02_create_anagada_netcdfs.ipynb

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   "source": [
    "# Break dataset into sections\n",
    "Use the start and end times to create individual files (netcdf) for each crossing\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import pandas as pd\n",
    "import cartopy.crs as ccrs\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from RU29_helpers import grid_glider\n",
    "\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
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      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 23 entries, 0 to 22\n",
      "Data columns (total 3 columns):\n",
      " #   Column          Non-Null Count  Dtype         \n",
      "---  ------          --------------  -----         \n",
      " 0   section_number  23 non-null     int64         \n",
      " 1   starttime       23 non-null     datetime64[ns]\n",
      " 2   endtime         23 non-null     datetime64[ns]\n",
      "dtypes: datetime64[ns](2), int64(1)\n",
      "memory usage: 680.0 bytes\n",
      "None\n"
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       "      <th>0</th>\n",
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       "      <td>2020-09-13 15:21:18</td>\n",
       "      <td>2020-09-15 06:58:35</td>\n",
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       "      <td>1</td>\n",
       "      <td>2020-10-01 00:26:24</td>\n",
       "      <td>2020-10-03 00:46:16</td>\n",
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       "      <th>2</th>\n",
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       "      <td>2020-10-06 20:48:49</td>\n",
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       "      <td>2020-10-10 13:04:46</td>\n",
       "      <td>2020-10-12 02:23:15</td>\n",
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       "   section_number           starttime             endtime\n",
       "0               0 2020-09-13 15:21:18 2020-09-15 06:58:35\n",
       "1               1 2020-10-01 00:26:24 2020-10-03 00:46:16\n",
       "2               2 2020-10-06 20:48:49 2020-10-08 13:48:27\n",
       "3               3 2020-10-08 13:48:27 2020-10-10 13:04:46\n",
       "4               4 2020-10-10 13:04:46 2020-10-12 02:23:15"
      ]
     },
     "execution_count": 2,
     "metadata": {},
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    }
   ],
   "source": [
    "# read in the list of start and end times\n",
    "# need to make sure the dates are interperted as dates!\n",
    "sect_times = pd.read_csv('anagada_section_times.csv', parse_dates=[1,2])\n",
    "\n",
    "print(sect_times.info())\n",
    "\n",
    "sect_times.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
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     "text": [
      "/Users/beaird/anaconda3/envs/FM2020/lib/python3.8/site-packages/scipy/stats/_binned_statistic.py:648: RuntimeWarning: Mean of empty slice\n",
      "  result[vv, i] = stat_func(bin_map[i])\n",
      "/Users/beaird/anaconda3/envs/FM2020/lib/python3.8/site-packages/scipy/stats/_binned_statistic.py:648: RuntimeWarning: Mean of empty slice\n",
      "  result[vv, i] = stat_func(bin_map[i])\n"
     ]
    }
   ],
   "source": [
    "# get the glider data:\n",
    "\n",
    "dataid = 'ru29-20200908T1623-profile-sci-rt'\n",
    "\n",
    "ru29ds = grid_glider(dataid)"
   ]
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  {
   "cell_type": "code",
   "execution_count": 4,
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
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       "    cdom                   (depth, date) float64 nan nan nan nan ... nan nan nan\n",
       "    chlorophyll_a          (depth, date) float64 nan nan nan nan ... nan nan nan\n",
       "    beta_700nm             (depth, date) float64 nan nan nan nan ... nan nan nan</pre><div class='xr-wrap' hidden><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-a94545ad-45cb-48a6-b65a-0884a361b490' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a94545ad-45cb-48a6-b65a-0884a361b490' 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'>date</span>: 1090</li><li><span class='xr-has-index'>depth</span>: 199</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-26a816f4-b1db-430f-b67c-8cd95cafc1f7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-26a816f4-b1db-430f-b67c-8cd95cafc1f7' 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'>date</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-09-08T16:45:31.843373056 .....</div><input id='attrs-84384547-6d60-4408-9df1-a8e119dee58d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-84384547-6d60-4408-9df1-a8e119dee58d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3bac88f-b452-4b55-bf54-65cafdbeda37' class='xr-var-data-in' type='checkbox'><label for='data-f3bac88f-b452-4b55-bf54-65cafdbeda37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-09-08T16:45:31.843373056&#x27;, &#x27;2020-09-08T17:18:19.853932288&#x27;,\n",
       "       &#x27;2020-09-08T17:31:52.876289024&#x27;, ..., &#x27;2020-11-16T11:24:57.853932288&#x27;,\n",
       "       &#x27;2020-11-16T12:03:14.989716480&#x27;, &#x27;2020-11-16T12:38:48.349999872&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>depth</span></div><div class='xr-var-dims'>(depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.5 7.5 12.5 ... 982.5 987.5 992.5</div><input id='attrs-2f368b05-7ec8-4cd8-a43b-1a44e9a5cc37' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2f368b05-7ec8-4cd8-a43b-1a44e9a5cc37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c8dac6b-b872-418d-a39b-3a6b9a9d700d' class='xr-var-data-in' type='checkbox'><label for='data-8c8dac6b-b872-418d-a39b-3a6b9a9d700d' 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([  2.5,   7.5,  12.5,  17.5,  22.5,  27.5,  32.5,  37.5,  42.5,  47.5,\n",
       "        52.5,  57.5,  62.5,  67.5,  72.5,  77.5,  82.5,  87.5,  92.5,  97.5,\n",
       "       102.5, 107.5, 112.5, 117.5, 122.5, 127.5, 132.5, 137.5, 142.5, 147.5,\n",
       "       152.5, 157.5, 162.5, 167.5, 172.5, 177.5, 182.5, 187.5, 192.5, 197.5,\n",
       "       202.5, 207.5, 212.5, 217.5, 222.5, 227.5, 232.5, 237.5, 242.5, 247.5,\n",
       "       252.5, 257.5, 262.5, 267.5, 272.5, 277.5, 282.5, 287.5, 292.5, 297.5,\n",
       "       302.5, 307.5, 312.5, 317.5, 322.5, 327.5, 332.5, 337.5, 342.5, 347.5,\n",
       "       352.5, 357.5, 362.5, 367.5, 372.5, 377.5, 382.5, 387.5, 392.5, 397.5,\n",
       "       402.5, 407.5, 412.5, 417.5, 422.5, 427.5, 432.5, 437.5, 442.5, 447.5,\n",
       "       452.5, 457.5, 462.5, 467.5, 472.5, 477.5, 482.5, 487.5, 492.5, 497.5,\n",
       "       502.5, 507.5, 512.5, 517.5, 522.5, 527.5, 532.5, 537.5, 542.5, 547.5,\n",
       "       552.5, 557.5, 562.5, 567.5, 572.5, 577.5, 582.5, 587.5, 592.5, 597.5,\n",
       "       602.5, 607.5, 612.5, 617.5, 622.5, 627.5, 632.5, 637.5, 642.5, 647.5,\n",
       "       652.5, 657.5, 662.5, 667.5, 672.5, 677.5, 682.5, 687.5, 692.5, 697.5,\n",
       "       702.5, 707.5, 712.5, 717.5, 722.5, 727.5, 732.5, 737.5, 742.5, 747.5,\n",
       "       752.5, 757.5, 762.5, 767.5, 772.5, 777.5, 782.5, 787.5, 792.5, 797.5,\n",
       "       802.5, 807.5, 812.5, 817.5, 822.5, 827.5, 832.5, 837.5, 842.5, 847.5,\n",
       "       852.5, 857.5, 862.5, 867.5, 872.5, 877.5, 882.5, 887.5, 892.5, 897.5,\n",
       "       902.5, 907.5, 912.5, 917.5, 922.5, 927.5, 932.5, 937.5, 942.5, 947.5,\n",
       "       952.5, 957.5, 962.5, 967.5, 972.5, 977.5, 982.5, 987.5, 992.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.18 18.18 18.18 ... 18.16 18.16</div><input id='attrs-2588919a-9dde-453f-b847-6441cb630a94' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2588919a-9dde-453f-b847-6441cb630a94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ef79023-c6f7-4ec3-bc8b-7ba941707201' class='xr-var-data-in' type='checkbox'><label for='data-9ef79023-c6f7-4ec3-bc8b-7ba941707201' 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([18.17635984, 18.1778354 , 18.17750793, ..., 18.16803324,\n",
       "       18.16483566, 18.16402166])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-64.8 -64.81 ... -64.79 -64.79</div><input id='attrs-616f9acc-cd8d-4270-acff-5e804ffb51a7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-616f9acc-cd8d-4270-acff-5e804ffb51a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03cf6ae6-1c4f-4007-9315-16bd41a8b28b' class='xr-var-data-in' type='checkbox'><label for='data-03cf6ae6-1c4f-4007-9315-16bd41a8b28b' 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([-64.80375307, -64.80548524, -64.80408515, ..., -64.78722241,\n",
       "       -64.78800621, -64.78945259])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bbea0116-3912-4dcd-a4ff-1dbc8aadcfb0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bbea0116-3912-4dcd-a4ff-1dbc8aadcfb0' class='xr-section-summary' >Data variables: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>u</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... nan -0.03963</div><input id='attrs-085fef2f-b213-4d3b-8b73-1cde890cc730' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-085fef2f-b213-4d3b-8b73-1cde890cc730' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37b3165d-f68a-4f6b-8fe3-46d8d78860aa' class='xr-var-data-in' type='checkbox'><label for='data-37b3165d-f68a-4f6b-8fe3-46d8d78860aa' 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([       nan,        nan,        nan, ...,  0.0025372,        nan,\n",
       "       -0.0396267])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... nan 0.01019</div><input id='attrs-5706ed62-ad9b-41c9-8653-cd2ea6badcbd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5706ed62-ad9b-41c9-8653-cd2ea6badcbd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-649430af-b781-43ad-97a6-6d4999c13b41' class='xr-var-data-in' type='checkbox'><label for='data-649430af-b781-43ad-97a6-6d4999c13b41' 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([       nan,        nan,        nan, ..., -0.0101219,        nan,\n",
       "        0.0101897])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>potential_temperature</span></div><div class='xr-var-dims'>(depth, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-9d3c20ef-e995-4430-9908-1d1929632d3d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9d3c20ef-e995-4430-9908-1d1929632d3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8484270-f749-42a9-aaf4-2582092d7f4e' class='xr-var-data-in' type='checkbox'><label for='data-d8484270-f749-42a9-aaf4-2582092d7f4e' 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([[        nan,         nan,         nan, ..., 27.958664  ,\n",
       "        28.001612  , 27.99006   ],\n",
       "       [29.531169  , 29.550522  , 29.5333545 , ..., 27.978546  ,\n",
       "        28.0007665 , 27.9987755 ],\n",
       "       [29.516455  , 29.5220655 , 29.52998825, ..., 27.979002  ,\n",
       "        28.00056967, 27.997578  ],\n",
       "       ...,\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salinity</span></div><div class='xr-var-dims'>(depth, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-a24b8dfd-58ae-41ba-9d97-bb56bd93b5a8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a24b8dfd-58ae-41ba-9d97-bb56bd93b5a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac536780-618d-452b-b9aa-15e0f09a70cd' class='xr-var-data-in' type='checkbox'><label for='data-ac536780-618d-452b-b9aa-15e0f09a70cd' 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([[        nan,         nan,         nan, ..., 34.739586  ,\n",
       "        34.74175   , 34.743603  ],\n",
       "       [34.93186   , 34.922886  , 34.92914   , ..., 34.7386985 ,\n",
       "        34.7418255 , 34.742334  ],\n",
       "       [34.97667433, 34.96892   , 34.96607075, ..., 34.73884   ,\n",
       "        34.742322  , 34.742954  ],\n",
       "       ...,\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cdom</span></div><div class='xr-var-dims'>(depth, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-84f35216-7287-43c4-ae12-24b64ef07eaa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-84f35216-7287-43c4-ae12-24b64ef07eaa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d910877e-9ee0-4d8d-ab2e-817d6f0d7e00' class='xr-var-data-in' type='checkbox'><label for='data-d910877e-9ee0-4d8d-ab2e-817d6f0d7e00' 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([[       nan,        nan,        nan, ..., 0.        ,        nan,\n",
       "        0.        ],\n",
       "       [0.9911    , 0.8109    , 1.4416    , ..., 1.03615   ,        nan,\n",
       "        1.12625   ],\n",
       "       [0.84093333, 0.901     , 0.878475  , ..., 1.0812    ,        nan,\n",
       "        0.9911    ],\n",
       "       ...,\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan],\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan],\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>chlorophyll_a</span></div><div class='xr-var-dims'>(depth, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-84c40b95-ddfb-4b96-85b2-c7030411c35a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-84c40b95-ddfb-4b96-85b2-c7030411c35a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04e04030-a3b7-4a74-bde4-2681e9a3f3cc' class='xr-var-data-in' type='checkbox'><label for='data-04e04030-a3b7-4a74-bde4-2681e9a3f3cc' 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([[   nan,    nan,    nan, ..., 0.    ,    nan, 0.    ],\n",
       "       [0.0792, 0.0888, 0.0792, ..., 0.1224,    nan, 0.1116],\n",
       "       [0.0888, 0.1008, 0.0882, ..., 0.1296,    nan, 0.108 ],\n",
       "       ...,\n",
       "       [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "       [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "       [   nan,    nan,    nan, ...,    nan,    nan,    nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beta_700nm</span></div><div class='xr-var-dims'>(depth, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-2c319720-f037-4f3b-b8ed-9f6a1630d63d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2c319720-f037-4f3b-b8ed-9f6a1630d63d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b87b2a4-4879-4af7-a3d6-156d887ddd40' class='xr-var-data-in' type='checkbox'><label for='data-4b87b2a4-4879-4af7-a3d6-156d887ddd40' 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([[       nan,        nan,        nan, ..., 0.        ,        nan,\n",
       "        0.        ],\n",
       "       [0.00010928, 0.00011225, 0.00011171, ..., 0.00010523,        nan,\n",
       "        0.00010847],\n",
       "       [0.00011063, 0.00011981, 0.00011495, ..., 0.00010524,        nan,\n",
       "        0.00010524],\n",
       "       ...,\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan],\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan],\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0ad80d30-0685-46ce-baab-df8e53b92e68' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0ad80d30-0685-46ce-baab-df8e53b92e68' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                (date: 1090, depth: 199)\n",
       "Coordinates:\n",
       "  * date                   (date) datetime64[ns] 2020-09-08T16:45:31.84337305...\n",
       "  * depth                  (depth) float64 2.5 7.5 12.5 ... 982.5 987.5 992.5\n",
       "    lat                    (date) float64 18.18 18.18 18.18 ... 18.16 18.16\n",
       "    lon                    (date) float64 -64.8 -64.81 -64.8 ... -64.79 -64.79\n",
       "Data variables:\n",
       "    u                      (date) float64 nan nan nan ... 0.002537 nan -0.03963\n",
       "    v                      (date) float64 nan nan nan ... -0.01012 nan 0.01019\n",
       "    potential_temperature  (depth, date) float64 nan nan nan nan ... nan nan nan\n",
       "    salinity               (depth, date) float64 nan nan nan nan ... nan nan nan\n",
       "    cdom                   (depth, date) float64 nan nan nan nan ... nan nan nan\n",
       "    chlorophyll_a          (depth, date) float64 nan nan nan nan ... nan nan nan\n",
       "    beta_700nm             (depth, date) float64 nan nan nan nan ... nan nan nan"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ru29ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<defs>\n",
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       "\n",
       ".xr-attrs dt, dd {\n",
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       "  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",
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       "\n",
       ".xr-attrs dd {\n",
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       "\n",
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                (date: 25, depth: 199)\n",
       "Coordinates:\n",
       "  * date                   (date) datetime64[ns] 2020-09-13T15:21:18.54965913...\n",
       "  * depth                  (depth) float64 2.5 7.5 12.5 ... 982.5 987.5 992.5\n",
       "    lat                    (date) float64 18.14 18.13 18.11 ... 17.83 17.82\n",
       "    lon                    (date) float64 -64.77 -64.77 -64.77 ... -64.8 -64.79\n",
       "Data variables:\n",
       "    u                      (date) float64 nan -0.1233 nan ... nan -0.07592 nan\n",
       "    v                      (date) float64 nan 0.01614 nan ... nan 0.01256 nan\n",
       "    potential_temperature  (depth, date) float64 29.64 29.72 29.72 ... nan nan\n",
       "    salinity               (depth, date) float64 34.63 34.63 34.58 ... nan nan\n",
       "    cdom                   (depth, date) float64 nan 0.0 nan 0.0 ... nan nan nan\n",
       "    chlorophyll_a          (depth, date) float64 nan 0.0 nan 0.0 ... nan nan nan\n",
       "    beta_700nm             (depth, date) float64 nan 0.0 nan 0.0 ... nan nan nan</pre><div class='xr-wrap' hidden><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-c0276f5f-856e-46d4-a183-ca3675498ff2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c0276f5f-856e-46d4-a183-ca3675498ff2' 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'>date</span>: 25</li><li><span class='xr-has-index'>depth</span>: 199</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6cd216af-f450-43a2-8a74-38d7a7d0574c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6cd216af-f450-43a2-8a74-38d7a7d0574c' 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'>date</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-09-13T15:21:18.549659136 .....</div><input id='attrs-1f8f0c29-89f8-4557-ae19-d194dea8874a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1f8f0c29-89f8-4557-ae19-d194dea8874a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e02eb56a-0076-4a75-858b-206938f344a8' class='xr-var-data-in' type='checkbox'><label for='data-e02eb56a-0076-4a75-858b-206938f344a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-09-13T15:21:18.549659136&#x27;, &#x27;2020-09-13T17:07:41.759956224&#x27;,\n",
       "       &#x27;2020-09-13T18:31:49.120110592&#x27;, &#x27;2020-09-13T20:14:38.537905408&#x27;,\n",
       "       &#x27;2020-09-13T21:53:06.141856000&#x27;, &#x27;2020-09-13T23:34:11.771728128&#x27;,\n",
       "       &#x27;2020-09-14T00:55:50.245775616&#x27;, &#x27;2020-09-14T02:46:35.384464640&#x27;,\n",
       "       &#x27;2020-09-14T04:10:17.572036096&#x27;, &#x27;2020-09-14T05:56:54.171309568&#x27;,\n",
       "       &#x27;2020-09-14T07:35:01.173025280&#x27;, &#x27;2020-09-14T09:19:15.946555136&#x27;,\n",
       "       &#x27;2020-09-14T10:58:37.297297152&#x27;, &#x27;2020-09-14T12:06:35.475154432&#x27;,\n",
       "       &#x27;2020-09-14T12:54:42.049548800&#x27;, &#x27;2020-09-14T14:23:20.845493504&#x27;,\n",
       "       &#x27;2020-09-14T16:02:33.089332736&#x27;, &#x27;2020-09-14T17:54:45.796717056&#x27;,\n",
       "       &#x27;2020-09-14T19:27:30.327516160&#x27;, &#x27;2020-09-14T21:11:39.679191296&#x27;,\n",
       "       &#x27;2020-09-14T22:45:39.964131840&#x27;, &#x27;2020-09-15T00:25:31.025450240&#x27;,\n",
       "       &#x27;2020-09-15T02:02:32.227055104&#x27;, &#x27;2020-09-15T03:41:04.826278400&#x27;,\n",
       "       &#x27;2020-09-15T05:17:05.880796160&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>depth</span></div><div class='xr-var-dims'>(depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.5 7.5 12.5 ... 982.5 987.5 992.5</div><input id='attrs-14136c40-da91-4799-9de6-544769f09282' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-14136c40-da91-4799-9de6-544769f09282' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2a6b6bb-2857-4eb8-999a-267367996d5d' class='xr-var-data-in' type='checkbox'><label for='data-a2a6b6bb-2857-4eb8-999a-267367996d5d' 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([  2.5,   7.5,  12.5,  17.5,  22.5,  27.5,  32.5,  37.5,  42.5,  47.5,\n",
       "        52.5,  57.5,  62.5,  67.5,  72.5,  77.5,  82.5,  87.5,  92.5,  97.5,\n",
       "       102.5, 107.5, 112.5, 117.5, 122.5, 127.5, 132.5, 137.5, 142.5, 147.5,\n",
       "       152.5, 157.5, 162.5, 167.5, 172.5, 177.5, 182.5, 187.5, 192.5, 197.5,\n",
       "       202.5, 207.5, 212.5, 217.5, 222.5, 227.5, 232.5, 237.5, 242.5, 247.5,\n",
       "       252.5, 257.5, 262.5, 267.5, 272.5, 277.5, 282.5, 287.5, 292.5, 297.5,\n",
       "       302.5, 307.5, 312.5, 317.5, 322.5, 327.5, 332.5, 337.5, 342.5, 347.5,\n",
       "       352.5, 357.5, 362.5, 367.5, 372.5, 377.5, 382.5, 387.5, 392.5, 397.5,\n",
       "       402.5, 407.5, 412.5, 417.5, 422.5, 427.5, 432.5, 437.5, 442.5, 447.5,\n",
       "       452.5, 457.5, 462.5, 467.5, 472.5, 477.5, 482.5, 487.5, 492.5, 497.5,\n",
       "       502.5, 507.5, 512.5, 517.5, 522.5, 527.5, 532.5, 537.5, 542.5, 547.5,\n",
       "       552.5, 557.5, 562.5, 567.5, 572.5, 577.5, 582.5, 587.5, 592.5, 597.5,\n",
       "       602.5, 607.5, 612.5, 617.5, 622.5, 627.5, 632.5, 637.5, 642.5, 647.5,\n",
       "       652.5, 657.5, 662.5, 667.5, 672.5, 677.5, 682.5, 687.5, 692.5, 697.5,\n",
       "       702.5, 707.5, 712.5, 717.5, 722.5, 727.5, 732.5, 737.5, 742.5, 747.5,\n",
       "       752.5, 757.5, 762.5, 767.5, 772.5, 777.5, 782.5, 787.5, 792.5, 797.5,\n",
       "       802.5, 807.5, 812.5, 817.5, 822.5, 827.5, 832.5, 837.5, 842.5, 847.5,\n",
       "       852.5, 857.5, 862.5, 867.5, 872.5, 877.5, 882.5, 887.5, 892.5, 897.5,\n",
       "       902.5, 907.5, 912.5, 917.5, 922.5, 927.5, 932.5, 937.5, 942.5, 947.5,\n",
       "       952.5, 957.5, 962.5, 967.5, 972.5, 977.5, 982.5, 987.5, 992.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.14 18.13 18.11 ... 17.83 17.82</div><input id='attrs-4c6f0cf7-bd05-43a2-ab9b-447ab10f461b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4c6f0cf7-bd05-43a2-ab9b-447ab10f461b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2199c0db-8ee6-4258-ab4b-e8d69abf587f' class='xr-var-data-in' type='checkbox'><label for='data-2199c0db-8ee6-4258-ab4b-e8d69abf587f' 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([18.13708683, 18.12910994, 18.11464183, 18.10226858, 18.08459795,\n",
       "       18.07047615, 18.05547662, 18.04017702, 18.02742423, 18.01554809,\n",
       "       18.00089459, 17.99008639, 17.97349359, 17.96473608, 17.95659512,\n",
       "       17.94778405, 17.93270369, 17.91788669, 17.90285801, 17.88771859,\n",
       "       17.87051962, 17.85635371, 17.83873192, 17.82877688, 17.82028577])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-64.77 -64.77 ... -64.8 -64.79</div><input id='attrs-a08a0cc8-0a57-49fd-af8b-71373909ac21' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a08a0cc8-0a57-49fd-af8b-71373909ac21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-211e61c3-72ad-49ce-bb86-68ed5df09716' class='xr-var-data-in' type='checkbox'><label for='data-211e61c3-72ad-49ce-bb86-68ed5df09716' 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([-64.77350987, -64.77153971, -64.77260582, -64.77806199,\n",
       "       -64.78073159, -64.78533438, -64.78791663, -64.79076527,\n",
       "       -64.79143176, -64.79377758, -64.79407335, -64.79776861,\n",
       "       -64.79807813, -64.7997694 , -64.80182428, -64.80234919,\n",
       "       -64.79917538, -64.79741003, -64.79699716, -64.79759942,\n",
       "       -64.79883407, -64.80132171, -64.8015935 , -64.79770745,\n",
       "       -64.79121655])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-518e1f69-6225-4827-a75a-0978a8c3390e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-518e1f69-6225-4827-a75a-0978a8c3390e' class='xr-section-summary' >Data variables: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>u</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -0.1233 nan ... -0.07592 nan</div><input id='attrs-10ea91ff-77c9-459f-8a41-b02c257e07e7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-10ea91ff-77c9-459f-8a41-b02c257e07e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6a4e13d-6975-4c41-ae01-03298f5ade5f' class='xr-var-data-in' type='checkbox'><label for='data-a6a4e13d-6975-4c41-ae01-03298f5ade5f' 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([        nan, -0.1233245 ,         nan, -0.1082328 ,         nan,\n",
       "       -0.120248  ,         nan, -0.1349335 ,         nan, -0.128184  ,\n",
       "               nan, -0.1152105 ,         nan, -0.0945392 ,         nan,\n",
       "       -0.1244476 ,         nan, -0.1185813 ,         nan, -0.07129525,\n",
       "               nan, -0.0717682 ,         nan, -0.07592225,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 0.01614 nan ... nan 0.01256 nan</div><input id='attrs-22905c04-3eb4-440b-ac08-656d79a48f74' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-22905c04-3eb4-440b-ac08-656d79a48f74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72e39c4a-ec16-4b6e-98b5-10b5969e27ee' class='xr-var-data-in' type='checkbox'><label for='data-72e39c4a-ec16-4b6e-98b5-10b5969e27ee' 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([       nan, 0.01614075,        nan, 0.0269875 ,        nan,\n",
       "       0.0267736 ,        nan, 0.0268996 ,        nan, 0.0620481 ,\n",
       "              nan, 0.06552025,        nan, 0.0337076 ,        nan,\n",
       "       0.04138625,        nan, 0.04401135,        nan, 0.04041715,\n",
       "              nan, 0.0130525 ,        nan, 0.01255945,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>potential_temperature</span></div><div class='xr-var-dims'>(depth, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>29.64 29.72 29.72 ... nan nan nan</div><input id='attrs-7316d647-f85c-4891-b883-c545993ba8c5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7316d647-f85c-4891-b883-c545993ba8c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f41fdf9-30dd-4fb2-9219-13d570c1bde4' class='xr-var-data-in' type='checkbox'><label for='data-5f41fdf9-30dd-4fb2-9219-13d570c1bde4' 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([[29.639973  , 29.71956   , 29.716516  , ..., 29.708908  ,\n",
       "        29.682753  , 29.661303  ],\n",
       "       [29.6307075 , 29.652412  , 29.6622815 , ..., 29.69220467,\n",
       "        29.6906175 , 29.66407767],\n",
       "       [29.6212446 , 29.6235315 , 29.5981606 , ..., 29.55560967,\n",
       "        29.517335  , 29.64420533],\n",
       "       ...,\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salinity</span></div><div class='xr-var-dims'>(depth, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>34.63 34.63 34.58 ... nan nan nan</div><input id='attrs-6043a725-552d-43da-8eca-3cdc8a90fc1d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6043a725-552d-43da-8eca-3cdc8a90fc1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-711d51a2-b983-42ff-9803-7e3d6f623f28' class='xr-var-data-in' type='checkbox'><label for='data-711d51a2-b983-42ff-9803-7e3d6f623f28' 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([[34.630882  , 34.62966   , 34.579704  , ..., 34.834625  ,\n",
       "        34.83599   , 34.834034  ],\n",
       "       [34.62889275, 34.629734  , 34.577959  , ..., 34.833323  ,\n",
       "        34.83524   , 34.83530967],\n",
       "       [34.6298768 , 34.6304925 , 34.5805844 , ..., 34.84838   ,\n",
       "        34.8827715 , 34.833982  ],\n",
       "       ...,\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cdom</span></div><div class='xr-var-dims'>(depth, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 0.0 nan 0.0 ... nan nan nan nan</div><input id='attrs-3eb6e66f-0596-48cf-b179-85e407f535c6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3eb6e66f-0596-48cf-b179-85e407f535c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb1dd092-832e-494b-be20-ca3ed581cd57' class='xr-var-data-in' type='checkbox'><label for='data-bb1dd092-832e-494b-be20-ca3ed581cd57' 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([[    nan, 0.     ,     nan, ...,     nan, 0.     ,     nan],\n",
       "       [    nan, 1.03615,     nan, ...,     nan, 0.85595,     nan],\n",
       "       [    nan, 0.901  ,     nan, ...,     nan, 0.94605,     nan],\n",
       "       ...,\n",
       "       [    nan,     nan,     nan, ...,     nan,     nan,     nan],\n",
       "       [    nan,     nan,     nan, ...,     nan,     nan,     nan],\n",
       "       [    nan,     nan,     nan, ...,     nan,     nan,     nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>chlorophyll_a</span></div><div class='xr-var-dims'>(depth, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 0.0 nan 0.0 ... nan nan nan nan</div><input id='attrs-63e8dee5-0e7c-447e-92e5-e6283ffef2c5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-63e8dee5-0e7c-447e-92e5-e6283ffef2c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09a0cb6b-fecf-405d-b81c-e9eeab0d59cf' class='xr-var-data-in' type='checkbox'><label for='data-09a0cb6b-fecf-405d-b81c-e9eeab0d59cf' 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([[   nan, 0.    ,    nan, ...,    nan, 0.    ,    nan],\n",
       "       [   nan, 0.09  ,    nan, ...,    nan, 0.126 ,    nan],\n",
       "       [   nan, 0.1008,    nan, ...,    nan, 0.1044,    nan],\n",
       "       ...,\n",
       "       [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "       [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "       [   nan,    nan,    nan, ...,    nan,    nan,    nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beta_700nm</span></div><div class='xr-var-dims'>(depth, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 0.0 nan 0.0 ... nan nan nan nan</div><input id='attrs-57e643e6-dbc0-4b1e-ae48-886406aa79df' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-57e643e6-dbc0-4b1e-ae48-886406aa79df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f391522b-84f8-40e3-b7d6-3844ee9cd875' class='xr-var-data-in' type='checkbox'><label for='data-f391522b-84f8-40e3-b7d6-3844ee9cd875' 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([[       nan, 0.        ,        nan, ...,        nan, 0.        ,\n",
       "               nan],\n",
       "       [       nan, 0.00011333,        nan, ...,        nan, 0.00012142,\n",
       "               nan],\n",
       "       [       nan, 0.00011009,        nan, ...,        nan, 0.00013438,\n",
       "               nan],\n",
       "       ...,\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan],\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan],\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-081dc3a9-9c51-43ee-9c97-87e324aa9cb3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-081dc3a9-9c51-43ee-9c97-87e324aa9cb3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                (date: 25, depth: 199)\n",
       "Coordinates:\n",
       "  * date                   (date) datetime64[ns] 2020-09-13T15:21:18.54965913...\n",
       "  * depth                  (depth) float64 2.5 7.5 12.5 ... 982.5 987.5 992.5\n",
       "    lat                    (date) float64 18.14 18.13 18.11 ... 17.83 17.82\n",
       "    lon                    (date) float64 -64.77 -64.77 -64.77 ... -64.8 -64.79\n",
       "Data variables:\n",
       "    u                      (date) float64 nan -0.1233 nan ... nan -0.07592 nan\n",
       "    v                      (date) float64 nan 0.01614 nan ... nan 0.01256 nan\n",
       "    potential_temperature  (depth, date) float64 29.64 29.72 29.72 ... nan nan\n",
       "    salinity               (depth, date) float64 34.63 34.63 34.58 ... nan nan\n",
       "    cdom                   (depth, date) float64 nan 0.0 nan 0.0 ... nan nan nan\n",
       "    chlorophyll_a          (depth, date) float64 nan 0.0 nan 0.0 ... nan nan nan\n",
       "    beta_700nm             (depth, date) float64 nan 0.0 nan 0.0 ... nan nan nan"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# select just a single section \n",
    "\n",
    "start = sect_times.iloc[0].starttime\n",
    "stop = sect_times.iloc[0].endtime\n",
    "\n",
    "sec = ru29ds.sel(date = slice(start, stop))\n",
    "\n",
    "# print out what your selected dataset\n",
    "sec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# grab bathymetry data for a map\n",
    "\n",
    "lat_lims = [16, 18.9]\n",
    "lon_lims = [-66, -61]\n",
    "\n",
    "# grab some bathymetry\n",
    "\n",
    "url = 'http://geoport.whoi.edu/thredds/dodsC/bathy/etopo1_bed_g2'\n",
    "\n",
    "etopo1 = xr.open_dataset(url).sel(lat = slice(lat_lims[0], lat_lims[1]), lon = slice(lon_lims[0], lon_lims[1] ))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# make the figure code better!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_section(sec):\n",
    "    plt.figure( figsize = (10,5))\n",
    "\n",
    "    plt.subplot(121)\n",
    "\n",
    "    plt.pcolormesh(sec.lat, sec.depth, sec.potential_temperature )\n",
    "#     plt.contourf(sec.lat, sec.depth, sec.potential_temperature )\n",
    "    plt.ylim([1000, 0])\n",
    "    plt.colorbar(label='Temp [$^\\circ$C]')\n",
    "    plt.xlabel('Latitude')\n",
    "    plt.ylabel('Depth [m]')\n",
    "\n",
    "    plt.title( str(sec.date[0].dt.month.values) + '/' + str(sec.date[0].dt.day.values)\n",
    "              +' - ' + str(sec.date[-1].dt.month.values) + \n",
    "              '/' + str(sec.date[-1].dt.day.values) + ', '+ str(sec.date[-1].dt.year.values))\n",
    "\n",
    "    ax = plt.subplot(122, projection= ccrs.Mercator())\n",
    "\n",
    "    ax.coastlines()\n",
    "    dpth_contours = np.append(np.arange(-5000, -500, 500), np.arange(-500, 0, 50)) \n",
    "\n",
    "    plt.contourf( etopo1.lon, etopo1.lat, etopo1.topo, dpth_contours , \n",
    "                 transform=ccrs.PlateCarree(), cmap='Blues_r', zorder=0)\n",
    "\n",
    "    # plt.pcolormesh(etopo1.lon, etopo1.lat, etopo1.topo, transform=ccrs.PlateCarree(), vmin=-4000, vmax=0, cmap=\"Blues_r\")\n",
    "\n",
    "    plt.plot(ru29ds.lon, ru29ds.lat, 'k.', \n",
    "             transform=ccrs.PlateCarree())\n",
    "    plt.plot(sec.lon, sec.lat, 'r.', transform=ccrs.PlateCarree())\n",
    "\n",
    "    ax.set_extent((-65.0,-64.5, 17.6, 18.5) )\n",
    "\n",
    "    ax.gridlines(draw_labels=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_dist_from_point( inlat, inlon, origlat, origlon):\n",
    "    \"\"\" return a vector of distances from an origin \"\"\"\n",
    "    import geopy.distance\n",
    "    out_vec = np.empty_like(inlon) \n",
    "    \n",
    "    for j in range(len(inlon)):\n",
    "        if np.isnan(inlon[j]):\n",
    "            out_vec[j] = np.NaN\n",
    "        else:\n",
    "            out_vec[j] = geopy.distance.distance((inlat[j], inlon[j]), (origlat, origlon)).km\n",
    "    return out_vec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(24)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "southern_point = sec.lat.argmin().values\n",
    "southern_point"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get the distance from the southernmost point\n",
    "dist = get_dist_from_point( sec.lat, sec.lon, \n",
    "                           sec.lat[southern_point], sec.lon[southern_point])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
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       "\n",
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       "\n",
       ".xr-attrs dt, 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",
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       "  padding-right: 10px;\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                (date: 25, depth: 199)\n",
       "Coordinates:\n",
       "  * date                   (date) datetime64[ns] 2020-09-13T15:21:18.54965913...\n",
       "  * depth                  (depth) float64 2.5 7.5 12.5 ... 982.5 987.5 992.5\n",
       "    lat                    (date) float64 18.14 18.13 18.11 ... 17.83 17.82\n",
       "    lon                    (date) float64 -64.77 -64.77 -64.77 ... -64.8 -64.79\n",
       "    distance               (date) float64 35.11 34.24 32.64 ... 2.319 1.165 0.0\n",
       "Data variables:\n",
       "    u                      (date) float64 nan -0.1233 nan ... nan -0.07592 nan\n",
       "    v                      (date) float64 nan 0.01614 nan ... nan 0.01256 nan\n",
       "    potential_temperature  (depth, date) float64 29.64 29.72 29.72 ... nan nan\n",
       "    salinity               (depth, date) float64 34.63 34.63 34.58 ... nan nan\n",
       "    cdom                   (depth, date) float64 nan 0.0 nan 0.0 ... nan nan nan\n",
       "    chlorophyll_a          (depth, date) float64 nan 0.0 nan 0.0 ... nan nan nan\n",
       "    beta_700nm             (depth, date) float64 nan 0.0 nan 0.0 ... nan nan nan</pre><div class='xr-wrap' hidden><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-90e052ea-4c07-44c1-a886-2efe41b5d91e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-90e052ea-4c07-44c1-a886-2efe41b5d91e' 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'>date</span>: 25</li><li><span class='xr-has-index'>depth</span>: 199</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d09e9bc6-0feb-4304-8647-41b217d01d9c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d09e9bc6-0feb-4304-8647-41b217d01d9c' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>date</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-09-13T15:21:18.549659136 .....</div><input id='attrs-5a9267f4-5dc3-4bc9-8791-37fd7225c30d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5a9267f4-5dc3-4bc9-8791-37fd7225c30d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebef0543-d3ac-4f99-8edc-bcd079561ced' class='xr-var-data-in' type='checkbox'><label for='data-ebef0543-d3ac-4f99-8edc-bcd079561ced' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-09-13T15:21:18.549659136&#x27;, &#x27;2020-09-13T17:07:41.759956224&#x27;,\n",
       "       &#x27;2020-09-13T18:31:49.120110592&#x27;, &#x27;2020-09-13T20:14:38.537905408&#x27;,\n",
       "       &#x27;2020-09-13T21:53:06.141856000&#x27;, &#x27;2020-09-13T23:34:11.771728128&#x27;,\n",
       "       &#x27;2020-09-14T00:55:50.245775616&#x27;, &#x27;2020-09-14T02:46:35.384464640&#x27;,\n",
       "       &#x27;2020-09-14T04:10:17.572036096&#x27;, &#x27;2020-09-14T05:56:54.171309568&#x27;,\n",
       "       &#x27;2020-09-14T07:35:01.173025280&#x27;, &#x27;2020-09-14T09:19:15.946555136&#x27;,\n",
       "       &#x27;2020-09-14T10:58:37.297297152&#x27;, &#x27;2020-09-14T12:06:35.475154432&#x27;,\n",
       "       &#x27;2020-09-14T12:54:42.049548800&#x27;, &#x27;2020-09-14T14:23:20.845493504&#x27;,\n",
       "       &#x27;2020-09-14T16:02:33.089332736&#x27;, &#x27;2020-09-14T17:54:45.796717056&#x27;,\n",
       "       &#x27;2020-09-14T19:27:30.327516160&#x27;, &#x27;2020-09-14T21:11:39.679191296&#x27;,\n",
       "       &#x27;2020-09-14T22:45:39.964131840&#x27;, &#x27;2020-09-15T00:25:31.025450240&#x27;,\n",
       "       &#x27;2020-09-15T02:02:32.227055104&#x27;, &#x27;2020-09-15T03:41:04.826278400&#x27;,\n",
       "       &#x27;2020-09-15T05:17:05.880796160&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>depth</span></div><div class='xr-var-dims'>(depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.5 7.5 12.5 ... 982.5 987.5 992.5</div><input id='attrs-abe126e7-8259-48a9-89ff-80b776d8a376' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-abe126e7-8259-48a9-89ff-80b776d8a376' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99cb7c64-3bc6-4c45-b70b-028f312d97a4' class='xr-var-data-in' type='checkbox'><label for='data-99cb7c64-3bc6-4c45-b70b-028f312d97a4' 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([  2.5,   7.5,  12.5,  17.5,  22.5,  27.5,  32.5,  37.5,  42.5,  47.5,\n",
       "        52.5,  57.5,  62.5,  67.5,  72.5,  77.5,  82.5,  87.5,  92.5,  97.5,\n",
       "       102.5, 107.5, 112.5, 117.5, 122.5, 127.5, 132.5, 137.5, 142.5, 147.5,\n",
       "       152.5, 157.5, 162.5, 167.5, 172.5, 177.5, 182.5, 187.5, 192.5, 197.5,\n",
       "       202.5, 207.5, 212.5, 217.5, 222.5, 227.5, 232.5, 237.5, 242.5, 247.5,\n",
       "       252.5, 257.5, 262.5, 267.5, 272.5, 277.5, 282.5, 287.5, 292.5, 297.5,\n",
       "       302.5, 307.5, 312.5, 317.5, 322.5, 327.5, 332.5, 337.5, 342.5, 347.5,\n",
       "       352.5, 357.5, 362.5, 367.5, 372.5, 377.5, 382.5, 387.5, 392.5, 397.5,\n",
       "       402.5, 407.5, 412.5, 417.5, 422.5, 427.5, 432.5, 437.5, 442.5, 447.5,\n",
       "       452.5, 457.5, 462.5, 467.5, 472.5, 477.5, 482.5, 487.5, 492.5, 497.5,\n",
       "       502.5, 507.5, 512.5, 517.5, 522.5, 527.5, 532.5, 537.5, 542.5, 547.5,\n",
       "       552.5, 557.5, 562.5, 567.5, 572.5, 577.5, 582.5, 587.5, 592.5, 597.5,\n",
       "       602.5, 607.5, 612.5, 617.5, 622.5, 627.5, 632.5, 637.5, 642.5, 647.5,\n",
       "       652.5, 657.5, 662.5, 667.5, 672.5, 677.5, 682.5, 687.5, 692.5, 697.5,\n",
       "       702.5, 707.5, 712.5, 717.5, 722.5, 727.5, 732.5, 737.5, 742.5, 747.5,\n",
       "       752.5, 757.5, 762.5, 767.5, 772.5, 777.5, 782.5, 787.5, 792.5, 797.5,\n",
       "       802.5, 807.5, 812.5, 817.5, 822.5, 827.5, 832.5, 837.5, 842.5, 847.5,\n",
       "       852.5, 857.5, 862.5, 867.5, 872.5, 877.5, 882.5, 887.5, 892.5, 897.5,\n",
       "       902.5, 907.5, 912.5, 917.5, 922.5, 927.5, 932.5, 937.5, 942.5, 947.5,\n",
       "       952.5, 957.5, 962.5, 967.5, 972.5, 977.5, 982.5, 987.5, 992.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.14 18.13 18.11 ... 17.83 17.82</div><input id='attrs-ede03b5d-b1f6-4de0-989d-71e4496a3e48' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ede03b5d-b1f6-4de0-989d-71e4496a3e48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44389c61-5745-49b4-a9f3-06555f444c79' class='xr-var-data-in' type='checkbox'><label for='data-44389c61-5745-49b4-a9f3-06555f444c79' 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([18.13708683, 18.12910994, 18.11464183, 18.10226858, 18.08459795,\n",
       "       18.07047615, 18.05547662, 18.04017702, 18.02742423, 18.01554809,\n",
       "       18.00089459, 17.99008639, 17.97349359, 17.96473608, 17.95659512,\n",
       "       17.94778405, 17.93270369, 17.91788669, 17.90285801, 17.88771859,\n",
       "       17.87051962, 17.85635371, 17.83873192, 17.82877688, 17.82028577])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-64.77 -64.77 ... -64.8 -64.79</div><input id='attrs-583aa46c-7220-49f8-ae5b-aae51fc061fa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-583aa46c-7220-49f8-ae5b-aae51fc061fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-852a5d75-6595-4040-b23c-a885003cd612' class='xr-var-data-in' type='checkbox'><label for='data-852a5d75-6595-4040-b23c-a885003cd612' 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([-64.77350987, -64.77153971, -64.77260582, -64.77806199,\n",
       "       -64.78073159, -64.78533438, -64.78791663, -64.79076527,\n",
       "       -64.79143176, -64.79377758, -64.79407335, -64.79776861,\n",
       "       -64.79807813, -64.7997694 , -64.80182428, -64.80234919,\n",
       "       -64.79917538, -64.79741003, -64.79699716, -64.79759942,\n",
       "       -64.79883407, -64.80132171, -64.8015935 , -64.79770745,\n",
       "       -64.79121655])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>distance</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>35.11 34.24 32.64 ... 1.165 0.0</div><input id='attrs-bca86dac-8fe4-4f03-a35e-4754e42b2113' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bca86dac-8fe4-4f03-a35e-4754e42b2113' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ee24c6d-5544-4637-87cb-13dcd019465d' class='xr-var-data-in' type='checkbox'><label for='data-1ee24c6d-5544-4637-87cb-13dcd019465d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([35.1137086 , 34.24417276, 32.63892056, 31.2409335 , 29.27510901,\n",
       "       27.69802321, 26.03319599, 24.33752084, 22.92599719, 21.61322992,\n",
       "       19.9919624 , 18.80623485, 16.9725029 , 16.01330921, 15.12842   ,\n",
       "       14.16062143, 12.47085716, 10.82228722,  9.15951081,  7.49397887,\n",
       "        5.61813814,  4.13316126,  2.3190825 ,  1.16475975,  0.        ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0d4e056a-70b5-4a11-8a27-c8758bdc3574' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0d4e056a-70b5-4a11-8a27-c8758bdc3574' class='xr-section-summary' >Data variables: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>u</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan -0.1233 nan ... -0.07592 nan</div><input id='attrs-93370ace-f8d5-4bfc-ad08-e94aa798feb7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-93370ace-f8d5-4bfc-ad08-e94aa798feb7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d077722-1832-463e-898d-8d22d6b9a33d' class='xr-var-data-in' type='checkbox'><label for='data-6d077722-1832-463e-898d-8d22d6b9a33d' 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([        nan, -0.1233245 ,         nan, -0.1082328 ,         nan,\n",
       "       -0.120248  ,         nan, -0.1349335 ,         nan, -0.128184  ,\n",
       "               nan, -0.1152105 ,         nan, -0.0945392 ,         nan,\n",
       "       -0.1244476 ,         nan, -0.1185813 ,         nan, -0.07129525,\n",
       "               nan, -0.0717682 ,         nan, -0.07592225,         nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 0.01614 nan ... nan 0.01256 nan</div><input id='attrs-9ae82ba6-a16e-4287-a900-3ce9fb8269ab' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9ae82ba6-a16e-4287-a900-3ce9fb8269ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c80962ce-be8a-41c9-8450-1ba03ecf9731' class='xr-var-data-in' type='checkbox'><label for='data-c80962ce-be8a-41c9-8450-1ba03ecf9731' 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([       nan, 0.01614075,        nan, 0.0269875 ,        nan,\n",
       "       0.0267736 ,        nan, 0.0268996 ,        nan, 0.0620481 ,\n",
       "              nan, 0.06552025,        nan, 0.0337076 ,        nan,\n",
       "       0.04138625,        nan, 0.04401135,        nan, 0.04041715,\n",
       "              nan, 0.0130525 ,        nan, 0.01255945,        nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>potential_temperature</span></div><div class='xr-var-dims'>(depth, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>29.64 29.72 29.72 ... nan nan nan</div><input id='attrs-95c3d128-f8a4-48cd-a7da-dd6eda447739' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-95c3d128-f8a4-48cd-a7da-dd6eda447739' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95e5705c-c43e-4b3c-83c8-f303a37f21f3' class='xr-var-data-in' type='checkbox'><label for='data-95e5705c-c43e-4b3c-83c8-f303a37f21f3' 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([[29.639973  , 29.71956   , 29.716516  , ..., 29.708908  ,\n",
       "        29.682753  , 29.661303  ],\n",
       "       [29.6307075 , 29.652412  , 29.6622815 , ..., 29.69220467,\n",
       "        29.6906175 , 29.66407767],\n",
       "       [29.6212446 , 29.6235315 , 29.5981606 , ..., 29.55560967,\n",
       "        29.517335  , 29.64420533],\n",
       "       ...,\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salinity</span></div><div class='xr-var-dims'>(depth, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>34.63 34.63 34.58 ... nan nan nan</div><input id='attrs-5c467221-b12d-45cb-82f0-1ae493546b09' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5c467221-b12d-45cb-82f0-1ae493546b09' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0470a3b-6698-4996-be79-daffb866b457' class='xr-var-data-in' type='checkbox'><label for='data-d0470a3b-6698-4996-be79-daffb866b457' 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([[34.630882  , 34.62966   , 34.579704  , ..., 34.834625  ,\n",
       "        34.83599   , 34.834034  ],\n",
       "       [34.62889275, 34.629734  , 34.577959  , ..., 34.833323  ,\n",
       "        34.83524   , 34.83530967],\n",
       "       [34.6298768 , 34.6304925 , 34.5805844 , ..., 34.84838   ,\n",
       "        34.8827715 , 34.833982  ],\n",
       "       ...,\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cdom</span></div><div class='xr-var-dims'>(depth, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 0.0 nan 0.0 ... nan nan nan nan</div><input id='attrs-4cee2a5e-93fe-41a6-8205-8c34365149af' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4cee2a5e-93fe-41a6-8205-8c34365149af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a3437bf-6b59-4fb6-97d7-6474a718fe91' class='xr-var-data-in' type='checkbox'><label for='data-4a3437bf-6b59-4fb6-97d7-6474a718fe91' 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([[    nan, 0.     ,     nan, ...,     nan, 0.     ,     nan],\n",
       "       [    nan, 1.03615,     nan, ...,     nan, 0.85595,     nan],\n",
       "       [    nan, 0.901  ,     nan, ...,     nan, 0.94605,     nan],\n",
       "       ...,\n",
       "       [    nan,     nan,     nan, ...,     nan,     nan,     nan],\n",
       "       [    nan,     nan,     nan, ...,     nan,     nan,     nan],\n",
       "       [    nan,     nan,     nan, ...,     nan,     nan,     nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>chlorophyll_a</span></div><div class='xr-var-dims'>(depth, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 0.0 nan 0.0 ... nan nan nan nan</div><input id='attrs-2760efa8-3152-4a2d-a2c0-4327d265f3c0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2760efa8-3152-4a2d-a2c0-4327d265f3c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8426edf6-4ebb-4fea-b2e2-0e185b7c74e3' class='xr-var-data-in' type='checkbox'><label for='data-8426edf6-4ebb-4fea-b2e2-0e185b7c74e3' 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([[   nan, 0.    ,    nan, ...,    nan, 0.    ,    nan],\n",
       "       [   nan, 0.09  ,    nan, ...,    nan, 0.126 ,    nan],\n",
       "       [   nan, 0.1008,    nan, ...,    nan, 0.1044,    nan],\n",
       "       ...,\n",
       "       [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "       [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "       [   nan,    nan,    nan, ...,    nan,    nan,    nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beta_700nm</span></div><div class='xr-var-dims'>(depth, date)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 0.0 nan 0.0 ... nan nan nan nan</div><input id='attrs-297b3f62-39e8-4bdc-92b2-a4e267fa760f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-297b3f62-39e8-4bdc-92b2-a4e267fa760f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb68c7fb-ece5-4374-8411-dcbb4d35f361' class='xr-var-data-in' type='checkbox'><label for='data-bb68c7fb-ece5-4374-8411-dcbb4d35f361' 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([[       nan, 0.        ,        nan, ...,        nan, 0.        ,\n",
       "               nan],\n",
       "       [       nan, 0.00011333,        nan, ...,        nan, 0.00012142,\n",
       "               nan],\n",
       "       [       nan, 0.00011009,        nan, ...,        nan, 0.00013438,\n",
       "               nan],\n",
       "       ...,\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan],\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan],\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8b1d7ffa-95f4-41d7-9c77-b412358c5fd5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8b1d7ffa-95f4-41d7-9c77-b412358c5fd5' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                (date: 25, depth: 199)\n",
       "Coordinates:\n",
       "  * date                   (date) datetime64[ns] 2020-09-13T15:21:18.54965913...\n",
       "  * depth                  (depth) float64 2.5 7.5 12.5 ... 982.5 987.5 992.5\n",
       "    lat                    (date) float64 18.14 18.13 18.11 ... 17.83 17.82\n",
       "    lon                    (date) float64 -64.77 -64.77 -64.77 ... -64.8 -64.79\n",
       "    distance               (date) float64 35.11 34.24 32.64 ... 2.319 1.165 0.0\n",
       "Data variables:\n",
       "    u                      (date) float64 nan -0.1233 nan ... nan -0.07592 nan\n",
       "    v                      (date) float64 nan 0.01614 nan ... nan 0.01256 nan\n",
       "    potential_temperature  (depth, date) float64 29.64 29.72 29.72 ... nan nan\n",
       "    salinity               (depth, date) float64 34.63 34.63 34.58 ... nan nan\n",
       "    cdom                   (depth, date) float64 nan 0.0 nan 0.0 ... nan nan nan\n",
       "    chlorophyll_a          (depth, date) float64 nan 0.0 nan 0.0 ... nan nan nan\n",
       "    beta_700nm             (depth, date) float64 nan 0.0 nan 0.0 ... nan nan nan"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# add the distance to the dataframe\n",
    "# sec['distance'] = (('date'), dist)\n",
    "sec = sec.assign_coords(distance = ('date', dist))\n",
    "sec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-7-1634e642a96d>:6: MatplotlibDeprecationWarning: shading='flat' when X and Y have the same dimensions as C is deprecated since 3.3.  Either specify the corners of the quadrilaterals with X and Y, or pass shading='auto', 'nearest' or 'gouraud', or set rcParams['pcolor.shading'].  This will become an error two minor releases later.\n",
      "  plt.pcolormesh(sec.lat, sec.depth, sec.potential_temperature )\n"
     ]
    },
    {
     "data": {
      "image/png": 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bbLNmYZb+O3DgQLp06RLVobWJ74NolQbdbrNDBx3/9ObG5TuIuWBo1ODA8Y1rVhvXZ0rK8FLFDPTG/ITZje4nKLxEl2dfInpkdwghlH3rkNx1DNxsXmAdn8+Lbmh1behg/dysMrgvvcTuoB/Mm6qqO5n2Y+AOdfr4c71Mizez9WYLQrVjCcZ1xTybEZz8PdBDVVVEBPheVbtl7XMl8BOc4OUOOK6bx1X1+Fx152rbjZl5FHgdeDtXcPLAgTvoTTfdlMfR5s/KlStbPdwjyOQSqr1MVqxYwZdffsn6669P586d6dKlC7W1/sowkUgwffp0BgwYQE2Nt/0kqE0/vv/+e+bNm0ddXR3du3dn+fLlrFixgk6dOtG5c2fWrFnD6tWrERE6d+5Mp06d6NSpEyJCIpFg/vz5NDY2UltbS6dOnejYsWPzkis5q6rS0NDA2rVrWyyNjY1ss802vtayPffc0/d3pC1+H6CKLWLgLSJWpbwvbtJEvaTLGljEwlhfTK1TpgH2JjFia7WwS28qW4PEj3F7Buc86LrEY4WLQtPraiJUG0LGGgbdJ98lOwXWEYUwVsxfCiwlZz6wBzAB2Av4PLuAql4EXATgWgB+mX7oiEhvVV3gFj0cmG7SqKp+IiIf44xa8xyVlqa2ro7hI0ebVBsZkyZOaNVmMS1iEyZM8E3FsHjxYgYPHsydd97JfvvtZ1zno48+yrJly7jssstCt+nFe++9xwUXXMCCBQu47rrr2H///RFXna5Zs4b//ve/fPDBBwwcOJChQ4ey8cYbe7b5ox/9KNKM+Pfccw8nn3wyr7zyCttuu23wDrmp+O8DVLkQs1gsxcH05cFSPETkQZwRYL1EZB5wKc5Q+xtFpAZYC5zqlt0E+LuqHhBQ7TXukH8FZgM/D9Gly4FpIcq3Sx5//HG+/vprDjzwwGarUY8ePdhqq63o169fi799+/alpqaGhoYGli1bxoIFC4IbCKCxsZHTTz+df//731x66aWccsopraxsHTt25IADDuCAA4JuF4ewIuyDDz5g1qxZ7LnnnnTr1nKQ4gknnADA3nvvzSuvvMJ2221nVGdb/j5UrRBLaowVqY6t1vu6FSMOelnmY3nzwtTNZ/rwS6aCrUeNhhaxlE9G+1oPS5eXRSoZIiN+PMdFMDn2tZr7FTdlcF6CWBXQRppcx7KuTDizUtA5WKWt4/Zat2mju6oFVT3WZ9NQj7LzgVYPHVWdgGMtSH/+SYj2ZwMDMj6/DxFO/1FEyhkfduqpp3LKKaeQSCSa3XGLFy9m5syZzJw5kxkzZvDMM8/w+eefs2DBAjbbbDPAmQrogQceKLj9119/nalTp/Lpp5/SvXv3gusLw/z587nkkkt47rnnGDBgAMcffzxDhw5l7Nix7L///uywww6ICCeccAJvvfUWV155Jffee29wxbTt70PVCjFFWJtq/W3zEwZ1IYLrkwbuqRUp8zeEWsO2TVyiACkD0bI6hFD0olG8BkK0vp06xxqM61yb47zGDYL1g1hVcA2wNhXdVybMPQfBQszr/LcqE6pFb9SgLxZLJVLuAP00IkJtbS21tbV07dqVDTbYwNPy09DQwKxZs1i0aBEjR44kFitc57755puMGTOmpCIslUpx+eWX85e//IVTTjmlWQSuWrWK1157jeeff54jjjiCBQsWsOWWW9KvXz9ef/11XnvtteDKq4CqFWIWi6V4mMYrWiyVgEjliLAw1NfXs+2220YRK9XMG2+8wZlnnhlZfSaMHz+ep556iqlTp9K3b9/m9Z07d27hAl2+fDlffPEFn3/+Oaeffjr9+/cvaT/LRdUKsaSKZ2C+n7XIy9Xmh4nlIR5iNGqjYZZ6PzdhPpiM/MzVZsyjz17npcmwnSDCjGr1JYLTt0LNLJ21Bhn4w17PoAEWJtc0CtektYhZKpG2KLRKTTKZZNKkSdx3330la/Prr7/m//2//8eECRNaiDAvunXrxuDBgxk8eHBpOlchVK0QU8QzZsjvTb5ezL/FJg9QE/dlmkaiizsCM6FYqGsy7pGzy8t1auImNcHELRvUVlAMmQnLkiYzUkIHCZ7dwtQlnSbomvmNCM7E67qFRZFQsX8WSzGwwis806ZNY6ONNmKDDTbIa//ly5ezbNkyli9fTteuXrlPW7JkyRKOOOIIzjzzTLbffvu82mwPVLUQC2ONaQjxkDYRBVHlz8rENKbIxDJiKsRiPg/uuIdFzCvpqmlcWymIoi+rPRLZetHkEUOXTVgrX9B1NembSWJcE6xr0lJqrPAqjEQiwVlnncUvfvGLvPb/5ptv6NOnD71796Zr164sXryYP/zhD3z11Vccd9xxxOMtf5/mzp3LmDFjOPjgg/nd734XxSFULVUrxCwWS3GwrklLKbECLBquuuoqunTpkrcQe+2119hkk02YO3cu4GTjf+6557jmmmu49tpr+fGPf8zgwYP5/vvveeKJJ3jppZe49NJLOe+886I8jKqkaoVYWIvYimTrVBd++FmJMqlVc7dTVO67NCbWPdOErh3wjp1rovW59YqLCxN7l8vdFUVsU5OhCzgXpmk/jKxvIQ10XqOAMzFxSUczV7dUlKXTUp1YARYdU6ZM4a9//StTp07Na+Tl888/z9lnn81LL73UvK62tpbu3bszceJEXnzxRf773/9yww030LFjRw477DBuvvlmNtxwwygPo2qpWiGWUqEh4MGVSZh4nZhReggzF1YYGsXscpkI0JThg3Stzy3itb/XOYwqWN9E/Abl5YqiL6b3lEl/TfK9ZRLU/1JZqZy5Jq0Qs0SLFV7FobGxkRNOOIEbb7yRPn36hN7/8ccf57TTTuOpp55ixx13bLVdRBg7dixjx46NorvtkqoVYhAuJihM2VqDeQ/DBmKb0GT44DYRHMaixKec5/nyWBVkxckkVyC5ybRNQdfFVHxGgUlbqyMSqWlMrmnYJLJ+WNekJSqsACsuf/nLX/jBD37Aj3/841D7rVmzhvPPP5+XXnqJf//73+y8885F6qGlqoWYxWKJHlXrmrQUjhVgxeerr77immuuYfLkyc3zSAZx33338atf/YoOHTqw6667Mm3atFbTEFmipWqFmOM+aX3jRfIAMQhXSoWKjTL7gphasUysMU2pwqwxXn3xGkkXJs1BruMzsTCmUrnPYylHTUbhSs0m6D4xuu4RCaio4xot7QsrwopPQ0MD5557LmeddRZbbrml0T5Tpkzh/PPP55577qFHjx4MHz7cWMBZ8qeKhZiEEhtR50UyDYYPg6lrzUSwFSOGrZhxQwmDY6oJEGsmdQRhKuZMroGJuzWTShE/zqhJaxGz5EesMm7jqmLixIl88cUXXHLJJSxatIhFixaxevVqhgwZwv33329Ux6pVqxg3bhw33XQT+++/f5F7bMmkuoWYl9XGL1N8iFF5DQYiqygxYoZCwqRcQ4FzJnpZv7xyVIUaBJEjx1XCQFQ3SfHFgblVMvhpEzanV1DbJiNLo8kjZl2TFkul8NRTT3HKKadw6623cuWVV7Lhhhuy4YYb0qNHD2NrViqV4txzz2WXXXbhmGOOKXKPLdlUrRCzWCzFwY6atFgqgzvvvJNLLrmE559/nhUrVrD77ruHrmP+/PmceOKJrFq1iueee64IvbQEUbVCLKkxljV1arXeL3anNoKpXzIJ86AKcqk112mYzXxNMtjtaGJhAn93mOkUTqkQfohc1hojC1NgDFXhPpFCLYktCGmcCrKImVzTmlg0ltowU3hZLIXS2NjIihUrWH/99cvdlYpAVbnqqqsYP348r732GltvvTUTJkwIXc+TTz7Jaaedxumnn85vf/tbamqqVhJUNFV91r1ERJPfg9QgJUUYmhLmMVimItA0qN/kgWwqKEo5lU2uGDiT4PcgohDbUQqxsOk0lidyTzjeuaYhsI5kBP23c01aSs3rr7/Ofvvtx/Dhwzn44IM55JBD6N+/f7sNJP/666+54oorWLt2Lbvvvjs9e/bk3HPP5ZprrmG99daje/fudO7cmU6dOtG5c2c6d+5Mz5496dmzZ/P2G264gZdffpnHH3+cESNGlPuQ2jVVLcQsFovF0vbZZ599uOCCCxg/fjzbb789BxxwAPF4nEMOOYSjjz663QmJPn36sGLFCtauXcvSpUtZunQps2bN4owzzmDp0qUsW7aM1atXs3r1ahYtWsTKlStZtmwZ3333HUuXLuW7775j1KhRvPfeezY1RQVQtUJM1dt94meFMHHnpak3sJ6FGeEWxWi+TExG45lauhp9LCheFiovS1xuG445CYMBEoHHHYERZ1XScLJ0g2uwKsQ9B7A2mXvMfxRWQ1NKmRzXYgG4+uqrmTNnDt999x2ffPIJn3/+OU8//TTjxo1j0KBBXHfddcZpGqqFDh060Lt3b3r37s2iRYsYPXp0ubtkyYPqFWKIpzCIIgVAKuCBGBbTkWy1hvE9JscY9FBPk/B54MYMRyiGOd+mffIjSPzURXDtG5LRfWVWh3BfAyQCZlZIxA1SZkQwatKmr7AUyrx58/jPf/7DpEmTEBE6depEx44d6dixo+///fv359577+VnP/sZI0aM4NFHH+WSSy7hl7/8JX/+858ZNmwYJ598Mr/97W/btJVn1qxZdOvWzcbDtSOqWIh5iwi/+KnGEDnHOsSDLWKhrBOGz8YoLR5hjtcULyvbajUXG41J/z7VxEpn7cmFnzDNxsRiFCSssgm6Zn7Wy0zqIoiFVMQG61vyZvr06QwaNIg999yT3XbbjZqaGlavXs2aNWv4/vvv+eabb5o/r1mzptnFNmPGDG666SYeeOABbrnlFnbddVfuuOMODj30UC666CJOOOEELr74Yrbddlv+9Kc/ceKJJ+Y1wXW5+PLLL/nd737HCy+8QGNjI1tvvTX77rsv++yzD7vtthsdOkTlX7BUGlUrxCwWS/Gw6Sss+bLlllvy4YcfhhZJ7777LscddxzPPfccN998MzvttBNHH300b731Fn/605/YZJNNuPvuu3nnnXc455xzuPXWW7nxxhvZbbfdinQk0fHuu++y++6785vf/IbbbruN+vp6Jk2axCuvvMIll1zC9OnTGT58eLMwGzRoUJsSmZbcVLUQ87JK+LnKwliITOKrwlhwTN1FNYYWMRN3oGmMmF85rza8ypr22a/ONGGtR8XC1J1ocn7DWiVzWQwB1hq4TaMYBevEX1bG9bC0PTp27JiXiBgyZAhTp07l/PPPZ9CgQVxzzTUceOCBXH311Wy99dacdNJJAOy888688cYbPPjggxxzzDGMHDmSn/3sZ1EfRqRsu+229OzZkzFjxtC1a1cARo0axahRo/jDH/7A999/z4QJE3jllVcYN24c3377LaNHj2bIkCHsuOOO7LjjjmU+AkshVK0QUxVPN9LaROGHbPIwCyMcTIVYwvDHy8RFZSoCCn1wJ0JYTnKdMxNhG3Qeo3DHrk5EFx8YVlwGiR+T+qJxSUvFTLdkaV907tyZ22+/nSeeeIKrrrqK3XffncmTJ7Pzzju3KCciHHfccRx66KFcc801zJgxgzfffJNf//rXdOrUOr9kuVm6dCkjRozg0ksv5YUXXmi1vXv37hx66KEceuihgBNj99prr/Hee+9x44038t577/Hb3/6WW2+9lXPOOYcRI0aULbXHkiVLmD59OkOHDqVLly5l6UNbo2qFWArxFF2mMT45Mbm/Q8REFzqCsVW5AMsJlM7CFKadXHODJlPBQkwChFgUcWaFWhIzCTvxugbUaSKyIrGIYS1ilvJy+OGHc/jhhweW69y5M7///e956aWXuPPOO9l222256qqrOPbYY8uag0xVmTJlCs888wzPPvssc+bMYezYsZx77rlG+/fp04dx48Yxbty45vpeeeUV4vE4J554Ij169OC8887jyCOPpK4u+nmF0zQ2NnLPPfcwb948GhoamDhxIlOnTmXrrbfm008/Zffdd+euu+5io402KlofqgH7a2qxWEKTJBZ6sVjKRV1dHQ899BAPPPAAN9xwAyNGjGDSpEkl78fKlSu59dZb2X777Tn++ONZu3YtN954IwsXLuT+++9n7NixedUrItTW1vKLX/yCTz/9lN/97nfceeedbLnlltxxxx0kEtEmLP/+++/ZZpttmDFjBs899xyrV68mHo9zxhlnsGjRIt555x2++uorampquOCCCyJtuxqpWouYqlnMTD7UxYPTSIRxAZm6Jk3dqpFY/VySISxaXhapxhDXIGdbBqdTU7nfcNcmCn8DNj0fJtegMQI3eSZNMYOJ0SNwTSpS0hkXLJaoGDlyJG+//Tb//Oc/OeKIIxg9ejRXXXUVm222WVHbnTlzJjfffDP//Oc/GT16NLfddhujRo0qilUuFotx8MEHc/DBB/P2229z0UUXcd111/GnP/2JI444IpIg/65du9K9e3d69uzJ8ccfz0477UTv3r1blOnevTu//e1vOe200wpur9qp2tfUlAoNyZpWS1Mq7rkkUzHjJaUSuDQl48ZLo+mSMlwM6vI7D9lLQmPGi9f+YUimxHdpTNQELmsDlkQylnMxwfRcmPQ3kYqFWlTJuXjd79mL13nJB2sRs+TLypUruf3222lqaipL+7FYjBNOOIFPP/2UH/7whwwaNIhLL72UVatWFaW9//73vwwbNoyOHTsybdo0HnvsMfbYY4+SuEZ32WUXXnnlFW6++Wauvvpqdt55Z15++eWC643FYjzwwAPU1NRwyy23MGDAAPr06cPRRx/Ne++911xu880356uvviq4vWqnii1iwpqm1oHVfnE29TXmptugWCQIZ5UyycIOgGGIU1AsEZjHCvnV5WUZKtRKknPUZCL4fAb9riUKz2VqbMUyybOVDLDgZZOS3MLWRPhqBOdAsZn1Lfkzd+5c7rrrLv73v/9x7733li0NQ5cuXfjjH//I//3f/3HhhReyzTbbcOWVVzJu3LjI+rRy5UpOPvlk7r33Xg488MBI6gyLiDSnvXjsscc47rjj+O9//8uAAQMKqnerrbZi3rx5vPDCC6gqs2fP5tlnn2Xs2LGMHTuWP/3pT3Tu3DlSwb2mPNq96NhfU4vFEhIhmcdisQD079+f//73v8yZM4fzzz8fjeLtoAB+8IMf8OCDD/Lwww/z17/+leHDh/Pmm29GUvfFF1/M7rvvXjQRtmbNGu666y6GDRvG9OnTufjii5k2bZrnORURjjzySE499VTuvPPOSPshImyxxRacddZZfPbZZ2y66aYMGjSI7777jsbGxkjaqFYRBlVsEUupsKbBPNWAiZWrWJhNXIRRnBSYWaZMrGYAjQnvRk3TF5i2A7n7nTKIzSpF3JLJiNRiEfS8MjlHkfQDaxGzFEanTp145plnGDVqFFdeeSUXX3yx0X5r165tzjCfTCbZd999ufHGGxk4cGDBfUoH8D/wwAMcdthhPPnkkwVNJv7aa6/x2GOP8eGHHxbcNz/uuecefvWrX/Gvf/0LEeGrr77iiCOOIB6Pc+SRR3LUUUcxePDgFm7Qk046ieHDh3PVVVdRX282d24YunXrxuWXX87ixYv5xz/+EYlFLC3Cyi3ai0XVCjFFQj2YTGOEwExcxCNKZBq2XYAmg+M2rcvPfeblBvQadBDVeW3yEYSZBAmxKOZZTIV0J+YijEg1Icy5LhRr4bIUSo8ePXjxxRcZOXIk77//PrvssguDBg1i8ODBrLfeenzzzTdMmzaNd999l3fffZdp06YxZ84cfvKTn3DjjTfy6quv8uabb3LZZZfx2GOPRdKnWCzG8ccfT21tLaeeeirvvvtuXukfUqkUp556KrfddhvrrbdeJH3z4mc/+xl33XUXn3/+OYMGDeLqq6/mqquu4t133+WRRx7hqKOOQkQ44ogjEBGmT5/O9OnTWbNmDbNnz2abbbYpWt/OPvtshgwZUrALNFOENSWtEGtbqM+D2ec6NjaZn4qaeLDIShhOig3mD2StMbOdmcQeGbcZQiyoR56u6CxiERxTvPAvsemoSZMXt6iFWKlQlaJYxERkM+BeYGOciMjxqnqjiFwGnAJ86xa9WFWfi7wDlpLTu3dv3njjDZ5//nnee+89nnrqKd5//31EhHg8zuDBgxkyZAhHHnkkV1xxBb179+Y3v/kNAwcOpGvXrtx+++1cdNFFvPfeewwaNCiyfh199NHcc889XH/99Vx00UWh958/fz7Dhg3jkEMOiaxPXtTX1/PQQw8xbNgw/vGPfwCOm3Do0KEMHTqUK6+8kmnTpvHkk09SX1/PKaecwoABA9hiiy2KHpu3/fbbM378eA4++OBW28K6GdMiLGGQT7ItUnIhluPHdj3gIaAvMBs4WlWXuvtcBJyM48U7W1VfLHW/LRbLOoqU0DUBXKCq74pIV2CqiKSHeP1ZVa8rRqOW8rLxxhu3mIIolUqxZMkSevXq5Tmy8LbbbuPFF1/kzjvvZNy4cSxdupTf//73PPHEE5H1SUS49dZbm+ez3HLLLY33ffvtt1myZAk33XRTZP3JxRZbbMH48eP58ssv+e6771pY4ESEIUOGMGTIkJL0JZsTTjih1To/N2PS5+01lYJEKkUiqZEMNqpEyhHokf6x3Q4YDpwpIv2BC4FXVbUf8Kr7GXfbMcD2wFjgVpGA4WMumpLWi3ovJikp0kuuNAvpJShVQuZiUl+YOpsS8cDFPF2Hd188U3Z4tBPmPORaUikJXJKJWM4l6LqakEzGjJZUymAJfd/lvlZG3wmPe79SUNUFqvqu+/8KYAawaXl7ZSk1sViMDTbYIGd6hzFjxvDwww9TU1PDz3/+c95++22mTZsWaT/69u3LhRdeyGmnnRYqNqlr166ISKTCMIjDDjuMLl26cMstt5SszXxIi7DGRIo1TckWS2MixdqmlsvqhiRrGpMsXdXEirUJVjZEm5i2Uii5RUxVFwAL3P9XiEj6x/ZQYLRb7B5gAvAbd/2/VLUBmCUiM4FdgLdytkO4eJ4wOV1SBvo1jHA3bdn0FjSJjYsZTvfjV5fX4AYvMROUZLVF2RyiINlkktE192ajOgprYl05E4ET8u0uqE41uIejmuKo2HNNikhfYDAwGdgN+IWI/BSYgvMit7SoHbC0GTp27MiFF17Iz3/+cx588MFQ1qsgzj33XO6//37uv/9+jj/+eKN9tttuO+bOncvpp5/OokWLuOiii0qSMyyRSBQcj1VMMkXY2qYkK9ZWp6jKh7LGiGX92G7kijRUdYGIbOgW2xTInItiHj5vySJyKnAqQE2v7kXqtcXS3pF8XZO9RGRKxufxqjq+Ve0iXYDHgHNVdbmI3Ab8EUcD/hG4Hjgpnw5YqpMzzjiDtWvXMmzYMC644AIuuOCC0EH233zzDQ8++CCNjY0ceeSRbLnlltTU1HDNNdcwbtw49t9/f9Zff32juurr65k4cSJjx45l0aJF3HDDDS1islSVpUuXsmDBAr755ptWS3r9woUL2X333bn88svZbrvtfNtbu3YtK1eu5Kijjgp1zKUiLcISqRSNyZQVYVmUTYh5/Nj6FvVY52lLcH/UxwPU/3BTxctC42OFSIV5Y4l40m/zoobuJ4MyYVxZ3hvMBkIkIxrJF8ay5kfKOE9I4f1IGozylAgmIc8kyhGduXDSV+TV1mJV3SlXARGpxflduF9VHwdQ1YUZ2+8Ans2ncUv1Eo/H+dWvfsWRRx7JGWecwT//+U/OOussjjnmGHr27Jlz33feeYff/e53vPXWWxx++OF06NCB3XbbjZ49e7J06VJWrVrFtttuy4IFC4yFGMAmm2zC66+/zsEHH8zee+9N165dm4XWwoUL6dSpExtvvHHz0rt3bzbeeGMGDhzY/P/666/PAw88wB577MEhhxzCpZde6jkd08SJE+nYsSM9evQIe+qKRnZAfiLluBu/Xx0cqb94RUORelWZlEWIef3YAgtFpLdrDesNLHLXzwMy77w+wHyTdjxFl49K0RCpLlKmKe4NMdWAqXIEKvoJV8OHfhQCKlc/WhLQVgSRniYCCyCVDD7uWFh3RaBrMvi+jCrYtRhTFonzNnYnMENVb8hY3zttLQcOB6ZH3niVISJ3AQcBi1R1gLtuEPA3oANOpMMZqvp21n4dgNeBepznw6Oqeqm7bRPgPmAFME5VV7ojWn8N9FXVRW65larapegH6cEWW2zBc889x0svvcRdd93FhRdeyJgxYzj++ONJJBLU1LR85H388ceMHDmS2267jUcffZTOnTsDcPPNN/PBBx+wwQYbsOmmm+btWuzRowcvvfQSDz/8MN27d28WXRtttBEdO3Y0quOXv/wl//d//8c111zDoEGDOOmkk7joootaBOW//PLL7Ljjjnn1MQqCRkGqKo2JliIsarHVlu/5kgfr+/3YAk8D6SEWJwBPZaw/RkTqRWQLoB/Q4kT6tIQmWy+pZMxzCZrHr+XiH/TfvKRi5othuxgunoMUshbTunyD473OocexmbaD4nm90ksUBJ4TA1JJMVrMjllCLUH3h9+9HXiNwp5Hwg0yCDEYYjfgJ8BeIvKeuxwAXCMiH4rIB8CewHmhO93+uBtncFMm1wC/V9VBwO/cz9k0AHup6o7AIGCsiAx3t50NnAX8HcgMmFoMXBBVxwtFRBgzZgwPPfQQs2fPZq+99mL+/Plsvvnm/PrXv+ajjz4CnJiqE044gb/+9a+cdNJJzSIMaE6d0adPn4Ljuzp27MgJJ5zAYYcdxvDhw+nbt6+xCEvTo0cPrrjiCj788ENWrFjRPB3T6tWrAUeIdevWraB+hmFNk7Oo5hZhqoqqklQthSHhbtroPV8Oi1j6x/ZDEXnPXXcxcBXwsIicDMwFjgJQ1Y9E5GHgYxxFe6aqRuBkslgs+WIyYCUsqjoRb7OmzRkWElV93Y3BbbEaSD+tu+PhWVBneOBK92Otu6QfoXGclEMpWl6nu4ATReRqVf0ukgOIiJ49e3LaaacxYcIEXn31Ve655x72228/Nt10U/r27ct6663HKaecUu5uGrPJJpvwt7/9jfPPP5//9//+H/369eO8887jiy++aCEkTSjWlEGZI0zTKSkSSSVVZCXWlu/5coya9PuxBdjbZ5/LgcvDNeQT3+TzZh6V1SWzfXPMHmp+eVbywTSXn5/FxMuC5OkJDuOazHV4UaRZiGDkUmSuVlr+YJntEFRf/n0J1Q01m9TcUnGcC7woItfh/Oh4zt/jpgeaCmwF3KKqk91NNwP/BL4HjsvYZSXOg+kc4NKi9DwCtttuO6666iouv/xyXnnlFZ544gluuOGGkoxojJqtt96ahx56iClTpnDRRRdx4IEHGh1HMedr9BJg6fyrKc0vB9jcFasL7da5tIF7vnoz64P3w9snjEajHo4fpjrTNwXTHwyD6kyDrf1inYwFSZgvX64+lSM+zgvjfpQ+fYVRHREJyVLM62mJnNOB81T1MRE5GidEZJ/sQq7HYZCI9ACeEJEBqjpdVecAo3zqvgl4T0SuL1LfIyMejzNmzBjGjBlT7q4UzE477cTLLzs5jydMmOBbrmjWL7wFGDgiLKXqLoTKARaBAEvTJu756hViCoSxcoUZ5WgSqx/mOWXq5YlSjJiKP79ing9ir8LRxXcFEaxToziB0QnQsKJIA0agisHUW1GcAidGzE763QY5AecNHuARnLgXX1R1mYhMwIm7yTlAwi37AHBGUCcaGxtzioZisHLlypK2Wer2crUZtaU8s7pVK1cy6Y3XvMtoZnklmfXzlMhe4dKYSlFbeDfTVMQ9H0T1CjGLxVI07KTfbZL5wB44ybL3Aj7PLiAiGwBN7kOmI4714GrD+m8A3iHguVJXV8fo0aPNex0BEyZMKGmbpW7Pq818rGBhwyUmvfEaO49YZzDKdEWm0u5JhVRKW+UO8xo1GaElLE1F3PNBVLUQM7JcuYSYoxsjq0iY4QQeWeq9iHQ6GlPDjp/VxvPcFti/Al2TgUWiOH+mv1Mmk5SnCs/036I+E9d1BK5JxbomKx0ReRBnppJeIjIPJ47lFOBGEakB1uImv3aH6P9dVQ8AegP3uDEzMeBhVTXK26aqi0XkCeyo1rITRoSFEV9eccrZ83CnDOorRp6wtnzPV68QUxAP16SfRyXMOEyJR2vrNY+3ijBQ3LSqEAldCzaBFxysHxTNXjohZnIuvO7PnHUGFDcJ1o0mRsy6JisdVT3WZ9NQj7LzgQPc/z/Ame3EtJ3Lsj6fD5xv3FFLpEQpwIIGh6VSLX8OMwVYpjXMlEKtYW35nq9eIYZ4PrnE5+YKIyKiHmEZuW3BpELDjPe+56UYwfM5lIaJ0TDyARdebRgKmbAiy6jOIJ1p0reIrlux55q0WCzhMH2G5RJgucRXtuXLqay1BczEImZpSRULMYvFUgxs+gqLpXKIwgrmJ8A8xRdm4qssM8G0UapbiHkmtvIuKhHP06cx87vQ2MJmWszEMGIYPxfmvBT6bM5p8TFx9QVZjKLwphUjbUdUmJyjyNJXWNekxVJOwgbjhxFhXgLMT3y1dEl67GcVWSDtT4j5PYjKmEbMFFNxZxSfZPpA9j1frRvxFEJRnYgILDB+bulQdZgOACmGxShAaRpd08jSV1iLmMVSLqIQYfkG3rcWZK3byxZf1luZm/YnxEpFGMuD4ajJSK12pucmVB4xDyITYhG0FcX9EKUACd2fCA7QCiiLpc0SVUqKbBEWJMD8XI8tgvV9LF9WhAVT3ULMYrEUBRusb7GUjnwz44cVYUECrLXW8p5DMrvZMFn12yPVK8QU77d/P3UeIqbL6BkU6i0g4rgjEwubaVxaoW8zUYUSmfQjqEwUc8qV8+0usO1SuSZtHjGLpVSUQ4TlivsyEV5prAAzo3qFGMYePyCk+TQKN1lRie6BXKg7VMNchJwVVUgdURIi4bARJvlho0pfYYP1LZaiE6UIy4VJDjDPuC8trfXr08WRZ96vCKpaiFksliKgNljfYik2UYswP2tYkAjLFGBeVZfK6lWtIgyqXYiFGcUX4sESlZGnuWnTTP0RBusbH4NfOdOuRDRowcQyVxJtUOh5a1Em4g6bDBOPaoojGyNmsbRZcqWnSP+M+AmwTOGVLJGXoZpFGFS7EPPCL49YBHXki3EW9jK41vwEkGkqjVCiNVcMVwR5xCLRDsZCLLixyAV9FOfIEGsRs1iKR7GtYWmyc4FlizA/AVZKql2EQZULMa+Hju/zI0ysftRZAqIWdlHW5xfH5BEiVGi7uXaP5JxHcF7KkkLEkNLlEbNCzGIpFnmLsJDlvURYqQRYr671RZn4u61S1ULMYrEUByvELJbKoNDJu8FbhJXaArZ5104FT/zdVqluIeY16bePhcc4Tsun3lbtlHOInslD0nTUpF85L+tLmJg8z6LFPWdRuwJzUoS2AqdwKpE2spn1LZbiENW0RaakVFuJsFIJMGsVW0f1CjEnorgVvg+zMDmmjO79Mj6oosi5FVTOeKofw3IAscLOWaCQi0I8RCiwjGMDm3cI2F7CFNY2WN9i8Uc1t6jqWNvyc1QZ87MxsYY5dTl/bd6v8lC9Qgwf0VWosPCrN7uZMGmWjBO1GhZLhmg7qC6/8+LVlyLGiBklhq12K02lxLipdU1aLF6YCqp848DSFCrCHEtYS2tYOURYkFWsPQTqQ5ULMYvFEj02WN9iaUmhwioMBYuw5vxhjggrpTsyG+uadKhuIRbCIuZr+YmybR+M2za1iBnUZ/wc9Sto6gaL6DwY9bcEnrmyjposZfqNAKwQs1hKK8AgPxHmNY1RIqVlF2GWdbQ7IebnVoz6GR4mMNxUiBm7O0sxmMD03IZ5YOc6aVEIsSi0g+G1Mrr+UQsxgzjHKF44bLC+pb1SauGVSbYI87J6BWXPz3RHWhFWOVStEBMNJwyiHrGnUVvYCPEQLcFgAuNzG+q05uiTSdb4EmAafxd5rjmIRmhGdBrVCjFLO6PSRVgmftMXpUXYirXlF2DWLbmOqhViFouleNhRk5b2QjkFGEQnwhLJyrCC+Qmw9ppDDKpdiIWx0ITKhB+x6y/KuCMMY8RM3Zxh5uYM4Qo2rbK5nrCpHjwriaAK034YFIs8r5nJtFNRZNa3oyYtBVAhxu1Ayi3AvMgUYdnzRSqV74q0VjBvqluIeeAbIxbmwWIU/xNiEvGI3ZiRCrFCY90iel7HDFyCQccUxe+/sXiK8ho0Nx5UoUEVEYt+iyUf1jS1zqVVSVSKCEtbw7wEWCrbMqbr0lI42ytHgIEVYblod0LMYrEUjo0RsxRKpYqxShFhXmSKsFZCDGc0pFNOQydpzUcoJZKpogqsbXp1ahe5xKpaiIVKbBr1KMeIBgvmhZFlxKwqXwui4aTfYZ7XsRy/F0bXMuiY4uZ9KagfpnWFvO6pgP6bXNNorK921KQlGipNjFWSCMu2hmWLsGwXr6IlE2DFwG+uyfYgxqpaiIUhajEUeV4yKHx+yEwK7J+xkAthEc+ZvcKkvSBXXySZ6c3KmeiUsPeIROF6taMmLRVGMcSPqbirJOHlRaYI84r7SqMKKKFGQ1aKADNhm16dgOrNtF+9QswvfYV/cWPKYcGCaMVdwYLCcIqjUOcqV9lKCfA1vVZFaDrommnJ8ojZYH1LZZMpsNKirNJFlx9pEeYV+wXrLF/JEL+RlSjCTEZNpgVZtVG9QsxisRQHLen84pYqJJFKEc94cZCAlwi/jPJB+4EjwEzu11yB8dnEfKzT6WMq9OuRfbxRjX6sRAFmqXYh5mWh8fliadRnIuJJxCOnQMuOV8LaUJOse7WVq2wUyUojsAaVc9RkUHxakOsSorOq2jxilnxRda08aLOgyQx/TIurTDGSVPUURbVxMzEW3CelKcOklOkG9CSjLzG3/ZhIi2NS1YL6lj7mRCpFwu2bFWHVSVULsTAPnVyB4tmYPEAjc8nlQZTT6/gdq9fPS8EP+QLPQ+BPXlu34gT0vyhxiT7dsDFilnxRMtxsSVfIuDnw4iKeCUwzY6QyaUoWLsbSIizb/Qct47D8iMUgJk7/YiKkks53JKlKnML6lraEWQFW3VS1EAsX+BWiaNSj00z7WQYhEWpuzmIKAZPrE9R+2LxdXkR4rcJaQoO0T5QjOgNasjFiloJIpJRYxi2UKcjS7r20izCR9B4lCBATBWJ5i7FsEZaP+69LfQ0pgVhMOP3kn/LvZ54EYLPN+3LGWWfzf/93aui+ZYrPZFLzEmFWgLUdqluIWSyWomBjxCz5oq7YSeGIF8eS5G5MrXPvZQapZ44SzLz3nPzEKSBGzBVxpqInU4QlUpp3/FW6/C/POImnHvtX8/pPP/mYc848jYcefIBjjx3Hku8WM2rUaIYN3zVnHzXLJWnan2Ln9LIUj+oVYn6jJv0eIKGmOIqoTLrpcljEDI/Xb/Jy0xe8yOLfTIJtS2GkifIahKwrMLF+CY1U1jVpKYS0mEqLK0eUAbiirDlnVrCFqkt9DQlJUhMXYiLNMVtpYjHnq5ZIpVrEmaVFXlRzML70/DOe69+c+DpvTnydWCxGTU0N4376M3YcNJjvlixh5Kg92GXYrq32SaRSNCWCRZgVXtVB9Qox8H7Q+Tz8Io+viTpBbNSYPkcLTEwb5nmdS7QZ5eUKKlDC82wiQENruqAYsQjqMKpCrRCz5E9KWwqMLvXOYyjpBqSnZ+EyFUfpMl3qaxBRYrF08Hy6QaeuxkTLH4CUkrfbz4vOXbqyZvUq3+2pVIrGxkb+8ffbnf65wuzY40/kmHHHs7MryEz6VY0CzC+ha3ugaoWYEE7ghIqviSJeKbM608D5CK1QpiP2fJssRj6tHOfMZERgUJ9Cz+3o1Y8yuuSC2i5lQlcbI2aJiqiEUHY9jjBz/le0eeQhhAt+NxE9vbrWc+6vLuGSX/3CuL9pYXbvP+7goQf/ySNPvchOuwwHcvctShEWJHw271qdebsqjaoVYhaLpXjYGDFLpZMpZpIp86zz+QidxSsa2PvwcaxoaOKNV55lyKAdGbnPwZxx0rEsXvRNczlxY9hSqRTijhBVVRobGrj6it9z9i8vYfDOwyLrVy5MrE/ZZYotzNqrVSyKcWSVi7ZeJOW9eJX1XVLBiyRDLAnDxafvrY7FZCn0WA3PbZjzKjmWUNcn3yVKSt0emF33iFCV0IslWkTkLhFZJCLTM9YNEpFJIvKeiEwRkV1M93XXXyYiX7v7vyciB2Rsu9atcw/3c18RURE5K6PMzSJyYuQHm8XiFQ0tlijrzIcP332bq//f+Xz20Qf89Ixfs9nmfXng/ntZ8u3CFuU26bM55114KX+69maO+cnJ1NXVE4vFSKVSvPn6f/npkQcw7Z3Jnn2LirkrVuctdtL7FlMsbd61U16Cry1/H6rXIhYyWD/qvF+h3KKmZaN8lhXoDjU+t1EJDpNzHhRDFUVfTF2yEU8Mb9RmiaxUihVWFcLdwM3AvRnrrgF+r6rPuw+Na4DRhvum+bOqXpe5QkS2df8d5e77mvt5EXCOiNyuqo15HUUOpr0zmScevp+1TUn2P/wYAJ574l98t3gR6/fakK2334FPP/qA2TM/pbGhgYOPPp6hgwYx+c3XGTZiFIN3Hsa0dybz3OMPsNV7H7N06ZLm9Q/dexcv/PsJdtvnILbcuj/vTp7IkGEjm9sQaG7Ta9vW2+/A90u/o3vP9bjhD7+hqdE5/GcevQ9NpUgmW8e7bLJpH04751fNnw8/ehw3Xfcn3njtP66rsoHJb77ebBWLQoAVSzTNXbGa2lSKuStWF8VSlraOhaj7btro96F6hRgUx+pAEfKImWIqAsoVI+axLqp8ahEkz47kfijLCNcI64xKrFnPZPlR1ddFpG/2aqCb+393YH6IfXMRZ50tPPPb+C3wBnACcEeI+lrw+/93Ec8+ej+NDQ0kk03EY3G6dOvOom/Wdf/Jf93tO9VRmo8/mAo4LsC6+g6ccPLp3HX7TSQSjlsyFotRV1fPT08+nfG33ADAxAmvUlNbSyqZIl5TQyqVJOmWf/qR+4jFYiQTiVbbACQWc7evE12JJv9JLTfdYutmcdWraz2Ddx7G2AMPZ+KEVwEnbqxnz/UrWoAFtRWlKAtTV1v+PlS3ELNYLJb2xbnAiyJyHU7oyYg86viFiPwUmAJcoKpLVfUjEekETAR+lVX+KuB5EbnLpPJEUlsIjVuuuYz7xt/YqtzqrBGIQSIsu2xjw1ruuO0vaEbOilQqRWNTI889+2TLPrniSZtSLadWSjSRSsdyZW0D0FQKBWLxGCnXApZ2NXqxzfY7NP+fPgfzvlmIxGJoKkUsFmPeNws99zWhEuKr0n2okED/c6nw7wOUUYiJSBznwL5W1YNEZD3gIaAvMBs4WlWXumUvAk4GksDZqvqiUSNeFhq/73LUrsQQJgNjY49pHyN0nYZyTebZF6OyBiep6vOIBV2zKObjNEGxrsnK5XTgPFV9TESOBu4E9gmx/23AH3HulD8C1wMnAajqWV47qOosEXkbOC6fDk940Tv/VhRoVjr+WCxGbW0do8cc3EL81dTWkkqliMdbWr3iNbWOxSuZaLUNHItYTW0dJ/zq93z7xScI0LlrN09hCfDXKy7h+6XfMWTYSAYOccKVhgwbSV1dPU1NjdTW1jW7QMOQdhNWEqUO9PehTXwfymkROweYwTqz4YXAq6p6lYhc6H7+jYj0B44Btgc2AV4Rka1VNTDhRKi5JsOkrzBxTYaorhx+HtNz4zvpdzESuhYoxIKGnkThlitUwOZT17pKC9weJUVoS0Q2w4nR2BjnWzZeVW/M9ZJmacUJOL+tAI8Afw+zs6o2m2NE5A7gWcNdrwAeBV4PKphKNLFk5tTmz8N22Zl5c74M000j9thzL958YyJNjY3EYjEO+9GRdO7cmYE7DGK7/v3p3iHGmxNfZ8TIUfTtuwUffvAeA3cYBMB/XnkJgL322Q+gxbaXX34REdhiy61YsXw5A3bYkW226w8jBgPwt796izBwrHx/u/6P1NXXc/mV17Jd//5s0i3O/516WnNfNukWb3F+/GjMEF61gDStpXbBR3mcqfwJ0+aCBa3X1cWKPl6w4r8PUCYhJiJ9gAOBy4Hz3dWHsi6I7h5gAvAbd/2/VLUBmCUiM4FdgLdK2GWLxZJBkSxiCRzT/7si0hWYKiIvAyfi8ZJWjA5UAfOBPXB+P/cCPg+zs4j0VtX0I/NwYHqu8mlU9RMR+Rg4CHg7V9lYTS3rbzW0+fMvrxxKx54b8/Qj99HU2EAykUDiMXr22ohEUxP1HTuyxbYDWf7dEhBYNG8uWw0czNo1q1kw+wt6992SwbvtycTnHuermZ/QpWt3Tjj9PA475kQ+fPdt3p08kS033YCRh/ykRT+OP3sox5+97nPm9uyym+95RPP/J2f8/9n7U3js7tuYeeXlfP/dkhZu0Fw0NjRww/XXUd+hI4lEU7MQnT79Q3YcObbZWpZJkNuxdsFHNPXe3qj9qCi0zSaKbimr+O8DlM8i9hfg10DXjHUbpQ9YVReIyIbu+k2BSRnl5rnrcuOTIsDXKhLGlVimSOVIB00WOFKz5OfApL2gMlFY7k0HTERYV3PxoEm/TQZpRHQTFSOPmPv9T/8GrBCRGTjfdb+XtHaNiDyIc156icg84FLgFOBGEakB1gKnumU3Af6uqgf47auqdwLXiMggnLtzNvDzEF26HJgWVKgxmWolKg4+/dccfPqvQzTVmn2OOL7VuoFDdmHgkF0CLUz5xFZ99v4ULjv5CJLJcAlph+Oc+Alfz23xYANoamzkuSf+1SzEKiHmq9hEFVPWVr8PUAYhJiIHAYtUdaqIjDbZxWOd52NARE7FPdG1XXt6un583UERC7FQU/tEnL7CyC1mWleBD9xSRhIFzY4QSWb9CF2TodsO6n8EKT5MUIofI+aOYBoMTMb/Ja1do6rH+mwamr1CVecDB2R89txXVX/itd6n7GxgQMbn96mg3JSZIiadZiFKPpryVl4i7FWgDmgE9oZWYmxlU6JdCLBsChVkbfn7UA6L2G7AIW5Ojw5ANxG5D1iYNgOKSG+cfBzgWMA2y9i/D/5DUMcD4wE6bryZej40o8gjZhIjFubnKGLrQknSV5gS1fM6ApERi2ImlQhTiBSp6ZxEklZFyVdp9hKRKRmfx7vf2RaISBfgMeBcVV0uIXKXuPFkQaRUdZlxpRaLB9vvtCvxeE0oMTYaR4TV4Pw0/pSWQiwWr2GPg46MspttjmLlJatkSi7EVPUi4CIA1yL2S1U9XkSuxQmsu8r9+5S7y9PAAyJyA06wfj8MfK4Wi6V45GkpXayqO+UqICK1OCLsflV93F3t95LmxXx3yaXe4sDmIfptsbRi6x134rI7H+PvV1zEnM8+NtpnAk4gZBzHVPIznNEpk4DthgzjuLMvZusdc35FIuHTxbktbtv0Kq8QqrAUGEXHV4iJyBCD/ZtU9cOI+nIV8LCInAzMBY4CcPN1PAx8jHMPn2k0YjJkZv0wGFmcijHpt3mVwW2WKJt/VH02OkcBxxTKSllIP0wJa50KuhYlck2athUWcUxfdwIzVPWGjE1P4/2S5sUMVR0c0I5R3IbFEsTWO+7ENQ+9zCuP3cdDt1zD8qVLcpafBPwDJ34m7i771tZx4B2PFFWABQmvXOXLKcoqJAVG0cllEXsNeIfcP/9b4AwpzwtVnYDzkoCqLsFxmXuVuxwn8C0UEsYVFUZwRP3AK0YqiABKFWtfygd/UFuRBJhHeOJCn5sSDjbITdGmONoN+AnwoYi85667GJ+XNB92NWjHpIyljIQRDuW23gBsvtW2rF65wqjsvThvE7U4owa3+M0f6VwEERZWfAXVUwnnuVpj53IJsXdUda9cO4vIfyLuT3Sod24w39ioEA8ok5xjoQLDTS1iET77jK1w8RCVhhmlGpYKmd6nXCNmgciSsUZCcUZNTsT/tcTzJc2DPiKykaq+kblSRHYH5qvqF6q6tpB+WgpjbSLFp4tXt3iwFyIaKkEofDTlrebM+kG8E6/hpp+cSt9PPmLNPgfQ2WO0ZyFEJcD86q0EQVZt+MqFIBFmWsZisVQZbmb9sEuJ+AvgZZpY426zVAifLl7dvERVX7no0m8IEo+DCLG4v32jY9funHfESWzw4QfMGr4v8/b4UWR9SAvcYlPO81ytGAXri8gOOC7I5vIZgbSVi5eFxuelJYwFKyhNAhRpuh1TF2aUM134tGl8fCXMzxaYZyvM7Al+dUR4bkOn0yinNS6bSupLS/qq6gfZK1V1SshJfS1tkFJbbbxESS7L2K7A7x8e76SvmDqRG4FPD/xxQf1N92GrvGvIv80BAeUsZgQKMXfiyh2Aj1gXpaJAZQsx9Xlo+j1AQuX9Cn4KSSpMhYblTKclKoFY8BRNHscR1RRHRvUECJtItEOUc2yGFOuBWRyK0GYJKoqaDjm2dSxZLyxlpdiCLFuAzX5/MqlkIjAQdZcV3zenr1Bgw/+9wPwDf5xXfyvBMrU2kSJM9IrFGxOL2HBV7V/0nkSMKMSaWn8pNO79AAkVyG0SOF6M+VfLENQf5ji8RFsoK1SBc00G9TVUvJtvJWbFjK5BWAtdBKM+I7PUVq5F7B0ROUVV78hc6Qb6B0/gZ6kqmq1FiRQzDYSLnxAKEj0du/VEJIaK5nyYLMZ5n07gBOov2n2sZzv59qMcZMf7WcJjIsTeEpH+qmqWKMVisVQ/lSvEzgWeEJFxrBNeO+Hk0Ty8XJ2ytA3yETpzP57G87f9iVQqiUgMRD3nnBwO3IjzPpUC7trrUBIH/jiyfpQTK8YKw0SI3YMjxr4BGnBsE6qqOxS1ZxHgOcWRz9uKhsjebTJqMlWM4XWGfTRxnWrMsK6ILYV5txXBbAFRXBLj7PwmFryQbQflpjOy+EU18rJ0wfehUNWFwAgR2ZN1ISz/VtXKHeFtCeSzhavYeqPO5e6GJ7Pfn0yyqRFUUdT3izqadVn1m4CO3y9haem62cxnC1f5bivkHFsxlj8mQuwu3Nw+RJPJqGR4uqp8nh9xDzdmqHrzKJPG9JnmJyKzMRKKhk9kDRHr5lmylEIu6Lgj0A6mrtZI3KDZbQflSTNwXRbFZV6BqOp/gf+Wux+WcOQSCV7bKkGcpd2SxEAkRirp/SWbgDO/pOLtliwmuc6rV7lKOK/tCRMhNldVny56TyJGwuYRC4NJjFiY+J8yTJNr+kCOJc0tiF6CMsyD31Ro5ksYUelLGeL0TDFqM6J+FflSWdoZpkLBa79yioZMt2QsFmfXI07ijUfu8PyCTAJOHrgz+9TVs2j3sb5uyajI95xm7hv23FqrWH6YCLFPROQB4Bkc1yTQRtJXWCyW4mCFmCUiChEMmfuXQ5C1cEuq0rFLVzbZegfmf/q+Z/mZP9iK/uf8oah9KvR8ZtdlrWPFx0SIdcQRYPtlrKv89BXg/dru5weM+MESyiJSBneRcf98Tpd4nLCUR2GTeLV1Zf23GVkyg/KIlVA8GOWaC2sJDTo+g/soulGTlRkjJiK74sw3uazcfbEE09ZFQ98dhxGvrSPZ1ESspoYVdPIVYcOBw995nQUP3svivY5oXh9Fnz9buIo+HVN8tjy685lZd5g+WqtYeAKFmKr+rBQdKQZeD17fNGIhxFAsYeKbNK8vVVP6h5pxXFoIF6t4nPBwrkn/bUYaKqhQhVlxwsZrBcWdGcUuRnQOyjrVkw8i8kec+XHPBYrr97EUTJQiLLvOUgmytetvzd4X3s6X/3sGgO9mz/AsNxx4Fahb+DWNd/2R30ILMZYvxTiHfu1Yy1jx8H0nF5FTg3Y2KWOxWKoMzXMpPm/gPPM+K0lrlrwptoAohUDJbOPLic/w+YTH+eL1pzzLjmbdiMla4IfvvOJZT5i2SyXCMts0pa2l3yg3uSxiF4rI4hzbBTgHGB9tlyLC58ffL/g8DFGPPPOyJHlhmnLCqE3TgmGmKPJKFxKRRcwoc0dg5vkSXnujpL/h+uOXjDhcm6Ga9KulIl2TqvoC8EK5+2HJzdpEaWIx/Kw4JoLCz/rjte/CGVNIJpoglSKlIPFaNNnUoswEWo6Y/HLnfYz6mk/fi4m1jBWHXELsNeDggP1fjrAvJSGKuSajfrs3zU2VqolOsJkLihAxXh4P5zAurFx9EoPrE6gNosqhZUCxR4B6UsomK9A1abFkkxYuYeOnwgie+i49nKz6bg4x9UlfcQ9Q37k7H/74bE+3ZJDIKVSEzf5mhe+2vht3LahuS2H4CrG2HBuWJlR8U0SWm7wwrC/WFFwGMOpgoXmuPFNVeJzvMOcq1uhfOBVkDfJpv2UD5n3xbSOkFStnXWGrKqGQLFk9Fksb5tvP32fKfdegqaRrkZdWL6/N8WFA46rv+TBHfVFbvHKJr+xypmLMWsWipwwZrCwWS5unMmPEEJF3oyhjsZjQ7JZUBcRJ7JrFaPzjw4rF7G9WGIuwzH2ixMaJmWOSvqJdEHnG8SK4psxTTkQYS+YXU+fRRrI+xP5h+2GURDd3oVRt4efFZNYCKE4IVSlmDjCigqc4ArYTkQ9ybBege6k6Y6luNtpuJ+I1taQSCSQWQz1+9yeQOz4sSgoVU+n9g6xj1ioWLVUtxMLNkxgmFsqguhDPKdN+GtdpcCximGXet2+eOdq82jFqJpB4Q/AxpQLu5kj6YhojFkFTreoMcIsGBvMTXexaJaavcNnWoEyYeS8sZaaSY5s26LcjOx3/a+a+8wrxug7Mm/aaZ7l73L9TD/oZDRGkrchm9jcraOxjb+u2SqAQE5F64Aigb2Z5VS1ueuBCUTzFgt8DJJRwMrDySIRWqXWVRleuGAYNz0EHpUyiGtRWBELMVMwVYwLuwLkmbbA+qjqn3H2wFE6Y2CYonyBLx4glE03EYnFisRpSqcbm7S3iw4DPNuyzbnqaCIjanRiGzxauYqtuZWu+qjCJEXsKOBRIAKsyFovFYrFYIiOf2Kb0fqVsO132k7ffINnkpq5IJumxzTDiHbo0lxtNy/iw9Z79Z8H9DNtXS+Vj4prso6qlmyY+QjwtCH4hT4XW26oZc5OBaX6wyF2YEZKKS8FWkpyZ9Q2OKXiUbBR5xMqQQqS5zoD6TExiVZxZ39J2iUpIgbl1zK/NMH3pvuVgJB5HEwoxYeknb6HJda6BCbSMD5uA0phRf1hLXlsTX3a6IzNMhNibIjJQVXONuq04BL8Eo95PkFDJUqOd4SiygPY0ZiLArM2Jj/3SqNxuR15nVC5vIlCXYdKZ+NZhnEes8LbC1mmiwyLrV+UG6wMgIh2AM4CRON/YicBtqrq2rB2ztCJqcZFLkBVFyKS/UylFteWPzCRgbxzL2ATg292PprdHf3IJskoWX2ubUs5s1JaC8BViIvIhzi1WA/xMRL7EmfxbAFXVHUrTxTxR9RYbfhaxCPND5WrHu/GImzaxHkU9O0AUsXe5+hTFOSplQtciJA8PElpGIiuqc1D5FrF7gRXAX93PxwL/BI4qW48sLSi2wMisv7FPsijtff/FNCeHGOr5BR3OOhH2Qe+tGLLrIb59zRZjlSzALNGSyyJ2UMl6YbFYLNGyjarumPH5vyLyftl6Y2mmsak4oqgcdN9yMLGaWlKJJkTEFWUO2YH6+303n+Wzp9Ot7wDPuirlnEQ98MG6J4PJlVl/DoCI/FNVf5K5TUT+CfzEc8dKIlT6CvOikbsSDdIOhME011WU+FqAQqQMzhkjZpKSowRWGuNRk7Ho+xs4EreUo2Ur3yI2TUSGq+okABEZhjMpuKWN8fXXy1ut23TTyhiu163vALY45GyWfDiBzpv0Y8Ebj5FqcqLCRrMuUF+B3RtWc/VtZzPw9Jt8xVi1YsVYbkxixLbP/CAicWBocboTIRpOMIURQyYP46jTYURNqqZEMT4R5XIzyntWgrkmTa+VmMQchrwEkaSviOiyt4Fg/WHAT0Vkrvt5c2BGOuSi4kMr2jle4ivX9nIJs+WzpzPr6ZtIJZpYPusDtjjkbBa8+QSrF8z0CNQHTSb4/otpFSvEyp2Xrb2SK0bsIuBioKOILGfdT3gjML4EfbNYLJVK5QuxNjnSu70TJMCC9iu1IPv+i2mkEk2gKVKJJpZ+MonVC2YCTqD+OThJOB9zP0u8hu5bDo68H19/vZymjVJ8/fXyirEWZmOtYv7kck1eCVwpIleq6kUl7FN0hHE3Ru2aDOGSMx6xaVgsKM1BmLoKJTLLiUl/g4LZIxiQYTxq0sQ9HPIaaEDjYmCGjUw/VbgQs4ld2x75irBcdRRblGTGiMVqamlcvrh523DgRhz35ChgusT49rBzI7eGRXHewFrDyomJa/JiEfkR64aB/09Vnyxqr4qI+sw3KE0hpjgyEWJhMuubCoQos/WX6EEaykWbS5mYaN8SuHhNY8Q85v5tRdjeRpK+IorZBbTyXZMishPwW+AHOL9zbWO0dzslKjHhV2/aWhSWICGXGSO2/sDRAKz8agZAqxix0Zri6qf+QufeP4xMjFWKi9ZSGCZC7BZgK+BB9/NpIrKvqp5ZvG4VDz/BFfmDpQjpK0wtOiaWkUq3aGRTstQMARhfA5M4wrCDNKKIcWsnecSA+4FfAR8SyeRWlqgplviKEr8+pgVPdozYgJ//hdruvWj6fjGLcW68BBkxYonoYsSiPH/5WsM61IZw/WDdk36YCLE9gAHqDlsTkXtwftwsFkt7pfKF/Leq+nS5O2FpTWNjsk2IsFyk+79s2qQWMWKzXnuapu8XN7slYzhi7BzcGLGawmLE2vp5s3hjIsQ+xRlxlI652Az4oGg9ihKPl3Y/t2IYl03kU8lEbF0wG9UZcQoOn0MIFXuXw9pklKS2FOIgwjZC9zco7szg2xxLRHMAle6aBC4Vkb/jpHJqnmdZVR8vX5cqCxG5Cydf5CJVHeCuGwT8DeiAY8w5Q1XfdrddC+wJXKCqr4lIX2AWcLaq/tUtczMwRVXvjrKvi+evi73qtUmvKKsuiA59BiLxGjSZQOLrvoCjWeeWbAJ6AdR1YuPD/8CK2s1ZYehSDCO8akNap9JUS2xYW7qfszERYuvjDPt+2/28M/CWiDwNoKreqYIrAE9B4hNnJcmIvRdhhJ3h0914Tsqm4MZjYUYTFECYAPmcArI03Q3EOH2FgdsxrBjOGUNHid23lS/EfgZsizPXcvrOUsAKsXXcDdyMMwtBmmuA36vq8yJygPt5tIhs624f5e73mvt5EXCOiNyuqo1RdSxTeAVtK6cw67DJdmx8xBWs/PhVAOo23BIQZ05JWqauiMVr6bDJdp71tEVL19YbdYY14fYpslvybir0fg7CRIj9rui9KBZGiZXyqdegTBHyiCUN33hMrB4acWC7nwgIFRyeS7SFmQs0n/ojxkSAGuUayyBoInmTkZqRTL3UBoL1gR1VdWC5O1HJqOrrrhWgxWogbZ7pDsx3/4/jCFql5a/btziJck8A7oiiX7lEWFD5comylTNebbaKxXtszKRlC1rMMTkJYM1y1s6f4SvGCsGxqC0LvV++1rCtN+qc137FpFLvZxMChZhrsvsB0E9VXxGRjkCNqlbGfAwWi6X0VL4QmyQi/VX143J3pI1xLvCiiFyHY4ceAaCqH4lIJ5zJ03+Vtc9VwPOuayhvwgqwXHWUUpCtnfchmkyAptBkgtRqP+uWsnbeh0URYqWkEkVYDs6lTPdzGAKFmIicApwKrAdsCfTB8bnuXdyuFY7XW7tvLFMYa0kpU5hnYJqewSSGLfJJqf3aDGF5y2llMelv0DWsMPEQ+hoEGESNcpdFRYWdSw9GAieIyCycGDGbvsKM04HzVPUxETkauBPYB0BVz/LaQVVnuaErx+XbaBQizK++Youy7DgxqaljWOOqFvNM7g1Mkhgd+kRvpM03ZUU+1rA2JsKgTPdzWExck2cCuwCTAVT1cxHZsKi9igBRH3Hl5w4K4cY0i8UJI+zMi0ZF1Dm3/ERFmODwnOkcTIRyWwvWD+kq1YA8cqV0F7YB16TNrJ8fJ+AM8gN4BPi74X5XAI8CrwcV7FIL5w9JANDU2OSsHFDMB/waNuwY56wB/gFNtXW1edc+q2uSyaP2QoBdRu7Jvbf/hdGrs3KIAYu23pbzDuqHEzMeHbW1ywBYvy7J8X2WGe9XVxvOqdWhNtYqJqw+1cBWa74w278mBgtCNRkFRb+fo8BEiDWoamN6wmERSd9blY9nsH6J2o5ojsUWxYzzjYVoOyLER3DFEuadScZymHwMDj5QHBQrZtCzreAi4Sf9bhtfuwphLjAO+KGq/kFENgc2Zt3ob4s383FSFk0A9gI+N9lJVT8RkY9xRq29navsyia4+NllhfUyJL/frzOXvrQqsFxY69na+TP45rH/12wN+2KDfViydLlnDrGvFq3ghndNHrnhSFvEju+zjPvm9TDeL6xFbOturcXyVmu+YGbHLQP33aZXJ5pCtRYZRb+fo8DkrnhNRNJzTu4LnAE8U9xuWSyWiqbyNeGtOM/CvYA/ACtwpvzbuZydqiRE5EEcY00vEZkHXAqcAtzovnCvxQlLMeVyYFpQoURTgvrw3S0Ji+cvDiXGsuPDVn78KsMaV3nmEIunorWElZK24JIs1/0cBSZC7ELgZJwkrj8HnsPcvFc+VD2tMcl43Lt8qCmJTBJ1mVdnivE8h1HnOTPA19UZVfoKo7kmK0cdmM1HGs48G2zxC64jkpR1bWPU5DBVHSIi0wBUdamI1JW7U5WEqh7rs2mo4f6zgQEZn9+nYhLN5E8YMeaVR2w0HjnEAJJlsgmVmVJl0m/L97PJqMmUiDwJPKmq3xa/SxGhEGtsHb2crPcTYuZVG7n+iuAC9XP/5VVXxKkc/F2TYWLEciR0jeDrEIV4MK7DRBSFFI5BecRM8pIF1VFFNIlIHPdKiMgG2KmOLIaYirEOm2zHenucyqqZb9J5qxHU9erLhA+fb5VDDKBm/c2K1+Ei0hasYW0dXyEmTlDYpcAvcGSFiEgS+Kuq/qFE/SsMjwedr7Uo6piuYljESpgHKyxRJMTNWUetj4DO3L8Uj9kIrW6hhWFAeTGw6mosov5X7q2Y5ibgCWBDEbkcOBK4pLxdsrQlTFJhrJ0/g+9eG48mEzR8PZ319jiVSdA6hxiQXB7tyNC2gJ1X0oxcdoZzgd2AnVV1fVVdDxgG7CYi55WicxaLpULRPJYS4MaCoKr3A78GrsQZq3WYqj5Sml5YqolcqTWyY8RWfPSSb1lNNPhuK4RiZ+X/bGHwIAcvrAgzJ5dr8qfAvqrafBeq6pcicjzwEvDnYneuGPjG7kScbiKyjPItKo3QGlOizPphyOXGNDlFRrFxBWJ6nEZzY4a14AU0bpZHrHDXpAR3pZy8DQwBZ+QT8El5u2OpBvysY5kxYsRiaMMahkPrHGJA/QY/LFr/vv56uZPhs0KwIiwcuYRYbaYIS6Oq34pI/klXABHpgRPwPwBH1pyEM7n4Q0BfYDZwtKoudctfhDNgIIkzIeeLgY0o3hEhPk/0UHMiGjzww2gCYwFhMIckQKouOKAqctFSZBEUMzz2XATl4TKrxKyYiVAJk9oDDPpvML9lZAK8coVYuwmCs5Se7NixzLkmV3z8Ck1L57UI1k/nEJsEdN/5yKL2rSnkb+Tsb1ZUzYTfbZ1cQizXhJeFToZ5I/CCqh7pjmTqBFwMvKqqV4nIhTijNX8jIv2BY4DtgU2AV0Rka1UtZR5xi8WSprJHTW4gIuf7bVTVG0rZGUv14WUda1q+EJIJQJmAkz9McCwHE9wyjYtnF316o6+/Xp53pv1cfLZwlXHQvrWGhSeXENtRRLyczwJ0yLdBEemGM+P5iQDuDOeNInIozssDwD049+9vgEOBf6lqAzBLRGbiZPp/K2c7qKfVx9eyEsZaYhSsH3F9hLBixYID20tGVJayCAYqSCQjLyN0D4e0iBHPfQAm4iiy3leuEIsDXbCWMUuRWTx/McnFM1nz2tVoItg2seKjl+i2w/5F71exxJilePgKMVUt1tP8hzgznP9DRHYEpuLkvNtIVRe4bS/ImEZpU9YNPAGY564LxmvUpM/IPM2V1T0bg+dnObOgG7mfIu6ef+xdmEr8N5mkwQhKcRHJIRtqJ6P5PkOmI5GA/HVaE6w9krURpcUpxqhgZ5Ldg4BFqjrAXXcZTlLGdOqci1X1uRzVLGgzo7otbZ7EohloomV+sJ8CtThvBCnWuSZrOq9Xsn6ZijHrnqwMop9vwazNIcBZqjpZRG7EcUP64fV08XwMiMipuJlzO9R295xw2lcghRBOkceIGcbtGMc4lSGxqV+MXRirj9b4iwSj4PcSHLapRSy0tcukzoAUIbHG0hmBinSu7wZuBu7NWv9nVb3OsA5rCbOUjJoNt6NRYuBGygwHfoaTjkBp6Zrs2HenkvYtajEWxj1pCUc5siDPA+ap6mT386M4wmyhiPQGcP8uyiifmQmvD878Ua1Q1fGqupOq7lRXY/3UFkvRKEL6ClV9HfiuwJ7tXeD+Fosx8V5bUbvNWNL6fzSOpUFwrGH/YJ07J7U23CTbpWT2N5Xbt/ZAyS1iqvqNiHwlItuo6qc4P5wfu8sJwFXu36fcXZ4GHhCRG3CC9fthNAmnIsnW8fzqN7IszGgyE7dTmKEEJlMmAfhNz5SFyQhDDYg3CouvBSiEdS6XFUkNEroG1h+BkSrWaFiJyT1iet0NEYPrHslVL2FeMJdfiMhPgSnABenR1F6oaqFCzmIxJrl4Jk2fvYjzhRAmoM2B+k20NO0mG1aWvH9h4sVMLGMmVrFPF6+2AfshKYdrEuAs4H53xOSXrLPmPiwiJwNzgaMAVPUjEXkYR6glgDONRkwq3uLK5wEZKgjbaB7BEPWZxh0Z1ml0KJWYviKHMBGDOY400CsVQcB/wlBhR5EqI5ug+8RAZUXlMs3TNdlLRKZkfB6vquMD9rkN+CPOxfsjcD1OuhuLpew0zpoIzZN55/5SNH47q/gd8iBqMWaJnrIIMVV9D/BymHu6FVT1cpyZ0CsCE0uGFsPrayp2UgYioFRO6VDBcv79NhIQAeInVwyaMVHG6ZVj5sOo9Hd+9SxW1VCBMqq6MP2/iNwBPJtXyxZLEcj+ORhd24maptWtAvUBOm81oqR9yyRKMWZjxaKnHDFiFouljSMafsmrHTdu1OVwYHoU/bdYoqC270gQN2xChAk19TTiuCUzJ/yWDt1KkroiF2GmQio0ZuzTxasL2r+9US7XZEnwcjeqrxUihHnCJP4n1JRJhi5HQ91slDqjCKP6CiaXy9cgRCzonEtTZSW/inp2A5PaIotLK076igdxjAi9RGQecCkwWkQGuS3OBn4efcsWSwSoMmnNUvbGSWHRYpNBnrFSkBZjhY6mtFaxaKlqIeaZRyyR8CgIWhPxqYg4EBv8+56NxoKPRcLkTTMhgqlzcgmTSDRLFJWYpq8wOR9h75EAt6iRyIritixSsL6qHuux+s7oW7JYoiGxaIbn2/0JONMcnYA712RdF9/5KsuBqSALEmNb5djdBu2bU71CTAmVjd1U5JhXGCJYO+IJuI0ethEngvIVUWHERs5zZnA+S2DkizQ/WNiqggZrmITRRSBGBZusy2IBN49YLJ4RsI/3XJNrlzVvz56vspyEsZBZioeNEbNYLOEpQh4xi6WtEe+1FfVDfkLmo3QCtI4TSyVILp7ZXCZtHWsL5IoXWxuQMsfGiplRvRaxYmJkyYg2U38YjGqrxPQVueqolJC2KOeaDFlXcHoOk0qsIrJYokQbWgqVSTjuyNE4Iiw9ajKxaAbxXls1l6sky5ilvFSxEFOfuSa9H0TG0wcRfSLOyHNOlcPOWYSYuLBELWg9MT3MYlyDoLZNct5GdI7KOJWqxVJR1Gy4HY3xGkjmDsiv2XC7VusqRYzZicLLSxULMR985uuTWBmjXsphpYhaS/oJXL+ZDLzI0aeSiCwDTPuhJrncom67lLnLKuNyWCxlJ95rK2r77UvTJ88BynDgVZw4sUYc69jk9X7YwhqWSaWIsVzYEZTFxcaIWSyW8NgYMYsFcKc5+vQF0jf5aNYF69e6n0msLU/nLG2C9mcR8yPECEtM5mkMY8ExbdvUamdi9SiVBI/KAlMBrk/AuB+RpweB4Hsq6vx2vu1Y16TFkiY7hcUEHEuYsi5YX5fPp/GLCdRtObrV/pVuDQNyZtrPZQ2z6SvMsEIsH3zcmy0oo6vT5GEbuevMbw5Pk3OVJofANdIPpdBqpqlGTJRK1LGBpXTfWiFmsQDpGLHa5hixScA5wBHAY2QE63/1Tish1hZEmKX4WCFmsVhCYy1iFss64hsPIPn1NNIxYjfiuCdH4czJNQmo2Wzn5vKVJsByBernsoZ1qPV/ebbWMHOqW4h5WQiisEJEHRRtPJm3YX3JZGARiZsMsQuBn3s1KiuNSbLSSnFfQnGsUwHHJ8kSWmGtELNYSC6eyeoJV7cYMTma1gld3/nBCOq2HF1xAsxSGbQ/IVYq900x2olSsAVlaQ9LFCIox/EZxTaFifOrBKIWjiV0TVqLmMXixoclW87KMoHWMWLJuZPoMvxHQOUJsXytYVtv1BnWeG+z1rBwVK8Q85viKIoYapMHXhjLm+kD2bBOoxixqCf9jkIEFCqkSiBEjNNXlCOmzUQdRRSsby1iFktmDrEm5/dZapiUamyd0FVTrJ33IR02aZ1LrFwE5Q3LJcIs0VK9QsxisRQPK8QsFmeKo8HjaJh6rzNyUn2SusZr6dBnYGk750FbTtq6edfqtbJZIZamEqf8ybfOUqUxMCGMlUtymIhM0kGU4piM3cOlT+iqwaGBkViEBeuatFjSaMMK93fB+VJ4JXT9fPTPy2YNCyu+TCxhpUzgWs0CLE0VCzFtkdtl3eoSJdAKIwoMgusBEMO+h0kZERWVEJ8VdNxRpBQxPLcSdWoKCLynTFqMLG1JBVxui6USyJ7iaDStg/U/WvRFSfuUr+UrCndkFPFh7UF8ZVLFQozyTnAc5kFs3E9DgWXysI08h5VP30zFI+Q+D6ZitdhEaJUMTZDYNZhOKipLaKVMOWWxlJu0ezL5xSskln7lGaxfbDbdtBu1tcvyEmBhxVcxrGGmwuvDd9+OvO1KoLqFmMViiR4brG+xNJNcPJPG9+5H3dGTk6BVsH63+mgsPFHEeFVaEH4uEfbhu2/z7uSJDBk2EoCzfnpYiXpVWtqfEPN7ky9nlnNTt57pBNom9ZVqiiM/S5knOXKbmRxTUFupEk6tWgxXbSSTfkdlEYukGoulTdNrk14sm/cfVicTOX9/Gr+dFbruKAProxJfUVrDgqxgH777Nmf99DCaGhupravjgMOPoanRZzBEG6f9CTG/B1E5pz83jV0yFXflm12pMIqdviKK8xKlSy7qPGJGYjWi/lshZqkSgpKsLp6/OOd+HfoMROI1aKKJdGb9VsH6W40I7EfUIxqjtnxFJcI+e38KX384hSHDRjJwyC6trF7p/9+dPJGmxkZSqSSNDWtZsngRtXV1NKz1SV7WhqleIVbMPGJRWzuirs/kGKNuM5IHfA5hYhJrFnhMEcSZmZ63XCNA05QjzsrGdlksoTLcp8umBVn2vh022Y719jiVJa/eDHgH68/p1dez7koQX6UYAfnZ+1P4aMpbdO3Rk3uvu4zGhgZi8RjHnnQmj9w7nqbGRuI1cVIpJZVMUFNby/m/u9pZ15hEVXnrtVc4/3dXcfUl5xW9v6WmeoWYxWIpGtY1aWmr5DvNUK79UmtXNP8/gdbB+is/frU5fUUxcnn13bgrdbUrIOFfphSCK3PEZFp8rV65nH//czypVIpYPEYymQRVkokUD/z9r6iCaopU47oX5abGRj796AMOOmIcT/7rblQdgZZYvbzox1AO2p8Q8/Pjh4kfChX3VKFU4jHktNZUSH9Nz1s5BnmW0gpnhVjZEZG7gIOARao6wF33ELCNW6QHsExVB3nsex7wfzhX8kPgZ6q6VkQuA04BvnWLXqyqz7n7XAvsCVygqq+JSF9gFnC2qv7VLXMzMEVV7476eAulmPM8dugz0LHaa8ozWH+91MqyWb9KKcAyLV/3XHspTY2NaMZvZjKpiAjq/g6pQiweQ9WJG0lljI4XYP/Dj+G5J/5FoqmR2to6ho0Y5duHtvx9qG4hFmquyRAP+nIlfzUdUGAiFqI+hihcnVHk+WpLhBXDQe7Zks2jai1iFcLdwM3AvekVqvrj9P8icj3wffZOIrIpcDbQX1XXiMjDwDFufQB/VtXrsvbZ1v13lFvuNffzIuAcEbld1S+tfHnptUkvautymIoioMMm27H+Xmew5NWbGU7W9EZAXdf18q4731ivYgmwuR9PY/b7k+m74zBqE/P5eNYEZKddAfj9KUeRTDQhEkNVW4gwgHg8zrEnncmDd92CplLU1tVz7iVX8P3S7+jecz1u+MOFJJoaqamtY//Dj2HgkF3456PPMfnN1xk2YhSDdx6Wq2t300a/D9UtxCwWS3GwQqzsqOrr7lt4K8TJKHw0sJfP7jVARxFpAjoB8wOai+O8rSoth718C7wBnADcYdz5kJhYszKD6otp/fKjQ/I7z0D9ScCGO43NuW+pAuvzSbaatnJt74qte3/9U5oaGxERRJz3v5raWnYYMZpEk6M9VJPE4nHQGJpKIRIjFo/xy8uu5bBjTmTUPgc0B+UPHLJLc1tbbt2/1frBOw8LEmBum233+1DdQszLQlCqUZNhLESRW8RKl8YgVJuB5Di+SphUPFQ/imGVDKozR/qPCLFTHLUJdgcWqurn2RtU9WsRuQ6YC6wBXlLVlzKK/EJEfgpMwXG7LFXVj0SkEzAR+FVWlVcBz7uuoUjJJ6i+1KRdjm/f9TI/oXWg/tRuvejWd0CLfYqVyyuXFSyXCMsWW5n/p61c8ZpaRh/642Z3Y+bPVyIBSxd906LOoaP2ZeiQnenecz2+X/pdC3E1cMguLQRYmuz1vbrWBx+0GRX9fahiIabhXJNRhyCFechGna29HOFUxc7PVsrUDIX2AyiKySgoj1wpp5myoy8rnWOBB702iEhP4FBgC2AZ8IiIHK+q9wG3AX/EuYH/CFwPnASgqmd51aeqs0TkbeA4k451rRcu3c9fMNTW1WZ8isaluFEn5fwh/nXV1nq/iTc1ef+Ytiy/DICFvTdkwvfftgrUl8aVHN9nGXW1mS9KK4ia7vEmOqxpPZVSh5oYn874mKc/eJ8BO+zINtv159MZHzPd/Qzwx4t+Q1NT2srlxHDV1NQyeOjQZitXoqmR5fO+IBaTFhOdiAg18Rr23WsP5n72EYlEgpqaGo4++AC269+/RV+WzJxqfDw18VhrP2L+VOz3AapZiCneeZqKMQegZ/thEroaKieTia9N2y5nAls/cgkJk3NUqmtrQjGESmCMmMk5isb0ay1ilYuI1AA/Aob6FNkHmKWq37rlHwdGAPep6sKMeu4AnjVs9grgUeD1oIIrGpRLX1rV/LkUlqzzhyS44V3ncVeMUYsAHff5BZM+Ob1VoD5r1/LEjO/YoN+ORWkXHEtYhzVfMLPjls3r5n48jdmvP8P3333LtIn/IZVMUlNby9hjT2oexVhXX+8kSm1qcmO61n2xE8kEi5evbtFOtz5bctI+h3LXVb8llUpRE4+zxyHHcPSPj2fgkF0Ysru3yzEMEVrBgMr/PkA1CzGLxVIc7BRHlc4+wCeqOs9n+1xguOtaWYMTyjQFQER6q+oCt9zhwHSTBlX1ExH5GGfUmvGEgKV2JxZLhAF06zuAzpttB1/NaLXty/89k1OI+bkUP1u4ynO9176fffIxEz95mb47OvFUd//y+GZrVpqmJuWZe/+Gui+2jY0NKM7IxWRi3YuciFBbW8eRx57ADX+Y0RxAf/TRjuDaeYdBvDt5IltuugEjD/lJ835+LkdTohZhLhX/fWh/Qqwtu1SijCUr2Qi7iFy0UVj5ojjmct4/qShyYkTjtzbJlGEpLiLyII7xpZeIzAMuVdU7cUZ8PZhVdhPg76p6gKpOFpFHgXdxfH/TgPFu0WtEZBCO1J4N/DxEly536wqk1AKstjZWVBGWZvCiObxI62D9TMKMZswumy3MOiz5jNf/M5mO3Xry/M2/J5FMEK+pZfCYI0gmmlqUFRFisViLFBGxWIwDDj+Gbbbfgesu+xWaShGvqeXAI47jAHfUolcAfVpwhXE1BlGoCGvL34fqFmKewfo+TxBTt18xiDpGrBxEMV1PLiFVKa7JKMVwJblSw1LBt2J7QVWP9Vl/ose6+cABGZ8vBS71KPeT7HU52p8NDMj4/D4Gw55qar0fO15C6euvC0vgua7OZQXVE0Tfjbvy7efvM7hhdatg/UnAHocezeYRpJPosOQzZr8/mRV0IrloJtNefIxUMgEI6r6oJZsaYeVS4jW1zRaxeE0tBx91PNtsvwN/+dPFNDU2IDFnFOOee+zOnnvsztBBg1qkiVi8ogEo3MplQi4R1qXeuV+C37Pb5vcBql2IhSHqef/CYByEb9jHeGlGz7U5ohA+UYqn0MI6grYjEvM2RswSBUFWqnzFWTGtX34jHhfOmNKcVR8cIeYk1BA27z84r7bmfjyN915+AoDeW23P87f9iURjg8f3uOVvQ49eG3DpHY/w2jOPgtDsUoSWKSL23GP35n2y00QEWajSQs2rbOa2IPza6VJf0/xzG3NzTFZrqkkrxCwWSziUyrbOWiqeQoRSkDjLVXex0kYAbLTdTrwoMc7RFLfgmEJuBKajvHjHtYw5ZV2WA79UEtlpJP7xy+MdCxcgsbiTIDX7uydCvKYWNEUqmSReW8seBx3J1jvuxNY77sTmXVu2FZWFq1fXer6PxzyFlJ+4yiXe0qQFWCwmLYRXrC17EAKobiEW5mHRFi5ylA+/ZMRz8ETRt6j7VAzKGadXQbMXWIuYJV/q6tZZ7IOE0exvzNI8BImvutoVRRVhALuNHMHUzbeg15wviLHu4XopcNUz9yEHHMjWO+7UYp9M4TV35ifcdaUzGrG2ro5RBx9FKiPOS1MpYvE4qVQKNIXEYsTiNQwecwSD9j2cLRPzeX/WN2y/067N7WSLsEyKFBifk6A2u3aoaRZgMZGqFl+ZVLEQU+8HV1AuJqOqy/QUijKWrBotGkHHVMovdTnOr1Ei36jaiqgeS7vFRBhlljEVZWHbKJTMgPrO3dZjAl80uyfjOEP2Rq1ZzX4n/4jXDjuOLbYbwIplS5vnY0w0NbkCK9kcSN/U1AhKizivmrpa9j/jd6xZvpSO3XqyZvlS+u44jM37D2abXp2oXfARP9zrKKM+m1ij0qRS2vzTsrKhOFNFdamvIR5vKcDSYdvxdiDGqliI+VCJAsTU0mFqzaiUwPawFPvalHLUZDHObznjGDOwmfUthVBXG28WSF4jCP1SNqT3MRVkfiIss02T9BB++3qxwQ+2YtKH77A3jiVsH9YF7u+eTHLVY/cB6lizYjFSyZSbpb5lpvpYLMbRPz6ePQ4+sjnOK+1u/HRxy9xefm7OXNYwL7p2qKEm7oigmrg0/9ykYk7HUqr0rKltflylUko85oioQgRaZrtpARZ3E8u2F9qfELNYLIWhPrNWWCwh8BM1QULJRJBli7AOtTG27ta6PRMhGCbdxKFHHsOUZx9kEvB7nBmhM7Psp03Jmko15+9SFeLxOCDOhNnuaMaBQ3ZhILDPyFHMXbFOfG3TqxOfLl6dc8qisC7JtBiqicWIxaAmFkPdt61ks/ByhFHK/e6nBAQhHhe6d6pttpyZirK0Fawm1n4FWJrqFWJKq5nfASTlM5o0Cpdli/bL+KCqxoekkdstwGJUytGkbXV2A4ulyHSoiRmLm+ZkpTkEGbQUZZnrm9tZY96/MMILsixSvXZiywGD+GL6e0zCySN2YJeuzN9uIFPfn4IkEk6sVyxGbV09515yRfM8jACfvjeJYSNGsdm2g1q0sXnXTq3EmB9hLWFd6mtauCLTrsC0IGr+1YylFVl6BKPztyYmpFSJxYWU0izKMvEYX9DC+pZuN1OEdayl3VC9QiwsbeEhZurCjFpUlopCr0FJ5pqM0D0YVhhWUEJa65q0REG2oMh2u6XJJcjA2w3pJ6i8RIxfu6b7Z3Lfk//ljB/vy8cfTUd3HsE+/3gMgD0/eY/Jb75Oz57rs3TpkuZ8XZlkppOAlqMMs8VYNnWxGL0DRFiuYPnMuKxMsgVZPA5J93dEsoLq09YyXHGWi7T1zSsGrD2JMLBCbB1RT5gcYnSal+XOCzGdJ7Ac1pi2QKWNygzbn6CkwyYiMarExVaIWQrAT8xkrvcSR0GCLLtcmg41sZwCKpcgDBJeaTItUX+8/CrW32poC+HTKytPlwnp/dOCzE+Mbd61E0sWtlrdqh4vsh8Ffq7BzPU17sTgALXui39SlViLfGauOPP4WcoUYO3RFZmNFWIWiyU01iJmyZcONWYvA2kBFFaQZYuwbXp1ggWtihm1HYSfG7DGJ79WLjITmK5Y2zLOqlfXek8xZuKGNOlHerRiJmmr1Jomjx1wBJSwTkjV+AmqkO9+7c0aBtUuxDysXBrzthoYW5sws2D5xqIVgLHljCrMrG9isQxyyVaQaw8Ib5UMsniValSlEr0F2dIuSQuJXC63dHC6F7niubzEVJBwydUPkzrSoud7j21eowuzk5fGxHHpde9USzKpLcpni7EgTATYurxdkpebMCpjVnsUX5lUtxALganIqRqijqfyqy/MN7XQh3spYsQqOZbQ5PxFZcqq4NNgqWzq4rFWQiJIkOUSY0ZtGsRPZfYjuy9Bwsd0mp7sQPZMAQbr4q0SqRTEpZV4yxRjYfuS3a/svF2ZwfJhhFF7F1FRYIWYxWIJjXVNWopBroD0XK5Kv7LpOnPFT+XqSxB+oicec0YPwjq335LFi3nn7bd4Z/IkPvv0E3576R/Zdrv+60RYhhOlhpivGMunP2myBZjTP6E2np8Is0RDWYSYiJwH/B/Oe/WHwM+ATsBDQF9gNnC0qi51y18EnAwkgbNV9cW8G/ezGkQ8m2goC1vUCV2jbLPQ+qL30JaXKK9VpWbfL2U9FksWQaMDgwRZtgjLxMRaZDphda58XHMQ5s3+kgn/eYW3J7/F25MnsfjbRQzdaWd2HrYrQ4buxOEH7cdNt/yNgw46pHXlMfUVY9lWsWZ3aLz1j22XeucRn+3+zM5cb0VYeSm5EBORTYGzgf6qukZEHgaOAfoDr6rqVSJyIXAh8BsR6e9u3x7YBHhFRLZW1eAhZ14Pi7Y8QsM4fUVwkZK5YiMSfOWKy6soAs5lKc+RtYhZ8qXGIL1OkBiD4ID6fERYZjk/QeZVT2Zy0qbGtSxY8DXHHHM0Y/c/kN1G7s75F/ya7fr3dxO3OowcuTunnXoSzzz5BNdc/xd69OjRvC0OLcRYKuuUhYv/aim+/EYrWhFWPsr15KoBOopIDY4lbD5wKHCPu/0e4DD3/0OBf6lqg6rOAmYC+U8dn84Knr2kyrhETRnaXDdNR8slijoqKX4vVx9b9LcI90lgm3n2P/xJyHOxWFx6da1vXvwIm5g01741HtaiNF3qa5oXvz769bdLfQ1dO9RQWyPUxWO89b8JjNh5EI0NDbw99QPG//0fnPx/pzJg4MAWIgxg91F7MHnK+3Tq3JmdhwzktVdfaBZD4sZspbPc18SFrh3M7CZd6mvo3qmWupoYdfFY8/61buZ88cheb0VYeSm5RUxVvxaR64C5OPmOX1LVl0RkI1Vd4JZZICIburtsCkzKqGKeu64VInIqcCpABwmXHdlisZjhzDVplZWl+JhYxoLo1bW+xSjG7AD6TLp2qDGepifT4rRi2TIuveTX/OfVV/jzjbfQq2dXtths48A6Ovbswu233cKrR/6Ik08+mX333Zfrr7+e2o7dHDEGzZaxmDijKb9f7ZNPAv95G8E7X5cVYJVByS1iItITx8q1BY6rsbOIHJ9rF491nk8BVR2vqjup6k51sY6Fd9YPP6ta5lJGjCw2bY1yWBYLwNRyFmapKItsKo8lABG5S0QWicj0jHXricjLIvK5+7dnfh22VCpBbrbNu3YKZR3LLOtlwYrHhbqaGHO+/JzzzjyVh++/l2VLFlMTc6bbibvWp2wLWZquHRyLU01ciAs8/fgj7LrzDnTq1Jkp06Zz5OEHG/c1zd57780HH3xALBZj4MCBvPHaK0BLy1hMHNdn9061LfqWtubFY85xpS1gmXM3WhFW2ZTDNbkPMEtVv1XVJuBxYASwUER6A7h/F7nl5wGbZezfB8eVmRtVJ69S9lKJmAi7MEs5yNOdZiw0DChY6JTgfFSUC7sARDX0YsDdwNisdRfixI72A151P1vaISZizEiExWPMnjWTww/ajw033ICXX/w3O+2wDQfsswe33ng9s2d+Rm1cqK1xRE/2UlcTQ1JJHv3X/eyx61D+fN3VPPjQY9zwl7+y0frd8j6+bt26cfvttzN+/HhOOukkLjjnDFauXNksxmrjjlCsi8da9K22xumrQAsrWK4JtE1EWCJhNlLTUjjlGDU5FxguIp1wXJN7A1OAVcAJwFXu36fc8k8DD4jIDTgWtH7A25H3qlR5tSqFUj3YK0xAtGmC7imTgSiRJLWlKDFfqvq6iPTNWn0oMNr9/x5gAvCb6Fu3lBOT/FiQf56vuNAswubNmcUh++/LJb/7PSf+7GQA1q5dy+uvTeDfzz7NYQftR6eOnTjgoIPZ/8CDGbbrCGpqnEfl8uXLGX/nHdx2y03067c1f7riavbdbwwiEpmFacyYMXzwwQecf/757DJ0B/42/i5G7TEacKcWEiUWizXbFdKjH0VokYYim1z9W7NmDVOnTmXy5MlMnjyZSZMm8fXXX1NbW0u3bt1aLV27dqVbt26MHDmSyy+/nJ49e7LXXnux7bbbRnMS2hnliBGbLCKPAu8CCWAaMB7oAjwsIifjiLWj3PIfuSMrP3bLn2k0YtJisRSJvC2vvURkSsbn8ao6PmAfv9hRS5VhKsbSmGS4b8Z169XGhRuuv4Zxx5/QLMIAOnTowH5jxrLfmLH85aZbeO+9afz7mae58FfnM++ruYwZewDrrb8+D9x3L/vsO4aHH3uKwYOHNO8ftZuvR48e3HXXXTz77LOcdMI4DjjoEE47/Rf033775tixrNj/FtMN5epXKpXi888/bxZckydP5pNPPqF///4MHz6cQw45hMsvv5ytttqKhoYGli9f7rvE43FWrVrFl19+yRVXXEHXrl350Y9+xOGHH87QoUMjn0fSb7qltk5Z8oip6qXApVmrG3CsY17lLwcuj6TxKNyTUU2cXCzKYYWKwtKS60trVH8JUpOYntu2nCPMgDzTVyxW1Z0i7orFkpOuHWoQnLQZIsKkN9/gnnvuziGehBG7DGHELkO4/I+X8dVXX/HYk88w/+uveWPSVH7Qty9Qmhirgw46iA8//JCrr76aww4eS8+e63H0Mcdx1NHHsPkPfuC7n1ffGhoauOCCC7j//vvp3r07w4cPZ9iwYRx//PEMHjyYjh1bx1V36NCBDh06sOGG3u8/EyZM4JhjjgEcgffOO+/wxBNPMG7cONasWcNhhx3Gj370I0aOHNlsVcyXahVhYDPr50e5Ys0qXQAWSqFCohQCtJwu56D7rpT3R+nOw0IR6e1awzJjRy1VRhhrWC4yrWFd6p1RhIgTN7V06VLmzp3DoEGDjOvbbLPNOPesMyLpWz6st956XH311Vx55ZVMnDiRe+97gN2GD2Xrbbblx8eO4yc/PbGFiPISYYsWLeLwww9n44035uOPP6Z3796R9zMWizFs2DCGDRvGlVdeyYwZM3jiiSf45S9/yZw5czj44IP5wx/+QJ8+fULXXc0iDKov73lLyhnIXozgeq/BB21lQEKhtNfjjpq2d96exokZhZaxoxZLIPF07iwct93kSW+xyy67FGydKQexWIxRo0bx9/F/44s58/nlry/ilZdeZGD/fvz9jttRVU8R9v7777PLLruw995788gjjxRFhGUjIvTv35/f/va3TJkyhalTp7Jw4UIefvjh0HVlirDGRMX/XuVFdQsxi8USPQqSCr8EISIPAm8B24jIPDde9CpgXxH5HNjX/WyxBNKlvsbJKh9bF7TwzTcL2Hzzzcvaryjo3rmOHx16IM88/SRPPvEETz/xKB9//BHvv/9+i3JPPPEE++yzD1dffTV/+MMfiJXYq7J27Vq+/PJLZs+ezYwZM0Ltu6aptQhLVP6LY160vdeCQvGzQIUJKqz0EZEm/Yt6qie/L0iYL36hX7JKvy7FxuT8RfVDXIRzrarH+mzyjB21VA/FcEuKOFnp4xm/dV071dPY2BhJW5XCzjvvzMsvv8zjjz/OvvvuyyOPPMKoUaP405/+xPjx43nhhRcYOnRoUfvQ0NDAyy+/zPPPP8/s2bP5+uuvmTdvHitWrKB3795suumm9O/fn1NOOcWovmxXZFqEJZLV+Rtf1UJMPR5M4vcgCvFg8aq3EHz71KpghOKpVKKl2t5gTI+nUuP5oroe1fl7aGnDmMy/WFdXV3VCLM16663Hgw8+yFFHHcWOO+7I8uXLefvtt4vmily9ejXLli1j3LhxPPfcc+ywww4ccsghjB07lk033ZRNN92UDTbYwNgK5xcHlkitE2Er1lZnbrOqFmJVh6l4qjbxA2bH3taOuxz9jUiA2ymOLFFRqDXMT4BlT18EUF9fT0NDNNa3SmTvvffmhRde4JFHHuHSSy+lQ4cOkdavqvznP//h9ttv58UXX+Taa69l99135/rrr2fjjYOndPLDS4SpKklVEkmtahEGVohZLJZ8sELMUiBRuCNNrGCZaKx6LWJphgwZwpAhQ4ILhiCRSPDoo49y7bXXsnr1as4991xuvfVWpk+fzujRowuqO1uEqfvb0izCUtUtwqCqhVi4EYlh3I3GrsRKphIfpJXYp3ypUOtcJG51xWjuSIvFj2JZwfxI/7LU11dfjFgxWbVqFf/4xz+4/vrr6dOnD5dddhkHHnhgZEH/fiKsKakkUilSSs5JzquFKhZi7ZhqEjRhqPbjjuD4oniJEIznjrRYWlFowLWJCPObsLuurq6qXZNR8e2333LzzTdz2223MXLkSB544AF23XXXSNsIEmGJpFb9T3qaKjDtWCyWktNWJqO3VA29utYbW8JWNjiurJQbZ5SmtoqD9aPgiy++4Mwzz2TrrbdmwYIF/O9//+Pxxx+PVIRlp6VQ1eZ4sGwRlr6O1U67s4hFPeLREh1t4tqYCopSTcAdksjOsRVWliIS1vXoRSqlkBWwX19XT0ODFWLZvPPOO1x77bX85z//4ec//zkzZswoKPjej2wBBk4sWPpnqT2KMGiHQsziEnUesfaC6XmrZqFiY8QsRSQKEZYmpUoq5XxnVdW6Jl1Ulffff58nn3ySp556iiVLlnD++edz55130rVr16K0mS3CMgVYStVdaHciDNqjEIsgoWvZ8ogZV1gGkRVFotw2gCaTRuWKMaAjmkB7m77C0n5IqfOQT1NfX09jU/u0iDU1NfG///2Pp556iqeeeop4PM5hhx3GjTfeyIgRI4o67ZOfCMsUYKlU+7OEpWl/QsxisRSOFWKWNoTiuMBqq9wilkwmmTNnDjNnzuTzzz9n5syZzf/Pnj2bgQMHcthhh/Hss8+y/fbbI0V4Uc41QbcVYd5YIZYP9iFkTphzVeh5rTLrW+Vig+8rHRG5CzgIWKSqA9x1DwHbuEV6AMtUdVDWftsAD2Ws+iHwO1X9i4hsAtwHrADGqepKEbkM+DXQV1UXuXWsVNUuxTq29k4ikWDu3LnNQiv9d//992fs2LFsuOGG9OvXj6222op+/fqxxx570K9fP374wx/SsWPHvNr0E1equYVXi36nUkUVYG35nrdCrA1h6pqqijxn+WDFQWlQ7LmufO4GbgbuTa9Q1R+n/xeR64Hvs3dS1U+BQW6ZOPA18IS7+WzgLJwH1fHA39z1i4ELgN9Eewj5k05fkY7VFyAuwpLFi+m1fq/ydcyQRCLRyrKV/jtnzhw22mijZqG11VZbseeee1JfX8/SpUvzFlt+5LRwsS7o3ovMEaslsILdTRu959ufEKtAq0nUMWflGH3YJkY8tnWCxE8p7217uSsaVX1dRPp6bRPHH3U0sFdANXsDX6jqHPdzHOfKp3C0TZq7gBNF5GpV/a6gjuMke40iYD89xVEs43uxePG3rN+rMoRYWmxlC63PP/+cOXPmsPHGG7ewbO25557Nli2vqYsmTJhQVBHmJ7iSWeuzHwXpGL1MAebUF60rsi3f8+1PiFksloKxwfptmt2Bhar6eUC5Y4AHMz7fDPwTx6pwXMb6lTgPpnOASyPsZ96ktVcs6+VkyeLF9Oq1Qcn6kUgkmD17tqdla+7cua3E1t57781WW23lK7ZKiV+qiUyUlsIrc2BEy/9bCjAoeTxYRd/z1SvEFOfqZxMvkdXAq20/StWnaifIIlRh4iFyK2KFHZ+lYjmWlg+bVohIHXAIcFF6nWslGOWzy03Ae677p6xkuyUzIzW+/noevTaIVog1NTW1ElsDBw7klFNOYe7cuWyyySYt3Ij77LNPs9iqr48uVUcU+E2+DS3zfYErtHSdu3Hd+owy5RVfmVT0PV+9QiwsYR5iYURW1G2bUEnu11KKg2oXIkH3XayE173az3WVIiI1wI+AoQFF9wfeVdWFJvWq6jIReQA4I6hsKtHEkplTfbfXxGOtA3lCEBdAxPEjieNPWrVyJZPeeI0e3TozYMy+TJgwIVSdqkpjYyMNDQ2sXbu2xd/GxkZqa2vp0KEDPXr0YOTIkdTX1/PXv/6V+vp6z5GJCxcuZOFCo1NrzMqVK32PK9+vq2b9Jaue1atWMnXS/zz2WPdvgTNaFUwl3PNBtD8hVqoHiIaxdsQjbtvgGKMWa+3lwWx4nEbWrqjPmckLQhRizc/abGkL7AN8oqrzAsoFWhA8uAF4h4DnSqymlvW38n8mFhof1rVDDbGYUBMTauJCXITJb7yG1NRzww038Nlnn3lOWt3U1MSsWbM83YhfffUVm266aQvLVvrvFlts0cqyNWHCBEaPHl3QcYQlu02T0YxBcV/pAHvI/Luu3PtvT2TgTrtl1en8raBUFGW/54Nof0LMYrEUiE1fUemIyIPAaKCXiMwDLlXVO2kdA4M7RP/vqnqA+7kTsC/w8zBtqupiEXkCOC/ffhcqwjLdkjFxRFjaInXH7bdx2mmnEYvFSCQSvPrqq/z73//ms88+4/PPP2fevHlsuummLYTWmDFj6NevH3379q04N2Iu/NNNrPve5gqy9xNfqewXMPWemLscIqyt3vNQ7ULM0yoVgfUplLWrQrEP0uJSqec3KktWpR6fBQBVPdZn/Yke6+YDB2R8Xg2sb9jOZVmfzwfOD9HVZqKa2igWE2IixGI0i7BEMsm/n32a4479MWeddRYPP/wwffv25Uc/+hFjxoxptmzV1dVF0odyki3C/MRX5vRCzet8AuydetbVmRZayQpKwtoW7/k01S3EvGjLLhXTvpcyViiIMOc7V7+juG6VdF7KRVQvEVaIWSqMLvU1iLS0hqVZtvQ7vv/+e84//3zGjRvHxIkT6devXxl7Gz1eyVWzRztmiy8vd2MFBdi3YvGK6pwVof0JMYvFUhg2RswSMVG4JEVaWsMy6dGjB1OnTmXw4MFFmdYnKkyz1AcRRoB5Wb0qSXy1B6wQywON+CEkUgUPtSjOSbEf7tUuHkrmMtfqcM9bqoKWIqx1bFjHWqitrWXIkCFl7qk/QQIsV/b65jI40whB63gvr/QS2ZYvqGwBVq3WMKhiIaZ4CybxCxGrpgdLtQuOchKlezjsdaqke9S6Ji0RUYg1zEuEtaUZ3nLl7UqTHVSfJntgdjq5ahi3I1S2+EpTzSIMqliI+eLzMIvayhWKcjxgpUS/VmGOLVefTOop1TGZUKFiOJL73LomLRWAlwhLp6toCwTFc4H/dEGe69SdWNtjhGP2bm1BfLUn2p8Qs1gshWMtYpYy08oSliHA2locWM7s9bQWYF7vQYqSSFZuoH2+VLs1DNqhECur5cuHyGPOTNxiUVvhoqiv0DqC9q8ki1keVNS9a4WYpYxk5wtLuyQzY8PAiQ+rBHLFgKlqCwGWy7UIrXN5NX8VNfqJtMtNexBhUM1CTH0CiqN4GJcrVqeChUQUIiGXgDSpP1CAllIsmlyrSor5CoVN6GopLy1GSGaIsEojKAbMNIO9iZuxknJ6RUF7EWFQzUKsGjF+cAcnra0o64pLJfYpG9M+SqxCRVYkYpTWwSsWS54sXtEQKmC/S32Nb3B+JVnDCs3p1Z5jvNqTCAMrxCwWSz5Yi5ilDGQnbU1TSS7JNU2tvx5p9yO0FGCmIxuh+sUXtD8BlsYKsSqkLViWPCnQWqOp3O5Ao9g5ixlWiFkiJIxVLMglWS4Rlmt+x+wYMFPrV3sQX2naqwgDK8TWEUIElCW43lIwpRSoRWmrYmLK1KavsJSFtOZKqTZbxJKqLcSYd1xWdFnrTckeCZlLgLVX8QXtW4ClqWoh5pnQNYrYncgfiBFMRJ5JOR7YFSMSLEVHQe31tkRIvkldUymIxVwxRnnTVmQG4SstBRh4TyvUngUYWBGWpqqFmMVisViqg3TKimzSYgxaiqEoRJnJ1ELQOvt9Zpb7ICtYexNgVny1xgqxCsC6Oi1tDuuatJSZTPdkKgXEnHsy7abMtlCZiiov/KYZam47G10nwqwAs+IriOoWYp7uk4jdgJbKoQTuspcaHwgss1/dccVpu+lfRalX5KHwO9lgfUtEFDLXZLYYS7spMwmTXyy04MIr673zOZFKj5JsHYhf7SLMCq9wVLcQaytUesxZiSjUMlgxlsBqj59StXnELBVDK8uYS9pdmRZXuUSWZ70et3jOuR6bPzsWOKeOtmkFMxVSiWTKiq4IsELMYrGEx1rELBVEphhrXucKqViICUlMrV5e61q+RyqplLa5YHwrqsqDFWIWiyU0ai1ilhKzsiFBl/oax8oUE6Cl+PISY+CIq3wng/BzO7Zcl9lW23RDWgFWXqpWiG099Ie8POWRcnej3VCs+KW2SPWfCzvXpKUySAujZtdkxn3pJcpM6zPZllOAVYgIswKrbVC1QsxisRQJxY6atJSdZsMYPq7JTOGkuUVW7nZCCDCXck/AXa0CbO6K1eXuQlGwQsxisYSn2gckWCqSTPdkLCaBYixfglyQULluSCvC2h4hwhjDISJ3icgiEZmesW49EXlZRD53//bM2HaRiMwUkU9FZEzG+qEi8qG77SYpZ+pki8Xi5GRKaejFYvEiX+GQFkKpjBm31uXu0tAWsFz7ZVvBKlGEVfMIxmoWYVBEIQbcDYzNWnch8Kqq9gNedT8jIv2BY4Dt3X1uFZF0DobbgFOBfu6SXafFYiklqo5FLOxisfgQRkCsbEg0i59MQeSl9Vtmttecix+5XJGVIMIWr2ioWgHWXiiaEFPV14HvslYfCtzj/n8PcFjG+n+paoOqzgJmAruISG+gm6q+pU5a5Hsz9rFYLGXCWsQsUVOIGMu2jkVxu2XX4xcPVi4R1l4EWLVbw6D0MWIbqeoCAFVdICIbuus3BSZllJvnrmty/89eb7FYyom1cFnKTDpeDEBknVCKxdIjKPOr19OyVkYR1h7Elh/tQYRB5QTre8V9aY713pWInIrjxgRYKSKfRtC3SqAXsLjcnSgj9viLe/w/CFN4BUtffEUf7ZVHO+35GlpcPpn+3tRdt+oZXNBi8abqfkdKLcQWikhv1xrWG1jkrp8HbJZRrg8w313fx2O9J6o6HhgfbZfLj4hMUdWdyt2PcmGPv7KOX1VtnKYlbyrpXrZYKoFiBut78TRwgvv/CcBTGeuPEZF6EdkCJyj/bdeNuUJEhrujJX+asY/FYrFYLBZLm6ZoFjEReRAYDfQSkXnApcBVwMMicjIwFzgKQFU/EpGHgY+BBHCmqibdqk7HGYHZEXjeXSwWi8VisVjaPKJ2qpKKR0ROdd2u7RJ7/O37+C0Wi6WaKbVr0pIH7f0hbI+/fR+/pX0jIj1E5FER+UREZojIrhnbfikiKiKeg0dE5BwRmS4iH4nIuRnrNxGR/4jIUyLSxW1jSTphuIjs6tbbx/3cXUS+E5GiPDPzPUYR2UZE3stYlqePs9KO0eKPPeEWi8ViqWRuBF5Q1W2BHYEZACKyGbAvTphLK0RkAHAKsIu730Ei0s/dfDZwFvB34HhVXQZ8A2znbh8BTHP/AgwHJqsWLW9LXseoqp+q6iBVHQQMBVYDT7ibK+0YLT5YIVZGfKaBeijj7Wa2iLzns6/nm15bwuf4B4nIJPf4p4jILj77jnWnw5opIheWrtfRUeDxt9rXYqk2RKQbMAq4E0BVG11BAfBn4Nf4pzTaDpikqqtVNQG8BhzubosDKXdJp0l6g3WiZIRbf+bnNyM4pFYUeIyZ7A18oapz3M8Vc4yW3FghVl7uJmvKJlX9ccYbzmPA49k7BbzptSXupvWUVdcAv3eP/3fu5xa401/dAuwP9AeOdafJamvcTR7Hn2Nfi6Xa+CHwLfAPEZkmIn8Xkc4icgjwtaq+n2Pf6cAoEVlfRDoBB7AuTdLNwO3AacB97ro3WSdKfgg8AqRTbYzAETHFoJBjzOQY4MGMz5V0jJYcWCFWRnymgQLA9eMfTcsvVppcb3ptBp/jV6Cb+393vPPG7QLMVNUvVbUR+BfONFltigKOP+e9Y7FUETXAEOA2VR0MrAIuA36L86Lii6rOAK4GXgZeAN7HGZWPqs5R1VGqerCqrnB3eQMY4aZQmq2qa3F+irvguP3ejvrgXPI+xjQiUgccgiOsgIo7RksOrBCrXHYHFqrq5x7bcr3ptXXOBa4Vka+A64CLPMpsCnyV8bmapr46l+Djt1jaC/OAeao62f38KI5o2QJ4X0Rm4yT6fldENs7eWVXvVNUhqjoK58XF6/c0XfZzoCdwMPCWu3oq8DNglqqujOaQWlHQMbrsD7yrqgtzNVTGY7TkwAqxyuVYvK1hOd/0qoDTgfNUdTPgPNy4iSxCTX3VxjA5foulXaCq3wBficg27qq9cQTHhqraV1X74giZIW7ZFog7n7GIbA78CJ/f1AzeAs5hnUh5C+flqGixU4Ueo4vv88KDkh+jJTdWiFUgIlKD86PxkF+ZMG96bYwTWBcX9wiOGzIbvymxqgGT47dY2hNnAfeLyAfAIOAKv4JuyobnMlY9JiIfA8/gJApfGtDWGzi/LVPcz2/hxFIVW6TkfYyuV2RfPOKJfSjXMVp8qJRJvy0t2Qf4RFXn+RUQkQ1VdVHGm96ufmXbGPOBPYAJwF54C8x3gH5unMPXOEGqx5Wqg0XG5PgtlnaDqr7HuoByr+19M/6fjxOqkf68e8i2rgWuzfg8G28LfKQUeIyrgfVDtFWWY7T4Yy1iZUScaaDeArYRkXniTP0ErUe/RPGmV3H4HP8pwPUi8j7OW+Gpbtnm43cHKPwCeBEn387DqvpROY6hEPI9/hz7WiwWi6WNYac4slgsFovFYikT1iJmsVgsFovFUiasELNYLBaLxWIpE1aIWSwWi8VisZQJK8QsFovFYrFYyoQVYhaLxWKxWCxlwgoxS05ExHjKCxEZLSIjMj6fJiI/df8/UUQ2yaP92SLSK+x+FovFYrG0BWxCV0uUjAZW4mZoVtW/ZWw7EWeOzGrJgG+xWCwWS8FYIWYJjYgcDFwC1AFLgHFAR+A0ICkix+NM2bE3jjCbjZM1+n4RWYMzC8AMYCdVXSwiOwHXqepoEVkfJ5ntBsDbZGR8dus92213MnCGqiaLf8QWi8VisRQH65q05MNEYLiqDgb+BfzanSbjb8CfVXWQqv4vXVhVH8WZ12ycu21NjrovBSa6dT8NbA4gItsBPwZ2U9VBQBJHAFosFovF0maxFjFLPvQBHhKR3jjWqVkR1j0KZ+5MVPXfIpKeumlvYCjwjoiAY4FbFGG7FovFYrGUHCvELPnwV+AGVX1aREYDl+VRR4J1FtkOWdu85t0S4B5VvSiPtiwWi8ViqUisa9KSD92Br93/T8hYvwLo6rNP9rbZOBYugCMy1r+O63IUkf2Bnu76V4EjRWRDd9t6IvKDPPtvsVgsFktFYIWYJYhOIjIvYzkfxwL2iIj8D1icUfYZ4HAReU9Eds+q527gb+62jsDvgRvdOjID7n8PjBKRd4H9gLkAqvoxzgCBl0TkA+BloHfUB2uxWCwWSykRVS8vkMVisVgsFoul2FiLmMVisVgsFkuZsELMYrFYLBaLpUxYIWaxWCwWi8VSJqwQs1gsFovFYikTVohZLBaLxWKxlAkrxCwWi8VisVjKhBViFovFYrFYLGXCCjGLxWKxWCyWMvH/AZzw+XO6DaCWAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_section(sec)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1\n",
      "2\n",
      "3\n",
      "4\n",
      "5\n",
      "6\n",
      "7\n",
      "8\n",
      "9\n",
      "10\n",
      "11\n",
      "12\n",
      "13\n",
      "14\n",
      "15\n",
      "16\n",
      "17\n",
      "18\n",
      "19\n",
      "20\n",
      "21\n",
      "22\n"
     ]
    }
   ],
   "source": [
    "# make a loop to 'process' the data into sections:\n",
    "# first need to make a directory to save into\n",
    "\n",
    "for ind in range(len(sect_times)):\n",
    "    print(ind)\n",
    "    \n",
    "    # get the start and end times\n",
    "    start = sect_times.iloc[ind].starttime\n",
    "    stop = sect_times.iloc[ind].endtime\n",
    "    \n",
    "    # grab just this section\n",
    "    sec = ru29ds.sel(date = slice(start, stop))\n",
    "    \n",
    "    # get the index of the southernmost point\n",
    "    southern_point = sec.lat.argmin().values\n",
    "    \n",
    "    # get the distance from the southernmost point\n",
    "    dist = get_dist_from_point( sec.lat, sec.lon, \n",
    "                           sec.lat[southern_point], sec.lon[southern_point])\n",
    "    \n",
    "    # add the distance as a coordinate:\n",
    "    sec = sec.assign_coords(distance = ('date', dist))\n",
    "    \n",
    "    # make a filename:\n",
    "    save_path = './processed_sections/'\n",
    "    fname = 'section' + str(ind) + '.nc'\n",
    "    # save this section:\n",
    "    sec.to_netcdf(save_path + fname)\n",
    "#     plot_section(sec)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}