data_processing.ipynb

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        "<a href=\"https://colab.research.google.com/github/mariajmolina/UMDAOSC650/blob/main/data_processing.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "source": [
        "# Data exploration, preprocessing, labels, and dimensionality reduction"
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      "cell_type": "markdown",
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        "In this notebook, we will be exploring a dummy dataset and demonstrating ways we can preprocess our data, add labels, and perform dimensionality reduction."
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      "source": [
        "First, we will import our python libraries."
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      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "import xarray as xr"
      ],
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        "id": "Sqm5E0yIjxJe"
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      "execution_count": 1,
      "outputs": []
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      "cell_type": "markdown",
      "source": [
        "Next, we will create some toy weather data to explore.\n",
        "\n",
        "Adapted from https://docs.xarray.dev/en/latest/examples/weather-data.html"
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        "# set a random seed for reproducibility\n",
        "np.random.seed(123)\n",
        "\n",
        "# create a fake time array and annual cycle\n",
        "times = pd.date_range(\"2000-01-01\", \"2001-12-31\", name=\"time\")\n",
        "annual_cycle = np.sin(2 * np.pi * (times.dayofyear.values / 365.25 - 0.28))\n",
        "base = 10 + 15 * annual_cycle.reshape(-1, 1)\n",
        "\n",
        "# create the maximum and minimum temperature arrays for the dummy data\n",
        "tmin_values = base + 3 * np.random.randn(annual_cycle.size, 3)\n",
        "tmax_values = base + 10 + 3 * np.random.randn(annual_cycle.size, 3)"
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      "source": [
        "# organize our data into an xarray dataset\n",
        "ds = xr.Dataset(\n",
        "    {\n",
        "        \"tmin\": ((\"time\", \"location\"), tmin_values),\n",
        "        \"tmax\": ((\"time\", \"location\"), tmax_values),\n",
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        "    {\"time\": times, \"location\": [\"IA\", \"IN\", \"IL\"]},\n",
        ")"
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      "execution_count": 3,
      "outputs": []
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      "source": [
        "# let's check out what the dataset looks like\n",
        "ds"
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              "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
              "Dimensions:   (time: 731, location: 3)\n",
              "Coordinates:\n",
              "  * time      (time) datetime64[ns] 2000-01-01 2000-01-02 ... 2001-12-31\n",
              "  * location  (location) &lt;U2 &#x27;IA&#x27; &#x27;IN&#x27; &#x27;IL&#x27;\n",
              "Data variables:\n",
              "    tmin      (time, location) float64 -8.037 -1.788 -3.932 ... -1.346 -4.544\n",
              "    tmax      (time, location) float64 12.98 3.31 6.779 ... 6.636 3.343 3.805</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-1f44512f-f063-4ff9-9905-ba8a37ba699d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1f44512f-f063-4ff9-9905-ba8a37ba699d' 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>: 731</li><li><span class='xr-has-index'>location</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-80d18012-a09b-4d46-b922-9db439e7525e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-80d18012-a09b-4d46-b922-9db439e7525e' class='xr-section-summary' >Coordinates: <span>(2)</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'>2000-01-01 ... 2001-12-31</div><input id='attrs-83130360-7c98-4c32-b41f-74f52e9d5506' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-83130360-7c98-4c32-b41f-74f52e9d5506' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c79b48a-428f-44a7-b3ee-e36783f1033e' class='xr-var-data-in' type='checkbox'><label for='data-3c79b48a-428f-44a7-b3ee-e36783f1033e' 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'></dl></div><div class='xr-var-data'><pre>array([&#x27;2000-01-01T00:00:00.000000000&#x27;, &#x27;2000-01-02T00:00:00.000000000&#x27;,\n",
              "       &#x27;2000-01-03T00:00:00.000000000&#x27;, ..., &#x27;2001-12-29T00:00:00.000000000&#x27;,\n",
              "       &#x27;2001-12-30T00:00:00.000000000&#x27;, &#x27;2001-12-31T00:00:00.000000000&#x27;],\n",
              "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>location</span></div><div class='xr-var-dims'>(location)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;IA&#x27; &#x27;IN&#x27; &#x27;IL&#x27;</div><input id='attrs-65e2a287-5dc7-4039-a7f1-407cba235fc8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-65e2a287-5dc7-4039-a7f1-407cba235fc8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76892ffa-3b04-42a3-8664-3299d786659e' class='xr-var-data-in' type='checkbox'><label for='data-76892ffa-3b04-42a3-8664-3299d786659e' 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'></dl></div><div class='xr-var-data'><pre>array([&#x27;IA&#x27;, &#x27;IN&#x27;, &#x27;IL&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fa7bc15b-3c0d-4eee-a51b-1191bc17ca78' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fa7bc15b-3c0d-4eee-a51b-1191bc17ca78' class='xr-section-summary' >Data variables: <span>(2)</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>tmin</span></div><div class='xr-var-dims'>(time, location)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.037 -1.788 ... -1.346 -4.544</div><input id='attrs-af73f41a-bb97-4bac-91d4-59120793aaf5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-af73f41a-bb97-4bac-91d4-59120793aaf5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9cc920c-8ac3-4a53-a7fc-36638b95c0e1' class='xr-var-data-in' type='checkbox'><label for='data-e9cc920c-8ac3-4a53-a7fc-36638b95c0e1' 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'></dl></div><div class='xr-var-data'><pre>array([[ -8.03736932,  -1.78844117,  -3.93154201],\n",
              "       [ -9.34115662,  -6.55807323,   0.13203714],\n",
              "       [-12.13971902,  -6.14641918,  -1.06187252],\n",
              "       ...,\n",
              "       [ -5.34723825, -13.37459826,  -4.93221199],\n",
              "       [ -2.67283594,  -5.18072141,  -4.11567869],\n",
              "       [  2.06327582,  -1.34576404,  -4.54392729]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tmax</span></div><div class='xr-var-dims'>(time, location)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>12.98 3.31 6.779 ... 3.343 3.805</div><input id='attrs-556c0844-f650-4c83-8b7d-30ba89711500' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-556c0844-f650-4c83-8b7d-30ba89711500' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37061b79-1838-4ec7-9454-3e1334381aa2' class='xr-var-data-in' type='checkbox'><label for='data-37061b79-1838-4ec7-9454-3e1334381aa2' 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'></dl></div><div class='xr-var-data'><pre>array([[12.98054898,  3.31040942,  6.77855382],\n",
              "       [ 0.44785582,  6.37271154,  4.8434966 ],\n",
              "       [ 5.32269851,  6.25176289,  5.98033045],\n",
              "       ...,\n",
              "       [ 6.73078492,  7.74795302,  8.04569651],\n",
              "       [ 6.46376911,  6.31695352,  1.55799171],\n",
              "       [ 6.63593435,  3.34271537,  3.80527925]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-59f57169-441c-4b5c-a920-1ea8c147bbc0' class='xr-section-summary-in' type='checkbox'  ><label for='section-59f57169-441c-4b5c-a920-1ea8c147bbc0' class='xr-section-summary' >Indexes: <span>(2)</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-75faec1b-271d-4f9c-bd59-ee4437f855d2' class='xr-index-data-in' type='checkbox'/><label for='index-75faec1b-271d-4f9c-bd59-ee4437f855d2' 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;2000-01-01&#x27;, &#x27;2000-01-02&#x27;, &#x27;2000-01-03&#x27;, &#x27;2000-01-04&#x27;,\n",
              "               &#x27;2000-01-05&#x27;, &#x27;2000-01-06&#x27;, &#x27;2000-01-07&#x27;, &#x27;2000-01-08&#x27;,\n",
              "               &#x27;2000-01-09&#x27;, &#x27;2000-01-10&#x27;,\n",
              "               ...\n",
              "               &#x27;2001-12-22&#x27;, &#x27;2001-12-23&#x27;, &#x27;2001-12-24&#x27;, &#x27;2001-12-25&#x27;,\n",
              "               &#x27;2001-12-26&#x27;, &#x27;2001-12-27&#x27;, &#x27;2001-12-28&#x27;, &#x27;2001-12-29&#x27;,\n",
              "               &#x27;2001-12-30&#x27;, &#x27;2001-12-31&#x27;],\n",
              "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=731, freq=&#x27;D&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>location</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5479fa8c-a6e8-4c34-92d6-0f449cdb9adf' class='xr-index-data-in' type='checkbox'/><label for='index-5479fa8c-a6e8-4c34-92d6-0f449cdb9adf' 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(Index([&#x27;IA&#x27;, &#x27;IN&#x27;, &#x27;IL&#x27;], dtype=&#x27;object&#x27;, name=&#x27;location&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3960804d-c5e0-4758-acf3-8745771ecae1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3960804d-c5e0-4758-acf3-8745771ecae1' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
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      "execution_count": 5,
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          "height": 270
        },
        "id": "Jgu94rIkjeuT",
        "outputId": "d4f7df31-94b0-4dab-d715-98a4098929ec"
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              "<xarray.Dataset>\n",
              "Dimensions:   (time: 731)\n",
              "Coordinates:\n",
              "  * time      (time) datetime64[ns] 2000-01-01 2000-01-02 ... 2001-12-31\n",
              "    location  <U2 'IN'\n",
              "Data variables:\n",
              "    tmin      (time) float64 -1.788 -6.558 -6.146 ... -13.37 -5.181 -1.346\n",
              "    tmax      (time) float64 3.31 6.373 6.252 3.957 ... 8.625 7.748 6.317 3.343"
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              "  margin: 0;\n",
              "  display: grid;\n",
              "  grid-template-columns: 125px auto;\n",
              "}\n",
              "\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",
              "}\n",
              "\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",
              "}\n",
              "\n",
              ".xr-attrs dd {\n",
              "  grid-column: 2;\n",
              "  white-space: pre-wrap;\n",
              "  word-break: break-all;\n",
              "}\n",
              "\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",
              "}\n",
              "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
              "Dimensions:   (time: 731)\n",
              "Coordinates:\n",
              "  * time      (time) datetime64[ns] 2000-01-01 2000-01-02 ... 2001-12-31\n",
              "    location  &lt;U2 &#x27;IN&#x27;\n",
              "Data variables:\n",
              "    tmin      (time) float64 -1.788 -6.558 -6.146 ... -13.37 -5.181 -1.346\n",
              "    tmax      (time) float64 3.31 6.373 6.252 3.957 ... 8.625 7.748 6.317 3.343</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-23570229-9a43-4350-a6bc-5d79b921e640' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-23570229-9a43-4350-a6bc-5d79b921e640' 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>: 731</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f10c3dae-75fc-4996-b399-9797197d288c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f10c3dae-75fc-4996-b399-9797197d288c' class='xr-section-summary' >Coordinates: <span>(2)</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'>2000-01-01 ... 2001-12-31</div><input id='attrs-59fb52e9-3d76-424a-bbb1-04a890e2ef2d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-59fb52e9-3d76-424a-bbb1-04a890e2ef2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9adf1718-e490-435e-a448-c275c6b1ac9a' class='xr-var-data-in' type='checkbox'><label for='data-9adf1718-e490-435e-a448-c275c6b1ac9a' 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'></dl></div><div class='xr-var-data'><pre>array([&#x27;2000-01-01T00:00:00.000000000&#x27;, &#x27;2000-01-02T00:00:00.000000000&#x27;,\n",
              "       &#x27;2000-01-03T00:00:00.000000000&#x27;, ..., &#x27;2001-12-29T00:00:00.000000000&#x27;,\n",
              "       &#x27;2001-12-30T00:00:00.000000000&#x27;, &#x27;2001-12-31T00:00:00.000000000&#x27;],\n",
              "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>location</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;IN&#x27;</div><input id='attrs-dfdc9794-2308-4727-ba53-19611e010afc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dfdc9794-2308-4727-ba53-19611e010afc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74f29829-4e5a-4e44-bdb6-05aa64c7974a' class='xr-var-data-in' type='checkbox'><label for='data-74f29829-4e5a-4e44-bdb6-05aa64c7974a' 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'></dl></div><div class='xr-var-data'><pre>array(&#x27;IN&#x27;, dtype=&#x27;&lt;U2&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9a10d89f-c0e6-4d42-8b27-ca94e63be730' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9a10d89f-c0e6-4d42-8b27-ca94e63be730' class='xr-section-summary' >Data variables: <span>(2)</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>tmin</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.788 -6.558 ... -5.181 -1.346</div><input id='attrs-a988d254-b8eb-4188-8c3e-966e71a33659' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a988d254-b8eb-4188-8c3e-966e71a33659' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d51d0c4d-c41f-424c-8b41-3a138457178e' class='xr-var-data-in' type='checkbox'><label for='data-d51d0c4d-c41f-424c-8b41-3a138457178e' 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'></dl></div><div class='xr-var-data'><pre>array([-1.78844117e+00, -6.55807323e+00, -6.14641918e+00, -6.92935135e+00,\n",
              "       -6.83800349e+00,  1.67230359e+00, -3.80669402e+00, -7.78809291e+00,\n",
              "       -6.90475090e+00, -5.41817142e+00, -1.33957633e+01, -2.21520068e+00,\n",
              "       -2.92607381e+00, -7.39555945e+00, -3.24232761e+00,  2.23349332e+00,\n",
              "        1.79539231e+00,  3.41078521e-01, -1.64872449e+00, -3.31957893e-01,\n",
              "       -2.39213506e+00, -4.78286020e-01, -5.37856054e+00, -3.21872435e+00,\n",
              "       -7.85608072e+00, -5.71068970e+00, -9.25030892e+00,  6.22878563e-01,\n",
              "       -7.54099502e+00,  2.05897000e+00, -7.91930577e+00, -5.03298394e+00,\n",
              "       -8.02491722e+00, -1.91076601e+00,  4.05964879e+00, -3.09088298e+00,\n",
              "       -8.33599590e+00, -5.61165205e+00, -2.45204608e+00,  2.71163012e+00,\n",
              "       -4.69736717e+00,  1.91444996e+00, -1.27916174e+00, -5.63332449e+00,\n",
              "       -1.53553748e+00, -4.00300049e+00, -3.27001716e+00,  1.74561005e+00,\n",
              "       -2.53722767e+00, -2.46117338e+00, -7.28695994e-01, -4.47311563e+00,\n",
              "       -2.83707483e+00, -1.01167629e+00,  1.21650137e+00,  3.85299848e+00,\n",
              "       -1.35908294e+00, -2.57311716e+00,  4.25339257e+00, -1.14596745e+00,\n",
              "        4.60189792e+00, -1.22566501e+00, -2.31394568e+00,  1.35454612e+00,\n",
              "        6.50073129e-01,  4.28658132e-01,  7.93405217e-01,  8.26258660e+00,\n",
              "        1.25619749e+00,  1.80868485e+00,  4.05380930e+00,  5.30153766e-01,\n",
              "        3.87125037e+00, -7.77542749e-01,  2.13368974e+00,  8.53465665e-01,\n",
              "        4.05502144e+00,  3.17736703e+00,  2.85207523e+00,  6.17527574e+00,\n",
              "...\n",
              "        8.06484940e+00,  7.85063402e+00,  1.13750760e+01,  6.79738013e+00,\n",
              "        1.29536976e+01,  8.65920909e+00,  1.26134845e+01,  4.68535927e+00,\n",
              "        1.11317043e+01,  5.19137708e+00,  7.45693050e+00,  3.40576492e+00,\n",
              "        8.49399101e+00,  2.78630570e+00,  5.93799176e+00,  8.93847433e+00,\n",
              "        4.06109319e+00,  2.76982004e-01,  8.51098991e+00,  4.34563171e+00,\n",
              "        6.43733710e+00,  8.94517723e+00,  6.37924943e+00,  4.99332617e+00,\n",
              "        6.02845096e+00,  6.23758523e-01,  3.49895102e+00, -2.77298028e+00,\n",
              "        4.50672070e+00,  1.29324608e+00, -3.10732916e-01,  7.27743591e-01,\n",
              "        5.47200450e+00,  1.68110251e+00, -1.64743701e+00,  7.41398390e+00,\n",
              "       -1.98082591e+00,  6.94701224e+00,  3.33896803e+00, -3.07766697e-02,\n",
              "        2.30636413e+00, -2.27885094e+00, -3.31645386e+00,  2.98234409e+00,\n",
              "        5.20842033e-01,  4.16658767e+00,  4.21907922e+00,  3.39092411e+00,\n",
              "       -1.53374686e+00,  3.14941301e+00, -5.75452648e+00, -2.43642252e+00,\n",
              "        4.85233654e-01, -1.27676501e+00, -7.26237067e-01, -4.53147776e+00,\n",
              "        3.15214815e+00, -3.41670453e+00, -9.77757424e-01, -1.60159841e+00,\n",
              "       -5.65740393e+00,  2.69635910e+00, -7.49450346e+00, -5.87475054e-02,\n",
              "       -1.26550449e+00,  8.54043342e-01, -5.61560229e+00, -5.77983063e+00,\n",
              "       -1.52417636e+00, -7.66510233e+00, -4.15930054e+00, -3.03612367e+00,\n",
              "       -6.05203489e+00, -8.23142396e+00, -3.78742573e+00, -8.69122466e+00,\n",
              "       -1.33745983e+01, -5.18072141e+00, -1.34576404e+00])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tmax</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.31 6.373 6.252 ... 6.317 3.343</div><input id='attrs-af4f6752-2741-4cb5-8a3d-a4b6b539e2b7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-af4f6752-2741-4cb5-8a3d-a4b6b539e2b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb4efc39-6754-42be-b4bf-3ffad9d8ca57' class='xr-var-data-in' type='checkbox'><label for='data-eb4efc39-6754-42be-b4bf-3ffad9d8ca57' 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'></dl></div><div class='xr-var-data'><pre>array([ 3.31040942,  6.37271154,  6.25176289,  3.9572717 ,  7.48641085,\n",
              "        3.47137384,  6.05243338,  0.55768489, -0.78913849, -0.04331101,\n",
              "        2.54255598,  6.36953792,  4.00745783,  5.9606563 ,  5.38603047,\n",
              "        9.49132853,  8.80971598,  3.46460581,  0.76207508,  7.00120496,\n",
              "        6.42479006,  7.46356305,  6.97832769,  5.39245332,  5.15996168,\n",
              "        5.07812372,  5.07356578,  4.54399639,  7.91663177,  7.38050381,\n",
              "        9.62359966,  2.25317913,  7.89479814,  5.63731676,  8.30192989,\n",
              "        8.78301157,  3.78382414,  3.53708047,  7.38917462,  7.69791758,\n",
              "        2.20616584,  2.42169603,  9.33823099,  8.93167298,  7.84921109,\n",
              "        7.40473828,  6.28653187,  4.12429938,  8.01024805,  9.08295342,\n",
              "       11.37597564,  8.58381209,  9.87647697, 10.07433439, 12.04544757,\n",
              "        5.12690198,  9.86588162,  6.90433069,  9.46593597,  8.24079737,\n",
              "       10.59270243,  9.01342544, 11.88060623,  8.08043938, 14.13235756,\n",
              "        6.34143989, 15.89840608,  7.4425975 , 14.91718168, 13.75480399,\n",
              "        9.90740176, 10.96701706, 11.75941568, 13.95322613, 11.83457614,\n",
              "       13.30888864, 14.02215863, 13.98058175, 16.32090186, 12.97292813,\n",
              "       17.77641686, 15.86759602, 17.99277932, 10.20388286, 19.27849551,\n",
              "       13.13003495, 17.48586972, 13.74084751, 13.88274284, 12.27464324,\n",
              "       15.71563001, 20.19139081, 23.27177042, 15.91125863, 24.64511464,\n",
              "       13.65176383, 21.76530109, 13.31389604, 19.74020528, 19.47695937,\n",
              "...\n",
              "       18.63913888, 26.2410351 , 21.59308838, 19.96768831, 21.73182057,\n",
              "       19.03212843, 26.80395776, 19.45497312, 18.1723281 , 24.081998  ,\n",
              "       18.32366009, 14.57484433, 19.68322746, 22.48148284, 25.47815013,\n",
              "       25.59463043, 19.64998705, 18.50686562, 18.49163551, 19.21915506,\n",
              "       21.52383508, 22.98267912, 20.48408812, 17.82637042, 19.2910008 ,\n",
              "       15.0361997 , 15.97422715, 17.19535413, 18.96164681, 18.82680733,\n",
              "       18.2895479 , 10.75400273, 11.45085408, 20.0420917 , 16.42402965,\n",
              "       18.06628246, 10.27700703, 15.92258791, 17.44941158, 16.91597567,\n",
              "       10.75892297, 16.72662335, 12.82544167, 15.36659669, 12.87485881,\n",
              "       12.78578793, 13.16606306, 10.05677121, 10.59410666, 10.37874282,\n",
              "       13.06664344, 15.13840304, 13.47693768,  9.58816195,  7.70145223,\n",
              "       12.45279446, 14.50708974,  5.11765976,  6.59245017, 12.36618316,\n",
              "        8.54755706, 13.0565327 , 14.37660766,  8.41522811,  8.51767698,\n",
              "        6.0936362 ,  7.61849192, 15.18770835,  5.98522422, 15.139319  ,\n",
              "        4.44968635,  6.16549282,  3.77084372,  0.87375908,  6.57806858,\n",
              "        3.76944791, 12.66725897,  4.09472136,  2.64967191, 10.43901378,\n",
              "        8.39840463,  9.8182373 ,  6.72220145,  5.59617646, 13.10892452,\n",
              "        6.37880816, 10.07589379,  6.44903986,  3.95976883,  1.29357568,\n",
              "        7.39385231,  4.27152562,  8.6249544 ,  7.74795302,  6.31695352,\n",
              "        3.34271537])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ade9d7ee-c31e-4119-bd10-466789300449' class='xr-section-summary-in' type='checkbox'  ><label for='section-ade9d7ee-c31e-4119-bd10-466789300449' 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-4a146000-63b3-4e46-b984-e4d00d5e05e2' class='xr-index-data-in' type='checkbox'/><label for='index-4a146000-63b3-4e46-b984-e4d00d5e05e2' 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;2000-01-01&#x27;, &#x27;2000-01-02&#x27;, &#x27;2000-01-03&#x27;, &#x27;2000-01-04&#x27;,\n",
              "               &#x27;2000-01-05&#x27;, &#x27;2000-01-06&#x27;, &#x27;2000-01-07&#x27;, &#x27;2000-01-08&#x27;,\n",
              "               &#x27;2000-01-09&#x27;, &#x27;2000-01-10&#x27;,\n",
              "               ...\n",
              "               &#x27;2001-12-22&#x27;, &#x27;2001-12-23&#x27;, &#x27;2001-12-24&#x27;, &#x27;2001-12-25&#x27;,\n",
              "               &#x27;2001-12-26&#x27;, &#x27;2001-12-27&#x27;, &#x27;2001-12-28&#x27;, &#x27;2001-12-29&#x27;,\n",
              "               &#x27;2001-12-30&#x27;, &#x27;2001-12-31&#x27;],\n",
              "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=731, freq=&#x27;D&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-51226b1c-fb9d-4cc7-8b05-13bdc5955aff' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-51226b1c-fb9d-4cc7-8b05-13bdc5955aff' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ],
      "source": [
        "# we can select a location using the location string\n",
        "ds.sel(location=\"IN\")"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# if we prefer a pandas dataframe, we can easily convert\n",
        "df = ds.to_dataframe()\n",
        "df.head() # few first few rows"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 237
        },
        "id": "ixkAqRZik1C5",
        "outputId": "5961b984-4850-4ab7-ec04-57378dc3e3ad"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                         tmin       tmax\n",
              "time       location                     \n",
              "2000-01-01 IA       -8.037369  12.980549\n",
              "           IN       -1.788441   3.310409\n",
              "           IL       -3.931542   6.778554\n",
              "2000-01-02 IA       -9.341157   0.447856\n",
              "           IN       -6.558073   6.372712"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-1186ff37-a0cd-4576-a6a5-81d84e834841\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th>tmin</th>\n",
              "      <th>tmax</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>time</th>\n",
              "      <th>location</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th rowspan=\"3\" valign=\"top\">2000-01-01</th>\n",
              "      <th>IA</th>\n",
              "      <td>-8.037369</td>\n",
              "      <td>12.980549</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IN</th>\n",
              "      <td>-1.788441</td>\n",
              "      <td>3.310409</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IL</th>\n",
              "      <td>-3.931542</td>\n",
              "      <td>6.778554</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"2\" valign=\"top\">2000-01-02</th>\n",
              "      <th>IA</th>\n",
              "      <td>-9.341157</td>\n",
              "      <td>0.447856</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IN</th>\n",
              "      <td>-6.558073</td>\n",
              "      <td>6.372712</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1186ff37-a0cd-4576-a6a5-81d84e834841')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-1186ff37-a0cd-4576-a6a5-81d84e834841 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-1186ff37-a0cd-4576-a6a5-81d84e834841');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-37119537-91cf-4297-bcad-87608c5e1903\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-37119537-91cf-4297-bcad-87608c5e1903')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-37119537-91cf-4297-bcad-87608c5e1903 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 2193,\n  \"fields\": [\n    {\n      \"column\": \"tmin\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 10.963227937520378,\n        \"min\": -13.395763307545232,\n        \"max\": 33.45605975961401,\n        \"num_unique_values\": 2193,\n        \"samples\": [\n          12.507246991525301,\n          26.151135610386014,\n          -5.043640418109526\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"tmax\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 11.010569271450175,\n        \"min\": -3.5062339819630566,\n        \"max\": 43.27114833504708,\n        \"num_unique_values\": 2193,\n        \"samples\": [\n          29.393522551204374,\n          34.55936466621753,\n          4.726527209357869\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Data exploration section"
      ],
      "metadata": {
        "id": "jKOfmXMfk-vq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# lets view some simple statistics of tmin for each location\n",
        "# we can group by location to more easily generate the stats\n",
        "df['tmin'].groupby('location').describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        },
        "id": "By2I2raNk6Ar",
        "outputId": "102331fa-7697-4e0a-c123-4d04409b1ade"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          count      mean        std        min       25%        50%  \\\n",
              "location                                                               \n",
              "IA        731.0  9.987331  11.059691 -12.139719 -0.240696   9.848525   \n",
              "IL        731.0  9.944072  10.962443 -13.306257  0.120231   9.513720   \n",
              "IN        731.0  9.994876  10.881773 -13.395763  0.251514  10.452639   \n",
              "\n",
              "                75%        max  \n",
              "location                        \n",
              "IA        20.157608  30.680877  \n",
              "IL        20.417048  32.653637  \n",
              "IN        19.676184  33.456060  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-d9819e5e-ff82-42fa-aee6-00559664b59c\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>count</th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "      <th>min</th>\n",
              "      <th>25%</th>\n",
              "      <th>50%</th>\n",
              "      <th>75%</th>\n",
              "      <th>max</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>location</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>IA</th>\n",
              "      <td>731.0</td>\n",
              "      <td>9.987331</td>\n",
              "      <td>11.059691</td>\n",
              "      <td>-12.139719</td>\n",
              "      <td>-0.240696</td>\n",
              "      <td>9.848525</td>\n",
              "      <td>20.157608</td>\n",
              "      <td>30.680877</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IL</th>\n",
              "      <td>731.0</td>\n",
              "      <td>9.944072</td>\n",
              "      <td>10.962443</td>\n",
              "      <td>-13.306257</td>\n",
              "      <td>0.120231</td>\n",
              "      <td>9.513720</td>\n",
              "      <td>20.417048</td>\n",
              "      <td>32.653637</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IN</th>\n",
              "      <td>731.0</td>\n",
              "      <td>9.994876</td>\n",
              "      <td>10.881773</td>\n",
              "      <td>-13.395763</td>\n",
              "      <td>0.251514</td>\n",
              "      <td>10.452639</td>\n",
              "      <td>19.676184</td>\n",
              "      <td>33.456060</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d9819e5e-ff82-42fa-aee6-00559664b59c')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-d9819e5e-ff82-42fa-aee6-00559664b59c button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-d9819e5e-ff82-42fa-aee6-00559664b59c');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
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              "  </div>\n",
              "\n",
              "\n",
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              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-65c9d384-23c9-4576-a9f8-7f4064391664')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
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              "  }\n",
              "\n",
              "  @keyframes spin {\n",
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              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-65c9d384-23c9-4576-a9f8-7f4064391664 button');\n",
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              "summary": "{\n  \"name\": \"df['tmin']\",\n  \"rows\": 3,\n  \"fields\": [\n    {\n      \"column\": \"count\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 731.0,\n        \"max\": 731.0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          731.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"mean\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.027414660661868488,\n        \"min\": 9.944071837786097,\n        \"max\": 9.994876244093284,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          9.987331114676643\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"std\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.08908774302544435,\n        \"min\": 10.881772537954502,\n        \"max\": 11.059690779059597,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          11.059690779059597\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"min\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.7007697571633442,\n        \"min\": -13.395763307545232,\n        \"max\": -12.139719023182007,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          -12.139719023182007\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"25%\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.254877261876125,\n        \"min\": -0.2406963416856167,\n        \"max\": 0.2515139480157753,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          -0.2406963416856167\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"50%\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.47585274586241816,\n        \"min\": 9.513720363419477,\n        \"max\": 10.452638668649964,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          9.848525071950087\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"75%\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.3759336534601463,\n        \"min\": 19.6761843308598,\n        \"max\": 20.417047855276245,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          20.157608273214258\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"max\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.4281283930784454,\n        \"min\": 30.680876890441397,\n        \"max\": 33.45605975961401,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          30.680876890441397\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# now create simple stats for the tmax of each location\n",
        "df['tmax'].groupby('location').describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        },
        "id": "RyALBRkYlLHc",
        "outputId": "01985ec3-8c7d-47ef-9423-19a5ca6edede"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          count       mean        std       min        25%        50%  \\\n",
              "location                                                                \n",
              "IA        731.0  20.211219  10.993532 -3.506234  10.078566  20.007206   \n",
              "IL        731.0  20.070548  11.064046 -1.851260   9.514875  19.945249   \n",
              "IN        731.0  20.042930  10.988307 -1.272768   9.605881  19.967688   \n",
              "\n",
              "                75%        max  \n",
              "location                        \n",
              "IA        30.019746  42.087925  \n",
              "IL        29.984625  43.271148  \n",
              "IN        30.247060  41.933784  "
            ],
            "text/html": [
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              "    <tr>\n",
              "      <th>IA</th>\n",
              "      <td>731.0</td>\n",
              "      <td>20.211219</td>\n",
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              "      <td>10.078566</td>\n",
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              "      <td>30.019746</td>\n",
              "      <td>42.087925</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IL</th>\n",
              "      <td>731.0</td>\n",
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              "      <td>43.271148</td>\n",
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              "    <tr>\n",
              "      <th>IN</th>\n",
              "      <td>731.0</td>\n",
              "      <td>20.042930</td>\n",
              "      <td>10.988307</td>\n",
              "      <td>-1.272768</td>\n",
              "      <td>9.605881</td>\n",
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              "      <td>41.933784</td>\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "        document.querySelector('#df-d7b9c92b-4f8f-4e9e-a58e-420d7ecb8bf9 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-d7b9c92b-4f8f-4e9e-a58e-420d7ecb8bf9');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "\n",
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              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
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              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    background-color: var(--disabled-bg-color);\n",
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              "\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "      border-left-color: var(--fill-color);\n",
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              "      border-top-color: var(--fill-color);\n",
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              "      border-right-color: var(--fill-color);\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "      border-bottom-color: var(--fill-color);\n",
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              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
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              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df['tmax']\",\n  \"rows\": 3,\n  \"fields\": [\n    {\n      \"column\": \"count\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 731.0,\n        \"max\": 731.0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          731.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"mean\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.09025151136865893,\n        \"min\": 20.042930081204396,\n        \"max\": 20.211218503369558,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          20.211218503369558\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"std\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.04230051914196504,\n        \"min\": 10.98830681391717,\n        \"max\": 11.064046010278215,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          10.993531621395705\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"min\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.1591634858095483,\n        \"min\": -3.5062339819630566,\n        \"max\": -1.272768381706669,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          -3.5062339819630566\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"25%\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.3026165834219971,\n        \"min\": 9.514875058762353,\n        \"max\": 10.078565982310948,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          10.078565982310948\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"50%\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.03136830232176238,\n        \"min\": 19.94524927453,\n        \"max\": 20.00720614022287,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          20.00720614022287\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"75%\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.1424648460991977,\n        \"min\": 29.984625220773296,\n        \"max\": 30.247060112716156,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          30.019745618192708\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"max\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.7317010783610665,\n        \"min\": 41.93378433523895,\n        \"max\": 43.27114833504708,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          42.08792522576774\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# lets take the mean of all locations and plot the time series\n",
        "ds.mean(dim=\"location\").to_dataframe().plot()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "DrPWwAIjlQVG",
        "outputId": "8962de52-7dfc-4e66-f184-b02116d26149"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# we can also plot the time series for each location\n",
        "ds.sel(location='IA').to_dataframe().plot()\n",
        "plt.show()\n",
        "\n",
        "ds.sel(location='IL').to_dataframe().plot()\n",
        "plt.show()\n",
        "\n",
        "ds.sel(location='IN').to_dataframe().plot()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "ukkr4ruolY-c",
        "outputId": "9b0ad5d1-ec4a-449b-887c-565cade21eec"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# we may be interested in the number of times certain\n",
        "# temperatures occur, which we can view with a histogram\n",
        "# here we are viewing this just for Iowa and tmin\n",
        "ds.sel(location='IA')['tmin'].to_dataframe().plot.hist(\n",
        "    edgecolor='w', bins=100)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 447
        },
        "id": "MHWK4AUBlcxZ",
        "outputId": "57ec94da-0b4b-438e-b783-57ecc03a0c3a"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: ylabel='Frequency'>"
            ]
          },
          "metadata": {},
          "execution_count": 11
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# the number of bins can be modified too\n",
        "# Iowa's tmin\n",
        "ds.sel(location='IA')['tmin'].to_dataframe().plot.hist(\n",
        "    edgecolor='w', bins=10)\n",
        "plt.show()\n",
        "# Iowa's tmax\n",
        "ds.sel(location='IA')['tmax'].to_dataframe().plot.hist(\n",
        "    edgecolor='w', bins=10)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 843
        },
        "id": "4qxKGHaRlpP-",
        "outputId": "1be74849-a682-4da6-e473-53bdb1675a2a"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# we can also view how tmin and tmax are related using a scatterplot\n",
        "plt.scatter(ds['tmin'], ds['tmax'], edgecolor='grey')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 430
        },
        "id": "9RS2RwCdl706",
        "outputId": "2db37d04-3d80-40ce-b2cd-973f91482b2d"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# probability of a freeze by calendar month\n",
        "freeze = (ds[\"tmin\"] <= 0).groupby(\"time.month\").mean(\"time\")\n",
        "freeze"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 385
        },
        "id": "z6ps_fU9mG_R",
        "outputId": "5dcad724-092c-46ee-e02f-825c1456d537"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<xarray.DataArray 'tmin' (month: 12, location: 3)>\n",
              "array([[0.9516129 , 0.88709677, 0.93548387],\n",
              "       [0.84210526, 0.71929825, 0.77192982],\n",
              "       [0.24193548, 0.12903226, 0.16129032],\n",
              "       [0.        , 0.        , 0.        ],\n",
              "       [0.        , 0.        , 0.        ],\n",
              "       [0.        , 0.        , 0.        ],\n",
              "       [0.        , 0.        , 0.        ],\n",
              "       [0.        , 0.        , 0.        ],\n",
              "       [0.        , 0.        , 0.        ],\n",
              "       [0.        , 0.01612903, 0.        ],\n",
              "       [0.33333333, 0.35      , 0.23333333],\n",
              "       [0.93548387, 0.85483871, 0.82258065]])\n",
              "Coordinates:\n",
              "  * location  (location) <U2 'IA' 'IN' 'IL'\n",
              "  * month     (month) int64 1 2 3 4 5 6 7 8 9 10 11 12"
            ],
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              "\n",
              ".xr-section-item input:enabled + label:hover {\n",
              "  color: var(--xr-font-color0);\n",
              "}\n",
              "\n",
              ".xr-section-summary {\n",
              "  grid-column: 1;\n",
              "  color: var(--xr-font-color2);\n",
              "  font-weight: 500;\n",
              "}\n",
              "\n",
              ".xr-section-summary > span {\n",
              "  display: inline-block;\n",
              "  padding-left: 0.5em;\n",
              "}\n",
              "\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",
              "}\n",
              "\n",
              ".xr-dim-list {\n",
              "  display: inline-block !important;\n",
              "  list-style: none;\n",
              "  padding: 0 !important;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list li {\n",
              "  display: inline-block;\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list:before {\n",
              "  content: '(';\n",
              "}\n",
              "\n",
              ".xr-dim-list:after {\n",
              "  content: ')';\n",
              "}\n",
              "\n",
              ".xr-dim-list li:not(:last-child):after {\n",
              "  content: ',';\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-has-index {\n",
              "  font-weight: bold;\n",
              "}\n",
              "\n",
              ".xr-var-list,\n",
              ".xr-var-item {\n",
              "  display: contents;\n",
              "}\n",
              "\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",
              "  margin-bottom: 0;\n",
              "}\n",
              "\n",
              ".xr-var-item > .xr-var-name:hover span {\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-var-list > li:nth-child(odd) > div,\n",
              ".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",
              "}\n",
              "\n",
              ".xr-var-name {\n",
              "  grid-column: 1;\n",
              "}\n",
              "\n",
              ".xr-var-dims {\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-var-dtype {\n",
              "  grid-column: 3;\n",
              "  text-align: right;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-var-preview {\n",
              "  grid-column: 4;\n",
              "}\n",
              "\n",
              ".xr-index-preview {\n",
              "  grid-column: 2 / 5;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-var-name,\n",
              ".xr-var-dims,\n",
              ".xr-var-dtype,\n",
              ".xr-preview,\n",
              ".xr-attrs dt {\n",
              "  white-space: nowrap;\n",
              "  overflow: hidden;\n",
              "  text-overflow: ellipsis;\n",
              "  padding-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-var-name:hover,\n",
              ".xr-var-dims:hover,\n",
              ".xr-var-dtype:hover,\n",
              ".xr-attrs dt:hover {\n",
              "  overflow: visible;\n",
              "  width: auto;\n",
              "  z-index: 1;\n",
              "}\n",
              "\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",
              "}\n",
              "\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",
              "}\n",
              "\n",
              "dl.xr-attrs {\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "  display: grid;\n",
              "  grid-template-columns: 125px auto;\n",
              "}\n",
              "\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",
              "}\n",
              "\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",
              "}\n",
              "\n",
              ".xr-attrs dd {\n",
              "  grid-column: 2;\n",
              "  white-space: pre-wrap;\n",
              "  word-break: break-all;\n",
              "}\n",
              "\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",
              "}\n",
              "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;tmin&#x27; (month: 12, location: 3)&gt;\n",
              "array([[0.9516129 , 0.88709677, 0.93548387],\n",
              "       [0.84210526, 0.71929825, 0.77192982],\n",
              "       [0.24193548, 0.12903226, 0.16129032],\n",
              "       [0.        , 0.        , 0.        ],\n",
              "       [0.        , 0.        , 0.        ],\n",
              "       [0.        , 0.        , 0.        ],\n",
              "       [0.        , 0.        , 0.        ],\n",
              "       [0.        , 0.        , 0.        ],\n",
              "       [0.        , 0.        , 0.        ],\n",
              "       [0.        , 0.01612903, 0.        ],\n",
              "       [0.33333333, 0.35      , 0.23333333],\n",
              "       [0.93548387, 0.85483871, 0.82258065]])\n",
              "Coordinates:\n",
              "  * location  (location) &lt;U2 &#x27;IA&#x27; &#x27;IN&#x27; &#x27;IL&#x27;\n",
              "  * month     (month) int64 1 2 3 4 5 6 7 8 9 10 11 12</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tmin'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>month</span>: 12</li><li><span class='xr-has-index'>location</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e999eda7-a607-4a15-b541-db0c9f01ce96' class='xr-array-in' type='checkbox' checked><label for='section-e999eda7-a607-4a15-b541-db0c9f01ce96' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.9516 0.8871 0.9355 0.8421 0.7193 ... 0.2333 0.9355 0.8548 0.8226</span></div><div class='xr-array-data'><pre>array([[0.9516129 , 0.88709677, 0.93548387],\n",
              "       [0.84210526, 0.71929825, 0.77192982],\n",
              "       [0.24193548, 0.12903226, 0.16129032],\n",
              "       [0.        , 0.        , 0.        ],\n",
              "       [0.        , 0.        , 0.        ],\n",
              "       [0.        , 0.        , 0.        ],\n",
              "       [0.        , 0.        , 0.        ],\n",
              "       [0.        , 0.        , 0.        ],\n",
              "       [0.        , 0.        , 0.        ],\n",
              "       [0.        , 0.01612903, 0.        ],\n",
              "       [0.33333333, 0.35      , 0.23333333],\n",
              "       [0.93548387, 0.85483871, 0.82258065]])</pre></div></div></li><li class='xr-section-item'><input id='section-6523d7d3-783b-40ee-8107-71d5c2b69ab4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6523d7d3-783b-40ee-8107-71d5c2b69ab4' class='xr-section-summary' >Coordinates: <span>(2)</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'>location</span></div><div class='xr-var-dims'>(location)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;IA&#x27; &#x27;IN&#x27; &#x27;IL&#x27;</div><input id='attrs-1d9879e4-6960-4ece-b43a-4b26b5fd28e4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1d9879e4-6960-4ece-b43a-4b26b5fd28e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85415d0b-cf7a-4d59-8579-6067329655cd' class='xr-var-data-in' type='checkbox'><label for='data-85415d0b-cf7a-4d59-8579-6067329655cd' 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'></dl></div><div class='xr-var-data'><pre>array([&#x27;IA&#x27;, &#x27;IN&#x27;, &#x27;IL&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-443e8bcf-3f6f-42c8-be44-743ccc817e56' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-443e8bcf-3f6f-42c8-be44-743ccc817e56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5abfc4a5-6a7c-4412-aab5-d25eb286c422' class='xr-var-data-in' type='checkbox'><label for='data-5abfc4a5-6a7c-4412-aab5-d25eb286c422' 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'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-22002ddb-b3a0-4de1-89af-cf7632735640' class='xr-section-summary-in' type='checkbox'  ><label for='section-22002ddb-b3a0-4de1-89af-cf7632735640' class='xr-section-summary' >Indexes: <span>(2)</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>location</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3a65e107-8f32-4fc3-ac50-88818ac3db97' class='xr-index-data-in' type='checkbox'/><label for='index-3a65e107-8f32-4fc3-ac50-88818ac3db97' 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(Index([&#x27;IA&#x27;, &#x27;IN&#x27;, &#x27;IL&#x27;], dtype=&#x27;object&#x27;, name=&#x27;location&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>month</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-41301d6a-e506-417e-8242-3770c979fe61' class='xr-index-data-in' type='checkbox'/><label for='index-41301d6a-e506-417e-8242-3770c979fe61' 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(Int64Index([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], dtype=&#x27;int64&#x27;, name=&#x27;month&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-36d4714b-3f13-4a77-9008-ec7544784f60' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-36d4714b-3f13-4a77-9008-ec7544784f60' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# quick visualization\n",
        "freeze.to_pandas().plot(); plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        },
        "id": "L9oyMW3Emmvf",
        "outputId": "cbc81707-0244-43ea-b918-d99d94fc9b3e"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# monthly means\n",
        "# we can resample a time dimension to be monthly (1MS) average\n",
        "monthly_avg = ds.resample(time=\"1MS\").mean()\n",
        "# plot the variables for Iowa\n",
        "monthly_avg.sel(location=\"IA\").to_dataframe().plot(style=\"s-\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "hgHrxMFknvUL",
        "outputId": "b6ee8d30-5594-4d8c-97ba-168e7e36f092"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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S64g4qi6T4PR29Z3aj49CeEcIj9c7KiFcS2UZLP6Ten79HyQJEY3iWomIwdCwIRLPBi419fSxyZDLxeLi4tiyZQvJycn4+/vX6eVoqJCQEMLCwvjggw9o3rw5KSkplwy7FBYWcvfdd/P4448zevRoWrRoQe/evRk/fjxTp0699sDTdsCJ1WDwUHfOdHQjXlALnSWvg2/ukp16hbC19a/BuRMQ0FytJSREI7jnqhmdzZo1Cw8PDzp37kx4eDgpKSnXfA+j0cjXX3/Njh07SEhI4Mknn+Tll1+uc80f//hH/Pz8+Oc//wlA165d+ec//8kf/vAH0tLSrj3w32pWynS7Ra3d4eg8PGHqpxAQXbNT7yPqHBchRNPlHD9fS2jUHMdZPSecjkFRHPfJXFBQQFBQEPn5+QQG1v1HXlZWxsmTJ2ndujXe3tdY0rshO0V6mmHGDrebXHXFP9esA/BuX8AA07dCeAfdYrxmp7erO/VWV8D1D6n701yOTKYTomEUBb6YpPaQth2ulk1v4MpB3cnzXxNX+/19Mdcammmo4Fj1H5lUVm046zufzjc7VxIC0OI6GPIMrHwRtn6gHpcjDx8hGmbfD2oS4mGGMS87TxICl3/+VxSrlZmrSmHMK9BhpDwHNOSeiQio/8jkH1rD5BxXHzwAA/+kbyyN1XaYmohcjbWIkfy7EOLKyvJhWc18kEGzIKytvvE0xuWe/z3vgm0fqgnW9b/XJy43JXNERP02vK4WLGp/kxPPineid2xCOLJVf4eiLAhr5xyT1hvq+gfVj4eXQN61z9sTjSeJiLi6/NOQ9JV6PnCWvrEIIfSVvgu2faSej31FHc50FeHx0HqQ+qZr+yd6R+NWJBERV7fxLbBUQqsB0LKP3tEIIfRiqYZFT6q/qLv+DtoM0Tsi27v+IfXjzs/VGilCE06fiDjwoh+nVOfPs+gM7Jirng9y0rkhQgjb2P6J2iNiDoKb/qF3NPbRYTQEtlDniu1foHc0bsNpExFr+fMmb2cv6rD+eXp5ecHmd9RZ5NG9oM1QnSMTQuimMOv8ZO/h/w8CIvWNx148PNU9tECduCo04bSrZjw8PAgODiY7OxsAX19fDM60hMzBKIpCSUkJ2dnZBAcH41FReH4seNAs51qeJ4SwrWV/gfICiO4J192vdzT21eteWPsvtZJ02g51ryphV06biABERal7nViTEdF0wcHB6p/rb/9RHzwRndXuSmfnG6ZOrKuviJEjbFMuhCM5vhr2fa9uajfuNTB66B2RffmHq3tV7fkGtn4EkyQRsTenTkQMBgPNmzcnIiKCyspKvcNxel5eXnh4eEB5kTosAzBgJhiddgTvvCsVsTv6K6z+B3j6wgPLpIaIEBe6cFO73g+qPSLu4PqH1ERk3w9w0/+BXzO9I3JpTp2IWHl4eKi/QIVt7PwMSs9BSGv1nYGruFwRo6hucGiRujneri+g+cuX/14h3NGGN+DccfCPhGF/1Tsa7cQkQvMekJGkrqAZOFPviFyaC7zVFTZVVQ4b/6ueD3hSnbzlyoxGuOnv6vn2T+DsUX3jEcJR5ByHdTUbXY6aA95B+sajJYPh/FLe7Z+oS5eF3TQ6EXn33Xfp1q0bgYGBBAYG0rdvX3755Zfa18vKypg+fTphYWH4+/szZcoUsrKybBK0sKOkL6EwAwJjoPvtekejjdaDoMMosFTBiuf1jkYI/SkKLJkF1eXqirkuk/WOSHsJk8EnFPJT4chSvaNxaY1ORFq0aMFLL73Ejh072L59O8OGDWPChAns378fgCeffJKff/6Z7777jrVr15Kens7kyW74j9mZVFfB+tfV836Pg6dJ13A0deOLYPBQh2lObdQ7GiH0tX8BHF+lbmo39hX3XDXn5QO97lbPt8pSXnsyKDasCBYaGsrLL7/M1KlTCQ8PZ968eUydOhWAQ4cO0alTJzZt2sQNN9zQoPtdyzbCwgZ2fw0L/gC+zeCJvWDy1TsibS16Uu2Gje4Fv1/pGpN0hbhWZQXwVm8oyoQhs9Wdq91V7il4ozugwPRtzrfzuI6u5fe3TZ601dXVfP311xQXF9O3b1927NhBZWUlI0aMqL2mY8eOtGzZkk2bNl3xPuXl5RQUFNQ5hEYsFlj3qnre91H3S0JAfeia/CF9J+yfr3c0Quhj9T/UJCS0DfR/Qu9o9BXSSh22hfN1lYTNNSkR2bt3L/7+/pjNZh5++GEWLFhA586dyczMxGQyERwcXOf6yMhIMjMzr3i/OXPmEBQUVHvExspSSs0cWgRnD6vlm3u76RbY/hHnH7wrXpC9JoT7SU+CrR+o52NfAS9vXcNxCNZdeXd/BeWF+sbiopqUiMTHx5OUlMSWLVt45JFHuPfeezlw4ECj7zd79mzy8/Nrj9TU1KaEJxpKUWDdf9TzPg+51+z4i/WdDgHNIT/l/ANZCHdw4aZ2CVOg7TC9I3IMbYZCWDu1wOOeb/SOxiU1KRExmUy0a9eOxMRE5syZQ/fu3XnjjTeIioqioqKCvLy8OtdnZWXVVkO9HLPZXLsKx3oIDRxbqdbR8PKFPo/oHY2+TL4w7P+p5+v+AyXn9I1HCK3s+FQdljQHwsh/6h2N4zAaz/cSb/1IfeMmbMqms/EsFgvl5eUkJibi5eXFypUra187fPgwKSkp9O3b15ZNCluw9oYk3gd+UuKc7rdBZAKU5cNvUuBMuJi8VHUI5sLj2Cr49W/q631nQMCV3zC6pe63g5cfnDkIyev1jsblNLpa1ezZsxk9ejQtW7aksLCQefPmsWbNGpYtW0ZQUBAPPPAAM2fOJDQ0lMDAQB577DH69u3b4BUzQiPJGyBlE3iYoN9jekfjGIwealnnLyapy/Z6/x7C2uodlRBNl5cKbyVefc+l9a9Ajztku4ML+QRDt1vUXqNtH0LrgXpH5FIa3SOSnZ3NPffcQ3x8PMOHD2fbtm0sW7aMG2+8EYDXXnuNcePGMWXKFAYNGkRUVBTz58tKBIdjrZzY404IbK5vLI6k7TBoNwIslbDyBb2jEcI2SnKunoSA+vrFezKJ85NWDy6C/DR9Y3ExNq0jYmtSR8TO0nbCh0PVQl6P74SQOL0jcixZB+C9/urkvQeWQ+z1ekckRNOkJ8EHg+u/7qG1EN3D3tE4n0/Hwqn1MOgpGPas3tE4NM3riAgncLlx4eXPqa+1Ha4mI6KuyM5qTxHAsr/KJDUh3N31NZNWd8ytv2dJNJiL72gmgPrHhY/9qr4+Y4eMC19s6F/VrcBPb4UDC6HLRL0jEkLopeM4dXl/YQYc+Am6/U7viFyC9Ii4AxkXbrzA5uq+O6BuiFdVoWs4QggdeXipqwtBnbQqbEISESHq0+8x8I+E3JOw/WO9oxFC6ClxGhi9IHWLOsQtmkwSESHqY/ZXh2gA1v4LSnP1jUcIoZ+ASOg8QT2XXhGbkEREiIboeReEd1KTEOuSZyGcjW8YeJqvfo2nWb1OXJl1Ke/e76X6sg1IIiJEQ1iLnAFseR9yk3UNR4hGCY5VJ6X3vFv9vPVgdanuhYdMWq9fbB+I6gpVZbDrf3pH4/QkERGiodqNgDZDoLoCVv6f3tEI0TjBsXB6u3re4061XsiFhyQh9TMYoHdNr8j2j9UNA0WjSSIiREMZDHDj/wEG2Pc9nN6hd0RCXLuc4+qeKQYP6HCT3tE4r66/U3cqz02GYyv0jsapSSLiDmRc2Haad1M3wAL49Vkpciacz+El6se4/uATom8szszke36Ia6tMWm0KKWjmDqzjwt/dC2k74LoHoNc9da/xDZMu2YYa9izsnw8pG+HQYug0Tu+IhGi4Q4vVjx3l322T9X4ANr0Nx5arPU2yOWajSI+Iu/DwgvRd6nm/x2RcuCmCYtSt0gFW/A2qK/WNR4iGKjqj1r8AiB+jbyyuILQNtFc3emWb1BhqLElE3MW+H9TN21pcD6Gt9Y7G+Q14AvzCIeeYuu+EEM7gyFL1ORDVTd582Ip10mrS/6CiWN9YnJQkIu5i73fqx2636BuHqzAHwJBn1PM1c6AsX994hGgIGZaxvXYj1J3Ly/LPP2fFNZFExB2cPaYOyxg8oPNEvaNxHb3uhWYd1D161r+mdzRCXF1FMZxYrZ53HKtvLK7EaDzfK7L1I5nA3giSiLiDvd+qH9sOA/9wfWNxJR5ecOOL6vmmt+HIMnXviYuPvFTdQhSi1vFVagGu4JYQ2UXvaFxLzzvB0wey9kLKZr2jcTqyasbVKQrsqUlEZFjG9iK7AAa1yNm8K/z5epqlWqXQ36GaZbsdx6k1cYTt+IRAt9/Bzs9h6wfQqq/eETkV6RFxdWk71F1jvXxllrw9lJwD6umKrSpXh2+E0Et1FRz5RT2X54B9WIdnDv4EhZn6xuJkpEfE1VknT3Ucq+4iK4RwPymb1A0bfUKgpbxbtwufEIjsqg7PrHkJEqfVfV1qNV2RJCKurLpKXbYLajliIYR7slZT7TAaPOSxb3N5qfBWotr7CbDjU/W4kAzRXpEMzbiyk2ug+Iyaibcdpnc0Qgg9KAocWqSed5RhGbsoyTmfhFyJDNFekSQirmxPzbBMl0nqCg8hhPvJ2g95KeDpLW9IhEOSRMRVVZScfxfUVVbLCOG2rEXM2gwFk5++sQhxGZKIuKrDS6CiSK0ZEHu93tEIIfRSOywjRcyEY5JExFXt/V792PV3UjPAnnzD1EloV+NpVq8TQmt5qZC5BwxGiB+tdzRCXJZMn3ZFJefUbalBhmXsLThWnQl/4SS0n5+AjF3Q52Hofrss2xP6sa6Wie0Dfs30jUWIK5AeEVe0fwFYqiCqK0R01Dsa1xccC9E9zh+J96hfT9mkfi5JiNBL7SZ3MiwjHJf0iLgiaxEzJ+0NScsrJbe44oqvh/iZiAn20TCia9RpAiyeBRm7Iec4hLXVOyLhjkpzIXm9ei7VVO3LOkR7tSW8MkR7RZKIuJq8FPWdOAboOlXvaK5ZWl4pw/6zhvIqyxWvMXsaWTVriOMmI35h0GYIHF8J++bD4Kf0jki4oyO/glIN4Z0kGba3yw3RVpbA5xPUfaimfKIuGpDe0cuSoRlXY52kGjcAAqP1jaURcosrrpqEAJRXWa7aY+IQEqaoH62VbYXQ2mEZltHUxUO0rfpB+5vU184ckiTkKhqdiMyZM4fevXsTEBBAREQEEydO5PDhw3WuGTJkCAaDoc7x8MMPNzlocRW1wzJS0l1XHceChwnOHISsA3pHI9xNZRkcXaGeSzVV/XS6Wf148Cd943BwjU5E1q5dy/Tp09m8eTPLly+nsrKSm266ieLi4jrXPfjgg2RkZNQe//73v5sctLiCzH2QfUD9Bdh5gt7RuDefYGg3Qj3fP1/XUIQbOvkbVBZDQDQ076l3NO4rfhQYvdQekexDekfjsBo9R2Tp0qV1Pp87dy4RERHs2LGDQYMG1X7d19eXqKioxkcoGm7vt+rH9jepvwiFvhKmqMsn9/0AQ/8q9VyEdqxFzOJHg1FG4HXjHQRth8LRX9VeEVnFeFk2+xean58PQGhoaJ2vf/nllzRr1oyEhARmz55NSUmJrZoUF7JYYG/NfIRuzrlaRlEU1h87q3cYttNhFHj6wLkT6goaIbRgscDhX9RzmR+iP2vv9AEZnrkSm6yasVgsPPHEE/Tv35+EhITar99xxx20atWK6Oho9uzZw9NPP83hw4eZP//yXdXl5eWUl59f/lRQUGCL8NxDyiYoOA3mQGg/Uu9ortmulFz+sfgg20/l6h2K7Zj9ocNIOPCj2isS3UPviIQ7SNsOxdnqsyBuoN7RiPgxYPSErL2ynP8KbJKITJ8+nX379rF+/fo6X3/ooYdqz7t27Urz5s0ZPnw4x48fp23bS/8y5syZwwsvvGCLkNyPdVim083g5a1vLNfgdG4J/156mJ92pwNg8jRQUaXU+317TueTEBNk7/CaLmGKmojsXwA3vijDM8L+rMMy7W8ET5O+sQjwDVUTwhOr1eGZAU/qHZHDafLQzIwZM1i0aBGrV6+mRYsWV722T58+ABw7duyyr8+ePZv8/PzaIzU1tanhuYeqCtj/o3rezTlWyxSUVfLSL4cY9spaftqdjsEAUxNb8O1D/TB71v/P8sVF+9nhDL0n7W8Ekz/kp8LpbXpHI9zBoZqy7i4wLJOWV8q+tPwrHml5pXqH2DC1wzML9Y3DQTW6R0RRFB577DEWLFjAmjVraN26db3fk5SUBEDz5s0v+7rZbMZsrmcDMXGpY8uhLA/8oxy+K7aq2sJXW1N4bcVRztXUAunXNoy/ju1El2i1h2PVrCFXrBNSXlXNS78cYltyLtM+2cq8B2+gawsH7hnx8lF/Iez5Rh2ekZ2QhT2dOQI5R9WVGu1u1DuaJnGJ4oZWHcfB4pmQvkstOhncUu+IHEqjE5Hp06czb948Fi5cSEBAAJmZmQAEBQXh4+PD8ePHmTdvHmPGjCEsLIw9e/bw5JNPMmjQILp162azH0AAe2qGZbpOBaOHvrFcgaIorDqUzT+XHOT4GXWJd5twP/4yuhPDO0VguGDIIibY56oPls/v78O9n2xla/I57v5kC9881Jf4qAC7/wyNljBFTUT2L4CR/3TYvyPhAqzDMq0HgXegvrE00bUUN3T4RMQ/HFr1h+R16qTVfjP0jsihNDoReffddwG1aNmFPv30U6ZNm4bJZGLFihW8/vrrFBcXExsby5QpU3j22WebFLC4SFkBHKlZSq1DEbOG7AuTX1LJP5YcYMMxtfxxqJ+JJ0a05/brW+Llce2jgz4mDz6edh13fbyV3al53PnRFr75ww20Dfdv9M9hV22GgncwFGXBqY3Q2rF7rYQTO+w6wzIup/OEmkRkoSQiF2nS0MzVxMbGsnbt2sbeXjTUoUVQVQZh7aF5d02bbkjXqdEAlpp/KiYPI/cNiGP60HYEens1qe0Aby8+v+96bv9wMwcyCrjzwy1893BfYkN9m3Rfu/A0QafxsOsLdXhGEhFhD4WZ5+chySZ3jqfjOFgyC05vhYJ0p9yCw16k0o2zsw7LdLtF8xUZDek6tSYh47tHs/JPg5k9ulOTkxCrIF8vvnjgetpF+JNZUMbtH24mI99BJ69Z9545sBCqK/WNRbgma+2QmEQIvPw8PKGjwOYQe4N6fvBnfWNxMJKIOLPCLDhZ0+vkwDvt/ud33fjv7T3t0lsR5m9m3u/7EBfmy+ncUu78cAtnCq+yFbde4gaCXziUnjv/dyaELR2q2eTORXpDjp8patB1G4/l1NtD7zA61+w9I8XN6pBExJnt+wEUC7ToDaFt9I7mijpG2XfSXESgN18+eAMxwT6cOFvMXR9tcbzdeT08zy/h2yd7zwgbKy88n+B2HKdvLE2UX1rJ3xbu44mvkxp0/T9/Ocj4t9az6lCW4yck1k3wTm2Aomx9Y3Egkog4M2sRs67OWdLdlmKCffjy932ICDBzOKuQuz/ZQn6pgw2BWIdnDi6CKgfstRHO69gKqK6A0LYQHq93NI1isSh8uz2VYf9Zw2ebTtHQlMLb08i+tALun7udSe9sZN3RM46bkATHqkNnKDI8cwFJRJzV2WPqmnSDB3SZpHc0DiGumR/zHuxDmJ+JfWkF3PfpVorLq/QO67zYG9TdUMvz4dhKvaMRrsQ6LNNxjFNW792Xls/U9zby5+/3kFNcQdtwP964rUe9xQ3Nnka+f6QffxjUBm8vI0mpedz98VZufX8zm47naBT9NbL2ihyU4Rkrm5R4FzrY+536se1QdY26AKBdRABfPNCH2z7YxM6UPB74bBtz77seby8HqN1hNKpJ4+a31WG1jq4xli90Vl0JR35Vz51sWCa/pJJXlh/mf5tPYVHA1+TBH4e3577+rTF5GrkuLrTe8gAxwT4kxATxwMDWvLvmOF9uSWFr8jlu/3Az/dqG8aebOpDYKvSK99Bc55thxd/g5DooOaeWgHdzkog4I0WRYZmr6BwdyOcP9OGuj7aw+cQ5/vDFDj64JxGzpwMkIwlT1ETk8C9QUQImB1xuLJxL8nq1l80vXJ0v5gQsFoXvd5zmX0sPkVOTaIzr1py/ju1E86DzxcnqK254oYgAb/42vgsPDWrD26uP8c22VDYez2Hju5sY3CGcmTd2oHtsMNCw+kd2K5IW2gaiukLmXrUnq9fd9mnHiUgi4ozSdqpby3v56lq4KMTPVKdOyOWYPY2E+Gm/8VaP2GA+va8393y8lbVHzvDYvF28fWevRhVQs6mYXhDcCvJOwdFlMqwmms46LNNhlFNU7d2Xls//W7iPXSl5ALSL8OfFm7vQr10zm9y/eZAPf5/YlYcHt+WtVcf4bsdp1h45w9ojZxjRKYI7b2jJw1/s1Ld0fOcJaiJyYKEkIkgi4pysvSHxY9St5nWSnleKRQED8PYdPWkZ5nfJNXZ9Z1GP3nGhfHjPddz/2TZ+PZDFn77dzWu39sDDqOMYusEACZNh/Wvq8IwkIqIpFOWCaqr6DsvU18vgaTTw5ZYU/rflFIoCfiYPnhjRgWn94+zyBqFFiC8vTenGI0Pa8ubKYyzYdZoVB7NZcbD+1Sp2Lx3faQKs+jucWAOleeATbJ92nIQkIs6muur88s9u+g3LKIrCPxYfBOC261sypptjVgkc0L4Z797Ziz98sYOfdqdTUlHF48PaY7xMMqJZ0pQwRU1Ejvyqluh38j1BhI4ykqAgTe0dbTNYtzAaUmX5Qjd3j+YvYzoRFeRt58igVZgfr9zSnUeHtuWNFUf5aXe63dusV3gHCO8EZw6qW3R0v03viHQliYizObkWirPBJxTaDtMtjMV7M0hKzcPX5MGTN7bXLY6GGN4pkudv7sKzP+676jsizXbyjEyAZh3g7BF1rkj3W+3bnnBd1mGZdsPVnZ510pAqywCxIT78e2p3+rYN0yCqutqG+/Pm7T25qUskM+bt0rz9S3SeAGsPqsMzbp6IyPJdZ2NdLdNlEnjYplT6tSqvquZfSw8B8IdBbYkIsP+7mqbqUTNJ7Wqs3bF2ZzBAl8nq+b4f7N+ecF2HHGNYpqH+e3tPXZKQC8VdZghZF9Yqq8dWqgXp3JgkIs6kouR8ERwdh2W+2HSK1HOlRASYeXBQa93icGoJNYnI8ZXqEj4hrtW5k5C9X60l1P4mvaNpEE+9J4s7kojOENYOqsvhyDK9o9GV/KtwJkd+gYoiCG4JsX10CSG/pJL/rjoGwJ9u6oCvSUb3GiU8HiK7gqVKKiyKxrFOUm3VT2pROCOD4XxxswML9Y1FZ5KIOJO936sfu/5Ot+qJb60+Sn5pJfGRAUxNjNUlBpeRULNiZr/sPSMaobaaqn5L+EUTWfefOrYCKor1jUVHkog4i5JzcHS5et71d7qEkHquhM82ngJg9piO+i6DdQXWeSInf5MNsMS1Kc6BlE3quYvstquVED9Tg0rHa1L/qHl3ta5QZYmajLgp6Vd3Fgd+BEul2p0f0UmXEP697DAV1RYGtGvG4A5SVr7JQlurG2Cl7VC7Zq9/UO+IhLM4slTdeTuqK4S00jsapxIT7MOqWUPqTEwvr6rmvk+3UVBWxdOjOnJzj2htlvIbDOqk1Y3/hQM/ne8hcTPSI+Is9tSslummT29IUmoeP+9Ox2BQe0MMTrixlkOqXT0jwzPiGliHZeIdY1im+mrllWvoVWX5cqz701iPxFahTOuvTrz/9UCmtkUYO09UPx5ZCpVl2rXrQKRHxBnkpUDKRsAACVM1b15RFP5ZU7xscs8WdIkO0jyGprJ2x9ZX1lnzB2WXSfDrX9W/3/w0CIrRtn3hfCpK4Pgq9dxB5od8tjEZgPgof16e0l3fgoGNdPcNrXhvzXF2peSx41Quia1CtGk4uhcExqiF6Y6vcsvNMCURcQbWWhNxA3T5RbX8QBZbk89h9jQya2QHzdu3hct1x1ZbFO6fu42c4gr+MrojY7tr1B17oaAYaNlPTUT2L4B+M7RtXzifE6uhqhSCWqpDMzrbmZLL/F1pAPx7Sne6NaBmjyMKDzAzsWc0324/zcfrT5DYKlGbho1GdfXMlnfh4E9umYjI0IwjykuF9KTzx47P1a/H3qB+npeqWSiV1RZe+kUtXvb7ga3r7IzpbC7uju0eG8zU61oAsP1Urn7v1qw1RWT1jGiI2tUyY3RbPWdlsSi88NN+AKYmtqjd3dZZPTCgDQBL92WSeq5Eu4atc0MOLYEqDYoqOhhJRBxNXiq8lQgfDD5/5J5QX1v3svr5W4maJSNfb03hxNliwvxMPDy4rSZtamlyTzURWX04W5uqqpfTeQIYjOqk1XMn9YlBOIfqKnVbAHCIYZn5u9LYfTofP5MHfx4Vr3c4TRYfFcDA9s2wKPDphmTtGo7tA/6RUJ6vrqJzM5KIOJqSHKgqv/o1VeXqdXZWWFbJ6yuOAvDEiPYEeOtTUt6e4qMC6Nw8kMpqhUV7M/QJwj8CWg9Sz6VXRFxN6hYoPQfeweqQno6Kyqtqt3p4bHh7p9jqoSF+P1DtFflmWwoFZZXaNGo0Qqfx6vmBH7Vp04FIIiKu6L21x8kprqBNuB+3Xd9S73DsZnIvdd7Ngp2n9QsiYYr6cd8C/WIQjs9aTbXDKPDQd4rfW6uOcaawnLgwX+7rH6drLLY0qH0z2kf4U1xRzTdbtRsGr62yemix2vPlRiQREZeVnlfKR+vUYYJnRnXEy4X3iLi5ezRGA+xMyeNUjk7VDTuOA6MnZO2FM4f1iUE4NkWBQ4vUc50nNCafLeaT9erz4dmxnTF7eugajy0ZDAZ+P1BdyvvphpNUVde/q7BNtOoPvmFqj9ep9dq06SBc97eLaJJXfj1CeZWF6+NCubFzpN7h2FVEoDf92zUDYEHN7H/N+YZC2+HqudQUEVYXTlzfvwByk8HoBX4Rmk9cv9DfFx+kotrCoA7hDO8UoUsM9jShRwxhfibS88v4ZV+mNo16eJ7fRdnN9p6RRERcYn96PvN3qcMUfxnbyS2Kl9UOz+xKQ1HqL85kF9bhmf3z1Xe/wr1dPHH9+/vUr1sq4dNRmk9ct/rtyBlWHMzC02jguXGu+Xzw9vLg7r5qxdqP1p3Q7pnQuWZ45uAisFRr06YDkERE1KEoCv9cchBFgfHdo+nh5MvxGmpklyh8TR6cyilhZ0qePkHEjwYPM5w9Aln79IlBOA4HmrhuVVlt4cVFBwC4p28c7SICNGtba3fd0AqTp5Hdp/PZcSpXm0ZbD1YnIhdnQ8pmbdp0AJKIiDrWHDnDhmM5mDyM/Hmk8y/HayhfkyejukQBsGCXTpNWvQOhw03qubWInRAO5ItNpziWXUSon4k/jmivdzh21czfzOSeak+pdb6c3Xl4nd/E0I2GZyQRcTS+YeBpvvo1nmb1Ohurtii8tERdjndvv1bEhvravA1HNqlmeGbRngwqrlIK3q5qV8/I8IxwLDlF5by24ggAs26KJ8jH9ZbzX+z+Aeqk1WUHMrWbyG4tbnbwZ7Do9BzSWKMTkTlz5tC7d28CAgKIiIhg4sSJHD5cd7Z/WVkZ06dPJywsDH9/f6ZMmUJWVlaTg3ZpwbFw9481nxjhnp/hobV1jxk71Ots7PsdqRzOKiTIx4sZQ1373c7l9GvbjIgAM3kllaw5nK1PEO1Hgpcf5J2CtJ36xCDEZbyy/AiFZVV0bh7Irb1t//xxRB0iAxjcIRxFywJnbYeCKQAK0yFtuzZt6qzRicjatWuZPn06mzdvZvny5VRWVnLTTTdRXHw+a3zyySf5+eef+e6771i7di3p6elMnjzZJoG7NOsvoLj+0GYQRPeoe9ghCSmpqOKVX9V3O48Na0eQr+u/27mYh9HAhB7RgI6rZ0y+6lwRkOEZ4TD2p+fz1dYUAP42vjMel9nUzlVZl/J+uz2V/FINCpx5miF+lHruJsMzjU5Eli5dyrRp0+jSpQvdu3dn7ty5pKSksGPHDgDy8/P5+OOPefXVVxk2bBiJiYl8+umnbNy4kc2b3WcSTqNYawVYK+1p4MPfTpJdWE7LUN/a2eLuaFJNyfeVB7PJL9GoquLFalfPLHCbrlnhuBRF4YWfD6AoMLZbc/q0sf2wsCMb0K4Z8ZEBlFRU83VNMmZ31uGZAz+5xRCtzeaI5OfnAxAaGgrAjh07qKysZMSIEbXXdOzYkZYtW7Jp0yZbNet6ii6YLa3RXhLZhWW8/9txAP48Kt6lihNdq87RgXSMCqCi2sJivUq+txsO5iC1azZVknahr8V7M9h6Ut19+y9jOukdjuYMBgMP1PSKzN2YTKUWBc7aDgcvX8hPgfRd9m9PZzZJRCwWC0888QT9+/cnISEBgMzMTEwmE8HBwXWujYyMJDPz8gViysvLKSgoqHO4ncNLAAWa94CgFpo0+dryo5RUVNMjNpixXZtr0qYjm9TTWlNEp9UznmboVFPYSIZn3JdvmFq87GrsNHHdqrSimjk1E9gfHtxWvx2qdTahRzTN/M1k5JexRIs3KCZfaF+zgu7gT/ZvT2c2SUSmT5/Ovn37+Prrr5t0nzlz5hAUFFR7xMa6x4SoOg5ah2XGadLckaxCvtmmdjc+6ybFy+ozoUcMBgNsS87VdivwCyXUzKU6sNDt9p0QNYJjoVXNxnbdb7900rodJ65bvf/bcdLySokO8nbJ3bcbyuzpwT01Q9Yfrz+pTYGz2uGZhS4/PNPkRGTGjBksWrSI1atX06LF+XfwUVFRVFRUkJeXV+f6rKwsoqKiLnuv2bNnk5+fX3ukpupTvlg3ZQVwcq163lGb+SEv/XIIiwKjukRxXVyoJm06uqggb/q1Vd9l/qjXpNXWg8EnFIrPQPI6fWIQ+irMguSaPUcGzLx00rqdJq5bpeWV8t5adch29phO+Jjcd8gW4M4+LTF7GtlzOp9tyRoUOGt/E3h6w7kTkLXf/u3pqNGJiKIozJgxgwULFrBq1Spat25d5/XExES8vLxYuXJl7dcOHz5MSkoKffv2vew9zWYzgYGBdQ63cmw5VFdAWDsIt20xsbS8Uval5dc5vtx8ilWHsvEwwDQX2j3TFqyTVnUr+V6Yqa6aAtj6wfn9RqyHTnuMCA3t+RqUamjRG8I7aN78nCUHKatU95sa102GbMP8zUzupT4XPlp3wv4Nmv2hXc0cSxdfPdPofaSnT5/OvHnzWLhwIQEBAbXzPoKCgvDx8SEoKIgHHniAmTNnEhoaSmBgII899hh9+/blhhtusNkP4FKswzIdx4ENh0jS8koZ9p81lF+hSFe1Avd+spVVs4a47RjwxUYlRPHsj3s5cbaY3afztS11b91jxFre+/CS89u/W3ma7d4tL3SkKLDrS/W8512aN7/15DkW7cnAYIDnxneWIdsaDwyI46utKSw/mEXy2WLimvnZt8FON6urKA8shGF/tW9bOmp0j8i7775Lfn4+Q4YMoXnz5rXHN998U3vNa6+9xrhx45gyZQqDBg0iKiqK+fNlZ9HLqiqHo8vV8462nR+SW1xxxSTEqrzKQm5xhU3bdWb+Zk9GWku+79R40qoD7jEiNHZ6O5w9DJ4+0EXb2kvVFoXnf1KHAm7r3ZKEmCBN23dk7SICGBpvLXCmQdn3+FHqhOWzhyH7kP3b00mThmYud0ybNq32Gm9vb95++23OnTtHcXEx8+fPv+L8ELd3Yi1UFIJ/FMQk6h2N4PzqmZ/3ZGizZE8Iq6T/qR8736zuQaShb7enciCjgABvT2bdpP2QkKP7/cA2AHy7/bT9aw15B0HbYeq5C6+ekb1mHIW1iFnHsWCUvxZHMKBdM5r5mzlXXMFvR87oHY5wFxUl6l5DAD3u1LTp/NJKXl6mbtXxxIgOhPnXs++VG+rXNoyOUQGUVlYzT4sCZ51vVj8ekERE2JOl+vwcAI2W7Yr6eXoYubm7WvJ9vl6rZ4T7ObQIygsguCXEDdS06TdXHuVccQVtw/1ql6uKugwGQ22vyNyNJ+2/QWb8GDB6QtZeyDlu37Z0IomII0jdqi7T9A7S/MEjrm5yzY68yw9kUVCmU8l34V521QzL9LhT097RY9mFfLYxGYDnxnfBy0N+PVzJ+O7NCQ8wk1VQbv8CZxXFaoFLgM3vueQKOvmX5giswzIdRoGH+20258i6RAfSPsKfiioLv+hV8l24j9xT52sJdb9ds2YVReHFRQepsigM7xjB4A7hmrXtjMyeHtxb02P00foT9lvib11BZ92Fd9sH8MHgusdbiU6fjEgiojdFgYM/q+ca7S0jGs5gMDCppldk/k4ZnhF2tvsr9WPrQRBin6GRy9UU+nTDSX47cgZPIzw4qI1d2nU1d/RphbeXkX1pBWw5ec4+jbjJCrpG1xERNpK1D/JOqRX02o2o//pGCPEzYfY0XnUJr9nTSIifyS7tO7uJPWL499LDbDl5jtO5JbQI8bVvg75hap2Qqz2A7LzHiNCBxQJJNbVDetindkh9NYWqLFJTqKFC/UxM6dWCL7ek8NG6k9zgZrsS25IkIno7tFj92HYYmOxTHCcm2IdVs4aweHc6//zlEM2DvPng7sQ6RYpC/Ezy4LmC6GAfbmgTyuYT51iYlM70oe3s22BwrFqs7MJ3OedOwPf3qZPW7lkIwa2kmJmrObUe8lLAHAid7LPFw7XUFJLnQf3uH9CaL7eksPJQFifOFNEm3F/vkJySDM3o7cJqqnYUE+zD0ewiAEYnNKdri2ASYoJqD3noXN1krUu+B8fW3VOkyyRoFg+WKnU8WJIQ12OdpJowWd19VTi8tuH+DO8YUVPgLFnvcJyWJCJ6yk1Wl2QZjBA/2q5NWSwKqw9nAzCiU4Rd23JFo7tGYfY0ciy7iH1pBdoHYDBAwhT1fL9UJ3Y5Zfnn60TYaVhG2McDA9V91r7bkUpeiVSnbgxJRPRk7Q1p1R987bvz7e7TeZwtqiDA7Cm77DZCgLcXN3aOBGD+Lo1Lvlsl1JT6Pr4KSuw0OU7oY/8CqCqFZh2gxXV6RyOuQd82YXRuHkhZpYUvt2hQ4MwFSSKip0PaDMsArDqk9oYM6hCOyVP+2hvDWlPk593pVOlR8r1Ze4jsqg7PWFdaCddw4QZ3ssGcU1ELnKm9Ip9tTLZ/gTMXJL+R9FKUDSmb1XMNlu2uPKgmIsM6yrBMYw1sH06Yn4mzRRWsO3pWnyCsvSIyPOM6zhyB01vB4AHdbtM7GtEI47pFExFgJruwnEV70m13Y+sKuqtxgRV0kojo5fAvgKJWzLPzxMP0vFIOZBRgMMBQSUQazcvDyPiaku8L9Cr53mWS+vHkb2oyK5yfdYO79jdCQKS+sYhGMXkaubdfHAAfrTtpuwnt1hV0D6294FgDIWoPDL0fUl938snrkojoxToso8HeMtZhmV4tQwiVWiFNYt2R99cDmRSVV2kfQGhriO4FigUOLNS+fWFb1VWw+2v1XIMN7qw1ha5Gago1zp19WuLj5cGBjAI2nbBhgbGLV9BF94Qhz6ivHVwIfs5fBVfqiOihrABOrFHPO9qnXsCFrImIDMs0XbcWQbQJ9+PEmWJ+2ZvB767T4Z1IwmRI36lOcLz+Qe3bF7ZzfCUUZald6x1G2b25mGAfPpnWmzs/2oIB+Oje64gM9K5zjdQUapziimqGdgxnyd5MXlt+hEDvutt12PTPNWEKrHwRCtJgzzeQeK9t7qsTSUT0cGw5VFdAaFsIj7drU6UV1Ww4ps5nGC7LdpvMYDAwuWcM//n1CAt2pemTiHSZBL8+C6c2QkE6BEZrH4OwDWvtkG63gqc2vRArDmYBMLxTJMM7yVCQLVxcsXZbci7j/ru+zjVmT6PtKtZ6eMENj8Kvf4WNb0LPuzXdINHWnDdyZ3bwgmEZO8+Q33DsLOVVFmKCfYiPDLBrW+5iQg91eGbTiRwy8ku1DyCoBcTeACiw/0ft2xe2UZxTM1cMTYZlAEoqqvh+h7r8/O6+9tnLxh1dS8Vam0m8F8xBkHMMDi+x3X11IImI1qrK4ehy9VyDYZmVNcMywztF1CnpLhovNtSX61uHoiiwMMmGM+SvhayecX57vwVLJTTvDlEJmjT5U1I6hWVVtArzZWC7Zpq0KezEHAC9H1DPN7yhbyxNJImI1k7+BhWF4B8FMYl2bUpRFFYdUrthZX6IbVknrS7YqVHJ94t1nqhW5D29Td06XjifXfbd4O5iiqLw+Sb138pdfVphNMobE6fX52HwMKnLv63lIJyQJCJasxai6jjW7mN6+9MLyCoox9fkITtD2tiYrs0xeRo5nFXIgQwdSr4HRKoVeUGdtCqcS8ZudXsHDxN0napJk7tS8ziQUYDZ08jUxBaatCnsLCASut+unjtxr4gkIlqyVJ8fy9OgiJl1tcyAds3w9vKwe3vuJMjHq3bPngU7daopIsMzzsvaG9JxrN23d7D6oqY3ZHz3aFme60r6PQYY1N8tZw7rHU2jSCKipdStUHxGnWAUN9Duza2snR0vwzL2MKlmR96FepV87zRBrcaZsRtyjmvfvmicqnJ1fghoNiyTU1TO4j0ZANx9g0xSdSnN2p9/Y7vxTX1jaSRJRLRkLWLWYaTdl+plF5ax+3Q+AEPjJRGxh8Edwgnx9eJMYTkbjtuwgFFD+YVBmyHq+T7pFXEah5dAaS4EREPboZo0+e3201RUW+jWIojuscGatCk01P8J9ePub6AgQ9dQGkMSEa0oyvn5IRpUU11z6AygFuCKuKhgkbANk+f5ku8/6lXyXYZnnI91WKb7bWC0/5BptUXhyy01k1SlN8QudK9YG9sbWvZTV2Ftedc+bdiRJCJaydoPeafA0xvajbB7cytrVssM7ygFi+xpYs3qmaX7MinWo+R7x3Fg9ILsA5B9UPv2xbUpSFerqYK6064G1h7J5nRuKUE+XozvJsXv7CEm2IdVs4aw6LEBdY5OUWrtpocGtrZdMbMr6f9H9eP2T6Es337t2IEkIlqxDsu0HQYmP7s2VVZZXbs7rMwPsa+escG0buZHaWU1y/Znah+AT/D5xFaGZxzf7q/UfYJa9oWwtpo0aZ2k+rvEFviYZNK6vcQE+5AQE1TnmFpTeTnpdL79y+a3vwmaxUN5AeyYa9+2bEwSEa1Yq6lqsFpmy8lzlFRUExlopkt0oN3bc2cGg4GJNZVWdduR98LhGT1qmoiGUZQLaodoU0k1JaeENUfUYdo7ZVhGc6MSogDYlnyO7MIy+zZmNEL/x9Xzze+qk6KdhCQiWshNVmsGGIzQYbTdm1t18HwRM6mman/92qo1WtYfPcvaI9nsS8uvc6Tl2bkMfPxodcgv5xhk7rFvW6LxUrfAuePg5QtdJmrS5JdbT6EoMLB9M1o3s29PrLhUTLAPPWKDURRYtj/L/g12/R0ENIfCDNj7nf3bsxHZ9E4L1t6QVv3VlQ52pChKbVn3YTI/xO7S8kq56+MtACjAvZ9su+Qam252dTnmALVb9uBP6vBM8+72aUc0jXWDuy6T1L8zOyurrObbbamALNnV05iuUSSl5rFkT4b9/x48zXDDI7D8OdjwJnS/wyk2w3P8CF2BdX5IR/uvljmSVcTp3FLMnkYGyF4SdqfLZleXI8Mzjq2i+HwFXI2GZZbszSC3pJLoIG/Z4kFHoxOaA7DlZA5nizQYLkmcBuZAOHsYjv5q//ZsQBIReys6c34PAA3mh1hXy/RrGyYT09xJ+5Hg5Qd5KZC2Q+9oxMUOLISKIghpDa36adLkF5vVSap39GmJp4c86vUSG+pL15ggLAr8qsXwjHcQXHefeu4kZd8b/a/zt99+Y/z48URHR2MwGPjxxx/rvD5t2jQMBkOdY9SoUU2N1/kcXgIoand5cKzdm1t1sGZYppMMy7gVk686VwRk9YwjunCSqgbztval5bMrJQ8vDwO39Lb/c0dc3Ziuaq/IL/s0KjbW5xF1WX/KRrWit4NrdCJSXFxM9+7defvtt694zahRo8jIyKg9vvrqq8Y257xqh2XG272pc8UV7EzJBWS3XbdUOzyzACw6lJwXl3fuJJxaDxigx+2aNPm/mt6QUQnNiQiQgoZ6G12zembj8Rz7D9MCBDaH7req507QK9LoyaqjR49m9OirrwAxm81ERUU1tgnnV1YAJ9ao51pUUz2cjUWBTs0D7b9mXTiediPUseHCdEjdrNkQgKhH0jz1Y9uhEGT/XW/zSyv5MUldSi6TVB1DXDM/OjcP5EBGAb8eyOTW3i3t32i/x9UJ0ocWw9mj6p40DsquA4dr1qwhIiKC+Ph4HnnkEXJyrr4fR3l5OQUFBXUOp3ZsOVRXQGhbCO9o9+asq2WGS2+Ie/I0n58QLcMzjsFSfT4R0WiS6g87TlNWaSE+MoDecSGatCnqN6ar+qZ8yV6NCh+Gx0P8GECBjf/Vps1GslsiMmrUKD7//HNWrlzJv/71L9auXcvo0aOprq6+4vfMmTOHoKCg2iM21snHNg8tVj92Gmf3ceHKagu/HVYLFw2Taqruyzo8c+BHqNah5Lyo6+RaKDitTiDUYNWcoii1wzJ39W0ldYQcyOiaeSIbjp0lv6RSm0atZd93fwWFGkyUbSS7JSK33XYbN998M127dmXixIksWrSIbdu2sWbNmit+z+zZs8nPz689UlNT7RWe/VWVw5GapVMazA/ZlnyOwvIqwvxMdG8RbPf2hEr3za4u1mYI+IRA8ZmaeQlCV9ZJqglTwcv+czU2Hs/hxNli/EweTKrZB0k4hrbh/sRHBlBlUVh+UKOkoOUN0OJ6tWd+y3vatNkImq3patOmDc2aNePYsWNXvMZsNhMYGFjncFonf4OKQvCPgphEuze3sma1zNCOEXgY5V2QVi632dUd16vjvz1jg1n02AD7b3Z1IQ8v6HSzei7DM/oqzTs/WV2jDe6s+8pM7tUCf7PUq3Q0tatn9mq0egbO94ps+xjKC7Vr9xpoloicPn2anJwcmjdvrlWT+jr4s/qx4xhNKtutkvkhurl4s6uHB6ubmSWdzqOZv1n7icPW4ZmDP0G1Rl3A4lL7foCqMojoDNE97d5cRn5p7Tvtu2SSqkOyzhNZd/QsBWUa/d+MHwNh7aA8H3Z8pk2b16jRvyGLiopISkoiKSkJgJMnT5KUlERKSgpFRUU89dRTbN68meTkZFauXMmECRNo164dI0eOtFXsjstSXVM/BE3GhU+cKeLk2WK8PAwMaC/VVPXWMsyX3nEhKAosTNJhI7xWA8AvHEpzz6/aEtqzlnTXqHbIV1tTqbYoXN86lPgo+5eQF9eufWQA7SL8qai2sFKr4RmjUV1BA7D5HYd8c9LoRGT79u307NmTnj3VTH/mzJn07NmT5557Dg8PD/bs2cPNN99Mhw4deOCBB0hMTGTdunWYzWabBe+wUreqY/TmIIgbaPfmrL0hfVqHEeDtZff2RP0m9VSXac7fmYaidcl1D0/oPFE9l+EZfWQfhPSdYPSEbrfavbnKagtfbU0BZMmuoxuToPHqGVD/DfpHQkGa2lPnYBqdiAwZMgRFUS455s6di4+PD8uWLSM7O5uKigqSk5P54IMPiIx0k2qf1nHhDiPB0/6TFFfUZNbDZbWMwxjbtTkmTyOHswo5kKHDMnTr8MyhRU61HbjTykuF9KTzx7pX1a/H3qA+/PPsO/H+1/1ZnCksJzzAzMgubly7yQlYV8+sPXKGonKNVrZ5eUOfh9XzDW843H5UsgGBrSnKBdVU7b+3TH5pJduSpZqqowny9WJETWK4YKcOwzOxN0BANJQXwLEV2rfvTvJS4a1E+GDw+WPvt+prp9arn7+VaNdk5IvNyQDc3jsWUz2ruIS+OkYF0KaZHxVVltrebE1cdz+Y/CH7gMM9E+RfrK1l7YfcZPAwq5Uu7ey3I2eotii0i/CnVZif3dsTDWcdnlm4O52qao1LrhuN6nbzIMMz9laSU3+vU1W5ep0dHM0qZPOJc3gYDdzeR4OKnaJJDAYDo63FzfZouHrGJ1jdmRccruy7JCK2Zu0NaTsMzP52b05WyziuwR3CCfUzcaawnPXHzmofgHV45vAvUFGifftCE9YCZiM6RdA8SLZ2cAajE9ThmdWHsynWangG4IZH1XlLyevgtOPs0i2JiK0drElENNhbpqrawurDNYmI7LbrcEyeRsZ3Ux84C3bpMDwTkwjBLaGyGI4u0759YXfF5VX8sNO6r0ycvsGIBusSHUjLUF/KqyysqamIrYmgGOh6i3q+0XF6RSQRsaXcZMjaCwYjdLj6hoC2sCs1j7ySSoJ8vOjVMtju7YlrN7mXOjyzbH+mdhPTrAwG6FLTKyLDMy7px6Q0isqraNPMj35tw/QORzRQneGZfRoOzwD0e0z9eOAnyDmubdtXIIlIU1w8U37rB+rXo7pDfqrdZ8pbq6kOiQ/H00P+Kh1RtxZBtAn3o6zSom01RSvr8MzRXx22qqJoHEVRaiup3nlDK4xSUdmpjLEOzxzKprTiynuw2VxkZ2h/E6DApre0a/cq5LdXY11upvymt9XXMnZpMlN+1SF12a6slnFcBoOByTV7fugyPBPVTd39uapMnSsiXMaOU7kcyizE28vI1JqeN+E8urUIIibYh5KKatYe0XD1DJwv+77rSyjSuO3LkESksXSeKZ96roQjWUV4GA0M6SCJiCObWJOIbDqRQ3peqbaNGwyQMEU9l+EZl/JFzSTVCd1jCPKVQobOxmAw1JZ817S4GUCr/hDZFarLYeX/1e3Ztx527tG/kCQiTspaHvi6ViHyEHJwLUJ86dM6FEVRx/Q1Zx2eObZCLfsubMs3DAweV7/G06xeZyNni8pZUjPUd3dfqaTqrKzFzVYezKKsUsPhmfzTcOaQer7r87o9+9bDzj36F5LtGZ3USuuyXamm6hQm94phy8lzLNiZxiOD22LQYO+RWhGdILwTnDkIhxZrthOse6n5+xz/JjTvfunLvmEQHGuz1r7ZlkpltUKP2GASYoJsdl+hrR4tgmke5E1Gfhnrjp7lxs4arX4syQFLPXvOWHv0bfjv9kqkR8QJFZVXseXEOQCGdZRlu85gdNfmmD2NHM0uYl+ajiXfZXjG9ta/CkoVtB4EifdCdI9LDxs+zKstCvO2yL4yrsBoNDCqZu8ZXSazOwhJRJzQ+qNnqKi2EBfmS9twqabqDAK9vWrf7czfdVr7AKzLeE+sgWL7zFtyS3mpsPML9XzwM5o0ufpQNml5pQT7ejG2pk6NcF5jaoZnlh/IorxKw+EZByKJiBOyLtsd1jFS2y5+0SRTalY2/JSUTqXWJd+btVNX0CjVcHChtm27svWvqV3ccQMhrr8mTVonqd56XSzeXvXMTREOL7FlCBEBZgrLq9igRwVmByCJiJOxWJQLqqnK/BBnMrB9M5r5m8gprmDdUQ2rKVrJ8Ixt5Z+GnZ+r50O06Q05lVPM2iNnMBjgDtlXxiUYjQZGJ+i0esZBSCLSWL5has3+q7HxTHmAPWn5nC2qwN/sSe+4UJveW9iXp4eR8d2jAZivx4681uGZ5PVQ6J4PPJuq0xsywC5NpOWVsi8tv/Z4Y8VRAHq1DKawrIo0rZeDC7uwrp75dX8mFVUa95Y6AFk101j+EepRkA69H7z8SgQbz5QHWFWzbHdQh2ay3bcTmtKrBZ9uSObXA1kUlFUS6K3h0uuQVhBzHaRthwMLoc8ftGvb1VzYGzL4abs0kZZXyrD/rKH8Mr+YdpzKY9x/12P2NLJq1hBigmWzO2fWOy6UZv4mzhZVsOlEDoM7hOsdkqbkN1ljbf9UTUL8o+DGF+0+U95qxUHrbruyWsYZdYkOpH2EPxVVOpd8l+GZpln/GlRXQKsB0HqgXZrILa64bBJyofIqC7nFFXZpX2jHw2hgZBcNV8/4hqk99ldjhx79K5FEpDHKC+G3l9XzIU+DyVeTZjPySzmQUYDBoO4vI5yPwWBgUi+10qo+wzOTAAOkblbf1Ytrl5+m+dwQ4fqsq2eW7c+0/2T24FiYsQMeWnv+GF+zG6+HGe75SX1dgxoiIIlI42x8C0rOqnt49Lxbs2ZX1RQx6xkbTJh/PdmscFgTe8RgMMCWk+dIPVeibeOWaojqqp5velvXss5Oq7Y3pL/dekOE++nTOpRQPxO5JZW1daLsKji2bg9+r3vVYnzV5XB6q2ZJCEgicu2Kss/vWDj8/4GHdmP8q6zDMp1kWMaZRQf70LeN2uW5UMuS79aNGjP3qJ9vfkfXss5OqSAddn6mnktviLAhTw8jI7uoz/Yl+3QYtjUYoO8M9Xzrh/XvpWZDkohcq99ehooiiO4JnSdq1mxpRTXra9aYy7Jd5ze5pqbI/J1pKIqiTaM6b9ToEqy9IS37qatlhLCh0Qk1wzP7Mqm2aPRcuFCXSRAQDUVZsPd7zZqVRORanDupTlIFGPGCmkFqZOPxs5RXWYgJ9iE+MkCzdoV9jEqIwtvLyImzxew+na93OKIhCtJhx1z1fMgzmv7/F+6hb9swgny8yCmuYOtJDYZnLubhdX413aa3QaM3SZKIXIvV/1DrBrQdBm0Ga9q0dZO7YR0jpJqqC/A3e9bOkl+wUyaNOoX1r5/vDWk9SO9ohAvy8jByU81WEEv02nsm8V7w8oPs/eqWEBqQRKShMvbA3u/U8xHPa9q0oii180OGybCMy7AOz/y0O90tixg5lYKMC3pDntakNyTEz4S5nlpBZk8jIX4mu8citDOmZv+gpft1Gp7xCTlfF8s6H9LOpKBZQ618Qf2YMOXy23zb0f70AjILyvDx8qid5CicX/+2YYQHmDlTWM7aI2e02wJcXLsNr6urCVr2hdba9IbGBPuw4NF+jH1zPQrw8b3XERnoXeeaED+TFDNzMf3bNiPA25MzheXsOJXL9a11qKB9wyOw9QM4tgKyD0JEJ7s2Jz0iDXFynfoXYvSEoX/VvHnrst0B7ZvJJlcuxNPDyITaku8yPOOwCjLOzw0brE1viNWhzEIUoGNUAMM7RZIQE1TnkCTE9Zg8jbVvSnQbngltDZ3Gqeeb37F7c5KI1EdRYMXf1PPEaRDWVvMQrPNDhneUYRlXYx2eWXkwm/ySSp2jEZe14Q21NyT2BmgzRNOmrTttj5Al+25lTM3qmaX7MrHoMTwD55fy7v4Giuy7SackIvU5+DOk7QAvXxj0Z02avHCjq3VHzrA7NQ+A6GBv9qXly0ZXLqRzdCAdowKoqLaw2N7vfhpS1tnopVlZZ6dQmAk7anpDNF4pU1FlYe0R9ReALNl3LwPaN8Pf7ElmQRm7UnP1CSK2D8Qkqkn4to/s2pTMEbma6ipY+aJ63nc6BNj/XcnVNrq655NtALLRlYuZ3CuGfy45xPydp+27tbu1rPPl6oSsfw0O/Ah+4eATbL8YnM3616GqTH0oa9wbsvXkOYrKq2jmb6Z7i2BN2xb68vbyYHinCBYmpbNkbyaJrXSYJ2ItcPb9fWoiMuAJ8LLP7xzpEbmapC8h5yj4hEK/xzVpUja6cj8TesRgNMD2U7mk5Ni55PvFZZ2tx4S3IbglFKbD8r/ZNwZnoWNvCMCKmp22h3UMx2iUJfvuxrr3zC97M7QrenixTjdDUKy6pcmeb+3WTKMTkd9++43x48cTHR2NwWDgxx9/rPO6oig899xzNG/eHB8fH0aMGMHRo0ebGq92KkpgzRz1fNBT4B2obzzCZUUGetO/XTMAFuzSYSM8ALM/3FyzVG/7x3BirT5xOJINb6i9IS2uhzZDNW1aURRWHlITEdnSwT0N7hCOr8mD9Pwy/YoeenhCn4fV801vg8U+ZQYanYgUFxfTvXt33n777cu+/u9//5s333yT9957jy1btuDn58fIkSMpKytrdLCa2vo+FGZAUEvo/YDe0QgXN9m6I++u0/q9+2kzGK6r+be+cIa6y7S7KsyC7Z+o5zr0hhzNLiL1XCkmTyMD2zfTtG3hGLy9PBhWs0DhF71WzwD0uhtMAXD2MBxfaZcmGp2IjB49mr///e9MmjTpktcUReH111/n2WefZcKECXTr1o3PP/+c9PT0S3pOHFJprjpmDjD0L/VP8BOiiUZ2icLX5MGpnBJ2puTpF8iNL6jJd36Kew/R1PaG9FYrKWvMOizTr20YviaZyueurMMzi/UcnvEOUqutgt0KnNlljsjJkyfJzMxkxIgRtV8LCgqiT58+bNq06YrfV15eTkFBQZ1DF+tfg7J8iOgM3W7RJwbhVnxNnoyqKfmua00RcwBMcPMhmsIs9WcH3faUWSk7bQtgSHw43l5GTueWsi9Np9+HoO4/YzCqJd8z99n89nZJRDIzMwGIjKz7nygyMrL2tcuZM2cOQUFBtUdsbKw9wru6/DTY8r56PvxvYJQCYkIb1poii/ZkUF5VrV8gbQbDdfer5z/NgPIi/WLRw8Y3L+gNGa558zlF5exMUZdsjpBlu27N1+TJ0Hj138CSfToOzwS3hM4T1PNNl5+O0RQOtWpm9uzZ5Ofn1x6pqanaB7H2JfUh1LIvdBipffvCbfVtG0ZkoJn80kpWH7JvAaF63fiiOkSTl3K+oJ87KMqGbTW9IYP16Q1ZffgMigJdogNpHiRL9N2dQ6yeAej7mPpx73fqijIbsksiEhWldjFnZWXV+XpWVlbta5djNpsJDAysc2jqzBHY9T/1fMQLujyEQvxMmGSjK7fkYTQwsWfNpFW9S76bA2DCf9XzbR/Byd/0jUcrG96AqlKIuQ7aad8bArDyoKyWEecN7RiB2dNIck4JBzN0nEDeIlGtLmyphK0f2vTWdklEWrduTVRUFCtXnp9hW1BQwJYtW+jbt689mrSNVS+CYoH4MdCyjy4hxAT78OeR8TXn3vw8oz+LHhtQ55BiZq5rck91eGb14Wz9a8W0GXJ+iGbhdNcformwN0SnuSHlVdX8VlNNVYZlBEB+aSU9Y4MBmLvxZG3VbeuhaaXtvtPVj9s/Vktc2Eijp2MXFRVx7Nix2s9PnjxJUlISoaGhtGzZkieeeIK///3vtG/fntatW/P//t//Izo6mokTJ9oibts7vV0t524wwvDndA1l/bGzAPzuuli6SkVFtxIfFUDn5oEcyChg0d4M7r6hlb4B3fgiHF1eM0TzPIz9j77x2NPGN2t6QxKh3Yj6r7eDLSfOUVxRTUSAmYToIF1iEI7j4krb324/zbfb6/aWalppu+NYCImD3GTYPQ96/94mt210j8j27dvp2bMnPXv2BGDmzJn07NmT555Tf4n/+c9/5rHHHuOhhx6id+/eFBUVsXTpUry9va92W30oyvmlit1vt/uWx1dzrriC9UfVRGR8zc6swr3U1hTRe3gG1CGam61DNB+67hBN0RnYWrOfxpDZuvSGwIXDMhFSTVU4XqVtowfc8Kh6vukdmxU4a3QiMmTIEBRFueSYO3cuAAaDgRdffJHMzEzKyspYsWIFHTp0sEnQNndsBZxaDx5m9SGkoyV7M6iyKHSJDqRtuL+usQh93NwjGqMBdqXkcfJssd7hQNuhkHifer7QRVfRbKyZGxLdS7feEEVRWGFdtttR5ocIB9XjTjAHwbnjcHSZTW7pUKtmdGGxwIoX1PPrH1T34tDRz7vTAbhZekPcVkSAN4M6hAOwwBF6RaBmFU0s5J2ClS/oHY1tFZ25YG6Ifr0hh7MKScsrxexprC35L4TDMfvDddPU8422KXAmici+7yFrL5gDYeCfdA0lM7+MrcnnABgniYhbm1SzemZBUpq+S/asvAPPD9Fs/QBOrtM3nsbKS4X0pLrHr89CZQk0i4eIjrqFZi1iNqBdM3xMUr9IOLDr/wBGT3UkIX1Xk2/n3olIVQWs+rt63v+P4KvDVssXWLQnHUWB3nEhsirGzd3UOQp/syep50rZfipX73BUbYdC4jT1fOF0qHCAYaNrkZcKbyXCB4PrHnu+Vl8/exjeuk69TgcrZNmucBZBMdBlsnq+6Z0m3869E5Edn6pdzf6RcMMjekdTOywjk1TFuZIKbmijJsYfrTuh75K9C934f+eHaFY8r08MjVWSA1XlV7+mqly9TmNni8pJSs0D1ImqQji8vjWTVvfPVyuSN4H77KaUl1r3AVNZAqv/qZ73uBNKzoHJT5/YgOSzxew+nY+H0VBbSU+4p4uX7C3bn8Wy/XWLA2q6ZO9C3oFw85vwxSR1iKbzBIgboG0MLmjVoWwUBbrGBBEZ6IArC4W4WHRPaDVAHZ7Z+r46j6yR3KNH5HJdsp+OhrI89fX1r6qv69QlC+d7Q/q1DaOZv+z2684cbsnexdoOg141u3E64xCNA7pw2a4QViF+JsyOXGm73wz14/a5TVpN5x49ItfSJavTqpmf98iwjHAiN/0djq1UCxuteAHG/FvviJxWWWU162pqB42Q+SHiAjHBPqyaNaTOm46DGQU89f0ezJ5G/vdAH6JDfPSbU9h+JIS2VZfyJn2p7tLbCO7RI+LgDmUWcCSrCJOHkZFdrrwXjxAOwzpEA2q3bPJ6feNxYptP5FBSUU1UoDddojXeX0s4vJhgHxJigmqPqYktiAvzpbzKQsq5En0XNhiN5+eKbH4HLI3bNVwSEQfwU5LaGzIkPpwgHy+doxGigdoNlyEaG7Au2x3WKQKDTjVMhPMwGAxMqtmTasGupk0StYnud4BPiNo7emhxo24hiYjOFEWRYRnhvG76O/hHqQ+hnx67tEZHepKuc6/qSN2qdwSXUBSldn6IbHInGspaZ2jD8bNk5pfpG4zJF657QD3f9HajbuEec0QcWFJqHqnnSvE1ecj4sHA+ZfnnV6Pt+0E9LuZphhk79K1afHoHLG/AZpaeZvANs388NQ5mFJKeX4a3l5F+baWaqmiYlmG+XNcqhO2nclmYlMYfBrfVN6DrH4QNb0DqZnUD2RbXXdO3u0ciUpStdwRX9FPNapkbO0dKNUXhfEpywFJ59Wt0ngjO2aMw73fqXjIt+6q1UDyuMATqG6ZpnNbekAHtwvH2kv//ouEm9Yph+6lc5u9M46FBbfQd1guIgq6/U3fk3fQW/G7uNX276yciBemw6Am9o7isaovCoj0ZAIzvJsMyQmVdsne1Jby6LtlzJgUZ8MVkNRGK7gl3fqfuKOwgVhxS3yTJsIy4VuO6RvPCTwc4nFXIgYwCukQH6RtQ3+lqInJgIeSeAo+QBn+raycihVnw2XgoaMCEHo27ZAG2nMzhTGE5QT5etZucCXG5JXtV1Rbu/WQr+WVV/G18J27q0ly2AahPaR78bzLkp6hLDO/83qGSkOzCMnbXVFMd1lESEXFtgny9GN4pgl/2ZbJgZ5r+iUhUArQZAifWqMUO+z7d4G913USk6IyahOQcU0tST/4IvK5SsVDjLlk4X8RsdEIUpnqK1gj3EhN8aW2AKYmxfLLhJNuT87ivfxudInMSlaXw1W2QfUCdTHv3AvBzrDkYq2t6Q7q3CCJCqqmKRpjUM4Zf9mWycHc6z4zuiKeHzr9H+s5QE5Edn0HPhm+b4pqJSHEOfD5B3cQqIBru/QlCHevBXVFlYcneTABultUyogGmJMbwyYaTLD+QRV5JBcG+MjRzWdVV8P39kLIJzEFw1w8Q0krvqC6xombZrmxyJxprSHwEIb5enCksZ8PxHAbr3bPerAMEt1L3olr3aoO/zfXehpecgy8mQPZ+9Z3QtEUOl4QArD92hvzSSsIDzPRpo+2QkHBOXaKD6BgVQEW1hZ9r5hY5ja3vQ3U9k1ptQVFg8ZNweAl4mOH2r9QuYwdTVlnN+ppqqlLWXTSWydPIuJr5hfN3ntY3mLxUeLu3moQAbP+owd/qWolIaZ66GVfmXvCLgHt/hjCdlzVdgbWI2diuzfEwShEj0TBTE9VCRj/s0Pmhc62S5sEnI+HcSfu2s+rvsPNzMBhh6icQ19++7TXSpuM5lFZWEx3kTefmUk1VNN7kXmpNkWX7Mykqr9IvkIZspXIFrpOIlOWrE9MyksC3mTocE95B76guq7Siml8PqMv2bu4hwzKi4Sb0iMHDaCApNY9j2Y3fZMpmfMPUid5XY/RSJ4mm7YD3BsKe7+wTy5b3Yd1/1PNxr0GncfZpxwZW1CzblWqqoql6xAbTupkfZZUWlu7L1DucRnGNOSLlhfC/qeqDzicE7lkIEZ30juqKVh3KpqSimhYhPvSMDdY7HOFEwgPMDOkQzspD2fyw8zRPj+qob0DBsWqxMmtRs8uxrkab/6A6b2P+7+H4Shjzsu1Wsez7AX6pmaU/9FlInGab+9qBoiisOiTzQ4RtqCXfY3h1+REW7Dpd22vqTJy/R6SiGL68BU5vBe8gNQlxwDHhC/20W11OPL57tLwbEtfM+qBZsDONaouiczSoyUh0jysfwbHqce8iGPyMOmyy+yt4fxCk7Wx6+8dXw/w/AAr0fhAGzWr6Pe1of3oBGfll+Jo86Cvzw4QNWEu+bzyeQ0Z+qc7RXDvnTkQqSmDerZCyUZ0df/eP0Ly73lFdVUFZJasPnwFktYxonGGdIgjy8SKzoIwNx87qHU7DeXjC0NkwbTEEtoBzJ+Djm2DDm2C5cvG2q0rbCd/cpVZ37TwRRv8LHDy5t25yN6BdM6mmKmwiNtSX6+NCURT4cVe63uFcM+dNRCpL4evbIXkdmALg7vkQ00vvqOr16/4sKqostIvwp2OU4xRXEs7D7OlRm8T+oPdM+cZo1Q8eXgedxqsJxPL/B19OUQsQXouc4/Dl76CiCFoPgskfgNHxf7GvPGTd5E6GZYTtTKqZtLpg12kUxQF6Sq+BcyYilWXw9Z1q4RSTv1on4Bo32dGLdW+Zm2VYRjSBdXhm2f5MCso0WBZra76hcMsXMO518PSB46vgvf5wdHnDvr8wU10hV3IWorrBrV/WP2nWAWQVlLHndD4GAwyVaqrChsZ0bY7J08iRrCL2pxfoHc41cb5EpKocvr1Hnezm5avuHdGyj95RNUhOUXltV/p4GZYRTdCtRRDtIvwpq7SwxNlqilgZDHDdffDQGojoAsVn4MupsOyvV18GWJavTk7POwUhrdU3It7OsQR2VW011WDCAxw/cRLOI8jHq3bPogW7GrCtia01ZAXdFThXIlJdCd/dB0eXqe+i7vhG7eZ1Ekv2ZVJtUegaE0TrZn56hyOcmMFgOF9TxBmHZy4U0REeXAXXP6R+vukt+GgEnFwH6Ul1j5StMPdmyNoLPmHqkKy/8/QsWHfblU3uhD1M6qk+ExYmpVNV3ch5V41lXUH30Fr1mLakwd/qHMt3M/ZAgTeseAGSfztfMbH1IL0juyY/J50flhGiqSb1jOHfSw+xLTmX5LPFxDlzcuvlrS7nbTMUFk6HzD3wWT11QCoK1RolTqKsspr1x6zVVGV+iLC9wR3CCfUzcbaonHXHzjI0XuOE17pCDqCg4cNDztEjMncMfDRcTUIAxr8BbYfqG9M1Ss8rZWvyOQwGGNe9ud7hCBcQGejNgPbq3hK6l3e2lY5j4JEN0Lxn/ddWV1y9fomD2XDsLGWVFmKCfWSiurALk6eR8d3U3y8LduowPNNIzpGIXMyBi5VdyeKacfzecaE0D5Lt24VtnB+eScPiCDVFbCEwGsY1fMMsZ3F+kzuppirsZ1Iv9Znw6wGdS75fA+dMRJyQdbWMTFIVtnRT50gCvD1Jyytl80nn6R2ol8G1Hk1qNVV1fogMywh76t4iiDY1Jd9/2escE9nt+r/9+eefx2Aw1Dk6dtS5JLUOTp4tZm9aPh5GA2MSovQOR7gQby8PxtV0xf6ww3m6Yt3NvrQCsgrK8TN5cEObUL3DES7MYDDUboQ330mGZ+z+tqNLly5kZGTUHuvXr7d3kw7n55rekAHtmhHmL0v2hG1Zh2d+2ZdBsZN0xbob6yZ3A9uHY/Z0/KJrwrlN6KEmIptP5pCe5/gl3+2eiHh6ehIVFVV7NGvWzN5NOhRFUWRYRthVr5YhtG7mR0lFNb846e6brs6aiAyXZbtCA7Ghvlzfuqbke5Lj94rYPRE5evQo0dHRtGnThjvvvJOUlJQrXlteXk5BQUGdw9kdzCjkWHYRJk8jI7vI2LCwPYPBwOSaTa9+2OEiq2dcSEZ+KfvTC6SaqtCU9ZmwYGeaw5d8t2si0qdPH+bOncvSpUt59913OXnyJAMHDqSwsPCy18+ZM4egoKDaIzY21p7haeLnPWpvyLD4CAK8nafmgXAukxNbYDDAphM5nM4t0TucpmtIlUZPs3qdg7NuctczNphmMjQrNDKmm1ry/Wi245d8t2tBs9GjR9eed+vWjT59+tCqVSu+/fZbHnjggUuunz17NjNnzqz9vKCg4NJkxEkePqAOy/wswzJCAzHBPvRtE8bG4znM35nG48Pb6x1S01irNF6tTohv2PniSQ5s5UFZLSO0F+jtxY2dI1m8J4Mfdp4mISZI75CuSNPKqsHBwXTo0IFjx45d9nWz2YzZfJl3DNOWQIC/eu4kDx+AnSl5nM4txc/kIWPDwu6m9GpRk4ic5rFh7Zy/VsWFVRqdVElFFRuOq8mU7LYrtDa5ZwyL92Tw8+50/jqmE54ejrksXtOoioqKOH78OM2bX2Nl0ebdILqHejjRg8naG3JTlyi8vWSmvLCv0V2j8DN5kJxTwo5TuXqHI4D1R89SUWWhRYgPHSL99Q5HuJlBHcIJ8zNxtqiCdUfP6h3OFdk1EZk1axZr164lOTmZjRs3MmnSJDw8PLj99tvt2axDqLYoLK4pJiN7ywgt+Jo8Gd1VTfK/l0mrDsE6P2REp0jn76ESTsfLw1g7LWC+HjvyNpBdE5HTp09z++23Ex8fzy233EJYWBibN28mPDzcns06hM0ncjhTWE6wrxf927nXkmWhnyk15Z0X78mgrLJa52jcm8WisPLQ+bLuQujBWtzs1/2ZFJZV6hzN5dl1jsjXX39tz9s7NOuwzOgEdeayEFro0zqUFiE+nM4tZdn+zNrCRkJ7e9LyOVtUjr/Zkz6tnWOCvXA9XWOCaBvux/EzxfyyN5Nbejve9Ab5DWkHFVWW2sJSMiwjtGQ0Gphc0ysiwzP6sq6WGdShmbwZEbpRS76rz4T5uxzzmSD/O+zgtyNnyC+tJCLAzPWtZV8Joa0pNV2xG46dJTO/TOdo3FftbrsdZbWM0NeEHuob4s0nzpHmgCXfJRGxA2sRs3HdovEwygQ1oa1WYX5cHxeKRXHcd0CuLi2vlIMZBRilmqpwAC1CfGs3W/zRASetSiJiY6UV1Sw/oHbJ3txDhmWEPqYkni/57ujlnV3RqpphmV4tQwj1M+kcjRAwuac6PLNgl+OVfJdExMZWHMyipKKalqG+dG/huJXshGsb07U53l5Gjp8pZvfpfL3DcXlpeaXsS8uvPRbUvOvsEh3EvrR8h+wOF+5ldNcozJ5GjmUXsTfNsZ4JmlZWdQfnS7o3l7oBQjcB3l6M6hLFj0npfL8jlR6xwXqH5LLS8koZ9p81lFdZLnnts03JfLYpGbOnkVWzhhAT7KNDhEKoz4QbO0eyaE8G83em0a1FsN4h1ZIeERvKL61kzeEzANzcXZZNCn1NSVS7Yn/enUF5ldQUsZfc4orLJiEXKq+ykFtcoVFEQlyetabIz7vTqay++r9ZLUki0gQXd8d+vP4EFdUWWob6UFltke5Yoat+bZvRPMib/NLK2gqfQgj3NbB9OM38TeQUV7Du6Bm9w6klQzONdLXu2JRzpYz773rpjhW68jAamNQzhnfWHOf7HacZ0/Ua93gSQrgUa8n3TzckM39nGsMcZGm59Ig0knTHCmdgHZ5Ze+QMZwrLdY5GCKE36+qZXw9kUeAgJd8lERHChbUN96dny2CqLQoLkxyvfoAQQlsJMYG0i/BXK4DXbMyqN0lEhHBxUy4o+e5o9QOEENpSS76rk1bn73SMNyeSiAjh4sZ3i8bkaeRQZiH70wv0DkcIobOJPWIwGGDLyXOczi3ROxxJRIRwdUG+av0AgB92Ssl3WwvxM9W7lYPZ00iIVFgVDiI62IcbanaEdoSS77JqRgg3MLVXCxbvyWBhUjqzR3eS3WBtyORhxMvDQLVF4S+jO9GvXdgl14T4mWT1nHAoQzqGs+lEDl9tTWFwh/BLCnBq+W9WEhEh3MDA9s0IDzBzprCcNYezualLlN4huYx31hyjrNJC9xZBPDiotVRUFg4vLa+UV349UnNexvi3NlxyjZblJ+RtUSOF+Jmob2Nd6Y4VjsLTw8iknuoEte93yPCMrZzOLeHLzSkAPDWyoyQhwinkFldQ4UDlJ6RHpJFOninGooDRAG/d3pOWYX6XXCPdscKRTOnVgg9+O8Hqw9mcK66QXWFt4M2VR6mottC3TRj9LzMkI4SonyQijVBVbeHFRfsBuKdvHGO6ResckRD1i48KICEmkH1pBfyUlMa0/q31DsmpHcsuqu1dempUvPSGCNFIMjTTCPO2pnAkq4gQXy+eHNFB73CEaLCp1poisnqmyV5dfhiLAjd2jqRXyxC9wxHCaUmPyDXKLa6oneQz86Z4gny9dI5IiIbr3ToUTyPsSytg0Z504i4aUpThxIbZezqfJXszMRhg1k3xeocjhFOTROQavbbiCPmllXSMCuCO61vqHY4QDZaWV8rkdzZinaM2Y96uS66RjRob5uVfDwNqYaj4qACdoxHCucnQzDU4lFnA/zafAuC58Z3rLWIkhCORjRptY/OJHH47cgZPo0GGZoWwAUlEGkhRFF78+QAWBUYnRNGvbTO9QxJCaExRFF5epvaG3HZ9LC3DfHWOSIhrF+JnwlxPUUMty0/I0EwD/Xogi43HczB5GvnLmE56hyOE0MGqQ9nsOJWLt5eRx4e11zscIRolJtiHVbOG1On9rKiu5g+f7+RMUTn39G3FHwa31WyIVnpEGqCsspp/LD4IwEMD2xAbKu+ChHA3Fsv53pB7+8UREeitc0RCNF5MsA8JMUG1R6+WofxlbEcAFuxMw8fLQ7NYJBFpgE82nCTlXAlRgd48OrSt3uEIIXTw8550DmUWEuDtySOD5TkgXM+E7jF0bh5IYXkV/111VLN2JRGpR1ZBGW+tOgbAM6M74muS0Swh3E1ltYVXl6vL9v8wqA3BvlKVVrgeo9HA7DFqr8j/Np8iJadEm3Y1acWJ/WvpIUoqqunVMpgJPaSCqhDu6LvtpzmVU0IzfxP3SUVa4cIGtg9nYPtmVFYrtcvU7U0SkavYlZLL/J1pAPxtfBcp4SycmqPNlHcWZZXVvLFS7Q2ZPrQdfmbpFRWu7elRHTEY4Ofd6ew5nWf39uyeiLz99tvExcXh7e1Nnz592Lp1q72btAmLReGFnw8AMDWxBd1jg/UNSIgmss6UX/TYgDrH5F7qrrxxYb6smDlYipld5PNNyWQVlBMT7MMdfaSIoXB9CTFBTOyhPhfmLDmEoih2bc+uicg333zDzJkz+dvf/sbOnTvp3r07I0eOJDs7257N2sSPSWkkpebhZ/LgzyOlhLNwDRfPlE+ICeK5cZ0J8PYkOaeEHady9Q7RoRSWVfLOmuMA/HFEe8ye2q0kEEJPf7qpAyYPI5tO5LDmyBm7tmXXROTVV1/lwQcf5L777qNz58689957+Pr68sknn9iz2SYrLq/ipV8OAfDY8PayTE+4tGBfEw/XrAJ5dfkRKuqpvupOPlx3krySStqG+zG5Z4ze4QihmRYhvtzbrxUA//rlENUW+/WK2C0RqaioYMeOHYwYMeJ8Y0YjI0aMYNOmTfZq1ibeXn2M7MJyWoX5cl//OL3DEcLu7usfRzN/MynnSvhmW4re4TiEnKJyPl53AoA/3RSPp4dMqRPuZfrQdgR6e3Ios5AFu9Ls1o7d/medPXuW6upqIiMj63w9MjKSzMzMy35PeXk5BQUFdQ6tpeSU8NG6kwA8O7azdMUKt+Br8uTx4e0AeGPlMUoqqnSOSH/vrDlOcUU1XWOCGJ0QpXc4Qmgu2NfE9KHqc+GVXw9TVlltl3YcKsWfM2cOQUFBtUdsbKzmMfxjyQEqqi0MbN+MEZ0iNG9fCL3c1rslsaE+nC0q59MNyXqHo6v0vFK+qNng8qmR8bJiTrite/vFER3kTUZ+GXM3JtulDbslIs2aNcPDw4OsrKw6X8/KyiIq6vLvLmbPnk1+fn7tkZqaaq/wLmvDsbMs25+Fh9HAc+M6y8NHuBWTp5E/3ahOzH5v7XHyStx3F943Vx6lospCn9ahDGwvG1wK9+Xt5cHMm9Tnwturj9lld267JSImk4nExERWrlxZ+zWLxcLKlSvp27fvZb/HbDYTGBhY59BKVbWFF2uW6959QyvaRwZo1rYQjuLm7tF0jAqgsKyKd9ce1zscXZw4U8R3O04D8OdR0hsixKSeMbXPhbdXH7P5/e06NDNz5kw+/PBDPvvsMw4ePMgjjzxCcXEx9913nz2bbZR5W1M4nFVIiK8XT47ooHc4QujCaDTwVM1y9bkbksnML9M5Iu29svwI1RaF4R0jSGwVqnc4QujOw2jgmdFq6ffPN50i9ZxtS7/bNRG59dZb+c9//sNzzz1Hjx49SEpKYunSpZdMYNVbbnEFr/yqVk6ceVM8Qb5eOkckhH6GdYzgulYhlFdZeFPDja8cwb60fBbvycBggFlSP0iIWoM7hNOvbRgV1RZesXHpd7tPVp0xYwanTp2ivLycLVu20KdPH3s3ec1eX3GE/NJKOkYFcHtv7SfICuFIDAYDT9e8+/lmWyonzxbrHJF2/lPzgL25ezSdmms3NCyEozMYDMwe3QmAH5PS2ZeWb7N7O9SqGT0czizkf1vUugnPjesstQKEAHrHhTI0Ppxqi1K766yr23ryHGsOn8HTaJDhWSEuo2uLIG7urm7++q+lh2x2X7f+rasoCi8u2k+1RWFUlyj6tZPZ8UJYPTVS7RX5ebdt3/04IkVReHmZ+mC9pXcscc38dI5ICMf01Mh4vDwMrDt6lt9sVPrdrROR5Qey2HAsB5Onkb+O7aR3OEI4lM7RgUzoob77eXmZNtuB62XN4TNsS87F7Gnk8WHt9Q5HCIcVG+rL3TfEAfDSL4ew2KD0u9skIml5pexLy689dpw6x3ML9wMwsUc0RqMs0RPiYjNv7ICn0cDaI2fYfCJH73DswmJRahOte/vFERUke0sJcTUzhrUjwOzJgYwCFu5ueul3TxvE5PDS8koZ9p81lF9hM69vt59mYVI6q2YNkS3QhbhAqzA/brs+lv9tTuHfSw/xwyP9nLquRlpe6SUFmX47coYDGQX4eHkwsaYHSAhxZaF+Jh4Z2pZ/Lz3Mf5YdYXRCc7y9Gr8dilskIrnFFVdMQqzKqyzkFldIIiLERR4f1p7vd5xmZ0oeKw5mc2Nnx1p+31D1vSEpraxm0jsb5Q2JEA1wf//WfL7xFGl5pXyx6RQPDmrT6Hu5zdCMEKJxIgK9ua9/awD+s+ywXbcDt6dreUMihLg6by8PZt6ori57a/Ux8ksqG30vSUSEEPV6eFBbAr09OZxVyMIk+20HLoRwHlMSW9Ah0p/80kreWdP40u+SiAgh6hXk68UjQ9TtwF9dfoSKenoWhBCu78LS759uTCYtr7RR95FERAjRINP6xRERYOZ0bilfbU3ROxwhhAMYGh9Bn9ahVFRZePXXxhU/lERECNEgPiYPHh+u1tj476qjFJdX6RyREEJvBoOB2WPUOlzzd53mQHrBNd/DLRKR1HPus1eGEPZ0a+9YWoX5craogk/Wn9Q7HCGEA+gRG8zYbs1RlMaVfnf5RKSssppXlte/g6jZ00iIn0mDiIRwXl4eRv50k7or7Qe/nXCqFSblVdV6hyCEy/pzTen3tUfOsOHY2Wv6XpevI/LSL4c4ll1EsI8Xb97eg1A/82WvC/EzSe0AIRpgXNfmvLfmOAcyCnh37XH+Msbxt0dQFIX31x6v9zp5QyJE47QK82NCjxi+33Ga5xbu4/9GN7yuiEsnIisOZDF3YzIAr93Wg0EdIvQNSAgXYDQaeGpUPPd9uo25G5O5r38czYMcO4l/Z81xfj2QjdEAL05IoEds8GWvkzckQjROWl4pPyWlA3D8TDG3fbilwd/rsolIZn4ZT32/G4DfD2jN0HhJQoSwlSEdwrm+dShbT57jzZVHmTO5m94hXdEvezNq95J5cUICd93QSueIhHA9ucUVVFQ3blm/S84RqbYoPPlNErkllSTEBPLUqHi9QxLCpRgMBp6u+X/17fbTHD9TpHNEl7cvLZ8nv00C1OXHkoQI4XhcMhF5d80xNp3IwdfkwZu39cTs2fjNeIQQl5fYKpQRnSKotiiNrh9gT1kFZTzw2TbKKi0M6hDOs2Mdfy6LEO7I5RKRHafO8doKdZXM/01IoE24v84RCeG6Zo2Mx2CAxXsz2Hs6X+9wapVWVPPg59vJKiinXYQ/b93RE08Pl3vcCeESXOp/Zn5pJY9/lUS1RWFij2gm94rROyQhXFrHqEAm9lD/n/172bXXD7AHi0Vh1ne72XM6nxBfLz6+9zoCvb30DksIcQUuM1lVURT+Mn8vaXmltAz15f8mJmAwGPQOSwiXd8f1Lfl5dxrrjp7ly82n6H7RihStV6K8vvIoi/dm4OVh4L27EmkV5qdZ20KIa+cyicg321JZvDcDT6OBN2/vSYC8AxLC7tLySrnr4y1Y98D764/7LrnG7Glk1awhmiQjC5PSeHOlOjT7j0ld6dMmzO5tCiGaxiWGZo5lF/L8z/sBeGpk/BVrBAghbCu3uILyenbiLa+yaFKBdVdKLk99vweAPwxqwy3Xxdq9TSGEKsTPhNmzcSmF0/eIlFVWM2PeLsoqLQxs34wHBza8mpsQwjWk5ZXy4Oc7qKiyMKJTJH8e1VHvkIRwKzHBPqyaNaT2TUdRYQF9X2/Y9zp9IvLSL4c4lFlImJ+JV27pjtEo80KEcCfF5VX8/rPtnC0qp2NUAK/f1gMPeQ4IobmYYJ/aIdiCgob/H3TqoZnlF5Rwf+WW7kQEeOsbkBDisorKq+xyX4tF4YlvkjiYUUAzfxMf3Xsd/manf38lhFtx2kTkwhLuDw5szRAp4S6Ew7rv023MWXKQrIIym97338sOs/xAFiZPI+/ffR0tQnxten8hhP05ZSJSbVF44ptd5JVU0jUmiKdGyniwEI6stLKa9387wcB/reaZH/ZwwgYl4b/bnsp7NTvq/ntKNxJbhTT5nkII7TllIvLO6mNsPnFOLeF+e09MjZypK4TQxnPjOtE7LoSKagtfb0tl+KtreeR/O9idmteo+21LPsdfFuwF4LFh7ZjYU4oXCuGsnG4wdXvyOV5feb6Ee+tmUqxICL1Yl+xdbQmv2dPIyITm3D+gDduSz/HemuOsPJTNL/sy+WVfJv3bhfHI4Hb0bxfWoCKEqedK+MMXO6isVhidEMWTIzrY8kcSQmjMoCiKYo8bx8XFcerUqTpfmzNnDs8880yD71FQUEBQUBD5+fkEBgaSX1rJmDfWkZZXyqSeMbx2aw8bRy2EuFZpeaVXrRNyucqqhzMLeX/tcRbuTqfaoj6CEmICeWRwO0YlROFhNFz2vsXlVTz1/W5SzpXSIdKfH6f3x9fkdO+nhHB5F//+vhq7JiIPPPAADz74YO3XAgIC8PNreA/GhT9IQEAAM+btYvHeDFqF+bLosQFSPVUIJ3c6t4SP1p3k620plFWqvSpxYb7ccl0sr688SsVVelpMHkZWP6VNxVYhxLW5lkTErm8lAgICiIqKssm9vr6whPttUsJdCFfQIsSX52/uwuPD2/PZxmQ+25RMck4J/152uN7vrahWK7ZKIiKEc7PrLM+XXnqJsLAwevbsycsvv0xVVeNqCfy6L4O//aTuYfHQoDaXbKolhHBuoX4mnryxAxueHsZz4zrTzN+kd0hCCI3YrUfk8ccfp1evXoSGhrJx40Zmz55NRkYGr7766hW/p7y8nPLy8trPCwoKAJj53R6MZrU+wMfrT3LnDa3kXZAQLsjP7Mn9A1rTs2Uwk97ZqHc4QggNXFOPyDPPPIPBYLjqcejQIQBmzpzJkCFD6NatGw8//DCvvPIK//3vf+skGhebM2cOQUFBtUds7KWbVmm1gZYQQj9eHrIkXwh3cU09In/605+YNm3aVa9p0+bym8716dOHqqoqkpOTiY+Pv+w1s2fPZubMmbWfFxQUXDYZEUIIIYRruKZEJDw8nPDw8EY1lJSUhNFoJCLiyqXYzWYzZrO5UfcXQgghhPOxyxyRTZs2sWXLFoYOHUpAQACbNm3iySef5K677iIkRMowCyGEEEJll0TEbDbz9ddf8/zzz1NeXk7r1q158skn6wy7CCHElTS0YmuIn6yuEcLZ2SUR6dWrF5s3b7bHrYUQbiAm2IdVs4Zcc8VWIYTzkdrIQgiHFBPsI4mGEG7A6dbISXesEEII4Tqcokfk2z/cgH+AWqteumOFEEII1+EUiUjn6KB6N80RQgghhPNxuqEZIYQQQrgOSUSEEEIIoRtJRIQQQgihG0lEhBBCCKEbSUSEEEIIoRtJRIQQQgihG0lEhBBCCKEbSUSEEEIIoRtJRIQQQgihG4eurKooCgAFBQU6RyKEEEKIhrL+3rb+Hr8ah05EcnJyAIiNjdU5EiGEEEJcq8LCQoKCgq56jUMnIqGhoQCkpKTU+4Ncq969e7Nt2zaHv6e97iuxOtd93T3WgoICYmNjSU1Ntem+U87052qv+0qsEqs97qsoComJiURHR9d7rUMnIkajOoUlKMj2m955eHg4xT3tdV+J1bnuK7GqAgMDbXpvZ/pztdd9JVaJ1V73NZlMtb/Hr8ZtJ6tOnz7dKe5pr/tKrM51X4nVPpzpz9Ve95VYJVZ73beh9zQoDZlJopOCggKCgoLIz8+32zssIYTjk2eBEK7LoXtEzGYzf/vb3zCbzXqHIoTQkTwLhHBdDt0jIoQQQgjX5tA9IkJcicFg4Mcff9Q7DCGEzuRZ4PwkEdHZpk2b8PDwYOzYsXqHoqtp06YxceJEvcPQRWpqKvfffz/R0dGYTCZatWrFH//4x9o6OvVZs2YNBoOBvLw8+wYq7EqeBSp5Frjfs0ASEZ19/PHHPPbYY/z222+kp6c36V7V1dVYLBYbRSa0cOLECa677jqOHj3KV199xbFjx3jvvfdYuXIlffv25dy5c3qHKDQizwL35s7PAl0TEXfOfAGKior45ptveOSRRxg7dixz586tfc2a2S5evJhu3brh7e3NDTfcwL59+2qvmTt3LsHBwfz000907twZs9lMSkqKDj+JbcXFxfH666/X+VqPHj14/vnndYnHnqZPn47JZOLXX39l8ODBtGzZktGjR7NixQrS0tL461//CkB5eTlPP/00sbGxmM1m2rVrx8cff0xycjJDhw4FICQkBIPBwLRp03T8iRpHngXyLLgceRa4x7NAekR09O2339KxY0fi4+O56667+OSTTy6py//UU0/xyiuvsG3bNsLDwxk/fjyVlZW1r5eUlPCvf/2Ljz76iP379xMREaH1jyEa6dy5cyxbtoxHH30UHx+fOq9FRUVx55138s0336AoCvfccw9fffUVb775JgcPHuT999/H39+f2NhYfvjhBwAOHz5MRkYGb7zxhh4/jmgCeRa4N3d/FjhMIrJ06VIGDBhAcHAwYWFhjBs3juPHj9e+npycjMFgYP78+QwdOhRfX1+6d+/Opk2bdIy6aT7++GPuuusuAEaNGkV+fj5r166tc83f/vY3brzxRrp27cpnn31GVlYWCxYsqH29srKSd955h379+hEfH4+vr6+mP4NovKNHj6IoCp06dbrs6506dSI3N5dt27bx7bff8sknnzBp0iTatGnD8OHDufXWW/Hw8KjdCiEiIoKoqCibb4egNXkWyLPA3bj7s8BhEpHi4mJmzpzJ9u3bWblyJUajkUmTJl0yzvnXv/6VWbNmkZSURIcOHbj99tupqqrSKerGO3z4MFu3buX2228HwNPTk1tvvZWPP/64znV9+/atPQ8NDSU+Pp6DBw/Wfs1kMtGtWzdtghZ2Ud8K+uTkZDw8PBg8eLBGEelLngXyLHBX7voscJi9ZqZMmVLn808++YTw8HAOHDhAQkJC7ddnzZpVO6v8hRdeoEuXLhw7doyOHTtqGm9Tffzxx1RVVdXZEEhRFMxmM2+99VaD7+Pj44PBYLBHiLoxGo2X/Ie8sAvaVbRr1w6DwcDBgweZNGnSJa8fPHiQkJCQS7pqXZ08C+RZYCXPApWrPwscpkfk6NGj3H777bRp04bAwEDi4uIALplwdWHG37x5cwCys7M1i9MWqqqq+Pzzz3nllVdISkqqPXbv3k10dDRfffVV7bWbN2+uPc/NzeXIkSNX7L5zFeHh4WRkZNR+XlBQwMmTJ3WMyD7CwsK48cYbeeeddygtLa3zWmZmJl9++SW33norXbt2xWKxXNJVb2UymQB1pYQrkGeBPAus5FngHs8Ch0lExo8fz7lz5/jwww/ZsmULW7ZsAaCioqLOdV5eXrXn1uzf2ZapLVq0iNzcXB544AESEhLqHFOmTKnTJfviiy+ycuVK9u3bx7Rp02jWrJnLry4YNmwYX3zxBevWrWPv3r3ce++9eHh46B2WXbz11luUl5czcuRIfvvtN1JTU1m6dCk33ngjMTEx/OMf/yAuLo57772X+++/nx9//JGTJ0+yZs0avv32WwBatWqFwWBg0aJFnDlzhqKiIp1/qqaRZ4E8C6zkWeAezwKHSERycnI4fPgwzz77LMOHD6+dmOOqPv74Y0aMGHHZiURTpkxh+/bt7NmzB4CXXnqJP/7xjyQmJpKZmcnPP/9cm/W6EovFgqenOlI4e/ZsBg8ezLhx4xg7diwTJ06kbdu2OkdoH+3bt2f79u20adOGW265hbZt2/LQQw8xdOhQNm3aVDv57N1332Xq1Kk8+uijdOzYkQcffJDi4mIAYmJieOGFF3jmmWeIjIxkxowZev5ITSLPgvPkWSDPArd5Fig6uvfee5UJEyYo1dXVSlhYmHLXXXcpR48eVVauXKn07t1bAZQFCxYoiqIoJ0+eVABl165dtd+fm5urAMrq1at1id+eVq9erQBKbm6u3qFoYuTIkcr06dP1DkPoRJ4FVybPAuHqdO0RsWa+RqORr7/+mh07dpCQkMCTTz7Jyy+/rGdoQiO5ubksWrSINWvWMGLECL3DETqRZ4GQZ4H70nXVTHZ2Nu3atQNgxIgRHDhwoM7rygWzpePi4i6ZPR0cHFzvcifh2O6//362bdvGn/70JyZMmKB3OEIn8iwQ8ixwXwZFh/+9ubm5bNiwgalTp/L111+7/IQrIcTlybNACKFLj4hkvkIIkGeBEEKnHhEhhBBCCHCQ5btCCCGEcE+SiAghhBBCN5KICCGEEEI3dk9E5syZQ+/evQkICCAiIoKJEydy+PDhOteUlZUxffp0wsLC8Pf3Z8qUKWRlZdW5JiUlhbFjx+Lr60tERARPPfXUJTttrlmzhl69emE2m2nXrh1z5861948nhGgArZ4DGRkZ3HHHHXTo0AGj0cgTTzyhxY8nhGgCuycia9euZfr06WzevJnly5dTWVnJTTfdVFuSFuDJJ5/k559/5rvvvmPt2rWkp6czefLk2terq6sZO3YsFRUVbNy4kc8++4y5c+fy3HPP1V5z8uRJxo4dy9ChQ0lKSuKJJ57g97//PcuWLbP3jyiEqIdWz4Hy8nLCw8N59tln6d69u6Y/oxCikbQu5Zqdna0Aytq1axVFUZS8vDzFy8tL+e6772qvOXjwoAIomzZtUhRFUZYsWaIYjUYlMzOz9pp3331XCQwMVMrLyxVFUZQ///nPSpcuXeq0deuttyojR460948khLhG9noOXGjw4MHKH//4R/v+IEKIJtN8jkh+fj5A7QY+O3bsoLKysk5J344dO9KyZUs2bdoEwKZNm+jatSuRkZG114wcOZKCggL2799fe83FZYFHjhxZew8hhOOw13NACOF8NE1ELBYLTzzxBP379ychIQGAzMxMTCYTwcHBda6NjIwkMzOz9poLHz7W162vXe2agoICSktL7fHjCCEawZ7PASGE89G0sur06dPZt28f69ev17JZIYQDkeeAEOJCmvWIzJgxg0WLFrF69WpatGhR+/WoqCgqKirIy8urc31WVhZRUVG111w8e976eX3XBAYG4uPjY+sfRwjRCPZ+DgghnI/dExFFUZgxYwYLFixg1apVtG7dus7riYmJeHl5sXLlytqvHT58mJSUFPr27QtA37592bt3L9nZ2bXXLF++nMDAQDp37lx7zYX3sF5jvYcQQj9aPQeEEE7I3rNhH3nkESUoKEhZs2aNkpGRUXuUlJTUXvPwww8rLVu2VFatWqVs375d6du3r9K3b9/a16uqqpSEhATlpptuUpKSkpSlS5cq4eHhyuzZs2uvOXHihOLr66s89dRTysGDB5W3335b8fDwUJYuXWrvH1EIUQ+tngOKoii7du1Sdu3apSQmJip33HGHsmvXLmX//v2a/axCiGtj90QEuOzx6aef1l5TWlqqPProo0pISIji6+urTJo0ScnIyKhzn+TkZGX06NGKj4+P0qxZM+VPf/qTUllZWeea1atXKz169FBMJpPSpk2bOm0IIfSj5XPgcu20atVKg59SCNEYsvuuEEIIIXQje80IIYQQQjeSiAghhBBCN5KICCGEEEI3kogIIYQQQjeSiAghhBBCN5KICCGEEEI3kogIIYQQQjeSiAghbG7NmjUYDIZL9o4RQoiLSUEzIUSTDRkyhB49evD6668DUFFRwblz54iMjMRgMOgbnBDCoXnqHYAQwvWYTCbZEVcI0SAyNCOEaJJp06axdu1a3njjDQwGAwaDgblz59YZmpk7dy7BwcEsWrSI+Ph4fH19mTp1KiUlJXz22WfExcUREhLC448/TnV1de29y8vLmTVrFjExMfj5+dGnTx/WrFmjzw8qhLAL6RERQjTJG2+8wZEjR0hISODFF18EYP/+/ZdcV1JSwptvvsnXX39NYWEhkydPZtKkSQQHB7NkyRJOnDjBlClT6N+/P7feeisAM2bM4MCBA3z99ddER0ezYMECRo0axd69e2nfvr2mP6cQwj4kERFCNElQUBAmkwlfX9/a4ZhDhw5dcl1lZSXvvvsubdu2BWDq1Kl88cUXZGVl4e/vT+fOnRk6dCirV6/m1ltvJSUlhU8//ZSUlBSio6MBmDVrFkuXLuXTTz/ln//8p3Y/pBDCbiQREUJowtfXtzYJAYiMjCQuLg5/f/86X8vOzgZg7969VFdX06FDhzr3KS8vJywsTJughRB2J4mIEEITXl5edT43GAyX/ZrFYgGgqKgIDw8PduzYgYeHR53rLkxehBDOTRIRIUSTmUymOpNMbaFnz55UV1eTnZ3NwIEDbXpvIYTjkFUzQogmi4uLY8uWLSQnJ3P27NnaXo2m6NChA3feeSf33HMP8+fP5+TJk2zdupU5c+awePFiG0QthHAEkogIIZps1qxZeHh40LlzZ8LDw0lJSbHJfT/99FPuuece/vSnPxEfH8/EiRPZtm0bLVu2tMn9hRD6k8qqQgghhNCN9IgIIYQQQjeSiAghhBBCN5KICCGEEEI3kogIIYQQQjeSiAghhBBCN5KICCGEEEI3kogIIYQQQjeSiAghhBBCN5KICCGEEEI3kogIIYQQQjeSiAghhBBCN5KICCGEEEI3/x8bnSaEmnBMaQAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# calculate monthly anomalies\n",
        "climatology = ds.groupby(\"time.month\").mean(\"time\")\n",
        "anomalies = ds.groupby(\"time.month\") - climatology\n",
        "anomalies.mean(\"location\").to_dataframe()[[\"tmin\", \"tmax\"]].plot()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "I_YW-_s-n7lu",
        "outputId": "90812993-2a17-42fc-b6c1-828e96eb4bce"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# we can calculate standardized anomalies\n",
        "climatology_mean = ds.groupby(\"time.month\").mean(\"time\")\n",
        "climatology_std = ds.groupby(\"time.month\").std(\"time\")\n",
        "stand_anomalies = xr.apply_ufunc(\n",
        "    lambda x, m, s: (x - m) / s,\n",
        "    ds.groupby(\"time.month\"),\n",
        "    climatology_mean,\n",
        "    climatology_std,\n",
        ")\n",
        "\n",
        "stand_anomalies.mean(\"location\").to_dataframe()[[\"tmin\", \"tmax\"]].plot()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 470
        },
        "id": "5tWJoGIMn_0-",
        "outputId": "7d881bc4-587a-4e62-8d10-f85a011ba9ea"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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XKfIPYoPtAItWraNddXPgbf97Bz74m/tx34vld8r2xGdRu41yo6tmcFHBbjwwjCjjpVvoUvsW3UYA8PL95YtsEzrEMIz0NefsDfxyz3xRokSSulZJ5mV9ojZeANw/czHOuulZDLaH/2BtY1ODcPi6jQqvo564PPp3pq6yr0xf4Gj1HfmLe7DfD27D7MVrqrlvRVg7FLXbO557rXRZPquZl2GLshszjqRoo665jYS+ftlHgFl3VVPu0Gr5777xpYoLQ47BFjEf8VDOVt7KIZitmZcNDx+/4EH87u5Z+OP9s7t6H9bljl/KbdT1aKPq16TlKHpxDx+3DvxSx2i59ZmFZW48rMFq5qUUardRAYQBsHbpurmX+gyu+EQ15ap9pXdsqeJWDbRlFjRGGR0aYbwMljReuipQz0BtvAiYs3T9hX25wiaQKjU21RNVDSjRRt2a7OY9ClzzeWDl/O6Uv6GidJ6XYSpMv+gI4MfbAYtfSI+tk+0Bhm+5y9YO0Qu+MuM0JditmZcNA+tTOV0FyjEvw1Tz0jUUD5WubFwdhs1NWu11K9rogncCj/8lDeXdoFCiD2a1wzwb61FlDVfm5ZVO/qUnrxQOrgvBLvF3ZeWW6ztG44UHxdM8SMxLdF1ZzUsdbTRMUDRFyrqEbeIsFSrd5e0Bhp/bSCqpqoKGF/qX5XpIYcjB1mWel9ee6W756wGFZWfLZgNn7wbcd475nDyal64ZLyNgkLShWwacWm7JvrN8bcvgNlLrn8d4SdtPXHbZUOn1idp4EdBtTUq3EQ5jwW43UMrfugEmqZN+xkt3A/+7LXDdKc7XB5wrbqMKjJd5jwILnzbcsKDBHAbAk38Dls/JPnek4JZvAivnAbd+Uz4uvtQ8biNqki7bzofWAi/eVq4MV4x0t1FJ48XEvFz32FzltsWYlwai+tVuoxrDAmVsl/WdYZdzjgUr8qXVLjcWr7+NGR+ctQRzlqxFV1exd/04+nfGn50vCUKuuI1KDmz9yyIX0W8Pol9W0QH+0T8AV50I/OJN5erXBewYzgKu/mx+w0rcG0eE+IxyCXa7wLxcfRLw3A3lyljf6NZCRSl2zUC5LQKWGZiX71z3pHLf16/xUm8PIGAkEC+2Kg5nzUuW8fKd65/BxffPxk8/vCf+fd+tuloXAN3LtJmBZ+evxEfPfwAAMHtCtWWXVf5HxovoNio5sK0WQrc51ztY0Qi3WXfGhRa7vou4nJ8OPAFg5avAp3JM9CbDQuyXpZmXku9znRouI5t5WbKqH2NKlLZi7ZDswu0gYkYLLjCE9hMbL2WjjdYnauZFwEgQ7NpcWyPZbXRxJ0z9xzdXk1pbBPnIuPGPruKpeSvW2b3yIuAq81LWbZQRjl5YZzX8+ymWv5zvfBMLJRkveTQvXTBe1iXWxfYAlZYrjyFtKsFcDgwFnGzlDFxZeOX4PQJz53eMl9KC3fXYFWvjRcBIYF5sGM6CXVf0Nt2bpOuv9bKsl3XIvDT84dvIwpBXuzGj9Nwpt9HI01k5I2+SMpOh+ND56eey0UYVG+lHnn0X/ueaJ7NPdAYzfK4QXevrUbkvh5OivyrYVNEzMS9FjRcBMfPSLsuuCli6Zqj0LtV5UBsvHfRiCPss/r8RnXuiXIbd7kaWuA5FfY081HiJe0udfh0aL3kmoJwoO260q9a8CE/+ufnL8ex8dX+q4ef2qQx9E/Kdb3rWt38n/VyYeenO9gDPL1yJyx7skmh6pK0kO52vjWj8Cksm/eTgpObFZ1UZL9F17aC6PrjP927Fly6fUVl5WaiNlw6+0rgCR88+KxIYjlCMZMFujL5myURc1L1J4qXKSdodDSEenw+zATpUNS8V5nk57sIH8JHzplWzl8owe24kRk3Id77LCjjX9gDdz/MyAt6Cjq4JdqNn24plpGXbOaefr4ew+NglXNdg0XjfLjVp6Pi/x1+ttDwbauOlg3d6j0UfVq27h181SrmNurw9gCt6GxU3yQfOwzn+LxIfb4r14zbyGccPGr/Hh/0719k9XRFpXrrjNloz0MKqwfaIjm7IhtCOcjMvFTOf60Dz0o3cTWLpXUHXFirRswg6Uyov+T45QAp2PdVtlOsdCMZLzLxUbLysS9TGywhD15LUmZiXdZwDJZN5CUPsxV5EL4bcomtu/ire4z2Io70H5OPS71p3v3HygttxXON2/KR5/rBLL9MOeNc2ZownulJtdJhjNIQdx/MyLy7POs+zWwfGC5lErSqMtDwvnXfT6riNeEkNIVfF8x1UpXmJF3Pt0hl21x9q46UDWts9stAVzUtFk43rKi2TeXnwt7i290xc0PxZrqptxJS8C+spVLo5OHyjjULO5fdU4WQXD8RVtabhiPEQdhtvjs53sRPLlcd4odxGjsccUTnzsi7cgdrvreo3xMxLx3gpyVpyTj9fr0y0kfDbmx3jpdScsZ5RGy8djBTjxRbOXUo43vXtAdyQxbzwhy8EALzDfxLL1g7hzudfK9gBizMvZTIxi8zDcBs2gi5GG8UDcTUZ6odnX53AViefh9o5n13V7ox1aLyUStFgKb0r6HKodDthXqqINnJhXoq5jdJQ6eE2CrmjNl42IHTFbVTZWtmReckKlRZEizMXrcGn/vAwLnswZ04NQBG9rbsOXPU4L4Ymlg1T1DPsVpfnJWVeRu5gmQXReLnzuQX5LqaetWo8FnUbxdd1SfPSFd3EOnMbVXWfjtuIR8ZLUNZtBMBjFbuNRMFuEm00cjVoG7zx8tyClVg9mB1JM2KYF0s1i2TYXTXQwj+eXlA6qVIZiJNub1aoNJFl9O9PZU8U2pNZT6HSoUCPVTFuhPMew5ZYVL4gEILdSie7WPNSYZHDDKORuiZfWrzGciYBijbVFhTFVtn2UOnyzEuVuULE0ruCbrmNOs+23Yk2unHGK7jykbm2K+zFcYCqGyuleRGNl+5EG61LbNDGy30vLsaRv7gHR5x9d+a5I+UVemEbX/Cvw57sRe27Iivvz13yKD53yaN4aOZr9AmVsRLmckTqsi+TeSk2qOlXrX/mZfVgSYNxyUz4Fx6K+/q+VK6cDjTmpUK3kZcYLyOlp+VHU4hoy60HoSYh1XgpyLzc/fxr+MGNz4BXvFlj/HZHNvNSVbGx2ygavzyE+Mrfnki/W/gMELinozDmeSlhvIjzQ4PF0UY18zIsceOTUcK5ecv7M88dKczLvouuxunNK3Bd75nad0VW8vfPXAIAmLlQTSAWo/uTTX8rHfQzNS8E81JonMs5aFeVObJSfcD8GdWVhWjx3y3mJdG88OivsqUNR/QgnZxyD6yU26iM60F4dxfdOxMX3PMSXllKsUHF26PXhURnXUeXQ6Vj5qUhpmZ4+ELgtwcCf/uUe2ncnGGXiwZHjnFJzLF0bPOeqL418zI84TmMcfGktC6Ml0Y4iP9tnI93eY8Ungw3759p/K7MqtZj3bXAN2ID2InR2TgHBOOlmfXSiERdLntSWd1GDs+tqj4eVmkMKvUuW3I7DKvN8yIg0bxwLu1uWwjDVLDbhLiyroJ5KfH8iVQAA0PVuoZT5qXLbqO841prAHjyb8CaJfp3XWb+EuZFHE/vOyf699nrc5VlSlIXiO0ihzEmGi/HsLsAdN/wHGgF+MwfH+lKJuYN3HjJHuTiSWld2J/7v/ZXfLRxJy7o+XlX+lCZVb1vegIVVfT9/jT8o/drwMw7tO9E4yXzbrmyjNqQL9pINAzLTJ3iKyptMBOT22srB/DFy6ZjxUD+jMmhtjFjlcxLp0hANl5Gshvpnp9H/3XQZOkzz+02ogyVitxGyTut3G3UYRu6zbzkreMd3wOuOhH40/upwiqpklxkWmYcbSQxLwXvSbmNPHC028WMl7YSAfe1xmXw2tleiTK49ME5uO3ZhRXvgRWhNl6Shtf91dy4ViqsrMr37yFMhIJFBLtiOTQq7uxPXqUdEt1GmT+BcBsVgmS7ZA8AVb2vSt1GRL3/55onceMT8/F0gd2rgxByqHTZaCPJ4IvKDTkH/KZw0+GR2Tk3+pdH+w7d/h1gIHrWIvOSezQho43kZ8ONfZQsMPkUT4IByZCUN16qyxUiPDVx7M7on+0gxIy5y9PImaevif5d+JR+cjfcRkI7j/O8SIvBAmNHxMzr123BlqDnyuOEE4sxLwDw+cYNOOjVP+auWx6sWDvUtbI3aOPFhV2OO55xFbxyPvCrfYH7f1W6PuI9Cvd35Udd2/NNPNP3aWyMlaVcG0bmpXLo9xlohcK39npQ+wEV8yKYB5eHZy/Fbc8slM+uKiihyscsDFwf9O4GOMecpWsLFxe5jdIKvrCgbEI9fQINOWTmpa0kD3TCMHAbBcKg3BFi9qAE89JFwW68MAkp46UC5qWS/apsyJigz/r7czjm3Pvwzes6xopHLHCWzIzG8KHi/cOlfnGotLQdSQGDiYNmXv63eQG8fsEdVsJ4AYDNBmbnrlsedCcHUIQN2njJw7wYH/GdPwSWvAjc8o3S9eGCy6OqlfybvJcAAId4j5dqKEbNS9W0PtHZ+ofWB/NiDpX+8HnT8Jk/PYKXl6QCx8qYlypXfsJq/ec952G3ZbeVel2qYPcP95r1VU6QmBdR8yK8w/agetWIRbOA8cI5x1PzVsgizBiKKylfPrK0vHgUDCpInCaiq3leRGQwgL+/NxoD//JQJzSZGiN+tW80hv/zB9n3y6010t1GEoNZYGFoEuz2spZ+oiPaxPvfY+VdwCMX5a5fAmKOnbVoNX5+y/NY++hfcfIjR2I/9lzx8i3YwI2X7HMymZd2d2ivaiZDeWVbpkx/XbmNiDoOtLuvedHer0OSuucWrMKawTZw7y/Qc+UniM0d86ObbqOt1jxdqrhA0byYXYn5kQp2Ide7CPMyLAS7eh2KuI2unTEP7/3VvViymngOikstl8ifMBxDclIu42ruouYlh9tIA8W8xL9zzjT7tS/eBpy1FfDEle73IzQvMvNSwHhxVcTl0byYGLIb/su5DBe855f34Jw7XsTo60/CmPYy/KHnx5WWH6Orxsvdd9+N973vfdhiiy3AGMO1116bec2dd96JffbZB729vdhhhx1w8cUXF76/E/PSeZ/m5lVdx5SZl/Ll3df7n8lnj4WlfM+VbLL2yiPA6oyEaURnEwe/rH7O16Fg93OXPIrdvvUP4LZvofHC33Gk93Dpu1a6SFWfZRhkv8UV84CFtJEThKG0MWNp44VkXiCvbLsWurouEf02SbBLZEelELMFAZUDRHEbkXlajFXSjdCQYl4qyfPS7WijnOWXGSP+/CGgtRa4+jM5LspiXorBqf+VdBuVxVsH7sbn/f/DeKTZpQeVneO7tYFnV42XNWvWYM8998S5557rdP5LL72Eo48+GoceeihmzJiBL3/5y/jMZz6Df/zjH4Xu77IHTZC4jdbFak7UvBQWvSSftmSp7zNiXorWy9LZXOv58jTgwsOAn+2YcaJenpTiPquhk6uqAiiwP8gYFinziyz8Oee4bsY8KedQ6Y3t1IGLh9mr87N3BX57ELBcz/4ZhKmwFqhiABaMFxZrXngFxsswYF4kZiD6bT0FktTF7DA5UWnGS1HNS8y8dCvDbkWTk/hMSzEvJUPx84JkXsq7jdzaUB63UcXGy8BKnL7qR/ha83J8o/Hnast2QFff8nve8x685z3vcT7/vPPOw3bbbYef/exnAIBddtkF9957L84++2wcccQR5DWDg4MYHEz95itXpsnWXNxGYZbxUqHmQ7xH4QWnoZoewi7leXEsc9adndMzfhjxPTf+QVxOJqkrZE2437SDRonJ/J4XFuNLl8/AR/2VOK4TbFN6RaK8b8YdmJcYrz0DTJgqHVI3ZqzSbZQwL4CsYRixzIvdbeReSlQO2RbKGC+i4Wg1Xoqj6lDp1YNtjOG805/LMC85FjgVu+9J46WgYNfJeCm4PUAlEPRqm7Gy4v78GFaal2nTpuHwww+Xjh1xxBGYNs3spzzrrLMwfvz45L+pU9MB2c1tlCHY7RLlVdTQMBlZflnjJe9EddPpwDWfTzu/qwFB1FGSn2RdX5negda82CaI+BkVeczPztczGJdmXhQNAysZ2qxuD1ClcSVtD7BBuI30Z1NEsBs3Z5Ll0owX99rJgl2L8VJFnpeKjKLf3TUTP7jxWf2LTh3//uR8vPNnd+KZV03ZwDvwKprWXJPKUcyLuBgsFCrt2P8KuhKrQVpeL9Z9yoNhZbwsWLAAm2++uXRs8803x8qVK9HfTyfTOeOMM7BixYrkv7lzUzrcSbCbleelS8xLUUPDNCgy8FKal1xuo6ANPPQ74PG/AMteSmpAXEwcslPXmatLinmxX0HDwLyEHNiOzcfubJZ2SWK8FLgdZUiXNV7WDCpi8pKGgLoxY6VuIzHaqCzzMhwEu0T7KWO8uLmN8kxUsttob/YC9l96HXWie5kKROblxifm45TLpkuRg3kxga3Bo/fd0ilcZ15OvnQ6Zi1agy9f8VhGxSpyLV/xCbfzpFDpyJnhl05SR+9tZLv3Oodwby0Kah1gWBkvRdDb24tx48ZJ/8Vw0rxkRRtVCI7ygl1TLctGG5k7SoYBEq+inSfnDOYly21UsMnq0Ub0yohzjn/2noYber+BiVguXdJImJf8z5lqimWYjT9Nm42f3yKHIDIelCIKQ415qU6wK0Yb8Q1B80Iwdz0sf7RRbNSKz/2fz3U2Sa0o2shDiGt6v5V5Xl7EdW4FIb542XTc8MR8XP5wzjTwwv1PbPw9qucLtymDgtxGxKSWdMXWseZFeHdBZ3zyxbGiIPNSudvIVo9ZdwF/+Xgk6C9Q3uueeZk8eTIWLpSTgy1cuBDjxo3DqFGjcpcna+roF9eVaKMwiNLg9y+XD4ufu+E2KjHX5FtlU3WnjBfqUvt9zE8lKo0XpIT1gYAeHEWjchu2QLqijNsonqQY9Am9CM687mlNg8N4uZ2T2OAqnODfnPzdDeYlDEP5XYxUtxExuRZhXmKIz/qEix/CghUDer6RgoLdbpl68W+cMXd5cizTsFBB/abnb4KpfwKAn7UorUrU7wrhN7QUzUsr4Ci6olinmpc/vR94/kbg+i8VKq8P3cuka8KwMl4OPPBA3H777dKxW2+9FQceeGCh8kSq3sR0dEWw+8BvgUv+DfjDUXJRxH3zwtRtGcKS2wMYrqXKpI4RFSM7H6V5ySg6KixuqsTGjKV3lRaYF4txEQ9IRd4d5cIsy2w0lLwzLBTz5eR/KG966iw0pFDp6jQvidtIyxq7joyXxS8A5x8CPHtDRQVmGS9uYATz4oFj8epB3W1UsH72TVdLuI06P/KBWWnU49LVOScxkxtZ7GOKEednbt5aofHi1NdF5kU2XgbbwfDRvLhg+cvu527IzMvq1asxY8YMzJgxA0AUCj1jxgzMmRNRi2eccQaOP/745PzPf/7zmDVrFk4//XQ899xz+M1vfoO//vWv+K//KpZER2zjJlFZmQnfiCeuiP59Tc6nEXLBmCpIk5gmJQ+88E7V0fU5oo2kDsOUf8VvHI0XcR4wdVgWMy/iwOT+ezkY3uU9Arw6o3NAdBsJH4X34jGT8eJ827Qsj6EHLRzgPZMcK7siFvOKRHAIlbbcffKie6W/q9xpPNmYUc01sq6Ml6s/C7z6GHDFcdnnuqAqzUvnX0+J8vI9pu9tVJh5ka87B8eKhbqXqSAOq18zmL7TBSvNSQcHWgG+cOmjuOrRV8SK6ifyUOmfchtpZLGv4vcZvy/gHAs7dX5k9lL9BNXYpmBJUhflPClgvIA7Mi95Cu0ekzOOrcGJ/o14A9PdTl2YYQF02Xh55JFHsPfee2PvvfcGAJx66qnYe++9ceaZZwIA5s+fnxgyALDddtvhxhtvxK233oo999wTP/vZz3DhhRcaw6SzIGpeTGLWONooNE4lBR69kiTpkdlLce8Li2XBbrtaS7WBEGXC+Eu7jUjNi9u1osFi7l+6kRTX2WgECIXtxObigp6fA+cfbK2TZLwozyQekIowL4wx/LD5exzj358eK8G89PieFpqbz22knxmwHunvKt1G6f46FRgvRai2/mX5r7GBmFyL7G0UL7DkEHWOhscqy/OiPi0maULKGC8RxORnCy3Gyx/vn42bnlyA0658nKxnekypk3KOl8W8SHtn2befGGgF2P+HtwMz/4nFc5/XT3DaOFR0G8WC3Zh5CQs9Ys71xRN9YsWh0nm2RhDe03i2Ft9sXorbe7+Soz7l0FVl0yGHHGLtcFT23EMOOQSPPfZYJfcX3UamREqZSeqKrExEd1XI8e/nRaHe50wRyqIyauYrWkIT7ZJ5Xjjdtkm3EdFhiKyWNPNC5HlxqXbMvAj3aSBIaFoSQsFT2SLjd5JgV5gwVNo2FZ0Wcxv9u383WV4RNHyGRtWh0orQsVq3UedftY5lmRfOHY2Zqtd/evspIthN3EbCROUhjH5SGUNPqJ5mhPsNlLZLkfbvIcF4sTEvS6kdhknjJYt5UZ8uh/TERbdRMAg0+4x1AoB92L+AS76NI6kv8zIvXHEbtYJCbTz6RRUbL04esGIRbesDw0rzUjXENh4YEillhxcXGfQExkdo2GuFMMLQpVPkQA9rlTNejA3R0Xgp4zaSvjaKXjr/pANTrPkwR5WlZQ2iKdfBsDGjyAz4CCV2I3ajFHIbEXUsZbx4TFrpAx3mpcQcrTIv5ZPU6cwLLyNCTaBnt82uSsUDbUWCXarleuARi1oq2sisXfJyuFVsiMsdaovMS86NNsn7c/L5JvcVB/brv4y7ev4LoxEZTQ/MWoJZi4Wdox32ptvPIxiXGLndRnK0UVG3EbCektStz6R3ObFBGy8iTMxLGm1UoSZfYAdE40iaLp3oSB2mejbRLre3keNeLFElXN1GroaP8DUALJ0FzL6PLH/hqnQwytwoUajnAISJORgCiJVzVL20zG3YAjza+7nk79hYKjLeU3XN9cwV9DQ8XbDLA7NmSIP+vkKvKf1d2m1EMC+a8ZJ7B1/1Hutr9VfceAlDjo9f8AC+fPljJGnko7NPWRnBrkXz4vnVCFrjckW30VDbrLti1NhldBvR/RNQmJdH/4BtvNfwAT8aL449/wHMXbIq/T7INqZ6bGLTnG6jdseZ0WCC5qWwYNehbQ8Tt9H6wLoOiF+nEOdyo+YlM7FISbeRlENEKLbi7el70C61t5E6ESbIchslv7W48cLVZ3ROpJHCyUJmZeZh/op+PDJnBbbtjL1Nm/HSHgKuSQ2PAS5MzK21yu8SmZe0ft9t/lEq0o/DfQu0iTEDC7JPyoGGRxgvKMe8tFnFxosUKt1hXtTJoKzmxfX6yr1GeoGu0UbPL1yF+2dGETrv2nVzbZJicbbsircHiOGJovcKMuyqG/GFHPBd1oI3fQXh09fqK2iVGc0ZKi0tFDI0Lwyyu09DTuYlzvMSv9OBVoAija8bu0q73bhmXoYFxEkmK9rI3FSKGC808yK6ZsKwoGDX0Lh60E7Ex3lxTvNX2J2/kKMOrswLebG9aPH7BU9Kpb26vF8aiCnB7iXTZuOsvz8LzPgz8PTVyfG2qI1pDcj1EBkCi1GZ5nnJ/5xHD7yW+xobGj7TBt29h6bju0M/wUZYS1+UFXnhyW6j8htHim6jTj9T+2FpzYvr9RUPtCUEu6HCSKlGogceMcVlwsotbiPWReYFMI+10hDBOfDQ+fDWUP3C7jaiQqVDYSoTw/2zjBcgg3lxGqd146WBEBOwCoMD6kLJEd1gXqqONqqZl+5BnGSyoo04r9BtJEYVSW0h/YMXFexy+rrjGrfjitWzAGyfu8z3++a9o2hQz7IM80J/fnnJGmyTFMa0rJPURnjfvC4KTz/hra9iMlV1oMO8mDQv5vdSJlTaL7Bpnw09vs68AMA7g/txSmMT+qIs44XJw0F55iVF8t7U9lvaeHFkMCsfaPVG6+o2Et0nHFRUm+w2anMPDZYnDB6QDUd18i+WbkBF/CuGFObFyX1ti/7SBLvZeV7EO0rMS4bbiCMjR4mLG4XHjCxLjJeJbDlm9H0Og9dtiiLPmMN18VCMjTOfMnKMlw2ceUk/G6ONsjZmLOQ2Sh+ruAphvLzx4lkG63c/eWqhMq1wjjaSBxTODXtzkIJdwW0kHF+4QmAQmEzHAunmZxSLrGb6lAaC9oBxZWfbPyYJ9y3iwy74vk1o+My4i/FkRuSriGphLVNlXo5v3OokeDQjvd+O3it4I3ulIualgNuoalCCXeZmSMmZvwm3DrhsvHRYw3xeI4tg1xeM1ArcRurQahprJSybbf5O07yEQBjgWP8ObM9eNRgv6TEp83RG+2WoQPPSedYhGHacPAEAsBVbDADoHVxSUPPimuelauYlj5zB7Xd1a+udDdx4yWZest1GBSDml5GFLsLHosyLubGO759r/K5SUP5oJVSaGpS1a4Vzqc9MErSyzirVzrzEELN+QrkOrX6Y3EaaoFSAxLy0BoCnr3HOH8LKClMVNH3PqPnJtcmmgEDRvAAApv9RP+YK4X4/aZ6PW3tPh9dao5xTRPNS5PpqV4myTiufYFfdtkQPye8wL52JM3V55mFezIJd3xf7avHnYoqWM0V2SrBlcuWKyJWHCB++CD9qXog7ev+bCJWWx29Z82IO3Y7Ra9W8uLuNOBi2nTTO+H1euGXYrZj9yJM8tWZeugeJeTF0qOy9jQpAmMiffGVFelicwApqXmzMy2CD6jh2ZEbsZLEnyWd5ORmqqyfbHaTTOPkRDFrKbJtb45Vl9C7kACLjxeA2sgmpxc3W7vvdKcCVnwIu+aD5PuIdKg6NbxBJ6mKYJ84Cxsui5/RjztDv11iraByK5MAQi3UW7FY70C5bk67oV/ZHn101L6rbiNK8RILdqC3Gic+c3UZhADzx1+RPlVnwPU/K9l0Upt9oYl6kO9qYF3BtgcRn3pH8STIv3MC8BNnMod1t5C7Y5VATAMrf54G6UDOfWIdKb5Bw0rx0g3kRcOIfHxEqVAXzYp5c+wsYL5l7UmS5jRLmRabyQ24Q7GaFSovMi9g5BlZgyhO/lrLSpsxD9ruTymr1G+kebnm+sdvo4dlLscuiv0cHX52eeW8AboNgDjQ9hobBeDEzL/ZnH3iE8TJ2St6qCffTD3lDq5Vz8g+ALy8V3InO15cYaJfMBP78IeBlQRtG9AE5J5A786JmWt7WW4AtZ/wC6IhZE+bF9bfOuCwSrHcwmsm6D98vEG00sEI7JPYphhB9iO7jpHlZvcj8HeE24gNp+HODCGUS75gn2gjIchu59Nt0DqHD0Iu4jbqRpK5it1Et2O0erNFGQRt4dTrCYEsAFuOlpOZFLkvQVhSczGzMy0AB48XacU0gWQvh+YUBvHt/gat7LiKupTQv9Ndq55362M/wFPZL/vaTJHXZVZZOaStuI/Gzg9to5UA7f4K5qo0X3zNqLCp1G/WNz1s18YbaEa+lGi/5mZd5y/qxbd7rywy09/8KePG26L8zlwGeB3/FbKHoqA6iHsvWJCWvF/QV9l96fgA8lf7dSjQvjr/h5fulP0cpO/42/IZBZWbAXT8G/vkD7XD8O7Znr+IPzR9jEluOo4d+qEUfkbD1B81txMGHVpnPhzx+S0J2h8lYTfYo4fkbo7puY9kcWGCfq2Rehn2SujrDbvdgzfPyz+8Dv38X3vCo3illFDFeDENXWN54sWle+hv5Jxprx0U6MCtHhY8089K48wd4gzefuDQjz4tQNmWoiQO9Gm1jG9x15kVcOaffaXvvCIgFwkWSAVatebEJdj2Y9jiy17utZNgF4ES750ElmhdHY7My9I5NP7/yMPDElRh/TbrBY9zuPImJcGVest0Dccp557FIGX9GQdZ9+L6XTvYuEythuABp7p7DvOnYxnsNo9gQdmDz3PqHdfzjivESAoOp0UuVL2tehDbl0D6sC7h7zwb+QG4cIN09/j/zKeMlfxs1BjxoJ7r3HyffQq7+5NYeS6dcMGADN15E5kV5gPeeDQCY+uKlABTmpSwdZmBeRJcPqzhUGijmNuphduaFNAgME3+MVf02kVwO5oX4rTbjRXzF1ruobiNxHWoRrMUr63YY5u6QmcZqzjZnCpUGyriN9IGXl4k2In6Tr66gCwzsHmU8Z1cm930S9GyUfFy6dBH4PT9Vio6NF7NIVoYaKm2vW27NizJNjWLyO/R9vxI3eVyCqDFJctRQ54u3zGJelHfMhkTjhbhE+NwQGcmM9uEhtCepc0EcKg0P8KrJodMd5sUBYctdtFsLdrsH8dlmrQaMxkuhF2RyQQl7GxUNlbaIVAe8MfkKWzoL+zB7cjry11NuI2FkOuEPD1oKTK998pUVeGzOMnmcEk6lWCZRH9BgqvEirnwtaCliXinayCHPS+i4ihHAsgTaOdtZ0yLYNU6GcigXcQKR/KuiUOkYfks1XvIPvlIfcHYblRnk099x2l9nYOkK+jf4zK39ZWleVCTGqGsbUW6uuo18r5poo3hyZZLxEpZnXtQMu2EAJjB2ATG5cjFJnWjUZzAJDBy9KMkudurKAQReb7myBOSKNmr1Y+iaU/DwLX/pZPWlznXsAw4RWp0CHc9zx1Pzljufu0EbL2LGWdNqYDUndhw1RKI4w6h5cZskrUVXSZOfszfO6TnXegrJRJA5UtIR81/zdXGfem0rCPG+X9+Lf/vN/Vg1mD4LLrwncj8ggnmJ72zLv6JpXgzMi23VEdcnTyRVWm4W85Jvco3cRnRb0Azcf3w9volwP4pRI/gqB8GjESTzslI5J79RwQoxLyWgJHwbHFSNX4UpiA66FNcp096WFmLjTonFmJfRituo0fDTkjIMorVD5nYb11uNADRm2JV0cTmYSB5KQm8qcFQ85OfQvPgIM13nWn0Md+dgaPmjs8tyAc+ZYff+X6Pn8Uuw3/2fx4/+XiZCEMni7gc3PoMPn3e/loQwvXf1xst5d810PnfDNl4k5oV+Act45M8OJealnIEwZAjLltxGRQW71tDm6gdycsCkmCnBYLN1unYnFFlcHawaSFkJJoabEu9BXFU1FMGuVC3lOi3Pi+T6Ej5aBbvRie2wAOmeZXTmnIR7fA+jGG1YaG6jab8GVrziMNgQK9pSmhf9fo31ZbyUGmhF44Vrk92F98zSnrmN8hfdP6GDtuGK9iFqNexQWLVexTUsu43shb7p27eYb0MYL9UwL6HSP2U3bTKWC2O6tD1ADs1L9D7dE9HR31VvvDgbqnG9lqaT/tXTXzGc61hmhyW+4J6X8PDsZbjjuYXGWjpVMcdomUdOuIEbLwLzEiiTVwdLERkvstvIrunIwvOvpRSnSqmmtyhmINlCpUtsUmwE+fMtm6YB9pXk069GrIw4wIkbrTHR9eNovFB1VbuLZFCpSeqkyTA72igIHbNfCsg2VvOV1/AZNgKdy8ZnxEAbtOR3Re1FRbzssDUMmRdDdmQK85b348uXP2ZkA5ygJHxTJ7tpLy7S9w+yFSd8DkO7sf9i441YicgdXGRPLUBP5tjwGxk1BBAGCJ68BhPDxcZTEuNFaG8R85Jdz3uet2xUqoVKK/08drmL0ZvC9zLzkqF5YRx9Gbq/tE4ZpwDVGS95mRfB1cNcwi+zbi7AGDyWs++6tN88wRAbtPFizPOyKo2CGQARYSEZFvkHjNWD6fVP9Z6IrzX+gvFYLTfGLiSp64YPMjPaKPksU8cmiAZADM+jDUfqtzYFcZ16H5vbSMq7oeV5EVZwDoLdIsZL1W4jDzAaL+Sgxxiy2wfxfSnNi46GpnnJ32ZZDs3Lf1w2HdfOeDVJJFcIkpaKo1cxBhg4sTO0m9uIgyuZpGUEkllUzG2kGy8OeV5mXAb/qk/h3t7/tNyFS/8CkeHsMgGtHbAYxWqotJKi34//lowXQ5I6Bxa9z0Xz4sC8AAyh18QgL5+BJMrz4ngi4JTPxrn9KL/VaAvl7Lsup9fMSwfGvY0G0wE0TtImPbOSzIv46sewQXy+cT0e7/ssxgi+5+J5XmyDdY66Ov4u52gjZYA3wUcAzrk0wHGDIUExL+JArGo+RONFrYFUp6E15nfsJNjN7zayMWZaHRzQCAclgagIJ8Eu+V6JQ5W7jcoLdvO4jV54bbX1ezeIbVt3w0SBx+7Mi9ROuZ2pDJEzrBnQZhu1n0iaF9O9X7obAIxtDDC5jbgxm7lYLVOkXFIn8b0qbZCFnYlaTPpp2h7AgeEeBYeJ32Hc5Yh+41oQOsoCyBUq7SKyLZjQ0dyWcxovlZ0UYQM3XgzMi9CgU+OFWP2/PA148dYC96Vfd7xZF1BceGudBPNMgGWEv9QkKHRuG/PS6PjERWNSfDVihJFH1LFHGJiSJHWdd2ez2qU6Da2GyW3kEiodFDBoK9e8BOZJmX7+LuZWet0KHtHfVQt2G63uaF6efGWFlLJfv6YEFMGuCg+6bsWdebH3lwAsGZuKCna17QFEzYupLfsEI224i7RZqqPmxWq8qAJohXnxQop5MZTt0L7shhR1B+WbTt+OdTdrKjBeOLjkjrPcPPpX6KcmpsSZLdaYF1P0rFtxMVw2tM2z6e0GbryknyXmRXg5accmjJfM5EQ0TOtyZumQrrALdvMwL47GSxbzQtzzrt4vG4troI2Ay6uzwPBuGBEFIDIvcah0Kti1uI3ECWJwpZmFsDyXeJBrBwU0L5b8PNF9803ivcFa43dGt1GG5kV8Dr9pfyD6UDHz0uwC8/Lw7KV436/vxUE/usPtmryQ2iRRNsvpNoJsvdi0DSEXzCJn20UxXpQ8Jr7nGceoBI1s44WKNvIs0UZSHazGi8q8qMZLZ6KWFgSs8/9QZoscFmmNPEYC/aXwf2ANFcGaE+5zeOw2ymZe3IuUzyS2kspbIgDutCVObbx0IGteaAV6TAEb3UYFEBiYF3FA68b2AN1gXrLdRqF2rMeQth6ImJcwlLdrkO8hDITEexD387ElqVMhTSaDqyC/cbfBLjaWhoIw9/YAVQt2e0Kz8eK0PQDxXuNndPeUE9Dvd7LKVpykzuOK0V5IsCu3vzufj/YA6qfyW3SqUC7Lp515YQTzYi1Nsl3shnAgDNG0/oyCXfPilOfFhXnpGAlMeT5OzIvVYODyQwpk9s8LW8A1JwO/TrcKiaNFtbZfMnI0Lcdc3zi9AwcD51UxL3kFuwLzYji1KPPiGZkX97776+av0PzlbuQeWSJqzUsHxgy7XHcbSa+niPHSGgCWvgQgonopyILdom4jc91yDdCOxhNtD1FuI7d7+yyImBdR8yJ8nxVOLu7noxsvNuZFMV4Mmheb20i+X17OtGrmZY3xO3oiVQW71DnpIBxn2125Zg2+d8MzuOXpBfjsnx7BghWuCaxM91BQoB94irHJslgEVOc2olP7UZoXN7dRENoNn8h4cQtr7h8K8PNbnseStbKBqBkvTOB+jG4jYp8rBZTmxRZtJD47O/Oiuo2UJHvhIPD4ZcDqNGKJG42XcgtRl3K40G+A6piXopoXs5vH3XgRF5RVCHbf6z8AtuY14Nnrhcu5tjgOc1gvG/jGjOlnk2sidRvJA+JgO0CuXIkXvRuY/zhw4q1G94U86OZkXlYtAC5+LyYNzTGeksd44aHJxFLOI1WcVLSH271jzYu4eZvp3VAsUw/BvMSdK5/xQk/ktl2l3XzjhvtXLNjttTAv0d5G6ttVqHirYJdF+xxxYOb8pfj9nJfw+3sjw3woCHHxCW9xq6TLbyq7t1HG9WX4FqoUKhtupHlxdxtJWryMSUrUvGQ9z1//8wWc+8+Z2LQxH58URnY1L01kvGQYRE6al9h4EfqsI/NiSrAYVUllXhTNDhGpGZ+t9dGKknpyHhrHy3jBwwFMHNuLNRhVxR3zbQ9QcVSgFA1qtl6cypLGos7O9UPtEEefcw/eMHEjnPf/9k2+rt1GANAaMOd5IQS76n4p59/pnukPQGS4AMBjl5D5MgBlQMtrvDx7PbDEnso/zwTYarsyLxnGS/ybHCchHwHCUI42Esc6T7jf0lU6u9CkjJdkcLfdV9S8KIJdiXkxD3bigFt9qHS+8voszIsPYu8lNfyUfF+dY4whZNHs11T0EvOW0eHZhVFoewD5d5Bj66Lngcs+it3xYnxioepFl9qZFw+6G9E1z0sQhlb3wJohd5nuM6+u7JRvF+w2JOPFgFzGi8y8GHeVFl5UJvMiGS8K86K6HsXv1HIrchsFlp2y0zfE8M6dJ2HLzTezlvXArCWYNnNJ5j0rjzbK4TaSghJKMi/SWNTZuPKhl5bihddW4+an5Xw/tdsIAJ6+xry3kdCgowRFipXLAzz38rxi9x1aQ67OANVtlM94mb3aZcOvPMaLm2CYNl7Ez7HmxZV5idxGLcGYlK3t9N3MXLBMu142XtQ8L+b7Su+ktQaQxGN021DhS8ZLPmQzL1W6jYiy1MRfRFtJjG7Gkh2mTfsnuaE7zIuc58Vwjz99APjXzfgDvg3AcSIwISPaiBHlu2bYzRJ/B3DfhyheIWvGi6JBE5MYGkXuDm6jXzTPxYn+TXKeF3DHaKOM924JlfZDnWWIFxYao1MmOaGAODM4ic4zDMHAGMMe221pPHWgFeDY8x/Axy54wLr1QpTnJY/x4hLunX1KfHPxsZVlXiTj2bO3qzyJGDdc44WH0qQ42BZj/+UG3VRSQYGH2ChUQjpdMbTGmIvFL2G83PHM/OyTcrz4dqsi5oUIlbbBR4gw5GgLKxnRz8mEd0NNnOLgdHzjFmyJRWk5rm4jIIo4iiHleXHTvFQebZSzvN7QzICQgl2NeaHul64gw47mRU3IlgtObqP8RoUabUQOrZ1ElOqOysVgZ14YdPbE7jZKP2dpXrjkNrLX0jWxauRWjG9gMl6yneYT2Up8s/lnzW1k0ryIY7CVeVn4NLDo2fRvxW3UINxG5/X8Ah/y7u6aYDewGC+xkJqDRe+gx7xB7hphH7f+IUuZcDVeOueImhdrqQ64+ycI+pdnl+c45kvGc4ZRXDMvQER9CU9i6RqhwSsNuhdD2oA4JrCrok1Ys2o5AoPrQdwFOffeRk6dsHrmhdZ1UqHS+ZgXcYALOMcULMFJ/g0YFaShtLTxkh6bwpbi5t6vJX/Lxovc5dQJYmjtcuEniEalm/GSP9qoYuYlzCnYVcNPTecAAGMIPJ15+WrjLzi1/5wcBkeXmJdM9xdxTVXMCxElQzMv1gKTT+1Q18uICIQkda6/Icsl5PMwqaGZecl2G8VQ3UYU83L+3TPxu7tmSecZ0b9U/lthXjxOG6Q/6zmva5oXG/MiRhsxABgz0Xiu6I751R0v4rvXP0OXyR0j2OL2H1SY5+XJv6Ln76cmf5qjjQr0qcTQo6/Nk0NrwxXsci492yVrBFpNGfB60VL0KMWZl5nzFsLHOPI7idLMO2hXpZrvIHA1XshBRpk8Vs4HHjjPqbQGAoRcjv7iHPhTz4/wRm8eZi96NDlObZjmKRk/x7L+ZKaQ2718njpB3Dr9BRzt6+faQtjLRKxUnWHX5obyWEjYDYrbyMK8cDCELFohiYL2kxvXAy0AC58CJu+RXUnLb2pxP4ocK+k2yko5MMCbnWvKIMNdQzAvtmvEx9IO7WH3+bYH6CRrzDJevHTqMJbou08NoiHiM5p5+eFN8k7HudyRDsxLDM24rGjcbJt2Vo5ukvyfMQaMn2o8U1wbXXz/bADA8Qdug203k9kaDlfNS55xI4dhMOdeAB8BYGP0ChgvGXmjarcRoLmNlqwWHppijfegrTEvo8JiacXHYMDY6ESq1BaSS8JhBWELo1bRdhXsUjye6ja6+Chg1atO5XngmtuIc443epHGaNvB55Pjo1z2HEE6MT2/YJXxHHVyGQshWsdxJS/uQaMaUZl1rDhJnc0YcnMbEQxCfIx5CDu+6Tg0XWrTa5eqlxpgfkbLOhuilk1SF4ah1V+yGqO1a3IjI3u0B31/Ime3UYbmpYjbKIt5aUjGevnJ/eONO5LPHkKruDUGuXmoCYqeo8HN+g5t7K3KbWQZf+MJN2FeJmxtPJdybQ8ShlFuzYuECjLiZiRmjM4pYrzYx8E8RW64xgu41FAWrxaZF8VtxHS3kV+QbhzNBo00sLxhWF7mxcF4ydE6nY0X8qBivCydRZ1FwmMcQRBKgl0TVTiauaemv/tfi/CZPz0iHLG7jcYwWp1vC5UuMwFWLdi1uRp8KlSah9luo+QbhlBxG0l0/FD5/YKW8uLGi6gps22kCSDZkbkqt1EvwQZSSeqs0UZK/in79gAeDtkxdkPYf0Ma/Gw3XjyWtg9jLFORiQl2zYuIXGkHFKalx+A2iu8vX1uR28g2Xqqal5zGyxG/uBtPzdNlCsWNF+PJ7qeKSUSrKC8pt5MU1nDpsAuVPvfcc7Htttuir68P+++/Px566CHjuRdffDEYY9J/fX0Fkv7wUFrhLLYwL71oKYLdgEzDf+8Li3H0OfeQDS2GjXmR99yoWDORs0z3UGlT5Eryh/M9YwRhoIVKt7geTTUa7gnRrpr+inJEcRspK2Pf9C4sk2GZCbDqDLtWhsioZ3FzG0WaF9ltJLXdQUfjxfKTlmOjzjkFVv7C3BwGATZbOxMHeLR2YFXCvAj41z+Ay44txCBRm/jl3lVa+Jwl2N1s7GhMGBPrT1w1L3b4XDBeTGNGQXeLa7SRVfOiQlmt94TmcUEz2ypyGwWWcSFhXjiLuJfRmxrPNRVzymXT5TKRM8OugErcPMJiy2hQFGJehrSaiG1wWBkvV1xxBU499VR861vfwvTp07HnnnviiCOOwGuvvWa8Zty4cZg/f37y38svv5z/xkqWwKVrBtOoFuWFR24j+Vqq4Xzi9w/i6VdX4lN/MBtfY9BvpETF1Pbuqb7j883Gy6NbHR+f5VxeUBnzkn9wCIO2tD1AGHIsxnjtvNEuu73GZWRR6poGxmCAWYyMMuG2lTMvlvOd3EYWwS4DwDvMSw/JvJjdc0qBxm9W8I6PvwCtLzEvPMDxjx2Ly3u+j63Zwk6Z6X1jt5FUl8s+Avzr78CDv3O7oVBeHxG9lFewq2b+tm7AxzywzjCdZTy7uo2coo0KoivMi6KTaAbmSLtuMS9u0Uadd2BxY5r2fWopO3Fz7rhzfY5xw5R/LKtc4+ssYhgSe/plBkEa0HXj5ec//zlOOukknHDCCdh1111x3nnnYfTo0bjooouM1zDGMHny5OS/zTffPP+NFeYl5MDyfn03UiCKNpIGkDAwTDZRgcvj9NtPXQW8OkM6wyc2aYshhYzl1jhE5y/jG2Ep3yj94rAzsaZ3Uq6yAHe3UWa0UYHBLwzbWp6XxVwXOY82uHZUMMYyLXZ1QvcMLIRNMFbObVSt5iXLbUTcQPlT/y3x7+PMQ+DHzEsbAJeZKmfmxfy8Vsf7v5TVvAj6im1ZJ+FVK53cVvLRMOLF26LM1ZlI70cJTT0iKaC1rYialzAjk6rnJZNhVutLt0kwT3uv8M0Q7PZhZGbYLcy8VLCrtArFbbQRMxsvenLGdRBtJGhekmMnTyPPNT0byt5xZl4EA63NzVN6rtFLeP/mMbGI26itlSlnnB4mzMvQ0BAeffRRHH744ekNPQ+HH344pk2jXy4ArF69Gttssw2mTp2KD3zgA3j66aeN5w4ODmLlypXSfwAAzrUJbUVsvKiCXSWLaMS86I1V6hhzHgT+9mng/IO183KFuDlg+pxlWLg8Co29PdwHVwbCPZkHziKXSx7Luu24qzXNEJV0GwWhnOeFA4v4BO28MY5uIwZqTwxV82IxXhyZl+EUbWQX7AaGDLt2ozMVfDOgw7x4jKOBQNZrZWyuJtzE+M1gJwqoWJ4XkbVL31eS0E2oX39nkw/SQJj3CPDbt2bfUHhuVFr73EnqhM9Z0Uac+alJksUuZuh6f9H+IN42+Et4o8am5VfpEkC3mBd5rJLE9gpc3UbXBgfhr2197DYhtImQRcFupwJs813xaPhG7VTTs/GVrZs570RSZoGHUo6XQTSN41Su8Ut4/3OWrsX9Ly4mzslTYAdEtJFYzLBxGy1evBhBEGjMyeabb44FC+gVz0477YSLLroI1113Hf785z8jDEMcdNBBeOUVVdMQ4ayzzsL48eOT/6ZO7YSpKcwLIFi9ysCv7U3COcm8SGuV12gfO+Doz81hvHzwN/cn9Qt4FJiZVkp8he5lurqN6D1wyrmNeBBInTjkHGuJnaT6mGs4N9XobW4iS5ZWq5akuP+86r2NbJNjg9oa1MVtJGheuJeGyvoI5clmYLlbJS2/KWnDRVb4InMh7OkSEsZL3OeNA/daYlDW7pfNvOiaFzPUbUtsK2zGPGFZXs5t1OY+0MkCm7lfUinmxSHaKE9fUhYUY5l9Xy/5WrrfcTAsNaS0oODGvIjsFxBC1/EZmRfl7wYfxCS23K1yAtM4BFsSOPcxRoxcPfO6p/HxCx/EY3OWFS4vAbFoFvtDnuC3YRdtdOCBB+L444/HXnvthYMPPhhXX301Jk6ciN/9jvZPn3HGGVixYkXy39y5c6MvFM0LIKwylAbN1O7OA1JToEYkmeA0yeUcHOLOHoChLXYKYXDL49Yop3kp6KTsIAwDJVS6ZDQIqtO82LRIZZiXTOMl5++3MS+9rK0ZaxHr6PreGMYIInkfIXzR5dmvDmImdMd4kbd6SI2XIKbMiYRd5dpXeq26yWFcts6eWNgU4at2hmAXnu9uvGS00HjcEPcXN3sEihsv2cwLl3aHz4SyWh8Lm+bFzW0Ugsnu96wq2LQzBPMS3UOfXk3PRk0Et0l7EXmefu9QMl44LJKbXJoX/fc+Mlvp90XYudhtZCgmT56Xriap22yzzeD7PhYuXCgdX7hwISZPnuxURrPZxN57740XX3yR/L63txe9vUQqayXPCyBMcATzohomlNvIAxcztShfNhPfrMuqIq9gNxYBRzVTmRe3XWdFBBnx9jHo7QHSYyv6Bwmpbda9A4ipDbIiLlyg19PuNvINzIstqms4hUpn5fRRRaAr1w5g/NixwhHLe2UMb952M6Cjk4/cRqLxsjxXXVW0uZcmUivEvAhuI4EyD4jJIn5nVYVKU8xL3mgjdVyyupiYnxglmW7hziM19aXEeGHpyeZtH4u7jYLAfm3uvq6s1sdZmBdt2wHjUp6luYZcqmDbmFEMlRZvzfT2aGKlPMVttGnbHNAi31x2G3laLQqC6JcDLXXTyyKC3Y4halhHDZvtAXp6erDvvvvi9ttvT46FYYjbb78dBx54oFMZQRDgySefxJQpU/LdnHOt3SaDBlcHGsXvHAbk3hvpQAjpid/34uJEdwJE4YJZyJNQDkgn3wBeh/6NC/IsprYZ7oJdQ+RKB3c+t1D/PrPINtohx+5sFvZiLyJ0VdYbwFh2o1ffiYlFs+0qXSpUOiujaMH28PR2JwAH/Yf2vaopaAeK28jCLHJ42H+HVATuIZSNPdc8L4bJNoAvuC3cf/cf7nsJl0ybLTEvvJUO3CG8yIgtGcoPRMbwxfe9hPtnLpaNF1Ufh9jtbHdTSmVr19vdRsxz6x2pXJcuL2VeBGFpF9xGKrtw179kFiH3Zp+K8bKRhXn5W8935AOGRQMHwxIiSMBYBZs/Q8rzkj7bgHAbnSdskSBCfcObBZHxMtBn3moguXcrNebsY1QOtxFxrp5Mr3q30bDKsHvqqafiggsuwB//+Ec8++yzOPnkk7FmzRqccMIJAIDjjz8eZ5xxRnL+d7/7Xdxyyy2YNWsWpk+fjk984hN4+eWX8ZnPfCbfjQnmJfE3Kg2RYl4o4yId3GUcd+GDaPG0+bl0zjwvCUiZgoh5Kek2eugC7Pjcb5xOpUsUB/MCbqMgQNgawg2938C1vWeip726lGGw1cALmREO6oAuTxgcWPEKMP0SeIFZJFyGHfKzJoPcgt2ovP6+zYF3fx+DTGYfVeMlCvVUljvaQNKpI2PYerONEHbadAOhLFR1Dj+lf1MLfqbb6Nx/vogjf3E3lq+NVmpLVg/iO9c/g29e97Sc9VnakI53jFiBSVP+dcX9M5fg29c/g49f8KBUXlHm5bZnFuKZV+NgAvl6u9vIfVfprPJEd3OyX1LVgl3GtXDgT14kp5bIpXcBtGgjm+ZF08mZNC8cWAv3/GG2UOn4catLMIp5Yc/dgD81z8JELJeOa26jjvGyauwb7BXjIdCS+4AJZV3z0ubGQEm3UXqtpHkZTsbLRz/6Ufz0pz/FmWeeib322gszZszAzTffnIh458yZg/nz0x2Tly1bhpNOOgm77LILjjrqKKxcuRL3338/dt1113w35qH2bJO/OaV5UdxGRGgrUwd/AUNh2vioPXn0+uU1XqLzA3hol3EbBW3gpv/GpCXmXDVyNSn3Qjr4jPPz79rLwwCh0OF6gzWlOtZXZp+ERtCP93v34b7e/8DubBbUgd62Mv7DvbOw6pcHAf93CrZ+8tfG+wzLUGlDiIkaFaMxL9d9Afjx9nLkkPC9x1jSznwoTKRr+KmhPUquT8Pv/sk/nsdzC1bhD/fNBgCsGaTTDHBh1emjs2AR3YCdB5N3O4eXl6Tlzl2aboJJaV48Zs+w+/SrK/CZPz2Co865B4A+QFuNF5ZD89I5z8VtlAyFpjILMi+eEipNjR+5Io0AYNlsAOk+VTbNiwbD7wjhkYkxTbDmeREWtZLbiGBezu85G+/wn8Q3mn+WjqvkeTOMxtWhvs3sFdOYF9u55YyXgVYVzEtWtJF7UetkY8ZTTjkFp5xyCvndnXfeKf199tln4+yzzy5/U1LzEjMvWZoXu9soLl9Em7Ok5Wih14b6uSAOARbdRnK0ERMijhzevGukSFxihvGykZffeAnDQBLABbz8qqAnHMA5PecCAM5p/hpXB2+XvlcHdDGR4PMLV2FsM5rEfUsCrKKurbv/tQiTBwczlgrFmJfYXalerbbfMGjrbW5wJfDcTcBeH4vKjMtmHnzGOu0swMU9/4st2RKhqq4Tm2kSdde8xO0vIAwSAEArFef6LJo4m5DP/Zx/vWN9aTz00hJM7cxDJuZFb7/p3y++JrvZ1C5ldxv5iBtOVvuLvzeVRzEvlebwQMdtJOVw0s8Zx8w7opNYG7W9lRiDPizPtW2I2W0kP48shNa9jUS3kXAN84yPcRPIG/+qzEvcntoNecNG/eaq5iW07CpdDrrmpRq3kTgEDCvmZb3BZryQodIubiPpBtJfolgwZl7+Y4g22OJ7uKC/02BEt5EWbRRTwC4DTk6xJZ1FPj04vn9urvKAaCKV8nNwr7TxIrJRo/wQn9hf3tnVRuu73rtoHY+/6KFsqjw389Jpwx3DVa2ZrnnhxFmIolmSOsTfR4Nw3M528ebKIknXeEYXzUtGWT2N6PeJmgNJ86IM3BHzAuFc4IzmX9zqK0CcAMT3bo42MrcvjQFWrhfHnpneNvhR61jhS8+VeMmMrIq1cuJv64bmRWReKHfuvb1fLlS2NeGgCZZQ6XaOtXvbOc+LXfNigqfNxB2j3R9lv5BzjXkxBhs514ZGFZqXGS8vxtylazF62fP4iP9PAHz4uo3WG4g8L2bBrsq8cAfmRTGMhCYTD3AtS+ewCUNFrBmKyhKZFy3aKNa8uLx45zDXTvFUAxWe33YzL8lVXnR5iEDoCEEF+nipA0A3hmxJ6lzvXcbAyqTKc0cbdQbMhHmRf4WmeQkD2phguqaCMwbfY2T0TnRCuaylbfhpfxlaDfz5Q8Cv9gVeeUQ7NzZeJBGoyMIIOw5HbqP0dwDF35n4qMQyXAW7kvGifBcJ1EPsx57DaAwkbfP+YFd8cdyv8S++VVqO5wvGRobbSKgPBVGwm723kfVWRqhJ6lyy7bpiJQoYL4Z+xcHQymFcvPXuTwCr6QggMc+LdJyZy48S0MluWhHJWE7oZuSbyJoXK4tXsebFdQ4TMfu1ZTjuwgdxwD/ehx83L8D7vGlSrfKQORuw8cK1jpn0o6w8L2FACiyNWVkhT4Ax82KjJV1DpWNfvy8YLybmxWnEyWm80MxLsVVZenmAMJDdRk6psK1lCpMF8zKjP8T7dZt5AWDc7ypB7iR1MvPSVCJSGkxlXgL6vQmDY8xoMMY6mhdD+y0p2G1zQbA779EoTf+SF4HnbgAgD5K9Db9Tf4NBEsjGy/MLVuInNz9Hn+uAJ15Zjr8/OV865sS8MPN4QGnvPunfgit7v4s/9vwoKT8EQ9OX3cIs195GseYlI9pI0Lx0J0mdYLyU1FmIWMkzXCgUrMyLu/HSCPqB275Nl5UYL/J0amNb9/Jm4keNC5K/mebriY2XjKUVxbyYE73Yy8qAyrwUsUsbCDBnaVrf3b2XauZFAw/RE/ZjAtJN5EwbM0aal1C6lkoClkQbaeGY8sDSyxyYF2fjJSorcRtxinlJSjWWs2zNEO58/jWEzjvpRghJWr9cJwjDQHIblQ2VBuTnuVX4KiZO/4X0vc2YcZ3gykQbZTMv+cqOkyjyDt/c8OWurAp2o/dodxsl8y9j8JiF9i4p2A1EzYvAnKA9hCDkWLgiPRYzL9KgJrxrJiTo8hDio797ANNmpqG5edvV+399H06+dDqemZ8KmcUy6Ay7uuZF2n9JewwcH/XvBADs5/0raVchPDR9JrG48Brugl2hPhTkJHVZT6ZYW09cdx1k5XzJg1XIcKFQsGhe8jAvAIzbYiT6M+V4VtTpsY07k8/maHj7ewp5oETcWZiX0oJdhXkpYOCq4xKHp+xt5F7WOhHsrh9wXLn034E+YLeB32MNRhmZF08eLgAekEnq5OYpf6YGDGvncNQNxMaL5DYSN98SBX2WxnnchQ/imfkrceVeM7Gf050jkNEIJTsBDwOEQp4ZxvWN7XKXmVEnpq2M89+vFPOSGWGRl3mJ20+8mpYHOfV+QRDQt5Cobdl3b3QblWRegs50H/0hCL6DQRx7/jQ8LGTyjAc2cTUvDdAC89JAgG35XPyq51eZdcjCS4tTUankNnLWvJgRcmBIGHrjazkYGr68OGGen5bmmKTOqHmh3mcXmJeiG+1lYYD3YIj78ga3WdC2xegcBkObVzP9URszAvny2ZgEu1nMy0MzF+OATUQD3vy8y74JLdqowLtVF3GKl3f4JKlbrxAe7BvYqwDMgl1t8OH6XiVA2jAYY7LfnVh5AZCTyWnVc3tLa4eium46OiqLFOw6JKl7Zn6kbn9+Nr1HlKWixLFyLp4o2ijt2LwS48VeJ31X6SJuo+LIZG0KZtjlCXOiDpyE24iqA6F5icsyGi9Dq4HLjwNmXGavpKGNt9BAGBvg4r417UHJcInqTRgvQrGi5sUDx196vi9FRlWhefGcjBdN8SCUJX/HuexSjl1OIRh6FLeRuKu0K8zMSzRZi3sbVb8xI5cmIDXnSxm04ecS2QKIDG3it4Q53UY2pM9Qcd1mpUcQoDMvqfHy7FFX4+5gD/K6+SvWStsDdDfPi+o2Mr1b833U/sPBIo9InPG9dhtBmgzijmoX7AoYXIWdhvSNF2W3UVoGRRsD1WheVneYl95OUYElSZ2Lbd0coqlPE7rCvARtSewVhvTzy4Nn5tl/l217AFd3kJGSdXgersbLzEWr8ft7X9LDErXy4jwvdBfWo40Mmhcq2qhTptFttHZJpE+59mRrHU3tcTEfl3KdYuikkgNiAlYhHIoYkLaBeWGK5mUik0NQixqc8isVjBdi1U8JdiXjRfuGSy7luO0H8NDT8FLDDh3BbnKeHbHs3aR5iY1RSY9japcl8ryIBpFuuxTv50ERxy2n3aWR5qWq6a+Y20iEGrKQuqI87LzfOzFj20+T13ng4ILx4tvyGZUct7UkdaZ9mqzGi7yI8sCxyaXvAn44BXjs0pp5ASCxK4m3yOg2UpiX676IrdpztCJNodJR7IT+1IeIVcIj4Y6dy/OFSje9dICTk9SlwXEuG0L2tXMaL3GDX/FKqrYvK9jlIXigal7Kdays69UO1RQfYVnm5ZJ/s17X9Fm2ILnznA/72V343g3P4Ld3zrSenmwcGhsvWW6jtinaSNC8JHWMmZdqVqYxBngT08Md8LX2SYLxIhgsAosyDqsxo+9z+MTd74xOk5gX4bPg76cEkoWZF4MmqliotFyHkENKkBa3TQ4PPb4n7QkeRRu5JqnrlGeYwFpCqDSPM4J3Ic+LOAGpbqMyujGuLzOzYWBe8oZKAzAyYEbmxSVZqb3oKI0XY/jPw3Yiv/cQYqBfziNkavOlmZdWCDx9LTD3YQBm5sW64z1rS6zwJliJnkVPRuPAv/6eS7C74WpeRLeExrzoxosLTKHSpi5FdY6EinehUzmH14pWntbtAWLjxeHFb8xp4+W89vuwgo/BV5uX618OrgLO3i36/O0V5d1GQRAlTYvBw7xDkobMSAyYB9HS0Uaz/mm9rsd3yGOjPNPp2vbzMpLJ0qMNDDLDLlUHMcFEMgZnuI1cobTHG8P9cVrrC51bEW4jgYXZw3sJANAMI+PEpHkRt3OgDMSy7UotwyTY1e5tXQDLzIuX9G0WMS9KtFH8jrLbOKznBYQ+qmrmxWd2wW7u7Lpi2QjyGy/cwDiigGDXeI+O20+xQPIwL77iN0rH8nhxQvdFBmDNmtWSlNn0/suZLsDU9kvAladGf3x7ReI9aHMPDSGaUt7AWEYTbfQhXbDIRr6eFd+GDZd5IUSFSbSRurcRc9NcmEKlTcwL1TliHYyT2+jG0/Dv/9gfe7BZyb1teV5cMJHRxstz4VSsABGKGHJgxTzhb8MkmAdhIGWsDCvYVTrrenuSumruYUJPw8udpM4c7tj5PnEb0ZoXdfUduY0o5kUMlU797ACd3rwMxFDShF2Q3EYp86L+elk7IdDObXl7ABWZ/bpJh9+aNC/U1h/v9+/Dx/07jPdNy+LJ35LmpXM8BEOvarz4fmZbUGFi+cTxKK2SyXgp1ta9DOZFZASfD7dCHvSwIH8PDGmtl6YdzIk/P/Ayfn3HCwDSsVzPtZTDbWTRvET/pm1iVjgZf+g9LjqMEP39clZwE/NW1pCfHCp5bmIxvfIcbX2uiUAyXqSUDjnzxrxOjJeYeen8SYTPuU1MNPPiqbtSd0B1jqw9XSQ88nsAwH82rk6inyjjJR7cTI3mqkdTke5Etpw8JwQjr+fg8uo+JNLM50QYym4jzrkWDRTDNatm1iSlTmySbsJxSLTuj2MZ7Hsaet4ZogDpr0x9g+Y2sp8fhKHhvckKCPFIkJUgKwvKMxGj5JIJ2uA2Ut9Jy5DnxW+lUUEekUvH9G5f8TsTZ6Mns+pZ0UZ7ebNwmP+YWoL06UDvaTzeexLw1FXg4JJLWczzEjEvotuokf6VYVDEESumthZIxkuWYLd4tJFYprobc0PodzcEB+QqOzIG8jIvpmijfNsDREjv/Y1rn8JPb/kXZi9eI+SYUpiXXIJdU7RRfEA0/H0s5WOj68DBlZT75l5rbz9Zez0NhnId48eqaoesbiME6BO2dxglGDJ5Q683YONFeKGdZ24S7JoEtyrkcGrZeKGup2j3pMPkeFEM3L49QLI5n16HxasHcdqVjwOIOv9miqBRvMtGvbqbi3PIlGUFxgsP24rbyPz8X+WbOpWZtfGezW1UnlCF9Zk4GS9qm8wYo5PwWkcD46Yn5mHJGmrHbN0oiDODlte8yL85npSjJGmEjoPYtC2GmKTOE55Vo50aLzTzQuNVf4tOpUwZWGljyTVMV87zwnFJ8yyMZ2uBv31aY17ievOOYFccNzzPB3fcNT7RvBjOk5iXzslGt1EpzYtovKjfp8/PlgeLQgMFmBeD2yhqf8W4CNE4WzPUTvtNKebFkKQuLpOJhj9DHLXsgWtb2Rg1LxnGb5YxNxSKLmaeBF2o1+3MdL1ojMhtlM7No5AaMjxnZNoGbLykDcePafDEbaTneXFhXmQ6VjReaLdHIooTEBQyXtIBKcrzIhsv6QSm12GtsBvvZjCLdUMweMSMyRFKzMtQawiPzM6X6E4rMwykaCNuMV4W8E1cS7V+q6VvFxOdOd7Beh8L5RlpXtwEu0mdMlwFXsweGjQvKhg4/tjZodl033Rwq8htpG2hEbXT0U0fpMrJxLxwLrmNJOYlw21kQivO8WFKYiYxL0VAuY0iRIJdWvPS2/ClSZB5nrYqNyHd28jkNiKMBaFui1cP4o7nFkb6ojJuI+H2aqi0+I7yak560LZqXgapvC0GN3chlV2sBZP0V8y4PUC+PC/KrZR7in6lEAxxMKIHDjVNvzniKIN5yTAmJeMlbCdGqmq8XNd7JsaB3nyzh8malz4mLFhybjvyujBemBdn6Yz+Vl+2B7PbQoS0VuSy8UI1DJp56WyklzejamfFEuUnUDQv8YqWyk0jnGrSuwDRqsGn+jPnktX/p/tm4Zrp+TdjvDp4W1pkGBKCXdNq0W11lq15Ud0y+d1G1vvwEI++vAz/c82TUoIzAOhp+Jn1C+c8CNz+XfR2OnYW86KyJFlTLAOwsp/YjZcTBnksR7HszeIGmnkZ1dOQc5nEWD4n+f0yyxka3UaeMODRWg87CzEwNISZi1Zr34tXuUTxqdDX0YJIVhPsym4jOUldA+kw7ejeNJwn553S2dqjfnkPPn3xI7hq+iuYt2wtisBHKOlc1MV0bLy0uUe3AQsaGYLdJRinH+TmaKOikHY4Z+JYXlSwy3UDlccuXJ154fAwFHuNQWWDL2Z4DmYaL0Idg1bClFAM7RRxF3oBfRiSjJfRENjgmnnpQHgQDU+ONuJEkjo3t5G4GkzLMAl2qc5ZjHnhyV5LgdrpJc2LAM6Bv38V4x79dXJoEltmvEcIRq7wIrdR2jgfnLkw12Qf/4JTW1/AM+E2UZnK3kZhSK+DFvFxuDQ4zPEOWcaL7ip0vdbpPjzEeXfNxGUPzsGhP71T2oXWxW3k3XUWcM/PcJJ/Y3In6/nJ76FDpanzx/VRgxPlPouZl2qHh/gtj+4xMC/9S/GPnq92aiDUKwyk52l6B3kEu7HxwjjHVzpuVRHi4qLINCdS9GoNOOQ0CvEkF8JDr2a8+Hn0+ADMxot4z/gM8Xe+tioybv/53Gv4x1OvOt3r9+33aPcWy1SZl0ai3fMLGi9mBJRmIzRFGxU3XtQ51uQ2ms22zCzrw/6deKz3c9hhUM0rFi9OdOMlUJgXKvUHjSy3kd14aYmZ3YMhBJ3nSjFoJhZ0NAYltkXWvNTMSwSBefES5qXTIIJixkusq2BK+XSGTXrwT1iTnMaLuD2AqnlJOo24wlj4NPDgeRh37w+SQ+NgXk1xsIShko5zmVViPChgvMQur7ie8t5GlObl4eZ+2G/wPNwZ7kWW+Nmh/5L+zhttJCLPMGYzXhavTpmN5f2pX7fHy9bkxNjBiyK7sias1G3k1oU9cNp4odxGnYEyLMu8mNxGPb420MfY1lsYXyyUE6AlUPWmd5lH89LuDMQewiQRpAl52nuQuIpFt5GsLOGcS304Hsw5omgj8dl4wvvNqkf8uLP2NorvFf2rnzumt+H8m1V2WY02UvN2+CzWSXgkM21DM4N5IcvjdLRRMW6i4zYSWXeWuo1Ug/yb/pdwVfA2HD34Q2OJP2mej43Zanzute8rdzIzL6HAvPgE82J6/3Htpu/2P+T3WYJd6fkGLYRB/Lv160x9dDQbxGhB5zJKEO/WzEsMQbAb71lnF+y6QPBtipoaI/OilxrRwHodbIg0L2KeFzlJHZnEqqUbKupOwyI4mJS4Lf1C9n97vFCeSwBp4//rw3PQP5Ba3CHXjb+sifOeUE6X3ZuREMpW5zy/x+Y2GtVM69w/lD7rPJNf3BJdBbumUGkVDBxje4lnKk0usfHSGaQrF+xG739UT85VtyPzQud5MTAvnYE62a095Djn9hfImucyXqDnZFG9FpFgNzUkYxo94LpgVwqVznA1h4mrIY/mRS9zbJ+78aKOcapgt63leUldDXldN01m17yIz01iuImxtkxmKTF3DWMQypfLnI9JOK31BTzNt0VI6B9FGDf2jI1XyW2U7jvmIdS0IuYFVnR8zUZbAx+5RPs6l4A6GEqS1FHuZZv+bAJL3bSiYNdb9hK2YIudq7ABGy+pcdGIV5Kd58lDeaUVOWKyjQmVyhavp0RSrtFGnHOcd9dM3PrMQu38+L5G5sXzk8mGKUOuCjVxmQgOPVGS/G38sfg+RHGeDx8h1gwIKnPK+MugHtTJ7+ber1nPtxko1biNAimF/VrBeBE1VjPfeIK1/CQix8EYASDsbWQHA6eFfJwwCmKBe8XMS9wfRpkEuwJUzUtb0rzQyOU26hgvHouM88sefBk/v/Vfyfcie5BnmqOMsoh5ETQvkCfP2Hih9jbyvUYycWXVI66zOdpInJxkg0g0tsfmYF7U3+ua56UNbTvcTDTQtruNROMlbruWDLu5ERv1iksxyfNiGbMyf6smklJcUZLbKE1UGjEvaqSi/d0xMHJ8zYo2ktpV2EpydVGLHJvxsglWJZ9FFsZbPR+39H7VWge5PhsqhAmjEbfjuEGEqqXqNkBJ5whlmMS+VAcZ7Ci2RZ/4Qy8txY/+/hxO+tMjhvvKxouWpC65j93XaQvdC+HBI8Ju1X2cWNi2GgIXjjnJ+F0gGC/yRpiyayq6kb1p5h187B2aJ24EF7xlWyICinMpCqFf2JtIXIlOfu+Z1rJjAy/LGxSHCzNnzQs3pN7WmZfYcHKi9a1sgMq8ZGheBKj6spZAKZsWGtTxsayfOBMYkpLEhZg+Z7mxLi4LmxjxBCAxL50jMVSmcZRovJRIUhe/XxfjhSf/Rp+WrEknkabvkpcISZ1FqHleVE+AyLzk1bzcF+4O20gtTqKhsEgMiA1zSgl2Q/XdmiA8hzzGOrLcRinz4rMQTFmMm+4k9SlqrM/TJ4NWEr2b23gR0nX0MfctFFRswNsDCMaLwrrqxktopFpFyBOuUL6B0SCZl2SSTMtasJLKv6Hcm5vcRl66MjP0JIZo5ZfFvNDEi5zkKdK8mJ9VO7QNLimlLjZuTriNsvKXlN9QIAVDNOk0HNrALz6yB47Y6w3Ad5UveKgwL8KAIrS3MX10UrSkmJj8yPh9cfRZauVkDzwh5VMWDdPk5rFg14F54aEk6Ja/M7mNGvkGylBmXkwT6+nNv2rH3uz9izhTFh/OfG0VnntNMXIKhgqHQhsXi5JMRC67dlLNi4fehi+5GHzfByN0NCJ+fccL6Gl4guZFf88BZ5KxoCapW7YmnUSGArfUEYA+xqnbA+ih0mlukLx9+Jz2B/Fh/26nugSsAXBgdf8gjvrJHbhbuVWZ8UP8fSFPBcq2Np3fWJL7oqp5id+lD90tpkcfUWUSwRkZNZKNl6FkPAmZr13sEwkjY2zCVhm/y4MNmHlJO2Mj3tTQwLy4al5k5kXWvJBVIErNlWFXgE2wG090klEhrNbigci2r0gIj3QbRY8sbZk+b1uf1fyVRDhuXFbnSh+hlKyKk64ovWn283TirzISJo/baKMen8yHE63w0ucv0vBS5kjmAdsfaiw/mfwcNS+cuYeSh1QuGkLzEhuOTpqX0D2XRcK8NH1p52QK0uTJZc1L2a0kAGCIy8yLirKaF1NZ8d8y8xL1mXh7ADXayFaP11YN4Ke3/As/vOk5zFvWbzzPGEnSOVVkXoYCd9ewOnKqeV5Uti+NNvIy24CIS9uHYRA91lq1JeMlem5rB4ewZpBa3VfDvERpZOIkg9UZL2rOJXFAEHfEpgS7Jrs7KYExjXkJOMMiPkE69s2GrIvxVOMl2R5Ab1u2uWYTmBKl5sMGbLyImpfOStIi2M2veRHKN7woaoL1Gs1OHfLpLNI8L1SSuth4oeFivHCATlKnCHbBA+uzsq1o4vTwkfEiMC8h4fIlmJcBiMZLlcyL+67WTTIZDjRdhknzAuYBH/o9BsZukxwSV9ppFtoMZiJZZrt1YcZ4mqRRqXdyTkxV59mY0Wq80G6jUT1+ZtkyyxlK0UbZa8RsiJEV1OLDtD1AFmjBrqJ5UZhGUfPS8JmknfAydpVesCJlbR/qJI+kjDt9h3uZjl62NhXQD7XdjRd1jMsS7CYCaZ5P8xKfaxfs+tpn011sv+6q4G1C1JiITr8QjRdhfFTrJg2bBccrRoVK89TA9RFomhdykYL0N6ual08NnY7dB3+PQTSl809s/F36WzZe2kmeF0obN9o3zzXjWLEcQio2YOMlfaFNP3ropiR1E9hqbML0RFUqVCo7hsndQBkvb9txclRWXuYlcRsRSerIwU1kXqJrm8w80XAYMnmqmV9DO6Vs6qSfedt2wsAuGy8gwq9ZhvFSZuWkgsE9O2uPgYz44Q1P4bkFKR0qal405mXMppi32+eTQ+KgET8F92gjN82L0W0kPHd1teeSpG75o1djcMHz9JeWUOmsiUvqU2EXmBchWyhpvAj3yHO/hDlTfrtsvMjGWew2Cjt90POEBHa+KMjXsZBgOl32WVNVG6uFTNyDOYwX1WUY5XlJ/zYxL3ndRtzJeBFFrdEz3IytxP7es3p5luif01onY+fBP+pfEBl2I7cRHW0k/vK8iy1VPK9rXlLBrqfuoWRYGKeLE7m8tbwX/egjn63YTqW9wyS3kT5W/+8HdqZ/GICxlpQdebDhGi+L0qQ/qeal81IV4+XkxvVORZqYFxMTQa0ux43u63xKy+odWIR9GO2bj+8rC3bVTJl2n3hc7yzmxScmwMhrJE5wutvovPZ7hfPpTvqN9+6KLTaONlnUmBdHzcsAb2rHqgADl7Z0t6FpsCpueHye9LfoNpKX8Z3IN+E5ybv9ukWW5A2VjtxGduZF9bO7uOYm/OMU9J73Fry8ZA1W9Kv0vGK88DTaKGslKroVwQMpw24eAa0JotsoS++WZ9pJ+7yseRERKnmNYrcRB4PvMXi+YFh5gpCeeH2UXo7aoFINg001L9Hfmy6Zjt3Y7OjctrvmRXU/eCrzorS5WAsRdPhuV6TMixkiIy0a3uf2nGMsjwazhg1LGYR5WqlybiPKuRjVJfqHDpX2EWLlWsWANS2MY4ZI0bzYDEPjljKC8UKZERv36m8qdvubRPR5seEaLwLisSC2mGPmZSgjKY8K6dU6CHapDhK7jUTm5cibD8bVvd/G3izNMwFpLxdLnhfwNMOuweKODYUszQvlgVCT1HmEYJdKfmW6BxANYJLxAvkeAEg1/CDsYteicE0gB6SRa1lliG4jqG4jyG1DDaONynMU7DqGMzNweuMzKs9LzLzkyPNy8E/uxH4/uM1SthAq3eNbBdkaMxcGkvDTvHeLO4Z4BvMi2ps57pfm3xCFnGqSOlXzkrqNIjmC4NISjGVS80IYL9R55n2EQmBwNY56+FO4sfd/MAoDuTQv6qChb8xocBsZmJdZ4WS8d/D72nEX5kXSvGS03TLRRqHKvCT6M+UeopGTdT/tcYuGBqCGSouCXc2YNxgvKfMisvVp3ag6biGk+ZfuE7TS90yNVYGuM1qNUQBq5iUX0u0BOge4OT7dBhPz4hNGQTSI6S+V+bFFrzcwid5UMvjGxo7o7wTQaagE8yLcOh4os6ONDN5hJdpIXZXJIYo2Wjemv7m0OuQhMZQQ+UuW8HHGssuAen8m9BiYF9Wgk91GovGiDxTir08Fuzk1L71jref3IU0qJYHaoDIW7ObM8zLUVsunXSdRFlnz0OMjlBMqSuGu5Q0XQG6zPlGmnOclh/HCU81LIrHjuoFqcxv5otuIifoEu+YluYZyG2kLtZh54cBQuhfXW72n0QpCd4NecxuFkuGnGi+p24hWo/AOz6wi7hcuiyMgu+1WtbdRKG1iaWdzbNg4WAy8dE96dmwXUIJd5kkZolXjO1tOKWtebIbhZLY0+awJduMFBWm86DvEr+KR8bIRy46udcHrw3iJrdgk2ih66FlJeVR4STlQQrGJ0ETDo/W8mHmhW1jq2pIt13ilrUUbcZ5MYAwcWDoLeO4m6dp4Ys3M80JG0cisCLU9gCh+tPqkBcGuyAJxTiUJ1Mt5lm+Nc9vvx7danwQAfLP1KeO98sDGSKkgsxBDnzD6hVDpuL1xYdAQB2jS1+yoeUm2dPjIH4HNdjSe/+3mn7DDmunWMhM2ME+otA0G5qWv6ZOaphjRalK4VtiYsWiCRBUhWDIBfLN5CfZnsi4i78apMVJdl5BXCqrmRXaT9gh7G/mevE1H9KxSo1/FwlWU5qXzHv/t/OTYpHG92HbT0bj8swd06iQYL4IBe6g3o2OEFnMbqRsz6sxLunCkI7OYwajJhjguUhEwecvTQWlehHnFalg5GEt/TN3vyWKIyLC76UZ9iaHWQKCFJWeFSqual7jeWcyLvHhvJcbLSm8CsPWB8oWE8RIzL1Xh9WG8+DHzEi+FUtFYHpgy7NLMC1028+MN4XSDZzu2AEG875JAuzGoeV5E4yWUB7dz9gYu/xjw4u3JKS7MC2DSvMjMiw+deZHdRma0DdFG4LqpQmWO5WD4SftYjH77FwAAlwTvxtxwouWObsh6LtK5hmgjdfUjuo3S/CnC4MrFlU+K2MB0D5XulDl5D+CUh4Fd3me85uDl1+gHCc1LGm2U33ihEoLFEKONbNlIVeNWFOxWIdaN6xJPnh/w78cVvd8znptHY5MyZzwNEFCqHOV5SQ82EuOFwWNAS8iV1NvwrI1BNJLT+nbKbvYlx0Y1GO78yqE4YPtNozqIRQqT3RZsMQZzaF5U91+W2ygWYrcN2wOIeg4RCfNiEdqKzEvW2O6it3khpDdWdI42kj7nZXrMmhewdAGruuABs+HNpE8U86vXUXTxyMxLuqs0mAecIEcmkcYLr42X3OiJ87zE7ziswnix53kxiR29Rrwi0BvYRxt3gt0cpbmf9VoaC++xNIlexLzIbqOkmYuNds4D6fWdM+IJgdIbhNykeVHqGgYapeyqeYk1l6IAObqH7mOnVuZx2f/97p2w6ZhI/1JFyHQut9HQcuD+X2nH1fq3B9cCA9E7jEMXxec+bnSq3xGfWU/HXZKteVEFu6D/zoKS6lysT5CRKJDCQEt8lvIzSZLUNX309Sji6wNPST7qGZjTjRldo8KyEE3Pbm2nmGA31nIRmhfIzEs8oUeaF4YB4RH2NHxrW6CMxaQtNlLjxehLUJiXjVg/WnnyvBBuI1FaZdoeQNRtiAgNzIuLYFccF8X2Q2kbXX7de4d+gDnC4ujOfy3CdTPmEcYLnedFirpybEWtziTFMowXUbCr9YkMwS5T8rzYNC/iWK8lqUsWZYSBTRgvaih2WbwujJdU8xIvhaKXaxax0Yhf3hu8V4GB5clx0ngxTCKe30zKoqI//EcuAAB897rH02sQJsyLptLnIRj1GoUGnBgvnYkx8Pr000EzL9TGjGrXdzVeTMwLV6IvAJCCXY6oj4gixjK+6xh53Ebjb/4P4JZvaMfVler3nz8a+NFUYGhNGkopPN9tNh2TfBZ/gyvzEj8/jaFy3OsovTnBvCSC3fzDw1pTlBUE5qXpo0dVPvemeiZPZV54mDAvVbmNAPvvK57nJd0eQNS8iNhm4e3YWMgyGv/WEAw+Y+gXfrrHGNIklHo9AqJqpGGrTGjirtI3PD43Ob4RBjCUh3mBzrzI2wMYmBdOC3Y5GBbwTYg7ZQt2RaZwsZcaHQOE0N9l3BhED17iU5K/l/e38KXLZ8gZdsOoNLGOFFzHqYe/dwjW9A8I+jPdeGFMCH4gBLtm5kWoJ6F5ITcSFspWjZd4XCP1eYRg15gosSBeJ8aLrHmJmZcgd7QRx65sNm7v+W9g7oNp+TncRnG0kYdQCyMUMTiYipqanQ3kAYrR4UlDlPeDERtdiAbaaMb0tN+r3S8EMyepE8r1MtxGtt1T253vihsvDM1Y38PSepdFntV8Y8Fj5HF1AGnyTuddMlPQkij5eTqQjZfoPVsFu2Ikmnpe7s0URT1T53Ns7BdwG0kh4grittvX46PZVAYyP12VNaAkQgyDJNlZlcyLzXgJJUYqj/GS9kV5Dknf0xFPfwXv9h9N/o4N1jjX0kBb7QtmwS41USX9U2wb2mqcxQXgJzc/lxwdg/5y0UZKMkQtVFpiXmjjZTVG452DP8Wl7cOS425J6mTB7uDHrgKQaookOLKKpMEoNk1xewClL4rvxtV4OQiP4/n7rpNZkuiDUKd0zNUMfcDMvMTXG5gXsY63B3t3yhfHftF4aafv2VGwm5csyMI6MV7OPfdcbLvttujr68P++++Phx56yHr+lVdeiZ133hl9fX3YY489cNNNN1nPz0LMvCSNjsd+13w/nwF4l/eodpxmXgxuIz82Xri274d0ntAgm0IWRW3A5Zwe3ARNzt7ei3i+95N4nx+5kgLCeOFgWDLmjXRlRBaHyLArU+XZxou6txEo44VkEJi2hcG6Zl5MEDu2uk2D5BtOjtPPLB5orb9KFOR5ihGg/p0FxcjtFAIgn+YlvlaMsrLtKu035DbYEoyJaECu3m0kbr4ZuSfc+n8enQ0p2M0Q/yZuIx6FSmt6DEsqhNiFIc4fqfEiMrTyteK0Kj7TMWwgV4ZdagoRkzJqmheWuuzpqKLoh8ziW+BlPkk7bquVOA6FYBhiEeNCGS/UVihAlF3XBA6GD3j3YpMX/pbeR81AbrnWFQ0mjIck85IafpqhD1t7ExkisT468xImfVE0XkR/YBptRC602rqQvAiTa0PXjZcrrrgCp556Kr71rW9h+vTp2HPPPXHEEUfgtddeI8+///778bGPfQwnnngiHnvsMRxzzDE45phj8NRTTxWuQ7PDvOiC3XwDPQNHD7ELJjX5mVatvmS8mBt9Q8ia2OwEFgJEA/B8oWGLzEtap+80/yjlxqDypXAwLBz/JuDYy+TjPJR1EVxfL0nMi6WTtgzMC3mVwW3USASz2SsxV9g2EXOF2LHl38aSwZwbjZcUKfNiuRmRNyatSM4uTQ10cbRRDhYnFj1LG1JCnTBTt5HXIxsvT766JjEuGpD3voo2ZowFu8XflTq52dqqaarPgrgxY3wV5/Z+EesKIsEucZ6D5qW3Qeg9JOOFfm5RmoL098VuI3fNi91lbcvzYoo2sn12iWYEovcQR0FSYd+xpu7lMDKQpoc74P8NfQ3/0/qMsfwetPDLnt9gh/u/ggmI3H6iJtAm2M3DEEe6SLPxAiYzL66al+SdenJ5ad3SOrYJ48WqeVFBuo1GGPPy85//HCeddBJOOOEE7LrrrjjvvPMwevRoXHTRReT5v/zlL3HkkUfiK1/5CnbZZRd873vfwz777INf//rXhetgyrCbl3nxwMnIFHIXV5PbqJPnhYFr+34kaA92tCURGgiS8Ld4cHx11xOBNxwGbPPWxCfuSQqx9Hq148xfAw0cDA3PA3Y+GpiwtfCF4jbibW0l2uKpEWhlXsK0Q8gbM+p7S5lCaRsjgHkRB5MFq4Zot9HEXchy9vJexH83rkBvaMmFIA5OKkOV0210+7ML8O+/vR/9Q2IIfLwSc+8f8TO0uY3EJHWNpqy7GgjSPqNFUPA0gqUM8yL2SVNUSwzZbeSOqZuO7VzDjaHSxnuC3hxVn1r0evb4HnoxhF4MGZgXUyoCmXnpZS0ErSGtj5tAGS/i2KUKdqWNGYlfJK/+qc+W8UVyXwND3Lw4jb3bHx/6Os5pH4PPDZ2Ke8I3aQs7JvVrwcjrZImVmRelbuJaMo/x4jeFs3XjxUPalxqk8WJ/d+reRolgV3D5p9otIg8UIEUb0ZoX3W1UJHrRhq4aL0NDQ3j00Udx+OGHpzf0PBx++OGYNm0aec20adOk8wHgiCOOMJ4/ODiIlStXSv+piBclaZ6rYnleGDh64Ma8mDKIxsaLh1Dar0XC6tfgC8xLD2trbqNX9vsG8P+uBjwx7JRmXtSOQwnYQrDUMPjiw1iD0UJZsualaIbdN2+3aaeMUGI7OMHmUG6jaOO6bmheqjBeaOblExc9jP6hTpsR28RmOwCfvB5f2vQ86ZltwlbjlMZ1OGz+BeabCe+WqW04p2D31mcW4JGXl+Gq6a9ofvY8g02sp7K5jeJ31df00VCYF1GD4iOQcyfxIOm7ZUKlxcVKyOlol/Se6cc8mpdNx47qXJPaC64pYzgYmd/Ho5jVDmJmo88HHu39PJ7oPSl5F/KKmGbB1Gy/ANAM1rr3KpJ5EYwXw8aMbUO0l3yMYF4sLJT4PjlYRgb16Nx5mIiftz+CRZhAniW+ezm8vWOEhanmxTYWjYF7YraInVcMIsltxJKtNqhoo7ayF5gG5pFua4npYuneSTFkHVorQ7BLaF5yakyz0FXjZfHixQiCAJtvvrl0fPPNN8eCBQvIaxYsWJDr/LPOOgvjx49P/ps6dap2TuxpiFcBLIfbaB7fNPlsMl4ot4Mxw6MXGy9mt9HzM2fitRUpPSL6NdM8Eun5ZBIrkXlRRLSUcIqDwY8fVLMPi7zNouMa82J3G9mMl806A7seCgstBbspVDo2sJhwrCzy5HkxwcS8cDB6JQwA270Drza3IX/D1LVPm28muo1UN1FO5iWuW1sUacYZdnMZL7HbKDtUuq/pYeNxG0nftQU3gtY+wiCZIOLjbe4hZPncvmomaFcfvDq5r+W6ZixGnNo/chul7moX+yUOldYLJfp3fE3n0CaNAWzEBtDLWtiMrYgrk55oiDYCdDarGaxxds9RizQmWG2brHoOo4SJO2Ve/GQCNtVLykJtCQSIIRmn8DBIlJ98zzxcePyb8Y4d7XmixLtSfTza20iPJlSRZydlr9nM0Lwwq9vIA8dHfqcv9mPNlDyC0qHSjUYqbxDLTVAo2mgEGS/rAmeccQZWrFiR/Dd37lztHE8YRAA4C3bfP/g9vH3wl4kBE2le9Ikuj+YlNl5sbqPvXzVNKrOJdmJwpenHRRCNh4tuIz2cUa9vGskDiIOILEjLEuxamRAv9kHLgkwG92ijhpIkbri4jeL6v4nNxH5eGr0RGS+E2yi5jl7XN0Jd8JYWKgqCVeYlv44LiASM8ec0z4v7YBNHzBg3pERqRPf4Hj5ywA7SdwGXN5tTQ6XjSdoXjficv1XXvBSLOFllyxSaPLM0SZ26s7KtfprbqGeMNfIsZl7E3c5d3EZp705zSMXoDdbkYF70NsLid/fcDThuxidwdc+3hbqlY2+W24g2ZCzPQkmWaXMbBWjg8F03xwlv3dZ4jgqKXRUXdzbNSy54DYEF7bxDQ6h0k6V5twIhIOKpOYuASz8CTPuNXiNpywmaeWmz1AhP7isZL60k2oh08Qf6+DWijJfNNtsMvu9j4cKF0vGFCxdi8uTJ5DWTJ0/OdX5vby/GjRsn/aciFqsmY0iYWv82PMu3QQgv6QRG5oUwBtTkTQkE46VliDbyEUpsQBOpHiGJZshkXgTRnGa8EG4u1TCI09gLgjQgdhvJaCnMy+xwc5BgaTSJl2G80MwLtFDpKowX6p1e0T4EL5l+BwEfIcagH//X+01c1PPT5LiVeYE8EEl1Mhgvi1YN4pL7Z6UHNOYl3/NIN2tjQPI5rnsOzUvHqO+3JKlb1XFFMsYwbvRo6bugw7cAdJK6kHMc4D2DA7xot/iAeeBevqRXslvBs4b1izVXz1rFR8OIhHlJNXYR8+KieUndRt9rfQKXBocBWx8AW56X2DDqFfouLdil3UYIuTZ+9Yb9mkFD4e5gDzvzMuMvAIBdvDnJd/GiJeDZgl0q+sUqXhbKCzjDYGhuv7FhnpUMUnzmTeiJScXtAfKpo8wIWcPOvICRC+/Yk+CB4wP+fcAL/wD+cYZwndDXM4yXQGB21OujE4bS300ZL23dbTSijJeenh7su+++uP32NFV9GIa4/fbbceCBB5LXHHjggdL5AHDrrbcaz3fBe1/6HiZjSWopdvYNslnmQNoZeDJ4GMLuKCbDwW1kCmmLNCEy8+Ipgl2po5B5XsyalwZlbImaF+k4l0ZyinkR3W8hGI5vfQ0vbfPv+g8T/Ki+1CmIbm/YHkBdmVaheXmbr7tobg73w6FDZzuX4YHjTd4s7XiUTdhuvFBuiAanjZcTLn4I59z2PIA4tFYpk/A120AxL3F7aheKNjIzL3OF0FcoodLinl0+ArmNhiF6g7W4vOf7OLvnt9EheOQWEjbIboU8gl3aCKMguo1S5sWtfnGeFwD4fXAUvstPit6FZZSOx7RRjfR5JayVzXiJDVRlnyUAGMWzNS/3BrvhlNZ/0m06HnuIqJd44WTSvGTttu6apI7Dw4BlfE8m+owfKn4tsoGJ+4tzIYRdYV4K7o8lZhxnhPECRrOG8SKSgaOXWJCJ12ftbSTujh5DcxtZBbsjnHkBgFNPPRUXXHAB/vjHP+LZZ5/FySefjDVr1uCEE04AABx//PE444zUOvzSl76Em2++GT/72c/w3HPP4dvf/jYeeeQRnHLKKaZbZGJUeyV+2XNuonnxgsgHuwZ6plkRavKePIJds9sotWhNbVtlXsR7JkmwJF1b5zU6RhuZmBefCrMNQ+jMi1xxuVEyzOGb44m9v6uXlfx2Lj0zdbsAgE6kt5KPTgW7ybvpDvIyOh4LsQ97QTsesUpmt5HHGP6r9UXteDOgBX4rXn0BYzqRDgE8fSGa03iJBySfsXQn2049BzP6h4g02sgcKj2Pb5b+4cusSVtxG0nRaGEbo4NV0vkc+ZkXMSlllttIdvUoxottjxaBbpc1L47MizCb9iTi9DT8WkU8po3yBOMl1uCJ/dkQbcSJvjcGA5malyuDg7ESY+hVd2g2XpIs3zBn2KU/E4s2BYE0+WYxLzEDnsG8CFo8UdsYszBcTFKnXPvbT+xrLduEKHw9qYD8b+cjZXjH4/AObB5ahJ5TdrzpDBe1u70pz8uilf3JLvWueV5GnPHy0Y9+FD/96U9x5plnYq+99sKMGTNw8803J6LcOXPmYP78+cn5Bx10EC677DKcf/752HPPPfG3v/0N1157LXbfffdS9diRvZLM7X47mhjWwiy8iyC/VI+Z3EaE8dLp1F9vfVr+ImZemFnEF03uAkUpdKC4UVKaFxPz4qp5Ed1GXDQOJM2LngNCTf4FGBp055juNtKHpFDYl+Vrrc/g1mAf/Dl4VyrYjVnvLjXhvMYLA8ce3kvk8XgAoFxhjAFP821x18GXS8dJ5mXBU7in979wZ+9pAKLfrtWSEMpl1RtAZ9KUGaIB5m68kNFGCiTGQjFO2/ClXcffuWMqlOdhqOlGAnjgpTQvVIbd9B6iR1dlJqyaF8ltFJflLtj1GHDsflHQwanv3rFTltltFAeVjPKJOzjkeQkCfSuAMWwgs/UnEyF1oqItFJFGG5k3ZqQ+u+1tJGteBkLzr0jdRpYCIT9zWYfYYcJFzYvSv9+x40R887272m9AgYsLRr2CjNGGQLMZRZGe03MuNsWK5PiK/nhMiOtJMy8iskKl73p+YWK0ORsvFUcbVbvZgAGnnHKKkTm58847tWMf/vCH8eEPf7j6ioQt4JqT4QfRynUtdxucRealSQp2zZqXS4PD8dkdVmKblztZGQXNi4l5iTKMEtVnjWRbcclXmxVtpAzSz/BtsCPmyfUFo3dMVqKNfK5vD6Dmz4jqR/wAg9so2nhSEXf66bu5PHgnLg/eCQCEYLc7yOuOijUvKhgEY9HAvABAyGQWoSccAO7/NfDmE4Cezj5Iz14vnUO6PYhBw4aEefHkgQoAhliWcZ8iHtiH2qJWxfJ2fDlcP+ByqPTmGwm5g8JA62FlBbu8w4mJ8MCT9y4mV1PbJpXkMS1EdBvFzEt0JAthx230g3/bA595+/Z4w8TOe7fMsPE9+nIaL/Fvb4dci5bsw5BztBHFXNjcRmKel03YKu17Y7QRcUyFxKxxhqHQPFkG8SJQmXhHNX2jAS4ZL6wN8JiYjn+nXrcewy70NoQWVxQAeAbWcFRfL7A6+vwGLyUE/uOy6fjTifunrijIxksIff6IjaMJbA3+zbsHt4b7whPaiYcwdRuRjL2+iKp6e4B1YrwMF+y67Hbg5TSDbDbzEkHsMJQvkWZe0hcldRAhw65pPRYJFvXvWr0bA/2U24hiXtKGpnb4P7aPwHPh1niP/zD29GYm58huo85KR92YkdjbSGyUYWK8EJ1WcBvp7I/yexu0YanrcsprXijkNV48cPQwXQ8VxVRYhG0dkGH7t3wdWPEK8J4fRX8rkwEZWltQ8xJtABgfjJmX/MaLKguNsZBPkC/wolBnr5PPqA2WJqkTXW1AtCu3ljMmP/OiTowqi9pAgKHOpBBImhcZ1hWk6DZKNC9uJjYHA+eR/miHSWkouc21kWTY9Qhjg3nA+K2BFXOA7Q+mrw90N/AoDJIsDwVq4rJrXlLm5ZFwR7zGJ2AIDWzFFgOQ0zpQbgwbVGZtIMg2XtThZFSPbLzIgl1ZhwhE7cTkNgIMrEQGdrvpg8kOzCYGmxLsMsEVO8jTz/e/0EkzkthDnjqBaGXFz/Io/yEc5T+EW4J9cVu4T/K9h5QNpTUv+lg4opLUDSdwAKuUBHZ5mRcPIS3YJfK8iDkopIFAiLgxbW0UMS/6fVq9GwtlMvJzWgFRsCujH704L3g/nsZ2ybGNeps4dKc050GcDCpyG8kWtzqwuTMv6W+XBbu6aDA0Gi9yqHgVgl0Ked1RDCFp2DIIvmJCYMoMzEuC2femnzXjpbzmRRTsSqGUyOs26hgvklQk+mOAN3Gc92MAwM6Tx6ZVFTQrbSH6pMkCsDBt/zxsawYAZwzIHW0kGy99TDdekrqF0SasE7Fcd5Pa2obgNkr3NnJzQ4ZgpKFDRhPG18SCXZPxcsKNwCFnAMecJ30V16cVBNpCYhSG3I0XoszE8MxgXlZjNA4aPAefGzo1/T1G5oXhHTtO1HcjFyAza0Ar5MbEaInmRelAfQ3zuxXH5B5B82LMsIvsaCYTkrGEuJ7a/ypU2JTY+JHKSq5XmBci6k410N/tPyr9Oh9h8n7JUOlQn7+q1ry8bpgXBuCZxW3Ez6/FfVLUFHAmaUwA2fvYdIw2MmXYTd1GyM28tEXjJZN5MbuNUlV6WsiVJ78VzT5iMtCS1OkrtZbia46qRK0YBLcRk40XtUzeoHUFsduIJcZVd4yXvPDAScPWE94l1cljI88c2UO/U6Aj2FVPL2q8sDTaKBHsMou2Q0EjptEJoev1wYF4+5t3x0/23AJv3Dw1XkKvB+i4cFuiYJfxdPUOIMrzIv/S8syLh1GQXWyi8bJNMAfX9P4PAGBmOEU6z7qCFPK8xI8icNa8eNpeQEDa1qkxIQ2VNhgvE7YGDvma9lWyyFi7BBsp7s5RbJC8F4UtNh4FLOv84TeBYAg+wmineGu0kd/5t2GJMEo/j+1r4k+ffgtmfd/c39U91toBRxs+mYTSpHnp65Hfrbw9gC7YjV6XoCVRkKWpyQRpvHRcftxLxNmcedL4IhovMcOYuo3S/wMGzQsxHomuRA8hnpq3HAc3TMZL95PUvW6MFwDoG70R4vEqBJ0kKYBHuIFS48B9ewB7tBGLo42IlZa2t0sH7b5NyCLjxrNJuDQ9KDEv8u9MGpHQ6Jq+Wt/YOJDdRj7hNlJDFIFst1GWYNdovHQhVJoClf3TBs/QNhh4ujEcmaQuwryVuuGjQZkM6GijfILd1LBiiZ89frt53EZNym2UlBeF4e+99cbSNaHAnIgb9TVZILffMADn6krTz615UUWKoyAbemK/35M/l7wce3SdAkqw6+g2CsEwjlpAWHUeHeOF2lzU4qaMS9z9sW/jPEXC04ch51616UZCG/EaQBDtixRywCd+d7qDNi0YNX1OI6cs+h8lz0s7DNFCQ3vPQOrWFxdZHksjvGKIdxMXrqnxwjFuwQPGuhUkXgRQIv+o0AB+8jy5km1afBYp8yIwq+TGjCkodlENm46vYpSFRjAvI25X6eGEAUHj4iE0GC/0njrRNRy9xK7SdJ4XwW0ksSTpBA6ANF48hCTDIxovFPMiQWJeFOMlpgQJ0a9eji7YdWFeaLdR6n7LCpVGk544G8rg0i3mpYhg12S8pLu5mgW7592rZ4bWQIoulXoqgt3L2u+0Fpm+y7SerES0EZXbgkMOAY4Reums2eKpCNGHzLzwMNB8nyHLz7zsILI+YFpfFttkW2B6dDepZdgUwprTUGm3dnrSO3bA+NG68WKbAGPXs1HzYoCtPqMwKIkzKUjizxgdY9SP9RAOzEtUF7pe4pYAXmfctO1tpAqyWwE3ikRjt5HYLMf0NDTmS2JexFDpjr5t0qIHsPGrd2m/I7m+rPVCMS+df+Xf60HO7ZUi1uKZktSlgt0U1DyoslBaLhoRhOZlxIVKDye0hLh/DyG22Wwj7Rxb1sfCGzOKA3qi++jQygZRG6X2D0cJxouoeaEajyXaqEUp7ZUyxI3bZMFuqG0x35byZ1iYF8FtpGfYlcEbaVjtFuPTSbQbu0pTcFsrp2BGwW5qmJlCpQHHVUnowrwMaefY4AkTrKp5GXQUtAOCYFemXpJPPtEeROMl4GmSugYL5IE4DCIDRrwWXm7Ni+/p7VT+DenzlY0XGdZBONk/RkhSF7rledlx8gTyuNRP1ZDxmHkhjRfzPW1bBY1mOSLWxEytvmK8EL0odnPE7XLS2F7pXZg0Ly7Mi7r9QxBy47tKBbtpeWN6GxpLZhLsxi7iyUseSI5RGamLal6S+5Nuo+g+IjvCmS9EKMnQtXhMaRtE36QYH+FZiGO2i9tI3P6jKryujBdxQPQZJx86bbyknyiWhUz6JkYbiV8IotVoZUa4jUC7jQKBeZEDgyjmxRxtFHdoycAyrtIU5gX6rtKqUM5UpXRvIw5f6gjilR0Igl2xA6u7SnePecnrNqLZMjnDrtl/bbyfOCC5aF52/YB2jh1R+UEoMC+Jv8T9Gch5L+KiUzcUmb1ZiI5YMRAKWT1DRbAbQmedPEkAfXXwtuxKEqtNEWJWa3HbsVzMy+oFnWtSFsp1Y0bT82amhRDEaCMivNf6/mzMi3uotATNJa6Xke5t5GPPrcbj8s8eID2bEF6yWBH7tguDIWleOEM7CEldI5Ay42KxPQ1Py4Ys3rVBuY3EtrDONC/Q7s09zygVSDUvcQHSX7TbiHCb6xtTmrV8qvs6lBxN1eB1Y7xEC0ulMxEPnbLUk52cQYvm8rmNUhYnNHTwT/t/x7eal2jH0ZvS3nKEkZ15URH/RpZhfQPAHo98Hbjrx8nfDaKpc2nFExsXFPMiRhvJbiPt7GaqeRFzu2hJ6hx2my2C3Bl2jYJdweC1aF7MbirRGFCijbinP+e3fgnfax0nXG3/HdqmpUChEbeRuI3Eo6nmJctt9PCclWmSOh7KYs8w0FaVnHmS5uXa4K3ZlcxIzCWurAPh9mqftzIvK6L8SUW2B6DcilFhYl3TwkKh4J6cmhcb+jDo3Pql9ufgNhKjjX71sX2w/cSNpHexy5RxuO9r78Q///sQqU/EIdn27QHS37tyMMA5d7xojjZKFlLiwkiP9pKT1OmCXdVVpaI082LVvIjMS0N63mJdVM0LgxwqbUtSJ0IW7KaLMqpvq/NPCPteYkXwujFeACRbeCcgOje1Ak50HAZGhDpmHDgktxHdwbf3FtDXCvvB5NG8qG6t/sQdILqNlPp2yuwdXAzMvic5HMkq9XwjKkiRonFvI13zwgTmRXQ5rCu3UaE8L1maF1uSOpf7KQNCm2Je/Cb+HLwr+VOMOqCQ7CTNo+zJnVpF3+V4BHHad2mi5uk/FPMiC3bFJHWhJPiLNC+E20io4FDG7wQAOTxUfxeiQS2OA0xxkwa2PC9rl0TXQMj/4bg9gGnMICcHyLloeqrUvLCizEtkTEbGCzI1Lz2dsGTxWW+xcbSLtqewA0kUl03zQoiAzcxLnEclPdbw6FD15Hsiw27W5qWlBbvEu48PSQYG86U+IhpdsbYrYVaVKpNJ6sjdwoU6ZGleVLdRJ+6ySry+jBeVjXB0GyF5ubShQmpePDHPi1hU9JcXy/kMabspMEHEKtsuBCUv/Fa1zkmHVjb7kq43DG5UGDdpvFDLTWFfJ9V4UUtgAvMiDt6qYLdb0UZ5jSIfAXoJzYtkmFEDAkEBi1i8egCPz13eqZRDnhcA533qrTh46By8deCXxsE7hsy8yO6tPANvOpgT1ouBeeFClt3IeInbR0AIdhW3EfMgDl9Zm6zG9YhBtRtxZW0jS8g8L0f+L9AYBRzxw+ROcRmBZUKUq2cyioS6CmWJ4tJeIvN3cbdRDuZFYkfS/m1mXmLNS2q8yBuTxmMtk95RbOTb+qUaKh0do9tF0taERu57HpF7S3aZx4j1bVnMS2nBLoH4mUtzledJz1scX0nNiwCq3pPGjyHuS+f7ojPsymNhqLxPABgquV3A68p4Uf3FpMFIipdSy5RakVBJ6oyh0mI0giKGzYJnZF6ISdHCvKRlWJgXA3wqlb+4SpUEoOoNbW4j5d007cxLujHj8GBeqCg0QKZX7cwL/fyXrB7CB869L/pDmQza8EElKDx050n4xieOxDxMzPwdMasQ8nRIKzLg0oLdTrVB71guCXYF5qUBOVQ6+t2K4cZ8qRNkGWkAZOaFeC7v8h7BFlic1Dm5TNO8EH37gM8DZ8wFtjkorrS0PUAZ5kV+H4ICT6hWT07NC9U946ysUah0AeYlYVZ5tHih0kAkzIuXGC/SBrmd3YijRGy628hmdMnC3+jzkMHFZ2Je9GijFFSGXbnfmlmSoiC3XyDcRmC+1GfEeapHdRsp/fuf/30o9thyvHTsI/ttrd1X1rykb4d0jTloXpz6rAWvK+PFhXmh3UYpW2JjXiRLUihbNjRStxFAr05MYFLWWWb4rMNIAVs1L3SZDeih0mTIucXRHzFYsmBXZXN8gWGRmReZFehetFG+rtFH5JIAYoPXbLzE1XdS4muCXd/IjqSPLMN4EZiX9L3KBqILGlSotBilRrGDYoZdIc+Lh1DJ89ImEp7JWyMM5TReqHZzWvNvuL/vP7Xvdc2L4V35TZlZTTQvjgsUIgMzoLxBkXnhHBtjJQ7ynkKT7OPm90cZqKs7RsQols28qGH1AARBvtltlDAv3E9yqkjGy9Da5KPEvJj0QAKo8Gsj88Io5oVpLJk41olRlu6C3bLWi8V4EV2ffkNqGxTzYlqcbLJRr2ZkjRulRxrKz0J0G1HtVhe5q3Ork6vXgtdVkjotlIyYTDhnWp8XQ6XVMGEgNQ5aaKCnY8jIiyUxdCFmXsyKfBMi5mWtXn5G/6A2jhTron2GzW0UaN/QzAuleRGfY6hcoxgvnjiopMdT5sVez7KwMhaNPqCzM3kMk/HisXKaF3mzTTXKy2xepAaffeJMNS+i2yit5yI+DhPZSmsZgBhtJB7lyf8p5qVv4LXk81w+STFe5Ggj1XiJmBfBbZRX85JhLMrGi/rc5cH6yMEf4eb0Jp3/p8wL55wcV2z1k2CYuIOQ45be0zGRrcSiV/fTT2iYQ92pVrGW92FTtgqjMeiueZHI21TTFip7osUQmZd4I1hpoTAUbdaoMS+dZ2PL8yJn6vU69zEwLx3DWWyWDY9peYpM2yTEbEYovDPqmZWPNqIEu9G/GvPCaalAonkxbWPAPKwZyl7Yy0nqRLdR9o8k3UY18+IOztUXJDfstbzXGipNCnORGgciDSbZFgbmxbQ6MSGP5kWE6KIR/cu2PC+mEn3CxeMs2E0GdtmVRbmNJOOFCJW23bsoHg+3Tz5bjaKT7wdOvFU61MdszEt2tBHAstX4WoZdM/PiC4aiDWKeF1WAxxhw1OCPsIpnbxPQQIC92Qs4eOmV6aQlZNj1iQFu7LJnks9DaAobM8rGC8J2soNtDM486Xm6uY3SOoRgWMb1PE/i9zHUSUmcEG8J9sVzXKDYheeed3sAk+ZFfnRytFFsWE5c8rB+YXO0fiwpxcK8GDLsXtx+t15l2XoBkBVtlGpeyHFraE1UFJOVcM1kTyNzH1FDpQGzFipua1KGXY85R4Z9snErdmOzJfaDds93gXnp/CsZ0Z5v1LykUZAmY4Nh+doWJJM2w3jJTFKnoHYblYUwoZ7eOkluF+/6HvYZPM+geYl98XQK99g4ELM5Gh+sFm3krnnxBeNFpiPtr1HsVAPCCpXZmBfTpEhsDyDrAyKQbiNB7yMLdgm3kScPKslv6VK00ZxwIgaQajCsRtGojYEpe0qH+ohII0B1G1G0cvqZuudWbDE+498IDKwkjBfze/cVhsoE0m0k1HMRJuAfob6qVyf+JgtwTe+38KFF5wJPX9M5mhovlGB3qG8zAMACvrH0e3woSeo4h6p54ZA1L1ReCg1SkjqG9w19H99rfQIvh5O0U0VmRt0bx+7iS5976jbKrlpUP4PmRbyf4jYyl9UAGj3m74mWsbZjvPSyFpm76tvtT2nHAkF0LeWwIhZm47EaU72IbTOGm8fGC2R2qNGIJzpzi6Y2iDUmqYvzvIj3yNC8qPha4zKpzzaJMSBu9h8c/LalJDNIzUunnYjtkDGz8dKrscJqZKmHFf1D2jG9LiLzko4XLi69gDBexJ2vi+B1ZbzEK6jHw+3x1+BQ+QWN3gQD6LVOhib3SyMxXsTcLqKmQ7doPcZlqt4BTNjvR9ba2qco0dUlTtDyXKpb4xRozYvuNqKJl6hMdW8jEMxLw8S8xLtK5wkxdoC6MrCWyzyoz0cfICJIv5WkgNNyqElxNBvEN5qXArd9S9O8mAS7QGrcZtH/NuYlqaPwbl4KNwcA3Bzsh9XCruxSgr5Fz0f/ZiSpe+bt5+KfwZ742NA3AAAmzQvCtubyDZmX+ew0+Knxz+HhFT4Jvw+OwiroDIXYFtQVtTghar8qfu5McRu5tNOcgl0yoi9GU48WyYLIyprcoCoWbbIvsOORwEH/KUUTUszL432fxVYsEkQb+1fCvCgGpJ/tNqKSZRpX9wbNi/pMbczlasiMZENl9oXyp/MdETTNTJ8RVuZF0RtJEaZ6NmDjk2PRVgrysSzjJX2DbsyL7jaqmZcciB/+St4ZrESatvPZJtj1qXBEpFaumCbf6IQRRYMGatUEkXkR+1iWsFIcfPu5gb1xFJZRWxcEhPFCC3bje3DJEGTCNz9r/TveM3iWNqgkvyUW7GpllkMAT9pLJX7nx/Pv4uFwR/lkxWUBFBfsio/dOsHNvk/L8xJwOlQaSJ9Z1u7AyRvhXJgX5WcsDlofHToTX299Gt9r/z8cMPhrXB8c0LmPbIyK/3IwUri4etI+OKH1VbzEpyS/B9CjjSLNC+GTF56ndafnGIIGRBxIKQGutOpXmRcryyO2oc69XNcnxghFsZE4Mi/NLFef/j7EZ2hykWvwfODjVwDv/h7EPE7SdhMEzMzL6k7tZLOh4eA2osKWTXsbxQs+KUkdkefFNrrM55tK7ZRi5mVSosBYZdHJib+3p9nMDJVOmdVi9/3v5pVpHYQFp+8QqUpthFxrXhzBwZKBPBHgEkp5Wr8RHXu/dz9Zdjy4iYaPuNA0We+c6/krbPB60sFXNA54Bm0nWuGBLxovwkkV5XmJP9GC3dRtpO5tFLNDfwkOw7N8GymrrjrAmO5dBlxZGSRtZJsD8eGhb+MVvpn8O5TnZdK8SMwLEU0iGp5W9qBvHOk2MhsvcflZxktUZihsD6C6L8R39Ro2xqXB4ViLPqzGaLzCJwIwh+MDnVBpX6+oatCYBLuXPfgShlryxMAV9suNeaHdglREitj+1YncmmFX1NV0dDqB495G5sSW9LVWo6jHrHcBaLOiLY1fbhaXvDFjuulsFCptHtuyjE2NeWlkT3SiURm3ZdPqXtR1xfA9zz0nD4DFfBzA03bpU9uDFEhHYbw+PQhAYbw9WbArBkT0qEnqGDMwK+IfWXNKRp4XBQHXo41q5iUH4kE4SWEv/novm3l5m/80WW6c50Vs9sZJQwyhzs28pDS9aBxkMy/pPTYZPz757Nk6lmHAbDBd80KZ8ofsNAnY/tDoj423lcpUQ87F8uJJRXQVSbkY0lkZQHWaF5XWPOpNW+LkQ96An39kT/1kz4f6m83Mi7CRJbmKEutg6Y69Y3XmxcFtlG28dMoS3UbxUeF9mRBP5NIErwh2xfpI91YOJYnDeCgNxEEQaJMpZ7Lg0yl7p5BqQDxfNXze790naxmY/txFfOt9uwp/CQZw3r2NjKHSXXAbEe8jD/OSugzEg2lbyIqkNIabC+WLv67pd/Zjs/R3yqhsGxKhxaWoejp9b6OM/iMxL7oBz4x/OMKik5N+r9J2xDE/dhvFv4QxDxg/FXjjEcBu/0azdBnGi8gou0Ybqe9uqKTm5XUVKh0PgMnARLqN9BeRNfDEHV0O7QP5WXYbhbkEu57kNpJNJXv90k41d6v3Ap3dB7wCPcu043VaCsffv/R2TBzbC3zo98AjFwF7HivdQ2VexM/xr5IEu+uAeVEFZVttPAbHHrlz8remW1KZl47xwv1esGBQuE6ka+1uI+tv6R0HtNZKh+zMi5vbqA9DuKbnTDT+dUBST1VXIP72KeP7MH9FGiYeGwHyZMeVf1OtklRHA/NyWvNvwMDGyfH/aFyLh4d2ks7lkN1GWZNhVAmaeVH3vzmn51z8qn2MsRjxXlM37sO73rpd+qXwm7a9+1Rg3LcQeeSKMy+S2NmQYVdDpttIh/i7XN1G0jDkZUcbxch08zE5hDqJNrKGSovMSwST2yh+pGJpvp9P89JAiEdfWoRDOnNwgxNuo7LMC9Fu4mOjIOz+/YocbSa+v9iokscwBhz3V8uNs5mXuH97Bd1GpnfjitcV85JEViTGi5vbKGvgSbKLCueJk4YkNhSNlzCf8dIQmBdp4MqwfBMrfOr+mL39R9PLJN+WWobNbWQf2Mb2dWziMZsCB38FmDBVugeDvEqRjZfoHHGyk5mXtIzo/GrAlSRK6moiy3gZ1XEbcWXF64luNov/GnBgXgKZ3SF3lVbKzTJejvQfxt7ei9hjzp8FWjl270H6FwD+dvJB0vVxlA852Umh0kQdtcgxAf3LpO9O9q+XL1begRPzIgl2RZeTPojuzl4yFiOebxMrbjrrWuDSD9uNDBEGzYtJsGt1cWS6jezMS6G9jWIRLGm8yHVVo8MCrvY32WxwC5XO7zZSF0Z53EY+C6Xs6qTmRSifV+Q2ig9txRalB7fYR76v8P78xHgxl/mb4/bBxmMEJiSjrqIp4hptpPbRrH3XsvC6Ml5ShiR2PYiTd7bbyFyubrwYSQ2NecnhNhL8vpI95Mq87HgEPGHPJd9QL8BsFFCh0jI4mdNDvAcDlzq9WF6SzdjQMtNdpVnn/GqasBZDZeu8xHcHeM9G9emRIwoYhIEkg3mx6jZ6x2opt9u2PC9JqLR9MBY3k0zdRkodhYFwywmj8NYdNtXqTIXWZgl21WayHTNsSArgQP8Z6W/OPMnX7qR5EZgXsa9S7obxbI25LjsIodVa4kvlRy15seM2cmFe6HNMBpLdbWQ3XigjoJ3DbRRDcohJSeogPRu1PNFQOu1dO+L23sOiPzqTsMfksTgW7Np3lSbcRgbjJW57Yhv0PYbT3hWJ89+9axRVZ+s/PgKZ4SCZF/GvAiyxJcPueCYwse8/RzpHXBzGi9e0f+t95ag9puDI3SanBwwuzBhv8ObjY41/SvWxISCZl3KOn9eX20hhXmTBbgNAi+wcrsyLJFw1NVrxnjzMRR2IjaQpLGVZhpWcNmQ5WZjc6PSVD11WSO7lJJZiToltchvpxovIvMirIzcjK8b3W8dFocYZCFXmRXmm8us0P29v5Vz5b4l5oZ6LsDLLGtyI/UKMDJmj8SI++yTcufOMd548FjPmLteMVfF9SInlYmhJ6kAKdtVB703eLGtdRUR7h+U0XnxTtBFhvMBsvOy3/URgjulbYvxw7eMFtgcwIsN4oa4UBa/O0UYikvDjUIuktIme/+OwNwJv/1OUH2jHI6OimNxye+KFm2OodAwj85LMATLz8sVDd8C7d5uMCaObuOWZhRnGi/ybml0Q7JJjAvUIJu8h/UkxL7mq4Rh9CrgyL768YCAEvHnxumJe4hcaN3LZeIk+/18Q0eIzwynJV1mTShyKZmJeqDwvQOw2yjdIfOmwN+Jjb5mKHTcXVvgZbiNfEIxKIciWjmVjXmwdmoGb270gIhUFZaIynmJepBTeWqi0HU6TGnSfbE9THvQkGt3SsbUNJmHP85KVpC79so3lq1ZLh9oWzYtrnhfqTccrszOO2gWfOmhbvGEzeSKk8qvIBq0irjUyL/Kx37Tfn1FX8WKZdXJi4HKESo+zMC/MFxhQ7Uv9dzrvbWQKlZb6t6PmJcNtRNWzXdptlLoQAyUBpy29AgCgZwyw9yeAMVFUH0OBaCNp8RG7jUyuOPlfIIo2Yoxhx83Hohnnk7Lcr6EwL3S0kfhHRW4jtVbjp2rnSIxQ0jfzrJTd6+oUbQQPIZcXG65jswmvK+ZF1bxID70zcFwcHIFZfAoeC3dIvsoShcZhsradaNMvxLJCGFPZGvBf79pRO+a8gZ5ivMgdS2FeTO4IIlRaO6cU8xJB1ryYmZesX/6Rt2wLPJZxEnQ1fE+jmJis/8ifYdTNp0n1c83zYuvM/IkrMGFghXQsijai4Zphl3yXMS09qolvv3834C8bAYIExSPqTIdK2wW7qs19YXA0Tmlci3GsP6PWHf2AabI3wRfdRuJAqpczwcK8eL6QpVr7Vj8SlE5SJ7K1nPqoI9NtpEM0FmJjNOSMDJuOjQNZsBs9x02wEpNv/zKw6tX0K1Xz4hAqLaLHwW1EJQ9sGbYHiMsXx0OxPVIZoVWc1LhJ+tu3JKmLblrAeKEMg06RVwdvwwf9e4HDvqWd4hPMS1IT0/hs0GZmwXcwXtTFYSBsxFoUrzPmJfXBA4qAqqMFCeHhznAvrEDKbGQNPEmkiSTYTWFiXqKN9iqQnLpSfMwzRvHk2ZjRRilHOVsM9REEu3KodPo5iV4R3VtCEequ0lnYZYuNnc7TjZd00Ntlyjgn87Dd3AjBHh+TjnmiwJmYbCVBn6U7MsVwAeIkdYb35Mi8UEa2VqbCDspuo6jOPeKqk9jbiBrf1HYSwsMj4U76iWTFPacVnwSReREWDWJm2RhqeLR069zMi2O0Uc5Q6SCwvNtMtxFhZMFLnkvcP3PpEjpjyOnNv2LCC1dJX+maF/u7Y2DSSt0t2sjOJolImEmmHxOPZ7ldRdCCXeGPHK6Y9Brzczq99Vms+cz9wB7/rn33Dv9JoV5ytBGleclzX+1Uh9/VVsxXSsCbF68z40XO8yINnhaBUlbz7aPcRtL2ALSRkFewa4Sz8SJHfcgyBLUMusxGJyOKikE/MvYeC99oXrVIeV7oHVCpUGnVL50LGcKzGDa30fWnvBWbbWTbJya+VxNeQ1bQZzIvSh3yoG2LNuoUlcWS2ZiXBPv8v+jfLfaOrpGYl+j59kj7usih0hwm5kWvvfNkyfRcO5kwJKl7hm+Tqxjmi21KfX56nbhrnhcT82LcVZreaw1AIcFuKEzVcZ/MyoIq/S5LX7NtbmmqHql5sbxzyvjPdhsZmBfHPEkiKMGuWH6WNtEV8bNoo4Hm5F0yx3/VcHTJy5LHeHHRvKiawgBeRqbqbLyu3EaqYJfK80LBlXmRM81mu414RhZKdzg2AqvbyK0MnwXwCL76Dwf+A7+77UkswziLBCdmTdQkdVSoNF3POEmds6vMc2viIZfzvIjGS3TP7EGM+014ygAubh2ftbdRXg4udMjzklUqZbxo+8fsfDTwhQeAjbcDQGteekXjhXPgtm8DD13QqYEpVFo/5poyXE1S5wRJ85LefHr4xlzFeOJmhJrtQjEvrpoXg/Ei/iG6jdoW4yVL80IgnmBEdjVXLg7LGJqbeWHyeNrs9EdbuLH8mDNCpZOxSLxn+kfcf+bxzfAGzLfWNUYm81IAUhvf/2Tg4QvQOPgruPVtm4Mxhp5G9ritMy8uN85hvLgwL1wW7Eaal3IP53XDvHCkmQNIzYvnY3QP3fmyjJfYJyz2HdvkmqRBDwaAP+YQKRrgZElHJ8rUqC3Pi8kdYdC8BH4flmFcdE4G86LuKk2GShtWRGmodHqFFY7GiypD7m0qbcFhAuJej9aRswS7xqg0B9hWr6nbKKveZsGuhEm7AJ08Q2ItE7cRE4yXBU8C954NtONkdm6CXQAYcs39wDzN+sl0zRjyvDzHt3a7Z1yMb2tThDvGdX3itDFjijCwbJ7YOy7rZnp50Hf/zmTCxH5hYV4048WQ+VasnfiOtP5IVYVYPIp9pJ9HRucdwV6k5sUnFkyntz6L+U239uFnMC9FNC/SNe/5EfD1BcBmO+CNm4/FDpPcNnrU3Pwu9cihJ1MXbBTUUOmgM5OUwevGeAHSFX5ML0oNy/Nxx2mHkNe5pqAXzxvqS3NhqCxMfN6U2dcAa15zKtuGPIJds+ZFLsO2t1FWGKVZ80KHYtKh0uJAVMZt5Mi8KF2hR4tucFg9+01tpZW1MaP8DhwqKsC6PUAJwW4WoyFpXjjBvAwsl843u430sgcNAkv9YuK3Z60ADRl222jgX4dd4HZfAMzWpog6cM4djEgYJ3+JlheZFyV0XsIEPQJFqhNRzwBetEeOgFwp3C0Tnu42ymJeZA2aS5I68Z3uMjky3kQm7+FwJ7x54Lc4sfXfQpI6oY7C59j4X4BN8bstvmetawyKeZHXJvmZBq0v+vkTu2nMi7EexQS7RdxG7Vrz4g5xEolFaZIPkvmYPL4PbySsWVfjJQTD0IcuBnZ+L/618xekEqjy/LY5oiEXcggXTYyGCtNXjYxQacDWR2M2IMx0G4krQPHnNRT/Q6ZPWhmM1UyeMTTjRQmVdkrW4evMiycZL/q9Jc9dTuvFuj2Ao2CX/D7LeBEeVTvRvAgDNzGpkkETDpqXU4b+g64E84BN36AepM+NYdC8AMDaLd9uv1a8i6RrUp8f7TZy0k4YJ3/6d1ndRhPy6XiAeFEn3yvXzr+WcUhd8Hzybeq7k6EyL/FigjK6Yojnx6kk1L2NFmM8ODwhSR29mBM/Txzn5oKjN/gUUNH2AHnhOxsv4o3zGC8ObiOFeQkrCJXuqvGydOlSHHfccRg3bhwmTJiAE088EatXr7Zec8ghh4AxJv33+c9/vpL6aEnqFLcRQLMG7vvnMPBd3g8ceyl47/j0qHJ5MlE6pA1/MIz21xmYtJflrhUwLwrsu0rbJ0RjqLTgyhDDL6m9jeTLqmNeTNa++o6LhEqzRo/ufctwG7l0fBNsnT8uN2t3YOru6upb+57JgxAA9IobUyrGCwdzFuyqbqO7wj3JOnDmgx1wMi5oH4WPDX09OihsvEjCS8tW24HvV0STG6KN3IwXk9tI/EtgXkKL22j8Vtn3UxCCafU3a0Z0V7k1eaOS2PLkQ3c2nNkpisl9Mt0/x23M8pM8Lw3y+/iTSfMiHre7CVP8dLPv208o5DYqb7xokXMuRea4b8K8fOEB4B2nk+eE8PC2N6aZqdt8mLuNjjvuODz99NO49dZbccMNN+Duu+/GZz/72czrTjrpJMyfPz/578c//nEl9dH3NtIFu9Q7cxVShoJvXyQIVu7YCWWbtFtSk6hgczhmjL8F78D7B7+HeR+40nJWHuMl/dM6b1o0L+Iq6hutEwAg2UE3KtdUcOfZKDlB5F2l7RE5aag0cY83vJO4pTzRmN6larz09hRxG/Vo9fKY3W1UhlZ22ZgxU7BL5vCw31d8vzHz0itqXoSNKeMakIJd4j7qSt+48mce0OjFD9qfwLSw068aesizBGESairGqdUVpJWTGkE6IUcYL6Ej82IKlTa6jSzMS4Z7wRQqrRsv3RHs+hlJ5yKFoujTyWe8xMa7aLz0I20faTQRzUTLBnp2v/x669N4sW836zm5BebRRfmvURA/+7QNVsy8xHWctAvwzq9LDGeM3bbaFF96V5oGYVgnqXv22Wdx88034+GHH8ab3/xmAMCvfvUrHHXUUfjpT3+KLbbYwnjt6NGjMXnyZOP3RcDBdM2L5PCMHgXVwPJoXpJOIZTTv807O9Ea20bnMeZsEQXcwxP8DWCW6IHCgt0C/ULMsPvvg2fiEa6voMyh0tFzb1qMl2zmJY42IvDObwIz71AqoxovHkAkVFONpl51cHVwGzFiwojy3oRkXQBltZd5BxkBzBE37oJdChluI+HreGCXNC9tmRGIoo0cmRdFY2ESJZPsUA7mZVRPE7Gna/ctx2GXLSbYr5XKyce8tMLsxI7RtQ7RRmJfsWlesm+mHYnepRvzktSBSFJHQdPJZRiLGvMStx9Htjh+kmL7WYO0faSCXaGOhnHLJXuzqZ3ygonfhIsKXCNDTSBpNKKkiJMceV7U9060yy03GQP0pP1vWOd5mTZtGiZMmJAYLgBw+OGHw/M8PPjgg9ZrL730Umy22WbYfffdccYZZ2Dt2rXGcwcHB7Fy5UrpPxNUt5G0lbdlUqSMlz+3D8Mnh76qnRe3f9F1whg60RqjOvfv3NchTDqJTLJa4K6h0szo1yVOJo82hI0ZxcbnFA0as1LKQKZqXtQxhNoegKwlNXi25LZjWkVpxksB5oU19BVHtH60hUqLd8g3ULV5+TwvFLKMYYp5kTUvKvPCSFciZeSqbiMxcZpSSf1YM8N4EYzLXimPz9vgU9SQAXaWRq/rqoF2abdR8gyyBLtTDwA+e6fDvSj3lqfVwTn6C7AyL5qr2YHp4pTxYmVehOKZzrys5qLxwqTzbCWHDt0yYkGpha+AQhl2q2BeAuCWbyaLxqo1LzrIJahUZhWh0l1jXhYsWIBJkyZJxxqNBjbZZBMsWGDePfbjH/84ttlmG2yxxRZ44okn8NWvfhXPP/88rr76avL8s846C9/5znec6hSvgJMJjNgegNKcqZPKK3wzfKN9orwleafcuGGYN0AUynMwXriD8ZKHeZE1L26XifAZTyz5vJNtPDyoG5jJxgzTnpfkNrL7uvRDSmZak/GidiRN8+Iy9xDGiyzYtUfcMOZ2nxgugt08SbaEmti/lZgXXfMStgYlU5CD7le02yh97kFHQBqC6UZYIeYlHe5G9TaBDluUm86XJl6lXkRZewzOQF/DgSUxTBgeM7xFyng5/NtJMsG8oDQv1wUH4QDvWbwcTjJcJcCapE59TtnbA1DGi02wS+XZEt1ea0XmRbhPek8D85IR1g1EGo7MVlRob6Py/EIDIXD/OWKp2Rc5JveMinM0hiTjxYdfaGxKkdt4+drXvob//d//tZ7z7LPPFq6QqInZY489MGXKFBx22GGYOXMm3vAGXaF+xhln4NRTT03+XrlyJaZOpcMEVcZA3pixo3khXqw6SccdY1ChuCmfa3Q+XR5z0Lykm0jazirqNrJcZ/kqNl6SHB8Nx/V9534qjRnrLpIoMOUyaVdp3/I8qI4+cRflFI80EDg8iJmDG5pIz8VtRDMv1jwv0q/NN4naQqVjI7UI88IzJhaSeRFFgQTzUkSwG2fvJQ1Ooo4sU/OSlt3XkxovecFy5nm5pPkDt4JddpXOchsRbZCGXs9I8yK/p2nhrnjX4I8xj29GluLqFtH2vsqIkFQ1L8wh7wi1mBL3NlrNR6W3J9z7pvEwVHVA3NdEsLaEkTGKaV7KGy/artKVMy+OxpCYYgEexsMevJOF3MbLaaedhk996lPWc7bffntMnjwZr70m5zBpt9tYunRpLj3L/vvvDwB48cUXSeOlt7cXvb0Zg1YH6vYAcrRRrHlJD13x2QNwyQMvY9cV44GF6fHEeIHZeJHdRvLLDVgD4ACzpfeOz42ZFwvjUJh5yctidBAzJ4newSHLY3x/QN2BOH0viZxMvbXwd1NLUieeRxzcYi9gp6OA56NN1Eb39ACD+sZ/ATxpp+tCqyRi4sjDvOSFjXmJ29wansFGWK41gdqYUbqeSJ5Gh0rrx0TjJe6nIaVTIpmXUfox6RrReClOOjOhHM1fWkZgaWpzCQvBs91GjnlAqImeCpXmYHiBO0Yu5dG8ZBXFFKOVokoUUNFEWZoXqY6Gx6+6LVtoaLo901YdUvNYb6HSyvYAFQt2izEvHjZmqfEyO9wc23oLqSuNyN2DJ06ciIkTJ2aed+CBB2L58uV49NFHse+++wIA7rjjDoRhmBgkLpgxYwYAYMqUKXmrKoGDCJWWOMOYeUmx//abYv/tN8XcC+XHFJ+jGS9CIzclPwKAFouu82yhjkm9O26oAvoU6jwp2siyKre5hGLjJXZp9TUdKNPO/cXr03ooRqXGdAlGoad+l7HyYz6ww+GJ8WLqaNrqXi3LMc+LdntJ80IxCIz66ITAMGCK+Gn7I9h/o4XYli0A+pc5lZtVJpWkTr5ey5nvzrwIK+WAxcwL5XOijJeMRUzPmOTjcftvg3tmPYl9tp5gv4ZCTsGuiiHuy0xVcq15Y8a0PwrPllr8FEhiFiNQdAmA3i+Wbn0kNln0EG4eeAtRUfNzUft8FtQkdWm93IyX+KMYrZZlvBgzGWsiZv13msXz6ftaX9FGOutlKrOguNg1Y6/C2G7MViV/v2/oB/hV81fYBzOcb9s1we4uu+yCI488EieddBIeeugh3HfffTjllFNw7LHHJpFG8+bNw84774yHHnoIADBz5kx873vfw6OPPorZs2fj//7v/3D88cfjHe94B970pjeVqg9DOqjGjVFqgrHbiBJdKYOVmXkRijNkiAWAdsd4eXx2dnbdVLBrOcm1odm2B1BPtRQTizPjuu251QRHt1H0jy7YVXJGKDcX94bRk9SZ/4oOKVS44Vnpxovyt8seVAbjxbe4jeRXkG+gasPPvGQRJuDn2/wW2PdTzuVm7dZM7W1kAwdtfJdxG5FagCzNy4SpwEH/ARz8VRzxpqm46T/fjstOOsB+DYUMsWlWaC2VzCwq17yJoLPmxdVtRFQxJESn6iJm5qG/Af77BawCEf1YIfPCoDIv2cbLpw7aLvk8ri+qi8S8EIJdESa3UcCyw/dtm6Qm2OFdWWdoKGTwKFCZbrddpfPc14V5kQ3jEB42Rmq8rMJoPOS6o3wHXc3zcumll2LnnXfGYYcdhqOOOgpve9vbcP755yfft1otPP/880k0UU9PD2677Ta8+93vxs4774zTTjsNH/rQh3D99ddXUp90kowNAt3S/P4xu6Ov6eFr70lDgEOPXtF9/ahdpZWi2NmofTJitDsDtMtqJNW8WAwN14aWI9rIJozr6+T0CMFw/IHb4Ecf2sPx/nGotPy704RXHUZMuSwQkvklexuZDBUVnicPqqbVlcogFBk0iFVvltuoDC0cwnO6PuTcKbrDtU7UrtI2cM7g+3qZlEEjrmplt5FSxyLMCwC8+/vAof8Dxhh23WIc+hz2zNHvnTVsZhkvhntaBLsxeGxETzsXb592on6yM/Oi1zEkNC9ccZl4HpPy5chFmp/Ljt4rjvXqFMVUwyn6LB5b/YE/AO//VfL3qe9OJ78ej+Hhrx+Ov33h4OTYGqRuReoNmdZyahunwsdtLtwE7/gKcOg3Mk5SUT3z4jS0ddlt1OYeHuokYF3Eo60c8oZOd3VX6U022QSXXXaZ8fttt91WEnxNnToVd911VyX3/vzQf+Ky3l9Jx1L3RDwBCsZLZ3DffcvxeOrbR0grfK4MCPF1R71pCpr3jQIGIwtSEuxa3AEx89LjIBhMNyo0n+NuvHhWo0o5ObO4vp4mvvuB3QE4hkp3ylQ7U7oqi9158lWBxLxEX/7b3lviyXkrlOINdZaSEZqYF09bZcoo7jZKBbtUnhf6swva8J2u4YZ7G5ExOUtuIyfmhQ6Vpl6FpHlhZuaF/D3NDM1LRRD3cqFaRVZLGbQl3qMOIx0HLrh7Fv76wkzctvJ/6DIcmReqrVPRRup56oJHDgU2t7EfNC9yqldSlIvbqGcMMLiGOCfCxLG9QCttE2KoNLVwM+V5aSvMS4s3tOExgI8G8Uyl+zT7gH0/CfwzIxOvXID7uQaogl0nqEas17BoNB3q6Pka8/Kj9scwm0/G34O3dI7l+61dNV7WJzba5d2Y0RzAXi+lG66pmhep6wkrOdU1wT3VeIngMwbW6DMYL8L5SkdJjZccgl0r85Ijz4tQMWIxnAu27elN9wcgC2NBaJGURhxKzEt0z08etC0WrR4E7hPLN9THyzZeAjBYw4qdNC8082LL81LGbeTa2Xlu5iXLeEk/u7qN6FBpvf6DpGCXMHyodP4uzEsFkAxOol1kpRCg3Ua64SDfL/ru4vtewqvYDDB5yMpGG6l9L8N4kb+slsinjBcujasObKnQJ9cW1rz4iE1IgGZe2vDRR1y+51YT8I4dJ2KrjUdJv4NCwFmyrUFWnfJAHW+NAR7bvQOYcWnnJCW5p9c0Gy9FmBf4WI3RuDA4OjmWl3npqttofeKnH9kLe201XjqmbQ8QitEl5lVD6MkDQlyOxyD52aVoI0uodGy8vNV/2vobAFfjJQfz4hoq7TAxir+XO6leovP17QHiaCMD8yIYL/Fz9T2Gg96wqd3gSG6bbbxkZ9F0Z16+5H89vV2W2ygn9SJGPjjllkDH7sozsWTUI6/mBXDfVVoS7CaaF4MQW4XfXePlvPZ78dXWSQ6uugzjhcobYtGLiGb1nb3/hUO8GebCXY1UooqcEOxmMi9SNE1+F5wNsuYl/iyMOVp/EuvWqZhgzK2GnXmxkhxCOaTbyJAw0vMY/vTpt+CH/xa71s03Ccu6lT9zO3lYD5U29Nk9PgJ8+I/Al5/U24HVKM5vvFDjRm28GKFvD2BiXlSobqP4OsaY1KhNbiO1o6g0pA1pWLf5nDzGi5SXr2CelxguabPV+wNAIytUWrksNLAeWsc2hppS9DOkgT6TxcgRbfSAvw+uCt7WqSPHKHTynlAZeMWqZd9BGjht2wOIyK15yQyVFgwoB80LY3rWZLWcGOLvs2teKMFud42XX7Q/hCuCQ5WsyDqymBdyvyZrB0/L7GEBLu6x7PXm7DbSsftWm2jvXu0X1qaRJ7GZA0jmRWO3DREycX8VDKoBnrYP6meYfhrnXGJwaMGu42+3PEBSP5aHednqzcCbPqodVpkXY5meB+x2DDBha7092tqVc7SRaLzovzWv22gDN16EMDUI7onO6tU1wRJXVnTxI/YYpJfqLNhlrtRuWlc7S+KICvY2EiGKevNsD6Ai1rykyQPl8wLD7tt6PhhTpzQwL4rhWV7z0gmBZwxxK/EQYiJbEX2/0ebaJXmT1A1JxotDhAM67ybPqjhHnheX1VJvs0EaRFl5XgKL5oUU7HZZ82ISlGvIOIGc6CzjT66u7yzY1e937Fu2IephN15cNS9FkBVtpBmw1IMStoxYKURIkdFGtgFReK4U8+KSpC4LzsJ0G4h2pDMv+ctRpRO5C9SYl+iaf3z5HRjbGz3P2ngxgRGaFzH81RZ5o2leonJ8j0kr2rxuIxe4hEq7dxqm77lkALmfjFZc3sGKLlMNlVbP6lVT9RuLNzEvhmgjYUCS8rFQyMG8eIxJ2YL33ngg+p4wXqT36vDIxWictuOAyYGczIv9e3GQP3SX7PxLvYaIHsogH3DUvBTK81ISqVuTcE8Q55ngvErvwFPFqyYwvxz74cXaDuGQsmo3LSTS61McPeiYWdgIvXPIw5K2etGL6BmDF977N3xw8NsYRLpYodq4aYEY9R/BeOEU8+IW+WcDvRDIW6Z+vppQzy1UOgfz4iTYlY2XmLXfafJYnPj27QAMs2ij9Q5lwmHKCt8pdwfMxkvkNhKNlxS2SUnNG2BDmBgvtgaSx20kGlUWg82huPxuI5PxIkcbqdXaf/tN0NPwsNPksXJxgGJw5GVeRBq53D4bUXlRBxfDPDcf14PxQSc5HMW8WAdjHW3FreIyYEaCXfdJLatMsc7v2GkyMMteXo/BeKEikPoFat+meSHTxW99kL0iJWHSZOmwn0AlObMZxwxu/dFdrAuD38TTflwPa0k3H2hZxkzFQF5rVBW7IZTVufGH9JDnyc+NecB+JwGPXw4c8IXk8OCUt2A6lxOCuroxgc4tJM2LKUmd+be4IGS+9qJzl0kGBRQQAavnWN1GrsxLep64IInTX9SaFwm02yilf90mLFWsJLmNJOYlfZx2zUsOt5HDgOncwJVQaRucjBfRbeR4fwp6tJFyGYBzPrY3vnjoDvoXDuUbk9QJ79UDL+826uzp4zGW/JYetIE1nQ08SebFzNBRkJmX7CR1QCzYzWG8ZDEvwgm+dZ+fCCbmjLpPv7g6Vty80rVUtNE2BwIHf1U/XhFEZvDZMNo/7aGxeuKxLJaEcjuQ2XLj+7HsMgHkM16o8pQsqADwCpezqQ+05FW85Hoft6X0nbr3W4ynD7nQqYZZmheNQWAMOPqnwFdnA+PTulBGCWWgm4ZGDi4tUk3RRk7jsMW1SRvp1SwQ5VMcjQ0Buu5TOln+89i/GMoT5wvRS2FhWC3YwI2XFJtgBY5t3AkgfUihq9tDM17iaCPVbSRcUrHbqMe08QZRvvlEr1K3UZiT/ja6jZhiVDpaY7pg13Cd9J5pt1GmceLiNlqzGACkfVk25iuispkHjKE3t0urlv27W1zRvDg8qpDzXC6+bONF+NxwMF6a9DnUex5Ayrw0kj20iLZvGkx3ODyzPkUhts8PDX0HHxj8Lh4Yo98vq6W0CbcDLJu0OrsjHAxJsVT9kEztf2LoDI1d3WHSRuYiN5UXF2oGcgB4MNwZy7Y81KmGmRl2NWuj87fyHFwD7dyZF0rzwtzeU3MU8KmbgF2P0csg+2hO6sXJMHEoR13s5GFedj5KZ0EVwS7FvLhGLiZVzHX2SINhwokf3IKN9wO2eRvwls+S5yXnG9xGqvEiDrJiQ9byvNjET1pdaRGrVB/naCO5I9s7m0sIcnq90+aMpjwWWRszusKY58WNebEzcTmMFy9yaAHApnxp9N2YiST7kVeI3Soi2AUqdRvJzEt2uX1N92FGFCQ3eJTEkdz80ajhKcndWyAyg2vRh8f5DqBtfHsdfifktnBBN5gXsjxPXh2rK+G/f+nt2GKCRRS98bbSn+QkT+yF5VTHTpvjlnHVGBBAHA+IuWHSOFozpWleiEWbKwsKANj2rcD2B2uHqbxZzpvuphdkn1JA88JszAv13FVDWjGMqeCWlXwM8mDDNl4MiAfD0GsAJ9wIHPUT+wUNQ7SRByPzIr5Ptf0FxIrEBBc/YB7mRXZTmCdkl8FS7Gz/78BtsPPksfjy4W+0VYA8qkUbdY6/bYeIqTjqTbQolDG1RAfmRQqVTo9n/loX5mW3Y6JiBbfRxlgZfTd6U7pqOcemCRulERPuodIA2oP5bmSBeE/mYIibmBdD6cmnZsd4odqicTCtIirPgDTbtf0etq01PjV0Ou4M98ahgz/D8x9/wOm+kfHigBKbMkY3knUJ6nPfZco4+/WNHsk1SjEvQQ7jksywK9kzDtFGoBd3YvqF3xy3D045dAccvCO94XDEvNhDpZfycfnMZsL4bjao99cF48XFINIEuzYxPGUIK79PybArMnrNTrbU+8LdMETlQDJgwxbsGrp8/OBCm3JePF8boE1uI9olo65kgxzMS14qzYqK3UZcWIGM62vi5i+/I/P+FLRoo07FLjnxLRhsh8b9Z7Qa5s2wKxg1b5g4GgsW95tqDuv0sfN7gYNPByZHm4d6wkq5N9492DCx2LaRoBAKq2tTYiwVnHOglf62H7Q+ju17luNj/Cby/DxuIzfmpVgETOo20ivkrQfmJSlbuAVt05rr8K9wKwDAS3wK/AlbOd41ZfKAaF8YNVcSgJyCXcptpE4wBZ7ljkcA0/+EJ8LtSOMlEpk7jrtZmhfG4GLWUTo/8b0dtccUHLWHLWpOzvNCRRutwuh82XCJ9lsJ81JV+1frQuSoSs91MF4U5kV8/hPHRsLu1RiNB8NdAExzquKGzbxkuI2cYRgUdLcRk7+LodyuiGDXhjyCXTHayDapuGTMta0w6fvTh9/vT5O+jqvIGLPWURu8jJoXg9tIOH/HSfkoSwm9Y4EpeyblicxLMzZeDJqTvI9w6UaprsBV8wJAMl4uCN6Lx7Gz8dSsIiUxejPbEO/LxbyksGleSMEuYK78p/9RqA7kLYR7UOsfu/MxvbjHwfCL7yeWaQy1Lus2UkSVTgsY9ce+5yf4z01/hw8OfQdlJ1J67NNdSVmg5n9T4ksKqual2UOzELl+LTEe0NutFEsEaj2lgGDXzupRxotyPmOK2yj9PHWT1BV5WfDO7LrFt3A+c0TCbry4Nl9rtJHk2zMwL6rbKIdg181t5Gy9AAAu+tSb8ctj98KYHovx4jBw5VbCZ9RzMxa5WDbqdZvstD7olOfFYMhUESodF8tY8t6a8QrZoDmRB5LsZ/7qpm9NPveyltO7DzkHWmulY4FVQ2UvT2ZeXAS7BZkXXkCwSz2P/T4DbH1AoTpk34FqN+YHKE7IvY5aILU0IxubI5cPWUWN2i9gfDT7sKBnG8P+TXreGBtMebWTT44idMrN50K6x+38bW/cTHq2H3zztnTN8jwucjwg3KO5F4gubSq/8cJshjHVF9Xfp7F6KaZukrrC7wn3zK5bBxu424hGPBi6Gt+mXaWZhXkRJxX1PlbB7v+7FljyInDTfwNwcxvlYV4A4J07d/zSlsWoy6PJ7dJyrOjYvpK+exWS24iRx5ljzh+n2wm3aMabbxomFsl0cXg8a8ZshUV8HCaylXgx3MItSR2HxLwAwB5bjgfmmq6wFyoOqJ7SlgfQgz7IOTX8ghv2Wd1GZfUdJZCteTH/Xpl5cTRelCR1RqMiB/NClmDJxbG1MMGIoBjahsXV4YE773Es/059wckYcxrEqcy5LpKBaWcchmdeXYlDdpoIPCGE8BtcKLnMDHI8MLFhOdClUGlr2+ohItAy3EZi2xrX18T4UU2s6G9l10vAhm28GBo2JzqCFYaNGaPvaM2L1F/UG9ka5LZvU7YcqFbz4gq3dP/VU5oAMLbPkXlxLd+BeSlHcMtXewLz0oDdbeTlZF48z8ehgz/HOKzFImzsVLuQc2Dno4EHf4tXeCSCnjjOHDWSL8+L/LtWY7RuvBQU0aZCbmJFamIZuijYpW5B9RMbYyEZLy4RepA1VNbyq3AbEczLbae+wx5lpFbDZrwwjrbropGso8i8uL1rqv25uI02H9eHzcd1Eu2JxrLynG8N9slVHwAGzcu6YV6KJKkzGWwAgF5X40Vsw3I9t95kNJ6ctyK7XgI2bOPFgHgwdArvBYg8LwKElaeUYdcTX5TcUTzbKp95EiMQOIQW5mVeXODCQ+TWvDiaCHncRpIhaaqPvBul8Fk0XkowL8p9PUGjkOwrYmAfZNvFzXhZjdFYDXolbMR2b8dd77wGX7xpSedWxfMGiXNTo+FFhlknT8lr2BSbYblcXslNtGjNy/oQ7MZ3EHUh+iRoyx9VxHiJmBexDANysFGkW9iQSGyHSWP1cy2wMS9lM1lLgl1HRq+s5gWA0Xh5iL0J/936fFSfPOWRxovebrpivBToI+bUBAB6iPaRabzImDA6P5O6gWteaITwcMD2m+Df93VT+5uS1AGQDA1xkN1so168901T8L49t8CE0fL1no04ZZ60Ss8tLrYhR0dw3kulC/d3dxsp5eXNsFvZRnLKKkVgXnyexbzku5OnTNrObiMAqyfskhg9JuPlK63PZg6YEvPiMakPvIZN9PMtk8zuW2aE38LkNsrDvFRr0EjMC/G9bdsMPTlX/rpVwbyEZLSR2W1krAvxAGxuQh+hs/lCGzr5mErA4DbKa0OJ7lHBkLmo9xNYgY3yVKdTnpvbKLfx4nTvAmVajRci2IHK8yJAXZAU+Z0btvFisK7fvuMkXP7ZA91DOK3GC53nBQB+/fF98KuP7a0XZ1vlE6rsOA7efInl+812FE7M4zbK7t35U1dX7DbS/UaGEx3cRnlXYhaIGXa9Tq4Ss+aFkZ+NZSsTg9veRtG/osTC1GauDA7JLE+81Fd0XwuZns/GNpl98+hdAQDv3HmS8RyKefHInBjAumBesmAzXjTNhqPItnK3EdXcPXl7AJcFzO5bjteO2ZgX69jnAKnaJdxGLuObXEgP+bkhuE1zMRpEnyBDpdeX20i9xibMd3EbKQJe9elnTHEkNmzjxWTj53x5vGFzG9F7G9mQSZ0KDTtA9n5Ezt/m+N1uIdrdcRuNczRe9OJz5nmRBpAqBbvpitqLmRdjtJHpDxqqxsSJeREF5kkly7iNFOZFMA4X5mRe9t9+U9z9lUPxy2P3Mp5DZthdR0nqVnLdPSf+flLz4ijYBeDs6nFyt1CTSB6oodKWlnDbqe/Ab4/bB2/dQd/ywrfMRAwhRhWMPotLoD+bUTTaSILBbdRsiBqcHOU5Gq3dWCAWYnOszAvR7rY/RLmpnXlx3XNPqlLuKzYI5Os83FNXNELLFxq1qzGfHS4oDyCNDN+utS0aNB4AgKZZN0F17sva70wEn0o13VCx20gj3Y15XlwEuyWYF9V7JTAvLGzpdZDOzX4m4uSt5jdxeaLxu5QSFFquzKqS+H3Dl91GCzlhvGQUuPWmo63vnGIAzNFG1RovVCp4Oc8LpXlxcxsB0PNhGNCDdONGIyPS665NocWw5iyoKnaYNBbvMSR2szEvm45uYr9tN3aq4xoIIuFR0TVcG89coo30Y+U0L+lncWwuq3khDY+uMC8Fpn3bNdTCbJf3yxs0Kr9jyoTR+NvnD0yLqN1GCkwNNOeDUpXWL3Jh91ThxbnmRVjWtGVzlBHCiyYIW/1s95UanXLeQacAU/cH3vNjp7pwMEnol7/BuRovrqsStTxD+cYMu6rbqOjEJ1/X3wrSbMHxbsEmwa6xlA4+djmW+mnact9TNS8ubiOuV8Gy11GuvY0Uzct8gnkpsqoSQSVLy6V5KcHGUAnhGICdJ0eGwof20XVzdgZWZV7c2noP0jBS47RLrYANoBMD20WVrrC976kTep1X/i00cMDAr3B4eC7Q7IsrmZ7gnKROPy/IS72IbqPeVKfVzLUZplgpynihfk9e48WBMc9XYoQ8OYTieux8lPC33I+O3H0LvHnbdKyomRcNJuMl588WGu4rfDN8rvVf6XeGPC82zJhwGG4L9nY6N4BnXckAOcZm9Xf3jQdOvAXY/3PaqabMoZLP3vG2xvsbkId5cSrfxD5JHUr9dcWxeqCd0qLB/2/vzMOjqNL9/63upJM0IQshKySEsAQwLDEoBnAIiBBENtkEHYzgxqLsCspFZVzG6ziKOu5I1DuKGziKI4yDJHp/IgLXjMgSQMmEAUIUMDEsWbrr90foTlV3VXctp3p9P8+TJ93VVafeU1Wn6q13O55jXkwedEsAQO4Y2ARyml1qg3g6B3ePaK3G+8DY3q37EqWZym+n5lkfYTKJ+naGd4+B8OQ2kuIrWx4A4CTXWo9IXZ0X1pYX9/PGcRw+nDsYf5s/BBMGZLj97sltpNnywrUF+cvGjei1vLgUqRuU0xEv3nS54jYdeLxfqbR41CAJpzjhnEPq3UbepgdQhHD8CmaHF86qrrdInaTSa4TlRcvLBIt5s0TfxTJIBVV7I8SVFxlU3kyF/vWlTXPxH14QXCi4+SjODOLMeLJluqJV7eAYxryoCNiVaLV13mWNPl4VG+SmafTdK3IbSR8PXW6jDl1FXxsaWwQzEPPuMghFU3Aztgve/tVkGy0dlYvKR4pR0KX1DUc8ZYX2uANhsKOZE8e81PPu9UDUFqlb1Dwf+N29WNbuEQAyqdIRctMDsFVepEoVcADaRUWgf2aCpBXBiJgXIZGXshWbeTOub3yk7Yco75lbAkHcEcRqAcCD4/vKuoY84fF880pL1AnlEmwuWm5SpIVIXRLq3UYCy4s1Ccj/PdBjFE7FtE3XoS5g1yjLi5JUaQ2P/fbqrwMRbhV3xf3SUgsqtJUX2SJ1KpUXwQVhcp0QTXARNkJZtD/HeZifxAU7TF5jXjzvTCZN2Nt+JY6dm/KiPuhF9K3Z4v6W/uqsgYrrSrjXeVEQsCuUQVRhV4PyMutj4Kp5wFXzRYsbGlvgdtNRELArdzSFdUPcso28DPoowUNebHnRHvMiPFJmMyd6INVL1J9R+1Z1GvHAiAdwyuSwvLifV7OsxUK78jKnaSmq7Kl4qWWcc5mk28jr8ZEf2+6WF/VuB4cL6Sza4zyi235QEbAr7TYyu9wvtB1Lz5YX9YHxwtbEkzUqtLxoLFInQnierEnAhOeBm94XTX2hP2CXhctTgdtIi+UlqZvz4067/LxoHnbq8Tu5jZSi8q1TeP0ctGeKlwkeSlKzqEq2B07SHC2Fkmwj1+v1QrLM/BA667zwcJkCQaflxRaV4LbKtX1SlTfnJqMSy4ucMqch5iVnGFD8uMAf38rFZrt7nIaSgF2ZA2oXuY2015UU1+rzkG3k5cQKXYoRJg5IbLM8NfDuk9ZpnR7AYeGRdBvJpUrrsLxssxegqOlp7La3lReQVl68HB81lhcNyotjRukWmMSZWLoDdsUxL6rd65fweL/SoryIU/JkPsvDJNtIODeYta0cgLDQoKpLT+p+IFd7Rw0az5lXOrQpL39pmYDD9k4eVpbATS4XtxFZXlxhFLDLAf0uvopBF5/HWbiYZkWWF2XKi8kEtPAeFChRoSgFMS/CCyE+C0dHlQp/FHxWU+dFYpmb20itSVO8vl1CeVHbnLIKu3LKi6AvvB0sJ2d0f0gpKFInI76da7vGhKnSag+/YsuLl3ZEbiMTB2QMEPzGoSpBPAmi2pgXZ1uX/kumSquq86LuQAmVpYsKralCpCqlOn9j4DZyYOPNOpQXCUyulhdt54255YWT+aI0YFcy5kXlWG+sb/sc0aagi6u063UbSR1vA9xGSm8cEQIXcFybspLOncEZqKu67KasuVle1DUHhLzyIoPKQWniONSjnaiGhfP0C24+jbzSGx0nmYIphaKYF8HPzZfPxnXrDoj21fZRjdvIfZnrjVe9ruyivEQnqG7Bc/Nylhe5QF5BpliscouPEtzdA95jXuTccEI3p0lUFEsdoutIhyvS7hrzcuUdAIBv7bngAWzs/QwOCd7M9GYbSVkJIiJUZBupRHjuyuwDsMfeA9Xdb1a8vdK5jQBosrw4aIEJdmFMjlSZdjW41HnR6oLzVOfFH24jKVRnGzX+JrlY6JbVG7DLxG2kYHXFqdLt09o+C+4XlfZMLG++Ez/GDgR+v0mhXK6WaJeYF3IbuSCbKq025sV9mfMtVoPlxWvMS7QwFkRdwG7V2QsuP2pTXuSGNsuAXf5S7QbDcXMPCZbPeBfodT2aiv4LeuIlXHFTXnRMDyAMAI0wC7Mb1MlrEt33PbmNvMgjLDBt4oCkbjh12//hlqb7wPM8zl6w4YzAQqnVbeQ4VZIVdo3MNhKcq0Y+ApObHsbhgtWKN/eV5aUFEYzdRmZosWy4wt7yos9tJIVqt9HFesnFIreRmvYklFa7igrJsiiyvChsyyVId1zky5jR9AAq+O6o5lNR2n0t0G2EsrbcAnbFcpLbyA02yovUgdUX8yKdgomJL7X+T8wGRj+GpU2tE355rfPisfiYtgEuPWeL2G2kt84Lr9Pyonj3woHDuygvucXAjX8FJ0h/ZIOyN2zxs0LG8iJYbjJrvFlCjdvIS0yHlFWufSdcQDSabTze+ubfopgfpQG7FhfbcZvbyH17swExL04EypbD6qXmzVBVqrSOB1YLTGLFTkXArqQK4RbzotHy4klZteu0vLi5kLS5elW7jVKkg1SF16yugN0+E3AmUSJW0YhUaaVtCS0vAH4xJWOH/TJ18jh36jnmhSwvrrCyvHj6UZD1oNQ/znEyysuAGW2fC+fjQ/vvAKh8c/VknlPlNpLwE7skFC8d1dNtHc+yuezfQ4VfRc0pzXdyq+dyCYFSY9JxI5RCsdtIUVGptnUizMrcjVKIlRftlhepTA3Xe49dpOQqu+7evfMq9O8cj/cvVd50PGCksgPNaiwWOpRsR0/VZPwpsbxMdUwKO/bPrZbWa/+gUkbABjMiBZV31RWpkzInu7iNDIl5UZ8qLT59+uUDNFheht0HDF0C3PmVaHGUyPKiMeYlcxAw7U3lriSPKLifKB0PLsqL68uqqmGV1s9FCP2WF+0O12BGpZYndbKdy4RuI155tpHSVGnAy80ALperm6walReJZa3ZRm1tFOXKT6YniaufU8eDWKI5DyvKxbxofGvyQlI7C/iLrkqktAxKjODCN3mzWWNRLCiPefHWrORbq5vyIjy2ygTNz0rE3xYMdVsuXaROZo4nJjEvJsHn1vbUWV7k17WDQ9myImR1uKS4p/YB7q3SFIPUAhNOCxMIVCgv0nVeTGARsMs620isTLJyG6nUXqLaAyMfdFusOdtIqKg4X+KkXHl+tLz0Hg988wIQ2TprtCbv7+J9wPnTbrWwAjpV+tFHH8XgwYNhtVqRkJCgaBue57F69Wqkp6cjJiYGI0eOxOHDh3VIIXeBak+VdhDnqAKrMeZFKoNCDjUBuxfiurv8qPFmJDVnC0w6bRPifkRE6qzaCOAgn+l9JVm3kWuwHRsN5qP5QzCit/itRT7bSNpMf5aPRf2QBwCIb9hmrbPYwuU69hQoqiLmxdmcayaZ8PrWqFA4dqNoklCJT1oRyu449rlpauJJPN1fOGR3bCd2pWmMCbLBjEZY0HBPJbCiWlU78nVe9CsHrGNexM25jBdHzIVKF7TqgF0ZtMe8CK6R+EtWOMnzp1Z5UWJ5UdhWl0Jg9j+Au/cA0FZIDvGdgXQpd1gAKy9NTU2YOnUq5s6dq3ib//7v/8azzz6Ll156CTt37kS7du0wevRoXLx4UZsQMtq1+kBH9/U7tHMoL8KYF2VuI+Gsw0qIVDC30YTGNVjRfBvOpl/t8qM2H7bUA+PS3MSK23DD5cao1J3gqbm1LTfgxZZx2Hudh6h3oRlfePMUxpIwNL1kdrBiUE6SeKGCmBchlze+hHNX3g1A/DDVY60S9dGD8qIl5sV1CzuDN2TH8FWi6DvHNONsI8fnDu0s+Ore4dizaqTX7T3FvLDEYb2NaJ/sEuTvHfk6L4FneRGeUrcKux1yWt/ul+xX1aaWmpRSiLONNLqNErIcLbivp/Z6ZtUxB1mDgLjWwF2W90g3r3ogBew+/PDDWLx4Mfr27atofZ7n8cwzz2DVqlWYMGEC+vXrhzfffBMnTpzARx99JLtdY2Mj6uvrRX+CVqU3UqvMSixLtF5SVAS+94uKU6XV4TXmhQP+xXfHBtsIjyZrFqnSSief9Lp/k1lz/Q9nc+BwAdF4omUGzne8pN3P3uq+otwkhKLKyQwHpkvbrd+9W15OZN8AAPje3hU8TE4lQnhO9RSpEz1UPASKaot5cbW8sDueSipiszx74ikB2lrO7GBFUqx7ET5XPMW8sMQhZ6SGIhmycxsZHfPSc7Tq9kTKtJRlKL4zYGmnqk3VbiMZLBEa72FC5SW+1XosfW9Ve2UrmS5B22hxDbzXNeZCqc7L0aNHUVNTg5Ej295s4uPjMWjQIOzYsUN2u8cffxzx8fHOv8xMgRvBmiS5jVml80PqweZUXjS6jdQQqcJt1GJzfbPRdjOKkhyUumYAcpNF6yByNiG6p136knWV5xWFCJQas4lDco5MZWIAmLK+9f/kdQqFczl+sgpU28f/dJ+JhpkfY0bTqtafOPeVhAG7vOrrWPhFuxIkFfPieojZuI0uVdiVCB6X37/+B4CU5UUNRlhevrANcFvmsLxoMblLXjtulhdt58118lAHq5pvBYr/qLo9seVFmyXZFSOUF83ZRpfcRpLXmo+seEpwVZJ1HUGXNOygntuopqYGAJCaKi4Wlpqa6vxNipUrV6Kurs75d+zYsbYfhywCeo5x24ZTGfEudVwT2+lQXhTeEG/Iby30NW94N4/rCVtrcTWZaMw2GtIj2W1Z67zLjNxGLJQXmaY94poqLWDQzWuA3y0HbvvCfbu8G4D/+gXoO0WDdFBkeTGbzWjpXIhziBG1wIvcRtqHrHBfvIdsHW+HUtJt5CnmxQduI4EgmvYl2q8oYFfD8TbggTOneRnGCSdhROsUCQMyEzS1p6zOCzvLi43n8D+2a1XVonGKIftN+7lm5zbSmG3EmYC4S7EunS4HIKOk+9ttJMDiJXxBEdPebC1q2XeaaLHhs0qvWLECHMd5/Dt48KBqIfQQFRWFuLg40Z+T6Dhg5ga3bUycuhMsdf0kSSgvalKllfDUtP741+pRzlmBldBic+2btsGeEOPeFx6cPneAiz/dNV33TLeJ2ptWvKZ0wC6A1jmKRqwCOhdIb6oqPVeZ5UVkDDFx4nvPpR9FReqENUjUzi0nTJX26DbyfDSl3trdLS/635Ad/VOiMLc9OPTfYG2igF31GOE24mFCA8Qzdg/ukYr37izU2KKCB6VG5UXKjaVJCXSIIVS6maVK+9nywnHAgm+Blf9xurykZWLvNtJKhI4XJyd9JgDXPQm4uL+1WF5U2Y6XLl2KkpISj+vk5OSoFgIA0tJaszNOnTqF9PQ2k9KpU6cwYMAATW3KYVIZNCZ1M5e0vChOlW7l7qYFeM7yPADgPB/lNh8vx3GIt3pvUyhfi6ciUDrfCHVbXlwVKYHctzYtx8Jh86FcTXN1GyncyIPlhSmuAinINjJzHNpHt11PDtekONtIeCNXhzhVmrHlxXUdRm/I7m3J4NRd9CsvYreRhngSg64r1+NgMkdojrmQTLZxu0a1Hcu4aPfHip5Hquwp1XGuh/ZgU5QyOkKHouoSpyOdAcYymksfrokjLCXTYnlRpbwkJycjOdndncCCrl27Ii0tDdu2bXMqK/X19di5c6eqjCUlmKTrS8oidVgz4i/NJKyhwq7jRH1iH4zDjZ2xPOJd/LllKj5VJZW0fM2ulhdh5Vg1A0FiXdcidapx0zbavtfzVg1uJIElQbn2Itjch8qL7KzSbZ/NJg4RZhN+eLg1qNHxBiuqsMvKa+fJbeRlH8oCdvXHTjhQlG0k8Unr/vUp6MYpL27HQUfckiRuQebajkN8jPu1pSToWg55MdTL1z0lFjcPysLUgQpKLCggxqJ9rjFXpI1BgeM2crWodWjnPXhdKQGVKl1dXY2KigpUV1fDZrOhoqICFRUVaGhocK7Tq1cvbNrUmuLKcRwWLVqERx55BB9//DH27t2LWbNmISMjAxMnTtQnTJR4Jmgz1MW8uN6Yx/XPwKjLLtXxsLe1pWZ6AAcH+SzMaV6OfXy2KplE7QkabL4UsLug6W783XYlMGShYEU1p1tOeWF0yXAm0S5sMKuvxyR8GGuRQWe2k0e0uI0udSg2KgKxUW0PJtHEjEITusoblfAG4TnmxfPRdNY4Em7jyW2k2/KiJFVaRhAN2AIw5gWAeBJGIHCVFwlrsS7Li9z1o0G+9PholAzpinZRbI6dVai86Lz0JK1hqhs1MuZFWKA0Gbf/riuztg13G6lh9erVeOONN5zf8/PzAQDbt29HUVERAKCyshJ1dXXOde69916cO3cOd9xxB3799VcMHToUW7ZsQXR0tD5hrB1EU5qbdATsZidZ8dyM/LYF9rby3EpjXpja2yAe3I5so832Qmy2F6JKWHVT5+jioXNoiG6OnOh7iyA1WHFzws9K++Yrt5FbIQO5Oi8Cl5Dc2wcjOcUxLx4UbS+HsmRwNnZXnUFxXlshPo+WF420TQ/g25gXewDGvABSU07oSJvnW9wXusqt8bqTtrxoPy8s3UasDRMxkRrrvEgg/TISOG4j4Rx7L91cgOhIdte54W4jNZSWlqK0tNTjOq4ni+M4rFmzBmvWrGErjLUjcLaqbT8qb0mSKbkOBJaXjxYMU9Ye4wtSbHlhk20k7zZi5LdoXeD8ZFNZ9ditaaUriorU+dDyIjc9gMhtJN2U3GSYau/D4ktBu9uoXVQE1t96pcd1WFbYVQJLy4vemBejHjjubiPtYyaCb3JfqPCa9YaU8qIn0F88J5fwFw3KC2PLhNDyonqyRxckA3YDKNtISz0hpWhJZAqYVGlDcan3ciZB3cyYQmXD7RgLLC95nROUtWegMu1e9lqj8iJTL4NZwC4H0YFo0eQ2krupORZK9ddDthFLNATsyhXKEysvguUq71NC0yxn4jwG7arFzfIinv5XV9tK3LweY15U7l/sNlIvu943cDncFCkdlhcLJCwvjAJ2YyTeyHVZXoTtiLLx/G95sVoE2abNWuZtaoNJzIuBCN1GrIt6BlTMS0AhCFq9rvExnItV56szeboPJ3muwSKFkZdjs2u2EYO6DUL0pUq7yiK0vKiXTXxaFD60fJZtpOxB4xqw660tPQ9GcbwMZFO/tezByFTpSCXKi2MfUvvyccCuUSPc3W2kXfmM5JvdFzKyvEhdo6wqLnM6A+5ZKy/RkW0yXGhWP2O2EGmvUeDEvESKlBe2bRte5yVoSR/g/Lifz1Y9jDw+MJJzgZnvAXd+qbg91lqrsDlWdV7kBg2z6QFcUqVtMOkL2JXUXbw0qMPs7hXF0wMIP6uzvKjF7QYh8/DToiAZMT2Aw8RvVpAd6Nnyog6R28g1SFYJBr2dsMw2ipBUXjjDlHt99w3VP3iQg+3DXThWdCsvUte5areRLhE8Iox5YW55CaSA3YBi4Gz8eGQ//rCvNc1b7XES3fOlLg6V83WwtioLrQ7NrtMDMLW86B0ZnmNeWMcCeXcb+TJgV05RaltPzvIiTJXWZ3kRtAmereXF5TvLVOkITsFDgWHMi94idUa8E35wVyGOHDsBbBPuRrvyHQkJ5cUVhjcqVm4jlyh99XIY+HC/2KRPebHomHTVFwgtL6yfYWR5kcMcgUP97kOZfQAA9Q8A5gG2TFvzErCr2Xzvvi4HnuH0AGLLSwuvwfIiE8gqXMMN0ZulgQ48hSZ40VyJcsoLo2Hq1r6L8vKVLQ+AtsPi7jZikW3U+j9CVWkDFhYffanSHidH1cjA7A648cps8UIdlhdJt5ErDJV7ZgG7Oi1DBuouui0v/TRO9SDGuB6KpkIgy4vvEGp2qt1GgjHC5NJg7TYSfHabmLGdIFhZZ7YRB4BXMEmeh0ZdZBFbXlS3JqeXpVwG1O4Deo1130j4wPZpwK73VGlZt5EBqdI8L5ZpVfOt+JttSKtMDIJUWdR5cYw1VQG7jLONWD0K/ooxqGjWWRjN1dKiR3mRtbywsUz+c8kwfL7/FFDmaFWH5YWh28hI7UWv8hLJYph7MC2V2fpjRfNt+EZj0xEs5jaSQUvAbtgoL2YFDwk5mFtKWLcntGC4ZhvFJAKz/9H60NYZ48GBRy0SdDQgP1lfi4aYF1HTwm1nfQTs/xvQb3rbsqKVwMHNwMDZwLGdEvIwRmGROmWWFzZXjNt1L0gb32Qb2jYhJIPdsXAbLR+di3s/+B45iRbgUpmmt1tGYKNtKD5wWZflm6CNF7qN2Fwjf8St+M0mkeGjBldl22jLi47rrntKLLqnxLJRXhgWqTOSCzrdRkZzkM9CDZK8ryiDkanS5DbygPDBoD7mhbGlxMAxJzm3UdYg58ylypF2Gz3SfDPQ/VrgxrfVC+fh4akl5kVkeRFuG5sCXHl768ScDopWAHf9LyAs2mdowK5LX+SmBxDGvMhX42Iiktv9QUN1aKWwsLxMG5iJr1eMQO/Utlm/7m+5Dbv5Xs7vfTvFAwDG98+4tCsWbiN9lhcphccuWT5VJQoz2JQQVDEvok31uo2MM71c1Gl5YYN8//QG0Rtb54UsL7KYdCgvwvUtDE4gc2VI8Hl31VlGjUq7jX5GAnCz63uv4kbF7QsqHWup8yJqWem2jFPHPexI/FVuegDBanKzFbCKoXArcCeoUdTC+FbAKmA3IyFGJKcrb86+El8e/hmjHdN1sMg2Eqama9he6kHNQndxdxuFR8CuPIEVsKvXbcQEDx20g0OEjnRFFs8+ObSIFT6WFx1uI+H60Rb9b+tGBuwerPmNceuC/eh9a3FVHARv/jaYdKWwK9/WR8qL0rmNFLiNWA1ToQLP87xIeZSTSSuit7xI1/nS1TYm/6BNbGfBhAGd2kqVM6jzYhOlR2u45l12V504SLp6qup2OXHjnqZ48IIytxE7WAXsitCSbaRZCu8EutuIB4ekWIVT2EhgZMwLuY08wGoOvhgGUVXMU6UN8UNJW170NekS8yJwG2mqsCv8rMnyYqDbyFUxkK3z4t1tZDdAyWq1vEjXT9GbXZdojcQ1fdLbFrhMjKoavbEiKhFaCbQo7MLtxzf+AZ/1fZaN8gKIx5DRbiOmcLjjdznatmQYsKu3hL8nohjO9WMEdnBI0jETdKC5jcJGeWFmeWFwgRpVPpwpRsjolk8rtryovRmJm1OsvcjLw5L6E+LvitxGPg5MlHHH6N1d147t0CNVoLBE61RePFhe3GHgNhK0kdOxHT64q1BlC23bf893A8yRbNxGgPg60hWw61uFMDU+Bvdf11vTtuLYNpkfFGKE6lJ66xXokRKLV2cN1NcQE8VKvg29lhcj3UaUbeQBoclLT8yL1Lwd4QPDoc+JLS96HzqKr32RtmDgubxY57Jf6X0J71dybx+sMl5cGpVXXnQ2bTZxYguBXsuLQM5OCTG4q8jDlBxMUqXbZF94TXcgu4Oq7V1HiYnj8PLNBbjtzd14bFJffcIJryMd168FEhMzAoYFhXA6rIcss42M6F5RbgqKclPYN6wFTzEvvAnJsTosLxGB5TYKG+VFyQR4SrZlY3nR3YQionW5uKSzjdjBublW9BSpU27N8lHMy8DZwJdPtn2XeUsW3mvkB7BBF4xszIteRZIDWhrbFui2vLQpL/9vxQgvK+s/VjadbbgGp5pMHEb2ScWhR8bAEqHzmmPkNvo84mpMbPmHPlnUoOOaks020oCRMS+Bjh0ceqS217x9BKvYCwnIbeQBs54idYLPLJQX1tlGcnyyYKj2jY2WkeNEbiNAw3mRMycr3sjAyz8uA7h5Y9t3mbdkYSyEnOn0eLs+TEUDLqWM2mWUF51tR5g5oKmhbYEwPV0LySrcDUorLXtAFFyq6VXdRXm59FW34gIwcxs9FzEb9zTNR5U9Vb9MStBjeWFwL7rh8k4AgHtGdNfdVmAjf72mxMVg9tBszS137dhO87be0KIXhaXlRY/bSJ8141J7ulvwzqqxvXVp2VKwlVvK8qIy5kW0rRYRDHYBCt0lCm7ecoaXvR1G49sjJ/F/9h5g9a4cHWGG3I1O77PCxHFAo0B50dvgmCeAmARgwEwFK+u/SsVuOi0Bu2KYjhtGlpeLiMLH9iGYg88YCKUEHZYXBnt/amp/rBzTG8nttbtNggIPyvZ1/TshKkL7PS+vUzyenNIPnRJjNLchB9V58YC4SJ3awNC29VnEvPjC8KInn78Vg91GHNyyXVRLLLK8BJjbCACihAXxpIea0PIiZ5Eb0KUDFu5wd5ekaLgRLxvVE4dONeCqHO2VNr0RYeKApnPsGrR2AK570vt6AJPBpTvGyOW6YhqgL1JeGFiB3WYyNsixwshtlBCjLT2c47jQV1y8wOI6nDpQ5xQXMlDArgf0uI2EMFFefGB7idAbGS5ZpI51zIuL8qLjsGgJeTFceVFQzVcUsCszgMf3z0CzjccAl4nbUuLU34wXjOjhdR29NzmziQOajKs35BkWyovgpGhwGxlZCE3sNtJe58WRMuyzvEdGY61PRhxwlElToYnLcW4yxcBiv9D6k9H3Ox1QnRcP6AnYFRLDokhdUFhe3GFr/nZ3G6luQpNEPso2AoAogdtOJr5E+JyTM51yHIcpBZ1b54oRkNI+Wq+EhuDmNvIlDIrUidGgvBg5wDk2MS+OXrF9IfFAbJr3dWQQHk0D66QFAAzOxVVzgfjMViWm9zj8mDTc+RNntJtcB+Q28oCeuY2EsAjY9QVazHDeYG55cQvYVevOk/7MfiONCC0vzeclVxG5jVSeMy1uI19gZu02UgXjc6rF8uIiA9PLjFHMi6NbhusCN38IfP0cMO5ZzU34KsEhJLB2ABbtdV50/Iu/b/vNgGcCK7Q8r8LG8qKnSJ2QYMk20l3K2Wi3EWfS7TYSB+xqiXkxWBE1Cx4uMiXy9bgYAtWHbzZxQN4NrV/S+/t256H+oDOxqfPicI0ZbnnpPhKY9TcgsYvmJkL9lLbBqKMyL2ic0ZZmHWh5JoaN5UWUiqXjGgmWgF2zgTn5TGDhNtJyIH02MeMlJr0C/PpvIL2f5M96rqfLMnTWT+l3I/D9BnzK60ipl8Bs4oChS4C0vkCXwUzb9g7rwaU/VToQs43alGZe7oeAwRcxgoGBAcdeOMloAGuBFLDrAVYBu8GSKm1EthFzXLON9ATsalnTF8pL/+kef+6d3h63FHZBeoLy9MPXZg3E/pP1gpmUNXL908Blk/Dg2zLVVjViNnFAhAXoNZZpu4pgfYNm4DZiCivlxdGcPml8Q1AIGZgIg3QD2fKiJb8kfJQXRm4jFoV6fKEBGxOwa3SFXZUxL3pFCIDBzHEcHp6Qp2qbkX1SMbIPg+JiFiuQW4wL/BYA7GbE1RJ8xw6pfftWHkOVF0ZF6gLQwCIL6S46ENU3C9wjqUW2sFFeTDoDdj+cW4hfGpqQk6yzWqjG/aslKGJeZDJwFDehKdnIx5aXMMSIYHHFMB9cGq55VxmY1nlho7zAVzEvDKCAXR2IlJfAvd9pOcNho7wI3wa1vHUUdFE3OZsnfDEU9ce8SCkvDJGIeVHbvu5U6QBOHQxmtNRsYAaLInW83BeF2+uWwANChcXMItsocJWX9lER+K2xBUW5yW0Lg8lkpBYjuhYkbiOyvHhAeEP19+XvC/Odf033CvFLkTofpkoHCazHgxEuS/+hpUidgf2PFMRGhXjMy+dLhmHn0dO4rm+6v0UJYoLDbaTllhE2yovQlG33s/bui2tI9yRwEplARtd5abH54ryQ28gV1sMh4Mz8euTRcnBc9sf0aDBSXhy4j2l/v9q1kRYfjQkDOvlbDN9hxLBhPJ2EUWixoofN3VtkifDz+PRF6p9u5aXFPQOFecxLrDjotNnmOs+KiuaUHlPhdRDAg9mX8IwHhF9jXhggdnsFmNvIIkgY0BWwGzwxL2KCTV4VGNA1XmR5CdzHvZb3i8DtDWOEISDhYHmJ1Buwa5NSXhjCccDw+4He4/BRrz9h+sBMQ6dcF+xY8DFsLn+fEqxuoxduuhwdY6Pw1uwr2xbGqs/qMjTbSFjsUFeRulaCT3kh1CB0FZkCuPZXQCkvjz76KAYPHgyr1YqEhARF25SUlIDjONFfcXExE3mElhe73y0vxhOl1/Jia3ZbxPxGZ+0ATP8fTLzxdjwxpZ9qn6wmiwFlG7nB3G0UpMrLdX3TseuBazAoJwmY9hYwZCGQq6VWjYvbiOXhsAiVF+2WF7s9WC0vYUSE8tpPcvAUsKuepqYmTJ06FYWFhVi3bp3i7YqLi7F+/Xrn96goNiXQwy7mxazzQrU1shFEFrYHQVvadOAOZl9CAbttOG+ifca3/mnAWMsLI7fRpf/Be6ZCnPgsYMY7upsRje1Ai0UTkNTOonobw5SXhx9+GABQWlqqaruoqCikpemsHCqBULPj/a68BEHMi4TbiOljzm8DiSwvRhN4cy75+lpzDdhluP9IwUziRgTsBnoqcqDLpwtB3xZ9z+YeKbjHmQL4fhcdacaeVSPx22+/oeszyrYJuN6UlZUhJSUFubm5mDt3Lk6fPu1x/cbGRtTX14v+vOHv698Xt1L9youU24jhW7W/lBdRwG7AXf7+gdF4WHvjAEy+vDNuvCKLTYNBiqG3F7NAMdSjvARBnZewhtn9URCwG+D3u6TYKHRQYYEJqN4UFxfjzTffxLZt2/DEE0+gvLwcY8aMgc0mX4n18ccfR3x8vPMvMzPT6378HvMSDJaXFne3UX5mPP65ZJi+dhmiTQkly4tRTBjQCU9N66//2gtyeoxZAADYbBvEvvEIwc2d3EYhhgFnI0hSpbWg6i6zYsUKt4Ba17+DBw9qFubGG2/E+PHj0bdvX0ycOBGbN2/Grl27UFZWJrvNypUrUVdX5/w7duyY1/2wTg1Vi08sL1pmuhIi4TbqlRaLbGYZQfqPQoI1En07xaN3ehySYxW6Kihg1w3heNixcoQfJTEIBu4VNSRlZKNlZQ0WNN8DgLGRkZHlxZkqzQWb5SXY5FWDISV2nZ8Crv6STlRd/UuXLkVJSYnHdXJycvTI49ZWx44dceTIEVxzzTWS60RFRakO6vW/5cX4fehPlXZ3G7GtUaf/IHAch7/NHwJATYYLTQ/gitCClR6vP8MhYIiKB9qnAoXzfL7riKgYGPKaEsFGefH3PZDwDbxwbqMQs7youvqTk5ORnJzsfUVG/Oc//8Hp06eRns62PLT/A3Z9sQ+9yotUthHjCrsMUJ2WK1ydLC8AQvhdtmiFXxQXQzEL3UZ66rzIpUqH7NUQlnAhbGk2rDfV1dWoqKhAdXU1bDYbKioqUFFRgYaGBuc6vXr1wqZNmwAADQ0NWL58Ob755htUVVVh27ZtmDBhArp3747Ro0czlc3fAbtBYb6TsrywJBCyjULsTYQITJhe6ULLC4MxdJFXn6LqV/x98zaS5FzmTfKiR3wQPHdUYJjysnr1auTn5+PBBx9EQ0MD8vPzkZ+fj927dzvXqaysRF1dHQDAbDbj+++/x/jx49GzZ0/MmTMHBQUF+Oqrr5jVenEQ7OXLfYJUqjTTG0cAZBuF2JsIEQaY2Sgb/TonAADuxUIgIQuYrLwWF2EQvccDY54EbtvGrs0Qvt8ZFslWWlrqtcaL0H0TExODrVu3GiUOAGBeUTfsrjqL0ZexryOjhkCe3dOJRLZRaNR5EcoQWoNZK/52o4Yqky/vjB0//oLr+2ewa9QcyaSZ52bk46XyH3HToGFAylwmbRI64Thg0B2M2zRJfw4BwmZWaQC4t7iXv0UAECTGO6PdRn47CqH7JqIVUl2M4alp/WG382ynS0hmcw9LjYvGg+MuY9IWEciE7v0urJSXQCEQjA5ekQrYZfmGHghF6kJsMGuFDC/GwXyep+RcYMYGTRNGEuEHL7rfBcODRzmkvPgBpuXCjULK8pLUneEOyPJCEJrIHWNc26TJhhihe78Lrd4ECcKXsddmDcSVXTtg07zB/hNIiq6/a/0f1xmYvRUYsggYfDe79gPB8kLZRgRBhDA8xbwQLBE+PwdkJeC9Owv9J4wc458DMvKBftOBhEwg6yrGOyDLC2E0ZEUIOcgypAqO3EYES4TVLZlNdMgaawfgd8uMaz8QLC9UYRdAa+kAG5VcJQCQwhdaiOq8hNjLWmj1JkgQPijCtuZMIAykQJAhAHhrzpVIamfBSzdf7m9RCIJgSQgnKJDlxQ/YBabPiACfpjzk4O1tn0PMjKqVwd06YveqkcFRf0gVodYfglBHjEXwiA8x5SW0ehMkkOXFjwiVFwrYdRJ6igsRmpBbSw3dUtq3fSHlhdBLUMS8GI2/HpbCgL8QG8wEEfJ0yPG3BEGFSfiCFmL3u9DqTZBgF2gvrIpYPTW1P5N2fIa/BpLIbUSWF4IQERXnbwk8U1ACDF0MzPrY35IECZRtRDCkxYDMjskFnXG+2Yb/+ugHLBrZg3n77PHXQCLLC0HIMuYJ4LcaYNBd/pZEGnMkMPIhf0sRPFCdF4IlNoNqFfz+qi4oviwNye3ZzsIdUggPfYgNZoLQTXxn4HaGsxoT/kVkbQktywvdvf2A3cCaGkGjuPgt5oUCdgmCCBNCOFU6tHoTJFBBMMBvbwGimBe6/EMbGmdEuEPKC8EQO5W4DgzLS4gFsBEEQYigmJfQgud5tLS0wGaz+WX/kWhBp/atLouLFy/6RQZWmM1mREREaKgTEgABuwRBEKFMCLuNwk55aWpqwsmTJ3H+/Hm/ydA7thkPDU8BABw9etRvcrDCarUiPT0dFotF+UaBUOeFIAgilCHLS2hgt9tx9OhRmM1mZGRkwGKx+KWy6OmGRkQ1NAIAuqYFeF0FD/A8j6amJvz88884evQoevToAZPi6Q4CwG1EEAQR0pDlJSRoamqC3W5HZmYmrFar3+SIaAK4iFYLQHR0tN/kYEFMTAwiIyPx73//G01NTcr74y/LizXJP/slCILwNSLLS2jF+IWV8uJAuXXAGNpHR+BUPWAKkYtJ2/H0U99T+wCjHgHiMvyzf8J3tEvxtwQE4V84qrBLMMRqiUCPlFhEmkPLjKcKfw6kwXf7b9+E8UwtBaq/AfJu8LckBOFfKOaFYI1oqvJwJCK43WVEAHPZpNY/ggh7QjfmJbR6Q3ilqKgIixYt8p8A1/0JSOoBXLvGfzIQBEGEA2R5IfxNUVERBgwYgGeeeUZXOxs3bkRkZCQbobRw5e2tfwRBEISxUJ0XIlTo0KGDv0UgCIIgfEEIKy+h1RsN8DyP800tfvnjFRZMKykpQXl5OdauXQuO48BxHEpLS8FxHLZu3Yr8/HzExMRgxIgRqK2txWeffYbevXsjLi4OM2fOFBXkc3UbZWdn47HHHsPs2bPRvn17ZGVl4ZVXXmF9mAmCIAifE7rKS9hbXi4029Bn9Va/7Hv/mtGwKgjcXbt2LQ4dOoS8vDysWdMaK7Jv3z4AwEMPPYTnn38eVqsV06ZNw7Rp0xAVFYW3334bDQ0NmDRpEp577jncd999su0/9dRT+MMf/oD7778fH3zwAebOnYthw4YhNzeXTUcJgiAI3yNSWEIrVTq0VLEQJT4+HhaLBVarFWlpaUhLS4PZ3Do30iOPPIIhQ4YgPz8fc+bMQXl5OV588UXk5+fj6quvxpQpU7B9+3aP7V933XWYN28eunfvjvvuuw8dO3b0ug1BEAQRRJDlJbSIiTRj/5rRftu3Xvr16+f8cPanpwAAFt1JREFUnJqaCqvVipycHNGyb7/9VnEbHMchLS0NtbW1umUjCIIgAgQqUhdacBynyHUTqAgzhziOc8sk4jgOdrvn+Xy0bEMQBEEEOoK4yhCzvBjWm6qqKsyZMwddu3ZFTEwMunXrhgcffBBNTU0et7t48SLmz5+PpKQkxMbGYvLkyTh16pRRYgYNFosFNpvN32IQBEEQwQgpL8o4ePAg7HY7Xn75Zezbtw9PP/00XnrpJdx///0et1u8eDE++eQTvP/++ygvL8eJEydwww1U5js7Oxs7d+5EVVUVfvnlF7KMEARBEJ7hyfKimuLiYqxfvx6jRo1CTk4Oxo8fj2XLlmHjxo2y29TV1WHdunX485//jBEjRqCgoADr16/H119/jW+++cYoUYOCZcuWwWw2o0+fPkhOTkZ1dbW/RSIIgiCChRBTXjheabERBqxatQpbtmzB7t27JX//4osvcM011+Ds2bNISEhwLu/SpQsWLVqExYsXu23T2NiIxsZG5/f6+npkZmairq4OcXFxonUvXryIo0ePomvXroiOprl1WEHHlSAIIgD5YSPwwa2tnx+oASJj/CuPF+rr6xEfHy/5/HbFZ6rYkSNH8Nxzz+HOO++UXaempgYWi0WkuACtGTM1NTWS2zz++OOIj493/mVmZrIUmyAIgiCCnxCzvKjuzYoVK5xVXuX+Dh48KNrm+PHjKC4uxtSpU3H77WzntVm5ciXq6uqcf8eOHWPaPkEQBEEEJ6Eb86I6R3jp0qUoKSnxuI6wzsiJEycwfPhwDB482GvZ+bS0NDQ1NeHXX38VWV9OnTqFtLQ0yW2ioqIQFRWlWH6CIAiCCDvCXXlJTk5GcnKyonWPHz+O4cOHOwNvTSbPB6+goACRkZHYtm0bJk+eDACorKxEdXU1CgsL1YpKEARBEOELZRup5/jx4ygqKkJWVhb+9Kc/4eeff0ZNTY0oduX48ePo1auXswJsfHw85syZgyVLlmD79u3Ys2cPbr31VhQWFuKqq64ySlSCIAiCCG2owq4yPv/8cxw5cgRHjhxB586dRb85Epyam5tRWVkpmvX46aefhslkwuTJk9HY2IjRo0fjhRdeMEpMgiAIgiCCDJ+mSvsCT6lWlNJrDHRcCYIgApC9HwAfzmn9/FCdf2VRQECmShMEQRAEQbCAlBeCIAiCCEVCy7EigpQXgiAIgiCCClJegoSioiIsWrTI32IQBEEQQQNZXgiCIAiCIAICUl54Hmg6558/hf7IkpISlJeXY+3atc4pGEpLS8FxHLZu3Yr8/HzExMRgxIgRqK2txWeffYbevXsjLi4OM2fOFKWib9myBUOHDkVCQgKSkpJw/fXX48cff3T+/uabbyI2NhaHDx92Lps3bx569eolaocgCIIIcEI45sWwOi9BQ/N54LEM/+z7/hOApZ3X1dauXYtDhw4hLy8Pa9asAQDs27cPAPDQQw/h+eefh9VqxbRp0zBt2jRERUXh7bffRkNDAyZNmoTnnnsO9913HwDg3LlzWLJkCfr164eGhgasXr0akyZNQkVFBUwmE2bNmoXNmzfjpptuwtdff42tW7fitddew44dO2C1Wo07FgRBEAShEFJegoD4+HhYLBZYrVbnHE+OyS8feeQRDBkyBAAwZ84crFy5Ej/++KNzfqkpU6Zg+/btTuXFMe2Cg9dffx3JycnYv38/8vLyAAAvv/wy+vXrh3vuuQcbN27EQw89hIKCAp/0lSAIgiC8QcpLpLXVAuKvfeukX79+zs+pqamwWq2iiTFTU1Od0y8AwOHDh7F69Wrs3LkTv/zyC+x2OwCgurraqbwkJiZi3bp1GD16NAYPHowVK1bolpMgCIIgWEHKC8cpct0EKpGRkc7PHMeJvjuWORQUABg3bhy6dOmCV199FRkZGbDb7cjLy0NTU5Nouy+//BJmsxknT57EuXPn0L59e2M7QhAEQTAmdGNeKGA3SLBYLLDZbLraOH36NCorK7Fq1Spcc8016N27N86ePeu23tdff40nnngCn3zyCWJjY7FgwQJd+yUIgiD8QHSCvyUwDLK8BAnZ2dnYuXMnqqqqEBsbK7KmKCUxMRFJSUl45ZVXkJ6ejurqajeX0G+//Ybf//73uOeeezBmzBh07twZV1xxBcaNG4cpU6aw6g5BEARhND1GAQW3AhkD/C0Jc8jyEiQsW7YMZrMZffr0QXJyMqqrq1W3YTKZsGHDBuzZswd5eXlYvHgxnnzySdE6CxcuRLt27fDYY48BAPr27YvHHnsMd955J44fP86kLwRBEIQPMJmAcc8ABSX+loQ5NKs0oRs6rgRBEIReaFZpgiAIgiBCFlJeCIIgCIIIKkh5IQiCIAgiqCDlhSAIgiCIoCIslZcQi1H2O3Q8CYIgCF8SVsqLo/oszY7MFsfxdK3uSxAEQRBGEFZF6sxmMxISElBbWwsAsFqt4DjOz1IFLzzP4/z586itrUVCQgLMZrO/RSIIgiDCgLBSXgA4Z2V2KDCEfhISEpzHlSAIgiCMJuyUF47jkJ6ejpSUFDQ3N/tbnKAnMjKSLC4EQRCETwk75cWB2Wymhy5BEARBBCFhFbBLEARBEETwQ8oLQRAEQRBBBSkvBEEQBEEEFSEX8+IomFZfX+9nSQiCIAiCUIrjua2k8GnIKS+nT58GAGRmZvpZEoIgCIIg1HL69GnEx8d7XCfklJcOHToAAKqrq712Xg1XXHEFdu3aFbDt1dfXIzMzE8eOHUNcXByzdlnLybrNcO03EDx9D8d+h2OfjWgzXPsNBE/fWbZXV1eHrKws53PcEyGnvJhMrWE88fHxTE+42WwO6PYcxMXFBbycRrQZrv0GAr/v4djvcOyzkW2Ga7+BwO+7Ef12PMc9rsN0jyHM/PnzA7o9ozBCzmDoe7j2G6BrPdDaMpJwvc7Dtd9A6Ixvjg+xKYHr6+sRHx+Puro6Q7TgQIX6HV79BsK37+HY73DsMxC+/QbCs+9q+hxylpeoqCg8+OCDiIqK8rcoPoX6HV79BsK37+HY73DsMxC+/QbCs+9q+hxylheCIAiCIEKbkLO8EARBEAQR2pDyQhAEQRBEUEHKC0EQBEEQQQUpL0RIwnEcPvroI3+LQRCEAdD4JoJOeSkpKcHEiRP9LYbP2bFjB8xmM8aOHetvUfxCuJ33Y8eOYfbs2cjIyIDFYkGXLl2wcOFC5/QX3igrKwPHcfj111+NFdQAwu1cAzS+w+2ch/P4ZkXQKS/hyrp163D33Xfjyy+/xIkTJ3S1ZbPZYLfbGUlGsOann37CwIEDcfjwYbzzzjs4cuQIXnrpJWzbtg2FhYU4c+aMv0UkGEPjO3yg8c2GoFZetmzZgqFDhyIhIQFJSUm4/vrr8eOPPzp/r6qqAsdx2LhxI4YPHw6r1Yr+/ftjx44dfpRaPQ0NDXj33Xcxd+5cjB07FqWlpc7fHBr4p59+in79+iE6OhpXXXUVfvjhB+c6paWlSEhIwMcff4w+ffogKioK1dXVfugJG7Kzs/HMM8+Ilg0YMAAPPfSQX+Rhzfz582GxWPCPf/wDw4YNQ1ZWFsaMGYN//vOfOH78OB544AEAQGNjI+677z5kZmYiKioK3bt3x7p161BVVYXhw4cDABITE8FxHEpKSvzYI+2Ewxin8S2Gxnf4jG89BLXycu7cOSxZsgS7d+/Gtm3bYDKZMGnSJLe3jgceeADLli1DRUUFevbsiRkzZqClpcVPUqvnvffeQ69evZCbm4ubb74Zr7/+utuU4cuXL8dTTz2FXbt2ITk5GePGjUNzc7Pz9/Pnz+OJJ57Aa6+9hn379iElJcXX3SAUcObMGWzduhXz5s1DTEyM6Le0tDTcdNNNePfdd8HzPGbNmoV33nkHzz77LA4cOICXX34ZsbGxyMzMxIcffggAqKysxMmTJ7F27Vp/dEc34TDGaXyHDzS+2RHUEzNOnjxZ9P31119HcnIy9u/fj7y8POfyZcuWOX3JDz/8MC677DIcOXIEvXr18qm8Wlm3bh1uvvlmAEBxcTHq6upQXl6OoqIi5zoPPvggrr32WgDAG2+8gc6dO2PTpk2YNm0aAKC5uRkvvPAC+vfv73P5CeUcPnwYPM+jd+/ekr/37t0bZ8+exa5du/Dee+/h888/x8iRIwEAOTk5zvUcs7KmpKQgISHBcLmNIhzGOI3v8IHGNzuC2vJy+PBhzJgxAzk5OYiLi0N2djYAuJlM+/Xr5/ycnp4OAKitrfWZnHqorKzEt99+ixkzZgAAIiIiMH36dKxbt060XmFhofNzhw4dkJubiwMHDjiXWSwW0XEgAhtvha+rqqpgNpsxbNgwH0nkH0J9jNP4Dk9ofOsnqC0v48aNQ5cuXfDqq68iIyMDdrsdeXl5aGpqEq0XGRnp/MxxHAAETUDbunXr0NLSgoyMDOcynucRFRWF559/XnE7MTExzr4HOyaTyW3wC03owUz37t3BcRwOHDiASZMmuf1+4MABJCYmupmcQ5VQH+M0vt2h8R0+41sPQWt5OX36NCorK7Fq1Spcc801TnNbKNHS0oI333wTTz31FCoqKpx///rXv5CRkYF33nnHue4333zj/Hz27FkcOnRI1jQZ7CQnJ+PkyZPO7/X19Th69KgfJWJHUlISrr32Wrzwwgu4cOGC6Leamhr89a9/xfTp09G3b1/Y7XaUl5dLtmOxWAC0Zp4EK6E+xml8S0PjOzzGt16CVnlJTExEUlISXnnlFRw5cgRffPEFlixZ4m+xmLJ582acPXsWc+bMQV5enuhv8uTJItPymjVrsG3bNvzwww8oKSlBx44dQ7ZuwogRI/DWW2/hq6++wt69e3HLLbfAbDb7WyxmPP/882hsbMTo0aPx5Zdf4tixY9iyZQuuvfZadOrUCY8++iiys7Nxyy23YPbs2fjoo49w9OhRlJWV4b333gMAdOnSBRzHYfPmzfj555/R0NDg516pJ9THOI1vaWh8h8f41kvQKS92ux0REREwmUzYsGED9uzZg7y8PCxevBhPPvmkv8Vjyrp16zBy5EjEx8e7/TZ58mTs3r0b33//PQDgj3/8IxYuXIiCggLU1NTgk08+cWrnoYDjvAPAypUrMWzYMFx//fUYO3YsJk6ciG7duvlZQnb06NEDu3fvRk5ODqZNm4Zu3brhjjvuwPDhw7Fjxw5nsN6LL76IKVOmYN68eejVqxduv/12nDt3DgDQqVMnPPzww1ixYgVSU1OxYMECf3ZJFeEyxml8t0HjO3zGNys43lvkUIBRXFyM7t27q/IHhzJlZWUYPnw4zp49G9JR53Tewwc6123Q+CYIaYLG8nL27Fls3rwZZWVlztQxIvSh8x4+0LkOP+icE1oJmmyj2bNnY9euXVi6dCkmTJjgb3EIH0HnPXygcx1+0DkntBJ0biOCIAiCIMKboHEbEQRBEARBAKS8EARBEAQRZASk8vL444/jiiuuQPv27ZGSkoKJEyeisrJStM7Fixcxf/58JCUlITY2FpMnT8apU6dE61RXV2Ps2LGwWq1ISUnB8uXL3SZrKysrw+WXX+6ctVM4oytBEOzx1fg+efIkZs6ciZ49e8JkMmHRokW+6B5BED4gIJWX8vJyzJ8/H9988w0+//xzNDc3Y9SoUc4cdwBYvHgxPvnkE7z//vsoLy/HiRMncMMNNzh/t9lsGDt2LJqamvD111/jjTfeQGlpKVavXu1c5+jRoxg7diyGDx+OiooKLFq0CLfddhu2bt3q0/4SRDjhq/Hd2NiI5ORkrFq1iiYsJIhQgw8CamtreQB8eXk5z/M8/+uvv/KRkZH8+++/71znwIEDPAB+x44dPM/z/N///nfeZDLxNTU1znVefPFFPi4ujm9sbOR5nufvvfde/rLLLhPta/r06fzo0aON7hJBEJcwanwLGTZsGL9w4UJjO0IQhM8ISMuLK3V1dQDapgHfs2cPmpubRXUBevXqhaysLOzYsQMAsGPHDvTt2xepqanOdUaPHo36+nrs27fPuY5rbYHRo0c72yAIwniMGt8EQYQuAa+82O12LFq0CEOGDEFeXh6A1gmsLBaLW8XJ1NRU1NTUONcR3tgcvzt+87ROfX2926RZBEGwx8jxTRBE6BLwRermz5+PH374Af/7v//rb1EIgmAMjW+CILQQ0JaXBQsWYPPmzdi+fTs6d+7sXJ6Wloampib8+uuvovVPnTqFtLQ05zqu2QmO797WiYuLQ0xMDOvuEAQhwOjxTRBE6BKQygvP81iwYAE2bdqEL774Al27dhX9XlBQgMjISGzbts25rLKyEtXV1SgsLAQAFBYWYu/evaitrXWu8/nnnyMuLg59+vRxriNsw7GOow2CINjjq/FNEEQI4++IYSnmzp3Lx8fH82VlZfzJkyedf+fPn3euc9ddd/FZWVn8F198we/evZsvLCzkCwsLnb+3tLTweXl5/KhRo/iKigp+y5YtfHJyMr9y5UrnOj/99BNvtVr55cuX8wcOHOD/8pe/8Gazmd+yZYtP+0sQ4YSvxjfP8/x3333Hf/fdd3xBQQE/c+ZM/rvvvuP37dvns74SBGEMAam8AJD8W79+vXOdCxcu8PPmzeMTExN5q9XKT5o0iT958qSonaqqKn7MmDF8TEwM37FjR37p0qV8c3OzaJ3t27fzAwYM4C0WC5+TkyPaB0EQ7PHl+JbaT5cuXXzQS4IgjIQmZiQIgiAIIqgIyJgXgiAIgiAIOUh5IQiCIAgiqCDlhSAIgiCIoIKUF4IgCIIgggpSXgiCIAiCCCpIeSEIgiAIIqgg5YUgCIIgiKCClBeCIAiCIIIKUl4IgggIysrKwHGc24SMBEEQrlCFXYIg/EJRUREGDBiAZ555BgDQ1NSEM2fOIDU1FRzH+Vc4giACmgh/C0AQBAEAFosFaWlp/haDIIgggNxGBEH4nJKSEpSXl2Pt2rXgOA4cx6G0tFTkNiotLUVCQgI2b96M3NxcWK1WTJkyBefPn8cbb7yB7OxsJCYm4p577oHNZnO23djYiGXLlqFTp05o164dBg0ahLKyMv90lCAIQyDLC0EQPmft2rU4dOgQ8vLysGbNGgDAvn373NY7f/48nn32WWzYsAG//fYbbrjhBkyaNAkJCQn4+9//jp9++gmTJ0/GkCFDMH36dADAggULsH//fmzYsAEZGRnYtGkTiouLsXfvXvTo0cOn/SQIwhhIeSEIwufEx8fDYrHAarU6XUUHDx50W6+5uRkvvvgiunXrBgCYMmUK3nrrLZw6dQqxsbHo06cPhg8fju3bt2P69Omorq7G+vXrUV1djYyMDADAsmXLsGXLFqxfvx6PPfaY7zpJEIRhkPJCEETAYrVanYoLAKSmpiI7OxuxsbGiZbW1tQCAvXv3wmazoWfPnqJ2GhsbkZSU5BuhCYIwHFJeCIIIWCIjI0XfOY6TXGa32wEADQ0NMJvN2LNnD8xms2g9ocJDEERwQ8oLQRB+wWKxiAJtWZCfnw+bzYba2lpcffXVTNsmCCJwoGwjgiD8QnZ2Nnbu3Imqqir88ssvTuuJHnr27ImbbroJs2bNwsaNG3H06FF8++23ePzxx/Hpp58ykJogiECAlBeCIPzCsmXLYDab0adPHyQnJ6O6uppJu+vXr8esWbOwdOlS5ObmYuLEidi1axeysrKYtE8QhP+hCrsEQRAEQQQVZHkhCIIgCCKoIOWFIAiCIIiggpQXgiAIgiCCClJeCIIgCIIIKkh5IQiCIAgiqCDlhSAIgiCIoIKUF4IgCIIgggpSXgiCIAiCCCpIeSEIgiAIIqgg5YUgCIIgiKCClBeCIAiCIIKK/w+m+q7G74e4tQAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### dimensionality reduction with principal component analysis"
      ],
      "metadata": {
        "id": "QG8BA0zWoNns"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.decomposition import PCA"
      ],
      "metadata": {
        "id": "LtfpNnTGoLA7"
      },
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**What is PCA?**\n",
        "\n",
        "\"Principal component analysis (PCA) is a mathematical algorithm that reduces the dimensionality of the data while retaining most of the variation in the data set. It accomplishes this reduction by identifying directions, called principal components, along which the variation in the data is maximal. By using a few components, each sample can be represented by relatively few numbers instead of by values for thousands of variables. Samples can then be plotted, making it possible to visually assess similarities and differences between samples and determine whether samples can be grouped.\" Sourced from https://www.nature.com/articles/nbt0308-303"
      ],
      "metadata": {
        "id": "QnGGkukxoU7Z"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "We will perform dimensionality reduction in this case by representing our three cities using just two values (rather than three)."
      ],
      "metadata": {
        "id": "Ktjr93aNo0Im"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# initialize object\n",
        "pca = PCA(n_components=2)"
      ],
      "metadata": {
        "id": "I650r41WoSlp"
      },
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# fit the pca object to the data (tmax in this case)\n",
        "pca.fit(stand_anomalies['tmax'].values)\n",
        "# and now transform the arrays of interest\n",
        "X = pca.transform(stand_anomalies['tmax'].values)"
      ],
      "metadata": {
        "id": "J5q37qMSpAVW"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# we have modified the arrays from\n",
        "print(stand_anomalies['tmax'].values.shape)\n",
        "# to have a shape now of\n",
        "print(X.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cnGGrR4vpCKx",
        "outputId": "86c1907a-d36c-4c12-b2fa-c12d773de029"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(731, 3)\n",
            "(731, 2)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# lets visualize the two pcs/transformed arrays\n",
        "# first lets view the original data (first two dimensions/states)\n",
        "plt.scatter(stand_anomalies['tmax'][:,0],stand_anomalies['tmax'][:,1])\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 431
        },
        "id": "F9dwLYTBpSE_",
        "outputId": "0fb8fbb8-304d-4e9a-cd20-c8e87aa17d17"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# and now the transformed data\n",
        "plt.scatter(X[:,0], X[:,1])\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 432
        },
        "id": "u-QlVpYDpbTc",
        "outputId": "063e09f8-02c5-4c9d-fc8a-bafbc9f10ed9"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# what is the varianced explained by these two pcs?\n",
        "print(pca.explained_variance_ratio_)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HyWAn_4oplXT",
        "outputId": "0a76a70e-f050-4aa4-8ed4-c1f62ff83970"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[0.51798728 0.25046885]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Other dimensionality reduction can also be feature selection and feature extraction. See https://scikit-learn.org/stable/modules/feature_selection.html for examples\n",
        "\n",
        "### Labels section\n",
        "\n",
        "When using various input variables (i.e., features or channels), normalizing or standardizing the variables is needed to make sure they have a similar dynamic range. Otherwise, some input variables may have much larger magnitudes than other input variables, limiting their contributions to the learning process. By normalizing/standardizing our features, we facilitate meaningful comparisons between features. This practice can also improve machine learning model convergence.\n",
        "\n",
        "Standardization involves centering the respective data to have a mean of zero and a standard deviation of one, which can be achieved by subtracting the mean and dividing by the standard deviation (i.e., z-score). Normalization involves the scaling of data to a set range, such as from 0 to +1 or -1 to +1, by using the minimum and maximum values of the respective variable.\n",
        "\n",
        "Here we have some helper functions for normalizing and standardizing our data using numpy."
      ],
      "metadata": {
        "id": "GM_MnFE1puo-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "freq = plt.hist(ds['tmax'].isel(location=0), edgecolor='grey')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 430
        },
        "id": "sNHswgkuprVd",
        "outputId": "b8ac6f57-ee96-4de6-9a1d-04359b493efd"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# matplotlib bins things for us nicely!\n",
        "# we can see these values... what is the frequency per bin?\n",
        "print(freq[0])\n",
        "# what is the range of the bins?\n",
        "print(freq[1])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Vj1H31A8p0_A",
        "outputId": "72d12ddc-5488-493c-82c4-82f7a0266d40"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[  9.  51. 127.  94.  73.  71.  80. 118.  78.  30.]\n",
            "[-3.50623398  1.05318194  5.61259786 10.17201378 14.7314297  19.29084562\n",
            " 23.85026154 28.40967746 32.96909338 37.5285093  42.08792523]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Let's create some helper functions to rescale our data."
      ],
      "metadata": {
        "id": "WhUf-GyLqE7j"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# z-score\n",
        "# the function applied to the training data needs to return the\n",
        "# mean and std values\n",
        "def z_score(da):\n",
        "    \"\"\"\n",
        "    Compute z-score for training data.\n",
        "    Normalizing data for ML model training.\n",
        "    Args: da (array): Array of training variable.\n",
        "    \"\"\"\n",
        "    return (da - np.mean(da)) / np.std(da), np.mean(da), np.std(da)\n",
        "\n",
        "# when applied to test data, input the mean and std from training set\n",
        "def z_score_test(da, mn, std):\n",
        "    \"\"\"\n",
        "    Compute z-score for training data.\n",
        "    Normalizing data for ML model training.\n",
        "    Args: da (array): Array of training variable.\n",
        "    \"\"\"\n",
        "    return (da - mn) / std\n",
        "\n",
        "# the function applied to the training data needs to return the\n",
        "# min and max values\n",
        "def min_max_scale(da):\n",
        "    \"\"\"\n",
        "    Scale training data by minimum and maximum values.\n",
        "    Args: da (array): Array of training variable.\n",
        "    \"\"\"\n",
        "    return (da - np.min(da)) / (\n",
        "        np.max(da) - np.min(da)), np.min(da), np.max(da)\n",
        "\n",
        "# when applied to test data, input the min and max from training set\n",
        "def min_max_scale_test(da, min, max):\n",
        "    \"\"\"\n",
        "    Scale training data by minimum and maximum values.\n",
        "    Args: da (array): Array of training variable.\n",
        "    \"\"\"\n",
        "    return (da - min) / (max - min)"
      ],
      "metadata": {
        "id": "nUTHMUF-qCTW"
      },
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# apply zscore to first location's tmax\n",
        "zscore, mn, std = z_score(ds['tmax'].isel(location=0))\n",
        "print(mn.values, std.values)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8YshMrlWqLC3",
        "outputId": "134bf123-b6ff-4c90-c7ab-753a5fe98524"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "20.211218503369558 10.986009532508573\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# notice that the rescaling just modifies the x-axis values\n",
        "plt.hist(z_score(ds['tmax'].isel(location=0))[0], edgecolor='grey')\n",
        "plt.title('z-score')\n",
        "plt.show()\n",
        "\n",
        "plt.hist(min_max_scale(ds['tmax'].isel(location=0))[0], edgecolor='grey')\n",
        "plt.title('min-max')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 887
        },
        "id": "UdDHDK3prHZf",
        "outputId": "54adadb3-bf9a-47a9-9921-b299bebf5534"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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g3YEyatQoWZZ13OMOh0MLFizQggULjrsmMTFRa9asae9DAwCAH4mw+BQPAAD4cSFQAACAcQgUAABgHAIFAAAYh0ABAADGIVAAAIBxCBQAAGAcAgUAABiHQAEAAMZp92+SBX7sDh8+bPcI7dK1a1e5XC67xwCAdiFQgDaKVZP8lrR27Vq7R2mXiMgozZyRQ6QACCsECtBG0Y5mRTikkka3vP6Y77+DAVwR9bo8eq98Ph+BAiCsEChAO3n9MfrKirN7jLbx2z0AAJwcLpIFAADGIVAAAIBxCBQAAGAcAgUAABiHQAEAAMYhUAAAgHEIFAAAYBwCBQAAGIdAAQAAxiFQAACAcQgUAABgHAIFAAAYh0ABAADGIVAAAIBxCBQAAGAcAgUAABiHQAEAAMYhUAAAgHEIFAAAYBwCBQAAGIdAAQAAxiFQAACAcQgUAABgHAIFAAAYh0ABAADGIVAAAIBxCBQAAGAcAgUAABiHQAEAAMYhUAAAgHEIFAAAYBwCBQAAGCfkgdLS0qI5c+bI7XYrNjZW/fv31wMPPCDLsgJrLMvS3Llz1adPH8XGxsrj8WjPnj2hHgUAAISpkAfKI488ouXLl2vZsmX6+OOP9cgjj2jhwoVaunRpYM3ChQu1ZMkSrVixQmVlZYqLi1NGRobq6+tDPQ4AAAhDUaE+4TvvvKMJEybommuukST169dPL7zwgrZv3y7pf++eFBYW6v7779eECRMkSatXr1ZSUpLWr1+vSZMmhXokAAAQZkIeKCNGjNBTTz2lTz/9VGeffbb+/e9/65///KcWL14sSdq7d68qKyvl8XgC93G5XBo2bJhKS0tbDZSGhgY1NDQEbtfU1IR6bAD4Qbxer3w+n91jtNnhw4ftHgE4oZAHyuzZs1VTU6MBAwYoMjJSLS0teuihh5SVlSVJqqyslCQlJSUF3S8pKSlw7LsKCgo0f/78UI8KACHh9Xq1ZOky+Vua7R4F6DRCHih/+ctf9Pzzz2vNmjU699xztWvXLuXm5iolJUWTJ08+qXPm5+crLy8vcLumpkapqamhGhkAfhCfzyd/S7NKGt3y+mPsHqdNfhLp1eAuB+0eAziukAfKPffco9mzZwd+VHP++efriy++UEFBgSZPnqzk5GRJUlVVlfr06RO4X1VVlS644IJWz+l0OuV0OkM9KgCElNcfo6+sOLvHaBOX/xu7RwBOKOSf4vH5fIqICD5tZGSk/H6/JMntdis5OVnFxcWB4zU1NSorK1N6enqoxwEAAGEo5O+gjB8/Xg899JDS0tJ07rnn6l//+pcWL16sW2+9VZLkcDiUm5urBx98UGeddZbcbrfmzJmjlJQUTZw4MdTjAAA6mXC7wLdr165yuVx2jxF2Qh4oS5cu1Zw5c3TnnXfq0KFDSklJ0e233665c+cG1syaNUt1dXWaPn26qqurdckll2jjxo2KiQmPn90CAE69WDXJb0lr1661e5R2iYiM0swZOURKO4U8ULp3767CwkIVFhYed43D4dCCBQu0YMGCUD88AKCTinY0K8KhsLoY2RVRr8uj98rn8xEo7RTyQAEAoCOF08XI8ts9QPjiywIBAIBxCBQAAGAcAgUAABiHQAEAAMYhUAAAgHEIFAAAYBwCBQAAGIdAAQAAxiFQAACAcQgUAABgHH7VPfAjwLe/Agg3BArQifHtrwDCFYECdGJ8+yuAcEWgAD8CfPsrgHDDRbIAAMA4vIMCwEjhdGFvOM0KhAsCBYBRwvXCXgChRaAAMEo4Xtj7k0ivBnc5aPcYQKdCoAAwUjhd2Ovyf2P3CECnw0WyAADAOAQKAAAwDoECAACMQ6AAAADjECgAAMA4BAoAADAOgQIAAIxDoAAAAOMQKAAAwDgECgAAMA6BAgAAjEOgAAAA4xAoAADAOAQKAAAwDoECAACMQ6AAAADjECgAAMA4BAoAADAOgQIAAIxDoAAAAOMQKAAAwDgECgAAMA6BAgAAjEOgAAAA43RIoBw4cEA33XSTevToodjYWJ1//vnasWNH4LhlWZo7d6769Omj2NhYeTwe7dmzpyNGAQAAYSjkgfL1119r5MiR6tKli/7xj3/oo48+0mOPPabTTjstsGbhwoVasmSJVqxYobKyMsXFxSkjI0P19fWhHgcAAIShqFCf8JFHHlFqaqpWrlwZ2Od2uwP/bVmWCgsLdf/992vChAmSpNWrVyspKUnr16/XpEmTQj0SAAAIMyF/B+W1117TkCFDdP3116t379668MIL9fTTTweO7927V5WVlfJ4PIF9LpdLw4YNU2lpaavnbGhoUE1NTdAGAAA6r5AHyueff67ly5frrLPO0qZNm3THHXdo5syZevbZZyVJlZWVkqSkpKSg+yUlJQWOfVdBQYFcLldgS01NDfXYAADAICEPFL/fr4suukgPP/ywLrzwQk2fPl3Tpk3TihUrTvqc+fn58nq9ga2ioiKEEwMAANOEPFD69Omjc845J2jfwIEDtX//fklScnKyJKmqqipoTVVVVeDYdzmdTsXHxwdtAACg8wp5oIwcOVK7d+8O2vfpp5+qb9++kv53wWxycrKKi4sDx2tqalRWVqb09PRQjwMAAMJQyD/Fc9ddd2nEiBF6+OGHdcMNN2j79u166qmn9NRTT0mSHA6HcnNz9eCDD+qss86S2+3WnDlzlJKSookTJ4Z6HAAAEIZCHigXX3yx1q1bp/z8fC1YsEBut1uFhYXKysoKrJk1a5bq6uo0ffp0VVdX65JLLtHGjRsVExMT6nEAAEAYCnmgSNK4ceM0bty44x53OBxasGCBFixY0BEPDwAAwhzfxQMAAIxDoAAAAOMQKAAAwDgECgAAMA6BAgAAjEOgAAAA4xAoAADAOAQKAAAwDoECAACMQ6AAAADjECgAAMA4BAoAADAOgQIAAIxDoAAAAOMQKAAAwDgECgAAMA6BAgAAjBNl9wAIDa/XK5/PZ/cYbXb48GG7RwAAGIxA6QS8Xq+WLF0mf0uz3aMAABASBEon4PP55G9pVkmjW15/jN3jtMlPIr0a3OWg3WMAAAxFoHQiXn+MvrLi7B6jTVz+b+weAQBgMC6SBQAAxiFQAACAcQgUAABgHAIFAAAYh0ABAADGIVAAAIBxCBQAAGAcAgUAABiHQAEAAMYhUAAAgHEIFAAAYBwCBQAAGIdAAQAAxiFQAACAcQgUAABgHAIFAAAYh0ABAADGIVAAAIBxCBQAAGAcAgUAABiHQAEAAMYhUAAAgHEIFAAAYBwCBQAAGKfDA+UPf/iDHA6HcnNzA/vq6+uVnZ2tHj16qFu3bsrMzFRVVVVHjwIAAMJEhwbKu+++qyeffFI/+9nPgvbfddddev311/Xyyy+rpKREBw8e1LXXXtuRowAAgDDSYYFSW1urrKwsPf300zrttNMC+71er5555hktXrxYV1xxhQYPHqyVK1fqnXfe0bZt21o9V0NDg2pqaoI2AADQeXVYoGRnZ+uaa66Rx+MJ2l9eXq6mpqag/QMGDFBaWppKS0tbPVdBQYFcLldgS01N7aixAQCAATokUF588UXt3LlTBQUFxxyrrKxUdHS0EhISgvYnJSWpsrKy1fPl5+fL6/UGtoqKio4YGwAAGCIq1CesqKjQb3/7W23evFkxMTEhOafT6ZTT6QzJuQAAgPlC/g5KeXm5Dh06pIsuukhRUVGKiopSSUmJlixZoqioKCUlJamxsVHV1dVB96uqqlJycnKoxwEAAGEo5O+gXHnllXr//feD9k2ZMkUDBgzQvffeq9TUVHXp0kXFxcXKzMyUJO3evVv79+9Xenp6qMcBAABhKOSB0r17d5133nlB++Li4tSjR4/A/qlTpyovL0+JiYmKj4/XjBkzlJ6eruHDh4d6HAAAEIZCHiht8fjjjysiIkKZmZlqaGhQRkaGnnjiCTtGAQAABjolgfLWW28F3Y6JiVFRUZGKiopOxcMDAIAww3fxAAAA4xAoAADAOAQKAAAwDoECAACMQ6AAAADjECgAAMA4BAoAADAOgQIAAIxDoAAAAOMQKAAAwDgECgAAMA6BAgAAjEOgAAAA4xAoAADAOAQKAAAwDoECAACMQ6AAAADjECgAAMA4BAoAADBOlN0DAADQ2R0+fNjuEdqta9eucrlctj0+gQIAQAeJVZP8lrR27Vq7R2m3iMgozZyRY1ukECgAAHSQaEezIhxSSaNbXn+M3eO0mSuiXpdH75XP5yNQAADorLz+GH1lxdk9Rtv57R6Ai2QBAICBCBQAAGAcAgUAABiHQAEAAMYhUAAAgHEIFAAAYBwCBQAAGIdAAQAAxiFQAACAcQgUAABgHAIFAAAYh0ABAADGIVAAAIBxCBQAAGAcAgUAABiHQAEAAMYhUAAAgHEIFAAAYBwCBQAAGIdAAQAAxiFQAACAcUIeKAUFBbr44ovVvXt39e7dWxMnTtTu3buD1tTX1ys7O1s9evRQt27dlJmZqaqqqlCPAgAAwlTIA6WkpETZ2dnatm2bNm/erKamJl111VWqq6sLrLnrrrv0+uuv6+WXX1ZJSYkOHjyoa6+9NtSjAACAMBUV6hNu3Lgx6PaqVavUu3dvlZeX67LLLpPX69UzzzyjNWvW6IorrpAkrVy5UgMHDtS2bds0fPjwUI8EAADCTIdfg+L1eiVJiYmJkqTy8nI1NTXJ4/EE1gwYMEBpaWkqLS1t9RwNDQ2qqakJ2gAAQOfVoYHi9/uVm5urkSNH6rzzzpMkVVZWKjo6WgkJCUFrk5KSVFlZ2ep5CgoK5HK5AltqampHjg0AAGzWoYGSnZ2tDz74QC+++OIPOk9+fr68Xm9gq6ioCNGEAADARCG/BuVbOTk52rBhg7Zu3arTTz89sD85OVmNjY2qrq4OehelqqpKycnJrZ7L6XTK6XR21KgAAMAwIX8HxbIs5eTkaN26ddqyZYvcbnfQ8cGDB6tLly4qLi4O7Nu9e7f279+v9PT0UI8DAADCUMjfQcnOztaaNWv06quvqnv37oHrSlwul2JjY+VyuTR16lTl5eUpMTFR8fHxmjFjhtLT0/kEDwAAkNQBgbJ8+XJJ0qhRo4L2r1y5Urfccosk6fHHH1dERIQyMzPV0NCgjIwMPfHEE6EeBQAAhKmQB4plWd+7JiYmRkVFRSoqKgr1wwMAgE6A7+IBAADGIVAAAIBxCBQAAGAcAgUAABiHQAEAAMYhUAAAgHEIFAAAYBwCBQAAGIdAAQAAxiFQAACAcQgUAABgHAIFAAAYh0ABAADGIVAAAIBxCBQAAGAcAgUAABiHQAEAAMYhUAAAgHEIFAAAYBwCBQAAGIdAAQAAxiFQAACAcaLsHsBEXq9XPp/P7jHa7PDhw3aPAABASBEo3+H1erVk6TL5W5rtHgUAgB8tAuU7fD6f/C3NKml0y+uPsXucNvlJpFeDuxy0ewwAAEKGQDkOrz9GX1lxdo/RJi7/N3aPAABASHGRLAAAMA6BAgAAjEOgAAAA4xAoAADAOAQKAAAwDoECAACMQ6AAAADjECgAAMA4BAoAADAOgQIAAIxDoAAAAOMQKAAAwDgECgAAMA6BAgAAjEOgAAAA4xAoAADAOAQKAAAwDoECAACMY2ugFBUVqV+/foqJidGwYcO0fft2O8cBAACGsC1QXnrpJeXl5WnevHnauXOnBg0apIyMDB06dMiukQAAgCFsC5TFixdr2rRpmjJlis455xytWLFCXbt21Z///Ge7RgIAAIaIsuNBGxsbVV5ervz8/MC+iIgIeTwelZaWHrO+oaFBDQ0Ngdter1eSVFNTE/LZjh49qvr6esU1fa0Wvy/k5+8Izsga1VvM3NGY+dRg5lODmU+NcJxZkuIiGlSveh09elRxcXEhO++3/25blvX9iy0bHDhwwJJkvfPOO0H777nnHmvo0KHHrJ83b54liY2NjY2Nja0TbBUVFd/bCra8g9Je+fn5ysvLC9z2+/06cuSIevToIYfDYeNkraupqVFqaqoqKioUHx9v9zhoA16z8MLrFX54zcJLR71elmXp6NGjSklJ+d61tgRKz549FRkZqaqqqqD9VVVVSk5OPma90+mU0+kM2peQkNCRI4ZEfHw8fxHDDK9ZeOH1Cj+8ZuGlI14vl8vVpnW2XCQbHR2twYMHq7i4OLDP7/eruLhY6enpdowEAAAMYtuPePLy8jR58mQNGTJEQ4cOVWFhoerq6jRlyhS7RgIAAIawLVB+9atf6csvv9TcuXNVWVmpCy64QBs3blRSUpJdI4WM0+nUvHnzjvmxFMzFaxZeeL3CD69ZeDHh9XJYVls+6wMAAHDq8F08AADAOAQKAAAwDoECAACMQ6AAAADjECgAAMA4BEoH2rdvn6ZOnSq3263Y2Fj1799f8+bNU2Njo92j4QQeeughjRgxQl27dg2L31j8Y1RUVKR+/fopJiZGw4YN0/bt2+0eCcexdetWjR8/XikpKXI4HFq/fr3dI+EECgoKdPHFF6t79+7q3bu3Jk6cqN27d9syC4HSgT755BP5/X49+eST+vDDD/X4449rxYoVuu++++weDSfQ2Nio66+/XnfccYfdo6AVL730kvLy8jRv3jzt3LlTgwYNUkZGhg4dOmT3aGhFXV2dBg0apKKiIrtHQRuUlJQoOztb27Zt0+bNm9XU1KSrrrpKdXV1p3wWfg/KKfboo49q+fLl+vzzz+0eBd9j1apVys3NVXV1td2j4P8YNmyYLr74Yi1btkzS/74mIzU1VTNmzNDs2bNtng4n4nA4tG7dOk2cONHuUdBGX375pXr37q2SkhJddtllp/SxeQflFPN6vUpMTLR7DCAsNTY2qry8XB6PJ7AvIiJCHo9HpaWlNk4GdE5er1eSbPl3i0A5hT777DMtXbpUt99+u92jAGHp8OHDamlpOeYrMZKSklRZWWnTVEDn5Pf7lZubq5EjR+q888475Y9PoJyE2bNny+FwnHD75JNPgu5z4MABjRkzRtdff72mTZtm0+Q/XifzmgHAj1l2drY++OADvfjii7Y8vm1fFhjO7r77bt1yyy0nXHPGGWcE/vvgwYMaPXq0RowYoaeeeqqDp0Nr2vuawUw9e/ZUZGSkqqqqgvZXVVUpOTnZpqmAzicnJ0cbNmzQ1q1bdfrpp9syA4FyEnr16qVevXq1ae2BAwc0evRoDR48WCtXrlREBG9a2aE9rxnMFR0drcGDB6u4uDhwoaXf71dxcbFycnLsHQ7oBCzL0owZM7Ru3Tq99dZbcrvdts1CoHSgAwcOaNSoUerbt68WLVqkL7/8MnCM/9sz1/79+3XkyBHt379fLS0t2rVrlyTpzDPPVLdu3ewdDsrLy9PkyZM1ZMgQDR06VIWFhaqrq9OUKVPsHg2tqK2t1WeffRa4vXfvXu3atUuJiYlKS0uzcTK0Jjs7W2vWrNGrr76q7t27B67tcrlcio2NPbXDWOgwK1eutCS1usFckydPbvU1e/PNN+0eDf/f0qVLrbS0NCs6OtoaOnSotW3bNrtHwnG8+eabrf59mjx5st2joRXH+zdr5cqVp3wWfg8KAAAwDhdEAAAA4xAoAADAOAQKAAAwDoECAACMQ6AAAADjECgAAMA4BAoAADAOgQIAAIxDoAAAAOMQKAAAwDgECgAAMM7/A45QOfNR4PKPAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "As we can see on the x-axis in the above images, z-score results in our data having a mean of zero while min-max results in our data spanning values from 0 to +1, with both methods not changing the actual distribution of our data."
      ],
      "metadata": {
        "id": "MV0G5PJ1reJg"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Note that sklearn has handy functions for rescaling data, which saves the min/max and mean/std values as object attributes.\n",
        "\n",
        "*   https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html\n",
        "*   https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html\n",
        "\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "FE9phS-Etmaz"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Train and test data splitting"
      ],
      "metadata": {
        "id": "3FmOzbuewq5J"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "To split our data into train and test sets, we can use random splits or split by years (or some other existing data dimension that reduces the chances of there being autocorrelation in our train/test sets).\n",
        "\n",
        "Note that we would likely need to split our train/test datasets before rescaling it."
      ],
      "metadata": {
        "id": "QLhpa14kuCvG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# helper function for random split\n",
        "def random_split(data, label, split=0.3, seed=0):\n",
        "    \"\"\"\n",
        "    Help splitting data randomly for training and testing.\n",
        "    \"\"\"\n",
        "    np.random.seed(seed)\n",
        "    da_indx = np.random.permutation(data.shape[0])\n",
        "    data  = data[da_indx.astype(int)]\n",
        "    label = label[da_indx.astype(int)]\n",
        "    init_range = int(data.shape[0] * (1 - 0.3))\n",
        "    return (\n",
        "        data[:init_range], label[:init_range],\n",
        "        data[init_range:], label[init_range:]\n",
        "        )"
      ],
      "metadata": {
        "id": "jaiWHBllrPMj"
      },
      "execution_count": 31,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train_X, train_Y, test_X, test_Y = random_split(\n",
        "    ds['tmin'].isel(location=0),\n",
        "    ds['tmax'].isel(location=0), split=0.3, seed=0)"
      ],
      "metadata": {
        "id": "LSA_AsGnutAZ"
      },
      "execution_count": 32,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(train_X.shape, train_Y.shape)\n",
        "print(test_X.shape, test_Y.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qKL2HIorvH5q",
        "outputId": "918bd583-e4b5-41d7-d8d5-27cf0703bf0e"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(511,) (511,)\n",
            "(220,) (220,)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Note that sklearn has helper functions for this preprocessing too!\n",
        "\n",
        "https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html#sklearn.model_selection.train_test_split"
      ],
      "metadata": {
        "id": "TpLiUYHpvfyY"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Label preprocessing\n",
        "\n",
        "Lastly, what if we want to convert our continuous temperature data into discrete classes? We can use integer encoding or one-hot encoding for this.\n",
        "\n",
        "The pandas `cut` method can be leveraged to convert continuous data to discrete classes. Make sure to supply the `labels` attribute so `pd.cut` returns encoded classes.\n",
        "\n",
        "Of course, sklearn has functions to help us with encoding data into classes too.\n",
        "\n",
        "*   https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html#sklearn.preprocessing.OneHotEncoder\n",
        "*   https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelBinarizer.html#sklearn.preprocessing.LabelBinarizer\n",
        "\n"
      ],
      "metadata": {
        "id": "FL-pNJ_Bw0hB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# lets convert our tmax into 10 classes\n",
        "sample_array = ds['tmax'].isel(location=0).values\n",
        "sample_cut, sample_bins = pd.cut(\n",
        "    sample_array, bins=10, labels=range(0,10), retbins=True)"
      ],
      "metadata": {
        "id": "mU3duRwKvcJA"
      },
      "execution_count": 34,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# pd cut outputs our continuous array encoded with integer classes\n",
        "sample_cut"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xwEgeGR-yGJG",
        "outputId": "cf0e7f32-da93-468e-9f55-07e23a0ecb2a"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[3, 0, 1, 1, 0, ..., 2, 1, 2, 2, 2]\n",
              "Length: 731\n",
              "Categories (10, int64): [0 < 1 < 2 < 3 ... 6 < 7 < 8 < 9]"
            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# here are the left side of the bins\n",
        "sample_bins"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UIfrP3_738dJ",
        "outputId": "9256d9e0-4062-4b8a-e939-1836ce11515e"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([-3.55182814,  1.05318194,  5.61259786, 10.17201378, 14.7314297 ,\n",
              "       19.29084562, 23.85026154, 28.40967746, 32.96909338, 37.5285093 ,\n",
              "       42.08792523])"
            ]
          },
          "metadata": {},
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.preprocessing import OneHotEncoder"
      ],
      "metadata": {
        "id": "lAPZSg-SyNYn"
      },
      "execution_count": 37,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# create the object\n",
        "onehotencode = OneHotEncoder()"
      ],
      "metadata": {
        "id": "92oh4MLs2q6d"
      },
      "execution_count": 38,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# reshape the input array to be (samples, features)\n",
        "sample_onehot = onehotencode.fit_transform(X=sample_cut.reshape(-1,1))"
      ],
      "metadata": {
        "id": "THf425-CyUwP"
      },
      "execution_count": 39,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sample_onehot.toarray().shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nHKyIuLe0kqn",
        "outputId": "d941f2c6-a92a-4020-f048-799b858367fb"
      },
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(731, 10)"
            ]
          },
          "metadata": {},
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sample_onehot.toarray()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cHcZupv_5g5-",
        "outputId": "8e878453-21e7-4dce-a138-ca231d451658"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0., 0., 0., ..., 0., 0., 0.],\n",
              "       [1., 0., 0., ..., 0., 0., 0.],\n",
              "       [0., 1., 0., ..., 0., 0., 0.],\n",
              "       ...,\n",
              "       [0., 0., 1., ..., 0., 0., 0.],\n",
              "       [0., 0., 1., ..., 0., 0., 0.],\n",
              "       [0., 0., 1., ..., 0., 0., 0.]])"
            ]
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sample_cut"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fG7OPMeF6HWz",
        "outputId": "e716cd31-0495-426a-a620-4d29147bc790"
      },
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[3, 0, 1, 1, 0, ..., 2, 1, 2, 2, 2]\n",
              "Length: 731\n",
              "Categories (10, int64): [0 < 1 < 2 < 3 ... 6 < 7 < 8 < 9]"
            ]
          },
          "metadata": {},
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "g6xbcG-O6L_5"
      },
      "execution_count": 42,
      "outputs": []
    }
  ]
}