`climpred` example for ROC-AUC for `ai4s2s`

climpred_rocauc.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "307f849d-38a2-4112-8962-d9ba20c5f27d",
   "metadata": {},
   "outputs": [],
   "source": [
    "#!pip install climpred[complete]\n",
    "#!pip install numpy==1.22"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "02c53d21-0091-4a91-b5c6-83ae3e04216b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/aspring/.local/lib/python3.8/site-packages/pandas/compat/_optional.py:161: UserWarning: Pandas requires version '1.3.1' or newer of 'bottleneck' (version '1.2.1' currently installed).\n",
      "  warnings.warn(msg, UserWarning)\n"
     ]
    }
   ],
   "source": [
    "import climpred\n",
    "\n",
    "import xarray as xr\n",
    "\n",
    "#climpred.show_versions()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f140a8b-f83d-4569-b70e-e6e1256245aa",
   "metadata": {},
   "source": [
    "# Prepare inputs for `climpred`"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "af714b81-a3f2-4467-a2a2-5f292e648e4a",
   "metadata": {},
   "source": [
    "## observations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d7d38b5d-a3c0-4d5a-9848-2a687ea04db0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\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-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",
       "  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",
       "  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-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  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:     (latitude: 292, longitude: 278, valid_time: 1113)\n",
       "Coordinates:\n",
       "  * latitude    (latitude) float64 -35.38 -35.12 -34.88 ... 36.88 37.12 37.38\n",
       "  * longitude   (longitude) float64 -17.88 -17.62 -17.38 ... 50.88 51.12 51.38\n",
       "  * valid_time  (valid_time) object 2000-01-17 00:00:00 ... 2021-01-15 00:00:00\n",
       "Data variables:\n",
       "    tp          (valid_time, latitude, longitude) float32 ...</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-a2ef11f3-ffc6-4196-ae1c-d7f487b2c788' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a2ef11f3-ffc6-4196-ae1c-d7f487b2c788' 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'>latitude</span>: 292</li><li><span class='xr-has-index'>longitude</span>: 278</li><li><span class='xr-has-index'>valid_time</span>: 1113</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-dc4946d5-d2fe-4c56-8fe9-f3b42b615963' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dc4946d5-d2fe-4c56-8fe9-f3b42b615963' class='xr-section-summary' >Coordinates: <span>(3)</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'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-35.38 -35.12 ... 37.12 37.38</div><input id='attrs-878a0072-5c5b-42da-b806-42a018610ff4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-878a0072-5c5b-42da-b806-42a018610ff4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77ceee34-c6e4-46d8-84f0-fe0aa9c76da8' class='xr-var-data-in' type='checkbox'><label for='data-77ceee34-c6e4-46d8-84f0-fe0aa9c76da8' 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([-35.375, -35.125, -34.875, ...,  36.875,  37.125,  37.375])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-17.88 -17.62 ... 51.12 51.38</div><input id='attrs-255f61e3-50d5-4b76-8491-7bb6175cfc4a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-255f61e3-50d5-4b76-8491-7bb6175cfc4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e763676-40e5-4733-836b-c30a73388579' class='xr-var-data-in' type='checkbox'><label for='data-6e763676-40e5-4733-836b-c30a73388579' 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([-17.875, -17.625, -17.375, ...,  50.875,  51.125,  51.375])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>valid_time</span></div><div class='xr-var-dims'>(valid_time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-01-17 00:00:00 ... 2021-01-...</div><input id='attrs-451292ab-4a80-4ba6-a7f2-1117a6bd53bd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-451292ab-4a80-4ba6-a7f2-1117a6bd53bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd35fe03-72b5-46fc-a62a-e46153a684b4' class='xr-var-data-in' type='checkbox'><label for='data-cd35fe03-72b5-46fc-a62a-e46153a684b4' 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([cftime.DatetimeProlepticGregorian(2000, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 24, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 31, 0, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeProlepticGregorian(2021, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2021, 1, 8, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2021, 1, 15, 0, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-228a90a1-bc03-4bcb-909a-88e18c478dfd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-228a90a1-bc03-4bcb-909a-88e18c478dfd' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tp</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-20ac00de-30cb-4d32-a99e-d19866679317' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20ac00de-30cb-4d32-a99e-d19866679317' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19e9857e-bdf6-471f-860a-7a554a39f883' class='xr-var-data-in' type='checkbox'><label for='data-19e9857e-bdf6-471f-860a-7a554a39f883' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>convective precipitation rate</dd><dt><span>long_name :</span></dt><dd>Climate Hazards group InfraRed Precipitation with Stations</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>time_step :</span></dt><dd>4_week_accumulation</dd><dt><span>geostatial_lat_min :</span></dt><dd>-50.0</dd><dt><span>geostatial_lat_max :</span></dt><dd>50.0</dd><dt><span>geostatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geostatial_lon_max :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>[90348888 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5f610ae5-7c78-4571-9db6-742dd851aa95' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5f610ae5-7c78-4571-9db6-742dd851aa95' 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>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:     (latitude: 292, longitude: 278, valid_time: 1113)\n",
       "Coordinates:\n",
       "  * latitude    (latitude) float64 -35.38 -35.12 -34.88 ... 36.88 37.12 37.38\n",
       "  * longitude   (longitude) float64 -17.88 -17.62 -17.38 ... 50.88 51.12 51.38\n",
       "  * valid_time  (valid_time) object 2000-01-17 00:00:00 ... 2021-01-15 00:00:00\n",
       "Data variables:\n",
       "    tp          (valid_time, latitude, longitude) float32 ..."
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "obs = xr.open_dataset(\"/data/volume_2/observational/preprocessed/chirps_tp_2000-2020_4weekly_0.25deg_africa.nc\", use_cftime=True)\n",
    "obs = obs.rename({\"__xarray_dataarray_variable__\":\"tp\"}) # metadata missing # dataarray/variable name missing\n",
    "obs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "50b37771-9381-4b9b-bc7c-f8c0d879b81a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7fd6a497e3d0>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "obs.isel(valid_time=-1).to_array().plot(robust=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67ee1b7f-c8a2-42be-8ce3-3c759a5a1e0e",
   "metadata": {},
   "source": [
    "`climpred` observations requires dimension `time`: https://climpred.readthedocs.io/en/stable/setting-up-data.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1a6e265d-4a2c-4ee5-a7fa-53f064280616",
   "metadata": {},
   "outputs": [],
   "source": [
    "obs = obs.rename({\"valid_time\":\"time\"})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a2fd40e2-005c-4dd8-b094-a3328b2c0734",
   "metadata": {},
   "source": [
    "## initialized"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a0325eeb-bed4-44c0-b381-1ede5f7b1813",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\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-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",
       "  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",
       "  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-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  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:      (realization: 11, latitude: 121, longitude: 240,\n",
       "                  valid_time: 1060)\n",
       "Coordinates:\n",
       "  * realization  (realization) int64 0 1 2 3 4 5 6 7 8 9 10\n",
       "  * latitude     (latitude) float64 90.0 88.5 87.0 85.5 ... -87.0 -88.5 -90.0\n",
       "  * longitude    (longitude) float64 0.0 1.5 3.0 4.5 ... 354.0 355.5 357.0 358.5\n",
       "  * valid_time   (valid_time) object 2000-01-17 00:00:00 ... 2020-01-15 00:00:00\n",
       "Data variables:\n",
       "    tp           (valid_time, realization, latitude, longitude) float32 ...</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-f7c5980a-b626-49b5-995d-0bfeabdc82f2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f7c5980a-b626-49b5-995d-0bfeabdc82f2' 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'>realization</span>: 11</li><li><span class='xr-has-index'>latitude</span>: 121</li><li><span class='xr-has-index'>longitude</span>: 240</li><li><span class='xr-has-index'>valid_time</span>: 1060</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-98b7837d-6594-4500-88d5-825734b06572' class='xr-section-summary-in' type='checkbox'  checked><label for='section-98b7837d-6594-4500-88d5-825734b06572' class='xr-section-summary' >Coordinates: <span>(4)</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'>realization</span></div><div class='xr-var-dims'>(realization)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9 10</div><input id='attrs-1bf46222-141a-4ea8-a6e4-97e4abf63772' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1bf46222-141a-4ea8-a6e4-97e4abf63772' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1841ee3d-84dd-4265-8acc-998fef564d01' class='xr-var-data-in' type='checkbox'><label for='data-1841ee3d-84dd-4265-8acc-998fef564d01' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>standard_name :</span></dt><dd>realization</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>90.0 88.5 87.0 ... -88.5 -90.0</div><input id='attrs-e00affa8-dfbb-45a6-a9e4-682a561a822e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e00affa8-dfbb-45a6-a9e4-682a561a822e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6c5b4f5-1960-48ee-8706-1673958de683' class='xr-var-data-in' type='checkbox'><label for='data-b6c5b4f5-1960-48ee-8706-1673958de683' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  88.5,  87. ,  85.5,  84. ,  82.5,  81. ,  79.5,  78. ,  76.5,\n",
       "        75. ,  73.5,  72. ,  70.5,  69. ,  67.5,  66. ,  64.5,  63. ,  61.5,\n",
       "        60. ,  58.5,  57. ,  55.5,  54. ,  52.5,  51. ,  49.5,  48. ,  46.5,\n",
       "        45. ,  43.5,  42. ,  40.5,  39. ,  37.5,  36. ,  34.5,  33. ,  31.5,\n",
       "        30. ,  28.5,  27. ,  25.5,  24. ,  22.5,  21. ,  19.5,  18. ,  16.5,\n",
       "        15. ,  13.5,  12. ,  10.5,   9. ,   7.5,   6. ,   4.5,   3. ,   1.5,\n",
       "         0. ,  -1.5,  -3. ,  -4.5,  -6. ,  -7.5,  -9. , -10.5, -12. , -13.5,\n",
       "       -15. , -16.5, -18. , -19.5, -21. , -22.5, -24. , -25.5, -27. , -28.5,\n",
       "       -30. , -31.5, -33. , -34.5, -36. , -37.5, -39. , -40.5, -42. , -43.5,\n",
       "       -45. , -46.5, -48. , -49.5, -51. , -52.5, -54. , -55.5, -57. , -58.5,\n",
       "       -60. , -61.5, -63. , -64.5, -66. , -67.5, -69. , -70.5, -72. , -73.5,\n",
       "       -75. , -76.5, -78. , -79.5, -81. , -82.5, -84. , -85.5, -87. , -88.5,\n",
       "       -90. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.5 3.0 ... 355.5 357.0 358.5</div><input id='attrs-1099ccdf-0792-4180-ac70-a514f96b2109' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1099ccdf-0792-4180-ac70-a514f96b2109' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34332612-bfa9-4c23-97a6-cbaeca1007d6' class='xr-var-data-in' type='checkbox'><label for='data-34332612-bfa9-4c23-97a6-cbaeca1007d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   1.5,   3. , ..., 355.5, 357. , 358.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>valid_time</span></div><div class='xr-var-dims'>(valid_time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-01-17 00:00:00 ... 2020-01-...</div><input id='attrs-3c406158-11ca-45d3-a13b-ed124965e423' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3c406158-11ca-45d3-a13b-ed124965e423' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfad3953-5209-418e-9e87-92ac7dd084e9' class='xr-var-data-in' type='checkbox'><label for='data-dfad3953-5209-418e-9e87-92ac7dd084e9' 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([cftime.DatetimeProlepticGregorian(2000, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 24, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 31, 0, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 8, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 15, 0, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-653e1625-2d8b-42af-b69b-cef1dca754dc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-653e1625-2d8b-42af-b69b-cef1dca754dc' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tp</span></div><div class='xr-var-dims'>(valid_time, realization, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5c763faf-10a8-44c7-bbc3-4cdb3028171f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c763faf-10a8-44c7-bbc3-4cdb3028171f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2408964-2e54-4a63-9942-bf74ade63979' class='xr-var-data-in' type='checkbox'><label for='data-d2408964-2e54-4a63-9942-bf74ade63979' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>228228</dd><dt><span>GRIB_dataType :</span></dt><dd>pf</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>29040</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>240</dd><dt><span>GRIB_Ny :</span></dt><dd>121</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tp</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>1.5</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>1.5</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>358.5</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Total Precipitation</dd><dt><span>GRIB_shortName :</span></dt><dd>tp</dd><dt><span>GRIB_totalNumber :</span></dt><dd>11</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>long_name :</span></dt><dd>Total Precipitation</dd><dt><span>units :</span></dt><dd>kg m**-2</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>cell_method :</span></dt><dd>lead_time: sum</dd></dl></div><div class='xr-var-data'><pre>[338606400 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0ee642ec-b517-478e-b4f8-20d50f2ff7db' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0ee642ec-b517-478e-b4f8-20d50f2ff7db' 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>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (realization: 11, latitude: 121, longitude: 240,\n",
       "                  valid_time: 1060)\n",
       "Coordinates:\n",
       "  * realization  (realization) int64 0 1 2 3 4 5 6 7 8 9 10\n",
       "  * latitude     (latitude) float64 90.0 88.5 87.0 85.5 ... -87.0 -88.5 -90.0\n",
       "  * longitude    (longitude) float64 0.0 1.5 3.0 4.5 ... 354.0 355.5 357.0 358.5\n",
       "  * valid_time   (valid_time) object 2000-01-17 00:00:00 ... 2020-01-15 00:00:00\n",
       "Data variables:\n",
       "    tp           (valid_time, realization, latitude, longitude) float32 ..."
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "init = xr.open_dataset(\"/data/volume_2/subseasonal/ecmwf/aggregated/hindcast/ecmwf-hindcast-tp-week3456.nc\", use_cftime=True)\n",
    "init = init.rename({\"__xarray_dataarray_variable__\":\"tp\"})\n",
    "init"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "71a6ff10-dc1d-43bd-9675-014e21abf271",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7fd6a4820d30>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "init.isel(realization=0,valid_time=-1).to_array().plot(robust=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f0c6beb-f689-46ef-a5f7-4ac863d2c119",
   "metadata": {},
   "source": [
    "`climpred` requires dimensions `init` as `forecast_reference_time` and `lead` as `forecast_period`: https://climpred.readthedocs.io/en/stable/setting-up-data.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "958e2ab1-7d2b-44c4-a280-60e5f220f712",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "lead = pd.Timedelta(\"14 days\")\n",
    "# drop valid_time which gets recreated by HindcastEnsemble\n",
    "init = init.assign_coords(lead=[lead], init=init.valid_time-lead).swap_dims({\"valid_time\":\"init\"}).drop(\"valid_time\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c864248d-39b8-499a-92f3-b65a007c97e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\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-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",
       "  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",
       "  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-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  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:      (realization: 11, latitude: 121, longitude: 240, init: 1060,\n",
       "                  lead: 1)\n",
       "Coordinates:\n",
       "  * realization  (realization) int64 0 1 2 3 4 5 6 7 8 9 10\n",
       "  * latitude     (latitude) float64 90.0 88.5 87.0 85.5 ... -87.0 -88.5 -90.0\n",
       "  * longitude    (longitude) float64 0.0 1.5 3.0 4.5 ... 354.0 355.5 357.0 358.5\n",
       "  * lead         (lead) timedelta64[ns] 14 days\n",
       "  * init         (init) object 2000-01-03 00:00:00 ... 2020-01-01 00:00:00\n",
       "Data variables:\n",
       "    tp           (init, realization, latitude, longitude) float32 ...</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-4b189cbe-ce68-471d-8267-8f0ee21280ce' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4b189cbe-ce68-471d-8267-8f0ee21280ce' 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'>realization</span>: 11</li><li><span class='xr-has-index'>latitude</span>: 121</li><li><span class='xr-has-index'>longitude</span>: 240</li><li><span class='xr-has-index'>init</span>: 1060</li><li><span class='xr-has-index'>lead</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cd4babff-d668-4020-982b-23bad46bcc25' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cd4babff-d668-4020-982b-23bad46bcc25' class='xr-section-summary' >Coordinates: <span>(5)</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'>realization</span></div><div class='xr-var-dims'>(realization)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9 10</div><input id='attrs-b1e33c77-d724-492e-ba8f-22399d7b73fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1e33c77-d724-492e-ba8f-22399d7b73fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ca21c38-7be6-490e-8bc4-a74ae3eaff40' class='xr-var-data-in' type='checkbox'><label for='data-5ca21c38-7be6-490e-8bc4-a74ae3eaff40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>standard_name :</span></dt><dd>realization</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>90.0 88.5 87.0 ... -88.5 -90.0</div><input id='attrs-b0768eb7-018c-4ceb-a73b-245d34f103ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0768eb7-018c-4ceb-a73b-245d34f103ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2f80564-b879-4ff0-a363-4b09eaaea61d' class='xr-var-data-in' type='checkbox'><label for='data-d2f80564-b879-4ff0-a363-4b09eaaea61d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  88.5,  87. ,  85.5,  84. ,  82.5,  81. ,  79.5,  78. ,  76.5,\n",
       "        75. ,  73.5,  72. ,  70.5,  69. ,  67.5,  66. ,  64.5,  63. ,  61.5,\n",
       "        60. ,  58.5,  57. ,  55.5,  54. ,  52.5,  51. ,  49.5,  48. ,  46.5,\n",
       "        45. ,  43.5,  42. ,  40.5,  39. ,  37.5,  36. ,  34.5,  33. ,  31.5,\n",
       "        30. ,  28.5,  27. ,  25.5,  24. ,  22.5,  21. ,  19.5,  18. ,  16.5,\n",
       "        15. ,  13.5,  12. ,  10.5,   9. ,   7.5,   6. ,   4.5,   3. ,   1.5,\n",
       "         0. ,  -1.5,  -3. ,  -4.5,  -6. ,  -7.5,  -9. , -10.5, -12. , -13.5,\n",
       "       -15. , -16.5, -18. , -19.5, -21. , -22.5, -24. , -25.5, -27. , -28.5,\n",
       "       -30. , -31.5, -33. , -34.5, -36. , -37.5, -39. , -40.5, -42. , -43.5,\n",
       "       -45. , -46.5, -48. , -49.5, -51. , -52.5, -54. , -55.5, -57. , -58.5,\n",
       "       -60. , -61.5, -63. , -64.5, -66. , -67.5, -69. , -70.5, -72. , -73.5,\n",
       "       -75. , -76.5, -78. , -79.5, -81. , -82.5, -84. , -85.5, -87. , -88.5,\n",
       "       -90. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.5 3.0 ... 355.5 357.0 358.5</div><input id='attrs-e4d8699c-ed1c-47f5-9072-effcae1d8082' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4d8699c-ed1c-47f5-9072-effcae1d8082' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-547f2bda-3384-495e-8072-43d84108099f' class='xr-var-data-in' type='checkbox'><label for='data-547f2bda-3384-495e-8072-43d84108099f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   1.5,   3. , ..., 355.5, 357. , 358.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lead</span></div><div class='xr-var-dims'>(lead)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>14 days</div><input id='attrs-7d9b9cab-6ebd-4b2b-bf76-a147fa4e281d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7d9b9cab-6ebd-4b2b-bf76-a147fa4e281d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e06b949-8110-433a-9abd-9f7d655a2a90' class='xr-var-data-in' type='checkbox'><label for='data-5e06b949-8110-433a-9abd-9f7d655a2a90' 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([1209600000000000], dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>init</span></div><div class='xr-var-dims'>(init)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-01-03 00:00:00 ... 2020-01-...</div><input id='attrs-eafa65bc-f35a-4d56-8a87-205e23400cea' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eafa65bc-f35a-4d56-8a87-205e23400cea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe465b95-e1b5-4845-ab53-152d6a282163' class='xr-var-data-in' type='checkbox'><label for='data-fe465b95-e1b5-4845-ab53-152d6a282163' 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([cftime.DatetimeProlepticGregorian(2000, 1, 3, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 10, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeProlepticGregorian(2019, 12, 18, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 12, 25, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ee94401c-26e8-48eb-9680-18a0cb5a70d0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ee94401c-26e8-48eb-9680-18a0cb5a70d0' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tp</span></div><div class='xr-var-dims'>(init, realization, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d3a8662f-633f-4533-aeec-155166d8c90b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3a8662f-633f-4533-aeec-155166d8c90b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4965547b-3ac7-4b04-99ab-6111ec42ccab' class='xr-var-data-in' type='checkbox'><label for='data-4965547b-3ac7-4b04-99ab-6111ec42ccab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>228228</dd><dt><span>GRIB_dataType :</span></dt><dd>pf</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>29040</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>240</dd><dt><span>GRIB_Ny :</span></dt><dd>121</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tp</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>1.5</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>1.5</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>358.5</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Total Precipitation</dd><dt><span>GRIB_shortName :</span></dt><dd>tp</dd><dt><span>GRIB_totalNumber :</span></dt><dd>11</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>long_name :</span></dt><dd>Total Precipitation</dd><dt><span>units :</span></dt><dd>kg m**-2</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>cell_method :</span></dt><dd>lead_time: sum</dd></dl></div><div class='xr-var-data'><pre>[338606400 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-387713d0-3559-4bde-92b9-949a3d6e87b7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-387713d0-3559-4bde-92b9-949a3d6e87b7' 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>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (realization: 11, latitude: 121, longitude: 240, init: 1060,\n",
       "                  lead: 1)\n",
       "Coordinates:\n",
       "  * realization  (realization) int64 0 1 2 3 4 5 6 7 8 9 10\n",
       "  * latitude     (latitude) float64 90.0 88.5 87.0 85.5 ... -87.0 -88.5 -90.0\n",
       "  * longitude    (longitude) float64 0.0 1.5 3.0 4.5 ... 354.0 355.5 357.0 358.5\n",
       "  * lead         (lead) timedelta64[ns] 14 days\n",
       "  * init         (init) object 2000-01-03 00:00:00 ... 2020-01-01 00:00:00\n",
       "Data variables:\n",
       "    tp           (init, realization, latitude, longitude) float32 ..."
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "init "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "53ff14f8-f08e-4f46-8ff7-20aa3ee84926",
   "metadata": {},
   "source": [
    "# select area"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "73337433-68f7-4910-8838-f91c07ac42c6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# subselect africa\n",
    "init = init.sel(longitude=slice(0,52),latitude=slice(38,-36)) #  lat -36,38 should have worked but didnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "89d8bbc6-b86a-4d34-96b8-38d07263a6c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# interpolate on same grid\n",
    "# init = init.interp_like(obs) # all 0.25 deg\n",
    "obs = obs.interp_like(init).astype(\"float32\") # all 1.5 deg"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32bf4edd-19f6-4e92-8b5d-12ef7f573c75",
   "metadata": {},
   "source": [
    "# `climpred.HindcastEnsemble`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7036c41c-695a-42f9-9fab-d9c3f692941c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "970be341-ac1d-4016-b00d-bf38024b8914",
   "metadata": {},
   "source": [
    "## ROC-AUC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "344fe081-bbdd-4da8-a8fe-5b03cc58674c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/aspring/.local/lib/python3.8/site-packages/numpy/lib/nanfunctions.py:1584: RuntimeWarning: All-NaN slice encountered\n",
      "  result = np.apply_along_axis(_nanquantile_1d, axis, a, q,\n"
     ]
    }
   ],
   "source": [
    "group = \"month\"\n",
    "# edges separate drought from no draught\n",
    "model_edges = (\n",
    "    he.get_initialized().squeeze()\n",
    "    .groupby(f\"init.{group}\")\n",
    "    .quantile(q=[1 / 3], dim=[\"init\", \"member\"], skipna=True)\n",
    "    .rename({\"quantile\": \"category_edge\"})\n",
    ")\n",
    "\n",
    "obs_edges = (\n",
    "    he.get_observations().squeeze()\n",
    "    .groupby(f\"time.{group}\")\n",
    "    .quantile(q=[1 / 3], dim=\"time\", skipna=True)\n",
    "    .rename({\"quantile\": \"category_edge\"})\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "e088a551-3aa7-4d80-a35b-9010c98788db",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.plot.facetgrid.FacetGrid at 0x7fd60b719cd0>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 3700x300 with 13 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "obs_edges.to_array().plot(col=\"month\",robust=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "d78b36ed-8bbe-4391-8370-3c5022d7e4bc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.plot.facetgrid.FacetGrid at 0x7fd60e8550a0>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 3700x300 with 13 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model_edges.to_array().plot(col=\"month\",robust=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "c95eb184-1ab0-4dd0-9ea4-a07637a593ea",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/aspring/.local/lib/python3.8/site-packages/climpred/checks.py:202: UserWarning: Did not find dimension \"member\", but renamed dimension realization with CF-complying standard_name \"realization\" to member.\n",
      "  warnings.warn(\n",
      "/home/aspring/.local/lib/python3.8/site-packages/xarray/coding/times.py:360: FutureWarning: Index.ravel returning ndarray is deprecated; in a future version this will return a view on self.\n",
      "  sample = dates.ravel()[0]\n",
      "/home/aspring/.local/lib/python3.8/site-packages/xarray/coding/times.py:360: FutureWarning: Index.ravel returning ndarray is deprecated; in a future version this will return a view on self.\n",
      "  sample = dates.ravel()[0]\n"
     ]
    }
   ],
   "source": [
    "# probabilistic ensemble members to probabilities\n",
    "initialized_p = xr.concat(\n",
    "[\n",
    "    init.groupby(f\"init.{group}\") < model_edges, # lower / drought\n",
    "    init.groupby(f\"init.{group}\") > model_edges # above\n",
    "],\"category\"\n",
    ")\n",
    "hep = climpred.HindcastEnsemble(initialized_p)\n",
    "\n",
    "obs_p = xr.concat(\n",
    "[\n",
    "    obs.groupby(f\"time.{group}\") < obs_edges, # drought\n",
    "    obs.groupby(f\"time.{group}\") > obs_edges\n",
    "],\"category\"\n",
    ")\n",
    "\n",
    "hep = hep.add_observations(obs_p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "a666caca-2964-4f79-9bdb-0553841cd150",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<h4>climpred.HindcastEnsemble</h4>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\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-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",
       "  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",
       "  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-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  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;Initialized Ensemble&gt;\n",
       "Dimensions:        (member: 11, latitude: 50, longitude: 35, lead: 1,\n",
       "                    init: 1060, category_edge: 1, category: 2)\n",
       "Coordinates:\n",
       "  * member         (member) int64 0 1 2 3 4 5 6 7 8 9 10\n",
       "  * latitude       (latitude) float64 37.5 36.0 34.5 33.0 ... -33.0 -34.5 -36.0\n",
       "  * longitude      (longitude) float64 0.0 1.5 3.0 4.5 ... 46.5 48.0 49.5 51.0\n",
       "  * lead           (lead) float64 2.0\n",
       "  * init           (init) object 2000-01-03 00:00:00 ... 2020-01-01 00:00:00\n",
       "  * category_edge  (category_edge) float64 0.3333\n",
       "    month          (init) int64 1 1 1 1 1 2 2 2 2 ... 11 11 11 11 12 12 12 12 1\n",
       "    valid_time     (lead, init) object 2000-01-17 00:00:00 ... 2020-01-15 00:...\n",
       "Dimensions without coordinates: category\n",
       "Data variables:\n",
       "    tp             (category, init, member, latitude, longitude, category_edge) bool ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>Initialized Ensemble</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7d4f64a1-1719-4ff7-923b-077030e3dbc7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7d4f64a1-1719-4ff7-923b-077030e3dbc7' 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'>member</span>: 11</li><li><span class='xr-has-index'>latitude</span>: 50</li><li><span class='xr-has-index'>longitude</span>: 35</li><li><span class='xr-has-index'>lead</span>: 1</li><li><span class='xr-has-index'>init</span>: 1060</li><li><span class='xr-has-index'>category_edge</span>: 1</li><li><span>category</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a05b8bbb-2b3c-438b-a7eb-c699eda7e81c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a05b8bbb-2b3c-438b-a7eb-c699eda7e81c' class='xr-section-summary' >Coordinates: <span>(8)</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'>member</span></div><div class='xr-var-dims'>(member)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9 10</div><input id='attrs-c0fc0851-52b2-4de3-9e24-895b5499aa0e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0fc0851-52b2-4de3-9e24-895b5499aa0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c35ee2f-e08c-4d2b-bb22-fb1d73535486' class='xr-var-data-in' type='checkbox'><label for='data-8c35ee2f-e08c-4d2b-bb22-fb1d73535486' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Member</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>standard_name :</span></dt><dd>realization</dd><dt><span>description :</span></dt><dd>Realization is used to label a dimension that can be thought of as a statistical sample, e.g., labelling members of a model ensemble.</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>37.5 36.0 34.5 ... -34.5 -36.0</div><input id='attrs-b9a714e5-5019-4d84-9a76-021efbb4e6b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9a714e5-5019-4d84-9a76-021efbb4e6b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0bed1a3f-4e70-49eb-9690-2831915ee5c2' class='xr-var-data-in' type='checkbox'><label for='data-0bed1a3f-4e70-49eb-9690-2831915ee5c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>amip :</span></dt><dd>latitude</dd><dt><span>description :</span></dt><dd>Latitude is positive northward; its units of degree_north (or equivalent) indicate this explicitly. In a latitude-longitude system defined with respect to a rotated North Pole, the standard name of grid_latitude should be used instead of latitude. Grid latitude is positive in the grid-northward direction, but its units should be plain degree.</dd></dl></div><div class='xr-var-data'><pre>array([ 37.5,  36. ,  34.5,  33. ,  31.5,  30. ,  28.5,  27. ,  25.5,  24. ,\n",
       "        22.5,  21. ,  19.5,  18. ,  16.5,  15. ,  13.5,  12. ,  10.5,   9. ,\n",
       "         7.5,   6. ,   4.5,   3. ,   1.5,   0. ,  -1.5,  -3. ,  -4.5,  -6. ,\n",
       "        -7.5,  -9. , -10.5, -12. , -13.5, -15. , -16.5, -18. , -19.5, -21. ,\n",
       "       -22.5, -24. , -25.5, -27. , -28.5, -30. , -31.5, -33. , -34.5, -36. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.5 3.0 4.5 ... 48.0 49.5 51.0</div><input id='attrs-2503c9bb-50b0-4a6d-8d1f-905b2f022b11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2503c9bb-50b0-4a6d-8d1f-905b2f022b11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4c0ee8a-6a9e-4d67-9630-7aebcee86f5e' class='xr-var-data-in' type='checkbox'><label for='data-a4c0ee8a-6a9e-4d67-9630-7aebcee86f5e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>amip :</span></dt><dd>longitude</dd><dt><span>description :</span></dt><dd>Longitude is positive eastward; its units of degree_east (or equivalent) indicate this explicitly. In a latitude-longitude system defined with respect to a rotated North Pole, the standard name of grid_longitude should be used instead of longitude. Grid longitude is positive in the grid-eastward direction, but its units should be plain degree.</dd></dl></div><div class='xr-var-data'><pre>array([ 0. ,  1.5,  3. ,  4.5,  6. ,  7.5,  9. , 10.5, 12. , 13.5, 15. , 16.5,\n",
       "       18. , 19.5, 21. , 22.5, 24. , 25.5, 27. , 28.5, 30. , 31.5, 33. , 34.5,\n",
       "       36. , 37.5, 39. , 40.5, 42. , 43.5, 45. , 46.5, 48. , 49.5, 51. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lead</span></div><div class='xr-var-dims'>(lead)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-97f326cf-6abe-48fc-8908-d251a58e8008' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97f326cf-6abe-48fc-8908-d251a58e8008' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91aa9ce9-8ee5-42a5-ac67-bc9497a3e3a7' class='xr-var-data-in' type='checkbox'><label for='data-91aa9ce9-8ee5-42a5-ac67-bc9497a3e3a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>weeks</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd><dt><span>long_name :</span></dt><dd>Lead</dd><dt><span>description :</span></dt><dd>Forecast period is the time interval between the forecast reference time and the validity time. A period is an interval of time, or the time-period of an oscillation.</dd></dl></div><div class='xr-var-data'><pre>array([2.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>init</span></div><div class='xr-var-dims'>(init)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-01-03 00:00:00 ... 2020-01-...</div><input id='attrs-6cbe3822-baa5-4fed-be21-f50aa813dc64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6cbe3822-baa5-4fed-be21-f50aa813dc64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-377223a6-05d8-4c50-a66f-8736a3b86a4b' class='xr-var-data-in' type='checkbox'><label for='data-377223a6-05d8-4c50-a66f-8736a3b86a4b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd><dt><span>long_name :</span></dt><dd>Initialization</dd><dt><span>description :</span></dt><dd>The forecast reference time in NWP is the &quot;data time&quot;, the time of the analysis from which the forecast was made. It is not the time for which the forecast is valid; the standard name of time should be used for that time.</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeProlepticGregorian(2000, 1, 3, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 10, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeProlepticGregorian(2019, 12, 18, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 12, 25, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>category_edge</span></div><div class='xr-var-dims'>(category_edge)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3333</div><input id='attrs-639282de-dd0b-4768-945d-894d4bd2fd8b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-639282de-dd0b-4768-945d-894d4bd2fd8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6da0a62-4a5b-40b8-8fa3-60a517dd4288' class='xr-var-data-in' type='checkbox'><label for='data-e6da0a62-4a5b-40b8-8fa3-60a517dd4288' 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([0.333333])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>month</span></div><div class='xr-var-dims'>(init)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 1 1 1 1 2 2 ... 11 12 12 12 12 1</div><input id='attrs-44bcb7b5-e3d7-44f9-bb80-f613f39319a8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-44bcb7b5-e3d7-44f9-bb80-f613f39319a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61cc6864-cbe5-440d-bdd8-dd0a9b09dfe8' class='xr-var-data-in' type='checkbox'><label for='data-61cc6864-cbe5-440d-bdd8-dd0a9b09dfe8' 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,  1,  1, ..., 12, 12,  1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>(lead, init)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-01-17 00:00:00 ... 2020-01-...</div><input id='attrs-35c825f9-5b7b-46fa-a453-d41e99a96c38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35c825f9-5b7b-46fa-a453-d41e99a96c38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce002fed-fc32-4130-b430-c20c73d307ca' class='xr-var-data-in' type='checkbox'><label for='data-ce002fed-fc32-4130-b430-c20c73d307ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>validity time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>description :</span></dt><dd>time for which the forecast is valid</dd><dt><span>calculate :</span></dt><dd>init + lead</dd><dt><span>amip :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeProlepticGregorian(2000, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeProlepticGregorian(2000, 1, 24, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeProlepticGregorian(2000, 1, 31, 0, 0, 0, 0, has_year_zero=True),\n",
       "        ...,\n",
       "        cftime.DatetimeProlepticGregorian(2020, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeProlepticGregorian(2020, 1, 8, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeProlepticGregorian(2020, 1, 15, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c3803ea8-b549-41cf-bdd0-32528ae1219f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c3803ea8-b549-41cf-bdd0-32528ae1219f' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tp</span></div><div class='xr-var-dims'>(category, init, member, latitude, longitude, category_edge)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False False False ... True True</div><input id='attrs-facecd5e-d6f7-4def-bde5-714e0e4a881f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-facecd5e-d6f7-4def-bde5-714e0e4a881f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2c2568f-f666-4e90-a2e7-2f7f68b6b1a8' class='xr-var-data-in' type='checkbox'><label for='data-b2c2568f-f666-4e90-a2e7-2f7f68b6b1a8' 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([[[[[[False],\n",
       "           [False],\n",
       "           [False],\n",
       "           ...,\n",
       "           [ True],\n",
       "           [False],\n",
       "           [ True]],\n",
       "\n",
       "          [[False],\n",
       "           [False],\n",
       "           [False],\n",
       "           ...,\n",
       "           [ True],\n",
       "           [ True],\n",
       "           [ True]],\n",
       "\n",
       "          [[False],\n",
       "           [False],\n",
       "           [ True],\n",
       "           ...,\n",
       "...\n",
       "           ...,\n",
       "           [ True],\n",
       "           [ True],\n",
       "           [ True]],\n",
       "\n",
       "          [[False],\n",
       "           [False],\n",
       "           [False],\n",
       "           ...,\n",
       "           [ True],\n",
       "           [ True],\n",
       "           [ True]],\n",
       "\n",
       "          [[False],\n",
       "           [False],\n",
       "           [False],\n",
       "           ...,\n",
       "           [False],\n",
       "           [ True],\n",
       "           [ True]]]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-53cdf861-52ff-4e00-ad8d-66900d3005de' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-53cdf861-52ff-4e00-ad8d-66900d3005de' 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": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\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-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",
       "  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",
       "  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-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  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;Observations&gt;\n",
       "Dimensions:        (time: 1113, latitude: 50, longitude: 35, category_edge: 1,\n",
       "                    category: 2)\n",
       "Coordinates:\n",
       "  * time           (time) object 2000-01-17 00:00:00 ... 2021-01-15 00:00:00\n",
       "  * latitude       (latitude) float64 37.5 36.0 34.5 33.0 ... -33.0 -34.5 -36.0\n",
       "  * longitude      (longitude) float64 0.0 1.5 3.0 4.5 ... 46.5 48.0 49.5 51.0\n",
       "  * category_edge  (category_edge) float64 0.3333\n",
       "    month          (time) int64 1 1 1 2 2 2 2 3 3 3 ... 11 11 12 12 12 12 1 1 1\n",
       "Dimensions without coordinates: category\n",
       "Data variables:\n",
       "    tp             (category, time, latitude, longitude, category_edge) bool ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>Observations</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-bad2ba2e-1cfb-4b38-95a6-486b0daa04f9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bad2ba2e-1cfb-4b38-95a6-486b0daa04f9' 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>: 1113</li><li><span class='xr-has-index'>latitude</span>: 50</li><li><span class='xr-has-index'>longitude</span>: 35</li><li><span class='xr-has-index'>category_edge</span>: 1</li><li><span>category</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-67d52308-1750-4035-8e97-90ce277f6ffb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-67d52308-1750-4035-8e97-90ce277f6ffb' class='xr-section-summary' >Coordinates: <span>(5)</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'>object</div><div class='xr-var-preview xr-preview'>2000-01-17 00:00:00 ... 2021-01-...</div><input id='attrs-93703f37-988f-4d74-b76b-55c112c22eb7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-93703f37-988f-4d74-b76b-55c112c22eb7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3db2510f-d3af-466a-8def-12b70953779f' class='xr-var-data-in' type='checkbox'><label for='data-3db2510f-d3af-466a-8def-12b70953779f' 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([cftime.DatetimeProlepticGregorian(2000, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 24, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 31, 0, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeProlepticGregorian(2021, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2021, 1, 8, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2021, 1, 15, 0, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>37.5 36.0 34.5 ... -34.5 -36.0</div><input id='attrs-f1af217e-431d-4589-9116-8047fe662356' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1af217e-431d-4589-9116-8047fe662356' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cc67466-1547-4cff-b74b-d6bd17285204' class='xr-var-data-in' type='checkbox'><label for='data-2cc67466-1547-4cff-b74b-d6bd17285204' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd></dl></div><div class='xr-var-data'><pre>array([ 37.5,  36. ,  34.5,  33. ,  31.5,  30. ,  28.5,  27. ,  25.5,  24. ,\n",
       "        22.5,  21. ,  19.5,  18. ,  16.5,  15. ,  13.5,  12. ,  10.5,   9. ,\n",
       "         7.5,   6. ,   4.5,   3. ,   1.5,   0. ,  -1.5,  -3. ,  -4.5,  -6. ,\n",
       "        -7.5,  -9. , -10.5, -12. , -13.5, -15. , -16.5, -18. , -19.5, -21. ,\n",
       "       -22.5, -24. , -25.5, -27. , -28.5, -30. , -31.5, -33. , -34.5, -36. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.5 3.0 4.5 ... 48.0 49.5 51.0</div><input id='attrs-0b480e23-e0dc-4cef-b422-68c1c5b34f2c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b480e23-e0dc-4cef-b422-68c1c5b34f2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3b450b9-fec7-4bcc-b5c0-a5803942899a' class='xr-var-data-in' type='checkbox'><label for='data-c3b450b9-fec7-4bcc-b5c0-a5803942899a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([ 0. ,  1.5,  3. ,  4.5,  6. ,  7.5,  9. , 10.5, 12. , 13.5, 15. , 16.5,\n",
       "       18. , 19.5, 21. , 22.5, 24. , 25.5, 27. , 28.5, 30. , 31.5, 33. , 34.5,\n",
       "       36. , 37.5, 39. , 40.5, 42. , 43.5, 45. , 46.5, 48. , 49.5, 51. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>category_edge</span></div><div class='xr-var-dims'>(category_edge)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3333</div><input id='attrs-c92d9177-e10f-45a0-a86f-6bca9cde76a2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c92d9177-e10f-45a0-a86f-6bca9cde76a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-502d0148-fa38-45b9-86ae-34bef60b6c22' class='xr-var-data-in' type='checkbox'><label for='data-502d0148-fa38-45b9-86ae-34bef60b6c22' 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([0.333333])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>month</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 1 1 2 2 2 2 ... 12 12 12 12 1 1 1</div><input id='attrs-fd4bbb2e-0273-4b83-8077-68167a5d279b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fd4bbb2e-0273-4b83-8077-68167a5d279b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2794401a-4874-4df9-a631-6ea02a6d37c8' class='xr-var-data-in' type='checkbox'><label for='data-2794401a-4874-4df9-a631-6ea02a6d37c8' 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, 1, 1, ..., 1, 1, 1])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5cbe0b20-4138-4aa7-936c-7f0bf7dfc642' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5cbe0b20-4138-4aa7-936c-7f0bf7dfc642' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tp</span></div><div class='xr-var-dims'>(category, time, latitude, longitude, category_edge)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False False False ... False False</div><input id='attrs-85bf7476-3731-4238-8dac-ba5ccf175720' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-85bf7476-3731-4238-8dac-ba5ccf175720' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bd76eb3-7a39-47db-8722-1a9f7b3d4902' class='xr-var-data-in' type='checkbox'><label for='data-7bd76eb3-7a39-47db-8722-1a9f7b3d4902' 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([[[[[False],\n",
       "          [False],\n",
       "          [False],\n",
       "          ...,\n",
       "          [False],\n",
       "          [False],\n",
       "          [False]],\n",
       "\n",
       "         [[ True],\n",
       "          [ True],\n",
       "          [ True],\n",
       "          ...,\n",
       "          [False],\n",
       "          [False],\n",
       "          [False]],\n",
       "\n",
       "         [[ True],\n",
       "          [ True],\n",
       "          [ True],\n",
       "          ...,\n",
       "...\n",
       "          ...,\n",
       "          [False],\n",
       "          [False],\n",
       "          [False]],\n",
       "\n",
       "         [[False],\n",
       "          [False],\n",
       "          [False],\n",
       "          ...,\n",
       "          [False],\n",
       "          [False],\n",
       "          [False]],\n",
       "\n",
       "         [[False],\n",
       "          [False],\n",
       "          [False],\n",
       "          ...,\n",
       "          [False],\n",
       "          [False],\n",
       "          [False]]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1e1a5460-e3cd-4824-85c3-ffb693ec6c33' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1e1a5460-e3cd-4824-85c3-ffb693ec6c33' 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": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": []
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hep #.sel(init=slice(\"2000\",\"2004\")) # xarray calls work on both datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "2b813ae3-ee18-4310-81d7-bb2920f28918",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<__array_function__ internals>:180: RuntimeWarning: Converting input from bool to <class 'numpy.uint8'> for compatibility.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 7.18 s, sys: 926 ms, total: 8.11 s\n",
      "Wall time: 8.11 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# https://climpred.readthedocs.io/en/stable/metrics.html?highlight=roc#climpred.metrics._roc\n",
    "# https://xskillscore.readthedocs.io/en/stable/api/xskillscore.roc.html\n",
    "skill = hep.verify(metric='roc', comparison='e2o', dim=[\"category\"], alignment='same_verifs',\n",
    "                  bin_edges=\"continuous\", return_results=\"area\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "6c64643d-fb92-496a-880c-6fd3a42dac1f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\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-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",
       "  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",
       "  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-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  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:        (init: 1060, latitude: 50, longitude: 35)\n",
       "Coordinates:\n",
       "  * init           (init) object 2000-01-03 00:00:00 ... 2020-01-01 00:00:00\n",
       "  * latitude       (latitude) float64 37.5 36.0 34.5 33.0 ... -33.0 -34.5 -36.0\n",
       "  * longitude      (longitude) float64 0.0 1.5 3.0 4.5 ... 46.5 48.0 49.5 51.0\n",
       "    category_edge  float64 0.3333\n",
       "    lead           float64 2.0\n",
       "    month          (init) int64 1 1 1 1 1 2 2 2 2 ... 11 11 11 11 12 12 12 12 1\n",
       "    valid_time     (init) object 2000-01-17 00:00:00 ... 2020-01-15 00:00:00\n",
       "    skill          &lt;U11 &#x27;initialized&#x27;\n",
       "Data variables:\n",
       "    tp             (init, latitude, longitude) float64 0.0 0.0 0.0 ... 0.0 0.0\n",
       "Attributes:\n",
       "    prediction_skill_software:     climpred https://climpred.readthedocs.io/\n",
       "    skill_calculated_by_function:  HindcastEnsemble.verify()\n",
       "    number_of_members:             11\n",
       "    alignment:                     same_verifs\n",
       "    metric:                        roc\n",
       "    comparison:                    e2o\n",
       "    dim:                           [&#x27;category&#x27;]\n",
       "    reference:                     []\n",
       "    bin_edges:                     continuous\n",
       "    return_results:                area</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-25e1bcd7-90de-4669-afa9-aa234a98481b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-25e1bcd7-90de-4669-afa9-aa234a98481b' 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'>init</span>: 1060</li><li><span class='xr-has-index'>latitude</span>: 50</li><li><span class='xr-has-index'>longitude</span>: 35</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-08507405-1ab0-4608-8671-432891e3d7dc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-08507405-1ab0-4608-8671-432891e3d7dc' class='xr-section-summary' >Coordinates: <span>(8)</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'>init</span></div><div class='xr-var-dims'>(init)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-01-03 00:00:00 ... 2020-01-...</div><input id='attrs-2fa1ddea-e7fd-448d-9b40-ccef7e570698' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2fa1ddea-e7fd-448d-9b40-ccef7e570698' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26b21ef4-47bc-4fa0-907f-a24a0b061184' class='xr-var-data-in' type='checkbox'><label for='data-26b21ef4-47bc-4fa0-907f-a24a0b061184' 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([cftime.DatetimeProlepticGregorian(2000, 1, 3, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 10, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeProlepticGregorian(2019, 12, 18, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 12, 25, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>37.5 36.0 34.5 ... -34.5 -36.0</div><input id='attrs-e37a0875-3df7-4e9a-918e-75b93c4456d0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e37a0875-3df7-4e9a-918e-75b93c4456d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d901d279-c64e-4f4e-a7f2-83272ec3edd7' class='xr-var-data-in' type='checkbox'><label for='data-d901d279-c64e-4f4e-a7f2-83272ec3edd7' 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([ 37.5,  36. ,  34.5,  33. ,  31.5,  30. ,  28.5,  27. ,  25.5,  24. ,\n",
       "        22.5,  21. ,  19.5,  18. ,  16.5,  15. ,  13.5,  12. ,  10.5,   9. ,\n",
       "         7.5,   6. ,   4.5,   3. ,   1.5,   0. ,  -1.5,  -3. ,  -4.5,  -6. ,\n",
       "        -7.5,  -9. , -10.5, -12. , -13.5, -15. , -16.5, -18. , -19.5, -21. ,\n",
       "       -22.5, -24. , -25.5, -27. , -28.5, -30. , -31.5, -33. , -34.5, -36. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.5 3.0 4.5 ... 48.0 49.5 51.0</div><input id='attrs-59f46c6d-35ef-4d56-9e76-e72525901824' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-59f46c6d-35ef-4d56-9e76-e72525901824' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6a58761-9c3f-4b92-9f13-45ff6a92dfb8' class='xr-var-data-in' type='checkbox'><label for='data-f6a58761-9c3f-4b92-9f13-45ff6a92dfb8' 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([ 0. ,  1.5,  3. ,  4.5,  6. ,  7.5,  9. , 10.5, 12. , 13.5, 15. , 16.5,\n",
       "       18. , 19.5, 21. , 22.5, 24. , 25.5, 27. , 28.5, 30. , 31.5, 33. , 34.5,\n",
       "       36. , 37.5, 39. , 40.5, 42. , 43.5, 45. , 46.5, 48. , 49.5, 51. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>category_edge</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3333</div><input id='attrs-663ab69e-7f5c-40ab-9116-3fc771e6832e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-663ab69e-7f5c-40ab-9116-3fc771e6832e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2fd4d7f-c80a-4d84-ad0d-d542babc721e' class='xr-var-data-in' type='checkbox'><label for='data-f2fd4d7f-c80a-4d84-ad0d-d542babc721e' 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(0.33333333)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lead</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-552f0ac0-dc2d-4ef6-b407-46a58c017990' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-552f0ac0-dc2d-4ef6-b407-46a58c017990' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb0cf6b5-4d9d-4ee1-b107-416a35e7fd6b' class='xr-var-data-in' type='checkbox'><label for='data-fb0cf6b5-4d9d-4ee1-b107-416a35e7fd6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>weeks</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd><dt><span>long_name :</span></dt><dd>Lead</dd><dt><span>description :</span></dt><dd>Forecast period is the time interval between the forecast reference time and the validity time. A period is an interval of time, or the time-period of an oscillation.</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>month</span></div><div class='xr-var-dims'>(init)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 1 1 1 1 2 2 ... 11 12 12 12 12 1</div><input id='attrs-aaf7f53e-ee2a-4e3a-adc8-2d36fac710b7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aaf7f53e-ee2a-4e3a-adc8-2d36fac710b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98b95ce9-e73d-4137-b3d9-38455ddd353a' class='xr-var-data-in' type='checkbox'><label for='data-98b95ce9-e73d-4137-b3d9-38455ddd353a' 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,  1,  1, ..., 12, 12,  1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>(init)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-01-17 00:00:00 ... 2020-01-...</div><input id='attrs-adadca4e-c520-4bcc-bcc4-eed368f71f6f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-adadca4e-c520-4bcc-bcc4-eed368f71f6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6298f6e-2bec-4dbb-ae51-f3e2bf816ead' class='xr-var-data-in' type='checkbox'><label for='data-e6298f6e-2bec-4dbb-ae51-f3e2bf816ead' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>validity time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>description :</span></dt><dd>time for which the forecast is valid</dd><dt><span>calculate :</span></dt><dd>init + lead</dd><dt><span>amip :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeProlepticGregorian(2000, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 24, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 31, 0, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 8, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 15, 0, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>skill</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U11</div><div class='xr-var-preview xr-preview'>&#x27;initialized&#x27;</div><input id='attrs-981c9ba2-2e6c-4f7c-858a-f870afbeae04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-981c9ba2-2e6c-4f7c-858a-f870afbeae04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6a52dfb-8488-4793-acc2-53a89a7f2adc' class='xr-var-data-in' type='checkbox'><label for='data-d6a52dfb-8488-4793-acc2-53a89a7f2adc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>new dimension prediction skill of initialized and reference forecasts created by .verify() or .bootstrap()</dd><dt><span>documentation :</span></dt><dd>https://climpred.readthedocs.io/en/v2.2.0/reference_forecast.html</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;initialized&#x27;, dtype=&#x27;&lt;U11&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9d7f0a40-8411-4223-94be-8f8f8e6bc85c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9d7f0a40-8411-4223-94be-8f8f8e6bc85c' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tp</span></div><div class='xr-var-dims'>(init, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-d1cd485d-4008-4aa3-af20-18097dfa0dcf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1cd485d-4008-4aa3-af20-18097dfa0dcf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b385e161-6faa-402f-ac0c-fbf145c4a6bc' class='xr-var-data-in' type='checkbox'><label for='data-b385e161-6faa-402f-ac0c-fbf145c4a6bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>None</dd></dl></div><div class='xr-var-data'><pre>array([[[0. , 0. , 0. , ..., 0. , 0. , 0. ],\n",
       "        [0. , 0. , 0. , ..., 1. , 0. , 0. ],\n",
       "        [0. , 0. , 0. , ..., 1. , 1. , 1. ],\n",
       "        ...,\n",
       "        [0. , 0. , 0. , ..., 0. , 0. , 0. ],\n",
       "        [0. , 0. , 0. , ..., 0. , 0. , 0. ],\n",
       "        [0. , 0. , 0. , ..., 0. , 0. , 0. ]],\n",
       "\n",
       "       [[0. , 0. , 0. , ..., 0. , 0. , 0. ],\n",
       "        [0. , 0. , 0. , ..., 1. , 1. , 1. ],\n",
       "        [0. , 0. , 0. , ..., 1. , 0. , 1. ],\n",
       "        ...,\n",
       "        [0. , 0. , 0. , ..., 0. , 0. , 0. ],\n",
       "        [0. , 0. , 0. , ..., 0. , 0. , 0. ],\n",
       "        [0. , 0. , 0. , ..., 0. , 0. , 0. ]],\n",
       "\n",
       "       [[0. , 0. , 0. , ..., 0. , 0. , 0. ],\n",
       "        [0. , 0. , 1. , ..., 0. , 0. , 0. ],\n",
       "        [0. , 1. , 0. , ..., 0. , 0. , 0. ],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [0. , 0. , 0. , ..., 0. , 0. , 0. ],\n",
       "        [0. , 0. , 0. , ..., 0. , 0. , 0. ],\n",
       "        [0. , 0. , 0. , ..., 0. , 0. , 0. ]],\n",
       "\n",
       "       [[0. , 0. , 0. , ..., 0. , 0. , 0. ],\n",
       "        [1. , 1. , 1. , ..., 0. , 1. , 1. ],\n",
       "        [0. , 0. , 0. , ..., 0. , 1. , 1. ],\n",
       "        ...,\n",
       "        [0. , 0. , 0. , ..., 0. , 0. , 0. ],\n",
       "        [0. , 0. , 0. , ..., 0. , 0. , 0. ],\n",
       "        [0. , 0. , 0. , ..., 0. , 0. , 0. ]],\n",
       "\n",
       "       [[0. , 0. , 0. , ..., 0. , 0. , 0. ],\n",
       "        [1. , 0.5, 0.5, ..., 0. , 0. , 1. ],\n",
       "        [0.5, 1. , 0. , ..., 0. , 1. , 0. ],\n",
       "        ...,\n",
       "        [0. , 0. , 0. , ..., 0. , 0. , 0. ],\n",
       "        [0. , 0. , 0. , ..., 0. , 0. , 0. ],\n",
       "        [0. , 0. , 0. , ..., 0. , 0. , 0. ]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-47f43afc-9b88-408b-99cb-4283bb409fd2' class='xr-section-summary-in' type='checkbox'  ><label for='section-47f43afc-9b88-408b-99cb-4283bb409fd2' class='xr-section-summary' >Attributes: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>prediction_skill_software :</span></dt><dd>climpred https://climpred.readthedocs.io/</dd><dt><span>skill_calculated_by_function :</span></dt><dd>HindcastEnsemble.verify()</dd><dt><span>number_of_members :</span></dt><dd>11</dd><dt><span>alignment :</span></dt><dd>same_verifs</dd><dt><span>metric :</span></dt><dd>roc</dd><dt><span>comparison :</span></dt><dd>e2o</dd><dt><span>dim :</span></dt><dd>[&#x27;category&#x27;]</dd><dt><span>reference :</span></dt><dd>[]</dd><dt><span>bin_edges :</span></dt><dd>continuous</dd><dt><span>return_results :</span></dt><dd>area</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:        (init: 1060, latitude: 50, longitude: 35)\n",
       "Coordinates:\n",
       "  * init           (init) object 2000-01-03 00:00:00 ... 2020-01-01 00:00:00\n",
       "  * latitude       (latitude) float64 37.5 36.0 34.5 33.0 ... -33.0 -34.5 -36.0\n",
       "  * longitude      (longitude) float64 0.0 1.5 3.0 4.5 ... 46.5 48.0 49.5 51.0\n",
       "    category_edge  float64 0.3333\n",
       "    lead           float64 2.0\n",
       "    month          (init) int64 1 1 1 1 1 2 2 2 2 ... 11 11 11 11 12 12 12 12 1\n",
       "    valid_time     (init) object 2000-01-17 00:00:00 ... 2020-01-15 00:00:00\n",
       "    skill          <U11 'initialized'\n",
       "Data variables:\n",
       "    tp             (init, latitude, longitude) float64 0.0 0.0 0.0 ... 0.0 0.0\n",
       "Attributes:\n",
       "    prediction_skill_software:     climpred https://climpred.readthedocs.io/\n",
       "    skill_calculated_by_function:  HindcastEnsemble.verify()\n",
       "    number_of_members:             11\n",
       "    alignment:                     same_verifs\n",
       "    metric:                        roc\n",
       "    comparison:                    e2o\n",
       "    dim:                           ['category']\n",
       "    reference:                     []\n",
       "    bin_edges:                     continuous\n",
       "    return_results:                area"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "skill"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "3b266400-dfb5-4be5-a078-f56e1a2a5c4c",
   "metadata": {},
   "outputs": [],
   "source": [
    "group = \"season\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "a7bdfe91-fc21-4e51-99c3-53a888452f97",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.plot.facetgrid.FacetGrid at 0x7fd60afafeb0>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 700x600 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "skill = skill.to_array().groupby(f\"init.{group}\").mean()\n",
    "skill.plot(col=group, col_wrap=2, robust=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "66b5d749-2d98-46a7-9ac7-96263adce06a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.plot.facetgrid.FacetGrid at 0x7fd6086a2340>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAApYAAAJOCAYAAAANn0dIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8li6FKAAAgAElEQVR4nOzdd3xUVdoH8N+kTXogBNIISSihN0NZQAREmq4iKqBgRd1lARUj4CKrhJqliCgKoktTQV1BVlxpWelSpCtFWgIJkBAgvScz9/2Dl+iQ8wzJMJPJhN93P/m4Oc+cOyfD3MnJvc9zjk7TNA1ERERERHfIyd4DICIiIqKagRNLIiIiIrIKTiyJiIiIyCo4sSQiIiIiq+DEkoiIiIisghNLIiIiIrIKTiyJiIiIyCo4sSQiIiIiq+DEkoiIiIisghNLIiIiIrIKTiyJrCQ2NhY6nQ46nQ4uLi4ICAjAfffdh/nz56OoqMjksT179sTYsWNNvr/Z949fpaWlVf1jEFElxcbGol27duL3N128eBFubm5o1qxZVQ6PqEpxYklkRS1btkRKSgqSkpKwdetWDB48GHFxcejatStycnLM9n355ZeRkpJi8uXi4lJFIyciW1u+fDmGDBmC/Px8/PTTT/YeDpFNcGJJFlm9ejVat24NDw8P1KlTBw888ADy8vLK4suWLUPz5s3h7u6OZs2aYeHChSb933zzTURFRcHT0xMNGzbE22+/jZKSkrL40aNH0atXL/j4+MDX1xfR0dE4cOBAWXzNmjVo2bIl9Ho9IiIi8O6775ocPyIiAjNnzsSIESPg4+ODBg0a4JNPPrHRq/E7FxcXBAUFISQkBK1bt8Yrr7yC7du349ixY5g1a5bZvp6enggKCjL5IqpueO5bRtM0LFu2DM888wyGDRuGJUuW2HtIRLahEVXS5cuXNRcXF23evHlaYmKi9ssvv2gfffSRlpOTo2mapn3yySdacHCwtmbNGi0hIUFbs2aN5u/vry1fvrzsGNOmTdN++uknLTExUVu3bp0WGBiozZo1qyzesmVL7emnn9ZOnjypnT59Wvv3v/+tHTlyRNM0TTtw4IDm5OSkTZ06VTt16pS2bNkyzcPDQ1u2bFlZ//DwcM3f31/76KOPtDNnzmhxcXGak5OTdvLkSfHnmjFjhubl5WX2a8eOHWL/yZMna23btlXGBg4cqDVv3rzs+x49emivvfaa+D1RdcRzX+3Wc1/1WfDjjz9qQUFBWmlpqXbs2DHNy8tLy87OrtgLT+RAOLGkSjt48KAGQDt//rwyHhYWpq1atcqkbdq0aVqXLl3EY86ePVuLjo4u+97Hx8fkl9EfDRs2TOvTp49J2/jx47UWLVqUfR8eHq49/fTTZd8bjUatXr162qJFi8QxXL9+XTtz5ozZr/z8fLG/uYnlm2++qXl4eJR9r5pYurq6mvwii4mJEZ+LyB547qtVZGI5bNgwbezYsWXft23bVvv000/FYxI5KiZwUaW1bdsWvXv3RuvWrdGvXz/07dsXTzzxBGrXro2rV68iOTkZL774Il5++eWyPqWlpfDz8yv7fvXq1Zg/fz7Onj2L3NxclJaWwtfXtyweExODl156CZ9//jkeeOABDB48GI0aNQIAnDx5EgMHDjQZU7du3TB//nwYDAY4OzsDANq0aVMW1+l0CAoKQlpamvhz+fv7w9/f/85eHIGmadDpdGYfM3z4cEyaNKns+1q1atlkLESW4rlvmczMTHz77bfYtWtXWdvTTz+NpUuX4qWXXrLZ8xLZA3MsqdKcnZ0RHx+PDRs2oEWLFliwYAGaNm2KxMREGI1GAMCnn36KI0eOlH0dO3YMe/fuBQDs3bsXTz75JAYMGID//ve/OHz4MCZNmoTi4uKy54iNjcXx48fx0EMPYcuWLWjRogXWrl0LQD1J0zSt3DhdXV1NvtfpdGXjU5k5cya8vb3Nfu3cudOi1+zkyZOIjIw0+xg/Pz80bty47CsgIMCi5yKyFZ77llm1ahUKCwvRuXNnuLi4wMXFBW+++Sb27NmDEydOWHxcouqIVyzJIjqdDt26dUO3bt3wzjvvIDw8HGvXrkVMTAxCQ0ORkJCA4cOHK/v+9NNPCA8PN7k6d+HChXKPi4qKQlRUFF5//XU89dRTWLZsGQYNGoQWLVqY/OUPALt370ZUVFTZFQtLjBw5EkOGDDH7mNDQ0Eof97fffsPGjRsxceJES4dGVG3w3K+8JUuW4I033sDzzz9v0v7qq69i6dKlmDt3rsXHJqpuOLGkStu3bx9+/PFH9O3bF/Xq1cO+fftw9epVNG/eHMCNKw6vvvoqfH19MWDAABQVFeHAgQPIyMhATEwMGjdujKSkJHz11Vfo2LEjfvjhh7IrEgBQUFCA8ePH44knnkBkZCQuXryI/fv34/HHHwcAvPHGG+jYsSOmTZuGoUOHYs+ePfjwww/LVZ9WljVuh5WWliI1NRVGoxHXr1/Htm3bMH36dLRr1w7jx4+/o2MT2RvP/co7cuQIDh06hJUrV5Zbv/Kpp57CpEmTEBcXV+4qK5HDsmuGJzmkEydOaP369dPq1q2r6fV6LSoqSluwYIHJY1auXKm1a9dOc3Nz02rXrq3dd9992rffflsWHz9+vFanTh3N29tbGzp0qPbee+9pfn5+mqZpWlFRkfbkk09qYWFhmpubmxYSEqKNGTNGKygoKOu/evVqrUWLFpqrq6vWoEEDbc6cOSbPHx4err333nsmbW3bttUmT55s5Vfjd5MnT9YAaAA0Z2dnzd/fX7v33nu19957TyssLDR5bPfu3bU33nij7HtWhZMj4Lmv9vbbb5sUIP3x+zFjxpgUF/1RWlqa5uzsrK1Zs8ZmYyOqajpNUySoEJFNNWvWDC+99BLGjRtn76EQ0R0aOXIkLl68iP/+97/K74nuJizeIapCaWlpWLFiBU6dOoXevXvbezhEdAdycnKwY8cOfPvtt3jggQfKfU90N2KOJVEV6t+/PzIyMvDBBx+gffv29h4OEd2Bd955BytXrsSgQYMwcuRITJw40eR7orsRb4UTERERkVXwVjgRERERWQUnlkRERERkFZxYEhEREZFVsHjnFkajEZcvX4aPj89t93YmIvvSNA05OTkICQmBk1Pl/07m+U7kWO70nCfb48TyFpcvX0ZYWJi9h0FElZCcnIz69etXuh/PdyLHZOk5XxVKS0vRqb03HnzAC9Pfu27v4VQ5Tixv4ePjA+DGm9bX19fOoyEic7KzsxEWFlZ23lYWz3cix3Kn53xV+Oyj+riYUor5n2Tgtbeuom7duvYeUpXixPIWN2+H+fr68hcNkYOw9DY2z3cix1RdU1dKS0sxc3465kwOwFf/ycGcKU0x+8N0ew+rSjFBgYiIiMgKPvuoPpycgKcG+eCdN+pg4bJMXL161d7DqlKcWBIRERHdoZtXKyeN9YeLiw6d73FH9z95YM6UpvYeWpXirXDBv8/dD08fZ5O2767KW/DtP99A2f5ws1/FPqmFfmJs36EmYqxBs1QxZs6O3nMs6kd3puGXM83GE556q1zb47tHiY9/PmiXGJt/Qd6fONJHfTvm6NUQsU/DWvItnJ/PhYuxVuGXle1Zxe5iH1cngxi7uEtdYGMoLBT73KmG8+eJMaN/sRjTZbtW+rlcM+W/8WufkjdHK/IzfzvwyIevV3osRJXVv/ZLZuMbM/6lbO/8jPoc8x5xUTxWaV5RxQdWxf54tfKmd96ogz6DL2L85Lsn15JXLImIiIjuwK1XK2+6G69acmJJREREdAdUVytvuttyLTmxJCIiIrKQdLXyprvtqiVzLAVTdwyEk4dpPlj/6F/ExxuLnJXt3/3aTuzjnugmDyBczuG6tlWdE5cXWSIfjxzKkb2NxdjO3pb91ZtTos5vzMrzEPu4+ZeKMSmPEgAWN1yjbB/4y/Nin7p+eWKsyYOHlO3FucU4Zz6FtULaLPoQTu6mr0/QHjm3MS9IL8b+/OJOMbbufGtle+P218Q+h8PlBdybzZVfMyKqGuauVt50N+VacmJJZGOq4hwioppCKs65nX2fx1S6T3Z2Nvyw0KLns4WbVyvfjlFfrbzpj1cta/q6lrwVTkRERGSBilytvOluybXkxJKIiIiokm6XW3mruyXXkhNLIiIiokqqzNXKm+6Gq5bMsRQ4eZfAydO0IGfDEXXiPQA456hfSu9GmWKf3HR5IeW6O+RYdqS6vU5wttgn/aIfIj5RL5Deve0psR8AfN7ZsvwZslzj6CQx9u99ncSYs59c9HUuXV309UDHY2KfuJB4MZZQIhefzUrroWzf13612Gd5dj0x9nVKB2W7tRZLdkvXwVlvesWh/9vbxMe39zwvxl7ZOVyMuV5Wv2YJqbXEPs03p4kxANDc+DFOVNUqmlt5q7sh15KfSEREDmzj0Wn2HgLRXceSq5U31fQKcd4KJyIiIqqgyuZW3qqm51pyYklERERUQXdytfKmmpxryYklERERUQXc6dXKm2ryVUvmWAr6R52A3tu0gGb9Jrlowvecuj0jUL3bCQC45MtvyiI5lx9F/kZle7va8u4d+T5ZYizYXY6NrLMLCReDxXjD+ilirLLuWf8PMZbzSx1l+5QnvhL7vLX7MTHWNNz8uDf1mG82fqtG8+aZjZ+LUS8EHLF8lrL9tc4nxGMVzlIX4QDAhUfN7OYk2HImSox1NhNrH35RjNV2y1e2/1Yi7xRzNE/eYWZD0/XK9uwcA2qLvSpOZ7zx9UdfnOooPn5pXlcx5pQhF94F71HvZOSx+YjYxwjAKbKBGCeiqmONq5U31dRcS04siYiquQ0n4+w9BKK7nqWV4JKaWiHOW+FEREREt2HNq5U31cRcS4eZWC5atAht2rSBr68vfH190aVLF2zYsKEsrmkaYmNjERISAg8PD/Ts2RPHjx+344iJiIioJrBWbuWtbl61nDt3rtWOaW86TdM0ew+iIr7//ns4OzujcePGAIAVK1Zgzpw5OHz4MFq2bIlZs2ZhxowZWL58OaKiojB9+nTs2LEDp06dgo9Pxf+6yM7Ohp+fHxp+9hacPU3zI5vWkxcqvvhlQ2W75qxsBgAU9sqRY9c85I4l6r8H/CMzxC4D6ss5e1eKfcXY/040F2O+tdX5ctlJfmIfc/x/kf/OybpfnbNnFF4LAGgYKv8FeC45UIy5XFHnyBnl1Dk0aS8vaB7mJS+Sn1HsqWy/nCv/m2Tly3m7fp6FYszTVb14+vDQn8U+5wrlRcs3XGwhxra1+0zZ7u0kj90S2TkG1I5KQFZWFnx95ddM7P//53vT12fCWW86ttwmJWI//WX5zeAm71MA78vqj1ufL/eZHWe84Wtle3/fF8z225i9zGycyNHcPGctPecttWPHDgx+/H4kH4606sQSAP63Ix/PvWZASor1ahbsyWGuWD788MN48MEHERUVhaioKMyYMQPe3t7Yu3cvNE3D/PnzMWnSJDz22GNo1aoVVqxYgfz8fKxatcreQyciIiIHVlpaCj9fJ6tPKgHAv5YTSkvVhX2OyGEmln9kMBjw1VdfIS8vD126dEFiYiJSU1PRt2/fssfo9Xr06NEDu3fvNnusoqIiZGdnm3wRUc3E852IyLYcamL566+/wtvbG3q9HiNHjsTatWvRokULpKamAgACA01vbwYGBpbFJHFxcfDz8yv7CguTlzwhIsfG852I7oTRJv9ziIzECnOoiWXTpk1x5MgR7N27F3/729/w3HPP4cSJ33MHdTrTS9SappVru9XEiRORlZVV9pWcnGyTsROR/fF8JyJLadBg0IxW/zJq6rWpHZVDrWPp5uZWVrzToUMH7N+/H++//z7efPNNAEBqaiqCg39fzDstLa3cVcxb6fV66PX6cu3GUieg1HTefeJykHicdk+fUbYfOthI7ON2XC4qCu58RYxJRRgZBepCEADQO8n5G8fT5Z9rUJvDYuw/x9oq23V+6vEBgJOrfAKlR8uLe7smqn82F7m+Ak7PypOG/vvlwp4Ta9oo2zOayKfL5YvhCHn4gjL28yr16wQAnv3UBWFpJ8wslmvmb6UCZ/k99eoDm5TtF4v9xT6/ZIWKsUcb/CLGDheri3S+zYgW+wDAe8EHle25RnVRUq6xch/I0vle+7QBLq4GkzaDm1yg4yrX3aHOSflN6bpp/+0HSUTkwBxqYnkrTdNQVFSEyMhIBAUFIT4+Hu3btwcAFBcXY/v27Zg1S72zCZG1Sbv1tPnuvSoeieNyCjqtDlzmzjMqrPomqlq2uG1d026FO8zE8q233sKAAQMQFhaGnJwcfPXVV9i2bRs2btwInU6HsWPHYubMmWjSpAmaNGmCmTNnwtPTE8OGDbP30ImIiIjuCg4zsbxy5QqeeeYZpKSkwM/PD23atMHGjRvRp08fAMCECRNQUFCAUaNGISMjA507d8bmzZsrtYYlERERkcQI6+dDarxiaR9LliwxG9fpdIiNjUVsbGzVDIiIiIiITDjMxLKqjWsbDw9v05fHx7lAfPzF4jrK9ra9Lop9vlneS4wNqn9UjK29qC4GqTND3tXkP63k5yo2s1HO2sgAMdboa3WRjuvhs/IBAZz5RF3QVOeA/HYsFX409wz5Lz2XBvXF2I+b5Zy9U4sXKdvbzfqb2Cfkx+vo3+Yfythf/m1+LdUvLnQu1/Z8n23i43MN5YtPbjqaKRfbvL+zj7I9OOK62Cd9n1z81mbgJTFWy0l9rvx8NVzsMyDkBKYee0SItsNY/yNi3zvltes0XHSmxWNe24Dzr7ZUPj70x3TxWKW15F2znJtHiTHDSSG/FEAfp8FiLN74jRgjIuvRNMBgg80KDbxiSXRnzg2dpGyP/vHuLHLZ2y+uXJs8wbp7+YYots3MzgZg2RaiFfHblNeV7f3/87bVn0uaIJqbVBIRVTecWBIRERFVgC0quGtajqVDLZBORERERNUXr1gKhninwtfHdN49IbV8LtxNh9PV+XwGozx3PzpOncsHmM/nC92oXlT74f/8KPYZ6Sfnw1lskLr5t5I8scvqrGjxNu/+qb+J/eamq/My1057QOxz/hk5j7IkWF7E/aGOA5TtoTiPS09EKGPaGfXi6ACwcupDYgwAxqwyGy5n91T5fWj2D9+BBmVzA59MsUuKv7xQ+86r8uL/V4p9le3rWn0u9vnTzlFirEODZAzdM7Jce0me/O9YGefGN4OTu2kib60W1xG9QZ22UauOt3ispD5yrjPggUZfXLNkiERkZxo0m+RDMseS6C72y3vqnLt+Hz9j1ed5p9U6MbYZc636XFS1Nh6fUanHsziHqPrgrfDb461wIiIiIrIKXrEkIiIiqgCbLDdUsy5Y8oolEREREVkHr1gKXrzwAFy9TBdM/nv99eLji4zdle1Xi+QtJb/KrS3Gnv3LRjF29ul6yvYXfM+LfdofeFqMxTSVi36e8ZELDfr9pi5KeSpkv9jns/XyQu1NH0uRY+5yTBL+H3nshuPyYtSlAFxCQyr9fBLv8/LC+mf+4oqI5bOUsfPPv1np5woclyDGsq6pC3EOX5IXVdeny397/ingvBjr43tM2T7y/ECxj5+P/DqdvKZ+zxvyi8Q+leHVJBPOnqYLz49utF18/PCVl8VYp1mviLF6P+ehz/fTy7W7nJE3UgCADVc/Nhunu1P/1urisps2/lq5fF4yTwNssKGj+ZpLR8SJJZHChuT3K/X4TQVytXOfruUnEndi15pxYuzx3XJlNRERka1xYklERERUAbZbbkhn9ePaC3MsiYiIiMgqeMWSiIiI6DY02KaC21jDkiw5sRRcK/CEi5NpMv/RwjDx8XqnUmX7yOCtYp/eHuqdUABg+rVAMZaYW0fZ3vIruWjAJU++zP6Ft7yTy9RUeeeVR5r9omxfeamT2OeB3ofE2N/3PibGGj+r7ueNvcgd+iex393myN7GYsxYT13oomnye0MvRoCT2UFibOv7XZTtBr38XJ5X5PPh4iD1+WUssM5Nl+zLvnDyMN0xZ+aJx8XHfyjXSKFYXWcEAHDJEHalWmPulSZSS3okQIyFbcxEv+jJYnzTwSm2GFKl9Pd/Wdmuq6v+HQcApQbrFOxZyhbFO7Y4pj1xYkkOb8+Xb9h7CGbF7/6HvYdARERUJTixJCIiIqoAgw2KbIw1qHAHYPEOEREREVkJr1gKOtZJgt7b1aQtvdRbfPzZHHUuYkzyELFPkG+2GEve2kCMGdzV7cYAdR4aAJQ6y39DZHwu5466NpD/klp3UZ1LGdpeXsz84EftxVjjU/liTFqwvPRyKvo4DxX7xRu+FmN3m/EdNyvbZ+/tL/YpalAMfZKbMpb+QYTY73pXdXv9NvLC4pn5HmKsgad68fTSvCIki70qLiAso9wC6S3qXBEffzS5lRjzPyHniqZ1Vydg+sSVmB/gfebD1jKgwVgxZqzrZ7ZvdcjZk3R6bp7Z+M8rYqpoJLJWE94zGz82+/VKHe9in1pirMEXiRhQ/1UxvuHiB5V6rgd6zBRjrsnpYuz0O83VATMX8IyFhcDfKzoy69Jgm0IbFu8QUbV1Lkb+Bbnw1PcWHfPU2+pfaN0Gv2vR8YjIOk7MkCebLf9ufqJKZCsOcys8Li4OHTt2hI+PD+rVq4dHH30Up06dMnmMpmmIjY1FSEgIPDw80LNnTxw/ftxOIyYiIqKaxACd1b9qWlW4w0wst2/fjtGjR2Pv3r2Ij49HaWkp+vbti7y835fvmD17NubNm4cPP/wQ+/fvR1BQEPr06YOcnBw7jpyIiIjo7uAwt8I3btxo8v2yZctQr149HDx4EPfddx80TcP8+fMxadIkPPbYjfUQV6xYgcDAQKxatQp//etf7TFsIiIiqiFsURV+45g1J9HSYSaWt8rKygIA+Pv7AwASExORmpqKvn37lj1Gr9ejR48e2L17tzixLCoqQlHR7wuuZmffKKgpNLjBaDAt3ln+TV9ICgLVF7Ndg+WClLRv5QKdsA93i7HEWerFp10y5H9O30QxhLqbz4ux2pfkYgsASJitHoslXK7lykFPDyBfXcBBd8a/rnxFv/CnOmgxSZ2rlX+//EHo7F+obE/6TV5U3SdRvoESOeSSsr1YV4w9Yq/ypPPd2ckIF2fTc7iR51XxOL/KdXIo8pN/DsNAdSHD+Uu+Yp/I1Ub06jtLjG/d/KY8mBqo2WTzuYO/TalckYs594w0/1yHPq7cc/VxGizG/B6TN6qwtisPR4qx9M7FiFhe/v3mv09dxAcAhnZy4V3OIHXhJQA4CTVrpV7yzWFjqf1uHGvQwWhmQwmLj6txYml3mqYhJiYG9957L1q1ulGdmZqaCgAIDDTdsSYwMBAXLlwQjxUXF4cpU6pvNWN1d25cJaspe8uhAU3Nl/ptSH6/cs9FJkY1Ve8C9a9zd88C7jzfzduQNN/eQ7CJ6lD1XdWO/1Oe9N7zNxb2kO04TI7lH40ZMwa//PILvvzyy3Ixnc70rwlN08q1/dHEiRORlZVV9pWcbI3FS4ioOuL5TkR3whbFO7a4vW5PDnfF8pVXXsG6deuwY8cO1K9fv6w9KOjGLbbU1FQEBweXtaelpZW7ivlHer0eej336SW6G/B8JyKyLYe5YqlpGsaMGYNvv/0WW7ZsQWSkaY5IZGQkgoKCEB8fX9ZWXFyM7du3o2tXYbVmIiIiogrQABjgZPWvmralo8NcsRw9ejRWrVqF7777Dj4+PmU5lX5+fvDw8IBOp8PYsWMxc+ZMNGnSBE2aNMHMmTPh6emJYcOGVfr5zrzeGC7OplvchKfLhSzpXYOV7fpMYZscAEApsiIq/08Q+aa6XMGpfQuz/a52Uu/EoOXJBUbOtWrBkJmpjMUbvzH7fOT49BlyrPfjh8XYtouNle0RbVLFPosfXSMfr0C9O1S+qwFfib0q7kpqLTh5mJ6r52qpd9MCbhQ4SJyvu4ox7Zz6HNRnyn/jp5ipj6vd7Qq6bJZzk/f0/afcuYqYK1ix5DNE31HeySV4EtD/P28rYxuPTlO23/fIHPF47h7yv4vmDHQZVn6TAPfrcmWXa4fWYiyzibMYK2xbgEZfqXe3OffkW2I/SW6oHGs65oSyPSmmndinsJ5cUPO3+/8nxj5dpy6I9UiVXwtDkRyj6sFhJpaLFi0CAPTs2dOkfdmyZXj++ecBABMmTEBBQQFGjRqFjIwMdO7cGZs3b4aPj08Vj7bijn6gTrDuY6Yq3FKHFqmfq//XL5vtV1UTyA2n7P9LkIiISGKLqnBesbQTTbt9Kb5Op0NsbCxiY2NtPyAiIiIiMuEwE0siIiIie7JFBTevWN4lkvv6wFl/a36kDyK/ML9gOJE9Rc00vz7d6bcqt6BzZnM5d+r7PfeIsQUDVoixw/kRyvadBXLi1ztrhyrbjYWFAA6K/SrK84wbnPWmC0AfOdxKfHwdM2v156nTrQEAXinqXyDXu8o5my5p8sLUV07UE2NN485gAP6mjGlBAWI/KRfR3MLk3hflO0oeA9ULf5e669DlqfI5igDgmVKkbAeAAHjg2jj1P8C1DrWV7b7ni3F/b3Wqjed1Ocdc/6Gcz3n01whle4/o02KfIyvl91RepJyb6XlMvQD5k09uxdRjj4j93mm1TtmuNc1TtgNASefmyvbgn4qQ0k29ooLnJTkX9cdn5YXf60XKny+ea/Yq20u1EpwRe9mWpulg0Kxf82yLY9oTJ5aVtOGsnOhtTVVZGLMx/dMqey6qfg49OF2MRS5Q/+K3lDSppKpjblLpKI7+WT357bB2XhWP5O5ycqr6D9OWE6274Lo0qSTHwIklERERUQUYbbBKo1bDboXXrOuvRERERGQ3nFgSERER3caNBdKrz5aOCxcuRGRkJNzd3REdHY2dO3eafXxRUREmTZqE8PBw6PV6NGrUCEuXLjV5TGZmJkaPHo3g4GC4u7ujefPmWL9+faXGxVvhNtbf9wWz8Y3Zyyp9TGnBYSc3OckfADYVrqz0c1UlcwspQyf/DRRv+NoGo3FM7q3lFc0Lf60tFvdIRT2NX5NzndJ/iBJjk44/qmz3cZeLMnb2k7dajOheqGwvLS1Eotir4kp8AMMttXrO8lDhXCwXqxTXkWNeKer3sVO2/FFc6rjsGToAACAASURBVGMQY05F8nlx+n31ovK6JHUhCABozhoavavOU6zXLU3sl/arXER0PahE2e51VN48wu+EXB2V08QP3Z6YK3RUvx5JZt5bWgO5gMSQUF+MwVn97/zTNrlAp6SN+rUAAOc8eeFvoxBa9U0vsU9BgxIs2TdbiLrBzVddMJYbpv49YnQGOryofm+0efk3cRz7gpuKsUZjmUtpqa+//hpjx47FwoUL0a1bNyxevBgDBgzAiRMn0KBBA2WfIUOG4MqVK1iyZAkaN26MtLQ0lJb+XjRWXFyMPn36oF69eli9ejXq16+P5OTkSq8Fzoml4ODE0fD19bX3MIiIiKzuzOB/KNs7/VA9CqCkAtbs7Gz4+flV8Wh+Z4sKbqMFx5w3bx5efPFFvPTSSwCA+fPnY9OmTVi0aBHi4uLKPX7jxo3Yvn07EhIS4O/vDwCIiIgweczSpUuRnp6O3bt3w9X1xg5i4eHhlR4bb4UTEREROYji4mIcPHgQffuabonZt29f7N6t3rVv3bp16NChA2bPno3Q0FBERUVh3LhxKCgoMHlMly5dMHr0aAQGBqJVq1aYOXMmDAb5rokKr1gSERER3ZbOJouZ30zGyM7ONmnX6/XQ68uncVy7dg0GgwGBgYEm7YGBgUhNTVU+R0JCAnbt2gV3d3esXbsW165dw6hRo5Cenl6WZ5mQkIAtW7Zg+PDhWL9+Pc6cOYPRo0ejtLQU77zzToV/Hk4siYiIiG7jRvGODW6Fwwn5+fnlbvFPnjzZ7BbVOp3pJFfTtHJtZc9hNEKn02HlypVlzzNv3jw88cQT+Oijj+Dh4QGj0Yh69erhk08+gbOzM6Kjo3H58mXMmTOHE0tr6PPsAri4miaXeyXLuxUU11Ynoru2aiT2KfF1Rc/+s5Qxj0S5CMOpbQt14LcEsY85ZotmLGCuiMgpUp1UDAAuDcwkyucJyfy1fDGgyQR1LFf+9wKADSkfmY3f6navU1Utat8sVl6M2NBSfu2LA9WFAx61C9Hs26nKWMGnHeWBXAYCQrKUoYAPPIVOniiaIL+37cW/XRpcvEyvDOiW1BUfb654xz1NLsLIaqxuN/rKu664psj/ph5XxRDybq1G+n9el+Q+WS3lW16Xk/3FmL5AvopT7wf1+N0y5UKWnCZyDp3vLvlz7uTUSHXAXf65ejQ8J8Z27WwpxpyK1T/zwAflgpR1Z+XCHoOX/L4p9FXHAna6in1KmsvvqSdbHMCkXx5TxtJ6qnfKqRuoPtcB4Nhq9W49AOAFIM9MgRTd4OnpiZSUFJM21dVKAAgICICzs3O5q5NpaWnlrmLeFBwcjNDQUJPJa/PmzaFpGi5evIgmTZogODgYrq6ucHZ2NnlMamoqiouL4XabAuGbOLEkIosdHDBD2X7/PPX2eQDwUx/1H1Ow4HfPjUR+9S4sRFQ9JLz6hjrwatWOwxpsWbxT0YJhNzc3REdHIz4+HoMGDSprj4+Px8CBA5V9unXrhm+++Qa5ubnw9vYGAJw+fRpOTk6oX79+2WNWrVoFo9EIJyensscEBwdXeFIJsHiHiIiIyKHExMTgX//6F5YuXYqTJ0/i9ddfR1JSEkaOHAkAmDhxIp599tmyxw8bNgx16tTBCy+8gBMnTmDHjh0YP348RowYAQ+PG0uQ/e1vf8P169fx2muv4fTp0/jhhx8wc+ZMjB49ulJj4xVLIiIiogqwxZaOlhQEDR06FNevX8fUqVORkpKCVq1aYf369WXLA6WkpCApKans8d7e3oiPj8crr7yCDh06oE6dOhgyZAimT59e9piwsDBs3rwZr7/+Otq0aYPQ0FC89tprePPNNys1Nk4sBakPFcPJ0/QN5HVEXiRUWkw55N/nxT7F90SIsbymdcSYU4mQ3xXUGh7H1AlUxmvp6OfxjPp4encYi9QLUDv//yVzFUNurvp4ZvIoxVxJAPCQF0wujlQvwOx2Wc77KWxtZhxmdB+kXnzZ5YEOYh+X/x2QczDNLO4OVH6Bd2Mr9esOAD6e8qreY9puFGOzj/VVtnufkXO4apKcnfXgrDd9/+V3l+/Na2ZyIt3PyblyUn6j6yn5dXbLNbOAt5v8CylXePvnRGrQCSmH/oflXwn58hro0LXLFmN56erbe26Zct5jZhP5NbzarokYqxumTjq9dk7+PP35kvw50aqznM/p4qT+d1m9T/6caNvighjLLZFvNbqOUS9qrytSL3IOANe6B4ixL/b/SYwBgE5Y/J2ql1GjRmHUqFHK2PLly8u1NWvWDPHx8WaP2aVLF+zde2cL13NiWYNIk8qKkApPbrdzENUMvz2mrvhr+bNcKGTOlvi/38lwyIakSSXRTeefr9wVKgywzTiqGw06GDQbLDdkg2PaE3MsiYiIiMgqeMWSiIiIqAJssY6lLY5pT5xYEhEREd2GBsv29b79cWvWrXCHmlju2LEDc+bMwcGDB5GSkoK1a9fi0UcfLYtrmoYpU6bgk08+QUZGBjp37oyPPvoILVvKi9yKMtyAQtNk6oJAOaHZO1n9xrjwsZzxrtsnJ+w7d5UXkc5KUxfUROXIz+VcR15wWJdXKC4yrvOT19VyERZvLYioLfbRX5MLdEq95NcjO1L9XL6Qfy6nErnoocjfFfc+ri7Skc7xrEZycn1gQoQYM15Sb7FlTuM588SYZ4pcUNVyqFwccDQvTNn+45edMA/qXMq8cOsubNz2NfM5m0fff92qz1dRgfdfLLdA+uVM+b2ld5OLd7LTzSxSL5waodvl1zl5kPxcDVeIIeQFq88Z9+vy51h6azmmuZgp6LhkpshPWFc9pat8vptb+N1cjmjWQfWi9vf1PSb2ea7eLjH21TW5yGXbxnbKdo+WciGTp4tcbJPwH3kzjdy31MWVkUvlCYmPf74Ye73Zj2Ls0/P3ostmdY70nr7y+rSWGBAl53JuOC2sd0vVnkNdf83Ly0Pbtm3x4YcfKuOzZ8/GvHnz8OGHH2L//v0ICgpCnz59kJOTU8UjJSIioprGACebfNUkDnXFcsCAARgwQF1+pmka5s+fj0mTJuGxx25sVbVixQoEBgZi1apV+Otf/1qVQyUiIiK669SYaXJiYiJSU1PRt+/v6/Hp9Xr06NEDu3fvtuPIiIiIyNHdXG7I2l81bbkhh7piac7Nzdhv3YA9MDAQFy7IeWdFRUUoKvp9UensbDk/hogcG893IiLbqjETy5t0OtOZv6Zp5dr+KC4uDlOmTCnXHnBYB+dbdrXIbCofx6DOk0dhgZmN29vIu9A4H5cLYHRB6gTwzCj17gwAkN5KjjV+56gYy+vXWozpr6vH4XEyRexTWl/eDaLET07m12eqixsMevmi+8XeZoqjCuV/S6/L6vY6i+Ur36UAXBpGKGPSrkYAcGZ5B0R8Vj5J3fuq/L7p9czPYqyzj7xTyD9P9lO2u8mbF8H/Fyekt7FuAY89Sef7d003wtfHdLeXXKP87zb1ahcxNjv6cKXH1SToeTmYLb+Pa09LFGP/CFEXaBwtCBf7LDx2nxgryZPHYa5QxDlS/f7JvCoX/Pzw/PtibE5qHzF2pVC9O9rFPLkQa32WuggHALYmyrv8eLVPV7YXFZvZvahUPq9rDxA+eAD0rK2Obegn7/JzutNSMfafPC8xVstd/XspJccX7X54W+x35KFpYqwmqS5bOlZnNWZiGRQUBODGlcvg4OCy9rS0tHJXMf9o4sSJiImJKfs+OzsbYWHq6lkiczacnaNsF7d6dBDnR79htWPZq+r7Jp7vRNUHK79rphozsYyMjERQUBDi4+PRvn17AEBxcTG2b9+OWbPkN69er4deWDaHiGoWnu9EdCcMNljH0hZrY9qTQ00sc3Nzcfbs2bLvExMTceTIEfj7+6NBgwYYO3YsZs6ciSZNmqBJkyaYOXMmPD09MWzYMDuOmoiIiBydBtvctuatcDs6cOAAevXqVfb9zVtazz33HJYvX44JEyagoKAAo0aNKlsgffPmzfDxUefdmHO9LeB0y1re9VvLOTBJl4TcwRJn1PtRzk2S6LPlVYAL/yIkxQ0GikrV/6S+G+SczZLOzcWY5/eHxJihaytl+4XhDcQ++c2KxFjL8GQxdmpfhLI98s19Yp/IzUDiLDkXTlIqr+EuMvSKxv291YsH6+vUEfsFBwkL4QcBz4Srf7aRfpfE4z2VeL8YKywS3od9cuEdr853K/UE2rwuL2r+y3v2vbVtLR9kNIR7Sflz588+vygff6lAztlrsu15MVbPX10sVM8/G+tafa6MfZ8bKR7vm9RoMWZuce8ZIf9Ttu8KbSz28XaRz93tJ6LE2Mx7v1W2bwtsJvZZfL27GDMnLnytsv2Vs0PFPofTQ+VxdFT/mwBApsFT2f6Qp5y0/Mol+ecaWO+IGHvvt97Kdo9mmchNUm9iMTjhAfF4ADA8cI/ZOJGlLJ5Y7ty5E4sXL8a5c+ewevVqhIaG4vPPP0dkZCTuvfdea46xTM+ePaFp8u4POp0OsbGxiI2NtcnzW8KSSaWlpEnl3ezs+Bhle9Np5neAsTdpUmkrhxarJ4jmJpU1nTSptAVpUmkL0qSSHI80qayIxxqpi8wekzcAIk1no1vhNeuKpUWv0Jo1a9CvXz94eHjg8OHDZct35OTkYObMmVYdIBERERE5BosmltOnT8fHH3+MTz/9FK6uv1+R69q1Kw4dkm+dEhERETkqbul4exb9NKdOncJ995Vf78zX1xeZmZl3PCgiIiIicjwWJeUFBwfj7NmziIiIMGnftWsXGjZsaI1x2Z3OeOPrjy4dDUZoW3nx78pK610ixszlZhbF11W2B2+VJ/VO187LA9HLi/Ze+LeclF8orO9eJ17Og3Uukpd6Sa5VS4zp09U5KEV/7iT2Meid0G3wu8pYLXc5p8UtV72gc+HAznD/rvK5j2mPNhVjmRnqhaXnZ8tFOD+GyO/Byx/KCVK+HmbyeJ6QQ3eDDVN7wMXVtGrre/TG4g+sm2Ma4ateVPuRY8+IfdLS5Ty6dg0uirH4U+rimJH1top9Po74ToyZG6POVV5Ef1O6usjv50tykV+xVGgGoFPEeTH2/NvqNVeDX5I3DvjliFwcdSBQ/n227JS6OOq70CSxz+lM9Wc3APSvLef0jmiiLrRxjSoV+yyb97AYAwB0NR+m8jTYJh9Sq2E5lhZNLP/617/itddew9KlS6HT6XD58mXs2bMH48aNwzvvvGPtMVYrO3qrF8EWPSuHVDuuUPUWb/ym0n2iX3bcApiaUvVtqRZh6gr8L82tqS4XY+OpvX+5swEREVVzFk0sJ0yYgKysLPTq1QuFhYW47777oNfrMW7cOIwZM8baYyQiIiKyO1vkQxq4juUNM2bMwKRJk3DixAkYjUa0aNEC3t7y3q9EREREjktnk11ytBpWvHNHCx96enqiQ4cO1hoLERERETmwCk8sH3vssQof9Ntv1Tst0C0K5b9ScsPkS+N+CepE+ezmcpJ/enO5MCZinXo3EADIT/ESY+6pzsr2HDP5Z8bWuWLMy8zuQNmt1TsRFfmrxwAABne5iMg1R359PVPUx3TN09BxxDxlLOD70+LxSpbWE2PSq+viLBdDHEmWdwqp5WX+L1+dUX5NyPb2nlMXijzeSt51ZXYb9ULWABD5w0tirMVkdWHPyw/KebM6g/z+uNZZ3g3MM0n+VZIZ7qFsbxF4Rexz6JBchJZfXy42TOupLoi8aqZA5/HuP4sxc4vkJ4f7K9u7+J5VtgNAXX2EGPv7l3JCvmd7ddFX7nH1GAAAjQE/eSiivxx4Ttne3Mt84errzTcr26UCypt++kZdcFUdabDNbeu79la4n9/vW5hpmoa1a9fCz8+v7IrlwYMHkZmZWakJaHV2dMwY+PpavqsBUXV0YIl6J6K73aZVr/J8pxrn4Cd3d/Ed2UeFJ5bLli0r+/9vvvkmhgwZgo8//hjOzjeu7hgMBowaNYofzkRERFQj2STHsoYtN2TRK7R06VKMGzeubFIJAM7OzoiJicHSpUutNjgiIiIichwWTSxLS0tx8uTJcu0nT56E0SjnhhERERE5ops5lrb4qkksqgp/4YUXMGLECJw9exZ/+tON1YD37t2Lf/7zn3jhhResOkCquMJa8t8JzkVm+tVVJ9ff6Cgn8xfXVseMevmPC6+D8pJU6dHyTkR6P/UPoGXJx/O+IJ+shQFiCJkt1EUK7mlyoZDRzO46ubnCFkUA2oerCyyOxzcR+zjLm5Ig5Fl5hxGqvtYca2e2gEdSd7f8EX7heXXBSqm7shkAUH9rsRgr8ZZ3zSqSawPx6yH1OJyD5fOi7gH53D3qHCHG+nb8Vdl+aFFbsc/PzeUdgL7dLuckt74nUdm+8Zy8483ijp+LsePvy8WLAJCyvPyuPQYPyy7ktPwuVowVnWqnbP+pqVwAlZ/sgw9+FIp0egAh2yszOnJ0Fk0s586di6CgILz33ntISblRKRYcHIwJEybgjTccp8LL3s7/ZbxVj9d+lOPu8EJ0N0gcPtHKR1SvUkA1z5GHppVri1xgvuK6unCkym/zbLSOpQ2OaU8WTSydnJwwYcIETJgwAdnZN5aqYdEOERER1WQGG0wCDTWseOeOFkgHOKEkIiIiohssmlhGRkZCp5Nn2AkJzPOyh4JAy/pdfE7ObWwQkCnGklPUi/M6mcvLzJLzOd0vy8mDuovqWGG4mZwwPzknskGUvDhz0iV1AqbPBfkv1awH88TY8832i7H2nueV7WObyYugRy6Uz70L1xqKMQBAd/NhcizX75eTp/Wn1cmU4RvzxT7JvT3FWOB++XMia3SOGGvql6FsP/prhNgnO1x+j+sMcmzLFnV+oKG9nIvY0ke9+DgAFDSRP5MKYtQbH7y8/CexT08zmzb8NUbO02444wj6eZdfuDwKwOm4Nso+LdpewEM7XlXGiovlTRsMnurXKj/ZB55h8r/z3UADYLRBoY3G4h1g7NixJt+XlJTg8OHD2LhxI8aPt27eIBEREaklvqLOX5QmlXfi+MBYqx+Tah6LJpavvfaasv2jjz7CgQMH7mhARERERNWRbXIsa1bxjlV/mgEDBmDNmjXWPKRFFi5ciMjISLi7uyM6Oho7d+6095CIiIiIajyrTixXr14Nf3913l1V+frrrzF27FhMmjQJhw8fRvfu3TFgwAAkJSXZdVxERETkwDTAqOms/sUcSwDt27c3Kd7RNA2pqam4evUqFi5caLXBWWLevHl48cUX8dJLLwEA5s+fj02bNmHRokWIi4uz69hszbPjdTH2TOTPYuzfyfeIsUEhR8VYTqC6OOBodn2xz6nD8sLfOjNr/eY0Ui9a7ltHLprJTvITY2lZPmLM3VtdEJHzZ7lQ4ukoOQVk+9XGYuyyr3qMvRqdEftsHahO1r9BLg6o/79S9HhwtjK2ff0EM8ekmiQtWi7Q0cu1ekhvIRey6L+VF/f+LVx9scFdfUoDAAqD5GDINvmXsHOxut+VaLmQb/vB5mLM7brcD1OuKps/3txH7LLI5QExdu6FRWKsy4mR8jgEw0P2ibG3fntC7uhmhK64Zt2apapl0cRy4MCBJhNLJycn1K1bFz179kSzZs2sNrjKKi4uxsGDB/H3v//dpL1v377YvXu3nUZFRGQbliy43vY1bqRA5iWOqSkLmluXBh0M1r3RCwDc0hEAYmNjrTwM67h27RoMBgMCA03X3QkMDERqaqqyT1FREYqKfr8SdXPBdyKqeXi+E9GdMNpgMXOthi2QbtHU29nZGWlpaeXar1+/DmdnM7cOqsita2xqmiauuxkXFwc/P7+yr7CwsKoYIhHZAc93IiLbsmhiqWnqPK6ioiK4ubnd0YDuREBAAJydnctdnUxLSyt3FfOmiRMnIisrq+wrOTm5KoZKRHbA852I7oQRTjb5qkkqdSv8gw8+AHDjiuC//vUveHt7l8UMBgN27Nhh1xxLNzc3REdHIz4+HoMGDSprj4+Px8CBA5V99Ho99Hp9VQ3RKqYee0TZnl/YQeyzN1PekaVtnUtibNV5+Zi+7oXKdhcnuQrHo5c64R0AgrzlXR2eDVHnyO7PlX+ulHpy8c7Ok3IRkWT4PXIy/P6McDGWcEzeRadf75PK9sW/3iv2MfjLO6DATNJ9RjO5+OJu4YjnuzltYuR8yVpnS5XtBZ3kj/3iBnKBmv8e+XUzusm38oqC1OPwOS2PI2S1ug8AOBfJhT1XOqkLk4J+lo+nK5UL3i53l+/AXb2q3s546aOLxT5zkvqLsajP/ibGwkeo/wBK2huGJnHq90Bwp/vE4zVolIakc/LuO0R3olITy/feu/EG1jQNH3/8scltbzc3N0RERODjjz+27ggrKSYmBs888ww6dOiALl264JNPPkFSUhJGjqx8VR0REVFNdP4v3CWvsjQABhvkQxrlv20cUqWuvyYmJiIxMRE9evTA0aNHy75PTEzEqVOnsGnTJnTu3NlWY62QoUOHYv78+Zg6dSratWuHHTt2YP369QgPl68oERERETmSym4GU1RUhEmTJiE8PBx6vR6NGjXC0qVLlY/96quvoNPp8Oijj1Z6XBZVhW/dutWSblVm1KhRGDVqlL2HQURERDWGziZV4ZYc8+ZmMAsXLkS3bt2wePFiDBgwACdOnECDBg2UfYYMGYIrV65gyZIlaNy4MdLS0lBaWj5N5MKFCxg3bhy6d+9e6XEBlZhYxsTEYNq0afDy8kJMTIzZx86bN8+iwdCdKcyVc6D2HTKTU+gj5x+5XpaLsdIj8ys0rj9qFybnc+aWyM/Vz0Odm3myQM5f9HeTF093yjSTbxiozh29UqzOqQKAM1frirEfHpXPh+PFQcp2Q4GZU7NAzvvS+cj5lzn3lMLnkHpReyIAcEmVP0MCDso50JqLfPOr7jJ1HrGxQwuxT6mX/P7PiPAQY4E/V/4zKfVP8oLx9bcWizGDh/o8jF3zEmLf/5cyduqI+hc+AAS2uyLGGvmoN7+4kiGvapC+KQT+/S6LcXJsld0MZuPGjdi+fTsSEhLKdkiMiIgo9ziDwYDhw4djypQp2LlzJzIzzeyaIKjwxPLw4cMoKbnxS+vQoUPi8j1ke++0WqdsX3poVhWPhBzNL/Net/cQyIqs/e/ZeDYXT7eG+yNOCZF3q3QcO3rPqdLnq+k0AEbN+hXcN49567q6UrGhJZvBrFu3Dh06dMDs2bPx+eefw8vLC4888gimTZsGD4/f/1ibOnUq6tatixdffPG2t9YlFZ5Y/vH297Zt2yx6MiIiIiJHZYtdcozQIT8/H35+piuZTJ48WbkhjSWbwSQkJGDXrl1wd3fH2rVrce3aNYwaNQrp6elleZY//fQTlixZgiNHjtzRz2PR1HvEiBHIySl/WyQvLw8jRoy4owERERER3U08PT1N1tjNysrCxInmt2ytzGYwRqMROp0OK1euRKdOnfDggw9i3rx5WL58OQoKCpCTk4Onn34an376KQICAu7oZ7GoeGfFihX45z//CR8fH5P2goICfPbZZ2KVEREREZGjsknxzv//19dXzuP/I0s2gwkODkZoaKjJVdHmzZtD0zRcvHgReXl5OH/+PB5++OHfx2W8MTIXFxecOnUKjRo1qtD4KjWxzM7OhqZp0DQNOTk5cHf/vRDAYDBg/fr1qFePi65WR/3/JF/a/vmKvBRTek5t+aBZQrGNu7xA+tUCLzEW7p0hxv58cqiyvUUt9WV/ALiUX0uMGWvJRS7OTupFxbaekwugvu+6UIxJBToA8LiXuiCiZe8PxD5PHnlRjNWbe5vinKfNh4kkRQHye8uol29+uRcLBTC7jwBd293psEw4HTmtDigqX8v8Sd4E4lobNwT8IhfwVBW9k3r8/YfvreKRUHVgyWYw3bp1wzfffIPc3NyyzW1Onz4NJycn1K9fHzqdDr/++qtJn3/84x/IycnB+++/X6ntbys1saxVqxZ0Oh10Oh2ioqLKxXU6HaZMmVKZQ5IVnX/2TTE28uAzVTgSInJEZyfIxUA9ts22+vPF75pk1eP1+/o5qx4PALZulj9XKyvh1Tcs6vfKoeFWGwNZzlbFO5oFx7zdZjATJ07EpUuX8NlnnwEAhg0bhmnTpuGFF17AlClTcO3aNYwfPx4jRowoK95p1aqVyXPUqlVL2X47lZpYbt26FZqm4f7778eaNWvKStaBGzPo8PBwhISEVGoARERERFRxQ4cOxfXr1zF16lSkpKSgVatWJpvBpKSkICkpqezx3t7eiI+PxyuvvIIOHTqgTp06GDJkCKZPn271sVVqYtmjRw8AN3bgCQsLg5NTzdo4nYiIiEhNB6ONqsItYW4zmOXLl5dra9asGeLj4yt8fNUxKsKi4p2bM+L8/HwkJSWh+JYcmjZt2lg0GCIiIiJyXBZNLK9evYoXXngBGzZsUMYNBsMdDYqq1pMRB8XYvlqRYuxQgjqZ1y1RTvLPOiinSng9KxfidK97Ttn+zen2Yh+c9pZjAXIyv6FAvfuIb/1sZTsAPHdMzu2aELVJjK3J8xEiUjvQNSRRjGEecDamuRwnsgGvhCw52LoZDL/+VnWDqYH+d6F8TcNNDzU8UYUjuctpgKGabOlYnVk0sRw7diwyMjKwd+9e9OrVC2vXrsWVK1cwffp0vPtu1e4sQBXzcfTnYmz2iQFVOBKytf9tf8veQ6AaaPv6CWKsf9u3zfaNN35j7eEobcpdUSXPU53Mbfu1vYdw17DdzjucWGLLli347rvv0LFjRzg5OSE8PBx9+vSBr68v4uLi8NBDD1l7nERERERUzVk09c7Lyytbr9Lf3x9Xr14FALRu3RqHDh2y3uiIiIiIqgmjprPJV01i0RXLpk2b4tSpU4iIiEC7du2wePFiRERE4OOPP0ZwcLC1x0g2Ns5fnb8IAO/r5HzZus3Vi3tv85QXEg+qky7GtiTKeUTF+erF2N0ThUXaAXTsf1yMNfFKgLSRNgAAIABJREFUE2NL9t2rbC/dJy8W3+vxn8VYN/cUMfZTofp8MdfnpD5UjP1nQS/cg/fE+KHF8jqFRFQ9zWjzH2X7xow2+MsBOb/7kw53X2oA2Z/FOZYpKTd+8U2ePBn9+vXDF198ATc3N6xYwTcyEdHdZOPRafYeAlGVsMVyQ5oNjmlPFk0shw//fReA9u3b4/z58/jtt9/QoEGDO968nIiIiIgcU4UnljExMRU+6Lx58ywaDBEREVF1ZYt8SFtcBbWnCk8sDx8+XKHH6XQ16wUiIiIiooqp8MRy69atthwHVVOt3JPF2NrLbZXtPcPPiH30TvLC5EODD4ixqdsGKttd8sQueLbeT2Js9Jd/EWO6kGJl+7KXPxD7nCupJ8aCnOWF2hu4qIuZ/pXRQezj41woxtK7qMdORNVbo69niDFvrz8r27OumdkEAgDkjxGygAadTdax1GpYVbjDbPY9Y8YMdO3aFZ6enqhVq5byMUlJSXj44Yfh5eWFgIAAvPrqq+W2myQiIiKyBJcbuj2Linfsobi4GIMHD0aXLl2wZMmScnGDwYCHHnoIdevWxa5du3D9+nU899xz0DQNCxYssMOIiYiIiO4uDjOxnDJlCgBg+fLlyvjmzZtx4sQJJCcnIyTkxn7U7777Lp5//nnMmDEDvr6+VTVUIiIiqoFsUWhT04p3HOZW+O3s2bMHrVq1KptUAkC/fv1QVFSEgwcP2nFkRERERHcHh7lieTupqakIDAw0aatduzbc3NyQmpoq9isqKkJRUVHZ99nZ2TYbY3W1PFsuPPk6Rc7+HhRyVNmeUuwn9unonVDxgf3Bggc+V7af7R4k9nlr2stirPg+Ofe2f+tjyvZNOa3FPv+70lSMPdnyOzG2JlP9+maXuot9fF30YqxuYJYYezjsGKYee0QZe6fVOrFfTcLznWqSyC/lWMaruWj3w9ti/MhDXNS+sjTNNssN1bTiHbtOLGNjY8tucUv279+PDh0qVtqmWupI0zSzSyDFxcXddgxEVDPwfKfq6tzQSZXu02vBLBuMhOjO2HViOWbMGDz55JNmHxMREVGhYwUFBWHfvn0mbRkZGSgpKSl3JfOPJk6caLL4e3Z2NsLCwir0nETkWHi+E9GdsMkC6bxiaT0BAQFW2wKyS5cumDFjBlJSUhAcHAzgRkGPXq9HdHS02E+v10Ovl28tElHNwfOdiMi2HCbHMikpCenp6UhKSoLBYMCRI0cAAI0bN4a3tzf69u2LFi1a4JlnnsGcOXOQnp6OcePG4eWXX2ZF+B0oKHUVYxvTWijblzX+t9jno+t/EmObLzUTYy803KNslxZpB4D0fgViTMs183P9rD6mf3im2OeZyJ/F2OCEB8TYkb2Nle17n3xX7FPHyUuM/Vp7rxj7Lru9GCOimiXzuvw5QZazTY6l1Q9pVw4zsXznnXewYsWKsu/bt7/xS3Lr1q3o2bMnnJ2d8cMPP2DUqFHo1q0bPDw8MGzYMMydO9deQ3YYI6J2ibHlyeOrcCRERFRRWze9KcYiPvtnFY7k7nBj5x0uN3Q7DjOxXL58ubiG5U0NGjTAf//736oZEBERERGZcJiJJREREZE9cYH026sxC6QTERERkX3xiiWhKKWhGOtet50Y25IapWyfmtpb7NPJJ1GMTYi6IMaO5IUr2wuK5SKcdmGXxNihBHmJmaCwdGV7qcGyv8Mu58rFY6FtU5Tt8691Fvv09VUv4A4AxZq3GHup9gExVlUafT1DjPn75pntu3/ATGsPh6jaMJcT2SD0urI9a12Ish0AdJ2qR0XIgB2vibEwT7kg8pMOK8SYPXGB9NvjFUsiIiIisgpesSQiIiKqAC6Qfnu8YklEREREVsErlkRERES3oYELpFcEJ5aE68ZCMfb9hVZirHlAmrJ9Yeg+ZTsAvJ8RIcbCXNUJ6gDwiN9hZfuBjAZin6sF8s4T/ZqfEGMH09SFPSXr64p96o+Vx55yTt62tG6EulDoq5PyNqS/hQWJsY8jvhNjdZzkwp6qYiiQP3L29Vh9m94s3iHHZq5AZ8Q9u8XY8i09lO1fxCwQ+3x5vUvFB2YnP1+RP7+rJY23wiuCE0siIiKyiQ33vS/G2v3wdhWOhKoKJ5ZEREREt6WzydJAGhdIJyIiIiIqj1cs7xKTfnlMjP3JW84BXND6KzE2N7mfsv2r3NpiHz/nfDHW28Mgxppsf0nZbm5R7ZwCdzGWluUjxnqGn1G274WcYznx2+FizD1f/ms0J019TGd53XccvNZIjMXXqy93BPCkd4bZeGXsuxApxjrq1T9AQn/gh3z1v8uaPPnfBAAGV3xoRHbTet1kMRYcVCTGGrtfEWPOwQXK9ncv9Tc7lhD3LLPxqmDu9WhVT/6ZqytbbL9Y065YcmJJdBdxCjpt1+eXJpVEZH0L7llp7yHQXYgTSyIiIqLbsNVyQzWtKpw5lkRERERkFbxiSURERFQBNqkK5wLp5IiC3TLFWCMzC5Nvym0pxvJL1QUaZwsDxT713dQLgt/O482OKNv/fbiD2Me3jlzYU3xALjBCuLo5s5lR7uNVKoZKi+UbA77BOcp2w255fK45Tsirb2YsVeRcST0xNmzvI8r2Mz1WiH0GnLrf7PMNlmuWiKqNohL512pOpocYiyuUC3Hc9SUoLDJT0VeNubuWiLGzGXLhaHVlm513atatcE4siRzQ+dFvCBGpnYgc2ZnB/7D3EIgqhBNLIiIiogqwza3wmnXFksU7RERERGQVvGJJREREdBs2W26IC6RXvfPnz2PatGnYsmULUlNTERISgqeffhqTJk2Cm5tb2eOSkpIwevRobNmyBR4eHhg2bBjmzp1r8hgqr5mrlxg77iYX9vw56Jiyfaivuh0AXk9SF3UAQJYhQYwdzQxVtgeHyDvJuDrLO/lkyjU/2PhrK2W7c0Ch2MeQJb/HJvRYL8ZqSTsRNQdmLHlS7FcdrEmLFmOT2m+o9PE2NF2PAacevJMhEdmds5NcWJfQd6nZvm1/fsraw6kS4Utni7GxXQ6Y7bvqvJkPYzJr4cKFmDNnDlJSUtCyZUvMnz8f3bt3Fx9fVFSEqVOn4osvvkBqairq16+PSZMmYcSIEQCATz/9FJ999hmOHbvxOzw6OhozZ85Ep06dKjUuh5hY/vbbbzAajVi8eDEaN26MY8eO4eWXX0ZeXh7mzp0LADAYDHjooYdQt25d7Nq1C9evX8dzzz0HTdOwYMECO/8E9jem2RYxZkyNqsKRUEUdj3vd3kOocpt6zLf3EIjs5tdHpth7CFVu/4CZ9h5CxWm2WRrIkmN+/fXXGDt2LBYuXIhu3bph8eLFGDBgAE6cOIEGDRoo+wwZMgRXrlzBkiVL0LhxY6SlpaG09PcVTbZt24annnoKXbt2hbu7O2bPno2+ffvi+PHjCA1VX9xRcYiJZf/+/dG//+9LMTRs2BCnTp3CokWLyiaWmzdvxokTJ5CcnIyQkBAAwLvvvovnn38eM2bMgK+vr13GTkRERGRN8+bNw4svvoiXXnoJADB//nxs2rQJixYtQlxcXLnHb9y4Edu3b0dCQgL8/f0BABERESaPWbnSdAvQTz/9FKtXr8aPP/6IZ599tsJjc9jinaysrLIXBwD27NmDVq1alU0qAaBfv34oKirCwYMHxeMUFRUhOzvb5IuIaiae70RkOR2MNvjS/j/H8tbPpqKiIuUoiouLcfDgQfTt29ekvW/fvti9e7eyz7p169ChQwfMnj0boaGhiIqKwrhx41BQUCD+tPn5+SgpKTGZa1WEQ1yxvNW5c+ewYMECvPvuu2VtqampCAw0XZi7du3acHNzQ2pqqnisuLg4TJly991++KPnLtwnxsYE/SjGNmW0Vraf8Tgv9nmi3n4xNu3EQ2IsvJY6lzLlTF2xT/cOJ8VYQbG82HDdwCxl+9VkM4uqG+Tk6w++kvNKC+rLiwcPayw/XXWQlFVLjM2/rl7sfD6AIx2/stGIbo/nO1nL7BMDlO2bO6k3cwCAew6+ZPaYR+SPwGrNOVueSiw8Jv9+AYDXm1t7NLZlq5138vPz4efnZ9I+efJkxMbGlnv8tWvXYDAYys15AgMDxflOQkICdu3aBXd3d6xduxbXrl3DqFGjkJ6ejqVL1bm/f//73xEaGooHHnigUj+PXa9YxsbGQqfTmf06cMA08ffy5cvo378/Bg8eXHYJ+Cadrvw/uKZpyvabJk6ciKysrLKv5ORk6/xwRFSOPSeVAM93IqqePD09TT6bsrKyMHHiRLN9bp3bmJvvGI1G6HQ6rFy5Ep06dcKDDz6IefPmYfny5cqrlrNnz8aXX36Jb7/9Fu7u7pX6Wex6xXLMmDF48knzla9/zAG4fPkyevXqhS5duuCTTz4xeVxQUBD27dtn0paRkYGSkpJys/o/0uv10Ov1lR88ETkcnu9EZCmbLTf0/8esaC1IQEAAnJ2dy12dTEtLE+c7wcHBCA0NNbkq2rx5c2iahosXL6JJkyZl7XPnzsXMmTPxv//9D23atKnsj2PfiWVAQAACAiq2V+ilS5fQq1cvREdHY9myZXByMr3Y2qVLF8yYMQMpKSkIDg4GcKOgR6/XIzpaXhaFiIiIyFG4ubkhOjoa8fHxGDRoUFl7fHw8Bg4cqOzTrVs3fPPNN8jNzYW3tzcA4PTp03ByckL9+vXLHjdnzhxMnz4dmzZtQof/Y+/Ow6Ks2j+Af4dtAFlUZFMRcEEBzQVLETPNRLG3bHXNNLVXs03NXHLJ3TK3Ni0ttWzRcmlz5ZeauS9pmWuICigoirIJDMv8/vB1appzDzAywOD3c11cl557zjOHYZ7h8Dz3fU5ry5aCsoninUuXLqFjx44ICAjA3LlzkZqaipSUFKPZenR0NMLCwtC/f38cOXIEP//8M0aPHo3nn3+eFeFERER0x/R663yV1qhRo/DJJ59g2bJlOHnyJEaOHImEhAQMGzYMwK20n39Wcvft2xdeXl547rnncOLECezcuROvv/46Bg0aBBcXFwC3bn9PnDgRy5YtQ1BQkGGelZWVVaqx2UTxztatWxEXF4e4uDijmTVwK6cAAOzt7bFhwwYMHz4cUVFRRgukk+X23GwkxvIK1W+fMKdssc+A/xssxiIaXhBjv8UHKNud/eXn2nM+WIy1CLgoxgb67VK2v57zlNin4KybGHOQh4iYFsfkYCUw7HB/MRbhI/fbdo5ro9qikBkLzMbPTLz71laVLDrQUdm+OEsudHCrVzVXIaiWZOb2cJK8AQcA4OmyHcvdolevXrh27RqmTZuG5ORkNG3aFBs3bkRgYCAAIDk5GQkJCYbHu7m5ITY2Fi+//DJat24NLy8v9OzZEzNmzDA8ZtGiRdDpdHjqKePfdVIRkcQmJpYDBw7EwIEDi31cvXr18NNPP1l/QFXMyjafiLEFJ6PFGBER0d3EGlXhsHBLx+HDh2P48OHK2IoVK0zamjRpgtjYWPF458+ft2gc/2YTt8KJiIiIqPKziSuWRERERBXNOutYWuMqaMXhxJKIiIioBKy53FBVwYklmbWl571i7NocdSlb12vPiX16Nj8kxpJzPcVYSMBlZXtcirzzjjk1nG6KsREHeynbPd3lra/sm14VY/Wrp4mxc1leYqyyM1eg09j3irK9x19d8X2jLdYaElGpPdj5LTF2voe8Q5fzdSdle17DXLFPbp58vMqu/sL5YqzhTvNVw8kd3Mt6OFSJcWJJRKKPIlaKsZBz0y06pp3fGUuHQ1bGqm+yhmNzq8j7ysKlgYo9rBWOWZFYvENEREREZYJXLImIiIiKoYeVCm2q2BVLTizJLCmPEgCi65xStu+7FiT2+fVyAzGWnafOWQKAeU2/VbZ/7hwl9jl4sZ4Yu65zFWPmFk+/keesbO9X54DYZ/3llmLMlunj5EXhT8W5oUlUfDmOhqjsFXkUiLFcaUO3fDsgx14dgiMca8k5mJWdR5x6UnXlPnf4HMgs59FQZcWJJVEJSZPKO+FkV4gf73+/zI9bGVTV74uqlm0/jxNjQSveLv0BhUnlbX89PbH0x6wEpEnlbVsPTC6nkVQkjXWWG7JwgfTKijmWRERERFQmeMWSiIiIqASskQ5ZxVIsObEkIiIiKgnuvFM8TizJYqey/JTtZy/4in38a18XY9Vd5QXIYzOaKtvNFegUnJWLS8ZEbBJjCQU1le3n8nzEPqdy/MXY475HxBgRWV+LlxaIsRv3yAU6zhflgkLn+9QbHzwR+HsxoxldTJzItnFiSWYdjJklxp7cM7wcR0KVzV/jqsiix0RUrKMf8HwHwHvhJcDiHSIiIiIqE7xiSURERFQCzLEsHq9YEhEREVGZ4BVLstjvuxsq2+/vcELs82gtuZDFWZMvxh52Ve9W0cXjT7HPWOcnxdgLx/uJMXtNkbL9kQD5udzs88RYkq4m6jqpE/2JbEXQ52+JMfejWjGWHSgnkMW/OkrZHvG8XGzjE5sgxgBg03nTvh6PXxIfX5gt78IFdX0iAEC7qoayfQM64uGxO+SOZNP0zLEsFieWROVgUMiuih4CEZWTyU1/qOghEFUYTiyJiIiIiqO3Uo4lt3SsGI8++ijq1asHZ2dn+Pv7o3///rh0yfj2RkJCAh555BFUq1YNtWrVwiuvvAKdTldBIyYiIqIqRa+xwldFf1Nly2Ymlp06dcI333yD06dPY+3atTh79iyeeuopQ7ywsBAPP/wwsrOzsWvXLqxatQpr167Fa6+9VoGjJiIiIrp72Myt8JEj/16cNTAwEOPGjcNjjz2G/Px8ODo6YuvWrThx4gQSExNRu3ZtAMC8efMwcOBAzJw5Ex4eHhU19LvO1f/Ib6vXp/URYz3b7RdjR26qi2OeqX5Q7PNSwx1irFu1eDF2/64Xle3LDkWJfQBgUOvdZuNEVZXPI4liLMzzsrL9TAcHdJ0wQBnzbhgoHu9Gu7pi7Jt35iLx4iqTdkc7+XPH9VtPMZYZKN+izAwE3C9UsUtNZJYe1inesUpBUAWymYnlP6WlpeHLL79Eu3bt4OjoCADYu3cvmjZtaphUAkDXrl2Rl5eHw4cPo1OnTspj5eXlIS/v70lLRkaGdQdfhcS9rq7ojJkzrJxHUjkwYb/y4/luufPPjhNjnberPwuquv0r787vm8gcm7kVDgBjx45FtWrV4OXlhYSEBHz//feGWEpKCnx9jfeorlGjBpycnJCSkiIec/bs2fD09DR8BQQEWG38RFSxeL4T0R3RW+mrCqnQieWUKVOg0WjMfh06dMjw+Ndffx1HjhzB1q1bYW9vj2effRb6f1xD1mhMb1vo9Xpl+23jx49Henq64SsxUb6lQ0S2jec7EZF1Veit8Jdeegm9e/c2+5igoCDDv2vVqoVatWohJCQEoaGhCAgIwL59+xAZGQk/Pz/s32+co3f9+nXk5+ebXMn8J61WC61WXtyXypb2qr0Y++6ve8TYkLA9yvYHt40Q+0Q0vCDG1l9uKcacj6oXTPaL5iTE1vF8tw4flywx9uOfzZTtzq/JP4cuPQ6JsS0bW4uxjqteV7ZPeGSd2Gd6N28x5uedLsbo7sQtHYtXoRPL2xNFS9y+Unk7XyoyMhIzZ85EcnIy/P39AQBbt26FVqtFRERE2QyYSmRT6kdirPF0eUcNIiIism02Ubxz4MABHDhwAO3bt0eNGjUQHx+PyZMno0GDBoiMjAQAREdHIywsDP3798c777yDtLQ0jB49Gs8//zwrwomIiOjOVbF8SGuwieIdFxcXrFu3Dp07d0bjxo0xaNAgNG3aFL/88ovhtpa9vT02bNgAZ2dnREVFoWfPnnjssccwd+7cCh49ERER2bz/7bxjja+qxCauWDZr1gzbtm0r9nH16tXDTz/9VA4jIiIiIqJ/s4mJJdmWkFlyHqVdeKYY0910FGNbLocq23s2l5P8v9nVVh5Hvpm/EH31cLlctf6CJLKmI5vU5ycAeLdNVbZ7BOSKfQ5dlZeB6tDtdzFmJ9ynnH7wYbEPUalY41Z4Fbu9zoklkcLx2SOLfxARVQnn+o2v6CEQVRmcWBIREREVS/O/L2sct+qwieIdIiIiIqr8eMWSiIiIqCSYY1ksTiypXOkS3MRYQLNkMZZfZA9Hu0JrDImIrCgrV73DTmqq+fWF/f1uWGM4RGRlnFhSmTvzhlz4Un/hfIuP+3On0vWd09zipyKiUjg1VT7nQ9dPteiYe6PfsnQ4puRdIIlKh1csi8WJJREREVFJWGUxcxbvEBERERGZ4BVLIiIiohLQ81Z4sTixpHIVP2JURQ+BiMrRycffrOghEFE54sSSiIiIqCR4xbJYzLEkIiIisjGLFi1CcHAwnJ2dERERgV9//dXs4/Py8jBhwgQEBgZCq9WiQYMGWLZsmdFj1q5di7CwMGi1WoSFhWH9+vWlHhevWP6L/n8JFBkZGRU8EiIqzu3zVG9h4hPPdyLbcqfn/B3RwzpV4RZ8K6tXr8aIESOwaNEiREVF4eOPP0ZMTAxOnDiBevXqKfv07NkTly9fxqeffoqGDRviypUrKCgoMMT37t2LXr16Yfr06Xj88cexfv169OzZE7t27UKbNm1KPDaNvkJ+OpVXUlISAgICKnoYRFQKiYmJqFu3bqn78Xwnsk2WnvOW2rZtG7r26YXaM8eU+bF1F5JQ8NFXSE1NLXGfNm3aoFWrVli8eLGhLTQ0FI899hhmz55t8vjNmzejd+/eiI+PR82aNZXH7NWrFzIyMrBp0yZDW7du3VCjRg18/fXXJR4br1j+S+3atZGYmAh3d3dkZmYiICAAiYmJ8PAwv0sEWS4jI4Ovczmoiq+zXq9HZmYmateubVH/f57vGo2mSr5GlRFf5/JRFV/nOz3n75SmEuRY6nQ6HD58GOPGjTNqj46Oxp49e5R9fvjhB7Ru3Rpz5szBypUrUa1aNTz66KOYPn06XFxcANy6YjlypPFmB127dsXChQtLNT5OLP/Fzs7O8FeQRnPrkreHh0eVOSkrM77O5aOqvc6enp4W9/3n+f5PVe01qqz4OpePqvY638k5X5n9OyVHq9VCqzXdEvXq1asoLCyEr6+vUbuvry9SUlKUx46Pj8euXbvg7OyM9evX4+rVqxg+fDjS0tIMeZYpKSmlOqaExTtEREREJaG3wheAmzdvwtPT0+hLdUv7n25f/DIMTa83abutqKgIGo0GX375Je677z50794d8+fPx4oVK5CTk2PRMSW8YklERERUElYp3tHA1dUVycnJRs2qq5UAUKtWLdjb25tcSbxy5YrJFcfb/P39UadOHaOrvaGhodDr9UhKSkKjRo3g5+dXqmNKeMXSDK1WizfffFP84VLZ4OtcPvg6F4+vUfng61w++DrbltspC7e/pJ+bk5MTIiIiEBsba9QeGxuLdu3aKftERUXh0qVLyMrKMrSdOXPGKB0oMjLS5Jhbt24VjylhVTgRERGRGberwutMHVvmx85LSELB0i9LVRW+evVq9O/fHx999BEiIyOxZMkSLF26FMePH0dgYCDGjx+Pixcv4vPPPwcAZGVlITQ0FG3btsXUqVNx9epVDBkyBA888ACWLl0KANizZw86dOiAmTNnokePHvj+++8xceLEUi83xFvhRERERDakV69euHbtGqZNm4bk5GQ0bdoUGzduRGBgIAAgOTkZCQkJhse7ubkhNjYWL7/8Mlq3bg0vLy/07NkTM2bMMDymXbt2WLVqFSZOnIhJkyahQYMGWL16dakmlQCvWBIRERGZZbhiOcVKVyw/Kd0Vy8qMOZZEREREVCZ4K5yIiIioJCrBAumVHa9YEhEREVGZ4BVLIiIiouLoYZ11LGGNY1YcTiyJiIiISsAae4VbZf/xCsRb4URERERUJnjFkoiIiKgkWLxTLF6xJCIiIqIywYklEREREZUJTiyJiIiIqEwwx5KIiIioBFgVXjxesSQiIiKiMsGJJZEFpkyZAo1Gg27dupnE5syZA41Gg44dO5rEkpKS4OTkhCZNmiiPq9FooNFosG/fPqP2vLw8eHl5QaPRYMeOHWXxLRBRKWVnZ2Ps2LGoX78+nJ2d4e3tjY4dO+Knn34yetzx48fRs2dPeHt7Q6vVolGjRpg0aRJu3rxp9LigoCDl+T5ixAjl5wdVAnqNdb6qEE4siSzk7++P7du3Iykpyah9+fLlqFevnrLPihUr0LNnT9y8eRO7d+9WPiYgIADLly83alu/fj3c3NzKZuBEZJFhw4bhu+++wwcffIBTp05h8+bNePLJJ3Ht2jXDY/bt24c2bdpAp9Nhw4YNOHPmDGbNmoXPPvsMXbp0gU6nMzqms7Mzxo4dW97fCllKb6WvKoQTSyrWmjVr0KxZM7i4uMDLywsPPfQQsrOzDfHly5cjNDQUzs7OaNKkCRYtWmTUf+zYsQgJCYGrqyvq16+PSZMmIT8/3xD//fff0alTJ7i7u8PDwwMRERE4dOiQIb527VqEh4dDq9UiKCgI8+bNMzp+UFAQZs2ahUGDBsHd3R316tXDkiVLrPRq/M3HxwfR0dH47LPPDG179uzB1atX8fDDD5s8Xq/XY/ny5ejfvz/69u2LTz/9VHncAQMGYNWqVcjJyTG0LVu2DAMGDCj7b4JIwPPe1I8//og33ngD3bt3R1BQECIiIvDyyy8bzk29Xo/BgwcjNDQU69atw3333YfAwEA8/fTT+PHHH7F3714sWLDA6JhDhw7Fvn37sHHjRquOnai8cGJJZiUnJ6NPnz4YNGgQTp48iR07duCJJ56AXn/rT6ylS5diwoQJmDlzJk6ePIlZs2Zh0qRJRpMtd3d3rFixAidOnMC7776LpUuXGn249uvXD3Xr1sXBgwdx+PBhjBs3Do6OjgCAw4cPo2fPnujduzeOHTuGKVOmYNKkSVixYoXROOfNm4fWrVvjyJEjGD58OF544QWcOnVK/L5mzZoFNzc3s1+//vprsa+dYsUQAAAgAElEQVTPoEGDjMaybNky9OvXD05OTiaP3b59O27evImHHnoI/fv3xzfffIPMzEyTx0VERCA4OBhr164FACQmJmLnzp3o379/seMhKgs879X8/PywceNG5XkLAEePHsWJEycwatQo2NkZ/3pt3rw5HnroIXz99ddG7UFBQRg2bBjGjx+PoqIi8bmpkuDVymJp9Lc/KYgUfvvtN0REROD8+fMIDAw0iderVw9vv/02+vTpY2ibMWMGNm7ciD179iiP+c4772D16tWGqxMeHh54//33lVfk+vXrh9TUVGzdutXQNmbMGGzYsAHHjx8HcOuD+f7778fKlSsB3Lpq4Ofnh6lTp2LYsGHKMaSlpSEtLc3s916nTh24uLgoY1OmTMF3332HgwcPom7duvj2228REREBf39/7Nq1C8uWLcPRo0eN8iH79esHHx8fwy/XFi1a4KWXXsKQIUMMj9FoNFi/fj0uXLiA77//Htu2bcO0adNw9OhRLFu2DDVq1MD27duZf0VWxfNefd7v3LkT/fr1w+XLl9G8eXO0b98eTz31FKKiogAAq1evRu/evXHkyBG0aNHCpP+rr76KpUuXGnItg4KCMGLECPTr1w8NGjTAhx9+iP79+2PEiBEmnx9UsbZt24auvXshYPz4Mj92XlISdJ+vRGpqapkfuyJwuSEyq3nz5ujcuTOaNWuGrl27Ijo6Gk899RRq1KiB1NRUJCYmYvDgwXj++ecNfQoKCuDp6Wn4/5o1a7Bw4ULExcUhKysLBQUF8PDwMMRHjRqFIUOGYOXKlXjooYfw9NNPo0GDBgCAkydPokePHkZjioqKwsKFC1FYWAh7e3sAwD333GOIazQa+Pn54cqVK+L3VbNmTdSsWfPOXhwAjo6OeOaZZ7B8+XLEx8cjJCTEaCy33bhxA+vWrcOuXbsMbc888wyWLVtmNLH8Z2zcuHGIj4/HihUr8N57793xWIlKiue9WocOHRAfH499+/Zh9+7d2LZtG959911MnToVkyZNKra/Xq+HRmNaqOHt7Y3Ro0dj8uTJ6NWrl8XjI+vS6LncUEnwVjiZZW9vj9jYWGzatAlhYWF4//330bhxY5w7d85w22bp0qU4evSo4evPP/80VDnu27cPvXv3RkxMDH766SccOXIEEyZMMEpgnzJlCo4fP46HH34Y27ZtQ1hYGNavXw9A/UGsush++xbabRqNxuxtpbK6FQ7cuh3+7bff4sMPP8SgQYOUj/nqq6+Qm5uLNm3awMHBAQ4ODhg7diz27t2LEydOmDzey8sL//nPfzB48GDk5uYiJiamRGMhKgs872WOjo64//77MW7cOGzduhXTpk3D9OnTodPpEBISAgDKcxoATp06hUaNGiljo0aNQk5OjkmuKpGt4RVLKpZGo0FUVBSioqIwefJkBAYGYv369Rg1ahTq1KmD+Ph49OvXT9l39+7dCAwMxIQJEwxtFy5cMHlcSEgIQkJCMHLkSPTp0wfLly/H448/jrCwMKOrfMCtApmQkBDDVQtLDBs2DD179jT7mDp16pToWOHh4QgPD8cff/yBvn37Kh/z6aef4rXXXsPAgQON2l955RUsW7YMc+fONekzaNAgdO/eHWPHjr2j75XIEjzvSyYsLAwFBQXIzc1FixYt0KRJEyxYsAC9e/c2yrP8/fff8X//93+YPXu28jhubm6YNGkSpkyZgkceeaRUY6ByZI2ri1XsiiUnlmTW/v378fPPPyM6Oho+Pj7Yv38/UlNTERoaCuDWVYdXXnkFHh4eiImJQV5eHg4dOoTr169j1KhRaNiwIRISErBq1Srce++92LBhg+GqBADk5OTg9ddfx1NPPYXg4GAkJSXh4MGDePLJJwEAr732Gu69915Mnz4dvXr1wt69e/HBBx/c8V/1ZXUr/LZt27YhPz8f1atXN4kdPXoUv/32G7788kuT9Sv79OmDCRMmYPbs2SZXX7p164bU1FSj24dE5YHnvVrHjh3Rp08ftG7dGl5eXjhx4gTeeOMNdOrUyXCefvLJJ4iOjsaTTz6J8ePHw8/PD/v378drr72GyMhIjBgxQjz+f//7XyxYsABff/012rRpY/E4iSoSb4WTWR4eHti5cye6d++OkJAQTJw4EfPmzTPcmh0yZAg++eQTrFixAs2aNcMDDzyAFStWIDg4GADQo0cPjBw5Ei+99BJatGiBPXv2GOUi2dvb49q1a3j22WcREhKCnj17IiYmBlOnTgUAtGrVCt988w1WrVqFpk2bYvLkyZg2bZrJlb+KVq1aNeWkErh1tTIsLEy5KPpjjz2GtLQ0/PjjjyYxjUaDWrVqKSvMiayJ571a165d8dlnnyE6OhqhoaF4+eWX0bVrV3zzzTeGx0RFRWHfvn2wt7dH9+7d0bBhQ4wfPx4DBgxAbGwstFqteHxHR0dMnz4dubm55fHtkCW4jmWxWBVOREREZMa2bdvQrVcv1Btjnarw3K+qTlU4r1gSERERUZlgjiURERFRsay1rzf3CiciIiIiMsErlkREREQlweWGisUrlkRERERUJnjFkoiIiKg4VtrSkVcsiYiIiIgUeMXyX4qKinDp0iW4u7ub7FVLRJWLXq9HZmYmateubbR9XknxfCeyLXd6zt/5AGzkmBWIE8t/uXTpEgICAip6GERUComJiahbt26p+/F8J7JNlp7zd8oat8Ktcnu9AnFi+S/u7u4Abr1puUczUeWWkZGBgIAAw3lbWjzfiWzLnZ7zZH2cWP7L7dthHh4e/EVDZCMsvY3N853INlVY6koVu7poDSzeISIiIqIywSuWgmf2j4JjNSejtoKi0s/DHeyKxFhCenW5n73cL/m8l7LdO+C62bEcjJllNk7W0TFmjtn4jk1jTNqajlkgPt7ncJ4Y0/5xXozp/dTvm0J3F7FPoYv5j4htP49TtncLn6BsP/tMLfFYmkL5eXR1dcr2opxcuVMpPLl7DByqaY3anq+zU3x8rt5JjP3HNVmMvX21tbLd0yFH7NPH86gY+zq9hRgDgDFhm8zGqew1nCOfuwAQN2aksr3FhkliHw9n9fv86vbaYp81Q+eKsekXHxZjF7M9le0XznuLfRrWTxFjVzLlW9YhtVKV7Z29Top9crIKxFi5YPFOsXjFkoiIiIjKBK9YEhEREZUAq8KLxyuWRERERFQmeMWyFH4/ESjGNDp5ju7gK+dPFV50VbbXaHyt5AP7n9TEGnCqWTY5Z1TxApafVrYX1fOVO7k4i6GUjnJ+Y/W4fDGW7a/+mChy0CDiv+p8sponzyjbgyacgV2rcPG5cn3V58ONhuqcxsI8ORe5NOpXS4OTm6NR2/b0MLzis135+MGn+4nH+q1WQqmf/0q+I46k1VHGtlwORWJaDWUsMuC8eMxwt0ulHgdVHH/3DDF28pSwXmO9AmiqqXMOpyY9Ih5vbJ2NYuzti93V4wvLRA/vI2K/mZ/2Vrb7RSeKff78uZG6HY2QW1v9mXQrr3qXeEyqeJxYWpklk0pLcVJZOamKc4ojTSqtwZJJpaUsmVRWFGlSaQ3SpBKAOKkszvEsubCDrEcqzrEGaVJpDZZMKi0lTSorBRbvFIu3womIiIioTPCKJREREVFx9CzeKQlesSQiIiKyMYsWLUJwcDCcnZ0RERGBX3/9VXzsjh07oNFoTL5OnTpl9LiFCxeicePGcHFxQUBAAEaOHInc3NKl2fGKpaCmYzacnIzzPKJb/Sk+/pqumrL9aIKQdA0gtNV5MZaUoV6kFpBzKd23usl9MosQuXaeGDdn79evWdSPLFd444YYu/FwiBi72kJ+37hcFvo0dVQHAOSb2eXQzkwalFPvtsp2z82nlO0A4BIP5ESqk/lrb1AXohQU5eG4PIwS6+e1B27uxn9nJxbICzvXqZYuxjbEh4kxaeODkU1+FvsEBasXkQaAU3lyHuXCPx9ESOJ0k/bCfHuxDwCc7f2G2ThZh1igA8CxhnpThAeC48Q+wS5Xxdiov3qKsRrO6rqAiT/1Evs0e/isGIvb0ECM6Wqrzwfni/JnUmGumZ0UykMlubq4evVqjBgxAosWLUJUVBQ+/vhjxMTE4MSJE6hXr57Y7/Tp00bb13p7/73w/Zdffolx48Zh2bJlaNeuHc6cOYOBAwcCABYsML/w/z9xYklElcYvG9SFTjENXy/nkRARVV7z58/H4MGDMWTIEAC3rjRu2bIFixcvxuzZs8V+Pj4+qF5dvevf3r17ERUVhb59+wIAgoKC0KdPHxw4cKBUY+OtcCIiIqKS0FvpqxR0Oh0OHz6M6Ohoo/bo6Gjs2bPHbN+WLVvC398fnTt3xvbtxitftG/fHocPHzZMJOPj47Fx40Y8/LC8BagKr1gSERERVbCMDOO1TLVaLbRarcnjrl69isLCQvj6Gq9p7Ovri5QU9b7t/v7+WLJkCSIiIpCXl4eVK1eic+fO2LFjBzp06AAA6N27N1JTU9G+fXvo9XoUFBTghRdewLhx40r1fXBiSURERFQC1qoKv3nzJjw9jXPk33zzTUyZMkXup9EY/V+v15u03da4cWM0btzY8P/IyEgkJiZi7ty5honljh07MHPmTCxatAht2rRBXFwcXn31Vfj7+2PSpEkl/n44sRQcvVYH9jnGfynUeEtdoAMAF2JclO2ucv400uPlBNv0x+WFb5+6R71Q7U/H1AUTAJDtL2c95ATIz1XrgIO4uwoAHF5SdosBR/aVi4ucbqgTtl1/O2/2mJtSFt3JkColnZv6gwMAah6TP/XyhVqUAvVbFwCgvS7HzBXvXBbeill+cmFLrT916BT9tjpYvxac482cTHdo2LFnYO9qfL7n5skFBN0anBRjOeny7keaLPVH7oz4J8Q+Ax/aIcaW73hAjM3s9o2yPchRLgbqu30oglYIPwMA5weOFWOlFbp+qhi7PyBejP2aWF+MOe1QV5ulR6iLX247/2zprsgAQIuX5M/Fox+oPxfNfZYiQj6vV7dZomyv7yCf768mRYuxbJ16JysAOH9J2KHLRd7lqqu3XEJ3srW8U5g+Sz2OWjvlqUlBfhHkUqFyYKUF0l1dXZGcnGzUrLpaCQC1atWCvb29ydXJK1eumFzFNKdt27b44osvDP+fNGkS+vfvb8jbbNasGbKzs/Hf//4XEyZMgJ1dybInObEkqoS25q8SY+Z+oVVlm+LeMWnLyMiAp+f7FTAaIqKy9c9qbXOcnJwQERGB2NhYPP7444b22NhY9OjRo8TPd+TIEfj7+xv+f/PmTZPJo729PfR6PfT6ks+oObEkIiIiKoYGVlrM3IJjjho1Cv3790fr1q0RGRmJJUuWICEhAcOGDQMAjB8/HhcvXsTnn38O4FbVeFBQEMLDw6HT6fDFF19g7dq1WLt2reGYjzzyCObPn4+WLVsaboVPmjQJjz76KOztzS9T9k82M7FcvHgxFi9ejPPnzwMAwsPDMXnyZMTExAC4lVswdepULFmyBNevX0ebNm3w4YcfIjxc3puYiIiIyNb06tUL165dw7Rp05CcnIymTZti48aNCAwMBAAkJycjISHB8HidTofRo0fj4sWLcHFxQXh4ODZs2IDu3bsbHjNx4kRoNBpMnDgRFy9ehLe3Nx555BHMnDmzVGOzmYll3bp18dZbb6Fhw4YAgM8++ww9evTAkSNHEB4ejjlz5mD+/PlYsWIFQkJCMGPGDHTp0gWnT5+Gu7u80DERERFRiVSSBdIBYPjw4Rg+fLgytmLFCqP/jxkzBmPGqNcJvs3BwQFvvvkm3nzzzTsal0ZfmhvnlUzNmjXxzjvvYNCgQahduzZGjBiBsWNvJZfn5eXB19cXb7/9NoYOHVriY97K2fJEwNzpsHMxTsJ38lHvSAAA1d3UseuZrmIfBwd5B4GcTHXSLgA4uaqrJvLSzfTx0ImxWuvl6o0CZzmhXOehjtX+Vk68v/yInHjvGS+PUVOofpum15e/5zz1GrAAgIAfhG1oAOQG1hBj27eqixe6tDf/F13srglm4//WrcVkMZbnIxeROV+Qq20Ka6jfi9fD5B2bsurKP3+HLDEEqVe1ZLkAoPpvclFJQdw5dbs+Hzv065Genl7i/KR/un2+Nxg/C/bOxud7zbbyeyT5vJcYc/G+KcYmNduobJ9zWi60uHmkphjr2O2oGDtwWV0cmH5D/kya11Zd8AMAh7ODxdiGRPnO0ID6+5XtW/rIxYaFf8jFUQCQtLapsl0q3vH7VH6dLj/XQox5f2h+TcDU4e1M2mqckT/HkiPlohlzRZQOburP/ADvNLHP+TN+Ysz5inxbU1dd/VmrryUXQNWvLZ+7536XdxQq9FB/z+6nzOy8k5eLU++9YfE5b6lt27Yh5uneaDBsfJkfOyclCVk/fI7UVPl1tCU2c8XynwoLC/Htt98iOzsbkZGROHfuHFJSUowWC9VqtXjggQewZ88esxPLvLw85OX9fcL8ex0pIqo6eL5XDScfF66oPK5u7vrpAKuMQ1X9La5sQLbPgsXMS3zcKsSmdt45duwY3NzcoNVqMWzYMKxfvx5hYWGGkvvSLBZ62+zZs+Hp6Wn4CggIsNr4iahi8XwnIrIum5pYNm7cGEePHsW+ffvwwgsvYMCAAThx4oQhXprFQm8bP3480tPTDV+JiYlWGTsRVTye70R0JzR663xVJTZ1K9zJyclQvNO6dWscPHgQ7777riGvMiUlxWhNppIsFiptmTSr8zdwdTfOQ/FzSBeP46xR54psyw4V+zRzln+pNXaUc+XmXXlQ2f7jn83EPs775by81Jbyu1obIt8qdNjuqWy/0SFI7pMrP9e5x+W8H6c0dUwfki326dLglBjzelbu98Uf9ynbi/LsEbhsjjJWK0zOW8v2B5q8Ka89eWqq6e00zdUb4uO1+XJu7uVO8vtdm67Ob9TekPMeC53kn0mWnDoFR+Hl1chPhfQW3vA8qs4xcmgo5PcV5qE0qyVL5/uh5z6Bx7/O9y4n/yMex/mi/NHpFiDnovk5qH+urX3lz4LtrnLO77E0fzHW3PuSsv3gHnV+IgDM2dRfjOnN/I1e/aqcH/i1bzdl+80u8gH93eS8xyIHDTp3nKWMpYWp88V9xKMBPgczxVjKCNMcytsccoBWL5ie1zXz5POz7o4cJHU0syOBwPGkuk9SYm2xT41z8uvr/qT6vQEA93urT6ivjt0r9jn7l/w+rB5n7uKOI663Ms0fNfc5YS5WLngrvFg2NbH8N71ej7y8PAQHB8PPzw+xsbFo2bIlgFul9b/88gvefpv5LkS2YtPpt5TtMY1LvzMKUWWk+kMSAAI/Md0A4G5wYZBppXKz0XfnJhBVhc1MLN944w3ExMQgICAAmZmZWLVqFXbs2IHNmzdDo9FgxIgRmDVrFho1aoRGjRph1qxZcHV1Rd++fSt66ERERFQV8IplsWxmYnn58mX0798fycnJ8PT0xD333IPNmzejS5cuAG6t0ZSTk4Phw4cbFkjfunUr17AkIiIiKic2M7H89NNPzcY1Gg2mTJmCKVOmlM+AiIiI6K5ijUIb8yXGtsdmJpblLdjxGtwcjYvmpyU9Ij6+hpN6UeQQV3mR5QAzxUB7ctWLGwNApEecsn36QzvFPrFRcvp6NTu52GB3ZogYy6qnXpx820p18QsATH7xCzG26nIbMdapproQ52aRvED6lsty4VT8JW8x5vqns7I9u4m88HGGvO47CtxKn21+7nl5MeqghcfFmNdS9XsDAOzDGirbNVfkRZZdGtYRY5mBckFYwEbhmIny8l9pj4bivoHz1cFIH3jtvSL2tYbY0J/E2MUQueDDEkvqygtx5/eRz2tHjfwR/uDxR5Xty//7ntin1xb1Lh4AEDo1QYwBQM496qWbPAeqC5MKVsmfcWeekxfIlhYLBwBHR/XPJSdJLlhKekheHKXWYXkWkRmong4ktyt9cQ4AhPz3gBhLHq0uItI1zhX7FCTL4/Bylhfx7+yh/nz5slD+XPfbKRf5XblXfg1r/QbcN8D0nHcBkONd1aZbdw9OLInIJqgKe27tnLOwAkZD/7Zjk3q7uC471MUqROYcm6t+32RkZMDzgzfKeTT/wBzLYtnUOpZEREREVHnxiiURERFRCVglx7KKXbHkxJKIiIioONwrvEQ4sRQMPd4P9q7GhSG1PeRdaNwc1MnLq96LFvv89LScUK59s7oYS4hW7/ISNOB9sc/+LHXhBgCk5rmJMW9tlhhr7XZO2T585C9in+M6eWcYBzNbKnzygbpwyv8nuaAgrbu8D7RWrt1BoRNgr6jTCZ1wUe7k5CSGEp+UC2BqdbuIjj+PNmn3aw+k7JL7iSLvEUOZ/uqiJHcztUVZgXIBQNAGuQCg0N0Z9pmmhQWF6fI55LlyP9L7qwu4sv00CB9numhyYZ5cvFAak640h/amccFImIv8837KTX7eOHkTGoQ6qj8nOh7vIfZJSKolxuK7yqtlbAv/Qdne73wXsQ8K5IKJM6/JBWWuSRo0G6Ve1LruJvX7zhdXcPkBc3vi2Kbab8uFWACA2aXPORU2dkP1nfL56Zgtz1YuZqp3TTPn/fZfibGX8p8RY0FrzRxUeLvZFejRqat6c5OCgrI558l6OLEkUjiu+PCPWflKuY7h1JvCL6A35T5d2s+0zmAssPn36SZtXex7me1zYMUoZbtqUkm277ePyqmw54nyeRoA6DKjmImlILboWzEmTdqpAvCKZbFYvENEREREZYJXLImIiIhKwBqra1a1FTs5sRS09bsAJzfjnCs/Jzk/rKaDOhdx6PjtYp9BhweKMfcJ2WLsYPOPle3JhXJyV98ae8XYTxktxFhGoZzDc7XAQ9nedYd8y7jRYnmMFx6WF9zWCKlYBQlJYh+/n+T7C3pP+bkAAFPNh0ujSE6/RMJxfznYuezGAAA5XuobFB6Z8ntN5ybn99kdVi9abymHhsGIaTxOGXO7T/0GKNSVzT2kRz1/QzV349dn3Y17xce7eciLtXvby4unpxep3/8ta8rv4x3h34ux2dfkDQyW/tZe2a7XyTeq6m4TQ9CpT3cAQG5NOUbWs3riO2Is5mvT3O3bCuLlH9jQo8OU7dXMpJg3PC7nPeo18rTJfvthMVbQpbX8hFSpcWJJVEKbkuQdS8wJm1B++VGxuyaIsVbDKj5PK7ZwtRiTJpVk25Ie9hEXu66KzOVKWurYfPXr91eSPLG0ddu3jFW239oUYUr5Duafqlg+pDUwx5KIiIiIygSvWBIRERGVgFUWM69iV0E5sSQiIiIqCU4si8WJpcAeetj/66edYiZ7PUHIXh9eXU7KD651TYx19pYLI3blqcfRyilN7NP9V3VCNgDU8b4uxlJuyN+zwxH1wup1ThWKfZKjtGLMf0++GHNJSFe2y88E6GuaqTYAgEJzvctO4OpLcrDIzCdKGS+b6XVMXaST2DtQ7FN7wX4xpgegcXAU47ZkTmI3OFQzfm+evyYXOFzMkReYvlkgV2tdylS/J3WF6oXTAaDBCXnRe9dj6sXHAaDuGfX72zFLft8XOcqr5Ttmy7FqycC18KrxXrAlw/7qLcbO9P9IjDX59AUxlh+kLsRJl/ebgO8euXhHE2+m6sfTE4Xp6s/2LnZPK9sL9PLvCaocOLGku9bmY5VnMXFbtSVnZZkda9Ppt0rdJyMjA57fyAVLVH7upgIdKjuqYidpUlkp8IplsVi8Q0RERERlglcsiYiIiIqjt07xjlUKgioQr1gSERERUZngFUvB0Xn3wMHRODG++9Qd4uPHe51Rtrc81Evs82TQ72Ksh/sxMfZNeitl+/Bdz4h9zO22kfVLbTHmf8FMQc2Fq2IsM7SGGKO/FVxIVLafm90WDefIC5rHjSl9PltCN/VuQzVPykUZ9v5+8gFzchHjLReFbUqViwdKq0MP9ULQBfly0UBpxF+pBTtX4/O98KKr+Piz3zURY55xN8WY14nzyva0R8PEPo1Oqnf1AgC7bDmmP6t+LgDQdZALgqhqeC7hfjHWrNNfYuzP/2skxnQN1Oeb5pyZAkWNBtCrL8mdmRKG+u/ON2kP7tBSPFxRQS6wW96Nyuqq2NVFa7CZieXs2bOxbt06nDp1Ci4uLmjXrh3efvttNG7c2PAYvV6PqVOnYsmSJbh+/TratGmDDz/8EOHh4RU48rvT7jXydmJ3m01x8u4YXezlPzyIrGX7VvWuJmRbfu5kOim7bcCBwWX+fOf6jVe2d3v5ebP9Nl//RNmumlSS7bOZW+G//PILXnzxRezbtw+xsbEoKChAdHQ0srP/XkJlzpw5mD9/Pj744AMcPHgQfn5+6NKlCzIz5b17iYiIiIqjwa18SGt8VSU2c8Vy8+bNRv9fvnw5fHx8cPjwYXTo0AF6vR4LFy7EhAkT8MQTTwAAPvvsM/j6+uKrr77C0KFDK2LYREREVFVwuaFi2czE8t/S/7eoas2atxYxPnfuHFJSUhAdHW14jFarxQMPPIA9e/aUemJ5qUsR7FyMc88+/bmT+PiWj5xXtmsd5MWIl+94QIxl3O8ixnwcM9RjqK/O1wOAi0sayM9VXwzhpp8jfPer8yxPviYsEl2kQeAn8u3fC0Nel5+QAACNFiWYf8CYsnuunH43xFieh7x4eq1P5cXT7cIaoVvzSSbtekd5IXCdl/ye12ap34P2BXlin1I5Vw1wNs6xtDfzYe914IoY06ekyh01GmWz58q9Ypesp9vKx0M1ePwpb4xApBJcTd6cI2OK+v1rHxqCbqvVa8ZefTxUPF6Otwbh49T54ouHqm+RFz4q30y9mVmInc3FMFUCNjmx1Ov1GDVqFNq3b4+mTZsCAFJSUgAAvr6+Ro/19fXFhQsXxGPl5eUhL+/vX04ZGepJ293sl43qWUzgsjnlPJKqJ7ZwtbI9JqjsF5s+PUl9zBYbTCeAVVVVPN83H+dC/2Tqs/s+FWOjf2dut6W43FDxbCbH8jikeccAACAASURBVJ9eeukl/PHHH/j6669NYpp/XRHQ6/Umbf80e/ZseHp6Gr4CAszsW0VENo3nOxGRddncxPLll1/GDz/8gO3bt6Nu3bqGdj+/W8ui3L5yeduVK1dMrmL+0/jx45Genm74SkyUbycTkW3j+U5Ed0Rvpa8qxGYmlnq9Hi+99BLWrVuHbdu2ITg42CgeHBwMPz8/xMbGGtp0Oh1++eUXtGvXTjyuVquFh4eH0RcRVU0834mIrMtmcixffPFFfPXVV/j+++/h7u5uuDLp6ekJFxcXaDQajBgxArNmzUKjRo3QqFEjzJo1C66urujbt2+pn88xzRF2zo5GbYV15MWYp0wZpGy/Kq/zCr1WXpj6x+/lhP1ujxxQth9Plhez1j2kE2Oup7RizJx6P6r/Lkl6UE498DxjhxYvqxO5ixyVzQZ/zDfNEYzcOk58/BsNN4qx8YufM/tcf75TdjmO7Z+YK8bctp9Stp9/pfzWXvV3l/MMkx1qyh1byot6n+nrpmwPWSoXDTjJIeTUVi/uXpBfNn/q119xCQ52pudB3PN1yuT4lUnwl7PNxqW1CunOdbF72mw8tuhbZXuz0fJmCcfmlv6zav1Jufql7+8Hle1f/uwl9ql+Sv7M79v/ZzH20iH172anw+rzHQAK83IBvCHGra6KXV20BpuZWC5evBgA0LFjR6P25cuXY+DAgQCAMWPGICcnB8OHDzcskL5161a4u7uX82iJqCr4a7zwS5tzLyIiJZuZWOqFLaH+SaPRYMqUKZgyZYr1B0RERER3DystZl7VqsJtZmJJREREVKG4QHqxbKZ4h4iIiIgqN16xFGivAvb/yuXXxjmrHwxA+pOj8QfJYo8rnWqLsRwf+ZnOZ6uTqAsL5b8TokNPirEtOssKRZy/V++84uciFx45ZhWIMdcEeU/3U8PdEbTEdDef+EfXiX0yinLEmPbBq2LM6fOaiOwzTxnb+/VryvYY3xfE4+U93EiOfaX+QTvGKptvxXKAVi+ok/m1j1+WOwLYG/2WSVtBpxTFI2956Dc5tvvafWLM9ZI6mf/M83IBQHDzJDFWzf66sr0gOw/YrAzdsYLzF8wWW0iFFtGOvc0ed2v+qjsa151qESS/zlVV68HzzcYPfTpK2W7uZ5nbPUKM7fy+bHcXq/vdJWV70nxXNPvhTbHfsUenlvq5vl/eQdnuLm8iZ7bwcvnGB8WYc6pc9KOvlJe99NCUIC2vtKxxzIrEiSUR3fXW/jHTZOmh4ip4iUpL+mOkvJ3tLVdV33NArkAvT8ffUhfOZWRkwHNhBVaFU7Eq5d8ERERERJVOJVogfdGiRQgODoazszMiIiLw66+/io/dsWMHNBqNydepU8ZL3t24cQMvvvgi/P394ezsjNDQUGzcKC/dp8IrlkREREQ2ZPXq1RgxYgQWLVqEqKgofPzxx4iJicGJEydQr149sd/p06eN7s54e3sb/q3T6dClSxf4+PhgzZo1qFu3LhITE0u9ZCMnlgKnbMA+37jN5aqcZOL+hzq3LTtMTpas9dsNMXb6ZVcxdjJFvUWlk5Ocv7jlDzmP0j5TfhtUS9Cg2Sj1rZGMT+5VtjsnyRfC627LE2M6L/l7drihHmPUH0+IfXoG/CbGngk6iC/Oq8efGaAev+uDqbhvs/oWTF6fEPG5NPKPBZ4fVFe25zaW+xQ6ybGrh+XtS+1zgSa7FT/LiW0RMGOfss/aP1uIx9N3lb8x+zR10lWto2IXnNXKOccAEBpuve0Xe3g+CweN8ZjttOZyqi2jLywUb7FXltukZa2r2wAxtiXrs3IZQ43le80/4NNyGUaZ0+xQf34AwHPPb8KCk9FifGToVmX7TWGfDSd5HwUM7Ks+FgAs/UEeQ15NQJsmH7cyssrSQBYcc/78+Rg8eDCGDBkCAFi4cCG2bNmCxYsXY/ZseRMEHx8fVK+uft8sW7YMaWlp2LNnDxwdb30eBgYGlnpsnFjSXetwzExle9PtlSPHqDzFFq5Wthe3S0t52tThXZO2jIwMeOLjChiNzFxxTmXI21wf9WFFD8FmVHSh1W2b4kwLFwHgHuGPflvy55yy2+XM1mVkGM/etVottFrTHcF0Oh0OHz6MceOMd56Ljo7Gnj17zD5Hy5YtkZubi7CwMEycOBGdOnUyxH744QdERkbixRdfxPfffw9vb2/07dsXY8eOhb29fYm/D+ZYEhEREZWElfIrb968CU9PT6Mv6crj1atXUVhYCF9f4ztUvr6+hu2u/83f3x9LlizB2rVrsW7dOjRu3BidO3fGzp07DY+Jj4/HmjVrUFhYiI0bN2LixImYN28eZs5UX4SR8IolERERUQlYa+cdV1dXJCcbL0+oulpp1E9jvFyTXq83abutcePGaNz47xyryMhIJCYmYu7cuejQ4dYSU0VFRfDx8cGSJUtgb2+PiIgIXLp0Ce+88w4mT55c4u+HE0siIiKiCvbvJc8ktWrVgr29vcnVyStXrphcxTSnbdu2+OKLLwz/9/f3h6Ojo9Ft79DQUKSkpECn08HJyUyC/z9wYinIeTAD9q46o7ain+UfepGjOuO5yFFeANY5Rc5Z0CbIP0CnDHWsTqycBZ3vJRceOU25KMaS44LEmHOSukDD/YL8J11yexcx5hlfJMfi1O0uW+Tk9fcGdRJj2jhnfAx1flJOiLooJS9TLi5yrCaGUC1Zfj0y66lfQ8ccIF94qXz3ygvJn3tcrt7z/kP9Hkjpm4tG384QesnvUbcT8nu0SAhl1QXckirfYsCaVmHQ2BsX62j+SrDoWObyKAseaq1sdz6VjJh6I9R9kuTz066VXJRXpFV/vGcGy+9jANj3hXqx8E5d3zbbb/uWsepx3Lxptl9lYMlC+Jb0sVRM/dHKdq9G3sp2ANj8TKQYs8vKw1aMU8aC/zqrbHdo1EA83vZvm6PT+t/FeJVxB0sDFXvcUnByckJERARiY2Px+OOPG9pjY2PRo0ePEh/nyJEj8Pf3N/w/KioKX331FYqKimBndytT8syZM/D39y/xpBLgxJKo0jo2X53UHn3ftHIeSdk6sEI9cSGyFnMTvcpQUFUVjAnbJLSX80DuEqNGjUL//v3RunVrREZGYsmSJUhISMCwYcMAAOPHj8fFixfx+eefA7hVNR4UFITw8HDodDp88cUXWLt2LdauXWs45gsvvID3338fr776Kl5++WX89ddfmDVrFl555ZVSjY0TSyIiIqISsFaOZWn16tUL165dw7Rp05CcnIymTZti48aNhuWBkpOTkZDw910XnU6H0aNH4+LFi3BxcUF4eDg2bNiA7t27Gx4TEBCArVu3YuTIkbjnnntQp04dvPrqqxg7Vn03QsKJJREREZGNGT58OIYPH66MrVixwuj/Y8aMwZgxY4o9ZmRkJPbtU69rXFKcWBIRERGVRCXIsazsOLEU+C3RwsHBuNS/UJsvPBrIDFQXYZjbJcXJTy5k8TkiF9tUi09XtqfcX1PsI+2mAABOPwaJMTsz43cQcvLN7XLh7eUlxoqysuUnA3C1fyuTNsfdx+QOj5k+/rbcYHkHIBSol3f1+0reieV6Q/lwerl+C85p6oIljz/T0C18gjKmcZZPW52PmffoEHXRT9GpGmIfOwBFfmZeqyrCPuEy7P/9ZndyhF4nv55lyVyBjkPD+mJMnyOPzz4nH4XVTT9jPFYfMD+YL8yHqfydfkW9K5XTdTPFodfMF1v4x6p3i6sMIv4rL/xeqMstx5GQJTixJJtxeIlpMUvXz/tVwEjuLuf6jVcH7oKXfvP1T0rdx5KKYGsVkMTunmjSFu3Y26JjSVXfxY6hkm9Vaen4Kvv3VZxNp9+q6CHYHA2slGNZ9oesUJxYEhEREZWE3gozS2scswJxS0ciIiIiKhM2dcVy586deOedd3D48GEkJydj/fr1eOyxxwxxvV6PqVOnYsmSJbh+/TratGmDDz/8EOHh8iLCkoQYJ9g5G+eoOF+VL1jn+qhz5Wr8Kc/dkyPll7/+mhtirNBdnevnffQmihzUY3RJk7eGyqotj7H2z/Ki62kt1bl5di3NLFx2MVUM3ezWXIy5HUxATF3TtbQK2so/2yYfyM+V2t5HjHnvuqJsvxYp93HIEUPI9ZLfN2nN1O3ucfJ7I/kBeVF4jb1OjLl8qe53vbN6QXgAcK2Zg9D1U5WxwMFJYr/k/vJ7ID1c/Xw1fzOTOyrsTVCYZ718q2vdGuG+AfPF+IHPSr8eJ9dMJEtUP63+DNHIpy5ya8mxultvoGvEm8rYgNWb1WOwl3Pg33v8CfnJAGw+Wvq1d3OEtd8LKzjlu7IsN1SZ2dTEMjs7G82bN8dzzz2HJ5980iQ+Z84czJ8/HytWrEBISAhmzJiBLl264PTp03B3l3ckqSqkSSVRZSFNKiva2rMLTLZTMzeptIbyytnbmr+qXJ6HyFLSpJJsg01NLGNiYhATE6OM6fV6LFy4EBMmTMATT9z66+mzzz6Dr68vvvrqKwwdOrQ8h0pERERVDZcbKlaVybE8d+4cUlJSEB0dbWjTarV44IEHsGfPngocGREREdHdwaauWJqTkpICAPD19TVq9/X1xYULF8R+eXl5yMv7O2kjIyPDOgMkogrH852ILKYHNOpyijs+blVSZSaWt2k0xnmGer3epO2fZs+ejalTTYsTCt0KoHcxzgfLtbMXj+N+Vn3x1+eZ82KfwkyhIgFAfEO52KbhSPXCtrqV8o8z75sAMZYrr1mO7PqeYqzGmt+V7XZ1/MU+17rJK4k75Mhn17nBwcr2gBny1lMFABwaqvt5fXlY7HdyQUtle/V618U+2Tfln5ezmYX1/b5Uvwfi+sqvu51cnwPkyO/R3fM/VrY/l3C/mQPKvLdnibGbVy8p2ws3qxd6BgCXq/KmAC5XgfT68vdWUtL5ruK1T13EVRxzBTq5PdqU+njdmqkXygeAwuNnzPa19bUWqxqpYAYA7NKFHScApL3mK8a8flOfF9nBcj7z5Ui5AHDOwt4YM8I0D3dBg1CxD3AS9veYi6s92Fm9lqYfgJS28mcqVW5VZmLp53dra5mUlBT4+/89sbly5YrJVcx/Gj9+PEaN+ru6MyMjAwEB8iSMbIu0CHBX57tgde8q5s85pgvkZ2RkwPO9N0p8DJ7vVNUcXmp6XgBA0JJ3LD5m34b7TdqWw/yKBpZUfptzYqb6+8rIyIDnvJKf82WOOZbFqjITy+DgYPj5+SE2NhYtW9664qTT6fDLL7/g7bffFvtptVpotfzLiOhuwPOdiO4Elxsqnk1NLLOyshAXF2f4/7lz53D06FHUrFkT9erVw4gRIzBr1iw0atQIjRo1wqxZs+Dq6oq+fftW4KiJiIiI7g42NbE8dOgQOnXqZPj/7VtaAwYMwIoVKzBmzBjk5ORg+PDhhgXSt27delesYUlERERWxi0di6XR6y37jn799Vd8/PHHOHv2LNasWYM6depg5cqVCA4ORvv27ct6nOUmIyMDnp6eqP/5G7B3Nd7hxvGQm9gvv7W6kKHwfDWxj2ecXFR0PVwuPXO8oS4U0pupbcj3lys+PP5wEmPVUuRxXL5PPX5plwgA8F1zWozFjWosxlp3Oqls33dWXZwDAE5n1TsUAUCRoxiCzkddbNOwforYJzb0JzE2N62BGFu87SFle9vW8uv05xW5OOrp+kfEWFKueqekHZtbiH0QKhfo1HtPfsNpdqkLu+ybyT9jAMhsKBe07V4z2qTt9vmanp5ussB5Sdzu33zALNg7Gb9fClzkftX/kguyAMBp88FSj0UqtGHxjm2J8RsuxuKHNxJjhfLHlViw53VC/ny+FiavJhi4WS4UkiR2dhVjJ15YLMa6BbQSYzf63SfGDqxQ72x1p+e8pbZt24aHe/RCq65jy/zYWdeTcOmPL5GaKu8WZ0ssumK5du1a9O/fH/369cORI0cMy3dkZmZi1qxZ2LhxY5kOkojuDqrJoy2SJnSWbOm4+djMOx0OEZUR5lgWz6IF0mfMmIGPPvoIS5cuhaPj35d+2rVrh99++63MBkdEREREtsOiK5anT59Ghw4dTNo9PDxw48aNOx4UERERUaWiR5VbGsgaLJpY+vv7Iy4uDkFBQUbtu3btQv369ctiXBXu/oB4OLn9K/cwENi91kw+Wildb58rxvSFcp6iU4K8XEqd9w4p2+NmRoh9cmuKIeRVly9q122mXgQ7wdVH7NP7ZXkXpKcd/hRj6YXq/J591+WcvaLQbDFW3U3OMcovUucOSu0AsCpLnb8IAI4aeeHveTFfKNtf29dT7POfUPl1OpnlJ8b272uiDrjp4bdX+LQ85oqrPUufj+XgL6wde/UGLj8i58VWFNcnkuFQzfS8Sv9BXtC9suti30uMxRauLtPn6txxlhgr0qrPG+fz8oYDeXXlBbwddx8TY9f6yZ9zhz5V5+xZSkprSBvSTuzT5MGzYuzNej+IsZlJ/1G2/+4k52y6haeJsbMe8utb67D6d4/HeT3yq6lj3TvLKR6ZT8m/YOzz9CjUyr/ryDZZNLEcOnQoXn31VSxbtgwajQaXLl3C3r17MXr0aEyePLmsx1ipHJ+tXrTVEsFfzi6zYwHypJLIHHFS+T9nnpykDjwp94mp+4qyvTJOKs35/d2yO98BFtOQ7ZImlXdKKtKprJhjWTyLJpZjxoxBeno6OnXqhNzcXHTo0AFarRajR4/GSy+9VNZjJCIiIqp4XG6oWBavYzlz5kxMmDABJ06cQFFREcLCwuDmJi/HQ0RERERV2x0tkO7q6orWrVuX1ViIiIiIKiUNeCu8JEo8sXziiSdKfNB169ZZNJi7zSuttoux9Zeai7GEbHVhxI2n5cR110bpYiwjVV7EXVs9T4z9x19dRLIyW1709kq+vKCtudj/JYWoAzXkhd8LLssrXNeroy48AoAbeeqVivvVOSD22ZLWVIy9XzdWjI2+1EnZ/mnUCrHPuClDxdj1xnIeVOPPryjb9XZygVZhDVd0aa9eR/FsT3lF5zr31lO2Vz8jv5/uBt2aC/mqCclin8J0+dwF5LzNy6+2VbZrCoHmry5QxsxtsuB7QC7iyqkjvxeuRKjfX9o0ocALQJ6ZgkKfWvKC2wUu6ve/3l7+nrXp8m91M/V6yB2tLtLJCpM/k7p5yJ877nYFYuzb+v+nbO9npo+7g3yubb0mf+Zf6Qz4/Gy6aUa2mTq2M897ibHQVufljlQllXhi6enpafi3Xq/H+vXr4enpabhiefjwYdy4caNUE9DK7L1WH5frqv5EVHE2d5zB853ofw58ZlpQEzJDPTG/61jj6uLdesVy+fLlhn+PHTsWPXv2xEcffQR7+1t/0hUWFmL48OH8cCYiIiK6S1m0886yZcswevRow6QSAOzt7TFq1CgsW7aszAZHREREVFlo9GX/VdVYNLEsKCjAyZMnTdpPnjyJoqKiOx4UEREREdkei6rCn3vuOQwaNAhxcXFo2/ZWgvi+ffvw1ltv4bnnnivTAVLJ3T96vxjLyJeT64e1kIuIntj2ohhbflpdHODmLCeNf3+mmRgr0MmZ8p7V1YUDk+7dIPZJ0skVAL+kNhRjN/NNE9cB4EROHbHPWP/NYszNTk6U/6juXmV7k09eEPvUPyrvWJLtL+8AdHqot7Ld5bJc8ON8TQyhyEMuUrgWrn4NAXv47b27C3jKUvbTbdGu1zxlLOepHGW7uaI2c8VwOZHypRXtQfkahVOGut1M3Qns5GEgt6b8XDnCpl8O6pfiVh9v+f3vFykX23g7qgfZqnqi2KdfDfkzuoGDvFxf41+fVbZ3Cv5L7LPl93AxtvjBz8XYixueQ/AHpu+pFp3ixT7O9vliDAAydPLvH5uiB1BkhUuMVex6nEUTy7lz58LPzw8LFixAcvKtakZ/f3+MGTMGr732WpkOsCobGbrVTMxMx87q5tG/y1u4EVUW234eV9FDqDCbf59epseTJpVElcmGDu9V9BDKDot3imXRxNLOzg5jxozBmDFjkJFx689RFu0QERER3d3uaIF0gBNKIiIiujtwgfTiWTSxDA4OhkYj56XEx8u5GGRda/bLOyE51lDntm0/10js81TL38TYD3HqRcHTb7qgY2CcupM3cCzNXxkq/EpIkAIwYuJ3Yqy3m5RzeAXfZavzG0+6+InHc6pWqGxPzXNDG0/1e3vHzRBczXdXxpJy5bzHmbXVCx/vHjQXx3RCztUzwNCD/ZUhJ/nHhQaj1PmcAPDXR+pF7bODAd9fzawSTRXqUoyZRMXrWnW7UxGcvHLFbrpr6nw4z23C8QBk1ZWHUSClGHsARU7yb1SNn3qMbgccxT6ZD6o/43Qwn1uqd1O/jokpcp62g5P6cyLusreY+7jw8kPoXWufMtbAQc5TzM9Wf89b/wyDwxV1PrMjgAIfdR7okZtB4nM5+qnz2Y8n+yHcP0XsR3SbRRPLESNGGP0/Pz8fR44cwebNm/H666+XycCo9CyZVFqDOKmEPKm0lDyphDiptJQ0qQQgTiotJU4qIU8qAUDXKht/PT1RGevy9h5luzSpBMxPKn1/dsT+laYLKVPlZsmk0hosmVRaypJJpaXMFdRIk0pLSZNKQJ5U3on1UR+W+TFtjp5JlsWxaGL56quvKts//PBDHDp06I4GRERERES2yaJ1LCUxMTFYu3ZtWR6SiIiIqFKwxgLpVS3HskwnlmvWrEHNmnJOSnlZtGgRgoOD4ezsjIiICPz6668VPSQiIiKiKs+iW+EtW7Y0Kt7R6/VISUlBamoqFi1aVGaDs8Tq1asxYsQILFq0CFFRUfj4448RExODEydOoF69ehU6Nmtz98sSY3l/VBdjBW7yn0upgXKun05IKNeaWfn4+aBdYgxvmAnFPq1sv9xRXgt0yakoMfZQ4BkxtmWjOlf11WdjxT6D4gaIsclNfhJjXsLi6R2d5Z9JmIUJ9JfGtlO2+wddljsFAUUr5aIqqlgaR3ll5Xsaqhfqjqp5VuxTyyFTjC0Nai/G6giLhQPAud/NVPYIht4jXwxYpHtAjNXcpj6fHntR3gRi5Uk5x/jje1eKscG7ByrbY083EftIGyIAQKMdQ8RYdNMTynZzi6A3DJTP6//WOCLH2h1B1J5hYvyuxxTLYlk0sezRo4fRxNLOzg7e3t7o2LEjmjSRT6ryMH/+fAwePBhDhtw6SRcuXIgtW7Zg8eLFmD17doWOjcgWsUCH6O5y5qlJFT2ESkoPjRWKd6xxzIpk0cTy/9u797ioyvwP4J/hMgPKXZCLgiAqXsg0zMI7mZi5ZbW5aaWyte6rNSs118vWL01zaRXNzTKzNa1013bTLpu6Qus9NRWxzFtqKoQgiAoEOsBwfn+4To6c7wDD3Pm8X695veT5zjnzzHEe5stznsvs2bOtXA3rqKqqQnZ2NmbMMN3ZIzU1Fbt3q8+I1ev10Ot/mTF9Y8F3InI/bO9ERLZl0RhLT09PFBUV1SkvKSmBp6fj1ry7ePEiDAYDwsPDTcrDw8NRWKh++zA9PR2BgYHGR3R0tD2qSkQOwPZORBZTcH1fb2s/3KvD0rLEUhG6bfV6PbRaeV0te7l18XZFUcQF3WfOnInS0lLjIy9PfVwSEbk+tnciIttq1K3wN9+8vpG8RqPB3/72N/j5/TKxw2AwYMeOHQ4dYxkaGgpPT886vZNFRUV1ejFv0Ol00OnkHSWcUeIf31AtN/SR/06IH3BWjP10RZ7Y88OVMDGmbam+U8SXx9R35AGAf5f1FGPvD3tPjHno1d9bfpW8q03/aHlB8w07ksRY2kPqA/2v1MqLLLcLlBdqz66IE2Ox3urrvo40M3i+w+9OiDEAgDCHK2bYWfGQK9fk9+ZOXLG9D9uhvm4wAESEyf9v355S7439FnIvrbmdti6WyhP5Pr5ruRh75ORzquVeV+Svn1OV8oQx/+/k/7++49Xb079+lH/vVEs7FAEYv1eelOfTQn3C0pHkNeIxq8rk92Uok3cU+n5Bd9Vy7aNXxWM+TfhEjAGe0EN95yAyz5nGWC5duhQLFixAQUEBunXrhsWLF6N///6qz922bRtSUlLqlB87dkw1b1u7di1Gjx6NESNG4LPP5J3v1DQqsXzjjesJjaIoWLZsmcltb61Wi9jYWCxbtqxRFbAmrVaLpKQkZGVl4eGHHzaWZ2VlYcSIEQ6rF5Gz25P6uqOrQER2FBaV7+gqUBNYugLOiRMnEBAQYPw5LKxu59G5c+cwdepUMUmtT6MSyzNnzgAAUlJSsH79egQHy71FjjJlyhSMGTMGvXr1QnJyMpYvX47c3Fw88wyXTyAiIqImcJLlhixdAad169YICpLvUhoMBjzxxBN49dVXsXPnTly5cqXRdbNojOXWrVudMqkEgMceewyLFy/GnDlz0KNHD+zYsQMbN25Eu3btHF01IiIioia5sQJOamqqSbm5FXBu6NmzJyIjIzF48GBs3Vp32NecOXMQFhaGp59+2uL6NbjHcsqUKZg7dy5atmyJKVPMr2u3aNEiiytkDRMmTMCECRMcWgciIiJyM7ZYc/J/57x1+TNpTLglK+BERkZi+fLlSEpKgl6vx0cffYTBgwdj27ZtGDBgAADg66+/xooVK3Do0KEmvZ0GJ5Y5OTmorr4+WePgwYPiLGtynIh3fMSYsr9CjIV3V5/YBAAX7pS7zJW71M+pGOTPRnzn82Js7cW7xdi9/b5VLV+/Xd41QzHXH+8l/3LYdL6ravmH3w4Sj4n+Sn0iEwDsNjNZYnNb9d1MlNvEQ3DuxR5izLsCuG2q+uQuIBZtHzwrn5hczrxOn4qxp4vTVMsHdDwlHnOyXJ6slxJ3Uoz9eucfxJhvWKVquV+0XrUcML97jUcvecLK0VL132Wt/eUdhfx85Hq0biHvZtbRv1i1fNAReTx/tUFeju/2rufk17pL/bXM/X+N+fFBfNT+CzFOlrHJvt4KUFlZicDArdKkLAAAIABJREFUQJPiWbNmmV03vDEr4CQkJCAhIcH4c3JyMvLy8pCRkYEBAwagvLwcTz75JN577z2EhoZa/l7QiMTy5i7Tbdu2NelFqWm+XzBZtTwl9S92rgm5mk0D/uroKlAjmfs/23I2QYwRBUTlOroK1EAtWrRAQUGBSZm0goUlK+Coufvuu7F69WoAwOnTp3H27Fk88MADxnht7fUtY728vHDixAnEx8c36LwWjbF86qmnUF5e9y/AiooKPPXUU5ackoiIiMi5KYr1H/8TEBBg8pASy5tXwLlZVlYW+vTp0+C3kpOTg8jISABA586dcfjwYRw6dMj4ePDBB5GSkoJDhw41ajMJi7Z0/OCDD/D666/D39/fpPzq1av48MMP8f7771tyWiIiIiKqR30r4MycORP5+fn48MMPAVyfNR4bG4tu3bqhqqoKq1evxrp167Bu3ToAgI+PDxITTdegvjF7/Nby+jQqsSwrK4OiKFAUBeXl5fDx+WVMn8FgwMaNG9G6tbwALDmOpmULMeZ9uhDV8RGqsYjd8tjMy5fVz3mxvzze8Nx++a+eH1u0EWMt8tU714NLxENwJUEeDBP/sTx26kKy+q2EuCXmZ9vVDOllNm4tXvIQM/wcW2uXOpDze7uP+kLdsV7yYv7Dd0wUYwvv/qcY29mivRgb3TFbtfyrC/JtfI9CedHy2Dt+EmMllS1Vyysq5fN1jVSf7AAA3x2SNzc45Ku+VqAuSB6zWVUkL2h/uVC+hZn4a/Wx6T8Uy2Msyfo0CqCxwa9YS8752GOPoaSkBHPmzEFBQQESExNNVsApKChAbu4vQyGqqqowdepU5Ofnw9fXF926dcOGDRtw//33W+ttGDUqsQwKCoJGo4FGo0GnTp3qxDUaDV599VWrVY4aZ2vmdDE2rO3zZo/9avufVMuH9HmtSXVqTrZulq+/NSVOkybnUHNzT6y8C9PGM43rZSAi12JuBZxVq1aZ/Dxt2jRMmzatUee/9RwN1ajEcuvWrVAUBffccw/WrVuHkJAQY0yr1aJdu3aIioqyqCJERERETs2Gyw25i0YllgMHDgRwfQee6OhoeHhYNPeHiIiIiNyQRZN3btzDr6ysRG5uLqqqqkzi3bt3b3rNiIiIiJyJk2zp6MwsSiyLi4vx29/+Fps2bVKNGwyGJlWKnIdXiTzJ5UqC+kB5v6Na8ZjW2fLA9iud5AH2Vf7q5ddaiYeg/Tr1hZkBwDNffcFhAIj6pBjnH5UnIzhaRQwn6JDlOnurt1sAuDv+jBh7L3+AGPt956/F2LaSuuPxAcDbQ/6eSLzrRzF2tEB9oiEAxIReEmOSjNj1YmzIUfU1gwF5ko7hrHx9PbzlDKKlvHcE5rb+XizvtucJ+UCyOo0Nbltr3CyztCixnDRpEi5fvoy9e/ciJSUFn376KS5cuIDXXnsNCxcutHYdyQo2/fSmo6vgUr79q8oXilqZEzoz8UVHV4GcwP1x6slIbaF6okeu6djDsxxdBSITFiWWW7Zsweeff44777wTHh4eaNeuHYYMGYKAgACkp6dj+PDh1q4nERERkWNx8k69LJp9U1FRYVyvMiQkBMXF128r3nbbbTh48KD1akdERERELsOixDIhIQEnTlxfP61Hjx549913kZ+fj2XLlhm3ByIiIiJyGwqAWhs93IjFYyxvbJY+a9YsDB06FKtXr4ZWq8UHH3xg1QqSYxX3k3dSarNdfYcd7ab94jFekfLA+2CD+T9KLvSuu2tF2yWHzB5T272j2bgrCj4i/z34cxug02vyAuo/vOwa40TJdl672FmM7flObi8x8UViLNBTnihXVOmnWn4+L0S1HACCI8rFWGigPKGw7JqPavm9bX8Qjxny1QtiLCRH/orUGNTfl2GEPIHomt5bjHXqLe8oJP2f+XhUA5eGicdN66o+wZbIlixKLJ944pdZaD179sTZs2dx/PhxxMTEIDQ01GqVI7rZ9/PrJkVDl44ze0zW7pdtVR0iImpWFNvMCnezMZYNTiynTJnS4JMuWrTIosoQERERketqcGKZk5PToOdpNBqLK0NERETktNysd9EWGpxYbt261Zb1IKKbxL0lrwfb4fA1MeZzSX2MGdENxdJuAwA0VfL43duDzazgbUbrFupjIguvhonHVF6TN1kovdJCjHmfUf/8b/tEHqLllSB3hpTHiCFoOqm/r+gWFeIxbcNKxdiVqrpjyG849rP62PRQrfxaZCNcbqheFo2xpObjwIqGD4FwhM0/c7IYERGRs7BouSFHmDdvHvr06YMWLVogKChI9Tm5ubl44IEH0LJlS4SGhuL555+vs485ERERkUW43FC9XKbHsqqqCiNHjkRycjJWrFhRJ24wGDB8+HCEhYVh165dKCkpwbhx46AoCpYsWeKAGhMRERE1Ly6TWL766qsAgFWrVqnGMzMzcfToUeTl5SEqKgoAsHDhQqSlpWHevHkICAiwV1WJiIjI3Si2WRqo2S435Oz27NmDxMREY1IJAEOHDoVer0d2djZSUlJUj9Pr9dDr9cafy8rKbF5XoqbwOCQv9lzZo4cYqxhYgY7/ek01dnJk81jvk+0dSAk8Ksb+rZU/P+evBYqxDbsell+wVn1yjNdVMyuImNkrIWKDPLHn4m3q5Zdul7+4Na3lyXDxaUfEmNI9Qb38QJ54zIHpfcRYywK5jj+3Ub9W1T3kyTu1Bg9s/OHPYvz0qD+JMaKmcJvEsrCwEOHh4SZlwcHB0Gq1KCwsFI9LT0839oYSOYszE18UY0NnmF8UnmRs70TUJJwVXi+HTt6ZPXs2NBqN2ceBAwcafD61NTQVRTG7tubMmTNRWlpqfOTlyX9tEpFrY3snIrIth/ZYTpw4EaNGjTL7nNjY2AadKyIiAt98841J2eXLl1FdXV2nJ/NmOp0OOp2uQa9BRK6N7Z2ImsQmvYvu1WPp0MQyNDTUanuLJycnY968eSgoKEBk5PUBOpmZmdDpdEhKSrLKaxAREVEzZpNb4dY/pSO5zBjL3NxcXLp0Cbm5uTAYDDh06BAAoEOHDvDz80Nqaiq6du2KMWPGYMGCBbh06RKmTp2K8ePHc0Y4EQDP71vKwZH2qwc51iPxOVh/uqdqLCa+SDyuplYeOaWLVt+FBgA02eq/f6vNfBx1e/zEmF6eQ4TAU+rf0K0+/k48RhMvb69j6NVVjJ27T30HoHZmRm9F7Lkqxq6Gyz3p2lL14VxXL8i79UR0KpYrQmRDLpNYvvLKK/jgg192WenZ8/ovxq1bt2LQoEHw9PTEhg0bMGHCBPTt2xe+vr54/PHHkZGR4agqE9mEpbsNdZ71hpVrQq7qkfgc1fLFZ/9o55oQuRhbLGbOBdIdY9WqVeIaljfExMTgyy+/tE+FiIiIiMiEyySWRERERI6j2GYxczdbboiJJZETGurzhBi7miovYg0za07rYh3f3O/4g3w7/lLPGrPHnv09b9NaQ/s3F4qxgHgfMZZ7urUY07aSFxkPPqf+pel1Vb7/51Upxyoi5c9xrVa9AZQ8drt4TKtDpWLMoPMUY/F/y1Utr7lbfi2PKvl9aQxycuFZpV4euVM8BBdL5dVQAACp5sPWcttUuc0b5I8bjr422Qa1IXtw/DcNERERkbNTwOWGGsChC6QTERERkftgjyURERFRQ9TaoHfRFud0IPZYEhEREZFVsMeSyMaGxUwSY5WJUarlPt06iMeUdJObraderse1EDnmDMxNACHr2fyIPHnn6RPypLGya0HySY/JC5obtOq9MQFn5A+rPkQrxjwMcjV0F9Unx9R6y8dcC5dXavcwM6GmJqqVavn5AfL5WhbK52u1q0CMoYf6RJxrIfLkIqVThXw+O2r7ifokJwD46VF5cXqnxVnh9WJiSUR2c/AdeaZnp3Vz7VgTIiILcEvHevFWOBERERFZBXssiYiIiBqCyw3Viz2WRERERGQV7LEksrGatqFi7MKd6rMKQo4HiMdUtjGze0eNma13AHj9bD5uawPvny/G4mdctGNN3J+0y5Gu9EXxmCo/ua8hSJ4ngmp5vgp+jlH/zHkYfMVjas281tXW8mc4fJ/6FjW6n66Ix1TGy7PafL49J8ZKB8arll8Lk3ufAs/IsaJ71CfyAUC5MMfF55J4CHz3tMTVZOtN4BkW9owYqykpEWMn3+8lxryKmlQl+1PA5YYagIklUTPyw8vcJo2ouTg58mVHV4GaISaWRERERPVSAEW+Y2T5aW1wTgfiGEsiIiIisgr2WBJZQar3KDFWc09PMeYtDIEqTJbHkWlqAMXLNcfklCTKK1VHaa/asSbuL2HcMTF2YGsX1XLfYvl8P8fInzlzn0fFWz0W/o3cS2Puc1IlDz/GtVD140rbqy8wDgB++dVirKJ3nBirDFPvl9GYWcC9Mkxu1y2K5euhOwxcvM2x/UBnJiSIsVZH5Det8Zavb99B3zepTg7BdSzrxcSSyAWdmShPwCAyR0oqyblxfLSTsMVEGzfbeYe3womIiIjIKphYEhERETWEotjmYYGlS5ciLi4OPj4+SEpKws6dO8Xnbtu2DRqNps7j+PHjxue899576N+/P4KDgxEcHIx7770X+/bta3S9mFgSERERuZCPP/4YkyZNwksvvYScnBz0798fw4YNQ25urtnjTpw4gYKCAuOjY8eOxti2bdswevRobN26FXv27EFMTAxSU1ORn5/fqLq5xBjLs2fPYu7cudiyZQsKCwsRFRWFJ598Ei+99BK0Wq3xebm5uXj22WexZcsW+Pr64vHHH0dGRobJc4hs4czcu8TYXx9bIcbeGDNajJ1+VF5A2tkN9XlCtTy6rbwI9JX1gQhaXWqrKtH/dB94Uowdym0rxvz95MlVVwrlGTVt/6M+YcXcBJ1r8p4CiNpVI8ZK49S/0iI/PCIeUzSqm/xiZlzprW/8MWZWmb8CIOq/ztvX42Vmbl15jPy+PPPl2Nf5ia41gUeBjSbvNP6cixYtwtNPP43f/e53AIDFixdj8+bNeOedd5Ceni4e17p1awQFBanG1qxZY/Lze++9h08++QT//e9/MXbs2AbXzSUSy+PHj6O2thbvvvsuOnTogO+//x7jx49HRUUFMjIyAAAGgwHDhw9HWFgYdu3ahZKSEowbNw6KomDJkiUOfgdEjffjpCmOroLd/ePu5Y6ugtuQruWvd0+wc02ooXZ/3Pwm5X3QW/7Dm9RVVVUhOzsbM2bMMClPTU3F7t27zR7bs2dPXLt2DV27dsXLL7+MlJQU8bmVlZWorq5GSIi8O5Ual0gs77vvPtx3333Gn9u3b48TJ07gnXfeMSaWmZmZOHr0KPLy8hAVdb1XZOHChUhLS8O8efMQEGBmjQoiIiIisywfD2n+tNfPWVZWZlKs0+mg0+nqPP3ixYswGAwIDzddRis8PByFhYWqLxEZGYnly5cjKSkJer0eH330EQYPHoxt27ZhwIABqsfMmDEDbdq0wb333tuot+MSiaWa0tJSkyx6z549SExMNCaVADB06FDo9XpkZ2eLWbler4de/8stjVv/Y4nIfbC9E5EzqqysRGBgoEnZrFmzMHv2bPEYjcZ0mImiKHXKbkhISEBCwi9rkSYnJyMvLw8ZGRmqieX8+fPxj3/8A9u2bYOPj08j3omLJpanT5/GkiVLsHDhQmNZYWFhnew9ODgYWq1WzOABID09Ha+++qrN6kpEzoPtnYiapNYWWzoqaNGiBQoKCkyK1XorASA0NBSenp51cpuioqI6eZA5d999N1avXl2nPCMjA3/+85/x1VdfoXv37g0+3w0OTSxnz55d7y/5/fv3o1evXsafz58/j/vuuw8jR440Dlq9QS1TN5fBA8DMmTMxZcovY9nKysoQHR3d0LdAzUin194QY4YA+ZfNxH//VoxpHpY/m66s7JE7VMul3Urshe0d0HrIk1/8d5mZMKaRY9H58s4refer3zrUmtnlx9zuNQXJ8tdWdaD6gboRXcVjLiXLk3CUavnzqs1X/9JvaW4C7bBLZoLOLeS4/LnJHSb/HguKcbMJeba6Fa5Bg4fsabVaJCUlISsrCw8//LCxPCsrCyNGjGjwy+bk5CAyMtKkbMGCBXjttdewefNmk9yrMRyaWE6cOBGjRslb4QFAbGys8d/nz59HSkoKkpOTsXy56cD0iIgIfPPNNyZlly9fRnV1tdkMXhrDQETuh+2diNzBlClTMGbMGPTq1cuYE+Xm5uKZZ54BcP2P6Pz8fHz44YcArs8aj42NRbdu3VBVVYXVq1dj3bp1WLdunfGc8+fPx//93//h73//O2JjY409on5+fvDz82tw3RyaWIaGhiI01My6EjfJz89HSkoKkpKSsHLlSnh4mP4lmZycjHnz5qGgoMCYgWdmZkKn0yEpKcnqdSciIqJmxkmWG3rsscdQUlKCOXPmoKCgAImJidi4cSPatWsHACgoKDBZ07KqqgpTp05Ffn4+fH190a1bN2zYsAH333+/8TlLly5FVVUVHn30UZPXqm+s561cYozl+fPnMWjQIMTExCAjIwPFxb/cQ4mIiABwfZp9165dMWbMGCxYsACXLl3C1KlTMX78eM4IJyIiIrcyYcIETJigvnzYqlWrTH6eNm0apk2bZvZ8Z8+etUq9XCKxzMzMxKlTp3Dq1Cm0bWu6gK/yv0zf09MTGzZswIQJE9C3b1+TBdKJrKLLz2IoYKt8m2Dcs5vE2Psnk5tUJVsb4jFSjHm1jxVj2k5h6uVXDOj3+l4zrzi5gTUjW9D+Sh74eCVb/f8UANo9dlaM6cvV/7DvkHhRPGbf153FmFeFPJ7Po6bxY5ZD9shDI+55Rv6sfrL7TtXynz3lBcHvbHWh4RVzkM6z1MeSG8yMbQ2Q19xHmT64qVVyHgqAWufosXRmLpFYpqWlIS0trd7nxcTE4Msvv7R9hYjIIuaTSrIHc4vQ9/7Pn+xYEyJyRy6RWBIRERE5lgJFsc1yQ+7EeTcmJSIiIiKXwh5LIiIiooawxRhLW5zTgZhYEt2iY7r64PWYuy+Lx8SnnRJji3fL+6y2OuAtV+RBOeQMigdGijF9sPokii8+7I8Hx+60VZXIhrzluWs4fDBOjKXds121/N95ieIxhlbVYqzVYbnNlLZXvwl3pYN4CKrjromxry/I7+up/jtUy9euVd8+GAC0HmZWfndyoUnyxKMgn6tmjz1xsJ21q+M4TrLckDNjYklEoqzaf4mxXk8vsuic87qvt7Q6ZGP77vuzGOu2Xd55itzH8VfVV2ZIzpxh8Tl/nDSl/ieR22BiSURERNQQNtkr3AbndCBO3iEiIiIiq2CPJREREVF9FNhojKX1T+lITCzJpZnbGebkst5iLHqTvENHh5x89WOGXBKP2flFDzHmGSL/1riSoCDoRON3C3EGHccfNxv//pMudqoJWUvPCfI4yorb5IknYbFy23j/QF/V8o2D3xSPeUb7uBjDGDlUlBeqWu5VpBWP8cr1EWMXtfJ7XlmsvmvWut+bH4v618IhZuPOqrJKnjRVWeWNqIAyO9aGnBkTSyIHO/iOe25jeDjDPd8XUVN80HuFo6tgE5sG/NXRVbADBYoNxlja4pyOxDGWRERERGQV7LEkIiIiagibrDnpXoMsmViSxZLGy2OJst9r/G1Qc+MlvTrGq5aXPaE+zgkAIrfJjTV/oDyu0bdzjGr5saPh4jE6My3ptl4/ykEiF6ExyG2muDhAjE3ovU21fPjn8tqGSoC8QHpSh1wxFtapQrVc27lGPGb/DnkscG2Brxj7Vb+DquV7r6r/rrrhDrNRcnrceadeTCyJyCL/uHu5o6tAVpazVP6DMO6thXasCTmbb38119FVIBfBxJKIiIioIWyxmLmbbenIyTtEREREZBXssSQiIiKqjwIoNhgPqbhZjyUTS7JYy1HnVcuLy/zQ5dNX1Q/KkQf5hzxylxi79vRl1fIWy+XbEn775UH+pe3jxFiH4adVy6tqPcVjzvqHiLEfisPQKaxYjBO5goQ/fS/Gfphzmxh7/1+pquXeiT+Lx1SVyIuW3x7wkxjbdL6rannB+WDxGEToxVBYmLzo9/Ott4qxrIoE+fWI3BwTSyI7+LzfW46uAhHZyYQEOekkV6bYaIwlF0gnIiIiIqrDZRLLBx98EDExMfDx8UFkZCTGjBmD8+dNb8Xm5ubigQceQMuWLREaGornn38eVVVVDqoxERERuROlVrHBw9HvyrpcJrFMSUnBP//5T5w4cQLr1q3D6dOn8eijjxrjBoMBw4cPR0VFBXbt2oW1a9di3bp1ePHFFx1YayIiInIbSq1tHm7EZcZYTp78y8K97dq1w4wZM/DQQw+huroa3t7eyMzMxNGjR5GXl4eoqCgAwMKFC5GWloZ58+YhIECeNELWtSZphRj7e3t5p5xP2vYSY0EbQlXLz/eTZ9MFhckTdGp6yhMHfigOUy2/WtxCPAYAfMMqzcaJ3FW7jfJOORcnqreL9iEl4jHHIO9y9dGx3mKsexv1CYUXytTbNAAExF8RY8V58qSfIXmTkXW/vPsYuRcPDw/UoAaKokCjkXehskQNquHh4TL9fPVymcTyZpcuXcKaNWvQp08feHt7AwD27NmDxMREY1IJAEOHDoVer0d2djZSUlIcVV23tWPwAtXyg7kf27kmzuHYw7McXQUim/lP2UoxlpL6FzvWxHl0bKueyJL76dOnDzTQoAg/IRzRVj13Hk7h8dGjrXpOR3KpFHn69Olo2bIlWrVqhdzcXHz++efGWGFhIcLDTf/KDQ4OhlarRWFhoXhOvV6PsrIykwcRuSe2dyKyhFarRRy64Eccs+q6k2XKZZTgAqZPn261czqaQxPL2bNnQ6PRmH0cOHDA+Pw//vGPyMnJQWZmJjw9PTF27FiT/2C17un6uq3T09MRGBhofERHW/cvESJyHmzvRGSpb/V7UINqFEFeS7WxzuAY2iAOkZGRVjunozn0VvjEiRMxatQos8+JjY01/js0NBShoaHo1KkTunTpgujoaOzduxfJycmIiIjAN998Y3Ls5cuXUV1dXacn82YzZ87ElClTjD+XlZXxy8YKjlfJjaS9T5EY848Qxj5+F4QaYYhjq8Pq5QYtUOMrvhSCP2upWl72SDlqD6uMyY2ogWeA+lgyQ5m3/ELkNNjebac8Wm4DHv8Nqls4sgSnNsSrH9DrZ0QEqfcmF1wKhI9OHtPZL/hUnbIcxCPtnu2qz19/7nY8HndANbY0/x4kdz+pGtvzXUexDuSebu61bK20bfJYyxu9lT+dz7NSDZ2DQxPLG4miJW70VOr113dNSE5Oxrx581BQUGDM/DMzM6HT6ZCUlCSeR6fTQafTWVQHUmf1pBJodFIJWJZUAlBPKgExqawvRs6D7d02Gp1UAnJSCYhJJYBGJ5UAxKQSgJhUAhCTyvpi5L6+1e9BgC7IKmMt3bG3EnCRyTv79u3Dvn370K9fPwQHB+PHH3/EK6+8gvj4eCQnX59lnJqaiq5du2LMmDFYsGABLl26hKlTp2L8+PGcEU5ERERNZq1eS3ftrQRcZPKOr68v1q9fj8GDByMhIQFPPfUUEhMTsX37dmPvg6enJzZs2AAfHx/07dsXv/nNb/DQQw8hIyPDwbUnIiIid2GNsZbu2lsJuEiP5W233YYtW7bU+7yYmBh8+eWXdqgRERERNUdN7bV0595KwEUSS3Itb5wcLMZGtssRY+YWTD4Sqj5OS/GUG3RlG3k3g3KzGx0o8L7iEp35RE6h5B69GFOqhbZ01VM85p5geX3IXJ28aLklrtV6w8eDY6SpcZoy1tKdeysBJpZEqk68Mrn+JxGRW5jWdZOjq0AuxtJeS3fvrQRcZIwlERERkTOxZKylu/dWAuyxJCIiImq0xvZaNofeSoA9lkREREQWaUyvZXPorQTYY0l2lnctxKLjuvU5jSO75QWVicg5aX5W/5rRmJlAt2HXHRje76CNakRkPQ3ttWwuvZUAE0uygf3D/izGnjv4hMXnPTWNE2qInNGZJ2aKsbi3Flp0ziV3rLG0OkR21ZAZ4s2ltxJgYklERERksfp6LZtTbyXAMZZERERETWJurGVz6q0E2GNJRERE1CRSr2Vz660E2GNJLuLzfm85ugpEREQitV7L5tZbCbDHkuyMA/KJmpczE190dBWI7OLWXstyXGl2vZUAeyyJiIiIrOLmXsvm2FsJsMeSiIiIyCpu9Fr+gO9Qjapm11sJMLGsQ1EUAEBZWZmDa0JE9bnRTm+028ZieydyLU1t8/bwrX4PgnQhaIv2za63EmBiWUd5eTkAIDpafZFTInI+5eXlCAwMtOg4gO2dyNVY2ubtQavVolL52dHVcBiN4sxpvwPU1tbi/Pnz8Pf3R3l5OaKjo5GXl4eAgABHV81tlZWV8TrbgTteZ0VRUF5ejqioKHh4NH7I+M3tXaPRuOU1cka8zvbhjte5qW2ebI89lrfw8PBA27ZtAcC4DlVAQIDbNEpnxutsH+52nZvSa3Fze7+Zu10jZ8XrbB/udp2dtaeSrmO6T0RERERWwcSSiIiIiKzCc/bs2bMdXQln5unpiUGDBsHLi6MGbInX2T54nevHa2QfvM72wetM9sbJO0RERERkFbwVTkRERERWwcSSiIiIiKyCiSURERERWQUTS8HSpUsRFxcHHx8fJCUlYefOnY6ukktLT0/HnXfeCX9/f7Ru3RoPPfQQTpw4YfIcRVEwe/ZsREVFwdfXF4MGDcKRI0ccVGP3kJ6eDo1Gg0mTJhnLeJ3Vsc1bF9u8Y7DNk6MxsVTx8ccfY9KkSXjppZeQk5OD/v37Y9iwYcjNzXV01VzW9u3b8eyzz2Lv3r3IyspCTU0NUlNTUVFRYXzO/PnzsWjRIrz11lvYv38/IiIiMGTIEOO2e9Q4+/fvx/Lly9G9e3eTcl7nutjmrY9t3v7Y5skpKFRH7969lWeeecaBfuZ4AAAIjElEQVSkrHPnzsqMGTMcVCP3U1RUpABQtm/friiKotTW1ioRERHK66+/bnzOtWvXlMDAQGXZsmWOqqbLKi8vVzp27KhkZWUpAwcOVF544QVFUXidJWzztsc2b1ts8+Qs2GN5i6qqKmRnZyM1NdWkPDU1Fbt373ZQrdxPaWkpACAkJAQAcObMGRQWFppcd51Oh4EDB/K6W+DZZ5/F8OHDce+995qU8zrXxTZvH2zztsU2T86CK6be4uLFizAYDAgPDzcpDw8PR2FhoYNq5V4URcGUKVPQr18/JCYmAoDx2qpd93Pnztm9jq5s7dq1OHjwIPbv318nxutcF9u87bHN2xbbPDkTJpYCjUZj8rOiKHXKyDITJ07Ed999h127dtWJ8bo3TV5eHl544QVkZmbCx8dHfB6vc128JrbDNm87bPPkbHgr/BahoaHw9PSs01NRVFRU5y8+arznnnsOX3zxBbZu3Yq2bdsayyMiIgCA172JsrOzUVRUhKSkJHh5ecHLywvbt2/Hm2++CS8vL+O15HX+Bdu8bbHN2xbbPDkbJpa30Gq1SEpKQlZWlkl5VlYW+vTp46BauT5FUTBx4kSsX78eW7ZsQVxcnEk8Li4OERERJte9qqoK27dv53VvhMGDB+Pw4cM4dOiQ8dGrVy888cQTOHToENq3b8/rfAu2edtgm7cPtnlyOo6aNeTM1q5dq3h7eysrVqxQjh49qkyaNElp2bKlcvbsWUdXzWX94Q9/UAIDA5Vt27YpBQUFxkdlZaXxOa+//roSGBiorF+/Xjl8+LAyevRoJTIyUikrK3NgzV3fzTNEFYXXWQ3bvPWxzTsO2zw5EhNLwdtvv620a9dO0Wq1yh133GFcIoMsA0D1sXLlSuNzamtrlVmzZikRERGKTqdTBgwYoBw+fNhxlXYTt37J8DqrY5u3LrZ5x2GbJ0fSKIqiOKavlIiIiIjcCcdYEhEREZFVMLEkIiIiIqtgYklEREREVsHEkoiIiIisgoklEREREVkFE0siIiIisgomlkRERERkFUwsiYiIiMgqmFiS3QwaNAiTJk1ym9dMS0vDQw89ZJNzE7kDtnmi5sfL0RUgsqX169fD29vb+HNsbCwmTZpk9y87IrIPtnkix2JiSW4tJCTE0VUgIjtimydyLN4KJ4e4fPkyxo4di+DgYLRo0QLDhg3DyZMnjfFVq1YhKCgImzdvRpcuXeDn54f77rsPBQUFxufU1NTg+eefR1BQEFq1aoXp06dj3LhxJreqbr4tNmjQIJw7dw6TJ0+GRqOBRqMBAMyePRs9evQwqd/ixYsRGxtr/NlgMGDKlCnG15o2bRoURTE5RlEUzJ8/H+3bt4evry9uv/12fPLJJ1a7ZkSujG2eqHlgYkkOkZaWhgMHDuCLL77Anj17oCgK7r//flRXVxufU1lZiYyMDHz00UfYsWMHcnNzMXXqVGP8L3/5C9asWYOVK1fi66+/RllZGT777DPxNdevX4+2bdtizpw5KCgoMPnCqs/ChQvx/vvvY8WKFdi1axcuXbqETz/91OQ5L7/8MlauXIl33nkHR44cweTJk/Hkk09i+/btjbgyRO6JbZ6oeeCtcLK7kydP4osvvsDXX3+NPn36AADWrFmD6OhofPbZZxg5ciQAoLq6GsuWLUN8fDwAYOLEiZgzZ47xPEuWLMHMmTPx8MMPAwDeeustbNy4UXzdkJAQeHp6wt/fHxEREY2q8+LFizFz5kz8+te/BgAsW7YMmzdvNsYrKiqwaNEibNmyBcnJyQCA9u3bY9euXXj33XcxcODARr0ekTthmydqPphYkt0dO3YMXl5euOuuu4xlrVq1QkJCAo4dO2Ysa9GihfELBgAiIyNRVFQEACgtLcWFCxfQu3dvY9zT0xNJSUmora21an1LS0tRUFBg/PIAAC8vL/Tq1ct4a+zo0aO4du0ahgwZYnJsVVUVevbsadX6ELkatnmi5oOJJdndreOUbi6/MQYKgMnMTgDQaDR1jr35+ebObY6Hh0ed426+PdcQN77YNmzYgDZt2pjEdDpdo+tE5E7Y5omaD46xJLvr2rUrampq8M033xjLSkpK8MMPP6BLly4NOkdgYCDCw8Oxb98+Y5nBYEBOTo7Z47RaLQwGg0lZWFgYCgsLTb5oDh06ZPJakZGR2Lt3r7GspqYG2dnZJu9Jp9MhNzcXHTp0MHlER0c36D0RuSu2eaLmgz2WZHcdO3bEiBEjMH78eLz77rvw9/fHjBkz0KZNG4wYMaLB53nuueeQnp6ODh06oHPnzliyZAkuX75cp0fjZrGxsdixYwdGjRoFnU6H0NBQDBo0CMXFxZg/fz4effRR/Oc//8GmTZsQEBBgPO6FF17A66+/jo4dO6JLly5YtGgRrly5Yoz7+/tj6tSpmDx5Mmpra9GvXz+UlZVh9+7d8PPzw7hx4yy7WERugG2eqPlgjyU5xMqVK5GUlIRf/epXSE5OhqIo2LhxY51bYeZMnz4do0ePxtixY5GcnAw/Pz8MHToUPj4+4jFz5szB2bNnER8fj7CwMABAly5dsHTpUrz99tu4/fbbsW/fPpOZqADw4osvYuzYsUhLS0NycjL8/f2NEwhumDt3Ll555RWkp6ejS5cuGDp0KP79738jLi6uEVeGyD2xzRM1DxrFkgEqRE6otrYWXbp0wW9+8xvMnTvX0dUhIhtjmydyPrwVTi7r3LlzyMzMxMCBA6HX6/HWW2/hzJkzePzxxx1dNSKyAbZ5IufHW+Hksjw8PLBq1Srceeed6Nu3Lw4fPoyvvvqqwZMBiMi1sM0TOT/eCiciIiIiq2CPJRERERFZBRNLIiIiIrIKJpZEREREZBVMLImIiIjIKphYEhEREZFVMLEkIiIiIqtgYklEREREVsHEkoiIiIisgoklEREREVnF/wN12Zb7aI3aawAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 700x600 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "skill.where(skill>.5).plot(col=group, col_wrap=2, robust=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e9f38387-1147-49f1-b8a4-25775314f294",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}

I am facing error running the example:

obs.isel(valid_time=-1).to_array().plot(robust=True)
Traceback (most recent call last):

Cell In[13], line 1
obs.isel(valid_time=-1).to_array().plot(robust=True)

File /opt/anaconda3/lib/python3.11/site-packages/xarray/core/dataset.py:2948 in isel
indexers = drop_dims_from_indexers(indexers, self.dims, missing_dims)

File /opt/anaconda3/lib/python3.11/site-packages/xarray/core/utils.py:824 in drop_dims_from_indexers
raise ValueError(

ValueError: Dimensions {'valid_time'} do not exist. Expected one or more of FrozenMappingWarningOnValuesAccess({'latitude': 400, 'longitude': 1440, 'time': 365})