diff --git a/.gitignore b/.gitignore
index 58ce260..91c0477 100644
--- a/.gitignore
+++ b/.gitignore
@@ -7,6 +7,8 @@ scratch.py
 service.json
 cache.json
 .env
+.venv
+tensorboard-logs
 
 # Created by https://www.toptal.com/developers/gitignore/api/jupyternotebooks
 # Edit at https://www.toptal.com/developers/gitignore?templates=jupyternotebooks
diff --git a/README.md b/README.md
index 3596148..0f8c652 100644
--- a/README.md
+++ b/README.md
@@ -4,7 +4,8 @@ Notebooks:
 * [analysis](analysis.ipynb) for a intro to the dataset and premise
 * [artist](artist.ipynb), [album](./album.ipynb) & [playlist](playlist.ipynb) investigations
 * [stats](stats.ipynb) for high-level stats about the dataset (Spotify feature miss ratio)
-* [playlist classifier](./playlist-classifier.ipynb) using Scikit to classify tracks using the contents of playlists as models
+* [playlist SVM](./playlist-svm.ipynb) using Scikit to classify tracks using the contents of playlists as models
+* [playlist NN](./playlist-nn.ipynb) using a multi-layer perceptron to classify tracks using the contents of playlists as models
 
 Combining Spotify & Last.fm data for exploring habits and trends
 Uses two data sources,
diff --git a/album.ipynb b/album.ipynb
index ca3629e..1e1046a 100644
--- a/album.ipynb
+++ b/album.ipynb
@@ -1,85 +1,215 @@
 {
- "metadata": {
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.6-final"
-  },
-  "orig_nbformat": 2,
-  "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3",
-   "language": "python"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2,
  "cells": [
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "# Album Investigations"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stdout",
+     "output_type": "stream",
      "text": [
-      "226 scrobbles\n1 days spent listening since Nov. 2017\n0.68 minutes/day\n"
+      "437 scrobbles\n",
+      "1 days spent listening since Nov. 2017\n",
+      "1.32 minutes/day\n"
      ]
     },
     {
-     "output_type": "execute_result",
      "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>acousticness</th>\n",
+       "      <th>danceability</th>\n",
+       "      <th>duration_ms</th>\n",
+       "      <th>energy</th>\n",
+       "      <th>instrumentalness</th>\n",
+       "      <th>key</th>\n",
+       "      <th>liveness</th>\n",
+       "      <th>loudness</th>\n",
+       "      <th>mode</th>\n",
+       "      <th>speechiness</th>\n",
+       "      <th>tempo</th>\n",
+       "      <th>time_signature</th>\n",
+       "      <th>valence</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>0.235808</td>\n",
+       "      <td>0.514851</td>\n",
+       "      <td>209165.501144</td>\n",
+       "      <td>0.700108</td>\n",
+       "      <td>0.000498</td>\n",
+       "      <td>5.306636</td>\n",
+       "      <td>0.400828</td>\n",
+       "      <td>-8.853126</td>\n",
+       "      <td>0.560641</td>\n",
+       "      <td>0.318519</td>\n",
+       "      <td>109.820730</td>\n",
+       "      <td>3.981693</td>\n",
+       "      <td>0.499444</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>0.210592</td>\n",
+       "      <td>0.085053</td>\n",
+       "      <td>68305.827980</td>\n",
+       "      <td>0.090924</td>\n",
+       "      <td>0.001615</td>\n",
+       "      <td>4.180808</td>\n",
+       "      <td>0.196045</td>\n",
+       "      <td>1.101856</td>\n",
+       "      <td>0.496878</td>\n",
+       "      <td>0.126598</td>\n",
+       "      <td>34.338501</td>\n",
+       "      <td>0.134211</td>\n",
+       "      <td>0.188996</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>0.010700</td>\n",
+       "      <td>0.388000</td>\n",
+       "      <td>48507.000000</td>\n",
+       "      <td>0.494000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.123000</td>\n",
+       "      <td>-11.561000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.089200</td>\n",
+       "      <td>81.302000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>0.167000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>0.049700</td>\n",
+       "      <td>0.427000</td>\n",
+       "      <td>183320.000000</td>\n",
+       "      <td>0.604000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.161000</td>\n",
+       "      <td>-9.636000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.203000</td>\n",
+       "      <td>89.060000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>0.391000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>0.180000</td>\n",
+       "      <td>0.528000</td>\n",
+       "      <td>211187.000000</td>\n",
+       "      <td>0.715000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>0.389000</td>\n",
+       "      <td>-8.561000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.321000</td>\n",
+       "      <td>91.546000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>0.494000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>0.261000</td>\n",
+       "      <td>0.588000</td>\n",
+       "      <td>226520.000000</td>\n",
+       "      <td>0.790000</td>\n",
+       "      <td>0.000277</td>\n",
+       "      <td>11.000000</td>\n",
+       "      <td>0.624000</td>\n",
+       "      <td>-8.336000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.420000</td>\n",
+       "      <td>118.965000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>0.628000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>0.904000</td>\n",
+       "      <td>0.676000</td>\n",
+       "      <td>513707.000000</td>\n",
+       "      <td>0.821000</td>\n",
+       "      <td>0.008230</td>\n",
+       "      <td>11.000000</td>\n",
+       "      <td>0.796000</td>\n",
+       "      <td>-5.834000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.549000</td>\n",
+       "      <td>180.392000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>0.879000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
       "text/plain": [
        "      acousticness  danceability    duration_ms    energy  instrumentalness  \\\n",
-       "mean      0.148391      0.722531  207801.309735  0.704982          0.000695   \n",
-       "std       0.157705      0.084484   48556.204645  0.123508          0.001212   \n",
-       "min       0.002070      0.512000   59118.000000  0.505000          0.000000   \n",
-       "25%       0.045400      0.646000  156780.000000  0.579000          0.000000   \n",
-       "50%       0.133000      0.744000  213358.000000  0.697000          0.000000   \n",
-       "75%       0.155000      0.756000  237297.000000  0.867000          0.000333   \n",
-       "max       0.600000      0.836000  291808.000000  0.881000          0.002850   \n",
+       "mean      0.235808      0.514851  209165.501144  0.700108          0.000498   \n",
+       "std       0.210592      0.085053   68305.827980  0.090924          0.001615   \n",
+       "min       0.010700      0.388000   48507.000000  0.494000          0.000000   \n",
+       "25%       0.049700      0.427000  183320.000000  0.604000          0.000000   \n",
+       "50%       0.180000      0.528000  211187.000000  0.715000          0.000000   \n",
+       "75%       0.261000      0.588000  226520.000000  0.790000          0.000277   \n",
+       "max       0.904000      0.676000  513707.000000  0.821000          0.008230   \n",
        "\n",
        "            key  liveness   loudness      mode  speechiness       tempo  \\\n",
-       "mean   6.654867  0.289531  -6.128080  0.818584     0.314686  109.640204   \n",
-       "std    3.064550  0.224769   2.604052  0.386218     0.152575   25.150042   \n",
-       "min    1.000000  0.047900 -16.808000  0.000000     0.162000   70.128000   \n",
-       "25%    7.000000  0.110000  -7.491000  1.000000     0.180000   85.486000   \n",
-       "50%    7.000000  0.330000  -6.164000  1.000000     0.252000  108.126000   \n",
-       "75%    9.000000  0.356000  -4.197000  1.000000     0.406000  129.983000   \n",
-       "max   11.000000  0.959000  -3.626000  1.000000     0.863000  144.056000   \n",
+       "mean   5.306636  0.400828  -8.853126  0.560641     0.318519  109.820730   \n",
+       "std    4.180808  0.196045   1.101856  0.496878     0.126598   34.338501   \n",
+       "min    0.000000  0.123000 -11.561000  0.000000     0.089200   81.302000   \n",
+       "25%    1.000000  0.161000  -9.636000  0.000000     0.203000   89.060000   \n",
+       "50%    4.000000  0.389000  -8.561000  1.000000     0.321000   91.546000   \n",
+       "75%   11.000000  0.624000  -8.336000  1.000000     0.420000  118.965000   \n",
+       "max   11.000000  0.796000  -5.834000  1.000000     0.549000  180.392000   \n",
        "\n",
        "      time_signature   valence  \n",
-       "mean        3.915929  0.487842  \n",
-       "std         0.361495  0.159650  \n",
-       "min         3.000000  0.062200  \n",
-       "25%         4.000000  0.379000  \n",
-       "50%         4.000000  0.432000  \n",
-       "75%         4.000000  0.666000  \n",
-       "max         5.000000  0.784000  "
-      ],
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>acousticness</th>\n      <th>danceability</th>\n      <th>duration_ms</th>\n      <th>energy</th>\n      <th>instrumentalness</th>\n      <th>key</th>\n      <th>liveness</th>\n      <th>loudness</th>\n      <th>mode</th>\n      <th>speechiness</th>\n      <th>tempo</th>\n      <th>time_signature</th>\n      <th>valence</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>mean</th>\n      <td>0.148391</td>\n      <td>0.722531</td>\n      <td>207801.309735</td>\n      <td>0.704982</td>\n      <td>0.000695</td>\n      <td>6.654867</td>\n      <td>0.289531</td>\n      <td>-6.128080</td>\n      <td>0.818584</td>\n      <td>0.314686</td>\n      <td>109.640204</td>\n      <td>3.915929</td>\n      <td>0.487842</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>0.157705</td>\n      <td>0.084484</td>\n      <td>48556.204645</td>\n      <td>0.123508</td>\n      <td>0.001212</td>\n      <td>3.064550</td>\n      <td>0.224769</td>\n      <td>2.604052</td>\n      <td>0.386218</td>\n      <td>0.152575</td>\n      <td>25.150042</td>\n      <td>0.361495</td>\n      <td>0.159650</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>0.002070</td>\n      <td>0.512000</td>\n      <td>59118.000000</td>\n      <td>0.505000</td>\n      <td>0.000000</td>\n      <td>1.000000</td>\n      <td>0.047900</td>\n      <td>-16.808000</td>\n      <td>0.000000</td>\n      <td>0.162000</td>\n      <td>70.128000</td>\n      <td>3.000000</td>\n      <td>0.062200</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>0.045400</td>\n      <td>0.646000</td>\n      <td>156780.000000</td>\n      <td>0.579000</td>\n      <td>0.000000</td>\n      <td>7.000000</td>\n      <td>0.110000</td>\n      <td>-7.491000</td>\n      <td>1.000000</td>\n      <td>0.180000</td>\n      <td>85.486000</td>\n      <td>4.000000</td>\n      <td>0.379000</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>0.133000</td>\n      <td>0.744000</td>\n      <td>213358.000000</td>\n      <td>0.697000</td>\n      <td>0.000000</td>\n      <td>7.000000</td>\n      <td>0.330000</td>\n      <td>-6.164000</td>\n      <td>1.000000</td>\n      <td>0.252000</td>\n      <td>108.126000</td>\n      <td>4.000000</td>\n      <td>0.432000</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>0.155000</td>\n      <td>0.756000</td>\n      <td>237297.000000</td>\n      <td>0.867000</td>\n      <td>0.000333</td>\n      <td>9.000000</td>\n      <td>0.356000</td>\n      <td>-4.197000</td>\n      <td>1.000000</td>\n      <td>0.406000</td>\n      <td>129.983000</td>\n      <td>4.000000</td>\n      <td>0.666000</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>0.600000</td>\n      <td>0.836000</td>\n      <td>291808.000000</td>\n      <td>0.881000</td>\n      <td>0.002850</td>\n      <td>11.000000</td>\n      <td>0.959000</td>\n      <td>-3.626000</td>\n      <td>1.000000</td>\n      <td>0.863000</td>\n      <td>144.056000</td>\n      <td>5.000000</td>\n      <td>0.784000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+       "mean        3.981693  0.499444  \n",
+       "std         0.134211  0.188996  \n",
+       "min         3.000000  0.167000  \n",
+       "25%         4.000000  0.391000  \n",
+       "50%         4.000000  0.494000  \n",
+       "75%         4.000000  0.628000  \n",
+       "max         4.000000  0.879000  "
+      ]
      },
+     "execution_count": 5,
      "metadata": {},
-     "execution_count": 67
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "album_name = \"dicaprio 2\".lower()\n",
+    "album_name = \"piñata\".lower()\n",
     "album_frame = scrobbles[scrobbles[\"album\"].str.lower() == album_name]# FILTER SCROBBLES\n",
     "album_frame = album_frame.sort_index(ascending=False) # SORT\n",
     "# album_frame = album_frame.loc[:, descriptor_headers] # DESCRIPTORS\n",
@@ -95,19 +225,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": "<Figure size 720x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<!-- Created with matplotlib (https://matplotlib.org/) -->\n<svg height=\"288.512187pt\" version=\"1.1\" viewBox=\"0 0 368.925 288.512187\" width=\"368.925pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-02-04T10:17:31.539909</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.3.4, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M -0 288.512187 \nL 368.925 288.512187 \nL 368.925 0 \nL -0 0 \nz\n\" style=\"fill:none;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 239.758125 \nL 361.725 239.758125 \nL 361.725 22.318125 \nL 26.925 22.318125 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <path clip-path=\"url(#p4ddf303d7e)\" d=\"M 26.925 239.758125 \nL 26.925 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_2\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m58a5dc3869\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m58a5dc3869\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_3\">\n      <path clip-path=\"url(#p4ddf303d7e)\" d=\"M 42.425 239.758125 \nL 42.425 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"42.425\" xlink:href=\"#m58a5dc3869\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- Jan -->\n      <g transform=\"translate(34.717188 254.356562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 9.8125 72.90625 \nL 19.671875 72.90625 \nL 19.671875 5.078125 \nQ 19.671875 -8.109375 14.671875 -14.0625 \nQ 9.671875 -20.015625 -1.421875 -20.015625 \nL -5.171875 -20.015625 \nL -5.171875 -11.71875 \nL -2.09375 -11.71875 \nQ 4.4375 -11.71875 7.125 -8.046875 \nQ 9.8125 -4.390625 9.8125 5.078125 \nz\n\" id=\"DejaVuSans-74\"/>\n        <path d=\"M 34.28125 27.484375 \nQ 23.390625 27.484375 19.1875 25 \nQ 14.984375 22.515625 14.984375 16.5 \nQ 14.984375 11.71875 18.140625 8.90625 \nQ 21.296875 6.109375 26.703125 6.109375 \nQ 34.1875 6.109375 38.703125 11.40625 \nQ 43.21875 16.703125 43.21875 25.484375 \nL 43.21875 27.484375 \nz\nM 52.203125 31.203125 \nL 52.203125 0 \nL 43.21875 0 \nL 43.21875 8.296875 \nQ 40.140625 3.328125 35.546875 0.953125 \nQ 30.953125 -1.421875 24.3125 -1.421875 \nQ 15.921875 -1.421875 10.953125 3.296875 \nQ 6 8.015625 6 15.921875 \nQ 6 25.140625 12.171875 29.828125 \nQ 18.359375 34.515625 30.609375 34.515625 \nL 43.21875 34.515625 \nL 43.21875 35.40625 \nQ 43.21875 41.609375 39.140625 45 \nQ 35.0625 48.390625 27.6875 48.390625 \nQ 23 48.390625 18.546875 47.265625 \nQ 14.109375 46.140625 10.015625 43.890625 \nL 10.015625 52.203125 \nQ 14.9375 54.109375 19.578125 55.046875 \nQ 24.21875 56 28.609375 56 \nQ 40.484375 56 46.34375 49.84375 \nQ 52.203125 43.703125 52.203125 31.203125 \nz\n\" id=\"DejaVuSans-97\"/>\n        <path d=\"M 54.890625 33.015625 \nL 54.890625 0 \nL 45.90625 0 \nL 45.90625 32.71875 \nQ 45.90625 40.484375 42.875 44.328125 \nQ 39.84375 48.1875 33.796875 48.1875 \nQ 26.515625 48.1875 22.3125 43.546875 \nQ 18.109375 38.921875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 21.34375 51.125 25.703125 53.5625 \nQ 30.078125 56 35.796875 56 \nQ 45.21875 56 50.046875 50.171875 \nQ 54.890625 44.34375 54.890625 33.015625 \nz\n\" id=\"DejaVuSans-110\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-74\"/>\n       <use x=\"29.492188\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"90.771484\" xlink:href=\"#DejaVuSans-110\"/>\n      </g>\n      <!-- 2019 -->\n      <g transform=\"translate(29.7 265.554375)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 19.1875 8.296875 \nL 53.609375 8.296875 \nL 53.609375 0 \nL 7.328125 0 \nL 7.328125 8.296875 \nQ 12.9375 14.109375 22.625 23.890625 \nQ 32.328125 33.6875 34.8125 36.53125 \nQ 39.546875 41.84375 41.421875 45.53125 \nQ 43.3125 49.21875 43.3125 52.78125 \nQ 43.3125 58.59375 39.234375 62.25 \nQ 35.15625 65.921875 28.609375 65.921875 \nQ 23.96875 65.921875 18.8125 64.3125 \nQ 13.671875 62.703125 7.8125 59.421875 \nL 7.8125 69.390625 \nQ 13.765625 71.78125 18.9375 73 \nQ 24.125 74.21875 28.421875 74.21875 \nQ 39.75 74.21875 46.484375 68.546875 \nQ 53.21875 62.890625 53.21875 53.421875 \nQ 53.21875 48.921875 51.53125 44.890625 \nQ 49.859375 40.875 45.40625 35.40625 \nQ 44.1875 33.984375 37.640625 27.21875 \nQ 31.109375 20.453125 19.1875 8.296875 \nz\n\" id=\"DejaVuSans-50\"/>\n        <path d=\"M 31.78125 66.40625 \nQ 24.171875 66.40625 20.328125 58.90625 \nQ 16.5 51.421875 16.5 36.375 \nQ 16.5 21.390625 20.328125 13.890625 \nQ 24.171875 6.390625 31.78125 6.390625 \nQ 39.453125 6.390625 43.28125 13.890625 \nQ 47.125 21.390625 47.125 36.375 \nQ 47.125 51.421875 43.28125 58.90625 \nQ 39.453125 66.40625 31.78125 66.40625 \nz\nM 31.78125 74.21875 \nQ 44.046875 74.21875 50.515625 64.515625 \nQ 56.984375 54.828125 56.984375 36.375 \nQ 56.984375 17.96875 50.515625 8.265625 \nQ 44.046875 -1.421875 31.78125 -1.421875 \nQ 19.53125 -1.421875 13.0625 8.265625 \nQ 6.59375 17.96875 6.59375 36.375 \nQ 6.59375 54.828125 13.0625 64.515625 \nQ 19.53125 74.21875 31.78125 74.21875 \nz\n\" id=\"DejaVuSans-48\"/>\n        <path d=\"M 12.40625 8.296875 \nL 28.515625 8.296875 \nL 28.515625 63.921875 \nL 10.984375 60.40625 \nL 10.984375 69.390625 \nL 28.421875 72.90625 \nL 38.28125 72.90625 \nL 38.28125 8.296875 \nL 54.390625 8.296875 \nL 54.390625 0 \nL 12.40625 0 \nz\n\" id=\"DejaVuSans-49\"/>\n        <path d=\"M 10.984375 1.515625 \nL 10.984375 10.5 \nQ 14.703125 8.734375 18.5 7.8125 \nQ 22.3125 6.890625 25.984375 6.890625 \nQ 35.75 6.890625 40.890625 13.453125 \nQ 46.046875 20.015625 46.78125 33.40625 \nQ 43.953125 29.203125 39.59375 26.953125 \nQ 35.25 24.703125 29.984375 24.703125 \nQ 19.046875 24.703125 12.671875 31.3125 \nQ 6.296875 37.9375 6.296875 49.421875 \nQ 6.296875 60.640625 12.9375 67.421875 \nQ 19.578125 74.21875 30.609375 74.21875 \nQ 43.265625 74.21875 49.921875 64.515625 \nQ 56.59375 54.828125 56.59375 36.375 \nQ 56.59375 19.140625 48.40625 8.859375 \nQ 40.234375 -1.421875 26.421875 -1.421875 \nQ 22.703125 -1.421875 18.890625 -0.6875 \nQ 15.09375 0.046875 10.984375 1.515625 \nz\nM 30.609375 32.421875 \nQ 37.25 32.421875 41.125 36.953125 \nQ 45.015625 41.5 45.015625 49.421875 \nQ 45.015625 57.28125 41.125 61.84375 \nQ 37.25 66.40625 30.609375 66.40625 \nQ 23.96875 66.40625 20.09375 61.84375 \nQ 16.21875 57.28125 16.21875 49.421875 \nQ 16.21875 41.5 20.09375 36.953125 \nQ 23.96875 32.421875 30.609375 32.421875 \nz\n\" id=\"DejaVuSans-57\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-50\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-57\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_5\">\n      <path clip-path=\"url(#p4ddf303d7e)\" d=\"M 82.725 239.758125 \nL 82.725 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"82.725\" xlink:href=\"#m58a5dc3869\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- Apr -->\n      <g transform=\"translate(74.075 254.356562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 34.1875 63.1875 \nL 20.796875 26.90625 \nL 47.609375 26.90625 \nz\nM 28.609375 72.90625 \nL 39.796875 72.90625 \nL 67.578125 0 \nL 57.328125 0 \nL 50.6875 18.703125 \nL 17.828125 18.703125 \nL 11.1875 0 \nL 0.78125 0 \nz\n\" id=\"DejaVuSans-65\"/>\n        <path d=\"M 18.109375 8.203125 \nL 18.109375 -20.796875 \nL 9.078125 -20.796875 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.390625 \nQ 20.953125 51.265625 25.265625 53.625 \nQ 29.59375 56 35.59375 56 \nQ 45.5625 56 51.78125 48.09375 \nQ 58.015625 40.1875 58.015625 27.296875 \nQ 58.015625 14.40625 51.78125 6.484375 \nQ 45.5625 -1.421875 35.59375 -1.421875 \nQ 29.59375 -1.421875 25.265625 0.953125 \nQ 20.953125 3.328125 18.109375 8.203125 \nz\nM 48.6875 27.296875 \nQ 48.6875 37.203125 44.609375 42.84375 \nQ 40.53125 48.484375 33.40625 48.484375 \nQ 26.265625 48.484375 22.1875 42.84375 \nQ 18.109375 37.203125 18.109375 27.296875 \nQ 18.109375 17.390625 22.1875 11.75 \nQ 26.265625 6.109375 33.40625 6.109375 \nQ 40.53125 6.109375 44.609375 11.75 \nQ 48.6875 17.390625 48.6875 27.296875 \nz\n\" id=\"DejaVuSans-112\"/>\n        <path d=\"M 41.109375 46.296875 \nQ 39.59375 47.171875 37.8125 47.578125 \nQ 36.03125 48 33.890625 48 \nQ 26.265625 48 22.1875 43.046875 \nQ 18.109375 38.09375 18.109375 28.8125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 20.953125 51.171875 25.484375 53.578125 \nQ 30.03125 56 36.53125 56 \nQ 37.453125 56 38.578125 55.875 \nQ 39.703125 55.765625 41.0625 55.515625 \nz\n\" id=\"DejaVuSans-114\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"68.408203\" xlink:href=\"#DejaVuSans-112\"/>\n       <use x=\"131.884766\" xlink:href=\"#DejaVuSans-114\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_7\">\n      <path clip-path=\"url(#p4ddf303d7e)\" d=\"M 123.025 239.758125 \nL 123.025 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"123.025\" xlink:href=\"#m58a5dc3869\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- Jul -->\n      <g transform=\"translate(116.992188 254.356562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 8.5 21.578125 \nL 8.5 54.6875 \nL 17.484375 54.6875 \nL 17.484375 21.921875 \nQ 17.484375 14.15625 20.5 10.265625 \nQ 23.53125 6.390625 29.59375 6.390625 \nQ 36.859375 6.390625 41.078125 11.03125 \nQ 45.3125 15.671875 45.3125 23.6875 \nL 45.3125 54.6875 \nL 54.296875 54.6875 \nL 54.296875 0 \nL 45.3125 0 \nL 45.3125 8.40625 \nQ 42.046875 3.421875 37.71875 1 \nQ 33.40625 -1.421875 27.6875 -1.421875 \nQ 18.265625 -1.421875 13.375 4.4375 \nQ 8.5 10.296875 8.5 21.578125 \nz\nM 31.109375 56 \nz\n\" id=\"DejaVuSans-117\"/>\n        <path d=\"M 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 0 \nL 9.421875 0 \nz\n\" id=\"DejaVuSans-108\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-74\"/>\n       <use x=\"29.492188\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"92.871094\" xlink:href=\"#DejaVuSans-108\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_9\">\n      <path clip-path=\"url(#p4ddf303d7e)\" d=\"M 163.325 239.758125 \nL 163.325 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"163.325\" xlink:href=\"#m58a5dc3869\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- Oct -->\n      <g transform=\"translate(154.679687 254.356562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 39.40625 66.21875 \nQ 28.65625 66.21875 22.328125 58.203125 \nQ 16.015625 50.203125 16.015625 36.375 \nQ 16.015625 22.609375 22.328125 14.59375 \nQ 28.65625 6.59375 39.40625 6.59375 \nQ 50.140625 6.59375 56.421875 14.59375 \nQ 62.703125 22.609375 62.703125 36.375 \nQ 62.703125 50.203125 56.421875 58.203125 \nQ 50.140625 66.21875 39.40625 66.21875 \nz\nM 39.40625 74.21875 \nQ 54.734375 74.21875 63.90625 63.9375 \nQ 73.09375 53.65625 73.09375 36.375 \nQ 73.09375 19.140625 63.90625 8.859375 \nQ 54.734375 -1.421875 39.40625 -1.421875 \nQ 24.03125 -1.421875 14.8125 8.828125 \nQ 5.609375 19.09375 5.609375 36.375 \nQ 5.609375 53.65625 14.8125 63.9375 \nQ 24.03125 74.21875 39.40625 74.21875 \nz\n\" id=\"DejaVuSans-79\"/>\n        <path d=\"M 48.78125 52.59375 \nL 48.78125 44.1875 \nQ 44.96875 46.296875 41.140625 47.34375 \nQ 37.3125 48.390625 33.40625 48.390625 \nQ 24.65625 48.390625 19.8125 42.84375 \nQ 14.984375 37.3125 14.984375 27.296875 \nQ 14.984375 17.28125 19.8125 11.734375 \nQ 24.65625 6.203125 33.40625 6.203125 \nQ 37.3125 6.203125 41.140625 7.25 \nQ 44.96875 8.296875 48.78125 10.40625 \nL 48.78125 2.09375 \nQ 45.015625 0.34375 40.984375 -0.53125 \nQ 36.96875 -1.421875 32.421875 -1.421875 \nQ 20.0625 -1.421875 12.78125 6.34375 \nQ 5.515625 14.109375 5.515625 27.296875 \nQ 5.515625 40.671875 12.859375 48.328125 \nQ 20.21875 56 33.015625 56 \nQ 37.15625 56 41.109375 55.140625 \nQ 45.0625 54.296875 48.78125 52.59375 \nz\n\" id=\"DejaVuSans-99\"/>\n        <path d=\"M 18.3125 70.21875 \nL 18.3125 54.6875 \nL 36.8125 54.6875 \nL 36.8125 47.703125 \nL 18.3125 47.703125 \nL 18.3125 18.015625 \nQ 18.3125 11.328125 20.140625 9.421875 \nQ 21.96875 7.515625 27.59375 7.515625 \nL 36.8125 7.515625 \nL 36.8125 0 \nL 27.59375 0 \nQ 17.1875 0 13.234375 3.875 \nQ 9.28125 7.765625 9.28125 18.015625 \nL 9.28125 47.703125 \nL 2.6875 47.703125 \nL 2.6875 54.6875 \nL 9.28125 54.6875 \nL 9.28125 70.21875 \nz\n\" id=\"DejaVuSans-116\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-79\"/>\n       <use x=\"78.710938\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"133.691406\" xlink:href=\"#DejaVuSans-116\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_11\">\n      <path clip-path=\"url(#p4ddf303d7e)\" d=\"M 203.625 239.758125 \nL 203.625 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"203.625\" xlink:href=\"#m58a5dc3869\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- Jan -->\n      <g transform=\"translate(195.917188 254.356562)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-74\"/>\n       <use x=\"29.492188\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"90.771484\" xlink:href=\"#DejaVuSans-110\"/>\n      </g>\n      <!-- 2020 -->\n      <g transform=\"translate(190.9 265.554375)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-50\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-50\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_13\">\n      <path clip-path=\"url(#p4ddf303d7e)\" d=\"M 243.925 239.758125 \nL 243.925 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"243.925\" xlink:href=\"#m58a5dc3869\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- Apr -->\n      <g transform=\"translate(235.275 254.356562)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"68.408203\" xlink:href=\"#DejaVuSans-112\"/>\n       <use x=\"131.884766\" xlink:href=\"#DejaVuSans-114\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_15\">\n      <path clip-path=\"url(#p4ddf303d7e)\" d=\"M 284.225 239.758125 \nL 284.225 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_16\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"284.225\" xlink:href=\"#m58a5dc3869\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- Jul -->\n      <g transform=\"translate(278.192188 254.356562)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-74\"/>\n       <use x=\"29.492188\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"92.871094\" xlink:href=\"#DejaVuSans-108\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_17\">\n      <path clip-path=\"url(#p4ddf303d7e)\" d=\"M 324.525 239.758125 \nL 324.525 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_18\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"324.525\" xlink:href=\"#m58a5dc3869\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- Oct -->\n      <g transform=\"translate(315.879687 254.356562)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-79\"/>\n       <use x=\"78.710938\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"133.691406\" xlink:href=\"#DejaVuSans-116\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_10\">\n     <g id=\"line2d_19\">\n      <path clip-path=\"url(#p4ddf303d7e)\" d=\"M 361.725 239.758125 \nL 361.725 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_20\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"361.725\" xlink:href=\"#m58a5dc3869\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_11\">\n     <g id=\"line2d_21\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 2 \n\" id=\"mc108b7e2bc\" style=\"stroke:#000000;stroke-width:0.6;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"54.825\" xlink:href=\"#mc108b7e2bc\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_12\">\n     <g id=\"line2d_22\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"67.225\" xlink:href=\"#mc108b7e2bc\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_13\">\n     <g id=\"line2d_23\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"95.125\" xlink:href=\"#mc108b7e2bc\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_14\">\n     <g id=\"line2d_24\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"107.525\" xlink:href=\"#mc108b7e2bc\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_15\">\n     <g id=\"line2d_25\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"135.425\" xlink:href=\"#mc108b7e2bc\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_16\">\n     <g id=\"line2d_26\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"147.825\" xlink:href=\"#mc108b7e2bc\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_17\">\n     <g id=\"line2d_27\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"175.725\" xlink:href=\"#mc108b7e2bc\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_18\">\n     <g id=\"line2d_28\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"188.125\" xlink:href=\"#mc108b7e2bc\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_19\">\n     <g id=\"line2d_29\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"216.025\" xlink:href=\"#mc108b7e2bc\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_20\">\n     <g id=\"line2d_30\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"228.425\" xlink:href=\"#mc108b7e2bc\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_21\">\n     <g id=\"line2d_31\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"256.325\" xlink:href=\"#mc108b7e2bc\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_22\">\n     <g id=\"line2d_32\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"271.825\" xlink:href=\"#mc108b7e2bc\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_23\">\n     <g id=\"line2d_33\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"296.625\" xlink:href=\"#mc108b7e2bc\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_24\">\n     <g id=\"line2d_34\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"312.125\" xlink:href=\"#mc108b7e2bc\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_25\">\n     <g id=\"line2d_35\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"336.925\" xlink:href=\"#mc108b7e2bc\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_26\">\n     <g id=\"line2d_36\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"352.425\" xlink:href=\"#mc108b7e2bc\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_9\">\n     <!-- time -->\n     <g transform=\"translate(183.028906 279.2325)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 9.421875 54.6875 \nL 18.40625 54.6875 \nL 18.40625 0 \nL 9.421875 0 \nz\nM 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 64.59375 \nL 9.421875 64.59375 \nz\n\" id=\"DejaVuSans-105\"/>\n       <path d=\"M 52 44.1875 \nQ 55.375 50.25 60.0625 53.125 \nQ 64.75 56 71.09375 56 \nQ 79.640625 56 84.28125 50.015625 \nQ 88.921875 44.046875 88.921875 33.015625 \nL 88.921875 0 \nL 79.890625 0 \nL 79.890625 32.71875 \nQ 79.890625 40.578125 77.09375 44.375 \nQ 74.3125 48.1875 68.609375 48.1875 \nQ 61.625 48.1875 57.5625 43.546875 \nQ 53.515625 38.921875 53.515625 30.90625 \nL 53.515625 0 \nL 44.484375 0 \nL 44.484375 32.71875 \nQ 44.484375 40.625 41.703125 44.40625 \nQ 38.921875 48.1875 33.109375 48.1875 \nQ 26.21875 48.1875 22.15625 43.53125 \nQ 18.109375 38.875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 21.1875 51.21875 25.484375 53.609375 \nQ 29.78125 56 35.6875 56 \nQ 41.65625 56 45.828125 52.96875 \nQ 50 49.953125 52 44.1875 \nz\n\" id=\"DejaVuSans-109\"/>\n       <path d=\"M 56.203125 29.59375 \nL 56.203125 25.203125 \nL 14.890625 25.203125 \nQ 15.484375 15.921875 20.484375 11.0625 \nQ 25.484375 6.203125 34.421875 6.203125 \nQ 39.59375 6.203125 44.453125 7.46875 \nQ 49.3125 8.734375 54.109375 11.28125 \nL 54.109375 2.78125 \nQ 49.265625 0.734375 44.1875 -0.34375 \nQ 39.109375 -1.421875 33.890625 -1.421875 \nQ 20.796875 -1.421875 13.15625 6.1875 \nQ 5.515625 13.8125 5.515625 26.8125 \nQ 5.515625 40.234375 12.765625 48.109375 \nQ 20.015625 56 32.328125 56 \nQ 43.359375 56 49.78125 48.890625 \nQ 56.203125 41.796875 56.203125 29.59375 \nz\nM 47.21875 32.234375 \nQ 47.125 39.59375 43.09375 43.984375 \nQ 39.0625 48.390625 32.421875 48.390625 \nQ 24.90625 48.390625 20.390625 44.140625 \nQ 15.875 39.890625 15.1875 32.171875 \nz\n\" id=\"DejaVuSans-101\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-116\"/>\n      <use x=\"39.208984\" xlink:href=\"#DejaVuSans-105\"/>\n      <use x=\"66.992188\" xlink:href=\"#DejaVuSans-109\"/>\n      <use x=\"164.404297\" xlink:href=\"#DejaVuSans-101\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_37\">\n      <path clip-path=\"url(#p4ddf303d7e)\" d=\"M 26.925 229.874489 \nL 361.725 229.874489 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_38\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m10f57ee483\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m10f57ee483\" y=\"229.874489\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 233.673707)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_39\">\n      <path clip-path=\"url(#p4ddf303d7e)\" d=\"M 26.925 186.902157 \nL 361.725 186.902157 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_40\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m10f57ee483\" y=\"186.902157\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 5 -->\n      <g transform=\"translate(13.5625 190.701375)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 10.796875 72.90625 \nL 49.515625 72.90625 \nL 49.515625 64.59375 \nL 19.828125 64.59375 \nL 19.828125 46.734375 \nQ 21.96875 47.46875 24.109375 47.828125 \nQ 26.265625 48.1875 28.421875 48.1875 \nQ 40.625 48.1875 47.75 41.5 \nQ 54.890625 34.8125 54.890625 23.390625 \nQ 54.890625 11.625 47.5625 5.09375 \nQ 40.234375 -1.421875 26.90625 -1.421875 \nQ 22.3125 -1.421875 17.546875 -0.640625 \nQ 12.796875 0.140625 7.71875 1.703125 \nL 7.71875 11.625 \nQ 12.109375 9.234375 16.796875 8.0625 \nQ 21.484375 6.890625 26.703125 6.890625 \nQ 35.15625 6.890625 40.078125 11.328125 \nQ 45.015625 15.765625 45.015625 23.390625 \nQ 45.015625 31 40.078125 35.4375 \nQ 35.15625 39.890625 26.703125 39.890625 \nQ 22.75 39.890625 18.8125 39.015625 \nQ 14.890625 38.140625 10.796875 36.28125 \nz\n\" id=\"DejaVuSans-53\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-53\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_41\">\n      <path clip-path=\"url(#p4ddf303d7e)\" d=\"M 26.925 143.929825 \nL 361.725 143.929825 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_42\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m10f57ee483\" y=\"143.929825\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 147.729043)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_43\">\n      <path clip-path=\"url(#p4ddf303d7e)\" d=\"M 26.925 100.957493 \nL 361.725 100.957493 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_44\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m10f57ee483\" y=\"100.957493\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 15 -->\n      <g transform=\"translate(7.2 104.756711)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-53\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_45\">\n      <path clip-path=\"url(#p4ddf303d7e)\" d=\"M 26.925 57.985161 \nL 361.725 57.985161 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_46\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m10f57ee483\" y=\"57.985161\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 61.784379)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-50\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_47\">\n    <path clip-path=\"url(#p4ddf303d7e)\" d=\"M 26.925 221.280022 \nL 36.225 229.874489 \nL 45.525 32.201761 \nL 54.825 100.957493 \nL 64.125 40.796228 \nL 73.425 92.363026 \nL 82.725 152.524291 \nL 92.025 169.713224 \nL 101.325 32.201761 \nL 110.625 204.091089 \nL 119.925 83.76856 \nL 129.225 118.146425 \nL 138.525 212.685556 \nL 147.825 221.280022 \nL 157.125 186.902157 \nL 166.425 152.524291 \nL 175.725 178.30769 \nL 185.025 83.76856 \nL 194.325 204.091089 \nL 203.625 204.091089 \nL 212.925 221.280022 \nL 222.225 229.874489 \nL 231.525 221.280022 \nL 240.825 212.685556 \nL 250.125 100.957493 \nL 259.425 204.091089 \nL 268.725 229.874489 \nL 278.025 221.280022 \nL 287.325 212.685556 \nL 296.625 212.685556 \nL 305.925 204.091089 \nL 315.225 229.874489 \nL 324.525 229.874489 \nL 333.825 229.874489 \nL 343.125 229.874489 \nL 352.425 229.874489 \nL 361.725 221.280022 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 239.758125 \nL 26.925 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 361.725 239.758125 \nL 361.725 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 239.758125 \nL 361.725 239.758125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 22.318125 \nL 361.725 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"text_15\">\n    <!-- dicaprio 2 Scrobbles -->\n    <g transform=\"translate(133.414688 16.318125)scale(0.12 -0.12)\">\n     <defs>\n      <path d=\"M 45.40625 46.390625 \nL 45.40625 75.984375 \nL 54.390625 75.984375 \nL 54.390625 0 \nL 45.40625 0 \nL 45.40625 8.203125 \nQ 42.578125 3.328125 38.25 0.953125 \nQ 33.9375 -1.421875 27.875 -1.421875 \nQ 17.96875 -1.421875 11.734375 6.484375 \nQ 5.515625 14.40625 5.515625 27.296875 \nQ 5.515625 40.1875 11.734375 48.09375 \nQ 17.96875 56 27.875 56 \nQ 33.9375 56 38.25 53.625 \nQ 42.578125 51.265625 45.40625 46.390625 \nz\nM 14.796875 27.296875 \nQ 14.796875 17.390625 18.875 11.75 \nQ 22.953125 6.109375 30.078125 6.109375 \nQ 37.203125 6.109375 41.296875 11.75 \nQ 45.40625 17.390625 45.40625 27.296875 \nQ 45.40625 37.203125 41.296875 42.84375 \nQ 37.203125 48.484375 30.078125 48.484375 \nQ 22.953125 48.484375 18.875 42.84375 \nQ 14.796875 37.203125 14.796875 27.296875 \nz\n\" id=\"DejaVuSans-100\"/>\n      <path d=\"M 30.609375 48.390625 \nQ 23.390625 48.390625 19.1875 42.75 \nQ 14.984375 37.109375 14.984375 27.296875 \nQ 14.984375 17.484375 19.15625 11.84375 \nQ 23.34375 6.203125 30.609375 6.203125 \nQ 37.796875 6.203125 41.984375 11.859375 \nQ 46.1875 17.53125 46.1875 27.296875 \nQ 46.1875 37.015625 41.984375 42.703125 \nQ 37.796875 48.390625 30.609375 48.390625 \nz\nM 30.609375 56 \nQ 42.328125 56 49.015625 48.375 \nQ 55.71875 40.765625 55.71875 27.296875 \nQ 55.71875 13.875 49.015625 6.21875 \nQ 42.328125 -1.421875 30.609375 -1.421875 \nQ 18.84375 -1.421875 12.171875 6.21875 \nQ 5.515625 13.875 5.515625 27.296875 \nQ 5.515625 40.765625 12.171875 48.375 \nQ 18.84375 56 30.609375 56 \nz\n\" id=\"DejaVuSans-111\"/>\n      <path id=\"DejaVuSans-32\"/>\n      <path d=\"M 53.515625 70.515625 \nL 53.515625 60.890625 \nQ 47.90625 63.578125 42.921875 64.890625 \nQ 37.9375 66.21875 33.296875 66.21875 \nQ 25.25 66.21875 20.875 63.09375 \nQ 16.5 59.96875 16.5 54.203125 \nQ 16.5 49.359375 19.40625 46.890625 \nQ 22.3125 44.4375 30.421875 42.921875 \nL 36.375 41.703125 \nQ 47.40625 39.59375 52.65625 34.296875 \nQ 57.90625 29 57.90625 20.125 \nQ 57.90625 9.515625 50.796875 4.046875 \nQ 43.703125 -1.421875 29.984375 -1.421875 \nQ 24.8125 -1.421875 18.96875 -0.25 \nQ 13.140625 0.921875 6.890625 3.21875 \nL 6.890625 13.375 \nQ 12.890625 10.015625 18.65625 8.296875 \nQ 24.421875 6.59375 29.984375 6.59375 \nQ 38.421875 6.59375 43.015625 9.90625 \nQ 47.609375 13.234375 47.609375 19.390625 \nQ 47.609375 24.75 44.3125 27.78125 \nQ 41.015625 30.8125 33.5 32.328125 \nL 27.484375 33.5 \nQ 16.453125 35.6875 11.515625 40.375 \nQ 6.59375 45.0625 6.59375 53.421875 \nQ 6.59375 63.09375 13.40625 68.65625 \nQ 20.21875 74.21875 32.171875 74.21875 \nQ 37.3125 74.21875 42.625 73.28125 \nQ 47.953125 72.359375 53.515625 70.515625 \nz\n\" id=\"DejaVuSans-83\"/>\n      <path d=\"M 48.6875 27.296875 \nQ 48.6875 37.203125 44.609375 42.84375 \nQ 40.53125 48.484375 33.40625 48.484375 \nQ 26.265625 48.484375 22.1875 42.84375 \nQ 18.109375 37.203125 18.109375 27.296875 \nQ 18.109375 17.390625 22.1875 11.75 \nQ 26.265625 6.109375 33.40625 6.109375 \nQ 40.53125 6.109375 44.609375 11.75 \nQ 48.6875 17.390625 48.6875 27.296875 \nz\nM 18.109375 46.390625 \nQ 20.953125 51.265625 25.265625 53.625 \nQ 29.59375 56 35.59375 56 \nQ 45.5625 56 51.78125 48.09375 \nQ 58.015625 40.1875 58.015625 27.296875 \nQ 58.015625 14.40625 51.78125 6.484375 \nQ 45.5625 -1.421875 35.59375 -1.421875 \nQ 29.59375 -1.421875 25.265625 0.953125 \nQ 20.953125 3.328125 18.109375 8.203125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 75.984375 \nL 18.109375 75.984375 \nz\n\" id=\"DejaVuSans-98\"/>\n      <path d=\"M 44.28125 53.078125 \nL 44.28125 44.578125 \nQ 40.484375 46.53125 36.375 47.5 \nQ 32.28125 48.484375 27.875 48.484375 \nQ 21.1875 48.484375 17.84375 46.4375 \nQ 14.5 44.390625 14.5 40.28125 \nQ 14.5 37.15625 16.890625 35.375 \nQ 19.28125 33.59375 26.515625 31.984375 \nL 29.59375 31.296875 \nQ 39.15625 29.25 43.1875 25.515625 \nQ 47.21875 21.78125 47.21875 15.09375 \nQ 47.21875 7.46875 41.1875 3.015625 \nQ 35.15625 -1.421875 24.609375 -1.421875 \nQ 20.21875 -1.421875 15.453125 -0.5625 \nQ 10.6875 0.296875 5.421875 2 \nL 5.421875 11.28125 \nQ 10.40625 8.6875 15.234375 7.390625 \nQ 20.0625 6.109375 24.8125 6.109375 \nQ 31.15625 6.109375 34.5625 8.28125 \nQ 37.984375 10.453125 37.984375 14.40625 \nQ 37.984375 18.0625 35.515625 20.015625 \nQ 33.0625 21.96875 24.703125 23.78125 \nL 21.578125 24.515625 \nQ 13.234375 26.265625 9.515625 29.90625 \nQ 5.8125 33.546875 5.8125 39.890625 \nQ 5.8125 47.609375 11.28125 51.796875 \nQ 16.75 56 26.8125 56 \nQ 31.78125 56 36.171875 55.265625 \nQ 40.578125 54.546875 44.28125 53.078125 \nz\n\" id=\"DejaVuSans-115\"/>\n     </defs>\n     <use xlink:href=\"#DejaVuSans-100\"/>\n     <use x=\"63.476562\" xlink:href=\"#DejaVuSans-105\"/>\n     <use x=\"91.259766\" xlink:href=\"#DejaVuSans-99\"/>\n     <use x=\"146.240234\" xlink:href=\"#DejaVuSans-97\"/>\n     <use x=\"207.519531\" xlink:href=\"#DejaVuSans-112\"/>\n     <use x=\"270.996094\" xlink:href=\"#DejaVuSans-114\"/>\n     <use x=\"312.109375\" xlink:href=\"#DejaVuSans-105\"/>\n     <use x=\"339.892578\" xlink:href=\"#DejaVuSans-111\"/>\n     <use x=\"401.074219\" xlink:href=\"#DejaVuSans-32\"/>\n     <use x=\"432.861328\" xlink:href=\"#DejaVuSans-50\"/>\n     <use x=\"496.484375\" xlink:href=\"#DejaVuSans-32\"/>\n     <use x=\"528.271484\" xlink:href=\"#DejaVuSans-83\"/>\n     <use x=\"591.748047\" xlink:href=\"#DejaVuSans-99\"/>\n     <use x=\"646.728516\" xlink:href=\"#DejaVuSans-114\"/>\n     <use x=\"685.591797\" xlink:href=\"#DejaVuSans-111\"/>\n     <use x=\"746.773438\" xlink:href=\"#DejaVuSans-98\"/>\n     <use x=\"810.25\" xlink:href=\"#DejaVuSans-98\"/>\n     <use x=\"873.726562\" xlink:href=\"#DejaVuSans-108\"/>\n     <use x=\"901.509766\" xlink:href=\"#DejaVuSans-101\"/>\n     <use x=\"963.033203\" xlink:href=\"#DejaVuSans-115\"/>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p4ddf303d7e\">\n   <rect height=\"217.44\" width=\"334.8\" x=\"26.925\" y=\"22.318125\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 720x480 with 1 Axes>"
+      ]
      },
      "metadata": {
       "needs_background": "light"
-     }
+     },
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -123,31 +254,32 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "## Average Descriptor\n",
     "\n",
     "Below presents the average descriptor for the album. \"*All Listened Tracks*\" describes the descriptor based on the listening activity for this album. This takes into account how many times a track is listened to. \"*Distinct Tracks*\" takes only the distinct set of tracks that have been listened to and takes that average.\n",
     "\n",
     "The difference between them could be described as which features are preferred for an album. If the blue bar is higher than the red, it would indicate that tracks from this album which have a higher value for this are listened to more. "
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": "<Figure size 720x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<!-- Created with matplotlib (https://matplotlib.org/) -->\n<svg height=\"263.63625pt\" version=\"1.1\" viewBox=\"0 0 372.103125 263.63625\" width=\"372.103125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-02-04T10:17:32.392896</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.3.4, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 263.63625 \nL 372.103125 263.63625 \nL 372.103125 0 \nL 0 0 \nz\n\" style=\"fill:none;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 239.758125 \nL 364.903125 239.758125 \nL 364.903125 22.318125 \nL 30.103125 22.318125 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path clip-path=\"url(#p963f63a0ba)\" d=\"M 45.321307 239.758125 \nL 61.2209 239.758125 \nL 61.2209 198.451204 \nL 45.321307 198.451204 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path clip-path=\"url(#p963f63a0ba)\" d=\"M 90.748715 239.758125 \nL 106.648308 239.758125 \nL 106.648308 87.456936 \nL 90.748715 87.456936 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path clip-path=\"url(#p963f63a0ba)\" d=\"M 136.176124 239.758125 \nL 152.075717 239.758125 \nL 152.075717 95.781782 \nL 136.176124 95.781782 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path clip-path=\"url(#p963f63a0ba)\" d=\"M 181.603532 239.758125 \nL 197.503125 239.758125 \nL 197.503125 239.705431 \nL 181.603532 239.705431 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_7\">\n    <path clip-path=\"url(#p963f63a0ba)\" d=\"M 227.03094 239.758125 \nL 242.930533 239.758125 \nL 242.930533 173.181103 \nL 227.03094 173.181103 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_8\">\n    <path clip-path=\"url(#p963f63a0ba)\" d=\"M 272.458349 239.758125 \nL 288.357942 239.758125 \nL 288.357942 166.216811 \nL 272.458349 166.216811 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_9\">\n    <path clip-path=\"url(#p963f63a0ba)\" d=\"M 317.885757 239.758125 \nL 333.78535 239.758125 \nL 333.78535 144.500767 \nL 317.885757 144.500767 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_10\">\n    <path clip-path=\"url(#p963f63a0ba)\" d=\"M 61.2209 239.758125 \nL 77.120493 239.758125 \nL 77.120493 207.491992 \nL 61.2209 207.491992 \nz\n\" style=\"fill:#ff0000;\"/>\n   </g>\n   <g id=\"patch_11\">\n    <path clip-path=\"url(#p963f63a0ba)\" d=\"M 106.648308 239.758125 \nL 122.547901 239.758125 \nL 122.547901 82.65099 \nL 106.648308 82.65099 \nz\n\" style=\"fill:#ff0000;\"/>\n   </g>\n   <g id=\"patch_12\">\n    <path clip-path=\"url(#p963f63a0ba)\" d=\"M 152.075717 239.758125 \nL 167.97531 239.758125 \nL 167.97531 86.466773 \nL 152.075717 86.466773 \nz\n\" style=\"fill:#ff0000;\"/>\n   </g>\n   <g id=\"patch_13\">\n    <path clip-path=\"url(#p963f63a0ba)\" d=\"M 197.503125 239.758125 \nL 213.402718 239.758125 \nL 213.402718 239.607023 \nL 197.503125 239.607023 \nz\n\" style=\"fill:#ff0000;\"/>\n   </g>\n   <g id=\"patch_14\">\n    <path clip-path=\"url(#p963f63a0ba)\" d=\"M 242.930533 239.758125 \nL 258.830126 239.758125 \nL 258.830126 176.80251 \nL 242.930533 176.80251 \nz\n\" style=\"fill:#ff0000;\"/>\n   </g>\n   <g id=\"patch_15\">\n    <path clip-path=\"url(#p963f63a0ba)\" d=\"M 288.357942 239.758125 \nL 304.257535 239.758125 \nL 304.257535 171.332836 \nL 288.357942 171.332836 \nz\n\" style=\"fill:#ff0000;\"/>\n   </g>\n   <g id=\"patch_16\">\n    <path clip-path=\"url(#p963f63a0ba)\" d=\"M 333.78535 239.758125 \nL 349.684943 239.758125 \nL 349.684943 133.681849 \nL 333.78535 133.681849 \nz\n\" style=\"fill:#ff0000;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m2f806ab5f1\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.2209\" xlink:href=\"#m2f806ab5f1\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- acoust -->\n      <g transform=\"translate(44.61465 254.356563)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 34.28125 27.484375 \nQ 23.390625 27.484375 19.1875 25 \nQ 14.984375 22.515625 14.984375 16.5 \nQ 14.984375 11.71875 18.140625 8.90625 \nQ 21.296875 6.109375 26.703125 6.109375 \nQ 34.1875 6.109375 38.703125 11.40625 \nQ 43.21875 16.703125 43.21875 25.484375 \nL 43.21875 27.484375 \nz\nM 52.203125 31.203125 \nL 52.203125 0 \nL 43.21875 0 \nL 43.21875 8.296875 \nQ 40.140625 3.328125 35.546875 0.953125 \nQ 30.953125 -1.421875 24.3125 -1.421875 \nQ 15.921875 -1.421875 10.953125 3.296875 \nQ 6 8.015625 6 15.921875 \nQ 6 25.140625 12.171875 29.828125 \nQ 18.359375 34.515625 30.609375 34.515625 \nL 43.21875 34.515625 \nL 43.21875 35.40625 \nQ 43.21875 41.609375 39.140625 45 \nQ 35.0625 48.390625 27.6875 48.390625 \nQ 23 48.390625 18.546875 47.265625 \nQ 14.109375 46.140625 10.015625 43.890625 \nL 10.015625 52.203125 \nQ 14.9375 54.109375 19.578125 55.046875 \nQ 24.21875 56 28.609375 56 \nQ 40.484375 56 46.34375 49.84375 \nQ 52.203125 43.703125 52.203125 31.203125 \nz\n\" id=\"DejaVuSans-97\"/>\n        <path d=\"M 48.78125 52.59375 \nL 48.78125 44.1875 \nQ 44.96875 46.296875 41.140625 47.34375 \nQ 37.3125 48.390625 33.40625 48.390625 \nQ 24.65625 48.390625 19.8125 42.84375 \nQ 14.984375 37.3125 14.984375 27.296875 \nQ 14.984375 17.28125 19.8125 11.734375 \nQ 24.65625 6.203125 33.40625 6.203125 \nQ 37.3125 6.203125 41.140625 7.25 \nQ 44.96875 8.296875 48.78125 10.40625 \nL 48.78125 2.09375 \nQ 45.015625 0.34375 40.984375 -0.53125 \nQ 36.96875 -1.421875 32.421875 -1.421875 \nQ 20.0625 -1.421875 12.78125 6.34375 \nQ 5.515625 14.109375 5.515625 27.296875 \nQ 5.515625 40.671875 12.859375 48.328125 \nQ 20.21875 56 33.015625 56 \nQ 37.15625 56 41.109375 55.140625 \nQ 45.0625 54.296875 48.78125 52.59375 \nz\n\" id=\"DejaVuSans-99\"/>\n        <path d=\"M 30.609375 48.390625 \nQ 23.390625 48.390625 19.1875 42.75 \nQ 14.984375 37.109375 14.984375 27.296875 \nQ 14.984375 17.484375 19.15625 11.84375 \nQ 23.34375 6.203125 30.609375 6.203125 \nQ 37.796875 6.203125 41.984375 11.859375 \nQ 46.1875 17.53125 46.1875 27.296875 \nQ 46.1875 37.015625 41.984375 42.703125 \nQ 37.796875 48.390625 30.609375 48.390625 \nz\nM 30.609375 56 \nQ 42.328125 56 49.015625 48.375 \nQ 55.71875 40.765625 55.71875 27.296875 \nQ 55.71875 13.875 49.015625 6.21875 \nQ 42.328125 -1.421875 30.609375 -1.421875 \nQ 18.84375 -1.421875 12.171875 6.21875 \nQ 5.515625 13.875 5.515625 27.296875 \nQ 5.515625 40.765625 12.171875 48.375 \nQ 18.84375 56 30.609375 56 \nz\n\" id=\"DejaVuSans-111\"/>\n        <path d=\"M 8.5 21.578125 \nL 8.5 54.6875 \nL 17.484375 54.6875 \nL 17.484375 21.921875 \nQ 17.484375 14.15625 20.5 10.265625 \nQ 23.53125 6.390625 29.59375 6.390625 \nQ 36.859375 6.390625 41.078125 11.03125 \nQ 45.3125 15.671875 45.3125 23.6875 \nL 45.3125 54.6875 \nL 54.296875 54.6875 \nL 54.296875 0 \nL 45.3125 0 \nL 45.3125 8.40625 \nQ 42.046875 3.421875 37.71875 1 \nQ 33.40625 -1.421875 27.6875 -1.421875 \nQ 18.265625 -1.421875 13.375 4.4375 \nQ 8.5 10.296875 8.5 21.578125 \nz\nM 31.109375 56 \nz\n\" id=\"DejaVuSans-117\"/>\n        <path d=\"M 44.28125 53.078125 \nL 44.28125 44.578125 \nQ 40.484375 46.53125 36.375 47.5 \nQ 32.28125 48.484375 27.875 48.484375 \nQ 21.1875 48.484375 17.84375 46.4375 \nQ 14.5 44.390625 14.5 40.28125 \nQ 14.5 37.15625 16.890625 35.375 \nQ 19.28125 33.59375 26.515625 31.984375 \nL 29.59375 31.296875 \nQ 39.15625 29.25 43.1875 25.515625 \nQ 47.21875 21.78125 47.21875 15.09375 \nQ 47.21875 7.46875 41.1875 3.015625 \nQ 35.15625 -1.421875 24.609375 -1.421875 \nQ 20.21875 -1.421875 15.453125 -0.5625 \nQ 10.6875 0.296875 5.421875 2 \nL 5.421875 11.28125 \nQ 10.40625 8.6875 15.234375 7.390625 \nQ 20.0625 6.109375 24.8125 6.109375 \nQ 31.15625 6.109375 34.5625 8.28125 \nQ 37.984375 10.453125 37.984375 14.40625 \nQ 37.984375 18.0625 35.515625 20.015625 \nQ 33.0625 21.96875 24.703125 23.78125 \nL 21.578125 24.515625 \nQ 13.234375 26.265625 9.515625 29.90625 \nQ 5.8125 33.546875 5.8125 39.890625 \nQ 5.8125 47.609375 11.28125 51.796875 \nQ 16.75 56 26.8125 56 \nQ 31.78125 56 36.171875 55.265625 \nQ 40.578125 54.546875 44.28125 53.078125 \nz\n\" id=\"DejaVuSans-115\"/>\n        <path d=\"M 18.3125 70.21875 \nL 18.3125 54.6875 \nL 36.8125 54.6875 \nL 36.8125 47.703125 \nL 18.3125 47.703125 \nL 18.3125 18.015625 \nQ 18.3125 11.328125 20.140625 9.421875 \nQ 21.96875 7.515625 27.59375 7.515625 \nL 36.8125 7.515625 \nL 36.8125 0 \nL 27.59375 0 \nQ 17.1875 0 13.234375 3.875 \nQ 9.28125 7.765625 9.28125 18.015625 \nL 9.28125 47.703125 \nL 2.6875 47.703125 \nL 2.6875 54.6875 \nL 9.28125 54.6875 \nL 9.28125 70.21875 \nz\n\" id=\"DejaVuSans-116\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"61.279297\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"116.259766\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"177.441406\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"240.820312\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"292.919922\" xlink:href=\"#DejaVuSans-116\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"106.648308\" xlink:href=\"#m2f806ab5f1\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- dancea -->\n      <g transform=\"translate(88.351433 254.356563)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 45.40625 46.390625 \nL 45.40625 75.984375 \nL 54.390625 75.984375 \nL 54.390625 0 \nL 45.40625 0 \nL 45.40625 8.203125 \nQ 42.578125 3.328125 38.25 0.953125 \nQ 33.9375 -1.421875 27.875 -1.421875 \nQ 17.96875 -1.421875 11.734375 6.484375 \nQ 5.515625 14.40625 5.515625 27.296875 \nQ 5.515625 40.1875 11.734375 48.09375 \nQ 17.96875 56 27.875 56 \nQ 33.9375 56 38.25 53.625 \nQ 42.578125 51.265625 45.40625 46.390625 \nz\nM 14.796875 27.296875 \nQ 14.796875 17.390625 18.875 11.75 \nQ 22.953125 6.109375 30.078125 6.109375 \nQ 37.203125 6.109375 41.296875 11.75 \nQ 45.40625 17.390625 45.40625 27.296875 \nQ 45.40625 37.203125 41.296875 42.84375 \nQ 37.203125 48.484375 30.078125 48.484375 \nQ 22.953125 48.484375 18.875 42.84375 \nQ 14.796875 37.203125 14.796875 27.296875 \nz\n\" id=\"DejaVuSans-100\"/>\n        <path d=\"M 54.890625 33.015625 \nL 54.890625 0 \nL 45.90625 0 \nL 45.90625 32.71875 \nQ 45.90625 40.484375 42.875 44.328125 \nQ 39.84375 48.1875 33.796875 48.1875 \nQ 26.515625 48.1875 22.3125 43.546875 \nQ 18.109375 38.921875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 21.34375 51.125 25.703125 53.5625 \nQ 30.078125 56 35.796875 56 \nQ 45.21875 56 50.046875 50.171875 \nQ 54.890625 44.34375 54.890625 33.015625 \nz\n\" id=\"DejaVuSans-110\"/>\n        <path d=\"M 56.203125 29.59375 \nL 56.203125 25.203125 \nL 14.890625 25.203125 \nQ 15.484375 15.921875 20.484375 11.0625 \nQ 25.484375 6.203125 34.421875 6.203125 \nQ 39.59375 6.203125 44.453125 7.46875 \nQ 49.3125 8.734375 54.109375 11.28125 \nL 54.109375 2.78125 \nQ 49.265625 0.734375 44.1875 -0.34375 \nQ 39.109375 -1.421875 33.890625 -1.421875 \nQ 20.796875 -1.421875 13.15625 6.1875 \nQ 5.515625 13.8125 5.515625 26.8125 \nQ 5.515625 40.234375 12.765625 48.109375 \nQ 20.015625 56 32.328125 56 \nQ 43.359375 56 49.78125 48.890625 \nQ 56.203125 41.796875 56.203125 29.59375 \nz\nM 47.21875 32.234375 \nQ 47.125 39.59375 43.09375 43.984375 \nQ 39.0625 48.390625 32.421875 48.390625 \nQ 24.90625 48.390625 20.390625 44.140625 \nQ 15.875 39.890625 15.1875 32.171875 \nz\n\" id=\"DejaVuSans-101\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"63.476562\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"124.755859\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"188.134766\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"243.115234\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"304.638672\" xlink:href=\"#DejaVuSans-97\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"152.075717\" xlink:href=\"#m2f806ab5f1\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- energy -->\n      <g transform=\"translate(134.652279 254.356563)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 41.109375 46.296875 \nQ 39.59375 47.171875 37.8125 47.578125 \nQ 36.03125 48 33.890625 48 \nQ 26.265625 48 22.1875 43.046875 \nQ 18.109375 38.09375 18.109375 28.8125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 20.953125 51.171875 25.484375 53.578125 \nQ 30.03125 56 36.53125 56 \nQ 37.453125 56 38.578125 55.875 \nQ 39.703125 55.765625 41.0625 55.515625 \nz\n\" id=\"DejaVuSans-114\"/>\n        <path d=\"M 45.40625 27.984375 \nQ 45.40625 37.75 41.375 43.109375 \nQ 37.359375 48.484375 30.078125 48.484375 \nQ 22.859375 48.484375 18.828125 43.109375 \nQ 14.796875 37.75 14.796875 27.984375 \nQ 14.796875 18.265625 18.828125 12.890625 \nQ 22.859375 7.515625 30.078125 7.515625 \nQ 37.359375 7.515625 41.375 12.890625 \nQ 45.40625 18.265625 45.40625 27.984375 \nz\nM 54.390625 6.78125 \nQ 54.390625 -7.171875 48.1875 -13.984375 \nQ 42 -20.796875 29.203125 -20.796875 \nQ 24.46875 -20.796875 20.265625 -20.09375 \nQ 16.0625 -19.390625 12.109375 -17.921875 \nL 12.109375 -9.1875 \nQ 16.0625 -11.328125 19.921875 -12.34375 \nQ 23.78125 -13.375 27.78125 -13.375 \nQ 36.625 -13.375 41.015625 -8.765625 \nQ 45.40625 -4.15625 45.40625 5.171875 \nL 45.40625 9.625 \nQ 42.625 4.78125 38.28125 2.390625 \nQ 33.9375 0 27.875 0 \nQ 17.828125 0 11.671875 7.65625 \nQ 5.515625 15.328125 5.515625 27.984375 \nQ 5.515625 40.671875 11.671875 48.328125 \nQ 17.828125 56 27.875 56 \nQ 33.9375 56 38.28125 53.609375 \nQ 42.625 51.21875 45.40625 46.390625 \nL 45.40625 54.6875 \nL 54.390625 54.6875 \nz\n\" id=\"DejaVuSans-103\"/>\n        <path d=\"M 32.171875 -5.078125 \nQ 28.375 -14.84375 24.75 -17.8125 \nQ 21.140625 -20.796875 15.09375 -20.796875 \nL 7.90625 -20.796875 \nL 7.90625 -13.28125 \nL 13.1875 -13.28125 \nQ 16.890625 -13.28125 18.9375 -11.515625 \nQ 21 -9.765625 23.484375 -3.21875 \nL 25.09375 0.875 \nL 2.984375 54.6875 \nL 12.5 54.6875 \nL 29.59375 11.921875 \nL 46.6875 54.6875 \nL 56.203125 54.6875 \nz\n\" id=\"DejaVuSans-121\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"61.523438\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"124.902344\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"186.425781\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"225.789062\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"289.265625\" xlink:href=\"#DejaVuSans-121\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"197.503125\" xlink:href=\"#m2f806ab5f1\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- instru -->\n      <g transform=\"translate(183.15625 254.356563)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 9.421875 54.6875 \nL 18.40625 54.6875 \nL 18.40625 0 \nL 9.421875 0 \nz\nM 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 64.59375 \nL 9.421875 64.59375 \nz\n\" id=\"DejaVuSans-105\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"27.783203\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"91.162109\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"143.261719\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"182.470703\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"223.583984\" xlink:href=\"#DejaVuSans-117\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"242.930533\" xlink:href=\"#m2f806ab5f1\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- livene -->\n      <g transform=\"translate(227.871158 254.356563)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 0 \nL 9.421875 0 \nz\n\" id=\"DejaVuSans-108\"/>\n        <path d=\"M 2.984375 54.6875 \nL 12.5 54.6875 \nL 29.59375 8.796875 \nL 46.6875 54.6875 \nL 56.203125 54.6875 \nL 35.6875 0 \nL 23.484375 0 \nz\n\" id=\"DejaVuSans-118\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"27.783203\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"55.566406\" xlink:href=\"#DejaVuSans-118\"/>\n       <use x=\"114.746094\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"176.269531\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"239.648438\" xlink:href=\"#DejaVuSans-101\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"288.357942\" xlink:href=\"#m2f806ab5f1\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- speech -->\n      <g transform=\"translate(270.507942 254.356563)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 18.109375 8.203125 \nL 18.109375 -20.796875 \nL 9.078125 -20.796875 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.390625 \nQ 20.953125 51.265625 25.265625 53.625 \nQ 29.59375 56 35.59375 56 \nQ 45.5625 56 51.78125 48.09375 \nQ 58.015625 40.1875 58.015625 27.296875 \nQ 58.015625 14.40625 51.78125 6.484375 \nQ 45.5625 -1.421875 35.59375 -1.421875 \nQ 29.59375 -1.421875 25.265625 0.953125 \nQ 20.953125 3.328125 18.109375 8.203125 \nz\nM 48.6875 27.296875 \nQ 48.6875 37.203125 44.609375 42.84375 \nQ 40.53125 48.484375 33.40625 48.484375 \nQ 26.265625 48.484375 22.1875 42.84375 \nQ 18.109375 37.203125 18.109375 27.296875 \nQ 18.109375 17.390625 22.1875 11.75 \nQ 26.265625 6.109375 33.40625 6.109375 \nQ 40.53125 6.109375 44.609375 11.75 \nQ 48.6875 17.390625 48.6875 27.296875 \nz\n\" id=\"DejaVuSans-112\"/>\n        <path d=\"M 54.890625 33.015625 \nL 54.890625 0 \nL 45.90625 0 \nL 45.90625 32.71875 \nQ 45.90625 40.484375 42.875 44.328125 \nQ 39.84375 48.1875 33.796875 48.1875 \nQ 26.515625 48.1875 22.3125 43.546875 \nQ 18.109375 38.921875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 75.984375 \nL 18.109375 75.984375 \nL 18.109375 46.1875 \nQ 21.34375 51.125 25.703125 53.5625 \nQ 30.078125 56 35.796875 56 \nQ 45.21875 56 50.046875 50.171875 \nQ 54.890625 44.34375 54.890625 33.015625 \nz\n\" id=\"DejaVuSans-104\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"52.099609\" xlink:href=\"#DejaVuSans-112\"/>\n       <use x=\"115.576172\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"177.099609\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"238.623047\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"293.603516\" xlink:href=\"#DejaVuSans-104\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"333.78535\" xlink:href=\"#m2f806ab5f1\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- valenc -->\n      <g transform=\"translate(317.378319 254.356563)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-118\"/>\n       <use x=\"59.179688\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"120.458984\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"148.242188\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"209.765625\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"273.144531\" xlink:href=\"#DejaVuSans-99\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_8\">\n      <path clip-path=\"url(#p963f63a0ba)\" d=\"M 30.103125 239.758125 \nL 364.903125 239.758125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_9\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m60535a1144\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m60535a1144\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 243.557344)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 31.78125 66.40625 \nQ 24.171875 66.40625 20.328125 58.90625 \nQ 16.5 51.421875 16.5 36.375 \nQ 16.5 21.390625 20.328125 13.890625 \nQ 24.171875 6.390625 31.78125 6.390625 \nQ 39.453125 6.390625 43.28125 13.890625 \nQ 47.125 21.390625 47.125 36.375 \nQ 47.125 51.421875 43.28125 58.90625 \nQ 39.453125 66.40625 31.78125 66.40625 \nz\nM 31.78125 74.21875 \nQ 44.046875 74.21875 50.515625 64.515625 \nQ 56.984375 54.828125 56.984375 36.375 \nQ 56.984375 17.96875 50.515625 8.265625 \nQ 44.046875 -1.421875 31.78125 -1.421875 \nQ 19.53125 -1.421875 13.0625 8.265625 \nQ 6.59375 17.96875 6.59375 36.375 \nQ 6.59375 54.828125 13.0625 64.515625 \nQ 19.53125 74.21875 31.78125 74.21875 \nz\n\" id=\"DejaVuSans-48\"/>\n        <path d=\"M 10.6875 12.40625 \nL 21 12.40625 \nL 21 0 \nL 10.6875 0 \nz\n\" id=\"DejaVuSans-46\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-48\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_10\">\n      <path clip-path=\"url(#p963f63a0ba)\" d=\"M 30.103125 196.270125 \nL 364.903125 196.270125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m60535a1144\" y=\"196.270125\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 200.069344)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 19.1875 8.296875 \nL 53.609375 8.296875 \nL 53.609375 0 \nL 7.328125 0 \nL 7.328125 8.296875 \nQ 12.9375 14.109375 22.625 23.890625 \nQ 32.328125 33.6875 34.8125 36.53125 \nQ 39.546875 41.84375 41.421875 45.53125 \nQ 43.3125 49.21875 43.3125 52.78125 \nQ 43.3125 58.59375 39.234375 62.25 \nQ 35.15625 65.921875 28.609375 65.921875 \nQ 23.96875 65.921875 18.8125 64.3125 \nQ 13.671875 62.703125 7.8125 59.421875 \nL 7.8125 69.390625 \nQ 13.765625 71.78125 18.9375 73 \nQ 24.125 74.21875 28.421875 74.21875 \nQ 39.75 74.21875 46.484375 68.546875 \nQ 53.21875 62.890625 53.21875 53.421875 \nQ 53.21875 48.921875 51.53125 44.890625 \nQ 49.859375 40.875 45.40625 35.40625 \nQ 44.1875 33.984375 37.640625 27.21875 \nQ 31.109375 20.453125 19.1875 8.296875 \nz\n\" id=\"DejaVuSans-50\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-48\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-50\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_12\">\n      <path clip-path=\"url(#p963f63a0ba)\" d=\"M 30.103125 152.782125 \nL 364.903125 152.782125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m60535a1144\" y=\"152.782125\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 156.581344)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 37.796875 64.3125 \nL 12.890625 25.390625 \nL 37.796875 25.390625 \nz\nM 35.203125 72.90625 \nL 47.609375 72.90625 \nL 47.609375 25.390625 \nL 58.015625 25.390625 \nL 58.015625 17.1875 \nL 47.609375 17.1875 \nL 47.609375 0 \nL 37.796875 0 \nL 37.796875 17.1875 \nL 4.890625 17.1875 \nL 4.890625 26.703125 \nz\n\" id=\"DejaVuSans-52\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-48\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-52\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_14\">\n      <path clip-path=\"url(#p963f63a0ba)\" d=\"M 30.103125 109.294125 \nL 364.903125 109.294125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m60535a1144\" y=\"109.294125\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 113.093344)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 33.015625 40.375 \nQ 26.375 40.375 22.484375 35.828125 \nQ 18.609375 31.296875 18.609375 23.390625 \nQ 18.609375 15.53125 22.484375 10.953125 \nQ 26.375 6.390625 33.015625 6.390625 \nQ 39.65625 6.390625 43.53125 10.953125 \nQ 47.40625 15.53125 47.40625 23.390625 \nQ 47.40625 31.296875 43.53125 35.828125 \nQ 39.65625 40.375 33.015625 40.375 \nz\nM 52.59375 71.296875 \nL 52.59375 62.3125 \nQ 48.875 64.0625 45.09375 64.984375 \nQ 41.3125 65.921875 37.59375 65.921875 \nQ 27.828125 65.921875 22.671875 59.328125 \nQ 17.53125 52.734375 16.796875 39.40625 \nQ 19.671875 43.65625 24.015625 45.921875 \nQ 28.375 48.1875 33.59375 48.1875 \nQ 44.578125 48.1875 50.953125 41.515625 \nQ 57.328125 34.859375 57.328125 23.390625 \nQ 57.328125 12.15625 50.6875 5.359375 \nQ 44.046875 -1.421875 33.015625 -1.421875 \nQ 20.359375 -1.421875 13.671875 8.265625 \nQ 6.984375 17.96875 6.984375 36.375 \nQ 6.984375 53.65625 15.1875 63.9375 \nQ 23.390625 74.21875 37.203125 74.21875 \nQ 40.921875 74.21875 44.703125 73.484375 \nQ 48.484375 72.75 52.59375 71.296875 \nz\n\" id=\"DejaVuSans-54\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-48\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-54\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_16\">\n      <path clip-path=\"url(#p963f63a0ba)\" d=\"M 30.103125 65.806125 \nL 364.903125 65.806125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_17\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m60535a1144\" y=\"65.806125\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 69.605344)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 31.78125 34.625 \nQ 24.75 34.625 20.71875 30.859375 \nQ 16.703125 27.09375 16.703125 20.515625 \nQ 16.703125 13.921875 20.71875 10.15625 \nQ 24.75 6.390625 31.78125 6.390625 \nQ 38.8125 6.390625 42.859375 10.171875 \nQ 46.921875 13.96875 46.921875 20.515625 \nQ 46.921875 27.09375 42.890625 30.859375 \nQ 38.875 34.625 31.78125 34.625 \nz\nM 21.921875 38.8125 \nQ 15.578125 40.375 12.03125 44.71875 \nQ 8.5 49.078125 8.5 55.328125 \nQ 8.5 64.0625 14.71875 69.140625 \nQ 20.953125 74.21875 31.78125 74.21875 \nQ 42.671875 74.21875 48.875 69.140625 \nQ 55.078125 64.0625 55.078125 55.328125 \nQ 55.078125 49.078125 51.53125 44.71875 \nQ 48 40.375 41.703125 38.8125 \nQ 48.828125 37.15625 52.796875 32.3125 \nQ 56.78125 27.484375 56.78125 20.515625 \nQ 56.78125 9.90625 50.3125 4.234375 \nQ 43.84375 -1.421875 31.78125 -1.421875 \nQ 19.734375 -1.421875 13.25 4.234375 \nQ 6.78125 9.90625 6.78125 20.515625 \nQ 6.78125 27.484375 10.78125 32.3125 \nQ 14.796875 37.15625 21.921875 38.8125 \nz\nM 18.3125 54.390625 \nQ 18.3125 48.734375 21.84375 45.5625 \nQ 25.390625 42.390625 31.78125 42.390625 \nQ 38.140625 42.390625 41.71875 45.5625 \nQ 45.3125 48.734375 45.3125 54.390625 \nQ 45.3125 60.0625 41.71875 63.234375 \nQ 38.140625 66.40625 31.78125 66.40625 \nQ 25.390625 66.40625 21.84375 63.234375 \nQ 18.3125 60.0625 18.3125 54.390625 \nz\n\" id=\"DejaVuSans-56\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-48\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-56\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_18\">\n      <path clip-path=\"url(#p963f63a0ba)\" d=\"M 30.103125 22.318125 \nL 364.903125 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_19\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m60535a1144\" y=\"22.318125\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.0 -->\n      <g transform=\"translate(7.2 26.117344)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 12.40625 8.296875 \nL 28.515625 8.296875 \nL 28.515625 63.921875 \nL 10.984375 60.40625 \nL 10.984375 69.390625 \nL 28.421875 72.90625 \nL 38.28125 72.90625 \nL 38.28125 8.296875 \nL 54.390625 8.296875 \nL 54.390625 0 \nL 12.40625 0 \nz\n\" id=\"DejaVuSans-49\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"patch_17\">\n    <path d=\"M 30.103125 239.758125 \nL 30.103125 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_18\">\n    <path d=\"M 364.903125 239.758125 \nL 364.903125 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_19\">\n    <path d=\"M 30.103125 239.758125 \nL 364.903125 239.758125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_20\">\n    <path d=\"M 30.103125 22.318125 \nL 364.903125 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"text_14\">\n    <!-- dicaprio 2 Average Descriptor -->\n    <g transform=\"translate(108.090938 16.318125)scale(0.12 -0.12)\">\n     <defs>\n      <path id=\"DejaVuSans-32\"/>\n      <path d=\"M 34.1875 63.1875 \nL 20.796875 26.90625 \nL 47.609375 26.90625 \nz\nM 28.609375 72.90625 \nL 39.796875 72.90625 \nL 67.578125 0 \nL 57.328125 0 \nL 50.6875 18.703125 \nL 17.828125 18.703125 \nL 11.1875 0 \nL 0.78125 0 \nz\n\" id=\"DejaVuSans-65\"/>\n      <path d=\"M 19.671875 64.796875 \nL 19.671875 8.109375 \nL 31.59375 8.109375 \nQ 46.6875 8.109375 53.6875 14.9375 \nQ 60.6875 21.78125 60.6875 36.53125 \nQ 60.6875 51.171875 53.6875 57.984375 \nQ 46.6875 64.796875 31.59375 64.796875 \nz\nM 9.8125 72.90625 \nL 30.078125 72.90625 \nQ 51.265625 72.90625 61.171875 64.09375 \nQ 71.09375 55.28125 71.09375 36.53125 \nQ 71.09375 17.671875 61.125 8.828125 \nQ 51.171875 0 30.078125 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-68\"/>\n     </defs>\n     <use xlink:href=\"#DejaVuSans-100\"/>\n     <use x=\"63.476562\" xlink:href=\"#DejaVuSans-105\"/>\n     <use x=\"91.259766\" xlink:href=\"#DejaVuSans-99\"/>\n     <use x=\"146.240234\" xlink:href=\"#DejaVuSans-97\"/>\n     <use x=\"207.519531\" xlink:href=\"#DejaVuSans-112\"/>\n     <use x=\"270.996094\" xlink:href=\"#DejaVuSans-114\"/>\n     <use x=\"312.109375\" xlink:href=\"#DejaVuSans-105\"/>\n     <use x=\"339.892578\" xlink:href=\"#DejaVuSans-111\"/>\n     <use x=\"401.074219\" xlink:href=\"#DejaVuSans-32\"/>\n     <use x=\"432.861328\" xlink:href=\"#DejaVuSans-50\"/>\n     <use x=\"496.484375\" xlink:href=\"#DejaVuSans-32\"/>\n     <use x=\"528.271484\" xlink:href=\"#DejaVuSans-65\"/>\n     <use x=\"590.804688\" xlink:href=\"#DejaVuSans-118\"/>\n     <use x=\"649.984375\" xlink:href=\"#DejaVuSans-101\"/>\n     <use x=\"711.507812\" xlink:href=\"#DejaVuSans-114\"/>\n     <use x=\"752.621094\" xlink:href=\"#DejaVuSans-97\"/>\n     <use x=\"813.900391\" xlink:href=\"#DejaVuSans-103\"/>\n     <use x=\"877.376953\" xlink:href=\"#DejaVuSans-101\"/>\n     <use x=\"938.900391\" xlink:href=\"#DejaVuSans-32\"/>\n     <use x=\"970.6875\" xlink:href=\"#DejaVuSans-68\"/>\n     <use x=\"1047.689453\" xlink:href=\"#DejaVuSans-101\"/>\n     <use x=\"1109.212891\" xlink:href=\"#DejaVuSans-115\"/>\n     <use x=\"1161.3125\" xlink:href=\"#DejaVuSans-99\"/>\n     <use x=\"1216.292969\" xlink:href=\"#DejaVuSans-114\"/>\n     <use x=\"1257.40625\" xlink:href=\"#DejaVuSans-105\"/>\n     <use x=\"1285.189453\" xlink:href=\"#DejaVuSans-112\"/>\n     <use x=\"1348.666016\" xlink:href=\"#DejaVuSans-116\"/>\n     <use x=\"1387.875\" xlink:href=\"#DejaVuSans-111\"/>\n     <use x=\"1449.056641\" xlink:href=\"#DejaVuSans-114\"/>\n    </g>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_21\">\n     <path d=\"M 233.307813 59.674375 \nL 357.903125 59.674375 \nQ 359.903125 59.674375 359.903125 57.674375 \nL 359.903125 29.318125 \nQ 359.903125 27.318125 357.903125 27.318125 \nL 233.307813 27.318125 \nQ 231.307813 27.318125 231.307813 29.318125 \nL 231.307813 57.674375 \nQ 231.307813 59.674375 233.307813 59.674375 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"patch_22\">\n     <path d=\"M 235.307813 38.916562 \nL 255.307813 38.916562 \nL 255.307813 31.916562 \nL 235.307813 31.916562 \nz\n\" style=\"fill:#1f77b4;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- All Listened Tracks -->\n     <g transform=\"translate(263.307813 38.916562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 9.8125 72.90625 \nL 19.671875 72.90625 \nL 19.671875 8.296875 \nL 55.171875 8.296875 \nL 55.171875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-76\"/>\n       <path d=\"M -0.296875 72.90625 \nL 61.375 72.90625 \nL 61.375 64.59375 \nL 35.5 64.59375 \nL 35.5 0 \nL 25.59375 0 \nL 25.59375 64.59375 \nL -0.296875 64.59375 \nz\n\" id=\"DejaVuSans-84\"/>\n       <path d=\"M 9.078125 75.984375 \nL 18.109375 75.984375 \nL 18.109375 31.109375 \nL 44.921875 54.6875 \nL 56.390625 54.6875 \nL 27.390625 29.109375 \nL 57.625 0 \nL 45.90625 0 \nL 18.109375 26.703125 \nL 18.109375 0 \nL 9.078125 0 \nz\n\" id=\"DejaVuSans-107\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"68.408203\" xlink:href=\"#DejaVuSans-108\"/>\n      <use x=\"96.191406\" xlink:href=\"#DejaVuSans-108\"/>\n      <use x=\"123.974609\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"155.761719\" xlink:href=\"#DejaVuSans-76\"/>\n      <use x=\"211.474609\" xlink:href=\"#DejaVuSans-105\"/>\n      <use x=\"239.257812\" xlink:href=\"#DejaVuSans-115\"/>\n      <use x=\"291.357422\" xlink:href=\"#DejaVuSans-116\"/>\n      <use x=\"330.566406\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"392.089844\" xlink:href=\"#DejaVuSans-110\"/>\n      <use x=\"455.46875\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"516.992188\" xlink:href=\"#DejaVuSans-100\"/>\n      <use x=\"580.46875\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"612.255859\" xlink:href=\"#DejaVuSans-84\"/>\n      <use x=\"658.589844\" xlink:href=\"#DejaVuSans-114\"/>\n      <use x=\"699.703125\" xlink:href=\"#DejaVuSans-97\"/>\n      <use x=\"760.982422\" xlink:href=\"#DejaVuSans-99\"/>\n      <use x=\"815.962891\" xlink:href=\"#DejaVuSans-107\"/>\n      <use x=\"873.873047\" xlink:href=\"#DejaVuSans-115\"/>\n     </g>\n    </g>\n    <g id=\"patch_23\">\n     <path d=\"M 235.307813 53.594687 \nL 255.307813 53.594687 \nL 255.307813 46.594687 \nL 235.307813 46.594687 \nz\n\" style=\"fill:#ff0000;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- Distinct Tracks -->\n     <g transform=\"translate(263.307813 53.594687)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-68\"/>\n      <use x=\"77.001953\" xlink:href=\"#DejaVuSans-105\"/>\n      <use x=\"104.785156\" xlink:href=\"#DejaVuSans-115\"/>\n      <use x=\"156.884766\" xlink:href=\"#DejaVuSans-116\"/>\n      <use x=\"196.09375\" xlink:href=\"#DejaVuSans-105\"/>\n      <use x=\"223.876953\" xlink:href=\"#DejaVuSans-110\"/>\n      <use x=\"287.255859\" xlink:href=\"#DejaVuSans-99\"/>\n      <use x=\"342.236328\" xlink:href=\"#DejaVuSans-116\"/>\n      <use x=\"381.445312\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"413.232422\" xlink:href=\"#DejaVuSans-84\"/>\n      <use x=\"459.566406\" xlink:href=\"#DejaVuSans-114\"/>\n      <use x=\"500.679688\" xlink:href=\"#DejaVuSans-97\"/>\n      <use x=\"561.958984\" xlink:href=\"#DejaVuSans-99\"/>\n      <use x=\"616.939453\" xlink:href=\"#DejaVuSans-107\"/>\n      <use x=\"674.849609\" xlink:href=\"#DejaVuSans-115\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p963f63a0ba\">\n   <rect height=\"217.44\" width=\"334.8\" x=\"30.103125\" y=\"22.318125\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAmwAAAG5CAYAAAAzjmgkAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAABJ0AAASdAHeZh94AABQLElEQVR4nO3deZwUxf3/8ddnuXFZQEEOEUHwQAQPFNSAIqhIOLwweAYwBgw/osTEeICwYIxoDCpEVOKBIoqIBk8uRTwjGA1fRFEEXDGCgnK5uoKw9fujepbZ2ZndmdmrWd7Px2Mes1vd1V1d093zmarqbnPOISIiIiLhlVHZBRARERGR4ilgExEREQk5BWwiIiIiIaeATURERCTkFLCJiIiIhJwCNhEREZGQU8AmIiIiEnIK2ERERERCTgGbiIiISMgpYBMREREJOQVsIiIiIiGngE32KWaWY2Y5MWmDzcyZ2eDKKVXZqCrbIZIKM5sW7PetKrssIuVJAZuIJMXMDjKz35vZ3CDw3WFm35nZQjM7v5TLHhV86TozO6Ksyryvi6rTyGuHmW0ysw/M7EEz621m1Sq7nGGgHzwSduacq+wyiFSYSOuac65VVFp9oBmwwTm3rXJKVnrlvR1mNgG4HvgceB34GjgEOB+oBdzlnLs2jeUasDZYlgF/d879qazKvS8zs8gJflzwXg1oALQHfgHUBP4DXOqcW1XhBSwDZtYMqA+scc79XIrlDAYeAYY456aVTelEyo4CNtmnxAvYJDlBK9p3zrnXY9LbAe8CWcAJzrn3U1xuL2AeMA04G6gOHOSc21kW5d6XRQI255zFmdYEmAxcCHyJ/+w2VmwJw0MBm4SdukSlyjFvhJl9ZGY/mdlXZvaPoAUq3vwJu0LMrIWZTTKzz8wsz8w2m9lSM7s5Zr7TzWyqmX1sZtuDeVeY2Vgzqx1nudnBOrub2SAz+2+QZ6OZPWxmTePkWRzkqWlmY8zs06CLa1oS29HJzJ4Jlr/DzL4wsylB60RSnHPPxgZrQfpK4Kng3+7JLi/Kb4P3fwIzgEbAeTHlnxds2zHxFmBmA4Ppd8ak729mt5nZyqB+t5nZq2Z2VpxlFNSfmZ0d1Pe2qFYqzOxcM3vczFaZ2Q/B630zu9rM4p5PzezwoO63BPO/Y2Z9ktjv/mFma21P1/PzZnZiCXWZNOfcN8BFwGLgYOCmOOVIpf5qBvXwQbCtP5rvOn/OzM6IM/+Rwb4e6V7faGZvmtnvYuZzwWfR1Hw37ldmtjtSbxZnDJuZtQrSpgXrmRMcuz+Y2Vux5TezxfhgDeARK9yNHL3c+kF9fGr+3LLFzOYn2L7uQf5sM+tsZi8FZdB4O0lL9cougEg5uBu4GtgATAV+Bs4BuuC7gJJquTGzE4D5wP7AG8CzQF3gKCAbuCVq9uuBI4F3gJeA2vgup2ygu5md4ZzbHWc1fwDOwgc884CuwJAgTxfn3KY4eZ4BTgTmAnOAYltFzKxvkMeA2cAXQCfgd8A5ZtbVOfd5cctIQqQralcqmcy38vQHVjnn3jGz7cAfgaHsCQIBHgV6Ab8OpscaFLxPi1r2IfhgpBXwJr5+9wP6AvPMbJhz7p9xljUA39I3F7gf31UbMQHIB5YAX+G74noA9+A/k8tjti+yTzTE7xfLgUOBfwEvJ6iT44EF+P1uPn6/awScC7xlZuc55+LmTZVzLt/M/oIPtC82sz+4oNsljfqbBlwMrAAeA/KA5vh9+mzglaht7AM8je9Knwc8ie+qPQb4M3BfTFH3x7fi5uLrIx/4JolNbA38G/gQeAA/ZGAgMNfMLnHORfaxacBW/HniOWBZ1DK2BmVuALyNP/7fw59nGgG/AhaY2e+ccw/EKcPJwI3AW8DDQR61HkvqnHN66VVlXsApgANWA/tHpdfGn7gdkBOTZ3CQPjgqrSZ+rJYDLomznhYx/x9KMMQgJv2WYBkDY9Kzg/SdwHEx0+4Kpj0Uk744SF8ONIqzrnjbkQl8B+wGusXMf30w/4JS1nkWfjxbPtAuxbw3BGW4MSrtP8Gy2sZ8fluD9VSPWUZTfKD4fpz6ygcuiklvgP9CzgOaxKm/fODsBOVtEyctAx9QOqBLzLRXg/TfxaT3DtJjP6/qwb77E3BaTJ7m+CBxA1Aryfp1gCthnlr4gNsBrdOpP3zgmh98dtXirOOAqL8bAduCff+0OPPGHluRenos9rMPpk8LpreKSmsVle9vMfOfEGzvFiCruOMnJt8DwfQHiDrWgcOC7dkRU4buUWUYVppjTC+9nHPqEpUqZ0jwfqtzbnMk0Tn3E/5XbrL64U/6zzvnnoid6Jz7X8z/a51z8QaE3hW890qwnunOuf/GpGXjvwAuMbNacfLc7Jz7tpiyRzsH3zrxlHPuzZhpfwdygDPNrGWSyyvEzAx4EGgC3Od892gqea/Ef9E/FjVpGr41MNJVGvn8ZgXria3Ly/CD6R+NWvYxwGnAM865mdEzO+e2AmPxQeAFcYr2nHNuXrwyO+fWxEnLx7ewEV02MzsY3/q2Gv8lH51nLlEtTlH6AG2AyS6m+9k5tx64Ax+g9oxXvnQ453bgg3qAxkHZU60/h//MduA/z9h1fBf17yB8kH9f7DYG8/4vNg0f3P3JOZdSCy7+OBofs/z/4LveGxDT9Z6ImdXE72e5+B8XBce6c+4zYBL+R96v42Rf5uK3vImkRF2iUtUcH7wX+SLAd0nE65aM56TgfW4yM5vZfsA1+C+Aw4F6+C+wiIMSZI33hbXNzJbhvzDbUbh7BmBpMmUKROpjUZz17DKzN/CB6XHAuhSWG/F3/KD1N4FUrxDtgQ9O5jvnvopKfyJY7mAzG+32XPk3DR/EDcJ3L0YMwreYRAfWJwfv9c0sO866Gwfv7eJMS1i/ZnYAcB3wS3yr6n4xs0R/zscG7/8OgrpYbwGxY58i5T4kQbkPC97bkaBLNU2RfTUSiKRUf8657Wb2Av6HzjIzewa/Tyxxzv0YkzelYyuQ49K7IOID59z3cdIX4/eb44gK9ItxBH44xNvRPwSjLAJGB8uLlcrxKpKQAjapaiIXFhQZ3xIEKMm2TDUI3r8qbiYAM6uBP2F3xo/feQrYxJ5xXWPx3U7xJBqH83XwHu9Cia/jpCUSyb8hwfRIeoMUlgmAmd2BH4P3BtAnaKlJxdDgfVp0onNuc/DlfwG+hXB2kP6Oma0C+ptZQ+fclmC819HAnJhWxwOC9zODVyKZcdLi1m8whuk9/LiopfhWwc347tgG+IA9+nNOuC8Wkx4p94XFlBnilzst5i+K2T/4NzJmMp36G4jvZr+EPbcR+cnMZuNbxyLb2yB4L/HYipLKPh8tneMrntIcR+mWXaQQBWxS1UTuP9YEf2+vAmZWHT9+Jl6XS6ytwXuilrFo5+CDtWnOuSHRE8xfhTm2mLxNEqRHrhItcj+1BF2viUTyF7nqNNAsZr6kmNldwEjgNaBvnFaUkvI3xg+iB3jSzJ5MMOtQgoAt8BjwF3xwcD97LjaIbSWJbM81zrlJqZSNPa1Msa7EB2vjnHPZ0RPM7GR8wBZte/Ce6DOOlx4p9znOuedLLmqZ6Ir/LvjGOZcTU46k6885l4fvzs8OuoNPxY8LuwzfitstmHVr8H4Q/mKApBaf5HyxUj6+EijNcZRu2UUK0Rg2qWo+CN5PizOtK36sUzLeDd57JzFv2+D92TjT4pWj2Onmbz9yLH7gedJjwhKIjI/rHmc91dnzJfpB7PR4zLsXH6wtxLespRSsBQbhx/y8DzyU4LUJOMPMWkfleww/RmpQ0LJ5MfAthbtIYc/n142yE/mcn4kzLd7nvCx4P9ni3/Kja5y08ih3QkG5RgX/Rncpl6oczrkvnXMz8GP6VgNdg+7k6GUnc2yV1vFmVi9OevfgPXr8aGS4RLxzxKfAj8AxQUtrrNOD96SOI5F0KGCTqmZa8D7KzCLdPJFun9tSWM4L+AH5/c3s4tiJZtYi6t+c4L17zDyHAreXsJ7LzSx23Es2vgvmyTS6GWPNwXfbXWxmJ8VMG4lvMXrFOVfi+LXgIoGpwHD8+KP+QatKOiIXFAx3zl0Z70VwNR6+ZQvwgQC++/kkfItWY+AJF3OH+2Bg+ZvA+WZ2RYLt6WBmB6ZQ5pzgvXvMco4jzgUtQZ0uxgd6w2LynE3R8WvgbymxBvh/ZvbLBOU+2czqplDuuIJtn4nfnnXAX6PKnlL9mVljM+sQZ7b98N2mu9hzK4tH8a2PvzOzU+Mst0VsWinUB8bELP8E4FJ8a9i/oiZFLowocgGO8zdxnoEfmxp9Ox/MrA3+NkI/A9PLquAisdQlKlWKc+5tM5sM/B5YEYyfidyHbQuJx6DELmenmV2Ivx/WE2Y2DN8yUBs/0Lone46fF/CtCNcGX1r/xZ/0++Jbfoq7AnMu8LaZzQrK1jV45eBveVEqzrnc4Av3aeB1M3sa/+XcCX//t6+JCSaKMQYfPOXhW49u8DFcIcucc3OKW4iZdcdfmPGhc664AdkP4Vt/hpjZ2KgrBB/FBzt/jfo/nkvwwd1DZnY1/t5pW4EWQEf82LeTKeE+dlEew19wcLeZnQ58hr8IoC++dXVgnDz/D3/vrilBABa5D9sF+ODsHKKuqnTO/Wz+iRLzgZfM7B18Xf+Iv7ntiUH+ZkFaUqIuHMhgz6OpuuJbOZfiH00VO74zlfo7CPivmX0YbOOX+CtB++K7ESdFBv875741s0vwXd2vmdncIE9WsNyD8T8kysIbwJVm1gX/OUTuw5aBv9XG9qh5/42v05FBa2Bk7Nlk5x/1dgO+xXGE+RsYv8ae+7DVA0a40t/PUCSxyr6viF56lfUL3yozAt+duANYD9yL/7WdQxL3YYua1hKYgr8n2078r/AlwE0x8x2M/wX+FT6g+Qh/A9DqwbIXx8yfHaR3D9a/LMi3CX/H9WZxyrKYYu6pVcJ2nIhvTdgUbMc6/M1Jm6dQr9PYc1+pRK9pSSxnRjDv1UnMuyCY97yotLr41hGHD/qKy18Pfwf/9/G3ZMgLPsuX8OPj9kum/qLmOQp4Hh+k/BAs90r23PeryPbjb6j8LD7Y+QEfGPQB/hTkOTdOngPxN+ldgQ8icvEB4mz8mLAi9yNLUN7Yz2cHvgv5ffyTJc4GMkpbf/ggcAw+wPsqWM+GYJ+9mPj3KGyPD4K/CvbJb/BXTQ+Nsw2LiyljZL9sFZVW8Hngf2A9h//B9iM+cOuVYFlnB59PblSdRS+3Ab7V/LNgG7fihwacFWdZ3YP82ckeY3rpVdxLzxIVqQRBi8dY4HTn3OLKLY1UBjObgW/FOtI592lll6cqCR799DnwqHNucOWWRqRsaAybiEg5MbMMi/9c2J74rrmPFayJSDI0hk1EpPzUBL40s9eAT/CD79vj7222Ez/GTUSkRArYRETKz8/4+8X1ALrgx999i78IZIIr+lgyEZG40h7DZmaZ+CumuuBvGtoQGOKcm5Zk/gb45+Kdhz+JLQX+6JzTfWxEREREopRmDFsj/FVB7YD/SyVjcLPGl/ADbv+Bv5ruQGCxmR1WXF4RERGRfU1pukQ34G898HVwI8L3Usg7ADgFuNA5NxsguA/VKvwz6C4pRblEREREqpS0W9icczucc+k+1HYA/p47BY/ycc5tAmYB55hZogdli4iIiOxzKuu2HscBHzjn8mPSl+LHsx1e8UUSERERCafKukq0Gf6RIbEijw1qDnwYL2Pw7LrGMcmZ+CBvBXueVyciIiISRjXxT8h53flHn5WosgK2OvjHesT6KWp6IsPxd4gXERER2Zudg3/cXYkqK2DLA+KNU6sdNT2RKfh7GEU7Epj9xBNPcOihh5ZB8URERETKx9q1a7nkkksAvkw2T2UFbBvw3aKxImnrE2V0zm3EP3i5gJkB0LFjR9q3b19GRRQREREpe5mZmZE/kx7GVVkXHSwDjg/uxxatC/Aj/vYeIiIiIkIFBGxm1szMjjSzGlHJs4EmwPlR8zUCLgRecM7FG98mIiIisk8qVZeomY0AGuCv6gToZ2Ytgr8nB1c+3AYMAloDOcG02cC7wCNmdhT+2XrDgWroggIRERGRQko7hu1PwCFR/5/Pnlazx4G4l6o653ab2S+BvwFX468KfQ8Y7Jz7tJRlEhEREalSShWwOedaJTHPYGBwnPQtwJXBS0REKsmuXbvYsmULubm5OOcquzgieyUzo1atWmRlZbHffvsVXBBZVirrKlEREQkB5xz/+9//yMvLo1q1alSvrq8FkXTs3r2bbdu2sW3bNvbff38OPPDAMg3adGSKiOzDvv/+e/Ly8qhfvz7NmjUr81YBkX3Jzp072bBhA5s3b2a//faLvn1HqVXWbT1ERCQEtm/fDlDmrQEi+6KaNWvSrJm/pWzk2CorCthERPZhP//8M9WrV1dXqEgZqVmzJjVq1GDHjrK9Q5kCNhGRfZhzjowMfRWIlCUzK/MLeHSUiojs49QVKlK2yuOYUsAmIiIiEnIK2ERERPCtItnZ2QX/T5s2DTMjJyen1MtevHgxZsbixYtLvaywys7O3qtaa1u1akXfvn0ruxhJU8AmIiJV3pQpUzAzunTpUubLjgQq3377bZkv+69//Stz5swp8+VWhkjQmsxLitJlQSIiElerG16q7CIAkDOhT6mXMWPGDFq1asXSpUtZvXo1bdu2LYOSJe/UU08lLy+PmjVrppTvr3/9KwMGDODcc88tn4JVoHbt2jF9+vRCaTfeeCOZmZmMGjWqkkq191DAJiIiVdrnn3/OO++8w7PPPsuwYcOYMWMGY8eOrdAyZGRkULt27QpdZ9g0adKEyy67rFDahAkTaNSoUZH0aPn5+ezcuXOfrz91iYqISJU2Y8YMGjZsSJ8+fRgwYAAzZsyo8DLEG8P22WefccEFF9C0aVNq165NixYtuOiii9i2bRvgx9T98MMPPProowVdhYMHDy7I/9VXX3HFFVfQpEkTatWqRfv27Xn44YfjrnfWrFnceuuttGjRgtq1a9OzZ09Wr15dpJxLlizh7LPPpn79+tStW5fTTjuNt99+u8h8b731FieeeCK1a9emTZs2PPDAA2VTUcF2jxgxghkzZtC+fXtq1arFvHnzALjzzjs55ZRTOOCAA6hTpw6dOnVi9uzZcZfz+OOP07lzZ+rWrUvDhg059dRTWbBgQbHrfvTRR6levTrXXXddQdrMmTPp1KkT9erVIysriw4dOnDPPfeU2fYmSy1sIiJSpc2YMYPzzz+fmjVrcvHFF3Pffffx3nvvceKJJ1ZamXbu3EmvXr3YsWMHv//972natClfffUVL774Ilu3bqV+/fpMnz6dK6+8ks6dOzN06FAA2rRpA8A333zDSSedVBDcNG7cmLlz5/Kb3/yG7du3M3LkyELrmzBhAhkZGfzpT39i27Zt3HHHHVx66aUsWbKkYJ5FixbRu3dvOnXqxNixY8nIyOCRRx6hR48evPnmm3Tu3BmADz/8kLPOOovGjRuTnZ3Nrl27GDt2LE2aNCmz+lm0aBGzZs1ixIgRNGrUiFatWgFwzz330L9/fy699FJ27tzJzJkzufDCC3nxxRfp02dP1/m4cePIzs7mlFNOYfz48dSsWZMlS5awaNEizjrrrLjrnDp1KldddRU33XQTf/nLXwBYuHAhF198MT179uT2228HYOXKlbz99ttcc801Zba9yVDAJiIiVdb777/PJ598wuTJkwHo2rUrLVq0YMaMGZUasH388cd8/vnnPP300wwYMKAgfcyYMQV/X3bZZVx11VUceuihRboMR40axe7du/nwww854IADALjqqqu4+OKLyc7OZtiwYdSpU6dg/p9++olly5YVjKFr2LAh11xzDStWrODoo4/GOcdVV13F6aefzty5cwsG/g8bNoz27dszevTogtapMWPG4JzjzTffpGXLlgBccMEFdOjQoczq59NPP+XDDz/kqKOOKpS+atWqQts1YsQIjj/+eCZOnFgQsK1evZrx48dz3nnnMXv27EI3hk50M9tJkyYxcuRIxo8fz+jRowvSX3rpJbKyspg/fz7VqlUrs+1Lh7pERUSkypoxYwZNmjTh9NNPB3x328CBA5k5cya7d++utHLVr18fgPnz5/Pjjz+mlNc5xzPPPEO/fv1wzvHtt98WvHr16sW2bdv44IMPCuUZMmRIoQseunXrBsDatWsBWLZsGZ999hmXXHIJ3333XcHyfvjhB3r27Mkbb7xBfn4+u3fvZv78+Zx77rkFwRr4Cwp69eqVVl3Ec9pppxUJ1oBCwdqWLVvYtm0b3bp1K7S9c+bMIT8/nzFjxhR5ike8K1DvuOMOrrnmGm6//fZCwRpAgwYN+OGHH1i4cGFpN6nUFLCJiEiVtHv3bmbOnMnpp5/O559/zurVq1m9ejVdunThm2++4dVXX620srVu3Zprr72WBx98kEaNGtGrVy/uvffegvFrxdm0aRNbt25l6tSpNG7cuNBryJAhAGzcuLFQnujgCnwLG/igB/x4OoBBgwYVWeaDDz7Ijh072LZtG5s2bSIvL4/DDjusSLmOOOKI1CsigdatW8dNf/HFFznppJOoXbs2+++/P40bN+a+++4rVG9r1qwhIyMjbsAX6/XXX+f666/n+uuvLzRuLWL48OEcfvjh9O7dmxYtWnDFFVcUjKeraOoSFRGRKmnRokVs2LCBmTNnMnPmzCLTZ8yYkXA8U0X4+9//zuDBg3nuuedYsGABV199NbfddhvvvvsuLVq0SJgvPz8f8F2mgwYNijtPx44dC/2fqDsv0kUYWebf/vY3jj322LjzZmZmlvkDzROJbkmLePPNN+nfvz+nnnoqU6ZMoVmzZtSoUYNHHnmEJ554Iq31tG/fnq1btzJ9+nSGDRtWJFA88MADWbZsGfPnz2fu3LnMnTuXRx55hF//+tc8+uijaa0zXQrYRESkSpoxYwYHHngg9957b5Fpzz77LP/617+4//774wYHFaVDhw506NCB0aNH88477/CLX/yC+++/v2DQe7wuvMaNG1OvXj12797NGWecUSbliFzMkJWVVewyGzduTJ06dQpa5KJ9+umnZVKWRJ555hlq167N/PnzqVWrVkH6I488Umi+Nm3akJ+fz8cff5ww+Ixo1KgRs2fPpmvXrvTs2ZO33nqL5s2bF5qnZs2a9OvXj379+pGfn8/w4cN54IEHuPnmmyv0fn7qEhURkSonLy+PZ599lr59+zJgwIAirxEjRvD999/z/PPPV0r5tm/fzq5duwqldejQgYyMjEKtWPvttx9bt24tNF+1atW44IILeOaZZ1ixYkWRZW/atCnl8nTq1Ik2bdpw5513kpubm3CZ1apVo1evXsyZM4d169YVTF+5ciXz589Peb2pqFatGmZWaOxhTk5OkSdBnHvuuWRkZDB+/PiClsOIeBcdtGjRgldeeYW8vDzOPPNMvvvuu4Jp0X+Dv59epPWyolobI9TCJiIiVc7zzz/P999/T//+/eNOP+mkk2jcuDEzZsxg4MCBZbLOiRMnUrdu3UJpGRkZ3HTTTUXmXbRoESNGjODCCy/k8MMPZ9euXUyfPr0gGIvo1KkTr7zyChMnTqR58+a0bt2aLl26MGHCBF577TW6dOnCb3/7W4466ig2b97MBx98wCuvvMLmzZtTKntGRgYPPvggvXv3pn379gwZMoSDDjqIr776itdee42srCxeeOEFwN8yY968eXTr1o3hw4eza9cuJk+eTPv27Vm+fHkaNZecPn36MHHiRM4++2wuueQSNm7cyL333kvbtm0Lrbdt27aMGjWKW265hW7dunH++edTq1Yt3nvvPZo3b85tt91WZNlt27ZlwYIFdO/enV69erFo0SKysrK48sor2bx5Mz169KBFixZ88cUXTJ48mWOPPZZ27dqV27bGo4BNRESqnBkzZlC7dm3OPPPMuNMzMjLo06cPM2bM4Lvvviu4NUZpxAsEqlWrFjdgO+aYY+jVqxcvvPACX331FXXr1uWYY45h7ty5nHTSSQXzTZw4kaFDhzJ69Gjy8vIYNGgQXbp0oUmTJixdupTx48fz7LPPMmXKFA444ADat29fcL+wVHXv3p1///vf3HLLLfzjH/8gNzeXpk2b0qVLF4YNG1YwX8eOHZk/fz7XXnstY8aMoUWLFowbN44NGzaUa8DWo0cPHnroISZMmMDIkSNp3bo1t99+Ozk5OUXWO378eFq3bs3kyZMZNWoUdevWpWPHjlx++eUJl9+hQwfmzp3LGWecQb9+/Zg3bx6XXXYZU6dOZcqUKWzdupWmTZsycOBAsrOzi1yBWt4s0T1J9iZm1h5YsWLFCtq3b1/ZxRER2WtEbutw6KGHVnJJRKqOko6rjz76iKOPPhrgaOfcR8ksU2PYREREREJOAZuIiIhIyClgExEREQk5BWwiIiIiIaeATURERCTkFLCJiIiIhJwCNhEREZGQU8AmIiIiEnIK2ERERERCTgGbiIiISMgpYBMREREJOQVsIiIigezsbMyszJY3ePBgWrVqVWbLqypatWpF3759K7sYexUFbCIiUiVNmzYNMyt41a5dm+bNm9OrVy8mTZrE999/XybrWb9+PdnZ2SxbtqxMlpeKd955h+zsbLZu3VrsfIsXLy5UF8W9JJyqV3YBREREytP48eNp3bo1P//8M19//TWLFy9m5MiRTJw4keeff56OHTsWzDt69GhuuOGGlJa/fv16xo0bR6tWrTj22GMLTfvnP/9Jfn5+WWxGXO+88w7jxo1j8ODBNGjQIOF87dq1Y/r06YXSbrzxRjIzMxk1alS5lU/KjgI2ERGJLyytLc6VKnvv3r054YQTCv6/8cYbWbRoEX379qV///6sXLmSOnXqAFC9enWqVy+7r8YaNWqU2bJKo0mTJlx22WWF0iZMmECjRo2KpEfLz89n586d1K5du7yLKCVQl6iIiOxzevTowc0338wXX3zB448/XpAebwzbwoUL6dq1Kw0aNCAzM5MjjjiCm266CfBdjSeeeCIAQ4YMKehWnDZtGlB0DFtOTg5mxp133snUqVNp06YNtWrV4sQTT+S9994rUs5PPvmEX/3qVzRu3Jg6depwxBFHFLSIZWdnc9111wHQunXrgnXn5OSkXS9mxogRI5gxYwbt27enVq1azJs3D4A777yTU045hQMOOIA6derQqVMnZs+eHXc5jz/+OJ07d6Zu3bo0bNiQU089lQULFhS77kcffZTq1asXbBPAzJkz6dSpE/Xq1SMrK4sOHTpwzz33pL19ezO1sImIyD7p8ssv56abbmLBggX89re/jTvPRx99RN++fenYsSPjx4+nVq1arF69mrfffhvwXY3jx49nzJgxDB06lG7dugFwyimnFLvuJ554gu+//55hw4ZhZtxxxx2cf/75rF27tqBVbvny5XTr1o0aNWowdOhQWrVqxZo1a3jhhRe49dZbOf/881m1ahVPPvkkd911F40aNQKgcePGpaqXRYsWMWvWLEaMGEGjRo0KAs577rmH/v37c+mll7Jz505mzpzJhRdeyIsvvkifPn0K8o8bN47s7GxOOeUUxo8fT82aNVmyZAmLFi3irLPOirvOqVOnctVVV3HTTTfxl7/8BfCB8sUXX0zPnj25/fbbAVi5ciVvv/0211xzTam2cW+kgE1ERPZJLVq0oH79+qxZsybhPAsXLmTnzp3MnTu3ICCK1qRJE3r37s2YMWM4+eSTi+1ejLZu3To+++wzGjZsCMARRxzBOeecw/z58wuunvz973+Pc44PPviAli1bFuSdMGECAB07duT444/nySef5Nxzzy2zq1E//fRTPvzwQ4466qhC6atWrSroOgYYMWIExx9/PBMnTiwI2FavXs348eM577zzmD17NhkZezryXIKu7UmTJjFy5EjGjx/P6NGjC9JfeuklsrKymD9/PtWqVSuTbdubqUtURET2WZmZmcVeLRoZyP/cc8+V6cUDAwcOLAjWgIKWubVr1wKwadMm3njjDa644opCwRpQ7ldynnbaaUWCNaBQsLZlyxa2bdtGt27d+OCDDwrS58yZQ35+PmPGjCkUrEH8ct9xxx1cc8013H777YWCNfB1/8MPP7Bw4cLSblKVoIBNRET2Wbm5udSrVy/h9IEDB/KLX/yCK6+8kiZNmnDRRRcxa9asUgdvsUFYJHjbsmULsCdwO/roo0u1nnS0bt06bvqLL77ISSedRO3atdl///1p3Lgx9913H9u2bSuYZ82aNWRkZMQN+GK9/vrrXH/99Vx//fWFxq1FDB8+nMMPP5zevXvTokULrrjiioLxdPsiBWwiIrJP+t///se2bdto27Ztwnnq1KnDG2+8wSuvvMLll1/O8uXLGThwIGeeeSa7d+9Oe92JuvgSdRtWpOiWtIg333yT/v37U7t2baZMmcLLL7/MwoULueSSS9Iuc/v27TniiCOYPn06n3/+eZHpBx54IMuWLeP555+nf//+vPbaa/Tu3ZtBgwaltb69nQI2ERHZJ0XuS9arV69i58vIyKBnz55MnDiRjz/+mFtvvZVFixbx2muvAeXTRXnooYcCsGLFimLnq6gb3T7zzDPUrl2b+fPnc8UVV9C7d2/OOOOMIvO1adOG/Px8Pv744xKX2ahRI1555RVq1KhBz549Wb9+fZF5atasSb9+/ZgyZQpr1qxh2LBhPPbYY6xevbpMtmtvooBNRET2OYsWLeKWW26hdevWXHrppQnn27x5c5G0yM1xd+zYAcB+++0HUOLTBlLRuHFjTj31VB5++GHWrVtXaFp0i1Z5rDueatWqYWaFWhVzcnKYM2dOofnOPfdcMjIyGD9+fJFu43gtcS1atOCVV14hLy+PM888k++++65gWvTf4APnyE2OI3W/L9FVoiIiUqXNnTuXTz75hF27dvHNN9+waNEiFi5cyCGHHMLzzz9f7E1hx48fzxtvvEGfPn045JBD2LhxI1OmTKFFixZ07doV8K1KDRo04P7776devXrst99+dOnSJeFYsGRNmjSJrl27cvzxxzN06FBat25NTk4OL730UsFjsDp16gTAqFGjuOiii6hRowb9+vUrCOTKSp8+fZg4cSJnn302l1xyCRs3buTee++lbdu2LF++vGC+tm3bMmrUKG655Ra6devG+eefT61atXjvvfdo3rw5t912W5Flt23blgULFtC9e3d69erFokWLyMrK4sorr2Tz5s306NGDFi1a8MUXXzB58mSOPfZY2rVrV6bbtzdQwCYiIlXamDFjAN+9tv/++9OhQwfuvvtuhgwZUuwFBwD9+/cnJyeHhx9+mG+//ZZGjRpx2mmnMW7cOOrXrw/4pxk8+uij3HjjjVx11VXs2rWLRx55pNQB2zHHHMO7777LzTffzH333cdPP/3EIYccwq9+9auCeU488URuueUW7r//fubNm0d+fj6ff/55mQdsPXr04KGHHmLChAmMHDmS1q1bc/vtt5OTk1MoYIM9jwKbPHkyo0aNom7dunTs2JHLL7884fI7dOjA3LlzOeOMM+jXrx/z5s3jsssuY+rUqUyZMoWtW7fStGlTBg4cSHZ2dpErUPcFFoYBjqVlZu2BFStWrKB9+/aVXRwRkb1G5GrEyJgpESm9ko6rjz76KHIF8NHOuY+SWea+F6KKiIiI7GUUsImIiIiEnAI2ERERkZBTwCYiIiIScgrYREREREJOAZuIiIhIyClgExHZx1WF2zuJhEl5HFMK2ERE9mEZGRns3r1bQZtIGXHOsXv37jJ/zqsCNhGRfVitWrXYvXs3GzduVNAmUkq7du1iw4YN7N69m8zMzDJdth5NJSKyD2vSpAk7duxg8+bNbNu2reAh3yKSPOcc+fn57Nq1C4C6devSsGHDMl1H2i1sZlbLzG43s/VmlmdmS8zszCTznmFmr5nZt2a21cyWmlnih4yJiEi5yMjIoGXLljRo0ICaNWsqWBNJg5lRvXp16tWrx0EHHUTLli2pXr1s28RKs7RpwADgbuAzYDDwspmd7px7K1EmM+sPzAH+DWQDDvgV8JiZNXLO3VWKMomISIoyMjJo1qxZZRdDRIqRVsBmZp2Bi4DrnHN3BmmPASuAO4BTisk+AtgA9HDO7QjyPgB8gg/6FLCJiIiIREm3S3QAsBuYGklwzv0EPAScbGYHF5M3C9gSCdaCvLuAb4G8NMsjIiIiUmWlG7AdB6xyzm2PSV8avB9bTN7FQHszu8XM2ppZGzO7GTgB3zonIiIiIlHSHcPWDN+tGSuS1ryYvLcArYFRwOgg7UfgAufccyWt2MwOBBrHJLcByM3NZfv22BhSREREJDxyc3NTzpNuwFYH2BEn/aeo6YnsAFYBs4FngWrAUOBxMzvTOfduCeseDoyNN2Hp0qV8/fXXJWQXERERqTzr1q1LOU+6AVseUCtOeu2o6Yn8AzgJON45lw9gZrOAj4B7gC4lrHsK8HRMWhvguc6dO9OuXbsSsouIiIhUnpUrV6acJ92AbQNwUJz0yHXh6+NlMrOawG+AOyLBGoBz7mczmwuMMLOazrmdiVbsnNsIbIxZLgCZmZlkZWWlsh0iIiIiFSqdpyCke9HBMuBwM4uNjrpETY/nAHyQWC3OtBpBeeJNExEREdlnpRuwzWbP2DPAP/kAGAIscc59GaS1NLMjo/JtBLYC5wWtbZG8mUA/4BPnnG7tISIiIhIlrS5R59wSM3sauC24anM1MAhohe/yjHgMOA2wIN9uM7sT+AvwbnCz3WpBnhbAZWluh4iIiEiVVZpHU/0af4uOy4GGwHKgr3PujeIyOeduNbPPgWvwV3vWCvIOcM49U4ryiIiIiFRJaQdswZMNrgteiebpniD9CeCJdNctIiIisi9JdwybiIiIiFQQBWwiIiIiIaeATURERCTkFLCJiIiIhJwCNhEREZGQU8AmIiIiEnIK2ERERERCTgGbiIiISMgpYBMREREJOQVsIiIiIiGngE1EREQk5BSwiYiIiIScAjYRERGRkFPAJiIiIhJyCthEREREQk4Bm4iIiEjIKWATERERCTkFbCIiIiIhp4BNREREJOQUsImIiIiEXPXKLoBImTCrmPU4VzHrERERiaIWNhEREZGQU8AmIiIiEnIK2ERERERCTgGbiIiISMgpYBMREREJOQVsIiIiIiGn23qI7Gsq6hYooNugiIiUEQVsUm5a3fBSha0rp8LWJCIiUvHUJSoiIiIScgrYREREREJOAZuIiIhIyClgExEREQk5BWwiIiIiIaeATURERCTkFLCJiIiIhJwCNhEREZGQU8AmIiIiEnIK2ERERERCTgGbiIiISMgpYBMREREJOQVsIiIiIiFXvbILICJeqxteqpD15FTIWkREpCyphU1EREQk5BSwiYiIiIScAjYRERGRkFPAJiIiIhJyCthEREREQk4Bm4iIiEjIKWATERERCTkFbCIiIiIhp4BNREREJOQUsImIiIiEnAI2ERERkZBTwCYiIiIScgrYREREREJOAZuIiIhIyClgExEREQk5BWwiIiIiIZd2wGZmtczsdjNbb2Z5ZrbEzM5MIf9AM/u3mf1gZlvN7B0z65FueURERESqqtK0sE0DrgVmANcAu4GXzaxrSRnNLBt4EvgyWMZoYDlwUCnKIyIiIlIlVU8nk5l1Bi4CrnPO3RmkPQasAO4ATikm70nAGOCPzrm70lm/iIiIyL4k3Ra2AfgWtamRBOfcT8BDwMlmdnAxeUcCXwP3mJeZZhlERERE9gnpBmzHAaucc9tj0pcG78cWk7cn8B5wNbAJ+N7MNpjZiDTLIiIiIlKlpdUlCjQDNsRJj6Q1j5fJzBoCjYBfAD2AccA6YAgw2cx+ds49UNyKzexAoHFMchuA3Nxctm+PjSGlsjSt4ypsXdsPLq5RtyxXVH77V0XVV4XVFZRrfYmI7K1yc3NTzmPOpf4lYWZrgE+dc7+MST8UWAP8wTl3d5x8B+MDNICLnHNPBekZwIdAlnOu2G+T4IKFsfGmTZo0iZYtW6a2MSIiIiIVaN26dVx99dUARzvnPkomT7otbHlArTjptaOmJ8oH8DMwO5LonMs3s6eAcWbW0jm3Lm5ubwrwdExaG+C5zp07065duxILLxXjrLveqLB1LXhoeMWsaMWKclt0RdVXhdUVlGt9iYjsrVauXJlynnQDtg3EvwVHs+B9fYJ8m4GfgK3Oud0x0zYG7w3Z0wpXhHNuY9S8AJgZAJmZmWRlZRVbcKk4X+dZha0r68svK2hF5bd/VVR9VVhdQbnWl4jI3iozM/XrLdO96GAZcLiZxZ6Nu0RNL8I5lx9Ma2xmNWMmR8a9bUqzTCIiIiJVUroB22ygGjA0kmBmtfAXDyxxzn0ZpLU0syNj8j4V5B0Ulbc2cCnwsXMuUeuciIiIyD4prS5R59wSM3sauC24anM1PgBrBfwmatbHgNOA6L6eB4ArgXvN7HB89+flwCFAv3TKIyIiIlKVpTuGDeDXwC34YKsh/tFSfZ1zxY6cds7lBc8MvQO4AtgP303axzk3vxTlEREREamS0g7YgicbXBe8Es3TPUH6RmBwuusWERER2ZeU5uHvIiIiIlIBFLCJiIiIhJwCNhEREZGQU8AmIiIiEnIK2ERERERCTgGbiIiISMgpYBMREREJOQVsIiIiIiGngE1EREQk5BSwiYiIiIScAjYRERGRkFPAJiIiIhJyCthEREREQk4Bm4iIiEjIKWATERERCTkFbCIiIiIhp4BNREREJOQUsImIiIiEnAI2ERERkZBTwCYiIiIScgrYREREREJOAZuIiIhIyClgExEREQk5BWwiIiIiIaeATURERCTkFLCJiIiIhJwCNhEREZGQU8AmIiIiEnIK2ERERERCTgGbiIiISMgpYBMREREJOQVsIiIiIiGngE1EREQk5KpXdgFERERESmRWcetyruLWlSS1sImIiIiEnAI2ERERkZBTwCYiIiIScgrYREREREJOAZuIiIhIyClgExEREQk5BWwiIiIiIaeATURERCTkFLCJiIiIhJwCNhEREZGQU8AmIiIiEnIK2ERERERCTgGbiIiISMgpYBMREREJOQVsIiIiIiGngE1EREQk5BSwiYiIiIRc9cougIiIiOy9Wt3wUoWsJ6dC1hJeamETERERCTkFbCIiIiIhp4BNREREJOQUsImIiIiEnAI2ERERkZBTwCYiIiIScmkHbGZWy8xuN7P1ZpZnZkvM7Mw0lrPQzJyZ/SPdsoiIiIhUZaVpYZsGXAvMAK4BdgMvm1nXZBdgZucDJ5eiDCIiIiJVXloBm5l1Bi4CbnTOXeecmwr0AL4A7khyGbWBvwO3p1MGERERkX1Fui1sA/AtalMjCc65n4CHgJPN7OAklvHnYP13plkGERERkX1CugHbccAq59z2mPSlwfuxxWU2s5bADcD1zrm8NMsgIiIisk9I91mizYANcdIjac1LyP934L/OuZmprtjMDgQaxyS3AcjNzWX79tgYUipL0zquwta1/eBkGnXLYkXlt39VVH1VWF1BudaXiISDzl2py83NTTmPOZd6RZvZGuBT59wvY9IPBdYAf3DO3Z0g7+nAq0AX59x7QZoD7nXOjUhi3dnA2HjTJk2aRMuWLVPYEhEREZGKtW7dOq6++mqAo51zHyWTJ90WtjygVpz02lHTizCz6sAkYHokWEvDFODpmLQ2wHOdO3emXbt2aS5WytpZd71RYeta8NDwilnRihXltuiKqq8Kqyso1/oSkXDQuSt1K1euTDlPugHbBuCgOOnNgvf1CfL9GjgCGGZmrWKm1QvSNjrnfky0YufcRmBjdJqZAZCZmUlWVlZJZZcK8nWeVdi6sr78soJWVH77V0XVV4XVFZRrfYlIOOjclbrMzMyU86R70cEy4HAzi92iLlHT42kJ1ADeBj6PeoEP5j4HzkqzTCIiIiJVUrotbLOBPwFDCW7LYWa1gCHAEufcl0FaS6Cuc+6TIN9M4gdz/wJeBv4JLEmzTCIiIiJVUloBm3NuiZk9DdwWXLW5GhgEtAJ+EzXrY8BpgAX5PgE+IUbQpfm5c25OOuURERERqcrSbWED34V5C3A50BBYDvR1zlXcSHMRERGRfUDaAVvwZIPrgleiebonuayKG50uIiIispcpzcPfRURERKQCKGATERERCTkFbCIiIiIhp4BNREREJOQUsImIiIiEnAI2ERERkZBTwCYiIiIScgrYREREREJOAZuIiIhIyClgExEREQk5BWwiIiIiIaeATURERCTkFLCJiIiIhJwCNhEREZGQU8AmIiIiEnLVK7sAIiIiYdLqhpcqZD05E/pUyHqkalALm4iIiEjIKWATERERCTkFbCIiIiIhp4BNREREJOQUsImIiIiEnAI2ERERkZBTwCYiIiIScroPm4iISGUwq7h1OVdx65JyoRY2ERERkZBTwCYiIiIScuoSFRGp4irqUUugxy2JlBe1sImIiIiEnAI2ERERkZBTwCYiIiIScgrYREREREJOAZuIiIhIyOkqURERKTsVdTNY3QhW9jFqYRMREREJOQVsIiIiIiGngE1EREQk5BSwiYiIiIScAjYRERGRkFPAJiIiIhJyCthEREREQk4Bm4iIiEjIKWATERERCTkFbCIiIiIhp4BNREREJOQUsImIiIiEnAI2ERERkZBTwCYiIiIScgrYREREREJOAZuIiIhIyClgExEREQk5BWwiIiIiIaeATURERCTkFLCJiIiIhJwCNhEREZGQU8AmIiIiEnIK2ERERERCTgGbiIiISMgpYBMREREJOQVsIiIiIiGXdsBmZrXM7HYzW29meWa2xMzOTCLf+Wb2lJmtNbMfzexTM/u7mTVItywiIiIiVVlpWtimAdcCM4BrgN3Ay2bWtYR8U4F2wOPA1cA8YATwbzOrU4ryiIiIiFRJ1dPJZGadgYuA65xzdwZpjwErgDuAU4rJPsA5tzhmee8DjwKXAg+mUyYRERGRqirdFrYB+Ba1qZEE59xPwEPAyWZ2cKKMscFa4F/Be7s0yyMiIiJSZaUbsB0HrHLObY9JXxq8H5vi8poG79+mWR4RERGRKiutLlGgGbAhTnokrXmKy7se32I3u6QZzexAoHFMchuA3Nxctm+PjSGlsjSt4ypsXdsPTtioW8YrKr/9q6Lqq8LqCsq1viR5OhZTo2MxNaqv1OXm5qacx5xLvaLNbA3wqXPulzHphwJrgD845+5OclmX4C9cuMM5d30S82cDY+NNmzRpEi1btkxmtSIiIiKVYt26dVx99dUARzvnPkomT7otbHlArTjptaOml8jMuuHHvc0HRiW57inA0zFpbYDnOnfuTLt2GgYXFmfd9UaFrWvBQ8MrZkUrVpTboiuqviqsrqBc60uSp2MxNToWU6P6St3KlStTzpNuwLYBOChOerPgfX1JCzCzY4Dn8VeWDnDO7Upmxc65jcDGmGUBkJmZSVZWVjKLkQrwdZ5V2LqyvvyyglZUfvtXRdVXhdUVlGt9SfJ0LKZGx2JqVF+py8zMTDlPugHbMuB0M8uKufCgS9T0hMysDf7+axuBXzrnUu/MrQStbnipwtaVM6FPha1LREREwi3dq0RnA9WAoZEEM6sFDAGWOOe+DNJamtmR0RnNrCmwAMgHejnnNqVZBhEREZF9QlotbM65JWb2NHBbcNXmamAQ0Ar4TdSsjwGnAdHtpfOAQ/E32O0a82SEb5xzC9Mpk4iIiEhVlW6XKMCvgVuAy4GGwHKgr3OupNGHxwTvf44z7XVAAZuIiIhIlLQDtuDJBtcFr0TzdI+TVnGjX0VERESqgNI8/F1EREREKoACNhEREZGQU8AmIiIiEnIK2ERERERCTgGbiIiISMgpYBMREREJOQVsIiIiIiGngE1EREQk5BSwiYiIiIScAjYRERGRkFPAJiIiIhJypXn4u5Qnq6BHrjpXMesRERGRtKmFTURERCTkFLCJiIiIhJwCNhEREZGQU8AmIiIiEnIK2ERERERCTgGbiIiISMgpYBMREREJOQVsIiIiIiGngE1EREQk5BSwiYiIiIScAjYRERGRkFPAJiIiIhJyCthEREREQk4Bm4iIiEjIKWATERERCTkFbCIiIiIhp4BNREREJOQUsImIiIiEnAI2ERERkZBTwCYiIiIScgrYREREREJOAZuIiIhIyClgExEREQk5BWwiIiIiIaeATURERCTkFLCJiIiIhJwCNhEREZGQU8AmIiIiEnIK2ERERERCTgGbiIiISMgpYBMREREJOQVsIiIiIiGngE1EREQk5BSwiYiIiIScAjYRERGRkFPAJiIiIhJyCthEREREQk4Bm4iIiEjIKWATERERCTkFbCIiIiIhp4BNREREJOQUsImIiIiEnAI2ERERkZBTwCYiIiIScgrYREREREJOAZuIiIhIyKUdsJlZLTO73czWm1memS0xszOTzHuQmc0ys61mtt3MnjOzQ9Mti4iIiEhVVpoWtmnAtcAM4BpgN/CymXUtLpOZZQKvAacBfwXGAscBr5vZAaUoj4iIiEiVVD2dTGbWGbgIuM45d2eQ9hiwArgDOKWY7MOBw4DOzrn3grxzg7x/BG5Kp0wiIiIiVVW6LWwD8C1qUyMJzrmfgIeAk83s4BLyvhcJ1oK8nwCvAr9KszwiIiIiVVa6AdtxwCrn3PaY9KXB+7HxMplZBtAR+E+cyUuBNmZWL80yiYiIiFRJaXWJAs2ADXHSI2nNE+TbH6iVRN5PE63YzA4EGsckHwmwfPlycnNzE2Uttazvc8pt2bGWNG1aQStaUm6LVn2lpqLqq8LqCsq1viR5OhZTo2MxNaqv1K1duzbyZ82kMznnUn4Ba4CX46QfCjhgZIJ8BwfT/xxn2hXBtGNLWHd2MJ9eeumll1566aXX3vzqn2zslW4LWx6+pSxW7ajpifKRZt6IKcDTMWmZwOH4Cxd2lpB/b9AGeA44Bx8cS/FUX8lTXaVG9ZUa1VfyVFepqWr1VRPfiPV6shnSDdg2AAfFSW8WvK9PkG8zsCNqvlTyAuCc2whsjDOpyvS9mFnkzzXOuY8qsyx7A9VX8lRXqVF9pUb1lTzVVWqqaH39N5WZ073oYBlwuJllxaR3iZpehHMuH/gQOCHO5C7AWufc92mWSURERKRKSjdgmw1UA4ZGEsysFjAEWOKc+zJIa2lmR8bJe6KZnRCV9wigB0W7OkVERET2eWl1iTrnlpjZ08BtwVWbq4FBQCvgN1GzPoZ/ooFFpU0Bfgu8ZGZ3Aj/jn5jwDfD3dMojIiIiUpWlO4YN4NfALcDlQENgOdDXOfdGcZmcc9+bWXfgLmA0vpVvMfAH59ymUpSnKtkEjAvepWSqr+SprlKj+kqN6it5qqvU7PP1ZcGtMkREREQkpErz8HcRERERqQAK2ERERERCTgGbiIiISMgpYBMREREJOQVsUmHMLNvMdJWLlAszG2xmzsxaVXZZwiy2nsxssZktrtxSSVkxs2lmllvZ5UiXjuPEFLDtY8xsuJkNruxyiOxNzOyXZpZd2eUQkX2XArZ9z3BgcGUXQqQcTAfqAF+Uw7J/CYwth+WGwVnBS0RCrDQ3zhWRKsjM9nPO/VDZ5UiVc243sLuyy2Fm1YEM59zOyi5LMvaWcors69TClgIzO8TMppjZp2aWZ2bfmdnT8frazayBmd1lZjlmtsPM/mdmj5lZo6h5DjSzh8zsGzP7ycz+z8wGxSyne9Cf3z0mvVWQPjgqramZPRKsa4eZbTCz56LGquQA7YHTgryuvMaumFlXM3sv2K41ZjYszjxDzGyRmW0Myvuxmf0uznw5ZvZisMylwTLXmtmv48ybTL3XMrNxZrY6mOdLM7sjeB5uyuUrK2Z2kJk9HOwPO8zsIzO7Imp6ZF/4lZmNCrbtJzN71czaxlleFzObZ2bbzOxHM3vdzH4RM092sMyjzOwJM9sCvBVMywimrw/yvxbMl2Nm04J5Dg3y/yHO+k8Jpl1c1nUVjxUdm5XUfmNmNcxsrJl9FszznZm9ZWZnBtOnAf8v+Dty3Ljg/8hx+CczG2lma4AdwFGx5YlaX9xjurJY1Bg2M2tiZrvMrEhropkdEZR7RFRaAzO7OziGdgTH1PVmlhE1T3QdDTV/Pthh/vxwYpz1HGlms81sc/B5/MfM+pfT5hdhZvWCbYqcQzaa2UIzOz6YvtjMVphZJzN7x/x3wedmdlWcZSV1rgnmvczM3g+Wt9nMZprZwXHm62JmL5vZFjP7wcyWm9k1ceY7yMzmmFmumW0yszvNrFpZ1VPUegYEn+9pcaYNC6YdbWYdzY+vWxt8rl+bP98dkOR6epvZm8E2f29mL5lZ+5h5pgXbW+K2mz+/XWNmHwbl2WT+fHkCIaUWttScCJwCzAT+h3926u+AxWZ2lHPuRwAzywTeBNoBDwMfAI2A/kAL4Fszq4N/JFdb4B/A58CFwDQza+CcuyeN8j2DD8gmAznAgcCZQMvg/5HBtFzg1iDPN2msp1hm1gFYgH+ESDZ+PxsXZ12/Az4Cngd2Af2AKWaW4Zy7N2betsBs4CHgUeAKfF2975z7KFhvMvWeEayvKzAVWAl0AP4AHA6cm2b5SsXMmgDvAg6/P2wCegMPmVmWc+7uqNlvAPKBO4H6wJ+BGUCXqOX1AOYC7+PrPh8YAiwys27OuaUxRXga+Ay4iT3P/r0tWPYLwHzgmOC9diSTc26tmb0NXIp/3Fy0S4HvgedSq40yVeJ+g99HbwQeBJYCWcAJwPHAQuABoDn+WLo8wXqG4OtlKj5g21wO21LunHPfmNnrwK/w+020gfgWzKcBzKwu8DpwEL6O1uHPj7cBzfDnm2iXAPWCeR1+33rWzA51zv0cLLM98DbwFTAB+CEoyxwzu8A596+y3N4E7gcG4I/Dj4ED8OeLdvhzCvjHMb4MzAKeDMp4n5ntdM49HGxL0ucaMxuFf9TjLPx+2Bj4PfCGmR3nnNsazHcm8CKwAbgH+DooV9/g/4hq+GN1CfAn4Azgj8Aa4L7SVlCMl/DfKb/C7w/RBgIfOedWmNkfgUOBR4JytweGAu3N7CRXzGOXzOxy/PE7H7geqIs/P78V1E9O1OzJbvtD+OFBc/F1Xh3oBpwE/CelGqgozjm9knwBdeKknYQ/+VwelTYuSDsvzvyRx4FdE8xzadS0GsA7+C+5ekFa92C+7jHLaRWkDw7+bxD8/6cStmEFsLic6+lfQB7QMiqtHT7ocSXU5zxgTUxaTrBt3aLSGgM/AXemWO+X4b90usZMHxbkPSXV8pVRnT0IrAcOiEl/EtiKH5sV2Rc+BmpGzXN1kH50ZFuBVUFZLXp7gLXAgqi07CDvEzHrbQL8DPwrJn1sMP+0qLShQdqRMfvypuj5yvuFP/k6oFWK+80y4MUSlv2P6H03Kj1yHG4DGhdXnqj0yOfYPZntqoB6WkzUOSHq8zw6Jt9HwKtR/4/Gf1EfFjPfbfhj/eCYOvoWaBg1X/8gvW9U2iv451LXikozfBC3qoLqZyvwj2KmLw7KfW1UWk3gv/gfpTWCtKTONcAhQX3dFDPf0cExeFPwfzX88ZsDNIiZN/o4nxYs/+aYeT4A/lNOdfZEsO3VotKaBtt/c/B/vPPpRRQ9RmP3z0xgCzA1Jm+T4LOaGpWW1LYDpwfz3ROnTFbS9lbWS12iKXDO5UX+Nt+NcgCwGr/THB816wXA/7k4vwZdsEfgBzF/jf9Cjkz7GZiE30GLNC+XIA/YCXQ3s4Yp5i0zQbNzL2COc25dJN05txL/q4eotOj6rG++2/J14FAzqx+z6I+dc29G5d0EfIr/xRaRTL1fiP+l+4mZNYq8gEXB9NPTLF/azMyCsr8Q/Btdrvn4VrTo/esRV3jcUaReInVxLHAY/iR6QNSy9gNeBU61qC6rwP0x//fE/+KcEpM+Oc4mzMIHQZdGpfXCt24+Hmf+ipTMfrMV/yv/sFKs55lg2VXBs/gAYmAkwcyOBo4Cnoqa70L8vrclZp99BR9cnBqz3Kecc1ui/i+035rZ/kAP/P5UL2p5B+CPg8PM7KAy2sbibAW6mFnzYubZhW8pBArGAT6A79XoFCQne645Hz88aVbMfF/jW70j8x0HtAbudkGLW9T647VOxR7Tb1J4vy9LT+G3vXtU2gD8dj0FRc6ntYNtfDdIij6/xToT3yDxZEz97Ma3op0eJ09J234BPmCLbUVOVJehoC7RFATdmDfiuz8OYk/XEfgv1Yg2+O7J4hwCfOacy49JXxk1PWnOuR1mdj3wd+AbM3sX33T+mHPu61SWVUqN8S05n8WZ9ik+UAXA/HiqccDJ+CbuaPXxrRYR6yhqC75rIiKZej8M39qX6Mv1wDTLVxqN8SekocErUbkiX3axdRFJj9RFJPB4tJh11o/KB75LPlpk/1sdneic22x+nFt02lYzewHf5XVzkHwpvltrEZUrmf1mDL7bdpWZrcC3TE53zi1PYT2x9bfXcs59a2av4ru4Ip/nQHyQ8mzUrIcBHUniWAoU+iycc1v8b5WCz6It/px6S/BKtMyvSt6KUvkz/tj50szex3d9PuacWxs1z3pX9MKcVcF7K3wgkuy55jD8dsc7Z4JvZQN/fgPfS1KSn+L8gIjd78vSPPz5cCD+RyHB38ucc6ugICAfi29Vi903ivsBHDmfJTqXbI/5P5ltb4P/DPeqoQsK2FIzGR+s3Q38G7+DOvyYtvJqrUwU7RcZPOqcuzv44jwX38JxC3CjmfVwzv23nMqXFjNrgz+wPwGuBb7EtxD+Ej/GI7Y+E139ZwnSE8kAPgzWGc+XaZavNCLLepzEQdZyfAsHlFwXkeVdh+/uiyf2xpp5cedK3mPAhWZ2Cr5++wNT4vwgqWgl7jfOuTeCz/sc/O0trgT+YGZXOeceTHI98eov6WM3hGYCj5jZsc65Zfjg7VXn3LdR82Tgx/jdkWAZq2L+T3a/vZOY1vgoqxOklxnn3CwzexM4D78/XAdcb2bnO+fmprCopM41wXwOP2Y1Xh2lcxPcCr1aOmgwmAOcZ2bD8d2Vv8CPiY2YhR/j+Df8eSkXv+3zKP58Gpl2Ob7VMdaumP8r/Urx8qKALTUDgEedc3+MJJhZbXzrSLQ1+PEHxfkC6BgMYI/+UjsyajrsaQWJXUfcFjjn3Bp8K9vfgy6eZfgBl5dFZimhXKW1Cf/lFa976Yiov/sBtYD+0V2nZhaveTtZydT7Gvzg+VdLaPouj/Ilsgk/brGac+6VRDOZ2VGJpsVYE7xvL255JYjsf22Jaj0KhgHE+5U+D78dl+K7Keri74u2Vwh+aT+CD1IygTfw4/siAVs6x01Kx27IzMF38Q0MWsEOx49Ni7YGyCzFPhYr0oL1cxkuMy3OuQ344QBTzOxA/BioUfgB6gDNrejtbw4P3nOC92TPNWvwQevnkdaoYuYDf46r1PpJ4ClgEH44RTv8Nj0FEAzT6QmMdc6Nj2RIchhCZLs3luF+sQboZWb7702tbBrDlprdFG3R+T1FfzE/AxxjZufFLiAYrwS+mb0phceJVA+Wl8ueq22+CNYbOx5keMxy6wbBY7Q1+EAg+hLyHyj6BVJmnL8X1nzgXDNrGVW+dvhWv4jIryCLmqc+vgUzXcnU+yx8d/Zv48xTx8z2K8fyxRXU2TPABcFYodhyNU5xke/jP/s/BcFHOst7Ff/LNfY2JiPizItzbhd7rpYbDHyYYpdipbGY2wo453LxLTmxxw1m1iCFRUe+aAqO3WCMZ6Ju79AIxkjNx3+eF+Fbl+fEzDYLONnMesWkR273kVKDgHNuI35A/zAzaxZnmakeBykzs2qx41ODcq2n8P5QHX/xQCRfzeD/TfjjD5I/1zyLP9+MjTpPReazqP3zA/yPp5Gx+2FsvkryCv7q6IHBa6lzLvJjr8j5NDAyieXOx3d73mRmNWInprlfPBOUZWyc5YWhLuNSC1tqXgQuN7Nt+Cv1TsZfMvxdzHx/w7fGPW1mD+MP4P3x3URXAf+Hv8x7GP4WA53wv8oG4JuRRzrnvgdwzm0zs6eB35u/99Ma/CXcsWMADgdeNbNZQdl24Zv0m+C7NyLeB35nZqPxX0obnXNlPc5oLHA28KaZTcHvZ7/HX2XWMZhnAf5L4AUzewB/ocVvgY34WwKkI5l6n47/Ero/aC17Gx9wHxmk98Jf0l0e5SvODfjBs0vM7J/4z3B//GDcM4K/k+KcyzezK/GtAR+Z2SP4cT8HBevYjm9BLG4Z35jZPcAfzex5fAvaMfhum2+J3+L0GP6K1dPxl97vLT42fx+y9/FfOCew57YOEZEv4UlmNh/Y7ZybSTGccx8FY0lvC8bvbMYHP3vLefcpfDf9cGB+7EB3/PHWH3jR/L3q3sdf2NIBX3+t8PtKKv4f/j6AHwbHwVr8Oexk/K15jkljO1JRD/ifmc3Gny9y8cffifieioj1+G7SVviu34H4i32GBhePQZLnGufcmuB8fBvQKuha/B5/gcF5+O+KO4Pj+nf4i5OWBcf1hmB57Sn8g7jCOed+NrNn8fv4fvhbakSmbTezN4A/B0HXV/ju5tZJLHd7sN3TgQ/MbCY+MG4J9MHXa9wfksUs8zUzmw5cHbTyRbpluwGvUfjYD4/KvER1b3vhW6YeZk8X1jx8N18OMbcvwH/BTsbfr20HfrzCNKJu24APuiLL24EfpzQ4znob4e8l9QP+pH8//gB17LmtxwH4nWwl/iSzFT/w9cKYZTXBB57bg/yLy6muTsUHPjvwQeYwgltIRM3TD39SzMP/cvwzvgWr0K0QgvotctsFYm5HkEK91wjWtQJ/dePmoKxjgKxUy1eGdXZg8BmuwweLG/C/Wn8bTO8erHtATL5W0ftCVPqx+F+S3wbbmYP/Eu4RNU92kLdRnPJUA8YH5fgR3+p2ZLC8+xJswwr8r+mDKuH4HBz92SS73+C7upbguzB/xB9DNxHcniGqLibhA/b8yH4cVfdxb6eDvzJtYVD/X+Pvf3gGIb6tR9R89YL6cETdfihmnkzgr/gB8zvw57K38cFN5PYWCesoSM+OU2ePBvvdTvyx/AJwQQXUTU38mLxl+HNkbvD372L2nxX4q0HfwZ8fcoD/F2d5SZ1rgnnPx1/NmBu8VuLPB4fHzPcL/A/KSPn+DxgRNX0akBunLNlEnX/Lqf4i+3Y+0CJm2kH41sQt+O+nWfgfv4X2gdj9Myq9O/47d2tQ56vxwxg6pbPt+GP6T0E978Af2y8Dx1fUsZjqK3JvKhGREgVdMVuA0c65W+NM/y+w2TnXs6LLJlIRgtbYRs65ksbLipQpjWETkbiC29jEGhm8L44z/wn4Vr3Hyq1QIiL7qL1lLIWIVLyB5p9V+zK+66UrcDH+SQlvR2YKLpTohO8G20Dhm6uKiEgZUMAmIoksx1+88mf88zW/wT+vcHTMfAPwY3I+BS52zv1UkYUUEdkXaAybiIiISMhpDJuIiIhIyClgExEREQk5BWwiIiIiIaeATURERCTkFLCJiIiIhJwCNhEREZGQU8AmIiIiEnIK2ERERERCTgGbiIiISMgpYBMREREJOQVsIiIiIiH3/wGrX32i7H5kJAAAAABJRU5ErkJggg==\n"
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 720x480 with 1 Axes>"
+      ]
      },
      "metadata": {
       "needs_background": "light"
-     }
+     },
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -172,19 +304,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": "<Figure size 720x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<!-- Created with matplotlib (https://matplotlib.org/) -->\n<svg height=\"288.512187pt\" version=\"1.1\" viewBox=\"0 0 372.103125 288.512187\" width=\"372.103125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-02-04T10:17:33.466683</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.3.4, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 288.512187 \nL 372.103125 288.512187 \nL 372.103125 0 \nL 0 0 \nz\n\" style=\"fill:none;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 239.758125 \nL 364.903125 239.758125 \nL 364.903125 22.318125 \nL 30.103125 22.318125 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <path clip-path=\"url(#pf212fda5a1)\" d=\"M 56.887125 239.758125 \nL 56.887125 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_2\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"md97b15677e\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"56.887125\" xlink:href=\"#md97b15677e\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- Jan -->\n      <g transform=\"translate(49.179312 254.356562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 9.8125 72.90625 \nL 19.671875 72.90625 \nL 19.671875 5.078125 \nQ 19.671875 -8.109375 14.671875 -14.0625 \nQ 9.671875 -20.015625 -1.421875 -20.015625 \nL -5.171875 -20.015625 \nL -5.171875 -11.71875 \nL -2.09375 -11.71875 \nQ 4.4375 -11.71875 7.125 -8.046875 \nQ 9.8125 -4.390625 9.8125 5.078125 \nz\n\" id=\"DejaVuSans-74\"/>\n        <path d=\"M 34.28125 27.484375 \nQ 23.390625 27.484375 19.1875 25 \nQ 14.984375 22.515625 14.984375 16.5 \nQ 14.984375 11.71875 18.140625 8.90625 \nQ 21.296875 6.109375 26.703125 6.109375 \nQ 34.1875 6.109375 38.703125 11.40625 \nQ 43.21875 16.703125 43.21875 25.484375 \nL 43.21875 27.484375 \nz\nM 52.203125 31.203125 \nL 52.203125 0 \nL 43.21875 0 \nL 43.21875 8.296875 \nQ 40.140625 3.328125 35.546875 0.953125 \nQ 30.953125 -1.421875 24.3125 -1.421875 \nQ 15.921875 -1.421875 10.953125 3.296875 \nQ 6 8.015625 6 15.921875 \nQ 6 25.140625 12.171875 29.828125 \nQ 18.359375 34.515625 30.609375 34.515625 \nL 43.21875 34.515625 \nL 43.21875 35.40625 \nQ 43.21875 41.609375 39.140625 45 \nQ 35.0625 48.390625 27.6875 48.390625 \nQ 23 48.390625 18.546875 47.265625 \nQ 14.109375 46.140625 10.015625 43.890625 \nL 10.015625 52.203125 \nQ 14.9375 54.109375 19.578125 55.046875 \nQ 24.21875 56 28.609375 56 \nQ 40.484375 56 46.34375 49.84375 \nQ 52.203125 43.703125 52.203125 31.203125 \nz\n\" id=\"DejaVuSans-97\"/>\n        <path d=\"M 54.890625 33.015625 \nL 54.890625 0 \nL 45.90625 0 \nL 45.90625 32.71875 \nQ 45.90625 40.484375 42.875 44.328125 \nQ 39.84375 48.1875 33.796875 48.1875 \nQ 26.515625 48.1875 22.3125 43.546875 \nQ 18.109375 38.921875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 21.34375 51.125 25.703125 53.5625 \nQ 30.078125 56 35.796875 56 \nQ 45.21875 56 50.046875 50.171875 \nQ 54.890625 44.34375 54.890625 33.015625 \nz\n\" id=\"DejaVuSans-110\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-74\"/>\n       <use x=\"29.492188\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"90.771484\" xlink:href=\"#DejaVuSans-110\"/>\n      </g>\n      <!-- 2019 -->\n      <g transform=\"translate(44.162125 265.554375)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 19.1875 8.296875 \nL 53.609375 8.296875 \nL 53.609375 0 \nL 7.328125 0 \nL 7.328125 8.296875 \nQ 12.9375 14.109375 22.625 23.890625 \nQ 32.328125 33.6875 34.8125 36.53125 \nQ 39.546875 41.84375 41.421875 45.53125 \nQ 43.3125 49.21875 43.3125 52.78125 \nQ 43.3125 58.59375 39.234375 62.25 \nQ 35.15625 65.921875 28.609375 65.921875 \nQ 23.96875 65.921875 18.8125 64.3125 \nQ 13.671875 62.703125 7.8125 59.421875 \nL 7.8125 69.390625 \nQ 13.765625 71.78125 18.9375 73 \nQ 24.125 74.21875 28.421875 74.21875 \nQ 39.75 74.21875 46.484375 68.546875 \nQ 53.21875 62.890625 53.21875 53.421875 \nQ 53.21875 48.921875 51.53125 44.890625 \nQ 49.859375 40.875 45.40625 35.40625 \nQ 44.1875 33.984375 37.640625 27.21875 \nQ 31.109375 20.453125 19.1875 8.296875 \nz\n\" id=\"DejaVuSans-50\"/>\n        <path d=\"M 31.78125 66.40625 \nQ 24.171875 66.40625 20.328125 58.90625 \nQ 16.5 51.421875 16.5 36.375 \nQ 16.5 21.390625 20.328125 13.890625 \nQ 24.171875 6.390625 31.78125 6.390625 \nQ 39.453125 6.390625 43.28125 13.890625 \nQ 47.125 21.390625 47.125 36.375 \nQ 47.125 51.421875 43.28125 58.90625 \nQ 39.453125 66.40625 31.78125 66.40625 \nz\nM 31.78125 74.21875 \nQ 44.046875 74.21875 50.515625 64.515625 \nQ 56.984375 54.828125 56.984375 36.375 \nQ 56.984375 17.96875 50.515625 8.265625 \nQ 44.046875 -1.421875 31.78125 -1.421875 \nQ 19.53125 -1.421875 13.0625 8.265625 \nQ 6.59375 17.96875 6.59375 36.375 \nQ 6.59375 54.828125 13.0625 64.515625 \nQ 19.53125 74.21875 31.78125 74.21875 \nz\n\" id=\"DejaVuSans-48\"/>\n        <path d=\"M 12.40625 8.296875 \nL 28.515625 8.296875 \nL 28.515625 63.921875 \nL 10.984375 60.40625 \nL 10.984375 69.390625 \nL 28.421875 72.90625 \nL 38.28125 72.90625 \nL 38.28125 8.296875 \nL 54.390625 8.296875 \nL 54.390625 0 \nL 12.40625 0 \nz\n\" id=\"DejaVuSans-49\"/>\n        <path d=\"M 10.984375 1.515625 \nL 10.984375 10.5 \nQ 14.703125 8.734375 18.5 7.8125 \nQ 22.3125 6.890625 25.984375 6.890625 \nQ 35.75 6.890625 40.890625 13.453125 \nQ 46.046875 20.015625 46.78125 33.40625 \nQ 43.953125 29.203125 39.59375 26.953125 \nQ 35.25 24.703125 29.984375 24.703125 \nQ 19.046875 24.703125 12.671875 31.3125 \nQ 6.296875 37.9375 6.296875 49.421875 \nQ 6.296875 60.640625 12.9375 67.421875 \nQ 19.578125 74.21875 30.609375 74.21875 \nQ 43.265625 74.21875 49.921875 64.515625 \nQ 56.59375 54.828125 56.59375 36.375 \nQ 56.59375 19.140625 48.40625 8.859375 \nQ 40.234375 -1.421875 26.421875 -1.421875 \nQ 22.703125 -1.421875 18.890625 -0.6875 \nQ 15.09375 0.046875 10.984375 1.515625 \nz\nM 30.609375 32.421875 \nQ 37.25 32.421875 41.125 36.953125 \nQ 45.015625 41.5 45.015625 49.421875 \nQ 45.015625 57.28125 41.125 61.84375 \nQ 37.25 66.40625 30.609375 66.40625 \nQ 23.96875 66.40625 20.09375 61.84375 \nQ 16.21875 57.28125 16.21875 49.421875 \nQ 16.21875 41.5 20.09375 36.953125 \nQ 23.96875 32.421875 30.609375 32.421875 \nz\n\" id=\"DejaVuSans-57\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-50\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-57\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_3\">\n      <path clip-path=\"url(#pf212fda5a1)\" d=\"M 217.591125 239.758125 \nL 217.591125 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"217.591125\" xlink:href=\"#md97b15677e\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- Jan -->\n      <g transform=\"translate(209.883312 254.356562)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-74\"/>\n       <use x=\"29.492188\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"90.771484\" xlink:href=\"#DejaVuSans-110\"/>\n      </g>\n      <!-- 2020 -->\n      <g transform=\"translate(204.866125 265.554375)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-50\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-50\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_5\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 2 \n\" id=\"m2cb8cf2b33\" style=\"stroke:#000000;stroke-width:0.6;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"30.103125\" xlink:href=\"#m2cb8cf2b33\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"43.495125\" xlink:href=\"#m2cb8cf2b33\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"70.279125\" xlink:href=\"#m2cb8cf2b33\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"83.671125\" xlink:href=\"#m2cb8cf2b33\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"97.063125\" xlink:href=\"#m2cb8cf2b33\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- Apr -->\n      <g transform=\"translate(88.413125 252.756562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 34.1875 63.1875 \nL 20.796875 26.90625 \nL 47.609375 26.90625 \nz\nM 28.609375 72.90625 \nL 39.796875 72.90625 \nL 67.578125 0 \nL 57.328125 0 \nL 50.6875 18.703125 \nL 17.828125 18.703125 \nL 11.1875 0 \nL 0.78125 0 \nz\n\" id=\"DejaVuSans-65\"/>\n        <path d=\"M 18.109375 8.203125 \nL 18.109375 -20.796875 \nL 9.078125 -20.796875 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.390625 \nQ 20.953125 51.265625 25.265625 53.625 \nQ 29.59375 56 35.59375 56 \nQ 45.5625 56 51.78125 48.09375 \nQ 58.015625 40.1875 58.015625 27.296875 \nQ 58.015625 14.40625 51.78125 6.484375 \nQ 45.5625 -1.421875 35.59375 -1.421875 \nQ 29.59375 -1.421875 25.265625 0.953125 \nQ 20.953125 3.328125 18.109375 8.203125 \nz\nM 48.6875 27.296875 \nQ 48.6875 37.203125 44.609375 42.84375 \nQ 40.53125 48.484375 33.40625 48.484375 \nQ 26.265625 48.484375 22.1875 42.84375 \nQ 18.109375 37.203125 18.109375 27.296875 \nQ 18.109375 17.390625 22.1875 11.75 \nQ 26.265625 6.109375 33.40625 6.109375 \nQ 40.53125 6.109375 44.609375 11.75 \nQ 48.6875 17.390625 48.6875 27.296875 \nz\n\" id=\"DejaVuSans-112\"/>\n        <path d=\"M 41.109375 46.296875 \nQ 39.59375 47.171875 37.8125 47.578125 \nQ 36.03125 48 33.890625 48 \nQ 26.265625 48 22.1875 43.046875 \nQ 18.109375 38.09375 18.109375 28.8125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 20.953125 51.171875 25.484375 53.578125 \nQ 30.03125 56 36.53125 56 \nQ 37.453125 56 38.578125 55.875 \nQ 39.703125 55.765625 41.0625 55.515625 \nz\n\" id=\"DejaVuSans-114\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"68.408203\" xlink:href=\"#DejaVuSans-112\"/>\n       <use x=\"131.884766\" xlink:href=\"#DejaVuSans-114\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"110.455125\" xlink:href=\"#m2cb8cf2b33\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"123.847125\" xlink:href=\"#m2cb8cf2b33\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_10\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"137.239125\" xlink:href=\"#m2cb8cf2b33\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- Jul -->\n      <g transform=\"translate(131.206312 252.756562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 8.5 21.578125 \nL 8.5 54.6875 \nL 17.484375 54.6875 \nL 17.484375 21.921875 \nQ 17.484375 14.15625 20.5 10.265625 \nQ 23.53125 6.390625 29.59375 6.390625 \nQ 36.859375 6.390625 41.078125 11.03125 \nQ 45.3125 15.671875 45.3125 23.6875 \nL 45.3125 54.6875 \nL 54.296875 54.6875 \nL 54.296875 0 \nL 45.3125 0 \nL 45.3125 8.40625 \nQ 42.046875 3.421875 37.71875 1 \nQ 33.40625 -1.421875 27.6875 -1.421875 \nQ 18.265625 -1.421875 13.375 4.4375 \nQ 8.5 10.296875 8.5 21.578125 \nz\nM 31.109375 56 \nz\n\" id=\"DejaVuSans-117\"/>\n        <path d=\"M 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 0 \nL 9.421875 0 \nz\n\" id=\"DejaVuSans-108\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-74\"/>\n       <use x=\"29.492188\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"92.871094\" xlink:href=\"#DejaVuSans-108\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_11\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"150.631125\" xlink:href=\"#m2cb8cf2b33\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_12\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"164.023125\" xlink:href=\"#m2cb8cf2b33\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_13\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"177.415125\" xlink:href=\"#m2cb8cf2b33\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- Oct -->\n      <g transform=\"translate(168.769812 252.756562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 39.40625 66.21875 \nQ 28.65625 66.21875 22.328125 58.203125 \nQ 16.015625 50.203125 16.015625 36.375 \nQ 16.015625 22.609375 22.328125 14.59375 \nQ 28.65625 6.59375 39.40625 6.59375 \nQ 50.140625 6.59375 56.421875 14.59375 \nQ 62.703125 22.609375 62.703125 36.375 \nQ 62.703125 50.203125 56.421875 58.203125 \nQ 50.140625 66.21875 39.40625 66.21875 \nz\nM 39.40625 74.21875 \nQ 54.734375 74.21875 63.90625 63.9375 \nQ 73.09375 53.65625 73.09375 36.375 \nQ 73.09375 19.140625 63.90625 8.859375 \nQ 54.734375 -1.421875 39.40625 -1.421875 \nQ 24.03125 -1.421875 14.8125 8.828125 \nQ 5.609375 19.09375 5.609375 36.375 \nQ 5.609375 53.65625 14.8125 63.9375 \nQ 24.03125 74.21875 39.40625 74.21875 \nz\n\" id=\"DejaVuSans-79\"/>\n        <path d=\"M 48.78125 52.59375 \nL 48.78125 44.1875 \nQ 44.96875 46.296875 41.140625 47.34375 \nQ 37.3125 48.390625 33.40625 48.390625 \nQ 24.65625 48.390625 19.8125 42.84375 \nQ 14.984375 37.3125 14.984375 27.296875 \nQ 14.984375 17.28125 19.8125 11.734375 \nQ 24.65625 6.203125 33.40625 6.203125 \nQ 37.3125 6.203125 41.140625 7.25 \nQ 44.96875 8.296875 48.78125 10.40625 \nL 48.78125 2.09375 \nQ 45.015625 0.34375 40.984375 -0.53125 \nQ 36.96875 -1.421875 32.421875 -1.421875 \nQ 20.0625 -1.421875 12.78125 6.34375 \nQ 5.515625 14.109375 5.515625 27.296875 \nQ 5.515625 40.671875 12.859375 48.328125 \nQ 20.21875 56 33.015625 56 \nQ 37.15625 56 41.109375 55.140625 \nQ 45.0625 54.296875 48.78125 52.59375 \nz\n\" id=\"DejaVuSans-99\"/>\n        <path d=\"M 18.3125 70.21875 \nL 18.3125 54.6875 \nL 36.8125 54.6875 \nL 36.8125 47.703125 \nL 18.3125 47.703125 \nL 18.3125 18.015625 \nQ 18.3125 11.328125 20.140625 9.421875 \nQ 21.96875 7.515625 27.59375 7.515625 \nL 36.8125 7.515625 \nL 36.8125 0 \nL 27.59375 0 \nQ 17.1875 0 13.234375 3.875 \nQ 9.28125 7.765625 9.28125 18.015625 \nL 9.28125 47.703125 \nL 2.6875 47.703125 \nL 2.6875 54.6875 \nL 9.28125 54.6875 \nL 9.28125 70.21875 \nz\n\" id=\"DejaVuSans-116\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-79\"/>\n       <use x=\"78.710938\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"133.691406\" xlink:href=\"#DejaVuSans-116\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_14\">\n     <g id=\"line2d_16\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"190.807125\" xlink:href=\"#m2cb8cf2b33\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_15\">\n     <g id=\"line2d_17\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"204.199125\" xlink:href=\"#m2cb8cf2b33\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_16\">\n     <g id=\"line2d_18\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"230.983125\" xlink:href=\"#m2cb8cf2b33\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_17\">\n     <g id=\"line2d_19\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"244.375125\" xlink:href=\"#m2cb8cf2b33\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_18\">\n     <g id=\"line2d_20\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"257.767125\" xlink:href=\"#m2cb8cf2b33\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- Apr -->\n      <g transform=\"translate(249.117125 252.756562)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"68.408203\" xlink:href=\"#DejaVuSans-112\"/>\n       <use x=\"131.884766\" xlink:href=\"#DejaVuSans-114\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_19\">\n     <g id=\"line2d_21\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"271.159125\" xlink:href=\"#m2cb8cf2b33\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_20\">\n     <g id=\"line2d_22\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"284.551125\" xlink:href=\"#m2cb8cf2b33\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_21\">\n     <g id=\"line2d_23\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"297.943125\" xlink:href=\"#m2cb8cf2b33\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- Jul -->\n      <g transform=\"translate(291.910312 252.756562)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-74\"/>\n       <use x=\"29.492188\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"92.871094\" xlink:href=\"#DejaVuSans-108\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_22\">\n     <g id=\"line2d_24\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"311.335125\" xlink:href=\"#m2cb8cf2b33\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_23\">\n     <g id=\"line2d_25\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"324.727125\" xlink:href=\"#m2cb8cf2b33\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_24\">\n     <g id=\"line2d_26\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"338.119125\" xlink:href=\"#m2cb8cf2b33\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- Oct -->\n      <g transform=\"translate(329.473812 252.756562)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-79\"/>\n       <use x=\"78.710938\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"133.691406\" xlink:href=\"#DejaVuSans-116\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_25\">\n     <g id=\"line2d_27\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"351.511125\" xlink:href=\"#m2cb8cf2b33\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_26\">\n     <g id=\"line2d_28\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.6;\" x=\"364.903125\" xlink:href=\"#m2cb8cf2b33\" y=\"239.758125\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_9\">\n     <!-- time -->\n     <g transform=\"translate(186.207031 279.2325)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 9.421875 54.6875 \nL 18.40625 54.6875 \nL 18.40625 0 \nL 9.421875 0 \nz\nM 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 64.59375 \nL 9.421875 64.59375 \nz\n\" id=\"DejaVuSans-105\"/>\n       <path d=\"M 52 44.1875 \nQ 55.375 50.25 60.0625 53.125 \nQ 64.75 56 71.09375 56 \nQ 79.640625 56 84.28125 50.015625 \nQ 88.921875 44.046875 88.921875 33.015625 \nL 88.921875 0 \nL 79.890625 0 \nL 79.890625 32.71875 \nQ 79.890625 40.578125 77.09375 44.375 \nQ 74.3125 48.1875 68.609375 48.1875 \nQ 61.625 48.1875 57.5625 43.546875 \nQ 53.515625 38.921875 53.515625 30.90625 \nL 53.515625 0 \nL 44.484375 0 \nL 44.484375 32.71875 \nQ 44.484375 40.625 41.703125 44.40625 \nQ 38.921875 48.1875 33.109375 48.1875 \nQ 26.21875 48.1875 22.15625 43.53125 \nQ 18.109375 38.875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 21.1875 51.21875 25.484375 53.609375 \nQ 29.78125 56 35.6875 56 \nQ 41.65625 56 45.828125 52.96875 \nQ 50 49.953125 52 44.1875 \nz\n\" id=\"DejaVuSans-109\"/>\n       <path d=\"M 56.203125 29.59375 \nL 56.203125 25.203125 \nL 14.890625 25.203125 \nQ 15.484375 15.921875 20.484375 11.0625 \nQ 25.484375 6.203125 34.421875 6.203125 \nQ 39.59375 6.203125 44.453125 7.46875 \nQ 49.3125 8.734375 54.109375 11.28125 \nL 54.109375 2.78125 \nQ 49.265625 0.734375 44.1875 -0.34375 \nQ 39.109375 -1.421875 33.890625 -1.421875 \nQ 20.796875 -1.421875 13.15625 6.1875 \nQ 5.515625 13.8125 5.515625 26.8125 \nQ 5.515625 40.234375 12.765625 48.109375 \nQ 20.015625 56 32.328125 56 \nQ 43.359375 56 49.78125 48.890625 \nQ 56.203125 41.796875 56.203125 29.59375 \nz\nM 47.21875 32.234375 \nQ 47.125 39.59375 43.09375 43.984375 \nQ 39.0625 48.390625 32.421875 48.390625 \nQ 24.90625 48.390625 20.390625 44.140625 \nQ 15.875 39.890625 15.1875 32.171875 \nz\n\" id=\"DejaVuSans-101\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-116\"/>\n      <use x=\"39.208984\" xlink:href=\"#DejaVuSans-105\"/>\n      <use x=\"66.992188\" xlink:href=\"#DejaVuSans-109\"/>\n      <use x=\"164.404297\" xlink:href=\"#DejaVuSans-101\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_29\">\n      <path clip-path=\"url(#pf212fda5a1)\" d=\"M 30.103125 239.758125 \nL 364.903125 239.758125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_30\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m05b951ad34\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m05b951ad34\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 243.557344)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 10.6875 12.40625 \nL 21 12.40625 \nL 21 0 \nL 10.6875 0 \nz\n\" id=\"DejaVuSans-46\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-48\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_31\">\n      <path clip-path=\"url(#pf212fda5a1)\" d=\"M 30.103125 196.270125 \nL 364.903125 196.270125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_32\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m05b951ad34\" y=\"196.270125\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 200.069344)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-48\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-50\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_33\">\n      <path clip-path=\"url(#pf212fda5a1)\" d=\"M 30.103125 152.782125 \nL 364.903125 152.782125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_34\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m05b951ad34\" y=\"152.782125\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 156.581344)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 37.796875 64.3125 \nL 12.890625 25.390625 \nL 37.796875 25.390625 \nz\nM 35.203125 72.90625 \nL 47.609375 72.90625 \nL 47.609375 25.390625 \nL 58.015625 25.390625 \nL 58.015625 17.1875 \nL 47.609375 17.1875 \nL 47.609375 0 \nL 37.796875 0 \nL 37.796875 17.1875 \nL 4.890625 17.1875 \nL 4.890625 26.703125 \nz\n\" id=\"DejaVuSans-52\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-48\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-52\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_35\">\n      <path clip-path=\"url(#pf212fda5a1)\" d=\"M 30.103125 109.294125 \nL 364.903125 109.294125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_36\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m05b951ad34\" y=\"109.294125\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 113.093344)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 33.015625 40.375 \nQ 26.375 40.375 22.484375 35.828125 \nQ 18.609375 31.296875 18.609375 23.390625 \nQ 18.609375 15.53125 22.484375 10.953125 \nQ 26.375 6.390625 33.015625 6.390625 \nQ 39.65625 6.390625 43.53125 10.953125 \nQ 47.40625 15.53125 47.40625 23.390625 \nQ 47.40625 31.296875 43.53125 35.828125 \nQ 39.65625 40.375 33.015625 40.375 \nz\nM 52.59375 71.296875 \nL 52.59375 62.3125 \nQ 48.875 64.0625 45.09375 64.984375 \nQ 41.3125 65.921875 37.59375 65.921875 \nQ 27.828125 65.921875 22.671875 59.328125 \nQ 17.53125 52.734375 16.796875 39.40625 \nQ 19.671875 43.65625 24.015625 45.921875 \nQ 28.375 48.1875 33.59375 48.1875 \nQ 44.578125 48.1875 50.953125 41.515625 \nQ 57.328125 34.859375 57.328125 23.390625 \nQ 57.328125 12.15625 50.6875 5.359375 \nQ 44.046875 -1.421875 33.015625 -1.421875 \nQ 20.359375 -1.421875 13.671875 8.265625 \nQ 6.984375 17.96875 6.984375 36.375 \nQ 6.984375 53.65625 15.1875 63.9375 \nQ 23.390625 74.21875 37.203125 74.21875 \nQ 40.921875 74.21875 44.703125 73.484375 \nQ 48.484375 72.75 52.59375 71.296875 \nz\n\" id=\"DejaVuSans-54\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-48\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-54\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_37\">\n      <path clip-path=\"url(#pf212fda5a1)\" d=\"M 30.103125 65.806125 \nL 364.903125 65.806125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_38\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m05b951ad34\" y=\"65.806125\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 69.605344)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 31.78125 34.625 \nQ 24.75 34.625 20.71875 30.859375 \nQ 16.703125 27.09375 16.703125 20.515625 \nQ 16.703125 13.921875 20.71875 10.15625 \nQ 24.75 6.390625 31.78125 6.390625 \nQ 38.8125 6.390625 42.859375 10.171875 \nQ 46.921875 13.96875 46.921875 20.515625 \nQ 46.921875 27.09375 42.890625 30.859375 \nQ 38.875 34.625 31.78125 34.625 \nz\nM 21.921875 38.8125 \nQ 15.578125 40.375 12.03125 44.71875 \nQ 8.5 49.078125 8.5 55.328125 \nQ 8.5 64.0625 14.71875 69.140625 \nQ 20.953125 74.21875 31.78125 74.21875 \nQ 42.671875 74.21875 48.875 69.140625 \nQ 55.078125 64.0625 55.078125 55.328125 \nQ 55.078125 49.078125 51.53125 44.71875 \nQ 48 40.375 41.703125 38.8125 \nQ 48.828125 37.15625 52.796875 32.3125 \nQ 56.78125 27.484375 56.78125 20.515625 \nQ 56.78125 9.90625 50.3125 4.234375 \nQ 43.84375 -1.421875 31.78125 -1.421875 \nQ 19.734375 -1.421875 13.25 4.234375 \nQ 6.78125 9.90625 6.78125 20.515625 \nQ 6.78125 27.484375 10.78125 32.3125 \nQ 14.796875 37.15625 21.921875 38.8125 \nz\nM 18.3125 54.390625 \nQ 18.3125 48.734375 21.84375 45.5625 \nQ 25.390625 42.390625 31.78125 42.390625 \nQ 38.140625 42.390625 41.71875 45.5625 \nQ 45.3125 48.734375 45.3125 54.390625 \nQ 45.3125 60.0625 41.71875 63.234375 \nQ 38.140625 66.40625 31.78125 66.40625 \nQ 25.390625 66.40625 21.84375 63.234375 \nQ 18.3125 60.0625 18.3125 54.390625 \nz\n\" id=\"DejaVuSans-56\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-48\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-56\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_39\">\n      <path clip-path=\"url(#pf212fda5a1)\" d=\"M 30.103125 22.318125 \nL 364.903125 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_40\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m05b951ad34\" y=\"22.318125\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 1.0 -->\n      <g transform=\"translate(7.2 26.117344)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_41\">\n    <path clip-path=\"url(#pf212fda5a1)\" d=\"M 30.103125 137.561325 \nM 56.887125 213.347576 \nL 70.279125 206.338563 \nL 83.671125 220.919531 \nL 97.063125 219.31066 \nL 110.455125 206.019178 \nL 123.847125 203.578042 \nL 137.239125 202.929309 \nL 150.631125 218.733851 \nL 164.023125 201.118071 \nL 177.415125 196.171091 \nL 190.807125 197.958063 \nL 204.199125 218.727872 \nL 217.591125 239.308024 \nL 230.983125 206.054925 \nL 244.375125 202.270925 \nL 257.767125 193.182477 \nM 284.551125 208.446765 \nL 297.943125 217.970637 \nL 311.335125 215.56412 \nM 364.903125 206.054925 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:3;\"/>\n   </g>\n   <g id=\"line2d_42\">\n    <path clip-path=\"url(#pf212fda5a1)\" d=\"M 30.103125 102.118605 \nM 56.887125 80.431826 \nL 70.279125 80.865858 \nL 83.671125 84.587505 \nL 97.063125 77.36998 \nL 110.455125 86.923898 \nL 123.847125 86.015965 \nL 137.239125 85.844057 \nL 150.631125 73.054125 \nL 164.023125 78.006925 \nL 177.415125 73.515361 \nL 190.807125 89.664125 \nL 204.199125 79.613565 \nL 217.591125 57.978285 \nL 230.983125 75.373485 \nL 244.375125 86.354205 \nL 257.767125 87.223965 \nM 284.551125 80.592045 \nL 297.943125 90.050685 \nL 311.335125 73.633965 \nM 364.903125 75.373485 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:3;\"/>\n   </g>\n   <g id=\"line2d_43\">\n    <path clip-path=\"url(#pf212fda5a1)\" d=\"M 30.103125 129.733485 \nM 56.887125 86.462925 \nL 70.279125 86.970285 \nL 83.671125 77.561475 \nL 97.063125 82.549005 \nL 110.455125 89.185274 \nL 123.847125 93.263965 \nL 137.239125 81.896685 \nL 150.631125 89.144685 \nL 164.023125 79.408205 \nL 177.415125 81.600176 \nL 190.807125 87.646765 \nL 204.199125 88.474245 \nL 217.591125 113.860365 \nL 230.983125 51.237645 \nL 244.375125 96.329265 \nL 257.767125 94.834365 \nM 284.551125 76.786845 \nL 297.943125 60.805005 \nL 311.335125 79.667925 \nM 364.903125 51.237645 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:3;\"/>\n   </g>\n   <g id=\"line2d_44\">\n    <path clip-path=\"url(#pf212fda5a1)\" d=\"M 30.103125 239.758125 \nM 56.887125 239.591939 \nL 70.279125 239.570138 \nL 83.671125 239.564467 \nL 97.063125 239.532778 \nL 110.455125 239.67904 \nL 123.847125 239.682713 \nL 137.239125 239.567447 \nL 150.631125 239.551557 \nL 164.023125 239.551557 \nL 177.415125 239.532778 \nL 190.807125 239.683993 \nL 204.199125 239.603199 \nL 217.591125 239.758125 \nL 230.983125 239.138421 \nL 244.375125 239.712018 \nL 257.767125 239.758125 \nM 284.551125 239.448273 \nL 297.943125 239.448273 \nL 311.335125 239.448273 \nM 364.903125 239.138421 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:3;\"/>\n   </g>\n   <g id=\"line2d_45\">\n    <path clip-path=\"url(#pf212fda5a1)\" d=\"M 30.103125 31.233165 \nM 56.887125 182.959364 \nL 70.279125 168.972546 \nL 83.671125 187.292571 \nL 97.063125 174.607171 \nL 110.455125 184.007379 \nL 123.847125 174.580485 \nL 137.239125 151.701615 \nL 150.631125 162.856845 \nL 164.023125 197.156797 \nL 177.415125 195.67513 \nL 190.807125 178.922037 \nL 204.199125 162.730005 \nL 217.591125 215.839725 \nL 230.983125 168.002925 \nL 244.375125 175.170291 \nL 257.767125 148.830153 \nM 284.551125 136.365405 \nL 297.943125 198.672837 \nL 311.335125 164.143365 \nM 364.903125 168.002925 \n\" style=\"fill:none;stroke:#9467bd;stroke-linecap:square;stroke-width:3;\"/>\n   </g>\n   <g id=\"line2d_46\">\n    <path clip-path=\"url(#pf212fda5a1)\" d=\"M 30.103125 52.107405 \nM 56.887125 176.208424 \nL 70.279125 175.146232 \nL 83.671125 174.213555 \nL 97.063125 177.926096 \nL 110.455125 166.637402 \nL 123.847125 167.024445 \nL 137.239125 158.71991 \nL 150.631125 175.975725 \nL 164.023125 179.140685 \nL 177.415125 182.907449 \nL 190.807125 164.620525 \nL 204.199125 170.449125 \nL 217.591125 186.920205 \nL 230.983125 204.532845 \nL 244.375125 166.739055 \nL 257.767125 146.639445 \nM 284.551125 170.503485 \nL 297.943125 178.005165 \nL 311.335125 183.115005 \nM 364.903125 204.532845 \n\" style=\"fill:none;stroke:#8c564b;stroke-linecap:square;stroke-width:3;\"/>\n   </g>\n   <g id=\"line2d_47\">\n    <path clip-path=\"url(#pf212fda5a1)\" d=\"M 30.103125 69.285165 \nM 56.887125 134.310025 \nL 70.279125 133.396141 \nL 83.671125 132.927135 \nL 97.063125 130.761383 \nL 110.455125 140.194958 \nL 123.847125 142.692909 \nL 137.239125 124.531651 \nL 150.631125 133.212525 \nL 164.023125 120.141965 \nL 177.415125 116.094067 \nL 190.807125 138.464909 \nL 204.199125 139.246485 \nL 217.591125 146.041485 \nL 230.983125 94.943085 \nL 244.375125 145.400037 \nL 257.767125 143.812725 \nM 284.551125 126.798045 \nL 297.943125 120.383565 \nL 311.335125 123.645165 \nM 364.903125 94.943085 \n\" style=\"fill:none;stroke:#e377c2;stroke-linecap:square;stroke-width:3;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 239.758125 \nL 30.103125 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 364.903125 239.758125 \nL 364.903125 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 239.758125 \nL 364.903125 239.758125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 22.318125 \nL 364.903125 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"text_16\">\n    <!-- dicaprio 2 Characteristics Over Time -->\n    <g transform=\"translate(88.020938 16.318125)scale(0.12 -0.12)\">\n     <defs>\n      <path d=\"M 45.40625 46.390625 \nL 45.40625 75.984375 \nL 54.390625 75.984375 \nL 54.390625 0 \nL 45.40625 0 \nL 45.40625 8.203125 \nQ 42.578125 3.328125 38.25 0.953125 \nQ 33.9375 -1.421875 27.875 -1.421875 \nQ 17.96875 -1.421875 11.734375 6.484375 \nQ 5.515625 14.40625 5.515625 27.296875 \nQ 5.515625 40.1875 11.734375 48.09375 \nQ 17.96875 56 27.875 56 \nQ 33.9375 56 38.25 53.625 \nQ 42.578125 51.265625 45.40625 46.390625 \nz\nM 14.796875 27.296875 \nQ 14.796875 17.390625 18.875 11.75 \nQ 22.953125 6.109375 30.078125 6.109375 \nQ 37.203125 6.109375 41.296875 11.75 \nQ 45.40625 17.390625 45.40625 27.296875 \nQ 45.40625 37.203125 41.296875 42.84375 \nQ 37.203125 48.484375 30.078125 48.484375 \nQ 22.953125 48.484375 18.875 42.84375 \nQ 14.796875 37.203125 14.796875 27.296875 \nz\n\" id=\"DejaVuSans-100\"/>\n      <path d=\"M 30.609375 48.390625 \nQ 23.390625 48.390625 19.1875 42.75 \nQ 14.984375 37.109375 14.984375 27.296875 \nQ 14.984375 17.484375 19.15625 11.84375 \nQ 23.34375 6.203125 30.609375 6.203125 \nQ 37.796875 6.203125 41.984375 11.859375 \nQ 46.1875 17.53125 46.1875 27.296875 \nQ 46.1875 37.015625 41.984375 42.703125 \nQ 37.796875 48.390625 30.609375 48.390625 \nz\nM 30.609375 56 \nQ 42.328125 56 49.015625 48.375 \nQ 55.71875 40.765625 55.71875 27.296875 \nQ 55.71875 13.875 49.015625 6.21875 \nQ 42.328125 -1.421875 30.609375 -1.421875 \nQ 18.84375 -1.421875 12.171875 6.21875 \nQ 5.515625 13.875 5.515625 27.296875 \nQ 5.515625 40.765625 12.171875 48.375 \nQ 18.84375 56 30.609375 56 \nz\n\" id=\"DejaVuSans-111\"/>\n      <path id=\"DejaVuSans-32\"/>\n      <path d=\"M 64.40625 67.28125 \nL 64.40625 56.890625 \nQ 59.421875 61.53125 53.78125 63.8125 \nQ 48.140625 66.109375 41.796875 66.109375 \nQ 29.296875 66.109375 22.65625 58.46875 \nQ 16.015625 50.828125 16.015625 36.375 \nQ 16.015625 21.96875 22.65625 14.328125 \nQ 29.296875 6.6875 41.796875 6.6875 \nQ 48.140625 6.6875 53.78125 8.984375 \nQ 59.421875 11.28125 64.40625 15.921875 \nL 64.40625 5.609375 \nQ 59.234375 2.09375 53.4375 0.328125 \nQ 47.65625 -1.421875 41.21875 -1.421875 \nQ 24.65625 -1.421875 15.125 8.703125 \nQ 5.609375 18.84375 5.609375 36.375 \nQ 5.609375 53.953125 15.125 64.078125 \nQ 24.65625 74.21875 41.21875 74.21875 \nQ 47.75 74.21875 53.53125 72.484375 \nQ 59.328125 70.75 64.40625 67.28125 \nz\n\" id=\"DejaVuSans-67\"/>\n      <path d=\"M 54.890625 33.015625 \nL 54.890625 0 \nL 45.90625 0 \nL 45.90625 32.71875 \nQ 45.90625 40.484375 42.875 44.328125 \nQ 39.84375 48.1875 33.796875 48.1875 \nQ 26.515625 48.1875 22.3125 43.546875 \nQ 18.109375 38.921875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 75.984375 \nL 18.109375 75.984375 \nL 18.109375 46.1875 \nQ 21.34375 51.125 25.703125 53.5625 \nQ 30.078125 56 35.796875 56 \nQ 45.21875 56 50.046875 50.171875 \nQ 54.890625 44.34375 54.890625 33.015625 \nz\n\" id=\"DejaVuSans-104\"/>\n      <path d=\"M 44.28125 53.078125 \nL 44.28125 44.578125 \nQ 40.484375 46.53125 36.375 47.5 \nQ 32.28125 48.484375 27.875 48.484375 \nQ 21.1875 48.484375 17.84375 46.4375 \nQ 14.5 44.390625 14.5 40.28125 \nQ 14.5 37.15625 16.890625 35.375 \nQ 19.28125 33.59375 26.515625 31.984375 \nL 29.59375 31.296875 \nQ 39.15625 29.25 43.1875 25.515625 \nQ 47.21875 21.78125 47.21875 15.09375 \nQ 47.21875 7.46875 41.1875 3.015625 \nQ 35.15625 -1.421875 24.609375 -1.421875 \nQ 20.21875 -1.421875 15.453125 -0.5625 \nQ 10.6875 0.296875 5.421875 2 \nL 5.421875 11.28125 \nQ 10.40625 8.6875 15.234375 7.390625 \nQ 20.0625 6.109375 24.8125 6.109375 \nQ 31.15625 6.109375 34.5625 8.28125 \nQ 37.984375 10.453125 37.984375 14.40625 \nQ 37.984375 18.0625 35.515625 20.015625 \nQ 33.0625 21.96875 24.703125 23.78125 \nL 21.578125 24.515625 \nQ 13.234375 26.265625 9.515625 29.90625 \nQ 5.8125 33.546875 5.8125 39.890625 \nQ 5.8125 47.609375 11.28125 51.796875 \nQ 16.75 56 26.8125 56 \nQ 31.78125 56 36.171875 55.265625 \nQ 40.578125 54.546875 44.28125 53.078125 \nz\n\" id=\"DejaVuSans-115\"/>\n      <path d=\"M 2.984375 54.6875 \nL 12.5 54.6875 \nL 29.59375 8.796875 \nL 46.6875 54.6875 \nL 56.203125 54.6875 \nL 35.6875 0 \nL 23.484375 0 \nz\n\" id=\"DejaVuSans-118\"/>\n      <path d=\"M -0.296875 72.90625 \nL 61.375 72.90625 \nL 61.375 64.59375 \nL 35.5 64.59375 \nL 35.5 0 \nL 25.59375 0 \nL 25.59375 64.59375 \nL -0.296875 64.59375 \nz\n\" id=\"DejaVuSans-84\"/>\n     </defs>\n     <use xlink:href=\"#DejaVuSans-100\"/>\n     <use x=\"63.476562\" xlink:href=\"#DejaVuSans-105\"/>\n     <use x=\"91.259766\" xlink:href=\"#DejaVuSans-99\"/>\n     <use x=\"146.240234\" xlink:href=\"#DejaVuSans-97\"/>\n     <use x=\"207.519531\" xlink:href=\"#DejaVuSans-112\"/>\n     <use x=\"270.996094\" xlink:href=\"#DejaVuSans-114\"/>\n     <use x=\"312.109375\" xlink:href=\"#DejaVuSans-105\"/>\n     <use x=\"339.892578\" xlink:href=\"#DejaVuSans-111\"/>\n     <use x=\"401.074219\" xlink:href=\"#DejaVuSans-32\"/>\n     <use x=\"432.861328\" xlink:href=\"#DejaVuSans-50\"/>\n     <use x=\"496.484375\" xlink:href=\"#DejaVuSans-32\"/>\n     <use x=\"528.271484\" xlink:href=\"#DejaVuSans-67\"/>\n     <use x=\"598.095703\" xlink:href=\"#DejaVuSans-104\"/>\n     <use x=\"661.474609\" xlink:href=\"#DejaVuSans-97\"/>\n     <use x=\"722.753906\" xlink:href=\"#DejaVuSans-114\"/>\n     <use x=\"763.867188\" xlink:href=\"#DejaVuSans-97\"/>\n     <use x=\"825.146484\" xlink:href=\"#DejaVuSans-99\"/>\n     <use x=\"880.126953\" xlink:href=\"#DejaVuSans-116\"/>\n     <use x=\"919.335938\" xlink:href=\"#DejaVuSans-101\"/>\n     <use x=\"980.859375\" xlink:href=\"#DejaVuSans-114\"/>\n     <use x=\"1021.972656\" xlink:href=\"#DejaVuSans-105\"/>\n     <use x=\"1049.755859\" xlink:href=\"#DejaVuSans-115\"/>\n     <use x=\"1101.855469\" xlink:href=\"#DejaVuSans-116\"/>\n     <use x=\"1141.064453\" xlink:href=\"#DejaVuSans-105\"/>\n     <use x=\"1168.847656\" xlink:href=\"#DejaVuSans-99\"/>\n     <use x=\"1223.828125\" xlink:href=\"#DejaVuSans-115\"/>\n     <use x=\"1275.927734\" xlink:href=\"#DejaVuSans-32\"/>\n     <use x=\"1307.714844\" xlink:href=\"#DejaVuSans-79\"/>\n     <use x=\"1386.425781\" xlink:href=\"#DejaVuSans-118\"/>\n     <use x=\"1445.605469\" xlink:href=\"#DejaVuSans-101\"/>\n     <use x=\"1507.128906\" xlink:href=\"#DejaVuSans-114\"/>\n     <use x=\"1548.242188\" xlink:href=\"#DejaVuSans-32\"/>\n     <use x=\"1580.029297\" xlink:href=\"#DejaVuSans-84\"/>\n     <use x=\"1637.988281\" xlink:href=\"#DejaVuSans-105\"/>\n     <use x=\"1665.771484\" xlink:href=\"#DejaVuSans-109\"/>\n     <use x=\"1763.183594\" xlink:href=\"#DejaVuSans-101\"/>\n    </g>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 34.156125 86.440566 \nL 102.860808 86.440566 \nQ 104.018808 86.440566 104.018808 85.282566 \nL 104.018808 26.371125 \nQ 104.018808 25.213125 102.860808 25.213125 \nL 34.156125 25.213125 \nQ 32.998125 25.213125 32.998125 26.371125 \nL 32.998125 85.282566 \nQ 32.998125 86.440566 34.156125 86.440566 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_48\">\n     <path d=\"M 35.314125 29.90212 \nL 46.894125 29.90212 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:3;\"/>\n    </g>\n    <g id=\"line2d_49\"/>\n    <g id=\"text_17\">\n     <!-- acousticness -->\n     <g transform=\"translate(51.526125 31.92862)scale(0.0579 -0.0579)\">\n      <use xlink:href=\"#DejaVuSans-97\"/>\n      <use x=\"61.279297\" xlink:href=\"#DejaVuSans-99\"/>\n      <use x=\"116.259766\" xlink:href=\"#DejaVuSans-111\"/>\n      <use x=\"177.441406\" xlink:href=\"#DejaVuSans-117\"/>\n      <use x=\"240.820312\" xlink:href=\"#DejaVuSans-115\"/>\n      <use x=\"292.919922\" xlink:href=\"#DejaVuSans-116\"/>\n      <use x=\"332.128906\" xlink:href=\"#DejaVuSans-105\"/>\n      <use x=\"359.912109\" xlink:href=\"#DejaVuSans-99\"/>\n      <use x=\"414.892578\" xlink:href=\"#DejaVuSans-110\"/>\n      <use x=\"478.271484\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"539.794922\" xlink:href=\"#DejaVuSans-115\"/>\n      <use x=\"591.894531\" xlink:href=\"#DejaVuSans-115\"/>\n     </g>\n    </g>\n    <g id=\"line2d_50\">\n     <path d=\"M 35.314125 38.400755 \nL 46.894125 38.400755 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:3;\"/>\n    </g>\n    <g id=\"line2d_51\"/>\n    <g id=\"text_18\">\n     <!-- danceability -->\n     <g transform=\"translate(51.526125 40.427255)scale(0.0579 -0.0579)\">\n      <defs>\n       <path d=\"M 48.6875 27.296875 \nQ 48.6875 37.203125 44.609375 42.84375 \nQ 40.53125 48.484375 33.40625 48.484375 \nQ 26.265625 48.484375 22.1875 42.84375 \nQ 18.109375 37.203125 18.109375 27.296875 \nQ 18.109375 17.390625 22.1875 11.75 \nQ 26.265625 6.109375 33.40625 6.109375 \nQ 40.53125 6.109375 44.609375 11.75 \nQ 48.6875 17.390625 48.6875 27.296875 \nz\nM 18.109375 46.390625 \nQ 20.953125 51.265625 25.265625 53.625 \nQ 29.59375 56 35.59375 56 \nQ 45.5625 56 51.78125 48.09375 \nQ 58.015625 40.1875 58.015625 27.296875 \nQ 58.015625 14.40625 51.78125 6.484375 \nQ 45.5625 -1.421875 35.59375 -1.421875 \nQ 29.59375 -1.421875 25.265625 0.953125 \nQ 20.953125 3.328125 18.109375 8.203125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 75.984375 \nL 18.109375 75.984375 \nz\n\" id=\"DejaVuSans-98\"/>\n       <path d=\"M 32.171875 -5.078125 \nQ 28.375 -14.84375 24.75 -17.8125 \nQ 21.140625 -20.796875 15.09375 -20.796875 \nL 7.90625 -20.796875 \nL 7.90625 -13.28125 \nL 13.1875 -13.28125 \nQ 16.890625 -13.28125 18.9375 -11.515625 \nQ 21 -9.765625 23.484375 -3.21875 \nL 25.09375 0.875 \nL 2.984375 54.6875 \nL 12.5 54.6875 \nL 29.59375 11.921875 \nL 46.6875 54.6875 \nL 56.203125 54.6875 \nz\n\" id=\"DejaVuSans-121\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-100\"/>\n      <use x=\"63.476562\" xlink:href=\"#DejaVuSans-97\"/>\n      <use x=\"124.755859\" xlink:href=\"#DejaVuSans-110\"/>\n      <use x=\"188.134766\" xlink:href=\"#DejaVuSans-99\"/>\n      <use x=\"243.115234\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"304.638672\" xlink:href=\"#DejaVuSans-97\"/>\n      <use x=\"365.917969\" xlink:href=\"#DejaVuSans-98\"/>\n      <use x=\"429.394531\" xlink:href=\"#DejaVuSans-105\"/>\n      <use x=\"457.177734\" xlink:href=\"#DejaVuSans-108\"/>\n      <use x=\"484.960938\" xlink:href=\"#DejaVuSans-105\"/>\n      <use x=\"512.744141\" xlink:href=\"#DejaVuSans-116\"/>\n      <use x=\"551.953125\" xlink:href=\"#DejaVuSans-121\"/>\n     </g>\n    </g>\n    <g id=\"line2d_52\">\n     <path d=\"M 35.314125 46.899389 \nL 46.894125 46.899389 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:3;\"/>\n    </g>\n    <g id=\"line2d_53\"/>\n    <g id=\"text_19\">\n     <!-- energy -->\n     <g transform=\"translate(51.526125 48.925889)scale(0.0579 -0.0579)\">\n      <defs>\n       <path d=\"M 45.40625 27.984375 \nQ 45.40625 37.75 41.375 43.109375 \nQ 37.359375 48.484375 30.078125 48.484375 \nQ 22.859375 48.484375 18.828125 43.109375 \nQ 14.796875 37.75 14.796875 27.984375 \nQ 14.796875 18.265625 18.828125 12.890625 \nQ 22.859375 7.515625 30.078125 7.515625 \nQ 37.359375 7.515625 41.375 12.890625 \nQ 45.40625 18.265625 45.40625 27.984375 \nz\nM 54.390625 6.78125 \nQ 54.390625 -7.171875 48.1875 -13.984375 \nQ 42 -20.796875 29.203125 -20.796875 \nQ 24.46875 -20.796875 20.265625 -20.09375 \nQ 16.0625 -19.390625 12.109375 -17.921875 \nL 12.109375 -9.1875 \nQ 16.0625 -11.328125 19.921875 -12.34375 \nQ 23.78125 -13.375 27.78125 -13.375 \nQ 36.625 -13.375 41.015625 -8.765625 \nQ 45.40625 -4.15625 45.40625 5.171875 \nL 45.40625 9.625 \nQ 42.625 4.78125 38.28125 2.390625 \nQ 33.9375 0 27.875 0 \nQ 17.828125 0 11.671875 7.65625 \nQ 5.515625 15.328125 5.515625 27.984375 \nQ 5.515625 40.671875 11.671875 48.328125 \nQ 17.828125 56 27.875 56 \nQ 33.9375 56 38.28125 53.609375 \nQ 42.625 51.21875 45.40625 46.390625 \nL 45.40625 54.6875 \nL 54.390625 54.6875 \nz\n\" id=\"DejaVuSans-103\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"61.523438\" xlink:href=\"#DejaVuSans-110\"/>\n      <use x=\"124.902344\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"186.425781\" xlink:href=\"#DejaVuSans-114\"/>\n      <use x=\"225.789062\" xlink:href=\"#DejaVuSans-103\"/>\n      <use x=\"289.265625\" xlink:href=\"#DejaVuSans-121\"/>\n     </g>\n    </g>\n    <g id=\"line2d_54\">\n     <path d=\"M 35.314125 55.398023 \nL 46.894125 55.398023 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:3;\"/>\n    </g>\n    <g id=\"line2d_55\"/>\n    <g id=\"text_20\">\n     <!-- instrumentalness -->\n     <g transform=\"translate(51.526125 57.424523)scale(0.0579 -0.0579)\">\n      <use xlink:href=\"#DejaVuSans-105\"/>\n      <use x=\"27.783203\" xlink:href=\"#DejaVuSans-110\"/>\n      <use x=\"91.162109\" xlink:href=\"#DejaVuSans-115\"/>\n      <use x=\"143.261719\" xlink:href=\"#DejaVuSans-116\"/>\n      <use x=\"182.470703\" xlink:href=\"#DejaVuSans-114\"/>\n      <use x=\"223.583984\" xlink:href=\"#DejaVuSans-117\"/>\n      <use x=\"286.962891\" xlink:href=\"#DejaVuSans-109\"/>\n      <use x=\"384.375\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"445.898438\" xlink:href=\"#DejaVuSans-110\"/>\n      <use x=\"509.277344\" xlink:href=\"#DejaVuSans-116\"/>\n      <use x=\"548.486328\" xlink:href=\"#DejaVuSans-97\"/>\n      <use x=\"609.765625\" xlink:href=\"#DejaVuSans-108\"/>\n      <use x=\"637.548828\" xlink:href=\"#DejaVuSans-110\"/>\n      <use x=\"700.927734\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"762.451172\" xlink:href=\"#DejaVuSans-115\"/>\n      <use x=\"814.550781\" xlink:href=\"#DejaVuSans-115\"/>\n     </g>\n    </g>\n    <g id=\"line2d_56\">\n     <path d=\"M 35.314125 63.896658 \nL 46.894125 63.896658 \n\" style=\"fill:none;stroke:#9467bd;stroke-linecap:square;stroke-width:3;\"/>\n    </g>\n    <g id=\"line2d_57\"/>\n    <g id=\"text_21\">\n     <!-- liveness -->\n     <g transform=\"translate(51.526125 65.923158)scale(0.0579 -0.0579)\">\n      <use xlink:href=\"#DejaVuSans-108\"/>\n      <use x=\"27.783203\" xlink:href=\"#DejaVuSans-105\"/>\n      <use x=\"55.566406\" xlink:href=\"#DejaVuSans-118\"/>\n      <use x=\"114.746094\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"176.269531\" xlink:href=\"#DejaVuSans-110\"/>\n      <use x=\"239.648438\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"301.171875\" xlink:href=\"#DejaVuSans-115\"/>\n      <use x=\"353.271484\" xlink:href=\"#DejaVuSans-115\"/>\n     </g>\n    </g>\n    <g id=\"line2d_58\">\n     <path d=\"M 35.314125 72.395292 \nL 46.894125 72.395292 \n\" style=\"fill:none;stroke:#8c564b;stroke-linecap:square;stroke-width:3;\"/>\n    </g>\n    <g id=\"line2d_59\"/>\n    <g id=\"text_22\">\n     <!-- speechiness -->\n     <g transform=\"translate(51.526125 74.421792)scale(0.0579 -0.0579)\">\n      <use xlink:href=\"#DejaVuSans-115\"/>\n      <use x=\"52.099609\" xlink:href=\"#DejaVuSans-112\"/>\n      <use x=\"115.576172\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"177.099609\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"238.623047\" xlink:href=\"#DejaVuSans-99\"/>\n      <use x=\"293.603516\" xlink:href=\"#DejaVuSans-104\"/>\n      <use x=\"356.982422\" xlink:href=\"#DejaVuSans-105\"/>\n      <use x=\"384.765625\" xlink:href=\"#DejaVuSans-110\"/>\n      <use x=\"448.144531\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"509.667969\" xlink:href=\"#DejaVuSans-115\"/>\n      <use x=\"561.767578\" xlink:href=\"#DejaVuSans-115\"/>\n     </g>\n    </g>\n    <g id=\"line2d_60\">\n     <path d=\"M 35.314125 80.893927 \nL 46.894125 80.893927 \n\" style=\"fill:none;stroke:#e377c2;stroke-linecap:square;stroke-width:3;\"/>\n    </g>\n    <g id=\"line2d_61\"/>\n    <g id=\"text_23\">\n     <!-- valence -->\n     <g transform=\"translate(51.526125 82.920427)scale(0.0579 -0.0579)\">\n      <use xlink:href=\"#DejaVuSans-118\"/>\n      <use x=\"59.179688\" xlink:href=\"#DejaVuSans-97\"/>\n      <use x=\"120.458984\" xlink:href=\"#DejaVuSans-108\"/>\n      <use x=\"148.242188\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"209.765625\" xlink:href=\"#DejaVuSans-110\"/>\n      <use x=\"273.144531\" xlink:href=\"#DejaVuSans-99\"/>\n      <use x=\"328.125\" xlink:href=\"#DejaVuSans-101\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pf212fda5a1\">\n   <rect height=\"217.44\" width=\"334.8\" x=\"30.103125\" y=\"22.318125\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 720x480 with 1 Axes>"
+      ]
      },
      "metadata": {
       "needs_background": "light"
-     }
+     },
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -205,15 +338,15 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "# Album Listening Time"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -235,19 +368,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": "<Figure size 840x1500 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<!-- Created with matplotlib (https://matplotlib.org/) -->\n<svg height=\"739.374375pt\" version=\"1.1\" viewBox=\"0 0 713.873438 739.374375\" width=\"713.873438pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-02-03T16:04:39.973563</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.3.4, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 739.374375 \nL 713.873437 739.374375 \nL 713.873437 0 \nL 0 0 \nz\n\" style=\"fill:none;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 316.073438 701.818125 \nL 706.673437 701.818125 \nL 706.673437 22.318125 \nL 316.073438 22.318125 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 63.127818 \nL 661.110179 63.127818 \nL 661.110179 53.204489 \nL 316.073438 53.204489 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 75.53198 \nL 674.972212 75.53198 \nL 674.972212 65.608651 \nL 316.073438 65.608651 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 87.936143 \nL 417.736348 87.936143 \nL 417.736348 78.012813 \nL 316.073438 78.012813 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 100.340305 \nL 543.972721 100.340305 \nL 543.972721 90.416975 \nL 316.073438 90.416975 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_7\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 112.744467 \nL 688.073437 112.744467 \nL 688.073437 102.821137 \nL 316.073438 102.821137 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_8\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 125.148629 \nL 535.636957 125.148629 \nL 535.636957 115.225299 \nL 316.073438 115.225299 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_9\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 137.552791 \nL 514.302717 137.552791 \nL 514.302717 127.629461 \nL 316.073438 127.629461 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_10\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 149.956953 \nL 482.399405 149.956953 \nL 482.399405 140.033623 \nL 316.073438 140.033623 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_11\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 162.361115 \nL 418.442556 162.361115 \nL 418.442556 152.437785 \nL 316.073438 152.437785 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_12\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 174.765277 \nL 585.664782 174.765277 \nL 585.664782 164.841948 \nL 316.073438 164.841948 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_13\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 187.169439 \nL 519.28481 187.169439 \nL 519.28481 177.24611 \nL 316.073438 177.24611 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_14\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 199.573601 \nL 473.64534 199.573601 \nL 473.64534 189.650272 \nL 316.073438 189.650272 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_15\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 211.977764 \nL 447.987853 211.977764 \nL 447.987853 202.054434 \nL 316.073438 202.054434 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_16\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 224.381926 \nL 490.202557 224.381926 \nL 490.202557 214.458596 \nL 316.073438 214.458596 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_17\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 236.786088 \nL 487.277223 236.786088 \nL 487.277223 226.862758 \nL 316.073438 226.862758 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_18\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 249.19025 \nL 524.375621 249.19025 \nL 524.375621 239.26692 \nL 316.073438 239.26692 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_19\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 261.594412 \nL 493.349694 261.594412 \nL 493.349694 251.671082 \nL 316.073438 251.671082 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_20\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 273.998574 \nL 442.139534 273.998574 \nL 442.139534 264.075244 \nL 316.073438 264.075244 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_21\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 286.402736 \nL 498.940137 286.402736 \nL 498.940137 276.479406 \nL 316.073438 276.479406 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_22\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 298.806898 \nL 427.662469 298.806898 \nL 427.662469 288.883569 \nL 316.073438 288.883569 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_23\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 311.21106 \nL 407.971418 311.21106 \nL 407.971418 301.287731 \nL 316.073438 301.287731 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_24\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 323.615222 \nL 503.539398 323.615222 \nL 503.539398 313.691893 \nL 316.073438 313.691893 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_25\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 336.019385 \nL 389.63943 336.019385 \nL 389.63943 326.096055 \nL 316.073438 326.096055 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_26\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 348.423547 \nL 498.131379 348.423547 \nL 498.131379 338.500217 \nL 316.073438 338.500217 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_27\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 360.827709 \nL 505.011932 360.827709 \nL 505.011932 350.904379 \nL 316.073438 350.904379 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_28\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 373.231871 \nL 429.457043 373.231871 \nL 429.457043 363.308541 \nL 316.073438 363.308541 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_29\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 385.636033 \nL 448.349006 385.636033 \nL 448.349006 375.712703 \nL 316.073438 375.712703 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_30\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 398.040195 \nL 429.482949 398.040195 \nL 429.482949 388.116865 \nL 316.073438 388.116865 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_31\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 410.444357 \nL 442.825282 410.444357 \nL 442.825282 400.521028 \nL 316.073438 400.521028 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_32\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 422.848519 \nL 502.805947 422.848519 \nL 502.805947 412.92519 \nL 316.073438 412.92519 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_33\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 435.252681 \nL 507.963915 435.252681 \nL 507.963915 425.329352 \nL 316.073438 425.329352 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_34\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 447.656844 \nL 456.25806 447.656844 \nL 456.25806 437.733514 \nL 316.073438 437.733514 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_35\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 460.061006 \nL 442.664933 460.061006 \nL 442.664933 450.137676 \nL 316.073438 450.137676 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_36\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 472.465168 \nL 418.986539 472.465168 \nL 418.986539 462.541838 \nL 316.073438 462.541838 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_37\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 484.86933 \nL 453.468321 484.86933 \nL 453.468321 474.946 \nL 316.073438 474.946 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_38\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 497.273492 \nL 453.429309 497.273492 \nL 453.429309 487.350162 \nL 316.073438 487.350162 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_39\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 509.677654 \nL 446.170121 509.677654 \nL 446.170121 499.754324 \nL 316.073438 499.754324 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_40\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 522.081816 \nL 576.542432 522.081816 \nL 576.542432 512.158486 \nL 316.073438 512.158486 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_41\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 534.485978 \nL 387.781202 534.485978 \nL 387.781202 524.562649 \nL 316.073438 524.562649 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_42\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 546.89014 \nL 460.86253 546.89014 \nL 460.86253 536.966811 \nL 316.073438 536.966811 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_43\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 559.294302 \nL 432.607297 559.294302 \nL 432.607297 549.370973 \nL 316.073438 549.370973 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_44\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 571.698465 \nL 482.034865 571.698465 \nL 482.034865 561.775135 \nL 316.073438 561.775135 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_45\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 584.102627 \nL 454.249376 584.102627 \nL 454.249376 574.179297 \nL 316.073438 574.179297 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_46\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 596.506789 \nL 427.58817 596.506789 \nL 427.58817 586.583459 \nL 316.073438 586.583459 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_47\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 608.910951 \nL 439.405839 608.910951 \nL 439.405839 598.987621 \nL 316.073438 598.987621 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_48\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 621.315113 \nL 471.466035 621.315113 \nL 471.466035 611.391783 \nL 316.073438 611.391783 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_49\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 633.719275 \nL 409.965905 633.719275 \nL 409.965905 623.795945 \nL 316.073438 623.795945 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_50\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 646.123437 \nL 427.261087 646.123437 \nL 427.261087 636.200107 \nL 316.073438 636.200107 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_51\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 658.527599 \nL 434.928308 658.527599 \nL 434.928308 648.60427 \nL 316.073438 648.60427 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_52\">\n    <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 670.931761 \nL 472.063688 670.931761 \nL 472.063688 661.008432 \nL 316.073438 661.008432 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <path clip-path=\"url(#pad548ca16a)\" d=\"M 316.073438 701.818125 \nL 316.073438 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_2\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m5889b50b1e\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m5889b50b1e\" y=\"701.818125\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(312.892188 716.416562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 31.78125 66.40625 \nQ 24.171875 66.40625 20.328125 58.90625 \nQ 16.5 51.421875 16.5 36.375 \nQ 16.5 21.390625 20.328125 13.890625 \nQ 24.171875 6.390625 31.78125 6.390625 \nQ 39.453125 6.390625 43.28125 13.890625 \nQ 47.125 21.390625 47.125 36.375 \nQ 47.125 51.421875 43.28125 58.90625 \nQ 39.453125 66.40625 31.78125 66.40625 \nz\nM 31.78125 74.21875 \nQ 44.046875 74.21875 50.515625 64.515625 \nQ 56.984375 54.828125 56.984375 36.375 \nQ 56.984375 17.96875 50.515625 8.265625 \nQ 44.046875 -1.421875 31.78125 -1.421875 \nQ 19.53125 -1.421875 13.0625 8.265625 \nQ 6.59375 17.96875 6.59375 36.375 \nQ 6.59375 54.828125 13.0625 64.515625 \nQ 19.53125 74.21875 31.78125 74.21875 \nz\n\" id=\"DejaVuSans-48\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_3\">\n      <path clip-path=\"url(#pad548ca16a)\" d=\"M 384.019823 701.818125 \nL 384.019823 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"384.019823\" xlink:href=\"#m5889b50b1e\" y=\"701.818125\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 5 -->\n      <g transform=\"translate(380.838573 716.416562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 10.796875 72.90625 \nL 49.515625 72.90625 \nL 49.515625 64.59375 \nL 19.828125 64.59375 \nL 19.828125 46.734375 \nQ 21.96875 47.46875 24.109375 47.828125 \nQ 26.265625 48.1875 28.421875 48.1875 \nQ 40.625 48.1875 47.75 41.5 \nQ 54.890625 34.8125 54.890625 23.390625 \nQ 54.890625 11.625 47.5625 5.09375 \nQ 40.234375 -1.421875 26.90625 -1.421875 \nQ 22.3125 -1.421875 17.546875 -0.640625 \nQ 12.796875 0.140625 7.71875 1.703125 \nL 7.71875 11.625 \nQ 12.109375 9.234375 16.796875 8.0625 \nQ 21.484375 6.890625 26.703125 6.890625 \nQ 35.15625 6.890625 40.078125 11.328125 \nQ 45.015625 15.765625 45.015625 23.390625 \nQ 45.015625 31 40.078125 35.4375 \nQ 35.15625 39.890625 26.703125 39.890625 \nQ 22.75 39.890625 18.8125 39.015625 \nQ 14.890625 38.140625 10.796875 36.28125 \nz\n\" id=\"DejaVuSans-53\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-53\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_5\">\n      <path clip-path=\"url(#pad548ca16a)\" d=\"M 451.966208 701.818125 \nL 451.966208 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"451.966208\" xlink:href=\"#m5889b50b1e\" y=\"701.818125\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 10 -->\n      <g transform=\"translate(445.603708 716.416562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 12.40625 8.296875 \nL 28.515625 8.296875 \nL 28.515625 63.921875 \nL 10.984375 60.40625 \nL 10.984375 69.390625 \nL 28.421875 72.90625 \nL 38.28125 72.90625 \nL 38.28125 8.296875 \nL 54.390625 8.296875 \nL 54.390625 0 \nL 12.40625 0 \nz\n\" id=\"DejaVuSans-49\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_7\">\n      <path clip-path=\"url(#pad548ca16a)\" d=\"M 519.912593 701.818125 \nL 519.912593 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"519.912593\" xlink:href=\"#m5889b50b1e\" y=\"701.818125\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 15 -->\n      <g transform=\"translate(513.550093 716.416562)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-53\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_9\">\n      <path clip-path=\"url(#pad548ca16a)\" d=\"M 587.858978 701.818125 \nL 587.858978 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"587.858978\" xlink:href=\"#m5889b50b1e\" y=\"701.818125\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 20 -->\n      <g transform=\"translate(581.496478 716.416562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 19.1875 8.296875 \nL 53.609375 8.296875 \nL 53.609375 0 \nL 7.328125 0 \nL 7.328125 8.296875 \nQ 12.9375 14.109375 22.625 23.890625 \nQ 32.328125 33.6875 34.8125 36.53125 \nQ 39.546875 41.84375 41.421875 45.53125 \nQ 43.3125 49.21875 43.3125 52.78125 \nQ 43.3125 58.59375 39.234375 62.25 \nQ 35.15625 65.921875 28.609375 65.921875 \nQ 23.96875 65.921875 18.8125 64.3125 \nQ 13.671875 62.703125 7.8125 59.421875 \nL 7.8125 69.390625 \nQ 13.765625 71.78125 18.9375 73 \nQ 24.125 74.21875 28.421875 74.21875 \nQ 39.75 74.21875 46.484375 68.546875 \nQ 53.21875 62.890625 53.21875 53.421875 \nQ 53.21875 48.921875 51.53125 44.890625 \nQ 49.859375 40.875 45.40625 35.40625 \nQ 44.1875 33.984375 37.640625 27.21875 \nQ 31.109375 20.453125 19.1875 8.296875 \nz\n\" id=\"DejaVuSans-50\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-50\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_11\">\n      <path clip-path=\"url(#pad548ca16a)\" d=\"M 655.805363 701.818125 \nL 655.805363 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"655.805363\" xlink:href=\"#m5889b50b1e\" y=\"701.818125\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 25 -->\n      <g transform=\"translate(649.442863 716.416562)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-50\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-53\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_7\">\n     <!-- Time (Hours) -->\n     <g transform=\"translate(479.000781 730.094687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M -0.296875 72.90625 \nL 61.375 72.90625 \nL 61.375 64.59375 \nL 35.5 64.59375 \nL 35.5 0 \nL 25.59375 0 \nL 25.59375 64.59375 \nL -0.296875 64.59375 \nz\n\" id=\"DejaVuSans-84\"/>\n       <path d=\"M 9.421875 54.6875 \nL 18.40625 54.6875 \nL 18.40625 0 \nL 9.421875 0 \nz\nM 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 64.59375 \nL 9.421875 64.59375 \nz\n\" id=\"DejaVuSans-105\"/>\n       <path d=\"M 52 44.1875 \nQ 55.375 50.25 60.0625 53.125 \nQ 64.75 56 71.09375 56 \nQ 79.640625 56 84.28125 50.015625 \nQ 88.921875 44.046875 88.921875 33.015625 \nL 88.921875 0 \nL 79.890625 0 \nL 79.890625 32.71875 \nQ 79.890625 40.578125 77.09375 44.375 \nQ 74.3125 48.1875 68.609375 48.1875 \nQ 61.625 48.1875 57.5625 43.546875 \nQ 53.515625 38.921875 53.515625 30.90625 \nL 53.515625 0 \nL 44.484375 0 \nL 44.484375 32.71875 \nQ 44.484375 40.625 41.703125 44.40625 \nQ 38.921875 48.1875 33.109375 48.1875 \nQ 26.21875 48.1875 22.15625 43.53125 \nQ 18.109375 38.875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 21.1875 51.21875 25.484375 53.609375 \nQ 29.78125 56 35.6875 56 \nQ 41.65625 56 45.828125 52.96875 \nQ 50 49.953125 52 44.1875 \nz\n\" id=\"DejaVuSans-109\"/>\n       <path d=\"M 56.203125 29.59375 \nL 56.203125 25.203125 \nL 14.890625 25.203125 \nQ 15.484375 15.921875 20.484375 11.0625 \nQ 25.484375 6.203125 34.421875 6.203125 \nQ 39.59375 6.203125 44.453125 7.46875 \nQ 49.3125 8.734375 54.109375 11.28125 \nL 54.109375 2.78125 \nQ 49.265625 0.734375 44.1875 -0.34375 \nQ 39.109375 -1.421875 33.890625 -1.421875 \nQ 20.796875 -1.421875 13.15625 6.1875 \nQ 5.515625 13.8125 5.515625 26.8125 \nQ 5.515625 40.234375 12.765625 48.109375 \nQ 20.015625 56 32.328125 56 \nQ 43.359375 56 49.78125 48.890625 \nQ 56.203125 41.796875 56.203125 29.59375 \nz\nM 47.21875 32.234375 \nQ 47.125 39.59375 43.09375 43.984375 \nQ 39.0625 48.390625 32.421875 48.390625 \nQ 24.90625 48.390625 20.390625 44.140625 \nQ 15.875 39.890625 15.1875 32.171875 \nz\n\" id=\"DejaVuSans-101\"/>\n       <path id=\"DejaVuSans-32\"/>\n       <path d=\"M 31 75.875 \nQ 24.46875 64.65625 21.28125 53.65625 \nQ 18.109375 42.671875 18.109375 31.390625 \nQ 18.109375 20.125 21.3125 9.0625 \nQ 24.515625 -2 31 -13.1875 \nL 23.1875 -13.1875 \nQ 15.875 -1.703125 12.234375 9.375 \nQ 8.59375 20.453125 8.59375 31.390625 \nQ 8.59375 42.28125 12.203125 53.3125 \nQ 15.828125 64.359375 23.1875 75.875 \nz\n\" id=\"DejaVuSans-40\"/>\n       <path d=\"M 9.8125 72.90625 \nL 19.671875 72.90625 \nL 19.671875 43.015625 \nL 55.515625 43.015625 \nL 55.515625 72.90625 \nL 65.375 72.90625 \nL 65.375 0 \nL 55.515625 0 \nL 55.515625 34.71875 \nL 19.671875 34.71875 \nL 19.671875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-72\"/>\n       <path d=\"M 30.609375 48.390625 \nQ 23.390625 48.390625 19.1875 42.75 \nQ 14.984375 37.109375 14.984375 27.296875 \nQ 14.984375 17.484375 19.15625 11.84375 \nQ 23.34375 6.203125 30.609375 6.203125 \nQ 37.796875 6.203125 41.984375 11.859375 \nQ 46.1875 17.53125 46.1875 27.296875 \nQ 46.1875 37.015625 41.984375 42.703125 \nQ 37.796875 48.390625 30.609375 48.390625 \nz\nM 30.609375 56 \nQ 42.328125 56 49.015625 48.375 \nQ 55.71875 40.765625 55.71875 27.296875 \nQ 55.71875 13.875 49.015625 6.21875 \nQ 42.328125 -1.421875 30.609375 -1.421875 \nQ 18.84375 -1.421875 12.171875 6.21875 \nQ 5.515625 13.875 5.515625 27.296875 \nQ 5.515625 40.765625 12.171875 48.375 \nQ 18.84375 56 30.609375 56 \nz\n\" id=\"DejaVuSans-111\"/>\n       <path d=\"M 8.5 21.578125 \nL 8.5 54.6875 \nL 17.484375 54.6875 \nL 17.484375 21.921875 \nQ 17.484375 14.15625 20.5 10.265625 \nQ 23.53125 6.390625 29.59375 6.390625 \nQ 36.859375 6.390625 41.078125 11.03125 \nQ 45.3125 15.671875 45.3125 23.6875 \nL 45.3125 54.6875 \nL 54.296875 54.6875 \nL 54.296875 0 \nL 45.3125 0 \nL 45.3125 8.40625 \nQ 42.046875 3.421875 37.71875 1 \nQ 33.40625 -1.421875 27.6875 -1.421875 \nQ 18.265625 -1.421875 13.375 4.4375 \nQ 8.5 10.296875 8.5 21.578125 \nz\nM 31.109375 56 \nz\n\" id=\"DejaVuSans-117\"/>\n       <path d=\"M 41.109375 46.296875 \nQ 39.59375 47.171875 37.8125 47.578125 \nQ 36.03125 48 33.890625 48 \nQ 26.265625 48 22.1875 43.046875 \nQ 18.109375 38.09375 18.109375 28.8125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 20.953125 51.171875 25.484375 53.578125 \nQ 30.03125 56 36.53125 56 \nQ 37.453125 56 38.578125 55.875 \nQ 39.703125 55.765625 41.0625 55.515625 \nz\n\" id=\"DejaVuSans-114\"/>\n       <path d=\"M 44.28125 53.078125 \nL 44.28125 44.578125 \nQ 40.484375 46.53125 36.375 47.5 \nQ 32.28125 48.484375 27.875 48.484375 \nQ 21.1875 48.484375 17.84375 46.4375 \nQ 14.5 44.390625 14.5 40.28125 \nQ 14.5 37.15625 16.890625 35.375 \nQ 19.28125 33.59375 26.515625 31.984375 \nL 29.59375 31.296875 \nQ 39.15625 29.25 43.1875 25.515625 \nQ 47.21875 21.78125 47.21875 15.09375 \nQ 47.21875 7.46875 41.1875 3.015625 \nQ 35.15625 -1.421875 24.609375 -1.421875 \nQ 20.21875 -1.421875 15.453125 -0.5625 \nQ 10.6875 0.296875 5.421875 2 \nL 5.421875 11.28125 \nQ 10.40625 8.6875 15.234375 7.390625 \nQ 20.0625 6.109375 24.8125 6.109375 \nQ 31.15625 6.109375 34.5625 8.28125 \nQ 37.984375 10.453125 37.984375 14.40625 \nQ 37.984375 18.0625 35.515625 20.015625 \nQ 33.0625 21.96875 24.703125 23.78125 \nL 21.578125 24.515625 \nQ 13.234375 26.265625 9.515625 29.90625 \nQ 5.8125 33.546875 5.8125 39.890625 \nQ 5.8125 47.609375 11.28125 51.796875 \nQ 16.75 56 26.8125 56 \nQ 31.78125 56 36.171875 55.265625 \nQ 40.578125 54.546875 44.28125 53.078125 \nz\n\" id=\"DejaVuSans-115\"/>\n       <path d=\"M 8.015625 75.875 \nL 15.828125 75.875 \nQ 23.140625 64.359375 26.78125 53.3125 \nQ 30.421875 42.28125 30.421875 31.390625 \nQ 30.421875 20.453125 26.78125 9.375 \nQ 23.140625 -1.703125 15.828125 -13.1875 \nL 8.015625 -13.1875 \nQ 14.5 -2 17.703125 9.0625 \nQ 20.90625 20.125 20.90625 31.390625 \nQ 20.90625 42.671875 17.703125 53.65625 \nQ 14.5 64.65625 8.015625 75.875 \nz\n\" id=\"DejaVuSans-41\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-84\"/>\n      <use x=\"57.958984\" xlink:href=\"#DejaVuSans-105\"/>\n      <use x=\"85.742188\" xlink:href=\"#DejaVuSans-109\"/>\n      <use x=\"183.154297\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"244.677734\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"276.464844\" xlink:href=\"#DejaVuSans-40\"/>\n      <use x=\"315.478516\" xlink:href=\"#DejaVuSans-72\"/>\n      <use x=\"390.673828\" xlink:href=\"#DejaVuSans-111\"/>\n      <use x=\"451.855469\" xlink:href=\"#DejaVuSans-117\"/>\n      <use x=\"515.234375\" xlink:href=\"#DejaVuSans-114\"/>\n      <use x=\"556.347656\" xlink:href=\"#DejaVuSans-115\"/>\n      <use x=\"608.447266\" xlink:href=\"#DejaVuSans-41\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_13\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m246718c5fb\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"58.166153\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- Piñata, Freddie Gibbs -->\n      <g transform=\"translate(203.315625 61.965372)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 19.671875 64.796875 \nL 19.671875 37.40625 \nL 32.078125 37.40625 \nQ 38.96875 37.40625 42.71875 40.96875 \nQ 46.484375 44.53125 46.484375 51.125 \nQ 46.484375 57.671875 42.71875 61.234375 \nQ 38.96875 64.796875 32.078125 64.796875 \nz\nM 9.8125 72.90625 \nL 32.078125 72.90625 \nQ 44.34375 72.90625 50.609375 67.359375 \nQ 56.890625 61.8125 56.890625 51.125 \nQ 56.890625 40.328125 50.609375 34.8125 \nQ 44.34375 29.296875 32.078125 29.296875 \nL 19.671875 29.296875 \nL 19.671875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-80\"/>\n        <path d=\"M 54.890625 33.015625 \nL 54.890625 0 \nL 45.90625 0 \nL 45.90625 32.71875 \nQ 45.90625 40.484375 42.875 44.328125 \nQ 39.84375 48.1875 33.796875 48.1875 \nQ 26.515625 48.1875 22.3125 43.546875 \nQ 18.109375 38.921875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 21.34375 51.125 25.703125 53.5625 \nQ 30.078125 56 35.796875 56 \nQ 45.21875 56 50.046875 50.171875 \nQ 54.890625 44.34375 54.890625 33.015625 \nz\nM 32.1875 66.890625 \nL 29.390625 69.578125 \nQ 28.328125 70.5625 27.515625 71.015625 \nQ 26.71875 71.484375 26.078125 71.484375 \nQ 24.21875 71.484375 23.34375 69.703125 \nQ 22.46875 67.921875 22.359375 63.921875 \nL 16.265625 63.921875 \nQ 16.359375 70.515625 18.84375 74.09375 \nQ 21.34375 77.6875 25.78125 77.6875 \nQ 27.640625 77.6875 29.203125 77 \nQ 30.765625 76.3125 32.578125 74.703125 \nL 35.359375 72.015625 \nQ 36.421875 71.046875 37.234375 70.578125 \nQ 38.046875 70.125 38.671875 70.125 \nQ 40.53125 70.125 41.40625 71.90625 \nQ 42.28125 73.6875 42.390625 77.6875 \nL 48.484375 77.6875 \nQ 48.390625 71.09375 45.890625 67.5 \nQ 43.40625 63.921875 38.96875 63.921875 \nQ 37.109375 63.921875 35.546875 64.59375 \nQ 33.984375 65.28125 32.1875 66.890625 \nz\n\" id=\"DejaVuSans-241\"/>\n        <path d=\"M 34.28125 27.484375 \nQ 23.390625 27.484375 19.1875 25 \nQ 14.984375 22.515625 14.984375 16.5 \nQ 14.984375 11.71875 18.140625 8.90625 \nQ 21.296875 6.109375 26.703125 6.109375 \nQ 34.1875 6.109375 38.703125 11.40625 \nQ 43.21875 16.703125 43.21875 25.484375 \nL 43.21875 27.484375 \nz\nM 52.203125 31.203125 \nL 52.203125 0 \nL 43.21875 0 \nL 43.21875 8.296875 \nQ 40.140625 3.328125 35.546875 0.953125 \nQ 30.953125 -1.421875 24.3125 -1.421875 \nQ 15.921875 -1.421875 10.953125 3.296875 \nQ 6 8.015625 6 15.921875 \nQ 6 25.140625 12.171875 29.828125 \nQ 18.359375 34.515625 30.609375 34.515625 \nL 43.21875 34.515625 \nL 43.21875 35.40625 \nQ 43.21875 41.609375 39.140625 45 \nQ 35.0625 48.390625 27.6875 48.390625 \nQ 23 48.390625 18.546875 47.265625 \nQ 14.109375 46.140625 10.015625 43.890625 \nL 10.015625 52.203125 \nQ 14.9375 54.109375 19.578125 55.046875 \nQ 24.21875 56 28.609375 56 \nQ 40.484375 56 46.34375 49.84375 \nQ 52.203125 43.703125 52.203125 31.203125 \nz\n\" id=\"DejaVuSans-97\"/>\n        <path d=\"M 18.3125 70.21875 \nL 18.3125 54.6875 \nL 36.8125 54.6875 \nL 36.8125 47.703125 \nL 18.3125 47.703125 \nL 18.3125 18.015625 \nQ 18.3125 11.328125 20.140625 9.421875 \nQ 21.96875 7.515625 27.59375 7.515625 \nL 36.8125 7.515625 \nL 36.8125 0 \nL 27.59375 0 \nQ 17.1875 0 13.234375 3.875 \nQ 9.28125 7.765625 9.28125 18.015625 \nL 9.28125 47.703125 \nL 2.6875 47.703125 \nL 2.6875 54.6875 \nL 9.28125 54.6875 \nL 9.28125 70.21875 \nz\n\" id=\"DejaVuSans-116\"/>\n        <path d=\"M 11.71875 12.40625 \nL 22.015625 12.40625 \nL 22.015625 4 \nL 14.015625 -11.625 \nL 7.71875 -11.625 \nL 11.71875 4 \nz\n\" id=\"DejaVuSans-44\"/>\n        <path d=\"M 9.8125 72.90625 \nL 51.703125 72.90625 \nL 51.703125 64.59375 \nL 19.671875 64.59375 \nL 19.671875 43.109375 \nL 48.578125 43.109375 \nL 48.578125 34.8125 \nL 19.671875 34.8125 \nL 19.671875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-70\"/>\n        <path d=\"M 45.40625 46.390625 \nL 45.40625 75.984375 \nL 54.390625 75.984375 \nL 54.390625 0 \nL 45.40625 0 \nL 45.40625 8.203125 \nQ 42.578125 3.328125 38.25 0.953125 \nQ 33.9375 -1.421875 27.875 -1.421875 \nQ 17.96875 -1.421875 11.734375 6.484375 \nQ 5.515625 14.40625 5.515625 27.296875 \nQ 5.515625 40.1875 11.734375 48.09375 \nQ 17.96875 56 27.875 56 \nQ 33.9375 56 38.25 53.625 \nQ 42.578125 51.265625 45.40625 46.390625 \nz\nM 14.796875 27.296875 \nQ 14.796875 17.390625 18.875 11.75 \nQ 22.953125 6.109375 30.078125 6.109375 \nQ 37.203125 6.109375 41.296875 11.75 \nQ 45.40625 17.390625 45.40625 27.296875 \nQ 45.40625 37.203125 41.296875 42.84375 \nQ 37.203125 48.484375 30.078125 48.484375 \nQ 22.953125 48.484375 18.875 42.84375 \nQ 14.796875 37.203125 14.796875 27.296875 \nz\n\" id=\"DejaVuSans-100\"/>\n        <path d=\"M 59.515625 10.40625 \nL 59.515625 29.984375 \nL 43.40625 29.984375 \nL 43.40625 38.09375 \nL 69.28125 38.09375 \nL 69.28125 6.78125 \nQ 63.578125 2.734375 56.6875 0.65625 \nQ 49.8125 -1.421875 42 -1.421875 \nQ 24.90625 -1.421875 15.25 8.5625 \nQ 5.609375 18.5625 5.609375 36.375 \nQ 5.609375 54.25 15.25 64.234375 \nQ 24.90625 74.21875 42 74.21875 \nQ 49.125 74.21875 55.546875 72.453125 \nQ 61.96875 70.703125 67.390625 67.28125 \nL 67.390625 56.78125 \nQ 61.921875 61.421875 55.765625 63.765625 \nQ 49.609375 66.109375 42.828125 66.109375 \nQ 29.4375 66.109375 22.71875 58.640625 \nQ 16.015625 51.171875 16.015625 36.375 \nQ 16.015625 21.625 22.71875 14.15625 \nQ 29.4375 6.6875 42.828125 6.6875 \nQ 48.046875 6.6875 52.140625 7.59375 \nQ 56.25 8.5 59.515625 10.40625 \nz\n\" id=\"DejaVuSans-71\"/>\n        <path d=\"M 48.6875 27.296875 \nQ 48.6875 37.203125 44.609375 42.84375 \nQ 40.53125 48.484375 33.40625 48.484375 \nQ 26.265625 48.484375 22.1875 42.84375 \nQ 18.109375 37.203125 18.109375 27.296875 \nQ 18.109375 17.390625 22.1875 11.75 \nQ 26.265625 6.109375 33.40625 6.109375 \nQ 40.53125 6.109375 44.609375 11.75 \nQ 48.6875 17.390625 48.6875 27.296875 \nz\nM 18.109375 46.390625 \nQ 20.953125 51.265625 25.265625 53.625 \nQ 29.59375 56 35.59375 56 \nQ 45.5625 56 51.78125 48.09375 \nQ 58.015625 40.1875 58.015625 27.296875 \nQ 58.015625 14.40625 51.78125 6.484375 \nQ 45.5625 -1.421875 35.59375 -1.421875 \nQ 29.59375 -1.421875 25.265625 0.953125 \nQ 20.953125 3.328125 18.109375 8.203125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 75.984375 \nL 18.109375 75.984375 \nz\n\" id=\"DejaVuSans-98\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-80\"/>\n       <use x=\"58.052734\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"85.835938\" xlink:href=\"#DejaVuSans-241\"/>\n       <use x=\"149.214844\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"210.494141\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"249.703125\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"310.982422\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"342.769531\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"374.556641\" xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"424.826172\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"463.689453\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"525.212891\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"588.689453\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"652.166016\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"679.949219\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"741.472656\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"773.259766\" xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"850.75\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"878.533203\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"942.009766\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"1005.486328\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"70.570316\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- To Pimp a Butterfly, Kendrick Lamar -->\n      <g transform=\"translate(130.403125 74.369534)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 18.109375 8.203125 \nL 18.109375 -20.796875 \nL 9.078125 -20.796875 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.390625 \nQ 20.953125 51.265625 25.265625 53.625 \nQ 29.59375 56 35.59375 56 \nQ 45.5625 56 51.78125 48.09375 \nQ 58.015625 40.1875 58.015625 27.296875 \nQ 58.015625 14.40625 51.78125 6.484375 \nQ 45.5625 -1.421875 35.59375 -1.421875 \nQ 29.59375 -1.421875 25.265625 0.953125 \nQ 20.953125 3.328125 18.109375 8.203125 \nz\nM 48.6875 27.296875 \nQ 48.6875 37.203125 44.609375 42.84375 \nQ 40.53125 48.484375 33.40625 48.484375 \nQ 26.265625 48.484375 22.1875 42.84375 \nQ 18.109375 37.203125 18.109375 27.296875 \nQ 18.109375 17.390625 22.1875 11.75 \nQ 26.265625 6.109375 33.40625 6.109375 \nQ 40.53125 6.109375 44.609375 11.75 \nQ 48.6875 17.390625 48.6875 27.296875 \nz\n\" id=\"DejaVuSans-112\"/>\n        <path d=\"M 19.671875 34.8125 \nL 19.671875 8.109375 \nL 35.5 8.109375 \nQ 43.453125 8.109375 47.28125 11.40625 \nQ 51.125 14.703125 51.125 21.484375 \nQ 51.125 28.328125 47.28125 31.5625 \nQ 43.453125 34.8125 35.5 34.8125 \nz\nM 19.671875 64.796875 \nL 19.671875 42.828125 \nL 34.28125 42.828125 \nQ 41.5 42.828125 45.03125 45.53125 \nQ 48.578125 48.25 48.578125 53.8125 \nQ 48.578125 59.328125 45.03125 62.0625 \nQ 41.5 64.796875 34.28125 64.796875 \nz\nM 9.8125 72.90625 \nL 35.015625 72.90625 \nQ 46.296875 72.90625 52.390625 68.21875 \nQ 58.5 63.53125 58.5 54.890625 \nQ 58.5 48.1875 55.375 44.234375 \nQ 52.25 40.28125 46.1875 39.3125 \nQ 53.46875 37.75 57.5 32.78125 \nQ 61.53125 27.828125 61.53125 20.40625 \nQ 61.53125 10.640625 54.890625 5.3125 \nQ 48.25 0 35.984375 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-66\"/>\n        <path d=\"M 37.109375 75.984375 \nL 37.109375 68.5 \nL 28.515625 68.5 \nQ 23.6875 68.5 21.796875 66.546875 \nQ 19.921875 64.59375 19.921875 59.515625 \nL 19.921875 54.6875 \nL 34.71875 54.6875 \nL 34.71875 47.703125 \nL 19.921875 47.703125 \nL 19.921875 0 \nL 10.890625 0 \nL 10.890625 47.703125 \nL 2.296875 47.703125 \nL 2.296875 54.6875 \nL 10.890625 54.6875 \nL 10.890625 58.5 \nQ 10.890625 67.625 15.140625 71.796875 \nQ 19.390625 75.984375 28.609375 75.984375 \nz\n\" id=\"DejaVuSans-102\"/>\n        <path d=\"M 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 0 \nL 9.421875 0 \nz\n\" id=\"DejaVuSans-108\"/>\n        <path d=\"M 32.171875 -5.078125 \nQ 28.375 -14.84375 24.75 -17.8125 \nQ 21.140625 -20.796875 15.09375 -20.796875 \nL 7.90625 -20.796875 \nL 7.90625 -13.28125 \nL 13.1875 -13.28125 \nQ 16.890625 -13.28125 18.9375 -11.515625 \nQ 21 -9.765625 23.484375 -3.21875 \nL 25.09375 0.875 \nL 2.984375 54.6875 \nL 12.5 54.6875 \nL 29.59375 11.921875 \nL 46.6875 54.6875 \nL 56.203125 54.6875 \nz\n\" id=\"DejaVuSans-121\"/>\n        <path d=\"M 9.8125 72.90625 \nL 19.671875 72.90625 \nL 19.671875 42.09375 \nL 52.390625 72.90625 \nL 65.09375 72.90625 \nL 28.90625 38.921875 \nL 67.671875 0 \nL 54.6875 0 \nL 19.671875 35.109375 \nL 19.671875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-75\"/>\n        <path d=\"M 54.890625 33.015625 \nL 54.890625 0 \nL 45.90625 0 \nL 45.90625 32.71875 \nQ 45.90625 40.484375 42.875 44.328125 \nQ 39.84375 48.1875 33.796875 48.1875 \nQ 26.515625 48.1875 22.3125 43.546875 \nQ 18.109375 38.921875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 21.34375 51.125 25.703125 53.5625 \nQ 30.078125 56 35.796875 56 \nQ 45.21875 56 50.046875 50.171875 \nQ 54.890625 44.34375 54.890625 33.015625 \nz\n\" id=\"DejaVuSans-110\"/>\n        <path d=\"M 48.78125 52.59375 \nL 48.78125 44.1875 \nQ 44.96875 46.296875 41.140625 47.34375 \nQ 37.3125 48.390625 33.40625 48.390625 \nQ 24.65625 48.390625 19.8125 42.84375 \nQ 14.984375 37.3125 14.984375 27.296875 \nQ 14.984375 17.28125 19.8125 11.734375 \nQ 24.65625 6.203125 33.40625 6.203125 \nQ 37.3125 6.203125 41.140625 7.25 \nQ 44.96875 8.296875 48.78125 10.40625 \nL 48.78125 2.09375 \nQ 45.015625 0.34375 40.984375 -0.53125 \nQ 36.96875 -1.421875 32.421875 -1.421875 \nQ 20.0625 -1.421875 12.78125 6.34375 \nQ 5.515625 14.109375 5.515625 27.296875 \nQ 5.515625 40.671875 12.859375 48.328125 \nQ 20.21875 56 33.015625 56 \nQ 37.15625 56 41.109375 55.140625 \nQ 45.0625 54.296875 48.78125 52.59375 \nz\n\" id=\"DejaVuSans-99\"/>\n        <path d=\"M 9.078125 75.984375 \nL 18.109375 75.984375 \nL 18.109375 31.109375 \nL 44.921875 54.6875 \nL 56.390625 54.6875 \nL 27.390625 29.109375 \nL 57.625 0 \nL 45.90625 0 \nL 18.109375 26.703125 \nL 18.109375 0 \nL 9.078125 0 \nz\n\" id=\"DejaVuSans-107\"/>\n        <path d=\"M 9.8125 72.90625 \nL 19.671875 72.90625 \nL 19.671875 8.296875 \nL 55.171875 8.296875 \nL 55.171875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-76\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"44.083984\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"105.265625\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"137.052734\" xlink:href=\"#DejaVuSans-80\"/>\n       <use x=\"195.105469\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"222.888672\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"320.300781\" xlink:href=\"#DejaVuSans-112\"/>\n       <use x=\"383.777344\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"415.564453\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"476.84375\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"508.630859\" xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"577.234375\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"640.613281\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"679.822266\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"719.03125\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"780.554688\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"821.667969\" xlink:href=\"#DejaVuSans-102\"/>\n       <use x=\"856.873047\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"884.65625\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"943.835938\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"975.623047\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1007.410156\" xlink:href=\"#DejaVuSans-75\"/>\n       <use x=\"1067.986328\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1129.509766\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"1192.888672\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"1256.365234\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1297.478516\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1325.261719\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"1380.242188\" xlink:href=\"#DejaVuSans-107\"/>\n       <use x=\"1438.152344\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1469.939453\" xlink:href=\"#DejaVuSans-76\"/>\n       <use x=\"1525.652344\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1586.931641\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"1684.34375\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1745.623047\" xlink:href=\"#DejaVuSans-114\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"82.974478\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- Donuts, J Dilla -->\n      <g transform=\"translate(238.803125 86.773696)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 19.671875 64.796875 \nL 19.671875 8.109375 \nL 31.59375 8.109375 \nQ 46.6875 8.109375 53.6875 14.9375 \nQ 60.6875 21.78125 60.6875 36.53125 \nQ 60.6875 51.171875 53.6875 57.984375 \nQ 46.6875 64.796875 31.59375 64.796875 \nz\nM 9.8125 72.90625 \nL 30.078125 72.90625 \nQ 51.265625 72.90625 61.171875 64.09375 \nQ 71.09375 55.28125 71.09375 36.53125 \nQ 71.09375 17.671875 61.125 8.828125 \nQ 51.171875 0 30.078125 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-68\"/>\n        <path d=\"M 9.8125 72.90625 \nL 19.671875 72.90625 \nL 19.671875 5.078125 \nQ 19.671875 -8.109375 14.671875 -14.0625 \nQ 9.671875 -20.015625 -1.421875 -20.015625 \nL -5.171875 -20.015625 \nL -5.171875 -11.71875 \nL -2.09375 -11.71875 \nQ 4.4375 -11.71875 7.125 -8.046875 \nQ 9.8125 -4.390625 9.8125 5.078125 \nz\n\" id=\"DejaVuSans-74\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"77.001953\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"138.183594\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"201.5625\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"264.941406\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"304.150391\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"356.25\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"388.037109\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"419.824219\" xlink:href=\"#DejaVuSans-74\"/>\n       <use x=\"449.316406\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"481.103516\" xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"558.105469\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"585.888672\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"613.671875\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"641.455078\" xlink:href=\"#DejaVuSans-97\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_16\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"95.37864\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- Lower Than Atlantis (The Black Edition), Lower Than Atlantis -->\n      <g transform=\"translate(7.2 99.177859)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 4.203125 54.6875 \nL 13.1875 54.6875 \nL 24.421875 12.015625 \nL 35.59375 54.6875 \nL 46.1875 54.6875 \nL 57.421875 12.015625 \nL 68.609375 54.6875 \nL 77.59375 54.6875 \nL 63.28125 0 \nL 52.6875 0 \nL 40.921875 44.828125 \nL 29.109375 0 \nL 18.5 0 \nz\n\" id=\"DejaVuSans-119\"/>\n        <path d=\"M 54.890625 33.015625 \nL 54.890625 0 \nL 45.90625 0 \nL 45.90625 32.71875 \nQ 45.90625 40.484375 42.875 44.328125 \nQ 39.84375 48.1875 33.796875 48.1875 \nQ 26.515625 48.1875 22.3125 43.546875 \nQ 18.109375 38.921875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 75.984375 \nL 18.109375 75.984375 \nL 18.109375 46.1875 \nQ 21.34375 51.125 25.703125 53.5625 \nQ 30.078125 56 35.796875 56 \nQ 45.21875 56 50.046875 50.171875 \nQ 54.890625 44.34375 54.890625 33.015625 \nz\n\" id=\"DejaVuSans-104\"/>\n        <path d=\"M 34.1875 63.1875 \nL 20.796875 26.90625 \nL 47.609375 26.90625 \nz\nM 28.609375 72.90625 \nL 39.796875 72.90625 \nL 67.578125 0 \nL 57.328125 0 \nL 50.6875 18.703125 \nL 17.828125 18.703125 \nL 11.1875 0 \nL 0.78125 0 \nz\n\" id=\"DejaVuSans-65\"/>\n        <path d=\"M 9.8125 72.90625 \nL 55.90625 72.90625 \nL 55.90625 64.59375 \nL 19.671875 64.59375 \nL 19.671875 43.015625 \nL 54.390625 43.015625 \nL 54.390625 34.71875 \nL 19.671875 34.71875 \nL 19.671875 8.296875 \nL 56.78125 8.296875 \nL 56.78125 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-69\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-76\"/>\n       <use x=\"53.962891\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"115.144531\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"196.931641\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"258.455078\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"299.568359\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"331.355469\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"392.439453\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"455.818359\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"517.097656\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"580.476562\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"612.263672\" xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"678.921875\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"718.130859\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"745.914062\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"807.193359\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"870.572266\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"909.78125\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"937.564453\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"989.664062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1021.451172\" xlink:href=\"#DejaVuSans-40\"/>\n       <use x=\"1060.464844\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"1121.548828\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"1184.927734\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1246.451172\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1278.238281\" xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"1346.841797\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1374.625\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1435.904297\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"1490.884766\" xlink:href=\"#DejaVuSans-107\"/>\n       <use x=\"1548.794922\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1580.582031\" xlink:href=\"#DejaVuSans-69\"/>\n       <use x=\"1643.765625\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"1707.242188\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1735.025391\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1774.234375\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1802.017578\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1863.199219\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"1926.578125\" xlink:href=\"#DejaVuSans-41\"/>\n       <use x=\"1965.591797\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1997.378906\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"2029.166016\" xlink:href=\"#DejaVuSans-76\"/>\n       <use x=\"2083.128906\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"2144.310547\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"2226.097656\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"2287.621094\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"2328.734375\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"2360.521484\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"2421.605469\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"2484.984375\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"2546.263672\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"2609.642578\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"2641.429688\" xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"2708.087891\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"2747.296875\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"2775.080078\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"2836.359375\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"2899.738281\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"2938.947266\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"2966.730469\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_17\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"107.782802\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- good kid, m.A.A.d city (Deluxe), Kendrick Lamar -->\n      <g transform=\"translate(69.440625 111.582021)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 45.40625 27.984375 \nQ 45.40625 37.75 41.375 43.109375 \nQ 37.359375 48.484375 30.078125 48.484375 \nQ 22.859375 48.484375 18.828125 43.109375 \nQ 14.796875 37.75 14.796875 27.984375 \nQ 14.796875 18.265625 18.828125 12.890625 \nQ 22.859375 7.515625 30.078125 7.515625 \nQ 37.359375 7.515625 41.375 12.890625 \nQ 45.40625 18.265625 45.40625 27.984375 \nz\nM 54.390625 6.78125 \nQ 54.390625 -7.171875 48.1875 -13.984375 \nQ 42 -20.796875 29.203125 -20.796875 \nQ 24.46875 -20.796875 20.265625 -20.09375 \nQ 16.0625 -19.390625 12.109375 -17.921875 \nL 12.109375 -9.1875 \nQ 16.0625 -11.328125 19.921875 -12.34375 \nQ 23.78125 -13.375 27.78125 -13.375 \nQ 36.625 -13.375 41.015625 -8.765625 \nQ 45.40625 -4.15625 45.40625 5.171875 \nL 45.40625 9.625 \nQ 42.625 4.78125 38.28125 2.390625 \nQ 33.9375 0 27.875 0 \nQ 17.828125 0 11.671875 7.65625 \nQ 5.515625 15.328125 5.515625 27.984375 \nQ 5.515625 40.671875 11.671875 48.328125 \nQ 17.828125 56 27.875 56 \nQ 33.9375 56 38.28125 53.609375 \nQ 42.625 51.21875 45.40625 46.390625 \nL 45.40625 54.6875 \nL 54.390625 54.6875 \nz\n\" id=\"DejaVuSans-103\"/>\n        <path d=\"M 10.6875 12.40625 \nL 21 12.40625 \nL 21 0 \nL 10.6875 0 \nz\n\" id=\"DejaVuSans-46\"/>\n        <path d=\"M 54.890625 54.6875 \nL 35.109375 28.078125 \nL 55.90625 0 \nL 45.3125 0 \nL 29.390625 21.484375 \nL 13.484375 0 \nL 2.875 0 \nL 24.125 28.609375 \nL 4.6875 54.6875 \nL 15.28125 54.6875 \nL 29.78125 35.203125 \nL 44.28125 54.6875 \nz\n\" id=\"DejaVuSans-120\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"63.476562\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"124.658203\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"185.839844\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"249.316406\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"281.103516\" xlink:href=\"#DejaVuSans-107\"/>\n       <use x=\"339.013672\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"366.796875\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"430.273438\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"462.060547\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"493.847656\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"591.259766\" xlink:href=\"#DejaVuSans-46\"/>\n       <use x=\"623.046875\" xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"689.705078\" xlink:href=\"#DejaVuSans-46\"/>\n       <use x=\"721.492188\" xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"788.150391\" xlink:href=\"#DejaVuSans-46\"/>\n       <use x=\"819.9375\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"883.414062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"915.201172\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"970.181641\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"997.964844\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1037.173828\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"1096.353516\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1128.140625\" xlink:href=\"#DejaVuSans-40\"/>\n       <use x=\"1167.154297\" xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"1244.15625\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1305.679688\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1333.462891\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"1396.841797\" xlink:href=\"#DejaVuSans-120\"/>\n       <use x=\"1452.896484\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1514.419922\" xlink:href=\"#DejaVuSans-41\"/>\n       <use x=\"1553.433594\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1585.220703\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1617.007812\" xlink:href=\"#DejaVuSans-75\"/>\n       <use x=\"1677.583984\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1739.107422\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"1802.486328\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"1865.962891\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1907.076172\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1934.859375\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"1989.839844\" xlink:href=\"#DejaVuSans-107\"/>\n       <use x=\"2047.75\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"2079.537109\" xlink:href=\"#DejaVuSans-76\"/>\n       <use x=\"2135.25\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"2196.529297\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"2293.941406\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"2355.220703\" xlink:href=\"#DejaVuSans-114\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_18\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"120.186964\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- Gang Signs &amp; Prayer, Stormzy -->\n      <g transform=\"translate(158.292188 123.986183)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 53.515625 70.515625 \nL 53.515625 60.890625 \nQ 47.90625 63.578125 42.921875 64.890625 \nQ 37.9375 66.21875 33.296875 66.21875 \nQ 25.25 66.21875 20.875 63.09375 \nQ 16.5 59.96875 16.5 54.203125 \nQ 16.5 49.359375 19.40625 46.890625 \nQ 22.3125 44.4375 30.421875 42.921875 \nL 36.375 41.703125 \nQ 47.40625 39.59375 52.65625 34.296875 \nQ 57.90625 29 57.90625 20.125 \nQ 57.90625 9.515625 50.796875 4.046875 \nQ 43.703125 -1.421875 29.984375 -1.421875 \nQ 24.8125 -1.421875 18.96875 -0.25 \nQ 13.140625 0.921875 6.890625 3.21875 \nL 6.890625 13.375 \nQ 12.890625 10.015625 18.65625 8.296875 \nQ 24.421875 6.59375 29.984375 6.59375 \nQ 38.421875 6.59375 43.015625 9.90625 \nQ 47.609375 13.234375 47.609375 19.390625 \nQ 47.609375 24.75 44.3125 27.78125 \nQ 41.015625 30.8125 33.5 32.328125 \nL 27.484375 33.5 \nQ 16.453125 35.6875 11.515625 40.375 \nQ 6.59375 45.0625 6.59375 53.421875 \nQ 6.59375 63.09375 13.40625 68.65625 \nQ 20.21875 74.21875 32.171875 74.21875 \nQ 37.3125 74.21875 42.625 73.28125 \nQ 47.953125 72.359375 53.515625 70.515625 \nz\n\" id=\"DejaVuSans-83\"/>\n        <path d=\"M 24.3125 39.203125 \nQ 19.875 35.25 17.796875 31.3125 \nQ 15.71875 27.390625 15.71875 23.09375 \nQ 15.71875 15.96875 20.890625 11.234375 \nQ 26.078125 6.5 33.890625 6.5 \nQ 38.53125 6.5 42.578125 8.03125 \nQ 46.625 9.578125 50.203125 12.703125 \nz\nM 31.203125 44.671875 \nL 56 19.28125 \nQ 58.890625 23.640625 60.5 28.59375 \nQ 62.109375 33.546875 62.40625 39.109375 \nL 71.484375 39.109375 \nQ 70.90625 32.671875 68.359375 26.359375 \nQ 65.828125 20.0625 61.28125 13.921875 \nL 74.90625 0 \nL 62.59375 0 \nL 55.609375 7.171875 \nQ 50.53125 2.828125 44.96875 0.703125 \nQ 39.40625 -1.421875 33.015625 -1.421875 \nQ 21.234375 -1.421875 13.765625 5.296875 \nQ 6.296875 12.015625 6.296875 22.515625 \nQ 6.296875 28.765625 9.5625 34.25 \nQ 12.84375 39.75 19.390625 44.578125 \nQ 17.046875 47.65625 15.8125 50.703125 \nQ 14.59375 53.765625 14.59375 56.6875 \nQ 14.59375 64.59375 20.015625 69.40625 \nQ 25.4375 74.21875 34.421875 74.21875 \nQ 38.484375 74.21875 42.5 73.34375 \nQ 46.53125 72.46875 50.6875 70.703125 \nL 50.6875 61.8125 \nQ 46.4375 64.109375 42.578125 65.296875 \nQ 38.71875 66.5 35.40625 66.5 \nQ 30.28125 66.5 27.078125 63.78125 \nQ 23.875 61.078125 23.875 56.78125 \nQ 23.875 54.296875 25.3125 51.78125 \nQ 26.765625 49.265625 31.203125 44.671875 \nz\n\" id=\"DejaVuSans-38\"/>\n        <path d=\"M 5.515625 54.6875 \nL 48.1875 54.6875 \nL 48.1875 46.484375 \nL 14.40625 7.171875 \nL 48.1875 7.171875 \nL 48.1875 0 \nL 4.296875 0 \nL 4.296875 8.203125 \nL 38.09375 47.515625 \nL 5.515625 47.515625 \nz\n\" id=\"DejaVuSans-122\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"77.490234\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"138.769531\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"202.148438\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"265.625\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"297.412109\" xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"360.888672\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"388.671875\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"452.148438\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"515.527344\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"567.626953\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"599.414062\" xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"677.392578\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"709.179688\" xlink:href=\"#DejaVuSans-80\"/>\n       <use x=\"767.732422\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"808.845703\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"870.125\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"929.304688\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"990.828125\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1031.941406\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1063.728516\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1095.515625\" xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"1158.992188\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1198.201172\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1259.382812\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1298.746094\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"1396.158203\" xlink:href=\"#DejaVuSans-122\"/>\n       <use x=\"1448.648438\" xlink:href=\"#DejaVuSans-121\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_19\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"132.591126\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- Run the Jewels 3, Run the Jewels -->\n      <g transform=\"translate(146.451562 136.390345)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 44.390625 34.1875 \nQ 47.5625 33.109375 50.5625 29.59375 \nQ 53.5625 26.078125 56.59375 19.921875 \nL 66.609375 0 \nL 56 0 \nL 46.6875 18.703125 \nQ 43.0625 26.03125 39.671875 28.421875 \nQ 36.28125 30.8125 30.421875 30.8125 \nL 19.671875 30.8125 \nL 19.671875 0 \nL 9.8125 0 \nL 9.8125 72.90625 \nL 32.078125 72.90625 \nQ 44.578125 72.90625 50.734375 67.671875 \nQ 56.890625 62.453125 56.890625 51.90625 \nQ 56.890625 45.015625 53.6875 40.46875 \nQ 50.484375 35.9375 44.390625 34.1875 \nz\nM 19.671875 64.796875 \nL 19.671875 38.921875 \nL 32.078125 38.921875 \nQ 39.203125 38.921875 42.84375 42.21875 \nQ 46.484375 45.515625 46.484375 51.90625 \nQ 46.484375 58.296875 42.84375 61.546875 \nQ 39.203125 64.796875 32.078125 64.796875 \nz\n\" id=\"DejaVuSans-82\"/>\n        <path d=\"M 40.578125 39.3125 \nQ 47.65625 37.796875 51.625 33 \nQ 55.609375 28.21875 55.609375 21.1875 \nQ 55.609375 10.40625 48.1875 4.484375 \nQ 40.765625 -1.421875 27.09375 -1.421875 \nQ 22.515625 -1.421875 17.65625 -0.515625 \nQ 12.796875 0.390625 7.625 2.203125 \nL 7.625 11.71875 \nQ 11.71875 9.328125 16.59375 8.109375 \nQ 21.484375 6.890625 26.8125 6.890625 \nQ 36.078125 6.890625 40.9375 10.546875 \nQ 45.796875 14.203125 45.796875 21.1875 \nQ 45.796875 27.640625 41.28125 31.265625 \nQ 36.765625 34.90625 28.71875 34.90625 \nL 20.21875 34.90625 \nL 20.21875 43.015625 \nL 29.109375 43.015625 \nQ 36.375 43.015625 40.234375 45.921875 \nQ 44.09375 48.828125 44.09375 54.296875 \nQ 44.09375 59.90625 40.109375 62.90625 \nQ 36.140625 65.921875 28.71875 65.921875 \nQ 24.65625 65.921875 20.015625 65.03125 \nQ 15.375 64.15625 9.8125 62.3125 \nL 9.8125 71.09375 \nQ 15.4375 72.65625 20.34375 73.4375 \nQ 25.25 74.21875 29.59375 74.21875 \nQ 40.828125 74.21875 47.359375 69.109375 \nQ 53.90625 64.015625 53.90625 55.328125 \nQ 53.90625 49.265625 50.4375 45.09375 \nQ 46.96875 40.921875 40.578125 39.3125 \nz\n\" id=\"DejaVuSans-51\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-82\"/>\n       <use x=\"64.982422\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"128.361328\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"191.740234\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"223.527344\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"262.736328\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"326.115234\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"387.638672\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"419.425781\" xlink:href=\"#DejaVuSans-74\"/>\n       <use x=\"448.917969\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"510.441406\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"592.228516\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"653.751953\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"681.535156\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"733.634766\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"765.421875\" xlink:href=\"#DejaVuSans-51\"/>\n       <use x=\"829.044922\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"860.832031\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"892.619141\" xlink:href=\"#DejaVuSans-82\"/>\n       <use x=\"957.601562\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"1020.980469\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"1084.359375\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1116.146484\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1155.355469\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"1218.734375\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1280.257812\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1312.044922\" xlink:href=\"#DejaVuSans-74\"/>\n       <use x=\"1341.537109\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1403.060547\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"1484.847656\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1546.371094\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1574.154297\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_20\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"144.995288\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- Stranger Fruit, Zeal &amp; Ardor -->\n      <g transform=\"translate(170.489063 148.794507)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 5.609375 72.90625 \nL 62.890625 72.90625 \nL 62.890625 65.375 \nL 16.796875 8.296875 \nL 64.015625 8.296875 \nL 64.015625 0 \nL 4.5 0 \nL 4.5 7.515625 \nL 50.59375 64.59375 \nL 5.609375 64.59375 \nz\n\" id=\"DejaVuSans-90\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"63.476562\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"102.685547\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"143.798828\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"205.078125\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"268.457031\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"331.933594\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"393.457031\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"434.570312\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"466.357422\" xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"516.626953\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"557.740234\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"621.119141\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"648.902344\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"688.111328\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"719.898438\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"751.685547\" xlink:href=\"#DejaVuSans-90\"/>\n       <use x=\"820.191406\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"881.714844\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"942.994141\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"970.777344\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1002.564453\" xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"1080.542969\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1112.330078\" xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"1180.738281\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1220.101562\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"1283.578125\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1344.759766\" xlink:href=\"#DejaVuSans-114\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_21\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"157.39945\"/>\n      </g>\n     </g>\n     <g id=\"text_16\">\n      <!-- 1988, Knxwledge -->\n      <g transform=\"translate(222.49375 161.198669)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 10.984375 1.515625 \nL 10.984375 10.5 \nQ 14.703125 8.734375 18.5 7.8125 \nQ 22.3125 6.890625 25.984375 6.890625 \nQ 35.75 6.890625 40.890625 13.453125 \nQ 46.046875 20.015625 46.78125 33.40625 \nQ 43.953125 29.203125 39.59375 26.953125 \nQ 35.25 24.703125 29.984375 24.703125 \nQ 19.046875 24.703125 12.671875 31.3125 \nQ 6.296875 37.9375 6.296875 49.421875 \nQ 6.296875 60.640625 12.9375 67.421875 \nQ 19.578125 74.21875 30.609375 74.21875 \nQ 43.265625 74.21875 49.921875 64.515625 \nQ 56.59375 54.828125 56.59375 36.375 \nQ 56.59375 19.140625 48.40625 8.859375 \nQ 40.234375 -1.421875 26.421875 -1.421875 \nQ 22.703125 -1.421875 18.890625 -0.6875 \nQ 15.09375 0.046875 10.984375 1.515625 \nz\nM 30.609375 32.421875 \nQ 37.25 32.421875 41.125 36.953125 \nQ 45.015625 41.5 45.015625 49.421875 \nQ 45.015625 57.28125 41.125 61.84375 \nQ 37.25 66.40625 30.609375 66.40625 \nQ 23.96875 66.40625 20.09375 61.84375 \nQ 16.21875 57.28125 16.21875 49.421875 \nQ 16.21875 41.5 20.09375 36.953125 \nQ 23.96875 32.421875 30.609375 32.421875 \nz\n\" id=\"DejaVuSans-57\"/>\n        <path d=\"M 31.78125 34.625 \nQ 24.75 34.625 20.71875 30.859375 \nQ 16.703125 27.09375 16.703125 20.515625 \nQ 16.703125 13.921875 20.71875 10.15625 \nQ 24.75 6.390625 31.78125 6.390625 \nQ 38.8125 6.390625 42.859375 10.171875 \nQ 46.921875 13.96875 46.921875 20.515625 \nQ 46.921875 27.09375 42.890625 30.859375 \nQ 38.875 34.625 31.78125 34.625 \nz\nM 21.921875 38.8125 \nQ 15.578125 40.375 12.03125 44.71875 \nQ 8.5 49.078125 8.5 55.328125 \nQ 8.5 64.0625 14.71875 69.140625 \nQ 20.953125 74.21875 31.78125 74.21875 \nQ 42.671875 74.21875 48.875 69.140625 \nQ 55.078125 64.0625 55.078125 55.328125 \nQ 55.078125 49.078125 51.53125 44.71875 \nQ 48 40.375 41.703125 38.8125 \nQ 48.828125 37.15625 52.796875 32.3125 \nQ 56.78125 27.484375 56.78125 20.515625 \nQ 56.78125 9.90625 50.3125 4.234375 \nQ 43.84375 -1.421875 31.78125 -1.421875 \nQ 19.734375 -1.421875 13.25 4.234375 \nQ 6.78125 9.90625 6.78125 20.515625 \nQ 6.78125 27.484375 10.78125 32.3125 \nQ 14.796875 37.15625 21.921875 38.8125 \nz\nM 18.3125 54.390625 \nQ 18.3125 48.734375 21.84375 45.5625 \nQ 25.390625 42.390625 31.78125 42.390625 \nQ 38.140625 42.390625 41.71875 45.5625 \nQ 45.3125 48.734375 45.3125 54.390625 \nQ 45.3125 60.0625 41.71875 63.234375 \nQ 38.140625 66.40625 31.78125 66.40625 \nQ 25.390625 66.40625 21.84375 63.234375 \nQ 18.3125 60.0625 18.3125 54.390625 \nz\n\" id=\"DejaVuSans-56\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-57\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-56\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-56\"/>\n       <use x=\"254.492188\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"286.279297\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"318.066406\" xlink:href=\"#DejaVuSans-75\"/>\n       <use x=\"383.642578\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"447.021484\" xlink:href=\"#DejaVuSans-120\"/>\n       <use x=\"506.201172\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"587.988281\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"615.771484\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"677.294922\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"740.771484\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"804.248047\" xlink:href=\"#DejaVuSans-101\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_10\">\n     <g id=\"line2d_22\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"169.803612\"/>\n      </g>\n     </g>\n     <g id=\"text_17\">\n      <!-- Enter the Wu-Tang (36 Chambers), Wu-Tang Clan -->\n      <g transform=\"translate(66.15 173.602831)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 3.328125 72.90625 \nL 13.28125 72.90625 \nL 28.609375 11.28125 \nL 43.890625 72.90625 \nL 54.984375 72.90625 \nL 70.3125 11.28125 \nL 85.59375 72.90625 \nL 95.609375 72.90625 \nL 77.296875 0 \nL 64.890625 0 \nL 49.515625 63.28125 \nL 33.984375 0 \nL 21.578125 0 \nz\n\" id=\"DejaVuSans-87\"/>\n        <path d=\"M 4.890625 31.390625 \nL 31.203125 31.390625 \nL 31.203125 23.390625 \nL 4.890625 23.390625 \nz\n\" id=\"DejaVuSans-45\"/>\n        <path d=\"M 33.015625 40.375 \nQ 26.375 40.375 22.484375 35.828125 \nQ 18.609375 31.296875 18.609375 23.390625 \nQ 18.609375 15.53125 22.484375 10.953125 \nQ 26.375 6.390625 33.015625 6.390625 \nQ 39.65625 6.390625 43.53125 10.953125 \nQ 47.40625 15.53125 47.40625 23.390625 \nQ 47.40625 31.296875 43.53125 35.828125 \nQ 39.65625 40.375 33.015625 40.375 \nz\nM 52.59375 71.296875 \nL 52.59375 62.3125 \nQ 48.875 64.0625 45.09375 64.984375 \nQ 41.3125 65.921875 37.59375 65.921875 \nQ 27.828125 65.921875 22.671875 59.328125 \nQ 17.53125 52.734375 16.796875 39.40625 \nQ 19.671875 43.65625 24.015625 45.921875 \nQ 28.375 48.1875 33.59375 48.1875 \nQ 44.578125 48.1875 50.953125 41.515625 \nQ 57.328125 34.859375 57.328125 23.390625 \nQ 57.328125 12.15625 50.6875 5.359375 \nQ 44.046875 -1.421875 33.015625 -1.421875 \nQ 20.359375 -1.421875 13.671875 8.265625 \nQ 6.984375 17.96875 6.984375 36.375 \nQ 6.984375 53.65625 15.1875 63.9375 \nQ 23.390625 74.21875 37.203125 74.21875 \nQ 40.921875 74.21875 44.703125 73.484375 \nQ 48.484375 72.75 52.59375 71.296875 \nz\n\" id=\"DejaVuSans-54\"/>\n        <path d=\"M 64.40625 67.28125 \nL 64.40625 56.890625 \nQ 59.421875 61.53125 53.78125 63.8125 \nQ 48.140625 66.109375 41.796875 66.109375 \nQ 29.296875 66.109375 22.65625 58.46875 \nQ 16.015625 50.828125 16.015625 36.375 \nQ 16.015625 21.96875 22.65625 14.328125 \nQ 29.296875 6.6875 41.796875 6.6875 \nQ 48.140625 6.6875 53.78125 8.984375 \nQ 59.421875 11.28125 64.40625 15.921875 \nL 64.40625 5.609375 \nQ 59.234375 2.09375 53.4375 0.328125 \nQ 47.65625 -1.421875 41.21875 -1.421875 \nQ 24.65625 -1.421875 15.125 8.703125 \nQ 5.609375 18.84375 5.609375 36.375 \nQ 5.609375 53.953125 15.125 64.078125 \nQ 24.65625 74.21875 41.21875 74.21875 \nQ 47.75 74.21875 53.53125 72.484375 \nQ 59.328125 70.75 64.40625 67.28125 \nz\n\" id=\"DejaVuSans-67\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-69\"/>\n       <use x=\"63.183594\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"126.5625\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"165.771484\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"227.294922\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"268.408203\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"300.195312\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"339.404297\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"402.783203\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"464.306641\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"496.09375\" xlink:href=\"#DejaVuSans-87\"/>\n       <use x=\"591.345703\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"654.724609\" xlink:href=\"#DejaVuSans-45\"/>\n       <use x=\"681.683594\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"726.267578\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"787.546875\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"850.925781\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"914.402344\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"946.189453\" xlink:href=\"#DejaVuSans-40\"/>\n       <use x=\"985.203125\" xlink:href=\"#DejaVuSans-51\"/>\n       <use x=\"1048.826172\" xlink:href=\"#DejaVuSans-54\"/>\n       <use x=\"1112.449219\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1144.236328\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"1214.060547\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"1277.439453\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1338.71875\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"1436.130859\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"1499.607422\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1561.130859\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1602.244141\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1654.34375\" xlink:href=\"#DejaVuSans-41\"/>\n       <use x=\"1693.357422\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1725.144531\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1756.931641\" xlink:href=\"#DejaVuSans-87\"/>\n       <use x=\"1852.183594\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"1915.5625\" xlink:href=\"#DejaVuSans-45\"/>\n       <use x=\"1942.521484\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"1987.105469\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"2048.384766\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"2111.763672\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"2175.240234\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"2207.027344\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"2276.851562\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"2304.634766\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"2365.914062\" xlink:href=\"#DejaVuSans-110\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_11\">\n     <g id=\"line2d_23\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"182.207775\"/>\n      </g>\n     </g>\n     <g id=\"text_18\">\n      <!-- All These Countless Nights, Deaf Havana -->\n      <g transform=\"translate(104.8625 186.006993)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 9.8125 72.90625 \nL 23.09375 72.90625 \nL 55.421875 11.921875 \nL 55.421875 72.90625 \nL 64.984375 72.90625 \nL 64.984375 0 \nL 51.703125 0 \nL 19.390625 60.984375 \nL 19.390625 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-78\"/>\n        <path d=\"M 2.984375 54.6875 \nL 12.5 54.6875 \nL 29.59375 8.796875 \nL 46.6875 54.6875 \nL 56.203125 54.6875 \nL 35.6875 0 \nL 23.484375 0 \nz\n\" id=\"DejaVuSans-118\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"68.408203\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"96.191406\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"123.974609\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"155.761719\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"216.845703\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"280.224609\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"341.748047\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"393.847656\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"455.371094\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"487.158203\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"556.982422\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"618.164062\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"681.542969\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"744.921875\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"784.130859\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"811.914062\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"873.4375\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"925.537109\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"977.636719\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1009.423828\" xlink:href=\"#DejaVuSans-78\"/>\n       <use x=\"1084.228516\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1112.011719\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"1175.488281\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"1238.867188\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1278.076172\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1330.175781\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1361.962891\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1393.75\" xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"1470.751953\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1532.275391\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1593.554688\" xlink:href=\"#DejaVuSans-102\"/>\n       <use x=\"1628.759766\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1660.546875\" xlink:href=\"#DejaVuSans-72\"/>\n       <use x=\"1735.742188\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1797.021484\" xlink:href=\"#DejaVuSans-118\"/>\n       <use x=\"1856.201172\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1917.480469\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"1980.859375\" xlink:href=\"#DejaVuSans-97\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_12\">\n     <g id=\"line2d_24\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"194.611937\"/>\n      </g>\n     </g>\n     <g id=\"text_19\">\n      <!-- Fools and Worthless Liars, Deaf Havana -->\n      <g transform=\"translate(110.978125 198.411155)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"53.894531\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"115.076172\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"176.257812\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"204.041016\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"256.140625\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"287.927734\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"349.207031\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"412.585938\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"476.0625\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"507.849609\" xlink:href=\"#DejaVuSans-87\"/>\n       <use x=\"600.851562\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"662.033203\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"703.146484\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"742.355469\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"805.734375\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"833.517578\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"895.041016\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"947.140625\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"999.240234\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1031.027344\" xlink:href=\"#DejaVuSans-76\"/>\n       <use x=\"1086.740234\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1114.523438\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1175.802734\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1216.916016\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1269.015625\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1300.802734\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1332.589844\" xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"1409.591797\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1471.115234\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1532.394531\" xlink:href=\"#DejaVuSans-102\"/>\n       <use x=\"1567.599609\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1599.386719\" xlink:href=\"#DejaVuSans-72\"/>\n       <use x=\"1674.582031\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1735.861328\" xlink:href=\"#DejaVuSans-118\"/>\n       <use x=\"1795.041016\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1856.320312\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"1919.699219\" xlink:href=\"#DejaVuSans-97\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_13\">\n     <g id=\"line2d_25\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"207.016099\"/>\n      </g>\n     </g>\n     <g id=\"text_20\">\n      <!-- Yesterday's Gone, Loyle Carner -->\n      <g transform=\"translate(153.48125 210.815317)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M -0.203125 72.90625 \nL 10.40625 72.90625 \nL 30.609375 42.921875 \nL 50.6875 72.90625 \nL 61.28125 72.90625 \nL 35.5 34.71875 \nL 35.5 0 \nL 25.59375 0 \nL 25.59375 34.71875 \nz\n\" id=\"DejaVuSans-89\"/>\n        <path d=\"M 17.921875 72.90625 \nL 17.921875 45.796875 \nL 9.625 45.796875 \nL 9.625 72.90625 \nz\n\" id=\"DejaVuSans-39\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-89\"/>\n       <use x=\"47.833984\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"109.357422\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"161.457031\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"200.666016\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"262.189453\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"301.552734\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"365.029297\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"426.308594\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"485.488281\" xlink:href=\"#DejaVuSans-39\"/>\n       <use x=\"512.978516\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"565.078125\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"596.865234\" xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"674.355469\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"735.537109\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"798.916016\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"860.439453\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"892.226562\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"924.013672\" xlink:href=\"#DejaVuSans-76\"/>\n       <use x=\"977.976562\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1039.158203\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"1098.337891\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1126.121094\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1187.644531\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1219.431641\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"1289.255859\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1350.535156\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1389.898438\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"1453.277344\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1514.800781\" xlink:href=\"#DejaVuSans-114\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_14\">\n     <g id=\"line2d_26\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"219.420261\"/>\n      </g>\n     </g>\n     <g id=\"text_21\">\n      <!-- Settle (Special Edition), Disclosure -->\n      <g transform=\"translate(136.982812 223.21948)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"63.476562\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"125\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"164.208984\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"203.417969\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"231.201172\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"292.724609\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"324.511719\" xlink:href=\"#DejaVuSans-40\"/>\n       <use x=\"363.525391\" xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"427.001953\" xlink:href=\"#DejaVuSans-112\"/>\n       <use x=\"490.478516\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"552.001953\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"606.982422\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"634.765625\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"696.044922\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"723.828125\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"755.615234\" xlink:href=\"#DejaVuSans-69\"/>\n       <use x=\"818.798828\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"882.275391\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"910.058594\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"949.267578\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"977.050781\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1038.232422\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"1101.611328\" xlink:href=\"#DejaVuSans-41\"/>\n       <use x=\"1140.625\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1172.412109\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1204.199219\" xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"1281.201172\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1308.984375\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1361.083984\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"1416.064453\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1443.847656\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1505.029297\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1557.128906\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"1620.507812\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1659.371094\" xlink:href=\"#DejaVuSans-101\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_15\">\n     <g id=\"line2d_27\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"231.824423\"/>\n      </g>\n     </g>\n     <g id=\"text_22\">\n      <!-- Bandana, Freddie Gibbs -->\n      <g transform=\"translate(190.14375 235.623642)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"68.603516\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"129.882812\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"193.261719\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"256.738281\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"318.017578\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"381.396484\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"442.675781\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"474.462891\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"506.25\" xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"556.519531\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"595.382812\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"656.90625\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"720.382812\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"783.859375\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"811.642578\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"873.166016\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"904.953125\" xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"982.443359\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1010.226562\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"1073.703125\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"1137.179688\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_16\">\n     <g id=\"line2d_28\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"244.228585\"/>\n      </g>\n     </g>\n     <g id=\"text_23\">\n      <!-- Ready To Die The Remaster, The Notorious B.I.G. -->\n      <g transform=\"translate(65.045312 248.027804)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 9.8125 72.90625 \nL 19.671875 72.90625 \nL 19.671875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-73\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-82\"/>\n       <use x=\"64.982422\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"126.505859\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"187.785156\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"251.261719\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"310.441406\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"342.228516\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"386.3125\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"447.494141\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"479.28125\" xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"556.283203\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"584.066406\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"645.589844\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"677.376953\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"738.460938\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"801.839844\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"863.363281\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"895.150391\" xlink:href=\"#DejaVuSans-82\"/>\n       <use x=\"960.132812\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1021.65625\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"1119.068359\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1180.347656\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1232.447266\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1271.65625\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1333.179688\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1374.292969\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1406.080078\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1437.867188\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"1498.951172\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"1562.330078\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1623.853516\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1655.640625\" xlink:href=\"#DejaVuSans-78\"/>\n       <use x=\"1730.445312\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1791.626953\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1830.835938\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1892.017578\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1933.130859\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1960.914062\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"2022.095703\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"2085.474609\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"2137.574219\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"2169.361328\" xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"2237.964844\" xlink:href=\"#DejaVuSans-46\"/>\n       <use x=\"2269.751953\" xlink:href=\"#DejaVuSans-73\"/>\n       <use x=\"2299.244141\" xlink:href=\"#DejaVuSans-46\"/>\n       <use x=\"2331.03125\" xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"2408.521484\" xlink:href=\"#DejaVuSans-46\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_17\">\n     <g id=\"line2d_29\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"256.632747\"/>\n      </g>\n     </g>\n     <g id=\"text_24\">\n      <!-- DiCaprIo 2, Jid -->\n      <g transform=\"translate(237.982813 260.431966)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"77.001953\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"104.785156\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"174.609375\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"235.888672\" xlink:href=\"#DejaVuSans-112\"/>\n       <use x=\"299.365234\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"340.478516\" xlink:href=\"#DejaVuSans-73\"/>\n       <use x=\"369.970703\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"431.152344\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"462.939453\" xlink:href=\"#DejaVuSans-50\"/>\n       <use x=\"526.5625\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"558.349609\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"590.136719\" xlink:href=\"#DejaVuSans-74\"/>\n       <use x=\"619.628906\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"647.412109\" xlink:href=\"#DejaVuSans-100\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_18\">\n     <g id=\"line2d_30\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"269.036909\"/>\n      </g>\n     </g>\n     <g id=\"text_25\">\n      <!-- Freddie, Freddie Gibbs -->\n      <g transform=\"translate(197.71875 272.836128)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"50.269531\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"89.132812\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"150.65625\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"214.132812\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"277.609375\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"305.392578\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"366.916016\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"398.703125\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"430.490234\" xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"480.759766\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"519.623047\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"581.146484\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"644.623047\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"708.099609\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"735.882812\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"797.40625\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"829.193359\" xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"906.683594\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"934.466797\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"997.943359\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"1061.419922\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_19\">\n     <g id=\"line2d_31\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"281.441071\"/>\n      </g>\n     </g>\n     <g id=\"text_26\">\n      <!-- Original Pirate Material, The Streets -->\n      <g transform=\"translate(130.342187 285.24029)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 39.40625 66.21875 \nQ 28.65625 66.21875 22.328125 58.203125 \nQ 16.015625 50.203125 16.015625 36.375 \nQ 16.015625 22.609375 22.328125 14.59375 \nQ 28.65625 6.59375 39.40625 6.59375 \nQ 50.140625 6.59375 56.421875 14.59375 \nQ 62.703125 22.609375 62.703125 36.375 \nQ 62.703125 50.203125 56.421875 58.203125 \nQ 50.140625 66.21875 39.40625 66.21875 \nz\nM 39.40625 74.21875 \nQ 54.734375 74.21875 63.90625 63.9375 \nQ 73.09375 53.65625 73.09375 36.375 \nQ 73.09375 19.140625 63.90625 8.859375 \nQ 54.734375 -1.421875 39.40625 -1.421875 \nQ 24.03125 -1.421875 14.8125 8.828125 \nQ 5.609375 19.09375 5.609375 36.375 \nQ 5.609375 53.65625 14.8125 63.9375 \nQ 24.03125 74.21875 39.40625 74.21875 \nz\n\" id=\"DejaVuSans-79\"/>\n        <path d=\"M 9.8125 72.90625 \nL 24.515625 72.90625 \nL 43.109375 23.296875 \nL 61.8125 72.90625 \nL 76.515625 72.90625 \nL 76.515625 0 \nL 66.890625 0 \nL 66.890625 64.015625 \nL 48.09375 14.015625 \nL 38.1875 14.015625 \nL 19.390625 64.015625 \nL 19.390625 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-77\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-79\"/>\n       <use x=\"78.710938\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"119.824219\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"147.607422\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"211.083984\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"238.867188\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"302.246094\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"363.525391\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"391.308594\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"423.095703\" xlink:href=\"#DejaVuSans-80\"/>\n       <use x=\"481.148438\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"508.931641\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"550.044922\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"611.324219\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"650.533203\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"712.056641\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"743.84375\" xlink:href=\"#DejaVuSans-77\"/>\n       <use x=\"830.123047\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"891.402344\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"930.611328\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"992.134766\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1033.248047\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1061.03125\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1122.310547\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1150.09375\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1181.880859\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1213.667969\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"1274.751953\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"1338.130859\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1399.654297\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1431.441406\" xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"1494.917969\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1534.126953\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1572.990234\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1634.513672\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1696.037109\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1735.246094\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_20\">\n     <g id=\"line2d_32\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"293.845233\"/>\n      </g>\n     </g>\n     <g id=\"text_27\">\n      <!-- Sirens (Deluxe), Gorgon City -->\n      <g transform=\"translate(166.909375 297.644452)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"63.476562\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"91.259766\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"130.123047\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"191.646484\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"255.025391\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"307.125\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"338.912109\" xlink:href=\"#DejaVuSans-40\"/>\n       <use x=\"377.925781\" xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"454.927734\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"516.451172\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"544.234375\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"607.613281\" xlink:href=\"#DejaVuSans-120\"/>\n       <use x=\"663.667969\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"725.191406\" xlink:href=\"#DejaVuSans-41\"/>\n       <use x=\"764.205078\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"795.992188\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"827.779297\" xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"905.269531\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"966.451172\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1005.814453\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"1069.291016\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1130.472656\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"1193.851562\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1225.638672\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"1295.462891\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1323.246094\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1362.455078\" xlink:href=\"#DejaVuSans-121\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_21\">\n     <g id=\"line2d_33\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"306.249396\"/>\n      </g>\n     </g>\n     <g id=\"text_28\">\n      <!-- Hi This Is Flume (Mixtape), Flume -->\n      <g transform=\"translate(141.914062 310.048614)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-72\"/>\n       <use x=\"75.195312\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"102.978516\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"134.765625\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"195.849609\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"259.228516\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"287.011719\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"339.111328\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"370.898438\" xlink:href=\"#DejaVuSans-73\"/>\n       <use x=\"400.390625\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"452.490234\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"484.277344\" xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"541.796875\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"569.580078\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"632.958984\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"730.371094\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"791.894531\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"823.681641\" xlink:href=\"#DejaVuSans-40\"/>\n       <use x=\"862.695312\" xlink:href=\"#DejaVuSans-77\"/>\n       <use x=\"948.974609\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"976.757812\" xlink:href=\"#DejaVuSans-120\"/>\n       <use x=\"1035.9375\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1075.146484\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1136.425781\" xlink:href=\"#DejaVuSans-112\"/>\n       <use x=\"1199.902344\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1261.425781\" xlink:href=\"#DejaVuSans-41\"/>\n       <use x=\"1300.439453\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1332.226562\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1364.013672\" xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"1421.533203\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1449.316406\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"1512.695312\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"1610.107422\" xlink:href=\"#DejaVuSans-101\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_22\">\n     <g id=\"line2d_34\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"318.653558\"/>\n      </g>\n     </g>\n     <g id=\"text_29\">\n      <!-- DAMN., Kendrick Lamar -->\n      <g transform=\"translate(191.13125 322.452776)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"75.251953\" xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"143.660156\" xlink:href=\"#DejaVuSans-77\"/>\n       <use x=\"229.939453\" xlink:href=\"#DejaVuSans-78\"/>\n       <use x=\"304.744141\" xlink:href=\"#DejaVuSans-46\"/>\n       <use x=\"336.53125\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"368.318359\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"400.105469\" xlink:href=\"#DejaVuSans-75\"/>\n       <use x=\"460.681641\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"522.205078\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"585.583984\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"649.060547\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"690.173828\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"717.957031\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"772.9375\" xlink:href=\"#DejaVuSans-107\"/>\n       <use x=\"830.847656\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"862.634766\" xlink:href=\"#DejaVuSans-76\"/>\n       <use x=\"918.347656\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"979.626953\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"1077.039062\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1138.318359\" xlink:href=\"#DejaVuSans-114\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_23\">\n     <g id=\"line2d_35\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"331.05772\"/>\n      </g>\n     </g>\n     <g id=\"text_30\">\n      <!-- Anthology, Knxwledge -->\n      <g transform=\"translate(197.225 334.856938)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"68.408203\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"131.787109\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"170.996094\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"234.375\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"295.556641\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"323.339844\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"384.521484\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"447.998047\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"507.177734\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"538.964844\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"570.751953\" xlink:href=\"#DejaVuSans-75\"/>\n       <use x=\"636.328125\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"699.707031\" xlink:href=\"#DejaVuSans-120\"/>\n       <use x=\"758.886719\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"840.673828\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"868.457031\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"929.980469\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"993.457031\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"1056.933594\" xlink:href=\"#DejaVuSans-101\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_24\">\n     <g id=\"line2d_36\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"343.461882\"/>\n      </g>\n     </g>\n     <g id=\"text_31\">\n      <!-- Escape, Gorgon City -->\n      <g transform=\"translate(207.675 347.261101)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-69\"/>\n       <use x=\"63.183594\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"115.283203\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"170.263672\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"231.542969\" xlink:href=\"#DejaVuSans-112\"/>\n       <use x=\"295.019531\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"356.542969\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"388.330078\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"420.117188\" xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"497.607422\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"558.789062\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"598.152344\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"661.628906\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"722.810547\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"786.189453\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"817.976562\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"887.800781\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"915.583984\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"954.792969\" xlink:href=\"#DejaVuSans-121\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_25\">\n     <g id=\"line2d_37\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"355.866044\"/>\n      </g>\n     </g>\n     <g id=\"text_32\">\n      <!-- Let Them Eat Chaos, Kate Tempest -->\n      <g transform=\"translate(134.534375 359.665263)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-76\"/>\n       <use x=\"53.962891\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"115.486328\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"154.695312\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"186.482422\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"247.566406\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"310.945312\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"372.46875\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"469.880859\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"501.667969\" xlink:href=\"#DejaVuSans-69\"/>\n       <use x=\"564.851562\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"626.130859\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"665.339844\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"697.126953\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"766.951172\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"830.330078\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"891.609375\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"952.791016\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1004.890625\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1036.677734\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1068.464844\" xlink:href=\"#DejaVuSans-75\"/>\n       <use x=\"1132.291016\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1193.570312\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1232.779297\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1294.302734\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1326.089844\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"1370.173828\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1431.697266\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"1529.109375\" xlink:href=\"#DejaVuSans-112\"/>\n       <use x=\"1592.585938\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1654.109375\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1706.208984\" xlink:href=\"#DejaVuSans-116\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_26\">\n     <g id=\"line2d_38\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"368.270206\"/>\n      </g>\n     </g>\n     <g id=\"text_33\">\n      <!-- Flamagra, Flying Lotus -->\n      <g transform=\"translate(195.529688 372.069425)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"57.519531\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"85.302734\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"146.582031\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"243.994141\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"305.273438\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"368.75\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"409.863281\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"471.142578\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"502.929688\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"534.716797\" xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"592.236328\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"620.019531\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"679.199219\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"706.982422\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"770.361328\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"833.837891\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"865.625\" xlink:href=\"#DejaVuSans-76\"/>\n       <use x=\"919.587891\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"980.769531\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1019.978516\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"1083.357422\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_27\">\n     <g id=\"line2d_39\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"380.674368\"/>\n      </g>\n     </g>\n     <g id=\"text_34\">\n      <!-- Christmas (Deluxe Special Edition), Michael Bublé -->\n      <g transform=\"translate(59.64375 384.673587)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 56.203125 29.59375 \nL 56.203125 25.203125 \nL 14.890625 25.203125 \nQ 15.484375 15.921875 20.484375 11.0625 \nQ 25.484375 6.203125 34.421875 6.203125 \nQ 39.59375 6.203125 44.453125 7.46875 \nQ 49.3125 8.734375 54.109375 11.28125 \nL 54.109375 2.78125 \nQ 49.265625 0.734375 44.1875 -0.34375 \nQ 39.109375 -1.421875 33.890625 -1.421875 \nQ 20.796875 -1.421875 13.15625 6.1875 \nQ 5.515625 13.8125 5.515625 26.8125 \nQ 5.515625 40.234375 12.765625 48.109375 \nQ 20.015625 56 32.328125 56 \nQ 43.359375 56 49.78125 48.890625 \nQ 56.203125 41.796875 56.203125 29.59375 \nz\nM 47.21875 32.234375 \nQ 47.125 39.59375 43.09375 43.984375 \nQ 39.0625 48.390625 32.421875 48.390625 \nQ 24.90625 48.390625 20.390625 44.140625 \nQ 15.875 39.890625 15.1875 32.171875 \nz\nM 38.53125 79.984375 \nL 48.25 79.984375 \nL 32.34375 61.625 \nL 24.859375 61.625 \nz\n\" id=\"DejaVuSans-233\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"69.824219\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"133.203125\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"174.316406\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"202.099609\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"254.199219\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"293.408203\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"390.820312\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"452.099609\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"504.199219\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"535.986328\" xlink:href=\"#DejaVuSans-40\"/>\n       <use x=\"575\" xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"652.001953\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"713.525391\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"741.308594\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"804.6875\" xlink:href=\"#DejaVuSans-120\"/>\n       <use x=\"860.742188\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"922.265625\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"954.052734\" xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"1017.529297\" xlink:href=\"#DejaVuSans-112\"/>\n       <use x=\"1081.005859\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1142.529297\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"1197.509766\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1225.292969\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1286.572266\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1314.355469\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1346.142578\" xlink:href=\"#DejaVuSans-69\"/>\n       <use x=\"1409.326172\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"1472.802734\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1500.585938\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1539.794922\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1567.578125\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1628.759766\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"1692.138672\" xlink:href=\"#DejaVuSans-41\"/>\n       <use x=\"1731.152344\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1762.939453\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1794.726562\" xlink:href=\"#DejaVuSans-77\"/>\n       <use x=\"1881.005859\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1908.789062\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"1963.769531\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"2027.148438\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"2088.427734\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"2149.951172\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"2177.734375\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"2209.521484\" xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"2278.125\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"2341.503906\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"2404.980469\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"2432.763672\" xlink:href=\"#DejaVuSans-233\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_28\">\n     <g id=\"line2d_40\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"393.07853\"/>\n      </g>\n     </g>\n     <g id=\"text_35\">\n      <!-- Fetti, Curren$y -->\n      <g transform=\"translate(234.829688 396.877749)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 33.796875 -14.703125 \nL 28.90625 -14.703125 \nL 28.859375 0 \nQ 23.734375 0.09375 18.609375 1.1875 \nQ 13.484375 2.296875 8.296875 4.5 \nL 8.296875 13.28125 \nQ 13.28125 10.15625 18.375 8.5625 \nQ 23.484375 6.984375 28.90625 6.9375 \nL 28.90625 29.203125 \nQ 18.109375 30.953125 13.203125 35.15625 \nQ 8.296875 39.359375 8.296875 46.6875 \nQ 8.296875 54.640625 13.625 59.21875 \nQ 18.953125 63.8125 28.90625 64.5 \nL 28.90625 75.984375 \nL 33.796875 75.984375 \nL 33.796875 64.65625 \nQ 38.328125 64.453125 42.578125 63.6875 \nQ 46.828125 62.9375 50.875 61.625 \nL 50.875 53.078125 \nQ 46.828125 55.125 42.546875 56.25 \nQ 38.28125 57.375 33.796875 57.5625 \nL 33.796875 36.71875 \nQ 44.875 35.015625 50.09375 30.609375 \nQ 55.328125 26.21875 55.328125 18.609375 \nQ 55.328125 10.359375 49.78125 5.59375 \nQ 44.234375 0.828125 33.796875 0.09375 \nz\nM 28.90625 37.59375 \nL 28.90625 57.625 \nQ 23.25 56.984375 20.265625 54.390625 \nQ 17.28125 51.8125 17.28125 47.515625 \nQ 17.28125 43.3125 20.03125 40.96875 \nQ 22.796875 38.625 28.90625 37.59375 \nz\nM 33.796875 28.21875 \nL 33.796875 7.078125 \nQ 39.984375 7.90625 43.140625 10.59375 \nQ 46.296875 13.28125 46.296875 17.671875 \nQ 46.296875 21.96875 43.28125 24.5 \nQ 40.28125 27.046875 33.796875 28.21875 \nz\n\" id=\"DejaVuSans-36\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"52.019531\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"113.542969\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"152.751953\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"191.960938\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"219.744141\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"251.53125\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"283.318359\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"353.142578\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"416.521484\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"455.884766\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"494.748047\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"556.271484\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"619.650391\" xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"683.273438\" xlink:href=\"#DejaVuSans-121\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_29\">\n     <g id=\"line2d_41\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"405.482692\"/>\n      </g>\n     </g>\n     <g id=\"text_36\">\n      <!-- Bandana Beats, Freddie Gibbs -->\n      <g transform=\"translate(158.69375 409.281911)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"68.603516\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"129.882812\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"193.261719\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"256.738281\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"318.017578\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"381.396484\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"442.675781\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"474.462891\" xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"543.066406\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"604.589844\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"665.869141\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"705.078125\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"757.177734\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"788.964844\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"820.751953\" xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"871.021484\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"909.884766\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"971.408203\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"1034.884766\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"1098.361328\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1126.144531\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1187.667969\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1219.455078\" xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"1296.945312\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1324.728516\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"1388.205078\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"1451.681641\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_30\">\n     <g id=\"line2d_42\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"417.886854\"/>\n      </g>\n     </g>\n     <g id=\"text_37\">\n      <!-- Problems EP, Dawn Wall -->\n      <g transform=\"translate(188.645312 421.686073)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-80\"/>\n       <use x=\"58.552734\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"97.416016\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"158.597656\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"222.074219\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"249.857422\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"311.380859\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"408.792969\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"460.892578\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"492.679688\" xlink:href=\"#DejaVuSans-69\"/>\n       <use x=\"555.863281\" xlink:href=\"#DejaVuSans-80\"/>\n       <use x=\"616.166016\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"647.953125\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"679.740234\" xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"756.742188\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"818.021484\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"899.808594\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"963.1875\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"994.974609\" xlink:href=\"#DejaVuSans-87\"/>\n       <use x=\"1087.476562\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1148.755859\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1176.539062\" xlink:href=\"#DejaVuSans-108\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_31\">\n     <g id=\"line2d_43\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"430.291017\"/>\n      </g>\n     </g>\n     <g id=\"text_38\">\n      <!-- Twin Falls, Dawn Wall -->\n      <g transform=\"translate(203.598437 434.090235)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"44.583984\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"126.371094\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"154.154297\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"217.533203\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"249.320312\" xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"297.714844\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"358.994141\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"386.777344\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"414.560547\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"466.660156\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"498.447266\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"530.234375\" xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"607.236328\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"668.515625\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"750.302734\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"813.681641\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"845.46875\" xlink:href=\"#DejaVuSans-87\"/>\n       <use x=\"937.970703\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"999.25\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1027.033203\" xlink:href=\"#DejaVuSans-108\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_32\">\n     <g id=\"line2d_44\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"442.695179\"/>\n      </g>\n     </g>\n     <g id=\"text_39\">\n      <!-- In Colour, Jamie xx -->\n      <g transform=\"translate(215.039062 446.494397)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-73\"/>\n       <use x=\"29.492188\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"92.871094\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"124.658203\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"194.482422\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"255.664062\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"283.447266\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"344.628906\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"408.007812\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"449.121094\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"480.908203\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"512.695312\" xlink:href=\"#DejaVuSans-74\"/>\n       <use x=\"542.1875\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"603.466797\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"700.878906\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"728.662109\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"790.185547\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"821.972656\" xlink:href=\"#DejaVuSans-120\"/>\n       <use x=\"881.152344\" xlink:href=\"#DejaVuSans-120\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_33\">\n     <g id=\"line2d_45\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"455.099341\"/>\n      </g>\n     </g>\n     <g id=\"text_40\">\n      <!-- Tayi Bebba, Clap! Clap! -->\n      <g transform=\"translate(192.745313 458.89856)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 15.09375 12.40625 \nL 25 12.40625 \nL 25 0 \nL 15.09375 0 \nz\nM 15.09375 72.90625 \nL 25 72.90625 \nL 25 40.921875 \nL 24.03125 23.484375 \nL 16.109375 23.484375 \nL 15.09375 40.921875 \nz\n\" id=\"DejaVuSans-33\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"44.583984\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"105.863281\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"165.042969\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"192.826172\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"224.613281\" xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"293.216797\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"354.740234\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"418.216797\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"481.693359\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"542.972656\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"574.759766\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"606.546875\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"676.371094\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"704.154297\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"765.433594\" xlink:href=\"#DejaVuSans-112\"/>\n       <use x=\"828.910156\" xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"868.998047\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"900.785156\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"970.609375\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"998.392578\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1059.671875\" xlink:href=\"#DejaVuSans-112\"/>\n       <use x=\"1123.148438\" xlink:href=\"#DejaVuSans-33\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_34\">\n     <g id=\"line2d_46\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"467.503503\"/>\n      </g>\n     </g>\n     <g id=\"text_41\">\n      <!-- Point Pleasant, Brock Berrigan -->\n      <g transform=\"translate(158.046875 471.302722)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-80\"/>\n       <use x=\"56.677734\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"117.859375\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"145.642578\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"209.021484\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"248.230469\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"280.017578\" xlink:href=\"#DejaVuSans-80\"/>\n       <use x=\"340.320312\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"368.103516\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"429.626953\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"490.90625\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"543.005859\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"604.285156\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"667.664062\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"706.873047\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"738.660156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"770.447266\" xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"839.050781\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"877.914062\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"939.095703\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"994.076172\" xlink:href=\"#DejaVuSans-107\"/>\n       <use x=\"1051.986328\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1083.773438\" xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"1152.376953\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1213.900391\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1253.263672\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1294.376953\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1322.160156\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"1385.636719\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1446.916016\" xlink:href=\"#DejaVuSans-110\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_35\">\n     <g id=\"line2d_47\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"479.907665\"/>\n      </g>\n     </g>\n     <g id=\"text_42\">\n      <!-- Kids See Ghosts, Kids See Ghosts -->\n      <g transform=\"translate(141.820312 483.706884)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-75\"/>\n       <use x=\"65.576172\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"93.359375\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"156.835938\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"208.935547\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"240.722656\" xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"304.199219\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"365.722656\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"427.246094\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"459.033203\" xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"536.523438\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"599.902344\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"661.083984\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"713.183594\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"752.392578\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"804.492188\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"836.279297\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"868.066406\" xlink:href=\"#DejaVuSans-75\"/>\n       <use x=\"933.642578\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"961.425781\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"1024.902344\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1077.001953\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1108.789062\" xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"1172.265625\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1233.789062\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1295.3125\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1327.099609\" xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"1404.589844\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"1467.96875\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1529.150391\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1581.25\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1620.458984\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_36\">\n     <g id=\"line2d_48\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"492.311827\"/>\n      </g>\n     </g>\n     <g id=\"text_43\">\n      <!-- RITUALS, Deaf Havana -->\n      <g transform=\"translate(195.790625 496.111046)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 8.6875 72.90625 \nL 18.609375 72.90625 \nL 18.609375 28.609375 \nQ 18.609375 16.890625 22.84375 11.734375 \nQ 27.09375 6.59375 36.625 6.59375 \nQ 46.09375 6.59375 50.34375 11.734375 \nQ 54.59375 16.890625 54.59375 28.609375 \nL 54.59375 72.90625 \nL 64.5 72.90625 \nL 64.5 27.390625 \nQ 64.5 13.140625 57.4375 5.859375 \nQ 50.390625 -1.421875 36.625 -1.421875 \nQ 22.796875 -1.421875 15.734375 5.859375 \nQ 8.6875 13.140625 8.6875 27.390625 \nz\n\" id=\"DejaVuSans-85\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-82\"/>\n       <use x=\"69.482422\" xlink:href=\"#DejaVuSans-73\"/>\n       <use x=\"98.974609\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"160.058594\" xlink:href=\"#DejaVuSans-85\"/>\n       <use x=\"233.251953\" xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"301.660156\" xlink:href=\"#DejaVuSans-76\"/>\n       <use x=\"357.373047\" xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"420.849609\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"452.636719\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"484.423828\" xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"561.425781\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"622.949219\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"684.228516\" xlink:href=\"#DejaVuSans-102\"/>\n       <use x=\"719.433594\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"751.220703\" xlink:href=\"#DejaVuSans-72\"/>\n       <use x=\"826.416016\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"887.695312\" xlink:href=\"#DejaVuSans-118\"/>\n       <use x=\"946.875\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1008.154297\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"1071.533203\" xlink:href=\"#DejaVuSans-97\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_37\">\n     <g id=\"line2d_49\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"504.715989\"/>\n      </g>\n     </g>\n     <g id=\"text_44\">\n      <!-- Without Warning, 21 Savage -->\n      <g transform=\"translate(166.420312 508.515208)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-87\"/>\n       <use x=\"96.626953\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"124.410156\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"163.619141\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"226.998047\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"288.179688\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"351.558594\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"390.767578\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"422.554688\" xlink:href=\"#DejaVuSans-87\"/>\n       <use x=\"515.056641\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"576.335938\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"615.699219\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"679.078125\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"706.861328\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"770.240234\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"833.716797\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"865.503906\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"897.291016\" xlink:href=\"#DejaVuSans-50\"/>\n       <use x=\"960.914062\" xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"1024.537109\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1056.324219\" xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"1119.800781\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1181.080078\" xlink:href=\"#DejaVuSans-118\"/>\n       <use x=\"1240.259766\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1301.539062\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"1365.015625\" xlink:href=\"#DejaVuSans-101\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_38\">\n     <g id=\"line2d_50\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"517.120151\"/>\n      </g>\n     </g>\n     <g id=\"text_45\">\n      <!-- Avantdale Bowling Club, Avantdale Bowling Club -->\n      <g transform=\"translate(66.379687 520.91937)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"62.533203\" xlink:href=\"#DejaVuSans-118\"/>\n       <use x=\"121.712891\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"182.992188\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"246.371094\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"285.580078\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"349.056641\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"410.335938\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"438.119141\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"499.642578\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"531.429688\" xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"600.033203\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"661.214844\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"743.001953\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"770.785156\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"798.568359\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"861.947266\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"925.423828\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"957.210938\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"1027.035156\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1054.818359\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"1118.197266\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"1181.673828\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1213.460938\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1245.248047\" xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"1307.78125\" xlink:href=\"#DejaVuSans-118\"/>\n       <use x=\"1366.960938\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1428.240234\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"1491.619141\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1530.828125\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"1594.304688\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1655.583984\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1683.367188\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1744.890625\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1776.677734\" xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"1845.28125\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1906.462891\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"1988.25\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"2016.033203\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"2043.816406\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"2107.195312\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"2170.671875\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"2202.458984\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"2272.283203\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"2300.066406\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"2363.445312\" xlink:href=\"#DejaVuSans-98\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_39\">\n     <g id=\"line2d_51\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"529.524313\"/>\n      </g>\n     </g>\n     <g id=\"text_46\">\n      <!-- Madvillainy, Madvillain -->\n      <g transform=\"translate(195.595313 533.323532)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-77\"/>\n       <use x=\"86.279297\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"147.558594\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"211.035156\" xlink:href=\"#DejaVuSans-118\"/>\n       <use x=\"270.214844\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"297.998047\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"325.78125\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"353.564453\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"414.84375\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"442.626953\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"506.005859\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"565.185547\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"596.972656\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"628.759766\" xlink:href=\"#DejaVuSans-77\"/>\n       <use x=\"715.039062\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"776.318359\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"839.794922\" xlink:href=\"#DejaVuSans-118\"/>\n       <use x=\"898.974609\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"926.757812\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"954.541016\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"982.324219\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1043.603516\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1071.386719\" xlink:href=\"#DejaVuSans-110\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_40\">\n     <g id=\"line2d_52\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"541.928475\"/>\n      </g>\n     </g>\n     <g id=\"text_47\">\n      <!-- RTRN II JUNGLE, Chase &amp; Status -->\n      <g transform=\"translate(149.48125 545.727694)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-82\"/>\n       <use x=\"62.232422\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"123.316406\" xlink:href=\"#DejaVuSans-82\"/>\n       <use x=\"192.798828\" xlink:href=\"#DejaVuSans-78\"/>\n       <use x=\"267.603516\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"299.390625\" xlink:href=\"#DejaVuSans-73\"/>\n       <use x=\"328.882812\" xlink:href=\"#DejaVuSans-73\"/>\n       <use x=\"358.375\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"390.162109\" xlink:href=\"#DejaVuSans-74\"/>\n       <use x=\"419.654297\" xlink:href=\"#DejaVuSans-85\"/>\n       <use x=\"492.847656\" xlink:href=\"#DejaVuSans-78\"/>\n       <use x=\"567.652344\" xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"645.142578\" xlink:href=\"#DejaVuSans-76\"/>\n       <use x=\"700.855469\" xlink:href=\"#DejaVuSans-69\"/>\n       <use x=\"764.039062\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"795.826172\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"827.613281\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"897.4375\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"960.816406\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1022.095703\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1074.195312\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1135.71875\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1167.505859\" xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"1245.484375\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1277.271484\" xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"1340.748047\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1379.957031\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1441.236328\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1480.445312\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"1543.824219\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_41\">\n     <g id=\"line2d_53\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"554.332638\"/>\n      </g>\n     </g>\n     <g id=\"text_48\">\n      <!-- Awake, Illenium -->\n      <g transform=\"translate(230.535937 558.131856)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"64.408203\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"146.195312\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"207.474609\" xlink:href=\"#DejaVuSans-107\"/>\n       <use x=\"261.759766\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"323.283203\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"355.070312\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"386.857422\" xlink:href=\"#DejaVuSans-73\"/>\n       <use x=\"416.349609\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"444.132812\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"471.916016\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"533.439453\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"596.818359\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"624.601562\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"687.980469\" xlink:href=\"#DejaVuSans-109\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_42\">\n     <g id=\"line2d_54\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"566.7368\"/>\n      </g>\n     </g>\n     <g id=\"text_49\">\n      <!-- Skin, Flume -->\n      <g transform=\"translate(250.701563 570.536018)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"63.476562\" xlink:href=\"#DejaVuSans-107\"/>\n       <use x=\"121.386719\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"149.169922\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"212.548828\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"244.335938\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"276.123047\" xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"333.642578\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"361.425781\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"424.804688\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"522.216797\" xlink:href=\"#DejaVuSans-101\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_43\">\n     <g id=\"line2d_55\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"579.140962\"/>\n      </g>\n     </g>\n     <g id=\"text_50\">\n      <!-- Flower Boy, Tyler, The Creator -->\n      <g transform=\"translate(158.610938 582.940181)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"57.519531\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"85.302734\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"146.484375\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"228.271484\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"289.794922\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"330.908203\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"362.695312\" xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"431.298828\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"492.480469\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"551.660156\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"583.447266\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"615.234375\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"660.693359\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"719.873047\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"747.65625\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"809.179688\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"850.292969\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"882.080078\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"913.867188\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"974.951172\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"1038.330078\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1099.853516\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1131.640625\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"1201.464844\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1240.328125\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1301.851562\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1363.130859\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1402.339844\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1463.521484\" xlink:href=\"#DejaVuSans-114\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_44\">\n     <g id=\"line2d_56\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"591.545124\"/>\n      </g>\n     </g>\n     <g id=\"text_51\">\n      <!-- DAYTONA, Pusha T -->\n      <g transform=\"translate(215.564063 595.344343)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"75.251953\" xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"135.910156\" xlink:href=\"#DejaVuSans-89\"/>\n       <use x=\"196.994141\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"258.078125\" xlink:href=\"#DejaVuSans-79\"/>\n       <use x=\"336.789062\" xlink:href=\"#DejaVuSans-78\"/>\n       <use x=\"411.59375\" xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"480.001953\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"511.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"543.576172\" xlink:href=\"#DejaVuSans-80\"/>\n       <use x=\"602.128906\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"665.507812\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"717.607422\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"780.986328\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"842.265625\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"874.052734\" xlink:href=\"#DejaVuSans-84\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_45\">\n     <g id=\"line2d_57\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"603.949286\"/>\n      </g>\n     </g>\n     <g id=\"text_52\">\n      <!-- Places We Don't Know, Kasbo -->\n      <g transform=\"translate(161.728125 607.748505)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-80\"/>\n       <use x=\"60.302734\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"88.085938\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"149.365234\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"204.345703\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"265.869141\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"317.96875\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"349.755859\" xlink:href=\"#DejaVuSans-87\"/>\n       <use x=\"442.757812\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"504.28125\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"536.068359\" xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"613.070312\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"674.251953\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"737.630859\" xlink:href=\"#DejaVuSans-39\"/>\n       <use x=\"765.121094\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"804.330078\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"836.117188\" xlink:href=\"#DejaVuSans-75\"/>\n       <use x=\"901.693359\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"965.072266\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1026.253906\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"1108.041016\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1139.828125\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1171.615234\" xlink:href=\"#DejaVuSans-75\"/>\n       <use x=\"1235.441406\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1296.720703\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1348.820312\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"1412.296875\" xlink:href=\"#DejaVuSans-111\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_46\">\n     <g id=\"line2d_58\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"616.353448\"/>\n      </g>\n     </g>\n     <g id=\"text_53\">\n      <!-- UKF Bass Culture 4, Various Artists -->\n      <g transform=\"translate(135.473437 620.152667)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 37.796875 64.3125 \nL 12.890625 25.390625 \nL 37.796875 25.390625 \nz\nM 35.203125 72.90625 \nL 47.609375 72.90625 \nL 47.609375 25.390625 \nL 58.015625 25.390625 \nL 58.015625 17.1875 \nL 47.609375 17.1875 \nL 47.609375 0 \nL 37.796875 0 \nL 37.796875 17.1875 \nL 4.890625 17.1875 \nL 4.890625 26.703125 \nz\n\" id=\"DejaVuSans-52\"/>\n        <path d=\"M 28.609375 0 \nL 0.78125 72.90625 \nL 11.078125 72.90625 \nL 34.1875 11.53125 \nL 57.328125 72.90625 \nL 67.578125 72.90625 \nL 39.796875 0 \nz\n\" id=\"DejaVuSans-86\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-85\"/>\n       <use x=\"73.193359\" xlink:href=\"#DejaVuSans-75\"/>\n       <use x=\"138.769531\" xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"196.289062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"228.076172\" xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"296.679688\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"357.958984\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"410.058594\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"462.158203\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"493.945312\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"563.769531\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"627.148438\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"654.931641\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"694.140625\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"757.519531\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"796.382812\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"857.90625\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"889.693359\" xlink:href=\"#DejaVuSans-52\"/>\n       <use x=\"953.316406\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"985.103516\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1016.890625\" xlink:href=\"#DejaVuSans-86\"/>\n       <use x=\"1077.548828\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1138.828125\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1179.941406\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1207.724609\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1268.90625\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"1332.285156\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1384.384766\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1416.171875\" xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"1484.580078\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1525.693359\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1564.902344\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1592.685547\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1644.785156\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1683.994141\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_47\">\n     <g id=\"line2d_59\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"628.75761\"/>\n      </g>\n     </g>\n     <g id=\"text_54\">\n      <!-- Streams Of Thought Vol.2, Black Thought -->\n      <g transform=\"translate(102.651563 632.556829)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"63.476562\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"102.685547\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"141.548828\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"203.072266\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"264.351562\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"361.763672\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"413.863281\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"445.650391\" xlink:href=\"#DejaVuSans-79\"/>\n       <use x=\"524.361328\" xlink:href=\"#DejaVuSans-102\"/>\n       <use x=\"559.566406\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"591.353516\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"652.4375\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"715.816406\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"776.998047\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"840.376953\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"903.853516\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"967.232422\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1006.441406\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1038.228516\" xlink:href=\"#DejaVuSans-86\"/>\n       <use x=\"1098.886719\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1160.068359\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1187.851562\" xlink:href=\"#DejaVuSans-46\"/>\n       <use x=\"1219.638672\" xlink:href=\"#DejaVuSans-50\"/>\n       <use x=\"1283.261719\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1315.048828\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1346.835938\" xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"1415.439453\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1443.222656\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1504.501953\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"1559.482422\" xlink:href=\"#DejaVuSans-107\"/>\n       <use x=\"1617.392578\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1649.179688\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"1710.263672\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"1773.642578\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1834.824219\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"1898.203125\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"1961.679688\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"2025.058594\" xlink:href=\"#DejaVuSans-116\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_48\">\n     <g id=\"line2d_60\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"641.161772\"/>\n      </g>\n     </g>\n     <g id=\"text_55\">\n      <!-- Bottomless Pit, Death Grips -->\n      <g transform=\"translate(171.39375 644.960991)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"68.603516\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"129.785156\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"168.994141\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"208.203125\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"269.384766\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"366.796875\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"394.580078\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"456.103516\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"508.203125\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"560.302734\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"592.089844\" xlink:href=\"#DejaVuSans-80\"/>\n       <use x=\"650.142578\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"677.925781\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"717.134766\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"748.921875\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"780.708984\" xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"857.710938\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"919.234375\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"980.513672\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1019.722656\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"1083.101562\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1114.888672\" xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"1192.378906\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1233.492188\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1261.275391\" xlink:href=\"#DejaVuSans-112\"/>\n       <use x=\"1324.751953\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_49\">\n     <g id=\"line2d_61\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"653.565934\"/>\n      </g>\n     </g>\n     <g id=\"text_56\">\n      <!-- GREY Area, Little Simz -->\n      <g transform=\"translate(196.992188 657.365153)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"77.490234\" xlink:href=\"#DejaVuSans-82\"/>\n       <use x=\"146.972656\" xlink:href=\"#DejaVuSans-69\"/>\n       <use x=\"210.15625\" xlink:href=\"#DejaVuSans-89\"/>\n       <use x=\"271.240234\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"303.027344\" xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"371.435547\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"410.298828\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"471.822266\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"533.101562\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"564.888672\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"596.675781\" xlink:href=\"#DejaVuSans-76\"/>\n       <use x=\"652.388672\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"680.171875\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"719.380859\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"758.589844\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"786.373047\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"847.896484\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"879.683594\" xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"943.160156\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"970.943359\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"1068.355469\" xlink:href=\"#DejaVuSans-122\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_50\">\n     <g id=\"line2d_62\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m246718c5fb\" y=\"665.970097\"/>\n      </g>\n     </g>\n     <g id=\"text_57\">\n      <!-- Globes, Holy Goof -->\n      <g transform=\"translate(219.340625 669.769315)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"77.490234\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"105.273438\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"166.455078\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"229.931641\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"291.455078\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"343.554688\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"375.341797\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"407.128906\" xlink:href=\"#DejaVuSans-72\"/>\n       <use x=\"482.324219\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"543.505859\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"571.289062\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"630.46875\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"662.255859\" xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"739.746094\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"800.927734\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"862.109375\" xlink:href=\"#DejaVuSans-102\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"patch_53\">\n    <path d=\"M 316.073438 701.818125 \nL 316.073438 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_54\">\n    <path d=\"M 706.673437 701.818125 \nL 706.673437 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_55\">\n    <path d=\"M 316.073438 701.818125 \nL 706.673437 701.818125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_56\">\n    <path d=\"M 316.073438 22.318125 \nL 706.673437 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"text_58\">\n    <!-- Time Listened (Since Nov 17) -->\n    <g transform=\"translate(423.285 16.318125)scale(0.12 -0.12)\">\n     <defs>\n      <path d=\"M 8.203125 72.90625 \nL 55.078125 72.90625 \nL 55.078125 68.703125 \nL 28.609375 0 \nL 18.3125 0 \nL 43.21875 64.59375 \nL 8.203125 64.59375 \nz\n\" id=\"DejaVuSans-55\"/>\n     </defs>\n     <use xlink:href=\"#DejaVuSans-84\"/>\n     <use x=\"57.958984\" xlink:href=\"#DejaVuSans-105\"/>\n     <use x=\"85.742188\" xlink:href=\"#DejaVuSans-109\"/>\n     <use x=\"183.154297\" xlink:href=\"#DejaVuSans-101\"/>\n     <use x=\"244.677734\" xlink:href=\"#DejaVuSans-32\"/>\n     <use x=\"276.464844\" xlink:href=\"#DejaVuSans-76\"/>\n     <use x=\"332.177734\" xlink:href=\"#DejaVuSans-105\"/>\n     <use x=\"359.960938\" xlink:href=\"#DejaVuSans-115\"/>\n     <use x=\"412.060547\" xlink:href=\"#DejaVuSans-116\"/>\n     <use x=\"451.269531\" xlink:href=\"#DejaVuSans-101\"/>\n     <use x=\"512.792969\" xlink:href=\"#DejaVuSans-110\"/>\n     <use x=\"576.171875\" xlink:href=\"#DejaVuSans-101\"/>\n     <use x=\"637.695312\" xlink:href=\"#DejaVuSans-100\"/>\n     <use x=\"701.171875\" xlink:href=\"#DejaVuSans-32\"/>\n     <use x=\"732.958984\" xlink:href=\"#DejaVuSans-40\"/>\n     <use x=\"771.972656\" xlink:href=\"#DejaVuSans-83\"/>\n     <use x=\"835.449219\" xlink:href=\"#DejaVuSans-105\"/>\n     <use x=\"863.232422\" xlink:href=\"#DejaVuSans-110\"/>\n     <use x=\"926.611328\" xlink:href=\"#DejaVuSans-99\"/>\n     <use x=\"981.591797\" xlink:href=\"#DejaVuSans-101\"/>\n     <use x=\"1043.115234\" xlink:href=\"#DejaVuSans-32\"/>\n     <use x=\"1074.902344\" xlink:href=\"#DejaVuSans-78\"/>\n     <use x=\"1149.707031\" xlink:href=\"#DejaVuSans-111\"/>\n     <use x=\"1210.888672\" xlink:href=\"#DejaVuSans-118\"/>\n     <use x=\"1270.068359\" xlink:href=\"#DejaVuSans-32\"/>\n     <use x=\"1301.855469\" xlink:href=\"#DejaVuSans-49\"/>\n     <use x=\"1365.478516\" xlink:href=\"#DejaVuSans-55\"/>\n     <use x=\"1429.101562\" xlink:href=\"#DejaVuSans-41\"/>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pad548ca16a\">\n   <rect height=\"679.5\" width=\"390.6\" x=\"316.073438\" y=\"22.318125\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 840x1500 with 1 Axes>"
+      ]
      },
      "metadata": {
       "needs_background": "light"
-     }
+     },
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -262,19 +396,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": "<Figure size 840x1500 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<!-- Created with matplotlib (https://matplotlib.org/) -->\n<svg height=\"739.374375pt\" version=\"1.1\" viewBox=\"0 0 713.873438 739.374375\" width=\"713.873438pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-02-03T16:04:43.406301</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.3.4, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 739.374375 \nL 713.873437 739.374375 \nL 713.873437 0 \nL 0 0 \nz\n\" style=\"fill:none;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 316.073438 701.818125 \nL 706.673437 701.818125 \nL 706.673437 22.318125 \nL 316.073438 22.318125 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 63.127818 \nL 519.347236 63.127818 \nL 519.347236 53.204489 \nL 316.073438 53.204489 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 75.53198 \nL 481.057761 75.53198 \nL 481.057761 65.608651 \nL 316.073438 65.608651 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 87.936143 \nL 400.032427 87.936143 \nL 400.032427 78.012813 \nL 316.073438 78.012813 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 100.340305 \nL 407.900464 100.340305 \nL 407.900464 90.416975 \nL 316.073438 90.416975 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_7\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 112.744467 \nL 457.843478 112.744467 \nL 457.843478 102.821137 \nL 316.073438 102.821137 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_8\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 125.148629 \nL 447.688602 125.148629 \nL 447.688602 115.225299 \nL 316.073438 115.225299 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_9\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 137.552791 \nL 450.790612 137.552791 \nL 450.790612 127.629461 \nL 316.073438 127.629461 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_10\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 149.956953 \nL 440.445201 149.956953 \nL 440.445201 140.033623 \nL 316.073438 140.033623 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_11\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 162.361115 \nL 411.561075 162.361115 \nL 411.561075 152.437785 \nL 316.073438 152.437785 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_12\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 174.765277 \nL 471.005127 174.765277 \nL 471.005127 164.841948 \nL 316.073438 164.841948 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_13\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 187.169439 \nL 478.832617 187.169439 \nL 478.832617 177.24611 \nL 316.073438 177.24611 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_14\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 199.573601 \nL 451.959295 199.573601 \nL 451.959295 189.650272 \nL 316.073438 189.650272 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_15\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 211.977764 \nL 428.19047 211.977764 \nL 428.19047 202.054434 \nL 316.073438 202.054434 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_16\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 224.381926 \nL 374.750371 224.381926 \nL 374.750371 214.458596 \nL 316.073438 214.458596 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_17\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 236.786088 \nL 448.097249 236.786088 \nL 448.097249 226.862758 \nL 316.073438 226.862758 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_18\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 249.19025 \nL 412.106703 249.19025 \nL 412.106703 239.26692 \nL 316.073438 239.26692 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_19\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 261.594412 \nL 441.011058 261.594412 \nL 441.011058 251.671082 \nL 316.073438 251.671082 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_20\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 273.998574 \nL 494.611205 273.998574 \nL 494.611205 264.075244 \nL 316.073438 264.075244 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_21\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 286.402736 \nL 450.455879 286.402736 \nL 450.455879 276.479406 \nL 316.073438 276.479406 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_22\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 298.806898 \nL 384.66124 298.806898 \nL 384.66124 288.883569 \nL 316.073438 288.883569 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_23\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 311.21106 \nL 408.330431 311.21106 \nL 408.330431 301.287731 \nL 316.073438 301.287731 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_24\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 323.615222 \nL 436.718508 323.615222 \nL 436.718508 313.691893 \nL 316.073438 313.691893 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_25\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 336.019385 \nL 349.145447 336.019385 \nL 349.145447 326.096055 \nL 316.073438 326.096055 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_26\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 348.423547 \nL 427.591028 348.423547 \nL 427.591028 338.500217 \nL 316.073438 338.500217 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_27\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 360.827709 \nL 454.030483 360.827709 \nL 454.030483 350.904379 \nL 316.073438 350.904379 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_28\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 373.231871 \nL 375.814846 373.231871 \nL 375.814846 363.308541 \nL 316.073438 363.308541 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_29\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 385.636033 \nL 413.745902 385.636033 \nL 413.745902 375.712703 \nL 316.073438 375.712703 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_30\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 398.040195 \nL 486.653748 398.040195 \nL 486.653748 388.116865 \nL 316.073438 388.116865 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_31\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 410.444357 \nL 416.337209 410.444357 \nL 416.337209 400.521028 \nL 316.073438 400.521028 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_32\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 422.848519 \nL 611.89799 422.848519 \nL 611.89799 412.92519 \nL 316.073438 412.92519 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_33\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 435.252681 \nL 688.073437 435.252681 \nL 688.073437 425.329352 \nL 316.073438 425.329352 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_34\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 447.656844 \nL 476.343158 447.656844 \nL 476.343158 437.733514 \nL 316.073438 437.733514 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_35\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 460.061006 \nL 400.350405 460.061006 \nL 400.350405 450.137676 \nL 316.073438 450.137676 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_36\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 472.465168 \nL 412.700414 472.465168 \nL 412.700414 462.541838 \nL 316.073438 462.541838 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_37\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 484.86933 \nL 542.02246 484.86933 \nL 542.02246 474.946 \nL 316.073438 474.946 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_38\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 497.273492 \nL 425.902515 497.273492 \nL 425.902515 487.350162 \nL 316.073438 487.350162 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_39\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 509.677654 \nL 453.611571 509.677654 \nL 453.611571 499.754324 \nL 316.073438 499.754324 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_40\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 522.081816 \nL 489.000249 522.081816 \nL 489.000249 512.158486 \nL 316.073438 512.158486 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_41\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 534.485978 \nL 370.82681 534.485978 \nL 370.82681 524.562649 \nL 316.073438 524.562649 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_42\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 546.89014 \nL 428.461744 546.89014 \nL 428.461744 536.966811 \nL 316.073438 536.966811 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_43\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 559.294302 \nL 402.366345 559.294302 \nL 402.366345 549.370973 \nL 316.073438 549.370973 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_44\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 571.698465 \nL 383.208892 571.698465 \nL 383.208892 561.775135 \nL 316.073438 561.775135 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_45\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 584.102627 \nL 420.912261 584.102627 \nL 420.912261 574.179297 \nL 316.073438 574.179297 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_46\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 596.506789 \nL 502.575863 596.506789 \nL 502.575863 586.583459 \nL 316.073438 586.583459 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_47\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 608.910951 \nL 416.054104 608.910951 \nL 416.054104 598.987621 \nL 316.073438 598.987621 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_48\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 621.315113 \nL 384.240937 621.315113 \nL 384.240937 611.391783 \nL 316.073438 611.391783 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_49\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 633.719275 \nL 457.729152 633.719275 \nL 457.729152 623.795945 \nL 316.073438 623.795945 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_50\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 646.123437 \nL 416.167067 646.123437 \nL 416.167067 636.200107 \nL 316.073438 636.200107 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_51\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 658.527599 \nL 434.650503 658.527599 \nL 434.650503 648.60427 \nL 316.073438 648.60427 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"patch_52\">\n    <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 670.931761 \nL 368.034338 670.931761 \nL 368.034338 661.008432 \nL 316.073438 661.008432 \nz\n\" style=\"fill:#1f77b4;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 316.073438 701.818125 \nL 316.073438 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_2\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m5bbb9cb492\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m5bbb9cb492\" y=\"701.818125\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(312.892188 716.416562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 31.78125 66.40625 \nQ 24.171875 66.40625 20.328125 58.90625 \nQ 16.5 51.421875 16.5 36.375 \nQ 16.5 21.390625 20.328125 13.890625 \nQ 24.171875 6.390625 31.78125 6.390625 \nQ 39.453125 6.390625 43.28125 13.890625 \nQ 47.125 21.390625 47.125 36.375 \nQ 47.125 51.421875 43.28125 58.90625 \nQ 39.453125 66.40625 31.78125 66.40625 \nz\nM 31.78125 74.21875 \nQ 44.046875 74.21875 50.515625 64.515625 \nQ 56.984375 54.828125 56.984375 36.375 \nQ 56.984375 17.96875 50.515625 8.265625 \nQ 44.046875 -1.421875 31.78125 -1.421875 \nQ 19.53125 -1.421875 13.0625 8.265625 \nQ 6.59375 17.96875 6.59375 36.375 \nQ 6.59375 54.828125 13.0625 64.515625 \nQ 19.53125 74.21875 31.78125 74.21875 \nz\n\" id=\"DejaVuSans-48\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_3\">\n      <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 396.263949 701.818125 \nL 396.263949 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"396.263949\" xlink:href=\"#m5bbb9cb492\" y=\"701.818125\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 10 -->\n      <g transform=\"translate(389.901449 716.416562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 12.40625 8.296875 \nL 28.515625 8.296875 \nL 28.515625 63.921875 \nL 10.984375 60.40625 \nL 10.984375 69.390625 \nL 28.421875 72.90625 \nL 38.28125 72.90625 \nL 38.28125 8.296875 \nL 54.390625 8.296875 \nL 54.390625 0 \nL 12.40625 0 \nz\n\" id=\"DejaVuSans-49\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_5\">\n      <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 476.454461 701.818125 \nL 476.454461 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"476.454461\" xlink:href=\"#m5bbb9cb492\" y=\"701.818125\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 20 -->\n      <g transform=\"translate(470.091961 716.416562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 19.1875 8.296875 \nL 53.609375 8.296875 \nL 53.609375 0 \nL 7.328125 0 \nL 7.328125 8.296875 \nQ 12.9375 14.109375 22.625 23.890625 \nQ 32.328125 33.6875 34.8125 36.53125 \nQ 39.546875 41.84375 41.421875 45.53125 \nQ 43.3125 49.21875 43.3125 52.78125 \nQ 43.3125 58.59375 39.234375 62.25 \nQ 35.15625 65.921875 28.609375 65.921875 \nQ 23.96875 65.921875 18.8125 64.3125 \nQ 13.671875 62.703125 7.8125 59.421875 \nL 7.8125 69.390625 \nQ 13.765625 71.78125 18.9375 73 \nQ 24.125 74.21875 28.421875 74.21875 \nQ 39.75 74.21875 46.484375 68.546875 \nQ 53.21875 62.890625 53.21875 53.421875 \nQ 53.21875 48.921875 51.53125 44.890625 \nQ 49.859375 40.875 45.40625 35.40625 \nQ 44.1875 33.984375 37.640625 27.21875 \nQ 31.109375 20.453125 19.1875 8.296875 \nz\n\" id=\"DejaVuSans-50\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-50\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_7\">\n      <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 556.644973 701.818125 \nL 556.644973 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"556.644973\" xlink:href=\"#m5bbb9cb492\" y=\"701.818125\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 30 -->\n      <g transform=\"translate(550.282473 716.416562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 40.578125 39.3125 \nQ 47.65625 37.796875 51.625 33 \nQ 55.609375 28.21875 55.609375 21.1875 \nQ 55.609375 10.40625 48.1875 4.484375 \nQ 40.765625 -1.421875 27.09375 -1.421875 \nQ 22.515625 -1.421875 17.65625 -0.515625 \nQ 12.796875 0.390625 7.625 2.203125 \nL 7.625 11.71875 \nQ 11.71875 9.328125 16.59375 8.109375 \nQ 21.484375 6.890625 26.8125 6.890625 \nQ 36.078125 6.890625 40.9375 10.546875 \nQ 45.796875 14.203125 45.796875 21.1875 \nQ 45.796875 27.640625 41.28125 31.265625 \nQ 36.765625 34.90625 28.71875 34.90625 \nL 20.21875 34.90625 \nL 20.21875 43.015625 \nL 29.109375 43.015625 \nQ 36.375 43.015625 40.234375 45.921875 \nQ 44.09375 48.828125 44.09375 54.296875 \nQ 44.09375 59.90625 40.109375 62.90625 \nQ 36.140625 65.921875 28.71875 65.921875 \nQ 24.65625 65.921875 20.015625 65.03125 \nQ 15.375 64.15625 9.8125 62.3125 \nL 9.8125 71.09375 \nQ 15.4375 72.65625 20.34375 73.4375 \nQ 25.25 74.21875 29.59375 74.21875 \nQ 40.828125 74.21875 47.359375 69.109375 \nQ 53.90625 64.015625 53.90625 55.328125 \nQ 53.90625 49.265625 50.4375 45.09375 \nQ 46.96875 40.921875 40.578125 39.3125 \nz\n\" id=\"DejaVuSans-51\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-51\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_9\">\n      <path clip-path=\"url(#pfaf981f1b0)\" d=\"M 636.835485 701.818125 \nL 636.835485 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"636.835485\" xlink:href=\"#m5bbb9cb492\" y=\"701.818125\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 40 -->\n      <g transform=\"translate(630.472985 716.416562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 37.796875 64.3125 \nL 12.890625 25.390625 \nL 37.796875 25.390625 \nz\nM 35.203125 72.90625 \nL 47.609375 72.90625 \nL 47.609375 25.390625 \nL 58.015625 25.390625 \nL 58.015625 17.1875 \nL 47.609375 17.1875 \nL 47.609375 0 \nL 37.796875 0 \nL 37.796875 17.1875 \nL 4.890625 17.1875 \nL 4.890625 26.703125 \nz\n\" id=\"DejaVuSans-52\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-52\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_6\">\n     <!-- Average plays per song -->\n     <g transform=\"translate(452.56875 730.094687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 34.1875 63.1875 \nL 20.796875 26.90625 \nL 47.609375 26.90625 \nz\nM 28.609375 72.90625 \nL 39.796875 72.90625 \nL 67.578125 0 \nL 57.328125 0 \nL 50.6875 18.703125 \nL 17.828125 18.703125 \nL 11.1875 0 \nL 0.78125 0 \nz\n\" id=\"DejaVuSans-65\"/>\n       <path d=\"M 2.984375 54.6875 \nL 12.5 54.6875 \nL 29.59375 8.796875 \nL 46.6875 54.6875 \nL 56.203125 54.6875 \nL 35.6875 0 \nL 23.484375 0 \nz\n\" id=\"DejaVuSans-118\"/>\n       <path d=\"M 56.203125 29.59375 \nL 56.203125 25.203125 \nL 14.890625 25.203125 \nQ 15.484375 15.921875 20.484375 11.0625 \nQ 25.484375 6.203125 34.421875 6.203125 \nQ 39.59375 6.203125 44.453125 7.46875 \nQ 49.3125 8.734375 54.109375 11.28125 \nL 54.109375 2.78125 \nQ 49.265625 0.734375 44.1875 -0.34375 \nQ 39.109375 -1.421875 33.890625 -1.421875 \nQ 20.796875 -1.421875 13.15625 6.1875 \nQ 5.515625 13.8125 5.515625 26.8125 \nQ 5.515625 40.234375 12.765625 48.109375 \nQ 20.015625 56 32.328125 56 \nQ 43.359375 56 49.78125 48.890625 \nQ 56.203125 41.796875 56.203125 29.59375 \nz\nM 47.21875 32.234375 \nQ 47.125 39.59375 43.09375 43.984375 \nQ 39.0625 48.390625 32.421875 48.390625 \nQ 24.90625 48.390625 20.390625 44.140625 \nQ 15.875 39.890625 15.1875 32.171875 \nz\n\" id=\"DejaVuSans-101\"/>\n       <path d=\"M 41.109375 46.296875 \nQ 39.59375 47.171875 37.8125 47.578125 \nQ 36.03125 48 33.890625 48 \nQ 26.265625 48 22.1875 43.046875 \nQ 18.109375 38.09375 18.109375 28.8125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 20.953125 51.171875 25.484375 53.578125 \nQ 30.03125 56 36.53125 56 \nQ 37.453125 56 38.578125 55.875 \nQ 39.703125 55.765625 41.0625 55.515625 \nz\n\" id=\"DejaVuSans-114\"/>\n       <path d=\"M 34.28125 27.484375 \nQ 23.390625 27.484375 19.1875 25 \nQ 14.984375 22.515625 14.984375 16.5 \nQ 14.984375 11.71875 18.140625 8.90625 \nQ 21.296875 6.109375 26.703125 6.109375 \nQ 34.1875 6.109375 38.703125 11.40625 \nQ 43.21875 16.703125 43.21875 25.484375 \nL 43.21875 27.484375 \nz\nM 52.203125 31.203125 \nL 52.203125 0 \nL 43.21875 0 \nL 43.21875 8.296875 \nQ 40.140625 3.328125 35.546875 0.953125 \nQ 30.953125 -1.421875 24.3125 -1.421875 \nQ 15.921875 -1.421875 10.953125 3.296875 \nQ 6 8.015625 6 15.921875 \nQ 6 25.140625 12.171875 29.828125 \nQ 18.359375 34.515625 30.609375 34.515625 \nL 43.21875 34.515625 \nL 43.21875 35.40625 \nQ 43.21875 41.609375 39.140625 45 \nQ 35.0625 48.390625 27.6875 48.390625 \nQ 23 48.390625 18.546875 47.265625 \nQ 14.109375 46.140625 10.015625 43.890625 \nL 10.015625 52.203125 \nQ 14.9375 54.109375 19.578125 55.046875 \nQ 24.21875 56 28.609375 56 \nQ 40.484375 56 46.34375 49.84375 \nQ 52.203125 43.703125 52.203125 31.203125 \nz\n\" id=\"DejaVuSans-97\"/>\n       <path d=\"M 45.40625 27.984375 \nQ 45.40625 37.75 41.375 43.109375 \nQ 37.359375 48.484375 30.078125 48.484375 \nQ 22.859375 48.484375 18.828125 43.109375 \nQ 14.796875 37.75 14.796875 27.984375 \nQ 14.796875 18.265625 18.828125 12.890625 \nQ 22.859375 7.515625 30.078125 7.515625 \nQ 37.359375 7.515625 41.375 12.890625 \nQ 45.40625 18.265625 45.40625 27.984375 \nz\nM 54.390625 6.78125 \nQ 54.390625 -7.171875 48.1875 -13.984375 \nQ 42 -20.796875 29.203125 -20.796875 \nQ 24.46875 -20.796875 20.265625 -20.09375 \nQ 16.0625 -19.390625 12.109375 -17.921875 \nL 12.109375 -9.1875 \nQ 16.0625 -11.328125 19.921875 -12.34375 \nQ 23.78125 -13.375 27.78125 -13.375 \nQ 36.625 -13.375 41.015625 -8.765625 \nQ 45.40625 -4.15625 45.40625 5.171875 \nL 45.40625 9.625 \nQ 42.625 4.78125 38.28125 2.390625 \nQ 33.9375 0 27.875 0 \nQ 17.828125 0 11.671875 7.65625 \nQ 5.515625 15.328125 5.515625 27.984375 \nQ 5.515625 40.671875 11.671875 48.328125 \nQ 17.828125 56 27.875 56 \nQ 33.9375 56 38.28125 53.609375 \nQ 42.625 51.21875 45.40625 46.390625 \nL 45.40625 54.6875 \nL 54.390625 54.6875 \nz\n\" id=\"DejaVuSans-103\"/>\n       <path id=\"DejaVuSans-32\"/>\n       <path d=\"M 18.109375 8.203125 \nL 18.109375 -20.796875 \nL 9.078125 -20.796875 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.390625 \nQ 20.953125 51.265625 25.265625 53.625 \nQ 29.59375 56 35.59375 56 \nQ 45.5625 56 51.78125 48.09375 \nQ 58.015625 40.1875 58.015625 27.296875 \nQ 58.015625 14.40625 51.78125 6.484375 \nQ 45.5625 -1.421875 35.59375 -1.421875 \nQ 29.59375 -1.421875 25.265625 0.953125 \nQ 20.953125 3.328125 18.109375 8.203125 \nz\nM 48.6875 27.296875 \nQ 48.6875 37.203125 44.609375 42.84375 \nQ 40.53125 48.484375 33.40625 48.484375 \nQ 26.265625 48.484375 22.1875 42.84375 \nQ 18.109375 37.203125 18.109375 27.296875 \nQ 18.109375 17.390625 22.1875 11.75 \nQ 26.265625 6.109375 33.40625 6.109375 \nQ 40.53125 6.109375 44.609375 11.75 \nQ 48.6875 17.390625 48.6875 27.296875 \nz\n\" id=\"DejaVuSans-112\"/>\n       <path d=\"M 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 0 \nL 9.421875 0 \nz\n\" id=\"DejaVuSans-108\"/>\n       <path d=\"M 32.171875 -5.078125 \nQ 28.375 -14.84375 24.75 -17.8125 \nQ 21.140625 -20.796875 15.09375 -20.796875 \nL 7.90625 -20.796875 \nL 7.90625 -13.28125 \nL 13.1875 -13.28125 \nQ 16.890625 -13.28125 18.9375 -11.515625 \nQ 21 -9.765625 23.484375 -3.21875 \nL 25.09375 0.875 \nL 2.984375 54.6875 \nL 12.5 54.6875 \nL 29.59375 11.921875 \nL 46.6875 54.6875 \nL 56.203125 54.6875 \nz\n\" id=\"DejaVuSans-121\"/>\n       <path d=\"M 44.28125 53.078125 \nL 44.28125 44.578125 \nQ 40.484375 46.53125 36.375 47.5 \nQ 32.28125 48.484375 27.875 48.484375 \nQ 21.1875 48.484375 17.84375 46.4375 \nQ 14.5 44.390625 14.5 40.28125 \nQ 14.5 37.15625 16.890625 35.375 \nQ 19.28125 33.59375 26.515625 31.984375 \nL 29.59375 31.296875 \nQ 39.15625 29.25 43.1875 25.515625 \nQ 47.21875 21.78125 47.21875 15.09375 \nQ 47.21875 7.46875 41.1875 3.015625 \nQ 35.15625 -1.421875 24.609375 -1.421875 \nQ 20.21875 -1.421875 15.453125 -0.5625 \nQ 10.6875 0.296875 5.421875 2 \nL 5.421875 11.28125 \nQ 10.40625 8.6875 15.234375 7.390625 \nQ 20.0625 6.109375 24.8125 6.109375 \nQ 31.15625 6.109375 34.5625 8.28125 \nQ 37.984375 10.453125 37.984375 14.40625 \nQ 37.984375 18.0625 35.515625 20.015625 \nQ 33.0625 21.96875 24.703125 23.78125 \nL 21.578125 24.515625 \nQ 13.234375 26.265625 9.515625 29.90625 \nQ 5.8125 33.546875 5.8125 39.890625 \nQ 5.8125 47.609375 11.28125 51.796875 \nQ 16.75 56 26.8125 56 \nQ 31.78125 56 36.171875 55.265625 \nQ 40.578125 54.546875 44.28125 53.078125 \nz\n\" id=\"DejaVuSans-115\"/>\n       <path d=\"M 30.609375 48.390625 \nQ 23.390625 48.390625 19.1875 42.75 \nQ 14.984375 37.109375 14.984375 27.296875 \nQ 14.984375 17.484375 19.15625 11.84375 \nQ 23.34375 6.203125 30.609375 6.203125 \nQ 37.796875 6.203125 41.984375 11.859375 \nQ 46.1875 17.53125 46.1875 27.296875 \nQ 46.1875 37.015625 41.984375 42.703125 \nQ 37.796875 48.390625 30.609375 48.390625 \nz\nM 30.609375 56 \nQ 42.328125 56 49.015625 48.375 \nQ 55.71875 40.765625 55.71875 27.296875 \nQ 55.71875 13.875 49.015625 6.21875 \nQ 42.328125 -1.421875 30.609375 -1.421875 \nQ 18.84375 -1.421875 12.171875 6.21875 \nQ 5.515625 13.875 5.515625 27.296875 \nQ 5.515625 40.765625 12.171875 48.375 \nQ 18.84375 56 30.609375 56 \nz\n\" id=\"DejaVuSans-111\"/>\n       <path d=\"M 54.890625 33.015625 \nL 54.890625 0 \nL 45.90625 0 \nL 45.90625 32.71875 \nQ 45.90625 40.484375 42.875 44.328125 \nQ 39.84375 48.1875 33.796875 48.1875 \nQ 26.515625 48.1875 22.3125 43.546875 \nQ 18.109375 38.921875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 21.34375 51.125 25.703125 53.5625 \nQ 30.078125 56 35.796875 56 \nQ 45.21875 56 50.046875 50.171875 \nQ 54.890625 44.34375 54.890625 33.015625 \nz\n\" id=\"DejaVuSans-110\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"62.533203\" xlink:href=\"#DejaVuSans-118\"/>\n      <use x=\"121.712891\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"183.236328\" xlink:href=\"#DejaVuSans-114\"/>\n      <use x=\"224.349609\" xlink:href=\"#DejaVuSans-97\"/>\n      <use x=\"285.628906\" xlink:href=\"#DejaVuSans-103\"/>\n      <use x=\"349.105469\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"410.628906\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"442.416016\" xlink:href=\"#DejaVuSans-112\"/>\n      <use x=\"505.892578\" xlink:href=\"#DejaVuSans-108\"/>\n      <use x=\"533.675781\" xlink:href=\"#DejaVuSans-97\"/>\n      <use x=\"594.955078\" xlink:href=\"#DejaVuSans-121\"/>\n      <use x=\"654.134766\" xlink:href=\"#DejaVuSans-115\"/>\n      <use x=\"706.234375\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"738.021484\" xlink:href=\"#DejaVuSans-112\"/>\n      <use x=\"801.498047\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"863.021484\" xlink:href=\"#DejaVuSans-114\"/>\n      <use x=\"904.134766\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"935.921875\" xlink:href=\"#DejaVuSans-115\"/>\n      <use x=\"988.021484\" xlink:href=\"#DejaVuSans-111\"/>\n      <use x=\"1049.203125\" xlink:href=\"#DejaVuSans-110\"/>\n      <use x=\"1112.582031\" xlink:href=\"#DejaVuSans-103\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_11\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m99c06f334b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"58.166153\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- Piñata, Freddie Gibbs -->\n      <g transform=\"translate(203.315625 61.965372)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 19.671875 64.796875 \nL 19.671875 37.40625 \nL 32.078125 37.40625 \nQ 38.96875 37.40625 42.71875 40.96875 \nQ 46.484375 44.53125 46.484375 51.125 \nQ 46.484375 57.671875 42.71875 61.234375 \nQ 38.96875 64.796875 32.078125 64.796875 \nz\nM 9.8125 72.90625 \nL 32.078125 72.90625 \nQ 44.34375 72.90625 50.609375 67.359375 \nQ 56.890625 61.8125 56.890625 51.125 \nQ 56.890625 40.328125 50.609375 34.8125 \nQ 44.34375 29.296875 32.078125 29.296875 \nL 19.671875 29.296875 \nL 19.671875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-80\"/>\n        <path d=\"M 9.421875 54.6875 \nL 18.40625 54.6875 \nL 18.40625 0 \nL 9.421875 0 \nz\nM 9.421875 75.984375 \nL 18.40625 75.984375 \nL 18.40625 64.59375 \nL 9.421875 64.59375 \nz\n\" id=\"DejaVuSans-105\"/>\n        <path d=\"M 54.890625 33.015625 \nL 54.890625 0 \nL 45.90625 0 \nL 45.90625 32.71875 \nQ 45.90625 40.484375 42.875 44.328125 \nQ 39.84375 48.1875 33.796875 48.1875 \nQ 26.515625 48.1875 22.3125 43.546875 \nQ 18.109375 38.921875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 21.34375 51.125 25.703125 53.5625 \nQ 30.078125 56 35.796875 56 \nQ 45.21875 56 50.046875 50.171875 \nQ 54.890625 44.34375 54.890625 33.015625 \nz\nM 32.1875 66.890625 \nL 29.390625 69.578125 \nQ 28.328125 70.5625 27.515625 71.015625 \nQ 26.71875 71.484375 26.078125 71.484375 \nQ 24.21875 71.484375 23.34375 69.703125 \nQ 22.46875 67.921875 22.359375 63.921875 \nL 16.265625 63.921875 \nQ 16.359375 70.515625 18.84375 74.09375 \nQ 21.34375 77.6875 25.78125 77.6875 \nQ 27.640625 77.6875 29.203125 77 \nQ 30.765625 76.3125 32.578125 74.703125 \nL 35.359375 72.015625 \nQ 36.421875 71.046875 37.234375 70.578125 \nQ 38.046875 70.125 38.671875 70.125 \nQ 40.53125 70.125 41.40625 71.90625 \nQ 42.28125 73.6875 42.390625 77.6875 \nL 48.484375 77.6875 \nQ 48.390625 71.09375 45.890625 67.5 \nQ 43.40625 63.921875 38.96875 63.921875 \nQ 37.109375 63.921875 35.546875 64.59375 \nQ 33.984375 65.28125 32.1875 66.890625 \nz\n\" id=\"DejaVuSans-241\"/>\n        <path d=\"M 18.3125 70.21875 \nL 18.3125 54.6875 \nL 36.8125 54.6875 \nL 36.8125 47.703125 \nL 18.3125 47.703125 \nL 18.3125 18.015625 \nQ 18.3125 11.328125 20.140625 9.421875 \nQ 21.96875 7.515625 27.59375 7.515625 \nL 36.8125 7.515625 \nL 36.8125 0 \nL 27.59375 0 \nQ 17.1875 0 13.234375 3.875 \nQ 9.28125 7.765625 9.28125 18.015625 \nL 9.28125 47.703125 \nL 2.6875 47.703125 \nL 2.6875 54.6875 \nL 9.28125 54.6875 \nL 9.28125 70.21875 \nz\n\" id=\"DejaVuSans-116\"/>\n        <path d=\"M 11.71875 12.40625 \nL 22.015625 12.40625 \nL 22.015625 4 \nL 14.015625 -11.625 \nL 7.71875 -11.625 \nL 11.71875 4 \nz\n\" id=\"DejaVuSans-44\"/>\n        <path d=\"M 9.8125 72.90625 \nL 51.703125 72.90625 \nL 51.703125 64.59375 \nL 19.671875 64.59375 \nL 19.671875 43.109375 \nL 48.578125 43.109375 \nL 48.578125 34.8125 \nL 19.671875 34.8125 \nL 19.671875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-70\"/>\n        <path d=\"M 45.40625 46.390625 \nL 45.40625 75.984375 \nL 54.390625 75.984375 \nL 54.390625 0 \nL 45.40625 0 \nL 45.40625 8.203125 \nQ 42.578125 3.328125 38.25 0.953125 \nQ 33.9375 -1.421875 27.875 -1.421875 \nQ 17.96875 -1.421875 11.734375 6.484375 \nQ 5.515625 14.40625 5.515625 27.296875 \nQ 5.515625 40.1875 11.734375 48.09375 \nQ 17.96875 56 27.875 56 \nQ 33.9375 56 38.25 53.625 \nQ 42.578125 51.265625 45.40625 46.390625 \nz\nM 14.796875 27.296875 \nQ 14.796875 17.390625 18.875 11.75 \nQ 22.953125 6.109375 30.078125 6.109375 \nQ 37.203125 6.109375 41.296875 11.75 \nQ 45.40625 17.390625 45.40625 27.296875 \nQ 45.40625 37.203125 41.296875 42.84375 \nQ 37.203125 48.484375 30.078125 48.484375 \nQ 22.953125 48.484375 18.875 42.84375 \nQ 14.796875 37.203125 14.796875 27.296875 \nz\n\" id=\"DejaVuSans-100\"/>\n        <path d=\"M 59.515625 10.40625 \nL 59.515625 29.984375 \nL 43.40625 29.984375 \nL 43.40625 38.09375 \nL 69.28125 38.09375 \nL 69.28125 6.78125 \nQ 63.578125 2.734375 56.6875 0.65625 \nQ 49.8125 -1.421875 42 -1.421875 \nQ 24.90625 -1.421875 15.25 8.5625 \nQ 5.609375 18.5625 5.609375 36.375 \nQ 5.609375 54.25 15.25 64.234375 \nQ 24.90625 74.21875 42 74.21875 \nQ 49.125 74.21875 55.546875 72.453125 \nQ 61.96875 70.703125 67.390625 67.28125 \nL 67.390625 56.78125 \nQ 61.921875 61.421875 55.765625 63.765625 \nQ 49.609375 66.109375 42.828125 66.109375 \nQ 29.4375 66.109375 22.71875 58.640625 \nQ 16.015625 51.171875 16.015625 36.375 \nQ 16.015625 21.625 22.71875 14.15625 \nQ 29.4375 6.6875 42.828125 6.6875 \nQ 48.046875 6.6875 52.140625 7.59375 \nQ 56.25 8.5 59.515625 10.40625 \nz\n\" id=\"DejaVuSans-71\"/>\n        <path d=\"M 48.6875 27.296875 \nQ 48.6875 37.203125 44.609375 42.84375 \nQ 40.53125 48.484375 33.40625 48.484375 \nQ 26.265625 48.484375 22.1875 42.84375 \nQ 18.109375 37.203125 18.109375 27.296875 \nQ 18.109375 17.390625 22.1875 11.75 \nQ 26.265625 6.109375 33.40625 6.109375 \nQ 40.53125 6.109375 44.609375 11.75 \nQ 48.6875 17.390625 48.6875 27.296875 \nz\nM 18.109375 46.390625 \nQ 20.953125 51.265625 25.265625 53.625 \nQ 29.59375 56 35.59375 56 \nQ 45.5625 56 51.78125 48.09375 \nQ 58.015625 40.1875 58.015625 27.296875 \nQ 58.015625 14.40625 51.78125 6.484375 \nQ 45.5625 -1.421875 35.59375 -1.421875 \nQ 29.59375 -1.421875 25.265625 0.953125 \nQ 20.953125 3.328125 18.109375 8.203125 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 75.984375 \nL 18.109375 75.984375 \nz\n\" id=\"DejaVuSans-98\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-80\"/>\n       <use x=\"58.052734\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"85.835938\" xlink:href=\"#DejaVuSans-241\"/>\n       <use x=\"149.214844\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"210.494141\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"249.703125\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"310.982422\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"342.769531\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"374.556641\" xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"424.826172\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"463.689453\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"525.212891\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"588.689453\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"652.166016\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"679.949219\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"741.472656\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"773.259766\" xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"850.75\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"878.533203\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"942.009766\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"1005.486328\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"70.570316\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- To Pimp a Butterfly, Kendrick Lamar -->\n      <g transform=\"translate(130.403125 74.369534)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M -0.296875 72.90625 \nL 61.375 72.90625 \nL 61.375 64.59375 \nL 35.5 64.59375 \nL 35.5 0 \nL 25.59375 0 \nL 25.59375 64.59375 \nL -0.296875 64.59375 \nz\n\" id=\"DejaVuSans-84\"/>\n        <path d=\"M 52 44.1875 \nQ 55.375 50.25 60.0625 53.125 \nQ 64.75 56 71.09375 56 \nQ 79.640625 56 84.28125 50.015625 \nQ 88.921875 44.046875 88.921875 33.015625 \nL 88.921875 0 \nL 79.890625 0 \nL 79.890625 32.71875 \nQ 79.890625 40.578125 77.09375 44.375 \nQ 74.3125 48.1875 68.609375 48.1875 \nQ 61.625 48.1875 57.5625 43.546875 \nQ 53.515625 38.921875 53.515625 30.90625 \nL 53.515625 0 \nL 44.484375 0 \nL 44.484375 32.71875 \nQ 44.484375 40.625 41.703125 44.40625 \nQ 38.921875 48.1875 33.109375 48.1875 \nQ 26.21875 48.1875 22.15625 43.53125 \nQ 18.109375 38.875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 54.6875 \nL 18.109375 54.6875 \nL 18.109375 46.1875 \nQ 21.1875 51.21875 25.484375 53.609375 \nQ 29.78125 56 35.6875 56 \nQ 41.65625 56 45.828125 52.96875 \nQ 50 49.953125 52 44.1875 \nz\n\" id=\"DejaVuSans-109\"/>\n        <path d=\"M 19.671875 34.8125 \nL 19.671875 8.109375 \nL 35.5 8.109375 \nQ 43.453125 8.109375 47.28125 11.40625 \nQ 51.125 14.703125 51.125 21.484375 \nQ 51.125 28.328125 47.28125 31.5625 \nQ 43.453125 34.8125 35.5 34.8125 \nz\nM 19.671875 64.796875 \nL 19.671875 42.828125 \nL 34.28125 42.828125 \nQ 41.5 42.828125 45.03125 45.53125 \nQ 48.578125 48.25 48.578125 53.8125 \nQ 48.578125 59.328125 45.03125 62.0625 \nQ 41.5 64.796875 34.28125 64.796875 \nz\nM 9.8125 72.90625 \nL 35.015625 72.90625 \nQ 46.296875 72.90625 52.390625 68.21875 \nQ 58.5 63.53125 58.5 54.890625 \nQ 58.5 48.1875 55.375 44.234375 \nQ 52.25 40.28125 46.1875 39.3125 \nQ 53.46875 37.75 57.5 32.78125 \nQ 61.53125 27.828125 61.53125 20.40625 \nQ 61.53125 10.640625 54.890625 5.3125 \nQ 48.25 0 35.984375 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-66\"/>\n        <path d=\"M 8.5 21.578125 \nL 8.5 54.6875 \nL 17.484375 54.6875 \nL 17.484375 21.921875 \nQ 17.484375 14.15625 20.5 10.265625 \nQ 23.53125 6.390625 29.59375 6.390625 \nQ 36.859375 6.390625 41.078125 11.03125 \nQ 45.3125 15.671875 45.3125 23.6875 \nL 45.3125 54.6875 \nL 54.296875 54.6875 \nL 54.296875 0 \nL 45.3125 0 \nL 45.3125 8.40625 \nQ 42.046875 3.421875 37.71875 1 \nQ 33.40625 -1.421875 27.6875 -1.421875 \nQ 18.265625 -1.421875 13.375 4.4375 \nQ 8.5 10.296875 8.5 21.578125 \nz\nM 31.109375 56 \nz\n\" id=\"DejaVuSans-117\"/>\n        <path d=\"M 37.109375 75.984375 \nL 37.109375 68.5 \nL 28.515625 68.5 \nQ 23.6875 68.5 21.796875 66.546875 \nQ 19.921875 64.59375 19.921875 59.515625 \nL 19.921875 54.6875 \nL 34.71875 54.6875 \nL 34.71875 47.703125 \nL 19.921875 47.703125 \nL 19.921875 0 \nL 10.890625 0 \nL 10.890625 47.703125 \nL 2.296875 47.703125 \nL 2.296875 54.6875 \nL 10.890625 54.6875 \nL 10.890625 58.5 \nQ 10.890625 67.625 15.140625 71.796875 \nQ 19.390625 75.984375 28.609375 75.984375 \nz\n\" id=\"DejaVuSans-102\"/>\n        <path d=\"M 9.8125 72.90625 \nL 19.671875 72.90625 \nL 19.671875 42.09375 \nL 52.390625 72.90625 \nL 65.09375 72.90625 \nL 28.90625 38.921875 \nL 67.671875 0 \nL 54.6875 0 \nL 19.671875 35.109375 \nL 19.671875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-75\"/>\n        <path d=\"M 48.78125 52.59375 \nL 48.78125 44.1875 \nQ 44.96875 46.296875 41.140625 47.34375 \nQ 37.3125 48.390625 33.40625 48.390625 \nQ 24.65625 48.390625 19.8125 42.84375 \nQ 14.984375 37.3125 14.984375 27.296875 \nQ 14.984375 17.28125 19.8125 11.734375 \nQ 24.65625 6.203125 33.40625 6.203125 \nQ 37.3125 6.203125 41.140625 7.25 \nQ 44.96875 8.296875 48.78125 10.40625 \nL 48.78125 2.09375 \nQ 45.015625 0.34375 40.984375 -0.53125 \nQ 36.96875 -1.421875 32.421875 -1.421875 \nQ 20.0625 -1.421875 12.78125 6.34375 \nQ 5.515625 14.109375 5.515625 27.296875 \nQ 5.515625 40.671875 12.859375 48.328125 \nQ 20.21875 56 33.015625 56 \nQ 37.15625 56 41.109375 55.140625 \nQ 45.0625 54.296875 48.78125 52.59375 \nz\n\" id=\"DejaVuSans-99\"/>\n        <path d=\"M 9.078125 75.984375 \nL 18.109375 75.984375 \nL 18.109375 31.109375 \nL 44.921875 54.6875 \nL 56.390625 54.6875 \nL 27.390625 29.109375 \nL 57.625 0 \nL 45.90625 0 \nL 18.109375 26.703125 \nL 18.109375 0 \nL 9.078125 0 \nz\n\" id=\"DejaVuSans-107\"/>\n        <path d=\"M 9.8125 72.90625 \nL 19.671875 72.90625 \nL 19.671875 8.296875 \nL 55.171875 8.296875 \nL 55.171875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-76\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"44.083984\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"105.265625\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"137.052734\" xlink:href=\"#DejaVuSans-80\"/>\n       <use x=\"195.105469\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"222.888672\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"320.300781\" xlink:href=\"#DejaVuSans-112\"/>\n       <use x=\"383.777344\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"415.564453\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"476.84375\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"508.630859\" xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"577.234375\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"640.613281\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"679.822266\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"719.03125\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"780.554688\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"821.667969\" xlink:href=\"#DejaVuSans-102\"/>\n       <use x=\"856.873047\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"884.65625\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"943.835938\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"975.623047\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1007.410156\" xlink:href=\"#DejaVuSans-75\"/>\n       <use x=\"1067.986328\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1129.509766\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"1192.888672\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"1256.365234\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1297.478516\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1325.261719\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"1380.242188\" xlink:href=\"#DejaVuSans-107\"/>\n       <use x=\"1438.152344\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1469.939453\" xlink:href=\"#DejaVuSans-76\"/>\n       <use x=\"1525.652344\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1586.931641\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"1684.34375\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1745.623047\" xlink:href=\"#DejaVuSans-114\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"82.974478\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- Donuts, J Dilla -->\n      <g transform=\"translate(238.803125 86.773696)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 19.671875 64.796875 \nL 19.671875 8.109375 \nL 31.59375 8.109375 \nQ 46.6875 8.109375 53.6875 14.9375 \nQ 60.6875 21.78125 60.6875 36.53125 \nQ 60.6875 51.171875 53.6875 57.984375 \nQ 46.6875 64.796875 31.59375 64.796875 \nz\nM 9.8125 72.90625 \nL 30.078125 72.90625 \nQ 51.265625 72.90625 61.171875 64.09375 \nQ 71.09375 55.28125 71.09375 36.53125 \nQ 71.09375 17.671875 61.125 8.828125 \nQ 51.171875 0 30.078125 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-68\"/>\n        <path d=\"M 9.8125 72.90625 \nL 19.671875 72.90625 \nL 19.671875 5.078125 \nQ 19.671875 -8.109375 14.671875 -14.0625 \nQ 9.671875 -20.015625 -1.421875 -20.015625 \nL -5.171875 -20.015625 \nL -5.171875 -11.71875 \nL -2.09375 -11.71875 \nQ 4.4375 -11.71875 7.125 -8.046875 \nQ 9.8125 -4.390625 9.8125 5.078125 \nz\n\" id=\"DejaVuSans-74\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"77.001953\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"138.183594\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"201.5625\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"264.941406\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"304.150391\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"356.25\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"388.037109\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"419.824219\" xlink:href=\"#DejaVuSans-74\"/>\n       <use x=\"449.316406\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"481.103516\" xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"558.105469\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"585.888672\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"613.671875\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"641.455078\" xlink:href=\"#DejaVuSans-97\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"95.37864\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- Lower Than Atlantis (The Black Edition), Lower Than Atlantis -->\n      <g transform=\"translate(7.2 99.177859)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 4.203125 54.6875 \nL 13.1875 54.6875 \nL 24.421875 12.015625 \nL 35.59375 54.6875 \nL 46.1875 54.6875 \nL 57.421875 12.015625 \nL 68.609375 54.6875 \nL 77.59375 54.6875 \nL 63.28125 0 \nL 52.6875 0 \nL 40.921875 44.828125 \nL 29.109375 0 \nL 18.5 0 \nz\n\" id=\"DejaVuSans-119\"/>\n        <path d=\"M 54.890625 33.015625 \nL 54.890625 0 \nL 45.90625 0 \nL 45.90625 32.71875 \nQ 45.90625 40.484375 42.875 44.328125 \nQ 39.84375 48.1875 33.796875 48.1875 \nQ 26.515625 48.1875 22.3125 43.546875 \nQ 18.109375 38.921875 18.109375 30.90625 \nL 18.109375 0 \nL 9.078125 0 \nL 9.078125 75.984375 \nL 18.109375 75.984375 \nL 18.109375 46.1875 \nQ 21.34375 51.125 25.703125 53.5625 \nQ 30.078125 56 35.796875 56 \nQ 45.21875 56 50.046875 50.171875 \nQ 54.890625 44.34375 54.890625 33.015625 \nz\n\" id=\"DejaVuSans-104\"/>\n        <path d=\"M 31 75.875 \nQ 24.46875 64.65625 21.28125 53.65625 \nQ 18.109375 42.671875 18.109375 31.390625 \nQ 18.109375 20.125 21.3125 9.0625 \nQ 24.515625 -2 31 -13.1875 \nL 23.1875 -13.1875 \nQ 15.875 -1.703125 12.234375 9.375 \nQ 8.59375 20.453125 8.59375 31.390625 \nQ 8.59375 42.28125 12.203125 53.3125 \nQ 15.828125 64.359375 23.1875 75.875 \nz\n\" id=\"DejaVuSans-40\"/>\n        <path d=\"M 9.8125 72.90625 \nL 55.90625 72.90625 \nL 55.90625 64.59375 \nL 19.671875 64.59375 \nL 19.671875 43.015625 \nL 54.390625 43.015625 \nL 54.390625 34.71875 \nL 19.671875 34.71875 \nL 19.671875 8.296875 \nL 56.78125 8.296875 \nL 56.78125 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-69\"/>\n        <path d=\"M 8.015625 75.875 \nL 15.828125 75.875 \nQ 23.140625 64.359375 26.78125 53.3125 \nQ 30.421875 42.28125 30.421875 31.390625 \nQ 30.421875 20.453125 26.78125 9.375 \nQ 23.140625 -1.703125 15.828125 -13.1875 \nL 8.015625 -13.1875 \nQ 14.5 -2 17.703125 9.0625 \nQ 20.90625 20.125 20.90625 31.390625 \nQ 20.90625 42.671875 17.703125 53.65625 \nQ 14.5 64.65625 8.015625 75.875 \nz\n\" id=\"DejaVuSans-41\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-76\"/>\n       <use x=\"53.962891\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"115.144531\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"196.931641\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"258.455078\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"299.568359\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"331.355469\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"392.439453\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"455.818359\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"517.097656\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"580.476562\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"612.263672\" xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"678.921875\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"718.130859\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"745.914062\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"807.193359\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"870.572266\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"909.78125\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"937.564453\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"989.664062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1021.451172\" xlink:href=\"#DejaVuSans-40\"/>\n       <use x=\"1060.464844\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"1121.548828\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"1184.927734\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1246.451172\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1278.238281\" xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"1346.841797\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1374.625\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1435.904297\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"1490.884766\" xlink:href=\"#DejaVuSans-107\"/>\n       <use x=\"1548.794922\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1580.582031\" xlink:href=\"#DejaVuSans-69\"/>\n       <use x=\"1643.765625\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"1707.242188\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1735.025391\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1774.234375\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1802.017578\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1863.199219\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"1926.578125\" xlink:href=\"#DejaVuSans-41\"/>\n       <use x=\"1965.591797\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1997.378906\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"2029.166016\" xlink:href=\"#DejaVuSans-76\"/>\n       <use x=\"2083.128906\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"2144.310547\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"2226.097656\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"2287.621094\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"2328.734375\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"2360.521484\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"2421.605469\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"2484.984375\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"2546.263672\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"2609.642578\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"2641.429688\" xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"2708.087891\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"2747.296875\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"2775.080078\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"2836.359375\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"2899.738281\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"2938.947266\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"2966.730469\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"107.782802\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- good kid, m.A.A.d city (Deluxe), Kendrick Lamar -->\n      <g transform=\"translate(69.440625 111.582021)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 10.6875 12.40625 \nL 21 12.40625 \nL 21 0 \nL 10.6875 0 \nz\n\" id=\"DejaVuSans-46\"/>\n        <path d=\"M 54.890625 54.6875 \nL 35.109375 28.078125 \nL 55.90625 0 \nL 45.3125 0 \nL 29.390625 21.484375 \nL 13.484375 0 \nL 2.875 0 \nL 24.125 28.609375 \nL 4.6875 54.6875 \nL 15.28125 54.6875 \nL 29.78125 35.203125 \nL 44.28125 54.6875 \nz\n\" id=\"DejaVuSans-120\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"63.476562\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"124.658203\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"185.839844\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"249.316406\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"281.103516\" xlink:href=\"#DejaVuSans-107\"/>\n       <use x=\"339.013672\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"366.796875\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"430.273438\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"462.060547\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"493.847656\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"591.259766\" xlink:href=\"#DejaVuSans-46\"/>\n       <use x=\"623.046875\" xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"689.705078\" xlink:href=\"#DejaVuSans-46\"/>\n       <use x=\"721.492188\" xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"788.150391\" xlink:href=\"#DejaVuSans-46\"/>\n       <use x=\"819.9375\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"883.414062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"915.201172\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"970.181641\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"997.964844\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1037.173828\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"1096.353516\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1128.140625\" xlink:href=\"#DejaVuSans-40\"/>\n       <use x=\"1167.154297\" xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"1244.15625\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1305.679688\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1333.462891\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"1396.841797\" xlink:href=\"#DejaVuSans-120\"/>\n       <use x=\"1452.896484\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1514.419922\" xlink:href=\"#DejaVuSans-41\"/>\n       <use x=\"1553.433594\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1585.220703\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1617.007812\" xlink:href=\"#DejaVuSans-75\"/>\n       <use x=\"1677.583984\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1739.107422\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"1802.486328\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"1865.962891\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1907.076172\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1934.859375\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"1989.839844\" xlink:href=\"#DejaVuSans-107\"/>\n       <use x=\"2047.75\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"2079.537109\" xlink:href=\"#DejaVuSans-76\"/>\n       <use x=\"2135.25\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"2196.529297\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"2293.941406\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"2355.220703\" xlink:href=\"#DejaVuSans-114\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_16\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"120.186964\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- Gang Signs &amp; Prayer, Stormzy -->\n      <g transform=\"translate(158.292188 123.986183)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 53.515625 70.515625 \nL 53.515625 60.890625 \nQ 47.90625 63.578125 42.921875 64.890625 \nQ 37.9375 66.21875 33.296875 66.21875 \nQ 25.25 66.21875 20.875 63.09375 \nQ 16.5 59.96875 16.5 54.203125 \nQ 16.5 49.359375 19.40625 46.890625 \nQ 22.3125 44.4375 30.421875 42.921875 \nL 36.375 41.703125 \nQ 47.40625 39.59375 52.65625 34.296875 \nQ 57.90625 29 57.90625 20.125 \nQ 57.90625 9.515625 50.796875 4.046875 \nQ 43.703125 -1.421875 29.984375 -1.421875 \nQ 24.8125 -1.421875 18.96875 -0.25 \nQ 13.140625 0.921875 6.890625 3.21875 \nL 6.890625 13.375 \nQ 12.890625 10.015625 18.65625 8.296875 \nQ 24.421875 6.59375 29.984375 6.59375 \nQ 38.421875 6.59375 43.015625 9.90625 \nQ 47.609375 13.234375 47.609375 19.390625 \nQ 47.609375 24.75 44.3125 27.78125 \nQ 41.015625 30.8125 33.5 32.328125 \nL 27.484375 33.5 \nQ 16.453125 35.6875 11.515625 40.375 \nQ 6.59375 45.0625 6.59375 53.421875 \nQ 6.59375 63.09375 13.40625 68.65625 \nQ 20.21875 74.21875 32.171875 74.21875 \nQ 37.3125 74.21875 42.625 73.28125 \nQ 47.953125 72.359375 53.515625 70.515625 \nz\n\" id=\"DejaVuSans-83\"/>\n        <path d=\"M 24.3125 39.203125 \nQ 19.875 35.25 17.796875 31.3125 \nQ 15.71875 27.390625 15.71875 23.09375 \nQ 15.71875 15.96875 20.890625 11.234375 \nQ 26.078125 6.5 33.890625 6.5 \nQ 38.53125 6.5 42.578125 8.03125 \nQ 46.625 9.578125 50.203125 12.703125 \nz\nM 31.203125 44.671875 \nL 56 19.28125 \nQ 58.890625 23.640625 60.5 28.59375 \nQ 62.109375 33.546875 62.40625 39.109375 \nL 71.484375 39.109375 \nQ 70.90625 32.671875 68.359375 26.359375 \nQ 65.828125 20.0625 61.28125 13.921875 \nL 74.90625 0 \nL 62.59375 0 \nL 55.609375 7.171875 \nQ 50.53125 2.828125 44.96875 0.703125 \nQ 39.40625 -1.421875 33.015625 -1.421875 \nQ 21.234375 -1.421875 13.765625 5.296875 \nQ 6.296875 12.015625 6.296875 22.515625 \nQ 6.296875 28.765625 9.5625 34.25 \nQ 12.84375 39.75 19.390625 44.578125 \nQ 17.046875 47.65625 15.8125 50.703125 \nQ 14.59375 53.765625 14.59375 56.6875 \nQ 14.59375 64.59375 20.015625 69.40625 \nQ 25.4375 74.21875 34.421875 74.21875 \nQ 38.484375 74.21875 42.5 73.34375 \nQ 46.53125 72.46875 50.6875 70.703125 \nL 50.6875 61.8125 \nQ 46.4375 64.109375 42.578125 65.296875 \nQ 38.71875 66.5 35.40625 66.5 \nQ 30.28125 66.5 27.078125 63.78125 \nQ 23.875 61.078125 23.875 56.78125 \nQ 23.875 54.296875 25.3125 51.78125 \nQ 26.765625 49.265625 31.203125 44.671875 \nz\n\" id=\"DejaVuSans-38\"/>\n        <path d=\"M 5.515625 54.6875 \nL 48.1875 54.6875 \nL 48.1875 46.484375 \nL 14.40625 7.171875 \nL 48.1875 7.171875 \nL 48.1875 0 \nL 4.296875 0 \nL 4.296875 8.203125 \nL 38.09375 47.515625 \nL 5.515625 47.515625 \nz\n\" id=\"DejaVuSans-122\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"77.490234\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"138.769531\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"202.148438\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"265.625\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"297.412109\" xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"360.888672\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"388.671875\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"452.148438\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"515.527344\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"567.626953\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"599.414062\" xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"677.392578\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"709.179688\" xlink:href=\"#DejaVuSans-80\"/>\n       <use x=\"767.732422\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"808.845703\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"870.125\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"929.304688\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"990.828125\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1031.941406\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1063.728516\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1095.515625\" xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"1158.992188\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1198.201172\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1259.382812\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1298.746094\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"1396.158203\" xlink:href=\"#DejaVuSans-122\"/>\n       <use x=\"1448.648438\" xlink:href=\"#DejaVuSans-121\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_17\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"132.591126\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- Run the Jewels 3, Run the Jewels -->\n      <g transform=\"translate(146.451562 136.390345)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 44.390625 34.1875 \nQ 47.5625 33.109375 50.5625 29.59375 \nQ 53.5625 26.078125 56.59375 19.921875 \nL 66.609375 0 \nL 56 0 \nL 46.6875 18.703125 \nQ 43.0625 26.03125 39.671875 28.421875 \nQ 36.28125 30.8125 30.421875 30.8125 \nL 19.671875 30.8125 \nL 19.671875 0 \nL 9.8125 0 \nL 9.8125 72.90625 \nL 32.078125 72.90625 \nQ 44.578125 72.90625 50.734375 67.671875 \nQ 56.890625 62.453125 56.890625 51.90625 \nQ 56.890625 45.015625 53.6875 40.46875 \nQ 50.484375 35.9375 44.390625 34.1875 \nz\nM 19.671875 64.796875 \nL 19.671875 38.921875 \nL 32.078125 38.921875 \nQ 39.203125 38.921875 42.84375 42.21875 \nQ 46.484375 45.515625 46.484375 51.90625 \nQ 46.484375 58.296875 42.84375 61.546875 \nQ 39.203125 64.796875 32.078125 64.796875 \nz\n\" id=\"DejaVuSans-82\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-82\"/>\n       <use x=\"64.982422\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"128.361328\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"191.740234\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"223.527344\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"262.736328\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"326.115234\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"387.638672\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"419.425781\" xlink:href=\"#DejaVuSans-74\"/>\n       <use x=\"448.917969\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"510.441406\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"592.228516\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"653.751953\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"681.535156\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"733.634766\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"765.421875\" xlink:href=\"#DejaVuSans-51\"/>\n       <use x=\"829.044922\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"860.832031\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"892.619141\" xlink:href=\"#DejaVuSans-82\"/>\n       <use x=\"957.601562\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"1020.980469\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"1084.359375\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1116.146484\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1155.355469\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"1218.734375\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1280.257812\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1312.044922\" xlink:href=\"#DejaVuSans-74\"/>\n       <use x=\"1341.537109\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1403.060547\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"1484.847656\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1546.371094\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1574.154297\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_18\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"144.995288\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- Stranger Fruit, Zeal &amp; Ardor -->\n      <g transform=\"translate(170.489063 148.794507)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 5.609375 72.90625 \nL 62.890625 72.90625 \nL 62.890625 65.375 \nL 16.796875 8.296875 \nL 64.015625 8.296875 \nL 64.015625 0 \nL 4.5 0 \nL 4.5 7.515625 \nL 50.59375 64.59375 \nL 5.609375 64.59375 \nz\n\" id=\"DejaVuSans-90\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"63.476562\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"102.685547\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"143.798828\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"205.078125\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"268.457031\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"331.933594\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"393.457031\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"434.570312\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"466.357422\" xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"516.626953\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"557.740234\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"621.119141\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"648.902344\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"688.111328\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"719.898438\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"751.685547\" xlink:href=\"#DejaVuSans-90\"/>\n       <use x=\"820.191406\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"881.714844\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"942.994141\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"970.777344\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1002.564453\" xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"1080.542969\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1112.330078\" xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"1180.738281\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1220.101562\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"1283.578125\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1344.759766\" xlink:href=\"#DejaVuSans-114\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_19\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"157.39945\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 1988, Knxwledge -->\n      <g transform=\"translate(222.49375 161.198669)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 10.984375 1.515625 \nL 10.984375 10.5 \nQ 14.703125 8.734375 18.5 7.8125 \nQ 22.3125 6.890625 25.984375 6.890625 \nQ 35.75 6.890625 40.890625 13.453125 \nQ 46.046875 20.015625 46.78125 33.40625 \nQ 43.953125 29.203125 39.59375 26.953125 \nQ 35.25 24.703125 29.984375 24.703125 \nQ 19.046875 24.703125 12.671875 31.3125 \nQ 6.296875 37.9375 6.296875 49.421875 \nQ 6.296875 60.640625 12.9375 67.421875 \nQ 19.578125 74.21875 30.609375 74.21875 \nQ 43.265625 74.21875 49.921875 64.515625 \nQ 56.59375 54.828125 56.59375 36.375 \nQ 56.59375 19.140625 48.40625 8.859375 \nQ 40.234375 -1.421875 26.421875 -1.421875 \nQ 22.703125 -1.421875 18.890625 -0.6875 \nQ 15.09375 0.046875 10.984375 1.515625 \nz\nM 30.609375 32.421875 \nQ 37.25 32.421875 41.125 36.953125 \nQ 45.015625 41.5 45.015625 49.421875 \nQ 45.015625 57.28125 41.125 61.84375 \nQ 37.25 66.40625 30.609375 66.40625 \nQ 23.96875 66.40625 20.09375 61.84375 \nQ 16.21875 57.28125 16.21875 49.421875 \nQ 16.21875 41.5 20.09375 36.953125 \nQ 23.96875 32.421875 30.609375 32.421875 \nz\n\" id=\"DejaVuSans-57\"/>\n        <path d=\"M 31.78125 34.625 \nQ 24.75 34.625 20.71875 30.859375 \nQ 16.703125 27.09375 16.703125 20.515625 \nQ 16.703125 13.921875 20.71875 10.15625 \nQ 24.75 6.390625 31.78125 6.390625 \nQ 38.8125 6.390625 42.859375 10.171875 \nQ 46.921875 13.96875 46.921875 20.515625 \nQ 46.921875 27.09375 42.890625 30.859375 \nQ 38.875 34.625 31.78125 34.625 \nz\nM 21.921875 38.8125 \nQ 15.578125 40.375 12.03125 44.71875 \nQ 8.5 49.078125 8.5 55.328125 \nQ 8.5 64.0625 14.71875 69.140625 \nQ 20.953125 74.21875 31.78125 74.21875 \nQ 42.671875 74.21875 48.875 69.140625 \nQ 55.078125 64.0625 55.078125 55.328125 \nQ 55.078125 49.078125 51.53125 44.71875 \nQ 48 40.375 41.703125 38.8125 \nQ 48.828125 37.15625 52.796875 32.3125 \nQ 56.78125 27.484375 56.78125 20.515625 \nQ 56.78125 9.90625 50.3125 4.234375 \nQ 43.84375 -1.421875 31.78125 -1.421875 \nQ 19.734375 -1.421875 13.25 4.234375 \nQ 6.78125 9.90625 6.78125 20.515625 \nQ 6.78125 27.484375 10.78125 32.3125 \nQ 14.796875 37.15625 21.921875 38.8125 \nz\nM 18.3125 54.390625 \nQ 18.3125 48.734375 21.84375 45.5625 \nQ 25.390625 42.390625 31.78125 42.390625 \nQ 38.140625 42.390625 41.71875 45.5625 \nQ 45.3125 48.734375 45.3125 54.390625 \nQ 45.3125 60.0625 41.71875 63.234375 \nQ 38.140625 66.40625 31.78125 66.40625 \nQ 25.390625 66.40625 21.84375 63.234375 \nQ 18.3125 60.0625 18.3125 54.390625 \nz\n\" id=\"DejaVuSans-56\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-57\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-56\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-56\"/>\n       <use x=\"254.492188\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"286.279297\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"318.066406\" xlink:href=\"#DejaVuSans-75\"/>\n       <use x=\"383.642578\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"447.021484\" xlink:href=\"#DejaVuSans-120\"/>\n       <use x=\"506.201172\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"587.988281\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"615.771484\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"677.294922\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"740.771484\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"804.248047\" xlink:href=\"#DejaVuSans-101\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_10\">\n     <g id=\"line2d_20\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"169.803612\"/>\n      </g>\n     </g>\n     <g id=\"text_16\">\n      <!-- Enter the Wu-Tang (36 Chambers), Wu-Tang Clan -->\n      <g transform=\"translate(66.15 173.602831)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 3.328125 72.90625 \nL 13.28125 72.90625 \nL 28.609375 11.28125 \nL 43.890625 72.90625 \nL 54.984375 72.90625 \nL 70.3125 11.28125 \nL 85.59375 72.90625 \nL 95.609375 72.90625 \nL 77.296875 0 \nL 64.890625 0 \nL 49.515625 63.28125 \nL 33.984375 0 \nL 21.578125 0 \nz\n\" id=\"DejaVuSans-87\"/>\n        <path d=\"M 4.890625 31.390625 \nL 31.203125 31.390625 \nL 31.203125 23.390625 \nL 4.890625 23.390625 \nz\n\" id=\"DejaVuSans-45\"/>\n        <path d=\"M 33.015625 40.375 \nQ 26.375 40.375 22.484375 35.828125 \nQ 18.609375 31.296875 18.609375 23.390625 \nQ 18.609375 15.53125 22.484375 10.953125 \nQ 26.375 6.390625 33.015625 6.390625 \nQ 39.65625 6.390625 43.53125 10.953125 \nQ 47.40625 15.53125 47.40625 23.390625 \nQ 47.40625 31.296875 43.53125 35.828125 \nQ 39.65625 40.375 33.015625 40.375 \nz\nM 52.59375 71.296875 \nL 52.59375 62.3125 \nQ 48.875 64.0625 45.09375 64.984375 \nQ 41.3125 65.921875 37.59375 65.921875 \nQ 27.828125 65.921875 22.671875 59.328125 \nQ 17.53125 52.734375 16.796875 39.40625 \nQ 19.671875 43.65625 24.015625 45.921875 \nQ 28.375 48.1875 33.59375 48.1875 \nQ 44.578125 48.1875 50.953125 41.515625 \nQ 57.328125 34.859375 57.328125 23.390625 \nQ 57.328125 12.15625 50.6875 5.359375 \nQ 44.046875 -1.421875 33.015625 -1.421875 \nQ 20.359375 -1.421875 13.671875 8.265625 \nQ 6.984375 17.96875 6.984375 36.375 \nQ 6.984375 53.65625 15.1875 63.9375 \nQ 23.390625 74.21875 37.203125 74.21875 \nQ 40.921875 74.21875 44.703125 73.484375 \nQ 48.484375 72.75 52.59375 71.296875 \nz\n\" id=\"DejaVuSans-54\"/>\n        <path d=\"M 64.40625 67.28125 \nL 64.40625 56.890625 \nQ 59.421875 61.53125 53.78125 63.8125 \nQ 48.140625 66.109375 41.796875 66.109375 \nQ 29.296875 66.109375 22.65625 58.46875 \nQ 16.015625 50.828125 16.015625 36.375 \nQ 16.015625 21.96875 22.65625 14.328125 \nQ 29.296875 6.6875 41.796875 6.6875 \nQ 48.140625 6.6875 53.78125 8.984375 \nQ 59.421875 11.28125 64.40625 15.921875 \nL 64.40625 5.609375 \nQ 59.234375 2.09375 53.4375 0.328125 \nQ 47.65625 -1.421875 41.21875 -1.421875 \nQ 24.65625 -1.421875 15.125 8.703125 \nQ 5.609375 18.84375 5.609375 36.375 \nQ 5.609375 53.953125 15.125 64.078125 \nQ 24.65625 74.21875 41.21875 74.21875 \nQ 47.75 74.21875 53.53125 72.484375 \nQ 59.328125 70.75 64.40625 67.28125 \nz\n\" id=\"DejaVuSans-67\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-69\"/>\n       <use x=\"63.183594\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"126.5625\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"165.771484\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"227.294922\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"268.408203\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"300.195312\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"339.404297\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"402.783203\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"464.306641\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"496.09375\" xlink:href=\"#DejaVuSans-87\"/>\n       <use x=\"591.345703\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"654.724609\" xlink:href=\"#DejaVuSans-45\"/>\n       <use x=\"681.683594\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"726.267578\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"787.546875\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"850.925781\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"914.402344\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"946.189453\" xlink:href=\"#DejaVuSans-40\"/>\n       <use x=\"985.203125\" xlink:href=\"#DejaVuSans-51\"/>\n       <use x=\"1048.826172\" xlink:href=\"#DejaVuSans-54\"/>\n       <use x=\"1112.449219\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1144.236328\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"1214.060547\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"1277.439453\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1338.71875\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"1436.130859\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"1499.607422\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1561.130859\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1602.244141\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1654.34375\" xlink:href=\"#DejaVuSans-41\"/>\n       <use x=\"1693.357422\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1725.144531\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1756.931641\" xlink:href=\"#DejaVuSans-87\"/>\n       <use x=\"1852.183594\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"1915.5625\" xlink:href=\"#DejaVuSans-45\"/>\n       <use x=\"1942.521484\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"1987.105469\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"2048.384766\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"2111.763672\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"2175.240234\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"2207.027344\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"2276.851562\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"2304.634766\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"2365.914062\" xlink:href=\"#DejaVuSans-110\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_11\">\n     <g id=\"line2d_21\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"182.207775\"/>\n      </g>\n     </g>\n     <g id=\"text_17\">\n      <!-- All These Countless Nights, Deaf Havana -->\n      <g transform=\"translate(104.8625 186.006993)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 9.8125 72.90625 \nL 23.09375 72.90625 \nL 55.421875 11.921875 \nL 55.421875 72.90625 \nL 64.984375 72.90625 \nL 64.984375 0 \nL 51.703125 0 \nL 19.390625 60.984375 \nL 19.390625 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-78\"/>\n        <path d=\"M 9.8125 72.90625 \nL 19.671875 72.90625 \nL 19.671875 43.015625 \nL 55.515625 43.015625 \nL 55.515625 72.90625 \nL 65.375 72.90625 \nL 65.375 0 \nL 55.515625 0 \nL 55.515625 34.71875 \nL 19.671875 34.71875 \nL 19.671875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-72\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"68.408203\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"96.191406\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"123.974609\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"155.761719\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"216.845703\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"280.224609\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"341.748047\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"393.847656\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"455.371094\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"487.158203\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"556.982422\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"618.164062\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"681.542969\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"744.921875\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"784.130859\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"811.914062\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"873.4375\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"925.537109\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"977.636719\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1009.423828\" xlink:href=\"#DejaVuSans-78\"/>\n       <use x=\"1084.228516\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1112.011719\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"1175.488281\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"1238.867188\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1278.076172\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1330.175781\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1361.962891\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1393.75\" xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"1470.751953\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1532.275391\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1593.554688\" xlink:href=\"#DejaVuSans-102\"/>\n       <use x=\"1628.759766\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1660.546875\" xlink:href=\"#DejaVuSans-72\"/>\n       <use x=\"1735.742188\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1797.021484\" xlink:href=\"#DejaVuSans-118\"/>\n       <use x=\"1856.201172\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1917.480469\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"1980.859375\" xlink:href=\"#DejaVuSans-97\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_12\">\n     <g id=\"line2d_22\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"194.611937\"/>\n      </g>\n     </g>\n     <g id=\"text_18\">\n      <!-- Fools and Worthless Liars, Deaf Havana -->\n      <g transform=\"translate(110.978125 198.411155)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"53.894531\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"115.076172\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"176.257812\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"204.041016\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"256.140625\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"287.927734\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"349.207031\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"412.585938\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"476.0625\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"507.849609\" xlink:href=\"#DejaVuSans-87\"/>\n       <use x=\"600.851562\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"662.033203\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"703.146484\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"742.355469\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"805.734375\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"833.517578\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"895.041016\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"947.140625\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"999.240234\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1031.027344\" xlink:href=\"#DejaVuSans-76\"/>\n       <use x=\"1086.740234\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1114.523438\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1175.802734\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1216.916016\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1269.015625\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1300.802734\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1332.589844\" xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"1409.591797\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1471.115234\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1532.394531\" xlink:href=\"#DejaVuSans-102\"/>\n       <use x=\"1567.599609\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1599.386719\" xlink:href=\"#DejaVuSans-72\"/>\n       <use x=\"1674.582031\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1735.861328\" xlink:href=\"#DejaVuSans-118\"/>\n       <use x=\"1795.041016\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1856.320312\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"1919.699219\" xlink:href=\"#DejaVuSans-97\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_13\">\n     <g id=\"line2d_23\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"207.016099\"/>\n      </g>\n     </g>\n     <g id=\"text_19\">\n      <!-- Yesterday's Gone, Loyle Carner -->\n      <g transform=\"translate(153.48125 210.815317)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M -0.203125 72.90625 \nL 10.40625 72.90625 \nL 30.609375 42.921875 \nL 50.6875 72.90625 \nL 61.28125 72.90625 \nL 35.5 34.71875 \nL 35.5 0 \nL 25.59375 0 \nL 25.59375 34.71875 \nz\n\" id=\"DejaVuSans-89\"/>\n        <path d=\"M 17.921875 72.90625 \nL 17.921875 45.796875 \nL 9.625 45.796875 \nL 9.625 72.90625 \nz\n\" id=\"DejaVuSans-39\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-89\"/>\n       <use x=\"47.833984\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"109.357422\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"161.457031\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"200.666016\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"262.189453\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"301.552734\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"365.029297\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"426.308594\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"485.488281\" xlink:href=\"#DejaVuSans-39\"/>\n       <use x=\"512.978516\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"565.078125\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"596.865234\" xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"674.355469\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"735.537109\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"798.916016\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"860.439453\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"892.226562\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"924.013672\" xlink:href=\"#DejaVuSans-76\"/>\n       <use x=\"977.976562\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1039.158203\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"1098.337891\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1126.121094\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1187.644531\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1219.431641\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"1289.255859\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1350.535156\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1389.898438\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"1453.277344\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1514.800781\" xlink:href=\"#DejaVuSans-114\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_14\">\n     <g id=\"line2d_24\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"219.420261\"/>\n      </g>\n     </g>\n     <g id=\"text_20\">\n      <!-- Settle (Special Edition), Disclosure -->\n      <g transform=\"translate(136.982812 223.21948)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"63.476562\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"125\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"164.208984\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"203.417969\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"231.201172\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"292.724609\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"324.511719\" xlink:href=\"#DejaVuSans-40\"/>\n       <use x=\"363.525391\" xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"427.001953\" xlink:href=\"#DejaVuSans-112\"/>\n       <use x=\"490.478516\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"552.001953\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"606.982422\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"634.765625\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"696.044922\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"723.828125\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"755.615234\" xlink:href=\"#DejaVuSans-69\"/>\n       <use x=\"818.798828\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"882.275391\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"910.058594\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"949.267578\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"977.050781\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1038.232422\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"1101.611328\" xlink:href=\"#DejaVuSans-41\"/>\n       <use x=\"1140.625\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1172.412109\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1204.199219\" xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"1281.201172\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1308.984375\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1361.083984\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"1416.064453\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1443.847656\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1505.029297\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1557.128906\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"1620.507812\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1659.371094\" xlink:href=\"#DejaVuSans-101\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_15\">\n     <g id=\"line2d_25\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"231.824423\"/>\n      </g>\n     </g>\n     <g id=\"text_21\">\n      <!-- Bandana, Freddie Gibbs -->\n      <g transform=\"translate(190.14375 235.623642)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"68.603516\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"129.882812\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"193.261719\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"256.738281\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"318.017578\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"381.396484\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"442.675781\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"474.462891\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"506.25\" xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"556.519531\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"595.382812\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"656.90625\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"720.382812\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"783.859375\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"811.642578\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"873.166016\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"904.953125\" xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"982.443359\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1010.226562\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"1073.703125\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"1137.179688\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_16\">\n     <g id=\"line2d_26\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"244.228585\"/>\n      </g>\n     </g>\n     <g id=\"text_22\">\n      <!-- Ready To Die The Remaster, The Notorious B.I.G. -->\n      <g transform=\"translate(65.045312 248.027804)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 9.8125 72.90625 \nL 19.671875 72.90625 \nL 19.671875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-73\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-82\"/>\n       <use x=\"64.982422\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"126.505859\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"187.785156\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"251.261719\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"310.441406\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"342.228516\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"386.3125\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"447.494141\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"479.28125\" xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"556.283203\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"584.066406\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"645.589844\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"677.376953\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"738.460938\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"801.839844\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"863.363281\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"895.150391\" xlink:href=\"#DejaVuSans-82\"/>\n       <use x=\"960.132812\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1021.65625\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"1119.068359\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1180.347656\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1232.447266\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1271.65625\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1333.179688\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1374.292969\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1406.080078\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1437.867188\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"1498.951172\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"1562.330078\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1623.853516\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1655.640625\" xlink:href=\"#DejaVuSans-78\"/>\n       <use x=\"1730.445312\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1791.626953\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1830.835938\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1892.017578\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1933.130859\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1960.914062\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"2022.095703\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"2085.474609\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"2137.574219\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"2169.361328\" xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"2237.964844\" xlink:href=\"#DejaVuSans-46\"/>\n       <use x=\"2269.751953\" xlink:href=\"#DejaVuSans-73\"/>\n       <use x=\"2299.244141\" xlink:href=\"#DejaVuSans-46\"/>\n       <use x=\"2331.03125\" xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"2408.521484\" xlink:href=\"#DejaVuSans-46\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_17\">\n     <g id=\"line2d_27\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"256.632747\"/>\n      </g>\n     </g>\n     <g id=\"text_23\">\n      <!-- DiCaprIo 2, Jid -->\n      <g transform=\"translate(237.982813 260.431966)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"77.001953\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"104.785156\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"174.609375\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"235.888672\" xlink:href=\"#DejaVuSans-112\"/>\n       <use x=\"299.365234\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"340.478516\" xlink:href=\"#DejaVuSans-73\"/>\n       <use x=\"369.970703\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"431.152344\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"462.939453\" xlink:href=\"#DejaVuSans-50\"/>\n       <use x=\"526.5625\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"558.349609\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"590.136719\" xlink:href=\"#DejaVuSans-74\"/>\n       <use x=\"619.628906\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"647.412109\" xlink:href=\"#DejaVuSans-100\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_18\">\n     <g id=\"line2d_28\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"269.036909\"/>\n      </g>\n     </g>\n     <g id=\"text_24\">\n      <!-- Freddie, Freddie Gibbs -->\n      <g transform=\"translate(197.71875 272.836128)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"50.269531\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"89.132812\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"150.65625\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"214.132812\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"277.609375\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"305.392578\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"366.916016\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"398.703125\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"430.490234\" xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"480.759766\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"519.623047\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"581.146484\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"644.623047\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"708.099609\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"735.882812\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"797.40625\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"829.193359\" xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"906.683594\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"934.466797\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"997.943359\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"1061.419922\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_19\">\n     <g id=\"line2d_29\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"281.441071\"/>\n      </g>\n     </g>\n     <g id=\"text_25\">\n      <!-- Original Pirate Material, The Streets -->\n      <g transform=\"translate(130.342187 285.24029)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 39.40625 66.21875 \nQ 28.65625 66.21875 22.328125 58.203125 \nQ 16.015625 50.203125 16.015625 36.375 \nQ 16.015625 22.609375 22.328125 14.59375 \nQ 28.65625 6.59375 39.40625 6.59375 \nQ 50.140625 6.59375 56.421875 14.59375 \nQ 62.703125 22.609375 62.703125 36.375 \nQ 62.703125 50.203125 56.421875 58.203125 \nQ 50.140625 66.21875 39.40625 66.21875 \nz\nM 39.40625 74.21875 \nQ 54.734375 74.21875 63.90625 63.9375 \nQ 73.09375 53.65625 73.09375 36.375 \nQ 73.09375 19.140625 63.90625 8.859375 \nQ 54.734375 -1.421875 39.40625 -1.421875 \nQ 24.03125 -1.421875 14.8125 8.828125 \nQ 5.609375 19.09375 5.609375 36.375 \nQ 5.609375 53.65625 14.8125 63.9375 \nQ 24.03125 74.21875 39.40625 74.21875 \nz\n\" id=\"DejaVuSans-79\"/>\n        <path d=\"M 9.8125 72.90625 \nL 24.515625 72.90625 \nL 43.109375 23.296875 \nL 61.8125 72.90625 \nL 76.515625 72.90625 \nL 76.515625 0 \nL 66.890625 0 \nL 66.890625 64.015625 \nL 48.09375 14.015625 \nL 38.1875 14.015625 \nL 19.390625 64.015625 \nL 19.390625 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-77\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-79\"/>\n       <use x=\"78.710938\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"119.824219\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"147.607422\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"211.083984\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"238.867188\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"302.246094\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"363.525391\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"391.308594\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"423.095703\" xlink:href=\"#DejaVuSans-80\"/>\n       <use x=\"481.148438\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"508.931641\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"550.044922\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"611.324219\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"650.533203\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"712.056641\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"743.84375\" xlink:href=\"#DejaVuSans-77\"/>\n       <use x=\"830.123047\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"891.402344\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"930.611328\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"992.134766\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1033.248047\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1061.03125\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1122.310547\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1150.09375\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1181.880859\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1213.667969\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"1274.751953\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"1338.130859\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1399.654297\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1431.441406\" xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"1494.917969\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1534.126953\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1572.990234\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1634.513672\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1696.037109\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1735.246094\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_20\">\n     <g id=\"line2d_30\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"293.845233\"/>\n      </g>\n     </g>\n     <g id=\"text_26\">\n      <!-- Sirens (Deluxe), Gorgon City -->\n      <g transform=\"translate(166.909375 297.644452)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"63.476562\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"91.259766\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"130.123047\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"191.646484\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"255.025391\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"307.125\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"338.912109\" xlink:href=\"#DejaVuSans-40\"/>\n       <use x=\"377.925781\" xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"454.927734\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"516.451172\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"544.234375\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"607.613281\" xlink:href=\"#DejaVuSans-120\"/>\n       <use x=\"663.667969\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"725.191406\" xlink:href=\"#DejaVuSans-41\"/>\n       <use x=\"764.205078\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"795.992188\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"827.779297\" xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"905.269531\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"966.451172\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1005.814453\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"1069.291016\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1130.472656\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"1193.851562\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1225.638672\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"1295.462891\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1323.246094\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1362.455078\" xlink:href=\"#DejaVuSans-121\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_21\">\n     <g id=\"line2d_31\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"306.249396\"/>\n      </g>\n     </g>\n     <g id=\"text_27\">\n      <!-- Hi This Is Flume (Mixtape), Flume -->\n      <g transform=\"translate(141.914062 310.048614)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-72\"/>\n       <use x=\"75.195312\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"102.978516\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"134.765625\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"195.849609\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"259.228516\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"287.011719\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"339.111328\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"370.898438\" xlink:href=\"#DejaVuSans-73\"/>\n       <use x=\"400.390625\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"452.490234\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"484.277344\" xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"541.796875\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"569.580078\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"632.958984\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"730.371094\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"791.894531\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"823.681641\" xlink:href=\"#DejaVuSans-40\"/>\n       <use x=\"862.695312\" xlink:href=\"#DejaVuSans-77\"/>\n       <use x=\"948.974609\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"976.757812\" xlink:href=\"#DejaVuSans-120\"/>\n       <use x=\"1035.9375\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1075.146484\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1136.425781\" xlink:href=\"#DejaVuSans-112\"/>\n       <use x=\"1199.902344\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1261.425781\" xlink:href=\"#DejaVuSans-41\"/>\n       <use x=\"1300.439453\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1332.226562\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1364.013672\" xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"1421.533203\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1449.316406\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"1512.695312\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"1610.107422\" xlink:href=\"#DejaVuSans-101\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_22\">\n     <g id=\"line2d_32\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"318.653558\"/>\n      </g>\n     </g>\n     <g id=\"text_28\">\n      <!-- DAMN., Kendrick Lamar -->\n      <g transform=\"translate(191.13125 322.452776)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"75.251953\" xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"143.660156\" xlink:href=\"#DejaVuSans-77\"/>\n       <use x=\"229.939453\" xlink:href=\"#DejaVuSans-78\"/>\n       <use x=\"304.744141\" xlink:href=\"#DejaVuSans-46\"/>\n       <use x=\"336.53125\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"368.318359\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"400.105469\" xlink:href=\"#DejaVuSans-75\"/>\n       <use x=\"460.681641\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"522.205078\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"585.583984\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"649.060547\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"690.173828\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"717.957031\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"772.9375\" xlink:href=\"#DejaVuSans-107\"/>\n       <use x=\"830.847656\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"862.634766\" xlink:href=\"#DejaVuSans-76\"/>\n       <use x=\"918.347656\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"979.626953\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"1077.039062\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1138.318359\" xlink:href=\"#DejaVuSans-114\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_23\">\n     <g id=\"line2d_33\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"331.05772\"/>\n      </g>\n     </g>\n     <g id=\"text_29\">\n      <!-- Anthology, Knxwledge -->\n      <g transform=\"translate(197.225 334.856938)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"68.408203\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"131.787109\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"170.996094\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"234.375\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"295.556641\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"323.339844\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"384.521484\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"447.998047\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"507.177734\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"538.964844\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"570.751953\" xlink:href=\"#DejaVuSans-75\"/>\n       <use x=\"636.328125\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"699.707031\" xlink:href=\"#DejaVuSans-120\"/>\n       <use x=\"758.886719\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"840.673828\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"868.457031\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"929.980469\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"993.457031\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"1056.933594\" xlink:href=\"#DejaVuSans-101\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_24\">\n     <g id=\"line2d_34\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"343.461882\"/>\n      </g>\n     </g>\n     <g id=\"text_30\">\n      <!-- Escape, Gorgon City -->\n      <g transform=\"translate(207.675 347.261101)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-69\"/>\n       <use x=\"63.183594\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"115.283203\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"170.263672\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"231.542969\" xlink:href=\"#DejaVuSans-112\"/>\n       <use x=\"295.019531\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"356.542969\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"388.330078\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"420.117188\" xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"497.607422\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"558.789062\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"598.152344\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"661.628906\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"722.810547\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"786.189453\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"817.976562\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"887.800781\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"915.583984\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"954.792969\" xlink:href=\"#DejaVuSans-121\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_25\">\n     <g id=\"line2d_35\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"355.866044\"/>\n      </g>\n     </g>\n     <g id=\"text_31\">\n      <!-- Let Them Eat Chaos, Kate Tempest -->\n      <g transform=\"translate(134.534375 359.665263)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-76\"/>\n       <use x=\"53.962891\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"115.486328\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"154.695312\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"186.482422\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"247.566406\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"310.945312\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"372.46875\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"469.880859\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"501.667969\" xlink:href=\"#DejaVuSans-69\"/>\n       <use x=\"564.851562\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"626.130859\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"665.339844\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"697.126953\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"766.951172\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"830.330078\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"891.609375\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"952.791016\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1004.890625\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1036.677734\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1068.464844\" xlink:href=\"#DejaVuSans-75\"/>\n       <use x=\"1132.291016\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1193.570312\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1232.779297\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1294.302734\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1326.089844\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"1370.173828\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1431.697266\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"1529.109375\" xlink:href=\"#DejaVuSans-112\"/>\n       <use x=\"1592.585938\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1654.109375\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1706.208984\" xlink:href=\"#DejaVuSans-116\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_26\">\n     <g id=\"line2d_36\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"368.270206\"/>\n      </g>\n     </g>\n     <g id=\"text_32\">\n      <!-- Flamagra, Flying Lotus -->\n      <g transform=\"translate(195.529688 372.069425)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"57.519531\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"85.302734\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"146.582031\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"243.994141\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"305.273438\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"368.75\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"409.863281\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"471.142578\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"502.929688\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"534.716797\" xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"592.236328\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"620.019531\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"679.199219\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"706.982422\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"770.361328\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"833.837891\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"865.625\" xlink:href=\"#DejaVuSans-76\"/>\n       <use x=\"919.587891\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"980.769531\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1019.978516\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"1083.357422\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_27\">\n     <g id=\"line2d_37\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"380.674368\"/>\n      </g>\n     </g>\n     <g id=\"text_33\">\n      <!-- Christmas (Deluxe Special Edition), Michael Bublé -->\n      <g transform=\"translate(59.64375 384.673587)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 56.203125 29.59375 \nL 56.203125 25.203125 \nL 14.890625 25.203125 \nQ 15.484375 15.921875 20.484375 11.0625 \nQ 25.484375 6.203125 34.421875 6.203125 \nQ 39.59375 6.203125 44.453125 7.46875 \nQ 49.3125 8.734375 54.109375 11.28125 \nL 54.109375 2.78125 \nQ 49.265625 0.734375 44.1875 -0.34375 \nQ 39.109375 -1.421875 33.890625 -1.421875 \nQ 20.796875 -1.421875 13.15625 6.1875 \nQ 5.515625 13.8125 5.515625 26.8125 \nQ 5.515625 40.234375 12.765625 48.109375 \nQ 20.015625 56 32.328125 56 \nQ 43.359375 56 49.78125 48.890625 \nQ 56.203125 41.796875 56.203125 29.59375 \nz\nM 47.21875 32.234375 \nQ 47.125 39.59375 43.09375 43.984375 \nQ 39.0625 48.390625 32.421875 48.390625 \nQ 24.90625 48.390625 20.390625 44.140625 \nQ 15.875 39.890625 15.1875 32.171875 \nz\nM 38.53125 79.984375 \nL 48.25 79.984375 \nL 32.34375 61.625 \nL 24.859375 61.625 \nz\n\" id=\"DejaVuSans-233\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"69.824219\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"133.203125\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"174.316406\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"202.099609\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"254.199219\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"293.408203\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"390.820312\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"452.099609\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"504.199219\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"535.986328\" xlink:href=\"#DejaVuSans-40\"/>\n       <use x=\"575\" xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"652.001953\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"713.525391\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"741.308594\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"804.6875\" xlink:href=\"#DejaVuSans-120\"/>\n       <use x=\"860.742188\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"922.265625\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"954.052734\" xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"1017.529297\" xlink:href=\"#DejaVuSans-112\"/>\n       <use x=\"1081.005859\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1142.529297\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"1197.509766\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1225.292969\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1286.572266\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1314.355469\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1346.142578\" xlink:href=\"#DejaVuSans-69\"/>\n       <use x=\"1409.326172\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"1472.802734\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1500.585938\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1539.794922\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1567.578125\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1628.759766\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"1692.138672\" xlink:href=\"#DejaVuSans-41\"/>\n       <use x=\"1731.152344\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1762.939453\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1794.726562\" xlink:href=\"#DejaVuSans-77\"/>\n       <use x=\"1881.005859\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1908.789062\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"1963.769531\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"2027.148438\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"2088.427734\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"2149.951172\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"2177.734375\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"2209.521484\" xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"2278.125\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"2341.503906\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"2404.980469\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"2432.763672\" xlink:href=\"#DejaVuSans-233\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_28\">\n     <g id=\"line2d_38\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"393.07853\"/>\n      </g>\n     </g>\n     <g id=\"text_34\">\n      <!-- Fetti, Curren$y -->\n      <g transform=\"translate(234.829688 396.877749)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 33.796875 -14.703125 \nL 28.90625 -14.703125 \nL 28.859375 0 \nQ 23.734375 0.09375 18.609375 1.1875 \nQ 13.484375 2.296875 8.296875 4.5 \nL 8.296875 13.28125 \nQ 13.28125 10.15625 18.375 8.5625 \nQ 23.484375 6.984375 28.90625 6.9375 \nL 28.90625 29.203125 \nQ 18.109375 30.953125 13.203125 35.15625 \nQ 8.296875 39.359375 8.296875 46.6875 \nQ 8.296875 54.640625 13.625 59.21875 \nQ 18.953125 63.8125 28.90625 64.5 \nL 28.90625 75.984375 \nL 33.796875 75.984375 \nL 33.796875 64.65625 \nQ 38.328125 64.453125 42.578125 63.6875 \nQ 46.828125 62.9375 50.875 61.625 \nL 50.875 53.078125 \nQ 46.828125 55.125 42.546875 56.25 \nQ 38.28125 57.375 33.796875 57.5625 \nL 33.796875 36.71875 \nQ 44.875 35.015625 50.09375 30.609375 \nQ 55.328125 26.21875 55.328125 18.609375 \nQ 55.328125 10.359375 49.78125 5.59375 \nQ 44.234375 0.828125 33.796875 0.09375 \nz\nM 28.90625 37.59375 \nL 28.90625 57.625 \nQ 23.25 56.984375 20.265625 54.390625 \nQ 17.28125 51.8125 17.28125 47.515625 \nQ 17.28125 43.3125 20.03125 40.96875 \nQ 22.796875 38.625 28.90625 37.59375 \nz\nM 33.796875 28.21875 \nL 33.796875 7.078125 \nQ 39.984375 7.90625 43.140625 10.59375 \nQ 46.296875 13.28125 46.296875 17.671875 \nQ 46.296875 21.96875 43.28125 24.5 \nQ 40.28125 27.046875 33.796875 28.21875 \nz\n\" id=\"DejaVuSans-36\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"52.019531\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"113.542969\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"152.751953\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"191.960938\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"219.744141\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"251.53125\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"283.318359\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"353.142578\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"416.521484\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"455.884766\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"494.748047\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"556.271484\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"619.650391\" xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"683.273438\" xlink:href=\"#DejaVuSans-121\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_29\">\n     <g id=\"line2d_39\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"405.482692\"/>\n      </g>\n     </g>\n     <g id=\"text_35\">\n      <!-- Bandana Beats, Freddie Gibbs -->\n      <g transform=\"translate(158.69375 409.281911)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"68.603516\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"129.882812\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"193.261719\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"256.738281\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"318.017578\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"381.396484\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"442.675781\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"474.462891\" xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"543.066406\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"604.589844\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"665.869141\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"705.078125\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"757.177734\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"788.964844\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"820.751953\" xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"871.021484\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"909.884766\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"971.408203\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"1034.884766\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"1098.361328\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1126.144531\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1187.667969\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1219.455078\" xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"1296.945312\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1324.728516\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"1388.205078\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"1451.681641\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_30\">\n     <g id=\"line2d_40\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"417.886854\"/>\n      </g>\n     </g>\n     <g id=\"text_36\">\n      <!-- Problems EP, Dawn Wall -->\n      <g transform=\"translate(188.645312 421.686073)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-80\"/>\n       <use x=\"58.552734\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"97.416016\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"158.597656\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"222.074219\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"249.857422\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"311.380859\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"408.792969\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"460.892578\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"492.679688\" xlink:href=\"#DejaVuSans-69\"/>\n       <use x=\"555.863281\" xlink:href=\"#DejaVuSans-80\"/>\n       <use x=\"616.166016\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"647.953125\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"679.740234\" xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"756.742188\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"818.021484\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"899.808594\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"963.1875\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"994.974609\" xlink:href=\"#DejaVuSans-87\"/>\n       <use x=\"1087.476562\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1148.755859\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1176.539062\" xlink:href=\"#DejaVuSans-108\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_31\">\n     <g id=\"line2d_41\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"430.291017\"/>\n      </g>\n     </g>\n     <g id=\"text_37\">\n      <!-- Twin Falls, Dawn Wall -->\n      <g transform=\"translate(203.598437 434.090235)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"44.583984\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"126.371094\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"154.154297\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"217.533203\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"249.320312\" xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"297.714844\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"358.994141\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"386.777344\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"414.560547\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"466.660156\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"498.447266\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"530.234375\" xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"607.236328\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"668.515625\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"750.302734\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"813.681641\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"845.46875\" xlink:href=\"#DejaVuSans-87\"/>\n       <use x=\"937.970703\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"999.25\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1027.033203\" xlink:href=\"#DejaVuSans-108\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_32\">\n     <g id=\"line2d_42\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"442.695179\"/>\n      </g>\n     </g>\n     <g id=\"text_38\">\n      <!-- In Colour, Jamie xx -->\n      <g transform=\"translate(215.039062 446.494397)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-73\"/>\n       <use x=\"29.492188\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"92.871094\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"124.658203\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"194.482422\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"255.664062\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"283.447266\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"344.628906\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"408.007812\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"449.121094\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"480.908203\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"512.695312\" xlink:href=\"#DejaVuSans-74\"/>\n       <use x=\"542.1875\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"603.466797\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"700.878906\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"728.662109\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"790.185547\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"821.972656\" xlink:href=\"#DejaVuSans-120\"/>\n       <use x=\"881.152344\" xlink:href=\"#DejaVuSans-120\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_33\">\n     <g id=\"line2d_43\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"455.099341\"/>\n      </g>\n     </g>\n     <g id=\"text_39\">\n      <!-- Tayi Bebba, Clap! Clap! -->\n      <g transform=\"translate(192.745313 458.89856)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 15.09375 12.40625 \nL 25 12.40625 \nL 25 0 \nL 15.09375 0 \nz\nM 15.09375 72.90625 \nL 25 72.90625 \nL 25 40.921875 \nL 24.03125 23.484375 \nL 16.109375 23.484375 \nL 15.09375 40.921875 \nz\n\" id=\"DejaVuSans-33\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"44.583984\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"105.863281\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"165.042969\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"192.826172\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"224.613281\" xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"293.216797\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"354.740234\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"418.216797\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"481.693359\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"542.972656\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"574.759766\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"606.546875\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"676.371094\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"704.154297\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"765.433594\" xlink:href=\"#DejaVuSans-112\"/>\n       <use x=\"828.910156\" xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"868.998047\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"900.785156\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"970.609375\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"998.392578\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1059.671875\" xlink:href=\"#DejaVuSans-112\"/>\n       <use x=\"1123.148438\" xlink:href=\"#DejaVuSans-33\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_34\">\n     <g id=\"line2d_44\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"467.503503\"/>\n      </g>\n     </g>\n     <g id=\"text_40\">\n      <!-- Point Pleasant, Brock Berrigan -->\n      <g transform=\"translate(158.046875 471.302722)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-80\"/>\n       <use x=\"56.677734\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"117.859375\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"145.642578\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"209.021484\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"248.230469\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"280.017578\" xlink:href=\"#DejaVuSans-80\"/>\n       <use x=\"340.320312\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"368.103516\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"429.626953\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"490.90625\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"543.005859\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"604.285156\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"667.664062\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"706.873047\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"738.660156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"770.447266\" xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"839.050781\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"877.914062\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"939.095703\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"994.076172\" xlink:href=\"#DejaVuSans-107\"/>\n       <use x=\"1051.986328\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1083.773438\" xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"1152.376953\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1213.900391\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1253.263672\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1294.376953\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1322.160156\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"1385.636719\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1446.916016\" xlink:href=\"#DejaVuSans-110\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_35\">\n     <g id=\"line2d_45\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"479.907665\"/>\n      </g>\n     </g>\n     <g id=\"text_41\">\n      <!-- Kids See Ghosts, Kids See Ghosts -->\n      <g transform=\"translate(141.820312 483.706884)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-75\"/>\n       <use x=\"65.576172\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"93.359375\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"156.835938\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"208.935547\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"240.722656\" xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"304.199219\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"365.722656\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"427.246094\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"459.033203\" xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"536.523438\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"599.902344\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"661.083984\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"713.183594\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"752.392578\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"804.492188\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"836.279297\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"868.066406\" xlink:href=\"#DejaVuSans-75\"/>\n       <use x=\"933.642578\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"961.425781\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"1024.902344\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1077.001953\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1108.789062\" xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"1172.265625\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1233.789062\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1295.3125\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1327.099609\" xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"1404.589844\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"1467.96875\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1529.150391\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1581.25\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1620.458984\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_36\">\n     <g id=\"line2d_46\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"492.311827\"/>\n      </g>\n     </g>\n     <g id=\"text_42\">\n      <!-- RITUALS, Deaf Havana -->\n      <g transform=\"translate(195.790625 496.111046)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 8.6875 72.90625 \nL 18.609375 72.90625 \nL 18.609375 28.609375 \nQ 18.609375 16.890625 22.84375 11.734375 \nQ 27.09375 6.59375 36.625 6.59375 \nQ 46.09375 6.59375 50.34375 11.734375 \nQ 54.59375 16.890625 54.59375 28.609375 \nL 54.59375 72.90625 \nL 64.5 72.90625 \nL 64.5 27.390625 \nQ 64.5 13.140625 57.4375 5.859375 \nQ 50.390625 -1.421875 36.625 -1.421875 \nQ 22.796875 -1.421875 15.734375 5.859375 \nQ 8.6875 13.140625 8.6875 27.390625 \nz\n\" id=\"DejaVuSans-85\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-82\"/>\n       <use x=\"69.482422\" xlink:href=\"#DejaVuSans-73\"/>\n       <use x=\"98.974609\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"160.058594\" xlink:href=\"#DejaVuSans-85\"/>\n       <use x=\"233.251953\" xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"301.660156\" xlink:href=\"#DejaVuSans-76\"/>\n       <use x=\"357.373047\" xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"420.849609\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"452.636719\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"484.423828\" xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"561.425781\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"622.949219\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"684.228516\" xlink:href=\"#DejaVuSans-102\"/>\n       <use x=\"719.433594\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"751.220703\" xlink:href=\"#DejaVuSans-72\"/>\n       <use x=\"826.416016\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"887.695312\" xlink:href=\"#DejaVuSans-118\"/>\n       <use x=\"946.875\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1008.154297\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"1071.533203\" xlink:href=\"#DejaVuSans-97\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_37\">\n     <g id=\"line2d_47\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"504.715989\"/>\n      </g>\n     </g>\n     <g id=\"text_43\">\n      <!-- Without Warning, 21 Savage -->\n      <g transform=\"translate(166.420312 508.515208)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-87\"/>\n       <use x=\"96.626953\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"124.410156\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"163.619141\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"226.998047\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"288.179688\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"351.558594\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"390.767578\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"422.554688\" xlink:href=\"#DejaVuSans-87\"/>\n       <use x=\"515.056641\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"576.335938\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"615.699219\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"679.078125\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"706.861328\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"770.240234\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"833.716797\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"865.503906\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"897.291016\" xlink:href=\"#DejaVuSans-50\"/>\n       <use x=\"960.914062\" xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"1024.537109\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1056.324219\" xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"1119.800781\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1181.080078\" xlink:href=\"#DejaVuSans-118\"/>\n       <use x=\"1240.259766\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1301.539062\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"1365.015625\" xlink:href=\"#DejaVuSans-101\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_38\">\n     <g id=\"line2d_48\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"517.120151\"/>\n      </g>\n     </g>\n     <g id=\"text_44\">\n      <!-- Avantdale Bowling Club, Avantdale Bowling Club -->\n      <g transform=\"translate(66.379687 520.91937)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"62.533203\" xlink:href=\"#DejaVuSans-118\"/>\n       <use x=\"121.712891\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"182.992188\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"246.371094\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"285.580078\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"349.056641\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"410.335938\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"438.119141\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"499.642578\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"531.429688\" xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"600.033203\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"661.214844\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"743.001953\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"770.785156\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"798.568359\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"861.947266\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"925.423828\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"957.210938\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"1027.035156\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1054.818359\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"1118.197266\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"1181.673828\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1213.460938\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1245.248047\" xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"1307.78125\" xlink:href=\"#DejaVuSans-118\"/>\n       <use x=\"1366.960938\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1428.240234\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"1491.619141\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1530.828125\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"1594.304688\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1655.583984\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1683.367188\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1744.890625\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1776.677734\" xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"1845.28125\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1906.462891\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"1988.25\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"2016.033203\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"2043.816406\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"2107.195312\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"2170.671875\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"2202.458984\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"2272.283203\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"2300.066406\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"2363.445312\" xlink:href=\"#DejaVuSans-98\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_39\">\n     <g id=\"line2d_49\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"529.524313\"/>\n      </g>\n     </g>\n     <g id=\"text_45\">\n      <!-- Madvillainy, Madvillain -->\n      <g transform=\"translate(195.595313 533.323532)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-77\"/>\n       <use x=\"86.279297\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"147.558594\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"211.035156\" xlink:href=\"#DejaVuSans-118\"/>\n       <use x=\"270.214844\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"297.998047\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"325.78125\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"353.564453\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"414.84375\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"442.626953\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"506.005859\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"565.185547\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"596.972656\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"628.759766\" xlink:href=\"#DejaVuSans-77\"/>\n       <use x=\"715.039062\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"776.318359\" xlink:href=\"#DejaVuSans-100\"/>\n       <use x=\"839.794922\" xlink:href=\"#DejaVuSans-118\"/>\n       <use x=\"898.974609\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"926.757812\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"954.541016\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"982.324219\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1043.603516\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1071.386719\" xlink:href=\"#DejaVuSans-110\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_40\">\n     <g id=\"line2d_50\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"541.928475\"/>\n      </g>\n     </g>\n     <g id=\"text_46\">\n      <!-- RTRN II JUNGLE, Chase &amp; Status -->\n      <g transform=\"translate(149.48125 545.727694)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-82\"/>\n       <use x=\"62.232422\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"123.316406\" xlink:href=\"#DejaVuSans-82\"/>\n       <use x=\"192.798828\" xlink:href=\"#DejaVuSans-78\"/>\n       <use x=\"267.603516\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"299.390625\" xlink:href=\"#DejaVuSans-73\"/>\n       <use x=\"328.882812\" xlink:href=\"#DejaVuSans-73\"/>\n       <use x=\"358.375\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"390.162109\" xlink:href=\"#DejaVuSans-74\"/>\n       <use x=\"419.654297\" xlink:href=\"#DejaVuSans-85\"/>\n       <use x=\"492.847656\" xlink:href=\"#DejaVuSans-78\"/>\n       <use x=\"567.652344\" xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"645.142578\" xlink:href=\"#DejaVuSans-76\"/>\n       <use x=\"700.855469\" xlink:href=\"#DejaVuSans-69\"/>\n       <use x=\"764.039062\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"795.826172\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"827.613281\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"897.4375\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"960.816406\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1022.095703\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1074.195312\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1135.71875\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1167.505859\" xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"1245.484375\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1277.271484\" xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"1340.748047\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1379.957031\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1441.236328\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1480.445312\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"1543.824219\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_41\">\n     <g id=\"line2d_51\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"554.332638\"/>\n      </g>\n     </g>\n     <g id=\"text_47\">\n      <!-- Awake, Illenium -->\n      <g transform=\"translate(230.535937 558.131856)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"64.408203\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"146.195312\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"207.474609\" xlink:href=\"#DejaVuSans-107\"/>\n       <use x=\"261.759766\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"323.283203\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"355.070312\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"386.857422\" xlink:href=\"#DejaVuSans-73\"/>\n       <use x=\"416.349609\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"444.132812\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"471.916016\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"533.439453\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"596.818359\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"624.601562\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"687.980469\" xlink:href=\"#DejaVuSans-109\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_42\">\n     <g id=\"line2d_52\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"566.7368\"/>\n      </g>\n     </g>\n     <g id=\"text_48\">\n      <!-- Skin, Flume -->\n      <g transform=\"translate(250.701563 570.536018)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"63.476562\" xlink:href=\"#DejaVuSans-107\"/>\n       <use x=\"121.386719\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"149.169922\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"212.548828\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"244.335938\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"276.123047\" xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"333.642578\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"361.425781\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"424.804688\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"522.216797\" xlink:href=\"#DejaVuSans-101\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_43\">\n     <g id=\"line2d_53\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"579.140962\"/>\n      </g>\n     </g>\n     <g id=\"text_49\">\n      <!-- Flower Boy, Tyler, The Creator -->\n      <g transform=\"translate(158.610938 582.940181)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"57.519531\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"85.302734\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"146.484375\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"228.271484\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"289.794922\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"330.908203\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"362.695312\" xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"431.298828\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"492.480469\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"551.660156\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"583.447266\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"615.234375\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"660.693359\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"719.873047\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"747.65625\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"809.179688\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"850.292969\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"882.080078\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"913.867188\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"974.951172\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"1038.330078\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1099.853516\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1131.640625\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"1201.464844\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1240.328125\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"1301.851562\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1363.130859\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1402.339844\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1463.521484\" xlink:href=\"#DejaVuSans-114\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_44\">\n     <g id=\"line2d_54\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"591.545124\"/>\n      </g>\n     </g>\n     <g id=\"text_50\">\n      <!-- DAYTONA, Pusha T -->\n      <g transform=\"translate(215.564063 595.344343)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"75.251953\" xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"135.910156\" xlink:href=\"#DejaVuSans-89\"/>\n       <use x=\"196.994141\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"258.078125\" xlink:href=\"#DejaVuSans-79\"/>\n       <use x=\"336.789062\" xlink:href=\"#DejaVuSans-78\"/>\n       <use x=\"411.59375\" xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"480.001953\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"511.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"543.576172\" xlink:href=\"#DejaVuSans-80\"/>\n       <use x=\"602.128906\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"665.507812\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"717.607422\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"780.986328\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"842.265625\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"874.052734\" xlink:href=\"#DejaVuSans-84\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_45\">\n     <g id=\"line2d_55\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"603.949286\"/>\n      </g>\n     </g>\n     <g id=\"text_51\">\n      <!-- Places We Don't Know, Kasbo -->\n      <g transform=\"translate(161.728125 607.748505)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-80\"/>\n       <use x=\"60.302734\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"88.085938\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"149.365234\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"204.345703\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"265.869141\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"317.96875\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"349.755859\" xlink:href=\"#DejaVuSans-87\"/>\n       <use x=\"442.757812\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"504.28125\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"536.068359\" xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"613.070312\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"674.251953\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"737.630859\" xlink:href=\"#DejaVuSans-39\"/>\n       <use x=\"765.121094\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"804.330078\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"836.117188\" xlink:href=\"#DejaVuSans-75\"/>\n       <use x=\"901.693359\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"965.072266\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1026.253906\" xlink:href=\"#DejaVuSans-119\"/>\n       <use x=\"1108.041016\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1139.828125\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1171.615234\" xlink:href=\"#DejaVuSans-75\"/>\n       <use x=\"1235.441406\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1296.720703\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1348.820312\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"1412.296875\" xlink:href=\"#DejaVuSans-111\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_46\">\n     <g id=\"line2d_56\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"616.353448\"/>\n      </g>\n     </g>\n     <g id=\"text_52\">\n      <!-- UKF Bass Culture 4, Various Artists -->\n      <g transform=\"translate(135.473437 620.152667)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 28.609375 0 \nL 0.78125 72.90625 \nL 11.078125 72.90625 \nL 34.1875 11.53125 \nL 57.328125 72.90625 \nL 67.578125 72.90625 \nL 39.796875 0 \nz\n\" id=\"DejaVuSans-86\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-85\"/>\n       <use x=\"73.193359\" xlink:href=\"#DejaVuSans-75\"/>\n       <use x=\"138.769531\" xlink:href=\"#DejaVuSans-70\"/>\n       <use x=\"196.289062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"228.076172\" xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"296.679688\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"357.958984\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"410.058594\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"462.158203\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"493.945312\" xlink:href=\"#DejaVuSans-67\"/>\n       <use x=\"563.769531\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"627.148438\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"654.931641\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"694.140625\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"757.519531\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"796.382812\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"857.90625\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"889.693359\" xlink:href=\"#DejaVuSans-52\"/>\n       <use x=\"953.316406\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"985.103516\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1016.890625\" xlink:href=\"#DejaVuSans-86\"/>\n       <use x=\"1077.548828\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1138.828125\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1179.941406\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1207.724609\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1268.90625\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"1332.285156\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1384.384766\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1416.171875\" xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"1484.580078\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1525.693359\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1564.902344\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1592.685547\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"1644.785156\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1683.994141\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_47\">\n     <g id=\"line2d_57\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"628.75761\"/>\n      </g>\n     </g>\n     <g id=\"text_53\">\n      <!-- Streams Of Thought Vol.2, Black Thought -->\n      <g transform=\"translate(102.651563 632.556829)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"63.476562\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"102.685547\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"141.548828\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"203.072266\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"264.351562\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"361.763672\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"413.863281\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"445.650391\" xlink:href=\"#DejaVuSans-79\"/>\n       <use x=\"524.361328\" xlink:href=\"#DejaVuSans-102\"/>\n       <use x=\"559.566406\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"591.353516\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"652.4375\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"715.816406\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"776.998047\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"840.376953\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"903.853516\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"967.232422\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1006.441406\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1038.228516\" xlink:href=\"#DejaVuSans-86\"/>\n       <use x=\"1098.886719\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1160.068359\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1187.851562\" xlink:href=\"#DejaVuSans-46\"/>\n       <use x=\"1219.638672\" xlink:href=\"#DejaVuSans-50\"/>\n       <use x=\"1283.261719\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"1315.048828\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1346.835938\" xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"1415.439453\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"1443.222656\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"1504.501953\" xlink:href=\"#DejaVuSans-99\"/>\n       <use x=\"1559.482422\" xlink:href=\"#DejaVuSans-107\"/>\n       <use x=\"1617.392578\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1649.179688\" xlink:href=\"#DejaVuSans-84\"/>\n       <use x=\"1710.263672\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"1773.642578\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"1834.824219\" xlink:href=\"#DejaVuSans-117\"/>\n       <use x=\"1898.203125\" xlink:href=\"#DejaVuSans-103\"/>\n       <use x=\"1961.679688\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"2025.058594\" xlink:href=\"#DejaVuSans-116\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_48\">\n     <g id=\"line2d_58\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"641.161772\"/>\n      </g>\n     </g>\n     <g id=\"text_54\">\n      <!-- Bottomless Pit, Death Grips -->\n      <g transform=\"translate(171.39375 644.960991)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-66\"/>\n       <use x=\"68.603516\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"129.785156\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"168.994141\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"208.203125\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"269.384766\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"366.796875\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"394.580078\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"456.103516\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"508.203125\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"560.302734\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"592.089844\" xlink:href=\"#DejaVuSans-80\"/>\n       <use x=\"650.142578\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"677.925781\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"717.134766\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"748.921875\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"780.708984\" xlink:href=\"#DejaVuSans-68\"/>\n       <use x=\"857.710938\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"919.234375\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"980.513672\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"1019.722656\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"1083.101562\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"1114.888672\" xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"1192.378906\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"1233.492188\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"1261.275391\" xlink:href=\"#DejaVuSans-112\"/>\n       <use x=\"1324.751953\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_49\">\n     <g id=\"line2d_59\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"653.565934\"/>\n      </g>\n     </g>\n     <g id=\"text_55\">\n      <!-- GREY Area, Little Simz -->\n      <g transform=\"translate(196.992188 657.365153)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"77.490234\" xlink:href=\"#DejaVuSans-82\"/>\n       <use x=\"146.972656\" xlink:href=\"#DejaVuSans-69\"/>\n       <use x=\"210.15625\" xlink:href=\"#DejaVuSans-89\"/>\n       <use x=\"271.240234\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"303.027344\" xlink:href=\"#DejaVuSans-65\"/>\n       <use x=\"371.435547\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"410.298828\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"471.822266\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"533.101562\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"564.888672\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"596.675781\" xlink:href=\"#DejaVuSans-76\"/>\n       <use x=\"652.388672\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"680.171875\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"719.380859\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"758.589844\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"786.373047\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"847.896484\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"879.683594\" xlink:href=\"#DejaVuSans-83\"/>\n       <use x=\"943.160156\" xlink:href=\"#DejaVuSans-105\"/>\n       <use x=\"970.943359\" xlink:href=\"#DejaVuSans-109\"/>\n       <use x=\"1068.355469\" xlink:href=\"#DejaVuSans-122\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_50\">\n     <g id=\"line2d_60\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.073438\" xlink:href=\"#m99c06f334b\" y=\"665.970097\"/>\n      </g>\n     </g>\n     <g id=\"text_56\">\n      <!-- Globes, Holy Goof -->\n      <g transform=\"translate(219.340625 669.769315)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"77.490234\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"105.273438\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"166.455078\" xlink:href=\"#DejaVuSans-98\"/>\n       <use x=\"229.931641\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"291.455078\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"343.554688\" xlink:href=\"#DejaVuSans-44\"/>\n       <use x=\"375.341797\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"407.128906\" xlink:href=\"#DejaVuSans-72\"/>\n       <use x=\"482.324219\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"543.505859\" xlink:href=\"#DejaVuSans-108\"/>\n       <use x=\"571.289062\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"630.46875\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"662.255859\" xlink:href=\"#DejaVuSans-71\"/>\n       <use x=\"739.746094\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"800.927734\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"862.109375\" xlink:href=\"#DejaVuSans-102\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"patch_53\">\n    <path d=\"M 316.073438 701.818125 \nL 316.073438 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_54\">\n    <path d=\"M 706.673437 701.818125 \nL 706.673437 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_55\">\n    <path d=\"M 316.073438 701.818125 \nL 706.673437 701.818125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_56\">\n    <path d=\"M 316.073438 22.318125 \nL 706.673437 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"text_57\">\n    <!-- Normalised listening time -->\n    <g transform=\"translate(434.416875 16.318125)scale(0.12 -0.12)\">\n     <use xlink:href=\"#DejaVuSans-78\"/>\n     <use x=\"74.804688\" xlink:href=\"#DejaVuSans-111\"/>\n     <use x=\"135.986328\" xlink:href=\"#DejaVuSans-114\"/>\n     <use x=\"175.349609\" xlink:href=\"#DejaVuSans-109\"/>\n     <use x=\"272.761719\" xlink:href=\"#DejaVuSans-97\"/>\n     <use x=\"334.041016\" xlink:href=\"#DejaVuSans-108\"/>\n     <use x=\"361.824219\" xlink:href=\"#DejaVuSans-105\"/>\n     <use x=\"389.607422\" xlink:href=\"#DejaVuSans-115\"/>\n     <use x=\"441.707031\" xlink:href=\"#DejaVuSans-101\"/>\n     <use x=\"503.230469\" xlink:href=\"#DejaVuSans-100\"/>\n     <use x=\"566.707031\" xlink:href=\"#DejaVuSans-32\"/>\n     <use x=\"598.494141\" xlink:href=\"#DejaVuSans-108\"/>\n     <use x=\"626.277344\" xlink:href=\"#DejaVuSans-105\"/>\n     <use x=\"654.060547\" xlink:href=\"#DejaVuSans-115\"/>\n     <use x=\"706.160156\" xlink:href=\"#DejaVuSans-116\"/>\n     <use x=\"745.369141\" xlink:href=\"#DejaVuSans-101\"/>\n     <use x=\"806.892578\" xlink:href=\"#DejaVuSans-110\"/>\n     <use x=\"870.271484\" xlink:href=\"#DejaVuSans-105\"/>\n     <use x=\"898.054688\" xlink:href=\"#DejaVuSans-110\"/>\n     <use x=\"961.433594\" xlink:href=\"#DejaVuSans-103\"/>\n     <use x=\"1024.910156\" xlink:href=\"#DejaVuSans-32\"/>\n     <use x=\"1056.697266\" xlink:href=\"#DejaVuSans-116\"/>\n     <use x=\"1095.90625\" xlink:href=\"#DejaVuSans-105\"/>\n     <use x=\"1123.689453\" xlink:href=\"#DejaVuSans-109\"/>\n     <use x=\"1221.101562\" xlink:href=\"#DejaVuSans-101\"/>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pfaf981f1b0\">\n   <rect height=\"679.5\" width=\"390.6\" x=\"316.073438\" y=\"22.318125\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 840x1500 with 1 Axes>"
+      ]
      },
      "metadata": {
       "needs_background": "light"
-     }
+     },
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -288,15 +423,15 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "# Imports & Setup"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -322,36 +457,72 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "## Read Scrobble Frame"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 3,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "query.csv not found, pulling\n"
+     ]
+    }
+   ],
    "source": [
     "scrobbles = get_query(cache=cache)"
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "## Write Scrobble Frame"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scrobbles.reset_index().to_csv(cache, sep='\\t')"
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": [
-    "scrobbles.reset_index().to_csv(cache, sep='\\t')"
-   ]
+   "source": []
   }
- ]
-}
\ No newline at end of file
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/playlist-nn.ipynb b/playlist-nn.ipynb
new file mode 100644
index 0000000..fd43951
--- /dev/null
+++ b/playlist-nn.ipynb
@@ -0,0 +1,417 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Playlist Neural Network\n",
+    "\n",
+    "Given a list of playlists, can unknown tracks be correctly classified?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 216,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# playlist_names = [\"RAP\", \"EDM\", \"ROCK\", \"METAL\", \"JAZZ\", \"POP\"] # super-genres\n",
+    "# playlist_names = [\"ALL RAP\", \"EDM\", \"ROCK\", \"METAL\", \"JAZZ\", \"POP\"] # super-genres\n",
+    "# playlist_names = [\"RAP\", \"EDM\", \"ROCK\", \"METAL\", \"JAZZ\"] # super-genres without POP\n",
+    "playlist_names = [\"ALL RAP\", \"EDM\", \"ROCK\", \"METAL\", \"JAZZ\"] # super-genres without POP\n",
+    "# playlist_names = [\"DNB\", \"HOUSE\", \"TECHNO\", \"GARAGE\", \"DUBSTEP\", \"BASS\"] # EDM playlists\n",
+    "# playlist_names = [\"20s rap\", \"10s rap\", \"00s rap\", \"90s rap\", \"80s rap\"] # rap decades\n",
+    "# playlist_names = [\"UK RAP\", \"US RAP\"] # UK/US split\n",
+    "# playlist_names = [\"uk rap\", \"grime\", \"drill\", \"afro bash\"] # british rap playlists\n",
+    "# playlist_names = [\"20s rap\", \"10s rap\", \"00s rap\", \"90s rap\", \"80s rap\", \"trap\", \"gangsta rap\", \"industrial rap\", \"weird rap\", \"jazz rap\", \"boom bap\", \"trap metal\"] # american rap playlists\n",
+    "# playlist_names = [\"rock\", \"indie\", \"punk\", \"pop rock\", \"bluesy rock\", \"hard rock\", \"chilled rock\", \"emo\", \"pop punk\", \"stoner rock/metal\", \"post-hardcore\", \"melodic hardcore\", \"art rock\", \"post-rock\", \"classic pop punk\", \"90s rock & grunge\", \"90s indie & britpop\", \"psych\"] # rock playlists\n",
+    "# playlist_names = [\"metal\", \"metalcore\", \"mathcore\", \"hardcore\", \"black metal\", \"death metal\", \"doom metal\", \"sludge metal\", \"classic metal\", \"industrial\", \"nu metal\", \"calm metal\", \"thrash metal\"] # metal playlists\n",
+    "\n",
+    "# headers = float_headers + [\"duration_ms\", \"mode\", \"loudness\", \"tempo\"]\n",
+    "headers = float_headers\n",
+    "\n",
+    "BALANCED_WEIGHTS = True"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Pull and process playlist information.\n",
+    "\n",
+    "1. Get live playlist track information from spotify\n",
+    "2. Filter listening history for these tracks\n",
+    "\n",
+    "Filter out tracks without features and drop duplicates before taking only the descriptor parameters"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 217,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "playlists = [get_playlist(i, spotnet) for i in playlist_names] # 1)\n",
+    "\n",
+    "# filter playlists by join with playlist track/artist names\n",
+    "filtered_playlists = [pd.merge(track_frame(i.tracks), scrobbles, on=['track', 'artist']) for i in playlists] # 2)\n",
+    "\n",
+    "filtered_playlists = [i[pd.notnull(i[\"uri\"])] for i in filtered_playlists]\n",
+    "# distinct on uri\n",
+    "filtered_playlists = [i.drop_duplicates(['uri']) for i in filtered_playlists]\n",
+    "# select only descriptor float columns\n",
+    "filtered_playlists = [i.loc[:, headers] for i in filtered_playlists]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Construct the dataset with associated labels before splitting into a train and test set."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 218,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dataset = pd.concat(filtered_playlists)\n",
+    "labels = [np.full(len(plst), idx) for idx, plst in enumerate(filtered_playlists)]\n",
+    "labels = np.concatenate(labels)\n",
+    "\n",
+    "# stratify: maintains class proportions in test and train set\n",
+    "data_train, data_test, labels_train, labels_test = train_test_split(dataset, labels, \n",
+    "                                                                    test_size=0.1, \n",
+    "#                                                                     random_state=70, \n",
+    "                                                                    stratify=labels\n",
+    "                                                                   )\n",
+    "\n",
+    "class_weights = class_weight.compute_class_weight('balanced',\n",
+    "                                                  classes=np.unique(labels_train),\n",
+    "                                                  y=labels_train)\n",
+    "class_weights = {i: j for i, j in zip(range(len(filtered_playlists)), class_weights)}\n",
+    "\n",
+    "labels_train = tf.one_hot(labels_train, len(filtered_playlists))\n",
+    "labels_test = tf.one_hot(labels_test, len(filtered_playlists))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 219,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def tensorboard_callback(path='tensorboard-logs', prefix=''):\n",
+    "    return tf.keras.callbacks.TensorBoard(\n",
+    "        log_dir=os.path.normpath(os.path.join(path, prefix + datetime.now().strftime(\"%Y%m%d-%H%M%S\"))), histogram_freq=1\n",
+    "    )"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 220,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_model(hidden_nodes=9,\n",
+    "              layers=1,\n",
+    "              classes=len(filtered_playlists),\n",
+    "              activation=lambda: 'sigmoid', \n",
+    "              weight_init=lambda: 'glorot_uniform'):\n",
+    "    l = [tf.keras.layers.InputLayer(input_shape=data_train.to_numpy()[0].shape, name='Input')]\n",
+    "    \n",
+    "    for i in range(layers):\n",
+    "        l.append(\n",
+    "            tf.keras.layers.Dense(hidden_nodes, \n",
+    "                                  activation=activation(), \n",
+    "                                  kernel_initializer=weight_init(), \n",
+    "                                  name=f'Hidden{i+1}')\n",
+    "        )\n",
+    "    \n",
+    "    l.append(tf.keras.layers.Dense(classes, \n",
+    "                                   activation='softmax', \n",
+    "                                   kernel_initializer=weight_init(), \n",
+    "                                   name='Output'))\n",
+    "    \n",
+    "    model = tf.keras.models.Sequential(l)\n",
+    "    return model"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Single Model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 226,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Model: \"sequential_27\"\n",
+      "_________________________________________________________________\n",
+      "Layer (type)                 Output Shape              Param #   \n",
+      "=================================================================\n",
+      "Hidden1 (Dense)              (None, 64)                512       \n",
+      "_________________________________________________________________\n",
+      "Hidden2 (Dense)              (None, 64)                4160      \n",
+      "_________________________________________________________________\n",
+      "Output (Dense)               (None, 5)                 325       \n",
+      "=================================================================\n",
+      "Total params: 4,997\n",
+      "Trainable params: 4,997\n",
+      "Non-trainable params: 0\n",
+      "_________________________________________________________________\n"
+     ]
+    }
+   ],
+   "source": [
+    "model = get_model(hidden_nodes=64, layers=2)\n",
+    "\n",
+    "model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=0.01), \n",
+    "#               optimizer=tf.keras.optimizers.SGD(learning_rate=0.01, momentum=0.9),\n",
+    "              loss='categorical_crossentropy', \n",
+    "              metrics=['accuracy'])\n",
+    "model.summary()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Train"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 227,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if BALANCED_WEIGHTS:\n",
+    "    cw = class_weights\n",
+    "else:\n",
+    "    cw = None\n",
+    "history = model.fit(data_train.to_numpy(), labels_train, \n",
+    "                    callbacks=[tensorboard_callback()], \n",
+    "                    validation_split=0.11,\n",
+    "                    verbose=0,\n",
+    "                    class_weight=cw,\n",
+    "                    epochs=50)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 228,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 720x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "history.history\n",
+    "plt.plot(range(len(history.history[\"accuracy\"])), history.history[\"accuracy\"], label=\"Train\", c=(0, 0, 1))\n",
+    "plt.plot(range(len(history.history[\"val_accuracy\"])), history.history[\"val_accuracy\"], label=\"Validation\", c=(1, 0, 0))\n",
+    "\n",
+    "plt.xlabel(\"Epochs\")\n",
+    "plt.ylabel(\"Accuracy\")\n",
+    "plt.ylim(0, 1)\n",
+    "\n",
+    "plt.grid()\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Test\n",
+    "\n",
+    "Single number below from the evaluate function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 229,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "10/10 [==============================] - 0s 857us/step - loss: 0.6952 - accuracy: 0.7792\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "[0.6951839327812195, 0.7791798114776611]"
+      ]
+     },
+     "execution_count": 229,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "model.evaluate(data_test.to_numpy(), labels_test)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Get raw predictions from test data to generate a confusion matrix"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 230,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 720x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "predictions = model(data_test.to_numpy())\n",
+    "\n",
+    "conf = tf.math.confusion_matrix([tf.math.argmax(i) for i in labels_test], \n",
+    "                                [tf.math.argmax(i) for i in predictions], \n",
+    "                                num_classes=len(filtered_playlists))\n",
+    "\n",
+    "normalised_conf = np.ndarray((len(filtered_playlists), len(filtered_playlists)))\n",
+    "for idx, row in enumerate(conf):\n",
+    "    normalised_conf[idx, :] = row / np.sum(row)\n",
+    "\n",
+    "sns.heatmap(normalised_conf, \n",
+    "            annot=True, \n",
+    "            xticklabels=playlist_names, yticklabels=playlist_names, \n",
+    "            cmap='inferno')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Imports & Setup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from datetime import datetime\n",
+    "import os\n",
+    "\n",
+    "from google.cloud import bigquery\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib as mpl\n",
+    "mpl.rcParams['figure.dpi'] = 120\n",
+    "import seaborn as sns\n",
+    "\n",
+    "from analysis.net import get_spotnet, get_playlist, track_frame\n",
+    "from analysis.query import *\n",
+    "from analysis import spotify_descriptor_headers, float_headers, days_since\n",
+    "\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "from sklearn import svm\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.metrics import plot_confusion_matrix\n",
+    "from sklearn.utils import class_weight\n",
+    "\n",
+    "import tensorflow as tf\n",
+    "\n",
+    "client = bigquery.Client()\n",
+    "spotnet = get_spotnet()\n",
+    "cache = 'query.csv'\n",
+    "first_day = datetime(year=2017, month=11, day=3)\n",
+    "sig_max, c_max = 0.5, 20"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Read Scrobble Frame"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scrobbles = get_query(cache=cache)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Write Scrobble Frame"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scrobbles.reset_index().to_csv(cache, sep='\\t')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/playlist-classifier.ipynb b/playlist-svm.ipynb
similarity index 99%
rename from playlist-classifier.ipynb
rename to playlist-svm.ipynb
index e50e4a7..3d33b58 100644
--- a/playlist-classifier.ipynb
+++ b/playlist-svm.ipynb
@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Playlist Classifier\n",
+    "# Playlist SVM\n",
     "\n",
     "Given a list of playlists, can unknown tracks be correctly classified?"
    ]
@@ -521,7 +521,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.4"
+   "version": "3.8.9"
   }
  },
  "nbformat": 4,
diff --git a/poetry.lock b/poetry.lock
index 598e767..611deb5 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,6 +1,17 @@
+[[package]]
+name = "absl-py"
+version = "0.12.0"
+description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+six = "*"
+
 [[package]]
 name = "anyio"
-version = "2.1.0"
+version = "2.2.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 category = "main"
 optional = true
@@ -13,7 +24,7 @@ sniffio = ">=1.1"
 [package.extras]
 curio = ["curio (>=1.4)"]
 doc = ["sphinx-rtd-theme", "sphinx-autodoc-typehints (>=1.2.0)"]
-test = ["coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "pytest (>=6.0)", "trustme", "uvloop"]
+test = ["coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "pytest (>=6.0)", "trustme", "uvloop (<0.15)", "uvloop (>=0.15)"]
 trio = ["trio (>=0.16)"]
 
 [[package]]
@@ -43,16 +54,26 @@ tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pytest"]
 
 [[package]]
 name = "astroid"
-version = "2.4.2"
+version = "2.5.6"
 description = "An abstract syntax tree for Python with inference support."
 category = "dev"
 optional = false
-python-versions = ">=3.5"
+python-versions = "~=3.6"
 
 [package.dependencies]
-lazy-object-proxy = ">=1.4.0,<1.5.0"
-six = ">=1.12,<2.0"
-wrapt = ">=1.11,<2.0"
+lazy-object-proxy = ">=1.4.0"
+wrapt = ">=1.11,<1.13"
+
+[[package]]
+name = "astunparse"
+version = "1.6.3"
+description = "An AST unparser for Python"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+six = ">=1.6.1,<2.0"
 
 [[package]]
 name = "async-generator"
@@ -78,7 +99,7 @@ tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>
 
 [[package]]
 name = "babel"
-version = "2.9.0"
+version = "2.9.1"
 description = "Internationalization utilities"
 category = "main"
 optional = true
@@ -125,7 +146,7 @@ webencodings = "*"
 
 [[package]]
 name = "cachetools"
-version = "4.2.1"
+version = "4.2.2"
 description = "Extensible memoizing collections and decorators"
 category = "main"
 optional = false
@@ -187,20 +208,31 @@ six = "*"
 
 [[package]]
 name = "decorator"
-version = "4.4.2"
+version = "5.0.7"
 description = "Decorators for Humans"
 category = "main"
 optional = false
-python-versions = ">=2.6, !=3.0.*, !=3.1.*"
+python-versions = ">=3.5"
 
 [[package]]
 name = "defusedxml"
-version = "0.6.0"
+version = "0.7.1"
 description = "XML bomb protection for Python stdlib modules"
 category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
+[[package]]
+name = "deprecation"
+version = "2.1.0"
+description = "A library to handle automated deprecations"
+category = "main"
+optional = true
+python-versions = "*"
+
+[package.dependencies]
+packaging = "*"
+
 [[package]]
 name = "entrypoints"
 version = "0.3"
@@ -209,13 +241,21 @@ category = "main"
 optional = false
 python-versions = ">=2.7"
 
+[[package]]
+name = "flatbuffers"
+version = "1.12"
+description = "The FlatBuffers serialization format for Python"
+category = "main"
+optional = false
+python-versions = "*"
+
 [[package]]
 name = "fmframework"
-version = "1.0.1"
+version = "1.0.0"
 description = "Last.fm HTTP wrapper library"
 category = "main"
 optional = false
-python-versions = "^3.6"
+python-versions = "^3.8"
 develop = false
 
 [package.dependencies]
@@ -229,9 +269,17 @@ image = []
 type = "directory"
 url = "../fmframework"
 
+[[package]]
+name = "gast"
+version = "0.3.3"
+description = "Python AST that abstracts the underlying Python version"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
 [[package]]
 name = "google-api-core"
-version = "1.26.0"
+version = "1.26.3"
 description = "Google API client core library"
 category = "main"
 optional = false
@@ -254,7 +302,7 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2)"]
 
 [[package]]
 name = "google-auth"
-version = "1.27.0"
+version = "1.30.0"
 description = "Google Authentication Library"
 category = "main"
 optional = false
@@ -269,10 +317,26 @@ six = ">=1.9.0"
 [package.extras]
 aiohttp = ["aiohttp (>=3.6.2,<4.0.0dev)"]
 pyopenssl = ["pyopenssl (>=20.0.0)"]
+reauth = ["pyu2f (>=0.1.5)"]
+
+[[package]]
+name = "google-auth-oauthlib"
+version = "0.4.4"
+description = "Google Authentication Library"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+google-auth = ">=1.0.0"
+requests-oauthlib = ">=0.7.0"
+
+[package.extras]
+tool = ["click (>=6.0.0)"]
 
 [[package]]
 name = "google-cloud-bigquery"
-version = "2.9.0"
+version = "2.15.0"
 description = "Google BigQuery API client library"
 category = "main"
 optional = false
@@ -282,16 +346,37 @@ python-versions = ">=3.6, <3.10"
 google-api-core = {version = ">=1.23.0,<2.0.0dev", extras = ["grpc"]}
 google-cloud-core = ">=1.4.1,<2.0dev"
 google-resumable-media = ">=0.6.0,<2.0dev"
+packaging = ">=14.3"
 proto-plus = ">=1.10.0"
 protobuf = ">=3.12.0"
+requests = ">=2.18.0,<3.0.0dev"
 
 [package.extras]
-all = ["google-cloud-bigquery-storage (>=2.0.0,<3.0.0dev)", "grpcio (>=1.32.0,<2.0dev)", "pyarrow (>=1.0.0,<4.0dev)", "pandas (>=0.23.0)", "tqdm (>=4.7.4,<5.0.0dev)", "opentelemetry-api (==0.11b0)", "opentelemetry-sdk (==0.11b0)", "opentelemetry-instrumentation (==0.11b0)"]
+all = ["google-cloud-bigquery-storage (>=2.0.0,<3.0.0dev)", "grpcio (>=1.32.0,<2.0dev)", "pyarrow (>=1.0.0,<4.0dev)", "pandas (>=0.23.0)", "tqdm (>=4.7.4,<5.0.0dev)", "opentelemetry-api (>=0.11b0)", "opentelemetry-sdk (>=0.11b0)", "opentelemetry-instrumentation (>=0.11b0)"]
+bignumeric_type = ["pyarrow (>=3.0.0,<4.0dev)"]
 bqstorage = ["google-cloud-bigquery-storage (>=2.0.0,<3.0.0dev)", "grpcio (>=1.32.0,<2.0dev)", "pyarrow (>=1.0.0,<4.0dev)"]
-opentelemetry = ["opentelemetry-api (==0.11b0)", "opentelemetry-sdk (==0.11b0)", "opentelemetry-instrumentation (==0.11b0)"]
+opentelemetry = ["opentelemetry-api (>=0.11b0)", "opentelemetry-sdk (>=0.11b0)", "opentelemetry-instrumentation (>=0.11b0)"]
 pandas = ["pandas (>=0.23.0)", "pyarrow (>=1.0.0,<4.0dev)"]
 tqdm = ["tqdm (>=4.7.4,<5.0.0dev)"]
 
+[[package]]
+name = "google-cloud-bigquery-storage"
+version = "2.4.0"
+description = "BigQuery Storage API API client library"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+google-api-core = {version = ">=1.22.2,<2.0.0dev", extras = ["grpc"]}
+libcst = ">=0.2.5"
+proto-plus = ">=1.4.0"
+
+[package.extras]
+fastavro = ["fastavro (>=0.21.2)"]
+pandas = ["pandas (>=0.21.1)"]
+pyarrow = ["pyarrow (>=0.15.0)"]
+
 [[package]]
 name = "google-cloud-core"
 version = "1.6.0"
@@ -322,6 +407,17 @@ cffi = ">=1.0.0"
 [package.extras]
 testing = ["pytest"]
 
+[[package]]
+name = "google-pasta"
+version = "0.2.0"
+description = "pasta is an AST-based Python refactoring library"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+six = "*"
+
 [[package]]
 name = "google-resumable-media"
 version = "1.2.0"
@@ -340,21 +436,21 @@ requests = ["requests (>=2.18.0,<3.0.0dev)"]
 
 [[package]]
 name = "googleapis-common-protos"
-version = "1.52.0"
+version = "1.53.0"
 description = "Common protobufs used in Google APIs"
 category = "main"
 optional = false
-python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*"
+python-versions = ">=3.6"
 
 [package.dependencies]
-protobuf = ">=3.6.0"
+protobuf = ">=3.12.0"
 
 [package.extras]
 grpc = ["grpcio (>=1.0.0)"]
 
 [[package]]
 name = "grpcio"
-version = "1.35.0"
+version = "1.32.0"
 description = "HTTP/2-based RPC framework"
 category = "main"
 optional = false
@@ -364,7 +460,19 @@ python-versions = "*"
 six = ">=1.5.2"
 
 [package.extras]
-protobuf = ["grpcio-tools (>=1.35.0)"]
+protobuf = ["grpcio-tools (>=1.32.0)"]
+
+[[package]]
+name = "h5py"
+version = "2.10.0"
+description = "Read and write HDF5 files from Python"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+numpy = ">=1.7"
+six = "*"
 
 [[package]]
 name = "idna"
@@ -376,7 +484,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "ipykernel"
-version = "5.4.3"
+version = "5.5.4"
 description = "IPython Kernel for Jupyter"
 category = "main"
 optional = false
@@ -407,7 +515,7 @@ matplotlib = ">=2.0.0"
 
 [[package]]
 name = "ipython"
-version = "7.20.0"
+version = "7.23.1"
 description = "IPython: Productive Interactive Computing"
 category = "main"
 optional = false
@@ -419,6 +527,7 @@ backcall = "*"
 colorama = {version = "*", markers = "sys_platform == \"win32\""}
 decorator = "*"
 jedi = ">=0.16"
+matplotlib-inline = "*"
 pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""}
 pickleshare = "*"
 prompt-toolkit = ">=2.0.0,<3.0.0 || >3.0.0,<3.0.1 || >3.0.1,<3.1.0"
@@ -426,7 +535,7 @@ pygments = "*"
 traitlets = ">=4.2"
 
 [package.extras]
-all = ["Sphinx (>=1.3)", "ipykernel", "ipyparallel", "ipywidgets", "nbconvert", "nbformat", "nose (>=0.10.1)", "notebook", "numpy (>=1.14)", "pygments", "qtconsole", "requests", "testpath"]
+all = ["Sphinx (>=1.3)", "ipykernel", "ipyparallel", "ipywidgets", "nbconvert", "nbformat", "nose (>=0.10.1)", "notebook", "numpy (>=1.16)", "pygments", "qtconsole", "requests", "testpath"]
 doc = ["Sphinx (>=1.3)"]
 kernel = ["ipykernel"]
 nbconvert = ["nbconvert"]
@@ -434,7 +543,7 @@ nbformat = ["nbformat"]
 notebook = ["notebook", "ipywidgets"]
 parallel = ["ipyparallel"]
 qtconsole = ["qtconsole"]
-test = ["nose (>=0.10.1)", "requests", "testpath", "pygments", "nbformat", "ipykernel", "numpy (>=1.14)"]
+test = ["nose (>=0.10.1)", "requests", "testpath", "pygments", "nbformat", "ipykernel", "numpy (>=1.16)"]
 
 [[package]]
 name = "ipython-genutils"
@@ -465,7 +574,7 @@ test = ["pytest (>=3.6.0)", "pytest-cov", "mock"]
 
 [[package]]
 name = "isort"
-version = "5.7.0"
+version = "5.8.0"
 description = "A Python utility / library to sort Python imports."
 category = "dev"
 optional = false
@@ -543,14 +652,15 @@ format_nongpl = ["idna", "jsonpointer (>1.13)", "webcolors", "rfc3986-validator
 
 [[package]]
 name = "jupyter-client"
-version = "6.1.11"
+version = "6.2.0"
 description = "Jupyter protocol implementation and client libraries"
 category = "main"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.6.1"
 
 [package.dependencies]
 jupyter-core = ">=4.6.0"
+nest-asyncio = ">=1.5"
 python-dateutil = ">=2.1"
 pyzmq = ">=13"
 tornado = ">=4.1"
@@ -558,7 +668,7 @@ traitlets = "*"
 
 [package.extras]
 doc = ["sphinx (>=1.3.6)", "sphinx-rtd-theme", "sphinxcontrib-github-alt"]
-test = ["jedi (<=0.17.2)", "ipykernel", "ipython", "mock", "pytest", "pytest-asyncio", "async-generator", "pytest-timeout"]
+test = ["async-generator", "ipykernel", "ipython", "mock", "pytest-asyncio", "pytest-timeout", "pytest", "mypy", "pre-commit", "jedi (<0.18)"]
 
 [[package]]
 name = "jupyter-core"
@@ -572,20 +682,38 @@ python-versions = ">=3.6"
 pywin32 = {version = ">=1.0", markers = "sys_platform == \"win32\""}
 traitlets = "*"
 
+[[package]]
+name = "jupyter-packaging"
+version = "0.9.2"
+description = "Jupyter Packaging Utilities."
+category = "main"
+optional = true
+python-versions = ">=3.6"
+
+[package.dependencies]
+deprecation = "*"
+packaging = "*"
+tomlkit = "*"
+
+[package.extras]
+test = ["build", "coverage", "pytest", "pytest-cov", "pytest-mock"]
+
 [[package]]
 name = "jupyter-server"
-version = "1.4.0"
+version = "1.6.4"
 description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
 category = "main"
 optional = true
 python-versions = ">=3.6"
 
 [package.dependencies]
-anyio = ">=2.0.2"
+anyio = ">=2.0.2,<3"
+argon2-cffi = "*"
 ipython-genutils = "*"
 jinja2 = "*"
 jupyter-client = ">=6.1.1"
 jupyter-core = ">=4.4.0"
+jupyter-packaging = ">=0.9,<1.0"
 nbconvert = "*"
 nbformat = "*"
 prometheus-client = "*"
@@ -597,11 +725,11 @@ tornado = ">=6.1.0"
 traitlets = ">=4.2.1"
 
 [package.extras]
-test = ["coverage", "requests", "pytest", "pytest-cov", "pytest-tornasync", "pytest-console-scripts", "ipykernel"]
+test = ["coverage", "pytest", "pytest-cov", "pytest-mock", "requests", "pytest-tornasync", "pytest-console-scripts", "ipykernel"]
 
 [[package]]
 name = "jupyterlab"
-version = "3.0.8"
+version = "3.0.14"
 description = "The JupyterLab server extension."
 category = "main"
 optional = true
@@ -611,8 +739,9 @@ python-versions = ">=3.6"
 ipython = "*"
 jinja2 = ">=2.10"
 jupyter-core = "*"
-jupyter-server = ">=1.2,<2.0"
-jupyterlab-server = ">=2.0,<3.0"
+jupyter-packaging = ">=0.7,<1.0"
+jupyter-server = ">=1.4,<2.0"
+jupyterlab-server = ">=2.3,<3.0"
 nbclassic = ">=0.2,<1.0"
 packaging = "*"
 tornado = ">=6.1.0"
@@ -634,8 +763,8 @@ pygments = ">=2.4.1,<3"
 
 [[package]]
 name = "jupyterlab-server"
-version = "2.2.1"
-description = "JupyterLab Server"
+version = "2.5.0"
+description = "A set of server components for JupyterLab and JupyterLab like applications ."
 category = "main"
 optional = true
 python-versions = ">=3.6"
@@ -645,12 +774,13 @@ babel = "*"
 jinja2 = ">=2.10"
 json5 = "*"
 jsonschema = ">=3.0.1"
-jupyter-server = ">=1.1,<2.0"
+jupyter-packaging = ">=0.9,<1.0"
+jupyter-server = ">=1.4,<2.0"
 packaging = "*"
 requests = "*"
 
 [package.extras]
-test = ["codecov", "ipykernel", "pytest (>=5.3.2)", "pytest-cov", "jupyter-server", "pytest-console-scripts", "strict-rfc3339", "wheel"]
+test = ["codecov", "ipykernel", "pytest (>=5.3.2)", "pytest-cov", "jupyter-server", "openapi-core", "pytest-console-scripts", "strict-rfc3339", "ruamel.yaml", "wheel"]
 
 [[package]]
 name = "jupyterlab-widgets"
@@ -660,6 +790,23 @@ category = "main"
 optional = false
 python-versions = ">=3.6"
 
+[[package]]
+name = "keras-preprocessing"
+version = "1.1.2"
+description = "Easy data preprocessing and data augmentation for deep learning models"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+numpy = ">=1.9.1"
+six = ">=1.9.0"
+
+[package.extras]
+image = ["scipy (>=0.14)", "Pillow (>=5.2.0)"]
+pep8 = ["flake8"]
+tests = ["pandas", "pillow", "tensorflow", "keras", "pytest", "pytest-xdist", "pytest-cov"]
+
 [[package]]
 name = "kiwisolver"
 version = "1.3.1"
@@ -670,11 +817,38 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "lazy-object-proxy"
-version = "1.4.3"
+version = "1.6.0"
 description = "A fast and thorough lazy object proxy."
 category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+
+[[package]]
+name = "libcst"
+version = "0.3.18"
+description = "A concrete syntax tree with AST-like properties for Python 3.5, 3.6, 3.7 and 3.8 programs."
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+pyyaml = ">=5.2"
+typing-extensions = ">=3.7.4.2"
+typing-inspect = ">=0.4.0"
+
+[package.extras]
+dev = ["black (==20.8b1)", "codecov (>=2.1.4)", "coverage (>=4.5.4)", "fixit (==0.1.1)", "flake8 (>=3.7.8)", "hypothesis (>=4.36.0)", "hypothesmith (>=0.0.4)", "isort (==5.5.3)", "jupyter (>=1.0.0)", "nbsphinx (>=0.4.2)", "pyre-check (==0.0.41)", "sphinx-rtd-theme (>=0.4.3)", "prompt-toolkit (>=2.0.9)", "tox (>=3.18.1)"]
+
+[[package]]
+name = "markdown"
+version = "3.3.4"
+description = "Python implementation of Markdown."
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.extras]
+testing = ["coverage", "pyyaml"]
 
 [[package]]
 name = "markupsafe"
@@ -686,19 +860,30 @@ python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*"
 
 [[package]]
 name = "matplotlib"
-version = "3.3.4"
+version = "3.4.1"
 description = "Python plotting package"
 category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 
 [package.dependencies]
 cycler = ">=0.10"
 kiwisolver = ">=1.0.1"
-numpy = ">=1.15"
+numpy = ">=1.16"
 pillow = ">=6.2.0"
-pyparsing = ">=2.0.3,<2.0.4 || >2.0.4,<2.1.2 || >2.1.2,<2.1.6 || >2.1.6"
-python-dateutil = ">=2.1"
+pyparsing = ">=2.2.1"
+python-dateutil = ">=2.7"
+
+[[package]]
+name = "matplotlib-inline"
+version = "0.1.2"
+description = "Inline Matplotlib backend for Jupyter"
+category = "main"
+optional = false
+python-versions = ">=3.5"
+
+[package.dependencies]
+traitlets = "*"
 
 [[package]]
 name = "mccabe"
@@ -716,16 +901,24 @@ category = "main"
 optional = false
 python-versions = "*"
 
+[[package]]
+name = "mypy-extensions"
+version = "0.4.3"
+description = "Experimental type system extensions for programs checked with the mypy typechecker."
+category = "main"
+optional = false
+python-versions = "*"
+
 [[package]]
 name = "nbclassic"
-version = "0.2.6"
+version = "0.2.7"
 description = "Jupyter Notebook as a Jupyter Server Extension."
 category = "main"
 optional = true
 python-versions = ">=3.6"
 
 [package.dependencies]
-jupyter-server = ">=1.1,<2.0"
+jupyter-server = ">=1.5,<2.0"
 notebook = "<7"
 
 [package.extras]
@@ -733,7 +926,7 @@ test = ["pytest", "pytest-tornasync", "pytest-console-scripts"]
 
 [[package]]
 name = "nbclient"
-version = "0.5.2"
+version = "0.5.3"
 description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
 category = "main"
 optional = false
@@ -783,7 +976,7 @@ webpdf = ["pyppeteer (==0.2.2)"]
 
 [[package]]
 name = "nbformat"
-version = "5.1.2"
+version = "5.1.3"
 description = "The Jupyter Notebook format"
 category = "main"
 optional = false
@@ -809,11 +1002,11 @@ python-versions = ">=3.5"
 
 [[package]]
 name = "notebook"
-version = "6.2.0"
+version = "6.3.0"
 description = "A web-based notebook environment for interactive computing"
 category = "main"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.6"
 
 [package.dependencies]
 argon2-cffi = "*"
@@ -838,11 +1031,24 @@ test = ["pytest", "coverage", "requests", "nbval", "selenium", "pytest-cov", "re
 
 [[package]]
 name = "numpy"
-version = "1.20.1"
+version = "1.19.5"
 description = "NumPy is the fundamental package for array computing with Python."
 category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.6"
+
+[[package]]
+name = "oauthlib"
+version = "3.1.0"
+description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[package.extras]
+rsa = ["cryptography"]
+signals = ["blinker"]
+signedtoken = ["cryptography", "pyjwt (>=1.0.0)"]
 
 [[package]]
 name = "opencv-python"
@@ -853,7 +1059,22 @@ optional = false
 python-versions = ">=3.6"
 
 [package.dependencies]
-numpy = ">=1.17.3"
+numpy = ">=1.19.3"
+
+[[package]]
+name = "opt-einsum"
+version = "3.3.0"
+description = "Optimizing numpys einsum function"
+category = "main"
+optional = false
+python-versions = ">=3.5"
+
+[package.dependencies]
+numpy = ">=1.7"
+
+[package.extras]
+docs = ["sphinx (==1.2.3)", "sphinxcontrib-napoleon", "sphinx-rtd-theme", "numpydoc"]
+tests = ["pytest", "pytest-cov", "pytest-pep8"]
 
 [[package]]
 name = "packaging"
@@ -868,7 +1089,7 @@ pyparsing = ">=2.0.2"
 
 [[package]]
 name = "pandas"
-version = "1.2.2"
+version = "1.2.4"
 description = "Powerful data structures for data analysis, time series, and statistics"
 category = "main"
 optional = false
@@ -892,7 +1113,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "parso"
-version = "0.8.1"
+version = "0.8.2"
 description = "A Python Parser"
 category = "main"
 optional = false
@@ -923,7 +1144,7 @@ python-versions = "*"
 
 [[package]]
 name = "pillow"
-version = "8.1.0"
+version = "8.2.0"
 description = "Python Imaging Library (Fork)"
 category = "main"
 optional = false
@@ -931,18 +1152,18 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "prometheus-client"
-version = "0.9.0"
+version = "0.10.1"
 description = "Python client for the Prometheus monitoring system."
 category = "main"
 optional = false
-python-versions = "*"
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [package.extras]
 twisted = ["twisted"]
 
 [[package]]
 name = "prompt-toolkit"
-version = "3.0.16"
+version = "3.0.18"
 description = "Library for building powerful interactive command lines in Python"
 category = "main"
 optional = false
@@ -953,7 +1174,7 @@ wcwidth = "*"
 
 [[package]]
 name = "proto-plus"
-version = "1.13.0"
+version = "1.18.1"
 description = "Beautiful, Pythonic protocol buffers."
 category = "main"
 optional = false
@@ -967,7 +1188,7 @@ testing = ["google-api-core[grpc] (>=1.22.2)"]
 
 [[package]]
 name = "protobuf"
-version = "3.15.0"
+version = "3.15.8"
 description = "Protocol Buffers"
 category = "main"
 optional = false
@@ -1032,7 +1253,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "pygments"
-version = "2.8.0"
+version = "2.9.0"
 description = "Pygments is a syntax highlighting package written in Python."
 category = "main"
 optional = false
@@ -1040,14 +1261,14 @@ python-versions = ">=3.5"
 
 [[package]]
 name = "pylint"
-version = "2.6.2"
+version = "2.8.2"
 description = "python code static checker"
 category = "dev"
 optional = false
-python-versions = ">=3.5.*"
+python-versions = "~=3.6"
 
 [package.dependencies]
-astroid = ">=2.4.0,<2.5"
+astroid = ">=2.5.6,<2.7"
 colorama = {version = "*", markers = "sys_platform == \"win32\""}
 isort = ">=4.2.5,<6"
 mccabe = ">=0.6,<0.7"
@@ -1109,12 +1330,20 @@ python-versions = "*"
 
 [[package]]
 name = "pywinpty"
-version = "0.5.7"
-description = "Python bindings for the winpty library"
+version = "1.0.1"
+description = "Pseudo terminal support for Windows from Python."
 category = "main"
 optional = false
 python-versions = "*"
 
+[[package]]
+name = "pyyaml"
+version = "5.4.1"
+description = "YAML parser and emitter for Python"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+
 [[package]]
 name = "pyzmq"
 version = "22.0.3"
@@ -1145,9 +1374,24 @@ urllib3 = ">=1.21.1,<1.27"
 security = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)"]
 socks = ["PySocks (>=1.5.6,!=1.5.7)", "win-inet-pton"]
 
+[[package]]
+name = "requests-oauthlib"
+version = "1.3.0"
+description = "OAuthlib authentication support for Requests."
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[package.dependencies]
+oauthlib = ">=3.0.0"
+requests = ">=2.0.0"
+
+[package.extras]
+rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
+
 [[package]]
 name = "rsa"
-version = "4.7.1"
+version = "4.7.2"
 description = "Pure-Python RSA implementation"
 category = "main"
 optional = false
@@ -1158,7 +1402,7 @@ pyasn1 = ">=0.1.3"
 
 [[package]]
 name = "scikit-learn"
-version = "0.24.1"
+version = "0.24.2"
 description = "A set of python modules for machine learning and data mining"
 category = "main"
 optional = false
@@ -1178,14 +1422,28 @@ tests = ["matplotlib (>=2.1.1)", "scikit-image (>=0.13)", "pandas (>=0.25.0)", "
 
 [[package]]
 name = "scipy"
-version = "1.6.1"
+version = "1.6.3"
 description = "SciPy: Scientific Library for Python"
 category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.7,<3.10"
 
 [package.dependencies]
-numpy = ">=1.16.5"
+numpy = ">=1.16.5,<1.23.0"
+
+[[package]]
+name = "seaborn"
+version = "0.11.1"
+description = "seaborn: statistical data visualization"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+matplotlib = ">=2.2"
+numpy = ">=1.15"
+pandas = ">=0.23"
+scipy = ">=1.0"
 
 [[package]]
 name = "send2trash"
@@ -1213,7 +1471,7 @@ python-versions = ">=3.5"
 
 [[package]]
 name = "soupsieve"
-version = "2.2"
+version = "2.2.1"
 description = "A modern CSS selector implementation for Beautiful Soup."
 category = "main"
 optional = false
@@ -1221,11 +1479,11 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "spotframework"
-version = "1.0.2"
+version = "1.0.1"
 description = "Spotify HTTP wrapper library"
 category = "main"
 optional = false
-python-versions = "^3.6"
+python-versions = "^3.8"
 develop = false
 
 [package.dependencies]
@@ -1239,7 +1497,7 @@ url = "../spotframework"
 
 [[package]]
 name = "tabulate"
-version = "0.8.8"
+version = "0.8.9"
 description = "Pretty-print tabular data"
 category = "main"
 optional = false
@@ -1248,9 +1506,89 @@ python-versions = "*"
 [package.extras]
 widechars = ["wcwidth"]
 
+[[package]]
+name = "tensorboard"
+version = "2.5.0"
+description = "TensorBoard lets you watch Tensors Flow"
+category = "main"
+optional = false
+python-versions = ">= 2.7, != 3.0.*, != 3.1.*"
+
+[package.dependencies]
+absl-py = ">=0.4"
+google-auth = ">=1.6.3,<2"
+google-auth-oauthlib = ">=0.4.1,<0.5"
+grpcio = ">=1.24.3"
+markdown = ">=2.6.8"
+numpy = ">=1.12.0"
+protobuf = ">=3.6.0"
+requests = ">=2.21.0,<3"
+tensorboard-data-server = ">=0.6.0,<0.7.0"
+tensorboard-plugin-wit = ">=1.6.0"
+werkzeug = ">=0.11.15"
+
+[[package]]
+name = "tensorboard-data-server"
+version = "0.6.0"
+description = "Fast data loading for TensorBoard"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "tensorboard-plugin-wit"
+version = "1.8.0"
+description = "What-If Tool TensorBoard plugin."
+category = "main"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "tensorflow"
+version = "2.4.1"
+description = "TensorFlow is an open source machine learning framework for everyone."
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+absl-py = ">=0.10,<1.0"
+astunparse = ">=1.6.3,<1.7.0"
+flatbuffers = ">=1.12.0,<1.13.0"
+gast = "0.3.3"
+google-pasta = ">=0.2,<1.0"
+grpcio = ">=1.32.0,<1.33.0"
+h5py = ">=2.10.0,<2.11.0"
+keras-preprocessing = ">=1.1.2,<1.2.0"
+numpy = ">=1.19.2,<1.20.0"
+opt-einsum = ">=3.3.0,<3.4.0"
+protobuf = ">=3.9.2"
+six = ">=1.15.0,<1.16.0"
+tensorboard = ">=2.4,<3.0"
+tensorflow-estimator = ">=2.4.0,<2.5.0"
+termcolor = ">=1.1.0,<1.2.0"
+typing-extensions = ">=3.7.4,<3.8.0"
+wrapt = ">=1.12.1,<1.13.0"
+
+[[package]]
+name = "tensorflow-estimator"
+version = "2.4.0"
+description = "TensorFlow Estimator."
+category = "main"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "termcolor"
+version = "1.1.0"
+description = "ANSII Color formatting for output in terminal."
+category = "main"
+optional = false
+python-versions = "*"
+
 [[package]]
 name = "terminado"
-version = "0.9.2"
+version = "0.9.4"
 description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library."
 category = "main"
 optional = false
@@ -1261,6 +1599,9 @@ ptyprocess = {version = "*", markers = "os_name != \"nt\""}
 pywinpty = {version = ">=0.5", markers = "os_name == \"nt\""}
 tornado = ">=4"
 
+[package.extras]
+test = ["pytest"]
+
 [[package]]
 name = "testpath"
 version = "0.4.4"
@@ -1288,6 +1629,14 @@ category = "dev"
 optional = false
 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
 
+[[package]]
+name = "tomlkit"
+version = "0.7.0"
+description = "Style preserving TOML library"
+category = "main"
+optional = true
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+
 [[package]]
 name = "tornado"
 version = "6.1"
@@ -1310,18 +1659,38 @@ ipython-genutils = "*"
 [package.extras]
 test = ["pytest"]
 
+[[package]]
+name = "typing-extensions"
+version = "3.7.4.3"
+description = "Backported and Experimental Type Hints for Python 3.5+"
+category = "main"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "typing-inspect"
+version = "0.6.0"
+description = "Runtime inspection utilities for typing module."
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+mypy-extensions = ">=0.3.0"
+typing-extensions = ">=3.7.4"
+
 [[package]]
 name = "urllib3"
-version = "1.26.3"
+version = "1.26.4"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <4"
 
 [package.extras]
-brotli = ["brotlipy (>=0.6.0)"]
 secure = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "certifi", "ipaddress"]
 socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
+brotli = ["brotlipy (>=0.6.0)"]
 
 [[package]]
 name = "wcwidth"
@@ -1339,6 +1708,18 @@ category = "main"
 optional = false
 python-versions = "*"
 
+[[package]]
+name = "werkzeug"
+version = "1.0.1"
+description = "The comprehensive WSGI web application library."
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+
+[package.extras]
+dev = ["pytest", "pytest-timeout", "coverage", "tox", "sphinx", "pallets-sphinx-themes", "sphinx-issues"]
+watchdog = ["watchdog"]
+
 [[package]]
 name = "widgetsnbextension"
 version = "3.5.1"
@@ -1354,7 +1735,7 @@ notebook = ">=4.4.1"
 name = "wrapt"
 version = "1.12.1"
 description = "Module for decorators, wrappers and monkey patching."
-category = "dev"
+category = "main"
 optional = false
 python-versions = "*"
 
@@ -1363,13 +1744,17 @@ jupyter = ["jupyterlab"]
 
 [metadata]
 lock-version = "1.1"
-python-versions = ">=3.8,<3.10"
-content-hash = "b395ea51e456a5ed0a75cc85aab614a431652d04e3b24ed701d8a76033d27c51"
+python-versions = "~3.8"
+content-hash = "ea5b0cc58276c015cf268d4f89f4851e08b547a64cda09d1f039145ba9bed363"
 
 [metadata.files]
+absl-py = [
+    {file = "absl-py-0.12.0.tar.gz", hash = "sha256:b44f68984a5ceb2607d135a615999b93924c771238a63920d17d3387b0d229d5"},
+    {file = "absl_py-0.12.0-py3-none-any.whl", hash = "sha256:afe94e3c751ff81aad55d33ab6e630390da32780110b5af72ae81ecff8418d9e"},
+]
 anyio = [
-    {file = "anyio-2.1.0-py3-none-any.whl", hash = "sha256:c286818ccd5dcbd5d385b223f16a055393474527b1d5650da489828a9887d559"},
-    {file = "anyio-2.1.0.tar.gz", hash = "sha256:8a56e08623dc55955a06719d4ad62de6009bb3f1dd04936e60b2104dd58da484"},
+    {file = "anyio-2.2.0-py3-none-any.whl", hash = "sha256:aa3da546ed17f097ca876c78024dea380a3b7fa80759abfdda59f12176a3dac8"},
+    {file = "anyio-2.2.0.tar.gz", hash = "sha256:4a41c5b3a65ed92e469d51b6fba3779301850ea2e352afcf9e36c46f21ee14a9"},
 ]
 appnope = [
     {file = "appnope-0.1.2-py2.py3-none-any.whl", hash = "sha256:93aa393e9d6c54c5cd570ccadd8edad61ea0c4b9ea7a01409020c9aa019eb442"},
@@ -1396,8 +1781,12 @@ argon2-cffi = [
     {file = "argon2_cffi-20.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:8a84934bd818e14a17943de8099d41160da4a336bcc699bb4c394bbb9b94bd32"},
 ]
 astroid = [
-    {file = "astroid-2.4.2-py3-none-any.whl", hash = "sha256:bc58d83eb610252fd8de6363e39d4f1d0619c894b0ed24603b881c02e64c7386"},
-    {file = "astroid-2.4.2.tar.gz", hash = "sha256:2f4078c2a41bf377eea06d71c9d2ba4eb8f6b1af2135bec27bbbb7d8f12bb703"},
+    {file = "astroid-2.5.6-py3-none-any.whl", hash = "sha256:4db03ab5fc3340cf619dbc25e42c2cc3755154ce6009469766d7143d1fc2ee4e"},
+    {file = "astroid-2.5.6.tar.gz", hash = "sha256:8a398dfce302c13f14bab13e2b14fe385d32b73f4e4853b9bdfb64598baa1975"},
+]
+astunparse = [
+    {file = "astunparse-1.6.3-py2.py3-none-any.whl", hash = "sha256:c2652417f2c8b5bb325c885ae329bdf3f86424075c4fd1a128674bc6fba4b8e8"},
+    {file = "astunparse-1.6.3.tar.gz", hash = "sha256:5ad93a8456f0d084c3456d059fd9a92cce667963232cbf763eac3bc5b7940872"},
 ]
 async-generator = [
     {file = "async_generator-1.10-py3-none-any.whl", hash = "sha256:01c7bf666359b4967d2cda0000cc2e4af16a0ae098cbffcb8472fb9e8ad6585b"},
@@ -1408,8 +1797,8 @@ attrs = [
     {file = "attrs-20.3.0.tar.gz", hash = "sha256:832aa3cde19744e49938b91fea06d69ecb9e649c93ba974535d08ad92164f700"},
 ]
 babel = [
-    {file = "Babel-2.9.0-py2.py3-none-any.whl", hash = "sha256:9d35c22fcc79893c3ecc85ac4a56cde1ecf3f19c540bba0922308a6c06ca6fa5"},
-    {file = "Babel-2.9.0.tar.gz", hash = "sha256:da031ab54472314f210b0adcff1588ee5d1d1d0ba4dbd07b94dba82bde791e05"},
+    {file = "Babel-2.9.1-py2.py3-none-any.whl", hash = "sha256:ab49e12b91d937cd11f0b67cb259a57ab4ad2b59ac7a3b41d6c06c0ac5b0def9"},
+    {file = "Babel-2.9.1.tar.gz", hash = "sha256:bc0c176f9f6a994582230df350aa6e05ba2ebe4b3ac317eab29d9be5d2768da0"},
 ]
 backcall = [
     {file = "backcall-0.2.0-py2.py3-none-any.whl", hash = "sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255"},
@@ -1425,8 +1814,8 @@ bleach = [
     {file = "bleach-3.3.0.tar.gz", hash = "sha256:98b3170739e5e83dd9dc19633f074727ad848cbedb6026708c8ac2d3b697a433"},
 ]
 cachetools = [
-    {file = "cachetools-4.2.1-py3-none-any.whl", hash = "sha256:1d9d5f567be80f7c07d765e21b814326d78c61eb0c3a637dffc0e5d1796cb2e2"},
-    {file = "cachetools-4.2.1.tar.gz", hash = "sha256:f469e29e7aa4cff64d8de4aad95ce76de8ea1125a16c68e0d93f65c3c3dc92e9"},
+    {file = "cachetools-4.2.2-py3-none-any.whl", hash = "sha256:2cc0b89715337ab6dbba85b5b50effe2b0c74e035d83ee8ed637cf52f12ae001"},
+    {file = "cachetools-4.2.2.tar.gz", hash = "sha256:61b5ed1e22a0924aed1d23b478f37e8d52549ff8a961de2909c69bf950020cff"},
 ]
 certifi = [
     {file = "certifi-2020.12.5-py2.py3-none-any.whl", hash = "sha256:719a74fb9e33b9bd44cc7f3a8d94bc35e4049deebe19ba7d8e108280cfd59830"},
@@ -1488,29 +1877,49 @@ cycler = [
     {file = "cycler-0.10.0.tar.gz", hash = "sha256:cd7b2d1018258d7247a71425e9f26463dfb444d411c39569972f4ce586b0c9d8"},
 ]
 decorator = [
-    {file = "decorator-4.4.2-py2.py3-none-any.whl", hash = "sha256:41fa54c2a0cc4ba648be4fd43cff00aedf5b9465c9bf18d64325bc225f08f760"},
-    {file = "decorator-4.4.2.tar.gz", hash = "sha256:e3a62f0520172440ca0dcc823749319382e377f37f140a0b99ef45fecb84bfe7"},
+    {file = "decorator-5.0.7-py3-none-any.whl", hash = "sha256:945d84890bb20cc4a2f4a31fc4311c0c473af65ea318617f13a7257c9a58bc98"},
+    {file = "decorator-5.0.7.tar.gz", hash = "sha256:6f201a6c4dac3d187352661f508b9364ec8091217442c9478f1f83c003a0f060"},
 ]
 defusedxml = [
-    {file = "defusedxml-0.6.0-py2.py3-none-any.whl", hash = "sha256:6687150770438374ab581bb7a1b327a847dd9c5749e396102de3fad4e8a3ef93"},
-    {file = "defusedxml-0.6.0.tar.gz", hash = "sha256:f684034d135af4c6cbb949b8a4d2ed61634515257a67299e5f940fbaa34377f5"},
+    {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"},
+    {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"},
+]
+deprecation = [
+    {file = "deprecation-2.1.0-py2.py3-none-any.whl", hash = "sha256:a10811591210e1fb0e768a8c25517cabeabcba6f0bf96564f8ff45189f90b14a"},
+    {file = "deprecation-2.1.0.tar.gz", hash = "sha256:72b3bde64e5d778694b0cf68178aed03d15e15477116add3fb773e581f9518ff"},
 ]
 entrypoints = [
     {file = "entrypoints-0.3-py2.py3-none-any.whl", hash = "sha256:589f874b313739ad35be6e0cd7efde2a4e9b6fea91edcc34e58ecbb8dbe56d19"},
     {file = "entrypoints-0.3.tar.gz", hash = "sha256:c70dd71abe5a8c85e55e12c19bd91ccfeec11a6e99044204511f9ed547d48451"},
 ]
+flatbuffers = [
+    {file = "flatbuffers-1.12-py2.py3-none-any.whl", hash = "sha256:9e9ef47fa92625c4721036e7c4124182668dc6021d9e7c73704edd395648deb9"},
+    {file = "flatbuffers-1.12.tar.gz", hash = "sha256:63bb9a722d5e373701913e226135b28a6f6ac200d5cc7b4d919fa38d73b44610"},
+]
 fmframework = []
+gast = [
+    {file = "gast-0.3.3-py2.py3-none-any.whl", hash = "sha256:8f46f5be57ae6889a4e16e2ca113b1703ef17f2b0abceb83793eaba9e1351a45"},
+    {file = "gast-0.3.3.tar.gz", hash = "sha256:b881ef288a49aa81440d2c5eb8aeefd4c2bb8993d5f50edae7413a85bfdb3b57"},
+]
 google-api-core = [
-    {file = "google-api-core-1.26.0.tar.gz", hash = "sha256:4230ec764d48ca934fe69b85cc217e31e844e176f68df93e252acd55350e730b"},
-    {file = "google_api_core-1.26.0-py2.py3-none-any.whl", hash = "sha256:002e44c533299aecd9dd265d200f9eacd9957cddd2c72e2cd1cb5cea127e972d"},
+    {file = "google-api-core-1.26.3.tar.gz", hash = "sha256:b914345c7ea23861162693a27703bab804a55504f7e6e9abcaff174d80df32ac"},
+    {file = "google_api_core-1.26.3-py2.py3-none-any.whl", hash = "sha256:099762d4b4018cd536bcf85136bf337957da438807572db52f21dc61251be089"},
 ]
 google-auth = [
-    {file = "google-auth-1.27.0.tar.gz", hash = "sha256:da5218cbf33b8461d7661d6b4ad91c12c0107e2767904d5e3ae6408031d5463e"},
-    {file = "google_auth-1.27.0-py2.py3-none-any.whl", hash = "sha256:d3640ea61ee025d5af00e3ffd82ba0a06dd99724adaf50bdd52f49daf29f3f65"},
+    {file = "google-auth-1.30.0.tar.gz", hash = "sha256:9ad25fba07f46a628ad4d0ca09f38dcb262830df2ac95b217f9b0129c9e42206"},
+    {file = "google_auth-1.30.0-py2.py3-none-any.whl", hash = "sha256:588bdb03a41ecb4978472b847881e5518b5d9ec6153d3d679aa127a55e13b39f"},
+]
+google-auth-oauthlib = [
+    {file = "google-auth-oauthlib-0.4.4.tar.gz", hash = "sha256:09832c6e75032f93818edf1affe4746121d640c625a5bef9b5c96af676e98eee"},
+    {file = "google_auth_oauthlib-0.4.4-py2.py3-none-any.whl", hash = "sha256:0e92aacacfb94978de3b7972cf4b0f204c3cd206f74ddd0dc0b31e91164e6317"},
 ]
 google-cloud-bigquery = [
-    {file = "google-cloud-bigquery-2.9.0.tar.gz", hash = "sha256:33fcbdf5567bdb7657fb3485f061e7f1b45361f65fdafc168ab9172117fd9a5a"},
-    {file = "google_cloud_bigquery-2.9.0-py2.py3-none-any.whl", hash = "sha256:967a0b1b5ebc1412879a9309704a0e2d512cee88295dba0de94ac0a471474d12"},
+    {file = "google-cloud-bigquery-2.15.0.tar.gz", hash = "sha256:096c352c70045243cf809b509b21de0936c87e8191acff5b25b7f0f3ec748cd1"},
+    {file = "google_cloud_bigquery-2.15.0-py2.py3-none-any.whl", hash = "sha256:c73270c96fe55bdad320bf01cfc9e176df5f28947215181ba5304bacd771ce00"},
+]
+google-cloud-bigquery-storage = [
+    {file = "google-cloud-bigquery-storage-2.4.0.tar.gz", hash = "sha256:be7d2f88c617876c4b05b766cb32bd0730ee575745767db7c79df270d09ac80b"},
+    {file = "google_cloud_bigquery_storage-2.4.0-py2.py3-none-any.whl", hash = "sha256:784513bec243e4bcab0ca5a4218701b599b94f5ec1cfe345f64db487c5ff270e"},
 ]
 google-cloud-core = [
     {file = "google-cloud-core-1.6.0.tar.gz", hash = "sha256:c6abb18527545379fc82efc4de75ce9a3772ccad2fc645adace593ba097cbb02"},
@@ -1547,77 +1956,106 @@ google-crc32c = [
     {file = "google_crc32c-1.1.2-cp39-cp39-win32.whl", hash = "sha256:92ed6062792b989e84621e07a5f3d37da9cc3153b77d23a582921f14863af31d"},
     {file = "google_crc32c-1.1.2-cp39-cp39-win_amd64.whl", hash = "sha256:78cf5b1bd30f3a6033b41aa4ce8c796870bc4645a15d3ef47a4b05d31b0a6dc1"},
 ]
+google-pasta = [
+    {file = "google-pasta-0.2.0.tar.gz", hash = "sha256:c9f2c8dfc8f96d0d5808299920721be30c9eec37f2389f28904f454565c8a16e"},
+    {file = "google_pasta-0.2.0-py2-none-any.whl", hash = "sha256:4612951da876b1a10fe3960d7226f0c7682cf901e16ac06e473b267a5afa8954"},
+    {file = "google_pasta-0.2.0-py3-none-any.whl", hash = "sha256:b32482794a366b5366a32c92a9a9201b107821889935a02b3e51f6b432ea84ed"},
+]
 google-resumable-media = [
     {file = "google-resumable-media-1.2.0.tar.gz", hash = "sha256:ee98b1921e5bda94867a08c864e55b4763d63887664f49ee1c231988f56b9d43"},
     {file = "google_resumable_media-1.2.0-py2.py3-none-any.whl", hash = "sha256:dbe670cd7f02f3586705fd5a108c8ab8552fa36a1cad8afbc5a54e982cf34f0c"},
 ]
 googleapis-common-protos = [
-    {file = "googleapis-common-protos-1.52.0.tar.gz", hash = "sha256:560716c807117394da12cecb0a54da5a451b5cf9866f1d37e9a5e2329a665351"},
-    {file = "googleapis_common_protos-1.52.0-py2.py3-none-any.whl", hash = "sha256:c8961760f5aad9a711d37b675be103e0cc4e9a39327e0d6d857872f698403e24"},
+    {file = "googleapis-common-protos-1.53.0.tar.gz", hash = "sha256:a88ee8903aa0a81f6c3cec2d5cf62d3c8aa67c06439b0496b49048fb1854ebf4"},
+    {file = "googleapis_common_protos-1.53.0-py2.py3-none-any.whl", hash = "sha256:f6d561ab8fb16b30020b940e2dd01cd80082f4762fa9f3ee670f4419b4b8dbd0"},
 ]
 grpcio = [
-    {file = "grpcio-1.35.0-cp27-cp27m-macosx_10_10_x86_64.whl", hash = "sha256:95cc4d2067deced18dc807442cf8062a93389a86abf8d40741120054389d3f29"},
-    {file = "grpcio-1.35.0-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:d186a0ce291f4386e28a7042ec31c85250b0c2e25d2794b87fa3c15ff473c46c"},
-    {file = "grpcio-1.35.0-cp27-cp27m-manylinux2010_x86_64.whl", hash = "sha256:c8d0a6a58a42275c6cb616e7cb9f9fcf5eba1e809996546e561cd818b8f7cff7"},
-    {file = "grpcio-1.35.0-cp27-cp27m-win32.whl", hash = "sha256:8d08f90d72a8e8d9af087476337da76d26749617b0a092caff4e684ce267af21"},
-    {file = "grpcio-1.35.0-cp27-cp27m-win_amd64.whl", hash = "sha256:0072ec4563ab4268c4c32e936955085c2d41ea175b662363496daedd2273372c"},
-    {file = "grpcio-1.35.0-cp27-cp27mu-linux_armv7l.whl", hash = "sha256:aca45d2ccb693c9227fbf21144891422a42dc4b76b52af8dd1d4e43afebe321d"},
-    {file = "grpcio-1.35.0-cp27-cp27mu-manylinux2010_i686.whl", hash = "sha256:87147b1b306c88fe7dca7e3dff8aefd1e63d6aed86e224f9374ddf283f17d7f1"},
-    {file = "grpcio-1.35.0-cp27-cp27mu-manylinux2010_x86_64.whl", hash = "sha256:22edfc278070d54f3ab7f741904e09155a272fe934e842babbf84476868a50de"},
-    {file = "grpcio-1.35.0-cp35-cp35m-linux_armv7l.whl", hash = "sha256:f3654a52f72ba28953dbe2e93208099f4903f4b3c07dc7ff4db671c92968111d"},
-    {file = "grpcio-1.35.0-cp35-cp35m-macosx_10_10_intel.whl", hash = "sha256:dc2589370ef84eb1cc53530070d658a7011d2ee65f18806581809c11cd016136"},
-    {file = "grpcio-1.35.0-cp35-cp35m-manylinux2010_i686.whl", hash = "sha256:f0c27fd16582a303e5baf6cffd9345c9ac5f855d69a51232664a0b888a77ba80"},
-    {file = "grpcio-1.35.0-cp35-cp35m-manylinux2010_x86_64.whl", hash = "sha256:b2985f73611b637271b00d9c4f177e65cc3193269bc9760f16262b1a12757265"},
-    {file = "grpcio-1.35.0-cp35-cp35m-manylinux2014_i686.whl", hash = "sha256:acb489b7aafdcf960f1a0000a1f22b45e5b6ccdf8dba48f97617d627f4133195"},
-    {file = "grpcio-1.35.0-cp35-cp35m-manylinux2014_x86_64.whl", hash = "sha256:16fd33030944672e49e0530dec2c60cd4089659ccdf327e99569b3b29246a0b6"},
-    {file = "grpcio-1.35.0-cp35-cp35m-win32.whl", hash = "sha256:1757e81c09132851e85495b802fe4d4fbef3547e77fa422a62fb4f7d51785be0"},
-    {file = "grpcio-1.35.0-cp35-cp35m-win_amd64.whl", hash = "sha256:35b72884e09cbc46c564091f4545a39fa66d132c5676d1a6e827517fff47f2c1"},
-    {file = "grpcio-1.35.0-cp36-cp36m-linux_armv7l.whl", hash = "sha256:17940a7dc461066f28816df48be44f24d3b9f150db344308ee2aeae033e1af0b"},
-    {file = "grpcio-1.35.0-cp36-cp36m-macosx_10_10_x86_64.whl", hash = "sha256:75ea903edc42a8c6ec61dbc5f453febd79d8bdec0e1bad6df7088c34282e8c42"},
-    {file = "grpcio-1.35.0-cp36-cp36m-manylinux2010_i686.whl", hash = "sha256:b180a3ec4a5d6f96d3840c83e5f8ab49afac9fa942921e361b451d7a024efb00"},
-    {file = "grpcio-1.35.0-cp36-cp36m-manylinux2010_x86_64.whl", hash = "sha256:e163c27d2062cd3eb07057f23f8d1330925beaba16802312b51b4bad33d74098"},
-    {file = "grpcio-1.35.0-cp36-cp36m-manylinux2014_i686.whl", hash = "sha256:764b50ba1a15a2074cdd1a841238f2dead0a06529c495a46821fae84cb9c7342"},
-    {file = "grpcio-1.35.0-cp36-cp36m-manylinux2014_x86_64.whl", hash = "sha256:088c8bea0f6b596937fefacf2c8df97712e7a3dd49496975049cc95dbf02af1a"},
-    {file = "grpcio-1.35.0-cp36-cp36m-win32.whl", hash = "sha256:1aa53f82362c7f2791fe0cdd9a3b3aec325c11d8f0dfde600f91907dfaa8546b"},
-    {file = "grpcio-1.35.0-cp36-cp36m-win_amd64.whl", hash = "sha256:efb3d67405eb8030db6f27920b4be023fabfb5d4e09c34deab094a7c473a5472"},
-    {file = "grpcio-1.35.0-cp37-cp37m-macosx_10_10_x86_64.whl", hash = "sha256:44aaa6148d18a8e836f99dadcdec17b27bc7ec0995b2cc12c94e61826040ec90"},
-    {file = "grpcio-1.35.0-cp37-cp37m-manylinux2010_i686.whl", hash = "sha256:18ad7644e23757420ea839ac476ef861e4f4841c8566269b7c91c100ca1943b3"},
-    {file = "grpcio-1.35.0-cp37-cp37m-manylinux2010_x86_64.whl", hash = "sha256:859a0ceb23d7189362cc06fe7e906e9ed5c7a8f3ac960cc04ce13fe5847d0b62"},
-    {file = "grpcio-1.35.0-cp37-cp37m-manylinux2014_i686.whl", hash = "sha256:3e7d4428ed752fdfe2dddf2a404c93d3a2f62bf4b9109c0c10a850c698948891"},
-    {file = "grpcio-1.35.0-cp37-cp37m-manylinux2014_x86_64.whl", hash = "sha256:a36151c335280b09afd5123f3b25085027ae2b10682087a4342fb6f635b928fb"},
-    {file = "grpcio-1.35.0-cp37-cp37m-win32.whl", hash = "sha256:dfecb2acd3acb8bb50e9aa31472c6e57171d97c1098ee67cd283a6fe7d56a926"},
-    {file = "grpcio-1.35.0-cp37-cp37m-win_amd64.whl", hash = "sha256:e87e55fba98ebd7b4c614dcef9940dc2a7e057ad8bba5f91554934d47319a35b"},
-    {file = "grpcio-1.35.0-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:da44bf613eed5d9e8df0785463e502a416de1be6e4ac31edbe99c9111abaed5f"},
-    {file = "grpcio-1.35.0-cp38-cp38-manylinux2010_i686.whl", hash = "sha256:9e503eaf853199804a954dc628c5207e67d6c7848dcba42a997fbe718618a2b1"},
-    {file = "grpcio-1.35.0-cp38-cp38-manylinux2010_x86_64.whl", hash = "sha256:6ba3d7acf70acde9ce27e22921db921b84a71be578b32739536c32377b65041a"},
-    {file = "grpcio-1.35.0-cp38-cp38-manylinux2014_i686.whl", hash = "sha256:048c01d1eb5c2ae7cba2254b98938d2fc81f6dc10d172d9261d65266adb0fdb3"},
-    {file = "grpcio-1.35.0-cp38-cp38-manylinux2014_x86_64.whl", hash = "sha256:efd896e8ca7adb2654cf014479a5e1f74e4f776b6b2c0fbf95a6c92787a6631a"},
-    {file = "grpcio-1.35.0-cp38-cp38-win32.whl", hash = "sha256:8a29a26b9f39701ce15aa1d5aa5e96e0b5f7028efe94f95341a4ed8dbe4bed78"},
-    {file = "grpcio-1.35.0-cp38-cp38-win_amd64.whl", hash = "sha256:aea3d592a7ece84739b92d212cd16037c51d84a259414f64b51c14e946611f3d"},
-    {file = "grpcio-1.35.0-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:2f8e8d35d4799aa1627a212dbe8546594abf4064056415c31bd1b3b8f2a62027"},
-    {file = "grpcio-1.35.0-cp39-cp39-manylinux2010_i686.whl", hash = "sha256:9f0da13b215068e7434b161a35d0b4e92140ffcfa33ddda9c458199ea1d7ce45"},
-    {file = "grpcio-1.35.0-cp39-cp39-manylinux2010_x86_64.whl", hash = "sha256:7ae408780b79c9b9b91a2592abd1d7abecd05675d988ea75038580f420966b59"},
-    {file = "grpcio-1.35.0-cp39-cp39-manylinux2014_i686.whl", hash = "sha256:0f714e261e1d63615476cda4ee808a79cca62f8f09e2943c136c2f87ec5347b1"},
-    {file = "grpcio-1.35.0-cp39-cp39-manylinux2014_x86_64.whl", hash = "sha256:7ee7d54da9d176d3c9a0f47c04d7ff6fdc6ee1c17643caff8c33d6c8a70678a4"},
-    {file = "grpcio-1.35.0-cp39-cp39-win32.whl", hash = "sha256:94c3b81089a86d3c5877d22b07ebc66b5ed1d84771e24b001844e29a5b6178dd"},
-    {file = "grpcio-1.35.0-cp39-cp39-win_amd64.whl", hash = "sha256:399ee377b312ac652b07ef4365bbbba009da361fa7708c4d3d4ce383a1534ea7"},
-    {file = "grpcio-1.35.0.tar.gz", hash = "sha256:7bd0ebbb14dde78bf66a1162efd29d3393e4e943952e2f339757aa48a184645c"},
+    {file = "grpcio-1.32.0-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:3afb058b6929eba07dba9ae6c5b555aa1d88cb140187d78cc510bd72d0329f28"},
+    {file = "grpcio-1.32.0-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:a8004b34f600a8a51785e46859cd88f3386ef67cccd1cfc7598e3d317608c643"},
+    {file = "grpcio-1.32.0-cp27-cp27m-manylinux2010_x86_64.whl", hash = "sha256:e6786f6f7be0937614577edcab886ddce91b7c1ea972a07ef9972e9f9ecbbb78"},
+    {file = "grpcio-1.32.0-cp27-cp27m-win32.whl", hash = "sha256:e467af6bb8f5843f5a441e124b43474715cfb3981264e7cd227343e826dcc3ce"},
+    {file = "grpcio-1.32.0-cp27-cp27m-win_amd64.whl", hash = "sha256:1376a60f9bfce781b39973f100b5f67e657b5be479f2fd8a7d2a408fc61c085c"},
+    {file = "grpcio-1.32.0-cp27-cp27mu-linux_armv7l.whl", hash = "sha256:ce617e1c4a39131f8527964ac9e700eb199484937d7a0b3e52655a3ba50d5fb9"},
+    {file = "grpcio-1.32.0-cp27-cp27mu-manylinux2010_i686.whl", hash = "sha256:99bac0e2c820bf446662365df65841f0c2a55b0e2c419db86eaf5d162ddae73e"},
+    {file = "grpcio-1.32.0-cp27-cp27mu-manylinux2010_x86_64.whl", hash = "sha256:6d869a3e8e62562b48214de95e9231c97c53caa7172802236cd5d60140d7cddd"},
+    {file = "grpcio-1.32.0-cp35-cp35m-linux_armv7l.whl", hash = "sha256:182c64ade34c341398bf71ec0975613970feb175090760ab4f51d1e9a5424f05"},
+    {file = "grpcio-1.32.0-cp35-cp35m-macosx_10_7_intel.whl", hash = "sha256:9c0d8f2346c842088b8cbe3e14985b36e5191a34bf79279ba321a4bf69bd88b7"},
+    {file = "grpcio-1.32.0-cp35-cp35m-manylinux2010_i686.whl", hash = "sha256:4775bc35af9cd3b5033700388deac2e1d611fa45f4a8dcb93667d94cb25f0444"},
+    {file = "grpcio-1.32.0-cp35-cp35m-manylinux2010_x86_64.whl", hash = "sha256:be98e3198ec765d0a1e27f69d760f69374ded8a33b953dcfe790127731f7e690"},
+    {file = "grpcio-1.32.0-cp35-cp35m-manylinux2014_i686.whl", hash = "sha256:378fe80ec5d9353548eb2a8a43ea03747a80f2e387c4f177f2b3ff6c7d898753"},
+    {file = "grpcio-1.32.0-cp35-cp35m-manylinux2014_x86_64.whl", hash = "sha256:f7d508691301027033215d3662dab7e178f54d5cca2329f26a71ae175d94b83f"},
+    {file = "grpcio-1.32.0-cp35-cp35m-win32.whl", hash = "sha256:25959a651420dd4a6fd7d3e8dee53f4f5fd8c56336a64963428e78b276389a59"},
+    {file = "grpcio-1.32.0-cp35-cp35m-win_amd64.whl", hash = "sha256:ac7028d363d2395f3d755166d0161556a3f99500a5b44890421ccfaaf2aaeb08"},
+    {file = "grpcio-1.32.0-cp36-cp36m-linux_armv7l.whl", hash = "sha256:c31e8a219650ddae1cd02f5a169e1bffe66a429a8255d3ab29e9363c73003b62"},
+    {file = "grpcio-1.32.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:e28e4c0d4231beda5dee94808e3a224d85cbaba3cfad05f2192e6f4ec5318053"},
+    {file = "grpcio-1.32.0-cp36-cp36m-manylinux2010_i686.whl", hash = "sha256:f03dfefa9075dd1c6c5cc27b1285c521434643b09338d8b29e1d6a27b386aa82"},
+    {file = "grpcio-1.32.0-cp36-cp36m-manylinux2010_x86_64.whl", hash = "sha256:c4966d746dccb639ef93f13560acbe9630681c07f2b320b7ec03fe2c8f0a1f15"},
+    {file = "grpcio-1.32.0-cp36-cp36m-manylinux2014_i686.whl", hash = "sha256:ec10d5f680b8e95a06f1367d73c5ddcc0ed04a3f38d6e4c9346988fb0cea2ffa"},
+    {file = "grpcio-1.32.0-cp36-cp36m-manylinux2014_x86_64.whl", hash = "sha256:28677f057e2ef11501860a7bc15de12091d40b95dd0fddab3c37ff1542e6b216"},
+    {file = "grpcio-1.32.0-cp36-cp36m-win32.whl", hash = "sha256:0f3f09269ffd3fded430cd89ba2397eabbf7e47be93983b25c187cdfebb302a7"},
+    {file = "grpcio-1.32.0-cp36-cp36m-win_amd64.whl", hash = "sha256:4396b1d0f388ae875eaf6dc05cdcb612c950fd9355bc34d38b90aaa0665a0d4b"},
+    {file = "grpcio-1.32.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:1ada89326a364a299527c7962e5c362dbae58c67b283fe8383c4d952b26565d5"},
+    {file = "grpcio-1.32.0-cp37-cp37m-manylinux2010_i686.whl", hash = "sha256:1d384a61f96a1fc6d5d3e0b62b0a859abc8d4c3f6d16daba51ebf253a3e7df5d"},
+    {file = "grpcio-1.32.0-cp37-cp37m-manylinux2010_x86_64.whl", hash = "sha256:e811ce5c387256609d56559d944a974cc6934a8eea8c76e7c86ec388dc06192d"},
+    {file = "grpcio-1.32.0-cp37-cp37m-manylinux2014_i686.whl", hash = "sha256:07b430fa68e5eecd78e2ad529ab80f6a234b55fc1b675fe47335ccbf64c6c6c8"},
+    {file = "grpcio-1.32.0-cp37-cp37m-manylinux2014_x86_64.whl", hash = "sha256:0e3edd8cdb71809d2455b9dbff66b4dd3d36c321e64bfa047da5afdfb0db332b"},
+    {file = "grpcio-1.32.0-cp37-cp37m-win32.whl", hash = "sha256:6f7947dad606c509d067e5b91a92b250aa0530162ab99e4737090f6b17eb12c4"},
+    {file = "grpcio-1.32.0-cp37-cp37m-win_amd64.whl", hash = "sha256:7cda998b7b551503beefc38db9be18c878cfb1596e1418647687575cdefa9273"},
+    {file = "grpcio-1.32.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:c58825a3d8634cd634d8f869afddd4d5742bdb59d594aea4cea17b8f39269a55"},
+    {file = "grpcio-1.32.0-cp38-cp38-manylinux2010_i686.whl", hash = "sha256:ef9bd7fdfc0a063b4ed0efcab7906df5cae9bbcf79d05c583daa2eba56752b00"},
+    {file = "grpcio-1.32.0-cp38-cp38-manylinux2010_x86_64.whl", hash = "sha256:1ce6f5ff4f4a548c502d5237a071fa617115df58ea4b7bd41dac77c1ab126e9c"},
+    {file = "grpcio-1.32.0-cp38-cp38-manylinux2014_i686.whl", hash = "sha256:f12900be4c3fd2145ba94ab0d80b7c3d71c9e6414cfee2f31b1c20188b5c281f"},
+    {file = "grpcio-1.32.0-cp38-cp38-manylinux2014_x86_64.whl", hash = "sha256:f53f2dfc8ff9a58a993e414a016c8b21af333955ae83960454ad91798d467c7b"},
+    {file = "grpcio-1.32.0-cp38-cp38-win32.whl", hash = "sha256:5bddf9d53c8df70061916c3bfd2f468ccf26c348bb0fb6211531d895ed5e4c72"},
+    {file = "grpcio-1.32.0-cp38-cp38-win_amd64.whl", hash = "sha256:14c0f017bfebbc18139551111ac58ecbde11f4bc375b73a53af38927d60308b6"},
+    {file = "grpcio-1.32.0.tar.gz", hash = "sha256:01d3046fe980be25796d368f8fc5ff34b7cf5e1444f3789a017a7fe794465639"},
+]
+h5py = [
+    {file = "h5py-2.10.0-cp27-cp27m-macosx_10_6_intel.whl", hash = "sha256:ecf4d0b56ee394a0984de15bceeb97cbe1fe485f1ac205121293fc44dcf3f31f"},
+    {file = "h5py-2.10.0-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:86868dc07b9cc8cb7627372a2e6636cdc7a53b7e2854ad020c9e9d8a4d3fd0f5"},
+    {file = "h5py-2.10.0-cp27-cp27m-manylinux1_x86_64.whl", hash = "sha256:aac4b57097ac29089f179bbc2a6e14102dd210618e94d77ee4831c65f82f17c0"},
+    {file = "h5py-2.10.0-cp27-cp27m-win32.whl", hash = "sha256:7be5754a159236e95bd196419485343e2b5875e806fe68919e087b6351f40a70"},
+    {file = "h5py-2.10.0-cp27-cp27m-win_amd64.whl", hash = "sha256:13c87efa24768a5e24e360a40e0bc4c49bcb7ce1bb13a3a7f9902cec302ccd36"},
+    {file = "h5py-2.10.0-cp27-cp27mu-manylinux1_i686.whl", hash = "sha256:79b23f47c6524d61f899254f5cd5e486e19868f1823298bc0c29d345c2447172"},
+    {file = "h5py-2.10.0-cp27-cp27mu-manylinux1_x86_64.whl", hash = "sha256:cbf28ae4b5af0f05aa6e7551cee304f1d317dbed1eb7ac1d827cee2f1ef97a99"},
+    {file = "h5py-2.10.0-cp34-cp34m-manylinux1_i686.whl", hash = "sha256:c0d4b04bbf96c47b6d360cd06939e72def512b20a18a8547fa4af810258355d5"},
+    {file = "h5py-2.10.0-cp34-cp34m-manylinux1_x86_64.whl", hash = "sha256:549ad124df27c056b2e255ea1c44d30fb7a17d17676d03096ad5cd85edb32dc1"},
+    {file = "h5py-2.10.0-cp35-cp35m-macosx_10_6_intel.whl", hash = "sha256:a5f82cd4938ff8761d9760af3274acf55afc3c91c649c50ab18fcff5510a14a5"},
+    {file = "h5py-2.10.0-cp35-cp35m-manylinux1_i686.whl", hash = "sha256:3dad1730b6470fad853ef56d755d06bb916ee68a3d8272b3bab0c1ddf83bb99e"},
+    {file = "h5py-2.10.0-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:063947eaed5f271679ed4ffa36bb96f57bc14f44dd4336a827d9a02702e6ce6b"},
+    {file = "h5py-2.10.0-cp35-cp35m-win32.whl", hash = "sha256:c54a2c0dd4957776ace7f95879d81582298c5daf89e77fb8bee7378f132951de"},
+    {file = "h5py-2.10.0-cp35-cp35m-win_amd64.whl", hash = "sha256:6998be619c695910cb0effe5eb15d3a511d3d1a5d217d4bd0bebad1151ec2262"},
+    {file = "h5py-2.10.0-cp36-cp36m-macosx_10_6_intel.whl", hash = "sha256:ff7d241f866b718e4584fa95f520cb19405220c501bd3a53ee11871ba5166ea2"},
+    {file = "h5py-2.10.0-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:54817b696e87eb9e403e42643305f142cd8b940fe9b3b490bbf98c3b8a894cf4"},
+    {file = "h5py-2.10.0-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:d3c59549f90a891691991c17f8e58c8544060fdf3ccdea267100fa5f561ff62f"},
+    {file = "h5py-2.10.0-cp36-cp36m-win32.whl", hash = "sha256:d7ae7a0576b06cb8e8a1c265a8bc4b73d05fdee6429bffc9a26a6eb531e79d72"},
+    {file = "h5py-2.10.0-cp36-cp36m-win_amd64.whl", hash = "sha256:bffbc48331b4a801d2f4b7dac8a72609f0b10e6e516e5c480a3e3241e091c878"},
+    {file = "h5py-2.10.0-cp37-cp37m-macosx_10_6_intel.whl", hash = "sha256:51ae56894c6c93159086ffa2c94b5b3388c0400548ab26555c143e7cfa05b8e5"},
+    {file = "h5py-2.10.0-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:16ead3c57141101e3296ebeed79c9c143c32bdd0e82a61a2fc67e8e6d493e9d1"},
+    {file = "h5py-2.10.0-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:f0e25bb91e7a02efccb50aba6591d3fe2c725479e34769802fcdd4076abfa917"},
+    {file = "h5py-2.10.0-cp37-cp37m-win32.whl", hash = "sha256:f23951a53d18398ef1344c186fb04b26163ca6ce449ebd23404b153fd111ded9"},
+    {file = "h5py-2.10.0-cp37-cp37m-win_amd64.whl", hash = "sha256:8bb1d2de101f39743f91512a9750fb6c351c032e5cd3204b4487383e34da7f75"},
+    {file = "h5py-2.10.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:64f74da4a1dd0d2042e7d04cf8294e04ddad686f8eba9bb79e517ae582f6668d"},
+    {file = "h5py-2.10.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:d35f7a3a6cefec82bfdad2785e78359a0e6a5fbb3f605dd5623ce88082ccd681"},
+    {file = "h5py-2.10.0-cp38-cp38-win32.whl", hash = "sha256:6ef7ab1089e3ef53ca099038f3c0a94d03e3560e6aff0e9d6c64c55fb13fc681"},
+    {file = "h5py-2.10.0-cp38-cp38-win_amd64.whl", hash = "sha256:769e141512b54dee14ec76ed354fcacfc7d97fea5a7646b709f7400cf1838630"},
+    {file = "h5py-2.10.0.tar.gz", hash = "sha256:84412798925dc870ffd7107f045d7659e60f5d46d1c70c700375248bf6bf512d"},
 ]
 idna = [
     {file = "idna-2.10-py2.py3-none-any.whl", hash = "sha256:b97d804b1e9b523befed77c48dacec60e6dcb0b5391d57af6a65a312a90648c0"},
     {file = "idna-2.10.tar.gz", hash = "sha256:b307872f855b18632ce0c21c5e45be78c0ea7ae4c15c828c20788b26921eb3f6"},
 ]
 ipykernel = [
-    {file = "ipykernel-5.4.3-py3-none-any.whl", hash = "sha256:4ed205700001a83b5832d4821c46a5733f1bf4b1c55744314ae3c756be6b6095"},
-    {file = "ipykernel-5.4.3.tar.gz", hash = "sha256:697103d218e9a8828025af7986e033c89e0b36e2b6eb84a5bda4739b9a27f3cb"},
+    {file = "ipykernel-5.5.4-py3-none-any.whl", hash = "sha256:f57739bf26d7396549562c0c888b96be896385ce099fb34ca89af359b7436b25"},
+    {file = "ipykernel-5.5.4.tar.gz", hash = "sha256:1ce0e83672cc3bfdc1ffb5603e1d77ab125f24b41abc4612e22bfb3e994c0db2"},
 ]
 ipympl = [
     {file = "ipympl-0.6.3-py2.py3-none-any.whl", hash = "sha256:5aa5ab26aaaf583f9fa12896b277460609926828075129c3165695243ba4fc91"},
     {file = "ipympl-0.6.3.tar.gz", hash = "sha256:bf2a33863ec9025d6d767f09b9f36dd8f7fe80d1f8f5ba08fca9f4e460ee64f8"},
 ]
 ipython = [
-    {file = "ipython-7.20.0-py3-none-any.whl", hash = "sha256:1918dea4bfdc5d1a830fcfce9a710d1d809cbed123e85eab0539259cb0f56640"},
-    {file = "ipython-7.20.0.tar.gz", hash = "sha256:1923af00820a8cf58e91d56b89efc59780a6e81363b94464a0f17c039dffff9e"},
+    {file = "ipython-7.23.1-py3-none-any.whl", hash = "sha256:f78c6a3972dde1cc9e4041cbf4de583546314ba52d3c97208e5b6b2221a9cb7d"},
+    {file = "ipython-7.23.1.tar.gz", hash = "sha256:714810a5c74f512b69d5f3b944c86e592cee0a5fb9c728e582f074610f6cf038"},
 ]
 ipython-genutils = [
     {file = "ipython_genutils-0.2.0-py2.py3-none-any.whl", hash = "sha256:72dd37233799e619666c9f639a9da83c34013a73e8bbc79a7a6348d93c61fab8"},
@@ -1628,8 +2066,8 @@ ipywidgets = [
     {file = "ipywidgets-7.6.3.tar.gz", hash = "sha256:9f1a43e620530f9e570e4a493677d25f08310118d315b00e25a18f12913c41f0"},
 ]
 isort = [
-    {file = "isort-5.7.0-py3-none-any.whl", hash = "sha256:fff4f0c04e1825522ce6949973e83110a6e907750cd92d128b0d14aaaadbffdc"},
-    {file = "isort-5.7.0.tar.gz", hash = "sha256:c729845434366216d320e936b8ad6f9d681aab72dc7cbc2d51bedc3582f3ad1e"},
+    {file = "isort-5.8.0-py3-none-any.whl", hash = "sha256:2bb1680aad211e3c9944dbce1d4ba09a989f04e238296c87fe2139faa26d655d"},
+    {file = "isort-5.8.0.tar.gz", hash = "sha256:0a943902919f65c5684ac4e0154b1ad4fac6dcaa5d9f3426b732f1c8b5419be6"},
 ]
 jedi = [
     {file = "jedi-0.18.0-py2.py3-none-any.whl", hash = "sha256:18456d83f65f400ab0c2d3319e48520420ef43b23a086fdc05dff34132f0fb93"},
@@ -1652,33 +2090,41 @@ jsonschema = [
     {file = "jsonschema-3.2.0.tar.gz", hash = "sha256:c8a85b28d377cc7737e46e2d9f2b4f44ee3c0e1deac6bf46ddefc7187d30797a"},
 ]
 jupyter-client = [
-    {file = "jupyter_client-6.1.11-py3-none-any.whl", hash = "sha256:5eaaa41df449167ebba5e1cf6ca9b31f7fd4f71625069836e2e4fee07fe3cb13"},
-    {file = "jupyter_client-6.1.11.tar.gz", hash = "sha256:649ca3aca1e28f27d73ef15868a7c7f10d6e70f761514582accec3ca6bb13085"},
+    {file = "jupyter_client-6.2.0-py3-none-any.whl", hash = "sha256:9715152067e3f7ea3b56f341c9a0f9715c8c7cc316ee0eb13c3c84f5ca0065f5"},
+    {file = "jupyter_client-6.2.0.tar.gz", hash = "sha256:e2ab61d79fbf8b56734a4c2499f19830fbd7f6fefb3e87868ef0545cb3c17eb9"},
 ]
 jupyter-core = [
     {file = "jupyter_core-4.7.1-py3-none-any.whl", hash = "sha256:8c6c0cac5c1b563622ad49321d5ec47017bd18b94facb381c6973a0486395f8e"},
     {file = "jupyter_core-4.7.1.tar.gz", hash = "sha256:79025cb3225efcd36847d0840f3fc672c0abd7afd0de83ba8a1d3837619122b4"},
 ]
+jupyter-packaging = [
+    {file = "jupyter_packaging-0.9.2-py2.py3-none-any.whl", hash = "sha256:7d2cff62d0b0cf5267f5cd9edb4bd04591f68aa919bf026e7787f0424c0e7c55"},
+    {file = "jupyter_packaging-0.9.2.tar.gz", hash = "sha256:780082b43506eccb3fb39ed9306300b637245e622a9644701c60d89992468822"},
+]
 jupyter-server = [
-    {file = "jupyter_server-1.4.0-py3-none-any.whl", hash = "sha256:c21f4a607aab1f3a1289209b5483ec42aeefaf6f9cc6f51ccdc23d9c09ea2387"},
-    {file = "jupyter_server-1.4.0.tar.gz", hash = "sha256:023431125ffeae8330eb0daab78658dffc51b3886ec5621ee006dcb0f267cc49"},
+    {file = "jupyter_server-1.6.4-py3-none-any.whl", hash = "sha256:942b9a092f79b3663f78c8003a411e6672f0ca8cfc64a59657060a0e5a02a0cb"},
+    {file = "jupyter_server-1.6.4.tar.gz", hash = "sha256:21c20986047563aba2997cb10ba9441a162ec1d65b5aece9d5fa625602bb2b40"},
 ]
 jupyterlab = [
-    {file = "jupyterlab-3.0.8-py3-none-any.whl", hash = "sha256:50da506d8881fb9137928341f8d7509d5d4110c94bed43116e14ec10de9e9e60"},
-    {file = "jupyterlab-3.0.8.tar.gz", hash = "sha256:e2250dec8042bb824d9dd5381f38b2b34eff7f93bed693bd486b252abafddcbe"},
+    {file = "jupyterlab-3.0.14-py3-none-any.whl", hash = "sha256:223ad786032119f495edc894a81925b6cc327a184f150adbc4e5ef94965d4921"},
+    {file = "jupyterlab-3.0.14.tar.gz", hash = "sha256:713a84991dfcca8c0bc260911f1bd54ac25a386a86285713b9555a60f795059b"},
 ]
 jupyterlab-pygments = [
     {file = "jupyterlab_pygments-0.1.2-py2.py3-none-any.whl", hash = "sha256:abfb880fd1561987efaefcb2d2ac75145d2a5d0139b1876d5be806e32f630008"},
     {file = "jupyterlab_pygments-0.1.2.tar.gz", hash = "sha256:cfcda0873626150932f438eccf0f8bf22bfa92345b814890ab360d666b254146"},
 ]
 jupyterlab-server = [
-    {file = "jupyterlab_server-2.2.1-py3-none-any.whl", hash = "sha256:b647c532bbb45dad83b1dcd18e9b8cd9a22a68f799811cbca35616b3e8d27acc"},
-    {file = "jupyterlab_server-2.2.1.tar.gz", hash = "sha256:8b619ec5e13c2d1ac2e3a43a8147382f41fb17b425b50fa38b1cc84849c7bf94"},
+    {file = "jupyterlab_server-2.5.0-py3-none-any.whl", hash = "sha256:c29784df3269d45f54a1e23e041ae9e8638773fa6b11095938b4d30bec1c75c6"},
+    {file = "jupyterlab_server-2.5.0.tar.gz", hash = "sha256:4c2c482cc91b7439ea5415f8f85ded95059fb9cdab03f5f0e6338246830c2a5c"},
 ]
 jupyterlab-widgets = [
     {file = "jupyterlab_widgets-1.0.0-py3-none-any.whl", hash = "sha256:caeaf3e6103180e654e7d8d2b81b7d645e59e432487c1d35a41d6d3ee56b3fef"},
     {file = "jupyterlab_widgets-1.0.0.tar.gz", hash = "sha256:5c1a29a84d3069208cb506b10609175b249b6486d6b1cbae8fcde2a11584fb78"},
 ]
+keras-preprocessing = [
+    {file = "Keras_Preprocessing-1.1.2-py2.py3-none-any.whl", hash = "sha256:7b82029b130ff61cc99b55f3bd27427df4838576838c5b2f65940e4fcec99a7b"},
+    {file = "Keras_Preprocessing-1.1.2.tar.gz", hash = "sha256:add82567c50c8bc648c14195bf544a5ce7c1f76761536956c3d2978970179ef3"},
+]
 kiwisolver = [
     {file = "kiwisolver-1.3.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:fd34fbbfbc40628200730bc1febe30631347103fc8d3d4fa012c21ab9c11eca9"},
     {file = "kiwisolver-1.3.1-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:d3155d828dec1d43283bd24d3d3e0d9c7c350cdfcc0bd06c0ad1209c1bbc36d0"},
@@ -1714,27 +2160,36 @@ kiwisolver = [
     {file = "kiwisolver-1.3.1.tar.gz", hash = "sha256:950a199911a8d94683a6b10321f9345d5a3a8433ec58b217ace979e18f16e248"},
 ]
 lazy-object-proxy = [
-    {file = "lazy-object-proxy-1.4.3.tar.gz", hash = "sha256:f3900e8a5de27447acbf900b4750b0ddfd7ec1ea7fbaf11dfa911141bc522af0"},
-    {file = "lazy_object_proxy-1.4.3-cp27-cp27m-macosx_10_13_x86_64.whl", hash = "sha256:a2238e9d1bb71a56cd710611a1614d1194dc10a175c1e08d75e1a7bcc250d442"},
-    {file = "lazy_object_proxy-1.4.3-cp27-cp27m-win32.whl", hash = "sha256:efa1909120ce98bbb3777e8b6f92237f5d5c8ea6758efea36a473e1d38f7d3e4"},
-    {file = "lazy_object_proxy-1.4.3-cp27-cp27m-win_amd64.whl", hash = "sha256:4677f594e474c91da97f489fea5b7daa17b5517190899cf213697e48d3902f5a"},
-    {file = "lazy_object_proxy-1.4.3-cp27-cp27mu-manylinux1_x86_64.whl", hash = "sha256:0c4b206227a8097f05c4dbdd323c50edf81f15db3b8dc064d08c62d37e1a504d"},
-    {file = "lazy_object_proxy-1.4.3-cp34-cp34m-manylinux1_x86_64.whl", hash = "sha256:d945239a5639b3ff35b70a88c5f2f491913eb94871780ebfabb2568bd58afc5a"},
-    {file = "lazy_object_proxy-1.4.3-cp34-cp34m-win32.whl", hash = "sha256:9651375199045a358eb6741df3e02a651e0330be090b3bc79f6d0de31a80ec3e"},
-    {file = "lazy_object_proxy-1.4.3-cp34-cp34m-win_amd64.whl", hash = "sha256:eba7011090323c1dadf18b3b689845fd96a61ba0a1dfbd7f24b921398affc357"},
-    {file = "lazy_object_proxy-1.4.3-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:48dab84ebd4831077b150572aec802f303117c8cc5c871e182447281ebf3ac50"},
-    {file = "lazy_object_proxy-1.4.3-cp35-cp35m-win32.whl", hash = "sha256:ca0a928a3ddbc5725be2dd1cf895ec0a254798915fb3a36af0964a0a4149e3db"},
-    {file = "lazy_object_proxy-1.4.3-cp35-cp35m-win_amd64.whl", hash = "sha256:194d092e6f246b906e8f70884e620e459fc54db3259e60cf69a4d66c3fda3449"},
-    {file = "lazy_object_proxy-1.4.3-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:97bb5884f6f1cdce0099f86b907aa41c970c3c672ac8b9c8352789e103cf3156"},
-    {file = "lazy_object_proxy-1.4.3-cp36-cp36m-win32.whl", hash = "sha256:cb2c7c57005a6804ab66f106ceb8482da55f5314b7fcb06551db1edae4ad1531"},
-    {file = "lazy_object_proxy-1.4.3-cp36-cp36m-win_amd64.whl", hash = "sha256:8d859b89baf8ef7f8bc6b00aa20316483d67f0b1cbf422f5b4dc56701c8f2ffb"},
-    {file = "lazy_object_proxy-1.4.3-cp37-cp37m-macosx_10_13_x86_64.whl", hash = "sha256:1be7e4c9f96948003609aa6c974ae59830a6baecc5376c25c92d7d697e684c08"},
-    {file = "lazy_object_proxy-1.4.3-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:d74bb8693bf9cf75ac3b47a54d716bbb1a92648d5f781fc799347cfc95952383"},
-    {file = "lazy_object_proxy-1.4.3-cp37-cp37m-win32.whl", hash = "sha256:9b15f3f4c0f35727d3a0fba4b770b3c4ebbb1fa907dbcc046a1d2799f3edd142"},
-    {file = "lazy_object_proxy-1.4.3-cp37-cp37m-win_amd64.whl", hash = "sha256:9254f4358b9b541e3441b007a0ea0764b9d056afdeafc1a5569eee1cc6c1b9ea"},
-    {file = "lazy_object_proxy-1.4.3-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:a6ae12d08c0bf9909ce12385803a543bfe99b95fe01e752536a60af2b7797c62"},
-    {file = "lazy_object_proxy-1.4.3-cp38-cp38-win32.whl", hash = "sha256:5541cada25cd173702dbd99f8e22434105456314462326f06dba3e180f203dfd"},
-    {file = "lazy_object_proxy-1.4.3-cp38-cp38-win_amd64.whl", hash = "sha256:59f79fef100b09564bc2df42ea2d8d21a64fdcda64979c0fa3db7bdaabaf6239"},
+    {file = "lazy-object-proxy-1.6.0.tar.gz", hash = "sha256:489000d368377571c6f982fba6497f2aa13c6d1facc40660963da62f5c379726"},
+    {file = "lazy_object_proxy-1.6.0-cp27-cp27m-macosx_10_14_x86_64.whl", hash = "sha256:c6938967f8528b3668622a9ed3b31d145fab161a32f5891ea7b84f6b790be05b"},
+    {file = "lazy_object_proxy-1.6.0-cp27-cp27m-win32.whl", hash = "sha256:ebfd274dcd5133e0afae738e6d9da4323c3eb021b3e13052d8cbd0e457b1256e"},
+    {file = "lazy_object_proxy-1.6.0-cp27-cp27m-win_amd64.whl", hash = "sha256:ed361bb83436f117f9917d282a456f9e5009ea12fd6de8742d1a4752c3017e93"},
+    {file = "lazy_object_proxy-1.6.0-cp27-cp27mu-manylinux1_x86_64.whl", hash = "sha256:d900d949b707778696fdf01036f58c9876a0d8bfe116e8d220cfd4b15f14e741"},
+    {file = "lazy_object_proxy-1.6.0-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:5743a5ab42ae40caa8421b320ebf3a998f89c85cdc8376d6b2e00bd12bd1b587"},
+    {file = "lazy_object_proxy-1.6.0-cp36-cp36m-manylinux2014_aarch64.whl", hash = "sha256:bf34e368e8dd976423396555078def5cfc3039ebc6fc06d1ae2c5a65eebbcde4"},
+    {file = "lazy_object_proxy-1.6.0-cp36-cp36m-win32.whl", hash = "sha256:b579f8acbf2bdd9ea200b1d5dea36abd93cabf56cf626ab9c744a432e15c815f"},
+    {file = "lazy_object_proxy-1.6.0-cp36-cp36m-win_amd64.whl", hash = "sha256:4f60460e9f1eb632584c9685bccea152f4ac2130e299784dbaf9fae9f49891b3"},
+    {file = "lazy_object_proxy-1.6.0-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:d7124f52f3bd259f510651450e18e0fd081ed82f3c08541dffc7b94b883aa981"},
+    {file = "lazy_object_proxy-1.6.0-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:22ddd618cefe54305df49e4c069fa65715be4ad0e78e8d252a33debf00f6ede2"},
+    {file = "lazy_object_proxy-1.6.0-cp37-cp37m-win32.whl", hash = "sha256:9d397bf41caad3f489e10774667310d73cb9c4258e9aed94b9ec734b34b495fd"},
+    {file = "lazy_object_proxy-1.6.0-cp37-cp37m-win_amd64.whl", hash = "sha256:24a5045889cc2729033b3e604d496c2b6f588c754f7a62027ad4437a7ecc4837"},
+    {file = "lazy_object_proxy-1.6.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:17e0967ba374fc24141738c69736da90e94419338fd4c7c7bef01ee26b339653"},
+    {file = "lazy_object_proxy-1.6.0-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:410283732af311b51b837894fa2f24f2c0039aa7f220135192b38fcc42bd43d3"},
+    {file = "lazy_object_proxy-1.6.0-cp38-cp38-win32.whl", hash = "sha256:85fb7608121fd5621cc4377a8961d0b32ccf84a7285b4f1d21988b2eae2868e8"},
+    {file = "lazy_object_proxy-1.6.0-cp38-cp38-win_amd64.whl", hash = "sha256:d1c2676e3d840852a2de7c7d5d76407c772927addff8d742b9808fe0afccebdf"},
+    {file = "lazy_object_proxy-1.6.0-cp39-cp39-macosx_10_14_x86_64.whl", hash = "sha256:b865b01a2e7f96db0c5d12cfea590f98d8c5ba64ad222300d93ce6ff9138bcad"},
+    {file = "lazy_object_proxy-1.6.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:4732c765372bd78a2d6b2150a6e99d00a78ec963375f236979c0626b97ed8e43"},
+    {file = "lazy_object_proxy-1.6.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:9698110e36e2df951c7c36b6729e96429c9c32b3331989ef19976592c5f3c77a"},
+    {file = "lazy_object_proxy-1.6.0-cp39-cp39-win32.whl", hash = "sha256:1fee665d2638491f4d6e55bd483e15ef21f6c8c2095f235fef72601021e64f61"},
+    {file = "lazy_object_proxy-1.6.0-cp39-cp39-win_amd64.whl", hash = "sha256:f5144c75445ae3ca2057faac03fda5a902eff196702b0a24daf1d6ce0650514b"},
+]
+libcst = [
+    {file = "libcst-0.3.18-py3-none-any.whl", hash = "sha256:da89cc1a37702caa6fe7207b1257fad58f0d4643597279733106ca902b4fdbad"},
+    {file = "libcst-0.3.18.tar.gz", hash = "sha256:30154cd0aaede8f3adfc4bdead23fe022a57e88898b9993cc3fea3bfbaf780d2"},
+]
+markdown = [
+    {file = "Markdown-3.3.4-py3-none-any.whl", hash = "sha256:96c3ba1261de2f7547b46a00ea8463832c921d3f9d6aba3f255a6f71386db20c"},
+    {file = "Markdown-3.3.4.tar.gz", hash = "sha256:31b5b491868dcc87d6c24b7e3d19a0d730d59d3e46f4eea6430a321bed387a49"},
 ]
 markupsafe = [
     {file = "MarkupSafe-1.1.1-cp27-cp27m-macosx_10_6_intel.whl", hash = "sha256:09027a7803a62ca78792ad89403b1b7a73a01c8cb65909cd876f7fcebd79b161"},
@@ -1755,48 +2210,65 @@ markupsafe = [
     {file = "MarkupSafe-1.1.1-cp35-cp35m-win32.whl", hash = "sha256:6dd73240d2af64df90aa7c4e7481e23825ea70af4b4922f8ede5b9e35f78a3b1"},
     {file = "MarkupSafe-1.1.1-cp35-cp35m-win_amd64.whl", hash = "sha256:9add70b36c5666a2ed02b43b335fe19002ee5235efd4b8a89bfcf9005bebac0d"},
     {file = "MarkupSafe-1.1.1-cp36-cp36m-macosx_10_6_intel.whl", hash = "sha256:24982cc2533820871eba85ba648cd53d8623687ff11cbb805be4ff7b4c971aff"},
+    {file = "MarkupSafe-1.1.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:d53bc011414228441014aa71dbec320c66468c1030aae3a6e29778a3382d96e5"},
     {file = "MarkupSafe-1.1.1-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:00bc623926325b26bb9605ae9eae8a215691f33cae5df11ca5424f06f2d1f473"},
     {file = "MarkupSafe-1.1.1-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:717ba8fe3ae9cc0006d7c451f0bb265ee07739daf76355d06366154ee68d221e"},
+    {file = "MarkupSafe-1.1.1-cp36-cp36m-manylinux2010_i686.whl", hash = "sha256:3b8a6499709d29c2e2399569d96719a1b21dcd94410a586a18526b143ec8470f"},
+    {file = "MarkupSafe-1.1.1-cp36-cp36m-manylinux2010_x86_64.whl", hash = "sha256:84dee80c15f1b560d55bcfe6d47b27d070b4681c699c572af2e3c7cc90a3b8e0"},
+    {file = "MarkupSafe-1.1.1-cp36-cp36m-manylinux2014_aarch64.whl", hash = "sha256:b1dba4527182c95a0db8b6060cc98ac49b9e2f5e64320e2b56e47cb2831978c7"},
     {file = "MarkupSafe-1.1.1-cp36-cp36m-win32.whl", hash = "sha256:535f6fc4d397c1563d08b88e485c3496cf5784e927af890fb3c3aac7f933ec66"},
     {file = "MarkupSafe-1.1.1-cp36-cp36m-win_amd64.whl", hash = "sha256:b1282f8c00509d99fef04d8ba936b156d419be841854fe901d8ae224c59f0be5"},
     {file = "MarkupSafe-1.1.1-cp37-cp37m-macosx_10_6_intel.whl", hash = "sha256:8defac2f2ccd6805ebf65f5eeb132adcf2ab57aa11fdf4c0dd5169a004710e7d"},
+    {file = "MarkupSafe-1.1.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:bf5aa3cbcfdf57fa2ee9cd1822c862ef23037f5c832ad09cfea57fa846dec193"},
     {file = "MarkupSafe-1.1.1-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:46c99d2de99945ec5cb54f23c8cd5689f6d7177305ebff350a58ce5f8de1669e"},
     {file = "MarkupSafe-1.1.1-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:ba59edeaa2fc6114428f1637ffff42da1e311e29382d81b339c1817d37ec93c6"},
+    {file = "MarkupSafe-1.1.1-cp37-cp37m-manylinux2010_i686.whl", hash = "sha256:6fffc775d90dcc9aed1b89219549b329a9250d918fd0b8fa8d93d154918422e1"},
+    {file = "MarkupSafe-1.1.1-cp37-cp37m-manylinux2010_x86_64.whl", hash = "sha256:a6a744282b7718a2a62d2ed9d993cad6f5f585605ad352c11de459f4108df0a1"},
+    {file = "MarkupSafe-1.1.1-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:195d7d2c4fbb0ee8139a6cf67194f3973a6b3042d742ebe0a9ed36d8b6f0c07f"},
     {file = "MarkupSafe-1.1.1-cp37-cp37m-win32.whl", hash = "sha256:b00c1de48212e4cc9603895652c5c410df699856a2853135b3967591e4beebc2"},
     {file = "MarkupSafe-1.1.1-cp37-cp37m-win_amd64.whl", hash = "sha256:9bf40443012702a1d2070043cb6291650a0841ece432556f784f004937f0f32c"},
     {file = "MarkupSafe-1.1.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:6788b695d50a51edb699cb55e35487e430fa21f1ed838122d722e0ff0ac5ba15"},
     {file = "MarkupSafe-1.1.1-cp38-cp38-manylinux1_i686.whl", hash = "sha256:cdb132fc825c38e1aeec2c8aa9338310d29d337bebbd7baa06889d09a60a1fa2"},
     {file = "MarkupSafe-1.1.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:13d3144e1e340870b25e7b10b98d779608c02016d5184cfb9927a9f10c689f42"},
+    {file = "MarkupSafe-1.1.1-cp38-cp38-manylinux2010_i686.whl", hash = "sha256:acf08ac40292838b3cbbb06cfe9b2cb9ec78fce8baca31ddb87aaac2e2dc3bc2"},
+    {file = "MarkupSafe-1.1.1-cp38-cp38-manylinux2010_x86_64.whl", hash = "sha256:d9be0ba6c527163cbed5e0857c451fcd092ce83947944d6c14bc95441203f032"},
+    {file = "MarkupSafe-1.1.1-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:caabedc8323f1e93231b52fc32bdcde6db817623d33e100708d9a68e1f53b26b"},
     {file = "MarkupSafe-1.1.1-cp38-cp38-win32.whl", hash = "sha256:596510de112c685489095da617b5bcbbac7dd6384aeebeda4df6025d0256a81b"},
     {file = "MarkupSafe-1.1.1-cp38-cp38-win_amd64.whl", hash = "sha256:e8313f01ba26fbbe36c7be1966a7b7424942f670f38e666995b88d012765b9be"},
+    {file = "MarkupSafe-1.1.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d73a845f227b0bfe8a7455ee623525ee656a9e2e749e4742706d80a6065d5e2c"},
+    {file = "MarkupSafe-1.1.1-cp39-cp39-manylinux1_i686.whl", hash = "sha256:98bae9582248d6cf62321dcb52aaf5d9adf0bad3b40582925ef7c7f0ed85fceb"},
+    {file = "MarkupSafe-1.1.1-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:2beec1e0de6924ea551859edb9e7679da6e4870d32cb766240ce17e0a0ba2014"},
+    {file = "MarkupSafe-1.1.1-cp39-cp39-manylinux2010_i686.whl", hash = "sha256:7fed13866cf14bba33e7176717346713881f56d9d2bcebab207f7a036f41b850"},
+    {file = "MarkupSafe-1.1.1-cp39-cp39-manylinux2010_x86_64.whl", hash = "sha256:6f1e273a344928347c1290119b493a1f0303c52f5a5eae5f16d74f48c15d4a85"},
+    {file = "MarkupSafe-1.1.1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:feb7b34d6325451ef96bc0e36e1a6c0c1c64bc1fbec4b854f4529e51887b1621"},
+    {file = "MarkupSafe-1.1.1-cp39-cp39-win32.whl", hash = "sha256:22c178a091fc6630d0d045bdb5992d2dfe14e3259760e713c490da5323866c39"},
+    {file = "MarkupSafe-1.1.1-cp39-cp39-win_amd64.whl", hash = "sha256:b7d644ddb4dbd407d31ffb699f1d140bc35478da613b441c582aeb7c43838dd8"},
     {file = "MarkupSafe-1.1.1.tar.gz", hash = "sha256:29872e92839765e546828bb7754a68c418d927cd064fd4708fab9fe9c8bb116b"},
 ]
 matplotlib = [
-    {file = "matplotlib-3.3.4-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:672960dd114e342b7c610bf32fb99d14227f29919894388b41553217457ba7ef"},
-    {file = "matplotlib-3.3.4-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:7c155437ae4fd366e2700e2716564d1787700687443de46bcb895fe0f84b761d"},
-    {file = "matplotlib-3.3.4-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:a17f0a10604fac7627ec82820439e7db611722e80c408a726cd00d8c974c2fb3"},
-    {file = "matplotlib-3.3.4-cp36-cp36m-win32.whl", hash = "sha256:215e2a30a2090221a9481db58b770ce56b8ef46f13224ae33afe221b14b24dc1"},
-    {file = "matplotlib-3.3.4-cp36-cp36m-win_amd64.whl", hash = "sha256:348e6032f666ffd151b323342f9278b16b95d4a75dfacae84a11d2829a7816ae"},
-    {file = "matplotlib-3.3.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:94bdd1d55c20e764d8aea9d471d2ae7a7b2c84445e0fa463f02e20f9730783e1"},
-    {file = "matplotlib-3.3.4-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:a1acb72f095f1d58ecc2538ed1b8bca0b57df313b13db36ed34b8cdf1868e674"},
-    {file = "matplotlib-3.3.4-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:46b1a60a04e6d884f0250d5cc8dc7bd21a9a96c584a7acdaab44698a44710bab"},
-    {file = "matplotlib-3.3.4-cp37-cp37m-win32.whl", hash = "sha256:ed4a9e6dcacba56b17a0a9ac22ae2c72a35b7f0ef0693aa68574f0b2df607a89"},
-    {file = "matplotlib-3.3.4-cp37-cp37m-win_amd64.whl", hash = "sha256:c24c05f645aef776e8b8931cb81e0f1632d229b42b6d216e30836e2e145a2b40"},
-    {file = "matplotlib-3.3.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:7310e353a4a35477c7f032409966920197d7df3e757c7624fd842f3eeb307d3d"},
-    {file = "matplotlib-3.3.4-cp38-cp38-manylinux1_i686.whl", hash = "sha256:451cc89cb33d6652c509fc6b588dc51c41d7246afdcc29b8624e256b7663ed1f"},
-    {file = "matplotlib-3.3.4-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:3d2eb9c1cc254d0ffa90bc96fde4b6005d09c2228f99dfd493a4219c1af99644"},
-    {file = "matplotlib-3.3.4-cp38-cp38-win32.whl", hash = "sha256:e15fa23d844d54e7b3b7243afd53b7567ee71c721f592deb0727ee85e668f96a"},
-    {file = "matplotlib-3.3.4-cp38-cp38-win_amd64.whl", hash = "sha256:1de0bb6cbfe460725f0e97b88daa8643bcf9571c18ba90bb8e41432aaeca91d6"},
-    {file = "matplotlib-3.3.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f44149a0ef5b4991aaef12a93b8e8d66d6412e762745fea1faa61d98524e0ba9"},
-    {file = "matplotlib-3.3.4-cp39-cp39-manylinux1_i686.whl", hash = "sha256:746a1df55749629e26af7f977ea426817ca9370ad1569436608dc48d1069b87c"},
-    {file = "matplotlib-3.3.4-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:5f571b92a536206f7958f7cb2d367ff6c9a1fa8229dc35020006e4cdd1ca0acd"},
-    {file = "matplotlib-3.3.4-cp39-cp39-win32.whl", hash = "sha256:9265ae0fb35e29f9b8cc86c2ab0a2e3dcddc4dd9de4b85bf26c0f63fe5c1c2ca"},
-    {file = "matplotlib-3.3.4-cp39-cp39-win_amd64.whl", hash = "sha256:9a79e5dd7bb797aa611048f5b70588b23c5be05b63eefd8a0d152ac77c4243db"},
-    {file = "matplotlib-3.3.4-pp36-pypy36_pp73-macosx_10_9_x86_64.whl", hash = "sha256:1e850163579a8936eede29fad41e202b25923a0a8d5ffd08ce50fc0a97dcdc93"},
-    {file = "matplotlib-3.3.4-pp36-pypy36_pp73-manylinux2010_x86_64.whl", hash = "sha256:d738acfdfb65da34c91acbdb56abed46803db39af259b7f194dc96920360dbe4"},
-    {file = "matplotlib-3.3.4-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:aa49571d8030ad0b9ac39708ee77bd2a22f87815e12bdee52ecaffece9313ed8"},
-    {file = "matplotlib-3.3.4-pp37-pypy37_pp73-manylinux2010_x86_64.whl", hash = "sha256:cf3a7e54eff792f0815dbbe9b85df2f13d739289c93d346925554f71d484be78"},
-    {file = "matplotlib-3.3.4.tar.gz", hash = "sha256:3e477db76c22929e4c6876c44f88d790aacdf3c3f8f3a90cb1975c0bf37825b0"},
+    {file = "matplotlib-3.4.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:7a54efd6fcad9cb3cd5ef2064b5a3eeb0b63c99f26c346bdcf66e7c98294d7cc"},
+    {file = "matplotlib-3.4.1-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:86dc94e44403fa0f2b1dd76c9794d66a34e821361962fe7c4e078746362e3b14"},
+    {file = "matplotlib-3.4.1-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:574306171b84cd6854c83dc87bc353cacc0f60184149fb00c9ea871eca8c1ecb"},
+    {file = "matplotlib-3.4.1-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:84a10e462120aa7d9eb6186b50917ed5a6286ee61157bfc17c5b47987d1a9068"},
+    {file = "matplotlib-3.4.1-cp37-cp37m-win32.whl", hash = "sha256:81e6fe8b18ef5be67f40a1d4f07d5a4ed21d3878530193898449ddef7793952f"},
+    {file = "matplotlib-3.4.1-cp37-cp37m-win_amd64.whl", hash = "sha256:c45e7bf89ea33a2adaef34774df4e692c7436a18a48bcb0e47a53e698a39fa39"},
+    {file = "matplotlib-3.4.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1f83a32e4b6045191f9d34e4dc68c0a17c870b57ef9cca518e516da591246e79"},
+    {file = "matplotlib-3.4.1-cp38-cp38-manylinux1_i686.whl", hash = "sha256:a18cc1ab4a35b845cf33b7880c979f5c609fd26c2d6e74ddfacb73dcc60dd956"},
+    {file = "matplotlib-3.4.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:ac2a30a09984c2719f112a574b6543ccb82d020fd1b23b4d55bf4759ba8dd8f5"},
+    {file = "matplotlib-3.4.1-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:a97781453ac79409ddf455fccf344860719d95142f9c334f2a8f3fff049ffec3"},
+    {file = "matplotlib-3.4.1-cp38-cp38-win32.whl", hash = "sha256:2eee37340ca1b353e0a43a33da79d0cd4bcb087064a0c3c3d1329cdea8fbc6f3"},
+    {file = "matplotlib-3.4.1-cp38-cp38-win_amd64.whl", hash = "sha256:90dbc007f6389bcfd9ef4fe5d4c78c8d2efe4e0ebefd48b4f221cdfed5672be2"},
+    {file = "matplotlib-3.4.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7f16660edf9a8bcc0f766f51c9e1b9d2dc6ceff6bf636d2dbd8eb925d5832dfd"},
+    {file = "matplotlib-3.4.1-cp39-cp39-manylinux1_i686.whl", hash = "sha256:a989022f89cda417f82dbf65e0a830832afd8af743d05d1414fb49549287ff04"},
+    {file = "matplotlib-3.4.1-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:be4430b33b25e127fc4ea239cc386389de420be4d63e71d5359c20b562951ce1"},
+    {file = "matplotlib-3.4.1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:7561fd541477d41f3aa09457c434dd1f7604f3bd26d7858d52018f5dfe1c06d1"},
+    {file = "matplotlib-3.4.1-cp39-cp39-win32.whl", hash = "sha256:9f374961a3996c2d1b41ba3145462c3708a89759e604112073ed6c8bdf9f622f"},
+    {file = "matplotlib-3.4.1-cp39-cp39-win_amd64.whl", hash = "sha256:53ceb12ef44f8982b45adc7a0889a7e2df1d758e8b360f460e435abe8a8cd658"},
+    {file = "matplotlib-3.4.1.tar.gz", hash = "sha256:84d4c4f650f356678a5d658a43ca21a41fca13f9b8b00169c0b76e6a6a948908"},
+]
+matplotlib-inline = [
+    {file = "matplotlib-inline-0.1.2.tar.gz", hash = "sha256:f41d5ff73c9f5385775d5c0bc13b424535c8402fe70ea8210f93e11f3683993e"},
+    {file = "matplotlib_inline-0.1.2-py3-none-any.whl", hash = "sha256:5cf1176f554abb4fa98cb362aa2b55c500147e4bdbb07e3fda359143e1da0811"},
 ]
 mccabe = [
     {file = "mccabe-0.6.1-py2.py3-none-any.whl", hash = "sha256:ab8a6258860da4b6677da4bd2fe5dc2c659cff31b3ee4f7f5d64e79735b80d42"},
@@ -1806,55 +2278,73 @@ mistune = [
     {file = "mistune-0.8.4-py2.py3-none-any.whl", hash = "sha256:88a1051873018da288eee8538d476dffe1262495144b33ecb586c4ab266bb8d4"},
     {file = "mistune-0.8.4.tar.gz", hash = "sha256:59a3429db53c50b5c6bcc8a07f8848cb00d7dc8bdb431a4ab41920d201d4756e"},
 ]
+mypy-extensions = [
+    {file = "mypy_extensions-0.4.3-py2.py3-none-any.whl", hash = "sha256:090fedd75945a69ae91ce1303b5824f428daf5a028d2f6ab8a299250a846f15d"},
+    {file = "mypy_extensions-0.4.3.tar.gz", hash = "sha256:2d82818f5bb3e369420cb3c4060a7970edba416647068eb4c5343488a6c604a8"},
+]
 nbclassic = [
-    {file = "nbclassic-0.2.6-py3-none-any.whl", hash = "sha256:0248333262d6f90c2fbe05aacb4f008f1d71b5250a9f737488e0a03cfa1c6ed5"},
-    {file = "nbclassic-0.2.6.tar.gz", hash = "sha256:b649436ff85dc731ba8115deef089e5abbe827d7a6dccbad42c15b8d427104e8"},
+    {file = "nbclassic-0.2.7-py3-none-any.whl", hash = "sha256:8843cafa3827db05b9e7da909a4955b552de13e20707474844cfdd84bf4bf655"},
+    {file = "nbclassic-0.2.7.tar.gz", hash = "sha256:6835b27ffaed1f7a497371bb2c05c0f2b123cbcf7c3c116c1ca808ac78ac2fe8"},
 ]
 nbclient = [
-    {file = "nbclient-0.5.2-py3-none-any.whl", hash = "sha256:1e0375490cd33fda6c23e61084476298a87f34d02607a038aa8ecc6e8901615f"},
-    {file = "nbclient-0.5.2.tar.gz", hash = "sha256:0ed6e5700ad18818030a3a5f0f201408c5972d8e38793840cd9339488fd9f7c4"},
+    {file = "nbclient-0.5.3-py3-none-any.whl", hash = "sha256:e79437364a2376892b3f46bedbf9b444e5396cfb1bc366a472c37b48e9551500"},
+    {file = "nbclient-0.5.3.tar.gz", hash = "sha256:db17271330c68c8c88d46d72349e24c147bb6f34ec82d8481a8f025c4d26589c"},
 ]
 nbconvert = [
     {file = "nbconvert-6.0.7-py3-none-any.whl", hash = "sha256:39e9f977920b203baea0be67eea59f7b37a761caa542abe80f5897ce3cf6311d"},
     {file = "nbconvert-6.0.7.tar.gz", hash = "sha256:cbbc13a86dfbd4d1b5dee106539de0795b4db156c894c2c5dc382062bbc29002"},
 ]
 nbformat = [
-    {file = "nbformat-5.1.2-py3-none-any.whl", hash = "sha256:3949fdc8f5fa0b1afca16fb307546e78494fa7a7bceff880df8168eafda0e7ac"},
-    {file = "nbformat-5.1.2.tar.gz", hash = "sha256:1d223e64a18bfa7cdf2db2e9ba8a818312fc2a0701d2e910b58df66809385a56"},
+    {file = "nbformat-5.1.3-py3-none-any.whl", hash = "sha256:eb8447edd7127d043361bc17f2f5a807626bc8e878c7709a1c647abda28a9171"},
+    {file = "nbformat-5.1.3.tar.gz", hash = "sha256:b516788ad70771c6250977c1374fcca6edebe6126fd2adb5a69aa5c2356fd1c8"},
 ]
 nest-asyncio = [
     {file = "nest_asyncio-1.5.1-py3-none-any.whl", hash = "sha256:76d6e972265063fe92a90b9cc4fb82616e07d586b346ed9d2c89a4187acea39c"},
     {file = "nest_asyncio-1.5.1.tar.gz", hash = "sha256:afc5a1c515210a23c461932765691ad39e8eba6551c055ac8d5546e69250d0aa"},
 ]
 notebook = [
-    {file = "notebook-6.2.0-py3-none-any.whl", hash = "sha256:25ad93c982b623441b491e693ef400598d1a46cdf11b8c9c0b3be6c61ebbb6cd"},
-    {file = "notebook-6.2.0.tar.gz", hash = "sha256:0464b28e18e7a06cec37e6177546c2322739be07962dd13bf712bcb88361f013"},
+    {file = "notebook-6.3.0-py3-none-any.whl", hash = "sha256:cb271af1e8134e3d6fc6d458bdc79c40cbfc84c1eb036a493f216d58f0880e92"},
+    {file = "notebook-6.3.0.tar.gz", hash = "sha256:cbc9398d6c81473e9cdb891d2cae9c0d3718fca289dda6d26df5cb660fcadc7d"},
 ]
 numpy = [
-    {file = "numpy-1.20.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:ae61f02b84a0211abb56462a3b6cd1e7ec39d466d3160eb4e1da8bf6717cdbeb"},
-    {file = "numpy-1.20.1-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:65410c7f4398a0047eea5cca9b74009ea61178efd78d1be9847fac1d6716ec1e"},
-    {file = "numpy-1.20.1-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:2d7e27442599104ee08f4faed56bb87c55f8b10a5494ac2ead5c98a4b289e61f"},
-    {file = "numpy-1.20.1-cp37-cp37m-manylinux2010_i686.whl", hash = "sha256:4ed8e96dc146e12c1c5cdd6fb9fd0757f2ba66048bf94c5126b7efebd12d0090"},
-    {file = "numpy-1.20.1-cp37-cp37m-manylinux2010_x86_64.whl", hash = "sha256:ecb5b74c702358cdc21268ff4c37f7466357871f53a30e6f84c686952bef16a9"},
-    {file = "numpy-1.20.1-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:b9410c0b6fed4a22554f072a86c361e417f0258838957b78bd063bde2c7f841f"},
-    {file = "numpy-1.20.1-cp37-cp37m-win32.whl", hash = "sha256:3d3087e24e354c18fb35c454026af3ed8997cfd4997765266897c68d724e4845"},
-    {file = "numpy-1.20.1-cp37-cp37m-win_amd64.whl", hash = "sha256:89f937b13b8dd17b0099c7c2e22066883c86ca1575a975f754babc8fbf8d69a9"},
-    {file = "numpy-1.20.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:a1d7995d1023335e67fb070b2fae6f5968f5be3802b15ad6d79d81ecaa014fe0"},
-    {file = "numpy-1.20.1-cp38-cp38-manylinux1_i686.whl", hash = "sha256:60759ab15c94dd0e1ed88241fd4fa3312db4e91d2c8f5a2d4cf3863fad83d65b"},
-    {file = "numpy-1.20.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:125a0e10ddd99a874fd357bfa1b636cd58deb78ba4a30b5ddb09f645c3512e04"},
-    {file = "numpy-1.20.1-cp38-cp38-manylinux2010_i686.whl", hash = "sha256:c26287dfc888cf1e65181f39ea75e11f42ffc4f4529e5bd19add57ad458996e2"},
-    {file = "numpy-1.20.1-cp38-cp38-manylinux2010_x86_64.whl", hash = "sha256:7199109fa46277be503393be9250b983f325880766f847885607d9b13848f257"},
-    {file = "numpy-1.20.1-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:72251e43ac426ff98ea802a931922c79b8d7596480300eb9f1b1e45e0543571e"},
-    {file = "numpy-1.20.1-cp38-cp38-win32.whl", hash = "sha256:c91ec9569facd4757ade0888371eced2ecf49e7982ce5634cc2cf4e7331a4b14"},
-    {file = "numpy-1.20.1-cp38-cp38-win_amd64.whl", hash = "sha256:13adf545732bb23a796914fe5f891a12bd74cf3d2986eed7b7eba2941eea1590"},
-    {file = "numpy-1.20.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:104f5e90b143dbf298361a99ac1af4cf59131218a045ebf4ee5990b83cff5fab"},
-    {file = "numpy-1.20.1-cp39-cp39-manylinux2010_i686.whl", hash = "sha256:89e5336f2bec0c726ac7e7cdae181b325a9c0ee24e604704ed830d241c5e47ff"},
-    {file = "numpy-1.20.1-cp39-cp39-manylinux2010_x86_64.whl", hash = "sha256:032be656d89bbf786d743fee11d01ef318b0781281241997558fa7950028dd29"},
-    {file = "numpy-1.20.1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:66b467adfcf628f66ea4ac6430ded0614f5cc06ba530d09571ea404789064adc"},
-    {file = "numpy-1.20.1-cp39-cp39-win32.whl", hash = "sha256:12e4ba5c6420917571f1a5becc9338abbde71dd811ce40b37ba62dec7b39af6d"},
-    {file = "numpy-1.20.1-cp39-cp39-win_amd64.whl", hash = "sha256:9c94cab5054bad82a70b2e77741271790304651d584e2cdfe2041488e753863b"},
-    {file = "numpy-1.20.1-pp37-pypy37_pp73-manylinux2010_x86_64.whl", hash = "sha256:9eb551d122fadca7774b97db8a112b77231dcccda8e91a5bc99e79890797175e"},
-    {file = "numpy-1.20.1.zip", hash = "sha256:3bc63486a870294683980d76ec1e3efc786295ae00128f9ea38e2c6e74d5a60a"},
+    {file = "numpy-1.19.5-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:cc6bd4fd593cb261332568485e20a0712883cf631f6f5e8e86a52caa8b2b50ff"},
+    {file = "numpy-1.19.5-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:aeb9ed923be74e659984e321f609b9ba54a48354bfd168d21a2b072ed1e833ea"},
+    {file = "numpy-1.19.5-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:8b5e972b43c8fc27d56550b4120fe6257fdc15f9301914380b27f74856299fea"},
+    {file = "numpy-1.19.5-cp36-cp36m-manylinux2010_i686.whl", hash = "sha256:43d4c81d5ffdff6bae58d66a3cd7f54a7acd9a0e7b18d97abb255defc09e3140"},
+    {file = "numpy-1.19.5-cp36-cp36m-manylinux2010_x86_64.whl", hash = "sha256:a4646724fba402aa7504cd48b4b50e783296b5e10a524c7a6da62e4a8ac9698d"},
+    {file = "numpy-1.19.5-cp36-cp36m-manylinux2014_aarch64.whl", hash = "sha256:2e55195bc1c6b705bfd8ad6f288b38b11b1af32f3c8289d6c50d47f950c12e76"},
+    {file = "numpy-1.19.5-cp36-cp36m-win32.whl", hash = "sha256:39b70c19ec771805081578cc936bbe95336798b7edf4732ed102e7a43ec5c07a"},
+    {file = "numpy-1.19.5-cp36-cp36m-win_amd64.whl", hash = "sha256:dbd18bcf4889b720ba13a27ec2f2aac1981bd41203b3a3b27ba7a33f88ae4827"},
+    {file = "numpy-1.19.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:603aa0706be710eea8884af807b1b3bc9fb2e49b9f4da439e76000f3b3c6ff0f"},
+    {file = "numpy-1.19.5-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:cae865b1cae1ec2663d8ea56ef6ff185bad091a5e33ebbadd98de2cfa3fa668f"},
+    {file = "numpy-1.19.5-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:36674959eed6957e61f11c912f71e78857a8d0604171dfd9ce9ad5cbf41c511c"},
+    {file = "numpy-1.19.5-cp37-cp37m-manylinux2010_i686.whl", hash = "sha256:06fab248a088e439402141ea04f0fffb203723148f6ee791e9c75b3e9e82f080"},
+    {file = "numpy-1.19.5-cp37-cp37m-manylinux2010_x86_64.whl", hash = "sha256:6149a185cece5ee78d1d196938b2a8f9d09f5a5ebfbba66969302a778d5ddd1d"},
+    {file = "numpy-1.19.5-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:50a4a0ad0111cc1b71fa32dedd05fa239f7fb5a43a40663269bb5dc7877cfd28"},
+    {file = "numpy-1.19.5-cp37-cp37m-win32.whl", hash = "sha256:d051ec1c64b85ecc69531e1137bb9751c6830772ee5c1c426dbcfe98ef5788d7"},
+    {file = "numpy-1.19.5-cp37-cp37m-win_amd64.whl", hash = "sha256:a12ff4c8ddfee61f90a1633a4c4afd3f7bcb32b11c52026c92a12e1325922d0d"},
+    {file = "numpy-1.19.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:cf2402002d3d9f91c8b01e66fbb436a4ed01c6498fffed0e4c7566da1d40ee1e"},
+    {file = "numpy-1.19.5-cp38-cp38-manylinux1_i686.whl", hash = "sha256:1ded4fce9cfaaf24e7a0ab51b7a87be9038ea1ace7f34b841fe3b6894c721d1c"},
+    {file = "numpy-1.19.5-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:012426a41bc9ab63bb158635aecccc7610e3eff5d31d1eb43bc099debc979d94"},
+    {file = "numpy-1.19.5-cp38-cp38-manylinux2010_i686.whl", hash = "sha256:759e4095edc3c1b3ac031f34d9459fa781777a93ccc633a472a5468587a190ff"},
+    {file = "numpy-1.19.5-cp38-cp38-manylinux2010_x86_64.whl", hash = "sha256:a9d17f2be3b427fbb2bce61e596cf555d6f8a56c222bd2ca148baeeb5e5c783c"},
+    {file = "numpy-1.19.5-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:99abf4f353c3d1a0c7a5f27699482c987cf663b1eac20db59b8c7b061eabd7fc"},
+    {file = "numpy-1.19.5-cp38-cp38-win32.whl", hash = "sha256:384ec0463d1c2671170901994aeb6dce126de0a95ccc3976c43b0038a37329c2"},
+    {file = "numpy-1.19.5-cp38-cp38-win_amd64.whl", hash = "sha256:811daee36a58dc79cf3d8bdd4a490e4277d0e4b7d103a001a4e73ddb48e7e6aa"},
+    {file = "numpy-1.19.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:c843b3f50d1ab7361ca4f0b3639bf691569493a56808a0b0c54a051d260b7dbd"},
+    {file = "numpy-1.19.5-cp39-cp39-manylinux1_i686.whl", hash = "sha256:d6631f2e867676b13026e2846180e2c13c1e11289d67da08d71cacb2cd93d4aa"},
+    {file = "numpy-1.19.5-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:7fb43004bce0ca31d8f13a6eb5e943fa73371381e53f7074ed21a4cb786c32f8"},
+    {file = "numpy-1.19.5-cp39-cp39-manylinux2010_i686.whl", hash = "sha256:2ea52bd92ab9f768cc64a4c3ef8f4b2580a17af0a5436f6126b08efbd1838371"},
+    {file = "numpy-1.19.5-cp39-cp39-manylinux2010_x86_64.whl", hash = "sha256:400580cbd3cff6ffa6293df2278c75aef2d58d8d93d3c5614cd67981dae68ceb"},
+    {file = "numpy-1.19.5-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:df609c82f18c5b9f6cb97271f03315ff0dbe481a2a02e56aeb1b1a985ce38e60"},
+    {file = "numpy-1.19.5-cp39-cp39-win32.whl", hash = "sha256:ab83f24d5c52d60dbc8cd0528759532736b56db58adaa7b5f1f76ad551416a1e"},
+    {file = "numpy-1.19.5-cp39-cp39-win_amd64.whl", hash = "sha256:0eef32ca3132a48e43f6a0f5a82cb508f22ce5a3d6f67a8329c81c8e226d3f6e"},
+    {file = "numpy-1.19.5-pp36-pypy36_pp73-manylinux2010_x86_64.whl", hash = "sha256:a0d53e51a6cb6f0d9082decb7a4cb6dfb33055308c4c44f53103c073f649af73"},
+    {file = "numpy-1.19.5.zip", hash = "sha256:a76f502430dd98d7546e1ea2250a7360c065a5fdea52b2dffe8ae7180909b6f4"},
+]
+oauthlib = [
+    {file = "oauthlib-3.1.0-py2.py3-none-any.whl", hash = "sha256:df884cd6cbe20e32633f1db1072e9356f53638e4361bef4e8b03c9127c9328ea"},
+    {file = "oauthlib-3.1.0.tar.gz", hash = "sha256:bee41cc35fcca6e988463cacc3bcb8a96224f470ca547e697b604cc697b2f889"},
 ]
 opencv-python = [
     {file = "opencv-python-4.5.1.48.tar.gz", hash = "sha256:78a6db8467639383caedf1d111da3510a4ee1a0aacf2117821cae2ee8f92ce37"},
@@ -1883,36 +2373,38 @@ opencv-python = [
     {file = "opencv_python-4.5.1.48-cp39-cp39-win32.whl", hash = "sha256:5172cb37dfd8a0b4945b071a493eb36e5f17675a160637fa380f9c1d9d80535c"},
     {file = "opencv_python-4.5.1.48-cp39-cp39-win_amd64.whl", hash = "sha256:c8cc1f5ff3c352ebe756119014c4e4ec7ae5ac536d1f66b0316667ced37637c8"},
 ]
+opt-einsum = [
+    {file = "opt_einsum-3.3.0-py3-none-any.whl", hash = "sha256:2455e59e3947d3c275477df7f5205b30635e266fe6dc300e3d9f9646bfcea147"},
+    {file = "opt_einsum-3.3.0.tar.gz", hash = "sha256:59f6475f77bbc37dcf7cd748519c0ec60722e91e63ca114e68821c0c54a46549"},
+]
 packaging = [
     {file = "packaging-20.9-py2.py3-none-any.whl", hash = "sha256:67714da7f7bc052e064859c05c595155bd1ee9f69f76557e21f051443c20947a"},
     {file = "packaging-20.9.tar.gz", hash = "sha256:5b327ac1320dc863dca72f4514ecc086f31186744b84a230374cc1fd776feae5"},
 ]
 pandas = [
-    {file = "pandas-1.2.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:c76a108272a4de63189b8f64086bbaf8348841d7e610b52f50959fbbf401524f"},
-    {file = "pandas-1.2.2-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:e61a089151f1ed78682aa77a3bcae0495cf8e585546c26924857d7e8a9960568"},
-    {file = "pandas-1.2.2-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:fc351cd2df318674669481eb978a7799f24fd14ef26987a1aa75105b0531d1a1"},
-    {file = "pandas-1.2.2-cp37-cp37m-win32.whl", hash = "sha256:05ca6bda50123158eb15e716789083ca4c3b874fd47688df1716daa72644ee1c"},
-    {file = "pandas-1.2.2-cp37-cp37m-win_amd64.whl", hash = "sha256:08b6bbe74ae2b3e4741a744d2bce35ce0868a6b4189d8b84be26bb334f73da4c"},
-    {file = "pandas-1.2.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:230de25bd9791748b2638c726a5f37d77a96a83854710110fadd068d1e2c2c9f"},
-    {file = "pandas-1.2.2-cp38-cp38-manylinux1_i686.whl", hash = "sha256:a50cf3110a1914442e7b7b9cef394ef6bed0d801b8a34d56f4c4e927bbbcc7d0"},
-    {file = "pandas-1.2.2-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:4d33537a375cfb2db4d388f9a929b6582a364137ea6c6b161b0166440d6ffe36"},
-    {file = "pandas-1.2.2-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:8ac028cd9a6e1efe43f3dc36f708263838283535cc45430a98b9803f44f4c84b"},
-    {file = "pandas-1.2.2-cp38-cp38-win32.whl", hash = "sha256:c43d1beb098a1da15934262009a7120aac8dafa20d042b31dab48c28868eb5a4"},
-    {file = "pandas-1.2.2-cp38-cp38-win_amd64.whl", hash = "sha256:69a70d79a791fa1fd5f6e84b8b6dec2ec92369bde4ab2e18d43fc8a1825f51d1"},
-    {file = "pandas-1.2.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:cbad4155028b8ca66aa19a8b13f593ebbf51bfb6c3f2685fe64f04d695a81864"},
-    {file = "pandas-1.2.2-cp39-cp39-manylinux1_i686.whl", hash = "sha256:fbddbb20f30308ba2546193d64e18c23b69f59d48cdef73676cbed803495c8dc"},
-    {file = "pandas-1.2.2-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:214ae60b1f863844e97c87f758c29940ffad96c666257323a4bb2a33c58719c2"},
-    {file = "pandas-1.2.2-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:26b4919eb3039a686a86cd4f4a74224f8f66e3a419767da26909dcdd3b37c31e"},
-    {file = "pandas-1.2.2-cp39-cp39-win32.whl", hash = "sha256:e3c250faaf9979d0ec836d25e420428db37783fa5fed218da49c9fc06f80f51c"},
-    {file = "pandas-1.2.2-cp39-cp39-win_amd64.whl", hash = "sha256:e9bbcc7b5c432600797981706f5b54611990c6a86b2e424329c995eea5f9c42b"},
-    {file = "pandas-1.2.2.tar.gz", hash = "sha256:14ed84b463e9b84c8ff9308a79b04bf591ae3122a376ee0f62c68a1bd917a773"},
+    {file = "pandas-1.2.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:c601c6fdebc729df4438ec1f62275d6136a0dd14d332fc0e8ce3f7d2aadb4dd6"},
+    {file = "pandas-1.2.4-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:8d4c74177c26aadcfb4fd1de6c1c43c2bf822b3e0fc7a9b409eeaf84b3e92aaa"},
+    {file = "pandas-1.2.4-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:b730add5267f873b3383c18cac4df2527ac4f0f0eed1c6cf37fcb437e25cf558"},
+    {file = "pandas-1.2.4-cp37-cp37m-win32.whl", hash = "sha256:2cb7e8f4f152f27dc93f30b5c7a98f6c748601ea65da359af734dd0cf3fa733f"},
+    {file = "pandas-1.2.4-cp37-cp37m-win_amd64.whl", hash = "sha256:2111c25e69fa9365ba80bbf4f959400054b2771ac5d041ed19415a8b488dc70a"},
+    {file = "pandas-1.2.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:167693a80abc8eb28051fbd184c1b7afd13ce2c727a5af47b048f1ea3afefff4"},
+    {file = "pandas-1.2.4-cp38-cp38-manylinux1_i686.whl", hash = "sha256:612add929bf3ba9d27b436cc8853f5acc337242d6b584203f207e364bb46cb12"},
+    {file = "pandas-1.2.4-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:971e2a414fce20cc5331fe791153513d076814d30a60cd7348466943e6e909e4"},
+    {file = "pandas-1.2.4-cp38-cp38-win32.whl", hash = "sha256:68d7baa80c74aaacbed597265ca2308f017859123231542ff8a5266d489e1858"},
+    {file = "pandas-1.2.4-cp38-cp38-win_amd64.whl", hash = "sha256:bd659c11a4578af740782288cac141a322057a2e36920016e0fc7b25c5a4b686"},
+    {file = "pandas-1.2.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9db70ffa8b280bb4de83f9739d514cd0735825e79eef3a61d312420b9f16b758"},
+    {file = "pandas-1.2.4-cp39-cp39-manylinux1_i686.whl", hash = "sha256:298f0553fd3ba8e002c4070a723a59cdb28eda579f3e243bc2ee397773f5398b"},
+    {file = "pandas-1.2.4-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:52d2472acbb8a56819a87aafdb8b5b6d2b3386e15c95bde56b281882529a7ded"},
+    {file = "pandas-1.2.4-cp39-cp39-win32.whl", hash = "sha256:d0877407359811f7b853b548a614aacd7dea83b0c0c84620a9a643f180060950"},
+    {file = "pandas-1.2.4-cp39-cp39-win_amd64.whl", hash = "sha256:2b063d41803b6a19703b845609c0b700913593de067b552a8b24dd8eeb8c9895"},
+    {file = "pandas-1.2.4.tar.gz", hash = "sha256:649ecab692fade3cbfcf967ff936496b0cfba0af00a55dfaacd82bdda5cb2279"},
 ]
 pandocfilters = [
     {file = "pandocfilters-1.4.3.tar.gz", hash = "sha256:bc63fbb50534b4b1f8ebe1860889289e8af94a23bff7445259592df25a3906eb"},
 ]
 parso = [
-    {file = "parso-0.8.1-py2.py3-none-any.whl", hash = "sha256:15b00182f472319383252c18d5913b69269590616c947747bc50bf4ac768f410"},
-    {file = "parso-0.8.1.tar.gz", hash = "sha256:8519430ad07087d4c997fda3a7918f7cfa27cb58972a8c89c2a0295a1c940e9e"},
+    {file = "parso-0.8.2-py2.py3-none-any.whl", hash = "sha256:a8c4922db71e4fdb90e0d0bc6e50f9b273d3397925e5e60a717e719201778d22"},
+    {file = "parso-0.8.2.tar.gz", hash = "sha256:12b83492c6239ce32ff5eed6d3639d6a536170723c6f3f1506869f1ace413398"},
 ]
 pexpect = [
     {file = "pexpect-4.8.0-py2.py3-none-any.whl", hash = "sha256:0b48a55dcb3c05f3329815901ea4fc1537514d6ba867a152b581d69ae3710937"},
@@ -1923,71 +2415,73 @@ pickleshare = [
     {file = "pickleshare-0.7.5.tar.gz", hash = "sha256:87683d47965c1da65cdacaf31c8441d12b8044cdec9aca500cd78fc2c683afca"},
 ]
 pillow = [
-    {file = "Pillow-8.1.0-cp36-cp36m-macosx_10_10_x86_64.whl", hash = "sha256:d355502dce85ade85a2511b40b4c61a128902f246504f7de29bbeec1ae27933a"},
-    {file = "Pillow-8.1.0-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:93a473b53cc6e0b3ce6bf51b1b95b7b1e7e6084be3a07e40f79b42e83503fbf2"},
-    {file = "Pillow-8.1.0-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:2353834b2c49b95e1313fb34edf18fca4d57446675d05298bb694bca4b194174"},
-    {file = "Pillow-8.1.0-cp36-cp36m-manylinux2014_aarch64.whl", hash = "sha256:1d208e670abfeb41b6143537a681299ef86e92d2a3dac299d3cd6830d5c7bded"},
-    {file = "Pillow-8.1.0-cp36-cp36m-win32.whl", hash = "sha256:dd9eef866c70d2cbbea1ae58134eaffda0d4bfea403025f4db6859724b18ab3d"},
-    {file = "Pillow-8.1.0-cp36-cp36m-win_amd64.whl", hash = "sha256:b09e10ec453de97f9a23a5aa5e30b334195e8d2ddd1ce76cc32e52ba63c8b31d"},
-    {file = "Pillow-8.1.0-cp37-cp37m-macosx_10_10_x86_64.whl", hash = "sha256:b02a0b9f332086657852b1f7cb380f6a42403a6d9c42a4c34a561aa4530d5234"},
-    {file = "Pillow-8.1.0-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:ca20739e303254287138234485579b28cb0d524401f83d5129b5ff9d606cb0a8"},
-    {file = "Pillow-8.1.0-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:604815c55fd92e735f9738f65dabf4edc3e79f88541c221d292faec1904a4b17"},
-    {file = "Pillow-8.1.0-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:cf6e33d92b1526190a1de904df21663c46a456758c0424e4f947ae9aa6088bf7"},
-    {file = "Pillow-8.1.0-cp37-cp37m-win32.whl", hash = "sha256:47c0d93ee9c8b181f353dbead6530b26980fe4f5485aa18be8f1fd3c3cbc685e"},
-    {file = "Pillow-8.1.0-cp37-cp37m-win_amd64.whl", hash = "sha256:96d4dc103d1a0fa6d47c6c55a47de5f5dafd5ef0114fa10c85a1fd8e0216284b"},
-    {file = "Pillow-8.1.0-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:7916cbc94f1c6b1301ac04510d0881b9e9feb20ae34094d3615a8a7c3db0dcc0"},
-    {file = "Pillow-8.1.0-cp38-cp38-manylinux1_i686.whl", hash = "sha256:3de6b2ee4f78c6b3d89d184ade5d8fa68af0848f9b6b6da2b9ab7943ec46971a"},
-    {file = "Pillow-8.1.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:cdbbe7dff4a677fb555a54f9bc0450f2a21a93c5ba2b44e09e54fcb72d2bd13d"},
-    {file = "Pillow-8.1.0-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:f50e7a98b0453f39000619d845be8b06e611e56ee6e8186f7f60c3b1e2f0feae"},
-    {file = "Pillow-8.1.0-cp38-cp38-win32.whl", hash = "sha256:cb192176b477d49b0a327b2a5a4979552b7a58cd42037034316b8018ac3ebb59"},
-    {file = "Pillow-8.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:6c5275bd82711cd3dcd0af8ce0bb99113ae8911fc2952805f1d012de7d600a4c"},
-    {file = "Pillow-8.1.0-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:165c88bc9d8dba670110c689e3cc5c71dbe4bfb984ffa7cbebf1fac9554071d6"},
-    {file = "Pillow-8.1.0-cp39-cp39-manylinux1_i686.whl", hash = "sha256:5e2fe3bb2363b862671eba632537cd3a823847db4d98be95690b7e382f3d6378"},
-    {file = "Pillow-8.1.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:7612520e5e1a371d77e1d1ca3a3ee6227eef00d0a9cddb4ef7ecb0b7396eddf7"},
-    {file = "Pillow-8.1.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:d673c4990acd016229a5c1c4ee8a9e6d8f481b27ade5fc3d95938697fa443ce0"},
-    {file = "Pillow-8.1.0-cp39-cp39-win32.whl", hash = "sha256:dc577f4cfdda354db3ae37a572428a90ffdbe4e51eda7849bf442fb803f09c9b"},
-    {file = "Pillow-8.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:22d070ca2e60c99929ef274cfced04294d2368193e935c5d6febfd8b601bf865"},
-    {file = "Pillow-8.1.0-pp36-pypy36_pp73-macosx_10_10_x86_64.whl", hash = "sha256:a3d3e086474ef12ef13d42e5f9b7bbf09d39cf6bd4940f982263d6954b13f6a9"},
-    {file = "Pillow-8.1.0-pp36-pypy36_pp73-manylinux2010_i686.whl", hash = "sha256:731ca5aabe9085160cf68b2dbef95fc1991015bc0a3a6ea46a371ab88f3d0913"},
-    {file = "Pillow-8.1.0-pp36-pypy36_pp73-manylinux2010_x86_64.whl", hash = "sha256:bba80df38cfc17f490ec651c73bb37cd896bc2400cfba27d078c2135223c1206"},
-    {file = "Pillow-8.1.0-pp37-pypy37_pp73-macosx_10_10_x86_64.whl", hash = "sha256:c3d911614b008e8a576b8e5303e3db29224b455d3d66d1b2848ba6ca83f9ece9"},
-    {file = "Pillow-8.1.0-pp37-pypy37_pp73-manylinux2010_i686.whl", hash = "sha256:39725acf2d2e9c17356e6835dccebe7a697db55f25a09207e38b835d5e1bc032"},
-    {file = "Pillow-8.1.0-pp37-pypy37_pp73-manylinux2010_x86_64.whl", hash = "sha256:81c3fa9a75d9f1afafdb916d5995633f319db09bd773cb56b8e39f1e98d90820"},
-    {file = "Pillow-8.1.0-pp37-pypy37_pp73-win32.whl", hash = "sha256:b6f00ad5ebe846cc91763b1d0c6d30a8042e02b2316e27b05de04fa6ec831ec5"},
-    {file = "Pillow-8.1.0.tar.gz", hash = "sha256:887668e792b7edbfb1d3c9d8b5d8c859269a0f0eba4dda562adb95500f60dbba"},
+    {file = "Pillow-8.2.0-cp36-cp36m-macosx_10_10_x86_64.whl", hash = "sha256:dc38f57d8f20f06dd7c3161c59ca2c86893632623f33a42d592f097b00f720a9"},
+    {file = "Pillow-8.2.0-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:a013cbe25d20c2e0c4e85a9daf438f85121a4d0344ddc76e33fd7e3965d9af4b"},
+    {file = "Pillow-8.2.0-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:8bb1e155a74e1bfbacd84555ea62fa21c58e0b4e7e6b20e4447b8d07990ac78b"},
+    {file = "Pillow-8.2.0-cp36-cp36m-manylinux2014_aarch64.whl", hash = "sha256:c5236606e8570542ed424849f7852a0ff0bce2c4c8d0ba05cc202a5a9c97dee9"},
+    {file = "Pillow-8.2.0-cp36-cp36m-win32.whl", hash = "sha256:12e5e7471f9b637762453da74e390e56cc43e486a88289995c1f4c1dc0bfe727"},
+    {file = "Pillow-8.2.0-cp36-cp36m-win_amd64.whl", hash = "sha256:5afe6b237a0b81bd54b53f835a153770802f164c5570bab5e005aad693dab87f"},
+    {file = "Pillow-8.2.0-cp37-cp37m-macosx_10_10_x86_64.whl", hash = "sha256:cb7a09e173903541fa888ba010c345893cd9fc1b5891aaf060f6ca77b6a3722d"},
+    {file = "Pillow-8.2.0-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:0d19d70ee7c2ba97631bae1e7d4725cdb2ecf238178096e8c82ee481e189168a"},
+    {file = "Pillow-8.2.0-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:083781abd261bdabf090ad07bb69f8f5599943ddb539d64497ed021b2a67e5a9"},
+    {file = "Pillow-8.2.0-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:c6b39294464b03457f9064e98c124e09008b35a62e3189d3513e5148611c9388"},
+    {file = "Pillow-8.2.0-cp37-cp37m-win32.whl", hash = "sha256:01425106e4e8cee195a411f729cff2a7d61813b0b11737c12bd5991f5f14bcd5"},
+    {file = "Pillow-8.2.0-cp37-cp37m-win_amd64.whl", hash = "sha256:3b570f84a6161cf8865c4e08adf629441f56e32f180f7aa4ccbd2e0a5a02cba2"},
+    {file = "Pillow-8.2.0-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:031a6c88c77d08aab84fecc05c3cde8414cd6f8406f4d2b16fed1e97634cc8a4"},
+    {file = "Pillow-8.2.0-cp38-cp38-manylinux1_i686.whl", hash = "sha256:66cc56579fd91f517290ab02c51e3a80f581aba45fd924fcdee01fa06e635812"},
+    {file = "Pillow-8.2.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:6c32cc3145928c4305d142ebec682419a6c0a8ce9e33db900027ddca1ec39178"},
+    {file = "Pillow-8.2.0-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:624b977355cde8b065f6d51b98497d6cd5fbdd4f36405f7a8790e3376125e2bb"},
+    {file = "Pillow-8.2.0-cp38-cp38-win32.whl", hash = "sha256:5cbf3e3b1014dddc45496e8cf38b9f099c95a326275885199f427825c6522232"},
+    {file = "Pillow-8.2.0-cp38-cp38-win_amd64.whl", hash = "sha256:463822e2f0d81459e113372a168f2ff59723e78528f91f0bd25680ac185cf797"},
+    {file = "Pillow-8.2.0-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:95d5ef984eff897850f3a83883363da64aae1000e79cb3c321915468e8c6add5"},
+    {file = "Pillow-8.2.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:b91c36492a4bbb1ee855b7d16fe51379e5f96b85692dc8210831fbb24c43e484"},
+    {file = "Pillow-8.2.0-cp39-cp39-manylinux1_i686.whl", hash = "sha256:d68cb92c408261f806b15923834203f024110a2e2872ecb0bd2a110f89d3c602"},
+    {file = "Pillow-8.2.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:f217c3954ce5fd88303fc0c317af55d5e0204106d86dea17eb8205700d47dec2"},
+    {file = "Pillow-8.2.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:5b70110acb39f3aff6b74cf09bb4169b167e2660dabc304c1e25b6555fa781ef"},
+    {file = "Pillow-8.2.0-cp39-cp39-win32.whl", hash = "sha256:a7d5e9fad90eff8f6f6106d3b98b553a88b6f976e51fce287192a5d2d5363713"},
+    {file = "Pillow-8.2.0-cp39-cp39-win_amd64.whl", hash = "sha256:238c197fc275b475e87c1453b05b467d2d02c2915fdfdd4af126145ff2e4610c"},
+    {file = "Pillow-8.2.0-pp36-pypy36_pp73-macosx_10_10_x86_64.whl", hash = "sha256:0e04d61f0064b545b989126197930807c86bcbd4534d39168f4aa5fda39bb8f9"},
+    {file = "Pillow-8.2.0-pp36-pypy36_pp73-manylinux2010_i686.whl", hash = "sha256:63728564c1410d99e6d1ae8e3b810fe012bc440952168af0a2877e8ff5ab96b9"},
+    {file = "Pillow-8.2.0-pp36-pypy36_pp73-manylinux2010_x86_64.whl", hash = "sha256:c03c07ed32c5324939b19e36ae5f75c660c81461e312a41aea30acdd46f93a7c"},
+    {file = "Pillow-8.2.0-pp37-pypy37_pp73-macosx_10_10_x86_64.whl", hash = "sha256:4d98abdd6b1e3bf1a1cbb14c3895226816e666749ac040c4e2554231068c639b"},
+    {file = "Pillow-8.2.0-pp37-pypy37_pp73-manylinux2010_i686.whl", hash = "sha256:aac00e4bc94d1b7813fe882c28990c1bc2f9d0e1aa765a5f2b516e8a6a16a9e4"},
+    {file = "Pillow-8.2.0-pp37-pypy37_pp73-manylinux2010_x86_64.whl", hash = "sha256:22fd0f42ad15dfdde6c581347eaa4adb9a6fc4b865f90b23378aa7914895e120"},
+    {file = "Pillow-8.2.0-pp37-pypy37_pp73-win32.whl", hash = "sha256:e98eca29a05913e82177b3ba3d198b1728e164869c613d76d0de4bde6768a50e"},
+    {file = "Pillow-8.2.0.tar.gz", hash = "sha256:a787ab10d7bb5494e5f76536ac460741788f1fbce851068d73a87ca7c35fc3e1"},
 ]
 prometheus-client = [
-    {file = "prometheus_client-0.9.0-py2.py3-none-any.whl", hash = "sha256:b08c34c328e1bf5961f0b4352668e6c8f145b4a087e09b7296ef62cbe4693d35"},
-    {file = "prometheus_client-0.9.0.tar.gz", hash = "sha256:9da7b32f02439d8c04f7777021c304ed51d9ec180604700c1ba72a4d44dceb03"},
+    {file = "prometheus_client-0.10.1-py2.py3-none-any.whl", hash = "sha256:030e4f9df5f53db2292eec37c6255957eb76168c6f974e4176c711cf91ed34aa"},
+    {file = "prometheus_client-0.10.1.tar.gz", hash = "sha256:b6c5a9643e3545bcbfd9451766cbaa5d9c67e7303c7bc32c750b6fa70ecb107d"},
 ]
 prompt-toolkit = [
-    {file = "prompt_toolkit-3.0.16-py3-none-any.whl", hash = "sha256:62c811e46bd09130fb11ab759012a4ae385ce4fb2073442d1898867a824183bd"},
-    {file = "prompt_toolkit-3.0.16.tar.gz", hash = "sha256:0fa02fa80363844a4ab4b8d6891f62dd0645ba672723130423ca4037b80c1974"},
+    {file = "prompt_toolkit-3.0.18-py3-none-any.whl", hash = "sha256:bf00f22079f5fadc949f42ae8ff7f05702826a97059ffcc6281036ad40ac6f04"},
+    {file = "prompt_toolkit-3.0.18.tar.gz", hash = "sha256:e1b4f11b9336a28fa11810bc623c357420f69dfdb6d2dac41ca2c21a55c033bc"},
 ]
 proto-plus = [
-    {file = "proto-plus-1.13.0.tar.gz", hash = "sha256:61b57c5257ca583af2ea1ad40e2b8f251988806eea9f01d119088976b995b2c4"},
+    {file = "proto-plus-1.18.1.tar.gz", hash = "sha256:cfc45474c7eda0fe3c4b9eca2542124f2a0ff5543242bec61e8d08bce0f5bd48"},
+    {file = "proto_plus-1.18.1-py3-none-any.whl", hash = "sha256:600e2793ec1a0bf2b9e5ba18cd9eccbc1bc690a03c73b571bbe59789fbaaeecc"},
 ]
 protobuf = [
-    {file = "protobuf-3.15.0-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:44d824adb48fe8baf81e628c2edaf9911912cd592a83621d2b877ccfde631d61"},
-    {file = "protobuf-3.15.0-cp27-cp27mu-manylinux1_x86_64.whl", hash = "sha256:b04449133e31b65924650d758efbc2397c2d0e5eb3c8cae7428ffc4fa9c3403d"},
-    {file = "protobuf-3.15.0-cp35-cp35m-macosx_10_9_intel.whl", hash = "sha256:ef69a10d45529a08367e70e736b3ce8e2af51360f23650ef1d4381ff9038467a"},
-    {file = "protobuf-3.15.0-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:50f28efa66232a2fbbdd638dd61d9399ff66bcfde40ff305263b229692928081"},
-    {file = "protobuf-3.15.0-cp35-cp35m-win32.whl", hash = "sha256:25f0ee57684f7bc3f0511b73cf55c016a891d09079c357794759663fe3da9cd3"},
-    {file = "protobuf-3.15.0-cp35-cp35m-win_amd64.whl", hash = "sha256:94b34486986d7683e83f9d02a0112533263fc20fae54fff3f4fd69451e682ec7"},
-    {file = "protobuf-3.15.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:11f192d491613f692b3ddc18f06c925785b3019c8e35d32c811421ca9ff7d50e"},
-    {file = "protobuf-3.15.0-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:867635c1d541ce336a1a4df3379d1116f02eba6dc326d080c8ef02f34036c415"},
-    {file = "protobuf-3.15.0-cp36-cp36m-win32.whl", hash = "sha256:f6d10b1f86cebb8008a256f474948fc6204391e02a9c12935eebf036bbb07b65"},
-    {file = "protobuf-3.15.0-cp36-cp36m-win_amd64.whl", hash = "sha256:5c2ee13f5ea237a17bd81f52f972b7d334c0a43330d2a2a7b25b07f16eb146d8"},
-    {file = "protobuf-3.15.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:2ccc0169b5145b3af676b6997be6fe62961edfc12bb524a7b9c46fb5d208a3d4"},
-    {file = "protobuf-3.15.0-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:51e080fb1de5db54b0a6b1519ba8dda55e57404b0a4948e58f1342a3e15d89ec"},
-    {file = "protobuf-3.15.0-cp37-cp37m-win32.whl", hash = "sha256:d892e487bd544463ce1e656434591593f710169335ac3f02ce30ee866c2f2464"},
-    {file = "protobuf-3.15.0-cp37-cp37m-win_amd64.whl", hash = "sha256:40f031f79b0254aa62082ca87776c0959d85adf99f09cdef9d0b320bb772a609"},
-    {file = "protobuf-3.15.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:ae4bcd5a0ce3f77d0523c3e5ed0d04ed2af454f7bf7cef08cb7a8d0915ac80a9"},
-    {file = "protobuf-3.15.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:830a9c71df347b3fb3cd24ec985c4ed64f6e75983f543a1d8a3c96302dae915c"},
-    {file = "protobuf-3.15.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:fecf1b00ccc87bb8debca8b56458cc57c486d2d7afe22c7526728f79ffe232f4"},
-    {file = "protobuf-3.15.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:0e00b4e4a4800b389ae7f0058e1fc9d012444fdde926569d8cce55c84a01ef74"},
-    {file = "protobuf-3.15.0-py2.py3-none-any.whl", hash = "sha256:013a9ec4dccad9a6ed3aa1ad9e86a25a4e0d6d3bbe059b6f6502db20473c3e69"},
-    {file = "protobuf-3.15.0.tar.gz", hash = "sha256:e9f13fadb15b80e4a83ef5d9fa44e19243b1e2d96e84ee2228ca305180ca059e"},
+    {file = "protobuf-3.15.8-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:fad4f971ec38d8df7f4b632c819bf9bbf4f57cfd7312cf526c69ce17ef32436a"},
+    {file = "protobuf-3.15.8-cp27-cp27mu-manylinux1_x86_64.whl", hash = "sha256:f17b352d7ce33c81773cf81d536ca70849de6f73c96413f17309f4b43ae7040b"},
+    {file = "protobuf-3.15.8-cp35-cp35m-macosx_10_9_intel.whl", hash = "sha256:4a054b0b5900b7ea7014099e783fb8c4618e4209fffcd6050857517b3f156e18"},
+    {file = "protobuf-3.15.8-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:efa4c4d4fc9ba734e5e85eaced70e1b63fb3c8d08482d839eb838566346f1737"},
+    {file = "protobuf-3.15.8-cp35-cp35m-win32.whl", hash = "sha256:07eec4e2ccbc74e95bb9b3afe7da67957947ee95bdac2b2e91b038b832dd71f0"},
+    {file = "protobuf-3.15.8-cp35-cp35m-win_amd64.whl", hash = "sha256:f9cadaaa4065d5dd4d15245c3b68b967b3652a3108e77f292b58b8c35114b56c"},
+    {file = "protobuf-3.15.8-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:2dc0e8a9e4962207bdc46a365b63a3f1aca6f9681a5082a326c5837ef8f4b745"},
+    {file = "protobuf-3.15.8-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:f80afc0a0ba13339bbab25ca0409e9e2836b12bb012364c06e97c2df250c3343"},
+    {file = "protobuf-3.15.8-cp36-cp36m-win32.whl", hash = "sha256:c5566f956a26cda3abdfacc0ca2e21db6c9f3d18f47d8d4751f2209d6c1a5297"},
+    {file = "protobuf-3.15.8-cp36-cp36m-win_amd64.whl", hash = "sha256:dab75b56a12b1ceb3e40808b5bd9dfdaef3a1330251956e6744e5b6ed8f8830b"},
+    {file = "protobuf-3.15.8-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:3053f13207e7f13dc7be5e9071b59b02020172f09f648e85dc77e3fcb50d1044"},
+    {file = "protobuf-3.15.8-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:1f0b5d156c3df08cc54bc2c8b8b875648ea4cd7ebb2a9a130669f7547ec3488c"},
+    {file = "protobuf-3.15.8-cp37-cp37m-win32.whl", hash = "sha256:90270fe5732c1f1ff664a3bd7123a16456d69b4e66a09a139a00443a32f210b8"},
+    {file = "protobuf-3.15.8-cp37-cp37m-win_amd64.whl", hash = "sha256:f42c2f5fb67da5905bfc03733a311f72fa309252bcd77c32d1462a1ad519521e"},
+    {file = "protobuf-3.15.8-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:f6077db37bfa16494dca58a4a02bfdacd87662247ad6bc1f7f8d13ff3f0013e1"},
+    {file = "protobuf-3.15.8-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:510e66491f1a5ac5953c908aa8300ec47f793130097e4557482803b187a8ee05"},
+    {file = "protobuf-3.15.8-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5ff9fa0e67fcab442af9bc8d4ec3f82cb2ff3be0af62dba047ed4187f0088b7d"},
+    {file = "protobuf-3.15.8-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:1c0e9e56202b9dccbc094353285a252e2b7940b74fdf75f1b4e1b137833fabd7"},
+    {file = "protobuf-3.15.8-py2.py3-none-any.whl", hash = "sha256:a0a08c6b2e6d6c74a6eb5bf6184968eefb1569279e78714e239d33126e753403"},
+    {file = "protobuf-3.15.8.tar.gz", hash = "sha256:0277f62b1e42210cafe79a71628c1d553348da81cbd553402a7f7549c50b11d0"},
 ]
 ptyprocess = [
     {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"},
@@ -2055,12 +2549,12 @@ pycparser = [
     {file = "pycparser-2.20.tar.gz", hash = "sha256:2d475327684562c3a96cc71adf7dc8c4f0565175cf86b6d7a404ff4c771f15f0"},
 ]
 pygments = [
-    {file = "Pygments-2.8.0-py3-none-any.whl", hash = "sha256:b21b072d0ccdf29297a82a2363359d99623597b8a265b8081760e4d0f7153c88"},
-    {file = "Pygments-2.8.0.tar.gz", hash = "sha256:37a13ba168a02ac54cc5891a42b1caec333e59b66addb7fa633ea8a6d73445c0"},
+    {file = "Pygments-2.9.0-py3-none-any.whl", hash = "sha256:d66e804411278594d764fc69ec36ec13d9ae9147193a1740cd34d272ca383b8e"},
+    {file = "Pygments-2.9.0.tar.gz", hash = "sha256:a18f47b506a429f6f4b9df81bb02beab9ca21d0a5fee38ed15aef65f0545519f"},
 ]
 pylint = [
-    {file = "pylint-2.6.2-py3-none-any.whl", hash = "sha256:e71c2e9614a4f06e36498f310027942b0f4f2fde20aebb01655b31edc63b9eaf"},
-    {file = "pylint-2.6.2.tar.gz", hash = "sha256:718b74786ea7ed07aa0c58bf572154d4679f960d26e9641cc1de204a30b87fc9"},
+    {file = "pylint-2.8.2-py3-none-any.whl", hash = "sha256:f7e2072654a6b6afdf5e2fb38147d3e2d2d43c89f648637baab63e026481279b"},
+    {file = "pylint-2.8.2.tar.gz", hash = "sha256:586d8fa9b1891f4b725f587ef267abe2a1bad89d6b184520c7f07a253dd6e217"},
 ]
 pyparsing = [
     {file = "pyparsing-2.4.7-py2.py3-none-any.whl", hash = "sha256:ef9d7589ef3c200abe66653d3f1ab1033c3c419ae9b9bdb1240a85b024efc88b"},
@@ -2094,16 +2588,42 @@ pywin32 = [
     {file = "pywin32-300-cp39-cp39-win_amd64.whl", hash = "sha256:b1609ce9bd5c411b81f941b246d683d6508992093203d4eb7f278f4ed1085c3f"},
 ]
 pywinpty = [
-    {file = "pywinpty-0.5.7-cp27-cp27m-win32.whl", hash = "sha256:b358cb552c0f6baf790de375fab96524a0498c9df83489b8c23f7f08795e966b"},
-    {file = "pywinpty-0.5.7-cp27-cp27m-win_amd64.whl", hash = "sha256:1e525a4de05e72016a7af27836d512db67d06a015aeaf2fa0180f8e6a039b3c2"},
-    {file = "pywinpty-0.5.7-cp35-cp35m-win32.whl", hash = "sha256:2740eeeb59297593a0d3f762269b01d0285c1b829d6827445fcd348fb47f7e70"},
-    {file = "pywinpty-0.5.7-cp35-cp35m-win_amd64.whl", hash = "sha256:33df97f79843b2b8b8bc5c7aaf54adec08cc1bae94ee99dfb1a93c7a67704d95"},
-    {file = "pywinpty-0.5.7-cp36-cp36m-win32.whl", hash = "sha256:e854211df55d107f0edfda8a80b39dfc87015bef52a8fe6594eb379240d81df2"},
-    {file = "pywinpty-0.5.7-cp36-cp36m-win_amd64.whl", hash = "sha256:dbd838de92de1d4ebf0dce9d4d5e4fc38d0b7b1de837947a18b57a882f219139"},
-    {file = "pywinpty-0.5.7-cp37-cp37m-win32.whl", hash = "sha256:5fb2c6c6819491b216f78acc2c521b9df21e0f53b9a399d58a5c151a3c4e2a2d"},
-    {file = "pywinpty-0.5.7-cp37-cp37m-win_amd64.whl", hash = "sha256:dd22c8efacf600730abe4a46c1388355ce0d4ab75dc79b15d23a7bd87bf05b48"},
-    {file = "pywinpty-0.5.7-cp38-cp38-win_amd64.whl", hash = "sha256:8fc5019ff3efb4f13708bd3b5ad327589c1a554cb516d792527361525a7cb78c"},
-    {file = "pywinpty-0.5.7.tar.gz", hash = "sha256:2d7e9c881638a72ffdca3f5417dd1563b60f603e1b43e5895674c2a1b01f95a0"},
+    {file = "pywinpty-1.0.1-cp36-none-win_amd64.whl", hash = "sha256:739094e8d0d685a64c92ff91424cf43da9296110349036161ab294268e444d05"},
+    {file = "pywinpty-1.0.1-cp37-none-win_amd64.whl", hash = "sha256:5447b8c158e5807237f80ea4e14262f0c05ff7c4d39f1c4b697ea6e8920786b2"},
+    {file = "pywinpty-1.0.1-cp38-none-win_amd64.whl", hash = "sha256:aa3e4178503ff6be3e8a1d9ae4ce77de9058308562dbf26b505a51583be9f02d"},
+    {file = "pywinpty-1.0.1-cp39-none-win_amd64.whl", hash = "sha256:58e23d59891e624d478ec7bcc42ced0ecfbf0a4e7cb0217de714f785f71c2461"},
+    {file = "pywinpty-1.0.1.tar.gz", hash = "sha256:b3512d4a964a0abae1b77b6908917c62ea0ad7d8178696e4e973877fe9e820f9"},
+]
+pyyaml = [
+    {file = "PyYAML-5.4.1-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:3b2b1824fe7112845700f815ff6a489360226a5609b96ec2190a45e62a9fc922"},
+    {file = "PyYAML-5.4.1-cp27-cp27m-win32.whl", hash = "sha256:129def1b7c1bf22faffd67b8f3724645203b79d8f4cc81f674654d9902cb4393"},
+    {file = "PyYAML-5.4.1-cp27-cp27m-win_amd64.whl", hash = "sha256:4465124ef1b18d9ace298060f4eccc64b0850899ac4ac53294547536533800c8"},
+    {file = "PyYAML-5.4.1-cp27-cp27mu-manylinux1_x86_64.whl", hash = "sha256:bb4191dfc9306777bc594117aee052446b3fa88737cd13b7188d0e7aa8162185"},
+    {file = "PyYAML-5.4.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:6c78645d400265a062508ae399b60b8c167bf003db364ecb26dcab2bda048253"},
+    {file = "PyYAML-5.4.1-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:4e0583d24c881e14342eaf4ec5fbc97f934b999a6828693a99157fde912540cc"},
+    {file = "PyYAML-5.4.1-cp36-cp36m-manylinux2014_aarch64.whl", hash = "sha256:72a01f726a9c7851ca9bfad6fd09ca4e090a023c00945ea05ba1638c09dc3347"},
+    {file = "PyYAML-5.4.1-cp36-cp36m-manylinux2014_s390x.whl", hash = "sha256:895f61ef02e8fed38159bb70f7e100e00f471eae2bc838cd0f4ebb21e28f8541"},
+    {file = "PyYAML-5.4.1-cp36-cp36m-win32.whl", hash = "sha256:3bd0e463264cf257d1ffd2e40223b197271046d09dadf73a0fe82b9c1fc385a5"},
+    {file = "PyYAML-5.4.1-cp36-cp36m-win_amd64.whl", hash = "sha256:e4fac90784481d221a8e4b1162afa7c47ed953be40d31ab4629ae917510051df"},
+    {file = "PyYAML-5.4.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:5accb17103e43963b80e6f837831f38d314a0495500067cb25afab2e8d7a4018"},
+    {file = "PyYAML-5.4.1-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:e1d4970ea66be07ae37a3c2e48b5ec63f7ba6804bdddfdbd3cfd954d25a82e63"},
+    {file = "PyYAML-5.4.1-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:cb333c16912324fd5f769fff6bc5de372e9e7a202247b48870bc251ed40239aa"},
+    {file = "PyYAML-5.4.1-cp37-cp37m-manylinux2014_s390x.whl", hash = "sha256:fe69978f3f768926cfa37b867e3843918e012cf83f680806599ddce33c2c68b0"},
+    {file = "PyYAML-5.4.1-cp37-cp37m-win32.whl", hash = "sha256:dd5de0646207f053eb0d6c74ae45ba98c3395a571a2891858e87df7c9b9bd51b"},
+    {file = "PyYAML-5.4.1-cp37-cp37m-win_amd64.whl", hash = "sha256:08682f6b72c722394747bddaf0aa62277e02557c0fd1c42cb853016a38f8dedf"},
+    {file = "PyYAML-5.4.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:d2d9808ea7b4af864f35ea216be506ecec180628aced0704e34aca0b040ffe46"},
+    {file = "PyYAML-5.4.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:8c1be557ee92a20f184922c7b6424e8ab6691788e6d86137c5d93c1a6ec1b8fb"},
+    {file = "PyYAML-5.4.1-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:fd7f6999a8070df521b6384004ef42833b9bd62cfee11a09bda1079b4b704247"},
+    {file = "PyYAML-5.4.1-cp38-cp38-manylinux2014_s390x.whl", hash = "sha256:bfb51918d4ff3d77c1c856a9699f8492c612cde32fd3bcd344af9be34999bfdc"},
+    {file = "PyYAML-5.4.1-cp38-cp38-win32.whl", hash = "sha256:fa5ae20527d8e831e8230cbffd9f8fe952815b2b7dae6ffec25318803a7528fc"},
+    {file = "PyYAML-5.4.1-cp38-cp38-win_amd64.whl", hash = "sha256:0f5f5786c0e09baddcd8b4b45f20a7b5d61a7e7e99846e3c799b05c7c53fa696"},
+    {file = "PyYAML-5.4.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:294db365efa064d00b8d1ef65d8ea2c3426ac366c0c4368d930bf1c5fb497f77"},
+    {file = "PyYAML-5.4.1-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:74c1485f7707cf707a7aef42ef6322b8f97921bd89be2ab6317fd782c2d53183"},
+    {file = "PyYAML-5.4.1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:d483ad4e639292c90170eb6f7783ad19490e7a8defb3e46f97dfe4bacae89122"},
+    {file = "PyYAML-5.4.1-cp39-cp39-manylinux2014_s390x.whl", hash = "sha256:fdc842473cd33f45ff6bce46aea678a54e3d21f1b61a7750ce3c498eedfe25d6"},
+    {file = "PyYAML-5.4.1-cp39-cp39-win32.whl", hash = "sha256:49d4cdd9065b9b6e206d0595fee27a96b5dd22618e7520c33204a4a3239d5b10"},
+    {file = "PyYAML-5.4.1-cp39-cp39-win_amd64.whl", hash = "sha256:c20cfa2d49991c8b4147af39859b167664f2ad4561704ee74c1de03318e898db"},
+    {file = "PyYAML-5.4.1.tar.gz", hash = "sha256:607774cbba28732bfa802b54baa7484215f530991055bb562efbed5b2f20a45e"},
 ]
 pyzmq = [
     {file = "pyzmq-22.0.3-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:c0cde362075ee8f3d2b0353b283e203c2200243b5a15d5c5c03b78112a17e7d4"},
@@ -2124,6 +2644,7 @@ pyzmq = [
     {file = "pyzmq-22.0.3-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:b62ea18c0458a65ccd5be90f276f7a5a3f26a6dea0066d948ce2fa896051420f"},
     {file = "pyzmq-22.0.3-cp38-cp38-win32.whl", hash = "sha256:81e7df0da456206201e226491aa1fc449da85328bf33bbeec2c03bb3a9f18324"},
     {file = "pyzmq-22.0.3-cp38-cp38-win_amd64.whl", hash = "sha256:f52070871a0fd90a99130babf21f8af192304ec1e995bec2a9533efc21ea4452"},
+    {file = "pyzmq-22.0.3-cp39-cp39-macosx_10_15_universal2.whl", hash = "sha256:c5e29fe4678f97ce429f076a2a049a3d0b2660ada8f2c621e5dc9939426056dd"},
     {file = "pyzmq-22.0.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d18ddc6741b51f3985978f2fda57ddcdae359662d7a6b395bc8ff2292fca14bd"},
     {file = "pyzmq-22.0.3-cp39-cp39-manylinux2010_i686.whl", hash = "sha256:4231943514812dfb74f44eadcf85e8dd8cf302b4d0bce450ce1357cac88dbfdc"},
     {file = "pyzmq-22.0.3-cp39-cp39-manylinux2010_x86_64.whl", hash = "sha256:23a74de4b43c05c3044aeba0d1f3970def8f916151a712a3ac1e5cd9c0bc2902"},
@@ -2142,61 +2663,74 @@ requests = [
     {file = "requests-2.25.1-py2.py3-none-any.whl", hash = "sha256:c210084e36a42ae6b9219e00e48287def368a26d03a048ddad7bfee44f75871e"},
     {file = "requests-2.25.1.tar.gz", hash = "sha256:27973dd4a904a4f13b263a19c866c13b92a39ed1c964655f025f3f8d3d75b804"},
 ]
+requests-oauthlib = [
+    {file = "requests-oauthlib-1.3.0.tar.gz", hash = "sha256:b4261601a71fd721a8bd6d7aa1cc1d6a8a93b4a9f5e96626f8e4d91e8beeaa6a"},
+    {file = "requests_oauthlib-1.3.0-py2.py3-none-any.whl", hash = "sha256:7f71572defaecd16372f9006f33c2ec8c077c3cfa6f5911a9a90202beb513f3d"},
+    {file = "requests_oauthlib-1.3.0-py3.7.egg", hash = "sha256:fa6c47b933f01060936d87ae9327fead68768b69c6c9ea2109c48be30f2d4dbc"},
+]
 rsa = [
-    {file = "rsa-4.7.1-py3-none-any.whl", hash = "sha256:74ba16e7ef58920b80b5c54c1c1066d391a2c1e812c466773f74c634eb12253b"},
-    {file = "rsa-4.7.1.tar.gz", hash = "sha256:9d74d1ff850745c9802cd6b53382bfeec7f6dbe4e26ee2759241ed1e7b0ecf5d"},
+    {file = "rsa-4.7.2-py3-none-any.whl", hash = "sha256:78f9a9bf4e7be0c5ded4583326e7461e3a3c5aae24073648b4bdfa797d78c9d2"},
+    {file = "rsa-4.7.2.tar.gz", hash = "sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9"},
 ]
 scikit-learn = [
-    {file = "scikit-learn-0.24.1.tar.gz", hash = "sha256:a0334a1802e64d656022c3bfab56a73fbd6bf4b1298343f3688af2151810bbdf"},
-    {file = "scikit_learn-0.24.1-cp36-cp36m-macosx_10_13_x86_64.whl", hash = "sha256:9bed8a1ef133c8e2f13966a542cb8125eac7f4b67dcd234197c827ba9c7dd3e0"},
-    {file = "scikit_learn-0.24.1-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:a36e159a0521e13bbe15ca8c8d038b3a1dd4c7dad18d276d76992e03b92cf643"},
-    {file = "scikit_learn-0.24.1-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:c658432d8a20e95398f6bb95ff9731ce9dfa343fdf21eea7ec6a7edfacd4b4d9"},
-    {file = "scikit_learn-0.24.1-cp36-cp36m-manylinux2010_i686.whl", hash = "sha256:9dfa564ef27e8e674aa1cc74378416d580ac4ede1136c13dd555a87996e13422"},
-    {file = "scikit_learn-0.24.1-cp36-cp36m-manylinux2010_x86_64.whl", hash = "sha256:9c6097b6a9b2bafc5e0f31f659e6ab5e131383209c30c9e978c5b8abdac5ed2a"},
-    {file = "scikit_learn-0.24.1-cp36-cp36m-win32.whl", hash = "sha256:7b04691eb2f41d2c68dbda8d1bd3cb4ef421bdc43aaa56aeb6c762224552dfb6"},
-    {file = "scikit_learn-0.24.1-cp36-cp36m-win_amd64.whl", hash = "sha256:1adf483e91007a87171d7ce58c34b058eb5dab01b5fee6052f15841778a8ecd8"},
-    {file = "scikit_learn-0.24.1-cp37-cp37m-macosx_10_13_x86_64.whl", hash = "sha256:ddb52d088889f5596bc4d1de981f2eca106b58243b6679e4782f3ba5096fd645"},
-    {file = "scikit_learn-0.24.1-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:a29460499c1e62b7a830bb57ca42e615375a6ab1bcad053cd25b493588348ea8"},
-    {file = "scikit_learn-0.24.1-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:0567a2d29ad08af98653300c623bd8477b448fe66ced7198bef4ed195925f082"},
-    {file = "scikit_learn-0.24.1-cp37-cp37m-manylinux2010_i686.whl", hash = "sha256:99349d77f54e11f962d608d94dfda08f0c9e5720d97132233ebdf35be2858b2d"},
-    {file = "scikit_learn-0.24.1-cp37-cp37m-manylinux2010_x86_64.whl", hash = "sha256:83b21ff053b1ff1c018a2d24db6dd3ea339b1acfbaa4d9c881731f43748d8b3b"},
-    {file = "scikit_learn-0.24.1-cp37-cp37m-win32.whl", hash = "sha256:c3deb3b19dd9806acf00cf0d400e84562c227723013c33abefbbc3cf906596e9"},
-    {file = "scikit_learn-0.24.1-cp37-cp37m-win_amd64.whl", hash = "sha256:d54dbaadeb1425b7d6a66bf44bee2bb2b899fe3e8850b8e94cfb9c904dcb46d0"},
-    {file = "scikit_learn-0.24.1-cp38-cp38-macosx_10_13_x86_64.whl", hash = "sha256:3c4f07f47c04e81b134424d53c3f5e16dfd7f494e44fd7584ba9ce9de2c5e6c1"},
-    {file = "scikit_learn-0.24.1-cp38-cp38-manylinux1_i686.whl", hash = "sha256:c13ebac42236b1c46397162471ea1c46af68413000e28b9309f8c05722c65a09"},
-    {file = "scikit_learn-0.24.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:4ddd2b6f7449a5d539ff754fa92d75da22de261fd8fdcfb3596799fadf255101"},
-    {file = "scikit_learn-0.24.1-cp38-cp38-manylinux2010_i686.whl", hash = "sha256:826b92bf45b8ad80444814e5f4ac032156dd481e48d7da33d611f8fe96d5f08b"},
-    {file = "scikit_learn-0.24.1-cp38-cp38-manylinux2010_x86_64.whl", hash = "sha256:259ec35201e82e2db1ae2496f229e63f46d7f1695ae68eef9350b00dc74ba52f"},
-    {file = "scikit_learn-0.24.1-cp38-cp38-win32.whl", hash = "sha256:8772b99d683be8f67fcc04789032f1b949022a0e6880ee7b75a7ec97dbbb5d0b"},
-    {file = "scikit_learn-0.24.1-cp38-cp38-win_amd64.whl", hash = "sha256:ed9d65594948678827f4ff0e7ae23344e2f2b4cabbca057ccaed3118fdc392ca"},
-    {file = "scikit_learn-0.24.1-cp39-cp39-macosx_10_13_x86_64.whl", hash = "sha256:8aa1b3ac46b80eaa552b637eeadbbce3be5931e4b5002b964698e33a1b589e1e"},
-    {file = "scikit_learn-0.24.1-cp39-cp39-manylinux1_i686.whl", hash = "sha256:c7f4eb77504ac586d8ac1bde1b0c04b504487210f95297235311a0ab7edd7e38"},
-    {file = "scikit_learn-0.24.1-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:087dfede39efb06ab30618f9ab55a0397f29c38d63cd0ab88d12b500b7d65fd7"},
-    {file = "scikit_learn-0.24.1-cp39-cp39-manylinux2010_i686.whl", hash = "sha256:895dbf2030aa7337649e36a83a007df3c9811396b4e2fa672a851160f36ce90c"},
-    {file = "scikit_learn-0.24.1-cp39-cp39-manylinux2010_x86_64.whl", hash = "sha256:9a24d1ccec2a34d4cd3f2a1f86409f3f5954cc23d4d2270ba0d03cf018aa4780"},
-    {file = "scikit_learn-0.24.1-cp39-cp39-win32.whl", hash = "sha256:fab31f48282ebf54dd69f6663cd2d9800096bad1bb67bbc9c9ac84eb77b41972"},
-    {file = "scikit_learn-0.24.1-cp39-cp39-win_amd64.whl", hash = "sha256:4562dcf4793e61c5d0f89836d07bc37521c3a1889da8f651e2c326463c4bd697"},
+    {file = "scikit-learn-0.24.2.tar.gz", hash = "sha256:d14701a12417930392cd3898e9646cf5670c190b933625ebe7511b1f7d7b8736"},
+    {file = "scikit_learn-0.24.2-cp36-cp36m-macosx_10_13_x86_64.whl", hash = "sha256:d5bf9c863ba4717b3917b5227463ee06860fc43931dc9026747de416c0a10fee"},
+    {file = "scikit_learn-0.24.2-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:5beaeb091071625e83f5905192d8aecde65ba2f26f8b6719845bbf586f7a04a1"},
+    {file = "scikit_learn-0.24.2-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:06ffdcaaf81e2a3b1b50c3ac6842cfb13df2d8b737d61f64643ed61da7389cde"},
+    {file = "scikit_learn-0.24.2-cp36-cp36m-manylinux2010_i686.whl", hash = "sha256:fec42690a2eb646b384eafb021c425fab48991587edb412d4db77acc358b27ce"},
+    {file = "scikit_learn-0.24.2-cp36-cp36m-manylinux2010_x86_64.whl", hash = "sha256:5ff3e4e4cf7592d36541edec434e09fb8ab9ba6b47608c4ffe30c9038d301897"},
+    {file = "scikit_learn-0.24.2-cp36-cp36m-manylinux2014_aarch64.whl", hash = "sha256:3cbd734e1aefc7c5080e6b6973fe062f97c26a1cdf1a991037ca196ce1c8f427"},
+    {file = "scikit_learn-0.24.2-cp36-cp36m-win32.whl", hash = "sha256:f74429a07fedb36a03c159332b914e6de757176064f9fed94b5f79ebac07d913"},
+    {file = "scikit_learn-0.24.2-cp36-cp36m-win_amd64.whl", hash = "sha256:dd968a174aa82f3341a615a033fa6a8169e9320cbb46130686562db132d7f1f0"},
+    {file = "scikit_learn-0.24.2-cp37-cp37m-macosx_10_13_x86_64.whl", hash = "sha256:49ec0b1361da328da9bb7f1a162836028e72556356adeb53342f8fae6b450d47"},
+    {file = "scikit_learn-0.24.2-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:f18c3ed484eeeaa43a0d45dc2efb4d00fc6542ccdcfa2c45d7b635096a2ae534"},
+    {file = "scikit_learn-0.24.2-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:cdf24c1b9bbeb4936456b42ac5bd32c60bb194a344951acb6bfb0cddee5439a4"},
+    {file = "scikit_learn-0.24.2-cp37-cp37m-manylinux2010_i686.whl", hash = "sha256:d177fe1ff47cc235942d628d41ee5b1c6930d8f009f1a451c39b5411e8d0d4cf"},
+    {file = "scikit_learn-0.24.2-cp37-cp37m-manylinux2010_x86_64.whl", hash = "sha256:f3ec00f023d84526381ad0c0f2cff982852d035c921bbf8ceb994f4886c00c64"},
+    {file = "scikit_learn-0.24.2-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:ae19ac105cf7ce8c205a46166992fdec88081d6e783ab6e38ecfbe45729f3c39"},
+    {file = "scikit_learn-0.24.2-cp37-cp37m-win32.whl", hash = "sha256:f0ed4483c258fb23150e31b91ea7d25ff8495dba108aea0b0d4206a777705350"},
+    {file = "scikit_learn-0.24.2-cp37-cp37m-win_amd64.whl", hash = "sha256:39b7e3b71bcb1fe46397185d6c1a5db1c441e71c23c91a31e7ad8cc3f7305f9a"},
+    {file = "scikit_learn-0.24.2-cp38-cp38-macosx_10_13_x86_64.whl", hash = "sha256:90a297330f608adeb4d2e9786c6fda395d3150739deb3d42a86d9a4c2d15bc1d"},
+    {file = "scikit_learn-0.24.2-cp38-cp38-manylinux1_i686.whl", hash = "sha256:f1d2108e770907540b5248977e4cff9ffaf0f73d0d13445ee938df06ca7579c6"},
+    {file = "scikit_learn-0.24.2-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:1eec963fe9ffc827442c2e9333227c4d49749a44e592f305398c1db5c1563393"},
+    {file = "scikit_learn-0.24.2-cp38-cp38-manylinux2010_i686.whl", hash = "sha256:2db429090b98045d71218a9ba913cc9b3fe78e0ba0b6b647d8748bc6d5a44080"},
+    {file = "scikit_learn-0.24.2-cp38-cp38-manylinux2010_x86_64.whl", hash = "sha256:62214d2954377fcf3f31ec867dd4e436df80121e7a32947a0b3244f58f45e455"},
+    {file = "scikit_learn-0.24.2-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:8fac72b9688176922f9f54fda1ba5f7ffd28cbeb9aad282760186e8ceba9139a"},
+    {file = "scikit_learn-0.24.2-cp38-cp38-win32.whl", hash = "sha256:ae426e3a52842c6b6d77d00f906b6031c8c2cfdfabd6af7511bb4bc9a68d720e"},
+    {file = "scikit_learn-0.24.2-cp38-cp38-win_amd64.whl", hash = "sha256:038f4e9d6ef10e1f3fe82addc3a14735c299866eb10f2c77c090410904828312"},
+    {file = "scikit_learn-0.24.2-cp39-cp39-macosx_10_13_x86_64.whl", hash = "sha256:48f273836e19901ba2beecd919f7b352f09310ce67c762f6e53bc6b81cacf1f0"},
+    {file = "scikit_learn-0.24.2-cp39-cp39-manylinux1_i686.whl", hash = "sha256:a2a47449093dcf70babc930beba2ca0423cb7df2fa5fd76be5260703d67fa574"},
+    {file = "scikit_learn-0.24.2-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:0e71ce9c7cbc20f6f8b860107ce15114da26e8675238b4b82b7e7cd37ca0c087"},
+    {file = "scikit_learn-0.24.2-cp39-cp39-manylinux2010_i686.whl", hash = "sha256:2754c85b2287333f9719db7f23fb7e357f436deed512db3417a02bf6f2830aa5"},
+    {file = "scikit_learn-0.24.2-cp39-cp39-manylinux2010_x86_64.whl", hash = "sha256:7be1b88c23cfac46e06404582215a917017cd2edaa2e4d40abe6aaff5458f24b"},
+    {file = "scikit_learn-0.24.2-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:4e6198675a6f9d333774671bd536668680eea78e2e81c0b19e57224f58d17f37"},
+    {file = "scikit_learn-0.24.2-cp39-cp39-win32.whl", hash = "sha256:cbdb0b3db99dd1d5f69d31b4234367d55475add31df4d84a3bd690ef017b55e2"},
+    {file = "scikit_learn-0.24.2-cp39-cp39-win_amd64.whl", hash = "sha256:40556bea1ef26ef54bc678d00cf138a63069144a0b5f3a436eecd8f3468b903e"},
 ]
 scipy = [
-    {file = "scipy-1.6.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:a15a1f3fc0abff33e792d6049161b7795909b40b97c6cc2934ed54384017ab76"},
-    {file = "scipy-1.6.1-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:e79570979ccdc3d165456dd62041d9556fb9733b86b4b6d818af7a0afc15f092"},
-    {file = "scipy-1.6.1-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:a423533c55fec61456dedee7b6ee7dce0bb6bfa395424ea374d25afa262be261"},
-    {file = "scipy-1.6.1-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:33d6b7df40d197bdd3049d64e8e680227151673465e5d85723b3b8f6b15a6ced"},
-    {file = "scipy-1.6.1-cp37-cp37m-win32.whl", hash = "sha256:6725e3fbb47da428794f243864f2297462e9ee448297c93ed1dcbc44335feb78"},
-    {file = "scipy-1.6.1-cp37-cp37m-win_amd64.whl", hash = "sha256:5fa9c6530b1661f1370bcd332a1e62ca7881785cc0f80c0d559b636567fab63c"},
-    {file = "scipy-1.6.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:bd50daf727f7c195e26f27467c85ce653d41df4358a25b32434a50d8870fc519"},
-    {file = "scipy-1.6.1-cp38-cp38-manylinux1_i686.whl", hash = "sha256:f46dd15335e8a320b0fb4685f58b7471702234cba8bb3442b69a3e1dc329c345"},
-    {file = "scipy-1.6.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:0e5b0ccf63155d90da576edd2768b66fb276446c371b73841e3503be1d63fb5d"},
-    {file = "scipy-1.6.1-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:2481efbb3740977e3c831edfd0bd9867be26387cacf24eb5e366a6a374d3d00d"},
-    {file = "scipy-1.6.1-cp38-cp38-win32.whl", hash = "sha256:68cb4c424112cd4be886b4d979c5497fba190714085f46b8ae67a5e4416c32b4"},
-    {file = "scipy-1.6.1-cp38-cp38-win_amd64.whl", hash = "sha256:5f331eeed0297232d2e6eea51b54e8278ed8bb10b099f69c44e2558c090d06bf"},
-    {file = "scipy-1.6.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:0c8a51d33556bf70367452d4d601d1742c0e806cd0194785914daf19775f0e67"},
-    {file = "scipy-1.6.1-cp39-cp39-manylinux1_i686.whl", hash = "sha256:83bf7c16245c15bc58ee76c5418e46ea1811edcc2e2b03041b804e46084ab627"},
-    {file = "scipy-1.6.1-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:794e768cc5f779736593046c9714e0f3a5940bc6dcc1dba885ad64cbfb28e9f0"},
-    {file = "scipy-1.6.1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:5da5471aed911fe7e52b86bf9ea32fb55ae93e2f0fac66c32e58897cfb02fa07"},
-    {file = "scipy-1.6.1-cp39-cp39-win32.whl", hash = "sha256:8e403a337749ed40af60e537cc4d4c03febddcc56cd26e774c9b1b600a70d3e4"},
-    {file = "scipy-1.6.1-cp39-cp39-win_amd64.whl", hash = "sha256:a5193a098ae9f29af283dcf0041f762601faf2e595c0db1da929875b7570353f"},
-    {file = "scipy-1.6.1.tar.gz", hash = "sha256:c4fceb864890b6168e79b0e714c585dbe2fd4222768ee90bc1aa0f8218691b11"},
+    {file = "scipy-1.6.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:2a799714bf1f791fb2650d73222b248d18d53fd40d6af2df2c898db048189606"},
+    {file = "scipy-1.6.3-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:9e3302149a369697c6aaea18b430b216e3c88f9a61b62869f6104881e5f9ef85"},
+    {file = "scipy-1.6.3-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:b79104878003487e2b4639a20b9092b02e1bad07fc4cf924b495cf413748a777"},
+    {file = "scipy-1.6.3-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:44d452850f77e65e25b1eb1ac01e25770323a782bfe3a1a3e43847ad4266d93d"},
+    {file = "scipy-1.6.3-cp37-cp37m-win32.whl", hash = "sha256:b30280fbc1fd8082ac822994a98632111810311a9ece71a0e48f739df3c555a2"},
+    {file = "scipy-1.6.3-cp37-cp37m-win_amd64.whl", hash = "sha256:10dbcc7de03b8d635a1031cb18fd3eaa997969b64fdf78f99f19ac163a825445"},
+    {file = "scipy-1.6.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1b21c6e0dc97b1762590b70dee0daddb291271be0580384d39f02c480b78290a"},
+    {file = "scipy-1.6.3-cp38-cp38-manylinux1_i686.whl", hash = "sha256:1caade0ede6967cc675e235c41451f9fb89ae34319ddf4740194094ab736b88d"},
+    {file = "scipy-1.6.3-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:19aeac1ad3e57338723f4657ac8520f41714804568f2e30bd547d684d72c392e"},
+    {file = "scipy-1.6.3-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:ad7269254de06743fb4768f658753de47d8b54e4672c5ebe8612a007a088bd48"},
+    {file = "scipy-1.6.3-cp38-cp38-win32.whl", hash = "sha256:d647757373985207af3343301d89fe738d5a294435a4f2aafb04c13b4388c896"},
+    {file = "scipy-1.6.3-cp38-cp38-win_amd64.whl", hash = "sha256:33d1677d46111cfa1c84b87472a0274dde9ef4a7ef2e1f155f012f5f1e995d8f"},
+    {file = "scipy-1.6.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d449d40e830366b4c612692ad19fbebb722b6b847f78a7b701b1e0d6cda3cc13"},
+    {file = "scipy-1.6.3-cp39-cp39-manylinux1_i686.whl", hash = "sha256:23995dfcf269ec3735e5a8c80cfceaf384369a47699df111a6246b83a55da582"},
+    {file = "scipy-1.6.3-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:fdf606341cd798530b05705c87779606fcdfaf768a8129c348ea94441da15b04"},
+    {file = "scipy-1.6.3-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:f68eb46b86b2c246af99fcaa6f6e37c7a7a413e1084a794990b877f2ff71f7b6"},
+    {file = "scipy-1.6.3-cp39-cp39-win32.whl", hash = "sha256:01b38dec7e9f897d4db04f8de4e20f0f5be3feac98468188a0f47a991b796055"},
+    {file = "scipy-1.6.3-cp39-cp39-win_amd64.whl", hash = "sha256:3274ce145b5dc416c49c0cf8b6119f787f0965cd35e22058fe1932c09fe15d77"},
+    {file = "scipy-1.6.3.tar.gz", hash = "sha256:a75b014d3294fce26852a9d04ea27b5671d86736beb34acdfc05859246260707"},
+]
+seaborn = [
+    {file = "seaborn-0.11.1-py3-none-any.whl", hash = "sha256:4e1cce9489449a1c6ff3c567f2113cdb41122f727e27a984950d004a88ef3c5c"},
+    {file = "seaborn-0.11.1.tar.gz", hash = "sha256:44e78eaed937c5a87fc7a892c329a7cc091060b67ebd1d0d306b446a74ba01ad"},
 ]
 send2trash = [
     {file = "Send2Trash-1.5.0-py3-none-any.whl", hash = "sha256:f1691922577b6fa12821234aeb57599d887c4900b9ca537948d2dac34aea888b"},
@@ -2211,17 +2745,45 @@ sniffio = [
     {file = "sniffio-1.2.0.tar.gz", hash = "sha256:c4666eecec1d3f50960c6bdf61ab7bc350648da6c126e3cf6898d8cd4ddcd3de"},
 ]
 soupsieve = [
-    {file = "soupsieve-2.2-py3-none-any.whl", hash = "sha256:d3a5ea5b350423f47d07639f74475afedad48cf41c0ad7a82ca13a3928af34f6"},
-    {file = "soupsieve-2.2.tar.gz", hash = "sha256:407fa1e8eb3458d1b5614df51d9651a1180ea5fedf07feb46e45d7e25e6d6cdd"},
+    {file = "soupsieve-2.2.1-py3-none-any.whl", hash = "sha256:c2c1c2d44f158cdbddab7824a9af8c4f83c76b1e23e049479aa432feb6c4c23b"},
+    {file = "soupsieve-2.2.1.tar.gz", hash = "sha256:052774848f448cf19c7e959adf5566904d525f33a3f8b6ba6f6f8f26ec7de0cc"},
 ]
 spotframework = []
 tabulate = [
-    {file = "tabulate-0.8.8-py3-none-any.whl", hash = "sha256:d6fe298fc0a58d848d6160118d17e70905f36766552ee78f8a1f4d64e8e16916"},
-    {file = "tabulate-0.8.8.tar.gz", hash = "sha256:26f2589d80d332fefd2371d396863dedeb806f51b54bdb4b264579270b621e92"},
+    {file = "tabulate-0.8.9-py3-none-any.whl", hash = "sha256:d7c013fe7abbc5e491394e10fa845f8f32fe54f8dc60c6622c6cf482d25d47e4"},
+    {file = "tabulate-0.8.9.tar.gz", hash = "sha256:eb1d13f25760052e8931f2ef80aaf6045a6cceb47514db8beab24cded16f13a7"},
+]
+tensorboard = [
+    {file = "tensorboard-2.5.0-py3-none-any.whl", hash = "sha256:e167460085b6528956b33bab1c970c989cdce47a6616273880733f5e7bde452e"},
+]
+tensorboard-data-server = [
+    {file = "tensorboard_data_server-0.6.0-py3-none-any.whl", hash = "sha256:a4b8e1c3fc85237b3afeef450db06c9a9b25f5854ad27c21667a90808acd1822"},
+    {file = "tensorboard_data_server-0.6.0-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:2d723d73e3a3b0a4498f56c64c39e2e26ac192414891df22c9f152b7058fd6bc"},
+    {file = "tensorboard_data_server-0.6.0-py3-none-manylinux2010_x86_64.whl", hash = "sha256:b620e520d3d535ceb896557acca0029fd7fd2f9f408af35abc2d2dad91f0345d"},
+]
+tensorboard-plugin-wit = [
+    {file = "tensorboard_plugin_wit-1.8.0-py3-none-any.whl", hash = "sha256:2a80d1c551d741e99b2f197bb915d8a133e24adb8da1732b840041860f91183a"},
+]
+tensorflow = [
+    {file = "tensorflow-2.4.1-cp36-cp36m-macosx_10_11_x86_64.whl", hash = "sha256:e1f2799cc86861680d8515167f103e2207a8cab92a4afe5471e4839330591f08"},
+    {file = "tensorflow-2.4.1-cp36-cp36m-manylinux2010_x86_64.whl", hash = "sha256:55368ba0bedb513ba0e36a2543a588b5276e9b2ca99fa3232a9a176601a7bab5"},
+    {file = "tensorflow-2.4.1-cp36-cp36m-win_amd64.whl", hash = "sha256:0e427b1350be6dbe572f971947c5596fdbb152081f227808d8becd894bf40282"},
+    {file = "tensorflow-2.4.1-cp37-cp37m-macosx_10_11_x86_64.whl", hash = "sha256:36d5acd60aac48e34bd545d0ce1fb8b3fceebff6b8782436defd0f71c12203bd"},
+    {file = "tensorflow-2.4.1-cp37-cp37m-manylinux2010_x86_64.whl", hash = "sha256:22723b8e1fa83b34f56c349b16a57aaff913b404451fcf70981f2b1d6e0c64fc"},
+    {file = "tensorflow-2.4.1-cp37-cp37m-win_amd64.whl", hash = "sha256:2357112319303da1b5459a621fd0503c2b2cd97b6c33c4903abd46b3c3e380e2"},
+    {file = "tensorflow-2.4.1-cp38-cp38-macosx_10_11_x86_64.whl", hash = "sha256:4a04081647b89a8fb602895b29ffc559e3c20aac8bde1d4c5ecd2a65adce5d35"},
+    {file = "tensorflow-2.4.1-cp38-cp38-manylinux2010_x86_64.whl", hash = "sha256:efa9daa4b3701a4e439b24b74c1e4b66844aee8ae5263fb3cc12281ac9cc9f67"},
+    {file = "tensorflow-2.4.1-cp38-cp38-win_amd64.whl", hash = "sha256:eedcf578afde5e6e69c75d796bed41093451cd1ab54afb438760e40fb74a09de"},
+]
+tensorflow-estimator = [
+    {file = "tensorflow_estimator-2.4.0-py2.py3-none-any.whl", hash = "sha256:5b7b7bf2debe19a8794adacc43e8ba6459daa4efaf54d3302623994a359b17f0"},
+]
+termcolor = [
+    {file = "termcolor-1.1.0.tar.gz", hash = "sha256:1d6d69ce66211143803fbc56652b41d73b4a400a2891d7bf7a1cdf4c02de613b"},
 ]
 terminado = [
-    {file = "terminado-0.9.2-py3-none-any.whl", hash = "sha256:23a053e06b22711269563c8bb96b36a036a86be8b5353e85e804f89b84aaa23f"},
-    {file = "terminado-0.9.2.tar.gz", hash = "sha256:89e6d94b19e4bc9dce0ffd908dfaf55cc78a9bf735934e915a4a96f65ac9704c"},
+    {file = "terminado-0.9.4-py3-none-any.whl", hash = "sha256:daed77f9fad7b32558fa84b226a76f45a02242c20813502f36c4e1ade6d8f1ad"},
+    {file = "terminado-0.9.4.tar.gz", hash = "sha256:9a7dbcfbc2778830eeb70261bf7aa9d98a3eac8631a3afe3febeb57c12f798be"},
 ]
 testpath = [
     {file = "testpath-0.4.4-py2.py3-none-any.whl", hash = "sha256:bfcf9411ef4bf3db7579063e0546938b1edda3d69f4e1fb8756991f5951f85d4"},
@@ -2235,6 +2797,10 @@ toml = [
     {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
     {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
 ]
+tomlkit = [
+    {file = "tomlkit-0.7.0-py2.py3-none-any.whl", hash = "sha256:6babbd33b17d5c9691896b0e68159215a9387ebfa938aa3ac42f4a4beeb2b831"},
+    {file = "tomlkit-0.7.0.tar.gz", hash = "sha256:ac57f29693fab3e309ea789252fcce3061e19110085aa31af5446ca749325618"},
+]
 tornado = [
     {file = "tornado-6.1-cp35-cp35m-macosx_10_9_x86_64.whl", hash = "sha256:d371e811d6b156d82aa5f9a4e08b58debf97c302a35714f6f45e35139c332e32"},
     {file = "tornado-6.1-cp35-cp35m-manylinux1_i686.whl", hash = "sha256:0d321a39c36e5f2c4ff12b4ed58d41390460f798422c4504e09eb5678e09998c"},
@@ -2282,9 +2848,19 @@ traitlets = [
     {file = "traitlets-5.0.5-py3-none-any.whl", hash = "sha256:69ff3f9d5351f31a7ad80443c2674b7099df13cc41fc5fa6e2f6d3b0330b0426"},
     {file = "traitlets-5.0.5.tar.gz", hash = "sha256:178f4ce988f69189f7e523337a3e11d91c786ded9360174a3d9ca83e79bc5396"},
 ]
+typing-extensions = [
+    {file = "typing_extensions-3.7.4.3-py2-none-any.whl", hash = "sha256:dafc7639cde7f1b6e1acc0f457842a83e722ccca8eef5270af2d74792619a89f"},
+    {file = "typing_extensions-3.7.4.3-py3-none-any.whl", hash = "sha256:7cb407020f00f7bfc3cb3e7881628838e69d8f3fcab2f64742a5e76b2f841918"},
+    {file = "typing_extensions-3.7.4.3.tar.gz", hash = "sha256:99d4073b617d30288f569d3f13d2bd7548c3a7e4c8de87db09a9d29bb3a4a60c"},
+]
+typing-inspect = [
+    {file = "typing_inspect-0.6.0-py2-none-any.whl", hash = "sha256:de08f50a22955ddec353876df7b2545994d6df08a2f45d54ac8c05e530372ca0"},
+    {file = "typing_inspect-0.6.0-py3-none-any.whl", hash = "sha256:3b98390df4d999a28cf5b35d8b333425af5da2ece8a4ea9e98f71e7591347b4f"},
+    {file = "typing_inspect-0.6.0.tar.gz", hash = "sha256:8f1b1dd25908dbfd81d3bebc218011531e7ab614ba6e5bf7826d887c834afab7"},
+]
 urllib3 = [
-    {file = "urllib3-1.26.3-py2.py3-none-any.whl", hash = "sha256:1b465e494e3e0d8939b50680403e3aedaa2bc434b7d5af64dfd3c958d7f5ae80"},
-    {file = "urllib3-1.26.3.tar.gz", hash = "sha256:de3eedaad74a2683334e282005cd8d7f22f4d55fa690a2a1020a416cb0a47e73"},
+    {file = "urllib3-1.26.4-py2.py3-none-any.whl", hash = "sha256:2f4da4594db7e1e110a944bb1b551fdf4e6c136ad42e4234131391e21eb5b0df"},
+    {file = "urllib3-1.26.4.tar.gz", hash = "sha256:e7b021f7241115872f92f43c6508082facffbd1c048e3c6e2bb9c2a157e28937"},
 ]
 wcwidth = [
     {file = "wcwidth-0.2.5-py2.py3-none-any.whl", hash = "sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784"},
@@ -2294,6 +2870,10 @@ webencodings = [
     {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"},
     {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"},
 ]
+werkzeug = [
+    {file = "Werkzeug-1.0.1-py2.py3-none-any.whl", hash = "sha256:2de2a5db0baeae7b2d2664949077c2ac63fbd16d98da0ff71837f7d1dea3fd43"},
+    {file = "Werkzeug-1.0.1.tar.gz", hash = "sha256:6c80b1e5ad3665290ea39320b91e1be1e0d5f60652b964a3070216de83d2e47c"},
+]
 widgetsnbextension = [
     {file = "widgetsnbextension-3.5.1-py2.py3-none-any.whl", hash = "sha256:bd314f8ceb488571a5ffea6cc5b9fc6cba0adaf88a9d2386b93a489751938bcd"},
     {file = "widgetsnbextension-3.5.1.tar.gz", hash = "sha256:079f87d87270bce047512400efd70238820751a11d2d8cb137a5a5bdbaf255c7"},
diff --git a/pyproject.toml b/pyproject.toml
index b4ecc39..f267d87 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -5,10 +5,10 @@ description = "Analysing listening habits using Spotify & Last.fm data"
 authors = ["andy <andy@sarsoo.xyz>"]
 
 [tool.poetry.dependencies]
-python = ">=3.8,<3.10"
+python = "~3.8"
 spotframework = {path = "../spotframework"}
 fmframework = {path = "../fmframework"}
-numpy = "^1.20.0"
+numpy = "*"
 pandas = "^1.2.1"
 opencv-python = "^4.5.1"
 ipykernel = "^5.4.3"
@@ -19,6 +19,9 @@ matplotlib = "^3.3.4"
 pyarrow = "^3.0.0"
 scikit-learn = "^0.24.1"
 ipympl = "^0.6.3"
+tensorflow = "^2.4.1"
+google-cloud-bigquery-storage = "^2.4.0"
+seaborn = "^0.11.1"
 
 [tool.poetry.dev-dependencies]
 pylint = "^2.6.0"