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   "id": "9fa1910a-6db7-4592-986c-e80ac015ac26",
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   "source": [
    "# Calculate distances and find neighbors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a293cd46-83e6-4d73-adcc-ee9a6724739f",
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    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import xarray as xr\n",
    "\n",
    "import poligrain as plg"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee6c19b3-d6a9-4669-b7c8-53894c1ceee6",
   "metadata": {},
   "source": [
    "## Point-to-point distances"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "19f3e1b8-51ad-4a72-8413-7cb619c9dee3",
   "metadata": {},
   "source": [
    "### Get PWS dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "df67e076-5ca4-43b2-92dc-552d19efc32a",
   "metadata": {},
   "outputs": [],
   "source": [
    "!curl -OL https://github.com/OpenSenseAction/training_school_opensene_2023/raw/main/data/pws/data_PWS_netCDF_AMS_float.nc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "61b86248-8c91-4a9d-ba26-a3e168d31945",
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   "outputs": [],
   "source": [
    "ds_pws = xr.open_dataset(\"data_PWS_netCDF_AMS_float.nc\")\n",
    "\n",
    "# fix some issues with this dataset\n",
    "ds_pws[\"time\"] = pd.to_datetime(ds_pws.time.data, unit=\"s\")\n",
    "ds_pws[\"lon\"] = (\"id\", ds_pws.lon.data)\n",
    "ds_pws[\"lat\"] = (\"id\", ds_pws.lat.data)"
   ]
  },
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   "cell_type": "markdown",
   "id": "bf4ef4f3-640a-4c9c-b32f-8af551ee0821",
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   "source": [
    "### Project cooridnates from lon-lat to UTM zone for Europe\n",
    "\n",
    "To do meaningful distance calculations we have to project the lon-lat coordinates first.\n",
    "\n",
    "Info on the UTM zone 32N projection `'EPSG:25832'` that is used can be found [here](https://epsg.io/25832#google_vignette)\n",
    "\n",
    "Note that `plg.spatial.project_coordinates` can also use a different source coordinate system, but its default is WGS 84 (lon and lat in degrees), which is `'EPSG:4326'` "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5040ff46-0608-4496-8e08-60ceb42c3464",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_pws.coords[\"x\"], ds_pws.coords[\"y\"] = plg.spatial.project_point_coordinates(\n",
    "    ds_pws.lon, ds_pws.lat, \"EPSG:25832\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "89ea4f3f-e2c2-46ff-885c-e518170ef69b",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 237MB\n",
       "Dimensions:    (time: 219168, id: 134)\n",
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       "  * time       (time) datetime64[ns] 2MB 2016-05-01T00:05:00 ... 2018-06-01\n",
       "  * id         (id) &lt;U6 3kB &#x27;ams1&#x27; &#x27;ams2&#x27; &#x27;ams3&#x27; ... &#x27;ams132&#x27; &#x27;ams133&#x27; &#x27;ams134&#x27;\n",
       "    elevation  (id) &lt;U3 2kB ...\n",
       "    lat        (id) float64 1kB 52.31 52.3 52.31 52.35 ... 52.43 52.3 52.26\n",
       "    lon        (id) float64 1kB 4.671 4.675 4.677 4.678 ... 5.036 5.041 5.045\n",
       "    x          (id) float64 1kB 2.049e+05 2.052e+05 ... 2.301e+05 2.301e+05\n",
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       "Data variables:\n",
       "    rainfall   (id, time) float64 235MB ...\n",
       "Attributes:\n",
       "    title:         PWS data from Amsterdam\n",
       "    institution:   Wageningen University and Research, Department of Environm...\n",
       "    history:       Test Version 0.1\n",
       "    references:    https://doi.org/10.1029/2019GL083731\n",
       "    date_created:  2022-10-18 10:32:00\n",
       "    Conventions:   OPENSENSE V0\n",
       "    location:      Amsterdam Metropolitan Area\n",
       "    source:        Netamo\n",
       "    comment:       </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-e6ac5ec2-d3a7-4553-a0df-d1535ee7e7d5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e6ac5ec2-d3a7-4553-a0df-d1535ee7e7d5' 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>: 219168</li><li><span class='xr-has-index'>id</span>: 134</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f4156711-9c95-4072-b55b-8129bc6cf29d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f4156711-9c95-4072-b55b-8129bc6cf29d' class='xr-section-summary' >Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2016-05-01T00:05:00 ... 2018-06-01</div><input id='attrs-b97a6afe-28cf-4f92-ac1b-036822de3980' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b97a6afe-28cf-4f92-ac1b-036822de3980' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6273d32e-9b34-4de7-8a2f-7c16809a00e7' class='xr-var-data-in' type='checkbox'><label for='data-6273d32e-9b34-4de7-8a2f-7c16809a00e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2016-05-01T00:05:00.000000000&#x27;, &#x27;2016-05-01T00:10:00.000000000&#x27;,\n",
       "       &#x27;2016-05-01T00:15:00.000000000&#x27;, ..., &#x27;2018-05-31T23:50:00.000000000&#x27;,\n",
       "       &#x27;2018-05-31T23:55:00.000000000&#x27;, &#x27;2018-06-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>id</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>&lt;U6</div><div class='xr-var-preview xr-preview'>&#x27;ams1&#x27; &#x27;ams2&#x27; ... &#x27;ams133&#x27; &#x27;ams134&#x27;</div><input id='attrs-59feca8f-69c6-4401-a7f7-c0cbe3ded98a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-59feca8f-69c6-4401-a7f7-c0cbe3ded98a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f25bde6-7f6c-493f-95f7-3cd364abf327' class='xr-var-data-in' type='checkbox'><label for='data-2f25bde6-7f6c-493f-95f7-3cd364abf327' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;ams1&#x27;, &#x27;ams2&#x27;, &#x27;ams3&#x27;, &#x27;ams4&#x27;, &#x27;ams5&#x27;, &#x27;ams6&#x27;, &#x27;ams7&#x27;, &#x27;ams8&#x27;, &#x27;ams9&#x27;,\n",
       "       &#x27;ams10&#x27;, &#x27;ams11&#x27;, &#x27;ams12&#x27;, &#x27;ams13&#x27;, &#x27;ams14&#x27;, &#x27;ams15&#x27;, &#x27;ams16&#x27;, &#x27;ams17&#x27;,\n",
       "       &#x27;ams18&#x27;, &#x27;ams19&#x27;, &#x27;ams20&#x27;, &#x27;ams21&#x27;, &#x27;ams22&#x27;, &#x27;ams23&#x27;, &#x27;ams24&#x27;, &#x27;ams25&#x27;,\n",
       "       &#x27;ams26&#x27;, &#x27;ams27&#x27;, &#x27;ams28&#x27;, &#x27;ams29&#x27;, &#x27;ams30&#x27;, &#x27;ams31&#x27;, &#x27;ams32&#x27;, &#x27;ams33&#x27;,\n",
       "       &#x27;ams34&#x27;, &#x27;ams35&#x27;, &#x27;ams36&#x27;, &#x27;ams37&#x27;, &#x27;ams38&#x27;, &#x27;ams39&#x27;, &#x27;ams40&#x27;, &#x27;ams41&#x27;,\n",
       "       &#x27;ams42&#x27;, &#x27;ams43&#x27;, &#x27;ams44&#x27;, &#x27;ams45&#x27;, &#x27;ams46&#x27;, &#x27;ams47&#x27;, &#x27;ams48&#x27;, &#x27;ams49&#x27;,\n",
       "       &#x27;ams50&#x27;, &#x27;ams51&#x27;, &#x27;ams52&#x27;, &#x27;ams53&#x27;, &#x27;ams54&#x27;, &#x27;ams55&#x27;, &#x27;ams56&#x27;, &#x27;ams57&#x27;,\n",
       "       &#x27;ams58&#x27;, &#x27;ams59&#x27;, &#x27;ams60&#x27;, &#x27;ams61&#x27;, &#x27;ams62&#x27;, &#x27;ams63&#x27;, &#x27;ams64&#x27;, &#x27;ams65&#x27;,\n",
       "       &#x27;ams66&#x27;, &#x27;ams67&#x27;, &#x27;ams68&#x27;, &#x27;ams69&#x27;, &#x27;ams70&#x27;, &#x27;ams71&#x27;, &#x27;ams72&#x27;, &#x27;ams73&#x27;,\n",
       "       &#x27;ams74&#x27;, &#x27;ams75&#x27;, &#x27;ams76&#x27;, &#x27;ams77&#x27;, &#x27;ams78&#x27;, &#x27;ams79&#x27;, &#x27;ams80&#x27;, &#x27;ams81&#x27;,\n",
       "       &#x27;ams82&#x27;, &#x27;ams83&#x27;, &#x27;ams84&#x27;, &#x27;ams85&#x27;, &#x27;ams86&#x27;, &#x27;ams87&#x27;, &#x27;ams88&#x27;, &#x27;ams89&#x27;,\n",
       "       &#x27;ams90&#x27;, &#x27;ams91&#x27;, &#x27;ams92&#x27;, &#x27;ams93&#x27;, &#x27;ams94&#x27;, &#x27;ams95&#x27;, &#x27;ams96&#x27;, &#x27;ams97&#x27;,\n",
       "       &#x27;ams98&#x27;, &#x27;ams99&#x27;, &#x27;ams100&#x27;, &#x27;ams101&#x27;, &#x27;ams102&#x27;, &#x27;ams103&#x27;, &#x27;ams104&#x27;,\n",
       "       &#x27;ams105&#x27;, &#x27;ams106&#x27;, &#x27;ams107&#x27;, &#x27;ams108&#x27;, &#x27;ams109&#x27;, &#x27;ams110&#x27;, &#x27;ams111&#x27;,\n",
       "       &#x27;ams112&#x27;, &#x27;ams113&#x27;, &#x27;ams114&#x27;, &#x27;ams115&#x27;, &#x27;ams116&#x27;, &#x27;ams117&#x27;, &#x27;ams118&#x27;,\n",
       "       &#x27;ams119&#x27;, &#x27;ams120&#x27;, &#x27;ams121&#x27;, &#x27;ams122&#x27;, &#x27;ams123&#x27;, &#x27;ams124&#x27;, &#x27;ams125&#x27;,\n",
       "       &#x27;ams126&#x27;, &#x27;ams127&#x27;, &#x27;ams128&#x27;, &#x27;ams129&#x27;, &#x27;ams130&#x27;, &#x27;ams131&#x27;, &#x27;ams132&#x27;,\n",
       "       &#x27;ams133&#x27;, &#x27;ams134&#x27;], dtype=&#x27;&lt;U6&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>elevation</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fbfa73ac-4ebd-4928-b15e-96626c90a390' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fbfa73ac-4ebd-4928-b15e-96626c90a390' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c28a61c-ef8c-4c08-8a02-bcb1128fa2de' class='xr-var-data-in' type='checkbox'><label for='data-8c28a61c-ef8c-4c08-8a02-bcb1128fa2de' 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>[134 values with dtype=&lt;U3]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>52.31 52.3 52.31 ... 52.3 52.26</div><input id='attrs-fc4d8d6c-da4d-44e5-8d50-43cee29fa10a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fc4d8d6c-da4d-44e5-8d50-43cee29fa10a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4023306a-30d7-4056-b983-59fb91b91202' class='xr-var-data-in' type='checkbox'><label for='data-4023306a-30d7-4056-b983-59fb91b91202' 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([52.305896  , 52.302044  , 52.308427  , 52.3460125 , 52.3185718 ,\n",
       "       52.29778   , 52.296925  , 52.2934974 , 52.29419571, 52.25049431,\n",
       "       52.24811396, 52.26693085, 52.260747  , 52.38318474, 52.2609028 ,\n",
       "       52.3795406 , 52.3742245 , 52.385828  , 52.351625  , 52.27627871,\n",
       "       52.25582208, 52.43208637, 52.34437   , 52.279142  , 52.36049   ,\n",
       "       52.277776  , 52.37934869, 52.3554281 , 52.43358697, 52.355287  ,\n",
       "       52.35273245, 52.3456794 , 52.355926  , 52.27835152, 52.27971491,\n",
       "       52.283123  , 52.436889  , 52.431829  , 52.28069   , 52.2926813 ,\n",
       "       52.3876584 , 52.36617   , 52.3155607 , 52.3561545 , 52.353684  ,\n",
       "       52.35675837, 52.34473808, 52.344777  , 52.324336  , 52.311689  ,\n",
       "       52.3743658 , 52.3267374 , 52.311614  , 52.368619  , 52.365304  ,\n",
       "       52.3114207 , 52.3360639 , 52.36694431, 52.345668  , 52.361872  ,\n",
       "       52.3774156 , 52.3544442 , 52.37659878, 52.30656433, 52.347122  ,\n",
       "       52.347146  , 52.364318  , 52.420592  , 52.3922401 , 52.37126378,\n",
       "       52.384832  , 52.2956804 , 52.3383171 , 52.3702157 , 52.304167  ,\n",
       "       52.3477135 , 52.3474113 , 52.35736482, 52.42248595, 52.3630175 ,\n",
       "       52.296284  , 52.430344  , 52.37586384, 52.385221  , 52.40346573,\n",
       "       52.352911  , 52.313202  , 52.4287962 , 52.291897  , 52.291065  ,\n",
       "       52.3438503 , 52.2958859 , 52.342303  , 52.370533  , 52.29106666,\n",
       "       52.38675   , 52.389641  , 52.29942216, 52.356894  , 52.42842   ,\n",
       "       52.349484  , 52.37919928, 52.360095  , 52.35515544, 52.37839   ,\n",
       "       52.36428   , 52.39224409, 52.40145   , 52.3182354 , 52.3340836 ,\n",
       "       52.33424189, 52.3416245 , 52.33705723, 52.33636389, 52.337291  ,\n",
       "       52.271513  , 52.3819577 , 52.269474  , 52.334801  , 52.353509  ,\n",
       "       52.300295  , 52.2996697 , 52.32541   , 52.26782176, 52.326555  ,\n",
       "       52.36057803, 52.247674  , 52.427009  , 52.262895  , 52.313112  ,\n",
       "       52.30725   , 52.4314243 , 52.301688  , 52.2634545 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.671 4.675 4.677 ... 5.041 5.045</div><input id='attrs-138d4eef-ccfe-493d-a907-a7edef282ee2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-138d4eef-ccfe-493d-a907-a7edef282ee2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee4ccfd2-8447-4395-ac19-e08b278c95f8' class='xr-var-data-in' type='checkbox'><label for='data-ee4ccfd2-8447-4395-ac19-e08b278c95f8' 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([4.670664  , 4.67494   , 4.677275  , 4.6775537 , 4.6785928 ,\n",
       "       4.678602  , 4.678811  , 4.6914236 , 4.69311403, 4.69746144,\n",
       "       4.70325708, 4.71668363, 4.721024  , 4.7266384 , 4.7294838 ,\n",
       "       4.7443698 , 4.7464102 , 4.750101  , 4.756874  , 4.76169092,\n",
       "       4.76310423, 4.77926731, 4.78131   , 4.783426  , 4.789773  ,\n",
       "       4.795101  , 4.80228758, 4.8053591 , 4.80548646, 4.80853   ,\n",
       "       4.80870933, 4.8096695 , 4.815386  , 4.81591776, 4.81805215,\n",
       "       4.820963  , 4.823946  , 4.830253  , 4.831394  , 4.8382181 ,\n",
       "       4.8407331 , 4.84121   , 4.8443933 , 4.8457529 , 4.846606  ,\n",
       "       4.84722229, 4.85252214, 4.852834  , 4.857523  , 4.861786  ,\n",
       "       4.86189724, 4.8644629 , 4.866243  , 4.866419  , 4.868215  ,\n",
       "       4.870087  , 4.8724196 , 4.87465899, 4.876575  , 4.877924  ,\n",
       "       4.8779407 , 4.8789889 , 4.88051044, 4.88236411, 4.885412  ,\n",
       "       4.885653  , 4.886345  , 4.887069  , 4.8906832 , 4.89147718,\n",
       "       4.8918962 , 4.8930799 , 4.8951159 , 4.8951679 , 4.896876  ,\n",
       "       4.897039  , 4.8970442 , 4.89851619, 4.89944615, 4.8997121 ,\n",
       "       4.899845  , 4.900383  , 4.90048094, 4.900914  , 4.90278912,\n",
       "       4.903877  , 4.905173  , 4.9058957 , 4.906561  , 4.90671   ,\n",
       "       4.9072082 , 4.909413  , 4.90966   , 4.911188  , 4.91129446,\n",
       "       4.9164974 , 4.91687   , 4.91849311, 4.919527  , 4.91978   ,\n",
       "       4.923808  , 4.92543972, 4.925732  , 4.92613967, 4.928533  ,\n",
       "       4.928972  , 4.92969803, 4.94701   , 4.9542801 , 4.95708   ,\n",
       "       4.95919931, 4.9594646 , 4.96209728, 4.96230016, 4.96429   ,\n",
       "       4.964432  , 4.9651068 , 4.966738  , 4.969634  , 4.971247  ,\n",
       "       4.971332  , 4.9713795 , 4.974268  , 4.97452145, 4.978757  ,\n",
       "       4.97953569, 4.994072  , 4.996017  , 5.028072  , 5.03076   ,\n",
       "       5.032035  , 5.0356554 , 5.041156  , 5.0450199 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.049e+05 2.052e+05 ... 2.301e+05</div><input id='attrs-e0793aa3-cbc3-473a-94d2-f448872c8b20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0793aa3-cbc3-473a-94d2-f448872c8b20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-565e23bd-40c1-4ddf-956b-8999b5cd2023' class='xr-var-data-in' type='checkbox'><label for='data-565e23bd-40c1-4ddf-956b-8999b5cd2023' 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>projection :</span></dt><dd>EPSG:25832</dd></dl></div><div class='xr-var-data'><pre>array([204889.65032949, 205155.36294111, 205356.90100492, 205625.818236  ,\n",
       "       205514.11138754, 205376.54947783, 205385.1103298 , 206221.90677765,\n",
       "       206341.73778652, 206348.97691677, 206728.62908122, 207768.49236614,\n",
       "       208023.80696091, 209211.56827161, 208601.81532398, 210393.69016351,\n",
       "       210497.67044197, 210824.66618811, 211061.92518383, 210898.62198394,\n",
       "       210861.7616915 , 213108.98307981, 212678.04484145, 212399.08743477,\n",
       "       213358.60797536, 213186.21605642, 214332.08526108, 214386.58341132,\n",
       "       214900.02173575, 214601.48196273, 214597.21101653, 214617.08621134,\n",
       "       215072.21245107, 214609.17897794, 214763.46266675, 214983.80881446,\n",
       "       216175.38144685, 216571.33744103, 215679.30871151, 216221.26643397,\n",
       "       217000.45393709, 216895.3276126 , 216788.35550101, 217140.41031959,\n",
       "       217182.68142942, 217244.27455898, 217528.25921204, 217549.73816343,\n",
       "       217738.68322661, 217948.53311193, 218355.16068503, 218226.62375731,\n",
       "       218251.70197953, 218626.21879273, 218727.33842969, 218512.35835985,\n",
       "       218827.73163455, 219176.23631166, 219171.60278514, 219366.21870206,\n",
       "       219465.96880331, 219391.58091357, 219635.60029513, 219318.02725748,\n",
       "       219782.3936605 , 219798.95134484, 219954.75997552, 220360.36434395,\n",
       "       220426.58111969, 220347.91072304, 220462.21829609, 219979.4277554 ,\n",
       "       220387.36704529, 220592.39314061, 220291.68722484, 220577.62168174,\n",
       "       220576.06788123, 220739.08949791, 221213.4827266 , 220856.14866896,\n",
       "       220444.29614069, 221326.76921385, 220989.52218702, 221078.02528932,\n",
       "       221320.65151721, 221075.86349581, 220913.94101684, 221691.57230315,\n",
       "       220874.39709389, 220879.31681202, 221245.54361144, 221093.87479775,\n",
       "       221402.72283187, 221684.37242388, 221191.80687893, 222147.54824242,\n",
       "       222191.06239045, 221734.90609071, 222166.09447989, 222632.62192143,\n",
       "       222410.97979633, 222708.38516791, 222608.47225361, 222605.25032245,\n",
       "       222913.73430372, 222855.18800279, 223079.7946497 , 224314.54440248,\n",
       "       224290.7737958 , 224580.05580203, 224725.3551023 , 224789.30950394,\n",
       "       224940.18065344, 224949.68826494, 225090.93600014, 224692.42358812,\n",
       "       225423.8899139 , 224837.03428915, 225439.37382491, 225665.16761953,\n",
       "       225341.20215928, 225340.56584031, 225696.77061425, 225357.60541976,\n",
       "       226009.59435346, 226273.07687814, 226566.88672878, 227804.21015855,\n",
       "       228979.59042386, 229469.34772042, 229520.44396499, 230524.72755462,\n",
       "       230108.07662248, 230138.95066968])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.804e+06 5.803e+06 ... 5.798e+06</div><input id='attrs-22d02cf1-2277-4fc2-8be5-c133e785af9c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22d02cf1-2277-4fc2-8be5-c133e785af9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-656bacb1-4d4f-40bf-b0b7-167a2a04f3c6' class='xr-var-data-in' type='checkbox'><label for='data-656bacb1-4d4f-40bf-b0b7-167a2a04f3c6' 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>projection :</span></dt><dd>EPSG:25832</dd></dl></div><div class='xr-var-data'><pre>array([5803891.49555336, 5803445.90777479, 5804145.85080151,\n",
       "       5808322.29833911, 5805268.06302283, 5802957.04435908,\n",
       "       5802861.16080338, 5802428.87646955, 5802499.62784277,\n",
       "       5797624.6120552 , 5797336.53463638, 5799373.69615578,\n",
       "       5798668.83777567, 5812255.22073917, 5798652.04895386,\n",
       "       5811778.93559801, 5811179.86338354, 5812454.83096064,\n",
       "       5808626.00214559, 5800231.87831993, 5797952.44624591,\n",
       "       5817480.23564355, 5807722.16732955, 5800463.49739538,\n",
       "       5809480.34526123, 5800265.30872799, 5811526.98884112,\n",
       "       5808855.98163987, 5817543.15732629, 5808827.76991094,\n",
       "       5808543.1133459 , 5807755.34830493, 5808871.74242426,\n",
       "       5800246.94773232, 5800390.07475107, 5800757.42299891,\n",
       "       5817837.45105025, 5817250.22530232, 5800445.93566708,\n",
       "       5801752.02036354, 5812299.32496272, 5809908.90833957,\n",
       "       5804270.96207065, 5808777.84272946, 5808499.89482605,\n",
       "       5808839.21504936, 5807482.3714007 , 5807485.47853178,\n",
       "       5805195.03605123, 5803772.61784142, 5810739.06674607,\n",
       "       5805434.89274087, 5803746.90522612, 5810082.65669919,\n",
       "       5809707.18156238, 5803710.44777068, 5806440.60645054,\n",
       "       5809864.4473536 , 5807492.00617738, 5809287.94301037,\n",
       "...\n",
       "       5807640.06260072, 5807606.45085924, 5808707.16499843,\n",
       "       5815942.27071673, 5809330.88039236, 5801912.47750117,\n",
       "       5816812.1376436 , 5810755.87551754, 5811794.32050762,\n",
       "       5813815.12308711, 5808191.38803088, 5803772.44856706,\n",
       "       5816618.82253671, 5801398.89469411, 5801305.83724815,\n",
       "       5807171.3732937 , 5801831.28624132, 5806989.92661323,\n",
       "       5810122.01611095, 5801288.34084952, 5811904.2265107 ,\n",
       "       5812224.15137179, 5802189.39098031, 5808573.84475261,\n",
       "       5816523.57371793, 5807733.71431602, 5811030.54407721,\n",
       "       5808905.82458415, 5808355.18734573, 5810928.71740993,\n",
       "       5809358.58980476, 5812464.2492441 , 5813421.34381575,\n",
       "       5804143.55772464, 5805894.5534306 , 5805904.07603057,\n",
       "       5806723.71057343, 5806205.99669543, 5806128.15304154,\n",
       "       5806223.64079871, 5798911.28845222, 5811185.66229929,\n",
       "       5798675.86380139, 5805926.54427502, 5807999.99222574,\n",
       "       5802084.43383269, 5802014.74564239, 5804865.05537271,\n",
       "       5798462.6303236 , 5804975.3115962 , 5808754.35581588,\n",
       "       5796148.98797518, 5816076.58239877, 5797713.06071847,\n",
       "       5803285.17148981, 5802628.77479764, 5816418.70756985,\n",
       "       5801976.4206223 , 5797711.91648581])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7456aef8-d9d8-489a-8f5a-d39329e68e85' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7456aef8-d9d8-489a-8f5a-d39329e68e85' 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>rainfall</span></div><div class='xr-var-dims'>(id, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-618873e5-c5bf-46af-a170-151788dbd98b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-618873e5-c5bf-46af-a170-151788dbd98b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f4e3604-b26c-4364-97ed-a515d22916da' class='xr-var-data-in' type='checkbox'><label for='data-3f4e3604-b26c-4364-97ed-a515d22916da' 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>name :</span></dt><dd>rainfall</dd><dt><span>long_name :</span></dt><dd>rainfall amount per time unit</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>coverage_contant_type :</span></dt><dd>physicalMeasurement</dd></dl></div><div class='xr-var-data'><pre>[29368512 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-058ee143-a7e6-4020-a049-a1abf3a457c3' class='xr-section-summary-in' type='checkbox'  ><label for='section-058ee143-a7e6-4020-a049-a1abf3a457c3' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4633664f-d70e-4de6-8b1c-babac3ce835b' class='xr-index-data-in' type='checkbox'/><label for='index-4633664f-d70e-4de6-8b1c-babac3ce835b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2016-05-01 00:05:00&#x27;, &#x27;2016-05-01 00:10:00&#x27;,\n",
       "               &#x27;2016-05-01 00:15:00&#x27;, &#x27;2016-05-01 00:20:00&#x27;,\n",
       "               &#x27;2016-05-01 00:25:00&#x27;, &#x27;2016-05-01 00:30:00&#x27;,\n",
       "               &#x27;2016-05-01 00:35:00&#x27;, &#x27;2016-05-01 00:40:00&#x27;,\n",
       "               &#x27;2016-05-01 00:45:00&#x27;, &#x27;2016-05-01 00:50:00&#x27;,\n",
       "               ...\n",
       "               &#x27;2018-05-31 23:15:00&#x27;, &#x27;2018-05-31 23:20:00&#x27;,\n",
       "               &#x27;2018-05-31 23:25:00&#x27;, &#x27;2018-05-31 23:30:00&#x27;,\n",
       "               &#x27;2018-05-31 23:35:00&#x27;, &#x27;2018-05-31 23:40:00&#x27;,\n",
       "               &#x27;2018-05-31 23:45:00&#x27;, &#x27;2018-05-31 23:50:00&#x27;,\n",
       "               &#x27;2018-05-31 23:55:00&#x27;, &#x27;2018-06-01 00:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=219168, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>id</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-95d0fae0-0cd4-42d4-be33-ac366ecae527' class='xr-index-data-in' type='checkbox'/><label for='index-95d0fae0-0cd4-42d4-be33-ac366ecae527' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;ams1&#x27;, &#x27;ams2&#x27;, &#x27;ams3&#x27;, &#x27;ams4&#x27;, &#x27;ams5&#x27;, &#x27;ams6&#x27;, &#x27;ams7&#x27;, &#x27;ams8&#x27;, &#x27;ams9&#x27;,\n",
       "       &#x27;ams10&#x27;,\n",
       "       ...\n",
       "       &#x27;ams125&#x27;, &#x27;ams126&#x27;, &#x27;ams127&#x27;, &#x27;ams128&#x27;, &#x27;ams129&#x27;, &#x27;ams130&#x27;, &#x27;ams131&#x27;,\n",
       "       &#x27;ams132&#x27;, &#x27;ams133&#x27;, &#x27;ams134&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;id&#x27;, length=134))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dcdb22b3-37f6-45a0-b1e9-9aaf1c27f23e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dcdb22b3-37f6-45a0-b1e9-9aaf1c27f23e' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>PWS data from Amsterdam</dd><dt><span>institution :</span></dt><dd>Wageningen University and Research, Department of Environmental Sciences</dd><dt><span>history :</span></dt><dd>Test Version 0.1</dd><dt><span>references :</span></dt><dd>https://doi.org/10.1029/2019GL083731</dd><dt><span>date_created :</span></dt><dd>2022-10-18 10:32:00</dd><dt><span>Conventions :</span></dt><dd>OPENSENSE V0</dd><dt><span>location :</span></dt><dd>Amsterdam Metropolitan Area</dd><dt><span>source :</span></dt><dd>Netamo</dd><dt><span>comment :</span></dt><dd></dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 237MB\n",
       "Dimensions:    (time: 219168, id: 134)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 2MB 2016-05-01T00:05:00 ... 2018-06-01\n",
       "  * id         (id) <U6 3kB 'ams1' 'ams2' 'ams3' ... 'ams132' 'ams133' 'ams134'\n",
       "    elevation  (id) <U3 2kB ...\n",
       "    lat        (id) float64 1kB 52.31 52.3 52.31 52.35 ... 52.43 52.3 52.26\n",
       "    lon        (id) float64 1kB 4.671 4.675 4.677 4.678 ... 5.036 5.041 5.045\n",
       "    x          (id) float64 1kB 2.049e+05 2.052e+05 ... 2.301e+05 2.301e+05\n",
       "    y          (id) float64 1kB 5.804e+06 5.803e+06 ... 5.802e+06 5.798e+06\n",
       "Data variables:\n",
       "    rainfall   (id, time) float64 235MB ...\n",
       "Attributes:\n",
       "    title:         PWS data from Amsterdam\n",
       "    institution:   Wageningen University and Research, Department of Environm...\n",
       "    history:       Test Version 0.1\n",
       "    references:    https://doi.org/10.1029/2019GL083731\n",
       "    date_created:  2022-10-18 10:32:00\n",
       "    Conventions:   OPENSENSE V0\n",
       "    location:      Amsterdam Metropolitan Area\n",
       "    source:        Netamo\n",
       "    comment:       "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_pws"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "62725b6d-cd00-4c38-aee7-a5cb909c340d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(ds_pws.x, ds_pws.y);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bfb4ba61-c9c3-480d-b003-0f346181cf0f",
   "metadata": {},
   "source": [
    "### Distance matrix"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "00a6b3cc-7132-428e-a836-88390ab2a8e7",
   "metadata": {},
   "source": [
    "#### Calculate distance matrix\n",
    "\n",
    "Beware that the distance matrix can become quite large when using large datasets, e.g. 800 MB if you use 10,000 stations against 10,000 stations from a country-wide PWS dataset, and calculation can take tens of seconds. We might add the option to calculate a sparse distance matrix only up the certain distances later, which reduced size and computation time signficantly.\n",
    "\n",
    "For the typicall use case to find nearby stations, you can just use the nearest neighbor lookup described below for large datasets. The distance matrix can still be quite nice and handy for small regional datasets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d6c43dad-aab5-4a7b-b89c-0b80c6492460",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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",
       "html[data-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 0 20px 0 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\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:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0);\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-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (id: 134, id_neighbor: 134)&gt; Size: 144kB\n",
       "array([[    0.        ,   518.79828487,   531.99603941, ...,\n",
       "        28532.23134009, 25291.03668667, 25994.5064412 ],\n",
       "       [  518.79828487,     0.        ,   728.38027968, ...,\n",
       "        28493.8273213 , 24995.94592241, 25633.14869253],\n",
       "       [  531.99603941,   728.38027968,     0.        , ...,\n",
       "        28000.75903421, 24846.06853717, 25603.62271956],\n",
       "       ...,\n",
       "       [28532.23134009, 28493.8273213 , 28000.75903421, ...,\n",
       "            0.        , 14448.29575676, 18710.76846276],\n",
       "       [25291.03668667, 24995.94592241, 24846.06853717, ...,\n",
       "        14448.29575676,     0.        ,  4264.61589559],\n",
       "       [25994.5064412 , 25633.14869253, 25603.62271956, ...,\n",
       "        18710.76846276,  4264.61589559,     0.        ]])\n",
       "Coordinates:\n",
       "  * id           (id) &lt;U6 3kB &#x27;ams1&#x27; &#x27;ams2&#x27; &#x27;ams3&#x27; ... &#x27;ams133&#x27; &#x27;ams134&#x27;\n",
       "  * id_neighbor  (id_neighbor) &lt;U6 3kB &#x27;ams1&#x27; &#x27;ams2&#x27; ... &#x27;ams133&#x27; &#x27;ams134&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>id</span>: 134</li><li><span class='xr-has-index'>id_neighbor</span>: 134</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4de32c31-7c34-4286-a911-d9fed75fe10b' class='xr-array-in' type='checkbox' checked><label for='section-4de32c31-7c34-4286-a911-d9fed75fe10b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 518.8 532.0 4.492e+03 ... 4.956e+03 1.871e+04 4.265e+03 0.0</span></div><div class='xr-array-data'><pre>array([[    0.        ,   518.79828487,   531.99603941, ...,\n",
       "        28532.23134009, 25291.03668667, 25994.5064412 ],\n",
       "       [  518.79828487,     0.        ,   728.38027968, ...,\n",
       "        28493.8273213 , 24995.94592241, 25633.14869253],\n",
       "       [  531.99603941,   728.38027968,     0.        , ...,\n",
       "        28000.75903421, 24846.06853717, 25603.62271956],\n",
       "       ...,\n",
       "       [28532.23134009, 28493.8273213 , 28000.75903421, ...,\n",
       "            0.        , 14448.29575676, 18710.76846276],\n",
       "       [25291.03668667, 24995.94592241, 24846.06853717, ...,\n",
       "        14448.29575676,     0.        ,  4264.61589559],\n",
       "       [25994.5064412 , 25633.14869253, 25603.62271956, ...,\n",
       "        18710.76846276,  4264.61589559,     0.        ]])</pre></div></div></li><li class='xr-section-item'><input id='section-314fb7a8-a097-4bd7-b6f8-4bb4aadc4052' class='xr-section-summary-in' type='checkbox'  checked><label for='section-314fb7a8-a097-4bd7-b6f8-4bb4aadc4052' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>id</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>&lt;U6</div><div class='xr-var-preview xr-preview'>&#x27;ams1&#x27; &#x27;ams2&#x27; ... &#x27;ams133&#x27; &#x27;ams134&#x27;</div><input id='attrs-37d87cc2-5389-4c2e-8b92-65d6698f013e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-37d87cc2-5389-4c2e-8b92-65d6698f013e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f05d9f36-c9e7-4582-8e47-87d78808ae7c' class='xr-var-data-in' type='checkbox'><label for='data-f05d9f36-c9e7-4582-8e47-87d78808ae7c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;ams1&#x27;, &#x27;ams2&#x27;, &#x27;ams3&#x27;, &#x27;ams4&#x27;, &#x27;ams5&#x27;, &#x27;ams6&#x27;, &#x27;ams7&#x27;, &#x27;ams8&#x27;, &#x27;ams9&#x27;,\n",
       "       &#x27;ams10&#x27;, &#x27;ams11&#x27;, &#x27;ams12&#x27;, &#x27;ams13&#x27;, &#x27;ams14&#x27;, &#x27;ams15&#x27;, &#x27;ams16&#x27;, &#x27;ams17&#x27;,\n",
       "       &#x27;ams18&#x27;, &#x27;ams19&#x27;, &#x27;ams20&#x27;, &#x27;ams21&#x27;, &#x27;ams22&#x27;, &#x27;ams23&#x27;, &#x27;ams24&#x27;, &#x27;ams25&#x27;,\n",
       "       &#x27;ams26&#x27;, &#x27;ams27&#x27;, &#x27;ams28&#x27;, &#x27;ams29&#x27;, &#x27;ams30&#x27;, &#x27;ams31&#x27;, &#x27;ams32&#x27;, &#x27;ams33&#x27;,\n",
       "       &#x27;ams34&#x27;, &#x27;ams35&#x27;, &#x27;ams36&#x27;, &#x27;ams37&#x27;, &#x27;ams38&#x27;, &#x27;ams39&#x27;, &#x27;ams40&#x27;, &#x27;ams41&#x27;,\n",
       "       &#x27;ams42&#x27;, &#x27;ams43&#x27;, &#x27;ams44&#x27;, &#x27;ams45&#x27;, &#x27;ams46&#x27;, &#x27;ams47&#x27;, &#x27;ams48&#x27;, &#x27;ams49&#x27;,\n",
       "       &#x27;ams50&#x27;, &#x27;ams51&#x27;, &#x27;ams52&#x27;, &#x27;ams53&#x27;, &#x27;ams54&#x27;, &#x27;ams55&#x27;, &#x27;ams56&#x27;, &#x27;ams57&#x27;,\n",
       "       &#x27;ams58&#x27;, &#x27;ams59&#x27;, &#x27;ams60&#x27;, &#x27;ams61&#x27;, &#x27;ams62&#x27;, &#x27;ams63&#x27;, &#x27;ams64&#x27;, &#x27;ams65&#x27;,\n",
       "       &#x27;ams66&#x27;, &#x27;ams67&#x27;, &#x27;ams68&#x27;, &#x27;ams69&#x27;, &#x27;ams70&#x27;, &#x27;ams71&#x27;, &#x27;ams72&#x27;, &#x27;ams73&#x27;,\n",
       "       &#x27;ams74&#x27;, &#x27;ams75&#x27;, &#x27;ams76&#x27;, &#x27;ams77&#x27;, &#x27;ams78&#x27;, &#x27;ams79&#x27;, &#x27;ams80&#x27;, &#x27;ams81&#x27;,\n",
       "       &#x27;ams82&#x27;, &#x27;ams83&#x27;, &#x27;ams84&#x27;, &#x27;ams85&#x27;, &#x27;ams86&#x27;, &#x27;ams87&#x27;, &#x27;ams88&#x27;, &#x27;ams89&#x27;,\n",
       "       &#x27;ams90&#x27;, &#x27;ams91&#x27;, &#x27;ams92&#x27;, &#x27;ams93&#x27;, &#x27;ams94&#x27;, &#x27;ams95&#x27;, &#x27;ams96&#x27;, &#x27;ams97&#x27;,\n",
       "       &#x27;ams98&#x27;, &#x27;ams99&#x27;, &#x27;ams100&#x27;, &#x27;ams101&#x27;, &#x27;ams102&#x27;, &#x27;ams103&#x27;, &#x27;ams104&#x27;,\n",
       "       &#x27;ams105&#x27;, &#x27;ams106&#x27;, &#x27;ams107&#x27;, &#x27;ams108&#x27;, &#x27;ams109&#x27;, &#x27;ams110&#x27;, &#x27;ams111&#x27;,\n",
       "       &#x27;ams112&#x27;, &#x27;ams113&#x27;, &#x27;ams114&#x27;, &#x27;ams115&#x27;, &#x27;ams116&#x27;, &#x27;ams117&#x27;, &#x27;ams118&#x27;,\n",
       "       &#x27;ams119&#x27;, &#x27;ams120&#x27;, &#x27;ams121&#x27;, &#x27;ams122&#x27;, &#x27;ams123&#x27;, &#x27;ams124&#x27;, &#x27;ams125&#x27;,\n",
       "       &#x27;ams126&#x27;, &#x27;ams127&#x27;, &#x27;ams128&#x27;, &#x27;ams129&#x27;, &#x27;ams130&#x27;, &#x27;ams131&#x27;, &#x27;ams132&#x27;,\n",
       "       &#x27;ams133&#x27;, &#x27;ams134&#x27;], dtype=&#x27;&lt;U6&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>id_neighbor</span></div><div class='xr-var-dims'>(id_neighbor)</div><div class='xr-var-dtype'>&lt;U6</div><div class='xr-var-preview xr-preview'>&#x27;ams1&#x27; &#x27;ams2&#x27; ... &#x27;ams133&#x27; &#x27;ams134&#x27;</div><input id='attrs-e9c57279-f9b3-4b51-be94-4b74ab7810bf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e9c57279-f9b3-4b51-be94-4b74ab7810bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ecead254-dff1-4b7d-85fb-45946233683c' class='xr-var-data-in' type='checkbox'><label for='data-ecead254-dff1-4b7d-85fb-45946233683c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;ams1&#x27;, &#x27;ams2&#x27;, &#x27;ams3&#x27;, &#x27;ams4&#x27;, &#x27;ams5&#x27;, &#x27;ams6&#x27;, &#x27;ams7&#x27;, &#x27;ams8&#x27;, &#x27;ams9&#x27;,\n",
       "       &#x27;ams10&#x27;, &#x27;ams11&#x27;, &#x27;ams12&#x27;, &#x27;ams13&#x27;, &#x27;ams14&#x27;, &#x27;ams15&#x27;, &#x27;ams16&#x27;, &#x27;ams17&#x27;,\n",
       "       &#x27;ams18&#x27;, &#x27;ams19&#x27;, &#x27;ams20&#x27;, &#x27;ams21&#x27;, &#x27;ams22&#x27;, &#x27;ams23&#x27;, &#x27;ams24&#x27;, &#x27;ams25&#x27;,\n",
       "       &#x27;ams26&#x27;, &#x27;ams27&#x27;, &#x27;ams28&#x27;, &#x27;ams29&#x27;, &#x27;ams30&#x27;, &#x27;ams31&#x27;, &#x27;ams32&#x27;, &#x27;ams33&#x27;,\n",
       "       &#x27;ams34&#x27;, &#x27;ams35&#x27;, &#x27;ams36&#x27;, &#x27;ams37&#x27;, &#x27;ams38&#x27;, &#x27;ams39&#x27;, &#x27;ams40&#x27;, &#x27;ams41&#x27;,\n",
       "       &#x27;ams42&#x27;, &#x27;ams43&#x27;, &#x27;ams44&#x27;, &#x27;ams45&#x27;, &#x27;ams46&#x27;, &#x27;ams47&#x27;, &#x27;ams48&#x27;, &#x27;ams49&#x27;,\n",
       "       &#x27;ams50&#x27;, &#x27;ams51&#x27;, &#x27;ams52&#x27;, &#x27;ams53&#x27;, &#x27;ams54&#x27;, &#x27;ams55&#x27;, &#x27;ams56&#x27;, &#x27;ams57&#x27;,\n",
       "       &#x27;ams58&#x27;, &#x27;ams59&#x27;, &#x27;ams60&#x27;, &#x27;ams61&#x27;, &#x27;ams62&#x27;, &#x27;ams63&#x27;, &#x27;ams64&#x27;, &#x27;ams65&#x27;,\n",
       "       &#x27;ams66&#x27;, &#x27;ams67&#x27;, &#x27;ams68&#x27;, &#x27;ams69&#x27;, &#x27;ams70&#x27;, &#x27;ams71&#x27;, &#x27;ams72&#x27;, &#x27;ams73&#x27;,\n",
       "       &#x27;ams74&#x27;, &#x27;ams75&#x27;, &#x27;ams76&#x27;, &#x27;ams77&#x27;, &#x27;ams78&#x27;, &#x27;ams79&#x27;, &#x27;ams80&#x27;, &#x27;ams81&#x27;,\n",
       "       &#x27;ams82&#x27;, &#x27;ams83&#x27;, &#x27;ams84&#x27;, &#x27;ams85&#x27;, &#x27;ams86&#x27;, &#x27;ams87&#x27;, &#x27;ams88&#x27;, &#x27;ams89&#x27;,\n",
       "       &#x27;ams90&#x27;, &#x27;ams91&#x27;, &#x27;ams92&#x27;, &#x27;ams93&#x27;, &#x27;ams94&#x27;, &#x27;ams95&#x27;, &#x27;ams96&#x27;, &#x27;ams97&#x27;,\n",
       "       &#x27;ams98&#x27;, &#x27;ams99&#x27;, &#x27;ams100&#x27;, &#x27;ams101&#x27;, &#x27;ams102&#x27;, &#x27;ams103&#x27;, &#x27;ams104&#x27;,\n",
       "       &#x27;ams105&#x27;, &#x27;ams106&#x27;, &#x27;ams107&#x27;, &#x27;ams108&#x27;, &#x27;ams109&#x27;, &#x27;ams110&#x27;, &#x27;ams111&#x27;,\n",
       "       &#x27;ams112&#x27;, &#x27;ams113&#x27;, &#x27;ams114&#x27;, &#x27;ams115&#x27;, &#x27;ams116&#x27;, &#x27;ams117&#x27;, &#x27;ams118&#x27;,\n",
       "       &#x27;ams119&#x27;, &#x27;ams120&#x27;, &#x27;ams121&#x27;, &#x27;ams122&#x27;, &#x27;ams123&#x27;, &#x27;ams124&#x27;, &#x27;ams125&#x27;,\n",
       "       &#x27;ams126&#x27;, &#x27;ams127&#x27;, &#x27;ams128&#x27;, &#x27;ams129&#x27;, &#x27;ams130&#x27;, &#x27;ams131&#x27;, &#x27;ams132&#x27;,\n",
       "       &#x27;ams133&#x27;, &#x27;ams134&#x27;], dtype=&#x27;&lt;U6&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e065e7c9-9791-4f6a-b0d1-cf59230f4fae' class='xr-section-summary-in' type='checkbox'  ><label for='section-e065e7c9-9791-4f6a-b0d1-cf59230f4fae' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>id</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-79ac1d4b-d837-4d40-8238-acd7a6516fb2' class='xr-index-data-in' type='checkbox'/><label for='index-79ac1d4b-d837-4d40-8238-acd7a6516fb2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;ams1&#x27;, &#x27;ams2&#x27;, &#x27;ams3&#x27;, &#x27;ams4&#x27;, &#x27;ams5&#x27;, &#x27;ams6&#x27;, &#x27;ams7&#x27;, &#x27;ams8&#x27;, &#x27;ams9&#x27;,\n",
       "       &#x27;ams10&#x27;,\n",
       "       ...\n",
       "       &#x27;ams125&#x27;, &#x27;ams126&#x27;, &#x27;ams127&#x27;, &#x27;ams128&#x27;, &#x27;ams129&#x27;, &#x27;ams130&#x27;, &#x27;ams131&#x27;,\n",
       "       &#x27;ams132&#x27;, &#x27;ams133&#x27;, &#x27;ams134&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;id&#x27;, length=134))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>id_neighbor</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5f7270ee-eaed-402c-9a82-1929e027fa36' class='xr-index-data-in' type='checkbox'/><label for='index-5f7270ee-eaed-402c-9a82-1929e027fa36' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;ams1&#x27;, &#x27;ams2&#x27;, &#x27;ams3&#x27;, &#x27;ams4&#x27;, &#x27;ams5&#x27;, &#x27;ams6&#x27;, &#x27;ams7&#x27;, &#x27;ams8&#x27;, &#x27;ams9&#x27;,\n",
       "       &#x27;ams10&#x27;,\n",
       "       ...\n",
       "       &#x27;ams125&#x27;, &#x27;ams126&#x27;, &#x27;ams127&#x27;, &#x27;ams128&#x27;, &#x27;ams129&#x27;, &#x27;ams130&#x27;, &#x27;ams131&#x27;,\n",
       "       &#x27;ams132&#x27;, &#x27;ams133&#x27;, &#x27;ams134&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;id_neighbor&#x27;, length=134))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4a960f18-bbd2-4a1a-8134-c357f01dbefe' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4a960f18-bbd2-4a1a-8134-c357f01dbefe' 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.DataArray (id: 134, id_neighbor: 134)> Size: 144kB\n",
       "array([[    0.        ,   518.79828487,   531.99603941, ...,\n",
       "        28532.23134009, 25291.03668667, 25994.5064412 ],\n",
       "       [  518.79828487,     0.        ,   728.38027968, ...,\n",
       "        28493.8273213 , 24995.94592241, 25633.14869253],\n",
       "       [  531.99603941,   728.38027968,     0.        , ...,\n",
       "        28000.75903421, 24846.06853717, 25603.62271956],\n",
       "       ...,\n",
       "       [28532.23134009, 28493.8273213 , 28000.75903421, ...,\n",
       "            0.        , 14448.29575676, 18710.76846276],\n",
       "       [25291.03668667, 24995.94592241, 24846.06853717, ...,\n",
       "        14448.29575676,     0.        ,  4264.61589559],\n",
       "       [25994.5064412 , 25633.14869253, 25603.62271956, ...,\n",
       "        18710.76846276,  4264.61589559,     0.        ]])\n",
       "Coordinates:\n",
       "  * id           (id) <U6 3kB 'ams1' 'ams2' 'ams3' ... 'ams133' 'ams134'\n",
       "  * id_neighbor  (id_neighbor) <U6 3kB 'ams1' 'ams2' ... 'ams133' 'ams134'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "distance_matrix = plg.spatial.calc_point_to_point_distances(\n",
    "    ds_pws,\n",
    "    ds_pws,\n",
    ")\n",
    "\n",
    "distance_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5096061c-0b8b-40a9-9410-e07ce5b7dd57",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "distance_matrix.plot(cbar_kwargs={\"label\": \"distance in meters\"})\n",
    "plt.xticks([])\n",
    "plt.yticks([]);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "373a9d88-957f-4cfa-89aa-746f656a5e80",
   "metadata": {},
   "source": [
    "#### Plot locations with distance to selected station"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "dbc068dd-291f-4f39-b2cc-c0782e6dd17a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pws_id = \"ams63\"\n",
    "\n",
    "sc = plt.scatter(ds_pws.x, ds_pws.y, c=distance_matrix.sel(id=pws_id) / 1e3)\n",
    "plt.scatter(ds_pws.sel(id=pws_id).x, ds_pws.sel(id=pws_id).y, c=\"r\", marker=\"x\")\n",
    "plt.colorbar(sc, label=\"distance in km\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "628309ea-bfda-410d-a561-761a9ee8d424",
   "metadata": {},
   "source": [
    "#### Select neighbors within certain range from distance matrix\n",
    "\n",
    "Note that this can be done more easily with the nearest neighbor lookup shown below. But you might findet having the distance matrix and getting the neigbors from there a nicer solution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "648586fc-0dfc-4725-9f15-b76a0a2de7d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['ams41', 'ams42', 'ams51', 'ams54', 'ams55', 'ams58', 'ams60',\n",
       "       'ams61', 'ams62', 'ams63', 'ams67', 'ams69', 'ams70', 'ams71',\n",
       "       'ams74', 'ams78', 'ams80', 'ams83', 'ams84', 'ams94', 'ams96',\n",
       "       'ams97'], dtype='<U6')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pws_id = \"ams63\"\n",
    "\n",
    "max_distance = 3e3  # this is in meteres\n",
    "\n",
    "distances = distance_matrix.sel(id=pws_id)\n",
    "selected_neighbor_ids = ds_pws.id.data[distances < max_distance]\n",
    "selected_neighbor_ids"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d54da1c-8f8f-4706-94eb-0aa34cdfbf7f",
   "metadata": {},
   "source": [
    "### Nearest neighbor lookup"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d32106c-adb8-4258-b91c-b8e6e30d7b1f",
   "metadata": {},
   "source": [
    "This uses `scipy.spatial.KDTree` for fast lookup of nearest neighbors and distance calculation. In the resulting `xarray.Dataset` the IDs of the neighboring stations are `None` for the cases where their distance is larger than `max_distance`."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe8edb0f-9dce-4514-8ddf-c647450e558f",
   "metadata": {},
   "source": [
    "#### Get N closest points for two point datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3a347638-cb91-4248-a0f1-a658d8564e19",
   "metadata": {},
   "outputs": [],
   "source": [
    "closest_neigbors = plg.spatial.get_closest_points_to_point(\n",
    "    ds_points=ds_pws,\n",
    "    ds_points_neighbors=ds_pws,\n",
    "    max_distance=max_distance,\n",
    "    n_closest=25,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "143cf39c-78b7-4858-aa50-37a3901b49d1",
   "metadata": {},
   "outputs": [
    {
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       "\n",
       ".xr-attrs dt,\n",
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
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       "\n",
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 57kB\n",
       "Dimensions:      (id: 134, n_closest: 25)\n",
       "Coordinates:\n",
       "  * id           (id) &lt;U6 3kB &#x27;ams1&#x27; &#x27;ams2&#x27; &#x27;ams3&#x27; ... &#x27;ams133&#x27; &#x27;ams134&#x27;\n",
       "Dimensions without coordinates: n_closest\n",
       "Data variables:\n",
       "    distance     (id, n_closest) float64 27kB 0.0 518.8 532.0 ... inf inf inf\n",
       "    neighbor_id  (id, n_closest) object 27kB &#x27;ams1&#x27; &#x27;ams2&#x27; &#x27;ams3&#x27; ... None None</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-049123bf-fd43-4bd9-b3c2-8a303856572f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-049123bf-fd43-4bd9-b3c2-8a303856572f' 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'>id</span>: 134</li><li><span>n_closest</span>: 25</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a5c89ea7-14f9-438c-9b48-5f9053002f1c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a5c89ea7-14f9-438c-9b48-5f9053002f1c' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>id</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>&lt;U6</div><div class='xr-var-preview xr-preview'>&#x27;ams1&#x27; &#x27;ams2&#x27; ... &#x27;ams133&#x27; &#x27;ams134&#x27;</div><input id='attrs-c6fccf28-1fe4-4e43-8ca3-1b3264652a72' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c6fccf28-1fe4-4e43-8ca3-1b3264652a72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26f76fcf-9a86-40cf-a717-b991a5141472' class='xr-var-data-in' type='checkbox'><label for='data-26f76fcf-9a86-40cf-a717-b991a5141472' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;ams1&#x27;, &#x27;ams2&#x27;, &#x27;ams3&#x27;, &#x27;ams4&#x27;, &#x27;ams5&#x27;, &#x27;ams6&#x27;, &#x27;ams7&#x27;, &#x27;ams8&#x27;, &#x27;ams9&#x27;,\n",
       "       &#x27;ams10&#x27;, &#x27;ams11&#x27;, &#x27;ams12&#x27;, &#x27;ams13&#x27;, &#x27;ams14&#x27;, &#x27;ams15&#x27;, &#x27;ams16&#x27;, &#x27;ams17&#x27;,\n",
       "       &#x27;ams18&#x27;, &#x27;ams19&#x27;, &#x27;ams20&#x27;, &#x27;ams21&#x27;, &#x27;ams22&#x27;, &#x27;ams23&#x27;, &#x27;ams24&#x27;, &#x27;ams25&#x27;,\n",
       "       &#x27;ams26&#x27;, &#x27;ams27&#x27;, &#x27;ams28&#x27;, &#x27;ams29&#x27;, &#x27;ams30&#x27;, &#x27;ams31&#x27;, &#x27;ams32&#x27;, &#x27;ams33&#x27;,\n",
       "       &#x27;ams34&#x27;, &#x27;ams35&#x27;, &#x27;ams36&#x27;, &#x27;ams37&#x27;, &#x27;ams38&#x27;, &#x27;ams39&#x27;, &#x27;ams40&#x27;, &#x27;ams41&#x27;,\n",
       "       &#x27;ams42&#x27;, &#x27;ams43&#x27;, &#x27;ams44&#x27;, &#x27;ams45&#x27;, &#x27;ams46&#x27;, &#x27;ams47&#x27;, &#x27;ams48&#x27;, &#x27;ams49&#x27;,\n",
       "       &#x27;ams50&#x27;, &#x27;ams51&#x27;, &#x27;ams52&#x27;, &#x27;ams53&#x27;, &#x27;ams54&#x27;, &#x27;ams55&#x27;, &#x27;ams56&#x27;, &#x27;ams57&#x27;,\n",
       "       &#x27;ams58&#x27;, &#x27;ams59&#x27;, &#x27;ams60&#x27;, &#x27;ams61&#x27;, &#x27;ams62&#x27;, &#x27;ams63&#x27;, &#x27;ams64&#x27;, &#x27;ams65&#x27;,\n",
       "       &#x27;ams66&#x27;, &#x27;ams67&#x27;, &#x27;ams68&#x27;, &#x27;ams69&#x27;, &#x27;ams70&#x27;, &#x27;ams71&#x27;, &#x27;ams72&#x27;, &#x27;ams73&#x27;,\n",
       "       &#x27;ams74&#x27;, &#x27;ams75&#x27;, &#x27;ams76&#x27;, &#x27;ams77&#x27;, &#x27;ams78&#x27;, &#x27;ams79&#x27;, &#x27;ams80&#x27;, &#x27;ams81&#x27;,\n",
       "       &#x27;ams82&#x27;, &#x27;ams83&#x27;, &#x27;ams84&#x27;, &#x27;ams85&#x27;, &#x27;ams86&#x27;, &#x27;ams87&#x27;, &#x27;ams88&#x27;, &#x27;ams89&#x27;,\n",
       "       &#x27;ams90&#x27;, &#x27;ams91&#x27;, &#x27;ams92&#x27;, &#x27;ams93&#x27;, &#x27;ams94&#x27;, &#x27;ams95&#x27;, &#x27;ams96&#x27;, &#x27;ams97&#x27;,\n",
       "       &#x27;ams98&#x27;, &#x27;ams99&#x27;, &#x27;ams100&#x27;, &#x27;ams101&#x27;, &#x27;ams102&#x27;, &#x27;ams103&#x27;, &#x27;ams104&#x27;,\n",
       "       &#x27;ams105&#x27;, &#x27;ams106&#x27;, &#x27;ams107&#x27;, &#x27;ams108&#x27;, &#x27;ams109&#x27;, &#x27;ams110&#x27;, &#x27;ams111&#x27;,\n",
       "       &#x27;ams112&#x27;, &#x27;ams113&#x27;, &#x27;ams114&#x27;, &#x27;ams115&#x27;, &#x27;ams116&#x27;, &#x27;ams117&#x27;, &#x27;ams118&#x27;,\n",
       "       &#x27;ams119&#x27;, &#x27;ams120&#x27;, &#x27;ams121&#x27;, &#x27;ams122&#x27;, &#x27;ams123&#x27;, &#x27;ams124&#x27;, &#x27;ams125&#x27;,\n",
       "       &#x27;ams126&#x27;, &#x27;ams127&#x27;, &#x27;ams128&#x27;, &#x27;ams129&#x27;, &#x27;ams130&#x27;, &#x27;ams131&#x27;, &#x27;ams132&#x27;,\n",
       "       &#x27;ams133&#x27;, &#x27;ams134&#x27;], dtype=&#x27;&lt;U6&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4af5daf8-17b8-496d-a880-7aee8007069f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4af5daf8-17b8-496d-a880-7aee8007069f' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>distance</span></div><div class='xr-var-dims'>(id, n_closest)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 518.8 532.0 ... inf inf inf</div><input id='attrs-84026ee2-2c2d-4e8d-8b02-ab34824bbdfa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-84026ee2-2c2d-4e8d-8b02-ab34824bbdfa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62506ac4-08d8-43d2-8e1c-06bd7a701e21' class='xr-var-data-in' type='checkbox'><label for='data-62506ac4-08d8-43d2-8e1c-06bd7a701e21' 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.        ,  518.79828487,  531.99603941, ...,           inf,\n",
       "                  inf,           inf],\n",
       "       [   0.        ,  518.79828487,  536.57331581, ...,           inf,\n",
       "                  inf,           inf],\n",
       "       [   0.        ,  531.99603941,  728.38027968, ...,           inf,\n",
       "                  inf,           inf],\n",
       "       ...,\n",
       "       [   0.        , 2741.94539242,           inf, ...,           inf,\n",
       "                  inf,           inf],\n",
       "       [   0.        ,  877.99664591, 1456.29785536, ...,           inf,\n",
       "                  inf,           inf],\n",
       "       [   0.        , 1159.36081048,           inf, ...,           inf,\n",
       "                  inf,           inf]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>neighbor_id</span></div><div class='xr-var-dims'>(id, n_closest)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;ams1&#x27; &#x27;ams2&#x27; &#x27;ams3&#x27; ... None None</div><input id='attrs-573e4158-bbd1-432f-a243-24f9f447dfa9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-573e4158-bbd1-432f-a243-24f9f447dfa9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc8253e5-58a3-4740-a95c-add2de80a29f' class='xr-var-data-in' type='checkbox'><label for='data-bc8253e5-58a3-4740-a95c-add2de80a29f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[&#x27;ams1&#x27;, &#x27;ams2&#x27;, &#x27;ams3&#x27;, ..., None, None, None],\n",
       "       [&#x27;ams2&#x27;, &#x27;ams1&#x27;, &#x27;ams6&#x27;, ..., None, None, None],\n",
       "       [&#x27;ams3&#x27;, &#x27;ams1&#x27;, &#x27;ams2&#x27;, ..., None, None, None],\n",
       "       ...,\n",
       "       [&#x27;ams132&#x27;, &#x27;ams128&#x27;, None, ..., None, None, None],\n",
       "       [&#x27;ams133&#x27;, &#x27;ams131&#x27;, &#x27;ams130&#x27;, ..., None, None, None],\n",
       "       [&#x27;ams134&#x27;, &#x27;ams129&#x27;, None, ..., None, None, None]], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-da694333-1ac3-41c4-8ae1-8e362db3e9cb' class='xr-section-summary-in' type='checkbox'  ><label for='section-da694333-1ac3-41c4-8ae1-8e362db3e9cb' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>id</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cb887e1c-8716-4f17-96c2-0bcdbfb348c8' class='xr-index-data-in' type='checkbox'/><label for='index-cb887e1c-8716-4f17-96c2-0bcdbfb348c8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;ams1&#x27;, &#x27;ams2&#x27;, &#x27;ams3&#x27;, &#x27;ams4&#x27;, &#x27;ams5&#x27;, &#x27;ams6&#x27;, &#x27;ams7&#x27;, &#x27;ams8&#x27;, &#x27;ams9&#x27;,\n",
       "       &#x27;ams10&#x27;,\n",
       "       ...\n",
       "       &#x27;ams125&#x27;, &#x27;ams126&#x27;, &#x27;ams127&#x27;, &#x27;ams128&#x27;, &#x27;ams129&#x27;, &#x27;ams130&#x27;, &#x27;ams131&#x27;,\n",
       "       &#x27;ams132&#x27;, &#x27;ams133&#x27;, &#x27;ams134&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;id&#x27;, length=134))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-34c0609a-c30a-4283-9576-2dbbcd5938ed' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-34c0609a-c30a-4283-9576-2dbbcd5938ed' 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> Size: 57kB\n",
       "Dimensions:      (id: 134, n_closest: 25)\n",
       "Coordinates:\n",
       "  * id           (id) <U6 3kB 'ams1' 'ams2' 'ams3' ... 'ams133' 'ams134'\n",
       "Dimensions without coordinates: n_closest\n",
       "Data variables:\n",
       "    distance     (id, n_closest) float64 27kB 0.0 518.8 532.0 ... inf inf inf\n",
       "    neighbor_id  (id, n_closest) object 27kB 'ams1' 'ams2' 'ams3' ... None None"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "closest_neigbors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "89a1fe81-aed6-4336-bcb3-647479951b4a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "closest_neigbors.isel(id=slice(50, 70)).distance.plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa742e69-799c-4546-9383-b546fc8c745b",
   "metadata": {},
   "source": [
    "One interesting thing might be the distance of the closest station, which is at index 1 of `n_closest` in our case because at index 0 is each station itself.\n",
    "\n",
    "Note that there is no data point if there is not neigbor within `max_distance`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6aa1081b-6249-4eab-898f-0c49dba0e32c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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QBEEQBFGqKOdsVZqy5VCzEVqMH2pcw4qtCnn/EtFdbO3YsQNLlixJur2+vh5DQ0NGHBNBVARG+JkJgiAIgihdKnrOVjply4ierXBCsUU2Qom2tjbs3r076fY1a9Zg6tSphhwUQZQ7r+88innffxF/Wru/2IdCEARBEESeqLSerWhU5AWk6pytPAw1pmIrgWuuuQZf//rXsW7dOgiCgCNHjuDxxx/HN7/5TXzta1/LxzESRNnxwf4BhKMi1uzqK8rrv7d/ADf/dQP63IGivD5BEARBjAbierbC5d+zpVTq1AIyHFY5IEMUc/t5Q7EeN9azZUQBV4pojn5n3HbbbYhGozjrrLPg9XqxZMkS2O12fPOb38T111+fj2MkiLJj2BcCAPS4/EV5/d+/uQ8vbOnGyZObcPHJE4tyDARBEARR6YQildWzFQilL7aUtwXCUV58ZQMLxKit8DRC3cWWIAi44447cMstt2D37t1wu92YM2cOampq8nF8BFGWDMWKre4iFVueYBgA4A1S3xhBEARB5AtlgVARxVasADKbBFjMqaPfAakwy6XYSlS2wlER0agIk6myZvnqLrYYNpsNc+bMMfJYCKJiYMrW0ZEAwpGo6gkrn7Bwjko48RMEQRBEqVJpPVs8HENF1QIAq1mASQCiIivMrKqP00Ji9Dsg2RgdpuwLuFJEd7Hl9/vxq1/9Cq+++ip6e3sRjcZ/sCj+nSDkYisqAkfdAYyrryro67NI1ko48RMEQRBEqVJpc7b4jK0UxZYgCLBbzPCFIjn3WLHvr1UUW7laE0sR3cXW1VdfjZdeegmf//zncfLJJ0MQKkvqIwgjGPaG+P93D/uLUGxJJ8tK9T8TBEEQRCkQ17NVAddctlmrlkTIsFtN8IUiOY+4YYVqlU1+rUpct+gutp599lk8//zzWLx4cT6OhyAqAqZsAcUJyfDHdqYqYZeNIAiCIEqVSpuzlW7GFkMabBzKWdli75fNYoLNYkIwHK3Iwca6G0nGjx+P2trafBwLQVQEoijGFVvdw0UotmI7U5W4Q0QQBEEQpUKoQgMyUtkIAcVg43BuyhZbo9jMJthjve2VuG7RXWzdf//9+Na3voUDBw7k43gIouzxBCMIR2VFqdtV+FlX/iAFZBAEQRBEvokPyCh/N4kckJHGRhgrxPyhXJUt6f1iyhZQmcWWbhvhwoUL4ff7MXXqVDidTlit8SkkAwMDhh0cQZQjSlULKLKNsAJPWgRBEARRKigLrEqwwAV4z1YaGyEfbGyMsmU1U7EVxxe+8AUcPnwYP/rRj9Da2koBGQSRgDIcAyi8jTASFfnJn5QtgiAIgsgfldezFbMRpunZYoVYIEdli713VrMgF1uRypsPqrvYevvtt7F27Vocd9xx+Tgegih7hnzBuH8XWtlSpgMFKuDETxAEQRClSlhxnQ2PGhuhdJ8/R2WLFad2i0ku4CpQ2dLdszVr1iz4fL58HAtBVASumI1wTI0NANDt8kMUC3cCVhZblRBDSxAEQRClSsXZCDMMNQYAh9UYZSukYiOkYgvAj3/8Y3zjG9/Aa6+9hv7+frhcrrgvghjtsJ6tGS1Saqc3GMFIIFyw1/dXWDISQRAEQZQqiTbCQm6u5oNASEMaoYX1bBllIzTBVsFphLpthOeccw4A4Kyzzoq7XRRFCIKASAV6LQlCD0Oxnq1x9Q7UOSxw+cPoGfajzmHN8J3GoFS2KmGXjSAIgiBKFeWmpihKfdMWc/nmGehLI8x+zS+KIqURpuLVV1/Nx3EQRMXAlK26Kiva6h1w+d3odvkxo7Uw8+nibYTlvcNGEARBEKVMooMkFBGRpk4pebQMNbZbc1e2lPZLyUYoPScVWwBOP/30fBwHQVQMrNiqr7Kitc6BnT3ugiYSKudeUEAGQRAEQeSPxE3NYCSKKpRvtaVpqLEl96HGSueNTWkjrMB1i+6eLYIg0jMUK7YanFa01TkAFDaRMEABGQRBEARREJKVrfK+7spzttLYCK25DzVWrk9sijTCSlS2qNgiCINxKZSttnqp2OouYLGljGKtxB0igiAIgigVEq+zZV9saUkjtOQ+1Ji9TyYBMJuEiu7ZomKLIAwm0UYIAN3DgYK9vnKnqdxP+gRBEARRyiQpW2XeK61pqLEB0e8BRew7gIq2Eeru2SIIIj0sjbDBaQVLgC2kjTAujbACd4iMps8dwJgae7EPgyAIgihDQpHknq1yRt9Q41wCMqTvZYoWzdkiCEIzwyo2wq4CBmT4lD1bZX7Szzd/X38IC+9ZjT+/c6DYh0IQBEGUIYm90eV+3dUyZ0seapyLjTAW+26OL7YqcZNYd7HV09ODyy67DO3t7bBYLDCbzXFfBDGaiUZFuPzx0e8A0O8JFOwErLQRVuJJy0g2HhwCAGw5QgPZCYIgCP1Uas+Ww5pZ2cpFhQom2ggruNjSbSP80pe+hM7OTnz3u9/FuHHjIAjlO7iNIIxmxB/m1sH6KiusJhOsZgGhiIjekQDGN1Tl/RhoqLF2BmKWT3cgXOQjIQiCIMoRVlxVWc3whSLlX2yFMgdkGDHUOJhoI+Q9W9k/Z6miu9has2YN3nzzTSxYsCAPh0MQ5Q2zEFZZzXznp6XWgcNDPnQP+wtSbMVFv0fKu1E33wx4pOASd0yNJAiCIAitRKIiorHLbLVdKraCoyAgw2HIUGOmbAlxr5dL6EapottG2NHRAVE05oN077334qSTTkJtbS1aWlpw/vnnY8eOHXGP8fv9WLlyJZqbm1FTU4MLLrgAPT09cY/p7OzEihUr4HQ60dLSgltuuQXhcPxO9WuvvYYTTjgBdrsd06dPxyOPPGLIz0AQSpT9WgxmJSxUSIayYTUSFRGJlveJP58MeEjZIgiCILJDqWI5bZak28oRbQEZuYdZJNkIKziNUHex9eCDD+K2227D/v37c37x119/HStXrsQ777yDVatWIRQKYdmyZfB4PPwxN910E/7973/jqaeewuuvv44jR47gc5/7HL8/EolgxYoVCAaDePvtt/Hoo4/ikUcewfe+9z3+mH379mHFihX4xCc+gQ0bNuDGG2/El7/8Zbz44os5/wwEoWTIFwQgJREy2nj8e4GKrQRZv9xP/Plk0CP9vkb8VGwRBEEQ+gjGFVtScVLu11wtc7Z4sZVTQEb861TyUGPdNsKLLroIXq8X06ZNg9PphNVqjbt/YGBA83O98MILcf9+5JFH0NLSgg8++ABLlizB8PAwfv/73+OJJ57AmWeeCQD44x//iNmzZ+Odd97Bqaeeipdeeglbt27F6tWr0draigULFuAHP/gBvvWtb+HOO++EzWbDQw89hClTpuD+++8HAMyePRtr1qzBAw88gOXLl+t9CwgiJUzZqlMoW2zWVsGUrYSTXyAcTdvoOloRRREDXqnYImWLIAiC0IsyibBiii2eRph63WCsjZACMpJ48MEH83AYEsPDwwCApqYmAMAHH3yAUCiEpUuX8sfMmjULEydOxNq1a3Hqqadi7dq1OPbYY9Ha2sofs3z5cnzta1/Dli1bcPzxx2Pt2rVxz8Eec+ONN6oeRyAQQCAgD6F1uSipjNCGuo1QmuHUXbBiq7KSkfKFJxjhJ3UqtgiCIAi9sL5oi0ngxUmwzHulubKlZahxOHtlK2mosaVybYS6i60rrrgiH8eBaDSKG2+8EYsXL8a8efMAAN3d3bDZbGhoaIh7bGtrK7q7u/ljlIUWu5/dl+4xLpcLPp8PVVXxoQX33nsv7rrrLsN+NmL0wAcaqyhbZCMsLZiFEADc/jBEUaR0VYIgCEIzSnXGGisWwmV+zdVmI4wNNc4hzILP2eJphLmrZaWKpmLL5XKhrq6O/3862OP0snLlSnz00UdYs2ZNVt9vJLfffjtuvvlm/m+Xy4WOjo4iHhFRLrjUlK1C2wgTTlSVKMkbwYCi2ApHRfhDUVTZyG5JEARBaEOZqGc1CXG3lSs8jTCtjTB3ZYtshAk0Njaiq6sLLS0taGhoUN39ZbvCkSzy8a+77jo8++yzeOONNzBhwgR+e1tbG4LBIIaGhuLUrZ6eHrS1tfHHvPvuu3HPx9IKlY9JTDDs6elBXV1dkqoFAHa7HXa7XffPQRDp0gi7Xf6CqCekbGmD9WsxRgIhKrYIgiAIzTB1xmo28aKhnG2EkajIfyYtylYoIiUem0361zWsqLJZhNh/R3mx9corr/A+qldffdWwFxdFEddffz3+8Y9/4LXXXsOUKVPi7j/xxBNhtVrx8ssv44ILLgAA7NixA52dnVi0aBEAYNGiRfjhD3+I3t5etLS0AABWrVqFuro6zJkzhz/m+eefj3vuVatW8ecgCKPgNkJnso3QH4rC5Quj3mlV/V6jSEwHqkRJ3ggG3PHFltsfRkttkQ6GIAiCKDvUbIShMr7mKgudtD1bikIsEI7w2Hs9sPfONgqi3zW9O6effrrq/+fKypUr8cQTT+CZZ55BbW0t77Gqr69HVVUV6uvrcfXVV+Pmm29GU1MT6urqcP3112PRokU49dRTAQDLli3DnDlzcNlll+G+++5Dd3c3vvOd72DlypVcnfrqV7+KX//617j11ltx1VVX4ZVXXsFf//pXPPfcc4b9LAQBqKcROqxmNDitGPKG0O3y573YSg7IKN9dtnwymKBsUUgGQRAEoQdWGFgtAh/OW85uEqUtkBU/asQVW6EonDb9rxUcRTZC3XO2jOS3v/0thoeHccYZZ2DcuHH868knn+SPeeCBB/DJT34SF1xwAZYsWYK2tjb8/e9/5/ebzWY8++yzMJvNWLRoES699FJcfvnluPvuu/ljpkyZgueeew6rVq3Ccccdh/vvvx8PP/wwxb4ThqNmIwQUs7YK0LflS1C2KvHEZQTKni1AUrYIgiAIQishRaIeK07Ku9iSjt1iEmBJU2xZzCZYYtbBbN0zfKgxzdnKL6KYecfd4XDgN7/5DX7zm9+kfMykSZOSbIKJnHHGGfjwww91HyNB6IEVWw0J2zxt9Q5s7x5BTwESCalnSxuJytYIKVsEQRCEDniiXoX0bAVCmZMIGQ6rGe5AOGnNoZUkG2EFR78XVdkiiEqjFJQtduJjAxYrcZfICPpVerYIgiAIQitxPVsVoWzFkgitmcOiWEGWrbKVHP1eucoWFVsEYRChSJT3/SQWWywko6sQylbsRFXrkITrStwlMgKmbLEUJerZIgiCIPQQVEa/x1L1yjkgQ8uMLYZcbGWnbHEbYazXzYhByaUKFVsEYRBsxhYA1DniHbos/j3fs7aiUZGfwOocUsFXzrts+YT1bI1vkMY/ULFFEARB6EGpbFVGzxabsaXNRghkP9g4yG2E5th/2fsnIhotXyumGrqLrZ6eHlx22WVob2+HxWKB2WyO+yKI0QqzENbaLUmNpdxGmGdlSynns0TESpTkjWAwFtM/qdkJABghGyFBEAShA953ZKm0nq3M63lbjsoWDxdJmLMFVJ4jR3dAxpe+9CV0dnbiu9/9LsaNG5f3Aa0EUS6oxb4zmI0w38qWslGV2QjLeZctX0SiIrcRdjRJxZY7EEr3LQRBEAQRRyicPNS4nK+53EaYZsYWg/V1BXJWtuIDMth9Dg19Y+WC7mJrzZo1ePPNN7FgwYI8HA5BlC9DvuSBxgxmI+z3BBEIRzTtGmWDP7bDZDULqLJSQEYqhn0hsDDUjsZYsUXKFkEQBKGDuJ6tCpqzpclGGHuMP1tlS6EKAvFzvSpt3aLbRtjR0aEpsp0gKpFAOJLyROpKkUQIAI1OKz+h9LoCcfdFo2LW0amJMO+0w2KuCEtDvmD9WrUOCxpjxTH1bBEEQRB6iOvZslSQsqVhQzhnZUuhCgKAIAgVm0iou9h68MEHcdttt2H//v15OByCKF3CkSiWP/AGzv3Fm6rNm6li3wHpJNJaZwcQbyV0B8L43G/fxkk/XJ00ZDcbWNFmt5orehp7rjALYXO1DTUxuyX1bBEEQRB6UM6K4huc4fLd4NQzZ8ueo7IVVBSqjEpdt+i2EV500UXwer2YNm0anE4nrNb4heXAwIBhB0cQpcSAN4j9/V4AwOEhH+/1YQx5U9sIASkk4+CAj8/aCkeiuO6J9dhwcAgAsKtnBKdMbc7pGFmx5bBWhn88X7AZW43VNtTYpdMgKVsEQRCEHtisqMrp2WIbttrTCLNVtlhAhrJXy2YxAQEKyMCDDz6Yh8MgiNLHG5B3b/YcdScVW+kCMgA5JKN72A9RFPH9f23BazuO8vs9wdwX+9xGaDXDFvOPV9oOkREwZavJaeNBIlRsEQRBEHoIKhL1KqNnS4eNMOehxkwVlIP2KtVGqLvYuuKKK/JxHARR8igX43uOenDGzPj709kIAWCcYtbW797ci8fXdUIQgIYqKwa9IXgCufdtMTnfYa0M/3i+YJZNSdmK9WyRjZAgCILQQaXN2VK6YzLBbYRZ9pynsxFmW8CVKrqLLQCIRCL45z//iW3btgEA5s6di09/+tM0Z4uoaDyKYmvvUXfS/cxGmKrYYsrWfz7qxqFBHwDgOyvm4O3dfXh5e2/c82dLgJ0o4wIyKuukZQSDHpWeLVK2CIIgCB2o9myVcSiVHmWL2wizLIyCqWyEIGULu3fvxnnnnYfDhw9j5kxpa//ee+9FR0cHnnvuOUybNs3wgySIUsAbjLcRJsLSCBuqbKrfz+LfWaF1xaJJuGrxZGyM9WwZYWPz8V0pCshIR7yyJZ0Gg+FoXmP5CYIgiMpC2bNlidnhwmW8wSkXW9qVrayHGqspWxW6Saw7jfCGG27AtGnTcPDgQaxfvx7r169HZ2cnpkyZghtuuCEfx0gQJYE7TtnyJN2fyUbYFlO2AGDp7BZ871NzIQgCqmOLfWUxly1yz1ZlNOvmiwFFzxYrtgAYYuUkCIIgRgeVZiNk7hhtxZa0MenPcaixqo3QoHE4pYJuZev111/HO++8g6amJn5bc3MzfvzjH2Px4sWGHhxBlBJeRYBF70gAI/4Qah1yYTXkkxbwqYqt2ePqML6hCuMbq/CLi4+H2STtglXbpBOWETZCZfS7nZStlAwqlC2zSYDTZoY3GIHbH0ZTtboySRAEQRBKeLFlEWDlfdIVYCO0arER5qhsxSLylYUdX7eUccGqhu5iy263Y2RkJOl2t9sNm40WKUTl4k5QPfYe9eC4jgb+b6ZspYp+r7Zb8Matn4BJkOZuKW+Xnt/ANEJFz1Y5n/jzBVe2YoVVjd0CbzCCkUComIdFEARBlBHcRmhSztkq30IhOxuh8cpWOb+Haui2EX7yk5/Etddei3Xr1kEURYiiiHfeeQdf/epX8elPfzofx0gQJYE3oRhS9m35QxFe6KSKfgcAs0mIK7QAcBubkcqW0kZYaak+RjDgTii2WPw7JRISBEEQGpELhkqJftdhI+RztrJVtuT3jj8nFVsSv/zlLzFt2jQsWrQIDocDDocDixcvxvTp0/GLX/wiH8dIECWBO5i62GLhGIIA1Nr1CcZOe8xGaETPVjg5IKOcT/z5wB+K8Pe6ySkVW7U02JggCILQCS8YLJXSs6UnjdAYZUs1jbCM30M1dNsIGxoa8Mwzz2DXrl3Yvn07AGD27NmYPn264QdHEKUEU55qHRaM+MNxIRnKcAyTSVD9/lQYqWyxE2WV1cx3iypthyhXWES/2STwgcY1NNiYIAiC0IkyIKMSrPtyz5b2gIxAFgEZoijKxZZaGmGFrVuymrMFADNmzMCMGTOMPBaCKGm8sZ6t+RPq8dbu/jhlK1MSYTqqbfmxEdpJ2VKFx7475cKYFbwjZCMkCIIgNMIKK5vZxAMyylmV0WUjZEONswjIiERFiLGalIYax7j55pvxgx/8ANXV1bj55pvTPvbnP/+5IQdGEKUGUz2OHd+At3b3Y3+fF5GoCLNJyDjQOB2G2ggVc7Yo+l2dwYRwDACosUu/N1K2CIIgCK0E45QtuWdLFMWk/uxyIKuhxlkoW0r1j4Yax/jwww8RCoX4/xPEaITNwZrRUgO7xYRAOIpDg15Maq7OSdkyNiBDjm2t1B2iXOnnypZcbNVSQAZBEAShk5AiIINZ4ERRUm4s5jIstnjPVn6HGiuLqfihxlIBV87qoBqaiq1XX31V9f8JYjThVvRsTRlTje3dI9hz1J1zsWVo9DsLyLDQUONUsBlbSmWrlnq2CIIgCJ3Ic7ZMcUVDKCJCgzhUcnAboY6erWyGGiuLKWUaYaUqW7rTCK+66irVOVsejwdXXXWVIQdFEKUIG2pcY7dg2tgaAOAhGUMGKFveYASimFtjrdJGWKmpPrkyoBhozKCeLYIgCEIvbDCvzRxfbJXrdVefjTB7ZSukCMdQ2i2p2Irx6KOPwufzJd3u8/nwpz/9yZCDIohSxBMLyHDaLZg2thqAHP/uyjDQOB1Om3RSi0TFnC1/fKix1SzH0IbLNxkpH7CerWZlscWVLRpqTBAEQWgjpNKzpby93NA31Ngc9z16CKrM2FK+bqUVW5rTCF0uFx9iPDIyAofDwe+LRCJ4/vnn0dLSkpeDJIhSgFnMauxmTI0pW3tiypYRaYTsNVjTaTaoDTUu1x22fKHWs1VDc7YIgiAInSiHGguCNNg4FBHLt9gKsTTCzOsQZjX0hyK6A0FCKjO2ADn6PRu1rJTRXGw1NDRAEKQP0zHHHJN0vyAIuOuuuww9OIIoJZiN0GlT2gglZWsoppZkU2yZTAKcNjO8wQg8gTDG1NizPkY1G2GownaIciVtzxbZCAmCIAiNKJUt9t9QJFK2jhI9c7YcsYIsKgLhqJikUqUjmPC+MSq1/UFzsfXqq69CFEWceeaZePrpp9HU1MTvs9lsmDRpEtrb2/NykARRbALhCI8qrbZbUBcrqvrcQQx7Qwply5byOdLhtFlixVZuuzncRmhRDDWusJNWrqj3bEm/zxFStgiCIAiN8DlbFrnYAiJled0NR6IIR6WfR5ONUFGQBcLRpMIpHbKNMP57Rr2N8PTTTwcA7Nu3Dx0dHTCZdLd7EUTZ4lUUQdU2MyxmE9rqHOh2+bGnz52TjRCQrIl9bsATzG2xz9MIraa4HaJynfmRD1R7tigggyAIgtBJKJysbAHl2bOlLBC12AhtikLJH4rw66gWWJGaWNRV6sga7e9MjEmTJgEAvF4vOjs7EQwG4+6fP3++MUdGECUE6+WxW0ywxE4wU8dWS8VWb+7FllHx73E2wgqY+WE0oiiqKltkIyQIgiD0ouzZAgCbYrBxuaEcTpzYS6WGySTAZjEhGI7qLo4S7ZeJrztqlS3G0aNHceWVV+I///mP6v2RSGU1tREEIA80Vu7cTBtbg7f39GPPUQ8vtrJJIwTkkAxvDjZCURQVQ41NcSfLYCTKi8TRjDsQ5jtqTSoBGb5QBGF6rwiCIAgNKCPMAfBrR1kWW4qEQLNJ2+asnRVbIX1rF24jtMS/jq1Cg710ryhuvPFGDA0NYd26daiqqsILL7yARx99FDNmzMC//vWvfBwjQRQdpjg57bK0zuLftxwZ5gv47JUt6Xk9OShbyp0lh9UcP2CxTJt1jWbQIxXFDqsJVTb5d1mtKKJz7ZsjCIIgKp9IVESsxUlhI2TKVvldc/lAYx3TmLMdbBxMKFIZpGzFeOWVV/DMM89g4cKFMJlMmDRpEs4++2zU1dXh3nvvxYoVK/JxnARRVFgRpIxpZ/HvGzqHAACWWKpgNhhhI1RaAKqsZlhMAgRBshEGIhEA2RWClcQA79eKT3y0WUywW0wIhKMYCYRQn6VCSRAEQYwOlOqV1VL+PVt6Zmwxsh1sPNpshLqVLY/Hw+dpNTY24ujRowCAY489FuvXrzf26AiiRGCx70oFZFqLVGyxBLsGpzXrEApmY/PmEJDBwjHMJgHW2FR2+cRffrts+WDAEwAANFYnF1O8b4sSCQmCIIgMxBVbrGfLUsbFVkh/sWXPMtCCFVOJvWH2Co1+111szZw5Ezt27AAAHHfccfjf//1fHD58GA899BDGjRtn+AESRCngjlnLlMXWuDoH39UBwOPgs8FpYwv97C1sPBxDcfLi/ucK2yXKloGYjVA50JjBBxtTSAZBEETRiUZF7OgegS9YmtZu5Sam1RSvbAXL0LrPbYTWbGyE2SlbSTZCs/R8lbZm0W0j/PrXv46uri4AwPe//32cc845ePzxx2Gz2fDII48YfXwEURIwxalG0bNlMgmYOqYGW7tcALLv11I+by49W3zGluJEabOYgEB57rLlA7WBxoyamLJFs7YIgiCKgyiK2N49gmc2HMG/Nx7B4SEfzju2Df9zyYnFPrQk2HXVbBJgigVKWMs4jdCfhbIl2wj19mxJxehosRHqLrYuvfRS/v8nnngiDhw4gO3bt2PixIkYM2aMoQdHEKUCD8iwxf/JTGuRi62GHIotppjlVmzJse8MPti4wk5c2cJ6tlSLLVK2CIIgioI7EMajb+/HMxsOY2ePO+6+/X3eIh1VeoKK9D5GefdsZa9sZWsjtKaYs1VpaxbdNsK7774bXq/8wXc6nTjhhBNQXV2Nu+++29CDI4hSgUWyJw7tmzqmmv9/LsqWkxVbufRshdiJUmEjrFD/c7YMuGPFlqqNUPr9Uc8WQRBEYfnly7vw0xd3YGePGzazCcvntuK/z5gGQO5HLjXUQh5sZV1sZdGzFVtvGGYjrNChxrqLrbvuugtutzvpdq/Xi7vuusuQgyKIUkNWtuJ3fFhIBmCUjTCHnq3YyclhUSpbsRN/hZ24soUpW40qyhYNNiYIgigOBwekTfxLTpmI976zFP972UIsn9sGID5pt5RgPVvKgoH3bJVhKJUc/a7DRpilshXiARmp52yJYvm9h6nQXWyJoqiauLZx40Y0NTUZclAEUWrw6Pd0ypaKWqKValvuSXisiVgZ2lGpAwKzJW3Plp16tgiCIIpBf+zcfOrUZr5xySzxelWTQqGmbDFbXDlucMpphDpshKxnS+9Q4wzR78rHVAKai63GxkY0NTVBEAQcc8wxaGpq4l/19fU4++yzceGFF+p68TfeeAOf+tSn0N7eDkEQ8M9//jPu/i996UsQBCHu65xzzol7zMDAAC655BLU1dWhoaEBV199dZLytmnTJnz84x+Hw+FAR0cH7rvvPl3HSRDeWCFTnaBsTR1rjI2w2oDod7YrlRSQgfK0NOSDtD1bpGwRBEEUBbWNMLZx6CvRYosXDBZlz1b5BmRwG6FVh40w2+j3FDZCpapWSX1bmgMyHnzwQYiiiKuuugp33XUX6uvr+X02mw2TJ0/GokWLdL24x+PBcccdh6uuugqf+9znVB9zzjnn4I9//CP/t90eP4z0kksuQVdXF1atWoVQKIQrr7wS1157LZ544gkAgMvlwrJly7B06VI89NBD2Lx5M6666io0NDTg2muv1XW8xOjFnULZctosGN9QhcNDPkOKrZxshCoBGRT9Hs+ABmXLHQgV9JgIgiBGO2rnZqWylcpVVUxC4Urr2crCRhj7HelVtkKxaPykgAzzKC+2rrjiCgDAlClTsHjxYlgsuoMMkzj33HNx7rnnpn2M3W5HW1ub6n3btm3DCy+8gPfeew8LFy4EAPzqV7/Ceeedh5/97Gdob2/H448/jmAwiD/84Q+w2WyYO3cuNmzYgJ///OdUbBGakaPfkz/3p0xpwj82HMasttqsn5/1bOViI5Sj3yvDP2404UgUw77Uc7ZoqDFBEEThiUZFDKq4DthCPipK/VGJ/T3FpuJ6trKxEWatbEnFWaKN0GQSYDULCEXE0WkjZNTW1mLbtm3838888wzOP/98fPvb30YwGDT04ADgtddeQ0tLC2bOnImvfe1r6O/v5/etXbsWDQ0NvNACgKVLl8JkMmHdunX8MUuWLIHNJv8BL1++HDt27MDg4KDqawYCAbhcrrgvYnTDhg07VYqtn3x+Ptbedhbmja9Puk8rRtgI5aHGioCMCo1RzYZhXwis37bBmaxC8p4tshESRMnQ6/Ljlqc2YtOhoWIfCpEnhn0hRGPnZuVGmHLjsBQTCVV7tspa2coijTDbocYxZUvttSrRkaO72PrKV76CnTt3AgD27t2Liy66CE6nE0899RRuvfVWQw/unHPOwZ/+9Ce8/PLL+MlPfoLXX38d5557LiKxiri7uxstLS1x32OxWNDU1ITu7m7+mNbW1rjHsH+zxyRy7733or6+nn91dHQY+nMR5YfaUGOG1WxCW70jp+dn87tCEZFL+XrhAwlVbITleOI3GrZzWuewJO2mAUobIRVbBFEq/HtTF5764BB+v2ZfsQ+FyBMsHKPWYYkLSLCZTWDOwVIMyZBDHhQ9WzH1rSwDMsLJ42Myke1Q45DKe8eoxFlbuoutnTt3YsGCBQCAp556CqeffjqeeOIJPPLII3j66acNPbiLL74Yn/70p3Hsscfi/PPPx7PPPov33nsPr732mqGvk8jtt9+O4eFh/nXw4MG8vh5R+nhSDDU2CmXwRrZ9W/6wShqhpXybdY2mPzZjq7nGrno/BWQQROkxFNskGfRSL2WlomYhBABBELhTwx8svWtY5c7Zyv9Q40CKNEKgMmdtZRX9Ho1Kb8Dq1atx3nnnAQA6OjrQ19dn7NElMHXqVIwZMwa7d+8GALS1taG3tzfuMeFwGAMDA7zPq62tDT09PXGPYf9O1Qtmt9tRV1cX90WMbpjaodazZQQWs4kXSZ4slRW281dFARmqsAt6o4qFEABqaagxQZQczNY74qdiq1JhG2FqwUXsuljKNkKlGlcZPVsFGGocTn7vGFzZKsOCNRW6i62FCxfinnvuwWOPPYbXX38dK1asAADs27cvya5nNIcOHUJ/fz/GjRsHAFi0aBGGhobwwQcf8Me88soriEajOOWUU/hj3njjDYRC8ol61apVmDlzJhobG/N6vERlEImK3KKXONTYSNisLU+WfVtyQEbyUONKOmlly4BHOgeoXdABUrYIohSRiy36u6xUuLKlElxUVcKztniiXsX0bBVwqHE6ZasCN4l1F1sPPvgg1q9fj+uuuw533HEHpk+fDgD429/+htNOO03Xc7ndbmzYsAEbNmwAIBVsGzZsQGdnJ9xuN2655Ra888472L9/P15++WV85jOfwfTp07F8+XIAwOzZs3HOOefgmmuuwbvvvou33noL1113HS6++GK0t7cDAL74xS/CZrPh6quvxpYtW/Dkk0/iF7/4BW6++Wa9PzoxSlEWP4nR70Yix79nt6gIhNRshJV30soWWdlKUWyxnq1gGNFo+e1KEkQlwhQtUrYql3QjOeT499K7hqn2bFXEnC39Q431FsOp5mwBgC1WwFXSukX3ynH+/PnYvHlz0u0//elPYTbr2/V///338YlPfIL/mxVAV1xxBX77299i06ZNePTRRzE0NIT29nYsW7YMP/jBD+JmbT3++OO47rrrcNZZZ8FkMuGCCy7AL3/5S35/fX09XnrpJaxcuRInnngixowZg+9973sU+05oxhvroTKbBF07Pnqp5gENufZsJStb5XjiNxpuValRL7ZY9LsoAt5QJG+WUYIgtEPKVuWTrtiyl7KylSaNMFyONsKs0gizDMiIqYLpbISV1LNl2GrC4dCfxnbGGWdAFFN/IF988cWMz9HU1MQHGKdi/vz5ePPNN3UfH0EAioHGNnNehyqykAxv1j1bMRuhormVlC2ZdFYVQLpoWEwCwlERbn+Yii2CKAFGYkPGvcEIIlERZlNpzVoicie9siVdw3wlXGypz9kqv2tuNjZCVgzrTVEOprER2slGSBCjj3QDjY2kOsfocbbzp4xtlZORym+XzWjYBb0xRc+WIAhy31aALEsEUQooFS3qp6xM+tMVW1nOcSoE7Loar2yVsY0wh6HGem2erJBKG/0eKb3febZQsUUQGWDFj9pAYyOpybFnyxdKbSOsJDk+WzIpWwANNiaIUkP5t+iivq2KZDBNsVUVc3wESrBni9sILXLBwAqFsiy2eM+W/qHGepUttSRHRiU6cqjYIogMsLlX+QzHkJ5fOml5grkNNVYWW+V84jeaTD1bAA02JohSQhTFuGAM2gSpTLTYCEs5+l01jTBcfm6SrNII2VBjncWwmgWTYadiC7j77rvh9XqTbvf5fLj77rsNOSiCKCWYjbA6j7HvgDwwOec0QktlWBqMRouyVUvx7wRRMgTC0TgLNCUSViZpi60ysBFWTs9W9kONdacRhlP3bFViQIbuYuuuu+6C2+1Out3r9eKuu+4y5KAIopTgARklbiP0q9gIK3GHKBv8oQi8McUwVc8WoLARkrJFEEUn0TZIylbl4QtGuAU+XRqhL1h61zB2XbVUSvR7NkONsyyM2NBnVRthGResqdBdbImiqJrItnHjRjQ1NRlyUARRSrDo93wrW7lHv6cealyOJ34jYaqWxSSgzpG6aK5xWAGQskUQpUBicTVCwTUVx0Ds3Gw1C6ohVOVmI7SV8TU3EE6e1ZkJh1UeapwuXTyRtEONK3CTWPNWfWNjIwRBgCAIOOaYY+IKrkgkArfbja9+9at5OUiCKCaFUrZYz5Y3mKuylTzUuJLk+GxQJhGmi++nni2CKB2Sii3aBKk4BtyyhVDt3FxVbnO2eJ90OfZsZWEjVKw3AuFo3GZvOlghpT7UeBQXWw8++CBEUcRVV12Fu+66C/X19fw+m82GyZMnY9GiRXk5SIIoJgWLfrdlv9AXRVHVRkjKlgTvCUjTrwUoerao2CKIopPYo0XFVuXR7wkAAJqq7ar3O3ixVXrXsLQ9W2VYKOQy1Jh9v9Zia7SlEWpePV5xxRUAgClTpmDx4sWwWGjgJzE6YLY+FmCRL6pz6NkKRUREYxtpyqHG5XziNxJZ2bKmfRxFvxNE6ZD4d0jR75UHDy5KcW6W0+5KT9mSB/OWf89WOBJFJLaI0KNs2cwmCAIgisyGmP4aCwDRqIhwlM0oS1Yz7dSzBdTW1mLbtm3838888wzOP/98fPvb30YwGDT04AiiFPBwG2G+e7aYjVD/RUXpZ3fY5D9rexlbGowk3RwXJWQjJIjSgZStyoeP5MigbPlKsNgKsUQ9S/n3bPkVG7J65mwJgiCHZGhUH5VFlHWUKFu6i62vfOUr2LlzJwBg7969uOiii+B0OvHUU0/h1ltvNfwACaLY8Oj3vPdsZb/QZxZCQVC3NJTbid9oBrzSoi1jscWj32kHnSCKDfVsVT7ySI4UylZJR7+nmbNVZhucSuVQj41Qery+wcbK9Ui6nq1K6jXXXWzt3LkTCxYsAAA89dRTOP300/HEE0/gkUcewdNPP2308RFE0SmH6He2o+SwmOOajLXsEG3vdmFfn0f3a5YTA6wvIFPPFtkICaJkcMX+DpmVjOZsVR7yjK0UypatzHq2LOVpgWOFjc1iShsipQZPjNT4O1IWoqpphBXY/pBV9Hs0Kr0Bq1evxnnnnQcA6OjoQF9fn7FHRxAlALP1FSr63ZONjVAliRCQ/dCpTvyeQBif/c3b+K+H3tYV21puDHqkRVq6GVsAUMui38lGSBBFhxVX7Q1VsX/T32WlwYutGvVzs8NSutHvQVVlS+7ZKqdrajbhGAy9yhYroswmAWZTcmFns8hx8pWC7nd14cKFuOeee/DYY4/h9ddfx4oVKwAA+/btQ2trq+EHSBDFpmDR77FiLhiO6rb9sR2lxCSgTMrWgCcIXyiCPnewok5siQxo7dlykLJFEKUC+zscz4stUrYqjUxJsaWdRpgckMFUGVEED5woB1ihpCccgyGHmGhVtlLHvgOKdUuZqYPp0F1sPfjgg1i/fj2uu+463HHHHZg+fToA4G9/+xtOO+00ww+QIIoNG2qc9+h3xfPrtRL6w8mx70DmZl2PYqZXNvbFckFOvKKADIIoF7iyVU/KVqXSn2EjzFEOc7YsyT1b0v1lVGyFjFC29AVkqCURAspN4tL7nWeL7tXj/PnzsXnz5qTbf/rTn8Jszq/NiiDU2HRoCPe9sAO3nTsL88bXZ/4GnbAixJlnG6HVbILNYkIwHIU7EEZDhv4iJb4g25WKP1FmUrY8Aflk5g1G0Kz3oMsEdkFv1DFnSxRF3d51giCMgxVXZCOsXDIlxcr9QKW38A6Fk3u2LIoCIhiJogrlsS7mNkIdSYQMtu7Q+jsKKvrD0j3fqO7ZAoChoSE8/PDDuP322zEwMAAA2Lp1K3p7ew09OILQwt/XH8aa3X34+/rDhj+3KIpc/cm3sgXIVkK98e9qA42BzMlIXqWyFazMhYwoirqj3yNRMcm28tqOXjyxrjM/B0kQRBJyseUAIG2ClJM1i0hPJCpiyJc+KbaqHJQtZc+WyZR0fzmQm41Qn7I1Gm2EulePmzZtwllnnYWGhgbs378f11xzDZqamvD3v/8dnZ2d+NOf/pSP4ySIlDDPN7OKGYk/FOXDgp2FKLbsFgx6Q7ptbGxGRnJAhnzSUlNqlMqW8v8riZFAmA9QzKRsOW1mPqBxJBBCVaz4HfaF8JXHPkAgHMXHpo/BxGZn3o+bIEY7iQEZgFRw1VdlHpxKlD5D3iBYhkRDquj3Eu7ZUrPDmUwCLCYB4aiI8KixEbKodn3R72oztgDFUOPRrGzdfPPNuPLKK7Fr1y44HA5++3nnnYc33njD0IMjCC2wIisfxZay6HFa828HyDb+PZWypZTp1dQtpbLlrVBli6laVVYzL55SIQiC3LelsCw9t6mL79oN5OFzRhBEMkzZaq6x8XMZhWRUDmyjtL7KqhoBDsi2Nn84UnLpfmrKlvLf5aVs5VBs6Yx+Z6+V6ndOQ40BvPfee/jKV76SdPv48ePR3d1tyEERhB6GYgNrB73GX4RZAeK0mWFSiSg1GtYXpldlYgMJHRb1gAxA/cSvLOoqNSAjUwN2IrUqIRl/++Ag//9KLUoJotRgxVatw4o6SgqtONi5uTnNuZltIIpi6UWBM+Uqsfco08iVUoTbCLPYVHboHmqc3OumhIotAHa7HS6XK+n2nTt3YuzYsYYcFEHogSlaQ3lUtvId+86ozlrZUrcRKi8Caicu5UyvSrURau3XYrD4d6Zs7TnqxvrOIX6/t0LfJ4IoJfyhCF+s1josfAYeFVuVAzs3p5t/qNxA1BotXijU5mwB8nV3tClbmqPfw+lthJXYs6X7Xf30pz+Nu+++G6GQpCIIgoDOzk5861vfwgUXXGD4ARJEJriy5TG+2GJBFYUIx1C+jt6wilQ2QrNJABPk1E783kDl2wgHNFzQlbDfwUjsvXn6g0Nx93tLsFGbICoNVlQJAlBjs/CkULIRVg5aXAdWszz4ttQGG6vN2ZL+HSu2wqVle0wHc8fkEv2u9fcT5AEZKaLfzawHbBQXW/fffz/cbjdaWlrg8/lw+umnY/r06aitrcUPf/jDfBwjQaSExaQDgMsfRtjgnRB3gWLfGbKylXzSEkURz246gv19nqT7Us3ZAuRdIrUTV5yypTMBsVzgM7ZSNGAnUhPbQXf7peQzlnLJVENvhdotCaKUYEVVjc0Ck0lQFFv091cpDGYYaAxIG/oOndHihSKVHU4ZTFUuyMqW/rWObmWLFVsZlK1KKrZ0b9fX19dj1apVeOutt7Bx40a43W6ccMIJWLp0aT6OjyDSMuSLV7Nc/rBmu5gWPIW2EfKereQFxfsHBnHdEx9i4aRG/O1r8QPEZRth8onSajbBH4qqK1vKgIwKLSLk3VO7pscre7be2t2Hbpcf9VVWnDq1CS9u6dEdy08QhH7kfi3p77HWzmyEpGxVCvzcXJP+mu2wmuEJRkoqkTASFfkYguSADEmxKUsbYVZztnQONdYRkFEp8y6zXkEuXrwYixcvBiDN3SKIYjCUEIox6A0aWmyx/pzqAitbatHvO7pHAAA7e0aS7pNthMknL7vFhBGo77LFRb9XaBEh92xpVLYUv4O/xSyEn1nQzi8QlWq3JIhSQhmOIf1X+rt0kbJVMciug8zFFgD4SkjZUhZSllQ2wrIqtnKxEeocapyi140/n1leb4UiImyW8i+2dL+rP/nJT/Dkk0/yf1944YVobm7G+PHjsXHjRkMPjiAykdinZXRIRikFZBwc8AKQFhvDCUVmJmULUPePj4bo9wGP9F5p7tmKLeoOD/nw4hYpYfXzJ07gsfGVWpQSRCnBFCyubFFARsUxoDG8yGEtPRuhspCqiICMUPY2Qt1DjcPabIRAeVkx06G72HrooYfQ0dEBAFi1ahVWrVqF//znPzj33HNxyy23GH6ABJEONn2eMegx1mLCCpBqW2FthGpWtc5YsZX4/4CiZ0vl5CX7x5OfczQMNda6e8pgyta/NxxBIBzFMa01OHZ8Pf8M+KjYIoi8k2QjpICMiqPfrd1GCJRasSVvXqaasxUsp4CMXNIIdQ811hb9DiSnKA94gohGy+d9Zeh+V7u7u3mx9eyzz+LCCy/EsmXLcOutt+K9994z/AAJIh2JSpbRg43dzEZYYGVLzUZ4cNCr+v+AYs5WmoAMtRP/6FC2dM7ZcsSnEX7+xAkQBEFWtiq0t40gSgkXV7bibYTplK2dPSN4ZsPhkht+S6ij10ZYSj1bTLUym+S0REZ59myxOVu52Ag19mylSHFkKN/TxGLrykfew9zvv4g1u/p0H2cx0f2uNjY24uBBacDnCy+8wIMxRFFERGXnnCDySeIg48Qerlzhypa9MD1bNWlshJ39qZUtX5piK51/fDTM2dJbbClj/s0mAecvGA9AoTqW0O4qQVQqicpWnSNzQMbNf92Ar/9lA7YcSZ4FSpQWoihqHjjPbIRalZNCIIc8JBcM5dmzlb2NsK5K+ttMdBqlIpjBRigdR/Jg40hUxI5uF3yhCNobHLqPs5jo3q7/3Oc+hy9+8YuYMWMG+vv7ce655wIAPvzwQ0yfPt3wAyTyz6AniPWdgzCbBJwxs6XYh6OLRCXLeGWrsD1bTj5nK/6iMuwNxTWGJ9kIUww1BtJPY6/0OVvhSBTDvux6tgDg9GPGoqVOOqmz302lpjYSRCmRKiAjnbJ1ILYhdWTIh3nj6/N8hEQueIMRfk3KWGzFCoBSsnCH0oQ82Mqx2AplbyNsjV0je11+TY9P994xbBaT9BlRiDj7+z3wh6Kospoxqbla93EWE90ryAceeACTJ0/GwYMHcd9996GmpgYA0NXVhf/+7/82/ACJ/LOr142rH30fU8ZUl12xNRTr0bJZTAiGo0lKV64UOvq9xq5uVUssrg4mFVvMAqBiI0xjaaj0OVvKnbaGKn1phIBkIWQ40/TTEQRhLHoDMvyhCL9vWOMOO1E8mOPAbjFlnGPpsJVuz5Za35HcJ10+dtZc0ghb66SxKr0jAUSjIkym9OmBXNlKV2ypDDbe1iUp1jPbapOsm6WO7hWk1WrFN7/5zaTbb7rpJkMOiCg8zCKn1idU6jAla3KzEzt73IanEbKFdaGj3xOLLdajZTULCEVEFWWLBWSk6dnKMGerEnuR2AW9wWmFJc2JXcnYWjv/nrNmy5sPLCCDii2CyD+scKrTGJBxdCTA/5+KrdJHae/ONEeJXdf8JTTkNp06Y2VphCV0vJmQ52zpX+uMrbFDECSbX58ngJba9Ba/TEONlfcFVYqt2ePqdB9jsdFfwgLYs2cPrr/+eixduhRLly7FDTfcgL179xp9bESB4IvIMlxssx6tKWMkSbncbYTsd+EJqitbJ0xsBAAcHvTxgYpAehuhnIwUf+IPhCNxiUqVXGxpTSIEgDnj6vCD8+fh4csXxvnXq7iyVXnvk5Hs7BnBI2/tQ7iMLDRE6TES0BeQ0TsiW5iM7t0ljEdPL20pRr/zkAeVGVDlGZCRvY3QYjZhTE1M3XIFMjxaVvwy2QiBxGJLmjE6e1yt7mMsNrrf1RdffBFz5szBu+++i/nz52P+/PlYt24d5syZg1WrVuXjGIk8U63oEyq3SE1WXE0ZI9lZDQ/I4EONC5tG6A9F4xarrNhaOLkRNrMJ4aiIrmEfv59ZANIFZCQqW96EQAxvMFJxKV5sDpvWfi0AEAQBl506CQsnN8XdTsqWNn7w7Fbc+e+teGPX0WIfClHGJEe/S0WXOxhWvU4pla0hn7GbboTxaA3HAEo0jTCcRtkylWHPVpo1hBaYlbBHQ9+WloAMm8q6pZyVLd0ryNtuuw033XQTfvzjHyfd/q1vfQtnn322YQdHFAZlj4o3FIn7d6nDerSm5l3ZKpSNUH4dTzCC+irphMN6tCY3V2NCYxX29nnQOeDFhEYngPRDjW0pLA2J6lk4KiIYiWaVRlSqDMQ+D406lK1UUPS7NtjO5uEhbc3SBKFGqoAMUZQKLpZOyOhVFlukbJU8g2WubKXt2YqpXeXUs+XPISADANrqHPjosAvdGootLQEZfHZX7LiGvEF0DUvPPattFChb27Ztw9VXX510+1VXXYWtW7caclBEYXFYTWC9huVkJRRFkfdoTRnLiq2QoeqMHP1emALUbjFzC4LSrsaKrYlNTnQ0OeNuAxQ9W2pphKmUrZhCU6tI30tUu8qdgdjQzGYdylYqWCHsK6ELfinC5iOx954gsiExIMNhNfNzmZqVkHq2ygs9ylZVSQ41TqNslWMaYQ4BGQB4am+PBhsh79lKMWcLSO413xpTtTqaqvgGTDmh+10dO3YsNmzYkHT7hg0b0NJSXkl2hIQgCNwiVU4hGe5AGOGYnYT1bAXDUUMXw54CDzUGAKctPiQjEhVxaFCyDHY0OdHRVAUAODgg3RaORPn7oBqQwU/88UUoe/46h5WfYBPVrnKHK1sGFFtOq/R7CUVE1Rh9QsIVW+garTITowtXgo1Q+f9qIRnKXhEqtkqfQR39tI4SLLbSDeZl19xy6luVo9+ztBHWao9/12QjTOjZ4v1abeVnIQSysBFec801uPbaa7F3716cdtppAIC33noLP/nJT3DzzTcbfoBEYai2WzASCJfVYFtmFbFbTGiutvGkvkFviBcsuRAMR/kJtaZAPVuAZOsc9oXgjv0uuoZ9CEdF2MwmtNY5MDGmbLE+LmVCU5VKaiK3NITVla1quxm+kAWBcLDi+pFkq0ruO2HK99YXjKS9UIxWwpEoHyHAdq4JQi+BsDyDqdYu/+3WOizo9wTVlS032QjLCa5s1WQutuyl2LOlSdkqHxuhnEaYpY2wXurZ0mIjDGqZs2VOLLbKt18LyKLY+u53v4va2lrcf//9uP322wEA7e3tuPPOO3HDDTcYfoBEYSjH+PdBRT+OIAhocNpwdCSAQU8Q4xuqcn5+pY3PWaCeLUD+XTDliRVVExqrYDYJycWWYrdPzQJgM0vPl2gjVM4Q84UiGPBUXj/SQGzRZUTPls1igs1sQjAShScYRr2z/KwM+UZ5/hjwZLaTEIQaymKqJk7ZYrO2VJStuDRCKvRLHXb91qRsxa5r/nDpbAaGWc+WyjU3VShVKVMMG6GWNMJAZJQWW4Ig4KabbsJNN92EkRFJ1qutLb9mNSIeZpMrp1hrFo7REFv0NjqtODoSMGxXky0cbRZT2pOC0STaCA8NyBZC5X8PJhRbdotJdV4JU7YSAzLkGWIW+GyRuNsqBT1N2FqospkR9EUr7n0yCpdPPn/0U88WkSWs2Kq2meOGl6aLf1f2bLn8YUSiYtkNPh1N6It+j/XLltB5N506k+qaW6qIoqiIfi8VG6GZPzYUiWJXjxuANJqlHMlpBVlbW5tTofXGG2/gU5/6FNrb2yEIAv75z3/G3S+KIr73ve9h3LhxqKqqwtKlS7Fr1664xwwMDOCSSy5BXV0dGhoacPXVV8Ptdsc9ZtOmTfj4xz8Oh8OBjo4O3HfffVkfc6VSjj1bQwlJcw2x/xrVK1LogcaMGnv8rC2mYLFeLVZs9XuC8ATCaZMIAcCeYpeNPb/TZoazQpP29FzQtVBNs7bS4lIoDgNkIySyxJ2QRMhg50ZXQrEViYroSyjuXdS3VdL0x2yfzRpshDwgo4SKl5CGnq1yCcgIRUSwXLHsbYRSsdXvCXKVLN3rAepJjgyljXDvUQ+CkShq7BZMaMzdtVQMNClbxx9/fMYJ34z169drfnGPx4PjjjsOV111FT73uc8l3X/ffffhl7/8JR599FFMmTIF3/3ud7F8+XJs3boVDof0i73kkkvQ1dWFVatWIRQK4corr8S1116LJ554AgDgcrmwbNkyLF26FA899BA2b96Mq666Cg0NDbj22ms1H2ulw2dtlVHPljxDSVa2AOMsJIUeaMyQLZ3S76JTkUQISIEWDU4rhrwhHBz0cjuDWhIhkDoZyasI/2ChIpWm2BhdbMmDjSvrfTIKZbE16A1CFEXN1w4iNQ+u3okRfxjf/eScYh9KQUhMImSkshEOeoOIREUIghQS5AtFMOwLGRKMQxhPKBLlBbMWizfbSAyUUEBG2jlbZdazpSyOsrURNjqtvG/+6EiAj6VRQ1P0u1UutrZ3SxbCWW21MJWpWq1pFXn++efn5cXPPfdcnHvuuar3iaKIBx98EN/5znfwmc98BgDwpz/9Ca2trfjnP/+Jiy++GNu2bcMLL7yA9957DwsXLgQA/OpXv8J5552Hn/3sZ2hvb8fjjz+OYDCIP/zhD7DZbJg7dy42bNiAn//851RsKaixl5+yIdsIpZN1I1e2jNnRLPRAYwYfnpvQs8WKLfb/Q95hdPZ7eSGRStmyMu9zijlbccpWBSk2vmCEF5FGLbrK0W5bSJQ2wlBEhMsfRn0V9bblgj8UwYOrJUfHV06fipaYXaeSUUsiVP470UbIkgibq22wW8w4POTDEClbJQtznwiCfP1OR9nN2Sqzni3l2iCd2pQOQRDQUuvA4SEfelzpiy19Q40jPPa9XPu1AI3F1ve///18H0cS+/btQ3d3N5YuXcpvq6+vxymnnIK1a9fi4osvxtq1a9HQ0MALLQBYunQpTCYT1q1bh89+9rNYu3YtlixZAptN/oNevnw5fvKTn2BwcBCNjY1Jrx0IBBAIKPzfLleefsrSwZlgXSsHZBuhtJhjJ22je7YKNdCYIauMsZ6tQWYjlE9eHU1ObDo0jM4BL+/xUot9B1JHv8tphBbuhS+nYjsT7IJuNQuoNUidZHaWclKAC0mi4jDgCZZEseUJhLGty4UTJjaW3c7o0YRhvaOh2JKVrfjPTl2K6HeWRDi21gEBkIotCskoWQY9sY3SKqumvjpHCaYRpu3ZilkLy8VGKPdrqfd9a6WtnhVb6fu20sXmM+yK6PcdsX6tWePKNx9Cdwn73nvvYd26dUm3r1u3Du+//74hBwUA3d3dAIDW1ta421tbW/l93d3dSbO9LBYLmpqa4h6j9hzK10jk3nvvRX19Pf/q6OjI/QcqcWoSFvjlwGBC0pzRNkJP0WyErH8uAk8gzHsR4oqtRjkkI91AY0BWthKbdVkx6bSZedpiJRURzELI0iqNgP1uSqlRu5RI7KUplUTCe/+zDZ9/aC1Wb+sp9qHoZjRGmo+kVLascfczWFP+2Fo7D0yiWVulS3/svKDV3s2ubaU0UJ4VUha1ni1LefVsBUK5JREyWuuk+PdMxZaeNMJgOFr2SYRAFsXWypUrcfDgwaTbDx8+jJUrVxpyUMXm9ttvx/DwMP9S+3krDTkgo3ROZplgykWyjdCogAyWiFXYYotZOr3BMA7GVK0GpxV1il1eZik8OOjjcbh2nQEZzKZYbbPI1sUyUjYzYXS/FiD3bJWTAlxIEkMJSiWRcF+fB4BsyS0nlMrWaCkgRlIEZKSyEbKCtEVRbI2WwrQcYcqW9mKr9IYaa5qzFS6Xni02Yys3Fw9T3TPFvwcVSloqmCPnyLAfR0cCEASpZ6tc0V1sbd26FSeccELS7ccffzy2bt1qyEEBQFtbGwCgpyd+J7Knp4ff19bWht7e3rj7w+EwBgYG4h6j9hzK10jEbrejrq4u7qvSSZztVA4McWWL2Qil/xrVs+VWBEgUEqciGbKzP7lfS/nvzgFvxjRCHkOblEYo/XxOu1mOm68gxWYwIa3SCKopICMtiYvgUkkkZL1kapHhpU68jbA03s98w2yCdRoDMljP1thaO+qrpL/30VKYliMDupWtWEBGOApRLI0CJmTwnK1Nh4bwYeegMQenk4CG4kcLLJEws7IlvXdalK2NB4cAAJObq/k6pRzR/c7a7fak4gUAurq6YLEY90ZMmTIFbW1tePnll/ltLpcL69atw6JFiwAAixYtwtDQED744AP+mFdeeQXRaBSnnHIKf8wbb7yBUEg+8a5atQozZ85U7dcarZRj43+SslXNerYMVrYK3LOltHQeHIyfscWYqJi1xawVjhQnSjbUODEgQ6ncsZ/RW0bFdibyoWw5K1ABNBJXwiK4v0SKLbbwLqfNJMboVra0BWQolS3WI0jKVunSz8/Ndk2PV24kJl7HikUwnLrvSG/PViAcwRd/tw5f/N26oqh3zBZfKBsh79lKO2dLuq83dv6bXcb9WkAWxdayZcu4zY4xNDSEb3/72zj77LN1PZfb7caGDRuwYcMGAFIoxoYNG9DZ2QlBEHDjjTfinnvuwb/+9S9s3rwZl19+Odrb23k64uzZs3HOOefgmmuuwbvvvou33noL1113HS6++GK0t7cDAL74xS/CZrPh6quvxpYtW/Dkk0/iF7/4BW6++Wa9P3pFI/cJlc9iJFHZajRc2Spuz5YnEOGDizsSkn3GNThgEqQLD3tMSmUrxYmf9WdJaYSVp2zlp9giZSsdTHFgGwYlo2zFjquczm+MUdmzFVAPyEhZbCmULW4j9JXGZ6/YiKKISLQ01CCGPGxeW3iOciOxVKyE6WyEeuds9boCcAfC8IUihrVB6GHYF79xnS2tdZmVLVEU5TRCDcoWY3ZbeTvMdK8if/azn2HJkiWYNGkSjj/+eADAhg0b0Nraiscee0zXc73//vv4xCc+wf/NCqArrrgCjzzyCG699VZ4PB5ce+21GBoawsc+9jG88MILfMYWADz++OO47rrrcNZZZ8FkMuGCCy7AL3/5S35/fX09XnrpJaxcuRInnngixowZg+9973sU+55ATZkFJATDUb5wShxq7PKHEImKmlKO0iFHvxdW2eJhFcGwauw7IJ3g2xuqcGjQh109IwBSB2QoG02VMHWmJm7OVvktRlPBAzIMLLa4AlwmfyeFhtn1JjU7seWIqySKrWhU5L1k5Vhs9ZGyxWHFV6KCKitbDj4QebhECtPdvW6s29ePi0+amPM1KRu++Lt16HH58fzXP55yQ67Q6FW2LGYTLCYB4agIXyiChjwem1bS9mzxgAxtRW7viFycuP1hoN6AA9RBv0Ebk3KxlbpnK6wo/LUMNWaUczgGkEWxNX78eGzatAmPP/44Nm7ciKqqKlx55ZX4whe+AKtVX8TvGWeckdZ/KwgC7r77btx9990pH9PU1MQHGKdi/vz5ePPNN3Ud22hDVjbKYzHCdi0FAaiL2UYaYv8VRWlRkuuJwx0sjrIVZyNMUWyx2w4N+rAzFoua6kKaapeNK1t2C5w8+r1yigi2Q9jkNC56nEW/e0tkd7XUYIvgyWOqS6bY8gTDYNf3srQRKpWtUVJsuVIEZLAeLncgjGhU5DH+yjRC1g9UKu/VXf/egjd39aG9oQqfmNmS+RsMxBMIY+3efgDAti4Xjp9YGq0T/NysUdkCpHPvSCBcMvHvmuZsabQ8KouTxETXQjAQCzJqNqjYcgfCcAfCfC2jRLkOYf3kaiQpW+2jrNgCgOrqalKGKoxyi35ndpp6xZwOi9mEWocFI/4wBr3BnIstjyKtr5BUKwIy2A5vqmLr7T39ODwk9XVlGmqcStmqtpnhVSQgVgr5UbYqr7fNSNjndUpzNYDSsBEq1aByVLZGc0BGKmVLFKUiutZhhScQ5vbnllo7uodLKyDjSOz8fDjWf1tIuobl19zRPVIyxRZLKdWqbAFSUp5UbJXGRle6WVEWk76eLaXtLjH8pRD0G3StrLFbUGO3wB0Io9flR83YmqTHBDUOUFb2j9U5LGivL+/5grl1wxEVg7JPqBxgnu+GhIGpDQbO2vIWKY2QLej73EEEwlGYTQLGNSSfaBJDMzIrW/EqspxGKEe/l8vvXwtsod+s44KeiaoyU4ALDVO2JjVLn81SKLaYtREor9EWgNTfQAEZMg6riS9k2WPY++O0mVFtt5RcQAY7jmL8LRwZkhfx27tHCv76qej36FdSmE2+VIotNrdSLeRB75ytXsXfeDE2hJjSmKuyBQAtsZCM7hR9W6xIFQSktdUqla3Z4+oMm5VZLKjYIgAoot+D4ZKJVk0Hs4gkNnTyWVue3C+0ckBGYX3uicXduHqHqi88udhKMdRYJYY2FInyHaZqm1lWbCqoiBiIfQYadVhVMsH692iocTKiKMrK1hhJ2eovgaHG8cpWaSzAtTISCMelr2UqtkKRKJ7f3IV+d/Hf91yQo9/j/3YFQUgKyVAmEQJQDDUOFv1aJooiv1YVo9hKVLZKAX8owgvk9oYqzd8nz9oqFRuhhjlbGnu24pWtItgIDQyTao3N2upN0beljH1PV0CxFGWg/Pu1ACq2iBhM2RDF0prSnoohPkMpUdkybrCxt8g9Www1C6Ha7Q5LCmVLxUaoTNNz2iwVl0YoiqKiLyAfQ40r430yEm8wwlPPJseKLX8oWvQCXhmmUG7KrTIcA8is1jy/uQv//fh63PfCjnweVl4JRaJ8QZ2obEm3xc/aUs7YAuRiKxQRi54aOhII87+JYoxBUCpbO3tKo9hitvdqmznp+p2OklO20vZs6bMRKguTotgI3cZZ7jPN2uIDjdNYCAHAblUqW+Ud+w5QsUXEcNrMYJsM5dDXMMhj3xOVLeMsJHyocYF7tuwWU5y8rrnY0hGQwRbAVrMAm8XEf8ZgOKr5AlHKuPzyIsfYocbS+0TKVjKsqLGaBTRX23iRzy7kxSJO2SqzocZMAaiNbcCwpNVU7O+TAnWODBe+P8golDv7ag32ScpWLMmtJbajXmU183NesUMyhhQOi4EiqLxKZavfE4yzpBYLFvo0odGpyxpWxZWt0jj3Bg2MflcWJsU4RxXSRhjSMGMLiC9iR7Wy9cEHH+DPf/4z/vznP2P9+vVGHhNRBARBKKu+ncSBxozGvChbhbURCoLA5zkByXZBRqPTGrcY0RP9Ls/Ykr6/SvF6lRBrzmwR1TazoXHHTptstyXiYb1RdQ4rBEHgF+5i9225FAvuYCSKQNi4z3e+VTtmkZvWIjWai2L6nW+2oHeVcW8X+/mcNjMsKgtZVmyx4p71uzBlSxAE1BvYu5sLyutQMTYduobjF7ylYCU8FAsK6WjSbiEEFDZCA/9+cyGUJiCDFWBREZpmnCmLrUKnEYqiaFj0O5DZRphuGLQStm4xCcAxraNQ2ert7cWZZ56Jk046CTfccANuuOEGLFy4EGeddRaOHj2aj2MkCgTv2yoDZYvtGCbbCI0ZbByNyhaUQtsIgfgd3VTFliAImNAoX7AyDTUOR0VEYyd+OWlR+h6bxcR3kiqhkMhHEiEghYkANNRYjcQEObbxUUrFFmDcZtILH3Vh7vdfxHVPrM+bG4ApEeMbqnihn65viy2aitH3YRSpwjEYso1QelxisQWAh2QUO1Akrtgqio1QKmzY+7G921XwY0jk4KCsbOnBbimtnq0w6z1SUWiUt2VSt3zBSFyBVei/XU8wwgsgI8KkMtoIY+9HYrR7IlPGVGNWWy0uOGFCycyHywXdxdb111+PkZERbNmyBQMDAxgYGMBHH30El8uFG264IR/HSBQIWdkq/Qs1V7aq1ZWtXHc0lQVHoW2EQHyBl8pGmHhfJmULkE907OdzKl7HWUEhGYMG7tQpYcVpMBxFuALslkbClAY29665Rnrvi7HIVJK4U2zU+e0/H3VDFIFnN3Xh079ekxfV4KiikGjQkLLHCttizOoxChcv2tX7eZJthMnFFnuvij3YWPm7GvQUNrBDFEWubC05ZiyA0lK2lBuFWii9nq1Y0ZCmZwuID6ZSQznQGCh8iA+bseWwmuIcLtnSmslGGE5tv1TisJrxwo1L8NP/Oi7nYyoFdBdbL7zwAv7nf/4Hs2fP5rfNmTMHv/nNb/Cf//zH0IMjCguPfy+DxfaQN5OyldsCjykXJiF1EZNPqhUnPc3FVoqADOVJjV0geKy94nXKyUaaiQEeoGJssRVntyyRi36poLQRAnKhW4xeFSWJ6oZRO8frOwcBSHa3vUc9OP83b+EfHx4y5LkZrJAYU2NDPdtISqPWDHBlq5xthOmVrbrEgIyR+DRCQDECpNg9W4rrUDgqxo0hyDcuX5hfx86IFVulEJJxKNazlcqxkQrWs1UqAV7perasJsU1N8Ng496EPrpCK1sDvF/LmBEpLQobodrmQrpgkUpG908bjUZhtSbvOFmtVkSjtNNbzjAbYTnMohlMsZiWla3cLrJy7LulKPMdWOFbY7ekTWya2CxfsOwZAjIA2S/NlS2FaldJ/UgDWcxx0YLNLM/5qYTeNiNJtBGyYiufytagJ5ixJyLJRmjA5/voSAAHB3wQBOA/X/84Pj5jDHyhCG56ciO+/Y/Nhu2+97nVlK3U7yd7rwNhY3vTColcbGWvbNVXGXMdyJVEO3shRyGwkJRGpxXHdTQAAHb2uLmVvFgczFrZKi0bYbqeLZNJUAw2Tv9+J9rtCl5sxT6TRrlAWEBGMBJV/fsLRqTzUiYbYaWh+6c988wz8fWvfx1Hjhzhtx0+fBg33XQTzjrrLEMPjigsrE/IWxY2QjZnK/6CbFRAhrdISYQMVmxNaKxKW+x1NGa2Eaqd+NX60Xg/UgUUEYN56tkSBEER/176fyeFhFnXmPLAAzLyFAywv8+Dk364Gjc+uSHt4xKVLSPSvj6MqVozWmowqbkaj1x5Mr5+1gwIAvDEuk5846mNOb8GIAdkjK21876bVOEX0agY1x9n1KJtyBvEOQ++gTv/tcWQ58tEYtGeiFxshRCORHkBw3bUAaWyVVwLa2JhXMj+RZZEOK6+CpObnbBZTPCFIuiMKUvFwBMI8/dAb88Wu74FSkTZCoXleVFqWDUmEvbEgiSY/a7QadBGxr4DUm8dK9zUrITBDO9bpaL7p/31r38Nl8uFyZMnY9q0aZg2bRqmTJkCl8uFX/3qV/k4RqJAMJWj1KPfRVFUzNmKP0E0GBT9XqyBxgxm70tnIQTirRjpmkgTT/welZ+vuoKKCCOHNCZC8e/qsCJAVrakxUO+FphbjrgQjorYeHAo/XHFFu8mA0dbfBh7zRMmNgIAzCYBN519DP7niycAAN7YYUxYFFdtahwZz22JsfBGFVuvbO/F9u4RPL7uQEH6eUd40Z45IGPAE4QoSr9b5d96psK0UCQrW4UrttiMrfYGByxmE2bEEi23F7Fvi/Vr1Tks/HekFUeJRb+HMgQ9MMUrY89WrCCZHvv9FNoCnA8XCLP0qoVkpFMEKxnd2/YdHR1Yv349Vq9eje3btwMAZs+ejaVLlxp+cERh4T1bJa5suANhhFPMUGK7M4FwFL5gJOuGz2INNGawBUWmYktSvqRIaGean5XtagZiNkKmbMXbCCsnaS+VzdQIuN2yxDclCg1Xtqrie7bytcBk9pdMxRxTtlrrHOga9htSbK0/IClbrNhiLJ4xBoA0zDaX8w8gKVV9sV3nsbV2Oc48RQGR+D4btWh7d98AAEkVf3f/AD4xs8WQ503FiI6AjF7e02aPm01o1KZbriQ6LIqlbAHAzLZabDniws6eEZwzr61gx6Hk0GB2/VpA6dkIWRFlMakXDawIy6xsSQXJtLE1eGt3f8HDbVjPlpEbk231DmzvHlGNf2etDLYUPeaViu6V5J/+9CdcdNFFOPvss3H22Wfz24PBIP7yl7/g8ssvN/QAicJRYy8PZYNdQO2W5PScapsZVrOAUETEoDeIKps+XziD7YYXy0b4+RMn4NCgFxee1JH2cQ6rGTctPQY9Lj/a6hwpH5ekbLFiUvH+1ZRR9H8m5Lkh+nZPtcBTG0tkh7VU4GmEscUwSyPM1wKT/Y7dgTAC4QiPhk46rlgoQXtDFbqG/Tl/vsORKDYdGgYAHD+xIe6+WrsFdosJgXAUfe5AVotKxqBX7kdrrrGhIUMfUuL7bJSytS5WbAHAW7v6ClBsxXq2Umx0sSLM5Q+p9msBsrJV7GKLvf6YGhv63MECF1vSIn5cg3RdmBmbVVTMREI20LhDp4UQkIutUgnICKUJyFDezuyGqWA2QqZsBWP9lqnOZ0bDbN5GFlts1paajVBOcRxdypZuG+GVV16J4eHhpNtHRkZw5ZVXGnJQRHGQla3SXmynUy0EQeCDjnPp21p/YAgAMKO1JuvnyIXjOhrwxytP1jTM74azZuCHnz02bW+XPWGwMevLcqr1bOlQtoLhKL786Pv47Wt7NH9PIZCj341JWFLitFZOb5uRyDbCeGVrMG/KVlD1/5UEw1G+OGtvkDZeclW2tnePwBeKoM5hwbSx8ecHQRD4wj8xZUwvTNVqdFphNZsyzo5KHJprhIWu1+XHvj4P//ea3X05P2cmMs/ZUipb0mKuJaHYatCQ3FgIWM/Y1DHS56SQg427mI1QoWwBxZ21lW04BlCK0e+xVL2UNsLYNVdj9Dv7jADG9JVqJR+We9Z/lt5GSD1baRFFUXVRd+jQIdTX1xtyUERxKJc5W6nCMRiNBlhI2KLiY9PHZP0cpQTzR6dTtrLp2dp0aAirt/Xg16/sKugMmUwMFELZKnEFuNCMJNgIWQ/ASEx5MhotxRZT2wQBGBcbtpnrQoaFYyyY2AiTioWIFVtHcyy2ElUbdr4bThH6kA9l6939kqrFFsfbu0dy/rkykWnOVp0iICOVsiXP2SpyQIZH+lmmtVQDKOwYBNlGKH3uZ7XVAQD293uLVrDkZCNkQ40zRKkXgkhU5KpzamUr/pqbCma1G9fg4Bb1QiYS5sNG2MoHGyd/3gPh9L1ulYpmj9Txxx8PQRAgCALOOussWCzyt0YiEezbtw/nnHNOXg6SKAxM2Sr16PdU4RiMXJWtQ4Ne7OvzwGwScOq05uwOssTgu2zplC2bfsWG2QQ8wQi6hv1cPSgmoUiU+97z0bNVXUG9bUaSaCOsc1hhNgmIREUMekJoqzfWFqOl2GIqUI3dwm1pudqkP+wcAgAcH4vTTmRsTazYcudYbLmlvy1ebGWwxvUnvJ7LgJ4t1q+1dHYr3ts/gC1HXHh7Tx8+s2B8zs+diszKlvQ+uANhvphTJhECyKgCFoJQJIqR2MYlU0ALFZChHGjMzsmtdVKi5bAvhN29bswbX/jN8YMDuShbpROQoSygUgU9aEkj9ATC/DPSWudArcMCbzBS0JCyfARkMBuhurI1OtMINRdb559/PgBgw4YNWL58OWpqZMnTZrNh8uTJuOCCCww/QKJwVJdJz44c651e2UpMgtLK27v7AQDHTajnMdblDttFCqZTtrL4/St3rnb1ukui2PogFl4gCHLhbSSsT5CKrXhYbxRbDJtMAhqdNvS5A+j3BNBWn7qnMBs0KVuxxXZ9lRU1CfOZsoUNMz5hUqPq/YYrW7Hird6ZwUaYD2UrVmydMqUJdosJW464sGZXvostbQEZURHY3y9ZHJOUrdh75QlGEAxHi7KLzopiQQAmNzNlqzDF1oAniEA4CkGQFvHScQiY2VaLd/cNYGfPSFGKrdwCMkon+j2+2FL/bGkJyGBW42qbWdoQcljR4woYslGilQGDo98B+TOnVmyxDV8qtlLw/e9/HwAwefJkXHTRRXA4jL1wEsVH3rEvfrEVikSx8vH1mNjkxHc+OSfuPtlGqH5y4IONs7ywVZqFEFBRttKkEerZ+e9VnEx39Yzg9GPG5nysufDR4WFc8+j7AIBz5rbFJZQZRbWNbIRqsEVyXZX8mWquloqtfCwylcVFql4YVpjUOayG9KT2uwPY3y8tGBdMaFB9TL5shDz0wRdStfOz99hmMSEYjuZcbA15gzwm/KQpTai2W/C/b+zFW7v7UrYTGEEmZavKauaK6d6jUrGV2LNV67DylNZhXyipGCsEzIFR57Dy1y9UscVUrTE19rhCc2arVGwVIyRj2BfijoNslK2qEgrIUA4qTlU0sJTCYJqADFaMsOIkcWB3vgmEI1xZM1TZqpc+733uAMKRKCyK94gVn/ZRZiPU/dNeccUVVGhVKLKNsPiLyI0Hh/DS1h48vGZf0u6IbCNU3/mUbYT6d4eiURFvxYqtxRVUbMm7bNKJX3XOll2/YqP83ezuded8nLmwo3sEl/1+HUYCYZw8uQk/v3BBXl6nivc2Fv+iXyr4FWMF6hTzc1gfgNGLTFEU44I3UvdsSZ/z+iorH9qey/ltQ2y+1vSWGq40JcIW1n252ggVseaAfF4LhqOq8dfsPZgUUw1y3R1/b7+k4E0bW40xNXacNLkJNrMJR4bjQzOMZiRhOHYigiDwRenhIcmWllhMmU0C//5UPW75hl1/Gp3WuDEIRvS2BsIRvLtvIKVqciT2vrQnqMlySEbhiy2majVX2+I2+bRiL6Hod/a+m01Cyg09LTZCdv1kn19+jipQscXUV+XfixE0V0ujGKKiHPTDGK1ztkZXaUmkpaaE5mxt7ZITk17e1ht3n3wRS6Vssd4G/RfZ7d0j6PcEUWU14/iJ6jahcsSWIvpdVdnSsRhVRrvuKmKxta/Pg0seXodBbwjHdTTg919amNOMo3QwZcsXKv6mRKnAFsiCANQoPlNNsfh3o1PYXD551h6QuheGK1tVFkWxlf35jVsIEyLflfCeLYPSCNlCrNpm5rvlQyoFBHsPJo+RLGu5ztl6d59kpz5lqtS3WmUz48SYdfItA1IJNx8aThpIHYrI6ZGplC21+xJ7toDiz9pi158Gp42PQQiGo/AYYD/+39f34sL/XYtH396vej+Pfa+PV5BmtRUv/p33a2U5DqGU0ghlK1zqgkGLjZCdI5iyVccHdhfmM9uvSDxVC/vJFrNJ4OfBxM3ywCi1EY6un5ZISyn1bG05rCy2euLuG1RcxNRozCEggy0iTpnaVFFpObYU0e81ioCMbIIflEMLd/WMFCWR8NCgF5f87h30uQOY1VaLR688KWW/hxFU8aHGxb/olwpscVBjt8RdtJuc+VG2+hNS3VKlvCl7tmTlPvuFDA/HSLMRky8boTTWInXfFnsPpvBiK7fz+DpFvxbjY7GhzblGwPuCEXzhd+/g8w+9jc6YLROI39GvSVds2eP/vtVsgsWetTWkSM112iy8WBgwYONhyxFp/M7be/pV7z/Ckggb4ovQY2LFVrfLj+ECvy9M2crGQgiUZkBGuoJBj7LFotILbSPMR+w7Q04kjC+2+JytClpfaaE4E1uJkqRakdaVT0++FpTK1prdffAFI3yRO6SwZ6jRkENARiX2awHyDlxiQIZTof44sxhqrTyRuvxhHB0JoCXNcOVc2HhwCI++vR+haHxBt/7AII4M+zFtbDX+/OVT8hKKoaQ6i3lkheSjw8P44XPbcMeK2QVrgnelsH4p7VNGkriRkikgo85h5QuZbIvkSFTkSswJWootdyCn8yhLM1QWEnVVVvS5g0kFhCiKso2wWVIOclmwuQNhfHRYWtCfNFkuthZPH4OfvrgDb+/pRyQqZt0Tueeom9s5f/fmXvzg/Hlxx1xlNaddyCqVrVq7RVXFLnYiYeI8yOZqOw4P+dDvCWBic/bDrgHgUGxe1caDQ6qfscQZW4w6hxXjG6pweMiHHT0jOFlRSOcbdszZDDQGFMVWCUS/8xlbaYstIe6xarCAKaZsGWF11gPbtMpLsVWrrmzRnC2dBINB7NixA+Fw8VUQwhjYIjIqFtcXHYpEsaNHsjnU2C0IhKNxtpWMylbsxKHXRsh88IC8g1sp2GIzSoLhKCJRkf9+q9WULY2LUXcgzC0xbGcun1bCH/9nO/7+4WH8e+ORuK/DQz5MbHLi8S+fyvtb8omzxAMynni3E2v39uOXL+8q2GvKA43j9++Yfcro+ULM/sLWmJmi3+OUrSyLkB3dI/AEI6ixWzC9JfWwc/YZDIblEQR6CUWi/Gcaq/hMp4p/d/nDfFE3qak6dlv2RcYHBwYRFYGOpqq4hNFjx9ej1mHBiD+MzbFiLBt29co2tr++f5CrePKMrfT7wErlOlX4RbEHGyfOgzSyf5EVLv2eIP9/JV0plC0AOKZV+uzuKPBw44MDLIkwO2WLBWSwa1gxMVrZauEBGdJnJdvzhl4Geey78dfNthSztpi7Jl2hWono/mm9Xi+uvvpqOJ1OzJ07F52dnQCA66+/Hj/+8Y8NP0CicDit8u5gMUMy9hx1IxiOotZuwWePlyKGX94uWwmHMgw1ZgsSvcrWh51D8IUiGFNjw8zW2mwOvWRRDlhUFglxypbOocbdsb6AWrsF82PJbLt68tMLIIoit85c94np+P6n5vCvH352Hv65crHh0eKpcJb4nC22qHlzV1/BLDeJA40Z+QrIYM/HLEmZhhrXKQIygpFoVkOWPzwYG2bc0ZBW0XFYzXzWWLZWQlZMmmPx+QxWQCSGPrCf32kz8+IjF2WL9WudPDl+zqDZJOC02OzBXPq2dvXImzKBcBSPvL0PQOYkQkad4v6UxVaRBxsnzoM0SuV1+UNxat3GQ0NJjzkypN6zBQAzY8ONCx2SwYrCCVkrW/JyNR9D0vXAiy1Lmp4tDcUWi35nKlCtYmB3IWDnjVRjdHIhVfw7VwVHmY1Q9097++23Y+PGjXjttdfiUgmXLl2KJ5980tCDIwqLySSURKz11iPSjtvscXVYOqcVgBSSEY2KCIajvBDMNNTY5Q/p2gFTphAW00KZD2yK6HdWJJhNQlz8Ktv594e07Rz28l05O2bEdvp3H82PsnVk2A+XPwyLScD1Z03HlYun8K9LTpmUFxtEKkrhbyQdh2OLGl8ogjW7cg8y0II80LgwNkL2fDNapE2RIZ/633qcsqXYWMjGSrj+wBCA9OEYjDE59m2xJMPmaltcD1xDCmvcgMIOxKL3R/yhrHso31Xp12Iwi/Wbu45m9dyArIAvni4Vbn9aewAj/lDGGVuMWi3FllOOyi8Ggwmpuc0GbTwcTlCyEkNGIlGRL3DbVZQtFpKxM08bY2qIooiDbMZWtj1bFvnvt9iJhFoG88rKlvbod9anWDgbIevZMl7ZYuMYuhOKrSDZCLXxz3/+E7/+9a/xsY99LG5BOnfuXOzZs8fQgyMKj7ME4t9ZsTWnvQ6nTm1Ctc2M3pEAPjoyzFO4BEH25CfCLrJsxopW3txVeZHvDGUyEgtAcdrMcX/Dyhh4LYVEz4h0Em2rd2BGzJqi3LE2EvaZmN5SA7slPymDWinlocbRqBhnK3ppa3dBXlfujUqwEVbnZ74Qe76psTAIUVQPxGGDluuqLLCYTdyKlE0IEFO2tKSU8kTCLOPfE8MxGHUpbIRMCWuusfNCJRQRefKXHvyhCDYelFRktZ6ej82QZumtPzCU9YYDU8C/dvp0TBtbjRF/GI+v69SsbCmLMbUkQqCUAjLila1c/xYSbYPsd8XocwcQjvXTqb03yvj3QgUaDXiC/HyZ7eB7k0ngm4bFDsngIQ/pii0Lm7Ol/jfoDoT5e9ISs+HXFTggg50zjZyxxWBOk94UNkKKfs/A0aNH0dLSknS7x+OpODVgNFIK8e9bFMWW3WLGx2MX99XbevkFrM5hTTvfojb2c2hNJBz2hbApZseotHAMQDHUOCLyE3x1wqwTm9nEo6W1FBK8ubfWwRWGfM3a2tYlq53FppQDMo66A3znEJAU4UL0N2SyEQ55QwinsdPohfcz1dr55oraIlapbAHZzxIc8gb5AN0FHQ0ZH59rImGqYiuVWjPgkRdN1TYz2Kkxm76tDQeHEIxE0VJr52EbSiY3OzG+oQrBSJTP4tKDPxRBZ8zqekxbDb56+jQAwO/X7OMN+5lm/mhRtoodkDGUMKLEqDEILNWP9V5tPjwc97fFZmy11tpVr5HTxtbAYhIw4g/ziPh8wwrE1jo7D7rIBnuJxL9rUWcy9WwxVavWbuHW9NpiRb/nIyAjptZ1Dnjx4/9s519sjUA2wgwsXLgQzz33HP83K7AefvhhLFq0yLgjI4pCsePfRVHkSYRzYgvrs2ZLxf3L23p4Q2eqJEJGQ7W+WVvv7O1HVASmjq3OeuetlFFGv3Nlyx5/0RMEQe7b0vD7Zz1bLXUOTBtbA0GQbAn9OQ5zVUMutorfS5eLOpJvWL9WW50DdQ4L+j1BfNipf0GsF9lGGF/AK/9OjbRz9Ssii1m8vNoiNtHeWJulTYdFvk8dU61pYZJzscWSCBMCX+Q+pARlS/F+CILAN82YsqeHdXslC+HJU5pUN1AFQeD2v2z6tvYe9SAqSoXj2Bo7PrNgPNrrHTg6EsCf35F6wJUjKdSIV7ZKNSCDBTkl2ghzOz+ywmXJjLGosVvgC0WwU+Eo4DO2UlzHbBYTHw9QqHlbsoUwtxRGdu71FVvZ0jJnS2OxxVQtQP7cFzr6PR/K1rh6BywmAb5QBA+9vod/sUHkqZxJlYru6Pcf/ehHOPfcc7F161aEw2H84he/wNatW/H222/j9ddfz8cxEgWEqR164r+N5PCQD8O+ECwmgVvTPjGrBYIgKV6sqTdTvHej04aDAz4MerRdaN+q0Mh3hnKXLZWyBUg7/y5/WJOy2TsizwipspkxobEKBwd82N3rRrPBqYClqGwFYqlY2cZf5wO2EJs8xom2Ogf+ueEIXtrag4WTk+1gRiKnEcZfQC1mExqcVgx5QxjwBA1Li+QpWjU2NFXbsLfPk6RsRaNi3JwtQN5M0l9sabcQAvlUtlhARgobYWzRVOuwwuUPZ7VD/u7++GHGaiyePgZ/ff9QVj2BLIlwRksNBEGAzSLgyx+firuf3coVr8w2Qu09W8UIyBBFMSnIqckgSy3bUJnY7MT8CfV4e08/Nh4awpx26dzIlK1xaQKDjmmtxa5eN/YcdeMTs5KdSkYjh2PktpEpz9oq/56t3oTYd0CxGVQBc7ZqHVb86gvH4/0DyZt9rXX2imzXSIduZetjH/sYNmzYgHA4jGOPPRYvvfQSWlpasHbtWpx44on5OEaigPBZW0XatWe9OTNaa3lvzpgaO46PWXf+vv4QAA3Kls5dzTW7K7dfCwAPwgiGo6ozthh6EgmZjbAtdrGYPjbWt2WwldATCONAbIFRCsWW8n0rtZAMthCb0OjE2XPaAACrtvbkvTdDthEmL5J5SIYBw1wZA4rG7qYUioEnGAZzUDJ7Y02W8e8fsvlakxo0PT7nnq3Y9yUWp7wPKSmNMH5eDvt59e6QB8NRfBBbHKmFYzBOmyadJ7d2uXiYh1aYjWh6i6xSX3xyR9w5XU9AhlIZUMJj8ougbHmDEW41MzqNUFm4HBe7LipDMpiylc6hwYoepjLkGzn2PTdliyUSBoqtbGkYzCtb99MrW/HFlvSZdQfDiObZ/h2Ninnt2QKAc48dh+9+ck7S17VLpo26gIyshhpPmzYNv/vd74w+FqIEkHsainMyS7QQMs6a3Yr1nUPYeEhqBk6VRMhgF24tNsIjQz7sPeqBSQBOTbObW84oo99ZIV2tYtWR+5G0FFvxM0JmtNbi1R1HDe/bkhq5JbtQIeZoZcJuMcEkSPPofMFIxoVhIVEODj195ljYzCbs6/Ngz1F33OLWaFKlEQLShXzv0WTlacQfwhd+9w4CoSjOmdeGc+eNw+xxtZp6f1lvT3O1TTHLK35RzdQfm8XEd8RrstxMYglw08amnq+lRIuyJYoi3IGw6ucnlbJVz89rqW2EgDJCWt/P+dGRYfhDUTQ6rXzzRI2xtXbMba/DliMuvLq9F/+1sEPza7AUvBmKWWVOmwVfOm0KHli9M+74UxE3ZyvFOUHZsxWNinGpjvmGLWJtZhPfnBnDP6fG9GxNaHRy1WRDXLGVWdlixZbajK58YLiyVeTod009W7GAjFCKgAy2WancLGCfe1GUCq5MvYu5MOwL8c2oTE4hInd0l5bPP/88XnzxxaTbX3zxRfznP/8x5KCI4lFT5J4tZTiGkqWzW+P+rcVGCCQHZOzuHcE/Pzwc9/X/3tgLAJg/oaFifcTMPx6IRLlFUK3Yknu20l/MRFFU2CCkiwUb9KocWGoEW0vIQgiw3jZmty2tkAzeG9FUhRq7BYtiM5Fe2tqT7ttyRk6RS/77SaU8Pb+5Cx8ddmFXrxu/emU3zvvlm/jEz17DT17YnraXxBsMcxtRU7Ut5fPzJELFMWUbkNGvs7eBFUnpVJ/H3jmAY+98Cc9v7kq6ry+VjTBFzxZbwLPNCNY7pzcg4/39Ur/WSZObMhYn7Jy8SudniynfzCbOuHzRJH7+0Tpny5IwhyzuMVVyKu1Iga9nSgsh2zxgn1NvMAJflueNYV+ID7wd31DFw1p29ozwDbJ0M7YY45myVaBiy6ieLRb/XnwbofT6ljR/I5l6tpgNX5kYabeY+MZovq2E7JxW67CMurCKYqD7Hb7tttsQiSSfKERRxG233WbIQRHFw1nkni1mI5ybUGwd01oTtyuW2UYYP9i4zx3A7X/fhLMfeAM3Prkh7uuRt/cDqNx+LQCwsuj3sDzUuFrFRlht06ZsDXpDfHePXSzYTrXR8e+l1K/FcJborK3EwaHL5koL4pe25LfY4tHvqjZCqQBItE/9a+MRAMCKY8dh2ZxW2C0m7O/34rev7cF5v3yTW48SYXZEu0VSDVI9v5xEKB9TTRbFVigS5c+ltReRFUn97kDKNMhXt/cCAP741r6k+zL1bI0EwnEJdOw9aVL0bAH6U83Y5+cYDUPdz47NQNQzPDsQjuBAP0vTi3+NxmobvrNiDuaNr8PpM8emfZ4pY6qx5JixuHzR5JRFocNq5oEKicVpvklMIgSkzx5bgPdnGZLBiqOmahuq7Ra01jnQVudAVAQ+OiydJ5mypTZjizG+QTo/FMJGqBxHkbONMHbezbZYNQoekKHBRpi5Z0v+GxcEQfG3m99rSz7DMYhkdNsId+3ahTlz5iTdPmvWLOzevduQgyKKRzF7toa9IX7yT1xYC4KApbNbeWHUkOEEwS5yva4AfvfGXvzy5V18d/PESY1J/Up1DisuWzTJiB+jJFH6x5ka41QJyHBqjP5nFsLmahvfFWPKVu9IAMO+kGEqYSklETKq7RZgJFBS8e+RqMib4zuapI2JpbNbccc/PsKGg0Podfm55dNo2G57KhshEG+f6h3xY+0eKYjhW+fMwsRmJzyBMF7d0YsfPrcNXcN+bO1yqS7OBhKS91INi+XWRsXnMJueLRbGYRJkZSkTzdV2bjUd8ARVQxz29klR8u/tH8SRIR/vsfEFI/xclTRnS6H4uPxhNFXbIIpiUqN7tvN6+nivWOYF2Nz2OrTXO3Bk2I+3dvfhrAT3gRr7+7yIREXUOiyqKYJfPGUivnjKxIzPYzGb8KerTs74uAanFb7hCIZ8QUxEbgt9PTBHRb1iU1AQBDRV29Dt8mPAE+QbInqQLYTyxuNxHfXo3uLHhoODOH5iA3pjhboWZWvYJw2SzqcVus8dQDAchUmQZy9liyN2rSm2jZAVUGnnbGXq2RpJ7tkCpHPUgCeY9/h3ds7IR+w7kYxuZau+vh579+5Nun337t2orq425KCI4iHbCAt/MtvSJfVjTWisUl2oswh4QLuytXpbD374/DaMBMKYN74OT311EZ7+2ml47OpT4r5+c8kJSSe9SsKuGGrs5T1basqWNsUmsV8LkHbTWZ+AUX1b0ajILWWJamcxYTvmpVRsdQ37EI6KsJrlYaatdQ7eRL96W29eXjcSFblSpGb/UgsGeG5TF6KiNLNqYmyWU7Xdgk/Ob8cJscS/VP0kiYVFqmGxiTO2AEXPlg5Fkh13o9Omue/HbBK44qbWtxUIR+KUu+c2yVZCVvDYLPK8QIZFMUOQ9aO6A2G+oGP9a9nujveNxOyIKRL+lAiCgKVz9FkJlf1ahZjLWazBxux3k3idyjUkQ633SQ7JGEaPyw9RlIqAdIpFjd3Cr5H5VreYhXBcfVXOoQilkkYo92yl/gwr+6QTEUVRDshIGDzN+y3zvOFNylZh0f3J/8xnPoMbb7wRe/bs4bft3r0b3/jGN/DpT3/a0IMjCk+2PQ1GkMpCyDhlSjNfLGWKKm2ulhcLY2psuO+C+fjXyo/hpDxHYJcq3NIQFtMrWxp7kdQsEICsbu02qG/rwIAX3mAEdosJk5tLZzOHFareEpq1xRZi4xuq4uLol8UWxC9t7c7L6ypVorQ9W4o0QmYh/PRx7UmPl5v31W2EqYqtxAUstzaq9GzpKUIGFDHzeuAhGSp9W539Xijdhez9UD5+bI1dtSCpTxhszI7PYTUphqNm17PV51FPQUwFsxKu3tarKT2N92vlMaxFSX2REgkHVWyEgPwZGsgymVMZgMNYMKEBgBSSwZIIW+vtGTcGxjcUpm/LqHAMQE4jLPZQ41COQ41dfrnvNDFNM9twG70kJpgS+UV3sXXfffehuroas2bNwpQpUzBlyhTMnj0bzc3N+NnPfpaPYyQKiNaenXwgJxHWq95vs5hw92fm4uKTOnByhqJp4eRGfHL+OPz3GdPw6jfPwIUndRQ0jarUUAZk8J4tNWVLYxHRnWJXji2ijOrbYhbCmW21sJRQVGxVCQZkKGPflbBi6+3d/XnZRGELeofVpNponag8HRzw4sPOIZgE4JPzxyU9fkLMOphJ2WpOKLYGPcG4iPvEGVsAUOPQb5NmSpPeRQmz4qkpW3uOShbCiU1OmE0CNh8exr6YrTBVvxaDz4+K/XxyeIcy1Ux6jN6hxiyYQ4uNEJA2wGrtFvS5A9hwaCjj49kmTGI4Rr4o1qwteaBx/PuYSoXVipqN8NgJ9RAESaHaHEvrTWchZLBiK9+JhEbFvgOyo6BUot81FVvh5E2I3tj1s77KytU6Ro09u35LNV7b0Yufr9qp2jfK0lubqrVtrBC5obtnq76+Hm+//TZWrVqFjRs3oqqqCvPnz8eSJUvycXxEgSlm9PvWFEmESj53wgR87oQJGZ/LYTXj1188wbBjK3eUARnMIpqLsiXPCFFXtoyatcU+E7PbSsdCCMh2S18JBWTITejxC63pLTWY3OzE/n4v3th5FOcdm1zg5EK62HcgWXliKs6pU5tVe8jYQjJlQIZixpby+cNRES5/mBdXLpXZX9kEZAyoFDNaSBf/vrdP+vs4YWIDJjU78eauPjy78QiuP2tGxmKrPiGRkKkkSuVN3h3XvmALhCP8PdOqbNksJpw+cyye3dSF1Vt7uAU0FWwTZnpLgYqtKvUh0PlmmCtb+bIRyoVLrUOK6d/V68YLH0nqdbuG3qjxBZq1dXAgWY3LFlaY+IpebMV6ttIGZEibu2o9W6yvLvH6Ccj9lrmmEYqiiFv/tgm9IwEcN6E+qadSVrYqM4G51Mhqq1gQBCxbtgy33HILrrvuOiq0KojqIkW/+0MR3ueTrtgissOmaNZNl0bIevYy92zFLhYJF3W2Y21Uz1YphmMAQBUf/lyYi74oirjr31vwaCwgRo2Dg+rKliAI3O710hbjrYQ8Yj1FeAQrAga9QUSjIv6dxkIIAB2KWGq1YcxskcCe12E188+yUjFI17OlZzMpZxuhWrEVU7amjq3h78O/Nh6BKIqZla1YAcH6gvpV7EDZDDVmP6fFJOgKtzlbY99WKBLl6p2WtEMjaEgxlyzfDPKerQQbYYoxBVpRU7YAuW/rvQNSdP+4NAONGew8kXcb4ZD6MWeDXWfPliiK+OjwsOG2w2BYQ8+WJbWNkPc81yYXxUbZCA8N+nhRxwaVK0nctCLyS1ZDjV9++WW8/PLL6O3tRTQa/0H6wx/+YMiBEdkjiiIO9Huxdm8/1u7pxz2fnad5OB5bjBS6F2VXjxvhqIgGp1XTrhyhD5tFOdQ4pmypztnSlkbIZoQk2gjZINTDQz64A2H+ecqWUox9B5R228IUW3uOuvHHt/bDYhJw0UkdSdYTIH1vxJmzWvG7N/dh7d5+w4+NKVupZiOxIiASFfH+gUFs7x6B1Szg3HnqChuLpR4JhOHyheMS3YDkni0AaKqxwTPgw4AngCljpN6+dD1b7oD2xXefO/n1tMCG7ar1bO09Km1GTB1bjY/PGIs7/vERdvW6saNnJK5nS416biOUztGJA40BZZO9jp9zRC4q9YRXnDGzBRaTgF29buzv82DyGPXeyv19HoSjIqpt5rQDd40ksb+tUAwq5mwpYQvbbGyEcTO2VIqtv31wCGxvQpOyxWyEhVK2DLAR6u3ZWrW1B9c+9gGuWDQJd31mXs6vz9BiI0w3Z0ttoDGjJgtVWo31nYOq/8+ggIzColvZuuuuu7Bs2TK8/PLL6Ovrw+DgYNyXkdx5550QBCHua9asWfx+v9+PlStXorm5GTU1NbjgggvQ0xO/u9bZ2YkVK1bA6XSipaUFt9xyC8Lh0rH+6GXAE8SWI8NJXx8dHsbfPjiEb/x1Ixb/+BWc8bPXcPvfN+NfG4/g3b0Dmp+fLbYLHZCxNZZEOGdcXUFSqkYbNrO0OA9mmrOlUdnsHlaPrW2stnEL0p4c1a0hbxBHYq8zu8TUTj5nq0B/J93D0sU5HJV2atU4lKJnC5D6OgDpIp9tv0gqRtLEvgOA3WLmRTdT5k4/ZmxSEcWospn5Z+igSkiGMh2QwWdtudMrW7UObZsJSriSprfY4sqWP+k+Fvs+dUwN6qusOCM2V+pfG47IfVMplS1WQEg/K7cRKpWtLHbH5dh3fTvd9VVWnDJV6qFdvS21usWsxdNbawt2ji92GmGqnq1sbIRM1WqutiVZwFlIBkNLz9YEriCr23WNQDmOwpCADDbUOKxN2doU62HbErOjG4Wenq2wypwt2YavpmzFVOkcry3rFWrWxoPDcXP5AHmkBUW/Fwbd284PPfQQHnnkEVx22WX5OJ4k5s6di9WrV/N/WyzyId9000147rnn8NRTT6G+vh7XXXcdPve5z+Gtt94CAEQiEaxYsQJtbW14++230dXVhcsvvxxWqxU/+tGPCnL8RvPc5i58958fZXyc1Szg+ImNWDS1GdN0+OPlaOQIRFEs2EWR92uVmIJRKVgVylY41iybbc9WOBLlCzM1z/mMlhr0uQPY1evm9pZs2NYlNdNPaKzSrMwWCvY+eQvUO9CrWLBvODiEhQkBMcFwlIeWJPZsAdLf9cQmJzoHvNjW5cJiAwd4ywONU/+OmqptcAfCeCFmY/xUCgshY0JjFfrcARwa9GHe+PjAnEEVW5/arC21OVvZpK3KNkJjerYGPEG++Gcq3KcXtOOlrT3496YjvDcspbKV2LOlYgdSRr9rPY9nW2wB0jy3t3b346WtPfjyx6eqPob1a80oUL8WoOzZKnRAhnrPFk8jzKrYSl20zBpXC5vFxO1t49IMNGaw5+lzB+EPRVTVclEU8e1/fIRBTxBXf3yK7jTfbpefj6MwYrQKs29rVbY6YxtQLKXRKLTN2UrXs8WcIcl/a0bZCNd3DvH/94Ui2N49ws+loigqgnWo2CoEuoutYDCI0047LR/HoorFYkFbW1vS7cPDw/j973+PJ554AmeeeSYA4I9//CNmz56Nd955B6eeeipeeuklbN26FatXr0ZraysWLFiAH/zgB/jWt76FO++8EzZb+X3InFaz6gIXkHazTpvWjEXTmrFwUhM/MemBKRuRqIhAOKp6As4HbOdp7ngqtvIB22ULhKM8olnN4letoWer3xNEVJRmCaktQGe01mDt3v6c+7ZK1UIIFD76ndlOAODDg0NJ93cN+xAVpXlqqRbps8fV5qfYymAjBKRiq3NAGmhbZTXzPp9UTGiswoaDQ6rx72q2OaZy9Wvs2QqGowiGo2kb3PnrZWkjbElRbDEL4fiGKn6OPmtWK5w2Mw4O+NA1JC3EMqURDiWmEdYolS3pMZGoCG8wwovMdPSpBG1oZensVtz17614f/8ABj1B1d3yXb3yjK1CkZjcWAgiUZH/TaRMI8wi+l0tHINhNZswr72OL7DbNShb9VVWVNvM8AQjODzkw7Sxyb+XPUfd+L93OwEAL2zpxqlTm3DDmTOwaFqzpgKefdY7Gp1x4yiyRa+NkCnjPS4/IlHRkGMAlMpWujlbmW2EagVojT13G6EvGOHXz+ktNdjd68b6zkFebHmDEQRihTlFvxcG3TbCL3/5y3jiiSfycSyq7Nq1C+3t7Zg6dSouueQSdHZKf/gffPABQqEQli5dyh87a9YsTJw4EWvXrgUArF27FsceeyxaW+UL+/Lly+FyubBly5aUrxkIBOByueK+SoULTpyAdd9eqvr1z5WLces5s/DxGWOzKrSAeLWjUCEZ0ajITwypYt+J3LApii0+Z0sl+l1LzxazQIytsatevGYYNGtrawkXW1V8+HMRlC3FjiVDueudahHE3kf2vhpFJhshEL97unROq6qqqoQtKBNjqYPhKH895XOqKQY8uEPZs6U4L2o9v2W7Azy2RlpISTN15M+JHI4h9zZV2eQClCnPLSnTCOMT9tR6LxxWEyyxv02tO+R9GXrF0tHR5MSstlpEReCV7erDs5myVahwDKA4NkKXL8R7pxJ7ttjvaCQQRiCs79yRKhyDwVwEDqsp6XXVEASB936lin9n7oJahwVWs4B39g7giw+vwwW/fRtv7jqa8TW2x75/lkEBR9xGqLXYiilb4ajIP99GwIutNJs1Nh6QkdpGqJbGys5XubRybDo0hHBUREutnY/XUNoK2TnDZjFxSzyRX3QXW36/Hz//+c9x+umn4/rrr8fNN98c92Ukp5xyCh555BG88MIL+O1vf4t9+/bh4x//OEZGRtDd3Q2bzYaGhoa472ltbUV3t2RV6e7ujiu02P3svlTce++9qK+v518dHR2G/lyljNkk8FkWevoacqFzwAtPMAKbxRS3ACGMg534gwqve7XKglfLnLWeFAONGdPZrC2DlK05JZZECBQ+IKNXoY4cHvIlqSWpZmwpYcUWW0AZhWwjTK9sMVKlECpJNdiYpbyZTUJcEZU4vygYjvJ4aKWyZTGb+PlNy2ImFInyokavjbCuysI3OZQLvT2x2PepCUESn5of/76ksvPJCXuxNEKVOWCCIOiOf+/PwUYIyPPc1Pq2wpEoj7svVOw7EK8CqiVbZosvGMGd/9qC9/cn90Ozz2it3ZLU01PnsPINqkGPvgIw03DgBbFiq70h9YZLIpkGG2/vls7Bn5zfjtdv+QS+dNpk2C0mrO8cwhV/eDdl/yhjW+z7Zxk0usOhI43QGwxztRYw1krICihtc7bij1UURX4+V9tQMcJGyBTOEyY28nEMSluhcoOGeuQLg24b4aZNm7BgwQIAwEcfxfcOGf1LO/fcc/n/z58/H6eccgomTZqEv/71r6iqyr3ZMhW33357XOHocrlGVcFVbbfAF4rkJSTjmQ2H8atXdscN2fPFFqyz2mrTnryI7En0lguCbMlQ4rTLik00KqoOgu5OsysHyIupzgFvyl6ATIQiUb4TXopqpxz9Xhj196grvrjacHAozoqXasaWEtYPubt3RLOFTguyjTBNz1ZMeaqvsuL0Y8ZmfM6OFIONmaWv0WmL+2wmFlsuRYFRk2Bv1HN+Y/1hJkEOptCKIAgYW2vH4SEf+txBXggrY9+VLDlmLOocFrj8UopnKncC79mKFRBqQ40B6fcx6A3FvRfpyMVGCABnz2nDL1/Zjdd3Hk36uz8w4EUoIllIx2uIJTcK9l4Fw1H4Q9GsHR+J/G39ITzy9n58eHAIz6xcHHcfTyJUmV9kMglodNrQ5w6g3xNAm45UxnQ2QkCK4D93XltGi64SHv8+pB6SwZSpOeNq0d5QhTs/PRf//Ylp+O8/r8f7Bwbx5q6+pJ5Kte+f1WbMhpldh42QpSAyuoZ8vCDNFaZsZdOzNewL8U1PtTRCZb9ltrD0wRMmNWDBxAYIgnQ9PjoSwNhau2qiK5FfdBdbr776aj6OQxMNDQ045phjsHv3bpx99tkIBoMYGhqKU7d6enp4j1dbWxvefffduOdgaYVqfWAMu90Ou330zh6osZvR587PQvLhN/el7OU5bZpxfSREPIl2h2qbRXVzRKl2+ULqvR69sWKrLUWxNabGhganFUPeEHb3utNejFOx96gHwUgUNXaLISlWRsPeJ1+BlK2emI1wyphq7OvzYMPBwbhFVaoZW0omNFah1m7BSCCMPUfdhtkzZRth6ssJK/Q+d8J4TUWecrCxMuBBXiSo27PY/UyNqnVYkqyu7PympdhSJh+qbTxkYkys2FIqkcrYdyU2iwnnzhuHJ98/mLJfC4ifHRXXe5FQJLEdcpdOG2G2yta88XVoq3Og2+XHq9t7ca5ieLZymHE272O21Nil338kKmLIF0SVzZhzCbPybjviQiAcgd0iF3E8ibBKfSHbXC0VW3pDMjLZCJ02C3576Ym6nnN8YyZli9kA5XNFS60DZ81uxfsHBvHRkdTKVigS5dd6o841TJX2a7BgdiYMRTdS2ZLnbOmPfmfOkEanNe5zw6jJcaixKIr4kBVbExtR57DimJZa7OgZwfrOQSyf26ba90rkl7KSEdxuN/bs2YNx48bhxBNPhNVqxcsvv8zv37FjBzo7O7Fo0SIAwKJFi7B582b09soe8lWrVqGurg5z5swp+PGXC2yBbXTPliiKfKHxyy8cj6e+uoh/PbNyMW5ZPtPQ1yNkEnfgUvm0HVYTWA2WqtiWY2vVF2WCIPDF9ZY0F+N0MAvhrLbagi7OtFJIZUsURfTGLtDL5koF1oaEkAyubKUptgRB4L0T2wzs21JL/UvkU/Pb8ff/Pg3fPm+2pudk6ocnGInrt1Eb4Kv8N1e2VGZsMfhiRsP5LduBxgw+aytWbIUjUb4ITFS2AOCikztgMQlpd+DZIj4cFXmRbbOYkkY51OncIWfKVrbFliAIvD/k1r9twuZD8t/+7iKEY7BjaqgyPiRj46EhAJJqsT3BlptqxhYj8bOqhWFfiP8e022o6IXP2lIptoZ9IRyOxbbPTFCm5sWCrNLZCPf1yRtmRqmZTC31BTPbCA8mFVvGzRPTE5ARFRHn5EkX+w7ImyTBSDSrYcwHByQl3WoW+EbnCZMaAMiK1yAVWwUnq4mj77//Pv7617+is7MTwWD8CePvf/+7IQcGAN/85jfxqU99CpMmTcKRI0fw/e9/H2azGV/4whdQX1+Pq6++GjfffDOamppQV1eH66+/HosWLcKpp54KAFi2bBnmzJmDyy67DPfddx+6u7vxne98BytXrhzVylUmqjUOttVL70gAnmAEZpOAc+a2GWZjIjKTeFFIlU4mCAKqbRa4A2F4AxFAxf0hD2RMbYE5dnw93t7Tj82Hh3HRSfqPt5STCAE5jbAQypY7EOb9R8vmtOF/X9+LTQeH42yecs9W+kXN7HF1eG//oLHFli+zsmUyCbx3QAsOqxlja+04OiLFv7N0u8EUljn2b1aMqSURMtj5TcvOcZ9KP5QeEuPfDw76EIqIcFhNGKfy93PCxEa8fusn0oZxOKwmHvPNLIljVHov9PRsRaIinyc2JsvCEgC+sWwmNh0exrv7BnDZH9bhyWsXYWZbLXay2PcChmMw6p1W9Cvi9nPF5Q9hz1HZnbHx0FDciAumbDU61d9HpkD260gkZKrWmBqbYVZIQDFrS2Ww8Y6YqjW+IXn0xrx2aRF/oN+LYV9I9e+MnWNmGrhhxoqtgIYihG1qVFnN8IUifGajEfCerTRrGOV9oUgUZpN07JtihfqkZvWiuUbhLhnxh3Xb8D/olPoI57bX8+89fmIj/u/dg/jwgPTapGwVHt2r3b/85S847bTTsG3bNvzjH/9AKBTCli1b8Morr6C+3tjeikOHDuELX/gCZs6ciQsvvBDNzc145513MHas5Pl/4IEH8MlPfhIXXHABlixZgra2trhiz2w249lnn4XZbMaiRYtw6aWX4vLLL8fdd99t6HFWGloH2+qFDbmd2OSkQqvACIIQV3ClSyByZlBtMu3MAcDc2I7aR4ezW9SXchIhADit+dmQUIMVt7V2C46bUI8qq5lbAQGpf4E1XLNep1TkIySDLeaNnoWmFpKRqteALWD9IWloN7POqYV2yIONdShb1dltzo2NHddRt/Q3w5T9KWNS2+nGN1SlXWAJgsAXt+z5Ei2EgL7ej0GvNM5BEHJbgFXZzPjDl07CcR0NGPKGcMnD67D3qJuH5RRa2QIUQ6ANKrY+OjQMZdZGoso8lGLGFkNtJlwmmPI03kBVS3o+6W+sx+WPC08C5HCM2SoBRY3VNq5WpXIvMAui2vdnC49+12AjZOcNpup0G1psae/ZAuL7tl7bIaU4fnyGeu+qySTw+Pds+ubXxwoq5eYW+/9Nh4cQikSzHtROZI/uFe+PfvQjPPDAA/j3v/8Nm82GX/ziF9i+fTsuvPBCTJw40dCD+8tf/oIjR44gEAjg0KFD+Mtf/oJp06bx+x0OB37zm99gYGAAHo8Hf//735N6sSZNmoTnn38eXq8XR48exc9+9rO4wchEMtkM/tTCnr5YY/gYShwsBsoLg1oSIb/Pnj5pL5ONEADmtbNFvStpcn0mRFExCqC9RIstpmyFInxuWb5gse9j6+ywmE04doJUyLJ5W2xX2mkzp1zgMeaMk38vRqSziaKoKGyMLbaYJfKgothKtSNbbTPzz3e/O5he2dJxfsvZRpigbKnFvmdDAy+2pOdrUikGec+WBvucMnjEkmNIUY3dgj9deTLmjKtDnzuASx5exzcGZrQWvtiSA0WMGWy8MWaPZDbBjQnFFksjTJyxxWCf3X4dxZZW5VovY6rtsFlMiIrJxcg2Hm6hfg4+NrahtiXFhtp2bgU37hzOot9DETHOmqcGU7ZOntwMQArIMIpgJHPPltWkULZiheywN8StfGfMTB0UpDdJVIkyHIMxdUw16qus8Iei2Nbl4uc1tXl4RH7QfVbds2cPVqxYAQCw2WzweDwQBAE33XQT/t//+3+GHyBReLTEf2dDqsZwojAobQ1qM7YY6ZTNQDjCexJSBWQAwOTmatTYLQiEo9itsNxogaW3WUwCZhbBdqSFxCCRfMIW6q210vt9fMyy9GGsSZ8txDoanRkTYWe21cIkSAu9xPj4bPAGI3zRk26ocTZMUJkBlKr4EQQhrhcmbc+WjmKrL8uBxoykYisWfz4txw0nttBnG1hqO9R1OiKkmV3SqJ3ueqcVj119Mqa31KBrWFJN7BaTof1GWmFFj1HKFiuuLlooJRTvOeqJS3zUrmxp//vLFPueLSaTIPdtJSQSMmUr1Yws1re1OUXfVj6ULaWFMl0/kyiKPI3wlKlNAICekUDGAk0rTNmypOnZMpkEPuuO2Q7X7O5DVJSCYtL9LWQb/+4Nhvn7rlS2TCYBx09sACDN21KbzUfkF93FVmNjI0ZGYl7e8eN5/PvQ0BC8XvX4UKK8kHd+jV1Epoo8JgqDVmXLmWaGFAtqsFlMqqoBw2QSuCql10r4Xmx2zdzx9Yb2JxiJMkgk37O25AGY0sKdhScw+5KehZjDasaU2ELfiOHGbDFgUcznMwq1wcbpeg3Uii21zygvtjQsZHK12/BiK1bM7DHoHMgGG3MboVqxVcVshJmLjFyTCNVorrHj8S+fwntTpo2tUR2Cnm/YZ2DAa5SyNQQAOHNWC/+b+0gRBsKUrVSqAVMhs7ER5qNYnaCSSBiNirxnK5UyxcIX1BIJh7xBnv5n5BBru2LDMN0mV587CF8oAkGQzpeWWCKlERtMABAKS8VTOhshoJi1FSvOXtshhbWdkWH8BTtH6S22Nh4cRiQqoq3OgfaEUJITY8XXB51DCjs2ZRcUCt3F1pIlS7Bq1SoAwH/913/h61//Oq655hp84QtfwFlnnWX4ARKFpyZPPVt7UwzzJAqD0vKQrmeLpZqp7fwrLYSZVBTWRJ1p8GUi7+2XbBAnT9YeqFBoBEGA08pmkuU3kZAVuGwA5oLYDuWObhe8wTC32WXq12IY2belTCI0es5i2p4tFYsWU7sGPMG0CYlsIaMlSTLXRcnYGkmNPDoSiKWxGmMjrK+K78dSK7b07I7nOmMrFa11Djz+5VOwYv44fH3pDEOfWyvs7+JAX+6bwT0uP7qG/TAJUrHBgjE2xAowQE4jTLUZlY2NMFPsey7wwcYKm13ngBfeYAR2iwmTUwQ5sGJrX58n6VrB1JWOpqq08/f0IggCL7jSKVvsnNhW54DDaub9xUcMSiQMabARArLyFYxEIYoiXt8p9WudnsZCCCj7LfWpscxCeOKk5GvnCbHb1h8YpICMIqDb9/HrX/8afr+04LrjjjtgtVrx9ttv44ILLsB3vvMdww+QKDzVOhYjWvGHInx3jpSt4qDcFUyVRggATtazpVpsxVva0nHshOzi39/bJylbCyc36fq+QlNls8ATjOQ9JIOFX7AFw7j6KrTW2dHjCmDzoWHdFqPZ4+rw7KaulImEq7b24P6XdiTNhzGbBHztjGn47PET+G0uxTwro1EONmaztnjxo1IUKJUtbT1bmX9v/TkWIWNq5eCOrmE/V5CmGGQj5K+TJiBDy1DjfChbjAmNTvzmiycY/rxaYUPWd/XmvrnALITHtNai2m7BggkNeG5TV1zfVqY0QuWmgBZEUeSqU0ceiy2lgswshMe01qbs4RtTY8e4ege6hv3YesSFk6fI5+t89GsxHFYzArEh1ang1urYOWRcvQOHh3zoGvIDBkQLBDVEvwPxs7a2dY2gdySAKqs57r1SI1sbIZuvxSyDSo7raIBJiC+qqdgqHLqvkE1N8ofEZDLhtttuM/SAiOLjzMOcrQP9XoiidBLJJVqYyB7lLlx1up4tnkaYvBjlylZ95mKLKVtbjrgQiYqaLESDniBPLluosjtXSlTHhuP6QnlWtlhAhmLQ7YKOBry4pQcbDg7hEG+e16ZsKUMyEolGRdzz3FYc6FdXAX743DasOLadp4nKA42NDccAgPYG6TPmDUYw4AmiwWnjC9l0NsJ+T1COo1dJI5SHhmoIjsixt8Fps6DGLo1SWLevH4CkUOa629+QUESmC8jQpGzFCvp0w5TLFVZsHej3IhSJZlQj0sEshMdNaJD+G1O2Nh6UN5Tknq30ARlD3hDCkWjGQBKXL4yR2LV4fIPxNkK1wcZyOEZ6C+Dc9np0Dfux+fBwXAHBvn92hu/PBofVhGFfBmUrdk6cyIqthirgwKBhs7a0KlvcRhgW8eZuSdU6bVqz6jBjJbU6ZgEyRFHE+lgf7wkq184auwXHtNZy1dEkJJ9HiPyh+6xjNpvjhgQz+vv7YTaXZn8FoQ/ZRmjcjr0cjlFjuN2I0IYybt+pqWdLRdmKLfy1KFtTx9bAYTXBG4xgX6yRPxPvH5B25qaNrUZzHnbZjYT1KOVd2eI2Qvk9Pz7mv99wcCgrZQsA9vZ5khYsa3b34UC/F7V2C5748in4y7Wn4i/Xnor/u+ZUtNbZ0ecO4oUt3fzxsl3PeGXLbjHzxMtDgz4M+0Jg/e1qC1ll8EA6ZYvbCDP83kKRKH+eXHaAWQGzbq+k2BoREJSobKn2bOmIfs+1qCxl2usdqLaZEY6KONCv7TyUClZUsSJr3vg6mASg2+VH97Af/lCE9xI1VKsvZBudNt7vOaghtONgnmZsMdgmjVLxkMMx0itTx45Xt4pr/f5sYOfdQJr4905FaBAgKVsAeB9ZrrDAi0wjbKwW2Ub4+g5tFkIgOxvh/n4vBjxB2MwmzE2R4qsswhqdNsPmnxGZ0V1spYoLDgQCsNkq70Q9GuFDPw1Utlj0b64pXET2KC0P1el6ttIU2z3DmWPfGWaTwFUUrVZCFo6RyWZRCmSKyDcK2UYYr2wBwLp9A3yhrLVnq7XOjkanFZGoiF098UmRf37nAADgghMn4LTpY3Dq1GacOrUZi6Y14+KTJsY9BlDYCO352SFVhmSwsIr6KqvqjrIyeMCVZvYXbz7PcH5jA5RNQuoYby2MjW0arNvHiq3cbdSJvWhqRRKPfi+yjbDYCIKAaTF1a3evvmRUJdGoKCtbHVKR4bRZeADExkNDXNWymATUprBqm00C3yzQYiXM14wtBlO2jgz5eFofTxLMoEyxREJlsRWJitjRo00ZywY2g84XTG0jZMXWxGbpZ5OLrdyVrUhUjp3XqmwNeoL4ILaReMYxLRlfozaLgIz1seefN74upXJ2oiKhkGLfC4vm7chf/vKXAKQT18MPP4yaGvmCEYlE8MYbb2DWrFnGHyFRcGrsqZWNbGGN4dOKMNSSkIgLyEjXs5VO2XLF9w9l4tjx9VjfOYTNh4bxmQXjMz6eFVsnlXi/FiCHjOQzIMMTCPNNjxbFe37s+HqYBHmxVuewpE2HVCIIAmaPq8Pbe/qxrcvF53Z1DfuwelsPAOCSU5IbG75w8kT8+tXdeHffAHb2jOCY1tq0w4ONYEJjFT44MIhDg15uP06lvjTFlIR+jT1bmWzSrIhtdNpyStFjytY+A+cMJhZ/6YYauwNhRKNi2l1sZiMcU4E2QgCYPrYGmw4NY1ePG+fMy+459vd7MOIPw2E1xSXsLehowPbuEWw8OMRtaw3O9IExTdU2DHiC6PcEAKQvSFg4Rj76tQCgtdYOs0lAOCqid8SPOoeV24hnZiiWmLK156gb3mAYTpsFB/o98IeicFhNmNRs/OaqPVZspbcRsh4345UtZS+r1p6t13b2IhwVMXVMNSamCBxRwqzOmTaElPD5WhNT2++Vyhb1axUWzVfIBx54AICkbD300ENxlkGbzYbJkyfjoYceMv4IiYLj1Giz0QMNNC4+SstD2qHG6Xq2mI1QY7E1N008cCK+YASbYxHK5VVs5U/ZYqqW02bmmyCAVDAo/fd6I6FZsaWMf/+/dw8iKgKnTGnCDJW45rZ6B5bObsGLW3rw+DsHcNdn5qVVkIxAOdiYLWRTLRKYstXvVszZShf9nmEhM2BQYldiH9Q0A5QtZa+F1ayuojBlSxQBdzCc8nckiiL6KthGCADTY8OU9c78U8JUrbnt9XEbV/MnNOAv7x3ExkND+NiMMQAyK6HKMJdM5DP2HQAsZhPG1TtwaNCHw4M+dJlioyZq7Rmt3C11DoyttePoSADbulw4cVITPyfNbK3NS9S/g6URprARhiJRrmDxnq16qVDtGjK62NKmbK3eKrXeLMkQ+c6o1WEBZrB+LbUkQsbkZicv9Cv1b71U0Wwj3LdvH/bt24fTTz8dGzdu5P/et28fduzYgRdffBGnnHJKPo+VKBCsZ8soG6EUeSz3bBHFwRanbKW2EaZLI+x1JVva0sFDMg67EM0wUHLDwSGEYzNC8hFxbDT5Gv6tpNclL3wSUSZOdTTpe79mJ4RkhCJR/OXdTgDApadOSvl97L6/rz8MTyDMgyiMjHdWohxszJWmlMWWdPuRIR/v7VLt2dLYfM4H/eYY6JNYbBnds9VcrT6GwWE187/5dIu2kUAYwXBU9Vgrheljc7cR8n6tWDgGg1kKNx0c5sVTpuABttBlaZeMYDgKlz8U98X6zPJ5TlQmEm5n4Rga+62YusU2yvKZRAjINsJUaYTs799uMfHP87hY2E7viB/hSGr7oRZYvxagpdiS/i67Y+fxMzT0awHKcBttPVueQBg7Yn1yauEYDEEQcHzMgk42wsKi2/vx6quvxv07Eolg8+bNmDRpEhobSzs9jNCG0mbDIpdzoc8dxIg/DEEAH3BJFB7tyhaL/o/fOXSnsLSlY0ZrDWwWE0YCYXQOeDE5jbLJLIQLJzeWRYhKVQGVLbX3e0FHA/7v3YMAslG2JOVqW5cLoihi9dYe9I4EMKbGjuVz21J+3+JpYzC52Yn9/V78a+MRvhjIn41Q2bOVXn1ht4ej8sBRu0oDe03s8x0MRxEMR1M2ucuvl1sBMlahDtjMJkMUCmURmU55q6uyxM6/IQDqi3VmIayxW/hCttJgiYR7jrozWipTwYaIs+KKcUxrLRxW6Rz3YUxd0Kpsfdg5iEhUxJYjLmw5MozdvW7++U0kr8VWYxWwTwrJYImz7ByRiXntdXhley8+OiIt9rexYcgav18vVRlshJ2K2Hd2HRlTbYfVLCAUEdE7Ekga+KsHVqyZTUJG5U5ZjNktJpw6tVnTa9TqGLwOSD1zUVGyS2ZynZx37Di8sqMXp5RBX3QloTsg48Ybb8Tvf/97AFKhtWTJEpxwwgno6OjAa6+9ZvTxEUWAFVvhqMjnSeQCU7UmNFZV7MW8HNA61JipXomKDbsI19gtcZa2TK/JmqwzWQnLKRwDKExARk8aZWtBh7y5pbefY3pLDSwmAS5/GEeG/fjzOin04qKTJqRN2DKZBFxyiqRuPbb2AO/Zyr+y5c1o66uvssYtflINWlaOPUjXt2WUjZDN2gKkzSYjrFW1DitPtEunvGmxI/EkwgoeyTGxyQmb2QR/KBqXuqeVYDiKrbFigoXTMKxmE1fwX9sh2cUandqUrX9uOIK7n92Kp9cfwvbukZSF1viGKhzfkb/N7AkqytZsjcrUvIREQp5EmDdlK/1QY7lfSz4nmkwCL0JyDcnQOmMLiN/gPHVqs+b1j14bISt02e8iHRecOAFb7zpHUw81YRy6tyOfeuopXHrppQCAf//739i/fz+2b9+Oxx57DHfccQfeeustww+SKCxOq3IxEsk4EyITe3m/FlkIi4lN41Bjbo9L6NnjC3+NFkLG3PH12HhoGB8dduGT89tVHxOORHma0sJJ5VFsydHv+bMRHh1Jjn1nTG+pQbXNDE8wolstsVvMmN5Sg+3dI3h+Uxfe2t0PQZBCMDLx+RMn4Kcv7cDWLhdqB6TPSl0ehhoDQHtDFQRBsgyxobSpih+TSUCj04q+mDUrldpmMZvgsEoLb3cgnNJO05fjQGPG2Br5d5frMGOG2SSgzmHFsC+UthjkiYS+1HYkHo5RgUmEDIvZhCljqrGjZwS7e92akzsZ27tdCEaiaHBaeR+QkuM6GvD+gUHsiQVBZbJoLTlmLP7w1n7UOSyY016Pue110tf4+jgllB+/SchrTLesIHuxjce2a1OmWMDOrl43+twBXuxoVcb04tCobCX+nlhf2pEhP05M7ZTOCLMRapnXpnyMVgshoN9GyArdYzUUWwDyMkKASI/uK2R/fz/a2iSbyfPPP4//+q//wjHHHIOrrroKv/jFLww/QKLwKBcjnkA4553dPb2sX4vCMYpJ3FBjLdHvCcoW69dq02ghZKSaxaJkW9cIPMEIah2WjAlYpQJ7n3wFsBGq9ciZTQKu/tgUvLy9FydloQbOHleH7d0j+MXLuwAAZ85s0VS0NVbb8Mn54/D39Yd5WpZaEIUR2CwmtNU50DXsx6ZYT0i64qep2saLpHTpjDV2K/yhQNq+LRY1n2sjubIPysie1Qan9mIr3Q65HPteucoWIG1OsGLrE7Myx28r2cgshBMaVNXS4xLUrsQ5aIksnNyEzXcuKxm7NIt/39A5hJFAGFazoHlztK3OgeZqG/o9Qfzzw8MApMIml3EJ6cjUs8XmkiUW1FJIxiC6c0wkZAEZNk3Flvz7PWOm9s8c6yv1BCOIRMWMaji7trIofqL00G0jbG1txdatWxGJRPDCCy/g7LPPBgB4vV4aalxB8MGfBjT/c2WLwjGKil2nspWYRsnCFLQmETKYxeajI8Mp5/QxC+GJkxrzkmCVD6ps6n8jLn8INz25Aau39uT8Gr0j6dXEm5fNxHM3fFxz7LsStvPMCo50wRiJJD62Nk/KFiBbCVnB0JSmh0o57DhdQqKWECDZRpib4qMsDo3ccGK/83SKVJ2G4aiygle5yhYgjx1hCqkeNiQMM05kQUJohtrQ7URKpdAC5IAMtnkybWxNxoG9DEEQuH3tbx8cApCf+VoMe0YbYYpiKxaScSRXG2GY2Qi1K1sTm5yYrKNfXXk+zRTk4w2G+RxTdq0lSg/dxdaVV16JCy+8EPPmzYMgCFi6dCkAYN26dTRnq4Jw2uSQjFzZSwONSwLlLltVGu+4U6FsseLovf0DeHjNPgDA6RrjaxnHtNXAahYw5A2l7Jcop/lajOoUARn/t64T//jwML7/ry0pi0utsLlmajbCXJmtSBub0FilOZYYAI7vaOADq4H8Rb8DyeEfTWkWssrCJq2ypSGR0KheJqvZxAui6QbOGWSKlprtjCEPNtaibFV2sTUjh8HGLPZ9QYf6YrajqSquTytTGmGpMa7BAWXtN1tjEiGDKSrbu/UlGWYDD8hIEf3Oi62E88Y41rOVY/w7G3dhtWQullkLxhkzx+oqru0WMy92M1kJt3W5EBWlvl6twVVE4dFdbN155514+OGHce211+Ktt96C3S6doM1mM2677TbDD5AoDtV8Fk1uFqlgOIqDsTkhNNC4uLBdNqfNnNb/z5QtUZSsGv3uAK57Yj0iURGfWdCOzyxQ77tKhd1i5kNAPzrsSrpfFEW8t1/q1yqnYivVnK0XtnQDkJK91H5ePaSLfs8V5YLqi6dM1KUoCoIQp27ly0YIJKewqQ3w5fcpLHXpEhKrNWwmsVhuI+bRfGfFbFzz8SlJCkgu/PcZ0/GFkzvSpkdqabRnxdbYUWAjBKRiS88myIg/xJWD+Sl+f4IgxKle+bLQ5Qu7xRx3jtGrTCX2CuVT2WI2Ql8w2UY44g9h0CsVJ4njMMbF1LsuV27F1jMfHgGQfngw48KFE/DxGWNw5eIpul+nVuM8QHaN0RKOQRSPrLwfn//855Nuu+KKK3I+GKJ0YDabXJWtzgEPIlER1TZzXhaMhHbYTpkzTew7EK96jfhD+MZTG9HjCmDa2Gr86LPHZmV/mddejy1HXPjo8DDOmRe/ONzf70WfOwCb2YT5E8rnguHkc7bkYqt72M/jnwHghS1dvIFcL/5QhCsS+dixHFNjxwkTG3Bo0IeLFnbo/v7PLGjH/76xB3aLSXWorlEk7lCnK36Ulr90yhZTfFJFK4ciUQzHQiVy7VkFgPOPH4/zjzc2/evkKU0ZkztlZSv17nj/KLERThlTDZMgqXxHRwKa/6Y2Hx6GKEpWu3Tq3/wJDXhtx1EAQGN1eSlbgPTzMSVdrzI1N8G+plcZ00O6ocYsnKOp2paUkNrOBxtnbyMc9obwzMb/396dB0dZ5nkA//bdOTo3uSBcARPCpUSIaCGyco7jAbpS6lhKgbg71rDIslVSW+WuVc6wOyzHUsrwx6jrjJbF7sruWqJ4RGZqnEHQgAICCeEOuTohSXeuvveP7vdNJ329neTtt4/vp4oq6W7wAWO6f8/ze74/7720ZyW0XddMz0eNxLj3kUxGLTr77BETCc+K97US570zFUl6h9y/fz82b94Mo9GI/fv3h33tli1bxmVhpCz/WVtjIaQzTZ+QGVc96qlIONnKCDPQGPCmuqXrNei3u/CvR+vxp0sdMOrUOPBMddi7XuHMmZiFQ98Fj3//9qq3hXB+WXZCjQbICBKR//l576mWXquG3enGp+dasX1lxai+9oVAEoNWLVva33++uBgOl2dU6VQZBi0+23o/dBq1zElpQzvU6XpN2K8R/0IsXGtjRoRd465+bwGiViXeKYW/aE62kr2N0KjToCwvHdc7+9HY3iu52BKGGY+MfB/Jv8VQyp2teDMxNx2nfBtFs6I8mZqUm4acdB26+x3Q+5If5SL8/28LcmdLnLEVZBRGcbb3v7e51waHyy3pztVI/32qCYMONyqLTagOMzx4PJgk3LcE/MIxShmOEc8kvYPv3bsXzzzzDIxGI/bu3RvydSqVisVWkpDSZiPFFbHY4n0tpRkknmwJr+m3u/DhKe+F59cfmzumlED/WSwjB2UPDTNOnBZCAEjTBZ5sfXrWW2z97dJy/OYPl3HF3IfG9l7MLIr+784/HEOujQqtRo2xTHaIRXHsf2cr0imT//Ph0wjDF1vCaU9uuj5hAluCyZIQIS0EZCR7GiHgvbd1vbMfjeZe3DujQNKvOX6lE0DkYmv+pBxx0G2kNMJ4JGxq5GXohyVoSqFSqTCnNBtfN3ZgRmHmqAoZqYSNoWBphKHCMQDvRoxeo4bd5UabZTDqcRlutwfvfeOdR/js4imybx4L36PCbZQMOly45LuDyJOt+Cap2Lp69WrQf6bkNRT/PbY7W0I4BmdsKU882ZJwipFh0KDDd498/d1leKJ60pj+3bNKsqBRq9DRa0ebxSbuMgJ+w4wTrNgST7Z8H9hv99lx4qr3g9kT1ZNwpqkbx+rNOHqudZTFli/2XYZwjERSnG2EWgW4PZHvTw072ZJQbIXaTBqvgcZKi3SyNehwiQVnsrcRAt57w19eaJccktHRa8OfGzsAACuqisK+Nj/TgIM/q4ZahTHPplTCFF+BUlWSNapCYt4kb7E1W+YTFuHvNlgaYajYd8A32DjbgJu3B9DSE32x9ZfLnbja0YdMgxaPxWAgsJSxDRdbrXC5PcjP0KMkO7XfJ+KdfI32lNAitdlIJVws5smW8sQ7WxJaAYXTr8piE157dPaY/91GnQYzJnjn3Pz66EVxF9Xh9uBaZz9UKmCBzG0Z403YYe13uODxePDl+Ta4Pd6WybK8dKyZU+Ittn5sxS8enBn1798+yiHSyUaYtdXcMxj5ZEtiGmGk72/jlUSotKwIQ42FFkK9Rr5W1Xgywzd+5FKbtGLrk7MtcLk9mF+Wg6kSWuMiFWTx7KF5Jbhs7sUj80dXSGy+fzpcHo+ku0xjYfRFvw+EaSMMNnga8M7aEoqtaP3+m2sAgMcXTBx1O300pLQACy2Esydm85pGnJP0FbNt2zbJv+GePXtGvRiKH8LOb/9Y2wg72EYYL+4tz0dlsQmPSUgTfPLuSfjf75ux98n549YqNr8sG/VtVhz2Db70N6s4a1SzopQ0MrVRSCFc7UuHW15VBPVh4MdmC2509mNyFHNWAKDNKl/se6KZlJeO5p5B5EYqtiTP2QqfttrZKww0TuxCN9IHNv8WwlT4sCacMDeapRVb//e9N3nu0fnRJbAmIpNRh398qGrUvz4nXY8da2aN44qCGxpqHCwgI3jsu6A0W4h/jy4ko6VnAF/45iZGM49wLMQQH1voFmCh2JrLYcZxT1Kxdfr06WE/P3XqFJxOJyoqKgAADQ0N0Gg0qK6uHv8VkiKEk42xRL/f7rOj2xfDKueFWZJmSn4Gjm69X9JrN9w3bVRxteH83fI7kJuuD3iTVKtVWDvOSW2x4J/a2GYZxNeXvO1GQtpiXoYeNdPycfxKJz77sRUv3D89qt9fCMhI9ZMtwHuf5OTVyG2EudHe2Qpxlyl52gjD39nq8BX0qdBCCADlvk0/s9WGnn4HssPcrbp5ux9117ugVgE/nVcSqyVSBEPF1vA7W263RxwzE+pkq1hIJIzyZOuDEzfg9gD3TM8bVUv4aEhpIxQCpzjMOP5JKraOHTsm/vOePXtgMpnw7rvvIjfX2/bT1dWFDRs2YMmSJfKskmJuPKLfhftapdlGSaEMlNwm5qRhx0/k3/mMFbVahTSdBgMOF46cbYHd5Ub5hAzMKBx6M14ztxjHr3Ti6GiKLSEggydbeOzOiUHHBoyk06jx1KIy352MwEQygTDUuC/UyVaytBH6Cs4+uwsutycg7KOzT0giTOw/p1Qmow7FWUa0WgbRaLaiekroe6If/eA91bq3vIDDYuOIsMllGxH9bu61we50Q63yDmkOptT3eEuP9JMtu9OND769CQB49p6po1jx6EQqtuxON+p9Q6QZjhH/oo6M2b17N3bu3CkWWgCQm5uL119/Hbt37x7XxZFyxOh3+1iKraHYd6JkJAw2FlIb18wZvgO+sspbHNRd70JblMM0xZMtzqfD/XdMwOcvLw374Viwc908/MeGReEHdwtJXyHTCIU2wsQuQkx+97CCzRQbaiNMna8x/+HG4XzkayF8JAVaCBOJcGdr5MmWcF+rNCctZBpiyShOtj4/3wqz1YYJJgNWzo7dnbxILcANbVY4XB5kp+nCbixRfIi62LJYLDCbzQGPm81mWK3WcVkUKW885mxd9sXZlfO+FiWpdN8JsLCxMPLkpTjbiLsm5wAAPvfd6ZLKP/qdxpf0NMLE/rvXadTih9Ngg43NKdZGCEgrti62WlDfZoVeo8aqCKepFFtCG+HIgIxI97UAiIl9zd3Si63fH/fGvT+1aLKskfYjDUW/B28BFudrTRxdeiTFVtRfOWvXrsWGDRtw+PBhNDU1oampCR9++CE2btyIdevWybFGUsDQnK3R39niyRYlu3Td0MnBxJy0oLHHa3wf1o5GUWzZnC50+e47pnr0uxwiztlKkjZCYGiHPFixJfw5U6WNEBgqti6FKbaEYIxllRMSLrgn2Rl90e8utwcO19DpVqQkQmCo2OrwtRxG0tBmxYmrt6FRq/DUorKxLDtqkdoIz4rFFlsIE0HUF2kOHjyI7du34+mnn4bD4f3mrdVqsXHjRuzatWvcF0jKEGYISY1+b7MMioNABQ1t3pNOJhFSshJOtgDvqVawHcZVs4vxq08u4psrt9HVZ4+YqAcMnTjoNeqEHJAa7zKNEYot3/eyRG8jBLzx72arLeiHNiEgI9ohtoks0smWx+MRWwgfjcE8JYqOQTd0RrBizx+h9n3PNftaf8vyQrfU5WXoodeqYXd6BxsHm8cl8Hg82PnJBQDA8lmFYgtirAibJKG+R51rtgBgOEaiiLrYSk9Px4EDB7Br1y5cvnwZAFBeXo6MDH6gTiZi9HuEO1sejwf7axuxr7YBHk/w1/Bki5JVhl/wS6jwhin5GZhVkoULLRZ8caENT94deYe03e9DMFtExl+m77+b3emG3ekWZ9ABgMPlRo9vLlWipxEC4e9+dCRJxH00ZvqKrVvdAxiwu8R5eYJTN7pwq3sAmQYt/qqyUIklUhgGrRpled55Wdc6+wOeXzA59LxGlUqFkmwjrnf2o7l7IGyx9d6JGzhWb4Zeq8a2FRXjsvZohEsSdbjcuNDiK7Z4spUQRh0Rl5GRgXnz5o3nWiiODN3ZCt1GOOhwYft//YCPz7QA8H0wHPGae6bni7MtiJKN8EFtgsmA6jBv8qtnF+NCiwWfnWuVVmwx9l1WGX4nkn02J/TaoaKqq997qqVWeWcHJTpTmMHGYhuhKfH/nFLlZxqQm65DV78Dl829AR9WhRbCVbOLx23GII0flUqFj3+xREzi85eXoRdPLkMRiq3WMIFFje29+OWR8wCAV1ZXoqI4NnHv/vzbCD0ez7BNt8b2XtidbpgMWkwJUzBS/GAeNwUl7NjbXYE7v4C3bfCF332HM0090KpV+OXaOVi/cLISSyVSjMm3KbGyqihs+t2aucXY+2UD/nSpA+3WwYhx7mYx9p3Flhy0vuCIQYcbvTbnsNZOoYUwN10fEJWeiLLEk63hxZbT5RYLy1RKIwS8rYTfXutCY/vwYsvhcuOIb/PwUQnD30kZ2Wk6LJoWOZk0GKEdMFRIht3pxtZDpzHocGPJzAI8f+/U0S5zTIQTaafbA5vTPazwF8Ixqkqzwr7vUPyIXbQKJZSRO7/+zjR145E3vsaZph7kpuvw3qYaFlqUkn62eApWzy7Gz5fNCPu6mYWZuGtyDuwuNw4cuxzx920TY995KiyXTEPwOxHJMtBYEOqi/e0+Ozwe7wlebhKc4EUj1L2tPzd2oLPPjoJMPe4tz1diaSQzISQj1Kytf69twLlbFuSk6/Bvfz1fsWImXaeBcJg1MtxGKLbmsoUwYfBki4LSatQwaNWwOd149u0TwyJPzzdbYHO6MbMwE289txCT83mMTalpweRcHHy2OuLrVCoVtq+swDO/PYH3T1zHpiXTMClMRHE7T7Zkl2nQoKM3cDMpmZIIgaHBxiNnigkztvIykuMELxrC4PGvLraLYSkAUHuhDQDw0NwSaGMY802xM1RsBZ5snbx6Gwf+4N0M+9XauShScJi1Wq1CpkEL66AT1kEnCv06GcVwDBZbCYPFFoU0rSADF1utOHfLEvDcsooJ2P/UXeJRNxGFd9+MAiyeno/jVzqxv/YSfv3E/JCvFQIylHyzT3bCh+yRRUhnkoVGmELM6xHCMVKthRAAKn13cM63WHC+JfD97RGmECatocHGw0+2LIMOvHzoe3g8wOMLJuEnc0uC/fKYyjLqxGJL4HJ7cF4stgJHjVB8YrFFIb23qQanb3QHPG4yarFwal7K7YYSjdX2VRV4/Dd/wYenbuHFpeUoD5HUKbQRTmBAhmyGZgmmRhuhZWDkyZYw0Dg5/pzRWDw9H1uXz0RTV2ArWWWxCQt8g8gp+ZTkeDewzt2yYM4/fSY+7nC5YXO6MSk3Df/8SJVSyxtGSIXusNrE71NXzH0YcLiQrtdgWgGTnhMFiy0KqSDTgBVVRUovgyhpVE/JxYOVhai92I69XzTgjacXBH0dAzLkJw42HkzuNsJQQ42FIJBUPNlSq1XYuvwOpZdBCphekIlCkwHtVlvAfU29Ro196++Mm44dYaNk0+++C3iuqiSLG94JhMUWEVEM/f3KCtRebMfHZ1rw8wcsqCod3gricLnFD/xsI5RPqMHGQ22EyVFsiXe2BoOfbKVisUWpK02vwR//YRnagkS/Z6fpJA2dj5VllYWou9EVMMNUrWJaZqJhsUVEFENVpVn46bwSfHymBXu+qMdvn1s47PmOXhs8HkCrViEvxVLiYkmYJRg6jTA5ipBQw1HNKdxGSKktTa/B1IIMpZcR0UvLZmDTkmlBii1VwDgeim8stoiIYuzlFXfgk7Mt+PJCO07d6MICv4HIwkDjgkwDZ6jIyGQIfmcr+doIffc+eu346Idm8XFhKCxPtojil0HLwdrJIKVK4zfffBNTp06F0WhETU0NTp48qfSSiCgFlU/IxBPVkwAAu47W41b3gPhD+BBcxHAMWYU62RLuMiVLG2GO73S0Z8CBLR+cFn/86Es0471AIiJ5pczJ1qFDh7Bt2zYcPHgQNTU12LdvH1atWoX6+noUFhYqvTwiSjFbHpyJ/zl9C8evdOK+f/kq4PkJHGgsKyEg4/jlTuw4fFZ8vGfA226XLGmEE3PS8DdLy3GmqTvgudKcNCzm8F4iIlmlTLG1Z88evPDCC9iwYQMA4ODBgzhy5AjefvttvPLKKwqvjohSzaTcdGxdfgfe+KoRrhFN+QaNGg/PV37OSzITwkeudfbjWueNYc9lGrTiiVAyeGVNpdJLICJKWSlRbNntdtTV1WHHjh3iY2q1GsuXL8fx48cDXm+z2WCz2cSfWyyBQw+JiMbqpWUz8NKyGUovIyWtqCrCr9bOFdMH/d1Tns9YZSIiGhcpUWx1dHTA5XKhqGj4zKiioiJcvHgx4PU7d+7Ea6+9FqvlERFRjOm1ajxdM1npZRARUZJLqYAMqXbs2IGenh7xx82bN5VeEhERERERJZiUONkqKCiARqNBW1vbsMfb2tpQXFwc8HqDwQCDgQlNREREREQ0eilxsqXX61FdXY3a2lrxMbfbjdraWixevFjBlRERERERUbJKiZMtANi2bRuee+453H333Vi0aBH27duHvr4+MZ2QiIiIiIhoPKVMsbV+/XqYzWa8+uqraG1txZ133omjR48GhGYQERERERGNB5XHM2LACwWwWCzIzs5GT08PsrKylF4OEREREREpJJraICXubBEREREREcUaiy0iIiIiIiIZsNgiIiIiIiKSAYstIiIiIiIiGaRMGuFYCBkiFotF4ZUQEREREZGShJpASs4giy0JrFYrAKCsrEzhlRARERERUTywWq3Izs4O+xpGv0vgdrvR3NwMk8kElUql9HKIiIiIiEghHo8HVqsVpaWlUKvD38pisUVERERERCQDBmQQERERERHJgMUWERERERGRDFhsERERERERyYDFFhERERERkQxYbBEREYXwwAMPYOvWrSGfnzp1Kvbt2xez9RARUWLhnC0iIqIQDh8+DJ1Op/QyiIgoQbHYIiIiCiEvL0/pJRARUQJjGyEREVEI/m2E7e3tePjhh5GWloZp06bh/fffV3ZxREQU93iyRUREJMHzzz+P5uZmHDt2DDqdDlu2bEF7e7vSyyIiojjGYouIiCiChoYGfPrppzh58iQWLlwIAHjrrbcwa9YshVdGRETxjG2EREREEVy4cAFarRbV1dXiY5WVlcjJyVFuUUREFPdYbBEREREREcmAxRYREVEElZWVcDqdqKurEx+rr69Hd3e3cosiIqK4x2KLiIgogoqKCqxevRovvvgiTpw4gbq6OmzatAlpaWlKL42IiOIYiy0iIiIJ3nnnHZSWlmLp0qVYt24dNm/ejMLCQqWXRUREcUzl8Xg8Si+CiIiIiIgo2fBki4iIiIiISAYstoiIiIiIiGTAYouIiIiIiEgGLLaIiIiIiIhkwGKLiIiIiIhIBiy2iIiIiIiIZMBii4iIiIiISAYstoiIiIiIiGTAYouIiIiIiEgGLLaIiIiIiIhkwGKLiIiIiIhIBv8PARBVL/PkKl4AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "closest_neigbors.isel(n_closest=1).distance.plot(figsize=(10, 4))\n",
    "plt.xticks([])\n",
    "plt.ylabel(\"distance to closest station in meters\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15a698bf-a895-4807-bac2-4060f015a7a2",
   "metadata": {},
   "source": [
    "#### Get IDs of closest points"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "248c605b-f8c0-46b1-a742-f4dccd458c78",
   "metadata": {},
   "source": [
    "We can also get the station IDs of the closest neighbors. Note that they are different for each target station ID and they are sorted by ascending distance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "aca2d717-bceb-4cb5-83c0-184984eaf6d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;neighbor_id&#x27; (n_closest: 22)&gt; Size: 176B\n",
       "array([&#x27;ams63&#x27;, &#x27;ams61&#x27;, &#x27;ams70&#x27;, &#x27;ams58&#x27;, &#x27;ams71&#x27;, &#x27;ams74&#x27;, &#x27;ams51&#x27;,\n",
       "       &#x27;ams54&#x27;, &#x27;ams83&#x27;, &#x27;ams67&#x27;, &#x27;ams55&#x27;, &#x27;ams60&#x27;, &#x27;ams84&#x27;, &#x27;ams69&#x27;,\n",
       "       &#x27;ams80&#x27;, &#x27;ams94&#x27;, &#x27;ams78&#x27;, &#x27;ams62&#x27;, &#x27;ams96&#x27;, &#x27;ams97&#x27;, &#x27;ams42&#x27;,\n",
       "       &#x27;ams41&#x27;], dtype=object)\n",
       "Coordinates:\n",
       "    id       &lt;U6 24B &#x27;ams63&#x27;\n",
       "Dimensions without coordinates: n_closest</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'neighbor_id'</div><ul class='xr-dim-list'><li><span>n_closest</span>: 22</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-baae2c90-28c7-48d3-b0a3-8bb75502d292' class='xr-array-in' type='checkbox' checked><label for='section-baae2c90-28c7-48d3-b0a3-8bb75502d292' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>&#x27;ams63&#x27; &#x27;ams61&#x27; &#x27;ams70&#x27; &#x27;ams58&#x27; ... &#x27;ams96&#x27; &#x27;ams97&#x27; &#x27;ams42&#x27; &#x27;ams41&#x27;</span></div><div class='xr-array-data'><pre>array([&#x27;ams63&#x27;, &#x27;ams61&#x27;, &#x27;ams70&#x27;, &#x27;ams58&#x27;, &#x27;ams71&#x27;, &#x27;ams74&#x27;, &#x27;ams51&#x27;,\n",
       "       &#x27;ams54&#x27;, &#x27;ams83&#x27;, &#x27;ams67&#x27;, &#x27;ams55&#x27;, &#x27;ams60&#x27;, &#x27;ams84&#x27;, &#x27;ams69&#x27;,\n",
       "       &#x27;ams80&#x27;, &#x27;ams94&#x27;, &#x27;ams78&#x27;, &#x27;ams62&#x27;, &#x27;ams96&#x27;, &#x27;ams97&#x27;, &#x27;ams42&#x27;,\n",
       "       &#x27;ams41&#x27;], dtype=object)</pre></div></div></li><li class='xr-section-item'><input id='section-26f24726-c13a-43b8-a271-70d2c21104d9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-26f24726-c13a-43b8-a271-70d2c21104d9' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>id</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U6</div><div class='xr-var-preview xr-preview'>&#x27;ams63&#x27;</div><input id='attrs-958ea001-3fd2-4442-a5a1-eba0674d0efd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-958ea001-3fd2-4442-a5a1-eba0674d0efd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-846eb583-3012-4c1d-b45b-dc0c9c546f42' class='xr-var-data-in' type='checkbox'><label for='data-846eb583-3012-4c1d-b45b-dc0c9c546f42' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;ams63&#x27;, dtype=&#x27;&lt;U6&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-25333b08-bcb2-4079-a5a8-2a2d8b2fa1f1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-25333b08-bcb2-4079-a5a8-2a2d8b2fa1f1' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-78b7135a-9cab-45fc-8b37-687cd33185bf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-78b7135a-9cab-45fc-8b37-687cd33185bf' 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.DataArray 'neighbor_id' (n_closest: 22)> Size: 176B\n",
       "array(['ams63', 'ams61', 'ams70', 'ams58', 'ams71', 'ams74', 'ams51',\n",
       "       'ams54', 'ams83', 'ams67', 'ams55', 'ams60', 'ams84', 'ams69',\n",
       "       'ams80', 'ams94', 'ams78', 'ams62', 'ams96', 'ams97', 'ams42',\n",
       "       'ams41'], dtype=object)\n",
       "Coordinates:\n",
       "    id       <U6 24B 'ams63'\n",
       "Dimensions without coordinates: n_closest"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pws_id = \"ams63\"\n",
    "\n",
    "neighbor_ids = closest_neigbors.sel(id=pws_id).neighbor_id.dropna(dim=\"n_closest\")\n",
    "neighbor_ids"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "badcd997-4b4c-4326-b9b8-0e588dd1ccf6",
   "metadata": {},
   "source": [
    "These should be the same neighboring station IDs as derive from the distance matrix above, since we have chosen the same ID as target station. This is, however, only true if `n_closets` does not cut off the list for `get_closest_points_to_point()`. For the chosen values in this example the two sets of neighboring IDs should be the same. Let's check that."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "7cdc8509-13b8-449a-bd90-ccffeaec10db",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set(selected_neighbor_ids) == set(neighbor_ids.data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29066302-5191-440a-9893-c885a4257aa8",
   "metadata": {},
   "source": [
    "#### Plot stations and mark closest neighbors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "0e611962-55b9-4bf8-8e44-8dc24f35b310",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.set_aspect(\"equal\")\n",
    "\n",
    "ax.scatter(ds_pws.x, ds_pws.y, c=\"C1\", s=30)\n",
    "\n",
    "neighbor_ids = closest_neigbors.sel(id=pws_id).neighbor_id.dropna(dim=\"n_closest\")\n",
    "ds_pws_neighbors = ds_pws.sel(id=neighbor_ids)\n",
    "ax.scatter(ds_pws_neighbors.x, ds_pws_neighbors.y, c=\"C0\", s=30)\n",
    "\n",
    "ax.scatter(\n",
    "    ds_pws.sel(id=pws_id).x, ds_pws.sel(id=pws_id).y, color=\"r\", s=30, marker=\"x\"\n",
    ")\n",
    "\n",
    "# Plot a circel with max_distance to see if the selections fits\n",
    "an = np.linspace(0, 2 * np.pi, 100)\n",
    "ax.plot(\n",
    "    ds_pws.x.sel(id=pws_id).data + max_distance * np.cos(an),\n",
    "    ds_pws.y.sel(id=pws_id).data + max_distance * np.sin(an),\n",
    "    color=\"k\",\n",
    "    linestyle=\"--\",\n",
    "    linewidth=0.5,\n",
    ")\n",
    "plt.title(\"\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "afe12088-441b-4190-8663-c87e6116040c",
   "metadata": {},
   "source": [
    "Note that not all stations within the circle will be marked in case that `n_closest` cuts off the list of nearby stations."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38133013-8cea-427c-9e16-c67a3d20345e",
   "metadata": {},
   "source": [
    "## Line-to-points distances\n",
    "This example shows how to use plg.spatial.get_closest_points_to_line to find points close to CMLs. We use CMLs from the OpenMerge dataset. The full dataset contains raingauges, but they where not unzippet and thus not readily available. We instead modify some of the CMLs so they look like raingauges by using the CML midpoints."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "daf3434d-6e12-4963-8cfb-b813428d9f5a",
   "metadata": {},
   "source": [
    "### Download CML data from training school example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "3000655b-6f30-4c55-bda8-b1968d93d759",
   "metadata": {},
   "outputs": [],
   "source": [
    "!curl -OL https://github.com/OpenSenseAction/training_school_opensene_2023/raw/main/data/cml/openMRG_example.nc"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39e844f0-6d41-444d-ac3a-25f00eb480db",
   "metadata": {},
   "source": [
    "### Remove unnecessary data and turn some CMLs into points"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "910eea67-f29e-451a-ac25-00224766350c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load downloaded CML data\n",
    "ds_cmls = xr.open_dataset(\"./openMRG_example.nc\")\n",
    "\n",
    "# We only need metadata, so we drop tsl and rsl here\n",
    "ds_cmls = ds_cmls.drop_vars([\"tsl\", \"rsl\"]).drop_dims(\"time\")\n",
    "\n",
    "# Select some cmls, these are used as rain gauges\n",
    "gauges_ind = np.arange(0, ds_cmls.cml_id.size, 20)\n",
    "\n",
    "\n",
    "# Get cml indices that is not rain gauges\n",
    "cml_ind = np.arange(0, ds_cmls.cml_id.size)\n",
    "cml_ind = cml_ind[~np.isin(cml_ind, gauges_ind)]\n",
    "\n",
    "# Update both datasets with new non-overlapping indices\n",
    "ds_gauges = ds_cmls.isel(cml_id=gauges_ind)\n",
    "ds_cmls = ds_cmls.isel(cml_id=cml_ind)\n",
    "\n",
    "# Restructure ds_gauges so it has PWS standard names:\n",
    "ds_gauges = ds_gauges.drop_dims(\"sublink_id\").rename({\"cml_id\": \"id\"})\n",
    "\n",
    "# Use midpoint as gauge point\n",
    "ds_gauges.coords[\"lat\"] = (ds_gauges.site_0_lat + ds_gauges.site_1_lat) / 2\n",
    "ds_gauges.coords[\"lon\"] = (ds_gauges.site_0_lon + ds_gauges.site_1_lon) / 2\n",
    "ds_gauges = ds_gauges.drop_vars(\n",
    "    [\n",
    "        \"site_0_lat\",\n",
    "        \"site_1_lat\",\n",
    "        \"site_0_lon\",\n",
    "        \"site_1_lon\",\n",
    "    ]\n",
    ")\n",
    "\n",
    "# Reformat ids to str, a more common format\n",
    "ds_gauges.coords[\"id\"] = ds_gauges.id.astype(str)\n",
    "ds_cmls.coords[\"cml_id\"] = ds_cmls.cml_id.astype(str)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d2eac80-8521-4d2a-ae73-856f0f35851d",
   "metadata": {},
   "source": [
    "### Project cooridnates from lon-lat to UTM zone for Europe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "0346a3dc-2bb9-4c7e-bbc7-662748d30394",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Project coordinates for rain gauges\n",
    "ds_gauges.coords[\"x\"], ds_gauges.coords[\"y\"] = plg.spatial.project_point_coordinates(\n",
    "    ds_gauges.lon, ds_gauges.lat, \"EPSG:25832\"\n",
    ")\n",
    "\n",
    "# Project coordinates for CMLs\n",
    "(\n",
    "    ds_cmls.coords[\"site_0_x\"],\n",
    "    ds_cmls.coords[\"site_0_y\"],\n",
    ") = plg.spatial.project_point_coordinates(\n",
    "    ds_cmls.site_0_lon, ds_cmls.site_0_lat, \"EPSG:25832\"\n",
    ")\n",
    "(\n",
    "    ds_cmls.coords[\"site_1_x\"],\n",
    "    ds_cmls.coords[\"site_1_y\"],\n",
    ") = plg.spatial.project_point_coordinates(\n",
    "    ds_cmls.site_1_lon, ds_cmls.site_1_lat, \"EPSG:25832\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8353fefa-45c7-4b05-b73d-fd842f34850d",
   "metadata": {},
   "source": [
    "### Nearest neighbor lookup\n",
    "Uses KDTree for fast neighbour lookup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "628511e3-f55a-4528-a927-b94f44efb6cf",
   "metadata": {},
   "outputs": [],
   "source": [
    "max_distance = 20000  # in meters due to the projection EPSG:25832\n",
    "closest_neigbors = plg.spatial.get_closest_points_to_line(\n",
    "    ds_cmls, ds_gauges, max_distance=max_distance, n_closest=25\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "0cd9b357-f160-4302-a1c6-db7e1f450b8a",
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       ".xr-var-data,\n",
       ".xr-index-name div,\n",
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       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 167kB\n",
       "Dimensions:      (cml_id: 345, n_closest: 25)\n",
       "Coordinates:\n",
       "  * cml_id       (cml_id) &lt;U21 29kB &#x27;10002&#x27; &#x27;10003&#x27; &#x27;10004&#x27; ... &#x27;10363&#x27; &#x27;10364&#x27;\n",
       "Dimensions without coordinates: n_closest\n",
       "Data variables:\n",
       "    distance     (cml_id, n_closest) float64 69kB 2.745e+03 3.167e+03 ... inf\n",
       "    neighbor_id  (cml_id, n_closest) object 69kB &#x27;10001&#x27; &#x27;10041&#x27; ... None None</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-a8016537-60f7-4569-9b84-5d1ad81ba21b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a8016537-60f7-4569-9b84-5d1ad81ba21b' 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'>cml_id</span>: 345</li><li><span>n_closest</span>: 25</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7645a60f-dd4e-4e81-ab3e-a3ff206b6fe2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7645a60f-dd4e-4e81-ab3e-a3ff206b6fe2' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>cml_id</span></div><div class='xr-var-dims'>(cml_id)</div><div class='xr-var-dtype'>&lt;U21</div><div class='xr-var-preview xr-preview'>&#x27;10002&#x27; &#x27;10003&#x27; ... &#x27;10363&#x27; &#x27;10364&#x27;</div><input id='attrs-9d226218-bbda-4fd4-a200-05bd737a0146' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9d226218-bbda-4fd4-a200-05bd737a0146' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ef38446-09f1-4978-b86a-c8c228b6e6b0' class='xr-var-data-in' type='checkbox'><label for='data-8ef38446-09f1-4978-b86a-c8c228b6e6b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;10002&#x27;, &#x27;10003&#x27;, &#x27;10004&#x27;, ..., &#x27;10362&#x27;, &#x27;10363&#x27;, &#x27;10364&#x27;], dtype=&#x27;&lt;U21&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f122c798-91c6-4fbf-8eb5-e7bd68d25cc6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f122c798-91c6-4fbf-8eb5-e7bd68d25cc6' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>distance</span></div><div class='xr-var-dims'>(cml_id, n_closest)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.745e+03 3.167e+03 ... inf inf</div><input id='attrs-3a9333bc-d62e-4e71-8f98-e8466c6383e1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3a9333bc-d62e-4e71-8f98-e8466c6383e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ee6daac-054e-4f2f-a084-c95e3e1127a3' class='xr-var-data-in' type='checkbox'><label for='data-5ee6daac-054e-4f2f-a084-c95e3e1127a3' 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([[2744.71306254, 3167.04780553, 3731.5024378 , ...,           inf,\n",
       "                  inf,           inf],\n",
       "       [1101.30888837, 1586.76896133, 1977.29829781, ...,           inf,\n",
       "                  inf,           inf],\n",
       "       [1093.30814684, 2589.70165982, 2958.69626848, ...,           inf,\n",
       "                  inf,           inf],\n",
       "       ...,\n",
       "       [5682.45272868, 7310.0295522 , 8323.18775095, ...,           inf,\n",
       "                  inf,           inf],\n",
       "       [2727.09750636, 3343.33642005, 3747.02096526, ...,           inf,\n",
       "                  inf,           inf],\n",
       "       [1103.61345352, 1305.02961691, 3524.72637275, ...,           inf,\n",
       "                  inf,           inf]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>neighbor_id</span></div><div class='xr-var-dims'>(cml_id, n_closest)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;10001&#x27; &#x27;10041&#x27; ... None None</div><input id='attrs-381b7514-758f-49d0-87a9-628d00a72e4a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-381b7514-758f-49d0-87a9-628d00a72e4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49bbc119-1661-47c9-97fc-35e307b77274' class='xr-var-data-in' type='checkbox'><label for='data-49bbc119-1661-47c9-97fc-35e307b77274' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[&#x27;10001&#x27;, &#x27;10041&#x27;, &#x27;10221&#x27;, ..., None, None, None],\n",
       "       [&#x27;10001&#x27;, &#x27;10101&#x27;, &#x27;10181&#x27;, ..., None, None, None],\n",
       "       [&#x27;10001&#x27;, &#x27;10101&#x27;, &#x27;10181&#x27;, ..., None, None, None],\n",
       "       ...,\n",
       "       [&#x27;10141&#x27;, &#x27;10361&#x27;, &#x27;10181&#x27;, ..., None, None, None],\n",
       "       [&#x27;10361&#x27;, &#x27;10181&#x27;, &#x27;10101&#x27;, ..., None, None, None],\n",
       "       [&#x27;10001&#x27;, &#x27;10041&#x27;, &#x27;10101&#x27;, ..., None, None, None]], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b013e21c-ab85-4568-89a4-619064b55712' class='xr-section-summary-in' type='checkbox'  ><label for='section-b013e21c-ab85-4568-89a4-619064b55712' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>cml_id</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b6856c0d-9994-4c6e-bac2-1a53e4f049bb' class='xr-index-data-in' type='checkbox'/><label for='index-b6856c0d-9994-4c6e-bac2-1a53e4f049bb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;10002&#x27;, &#x27;10003&#x27;, &#x27;10004&#x27;, &#x27;10005&#x27;, &#x27;10006&#x27;, &#x27;10007&#x27;, &#x27;10008&#x27;, &#x27;10009&#x27;,\n",
       "       &#x27;10010&#x27;, &#x27;10011&#x27;,\n",
       "       ...\n",
       "       &#x27;10354&#x27;, &#x27;10355&#x27;, &#x27;10356&#x27;, &#x27;10357&#x27;, &#x27;10358&#x27;, &#x27;10359&#x27;, &#x27;10360&#x27;, &#x27;10362&#x27;,\n",
       "       &#x27;10363&#x27;, &#x27;10364&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;cml_id&#x27;, length=345))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7e13e2cc-61b3-4316-96c6-10e874032a47' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7e13e2cc-61b3-4316-96c6-10e874032a47' 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> Size: 167kB\n",
       "Dimensions:      (cml_id: 345, n_closest: 25)\n",
       "Coordinates:\n",
       "  * cml_id       (cml_id) <U21 29kB '10002' '10003' '10004' ... '10363' '10364'\n",
       "Dimensions without coordinates: n_closest\n",
       "Data variables:\n",
       "    distance     (cml_id, n_closest) float64 69kB 2.745e+03 3.167e+03 ... inf\n",
       "    neighbor_id  (cml_id, n_closest) object 69kB '10001' '10041' ... None None"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "closest_neigbors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "2c74fcb2-1e30-4a0a-b3f1-f265f422656b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x1359292a0>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "closest_neigbors.isel(cml_id=slice(50, 70)).distance.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08ffb8bc-ce33-48c3-abaf-2062f1d73645",
   "metadata": {},
   "source": [
    "We can get the nearest neighbour by selecting the first element in n_closest. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "7caf5e8d-4ffd-4623-85ac-31aff7cf1340",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "closest_neigbors.isel(n_closest=0).distance.plot(figsize=(10, 4))\n",
    "plt.xticks([])\n",
    "plt.ylabel(\"distance to closest station in meters\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dd04d2fb-6a00-43a6-82d0-acc0c9e4dfec",
   "metadata": {},
   "source": [
    "We can also get the IDs of the closest gauges of a CML"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "4ce65795-38b6-41b3-ab7b-601a3d413293",
   "metadata": {},
   "outputs": [
    {
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       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;neighbor_id&#x27; (n_closest: 13)&gt; Size: 104B\n",
       "array([&#x27;10001&#x27;, &#x27;10041&#x27;, &#x27;10221&#x27;, &#x27;10081&#x27;, &#x27;10101&#x27;, &#x27;10021&#x27;, &#x27;10181&#x27;,\n",
       "       &#x27;10361&#x27;, &#x27;10121&#x27;, &#x27;10061&#x27;, &#x27;10141&#x27;, &#x27;10341&#x27;, &#x27;10161&#x27;], dtype=object)\n",
       "Coordinates:\n",
       "    cml_id   &lt;U21 84B &#x27;10002&#x27;\n",
       "Dimensions without coordinates: n_closest</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'neighbor_id'</div><ul class='xr-dim-list'><li><span>n_closest</span>: 13</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b5d8e64d-328b-4979-a40a-0fc442b4d369' class='xr-array-in' type='checkbox' checked><label for='section-b5d8e64d-328b-4979-a40a-0fc442b4d369' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>&#x27;10001&#x27; &#x27;10041&#x27; &#x27;10221&#x27; &#x27;10081&#x27; ... &#x27;10061&#x27; &#x27;10141&#x27; &#x27;10341&#x27; &#x27;10161&#x27;</span></div><div class='xr-array-data'><pre>array([&#x27;10001&#x27;, &#x27;10041&#x27;, &#x27;10221&#x27;, &#x27;10081&#x27;, &#x27;10101&#x27;, &#x27;10021&#x27;, &#x27;10181&#x27;,\n",
       "       &#x27;10361&#x27;, &#x27;10121&#x27;, &#x27;10061&#x27;, &#x27;10141&#x27;, &#x27;10341&#x27;, &#x27;10161&#x27;], dtype=object)</pre></div></div></li><li class='xr-section-item'><input id='section-8a7747c9-d825-42c3-8d4f-27b9ecccb8d2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8a7747c9-d825-42c3-8d4f-27b9ecccb8d2' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>cml_id</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U21</div><div class='xr-var-preview xr-preview'>&#x27;10002&#x27;</div><input id='attrs-15e2eb53-e1ce-40e6-afa0-b5426c447378' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-15e2eb53-e1ce-40e6-afa0-b5426c447378' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c0abcc5-699e-423a-876d-722f39dcdf8f' class='xr-var-data-in' type='checkbox'><label for='data-6c0abcc5-699e-423a-876d-722f39dcdf8f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;10002&#x27;, dtype=&#x27;&lt;U21&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ac1b6642-ed3f-431b-9755-86501a28de93' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ac1b6642-ed3f-431b-9755-86501a28de93' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-514f2d72-ef4d-4d98-a39e-b8ffe5584e85' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-514f2d72-ef4d-4d98-a39e-b8ffe5584e85' 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.DataArray 'neighbor_id' (n_closest: 13)> Size: 104B\n",
       "array(['10001', '10041', '10221', '10081', '10101', '10021', '10181',\n",
       "       '10361', '10121', '10061', '10141', '10341', '10161'], dtype=object)\n",
       "Coordinates:\n",
       "    cml_id   <U21 84B '10002'\n",
       "Dimensions without coordinates: n_closest"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gauge_id = \"10002\"\n",
    "neighbor_ids = closest_neigbors.sel(cml_id=gauge_id).neighbor_id.dropna(dim=\"n_closest\")\n",
    "neighbor_ids"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d26740f2-eb73-4664-8075-0a83f806a7a7",
   "metadata": {},
   "source": [
    "#### Plot CMLs that are close to rain gauges"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "8fdd36ea-d82c-470f-a271-1239e2c3dfa9",
   "metadata": {},
   "outputs": [],
   "source": [
    "gauge_ids = [13, 16]  # [13, 16] # Select only 2 rain gauges\n",
    "max_distance = 5500  # Distance in meters\n",
    "closest_neigbors = plg.spatial.get_closest_points_to_line(\n",
    "    ds_cmls, ds_gauges.isel(id=gauge_ids), max_distance=max_distance, n_closest=1\n",
    ").isel(n_closest=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "b10d4b58-e8a7-42c9-90ac-3553f261450b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.set_aspect(\"equal\")\n",
    "\n",
    "# Plot all CMLs\n",
    "for cml_id in ds_cmls.cml_id:\n",
    "    plt.plot(\n",
    "        [ds_cmls.sel(cml_id=cml_id).site_0_x, ds_cmls.sel(cml_id=cml_id).site_1_x],\n",
    "        [ds_cmls.sel(cml_id=cml_id).site_0_y, ds_cmls.sel(cml_id=cml_id).site_1_y],\n",
    "        \"C0\",\n",
    "    )\n",
    "\n",
    "# Plot CMLs close to selected gauges\n",
    "nearby_cml_id = closest_neigbors.neighbor_id.dropna(dim=\"cml_id\").cml_id\n",
    "for cml_id in nearby_cml_id:\n",
    "    plt.plot(\n",
    "        [ds_cmls.sel(cml_id=cml_id).site_0_x, ds_cmls.sel(cml_id=cml_id).site_1_x],\n",
    "        [ds_cmls.sel(cml_id=cml_id).site_0_y, ds_cmls.sel(cml_id=cml_id).site_1_y],\n",
    "        \"C1\",\n",
    "    )\n",
    "\n",
    "# Plot selected rain gauges\n",
    "ax.scatter(ds_gauges.isel(id=gauge_ids).x, ds_gauges.isel(id=gauge_ids).y, c=\"C2\", s=30)\n",
    "\n",
    "# Plot a circel with max_distance to see if the selections fits\n",
    "an = np.linspace(0, 2 * np.pi, 100)\n",
    "for gauge_id in gauge_ids:\n",
    "    ax.plot(\n",
    "        ds_gauges.x.isel(id=gauge_id).data + max_distance * np.cos(an),\n",
    "        ds_gauges.y.isel(id=gauge_id).data + max_distance * np.sin(an),\n",
    "        color=\"k\",\n",
    "        linestyle=\"--\",\n",
    "        linewidth=0.5,\n",
    "    )\n",
    "    plt.title(\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8a55b716",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
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