{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Read waterinfo csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "from ddlpy.waterinfo import waterinfo_read\n",
    "import matplotlib.pyplot as plt\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# example in May 2020, during DST\n",
    "f = 'https://raw.githubusercontent.com/Deltares/ddlpy/main/tests/20200608_069_20200507.csv'\n",
    "g = 'https://raw.githubusercontent.com/Deltares/ddlpy/main/tests/NVT_WATHTE_SCHE_20200507.csv'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## file via email request: always CET wintertime: UTC + 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "144  rows for variable:  WATHTE\n",
      "144  rows for variable:  WATHTBRKD\n"
     ]
    },
    {
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       "       &#x27;2020-05-07T07:40:00.000000000&#x27;, &#x27;2020-05-07T07:50:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T08:00:00.000000000&#x27;, &#x27;2020-05-07T08:10:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T08:20:00.000000000&#x27;, &#x27;2020-05-07T08:30:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T08:40:00.000000000&#x27;, &#x27;2020-05-07T08:50:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T09:00:00.000000000&#x27;, &#x27;2020-05-07T09:10:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T09:20:00.000000000&#x27;, &#x27;2020-05-07T09:30:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T09:40:00.000000000&#x27;, &#x27;2020-05-07T09:50:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T10:00:00.000000000&#x27;, &#x27;2020-05-07T10:10:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T10:20:00.000000000&#x27;, &#x27;2020-05-07T10:30:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T10:40:00.000000000&#x27;, &#x27;2020-05-07T10:50:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T11:00:00.000000000&#x27;, &#x27;2020-05-07T11:10:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T11:20:00.000000000&#x27;, &#x27;2020-05-07T11:30:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T11:40:00.000000000&#x27;, &#x27;2020-05-07T11:50:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T12:00:00.000000000&#x27;, &#x27;2020-05-07T12:10:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T12:20:00.000000000&#x27;, &#x27;2020-05-07T12:30:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T12:40:00.000000000&#x27;, &#x27;2020-05-07T12:50:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T13:00:00.000000000&#x27;, &#x27;2020-05-07T13:10:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T13:20:00.000000000&#x27;, &#x27;2020-05-07T13:30:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T13:40:00.000000000&#x27;, &#x27;2020-05-07T13:50:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T14:00:00.000000000&#x27;, &#x27;2020-05-07T14:10:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T14:20:00.000000000&#x27;, &#x27;2020-05-07T14:30:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T14:40:00.000000000&#x27;, &#x27;2020-05-07T14:50:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T15:00:00.000000000&#x27;, &#x27;2020-05-07T15:10:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T15:20:00.000000000&#x27;, &#x27;2020-05-07T15:30:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T15:40:00.000000000&#x27;, &#x27;2020-05-07T15:50:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T16:00:00.000000000&#x27;, &#x27;2020-05-07T16:10:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T16:20:00.000000000&#x27;, &#x27;2020-05-07T16:30:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T16:40:00.000000000&#x27;, &#x27;2020-05-07T16:50:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T17:00:00.000000000&#x27;, &#x27;2020-05-07T17:10:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T17:20:00.000000000&#x27;, &#x27;2020-05-07T17:30:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T17:40:00.000000000&#x27;, &#x27;2020-05-07T17:50:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T18:00:00.000000000&#x27;, &#x27;2020-05-07T18:10:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T18:20:00.000000000&#x27;, &#x27;2020-05-07T18:30:00.000000000&#x27;,\n",
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       "       &#x27;2020-05-07T19:00:00.000000000&#x27;, &#x27;2020-05-07T19:10:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T19:20:00.000000000&#x27;, &#x27;2020-05-07T19:30:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T19:40:00.000000000&#x27;, &#x27;2020-05-07T19:50:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T20:00:00.000000000&#x27;, &#x27;2020-05-07T20:10:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T20:20:00.000000000&#x27;, &#x27;2020-05-07T20:30:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T20:40:00.000000000&#x27;, &#x27;2020-05-07T20:50:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T21:00:00.000000000&#x27;, &#x27;2020-05-07T21:10:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T21:20:00.000000000&#x27;, &#x27;2020-05-07T21:30:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T21:40:00.000000000&#x27;, &#x27;2020-05-07T21:50:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T22:00:00.000000000&#x27;, &#x27;2020-05-07T22:10:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T22:20:00.000000000&#x27;, &#x27;2020-05-07T22:30:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T22:40:00.000000000&#x27;, &#x27;2020-05-07T22:50:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bf570555-68ab-4175-8610-033bf9794866' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bf570555-68ab-4175-8610-033bf9794866' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>data</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-60.0 -58.0 -55.0 ... -69.0 -69.0</div><input id='attrs-bbbed9bf-6e23-4ad2-adc9-ac7a7aa1ef3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbbed9bf-6e23-4ad2-adc9-ac7a7aa1ef3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e095b802-0a96-404c-8d1c-33e473c2a83c' class='xr-var-data-in' type='checkbox'><label for='data-e095b802-0a96-404c-8d1c-33e473c2a83c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>MEETPUNT_IDENTIFICATIE :</span></dt><dd>Scheveningen</dd><dt><span>GROOTHEID_OMSCHRIJVING :</span></dt><dd>Waterhoogte</dd><dt><span>GROOTHEID_ CODE :</span></dt><dd>WATHTE</dd><dt><span>EENHEID_CODE :</span></dt><dd>cm</dd><dt><span>HOEDANIGHEID_OMSCHRIJVING :</span></dt><dd>t.o.v. Normaal Amsterdams Peil</dd><dt><span>HOEDANIGHEID_CODE :</span></dt><dd>NAP</dd><dt><span>COMPARTIMENT_CODE :</span></dt><dd>OW</dd><dt><span>COMPARTIMENT_OMSCHRIJVING :</span></dt><dd>Oppervlaktewater</dd><dt><span>WAARDEBEPALINGSMETHODE_CODE :</span></dt><dd>other:F007</dd><dt><span>WAARDEBEPALINGSMETHODE_OMSCHRIJVING :</span></dt><dd>Rekenkundig gemiddelde waarde over vorige 5 en volgende 5 minuten</dd><dt><span>KWALITEITSOORDEEL_CODE :</span></dt><dd>Normale waarde</dd><dt><span>STATUSWAARDE :</span></dt><dd>Ongecontroleerd</dd><dt><span>OPDRACHTGEVENDE_INSTANTIE :</span></dt><dd>LMW_WATERSTANDEN</dd><dt><span>EPSG :</span></dt><dd>25831</dd><dt><span>X :</span></dt><dd>586551,020314752</dd><dt><span>Y :</span></dt><dd>5772806,49292637</dd><dt><span>units :</span></dt><dd>cm</dd></dl></div><div class='xr-var-data'><pre>array([-60., -58., -55., -51., -45., -37., -26., -11.,   8.,  26.,  43.,\n",
       "        58.,  73.,  84.,  92.,  97., 100., 100.,  96.,  93.,  88.,  84.,\n",
       "        78.,  73.,  66.,  60.,  53.,  46.,  39.,  30.,  21.,  10.,   0.,\n",
       "       -11., -21., -31., -41., -49., -58., -66., -73., -78., -80., -79.,\n",
       "       -78., -76., -73., -68., -63., -60., -57., -58., -58., -60., -62.,\n",
       "       -67., -68., -72., -77., -81., -85., -86., -90., -90., -91., -91.,\n",
       "       -89., -88., -86., -83., -80., -78., -75., -71., -66., -59., -53.,\n",
       "       -44., -35., -23.,  -6.,  14.,  36.,  57.,  75.,  89., 102., 111.,\n",
       "       117., 120., 119., 117., 113., 109., 105., 101.,  98.,  92.,  88.,\n",
       "        84.,  78.,  71.,  65.,  57.,  49.,  39.,  29.,  21.,  12.,   3.,\n",
       "        -8., -18., -25., -33., -39., -42., -47., -44., -45., -41., -40.,\n",
       "       -35., -35., -34., -35., -37., -40., -44., -46., -50., -54., -57.,\n",
       "       -62., -64., -68., -70., -69., -72., -73., -72., -72., -70., -69.,\n",
       "       -69.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2a64341b-b813-40d1-a01b-e6c8fdfc1522' class='xr-section-summary-in' type='checkbox'  ><label for='section-2a64341b-b813-40d1-a01b-e6c8fdfc1522' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-de068f3e-1ea5-4cab-94f2-42220b00c69e' class='xr-index-data-in' type='checkbox'/><label for='index-de068f3e-1ea5-4cab-94f2-42220b00c69e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2020-05-06 23:00:00&#x27;, &#x27;2020-05-06 23:10:00&#x27;,\n",
       "               &#x27;2020-05-06 23:20:00&#x27;, &#x27;2020-05-06 23:30:00&#x27;,\n",
       "               &#x27;2020-05-06 23:40:00&#x27;, &#x27;2020-05-06 23:50:00&#x27;,\n",
       "               &#x27;2020-05-07 00:00:00&#x27;, &#x27;2020-05-07 00:10:00&#x27;,\n",
       "               &#x27;2020-05-07 00:20:00&#x27;, &#x27;2020-05-07 00:30:00&#x27;,\n",
       "               ...\n",
       "               &#x27;2020-05-07 21:20:00&#x27;, &#x27;2020-05-07 21:30:00&#x27;,\n",
       "               &#x27;2020-05-07 21:40:00&#x27;, &#x27;2020-05-07 21:50:00&#x27;,\n",
       "               &#x27;2020-05-07 22:00:00&#x27;, &#x27;2020-05-07 22:10:00&#x27;,\n",
       "               &#x27;2020-05-07 22:20:00&#x27;, &#x27;2020-05-07 22:30:00&#x27;,\n",
       "               &#x27;2020-05-07 22:40:00&#x27;, &#x27;2020-05-07 22:50:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=144, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a38dc086-9f86-490c-9b61-04d621c5e6a3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a38dc086-9f86-490c-9b61-04d621c5e6a3' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>file.name :</span></dt><dd>https://raw.githubusercontent.com/Deltares/ddlpy/main/tests/20200608_069_20200507.csv</dd><dt><span>file.encoding :</span></dt><dd>latin</dd><dt><span>file.original_columns :</span></dt><dd>Index([&#x27;MONSTER_IDENTIFICATIE&#x27;, &#x27;MEETPUNT_IDENTIFICATIE&#x27;,\n",
       "       &#x27;TYPERING_OMSCHRIJVING&#x27;, &#x27;TYPERING_CODE&#x27;, &#x27;GROOTHEID_OMSCHRIJVING&#x27;,\n",
       "       &#x27;GROOTHEID_ CODE&#x27;, &#x27;PARAMETER_OMSCHRIJVING&#x27;, &#x27;PARAMETER_ CODE&#x27;,\n",
       "       &#x27;EENHEID_CODE&#x27;, &#x27;HOEDANIGHEID_OMSCHRIJVING&#x27;, &#x27;HOEDANIGHEID_CODE&#x27;,\n",
       "       &#x27;COMPARTIMENT_OMSCHRIJVING&#x27;, &#x27;COMPARTIMENT_CODE&#x27;,\n",
       "       &#x27;WAARDEBEWERKINGSMETHODE_OMSCHRIJVING&#x27;, &#x27;WAARDEBEWERKINGSMETHODE_CODE&#x27;,\n",
       "       &#x27;WAARDEBEPALINGSMETHODE_OMSCHRIJVING&#x27;, &#x27;WAARDEBEPALINGSMETHODE_CODE&#x27;,\n",
       "       &#x27;BEMONSTERINGSSOORT_OMSCHRIJVING&#x27;, &#x27;BEMONSTERINGSSOORT_CODE&#x27;,\n",
       "       &#x27;WAARNEMINGDATUM&#x27;, &#x27;WAARNEMINGTIJD&#x27;, &#x27;LIMIETSYMBOOL&#x27;, &#x27;NUMERIEKEWAARDE&#x27;,\n",
       "       &#x27;ALFANUMERIEKEWAARDE&#x27;, &#x27;KWALITEITSOORDEEL_CODE&#x27;, &#x27;STATUSWAARDE&#x27;,\n",
       "       &#x27;OPDRACHTGEVENDE_INSTANTIE&#x27;, &#x27;MEETAPPARAAT_OMSCHRIJVING&#x27;,\n",
       "       &#x27;MEETAPPARAAT_CODE&#x27;, &#x27;BEMONSTERINGSAPPARAAT_OMSCHRIJVING&#x27;,\n",
       "       &#x27;BEMONSTERINGSAPPARAAT_CODE&#x27;, &#x27;PLAATSBEPALINGSAPPARAAT_OMSCHRIJVING&#x27;,\n",
       "       &#x27;PLAATSBEPALINGSAPPARAAT_CODE&#x27;, &#x27;BEMONSTERINGSHOOGTE&#x27;, &#x27;REFERENTIEVLAK&#x27;,\n",
       "       &#x27;EPSG&#x27;, &#x27;X&#x27;, &#x27;Y&#x27;, &#x27;ORGAAN_OMSCHRIJVING&#x27;, &#x27;ORGAAN_CODE&#x27;, &#x27;TAXON_NAME&#x27;],\n",
       "      dtype=&#x27;object&#x27;)</dd><dt><span>file.original_timezone :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 2kB\n",
       "Dimensions:  (time: 144)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1kB 2020-05-06T23:00:00 ... 2020-05-07T22:...\n",
       "Data variables:\n",
       "    data     (time) float64 1kB -60.0 -58.0 -55.0 -51.0 ... -70.0 -69.0 -69.0\n",
       "Attributes:\n",
       "    file.name:               https://raw.githubusercontent.com/Deltares/ddlpy...\n",
       "    file.encoding:           latin\n",
       "    file.original_columns:   Index(['MONSTER_IDENTIFICATIE', 'MEETPUNT_IDENTI...\n",
       "    file.original_timezone:  1"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dxf = waterinfo_read(f)\n",
    "# dxf is an xarray. xarrays can carry ALL meta-data.\n",
    "dxf[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='time'>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# xarray can be mapped to pandas dataframe. NB all meta-data gets lost.\n",
    "df0 = dxf[0].to_dataframe()\n",
    "df1 = dxf[1].to_dataframe()\n",
    "df0.plot()\n",
    "df1.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## file direct download: CET, with DST in summer: UCT+1 or UTC+2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "144  rows for variable:  Waterhoogte Oppervlaktewater t.o.v. Normaal Amsterdams Peil in cm\n"
     ]
    },
    {
     "data": {
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       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
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       "  display: inline-block !important;\n",
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       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
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       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
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       "\n",
       ".xr-dim-list:after {\n",
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       "\n",
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       "\n",
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       "  font-weight: bold;\n",
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       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
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       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
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       "\n",
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       "\n",
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       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
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       "\n",
       ".xr-var-dims {\n",
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       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
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       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
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       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
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       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
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       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
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       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
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       ".xr-attrs dt:hover {\n",
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       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
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       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
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       "\n",
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       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
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       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2kB\n",
       "Dimensions:  (time: 144)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1kB 2020-05-06T22:00:00 ... 2020-05-07T21:...\n",
       "Data variables:\n",
       "    data     (time) int64 1kB -69 -68 -67 -65 -63 -62 ... -64 -68 -70 -69 -72\n",
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       "    file.name:               https://raw.githubusercontent.com/Deltares/ddlpy...\n",
       "    file.encoding:           latin\n",
       "    file.original_columns:   Index([&#x27;Datum&#x27;, &#x27;Tijd&#x27;, &#x27;Parameter&#x27;, &#x27;Locatie&#x27;, ...\n",
       "    file.original_timezone:  CET</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-277f78b2-13e3-4688-bed9-a0a64574dbe8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-277f78b2-13e3-4688-bed9-a0a64574dbe8' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 144</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c66a0f31-af47-47ad-b5f3-68177f30c8c2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c66a0f31-af47-47ad-b5f3-68177f30c8c2' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-05-06T22:00:00 ... 2020-05-...</div><input id='attrs-bb2d9337-1163-4947-bbf5-094cfa554746' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb2d9337-1163-4947-bbf5-094cfa554746' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e42b4cd-b98b-4efd-a4c8-1f6b7f0eb02a' class='xr-var-data-in' type='checkbox'><label for='data-2e42b4cd-b98b-4efd-a4c8-1f6b7f0eb02a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>timezone :</span></dt><dd>UTC</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-05-06T22:00:00.000000000&#x27;, &#x27;2020-05-06T22:10:00.000000000&#x27;,\n",
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       "       &#x27;2020-05-07T21:20:00.000000000&#x27;, &#x27;2020-05-07T21:30:00.000000000&#x27;,\n",
       "       &#x27;2020-05-07T21:40:00.000000000&#x27;, &#x27;2020-05-07T21:50:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4ef66d6e-8f66-458d-a5f7-85db8fc52504' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4ef66d6e-8f66-458d-a5f7-85db8fc52504' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>data</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-69 -68 -67 -65 ... -68 -70 -69 -72</div><input id='attrs-077bdf66-2a65-48c9-bbb5-b84ebe0360e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-077bdf66-2a65-48c9-bbb5-b84ebe0360e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68bcc071-f000-4a5b-b84b-63881bd03d62' class='xr-var-data-in' type='checkbox'><label for='data-68bcc071-f000-4a5b-b84b-63881bd03d62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Parameter :</span></dt><dd>Waterhoogte Oppervlaktewater t.o.v. Normaal Amsterdams Peil in cm</dd><dt><span>Locatie :</span></dt><dd>Scheveningen</dd><dt><span>Eenheid :</span></dt><dd>cm</dd><dt><span>Bemonsteringshoogte :</span></dt><dd>-999999999</dd><dt><span>Referentievlak :</span></dt><dd>NVT</dd><dt><span>units :</span></dt><dd>cm</dd></dl></div><div class='xr-var-data'><pre>array([-69, -68, -67, -65, -63, -62, -60, -58, -55, -51, -45, -37, -26,\n",
       "       -11,   8,  26,  43,  58,  73,  84,  92,  97, 100, 100,  96,  93,\n",
       "        88,  84,  78,  73,  66,  60,  53,  46,  39,  30,  21,  10,   0,\n",
       "       -11, -21, -31, -41, -49, -58, -66, -73, -78, -80, -79, -78, -76,\n",
       "       -73, -68, -63, -60, -57, -58, -58, -60, -62, -67, -68, -72, -77,\n",
       "       -81, -85, -86, -90, -90, -91, -91, -89, -88, -86, -83, -80, -78,\n",
       "       -75, -71, -66, -59, -53, -44, -35, -23,  -6,  14,  36,  57,  75,\n",
       "        89, 102, 111, 117, 120, 119, 117, 113, 109, 105, 101,  98,  92,\n",
       "        88,  84,  78,  71,  65,  57,  49,  39,  29,  21,  12,   3,  -8,\n",
       "       -18, -25, -33, -39, -42, -47, -44, -45, -41, -40, -35, -35, -34,\n",
       "       -35, -37, -40, -44, -46, -50, -54, -57, -62, -64, -68, -70, -69,\n",
       "       -72], dtype=int64)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e3ddd28f-e54e-4cb7-85b1-caae750b7c39' class='xr-section-summary-in' type='checkbox'  ><label for='section-e3ddd28f-e54e-4cb7-85b1-caae750b7c39' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a411ae60-b606-4bd7-a2e7-113199538c67' class='xr-index-data-in' type='checkbox'/><label for='index-a411ae60-b606-4bd7-a2e7-113199538c67' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2020-05-06 22:00:00&#x27;, &#x27;2020-05-06 22:10:00&#x27;,\n",
       "               &#x27;2020-05-06 22:20:00&#x27;, &#x27;2020-05-06 22:30:00&#x27;,\n",
       "               &#x27;2020-05-06 22:40:00&#x27;, &#x27;2020-05-06 22:50:00&#x27;,\n",
       "               &#x27;2020-05-06 23:00:00&#x27;, &#x27;2020-05-06 23:10:00&#x27;,\n",
       "               &#x27;2020-05-06 23:20:00&#x27;, &#x27;2020-05-06 23:30:00&#x27;,\n",
       "               ...\n",
       "               &#x27;2020-05-07 20:20:00&#x27;, &#x27;2020-05-07 20:30:00&#x27;,\n",
       "               &#x27;2020-05-07 20:40:00&#x27;, &#x27;2020-05-07 20:50:00&#x27;,\n",
       "               &#x27;2020-05-07 21:00:00&#x27;, &#x27;2020-05-07 21:10:00&#x27;,\n",
       "               &#x27;2020-05-07 21:20:00&#x27;, &#x27;2020-05-07 21:30:00&#x27;,\n",
       "               &#x27;2020-05-07 21:40:00&#x27;, &#x27;2020-05-07 21:50:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=144, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4fdc0917-0772-4996-afe4-e0ca9a7f4aaf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4fdc0917-0772-4996-afe4-e0ca9a7f4aaf' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>file.name :</span></dt><dd>https://raw.githubusercontent.com/Deltares/ddlpy/main/tests/NVT_WATHTE_SCHE_20200507.csv</dd><dt><span>file.encoding :</span></dt><dd>latin</dd><dt><span>file.original_columns :</span></dt><dd>Index([&#x27;Datum&#x27;, &#x27;Tijd&#x27;, &#x27;Parameter&#x27;, &#x27;Locatie&#x27;, &#x27;Meting&#x27;, &#x27;Verwachting&#x27;,\n",
       "       &#x27;Astronomisch getijden&#x27;, &#x27;Eenheid&#x27;, &#x27;Bemonsteringshoogte&#x27;,\n",
       "       &#x27;Referentievlak&#x27;],\n",
       "      dtype=&#x27;object&#x27;)</dd><dt><span>file.original_timezone :</span></dt><dd>CET</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 2kB\n",
       "Dimensions:  (time: 144)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1kB 2020-05-06T22:00:00 ... 2020-05-07T21:...\n",
       "Data variables:\n",
       "    data     (time) int64 1kB -69 -68 -67 -65 -63 -62 ... -64 -68 -70 -69 -72\n",
       "Attributes:\n",
       "    file.name:               https://raw.githubusercontent.com/Deltares/ddlpy...\n",
       "    file.encoding:           latin\n",
       "    file.original_columns:   Index(['Datum', 'Tijd', 'Parameter', 'Locatie', ...\n",
       "    file.original_timezone:  CET"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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c61wPXd4Dvh4aHC6oxA9peQ6OkIg64qiMhcMXcmXfcPh6aJBfUY9tmdxHiuzLrquiJk6ceNGaDEmS8OKLL+LFF19s85igoCB89dVX9giPABRV1mPlPnPr82em9oFKJV3wuEBvHR66vAde/i0Dr/9xBJP7hsPfU3vBY4lIXseLLImN/CM2AOChVePqAZFYtjMHK/bkYXT3ELlDIgVT5Kooar//pJ5Ck0lgWEIgBsT4X/TYWaMTEB/shYKKejy3Yj8LiYmckBACR4stPWycY8QGAKYnm1dY/nagEHUNRpmjISVjYuPG6huN+HL7KQDAPWMu3WPCQ6vGW7cnQ6OS8Mu+AizflWvvEImog0qqDSivbYRK5hVR5xqWEIToAE9UG5qw+nDRpV9A1ElMbNzYj+l5OFPbiOgAT1zZN/zSLwAwODYAT6QkAQBe+OkgjhdzQ1IiZ3KseRoqPtgbHlr5VkSdS6WSrKM2K/bwQxHZDxMbNyWEwOLNWQCAu0fHQ6Nu/38Kc8clYmyPENQ1GvHw12mob+SwMpGzOLsiynlGayymNzf83HisFCVV3EOK7IOJjZtKPVGGI0VV8NKpcdtlcR16rUolYdGtgxDkrcPhgkos3pJppyiJqKOONo/YOFN9jUX3UB8MivGH0STw815uZEz2wcTGTVmSkZuGxMDfq+Orm8L8PPCXq8y9KT7bmoVGo8mm8RFR51ia8znLiqhzWaej2DaC7ISJjRuqqGvEuiMlAIC7Ryd0+jzXDopEqK8eRZUG/Lq/wEbREVFnCSGsm186Q3O+C7l2UBS0agn78yqw8WiJ3OGQAjGxcUOpJ8pgNAkkhnijRxfm4fUaNWaONHckXrIly0bREVFnlVQZUFFnXhGVGOotdzgXFOyjx8yRCQDMnczZiZhsjYmNG9p83PwpaVzPrjfJumNEHHRqFdJzyrEn+0yXz0dEnWepr0lwshVR55o3qQd89RocKqjEj3s5JUW2xcTGDW1q3shybM/QLp8rxEeP65t3/+aoDZG8rCuinLBwuKUgbx0emNgdAPD670e5spJsiomNm8kuq8WpslpoVBJGJgbZ5Jyzm5v7/bq/AAUVdTY5JxF13LFi5y4cbumeMd0Q4eeBvPI6/Cf1lNzhkIIwsXEzm5qnoYbEBcLXwzZ7PfWN8sPIxCAYTYJvUEQysjTM7ErtnKN46tSYf2UvAMC7646jorZR5ohIKZjYuJlNRy3TULbdhM4yavPFtlN8gyKSycmSGgDOtZXCxdw0NAa9wn1QUdeI99cflzscUggmNm6kyWjClhPmxMYWhcMtTe4TjqRwX1TWN+H9DXyDInK0MzUNKKtpAOC8K6LOpVZJeGZabwDAkq1ZyCvnVDZ1HRMbN7IvrwJV9U3w89BgYEyATc+tVkl4epp5D6klW/gGReRoJ0vN01DRAZ7w0mlkjqb9Lk8Kw4huQWhoMmHRH0flDocUgImNG7FMQ43pEQK1SrL5+S9PCsPIRL5BEcnhRLF5GspVRmssJEnCs81dzL9Py8Wh/EqZIyJXx8TGjWw6Zulf0/Vl3hciSRKencY3KCI5nCgxj9i4Sn1NS4NjA3D1wEgIAbyyKkPucMjFMbFxE1X1jUjLKQdg+/qalgbFBuAavkEROdzZxMa1RmwsnkpJglYtYcPREmw5Xip3OOTCmNi4Ccs2CgnBXogN8rLrtZ5s8QaVeqLMrtciIjNXWxF1rvhgb9w5wrxFyyurMiAEt1qgzmFi4yb2ZJcDAEZ1D7b7teKDvXHLZbEAgGU7s+1+PSJ319BkwqnTtQCA7i7Qw6YtD0/qAZ1GhX25FTjIqWzqJCY2buJgfgUAYEB0gEOud2tzYvP7wUJUG5occk0id5V9ugZGk4CPXoMwX73c4XRasI8ek/uEAQBWpHEPKeocJjZuQAiB/XnmxKZ/tJ9Drjkoxh+JId6obzRh1YFCh1yTyF0dL7ZMQ3lDkmy/4tGRpifHAAB+TM9Hk9EkczTkipjYuIHcM3Uor22EVi0hKcIxe8hIkoTpydEAgBVpuQ65JpG7shQOJ7pofU1LE3qFItBLi9JqAzaziJg6gYmNG7BMQ/UK94Veo3bYdW9oTmy2nihDYUW9w65L5G5cfUVUSzqNCtcOigLA6SjqHCY2bsA6DRXl79DrxgZ5YXhCEIQAfkznGxSRvbj6iqhzWUZ7WaNHncHExg3szzOvLugf49jEBgCmD7FMRzGxIbIHIcTZERsXXhHV0uDYAHRjjR51EhMbhRNC4ECeZUWU4xObqwZEQqdRIaOwip2IieygpNqAqvomqCQgPti+PaocpWWN3g/8UEQdxMRG4Qoq6nG6pgFqlYTeDiocbsnfU9ti+SaLiIlszbJHVFyQl0Nr6OzthsHmxGbLiVLW6FGHMLFROEt9Tc8wH3ho5XnTsyzfXJGWB0OTUZYYiJRKSSuiWooL9sJl8YEQAvhlX77c4ZALYWKjcHJOQ1lMTApFhJ8HSqsb8MveAtniIFIiJa2IOtfVAyMBAH8cLJI5EnIlTGwUzprYyFA4bKFVq3DXaPMeMIu3ZHIPGCIbUtqKqJau7BsOANh16jTKqg0yR0OugomNgpk7DpsLdvs5eKn3uWYMi4OHVoWD+ZXYmXVG1liIlERpK6Jaign0Qr8oP5gEsCajWO5wyEUwsVGwokoDSqsNUElA30jHbKXQlkBvnbXWZvHmTFljIVKKugYj8srrAChzxAY4O2rD6ShqLyY2CnbAWjjsC0+d/KslZo9JAAD8cagQOc07ERNR5506XQMhzKsPg7x1codjF1P6RgAANh8vQV0DFx/QpTGxUTDLiqh+Dtr48lJ6hftibI8QmATweWqW3OEQuby8M+bRmphAT5kjsZ8+kb6ICfREfaMJG4+VyB0OuQAmNgrmDCuiznXP2AQAwLKdOahhq3SiLrFMQ0UHKDexkSSJ01HUIUxsFOxQQfNWCk6U2EzsFYZuId6oqm/Cyv1c+k3UFZYRm2gFj9gAZ6ej1mYUoclokjkacnZMbBSqrsGIguZunT2cqKhQpZKsHUX56Yuoa3LdYMQGAIYlBCLAS4sztY3YdYqrKunimNgoVFaZubeFv6cWgU5WVGgZVmYxIFHXuEONDQBo1CpM6m3emoUfiOhSmNgoVFapObHpFuJ83UhZDEhkG2drbJSx+eXFWKajfj9YCJOJTT6pbUxsFOqkEyc2kiRZ36T46Yuoc+objSipMnfjVXqNDQBM6BUKH70GeeV12J3N6ShqGxMbhbKM2CQEO19iA5ydjmIxIFHnWGroPLVqBHppZY7G/jx1akztb/5A9P2ePJmjIWfGxEahLDU2CSHOOUTNYkCirmm5IkqSJJmjcYwbk80LD1buy0d9I+vz6MKY2ChUZqm5s68zTkUBLAYk6qq8cvPvuNJXRLU0MjEYkf4eqKxvwjruHUVtYGKjQFX1jSht3gk3wUkTG+BsMeDqw4Xc8Zuog9ylh01LKpWE6wZHAQC+T+N0FF0YExsFymoerQnx0cHPw3nn3sf3CoFeo0LO6TpkFFbJHQ6RS3GXHjbnurF5M931R4pxpqZB5mjIGTGxUaDMMucuHLbw0mkwrmcIAE5HEXWUu/SwOVdShC/6Rvqh0Sjwy758ucMhJ8TERoGsK6KceBrKwjIdtepgocyRELkWd9gnqi03DjEXEXM6ii6EiY0COXNzvnNd2TccWrWEwwWVOMLpKKJ2MZoECpuXe7tTjY3FdYOioJKAtOxyZDa/3xFZMLFRIFeZigKAQG8dJiaZV0d9n5YrczRErqGosh5NJgGNSkKYr4fc4ThcmJ8HxvQwT2OvPsTRXmqNiY0CudKIDXC2N8WPafkwslU60SVZpqEiAzygVrlHD5tzXd78gWjTsVKZIyFnw8RGYcprG3CmthGA8zbnO9ekPmHw89CgsLIe206WyR0OkdOzLvV2w/oaC8vCg+2Zp9msj1phYqMwlvnmcD89vHQamaNpH71GjasHNvemYKt0oktyp80v29IjzAcRfh5oaDJhZ9ZpucMhJ8LERmGyXKi+piXLKodVBwpQ18BPX0QXk+uGzfnOJUmSddSG01HUEhMbhXH2rRTacll8IGKDPFHTYMQfLAYkuijLiE2MG09FAcC4XqEAgI1HS2SOhJwJExuFcbXCYQtJkjB9cHNvCk5HEV1U3pnmfaLceMQGAMZ0DwYAZBRWobiqXuZoyFkwsVGYs7t6u1ZiAwDTh5hbpW86VsI3KaI2CCHcujlfS8E+evSP9gMAbDnO6SgyY2KjIEIIZJa45ogNYI55UGwATAL4nVssEF3Q6ZoG1DeaAJiXe7u7cT3N01GbjjKxITMmNgpSVtOAKkMTJAmIC3LN1RJT+zXv+H2IiQ3RhVhGa8J89dBr1DJHIz9rAfHxUgjBPljExEZRLPU1Uf6e8NC65hvelH7hAIDUE6WorG+UORoi55PHFVGtDI0PhKdWjZIqA44UcVsWYmKjKJnWzS9dc7QGALqH+iAx1BuNRoH1R7jSgehcrK9pTa9RY0RiEABOR5EZExsFsRQOu2J9TUuWHb85HUV0PvawOZ+lzmbjMX4YIiY2ipLV3MPG1ZrzncsyHbUuoxiGJjbrI2rJsqt3lD8TGwtLnc0Obq9AYGKjKCddtIfNuQbHBCDUV49qQxO2nWSrdKKWippbIYT7cUWURc8wH4T76WFoMmFX1hm5wyGZMbFRCCEETrlwD5uWVCoJk/uYR21WswsxUStFFZbERi9zJM7DvL1C87JvTke5PSY2ClFcZUBtgxEqCYgNdN3iYQvLdNTqQ0UwmbiEkwgATCaB4ioDACDCnyM2LVmmozZy3yi3x8RGISwromKDvKDTuP4/6+juwfDWqVFUacC+vAq5wyFyCmU1DWgyCUgSEOLDEZuWxvQwJzaHCypR0pz8kXty/b+ABOBsDxtXLxy20GvUmJgUBoDTUUQWRZXmaagQHz20ar59txTio0e/KG6vQExsFCNTIUu9W7JMR/3B7RWIAJxNbCJYOHxBXPZNgBMkNn/9618hSVKrr969e1ufr6+vx0MPPYTg4GD4+PjgpptuQlER/9Cdy7JHVEKw69fXWExMCoNGJeFYcbV1qo3InRVWsnD4YsY319lsPsbtFdyZ7IkNAPTr1w8FBQXWr82bN1ufe+yxx/Dzzz9j+fLl2LBhA/Lz83HjjTfKGK1zcuVdvdvi76nFyMRgAJyOIgKAokpz7QiXel/Y0IRAeGhVKK4y4GhRtdzhkEycIrHRaDSIiIiwfoWEmLPuiooKfPrpp1i0aBEmTZqEoUOHYsmSJdi6dSu2bdsmc9TOw2QSOFVmbs6npKkogNNRRC2dXerNxOZC9Bo1RnQzfxjism/35RSJzbFjxxAVFYXExETceeedyM7OBgDs3r0bjY2NmDx5svXY3r17Iy4uDqmpqW2ez2AwoLKystWXkhVU1sPQZIJWLSlu/xhLP5vd2We40oHcnqU5H2ts2sZl3yR7YjNixAgsXboUq1atwr///W9kZmZi3LhxqKqqQmFhIXQ6HQICAlq9Jjw8HIWFbU9NLFy4EP7+/tav2NhYO9+FvLJaLPXWKGylRFSAJwZE+0MIYG0GR23IvVm2UwhjjU2bxvcyFxDvyCzj9gpuSva/gtOmTcMtt9yCgQMHIiUlBb/++ivKy8vx7bffdvqczz77LCoqKqxfOTk5NozY+VgKa7spZKn3uab05XQUEQA252sHy/YK9Y0m7DnF7RXckeyJzbkCAgLQq1cvHD9+HBEREWhoaEB5eXmrY4qKihAREdHmOfR6Pfz8/Fp9KZklsVFS4XBLU/qZ/603HS9FjaFJ5miI5GFoMuJ0TQMATkVdjCRJ1jqbPdlMbNyR0yU21dXVOHHiBCIjIzF06FBotVqsWbPG+vyRI0eQnZ2NUaNGyRilc8lSeGLTK9wHcUFeaGgysSCQ3FZx84oonUYFf0+tzNE4t8GxAQCAtOxyWeMgecie2DzxxBPYsGEDsrKysHXrVkyfPh1qtRozZsyAv78/7r33XsyfPx/r1q3D7t27MXv2bIwaNQojR46UO3SnYWnOl6jQxEaSJE5Hkdtr2ZxPkiSZo3FuyXEBAIC0nHL2s3FDGrkDyM3NxYwZM1BWVobQ0FCMHTsW27ZtQ2iouQDsjTfegEqlwk033QSDwYCUlBS8//77MkftPJqMJuScNi/1VuqIDWCejvpkcybWZBSjyWhSXJE00aWwOV/79Y3yg06twumaBmSfrkW8QusP6cJkT2yWLVt20ec9PDzw3nvv4b333nNQRK4lv7wejUYBvUaFSAXPuw+ND0SQtw6naxqwI+s0RncPkTskIodic77202vU6Bfth7TscqTnlDOxcTP82OviLNNQ8cFeUKmUOzytVkm4ord5U0xOR5E7Kqpkc76OYJ2N+2Ji4+IyS8xtw5Wyq/fFWFZHrT5UxHlzcjvcALNjkuMCAQBpXBnldpjYuLgshW6lcCFje4TAQ6tCXnkdDhUou5s00bkszfnC2cOmXZKbR2wO5leyUZ+bYWLj4qzN+dwgsfHUqTG+p7monNNR5G4szfnCfVk83B4xgZ4I8dGjySRwML9C7nDIgZjYuLhT1hob5Sc2QOvpKCJ3IYSwjtiw63D7SJLEOhs3xcTGhRlNAnnldQCAuGAvmaNxjEm9w6CSgEMFldZl7kRKV1nfhLrm6RQWD7dfy3425D6Y2Liw4irzUm+NSnKbgsIgbx2GJQQB4KgNuY/i5sJhf08tPLRqmaNxHZbEJp0jNm6FiY0LyzltHq2JCvCEWsFLvc/F6ShyN2zO1zkDYwKgkoC88jprckjKx8TGhVmmYmKDPGWOxLEs2yvsyDqNM82bAhIpGZvzdY6PXoNe4b4AOB3lTpjYuLCcM82JTaB71NdYxAZ5oXeEL4wmgbUZxXKHQ2R3bM7XedY6G05HuQ0mNi7MMhUVE+heIzbA2emoNRmcjiLlY3O+zkuOZaM+d8PExoVZR2yC3GvEBgDG9zTvFbX95Gl2ISbFY3O+zrOM2OzLrUCT0SRvMOQQTGxcWN4Zy4iN+yU2A2L8odeoUFbTgBMlNXKHQ2RXRWzO12ndQ33gq9egrtGIo0XVcodDDsDExkU1Gk0oqDAnNu5WPAyYd++1fBLbkXla3mCI7KyIzfk6TaWSMMjSqC+H01HugImNi8ovr4NJAHqNCqE+7vkpbni3YADAjswymSMhsh+jSaCkmquiuoIFxO6FiY2Lalk4LEnu08OmpRHdzI36tmeyzoaUq6zaAKNJQCUBIW76IaarziY2HLFxB0xsXJQ7Fw5bJMcFQKOSUFBRj9zmeiMipbFsfhnio3erRpy2NLh5ZdSJkhpU1DXKHA3ZGxMbF2VtzueGhcMWXjoNBsT4A2CdDSkXe9h0XZC3DvHN++ntZaM+xWNi46IsIxTuWDjc0vDm6aidWUxsSJksIzZhXBHVJcnc6dttMLFxUZapKHdc6t2Spc6GIzakVMXN2ymEcZ+oLkmOa27Ux5VRisfExkVZiofdeSoKAIbGB0GSgJOlNSiu4iZ3pDxFzf9dh/lyKqorrDt955RzsYHCMbFxQXUNRpQ2L/9096kof08t+kT4AQB2ZvKTGCkPR2xso3eEH3QaFcprG5FVVit3OGRHTGxcUG7zNJSvXgN/T63M0chvuHU6iv1sSHlKOGJjEzqNCgOizYsNuOxb2ZjYuCBL4XBMkJfb9rBpqWU/GyKlKaq0NOfjiE1XsYDYPTCxcUFnC4fdexrKYlhzYnOkqArltQ0yR0NkOyaTsE47c8Sm61hA7B6Y2Lgg9rBpLcRHj+6h3hAC2JXFNyxSjtO1DWgyCUgSEOKjkzsclze4uYA4o6AKdQ1GeYMhu2Fi44KsK6LcvHC4JWudDfvZkIJYmvMFe+uhUfPtuqui/D0Q5qtHk0kgnY36FIu/KS7Iup0CR2yshrPOhhSIzflsS5IkjOpu3jx3y/FSmaMhe2Fi44IsU1ExHLGxsuz0fSCvAjWGJpmjIbKNEi71trmxPUIAAJuY2CgWExsXU1HXiMp68x9ujticFR3giegATxhNAnu4lJMUwrpPFAuHbWZcz1AAwL7cci42UCgmNi7G0sMmyFsHb71G5micC7dXIKWxTkVxxMZmIvw90DPMB0IAW46z95USMbFxMdYeNlzqfR7W2ZDSFFub8zGxsSXLqM3m4yUyR0L2wMTGxTCxaZslsUnPKUd9I5dykusrstbYcCrKlsb1MtfZbDxayn2jFIiJjYvJa05sogOY2JyrW4g3Qnz0aGgyYV9uhdzhEHVZCVdF2cWIbkHQqVXIK69DZmmN3OGQjTGxcTF55eYaGyY255MkqUWdDefOybUJIc5ORXHExqa8dBoMjTd3Id7M1VGKw8TGxeSVN4/YcEXUBbHOhpTiTG0jGo3maZJQH47Y2FrL6ShSFiY2LoZTURdnSWz2nDqDJqNJ5miIOs8yWhPkrYNOw7dqWxvXw1xAvO1kGRr5XqEo/G1xIbUNTThT2wgAiGbx8AUlhfvCz0ODmgYjDhVUyh0OUadZC4dZX2MX/aL8EOilRbWhidsrKAwTGxdiGa3x1Wvg76mVORrnpFJJZ/eN4nQUubDiStbX2JNKJWGMpQvxUS77VhImNi4k11pfw9GaixmWYE5suNM3uTLuE2V/43qaE5stJ7jYQEmY2LgQ1te0z4AYfwDAgXwu+SbXZRmxCWfXYbsZmWjeY25fLntfKQkTGxeSxxGbdukfbU5scs/U4UwN94Ih13R2xIZTUfYSF+SFcD89Go0CadnlcodDNsLExoXkl3PEpj38PLRICDYvh+eoDbkqTkXZnyRJGN7NPGrDmjzlYGLjQqxTURyxuaR+zaM2+/OY2JBrKmLxsENYFxtksc5GKZjYuJA8jti024DmxOZgHpd8k+sxdx3miI0jWLqV7z51Bg1N7GejBExsXESj0WT9BMcRm0sbwBEbcmGVdU3WP7KhTGzsqkeoDwK9tKhvNHHqWiGY2LiIwop6mASg06gQ4s03ukvpF+UHAMg+XYuK5qaGRK6iqLnrcICXFh5atczRKJtKJVlbRLDORhmY2LiI3BZLvVUqSeZonF+Alw6xQeaRrYP8FEYupphdhx2KTT2VhYmNi2B9TcdxOopclXVXby71dogRzSujdmadhtEkZI6GuoqJjYtgc76O68/EhlyUdZ8oNudziD6RvvDRa1BV34SMQi44cHVMbFxEXnktABYOd0T/qOYOxExsyMVwxMaxNGoVhsYHAuB0lBIwsXERnIrqOMtUVFZZLSrrWUBMrqOwwpzYRPozsXEU1tkoBxMbF8HmfB0X6K2zJoLsZ0OupKA5sYlgYuMwI1okNkKwzsaVMbFxASaTQH55cw8bjth0SP9o87JvTkeRK+GIjeMNiPGHXqNCWU0DTpTUyB0OdQETGxdQWm1Ag9EElcRPcB3FlVHkapqMJmuNTQS3U3AYvUaN5LgAAJyOcnVMbFxAbnN9TYSfB7Rq/pN1hGVlFDuKkqsoqTbAJACNSkKwD1dFOdLZDTG5b5Qr419JF2Cpr4niNFSHWRKbzNIaVLGAmFyAZRoq3M8DajbjdChLnc121tm4NCY2LsC6IoqFwx0W4qNHdIAnhAD253LUhpxfIQuHZZMcFwCNSkJBRb212zu5HiY2LoDN+bpmcPO8eVpOuaxxELUHV0TJx0unwYAY8ygv62xcFxMbF8ARm65Jjg0AAKRll8saB1F7FFY2r4hi4bAs2M/G9TGxcQH5bM7XJclx5o6i6TlnOG9OTo8jNvKy1NnszGJi46qY2LgAS2LD4uHO6RflB61aQml1A+fNyekVVpj/G4305++7HIbGB0GSgJOlNdZl9+RamNg4uWpDEyrrmwCwWVdneWjV6BtpbtTHOhtydmdHbLjUWw7+nlr0iTC/X+zMPCNzNNQZTGycXEHzaI2vhwa+HlqZo3FdlumotGy+UZHzMpkEiiotiQ1HbORyts6G/WxcERMbJ5ff/Oktim9yXWLpKMoCYnJmZTUNaDQKSBIQ5ssRG7m07GdDroeJjZM7W1/DaaiuSI41j9gcyq+EockoczREF2YZrQn10bPLuIyGNSc2R4qqUF7bIHM01FH8zXFylqmoSBYOd0lskCeCvXVoMJpwKJ87fZNzKuDml04hxEeP7qHeEALYlcXpa1fDxMbJnZ2K4htdV0iShMHsZ0NOzrIiiku95WfZN2o762xcjsskNu+99x4SEhLg4eGBESNGYMeOHXKH5BBc6m07yexATE7u7IgNf9/lNjTePH29N4dbsbgal0hsvvnmG8yfPx8vvPAC9uzZg0GDBiElJQXFxcVyh2Z3fKOzHa6MImfXcgNMkteA5g10D+ZXwGRiY09X4hKJzaJFizBnzhzMnj0bffv2xQcffAAvLy8sXrxY7tDsSgjB4mEbGhjjD0kCcs/UoaTKIHc4ROdhjY3z6B7qDQ+tCjUNRmSW1cgdDnWA0yc2DQ0N2L17NyZPnmx9TKVSYfLkyUhNTZUxMvs7XdMAQ5MJAOfcbcHXQ4ueYT4AgHROR5ETKqzkdgrOQqNWoU9zY88DeZyOciVOn9iUlpbCaDQiPDy81ePh4eEoLCy84GsMBgMqKytbfbkiy6e3EB899Bq1zNEog2XZN6ejyNkIIVBg3U6BiY0zsExHMbFxLU6f2HTGwoUL4e/vb/2KjY2VO6RO4TSU7Q2MNb9R7ecbFTmZirpG1DeaR2hZY+Mc+kfz/cIVOX1iExISArVajaKiolaPFxUVISIi4oKvefbZZ1FRUWH9ysnJcUSoNmdNbFg4bDMtP4Fxp29yJpZpqCBvHTy0HKF1Bv2jmguI8ypZQOxCnD6x0el0GDp0KNasWWN9zGQyYc2aNRg1atQFX6PX6+Hn59fqyxVZCwk5YmMzSRG+0KgknKltRF45d/om52Hd/JKjNU6jZ7gPdBoVqgxNyD5dK3c41E5On9gAwPz58/Hxxx/js88+w+HDh/Hggw+ipqYGs2fPljs0u+I+Uban16jRK9wXAHAgzzVrr0iZCrkiyuloWxQQczrKdbhEYnPbbbfh9ddfx4IFCzB48GCkp6dj1apV5xUUKw2b89kHCwLJGVlGbMKZ2DiVAdFcGeVqXCKxAYB58+bh1KlTMBgM2L59O0aMGCF3SHZ3dp8ovtHZUv8YFgSS87FspxDJqSinYqmzOZDP9wtX4TKJjbtpMppQ1NxEjlNRttU/6uwnMBYQk7Ow1thwxMap9LeO8Fby/cJFMLFxUsVVBhhNAhqVhFBfvdzhKEqfSD+oVRLKahqsK1GI5FbI7VOcUq9wX+jUKlTUNSLnNBccuAImNk7K0qgr3M8DapUkczTK4qFVWzsQ78/l8DI5h0KO2DglnUaFpIjmBQecjnIJTGycVH65+U0umoXDdsECYnImVfWNqDI0AWBi44zYqM+1MLFxUtbW6iwctgvrvHk+l3yT/CxTHIFeWvjoNTJHQ+fiByHXwsTGSVlGbDjfbh/8BEbOJOeMuflbbJCXzJHQhfSP5oIDV8LExklZethEc8TGLvpG+kElASVVBhSxgJhkltPc1TY2kImNM0qK8IVWbe5YnnuGBcTOjomNkyrgCgm78tSp0aO5gJjDyyQ3yx/LmCD+vjsjvUaNvs0diNNzyuUNhi6JiY2TymdzPrvjdBQ5i9zmqagYjtg4rcGxAQCAtOxyWeOgS2Ni44TqG40oq2kAwFVR9sSCQHIWluLh2ED+vjur5LhAAEBazhmZI6FLYWLjhCz9LDy1avh7amWORrk4YkPOQAjB4mEXkBwXAAA4mFcJQ5NR3mDoopjYOCHLfHtUgAckic357MVSQFxUyQJiks+Z2kbUNpj/UHKE1nnFBXkhyFuHBqMJhwuq5A6HLoKJjRPKLKsBAHQL8ZY5EmXz1mvQK9zcUZTz5iQXy4qocD89PLRqmaOhtkiS1KLOhtNRzoyJjRPKLDEnNgnBTGzszTJvzpUOJJccFg67jGQWELsEJjZOKKt5xCaBIzZ2l8xPYCQzFg67DhYQuwYmNk4oq5RTUY5iKQjcl1uBJqNJ3mDILbFw2HUMjPWHJJmT0dJqg9zhUBuY2DiZJqMJ2c1z7hyxsb/uoT7w1WtQ12jEkSIWBJLjWRYLsOuw8/Pz0KJHqLmxZzqno5wWExsnk1dehyaTgF6jQqQfm/PZm0olYXDzqA3nzUkOuc0fZNh12DVYRnk5HeW8mNg4mZOlZwuHVSou9XYEy0oHFhCTo5lMgiM2LsZaZ8MPQk6LiY2TsdTXJITwTc5RrJ/AWEBMDlZcZUCD0QS1SkKkP0doXUHLujyjiTt9OyMmNk7mbGLD+hpHGRxr/gR2oqQGFbWNMkdD7sSyR1Skvwc0ar4du4KeYb7w1qlRbWjC8eJqucOhC+BvkpPJLDO/0XVjDxuHCfLWISHYPEKWnlsubzDkVqwrojgN5TLUKgkDYwIAcJTXWTGxcTJc6i0Pa50N583Jgaw9bFg47FIs01HbTpbJGwhdEBMbJ9LQZLIOTTOxcSw23iI5WLZTYNdh13J57zAAwLojJWhk/yunw8TGiWSfroVJAN46NUJ99XKH41aSWyz5FoIFgeQYZ5vzccTGlQyJC0Swtw4VdY3YmXla7nDoHExsnIhlGio+2Ju7ejtY7wg/6DUqVNQ1IrP534HI3rjU2zWpVRKu6GMetfnjUJHM0dC5mNg4kSzu6i0bnUaF/tH+ANjPhhyjyWhCQUU9AG6n4Iqm9I0AAKw+VMRRXifDxMaJZLJwWFbcuZccqaCiHkaTgE6jQqgPp55dzdieIfDUqpFXXoeD+ZVyh0MtMLFxIpnsYSMrFhCTI1kLhwM82WXcBXlo1RjfKwQAp6OcDRMbJ3J2qTeHpeVgKSA+XFCFugajvMGQ4lnqa2I4DeWyWk5HkfNgYuMk6huNyG+eb09gcz5ZRPp7IMxXD6NJ4EB+hdzhkMJlNtfUxXFFlMua1DsMapWEwwWV1hE4kh8TGydxqrnjsK+HBkHeOpmjcU+SJHHfKHKYjAJzXUZSuK/MkVBnBXrrMCzBPIXN6SjnwcTGSVjqaxJDuNRbTty5lxwlo7AKANAn0k/mSKgrzk5HFcocCVkwsXESLBx2DlwZRY5QXttgXeqdFMERG1d2Zd9wAMCOzNPcRNdJMLFxEtZdvVlfI6sBMf5QqyQUVtajoKJO7nBIoQ4XmEdrYoM84euhlTka6orYIC/0CPOBSQBbT5TKHQ6BiY3TOFpsfqNLDGViIycvncZa88ANMcleDjfX1/SO4DSUEozraV72vfEYExtnwMTGCTQZTdY3Okv3W5KPtYCYHYjJTjIKzb/vrK9RhvE9QwEAm46VsAuxE2Bi4wROlNSgvtEEH70G3TgVJbuzBcRcGUX2YZmK6sP6GkUYkRgErVpC7pk66wpXkg8TGyewP8/cM6VvlB87kDqBwc0FxPtyK9BoNMkbDClOk9GEo0VcEaUkXjoNhsabPxBtOlYiczTExMYJHGhObPpHcRrKGSSGeMPPQwNDkwlHmpfkEtlKVlkNDE0meOnUiGPXYcUY1zwdxTob+TGxcQKWxGZADD+9OQOVSsJgTkeRnVimoZIifDlCqyCWOpvUE2Uc6ZUZExuZGU3CujPsABYOO43B7GdDdsIVUcrUL8oPgV5aVBuasJcLD2TFxEZmJ0uqUddohJdOjW4hPnKHQ824MorsxdJxuG8kC4eVRKWSMKYHl307AyY2MrNsttg30g9qDks7jcExAQDMHaHP1DTIGwwpinXEhoXDitNy2TfJh4mNzPbnsn+NMwr01iGxeXuL9NxyeYMhxeBWCso2trlR396ccm6vICMmNjKzFg4zsXE6rLMhW7MUDscEesKPWykoTlSAJ7qHesMkgNSTnI6SCxMbGZlMAgebp6I4YuN8rHU2XBlFNsKOw8o3vpd5Our3g0UyR+K+mNjIKLOsBjUNRnhoVejOPaKcjqUD8d6ccphMbJNOXWepr2HHYeW6dlAUAGDVgULUGJpkiaHG0ITFmzMx5uW16PN/q7DgxwPIdqOOyBq5A3BnlmmovpF+0KiZYzqbpAhfeGhVqKxvwsnSGvQI46o16hrLiiiO2ChXcmwAuoV4I7O0Br8fLMSNQ2Lser2Mwkr8fqAIAuYPXxV1jfh+Tx4q6s7W+HyeegpfbDuFaQMi8eSUJCSEKPuDNBMbGVk7DnMayilp1SoMiPbHzqwzSMs+w8SGuqShRSdrrohSLkmScMPgaLzxv6NYkZZn18SmyWjCvUt3Ia+87rznEoK9cN+4RMQHe+GTTZnYcLQEK/cVIPVEGZbOHoaBzSs/lYiJjYz2M7FxeslxgebEJqcct1wWK3c45ML255XD0GRCkLcOCcHcSkHJbkiOwhv/O4otx0tRVFmPcD8Pu1zn94NFyCuvQ4CXFlcPiAQAqCQJY3oE48q+EdYWIuN6huJwQSWe+m4f9udVYMZH2/DRXZdZ++4oDec/ZGIyCRzMY8dhZ5fcvDIqnSujqIu2Z54GAAxPCIIksWeVksUHe2NofCBMAvgxPc9u11myJRMAcNfIePxj+gD8Y/oAvHRDf0ztH3leX7Q+kX74eu5IjO4ejJoGI2Yv2Ylf9xfYLTY5MbGRSWZZDaoMTdBpVJzicGKWAuKMwkrUNshTCEjKsMOS2HQLkjkScoTpydEAgBVp+XY5/77ccuw6dQZatYQ/jYxv12t89BosmT0M0/pHoMFowsNfp2Fn1mm7xCcnJjYy2Xrc3ONgSFwAtCwcdloR/h6I8POASQD7civkDodclNEksCvL3DaAiY17uGZgJHRqFQ4XVFqX+dvSki1ZzdeJQlgHprr0GjXevWMIrhkYCaNJ4NFl6YprJsi/qDKx7CVi2eqenNfZfjblssZBrutwQSWqDU3w1Wu4IspNBHjpcHlv8/v7ij22nY4qrqzHL/vMI0GzxyR0+PVqlYSXbxqIhGAv5JXX4Znv90EI5bS0YGIjg0ajCdtOlAE4u7cIOS826qOustTXXJYQyD3h3Mj0ZPOKqP+es/y6q77YdgqNRoHL4gM7vbrJR6/B2zOSoVFJ+O1AIZbtzLFZfHJjYiODvTnlqDI0IdBLi35R/PTm7Cx1Nmk55Yr6VEOOs9NaXxMscyTkSJN6hyEuyAul1QY8t2K/Td4/iivr8eX2bADA7DHdunSugTEBeGpqEgDgbz8fxLGiqi7H5wyY2MjAMg01pkcIVPz05vT6R/lDrZJQUmVAfvMGhkTtJYTAjiwWDrsjnUaFt24fDI1Kwi/7CrB8V26nz3WipBrP/Hcfxr6yDmU1DYjy90BKv/Aux3jf2ESM6xmC+kYTnv/hgCI+vDGxkYFlS3tOQ7kGT50afSLNLfD3nOJ0FHXMiZJqnK5pgIdWxdYObig5LhDzp/QCALzw00EcL67u8DneW3cckxdtwLKdOWgwmjAkLgAfzrzMJh3rVSoJr9w0EDqNCtszT2PdkeIun1NuTGwcrKKuEXtzygGc3eKenN9l8eZP2ttOlskcCbkaS33NkLhA6DR8y3VHD4zvjjE9glHXaMQjX6fB0GRs92uzSmvwxuqjEAKY3CcM3z0wCt//eQwGxNguSY4K8LQWIb/8WwaMLr43Hn/LHCz1RClMAuge6o2oAE+5w6F2GtvcoXNz8zJ9ovZi/xpSqSQsunUwgrx1OFRQicWbs9r92tf+OIImk8DEpFB8cvcwXJZgn/+O/jyhB/w9tThaVI3/7u78lJkzYGLjYFzm7ZpGdg+GRiXhVFktTpXVyB0OuQghBLafZGJDQLifB56Z2hsA8HlqFhqNpku+Jj2nHCv3FUCSgKebX2sv/l5aPDypBwBg0eqjqGto/6iSs2Fi42CbrYkNp6FciY9egyHNq6M2HeOoDbVP7pk6FFbWQ6uWkBwbKHc4JLPrBkchxEeHgop6/H6wsNVzJpNAWbXB+r0QAgt/PQwAuDE5xiH9j2aOikd0gCcKK+uxuHm7BlfExMaBTpXVIPt0LbRqCSMTuezT1ViS0c1MbKidLPU1A2MC4KlTyxwNyc1Dq8YdI8zbHyzefDZxEEJg/rfpGPr3/2HGR9uw7kgx1hwuxvbM09BpVHi8ufjY3vQaNZ5IMV/r/XXHXXa7BSY2DmSZhhoSFwhvPTdWdzWWYu8tJ0rR1I5hZKIdmeZic05DkcWfRsZBq5awJ7sc6c0LSb7ZmYMf0s2dhFNPlmH2kp24/4vdAMydhR1Zj3n9oGiMSjRvlPmnT7ZjbUaRw65tK0xsHOh/h8z/gXAayjUNjAmAn4cGVfVN2Mt9o6gdWDhM5wrz9cC1g6IAmHfnPl5chb/+fBAA8OeJ3XHf2G7w1qlhNAn4e2rx5wk9HBqfSiVh8axhmNQ7DIYmE+Z8vhvf73GtYmIOGzhIcVW9tX/N1QOjZI6GOkOtkjC2Zwh+3V+IzcdKMTSeNRPUtqLKemSV1UIlgf+tUCv3jOmG7/fkYeW+AhzMr0R9ownjeobgiSlJUKkkPHxFT/y6vwADov3h76V1eHyeOjU+nDkUT323DyvS8jD/273QqlXWhMzZccTGQX5Kz4dJAINjA9AtxFvucKiTLKvZLEkqUVssozV9o/zg5+H4P07kvPpH+2N4QhCaTALHi6sR7K3Dv24ZZO1E7++pxYzhcegvY0NHrVqFf90yCDNHmmuC/r7ykMuslGJi4yAr0sy7u944JFrmSKgrLP1s0nLKUVlvu03tSHms01AJXChA57tnbIL1/79+yyCE+XnIF0wbVCoJz13dB9EBniiqNLjMSilZE5uEhARIktTq6+WXX251zL59+zBu3Dh4eHggNjYWr776qkzRdt7RoioczK+ERiXhGk5DubTYIC90C/GG0SSQeoJdiKltZ+trOA1F57uybwTmXd4DC28cgMt7h8kdTps8tGdXSn2w/gRO1zTIHNGlyT5i8+KLL6KgoMD69fDDD1ufq6ysxJQpUxAfH4/du3fjtddew1//+ld89NFHMkbccZbRmolJYQjy1skcDXUVl33TpZypacCR5p2Sh9mpUyy5NrVKwhMpSZgxPE7uUC7p+kHR6BvphypDE95Ze0zucC5J9sTG19cXERER1i9v77P1J19++SUaGhqwePFi9OvXD7fffjseeeQRLFq0SMaIO8ZkEviR01CKYpmOYp0NtcXS/6NHmA+CffQyR0PUNSqVhGevMnc+/mLbKWSX1coc0cXJnti8/PLLCA4ORnJyMl577TU0NTVZn0tNTcX48eOh050d5UhJScGRI0dw5kzbuywbDAZUVla2+pLLtswy5FfUw9dDg0lOPNxI7TeyezAkCcgqq0VRZb3c4ZATsiQ2XOZNSjGuZyjG9QxBo1HgtT+OyB3ORcma2DzyyCNYtmwZ1q1bh/vvvx///Oc/8dRTT1mfLywsRHh4eKvXWL4vLGzdjrqlhQsXwt/f3/oVGxtrnxtohxV7zKM11wyMhIeWnUeVwM9Di77N7c0tdRRELVn+uxjBxIYU5OmpvSFJwM9787Evt1zucNpk88TmmWeeOa8g+NyvjIwMAMD8+fMxceJEDBw4EA888AD+9a9/4Z133oHBYLjEVS7u2WefRUVFhfUrJyfHFrfWYdWGJvx2wJyATU+OkSUGsg/LJ3EmNnSuakMTDuSbR4lZX0NK0j/aHzcMNpdULPw1A0IImSO6MJs36Hv88ccxa9asix6TmJh4wcdHjBiBpqYmZGVlISkpCRERESgqat3O2fJ9REREm+fX6/XQ6+Wf1/5owwlUG5qQGOqNy9igS1FGdAvCki1ZTGzoPHtOnYHRJBAb5OnQVvhEjvD4lF5Yua8AqSfLsP5oCS5Pcr4SC5snNqGhoQgNDe3Ua9PT06FSqRAWZv5BjRo1Cs899xwaGxuh1ZobXK1evRpJSUkIDHTuRKG4sh4fbzKv+X+yuZskKYflk/iRoiqcqWlAIFe7UTP2ryEliwn0wt2j4/Hxpky88lsGxvcMhdrJ/r7JVmOTmpqKN998E3v37sXJkyfx5Zdf4rHHHsOf/vQna9Jyxx13QKfT4d5778XBgwfxzTff4K233sL8+fPlCrvd3vjfMdQ1GpEcF4Cp/dseXSLXFOyjR48wHwBw2R1wyT5YX0NK99DlPeDnoUFGYZW1nYkzkS2x0ev1WLZsGSZMmIB+/frhH//4Bx577LFWPWr8/f3xxx9/IDMzE0OHDsXjjz+OBQsWYO7cuXKF3S7Hi6vx7S5zXc9fruoDSXKubJZsg3U2dK6SKgN2Z5tXbI5M5IgNKVOAlw4PXW7enPNffxxBfaNzbbUg2yaYQ4YMwbZt2y553MCBA7Fp0yYHRGQ7r67KgNEkMLlPOIsHFWxEtyB8tT0bOzhiQ81+2psPo0lgcGwA4oK95A6HyG7uHp2Az1NPIa+8Du+uPY4nUpLkDslK9j42SrMz6zT+OFQElQQ8M815/qHJ9ixJ64G8ClQbmi5xNLmDFWm5ANiMk5TPQ6vGX67qAwB4b/1xp9pihomNDdUYmvDUd/sAALcNi0WPMF+ZIyJ7igrwRGyQJ0wC2H2q7YaR5B6OFVXhQB73hCP3cfXASNwyNAZCAI99k44zTrKPFBMbG3rhp4PILK1BpL8Hnp7aW+5wyAEsK192ZDrPpxWSB/eEI3f01+v6ITHEG4WV9Xj6v/ucorcNExsb+TE9D9/tzoVKAt68bTACvPjG5g5GuFAB8ZbjpVibUQSjSf43HqUxmQR+TM8HwGkoci/eeg3enpEMnVqFPw4V4Yttp+QOiYmNLWSX1eK5FQcAAA9P6okRXA3hNiwro/bmVDjdyoCWNhwtwZ2fbMc9S3dh8qIN+HL7KaeO19VszzyNvPI67glHbql/tD+enmaepVj4WwYq6hpljUe2VVFKUVnfiHlf70G1oQnDEgLx8KQecodEDhQf7IUwXz2KqwxIyy7HqO7Ol9SWVBnw+LfpAACNSkJmaQ2eW3EAL/+aAX8vrfW48b1CseCavtzTrBMsRcPcE47c1T1jEvDNzmwcLarGtztzMGf8hXcYcASO2HRBSZUBt3+4DftyK+DvqcWbtydDo+aP1J1IkmQdoUs96Xx1NiaTwOPL96K0ugG9I3yx47nJWHBNX0QHeKLK0ITcM3XWr6+2Z2P2kp2oqpf305arqW804rf93BOO3JskSZg9phsAYOnWLDQZTbLFwr/CnZRdVoubP9iKQwWVCPHR4cv7RiCa+8K4pXE9QgAAm46VyBzJ+T7dnImNR0vgoVXhnRnJCPLW4Z6x3bD+yYn45eGxWPHn0Vjx59F4945k+Og1SD1Zhhkfb0Npddc2onUnaw4Xo8rQhOgAT+4JR25tenI0Ar20yCuvw/8OF136BXbCxKYTDhdU4qYPtuJUWS1igzzx3QOj0T/aX+6wSCZje5oTm7055aiodZ7Rjn255Xj19wwAwIJr+qFn+Nn2A1q1Cv2j/ZEcF4jkuEBcMzAKX88ZiWBvHQ7kVeKWD1KRc7pWrtBdyu8HzaM11wyK5J5w5NY8tGrcMSIOALB4S5ZscTCx6aCdWadx64epKKkyoHeEL/77wGgkhHjLHRbJKCrAE91DvWESQOrJUrnDAQBUG5rwyNdpaDQKTO0XgRnDYy/5mgEx/lj+wChEB3gis7QGN3+wFUcKqxwQretqaDJh3ZFiAMCUvtwTjmjmyARoVBJ2ZJ7GgbwKWWJgYtMBazOK8KdPtqOqvgmXxQfim7mjEObnIXdY5ATG9TTvaL/xmHMkNgt+PICsslpE+Xvg5ZsGtHu/ssRQH/z3wdHoFe6DokoDbv0wFbtPOf9SdrlszyxDVX0TQnz0SI4NkDscItlF+HvgqgGRAIAlMo3aMLFphyajCf/ZdgpzPt8NQ5MJk3qH4T/3jmi1ooTc27iezlNn80NaHr7fk2fuqXR7cod7KkX4e+Db+0dhSFwAKuoacecn27HhqPz35Yz+OGiuI7iybxinoYia3TPWXET88958FFfVO/z6TGwuosbQhCVbMjHhtfX4vx8OwGgSuDE5Gh/OHApPHZd00lkjE4OhVUvIOV2HU2U1ssVxqqwGz/9g7qn0yBU9rX12OirAS4cv7huBiUmhqG804bFv0tn35hxCCKw+ZE5sOA1FdNbg2AAkxwWgwWjCfZ/tQpmDFyMwsWnD2owijHllLf728yHkldch2FuHZ6f1xuu3DIKWS7rpHN56DYbEmVfEyDUdJYTA/1uWjmpDE4YnBGHe5V3rqeSl0+CjmZchOsATp2sa8GN6no0iVYb9eRUorKyHt07tlP2LiOT0jxsGIMhbh325Fbjlw1Tkldc57Nr8C30B/92dizmf70Z5bSMSgr3wj+n9seWZSbh/QncON1Obxvcy19lskmnaZuOxUqTnlMNbp8Ybtw+2SU8lnUaFWaMTAACLN2c5xT4wzsIyDTUhKZRN+YjO0TfKz7oY4WRJDW56fyuOFTlmMQITm3N8sukkHl++1zrttHr+BNw5Ip5vXHRJY5v72aSeKJOlOdWSLZkAgFsui7VpT6Vbh8XCS6fGkaIqpJ5wviaEcvnjkHmZN6ehiC6se6gPvntwFHqE+aCwsh6zlux0yJQ2E5tmQgi8sioDf195GABw39hunHaiDukf7Y8ALy2qDE3Ym1vu0GsfL67G+iMlkCRYR1hsxd9Ti5uGmDvqytmbwplkldbgaFE11CoJlydxbyiitkT6e2L5/aMQ6e+BvPI6fJ6aZfdr8q82AKNJ4Nnv9+Pf608AAJ6amoTnru7DaSfqELVKwpjmUZuNRx1bZ/PZ1iwAwBW9w+3SV2nWmAQAwJqMIlmLo52FpWh4ZGIQV0cSXUKgtw7zr+wFAHh37XGU1zbY9Xpun9jUNxrx0Jd7sGxnDlQSsPDGAfjzxB7t7vtB1JJle4WNDlz2XVHbiO92mzdhvKc5AbG17qE+mJgUCiHM+8C4u98OFADgNBRRe904JAa9I3xRWd+E95sHEezFrRObnNO1mL1kJ1YdLIROrcL7dw7BjOFxcodFLmxCkrmAOD2nHCVVjlni+M2ubNQ1GtE7wteuq3Puad7g7tudOW693cKBvArsyS6HRiVhan8mNkTtoVZJeHpabwDmD0e5Z+z3HuKWic3+3ArM+2oPJry2Dqkny+CtU2Pp7GGY2j9S7tDIxUX6e2JgjD+EMLcMsLcmowmfbT0FAJg9JsGuI43jeoagZ5gPahqMuPz19Xjsm3QcLqi02/WclaWb6lUDIhHOzuNE7TaxVyhGJQajocmERX8ctdt13Cqx2Xy8FHd8vA3XvrsZv+wrgEmYl+guf2A0RjdPIRB11ZV9wgGcXQ5sT6sPFSGvvA5B3jpcPzjarteSJAnv3zkEo7sHo8kksCItD9Pe2oSFvx2263WdSUmVAT/vzQdwtrsqEbWPJEl49irzqM2K9Dy7dWp3q8Tmgf/sxtYTZVCrJExPjsavj4zD5/cMR98oP7lDIwWZ0s88PbHpeClqDE12vdbi5iXedwyPc0hLgp7hvvhqzkj8PG8srhloHuH8aONJHMyXZ7M7R/ty+yk0GE1IjgvAYO4NRdRhA2MCcOOQaAgB3Lt0F37dX9Dq+dwztdiV1bX96dwqsfHUqXDPmG7Y8OREvHHbYCY0ZBe9wn0QH+yFhiYTNtqxWd/+3ArszDoDjUrCzFHxdrvOhQyI8ce7dwzBtYOiIATw8m8ZDr2+HAxNRnyxzTztZ6k3IqKOW3jjAFw1IAINRhMe+moPvtqebS0RGf/qOtz8QSq+3H6q0+d3q8Tmf49NxIJr+yIm0EvuUEjBJEnClL7m6SjLsmB7sDTku2agfLUeT05JglYtYdOxUmx2kp3N7eWXvQUorW5AhJ8Hi4aJukCvUeOdGUNwx4g4CAH8ZcX+ViUiAPDiz4dwtJOdit0qsWG/CXKUK5uXAa/JKEajHboQF1fV4+d95lqP2TKOHsQFe+FPI82jRQt/OwyTSZlbLgghrNN+d42OZ+NOoi5SqyT844b+1j3tLCUiKx8Ziwm9QmFoMuHhr9I61amYv51EdjA0PhBB3jpU1DViZ2bX5osv5Itt2Wg0CgyND8QgmWs9Hp7UE756DQ7mV+Kn5sJapUk9UYaD+ZXw0KowYxhbQhDZgiRJeCIlCT8+NAabn74cb9w2GP2i/PH6LYMQ4qPHkaIqvP77kQ6fl4kNkR2oVRIm9zG32v/DxtNR9Y1GfLX97BJvuQV56/DAxO4AgNf/OAJDk/33gnEky3YrAHDbZbEI9NbJHBGRsgyKDUCk/9n97UJ99Vh06yAAwLKdOR0+HxMbIjuxdKVdfajIprti/7w3H6XVDYjy98DUfs5R63HPmG4I99Mj90wdVuzJkzscm1q5vwB7cyvgrVPj4St6yh0OkVsY3ysUc8cnduq1TGyI7GRszxB4atXIK6/DgTzbNLJrNJrwySZzrcfMUQnQOEmth6dOjfvGmt+ElmzJsmkiJ6eGJhNeXWUeCp87vjtCfPQyR0TkPp6YkoSU5oUYHeEc74pECuShVWNS83TUVzs6v3SxpTdWH8WRoir4eWgwY3isTc5pK7cOi4WXTo0jRVXYeqJM7nBs4qvtp5B9uhYhPnrcN45LvIkcSadR4V+3De7w65jYENnR3aMSAADf78nD6Zqu7Wi75Xgp/r3BvHncwhsHIsDLuWo9/D21uHloDICzS9FdWVV9I95eexwA8NiVPeGt18gcERG1BxMbIjsalhCI/tF+MDSZ8PWO7E6fp6zagMe+SYcQwIzhsbh6oHPuazZrdAIA8zL3rNIaeYPpon+vP4HTNQ1IDPXGbZc51+gYEbWNiQ2RHUmSZO1S+5/UU53qaSOEwJPf7UNxlQE9wnyw4Jp+tg7TZhJDfTCpdxiEMO/g66p2nzqNDzeeBAA8PbW309QyEdGl8beVyM6uHhiJEB89Civr8duBwg691mQSeOmXw1ibUQydRoW3b0+Gp87+e0J1hWUJ+vJdOaisb5Q3mE6oqGvEI1+nw2gSuGFwlLWLNBG5BiY2RHam16gxs7k77+LN7a89aTSa8MTyvdaOty9d388l9jcb2yMEPcN8UNNgxLed6EEhJyEEnluxH3nldYgL8sJLN/SHJElyh0VEHcDEhsgB7hgRB51ahfSccuzJPnPJ4+sajLj/P7vxfVoe1CoJi24dhNtcpOOtJEnWbR4+3nQSdQ2u07Bv+a5c/LKvABqVhLdnJMPXg9uwELkaJjZEDhDqq8d1g6MAAK//fqTN/U8amkxYvisH17yzCWsziuGhVeHju4bixiExjgy3y24aGo2YQE8UVRqsI07Obkfmabzw00EAwBMpSRgs81YVRNQ5TGyIHGTu+EToNCpsPVGGuxfvaFV/UlXfiI82nsD4V9fhye/24URJDQK8tPji3hGY1Nv1ajz0GjWeTEkCYF5dVFZtkDmii/vfoSLM/HQ76hqNmNArFHPHda7jKRHJTxJKaRF6EZWVlfD390dFRQX8/Jy/RoGUK/VEGeZ8vgvVhib0jfTDqzcPxM/78vHVtmxUGZoAAGG+eswe0w13jIiDv6frToWYTALXvbcZB/IqMWt0Av56nXOu5lq+KwfPfL8fRpPA5D5hePeOIfDQOneBNpG76MzfbyY2RA52IK8Cs5bsQGl164Z9PcJ8MHd8Iq4fHAW9Rhl/WLccL8Wdn2yHVi3hf/MnID7YW+6QWvli2yk8/8MBAMBNQ2Lwyk0DuLSbyIl05u83f4OJHKx/tD++e2A0YoPMu9kOTwjCp3dfhj8eHY9bL4tVTFIDAGN6hGB8r1A0GgVe+/2I3OG0sj+3An/72VxTc9/Ybnjt5oFMaogUgD3CiWSQEOKNVf9vPAor69E91EfucOzqmam9selYCX7ZV4A548oxyAmKcqsNTXj46z1oNApM7ReB567uw2XdRArBjydEMvHWaxSf1ABA3yg/TE+OBgAs/O2wU+z8/cKPB5FVVotIfw+8fNMAJjVECsLEhojs7vEpSdBpVNh28jTWHymRNZYf0vLw3z25UEnAm7cNdrrNRImoa5jYEJHdRQd4YnbzBpkv/5YBo0meUZvsslprsfDDk3piRGKwLHEQkf0wsSEih/jzxB7w99TiSFEV/rsn1+HXbzSa8PCyNFQbmjAsIRAPT+rh8BiIyP6Y2BCRQ/h7aTHvcnMy8cbqo212X7aXRauPYm9OOfw8NHjz9mSugCJSKP5mE5HDzBwVj+gATxRU1OPx5XuRVVrjkOtuPlaKDzacAAC8ctNARAd4OuS6ROR4TGyIyGE8tGo8e1VvAMDKfQW4/F/r8eAXu3Egr8Ju1yyrNuCxb9MhhHkz0mkDIu12LSKSHxMbInKoawZG4Zu5I3F5UiiEAH47UIgb39+Ko0VVNr/W6ZoG3LN0J0qqDOgZ5oP/u7qvza9BRM6FiQ0ROdyIxGAsmT0cvz86HsMSAtFgNOGV3zJseo288jrc/MFW7M2tQKCXFu/eMQSeOuV0dSaiC2NiQ0SySYrwxSs3DYRaJWFNRjG2nSyzyXmPF1fh5n9vxcmSGkT5e2D5A6ORFOFrk3MTkXNjYkNEskoM9cGM4bEAgIW/dq0zcX55Hf7+yyFc/+4WFFTUo0eYD757cDR6hCm/wzMRmXGvKCKS3f+7ohe+35OHvbkVWLm/ANcMjOrQ6wsq6vDaqiP4aW8+mpqb/10WH4iP77oMgd7sLEzkTjhiQ0SyC/XVY+74RADAa78fQUOTqd2vPV5chRvf34rv0/LQZBIYlRiMpbOHYfkDo5jUELkhjtgQkVOYMy4RX2zLxqmyWgz7x/+gVZs3powJ9MLsMQm4akAktOc01UvLPoPZS3eivLYRPcJ88K9bBjnF7uFEJB9JOMNWu3ZWWVkJf39/VFRUwM/PT+5wiKgNy3fl4Mnv9l3wuegAT8wanYDYIHNzvbKaBvxj5WHUNhgxODYAS2YN4wgNkcJ05u83Exsicio5p2tR22DebsEkBNYcLsLSrVkorW644PHjeobggz8NhbeeA9BEStOZv998JyAipxIb5NXq+z6RfrhvXCK+35OHlfvzYWg8W38zND4Qj09Jgk7DckEiMuOIDRERETmlzvz95sccIiIiUgwmNkRERKQYTGyIiIhIMZjYEBERkWIwsSEiIiLFYGJDREREisHEhoiIiBSDiQ0REREpht0Sm3/84x8YPXo0vLy8EBAQcMFjsrOzcfXVV8PLywthYWF48skn0dTU1OqY9evXY8iQIdDr9ejRoweWLl1qr5CJiIjIxdktsWloaMAtt9yCBx988ILPG41GXH311WhoaMDWrVvx2WefYenSpViwYIH1mMzMTFx99dW4/PLLkZ6ejkcffRT33Xcffv/9d3uFTURERC7M7lsqLF26FI8++ijKy8tbPf7bb7/hmmuuQX5+PsLDwwEAH3zwAZ5++mmUlJRAp9Ph6aefxsqVK3HgwAHr626//XaUl5dj1apV7Y6BWyoQERG5HpfaUiE1NRUDBgywJjUAkJKSgsrKShw8eNB6zOTJk1u9LiUlBampqRc9t8FgQGVlZasvIiIiUj7ZEpvCwsJWSQ0A6/eFhYUXPaayshJ1dXVtnnvhwoXw9/e3fsXGxto4eiIiInJGHUpsnnnmGUiSdNGvjIwMe8Xabs8++ywqKiqsXzk5OXKHRERERA6g6cjBjz/+OGbNmnXRYxITE9t1roiICOzYsaPVY0VFRdbnLP9reazlMX5+fvD09Gzz3Hq9Hnq93vq9pYyIU1JERESuw/J3uyPlwB1KbEJDQxEaGtqxqNowatQo/OMf/0BxcTHCwsIAAKtXr4afnx/69u1rPebXX39t9brVq1dj1KhRHbpWWVkZAHBKioiIyAWVlZXB39+/Xcd2KLHpiOzsbJw+fRrZ2dkwGo1IT08HAPTo0QM+Pj6YMmUK+vbti5kzZ+LVV19FYWEhnn/+eTz00EPW0ZYHHngA7777Lp566incc889WLt2Lb799lusXLmyQ7EEBQVZY2rvD8bRKisrERsbi5ycHLdcuTVs2DDs3LlT7jAczl3vG3Dfe3fX+wbc9955351XUVGBuLg469/x9rBbYrNgwQJ89tln1u+Tk5MBAOvWrcPEiROhVqvxyy+/4MEHH8SoUaPg7e2Nu+++Gy+++KL1Nd26dcPKlSvx2GOP4a233kJMTAw++eQTpKSkdCgWlcpcSuTv7+/0SYOfn5/Tx2gParWa9+1m3PXe3fW+Afe9d95311n+jreH3RKbpUuXXrJLcHx8/HlTTeeaOHEi0tLSbBgZOaOHHnpI7hBk4a73DbjvvbvrfQPue++8b8eye4M+Z+AKDfpcIUYiIiJHcqkGfY6k1+vxwgsvtFop5WxcIUYiIiJH6szfRrcYsSEiIiL34BYjNkREROQemNhQl7333ntISEiAh4cHRowY0arx4v3334/u3bvD09MToaGhuP7669vVnXr58uXo3bs3PDw8MGDAgPOKzIUQWLBgASIjI+Hp6YnJkyfj2LFjNr+3i7nYfQPmvc4mTZoEb29v+Pn5Yfz48RfdCgQA1q9fjyFDhkCv16NHjx4XLMC/1HUd4WIxnDhxAtOnT0doaCj8/Pxw6623ntdo80Kc/d43btyIa6+9FlFRUZAkCT/88IP1ucbGRjz99NMYMGAAvL29ERUVhbvuugv5+fmXPK8r3zcAzJo167wO9FOnTr3keZ39voFL33t1dTXmzZuHmJgYeHp6om/fvvjggw8ued59+/Zh3Lhx8PDwQGxsLF599dXzjrnUe6A9LVy4EMOGDYOvry/CwsJwww034MiRI62O+eijjzBx4kT4+flBkqTzNrpui0P+3QVRFyxbtkzodDqxePFicfDgQTFnzhwREBAgioqKhBBCfPjhh2LDhg0iMzNT7N69W1x77bUiNjZWNDU1tXnOLVu2CLVaLV599VVx6NAh8fzzzwutViv2799vPebll18W/v7+4ocffhB79+4V1113nejWrZuoq6uz+z0Lcen73rp1q/Dz8xMLFy4UBw4cEBkZGeKbb74R9fX1bZ7z5MmTwsvLS8yfP18cOnRIvPPOO0KtVotVq1a1+7qOcLEYqqurRWJiopg+fbrYt2+f2Ldvn7j++uvFsGHDhNFobPOcrnDvv/76q3juuefE999/LwCIFStWWJ8rLy8XkydPFt98843IyMgQqampYvjw4WLo0KEXPaer37cQQtx9991i6tSpoqCgwPp1+vTpi57TFe5biEvf+5w5c0T37t3FunXrRGZmpvjwww+FWq0WP/74Y5vnrKioEOHh4eLOO+8UBw4cEF9//bXw9PQUH374ofWY9rwH2lNKSopYsmSJOHDggEhPTxdXXXWViIuLE9XV1dZj3njjDbFw4UKxcOFCAUCcOXPmkud11L87Exsbeffdd0V8fLzQ6/Vi+PDhYvv27dbn6urqxJ///GcRFBQkvL29xY033igKCwsvec5vv/1WJCUlCb1eL/r37y9WrlzZ6nmTyST+7//+T0RERAgPDw9xxRVXiKNHj9r83i5m+PDh4qGHHrJ+bzQaRVRUlFi4cOEFj9+7d68AII4fP97mOW+99VZx9dVXt3psxIgR4v777xdCmO87IiJCvPbaa9bny8vLhV6vF19//XVXbqfdLnXfI0aMEM8//3yHzvnUU0+Jfv36tXrstttuEykpKe2+riNcLIbff/9dqFQqUVFRYX2+vLxcSJIkVq9e3eY5XeXeLS70R+5cO3bsEADEqVOn2jxGCfd99913i+uvv75D53G1+xbiwvfer18/8eKLL7Z6bMiQIeK5555r8zzvv/++CAwMFAaDwfrY008/LZKSkqzfX+o90NGKi4sFALFhw4bznlu3bl27ExtH/btzKsoGvvnmG8yfPx8vvPAC9uzZg0GDBiElJQXFxcUAgMceeww///wzli9fjg0bNiA/Px833njjRc+5detWzJgxA/feey/S0tJwww034IYbbsCBAwesx7z66qt4++238cEHH2D79u3w9vZGSkoK6uvr7Xq/Fg0NDdi9ezcmT55sfUylUmHy5MlITU097/iamhosWbIE3bp1a7W9RUJCAv76179av09NTW11TgBISUmxnjMzMxOFhYWtjvH398eIESMueF1bu9R9FxcXY/v27QgLC8Po0aMRHh6OCRMmYPPmza3OM3HixFZ7r13qvjv687aHS8VgMBggSVKrFQweHh5QqVSt7t8V772jKioqIEkSAgICrI8p9b7Xr1+PsLAwJCUl4cEHH7RuY2Oh1PsePXo0fvrpJ+Tl5UEIgXXr1uHo0aOYMmWK9ZhZs2Zh4sSJ1u9TU1Mxfvx46HQ662MpKSk4cuQIzpw5Yz3mYj8fR6uoqACADnX/BeT7d2diYwOLFi3CnDlzMHv2bOscq5eXFxYvXoyKigp8+umnWLRoESZNmoShQ4diyZIl2Lp1K7Zt29bmOd966y1MnToVTz75JPr06YOXXnoJQ4YMwbvvvgvAXGPy5ptv4vnnn8f111+PgQMH4vPPP0d+fv5588D2UlpaCqPRiPDw8FaPh4eHo7Cw0Pr9+++/Dx8fH/j4+OC3337D6tWrW/1Sd+/eHSEhIdbvCwsLL3pOy/9e6rr2cqn7PnnyJADgr3/9K+bMmYNVq1ZhyJAhuOKKK1rVAcXFxSEyMtL6fVv3XVlZibq6unb/vO3pUjGMHDkS3t7eePrpp1FbW4uamho88cQTMBqNKCgosB7vivfeEfX19Xj66acxY8aMVr03lHjfU6dOxeeff441a9bglVdewYYNGzBt2jQYjUbrMUq8bwB455130LdvX8TExECn02Hq1Kl47733MH78eOsxkZGRiIuLs37f1r1bnrvYMXLcu8lkwqOPPooxY8agf//+HXqtXP/udus87C4sGeazzz5rfaxlhjl8+HA0Nja2ykB79+6NuLg4pKamYuTIkQDMoxazZs2yjlykpqZi/vz5ra6VkpJiTVouNWpx++232+mOO+7OO+/ElVdeiYKCArz++uu49dZbsWXLFnh4eAAA1qxZI3OEtmUymQCYC6dnz54NwLylyJo1a7B48WIsXLgQAPD555/LFqO9hIaGYvny5XjwwQfx9ttvQ6VSYcaMGRgyZEirluhKvHeLxsZG3HrrrRBC4N///ner55R43y3fawYMGICBAweie/fuWL9+Pa644goAyrxvwJzYbNu2DT/99BPi4+OxceNGPPTQQ4iKirK+N1t+313VQw89hAMHDpw34twecv27M7HpootlmBkZGSgsLIROp2s1HG15vmUG6mqjFgAQEhICtVp93oqXoqIiREREWL/39/eHv78/evbsiZEjRyIwMBArVqzAjBkzLnjeiIiIi57T8r9FRUWtPg0UFRVh8ODBtri1i7rUfVtisuxSb9GnTx9kZ2e3ed627tvPzw+enp5Qq9Xt+nnbU3v+zadMmYITJ06gtLQUGo0GAQEBiIiIQGJiYpvndYV7bw9LUnPq1CmsXbv2kp1SlXLfLSUmJiIkJATHjx+3JjbnUsJ919XV4S9/+QtWrFiBq6++GgAwcOBApKen4/XXXz9vysWirXu3PHexYxx97/PmzcMvv/yCjRs3IiYmpsvnc9S/O6einMSaNWswb948ucPoEJ1Oh6FDh7YacTGZTFizZg1GjRp1wdcIc8E6DAZDm+cdNWrUeaM4q1evtp6zW7duiIiIaHVMZWUltm/f3uZ1belS952QkICoqKjzlkcePXoU8fHxbZ73UvfdmZ+3rXUkhpCQEAQEBGDt2rUoLi7Gdddd1+Z5XeHeL8WS1Bw7dgz/+9//EBwcfMnXKOG+z5Wbm4uysrJWHzrOpYT7bmxsRGNj43mbM6rVauuo7YWMGjUKGzduRGNjo/Wx1atXIykpCYGBgdZjLvbzsTchBObNm4cVK1Zg7dq16Natm03O67B/93aXGdMFGQwGoVarz6uWv+uuu8R1110n1qxZc8GK8bi4OLFo0aI2zxsbGyveeOONVo8tWLBADBw4UAghxIkTJwQAkZaW1uqY8ePHi0ceeaSzt9Nhy5YtE3q9XixdulQcOnRIzJ07VwQEBIjCwkJx4sQJ8c9//lPs2rVLnDp1SmzZskVce+21IigoqNXSvUmTJol33nnH+v2WLVuERqMRr7/+ujh8+LB44YUXLrjcOyAgQPz444/WJcWOXu7d1n0LYV4K6efnJ5YvXy6OHTsmnn/+eeHh4dFqNdjMmTPFM888Y/3eshTyySefFIcPHxbvvffeBZdCXuy6znDvixcvFqmpqeL48ePiP//5jwgKChLz589vdQ5XvPeqqiqRlpYm0tLSBACxaNEikZaWJk6dOiUaGhrEddddJ2JiYkR6enqrpc8tV78o7b6rqqrEE088IVJTU0VmZqb43//+J4YMGSJ69uzZqrWBK973pe5dCCEmTJgg+vXrJ9atWydOnjwplixZIjw8PMT7779vPcczzzwjZs6caf2+vLxchIeHi5kzZ4oDBw6IZcuWCS8vr/OWe1/qPdCeHnzwQeHv7y/Wr1/f6r/l2tpa6zEFBQUiLS1NfPzxxwKA2Lhxo0hLSxNlZWXWY+T6d2diYwPDhw8X8+bNs35vNBpFdHS0WLhwoSgvLxdarVZ899131uczMjIEAJGamtrmOW+99VZxzTXXtHps1KhR5y15fv31163PV1RUOHTJs8U777wj4uLihE6nE8OHDxfbtm0TQgiRl5cnpk2bJsLCwoRWqxUxMTHijjvuEBkZGa1eHx8fL1544YVWj3377beiV69eQqfTiX79+rW51D08PFzo9XpxxRVXiCNHjtj1Ps/V1n1bLFy4UMTExAgvLy8xatQosWnTplbPT5gwQdx9992tHlu3bp0YPHiw0Ol0IjExUSxZsqTD13WEi8Xw9NNPi/DwcKHVakXPnj3Fv/71L2EymVq93hXv3bKs9dyvu+++W2RmZl7wOQBi3bp11nMo7b5ra2vFlClTRGhoqNBqtSI+Pl7MmTPnvD9CrnjflhjbunchzH/cZ82aJaKiooSHh4dISko677/3u+++W0yYMKHVeffu3SvGjh0r9Hq9iI6OFi+//PJ5177Ue6A9tfXfcst/oxdeeOGSx8j1787ExgYulWE+8MADIi4uTqxdu1bs2rVLjBo1SowaNarVOVxx1IKIiMjZsHjYBm677TaUlJRgwYIFKCwsxODBg7Fq1SprYe8bb7wBlUqFm266CQaDASkpKXj//fdbncNSbGkxevRofPXVV3j++efxl7/8BT179sQPP/zQarndU089hZqaGsydOxfl5eUYO3YsVq1aZV1tRERE5G64uzcREREpBldFERERkWIwsSEiIiLFYGJDREREisHEhoiIiBSDiQ0REREpBhMbIiIiUgwmNp3w3nvvISEhAR4eHhgxYgR27NgBAMjKyoIkSRf8Wr58eZvnW79+PSRJQmBgIOrr61s9t3PnTus5iIiI6OKY2HTQN998g/nz5+OFF17Anj17MGjQIKSkpKC4uBixsbEoKCho9fW3v/0NPj4+mDZt2iXP7evrixUrVrR67NNPP0VcXJy9boeIiEhRmNh00KJFizBnzhzMnj0bffv2xQcffAAvLy8sXrwYarUaERERrb5WrFiBW2+9FT4+Ppc89913343Fixdbv6+rq8OyZctw9913tzqurKwMM2bMQHR0NLy8vDBgwAB8/fXX1uc///xzBAcHn7eD9g033ICZM2d28SdARETkvJjYdEBDQwN2796NyZMnWx9TqVSYPHkyUlNTzzt+9+7dSE9Px7333tuu88+cORObNm1CdnY2AOC///0vEhISMGTIkFbH1dfXY+jQoVi5ciUOHDiAuXPnYubMmdYpsVtuuQVGoxE//fST9TXFxcVYuXIl7rnnng7fNxERkatgYtMBpaWlMBqN1j2gLMLDw1FYWHje8Z9++in69OmD0aNHt+v8YWFhmDZtGpYuXQoAWLx48QUTkejoaDzxxBMYPHgwEhMT8fDDD2Pq1Kn49ttvAQCenp644447sGTJEutrvvjiC8TFxWHixIntvFsiIiLXw8TGTurq6vDVV1+dN1rTr18/+Pj4tFl3c88992Dp0qU4efIkUlNTceedd553jNFoxEsvvYQBAwYgKCgIPj4++P33360jPQAwZ84c/PHHH8jLywMALF26FLNmzWIRMhERKRp39+6AkJAQqNVqFBUVtXq8qKgIERERrR777rvvUFtbi7vuuqvV47/++isaGxsBmEdWzjVt2jTMnTsX9957L6699loEBwefd8xrr72Gt956C2+++SYGDBgAb29vPProo2hoaLAek5ycjEGDBuHzzz/HlClTcPDgQaxcubLT905EROQKmNh0gE6nw9ChQ7FmzRrccMMNAACTyYQ1a9Zg3rx5rY799NNPcd111yE0NLTV4/Hx8Re9hkajwV133YVXX30Vv/322wWP2bJlC66//nr86U9/ssZw9OhR9O3bt9Vx9913H958803k5eVh8uTJiI2N7cjtEhERuRxORXXQ/Pnz8fHHH+Ozzz7D4cOH8eCDD6KmpgazZ8+2HnP8+HFs3LgR9913X6eu8dJLL6GkpAQpKSkXfL5nz55YvXo1tm7disOHD+P+++8/bxQJAO644w7k5ubi448/ZtEwERG5BY7YdNBtt92GkpISLFiwAIWFhRg8eDBWrVrVqqB48eLFiImJwZQpUzp1DZ1Oh5CQkDaff/7553Hy5EmkpKTAy8sLc+fOxQ033ICKiopWx/n7++Omm27CypUrrSNMRERESiYJIYTcQZD9XHHFFejXrx/efvttuUMhIiKyOyY2CnXmzBmsX78eN998Mw4dOoSkpCS5QyIiIrI7TkUpVHJyMs6cOYNXXnmFSQ0REbkNjtgQERGRYnBVFBERESkGExsiIiJSDCY2REREpBhMbIiIiEgxmNgQkVNav349JElCeXm53KEQkQvhqigicgoTJ07E4MGD8eabbwIAGhoacPr0aYSHh3NXeiJqN/axISKnpNPpEBERIXcYRORiOBVFRLKbNWsWNmzYgLfeeguSJEGSJCxdurTVVNTSpUsREBCAX375BUlJSfDy8sLNN9+M2tpafPbZZ0hISEBgYCAeeeQRGI1G67kNBgOeeOIJREdHw9vbGyNGjMD69evluVEisjuO2BCR7N566y0cPXoU/fv3x4svvggAOHjw4HnH1dbW4u2338ayZctQVVWFG2+8EdOnT0dAQAB+/fVXnDx5EjfddBPGjBmD2267DQAwb948HDp0CMuWLUNUVBRWrFiBqVOnYv/+/ejZs6dD75OI7I+JDRHJzt/fHzqdDl5eXtbpp4yMjPOOa2xsxL///W90794dAHDzzTfjP//5D4qKiuDj44O+ffvi8ssvx7p163DbbbchOzsbS5YsQXZ2NqKiogAATzzxBFatWoUlS5bgn//8p+NukogcgokNEbkMLy8va1IDAOHh4UhISICPj0+rx4qLiwEA+/fvh9FoRK9evVqdx2AwIDg42DFBE5FDMbEhIpeh1WpbfS9J0gUfM5lMAIDq6mqo1Wrs3r0barW61XEtkyEiUg4mNkTkFHQ6XauiX1tITk6G0WhEcXExxo0bZ9NzE5Fz4qooInIKCQkJ2L59O7KyslBaWmoddemKXr164c4778Rdd92F77//HpmZmdixYwcWLlyIlStX2iBqInI2TGyIyCk88cQTUKvV6Nu3L0JDQ5GdnW2T8y5ZsgR33XUXHn/8cSQlJeGGG27Azp07ERcXZ5PzE5FzYedhIiIiUgyO2BAREZFiMLEhIiIixWBiQ0RERIrBxIaIiIgUg4kNERERKQYTGyIiIlIMJjZERESkGExsiIiISDGY2BAREZFiMLEhIiIixWBiQ0RERIrBxIaIiIgU4/8DDcNNcdhpoR4AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# dxg is an xarray. xarrays can carry ALL meta-data.\n",
    "dxg = waterinfo_read(g)\n",
    "# xarray can be mapped to pandas dataframe. NB all meta-data gets lost.\n",
    "dg0 = dxg[0].to_dataframe()\n",
    "dg0.plot()\n",
    "dxg[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## cross check two files: timezone correction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "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>data</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-05-07 12:00:00</th>\n",
       "      <td>-13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-07 12:10:00</th>\n",
       "      <td>-15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-07 12:20:00</th>\n",
       "      <td>-15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-07 12:30:00</th>\n",
       "      <td>-14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-07 12:40:00</th>\n",
       "      <td>-12.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     data\n",
       "time                     \n",
       "2020-05-07 12:00:00 -13.0\n",
       "2020-05-07 12:10:00 -15.0\n",
       "2020-05-07 12:20:00 -15.0\n",
       "2020-05-07 12:30:00 -14.0\n",
       "2020-05-07 12:40:00 -12.0"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df0['2020-05-07 12:00:00':'2020-05-07 12:40:00'] - df1['2020-05-07 12:00:00':'2020-05-07 12:40:00']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "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>data</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-05-07 12:00:00</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-07 12:10:00</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-07 12:20:00</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-07 12:30:00</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-07 12:40:00</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     data\n",
       "time                     \n",
       "2020-05-07 12:00:00   0.0\n",
       "2020-05-07 12:10:00   0.0\n",
       "2020-05-07 12:20:00   0.0\n",
       "2020-05-07 12:30:00   0.0\n",
       "2020-05-07 12:40:00   0.0"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# should be 0s\n",
    "df0['2020-05-07 12:00:00':'2020-05-07 12:40:00'] - dg0['2020-05-07 12:00:00':'2020-05-07 12:40:00']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "fig=plt.figure()\n",
    "fig.set_figwidth(20)\n",
    "plt.plot(df1.index,df1['data'],'g:',label=dxf[1].attrs['file.name']+'\\n'+dxf[1]['data'].attrs['GROOTHEID_ CODE'])\n",
    "plt.plot(df0.index,df0['data'],'r-',label=dxf[0].attrs['file.name']+'\\n'+dxf[0]['data'].attrs['GROOTHEID_ CODE'])\n",
    "plt.plot(dg0.index,dg0['data'],'b.',label=dxg[0].attrs['file.name']+'\\n'+dxg[0]['data'].attrs['Parameter'])\n",
    "plt.legend()\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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