examples/mvimage_load.ipynb

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 "cells": [
  {
   "cell_type": "markdown",
   "id": "aec7684a",
   "metadata": {},
   "source": [
    "# SPARF: Example for loading multi-view posed images of SPARF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b412a4d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import torch\n",
    "import numpy as np\n",
    "from tqdm.notebook import tqdm\n",
    "import imageio\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "import matplotlib.pyplot as plt\n",
    "import sys\n",
    "import argparse\n",
    "import glob\n",
    "import importlib\n",
    "import imp\n",
    "import json\n",
    "import ipyplot\n",
    "\n",
    "project_dir = os.path.join(os.getcwd(),\"..\")\n",
    "sys.path.append(project_dir)\n",
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8184c883",
   "metadata": {},
   "source": [
    "## util functions to plot cameras "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0d6927e0",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_camera_wireframe(scale: float = 0.3):\n",
    "    \"\"\"\n",
    "    Returns a wireframe of a 3D line-plot of a camera symbol.\n",
    "    \"\"\"\n",
    "    a = 0.5 * torch.tensor([-2, 1.5, 4])\n",
    "    b = 0.5 * torch.tensor([2, 1.5, 4])\n",
    "    c = 0.5 * torch.tensor([-2, -1.5, 4])\n",
    "    d = 0.5 * torch.tensor([2, -1.5, 4])\n",
    "    C = torch.zeros(3)\n",
    "    F = torch.tensor([0, 0, 3])\n",
    "    camera_points = [a, b, d, c, a, C, b, d, C, c, C, F]\n",
    "    lines = torch.stack([x.float() for x in camera_points]) * scale\n",
    "    return lines\n",
    "\n",
    "\n",
    "def plot_cameras(ax, cameras, color: str = \"blue\", scale: float = 0.3):\n",
    "    \"\"\"\n",
    "    Plots a set of `cameras` objects into the maplotlib axis `ax` with\n",
    "    color `color`.\n",
    "    \"\"\"\n",
    "    cam_wires_canonical = get_camera_wireframe(scale).cuda()[None]\n",
    "    cam_trans = cameras[:,0:3,0:3].to(torch.float).cpu() # torch.cat(cameras[None,...],dim=0) # .get_world_to_view_transform().inverse()\n",
    "    cam_disp = cameras[:,0:3,3].to(torch.float).cpu()\n",
    "    cam_wires_trans = torch.bmm(cam_trans,cam_wires_canonical.repeat(len(cameras),1,1).cpu().transpose(1,2)) + cam_disp[...,None] # cam_trans.transform_points(cam_wires_canonical)\n",
    "    plot_handles = []\n",
    "    for wire in cam_wires_trans:\n",
    "        # the Z and Y axes are flipped intentionally here!\n",
    "        x_, z_, y_ = wire.detach().cpu().numpy().astype(float)\n",
    "        (h,) = ax.plot(x_, y_, z_, color=color, linewidth=0.3)\n",
    "        plot_handles.append(h)\n",
    "    return plot_handles\n",
    "\n",
    "\n",
    "def plot_camera_scene(cameras, status: str,scale=0.3):\n",
    "    \"\"\"\n",
    "    Plots a set of predicted cameras `cameras` and their corresponding\n",
    "    ground truth locations `cameras_gt`. The plot is named with\n",
    "    a string passed inside the `status` argument.\n",
    "    \"\"\"\n",
    "    fig = plt.figure()\n",
    "    ax = fig.gca(projection=\"3d\")\n",
    "    ax.clear()\n",
    "    ax.set_title(status)\n",
    "    handle_cam = plot_cameras(ax, cameras, color=\"#812CE5\",scale=scale)\n",
    "#     handle_cam_gt = plot_cameras(ax, cameras_gt, color=\"#FF7D1E\",scale=scale)\n",
    "    plot_radius = 4\n",
    "    ax.set_xlim3d([-plot_radius, plot_radius])\n",
    "    ax.set_ylim3d([-plot_radius, plot_radius])\n",
    "    ax.set_zlim3d([-plot_radius, plot_radius])\n",
    "    ax.set_xlabel(\"x\")\n",
    "    ax.set_ylabel(\"z\")\n",
    "    ax.set_zlabel(\"y\")\n",
    "    labels_handles = {\n",
    "        \"cameras\": handle_cam[0],\n",
    "#         \"GT cameras\": handle_cam_gt[0],\n",
    "    }\n",
    "    ax.legend(\n",
    "        labels_handles.values(),\n",
    "        labels_handles.keys(),\n",
    "        loc=\"upper center\",\n",
    "        bbox_to_anchor=(0.5, 0),\n",
    "    )\n",
    "    plt.show()\n",
    "    return fig\n",
    "\n",
    "\n",
    "def save_cameras(cameras, save_path, scale=0.22, dpi=200):\n",
    "    import mpl_toolkits\n",
    "    fig = plt.figure()\n",
    "    ax = mpl_toolkits.mplot3d.axes3d.Axes3D(fig)\n",
    "    ax.set_xlim(-3.0, 3.0)\n",
    "    ax.set_ylim(-3.0, 3.0)\n",
    "    ax.set_zlim(-1.8, 1.8)\n",
    "    ax.scatter(xs=[0], ys=[0], zs=[0], linewidth=3, c=\"r\")\n",
    "    plot_cameras(ax, cameras, color=\"blue\", scale=scale)\n",
    "    plt.savefig(save_path, dpi=dpi)\n",
    "    plt.close(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa837380",
   "metadata": {},
   "source": [
    "## load the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f9dd3d2f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading NeRF synthetic dataset /home/hamdiaj/notebooks/learning_torch/data/sparf_pytorch/examples/../data/SPARF_images/car\n",
      "52 instances in split test\n"
     ]
    }
   ],
   "source": [
    "from SPARFDataset import SPARFDataset\n",
    "views_split = \"test\" # split of views [\"train\",\"test\",\"hard\"]\n",
    "object_class = \"car\" # categories \n",
    "n_views = None # all views available in that view_split for shape of index = index\n",
    "dset_partition = -1 # -1 to include all 20 partitions of the data of that class [0:19]m otherwise takes just a portiona of the data \n",
    "data_dir = os.path.join(project_dir,\"data\",\"SPARF_images\")\n",
    "return_as_lists=False # defulat False , returns dictionary of tensors instead of dictionary of lists with each list size is `n_views`\n",
    "\n",
    "\n",
    "dset = SPARFDataset(data_dir, views_split=views_split, z_near=0.01, z_far=1000.0, n_views=n_views, object_class=object_class, dset_partition=dset_partition,return_as_lists=return_as_lists)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "24721935",
   "metadata": {},
   "source": [
    "## visualize an example "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b917d68c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape path:/home/hamdiaj/notebooks/learning_torch/data/sparf_pytorch/examples/../data/SPARF_images/car/58d9741ad324623e9872e22d6b8eb647 \n",
      "img_id:10 \n",
      "focal length:482.842712474619\n"
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src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-M38dr922i9zjxLmR7ZKRck\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-PK85MWZkXAK3PC9Bz7MtxD\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">1</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-PK85MWZkXAK3PC9Bz7MtxD\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-ZkStf2eatAF99taXry8AoJ\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">2</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-ZkStf2eatAF99taXry8AoJ\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-iP5ApEZ37B9NdPCDiEaH9g\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">3</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-iP5ApEZ37B9NdPCDiEaH9g\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-McB6FiXK2Gs4wWuo9bcsnW\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">4</h4>\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAGQCAIAAAAP3aGbAAATnElEQVR4nO3dzYskZZ7A8ScDEbTFg4h269LIMOC0sPhC2d2ueHBvTY/0ZWn8BzyJSDPnPc15GIY5zn/g7mVxxdv2QZy1tegV9uAODIPIjK0yp2ZUGCRzD09XGBVvGfkev8zPh6LJysqqisqu+NYTTz4ZOZnNZgkggmLXGwAwlGABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYdy36w1gP52ffNj1oS9mL29zS9gnk9lstuttILyePGVPXPpF9d0vb/2q9WZaRj/BYhmXL19O3d2p5WkhWkYPwWK+/jyVVunUQHkbxOtgCRYt5h7i1WwhVa0++uijnXxfdkWwWDhPp0zSExd3U6sq5ToQgnVwiqL4h9kHa/hCkx8vahbbIVj7b5UB1EMX3mi9/m//97vqu2MIViZb+02w9s0m8tRqtM1KsrW/BGsfLBephfKUPfzww3fv3i3f1Sy2zEr32Ianark8dV1ZzdY45aUYsrVnjLBCmtupdeWpR27WmAdZmWbtEyOseJq1WjRPi7YpNEOtfWKEFcz5yYfjyVNzkDXCEVZJs/aAYEUypFbbHD1Vg1WeqOjsiJuVZCs458MKo6tWD5+2zU3K3+6hn70R6NcoHyESVKDftIPWU6vtb0y/rz6e8xzpnbt8+bJsBSVYATzzzDOjrVXehgd/tvCDkjunWREJ1tg988wzu96EvaVZ4Zh0H7WeWo1heFW6e/fud6cXZI186r3GTHwURljj1VWr7U+uDxHxqLBkqBWFYI1UT622vCUHQrNCEKwx6qnV+J/EF5dHD8dPsEanv1bjHGGNc6uWo1ljZtJ9RAIttmrKQ7/q1Husefca0/Dj5MnPYzHmWm3i5bxG7vLly5o1QkZYozC3Vrs6GBz+0l6rr2wov9d4OqhZYyNYuzfaWqVKRP7p31+pfej3//JBSqmY1D+l1BqsuQVc0SZiJ1vjIVg7NuYjwdToS85WTlU2JFibjtS69MROs0ZCsHZpSK12/shgf26euPSLL2/9qpqtaXkp2m9WT3y7fD71GtRbJVg7M2Rp6M5rlc2ddM83yDv8vWCN/tdqiTytQtrWQrB2Y+QL2buWp/7ts9+llB668Ea+EMsihRq4PnE6/yatnzZLqXt7pK2HYG1bz1lD1zu2mrsmfpzRyceYa/yCi4+kVl9NPSdk07Z97taXP8kXXnryTwO/zQGmTbA2peuFbYafkX3gC2qNszu7tcLh3pqf+3Hrzk9SSpfO5QZN07xaZcOblQ4sW4K1Tq8Xxe9nH/TcoPOV30VnrZYK1qaeppab1W86rQ/KFmpWOphsCdZ6nL1+/f5/e3vXW8GPVjwS/Ozb5/pvfeHMpwt99f5sNYNVFPMDeuncH6vvHkKzBGsN4tVqEuBRvKXd/5//mi/87z+/t9FvtGizprPpJ1/9tP1DJ8HKnZpOp3ODVatVtvfNEqxVRalVMSlSStPZkg9sjVwZqZpRNau885vZao6wUvcg62RGrP2b7HezBGslm6jVhspSTIqUpq0zvvuhtVmbDlY2MFv3/k8rx6qf3LlXriGHhL2duuezb5+7cOb2HjdLsFbS9VDgqvb6kG1DdjXISsOD1b3c4dZf6jNcl05PuhfDHhPIU28PPPDAkBtH5AR+y9tUrZJaBTN3hj711io18nSp8RDhNE37v8KBcD4s2Ia5Q6SXnvw8pfTff3nqpSc/zzduFmqapkOGWt9///2+DrKMsNgTf//5L3e9CWuQs5UVqWi+7W7TRsEIa0lnr1+/PwV4cJB//K+rm57Gunv37pDVoaUh0+e0EixCKR9iG8c0X+sTp1599dWU0s2bN/PlfKFqobo19fTuwplPh0yoxSVYSwqx9iqiR59/q/X6v3762+q7xSRNUz1bf//5L7seK9yEgS+5VjarK2Rzb1AzpHf7Oo116IfEjMSfJ6888uybjzz75rTivoqzRzfOHt0oUipOfmuLtuffrGUm68KZT4e8dX16NTRdl9NJnro+sXqD6oXWK6uftd+vXGmExe49+vxbj6bnynfvu6/913I6nT52dOOb419Xrywm9fMfNJt1YXJ73ibs+C93czx18+bN1qJ1Xdk1HNszRljsWPUYMA+mum6ZF38/dnTjsaMbp67f7rlDB6qWZe5gqusTl7gypXThzO0LZ+Y2OiTBYpdqtRr+iSNv1kI96jlsbL2yOtV1aASLnSlrVRRFtVb/UTH8q/U0a7fPoFxoGqtm+NCsestbd9rPCbEHBGtTTj3aNTl540T1/imf6NuMVE+5Hju6cTIFX52LH5H+Hi09B9+8srVi54uNPXVsd0b3fxxdfqgrP9r1yLNvnn3xRppUdinNashjq7njqY5mnVpckk90sZRlnqa30PrPhaa0Bg6s+o8K93Lf3ssfamceff6toiiKorj/RErp7LhnW3aiHF6VtRryWUNutkKz1mzuzFS2ysBqyJV7Ziz/u4Gcn3zYf56G5uTxyGeIdyUfCS40UdW8cW2QNX6rxGvRK/ePYC2gP1V51NB1gFNp1hhnW7apOtfe/Gi+Mg9Uq1eW18xtVqBB1kYXN+wlJ/Abqn9UVdaquTtdu3YtX/jm+Dep41Si+33+4pp8X+UA5burPJF5vlye0bx6pvPqR1PlXs3yfVtq3pMDRrX1zC3/39F2TtHtu3Tuj/t36lEr3dem3P26PHb09jfHvykmRduecBCpSqeHV81aDVE2a0WNtQ7DvmZb+HpGdC+2vVTEMpYaV+S/sl/M9idbYxk8j9yQ4VXXSwYsNEdzIMr7qnqhegeW46nWG6fGvTp3Jms6q78NNUlpkoryrbGSon8Xar39Mm8nG5AWfztffFi+Df6xR0qw1iOPF2rTLuW/5d6V96vxTLKs6GQvKtKCP1RtNFobMfW/wtWVK1f6b7DQoVwxmff2406ytvisMo+54rd8qvjwqcjl2pM9Z+eaqToEJ6OV/Ars8zNRO3VM69Cp/RudLtqVK1dSx9C1fzOaPVrEtDxsnM6m+W2hz29uzqbr1vONgzbrUHatTSuHV819r3awc+/K0+OR6exgJrEad1EtRl3zU/mzcqqaXyQNG70udjB4+vuXda52ak3lGrQB6+1a0D0/6GaPyKPPv1UuvMo7W3WXKy83hwMtu1bY9VnFpFhotNI1r1cdc+VTYrUOvt57bxuvNlj12bfP/eG7F/7w3QtdNxjNI7w7GK9tU+BNH5XW6eHWna1zeng2ltP+LmE6m/8Sra3Hg83E93vvvfeqtWoN39zZtEUHWZ99+2OnIjRriKjZCrnR29f/wPAPP/yQL7SOrbL2RZL7Mvu+irJctZVWTdXrr1y5cvXq1aW/6fBmVWs14MsGalZIdpg1qP7Nbx7FlCf83fp2jVH7jN7JNeUdVd5dzWtSSjlV77//fud3WdNfgtZa9QyykmZtmIWja5NTVW1TdR/LD+TX1mcfpnJAWlVb7J46jhNzqrrmsPLS3IGbMZ15Umc8grVmzdWPqfcwp2Ph+z6r5aZ1jWhq3Gnlh7Y/476Pov7KCdZQX8xebq53z+eTyZerz3erXrOup5LspeYEVu2j1TtwOp1Wa3XlypWeeI3qL8GKL0S4XpfO/SmlImizBGudam2qTr7IVlXZqerAqnn/lHdg7d5bZbr91Nefd1T49IO3+2esmrqmz95+exunwZm7BPfXv86vORT1V1GwFtA6yKrpmVHu/JQxjQU2refemH9HnV47mvXMDK5+x7bm7OkHO1+Qpmey/5133lllS1b0+uuvV94L/MvmUcI1az4gaGBV1XNvzL2jdnJP9uSpppikk6fvjPd//NK6zh6xI4K1mJ4FWc2JmPJ4x7KGVs3VDKnx0Grt8nQ6ff/996sLGlZ84HXu/0oxSeVr/D394O2ufjXGYtPq27lz51bZyHU5OR5MacxN7eWQcFWDFoiawDqtulptyB2Yb19Nf27Wek6M1bimuQW5WbVXmV5lVcT169fn3qbal/U+o36a0hcxz+0nWAurzmT99X9+W3u5quYUe7mzvfbaa9vf2pHrGk91KddhdT3NcD1b1fOxycJHJbfu/DSlOz036DpMe+mdBV6VZ6B7P1rYJ4EJ1jJaZ99blzXkC4ZXVdeuXas9B7C5arSpHFiVT8rpWem+Ua3/l10Vm67xpKNrMUsp8jlIzWEt6YvZy/ktVaZRysOWNGwnLB3OkwqbB4C1NQ09z8dMp+ewag8XppSOj48X3qDZgm9dP1fH26oW3bwB2x+3VskIa3W3b9++ePFi7cr+A5Yhr0z18ccf5wtzF1KE1uxXeVaZWvdrS0xb57DOp8awd+1LRsIeTGWha5UEay2q+1h1kFXdnZZ+MGvTv2FHR0fvvvtuURQvnt3skUs531ddDlqd7BtyAtKrV6/m1e3TttfOoUf0VGWCtQbHx8d37txJ3atGxzyHlTd+Op1+8lX7C1ItlIZyYNjqhZNF47VprOb9Vn3sovrR27fvrSrIdzhVf5680rxyzL97SxCs9XjttdfyOKX19DKLfrX+3X7t8sa3HsausVapkpvmQXT122Wt46yvv/768ccfH7IxXVr36k3rymv+Wcq/duWPv9DIsXK371WbWgnWmrUe44z8yOX4+DgfGNaatek/ztWjwv7jwda/BE1DJgfPpqPN/T3Id2O+PGTVRdnfoigef/zxrnF6Gvzozd479J9/XY6Pj69du1abJ15ugfuWh1elvBp7WpGvb61t8+daaLOn0+nSEf/666/zjj3OPwOLrrYrB1/lhdav0Hriw7S735ZdEay1yTthc08esl/tfKLh+Pj44sWLtV3l2rVrnc8rPr3zLLrbHB8f95zKomug13woY2zyuooy/UM+pTbLudAY6tBqlVKazGbBH6cdk6Ojo+L0S4QuOgrY7a/gxYsXuw49qg+DVq9My61+qtxXteW1rd+l+djF0sOrLdzD1QPDNKBB1VotNEATLFbVNZ08xEh+/46OjsrL1WVQzVmkFTe43LGrzdqPYKWUhjSrNgpbdq79gAjW+uWxQ+p9im9W/ehy45QtyMOuoijWvodUd+zmOKu8WfOwccy1yvKPVq53GUKthhCsTSnHKc1VDiE6tR09zeoy/lpl5fF1dajVKta8wW4JFruUg1Wd+OvP1tx9u2v1w0528urBdetoa4n4HnKtkmCxc+Ve3T8SWXERww7382q20rDHAVuze+CpygSL3asePre++nzcWmW1xzG6nlTQtcRh59s/HoLFKJQzPmmp9dw96+DHtrfXBlypYymW+c1WgsWINFdUzNX15M1NPKzJzgkW49I649M1gKqt2yrfNTbZV4LFSDUPnVJjfVb1XeOpQyBYQBie/AyEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWE8f/kJ1JS7ipH5AAAAABJRU5ErkJggg==\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-McB6FiXK2Gs4wWuo9bcsnW\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-XrCa6RXX2HzL9eiKkxvLbd\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">5</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-XrCa6RXX2HzL9eiKkxvLbd\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-7RbatS6Z9qYPMHCysMgDiP\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">6</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-7RbatS6Z9qYPMHCysMgDiP\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-fh8XgGXEM39xeLrAXnKXB3\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">7</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-fh8XgGXEM39xeLrAXnKXB3\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-Jc2CReBdNiDjUZDwq5d2M4\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">8</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-Jc2CReBdNiDjUZDwq5d2M4\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-2ukYJWSy2Mqkmw5Vs2ftYc\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">9</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-2ukYJWSy2Mqkmw5Vs2ftYc\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-RBexDKqQkuR9VR7xwtR88r\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">10</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-RBexDKqQkuR9VR7xwtR88r\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-mXBt96M63tnAyRzDDDahNT\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">11</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-mXBt96M63tnAyRzDDDahNT\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-DpNDWqDX8jp2zjTKo2bpXR\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">12</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-DpNDWqDX8jp2zjTKo2bpXR\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-g7CSG657apFdCDrTAQnR8F\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">13</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-g7CSG657apFdCDrTAQnR8F\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-chm5To3JQ7g9wCykoorsJZ\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">14</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-chm5To3JQ7g9wCykoorsJZ\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-Rx7CzftxfPV8cB6gXd7Sje\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">15</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-Rx7CzftxfPV8cB6gXd7Sje\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-Cs7AsMaWsptEcx3oEgbjEn\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">16</h4>\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAGQCAIAAAAP3aGbAAAXQklEQVR4nO3dzYtc15nH8acuwguh0WIwRlKGRohAZIaA3dOW4ygCk22m8cJMJ2g7eCmEmfWsZm1CyNL/gMYvhEbx0sEgt4x6CuPNYAWCMU2sFl5qjBfG3JrFqTp9677Vrar7cn7nfj8Iu7q71F399tVzTt1bNZnNZgYACpKhbwAANEWwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyDg39A1AT3YmR+7CyezmsLcE2BjBip9PlZk9enJtwFsCbIklIQAZBCtyjFeICUvCTVxNjswsrb7CSco+EdA+grUG1ymvajpNzXaWr+kNHrLLly8PewOAbRCs1a5W1KfKBiGzAFoGhG8ym82Gvg2B2pkcJZM+PlDN0tLZuGVuAys1SxYbWExYkEawSrjf835qVa++ZfUh85/F1+lNMzs9PaVWUEewloSTqnp1IWv1+8lRpggKwTqjUqsal278R1vv6smjd6re9PfJrTRduZAF2kew5vzxSqLBajFVVqxV6dck84PDIIZ+ECwz8Vp1mKotvhrc6YkuEKylY8G1gtVuqszVqrOvAAnD9sYeLGrlPDmu3LHqDgnDujhwVNJQtUoqPvpmvSseRkvCUG/UwQp2vDqxW9evX//+8bulb219JVivyfnxV0gYejHeJWG2VhZSsE7s1o49cP8tvrX9fauystREauMb0Naqk4SN2agnLC+cWnk1zWpRMSLdPd5QbgrbuF9MYWM20mDVnIQ8IF8od6HrWhX19uhoT4/f8R9r+yNQSdh4jDFYwS4G/VR1YrfOX3+ruIfV8+5VURc3IFfJVo6gJ2GxGl2wcrUKh0vVldmD1Gxn8uDx41s7HX/E3KIskAefLd4MEgZvRMEK/+EK3FTV23b7UJ6uuXvVxQhmJEzTiIJ1+fLl4ngVyHrQRcpPVT1st28gkGJ2NILZcsKIV5jGEqzwxyvH72F1/YHCXA9upt2EuXszd5L514dyBWUswbKy3atAxitb3m53L+auEMh0s71114Ob2T5h/iAMyhWUUQRrMV59NfQNKZddAPZz+FVOk/FKvZgbJ8yX6xe/OBtLiddQRhEsC3u8cvpM1SCnOodmg4Qxdg0u/mCdnp4OfRPq5E7EKW2W+nSjImn8paZcQ4k/WGb26pX8YjC08crMzl9/a+dxH9vtOX2uB/vZwOpTccFIuToV+cnPp6enxVpZYMEqnO2cZFcnXZ/tTLC8tj5Ntrq6E/OEVbUYDKdWEtvtWFdxwei/zl+TsO3EHCwrWwyGKcwjRdsV+HjVBVeu7CeeexZx+rWuaINVtRgMSu5s553HD3JDTz+PflVvJFv+g3yaVwunB5GweqNbEwS1HvSXd+zB48ePFy/19JR/o/veD2StFF5NjrJ/urtVoqKdsMKXHa+iXw+O2TZrYUawnGj/lQ38zsHc4QuLZvW3Hmz4jR/J/YNCriZHVw4OLh0cDH1DhhFnsAI/WDSL8Qrreu6Du7/+4IPbSTLCbMUZrFJbjFdJ2Z+t5FaCPYxXWSP6rjfT8Y57yz88nsvW7WRE388IP9X1x6vSHrX/4+Xlttv7Obp9wPsHx7wefHr8+7JXb/sz9nB5Kh9PtuL8JMvOxWm9R1t96c5ff6u3VEFBCz+Zt5Pk9p/i/I32Yvv0+t292uSrt3hw0cfZF1kPokxdwh5WbH3e/lPM2YrwEys+smgyCfHT7HO7neNFY7FqBHtz/v9YmxXVZ+XGq36fF2ftL2DZgVfZd9LtUaP9f7/D38DSTfNDq/tRj7JZsX1KQzxw+xpfw+J2O49+FbGKHfc21TcrPvEEyz0Octkjiwb3OYa/3U40hb15dvH27dvD3Y5OBPfLrKnRl7H4jDhst2N7KxaGcTUrkp/hAMar9T5Q+ENWK9jA6sd4FoaRnPws8ZyDnO2M7vhm/dJiPjs6kgnLyp8Xp+fPru7DNTvb+e1Obtea4hg6RuuhHT18c+l3IaZVYTzBCsPqr+d4xqvw14MRe/hmPltxiCRYAYxXK6w82xmR6eGYhpUe3rtjZnbvXjSPBcjvTOtKvqRNznYOZD04KmNY/M6bZXY1OdrRz1YMwQpvvMp/9Ox2+yA3yD0bQpOD6MfwOzw2fj8+MVNvViT3EoYst2kV8na7LW88bRMvNrDC5Jql+4SJBKsjSXGgGXbI2kAxOsxfmvI/irrNkg/WzuTIJmaZp68eej3ozZs1+HqwRbmE0S9dos2SD5bZUq1Co7UeXJd0vzq6tT89PjazT0M99Lynp5DrjHawiuNVYOZh+qfZg9RsZzL8kJV2eT8L+1ZaFIesQFZPmwv8E3ArwWRif5/cMrMdOxrqJnf1APUIXd1QJXd8lvCE1e8D9W3ixG5mjxQ9sVs7hZVCD+tBBh+UUvzXSzhYFtITo5bKne1crFXXSBWy1DewTDdYfrx6dPrTCxcuvHjhi0Fvzmp9jld0Cs1dTY6+1tnJUg2WmdnEzOzVy3/73/97aeBbUqv0nsGONE/V+etvff/43U5vzAgFfBdhYosfwVR50pIMlhuvFFbgyY4dnfTy+ET1qTp//a3sixcvXjS7eDFzvz5D2Xgklug2SzJYVrt7lc7SYI4dNZvfM1iirfXg+qkqvTFLByXRr7glftgyE1oPmmKwwr9zsDc1WWnYqSrR90vrGNfOlJxAFji9YFlhvPrnf/jiy+9eCn/fvUXdpapU9P0asYDWIk2IBavheBXaqrBdVb3oIlWl6JeCTk9qGIxYsCokZpYbstJZujyIxfDNGzxVpS6xeW9mwd1FGMMPfFEcwZr76/e7Pzv/ecUbS9fqMt/UJ8fvWNnNHTZVRQxfgUnNLJ2Ffoh1c5EE68ULX3z53Uu23KwG36chK/b0+PcN7yh8UvZrH1qqStGvEMS0PRJJsKq+JRv92xLQLNYkVRZqrYroF7YkFqyT2c2qfXc3ZCVJ8tfvd82sem24map7fzsMWbFWqdkFhcGqocj69bcbN8zMjoe+HVETC1Zzfm3Y8QJ+q3GsZlVYrNUF2cGqod427zkIS5desNyQVdogP2S5F/tqVtFW41jpMjCmwaoJ0eErhOcijJtesKokkySdpdlm/fwvv3nuz/O3/vCv/1W4fs830JocVTzCwaoJ0X6F4LNvrr32k6+HvhWtmcxm4T7AcJX5yc9lh1mls9TMXLN+/pfflP71YrzO3ssQ9/7630ZqtZkN+tXRqjC8CStdGayv09f6ujEtkJyw3KqwZqH34oUv3Nb7utJCvXtLWK5WpKq5DTa/nh6/M4adrM++ueZ3SOIgGawy8xMR3MLQzH52/nO/Htzq/ZYNoK1XjFq1xWfo2bNnZlbzmF8jaVZkJJeETmFhePYviWtW1nN//k93oWY9uKUtK+ZvsXvoj/PX/92/iVptwAUrqzRe7TYrtCXhZ99cNTOWhEFYuTDM6q5TXgvLSfceJku1suXfPeK1sfE9yOrqO3nkHskvpvXt2Ze+6bkIE7OJJeV/Evdnqxs0K/lTqdmk+2zZNjcP1uodjqGNV2b22k++WnENtfWV8JLQWV4YLvWluDDMmxT+zpmSV69+h2248GJ+A2stjGDes2fPLl68mMt6dwvD8ILlflzr/tHVWg9aBBPWyeymnS3HloLip6S2Tv5s971V+e7Ld7/78t2PP/54s7/OCFaveCamcWCXDvkJy6mZs7KWRqTFBlPZtRslqdOB69GTa69eOZvntxy7vFHNX27Csr424JmweiC86Z7lN+DNzH2f6uegS680elyXb6d/qHmr+xBdZOvRk2u513z35dIv2Mb9Kv7qjiFhxYXh+DbgIxHJhOXUPICyj8vzL985d26TTNfHq91s5carldqavyyufvkJy7+YfWvrQxYTVg+iCpZXVa7nX77jDvzNHf57eHiYu+Ybb7xR9c5rytVKttx4tVawikiY01uzwquVESw92XI9//IdW6TK/TfbKfeaNE2LF6ysX91lq5Vg5Yy2X/XBsvaaRbD6EXmwsnZ3dy0zW92/fz/7Vv/6YrNskS0rlKsqW9s0q4tg5YynX7lgWbNmRROsdLZiM5dgBS3brGywkiTJ5al0znJXM7P9/f3sorI0Wxs3a90NrFbEmrBisKybZoUXrMy5XtXkghXJvYRb8gNUNkxJkmRDli3URx99lKapn7Ze2Ltr+WzlnxixYb+K9w/2o617Ia2Qg6D65RTvNCyK5dRo+QMtc0Y9YVWNUe7KvmKOH6+y5cpmy86atXrvoKpfg4xXK7U4f1nvCSsdsqztDfhQJ6wVwZKbsMYVLMs0yy0Ji9tVlklVabyK1yxsbLmf3TX+cfP9CjFYk5IzzoSWkA2DZds1SzFY6Sx1J4oIGV2wvL29PT9kNZdLW/b1y6PW/MfXn+3c5ISefs5VbGitw2JD7ldVsKy9zazwamVR3kVoYw6WFZqVWwM6uTyVXscrb5aVTCjFfmXTkExqH9ehX+6Ep3VvTzgJqwmWtdQsgtWbUQfLypqVW/GVBit3r2L2TblmzSO06mvsHyi19MUIDNiv+mBZG5tZBKs3Yw+WLZplFcNUdj/eClvvxcBlj3h46oassX+BS/S8i991swhWbwjWXHFLq/QgrGynSo8steUh6+n/nP0ouw3OmhMeV4pv8vI6HcFcj7ZcGFp1swhWbzgOa246ndpytorHOhSb5f5uzcaWexgJW9Qqe8FZq1+x1sp6ORCs5gAxHs5BBRNW3t7e3nQ6PT09La4Q68839PyEdXx8bIskNbz/eJv5K2LtLiGLmj9sVumQ1eeE9Sub/yB9avU/KnFOWASrUtXeVqlss9w2lquVme1MjrY52oWEleo6YU7DhWFvwfql3Sz+LJaVK86jRo1grbS3t2eLEw9ryuWDtb+/b4sFZhfoV6nu+rWyWX3Wykoj9KGZ2advZn8wCBYW8XILxtybXKec7mpVRL/OTCxZHC/Wbr/qmxVIsJxMtlKChdCNsF8l95x2cC5R1WZWz7WyVcFK3//dw3t33EWCBTHj6dfizIHUmh2Uv0G/SpvVT7B8rawYoQ+XXkrf/52ZPbx3Z2WwFE8kNA5riNs2h1BoWfeAj9xRFLZRwp4ev9Nwt2gb2VrVc7Uys3SWrnzWccVaGcEalfH0awMrDwSrPTIrl8u+HoXqw/JX/2py66E96Ok29ItgjRf9qlHar8ZHk7bWr+J4tXprKmoEC3P0q0auXysXXMu6mb8qxqv5h5yteyM1ECyUo181cvv6HfWr+e5VUZS1MoKFhuhXjX76tfQXPsxf1e+42717a314LQQLm6BfNVrp1w8Hf/zEDl5/7736q1bnLc6dLoKFFtCvGtv065ODA3dhqVzZI0Xd//x4ZWZmsd5FaBw4ih7Qrxql/frh4I9V13/9vffy2+3ZWt27Z/NgRXiYuzFhoQcDzl9rPZXGINadvz45OLD/ttd/uxi4lmer6DFhYWCd9qv0yYpC7pf3428rh6wzafr6uczMsdhuj3jCIlgIS+v9WvkEa4H3q7Jci0c0mjdrqVa24kRCS09SyVNzCBaCtn2/mjwjpHcWr8XSrP5uuN5it5St5Ue4ff3cueyhDE2CJTpeGcGCnC0TVt+vdYNV/nc78+O//WHpIy4u/PqDD9yFT+3B4mbFGSw23SFmyy38YlbWGsFqZN9PR/E69/7dH5ablfXp7IFFeoC7x4SFqLS2Bbb+hFXURbaqgvXc+3fdY64uxDlhESzEbIN+XXrl7ZXXmU6nOyuetOZM69kqNuu59++aWSZYcd5FaAQLo1LVrxf+5W6T50aq8u20cpnmtZgtH6x5p8xs+TFXCRYQj2y2Lr3ytn/Go6pm5Z53sj5tPcfLWd6Gi/PR3B2ChdFxwXr+5Tvnzp3Lxsg9s7ctntXNMm3KPgF41fPm5jQp1/ydb9evDe40IFiAEv/stu6p25xsp7KFcorP+O1f7y6Ulqt5ts7e4Tr9qqpVOktrQkawACW7u7uff/65ZYLla+Vkh6nc5dwFf/2acrls1UekSmm/tjkUQ/T5cpw4HzQHWEv2mb2TJHH1cZOUv+yvnNvDevXKV5aZs5IkOTw8PDw8zP6VF/buWqYy6Sz1f1betmSSFP+s/ymefSDdWhnBAkq5VNnykOW41/jXP3pyLfdX3IX79+8XmzW/5uTsURmy8ermcNN0Uas0c1kVR7pj1HIrO6f0Nb5Z2ZDV38PoBje/QnTN+nY6f+7VZFLynK+5Zm13FH5Jm7RzxYSFcXIbWGZ2fHxsZvv7++7F7BZVTu49lL7SzNIFf4XDw8ONb2du/mo2gpVPUql77C3xLWuChbGbTqfuQjZV2Sv4BtW8k+J1si9mm/XC3vxI+s2GnYp+pTUrvvlrZ2biG1hGsAAzm06nbsjyiSle8LvvxXjldq+qhi/vH1+6Y2Y2s5PZzS0LsijX4sXiHzdVRVErYw8LcKbT6d7entspz+24O7ntquLRWLlN+tKjTM+un8lHKw8hXdwOy4ogVQ7BAuZcs8zs/v37fmKy5ejkRqfcIabZilWl6scffzSr20tq8SHwo+mUR7CAM24/68aNG27XKZstKzSo9Nj3+q2u4+Pj3d1dWyclpdesr1h8nfI40h0o56ctW+e86NJg7e/vJ0ni7pH0B9ljAwQLWGFvb286nZ6entqqh2qwQsL8ARP+vkhsg2ABTVWdeFiKVHWBYAGbyz7Yg0ehukOwAMjgwFEAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkPH/CNw/Ezo2BNEAAAAASUVORK5CYII=\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-Cs7AsMaWsptEcx3oEgbjEn\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-manZnAzPmK5T2fpFn43tdr\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">17</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-manZnAzPmK5T2fpFn43tdr\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-Xw2QTBi3qTgpGg5R3F5SAE\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">18</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-Xw2QTBi3qTgpGg5R3F5SAE\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-Z2fcEynGgmmJk4yHP8Sqpx\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">19</h4>\n",
       "            <img 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\"/>\n",
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       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">0</h4>\n",
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src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-M38dr922i9zjxLmR7ZKRck\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-PK85MWZkXAK3PC9Bz7MtxD\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">1</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-PK85MWZkXAK3PC9Bz7MtxD\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-ZkStf2eatAF99taXry8AoJ\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">2</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-ZkStf2eatAF99taXry8AoJ\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-iP5ApEZ37B9NdPCDiEaH9g\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">3</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-iP5ApEZ37B9NdPCDiEaH9g\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-McB6FiXK2Gs4wWuo9bcsnW\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">4</h4>\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAGQCAIAAAAP3aGbAAATnElEQVR4nO3dzYskZZ7A8ScDEbTFg4h269LIMOC0sPhC2d2ueHBvTY/0ZWn8BzyJSDPnPc15GIY5zn/g7mVxxdv2QZy1tegV9uAODIPIjK0yp2ZUGCRzD09XGBVvGfkev8zPh6LJysqqisqu+NYTTz4ZOZnNZgkggmLXGwAwlGABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYQgWEIZgAWEIFhCGYAFhCBYQhmABYdy36w1gP52ffNj1oS9mL29zS9gnk9lstuttILyePGVPXPpF9d0vb/2q9WZaRj/BYhmXL19O3d2p5WkhWkYPwWK+/jyVVunUQHkbxOtgCRYt5h7i1WwhVa0++uijnXxfdkWwWDhPp0zSExd3U6sq5ToQgnVwiqL4h9kHa/hCkx8vahbbIVj7b5UB1EMX3mi9/m//97vqu2MIViZb+02w9s0m8tRqtM1KsrW/BGsfLBephfKUPfzww3fv3i3f1Sy2zEr32Ianark8dV1ZzdY45aUYsrVnjLBCmtupdeWpR27WmAdZmWbtEyOseJq1WjRPi7YpNEOtfWKEFcz5yYfjyVNzkDXCEVZJs/aAYEUypFbbHD1Vg1WeqOjsiJuVZCs458MKo6tWD5+2zU3K3+6hn70R6NcoHyESVKDftIPWU6vtb0y/rz6e8xzpnbt8+bJsBSVYATzzzDOjrVXehgd/tvCDkjunWREJ1tg988wzu96EvaVZ4Zh0H7WeWo1heFW6e/fud6cXZI186r3GTHwURljj1VWr7U+uDxHxqLBkqBWFYI1UT622vCUHQrNCEKwx6qnV+J/EF5dHD8dPsEanv1bjHGGNc6uWo1ljZtJ9RAIttmrKQ7/q1Husefca0/Dj5MnPYzHmWm3i5bxG7vLly5o1QkZYozC3Vrs6GBz+0l6rr2wov9d4OqhZYyNYuzfaWqVKRP7p31+pfej3//JBSqmY1D+l1BqsuQVc0SZiJ1vjIVg7NuYjwdToS85WTlU2JFibjtS69MROs0ZCsHZpSK12/shgf26euPSLL2/9qpqtaXkp2m9WT3y7fD71GtRbJVg7M2Rp6M5rlc2ddM83yDv8vWCN/tdqiTytQtrWQrB2Y+QL2buWp/7ts9+llB668Ea+EMsihRq4PnE6/yatnzZLqXt7pK2HYG1bz1lD1zu2mrsmfpzRyceYa/yCi4+kVl9NPSdk07Z97taXP8kXXnryTwO/zQGmTbA2peuFbYafkX3gC2qNszu7tcLh3pqf+3Hrzk9SSpfO5QZN07xaZcOblQ4sW4K1Tq8Xxe9nH/TcoPOV30VnrZYK1qaeppab1W86rQ/KFmpWOphsCdZ6nL1+/f5/e3vXW8GPVjwS/Ozb5/pvfeHMpwt99f5sNYNVFPMDeuncH6vvHkKzBGsN4tVqEuBRvKXd/5//mi/87z+/t9FvtGizprPpJ1/9tP1DJ8HKnZpOp3ODVatVtvfNEqxVRalVMSlSStPZkg9sjVwZqZpRNau885vZao6wUvcg62RGrP2b7HezBGslm6jVhspSTIqUpq0zvvuhtVmbDlY2MFv3/k8rx6qf3LlXriGHhL2duuezb5+7cOb2HjdLsFbS9VDgqvb6kG1DdjXISsOD1b3c4dZf6jNcl05PuhfDHhPIU28PPPDAkBtH5AR+y9tUrZJaBTN3hj711io18nSp8RDhNE37v8KBcD4s2Ia5Q6SXnvw8pfTff3nqpSc/zzduFmqapkOGWt9///2+DrKMsNgTf//5L3e9CWuQs5UVqWi+7W7TRsEIa0lnr1+/PwV4cJB//K+rm57Gunv37pDVoaUh0+e0EixCKR9iG8c0X+sTp1599dWU0s2bN/PlfKFqobo19fTuwplPh0yoxSVYSwqx9iqiR59/q/X6v3762+q7xSRNUz1bf//5L7seK9yEgS+5VjarK2Rzb1AzpHf7Oo116IfEjMSfJ6888uybjzz75rTivoqzRzfOHt0oUipOfmuLtuffrGUm68KZT4e8dX16NTRdl9NJnro+sXqD6oXWK6uftd+vXGmExe49+vxbj6bnynfvu6/913I6nT52dOOb419Xrywm9fMfNJt1YXJ73ibs+C93czx18+bN1qJ1Xdk1HNszRljsWPUYMA+mum6ZF38/dnTjsaMbp67f7rlDB6qWZe5gqusTl7gypXThzO0LZ+Y2OiTBYpdqtRr+iSNv1kI96jlsbL2yOtV1aASLnSlrVRRFtVb/UTH8q/U0a7fPoFxoGqtm+NCsestbd9rPCbEHBGtTTj3aNTl540T1/imf6NuMVE+5Hju6cTIFX52LH5H+Hi09B9+8srVi54uNPXVsd0b3fxxdfqgrP9r1yLNvnn3xRppUdinNashjq7njqY5mnVpckk90sZRlnqa30PrPhaa0Bg6s+o8K93Lf3ssfamceff6toiiKorj/RErp7LhnW3aiHF6VtRryWUNutkKz1mzuzFS2ysBqyJV7Ziz/u4Gcn3zYf56G5uTxyGeIdyUfCS40UdW8cW2QNX6rxGvRK/ePYC2gP1V51NB1gFNp1hhnW7apOtfe/Gi+Mg9Uq1eW18xtVqBB1kYXN+wlJ/Abqn9UVdaquTtdu3YtX/jm+Dep41Si+33+4pp8X+UA5burPJF5vlye0bx6pvPqR1PlXs3yfVtq3pMDRrX1zC3/39F2TtHtu3Tuj/t36lEr3dem3P26PHb09jfHvykmRduecBCpSqeHV81aDVE2a0WNtQ7DvmZb+HpGdC+2vVTEMpYaV+S/sl/M9idbYxk8j9yQ4VXXSwYsNEdzIMr7qnqhegeW46nWG6fGvTp3Jms6q78NNUlpkoryrbGSon8Xar39Mm8nG5AWfztffFi+Df6xR0qw1iOPF2rTLuW/5d6V96vxTLKs6GQvKtKCP1RtNFobMfW/wtWVK1f6b7DQoVwxmff2406ytvisMo+54rd8qvjwqcjl2pM9Z+eaqToEJ6OV/Ars8zNRO3VM69Cp/RudLtqVK1dSx9C1fzOaPVrEtDxsnM6m+W2hz29uzqbr1vONgzbrUHatTSuHV819r3awc+/K0+OR6exgJrEad1EtRl3zU/mzcqqaXyQNG70udjB4+vuXda52ak3lGrQB6+1a0D0/6GaPyKPPv1UuvMo7W3WXKy83hwMtu1bY9VnFpFhotNI1r1cdc+VTYrUOvt57bxuvNlj12bfP/eG7F/7w3QtdNxjNI7w7GK9tU+BNH5XW6eHWna1zeng2ltP+LmE6m/8Sra3Hg83E93vvvfeqtWoN39zZtEUHWZ99+2OnIjRriKjZCrnR29f/wPAPP/yQL7SOrbL2RZL7Mvu+irJctZVWTdXrr1y5cvXq1aW/6fBmVWs14MsGalZIdpg1qP7Nbx7FlCf83fp2jVH7jN7JNeUdVd5dzWtSSjlV77//fud3WdNfgtZa9QyykmZtmIWja5NTVW1TdR/LD+TX1mcfpnJAWlVb7J46jhNzqrrmsPLS3IGbMZ15Umc8grVmzdWPqfcwp2Ph+z6r5aZ1jWhq3Gnlh7Y/476Pov7KCdZQX8xebq53z+eTyZerz3erXrOup5LspeYEVu2j1TtwOp1Wa3XlypWeeI3qL8GKL0S4XpfO/SmlImizBGudam2qTr7IVlXZqerAqnn/lHdg7d5bZbr91Nefd1T49IO3+2esmrqmz95+exunwZm7BPfXv86vORT1V1GwFtA6yKrpmVHu/JQxjQU2refemH9HnV47mvXMDK5+x7bm7OkHO1+Qpmey/5133lllS1b0+uuvV94L/MvmUcI1az4gaGBV1XNvzL2jdnJP9uSpppikk6fvjPd//NK6zh6xI4K1mJ4FWc2JmPJ4x7KGVs3VDKnx0Grt8nQ6ff/996sLGlZ84HXu/0oxSeVr/D394O2ufjXGYtPq27lz51bZyHU5OR5MacxN7eWQcFWDFoiawDqtulptyB2Yb19Nf27Wek6M1bimuQW5WbVXmV5lVcT169fn3qbal/U+o36a0hcxz+0nWAurzmT99X9+W3u5quYUe7mzvfbaa9vf2pHrGk91KddhdT3NcD1b1fOxycJHJbfu/DSlOz036DpMe+mdBV6VZ6B7P1rYJ4EJ1jJaZ99blzXkC4ZXVdeuXas9B7C5arSpHFiVT8rpWem+Ua3/l10Vm67xpKNrMUsp8jlIzWEt6YvZy/ktVaZRysOWNGwnLB3OkwqbB4C1NQ09z8dMp+ewag8XppSOj48X3qDZgm9dP1fH26oW3bwB2x+3VskIa3W3b9++ePFi7cr+A5Yhr0z18ccf5wtzF1KE1uxXeVaZWvdrS0xb57DOp8awd+1LRsIeTGWha5UEay2q+1h1kFXdnZZ+MGvTv2FHR0fvvvtuURQvnt3skUs531ddDlqd7BtyAtKrV6/m1e3TttfOoUf0VGWCtQbHx8d37txJ3atGxzyHlTd+Op1+8lX7C1ItlIZyYNjqhZNF47VprOb9Vn3sovrR27fvrSrIdzhVf5680rxyzL97SxCs9XjttdfyOKX19DKLfrX+3X7t8sa3HsausVapkpvmQXT122Wt46yvv/768ccfH7IxXVr36k3rymv+Wcq/duWPv9DIsXK371WbWgnWmrUe44z8yOX4+DgfGNaatek/ztWjwv7jwda/BE1DJgfPpqPN/T3Id2O+PGTVRdnfoigef/zxrnF6Gvzozd479J9/XY6Pj69du1abJ15ugfuWh1elvBp7WpGvb61t8+daaLOn0+nSEf/666/zjj3OPwOLrrYrB1/lhdav0Hriw7S735ZdEay1yTthc08esl/tfKLh+Pj44sWLtV3l2rVrnc8rPr3zLLrbHB8f95zKomug13woY2zyuooy/UM+pTbLudAY6tBqlVKazGbBH6cdk6Ojo+L0S4QuOgrY7a/gxYsXuw49qg+DVq9My61+qtxXteW1rd+l+djF0sOrLdzD1QPDNKBB1VotNEATLFbVNZ08xEh+/46OjsrL1WVQzVmkFTe43LGrzdqPYKWUhjSrNgpbdq79gAjW+uWxQ+p9im9W/ehy45QtyMOuoijWvodUd+zmOKu8WfOwccy1yvKPVq53GUKthhCsTSnHKc1VDiE6tR09zeoy/lpl5fF1dajVKta8wW4JFruUg1Wd+OvP1tx9u2v1w0528urBdetoa4n4HnKtkmCxc+Ve3T8SWXERww7382q20rDHAVuze+CpygSL3asePre++nzcWmW1xzG6nlTQtcRh59s/HoLFKJQzPmmp9dw96+DHtrfXBlypYymW+c1WgsWINFdUzNX15M1NPKzJzgkW49I649M1gKqt2yrfNTbZV4LFSDUPnVJjfVb1XeOpQyBYQBie/AyEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWEIVhAGIIFhCFYQBiCBYQhWEAYggWE8f/kJ1JS7ipH5AAAAABJRU5ErkJggg==\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-McB6FiXK2Gs4wWuo9bcsnW\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-XrCa6RXX2HzL9eiKkxvLbd\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">5</h4>\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAGQCAIAAAAP3aGbAAAXiklEQVR4nO3dP4gcV57A8V8XjYLbO3MI4dlZxCCMgrMObtvDSMuucKBwMJ1dsPlFhxFGCEcXXzgYB8sFxqkwyyVGgbJzoNMay8PQbGD7QBxGaK49FyyH0Tgww+sL3vSbN/WvX1W96upf1fcTzfS0Rq2W5qtfvfo3WiwWAgAaJF2/AAAIRbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwdLuRPOv6JQDrM1osFl2/Bqy2M3r2Xz/tBj757V8c+Z9+b+628IqADhCsTVcpVVl+vCgXtCNYXTo5Odna2ir6asNUpVAu9ADB6sbKVIlIxFr5XLnIFtQhWOt2cnIiIkW1sqmS1mrls+UiW1CEYK2PTZUU1MqlSkS+/uGmiLzxxhutvp5f/8d7IvLz9F9F5Hvz21Z/LyAKgrUOLlWSV6tsqlJcuS7v/js/JOXb00m9V2WDJTQLehCsdjVMlfWb7Rd5D5cdQ7eyYq5WFs2CCgQrsvl8vr29LZdTJZlaBaZKRG5vvygoU4WDfrP9SgVLaBY0IFjRzOdz93GSXKrJ7V/mjkgXqbp3794XX3xx/syRiEgiYgr+ZpKR/ebGPVDpddp4ZYMly2YJ2cKmIlhx+LUSL1grU2Xdu3fv9XefuPAUperSbzFKdcr2KzReVx7/S+7jNAubjGBFkKqViCRJUpSqr/7nLZuzi6lq+4UsSxOSqovfJd0sx4SUK9ssVyuLZmHTcPJzU9laScFg9fUPN7/+4aa/tXh7+4Vdolo+VO2vwyxMwVeCvk8qT1k3ki8rvR6gbUxY9dlldWPS1fjNr/479Uj5VOVJiht0IXVM6du/mFV51WluzirqF3MWNgfBqsPtAVxZq+wewIJUnT+2MljZI+AbBkuWzSoZuGgWNgTBqiZ1sIJcbpZfq+Cpyjn/Skmzcs/XaR6sQGQLnRt3/QJ0yHZKiheq/E9trbKp+mp+s+gAq2SUv2G4hrMLy91IvqRZ6BYT1grZVG1tbfmHfTq5x3/a46pSqTLGJEmSd/z6xROzzep2vHJoFjrEhFWo6KyabK1yDqr69hMRkZG4WpmFfP3DTWPMBx98ICIff/xx+e9uD1lw2fr29ST7nDZqZRam+GgJEeYsdIpgFVp5TQXJXVP/5QuRT9zR6iJiRL6e3zTGPHjwQESSJMku1Rcpakf0VF0MdCMxYq5N7svl5bn/+/O/uY9pFrpCsEKVp+rSVCUi9twaka+O3xIRmyondeJOiL//mz9X/SXhjBj3srOpsv72H/45SZK/zP5gP6VZ6ATBCuLXKmf3nzdVWXakevjw4cOHlX6faqfXxJJIYsScz4PGXLlyxf/qzz//7Ap7dfK+3yxhSQvrxaL7CiWXVchOVbJcqCoK1WeffWaPjC++BoO1/jMQjIi8ufeg5BlnZ2f2A9csi2ZhbQhWvqINwMtTVc1USVCQ1tms8w3A8mBZNls0C50gWGm5qXKdknWkyreebOWPV48fP/Y/3d/fH4/HQrPQHYJ1IXSqEpGRyOL8OSWp+uijj2TZKatBftorV/54laqVM51OhWahIwRLJHyqkk5SlRU3XmXBSu0utKvvNAtdIVgXtfLX1M9PqcmefDO62AOY+92yqZLiwGQPx1r7BuPFS/CDlR2v7NH57lO7eUizsGZDP6zh9PRU8rb+Xn/7SbpWo/yDqpzAVJUfM1rxuIaaV0kOey0iywkre+DYkydPptOpa5aPwx3QnqFPWPP53P00Fk1VldbUff5Peeix7SIi8krezT64I0+Dv0Fgv/wXlby594H7xN8eLDnMdTqd5g5ZFs1CdIMO1unp6evXr92nbaQqvFO5kVopoGIl8VoRLMlsCaY+FZqF9RpusE5PT3/88Uf741cvVdlOWUl4pxbyalSnU0UK+pXTLHdou3uOC1bR/sHzX1jQrNxgCc1CVINew8q9VYRNVflC1X9+9n5RrSSkVgsRkVejd/2zeaJ46Y1pVTYhq8k2Sy6fteMLPOtwZ/Tsd/9+qd1/+senLxd3m7xO9M9AJ6zT09O3/3qWerDqkQrVeG9z3KkqxI6kL4lTMmGJyOeffy4Fq1e5tSofsmTVnJV7fTGHbMEZYrByL2jVVqouv7vrT5WTaVZqEEwHq2itPTdYIrK/vy8FK1lObrbKayUEC55hbRKmfzZGl65UlVKypr7axnTKeSl3s3NWkZI9g0Vfyj3EISW1ebgzepas2iimVvANYsLK+T98JF8dv1Vh999CgtabMu/lJqTKZ5uV2R6U7F7CokmqRMiQJSKp4a7k3rHUCik9D1bR1t+HH36Ye9nPyqkqfvM2LVXOjjzzg3V1cl9E7FnNjg2WlI5aVXcXpn61iHxv7pZsD1IrZPU2WCWpyn3+wcGBpLb+7BuTqlXAu7WxqXImk4n72KYqVZ+iIxv8p9mP/UfshCVBQ5b81d/9k4h888032b8pUoUiPQxWK6kKe5MUpWo8Hpds9K3cJCyav6oMWefNkmW26BRW6luwstddqJMqWdaqL52Sy6kKeb7bKpS8MBXlrPzA9yy/WSHPx8D1N1gj+er4rdBU1X0PNj9V2a0/X/mQ5Z4jVW6cEbz0fo5mIVyfD2vI/ow9evQoZ029FkWpKhmpQjJUdV9hyPENvp+++9Q269atWzQL5dZ/s4MWlexyevTo0cHBgT0B8LxWi5q1ejV6d8NrNZlMbK3G43HgBmCu8PsnZl2dvB/+5J+++9R+cOvWrdq/I4agV8G6cHnX3sHBwXV52jBVtlObnKrJkv20xt0PfdPp1O4EtLJPMB7/8fJzp4vQLITo6Sbh8uCpg4OD29svbj9qtAG4yZGy/IUqp2Gw3DcpWufyj29IPafqVqHFtiFW6umEJSIiFyOVNJqq4r6qtbGDT5PNOnvtdtuskqclSRIljsKchVX6HCyRZaf6nqrZbJZ9sOrevXpKWlZpGcuhWSjR32D1d009V26zoijaJHRBzK5k1VvGcmgWivQ3WBVt/pr6StlmNdketOzSe+53c4/nbhI22TspNAsFCJbWkSpXlDmrXuaib3vSLGQNOlh9SpUzm81ctqKkxy6917jaTHM0CykDDVYvU+VLjVol5crdmZj61Darhnrr7j6aBd+wgtWDhapwtlkr9xXaL6WekH3++scrh2bBGUqwhtMp32w2KzpOPVfJM2sPWVH89N2nNls0a+AGEawBpsqptAxfPkZ12yxZjlo0a8j6H6wh18o6OjoKf3LzIyFaRbMGrufBolbWykX3wK8GDlmtzmI0a8h6HixY2SGr6GqiK1ffUzHqZCKjWYPVq2BxUfASRcephzw59aDfrKLvU+NqDZXQrGHqVbBQInAlq2Ri8ts0nU6LtvsCtwdN+tbTldGsAervNd1FhDWsjL29vdzH/Xt2VT2o3T/V2dWq5FYURowsJBklZmGSUdP/Mt3twhp+H6jQt2DJ5WYRrJTd3V1ZzkqpMEU8+cZtDxbdisI1K8pvR7OGg03CYTk6OkpFyn2cey+vou/TcK09kUSWW4VmwbYhQvVwwhJvyGLCyrW7u9veqTYB9yW0hfK62XTb0IgkzFlDwIQ1REdHRy0djhBcq/MPzMI0rJURI5KIGOasIejnhCXLIYsJq8je3l6sRSv7fc7Ozmaz2Y4U3mnN/xXex4lZGBmdbyTWfAELk4zE/u/LnNVvvQ2WiOyMnhGsEuXNKv+S/cDuUkwdMBHWLPGyFSOaNGsYeh4sYchaxa1n+ReiyT0O3r+Iu3388PAw93t20SxjvN2ONKuv+hwsaTZkuZv9tXd/hw1hm5XaY+iqlApZkiRFnUqpuHkYeTmVZvVSz4Mlta4851I1Ho/tUZHb29txX9UG8ncdZmuV3fQLQbMQV/+DJcHN8m/y7v8SdyT3cLLlpi37QZMZk2YhokEEyyrJlj9SZb/qn3oyhGZFV2PXYcTfnWb1yYCOw7q+eJp6ZLI0Xir/DltbW/P5fD6ft/Ya++mlhFxFw/+nGPMYMY7P6pMBBUtEri+e2mzZTolISKesra0t9zHNqiq4We4fJM1CjmEFS0SuvXO/aqoc2ylbLppVVVizhGahxLCCde2d+4Fbf/4+fnvJlJOTk9RN29k8rIpmoaEBBevl4m74jvmiFXo7XvlL7zSrEpqFJgYUrPYwalVCs1DbgA5rcO7cuRNy3m/qOf7BDW4ZK/VNOOghXCenHDoc66DUQCeskENJc59jV69OTk78JS2HOStcrTkr2qjFnKXUQCeser/QDlnlV+m0GLXCdXhYKXOWOgOdsJrYXip5DqNWuA4P0WLOUmeIE5Y0HrLCMWoF6nxJizlLheFOWA2vEWyMCfkOjFqBOt91yJylwnCDVe/qwO6+e0mSBE5PHPQQiGZhpYFuEkqDrUKpvmFosXkYgm1DlBjuhFXObu4VbfQF3o1dLm85Ft11GT7mLJQYbrCeP39e8lW7wVh0z1EJaJZLlf9N3FUiUKLTQ7QMzdpkww1WVdk1r9xmmaXUr/KfTLNWqtKsmKOWWQjN2mTDXcOymqxkWdn1rOx5P/v7++Px2N5k1Nf721s0FLyeJfGWtC7uvsN61gYaerD29vYCdxeWn35YsgxvayXLuyKn0KxyXTRL3M2ovze/bfitENfQgyV5Q1btWyKnsmWMee+996hVc+vddWj8X06zNgrBEvHmLJuq3NuIFgmsmx8sOlVDh4c70KzNQbDO2WZVSlUgUhULzQLButB8AT7L1opOxUKzBo5gXRK+Bh8i8JbuqKT6MjzN6g+ClVbUrJVrVf7mpD0qNWL74KNZg0Ww8rnNQ38ZviRk9gnZkYpmtYRmDRPBKpRdhs8OWfaR8rN8hGy1o2KzYv4V0KyuEKwV/C3E1D7ElZ3y0aw20KyhIVhrRbaio1mDws/PWjW8zCmygk+TFpEk7rVobiRfRvxuCMGE1Q1GrbiqzFmRMWetE8HqDM2Krqts0ay1IVgdI1tx0ax+46elY6xqxVVlSSsm1rPWgwlrUzBqRcSc1Vf8kGwKRq2ImLP6iglr4zBqxcKc1T8Ea0ORrShoVs/wU7Gh2EKMgm3DniFYm8u/XRhq66pZaAPB2nQ0q7lOmsWQ1QbWsNRgVauhuOtZZmFE5Oqv3xeRJEn+MvtD7tNYzIqLYGlCsxqK2Cwj5trkfurBbLYIVlz8AGjCqlZDL+VupM1Dk4iMLxORq5P3U89jwzAugqUPzWqocbPy33/bLLSKTULF2EJsou7m4Xmt3tx74B5yd/yeTqdnZ2dsGLaHf/GKMWo1EWvXoa2V/bt4/PjxeDzObhgiFoKlG6taTVRvVuFb7aZdN22hDQSrD2hWbS0dopUasn71+9+38bsMEMHqCUat2mI1y73/T548SS3AX/njB1F+CxCsXqFZ9TRpVurmb9bjx49ZyWoDweobRq16VjbLFCxgZe+taz/gKIc2EKx+olk1RNk29FffGbKiI1i9xahVQ3iz/vfw40rfmUPeoyBYPUezqmpy+k72PwmGrLgIVv8xatWQbVbIj0pqPevJkyfxXhFECNZw0Kyq/GYVrbivxNJ7XARrQBi1qqqxbZgasvyld879bI53cHBoViVFzXIZmk6ngd9qR56x9N4Q8+oQ2WbxH36gl3L3ujy9Orkv3iaeMRfvnjHGfzNzDyV1biRfcvGG2gjWcKV+zJA1mUzsB+Pxg9QPi//Wpd7G1KfZZSyaVRvXwwKjVprtVPh6+corNOzv73ORrCiYsMCoJXJpmKr8QzGdTrPNYru7DQQLIsP+6XKpss7Ozuodi5Dq/jDfzLbxnuLCMI97mM1muY8XvRUlb1HRl3ILyB7DGggW0mjWynkz+xZNp1NGqjXgLUaOAY5aRXNWrhpt4qTCKAgWCg22WfX+4OFHkKI2goUyQxu1ZrNZpVErpWjyOjs7q/094SNYWG1QzRKR2WxW8kcu2R4sGrI4BToWgoUgQxu1jo6Owp9cY38i6iFYqGBQP4Hhf1h/5vKHLPYbRscbimqGM2oVDVkr//isvreHYKGOgTQr948ZMjf5zZpOp2dnZ9lzCVEDJz+jkd5v9ezt7ZV8NfA0zKI7VnD+c1U9/9eGtvV+1Do8PHQfuz+s/aDhSePUqgaChaaMMdcXT8OfP5lMUucbbz53so5/1o6rVXm1q94QDCXYJEQEO6NnIvJq9G7RE1IXb7EXY9ne3l7Hi4uhfMOwyOHh4Y48K/oqE1YNHM+GaK4vnspIXslFtsqvhDefz7U06/DwMLBZdtpyexjtJeGz2TKLnm9Kt4RgIaqFTN6ZyOVIlaz1zOdzUTJquWb5W4Wp6zr4C16+l3LXb5YR83JR816tA0ewEMe1d9w9GtL/qFauTGsZtWyPdnd3RcQYU+loeNcsZqsmWMNCNHfu3Cl/gj9q5V4HXUW2anO7JhivamMvIdYnZNRazyvpELVqgk1CRBPlZhaKVrUqub54SqqaY8LCWrlDlspPuOvTqHV98ZRaxUKwEE3RPjJf+AjWg2a5VFGrWAgWIlt5caiQIcteE2I+n6s7Jv74+NgskaroWMNCTCXLWO7xwLvRuKdNJpMmly1eg+PjY/dx788G7xaHNSCylQc3SN7xDdm5LEmS/f19/5GNypZ9wbnbrf3bY7A5+N8AkYVcvyF7ic7UYGI/TZ3T0/nmoV2T8i9huL29ncoTtWoVExbiCxmyUrLHkfrjVYezlT3ak6WoDUGwEN/e3l7IUo7dMHSbh36z9vf3x+NxyG7HNhCpjUWw0IqSIWvljeCtNdeKSKlAsNCWwDmryBqCRaTUIVhoUb1mPX/+XFo7PuD4+Jh1cb0IFtoV3ixjTHaqipKt1HFSW1tbzb8nOkGw0Dq/WdkFrNxO+eo1yx15kD1UiglLL4KFNfGzZTf6qiovV8nVplyzSJV2BAuAGhzpDkANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVAjf8HpHPHLBNlRXQAAAAASUVORK5CYII=\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-XrCa6RXX2HzL9eiKkxvLbd\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-7RbatS6Z9qYPMHCysMgDiP\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">6</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-7RbatS6Z9qYPMHCysMgDiP\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-fh8XgGXEM39xeLrAXnKXB3\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">7</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-fh8XgGXEM39xeLrAXnKXB3\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-Jc2CReBdNiDjUZDwq5d2M4\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">8</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-Jc2CReBdNiDjUZDwq5d2M4\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-2ukYJWSy2Mqkmw5Vs2ftYc\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">9</h4>\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAGQCAIAAAAP3aGbAAATxUlEQVR4nO3dzYsc553A8ZrGGBwFnYzRxIsQxiCkk6wdW0qCD9qrPPiyGP8DezSL2XNOPgsTcvR/4M3FKMJHHYyyljJMBHsQBrMEE3tM8GmwYzCmZw+lKT1Tb13VL9X16/58EGbU09NTPZ7+6nmeeumdk5OTDCCCybo3AKArwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsJ4bt0bwOa4uPOgdMtXJ79dy5awqXZOTk7WvQ1ElRbqVzf+a+b9v3l4p/hYy5iDYNFb0akukeqoaJmQ0UKw6KrveGophIyUYDHbKoZUi/j888/XvQmsh0V32lTX0cfg5s2bmWxtJcGixjg7VSJbW8iUkDPyVP3yyn8Ut3z/5KP0DiOZFZbI1pYQLJ6qpqqQNmucwcrJ1sYzJdx2Rad+eWXdm7Iwk8SNJ1jbq2VIlWXZ+fPni4+/H2iLluPmzZuatakEa+sUC+pdUhWUodamsoa1RboPqUqOj4+jLGOVaNaGMcLaCnOnqrhDrFlhwVBrwwjWJpu5oL4Bs78urGptDMHaTAsOqTaPodZmEKyNsg0L6osw1IpOsDaEIVXu20dPr+5w4Y36PQOGWqEJ1ia4uPNguFTtLPnxesmvNjPpsA1FuWoZagUlWOFdvXq1uqa+kiHVgKlKr02af+v83Qe6pKqLbx/duTSpP8H7b1MX3hovwYrt6tWr6V9XOPVbQa3KVWr+pvO+V0rxddPuX9MUspycrZdgBVaqVV+1vVjFQaGzw5SqlLF/rapf0fIYNS17ePTqjd0va+9d5Gx69oDrh9+8Uny8u7s7exuZiyPdo6rWqtfwKo3Ib/745p///bP0s9VsfXO6JPSrhsXs6sP21jCI6xysZb5n3cOjV1o++/qFMzlLa5X79cv/V7rF0GwpBCukpdTqN398s3R7mq3SalExDikFa6FCFWbNN1tS9OSH612+w5Vzj7tvTqE9W7nptH6+WW1WCznrSLDiqZ0Jzj28qlVd255mWXaSZaeDr+V0KtXQrC+69aiL+ZqVzcpWU7Amk/rMNk02SySslmAFs+DYqtClOEW2pqv/HXn+T7/733+7t/JvM2+2pifTv3z7av2nzgZrMpkUtzQ1q6qpYrJVIliRLKtWuZZmFWtYyx9JnfX8n36X/nWczZqenCZpJ8uy7C9HZ8rVNMLKugVr5oBLs1L2Eoax3FplzZO7wa4eU6rVqCUz1teTxJTilWqv1Y3dYoWr6W5PO3hp8kCzCoIV1fnz54+Pjxc/8Kpmh+CKR1WxTLNpyz6BPF4Pv27dpXgauEm//ZjP7qxZBVPCGJY+vCpZV6Sqg6xxzgoL04ZjUEvNutG8i7BntrInP1zLsuzKuUPNyoywQlhdrbZzMHV8fPzw6JVkUtZDU25+/fLfsiz7n68vZa21yrJsmk37NivLsic/XP/xxx9feOGFvl+4YQRr7GprtchkcDsjVTg+Ps4/mHmM1e7u7sWs3xvK5tlq79E0m3ZvVj68KmiWYI1a09iqb622PFK5IlVVt27dyrLs/v376Y1HR0czH3OOYdocwysKgjVei88Et7NTtetTXY5ZL5T6lf711q1baddmPux8E0+aCNZIzV2rWJH66a0P+h7ccOXcYfMnhxi8pM0qtSyrDNMWLNqVc4/NClOCNUZNtWpauooUqZ2np/jU+umtD67stPRo/e7fv5+HqelTRc5ahmmpXkM/BGt0WsZWaa1GG6kXX3uvdMt3f/3DmUOZzjbrp7c+GGKzWpVaM1P3ezZ9eXa2ZS1dW8rRdhvD+t+4zJwJfvPwTv5nwI3qoVqr9MZJ8af5UMwBzlucKR0izX3PmZ9KdfleZEZYo9J0BEP6rsu9THYmz86DW7FSqiaTSXpuyoW99/9x8OHZbRtFm7roO/7qqPsDlgZZ27yMZYQ1Ut8/+ej7Jx998/DO3LXK0rN2B1SkqnRW8Et775fvOeBF4ofZWzffgKt6t6or5w5b9zZsC8EahYs7D/LhVd6pRSK1Fs8mfa1n/FabNR5LmQYu8q1TTQ8uW4K1Zhd3HuRvKRixU7lqre6earn0ytMvWeubhrXo26++D1L9VPv3ephcFmKbmyVY65F3qnij5haTnRj/j/Ja5Z0qbqw2qzLIivHsZvbLqvkwYvy6bIwL77zTsVOJNaxDdZcPr4paVe+QN6tuqJXvMFx+kacn09o/r1/4svhT+4X3799Ph0ulv3a0rGUsBaxlL+FwLu48eD77z75fFWVXWm2tik/t7+9Pp9O8ay/tvf+Pg98v/h3rfjJ1ca+bdb7efp3P5JGLKyOXWpbeveVo0o5WtCNy8wjWQHqOqmIohlcttcrlzWr67MzDL1qqvZJVsJ1n5WtL25mu1eesfYVr7kht7SX9BIvlSw9rSN+UobtqoRYOU/vEs7yFnaapM7tW09mP0jezaErb4kO2TeWKo0PYtuFVEazSAVn7+/vFnsTSrLBmhLWTZf0XWZvGYguvlC26ktj29XXbXH2TntLbVRhhwZzSQpXGU9VsldRPBvuPp9oX+/LvskC2unxhW5Tavj55sm1DNkMLwWIRXVavUnfv3n377bfTWxqXrk76Nav6/s+Xf1FzsNL0ZLrKw0QWjdqMhzj7A7k4eTZs/2prRlsOa1i5C++8s+5NWL70zMHSBLBJ7Wfb8tF5QFH7bvVf/LP+LaPXcrpSYtLhT+8HujR5cGnS93CZkARr5Z7/796HMkRU9Kjj2x2/tNfpx7KKuqy7WTPNWbTJTnZpsuHNEizmd/fu3VKe8oWqYv9glvQr/VRq5iCrvS61w6tc0yArvoWGZqFtxZNkFdJUNS6on94+x5ENZx5nkS/eIpMohxnPTbBYvtK+wvTjXov0WfZsJWsqW91s9kqWvYS0qT0Gvfayok/vP5m0rL43HUTa/UKD+Z3SR7/8i8MlTv3yd0Jt2n5vgbN2gkWblo6UwlTtVGnRar5D3uu/df6A+X/7H7HVsmr2/vttV+y6eXZ/74cfPr2G6ngC98U/r9cez7ExBGsNXnztve/++odnf299I5nRunfvXv5Bcbxo+4pVe63muJrzzHvXvnQnO/mX1ifm448/bnq0dyqHp7TXLYsQuHAEa2j5fCr/73ePn2ZrXBc433l63Gb+HsW1Ham+5JoOZ28/zL2TWQeRXj53+EW3A0eT4Vh1cjlDS8ualBrXN3DZaeMEriBYg8o79dxzT3/s6a/heJo1ySbTbJqdZNPOy9zFfDBdw6oex7DEWWHJ5XOHWZYV2arWqmHmeGZjHh69uru7zK3q27i+g7iHR78/26xptskHc2SZYA2pOFv47JWhPqzeM391ratf8x1XmTar9g4zDyhtmxV2O1PncnHt4LFeebldx8C9++67LZ+9/IvDr0429kwdwVqt0j7mvFb37t1Lr1uQnW3TaC9z3qQYT6XHi1bvsKg03z1/RB2//Y3dL4+Ojno98nQ6ffnll/ttzapsxVEfgjWQF197Lz1VuDgNuDrImp7Ea1bWulY18zTD3maOPc/+ANNtat+OG+1XIq1zMfssfYeILpaSuTt37pzOB8/8zDd4eJUJ1urMPH7vk08+Ob10wWSyU56IRfznsmV9qmnwtSqlotVdvyW3lA0aJnO7ZxfYJpNJ9ddks+eDmWCtSG2tuh/kvRm1Kh1E2vBWFIOojshOE7bgBi3Su76Zu5h9lp19v6+SiL82fQnW8lVrlc8H848bd/+XlpzHscewo5YDr0o7ENsfZ46jseY094+3ebI5t17Vq83c08042fD5YOZcwsHkFzYozYk++eSTrPZCK5FrVa1SerD7QNu0OicL/6mYLvzn6YZtASOs9agdZw03vlix6rFXxRpWaffoNlpKWYqBXvJoGz+8ygRrMPXX29zQl26xelV645wFdxf+fefNpW1iB/9y8tmQ366fSvW2oVaZYA2j6VU6eyVrrPoun/c9xn3gNq1oG0advJgEa+VefO299KU69A7+lbl9+/ann36aVWKU7hxMn2a1WS1XSb6Q7dXe/vPPP1dvfPz4cb9NH8qCyeveuy0ZXmWCtQpfnfy2tKMwv7BB9XosQ2/ZUlUvfVW9bl/pPstawBptoZZrZu/yom1PrTLBGlL6em6pVZRZYcnMEs28flYXW5KqjrYqVTnBGlS6Gr26SxesWn4xr5f+tXFC16VEGzApnsPXX3+df1B6f8ZcMeFt6fLF7EGWTbfzbZ8zwRpSHqnSu8iEU8xTXsquZ5UnVXuJ5PyWxeeDBwcHi3z5MGpPn+74/7q47tDeXv0S3qNHj+besM0gWCtRWsaqXitqxnuOjmNW2L6Gcnh4uL+/X5xv1DTFK47D2pgh1bVr14rz2Od7UhvzoxieYA1q8UWcFVl8F37TGvx4nuOyPH78+Pr13hfJSw8V3t/fb7pb007k6XQaYoC5aoI1qNI7jK5lVrjEQ5yKQdbMeW7tkk0v43m5Fs/x6OioY5HT/9czBtfzXv5wSwjWqlQPbqju8s9WPM4a7PDLYiWr9kTC9tWrsR2Y1vFfkb29vd7vsZhlWevwqoXVq5xgrcFSzlMpWeOh4fkgK119L58jOdeYIrXE4dUSR7W7u7vdB1m58XQ5KD++FSoOk6kdRLQv8bS8d97fd96s/lneVvdzeHiYnY4apqfSO+zv7w85853OsqxvdHBwUOzLm/mwxR0MrxZkhDWc0pnAXYzhlLqO0j2G6Y3tXzVzeDKdTvMmprfMt4WrUDzrpieSbm37Ql766zHAckFQOycn23EdnfW5fv36vXv3qpffzG/puxqdH1s4tgO+2/ea1R6WlX7c8soc+eAiH2R1WcxqWchrD9PIfwIDE6whHB0dlY5xz28vZlId/yEdz56ykqOjo9u3bzd9tmno0ZSqYlQy2ueb2tvbOzg4aH+7nfx/9BzDJbUqEawh7O3tFec/Z8kvbvuMqfpiXuML+Nq1a/k4sekO+d7A2k91eaGWzliaTCaBXqv5OKspW2q1RNaw1mbmWkzL0GM+iyyIdJmE1u4izOrKWx1epScAxKpVdroAn55Pky7JNzETnIMR1kCKWWF2urA6x7l16/0lzo88apnf1Y6w2iNb2gURYg7YpL1QLQt5VWrVxAhrUC27CKtL0aU7rP2XuH2lpvt8cO1PZEXy2tZmq/u/TE7BaSdYA0lPYald7ul+avQa5YdK9hosbJs0N3t7e8W539V7FvPi6hfSxJRwOOnJHLXzwfHv3U+fQuls3o7NGskTISgjrEHNd6DzeORrycWhkvmNTU/KyIul8/s0nOqYv3jNpx+UzpGeTqejGpUcHBykheq1z35UT4SITAmHli7KdlkMGueLvMuzKH0wzidCLIK1Zm+88cajR49Kr/8Qr+2O5VUrlkiwWI68X3Z7sVKCBYRh0R0IQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCOP/ATk/R545DOkGAAAAAElFTkSuQmCC\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-2ukYJWSy2Mqkmw5Vs2ftYc\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-RBexDKqQkuR9VR7xwtR88r\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">10</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-RBexDKqQkuR9VR7xwtR88r\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-mXBt96M63tnAyRzDDDahNT\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">11</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-mXBt96M63tnAyRzDDDahNT\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-DpNDWqDX8jp2zjTKo2bpXR\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">12</h4>\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAGQCAIAAAAP3aGbAAAYGElEQVR4nO3dvYtcV5qA8bcuhQNjFBjhXs+KxgwT9CqZsmi0eITBjCJhC0UzO7mZyBj/BRM5HhYjHJlJHXgjo10UKdI2izSip9lkOlqMsF0rY8QijANR3NrgdJ0+fc69535/vPc+v2C21F3d6p1pP37PqVv3LLbbrQCABsnQPwAAlEWwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKhBsACoQbAAqEGwAKixHPoHAJT5xe9/bx+/tzz/J+jLL78c4seZl8V2ux36ZwBG7R92hfLXI8nZB95LLnyGcnWHYAEZbKRe+bdPROTl7z7Lq5WIvPfVV/7X/+EPZKsLBAu4YH9xlPlxv1kXp6qMZol8maYt/mAQggUYeZ1ynTcryXi1imb1gGABpWplbH73WWatROSVrz4Rkd/IjfBTZKstBAuzVj5V1uZf7rp/fOWrj3cPM0Jm+0WzWkGwMFM1UmUli+wP5z3/N3LjP7cPn24zhi9UQrAwO01SZeQESwqbJQt5mpKt+ggW5qV5rYzCISvdpiIi3tO2QrOaIFiYi7ZSZeQFK92mNlJl3vj2DfGqgmBh+tpNleEGy9tOr/EGXbJVEsHClHWRKsMEK/7KX7Rc/iefyo2UVxKLECxMVne1EpFkUVCrs6eV/NjON+k7NX+geSBYmKBOUyUSbKVHJZE/ZaFZEdxeBpMyqlQZKbedaw8TFiZihKlyJfY/SmDIysOEBfU6T5U0rZUwZ7WE/w6hWx+DVeNaVfVW8l99/5VKMGFBmT7mKaPtTqWSJowIzbCHhVFz8/TaP/3RPPjp7190+7d2NlJVChY7WSGChdExkbJ58uitlVQMltCsAMHCiFy9ejXyWdWpMmosCWmWi2BhFCafKqPeHhbNsggWBhZPlXRcq28X716Rh919f0/tTXeaZRAsDGkmg5XV5FVCmiUEC0PpOVWX3/74x78592LvPVVGw8saaBbBQt96WAO+/uuP3D8mF8+5+fHkrgyk+XVYM28WwUKvwlpdunTpxYsXly5dEpHvH/25yTe//PbZATbhjaWS4Gyu5yd3peiGVu1q66rROTeLYKEnmYOV6dSLFy8aTlU2VcZyGXsLx2azMQ96blbi/d8GZtssgoXORVIl7U1VUtQpj8lWb82qelesQvNsFsFCtzLXgPZxW7VyU3Xv3r3MJ9++fTv84Gazeb7b0uo0W5Vul1zSDJtFsNCVTgcrCWq12Wzu37/vPsHsZHm7V2G2NpvN85PPTa+6a1ZLb3pOXj34UER+Pv3L7iPprA6wIFhoX8+pEmeqipzjYMsVNuuHJ5+Zr5ZumtXWLRpePTh/f+U8m0Ww0LJO14AS1CozVeFrgvaz5lNes3bBEpH2D65ppVZuqqwZNou786A1V69ejdTq+0d/7q5W4kTKq1WapmmaJkkSVsx64/CT82/T8EfskVkeiohI8lbS123CBsWEhRaUXQMuJBFJ6/7GRWolwQyV93ETL4kNWZK2ty7sbryyZjVnccdRNBJPlVyslWzrl8Ctlbe/Xub80bz5q1P1/qb04td6tXrw4IGI3Lx5U86fYLfhk7eSo2k3i2Chvmqb6w1G+Xit7OgkOeNV1UglkjQfsmrUKg0ev+bUyqQqz6sHH86hWQQLdVRKVbKovwx0mZVgOFvZLSo7atmKSb8jlfWtvFv4nH15aAuVBK9O2lTFO+WaQ7MIFqqpsAYUEZFkkaTbRtOKGa9Md9x9K1OlzDZFauU+P6L2kFUmVcbT3TOvOOUyTK0iqXrw4IG7KgxMtlkECxXUumShhVqJSJIkXq3sx/O+NnM92OnAVb5W3le5NxF87eCPZaaqeTaLYKGU2teCtrUYzKxV7l8afcWwi2bVS5X35Vfk4WvRFwQ9XrN+PvXeQD7BZhEsFKi6BmyRGa/CtzSXLI53HUOZFxNraJgq71sdyEGz7+GdMD21ZhEsxHR92XqEexuGvPczZ3LD1GmtWkyVdXp6enBwcPPmzcJVobcedMarKTeLYCFb1+8HjHHuX+yNVyW3zO2T7eN2l4FdpMoqbFa4dRUsBifbLK50h2/ANaBN1eXV+YVXlcYrKXe70bxbzYjI85PPz79V8IpBp6lyHRwchMHK3GUPamV5/19P4Tp4JiycG0OqXOF4ZR7ExyX3gizvC99//325eCWX99dtNpvXVx/JxWwZvaXKOD09NXmKvxqYXyuZ5JzFhIUzA25XhbUyE1bmi4PenlT4OqC3137r1i33CaZWmROWZUctM2H1nCrPwUHuNvxPp19IqUvq3afonrMIFkY3WGWuB92h6Z9/8T9//d9fhV/o7nBFxrF4rQzTrJOTk8Jn9iCzWT85s9V8msWScNaGTJUUHA7orQfd7mTWKk+9rXezPFytVmNoltmGt3/8KVgGpsXNcp+ieG1IsOZryDVgOfZ4Gym9geU+OUmScD1YZrwyxtmssFbGTJpFsOZo4MEqyq4HJWd3PFIu762FzdlmyQiWh6enp+47eEJzaJai2yuiBXk3BW33vqCts/djcGU+zTywT3CTV2m8spbLpVmcmmwNq3D7v8TVse5T9N2nlGDNyOhS1errPe5e1a1bt5osBvNoaVZRthQ3i2DNQjhYuamScexYufKWdfFDcfIGq7wLr0pyt9JUNEum2yyCNX2Fm+tjq1WeMu8HdAcr93Hz8cparVaDZ6utZu2OsVDTLII1ZfHBasyp8tpkL14vv6HuTlUt1sqaQLNMrXQ1i2BN1vivWqiq8L4LZqTydq8a1spdD1onJyeDv2goIt/Ku21sw2tqFle6T1P8fMDef5yoi5ePupe5y8VzUguvWrCpsuNV89nKC9YYOhWKX+4gWYNJeHTY7riw1Nxz8el2jFc8cB3W1GhKlRRc7O4K39JcqN2V4DhTZXg3WQ55l2hlHnRoz7BIFmm6lf3k6On4rtJiSTgpmmq1KFWrSHQy+2VfE2ylVvYdhWOulVFjbfjgwQPvDjZ2bZgsRERGuEJkwpqOvFp5R5kOr9xUFa7+zJAVWRXWS1XkG46/U64yc1bheTznc1Z7x1+3iGBNQXGqZBy1Kr0AFOf9gLdv37Y7WbZZeV9Vvla2U3m1evLkSYUfdxzizXr03S9FslOVd9etsb19h0139UrVagxK18ruu3tvwYncerTeAjAyW2mslZXZrEff/TLv+Vn3XP6LXUSOKlhMWLpl1qqjg5frqzJYubxrr2yV7t27V2OSCg1yKHQPwjkrUivZjVcXh6wxrgeFCUuvMqmSNg5ebqRWqtwbNojIcrls6x4MJb+P6vHKss2K18plguXednlU45UwYSlVslYiMlit6k5VIvLjyV23WZnHdtVQ8qqIadRKzCmHZ7f9Kz5HOnqI9IgwYekT1uqnv0dOIuhdg1S53GaZIcv+MfJOncJ38MSfMJlaWaZZkZcF8883lFRkbJdiESxlvFqNK1XSWq0sN1u2Mu5FpDUGrrxmTa9WVnhoWOGJYamIbEd3vTvBUmNuqZLdxZDu24zLn6tadfE44VoZtll5q7+fT7+4sGYeX62EYA1ivV6LyJtvvln+S0Zdq85SZWU2K7yjQ+2/bvK1MgpPDDs31rcTEqy+7S+OHn1/4VWbwnK5tZpbqlw2W3m3SJYqZ+TYEWwmtTIKTww7Q7BghMGSaLNsreacKiuyPLRKnk5ozKpWhteszNlKRlkrIVj9218ciUiZZs1ksKpxrrLNlnuJltsm9140efelmWGqrNwTw8ZdKyFY/TPBkqJmzWGwanIEfDhqZW5pZa4Q55wq68Kl8EEDCBbO5TXLBsvUilQVck8MPDw8lJyrQ+2ERapcV+Rh5vvhR1srIVhDsc0SJ1vv/OM336TvjKtWbe9VtZWquGvXronI8fFxD3+Xale2/tukx1wrIVjDstlKFmerlVcPPhxRqrZtBqufVKESL1gjr5XwXsIxsLVKt+koamXvnNVSrUiVCuOvlXCL5GHZX5FXDz4c8p4Klr1tcXupolYqqKiVMGGNwfCD1UAXVWEktNRKCNaw3K33YZCq2VNUKyFYAxq4VqRq9q5sH+qqlRCsQZAqDK7qIY8jQbD6NmStSBVERG2thGD1bLBakSqIiOZUGQSrJ6QK9bhvP2pCe6oMrnTvwzC1IlXKrddrc5rZZrORBs2aRqoMJqxukSrUYO5Ja5nbUVQdtabUKYsJq0MD1GohIpK0egwmqerNer3e29t79uyZ+WN4WGzJUWuSqTKYsDoxbKra+m0lVb1J09RMVbZWmZbL5WazWa1Wec2acKoM3kvYvkFqZf6HbDFV1KoHaZqmafrdd9+t1+uSh2i4y0NrXx6ab9XFDzkqLAnbNI1UtfSdEGNGqiRJ9vb2MmsVrgc9Znn4/ORz8z/+2M6U7wgTVmv6rtVCkkWba0Cmqn64o5BdCdZgRq3XVx+19pNpwITVggFSJSJMVaqYMO3t7XkfkawTfQrHK2s3Z92dyYTFpntTPdcq2V2y0NZU1ca3QYw7Q5k99RY3m46Pj839oGeCYNVHqhDnpsqdrcLPusqPV8auWbO4gT1Lwpr6rBWp0iWyLWW22L0PukvCqrV6/Phxpedrx4RVWeupShZm6zwJ75KcONesN68Vqepa4Q56/DIrFCJY1XRQK9l1KvU+bjVMFZ3qWplX+rwlobmUwdvMYrwqRLDKaidVC0nk/IwcEUl3K/JkcT5htbUGJFVdW61Wy+Xy1q1b9+/fL/9V7oVX9kHVWs0Te1iltFUrET9YnrYGK1LVNXutubkearPZxJtlJ6zMVWGNWs1wvBImrEKZqXr912dX6yVJ8uPf7hZ/l+D2Cd1tV5GqTnnviRGRNE2TJDHZiiufKvM9a/2AE8eEFePV6vLbH9vH7u7D8//+XPL+WwxSdXbNp/N8UqVL2KwkSUxfCucsV5qmd+7ciXw20qx5jldCsPKEg5WtVfjv0pcvX4rJlhE9NjmRRCR1tq7OP1W7VqSqZw2bFU9VGQQLF+wvjl759z+9/OBTiabK9cOTfzUP4t2xwSJV2rnZssGyvv76a+8jzTtlzLZWQrAy/eo/fmsevPzgU1OrzI1Vb/fBBKswPcnF++uRKtXcZi2XS7NR0Pr2k7s8nHOthGCFMmtlU2W3rswvUNisMgGyv871akWqxsZ9xdA2Ky9e9TbUzVfNvFZCsDy2ViJy6U//JyLL5fLevXvmI+F7VpMkcZv1w5PPRIrf2Fr7FsakarRss9wYRcJUI1vUSrisIU9YK6PEL1lxjmrUilSNmfk3mblrgnlceJUDtaqHCeucHa8yaxVO+PZfknbI+uHJZ2efau8UCFI1ZuHQbW/2YpaHZm2YmafCDS/7BGplMWFlK5yterh/Nqkarcj/+sfH57d5OTw8lJxtLPdxfNqiVi6C5TPjlVerTN1di0yqRqvSv6iePHkiIoeHh96c5f0xr1nmy+EiWGfMetAuBu3H836Z4rVKJKm3KiRV49RkoLbZCr+P+e1yb9tgfq+YqvIQrHMvP/hU3v44/rJgd0jVOLX1O2Cydf369XDUch+TqjiCdcZedeXWKm/3od3FIKkaoY7+XUWPGiJYF7iLwbwqeRsQ4UuE5ZGqEZrDcaR6ESwRkf3FkTdeZfI2GpogVSNEqsaPYJ0rc7GfOQWzSbBI1djQKUUIlsjufgzmTErpZqNKSNX4kCp1CNYZ98XBvOuS7SvQ9he95N1CSNWo0Cm9CJbsJ0eXV+d/zBuvwlMDPG8cfiLnR4ef3cyPVI0KqdJu1sHaT45E5PLK326Pv/8rvlQ0G2Gvrz4SkZOTk1Z/XtRHqqZhpsEyqbLCW4LEa2UeRE46MdkytxwhWwOiUxMzx2B5tRInTyUHq5L78WRrQKRqkuZ+lFCZPabMy6/iB8m5/7Qsl8vlcrlarcKTC9C6dGfoHwSdmF2wvPEq85g57yPhPFV47GX4JXbaIlsdoVNzMMclYVyNezNUxSKxXXRqPgiWiHPJqJR4HbDGqeLeX4FW0KkZIlgiJd6UY9WrlYfZqiFSNVsEyxcZr2rXyo5XpKoJOoV5BWt/cZR3grwRuWS0Uq3Cb0KqmiBVMOYVrJLC3FSdrdwv587cTZAquGZ3WUMeL0nuPyeRT6EjXE6FTLM7lzBzVXh59bHZd/du4BcOVpHXEL1PmT8yXlVFpBBBsM68ce2Twoutqt4ni1qVR6dQxiz3sLbiNsu8O+fbY7l27VrB4V0lUtXwfqQzRKpQ3iwnrJ1vF/4bCc054+Ehz1UblKapewIwMpEqVMUscMHx8bF3T1Gp9b4cahXBhjpqm92EJc6QFU5YVrg8LD9nsXWVh0ihoVnuYZVgRiSTLfuPWWTT3eaMWoXoFNpCsGLcbMmuSpnZ4gqGTKQK7ZrjklB2q8LIkjDT4eGheeDd0o9UhUgVujDrYEn1ZiGOTqFTM10SPt3ekIuXOKAhUoUezHTCsvYXRwxZTdAp9GnuwRKaVRepQv+4cFSebm+kaXpl+3DoH6QnzU/B4LJPDIUJyzfVgWu9XpsHt2/fNndArXpPQSKFwRGsbFPKlgnNer32Tqsuny1ShZGY6auEhZ5ub4ikqrNlRyojclSi5GSLTmFsCFaMyZZoG7hsqsyl+eaP3nhl2RODVquVzda+zGVHD7qwJKxg/Nnypqq9vT3z4NmzZ1LuzvSbzeb5yV3z+Jv0Rts/INAIwapshNnyOuWy73ysdI7GZrPhDjkYIZaElY1qnRhJlYjs7e2ZvfZK3/Px48fNfiigK1yHVd+wF3Ct1+vCWslur72VA6uBwRGspnrO1mq1Ojw8jKfKQ60wGexhtay7daK9Qt3ck+v+/fslv7BSsFgPYszYw2pZFxdweW+mSdPUXotQiPEKU8KE1aHusrVcLjebjRmyIjebt7UqeUN6xiuMHMHqQ+vlSpIkSRLvnGpXjcGKWmH8CFZ/2s2WuV+znbOsNE3v3LlT4xsSLIwfwepbi9my95hvjlpBBYI1mFbKFZ6fGCrcwKJW0IJgjUWl69Hd+ygcHh7WPvNVqBVUIVgTEWarDGoFXQjWdFy/fl2Cm1hFKkatoA7BmiC7GW+uiQ+bRaqgFMGasuvXr3sDF4dUQzWCBUAN7tYAQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQA2CBUANggVADYIFQI3/B5ViRfzmGHlRAAAAAElFTkSuQmCC\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-DpNDWqDX8jp2zjTKo2bpXR\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-g7CSG657apFdCDrTAQnR8F\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">13</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-g7CSG657apFdCDrTAQnR8F\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-chm5To3JQ7g9wCykoorsJZ\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">14</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-chm5To3JQ7g9wCykoorsJZ\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-Rx7CzftxfPV8cB6gXd7Sje\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">15</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-Rx7CzftxfPV8cB6gXd7Sje\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-Cs7AsMaWsptEcx3oEgbjEn\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">16</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-Cs7AsMaWsptEcx3oEgbjEn\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-manZnAzPmK5T2fpFn43tdr\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">17</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-manZnAzPmK5T2fpFn43tdr\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-Xw2QTBi3qTgpGg5R3F5SAE\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">18</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-Xw2QTBi3qTgpGg5R3F5SAE\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "        <div id=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-Z2fcEynGgmmJk4yHP8Sqpx\" class=\"ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">19</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
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       "            <a href=\"#ipyplot-content-div-SWfBFWbkv9BXxgKXZ8Sb9A-Z2fcEynGgmmJk4yHP8Sqpx\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
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       "    </div>"
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
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       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">0</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-XHuUm6SKWdTSreMxiHaPG8\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-ZqKrbskYn3pNr6dX5Grcij\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">1</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-ZqKrbskYn3pNr6dX5Grcij\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-mnys3E9zf4EGHXB9hhivoh\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">2</h4>\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAGQCAIAAAAP3aGbAAAVEklEQVR4nO3dTWtcZ5qH8bsOzTA4RitjpKQRwszC9lLd+E0dGPIRJkYh6+ClMSGfo2lClsbrIcY9HyEMOLLbwjS9ciswGGG6razFxIRZnJrFozp16rzVqarz8vyf5/ph0opcLh3R1pX7PnWqajKdTg0AFCRjHwAAtEWwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGb8Z+wCA6OwlL80stfRdejD2sYiZTKfTsY8BCNZeclT+5N9/2TezGx/9Lf9J+tUGwQK6tJccnaYHlZ2qt3BmhnI1IFjA+txyl5M23rxwyrh844UbnKZ31zuqgBEsYGWbdaqs8MeLXTtl4JohWEArpUjZxp1quKvynyVbZgQLWGp2QiqLSIedKsvfOaNWEcECqi2eOE967lRZWnm3kZ/YIliQsTu5KMi7ab+DxiqP8fV66XV1s2IetbhwFHpcufrI1m5y1K5AwzxFxH2VtPTl4n2CChMWZJydnd3++G3+M101a3dyZBOz5SUYqxTlZkU6ZDFhIXa7k6Nk0nwTHyaaQrN8OKQRMGFBSbdD1rJzVV5FoXw+K8YhiwkL0ZHqVEF5N4wLwUIslDtVKdlNjmJ71iHBgpKdnZ1X762wFTZrcY2CRKoqLgSTOO5uESwISybJXvKy8lrKUDpVlt8KRb+F9XHSHXqyK0iTyfwn1mUr3E45sZ96J1jQc3Z2trOzY8UnJA/81JlRpGb26uzfbu9kSzHBAkTkglVXqzA6lcm+zST3qYhe8I9zWNBz8+bN2YdPzCxfq+1b35jZz8d/GvyghhH7qXcmLMjIdWruw8nj7GNXq0yg2aoYsuJ5CQeCBd9VdsppqJUTdLMSM3v5z727n5zGcyaLlRD+akiVtaiVmW3f+toCzdars2u5U++xYMKCd5o7ZYupsvpa5YXVrHi3QoIFXyztlJltbW39fPzH/Gfa1MoJsVnRbYWshBhZm06Z2dbWlpmtXSsz27719dJmvbODXVvpLQXHlE7T/KWzMWDCwjhW6pSVUmUr1irT0CxXK5FmpWaWTs3MkkkSz5DFhIVBrdopZ5PBqqDNnKVg6ZtihIlgYQjrdcrpsFaze6hu1q4dXbr+lZ2YSe2G6bTiHHyoWAnRo006Zd2tgVX3XD1kSW2F81TFsxUyYaF7G3bK6XywWuqdHRT+VSJbtjBkBY4JC11qeWlC8w36G6wWv0pxyHKFcj/8l288+HDypPMv2q18p169v2ZmwQ9ZTFjoQCedcoapVSU3T/1j8ulvp89PTk52pYas2x+/dc0KG8HC+jpZ/TIjpipzUagl7/rlKdesu5+cjn0gPSJYWFm3nXKGr1XD9Q1ap97L9pKjULdCgoW2+uiU+TFYZcqF0srWbMgK9knRBAtL9NQpq0qVDVuryiErG68GO4weBPsOYAQL1QbulI06WFXKtkKtIcsJ9RJSgoUFw3cqfwMfmqU/XjlhJovrsGA2aqcKhm9Ww1bonqzj8wVZlZeMzh4rDPCCLCas2HV4CVXeqp3K/0Ef5qyM5xdkJZMknsvcjWBFy7dOFe5k3GZpnbeqb1aAp95ZCePiz+q31JDNat4KJeKVb1bAz4VmwoqCUKfy9zzuBVnZS804nmcrP2cFvCQyYYVMsVMFgzWr+YIskTkrTWc/zaEOWUxYAQqgU/mvOPo5eJ3dMEkm82YFiWCFI6ROFb76KM0SvSArmVy81vvsWdBBXZDFSihPpVNZdNa422GCFcCp9+yF3tNpmFshE5YquU5twofF0PE+WxdvTpFMzOZDVjiYsPT4fAlVprkv632tvptV+WozWaF05qyF96QIbMhiwpIx2Ku7bMiTUWgNLV8hy/tmXQxZr86u3d55G9iQRbC8tjs5unzjQZtb0qmelC/IUnF7539yZ9wDOfXOSuip4OcpP7dCC+WCrNkH+U6FsBUyYfkl+E5Jk9sKzdJgZiuHYHmBTvlM9IKskiSA13pnJRyTSqfyOmyW4laoMF45YW6FTFgjUOxU5ATfnKJyK5RfDwnWcOhUwfatb9Y4+LEuIvW+UK2ob4XyxZVw8+bNlrUys/Pz8zY3+/n4j+7XBse1Dt0+trd96+u63yrshkMe1eoufrpfnYXzjtBMWD1qH6nCVHV+fl43Z8XQCz8pFKpa4YIs6ZchJVjdW7tT+c+7OSu7Qaid8nYrrLvqXTdbGemtimB1Yy95een6Vy1v3OYslbuNn53y56nIY9F5xDC0C7II1kb2kpfZ48cfTh63/FMfejse9EqhUG0IX5AVQnSHt5ccuV+5q13i0uHot96wNsDs2fLUe9+HgTyCtZpZpxCpyguyRjmS1pLcP+ef3NX8a0ywWsmNVPDFWCf4sneEHuWrd0X0J5+n5ixRE6mL/7sbtoa1+XmivRJP0xHZDSvPuEs+TYeT7tXqhynR/zKhM2pXNgR1mpUfvwX1q18y+4VeyJ16d9n67fT5petf+T1eBYWfQDPPOiV0iZPQ9tqTZJKcnJyYwKn3Asl90CIP1uadqnsJcIRN4byVE9Q+aNEGy595Chm5rdC4IGtwcf1wLhupfMFW6D+FC7Jqxyvducujn9JefXx4+PHhYenTHYxUbIXREnmRGSv9DU91X60h8GBtHx5uZ6lK8q+76NdIVRbnkKW4Fdric6H7PpLN6Y5XFvB1WNuleerfnz59YY9GORgEye9Cpdn/LP6XWXi8slCvdM/X6rNnz7KPX/R2ZrSPS95N5wxRt/Og3FXv6TQ1s39MPvXp1HtqF7VKFj+rHazQJqy95OjX+9+6j/OpQq+ifYUsV6jU7DcT784wlFc/9VqZ5+dxVuIe/nO1+uzLZwPXqqdT73FWQMs7O8jXyo8lMXW1KoxXpr9NhRCs3cnFlQq/3v/2sy+fffYlg5U2rVPvbsjy5oKsNKvVT7/sL/5G+m7qQ0w3Ih+s3clRMjEzu3P4XZCpUhmyVE63BSqd/Zpvgjc++lv+FurLoKMdrKxWRZ9XfK6/M+4OF2TFoPm50O7jAbfCeaeyf3eK59qn0hczzAkHK1+rO4ffjXos6JjKXFkw4FaYNlxQVVgGzSyAZdBRDdbibJWYWfLF0/EOp18qP72Rb4WuUz3XqjhSFX7PzH76Zb+wDJ6md/s8pEFJBmt34s/VLgvYCmPQ0zV3jZo6lffTL/s3Pvpr/vYh1coUg3VRq9x4defw29GOBr1ZY64MbsRr2ymbXdF+46O/LnwylFNXGb1gOe6406ml09SeLl8G+z7j3je2wpis0KlM+Sf5ND0I5tRVRixY2TKYTi1dvAou/T735ME/D3hMi9gKO6SS6Y6s06my0/TA/erkmHwjFiz4b8QhSzNwa3Sq+rVGAu5URum5hN6eax/G9q1vWLgCssYkVT1eBB+pvBAmrBfT57W/Zc/dryGPh62wQ5pDU4O156nii/C5/4mqVhZGsMzMnXfPn8b60Z7/OGynkGESLFnv/NSSl5mMrVamtRKWVT4v58fPKztV+ea3YtgKBXW2+mWu7D98/fr1ekejTvVnOJlU1OrF9w9//I/n+dfQGOsqFLbCDmluhV2tfnNX9h+epndP07vR1sq0Jqx304PSVaMX/mLP0++HPyLU6vAl/aSGyk3+Ezl7DauS2dXq8XYqoxSsBmmrVyZjK1Ti7bdZNT53OMrPsxXz6ldHM1hTSycL7Ukmi82azqewsSr18/GfxnjSmTxvO1VlnU4t/Qt5Zf/RrFPUqkgsWPOtsMEkhJeCDcCqW+HmqWp/D5utq2t1atl/RK/+/uvj42Mzo1MNxILVSlOt2Aq9M8r3UvdFOz/Bv3Twz81Tx91+6SDpvc1X/rx78Vq6wreSOzefVH7Yv3t2YGZvb93q9m6FglWXAIlvoXzwLQ+76aTq7K/l1Xmq0JbshDWteKxwLvStUHfI0jrs/NF2NXxd5RTVBvSC1eo0VpNBt8IXdnTPi/d9GllPndowIufn5x9OHre88YbfwtXf0akO6K2ExlZoZmqjSuc6P9l0fn6efdy+YnWyv4e5TqEDysEys0l9sCbFtTGwYFmUzer7qvd8tpyV4kWn+qa3EhpbYXyG75Tz4eTJ4ieqL2ioehIyteqFZLDyCu2ZX0Ga/XPsK0ida8fHfQxZwRsrVc6l61+VmjUX4YsljE48WI2PFRYvfw+O7mOFS43bqcybN2/2kpflz5OqsagGq81W2FgrtkIfedKpDydP0mnq3sEhnabJ5OI9T+jU6FSDlVe7FTpshQp6TVXLTpnZ//79cfZOM2dnZ7c/fmuzN8sK7x1oFOkHq/kK0tCpb4WejFT5TtXZnRzRrNEJB4vHCnV50qk3b940/O7Ozo7Z246OCN0QDlYeW6EKH1a/5k7lvXp/zW2FDkPW6IIIFluh91uhD51qs/fBc9rBYiv0nA+dslVGqoKdnZ1X7y0/ZGFc2sHKYyv0ig+pWrtT8FYowYp7K/QHnUKvJJ/8XJC9eMNar9xQ+ree3bOD8J4IHXansguyjKuxxhbKhFXFz60wsH2wv1QNcIpqVdRqdAEFq/RWOuhP2CNVwc7OzrvpzjBfC81CWAlNbSvs4+2/hlkJo+oUPBTQhFWlcOGfJ1uhotFXPzoFC23Csooh6+U/F5vlwWuQ9vQGq30MWaN3yrjgEzmBTFhaV5D6/6bQdAp+CiRYDZJksURshY1GTxWdQoPgglV6rDBN0+KZrEA1PKnQvRR5Q51H7xSnqNBGIOewnLrHCtudxir9W8+Geawwe9eEuu+tp1TRKfQhuAmrjXC3wmzIyr+7S+U3OG6njFRhLSEGq7QV3v0k/H0wU/1GVDOsfpAW1Epo0V9B+r7mHFZidun6g62trW6/nNEpDCvECauKn88r7FZlrS5ff7C1tXV+ft5tregURhFosOJ7XmG5VpevPzCzUTplpAr9CG0ltCi3wrpa2SxYG05YdAqeCHTCqhLDVliw+XjF6gevhBusaLbCPpZBOgU/BbgSWkxbYctatVwJefYMPBfuhFUlsK2wq9mKU1RQEXSwgt4K29eqYbxi9YOWMFdCC30rXGm2KgeLTkFU0BNWlQC2wrU3QToFdaEHq3ErLMYrOFmhSBXCEOxKaG22wknxHVj93wrbjFftT6I7POoHFaFPWFXmg1X2T5GtcGmtVkoVnYKcCILV/FjhZJYt7zXUaqVOvXnzZndyRKqgKOSV0ALaChueLdgeIxXURTBhVdHaCjes1YeTx+4DagV1cQQrlK3QaVmrrFNAMAJfCU1/K1x1vKrr1GnKeAV5cUxYVSS2wva1olOIQTQTlq09ZA3ZrtRy7xPRslaVqUqnnLFCgMIPlgk8r7D4Tjfbt75ZWqsPJ0/q/nhqZgQLIYo6WLasWffsU/fxCzuy7tW+I1f5N7Ja5TpVfXN2QAQspmBZ2yHrD7NO5XXarOY3Dyze4vL1B1WdKt6WVCF4BGv+8R/+a9apz6vvZ+NmLe9U+Q8kyxbSK/sPX79+ve4hAUqiCJYt2wrvffGdmSVfPJ1/tuNmrZyqpSfO6BQi5MnD90OZVpQjya5m+P5w/tk/V9/BPVtp7Upnv9pLZr+qXf39o9P07ml6l1ohQpEFq87Tp8tvM9OuWat2avkfdJ06Pj5e626BEMQSrHUe468ZsqypWauNVPUvHzi/nyv7D12qWt4nELBYgjVXtRX+xZ67Dxa2QlupWauNVO6myaT2Blf2H52mB6x+QF5EwVoyZK2yFTr37GCNkSqdFbPyz8w6dUCngLJYHiV0Gh4rNLM7h9+5DxYeLrTaRwydF7PprKWLNbB0VT1XUQFLRTRhzVVthWb1Q1b9Ymhm/zfL3KrH4J50fXU2Uq1zJ0Bk4pqwbNnzCu9NPrXDQysPWVYxZ/1w/352J//y7NHSL50/xX71d49Y+oBVxRssy42XWUqyYFl9s364f798t0ljs7L75wnJwCZiDVa9ZGJ3rCJbP/xnRaecf61JFYse0K3ogmXLmuUuNcia9d9p7SOAdAoYGMFaULgw6tf731berDJVdAroG8G60HAN51KkChhGjMFyitlqeFudGnQKGFi8wbLKUatFtugUMJaog+W0zBadAkZHsCpkCeOyKcArBAuAjCifSwhAE8ECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGT8PwGUSWd3VriVAAAAAElFTkSuQmCC\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-mnys3E9zf4EGHXB9hhivoh\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-aL9yZ4NoiYdRgr5v3XKBND\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">3</h4>\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAGQCAIAAAAP3aGbAAAXdklEQVR4nO3dsYscWX7A8V8XhQP7okWwllcMy3Fwe4p6B6GF0yk5RQsWExgO4/xCBYtiR/4DHAyOLl0WB04aedhoomGCk8XQYNButByDhvaaRdFdYopqB2/m6fWrqtdV1VXd9Xvv++EwrdZo1Obmvvq916+rZuv1WgBAg+zQLwAA2iJYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUIFgA1CBYANQgWADUyA/9AoBUHGWX9nF1UihFrssn+3w9Gs3W6/WhXwMQOTdVrqYFTnn3P8rrNQnbQLCAETWlygjsyHz3l+Nf/vWV+wzxEoIFDOUXZ7+1j//7t2e//JurwBdbWXO1vvvL3GuWJJ8tggXs5Gh2+Vf/+c/uM//39/8is1Z/NlArq1yX1SeTzRbBAnraJVVGm2AZ1/Lkwfqi5vnEykWwgM6OZpf3Pn9Rff6n5Wmn79M+WM3KP6X03iLBAto6Pj72ninLMss2otO+WUPU6vZVpNMszmEB29lU5Xn9/2SKojAPTIRqtp02DVcrEck+zS4TaRbBAkJMqvI8XywWtV9wcnIidyFzsxVo1qC1sn9hElgSAjVMp7Ise/XqVfgrTbCsoijeL0+lOVjv5Kn3zJGEzmq1lsTCkAkL8B0fH5uRKsuysty6vPN9NH/xfnlaO2RVayUi1+KHplfCkhiymLCAD9xUmWe8YJnnzV57WZbeeGWYheH75an7J2tT1VLLfv1x9fOPP/6499+iAhMWIHKXqrOzM+9dP69Q9snA5JXneVEUH81fmHcMd0mVYUewgRaPijFhIXVmu8pLlS2U93/dL6gdrwwzZC2XyzFecCBb0Q9ZSax7gSa1g1VTp0pHoFZy96bhfD4f4zVX97ysr776aoy/cTqYsJCo2sFKnLOgZtHnrf4CW1dVRVGMNGRJ85wV95DFhIUUNe1YibNpZX7p7VW1r5Ux0pAlzXNW3EMWExbSUh2s3K109ytrt9U71cqeI93znBXxkMWEhYQcHx9nWVZbK0/1NMPJyUmnWknz53jGFvGQxYSFJJjrK9SesaquCqUSrK6pshiyhsWEhfgFalXLWyT2rpUwZA2NCQsxO5pdiohXK+/UgjhDlvfO4C6pshiyBsRJd8TJpErqaiXNG+3uM4PUCsNiwkJsbKqkUiup27eqnrcaNlV2whKGrJ0xYeGQ3Lj8+j+e/vs/dL40QtN3E5F7n7/Issy7jlV1VTheqgzz0cLBv22amLBwSF5ipO9dFarfx1xzvbp1JZu1krsJq5qq6uWPAwJf7NWKIWsXTFg4pOv1E681R7PLrs1qqlX4ugv2l01TVftadf1i9EawMDntm1VNlcvdt3LfEDQPnj9/vvMr/aD9ODafz0casq7lSXXI+uL+D39cSTRDFktCHF6PhWEgVfYGXO4ZqMVi0TRJdVr6df2zTbtX+7zyTEyrQuZYKHM0u2ys1Uzc+5i6R0MDu+nep51d5koygRcTPoa651pJwyeiv7j/w48//jjS37hnBAuHV52nPs1qktQ+VZY9dbX1M4O1n3w27yEGX7vU/vGA8WqVApaEmASvRJlTH3MzmFCqPOsPbxEGDojuYutKsDaRe0tVxAtDgoWpaGpWGfgJrZuqZC0ijc3yrs4udXvzTR+Hbl+9vR1lqBVxsFgSYirswtA8KNe3/6nXsAa8/S2HXdaZqae2Vu7x96YqtfnUtPld72j7/teAEe9kcawBE9LqNENTp+pUx6LqFUSrG1W1f8o+s3UxaB+zXTU4JixMTted9fqvFBFn091OT+Exygh8IjqgKAr3wgyHrVWsQxZ7WJiQ0EHQLoOVyMbWu2xbx3nbWN7v1l6IxvviPVxDpqumnSwRxedIWRJiEsJn1vu4C1xRFHmee4etmu6EGpikvA8kul886l0Ie2s++P7zg7yeQbAkxIGFTle5uq8EzI2Xpe4AZ/Wtw9rvUJ2qvK13uwycWq2Mpjvr6F0YEiwc0vCD1Z138tS9R3z1nUF3UOp0SstWzKZqmrVq8sX9H/ReQJk9LBxGz1S128lyU2XvDOhd+qr2Nl9Ne1iyuSSc8lRVVV0Y6t3JIljYt/apymYikpVrZ722LVhuqizbLLsBX93DahqyvKto6UqVUbv7/ut/PP3mm2/2/2J2RLCwP12nqmy2eXA0WKvaVBnu7ZerF8mqPfXu0psqK5ohiz0s7EnLWmWzTGa3n8v5UKvgCSxvu6rKq4y7aeWtAau77+Z8vOpa1VK6k8WEhdF1WgOW683BqtcasMobsqpvDla3t/Zz84i9ieMDhgQLI+q+BnR2rAZKleU2Sxo+Fy2VISuCVBm1wfrNP/3b119/vf8X0xvBwih2Oq8wdKosr1lh0aTKimDIYg8Lw5tmrTqJr1ZNXr58eeiX0AETFoY0/VRtHbLiTpX2IYvPEmIY00/VVnGnKuDly5dadrKYsLCrUVMlI9SqOmQllSrVQxZ7WNjJ2IPVGLOVl6ekatVEy04WExZ6Ur0GNENWsqnSO2QRLHSmbg0Ij94zWQQLHZCqaCgdstjDQlsat6vQyfR3spiwsJ3q7So00ThkMWEh5Pb6xV1vAGG0uMkNtZqaiQ9ZTFioZ6Yq/zIvLbFdpYS6IYsJCzWOZpfZzFw7oWOt2k1V1GrKpjxkMWFhA+8DpkbXkMVnCXGLVGH6mLBAqlJXO2SJlH8q629reEBMWKnrX6vud9wCdsSElS4GK1hahiwmrBSRKniu5UmlWf4NhKaAYKWFVEE1zmElZKftKmoVu2txV39THK+ECSsRDFZoZ6KdsghW5EgVepvajrsQrLhxZAGRIVhxIlXY0TQXhwQrNqQKg7ie3npQCFZMxt6uEmqVjGmOV0KwosFghQFNc7wSghUBUoVhTXa8EoKlGqnCgI7kQkytJvzxYoKlEttVGM/1eqLrQSFYGjFYYXAqxishWLqQKoxtyuOV8OFnLW5vt9VDu88tC7VSbj6f7/gdpj9eCRfwmz62qxDmpmq5XPb4DkdyYWo18fFKWBJOnLndVufbAgqpSsWjR49EpCiKXb7JlM8xeFgSTtTR7PLT7FL63cSUWiXg5ubGzlZ5fjt59FgYmu12FeOVsCScIDNVyTj3WzZIlWo3Nzf28cnJiX1s5qyuq8IHciETPtruYUk4IXd3h89EpFx3nNOZqhLgpqrJfD5v3yy7e6UFwZoKu7lOqlBVm6os29jSyfO862aWlr12i2Ad3tinq4RaadZmqrJMs1oOWbeLQT21EoJ1WKQKAVtT9fz58+qTneYsLVtXFpvuh9EnVTORNalKwmq1Mg/KsnF/wN1u97TZfX8gF+pqJUxYB9FzsKJWabC1Gk+ggxPHhLVXrAERUJuq2rgExiujacjSmyqDYO0Ja0AEBKaqamK21kqcs+9us7TXSlgS7kH/VAm1it/WBWCWZW5o2tRKKlvvEaTK4KM549rPYEWtNFqtVi23q+x5q5a1Mq6urkRkPp9HUythwhpPY6pmIs4/FBufv+k4WNEppTptq5vcZFlWe4ghNQRreOFUuT7UilSloes7gKZWnQYr6/Hjx1dXV8fHxz3+7GQRrCGFFoBNJZpt+4IKaqVRv1TtPliZZpnlYQQI1mDaD1Ybv8X7gLG7ubnxPvQXZrec+g1WcSNYA+iRqtuPyHPtqtiZj9eUZdmmWSOlKprxSjiHtaM+U1V31Eojey3Qs7Mz80xTs3qcWmjp9evXA363KWDC6s/W6t7nL6q/+9PydPe/glRpZC77aTKU57k9SNXvg4G9xVcrIVj9VFPV41JEYaRKKXuRYrsMNLvmi8XC+0q2qHpgSdiNlyrTqbOzM++HryiK98vT3sf1qJVqtlkmWJ123IcS5XglTFidmFrd+/xFnudFIXZvQkQWi4XbrPfLUxHJut+PhFTFxCwG3ZVgOF61e/NtNuxbbupHgGC1YlMlctsp7xNeTdo3i1RFY7lcmiGrKIo8z7fWxH5B7Ze1KZH3NbGOV0KwtnLXgGdnZ+5PRlOz/vfNv7q/bNMsahUx+3Nif3i8hG2dqjoNUBHXSghWgJuqPM8Xi7PaHzh3Y7UHUhUlb8gyPyTuP2/2cW2YvDxRK4tN93qmVu9mT+fzuTdYucxPWFmW3u3h3m+eaaidsEhV9Eyz7F1O3Uh5s/kgO1DR10oIVpU3WL169cr7gup4X31/2muWFyxSlQj37cLqkGWF/zmUdkvCFGolBMvlHluv7lgZXq2keTHoNsv9IaVWSXHvJu+9XVh999ANE/tWtZJ4K7SNQK1qp3fzdnV46+qj+QtxasWV9mB5P1TVfwjb/CkjnVoJE5ZUUlW7DDS8fxK3brSbs+8/LU/pVMrcIcs8qL4JKL22sZJKlZH6hOXVSkRsrbwjf4b9qWrztqD5Ab03r/mkIdJhbwPh9sX+aFUfuKpP2mcSrJUkfqwhvGn1xd/98F//8wvvj3S9AuTgnzGEarWzVYC3t2UepJkqI9EloXdZmKYtdlftCYY22tyGF3F7IBdm0L66unr06JG74167++6yP3iJp8pIMVjhWjX99PS4urb9h5FmJcv+OJlrq5tr6T1+/Nj9rUCz6JQnuWBt1Gom9+Z+rZr+iet0lr36fWhWaqrLPbdZhrnIX5M3b96M8cJUS2sPq1oraf6El/s5ia6fvKlWj82sdDTtTFUvVUySukroXcK//d3vbh/NbmuV5/m3335rv8C7GIjd5hzwfnD2HW5EqfadZQwooSXh0ezSXmrd1GqxWFTHK3ePc/BbV7IwjBWd2o9UJqyj7NK7MYStlflX0b36gvnhG6lWwpwVF6aqfUpiD+so23xbcP7Cnjk2vLcIx7jYNj/T8eG/0/2LPFheqqTu3Hn4ugsttbmqpPvL+XzOwlAvUnUo0Qarmiqren2i3UeqcK1q3x+kWRqRqsOKcNM9kCozXnnrwbE1nWagVrqQqimIbcIK1Mra5y1GamtFqnQhVdMRT7DapMpoCtbgIavWilTpQqqmJpJjDe1rZXS6Um0/1Eo1DitMUyR7WO2DZd8lDN9nKaDNIObVilQpQqemLIYlYdfxynA/Iu+ebm/zB8Nf4NaKVClCqqZP/YTVo1bekBW+jWXXu4fbWpEqRUiVFrqD1W+2knYLw65X2iZVGpEqXSLZdO8tcL1aey+56m9Vn6RWGlErdRRPWL3HKxF5J0+9G8a1n6S4OF8ESJVSyQXLveOWe2Ne+2Sbe8PZHXpSpQ6pUk1rsHavleHdTDw8anm/WxQFqVKEVEUglWAFbmVabZYE5yx7pJBaaUGqoqEyWO61Q7dqc9flNs0yT5IqXUhVZGI4ONqkxw3izfRktuHtXpU4P/ekSgtSFSV9E9btnW+2TVhda7X1ssWkSgtSFTG1wZLGZvUYrIxAs6iVCqQqepqDJX6zeqfKqjaLVKlAqhKhfA/LxLb1BvxWy+XSNotUqUCqkqI8WPKhVruPVxapUoFUJUh/sIZGraaPVCUrkmANOF5hykhV4iIJFqJHqiAxBGs95KY7JohUwYrielhreSAXh34RGB53goBH/4RlMGfFhU6hVizBQixIFQKiWBKKiMiDNatC3VgAYit9wbpePzn0S8DASBVa0hesAIYsjUgV2lMZLIasODBYoSuVwZLmZn322Wd7fiXogVShH32Xl3HZS8387Fe/d5///vvvD/FysB2dwi7UB8tLlUWzpoZUYXe6gyUiDx8+9J45Pz83Dz755JO9vxzUIFUYivpgyWazbK0MmnVYpArDiiFYIvLw4UMvVQbBOhRShTFEEqzVatX0WzRrz0gVxqP1WEN7Nzc3h34JqeCwAsYWSbDu378f+F0OZ42NVGE/IlkSSsOq8NmzZ/YxBx3GQKewT/EESzab5abKolkDIlXYv6iuh2UWhqvVqrZWGAqpwqFENWG53MNZf/7uD/bxu1kq99dZrVZffvmlDHrjMlKFw4pqwnK9fft246b2dx6sL6Jvln1jNM/zoigG+Z6kClMQ7YRl1DZL4p2z3DMcJycn5kFRFLsMWaQK0xHJsYYmTVehie9Sf6vVKnB6dj6f9/ieHFbA1EQerIBomuWmKstu/wu145WI5HkuHZtFqjBN8QcrcHnSCJpVO1XZbFmmWW2QKkxZ/MGSSC+pHFgDPn/+vPpknufhIYtUYfoi33R3RbMBH9irKsvSXQx6zDuGtRvwpAoqJDFhGRFswId31sO1kobNrAfrC2oFLRIKlmhuVjhVIlKWZXXrqsrdzDqSiwcy9f/HAVdCS0JL19ow3CnD1Kp266pWURTvl6ciUorIOs49PkQprQkrbGpz1tapyuhaK+Oj+Yu+rws4mBSDNf2DDi1TJX1rZRaGNAvqRPtZwrDr9ZOmheHBtU+VbB4Q7cR+zJD1IBRJccIyJrgBf3Nz0/KCzjvWyri6utrljwP7l26wZErNms/njx49avOV5nhnlmU71sq4x6oQqqT4LqHnsG8a2lNReZ4vFgvzuPaAgj0tNUiqXr9+vfs3AfYs0T0sV9N+1thXzgp8UMY9VOWe6hwkVUKtoFbSS8Kt9ny7HbdH5R0RMQvAoWoF6MWS8JYdsn72q9+7z4963wp3yLJn0O3CcKRCMV5BL4L1gXsZeOv8/Hy8e0e7wcqyrM1na3ZEraAawdrgNuv8/Nw+3k+zmq5a1fJzgm2+mGBBNYLle/jwoZsqaw/NyvO8mptOtQqjVtCOYPkCB8330CyzMBwwUha1QgR4l7CDlsfQe7AX1bPvDA57/U9qhTgQLJ+5fXSTPRx0sEcZzKi1+zekVogGB0fbevbs2ajff7lcuhvwpAqoYg+rnruTVU3VeIezvA148zi8n9W04UWtEB+CtUXt4SwZp1mmUMfHx+aXboa67sFTK0SJPawt3r59W/v8sFd0cLfY7VVf7GaWVFaIgQXj69evqRVixYTVip2z/vzdH9znd/90dFN63DkrMF6560E6hegRrLYGvwrN1m1106yrqyt7qaymcpEqJIJgdTBUs/q9A+hmy3yHN2/e9Pg+gF4Eq5vAleDbZItblgK7IFg9dS0XqQJ2R7B2Fb77DvekAQZEsACowTksAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGoQLABqECwAahAsAGr8P0M4KEL2B3kWAAAAAElFTkSuQmCC\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-aL9yZ4NoiYdRgr5v3XKBND\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-mdroE4ap9DbXfXouj6PpEE\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">4</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-mdroE4ap9DbXfXouj6PpEE\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-3J2BMToZQJCrxeBXGGX9wm\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">5</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-3J2BMToZQJCrxeBXGGX9wm\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-jo3u7yEKkc2HSi37PBM9ZU\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">6</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-jo3u7yEKkc2HSi37PBM9ZU\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-a9BjRHLwKoJarSVa3xvZb7\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">7</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-a9BjRHLwKoJarSVa3xvZb7\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-UnQhUkJsMMi6QRf4cNL7Y7\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">8</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-UnQhUkJsMMi6QRf4cNL7Y7\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-DwSxwRYcrVGy24tTsaFMNw\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">9</h4>\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAGQCAIAAAAP3aGbAAATxUlEQVR4nO3dzYsc553A8ZrGGBwFnYzRxIsQxiCkk6wdW0qCD9qrPPiyGP8DezSL2XNOPgsTcvR/4M3FKMJHHYyyljJMBHsQBrMEE3tM8GmwYzCmZw+lKT1Tb13VL9X16/58EGbU09NTPZ7+6nmeeumdk5OTDCCCybo3AKArwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsIQLCAMwQLCECwgDMECwhAsIAzBAsJ4bt0bwOa4uPOgdMtXJ79dy5awqXZOTk7WvQ1ElRbqVzf+a+b9v3l4p/hYy5iDYNFb0akukeqoaJmQ0UKw6KrveGophIyUYDHbKoZUi/j888/XvQmsh0V32lTX0cfg5s2bmWxtJcGixjg7VSJbW8iUkDPyVP3yyn8Ut3z/5KP0DiOZFZbI1pYQLJ6qpqqQNmucwcrJ1sYzJdx2Rad+eWXdm7Iwk8SNJ1jbq2VIlWXZ+fPni4+/H2iLluPmzZuatakEa+sUC+pdUhWUodamsoa1RboPqUqOj4+jLGOVaNaGMcLaCnOnqrhDrFlhwVBrwwjWJpu5oL4Bs78urGptDMHaTAsOqTaPodZmEKyNsg0L6osw1IpOsDaEIVXu20dPr+5w4Y36PQOGWqEJ1ia4uPNguFTtLPnxesmvNjPpsA1FuWoZagUlWOFdvXq1uqa+kiHVgKlKr02af+v83Qe6pKqLbx/duTSpP8H7b1MX3hovwYrt6tWr6V9XOPVbQa3KVWr+pvO+V0rxddPuX9MUspycrZdgBVaqVV+1vVjFQaGzw5SqlLF/rapf0fIYNS17ePTqjd0va+9d5Gx69oDrh9+8Uny8u7s7exuZiyPdo6rWqtfwKo3Ib/745p///bP0s9VsfXO6JPSrhsXs6sP21jCI6xysZb5n3cOjV1o++/qFMzlLa5X79cv/V7rF0GwpBCukpdTqN398s3R7mq3SalExDikFa6FCFWbNN1tS9OSH612+w5Vzj7tvTqE9W7nptH6+WW1WCznrSLDiqZ0Jzj28qlVd255mWXaSZaeDr+V0KtXQrC+69aiL+ZqVzcpWU7Amk/rMNk02SySslmAFs+DYqtClOEW2pqv/HXn+T7/733+7t/JvM2+2pifTv3z7av2nzgZrMpkUtzQ1q6qpYrJVIliRLKtWuZZmFWtYyx9JnfX8n36X/nWczZqenCZpJ8uy7C9HZ8rVNMLKugVr5oBLs1L2Eoax3FplzZO7wa4eU6rVqCUz1teTxJTilWqv1Y3dYoWr6W5PO3hp8kCzCoIV1fnz54+Pjxc/8Kpmh+CKR1WxTLNpyz6BPF4Pv27dpXgauEm//ZjP7qxZBVPCGJY+vCpZV6Sqg6xxzgoL04ZjUEvNutG8i7BntrInP1zLsuzKuUPNyoywQlhdrbZzMHV8fPzw6JVkUtZDU25+/fLfsiz7n68vZa21yrJsmk37NivLsic/XP/xxx9feOGFvl+4YQRr7GprtchkcDsjVTg+Ps4/mHmM1e7u7sWs3xvK5tlq79E0m3ZvVj68KmiWYI1a09iqb622PFK5IlVVt27dyrLs/v376Y1HR0czH3OOYdocwysKgjVei88Et7NTtetTXY5ZL5T6lf711q1baddmPux8E0+aCNZIzV2rWJH66a0P+h7ccOXcYfMnhxi8pM0qtSyrDNMWLNqVc4/NClOCNUZNtWpauooUqZ2np/jU+umtD67stPRo/e7fv5+HqelTRc5ahmmpXkM/BGt0WsZWaa1GG6kXX3uvdMt3f/3DmUOZzjbrp7c+GGKzWpVaM1P3ezZ9eXa2ZS1dW8rRdhvD+t+4zJwJfvPwTv5nwI3qoVqr9MZJ8af5UMwBzlucKR0izX3PmZ9KdfleZEZYo9J0BEP6rsu9THYmz86DW7FSqiaTSXpuyoW99/9x8OHZbRtFm7roO/7qqPsDlgZZ27yMZYQ1Ut8/+ej7Jx998/DO3LXK0rN2B1SkqnRW8Et775fvOeBF4ofZWzffgKt6t6or5w5b9zZsC8EahYs7D/LhVd6pRSK1Fs8mfa1n/FabNR5LmQYu8q1TTQ8uW4K1Zhd3HuRvKRixU7lqre6earn0ytMvWeubhrXo26++D1L9VPv3ephcFmKbmyVY65F3qnij5haTnRj/j/Ja5Z0qbqw2qzLIivHsZvbLqvkwYvy6bIwL77zTsVOJNaxDdZcPr4paVe+QN6tuqJXvMFx+kacn09o/r1/4svhT+4X3799Ph0ulv3a0rGUsBaxlL+FwLu48eD77z75fFWVXWm2tik/t7+9Pp9O8ay/tvf+Pg98v/h3rfjJ1ca+bdb7efp3P5JGLKyOXWpbeveVo0o5WtCNy8wjWQHqOqmIohlcttcrlzWr67MzDL1qqvZJVsJ1n5WtL25mu1eesfYVr7kht7SX9BIvlSw9rSN+UobtqoRYOU/vEs7yFnaapM7tW09mP0jezaErb4kO2TeWKo0PYtuFVEazSAVn7+/vFnsTSrLBmhLWTZf0XWZvGYguvlC26ktj29XXbXH2TntLbVRhhwZzSQpXGU9VsldRPBvuPp9oX+/LvskC2unxhW5Tavj55sm1DNkMLwWIRXVavUnfv3n377bfTWxqXrk76Nav6/s+Xf1FzsNL0ZLrKw0QWjdqMhzj7A7k4eTZs/2prRlsOa1i5C++8s+5NWL70zMHSBLBJ7Wfb8tF5QFH7bvVf/LP+LaPXcrpSYtLhT+8HujR5cGnS93CZkARr5Z7/796HMkRU9Kjj2x2/tNfpx7KKuqy7WTPNWbTJTnZpsuHNEizmd/fu3VKe8oWqYv9glvQr/VRq5iCrvS61w6tc0yArvoWGZqFtxZNkFdJUNS6on94+x5ENZx5nkS/eIpMohxnPTbBYvtK+wvTjXov0WfZsJWsqW91s9kqWvYS0qT0Gvfayok/vP5m0rL43HUTa/UKD+Z3SR7/8i8MlTv3yd0Jt2n5vgbN2gkWblo6UwlTtVGnRar5D3uu/df6A+X/7H7HVsmr2/vttV+y6eXZ/74cfPr2G6ngC98U/r9cez7ExBGsNXnztve/++odnf299I5nRunfvXv5Bcbxo+4pVe63muJrzzHvXvnQnO/mX1ifm448/bnq0dyqHp7TXLYsQuHAEa2j5fCr/73ePn2ZrXBc433l63Gb+HsW1Ham+5JoOZ28/zL2TWQeRXj53+EW3A0eT4Vh1cjlDS8ualBrXN3DZaeMEriBYg8o79dxzT3/s6a/heJo1ySbTbJqdZNPOy9zFfDBdw6oex7DEWWHJ5XOHWZYV2arWqmHmeGZjHh69uru7zK3q27i+g7iHR78/26xptskHc2SZYA2pOFv47JWhPqzeM391ratf8x1XmTar9g4zDyhtmxV2O1PncnHt4LFeebldx8C9++67LZ+9/IvDr0429kwdwVqt0j7mvFb37t1Lr1uQnW3TaC9z3qQYT6XHi1bvsKg03z1/RB2//Y3dL4+Ojno98nQ6ffnll/ttzapsxVEfgjWQF197Lz1VuDgNuDrImp7Ea1bWulY18zTD3maOPc/+ANNtat+OG+1XIq1zMfssfYeILpaSuTt37pzOB8/8zDd4eJUJ1urMPH7vk08+Ob10wWSyU56IRfznsmV9qmnwtSqlotVdvyW3lA0aJnO7ZxfYJpNJ9ddks+eDmWCtSG2tuh/kvRm1Kh1E2vBWFIOojshOE7bgBi3Su76Zu5h9lp19v6+SiL82fQnW8lVrlc8H848bd/+XlpzHscewo5YDr0o7ENsfZ46jseY094+3ebI5t17Vq83c08042fD5YOZcwsHkFzYozYk++eSTrPZCK5FrVa1SerD7QNu0OicL/6mYLvzn6YZtASOs9agdZw03vlix6rFXxRpWaffoNlpKWYqBXvJoGz+8ygRrMPXX29zQl26xelV645wFdxf+fefNpW1iB/9y8tmQ366fSvW2oVaZYA2j6VU6eyVrrPoun/c9xn3gNq1oG0advJgEa+VefO299KU69A7+lbl9+/ann36aVWKU7hxMn2a1WS1XSb6Q7dXe/vPPP1dvfPz4cb9NH8qCyeveuy0ZXmWCtQpfnfy2tKMwv7BB9XosQ2/ZUlUvfVW9bl/pPstawBptoZZrZu/yom1PrTLBGlL6em6pVZRZYcnMEs28flYXW5KqjrYqVTnBGlS6Gr26SxesWn4xr5f+tXFC16VEGzApnsPXX3+df1B6f8ZcMeFt6fLF7EGWTbfzbZ8zwRpSHqnSu8iEU8xTXsquZ5UnVXuJ5PyWxeeDBwcHi3z5MGpPn+74/7q47tDeXv0S3qNHj+besM0gWCtRWsaqXitqxnuOjmNW2L6Gcnh4uL+/X5xv1DTFK47D2pgh1bVr14rz2Od7UhvzoxieYA1q8UWcFVl8F37TGvx4nuOyPH78+Pr13hfJSw8V3t/fb7pb007k6XQaYoC5aoI1qNI7jK5lVrjEQ5yKQdbMeW7tkk0v43m5Fs/x6OioY5HT/9czBtfzXv5wSwjWqlQPbqju8s9WPM4a7PDLYiWr9kTC9tWrsR2Y1vFfkb29vd7vsZhlWevwqoXVq5xgrcFSzlMpWeOh4fkgK119L58jOdeYIrXE4dUSR7W7u7vdB1m58XQ5KD++FSoOk6kdRLQv8bS8d97fd96s/lneVvdzeHiYnY4apqfSO+zv7w85853OsqxvdHBwUOzLm/mwxR0MrxZkhDWc0pnAXYzhlLqO0j2G6Y3tXzVzeDKdTvMmprfMt4WrUDzrpieSbm37Ql766zHAckFQOycn23EdnfW5fv36vXv3qpffzG/puxqdH1s4tgO+2/ea1R6WlX7c8soc+eAiH2R1WcxqWchrD9PIfwIDE6whHB0dlY5xz28vZlId/yEdz56ykqOjo9u3bzd9tmno0ZSqYlQy2ueb2tvbOzg4aH+7nfx/9BzDJbUqEawh7O3tFec/Z8kvbvuMqfpiXuML+Nq1a/k4sekO+d7A2k91eaGWzliaTCaBXqv5OKspW2q1RNaw1mbmWkzL0GM+iyyIdJmE1u4izOrKWx1epScAxKpVdroAn55Pky7JNzETnIMR1kCKWWF2urA6x7l16/0lzo88apnf1Y6w2iNb2gURYg7YpL1QLQt5VWrVxAhrUC27CKtL0aU7rP2XuH2lpvt8cO1PZEXy2tZmq/u/TE7BaSdYA0lPYald7ul+avQa5YdK9hosbJs0N3t7e8W539V7FvPi6hfSxJRwOOnJHLXzwfHv3U+fQuls3o7NGskTISgjrEHNd6DzeORrycWhkvmNTU/KyIul8/s0nOqYv3jNpx+UzpGeTqejGpUcHBykheq1z35UT4SITAmHli7KdlkMGueLvMuzKH0wzidCLIK1Zm+88cajR49Kr/8Qr+2O5VUrlkiwWI68X3Z7sVKCBYRh0R0IQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCEOwgDAECwhDsIAwBAsIQ7CAMAQLCOP/ATk/R545DOkGAAAAAElFTkSuQmCC\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-DwSxwRYcrVGy24tTsaFMNw\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-ZVbUiacqGwfeH6PYgYXr9W\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">10</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-ZVbUiacqGwfeH6PYgYXr9W\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-WeVKfjdzsKAea7NWUfrQ7Y\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">11</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-WeVKfjdzsKAea7NWUfrQ7Y\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-KXDcrsjtKSbow5xR48Fhxd\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">12</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-KXDcrsjtKSbow5xR48Fhxd\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-f5ezfzmcj73xZcrDcXFffc\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">13</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-f5ezfzmcj73xZcrDcXFffc\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-MQY3pjCXDHf2hrjw6evfum\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">14</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-MQY3pjCXDHf2hrjw6evfum\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-RrhEBoVu8iAzrXvf7iz2VS\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">15</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-RrhEBoVu8iAzrXvf7iz2VS\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-XiAQYYhsoFofjiGDYu2ELG\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">16</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-XiAQYYhsoFofjiGDYu2ELG\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-5PLwcHPbfjZFkP3zC3s2F5\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">17</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-5PLwcHPbfjZFkP3zC3s2F5\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-YguEbjDEsBud2t75h2wELz\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">18</h4>\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAGQCAIAAAAP3aGbAAAU0ElEQVR4nO3dv2skZ57H8W8XHW40LPgGCzFc5HNgekUz5m7OkUOh7AJjnG50TOA/xDgQF21+XLLh4MiRTgs3DJqOvI7MICyMYXC0kWmqLnikR08/9aOrnvr5fZ73i4VtaTTamt7WR5/n209VrYqiEADQIJv7AACgLQILgBoEFgA1CCwAahBYANQgsACoQWABUIPAAqAGgQVADQILgBoEFgA1CCwAahBYANQgsACoQWABUIPAAqAGgQVADQILgBoEFgA1CCwAahBYANQgsACoQWABUIPAAqAGgQVADQILgBoEFgA1CCwAahBYANQgsACoQWABUIPAAqAGgQVADQILgBoEFgA1CCwAahBYANQgsACoQWABUIPAAqAGgQVADQILgBoEFgA1CCwAahBYANQgsACoQWABUGM99wEAbT3LrsuffJe/mP5IMJdVURRzHwNwxGl2XbUWMJ/LhdhKBg0LC3W6uhYRWUlWMbnIvMe//vqriHzwwQcTHRxmQsPCstznlNxHVUnT1PXfv/yvb775htiKGIGFRXBzSmpjqdV7RP/3yz8LbStSBBZm5kWV9Esry8SWkFxxYVsD5lQuVoOklYh8+vSnT5/+JCJfffWVmXAhAgQW5nG6urZj9ZrJuhX+Kv306U//+9//KcRWLFgSYgbtJlb3buWzpm8lFZuz6jCV147AwqRaT6xEjkXVwbclttJAYGE67YtV+6g6+P5dYos3EzUisDCRx7SSuj1WIqFRdfA/1D22hORSgqE7ZlD5sruVz/qnlYjcyotbaXumjn0z8csvv2Qqv3w0LEzhoF6JZKvHx4OEVO3/bse29fXXX3/77be0rcUisDCFusAaNa0ODqBLcv3bF5fE1jIRWBidl1Yikq2mi6qDIyG2lCOwMLpyvZolrSzeTNSLwMLovMD6eTVnWlm8magR7xJiXOX14ELwZqJGBBYmtZB6ZXWNrb/9z0shtubDkhAjKterpQWWh6n8whFYGNEyp1dHEVuLRWBhFKfOHW4ykbwQ0RNYBm8mLhCBhVGcnZ3Zx7/tLkUkL5QFlsGbiYtCYGF4blq5drvdtAcyGE7xWQgCC8N7/vy5++F+v3c/1Btb0iW5iK0xEFgYmJdWLje5EoktYSo/KAILQ9put1nWtLkvzbYlxNZACCwMqaFeedJsWyIikr/L225VhYfAwpDaB5YRTeEitqZBYGEwR9eDdVKNLTKrs/XcB4B4hKWViKzXazezNpuN6Iwte1piu+TiTN7OaFgYRnC9MrySZWjMLFeb2HqX/+sERxINMh7D6JNWIrJe+2Vfe1pJx0tBoA0CCwPYbrc9v8Pvv/+ePxjkkJajObaeZQu9XtgyEVgYQM965Ykvs6QptvgZ7IAnC4vgRl6WZRGsBzEGAgt99V8Pmol7lmXDNrUFYqTVU+SvD6gTfb0qZxZjrPYILPTSczdDmkqZxRPYFs8UeumfVtFsc8cECCyE6z+9SpZXslgVtkRgIdzg9QpoRmAh3OAbplJeD1Ky2iCwEIhxe09scQjACw6B3LQKq1qM2x38JLbC04QQ3rg9y7Ioz6fB0hBYGIYpXO1ji3pVxhjrKAILIeqmV11jK3GMsboisNDZ0Qu3M4zHSHhhoTNToNrXqPJXsh5EGAIL3Xi7GdrEFoULQ+GVhM5MSJkYChhaUa9czhiLH8bjeI7QgalX5cbErH0QOTeEOYbAQjcNA6w2Sz/qFfogsNCNuxLEgPIivy3Y5XAELzu0ZcftlfWq61uHQr1CdwQWOnDH7ZV/2ty8uJhMpVt5Qb1qicBCK+bkwYZzBlO4hUSzzWYz9yHEL+lXGAK0SaXKUIt73G7SarPZBMTWSXFFvWqJwEIH7p2ZG8ZVVC3a1khWRcHeDxzx/Pnzcjx5+93tPL4yrVKoV5WO/kupV52s5z4A6OC9P2iGWTab3LQ6OnqPj7f1P8syG9A2yyLL6LnQsHDc2dnZev34u82LLSnll/0y85m469Unn3xiHtinyH0emv/t1Kuu0vpNiABnZ2dy+INnq0TDPCudnmX/meYp8v7V6wfmQ8ZbPdGwcMTp6vqPf3ppP/SqVuVGB/tD6w7prZgalkmfV69emQ8vLi7a70T7bXcpIu9yGlYHSfwORB+3xYv3by/th5VVy/sr+YPyd4sprQK4bevJ5uWTzUsui9wJgYUjTlfXIuJl1n6/d8/FaUiu6Q50cl69as+LLTKrPQILbb3fXbqxlef5fr/33ijMHlR+h/jqlZdWncZ2JrNubm7IrPbY1oDWCpGH0LGTY3eFaFtDwInQ6mw2Gy+tjg6wymxmDXlkUaNhoYlZD5btdrtyXdo/iH7WPqCjd/SAi8BCuMrYSkG5XknyJyRNgyUhapXr1c+rz8pfZjOrzxkq2pFW0+BZxmASKVybzea7777zEur8/Hyu40kKgYVqLetVWfSxZReDXAJseiwJMQp3nRhZfnkhlWXZ+fk5yTUNnmWMK7K0uru78z4T9+6NpSGwUCF4PRi9yiZFvZoMT3TSvvhrdrq6/uKvvAxaKdcrEbm4uOjzPV+/ft3nr6eGGVaiHjrUlYj87T+uTuVaRMy1mahXdVI7WXKB+NWaorr96/efX016MFrU1SvWg1PiucaBU87CrTFGvWI92BWBlaLb4kXtlXmL+5OcLdaDUrOJv3kfFqvFMRBY6aqLLa4yXlY+czDPc7O7nWCaEoGVuqa2Rb0SEZHNZlNuUt6FwAKwHgzANd1x4HR1na0kf3hREFgicnd3V74h0NFx+9HbcBBYAWhYOHBbvCCtXM31qgHvHo6B5xToxkyv2uRRw3iLehWGwMIBLi7uqrxQX/u9V97tstEfgYUDrAc95emV9wVH86icbtSrYAQWHlGvXJV7r9x65d7iDNPgucYj6pXHWw96d7oO2/tOveqDwMK9uhMMYZitDA2RZPcxMLQaD4EFVPDWgyatzOOjxaohtqhXPRFY8LEe9LjR0zCxcleLzV+JYDyngM/UK3NbZpNB7lX6ytWp5Wk61Kv+CCyIOAMs6lWZtxj03iWsxBhrJJxLCBECy2GnV27Dsuo6FGcOToOGBdKqydGNo5Vf5n0laTUUAgt45L45uN/vzQPvQn1eZuV5bj/jPmboPgae09Sx/aqByazKHe3mk2Yl6A7dyxMu6tWACCzcYz1Yab/f170JaDPLbVj2T80Xk1bD4jZfwCN7n+ry2tDM4OVwE4MXVSwDx8a7hElj3N6sfP5z8zzL/bI8z9+8eTPesaWJXwhArd1uZzuXkee5HcZLaWeW+2Wk1RhoWOlyx+00rDbKhcuuEy3TuUirkRBY6WI9GKbyOlnr9dq8Y8iUfVQEVqKoVz15sXVzczPTgaSFGVbqSKswu93u/dtL++HZ2dmMB5MOtjUAIU6KK6FYTY6GlSJ2tw+i4Y7ZGAmBlTTWg2FMvcL0CKzkUK8GQb2aBYGVLupVGOrVjAistFCvBkG9mguBlSjqVRjq1bwILKAb6tWMCKyEsB7siXo1OwIrRawHoRSBlQrqVU+mXrEenBeBlRzqFfQisJLApXt7ol4tBK/jJDAtHgTL6tkRWPF7lnHpK0SCwIpfziUa+3H7KSVrXgRW5KhXiAmBFTnqVU8nxRWz9uXgmu4xe5Zd28CiXoWpu/MgZkHDAmrx7urSEFgxYz3YE4vBpSGwksB6MAD1aoEIrGjxBnxP1KsFIrDiR70KQL1aJgIrTtSrnqhXy0RgAT7q1WIRWJFjPRiAerVYBFaEWA/2Qb1aMgIrZtSrANSrJSOwYkO96oN6tXAEVrSoVwGoVwtHYEWFetUH9Wr5CCzgHvVq+QisOLEe7Ip6pQKBFQ/Wg31Qr1QgsCJEveqKeqUFgRUJ6lUf1CstCCykjnqlCIEVA7desR5ExAgsJI2b4uhCYEWFeoW4EVjqMW4PRr1Sh8ACoAaBpRvj9mDUK40ILABqEFiKUa+CUa+UIrAAqEFgxYB61Qn1Si8CSyt2MyBBBBbSQr1SjcBSiXE70kRgISHUK+0ILH2oV0gWgYVUUK8iQGABUIPAUob1YBjqVRwILABqEFiaUK/CUK+iQWABUIPAUol61R71KiYElhqcPAgQWDo8y0irENSryBBYOuTF42PWg0gWgaUA9SoM9So+BJYC1CvAILAQJ+pVlAispWM9CFgE1tKxHgxAvYoVgQVADQJr0Th5MAD1KmIEFgA1CKzl4lycANSruBFYOrAeBITAQkyoV9EjsBaKcTtQRmAtEdOrANSrFKznPgAcKEcV9QqwaFgLQrEKRr1KBIEFQA0Caykq6xXrwTaoV+kgsACosSqK4vhXYWTUqz7yPJ/7EDARGhZ0Oymu5j4ETIfAgm5Mr5JCYM2P9WAw6lVqCCwoRqynhsCa0+nq2tQr7wePn8M2Toorxu2pIbAWgaUN0AbnEs7mdHUtq8NPFSLUq3bYLJomGtZ8DtOK/yeAo2hY8zh17jZIVHVFvUoWgTWD7Xb7T9tsv9+bD3/bXdo/Yj0INCCwZpBlmYis12sR2e/3TzYvzefd5EId6lXKWI7MbL1em+QSkSebl5vNZtbDARaNk5+ntt1uTcOqZNeJu91uogNShXqVOJaEU2tIK3HWibZqkVyARcOaVHO9KqNwuahXoGFNqlNaCYULOETDmk7XeuWyVctIMLaoVxDeJZxScFoBMPgRggLUKxgE1kS2223w32U9CBgE1kRYDwajXsHip2gKfeqVh3qFlBFYU+hTr7z1YGqoV3ARWKMbsF4BiSOwRjdgvUptPUi9gofAAqAGgTUuxu3BqFcoI7DGxbgdGBCBNSLqVTDqFSoRWAtFvQLKCKwRsbs9zElx5d+xERARAms8z58/H+pbpbYeFLm/pyzgIbCWKOX1oKlXDLBQicAaBeP2XqhXqEFgLU7q9UqoV6hFYA2vz6WQPSnWK6AegbUs1CvqFRoQWMMz9SrP87kPBIgNgTWw7XZroqpyVdgpxZJaD1Kv0Ab3JRxeXVQdHWzFtB7kRooYAw1rFHVNqv0wXvXP+WazefXq1atXr8xjG1512NqOlmhYQ7LvDwa8SxhTvbKyLMuy7Oidq7OV5CKyktPVNatCNKBhDSl/4H7GPOgUYRHUK/cz6wdSVbjM9Cozr8WVnK6upztWaEPDGszZ2ZmI5Hm+Xq/NxMqdW9U9NmKqV15auUxmeYUrcxaDmUjO2hD1aFiDubm5MQ/2+32e5yaDTMPyEqq5bWmvV+6Hlf9Sr3A92bw8+CtjHh60WxUFJ24N5nR1/cc/Hf74ZVlD1TJiutPE3d2d3YZ2cXHRZiHs/vN/212KyLucMRaq8ftsYO/fXrofmqqVO9zkmuMAR7TZbOy/rv3Mzi1cXtsCPDSswZSnxV7bMryfZC+24qhX0qVhefb7vV1cAx4a1ojev70sB1B+aI7jGoVbr4ywM8BJKzSgYQ2j7s34n1ef2cdH909GU69E5Pz8PCywXr9+PdxBITY0rBG5aSUiu91OdSQ1KNcrYAzswxpAp72ONrO8wqU6y7y9V21OnKxEvUIzfiuOxatXZdEUrnK9uri4mOtgEDca1swiyKyGre3AsGhYfSV+7lu5XgWvB4GjeGGN4uh6MGLB60EGWDiKwEIvQ43bgTZ4bQ0vnXrFbgZMjFcbhsT7gxgVgdVLyhP38oX6+qwHGWChDQJrYOmsB6V0tiD1CmMjsBCifF4k43ZMgFfYkJKqV9568OLiIvjiE6wH0RKBhc4q65WEXk8GaI9XGAK58RR2rT6DeoX2CCx0U1evgAkQWEMyt9hLgTvAqnxzkBTDGAisXlK7TXHdm4OsBzENAguBzDXp6/ZeVUYYtQs9EVgDi3hVWK5XZtZubxZ79Dt4KUa9QldcwA8h7D0m7H7RhjvFAkPhhTW8KEtWm3vQlzXULuoVAhBYfVXO3aPMrEp2SVj3p+YB0ysMgsAaQF1mnUi0seUGUOX9U72EYnqFQRBYYyrkRKKNLTOrsvevbk4oF2mFYATWMJo3ZJ3I1UcffTTZwYyh8qZk+/0+fzDHQSE53Kp+SBXX81vd//cfPvqzefDjjz9OeERjKW9xEJH1eu29RVh+x5B6hT4IrIFVXoP0D//yZ/fD77//XkQ+/PDDiY5pNJWx5SaUF15v3ryZ4KgQMfZhzebu7s480JtcdpHoJpddHto3EM0D0gr90bCG55WsynpVpje2rMrCJSI3NzfTHgiiRcManh3Ad7pFhZ3K6x1yvX97KSK3xYuzs7O5jwVxomGN7uOPP7aP6+rV559/bh//48e/iMjPouxqy2avbGqXr8DEaFij++GHH8wDN7nqmLQSEbt7S11yAeNhH9Z0bHJ53HpVpmLrKfUK06BhTerp06e//PJL3Z/+4+9/efxgdfBHFC5ACKzpPX36VERsbJkPK9jR4uKTi3qFyTB0X4ojbymuqj+9hNgisDAZAmtZju+EWFhykVaYEkvCZTm+h8v8finFllkqLqFwAeOhYS3dkpeK1CtMjMDSYZmxdVJckVaYEoGlTPvkshe0kXFO96FeYXpsHFXmtnjRlBGFsx/CcXd3Zy8OMezBDP49gQYM3VU6Mpsv/EtEGANe0Cadu2xgUWhYuh0pXCJSdca1KVzBV20270hSrzA9GlYMvMJVWa885gRGk1ntJ1z3++wZe2ImDN3jZK8M0eaCNtLumjaP52AX1CvMg4YVJ3NliLoL2tRdH+L4ZSEKERaDmA8zrJjVXdDGYy/C1aQgrTA/AitytVeDcNnNEEX9f0SEtMLcWBLGr/mCNo8X4WocZhJVWAKG7ulqf48M0goLQWDBTy7iCYtFYAFQg6E7ADUILABqEFgA1CCwAKhBYAFQg8ACoAaBBUANAguAGgQWADUILABqEFgA1CCwAKhBYAFQg8ACoAaBBUANAguAGgQWADUILABqEFgA1CCwAKhBYAFQg8ACoAaBBUANAguAGgQWADUILABqEFgA1CCwAKhBYAFQg8ACoAaBBUANAguAGgQWADUILABqEFgA1CCwAKhBYAFQg8ACoAaBBUANAguAGgQWADUILABqEFgA1CCwAKhBYAFQg8ACoAaBBUANAguAGgQWADUILABqEFgA1CCwAKhBYAFQg8ACoAaBBUANAguAGgQWADX+H+74+2g2jjrOAAAAAElFTkSuQmCC\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-YguEbjDEsBud2t75h2wELz\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-NxT4HGryuEcAntx5VCKzqB\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">19</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
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       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">0</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-XHuUm6SKWdTSreMxiHaPG8\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-ZqKrbskYn3pNr6dX5Grcij\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">1</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-ZqKrbskYn3pNr6dX5Grcij\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-mnys3E9zf4EGHXB9hhivoh\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">2</h4>\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAGQCAIAAAAP3aGbAAAVEklEQVR4nO3dTWtcZ5qH8bsOzTA4RitjpKQRwszC9lLd+E0dGPIRJkYh6+ClMSGfo2lClsbrIcY9HyEMOLLbwjS9ciswGGG6razFxIRZnJrFozp16rzVqarz8vyf5/ph0opcLh3R1pX7PnWqajKdTg0AFCRjHwAAtEWwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGb8Z+wCA6OwlL80stfRdejD2sYiZTKfTsY8BCNZeclT+5N9/2TezGx/9Lf9J+tUGwQK6tJccnaYHlZ2qt3BmhnI1IFjA+txyl5M23rxwyrh844UbnKZ31zuqgBEsYGWbdaqs8MeLXTtl4JohWEArpUjZxp1quKvynyVbZgQLWGp2QiqLSIedKsvfOaNWEcECqi2eOE967lRZWnm3kZ/YIliQsTu5KMi7ab+DxiqP8fV66XV1s2IetbhwFHpcufrI1m5y1K5AwzxFxH2VtPTl4n2CChMWZJydnd3++G3+M101a3dyZBOz5SUYqxTlZkU6ZDFhIXa7k6Nk0nwTHyaaQrN8OKQRMGFBSbdD1rJzVV5FoXw+K8YhiwkL0ZHqVEF5N4wLwUIslDtVKdlNjmJ71iHBgpKdnZ1X762wFTZrcY2CRKoqLgSTOO5uESwISybJXvKy8lrKUDpVlt8KRb+F9XHSHXqyK0iTyfwn1mUr3E45sZ96J1jQc3Z2trOzY8UnJA/81JlRpGb26uzfbu9kSzHBAkTkglVXqzA6lcm+zST3qYhe8I9zWNBz8+bN2YdPzCxfq+1b35jZz8d/GvyghhH7qXcmLMjIdWruw8nj7GNXq0yg2aoYsuJ5CQeCBd9VdsppqJUTdLMSM3v5z727n5zGcyaLlRD+akiVtaiVmW3f+toCzdars2u5U++xYMKCd5o7ZYupsvpa5YXVrHi3QoIFXyztlJltbW39fPzH/Gfa1MoJsVnRbYWshBhZm06Z2dbWlpmtXSsz27719dJmvbODXVvpLQXHlE7T/KWzMWDCwjhW6pSVUmUr1irT0CxXK5FmpWaWTs3MkkkSz5DFhIVBrdopZ5PBqqDNnKVg6ZtihIlgYQjrdcrpsFaze6hu1q4dXbr+lZ2YSe2G6bTiHHyoWAnRo006Zd2tgVX3XD1kSW2F81TFsxUyYaF7G3bK6XywWuqdHRT+VSJbtjBkBY4JC11qeWlC8w36G6wWv0pxyHKFcj/8l288+HDypPMv2q18p169v2ZmwQ9ZTFjoQCedcoapVSU3T/1j8ulvp89PTk52pYas2x+/dc0KG8HC+jpZ/TIjpipzUagl7/rlKdesu5+cjn0gPSJYWFm3nXKGr1XD9Q1ap97L9pKjULdCgoW2+uiU+TFYZcqF0srWbMgK9knRBAtL9NQpq0qVDVuryiErG68GO4weBPsOYAQL1QbulI06WFXKtkKtIcsJ9RJSgoUFw3cqfwMfmqU/XjlhJovrsGA2aqcKhm9Ww1bonqzj8wVZlZeMzh4rDPCCLCas2HV4CVXeqp3K/0Ef5qyM5xdkJZMknsvcjWBFy7dOFe5k3GZpnbeqb1aAp95ZCePiz+q31JDNat4KJeKVb1bAz4VmwoqCUKfy9zzuBVnZS804nmcrP2cFvCQyYYVMsVMFgzWr+YIskTkrTWc/zaEOWUxYAQqgU/mvOPo5eJ3dMEkm82YFiWCFI6ROFb76KM0SvSArmVy81vvsWdBBXZDFSihPpVNZdNa422GCFcCp9+yF3tNpmFshE5YquU5twofF0PE+WxdvTpFMzOZDVjiYsPT4fAlVprkv632tvptV+WozWaF05qyF96QIbMhiwpIx2Ku7bMiTUWgNLV8hy/tmXQxZr86u3d55G9iQRbC8tjs5unzjQZtb0qmelC/IUnF7539yZ9wDOfXOSuip4OcpP7dCC+WCrNkH+U6FsBUyYfkl+E5Jk9sKzdJgZiuHYHmBTvlM9IKskiSA13pnJRyTSqfyOmyW4laoMF45YW6FTFgjUOxU5ATfnKJyK5RfDwnWcOhUwfatb9Y4+LEuIvW+UK2ob4XyxZVw8+bNlrUys/Pz8zY3+/n4j+7XBse1Dt0+trd96+u63yrshkMe1eoufrpfnYXzjtBMWD1qH6nCVHV+fl43Z8XQCz8pFKpa4YIs6ZchJVjdW7tT+c+7OSu7Qaid8nYrrLvqXTdbGemtimB1Yy95een6Vy1v3OYslbuNn53y56nIY9F5xDC0C7II1kb2kpfZ48cfTh63/FMfejse9EqhUG0IX5AVQnSHt5ccuV+5q13i0uHot96wNsDs2fLUe9+HgTyCtZpZpxCpyguyRjmS1pLcP+ef3NX8a0ywWsmNVPDFWCf4sneEHuWrd0X0J5+n5ixRE6mL/7sbtoa1+XmivRJP0xHZDSvPuEs+TYeT7tXqhynR/zKhM2pXNgR1mpUfvwX1q18y+4VeyJ16d9n67fT5petf+T1eBYWfQDPPOiV0iZPQ9tqTZJKcnJyYwKn3Asl90CIP1uadqnsJcIRN4byVE9Q+aNEGy595Chm5rdC4IGtwcf1wLhupfMFW6D+FC7Jqxyvducujn9JefXx4+PHhYenTHYxUbIXREnmRGSv9DU91X60h8GBtHx5uZ6lK8q+76NdIVRbnkKW4Fdric6H7PpLN6Y5XFvB1WNuleerfnz59YY9GORgEye9Cpdn/LP6XWXi8slCvdM/X6rNnz7KPX/R2ZrSPS95N5wxRt/Og3FXv6TQ1s39MPvXp1HtqF7VKFj+rHazQJqy95OjX+9+6j/OpQq+ifYUsV6jU7DcT784wlFc/9VqZ5+dxVuIe/nO1+uzLZwPXqqdT73FWQMs7O8jXyo8lMXW1KoxXpr9NhRCs3cnFlQq/3v/2sy+fffYlg5U2rVPvbsjy5oKsNKvVT7/sL/5G+m7qQ0w3Ih+s3clRMjEzu3P4XZCpUhmyVE63BSqd/Zpvgjc++lv+FurLoKMdrKxWRZ9XfK6/M+4OF2TFoPm50O7jAbfCeaeyf3eK59qn0hczzAkHK1+rO4ffjXos6JjKXFkw4FaYNlxQVVgGzSyAZdBRDdbibJWYWfLF0/EOp18qP72Rb4WuUz3XqjhSFX7PzH76Zb+wDJ6md/s8pEFJBmt34s/VLgvYCmPQ0zV3jZo6lffTL/s3Pvpr/vYh1coUg3VRq9x4defw29GOBr1ZY64MbsRr2ymbXdF+46O/LnwylFNXGb1gOe6406ml09SeLl8G+z7j3je2wpis0KlM+Sf5ND0I5tRVRixY2TKYTi1dvAou/T735ME/D3hMi9gKO6SS6Y6s06my0/TA/erkmHwjFiz4b8QhSzNwa3Sq+rVGAu5URum5hN6eax/G9q1vWLgCssYkVT1eBB+pvBAmrBfT57W/Zc/dryGPh62wQ5pDU4O156nii/C5/4mqVhZGsMzMnXfPn8b60Z7/OGynkGESLFnv/NSSl5mMrVamtRKWVT4v58fPKztV+ea3YtgKBXW2+mWu7D98/fr1ekejTvVnOJlU1OrF9w9//I/n+dfQGOsqFLbCDmluhV2tfnNX9h+epndP07vR1sq0Jqx304PSVaMX/mLP0++HPyLU6vAl/aSGyk3+Ezl7DauS2dXq8XYqoxSsBmmrVyZjK1Ti7bdZNT53OMrPsxXz6ldHM1hTSycL7Ukmi82azqewsSr18/GfxnjSmTxvO1VlnU4t/Qt5Zf/RrFPUqkgsWPOtsMEkhJeCDcCqW+HmqWp/D5utq2t1atl/RK/+/uvj42Mzo1MNxILVSlOt2Aq9M8r3UvdFOz/Bv3Twz81Tx91+6SDpvc1X/rx78Vq6wreSOzefVH7Yv3t2YGZvb93q9m6FglWXAIlvoXzwLQ+76aTq7K/l1Xmq0JbshDWteKxwLvStUHfI0jrs/NF2NXxd5RTVBvSC1eo0VpNBt8IXdnTPi/d9GllPndowIufn5x9OHre88YbfwtXf0akO6K2ExlZoZmqjSuc6P9l0fn6efdy+YnWyv4e5TqEDysEys0l9sCbFtTGwYFmUzer7qvd8tpyV4kWn+qa3EhpbYXyG75Tz4eTJ4ieqL2ioehIyteqFZLDyCu2ZX0Ga/XPsK0ida8fHfQxZwRsrVc6l61+VmjUX4YsljE48WI2PFRYvfw+O7mOFS43bqcybN2/2kpflz5OqsagGq81W2FgrtkIfedKpDydP0mnq3sEhnabJ5OI9T+jU6FSDlVe7FTpshQp6TVXLTpnZ//79cfZOM2dnZ7c/fmuzN8sK7x1oFOkHq/kK0tCpb4WejFT5TtXZnRzRrNEJB4vHCnV50qk3b940/O7Ozo7Z246OCN0QDlYeW6EKH1a/5k7lvXp/zW2FDkPW6IIIFluh91uhD51qs/fBc9rBYiv0nA+dslVGqoKdnZ1X7y0/ZGFc2sHKYyv0ig+pWrtT8FYowYp7K/QHnUKvJJ/8XJC9eMNar9xQ+ree3bOD8J4IHXansguyjKuxxhbKhFXFz60wsH2wv1QNcIpqVdRqdAEFq/RWOuhP2CNVwc7OzrvpzjBfC81CWAlNbSvs4+2/hlkJo+oUPBTQhFWlcOGfJ1uhotFXPzoFC23Csooh6+U/F5vlwWuQ9vQGq30MWaN3yrjgEzmBTFhaV5D6/6bQdAp+CiRYDZJksURshY1GTxWdQoPgglV6rDBN0+KZrEA1PKnQvRR5Q51H7xSnqNBGIOewnLrHCtudxir9W8+Geawwe9eEuu+tp1TRKfQhuAmrjXC3wmzIyr+7S+U3OG6njFRhLSEGq7QV3v0k/H0wU/1GVDOsfpAW1Epo0V9B+r7mHFZidun6g62trW6/nNEpDCvECauKn88r7FZlrS5ff7C1tXV+ft5tregURhFosOJ7XmG5VpevPzCzUTplpAr9CG0ltCi3wrpa2SxYG05YdAqeCHTCqhLDVliw+XjF6gevhBusaLbCPpZBOgU/BbgSWkxbYctatVwJefYMPBfuhFUlsK2wq9mKU1RQEXSwgt4K29eqYbxi9YOWMFdCC30rXGm2KgeLTkFU0BNWlQC2wrU3QToFdaEHq3ErLMYrOFmhSBXCEOxKaG22wknxHVj93wrbjFftT6I7POoHFaFPWFXmg1X2T5GtcGmtVkoVnYKcCILV/FjhZJYt7zXUaqVOvXnzZndyRKqgKOSV0ALaChueLdgeIxXURTBhVdHaCjes1YeTx+4DagV1cQQrlK3QaVmrrFNAMAJfCU1/K1x1vKrr1GnKeAV5cUxYVSS2wva1olOIQTQTlq09ZA3ZrtRy7xPRslaVqUqnnLFCgMIPlgk8r7D4Tjfbt75ZWqsPJ0/q/nhqZgQLIYo6WLasWffsU/fxCzuy7tW+I1f5N7Ja5TpVfXN2QAQspmBZ2yHrD7NO5XXarOY3Dyze4vL1B1WdKt6WVCF4BGv+8R/+a9apz6vvZ+NmLe9U+Q8kyxbSK/sPX79+ve4hAUqiCJYt2wrvffGdmSVfPJ1/tuNmrZyqpSfO6BQi5MnD90OZVpQjya5m+P5w/tk/V9/BPVtp7Upnv9pLZr+qXf39o9P07ml6l1ohQpEFq87Tp8tvM9OuWat2avkfdJ06Pj5e626BEMQSrHUe468ZsqypWauNVPUvHzi/nyv7D12qWt4nELBYgjVXtRX+xZ67Dxa2QlupWauNVO6myaT2Blf2H52mB6x+QF5EwVoyZK2yFTr37GCNkSqdFbPyz8w6dUCngLJYHiV0Gh4rNLM7h9+5DxYeLrTaRwydF7PprKWLNbB0VT1XUQFLRTRhzVVthWb1Q1b9Ymhm/zfL3KrH4J50fXU2Uq1zJ0Bk4pqwbNnzCu9NPrXDQysPWVYxZ/1w/352J//y7NHSL50/xX71d49Y+oBVxRssy42XWUqyYFl9s364f798t0ljs7L75wnJwCZiDVa9ZGJ3rCJbP/xnRaecf61JFYse0K3ogmXLmuUuNcia9d9p7SOAdAoYGMFaULgw6tf731berDJVdAroG8G60HAN51KkChhGjMFyitlqeFudGnQKGFi8wbLKUatFtugUMJaog+W0zBadAkZHsCpkCeOyKcArBAuAjCifSwhAE8ECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGT8PwGUSWd3VriVAAAAAElFTkSuQmCC\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-mnys3E9zf4EGHXB9hhivoh\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-aL9yZ4NoiYdRgr5v3XKBND\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">3</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-aL9yZ4NoiYdRgr5v3XKBND\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-mdroE4ap9DbXfXouj6PpEE\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">4</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-mdroE4ap9DbXfXouj6PpEE\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-3J2BMToZQJCrxeBXGGX9wm\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">5</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-3J2BMToZQJCrxeBXGGX9wm\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-jo3u7yEKkc2HSi37PBM9ZU\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">6</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-jo3u7yEKkc2HSi37PBM9ZU\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-a9BjRHLwKoJarSVa3xvZb7\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">7</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-a9BjRHLwKoJarSVa3xvZb7\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-UnQhUkJsMMi6QRf4cNL7Y7\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">8</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-UnQhUkJsMMi6QRf4cNL7Y7\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-DwSxwRYcrVGy24tTsaFMNw\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">9</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-DwSxwRYcrVGy24tTsaFMNw\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-ZVbUiacqGwfeH6PYgYXr9W\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">10</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-ZVbUiacqGwfeH6PYgYXr9W\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-WeVKfjdzsKAea7NWUfrQ7Y\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">11</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-WeVKfjdzsKAea7NWUfrQ7Y\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-KXDcrsjtKSbow5xR48Fhxd\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">12</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-KXDcrsjtKSbow5xR48Fhxd\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-f5ezfzmcj73xZcrDcXFffc\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">13</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-f5ezfzmcj73xZcrDcXFffc\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-MQY3pjCXDHf2hrjw6evfum\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">14</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-MQY3pjCXDHf2hrjw6evfum\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-RrhEBoVu8iAzrXvf7iz2VS\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">15</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-RrhEBoVu8iAzrXvf7iz2VS\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-XiAQYYhsoFofjiGDYu2ELG\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">16</h4>\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAGQCAIAAAAP3aGbAAAXQklEQVR4nO3dzYtc15nH8acuwguh0WIwRlKGRohAZIaA3dOW4ygCk22m8cJMJ2g7eCmEmfWsZm1CyNL/gMYvhEbx0sEgt4x6CuPNYAWCMU2sFl5qjBfG3JrFqTp9677Vrar7cn7nfj8Iu7q71F399tVzTt1bNZnNZgYACpKhbwAANEWwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyDg39A1AT3YmR+7CyezmsLcE2BjBip9PlZk9enJtwFsCbIklIQAZBCtyjFeICUvCTVxNjswsrb7CSco+EdA+grUG1ymvajpNzXaWr+kNHrLLly8PewOAbRCs1a5W1KfKBiGzAFoGhG8ym82Gvg2B2pkcJZM+PlDN0tLZuGVuAys1SxYbWExYkEawSrjf835qVa++ZfUh85/F1+lNMzs9PaVWUEewloSTqnp1IWv1+8lRpggKwTqjUqsal278R1vv6smjd6re9PfJrTRduZAF2kew5vzxSqLBajFVVqxV6dck84PDIIZ+ECwz8Vp1mKotvhrc6YkuEKylY8G1gtVuqszVqrOvAAnD9sYeLGrlPDmu3LHqDgnDujhwVNJQtUoqPvpmvSseRkvCUG/UwQp2vDqxW9evX//+8bulb219JVivyfnxV0gYejHeJWG2VhZSsE7s1o49cP8tvrX9fauystREauMb0Naqk4SN2agnLC+cWnk1zWpRMSLdPd5QbgrbuF9MYWM20mDVnIQ8IF8od6HrWhX19uhoT4/f8R9r+yNQSdh4jDFYwS4G/VR1YrfOX3+ruIfV8+5VURc3IFfJVo6gJ2GxGl2wcrUKh0vVldmD1Gxn8uDx41s7HX/E3KIskAefLd4MEgZvRMEK/+EK3FTV23b7UJ6uuXvVxQhmJEzTiIJ1+fLl4ngVyHrQRcpPVT1st28gkGJ2NILZcsKIV5jGEqzwxyvH72F1/YHCXA9upt2EuXszd5L514dyBWUswbKy3atAxitb3m53L+auEMh0s71114Ob2T5h/iAMyhWUUQRrMV59NfQNKZddAPZz+FVOk/FKvZgbJ8yX6xe/OBtLiddQRhEsC3u8cvpM1SCnOodmg4Qxdg0u/mCdnp4OfRPq5E7EKW2W+nSjImn8paZcQ4k/WGb26pX8YjC08crMzl9/a+dxH9vtOX2uB/vZwOpTccFIuToV+cnPp6enxVpZYMEqnO2cZFcnXZ/tTLC8tj5Ntrq6E/OEVbUYDKdWEtvtWFdxwei/zl+TsO3EHCwrWwyGKcwjRdsV+HjVBVeu7CeeexZx+rWuaINVtRgMSu5s553HD3JDTz+PflVvJFv+g3yaVwunB5GweqNbEwS1HvSXd+zB48ePFy/19JR/o/veD2StFF5NjrJ/urtVoqKdsMKXHa+iXw+O2TZrYUawnGj/lQ38zsHc4QuLZvW3Hmz4jR/J/YNCriZHVw4OLh0cDH1DhhFnsAI/WDSL8Qrreu6Du7/+4IPbSTLCbMUZrFJbjFdJ2Z+t5FaCPYxXWSP6rjfT8Y57yz88nsvW7WRE388IP9X1x6vSHrX/4+Xlttv7Obp9wPsHx7wefHr8+7JXb/sz9nB5Kh9PtuL8JMvOxWm9R1t96c5ff6u3VEFBCz+Zt5Pk9p/i/I32Yvv0+t292uSrt3hw0cfZF1kPokxdwh5WbH3e/lPM2YrwEys+smgyCfHT7HO7neNFY7FqBHtz/v9YmxXVZ+XGq36fF2ftL2DZgVfZd9LtUaP9f7/D38DSTfNDq/tRj7JZsX1KQzxw+xpfw+J2O49+FbGKHfc21TcrPvEEyz0Octkjiwb3OYa/3U40hb15dvH27dvD3Y5OBPfLrKnRl7H4jDhst2N7KxaGcTUrkp/hAMar9T5Q+ENWK9jA6sd4FoaRnPws8ZyDnO2M7vhm/dJiPjs6kgnLyp8Xp+fPru7DNTvb+e1Obtea4hg6RuuhHT18c+l3IaZVYTzBCsPqr+d4xqvw14MRe/hmPltxiCRYAYxXK6w82xmR6eGYhpUe3rtjZnbvXjSPBcjvTOtKvqRNznYOZD04KmNY/M6bZXY1OdrRz1YMwQpvvMp/9Ox2+yA3yD0bQpOD6MfwOzw2fj8+MVNvViT3EoYst2kV8na7LW88bRMvNrDC5Jql+4SJBKsjSXGgGXbI2kAxOsxfmvI/irrNkg/WzuTIJmaZp68eej3ozZs1+HqwRbmE0S9dos2SD5bZUq1Co7UeXJd0vzq6tT89PjazT0M99Lynp5DrjHawiuNVYOZh+qfZg9RsZzL8kJV2eT8L+1ZaFIesQFZPmwv8E3ArwWRif5/cMrMdOxrqJnf1APUIXd1QJXd8lvCE1e8D9W3ixG5mjxQ9sVs7hZVCD+tBBh+UUvzXSzhYFtITo5bKne1crFXXSBWy1DewTDdYfrx6dPrTCxcuvHjhi0Fvzmp9jld0Cs1dTY6+1tnJUg2WmdnEzOzVy3/73/97aeBbUqv0nsGONE/V+etvff/43U5vzAgFfBdhYosfwVR50pIMlhuvFFbgyY4dnfTy+ET1qTp//a3sixcvXjS7eDFzvz5D2Xgklug2SzJYVrt7lc7SYI4dNZvfM1iirfXg+qkqvTFLByXRr7glftgyE1oPmmKwwr9zsDc1WWnYqSrR90vrGNfOlJxAFji9YFlhvPrnf/jiy+9eCn/fvUXdpapU9P0asYDWIk2IBavheBXaqrBdVb3oIlWl6JeCTk9qGIxYsCokZpYbstJZujyIxfDNGzxVpS6xeW9mwd1FGMMPfFEcwZr76/e7Pzv/ecUbS9fqMt/UJ8fvWNnNHTZVRQxfgUnNLJ2Ffoh1c5EE68ULX3z53Uu23KwG36chK/b0+PcN7yh8UvZrH1qqStGvEMS0PRJJsKq+JRv92xLQLNYkVRZqrYroF7YkFqyT2c2qfXc3ZCVJ8tfvd82sem24map7fzsMWbFWqdkFhcGqocj69bcbN8zMjoe+HVETC1Zzfm3Y8QJ+q3GsZlVYrNUF2cGqod427zkIS5desNyQVdogP2S5F/tqVtFW41jpMjCmwaoJ0eErhOcijJtesKokkySdpdlm/fwvv3nuz/O3/vCv/1W4fs830JocVTzCwaoJ0X6F4LNvrr32k6+HvhWtmcxm4T7AcJX5yc9lh1mls9TMXLN+/pfflP71YrzO3ssQ9/7630ZqtZkN+tXRqjC8CStdGayv09f6ujEtkJyw3KqwZqH34oUv3Nb7utJCvXtLWK5WpKq5DTa/nh6/M4adrM++ueZ3SOIgGawy8xMR3MLQzH52/nO/Htzq/ZYNoK1XjFq1xWfo2bNnZlbzmF8jaVZkJJeETmFhePYviWtW1nN//k93oWY9uKUtK+ZvsXvoj/PX/92/iVptwAUrqzRe7TYrtCXhZ99cNTOWhEFYuTDM6q5TXgvLSfceJku1suXfPeK1sfE9yOrqO3nkHskvpvXt2Ze+6bkIE7OJJeV/Evdnqxs0K/lTqdmk+2zZNjcP1uodjqGNV2b22k++WnENtfWV8JLQWV4YLvWluDDMmxT+zpmSV69+h2248GJ+A2stjGDes2fPLl68mMt6dwvD8ILlflzr/tHVWg9aBBPWyeymnS3HloLip6S2Tv5s971V+e7Ld7/78t2PP/54s7/OCFaveCamcWCXDvkJy6mZs7KWRqTFBlPZtRslqdOB69GTa69eOZvntxy7vFHNX27Csr424JmweiC86Z7lN+DNzH2f6uegS680elyXb6d/qHmr+xBdZOvRk2u513z35dIv2Mb9Kv7qjiFhxYXh+DbgIxHJhOXUPICyj8vzL985d26TTNfHq91s5carldqavyyufvkJy7+YfWvrQxYTVg+iCpZXVa7nX77jDvzNHf57eHiYu+Ybb7xR9c5rytVKttx4tVawikiY01uzwquVESw92XI9//IdW6TK/TfbKfeaNE2LF6ysX91lq5Vg5Yy2X/XBsvaaRbD6EXmwsnZ3dy0zW92/fz/7Vv/6YrNskS0rlKsqW9s0q4tg5YynX7lgWbNmRROsdLZiM5dgBS3brGywkiTJ5al0znJXM7P9/f3sorI0Wxs3a90NrFbEmrBisKybZoUXrMy5XtXkghXJvYRb8gNUNkxJkmRDli3URx99lKapn7Ze2Ltr+WzlnxixYb+K9w/2o617Ia2Qg6D65RTvNCyK5dRo+QMtc0Y9YVWNUe7KvmKOH6+y5cpmy86atXrvoKpfg4xXK7U4f1nvCSsdsqztDfhQJ6wVwZKbsMYVLMs0yy0Ji9tVlklVabyK1yxsbLmf3TX+cfP9CjFYk5IzzoSWkA2DZds1SzFY6Sx1J4oIGV2wvL29PT9kNZdLW/b1y6PW/MfXn+3c5ISefs5VbGitw2JD7ldVsKy9zazwamVR3kVoYw6WFZqVWwM6uTyVXscrb5aVTCjFfmXTkExqH9ehX+6Ep3VvTzgJqwmWtdQsgtWbUQfLypqVW/GVBit3r2L2TblmzSO06mvsHyi19MUIDNiv+mBZG5tZBKs3Yw+WLZplFcNUdj/eClvvxcBlj3h46oassX+BS/S8i991swhWbwjWXHFLq/QgrGynSo8steUh6+n/nP0ouw3OmhMeV4pv8vI6HcFcj7ZcGFp1swhWbzgOa246ndpytorHOhSb5f5uzcaWexgJW9Qqe8FZq1+x1sp6ORCs5gAxHs5BBRNW3t7e3nQ6PT09La4Q68839PyEdXx8bIskNbz/eJv5K2LtLiGLmj9sVumQ1eeE9Sub/yB9avU/KnFOWASrUtXeVqlss9w2lquVme1MjrY52oWEleo6YU7DhWFvwfql3Sz+LJaVK86jRo1grbS3t2eLEw9ryuWDtb+/b4sFZhfoV6nu+rWyWX3Wykoj9KGZ2advZn8wCBYW8XILxtybXKec7mpVRL/OTCxZHC/Wbr/qmxVIsJxMtlKChdCNsF8l95x2cC5R1WZWz7WyVcFK3//dw3t33EWCBTHj6dfizIHUmh2Uv0G/SpvVT7B8rawYoQ+XXkrf/52ZPbx3Z2WwFE8kNA5riNs2h1BoWfeAj9xRFLZRwp4ev9Nwt2gb2VrVc7Uys3SWrnzWccVaGcEalfH0awMrDwSrPTIrl8u+HoXqw/JX/2py66E96Ok29ItgjRf9qlHar8ZHk7bWr+J4tXprKmoEC3P0q0auXysXXMu6mb8qxqv5h5yteyM1ECyUo181cvv6HfWr+e5VUZS1MoKFhuhXjX76tfQXPsxf1e+42717a314LQQLm6BfNVrp1w8Hf/zEDl5/7736q1bnLc6dLoKFFtCvGtv065ODA3dhqVzZI0Xd//x4ZWZmsd5FaBw4ih7Qrxql/frh4I9V13/9vffy2+3ZWt27Z/NgRXiYuzFhoQcDzl9rPZXGINadvz45OLD/ttd/uxi4lmer6DFhYWCd9qv0yYpC7pf3428rh6wzafr6uczMsdhuj3jCIlgIS+v9WvkEa4H3q7Jci0c0mjdrqVa24kRCS09SyVNzCBaCtn2/mjwjpHcWr8XSrP5uuN5it5St5Ue4ff3cueyhDE2CJTpeGcGCnC0TVt+vdYNV/nc78+O//WHpIy4u/PqDD9yFT+3B4mbFGSw23SFmyy38YlbWGsFqZN9PR/E69/7dH5ablfXp7IFFeoC7x4SFqLS2Bbb+hFXURbaqgvXc+3fdY64uxDlhESzEbIN+XXrl7ZXXmU6nOyuetOZM69kqNuu59++aWSZYcd5FaAQLo1LVrxf+5W6T50aq8u20cpnmtZgtH6x5p8xs+TFXCRYQj2y2Lr3ytn/Go6pm5Z53sj5tPcfLWd6Gi/PR3B2ChdFxwXr+5Tvnzp3Lxsg9s7ctntXNMm3KPgF41fPm5jQp1/ydb9evDe40IFiAEv/stu6p25xsp7KFcorP+O1f7y6Ulqt5ts7e4Tr9qqpVOktrQkawACW7u7uff/65ZYLla+Vkh6nc5dwFf/2acrls1UekSmm/tjkUQ/T5cpw4HzQHWEv2mb2TJHH1cZOUv+yvnNvDevXKV5aZs5IkOTw8PDw8zP6VF/buWqYy6Sz1f1betmSSFP+s/ymefSDdWhnBAkq5VNnykOW41/jXP3pyLfdX3IX79+8XmzW/5uTsURmy8ermcNN0Uas0c1kVR7pj1HIrO6f0Nb5Z2ZDV38PoBje/QnTN+nY6f+7VZFLynK+5Zm13FH5Jm7RzxYSFcXIbWGZ2fHxsZvv7++7F7BZVTu49lL7SzNIFf4XDw8ONb2du/mo2gpVPUql77C3xLWuChbGbTqfuQjZV2Sv4BtW8k+J1si9mm/XC3vxI+s2GnYp+pTUrvvlrZ2biG1hGsAAzm06nbsjyiSle8LvvxXjldq+qhi/vH1+6Y2Y2s5PZzS0LsijX4sXiHzdVRVErYw8LcKbT6d7entspz+24O7ntquLRWLlN+tKjTM+un8lHKw8hXdwOy4ogVQ7BAuZcs8zs/v37fmKy5ejkRqfcIabZilWl6scffzSr20tq8SHwo+mUR7CAM24/68aNG27XKZstKzSo9Nj3+q2u4+Pj3d1dWyclpdesr1h8nfI40h0o56ctW+e86NJg7e/vJ0ni7pH0B9ljAwQLWGFvb286nZ6entqqh2qwQsL8ARP+vkhsg2ABTVWdeFiKVHWBYAGbyz7Yg0ehukOwAMjgwFEAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkEGwAMggWABkECwAMggWABkEC4AMggVABsECIINgAZBBsADIIFgAZBAsADIIFgAZBAuADIIFQAbBAiCDYAGQQbAAyCBYAGQQLAAyCBYAGQQLgAyCBUAGwQIgg2ABkPH/CNw/Ezo2BNEAAAAASUVORK5CYII=\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-XiAQYYhsoFofjiGDYu2ELG\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-5PLwcHPbfjZFkP3zC3s2F5\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">17</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-5PLwcHPbfjZFkP3zC3s2F5\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-YguEbjDEsBud2t75h2wELz\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">18</h4>\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAGQCAIAAAAP3aGbAAAU0ElEQVR4nO3dv2skZ57H8W8XHW40LPgGCzFc5HNgekUz5m7OkUOh7AJjnG50TOA/xDgQF21+XLLh4MiRTgs3DJqOvI7MICyMYXC0kWmqLnikR08/9aOrnvr5fZ73i4VtaTTamt7WR5/n209VrYqiEADQIJv7AACgLQILgBoEFgA1CCwAahBYANQgsACoQWABUIPAAqAGgQVADQILgBoEFgA1CCwAahBYANQgsACoQWABUIPAAqAGgQVADQILgBoEFgA1CCwAahBYANQgsACoQWABUIPAAqAGgQVADQILgBoEFgA1CCwAahBYANQgsACoQWABUIPAAqAGgQVADQILgBoEFgA1CCwAahBYANQgsACoQWABUIPAAqAGgQVADQILgBoEFgA1CCwAahBYANQgsACoQWABUGM99wEAbT3LrsuffJe/mP5IMJdVURRzHwNwxGl2XbUWMJ/LhdhKBg0LC3W6uhYRWUlWMbnIvMe//vqriHzwwQcTHRxmQsPCstznlNxHVUnT1PXfv/yvb775htiKGIGFRXBzSmpjqdV7RP/3yz8LbStSBBZm5kWV9Esry8SWkFxxYVsD5lQuVoOklYh8+vSnT5/+JCJfffWVmXAhAgQW5nG6urZj9ZrJuhX+Kv306U//+9//KcRWLFgSYgbtJlb3buWzpm8lFZuz6jCV147AwqRaT6xEjkXVwbclttJAYGE67YtV+6g6+P5dYos3EzUisDCRx7SSuj1WIqFRdfA/1D22hORSgqE7ZlD5sruVz/qnlYjcyotbaXumjn0z8csvv2Qqv3w0LEzhoF6JZKvHx4OEVO3/bse29fXXX3/77be0rcUisDCFusAaNa0ODqBLcv3bF5fE1jIRWBidl1Yikq2mi6qDIyG2lCOwMLpyvZolrSzeTNSLwMLovMD6eTVnWlm8magR7xJiXOX14ELwZqJGBBYmtZB6ZXWNrb/9z0shtubDkhAjKterpQWWh6n8whFYGNEyp1dHEVuLRWBhFKfOHW4ykbwQ0RNYBm8mLhCBhVGcnZ3Zx7/tLkUkL5QFlsGbiYtCYGF4blq5drvdtAcyGE7xWQgCC8N7/vy5++F+v3c/1Btb0iW5iK0xEFgYmJdWLje5EoktYSo/KAILQ9put1nWtLkvzbYlxNZACCwMqaFeedJsWyIikr/L225VhYfAwpDaB5YRTeEitqZBYGEwR9eDdVKNLTKrs/XcB4B4hKWViKzXazezNpuN6Iwte1piu+TiTN7OaFgYRnC9MrySZWjMLFeb2HqX/+sERxINMh7D6JNWIrJe+2Vfe1pJx0tBoA0CCwPYbrc9v8Pvv/+ePxjkkJajObaeZQu9XtgyEVgYQM965Ykvs6QptvgZ7IAnC4vgRl6WZRGsBzEGAgt99V8Pmol7lmXDNrUFYqTVU+SvD6gTfb0qZxZjrPYILPTSczdDmkqZxRPYFs8UeumfVtFsc8cECCyE6z+9SpZXslgVtkRgIdzg9QpoRmAh3OAbplJeD1Ky2iCwEIhxe09scQjACw6B3LQKq1qM2x38JLbC04QQ3rg9y7Ioz6fB0hBYGIYpXO1ji3pVxhjrKAILIeqmV11jK3GMsboisNDZ0Qu3M4zHSHhhoTNToNrXqPJXsh5EGAIL3Xi7GdrEFoULQ+GVhM5MSJkYChhaUa9czhiLH8bjeI7QgalX5cbErH0QOTeEOYbAQjcNA6w2Sz/qFfogsNCNuxLEgPIivy3Y5XAELzu0ZcftlfWq61uHQr1CdwQWOnDH7ZV/2ty8uJhMpVt5Qb1qicBCK+bkwYZzBlO4hUSzzWYz9yHEL+lXGAK0SaXKUIt73G7SarPZBMTWSXFFvWqJwEIH7p2ZG8ZVVC3a1khWRcHeDxzx/Pnzcjx5+93tPL4yrVKoV5WO/kupV52s5z4A6OC9P2iGWTab3LQ6OnqPj7f1P8syG9A2yyLL6LnQsHDc2dnZev34u82LLSnll/0y85m469Unn3xiHtinyH0emv/t1Kuu0vpNiABnZ2dy+INnq0TDPCudnmX/meYp8v7V6wfmQ8ZbPdGwcMTp6vqPf3ppP/SqVuVGB/tD6w7prZgalkmfV69emQ8vLi7a70T7bXcpIu9yGlYHSfwORB+3xYv3by/th5VVy/sr+YPyd4sprQK4bevJ5uWTzUsui9wJgYUjTlfXIuJl1n6/d8/FaUiu6Q50cl69as+LLTKrPQILbb3fXbqxlef5fr/33ijMHlR+h/jqlZdWncZ2JrNubm7IrPbY1oDWCpGH0LGTY3eFaFtDwInQ6mw2Gy+tjg6wymxmDXlkUaNhoYlZD5btdrtyXdo/iH7WPqCjd/SAi8BCuMrYSkG5XknyJyRNgyUhapXr1c+rz8pfZjOrzxkq2pFW0+BZxmASKVybzea7777zEur8/Hyu40kKgYVqLetVWfSxZReDXAJseiwJMQp3nRhZfnkhlWXZ+fk5yTUNnmWMK7K0uru78z4T9+6NpSGwUCF4PRi9yiZFvZoMT3TSvvhrdrq6/uKvvAxaKdcrEbm4uOjzPV+/ft3nr6eGGVaiHjrUlYj87T+uTuVaRMy1mahXdVI7WXKB+NWaorr96/efX016MFrU1SvWg1PiucaBU87CrTFGvWI92BWBlaLb4kXtlXmL+5OcLdaDUrOJv3kfFqvFMRBY6aqLLa4yXlY+czDPc7O7nWCaEoGVuqa2Rb0SEZHNZlNuUt6FwAKwHgzANd1x4HR1na0kf3hREFgicnd3V74h0NFx+9HbcBBYAWhYOHBbvCCtXM31qgHvHo6B5xToxkyv2uRRw3iLehWGwMIBLi7uqrxQX/u9V97tstEfgYUDrAc95emV9wVH86icbtSrYAQWHlGvXJV7r9x65d7iDNPgucYj6pXHWw96d7oO2/tOveqDwMK9uhMMYZitDA2RZPcxMLQaD4EFVPDWgyatzOOjxaohtqhXPRFY8LEe9LjR0zCxcleLzV+JYDyngM/UK3NbZpNB7lX6ytWp5Wk61Kv+CCyIOAMs6lWZtxj03iWsxBhrJJxLCBECy2GnV27Dsuo6FGcOToOGBdKqydGNo5Vf5n0laTUUAgt45L45uN/vzQPvQn1eZuV5bj/jPmboPgae09Sx/aqByazKHe3mk2Yl6A7dyxMu6tWACCzcYz1Yab/f170JaDPLbVj2T80Xk1bD4jZfwCN7n+ry2tDM4OVwE4MXVSwDx8a7hElj3N6sfP5z8zzL/bI8z9+8eTPesaWJXwhArd1uZzuXkee5HcZLaWeW+2Wk1RhoWOlyx+00rDbKhcuuEy3TuUirkRBY6WI9GKbyOlnr9dq8Y8iUfVQEVqKoVz15sXVzczPTgaSFGVbqSKswu93u/dtL++HZ2dmMB5MOtjUAIU6KK6FYTY6GlSJ2tw+i4Y7ZGAmBlTTWg2FMvcL0CKzkUK8GQb2aBYGVLupVGOrVjAistFCvBkG9mguBlSjqVRjq1bwILKAb6tWMCKyEsB7siXo1OwIrRawHoRSBlQrqVU+mXrEenBeBlRzqFfQisJLApXt7ol4tBK/jJDAtHgTL6tkRWPF7lnHpK0SCwIpfziUa+3H7KSVrXgRW5KhXiAmBFTnqVU8nxRWz9uXgmu4xe5Zd28CiXoWpu/MgZkHDAmrx7urSEFgxYz3YE4vBpSGwksB6MAD1aoEIrGjxBnxP1KsFIrDiR70KQL1aJgIrTtSrnqhXy0RgAT7q1WIRWJFjPRiAerVYBFaEWA/2Qb1aMgIrZtSrANSrJSOwYkO96oN6tXAEVrSoVwGoVwtHYEWFetUH9Wr5CCzgHvVq+QisOLEe7Ip6pQKBFQ/Wg31Qr1QgsCJEveqKeqUFgRUJ6lUf1CstCCykjnqlCIEVA7desR5ExAgsJI2b4uhCYEWFeoW4EVjqMW4PRr1Sh8ACoAaBpRvj9mDUK40ILABqEFiKUa+CUa+UIrAAqEFgxYB61Qn1Si8CSyt2MyBBBBbSQr1SjcBSiXE70kRgISHUK+0ILH2oV0gWgYVUUK8iQGABUIPAUob1YBjqVRwILABqEFiaUK/CUK+iQWABUIPAUol61R71KiYElhqcPAgQWDo8y0irENSryBBYOuTF42PWg0gWgaUA9SoM9So+BJYC1CvAILAQJ+pVlAispWM9CFgE1tKxHgxAvYoVgQVADQJr0Th5MAD1KmIEFgA1CKzl4lycANSruBFYOrAeBITAQkyoV9EjsBaKcTtQRmAtEdOrANSrFKznPgAcKEcV9QqwaFgLQrEKRr1KBIEFQA0Caykq6xXrwTaoV+kgsACosSqK4vhXYWTUqz7yPJ/7EDARGhZ0Oymu5j4ETIfAgm5Mr5JCYM2P9WAw6lVqCCwoRqynhsCa0+nq2tQr7wePn8M2Toorxu2pIbAWgaUN0AbnEs7mdHUtq8NPFSLUq3bYLJomGtZ8DtOK/yeAo2hY8zh17jZIVHVFvUoWgTWD7Xb7T9tsv9+bD3/bXdo/Yj0INCCwZpBlmYis12sR2e/3TzYvzefd5EId6lXKWI7MbL1em+QSkSebl5vNZtbDARaNk5+ntt1uTcOqZNeJu91uogNShXqVOJaEU2tIK3HWibZqkVyARcOaVHO9KqNwuahXoGFNqlNaCYULOETDmk7XeuWyVctIMLaoVxDeJZxScFoBMPgRggLUKxgE1kS2223w32U9CBgE1kRYDwajXsHip2gKfeqVh3qFlBFYU+hTr7z1YGqoV3ARWKMbsF4BiSOwRjdgvUptPUi9gofAAqAGgTUuxu3BqFcoI7DGxbgdGBCBNSLqVTDqFSoRWAtFvQLKCKwRsbs9zElx5d+xERARAms8z58/H+pbpbYeFLm/pyzgIbCWKOX1oKlXDLBQicAaBeP2XqhXqEFgLU7q9UqoV6hFYA2vz6WQPSnWK6AegbUs1CvqFRoQWMMz9SrP87kPBIgNgTWw7XZroqpyVdgpxZJaD1Kv0Ab3JRxeXVQdHWzFtB7kRooYAw1rFHVNqv0wXvXP+WazefXq1atXr8xjG1512NqOlmhYQ7LvDwa8SxhTvbKyLMuy7Oidq7OV5CKyktPVNatCNKBhDSl/4H7GPOgUYRHUK/cz6wdSVbjM9Cozr8WVnK6upztWaEPDGszZ2ZmI5Hm+Xq/NxMqdW9U9NmKqV15auUxmeYUrcxaDmUjO2hD1aFiDubm5MQ/2+32e5yaDTMPyEqq5bWmvV+6Hlf9Sr3A92bw8+CtjHh60WxUFJ24N5nR1/cc/Hf74ZVlD1TJiutPE3d2d3YZ2cXHRZiHs/vN/212KyLucMRaq8ftsYO/fXrofmqqVO9zkmuMAR7TZbOy/rv3Mzi1cXtsCPDSswZSnxV7bMryfZC+24qhX0qVhefb7vV1cAx4a1ojev70sB1B+aI7jGoVbr4ywM8BJKzSgYQ2j7s34n1ef2cdH909GU69E5Pz8PCywXr9+PdxBITY0rBG5aSUiu91OdSQ1KNcrYAzswxpAp72ONrO8wqU6y7y9V21OnKxEvUIzfiuOxatXZdEUrnK9uri4mOtgEDca1swiyKyGre3AsGhYfSV+7lu5XgWvB4GjeGGN4uh6MGLB60EGWDiKwEIvQ43bgTZ4bQ0vnXrFbgZMjFcbhsT7gxgVgdVLyhP38oX6+qwHGWChDQJrYOmsB6V0tiD1CmMjsBCifF4k43ZMgFfYkJKqV9568OLiIvjiE6wH0RKBhc4q65WEXk8GaI9XGAK58RR2rT6DeoX2CCx0U1evgAkQWEMyt9hLgTvAqnxzkBTDGAisXlK7TXHdm4OsBzENAguBzDXp6/ZeVUYYtQs9EVgDi3hVWK5XZtZubxZ79Dt4KUa9QldcwA8h7D0m7H7RhjvFAkPhhTW8KEtWm3vQlzXULuoVAhBYfVXO3aPMrEp2SVj3p+YB0ysMgsAaQF1mnUi0seUGUOX9U72EYnqFQRBYYyrkRKKNLTOrsvevbk4oF2mFYATWMJo3ZJ3I1UcffTTZwYyh8qZk+/0+fzDHQSE53Kp+SBXX81vd//cfPvqzefDjjz9OeERjKW9xEJH1eu29RVh+x5B6hT4IrIFVXoP0D//yZ/fD77//XkQ+/PDDiY5pNJWx5SaUF15v3ryZ4KgQMfZhzebu7s480JtcdpHoJpddHto3EM0D0gr90bCG55WsynpVpje2rMrCJSI3NzfTHgiiRcManh3Ad7pFhZ3K6x1yvX97KSK3xYuzs7O5jwVxomGN7uOPP7aP6+rV559/bh//48e/iMjPouxqy2avbGqXr8DEaFij++GHH8wDN7nqmLQSEbt7S11yAeNhH9Z0bHJ53HpVpmLrKfUK06BhTerp06e//PJL3Z/+4+9/efxgdfBHFC5ACKzpPX36VERsbJkPK9jR4uKTi3qFyTB0X4ojbymuqj+9hNgisDAZAmtZju+EWFhykVaYEkvCZTm+h8v8finFllkqLqFwAeOhYS3dkpeK1CtMjMDSYZmxdVJckVaYEoGlTPvkshe0kXFO96FeYXpsHFXmtnjRlBGFsx/CcXd3Zy8OMezBDP49gQYM3VU6Mpsv/EtEGANe0Cadu2xgUWhYuh0pXCJSdca1KVzBV20270hSrzA9GlYMvMJVWa885gRGk1ntJ1z3++wZe2ImDN3jZK8M0eaCNtLumjaP52AX1CvMg4YVJ3NliLoL2tRdH+L4ZSEKERaDmA8zrJjVXdDGYy/C1aQgrTA/AitytVeDcNnNEEX9f0SEtMLcWBLGr/mCNo8X4WocZhJVWAKG7ulqf48M0goLQWDBTy7iCYtFYAFQg6E7ADUILABqEFgA1CCwAKhBYAFQg8ACoAaBBUANAguAGgQWADUILABqEFgA1CCwAKhBYAFQg8ACoAaBBUANAguAGgQWADUILABqEFgA1CCwAKhBYAFQg8ACoAaBBUANAguAGgQWADUILABqEFgA1CCwAKhBYAFQg8ACoAaBBUANAguAGgQWADUILABqEFgA1CCwAKhBYAFQg8ACoAaBBUANAguAGgQWADUILABqEFgA1CCwAKhBYAFQg8ACoAaBBUANAguAGgQWADUILABqEFgA1CCwAKhBYAFQg8ACoAaBBUANAguAGgQWADX+H+74+2g2jjrOAAAAAElFTkSuQmCC\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-YguEbjDEsBud2t75h2wELz\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    \n",
       "    <div class=\"ipyplot-placeholder-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "        <div id=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-NxT4HGryuEcAntx5VCKzqB\" class=\"ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc\">\n",
       "            <h4 style=\"font-size: 12px; word-wrap: break-word;\">19</h4>\n",
       "            <img src=\"data:image/png;base64,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\"/>\n",
       "            <a href=\"#!\">\n",
       "                <span class=\"ipyplot-img-close\"/>\n",
       "            </a>\n",
       "            <a href=\"#ipyplot-content-div-fCT9bVPDmLqvHw9VWwm5fc-NxT4HGryuEcAntx5VCKzqB\">\n",
       "                <span class=\"ipyplot-img-expand\"/>\n",
       "            </a>\n",
       "        </div>\n",
       "    </div>\n",
       "    </div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "index = np.random.randint(0,len(dset)-1)\n",
    "show_max_views = 40\n",
    "\n",
    "c_data= dset[index]\n",
    "print(\"shape path:{} \\nimg_id:{} \\nfocal length:{}\".format(c_data[\"path\"],c_data[\"img_id\"],c_data[\"focal\"]))\n",
    "images_array = np.transpose(np.stack(c_data[\"images\"],axis=0),(0,2,3,1))\n",
    "ipyplot.plot_images(images_array, max_images=show_max_views, img_width=200)\n",
    "\n",
    "images_array = np.transpose(np.stack(c_data[\"images\"],axis=0),(0,2,3,1))\n",
    "plot_camera_scene(c_data[\"poses\"],status=\"camera views\",scale=0.4)\n",
    "ipyplot.plot_images(images_array, max_images=show_max_views, img_width=200)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0efa36f5",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:meshgen0]",
   "language": "python",
   "name": "conda-env-meshgen0-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}