calculate_waviness_metrics.ipynb

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    "# Example usage: upper-air waviness metrics\n",
    "Entire notebook takes 4 seconds to run on Intel i7-10750\n",
    "## Index\n",
    "[Francis & Vavrus 2015](#Francis-&-Vavrus-2015)  \n",
    "[Cattiaux et al. 2016](#Cattiaux-et-al.-2016)  \n",
    "\n",
    "preprint describing the package: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-661/"
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      "xarray version: 2023.3.0\n",
      "jsmetrics version: 0.1.6\n"
     ]
    }
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   "source": [
    "## For calculation of jet latitude and speed statistics\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import jsmetrics\n",
    "print(\"xarray version:\", xr.__version__) ## tested on 0.1.3\n",
    "print(\"jsmetrics version:\", jsmetrics.__version__) ## tested on 2023.3.0\n",
    "\n",
    "## For plotting\n",
    "import matplotlib.pyplot as plt"
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   "cell_type": "markdown",
   "id": "7a88673e-8308-458d-825b-16b3f05e8d4f",
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   "source": [
    "## load in and format ERA5 data"
   ]
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    "ua = xr.open_dataset('data/era5_u_wind_JF21.nc')\n",
    "va = xr.open_dataset('data/era5_v_wind_JF21.nc')\n",
    "zg = xr.open_dataset('data/era5_zg_wind_JF21.nc')\n"
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   "source": [
    "## this is necessary because jsmetrics currently only accept standardised names as input. This may change in the future\n",
    "ua = ua.rename({'longitude':'lon', 'latitude':'lat', 'level':'plev', 'u':'ua'})\n",
    "va = va.rename({'longitude':'lon', 'latitude':'lat', 'level':'plev', 'v':'va'})\n",
    "zg = zg.rename({'longitude':'lon', 'latitude':'lat', 'level':'plev'})\n"
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   "execution_count": 4,
   "id": "3d82d5c8-f4a6-4b1a-a52b-7cb79fd5d907",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (lon: 360, lat: 91, plev: 6, time: 59)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 0.0 1.0 2.0 3.0 4.0 ... 355.0 356.0 357.0 358.0 359.0\n",
       "  * lat      (lat) float32 90.0 89.0 88.0 87.0 86.0 85.0 ... 4.0 3.0 2.0 1.0 0.0\n",
       "  * plev     (plev) int32 100 250 300 500 700 850\n",
       "  * time     (time) datetime64[ns] 2021-01-01 2021-01-02 ... 2021-02-28\n",
       "Data variables:\n",
       "    va       (time, plev, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    Conventions:  CF-1.6\n",
       "    history:      2022-02-25 11:57:36 GMT by grib_to_netcdf-2.24.2: /opt/ecmw...</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-e78695c2-6a0b-415c-a920-ed5f409a5d89' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e78695c2-6a0b-415c-a920-ed5f409a5d89' 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'>lon</span>: 360</li><li><span class='xr-has-index'>lat</span>: 91</li><li><span class='xr-has-index'>plev</span>: 6</li><li><span class='xr-has-index'>time</span>: 59</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4a88cd3b-96a3-42eb-ad1e-069475d401a3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4a88cd3b-96a3-42eb-ad1e-069475d401a3' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 ... 357.0 358.0 359.0</div><input id='attrs-2ac89acd-ca1a-4c40-a61e-072726a59420' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ac89acd-ca1a-4c40-a61e-072726a59420' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c32360dd-1b4f-474c-b594-a403b20f9911' class='xr-var-data-in' type='checkbox'><label for='data-c32360dd-1b4f-474c-b594-a403b20f9911' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   1.,   2., ..., 357., 358., 359.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 89.0 88.0 87.0 ... 2.0 1.0 0.0</div><input id='attrs-e2a2793e-4388-4a68-a79b-50b7623ea8da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2a2793e-4388-4a68-a79b-50b7623ea8da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b6a9242-d093-40a1-895d-9206573195b6' class='xr-var-data-in' type='checkbox'><label for='data-8b6a9242-d093-40a1-895d-9206573195b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([90., 89., 88., 87., 86., 85., 84., 83., 82., 81., 80., 79., 78., 77.,\n",
       "       76., 75., 74., 73., 72., 71., 70., 69., 68., 67., 66., 65., 64., 63.,\n",
       "       62., 61., 60., 59., 58., 57., 56., 55., 54., 53., 52., 51., 50., 49.,\n",
       "       48., 47., 46., 45., 44., 43., 42., 41., 40., 39., 38., 37., 36., 35.,\n",
       "       34., 33., 32., 31., 30., 29., 28., 27., 26., 25., 24., 23., 22., 21.,\n",
       "       20., 19., 18., 17., 16., 15., 14., 13., 12., 11., 10.,  9.,  8.,  7.,\n",
       "        6.,  5.,  4.,  3.,  2.,  1.,  0.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>plev</span></div><div class='xr-var-dims'>(plev)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>100 250 300 500 700 850</div><input id='attrs-ff83a279-f028-4fa1-ad65-7c088fa19290' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff83a279-f028-4fa1-ad65-7c088fa19290' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96cce5d1-7c4c-4849-acbb-af7c173f3fca' class='xr-var-data-in' type='checkbox'><label for='data-96cce5d1-7c4c-4849-acbb-af7c173f3fca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>millibars</dd><dt><span>long_name :</span></dt><dd>pressure_level</dd></dl></div><div class='xr-var-data'><pre>array([100, 250, 300, 500, 700, 850], dtype=int32)</pre></div></li><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'>2021-01-01 ... 2021-02-28</div><input id='attrs-b3b92d71-865b-4da7-b340-af754ecbe68c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3b92d71-865b-4da7-b340-af754ecbe68c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e65b0bd-205e-473e-8ece-123977efea42' class='xr-var-data-in' type='checkbox'><label for='data-9e65b0bd-205e-473e-8ece-123977efea42' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-01-01T00:00:00.000000000&#x27;, &#x27;2021-01-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-01-03T00:00:00.000000000&#x27;, &#x27;2021-01-04T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-01-05T00:00:00.000000000&#x27;, &#x27;2021-01-06T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-01-07T00:00:00.000000000&#x27;, &#x27;2021-01-08T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-01-09T00:00:00.000000000&#x27;, &#x27;2021-01-10T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-01-11T00:00:00.000000000&#x27;, &#x27;2021-01-12T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-01-13T00:00:00.000000000&#x27;, &#x27;2021-01-14T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-01-15T00:00:00.000000000&#x27;, &#x27;2021-01-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-01-17T00:00:00.000000000&#x27;, &#x27;2021-01-18T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-01-19T00:00:00.000000000&#x27;, &#x27;2021-01-20T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-01-21T00:00:00.000000000&#x27;, &#x27;2021-01-22T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-01-23T00:00:00.000000000&#x27;, &#x27;2021-01-24T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-01-25T00:00:00.000000000&#x27;, &#x27;2021-01-26T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-01-27T00:00:00.000000000&#x27;, &#x27;2021-01-28T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-01-29T00:00:00.000000000&#x27;, &#x27;2021-01-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-01-31T00:00:00.000000000&#x27;, &#x27;2021-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-02T00:00:00.000000000&#x27;, &#x27;2021-02-03T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-04T00:00:00.000000000&#x27;, &#x27;2021-02-05T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-06T00:00:00.000000000&#x27;, &#x27;2021-02-07T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-08T00:00:00.000000000&#x27;, &#x27;2021-02-09T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-10T00:00:00.000000000&#x27;, &#x27;2021-02-11T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-12T00:00:00.000000000&#x27;, &#x27;2021-02-13T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-14T00:00:00.000000000&#x27;, &#x27;2021-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-16T00:00:00.000000000&#x27;, &#x27;2021-02-17T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-18T00:00:00.000000000&#x27;, &#x27;2021-02-19T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-20T00:00:00.000000000&#x27;, &#x27;2021-02-21T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-22T00:00:00.000000000&#x27;, &#x27;2021-02-23T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-24T00:00:00.000000000&#x27;, &#x27;2021-02-25T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-26T00:00:00.000000000&#x27;, &#x27;2021-02-27T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-28T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f00e0be3-74d5-4524-8803-88be85a51482' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f00e0be3-74d5-4524-8803-88be85a51482' 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>va</span></div><div class='xr-var-dims'>(time, plev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fbce6d0e-9441-4c74-b4f5-0a172e7c7b30' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbce6d0e-9441-4c74-b4f5-0a172e7c7b30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50e4da58-1e7b-4804-8437-18b81544426c' class='xr-var-data-in' type='checkbox'><label for='data-50e4da58-1e7b-4804-8437-18b81544426c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>long_name :</span></dt><dd>V component of wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd></dl></div><div class='xr-var-data'><pre>[11597040 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-afbbdb91-a106-4884-8e7f-b76ecce7f80c' class='xr-section-summary-in' type='checkbox'  ><label for='section-afbbdb91-a106-4884-8e7f-b76ecce7f80c' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b9e45d9b-7418-423a-a4e5-ea2a4b12f570' class='xr-index-data-in' type='checkbox'/><label for='index-b9e45d9b-7418-423a-a4e5-ea2a4b12f570' 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(Float64Index([  0.0,   1.0,   2.0,   3.0,   4.0,   5.0,   6.0,   7.0,   8.0,\n",
       "                9.0,\n",
       "              ...\n",
       "              350.0, 351.0, 352.0, 353.0, 354.0, 355.0, 356.0, 357.0, 358.0,\n",
       "              359.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=360))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f46d1e75-19b3-4fba-8725-f5779e44493e' class='xr-index-data-in' type='checkbox'/><label for='index-f46d1e75-19b3-4fba-8725-f5779e44493e' 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(Float64Index([90.0, 89.0, 88.0, 87.0, 86.0, 85.0, 84.0, 83.0, 82.0, 81.0, 80.0,\n",
       "              79.0, 78.0, 77.0, 76.0, 75.0, 74.0, 73.0, 72.0, 71.0, 70.0, 69.0,\n",
       "              68.0, 67.0, 66.0, 65.0, 64.0, 63.0, 62.0, 61.0, 60.0, 59.0, 58.0,\n",
       "              57.0, 56.0, 55.0, 54.0, 53.0, 52.0, 51.0, 50.0, 49.0, 48.0, 47.0,\n",
       "              46.0, 45.0, 44.0, 43.0, 42.0, 41.0, 40.0, 39.0, 38.0, 37.0, 36.0,\n",
       "              35.0, 34.0, 33.0, 32.0, 31.0, 30.0, 29.0, 28.0, 27.0, 26.0, 25.0,\n",
       "              24.0, 23.0, 22.0, 21.0, 20.0, 19.0, 18.0, 17.0, 16.0, 15.0, 14.0,\n",
       "              13.0, 12.0, 11.0, 10.0,  9.0,  8.0,  7.0,  6.0,  5.0,  4.0,  3.0,\n",
       "               2.0,  1.0,  0.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>plev</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8eb41117-106e-4cb2-bfad-4149c055bec7' class='xr-index-data-in' type='checkbox'/><label for='index-8eb41117-106e-4cb2-bfad-4149c055bec7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([100, 250, 300, 500, 700, 850], dtype=&#x27;int64&#x27;, name=&#x27;plev&#x27;))</pre></div></li><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-40e340ac-1061-4d8a-9f7e-67d93fff1549' class='xr-index-data-in' type='checkbox'/><label for='index-40e340ac-1061-4d8a-9f7e-67d93fff1549' 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;2021-01-01&#x27;, &#x27;2021-01-02&#x27;, &#x27;2021-01-03&#x27;, &#x27;2021-01-04&#x27;,\n",
       "               &#x27;2021-01-05&#x27;, &#x27;2021-01-06&#x27;, &#x27;2021-01-07&#x27;, &#x27;2021-01-08&#x27;,\n",
       "               &#x27;2021-01-09&#x27;, &#x27;2021-01-10&#x27;, &#x27;2021-01-11&#x27;, &#x27;2021-01-12&#x27;,\n",
       "               &#x27;2021-01-13&#x27;, &#x27;2021-01-14&#x27;, &#x27;2021-01-15&#x27;, &#x27;2021-01-16&#x27;,\n",
       "               &#x27;2021-01-17&#x27;, &#x27;2021-01-18&#x27;, &#x27;2021-01-19&#x27;, &#x27;2021-01-20&#x27;,\n",
       "               &#x27;2021-01-21&#x27;, &#x27;2021-01-22&#x27;, &#x27;2021-01-23&#x27;, &#x27;2021-01-24&#x27;,\n",
       "               &#x27;2021-01-25&#x27;, &#x27;2021-01-26&#x27;, &#x27;2021-01-27&#x27;, &#x27;2021-01-28&#x27;,\n",
       "               &#x27;2021-01-29&#x27;, &#x27;2021-01-30&#x27;, &#x27;2021-01-31&#x27;, &#x27;2021-02-01&#x27;,\n",
       "               &#x27;2021-02-02&#x27;, &#x27;2021-02-03&#x27;, &#x27;2021-02-04&#x27;, &#x27;2021-02-05&#x27;,\n",
       "               &#x27;2021-02-06&#x27;, &#x27;2021-02-07&#x27;, &#x27;2021-02-08&#x27;, &#x27;2021-02-09&#x27;,\n",
       "               &#x27;2021-02-10&#x27;, &#x27;2021-02-11&#x27;, &#x27;2021-02-12&#x27;, &#x27;2021-02-13&#x27;,\n",
       "               &#x27;2021-02-14&#x27;, &#x27;2021-02-15&#x27;, &#x27;2021-02-16&#x27;, &#x27;2021-02-17&#x27;,\n",
       "               &#x27;2021-02-18&#x27;, &#x27;2021-02-19&#x27;, &#x27;2021-02-20&#x27;, &#x27;2021-02-21&#x27;,\n",
       "               &#x27;2021-02-22&#x27;, &#x27;2021-02-23&#x27;, &#x27;2021-02-24&#x27;, &#x27;2021-02-25&#x27;,\n",
       "               &#x27;2021-02-26&#x27;, &#x27;2021-02-27&#x27;, &#x27;2021-02-28&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b44ab289-8959-4c78-8e51-67b5543ee886' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b44ab289-8959-4c78-8e51-67b5543ee886' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>2022-02-25 11:57:36 GMT by grib_to_netcdf-2.24.2: /opt/ecmwf/mars-client/bin/grib_to_netcdf -S param -o /cache/data0/adaptor.mars.internal-1645790231.544407-16645-17-e010eb43-ee14-4e1a-aa58-1e5a8182a156.nc /cache/tmp/e010eb43-ee14-4e1a-aa58-1e5a8182a156-adaptor.mars.internal-1645789684.3032207-16645-3-tmp.grib</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lon: 360, lat: 91, plev: 6, time: 59)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 0.0 1.0 2.0 3.0 4.0 ... 355.0 356.0 357.0 358.0 359.0\n",
       "  * lat      (lat) float32 90.0 89.0 88.0 87.0 86.0 85.0 ... 4.0 3.0 2.0 1.0 0.0\n",
       "  * plev     (plev) int32 100 250 300 500 700 850\n",
       "  * time     (time) datetime64[ns] 2021-01-01 2021-01-02 ... 2021-02-28\n",
       "Data variables:\n",
       "    va       (time, plev, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    Conventions:  CF-1.6\n",
       "    history:      2022-02-25 11:57:36 GMT by grib_to_netcdf-2.24.2: /opt/ecmw..."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "va"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d45318a6-8496-444c-b7bf-639bd52681b4",
   "metadata": {},
   "source": [
    "## Calculate metrics"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "00b27108-243b-4e10-ade7-aa373baf2ad3",
   "metadata": {},
   "source": [
    "### Francis & Vavrus 2015"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ac018fc8-57e8-4355-bb6a-1acd81547d33",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[0;31mSignature:\u001b[0m \u001b[0mjsmetrics\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwaviness_metrics\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrancis_vavrus_2015\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mDocstring:\u001b[0m\n",
       "This method calculates a waviness metric called: Meridional Circulation Index (MCI) from u- and v-components of wind.\n",
       "\n",
       "MCI is calculated as follows:\n",
       "\n",
       ".. math::\n",
       "    MCI = \\frac{v*|v|}{u^2+v^2}\n",
       "\n",
       "When MCI = 0, the wind is purely zonal, and when MCI= 1 (-1), the flow is from the South (North).\n",
       "\n",
       "This method was originally introduce in Francis & Vavrus (2015) https://doi.org/10.1088/1748-9326/10/1/014005\n",
       "and is described in the Section entitled: 'Meridional circulation Index (MCI)'.\n",
       "\n",
       "Please see 'Notes' below for any additional information about the implementation of this method\n",
       "to this package.\n",
       "\n",
       "Parameters\n",
       "----------\n",
       "data : xarray.Dataset\n",
       "    Data which should containing the variables: 'ua' and 'va', and the coordinates: 'lon', 'lat', 'plev' and 'time'.\n",
       "\n",
       "Returns\n",
       "----------\n",
       "output : xarray.Dataset\n",
       "    Data containing the one output: 'mci'\n",
       "\n",
       "Notes\n",
       "-----\n",
       "In the original methodology, MCI is expressed in terms of seasonal anomaly, we show you how to do this in 'Examples'\n",
       "\n",
       "Examples\n",
       "--------\n",
       ".. code-block:: python\n",
       "\n",
       "    import jsmetrics\n",
       "    import xarray as xr\n",
       "\n",
       "    # Load in dataset with u and v components:\n",
       "    uv_data = xr.open_dataset('path_to_uv_data')\n",
       "\n",
       "    # Subset dataset to range used in original methodology (500 hPa & 20-80 N)):\n",
       "    uv_sub = uv_data.sel(plev=500, lat=slice(20, 80))\n",
       "\n",
       "    # Run statistic:\n",
       "    fv15 = jsmetrics.waviness_metrics.francis_vavrus_2015(uv_sub)\n",
       "\n",
       "    # Express MCI as a seasonal anomaly\n",
       "    fv15_seasonal_anomalies = (mci['mci'] - mci['mci'].groupby('time.season').mean())\n",
       "\u001b[0;31mFile:\u001b[0m      ~/Dev/PhD/jsmetrics/jsmetrics/metrics/waviness_metrics.py\n",
       "\u001b[0;31mType:\u001b[0m      function"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "jsmetrics.waviness_metrics.francis_vavrus_2015?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "33efb14b-739b-4baa-91d4-a7a61c9f9d8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "uava = xr.merge([ua, va])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "e7f42a68-cbca-40bf-a029-92d9e7165262",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 50.5 ms, sys: 4.87 ms, total: 55.4 ms\n",
      "Wall time: 52.4 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# This takes ~50 milliseconds on Intel i7-10750\n",
    "mci = jsmetrics.waviness_metrics.francis_vavrus_2015(\\\n",
    "                                        uava.sel(time=\"2021-02\", plev=500, lat=slice(90, 0)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "7863d0c3-6b0d-4f0f-8d96-c6b34c99c008",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.contour.QuadContourSet at 0x7fee4893f650>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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IY0hIiNMVsOfOnWs10RpBEARBiCUvLw+NGjWS5dq3b99GXf+auIkKr69Vs2ZNXL9+3WrfjBkzkJqaahf2r7/+QkVFhcM21XYNQ0fk5+fjhx9+wJo1a6z2t2jRApmZmYiJiUFJSQkWLlyIrl274pdffkHTpk3FJ0oFVB9a/9lnn2HEiBFo2LAhfHx80L59ewwZMgRHjhzhw9iqXkdK2MzUqVORkpLC/y4uLkbjxo3x01OPoWY11ZPrlqY0ORuTnA5QflZqgm1a3fxN7SgYjrPvvCP7Pa7fKccj/9qGwMBA2e5RVlaGm6jAs2gIXy9cd8tQidXXLyEvLw9BQUH8fndLzIhpUy3JzMxErVq1MHDgQKv9Xbp0QZcuXfjfXbt2Rfv27fHBBx/g/fffF5AS9VFdHdx7773Izs7GjRs3UFJSgrCwMAwePBhRUVEIDQ0FcHf16bCwMP6cwsJCO2Vrxpl5sGa1qqjpW02eREhI/vsLFb9n8+nTFL+nUpwMaCnJdWpKchVCT1wIdL7ivRRE3zwj6/XVIGdOmlfnK1mHK+FW4YsqXokhM0FBQVZiyBn16tWDj4+PnRXIVZtqhuM4fPLJJxg6dKjL5ZAAoEqVKnjggQdw9uxZ95FnBNXFkJkaNWqgRo0aKCoqwpYtW7BgwQJeEGVlZfF9j2VlZcjOzsb8+fNFXX/JmlN8ppuY1Eby+GsZoRUUy6JJKtEjNykbTqgdBcOTnhjjPhADuMrTLAslbwWP2ixZo9+pW3x9fdGhQwdkZWVZLVadlZWFAQMGuDw3Ozsbv//+u6B1/DiOw7Fjx+zWgWQZ1cXQli1bwHEcmjdvjt9//x2vvfYamjdvjueffx4mkwnJyclIS0tD06ZN0bRpU6SlpSEgIABDhgzx+J4LM4+7DUOCyZ6cOWlMCSKlBZCWhMzOFZ+oHQWP6TZyhKzX9/Y9siCmbPM+y+KINYTU/3omJSUFQ4cORceOHREbG4tly5bhwoULGDt2LIC7riaXLl3Cp59+anXeihUr0LlzZ0RHR9tdc+bMmejSpQuaNm2KkpISvP/++zh27Bg+/PBDRdIkBaqLoeLiYkydOhUXL15EnTp18OSTT2LOnDmoVu2uOXTy5Mm4desWxo0bh6KiInTu3Blbt26VtT+XhBDbkAhyj9SCQk5xJbf4kQoWRJAzTga0JEFECGLw4MG4cuUKZs2ahfz8fERHR2PTpk386LD8/Hy7OYeKi4uxfv16LFzo2I3j6tWrGDNmDAoKChAcHIx27dph586d6NSpk+zpkQrdL8dRUlKC4OBgPI8IwX2zJIaco5ZlSI1uMC2KIEIeWBZCZlgSQ6x2lQmxCpWhEiuRh+LiYkF+OJ7gSbvkCCXiahRUn4Ga0BZKV3InA1qqYgkiIURoDa34zREEi5AYIphFrcpdC1YAgrAk+uYZpixDBKE1VPcZYgnqHnON0l1klpW70sLIVhCRpYhgDVbFD6tdZMDfdbzRnagJe0gM/Q8SQs5hYQSZbcWvpjgiYUSoCYkg77Gt70kcEYZ1oCbx4x4WRJBQ1OpSI2FkHNTuPmVVBAHaEkLuuF52B53WbCYHaoNhGMvQi0Naa2IGahbQkggyo1aXGlmMjEPKhhOqCSJWhZCeRBBhbAwjhgjHaFH4uENtYUSiSH+QCLKGRBChN0gM6RQ9ihxPUMPXiESRviAh9Dckggi9QmJIZ5AIco2S4ig9MYYEkcZRQwiRCCII5aF5hnQECSHxyD0/S3pijOqOt4RnkBC6CwkhwgiQGNIJJIS8Q+5GiASRdlBDwLI6aSIJIcIoUDeZhiDBIy/RN89Qt5mBIUsQQRgXEkOMQsJHHUgQGRMlhZAWBBBZhAijQWKIMUgEqY+5sZJLFLEqiHau+MTqd7eRI1SKiXIoJYK0IIAIwsiQGGIEEkHsIacoYk0Q2Qoh2316E0ZkCXIOWYUII0JiSCVI/GgHubrOWBBEjkSQ3iFrkGNIBBFGhsSQh9iKGaEVCYkgbaIHQWRE4WMLCSF7SAQRBIkhj3AkaJpPn2ZXqZDw0Rd6EESesnPFJ7rrKpMLEkIEoT1IDInAnbgh8aN/1Fjeg5AGJaxCWhBCJIAIwh6adFEgJHQIR5gny/O2EVSioTZbdrqNHOGRlWfnik+oq80JrE6aaAsJIYJwDFmGXEACiBCD3EPypcBSBHUbOcIjcWM+h7rN7qIFEUQQhGtIDGkMV192JN7YwFNRpAXfIUvIj0hbQoisQgThHBJDGoMEj3bwxOFai4IIMKaVSCtCSKsiyLKu02oaCO1AYoggZETu5T08QQ6/H7ISsYeeBISj0boEISUkhghCZpQWRGo5ObMsiKR2UGfZKqRX0eDMKq7X9BLKQqPJFIA1ywChPGIaTzVWT5cKGm2mLkYUBs2nT+M3gvAUEkMycjKgJS+EzP9bbgThDBJE0qHlZykGvQkhT9JDgojwFOomc4InhUqswDGHZ9nkbhTMFa8eKlNPh8xLie391eo+M4IQ0psI8gZ6FoSnkBhygNgG0Vsrz8mAliSIVMBRxZkzJ002QSTWd0hrI8tcocaoM70LISM0/O7KoxGeAaEMJo7jOLUjISclJSUIDg7GgSG9UNO3msuwYhpBObq59CyIWLKCCalA5RJEnuQbTwWR2tYhV8gpioywGCuJAPm4XnYHndZsRnFxMYKCgmS5h7ldeh4R8PXCW6UMlViJPFnjahRU9RkqLy/HG2+8gaioKPj7++Oee+7BrFmzUFlZyYfhOA6pqakIDw+Hv78/4uPjcerUKY/u58rJTm0hJOd1WULtNAptRFhqbDxt3Fkd2QWwLdQIgjAeqlqG5syZg/feew+rVq1C69atcejQITz//POYPXs2Jk6cCACYP38+5syZg8zMTDRr1gyzZ8/Gzp07kZOTg8DAQLf3MCvwoiPbEBRYw+s4y92Ys2A5kRM1uwS9FThSWYs8zUNkIRKO3q1DLIl1LeOoTJdcu4Ha7R8jy5DBUNVnaO/evRgwYAD69OkDAGjSpAm++OILHDp0CMBdq1BGRgamT5+OxMREAMCqVasQEhKCNWvW4IUXXlAt7oRnaFnsSeVP5Om8Q3ryIZIby+ckpzAifz/toYdBEoT0qCqGHnzwQSxduhS//fYbmjVrhl9++QW7d+9GRkYGACA3NxcFBQVISEjgz/Hz80P37t2xZ88eh2KotLQUpaWl/O+SkhLZ0yEVeqpUWWskjPwlzcLoMjWRWxgpnddZycsLM49b/Z6Y1EalmAiDRBDhClXF0JQpU1BcXIwWLVrAx8cHFRUVmDNnDp555hkAQEFBAQAgJCTE6ryQkBCcP3/e4TXnzp2LmTNnyhJftf1d9IJSjYccjQZZh7RNyoYTuhBEcmIrcsScx6ogIiFEuENVB+p169bh888/x5o1a3DkyBGsWrUK77zzDlatWmUVzmQyWf3mOM5un5mpU6eiuLiY3/Ly8mSLvytSNpygRssJWhVCltf29vpGWJ5DCCzHzWgszDzusRCyvAZBaBFVxdBrr72G119/HU8//TRiYmIwdOhQvPLKK5g7dy4AIDQ0FMDfFiIzhYWFdtYiM35+fggKCrLa1MTIgkgNS5oUQoV19D5/jtzIUSaVsgrJlbdJxBBGR1UxdPPmTVSpYh0FHx8ffmh9VFQUQkNDkZWVxR8vKytDdnY24uLiFI2rNxhJENkuNaKkIFJaBKkpuvQkiMg6pB5SWIMcXZMgtIaqYqhfv36YM2cOvv/+e5w7dw4bN25Eeno6nnjiCQB3u8eSk5ORlpaGjRs34uTJk0hKSkJAQACGDBmiaFzFNOqOxI/eBZGr9daUEERasgZJ9TyECiKW5xtSC72XRyGQaCGIv1HVgfqDDz7Am2++iXHjxqGwsBDh4eF44YUX8NZbb/FhJk+ejFu3bmHcuHEoKipC586dsXXrVkFzDCmNEStYoQ27nhxMLZFz+Q4jocZyHVKixfw9MakNCSKC+B+qWoYCAwORkZGB8+fP49atW/j3v/+N2bNnw9fXlw9jMpmQmpqK/Px83L59G9nZ2YiOjlY0nu4afKmcpbU0Ws2VJYhgD62IjJ0rPqFuMxdoRXiTyCK0hqpiSAsIEUJGw1MRpFfxRL5D0qOEIJK67CqVv7UiiAhCS5AY8hBPrEFGFE5KoCV/IUI4cluJ5JpviKymdyHrEKElSAy5gCq0v5Gqkpf6mbIihITGQ+r0k8A2JlJYh5QQKywIIrKkEUJQ1YGaYANzA+3MAZQ1UciKABILCSF2UKJ7kWWnaiVFipozU5MQIoRCYojgUUr0eNpIsC6ClBhZpseV65VGL35WzadP86hMqGGtUUMQkRAixEDdZE5gzRpidFgXQu7wNj/R8i7aRO56REsNvhwTPDpDS8+FYAMSQx4gZ6OktAgj0SctzkSbN90lUuQ3rQytN9Nt5Ah+I1wjtuFndTFVglATEkMOcCUQvG2Y6OtePFqzCmktvqyghADSSxeZLSSI/oasQoQnkM+QDXIKITFxUMLxkqxC8uHIfyj65hnRz1wP4pmsO2yi1gzUcvoPkRAiPIUsQwJRulHS81wlYoSelq0srMVdDVFCQoht9GwhIpyzePFiREVFoXr16ujQoQN27drlNOyOHTtgMpnstl9//dUq3Pr169GqVSv4+fmhVatW2Lhxo9zJkBQSQxY4Ex9qfp1LLYhoUjhlsRVEag61VnpEGWtCSK9dZN6iF0FEViFhrFu3DsnJyZg+fTqOHj2Khx56CL1798aFCxdcnpeTk4P8/Hx+a9q0KX9s7969GDx4MIYOHYpffvkFQ4cOxaBBg7B//365kyMZJIZUQC1xRQKIUArWhJARMLIYMHLaxZKeno6RI0di1KhRaNmyJTIyMhAREYElS5a4PK9BgwYIDQ3lNx8fH/5YRkYGevTogalTp6JFixaYOnUqHn30UWRkZMicGukgMfQ/lBYKYgSRkUWMHis5VifikwoWhRBZhVwzMamNbixEhHPKyspw+PBhJCQkWO1PSEjAnj17XJ7brl07hIWF4dFHH8X27dutju3du9fumj179nR7TZYgMeQGPTiwAsYWVGrjyHdIqCDSWiPOohAyEt5+PJAg0iYlJSVWW2lpqcNwf/31FyoqKhASEmK1PyQkBAUFBQ7PCQsLw7Jly7B+/Xps2LABzZs3x6OPPoqdO3fyYQoKCkRdk0VoNJkb0hNjZBNEKRtOCG7sLMWMbUOqteU0CIIgpELL1uMXh7RGTd9qHp9/vewOVq7JQ0REhNX+GTNmIDU11el5JpPJ6jfHcXb7zDRv3hzNmzfnf8fGxiIvLw/vvPMOunXr5tE1WYQsQ9CeWLB0gtZa3MXC2ogsT2HBOiS31YasQo7RWhnVmnVIL3WEN+Tl5aG4uJjfpk6d6jBcvXr14OPjY2exKSwstLPsuKJLly44e/Ys/zs0NNTra6oNiSGVkbsbTmsVsZ7xptLWWncZQRDKERQUZLX5+fk5DOfr64sOHTogKyvLan9WVhbi4uIE3+/o0aMICwvjf8fGxtpdc+vWraKuqTaGF0MsiAW5BBELaSOs0asgIquQa6gs/o3WLE96IyUlBR9//DE++eQTnDlzBq+88gouXLiAsWPHAgCmTp2KYcOG8eEzMjLw1Vdf4ezZszh16hSmTp2K9evXY/z48XyYiRMnYuvWrZg/fz5+/fVXzJ8/H9u2bUNycrLSyfMYw4shQjhSiTZqGP5G6yPLtLB+GMsi0ojIMes1dZUJZ/DgwcjIyMCsWbNw//33Y+fOndi0aRMiIyMBAPn5+VZzDpWVlWHSpElo06YNHnroIezevRvff/89EhMT+TBxcXFYu3YtVq5ciTZt2iAzMxPr1q1D586dFU+fp5g4juPUjoSclJSUIDg4GEVHtiEosIbVMaGNslIjypSqtL1ZFkKqOBplFmpn2Dp9KpkXpZp8kQURZJsfLZ8PayJIKeErRXmRe5kOOaxDzadPs0q7p47VJdduoHb7x1BcXIygoCCpomd9j/+1SweG9PLagbrTms2yxtUo0GgygyJGEOllegE9IOfoRjGoKYRciRzWBJAlSq056ClqrFMmJXr8aCKUw5BiSIxVRMmGR8xQe6WQ05+J5YZBbmwXcvXEWqcULFiAALaFjpbRuggiCCkgnyHGSNlwgokvf8C1EFIyjlqeR4RFWBE3RsPI4t8WEmAEa5AYUgClF8h0h5D5iZyJHVaEGqEMrAgnsgoJR8zHA4kSgriL4cSQ0l0RZiEkVhCxLDrMcWM5jlpEyUkYXYkc8wgxtYVQemIMv6kB5W95ISFGsIQhfYaUwJH42bniE9UbGCEo1QgY3W+IRYTkT3Peljovs2j9kcqPT+l8bjuyymhQ1zohFsNZhpTAlRWItS4zwrhYihlPLEE7V3wiWX5mUQiZ8fbjgAQ/QbAPWYbcIMdQZkcNiKOGiJXRZeY4ULeBY9O+lmfUlcK6463Fk4U8bgvldYIwFoazDHnylSamsta65ce2EbBMuyP/DW8bDVaHkzvCmY/Dwszjkvk/aNWK4Gm+17sQUvN9UleRc3LmpPEbQQAGFENyomch5Mm1bDctI0TsSCmKjICWhJDW8y+rsFBeSBARgMpiqEmTJjCZTHbbSy+9BADgOA6pqakIDw+Hv78/4uPjcerUKTWj7BStCyExeNqIUYMiDCHWBBaFhNaROn+yYOVzZx0yd/FqravXXbpI4BBiUVUMHTx4EPn5+fyWlZUFAHjqqacAAAsWLEB6ejoWLVqEgwcPIjQ0FD169MC1a9e8uq/UlZQUQsjZNZQSEFLfhxprfeIsn4rxGVJzuDxhj5pCyJN7G32kHCEPqoqh+vXrIzQ0lN++++473HvvvejevTs4jkNGRgamT5+OxMREREdHY9WqVbh58ybWrFmjZrQNgxxCTKvWITGVtjvTf/Pp09x+2bJgVSD0gVDfIS1Yh8T4QbkSTJbXId8qAmBoNFlZWRk+//xzpKSkwGQy4Y8//kBBQQESEhL4MH5+fujevTv27NmDF154weF1SktLUVpayv8uKSmRPe5SodY8RJ4IFCW/7Fn5CpyY1MZrHwcxFa8n65U5ei8sCVCyCKkDi9YUtcUXiSDCEmYcqL/66itcvXoVSUlJAICCggIAQEhIiFW4kJAQ/pgj5s6di+DgYH6LiIhwGI6+vIUhh/MzS40z67jKp0KFhZTdUo7EulABr3UhRPnWMWqLGlewJgAJdmFGDK1YsQK9e/dGeHi41X6TyWT1m+M4u32WTJ06FcXFxfyWl5cnS3zlglVHbGoI1EGMZcid2JBDEOlJCEn9/ISsAcgaYoWNpQO2mHPVFlA0rJ6whQkxdP78eWzbtg2jRo3i94WGhgKAnRWosLDQzlpkiZ+fH4KCgqw2b1FaCNgKIlaEiJB4eBJXrTUY7pCqopdSCIkN5w4hM1arvbaYJ8gRV1ZEEfkOOf5NEAAjYmjlypVo0KAB+vTpw++LiopCaGgoP8IMuOtXlJ2djbi4OEnuq8euMiXT5GpOFlYEHGtIXRF70ngrIVC0JICUQm+CyFEYs4XI1flSiS1PfH5IGBHOUF0MVVZWYuXKlRg+fDiqVv3bn9tkMiE5ORlpaWnYuHEjTp48iaSkJAQEBGDIkCGKxU+tRt0b65CcgohEjmvU+Kr2VHjIJVi0LoTkjD8LgkgpbMuC2K40R5B4IeRC9dFk27Ztw4ULFzBihL3JffLkybh16xbGjRuHoqIidO7cGVu3bkVgYKAk99ZaxSRkrTIl0mQriKQQSK5WsDd/AbJQEUoxoowlzGvvybEGn5axXY9P6wLPE8zCxdv1+FjodmOh7iDYxsRxHKd2JOSkpKQEwcHBKDqyDUGBNayOCREOQhoIOZ2ebf0y5KqUlW4IHaVDiEWLlUrNmSASUvELNe+rJda9yQtGFA1iYaF73pNytDDzOBPCBpBuqgBHZbHk2g3Ubv8YiouLJfE5dYS5XTowpBdq+lbz+DrXy+6g05rNssbVKKhuGVILrVmFtALr89wYCSGWREeQlUheXFlBWYYVIQSw81FE6AfVfYaUhpWRHZ6g1a9uKePNykRpLDUMjvBWzGg1r2kFtesgVsqRmtAzICwxlBhSuwISixqzUcsFNa7KIsXztr2Gu6Hy9I7FobX6SG+QdYmwxDDdZKcDmqGmB+ep1WWgVSHkqmtGiPO3FrsPzEhtLfJkOQ6pUVv4WOYHtZ+FHKiZ51kamEAQamMoyxChD1gxb7PeVaZ1S42tSIi+ecZqcxRGi6gt8swLB7NSrpSEhCBhxjCWIS2hpFWIHGUJVhArbCwFkdqCwlu0bhUlCK1DliGDI6X1QGtLL0gJ61Yi1iEhoL6FCGDH6koQSkNiiDG8sQrZdiEIhSUBw0KDIAZPRJARTfOu8qYUQkgvYoqF0a6W3WZ6EEd6SQchL4YRQ61u/qZ2FNzirRDyBpYEkdYgq5BzseNsn1xx0AtqCyJLpBASaooR88cHCSLCFYYRQ4A8laWcs08LhYVGQEoxxVJDoDZqvFtHjspiwghxbpZTELFQHgh7SIwQLGM4B2qxzpbkYEwYCam6sYScQ6JFO3iz/AXLIojluBHKYijLkBm9VcJmPwPLTSzeij4SjdpHb+VC65CFVBpI8BBCMKQY0iokOLxDLkdKra1ib9vFpUcRpJc0sSSISFQQesZw3WRm9DA3idzY+gFpWYxRRX4XVz5ABJvQHETSIdVq94T+ECSG2rdvL+qiJpMJ33zzDRo2bOhRpAjlsV12xJFDtOU+uYWRuwbAWx8GKStET4fXCxVo3gp3aki1Db0/z6GPIEIogsTQsWPH8Oqrr6JmTfere3Ech3nz5qG0tNTryMkJWYXsETMizByWVWuR0StBakC1D71DeTF6HUFYI7ib7LXXXkODBg0EhX333Xc9jpASaFUIsTgXkJyiSE7rkJ6hRvQu1BUuPWqVOUu/PG/n9SIRRDhCkAN1bm4u6tevL/iip0+fRmRkpMeRkhOqHOXBtptNKdSs2BZmHmfKeVqvztAEYQlLZY7QD4LEUGRkJEwmk+CLRkREwMfHx+NIGRElF2eVCzksV56IVyUFEs0+TcgBS6LWtgwq/QHiqfghCxAhBo9Gk129ehUHDhxAYWEhKisrrY4NGzZMkogR9qRsOMFkV5naeGK6l8Lcz5IQUqPxtHx+1PDoE2cfI0LKD+UJQkuIFkPffvstnn32Wdy4cQOBgYFWFiOTycS8GCI/An0id8Urh6+EkiPKpMTRc3D1bKhR1A6WfnqW+c2R/56jMiH1uyarEKEUosXQq6++ihEjRiAtLQ0BAQFyxIkgCJWRUviJEX0EG11kQoW3Wu91YeZxpiyzhPYRPQP1pUuXMGHCBMMIIbm7pbqNHKELfyE9w3pDLnXjqZcReqxY0rSC+Xk5e25SPE8lLLisl1eCTUSLoZ49e+LQoUNyxEURtFxBGtVfSK53JkfFqfWKWC4hpBeBRXiP1ssIoU8EdZN98803/P99+vTBa6+9htOnTyMmJgbVqlWzCtu/f39pY0gAMK4QMmMWRGp2IQj1G7Ks7OUWAe6ehxgnZ7njar4+NYbaRaqlQYSWpYlJbWgoPaEIgsTQwIED7fbNmjXLbp/JZEJFRYXXkZILTy0M3s6hY9kNtnPFJw73E8JQep0mbxtuqRyv5bZo6s1yo2ULsBprkbH4vMgviFASQd1klZWVgjaWhdDpgGZqR4FgFCX8GLzFUePIgqMti7DYsOuJkwEtvX7G7sS3lDNOE4QQRPsMffrppw7XHSsrK8Onn34qSaTkoNXN32S5rhDrjtkaZGkVIjxHjsZOK4JIrAAy+0Wx1DUltRWKxI86yPncJya18XgBZILwBNFi6Pnnn0dxcbHd/mvXruH555+XJFJ6xFYIUReZd2ixAZRKlNCyG/a4GwlFOEfqZ0bvgNAiosUQx3EOl+a4ePEigoODJYmUHjAPmSfRIx9yjjKTE9asNWp8TctxTz01wlpNi5Si1N3af+RYTUiJYDHUrl07tG/fHiaTCY8++ijat2/Pb23btsVDDz2Exx57THQELl26hOeeew5169ZFQEAA7r//fhw+fJg/znEcUlNTER4eDn9/f8THx+PUqVOi78MKngokNRZB1QJSNxqsCBTiLrbvVwp/FdbQi6XP0bsi2GTx4sWIiopC9erV0aFDB+zatctp2A0bNqBHjx6oX78+goKCEBsbiy1btliFyczMhMlksttu374td1IkQ/AM1OYRZceOHUPPnj1Rs2ZN/pivry+aNGmCJ598UtTNi4qK0LVrVzz88MP44Ycf0KBBA/z73/9GrVq1+DALFixAeno6MjMz0axZM8yePRs9evRATk4OAgMDRd1PLszixtwV5kzskJVIHiwrXW8aFUsh5EwUybEsh9poOU1ab3At8ytLS64IRWvxJYB169YhOTkZixcvRteuXfHRRx+hd+/eOH36NBo3bmwXfufOnejRowfS0tJQq1YtrFy5Ev369cP+/fvRrl07PlxQUBBycnKszq1evbrs6ZEKwWJoxowZqKioQGRkJHr27ImwsDCvbz5//nxERERg5cqV/L4mTZrw/3Mch4yMDEyfPh2JiYkAgFWrViEkJARr1qzBCy+8IPhepwOaoab7YKLZueITXuSQ2FEf28rZsoGxbHjUGL7MMiwKImfrZDn6TXiG3M/RUTljLZ8ZjfT0dIwcORKjRo0CAGRkZGDLli1YsmQJ5s6daxc+IyPD6ndaWhq+/vprfPvtt1ZiyGQyITQ0VNa4y4konyEfHx+MHTtWMtPXN998g44dO+Kpp55CgwYN0K5dOyxfvpw/npubi4KCAiQkJPD7/Pz80L17d+zZs8fhNUtLS1FSUmK1sQAJJXWwXWzS2TEx6LUrTUy6yF/Dc8zdYlqdLkGpLnsho8nc+RUZBds2z9GIb+DuqO/Dhw9btakAkJCQ4LRNtaWyshLXrl1DnTp1rPZfv34dkZGRaNSoEfr27YujR496lhiVEL1Qa0xMDP744w9ERUV5ffM//vgDS5YsQUpKCqZNm4YDBw5gwoQJ8PPzw7Bhw1BQUAAACAkJsTovJCQE58+fd3jNuXPnYubMmV7HzRJvCz8JIf1hFg56+8oVYyGiSfHEI0TssCyIzHVhyoYTgmfFd2eFdVWWPB1eL0TYs7CAcNNJkxAUWMPj80uu3QDWbEZERITV/hkzZiA1NdUu/F9//YWKigqHbaq5vXXHu+++ixs3bmDQoEH8vhYtWiAzMxMxMTEoKSnBwoUL0bVrV/zyyy9o2rSp+ISpgGgxNGfOHEyaNAlvv/02OnTogBo1rF9kUFCQ4GtVVlaiY8eOSEu7WwjatWuHU6dOYcmSJRg2bBgfznb0mrMRbQAwdepUpKSk8L9LSkrsMopUaHHeINtKyWjdDY6sQ976GelJEIlJi9xCSIs+NFrCm2crx/JASpcltYWQlOTl5Vm1vX5+fi7Di2lTLfniiy+QmpqKr7/+Gg0aNOD3d+nSBV26dOF/d+3aFe3bt8cHH3yA999/X2gyVEW0GOrVqxeAu2uQWT4888MUMwt1WFgYWrVqZbWvZcuWWL9+PQDw/Y8FBQVWPkqFhYV2ytaMn5+f24xA/A01OCSIPMEbISSmEdJD/nSXt1hYd08tpBIkRrdSBgUFCTJE1KtXDz4+PnZWIFdtqpl169Zh5MiR+Ne//uV25HiVKlXwwAMP4OzZs+4jzwiixdD27dslu3nXrl3tvM9/++03REZGAgCioqIQGhqKrKws3lGrrKwM2dnZmD9/vmTxcIWQLjJLJ2qWMWJlKxQjN0iEeqgl9LQuMN3BQhcYi/j6+qJDhw7IysrCE088we/PysrCgAEDnJ73xRdfYMSIEfjiiy/Qp08ft/fhOA7Hjh1DTIx2FhgXLYa6d+8u2c1feeUVxMXFIS0tDYMGDcKBAwewbNkyLFu2DMBdU15ycjLS0tLQtGlTNG3aFGlpaQgICMCQIUMki4en6GUBVmdf33r4KlcSLVS+rhoJpaxb1FBpGzm6yAjlSElJwdChQ9GxY0fExsZi2bJluHDhAsaOHQvgrqvJpUuX+OW1vvjiCwwbNgwLFy5Ely5deKuSv78/P9HyzJkz0aVLFzRt2hQlJSV4//33cezYMXz44YfqJNIDRM9ADQBXr17Fu+++i1GjRmH06NF47733HC7R4Y4HHngAGzduxBdffIHo6Gi8/fbbyMjIwLPPPsuHmTx5MpKTkzFu3Dh07NgRly5dwtatW5mZY8iM1gSQJa4ED1lKhEGNu37xZgCF3sqPnELIlRgXOrKMcM/gwYORkZGBWbNm4f7778fOnTuxadMmvkcmPz8fFy5c4MN/9NFHKC8vx0svvYSwsDB+mzhxIh/m6tWrGDNmDFq2bImEhARcunQJO3fuRKdOnRRPn6eYOI7jxJxw6NAh9OzZE/7+/ujUqRM4jsOhQ4dw69YtbN26Fe3bt5crrh5RUlKC4OBg/PzrBdQMFO7cbYnQytDdpIve4k1F5KpSdmYVcnVcr+it8XKEudGxFHBq+DwJFZBq5j/Lsu9J+RNa7pTOd0o/U8v0WeY1MXlQiNixFU2efKSUXLuB2u0fQ3FxsagBQaLu8b92qejINq9Hk8kdV6Mg2jL0yiuvoH///jh37hw2bNiAjRs3Ijc3F3379kVycrIMUSS8RWxFaxveCALBiOTMSeM3gpATS/Elpwgn6xDhKaLF0KFDhzBlyhRUrfq3u1HVqlUxefJkHDp0SNLIsUJ6Yoygr0IWF2alkSziUPKLWYp76V3MsGSVlHKyQSNZhaTCyKPFCPkRLYaCgoKs+hPN5OXlMefHoyfk6Kt3NTuzHkjZcILZBW6lWN3bUgQJFUR6Fk5yIHe5UwP68CEIe0SLocGDB2PkyJFYt24d8vLycPHiRaxduxajRo3CM888I0ccVYXVxpQlWKtcbUUQa+9Q7caQEIdZEHkrjE4GtKR3/z/MXWVifXomJrXhN2fHCcITRA+tf+edd2AymTBs2DCUl5cDAKpVq4YXX3wR8+bNkzyCrMBagyoEJUWK2sPw3b0fMcsHyImjZ0SLxrIPC3lH69jmc29HYJLwIaREtGXI19cXCxcuRFFREY4dO4ajR4/iv//9L9577z2a+ZkhhPoKyX0fJRAqVJ2F06LQFYvefYtYx1l5Y6H8EATh4TxDABAQEICYmBi0adMGAQEBUsaJSbT0ZUgVrHdotStDa6PDtBJPOdFqXpMayguE2ojuJrtx4wbmzZuHH3/8EYWFhaisrLQ6/scff0gWOSlpdfM3XAjsqHY0PEIOISa2W8s2vFYFlxGsQLZotaHRg1BgMQ2WI0hZjB9BqIFoMTRq1ChkZ2dj6NChCAsLE7TSLcEmziZWdObDYq48WRJCUogbLVn9hEJLXhCuYKkMEwQLiBZDP/zwA77//nt07dpVjvjIiidfQpYNZXpijOKWBbENNVVyhCVatQoZCSU/MIxmCaKPAkIoon2GateujTp16sgRF0UgseAdenx+jgSuHhoNEkKEM9TI33qsOwj9IFoMvf3223jrrbdw8+ZNOeKjCNE3z/CbWPTYpQLYV1RamBNFSisdyxM0GhVqPKVHrTUHWXuXWhpoQCiDaDH07rvvYsuWLQgJCUFMTAzat29vtWkN1gqpJSwIL7MoYl0YyYEcaVYqv8nVNbAw8zit/0RoCleihwQRYUa0z9DAgQNliIa2UMN3SAvQ6BRlaT59mtPKXI5K3lIELcw8bthJ7xxN4MnKpJ4swsIHp6XvEAkgwhGixdCMGTMEhfviiy/Qv39/1KhRQ3SkCPZgoUKzRCkxqpRzK2uj9FiBVYFtKX70+GFkzotSPHsheduVsCcIJfB40kV3vPDCC/jzzz/lujyhIKw10nI2Pnps2Ah5kNLPjEXBB7BX9glCLmQTQxzHyXVpSfGkElKiwWTF5E6VofRI+Uyl8g1qPn2ay2s58hOSwndIa9YAV2VfK0La2RxicsKq2CMIM7KJIUId1K505K5U1Whw5Hymno5qJORHK+JGKsz5kPIjYURIDOkMFioyFuIgF2qNrJPznt5al/Q6uswT66ynAkpsmZEyP0jpH+QNck+OqDUrJKEsJIYYRI0uMkcVIWuiRqkvdWeTMNouWWJ7zJPGROg5ar4LV2JHr0LIjNGsQ3KitthyBM1OTZghMUTIAmtCyh3piTGiRahUViJvryFlhe7pteQSRSw0oGIFkdjwaliFvJl4Vk6UtA6RECIskU0MRUZGolq1anJdnpAQsgpJh5CGSo4Gnip2ebAcPi8mD8o1o7kz66SeUCIvU3khbBEthvLy8nDx4kX+94EDB5CcnIxly5ZZhTt58iQiIiK8jyGDsDLSi5AePbxbsRW95dcy+VVIiztBxNpHh1GgfE7YIloMDRkyBNu3bwcAFBQUoEePHjhw4ACmTZuGWbNmSR5Bo+FNYyxVxUoVtHdI+cXuybX0VNFTXrRHru4tetaEkREthk6ePIlOnToBAL788ktER0djz549WLNmDTIzM6WOH6EALPoOsIKnXR2uRIyzZ+1O+IgRRkp3A+htaQ5zN5cUXV1SdpdZ5h0qs96hp48GwntEi6E7d+7Az88PALBt2zb0798fANCiRQvk5+dLGzuDwUIXDYsVrNL+QrZrz3kjiLxxsjafp+ZCuWIco2kRV3lxlAf06jdEEEojWgy1bt0aS5cuxa5du5CVlYVevXoBAP7zn/+gbt26kkeQIJTAkeAR6zDLGkpZh/RmFZIDKfKHEjNHm9eCI5FFGA3RYmj+/Pn46KOPEB8fj2eeeQZt27YFAHzzzTd89xkhHrWtQlT5/Y0nDZe79+fJ8xXb0DkSP0IEkTereZMQkh5WxAgr8ZAT6iojzIhetT4+Ph5//fUXSkpKULt2bX7/mDFjEBAQIGnklIDVVbGVxOjpN2Mpgmy7yqTE2VQGUrwHT61B3jYKeuoeU9LKJ2RFd2/CewLViYQR8WieIY7jcPjwYXz00Ue4du0aAMDX11eTYshT1LbkENrD/KVt67DuqnFTwofLUyFEViF20Ip4ERpPb7p43S06TBCOEC2Gzp8/j5iYGAwYMAAvvfQSLl++DABYsGABJk2aJOpaqampMJlMVltoaCh/nOM4pKamIjw8HP7+/oiPj8epU6fERpl5pBBWrDk+S1k5G0V4svYOXUFCyHO8sTy5yiNaEURyQiKI8BTRYmjixIno2LEjioqK4O/vz+9/4okn8OOPP4qOQOvWrZGfn89vJ078XVEsWLAA6enpWLRoEQ4ePIjQ0FD06NGDt0apCYsOs1LAYoWqt2dt6YuhhACiBoJtLEcdelr+tCSkCYJFRIuh3bt344033oCvr6/V/sjISFy6dEl0BKpWrYrQ0FB+q1+/PoC7VqGMjAxMnz4diYmJiI6OxqpVq3Dz5k2sWbNG9H1cYeSKRA7xw6KgEosSAkwL+c6RBUjoPqnQwnMSglxLdMiBXM9czHXFingS/YQ3iBZDlZWVqKiosNt/8eJFBAYGio7A2bNnER4ejqioKDz99NP4448/AAC5ubkoKChAQkICH9bPzw/du3fHnj17nF6vtLQUJSUlVhvhGD2IFqVQuxEz+xl5+s6UaCgmJrWh7jOVMWKZJh8hQgpEi6EePXogIyOD/20ymXD9+nXMmDEDjz/+uKhrde7cGZ9++im2bNmC5cuXo6CgAHFxcbhy5QoKCgoAACEhIVbnhISE8MccMXfuXAQHB/Ob0PXRxHyxqN0w2qKXL2dWMa9or9Z7l+r9UoMhDK37qLEqiDzJx5RnCaUQLYbee+89ZGdno1WrVrh9+zaGDBmCJk2a4NKlS5g/f76oa/Xu3RtPPvkkYmJi8Nhjj+H7778HAKxatYoPYzKZrM7hOM5unyVTp05FcXExv+Xl5YmKk9FhTVixJjy1DouNi7vRbKw27izD2jNjrV4hCFtEzzMUHh6OY8eO4YsvvsCRI0dQWVmJkSNH4tlnn7VyqPaEGjVqICYmBmfPnsXAgQMB3F0MNiwsjA9TWFhoZy2yxM/Pj18uRAuw8hVKlZU9cr4bT563Wg3cxKQ2uppHSAhqWgKFIuecQ6yJKWewKO4JbeLRPEP+/v4YMWIEFi1ahMWLF2PUqFFeCyHgrr/PmTNnEBYWhqioKISGhiIrK4s/XlZWhuzsbMTFxXl9L+JvSAgZC28aEEc+QeY1yfQmmFj5UBECy+uWeVu/yC14aBZqAvBQDH322Wd48MEHER4ejvPnzwO423329ddfi7rOpEmTkJ2djdzcXOzfvx//+Mc/UFJSguHDh8NkMiE5ORlpaWnYuHEjTp48iaSkJAQEBGDIkCGeRNstSosCLVW2asD6l7mRIMdocZj9zJwdE4IQMSPlkhmWCwNrHRI4hFhEi6ElS5YgJSUFvXv3RlFRET+yrHbt2laO1UK4ePEinnnmGTRv3hyJiYnw9fXFvn37EBkZCQCYPHkykpOTMW7cOHTs2BGXLl3C1q1bPRq1JiV6EDFyVXh6qEiNgCdf2+4EkVyCSWuWS8v6wZu6Qop0iy2PrJZfy/xqHj3mKg9T9xkhFtFi6IMPPsDy5csxffp0VK36t8tRx44drSZMFMLatWvxn//8B2VlZbh06RLWr1+PVq1a8cdNJhNSU1ORn5+P27dvIzs7G9HR0WKjrHtYrcD0hpR+JN68M6net1RDkvU8pN5W2HgidKQSR5ZoqcxLZb2iIfSEnIh2oM7NzUW7du3s9vv5+eHGjRuSRIpQDq19dSuFEtY/sQ6wtICmejgTNOb/zSLZ264xgiDUQbRlKCoqCseOHbPb/8MPP1hZdQjXqFk5UoOqfYz2DlkX7a58hLSC3M/YaHmW0BaixdBrr72Gl156CevWrQPHcThw4ADmzJmDadOm4bXXXpMjjorCeqVrFFh2nmYhbpRPpYWFdyoHlE+EQQ7XhOhusueffx7l5eWYPHkybt68iSFDhqBhw4ZYuHAhnn76aTniqDvIKsQu7t6NFuafIaRFjfLqTsRQlylBSIsoy1B5eTlWrVqFfv364fz58ygsLERBQQHy8vIwcuRIueKoOHJ+TWndlE7chQVHaqMhV7kkcfs3cjxj87p6SlupyNmaEIMoMVS1alW8+OKLKC0tBQDUq1cPDRo0kCVirKNFUePJxGxKN9ZqruztyeggpdFrt4ca3RRaWkVeq6idX0kQEUIR3U3WuXNnHD16lJ8LyKh4UomyKKBcVVaOJmGTu3Kjbij3qN3A6JWUDSeYLKOeQvnkLs2nTyOfIB2QmJiIzMxMBAUFITEx0WXYDRs2iL6+aDE0btw4vPrqq7h48SI6dOiAGjVqWB1v00af840YAcuh3p5YhKSyImlBEOml0aRGwhq9CSJPkMsfSc611Aj9ExwczC/SHhwcLPn1RYuhwYMHAwAmTJjA7zOZTPxq8uYZqQn2cVQxCek2U6JC04IgkgpqJJTHKHlLTZzVL5TXCU9YuXKlw/+lwqNJFwm2UKty8daSRBBq4E4IkXVIeqh+IKQkNzcX5eXlaNq0qdX+s2fPolq1amjSpInoa4qeZygyMtLlRugbW/Ej5UKRtijZIFHjpw28Ff5kETIm5EhtzeLFixEVFYXq1aujQ4cO2LVrl8vw2dnZ6NChA6pXr4577rkHS5cutQtjXk7Lz88PrVq1wsaNG+WKPpKSkrBnzx67/fv370dSUpJH1xQthr755huH27fffousrCxdWI6ENO5abzxtGxV3aVZjaCyg/eesFGp8eS/MPK74Pb2BhJBwHJV1b+oA6hpjh3Xr1iE5ORnTp0/H0aNH8dBDD6F37964cOGCw/C5ubl4/PHH8dBDD+Ho0aOYNm0aJkyYgPXr1/Nh9u7di8GDB2Po0KH45ZdfMHToUAwaNAj79++XJQ1Hjx5F165d7fZ36dLF4QoZQhDdTTZw4EDeR8gSS7+hBx98EF999RVq167tUaS0gpH8WtTECM9Zq74UCzOPa2KRVq3lH9byg2VcaMJHbZOeno6RI0di1KhRAICMjAxs2bIFS5Yswdy5c+3CL126FI0bN0ZGRgYAoGXLljh06BDeeecdPPnkk/w1evTogalTpwIApk6diuzsbGRkZOCLL76QPA0mkwnXrl2z219cXOyx37Joy1BWVhYeeOABZGVlobi4GMXFxcjKykKnTp3w3XffYefOnbhy5QomTZrkUYQIcbBUYcqJmLWfzGGNZlViqYFamHmcCcuRXucSYuldqwk9h7uUlJRYbea5AG0pKyvD4cOHkZCQYLU/ISHBYbcTcNfqYxu+Z8+eOHToEO7cueMyjLNrestDDz2EuXPnWgmfiooKzJ07Fw8++KBH1xRtGZo4cSKWLVuGuLg4ft+jjz6K6tWrY8yYMTh16hQyMjIwYsQIjyKkNdS0WhhFCFniSOBYPn+jCSBvkWMOFhZEkLe4W4VebZS0zihVz8hpDWN1ConTAc1QMyDI4/OvV5QAACIiIqz2z5gxA6mpqXbh//rrL1RUVCAkJMRqf0hICAoKChzeo6CgwGH48vJy/PXXXwgLC3Maxtk1vWXBggXo1q0bmjdvjoceeggAsGvXLhQXF2P79u0eXVO0Zejf//43goLsX15QUBD++OMPAEDTpk3x119/eRQhFtC7yBDrL8Q6rqxAQhozVhs8LeCqi0wL3Wd6RYo6TOp60OxzxGJ9o3UH67y8PL6npri4mO+ucoZ5vh4zZhcXMeFt94u9pje0atUKv/zyCwYNGoTCwkJcu3YNw4YNQ05ODqKjoz26pmjLUIcOHfDaa6/h008/Rf369QEAly9fxuTJk/HAAw8AuDu8rVGjRh5FSC+YG1i5rEZKCDbLkWMsVmC2uBJEeuwqURspxY4SjRHlA/Eo/WFormeE3FcLdZJSBAUFOTRS2FKvXj34+PjYWWwKCwvtLDtmQkNDHYavWrUq6tat6zKMs2tKQd26dTFw4EDExcWhsrISALB7924AQP/+/UVfT7RlaMWKFcjNzUWjRo1w3333oWnTpmjUqBHOnTuHjz/+GABw/fp1vPnmm6Ijo0eUtjqYhYu3FYXerGNk/SEA8fmAZZ8jNecX8wa91S1awtfXFx06dEBWVpbV/qysLCvXF0tiY2Ptwm/duhUdO3ZEtWrVXIZxdk1v2bx5Mxo3bozY2Fj0798fAwcO5LcnnnjCo2uKtgw1b94cZ86cwZYtW/Dbb7+B4zi0aNECPXr0QJUqd7XVwIEDPYoMIT/OKiJXFRSrpm0pIJH0N2brDKv+FWKRQsRQ/pAeKXyD9FofKUFKSgqGDh2Kjh07IjY2FsuWLcOFCxcwduxYAHdHgl26dAmffvopAGDs2LFYtGgRUlJSMHr0aOzduxcrVqywGiU2ceJEdOvWDfPnz8eAAQPw9ddfY9u2bbylRmrGjx+Pp556Cm+99ZZk1ifRYgi42zfYq1cvxMfHw8/PT7Z+Qa3iqAJVolJ1VUG4OkZfauqjpo+Huy4qsSJpYlIbXThRq4nRy6TUztS0WOvfDB48GFeuXMGsWbOQn5+P6OhobNq0iZ80OT8/32rOoaioKGzatAmvvPIKPvzwQ4SHh+P999/nh9UDQFxcHNauXYs33ngDb775Ju69916sW7cOnTt3liUNhYWFSElJkbQbTrQYqqysxJw5c7B06VL8+eef+O2333DPPffgzTffRJMmTTBy5EjJIscyapvOPaksjF7BEsKQwn+HVedptcutEKic3oW1uZb0xLhx4zBu3DiHxzIzM+32de/eHUeOHHF5zX/84x/4xz/+IUX03PKPf/wDO3bswL333ivZNUWLodmzZ2PVqlVYsGABRo8eze+PiYnBe++9pwsxJLUJVk6rkDtrkLky8bZS0UtXmdyO7Wqh9UYjZ06a7E7UrL9zqd6hnHmBhTqAhTgQ6rJo0SI89dRT2LVrF2JiYnjfJTOWC8kLRbQY+vTTT7Fs2TI8+uijfB8jALRp0wa//vqr6AjoHTkXfRRaKdAX1l0s3wP5gmgTagiNhW3d5ej9U/1mPNasWYMtW7bA398fO3bssBvi74kYEj2a7NKlS7jvvvvs9ldWVvKzUeodMV+YLDS6UlQU1AgRBCEVUtcnQkbQOrM8an2OISPyxhtvYNasWSguLsa5c+eQm5vLb+b5DsUiWgy1bt3a4Qq3//rXv9CuXTuPIqEHLJeAYMUcT19L2oHEprRIVQZZHlqvJ4TkfynKCAkffVBWVobBgwfzI9ilQPSVZsyYgfHjx2P+/PmorKzEhg0bMHr0aKSlpeGtt96SLGKsIrRipEqUIAi5sf3gkfsDSMrri+nml/JjwVIQkTjSJsOHD8e6deskvaZon6F+/fph3bp1SEtLg8lkwltvvYX27dvj22+/RY8ePSSNnFaw7QpjyTokFXpxoCa0i57zn1GtuGr5+5AI0jYVFRVYsGABtmzZgjZt2tg5UKenp4u+pkfzDPXs2RM9e/b05FRCo+i5ISIId8g5EALQlhOw0A8jR2ly5gBNEGI4ceIE75Zz8uRJq2OeznvokRgi/sZVBcmC87RUkGWIIJSHVZFE9QGhJp6uTO8KQWKodu3agtXWf//7X68iRMgDq5UqQQDUbeEKvZRdEk8EywhyoM7IyMB7772H9957D2+88QaAu11lqampSE1N5bvMvFmcde7cuTCZTEhOTub3cRyH1NRUhIeHw9/fH/Hx8Th16pTH9xCKHioeS6gSIgj2sXUUtv2ftXKst3qSMDaCLEPDhw/n/3/yyScxa9YsjB8/nt83YcIELFq0CNu2bcMrr7wiOhIHDx7EsmXL0KaN9RT+CxYsQHp6OjIzM9GsWTPMnj0bPXr0QE5ODgIDA0XfhyAIwlPk9hsyI0b0sCaQ1EYvVjRCeUQPrd+yZQt69eplt79nz57Ytm2b6Ahcv34dzz77LJYvX47atWvz+zmOQ0ZGBqZPn47ExERER0dj1apVuHnzJtasWSP6PkrCykgyqigJKaGuLPWhMk0Q8iBaDNWtWxcbN2602//VV1+hbt26oiPw0ksvoU+fPnjssces9ufm5qKgoAAJCQn8Pj8/P3Tv3h179uxxer3S0lKUlJRYbVJi+2XIivBxBlWeBGEM1LCIkBWG0AuiR5PNnDkTI0eOxI4dOxAbGwsA2LdvHzZv3oyPP/5Y1LXWrl2LI0eO4ODBg3bHCgoKAAAhISFW+0NCQnD+/Hmn15w7dy5mzpwp6P56M6ma0yKXALIdQUIjSgiCEALVEwTriLYMJSUlYc+ePahVqxY2bNiA9evXIzg4GD///DOSkpIEXycvLw8TJ07E559/jurVqzsNZzuKjeM4lyPbpk6diuLiYn7Ly8sTHCcpYMFSJKfA05N4JLQDNaYEQciJR/MMde7cGatXr/bqxocPH0ZhYSE6dOjA76uoqMDOnTuxaNEi5OTkALhrIQoLC+PDFBYW2lmLLPHz84Ofn59XcQOcWz0ciR2lHCvFQFYbgjAWerN0E4SSCLIMifW7uXbtmtswjz76KE6cOIFjx47xW8eOHfHss8/i2LFjuOeeexAaGoqsrCz+nLKyMmRnZyMuLk5UfFwhpWBgwSrEEtE3z1DlrDPIiZqwxV0ZV/qjjD4CCU8QPOlifn4+GjRoIOiiDRs25AWNMwIDAxEdHW21r0aNGqhbty6/Pzk5GWlpaWjatCmaNm2KtLQ0BAQEYMiQIYLi4Q4prSdGEkIkcIxN8+nTkDMnTbH7iSmjeiqHznwAHVmAWC2TJEwIrSBIDHEch48//hg1a9YUdNE7d+54FSkzkydPxq1btzBu3DgUFRWhc+fO2Lp1K80xpAFYrZwJaZBSEGnJ2qREl7gjoeNMVFA5IwhpECSGGjdujOXLlwu+aGhoqN0qskLYsWOH1W+TycTPcq00Wv+isY2/XJUm+SZJh9Z8PpS2EBkBLb1/ltFaWSLUR5AYOnfunMzRUA9zY04FhyAIVqGPDoKQF1q1XibUGF3mbWUphyikCpxwhtTdY1r3FxJT9ugDjiCkRfQ8Q4Q2ceSEKSScEBxVyiSCCEI+SAgRhLSQGPofRmq8lUqrkZ4pQXgDiRuCUBfDd5M5arC9acRZm3zREqHpcmSCt3SU1dLoH4LQGyScCEJ6yDIkISwLISlxNILICBU0TSJpDwlj7xCbpyj/EYQ8eCSGdu3aheeeew6xsbG4dOkSAOCzzz7D7t27JY2c0pwMaGnYrh2x6TbykGo5GySj5j9XCBUM6Ykxmvkg8URYkxAiCPkQLYbWr1+Pnj17wt/fH0ePHkVpaSmAu0twpKUZt4FUEiUsFLbCUKgFgKwnBEEQhNYQLYZmz56NpUuXYvny5VYTK8bFxeHIkSOSRo5FxHx5pmw4IflwX5aERs6cNN1aiFh6zgBZjMQgp3XIm2ub8xRreYsgCA/EUE5ODrp162a3PygoCFevXpUiTooiVcWkhHlerkrUVUPr7NjCzON2+/RSyavdaLma9sCTd6UXxLwPVrvL9FJGCEJviBZDYWFh+P333+3279692+XCrIR3OKpEle6Ssuwqm5jURrH7KgmLjZWjOaIcbWqhpBM1i++HIAjtI1oMvfDCC5g4cSL2798Pk8mE//znP1i9ejUmTZqEcePGyRFHTaDm7LfUQCiDkqLDfB81RQ6rliah+Z0l6xCVUYJgG9FiaPLkyRg4cCAefvhhXL9+Hd26dcOoUaPwwgsvYPz48XLEkTnEVLIsVciOENLgWYoAIVYAsY2o2cJl2WCw3HgYYdJKVoWQGZbzhy1aiqsnsJpXWPigILSDR5MuzpkzB9OnT8fp06dRWVmJVq1aoWbNmlLHzdB4MuxWbKFnsZJgbUFK1uKjNLQG1t+w/mFD2GPkskuIw+NJFwMCAtCxY0d06tSJhJATPKk8vfEDktuHSIx1SCisN7RGrEwt0yz0/YjNEzRZoz7QSvnQSjwJ9RBkGUpMTBR8wQ0bNngcGTXQYyFR25ohxf3Vir8e84MYjJ5+giCMiSDLUHBwML8FBQXhxx9/xKFDh/jjhw8fxo8//ojg4GDZImoEWLeSSIVR0qllPLEyKmntUUK0WVp2Pe0io7xOENpAkGVo5cqV/P9TpkzBoEGDsHTpUvj4+AAAKioqMG7cOAQFBckTS4I5mk+f5vWEi942FObzyZohDVp5jkrGMz0xRtWRogRBKINon6FPPvkEkyZN4oUQAPj4+CAlJQWffPKJpJEj2Ib8Pghb9JgnyHGaIPSPaDFUXl6OM2fsv+jPnDmDyspKSSKlVbz5gjSSOd3dl73QZ6HmZIN6e19kFSIIwsiIHlr//PPPY8SIEfj999/RpUsXAMC+ffswb948PP/885JHUG7UdjYmtIWjuZC0mH/cDZlXekh9zpw0XVqV9IwW8z1BOEO0GHrnnXcQGhqK9957D/n5+QDuLtExefJkvPrqq5JHkFWk9CXQkpXBtpH0tAHTUprNOIszS4JajIhRSxDZ5hmz75k7QaTUM6ZuMYIwHqLFUJUqVTB58mRMnjwZJSUlAECO04TksCQwCIIgCH3j8aSLwF0RZFQh5MwqRCNP9ItexJllOtRe5NUSFrrJpLQKadH6KQatpY+VfE6wiWgxFBUVhXvuucfppjXkKCB6F0RGrlSMlnY50uvtlAwEQRBSI7qbLDk52er3nTt3cPToUWzevBmvvfaaVPEiDIaWHGhpvS7xmN+trRCSWxiJ8e0jXyGCMC6ixdDEiRMd7v/www+tZqU2OikbTqhauWrJ50YPlgKpnrelyNLK+3OHEJGrFSFsNIwm/E8GtETja9SOGRGvfIYs6d27N9avXy/V5QjG0UtDLSXmJSw8XTBXjkbH9j0p/d60tKiv3ru3PYW1si73ezod0EzW6xNsItoy5Iz/+7//Q506daS6HGEQ9GAVcoZt4+2qUXHU0EtlbVLr654FixAJHGkw50O1LZf0Pgm5EG0ZateuHdq3b89v7dq1Q1hYGKZNm4Zp08jUbYmRC66rxtfZMUthpGRFK9aS46mwcCZ49NYNYeQuL729S4IwCqLF0IABA6y2xMREzJgxAydPnsSYMWNEXWvJkiVo06YNP0Q/NjYWP/zwA3+c4zikpqYiPDwc/v7+iI+Px6lTp8RGGQCZPgn7bizbhsvR7NJyx0eKMHKeLxdKWQSV9NtTOv+ogXkqBk8/VlI2nLDaxJ7rLY7izVo3ICsUFRVh6NChCA4ORnBwMIYOHYqrV686DX/nzh1MmTIFMTExqFGjBsLDwzFs2DD85z//sQoXHx8Pk8lktT399NMyp8Y9orvJUlNTJbt5o0aNMG/ePNx3330AgFWrVmHAgAE4evQoWrdujQULFiA9PR2ZmZlo1qwZZs+ejR49eiAnJweBgYGSxMHTrgipZqDWcqXprvvF0XIVrKXXmSByFmdvK0410s9qF5leYS2Ps4JUlnIpBa7RHMTFMGTIEFy8eBGbN28GAIwZMwZDhw7Ft99+6zD8zZs3ceTIEbz55pto27YtioqKkJycjP79+9sNrho9ejRmzZrF//b395cvIQIRLYZ8fHyQn5+PBg0aWO2/cuUKGjRogIqKCsHX6tevn9XvOXPmYMmSJdi3bx9atWqFjIwMTJ8+HYmJiQDuiqWQkBCsWbMGL7zwgtioEzIgpjKRo9IRKmal6tqiilM6tDSdghCoYXUOi0KIcM6ZM2ewefNm7Nu3D507dwYALF++HLGxscjJyUHz5s3tzgkODkZWVpbVvg8++ACdOnXChQsX0LhxY35/QEAAQkND5U2ESER3k3Ec53B/aWkpfH19PY5IRUUF1q5dixs3biA2Nha5ubkoKChAQkICH8bPzw/du3fHnj17nF6ntLQUJSUlVptSpCfGGLKwujOdszKySkv39wYjmf2FvCcxZdLIfn62SJWPnD1TsXWlVHWrt119LGLb5pWWlnp1vb179yI4OJgXQgDQpUsXBAcHu2x/bSkuLobJZEKtWrWs9q9evRr16tVD69atMWnSJFy7ds2r+EqBYMvQ+++/DwAwmUz4+OOPUbNmTf5YRUUFdu7ciRYtWoiOwIkTJxAbG4vbt2+jZs2a2LhxI1q1asU/8JCQEKvwISEhOH/+vNPrzZ07FzNnznR4zNmXmxRdZUYUQWLQsrggpKP59GmS+QuZ85SUc2pROZYWqcSlXPO2qV0vTfvmNKr61/D4/PJbNwAAERERVvtnzJjhlUtLQUGBXe8PADRo0AAFBQWCrnH79m28/vrrGDJkiNWyXc8++yyioqIQGhqKkydPYurUqfjll1/srEpKI1gMvffeewDuWoaWLl0KHx8f/pivry+aNGmCpUuXio5A8+bNcezYMVy9ehXr16/H8OHDkZ2dzR83mUxW4TmOs9tnydSpU5GSksL/LikpscsotnhTkToqoFKuaK8HHA3LdYRllwkLX21qV5SEPWbhI9aPi8okoWfy8vKsBIefn5/DcKmpqU6NBWYOHjwIwL7tBdy3v2bu3LmDp59+GpWVlVi8eLHVsdGjR/P/R0dHo2nTpujYsSOOHDmC9u3bu722XAgWQ7m5uQCAhx9+GBs2bEDt2rUliYCvry/vQN2xY0ccPHgQCxcuxJQpUwDcVahhYWF8+MLCQjtrkSV+fn5OM4KSCPmKkbuxVWMWarF+E3ryGWEJy/dg/p8FgQlIax0SgztBRFYhaZFSfNK7cY3QRdPHjx/vduRWkyZNcPz4cfz55592xy5fvuyy/QXuCqFBgwYhNzcXP/30k9t4tW/fHtWqVcPZs2dVFUOifYa2b98umRByBMdxKC0t5c1olqazsrIyZGdnIy4uzuPrs9IgKAVL1g2hz17sO3KXRpaegSd4Gn9Lvwg95XtvnNqd+fVJ6Y9CSIMnw+8J19SrVw8tWrRwuVWvXh2xsbEoLi7GgQMH+HP379+P4uJil+2vWQidPXsW27ZtQ926dd3G6dSpU7hz546V0UMNBFmGUlJS8Pbbb6NGjRpWXVCOSE9PF3zzadOmoXfv3oiIiMC1a9ewdu1a7NixA5s3b4bJZEJycjLS0tLQtGlTNG3aFGlpaQgICMCQIUME34NQF6UaB5YsH4Rw9DaiTC+wVJaUWueRpTSrTcuWLdGrVy+MHj0aH330EYC7Q+v79u1rNZKsRYsWmDt3Lp544gmUl5fjH//4B44cOYLvvvsOFRUVvH9RnTp14Ovri3//+99YvXo1Hn/8cdSrVw+nT5/Gq6++inbt2qFr166qpNWMIDF09OhR3LlzBwBw5MgRQX2GQvjzzz8xdOhQ5OfnIzg4GG3atMHmzZvRo0cPAMDkyZNx69YtjBs3DkVFRejcuTO2bt0q2RxDABUAOXD0TM1ixZ3/EL0Px+hV7LEghKgLhj2UGJiidYux3KxevRoTJkzgR3T3798fixYtsgqTk5OD4uJiAMDFixfxzTffAADuv/9+q3Dbt29HfHw8fH198eOPP2LhwoW4fv06IiIi0KdPH8yYMcPKD1kNBImh7du38//v2LFDspuvWLHC5XGTyYTU1FRJJ3ok1EPqBt1olZlagkiO+XNYEEEEOziy/pBIVZc6derg888/dxnGcqqdJk2aOJ16x0xERITVACmWEO0zNGLECIdzAty4cQMjRoyQJFJyw4IfhZEaciFplWLeDyM9U+Jv9Ggx0zuuhI67bjEhfkTka0SIRbQYWrVqFW7dumW3/9atW/j0008liZQSUAXKBnqb/IzQBubGlqwP7CDEYZpEDiEXgsVQSUkJiouLwXEcrl27ZjXbZVFRETZt2uRwkiaCcIRcIshyIj6yFEmHHgUrCSHHKPGuLUWNXAKHhBMhBsFiqFatWqhTpw5MJhOaNWuG2rVr81u9evUwYsQIvPTSS3LGldAoSjekJIKMhdrv21J4qx0XVvBWiJCFiFAawZMubt++HRzH4ZFHHsH69etRp04d/pivry8iIyMRHh4uSyQJfUDO09pG6EziesfSkd3oz8IbSNAQLCFYDHXv3h3A3ZmoIyIiUKWKaHcjwsCo1c2i9cbKdiZpQl1crYem9bwGSJPH5FyPzHIWcXeO1tQNSohBsBgyExkZCQC4efMmLly4gLKyMqvjbdq0kSZmOkeO4cqEfrBslFgTQSzmXTWmHWDtGRgRS+FF4ofwBtFi6PLly3j++efxww8/ODxeUVHhdaQIgiAIZWHJKiQWb4UQax8chPKI7utKTk5GUVER9u3bB39/f2zevBmrVq1C06ZN+dknCXbQWiEXMgqMvsgJR1C+IMRgHtGqtTqSkAfRlqGffvoJX3/9NR544AFUqVIFkZGR6NGjB4KCgjB37lz06dNHjngSBADjNHhaWn6DxW4zQhxayWtCUGotM0JfiLYM3bhxg59PqE6dOrh8+TIAICYmBkeOHJE2doShoAZVO7Awi7sjKA+JR6p3yMroMBJChCeIFkPNmzdHTk4OgLuLsX300Ue4dOkSli5dirCwMMkjSBBmqKFjC5advAmCIMTgkc9Qfn4+AGDGjBnYvHkzGjdujPfffx9paWmSR5DwDhIQhNLoVSRRWSII/SLaZ+jZZ5/l/2/Xrh3OnTuHX3/9FY0bN0a9evUkjRxBANQIaRFWFkGWIh6U//SJlvzyCPnxeubEgIAAtG/fnoQQ4RXOGhxqiJTDW58PalgIJSCfIEIOBFmGUlJSBF8wPT3d48gQBKEOlrP6An/P9Cu24WFNEHn79a93MS7l+7KcHVoLsJZXCXURJIaOHj0q6GImk8mryBAEoSzOGi8tNWoEQRDeIkgMbd++Xe54EAQPfbEpAwkeY0PljCD+hlZbJQjCKUYWTHruItOTECIfIkIKRI8mIwil0HNjpDZKihyaoVodnD13PQghEkCE1JAYUhGtNBKOGk6qjLSLka09QtFCuXSFHgQPQSgJdZOpDOuVlhIOtlLPC0M4JmXDCd0KoZw5aciZI82kr1oXQgRBiIfEEOEUdw2nnA0rNUjS4s270quA8hYpBZiUuJoBXEsfG2R9JpSExBDBFCSCpIfEjPTIJYLkElgnA1pqSggRhNKQzxChOra+UySIvMdoAqj59GleX8PTfJczJ02S+8sFiSCCcA9ZhgyAJ5W8kMaUzNhsYjQhpEc8tQ6pKXykzHdUtxBKQ2KIIAi3kMAiCELPUDcZoTrULWaPp1/4JFo8g5U8yHJ3G0HoGbIMqQwrlbAl1KBqE3pvysDiCDJAX75Bco9Uta13WayHCWUhMUR4BPXps4USQkivYosaQuNgO1DDUhhRPjA2qoqhuXPn4oEHHkBgYCAaNGiAgQMHIicnxyoMx3FITU1FeHg4/P39ER8fj1OnTqkUYwIgISQ3Yr/wtSRS9GS9ILSDI2sQQViiqhjKzs7GSy+9hH379iErKwvl5eVISEjAjRs3+DALFixAeno6Fi1ahIMHDyI0NBQ9evTAtWvXVIy59pCqIpBaCFEF5R1aEUI0zw1BECyjqhjavHkzkpKS0Lp1a7Rt2xYrV67EhQsXcPjwYQB3rUIZGRmYPn06EhMTER0djVWrVuHmzZtYs2aNmlHXLa4aV7IIEVKgdVHEopOz1p8pK9DHmXFhymeouLgYAFCnTh0AQG5uLgoKCpCQkMCH8fPzQ/fu3bFnzx6H1ygtLUVJSYnVRgiDhJD6iGnU1LAKacUSRRgXS18gEjeEUJgRQxzHISUlBQ8++CCio6MBAAUFBQCAkJAQq7AhISH8MVvmzp2L4OBgfouIiJA34jpBjUaOKiqC8B6yCrmG6hlCCMzMMzR+/HgcP34cu3fvtjtmMpmsfnMcZ7fPzNSpU5GSksL/LikpIUFEGIqdKz5xeqzbyBEKxsQ5lg04NVbaR8sWQ9vlgAhjwoQYevnll/HNN99g586daNSoEb8/NDQUwF0LUVhYGL+/sLDQzlpkxs/PD35+fvJGmPAarVY+YuaYUcO3xJUQsj3OkjCSMz9E3zwjq/WERR8iLZCeGMOkiGp18ze1o0CogKrdZBzHYfz48diwYQN++uknREVFWR2PiopCaGgosrKy+H1lZWXIzs5GXFyc0tHVNK4aAyUqJFbn83C0Srh5n+0xsZPtyTk5n6N35k4IeRtey8iV50gIeYbZB1EOX0QxwtcclroaCVUtQy+99BLWrFmDr7/+GoGBgbwfUHBwMPz9/WEymZCcnIy0tDQ0bdoUTZs2RVpaGgICAjBkyBA1oy4JLIgCpYSQo//VRqjQ8UbUsL6iuZGQykIkNj84uydLZUFNWLEQUXeZsVHVMrRkyRIUFxcjPj4eYWFh/LZu3To+zOTJk5GcnIxx48ahY8eOuHTpErZu3YrAwEAVY24svPl6Y7VyUXJJBSXupZaVh4VGTAxS5EezuPVW5HoizFhdCoQ1yNJDiEX1bjJHW1JSEh/GZDIhNTUV+fn5uH37NrKzs/nRZoQwqGKwRo0GRcp7SilAHIkoscJKa4LIEk/FEVn7PIem6SBYhJmh9YTyyN2IsWoVcoUWGzlvrUJCzk9PjOEbMXO+0bIIYgUxM3OzahViNR+4e67mbjFLf8aTAS1xOqCZEtEjGMNwYsjSidebybmMMqGXq684I6RfSqRozORqeHau+ITf1IyHEFgVBd7gqfWWrL7GqYsJeTGcGBKDkALmaSFUqvB6U1l6KoS0WjlJ5QviDa6emzMBosYQebW6OsxCyPKvp+KItTzqrqyyaLWUShRbWh7Nv10h5CPW3fu1Pc5afiCUhYl5hpREii8prRQaJb4abUfoaOXZEM5xJK4cNXrmUUBKCSNHUyDoDXNZclaOWBREYnCXV4TkJbnnpNqHhrJdn2AXw4khW9wNpzRqY69nJ0etNyhqI+YL3hGWZUjocGYphY8WyrCQ52LELjJvLEFCoUkXjQl1k8GxE6Pt3DiuTLIsdgvJ1T0GOK90WHsGRoKV2aTVgmUrkaflwohixxVUvxByYmgxJHVlQ4VVP7BmPWJlxI6eLYaswUp9wkLeY+VZEPrFsGJIyLBLT/F0hBoLeNrtocW0agkh70WP1iFvHKQJtiAhTbCMYcSQUv3ALIxQIPO6dLizEC3MPM5vQtBywy5FY0aimSAIFjGMGGIJVhsE+nKzRogQYg2tWYdYLQuA9FYpKdPKwgePeSSh3PWGFM+NhedFsA2JIQu8mYTR3XUJ/TExqY3aUSAI2XEkdixnIWfBp8gdVAeLp6ioCEOHDkVwcDCCg4MxdOhQXL161eU5SUlJMJlMVluXLl2swpSWluLll19GvXr1UKNGDfTv3x8XL16UMSXCIDH0P5QqLHLfR+gXkG0FRlYh7xAqjJRwzPbGOqQ1y5KWIOuEeEjEqMeQIUNw7NgxbN68GZs3b8axY8cwdOhQt+f16tUL+fn5/LZp0yar48nJydi4cSPWrl2L3bt34/r16+jbty8qKirkSoogDD/PkJKwIoRsESOEjFY5uesmUdI6ZJ7kUAjdRo5QbSV7qWDBv0oq8Wo7X5k3sCCqxORF+tDSHmfOnMHmzZuxb98+dO7cGQCwfPlyxMbGIicnB82bN3d6rp+fH0JDQx0eKy4uxooVK/DZZ5/hscceAwB8/vnniIiIwLZt29CzZ0/pEyMQsgwpBKtCyAjo6dmIaVi6jRwhytLjKqxeGzRXgktuK54agy1s3QDkuqfZl0iv+YY1SkpKrLbS0lKvrrd3714EBwfzQggAunTpguDgYOzZs8fluTt27ECDBg3QrFkzjB49GoWFhfyxw4cP486dO0hISOD3hYeHIzo62u115YYsQzpAT429XLhb5kAJ1Jq7SA9WIiHkzEljbn4oS6SwDklZ1i0FkXnGa5bqEiNYoX/+7DOYfHw9Pp+rKAMAREREWO2fMWMGUlNTPb5uQUEBGjRoYLe/QYMGKCgocHpe79698dRTTyEyMhK5ubl488038cgjj+Dw4cPw8/NDQUEBfH19Ubt2bavzQkJCXF5XCcgyBGMUOmfo7cvNPJu45ebouJbx5J0JsRCJWbXeE9QqZ47WNDPvU1o8ebIUiZQ4KxdSx8PSwZqQn7y8PBQXF/Pb1KlTHYZLTU21c3C23Q4dOgQAMJlMdudzHOdwv5nBgwejT58+iI6ORr9+/fDDDz/gt99+w/fff+8y/u6uqwQkhgjCIBjZOZoF/yMznnaPKbXwslSQEFKOoKAgq83Pz89huPHjx+PMmTMut+joaISGhuLPP/+0O//y5csICQkRHK+wsDBERkbi7NmzAIDQ0FCUlZWhqKjIKlxhYaGo68qB4cWQka1ChGvUaECFNnieWvSMLIgA63fKskCS+tpyWX68xVHcaEZ7+ahXrx5atGjhcqtevTpiY2NRXFyMAwcO8Ofu378fxcXFiIuLE3y/K1euIC8vD2FhYQCADh06oFq1asjKyuLD5Ofn4+TJk6KuKweGF0NGRK9fbJ58OQs5p/n0aUz6osgliOToKmOhcWNJ/BDWsJA/iL9p2bIlevXqhdGjR2Pfvn3Yt28fRo8ejb59+1qNJGvRogU2btwIALh+/TomTZqEvXv34ty5c9ixYwf69euHevXq4YknngAABAcHY+TIkXj11Vfx448/4ujRo3juuecQExPDjy5TC8OIodMBzdSOAnPoyV9Iji4EKUWQXGKKLETWOPIPEhNeKRw1/lr3ZRMLCSC2Wb16NWJiYpCQkICEhAS0adMGn332mVWYnJwcFBcXAwB8fHxw4sQJDBgwAM2aNcPw4cPRrFkz7N27F4GBgfw57733HgYOHIhBgwaha9euCAgIwLfffgsfHx9F02cLjSbTOEarQB2h1DOwFDQsWRnEzPlCsImjPGzpYO0sj5uXxBB7bVYhgcQOderUweeff+4yDMdx/P/+/v7YsmWL2+tWr14dH3zwAT744AOv4yglhrEMsQZLjamWkaKi9+QaYiw9SnSxyTXCTApYGUXmbTjiLmKEtxYndKVeBGNieDGkxleTufLVWiXMSmUlJd6kyZ3I8aSbzZv4yNXtqbXuVKkXWJUTd1M9CJkKglWroNbyDWFsDC+G1IRFp1wtIZWQ1ZPIY3HWXy110yiNN3mPVREEaFcIUV41LiSGVEIKIUQFV32cvUe1ha5WGyOjIHXZ9UQYyTEBKYtiXChUnxobcqBWGEfmezVmw1WjwpJyuQSWKi61hY8zPHWs1utIM1aQa2kYIc7UtjNgS4lW/INYqjsIdiDLEGMo4eug1S83QrvoYRkUlnAmcsWIX2eCxBOhopU6hfIg4QyyDCmMEKdbWxx9SRq5UOs97awtmMkyCzOPY2JSG7Wj4RGerE0mtZ+QGhYaPfnoEfrBMJahad+cVjsKTnE16siyUXS2yKISsFKBkUgQh7svdtsuMbm7yOR4fwszj0t+TaUQ8zwcCSFbHx1X75uVMkwQLGIYMQSwPfrCCIjxrXE2CR2hfYSKenf5RUoRpNRQfMs0syxOxMRNK11kQmH5w5mQD1XF0M6dO9GvXz+Eh4fDZDLhq6++sjrOcRxSU1MRHh4Of39/xMfH49SpU+pElrBDSXFCQkg+zNYgR1YhvTV0rtDK3ERahnXHafpgNi6qiqEbN26gbdu2WLRokcPjCxYsQHp6OhYtWoSDBw8iNDQUPXr0wLVr12SJD2sNLivxcVWByRFHVtJtJNQaQebNu5bDV0irgkgt0aonsUxCyNioKoZ69+6N2bNnIzEx0e4Yx3HIyMjA9OnTkZiYiOjoaKxatQo3b97EmjVrZIsTNcTsoKaPFKEc3r5fqUWREoLI/IEhpaWEdWHCcrcgQTA7miw3NxcFBQVISEjg9/n5+aF79+7Ys2cPXnjhBcXjpOR8QEIaCCVGHQmpwOSaN0VObJ8ba3FnYUSZko2rs5FVzadPcylOtDqSTA+wLr7cQZYgwhJmHagLCgoAACEhIVb7Q0JC+GOOKC0tRUlJidXmDrUbHRaIvnmG3yx/K42c70Lp7j5CHM7eAauTWioJSw23JyKIhY8NFuJAsAuzYsiMyWSy+s1xnN0+S+bOnYvg4GB+i4iIEHQf2yHsjvBk4U1PEGoVMv+VupDrtdJw91xJEKmPUQSRkfKaXusTQl8wK4ZCQ0MBwM4KVFhYaGctsmTq1KkoLi7mt7y8PP6YmC8aI1VWhD1qv3+1768mRk67LSkbTqhmFXIlYoTWpSwLIa138xHSwqwYioqKQmhoKLKysvh9ZWVlyM7ORlxcnNPz/Pz8EBQUZLXpDUcVDMuVjlC8bQSlXF4AoEaZNfRoHVIqj+mhfiAIOVFVDF2/fh3Hjh3DsWPHANx1mj527BguXLgAk8mE5ORkpKWlYePGjTh58iSSkpIQEBCAIUOGqBltWXFVOQrtEhPbdaZ0RSl1A2Dr6+QtehNB9AVMqAGLAsw2TlQ2CDOqjiY7dOgQHn74Yf53SkoKAGD48OHIzMzE5MmTcevWLYwbNw5FRUXo3Lkztm7disDAQNH3SuvfSrJ4s4zak5oJFWtyxsFTWKy81ULtRsKTdbsIdtYvpHdHaA1VxVB8fDw4jnN63GQyITU1FampqcpFSiO4ayzEVIQsNDysWmNYeDZSYyl0UjacUF34EPKidP7VW3khjAGzPkNKwdJwa2f3c9TtpYUKR4nnJ/Q5aOF5yYkzwUNCiDAarrrK0hNjDNOLQFhjeDEE6KOh9FZ4eHI+S0KS0B+O8pDUTtQsr3gvdhSZHB9MYq+h1bo0PTGGPgwMjqHFEKsFl6UJ1vQALelxF6rs7dHzDNZS5XlW60mCkBJDiyFL1JpxWW/YCg9a2Z4wElLlQW+tQlKj9sAIgpAbZtcmkxtXc9KoudaWlqxCYmbKFhpOTUGjR2dpPeJuvTIj4cgBXq58bFs3iimr7t6X3uaQIrQHWYYYQc+Tr4lJm1TzI3lq6dO7dYm6yrSLJzPouysDOXPSRAlLZ3N6ubqPkOuLjYdQHJVn+ughHEFiiDG8ceTzZmSVXF+Scl1b77D+zJSKnzN/Lz1bEhxZh811AmtiVojYIggtQGLIBVqyErDeeMqBK98kcpqWDyOIXLGNuGV+c5bv5MyP7u7tDm9Ei5T5wGwhksJS5OiZePucCP1iWDHEUmGQIy5iuom03Kg5Ej16c4Y3p0fudOnpmSmJkPIrZRl3Zh1iqU5jDfo4ItxhWDEkFLULkFwNlF4bPjnSZYRlDYRae9TKN2qXQ9YQ2l2m5nOToovMUwsR5RdCLCSGVEbuQqtX0WMElBZCntyX8pe0aGk0KQs4c5AmCLEYdmi9IzwZKqpnR05v8WTUhhozabOM3tKjN1z5B7EwXQRBEMIgy5AbHDXmlmZbb0zBlsNfyReEXej5/Q1LDbuaHyJCfFCU8lNxZU2ivEsQwiAx9D9YqOSp4iJsUStPUFeZtvC2e00LFm5HH562eY+FepzQJiSGnKC3EUnOYCmNVJEpj1EW4vQEI8yRowURBHj3LsgPixACiSGo0whLuZSFp/cyUsPmDSTS3KPHvKQVoQCwNxkjIM/zcySKqHwSUmBoMeSsT9/bqeUJQipYqeiFWEr1KIi0gLdCSE7Rp5SgpHmECG8xtBgSg7P5LqQs7EoUZinv4UnjSGJSe4j1HyJRJD/U9SMcFq1mBHuQGBKA3A24s1mUpbo2QThCTkuPUpNfymV5YL2LzFkDr3WRtDDzOP/X/L87SHwTUkBiyAZHBYv1ipFFnFVQ9Cy1BWuCSM84EzJGs2wszDyOiUltMDGpjeBzKK8R3kJi6H+QeZ9wBatO9gQJ7JQNJ/jNFiF5SG7Lt1LvR6r6e9o3pyW5DqEtSAxB+a8KdxWUs/hIuaIz6zir3AlpUGupD7nQuiBSK6+b6xFP6xNzFz8Jd0LrkBgiCIJgFKN1kQlBzg9B+gAzLiSGBKL1L08W8KQSY6FyUqsL1XxfrXfhai3u7so6WUHUhepiQg5IDBFe4aih0/o8TXoRIXrElRChRtI7S5KcZVMLfkMsfHgR6kFiiDGEFmZPKxcWGnchla5lpa5kJcXC89EjJCylRWiZkPOZ68lCRkKIIDHkAUKEiCsnZyUbBWqACG+xzcssO/Br0TrkqCFOT4xxaOUxQqMtZkg9QUgFiSERNJ8+TXBlKyYs4R49NAJ6GHWjlAhy9b61/gy9wSyQhHaHiXlWzuorJfOtWkLImfgkjAOJIQ+RQuw4strIWemQlcg1Sj0fLTXmrsSP3MKIxekVpH53aqdPqg82VqZQ8Pb9kCAyLiSGHKBkY6VEJaK034Cz50eWsr9hfX4WR11hLHWN6cGR2tsZp83WDCkacE+eGWsfV1KVpbT+rSS5DqEtNCGGFi9ejKioKFSvXh0dOnTArl27ZLuXuUBJ2Uix0IiwUnF501Cp/RVtRmoB40oUaUE0icGTfMjKe5cSNdIkJg95mu/Uyqeslg8tU1RUhKFDhyI4OBjBwcEYOnQorl696vIck8nkcPvnP//Jh4mPj7c7/vTTT8ucGvdUVTsC7li3bh2Sk5OxePFidO3aFR999BF69+6N06dPo3HjxpLeS64CJcWXKguCypKTAS2dDqt39BwdWRm08gXvDmfPwvKYkLxlGUboOZ7gTpCwltec4eq5swqLIshdOZTqGZvvo5X8ZXSGDBmCixcvYvPmzQCAMWPGYOjQofj222+dnpOfn2/1+4cffsDIkSPx5JNPWu0fPXo0Zs2axf/29/eXMOaewbxlKD09HSNHjsSoUaPQsmVLZGRkICIiAkuWLJHsHix/ebOIO+uZ0MrT3agkW/O/7XB7NRsW27Q7ykPeWBkpPwqDnpP0CH2mluHUrkO1JopZ58yZM9i8eTM+/vhjxMbGIjY2FsuXL8d3332HnJwcp+eFhoZabV9//TUefvhh3HPPPVbhAgICrMIFBwfLnSS3MC2GysrKcPjwYSQkJFjtT0hIwJ49e1SKlXSoXYF4gtLxZdmh0ZkA0uJ79Qb60heG3OJdSFkRmy+dDfLwNH9TXtEGe/fuRXBwMDp37szv69KlC4KDgwW3vX/++Se+//57jBw50u7Y6tWrUa9ePbRu3RqTJk3CtWvXJIu7pzDdTfbXX3+hoqICISEhVvtDQkJQUFDg8JzS0lKUlpbyv4uLiwEAN66Lf9glN2+IPkco1ytKRN33etkd/v+mkyah5Jp8cXPG6YBmwDXn8QacPzPL+Nud87+0NL526O49bCi/dff4dYt7m/dNWL1PlMNjq5u/ObwHYB13c5hWN3+zCuPqvWmBVjd/g7sUuHpXzhCTH4U8Q/P7NePqPbsrL2JxlRYhcZ/2zWmruIpdBf26mzLmiPJbNwSftw8N7fK1GdsybvtsvakDAO/ei7t6T6qyaW4rOI6T5HouqbgDr+5Scfd5lpRYp93Pzw9+fn4eX7agoAANGjSw29+gQQOnba8tq1atQmBgIBITE632P/vss4iKikJoaChOnjyJqVOn4pdffkFWVpbH8ZUEjmEuXbrEAeD27NljtX/27Nlc8+bNHZ4zY8YMDgBttNFGG220ebzl5eXJ1rbdunWLCw0NlSSeNWvWtNs3Y8YMj9vHgwcPcnPmzOGaNWtmd/59993HzZ07V1Aamzdvzo0fP95tuEOHDnEAuMOHDwu6rlwwbRmqV68efHx87JRoYWGhnbXIzNSpU5GSksL/vnr1KiIjI3HhwgUm+iWlpKSkBBEREcjLy0NQUJDa0ZEcPaeP0qZN9Jw2QN/pE5o2juNw7do1hIeHyxaX6tWrIzc3F2VlZV5fi+M4mEwmq33OrELjx493O3KrSZMmOH78OP7880+7Y5cvX3ba9lqya9cu5OTkYN26dW7Dtm/fHtWqVcPZs2fRvn17t+Hlgmkx5Ovriw4dOiArKwtPPPEEvz8rKwsDBgxweI4z82BwcLDuCreZoKAg3aYN0Hf6KG3aRM9pA/SdPiFpU+LDuXr16qhevbrs97GkXr16qFevnttwsbGxKC4uxoEDB9CpUycAwP79+1FcXIy4uDi3569YsQIdOnRA27Zt3YY9deoU7ty5g7CwMPcJkBGmHagBICUlBR9//DE++eQTnDlzBq+88gouXLiAsWPHqh01giAIgtAdLVu2RK9evTB69Gjs27cP+/btw+jRo9G3b180b96cD9eiRQts3LjR6tySkhL861//wqhRo+yu++9//xuzZs3CoUOHcO7cOWzatAlPPfUU2rVrh65du8qeLlcwbRkCgMGDB+PKlSuYNWsW8vPzER0djU2bNiEyMlLtqBEEQRCELlm9ejUmTJjAj+bu378/Fi1aZBUmJyeHH6RkZu3ateA4Ds8884zdNX19ffHjjz9i4cKFuH79OiIiItCnTx/MmDEDPj4+8iVGAMyLIQAYN24cxo0b59G5fn5+mDFjhlee9ayi57QB+k4fpU2b6DltgL7Tp+e0yUGdOnXw+eefuwzDORhxN2bMGIwZM8Zh+IiICGRnZ0sSP6kxcY5SQxAEQRAEYRCY9xkiCIIgCIKQExJDBEEQBEEYGhJDBEEQBEEYGhJDBEEQBEEYGt2LocWLFyMqKgrVq1dHhw4dsGvXLrWjJJrU1FSYTCarLTQ0lD/OcRxSU1MRHh4Of39/xMfH49SpUyrG2Dk7d+5Ev379EB4eDpPJhK+++srquJC0lJaW4uWXX0a9evVQo0YN9O/fHxcvXlQwFY5xl7akpCS799ilSxerMKymbe7cuXjggQcQGBiIBg0aYODAgXarV2v13QlJm5bf3ZIlS9CmTRt+ssHY2Fj88MMP/HGtvjfAfdq0/N4IZdG1GFq3bh2Sk5Mxffp0HD16FA899BB69+6NCxcuqB010bRu3Rr5+fn8duLE3ytgL1iwAOnp6Vi0aBEOHjyI0NBQ9OjRg4mVgG25ceMG2rZtazdfhRkhaUlOTsbGjRuxdu1a7N69G9evX0ffvn1RUVGhVDIc4i5tANCrVy+r97hp0yar46ymLTs7Gy+99BL27duHrKwslJeXIyEhATdu/L1wplbfnZC0Adp9d40aNcK8efNw6NAhHDp0CI888ggGDBjACx6tvjfAfdoA7b43QmHUWhRNCTp16sSNHTvWal+LFi24119/XaUYecaMGTO4tm3bOjxWWVnJhYaGcvPmzeP33b59mwsODuaWLl2qUAw9AwC3ceNG/reQtFy9epWrVq0at3btWj7MpUuXuCpVqnCbN29WLO7usE0bx3Hc8OHDuQEDBjg9Rytp4ziOKyws5ABw2dnZHMfp693Zpo3j9PXuOI7jateuzX388ce6em9mzGnjOP29N0I+dGsZKisrw+HDh/nZM80kJCRgz549KsXKc86ePYvw8HBERUXh6aefxh9//AEAyM3NRUFBgVU6/fz80L17d82lU0haDh8+jDt37liFCQ8PR3R0tCbSu2PHDjRo0ADNmjXD6NGjUVhYyB/TUtrMs87WqVMHgL7enW3azOjh3VVUVGDt2rW4ceMGYmNjdfXebNNmRg/vjZAfTcxA7Ql//fUXKioq7FbYDQkJQUFBgUqx8ozOnTvj008/RbNmzfDnn39i9uzZiIuLw6lTp/i0OErn+fPn1YiuxwhJS0FBAXx9fVG7dm27MKy/1969e+Opp55CZGQkcnNz8eabb+KRRx7B4cOH4efnp5m0cRyHlJQUPPjgg4iOjgagn3fnKG2A9t/diRMnEBsbi9u3b6NmzZrYuHEjWrVqxTf4Wn5vztIGaP+9EcqhWzFkxmQyWf3mOM5uH+v07t2b/z8mJgaxsbG49957sWrVKt4ZUA/pNONJWrSQ3sGDB/P/R0dHo2PHjoiMjMT333+PxMREp+exlrbx48fj+PHj2L17t90xrb87Z2nT+rtr3rw5jh07hqtXr2L9+vUYPny41bIIWn5vztLWqlUrzb83Qjl0201Wr149+Pj42Kn7wsJCu68grVGjRg3ExMTg7Nmz/KgyPaRTSFpCQ0NRVlaGoqIip2G0QlhYGCIjI3H27FkA2kjbyy+/jG+++Qbbt29Ho0aN+P16eHfO0uYIrb07X19f3HfffejYsSPmzp2Ltm3bYuHChbp4b87S5gitvTdCOXQrhnx9fdGhQwdkZWVZ7c/KykJcXJxKsZKG0tJSnDlzBmFhYYiKikJoaKhVOsvKypCdna25dApJS4cOHVCtWjWrMPn5+Th58qTm0nvlyhXk5eUhLCwMANtp4zgO48ePx4YNG/DTTz8hKirK6riW3527tDlCS+/OERzHobS0VNPvzRnmtDlC6++NkBHFXbYVZO3atVy1atW4FStWcKdPn+aSk5O5GjVqcOfOnVM7aqJ49dVXuR07dnB//PEHt2/fPq5v375cYGAgn4558+ZxwcHB3IYNG7gTJ05wzzzzDBcWFsaVlJSoHHN7rl27xh09epQ7evQoB4BLT0/njh49yp0/f57jOGFpGTt2LNeoUSNu27Zt3JEjR7hHHnmEa9u2LVdeXq5WsjiOc522a9euca+++iq3Z88eLjc3l9u+fTsXGxvLNWzYUBNpe/HFF7ng4GBux44dXH5+Pr/dvHmTD6PVd+cubVp/d1OnTuV27tzJ5ebmcsePH+emTZvGValShdu6dSvHcdp9bxznOm1af2+EsuhaDHEcx3344YdcZGQk5+vry7Vv395quKxWGDx4MBcWFsZVq1aNCw8P5xITE7lTp07xxysrK7kZM2ZwoaGhnJ+fH9etWzfuxIkTKsbYOdu3b+cA2G3Dhw/nOE5YWm7dusWNHz+eq1OnDufv78/17duXu3DhggqpscZV2m7evMklJCRw9evX56pVq8Y1btyYGz58uF28WU2bo3QB4FauXMmH0eq7c5c2rb+7ESNG8HVg/fr1uUcffZQXQhyn3ffGca7TpvX3RiiLieM4Tjk7FEEQBEEQBFvo1meIIAiCIAhCCCSGCIIgCIIwNCSGCIIgCIIwNCSGCIIgCIIwNCSGCIIgCIIwNCSGCIIgCIIwNCSGCIIgCIIwNCSGCE0QHx+P5ORkXd03KSkJAwcO9OoaTZo0gclkgslkwtWrV52Gy8zMRK1atby6F+GcpKQk/j189dVXakeHIAiRkBgiCBds2LABb7/9Nv+7SZMmyMjIUC9CDpg1axby8/MRHBysdlR0z44dOxwKz4ULFyI/P1+dSBEE4TVV1Y4AQbBMnTp11I6CWwIDA/nVx9Xmzp07qFatmtrRUJzg4GASowShYcgyRGiSoqIiDBs2DLVr10ZAQAB69+6Ns2fP8sfN3UJbtmxBy5YtUbNmTfTq1cvq6728vBwTJkxArVq1ULduXUyZMgXDhw+36rqy7CaLj4/H+fPn8corr/BdIgCQmpqK+++/3yp+GRkZaNKkCf+7oqICKSkp/L0mT54M25VwOI7DggULcM8998Df3x9t27bF//3f/3n0fDIzM9G4cWMEBATgiSeewJUrV+zCfPvtt+jQoQOqV6+Oe+65BzNnzkR5eTl//Ndff8WDDz6I6tWro1WrVti2bZtVN9C5c+dgMpnw5ZdfIj4+HtWrV8fnn38OAFi5ciVatmyJ6tWro0WLFli8eLHVvS9duoTBgwejdu3aqFu3LgYMGIBz587xx3fs2IFOnTqhRo0aqFWrFrp27Yrz588LSru7dKWnpyMmJgY1atRAREQExo0bh+vXr/PHz58/j379+qF27dqoUaMGWrdujU2bNuHcuXN4+OGHAQC1a9eGyWRCUlKSoDgRBME2JIYITZKUlIRDhw7hm2++wd69e8FxHB5//HHcuXOHD3Pz5k288847+Oyzz7Bz505cuHABkyZN4o/Pnz8fq1evxsqVK/Hzzz+jpKTEpb/Hhg0b0KhRI75bSky3yLvvvotPPvkEK1aswO7du/Hf//4XGzdutArzxhtvYOXKlViyZAlOnTqFV155Bc899xyys7OFPxgA+/fvx4gRIzBu3DgcO3YMDz/8MGbPnm0VZsuWLXjuuecwYcIEnD59Gh999BEyMzMxZ84cAEBlZSUGDhyIgIAA7N+/H8uWLcP06dMd3m/KlCmYMGECzpw5g549e2L58uWYPn065syZgzNnziAtLQ1vvvkmVq1aBeDue3n44YdRs2ZN7Ny5E7t37+bFallZGcrLyzFw4EB0794dx48fx969ezFmzBhefLrCXboAoEqVKnj//fdx8uRJrFq1Cj/99BMmT57MH3/ppZdQWlqKnTt34sSJE5g/fz5q1qyJiIgIrF+/HgCQk5OD/Px8LFy4UNS7IQiCUVRdJpYgBNK9e3du4sSJHMdx3G+//cYB4H7++Wf++F9//cX5+/tzX375JcdxHLdy5UoOAPf777/zYT788EMuJCSE/x0SEsL985//5H+Xl5dzjRs35gYMGODwvhzHcZGRkdx7771nFbcZM2Zwbdu2tdr33nvvcZGRkfzvsLAwbt68efzvO3fucI0aNeLvdf36da569ercnj17rK4zcuRI7plnnnH6XBzF55lnnuF69epltW/w4MFccHAw//uhhx7i0tLSrMJ89tlnXFhYGMdxHPfDDz9wVatW5fLz8/njWVlZHABu48aNHMdxXG5uLgeAy8jIsLpOREQEt2bNGqt9b7/9NhcbG8txHMetWLGCa968OVdZWckfLy0t5fz9/bktW7ZwV65c4QBwO3bscJpuZ7hLlyO+/PJLrm7duvzvmJgYLjU11WHY7du3cwC4oqIih8ctnw9BENqBfIYIzXHmzBlUrVoVnTt35vfVrVsXzZs3x5kzZ/h9AQEBuPfee/nfYWFhKCwsBAAUFxfjzz//RKdOnfjjPj4+6NChAyorKyWNb3FxMfLz8xEbG8vvq1q1Kjp27Mh3lZ0+fRq3b99Gjx49rM4tKytDu3btRN3vzJkzeOKJJ6z2xcbGYvPmzfzvw4cP4+DBg1YWk4qKCty+fRs3b95ETk4OIiIirHyRLJ+VJR07duT/v3z5MvLy8jBy5EiMHj2a319eXs771Bw+fBi///47AgMDra5z+/Zt/Pvf/0ZCQgKSkpLQs2dP9OjRA4899hgGDRqEsLAwt2l3l66AgABs374daWlpOH36NEpKSlBeXo7bt2/jxo0bqFGjBiZMmIAXX3wRW7duxWOPPYYnn3wSbdq0cXtvgiC0C4khQnNwNr42lvstu1JsHXlNJpPdubZdL86u7YoqVarYnWfZXScEswD7/vvv0bBhQ6tjfn5+oq4lJA2VlZWYOXMmEhMT7Y5Vr17d7lm6okaNGlbXBYDly5dbiVXgrtg0h+nQoQNWr15td6369esDuOtzNGHCBGzevBnr1q3DG2+8gaysLHTp0sWrdJ0/fx6PP/44xo4di7fffht16tTB7t27MXLkSP6djRo1Cj179sT333+PrVu3Yu7cuXj33Xfx8ssvC3oeBEFoDxJDhOZo1aoVysvLsX//fsTFxQEArly5gt9++w0tW7YUdI3g4GCEhITgwIEDeOihhwDctSAcPXrUzhnaEl9fX1RUVFjtq1+/PgoKCqwExLFjx6zuFRYWhn379qFbt24A7lpKDh8+jPbt2/Np8vPzw4ULF9C9e3dBaXBGq1atsG/fPqt9tr/bt2+PnJwc3HfffQ6v0aJFC1y4cAF//vknQkJCAAAHDx50e++QkBA0bNgQf/zxB5599lmHYdq3b49169ahQYMGCAoKcnqtdu3aoV27dpg6dSpiY2OxZs0at2LIXboOHTqE8vJyvPvuu6hS5a7L5JdffmkXLiIiAmPHjsXYsWMxdepULF++HC+//DJ8fX0BwC4PEAShbUgMEZqjadOmGDBgAEaPHo2PPvoIgYGBeP3119GwYUMMGDBA8HVefvllzJ07F/fddx9atGiBDz74AEVFRS4tIk2aNMHOnTvx9NNPw8/PD/Xq1UN8fDwuX76MBQsW4B//+Ac2b96MH374waqhnzhxIubNm4emTZuiZcuWSE9Pt5qrJjAwEJMmTcIrr7yCyspKPPjggygpKcGePXtQs2ZNDB8+XHC6JkyYgLi4OCxYsAADBw7E1q1brbrIAOCtt95C3759ERERgaeeegpVqlTB8ePHceLECcyePRs9evTAvffei+HDh2PBggW4du0a70DtzmKUmpqKCRMmICgoCL1790ZpaSkOHTqEoqIipKSk4Nlnn8U///lPDBgwALNmzUKjRo1w4cIFbNiwAa+99hru3LmDZcuWoX///ggPD0dOTg5+++03DBs2zG3a3aXr3nvvRXl5OT744AP069cPP//8M5YuXWp1jeTkZPTu3RvNmjVDUVERfvrpJ15kR0ZGwmQy4bvvvsPjjz8Of39/1KxZU/C7IQiCUVTzViIIEdg6Mv/3v//lhg4dygUHB3P+/v5cz549ud9++40/vnLlSiuHYY7juI0bN3KWWf7OnTvc+PHjuaCgIK527drclClTuKeeeop7+umnnd537969XJs2bTg/Pz+ray1ZsoSLiIjgatSowQ0bNoybM2eOlQP1nTt3uIkTJ3JBQUFcrVq1uJSUFG7YsGFWztqVlZXcwoULuebNm3PVqlXj6tevz/Xs2ZPLzs52+lwcOVBz3F0n5UaNGnH+/v5cv379uHfeecfueWzevJmLi4vj/P39uaCgIK5Tp07csmXL+ONnzpzhunbtyvn6+nItWrTgvv32Ww4At3nzZo7j/nagPnr0qN39V69ezd1///2cr68vV7t2ba5bt27chg0b+OP5+fncsGHDuHr16nF+fn7cPffcw40ePZorLi7mCgoKuIEDB3JhYWGcr68vFxkZyb311ltcRUWF0+cgJl3p6elcWFgYn28+/fRTK6fo8ePHc/feey/n5+fH1a9fnxs6dCj3119/8efPmjWLCw0N5UwmEzd8+HCre4McqAlCk5g4zgMnCYLQIZWVlWjZsiUGDRpkNes0yzRp0gTJycmKLFXy888/48EHH8Tvv/9u5ZhO/I3JZMLGjRu9XmaFIAhloXmGCMNy/vx5LF++HL/99htOnDiBF198Ebm5uRgyZIjaURPFlClTULNmTRQXF0t63Y0bNyIrKwvnzp3Dtm3bMGbMGHTt2pWEkAPGjh1L3WUEoWHIMkQYlry8PDz99NM4efIkOI5DdHQ05s2bxzs5a4Hz58/zo6Duuece3ilYCj799FO8/fbbyMvLQ7169fDYY4/h3XffRd26dSW7h1hat27tdCbqjz76yKnTttwUFhaipKQEwN0pHCxH2BEEwT4khgiC0AyW4s+WkJAQu7mLCIIghEBiiCAIgiAIQ0M+QwRBEARBGBoSQwRBEARBGBoSQwRBEARBGBoSQwRBEARBGBoSQwRBEARBGBoSQwRBEARBGBoSQwRBEARBGBoSQwRBEARBGJr/B1R6/DW+dU9aAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mci['mci'].mean('time').plot.contourf()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "07676aef-b6ea-4860-ae5c-be82e571eb7a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7fee4c20b010>"
      ]
     },
     "execution_count": 10,
     "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": [
    "mci['mci'].isel(time=0).plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "962a275b-5f98-4482-bc8e-78fc2980df5e",
   "metadata": {},
   "source": [
    "### Cattiaux et al. 2016"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "c70756c7-5c9e-4f90-b5f2-5a94f95c4cb6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1.99 s, sys: 11.3 ms, total: 2 s\n",
      "Wall time: 1.99 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# In this example we look at North Hemispheric sinuosity\n",
    "# This takes 4 seconds on Intel i7-10750\n",
    "c16 = jsmetrics.waviness_metrics.cattiaux_et_al_2016(zg.sel(time=\"2021-02\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "b2861fd6-70c9-4628-9484-aeb1291b74a8",
   "metadata": {},
   "outputs": [
    {
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       ".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.Dataset&gt;\n",
       "Dimensions:                 (lon: 360, lat: 91, time: 28)\n",
       "Coordinates:\n",
       "  * lon                     (lon) float32 0.0 1.0 2.0 3.0 ... 357.0 358.0 359.0\n",
       "  * lat                     (lat) float32 0.0 1.0 2.0 3.0 ... 88.0 89.0 90.0\n",
       "    plev                    int32 500\n",
       "  * time                    (time) datetime64[ns] 2021-02-01 ... 2021-02-28\n",
       "Data variables:\n",
       "    zg                      (time, lat, lon) float32 5.869e+03 ... 5.132e+03\n",
       "    zonal_mean_zg_30Nto70N  (time) float32 5.399e+03 5.395e+03 ... 5.418e+03\n",
       "    sinuosity               (time) float64 1.507 1.573 1.649 ... 1.284 1.305\n",
       "Attributes:\n",
       "    Conventions:  CF-1.6\n",
       "    history:      2022-02-28 14:40:00 GMT by grib_to_netcdf-2.24.2: /opt/ecmw...</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-95e27325-06ef-4151-8743-11b5b37e4002' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-95e27325-06ef-4151-8743-11b5b37e4002' 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'>lon</span>: 360</li><li><span class='xr-has-index'>lat</span>: 91</li><li><span class='xr-has-index'>time</span>: 28</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cafd9b97-f0d3-4acf-8638-142fdfe42ffa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cafd9b97-f0d3-4acf-8638-142fdfe42ffa' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 ... 357.0 358.0 359.0</div><input id='attrs-ed1793f0-2c30-4f81-9901-75102f5ac89e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed1793f0-2c30-4f81-9901-75102f5ac89e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c9311b0-2d31-40d7-9725-240de9f7d318' class='xr-var-data-in' type='checkbox'><label for='data-0c9311b0-2d31-40d7-9725-240de9f7d318' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   1.,   2., ..., 357., 358., 359.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 88.0 89.0 90.0</div><input id='attrs-1317b826-68fc-4b95-abe2-77e24d963f45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1317b826-68fc-4b95-abe2-77e24d963f45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82298f01-bb0f-4ebf-b349-5ae86621941b' class='xr-var-data-in' type='checkbox'><label for='data-82298f01-bb0f-4ebf-b349-5ae86621941b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
       "       14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,\n",
       "       28., 29., 30., 31., 32., 33., 34., 35., 36., 37., 38., 39., 40., 41.,\n",
       "       42., 43., 44., 45., 46., 47., 48., 49., 50., 51., 52., 53., 54., 55.,\n",
       "       56., 57., 58., 59., 60., 61., 62., 63., 64., 65., 66., 67., 68., 69.,\n",
       "       70., 71., 72., 73., 74., 75., 76., 77., 78., 79., 80., 81., 82., 83.,\n",
       "       84., 85., 86., 87., 88., 89., 90.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>plev</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>500</div><input id='attrs-9ec485c1-c19a-470b-b707-f16e14787f2a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ec485c1-c19a-470b-b707-f16e14787f2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c4ecdc7-6cdd-4dba-9798-d413453d6c4e' class='xr-var-data-in' type='checkbox'><label for='data-5c4ecdc7-6cdd-4dba-9798-d413453d6c4e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>millibars</dd><dt><span>long_name :</span></dt><dd>pressure_level</dd></dl></div><div class='xr-var-data'><pre>array(500, dtype=int32)</pre></div></li><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'>2021-02-01 ... 2021-02-28</div><input id='attrs-967a24a3-bc8b-42ce-b057-f1911b983996' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-967a24a3-bc8b-42ce-b057-f1911b983996' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6be4dddc-41b1-434e-91b1-89a0d2a6fa63' class='xr-var-data-in' type='checkbox'><label for='data-6be4dddc-41b1-434e-91b1-89a0d2a6fa63' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-02-01T00:00:00.000000000&#x27;, &#x27;2021-02-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-03T00:00:00.000000000&#x27;, &#x27;2021-02-04T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-05T00:00:00.000000000&#x27;, &#x27;2021-02-06T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-07T00:00:00.000000000&#x27;, &#x27;2021-02-08T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-09T00:00:00.000000000&#x27;, &#x27;2021-02-10T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-11T00:00:00.000000000&#x27;, &#x27;2021-02-12T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-13T00:00:00.000000000&#x27;, &#x27;2021-02-14T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-15T00:00:00.000000000&#x27;, &#x27;2021-02-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-17T00:00:00.000000000&#x27;, &#x27;2021-02-18T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-19T00:00:00.000000000&#x27;, &#x27;2021-02-20T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-21T00:00:00.000000000&#x27;, &#x27;2021-02-22T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-23T00:00:00.000000000&#x27;, &#x27;2021-02-24T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-25T00:00:00.000000000&#x27;, &#x27;2021-02-26T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-02-27T00:00:00.000000000&#x27;, &#x27;2021-02-28T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dc9c274f-47e0-41ed-8e00-34dae63fc17a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dc9c274f-47e0-41ed-8e00-34dae63fc17a' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>zg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>5.869e+03 5.867e+03 ... 5.132e+03</div><input id='attrs-2073bdbe-dc30-48a9-ab89-8255c3fa55e5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2073bdbe-dc30-48a9-ab89-8255c3fa55e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f41ef06a-90d3-4fe5-8328-681a8c9bad45' class='xr-var-data-in' type='checkbox'><label for='data-f41ef06a-90d3-4fe5-8328-681a8c9bad45' 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([[[5868.5215, 5867.3135, 5866.9106, ..., 5866.4077, 5868.018 ,\n",
       "         5868.924 ],\n",
       "        [5867.7163, 5866.4077, 5865.4014, ..., 5863.8916, 5866.005 ,\n",
       "         5867.1123],\n",
       "        [5866.5083, 5866.7095, 5865.099 , ..., 5864.697 , 5864.7974,\n",
       "         5865.6025],\n",
       "        ...,\n",
       "        [5061.7725, 5061.974 , 5062.1753, ..., 5061.0684, 5061.2695,\n",
       "         5061.4707],\n",
       "        [5055.0293, 5055.1304, 5055.1304, ..., 5054.8286, 5054.929 ,\n",
       "         5054.929 ],\n",
       "        [5045.167 , 5045.167 , 5045.167 , ..., 5045.167 , 5045.167 ,\n",
       "         5045.167 ]],\n",
       "\n",
       "       [[5881.202 , 5883.0137, 5884.121 , ..., 5873.755 , 5875.8687,\n",
       "         5878.1826],\n",
       "        [5878.485 , 5881.4033, 5883.517 , ..., 5872.7485, 5874.359 ,\n",
       "         5875.667 ],\n",
       "        [5875.767 , 5878.5854, 5880.598 , ..., 5872.7485, 5873.2515,\n",
       "         5873.8555],\n",
       "...\n",
       "        [5166.944 , 5167.3467, 5167.749 , ..., 5165.6353, 5166.038 ,\n",
       "         5166.441 ],\n",
       "        [5165.3335, 5165.5347, 5165.837 , ..., 5164.7295, 5164.931 ,\n",
       "         5165.1323],\n",
       "        [5165.233 , 5165.233 , 5165.233 , ..., 5165.233 , 5165.233 ,\n",
       "         5165.233 ]],\n",
       "\n",
       "       [[5854.23  , 5856.0415, 5857.954 , ..., 5851.714 , 5851.6133,\n",
       "         5852.6196],\n",
       "        [5853.928 , 5854.9346, 5857.0483, ..., 5852.4185, 5852.72  ,\n",
       "         5853.123 ],\n",
       "        [5854.633 , 5855.1357, 5856.7466, ..., 5854.7334, 5854.633 ,\n",
       "         5854.331 ],\n",
       "        ...,\n",
       "        [5127.693 , 5128.197 , 5128.5986, ..., 5126.2847, 5126.787 ,\n",
       "         5127.1904],\n",
       "        [5131.417 , 5131.618 , 5131.82  , ..., 5130.7124, 5130.914 ,\n",
       "         5131.115 ],\n",
       "        [5132.222 , 5132.222 , 5132.222 , ..., 5132.222 , 5132.222 ,\n",
       "         5132.222 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zonal_mean_zg_30Nto70N</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>5.399e+03 5.395e+03 ... 5.418e+03</div><input id='attrs-a5977fb9-4e91-4ba2-a249-b3e6709d440d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a5977fb9-4e91-4ba2-a249-b3e6709d440d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15c86137-cb28-4d7b-85b2-034ba997e7a7' class='xr-var-data-in' type='checkbox'><label for='data-15c86137-cb28-4d7b-85b2-034ba997e7a7' 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([5399.429 , 5394.885 , 5391.713 , 5394.453 , 5406.366 , 5414.2524,\n",
       "       5415.859 , 5404.9917, 5397.5513, 5399.267 , 5409.281 , 5418.7505,\n",
       "       5417.5005, 5407.4546, 5396.082 , 5385.549 , 5381.9165, 5378.326 ,\n",
       "       5364.764 , 5359.059 , 5364.0186, 5376.6436, 5391.092 , 5406.6367,\n",
       "       5411.1274, 5411.253 , 5413.02  , 5417.729 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sinuosity</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.507 1.573 1.649 ... 1.284 1.305</div><input id='attrs-7aa8036a-c5ad-44fc-8a9f-4fb3e9b4daca' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7aa8036a-c5ad-44fc-8a9f-4fb3e9b4daca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6dd9fb61-56e4-4f6d-9154-9e6f2d9b7ce5' class='xr-var-data-in' type='checkbox'><label for='data-6dd9fb61-56e4-4f6d-9154-9e6f2d9b7ce5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1.50741114, 1.57253011, 1.64858188, 1.67288528, 1.73285476,\n",
       "       1.93747819, 1.96028274, 1.90489727, 1.92694992, 2.05359132,\n",
       "       1.92095808, 1.98299392, 1.71201207, 1.50138943, 1.45011776,\n",
       "       1.54082588, 1.53812069, 1.47441722, 1.41744314, 1.31197506,\n",
       "       1.27135061, 1.2177867 , 1.28310291, 1.28679044, 1.22531571,\n",
       "       1.20176405, 1.28381177, 1.30520338])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-11728d34-7915-48fb-aa9a-fb511360bacb' class='xr-section-summary-in' type='checkbox'  ><label for='section-11728d34-7915-48fb-aa9a-fb511360bacb' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fdae06c3-8999-4a1d-806d-4c38e00aae16' class='xr-index-data-in' type='checkbox'/><label for='index-fdae06c3-8999-4a1d-806d-4c38e00aae16' 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(Float64Index([  0.0,   1.0,   2.0,   3.0,   4.0,   5.0,   6.0,   7.0,   8.0,\n",
       "                9.0,\n",
       "              ...\n",
       "              350.0, 351.0, 352.0, 353.0, 354.0, 355.0, 356.0, 357.0, 358.0,\n",
       "              359.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=360))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-83bf7ce1-6b67-4063-8be9-70ec87c322c9' class='xr-index-data-in' type='checkbox'/><label for='index-83bf7ce1-6b67-4063-8be9-70ec87c322c9' 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(Float64Index([ 0.0,  1.0,  2.0,  3.0,  4.0,  5.0,  6.0,  7.0,  8.0,  9.0, 10.0,\n",
       "              11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0,\n",
       "              22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 32.0,\n",
       "              33.0, 34.0, 35.0, 36.0, 37.0, 38.0, 39.0, 40.0, 41.0, 42.0, 43.0,\n",
       "              44.0, 45.0, 46.0, 47.0, 48.0, 49.0, 50.0, 51.0, 52.0, 53.0, 54.0,\n",
       "              55.0, 56.0, 57.0, 58.0, 59.0, 60.0, 61.0, 62.0, 63.0, 64.0, 65.0,\n",
       "              66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0, 74.0, 75.0, 76.0,\n",
       "              77.0, 78.0, 79.0, 80.0, 81.0, 82.0, 83.0, 84.0, 85.0, 86.0, 87.0,\n",
       "              88.0, 89.0, 90.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><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-f5d6e5bf-f8c5-46c0-9491-68044c2511e4' class='xr-index-data-in' type='checkbox'/><label for='index-f5d6e5bf-f8c5-46c0-9491-68044c2511e4' 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;2021-02-01&#x27;, &#x27;2021-02-02&#x27;, &#x27;2021-02-03&#x27;, &#x27;2021-02-04&#x27;,\n",
       "               &#x27;2021-02-05&#x27;, &#x27;2021-02-06&#x27;, &#x27;2021-02-07&#x27;, &#x27;2021-02-08&#x27;,\n",
       "               &#x27;2021-02-09&#x27;, &#x27;2021-02-10&#x27;, &#x27;2021-02-11&#x27;, &#x27;2021-02-12&#x27;,\n",
       "               &#x27;2021-02-13&#x27;, &#x27;2021-02-14&#x27;, &#x27;2021-02-15&#x27;, &#x27;2021-02-16&#x27;,\n",
       "               &#x27;2021-02-17&#x27;, &#x27;2021-02-18&#x27;, &#x27;2021-02-19&#x27;, &#x27;2021-02-20&#x27;,\n",
       "               &#x27;2021-02-21&#x27;, &#x27;2021-02-22&#x27;, &#x27;2021-02-23&#x27;, &#x27;2021-02-24&#x27;,\n",
       "               &#x27;2021-02-25&#x27;, &#x27;2021-02-26&#x27;, &#x27;2021-02-27&#x27;, &#x27;2021-02-28&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-58daca04-e0dd-4732-ba33-7c70f904feff' class='xr-section-summary-in' type='checkbox'  checked><label for='section-58daca04-e0dd-4732-ba33-7c70f904feff' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>2022-02-28 14:40:00 GMT by grib_to_netcdf-2.24.2: /opt/ecmwf/mars-client/bin/grib_to_netcdf -S param -o /cache/data7/adaptor.mars.internal-1646059186.6150327-18978-20-305eeee1-c2c1-4c2e-bb93-19bdf09ff514.nc /cache/tmp/305eeee1-c2c1-4c2e-bb93-19bdf09ff514-adaptor.mars.internal-1646058890.4687173-18978-3-tmp.grib</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                 (lon: 360, lat: 91, time: 28)\n",
       "Coordinates:\n",
       "  * lon                     (lon) float32 0.0 1.0 2.0 3.0 ... 357.0 358.0 359.0\n",
       "  * lat                     (lat) float32 0.0 1.0 2.0 3.0 ... 88.0 89.0 90.0\n",
       "    plev                    int32 500\n",
       "  * time                    (time) datetime64[ns] 2021-02-01 ... 2021-02-28\n",
       "Data variables:\n",
       "    zg                      (time, lat, lon) float32 5.869e+03 ... 5.132e+03\n",
       "    zonal_mean_zg_30Nto70N  (time) float32 5.399e+03 5.395e+03 ... 5.418e+03\n",
       "    sinuosity               (time) float64 1.507 1.573 1.649 ... 1.284 1.305\n",
       "Attributes:\n",
       "    Conventions:  CF-1.6\n",
       "    history:      2022-02-28 14:40:00 GMT by grib_to_netcdf-2.24.2: /opt/ecmw..."
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c16"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "015f4fb5-78df-424d-9cba-08e53fdc4a59",
   "metadata": {},
   "outputs": [],
   "source": [
    "mci_feb21 = mci['mci'].mean('time')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "7ff69902-61fd-4e52-a862-8210378e0d61",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x300 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize=(8, 3))\n",
    "mci_feb21.plot(ax=axes[0])\n",
    "c16['sinuosity'].plot(ax=axes[1])\n",
    "axes[0].set_ylabel(\"Latitude $\\circ N$\")\n",
    "axes[0].set_xlabel(\"Longitude $\\circ E$\")\n",
    "axes[0].set_title(\"Francis & Vavrus 2015\")\n",
    "axes[1].set_ylabel(\"Sinusosity\")\n",
    "axes[1].set_title(\"Cattiaux et al. 2016\")\n",
    "fig.subplots_adjust(wspace=.4)\n",
    "# fig.savefig(\"fv15_c16_example.png\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3f7e5d7a-616c-4231-a442-1113171406ab",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "a56c9392-6359-46a7-b664-9a1659eaab72",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f4456c2d350>]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "c16['sinuosity'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0e817a1a-36fc-4101-b234-70430892d62d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}