{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Molecular dynamics application example"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pre-requirements"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-08T11:04:16.725553Z",
     "start_time": "2020-06-08T11:04:16.151957Z"
    }
   },
   "outputs": [],
   "source": [
    "# Primary imports\n",
    "import importlib     # Only needed for module editing\n",
    "import json\n",
    "import pandas as pd  # Optional dependency\n",
    "from pathlib import Path\n",
    "import pprint\n",
    "import sys\n",
    "import time\n",
    "import warnings\n",
    "warnings.simplefilter(\"ignore\")  # Surpress or enable warnings\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "from sklearn import datasets  # For sklearn test data set creation\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "# CNN clustering module\n",
    "import cnnclustering.cnn as cnn    # CNN clustering\n",
    "import cnnclustering.cmsm as cmsm  # Core-set MSM estimation\n",
    "import pydpc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook was created using Python 3.8."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-08T09:14:22.691008Z",
     "start_time": "2020-06-08T09:14:22.685971Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.8.5 | packaged by conda-forge | (default, Aug 21 2020, 18:21:27) \n",
      "[GCC 7.5.0]\n"
     ]
    }
   ],
   "source": [
    "# Version information\n",
    "print(sys.version)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Notebook configuration"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We use `matplotlib` to create plots. A `\"matplotlibrc\"` file can be used to customise the appearance of the plots."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-08T11:04:19.413868Z",
     "start_time": "2020-06-08T11:04:19.401710Z"
    }
   },
   "outputs": [],
   "source": [
    "# Matplotlib configuration\n",
    "mpl.rc_file(\n",
    "    \"../matplotlibrc\",\n",
    "    use_default_template=False\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-08T11:04:19.629939Z",
     "start_time": "2020-06-08T11:04:19.619848Z"
    }
   },
   "outputs": [],
   "source": [
    "# Axis property defaults for the plots\n",
    "ax_props = {\n",
    "    \"xlabel\": None,\n",
    "    \"ylabel\": None,\n",
    "    \"xlim\": (-2.5, 2.5),\n",
    "    \"ylim\": (-2.5, 2.5),\n",
    "    \"xticks\": (),\n",
    "    \"yticks\": (),\n",
    "    \"aspect\": \"equal\"\n",
    "}\n",
    "\n",
    "# Line plot property defaults\n",
    "line_props = {\n",
    "    \"linewidth\": 0,\n",
    "    \"marker\": '.',\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Package configuration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-08T09:14:44.838616Z",
     "start_time": "2020-06-08T09:14:44.836274Z"
    }
   },
   "outputs": [],
   "source": [
    "# Configuration file found?\n",
    "cnn.settings.cfgfile  # If None, no file is provided"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-08T09:14:45.318558Z",
     "start_time": "2020-06-08T09:14:45.305150Z"
    },
    "run_control": {
     "marked": true
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'default_cnn_cutoff': '1',\n",
       " 'default_cnn_offset': '0',\n",
       " 'default_radius_cutoff': '1',\n",
       " 'default_member_cutoff': '2',\n",
       " 'default_fit_policy': 'conservative',\n",
       " 'default_predict_policy': 'conservative',\n",
       " 'float_precision': 'sp',\n",
       " 'int_precision': 'sp'}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Display default settings\n",
    "cnn.settings.defaults"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Helper functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def draw_evaluate(clusterobject, axis_labels=False, plot=\"dots\"):\n",
    "    fig, Ax = plt.subplots(\n",
    "        1, 3,\n",
    "        figsize=(mpl.rcParams['figure.figsize'][0],\n",
    "                 mpl.rcParams['figure.figsize'][1]*0.5)\n",
    "        )\n",
    "\n",
    "    for dim in range(3):\n",
    "        dim_ = (dim * 2, dim * 2 + 1)\n",
    "        \n",
    "        ax_props_ = {k: v for k, v in ax_props.items()}\n",
    "        if axis_labels:\n",
    "            ax_props_.update({\"xlabel\": dim_[0] + 1, \"ylabel\": dim_[1] + 1})\n",
    "\n",
    "        _ = clusterobject.evaluate(\n",
    "            ax=Ax[dim], plot=plot,\n",
    "            ax_props=ax_props_,\n",
    "            dim=dim_\n",
    "            )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## MD showcase - Langerin"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's read in some \"real world\" data for this example. We will work with a 6D projection of a classical MD trajectory of the C-type lectin receptor langerin that was generated by the dimension reduction procedure TICA."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-15T10:15:38.246335Z",
     "start_time": "2020-05-15T10:15:38.234503Z"
    }
   },
   "outputs": [],
   "source": [
    "langerin = cnn.CNN(points=np.load(\"md_example/md_showcase_langerin.npy\", allow_pickle=True))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After creating a `CNN` instance, we can print out basic information about the data. The projection comes in 116 parts of individual independent simulations. The number of data points in these parts is written out for the first 4 parts. In total we have about 2.6 million data points in this set representing 26 microseconds of simulation time at a sampling timestep of 10 picoseconds."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "================================================================================\n",
      "CNN cluster object\n",
      "--------------------------------------------------------------------------------\n",
      "Alias :                         root\n",
      "Hierachy level :                0\n",
      "\n",
      "Data point shape :              Parts      - 116, [5571  4148  20851  99928 ...]\n",
      "                                Points     - 2641593\n",
      "                                Dimensions - 6\n",
      "\n",
      "Distance matrix calculated :    None\n",
      "Neighbourhoods calculated :     None\n",
      "Density graph calculated :      None\n",
      "\n",
      "Clustered :                     False\n",
      "Children :                      False\n",
      "================================================================================\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(langerin)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dealing with six data dimensions we can still visualise the data quite well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 750x225 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw_evaluate(langerin, axis_labels=True, plot=\"contourf\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Clustering of this fairly large amount of data points directly is in principle possible, but it will be slow. Pre-calculating pairwise distances would occupy terabytes of disk space which we can not afford and so we have resort to brute-force on-the-fly distance calculation. To allow quick and handy data exploration and cluster result screening we want to work on a reduced data set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "langerin_reduced = langerin.cut(points=(None, None, 100))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we distance pre-calculation is feasible and clustering will be much faster. When reducing a data set it is most important that the new set remains representative of the original one. Usually using a regular stride on the data points will be appropriate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 750x225 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw_evaluate(langerin_reduced, axis_labels=True, plot=\"contourf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "================================================================================\n",
      "CNN cluster object\n",
      "--------------------------------------------------------------------------------\n",
      "Alias :                         root\n",
      "Hierachy level :                0\n",
      "\n",
      "Data point shape :              Parts      - 116, [56  42  209  1000 ...]\n",
      "                                Points     - 26528\n",
      "                                Dimensions - 6\n",
      "\n",
      "Distance matrix calculated :    None\n",
      "Neighbourhoods calculated :     None\n",
      "Density graph calculated :      None\n",
      "\n",
      "Clustered :                     False\n",
      "Children :                      False\n",
      "================================================================================\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(langerin_reduced)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A quick look on the distribution of distances in the set gives us a first feeling for what might be a suitable value for the neighbour search radius *r*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-15T10:16:32.484528Z",
     "start_time": "2020-05-15T10:16:25.493386Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Mapping: 100%|██████████| 6.00/6.00 [00:09<00:00, 1.52s/Chunks]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(<Figure size 750x450 with 1 Axes>,\n",
       " <AxesSubplot:xlabel='d / au'>,\n",
       " [<matplotlib.lines.Line2D at 0x7f147d2eddf0>],\n",
       " None)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 750x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "langerin_reduced.calc_dist(mmap=True, chunksize=5000)  # Pre-calculate point distances and temporary store on disk\n",
    "langerin_reduced.dist_hist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Clustering root data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can expect a split of the data into clusters for values of *r* of roughly 2 or lower. Let's attempt a first clustering step with a relatively low density criterion (large *r* cutoff, low number of common neighbours *c*):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Execution time for call of fit: 0 hours, 0 minutes, 23.0190 seconds\n",
      "--------------------------------------------------------------------------------\n",
      "#points   R         C         min       max       #clusters %largest  %noise    \n",
      "26528     2.000     5         2         None      3         0.983     0.000     \n",
      "--------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "langerin_reduced.fit(2, 5, policy=\"progressive\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-15T10:19:25.993477Z",
     "start_time": "2020-05-15T10:19:25.652620Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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LYhHGpjbVTnWGi0GvlQyCF9JUZ8FTD9XKCjS5wfI0YH0Fovaw9Xsb16REzjvRsBcj1pFaiaLf+yMACGnJ4RrpjWHviGQk3ulOAJiaWYzr9gki2HEcSkT88K3f4vm334Z/1oKXWsv5+i5hZ6YLgP/GLniu7VK002DrL/3O8qCvjwdri02oLM2FXqfB0NgcyopMIsuNvS1VuDLsBDSQWF2x91yliNlKt97gSCuRxv3RvvtiB8anY78gv/HukGpeLukEe6EK5kjN4vfIz+4UkmHKi3kfieRCeME9cupaXGrINlrpuCHii5ytRigR0dZlx28unMSpyReQUQTeIqN7IPBzuc5Mn32rotha9Pglz/md5QkRZxzXR+dETgusRZawwe/EeTua6y3YvcMKQNodGqx8ZiVbb3CklUgDAn+0oxWrVImoXWeaBlZqzjvRcBeqf/rVBdGJquRIzTHTexzum4Mht79q5xdV21cieeAuuI6JObSeG1F9+yUFJtW3SRAsrHAIds/gUnlaS0dAoN1Cm98Hr7McGvMgcvMWIJxYu1zpynApKzJF3HB3otOOE512NG8W/27v943jqYdqUyJipkRa1aRxcIpcbVZqznu5kPOsU6oLmuk9jpEX/hizF99S3F529UdoXmca8K0vbEV9ZYHq2zXo0/JySCQxXCqPFV7aPBu0JeegW9eKWX0giuSdtsLrqIcm2w6NOfRidrm4Ob0Q/ZuZIOCWqkKcHDiLTucxNDbOhRRowpq+lULaRdKApUjOnx5oZ//mUVFbkY/HWjaknIKPB1w9wdDorOzP+xSGZIeaPFCw84t8zRqR+hz46j2BCQSnbXwbf6yEiuQSRKJpfe86gEA60jttRUbu0rxNTY7YUkrjB7Rch2ccpwbEyvyi2HU6S69FdpYO486lEqTm+sA5eG22B4Oz/Xyt3O4dVuzeYRWNxvqzV/8GQMC0d0f+o3jw9rvDGj21UsqT0nrpGItAE67kWe8XQkpblx3PHGznu3CU0s2LHj8OHrkoeT7YHM7s2vtIoKUhTXUWlBVlq7rNRHSREqmPGhGbR77ZCsfkUg2u3rlB9HP/TJn4MeMwJbHWSFIW3D6RQONYv3ESw8aXkVHUDd26Vvzhf8niU8Vcl+f5YbGh79sfdIg6PIWw5/ZRZsB8skbZ0jKSBsR+Mb4y4pRsbyWo8uVAaaSPEmd6HJIGgpxNO1Gw84uSzs7s2vuw5rPPqrKfxMqircuOoTH5iGy0UMkCESuRRmyUzG0HmWyDa2ItNB5xF6Z/vph/DAAQRNr8s5aEDE1Xk8LcTIxPL+JEpx1tjrOiOjx35rDk9ZvX1OJn51/mH3Pfwz/+8gKOnraJOkPZcoYTnXbeG/HgkYtJ2wSYtiIt1pZ+truMLu7KRCKIG/SX0OgcxEwvJLVlcp2d+vzkOJGIxMIKf2tJNmyO2AUbt7pOlgs0sfKIxEQ1mLmtPv86/FkjIoHFdmEKH2vMg/BNWeHXAP6JKgBIyNB0NRG6LrCjr/SLa/Dc4W5Rc8DdFVvx7Qe+hlc62/HWKfC/39DYHIbG5nDivJ0XXGxgBVj6W7HjIpMp6JK26U7WdTkWaivyk+YPmoywAlavk5/80KC/hKfNL2Kn5m2MvPDHmOkVjzqRS3kGS4MSqQt7IzSbQpsch8OJTrtiuoQgwkHJRFUunaa0gNWYB4G1b/CpvlCNAJxXmjbPhoxcGzTGUak1R0EftJazSd1UIITzb/OO1cLouB//+osFiWEtEBBqf/37f4TvPvppbJKx0fnxK5dw8MhF2dpVubmg3PPJQtqKtDM9DtW25ZxzJ20+eznhvhMAePaJbSjKC8yMc8v49ADAJt2A6PE7reIxUDmbdqL00X9AdvVHqZMzzWFTF2rXhVJtGhEtXGPa53at56M4Sq74ch3FGvMgtMUdoueKS8VBBWuJuBaTFWQZJZ2SoekZubawRV+y4HeWw2ffimlHqeh57vwU3neb6iyyYxp7bVOSSFlZkYn/27CCbG9LVVIFXdI23XlXTYnEQC9aJpwuUcg6HFPWVIcN4xflGTA2FdyIttdTgQdwin/8zmQpbr9xA+Pj4ygsLMTq1at5URaq25NIXdq67KKLbm1FvuoiLZlW0kTyw3Uawx+weGK90JRSoC63uNNROD1ASInhNgjDCj6/eKHLpgYBQJMzDO+0FZpbL9XmCTpDs+1Jn/oMhkGvxTMH2yUD2s/2job1/q88fDv/9xEaDBv0WrjcvqSa45u2Io0TUWd6HBibWggpIILhZOrT0r2Vv63Lzo964gjn++1wb8T3nI9gk24AvZ4KXJpZh7r2gNDr7+/Htm3bkD3Ri5EX/hgAMHnyJxRNS0PYG15hXpZq2y4rMoku4AQRCrY+8kSnXVJ4zkbMuMdsbTQbEcuGBZ+q/iSqC+uxv2vpM66PzkmaAryTFcjIH+BfozWN8f8OzPMUNxUASOrGArk60+Z6C/Q6jSQyBgTqSYMt1va2VMHl9kkMb9u67Dh6yobx6QX+/cnUPJC2Ig0ICLV9e6rxmb98Q/VtJ1PhYSKJtJOTpcO9ER3ujbce+fCDt4Ev3xOoYRsfH4fWJo6gzQ+8RyItzWBvbLu3W3FlaFoyASQaNlnz0vK8JSInmOfj0VM20XHERsy4x1wU5+gpG64MT2OIiYh9qvqT+NJHPgYgUDLC+QKKIm63mgI0GvFniNB6JfM55baRDEItx6jDzLyHF2i1FfkozM1C5Rozrow4FaeNjMuY5CoJM45g96tkuYentUjj2FieJ+t+HwuOCXW3t1JgoxxaDeCLwZDupuD6V1hYCKP2Dkye/An/HDUOpB9yg5N7BiZkV9eR8s7F0aRKdRDJSajFqNDeAZAuLNh0+pJvpHjYeasjA6ffOY67akqwb081fnPhJLSWDmj04k5FbdF5aLPHoARv2SEQYXIzP5NBpK1bnSOKiNWvL8SWqkLF75ub68n6nnEMjc1iaHQWPQMTEsEWrPY0WUoeSKQhPjP7Ws+NoLzkIp9WPTlwFueHu7F5TS3urtiq+ufFG6GXT7AbGHsxikWgcTi1Fuy604rVq1cDq1ej9NF/wPzAezBW3EFRtDSFvciqVb4wM+/B/gPtSZPqIJIT9uZeW5GPazdmRNZMwkiM3MJCaVucmNKYB3Fd+xb8Exb0HivHC2feBNa2irzDOIIJNK+jXlZ8sXVsyTLzc+umYpFIU+rABCCp/2ZN0kWD2juX6tc4YSfXuNG82SLyV5Mj3PuhGpBIQ+yeaUpwpqw/fOu3+PeLBwAERld8+4GvrSihFok5ozB8r8YQewD46cmbeOTBpe8rZ9NOEmdpDntM1lbkozAvC49/PJAqjyXlDiRPqoNITth7hlwtFJtNYZsJlLYFQDYV6c2yQ9iv6Z0OzKDWGiagMUg9wHiypPsGLFlcJFtN2pVhZ2CQun9pzracaXXzZgsv0DjRtKuxVDEdKkRpYDsn0DhRmAzjpUikIfCH2NtSpUq6REhZkQltXXY8//bbotXP+eHuFSXSIjFnBALfp5oWBmNTLkpBpTncRdig1+LKsBNXRqZFP+dukifO21FbkR/z5yVLqoNIXjghAQ1kPbhaz43A7W0PGZXhFrY/fuUSLk1cCAxIZ9KZ/FQBQeRLY5iAVkaceV0mZBiWBGJGrg1+86B8NM1Zjs0Lc9ik60Gvfk5QD7x8CBf3ep0mqOjirEyEi7JwhRoAjE+J69hsdmdIARbp/TBWSKTdgi3sVIPASeqXnFyb19Sq/lnxJFQ9RTjviZXnj10mkZamRNqMEqsdR1amlo41QhH2eNzbUiUr0oCAeBO63ivRVGfBxfFO9F+U2m8ASzVlnmu7oCnoQ0auTVagARAJNA6lejPOQBwAHsApfM/5SFIINQ5WbDXXW/guTO675Yaxc1waFFtrcY0IchTmZYlE3cANccSOawARLhLZRpF4L+hIpN0iXilP+MVh5cfuuWdFRdGA4PUUwd6jZnSye2CSomlpSqKNZXNVml5ApCbs8ehy+/jro2NiTjaKE2o01Pt94zgzek70vHfaCiyaJWOhohqczhjbcrAG4pt0AyKR1qC/xFsicT/v9VQsm5DT6zSSRRjb1ck2AX64ulgxslZZasYvj19V/LwTnXbRXE8hXNdpz8BEXOvTSKTdoqnOElGYNFwq15ixe4cV7/etT0iRYbxQqqcIhtrRSaoTSk/itoBSwDHpwjMHQ6epiPRELrMgvD7ev82O549dlhS/yyGMymnMZujWLf3MP1EVVsG/HHfOzeByZhamdYFbfEZJJwDA52gUvY41EOfEGCCNsnEsZ8Tt7NA5aC3XRcK1e2CSt9oYGp2V1EKXFJj4dLLQwL4ozxBWEEFpOhFfYiFoSIhHfVrajoWSIx5dnleGnWiqs+Cph2rT7oKvdhi4++pNVbdHrAyEY3bqKwsS8pknztMMT0Ie4fG4t6UK7/eNS46TcFPuoaLE3Cg9IX5nObaPFKBhfhar3YvI9IkXw77ZIrxryuEFGkdGSadkHBRnIP7q/A6J8GKjbEKC/SwSNObBsOeJasyDmC9+TXa01ZvnhvHUQ7WoXGOWvM8xMYf3+8ZRViS+v4fbAS43akqJeET9KZImIB4rdi5cmi5jotjWZLkVTLRcvDYZ+w4SKxJugZPIiBpA0VtC3m6B+7+wyHxXYylKCkyy5rbczVu4nbYuOzr7l27qcr5lrqnbZPdpenoTKrKvoMOYLfmZ36scbJCrTRMbiC/BRtnYn8VKpGa6wXzdbI5Z/I8fvohO+0VozOJO1WiyY1y3OBdNr6koEI2NMui1slG4eNSnkUgTEK8uz3QZE8W2JnNeNI9/fGPMlggA4FXDdI1YkbR12fGPv7yQ8M+V81Ei0odgdgts1CSYGOi+epNfYHDzndn7jJxvGTtykON8lgm9xmIA4p97Z4JHfUJ5oQlr0NgxfYC6NWmRmukG83XTmAfR7bnlIafC9ITCvCx8Z982foD7lqpCPPWQuOHvyrBTlFptro+8JCgc6ArEEK+I1/PHLsdlu8nE0dNix+cTnUsXuGef2IYcY2xrAj9ptLSEu1EOxTD2KdpjLx5d38TKQc5ugSOSqEnnlQnR49ffHZK8hmsw847VBhUZXATKq5cKuIwcBzJypc773mkrPNd2AYAovdigv4TPGl9Dg/4SX4P2gPEUnja/iAb9JXS4N+Kn8/fz0Tbu32rACsZQApL9fsqNm/ifyQk+Ofa2VKG2Ih/mENeDE+cDGbD9B9rxUms/9h9oxzM/EJc/cB5uHJVrzHjucLfqJRIk0mTQxGGb3QOT+PqPzsblj7hccKsM/vdREFHcuA6lNuhw8QMp890R4aNGnYfL7cXelipJu34oKJKW3rBCTPiYy7xEQ35Opuzzfmc5fPatEoHG1W5pbw1EDwffbBF8c4XwOurhs90LANCta+VrunasOioSZc2Z4u5SterOlAhXlLLv4b6filIz6isLsMqciXXm9eLXyQi+2op81FQUoHtgUhKhLMyV1v6xDQNc0IG7B7G1iYeO9fGCTnifmnN5oDcVrA75yylA6U6Gg0cuKmmNmOHC4ZxD+mMtG0QeLMKah0SOnYgGuTTA7h1W2SkD49MLqhVUkl9a+qFGrajb48ehY3149oltqFwTaLsPZ9FAkbT0JpT90L491Rh0zERc9+Scc4seF+UZFAvZ2dotr6M+rM/gR0WZxuGfL4Y2X5xeHSu8Dgguy34mOqFG3Vko2HmikSD0prvpXAWNOfj0hO6BScWM1vi09Lu/q6ZEtpb66GmbqDaxqc6C5w6Lu21//Mol/t83bs5DZ8iJuliNRJqAti676vVoSnQPTGL/gXZRbQJXqyDMdSdi7ESktHXZRQchsFQQW1uRj8vXp+D2iKWuWk0Z5JeWfvQMTIR+UZh88/lzEUV0afIAwd2IhfVJAPhC8nAEmrUkGzbHUkOB8N+AcqehxjwIbXGH+EmFMU8cvtkiySxPTbZdIsKuGrLQYTCiwTUPAHjb1Yi3XY3L7oUWLeEIPrmu20ydBouC+9UqcyaeebQBgNg8l+PEebvkHsSOAOu1TWH/gXZVpp+QSBOQaNNMAHj55DXRYzmRmEwdZkru7ye77IoirDA3S9WmjGT6Poj4o+RTFA2sQDObdHDOSUWbMNJNEEJD02gWmxWlZokwC4UogiZ8Pkiqx+uoB7RegBFp/lkLMGsBmHq1d3TFGJlcKxJlK02cxcoiE1AoLTTh6GmbKFJXW5EvEmrCjE5bl11RqMc6/QQgkSYi0aaZAHDTuRjyNcmwmufSr3KDbgHpylCEJvB+tVJHyfB9EIlDKe2gBqxA22TNw+Mf30jijOBRcpxXYldjKew350U3aHZGZDiwtWe+uUL4RhsAANo8aXMAAGgMk/BNVom6IL2Oej7CVDRWhrGipaaFG84anJrfHvG+LSdc0b9S52usyAkrNj3dPTDJW2vFO7hDVbECuKkDapNj1AXdbm1FPjZZ8ySvWVtswt6WqmW/YXDRs5da+xVn1AWDMwZlQ8LRsKuxdNm/DyKx7NtTDbNJ/fWktUTqMVVSYETPwERKNfgQ0RNNCYzb65fc6KOJqLDF777RBj6l552skH0PJ968jvqlpgHBlIER+32wXt+IqslsWK9vRP/kyhJoQECcxUugKSEXhOA6dNmgwa7GUr6ZQA0oksYQj6kD61bn4Ftf2ArgrGxYlDuBe21T+L2dHnSOv4PxKReGJqtw6NjcsnusqbVSaD03wo/v6L56U9KWHg72m/Oq7Auxcvj6j87KpiRjZXZBuk1uaDOQnPWgRGIJdu0rzM3E+LRMJkSFzjPNrS5OLn3JCTat5Szgy0BG/oDie7WW9qXh66bA/nNCzT0/jTfevoCJgXa4FyZhLFqFktubsXr9Z6HRys/3JOQZn3bx0bRnn9gWsKDyA/dvK+evGWd7R9ER4+dQJI0hHqk055wbbV12fOsLW4OOt9GYB3F8/N8xgT5o82z86IvlqJUTouZ34nL78NRDtTjw1Xuwt6VKtvU5GCTS0ouDRy6qPk+XQ66ji2W5zz1ieQl27ZMTaLUV+ZKB35HC1aJlFHUjo6STF2jC54LBC7RbcOOgFucm0f3rP8fY5eMo2FiO8vvXQ5ftxtXXf47+tu/GtM/pyMKiF4eO9eHgkYsAbi3wGJuOwrysmD+HImkMTXUWaDWAmub2g/O9eOY/30Jxazb8Gg8wZ4HjutQZWs7/RpNtR9aqIfzzqbPYvKYWd1dsVW/HwkTYhh5tBIxDeNHbt6ca+/ZU4+s/ko8wypGdRYdsOqFm04AStRX52LqpWDatRT5p6U2kDU9qFIqHa8wa6TZtZw5Dm6FHw5e+BlPNWQCA9YGNOP/3b2P0wjtYU3sNpsJ1IbZE6HUakXvBG+8OSeqtuea23dut+KcYP4+uQAxtXXZVBZpwVXTT0I6JzHOYyH+Fd3wWDpiVM+Db1VCOf794AD87/zL+7NW/wcmBs+rtXARwQ+LjMZrpW1/YGnb+3uaYpVqhNCKS4cbRMjW7yKcs1jJDmK8MOxXeRaQLcg1Pxsz43TrlnPjZ57ias0i2ufbOz6Lqvv8NQ8lSbbBGo0FuRSCrMz8ZqLESTiEgpJSuEl8jro/N4SRzT+KCEU11FqxeZYTHNRN1SJ7CEgxqpzeUVkHc80KTwkL3NqG3IP6g8WEseheB60vPnR/uXpZoGhAQsLGuFI+essnW+ETS+UkWHKlBOIbNNRXSsgC10WoCBlJNdRYcPW3DdcH4qVhTV8TKpa3LjqOnbbKdmfOL8TM55pz4WWNW9jktwNecBcPrNsLvLEdW7q3tz3pF3Z9TVwLbyLZm8qOhAOABnML3nI+knSVHKCosUjsV7nFhbiYsjIgzGXRwz03ciPbzKJLGoHZNmtI8Mv+sRSLgZrQDoseL3kVsXiMe6so+TiRqCNjugQnZSJjc967XyQ/oIguOlY+wY5gdoyIkETVhc66lBoLd28Xz+DjzZCK94I7PE+djX5hGg9x4KMlzWm9Y28rQz/OZG347LjN8bi+u/robzqsTKL5zLUzlfskoqE9kvUURNYaea8rlPuPTi7xRvVrXDRJpDFz91SZrnirbE84n8zrqRXPKWAE3Ny5+vHlNLXoGJrDGUI3qVfX49gNfW7YoGqCOOBqfdmH/gXa+2JKjZ2BCMvSWnVrQXG+hbrsUIdjgamBpLmwiasLGplyieXzsfE9qHkg/VsTf3Bd+N6a2+DxfWjM1/jrO//3vcOaZVzH42mUUbVmDDY9ugX/WIhkFVakf5oetEwGUpkOwKI2gihRKd8rQVGdBz8CEagaa7LgKY6YW8/DJhrVrLFXQ5vdhataNF9pOo9v5FgBg2AX0DOzA3RWq7FJUqDk14NCxPt5aJJhZZPNmC8qKspN2hikRHaxxtHABwE61KMw1hNWJGQvCeXyVa8yiGbRDo7M0iizFYVPvy2FsHgka82DQLk+fVwtthiAlmznNl9ZkrHZAl5kHYxEwax/G4qQXzo5qZGeXowPA95yP4BNZb6FSP8y/fZNugNKeChSaM2EpNEkirlOzoY3qw4FEmgzxnuEZrJ6h++okdOsCJ9+wSxxteudaF76Ej8Vtv8Jh355qvPjGB5JRGtHA1ZYF6+Dbvd1KN8cUJNjgajaKEW+BBgD/cfgwXv23b+P3//DPJZ3GJzoDrfUUxU1NhIuCl1r70VxvQeUaMz+3sTA3C3qdBr22KQyNxW7IzaHTauCJshGLLZXxu7Og0S/Vzml8BiBjya5I41+KuhVsKkFu0Ufhs2+Fa2YMPS9/HRde+EfUfnI1zOsN6MyehnOhHt/AkkhLxLD1lcq4cxF/+mgDXmsfFF07fu+OMv7fGZmmnGi3T+lOGRIV6hZ2fnKeaJoCZXH44XV1ss//6le/wpe+9KV47aYErVa+VixSuOgJ28HHOTbTTTG14TqG2b9xImoO/T4vZseu4OZAO/p/9330vf5/MDLuDGoFsyJSYETEsH/XE52BRfqJzkA9WuUaM1rPjfACLVel6RfRCjRAZhoB+9hlFj+eEHfPc+/PKp2H9b4Pw+dxwXb2IH8/sq29hA6DUfK54/2n0P+770e936mAVgOJv+fzxy5jaGwO9ZUF/PSgK8NOPHOwHRNOF3RZuVG3qVMkTYZEhbolfjgFfcjIlZ/JBix1unk8Hly4cAGDg4N4+eWXcejQIXz+85+P674Kufv21TEbjBblGfib87491QACnlh31ZTwj4n0hIuyHT1lE6Ud1WRxdhydP38aAJChN8LvC12ETQ0rqUmo6z0b6Z+Ow/QLIdy0AWFnJ4uwVAa+DEnqMyNnaZ+9kxXwORrhny+GpqAPmow5aPP74DeOIqOkE7mZ0wCAGftVADX8+y4bjLh9fg6XHfPwjL2F/kuvY/TSmyjasFP9X3oFUb0uH4+1bBCVZAhTndaSbNH9cXJmEdoMfdSutiTSZBCmYgx6bdxSn/5Zi6gVWsMsrFZlFePmwij/mLPfGBoawpYtWwAAZrMZHk9i55jdv60cxztG4ImhC93P/K6csS1B8KgTsJVFZ8zDpge/gcycQsDnQ+cvnlZ8LQ1dT234RcFpm+xs4kxd4hJOXHYFAFDUzTeZycHVOmstwb0zM/IH4J8axIzdhvx1wiBA4N+uyUCa1FCQK3rfBtc8bky78cl/uQzgctiLmUQTjqhVE8sqI97vG+dHHL59fkRk2yM35zMWSKQp0FRnEV2U4yHUhKuhVRnrsNY6h27n0kn0YM1O/OTcL/nHQ1N2nBw4i8bVt+OVV17B2rVr4fF40NjYKLf5uMAWdUeLJo43YGJlo9YxFowMnQEF6+4AAMyOXeWfL8ozoGZdgSiCRwIt9eGu91wDgWNiDkNjcygrMuHkhagtriJGbtpAKOHBLvbl8BovoOvfD2L9Qh3W7Kxceq/Xh+utgXtbYdVdoka23y3MoVL7AT7+ibtwPWtzyMXMchCJqFULYZTs2Se2wTExJxJpakMiLQz27anGlRGn7CorVrjVkKXeiW7nK/zzf9D4ML744UdQvboKr/S2ou1qO9oG2vG7C2/D9K4XH7zTC4djFLmrVgMAfL74mSsKUasuZ2xqaTgtQQhZztqvsSkXdu+wYvcOa0ijXSL14P7W+w8E0p9qdfiHCyu4lHw2g+FzmQGNB9rMpcYBfY4X6+7fgQ9+cRIjbVdRsKkE2swM3Oy+gRnbJHLLP4Sy2sfhd2bwIqcDQAc2AmVANsSLmWQhGlGrJj9+5RJKCqS1e0Bg3FxhXhZ6f5WBeZc76nQXNQ6ECWtyqTbXXR2ix4veQPvu3RVbUZYbOFEXpxdw/ntv4/hv3kTF5ttRePsnMLMY+BO2/u5EXPePQ826nETMZSRWHstd+8XZccg1NRCpz3IuEoS+muFGhdhmM63BKRJoAKA1jcG6uxhb9n8EpjW5cJwdxNCb/dBkaND08Xr8/59pxBbDB6r+LolAboRWvKityJeML+y1TUmCN5yf5w//pBmVpWYsLHqh0WijDohRJC1MmuosqK3Ij4v7tMY8iFm9uHBVv7gGJwfO4vxwNzIzMgEAV/+zG1pdBu78+u/hQ5aPYrG9CgUV29D1i6cxNDiACxcu4Pbbb1d9/4Q01VlQVmRSpRU9Q6sh/ylCgpp+fNFw7vIYb25L0bT0Y7k90lhfzWCszz8Nm0KzmW+2CNrsMdFzZms+Nn7mAdHzT47b0eC6DL1hEHbNFtxw1iQ0GhULSiO04sWVYSdqK/IxNbMoSnE211tQVpzNLzDf7xtHz8AEXj55LebPJJEWAWxHh1po88U3I++0FW+8N4R/v3hA9Py6BzfB7/UjMzcLH15Xh572BWgExV2XLl2Ku0gDgPvuLFPlBsqNzyCrDYIlETM7lZiZ94jO85da++kYTSPiuSBXkwb9JZTlt8OGyKbj+N058E6bsFZ7A592BUTE9wtK0GHMBjAC3aoRWK9vxFbXNHo9FUlvYhuJqI2FYMfD7h1WvqZRbY1AIi0C4rHC15gHoc1jVkIL+RjSXkGGeE4rsgqzAQA5+lxojGP46P0TGOnxoPPngZ/X1cn7qKnNvj3VONs7qtpFTGlgejgDuImVifBvCyxFrHoGJnCmx4GhMXU7pGJF6RglUgP2WlOYF7VjQsLYpBvAAlOL7J0p4e032CgaR0b+AABgBMBv9Pm4apD+rpvy2/HA9E08gFN4z7UJJxYbcRKZqu7/Ssdako27b02n4K4NSqlyv98XdU0aibQI2benGoOOmZh9wjjYwkcAgcG5Qeayzbin8ZNzv4TP7UXfkfMAgNtuuw0bNmxQZZ/CQc2oolwNEusCTpGM1IH923Ik8xie5a6TI+KH3LVm93ZrXBrF1KTXU4Eyba/oueyMWSwIHpfOGLA64+atKJkUOYEGBOw3OO4w9OIOQy/GRj8C5UFU8SfRVhuhsDlm8eQtgcaJfKVZw+65iWHZH4QBibQoKCkwhX5RmMi1T/tnLUEnD0z0OnDt6EXMjTjhmXcDAHbs2KHaPiWSXY2lsuJLbgA3ibTUYCU693PDkukYTD3krjVPPVQLa0m26p5XkRBKlJzPMsHmrwAwwT93u/8G3sXSBCL3QhGeXOxFx5wRlw1GnFuowVjRkOJnmp0FaJp1osE3L/nZbRnyOqNBfwmbdANxTY0uh9VGOHDHjjBgwR43piwd5ifmZqL9DOrujALHhHqeKHw3z7QVvikrPNd2AUDQyQMAoDNlwlRqhuaW0eLUVGJbxdW60SoJXjZyQZGM1GEl/i25+kmuoYBIHdjj0aDX4kt/e2LZBRo7MlCItuQcdOta4TRPiJ73MAaUN5CP7zkfwcjkFgwNtWDEfh9/vxHinbbCen0jvuc8h0/7AgGCD9xrRa+56l0j2c8G/SU8bX4RDxhP4Wnzi2jQX4r6dw6GnNVGMmDQayX3Qva4MZv0MX0GRdKiQM0hu4C48FFjHoS2uEPxtat0VjTt2oXbHinA1Zs2dJw6h1f+v1/g1VdfxXvvvYc77rhD1X1TQq0OKKUbdrAB3MTKJlETPULh6H0TALA4E5jqsTBl55/LLa1GVl6p5D2cPQeRuizX8SgkmP+XxjwoGQOlSKYT57Ms6HDezz/F3W/8TKRuq/E1QGD51eex4shCMx8lu+SR1qRt0g1IHscjmqaGf1w8uDLsxO4dVsm9sHmzBWVFgW7PL78Vm8wikRYFd9WUxMXkUBTSVSA7242yomyc+s0JnLx2Fq6bgbC01+vFnv/yCfzNX/w1mpqasH79etX3T0hTnQW7Gktjqs0LVWfGTn0gUgfub/vc4eBO6fGk/81/FD12jvTAOdIDAFh/71dkRRqin4lNJCnJmH4PJkqCRZFujjdie4YDF3IAp3kikJHJtcFzbRc2L8wFTUv2eirwAE6JHne4N+K3XUMAhmQXM++Um/FAuXgb8SDRVhthozA5p7LUDJdbHYN5EmlREA97AI15EBlrToV83eDUCH52/mWc+NZ/SH42cnUIe/fuxaFDh+Iu0oDYI4qvtQ+SCEtzlCKyOi1img0bDtv/x68jfk/lGnMc9oRYTpbbF02OYKKEFXDeyQrAkw3/rAX9znL0A9DqzyJDkArdkNuOp/WB6Fup4X0sGovRZ7rVnHarxqvDuRHfcz4iEXLBFjO49yv4Xv7SewDgs8bX4lKfliirjUioLDVLRH5tRT4fjX2ptR9zrthma5NIiwK1V17hRNAAwGmbgNkaEIjN//wp/vmJiw50PXcS2WW5+Pw/PoHHPv2YqvunRKwRxUTOxCOSE6Xh1hutyelTpdbqmEgekiX9zqIkSuQEHNdkoDGOyroDfPxWnVmHwYjvF0oXxppsO1x2E375zm8xdf08vItzWF1iwT3Va9HwlWeDCq4ON9Dh3sjXpwHAAziF7zkfSXqPtVg5dKxPMoWAtW9ZcMU2lJ5EWhSovfLSFp0P+RrPvBsdf3sc6x+u5wfkaryZ8MPFD8gtaizDjelJAOCnFWxeU4u7K7aqtq9CYo0oLiz6aOIAIRluzdUpxnvIejSsxKYHIjTcMfjMD5LvmJODrWOWW+R7HfWA1osa7QAuGwLFZtz/WVyObFw4/AwAoHD9DhRhDI4r7fjZ6/144Pp5NHzsz0IKrkTVpyUbLrdPVD8NQLTgzDIo22mFA4m0KGiqs6C+sgCdVyZCvzgcMkN3EemMelT8fi0++EWn7IDcvKoiWD+2ASUZNTg5cBZ/9urfAAB+dv5lfPuBr8VFqKkRUSRrDYJDWIOYjF2U9ZUFdKymCHJG2W1ddpzoTL7jLhSKNWpaL/yzFlxa141LyMNvc/Lw4LT4ntUwPwv9xDr82xutgEaLuk//LfTGXHzW+Bru1kzhD37Sj1cvTmL/+hfQsP7RoKJLrqYtXBJh4xELmTotFhXqL7gOT+GxJBRt1DiwDBw8clE9gQYAi9mAXupLw1J+XxXyNxbjemsfHGcH4XV5YVpjRuWnb8eaezbBN16LP9j5X3F++JjofeeHu1UXaW1ddnT2xy7S1LQzIVKHo6eDW9AsB/k5huXeBUIFlIyyk7GBIBzkvDa551kBd91fhK3DBUD2DXzYM4oG1zz8/hv4Z1s/yrd/EXpjLoBbgst8Cn9ybykef+kK3jz/AV5seDFoCrPDLV/TFoqVkCaVE2ibrHm4q6ZEVH/GHUtqNr2RSIuCMz0OVbfnn10DKIzwYDFb81H9h3KCy4vP79yBpjoLNAO1+Nn5l/mfbF5Tq9KeBlBzPlk8umSJlYnQtTsZ3d5PdNopPZ8CsGLs6Ckbjp62YXxqQeEdyY2wRg2+DD6CxtezCQTce5Mfgd9ZjqcWX0JDZiAwoNFo8MTHGnCy6MP86zjBtavkdQBX0Dca+G5CpTA73BsjFlgrNU16V02JpEY1HpkhEmlRoLYFhyY76okRIs6OvY6agQLcXbEV337ga3GrSVNzxelyx1ZUSaQG8RhMHA/IJ23lw9YUr8QUp1J60D9fDL+zPPBz42voXaiA8/pGuPMHMOM3oSDjOrYaezBqmsHPTaug9/ng1mpR0WBChfNt0fY63Bsxt+gE8Do/7igeFhuxpEmXE7mmgXjUrJJIiwK153eGU5MWDpdG+/Fnr/4NX4MWr4YBNRsn/H4yniKS06tKjpUabSGWEHZzDo3NJmXUNhhsevBX2iq8arll81DUjaKxMpRl9aDUNY8HXKcCHZ05FgAuOM0TqJuewG9yCwDkLW00B3gy43084BKnG08OBO5N1rW3xS0NGW2aNBlgmwbisYCjsVBRoub8TrUNMs8Px9cglLvIfW7XeslKIlLGpxeTskicSCzUNUkkkqY6C556qBa7t1tDvzjJYNOD3hzxAmesaAi/zcnD9wst6DAYJR2dF7Lk713c65ozzwEAPLpeXD/3r9BlmeC753PoLJyWjKdSiw73Rvx0/v6kEWhaBZNaFk6YPfVQbdwi7CTSokStm4rGPAhtZuimgUjQL0pnrKkNd2Du21ONXY0yzuwRcPRU8hWJE4mFE/6brHmi58uKVFwMqYDNEfWcZCLJ4Gog97ZUoXmzBUV5K6MxhEsHdhiM+HluIGWpRJvJjA0u8f3l9gX5Zi1uO3cYevFgwb/h8rG/xaJzCrV/dCdyGjoV54imIgZ9aNuMtcWJuTZRujNKmuosqK2I3XBT7UGxXkc9/vXCAqoLE1fg7PbEGAoMc9VCpDbc8SqsTVtflqv6rNxYmJ2PzT2cSA7YGsi9LVVJl/bUMLM1OTrcG/FNXwtshUvDzB+cnsAZTw0cnmLRXM8OYzaKpwrw5LgNlw1GbHDNo8E1j9vcLlw2GHFTm4F3TTkAgN/kFmBIn4ntzmn89PDbmBueRt3/bELeenFAQjhHlKVBfwnNmefg1wBvuxqTJjIWKfOLoWulr4/OYf+BduxtqcK+PdVx2xeKpMXAYy0bYt+ILzajOyFeRz18jkYACa7xiVFkrcSUAxEfhKn0Z5/YJntsxBq5jQWfH9j19FEcPHJx2faBiB32+qh2x36scAa1wuiVxjwIreUsNOZBXM0Sx1faMktQhGmU6EZhnMsW/WzaOIcN8x58ZvomAODnuasAAJ+ZvolVPrEYOZdpxFO/tmFkyImG/R+RCDQAuG1BfqHC1crdYejFnZm9eNr8Ihr0l2RfK/w9ud9ppXLoWB8OHrmI5w53x6V0hyJpy4zGMKnatvzzxfy/uXSsnGmj2uzebo1pFdozMEEdcwQP6zHEjY2CH9i9w4qeARU9CqNgftHHeyPFcwVNxA+2+Untjv1YYTMsmoK+wLB0ACjqDkwTEDCV5cZUlhuAtAmtSOOESesWjYT6bU4enhy3Y4NrHr/NCZQY+L0+XPyXdsw7ZvDUf2/EHRonLs94sME1j3dct6Mgtz8QidNexa+z5nB4YZfoc9haOe45pWiaaFLCrfmhyTabM1zkvNLUgiJpMaBKtEqnXiqnvMKJ5noLf5BwIf2XWvux/0B73Ar0m+osMTUQHKGaNEKGti47njscaIL5zr5t+M6Xt6FnYCJpZiu+fPLacu8CESVsxHbfnmrUV8Y25k5N/LPim7yGrSjRegOixmUOuS23NnCbv5gprqFqM5nR4JrHk+N21M/OoPdf34Xr5jw2P30PVuXo0eCax2emb6LBNY/73EP8vwHgE6YTkiiZnHVGMDsNiRBVufRnueB0AXf9ogHry4gaVhR+r3rFh0+1BFYi3EHCish4jmC6MuyM+r3j0y4yCSUAiA1t2dUpgKQRaABw07lIx+0Kho3Y1t62St1JMjHADlEHAG3e0mKWe86P0NUmN7UZ6DAYMa4Tl9Z0GLPRMWdEg2seL/68Fzd7JlH2sQ24ccaGHwC4MOfEGo8bADDtncHTd+eI3r8n67jINoOz0gi3Jo2dlMAK02RhV2Mphsbmwo60bqkqFNU83rg5j4xMU06ItylCIi0Gmuos2NVYGpNfmn+iCsgVnHwePTQ6d0TbWGOoxr2VO+F3lovGnSTCaI8nxro0muFJBDO0TVYfte8f7qbjNkVQ0/9RDYRD1AGIpgqI0p8MJq8XcxlLguya3sA3B7BcNgRE2ru2WXi9ftheXYqOXWFe+/TdDaLHH9IP4UP6IdEop0gmDrBCNBlTnVxTQDhm2831FuzeYUVTnYXPAHBodYZshbeFhERajHzrC1txvOMIPL7oOhz5A/XWSReuQPPNFcHvMcE/UQUbgOeH3kZ59jCAVfxrrgw74260x1FZao6pLo18sohgQow7PpLpJgoANscsRdNSBK5sI5mitUI4EcPXcQnQuXUwwYMilwZXcsQRM20QI07OnuPNp2pENWsA8OS4nU9vhiLaUU6sEE02fvZmP2oqwkuDcwINkAp+n8cVtWM9ibQYaeuyRy3QOPzOckk+3ucyQ2uQphC9LjP89kDqR5Nth8Y4yrdcD6MbGrOg+FIjDenHg7Yue0wXtsJcA93kCMmFbW9LFVxun2iBIVx0JEt9GkWBUweuEeTIKRvGp13LvDdSlOq2PHoPpgFM66X3onmNfOn5g9MTIhHG1acJrTrCZaWMcoqU+UUf9h9oR/Pm0Oe38DognGoxcCQTYy6KpC0bqqVhWCsOjwEQiDTfXCF8ow0BQSfsimEQetgkytoi1u9AQz5pBMQXNk6YcTVq3M+Fi45kMUHm5hoSK59YF5zxhq3jCodpnfQ2f+fcDD41M6nSXq1M9DpN2B6f5y6PiR7XVxYgP8cgmvvKZoO469TkzCJ0hpyoU0Uk0mJEtToGLWOe5xE3FHACDQjeBfPYPfdg4WZZ3NObQmL9DrLCcHcm0gOhCBPWgQibBzgRlywmyC63suM7sbI4ejo5hL8Sfmc5vI56kWGtEkavF/MZ8tfWd0056Jif4aNlHQYj2kxmdBgDAR/OoiPe6c5kQ6sJeCGyzDAm1p1XJtBcbxFF+wHgucPdogXmj18J7hMXDiTSYkStyQPsCsk3WQXfZJVsUSX7Wq+jHtB6UVOyCV/6yMf46EPPwIQkXRQPhBEQYVdeuGxkRgERBCCN0B49bePrHrnGmGRwiad6yhRC5TnKsdCgvyQ7dJwzLBcKtQy3Dl69WEjUuuYVGwaApaYBthaN/Xk4rMR0p1wULZLKpROddpzotPOLR+GC0lqSDZsj6jI0ESTSVOCxlg0hOz9CodTpIldUqfTaVSUW2S6UeBjssbC1b5EItdZzI7h/GxVfE2IkEVrmAupy+0SLg18dvwpngsc2FeVRPWUqodeJw7NKkZV4w7n3AxB1T3IIjcsBSASacS4bHk1wkaD3+fDz3FVwZMjLAOHMzw/ca9HtrkSZzoE7M3sFz5fhyMLOlIiiRYtcuQ8r0Hxe90K02yeRpgJNdYHhvGNTsRWaRtLpIvfa3TusivVhiSxu5opvlYRaUZ4BWZkZuD66ZORLxdcEC1ujBkBSAyJcHNRUFMS8WCLSG3ZObEaGBr5YZxNHAevez6YTlUpe9C4D3AYX5k2z6IByrfpq9yJ+k6vctVg0VoZ3FotwmZsygOuY9OfgbVcjhjwl+ITpBICADQeilh/RkWPU4cPVxXB7/KLrwXIRTue5z70QtZEoiTSVqKkoWPbUy//56Xl4vfIXlESnZPbtqUZNRQEf5bgy7AQ0gWYG4TSE5do/YmUgNyJKyVJmOSwUxqbIiDmVYMdDhVtYrja9ngo8gFOix0KUGghqfTdF4qxkAXBkSbd/Q58Z9PNdhjmcLZoAkMfXp92JwEzO91ybRK9NdD3aNx5rRM/ABM70OLCrsRQlBSZJmU0kTQGxsKuxlL8eBbv26LLMxbI/CAMSaSoR6/xKNXBMSiN5m6x5ePzjG0XF2InwTQOC23/IdfIRRChCWcosRxH/t54/h68/1kjHcArAZQFePnkNN52Ly7YfnHu/XE0aIC55qdEOYF3mMJ+e5Ir/ASBrbCPuXPVe0No0OXI0cxCGfoT1aX6mYYcTkEo1dGrRvNmC3dutIuudXtuU7EhCOYGWY9RJGgDCgTWslxOGL7X2Y1djacTbDgcSaSrRVGeB2aSDcy6xNTGhuKumJGi33HLeWBLh4UakHsEWGo4J9Wbhhotz3oP9B9qX/Xwi1CFUuUaiCOXez5W86PS5+Iz5QuA9BqPoNVe8a6Hx9wGQX7zkejwii46G+Vk0zTnxgWctRgS6Tlif9rarEW+7GkWCLFQNnRqUFWWjqc4i6ZgM19Puw9XFEU0HEgY47t8mveawUwVimTwUDBJpKmItyYm5y1NthJGFRM7yJIh4EGyh0dZlj9uFMhzofEodVpKtChd1+5zxGC7nin+22tyDAq0T1xTq0yrdLpTNOeHWakUGtg3ow4fGjXhJswU3nDX43cIcRpgomVCEhaqhUwPHxByeO9yNsiKTKCUdTKDVVuSjMDeLnwZQXnIRZ3ocyNRpQ85pffzjgf1/5gftklKd9/vGI1oQeqkmLTkozJVJ/i8zwlovtluO6sCIlUawhYZc00ymToPFBNUV0fmUOrDXyvrKAoxPuySNBdFiNupEncico320JTMd7o1ozjyHDa5r+G3OkqXRBtcC7vA7RSlQ0fuM2egwZuPB6QlcvhWF44Waax457mvo8wC9qMBP5+9X/PxQNXRqIFyA1VcWhBRZzfUWfOfL20TP7dtTjX17qvHc4W7J+81GHT698za43D4Y9FqR5Q8Q+NtEW/PqXZwNvrNBIJGmIrt3WJOi2wQAMnVaPPJ760Ure6oDI1Y6cgsNbmUr5/y/6PEjU6fFoie+kZFCcyadTylM55UJ3g/r+WOXY86YbKsuxv3byiXTNWKpaz6x2IinXb38aKfeyW2Ynl2FBvM5NMzPKgo1AHynJ2tiKzdEXQ6lGrp41amFcz5XrjGLzGWFyBmwO+c9OHSsL6gQO9PjiGg/m+stGHnNiIGJuZmI3iiARJqKNNVZVDWxi4VFjw+HjvWhpqJAItToZkKsVLgOzjM9DtxVUwIAoi5hOWPpTH38RZpGmyTjDwhVkJs8wAkqNUpahsbm0DMgDq7EaozOC6X5AQx5KtB/q1YMAJrmlKNpLEomtqFSmGwNXTzr1Ngu3OZ6C3bvCIxBZE3VX2rt55sO2NmaR0/ZcGVkWmQH9cZ7Q2F/bijKirNhMsQms0ikqcyTD9UmlVcT1ckQqYRwtmKvbQrN9aGP7UgLhqNhbMqFg0cu8kXnxApHJkO+papQtVnNvbYp/mYvrK2MtWSGFUpsrZiQB6cn4NZqcVObIer+1PvkFzSL/sjkQrzq1Pa2VIksnthIWVOdRVLUf+K8nU9XcucoF7Bg7aDysjNFok3I2d7RiPZ1S1Uh5lwe6E0FqyN6owCaDKwyySaIqE6GSCUkN0kmgFWYJ73J3b+tHJm6+Ee6Ik2FEMkLF5Xh2NtShaY6i2xKHQCsJdn43K71qK3Ij+rzuOOa/dxo0ZgHobWcxVlDoJPgMtP12TA/i0/NTOIz0zexyieeG33Ra8X3nI/ginuN6PlMTWTOBWxdmhp1arsaS1FTUYBnftCOo6dtopmZbV3Kw845Dh3rE70OWIqqfW7Xejz7xDY81rJB8fPDiXLubanitwUAN27O04D1ZEON6QOxUphrwJ8+sjnpRCNBxAJbS7J7uxW7t1v5FIfcSvf9vnHcU2+JezSNS78SKx+l+l2lrs8nH6oFIHWdt5Zkw+f3Y2N5HtxeP8anFmRv9JyoEKbhhPXNSmlQjXlQMh5QYx6Ebl0rAMAG4JmxJugxBmDpntQ0t9RsuME1L2o20Pt96CychnOhHt/AMICAtcdbWYBGNxj2VJxQXm/R0HpuRHQeC2v42G7v5s0W2e9bLrskLAM6eOQiCs2ZGI/SJ8/l9uGpW8cDG9GLBhJpcWD3duuye+zUMrVoBJEKBGt+USozcEzMxV2gVazOplRniiFXvytXcM5F2eRuyFx9Mps+a95sQWWpGS63TzZdx6Xhjp62BVKvMoFgoRhDUTc813bB7yzHanMPhPHmsSLlGqsOgxGXDUY+9an3+fCbVUAGumED8M3rLSjLcOB04QSAEehWjfCfEw6hvN7U5uipQC2h8FrAmtEGyy4dPHIx4nv32iITrgu6foXbV4q8RgKJtDiQDB47aoXNCSLZkLt5KtUKsRfoeDFwY5bGQ6UBfKTrlnji/LcAeQGnRFlReKI+WLcnO79Tk22H31mODa4FnA6x3Zc0W/CyLxe2wiVj2AfsOpzJLAawdL5czdLhKtYgA0tNDtriDviAsIVaIhmfXpBcC0oKTGG7GkRTsvA/H74dACTbF9bPxgKJtDgQyckaD7iVHUGkC+w5x3VzqVXoHQ7UpJMeqNEhH06tcLBjt3mzBZfmsnFT8Jx/NrBP09Ob8GTmf+CywRiIjMkMUr/hrIEm244MwXNHdRvhd1qgW7Uk0rhtCueEak3j0K5rjSiiFi+0GsAnaPIozMuStekJ52/W1mVHRgRd2rUV+XwNbCQLx0ghkRYHYm2ljpUrI1GbGxPEiiRYGjRRCyZq0klv2Jtyc70FlWvMeOPdIeTlZGLrpmLZ9KYSwRb7N/19uGlYSul5HfUo1H4IY3AF0otjn+JrwTwTJmjz+6DNE9uKsEPaubo2z7VdWG3uwQbXAqYX5tDh3gjPtV3QFndAa1r6HbnI3XLiY7pwOZsN4bUAgKJfGgeb5iwrMmGTNS9oFJ67v584b+ctQJrqLDh4JDDVoKzIFNsvdwsSaXHisZYNy2fFkRiDdYJIKuRWs011loSkPDVIvs5uIj6ws2OVzJQr15j5G//1sTl0D0xGNN9VKDaEvl8A0OPoRUbR0mvXWbJgmMziG9ZEtWBuwF8gTrvlFY9j8koDP6Rd2HiweWEOT+tvTQ8wnwv4mzk3wgdAy9XAQRBlS0Lk7DWU5lXLpSWbN5eis18suoMFXk502nGi0y6ahNBrm0JRniHm34VEWpzgTrC/+PG7mF9MbI0a1aMRBPjC61hc3MOF1kXpAXvTZ93p97ZU8dEyuXRXpClx4cLjyrCT7/hko2ADV83wO8Umq1wqUGMeREauOIo2NVqIitXZGLhRLomGKfmbcVE2VtQlE0dP2UTfL2tKfPS0Lay0pGNiTiLIHmvZEPJ6wo6aUsPlgXzS4khTnQV/9fidCfu82op83puF9Y0hiHSCu5kqXVAjqT0Jl4NHLqq+TSK5YG/ob7wr7pzk7Bea6iyy6e9YUuLCxbffWY6N2k/DO1arWBvGpQLZBgPflBV+ZzkGbgQ6TzlPNY15EEBwfzO/sxw++9akEWjWEvEUhROddvF9j109KZgUC9nVWCqZ0bq22ISmukBHbqIhkRZnElG4rNMCzz6xDT/8k2YAgfbjl1r7sf9AOwk1Ii0Jdd552WIWFfjZm8vXLEQkBvaGfp25mQt/zmVTmustaN5siSjVKQdrunrnmsawBBOblvRNVgG4Jc6sb0K3rhUZRd3QrWuFxjzI+5u9Or9D1VFOalNfWSA7glF47stlleTMbPe2VPGPW8+NSOrJNpYHfOSuDIeu95ZLcXrdC1EXilO6M84kotNzozWfP/nZmxN1nBHpiKTbs94CvU4T19q0+UUfvv6js/jWF7bG7TOI5aWpLiC4hBHa5noLyoqzZQvT1Z6VLNwee60vKzJJIkAAZNOUIo81AVwzQKL9zaKBTS1yyAllLk3J1Y6xgpm1zSopMIlqWQP/PysyGFZidYFRlObMNuowNjE6GMnvJoQiaXGGO0hyjPHTw8J5b+xKjzrOiHSEjTp858vbUFKgTrdVMN7qGKHodYqze7s4OrN7h5VPcSYS9tq+viwXe1uqsMmaJ3reWpItSVOyKVCOZG4GCIddjaWyQrmsSJwWZQWu3H2TvV5Eu8DzeP3IyBQMR40QEmkJoKnOgg9XF8dt+8KQLntzoigaka401VlEN89ELFi8PlCZQYqTLNdYYToVCFhBHDrWJxlP9uRDtaJ0HiCTAp2ywjh6f9LUmkVL6zn5RVKo4IXc31St64Vr0YuMzGypWV2YULozAbR12VVPszRvDqwOEhFiJ4hUIFF2HACVGaQ6sV5jb9y4gfHxcRQWFmL16tUx7QcbFTrT4xB1mcq9Ri4Fml+SjWlIa7yMmdqEOxSEQ2FuJsanpfM1oz332L8pV6sW6dQAYWZLDSiSlgDi0TxQWWpelhA7QawE2rrskg7neCyWlKAyA0KJGzduoL29Hf39/Whvb8eNGzdi2h57rPXapnDoWJ9oAS93PLIpULkifABJKdAAyAo0QP53lavVDod9e6olUchQ7N5hlbzHuzgrX0AXBiTSEkA8LtjJMB+UIJIRzn6D7XBO1Igo9c09iFRifHw86ONI4VJ1bC2a8HhnOxgjpTA3dlPWeLPJmsenKtlFWiy12jUV4WcquZGM+/ZU8+nT1auM8C7OzYS9EQYSaQlAmO/e1Vga8vXhvIZW6gQhj9KqmXWEjxd+UF0aoUxhYWHQx9HQVGfB4x8Xd2MK7xFtXXa43D7sbalCc31gbGEw9DrxUsOyyhjzPsabxz++UTRlQLhIi6WOMJLFnXAkI1cTazLEVlVGNWkJQpjvvn+bHd8/3K0YXmbbqFeZM/H7d69DTUWB7GxCgiCWkBuwDCQ++vz8sct0nhISVq9ejW3btqlSkxaMnoEJ2ZFSQpRGHTXXW0SlAVs3FcN+cx7j07E76EdDYa5B9Nk5Rh1m5j384+bNytYkXI1auHWE7NivSGy0Tpy34+CRixHNaA0FibRlQijQhPO+AOCumhL02pZGfDzzaAP/x6aLPkEER2nYeiI8C4VMzsjXzBDE6tWrVRdnR0+JRyCFU/Bev74QhblZEv+v1nMjfPNBMJGXKMqKTCKRJhRogNgWRWmRFgzh/FXud+XGfu3bU63YcNRcb8H49IJI6Arfz00AisWCg0TaMsAq/drbVuHzH6sS3VQoakYQ0aM0bJ01Io0n991ZlpDPIYi2LntYRqssW6oKsaWqUPa93Iir5w53y7wzcRgzMxSNazdZ80RpTu6eKbdIU0I4j5WFE1xyAo0TcMHe/37fOOZcHmRmF0Y9UJtq0pYBuSJG1tOJfUwQROywRqTxomJ1NvbtqU7IZxGEZOEvU3O2tlhszsoVubN+axxcDedy1z/PL3oVf6ZUhwYg7PtnqJqzMz0O2ee58gmlxg0g8N0tuJT3PxxIpC0DyWKGSBDphvDci6XbLRQDN2apcYBIGKyQeqxlg+T4rizNFT3mRAYXgWKtIw4d6+OL7uXOlUxd/PuY2QYGIaHq0MKFbShiG/dYc2AOdvwU27jBieAsQ0bY+yIHpTuXCTKcJYjlY2h0FtBI60HVhBoHiEQhV4fJls0AEKU1t1QVilJ1L7X2S6JpXNH9vj3VONs7Kqq9WvT44/57uYN8RmWpGUBAZA6Nipvwwo3+tXXZRfV2XArz/m3i5oErw07RdycUiBxKtbAmgw6Ls+PigsEIIJFGEETaEKx+RG26Byb5SARBxBs2qiTX0ciKCEm9GRO44oTc0dM22S7Q5cTl9knO5+bNFuzebg37nGObLa4MByw02O9t9w6rpG5P7txWCr7E4pNGIo0giLQhUYa2ws8jkUYkAjYqJldKw4oIthNy93Yrdm+38p2OR0/bEtZoEykGvVZyPpcVZUt+Z9ZSQwSbTVXIrnJRsqOnbDjRaceJ84H/ElGuRDVpBEGkDYkugl7uomsifYimLkuuPprzBjt0rC9pBRoA3otMCPtYafoIB9tIFKyxqKnOgrLibNFzSt+x3Fi6aKFIGkEQaQN3U3r+2OW4pm+MmVr81eN3UhSNSBjR+IMB8im6REeco4GLjO1tqcKZHgfuqikJ+XuwkW2lOrJgnxnqO2YjmnMuj+Q1kUAijSCItIK7KbV12fFPv7qA66Nzod8UITtuX00CjUgokQqOYCTa+DlSaivy+XOYK/zvtU2hpqIgaDpXTlRF0sQXznfMCkOy4CAIgoiCpjoLNpZLvY3UoPXcCFlwEAlHLX9NJe+0ZIFrygmV4o2H3VWo75gVgmTBQRAEEQVtXXaJk/gqcyYWPT7J2JlooKYBYiUjjDi/3zcOx8ScrPP+csFFs9SMlAVtMggTYbTNoNfiL1720lgogiCIULAXYLm6m2cebQAAUVu/tSRbNGs3XKhpgEgFOJGz3OOhzEYdnILFE3ceq5XiDac7NpSIE/58S1Uh9h9ox9TsYkxjoUikEQSR8shdgNlVOOcQDkj9pA4eubjsQ6YJYjlhnfkTiXBOJiuS1DKGD9VkEErEsT9fWyQewxUtJNIIgkh55C7ATz1Uq7gKZy/8+/ZUo6aiIKKuUEp3EqkEN0ZqOT87npN6QqVOQ4k49ufXx9RpSKLGAYIgUh4lP6VICq2b6iz44Z8049kntkmGVcuxnJEHglCbRKbvdVqxq6zws9X0IBMSqskglCeb0vdj0GfQWCiCIIhgxFq7IkyzAIFh1aGsO7gRMwSRKtRW5CdkPJTHJ57Z+fyxy/y/Q9WNxUKwSF2oawg/lYCZ0pBvzsSkg8ZCEQRBBCXaVAlbaxIuPdfiM7idIBINOyMzUWKNo3tgEvsPtKN5s/wA+EQR6hrCdsRuqSrEl9+KTWaRSCMIggjC0dPRZSrGplw0YJ1ICdh6Ky8T6UoYzMcmawe1mrVzVDRBEAQRjBjuRythvA5BhIIVQ3fVlAR9vdkYn/jP7h1W1c1pkx2KpBEEQQRh9w4rTnRGV6ScrCt9gogEpXqsMz0OlBWZ4Pb6MTDi5P0EnSqYQQuxlmTjSUGDTzqIMw4SaQRBEEFgHcRff3cIQ4L2ep0W8Mi4EzTXx88ugCASjTCFx87M5M4PW5zmfZqydJJar3Q5tyjdSRAEEQLOqmPfnmp85eHbRT+TE2hAIAJHEKmInGeYWlFja0m25Lm7akr45oWXWvux/0B72szGJZFGEAQRAUI/JbkB1DptoPuNIFIVOY8w4VD2WI7/ilIznn1iG2or8rG22MRPGwg1TD1VoXQnQRBEhHCpn4NHLkrq1Ty+JcsA7gZDEKlEMM8w4flgLcmG2aSPyK6jstQs2x0ZzjD1VIREGkEQRJSEGpVz6FgfaioK0qZ+hkgf5IQUG92yOWYjjqodOtaHs72jeKxlg2RUm1rD1FcSlO4kCIKIknBGP6VLWoZIH5RGM8lFt6IxveUi0ez2IxnjliqQSCMIgoiScIZO0wxPIpUIVsDfVGfB3pYq1T7r/b7xuM3qXCnQ1YMgCCJKlOpidjWW8v8+dKwvbW8wROoRqoB/355qvrEmEsFWsVra1WnQa9Oyo1MI1aQRBEFECeuh5nL7sKWqUPZGlk4pGiJ1CaeAn61XO9PjwNyChze7BYC1RSZotRr+uYEbs6Jt7G2pkkSq0/E8IpFGEAQRA0pz+tKxE41IfSIp4Bea3rJcFxhCy8EteNL9PCKRRhAEoTLp2olGpAfhDhBnI8rN9RY4JufRa5sK+V6h91o6n0ck0giCIOJAuDcygkhV2EgYN4Vj/4F2/jkurclFyVhBlu7nEYk0giAIgiBURykSFiw6ls6CTA4SaQRBEARBxAW5SFi6R8cigUQaQRAEQRCq0tZlT+taMrXQ+P1+9Teq0UwbDAbz+vXrVd82QahFf38/XC6X0+/35y73vtA5Q6wEkumcAei8SVbmXB7cuDnPP87PyYTfD2QZMmAy6ESvW3B5Jc+nErGeM/ESaXYAJgCDqm+cINSjHMCc3+9f9mUenTPECiFpzhmAzptkRW8qWK0z5Mj6ZSzOjtu8i3MzGZmmnMzsQiv7fOL2MmHEdM7ERaQRBEEQBEEQsUFjoQiCIAiCIJIQEmkEQRAEQRBJCIk0giAIgiCIJIREGkEQBEEQRBJCIo0gCIIgCCIJIZFGEARBEASRhJBIIwiCIAiCSEJIpBEEQRAEQSQhJNIIgiAIgiCSEBJpBEEQBEEQSQiJNIIgCIIgiCSERBpBEARBEEQSQiKNIAiCIAgiCSGRRhAEQRAEkYSQSCMIgiAIgkhCSKQRBEEQBEEkISTSCIIgCIIgkhASaQRBEARBEEkIiTSCIAiCIIgkhEQaQRAEQRBEEvL/APpvUZQQwEzxAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 750x225 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw_evaluate(langerin_reduced)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Clustering hierarchy level 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that no data point was excluded as sparse outlier and we split the data into three clusters. Especially the first cluster can obviously be splitted further. Let' recluster it applying a higher density criterion. For this we first need to freeze this cluster result and isolate the obtained clusters into individual child cluster objects."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "langerin_reduced.isolate()\n",
    "current = c1 = langerin_reduced.children[1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By default, the isolation assigns an alias to each child cluster that reveals its origin. In this case \"root - 1\", translates to the first child cluster of the root data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CNN clustering object (root - 1)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "current"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-15T10:22:21.659782Z",
     "start_time": "2020-05-15T10:22:06.533636Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Execution time for call of fit: 0 hours, 0 minutes, 1.4944 seconds\n",
      "--------------------------------------------------------------------------------\n",
      "#points   R         C         min       max       #clusters %largest  %noise    \n",
      "26079     1.000     5         2         None      3         0.727     0.000     \n",
      "--------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "# Recluster first cluster from last step\n",
    "current.data.points.cKDTree()              # We pre-compute neighbourhoods here\n",
    "r = 1\n",
    "current.calc_neighbours_from_cKDTree(r=r)\n",
    "current.fit(r, 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-15T10:19:25.993477Z",
     "start_time": "2020-05-15T10:19:25.652620Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 750x225 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw_evaluate(current)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Clustering hierarchy level 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The re-clustered data points are split into another three clusters. This time, we see an oportunity to again re-cluster the first two obtained clusters, slightly increasing the density criterion further."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CNN clustering object (root - 1)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "current"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "current.isolate()\n",
    "current = c1_1 = current.children[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CNN clustering object (root - 1 - 1)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "current"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "At this stage we choose a `member_cutoff` of 10 for the fit, ensuring that we do not yiels small, meaningless clusters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-15T10:22:21.659782Z",
     "start_time": "2020-05-15T10:22:06.533636Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Execution time for call of fit: 0 hours, 0 minutes, 0.4998 seconds\n",
      "--------------------------------------------------------------------------------\n",
      "#points   R         C         min       max       #clusters %largest  %noise    \n",
      "18947     0.450     15        10        None      3         0.946     0.027     \n",
      "--------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "# Recluster first cluster from last step\n",
    "current.data.points.cKDTree()  # We pre-compute neighbourhoods here\n",
    "r = 0.45\n",
    "current.calc_neighbours_from_cKDTree(r=r)\n",
    "current.fit(r, 15, member_cutoff=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-15T10:19:25.993477Z",
     "start_time": "2020-05-15T10:19:25.652620Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 750x225 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw_evaluate(current)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "current = c1_2 = c1.children[2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CNN clustering object (root - 1 - 2)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "current"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Execution time for call of fit: 0 hours, 0 minutes, 0.0964 seconds\n",
      "--------------------------------------------------------------------------------\n",
      "#points   R         C         min       max       #clusters %largest  %noise    \n",
      "7077      0.500     10        2         None      3         0.613     0.010     \n",
      "--------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "# Recluster second cluster from last step\n",
    "current.data.points.cKDTree()  # We pre-compute neighbourhoods here\n",
    "r = 0.5\n",
    "current.calc_neighbours_from_cKDTree(r=r)\n",
    "current.fit(r, 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 750x225 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw_evaluate(current)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Clustering hierarchy level 3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And on it goes ..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "current = c1_1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "current.isolate()\n",
    "current = c1_1_1 = current.children[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CNN clustering object (root - 1 - 1 - 1)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "current"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-15T10:22:21.659782Z",
     "start_time": "2020-05-15T10:22:06.533636Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Execution time for call of fit: 0 hours, 0 minutes, 0.3754 seconds\n",
      "--------------------------------------------------------------------------------\n",
      "#points   R         C         min       max       #clusters %largest  %noise    \n",
      "17927     0.400     15        2         None      2         0.867     0.015     \n",
      "--------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "# Recluster first cluster from last step\n",
    "current.data.points.cKDTree()  # We pre-compute neighbourhoods here\n",
    "r = 0.4\n",
    "current.calc_neighbours_from_cKDTree(r=r)\n",
    "current.fit(r, 15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-15T10:19:25.993477Z",
     "start_time": "2020-05-15T10:19:25.652620Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 750x225 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw_evaluate(current)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Clustering hierarchy level 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "current.isolate()\n",
    "current = c1_1_1_1 = current.children[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CNN clustering object (root - 1 - 1 - 1 - 1)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "current"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-15T10:22:21.659782Z",
     "start_time": "2020-05-15T10:22:06.533636Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Execution time for call of fit: 0 hours, 0 minutes, 0.1906 seconds\n",
      "--------------------------------------------------------------------------------\n",
      "#points   R         C         min       max       #clusters %largest  %noise    \n",
      "15548     0.280     15        10        None      2         0.676     0.142     \n",
      "--------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "# Recluster first cluster from last step\n",
    "current.data.points.cKDTree()  # We pre-compute neighbourhoods here\n",
    "r = 0.28\n",
    "current.calc_neighbours_from_cKDTree(r=r)\n",
    "current.fit(r, 15, member_cutoff=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-15T10:19:25.993477Z",
     "start_time": "2020-05-15T10:19:25.652620Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AICB/8MWGWK7lLCMYDGI2m7OtXqFQaE3n4sLAz2w2Z8udnZ3FYDBkuy9VKhVWqxVFUbLZByKRCOUdn8PU9AwKEKaciopyNHM63PHc/A5WKkUhbww6iemfpqBZTwGgAD/pmSSoukJxgReLxZLNoCD3x9tJkLZEpPcMtenRdZXx/tD8BXSkzoQxOASFD2TfkxwxQqyNx+NhfHycsbExZmZm8Pv9JAx1RGyH8Y9eY3biCiaTicrKSlkJRGyYpUszqdVqDh06hMfjya6lmenOs1gs2c+s5lxcuLKA3W6no6MDtVpNbW0t169fz6aJKioqQqWa7/bJJF9PJBLYm44vKu9W2ExMMaz5O6+HJ3b7VIWQupzXe+HZFgWCvmyQJvfH20mQtoDb7SY2fGldZfijSb5+egKboYDfPVZOQdU+DjUckj53IdbJ4XCgKAqxWCwboEUrP0UB4Kg4inb4PBpjMecjTrrPKxQUh5CxySLXFgZQmddOpzP7t720tDTbuhUMBrP7rEZmZYGl9429e/eyZ88eXn/9dS70+SFViVnl44mD1ej1es6cOUPRrmfRGGyLyotHfGDcmiDtbrxzJn75E/tzMoZvp5IgbQGPx0PQUE2l7+KaPp9IKfzuy0O4Qwn+7qUmqooNhEIh9iy4gIUQa+N0Ojl69Cjd3d2UlZURMi9OzGmpO5z9OQL81etu6uomeWxf+SbXVOxkCwOodDqdbVnL/I3P/H9oaIhQKISiKGs+zsL7RldXF5cuXSKdTvN2T4oJ46OQgglqqArrGC4wU/xQC6q4nvSCcpRknFl3N8aGyrV94Q309OEW2tt3b3U1tjUJ0hZwOBy8nS6lETWFi07ze0umFf7Nq8P0Tkf5Hy/toqOmCEjDmT9jRhWg5Onf3phKC5En3G43oVCIw4cP09nZSShx7+zlf/q/LtD8rx+WhySRU5nzqbOzM7uGZlvb/LqUmckEdrsdu90OfNxFutYela6uLv72b/92vqs/YSNa8alF7799Iw5oAQcULP6sSqNDbWlYtC2VTFCg0a6qDrmknZvmt15o57ljEqDdiwRpCzidTo4fP07Bd/7bqj6XSCn86x8O0eOO8r1/1kKtfXEfvO/0N9BXt2PaffwOJQgh7sbtdnP+/HnOnTuHx+OhsLCQdGH1PRcfngmn+fP/9hpf+dLzEqiJnPJ4PNkJAuFwmGvXrvHoo49is9kwm82MjIygKAoqlQqz2ZztIl3pLEa32837779PMBgkEAhklyFM6lffIlZoW5x6YysDNIBULEDK2wsclhQc9yBB2hLt7e30f2fl+yfTCr/3gyGGvXG++cVmyszLn/zBS69IkCbEGmRm0507d45XXnkFnU5HUFWG86hlRZ8/d8tIb2+v3ABETjkcDkKhEADRaBSj0Zgdg5YJ0Lq6umhra+P69eurmsXodrv57ne/y7vvvgtAYWFh9j1NbJwEB1dVV3XB1gZlS2k0GqxWq6SoWgEJ0tYhlVb46ivDTATm+Ptf37Uoqe1SkRvvMHruVYKWZnliEGIVFnYV6XQ6AoEAxrbnV/z5ObWJdz4cpbXVLdedyJlMz8vp06cxGAz09PRgMBgYHx/HZDIB85MI1Gp1No3GSmcxejwe3G539nVRURFtbW1YrVbS6TSvdfmZiNo26qttAIWFyUetFhNWq5Xz588TCAQkBcddSJC2xMxbf8X8CXVvf/DaCG/1BPjNR8r44VXvsvt86UhZ9ufRi28yXauWJwYhVsHhcHDq1Ck8Hg+zmkpM+z+DqWp1LQld42pZ2FnkXHt7OzMzM7zyyiuk02lu3bqFoiiUlJQwOztLNBqlrKxsURqNez2ku91uZmZmMBg+no1pNBp58sknaW9vB+Bn/8dPITp3pyK2ocXZ4aeTJfyX125wtD7J1NQULS0t2Gw2ScGxDAnSFgj3nMZ3+hsr3v/CSIREWuGv33XfcZ+FQVrUXJ/9WZ4YhFiZ6elprl69yvScFcehL67qs7+sP8k+7U2uJXbR92EpzcFzFD34jAw9EOuycMmm999/n4mJCWKxGFarlaKiIgwGA9FolJqaGtRqNQ0NDbS3t2c/Byz7939h919tbS1VVVWo1Wo6OjooLS3lzJkzdI8lGJy6nwK05XkSNtRqL83NzVitVnmAugMJ0haIDq0u9cap31lZEqaiPU+SbjxOePrjYc7yxCDEygwMDBCLxQimS1lNpqd/UfRdjuiuA9CoHYcE0AMTPT+h4qW/kEBNrNjCwe1ANpDq6upiaGgIv9/PzMwM6XSakpISzGYzBQUF2RYitVpNV1cXp0+fxmw2Y7fblw1KFibKtdlsNDU1sXfvXtxuN3/zDyfpHgkzmyoEijftu28Uh9Z/19+FmCdB2gKG+gfxv/f3OS833Xic6iMvoJVZLEKsWmNjI9FolFDAd9cg7YC2l92aIXqS9RwtvJIN0JYTvDQ/PvQP//APeeuttwgEAnR0dPCFL3yB3/qt38r9lxD3ra6uLl577TVUKhWVlZXU19dn3wuFQkxMTKBSqbBYLFRUVPDpT38av99PT08PiqLg8/no6+vjxo0bTE1NEY1GaWtro6mpKXsfWNgyt1A6naa7u5szVyb4aZ8JMG3iN984hkI1e/e2seBXKbM870CCtAVMu49T1PYLRK7/LKflTnedpvrIC7clJxRC3Ft7ezsPPPAA3bE7d/Ec0PbyFfO3APgkZ+9Z5siFN/n8738LlVbPZz/7WRKJBD/4wQ/48pe/zFtvvcV3v/vdnNVf3L/cbjevvfYaly9fBsDg6aY5aMJkaeAWTqLRKAccSSo1IQL6KioPPY5araagoACTycS7776LwWCgoqKCoaEhJicnAZiYmMBsNt/WMgfQ0NCAWq3OLj7eP6VwqjsO3L680v0qOpfmJ5f8DA8H+PTDNt58800URcFut8uY7SUkSFtCa8t9dvI5+66clylEvnjnnXf4+dUJrLUn7rjPbs3Qqsr8s1MTqJIpLlzpoqSkBIA//uM/5sknn+R73/se3/zmN3nppZfWU22xAyzsfmwtCvOL+j5wA+73CVd8mgOOJI+YJj7ao59RZRKoY3h4mDfffJP+/n70ej1tbW0UFBSgKAqTk5MYjUbOnTuHWq1e1DLn8/lQFIXDhw9z8sIIPzofZ8hXyE4K0Ba6MRanNPk+ZrM5u85pKBTCarVKkPaRe+WCzDuG+gdzWt7rY0aiDllAUIi1yGRan47efTTanHLv5803bvj59z+az1/1zs0gv33ECpc/Topos9n4kz/5EwD+5m/+Zn0VFzuCw+GgqqoKq9VKjTa06D1LbIyqeP+ibfXJQUpHfor74k+4cuUKbrebiYkJurq6mJiYIBQKodVq8Xg8jI2NMTY2BoDf76erq4vLly8TCAT45o/O85c/mfgoQNu5opEQFy9eZHp6Gr/fT39/P5OTkwwPDy9KQZLPpCVtCdPu46DWQDq5rnKSKYWfjul5x1+CbWQkR7UTIr8MDAwAMOe5ib722LL7HND28oLxzG3bk2mFvqkok8EEJ/sC/PCql0+3F6NSqfjaJ6t5pMF822oghw4dAuaDQyGcTicdHR309vbi9kwDHwdqhfoiKlkcSCQH30cDfLEatA+aUKV1XJmYQ6UO8niFlq7pNGcmIiQSCcbHxxkcHOTo0aMoikIkEsmu8zmyfEanHUetmQ9CGxoasFqthEKhbNJfyYAwT4K0ZRTteXLd49I0BSqeq43jK0hitVpzVDMh8ktjYyOKopBKp+64z526Ot3BBJ/5Rh8ARYVqkgvGZD+z25b9OXjp1WyQFo/HARblqBL5Ta1WU1lZyaRazU9iZirUPiKmOsqmJym5y+d+ta0QKOQL+4o+2pLkk7UQjaq54imisrKSxsZGgsEgdrudlpYW+vv7CQaD1BZb6Rza+O+21YqSk+zdu5dwOExNTQ0qlWrFCX/zhQRpy6j8wp9y8z8dQ4mF7r3zPTzWXMwDR47koFZC5J/S0lJqamoYSe0icYd9epL1y04WcBRp+K9faKTcoiWVVrIB21LJ0HT255MnTwLw1FNPrbvu4v7mdrvp7e3F6/VSEhumLNHDpYkoP5lW01HaS1lFEvSrL/eTu3SMYkOv1xMKhbh69SojIyOUlJSQNjcxkqqm3OgAxnP+nbYTe2GYTz7mJBQyZlOWKIqC1WqltbVVWtE+IkHaHRibjuRklufeJz8rJ5sQa+TxeNi9ezdD8QhDseX3uZxoJZrWYlAvDuP0WjXHd80PRr7hjt7xGHNhHwBer5c/+qM/ori4mK997Ws5qb+4P7ndbt588036+vqoxs1TfABaONAA1QYzz5Sv/QH+4XK4kTRweSbG1atXGRoaQlEULDUd0HgEiEPvzg7QAHxzJgLGGh7frxAIBACw2+2UlJTIPXMBmThwB7mY5Zlq+wzaBmlFE2KtHA4HMwkbQ7GqO+5zQNt7W4C2Gop/DN+1k3z2s59lbGyMf/zHf6SpqWnN5Yn7n8fjyS6W7sSz6L09ljs8LazC8coUxcXFjI+PMzs7SyAQYFZ9t87TnenHF30EKVu0Tbo5F5Mg7Q5UmrVPeY4ohVy0Ps0HiUZefvllGYQsxDq4I3e/Fo8VXlpX+cm0wj/5zX/BtWvXOHnyJI8++ui6yhP3H7fbTXd3d3ZGocPhyKaEcLM4aFBMq2/lmUiaF72uU09Rq57GbJ7fHovFiEzeWLRPscqNba4PTXD5bvqdYnAmxaFDh2hqapL8aMuQ7s5lrHYNz6X+i/sorr4oe6suYTKZOH36NKWlpXLyCbEKmXUMi5QQd8u0blWH13yMRErhX/9wiB53lFPf+Tv2PfLImssS96eF62VevHiRuro6iouLqaurw2KxYLfbKfTtIjl8gSlNBUVKEiZHV3UMI1FcCQdN2o9b5T7VauBIvZkLoxZ+0DlMJNAPE+9BxfxDgldxYtCZMRRpCK29oXjbO9gsLWd3I0HaMla7hudCr84e43LhU1AK/VNvc9AEZrNZphMLsUqZRKIOjQ9VfA5Ft/x6hYH02pbKSaYVfu8HQwx743zzi804pj8AfnWt1RX3qcx55vf76evrY2xsjEgkQnNzM3a7ncZCH9EL3waghH5S5spVH8OqSVKYWpxXwxEZwAG0lMNUvYH3bxUwG09gXLBPVDFyxxkz24THdRb/yCWanvxXa/q83+fnjQ87CYVCmM1mTpw4IffKBaS7cxlrSWg7kKjkz0O/xg9in8hui6odlJWVYbfbs2uwSYI+IVbG4XDQP6Xw04GyOwZoAAkKVl12Kq3w1VeGmQjM8fe/vosys5bIyNX1VFfcpzJjoDJj0DK5ykKh+ckBYVfnov0LQmsb1G8oUO743t5iSCQSEL61prI3k5JOEZkZwDvUievtv6T/Z/8ZRblzipx7+dm5Xs6ePYvL5aK/v5/e3t4c1vb+Jy1pyzDtPk7FS39BdOgicVsT7vf+AYu/566fuZbYxeVE66JtpVVNuGJFFKvKGBwcBJB1yYRYAbfbzckLI7x8Ce61JE69ZuKu7y/nD14b4a2eAL/5SBk/vJpp4ZjC4vuX6MrmJw189atfXXW54v7jdDo5dOgQVqsVs9mMSqWir68vO15MlwyzvtTm9zaXBo1GA8GbqIN9pC0tG3zEtZuLeLj63a8AUKA1oNwlh+FKRKd7cU9MMDMzg8lkoqmpieLiYgYGBmhsbKS9vT0X1b5vSZB2B6bdx7MJLgGiP/7aXfcvVN1+GY+EihgJQeeQm2dbwhxsnL/opetTiDvLjBH60fk4cPdlcQ5oeykvWH169gsjERJphb9+d0nL9lv/b/ZHCdLyh9PpxOl00traisfjoaamhmAwSFOhj9TwBxtyzCQaNB+Ff8/Vxrk+CTfjVgrC/cxZ6knd49zfKhqDld2f+iMKTQ5Ip7n6va+sqZyU5waV+hlKrFr6AoHsmqY/+tGPeP/99ykrK+ODD+Z/9/kcqEmQtgLVR17gRiiE5/zLOOPDy+7Tk6y/axndI2GKC7yoVCoaGho2oJZC7Awej4f+KWVF6xaudmH1jFO/c+f1dCte+otFD2gif2Qenl0uF2Z/L9r+b3HnTsr10Sxpn3t2VyH/z0gTc5Wf2qAj5kaBRoe9bn5IUGRmcM3lJGdn0KaHgV1YrVa8Xi8WiwWv14taraasbD41x8DAgARp4t6K9/8CFyYV3v75yxTM9HF+KETJwc/zgD1GT7L+tq7OpcLY6RoZ5pH2+a5Pme0pxPIcDgcj3psr2vdOqw1k/ODKfCvbRHAOgGFfPLvtoZoiaotv70pduEyUyD+ZiQSG8fObelynPkF7uZnLm3rUraOx1HBgr53KykpGRkbQaDSoVCoURUFRFKanpzEajTQ2Nm51VbeUBGkr5HQ6qaurIxh8hr6+eoY94wyHqrih37Wiz3tjOry0UOkLY7dLl6cQd+J0Onn6cAudQ/fOD3U50cq5eBtHdNeXff9/e21k0euLtyJcvBUB4P96vnbZIC0ZmllDrcVO4XA4cF/4MY6Ia1OPW25U+IrxNH8eqrrnQ/9OUGCt5/REiIOqGEVFRej1eux2O/X19USjUfR6PQ0NDZSWlm51VbeUBGmr0NraSiAQIK6vwbjGkaRn+tLMRtx4vV4uXLhAR0dHXjflCrGch1vttDkCXJ+xgEp11319aesd3+v7DwdWfew5z/JDGkR+cDqdzCYHN3yywJ3s1gzlRZAGEEqbOTNqxjA1nwJFpVIRCoVobm7GbDZjtVrzvkFDgrRVyMwCuviPvYB/TWXMYuHMmIXuG+9gmBvjww8/5Etf+pIEaiJvud1uPB4PDoeD6elpBgYGePfaJNc95XD3+AyAOSW3f8aUuTuv8yl2poXnoNPpRKfXrztIc4cSfP2dCc4OhgjFU7SVG/nFNhtf6Lj78k+5Pp/vB3M6J2azmcLCQkwmU3YtT0VRqK2tBcj+2+Sb/Dsb1snpdPL0EYU3L3fee+e7iOiaMMyNEY1G835gpMhfmZmcfr+fnp4eZmZmKCsr47xLA/aVrZ+73Mzq9dBVteW0PLG9LVxxIJMiydLxApEbb6+5TE8kwRf+br67/sQeG8m0wps9Af7oJ6O8Pxjm679Sf8fP5vp8vh8Y016Ky8vRarV4vV50Oh0jIyOUlJRw8uTJbGLhfExfJcls1+CxfeWYNPF1lZFKpYjFYszOzpJMJiXRrchLHo8nm+m9v7+f4eFhhoaG8I+uPLHsvWZWr4YC1P7mf89ZeWL7y0wUWPjatPs4qdrDJNfYjvFnpyZQq1R8/0ut/MEvVPGHJ6r58Zdb2eM08PoNP/947c5pY/KtJU2VDNOw7xgdT36O6upqmpubUavV1NXVoVbPhyiZxMJL/63ygQRpa/DutUnCybUvwA6gnvOQTqex2Wy8+eabnDp1is7OTgnURF5xOByMjo4yPT1NOp0mFArR1dVFOLzy9TgvJ1r589Cv8Xr0Ec7F19cKpgJufOt/X1cZ4v7icDjw+XyMjIzg8/lIp9P0/MP/QcHI+dvSZKyEoii8czPI7xwrp9j4ccBl0Wv4/acqAPiHS3cONl4wnuGANn+y7isaE1cn9bzRb0axNGE0GqmurkalUlFePt+abjab8fl8zMzM5N09Mr9C9hz5sH/90XzM9iDhlIHAYD929Uy2ifett97iqaee4siRI3nXrCvyk9lsZnZ2llAohFarRaPRYKvYv6oyLidauZxo5XdM3153fYI9P8ftdsv1l0dUH01OCQaDXLp0iQNjnRjWUdbXPlnNIw3m297bXzW/Mmf/dOyuZeTT5IGF3BEdlSoVpaWlHD16lLKyMtLpNF6vl+HhYQKBAJ2dnXnV7SlB2hocbHbw7ZPrn56tcewl6diL68O/JTZ1iUQigU6no6enh1u3bvHiiy/idDpvG9QqxE7h8Xioq6tjYmKCqakpysrKiMfjhNQB7n4bW54qB5lHR5J2pvLsRpDPPB4PNpsNm83GyMgIoVCIhM6OYXZta3QCPLPbtuz2ueT8CarT3r0TK5dd+BthqucUAHPhaQBigcnsNkvFHvTWijWVq9OoaaptYt++fRw7diy7vbu7OzuZAPIrhZUEaWvQXKZiX1EvVwL1qDXr6/YE0NU+QUJXTto/CJFBZmdncblcnD9/nsbGRln3U+xYDocDl8uFyWTCarVSWVkJQDqdxjXzNn79XtL6lZ/vZ+Y6eFB393V27yVVPJ88M59uBPkscw4CWCwWqqffxeJbPu/eer0/NN+Nf6TOdMd9PCnTtm9Fc536+qLXoYluQhPdADQ99XtrDtJGI2Ye0JfR2rr4+y/8N8q8zhcSpK2Bx+PhsX3l3HzjOlFrx7rL0zka0TnmbwyTZ/8Sn2+cmzdv0tjYyK1bt7BYLCiKQigUwmq1yo1D7BjLLW5tsVgwm81YLl6ke8zFBCs/3zPj017Qv0Ojdm0tIdXRfnwcy6sbQT7LnIMejwdLsJ9o3/pm7t+JP5rk66cnsBkK+N1jd5657CgIc0Dbu60DtaP/8tUNKTeqGHj5Ehw6pOB0Lk6Nkvk3yrceJQnS1sDhcGCz2Xi4rYYzo7kt2954DPXIq8zNzfHBBx/Q2tpKMBhkdnYWmH/Sk/EyYidZurh1JjgKBoNMTv4cV9f/RCneR1HlwRWVl7m5fUX7rTXVR0GhoaFBrrE8kjkHx7/1jQ0pP5FS+N2Xh3CHEvzdS03LrnSx0PP6M9s6SNto33+7n+Yy1W2pUfbuvfOauzuVBGlrkHnyer23C4jktGy13koymWR6ehqVSoXRaOTIkSNEIhEsFgs2m026YcSOlLlRZpw4cYJAIMD1699m8Nx7pE2NVB3+dfTWynuWlWlR260ZYk7RsFfrolk7tqJ6TBhb8cv6ujvacuN8wz2n15Ub7U6SaYV/8+owvdNR/sdLu+ioKbrnZxxqf87rsS2l4lBwe8B6vtfHyQsjLJx6ka/3PUnBsUZOpxNdoTbn5WptdQQoxe/3YzabaW9vp7GxkdraWmw2G5Bf/fEiP2Vuopku0HQ6TeDWRSIzAysu43KilX+InuAHsU/wH0O/xauzx+75mfcjlcRK5xNL52NOpnyQSV7rcrkWpT2KDl3M+bESKYWv/GCI7olZvvfPWlYUoAF47rLU2Y6yTICW8YNzi3PJ5et9T1rS1uHhJgPne/05L1fnaGbW20tlZSUWiwWAhoYG1Gp13vXHi/yzMAP85OQkxcXFWCwWZmdn0ZtXtgrBclaSyb28pJi43Q7k701hp1safHuv/ozU9CWSoZmcHieZVvi9Hwwx7I3zzS82U2Ze+UP9a7HjOa3LdpZKxCjQ6m/bPu6NczNcyYkHjHl935OWtHX4xEO1OE2JnJcbmbxBYWEhHo+HYDBIIBBgcHAwr09UkT8W3kQrKyvZv38/e/bsobS0lND4ylciWGppWoPxZPFt+1Q/+As0NTXJLOodbGHwbfL1oDnzZ0RuvE189FrOjpFKK3z1lWEmAnP8/a/vWlWANrnMebmTZQI0VfL2oUPv9/jZu3dvXl+L0pK2Tp+omeBbXVVQUJCT8ryu9/CPXMBoNBKNRnG73VitVhmLJvLGwun2drudX/3VX6W1tZWGhgbee+89pq6qsdQdXvU0/4Xj1HqS9VxOtHJA28vjukuo5wJEi5s4VPNQXg5OzicLZ3MW3bjC3AYc4w9eG+GtngC/+UgZP7y6/BJQXzpStuz2co2Xr5i/xauzx/hB7BMbULvtSdHc3hWcmovk/UQ5CdLWobe3F5fLhZIuQVVgzEmZxU2P4h98j8TMDSYmJjAajSiKQktLi3S/iLyw8CaaaT0uLS0lFAqhVqt57733GD31U4p2PUvpvs+squzMygRLX7dorvJUXa1cY3kiM0klrJ5m4vL3c17+hZEIibTCX7975yWM7hSkZbxgPMNAqjqvZ3mGJ67xve/d4oknnsjb4T4SpK1TNBpFnfCjaHMTpAHYm44zMPQBfX19TExMEI1Gs2uYCZEPls70dDqdHD8+P05Hr9dz5swZ3ONnGJ5xUfXIl9Ho7pwc9F5s2gi/8cvHaG1tzbsbQD5zu9140qVYPvU11AOniY5eI52jcWmnfic3rbH5ujxURjKt4vTp09y8eZOOjg7sdnveDUWQIG0dWltbaWtrY/RcL17jvdMCrFSBwUoikcDn8zE3N8elS5cIhUKYTCb+6T/9pzk7jhD3k/b2dkpLSzl//jxVVVVcvXqV06dPM3b2b6h78qtrLre+qnTREjRi51s4OQXUHGw8TnoD0m+s13ZfHmqjxXQ1jIT8qMaHMZvNNDc3592wH5k4sA5Op5PPfe5zfO7EQdQJf87KtZTvxlb7EOl0mtnZWdxuNzdv3uTUqVN0dXXl7DhC3G+cTieHDx/GarVSWlpKSUkJBG7iHTy/5jJ3Fc9m0zCI/LB0hmfYtTGrDKyVL2Xiz0O/lletaGrV7duUQhsFlY/j0bURiUQIhUJ5NyRBgrR1cjqddHR0UORf+01iIY/rLK63/5LKBz8LQCqVIhaLEQgEiEajDAysPE+UEDvR9PQ0o6OjRCIRiouL0Wg0ePtX3woS9bhoM/TQXKaSnGh5ZumN3tR0aItqsjx7QXirq7Dp0vNrz9NWb7vtvZSlFaPRyPHjx/OqFQ0kSMuJmzdvMjfdTczjuvfOSyjpFJGZAbxDnbje/kv6f/afUZQUOnNpdp90Ok04HObKlSskk/fO9STETuV2uzl9+jSzs7OoVCrm5uYoLCwk7esjMLy61hCDo4mCAjV+vz/vns7zXWZySibdSvWRF9Ds2l5d3rs1Q1tdhS3hCczets2ohaeffhq1Wp13rd4yJi0HgsEgKVMj6sKVZZNeaC7i4ep3vwJAgdaAkk4BoCtyUPPwr3Hrg/n1B5PJJIlEgvHxtS0aLcROkFmFYHJyEgCdTofdbmdubo7Y+AdY61bXIhKmmLq6urx7Ohe3T06JPvxl3N44Fu81LNweKGy2K7d8ULJ4mzo9S1qdu0lq21EgNMvS0KTKkmBkZIRQKJRdxzNfrlkJ0nIgoqkgWfsChWv4rMZgZfen/ohCkwPSaa5+7yvZ96of/jzhqX58wx+gUqmIxWKMjc2vP7jc2nNC7HQOhwO73U5zczN9fX0888wzAJw7d46uri5GT/8FRXVHsdcfXll5ugitrfkz7kfcmcPh4O3CfUxSyuNcpIGJLavLj0d0XB3oR+37LrbGxykoKEDtvw6A1/bkltVrM0STt4cl7kCKsbEJ7B+tBpJPkwckSMuBoZn0mj9boNFhr3sQgMjM4G3vVz/8eQB8wx8QCoU4e/YsX//61ykuLsZms+XdU4XIbwtzqHV0dDA4OH/NWK1WFEXh3XffJRHedc9yov5x3Je+xbEXHpFrRwAfp3k5ffo0ulgl+LcmSBtVV/LtnhkikQgFsSsUhAfQ6XSMjY1RWFiIrmwcrb2ReDTCXFJBa6vDWNqyJXXdLKGknt7JFFVVPux2e14NT5AgbZ3cbjdj00HgzgvFroeprJndn/oP9PzkPxEe+5Du7m6SySSHDh2io6NDViIQeWdhN1VpaSkej4eZmRmOHj3KzMwMw/7FQwLmIh4Kixb/UR8++9+Zm77OzZt3Tygq8kt7ezu2sAtvZ24mgq1FuPxhWlpcjI6OotVqmZ2dZW5uDp1u/h7T0WQhFhvlw94PCYdCJBIJrLufw77nuS2r80aLY6QvuZ99c3AizxolJEhbJ4/HQyiemyWh7sZSuRffUCehUAiPx8Po6Ci7ds23GMzMzOT90hkiP2UCNrfbTSAQ4Pnnn8flchEuuIEnXkTh3CRXzn+fMaUUa8NjKChM3ziJf+QCBoOBUChEV1cX7e3tW/1VxDYQ7jlN9Mdfw7BFxw9YWznVF0ClUqHT6TCZTMzMzBAIBFAUBZvNRiwWA0Cr1ZJIJIhGo8SvfB9mJ1Cb69CXtaGzVW3RN1ibdDqFWn37fdRQqCI6p2RfJ3XleXefkyBtnRwOBwZ1nI3+VToaH2X47N+RSqUIh8NEo1GKiooIBAJcu3aN4eFhnnnmmbw7gYWAxbP1XnzxRTweDy6XC5/PQmR8FxcvXmTk9AWSySQqlQq9Xk9NTQ179+5lYGBAgjQBQPDSK1t6fH/JQRibnxSjKAp2u53HH3+cq1evotPpqK2tRaVSkU6nKSsrIx6Pk0gkUBQF//AF1PYgdS3PbOl3WAuVsvz2p/bZ+PFFX/b1owdqN6lG24cEaevkdDppbaxk5EpgQ4+js5RR8/CvMX7pOwSDQebm5njvvfeIx+OUlJRQVFQks9REXls6W8/lcmG329m3bx9zc3MMDAwQiUTQarXZ5WVMJhONjY1bWGuxvSzOqBpPqdEVrH3M8WqZzWZgkng8jl6vJx6P88ADD6BWz2fLMplMOJ1OJiYmCAaDhMPz+dR0Oh2BQABd5f35sKEquL0VbbcT9pf6MXRAorCcRw/U8ti+/FseUYK0HPiFo6387MrGZ6yufvjzqNRqtDoD40oBk6M6tPEg1QEXTU1NG358Ie4XCycYNDQ0YDabKS8vZ3Z2lpaWFpqbmykuLqaxsVFa0cTH1ItviQXaQkjHNu3w5XhxOp1Eo1GMRiONjY3U1tbyxBNP4PV6gfnlCKenp3nttdewWq243W7Ky8vxer24o1F2TCbNRJDz53soLy/n2aO72Ls3/wI0kCAtJx7bV05lsY5xb3zDj1X14Iu3bfME+3EWpLKpBCQ9hxC3t6xZLBYsFgs2m01mRItlJX1jizdoCmFu84K0Iqud556bn2F6t3PV6XRSWlpKb28vV69eRaVSYbFYKCoq4hsnp/Bz/0+IGb7+czypSfr7+2lvb2fv3twsWn+/kSAtR3bV2Bn3Tm7JsdOWZrpm4U/+51kOOEMEg0Hq6uokPYcQH8kszi4PL+JujM2PEB/vzr72Ow5gmziLZpPap5Rk/LZzFaC7u3vReZt5EG9tbaW1tZXe3l68Xi/d3d3YUjH8BR8HabrkDIaEG7+hbVO+w3qEb76BptBAOjiMWR8klEhQWFjIyMjIVldty0iQliPPHa3lzJWtCdIyzg0VcPFiHwb/BY4dO8a+ffskPYcQH1nasibEUiVP/zYAnmsnGVdK6VZaaC8coXJuaFOOH7fND1tZOGu5s3N+KE3moRtYtK2hoYFAIEBPTw9nzpxBp9NhKHBTYK3HjJ/IxBXC2iqo3f5Bmq78IP6u72MvtuM1HCA+e5P4+DjBYDBvMxhIkJYjj+0rp9ikwRte/RPXVM8pAObC0wDEApPZbZaKPeitFSsuK+E4RHiqnytXrlBdXZ1XSf+EEGK9Sp7+bSbLj3PqO98BJimejVG5wSsxpVAz0fwFnJbmRds9Hs9dXwMMDAygUqlQFAWdTkc8HsekmyQ2PkRCpyMWixEzlN4XN3utqYzSI//i49dVj1Iw8iqQX6sMLHQ//LvdNypKTHjD/lV/znXq64tehya6CU3MN7k3PfV7qwrSACjeT3n5FPX19Xl5UgshxHqo1WpaWloIBoOoY/vAv7G9JENF+0nYd7N3yUO1w+HA5XIteg0s2tbY2Mjg4CDV1dU0NjZiNBpRlPmcFv39/Xg8HpS5HiyVj2zod9goKnMt165d44knntjqqmwJCdJyyGHRr+lzR//lqzmth06no6WlRdYkFEKINXA4HCiKQjAYJIiduv1fwua5TMHYxZyUr3buZkpdRlHgJh5dNcaHXqK1tXXZCQKZWcoLx6Qt3ZYZw1ZTU0MwGCSdTlPwUVqL4eFhSI6D62XS9nbUhWYw3T/JbgNjXURqdLz22msAeTcbW4K0HHrukVrOXN3acWkAmkA3yeQDW10NIYS4b42OjnL58mXsdjt9VY9y4pf+E0W+Hm5deIPh0QnqI1cpYG051JxP/3NM9t14PB72LpnIsnR2/nJjKZduy/zscrlQqVSEQiEURcFsNlNRUUE8Hmd8/DLK2IdoNBqoeBxDw9NrqvumCo+R8vZwxTu/sg7MLwWXTz1EEqTl0GP7ynmoqYgLrsiW1SEdD2BIjHHjRiFvvvmmrEIghBCr1Nvby8jICCqVCr/fz9jY2Px4MMduTgW60ERmaFpjgKarPUB06CIJvx+WjEFbbqLASv9+LxyvZrPZsFqt1NfXoygKPT09xGKx7Pqf05PvkpibIVpQQniim9noLNWHfh39NlxOKtMyCGSXRcyne5oEaTn2719q55f+eOsW51UXaEkW1WM0GgkGg3l3QgshRC4YjUZ8vo+XJHI4HHg8HtLpNIbAIFjvXUYiDfEUmLQfb4uPXCY+chkAd/Ov4bLvzgZjy00UWOnfb4fDwYULFwiFQpjN5uxM0KGhIVQqFQaDAUVRUKvVtLa2zgdu49eITk0RDAQIVbVvvyDNVEVBcSup6W4sFgtmsznvJsNJkJZjWx4QaYxEKz7FrLYPi8WSdye0EEKsV2trKwcOHKCsrAxFUXj++edxOp1MT08zNTWFP17EUWay+6dqD+OoaSFuayIUCoG7m5tBLaf6gxTPDvKFsuFlj2MIDRH+qNvT6XTecaLASqlUqkX/93g82O127HY7JpOJcDhMRUUFarWa8vJyXnnlFVKpFBqNhtmpXmh7brW/qg1XvO9FYhMfYq6tp3bfceD2vHE7mQRpG6DEqmMmsPGrD9xN0rqXZ555MC9OYiGEyCWn08mJEyduG7CfmfU5ajTyE6+FvcWgqdrH3hNfJA182NkJWMF6lIYDDRyvvEkweJCEE0qVGVQaHb7T38geJ2quBz4Oxu40UWAlPB4PNpsNm82WfT01NcX58+cxGAzEYjGcTiculwuDwUBvby8FBQUUFhai1+tJ+/uJjH1IUdXBXPwKc6bQ7KTQ/CxB4K9ed+N2u2kuU+VNsnYJ0jbAbz1bx//5nb4trUOJo2THn7xCCLFRlhuw73A4soGQ31+Nrq4uOyuzu7t70b5er5eCggLsdjuuOXAcOoHT6URf3U506CJxWxNOS/NtEwfWmnR5aSvc1NQUr776Kl6vF5/Px5EjR1CpVITDYaanp1EUBYPBQEtLS7aFcPbWuWWDtKh/FIOtetV12gg/vx7AO9iL0+mkqalpx9/nJEjbAI0laZymBO6w9t47b5DnHqndsmMLIcROdLeWrqVjwqzWxYPWMl2apt3HMe0+vuF1e+ONNxgfHwfmuz+npqaorq7OLt5uNBrR6/UMDQ3N54NTq/GPXCCt/BVFzj0UGOwYKuYDtu0SoAG441ZS07MY+t9l3759O35NTwnSNoDD4WC33Y87XLppx0zFwyhxD85iE1/+laM8tq98044thBD54m4tXQvHhBUXFxMIBLLvbcb44IV1s1gs2e16vZ6DBw/y0EMPUVtby/Xr17FYLNy6dYuhoSFKSkqYnp4mGo0y4zrHVP9ZKh56KRukbTumWqoM8zM/dzoJ0jaA0+mksHgX3Arce+dcCd+iRXONBksDFpqA3Zt3bCGEyHNLx4Sp1eo1jy/LhaNHjzI6Osrk5CTl5eU8++yzOJ1O9u7dy549e+jt7WV0dJSGhoZs69rExAThcJhIJEJoopuSvb+4qXVeKZPiRVEUGhsbb8srt9NIkLZBfuFoKz+70rlpxytw7MFkKgA2MTAUQggBLL+E01rHl+WC0+nkxRdfXDaAyaT7qKqqYnp6mvLyclQqFY8//jivv/46g4ODxNzXcL//V5S3PYOyJJ/bVirReHEWhmhqml+Mfq155e4X6q2uwE712L5y/vSfH8Jm3LxfcaKwXJaDEkKILZAZE9bU1LRtgoVMy9lydXE4HNmF2Y1GI4WFhYyOjqLT6bBYLBQVFWFRpij2v4Pi792C2i+vUj+DyWTCarUyMDCw6L3lFqC/30mQtoEe21fOf/83DwOpTTneJ460ygoDQgixRe4WFG03TqeTuro6du3aRVVVFcFgkMuXLxMKhSgtLaWpqQmtVsutW7fw9r2z6LOJWd/yhW4wkzZBaeF8b1EwGMRisXD9+nW6urrw+/07Mi+odHduMI/HQ0flHJfGDRt2DJtB4d/9k8MyWUAIIcSKtba2Mjw8jMvlYmJigpmZGdRqNXNzc2g0GpLJJGNjY8AYaSVNaX0H8VgETcm+Lalvhd6H0Wic/7mignPnzjEwMIBarcZkMm1JnTaaBGkbzOFwcGK/kUvjKTaq4fLTD5okQBNCCLEqmda0YDDI1NQUsVgMjUZDYWEhpaWl9PX1oSjK/M6BmyjhEnRNL25JXc2pMVotPiwWK4qi0Nvby/DwMIFAgMrKStRq9Y5cBlGCtA2WGadQevYi08FkzsuvVA+yd5tliBZCCHF/aG1tJRAIkE6nmZ6eRqfTYbVaqampQa/Xc+nSJRRFQVEU5grL0W1RPeMqC66omTanBV3sFgCKohAIBNDpdBw8eFC6O8XaOJ1OnthfxvfeHV9XOclZH/ZIJw888ADjQQ0OXYQHd9llooAQQog1yTQkWK1WQqEQs7OzGI1GKisrsVgs2O12enp6SKVSRJNzW1bPObWZG1644YVj1XqqzfMTHpxOJ1VVVXR0dOy4VjSQIG1TuN1udpkmqDD4mYja7rn/5OXvo4pOYq57FGPlgex2/fRpnn+2gxdffAFgR+eGEUIIsTkyKTn27duH3++nr6+PyclJFEWhvr4ek8nEzMwMPXPbY1jNLR9UmeaXtdq9ezdVVVWo1TtzHqQEaZsgMy34IccYb3W+x1RUz8zgJQwljViqDxCZ7CIVvIWhtJWkbwBrcpz9+/eTSvWRTM4R1zopM8aof7SZ/fv3Z4MyCc6EEELkQibPWzAYJBKJEA6HMZlMGI1GSktLcUfNaC1tW11NAJTgMJOTKVwuF5WVlczOztLR0bHV1doQEqRtgszJX1VVRZX5BilfL8HYCIGebmKDP0Or1VJVVYVZ1UftgVoaGh7FarVisVg4ePAgg4OD2bKka1MIIUSuLez2DAaDzM7OAlBVVQXAjWAKQltXP606hTU5jDY2gdM2h6IY0Ov1KIpCS0uLtKSJtVu48G1tbS3vv/8+ly5dYnx8HJPJxO7du1GpVIv61tVqdbYrs7S0VLo2hRBCbKjMCgnFxcWcPn0as9mM3W6noaGBn7s+3NIgbV9FgipVlHBYQ1GRlZmZGWKxWDYh706cNAASpG2azMmfWTetsrKSDz/8kKamJtRqdfZigPk13/bu3XvbZ4UQQoiN1t7evqhxAMBYZIGZralPg1PH4ZoAwaAFs9mcTbjb2NiISqWivr5+x94jJUjbIsXFxTz44IMEg0Ha2toIhT5+RNmpTwRCCCHuD5nGAbfbTWdnJ6lkHNBvSV0e26XmZz/9GdFolLm5OQ4fPkw0GqW6uhqbzbajhwFJkLYFMhMJbDYbNpuNsrIy9uzZI12aQgghthWPx4Pf72fGEwU2f3ZnhUWht/PHuN1ufD4fWq2WcDjM7t27sVqt2XVS3W73jryH7syRdtvc0payzEl1v6z5JoQQIj84HA6CwSA2TXBLjl+tHWFsbIzx8XGi0SjRaJTR0VEADh8+vKi1z+Vy0dnZidvt3pK6bgQJ0rZAZiJBU1NT9ilACCGE2G6cTifHjx+n3p6kRXOVEq2XKlMEy8YtR51lNygUJScIBoOoVCri8TglJSXU1NQsGoeW6Z3KWPr6fibdnVtEJgMIIYS4H7S3t3Pz5k3C4Qs0G8a4FdQxFm3Z8OP6oiq6ww5UtmbsjkdI+gcoL1FQq9UUFxdn98ukuVr4eqeQIE0IIYQQy3K73fT29jI6OopKpeLWrVuM0QoFm3P8qYJmKGmef2E/iFpzlbIy66K8aAvTXO20MWkSpAkhhBBikUxwNjQ0RCgUYmBgAIPBQCqVIpQAiramXsG0jakpN+l0etH2ndo7JUGaEEIIIbIyA/FHRka4efMmiqIwODiI1WplamqKdP0TW1Y3s8q3o1cYWEqCNCGEEEJkZQbeK4rC+Pg4iqIAkE6nUSxNJAvMm1qfwoiLVMxHYdyNo6EIRanLjjvbqak3MiRIE0IIIURWZiC+SqWiqqoKg8HA9PQ0Pp+PsKr43gXkUAEJElOXiU5eI6XXEyppw2KxLEq9AeByuXZktgQJ0oQQQgiRtXCxdYvFgs1mo6urC4BoJIx3E+uSQgsNv4I2mSI2000wGCQUCmVb0BbyeDwSpAkhhBBiZ1u4LJTH48FsNjM1NUUiUbIl9SksbqQoOc4DDzyAzWbLdnHu1NQbGRKkCSGEEGJZC2dN2usfJtZXuCX1eHR/LdWWX6aurg74eKWenZp6I0OCNCGEEELc1cCMmp/2mTbteJb0JIWFhZjNZn71mTaeO/bpZScJ7NTUGxkSpAkhhBDirgZnUpt6vHpLkEfbndhshTSWzOdE2+kB2XLyI9GIEEIIIdbsYPPmjfcyaEFjreXipJX+KWVHjjVbKQnShBBCCHFXj+0r5999voUHKuK0lQQ29FjRBFwa09M5BC9fgh+e6sLtdm/oMbcr6e4UQgghxD09d2w3D7fa6e3t5bs/n+DSuGFTjvvOBRfGxBgnTpyQ7k4hhBBCiOU4nU5KSko4sd+44S1qGTbNfG60pXnR8oEEaUIIIYRYscwYscebFOr1Y7e9bzbkrpNOHx2ktDCA2WzOy7Fp0t0phBBCiBVbmJ+soyPN1eEob14J0jcWASAUTa6r/MJ0iLlYhJS/H1Oql6Zjv5yXXZ0gQZoQQgghVmlhOoz2dvDEr9M35rrHp1amTjuAe/A9dDodFZWVFBcXL1r9YKcmrl2OdHcKIYQQYl1ylaKjpaqIh5ptWK1W9Ho9RqORxsbG7GLqLpeLzs7OvJntKS1pQgghhFiXx/aV86f//BA/OjuCJxjj+pB/TeWUl5j53Aufo6amhmAwSEdHB+3t7XR3dy/abycupr4cCdKEEEIIkRNnrk5mf26pKkKr1a4qYHtstwWn08lnPvOZRdvzYTH15UiQJoQQQoh1+7B/cYoMmzZCRXk514dW9vndTvjx6auMjo3xS0+1L2opy4fF1JcjQZoQQggh1u1gs4Nvn/y4tau2GMqLVSv+fI8bQM+VyQizs+d56bnDtwVq+RKcZUiQJoQQQoh1yywd9db5PmqLoblMxaGHark6qizqBgVQAcpdyhrxkk1em2+tZwtJkCaEEEKInMgsHbUwsHrukduDtEobjPk/fv1gYxEXByLZ17XFkE6n6ezsBMDlcnHo0KG8C9QkSBNCCCFEzizslnS73RQXeDncaud8ry+7T6NTx+H6KC53guYKHSXaMcq0WsYDBdi0IZ45fBi1enGWsHyZ0bmQBGlCCCGEyLlMbjOAmiKF8wvecxbF0cXGOFprxm7XMzISorgADhyoBQyo1eq8ndG5kARpQgghhMi5hQuiN5ep+Fe/WE7feBSL2k9zmQq/30IwGMRut2M2m1GpPp5kkOkqzccZnQtJkCaEEEKInFvaEvaJh2r5BGRb12w2GwcPHsy2msHtkwTycUbnQhKkCSGEECLn7tQSdrfWsXwOyJYjQZoQQgghNsRyLWH53jq2GrLAuhBCCCHENqRSlLulk1tjoSpVUKfTmZuamnJethC54nK5iMfjIUVRLFtdF7lmxP1gO10zINeN2P7We81sVJA2CRiBWzkvXIjcqQFmFUUp3+qKyDUj7hPb5poBuW7EfWFd18yGBGlCCCGEEGJ9ZEyaEEIIIcQ2JEGaEEIIIcQ2JEGaEEIIIcQ2JEGaEEIIIcQ2JEGaEEIIIcQ2JEGaEEIIIcQ2JEGaEEIIIcQ2JEGaEEIIIcQ2JEGaEEIIIcQ2JEGaEEIIIcQ2JEGaEEIIIcQ2JEGaEEIIIcQ2JEGaEEIIIcQ2JEGaEEIIIcQ2JEGaEEIIIcQ2JEGaEEIIIcQ2JEGaEEIIIcQ2JEGaEEIIIcQ2JEGaEEIIIcQ2JEGaEEIIIcQ29P8DHBWfWah+l8AAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 750x225 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw_evaluate(current)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Clustering hierarchy level 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "current.isolate()\n",
    "current = c1_1_1_1_1 = current.children[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CNN clustering object (root - 1 - 1 - 1 - 1 - 1)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "current"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-15T10:22:21.659782Z",
     "start_time": "2020-05-15T10:22:06.533636Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Execution time for call of fit: 0 hours, 0 minutes, 0.1533 seconds\n",
      "--------------------------------------------------------------------------------\n",
      "#points   R         C         min       max       #clusters %largest  %noise    \n",
      "10506     0.220     15        10        None      2         0.650     0.309     \n",
      "--------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "# Recluster first cluster from last step\n",
    "current.data.points.cKDTree()  # We pre-compute neighbourhoods here\n",
    "r = 0.22\n",
    "current.calc_neighbours_from_cKDTree(r=r)\n",
    "current.fit(r, 15, member_cutoff=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-15T10:19:25.993477Z",
     "start_time": "2020-05-15T10:19:25.652620Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 750x225 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw_evaluate(current)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Merge hierarchy levels"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We want to leave it with that for the moment. We can visualise our cluster hierarchy to get an overview."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 750x450 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = langerin_reduced.pie()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And we can finally put everything together and incorporate the child clusters into the root data set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "langerin_reduced.reel(deep=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After this call, cluster labeling may not be contiguous and sorted by size, which we can fix easily."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "langerin_reduced.labels.sort_by_size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 750x225 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw_evaluate(langerin_reduced)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Label    Size\n",
      "=============\n",
      "(0, 6326)\n",
      "(1, 6831)\n",
      "(2, 4335)\n",
      "(3, 2834)\n",
      "(4, 2619)\n",
      "(5, 2104)\n",
      "(6, 451)\n",
      "(7, 425)\n",
      "(8, 231)\n",
      "(9, 217)\n",
      "(10, 55)\n",
      "(11, 52)\n",
      "(12, 48)\n"
     ]
    }
   ],
   "source": [
    "print(\"Label    Size\")\n",
    "print(\"=============\")\n",
    "print(*sorted({k: len(v) for k, v in langerin_reduced.labels.clusterdict.items()}.items()), sep=\"\\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For later re-use, we save the clustering result in form of the cluster label assignments."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.save(\"md_example/cluster_labels.npy\", np.asarray(langerin_reduced.labels))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### MSM estimation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Assuming our data was sampled in a time-correlated manner as it is the case for MD simulation data, we can use this clustering result as a basis for the estimation of a core-set Markov-state model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "M = cmsm.CMSM(langerin_reduced.get_dtraj(), unit=\"ns\", step=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "*********************************************************\n",
      "---------------------------------------------------------\n",
      "Computing coreset MSM at lagtime 1 ns\n",
      "---------------------------------------------------------\n",
      "\n",
      "Using 116 trajectories with 26380 steps over 12 coresets\n",
      "\n",
      "All sets are connected\n",
      "---------------------------------------------------------\n",
      "*********************************************************\n",
      "\n",
      "\n",
      "*********************************************************\n",
      "---------------------------------------------------------\n",
      "Computing coreset MSM at lagtime 2 ns\n",
      "---------------------------------------------------------\n",
      "\n",
      "Using 116 trajectories with 26380 steps over 12 coresets\n",
      "\n",
      "All sets are connected\n",
      "---------------------------------------------------------\n",
      "*********************************************************\n",
      "\n",
      "\n",
      "*********************************************************\n",
      "---------------------------------------------------------\n",
      "Computing coreset MSM at lagtime 4 ns\n",
      "---------------------------------------------------------\n",
      "\n",
      "Using 116 trajectories with 26380 steps over 12 coresets\n",
      "\n",
      "All sets are connected\n",
      "---------------------------------------------------------\n",
      "*********************************************************\n",
      "\n",
      "\n",
      "*********************************************************\n",
      "---------------------------------------------------------\n",
      "Computing coreset MSM at lagtime 8 ns\n",
      "---------------------------------------------------------\n",
      "\n",
      "Using 116 trajectories with 26380 steps over 12 coresets\n",
      "\n",
      "All sets are connected\n",
      "---------------------------------------------------------\n",
      "*********************************************************\n",
      "\n",
      "\n",
      "*********************************************************\n",
      "---------------------------------------------------------\n",
      "Computing coreset MSM at lagtime 15 ns\n",
      "---------------------------------------------------------\n",
      "\n",
      "Trajectories [0, 1]\n",
      "are shorter then step threshold (lag*minlenfactor = 75)\n",
      "and will not be used to compute the MSM.\n",
      "\n",
      "Using 114 trajectories with 26284 steps over 12 coresets\n",
      "\n",
      "All sets are connected\n",
      "---------------------------------------------------------\n",
      "*********************************************************\n",
      "\n",
      "\n",
      "*********************************************************\n",
      "---------------------------------------------------------\n",
      "Computing coreset MSM at lagtime 30 ns\n",
      "---------------------------------------------------------\n",
      "\n",
      "Trajectories [0, 1, 4, 63]\n",
      "are shorter then step threshold (lag*minlenfactor = 150)\n",
      "and will not be used to compute the MSM.\n",
      "\n",
      "Using 112 trajectories with 25999 steps over 12 coresets\n",
      "\n",
      "All sets are connected\n",
      "---------------------------------------------------------\n",
      "*********************************************************\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Estimate csMSM for different lag times (given in steps)\n",
    "lags = [1, 2, 4, 8, 15, 30]\n",
    "for i in lags:\n",
    "    M.cmsm(lag=i, minlenfactor=5)\n",
    "    M.get_its()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 750x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the time scales\n",
    "fig, ax, *_ = M.plot_its()\n",
    "fig.tight_layout(pad=0.1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cluster alternatives"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 750x750 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pydpc_clustering = pydpc.Cluster(langerin_reduced.data.points)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "pydpc_clustering.autoplot = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "pydpc_clustering.assign(0, 1.8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  690,  5274,  5470, 11430, 14034, 16202, 17564], dtype=int32)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pydpc_clustering.clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "langerin_reduced.labels = (pydpc_clustering.membership + 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 750x225 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw_evaluate(langerin_reduced)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "langerin_reduced.labels[pydpc_clustering.halo_idx] = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 750x225 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw_evaluate(langerin_reduced)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "M = cmsm.CMSM(langerin_reduced.get_dtraj(), unit=\"ns\", step=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-09-12T09:31:02.428514Z",
     "start_time": "2019-09-12T09:31:02.357788Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "*********************************************************\n",
      "---------------------------------------------------------\n",
      "Computing coreset MSM at lagtime 1 ns\n",
      "---------------------------------------------------------\n",
      "\n",
      "Using 116 trajectories with 25900 steps over 7 coresets\n",
      "\n",
      "All sets are connected\n",
      "---------------------------------------------------------\n",
      "*********************************************************\n",
      "\n",
      "\n",
      "*********************************************************\n",
      "---------------------------------------------------------\n",
      "Computing coreset MSM at lagtime 2 ns\n",
      "---------------------------------------------------------\n",
      "\n",
      "Using 116 trajectories with 25900 steps over 7 coresets\n",
      "\n",
      "All sets are connected\n",
      "---------------------------------------------------------\n",
      "*********************************************************\n",
      "\n",
      "\n",
      "*********************************************************\n",
      "---------------------------------------------------------\n",
      "Computing coreset MSM at lagtime 4 ns\n",
      "---------------------------------------------------------\n",
      "\n",
      "Using 116 trajectories with 25900 steps over 7 coresets\n",
      "\n",
      "All sets are connected\n",
      "---------------------------------------------------------\n",
      "*********************************************************\n",
      "\n",
      "\n",
      "*********************************************************\n",
      "---------------------------------------------------------\n",
      "Computing coreset MSM at lagtime 8 ns\n",
      "---------------------------------------------------------\n",
      "\n",
      "Using 116 trajectories with 25900 steps over 7 coresets\n",
      "\n",
      "All sets are connected\n",
      "---------------------------------------------------------\n",
      "*********************************************************\n",
      "\n",
      "\n",
      "*********************************************************\n",
      "---------------------------------------------------------\n",
      "Computing coreset MSM at lagtime 15 ns\n",
      "---------------------------------------------------------\n",
      "\n",
      "Trajectories [0, 1, 73]\n",
      "are shorter then step threshold (lag * minlenfactor = 75)\n",
      "and will not be used to compute the MSM.\n",
      "\n",
      "Using 113 trajectories with 25732 steps over 7 coresets\n",
      "\n",
      "All sets are connected\n",
      "---------------------------------------------------------\n",
      "*********************************************************\n",
      "\n",
      "\n",
      "*********************************************************\n",
      "---------------------------------------------------------\n",
      "Computing coreset MSM at lagtime 30 ns\n",
      "---------------------------------------------------------\n",
      "\n",
      "Trajectories [0, 1, 4, 63, 73]\n",
      "are shorter then step threshold (lag * minlenfactor = 150)\n",
      "and will not be used to compute the MSM.\n",
      "\n",
      "Using 111 trajectories with 25447 steps over 7 coresets\n",
      "\n",
      "All sets are connected\n",
      "---------------------------------------------------------\n",
      "*********************************************************\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Estimate csMSM for different lag times (given in steps)\n",
    "lags = [1, 2, 4, 8, 15, 30]\n",
    "for i in lags:\n",
    "    M.cmsm(lag=i, minlenfactor=5)\n",
    "    M.get_its()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-09-12T09:31:20.706043Z",
     "start_time": "2019-09-12T09:31:19.851168Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 750x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the time scales\n",
    "fig, ax, *_ = M.plot_its()\n",
    "fig.tight_layout(pad=0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 750x630 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "figsize = mpl.rcParams[\"figure.figsize\"]\n",
    "mpl.rcParams[\"figure.figsize\"] = figsize[0], figsize[1] * 0.2\n",
    "M.plot_eigenvectors()\n",
    "mpl.rcParams[\"figure.figsize\"] = figsize"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
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    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
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  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": true,
   "title_cell": "Contents",
   "title_sidebar": "Contents",
   "toc_cell": true,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "164.988px"
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   "toc_section_display": true,
   "toc_window_display": true
  },
  "toc-autonumbering": false,
  "toc-showcode": false,
  "toc-showmarkdowntxt": false,
  "toc-showtags": false,
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
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   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
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    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
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   },
   "types_to_exclude": [
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 "nbformat": 4,
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}
