From 858345f66bddf7915a99959248ce8faac7daf9a5 Mon Sep 17 00:00:00 2001
From: uchidat <uchidat@ige-template-domOK.lthe.local>
Date: Wed, 7 Apr 2021 19:15:58 +0200
Subject: [PATCH] rcparams

---
 SOCCOM/5904185.ipynb | 126 +++++++++++++------------------------------
 1 file changed, 38 insertions(+), 88 deletions(-)

diff --git a/SOCCOM/5904185.ipynb b/SOCCOM/5904185.ipynb
index 36b91f4..9a710c2 100755
--- a/SOCCOM/5904185.ipynb
+++ b/SOCCOM/5904185.ipynb
@@ -23,6 +23,8 @@
     "import matplotlib.ticker as tick\n",
     "import matplotlib.path as mpath\n",
     "import matplotlib.pyplot as plt\n",
+    "import matplotlib as mpl\n",
+    "mpl.rcParams['pcolor.shading'] = 'auto'\n",
     "%matplotlib inline"
    ]
   },
@@ -35,7 +37,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -550,22 +552,22 @@
        "    comment:              free text\n",
        "    user_manual_version:  3.2\n",
        "    Conventions:          Argo-3.2 CF-1.6\n",
-       "    featureType:          trajectoryProfile</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-d23968ac-7b4b-4aae-a349-13eaccfc53ba' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d23968ac-7b4b-4aae-a349-13eaccfc53ba' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>N_CALIB</span>: 1</li><li><span>N_HISTORY</span>: 0</li><li><span>N_LEVELS</span>: 497</li><li><span>N_PARAM</span>: 6</li><li><span>N_PROF</span>: 398</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c1dc658f-88d6-4f2f-8c03-48049462bec9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c1dc658f-88d6-4f2f-8c03-48049462bec9' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-a210f057-378d-4a06-905f-7f575baac178' class='xr-section-summary-in' type='checkbox'  ><label for='section-a210f057-378d-4a06-905f-7f575baac178' class='xr-section-summary' >Data variables: <span>(95)</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>DATA_TYPE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d7a38069-415d-47aa-bc8c-b0404e0cfb03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7a38069-415d-47aa-bc8c-b0404e0cfb03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7382946-1fe5-4835-8bdd-4532a74ca58a' class='xr-var-data-in' type='checkbox'><label for='data-e7382946-1fe5-4835-8bdd-4532a74ca58a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Data type</dd><dt><span>conventions :</span></dt><dd>Argo reference table 1</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;Argo profile merged             &#x27;, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FORMAT_VERSION</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-097ff66e-6d91-4c98-92d5-3d6f20866283' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-097ff66e-6d91-4c98-92d5-3d6f20866283' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe0cfbef-14cd-4d23-82ca-45e4013b2def' class='xr-var-data-in' type='checkbox'><label for='data-fe0cfbef-14cd-4d23-82ca-45e4013b2def' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>File format version</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;3.1 &#x27;, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HANDBOOK_VERSION</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4a9f6efa-551b-45a6-be74-5cc832f76c36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a9f6efa-551b-45a6-be74-5cc832f76c36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5623ced2-f45b-472d-842d-f43c51ea83f6' class='xr-var-data-in' type='checkbox'><label for='data-5623ced2-f45b-472d-842d-f43c51ea83f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Data handbook version</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;1.2 &#x27;, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>REFERENCE_DATE_TIME</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-966dd971-6db7-4340-b47b-3a49a76c3eb8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-966dd971-6db7-4340-b47b-3a49a76c3eb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95755243-4666-41fb-bdea-e16e85290d6e' class='xr-var-data-in' type='checkbox'><label for='data-95755243-4666-41fb-bdea-e16e85290d6e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Date of reference for Julian days</dd><dt><span>conventions :</span></dt><dd>YYYYMMDDHHMISS</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;19500101000000&#x27;, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DATE_CREATION</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4f790f27-ab9a-4e50-b80a-e262393f4c98' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f790f27-ab9a-4e50-b80a-e262393f4c98' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de8b935c-6f59-4ccf-ac94-a64b385c0b3c' class='xr-var-data-in' type='checkbox'><label for='data-de8b935c-6f59-4ccf-ac94-a64b385c0b3c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Date of file creation</dd><dt><span>conventions :</span></dt><dd>YYYYMMDDHHMISS</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;20181211035654&#x27;, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DATE_UPDATE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ed8823e2-8a24-4e4d-92ba-9234279774ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed8823e2-8a24-4e4d-92ba-9234279774ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc559584-afc8-4ed5-8695-383805e8f876' class='xr-var-data-in' type='checkbox'><label for='data-cc559584-afc8-4ed5-8695-383805e8f876' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Date of update of this file</dd><dt><span>conventions :</span></dt><dd>YYYYMMDDHHMISS</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;20181211035654&#x27;, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PLATFORM_NUMBER</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9b6f8265-0c39-448a-8029-796d3a861dc7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b6f8265-0c39-448a-8029-796d3a861dc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8319ecbf-1d56-4366-b6bc-03e280f2c450' class='xr-var-data-in' type='checkbox'><label for='data-8319ecbf-1d56-4366-b6bc-03e280f2c450' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Float unique identifier</dd><dt><span>conventions :</span></dt><dd>WMO float identifier : A9IIIII</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;5904185 &#x27;, b&#x27;5904185 &#x27;, b&#x27;5904185 &#x27;, ..., b&#x27;5904185 &#x27;, b&#x27;5904185 &#x27;,\n",
-       "       b&#x27;5904185 &#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PROJECT_NAME</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-acaa278e-8d02-4ea4-a01d-36936543f714' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-acaa278e-8d02-4ea4-a01d-36936543f714' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab78185c-251b-4849-b96a-42749ea5e0ca' class='xr-var-data-in' type='checkbox'><label for='data-ab78185c-251b-4849-b96a-42749ea5e0ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Name of the project</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;UW, SOCCOM, Argo equivalent                                     &#x27;,\n",
+       "    featureType:          trajectoryProfile</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-8201d775-947f-4a3e-84b8-fcb0df01ab75' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8201d775-947f-4a3e-84b8-fcb0df01ab75' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>N_CALIB</span>: 1</li><li><span>N_HISTORY</span>: 0</li><li><span>N_LEVELS</span>: 497</li><li><span>N_PARAM</span>: 6</li><li><span>N_PROF</span>: 398</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-0c419a76-0215-45ed-930c-fc63462f17d1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0c419a76-0215-45ed-930c-fc63462f17d1' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e085758e-3692-4041-8dd4-62fe19f27973' class='xr-section-summary-in' type='checkbox'  ><label for='section-e085758e-3692-4041-8dd4-62fe19f27973' class='xr-section-summary' >Data variables: <span>(95)</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>DATA_TYPE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5b6aa5a3-8528-4a4c-9688-3c909c01fdad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b6aa5a3-8528-4a4c-9688-3c909c01fdad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5920f9c7-2ac7-43c5-9fc0-06d973d42129' class='xr-var-data-in' type='checkbox'><label for='data-5920f9c7-2ac7-43c5-9fc0-06d973d42129' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Data type</dd><dt><span>conventions :</span></dt><dd>Argo reference table 1</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;Argo profile merged             &#x27;, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FORMAT_VERSION</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1ae97612-7621-46d2-90be-d892291b9808' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ae97612-7621-46d2-90be-d892291b9808' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3a39160-50f0-482a-b6e5-34128548b76b' class='xr-var-data-in' type='checkbox'><label for='data-f3a39160-50f0-482a-b6e5-34128548b76b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>File format version</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;3.1 &#x27;, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HANDBOOK_VERSION</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4ecb7286-fb5c-408b-8fa0-edc0dd187a8e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ecb7286-fb5c-408b-8fa0-edc0dd187a8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3bfd255c-eb7b-44e8-8dba-10ba6209fc9b' class='xr-var-data-in' type='checkbox'><label for='data-3bfd255c-eb7b-44e8-8dba-10ba6209fc9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Data handbook version</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;1.2 &#x27;, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>REFERENCE_DATE_TIME</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-033ebd43-c759-49a7-85c5-6a95ff2b9543' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-033ebd43-c759-49a7-85c5-6a95ff2b9543' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-544bb705-44da-4eee-b5f6-23b289c2dc20' class='xr-var-data-in' type='checkbox'><label for='data-544bb705-44da-4eee-b5f6-23b289c2dc20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Date of reference for Julian days</dd><dt><span>conventions :</span></dt><dd>YYYYMMDDHHMISS</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;19500101000000&#x27;, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DATE_CREATION</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fc959ffb-17e7-429e-af3b-4d41b3632745' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc959ffb-17e7-429e-af3b-4d41b3632745' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ac46df1-b70a-43c3-83d8-6afd5bf3d3ad' class='xr-var-data-in' type='checkbox'><label for='data-1ac46df1-b70a-43c3-83d8-6afd5bf3d3ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Date of file creation</dd><dt><span>conventions :</span></dt><dd>YYYYMMDDHHMISS</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;20181211035654&#x27;, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DATE_UPDATE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5fd3ee0b-3aee-44a4-9679-49a9f4501d30' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5fd3ee0b-3aee-44a4-9679-49a9f4501d30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f190f486-f7bc-49fa-bd20-89992b60e292' class='xr-var-data-in' type='checkbox'><label for='data-f190f486-f7bc-49fa-bd20-89992b60e292' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Date of update of this file</dd><dt><span>conventions :</span></dt><dd>YYYYMMDDHHMISS</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;20181211035654&#x27;, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PLATFORM_NUMBER</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e0c1d0d0-9e65-4acd-a61b-eae860c7d8e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0c1d0d0-9e65-4acd-a61b-eae860c7d8e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4bdb065d-6432-4091-9f14-c0d5044430eb' class='xr-var-data-in' type='checkbox'><label for='data-4bdb065d-6432-4091-9f14-c0d5044430eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Float unique identifier</dd><dt><span>conventions :</span></dt><dd>WMO float identifier : A9IIIII</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;5904185 &#x27;, b&#x27;5904185 &#x27;, b&#x27;5904185 &#x27;, ..., b&#x27;5904185 &#x27;, b&#x27;5904185 &#x27;,\n",
+       "       b&#x27;5904185 &#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PROJECT_NAME</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a2362ad7-ee7b-41e8-aa90-6da08113040f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2362ad7-ee7b-41e8-aa90-6da08113040f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5557ca1-a96d-40c8-8103-9fe0179b5c8b' class='xr-var-data-in' type='checkbox'><label for='data-d5557ca1-a96d-40c8-8103-9fe0179b5c8b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Name of the project</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;UW, SOCCOM, Argo equivalent                                     &#x27;,\n",
        "       b&#x27;UW, SOCCOM, Argo equivalent                                     &#x27;,\n",
        "       b&#x27;UW, SOCCOM, Argo equivalent                                     &#x27;,\n",
        "       ...,\n",
        "       b&#x27;UW, SOCCOM, Argo equivalent                                     &#x27;,\n",
        "       b&#x27;UW, SOCCOM, Argo equivalent                                     &#x27;,\n",
        "       b&#x27;UW, SOCCOM, Argo equivalent                                     &#x27;],\n",
-       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PI_NAME</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-691b5f5d-30cd-4a6e-8725-4795d9530484' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-691b5f5d-30cd-4a6e-8725-4795d9530484' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb66b657-4386-40e3-9bb3-9ca4e9399e7c' class='xr-var-data-in' type='checkbox'><label for='data-bb66b657-4386-40e3-9bb3-9ca4e9399e7c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Name of the principal investigator</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;STEPHEN RISER , KENNETH JOHNSON                                 &#x27;,\n",
+       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PI_NAME</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3aa25392-1735-4a0a-ad4f-afd58951759f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3aa25392-1735-4a0a-ad4f-afd58951759f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e3b9041-ebc0-4a50-9598-4cf34d953016' class='xr-var-data-in' type='checkbox'><label for='data-5e3b9041-ebc0-4a50-9598-4cf34d953016' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Name of the principal investigator</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;STEPHEN RISER , KENNETH JOHNSON                                 &#x27;,\n",
        "       b&#x27;STEPHEN RISER , KENNETH JOHNSON                                 &#x27;,\n",
        "       b&#x27;STEPHEN RISER , KENNETH JOHNSON                                 &#x27;,\n",
        "       ...,\n",
        "       b&#x27;STEPHEN RISER, KENNETH JOHNSON                                  &#x27;,\n",
        "       b&#x27;STEPHEN RISER, KENNETH JOHNSON                                  &#x27;,\n",
        "       b&#x27;STEPHEN RISER, KENNETH JOHNSON                                  &#x27;],\n",
-       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>STATION_PARAMETERS</span></div><div class='xr-var-dims'>(N_PROF, N_PARAM)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cdaf050d-41c0-4125-85e7-b2cb39e79cab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cdaf050d-41c0-4125-85e7-b2cb39e79cab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-020581be-454d-40e0-b855-d065dddfe826' class='xr-var-data-in' type='checkbox'><label for='data-020581be-454d-40e0-b855-d065dddfe826' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>List of available parameters for the station</dd><dt><span>conventions :</span></dt><dd>Argo reference table 3</dd></dl></div><div class='xr-var-data'><pre>array([[b&#x27;PRES                                                            &#x27;,\n",
+       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>STATION_PARAMETERS</span></div><div class='xr-var-dims'>(N_PROF, N_PARAM)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-38fa4683-5a92-49de-b50d-3ebcca3cc912' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38fa4683-5a92-49de-b50d-3ebcca3cc912' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3eb1f07f-64a0-4b2a-b79f-482d3dfc5b4b' class='xr-var-data-in' type='checkbox'><label for='data-3eb1f07f-64a0-4b2a-b79f-482d3dfc5b4b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>List of available parameters for the station</dd><dt><span>conventions :</span></dt><dd>Argo reference table 3</dd></dl></div><div class='xr-var-data'><pre>array([[b&#x27;PRES                                                            &#x27;,\n",
        "        b&#x27;TEMP                                                            &#x27;,\n",
        "        b&#x27;PSAL                                                            &#x27;,\n",
        "        b&#x27;                                                                &#x27;,\n",
@@ -602,47 +604,47 @@
        "        b&#x27;                                                                &#x27;,\n",
        "        b&#x27;                                                                &#x27;,\n",
        "        b&#x27;                                                                &#x27;]],\n",
-       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CYCLE_NUMBER</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5c7ae859-3643-4925-a5e7-0d979473aac3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c7ae859-3643-4925-a5e7-0d979473aac3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5d3b199-57f1-42f1-9861-ba7e1eb53ac4' class='xr-var-data-in' type='checkbox'><label for='data-d5d3b199-57f1-42f1-9861-ba7e1eb53ac4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Float cycle number</dd><dt><span>conventions :</span></dt><dd>0...N, 0 : launch cycle (if exists), 1 : first complete cycle</dd></dl></div><div class='xr-var-data'><pre>array([  1.,   1.,   2., ..., 164., 164., 164.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DIRECTION</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8c8094bd-5f78-4b02-9dac-117b20756722' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c8094bd-5f78-4b02-9dac-117b20756722' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5317290c-6fe0-4fe4-b70c-25e639a1b534' class='xr-var-data-in' type='checkbox'><label for='data-5317290c-6fe0-4fe4-b70c-25e639a1b534' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Direction of the station profiles</dd><dt><span>conventions :</span></dt><dd>A: ascending profiles, D: descending profiles</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, ..., b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DATA_CENTRE</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-94a0ec75-7745-445d-a06f-4d37fd62bf66' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94a0ec75-7745-445d-a06f-4d37fd62bf66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4fcf31a-f460-4436-b8a3-20a45829b231' class='xr-var-data-in' type='checkbox'><label for='data-a4fcf31a-f460-4436-b8a3-20a45829b231' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Data centre in charge of float data processing</dd><dt><span>conventions :</span></dt><dd>Argo reference table 4</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;AO&#x27;, b&#x27;AO&#x27;, b&#x27;AO&#x27;, ..., b&#x27;AO&#x27;, b&#x27;AO&#x27;, b&#x27;AO&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DC_REFERENCE</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-264b5541-c884-484a-b607-c7f5467741a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-264b5541-c884-484a-b607-c7f5467741a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0ee7eac-1380-463d-ace0-bf49b5bacc19' class='xr-var-data-in' type='checkbox'><label for='data-d0ee7eac-1380-463d-ace0-bf49b5bacc19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Station unique identifier in data centre</dd><dt><span>conventions :</span></dt><dd>Data centre convention</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;4690_9092_001                   &#x27;,\n",
+       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CYCLE_NUMBER</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ba25deda-8d0f-47ab-baf0-9ee5238ab8d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba25deda-8d0f-47ab-baf0-9ee5238ab8d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16117cba-297c-4049-bfe6-00a50c4844ac' class='xr-var-data-in' type='checkbox'><label for='data-16117cba-297c-4049-bfe6-00a50c4844ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Float cycle number</dd><dt><span>conventions :</span></dt><dd>0...N, 0 : launch cycle (if exists), 1 : first complete cycle</dd></dl></div><div class='xr-var-data'><pre>array([  1.,   1.,   2., ..., 164., 164., 164.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DIRECTION</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f404786b-1946-4db2-8420-30bdf9ca98af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f404786b-1946-4db2-8420-30bdf9ca98af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-795d5ea5-2c2f-44da-9a6a-7c99d111e327' class='xr-var-data-in' type='checkbox'><label for='data-795d5ea5-2c2f-44da-9a6a-7c99d111e327' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Direction of the station profiles</dd><dt><span>conventions :</span></dt><dd>A: ascending profiles, D: descending profiles</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, ..., b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DATA_CENTRE</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e34846b9-8ebb-4d9f-a013-40f225e198a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e34846b9-8ebb-4d9f-a013-40f225e198a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bc83dbe-0cb2-472c-a3c0-bcd21bb4894b' class='xr-var-data-in' type='checkbox'><label for='data-7bc83dbe-0cb2-472c-a3c0-bcd21bb4894b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Data centre in charge of float data processing</dd><dt><span>conventions :</span></dt><dd>Argo reference table 4</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;AO&#x27;, b&#x27;AO&#x27;, b&#x27;AO&#x27;, ..., b&#x27;AO&#x27;, b&#x27;AO&#x27;, b&#x27;AO&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DC_REFERENCE</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dee09b57-aad6-4102-acb9-2bc2045d71ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dee09b57-aad6-4102-acb9-2bc2045d71ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6123ad56-a17b-445e-bca0-a7de9df03743' class='xr-var-data-in' type='checkbox'><label for='data-6123ad56-a17b-445e-bca0-a7de9df03743' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Station unique identifier in data centre</dd><dt><span>conventions :</span></dt><dd>Data centre convention</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;4690_9092_001                   &#x27;,\n",
        "       b&#x27;4690_9092_001                   &#x27;,\n",
        "       b&#x27;4690_9092_002                   &#x27;, ...,\n",
        "       b&#x27;4690                            &#x27;,\n",
        "       b&#x27;4690                            &#x27;,\n",
-       "       b&#x27;4690                            &#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DATA_STATE_INDICATOR</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-66f31040-56d4-436e-9d34-8c6c4d4b07cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66f31040-56d4-436e-9d34-8c6c4d4b07cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60537b2c-5f74-4098-885b-e839a2a2df6f' class='xr-var-data-in' type='checkbox'><label for='data-60537b2c-5f74-4098-885b-e839a2a2df6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Degree of processing the data have passed through</dd><dt><span>conventions :</span></dt><dd>Argo reference table 6</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;2C  &#x27;, b&#x27;2C  &#x27;, b&#x27;2C  &#x27;, ..., b&#x27;2B  &#x27;, b&#x27;2B  &#x27;, b&#x27;2B  &#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DATA_MODE</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-853f7eec-1e3b-495c-a3c8-40489400d3f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-853f7eec-1e3b-495c-a3c8-40489400d3f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41ce8517-8e96-4737-aced-8f2021865f65' class='xr-var-data-in' type='checkbox'><label for='data-41ce8517-8e96-4737-aced-8f2021865f65' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Delayed mode or real time data</dd><dt><span>conventions :</span></dt><dd>R : real time; D : delayed mode; A : real time with adjustment</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;D&#x27;, b&#x27;D&#x27;, b&#x27;D&#x27;, ..., b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PARAMETER_DATA_MODE</span></div><div class='xr-var-dims'>(N_PROF, N_PARAM)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8efe568e-fc8c-46d9-888e-f9f3b9483daa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8efe568e-fc8c-46d9-888e-f9f3b9483daa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19d8dc23-7766-4739-9cac-487eda0cb32f' class='xr-var-data-in' type='checkbox'><label for='data-19d8dc23-7766-4739-9cac-487eda0cb32f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Delayed mode or real time data</dd><dt><span>conventions :</span></dt><dd>R : real time; D : delayed mode; A : real time with adjustment</dd></dl></div><div class='xr-var-data'><pre>array([[b&#x27;D&#x27;, b&#x27;D&#x27;, b&#x27;D&#x27;, nan, nan, nan],\n",
+       "       b&#x27;4690                            &#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DATA_STATE_INDICATOR</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-415163b3-618c-4aa4-a85e-6de2f91a6dce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-415163b3-618c-4aa4-a85e-6de2f91a6dce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ed0f78b-d693-4f5d-8a6c-2425daf4cae2' class='xr-var-data-in' type='checkbox'><label for='data-5ed0f78b-d693-4f5d-8a6c-2425daf4cae2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Degree of processing the data have passed through</dd><dt><span>conventions :</span></dt><dd>Argo reference table 6</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;2C  &#x27;, b&#x27;2C  &#x27;, b&#x27;2C  &#x27;, ..., b&#x27;2B  &#x27;, b&#x27;2B  &#x27;, b&#x27;2B  &#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DATA_MODE</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7d6bebc2-714d-45ac-829d-1c812d7cd537' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d6bebc2-714d-45ac-829d-1c812d7cd537' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd66d05b-e801-4542-b370-d1ae5addff6e' class='xr-var-data-in' type='checkbox'><label for='data-dd66d05b-e801-4542-b370-d1ae5addff6e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Delayed mode or real time data</dd><dt><span>conventions :</span></dt><dd>R : real time; D : delayed mode; A : real time with adjustment</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;D&#x27;, b&#x27;D&#x27;, b&#x27;D&#x27;, ..., b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PARAMETER_DATA_MODE</span></div><div class='xr-var-dims'>(N_PROF, N_PARAM)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bf4931eb-d693-4d30-9446-55fc87f6292d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf4931eb-d693-4d30-9446-55fc87f6292d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d8e4b77-a7e8-412e-af94-4396d701d325' class='xr-var-data-in' type='checkbox'><label for='data-8d8e4b77-a7e8-412e-af94-4396d701d325' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Delayed mode or real time data</dd><dt><span>conventions :</span></dt><dd>R : real time; D : delayed mode; A : real time with adjustment</dd></dl></div><div class='xr-var-data'><pre>array([[b&#x27;D&#x27;, b&#x27;D&#x27;, b&#x27;D&#x27;, nan, nan, nan],\n",
        "       [b&#x27;D&#x27;, b&#x27;D&#x27;, b&#x27;D&#x27;, b&#x27;R&#x27;, b&#x27;D&#x27;, b&#x27;D&#x27;],\n",
        "       [b&#x27;D&#x27;, b&#x27;D&#x27;, b&#x27;D&#x27;, nan, nan, nan],\n",
        "       ...,\n",
        "       [b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;R&#x27;, b&#x27;A&#x27;, b&#x27;R&#x27;],\n",
        "       [b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, nan, nan, nan],\n",
-       "       [b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, nan, nan, nan]], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PLATFORM_TYPE</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b89b6d3b-3439-4b43-8c17-28a39cb11442' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b89b6d3b-3439-4b43-8c17-28a39cb11442' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7cd7c0d-4e3b-4622-be13-f68cae8c9af4' class='xr-var-data-in' type='checkbox'><label for='data-e7cd7c0d-4e3b-4622-be13-f68cae8c9af4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Type of float</dd><dt><span>conventions :</span></dt><dd>Argo reference table 23</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;APEX                            &#x27;,\n",
+       "       [b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, nan, nan, nan]], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PLATFORM_TYPE</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-80df64be-7113-46a7-8af5-0538f22af2c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80df64be-7113-46a7-8af5-0538f22af2c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b657d1f1-3cbf-4952-ad66-66f76e71c65e' class='xr-var-data-in' type='checkbox'><label for='data-b657d1f1-3cbf-4952-ad66-66f76e71c65e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Type of float</dd><dt><span>conventions :</span></dt><dd>Argo reference table 23</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;APEX                            &#x27;,\n",
        "       b&#x27;APEX                            &#x27;,\n",
        "       b&#x27;APEX                            &#x27;, ...,\n",
        "       b&#x27;APEX                            &#x27;,\n",
        "       b&#x27;APEX                            &#x27;,\n",
-       "       b&#x27;APEX                            &#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FLOAT_SERIAL_NO</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-066bec5a-2261-4ffd-aab9-977a1b1d911a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-066bec5a-2261-4ffd-aab9-977a1b1d911a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7297145f-fdb6-49ba-b058-7e1323743154' class='xr-var-data-in' type='checkbox'><label for='data-7297145f-fdb6-49ba-b058-7e1323743154' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Serial number of the float</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;6712                            &#x27;,\n",
+       "       b&#x27;APEX                            &#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FLOAT_SERIAL_NO</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-73913e63-5da2-4b4e-8a63-781d93359927' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73913e63-5da2-4b4e-8a63-781d93359927' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc21c035-5368-4dec-ad52-9f5e022ec8c2' class='xr-var-data-in' type='checkbox'><label for='data-fc21c035-5368-4dec-ad52-9f5e022ec8c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Serial number of the float</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;6712                            &#x27;,\n",
        "       b&#x27;6712                            &#x27;,\n",
        "       b&#x27;6712                            &#x27;, ...,\n",
        "       b&#x27;6712                            &#x27;,\n",
        "       b&#x27;6712                            &#x27;,\n",
-       "       b&#x27;6712                            &#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FIRMWARE_VERSION</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b9065a06-c0da-45ce-8fe3-4dbfe7404df0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9065a06-c0da-45ce-8fe3-4dbfe7404df0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86f1cebe-40c5-412e-8fcd-6cc0e2ea8090' class='xr-var-data-in' type='checkbox'><label for='data-86f1cebe-40c5-412e-8fcd-6cc0e2ea8090' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Instrument firmware version</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;080913                          &#x27;,\n",
+       "       b&#x27;6712                            &#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FIRMWARE_VERSION</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8c94d8c3-e0a5-41c6-b822-be866a225688' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c94d8c3-e0a5-41c6-b822-be866a225688' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01520e17-6729-4b42-b541-c0e559b5f032' class='xr-var-data-in' type='checkbox'><label for='data-01520e17-6729-4b42-b541-c0e559b5f032' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Instrument firmware version</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;080913                          &#x27;,\n",
        "       b&#x27;080913                          &#x27;,\n",
        "       b&#x27;080913                          &#x27;, ...,\n",
        "       b&#x27;080913                          &#x27;,\n",
        "       b&#x27;080913                          &#x27;,\n",
-       "       b&#x27;080913                          &#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WMO_INST_TYPE</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1edc32cd-fd35-4784-be92-eacb231c241a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1edc32cd-fd35-4784-be92-eacb231c241a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44a5e74e-7857-4d20-bbdd-1ea0bef98089' class='xr-var-data-in' type='checkbox'><label for='data-44a5e74e-7857-4d20-bbdd-1ea0bef98089' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Coded instrument type</dd><dt><span>conventions :</span></dt><dd>Argo reference table 8</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;846 &#x27;, b&#x27;846 &#x27;, b&#x27;846 &#x27;, ..., b&#x27;846 &#x27;, b&#x27;846 &#x27;, b&#x27;846 &#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bbdd0f26-6fbf-4d02-8d3c-0576986b3dc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbdd0f26-6fbf-4d02-8d3c-0576986b3dc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e75b014-3d81-47a3-82f2-2e8d8748f7b0' class='xr-var-data-in' type='checkbox'><label for='data-5e75b014-3d81-47a3-82f2-2e8d8748f7b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Julian day (UTC) of the station relative to REFERENCE_DATE_TIME</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.0</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2014-04-07T22:33:04.000000000&#x27;, &#x27;2014-04-07T22:33:04.000000000&#x27;,\n",
+       "       b&#x27;080913                          &#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WMO_INST_TYPE</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7b14b845-ee4d-43f3-8490-0fce3c81849d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b14b845-ee4d-43f3-8490-0fce3c81849d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-daf28d83-c40b-487b-b65e-10255377223b' class='xr-var-data-in' type='checkbox'><label for='data-daf28d83-c40b-487b-b65e-10255377223b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Coded instrument type</dd><dt><span>conventions :</span></dt><dd>Argo reference table 8</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;846 &#x27;, b&#x27;846 &#x27;, b&#x27;846 &#x27;, ..., b&#x27;846 &#x27;, b&#x27;846 &#x27;, b&#x27;846 &#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7606d512-d0bd-4faa-b376-9ad8fa919212' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7606d512-d0bd-4faa-b376-9ad8fa919212' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5bf77ac4-f3c7-4389-b2e9-185d05f28d09' class='xr-var-data-in' type='checkbox'><label for='data-5bf77ac4-f3c7-4389-b2e9-185d05f28d09' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Julian day (UTC) of the station relative to REFERENCE_DATE_TIME</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.0</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2014-04-07T22:33:04.000000000&#x27;, &#x27;2014-04-07T22:33:04.000000000&#x27;,\n",
        "       &#x27;2014-04-18T05:11:55.000000256&#x27;, ..., &#x27;2018-11-15T06:29:00.000000000&#x27;,\n",
        "       &#x27;2018-11-15T06:29:00.000000000&#x27;, &#x27;2018-11-15T06:29:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_QC</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b1349ae9-b10b-43cd-8d41-c67d8d5dec02' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1349ae9-b10b-43cd-8d41-c67d8d5dec02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-339430ee-16d7-4ab4-a51e-17647fa0a7a1' class='xr-var-data-in' type='checkbox'><label for='data-339430ee-16d7-4ab4-a51e-17647fa0a7a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Quality on date and time</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, ..., b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_LOCATION</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-535e787c-ebab-4b78-9e1b-b37a3ae54777' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-535e787c-ebab-4b78-9e1b-b37a3ae54777' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca433915-2e7f-40a3-be6d-e5490483ed1b' class='xr-var-data-in' type='checkbox'><label for='data-ca433915-2e7f-40a3-be6d-e5490483ed1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Julian day (UTC) of the location relative to REFERENCE_DATE_TIME</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2014-04-07T23:03:10.000000000&#x27;, &#x27;2014-04-07T23:03:10.000000000&#x27;,\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_QC</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-91899ec8-541f-48dc-90ab-87788f7c17e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91899ec8-541f-48dc-90ab-87788f7c17e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d88f2b9-b205-4db9-a297-edf1f6504ed7' class='xr-var-data-in' type='checkbox'><label for='data-7d88f2b9-b205-4db9-a297-edf1f6504ed7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Quality on date and time</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, ..., b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_LOCATION</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8898c261-3753-4757-af6b-8da48876c3ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8898c261-3753-4757-af6b-8da48876c3ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-124dabef-d77e-4dcf-92e7-453d85c561a9' class='xr-var-data-in' type='checkbox'><label for='data-124dabef-d77e-4dcf-92e7-453d85c561a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Julian day (UTC) of the location relative to REFERENCE_DATE_TIME</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2014-04-07T23:03:10.000000000&#x27;, &#x27;2014-04-07T23:03:10.000000000&#x27;,\n",
        "       &#x27;2014-04-18T05:27:40.000000000&#x27;, ..., &#x27;2018-11-15T06:46:10.000000000&#x27;,\n",
        "       &#x27;2018-11-15T06:46:10.000000000&#x27;, &#x27;2018-11-15T06:46:10.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LATITUDE</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c35f8a96-7d6d-471b-a910-b1ff672a4a35' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c35f8a96-7d6d-471b-a910-b1ff672a4a35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42d8d521-f62f-4bb0-b699-55fa629a69b1' class='xr-var-data-in' type='checkbox'><label for='data-42d8d521-f62f-4bb0-b699-55fa629a69b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude of the station, best estimate</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-60.   , -60.   , -59.608, ..., -51.523, -51.523, -51.523])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LONGITUDE</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bc008ee1-61e3-41f1-9571-bb6341874192' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc008ee1-61e3-41f1-9571-bb6341874192' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf2eef76-722c-4276-ac93-1f5e211bdcc3' class='xr-var-data-in' type='checkbox'><label for='data-cf2eef76-722c-4276-ac93-1f5e211bdcc3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Longitude of the station, best estimate</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-149.928, -149.928, -148.997, ...,  -50.076,  -50.076,  -50.076])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>POSITION_QC</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-167af0d6-46b9-43bc-9a96-bd312826d7f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-167af0d6-46b9-43bc-9a96-bd312826d7f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9950074f-c619-40b8-a6af-89839379ac02' class='xr-var-data-in' type='checkbox'><label for='data-9950074f-c619-40b8-a6af-89839379ac02' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Quality on position (latitude and longitude)</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, ..., b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>POSITIONING_SYSTEM</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f153d63b-98d8-4ae1-8cb6-bcce5a660500' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f153d63b-98d8-4ae1-8cb6-bcce5a660500' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33c0d7aa-f4c5-4e07-b1a6-a5b0d0f8a785' class='xr-var-data-in' type='checkbox'><label for='data-33c0d7aa-f4c5-4e07-b1a6-a5b0d0f8a785' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Positioning system</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;GPS     &#x27;, b&#x27;GPS     &#x27;, b&#x27;GPS     &#x27;, ..., b&#x27;GPS     &#x27;, b&#x27;GPS     &#x27;,\n",
-       "       b&#x27;GPS     &#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PROFILE_PRES_QC</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f628bd32-2182-4e44-bb8d-82f7f6d5e349' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f628bd32-2182-4e44-bb8d-82f7f6d5e349' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcbac142-3950-4e27-87ac-4d9b09fe7346' class='xr-var-data-in' type='checkbox'><label for='data-fcbac142-3950-4e27-87ac-4d9b09fe7346' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Global quality flag of PRES profile</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2a</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, ..., b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PROFILE_TEMP_QC</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-04a88b6e-e0f2-48ef-9acc-42b12a042dd4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-04a88b6e-e0f2-48ef-9acc-42b12a042dd4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-042dd1f0-df79-4dc7-bb43-4b0a89c81625' class='xr-var-data-in' type='checkbox'><label for='data-042dd1f0-df79-4dc7-bb43-4b0a89c81625' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Global quality flag of TEMP profile</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2a</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;A&#x27;, nan, b&#x27;A&#x27;, ..., nan, b&#x27;A&#x27;, b&#x27;A&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PROFILE_PSAL_QC</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a2849a2f-39c4-4fc5-9cb5-569b11fc43c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2849a2f-39c4-4fc5-9cb5-569b11fc43c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33638680-2b49-4ef3-8eec-9ad95b543817' class='xr-var-data-in' type='checkbox'><label for='data-33638680-2b49-4ef3-8eec-9ad95b543817' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Global quality flag of PSAL profile</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2a</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;A&#x27;, nan, b&#x27;A&#x27;, ..., nan, b&#x27;A&#x27;, b&#x27;A&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PROFILE_DOXY_QC</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f4497227-2d27-4c5a-a151-504814cb54ea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4497227-2d27-4c5a-a151-504814cb54ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ff417a2-010a-4087-a326-16928c15fed9' class='xr-var-data-in' type='checkbox'><label for='data-9ff417a2-010a-4087-a326-16928c15fed9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Global quality flag of DOXY profile</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2a</dd></dl></div><div class='xr-var-data'><pre>array([nan, b&#x27;A&#x27;, nan, ..., b&#x27;A&#x27;, nan, nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PROFILE_CHLA_QC</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-849b2f3c-e5be-4ffa-b7bf-08a5f4041758' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-849b2f3c-e5be-4ffa-b7bf-08a5f4041758' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5b7ac99-a740-4cd0-afd4-f6dd20224cda' class='xr-var-data-in' type='checkbox'><label for='data-a5b7ac99-a740-4cd0-afd4-f6dd20224cda' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Global quality flag of CHLA profile</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2a</dd></dl></div><div class='xr-var-data'><pre>array([nan, b&#x27;A&#x27;, nan, ..., b&#x27;A&#x27;, nan, nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PROFILE_BBP700_QC</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-53b7dfd4-7ea8-4247-8be9-455d1da0f666' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53b7dfd4-7ea8-4247-8be9-455d1da0f666' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-151bc680-793b-4ae0-82e5-fd20b8a316b6' class='xr-var-data-in' type='checkbox'><label for='data-151bc680-793b-4ae0-82e5-fd20b8a316b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Global quality flag of BBP700 profile</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2a</dd></dl></div><div class='xr-var-data'><pre>array([nan, b&#x27;F&#x27;, nan, ..., b&#x27;F&#x27;, nan, nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PROFILE_PH_IN_SITU_TOTAL_QC</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-40f18461-5295-4ef7-b8ea-fb4673594d58' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40f18461-5295-4ef7-b8ea-fb4673594d58' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11e82750-fb83-4132-8c7c-2a77bbbb4390' class='xr-var-data-in' type='checkbox'><label for='data-11e82750-fb83-4132-8c7c-2a77bbbb4390' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Global quality flag of PH_IN_SITU_TOTAL profile</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2a</dd></dl></div><div class='xr-var-data'><pre>array([nan, b&#x27;B&#x27;, nan, ..., b&#x27;F&#x27;, nan, nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PROFILE_NITRATE_QC</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7f227730-17e2-4d92-8317-354acdc16eed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f227730-17e2-4d92-8317-354acdc16eed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb83b684-8075-4a97-bbd0-33881a61a0bc' class='xr-var-data-in' type='checkbox'><label for='data-bb83b684-8075-4a97-bbd0-33881a61a0bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Global quality flag of NITRATE profile</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2a</dd></dl></div><div class='xr-var-data'><pre>array([nan, b&#x27;A&#x27;, nan, ..., nan, nan, nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VERTICAL_SAMPLING_SCHEME</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b22dc5bc-6930-4240-afa5-b29b2c5347c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b22dc5bc-6930-4240-afa5-b29b2c5347c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f85c7c6-6c3d-49d2-848c-337fc36b518f' class='xr-var-data-in' type='checkbox'><label for='data-6f85c7c6-6c3d-49d2-848c-337fc36b518f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical sampling scheme</dd><dt><span>conventions :</span></dt><dd>Argo reference table 16</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;Primary sampling: mixed [deeper than nominal 985dbar: discrete; nominal 985dbar to surface: 2dbar-bin averaged]                                                                                                                                                 &#x27;,\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LATITUDE</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a17d1fa4-809d-4a3c-97fe-1e03513a7cfe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a17d1fa4-809d-4a3c-97fe-1e03513a7cfe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-537ba964-ab1d-48f1-9ab4-41dd62ee4a0c' class='xr-var-data-in' type='checkbox'><label for='data-537ba964-ab1d-48f1-9ab4-41dd62ee4a0c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude of the station, best estimate</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-60.   , -60.   , -59.608, ..., -51.523, -51.523, -51.523])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LONGITUDE</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-30adda94-a96e-4ba1-b41b-4349ba1eeda1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30adda94-a96e-4ba1-b41b-4349ba1eeda1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d7fcfc4-d340-4ed4-ae4a-8d8da7033ab2' class='xr-var-data-in' type='checkbox'><label for='data-9d7fcfc4-d340-4ed4-ae4a-8d8da7033ab2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Longitude of the station, best estimate</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-149.928, -149.928, -148.997, ...,  -50.076,  -50.076,  -50.076])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>POSITION_QC</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d2d7ee7c-6471-4e69-bc98-6cc333fdd534' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2d7ee7c-6471-4e69-bc98-6cc333fdd534' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0eff54c1-604a-4897-a251-eac435b541ee' class='xr-var-data-in' type='checkbox'><label for='data-0eff54c1-604a-4897-a251-eac435b541ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Quality on position (latitude and longitude)</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, ..., b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>POSITIONING_SYSTEM</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d555b087-c83f-4c3b-a8b0-65b57b3ad0cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d555b087-c83f-4c3b-a8b0-65b57b3ad0cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18226a8c-b5e1-411d-88cd-9ee28bfba7c6' class='xr-var-data-in' type='checkbox'><label for='data-18226a8c-b5e1-411d-88cd-9ee28bfba7c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Positioning system</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;GPS     &#x27;, b&#x27;GPS     &#x27;, b&#x27;GPS     &#x27;, ..., b&#x27;GPS     &#x27;, b&#x27;GPS     &#x27;,\n",
+       "       b&#x27;GPS     &#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PROFILE_PRES_QC</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-179079b1-6a1c-474a-bad9-884498b6fc34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-179079b1-6a1c-474a-bad9-884498b6fc34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-029f0b13-7ff6-4276-87a1-e35ae6dc9951' class='xr-var-data-in' type='checkbox'><label for='data-029f0b13-7ff6-4276-87a1-e35ae6dc9951' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Global quality flag of PRES profile</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2a</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, ..., b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PROFILE_TEMP_QC</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f3b038e8-3cad-4bd6-9c46-d81286ca7d04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f3b038e8-3cad-4bd6-9c46-d81286ca7d04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8062152c-7d9f-44db-9dcf-e47ab27497f8' class='xr-var-data-in' type='checkbox'><label for='data-8062152c-7d9f-44db-9dcf-e47ab27497f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Global quality flag of TEMP profile</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2a</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;A&#x27;, nan, b&#x27;A&#x27;, ..., nan, b&#x27;A&#x27;, b&#x27;A&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PROFILE_PSAL_QC</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d2037aa6-f111-456c-83e8-1d6a3a6dee8e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2037aa6-f111-456c-83e8-1d6a3a6dee8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-112e0fab-0d88-4af6-b538-d44a569dcd68' class='xr-var-data-in' type='checkbox'><label for='data-112e0fab-0d88-4af6-b538-d44a569dcd68' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Global quality flag of PSAL profile</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2a</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;A&#x27;, nan, b&#x27;A&#x27;, ..., nan, b&#x27;A&#x27;, b&#x27;A&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PROFILE_DOXY_QC</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-730476d4-05dc-4a80-b3cb-5123edc8b55e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-730476d4-05dc-4a80-b3cb-5123edc8b55e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18251183-51ed-4670-8403-8850500443bb' class='xr-var-data-in' type='checkbox'><label for='data-18251183-51ed-4670-8403-8850500443bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Global quality flag of DOXY profile</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2a</dd></dl></div><div class='xr-var-data'><pre>array([nan, b&#x27;A&#x27;, nan, ..., b&#x27;A&#x27;, nan, nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PROFILE_CHLA_QC</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fe1e0fa2-3b40-46e4-99e8-b7ccfa3282a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe1e0fa2-3b40-46e4-99e8-b7ccfa3282a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-488a9c82-87d2-4d28-a3e0-0d5eaa47ea6c' class='xr-var-data-in' type='checkbox'><label for='data-488a9c82-87d2-4d28-a3e0-0d5eaa47ea6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Global quality flag of CHLA profile</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2a</dd></dl></div><div class='xr-var-data'><pre>array([nan, b&#x27;A&#x27;, nan, ..., b&#x27;A&#x27;, nan, nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PROFILE_BBP700_QC</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-27e7d490-d325-4fb5-9e99-29cdcb6e614a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27e7d490-d325-4fb5-9e99-29cdcb6e614a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ae2ee5c-e070-43b8-a38a-0843ab5b1e94' class='xr-var-data-in' type='checkbox'><label for='data-3ae2ee5c-e070-43b8-a38a-0843ab5b1e94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Global quality flag of BBP700 profile</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2a</dd></dl></div><div class='xr-var-data'><pre>array([nan, b&#x27;F&#x27;, nan, ..., b&#x27;F&#x27;, nan, nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PROFILE_PH_IN_SITU_TOTAL_QC</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-76c9029c-d695-48ab-a97f-d46250a6fbfd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76c9029c-d695-48ab-a97f-d46250a6fbfd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e92e42c3-224d-4ed6-bb33-3384908ceed3' class='xr-var-data-in' type='checkbox'><label for='data-e92e42c3-224d-4ed6-bb33-3384908ceed3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Global quality flag of PH_IN_SITU_TOTAL profile</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2a</dd></dl></div><div class='xr-var-data'><pre>array([nan, b&#x27;B&#x27;, nan, ..., b&#x27;F&#x27;, nan, nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PROFILE_NITRATE_QC</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9495ba30-b8d0-4bce-b5dc-043ae9f120e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9495ba30-b8d0-4bce-b5dc-043ae9f120e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1716779-a235-412c-bf04-cdd42588f632' class='xr-var-data-in' type='checkbox'><label for='data-a1716779-a235-412c-bf04-cdd42588f632' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Global quality flag of NITRATE profile</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2a</dd></dl></div><div class='xr-var-data'><pre>array([nan, b&#x27;A&#x27;, nan, ..., nan, nan, nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VERTICAL_SAMPLING_SCHEME</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-78318483-0af6-416b-a39b-e93163616cb9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78318483-0af6-416b-a39b-e93163616cb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba74731e-72fd-4e4b-8bb0-3a5b5e08d20b' class='xr-var-data-in' type='checkbox'><label for='data-ba74731e-72fd-4e4b-8bb0-3a5b5e08d20b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical sampling scheme</dd><dt><span>conventions :</span></dt><dd>Argo reference table 16</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;Primary sampling: mixed [deeper than nominal 985dbar: discrete; nominal 985dbar to surface: 2dbar-bin averaged]                                                                                                                                                 &#x27;,\n",
        "       b&#x27;Secondary sampling: discrete []                                                                                                                                                                                                                                 &#x27;,\n",
        "       b&#x27;Primary sampling: mixed [deeper than nominal 985dbar: discrete; nominal 985dbar to surface: 2dbar-bin averaged]                                                                                                                                                 &#x27;,\n",
        "       ...,\n",
        "       b&#x27;Secondary sampling: discrete []                                                                                                                                                                                                                                 &#x27;,\n",
        "       b&#x27;Primary sampling: mixed [deep: discrete, shallow: continuous]                                                                                                                                                                                                   &#x27;,\n",
        "       b&#x27;Secondary sampling: discrete []                                                                                                                                                                                                                                 &#x27;],\n",
-       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CONFIG_MISSION_NUMBER</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-44340140-9aab-477a-ba8d-0a7ad0dad477' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44340140-9aab-477a-ba8d-0a7ad0dad477' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-958168db-b9f4-459a-899f-89bd814c4623' class='xr-var-data-in' type='checkbox'><label for='data-958168db-b9f4-459a-899f-89bd814c4623' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Unique number denoting the missions performed by the float</dd><dt><span>conventions :</span></dt><dd>1...N, 1 : first complete mission</dd></dl></div><div class='xr-var-data'><pre>array([  1.,   1.,   2., ..., 164., 164., 164.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRES</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-574df785-f1b1-493e-8b9f-911a02ab9aba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-574df785-f1b1-493e-8b9f-911a02ab9aba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-870ab75d-14c4-485c-a190-f49eaddad300' class='xr-var-data-in' type='checkbox'><label for='data-870ab75d-14c4-485c-a190-f49eaddad300' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea water pressure, equals 0 at sea-level</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd><dt><span>units :</span></dt><dd>decibar</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>12000.0</dd><dt><span>C_format :</span></dt><dd>%7.1f</dd><dt><span>FORTRAN_format :</span></dt><dd>F7.1</dd><dt><span>resolution :</span></dt><dd>0.1</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRES_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e3a01465-7e5b-4ff5-b635-8a8a4fe4461e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3a01465-7e5b-4ff5-b635-8a8a4fe4461e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e2791fc-c1dd-4ffb-be30-355c62fe2f25' class='xr-var-data-in' type='checkbox'><label for='data-3e2791fc-c1dd-4ffb-be30-355c62fe2f25' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRES_ADJUSTED</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9bd5d7e6-19ed-4824-a885-9d3e78f0d5e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9bd5d7e6-19ed-4824-a885-9d3e78f0d5e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0953d2d-059d-42f6-804e-ae5aaeeda62c' class='xr-var-data-in' type='checkbox'><label for='data-a0953d2d-059d-42f6-804e-ae5aaeeda62c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea water pressure, equals 0 at sea-level</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd><dt><span>units :</span></dt><dd>decibar</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>12000.0</dd><dt><span>C_format :</span></dt><dd>%7.1f</dd><dt><span>FORTRAN_format :</span></dt><dd>F7.1</dd><dt><span>resolution :</span></dt><dd>0.1</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRES_ADJUSTED_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-99516401-53ba-4686-9780-14686e37a3b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99516401-53ba-4686-9780-14686e37a3b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69dbb446-4b7d-49c0-9ec8-b039fad6d7b8' class='xr-var-data-in' type='checkbox'><label for='data-69dbb446-4b7d-49c0-9ec8-b039fad6d7b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRES_ADJUSTED_ERROR</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d39129d5-ecc1-4b29-941b-507ed7bcfc25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d39129d5-ecc1-4b29-941b-507ed7bcfc25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea269f9d-c9d1-47c8-bb64-0ed87afba221' class='xr-var-data-in' type='checkbox'><label for='data-ea269f9d-c9d1-47c8-bb64-0ed87afba221' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Contains the error on the adjusted values as determined by the delayed mode QC process</dd><dt><span>units :</span></dt><dd>decibar</dd><dt><span>C_format :</span></dt><dd>%7.1f</dd><dt><span>FORTRAN_format :</span></dt><dd>F7.1</dd><dt><span>resolution :</span></dt><dd>0.1</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TEMP</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9b11b98a-68ac-417f-be01-d2658f9d46a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b11b98a-68ac-417f-be01-d2658f9d46a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4cd0d880-b6c7-43ec-b9e0-3e1eb75d0a27' class='xr-var-data-in' type='checkbox'><label for='data-4cd0d880-b6c7-43ec-b9e0-3e1eb75d0a27' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea temperature in-situ ITS-90 scale</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd><dt><span>units :</span></dt><dd>degree_Celsius</dd><dt><span>valid_min :</span></dt><dd>-2.5</dd><dt><span>valid_max :</span></dt><dd>40.0</dd><dt><span>C_format :</span></dt><dd>%10.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F10.3</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TEMP_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d82016cc-87d1-4e27-9c6b-85f07f9a1c0e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d82016cc-87d1-4e27-9c6b-85f07f9a1c0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-302b451e-f67c-46a6-b221-3c10deb8afd6' class='xr-var-data-in' type='checkbox'><label for='data-302b451e-f67c-46a6-b221-3c10deb8afd6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TEMP_ADJUSTED</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a73d8d50-828b-441f-96ae-d272c7fa08fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a73d8d50-828b-441f-96ae-d272c7fa08fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d322b4de-9540-4711-9483-962d523beb27' class='xr-var-data-in' type='checkbox'><label for='data-d322b4de-9540-4711-9483-962d523beb27' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea temperature in-situ ITS-90 scale</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd><dt><span>units :</span></dt><dd>degree_Celsius</dd><dt><span>valid_min :</span></dt><dd>-2.5</dd><dt><span>valid_max :</span></dt><dd>40.0</dd><dt><span>C_format :</span></dt><dd>%10.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F10.3</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TEMP_ADJUSTED_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b060df26-ac26-4af6-871c-2b4999a2862a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b060df26-ac26-4af6-871c-2b4999a2862a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d83c4034-9d22-4d8a-8246-1ded34f7c396' class='xr-var-data-in' type='checkbox'><label for='data-d83c4034-9d22-4d8a-8246-1ded34f7c396' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TEMP_ADJUSTED_ERROR</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0f6d4a41-a656-4f5d-a1ff-9bea298fb48c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f6d4a41-a656-4f5d-a1ff-9bea298fb48c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6df10c2c-ead5-448f-8c57-516ad4b8dd2a' class='xr-var-data-in' type='checkbox'><label for='data-6df10c2c-ead5-448f-8c57-516ad4b8dd2a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Contains the error on the adjusted values as determined by the delayed mode QC process</dd><dt><span>units :</span></dt><dd>degree_Celsius</dd><dt><span>C_format :</span></dt><dd>%10.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F10.3</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PSAL</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-31b02a71-c0da-45fa-bdcc-3e8a9d1c77c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31b02a71-c0da-45fa-bdcc-3e8a9d1c77c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a46d7a9e-e2e6-46d8-aa82-b9e1c6fa841d' class='xr-var-data-in' type='checkbox'><label for='data-a46d7a9e-e2e6-46d8-aa82-b9e1c6fa841d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Practical salinity</dd><dt><span>standard_name :</span></dt><dd>sea_water_salinity</dd><dt><span>units :</span></dt><dd>psu</dd><dt><span>valid_min :</span></dt><dd>2.0</dd><dt><span>valid_max :</span></dt><dd>41.0</dd><dt><span>C_format :</span></dt><dd>%10.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F10.3</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PSAL_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-380a1088-b596-4f8c-881d-91c272368e37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-380a1088-b596-4f8c-881d-91c272368e37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18f7d829-a342-49d7-a85a-17bfc662ca15' class='xr-var-data-in' type='checkbox'><label for='data-18f7d829-a342-49d7-a85a-17bfc662ca15' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PSAL_ADJUSTED</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e8f59078-edaa-41d1-8320-9e1c0f7d8101' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8f59078-edaa-41d1-8320-9e1c0f7d8101' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18101bb1-56a2-43b0-b2dc-6e9ab7b2eb18' class='xr-var-data-in' type='checkbox'><label for='data-18101bb1-56a2-43b0-b2dc-6e9ab7b2eb18' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Practical salinity</dd><dt><span>standard_name :</span></dt><dd>sea_water_salinity</dd><dt><span>units :</span></dt><dd>psu</dd><dt><span>valid_min :</span></dt><dd>2.0</dd><dt><span>valid_max :</span></dt><dd>41.0</dd><dt><span>C_format :</span></dt><dd>%10.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F10.3</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PSAL_ADJUSTED_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3cd9463f-821e-4db1-8f9f-3a2a51a5cd8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3cd9463f-821e-4db1-8f9f-3a2a51a5cd8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb657dcb-2292-4d89-a695-7ab90ac59463' class='xr-var-data-in' type='checkbox'><label for='data-eb657dcb-2292-4d89-a695-7ab90ac59463' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PSAL_ADJUSTED_ERROR</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ccbed4a4-031f-49eb-8d79-ba462b81cdf2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ccbed4a4-031f-49eb-8d79-ba462b81cdf2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ebd29f3-cd8c-45c1-8bbd-1913e9105440' class='xr-var-data-in' type='checkbox'><label for='data-8ebd29f3-cd8c-45c1-8bbd-1913e9105440' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Contains the error on the adjusted values as determined by the delayed mode QC process</dd><dt><span>units :</span></dt><dd>psu</dd><dt><span>C_format :</span></dt><dd>%10.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F10.3</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DOXY</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6a3b58b2-7c3c-49de-a379-0ce29445a186' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a3b58b2-7c3c-49de-a379-0ce29445a186' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5cfb83a-8a26-4215-8712-9ca6fe6bd163' class='xr-var-data-in' type='checkbox'><label for='data-c5cfb83a-8a26-4215-8712-9ca6fe6bd163' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Dissolved oxygen</dd><dt><span>standard_name :</span></dt><dd>moles_of_oxygen_per_unit_mass_in_sea_water</dd><dt><span>units :</span></dt><dd>micromole/kg</dd><dt><span>valid_min :</span></dt><dd>-5.0</dd><dt><span>valid_max :</span></dt><dd>600.0</dd><dt><span>C_format :</span></dt><dd>%9.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F9.3f</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DOXY_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-58cdfaee-2080-4984-b3af-b2ac553bd0fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58cdfaee-2080-4984-b3af-b2ac553bd0fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99774c2f-e610-423a-966b-75d4caaddffe' class='xr-var-data-in' type='checkbox'><label for='data-99774c2f-e610-423a-966b-75d4caaddffe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DOXY_ADJUSTED</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cced69aa-db0a-4f18-a47f-2b7e5bc07703' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cced69aa-db0a-4f18-a47f-2b7e5bc07703' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e92a393f-5ccd-4276-b339-e2526fe91898' class='xr-var-data-in' type='checkbox'><label for='data-e92a393f-5ccd-4276-b339-e2526fe91898' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Dissolved oxygen</dd><dt><span>standard_name :</span></dt><dd>moles_of_oxygen_per_unit_mass_in_sea_water</dd><dt><span>units :</span></dt><dd>micromole/kg</dd><dt><span>valid_min :</span></dt><dd>-5.0</dd><dt><span>valid_max :</span></dt><dd>600.0</dd><dt><span>C_format :</span></dt><dd>%9.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F9.3f</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DOXY_ADJUSTED_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7c706b8d-b27d-4e81-b425-eab0da111b33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c706b8d-b27d-4e81-b425-eab0da111b33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bea2e855-d275-43b6-b4ce-e2751654dd06' class='xr-var-data-in' type='checkbox'><label for='data-bea2e855-d275-43b6-b4ce-e2751654dd06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DOXY_ADJUSTED_ERROR</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-618c0e6a-4a27-47a4-ad19-6733937cf25b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-618c0e6a-4a27-47a4-ad19-6733937cf25b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-182e8c81-4186-44e6-a784-f9827a31b435' class='xr-var-data-in' type='checkbox'><label for='data-182e8c81-4186-44e6-a784-f9827a31b435' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Contains the error on the adjusted values as determined by the delayed mode QC process</dd><dt><span>units :</span></dt><dd>micromole/kg</dd><dt><span>C_format :</span></dt><dd>%9.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F9.3f</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CHLA</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1dc7c90c-4688-42ed-a6ee-507b24d30cba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1dc7c90c-4688-42ed-a6ee-507b24d30cba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cdca245-f5e1-4e51-8d72-388737c0d5cd' class='xr-var-data-in' type='checkbox'><label for='data-6cdca245-f5e1-4e51-8d72-388737c0d5cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Chlorophyll-A</dd><dt><span>standard_name :</span></dt><dd>mass_concentration_of_chlorophyll_a_in_sea_water</dd><dt><span>units :</span></dt><dd>mg/m3</dd><dt><span>C_format :</span></dt><dd>%.4f</dd><dt><span>FORTRAN_format :</span></dt><dd>F.4f</dd><dt><span>resolution :</span></dt><dd>1e-04</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CHLA_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-960edcce-eadc-4313-bc22-872685302127' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-960edcce-eadc-4313-bc22-872685302127' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a52dc32-b947-4999-9e0b-545fb5e63e15' class='xr-var-data-in' type='checkbox'><label for='data-2a52dc32-b947-4999-9e0b-545fb5e63e15' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CHLA_ADJUSTED</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-097b5e9b-743b-4aae-9f40-109fdf8f7d43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-097b5e9b-743b-4aae-9f40-109fdf8f7d43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03336781-5b6b-4900-bfed-936b5e3db43b' class='xr-var-data-in' type='checkbox'><label for='data-03336781-5b6b-4900-bfed-936b5e3db43b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Chlorophyll-A</dd><dt><span>standard_name :</span></dt><dd>mass_concentration_of_chlorophyll_a_in_sea_water</dd><dt><span>units :</span></dt><dd>mg/m3</dd><dt><span>C_format :</span></dt><dd>%.4f</dd><dt><span>FORTRAN_format :</span></dt><dd>F.4f</dd><dt><span>resolution :</span></dt><dd>1e-04</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CHLA_ADJUSTED_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e13df576-9d16-4b56-a0d5-1333495bd219' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e13df576-9d16-4b56-a0d5-1333495bd219' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1223865-9532-4533-a505-39d6e44780f3' class='xr-var-data-in' type='checkbox'><label for='data-f1223865-9532-4533-a505-39d6e44780f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CHLA_ADJUSTED_ERROR</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bc9263a2-7f34-40de-b15d-93c5991c61f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc9263a2-7f34-40de-b15d-93c5991c61f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30e962b7-592d-48da-b59b-8578e62c1e4a' class='xr-var-data-in' type='checkbox'><label for='data-30e962b7-592d-48da-b59b-8578e62c1e4a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Contains the error on the adjusted values as determined by the delayed mode QC process</dd><dt><span>units :</span></dt><dd>mg/m3</dd><dt><span>C_format :</span></dt><dd>%.4f</dd><dt><span>FORTRAN_format :</span></dt><dd>F.4f</dd><dt><span>resolution :</span></dt><dd>1e-04</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BBP700</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6aa5c29d-c74c-4b9a-9fd9-6634eb0ae791' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6aa5c29d-c74c-4b9a-9fd9-6634eb0ae791' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86fe500e-3eb7-443b-a482-e76e98ba9a2d' class='xr-var-data-in' type='checkbox'><label for='data-86fe500e-3eb7-443b-a482-e76e98ba9a2d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Particle backscattering at 700 nanometers</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>C_format :</span></dt><dd>%.5f</dd><dt><span>FORTRAN_format :</span></dt><dd>F.5f</dd><dt><span>resolution :</span></dt><dd>1e-05</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BBP700_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-20388f6e-06c8-424c-8f30-76181062228b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20388f6e-06c8-424c-8f30-76181062228b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-886d17b6-c093-4743-a084-267225d04f24' class='xr-var-data-in' type='checkbox'><label for='data-886d17b6-c093-4743-a084-267225d04f24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BBP700_ADJUSTED</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e12d04d3-3fe3-431a-a4a5-020438f0ae04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e12d04d3-3fe3-431a-a4a5-020438f0ae04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61b989ea-251e-4324-a5fb-adf7c4df9ff1' class='xr-var-data-in' type='checkbox'><label for='data-61b989ea-251e-4324-a5fb-adf7c4df9ff1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Particle backscattering at 700 nanometers</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>C_format :</span></dt><dd>%.5f</dd><dt><span>FORTRAN_format :</span></dt><dd>F.5f</dd><dt><span>resolution :</span></dt><dd>1e-05</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BBP700_ADJUSTED_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4281e309-532c-4c8d-bf8b-a8c69217cf94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4281e309-532c-4c8d-bf8b-a8c69217cf94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4462184-ed1d-4be9-bbc7-debf5a3322e1' class='xr-var-data-in' type='checkbox'><label for='data-b4462184-ed1d-4be9-bbc7-debf5a3322e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BBP700_ADJUSTED_ERROR</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5b1e9b41-376d-449f-9c3a-8b8276dcd9d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b1e9b41-376d-449f-9c3a-8b8276dcd9d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfa1f995-7457-45f8-8009-38e17c336f19' class='xr-var-data-in' type='checkbox'><label for='data-dfa1f995-7457-45f8-8009-38e17c336f19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Contains the error on the adjusted values as determined by the delayed mode QC process</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>C_format :</span></dt><dd>%.5f</dd><dt><span>FORTRAN_format :</span></dt><dd>F.5f</dd><dt><span>resolution :</span></dt><dd>1e-05</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PH_IN_SITU_TOTAL</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d5041b49-0437-4f8c-9df5-58218529332a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5041b49-0437-4f8c-9df5-58218529332a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6096f70c-b4c2-43f6-baea-e70b1739e603' class='xr-var-data-in' type='checkbox'><label for='data-6096f70c-b4c2-43f6-baea-e70b1739e603' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pH</dd><dt><span>standard_name :</span></dt><dd>sea_water_ph_reported_on_total_scale</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>C_format :</span></dt><dd>%.4f</dd><dt><span>FORTRAN_format :</span></dt><dd>F.4f</dd><dt><span>resolution :</span></dt><dd>1e-04</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PH_IN_SITU_TOTAL_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-208e7b91-f0a9-44c0-96cf-8cf3df88bdf7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-208e7b91-f0a9-44c0-96cf-8cf3df88bdf7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b02a6837-93b1-43ec-8ef1-a2ecdc458b7d' class='xr-var-data-in' type='checkbox'><label for='data-b02a6837-93b1-43ec-8ef1-a2ecdc458b7d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PH_IN_SITU_TOTAL_ADJUSTED</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-46c309c0-9595-4a74-ac77-67c5fcdc7da1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46c309c0-9595-4a74-ac77-67c5fcdc7da1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72e78da2-1fbc-42bb-90df-25a2ab4a1984' class='xr-var-data-in' type='checkbox'><label for='data-72e78da2-1fbc-42bb-90df-25a2ab4a1984' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pH</dd><dt><span>standard_name :</span></dt><dd>sea_water_ph_reported_on_total_scale</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>C_format :</span></dt><dd>%.4f</dd><dt><span>FORTRAN_format :</span></dt><dd>F.4f</dd><dt><span>resolution :</span></dt><dd>1e-04</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PH_IN_SITU_TOTAL_ADJUSTED_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3d486270-027a-4cbd-90b5-636cee9657ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d486270-027a-4cbd-90b5-636cee9657ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4403ba31-a9fe-4f80-ad2c-716f70c2aad3' class='xr-var-data-in' type='checkbox'><label for='data-4403ba31-a9fe-4f80-ad2c-716f70c2aad3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PH_IN_SITU_TOTAL_ADJUSTED_ERROR</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0a9a365f-ef39-42cc-b2ab-d401d0ab0e6c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a9a365f-ef39-42cc-b2ab-d401d0ab0e6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-452e2786-5aed-4549-9494-0cba59e58a7d' class='xr-var-data-in' type='checkbox'><label for='data-452e2786-5aed-4549-9494-0cba59e58a7d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Contains the error on the adjusted values as determined by the delayed mode QC process</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>C_format :</span></dt><dd>%.4f</dd><dt><span>FORTRAN_format :</span></dt><dd>F.4f</dd><dt><span>resolution :</span></dt><dd>1e-04</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NITRATE</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b161cdec-8431-4e3f-880c-0b3d0531ab8c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b161cdec-8431-4e3f-880c-0b3d0531ab8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d428020-df41-4f5d-8bbd-360f20a6ddd8' class='xr-var-data-in' type='checkbox'><label for='data-5d428020-df41-4f5d-8bbd-360f20a6ddd8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Nitrate</dd><dt><span>standard_name :</span></dt><dd>moles_of_nitrate_per_unit_mass_in_sea_water</dd><dt><span>units :</span></dt><dd>micromole/kg</dd><dt><span>C_format :</span></dt><dd>%.2f</dd><dt><span>FORTRAN_format :</span></dt><dd>F.2f</dd><dt><span>resolution :</span></dt><dd>0.01</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NITRATE_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9bb5a560-799d-49ae-8cd5-aceef14b622f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9bb5a560-799d-49ae-8cd5-aceef14b622f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a6fcf27-7055-46c4-a8f6-9966a11ab686' class='xr-var-data-in' type='checkbox'><label for='data-3a6fcf27-7055-46c4-a8f6-9966a11ab686' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NITRATE_ADJUSTED</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-14370c58-9af6-4db0-a6a8-356b1b6af8c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14370c58-9af6-4db0-a6a8-356b1b6af8c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ab6d5fa-22a5-4239-bc7e-577fa0d2fb75' class='xr-var-data-in' type='checkbox'><label for='data-4ab6d5fa-22a5-4239-bc7e-577fa0d2fb75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Nitrate</dd><dt><span>standard_name :</span></dt><dd>moles_of_nitrate_per_unit_mass_in_sea_water</dd><dt><span>units :</span></dt><dd>micromole/kg</dd><dt><span>C_format :</span></dt><dd>%.2f</dd><dt><span>FORTRAN_format :</span></dt><dd>F.2f</dd><dt><span>resolution :</span></dt><dd>0.01</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NITRATE_ADJUSTED_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bee18515-2638-481a-8cea-f2815b42ccaa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bee18515-2638-481a-8cea-f2815b42ccaa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d2862d5-76fc-40be-a075-2d8093f9fd0f' class='xr-var-data-in' type='checkbox'><label for='data-3d2862d5-76fc-40be-a075-2d8093f9fd0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NITRATE_ADJUSTED_ERROR</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-101e69d9-e55a-4886-9422-c749d1d723a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-101e69d9-e55a-4886-9422-c749d1d723a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2793e7a4-7f06-4680-a3e8-68bb3d7a1433' class='xr-var-data-in' type='checkbox'><label for='data-2793e7a4-7f06-4680-a3e8-68bb3d7a1433' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Contains the error on the adjusted values as determined by the delayed mode QC process</dd><dt><span>units :</span></dt><dd>micromole/kg</dd><dt><span>C_format :</span></dt><dd>%.2f</dd><dt><span>FORTRAN_format :</span></dt><dd>F.2f</dd><dt><span>resolution :</span></dt><dd>0.01</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PARAMETER</span></div><div class='xr-var-dims'>(N_PROF, N_CALIB, N_PARAM)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4fb697dc-1b61-4f24-8b29-a67293223782' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fb697dc-1b61-4f24-8b29-a67293223782' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfcc3dd6-fe98-4a88-8b94-c252e1b51862' class='xr-var-data-in' type='checkbox'><label for='data-bfcc3dd6-fe98-4a88-8b94-c252e1b51862' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>List of parameters with calibration information</dd><dt><span>conventions :</span></dt><dd>Argo reference table 3</dd></dl></div><div class='xr-var-data'><pre>array([[[b&#x27;PRES                                                            &#x27;,\n",
+       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CONFIG_MISSION_NUMBER</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-43fed5d2-2799-48c7-9db4-55014c985beb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-43fed5d2-2799-48c7-9db4-55014c985beb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39590427-c23d-4578-9e4e-bf867e50d327' class='xr-var-data-in' type='checkbox'><label for='data-39590427-c23d-4578-9e4e-bf867e50d327' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Unique number denoting the missions performed by the float</dd><dt><span>conventions :</span></dt><dd>1...N, 1 : first complete mission</dd></dl></div><div class='xr-var-data'><pre>array([  1.,   1.,   2., ..., 164., 164., 164.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRES</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-56ec33c2-581a-475e-b4f2-642cf047713b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56ec33c2-581a-475e-b4f2-642cf047713b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e54068ad-d40b-4d55-a01f-769148d35f30' class='xr-var-data-in' type='checkbox'><label for='data-e54068ad-d40b-4d55-a01f-769148d35f30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea water pressure, equals 0 at sea-level</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd><dt><span>units :</span></dt><dd>decibar</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>12000.0</dd><dt><span>C_format :</span></dt><dd>%7.1f</dd><dt><span>FORTRAN_format :</span></dt><dd>F7.1</dd><dt><span>resolution :</span></dt><dd>0.1</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRES_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3fc6ccc9-dafb-4edf-ac3c-f3c567fdd24d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fc6ccc9-dafb-4edf-ac3c-f3c567fdd24d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45231f66-cae3-4fa4-836b-4fed169a4f7d' class='xr-var-data-in' type='checkbox'><label for='data-45231f66-cae3-4fa4-836b-4fed169a4f7d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRES_ADJUSTED</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a3031d7c-6034-41f1-a123-9470f569b6b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3031d7c-6034-41f1-a123-9470f569b6b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73f0a8c2-3d60-4e8a-8cf7-2c6b9db93c87' class='xr-var-data-in' type='checkbox'><label for='data-73f0a8c2-3d60-4e8a-8cf7-2c6b9db93c87' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea water pressure, equals 0 at sea-level</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd><dt><span>units :</span></dt><dd>decibar</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>12000.0</dd><dt><span>C_format :</span></dt><dd>%7.1f</dd><dt><span>FORTRAN_format :</span></dt><dd>F7.1</dd><dt><span>resolution :</span></dt><dd>0.1</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRES_ADJUSTED_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4c26de01-dad4-473b-9355-cc9f09f7cd2c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c26de01-dad4-473b-9355-cc9f09f7cd2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94e474ca-053a-4d5b-a1af-c861f1d29f38' class='xr-var-data-in' type='checkbox'><label for='data-94e474ca-053a-4d5b-a1af-c861f1d29f38' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRES_ADJUSTED_ERROR</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f9f36ca9-d89e-47a3-9067-0c4662bd5863' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9f36ca9-d89e-47a3-9067-0c4662bd5863' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7ee8d49-51a2-4f6a-ade1-e3a3c40234f7' class='xr-var-data-in' type='checkbox'><label for='data-a7ee8d49-51a2-4f6a-ade1-e3a3c40234f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Contains the error on the adjusted values as determined by the delayed mode QC process</dd><dt><span>units :</span></dt><dd>decibar</dd><dt><span>C_format :</span></dt><dd>%7.1f</dd><dt><span>FORTRAN_format :</span></dt><dd>F7.1</dd><dt><span>resolution :</span></dt><dd>0.1</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TEMP</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-62edc222-04e2-4657-809e-27ec212006b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62edc222-04e2-4657-809e-27ec212006b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c05e8ce8-ef44-44fd-83b0-dfcd782e8982' class='xr-var-data-in' type='checkbox'><label for='data-c05e8ce8-ef44-44fd-83b0-dfcd782e8982' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea temperature in-situ ITS-90 scale</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd><dt><span>units :</span></dt><dd>degree_Celsius</dd><dt><span>valid_min :</span></dt><dd>-2.5</dd><dt><span>valid_max :</span></dt><dd>40.0</dd><dt><span>C_format :</span></dt><dd>%10.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F10.3</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TEMP_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1a6f0ae5-66b6-48a8-8719-4e83648416b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1a6f0ae5-66b6-48a8-8719-4e83648416b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4696f8b4-de91-46ed-b339-be30a080f89c' class='xr-var-data-in' type='checkbox'><label for='data-4696f8b4-de91-46ed-b339-be30a080f89c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TEMP_ADJUSTED</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c1e3cd91-5465-4cb0-915f-7371850795cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1e3cd91-5465-4cb0-915f-7371850795cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6463bba3-27f1-4c1e-98a8-eeb827829477' class='xr-var-data-in' type='checkbox'><label for='data-6463bba3-27f1-4c1e-98a8-eeb827829477' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea temperature in-situ ITS-90 scale</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd><dt><span>units :</span></dt><dd>degree_Celsius</dd><dt><span>valid_min :</span></dt><dd>-2.5</dd><dt><span>valid_max :</span></dt><dd>40.0</dd><dt><span>C_format :</span></dt><dd>%10.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F10.3</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TEMP_ADJUSTED_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d3ff2540-09c2-44ff-a639-141d6bd107af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3ff2540-09c2-44ff-a639-141d6bd107af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d97d572-2317-40c4-a958-6ca46cabb3cf' class='xr-var-data-in' type='checkbox'><label for='data-8d97d572-2317-40c4-a958-6ca46cabb3cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TEMP_ADJUSTED_ERROR</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-906e2a77-1cde-45b1-9276-e58891a2cac0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-906e2a77-1cde-45b1-9276-e58891a2cac0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-991cf06e-7794-49ba-98a0-5d4a370b6499' class='xr-var-data-in' type='checkbox'><label for='data-991cf06e-7794-49ba-98a0-5d4a370b6499' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Contains the error on the adjusted values as determined by the delayed mode QC process</dd><dt><span>units :</span></dt><dd>degree_Celsius</dd><dt><span>C_format :</span></dt><dd>%10.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F10.3</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PSAL</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-04f730ec-3589-40f3-aa0d-ebfefc9fd89d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-04f730ec-3589-40f3-aa0d-ebfefc9fd89d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12120da2-4583-49d9-8547-54b0a96cf72f' class='xr-var-data-in' type='checkbox'><label for='data-12120da2-4583-49d9-8547-54b0a96cf72f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Practical salinity</dd><dt><span>standard_name :</span></dt><dd>sea_water_salinity</dd><dt><span>units :</span></dt><dd>psu</dd><dt><span>valid_min :</span></dt><dd>2.0</dd><dt><span>valid_max :</span></dt><dd>41.0</dd><dt><span>C_format :</span></dt><dd>%10.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F10.3</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PSAL_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-099ee146-cf22-4b10-8e5d-cb9b3f2c4d19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-099ee146-cf22-4b10-8e5d-cb9b3f2c4d19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ac6eff7-61df-4ef4-8e60-c149c89a81c6' class='xr-var-data-in' type='checkbox'><label for='data-2ac6eff7-61df-4ef4-8e60-c149c89a81c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PSAL_ADJUSTED</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5aa249b7-e82b-4e5d-828b-c5e2804c7cb1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5aa249b7-e82b-4e5d-828b-c5e2804c7cb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e755aee8-af4b-49d3-bb62-5129750d67cf' class='xr-var-data-in' type='checkbox'><label for='data-e755aee8-af4b-49d3-bb62-5129750d67cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Practical salinity</dd><dt><span>standard_name :</span></dt><dd>sea_water_salinity</dd><dt><span>units :</span></dt><dd>psu</dd><dt><span>valid_min :</span></dt><dd>2.0</dd><dt><span>valid_max :</span></dt><dd>41.0</dd><dt><span>C_format :</span></dt><dd>%10.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F10.3</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PSAL_ADJUSTED_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-becc8dba-7ff7-45b0-a9c6-0f207cfdb551' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-becc8dba-7ff7-45b0-a9c6-0f207cfdb551' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d12e1a2-10b0-40c7-8ca5-e392cfdce17e' class='xr-var-data-in' type='checkbox'><label for='data-4d12e1a2-10b0-40c7-8ca5-e392cfdce17e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PSAL_ADJUSTED_ERROR</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-afbe95b6-df05-4f75-ab4b-4f00a0977339' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-afbe95b6-df05-4f75-ab4b-4f00a0977339' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37fdf4c4-ab89-4a44-908c-5faf5ded008e' class='xr-var-data-in' type='checkbox'><label for='data-37fdf4c4-ab89-4a44-908c-5faf5ded008e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Contains the error on the adjusted values as determined by the delayed mode QC process</dd><dt><span>units :</span></dt><dd>psu</dd><dt><span>C_format :</span></dt><dd>%10.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F10.3</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DOXY</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ce10b29e-469a-4a1f-84b0-3b6d7a6d3358' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce10b29e-469a-4a1f-84b0-3b6d7a6d3358' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ac881d6-b79b-4142-8fcd-e435c5cf1a9b' class='xr-var-data-in' type='checkbox'><label for='data-9ac881d6-b79b-4142-8fcd-e435c5cf1a9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Dissolved oxygen</dd><dt><span>standard_name :</span></dt><dd>moles_of_oxygen_per_unit_mass_in_sea_water</dd><dt><span>units :</span></dt><dd>micromole/kg</dd><dt><span>valid_min :</span></dt><dd>-5.0</dd><dt><span>valid_max :</span></dt><dd>600.0</dd><dt><span>C_format :</span></dt><dd>%9.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F9.3f</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DOXY_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-40a32155-ede2-414c-802a-089d902d2230' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40a32155-ede2-414c-802a-089d902d2230' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af5edf5c-e18a-41e5-afa4-9b3f86a6331c' class='xr-var-data-in' type='checkbox'><label for='data-af5edf5c-e18a-41e5-afa4-9b3f86a6331c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DOXY_ADJUSTED</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8d554459-1762-4720-9c18-beaa2ac68551' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d554459-1762-4720-9c18-beaa2ac68551' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-189f6446-e12e-4000-a9d0-95b3a3dcb2a1' class='xr-var-data-in' type='checkbox'><label for='data-189f6446-e12e-4000-a9d0-95b3a3dcb2a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Dissolved oxygen</dd><dt><span>standard_name :</span></dt><dd>moles_of_oxygen_per_unit_mass_in_sea_water</dd><dt><span>units :</span></dt><dd>micromole/kg</dd><dt><span>valid_min :</span></dt><dd>-5.0</dd><dt><span>valid_max :</span></dt><dd>600.0</dd><dt><span>C_format :</span></dt><dd>%9.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F9.3f</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DOXY_ADJUSTED_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6fa30243-5ff6-4c2f-a7f8-b64c596fcb8f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6fa30243-5ff6-4c2f-a7f8-b64c596fcb8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04a8a8dd-233b-4038-ae86-0bf4798667be' class='xr-var-data-in' type='checkbox'><label for='data-04a8a8dd-233b-4038-ae86-0bf4798667be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DOXY_ADJUSTED_ERROR</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fb013772-18a1-4fe4-a10b-1090fdff9767' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb013772-18a1-4fe4-a10b-1090fdff9767' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6466ad9a-6a04-4f8f-b28e-b0842cd629b6' class='xr-var-data-in' type='checkbox'><label for='data-6466ad9a-6a04-4f8f-b28e-b0842cd629b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Contains the error on the adjusted values as determined by the delayed mode QC process</dd><dt><span>units :</span></dt><dd>micromole/kg</dd><dt><span>C_format :</span></dt><dd>%9.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F9.3f</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CHLA</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-84ae205b-a74c-4d6e-bca0-24fb12b36aef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84ae205b-a74c-4d6e-bca0-24fb12b36aef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a66b2be6-e43a-4d34-a965-f23be7d53c21' class='xr-var-data-in' type='checkbox'><label for='data-a66b2be6-e43a-4d34-a965-f23be7d53c21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Chlorophyll-A</dd><dt><span>standard_name :</span></dt><dd>mass_concentration_of_chlorophyll_a_in_sea_water</dd><dt><span>units :</span></dt><dd>mg/m3</dd><dt><span>C_format :</span></dt><dd>%.4f</dd><dt><span>FORTRAN_format :</span></dt><dd>F.4f</dd><dt><span>resolution :</span></dt><dd>1e-04</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CHLA_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-002df288-b356-4ab4-9598-d0780dd72a5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-002df288-b356-4ab4-9598-d0780dd72a5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b8e63a8-bfe9-4aba-b940-9670d47a933c' class='xr-var-data-in' type='checkbox'><label for='data-2b8e63a8-bfe9-4aba-b940-9670d47a933c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CHLA_ADJUSTED</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-aae6d30a-9496-499d-92d6-4333e850c733' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aae6d30a-9496-499d-92d6-4333e850c733' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e343c8de-8f7e-436c-9b09-70a38b6641a0' class='xr-var-data-in' type='checkbox'><label for='data-e343c8de-8f7e-436c-9b09-70a38b6641a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Chlorophyll-A</dd><dt><span>standard_name :</span></dt><dd>mass_concentration_of_chlorophyll_a_in_sea_water</dd><dt><span>units :</span></dt><dd>mg/m3</dd><dt><span>C_format :</span></dt><dd>%.4f</dd><dt><span>FORTRAN_format :</span></dt><dd>F.4f</dd><dt><span>resolution :</span></dt><dd>1e-04</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CHLA_ADJUSTED_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-24f2af60-0ba1-47a0-90f1-0eaa11f8d029' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24f2af60-0ba1-47a0-90f1-0eaa11f8d029' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8c640b7-2718-4904-8948-c5de9949f40f' class='xr-var-data-in' type='checkbox'><label for='data-a8c640b7-2718-4904-8948-c5de9949f40f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CHLA_ADJUSTED_ERROR</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-30fe3870-1fd8-446a-bf97-766c2a960ecf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30fe3870-1fd8-446a-bf97-766c2a960ecf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebdd76d3-ca5e-487e-8a28-3235e84a88eb' class='xr-var-data-in' type='checkbox'><label for='data-ebdd76d3-ca5e-487e-8a28-3235e84a88eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Contains the error on the adjusted values as determined by the delayed mode QC process</dd><dt><span>units :</span></dt><dd>mg/m3</dd><dt><span>C_format :</span></dt><dd>%.4f</dd><dt><span>FORTRAN_format :</span></dt><dd>F.4f</dd><dt><span>resolution :</span></dt><dd>1e-04</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BBP700</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-85f22f00-d232-478d-bdce-eb33e231d93c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85f22f00-d232-478d-bdce-eb33e231d93c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20c19e21-7c88-4174-ab5e-e543bddd1f60' class='xr-var-data-in' type='checkbox'><label for='data-20c19e21-7c88-4174-ab5e-e543bddd1f60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Particle backscattering at 700 nanometers</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>C_format :</span></dt><dd>%.5f</dd><dt><span>FORTRAN_format :</span></dt><dd>F.5f</dd><dt><span>resolution :</span></dt><dd>1e-05</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BBP700_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f93d4ac3-7f1c-40c0-a32a-6fb68f1dcc68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f93d4ac3-7f1c-40c0-a32a-6fb68f1dcc68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce7e1601-1704-4a92-85cb-9d0d5cf025cd' class='xr-var-data-in' type='checkbox'><label for='data-ce7e1601-1704-4a92-85cb-9d0d5cf025cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BBP700_ADJUSTED</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a03b4716-75d0-4760-ab16-dec8c9d38383' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a03b4716-75d0-4760-ab16-dec8c9d38383' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47b34d27-2bfc-42e0-be30-94dceb5de524' class='xr-var-data-in' type='checkbox'><label for='data-47b34d27-2bfc-42e0-be30-94dceb5de524' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Particle backscattering at 700 nanometers</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>C_format :</span></dt><dd>%.5f</dd><dt><span>FORTRAN_format :</span></dt><dd>F.5f</dd><dt><span>resolution :</span></dt><dd>1e-05</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BBP700_ADJUSTED_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8c2ae4f5-e7ef-432d-96e6-277b5b0120ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c2ae4f5-e7ef-432d-96e6-277b5b0120ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48eaea6e-77ef-46d5-aaa2-7b9c85e3a6ff' class='xr-var-data-in' type='checkbox'><label for='data-48eaea6e-77ef-46d5-aaa2-7b9c85e3a6ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BBP700_ADJUSTED_ERROR</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3cd618b9-727f-48b7-a085-bf78bc3e2f4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3cd618b9-727f-48b7-a085-bf78bc3e2f4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90ab7c8d-5649-4bd4-ba47-029396fce616' class='xr-var-data-in' type='checkbox'><label for='data-90ab7c8d-5649-4bd4-ba47-029396fce616' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Contains the error on the adjusted values as determined by the delayed mode QC process</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>C_format :</span></dt><dd>%.5f</dd><dt><span>FORTRAN_format :</span></dt><dd>F.5f</dd><dt><span>resolution :</span></dt><dd>1e-05</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PH_IN_SITU_TOTAL</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-878e98a6-24c3-4e79-8539-6d53c5717316' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-878e98a6-24c3-4e79-8539-6d53c5717316' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad455b95-b112-420d-b07e-ec83395601de' class='xr-var-data-in' type='checkbox'><label for='data-ad455b95-b112-420d-b07e-ec83395601de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pH</dd><dt><span>standard_name :</span></dt><dd>sea_water_ph_reported_on_total_scale</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>C_format :</span></dt><dd>%.4f</dd><dt><span>FORTRAN_format :</span></dt><dd>F.4f</dd><dt><span>resolution :</span></dt><dd>1e-04</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PH_IN_SITU_TOTAL_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3c075b8e-1c29-40f0-be04-1fe560a6b3f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c075b8e-1c29-40f0-be04-1fe560a6b3f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54a9af51-c03b-4736-ab82-60943b30e0b0' class='xr-var-data-in' type='checkbox'><label for='data-54a9af51-c03b-4736-ab82-60943b30e0b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PH_IN_SITU_TOTAL_ADJUSTED</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8954437d-97b6-475e-bc99-6e8d9f1183b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8954437d-97b6-475e-bc99-6e8d9f1183b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7e90b96-e763-4a4d-9898-99f8ae672109' class='xr-var-data-in' type='checkbox'><label for='data-b7e90b96-e763-4a4d-9898-99f8ae672109' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pH</dd><dt><span>standard_name :</span></dt><dd>sea_water_ph_reported_on_total_scale</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>C_format :</span></dt><dd>%.4f</dd><dt><span>FORTRAN_format :</span></dt><dd>F.4f</dd><dt><span>resolution :</span></dt><dd>1e-04</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PH_IN_SITU_TOTAL_ADJUSTED_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ad237a7e-ef07-4ae3-9058-e37b33142c4d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad237a7e-ef07-4ae3-9058-e37b33142c4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-798ff35d-6426-4f3b-835b-8b1aeaf4189e' class='xr-var-data-in' type='checkbox'><label for='data-798ff35d-6426-4f3b-835b-8b1aeaf4189e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PH_IN_SITU_TOTAL_ADJUSTED_ERROR</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-84404c7d-bde8-490b-9677-552447fcb415' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84404c7d-bde8-490b-9677-552447fcb415' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09293812-0c2c-4ab5-a038-8d17a668ebe4' class='xr-var-data-in' type='checkbox'><label for='data-09293812-0c2c-4ab5-a038-8d17a668ebe4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Contains the error on the adjusted values as determined by the delayed mode QC process</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>C_format :</span></dt><dd>%.4f</dd><dt><span>FORTRAN_format :</span></dt><dd>F.4f</dd><dt><span>resolution :</span></dt><dd>1e-04</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NITRATE</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a65fbef2-d4ca-45ca-b2f9-297734008fc2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a65fbef2-d4ca-45ca-b2f9-297734008fc2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-273b5401-7731-436d-b4eb-24487542a1f1' class='xr-var-data-in' type='checkbox'><label for='data-273b5401-7731-436d-b4eb-24487542a1f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Nitrate</dd><dt><span>standard_name :</span></dt><dd>moles_of_nitrate_per_unit_mass_in_sea_water</dd><dt><span>units :</span></dt><dd>micromole/kg</dd><dt><span>C_format :</span></dt><dd>%.2f</dd><dt><span>FORTRAN_format :</span></dt><dd>F.2f</dd><dt><span>resolution :</span></dt><dd>0.01</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NITRATE_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a747b4b5-1547-428b-b317-359dc17bffd1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a747b4b5-1547-428b-b317-359dc17bffd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2694271c-efec-4384-b83f-7f333bcfb572' class='xr-var-data-in' type='checkbox'><label for='data-2694271c-efec-4384-b83f-7f333bcfb572' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NITRATE_ADJUSTED</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-91a99f02-b823-4575-b6f7-9b364bfb1107' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91a99f02-b823-4575-b6f7-9b364bfb1107' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4aa969c-6451-4121-8fe1-5cc098fa46e2' class='xr-var-data-in' type='checkbox'><label for='data-c4aa969c-6451-4121-8fe1-5cc098fa46e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Nitrate</dd><dt><span>standard_name :</span></dt><dd>moles_of_nitrate_per_unit_mass_in_sea_water</dd><dt><span>units :</span></dt><dd>micromole/kg</dd><dt><span>C_format :</span></dt><dd>%.2f</dd><dt><span>FORTRAN_format :</span></dt><dd>F.2f</dd><dt><span>resolution :</span></dt><dd>0.01</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NITRATE_ADJUSTED_QC</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7eb74f49-79b8-4772-adfa-3c1e1c7c1cdf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7eb74f49-79b8-4772-adfa-3c1e1c7c1cdf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ce2eebb-d8a7-4d5d-86a6-960562fded25' class='xr-var-data-in' type='checkbox'><label for='data-6ce2eebb-d8a7-4d5d-86a6-960562fded25' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NITRATE_ADJUSTED_ERROR</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3217f1e5-f0e8-4bfe-b2fb-2fc534ffd6c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3217f1e5-f0e8-4bfe-b2fb-2fc534ffd6c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4467cb83-0815-46f9-a7cf-4a17dc320996' class='xr-var-data-in' type='checkbox'><label for='data-4467cb83-0815-46f9-a7cf-4a17dc320996' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Contains the error on the adjusted values as determined by the delayed mode QC process</dd><dt><span>units :</span></dt><dd>micromole/kg</dd><dt><span>C_format :</span></dt><dd>%.2f</dd><dt><span>FORTRAN_format :</span></dt><dd>F.2f</dd><dt><span>resolution :</span></dt><dd>0.01</dd></dl></div><div class='xr-var-data'><pre>[197806 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PARAMETER</span></div><div class='xr-var-dims'>(N_PROF, N_CALIB, N_PARAM)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-353c08ab-8896-41ba-81b5-cce33fbac38e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-353c08ab-8896-41ba-81b5-cce33fbac38e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c760c340-f6c1-4cd7-a8f6-a3e992a68301' class='xr-var-data-in' type='checkbox'><label for='data-c760c340-f6c1-4cd7-a8f6-a3e992a68301' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>List of parameters with calibration information</dd><dt><span>conventions :</span></dt><dd>Argo reference table 3</dd></dl></div><div class='xr-var-data'><pre>array([[[b&#x27;PRES                                                            &#x27;,\n",
        "         b&#x27;TEMP                                                            &#x27;,\n",
        "         ...,\n",
        "         b&#x27;                                                                &#x27;,\n",
@@ -667,7 +669,7 @@
        "         ...,\n",
        "         b&#x27;                                                                &#x27;,\n",
        "         b&#x27;                                                                &#x27;]]],\n",
-       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SCIENTIFIC_CALIB_EQUATION</span></div><div class='xr-var-dims'>(N_PROF, N_CALIB, N_PARAM)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dd82daf7-cf91-4f30-9fe9-869d61fa03c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd82daf7-cf91-4f30-9fe9-869d61fa03c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5009b5cf-70c0-46ed-830b-feff9744e2f3' class='xr-var-data-in' type='checkbox'><label for='data-5009b5cf-70c0-46ed-830b-feff9744e2f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Calibration equation for this parameter</dd></dl></div><div class='xr-var-data'><pre>array([[[b&#x27;PRES_ADJUSTED = PRES - dP                                                                                                                                                                                                                                       &#x27;,\n",
+       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SCIENTIFIC_CALIB_EQUATION</span></div><div class='xr-var-dims'>(N_PROF, N_CALIB, N_PARAM)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6224e570-b31a-445c-8f39-feaad434ad9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6224e570-b31a-445c-8f39-feaad434ad9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a4399d5-001f-4659-a427-26c19001c5ba' class='xr-var-data-in' type='checkbox'><label for='data-9a4399d5-001f-4659-a427-26c19001c5ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Calibration equation for this parameter</dd></dl></div><div class='xr-var-data'><pre>array([[[b&#x27;PRES_ADJUSTED = PRES - dP                                                                                                                                                                                                                                       &#x27;,\n",
        "         b&#x27;none                                                                                                                                                                                                                                                            &#x27;,\n",
        "         ...,\n",
        "         b&#x27;                                                                                                                                                                                                                                                                &#x27;,\n",
@@ -692,7 +694,7 @@
        "         ...,\n",
        "         b&#x27;                                                                                                                                                                                                                                                                &#x27;,\n",
        "         b&#x27;                                                                                                                                                                                                                                                                &#x27;]]],\n",
-       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SCIENTIFIC_CALIB_COEFFICIENT</span></div><div class='xr-var-dims'>(N_PROF, N_CALIB, N_PARAM)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4842c224-8152-4532-b261-6573e917e880' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4842c224-8152-4532-b261-6573e917e880' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32f932c8-a8a1-48a3-a6a7-ef0c10ed399f' class='xr-var-data-in' type='checkbox'><label for='data-32f932c8-a8a1-48a3-a6a7-ef0c10ed399f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Calibration coefficients for this equation</dd></dl></div><div class='xr-var-data'><pre>array([[[b&#x27;dP =-0.08 dbar.                                                                                                                                                                                                                                                 &#x27;,\n",
+       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SCIENTIFIC_CALIB_COEFFICIENT</span></div><div class='xr-var-dims'>(N_PROF, N_CALIB, N_PARAM)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-493e5d14-3dee-4da2-b3cd-8d219ce622c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-493e5d14-3dee-4da2-b3cd-8d219ce622c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f9f662d-024d-48a3-9437-dfcf613502f7' class='xr-var-data-in' type='checkbox'><label for='data-1f9f662d-024d-48a3-9437-dfcf613502f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Calibration coefficients for this equation</dd></dl></div><div class='xr-var-data'><pre>array([[[b&#x27;dP =-0.08 dbar.                                                                                                                                                                                                                                                 &#x27;,\n",
        "         b&#x27;none                                                                                                                                                                                                                                                            &#x27;,\n",
        "         ...,\n",
        "         b&#x27;                                                                                                                                                                                                                                                                &#x27;,\n",
@@ -717,7 +719,7 @@
        "         ...,\n",
        "         b&#x27;                                                                                                                                                                                                                                                                &#x27;,\n",
        "         b&#x27;                                                                                                                                                                                                                                                                &#x27;]]],\n",
-       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SCIENTIFIC_CALIB_COMMENT</span></div><div class='xr-var-dims'>(N_PROF, N_CALIB, N_PARAM)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2738bd77-75f8-44c9-97af-04a29c0679a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2738bd77-75f8-44c9-97af-04a29c0679a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bf1b8ab-584b-4125-9bec-761cb3dadbfa' class='xr-var-data-in' type='checkbox'><label for='data-2bf1b8ab-584b-4125-9bec-761cb3dadbfa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Comment applying to this parameter calibration</dd></dl></div><div class='xr-var-data'><pre>array([[[b&#x27;Pressures adjusted by using pressure offset at the sea surface. The quoted error is manufacturer specified accuracy in dbar.                                                                                                                                    &#x27;,\n",
+       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SCIENTIFIC_CALIB_COMMENT</span></div><div class='xr-var-dims'>(N_PROF, N_CALIB, N_PARAM)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-02a90a18-f41e-49b6-ba66-019809ea76ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02a90a18-f41e-49b6-ba66-019809ea76ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ba50f18-e27d-4fcf-a2df-c7c07e340c72' class='xr-var-data-in' type='checkbox'><label for='data-0ba50f18-e27d-4fcf-a2df-c7c07e340c72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Comment applying to this parameter calibration</dd></dl></div><div class='xr-var-data'><pre>array([[[b&#x27;Pressures adjusted by using pressure offset at the sea surface. The quoted error is manufacturer specified accuracy in dbar.                                                                                                                                    &#x27;,\n",
        "         b&#x27;The quoted error is manufacturer specified accuracy with respect to ITS-90 at time of laboratory calibration.                                                                                                                                                   &#x27;,\n",
        "         ...,\n",
        "         b&#x27;                                                                                                                                                                                                                                                                &#x27;,\n",
@@ -742,7 +744,7 @@
        "         ...,\n",
        "         b&#x27;                                                                                                                                                                                                                                                                &#x27;,\n",
        "         b&#x27;                                                                                                                                                                                                                                                                &#x27;]]],\n",
-       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SCIENTIFIC_CALIB_DATE</span></div><div class='xr-var-dims'>(N_PROF, N_CALIB, N_PARAM)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fd58fbd3-38aa-4a94-be10-3b4b6931da79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd58fbd3-38aa-4a94-be10-3b4b6931da79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e95193ab-719b-45b0-9b85-30156d4242bb' class='xr-var-data-in' type='checkbox'><label for='data-e95193ab-719b-45b0-9b85-30156d4242bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Date of calibration</dd><dt><span>conventions :</span></dt><dd>YYYYMMDDHHMISS</dd></dl></div><div class='xr-var-data'><pre>array([[[b&#x27;20160404163958&#x27;, b&#x27;20160404163958&#x27;, ..., b&#x27;              &#x27;,\n",
+       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SCIENTIFIC_CALIB_DATE</span></div><div class='xr-var-dims'>(N_PROF, N_CALIB, N_PARAM)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f1fcd472-3b53-4a11-a691-02e5bf7e69ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1fcd472-3b53-4a11-a691-02e5bf7e69ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-109f984b-c3e0-4854-b3b3-6b5df70778b8' class='xr-var-data-in' type='checkbox'><label for='data-109f984b-c3e0-4854-b3b3-6b5df70778b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Date of calibration</dd><dt><span>conventions :</span></dt><dd>YYYYMMDDHHMISS</dd></dl></div><div class='xr-var-data'><pre>array([[[b&#x27;20160404163958&#x27;, b&#x27;20160404163958&#x27;, ..., b&#x27;              &#x27;,\n",
        "         b&#x27;              &#x27;]],\n",
        "\n",
        "       [[b&#x27;20160404163958&#x27;, b&#x27;20160404163958&#x27;, ..., b&#x27;20181130145200&#x27;,\n",
@@ -754,7 +756,7 @@
        "         b&#x27;              &#x27;]],\n",
        "\n",
        "       [[b&#x27;20181115180115&#x27;, b&#x27;              &#x27;, ..., b&#x27;              &#x27;,\n",
-       "         b&#x27;              &#x27;]]], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_INSTITUTION</span></div><div class='xr-var-dims'>(N_HISTORY, N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-14704737-2d59-43b5-bd9a-650af7d741c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14704737-2d59-43b5-bd9a-650af7d741c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eeaa3f75-545d-43ce-9352-aef8b41aeb97' class='xr-var-data-in' type='checkbox'><label for='data-eeaa3f75-545d-43ce-9352-aef8b41aeb97' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Institution which performed action</dd><dt><span>conventions :</span></dt><dd>Argo reference table 4</dd></dl></div><div class='xr-var-data'><pre>array([], shape=(0, 398), dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_STEP</span></div><div class='xr-var-dims'>(N_HISTORY, N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5e1f28d9-fe73-4da2-94ca-3014fe374f77' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e1f28d9-fe73-4da2-94ca-3014fe374f77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5bb80283-42c4-48fa-80f8-36ae5687bb93' class='xr-var-data-in' type='checkbox'><label for='data-5bb80283-42c4-48fa-80f8-36ae5687bb93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Step in data processing</dd><dt><span>conventions :</span></dt><dd>Argo reference table 12</dd></dl></div><div class='xr-var-data'><pre>array([], shape=(0, 398), dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_SOFTWARE</span></div><div class='xr-var-dims'>(N_HISTORY, N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-aa24ca82-8295-492a-8e64-10d4de7baea4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa24ca82-8295-492a-8e64-10d4de7baea4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d24d7d44-1b83-4ace-bfcf-65e4a2eeea33' class='xr-var-data-in' type='checkbox'><label for='data-d24d7d44-1b83-4ace-bfcf-65e4a2eeea33' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Name of software which performed action</dd><dt><span>conventions :</span></dt><dd>Institution dependent</dd></dl></div><div class='xr-var-data'><pre>array([], shape=(0, 398), dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_SOFTWARE_RELEASE</span></div><div class='xr-var-dims'>(N_HISTORY, N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b2e0797d-0f25-422d-a332-2ec9df77aaed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2e0797d-0f25-422d-a332-2ec9df77aaed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6306e8a9-d075-439f-9ddf-d6a41059dcb8' class='xr-var-data-in' type='checkbox'><label for='data-6306e8a9-d075-439f-9ddf-d6a41059dcb8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Version/release of software which performed action</dd><dt><span>conventions :</span></dt><dd>Institution dependent</dd></dl></div><div class='xr-var-data'><pre>array([], shape=(0, 398), dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_REFERENCE</span></div><div class='xr-var-dims'>(N_HISTORY, N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b3de741c-0fe5-4b71-af46-afdd5e5be706' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3de741c-0fe5-4b71-af46-afdd5e5be706' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da1000cb-37c9-49c7-8210-d29b84ca96ec' class='xr-var-data-in' type='checkbox'><label for='data-da1000cb-37c9-49c7-8210-d29b84ca96ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Reference of database</dd><dt><span>conventions :</span></dt><dd>Institution dependent</dd></dl></div><div class='xr-var-data'><pre>array([], shape=(0, 398), dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_DATE</span></div><div class='xr-var-dims'>(N_HISTORY, N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c1caba87-27af-4838-a694-ee818dded39c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1caba87-27af-4838-a694-ee818dded39c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8dc00a2f-2be4-49bb-b88d-efadc6b504dd' class='xr-var-data-in' type='checkbox'><label for='data-8dc00a2f-2be4-49bb-b88d-efadc6b504dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Date the history record was created</dd><dt><span>conventions :</span></dt><dd>YYYYMMDDHHMISS</dd></dl></div><div class='xr-var-data'><pre>array([], shape=(0, 398), dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_ACTION</span></div><div class='xr-var-dims'>(N_HISTORY, N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-10daea6b-6c45-40c5-afec-c6c6f9f5e755' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10daea6b-6c45-40c5-afec-c6c6f9f5e755' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb88e41d-798e-4442-afe7-1051b50d5136' class='xr-var-data-in' type='checkbox'><label for='data-eb88e41d-798e-4442-afe7-1051b50d5136' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Action performed on data</dd><dt><span>conventions :</span></dt><dd>Argo reference table 7</dd></dl></div><div class='xr-var-data'><pre>array([], shape=(0, 398), dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_PARAMETER</span></div><div class='xr-var-dims'>(N_HISTORY, N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-acbd1efe-18f7-4122-9ea4-ff72642b5bf4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-acbd1efe-18f7-4122-9ea4-ff72642b5bf4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7e8f513-5415-4de1-9c1d-7386594afd4a' class='xr-var-data-in' type='checkbox'><label for='data-f7e8f513-5415-4de1-9c1d-7386594afd4a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Station parameter action is performed on</dd><dt><span>conventions :</span></dt><dd>Argo reference table 3</dd></dl></div><div class='xr-var-data'><pre>array([], shape=(0, 398), dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_START_PRES</span></div><div class='xr-var-dims'>(N_HISTORY, N_PROF)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-da88e789-a9cb-4531-bdfc-10c7d5be6d91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da88e789-a9cb-4531-bdfc-10c7d5be6d91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8720c87-98e7-465f-bda7-2de2523aaaf7' class='xr-var-data-in' type='checkbox'><label for='data-d8720c87-98e7-465f-bda7-2de2523aaaf7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Start pressure action applied on</dd><dt><span>units :</span></dt><dd>decibar</dd></dl></div><div class='xr-var-data'><pre>array([], shape=(0, 398), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_STOP_PRES</span></div><div class='xr-var-dims'>(N_HISTORY, N_PROF)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a1a19b49-8173-46ac-92b4-99582aa9e0d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1a19b49-8173-46ac-92b4-99582aa9e0d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-081e0c34-e2ad-47ea-8f57-042308f1221c' class='xr-var-data-in' type='checkbox'><label for='data-081e0c34-e2ad-47ea-8f57-042308f1221c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Stop pressure action applied on</dd><dt><span>units :</span></dt><dd>decibar</dd></dl></div><div class='xr-var-data'><pre>array([], shape=(0, 398), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_PREVIOUS_VALUE</span></div><div class='xr-var-dims'>(N_HISTORY, N_PROF)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-073b4c87-a235-445b-92d2-b15560799b4d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-073b4c87-a235-445b-92d2-b15560799b4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe6dfd7e-b4ce-4253-b3de-1adddb209224' class='xr-var-data-in' type='checkbox'><label for='data-fe6dfd7e-b4ce-4253-b3de-1adddb209224' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Parameter/Flag previous value before action</dd></dl></div><div class='xr-var-data'><pre>array([], shape=(0, 398), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_QCTEST</span></div><div class='xr-var-dims'>(N_HISTORY, N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0dd43c2d-37cc-4e4f-9970-525a6e811513' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0dd43c2d-37cc-4e4f-9970-525a6e811513' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-235e15aa-f583-45c7-8ced-001e07d04aa2' class='xr-var-data-in' type='checkbox'><label for='data-235e15aa-f583-45c7-8ced-001e07d04aa2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Documentation of tests performed, tests failed (in hex form)</dd><dt><span>conventions :</span></dt><dd>Write tests performed when ACTION=QCP$; tests failed when ACTION=QCF$</dd></dl></div><div class='xr-var-data'><pre>array([], shape=(0, 398), dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1bd2d16b-e3a6-44eb-a421-3f18d00eff2e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1bd2d16b-e3a6-44eb-a421-3f18d00eff2e' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>Argo float vertical profile</dd><dt><span>institution :</span></dt><dd>FR GDAC</dd><dt><span>source :</span></dt><dd>Argo float</dd><dt><span>history :</span></dt><dd>2018-12-11T03:56:54Z creation</dd><dt><span>references :</span></dt><dd>http://www.argodatamgt.org/Documentation</dd><dt><span>comment :</span></dt><dd>free text</dd><dt><span>user_manual_version :</span></dt><dd>3.2</dd><dt><span>Conventions :</span></dt><dd>Argo-3.2 CF-1.6</dd><dt><span>featureType :</span></dt><dd>trajectoryProfile</dd></dl></div></li></ul></div></div>"
+       "         b&#x27;              &#x27;]]], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_INSTITUTION</span></div><div class='xr-var-dims'>(N_HISTORY, N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bf746f9e-10ee-4ca4-988c-4fdb9c0b9687' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf746f9e-10ee-4ca4-988c-4fdb9c0b9687' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e551e1a-9bca-49e9-8afa-b1fcf5a3446d' class='xr-var-data-in' type='checkbox'><label for='data-1e551e1a-9bca-49e9-8afa-b1fcf5a3446d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Institution which performed action</dd><dt><span>conventions :</span></dt><dd>Argo reference table 4</dd></dl></div><div class='xr-var-data'><pre>array([], shape=(0, 398), dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_STEP</span></div><div class='xr-var-dims'>(N_HISTORY, N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-74028438-6c44-4194-8f1a-190e20149ebc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74028438-6c44-4194-8f1a-190e20149ebc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec252831-af2e-475d-8cfd-19b34885a3cb' class='xr-var-data-in' type='checkbox'><label for='data-ec252831-af2e-475d-8cfd-19b34885a3cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Step in data processing</dd><dt><span>conventions :</span></dt><dd>Argo reference table 12</dd></dl></div><div class='xr-var-data'><pre>array([], shape=(0, 398), dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_SOFTWARE</span></div><div class='xr-var-dims'>(N_HISTORY, N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-95788861-ecb5-4bbe-91c5-5c06adc35434' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95788861-ecb5-4bbe-91c5-5c06adc35434' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd52740a-300d-45ae-a57d-c29549b2bfd0' class='xr-var-data-in' type='checkbox'><label for='data-cd52740a-300d-45ae-a57d-c29549b2bfd0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Name of software which performed action</dd><dt><span>conventions :</span></dt><dd>Institution dependent</dd></dl></div><div class='xr-var-data'><pre>array([], shape=(0, 398), dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_SOFTWARE_RELEASE</span></div><div class='xr-var-dims'>(N_HISTORY, N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6d095fef-3a56-4afc-8dda-edc1603eabb8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d095fef-3a56-4afc-8dda-edc1603eabb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9f21779-3516-4f81-94af-998487e81619' class='xr-var-data-in' type='checkbox'><label for='data-d9f21779-3516-4f81-94af-998487e81619' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Version/release of software which performed action</dd><dt><span>conventions :</span></dt><dd>Institution dependent</dd></dl></div><div class='xr-var-data'><pre>array([], shape=(0, 398), dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_REFERENCE</span></div><div class='xr-var-dims'>(N_HISTORY, N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-82be8953-2db7-4214-a9bd-6db0eb3f15ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82be8953-2db7-4214-a9bd-6db0eb3f15ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3eed84a8-4e41-4f6b-83d2-533a7ffd9bb7' class='xr-var-data-in' type='checkbox'><label for='data-3eed84a8-4e41-4f6b-83d2-533a7ffd9bb7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Reference of database</dd><dt><span>conventions :</span></dt><dd>Institution dependent</dd></dl></div><div class='xr-var-data'><pre>array([], shape=(0, 398), dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_DATE</span></div><div class='xr-var-dims'>(N_HISTORY, N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4a301b1d-56a7-4649-bd55-b9eb800d341e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a301b1d-56a7-4649-bd55-b9eb800d341e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ccb94a45-9f0d-43ff-bbe6-6ee40849b15b' class='xr-var-data-in' type='checkbox'><label for='data-ccb94a45-9f0d-43ff-bbe6-6ee40849b15b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Date the history record was created</dd><dt><span>conventions :</span></dt><dd>YYYYMMDDHHMISS</dd></dl></div><div class='xr-var-data'><pre>array([], shape=(0, 398), dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_ACTION</span></div><div class='xr-var-dims'>(N_HISTORY, N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-72051a7f-6747-4592-a44e-8450f303f56c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72051a7f-6747-4592-a44e-8450f303f56c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e54eface-de55-4beb-a6e5-9b05bfba9598' class='xr-var-data-in' type='checkbox'><label for='data-e54eface-de55-4beb-a6e5-9b05bfba9598' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Action performed on data</dd><dt><span>conventions :</span></dt><dd>Argo reference table 7</dd></dl></div><div class='xr-var-data'><pre>array([], shape=(0, 398), dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_PARAMETER</span></div><div class='xr-var-dims'>(N_HISTORY, N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d0eed7c0-270c-4366-bb5e-df1f66ce1dd2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0eed7c0-270c-4366-bb5e-df1f66ce1dd2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17e237b7-eb38-4f67-b8e5-4d38618bf01b' class='xr-var-data-in' type='checkbox'><label for='data-17e237b7-eb38-4f67-b8e5-4d38618bf01b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Station parameter action is performed on</dd><dt><span>conventions :</span></dt><dd>Argo reference table 3</dd></dl></div><div class='xr-var-data'><pre>array([], shape=(0, 398), dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_START_PRES</span></div><div class='xr-var-dims'>(N_HISTORY, N_PROF)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3718085f-71d2-424f-bed5-c187d0fb7575' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3718085f-71d2-424f-bed5-c187d0fb7575' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a17c272e-31c5-437d-8515-1ce661750973' class='xr-var-data-in' type='checkbox'><label for='data-a17c272e-31c5-437d-8515-1ce661750973' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Start pressure action applied on</dd><dt><span>units :</span></dt><dd>decibar</dd></dl></div><div class='xr-var-data'><pre>array([], shape=(0, 398), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_STOP_PRES</span></div><div class='xr-var-dims'>(N_HISTORY, N_PROF)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c24c512b-823d-4cd6-a385-f42247b49137' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c24c512b-823d-4cd6-a385-f42247b49137' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e43861ce-3e48-4852-ad3e-19547ea38cb8' class='xr-var-data-in' type='checkbox'><label for='data-e43861ce-3e48-4852-ad3e-19547ea38cb8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Stop pressure action applied on</dd><dt><span>units :</span></dt><dd>decibar</dd></dl></div><div class='xr-var-data'><pre>array([], shape=(0, 398), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_PREVIOUS_VALUE</span></div><div class='xr-var-dims'>(N_HISTORY, N_PROF)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cf23c40f-7248-4b7a-bd3e-230701f016a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf23c40f-7248-4b7a-bd3e-230701f016a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bf2a884-95ed-4a34-8219-d28c10817941' class='xr-var-data-in' type='checkbox'><label for='data-2bf2a884-95ed-4a34-8219-d28c10817941' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Parameter/Flag previous value before action</dd></dl></div><div class='xr-var-data'><pre>array([], shape=(0, 398), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_QCTEST</span></div><div class='xr-var-dims'>(N_HISTORY, N_PROF)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-18a1ed41-a749-4b24-93d6-d9db37450e90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18a1ed41-a749-4b24-93d6-d9db37450e90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c30481a-426f-4c61-a518-05c92a1608d2' class='xr-var-data-in' type='checkbox'><label for='data-3c30481a-426f-4c61-a518-05c92a1608d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Documentation of tests performed, tests failed (in hex form)</dd><dt><span>conventions :</span></dt><dd>Write tests performed when ACTION=QCP$; tests failed when ACTION=QCF$</dd></dl></div><div class='xr-var-data'><pre>array([], shape=(0, 398), dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a0ff0461-7959-4afb-9cc6-f035792e8a6a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a0ff0461-7959-4afb-9cc6-f035792e8a6a' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>Argo float vertical profile</dd><dt><span>institution :</span></dt><dd>FR GDAC</dd><dt><span>source :</span></dt><dd>Argo float</dd><dt><span>history :</span></dt><dd>2018-12-11T03:56:54Z creation</dd><dt><span>references :</span></dt><dd>http://www.argodatamgt.org/Documentation</dd><dt><span>comment :</span></dt><dd>free text</dd><dt><span>user_manual_version :</span></dt><dd>3.2</dd><dt><span>Conventions :</span></dt><dd>Argo-3.2 CF-1.6</dd><dt><span>featureType :</span></dt><dd>trajectoryProfile</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -883,49 +885,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/takaya/miniconda3/envs/uptodate/lib/python3.6/site-packages/xarray/core/groupby.py:749: FutureWarning: Default reduction dimension will be changed to the grouped dimension after xarray 0.12. To silence this warning, pass dim=xarray.ALL_DIMS explicitly.\n",
-      "  allow_lazy=True, **kwargs)\n",
-      "/home/takaya/miniconda3/envs/uptodate/lib/python3.6/site-packages/xarray/core/nanops.py:161: RuntimeWarning: Mean of empty slice\n",
-      "  return np.nanmean(a, axis=axis, dtype=dtype)\n",
-      "/home/takaya/miniconda3/envs/uptodate/lib/python3.6/site-packages/ipykernel_launcher.py:14: FutureWarning: Series.data is deprecated and will be removed in a future version\n",
-      "  \n",
-      "/home/takaya/miniconda3/envs/uptodate/lib/python3.6/site-packages/ipykernel_launcher.py:15: FutureWarning: Series.data is deprecated and will be removed in a future version\n",
-      "  from ipykernel import kernelapp as app\n"
-     ]
-    },
     {
      "data": {
       "text/plain": [
-       "<cartopy.mpl.gridliner.Gridliner at 0x7f69c3e4a5c0>"
+       "<cartopy.mpl.gridliner.Gridliner at 0x7f55b2e78f70>"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/takaya/miniconda3/envs/uptodate/lib/python3.6/site-packages/matplotlib/figure.py:2369: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n",
-      "  warnings.warn(\"This figure includes Axes that are not compatible \"\n"
-     ]
-    },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x432 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -943,8 +925,8 @@
     "im = ax.scatter(ds.groupby('JULD').mean().LONGITUDE.values, ds.groupby('JULD').mean().LATITUDE.values, \n",
     "               s=10., c=ds.groupby('JULD').mean().JULD.values, rasterized=True,\n",
     "               transform=ccrs.PlateCarree())\n",
-    "ax.plot(pf.lon.data, (pf.lat-0.).data, 'k', lw=2, transform=ccrs.PlateCarree())\n",
-    "ax.plot(saf.lon.data, (saf.lat+0.).data, 'k', lw=2, transform=ccrs.PlateCarree())\n",
+    "ax.plot(pf.lon, (pf.lat-0.), 'k', lw=2, transform=ccrs.PlateCarree())\n",
+    "ax.plot(saf.lon, (saf.lat+0.), 'k', lw=2, transform=ccrs.PlateCarree())\n",
     "ax.coastlines()\n",
     "ax.gridlines()"
    ]
@@ -958,7 +940,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1111,7 +1093,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1139,24 +1121,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "<ipython-input-5-2d44ffd49118>:5: 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",
-      "  im1 = ax1.pcolormesh(N2_intp.time, -pnew, N2_intp.data.T*1e5,\n",
-      "<ipython-input-5-2d44ffd49118>:7: 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",
-      "  im2 = ax2.pcolormesh(chl_intp.time, -pnew, chl_intp.data.T,\n",
-      "<ipython-input-5-2d44ffd49118>:9: 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",
-      "  im3 = ax3.pcolormesh(C_intp.time, -pnew, C_intp.data.T,\n"
-     ]
-    },
     {
      "data": {
-      "image/png": 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\n",
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ebLn9QWsTbLPGqelKJzFTyVGyLV66oB+t16YgTVjvQJF/9ZdqOvbbG6S8X6YQKxnzlX+N+tqovfiDdtXleDHZOEeFdpTy/OnN6tlYas+/6Cegqx4jKRrIfUu838RrqJQV+hPXPC+E89MpZrKaPpD/q986tOdRZK8jQrtIeXbh9zzeSbab/bXwvWrrHBp9p1RuYDipi1zVQWYX0wppDHrrhMyCHikk21JxrPXoaUdrQ6KbSCXJx5ZeYEvF81MrJltqi/8VDV0tb51rI/pKiKt4ALC/hMLV6/n2iP16fPQjUt5m9xKqv1KO2TC7D/Wnr9Plc/drCelri883m0Z/3yT0a+1vqxCefb7np/rz5Rvy3lptGgCYW/Bx0ekzetcm0FUSH61tqX55nmAVxmunNF7I7dBTnRH7TDAPl/KyHIErnTQOOOCqk839WQCmMMYmAQgGEMkYm8U5v04okwFAFONPAlA3QfN6gmGTbaDRwarxX2AsHAztqyltwIABAwYMGGiW4FzR5NR+atyNP8k5T+KcpwC4CsBfmgk2AMwFcINXZWQ4gCLOeaOZigBnGJMtsjSlFQfVtPZN1s7JXqikXGay9SCy1yJTPiL4cqncRtcf8AexDj1Wz6PVcPajsay1Wxah1cTVU+eQmHmBAde+wYtRtzw69q/zhi9W04P/cyXaec0L9+w4gu69k5W6eXs4Uo4g/TBpufrTu9ZCj7kQlVIAwCmw9OJ+Fo29ttsjMFya6vVkuURmTLbHkyM3+lMhUdpCJmha+zyR8RDtecMRJ5WzWYlR1LPzdTjz/Obpod9CYqgz122Q8l5YTuZA2vMvMs8+103L3Hqhp1GvtbOPCeuspksd8u8WfQgCVYrQ6tzyANku8bclR4+R8srcdM6LNfe23rUS+0yh61i133sb6bcOz/a31HTcCNkEsriC6lxWKLdjSMQ1anpz2Ww1vbH4S6lcgWmCmk7J643Y1Dh0GJqCvQt345dMYmczyzfKTRZt9esYzZILDG99KTn5PXZd1Yd0xmuRvRZVkQCgTTCpc6QXyYoS/rSYr06W4x+cOEpM+Y6SNCkvKYKeDxUumSUuLNsttF+MaCu30e3wtb2tbj/tKr/kv6MTn0C8vozJ96Foiy4qsQDAWZYL1PTcglf8tlFPocSf4pbSFv/8pV//Js05CAoifySHZpVB7DNzh8sqYXevuUTaXlDxst+2NAo46spkVwvG2F0AwDmfCeAPAJMAHABQDuDmejtQHWEw2QYaHbF9k9X00w98BF6oTBqZ2YrHnri9QY/trOOE0kAAYCYgtqvyMdBiYLaYMHJcTzwz83r8uuN5vPjZLQgKqlkRyGw2YcRd5+CWX+/CBc9diJt/uQMxrcJr3M+AAQMtCNxrLqL91KoKvpRzfpE3PdM7wYZXVeReznknznkfzvlG/ZoaHmcUky1GHNRjHU4UrqpT/aJtplNgiZeXfYYQMdqbwDxqWT2LmZhgrV6nXptDg+lNPTKonZqu1W8RmAWbRXbetQvEiKSn3eFpqdzbR/3r5Yp4Yb/yNp/YPg5TWyvMY2lxBY5uLcC6x3/D8A8Uu85Ro4egwkk2hfWhn6oXOVBkILTRLPVQFyUSpmGyIVxfLetWGaAqiagWsLd0gSaX6g8PkW2Tj187VE3Hfv4n6oIvuo+gIw0bDRPrC8Zs4LwcOwXtZ1/WRxyGNH2cV89mavuByF57POVSXnEF6VNr7yFxW/TmD7ZGSeVEzWAtS8UEXXetBrg4JrQRIqpqkVN86s+CErswrtja+GXAtYxZxj9JcaKwdJeUJ57zLSXf4O67b8PTTz+O1q1pPBvTLgaFC9+D5+8fAQDWf82S6jhSsgrde3TBJ5+8icGD+6vfR7SJxE/7HoSHbwXAwT6V+7z1TmLExXvFR90lYH3zEM22/4iJgdYRLaySFJbtk/ICjewnrV5q+pY/VSQAOFwHjfeNeXL9paA628fIikBTNxGLvj9/ppQnnrvlI+9R00fLZKb89j3fqmmt6pV434tKMgDAhJ8T8CqGZkzwCNt5GpZ+LuRtEeJqYGVltt9yZsHe38eHI8BVDb2VWT2bbHGcvGqN/BzZXfmrtnATA5fs5Vs6DCb7NCBE40RogNBvOJkR7NiYDo+Ho3DbUTiLlQdu6zbx6NIltbGaZ6DOKEfV8MJYKPqe3VG/uIF6RX3L/gHAxInj8c47r0kT7Cqw4ROA9rLTJGMM48aNxfc/fIRNmxZLE2wqEw3GjPvbgIEzBpwDLrfvp4WiSUyyGWPpjLE9jLE07+cC7/ddGWNrGGP7vP+71FSXgeaFfsNokr11nddOnnMUbE1Xvz/r7CGnuVUGTh0ecBALNPFG4xo2Z1gsFrz66v+p25mZx+Hhx8C9ESEZM8F80W2ALRgWiwW3334b9u3bhUWL/sS0aZNgsSiMncNRiWeffgsvvUgSXibWAYBBRBgwcEaAA3C7fD8tFE3JXOQyzqXIBwAwE8AMzvksxth1AD4AMMZ318AQqBzPRCE4wyrnb1KengC9uMQ/LILs7UfGyA5oqwvIDviE6aCUV+QkE5Fye+CONG5Rwi/ggCdy/WL7SzRLn/7wac7X0rae86S47Hd+rGLScvbI7up3f67+DQdd62A1TURR2mG0PqeHUvacSVj2reL8mC68F5Y7yCESAMwmclLxaJbe9KT6RIhLhR6PXIfTSdKLohOqFtqlQn+OO0zzjis62fiaqgTWF8SlZyeXl2DFdmnPzzk/0fKvSUeOSg92t7xsyflxgCnX+bwpvRH/1Wy4i8uweIVWOvLUg/7oXd9/ptBy9sFimTH5+uSralp0+LRr+pYEjROhXjAa8Z4STbe0zplhgiymNiiLuIysNRkQr2mgS9Ta5fcBS/0HPKkK/3733begR49uAAB7iQMzp3yDZzcMBkcQTBgMxqxgMa1hvv4fOHDxv5HcKcGnrlXLtuDFJ7/Cgb0ZYIxh6MAhGDtRkcU1sW7w3HI9AMFk5M7Pqc2iiYj23uPVO8kBitlMFcwaZ2JpzBS+15psiNdK28+KyslkI1DzED34jB3CvRgb3lvKE02YtM63/sacS9rLJjlL9pJZ4N782VKeKB/YO+ZaKe9A+d9qeviySZSGjHuj5qrp1sE9pbzjZdTvGkI7PFA5WS0CXQUKNPy6HvTMH0VHdZdbdiAV+9qGok+kPKv3nm2yqGKyzxA0CSa7OjDGWgMYCKDKqOtbAAMZYwbl0UIQFG5Dm27KQOJ2u7FpI+l7FqaRHvmgkd1Oe9sM1AfKwLkyKTHZLIi9wG+cAQNNGFFRkXjmmenq9qIZK1CaV2X37gDnpMDE2nSVJthFhWX4ZObPGDP8dlx98ZM4sFeZmHDOMf2ed8G5MuljzAIT64nqY0kYMGCg5eDUHR+bE5oSk/01Y4wBWAngn1AExTM5V+LDcs7djLHj3u9zxB0ZY3cAuAMAOnSQpXr8QWSOyu3yG2k6I0epSpcsQyfConlj9AiM3LZKkunblCk7YonoFX6htO2y0BtqoTYYiigxpiNHJToJ6QXVYDr+JFq2S2Rzbk98UE1/kPmS//q1jKjw1v7C/nMAxMBkUtqXvjMbfeyjAAswbs1/YdlgQeHbNyEsLAztOsSjPGYrjh7NkJgkLfuhxyTJrABdU73zaDHLTjwuN23XRg7Mn+OOKMsHAKE2WvGIiBgg5Q0xkbnFz/ly6GtRNktktAYIEmsAcNC1Wk2LLBgAbC/6Tk2LwYZqg1H9iNWr/IfCrpiHH4Dt6tuU78YOx+3/WiitOAByAAu7T/jg6gdfLUtlMUeraUlqEUCfKGIsLZqAFTyb6pfq9HFKFSQCLbJTpOis7HDIkqxiWbGc0yXLZ8YEpajpzMJl8qEDDL4SbKPzWOmUJb/k4FvyOS4Q5Nh8JNK4E08++SDi45W+eSQ9E7f/9wk4HJV4cDL91uR5z0HhRRQ4i8uR/tUyHJ29BtMSjmFaKoDURLy/WWN/fWgeeOolYCYzGItA9rceHJ35u8/vlNqlI0eobb/I/GuD0fhbQdGOK/pOkf4ZOT3puUAh1qF13vNXTnu8DjHj1fSo34ZK5aYOIUfODx09pLyOFuKlNxXIbKkod2naTy9ZmdNl6c4IKzkT92d9pbxCG40XDeFDIF437bUPEeTxREEEwP9qbG2uoTg3sGpkDUUGXG+VRHsPixDP/+CoW6S8nQ7Z4b0ysAX80wfOwQLQxW4paCpM9jmc834AhkChMmoV1o9z/iHnfDDnfHCrVgbR3VzAGE1Adq07IuW5XC6sXr1G3T77bO1CpIHmAPfmteB25YUktVsC+o/oVMMeBpoSOnZMwf3336VuP/vMG3A4Kn3Kefg+cF4Izh049PnfWHnpf5E+azk89hqe8I484CQpz7S9ZjQiB3bW2cGAAQPNHh6P76eFokkw2ZzzY97/DsbYe1Ci9jwMoB1jzOxlsc0A2gI4plOVLsS3S+3bq4iTLrJHdrr8i+nrMRxi/Xphtl2QmbrunGS+MiGHMRbZNG2douRelJnYg5M6b9+i2D0A9AqZqKY3FcrMhcdDzNusPLLD1g0IU4PcHgNNstev24NcKG/yI6IUG9rD6x2Al4Q555yR+PabOZKEVm1seUX2Wi9AT+tQskPMKt0q5dV/MAsNYyYw8WIocABYYBODJ8nnVeyHoh1lV42qTVop2RnHRvSR8sQ+GaSxFw4U+VnEUKdlkzRlvz92IOUShYkffV0qPl0grw45XfS7tbbKYsAk8XebTDI7JAbq8Djl83P+gHQ13WqX3Of5PkEWMGDJNbkfuEWuQmMvLLJTMrMmS8Hl2ymQT20YM7Gsnr+IyaQTxIlXzyrFx8dj7R8LYbMptsyb1+/Fyt/TER+k6J5vzaGVl/ZwwcPTAACp+Bmpggmv54Yb1fSTmmMovc4JE88HY0qI+x7/uQr47RWw1dRmi4XOl0fnvrdoVhlE3wPtSlddmGZR5hEA4kNIA77QcVTKK62ga+pjH+xHmlJbTvQj0guipYes0i20ESOHPY8TCF4xwAwA7AyiZ5+2XVFR7XHhheMQFR2Jp15nKC9zoCi/DLt3WVBWQj4FyR7yubEzud+J44x+cCkaV4Kssn9TuV0+5yLENmuvvfh8jg6TGfyicrqPpEBBteg/4r2unSeI85BApSO1EPvF7sq/pDyHs251njbU0SabMRYMYDmAIChz19mc839ryowC8CuAKnvTOZzz50+luaeKRp9kM8bCAFg450Vec5GrAKRxzk8yxtIAXA1glvf/Fs55jv/aDDQfMEAIp7513SGfEmmraWJ5jsFkN1uk/7JBnWRfcskkPPBADAoKCmrYy0BjIjY2FosXL0BsZ8UExOPy4MV/fdZgx/PwPTDZ+4CFRICFRoMPuwLA+zXu1yyhY+7SHDBlymS89dYbSE5uX21++v4s7Ew7jN++X41di3UciA2cmah7xEcHgDGc81KmvP2sZIzN55yv1ZRbURWopimg0SfZANoA+MnLVJsB7AJQJQdwF4AvGGPPACgAcMOpHEjUqy71w5ABdfdKFtEl9mI1HcRDpTzRM7s9l73w7QKz7RM4Q0dhoqScJqQmgVnTY9G1YvebHMRea5mF9tGj1fQ/k4ap6Yf2fSqVE23rokJlh8UiKUR9rGo7zrkdmzLIXtjhUdi/oxs24Q3HXQgKsqFb9y7omXIuDmSmUTmnbF+rb68dGAudW0EshtUiXzeni85lfXjDu3xWSUTmRW6vvZLeLbX2hSJLI9pa/2CXH3B9IqhPphV8LuWJIYgdFv9+CHoIC6N2PHpwD2Uc3IPvNg3HoEEDERwcjBtuuAJvvPFmtXUEyuxo7RdFjslHaUG4BUIt8r0u2jaaBRt5vaAgjMnnX2TRAw5gpBlzLGZiasM0NvF6q25i+4MEJQ2t8oHI+OnZ73aLvQwRkaH4/Od/oVc/RducezxwzXofiXtDkRhGdrW/Z9J+QSMXCjXKqwzjLxb6U4Tsh0CohCcoHWYoKywsZQAem/I6Nv6lrCouKX5TaL9sLy+yenqBprQQAzJJrLPWJlewz9eGt87QDRhCCLbJDLioXiMxoj7qItQPg6wyC+0U7hWfZ5hQ59mh16tpi3k8/EH0W1HaSL/t2JSbYW4dh+g7rkbIkL7aXSWkdElASpcEXHj5CHww4we8+OwHcLncuDxSFgb77bB/glFsp7hiWa5ZxRCfU9rrFqiamJbBl+rXeebKgWQCN3yuK3stQlTB4n5WoposOAfqYJPNOecAqiZuVu+nyb+xNrpNNuf8EOd8AOe8L+e8F+f8cs75CW/eHs75MM55V+9//+uhBpoVTIyiUnJU7+BhtzuwdTNd8qEjeldbzkDTxwcffKSmH3zwPpjNZp3SBhoTb376IHr1pwm28+sP4d6kJYsaAnnwcHpJv/fVKbDaWl4/0ZWHbKJg4aFo/fJ0aYLtKipF7u/rsHD2RqyYvx37d2TCpWEo77z3Cvw0700kJMZrqzRwxqLuwWgYY2avhcNJAIs45+uqKTaCMbaVMTafMdarmvzTiqbAZDcYtKGjSyQmlaB9Axa9uLWslViWmWT1CYtgO5ZeTAoBQdZoqVxkMC2zZUNmvo6zPQgEWqbZaolV0+UC61nXpUktM3K0YJGavktI+9rS0Zt/UZn8W6oYsx49eqj2l263G506jkF2CTFQdyY+rKZtOwsBb7TuBy64AGvmkbTfTjuF7NUeW8tEJkRRyO98gfXX2jWKjLHWdlusX6ssI0LLVEjnSGAduEaZQNRCFa8nANgsZFojsm5K/dUz7Np2iOy11obwvLCb1PQuVrcQ3zHfkO3t8MSlUt6c2T/ixRfz0KpVHJKTk3HFFdfhhx9+BiCz0q0i/cv85QuMk49dtI5OdvQnFCZePI8AwATbaJe70G8descq1zm2P7vNkOB2UrlkG6k+bC/4yn99WsWeADXNz4t8QE0vK5b9ymPCaMXp/JShOGs0TaR44XpYRkfCMnoicr7zPzb1b0cvyq1+vC6gNlUHzg+CIx6MWZDUuRXmfjEA7r/mIuwNuk5aVR6x/2vVXfRsrbX3kd99dHxLxFWlsGBZ2crlpj5ad01l+m3+nl+Avs330uLAdAS0daTEXKCmD5x1GdrFKUy6x8MBdgIs4hBiJrqQPOEn5XsAESs+R9++ffHkk9MxbdpUAMCQYX2waed3AIrBUQ7wMnDYoaw/VQLwPb+ib0b/iMvVdFdrG6nctzn/oZ+sqUP0e6irP404RuvZy+utGJs0ikZM449RBb0xTDtHEVdsbBZZsac+mPIGBYe/SXU8Y9LD50PO+YfSrgpt358xFg3gZ8ZYb018lc0Akr0mJZMA/AKgUYMYNjqTbeDMw333UXCQX3/9DUeP+ndeydpEqiMJg5IbtF0GGg4VFXZ8+MEsdfvhh+9rxNYY8IfkXjSJ2bXqMFBe/US04eAE5/QibR47BYgxWNDGRGxcJIbfSC+BP0+fC873obrJsd1ux/r163HxxZdh+vQnwL2TfcYsYCwWJpYEk6kbzKZ+MJuGwmw6GyY2CECoT10GWiiqzEW0HyC3SiXO+/nQfxW8EMBSABM03xdzzku96T8AWBljjTqAtGgmu59tkrS9zkkPefGtMSw4RSpXbicBE703YK7Jq/RT1ochCCZW1cz9M8FattSlY4Pn9pBHt8dDutx6TI5WySEmjKSz8kq2+d1P9HK/If42Ke+j4xR6WXvssJAUREVF4IYbyEbwvfc+g8kcIbHGBQ56y21zZCe42wNmNiGuaxtER0agpFg5z3p20do8f9H2mClEZhB02AkRtWEL/KqsaCMHCufApdXq1VFUEG0po0LoRaRUw+oNCZqmpnd4ZOWa5eV0b9gssk1tXTCnWGZj40K6YPaXq/HII3chOCQIgwf3x/ixF2LVyo0YabtDLbe4RHZ287gD68t60PP0r2/o2TvL5eS+Jfpp6Nav0e8Wxyc9n401FaSDHhUqEztFQnTXsk5kh7t40xI8OTld3W4bJkdMPFpKY06vRRS9b+EYeVzp/9cUv+0SYb/P6xNiMiH48edgbp8CZgtCwcjbERZMq2f6KiryyqO4cmQyyRM5cVVDj2kWxwHtmCn2Jz2mWasMIut3E7Ppu3pGY0e/mBulPFHbXi9GgKjO4dHp/1qt6nTv9j1Pvowg77W3Hz6Oblv/hmkpqXxsyydbcTEy5PyPs/DSy2kwoTsYq569BQDGImBCX3j4FlR5V3gENahUM41vk5Pk++lbHRkE8d4I1awyTI6g1ZbvBTYckJ+7bsFvRl+vXhPtVrgXtbbhTAghLq5MaRWHRGUTLcst2or7RijVRtT1r5DWKPDPZOvCG4jQyTkvZEqHGgfgFU2ZBADZnHPOGBsKhUgOTIangWAw2QZOK667/lKEhyuDwPbtu7B06Urd8p5yByoOKQ9+ZjKhS68k3fK1RaDh1g2cOvJyizD7u8Xq9gMP3tyIrTFQHfr2IxPG7dt2NU4jPB5UfveFupkwqieGDO3XOG1pANTGObOx0aZNG9x7793q9skv5tfSBLEIHr4Obs86uD074PEchodngfMCcF6ukiGMBcPE+kHxZTPQslFnm+xEAH8zxrYB2ADFJnseY+wuxliVmP9lAHYwxrYCeBvAVZw3rpxPi2ayLZp3iGAr2bmmRkxW07uKf5X3E7RWtQoQeh7L4huw+BataDRTW3YUkM601sbSIjAlWjZW1GjVermbTcQyRYaQzXdhqfygFN/GtayJyK6lRJ8Pf7i99SA1PX3XuVLeR2ZisrVv2C53Ke64k5iO2MXbkDZKYRQmbqJ2LrD/pqbPyZuK8D156NZFmVx37NYWm9cojJGoCQ0AZQ6iNbQqDyIjpJ1YizZzYp0FGq9zPX1tPWht8qqg15d88nTKig/tPIH5FbXNAWC54z2qTsOuiwxdfLAcbTJQLD2bIo3dlyizbs9frlwzlrsUgBLldOKk0ejWvTNmtKZ7LCF5srRf3x/oNxwu/BP+EB5CdokVlTK9JfbrBE0kzVInsXfFFaIEvzzo62my6+nl+svT2gP76yOAvt6vCK1akIjuYWRfu7XgC7/lpk6kVbYPHxmMl1ceULen7zhbKpt/La1+vLeFlGty7Rp7+WdIgch6QU8pb9kThWr6nBW3SnkengUTU1QU7rzlFhzZqqxyBGlsssuEsdCuWb2Rtejla+qpQce/Ovj4WwSota2dWIv7BWovrHfdtIo0opqMqDV/S+JTUrkfi75X0/FB8grHifI0PP3UvxEaqqwAcF6Cds90Qjt0ks7qpMGkSnX99qWalt3k/V8BoAIcuQAX7adjYEIfMGYCY6EwFXQAFr+H8FBaVXULc6QfjwDJEUK0SWHlQmurL57zCs298b1dZq9FiNdYeoZp5mris9uHrdbpF/IzWNhPWwejbe34IB6vVKM+VBulk0ZB3dVFtgHweThxzmcK6XdRy2CGDQ2DyT4tME4zAEyYMBadOqUAAFzFZShcsimg/QoP0WDZsVuiTsnaQ29yY6D+wXOz8Ps8Cp7w3vsvIGxkP8DS8lQkmhsiIiLAgqIBeGXB7AHKETYQOCcVjknTRiIsPFindPOBv7DdTQ3t2iXgttuJFPHw9AY4SgE8fBe4N+Ifi20PjL4DUVHVSz2KE2wDzRRV5iJ1UBdpjjBmfwZOG66++lI1XfDnWnC7b3jm6pB/iJjJjt3a6pQ00Bzwztufq+khQ/sh4ek7kTLrJcTePBWwGA/RxkKfPkIUUHuB30iQpw8l4FxZQQgLD8HEqSMbuT1nFm67/ToEBSlMMefFaDjT1lxgw4/qFmuVinnzP0d8q1idfQw0W3AOuDy+nxaKFm0uMus8OajGeStoqVJPJktvJUNkPrVLRFYzOYxVCqYeERq5LlH83idEtiAjpnWEEEO8a/eLE2S4OnJaUVmFnfAH7dJzubC8Ntg0SsqLD6JlOcVExALlHU2eKIcEkc20RwqNa8aFE8gROGTHX+jQnqL+mTbTeU2wkMnGXY8XABEkuZfStQ3KWCEAOfBKTXiy4zNq+vsCctKyMpkdq+B0jgsQuCy7HJhAvjaS1JPAYvmw6GIdgiMrAJjMoUKefM7F+iWnV425kVkIeJIadaGUd7DgdzUdjro5Yz+3i/rTtR008pYvkSnA7wA8/ARMjFYlzFHhiLniAvDLR8DDd6LKAeqjbWQiMnbNPL/HLighUxjP/30u5QU/+4Oazi7dKuWJ162u9vmBOmSK5mTiWAEADie9SIYGyU5aeqGjA8UhBwV70oYGrzIz6d+f7J7X/ZGJTx8oRLcoYdn75S+l/RbtJyfb81qROc22ItnB8Pg8klK94Xk5cus5K/TbzfkJMKaYDvznrWvxf2/2hM0iO7RL0YY0JmomweEu2CZP2oIsxJaKTn9aplmUcbVatCYJ1Wv8A/JYKDpWavuLGFhE63wowtfxkfq1WzMmiI544aF0/j898X9yOTGYi+bcDR82XU3veGYeTi7Zrm6PeZbOydz1ZKpVViGb/ASKn+/bgU5XhqPfo8q41K9fD/zx58cYN24Cfs58WS1nLpKd+qLDKKx9fsl2KU/8bSGaPi9eD63Tokl0FBUdi3WcUrUIdEzoGEOBCQ8VyOObaAqjZ65mFQKJAYBJY4Ja4UgPqC2nFXUwF2muaNGTbAP1h6jW4Rh/y1Ck9m8HE0sCY0HgnIMjE5wfRE2Bl0aMGIzwaOWBl5tZBNuxY7rlJZTmgbtdYGYLEtrGITwiFKUl5TXvZ6DJgvO9cPOjYCwBDG3AvC87jEXChEHw8F0AChu1jWca+vUjfexjO7MbsSUEjmxw3tFrsxsFcEPq7XSAMYYBA2llo3hnLcbrOuLg92vhKq/EwH9NBTOb0L17d2zZsgFffPEVvvrqa2zb5l/xykAzQhWTfYagRU+yE3++RtqekEyyZYsEFvFYWXVBgxRomQV/rCQAxAjBb4ocxD6VaJioa1r/U01XaDrbJk52yu09cljyvZzYqNzizVJeniBrVWr1z66I0Dpdjgwic45vJpOjiHXoUDiuuRaxsdGa/RkYksARqbKPg4PJAerv/ClCWTo3v87/E9dEypPy0UGkw7qvghjuQ18rDE3SyGwEpSorAv269MKOjYd9gg1dFUPXe06J7Mz68mFydAkWmCOtdFdi9FlqOipUrl9kzn3tKgMbNPw6vQC6zo0ik6FnR67HrohyeAfy5fMjsibHXXV7mI1uRYzKHf+WnS6rPzsV4PwwuGMPmLkDmLWbdzJlg8nTB+7li/B6ngn5J5UVqR8HPaHuOeOAzPS/2Zvu7SUn/Nvtax2ZxXDyZ0WRdnexSS4nrnxpZeJEplNcSQDk6yFLcMrXWlyd0DLXekynyD6Kobu1/VqUl9OukBVcr9w34WNHq98lZmdiYlsnxg8gnfob3pbvh3ArHbuokhyv28pkI5YV01hyqKtMXRdV0v3wRrrsRK3ACcVMoRUAgLFEfDPgUanENVteU9NaZ2ir8FtPlshjZoWDXiTkIGOyVKEopaZlrsVzGac5dk5xYEGdJBZdG1xIMNnRc3y0O/w7T5YLv1MrQSjK0I4NorE7sWMsoqKUsjk5uTj7Z9lhcu5Tj6vpYtepm3ity1PqWPf5duzOduHady8FYya0atUKjz76MB599GFwXgqOPHBeAKAIWmJHu8IhXscQq7yKId5jQUEJUp42oJE/iM6mdo2ztThe+wZsozHhn+1p9eiuEllpK1C5UaerQNpu8mHW6yjh11xxxtlkj7iyP4Zf0XLkoBoSLDQUoXfdibD77vWZYHuEm4SxSJjYYDAkICRco1NbVQakq7pg/tJat8V5lB5EqV0TdEoaaI7g7qPwVG4EL1Ymt8xshmX0BPy05Vnc//w0RMeduna3AR0wBnMSmTcU7fdvtnC64eE06WFoA5PhJNvg6NiPTBw3b047rcfePn83PHy7r/oVC4eJJcNs6g8TO1s1IzLQzGDYZLdUWPDu0XvAWDw4d+Oa/yZAkRUCTlwcLZXsvogCQ2jtWkUWS8tGnR9MTMxGRlHL9jh/l8r9XES2jR3CZBvFQYzk8faa0qW8/CJZUk5EqK2VmhZDNG/VBEgQGZuk6POkvBuS6be9trk7Hvj1dkR1IvtcT24u7D/9iODLUgB3GTwhncHC+3rZRysY645f9z+HlYu34edZ4lt5MBhT6K2Kigr8ueh3TDRdDhGTEul9b3AcsQ4ps5QlbBZCy8Sp3RPgYR4fGbS/gtPUtN0pM5EieyCyfEnRo6Ry0YweLgeccoAQ8dr7SKnVQYpTT2XAao2TtsOCKBJfoSYYhz+5KB9WTOCTTZpbXyzb1zTWf6N1EGujY3/7omyTfSWRZNg8+jcpLyWBmJjYb2+DifeEEjUXCA614Zr7x+Kq6waCR+1Bla32xZBhtUz02y4xCImWabZaKG9NySdCOZkZlM6xloUWtrXjhb9rYzbJdG+QcL0r7PLSvJap8gerheqs0FGb1P62AfPy0LFzOyzx+l0UZpfg+20OABbcsY8C1TyUIEu87S2i39olitjME+XyOXCAjvdTvhya/eyQrqgZ+eDcDsaCwZgNl6y5FAD5j1xtoXgU59mkAHAY2Zra9VaWbGpyrGBJtUezmqOk7YhgWiHIK0mT8sRzGShzrQftSpS4UhEXLpND+aUUTdqssfGXJGQDZER/zifb55Hd6ZxuSzvgE8zlvF7EBH+ynia7vVp9IJXb8Q8aM9n9l0p5lU+RTfl/DmhtuQvg4WsBHgPG2oAhXgrExJgZDElw8yIAXhZZG5RFWGVobZH7WYmVngF60pfi+WeaIb5MI50n7SeNF/5XF58/tl5Na323isrpJtbes2IAMq0tvdMpO6g2qki0H3B3y51Ua3EGMdkeAMpNx5gZJta9cZujA1uwBYw1rszTqDvOQmthgl25YjlKn/kXXGvXAO5SAByo2A+PaxM4p6X74BAbxk0ejBnfPwQGRa9bZLH//nslKioC04WVIEYA61q/Mn4GmhIq4eFpcHu2g3O65qaYGJhYL6CZyJ81N/ToQ6YgR3Y2HRa7ChzUJtFh1kDDYNCggWp6y5bAHczrFxzKC9ZuePhqJZgNzwTn9PwwsVQYY0IzA0edmGzGWDBjbD1jbCtjbCdj7LlqyjDG2NuMsQOMsW2MsYHV1XU6cQYx2R54+G6YMFB1omG8PTiO+dhu948lRmiD6wcpzyWwSlrWqqiS3lgdrFzYp1BTB22n85Xo3CUVDzxwO3p074KhPXoiqFUkKvNLUPTsq3Bn0lLpmL8pUMfeItmm1i28LYd6qP3PdH5GKne0lNq8xSEzZhO7K+yEKTYG4bdTUIrl/5mP7d+uB6AwOvesIrvxe+7fhdDov3DudYMxeEovJPUkUw7Gk+H+6HOYx10OeMmO+fP/htkUjOVF70jH3uEhlubFFPK4RoxiM8uFgbRjt7YI4r5mKSftFNDGXik7bolMjEN40y91yuVKQduVTplB1AsEogdtmNsq6HmMa/uWW2JD5DyR9ZZYDI1tnqhQoj22GWS/eFNK9e2tCfdcSSsLpqdukvJmDyFt7DlH5fq/Efo1IQ8engf35ztgveEuMLMFjEWCoTM434+Ca2T7VJkxdiMxMRG33HIjOnZMRUpyFyS2bYP0w8fw9ltfYNVKYhxLK4iR6xBFK1FBTFaR2Js/mzZqs2ohsG8xggLQUA3zvqiY7gcfZQKNcoQIsZ+I4ca1qyQJ0SR/Z9eMR9nlO5HcjdqzZPPf+Ln4WwBAbHAn9ftNuTKDv5FvUNO980jRKAfyKpJZsGluy9tIeSsr9glb8sqa6bu5atpz1RUAS/FuxQKwQVU2Eq7Hz/lknw0Ac/ICCzgjruS4NGGo80urD4EO6AeSEX1GtKtuIvuovddFiHn5pdv85jENXyaOVSLrOST0CqmcSegnh9l2b9sYBg8aon6/cdMWHz+BhG/p2EODaRXVZJLb8fJXdA6mLV0s5UWE0DhQcxxfN4BccJ4LDgtMGA7GLGAsFK88nImfP1/pMz5XCtu7C35AXaB3bQINOOOzn3DtL4+iley3MuRnol7wM9E3IFIYVwDA5daIArjrQGo1JOru+OgAMIZzXsoUR4mVjLH5nPO1QpmJALp4P8MAvO/932g4gybZAFAKzo+AMUVyiLFUcJ4PwP9kp6HRq1d3LPlrNqKj5SVKW2wEIq6/FIUvn/7gRSFXXgpriPJgzNl9Atu+Xa/LFZQX2vHnuyvx57srEdohFve8czE6D0oCM1tgufQuIIYG+T/nV79EWzPKwTkHYwyJHWIRFGI1xCfOALg3rwOiYmC7RAmKYWLt4OFFuvt07doVq1cvQ2ys7OzUvXtnTJg4Gkv/XoP/e+FdbFi/1U8NZx769Omhprdv36NTsrFgB+cFYCxGcbjmCeA4dWnDxoB2eb+pIaVjW0REKhPgnJN5yMwIzBHw9MEFzo+qzvS3T5+EP75fZzwPmgs4wOswyfaGR6/yqLd6P9q3makAvvSWXcsYi2aMJXLOq+3EjLHAgnUAFZzzqJqL+eKMmmQ/23UFTJZVuP2Hm5HUty0YM2HfjnjMmLoAbidd9JNmijSmZTVsgu2zVo9yWCtBsSSbTC20+qZuKOxKQrtYfPnbkz4T7CoED+mPP12DkbtfeWs9UDJDzQvXhNGNtdF2JsgOu9Qp2/aOTqDfmZ3eSsqLfSgeCG0N1ocUNuKdS3Hve0HwnEVv3N1akSbxYHMPqY4+JflY+8zPSP7xTlhDbWCtyM5s+7Y9yDpeCKs5FNvOv0Par9P8y2ijTHjpeU3Q5r2tGxCbAJPJhKiuFkBz25QJbIvWDk5ktkXGo7DMv5271qZZZC6s1lba4iq0CgT+GGutSoWoMBGtUTYZF0Rh7nfY5BWInYXfUR3CmCMyWADg9lA7fFQGBLviv6tRb7vR9ysfODKIOe8Q9ZCU92IKWVE7PIGH/c3cHwnsX42EVj0Qfo6y8sdYN4S+9BJMNis458hfsRNhfyxBRUUFYmNjMG/eLz4TbBGjRo/AqNEj8N9XPsATT/5D/f5EGU26Q21x1e1aa1gFbWyRFfNong1hwkpLafkBKU+8pv40rn2gMTfLKiRlorMFFRUA2MVWoG9fUsbYsHEpyr124U6BFZvrllWYokJJJzvERvdKpnuXVC5FWKXaZdoi5c3sQj4oeVfKsQtmpKWo6WeuqtLMVla2GEsE5977XWOrK8Lpmg9/EO34pfFCswLETORfEGgIdEBmr6WVBc5hEkKAy9r2/m2ytRDrdLrk6Jyi/nI/1ltNi3bXABAfSavpESZlFXJAfyq/cdMGVNiP+YwXH/a4QU0vPEHtqHDI7GuwcDkS4mUd+pgRgamSZF/6tZo+UaCcNxZkRe9Z/4StVRRaJUbjujvHY/3/fSftJ47fncPHSHm7C2llSs9mWlT28bV1FvqJzuqWdvVDHGtfT39BTUeHyc/SEjuV0z5DusTSeGrn8nktsze1lyINTkHCjyk3+CYoa+MzOOdaabh2AMQHZIb3O38nxQWF/dY9LIBfayjjF037lboB4HF5MOexX+HwRhvs0ScVkx8ZXcNe9Y/I6DDMnP0IEtspk7WS4jLcccNz+PHCt3DkL5r4Db39LH9VNAySR6lJnrcfKDriv6wfFB3Nx6rXF/l8v2DB0lNoGIA8mlB07lbzAqOBloPsN74G58pkhDEzQlMTENwuDiFJ8Wh39XlYu3YRhgwZgNmzv0DnzoqJQ3l5OR588BFMmXwdzjl7Mj777Fu4XPRAfezxO3HLLYG8PrRsxMZGoW07xYzDbrdj3779NezROODIVScojIUAiG7U9tQV4gS7KaLPAHJk3LRxs07JxgN3OHHiiwXq9nUPjUVsbIzOHgaaCjgA7uY+HwDxjLGNwucOn305d3PO+0OxMBrKmPAGqaC6RXc9+74VnPNlNXyWAlhVpx+Lls5ku+Q31LR8r4Nefgbusx1FlaHwBfeeBefOdBxZoTBIn2aTlqsYUQoALIJSQV6pzII+uotsOkUl18SYJ6VyUaGx+PTbx9Cpm8LyVlZW4oorbseypWuQF34dNry0DK+OUd5qe0zshfzP5qPieAFuaXOPWsfvZbKmZk9OgSTSQC93rx6qTntWwTX/+Vza9gy5DmaT4qzIPW5g1Y9AsZeVFeb6MR5iSOPDZOboz0yFyfjzjdVodXY39BpNA/b1OUW4ctwoAMB/02SW9Q0hXfEIMRKTfiDG+HZzPq5/xHvcFF+dTT1GwiI82Cw22S600kVMQGRIezVd5pC1TysFNtzpysWpQs/GO1/DsM8XmIxyjSarNvJoFYJt8kOnpJzYLj3G7MdC32ion+NZv21V21VAdt2zesoRJRdl09h3ThtZh9j1JKl6iJEhASD1D1KhKXjsJUQ/+zhM4b5yfj17dsPq1Qul76bf/R4WzjuGzHLFh2Dzpqfw9htf4n9vPYPRoxWfg/fefwcnjzOsWbUFuyaSM7TJLI/Lcd/4d/4SbSJbB8kO1WIkzWsT7lbT73wrr2J0nCza7x6W8sSnhqNSXiWxWoixF9lMPVvSg0w2kxnah9q/fftueLhNFWoQV2UiQmV1EZew8pLjov4ZbZJVEtYWzVTTUaGy/ehDB4ghfUcjyZbnoGswo6+igz7qXyHoe7ViL7zhZ4ZPH1gG0Ufh4z6PI1DI2thiVEf5vokKIcY+p3iDlNcqkmyXb4k7X8p7+dALqA4ed4nkRyFGGtWubsm21XIkVvF6p0TLxy5wUh/605mmps+LekAqt7aCbJUTvExqv37Uh7P3hqJHzJVwMnmsev4ojU+XRVPQmgqXvII0rQONmTHfaFZ0//Wpmn6xm6yf3j2CxrRjFTQmr8uh7027d+LlqRno1CUJ4VEhuP+BG/HUU7IPUhV2F3wvfyGs9OjpWIv9X9TDBwCusyIn1umrDELX8aEkGhO2F8jlFlSQjbZ2ReNg4R9+2w9NBMsmhyrHR1/kcs4HB1QF54WMsaUAJgDYIWRlAGgvbCcB8Csfwzm/IMDjTaq5VPU4LUw2Y+w1xthhxhgX3zwYY10ZY2sYY/u8/7sEklcf4Mjw2mMrGPefixGeEKmzR/3htXcfxZBhtDx76y0PY9nSNer2wS2Z2LpUmfAzswnJ1/qfKNcb4hJhYsIDcN8qmmDXEV8+Ohel+Qr7ePJwHir3Ha5hD32k76UBu3v3+ukO4gTbQNOG+1gm8u9/HAVPPIeJIx/C2MH34V8PzUR5md2n7KvPzsLCeet9vj948AiuufJ+bNum2B1brRZ8NuslpKS28yl7pqB3b7qXtm3boVOy8bFzDpmbDJzUEyGR1evyN2Vo5TmbEhhj6NGPXip2ph3SKd248Lg9eP0lIgRuvPF6H8dLA00QHOAu7vOpCYyxVsyr7cqUpaxxALQOJHMB3OBVGRkOoMifPfbpwulisn8B8BaAFZrvZ0Kxq5nFGLsOwAcAxgSQFxgs8s+7PFneVtRGBoOxIARHh2LK/y7F2rs+htVCTFlhqXwNO8bQC02ZLbDQwycKXkKQbRoA4J//fBRTLyXzlN9eWIC2q1vj/rY3AwCmtFPs+s0/LwFGKcxO0tRBaFfwE/7+Dw0gBfnp0jG2C8Zvoh3lSz2WS+Uu6UAM7LnrFHYuKjoCC/96Dp28b8R5xwrhfnk2eCmxUyMeIK6ZM2KRS5yybfIlHcjO7rL+acDL/4J98DCEbtmER9eSfdvnm+UVAu6hN9uQmcRmLrtnOxUKod/Yr/cAxEX0l+oQVRPK7XLEO5cgAejWMAsi05Bfsh3+oKdrrcccijZ5onaryy1P8MXIclobvFIhCplWT7VDBC0zXBVD9q//OfxfTTsEjXeP/FviImi//iZZ5SFQfLiNHs5nx8se7tnl1Ge2Fcrn/yGBvWb5GrvHWJqQxH5LdqCbvKtD2/dvwpLlf+G7T99ASn/lvMz9cjV+fmsd4qCsWBwUzl1sRB+4HMANV0/Hwr8+Q+s2cYiNjcLcH9/HjaPegr1MYWf/KhLXVmRobSzjbTRJDePRcvsFVmxOCSmstLpZ1iIPAfllpEbLWs+HCuapaW0fFNlMX0aLEB6SqqYnhMgv7aI99tatm+HxULROsV+LSiwA0CuK/Cj2euiFxqJR/rk1kSLcbqiQ/QnsgtP51+nyCsdJIYrhU0O8qzeeo8jfMxmx3RNhC7Himut7452naFy8YfMo+EPhtbIijcVC57zSSeOiNqrmSWFbyzSLzPbbmkiBIUFk0mZ3kJ+P05mHkOD2wjZdU+3qlqhQUmZPl/LEa5NZIjPs54XdpKbv7k7n9a9s2Q56UuLtajo1zIXw5DiERyj9O+dkPnZnpAEASirl3yaqznyeT87s7SGv3q8WfJM2CQpDAJAcRquZDw49KOV9kUa/2yR0+RGtrUgXgsl+9ePneO7lO9CqdRySkpIwfvxELF68FIB872l9mOyVNM6IzwYA6BozTU3vy/9JTXu4PG6JEFeUlDoL1bTWnl3sa68eptUOi+C/AcjMuVabX+wn2vcKs6aPNrnYijywSXU1SATwhdcu2wTgB875PMbYXUq1fCaAPwBMAnAAQDmAm6uriDGWAuB5KCFlX+Oc7/Z+/xbn/MG6NM4fTstrH+d8JedcGl0ZY60BDATwrferbwEM9L6t+M2r35Y54eE71eiFMX06oPt9Aa0e1ApVE+yLL56C55+n8LRrvt6IlZ9VH9K9aPNB8CyF+WVmK1j/cXU6ttlqRr9L+mHKy1PRdaxv4AeTyYQPP30RnTorEyRHeSVm3va9NME+FfC8PDgX/AF+MrAXEl04SFKvQ2oCrNZTf0esjSOTgaaJQweP4eVpn+Lj++fg0wd/xqsPf1/jPpkZ2bjhmulw2r1OyF1a4Y5n67wi2KzRszdNaLZu3aZTsmngwC9kJ9x52gCdkgAQChPrBxPrA0un1BrKnh6IE+ymhpju5Fi7dctenZKNA3GCDQAulws//EBSj9ddd/VpbpGBOsFdzacGcM63cc4HcM77cs57c86f934/0zvBBldwL+e8E+e8D+fcX4Soj6HMK78B8CVjrEpHtq+f8nVGY66ttAeQybniyu39f9z7vV6eDxhjd1QZy+fk5FRXRAfF2Pse2XKmXn0Wpkw9X6d87WGxWHDppVPx+efvq9/tX30Yvz73p+5+fKPgGd/zLDCTfyZVi5iYSDz06I24768HMPmlqeh7cT9c/u6VCOkpP2iefvZejB1HmthfPvwrMnbVw4S4IeBxIeOIYsJisZjRsVOHGnYwcKbA7fRg3ZztWDN7G9wBRhPbtHEHvvsn2UxPvX0k+p/bSWePlgez1YQu3WgFYts2/ys5TQXpf2yD26Ewe3E92+Hyyy/1UzIMJtbfK/sXh8jnn0LYzdeBhYb4KW8gpgdNsrdtbXqT7Orwzdc/q+mLL74I4dX4bBhoQqijuUg9w8I5n885XwJgFIC7GGO3oAECZLYIAybO+Yec88Gc88GtWtWe7D789UpkLydHjvdnvozU1PqYwAWDsU44cmQXvv/+C4SFKdqjuel5mHXvj/DUJGNzeBt4qcLespBwJPVtq1/ei7btWuOvlV/in0/fhYjW5PDHTAxtH7sWLEhZMrzsigm4/yFagp//9gps/t2/pF1TwMF9tOzarXvTYKYMNF+sm70V2xfRZOKxdy9HSHjzs/OtKxK7tILNpowHR4+cQFGRvgZ5U0BliR0HfiXb7Bkz3kTr1q01pRQGmzEylWAmE4LPH4vo1/4DS9fOMOCL2B5kirYtbZ9OyaaDtLSd2LVTaWtYWBguuWRKI7fIgC44wF2+n9MMC2MsDAA452UApkExMwnI8bJWB6rvCmuBYwDaMcbMnHO3186mrfd7ppMXMNxPfSptX7vplmrLvbrXjvDrv8ZHy/+BxOQ4REVFYNuOX+DhW6CNrieiY/yr0vYNiX+r6fwuefhh/quIiAhFG0HMoqigDGsf/hrdWSkQLdubAcDwJcSic4sFYHbVCnPQ2I5w71VOQYU9U9rvpJucv16c/g7aJdFB808UIzjchtCIYAQltUbZFZdj19zteOMdmmD/+ccKHPr4L/SOVrbjf7heqv/1YRSta3kOPbiOlsq2YuVu6lKb98jhjz87Pop+G/xj5TnE4PfuIDtf7j+rPc4brywRt08NQV5Jmpo3Joo0j08Gy/ul28mx1KNzR4fZ6GFdotEglpUdAosEBsgmKWLaxGT7SHGk0drXtgonu9lBTJZ1XFVJbGxRJa12XRP/sFRuk5Ok2Q6WLpXbLOgLz8+TbYIDxYYcUpvoGSn/ti5R9HsmhctM4vSO5DcwNE6+NrmV1K4NudRrThS85Lcdnw1YKm33ySXFiaPlspPkS+MPgM1/F3zkS2Bh4UjoEIvfdlyD3y+Qr+/k9XSva02M+pvIDvWOzvK658T19Luzi8nM4XWNSoio8a699mLE0LBgWbpSjPLIpf4j8ycl5XTtfzYR83dlR9JT3rxlvY9vQWwEKUfEWmXt9mRO93e6k4KuOZzyRH0JI2bxvCA5yvE6B03kVlbKGtqthIXLc5YWqulcx3pEPrQIq0b8hKT2iYiPj8dHH36EK6+4E5e3WoLknm3w759uQnRrZZxylDqQuTUTHc9S2m+KiUbkI/fAPs4MeH+vZfR/1Pq5JsKm6Kgo2tMC8r1eYff/eBK1zsvtR+VrLGqaa/SWywSlGa30n0fHz+Sni8mG+txfabzeWiDbpYt4LPVpTO5K1zRqVxzGBytuULOK5fvN46G+NiWSniPrXWlSuV+PkVLL/d3kZ0WIher413K5b/1RRv3p6fZD1bRZ06+/73uVkvjrINBLMYf85JMX8dHHV8Bmpcl2sMbeWfQv0NrBHy6h8Ug/cqNFKCffN+J9FBokq1lVVNJvSI0k/ywHl21hnJz8WrKLZCfua1uTYplWc/+J3vL91/evt6r/AY0EzhtlUq3FAwDC4Y1EyDl3MsauAHC57l51QKMx2ZzzkwDSAFQZUV0NYAvnPEcvr6HaU1pUgWdv/BKVDuXqMxYBxuq2dBwSEYT3vvgnIiJI7i87swCfvj4fV531AkrSA5d/ExVQOpxVM/uSnJyEq66lB+cn03/DfYPewJdPk2nK4BuG49IPrkFIiMLY7d1zGPfc8WwDLJTUP/buosFx9OhRjdUMAy0IvKgI9q9JpYBF90Dc4I46e7Qc9O5DfhrNwR67CsXFpbjvbpJrmzzlfDzy6F144L1L8drSexDdWpnYO0od+ObWr/HNLbPg+vFd8AplIsMiY4BWPaqtu6Gh56DamAiLC0VwhPJMqCi2oyCrpIY9mg4y/9wK7n1BUQIWnTmrUc0RHrfv53SCc76Zc67axTLGnuacezjnNTv01BKnS8LvbcZYBhTNwsWMsSrR2bsA3M8Y2wfgfu82AshrEOxNy8B7/yInChNrB8Z6Agj1v1M1uPPti5HaSTHtKCutwD+unoHJff+J9/7vV+ScKKxlqwrUwaNNn3YIjta3J3xs+r2qQ+DqlZux8LMNcDvd+Pvrzdi8iFijsDiFHSssLMYNV09HaUl5tfU1NSxbshkerxLJueeeU80ysQEDtYdr3Rrw0nR1u+eDk3yiJrZE9OrdPCfZALBs6Tp88hE9E1/4v8cx6sr+MJuVx1pFqQPf3vY1MtMUpSG+eyM8ayiACdoNhQFCtCBhW3ii6ZsNiXDklgAgx3iGNv4LG2hcNA1zES0m11ykbjhd6iIPcM6TOOcWznkC57yX9/s9nPNhnPOu3v97hX385jUkfvl4FTyclnJNrDVMbIh3sl2zw8yku0diyCRiSB5/8G2s+HM7PJ660sQuAIrUGzMxtB/hn11v374tbrjhCnX7vy9/JOV/+PCvsBfRsqLb7cadtzyDw4dkubumjLycIqxfrYRtNplMmDZtaiO3yEBLAT+5Wg0wEdU1EW3O6V7DHs0fffqSNn5zm2QDwL+f+h8OHz7q833a3wfwz4kfIWOLPLZ5Nv0N7lTMQVhEIhBlOE9XIUqYZBedaH7xAzgnqUXGEnRKtjx07N8WsW0jYbY0Azc7DnA38/k0MhqsAc3gipx+cL4XXJhoM8a8k+1B8BfK12azYPwtQ3HVUyS199kHc/H7z1pp8Lq0h0xGks/2P8l+bPp9sNkU+7s1q7dgxXJZvaYgqwSLnv8D3Dvhf+7pd/H3kuolBJsyFvxG9tWXXXZJI7bEQIuCuwIoIsffrrfWTpa/uSExsTXi4hSb2eLiYhw+fGrBohoDZWUVuO3WR1BcrJg2bPlrP56c8CGev+wLHKlOJamiFJ6tQoTkdkN8y5yhiEps5pNs5Kp+CYyF4pxzRjZyi04PQsKD8MKCO/HOlkfw4f4na96hkcHB4HH7fhq9WQ2EpmkcVk8w/1/1jo5aLMnXrhS44eG7AH4UJpYCxhRBfcYsMKEvON8Hjix80aMvTDYL2kwciOQbxiA4IVqtgTvzcOOlLtx4qaKFfuI2somee5CcuZJDZScbli+ERvaaQnDkA1CUNLpd1A1d+6fi/hTZiaRvl3Nw001XqdtpM3bg+tjJeOnS/VI5a5sMeL7aAZjMeOGl56S8tsEUIGPHuF+kvM0F5Pwzto3gPNYG+OoQ/Z5U4ffkOOTgEnowraNgCp8cFFYMDibj04eIqbpmw0CErCQN79GjR6NXx0nIzy/C+0PJ5KXTL7Je6pO9yMZ2xgnZ+cfhLFTTPYLHq+m8UDky23HPJjXt0gSL4UKgAj1nGREe7pQc1ERnGa3dZm4pTf7+hBzi2yO05TvTfCnPaiJTp2BGD1GtY1xhOQWD+GGwHDTiio2BTTZTIuh6JwTL9pxv5lAbS53RUt6i4nQhLde5+jLq5+Hr6QXzwRQ5yNLaEnJS3bBYZqDHPUOLYDty5aAR4uDOO3UCRwlM3A3GzIjq3hYXfjcCKDkC0wDqk1rHx9+KPlTTczdpHaBEZ0S6T8rsR9Eu6mx1e5CVwtAvLXpTqsNmJZOoYdaLpLxFqH6BTy84UnFFOgDgrG4URCd/XyEeT30KM7Nn+62nF+TzGhdMzq1hHgo6khwkm2EwgcuZW/arlCeGZg/VBPQ44CFHQpdTHicHWCiewcLFkwFsh9vD0HeUA31HdQWgmMHclLiU2mFRrjXftBAY7HU4i+sCFPs6v4nQOjv6AzMFS9v+NPi5ztq49r6MDSdHZtHJ22c/jeNdwrdE7sSFkC9PUvQoZBQuVbef6Pi0mi6MoWNvOZwpOeW7PqSgNQCw6zvqy9+l01jVGYNRJsixDY2l3/r3SXLgBYCv8mhMa6sJjjU5cji1JV/Kwszjr6nprUXUrvnJS3HVf0JxzvWKQMQ9d9+DDeuU518bkxwjIhdp8Ac5lDqdE6sl3m85t9v/S4nodAzIzsQHCn6T8pKj6RksjvnaPvNDwQdq+rL2D6jpvOxifJvedCOKAgA44Gl885DTBoPJ1kUpPHwH3J7N4FwZhBkzwWTqDhPrg8FfPoRzFj2HbtMvkSbYntxs8JJ1qHo5EifYdUMJOPcucZpDAGusT4l7H7pKleI6vOkY9q3SYaWyjwAn6idcrjjBbgiIE+wqlGSX4Mgm5QFssZhxwaSzfMoECnGCfbqhfaDWN8QJ9qlAO+lu2XCCQ1CVadMwTKc4wW4s9O1LqigndjdRbfxqIE6wCZUA/E+UJeRlwXNgKwDvPdj13Bp2aDkQJ9hatGkbraZPHi+sU/1lDax3LE6wq8PKr0nBZ+q0CxAf7/usbKoQJ9i1QZxg5pOX1fRXIDgHPG6Tz6cmMMbaM8b+ZoztZoztZIz5RGZkjI1ijBUxxtK8n2eqq6u66mv7OwKFMckOCMXw8M3ggsQOY3EI75QAZqFJJi8pgvPXr1H52j+Beo4kyAWnDoTIetmpqam45kaKVrfgLZnla4nYtYDe8idNOXMekgYaHpwfA/dSLSy0DRCRXMMezRP9+hGjdmJP85lk1wf4egpAho5DEB0d3WhtaSpo3Zbk9rIzC3RKNl1k7MzC4c2KHX5QUBCuu95foKKWg/iEKDWdl930J9kA4PEwn08AcAF4hHPeA8BwAPcyxVlOixWc8/7ez/MBNmlUgOVqDWOSHTAc8PAtkn00AHCPB2XpJ3Fwxh9w/OcRuJf/CWiWNusFwnFZSDsp6/nnn1UVRdat3oa9yw+ipWPnn3vU9DnnDUJUlBHlqzrEt4rB7XdfigGDanbiGznSUFtQUAnkCyY5DcRmNzZEJjurGTHZ9QGevgu8UFmxYJYgXHZZy5+M1QRpkn28eU6yAWDl12TWd8utV4O1cJWguATST28+THbtbbI55yc455u96RIAuwG0098r0DbxMu13jLFgJkazqiNqnGQzxsYE+DnvVBvT9OGGh2+Hx7MHHs9+bLn7fay84FlsuPZ/OPbNcqAywOXKOkCxy/YiqBUiI5Ulor59++Kaa8gW++XnP9Xu2iJRdLwIWzYpbLbNZsX4CWeGk0tt8drbj+DZ/9yDeYtn4JF/XavKm2kxYsQQ/L30V6RtXYbUKQNOcyubIE5uAfeKt7LQNhg4sH+9HyIqKhxXXT8BAwaffhWTkJAQdOmi2Lh73B5k7T2zJtkAgEMU4OPSSy9uxIY0DbSWzEWa7yR709ydKC9S/IY6dUrGqFEjGrlFDYu4Ns3LXARgcLtNPh8A8YyxjcLnDr81MJYCYACA6pQbRjDGtjLG5jPGelWT76/O/2OMDfWmxwPIB5DPGDtff099BMJkLwLwMYBPavj87q+ClgUOjixwZKJo2xG4yxuAta4WTnCH4oDDmAmzZ3+P6OhovPji8zCZlMu4aP4abFy3U6+SFoXf5y5T03c/cBViLh2DsGG9YY6N1NnrzAFjDGefSxPmex65DF/98jxaJ8T4lL3/AcWBqEePrmjVz5A1g6sMKCKHpauuuqzeD/HWh9Px6lsP4deFb+KtP+7G8PNP32S7d+8eMJsVU7fc9Hw47WeQJ1IVMrarybFjx5zRJiOhMSEIDlFIu5KicpSXNhxh1NBw2l1Y/9NWdfvW269pxNY0PKRJdjMwF+Hcr7lILud8sPD5sLr9GWPhAH4C8BDnXPuDNwNI5pz3A/AOgF9q0bQbAVQtkT8N4HEA9wJ4sRZ1+CAQdZFyznmN4c8YY03u1VcM1wwAN3UiNrj3tRRiyHOT/6XCw5N+lLZT/6Com+eskMNPZ13ytZp+rCdpzq5yySHQYwT1iRAua297ptLgMHHNeCmPW/PBoHg4jx8/Dtu3bUNSeyUMLvd4EPPNWszqORDnfkBe0O65GgfIRykE7pb5UVLWA1tInaN7mDwRe6QXeVJ3fZpWaJ6aekAqd8Ga69T055rw1v/uSh7vd/aU9WtXZ1LwgLEJ9O53zzuyPez7x85R00+fvQ3wCqT06NkR6Kl0U+52A4W7gJyNgFc1IM9evUOO1SKbmazLo1UB1+OfSHk9PyGP9xJ3lpSXW0ION3rKDhYhvK9Zo0bgqKQ6td7kJhOtWsWFyp7yFa48NZ1fRgGHUlLaICRUPsaws3rh16Wv4uVLvsOxPco1jW8XhalTJ6pl7nvtS+xLlx1OZa2W6vFzyWo1nbN3mJQ3IIp8FzYVyoEuLCYahqbGt5fyXhZ8LufmU18ugnz++zJ6mXjmSlnZ5NL2dA6095Q/eHr2AJgdVa2+7qrr8d2Lu8E5x+YiWZ1GDKns0ajOiCoxHaNpvHh97BiMGU/mOX1HdkTfkR2xc9shTL1kIdLTj6h5TheNW8vKKDIlAJgYKXyIqjbhIalSOYeThufY0C44awi1ZfnmtXgr8zMAQKtQOQpiZjFd0w2WNVLeKDc5b5YJChztbLKZ5JRW5EOyt0i+vptc1F/35svKJhfHPqGm3UK48Tm54+APs4fITrr5lXQfDXhNHgO2feUALzgGFtMeVqsVeXnLwZGNhJjHpXJ5xRTuXascxIT7sk2kHDI+Twh5r6dQIo4JWpUKUVGE6fhmRYbIj2i7i+6xrFKqI1xT7ocC5bf1aJeifnc04xh2VsxHFL9S/e6dN+SgXzcPpXH/2VF0rP99Ldf//RG6Nyo9csAzs4n6bhCs8If9pYEFSosNovOz/cctGHWLMgZNm3oBvnpiHfKzaVywmOnZV+mhZ5sW4lju9tilvNBgIiPK7fJ4KV6rQdG3SXmH3BQyPiGKxsn0ggVSOZOJ5gbafif2J3M89ZmlB7/C9jwfy4cmB7enbpbKjDErlAn215zzOdp8cdLNOf+DMfYeYyyecx6IRFAk57yYMRYGoB+AMZxzF2PszTo11otAfum0AOsyjNoaGBzH4fHQRKNqgg0A2Qu2oOxQVnW7tVjkHCnAtsX7fL5nZjNYXB+gy9VAbG+cqa4HvXvTSllubi7cbuXFsnXreNz15lTVVvGCW4fCYlEmg8uXrce+3b6KLmckeIGq6tOmXQwGjOhcww6Bo8fVw6r9vlffjnjsMR+n+XpHrz4k37d9+26dki0cWbTyx1irRmxI4yKxHREzmZknGrEl9YOT+3PAC5QXVWYy4eLb6q5A1dTRti3NA06caPpzAM7rppPNlAfWJwB2c87/56dMgrccvKYfJgB51ZWtBnmMse4AJgJY551g1xyBsAbUOPvgnC8BAMaYmTH2PGMsyE+5M0nnq9HAcQQez05UVNBbdWWlE0c+WdSIrWo8zLjlO7x5zSx89+8/UTRvOez7iAFk5mCwhLOBxDNTfaRXL2Ilv/32B0yaeDUcDoXZ7zq4Pc65rC+CQq0Yd/0gtdzM92ad9nY2XXApKNWEy+vHATImNgKpE0n/eNn0H/DNZyTzed55DS/v16s3aY5v33YmT7J3CRuxABpWkrSpIqEtaStnZjb9iVpAyKDYC5fceQ4iok95vtQkkZhIk+zjx4/rlGw6cHtMPp8AcBaA6wGMEST6JjHG7mKM3eUtcxmAHYyxrQDeBnAV57z6ZWxfvAlgE4AvALzn/e5cKA6WdUbAFB/n3A3FPsVZU1kDDQuOHFw04VZkZiiD4euvfgT7iSZnrXNa4HFz7Fx2EEs+XofcGd8h88FXkPXCB+CVtITJYrojoXMdBPqDQ2C55CbYnpsJ89Tr67HVpwc9e9Ky/Y4dO7Fs2Rq8/dZH6nfX/ns8xt80BOExip724UPHsGB+y5d/rA24hxwCx04dBIv11CdhV944HhZvIJfcXZk4smgnXvjXJ3A4lKG1e/euaN26YVnVbj3JnOSMZrLL88GLFOaWMRMYmnggjwZCYltisjMymsdErUZk7wYvzQEAhEUG44p7W542Q0hICKKiFNMXh8OB/Pz8GvZofHBet0k253wl55xxzvsKEn1/cM5ncs5nesu8yznvxTnvxzkfzjlfXVO9Qv1vA+gPoDfn/Bfv14cB+HXADAS1XUf/AsBdNZYy0ODYsnknBvWbjP69J+G/r1TrH3DGomz1VuDg9+ClFDFu7C3VL8/7Rxxsj7wM84ixYKFhsJx9PgYO7Va/DW1g9O5Nk+ydO5WJ1CuvvIvjx5WJY2xCJK5/lhynP5z5LTwe//bkZyaKwLmyahQVE4bhY6qTZQ0cFosZ195CwVT2fKPYZzrsldi2mUyfzj674RQRoqLCERWlyH5VlNtbDnNZVxgmIy2TyQYHDhNpcMmd5yAypn4CdDUViCx2VlZzuW4Mbu77aQrgnO/nnB8WtvdxznecSp21Das+FMD9jLHpAI5BiPfOOW9ya/Inyt3S9uu7otV06/+j94uXbpL32zBqnpoeerU86WAbSIPTM2SQlJcw51o1XRRHwQ4O5U3320bTgiXStucC/1Gfnu9GjoNdLGcDHgCZQBdLR7g4/R6PwGCynvKkQIzed0EPmf0uTyMHsVFtIqS8nQXRarrzenJ6WT7Vv7rKZQNkp8uHF5JTTNKtciSuy4eRZu9nF9ASrlMz57u57VIqd3yUlGdaQ2o+jo9XwNQ5D7a7nwQAjLisL978928oK7LD7ZHbPDniZjW964K5aPfwlYid2AeIlo/9w/d3AMeUZf2gAXJIej1nRxFiqGWXq1DKkyNAyu+/otNNQYUcrdNeKTBP3pUxs9mM7t3ppWDHjm2orCxGfj7w5BNP4osvFanHKmWakpISzPzwfyguL4YHdZton2clx1CbWR40B8XSvXisVH7QlYnnRHPojXnk9GQDOZn1QD+p3L/6kBrCgizZ2bNbb/J5MW3bLuUtvIvsT+0CmzL5WzKnQGw8EKOYd7z2yAB89YfsHNjWQqYf6XbZOTDYGq2mTzr24JKLJqgTmpKcUiyasxfuSgteTOmH0N15gHduffZZQzD7x+/gC03YdtB5DbaRg6E2mqhbOMfhrSio1uH0dITYyMm5zJUj7dc5ihxiy7k8Xpx0UJ8cbpuiptsFy8vye4vc1e4DAEODqY+Oa/+0lPfyBFJ32biTnK3FcRCAFP77txzZia3YRMxeZ08nKe/1x5T+FNtxH26ZpzhTuuxR8JiLUF4uBBMTdZY1K8+hQdSunFJZ2UnrBCu3mRz9LGa6H2wWWRlJdKjTOr+JqNQcy2ah8dvuoPGhVDPmlHrHkug2FJrbnNsWPUIvwDGWrn43/7h87h7/5m813TGMHv2JnlKpXBsb9YURrWTJ4ZBcuo9cJvm3dRIeP2Lk2hUVskP+QUYCAyM1U5DKBfsBdgDWR4bD1KYdwiKD8cuh28D5YYyMo/FiQ6FMUumdZxFaZ0cRosNzO5P8rNvtIAfMIDNd7zFR/5DKLSuldon9BQDMZuUEtW9PTvBZWSdhNofh5ZQxUtmbtsr3S2ODo+6Oj/UNxth2znmfAMqlcc771+UYtf2lHwG4DcC/4SvrZ8BAk4LnwC54Tihsdkh4ECZd7xtsRZxgA0Dc5JGInUisd5XjGwAgMhWwyYosTRWdOnVCUJDiPpGZmYmiIjKfmTXra+zcmC6V//zzr1Bc3PTlnxoDvJReasx9ByFUo9gSEmrDTfdPxFW3jkVISLB2dwl33U3qO+u/2QR3JU1Aczanq+lzzj0HDYWUFFLsOXLEcHLNP5SLgoPKy4U1xIbzzx/VoMfTTpiaApKS6GWhOQei8QHncC/6Wd1kaIfac4tNF20TE9T08ePNg8lWzEWYz6eR0JkxdjVj7Bq9D4CUuh6gVr2Nc/5FzaUMGGg6cC9fANOVioTStDtG4qf3V/otaw2yoNU1JA/G+Ul4+D6Y0AOMxYExBh7XDzjR9O2We/WS7bFFcM7xxuNz8PGShwEAHo8H777z/mltX7NCZQE8xzNgapsEFhSE2+64Em+/qQyFERFhmDn7UQwcrjBK1947Go898gL+nL/Up5qxY0di2PD+AABXpRsbvt0k5edsPQaP2wOT2YR+/foiKipKejmqL6SkkPTY4cNHdEqeOUhfsgsxnRSb3YsvmYhffpnfyC06vUhKSlLTzTWkuj94tq0H52VgLAyMWcDQvuadmgkSEkn6tjkoi1ShqZiHAMgG8J8AytX55Naas2eMtWGMTWaM3cwYu6XqU9cGGDDQkHBvXg1epizPJXSIxchJ/m1qx143ENb4aACAM68IHr4HgAseTrbdiOkOmPXZyqYAUb5v585dPvm7Nh3Bm0/OwfEjeXjv37/hwIGDp7N5zQ6uDeQ/8+/nH8Rz//cQomMi8ePPM9QJNgCkpCThx58+wLffz0BiW9IWjoqOwLvvv6Bub5u7HaW58hK/q8yBgr2K+YrJZMLIkQ1jl52cTJNsg8lWcHgh3SMXXXQ+IiLCdUq3LMTGxiI0VDHJKC2pQFmJvYY9mhk4B+fp6iZDO9iCWgabnZhAk+ysrOYRtZWDwcVNPp9GaQvnKZzz1AA+dY4UVqtfxhibBuAggOcBfADgfu//5ie9YODMgMsJ9xqyQ7/krurl0axBFlz8ENn05Xy3BGT/WgjOlYk6M1mAuBpNuBodPXuJTo++k2wA+OH9Zbis3/P45h1DfbMmOJcuhPso+Rjc98AN2LLtNwwZSvbYJcVkP37R5HFYtuIn9OmrTMBf/u+jaNtWeSDm5OThz1dlX4wq5GwhZvncBjIZSU0lcxGDyVZQsD8beXsVsio0NATTLp5Ywx4tByKL3ZzDqeuBIwecK3b2jFlw9oSmP4YHgoREepE/caK5TLKblLlIg6O2rw//B+BmzvkAAGXe/3dA0RY0YKBJwrVqCVxOxfa131kdMXBgX58yY68biNhExQnFmVeE/HmyAxsX2ezY3ggJadqaq3rmIgbqAIcD9jdehGsrDXWRUeSd9eJjX2HSwOn44nOKEJuY2Bpz/5iJ5/7vAVx2BUVYfPD+51CeX30Uu5zNNOk959yG0ctOTqblcoPJJhyYR9F2r732zImtJttjFzZeQxoYHDQJnXSVr39Oc0SiYJPdbNRFOJqsukhDoLZrJh045z9qvvsCir3Ko/52Yoy9BiUiZAqAPlWSKIyxdAB27wcAHuecL/DmdfXWHQclYs8NnPP9qAUibfI7xIM9SWXg7d0k1XRvh2VSuRJnmJoeMUNW2bh7m6woImLWwKVqOhfkRFZwjWzKvmQ/PeScGi/bK1Z8qqa/my+HRv48j8T1xTDSABBtI2/48tupDmaWPaXP70aXPOqrm+S8LuSFfKRc3u/SZAqa9M8ZtNycqwlXLvppf7VRDrF7aXtyIlz9mqz84nBTWPIVJ8kco2e0fPP1jKQ6Xu4h20bfNZCYxgPH20h5Bb02YcJlysD63HNP4LJL7gYAfHdyDAATTIycHc0xJ9Hj9wuBEvIC5ygFj0gFM4WAWUIw/7F3sP8nmnDdsYv0p10u/2yQGMuJMfkcgNM2hxxW3e0mr309JZOgoERYrVZ060YmDPnHI5EYfRbsgrJAmn2utJ/FQl778bYuqAvMQlfOqnBIeYuOk7JAx0jZ8ctTTN73xU65P13egc6Xi5NcVfsQWSFmTgZ56f9VkCnlDVlP/XU01kt524vpt17XQ1BySJVDd2/f4e1PW77DgMezETRxErXfsxdPvNIeT7zSHlHht+PHH37DrG/eRXR0JMIjwnDP/aQ6NPubxViz8BAu6CArDvSMVsYL8yFSixoyeAgmJDyGP7P+q35nNsmmSpVCX4gLoYiUGYVL4Q+iTfbBg3sQaiZWryuXx5UtlaSSdGnkxVJevoP66BYPqTyUVqRI5eJMZHpRzGQTmUJBaWFj9kdS3gxhs1/MjWq6CLKiVmElXbdpEfLkOC6YFFe+LZTH+TEg3eSxSdkwb/kL3D0ezGzCeeeNQO+uw5F5LBsnBHUOLcrt9PLt4YGFkPBwpxR2265Tv9lMzyK3jlpJVLBsZ3yyZLufkr4Qmew96WnYWfobAKBdOE1EN3uWSvs4KmlCNy2JVtK7RMhj2uoc+p1b8+W8lS5SKLkgWL7fsgRxl6OldF7f6y47qs9Kp5fVvUXymHDxx/S7+s9ZgdgOO/Do3/cBAM6+oDdW510NwInw0N+k/dxuMpfhgpqPVg1KhNaZNSSYXlzGJMqqKr/tpsl+mI2eUxtdf0jlPB4aQ0ODk1Ad2goSfjnZZbBZYvD1kaZt7sPB4K6DeQhjrD2ALwEkQFlm/pBz/pamDAPwFoBJAMoB3MQ536yt63Sitr/0JGOsqlekM8ZGAOiEmsNk/QIlck51a5OXCcLiC4TvZwKYwTnvCmAGFLMUAwbqhE9emw+3Wxkwx59/Ds4+h6L3MSSqk1/OHeCoLqwwB3dT9+04sekuN3bunAKrVRn0M45loay0ooY9DAQMD4fjh+9Q/t67cG5Yj/K33vDpL0uXrsG4MVfiyJEM6fvMjJN4/kl9TXt3URmO7FEewlabBT0Gd9AtX1vExcUhIkIhDkpKSpCXF2jE4ZYPd0ExKrZQYJ5LrxjfIMcRJ9hNAe3b0wSuJYRU94f8owVI36i8kDHGwNC6hj2aPtokEFmYlZWjU7JpoY5MtgvAI5zzHgCGA7iXMaZ1spoIoIv3cweARvfor4uEX9Ua5hsA/gawFRSCslp4I/Uc0ysjgjHWGsBAAN96v/oWwEB2pkYKMHDKOLz3BH7/lkxA/v3sg95UJBgjDVjOj0KrRazmubNQFaG1zcBkhLSKqLZcY6NnT2Kx9+w+rFPSQF3h2rAeFe+9C1falmrz9+w5gNGjLseWLQrr6na7Mf2+t1BSUr2ZiIhtq+ma9RmZqlOy9khJSVHT6emGPbYWZX+tVdOXX3m+TsmWA5HJzsxouZNsANjyM624MJagU7Lpw2azIS5OWYF0uVzIyWkeL8wcgMvDfD417sf5iSpWmitOUrsBtNMUmwrgS65gLYBoxlgiGhG1mmRzzl/hnP/kTX8JoCuAQZzzp/X31MXXjLFtjLH3GGPR3u/aA8j0hnKvCul+3Pu9DxhjdzDGNjLGNubkNJ+3OQOnFx+8Mg+V3tDVQ4f1x933XAcT660G7uC8zA+LXYVKwKOYgjATQ/K4U4v+11Do2YsCfOzbk954DTnDcTI7F+ePuxp33vE4zh93NVYv31rzTgC2rSZd7j4j6nuSLTo9Gi9gWpSv3YqSYsUso1OXDhgwqEcNezR/iDbZLZnJBoDtf+yG02vmxFgEgOYbAbJNm3g1fTI7VyWAmjq4f5vs+Kp5nPfjN5w5YywFwAAA6zRZ7aAESqxCBnwn4qcVdZHwMzPGzmKMXQ5l0ruvpn10cA7nvB+AIQAYgHfrUgnn/EPO+WDO+eBWrQyy20D1yM4owI8fk13my68+AcYUeznOnfDw7fDHYleBe8gWMfWCXjolGw89exCTvXd3euM1xAAqKuz4etYcrFtXPeNdHbavoclvr6HJiI6Orrf2pKamqGmDyfYFdzgx79el6vblV7V8NlucZB/LyNQp2fxhL7ZjzxKasjRnNjtRUBbJyjqpU7Lpwc8kO7dqHuf9VGtbxxgLB/ATgIc459oIatVR4j5vH4yxm73/kxljixlj+xljqxhj9W4HWivHR8ZYXyj21cFQ3hCSANgZYxdzzgOjaQRUmZBwzh2MsfcAVHljHQPQjjFm5py7GWNmAG0hv6HUiF2lciAHM6NzvbOkUE2PbiWHahURZpGvz4Mp5Gz3VrocxvXqi4iB+noGOdycyJFP8xX307G/eztaynvsa3JeurFjoZR3aJP/8Oy5V3ylpk8eJ0ejVVnyS8ffWfRe9blZtjkMDqI2/z7war/H2lFAjhUnIbfx8wFL1fSrx9dKef9KIt3fG3YvlPJe73ihmk4KIxP/H7NkZqV7Pg0sV6fIznWlpeQk9/VhOTxxsllRA1n89gZMuX4EIiLJochV6cK3N81CxuZjeHAc+dZ+v1IOJbyt0ISwmBA8t6E7zBYTWvfvgD9cVpzMKITLTQ5cug5Qbv95JhO132qWTVFcLurLbrc8roghfK3mMPTsSUz2th3bVIfHdtb+6velVnICBgATyHEn0ZPiv/06yKwg2++Dpj1S3lAhIm2pxrkxxkbH3lUkO3f9XELDSokQPr64Il0qJ4arvyhGvk8SQinv+AH5vMbZ6KXq7TRiefM1ztB9Ymi/mEy53508lxyW3ut2jZT33BFanj4/jJwK95bIz4JXjtIKXCn2YM+uw+jeMxXBoTY88ODDePHF1wEAY0Pl+uc5XqXfVrQKNUE0Fzl69ATM5jDJSTI5qrdU/vZWl6hpt+ZRlRxO1+3ISVqR7WCLlspFWmnMMdvlvCI3ncvIsG5SXnHZXjW9tYCcxydFPyaV2yX4lZ2wy05fvWNIBSgnQ3aYfP043Yv/uJOc99pfTM+DG2+5EHffF4bKSsWpjplkVSEu3OtmTZ72PlX30QnbrbXXFp0dtXliPUV2+dFotdAzYFAEjeXrC31dm9q3F9VmDsLlPWZ64Z/q9xZztLSP6Oj3WwFp7LfPl1fmt2Ojmi51yhJzMTZapTlhl/1GNlaSP8Pugh/U9ByNRYR4ThKjZcnLkkp6dqzKpj548LMsfD9pBgAg/3gUKp1Z8HiqJ1fCQlLUtDjGKNvUd7VjvttDTpjvnpD7nc1K/augjJ43Zm38BcERvq9tkpSVadqPLh360fbxTFR6He53QH7uNjVwAK46ku6MMSuUCfbXnPM51RTJgGzxkATFCkKL6wF8BuB/AF7hnC9ijPUD8DaA0XVrXfWoLZP9KRQnxHac86FQaPh3vd/XCoyxMMZYlDfNAFwFIA0AOOcnvemq0eFqAFs454YtiIFTQnFeOT6Y8YP03e//nIuMzYG9v5UVVGDfKnqZGjWtn07p04+gIBs6dVYmix6PB/v2GiYBzRHvv0UiTg88cCfCw8N0SgcOkck2NLL9wJ0H7lFs55nJhuuu8084NBeER4agXUq8z/fR0dEIC1P6VmlpaYNEGG1qWLxoFYq8gaDi20Vh9OhRjdmcOqN1G1Ioak7RHhV1kdo7PnrniZ8A2M05/5+fYnMB3MAUDAdQxDnXs4GK5ZwvAgAvUVzvXsm1nWR3BfAm9xr/eP+/BcWT0y8YY28zxqqY78WMsZ0A2gBYyhjbBmCHt+57hN3uAnA/Y2wflKA3d9WyrQYMVIsP3vsBW7fshdPpwpJXFmLXvB017yQgbR7pTo++pGlNsrt0TYXZrKwEHEnPREVF05ZzMlA95s5ZiiOHFQImNjYGd955cw17BAbRJtvQyPYP7khX048+9g+YTI0Tka4+0H9kJ/yy7TnM2fIsfvvtFyQnUx8QnR4zMvxLCbYkuFwuLPuJVsguvfQSndKnF/3798a7M17CRRfVrGwjTrKbS7THKtRRXeQsKAz0GMZYmvcziTF2F2Osan74B4BDAA5AEeq4x09dw71zy0GMsVgAYIpzVqSf8nVGbUeOPwBM0Xw3GcDvejtxzh/gnCdxzi2c8wTOeS/O+SHO+QDOeV/v9uXiGwfnfA/nfBjnvKv3/169YxgwECjKSiswccyd6J58IdZ/Vvulte0L9sJZqTjPdB/YHm1T4uq7iXXG4MEUaGfXrgON2BIDpwK324MZb9KKyz/+cXe9BEASzUUMJts/eOUR1RSkW7eumDZtciO3qG446+yhePOHexARpTj4XXTRhdi5cyseffRhDB48GFOmXKSWzcjI8FdNi8PKuUSsXHzx1CbxEnXBBaOx5K/ZuPXWa/DVrHdRk39Z6wQyO2lWTHYdg9F4VeqYd85YJfv8B+d8Jud8prcM55zfyznvxDnvwznf6KeuUO/cMpJznu/9OgTAnfX2Q72osWcxxr5ijH3JGPsSih72d4yx1Yyx7xljqwF8j5p1sg0YaHKo0ARMCXi/Yjs2/EXOM6Mu9o0g2Vg49zwKILFmlRGItTnjp+8WIzNDcWhq06Y1brvt+lOqr3Xr1ggNVSZbhYVFZ4RpQN3hktjs6Y/7jbXWZHHWWUPwyy+fIyQsSPo+LCwM//3vK9iwYQ1efPEF9fszhckGgN1rj6DgpBLgKyEhASNHjqhhj4bFFVdMw4+zP0JoqPIiHRwcjOHDh+nu0yaByJ1mNcmGYpOt/TQmGGNPc87LOOcbai5dOwTi+Kilw8S19V0AFqCJ4roOUdL2G7vobenceEofKZUjUU3vna+m79ggvz8MixacJN+YJeWtW0qeyr/dRl7alldulcqJLhZX3CC3+QohvWv8L1Ke6fdFVMeF8nJSZDtytHjhZ1oO3KfR5bUK71X3JMnKi52FhZLvjsi9Pj6YbEK7RlFeVLn8tn35QLJXXpY9XMq7LY0irF14sezF3n7ui2r62BRaGi/eIke6ChF67PgLZOblqVnkqPjqpXJw0KALyaLJM+ZZ+MPlrciBpXWI/HbdL4Z+96qft2PkBEXCb9xlAxD2KrXT4ZQnL5XOwDy/RUcaJ5f7ZIjglGoxy4xmhYNcFUYLobiLVwXjLCs5lGZxikR53C0/UO9rQ9H8/s7xH7FSDzkm8kpycrnftQmh+yhUM+qIUUMHxMq2x3Gl9KCZW/6lmu4ZJS/xnhdO0UUdGg+9eZk0yQjS0ArhViprEi53fLBc8K6tslOViPti56vpyzvI+y07h+6PP9Ppzv/8iNxHLoknx7vn9tGxGAoBb9CMRx65Dx1ndFad8ADgrKj71PQuN0XQc7jIERcA4kK6oH9fciw8djQLUaHKOSssoyHeyWQHrnX51M6+kfJ4OjuHzE1COV23KZrgdH8ep3Oc75b7xR5O2vVmJneMC6JpYpvFqI8fgzyh6MFJEGBhiSxIsKyCHACnRskkVbqbnH9ffZ/G7kfzZiuJsEiwh18Hs9owZMggVLpWAxpH767xFHCujUcOHLS2eKaaDra1lfIqHNWzxnGRcsTN3GIKVqfnMFlul01/hg8bj19+/UK15c86cRLTp7+ARx69Hf36VU8KbN18WO0TAPBrP1JWOVQqS929cZTaXyRcDyeXI+3m2alvaX+zOI6lW+SIieUeGoPiIweq6YIyeUFbjH7blQ+U8tpHUJ9cWimvWG7lm/DHH8tx7U2KQ+GN1zyA9B1KG44XkypcmcbBOlCIUTx3PSWfu7iXFSdqs9mM9ikWTJ58IZ5//lkfNn3YsHOxYIEy59tULvsRBVljENua+nZ2VhHMJuX3VupEBm0K4EBTDKM+GcALNZaqA2qcZHPOn2uIAxsw0Jyxdv5u2MsrERxqQ2qvRAwbPgDr1gYu09YQ6NGjK+LaKBOhwvxSpO9sPuyGgerBkYUTJ6KQmNgG7dol4oEH7sNrr/nz+dFH+w40ATp6pGVLtdULyorh2bwc5mFKyG8T6wAPLzzlav1NsOsT//zXQ9IEe8IFV2PfvkP49ruP8cAD9+G6665V8rKycOJEFtav34Cff9BKDrds/PHbSnWSPXHy2Xjun6cnOGDXbh3xyqtPYPiIASpzXYXS0nKEhyuT8gED9dXkEhLIkbX5Sfg1dgt80GCz/kDMRcYE8mmoBhow0BRRUeLA0h/T1O277r6u8RrjxajRxGJvWXWg2QQnMKAHD15/bYa69fzzz6JTp05+S+uhfQdia48ebdlBR+oLnlXz1ftI8Y8K19+hiaBbN+oj1113H/btU1YYXS4X/ve/NzFw4BAMHDgEkyZNxq233o4PPvgQTqersZrbKFizYisKC5QVn3ZJrdFvQNca9qgfPPPvBzBm7EifCfamjTtw2bS71e2BA/2bIVosFsTHK46PHo8H2dnNR3itismug+NjQzerQRCItf8nms+fAOYDmOX9/yeAjxuqgQYMNFXM/YiWuqdOGy8FB2gMjDrvLDW9YYXhJ9xS8P77nyEtbTsAICQkBB9//AEUNavaIUlkso+eOfa3p4TCXHAQS2hiKY3XllqgbVt6odq10xgLqoPL5cai+WRGMnGKf5Ow+kTfvmQalpGRgZ9+moMHH3wYUy+8DRvWb0NJsWIr3qZNKyQlVR8RvHXrONW8JCcnD263u9pyTRG8GnvsxrbJbkjUOMnmnKdWfaBIorwDIIZz3hZADBTx7o8atpkGDDQ9pO/MwnavZrbFYsGtt13ZaG1hjOHc80aq25tWnEogVgNNCS6XC3fc8TBcLoVpHDXqPNx5p9+Iw34hTbLTDXORQMH5UYHNjkcDqHzVK6KiolRTkfLyChQWVh8UxwDw5zwK4DRp8mmYZFusaN9Bsc93u93o1KkbLrvsSrz99jsoL7eDc460tN1q8QF+2OyEBPL1OHGiecn3oY462Q3eqAZCbXVr/gHgCc4Vrybv/ycBPFzfDTNgoDlg7ger1fTNt14Bm82qU7rh0LdvT8TFKcuHeSeLcWiPYQ7QkrA1bQdef/09dfvVV1/C2LFj0KlXItomx8FkqvkZYZiL1BVlGjY7Vads46NdOwqTfvy44Zehh+V/b0KpVxwgtVM7dO/VwNc2po3KQB9Jz5ScmKuwNW2Xmh7kZ5LdRphkZzWzSbZiLuL7aWSMaqiKaxVWHUAZgKEAxPi9QwCUV1+8cfHLMTkQR2o42UDtLSQv+t6x8sToZDl5A3fT2E2drCBvZlNnWVkjo5zqGalRFBHhefYzNb1pqVzH7mKy+bvh+lJ5vwun+a3T9gYdb/yaxWo61y7LN61wrlTTva3nSXmT29PNujFXjg7WLYge4ieE6LI9Y2T1lZvmkrLJv/sVSnnuZygw6JYTsif+1a3+qabnHKQ6U+Uo2EgOpes29m1Zn7rARMomXf+S7VbnfkGD2S+/Cyo9+bLKQ68Y+XyJiLKSzWKE1xt+x8IDyM0oRHxSNFq1isPxd+5G5XI5vHXUJ7+qaTE0r0kThjkkiJhGqybPJSiPlNllxym3uwxnn0Oe9Yv/XoQtJd+gY9T5UrkSDz1wxbDIyjalc011G7R3l5LKRttwWSXhrxK6Nsdd26S8MTbS6l1YIcuaXhJJCjVzOlLkve+PyNfpt1Ja9s0u2y7lWQooXPEQ2zQpzwm6pjEmuu89Gnv2s+N+UtPdguV+lxQijBcR8lC4L4cCRlw5lMJPD4mT63huK/VPm/UiKW/2wIcAAKa5+ci4OAdJXVshIiICixeTsFPW4Xx8eEVblOUpx/8k9zepjr+Hd0JqMvWv/OMuhFuUSfd50aRAc0gnOFq4VZ7Ix3hIackkEEHvHM6XyiWaotV0BZPHZI+Hzn8H62ApL4/TvSkeK1TTd0s41Xlj6wekvMJKqn9e6RdSHhM4pvKT5M+QMFceO87d8AOsbVuh/YfPgJnNYCwGn99wDAdXp6NYUOkJNcvqK1YLjaFaZ8fQYBr/RGWQ/JLtfsvZHfK14SATAVFlo107UjLJyDgGt4fOj6jYAgBuYT+tCdKtu+metXD5nIuhzq0W6uNFwfLvdAlqMrERsiPfEBO5clW4ZXvwNBetxEXaSK6GhfWQyoWZ6T5aUSwHnjaXi2HK5bDpt7Qh2+ewkoOAt20LP7sKY4bQdVxa9Cb8Qfw9pXb52lQ6SbnmoQ9JsaX/pB64zZvef+AQooXfU1CqBDlbuXoh7nvgRgCKXbaJWeBwyc+p1m2ojSEFMbgi5nZ1e5VTdsDXRKJvEqjLpJox9imAiwCc5Jz3riZ/FIBfAVSFOZ7DOX8+kLo55w0myVJbJvtpAH8yxr5hjL3CGPsGik32U/XfNAMGmj48bg8WfU6Tdsu55+uUbjiMGTNKTS9duqJR2mCgYeGpdGHGAz/D4/H45CWkxmLUHWdVs5cCc3QETN5VloL8YpSWVPgta8AXzuM5KFlIPhjnP1J3X39x4twQEJnsjAzDLKhGZFMEX7Tu7r9cPaBNR3op2L/vcLVlNm0i2UZ/CiMJCeT/U5hdWm2ZpgrOAbfH9xMAPgcwoYYyK4RANQFNsKvAGOvAGLuIMXaN93+93Ki1mmRzzr8CMAzAbiiGaXsADPd+b8DAGYklX20CdypMpKlDR5h76Usv1TfMZjPOPZfsCf/+e/lpPb6B04e9G47hrbt+wpa/9mPvhqPI2EeqAsOuGYSQqOBq97MIcl8ZR5vX8nJTQf438+F0KIxr+/7t0GPc6VGjqC1EJvv4ccPBtUbkHqCVgMgEhEedemRVf2jdSZhk769+kn3w4EEUFhYCAFq1ikP7Du18yqR2pBXj/OPNy+a+rsFoOOfLAeTXWLCWYIzFMcb+AJAORdDjP97/hxljv1eFXa8rah1LlHO+i3P+Auf8bs7585zzXTXvZcBAy0VJfjncm4jlCr7lLjAxaFE9IDo6Eh998l+88t9/IThYnkgNGDAAUVHK8mFGRiYOHDhUXRUGWghW/LQNL1z+JZ6c8BEePutdHN2lTJqDwmwYecNQn/KhocGIvYFMUI4Zk+w6wZ1bgHWzyJxp6vOTcOHkUY3XID8QmezMTGOSXSNcDqBIOU+MmdDvrI417FB3tOlIL7v791U/TnPOJTZ74AAfywj07k2M+7Hdze9+9mOTHc8Y2yh8au/dDYxgjG1ljM1njPUKcJ+ZUEyeO3POoznnKZzzaABdoJhIf1CHdqgIRCc7oCg4jDEjaI2BMxbO338ELy4EALCISATfeT9gNuvvVAu89MoTuOrqKbjn3hvw8svyKphsKrISBs4ccM7x81u0cnHWTUNhCyX72fDwUHz/01sI7U8P5bk/LTutbWxJWDZzFRylin9EZJsIfD7rFfz4y9vo0jWlcRsmICnJmGTXGvnEKvc7u+Em2a0Fc5F9fphsQDYZGThIXhm1WCzo3p38BjL2NK9ANDo62bmc88HC58MaqtJiM4Bkznk/KCp4vwS43/kAbuacS2893u3bvPl1RiCOjw95Dc5rcl9/AMC/T6Ux9Q2HJjT1vDJyjmrNU9T00Rz5XeOTXAoF2453kfJEp6cPn5YZxfQyOkVpnenBd1NnWSi+Q2cyQBqyVHZyGiKk7+0gPwzfKSGHSdM/LpPy1l5Edrgp4eRE1TtGXukwFQgBSwpkJ62jxeRleG9XOW97ETlkdgjz3xVSI+gBf9cW+fwvHURrQjuKbVLenCJSgbSYyIlzryNXKpdvIue9SpPcxttbkZPc6hx5/al/HDnK3TCNfBy2OuWHUBCna1rO5NDUpfnkQnIodzq08OAwTLw/GGMwd+qCgjF3YN8bv2HzebeoZZ5Jo/P4Z+kn0v7lFUfUtNVKDrHR0VG47LLJ6vZ9992BBb+vx+pVm5GQEI8HHiBnr4w1HGeHK+evjUkOUZ4UQYzId0Vy31p6kpYcU+poivZeD3K++d+xg1JeKeg6XhczTcr7tpAcJvswWUZrQAz1oc8O0nBV4JJtii+Lomvfs73M5ha76P5+L0t2uix2U3+ycOojWUVrpHLBQaRXa+VTpbyJCdFqelexHEJZHBOmpNH4M9g2RSpnBd2znaInSXlzM+ieMjP5nlru+gurZi/D1CdGIiW1HcJiQtH/8oHo+kYWomLD8N/vbkfvoaSY4Cnbjr2/FqIjiOS5sSvdK9fvXC3Vf3P8VWr6pUPyy13vmGvVdCinft0zWHbmdggGlxvzZbVXxujaOILlZW+rufpl++5m2WHbAnqZtWuMO4OEUNUjg2WJzb7R1OaMUnK8y6uUnwf/3U4Oo3Z3CWbcORu3v3MxImKVaz1q9DAsWfYFvrz6C2QLrOJzReSsxoTHZ4X9GGKEe7Fc8AW12eRz53ILmUzDiQnPNyaEpBeZ7OysYtgsJDm4oPA1+MPw6Luk7ULXMTXdxtxNyhsf/Yia3s92qGkHl+2DK6001ro8spLGIWs6lePyWB5ipedWbgXpfEcHp0jlunGagLYLl5/VTkZO8tsqZEfgDaU07v/nobbodO4xXOXtmtMmpOCsRYUAgL5L+qvl8krSpDoKSuh364W8b+cdEkLjwhDqNecqKSnBwUPr0SqSnH1tVmK509LI8bP/gB6wmOnZ3LNnN9hsyvMzPf0ovjj6rnS8TuGj/LalKaBKXaTe6+W8WEj/wRh7jzEWzznP1dsPgANALICSavJiAfhKwNQCgZiLhAE4EMDHvyyDAQNnBIrAOU0u218+Em3G+Y/aFSiuvfZSBIfILyVvv/dvxMRG4ctvXke7dsoEsKCgEKv/2FldFQZaMNxuN2a8/Y26PeaOEXjkv5fh5x3PyhPs0q1AhaGffqrY9td+PD7ybSz+ZJ0aBCQkNBhn3e7f8VSEOMFuCIg22ZmZhlRjIDi26Sg8LuUFzZKSBBYeWsMetUdcKhF0e/fq34ebN21V0wMH9pfy+vQhRZId23ej2YEDbs59PqcKxlgC80rkMMaGQpnfBiKu8gWABYyxmxhjfRljyd7/N0EJuPiZ/u76CCQYjYlzbvb+1/vUf680YKCZgSMDJ/8mhqP79IthbXNKfhO49bZrfb5LTW2PlWt/wKDBCpPjcrlw7TV3oVizOmHgzMD338xH0UmFiIlJjMSlt5+D4FB6MfOUbgHsB/ztbqCWKC+yY9ZT83H5FGJ0u43rhqDwxuWarFYr2rRRmHe3242srOZlStBYqCyrxImdygsJM5kQ1LP+nVpjazHJPnz4KPLzCwAAcXGxSElpr+aJk+zt25ufS1xddbIZY98CWAOgG2MsgzF2K2PsLsZY1RLMZQB2MMa2QgmSeBXnAc3eHwfwFYBnAaQBOOT9/6z3+ycC/3W+qLXjowEDBvSx68XZKD+mrFBZwoPR4clrZSHqWmDEiMHo1Uuxpy0vdeD1x39U88SoX489+iyWLDGk+85UOByV+OujtT7f79uWgelXfwTYDWfYhsC61duxY9t+AIA12IqeE3s2ansSE8msKTs7p1mF225sHFmXrqZtvbv5L1hHxKWSOcjevTWHut+8OU1Ni5Ef+/QWmOwdzZDJRt0k/DjnV3POEznnVs55Euf8E875TM75TG/+u5zzXpzzfpzz4Zzz1TXV6d3Pwzl/kXOeAiAaQDKUqOYpnPP/cFGEvg4wJtkGDNQz3OUO7HzuB3hcygMuvG8ntL5ybJ3quu3269X0wtkb8cOHy7Booezc+MnHs/Dee6e0omWgBWDFVxtxcKNiR7t64S7cP2UGbjr3v1g5f0cNexo4Fcz+bpGa7ndxv0ZsiVa+z4j2WBscWZ+upoMaYJJdGyYbkCfZw4ZSsLHefehFrrky2XWR8Dsd4JwXc84zOKdIWKeql13biI91AmMsDgrt3gmKkfkBAHdyznMYY12h2MTEQbGfuYFzvt+7n9+8QHDCJAvxh4Fk1XZU/K6mR4dcI5UrBTGEsZBDDnaLoveSeRkOKW8zJyZpy7gUNd3qIXnpacEjVOf0+C+lvOEhpH/ZOkR+B7rnI/J6fmLdfClvxI1Uds0XZLnzVtbvUrlLI8ip6tURsuRkv79JnqqzeaSUd8C9RE1HW6iNQZCthF7tkqKm/9FPPj+vzSXHlCOl8l31VAo5zS3MLqR2BMmR8YqdFOlqL5O7wrocOt6oBHnZNttOxzMLp3VgUAfpPIsRPaNsFIZaAbXf83+fSzlHVpOT4dBexQAy4Py9DYKmXgoASLhtElrfmoA5b8xUy9mmy0GmTGY6lyaTBTExUbjsMnKMfeezD3HIswePPZSJxct6Ib5VDFat2Iy777kDTqfi5LOm/Du1/LBQ2dHr95Pk/BMXLDsJiS/rS8rkPqngpWq+k/H4YeproRb5ul0QMkJNZ1fI7NoIM72AWDSM/6eHyZHKJURt+79e8vX94hBd33eOyVHnLmtFY+R1cfIkaF4OBXWIATmITUo8VyoXYqZ2JYdLWdiUS78nu1J2yDw/gQr/PuASNf3JQdmpT3TwfTxJZkOTQqhfd28l37PT11JQlO62Siy59VMsAVDmYugIoGM75TrwWLoeJo0Pe5adHCvbBsvnp8BB59xslh1pIzx0L7oFh8wKDS11Xhu6v1IinpHylufR73m6u3xOXttDdS4u+p+a3ic4VwNAJ/MwNZ3lkM9/sOAQmGeSz90yrxoQAOSCoi5WZsmRJ0UH+n1MntQMMY3A4TlFcD/vhtliRofBHbAsIhtH07PhEaK0BgfR5Le8Mg92R/WqH/6+B3yD2Ij3rMOpmJ62b09lMjKOoNKZi07h1Ee2l/pXI2sd/bC0nWAh59iTHtnUaEfR12padNhLjpAdl4eH0Ha+WzZlW17wnppmmj4ZE07HjgomUwmnR1OHg8a7fiGyiMCwCLq3j/JkKS+fka36S8eUZ1v43DBc7roSFosF1tT2WFHQCXkln8MfmImc5LlH7nc2Kx37Hxcqzylbb3ruHziQCbM5Eklmctx02GS/u7SN5Hh6wYQxeOpf/0VMTBSSkpTVCrvdjj17tsLpkqOolvCmbSLEm0YY9YDAGAuCEkGyzlJhp4vJ5gBe5Zx345z3BXAQwMvevJkAZnDOuwKYAVmTUC/PgIFThvZFpj5R+cdcuA8qAyxjJphYT8Ac+HvtNddcompib03bg21pewAAJ47nYOy5N+PaKx7DFRf/Q51gGzAA7v0YOG0oyinD5iX0wj/1ivN0SutPpE8VbduKIdWNaI+1QWlpGTZtorD2rQcm65SuJcxmsFiaeO/fX7P51srlG1FRoUyge/bsiuTkJPTqRQz7zp27m605UF1sshsRdbP19OK0TLI55/mc86XCV2sBJDPGWgMYCOBb7/ffAhjIGGull3c62mzAwCnD40HFJzPBvUwYY6Fg3YbUsBPh5luuVtNffPazlJd1IheLF66By9U8B1kDBloS/v5ui5q++Er9SXZDokppCAAyM41Jdm2xYvk6NZ0wOFWnZO3A4lqDeeMmHD2agfLymh3UKyocWLl8k7o9YeJo9O5DevfbtzVPMzAODrfH99NYYIxV+vtAkfU7pcaddptspgij3g1gLoD2ADK5dxbi/X/c+71enrbOO6qiBOXk5GizDRhoNPCck+Cc9K9Zv1EB7ZeUlKiyFmVl5Zgze2FDNM+AAQP1gA0L9qK4SDH/ap/SBoOH96hhj4aBLN9nBKKpLVasECfZKfVWL2tFLz/79gWu8rNo4So1PWHCaCnS4/YdzXWS3eSY7AoAdwIYX83nIp39AkJjOD6+A6AUwLs1FQwUnPMPq6IEtWplEN0GmhY4Tqj2k6xtJ6B1zX4Uw4aRo8v69VtQVmpI8xkw0FThdLjwx880IZrWSGx227YGk30qWLtmMzxOZXUwpmsC4uLiatgjMLDWdF327q3FJHsB9alzzxuOYcMGqNvNlcluKJ3sU8BWAOWc82XaD4BlaA7mIlVgjL0GxXvsSq8syjEA7RhjZm++GUBb7/d6eQYMNCM4wUErLIGw2UOHypNsAwYMNG3M+Y6iqE6YMhxmc519peoMg8k+NZSVlSN3F72cjB49ql7qrSuTnXEsC7t2KuWDg4PQsxeJKGxrppNsjrpJ+DUgZgDI95PnBHDzqVR+WtRFAIAx9iKAQQAu5Jw7AIBzfpIxlgbgagCzvP+3cM5zvPv4zQsESVy2LNnD0tR0dDA5NWzisr5wKItW0+vce6S8zVnkAR9qkt9yUzlpWf62jzzvM26Wo3I+MoreE9JultVL5nxE4X2/OSxlYWklqUNE7blEyntqOUUaXJtHDhbDzeOkcqLp030rW0t5o2wXqmkxHDEA9A6hUNKC0AIibfJL3qTZpIDy1Cg57Hy+oFTwW9kSKe8qq9zOKqxxpknbHTyd1fSESDly2ubiAjX9vxOyZvB5Vgon3zaMHn5BGjWLMie1cV9FgZQXBvo9H/4o2+ud3YrKfrm2s5S3qNVidB+6Dy/PvwMAYO80BEMm/w/gLqkcGAUPGTyEftuqVUthYaSmoe13+ZZoNX1p9G1q+sXBspf5sFWkAsAhj2rbBPWYsKC6rQaNtk1U09muUr/lKjUj6nUdqa+9cEhWBtle9JWabh9DKiSzj8nqN1/lkPpEYoRs9/7Gic1+29LNROoHe0xparqNa7hUrksk9ZPfjhdJee2D6B4elyBLj0Tb6IZ7fz/1n+0uOez8Pzp0UtOpYbJawNg1r6vpl7s9LeXlO0mhplM4ncch3WQW02J+QU1bLXJwpA4596jpx9vL0mVBJmr/PV1vk/Jm7qffWlxJvgHHK2WVhA8yKVz6SS5PMIaY6L58cL98Tk64yAktMZqiKVa6ZVWe3ZV/qemScllxqF/MjWp60Xi53z2zmlaUiitpErS0UpbINAlcVATkMfOxnjS2P7yuHCczC9C6XQyiosNx7jmTsHr1BgCA00V9xmwOg1vzGwJBuf2otB0WkkIb3rFEtMnOOWmHzRqPPYWzqdxbshrUszPoHLS3DJTyYjykxtXH1lHKy4oiRZdDJooyG+9OlMqVCqHNC03yfdMphp43RS65v5ZV0tjFhHDyVpOsQGMy0RQmnkVKeWtKSMKw0H5EygsJpd9mNslKRbMXbMI9/ZTzMmHCZMz9VZkfuNxy+8VQ55UadZFKJ7X/vE+j8OHlSajS7Tl2uAARwe0AAKmmNmq5ca2vkOqYV6hoaa9auAs9e8nPlOzsHJSVBCM0uD3OD5X3W+FcjKaOujDXjLFPoZhvnOSc+4RN9UZ7fAvAJADlAG7inPsf/L3gnH9ftb82eA3n3MMY+6HWjRVwWphsxlgvAP+EwkSvZoylMcaqPLnuAnA/Y2wfgPu92wggz4CBZoM9648ifacy6IeGheDSq8b7LWuz2TBoEC0Lrlu30W9ZAwYMNB2sXkQSfxMmjKm2TF0m2IEgLi5OVSMqKipGaWnDHKelY/Xf9HI3blz9mP106EwvZwf2p9dq36ULfVcyd+6oWWe7qUKxya6TucjnACbo5E+EYinRBcAdAN6vZdMWa4U1vHPXU3oAny51kZ2cc+aV8Ovv/VzszdvDOR/GOe/q/b9X2M9vngEDzQ3zPyWnmutvmey3XP/+fRAUpLAr+/cfQG5urt+yBgwYaDpYvZhY3QsmjD6txzYC0dQPtm86hJJixQcmOTkJXbt2qmEPfURGhyImXmG97eWVyMio3bXZumE/8vLkVdWdO5rvVIhzwMW5z6fm/fhy+DfrAICpAL7kCtYCiGaMJeqU1yIdwFbG2HkAwBi7GcBqAN/Uog4fGBEfDRg4TVg2eytKihV2qUu3Dhg16txqyw0fPlRNr1u34bS0zYABA6eOjcv3wVmpmG7069cLbdtqA1o1HKRJduYJnZIG9OByubFuOa1IjBtX/TgdKPqPJFOP9P3Z4LU0lfB4OBYuXCp9t6M5T7Lhy2J7mez4KpU47+eOWlbdDrLPXob3u8DaxfmtAJ4A8Ctj7G8ALwCYwjl/sZbtkGBMsg0YOE2wl1Zizg9k+3zPPXdWW27YMIo4t3atMck2YKC5oKzEjrQ1ZFt+/vmnT2VEcno0mOxTwuq/yalw3PhTu4bnXUi+WmsW1y0M+p/z/5K2m/MkG/BrLpJbpRLn/XxYy2qrUwGprfH3OgDZAEYAWANgfS3398Fpc3xsDKR5lknbOcVkWtMhhmxiS5yyF7ZDCMUbYWkj5eXaybHGbiqU8uxWcvDpHjlITZ+wy85Q8V8sVdPjZ98g5XUUQgYf88gDpRhGd22BvHzkdJAz3039yGNyeZb8IhcfTO9V2bKvBuaVfEzlwuTQzv2d5OiSD3JsGhciOwKZO/h3xP2837/U9B1d5NDF96aRP+vE1mQW9f5J+Xf2iCCH0kqNgP2oeHLoCs2Tnd9ig+n8fHiSQvFODZedRkw6Yj3jEiisdFKI7Mz6WyYde/lJWW5P7Ifp7yzHjbdNAQBMu3gK2ndoh6NHFYcmj9dWc9gw6jtrVq8E91TCKTjWpJcskuo3m6hdq1w0Ke84Xy7XM+YqNZ3gkVfR/iqlyX9cRH/UBfs9dB893rGtlBdroxDTH+yXVRfW5tL91pbL91vb6EfVdGoYOT1VuORrPzyc+l22SRYgOsdKTpIpEfKQt7eIruOaPDoH31tkO8jjDnKg2y84UAMAHP2pvZVRUlaxkzrUgnIKKGQxyw5cbx2jcxLMZec0MST36yfmS3mXRJCJ4to8OpZjl+z03SOG+vm6i+Xzv2IHnYNHdexFLZAdxNzIVtMTIruo6bAK2QFtu5PGxQuCZROKeeV/qOkKp7wSfGEYBWMqcZEDndUitz/PRLbHpijZZDOe0b1x0UJ5LDHzPDV9hNGkKprJfbeth7ZtmujKt+6isbaIK857vy9ajCHnKQ6kV194A/Z8z7GihIIVm0xBCA2icbm0gqL/acOLi6G7PRrnurKKdGqXNR5J7ckZ+9ixdLi8zpZMaLPl4c+lOkTnyWG2i6W8dZXUXyvLiqW8sCC6T4sEZ9MMyM/c6DBypI2yJkl5yW7KmxrbV8orrqT7e17532rarXEWd7porJ1X8Cr8YUTUPdJ2OajPDAruJ+WVuJ04/DeZ6I0ddS4ujb8D32W9LJV7MIlIktfSX5LygmzKc9FsNmPkBNJM/3be92hvo2dfmof63ZzD86Q6QoPJKfXkHy64XG/AYrHA4XDg+OFyRAQpY3iZWz4n8WbZSTUHsghAY0OxyW4QOZEMyHFUkqDEVgkIjLFroSiN/A9KdPEvAGxgjF3GOd+ju7MODCbbgIHTiF279mLxYuVBZDabcd99d0v5CQkJSElJAQCUl5dj+/bmKdNkwMCZir8W0qRm8KiusFjlibk4wa5PiBrZxw35vlPCicN5OJGuvPQFhwWh6xCfGHgB4exzhiE2VnnxzszIRtrm3XWqp6CgAI8++i8cOnQYjz/+DByOypp3aqLgAFzgPp96wFwANzAFwwEUcc5rYzf1OoBLOefPc86zoThS/gCc2luKMck2YOA04523aRXstttuQVgYsW3Dh9OKwYYNG+FyaWT+DBgw0KSxf98RHD2iPNvDIoPRe3jKaTlukhRS3Zhknyo2/00Mfd9RdXN+nDrlAjU9//flp9Sed955H1269MM779RWNKOpgcPNPT6fmsAY+xaKCUc3xlgGY+xWxthdjLEq1bk/ABwCcADARwDu8VOVPwzgnKvLmV4HyucBTKtlPRKMSbYBA6cZf/65BPv3KXab0dHRuPHG69W8ESNIn3nd2lM2BzNgwEAjYInAZg8ff3pCrLdtR06WxiT71LH5L5pk9xvVWaekf0yecr6aPtVJdksBB+Cu5q/G/Ti/mnOeyDm3cs6TOOefcM5ncs5nevM55/xeznknznkfznmtpPf8sd6c86W1qUcLY5JtwMBpBucc784g+/f7778Xio6+zGSvWdO0bOkMGDAQGJYsWqOmh52uSXZbY5Jdn0hbfhAeb+Cs1H6JiI2NrWEPGQMH9kFSkmLPX1BQjDWrjMi9gKIu4oLH59NS0aIdH50a0f+k6FFqWox45/LI9k1iRLEwa7yUF2ojpzwPd0p5Tg85YUxOW6imC0tlj+ILYx5T09FWq5Q3q+AXaodLbn9iCDlopFpkB6v/baQIVrsL6fes98hvz8fzKVDS5uJZUl58BDmfJGsCKgULzkbbyshZKSLvcqmcGGEtziMPSp+lk8Pk9Vx2jooARbn7IpcGo0faypEgSwRHshPlsh3X3kK6HmPbyM5jv2STY+XZNopemVfpwCFTurr9UkdaFjxUJkdWtAqvpBvzZSewmTnktOJyyw5Kq0aMUtMd+3oZEVsOHMV2BEUGo1u3rphz+6co3bQfI4fQJHtr2lEEe+03Qy3UlhKzHCXULfRfFycHQ9HREQD6WcghZr7ghKdFH9Mov3l6KGfkHPXgwZ1S3hATObztM8l2iXHOPmo62mqT8o4IznBFDsrbpYkQdwLkl9KOy067yRHUd9NLZPMb0WloeipFUyxwyH3rcBnd230wVMoTnWWPlMqMjE3IHBc8TU1v1fjRlHFyyovh8n1zTewtatqqoUXSy+i+cXrISe5QiQ07KqjPT44hJzOTVY6K+OpeqmN3kRzcrHMs3SuxbtnJucBEzmHrCqn9UUx26uxuJRvk9Ao5EujxR2gCummxPNY+v124nxOpzrPiZSe8uYLT8ZxCeazdUUl9rcIpOz52CaUIov053XcHmRxq94AQ0dDB5fZPDKJ+fUMqOaqZcq1w2l2wBluQ2iMByckdcOSI4uBc7siUogXahGeM0yU7f4YFk7NgRaUc7NjjoXs9JCQccXHKeXA6nTh5kiIO2oRnFtcsy0cFUZu3aYQC+tomqel9ltVSXomdIrOGCm0cbJsilXMwGpv2u2TSYK+JruORIvl5EA46J0FMEA5ggN1D+3HBEdJsluvoEEnRREshRyHtYaY2b/XI90OVAyuKgA0bJmPY8IEwmUwYN248Zs/+RS0njhFc45BpMQVj2jSKaBmybTu2jVecg+fsomjTf2SSU226SXZUr7CTA3enWPm8xnrohWpB4WtS3tDo6lWrmg443OzMMYM0mGwDZzTECfZpRaUDO36il4mxz0/G+A9vgiVEmUgeOZKBrKwcf3sbMKALcYJt4PTD43Biz5p0dfvccyksvEXzklwfaNuW1D5OHK+9FnNzgTjBPh1YsmSVmr7uuqt0Svpi8mRSMKvcWGN07zMGiuOj2+fTUmFMsg0YaCRs/Wa9uhwZ3joCrQcQw7FunTEoGzDQnHF4C6229OrVU6fkqaNDB1otyMgwTEXqC7/NJXb5oosmYOLE8TqlCV26pKJ7D2XVkjscqNxqqERVgXuZbO2npcKYZBsw0EgoOV6Ebd9WH2zm26/9m3MYMGCg6SNzL5ls9OrVsHbZqYKpyuHDRxv0WGcSdmzfi6++/EndfvPNVxEcHKyzh4ILLyJTpMqtO4DK5iu5V//gcFXz11LRom2yDRho6lj20gKkfb0eobFhiI0wwxoWhJKjeViwYGljN82AAQOngMw94iS7YZns1FRaBTMm2fWLZ576Ly68aCxiY6PRqVMqpk9/CM8//7LuPqPHUACsyk1pDdzC5gUODjecNRdsITCYbAMGGhlFRwtwIi0DWesO4dhfu1F44GTNOxkwYKBJ4+ThfLgqFVvT5OQOiIiof1vsKqQITHZ6+jGdkgZqi9zcAjz77/+p29OnP4ROnVL9lrfZbBg+YqC67dxRt1DqLRVnmrlIi2ayzSZZAaLQQW/4VSFJAcCh8ToPstBgeNIhqwBYTeTlzjXG+pEW8hQeFUphvddZe0nl5hfPVNNTo2W99J/6kK7muTfLnuz2tCI1fdsPsmNLuxDanpZEagGv7jxPKtc5ktRM/rpkmpTX62ea3G23/ynlpdjI6eO9bqTrPDdDPgcZQujfZ3rJIYKv2LlOTZe5z5fyrk6mJbhZ6RSiOUsT+n13IX1xlMm2h/2tKWp6XY78plzKyLvcKajCdPAkS+U2F1CfmZAoe6S/upPULeYWvCLlRQrhgy8Ku1TKu2cDXccrs0hv9YEZciQ45+IDavruvbLKxrECCvmdGH2WlJdfflBNnygiFYDjGo/3k5E08DMmv19PFMKXp7O6MWG5lfvUtMMln7uyIFJCyHcekvJ2usmeNAzyUmyEEBY70kZt7iKEugYAJ6j+GE+0lLc0n5wAszW/zcVov+J8QYFDwz9YhaEyzCQrAi2vJGWZ7ly+33qEkvJFlpuWjMuQJ5XLLaMH8YiY/lKeR7jVvy/8ScrrbCUFhVZu6rsn2AGp3A+F6Wr6k2+ypbyuJmrjoOhbpbzhYXSefypeLOVdHk7KPyHCk2S+cCwAKHTRfcqZPF7c/yG1PyZIHi8AutffyqJ+/VWWJjy30GfaezpIeeVWeWwXUQbK2waamJZpVDzCLKTOkcLlENwi/rFbPpYT2Th84Di69FSiBU4b8hB2bFSUS7aX/aaWc7loP6tFVpYpEUKWBwfJfd7uKlTTqakUkfDQoXRJ+eqhdnRNdxRQfweAv+2kJlNhlxV78mNIjSiIycodNmG8K3OSyswuLquQRJhIBcPE5OmGhVF/jefydXMweoaVewrVdJRZPgcp4XQ9djn/lvJO2umecgXLwWRig1PUdLcyOW+Vh+6dp5OvBQCwvxg2b9qJgYN6ITg4GO+9OwNvX/kHqsOQIUMQGqrME7IO56PPrJVS/jkW6r/rPZR3boQc/Xe9Y46azqrYLuWdwFY1rVVV2elYUG27mg7qzmQzxiYAeAuAGcDHnPOXNfmjAPwKoEoiaI43oEyjwWCyDRgwYMCAgQbA/t00ce3UQ5kgihPs+kJKimGT3ZDgHo7HHn4VHo/iqD52/Eik9kmstuyoUeeq6e0rD1Vb5kwGB4ebO30+NYExZgYwA0q4854ArmaMVWeHtYJz3t/7adQJNmBMsg0YMGDAgIEGwYFqJtn1jYiICLRqpejo2+12nDiRXcMeBuqCbWl78PNPpDYy/rpB1ZYbNYpWs3asOlxtmTMbCpOt/QSAoQAOcM4Pcc4rAXwHYGoN+zQ6jEm2AQMGDBgw0AA4uKfhJ9mpqWQffORIRovVyG4K+OqLX9X0eVf0gy1YNoGx2WwYOXKEur1zVfrpalqzAQeHhzt9PgDiGWMbhc8dml3bARAdDjK832kxgjG2lTE2nzHWq5r80wpjkm3AgAEDBgw0APbvpsiInbo3zCS7Y0eaZB8+dKRBjmFAweqVm3H4kDLPC48KwYiL5DmcYo+tRBs+cSgPuceLfOow4JfJzuWcDxY+H2p21DptKJXJ2AwgmXPeD8A7AH6p9+bXEqfF8ZExFgfgKwCdADgAHABwJ+c8hzGWDsDu/QDA45zzBd79ugL4AkAcgDwAN3DO9yNAuD2yk0dpBdlH/T97Zx0nZfE/8Pfs7nXT3d0tWFhICDYCFiZiYPvTr92tGCiKjQEiKCIhKC0NgnQ3Rxwdx+XO74/d2yfudm9vb/Nu3vea1z37zDzzzDzzxDyf5xN2fThWi9HY6lSWZqiTEFPZbZ7VYjROy8rVLqilaGHOz2K80KJsWpjYHXbjp715GZpRRIcF5qAC2jkWZzO+H03YqxnXjdUZI560GI1Zdh3T2jztN+PwZ+ZpxlhXJhmjW53N08LxvrR7tWs5Sxr71khqxnVfbTOGVz6rC5H91j5jCF99GPf/sjVDstPHexvKxUhdaO2T4w15zdIedS13r2Y0Tqt9WjPiOXhWOz7pOUYDvfXHte22nzK2fyva+VMhqbUhr4G1q2t5ce5qQ94pecC13CrlAtdy3hzj2D8+WjOKjDOFvtaHThcYDSbT4rSHbFKiJkXZcdJoCHR3pb6u5ddGGg3QUq/VjuUpnSFlSbg4pp9ruU8DYxtH7daMo3rF9TPkzc/VDGJjTQZWx/M0wUVtey/XcodKxnN350HNWHm/6Zw/mKeF1rYKozF0nFW7TqXQzvFjwhjeevMpzRC4ddI1hrzrkrXflWON12WeTqqYpTNM7GO70FBuutDOu4knfzDk6Y1Uz40xGtUmWbXtEqK0+0PbXOOn7C1CO3eH1DCGhdcz6aDR6O90rnZMbqt4mSHviwxNt7ieVdtfA4txMrnfHu9azhVGf8HPdNDucTuPphjyjudo98n0M0ZjRz1xNu1ci5XG418hX9tO2txHlauKZvyWZu1gyDsjNSO8HGF8pqw+q13DG84aDc56JtyCZbcgOzOHmPhoKlVLoVGFmlThVhbkasfuZK5mcJ6jMyIEo1FbdvZ+Q15MtMOosHHjNq51e3YfIj66Ih0SrnWt+/LwFNdysslwUG/Inx9tfNbFS+2aSsMY8n671KLV6o0z45PPMZRLQatz5+mZxrx47Z5cL6abIW+b/QBFITGGhd+Sr4Vqz8oxGp62S9Cuy1yM592MM1r7s6QxiqTeocHb+7Rxuq2i4761YcIW6j/hMDTtNbgTK39fx4DKTwNwbV9NVWTJ/A3ssx9FmGSZKdHavatrjvY8mHLqa0O5mCjtemgVZQyCsyZHux+lJTQy5OXknyGccehk++RNZC9QW/e7FmCYJEmpDaaUcqoQ4lMhRCUppfHCCiLBkmRL4G0pZVMpZRtgG6C3Cr1ep6iuv1N9BnwipWyCQ+H98yC1V6FQKBSKUmG3S/Zs1l5c6jSraphg+wN9IJqdO/Z6KKnwB8vHr3JF6m1xXn2q1NM8wrQ4t55recUCr+WB5QvpVl2kOJYBjYUQ9YUQ0cBAYJK+gBCimhBCOJe74JjjHilUUxAJyiRbSnlUSjlHt2oxUNdNcQCEEFWADsAY56oxQAchRGX3WykUCoVCET7s1gWlqdu8qt/r10+yd+3a56Gkwh+cPHSaDbO1CXT3G9sDYIu20qSzJmj9V02yi8SDTrbn7aTMAx4ApgMbgHFSynVCiKFCiKHOYtcDa4UQ/wEfAQNliI0Ugq6TLRzfPu/F+AbyoxBitVO0n+pcVxvYJ6XMB3D+T8f4uaCgziEFyvIZGRnmbIVCoVAoQsLuDZpKScAn2UqSHRSWjtPUTS4c2A6L1UKj9jWJjnOob+3edohD6cdD1Lrwx27PK5S8QUo5VUrZRErZUEr5mnPdZ1LKz5zLI6SULaWUbaWUXaU0OW4PAaEwfPwYOA2McP6+wKmk3hmH0vEIdxu6Q0o5qkBZvnJlJehWKBQKRXign2TX8/MkWwhBvXqa3ElJsoPDhtlbOX7QYc+TWjWJYSOv46IbNV3+f//Z7G7Tck+BTrY5lVVEMCXpQoh3gTZAPylldhH5rYFJUsr6TnWRzUBFKWW+0xH5EaCxlNKtuLpTp05y+fLlACTEGSM5Zecedy1H2zSDkqwco4Gh3tjEbLSgN1rMyTMaTOgjWtms8Ya85BjN00z36Iu19VHG+v85q12cNoxGWj2S67mW42xGQ9uTOdo4HsrSDDfm5xqjTbVFM3raI4yGNHpflQdy1xnyesVp7ijTczQjy12WTYZyO49pKvWvNHnOkDf68FrX8v3VWhnypqVr0d32CE0aE2U6BplCO+a18+sZ8k7o8s5NMhr49KmhGS99sdVolHckL9O1PO/kp65liyli6LHbdQZ7duPxv2uS1pajucZTO14XIVBv9BJrNdax+KzmGWDbWaNhqD56aV6+MQxmrQQtuuj+s1oksJpxRgOuthYtkub1JmWtv/Zrx+SPM0YDJYD9x+cVWmcmPlYzwDy95llD3qBztb7F24zHP193D9qUbbRPSUG73jpW0K4pfRRHgJ1S63d92hvyYtCMZXdbjJEQ9YZUVp3x4bFco5eGMznuQ91Xjm/uWm5qN0YETNAZJupvtZuE0bg0W2oGuFVkPUPeUYtmBFbBXs2Q98dl2rnwxjLjoH524CvXcs8ELUrrGmm8th+orh2vJRlG48Dpmb+5lnvHGw0+H2+ptfmfjFTX8knTl98/D2oGaXEYjcUzLJq65H/HvsMdrdO09m84ZdRpjo/RJq4dbEZD6V0W3f3UZPRaI1+bnNpNTgp2WbRIv811UR63W4zjtu24ZoB2abIxeu8VNRzna1L1ZO74+2EAso5n8uX57/DwxuGucnoDwONnjJOztik3upZXnxxnyMvPP0ONGjXYt89xrh45fJz2TRwG67XsTSmKRGE05t5p0Qxi9fcOgD4JA1zLG/KNEvIMXVTEHLv2PMjMMaq/JumiVCZZjeeu/nprKhsb8k7Ztfv1/JMjDXmxumjNeqNgc4Tnk2eMzyY9cTGaQWx2rvFeUiNZM8JsIrVro3uVREO5uLsq8MT/PVBk/W/ePZY54x3Hc71Yacg7pZtvdI+50rWsjxwLkBSlHbsjWUbVE/1cJk8X+RMgOqqK4XdObvoKKWWnIhsaAqyWWBkXW0ghgTNnt4ZVO/1F0CTZQojXgI7A1QUTbCFEghAixbkscCiyrwKQUh5yLg9yVjEIWOlpgh2u6CfYivBCP8FWKMoK+gm2omToJ9j+4NT+k+Scdrx4x6bG8+bxn/xWt959355dZT8IjX6CHWreeOMjpk+fXWTeGhWExi0S6bO6SCQSlEm20yH400ANYKEQYpUQ4jegKjBHCLEaWAs0AfTigKHAMCHEZmCY87dCoVAoFBHDka3al5BWrZp7KFkyGjTQpOC7d+33UFLhbzIzz3LVlbdy/nn9+OmnMeTmOj7hzJ07jyP7TxazdXlGYpd5hVJZJSh+sqWU6yjakThg+rZr3G4jcI67fIVCoVAowp2jWzOo3s7xibxlyxb8/fccv9Srl2Tv3lm0b2lFYFm+fBU33fQnTzzxFB06tGf27DmcH3VvqJsVxkhkGZ5UmwnKJFuhUCgUivKKXpLdokUzv9WrD6m+Z7eaZIeS9PR00tOd+tapIW1KWCMlZVpybUZNshUKhUKhCCBHt2iT7PPO6+qhZMlQkmxF5CGR3gWfKRME1btIMNB7FxHCGFpb7zVEHxI9L98YWttmTSmyHECULcG1bLcbT5TEaM3KPc6ihWtuLlsayjVJ0cK4202HP0kXGnn5EaNR3tyzmsHM+bHGsOf1EzTPC7Oz1riWzd5Rku1adKpEmWDIy7BoD4LTpiBJuVJrSzXRRKvDbrS4/qi91qHvd6QZ8maf1CzUY+1GK/fralR0LX91QLMKf7dxPUO5M/maZ4rPtmYZ8lqlaG3ZdNLogaNlira/zSc17x/7pbGfS45oxzX3MaPx2MXfprqWe1U2WnDvO6N5qViZaTRA2piteeuIi9KO/01pRk8I3x7WQpvHRxldUZ5rPc+1PDtnmiEvRndep+u8gETZKhjKVU7UPLocPWv0snFxnObFYOaZ0ZjJzineNVjdCn1cy3uO/W3IuzTlEdfySWEM+7tbamHou1m7G/IO60IEH7Nooc735a4ylOto7ela1nusALBJTZaQJ4wSlO3ZmhvVijGafqsF470jD+2caWPScJuX87tr2ezRoEfqY67lGrHadV8lznhdLj16wrX8ZhujZt3sQ9r4Lssw3nOapWr3p5EHf3Et670ugNE7UKLJo9HXBz9yLT9R9yFD3objWjjqFqlG7w3/HdWusUMcdy0fNXktqiI1Tw7CFPZ8j1jvWk4WRu8TLSzaBHJBvnZeN5WdDeUSdffopXajV54UXRjxNLvxmt1uX+ZaPnzyX9dyhaTWhnJHT63BHb1TH3ctL8qdYsg7m6t5Vbm37n28ufIxYhIcbb38ojv5b9WmQvuukmx0rpBi1YzmNx0db8iziCj27N1GjRoOY8D2rfuye5dDkmrVeVLRe/E4cGKR277YbKmG31UStXDtqcLorSlfdx0dytmgrTdJKK06j1vVo4zHNVFqz9kMsceQF6vzKnQwT6tfSmNYdb0HjvRTywx5dZLOdy3vz1xlyMvN1zyimD2B2e3aOX954h2u5fqJxvN/wintXNOHYgdoJDXPToctxueB3muYTSfn3JZjdOlsDBNv7HdynOYbvb3lYkPeKYz318XHR4SV1w4hrNJiiSu03m4/E1bt9Beh8JOtUCgUCkW5IedsLiunai8UNwzqVeo64+LiXBPsvLw89u0t+95FFGUBiZT5hVJZRU2yFQqFQqEIMEvGa19srr7uMqKiSqetWa+e5hd9754D5OeX3YmKoowh8wunMoqaZCsUCoVCEWC2LNrJ0X0OtaBKldK45LLSOc6qX7+ea3nXThXpUREpyOmS3BXmBBwudtMIRBk+KhQKhUIRYKSEZb+toecDDl3h/gN7MX3aghLX06JFC6pXr0a/K69wrdupJtmKCEFKWXpdqQiiTE+y42PrGH6n6EJ5WnWGTSdMRl36sNUWi/EQncnSjPfMRhipMdr+6to148A1ln8N5Xae1IzaLBhDTB+VmgFIVWEMC39/9Ttdy+lnjJ9Xvsv4zLXcMf4G1/JeU9jz43at/rbiQkPe/+pqhl8PbTOGXha6dm7M+cu1rDcEBZiSfgPuOC2Ou5abRRsjd/17ROtPp2gtxO7wTUYDxn2Wna7lDSeMYYa7VNTCuB/hhCHvr5OavuIJNCv8lhjDYP/aZZZruWGS0fhwSF3NAG3eQePYn8jRDH7SSDbk5esMafSui0z2Z5wfrYVtX4sxxPEqqelzHjm1ypDXKfVu17I1TTuvD2cax/5UjmaQlmwKa7vMrvX7soTB+MJlsZpkbmma0cisZoxm6NIhznjORFt6uJaXHDEa7fSulupaTrJphlLT041RVFejhS7OshsDQaRZtb7qjbQAcvI0o2cRo53jVpPRdIzUjKPyTdd9Jd35ag55b9OFB9h3VsuLshiNrQ7pQqffsi7bkKc3Xr40vpUhr22qZggpDmnlaka1M5T7N18L1z2+jXFspmRqZb88bDTeG9n4ctfy/3YYz0n9vaSN0AxWK2J0UWfVh0gwRUs4Loxt0bPEvtS1/EwtzbjLbKs/Yr8WoTHaFDZcf389LIz3+Xy7dpwrJWuGamZDskqVtetSmNofZdFWVLYY+90iRnsGbDzlMLTLHL3YNcm+vNd5VEmrworuN7vKNZj6u6EOm87YLi21DuPHf8Mllxrv2wDx6clcmaAZt67M1sZmvSkMvTsswmjkrzeiTjeV1Yfuzrdr12ydZKPhsv46OpxvjIIoLZq6SwJGI3n9PTpbd40m6JwLAMQJ7Z7QOeFGQ94p3TMgKdZ4vzieqbXlyiTj/W5frra/udm/uZb/OmN0kJAUqxldvlq3jyFv6l7tutxpciJwNGuba7lCrPaMNztS0Dtd6BR7jSFvp0V7HizP/dO0ndFAUxFalLqIQqFQKBRBYPfmQ6xa4XgpiImJpu813YvZwkFUlI2ff/6qyAk2wJZle4pcr1AoQkuZlmQrFAqFQhFOjP/5b9p1dEi9rxt4Gby2zmN5IQTvjniMHpdf5Fo3f/5iDh8+xtEjx5kzZyG2JZUC2WSFQuEjapKtUCgUCkWQmDRhNi+8NpSoKBudurTkQM1q5O3T1CP69evFk089RGbmWfbvPkliUjz9dBLvV155l1dfec/g3/mG1FuD2geFQuEdapKtUCgUCkWQOHb0JH//uZje/Ry62YlXXMzxUWMASE1N4ZtvR5CcnFTktl+MGs2rr7wXtLYqFIrSUaYjPlpNxkV2XShPc3Sr+BjNoCIzWzOSi7YZjdgSojWDj1PZRnOQnFzNwMFuNxov6dFHO2qbYozcWEdnCJQWbTS+StBFg0yLNlrg1IjTjLHe3LdE28ZkUFJBF/Xs0srGiID7M7U6fjs91ZAXbdEicMUK4zHRR3Q7IbSofFXtxihhc0584Fquk9bDkJcns4tcBjiVpRksdYvt71reKFYYysXromxWzjcauqQJzdiuQ0WjcdTJ3KKvgcZJxvX1EjQDxnG7jGOzKHeta7lOfgNDXobFvWeiOJ1B3ZqzmtFZdm6GoZz+nDFHKMvO0aRgZmNcfdTH1xvf71p+YsMrhnIN0vq6lmvbje1PEDFMOfa62z4UoI+omhJvrKOrTYtumWEySk2W2rmVaIqwOunYW67lYbU1w9YP/zIazs67Q4tg+eVW4/hu0B2fFjHGqIJn8jSD2x12YzCPcxK083rjKc3oaY19jqFcPWtH17JdGI//YXbjjlr2pq7lRrHauatvE8CrHY67lh9aZjQabZyonQtPdzTq5V4wT4vg2t6iRe/rVsV47o4+sNO1vMFkJNcveahruWmqcbvfj2mGtdEYj3miXZskVrRobTYbDuojeh62GsOCp2dphpb1YoyhyGtI7X6drTMmjhFGuVGW1K7Zkxaj4dquvOWu5eNnNhvyGqdqxo4pdi0a7brs6bjDbjdGO+wRf5NreXb2r4a83pdewc+T3gEgLzObyb3fIe9MNhuvrMKzzw8rsv4lk9fz/h0/Y3eGCf79xOeuvLSExoayeXYtQm99axdjPbqotgz/wbUY9bgx0mvFZC2yqU0Yjen6JVzqWl575qghb0Wm0SC9gNjoiobfeoPhKBFryDtjP6zLM97v9E4F0qzadnNNETf1kTqrpBjdJcbonmc3pZ1ryPv8kDZWqVF1DXn6SJStrZrR4sjLjdf5nv2pruUfdxqfs5OPa9eNPvojQHqe1ubjmVtcy/n5RoPwtmmasWYuxuflrqzFht9nzm4tk5EUIwUlycY4wVaUDP0EOxDoJ9iBwN0EOxjoJ9iBwBxW3VfOSPcvjGUV/QQ7EOgn2IFAP8EONvoJdiDQT7ADgX6CHQhSomuycP4qNm3YQdPm9bHFx1Dvyg7s+HU5Q+/TJubvvj2K2IwqVKtXkeOHTjHry+WuCbavGCbYAcDdBNtf6CfYwUY/wQ4E+gm2ouygJtkKhUKhUASZrz+fyFsfPAJAowFdQUoqVXK8GO/etY+3Xv+Mdmhf/FJtyjWbQhFpKBd+CoVCoVAEmV/HzeT4MYdP98RaFWj9gOaTfMRH35GXl+duU4VCESGoSbZCoVAoFEEm62w2P42e5vptjXXovGdkHOWH0RND1CqFQuFP1CRboVAoFIoQMPqrSch8o7Hs55/+yNmzWSFqkUKh8CdB8y4ihJgI1AfswGlgmJRylRCiCfAdUBE4Atwqpdzi3MZtnjv03kXMYWKjojTr5ty8467luBijFwx96Gszefma1bbZ80hOnhbO2W7XQii3TDGGGo+RmkX0QbHdkNfQ3tq1nCmMIZp3y9Wu5XiL0VJbot2o9R5FDuYbQ2vbdCFXT2XvN+Q1jdHCCWcL403ejubxIJNjruW2op2hXM147ZgfyzZ6SZidM1srJ1oY8lrHat4iZmYvci33iutmKDcnSwvccMZuDFd7JFPzEGDXhTIHeLCW5lljywktbyXLDeXq2Ju7lpsnpBryMrI07zSHTdbe56Rqx3x/prHfM3NmupbjLVqdMcJoIJaPVr/euh4gVWjeUvKEMfzu/9XSjuWCQ5r7hiXZRo8JQ2toxnbvpi805KWged1Ye+xHzEiZW2idmQtTH3Ut77JsNOTFCM1oKFdmGvLy0a63StQx5G3M/Mu1XDNB8+KRLU+7rb+lKax32wraOa/3oAOw/KxmWFtNatdUgySjt4zNp7Q2r5HGY1dLaKHO61hN16Xu9rpRatd6vDSO/SGx07V8rs3oCaF7VU0WYjF555h3UOvPsjwtZPy3LYxeEd5erx2D34++Zcirnnqea7kNxustXWgeV1pH1TbkZekmh+n5x13Leg9DYPQytFWsMuRF68Zt96l/DHn1k7X7USu0czctxmhKdCRbOzf3248b8vaiHZMDJxYZ8iokaffaalbtuk80jc1poXklOWTfasjTe6loYG9pyNus837UXJo8fORo4bon/Pw9Pfs5vKecOpXJua0Hc/Kk4/5SEc0At5nN6FHnz7NaCPYz2UZvRKnx9V3LR05rxyA7Z4KhnEjXPGQ1bWv0gJIntWfA0ZydhryTZ7TnikA7KZMSjIaJtaI1DyU5pufZ0VztesjNNz5vpNTuoTXjtJD3O08bzxH9fb5B8iWGvC3HNU85NmuKIS8nVzMMblzBGLL8rF17vlUW2nFcf2aaoZx+39emDTXkHczR7hcvtLQa8nqvGONarhGv9a2pNN63/jr9pWt5RPMHDHmv7dXO5SsTjd5RZpxZa/i95egvyrtICAmmJHuwlLKtlLI98C7wtXP9Z8AnUsomwCfA57ptPOUpFAqFQhFR6CfYAJ9/+BvZWY4J22cf/uKaYCsUisgnaN5FpJR657gpgF0IUQXoAC4T6jHACCFEZUC4y5NSGl/bFQqFQqGIQNas3Eb/nk9TqUoqM2cuLH4DhUIRMQQ1GI0Q4kvgchwT6F5ALDBaStlSV2Y9cLOzTJF5Usp/TfUOAYY4fzYFjDoSwaMS4D7ySNmmvPa9vPYbVN9V38sX5bXfoPoeyX2vK6WsHOpGlFeC6idbSnkXgBDiFuAd4DnPW3hd7yhglD/qKg1CiOXlVfepvPa9vPYbVN9V38sX5bXfoPpeXvuuKD0h8S4ipfweuBjYC9QUQlgBnP9rAHucyV2eQqFQKBQKhUIRtgRlki2ESBRC1Nb97gccBQ4Bq4BBzqxBwEopZYaU0m1eMNqsUCgUCoVCoVD4SrDURRKAX4QQCUA+jgl2PymlFEIMBb4TQjwPHANu1W3nKS8cCbnKSggpr30vr/0G1ffySnnte3ntN6i+KxQ+EVTDR4VCoVAoFAqFojygIj4qFAqFQqFQKBR+Rk2yFQqFQqFQKBQKP1OuJ9lCiNpCiNlCiA1CiHVCiIec6ysIIf4SQmxx/k9zrq/oLH9aCDHCTZ2ThBBri8pz5ncUQqwRQmwVQnwkhBDO9cOFEKucabMQ4ngAuqxvh9/6LoSYI4TYpGt/lRL2/UIhxL9CiDwhxPXlqN+RPObRQohRznZvFEJcV8K+B23Mw7DvETnuQogkXbtXCSEOCyE+KGHfI+5a91O/I3LMnXmDnH1aLYT4UwhRqYR9j7gx91O/gzrmijBFSlluE1Ad6OBcTgI2Ay2At4GnnOufAt5yLicA5+MwyBxRRH3XAj8Baz3scynQDUewnWlA7yLKDAO+jpS+A3OATl7ss8i+A/WANsBo4Pry0u8IH/OXgFedyxagUriOebj1PZLH3VTvCuDCcB33cOp3pI45DucIhwrOcef2L5b1MfdHv4M95iqFZyrXkmwp5X7pjB4ppTwFbABqAlcB3zmLfQdc7SxzRkr5D5BlrksIkQg8Crzqbn9CiOpAspRykZRS4rjpXF1E0UE4wsgHDH/23Rs89V1KuVNKuRqw+9whLwmnfpuItDG/A3jDWc4upSwUES1cxty5v7Dpu4lIG3cAhBCNgSrA/CLywmLcw6nfJiJpzIUzJTgltMlAunl/ZXDMS91vEwEfc0V4Uq4n2XqEEPWA9sASoKqUcj84LlocN9XieAV4D8j0UKYmjgA8Bex1rtO3oy5QH5jlbdtLix/6DvCN87PYcwWfy0wU2/dgEy79jrQxF0KkOhdfcX4G/kUIUbWIomE35hA+fY+0cTcxCPjZObEwE3bjHi79jrQxl1LmAvcCa3BMMlsAXxVRtEyNuT/7HYoxV4QPapKNSwo9AXhYSnnSh+3bAY2klL8VV7SIdeab9UBgvJQyv6Tt8IXS9t3JTVLK1sAFznRLUbsqYl3I/EeGWb8jbcxtQC1ggZSyA7AIeLeoXRWxLqQ+Q8Os75E27noG4l4yF1bjHmb9jqgxF0JE4ZhstscRcXk18L+iihaxLmLH3M/9DuqYK8KLcj/Jdl5ME4AfpZS/OlcfdH4GKvgcdKiYaroBHYUQO4F/gCbCYRRn1Rk+vIzjLbeWbrtaFP4E5ekm7lf81HeklPuc/0/h0Env4mPfg0IY9jvSxvwIji82BS+VvwAdwnnMISz7HmnjXlBXW8AmpVzh/B224x6G/Y60MW8HIKXc5pTejwPOLQdj3g781u+gjbki/CjXk2zn5/2vgA1Syvd1WZOAwc7lwcDvnuqRUo6UUtaQUtbDYUSxWUp5kZQyX0rZzpmed36mOiWE6Orc9636uoUQTYE0HNKxgOKvvgshbMJpde28ufXFYfhZor4Hi3DrdySOufOh8wdwkXPVpcD6cB1zCL++R+K46zDol4bruIdbvyN0zPcBLYQQlZ2/ezjrLOtj7pd+B3PMFWGKDAPry1AlHBNiieNT0Cpn6gNUBGYCW5z/K+i22YkjLPxpHG+xLUx11sOzd5FOwFpgGzACHFE3nXkvAm9GUt9xWGevcNazDvgQsJak70BnZ31ncEgK15WHfkfqmDvX1wXmOeuaCdQJ1zEPt75H8rg787YDzYrZZ8jHPZz6HcljjsPzxgZnXX8AFcvDmJe238Eec5XCM6mw6gqFQqFQKBQKhZ8p1+oiCoVCoVAoFApFIFCTbIVCoVAoFAqFws+oSbZCoVAoFAqFQuFn1CRboVAoFAqFQqHwM2qSrVAoFAqFQqFQ+Bk1yVYoFAqFQqFQKPyMmmQrFAqFQqFQKBR+Rk2yFQqFQqFQKBQKP6Mm2QqFQqFQKBQKhZ9Rk2yFQqFQKBQKhcLPqEm2QqFQKBQKhULhZ2yhboC/qVSpkqxXr16om6FQKBQKhUIRUlasWHFYSlk51O0or5S5SXa9evVYvnx5qJuhUCgUCoVCEVKEELtC3YbyjFIXUSgUCoVCoVAo/EyZk2TrSc/cbfgtsRt+14yvV2wdGVn7C62rHFu9yLLHcw5r+5LSkJcWU/TXmiPZBwutqxhTtciyh7MOuJbtpr7YZb5rOTs/27V8Ju+0oZxF914lhDDk5dpzi9wvQKXYKq7lmXv/ci3XS65rKJdv19phri8z76xrOc4Wa8hLsCUYfnerelGR7dh6coPbNlqE1rc4a5whz2rRTnX9MdBvU7g+q9v6hen91HgkjUg3v+zSbsox/tajLytNNerJ0Y39ydwThrzTudq5cDjrsCFvzp5FruXdJ44b8mYvX+dafvHaAa7le0Z8YijXqGEt1/KoQY8WatvFNXoW2eY1R1e4lpOikw157sbKZjHfuvQjUPj4VIurXeS+9eivRfP4ms+T1OiKRdZxPOdIoXVFlT14dp/ht1V3rpnPO/15kWfPc9su/XkhTGek/vzJ190rAE7mHHctn8k7Y8g7nXuqUNsLqBpXzbW849R213KVuKpuywHUSqhfZH3mY6Jvp8VwrzJfbfp+G8dJf1zN9ztwf6/1hVOm6w0gKSqlyLL6Z4V5vPWY7xHuzrv9pmfdkkPa9ay/tyabri89iVFJht+xNu0eeizLeF4fyT5q+N2zVr8i60zPNApRa8TXLbKcGf2zzny/c/f89YT5OevpGSAM93ntnDG3Qz82ha837dwt6m5doYj5gLmN5rF31+8DZ/cYfi848E+R5RShQUmyFQqFQqEIEvoJtkKhKNuUaUm23SSx0UsybCLKJTnxJBk0v+VasLjess0SCHfSTAkczc4wrXFTVkrDW7yncm7zdPUXKqdrpKc6/IGn42rmpE5i1jilCdtPbQIg155jKOdJEm/ctz/aWJI8T7Jsb/dXegJbezH79nA+1U6s4/oKkZV/1pDn6ZgYzuVS9K5A2lPo64SX55MeAZzQSaw9t0q6JlVmCXIgKcmx8vW46vvj7f3IJmwGqau10BcJ45Ya3o1NSRBYXPdlTxJvo5TS+3ZI7JzMPVZovUVYjZJO3bHzfA5KwwTd7uX92+6Hu4Knc0R/v463xbvdLtYaZ5DW6o+5WWrrjnyZz4Gze7X69dJk4f4rhqcvlr7dyUtCYQm4NofwTs5pl3bDlx5P45GRqV7iwgklyVYoFAqFIkiYhT8KhaLsUqYl2Z4ItEQx0Ps2Szz8IZT2XqLif3yRqnuS0iuCT16ed5OHgH9BMdXvn3PZ31JVs6Z+KL9BaARCAm4YD4+HzrdjYLxvmWuU+h8GgnyLc2ERVvJ1uvWhaoeitAT2S4u3X1nN97tcu3qJCyeUJFuhUCgUiiCRbzJeVSgUZZcyLck2vwla/P5OEXhtrvDBD5Jmr/fkfju9VLIk9XsvTQsm4SG99Bf5du/0KgNNsL/ClCmkWX9U+20p9PXMu/M3V2pehmwR+cjx7/lktdgCPtH299ci8z3ZXf3m9f7/alW27pne432/zR6IFKFFSbIVCoVCoQgSSpKtUJQfIlGs4DWFdXaVhMtbzMcumJ4R7EqnzGcCfYYbjLZMl9fe/zSvEXpf7WYK2xOUV+lU+GOWXusxeBfxIGnTTyrtlvD42hFKgiHJ9odHEV8o9BUpiM1QT3cHmXlZoW6CQoeSZCsUCoVCESSUJFuhKD+UaUl2uOpmeooiFS6Y2+UpGqQvmP2DWoUuEqIuwp2/PIi4OxeklGF7noQK8/GwWrSxOpJVOKqdi6Oa9NrsCzvQ6Fts9h/sn/FV54iZwPt8D897o3u8a6+vkuySfPGx+Pl8NUc09NqnfIDvrZF2hgQC8zE4kxPce2+wEELUBkYD1QA7MEpK+aGpzEXA78AO56pfpZQvB7GZhSjTk2xFZJGbk4vV5j7EcCBQE2yFQhFMlCRbofCJPOAxKeW/QogkYIUQ4i8p5XpTuflSyr4haF+RlOlJtlla6i5ul7/eht1N2ATeR+fyNyWZRHqKrudvi+VKsZUNvzfv2sxtFw2h3blt+eKnT0s9+fV269BKss37DU+5jP7wzNqxWfuR516/Njs/x7TGg8cYf0vdIuLFybc2Brtvnu5b3kbp85bwPPv9T0kk2YF4TvmCJ+8iniIM+9vewips5MtweUkJj9ExBzc6mVM2dbKllPuB/c7lU0KIDUBNwDzJDiuUTnYQCNUEO5JYPvdfzpw8w4I/FzLp58lB229kTMgUCkVZQUmyfSd8JtgKXxGVYqVIji6chFgrhFiuS0Pc1iFEPaA9sKSI7G5CiP+EENOEEC0D1Q9vKdOSbEXksHa59jL65jPvcmGP80mrmBbCFikUCoVCofAruXY4t2rh9dP3ZkkpOxW3uRAiEZgAPCylPGnK/heoK6U8LYToA0wEGpe6zaVATbKJlI/23qP//F6ST/GePvsFWoKwdtk6AKrWqsLBvYd4+7n3eP3TVzy2Xwj1ISYY6E+Fdet3aj/s7q+U49nGe58/Phv7rlZSdr5WeBsyPhBuET258/OEJzW0YBLpX61K4vrSHy78pJfqQHrJvLSGz9PT32pogXE16n+Vk6y8CJD2W3xWl4vCMcH+UUr5qzlfP+mWUk4VQnwqhKgkpTzsc1tLiZqlKELOiWMn2LV5N1ExUbz+3ctEx0QzccwfLJ63NNRNUygUCoVC4S+EAGsRqdjNhAC+AjZIKd93U6aasxxCiC445rhH/Nj6EqMm2UFAmFIkki/zXclbLMJiSHqE7m/1srUANG3TmPrN6jH08bsBePGRV8jOch/URBG+nMnNNCS77s+M1P0pgo+7a9SMzWIzpFx7DmezM8nJzyZf2l3JjJTSlQA2rN3Ie68M5+CBQwHpjx79fSZcsFoC/wHZgnAlX9Hf8/VjWGAsXpBy7bmulGfPMyRF4LFLuyGZxyossYjCqXjOA24BLhFCrHKmPkKIoUKIoc4y1wNrhRD/AR8BA2WID4JSF1GEnFVL/wOgVWeHjcIdD97GH+OmsGPLThbOXsTFvS8KYesUvpKdmc2q6f/RoEN9qBfq1ij8ReaZs/zz5wL+/m02S+Yso9f1lzPkzTuK3S4vL4+Ph3/CB298TG5uLrP/mssfMycSGxsbhFaHD8rwUVGuEXgluTYjpfyHYuSUUsoRwAjfGhYYlCRbUSTS/OdGiuEJfTlPZQsm2S06NcMu84mKttHjyssAWL7wX3OtRPY3gfAn1mYzpJjoKFcykGM3Jh0HTh/hl3d/Y9xL4/nrx9lefwnxJIWJdIm3Xqrq7bURDKzC6kqesGBh6pjpXNnqel6+/w0W/r2Y/Lx8poydxrxJC9xuJ5FsWreZG3veyjsvv09ubi7JKUms/ncNzz72vG6szalsEhRJtrBqyUeptl46Wqh+XZ059hxXypW5hqQnIiSsASGw37L199Z8mY/VYjGksMQ3SXZEEhYjIITYKYTYqPsE0NO5vokQYpEQYrPzf0itRBX+Jzc3j7X/OoweW3Zq7lrfsVt7AJYvNk+yFZFCqz6tAVj351ql9lMGyDhwmPef/oiss1m07tySx15/kAeed3yl/fy5LzhywKj6mJebx9+/z+L2q4Zw9fn9WfPvOmrUqs6Pf4xmzJQfiImJ5vuvf+Sn78aGojshQ0myFeWaAkl2CXWyI5VwUhe5Xkq51rTuM+ATKeUPQoibgc+BS4LftJITyjd1T9b8vuom6uspTuJVEjau3kjW2WxqNaxJQloieU79v3ad22CxWFi/agNnTmeSkBjvt316wnh8yu6Fb0bf73ib8bYQE6NJsI+fPK1lnDFKqvRsP34MqsWQ2rASx7cdZvqkv7ni+l6OfQVAchsJcjFPEniPXnQCfB5666Xnize/JutsFt37XMBb37zq0v9c8c9KFs1awsf/N5IXvnuG7KxsJnw7ke8+/oEjhxwT77j4WK6+8SqefvEpklOSAHjl/Zf4v/v/x/8efprmrZvSun2rgPUxnLBabIUCiPgbqbN90Oval8RDSa5du77zPHiX8hiMJiKuTN8I7dNB27v5GMfZwmlaVwRCgDUs5LtBIWx7KoSoAnQAxjhXjQE6CCEqu99KEWloqiLNDesTkhJo3rYZeXl5/Ld8dSiapvAD9Xs2A2DC6ELelhQRxJa1W5ny85/Yomwu6TU4Jm3/G/4ESamJrJz3Hx//30iu7TqQ95/7kCOHjtCgWX2efutJZq2fwbPvaBNsgAG39ufG2weSnZ3DPTffx6mTp0LRtaAT6Am2QhH2KHWRkPCjEGK1069hKlAb2Cel447k/J/uXK/wA570rguV9UGXzpMOXoH+2L9LVgHQomOzQuU6desAwPKFK9z2oDzocIL/9ZH1OpUWk45wxfhkQzK0Q2qpEM3SXMkqBFYhqHdxY6wxNpYv+JcdW3YU2f5g6ioL018wCRdPFxYhjEn3hxCGZBGO1n728hdIKRl09w00adyEOJv2ZalS1Yrc88pdAMz8ZTYH9x2kUYuGvP/D2/w87wcG3X0DickJDsm36e/5t5+hZdsW7N65h6cfeY58e74rlVUsPn4JLIlOc54935WCqfvv6fo1j72PeyCQ+s0lIdBPHk/3C/0R8PQcD0vd93KmLhIuk+wLpJRtgc44hqBE1qFCiCEFoTgzMjIC0kCF/5FS8t8Sh5TaLMkG6HhuwSRb6WVHKlHx0dS5sCEAv/7we4hbo/CFhTMWs3LBf6SkpTDksTuLLHN+33O58s6+NGzdgFc/e5GfZn/HhT3PL3ZiFxMbw4dfvUdsXCy/jf2d334u++eIkmQryj3lSJIdFso7Uso9zv/ZQohPgUnAo0BNIYRVSpkvhLACNYA9RWw/ChgF0KlTJ69e3QLxfheWb40lwJN0IRC6dft2pXP40BFSK6RQq2HNQvkdurYDYPWKNeRk5xAdE+33NkgpjTqLhmiZvlESvcdA4ik6YIw1xpCnj+ZXPcGokaXfLiFe2+5onrH+hnWra/Xr9AKb9m3Fjr82MWnMZB54+t5CLtv8fW55GxVR4UB//sdYjOfFkTOHGfnKFwDc+393k5Ka4soz+zy/49lbAaiVWMuwXu8vuShPFQ2aNOD5t57h6Qef49lHnqfjOR2oU6+2cRw9DGEwx9fTnrw9iy3CGvCJdp5On9rX+49+rPxSR4R/bQyX+3rEI8q25NpMyCXZQogEIUSKc1kAA4FVUspDwCpgkLPoIGCllFKJqssI/y11SLHbdG5T5IMytUIqjZo1JDsrm7Ur1wWkDcUF4FCUnkpNq9K4RSOOHTnO7GlzQ90chZdknjnLk7c8y97t+6jbuA79b78+YPsaMLg/PftdzulTZ3jozkfJi4TQ0D5SFiTZZzOz+O3rSYx+70dGf/wDv3z9K39PmsWu7bvV5FNRPEqSHVSqAhOckmorsB64z5k3FPhOCPE8cAy4tSQVF7J01o1j2R1SI4WkerqT2dPN0Cx18Ld3ETt2li1YDkDbc1q7Ldfp3I5s3biN5Qv/pUPX9vj7G4Rd2j1Y30feWaJvv6+SI7Nv1ab1ariWN+7Y53a7WnWqupajrcZz5Lpbr+HNp95hwne/0fuansY2e+lZw1ddZl/qKMme9GXDZXohhPB6sqM/JlaLY9yyzmbx0M2P8d/iNVSuXol3f3iDuBjjFwiLDzIad96OhBC88fEr/LfiP/5dupKvPv2GoQ8NKXH9kYCvkuySSFL1vrhtumXz+e/pHqH3KFIgkZZSMm/qP3z8wkgy0g8XuV1Kagqt2rfg9vsGc1mvS93W72079FiFtURRh8MB/zxFzLV48FQU7l/ufAxGE6mEXIwnpdwupWwvpWwjpWwppewvpdzvzNsopTxHStnE+X9TqNur8A+nTpxi+m9/A3Bhz/Pdlut0bnHGj6VDSbKDwxU39CY2LoYl85axdcO2UDenzFMaaWJ2VjbDbn6UJfOWUrFKBUZMGE6teoXVufxNWsU0Xv/oFQA+fGMEB9IPBHyfoSBSJdmH0jP4v5ue4fm7XyEj/TCNWzfi5ocHcvN9g7hu8NWcd9m5VKpSiRPHT7Bg9iLu6j+Ut154169fJSJtgq1wQzkyfAwHSXZAKa0emFnS6W2eGYOE0aBqKAw+Tb3FgqWQTmRRJEQlkpl3pug6hKVIHUmtXdLwuwC9Pu/RrGNUiq3o+p2PdhOMskQZfK3qGf3Nj2RlZtHlwk40aFqfg5naA3X36V3US6oPaEFp/l26ivz8/ELH2yCZ0S2ezT9LnDWuyH3bsbukcIXH0CgJdif59JjnjIpZHL5KGwv2XxxpMRU4lXOyyLzE6CRO5xTtMm3niX00TNWc+Fzd5BwtswmMXPIXAN36d2XR5GWurIEtuxjq2XVyv2s5JSWZKwf2Y9w34xn96Q+8/PELRe77VM5JkqKTi8zTk2fPM0jo9AhhQerOa/1Y6MfeE57KSdxLpwTuZUz6680mbG59D9tlvlsPFJ6uKf016+ncEljc3nMSbUl8PuJLFs5aRIVKaXz+2yc0aOK4FrPys4jXeRXRH9co3VgczDxAtQRNP1/PyZwTbsdXSskFPc6nR99L+WvyTF55+nU+/uaDokribgQkdoS7cfNwXebLfNcXOk/lPI+98Oq69CTJLrxv41cYd9vFWOPIsWcZyhag//KYnZ9NrLXoMPanc0+RGJVUZF6cLZ7XHnybVQv/IzElkTuevJU+N/XE6vxiVcH5DJBSknUkh19/msgHr37EyPc/Z+WyVXz0zXCqVK1MrO6enOdlUB79cXVIsoveLl/asbp5HnscU2n3yle8p/GVlN6fvfm6NI+huxeMRFsiZ3TP+MToosc3bBCUafUQM2VajOcPQwtPk2hfJthmfJlgQ2GjI3e4m2BD0UZIBXh77PQTbDPuJgP5+flM/8EhxR5wV/9C+QUTbIBqNapRp35tzpw6w8a1mw3lPN3U3E2wwfiZ29MY+hogxNvPdb5KG70dG3cTbMDtBBswTLDNFEywAcME24x+gl3ALffeiBCCyb9M4/DBoj81ezPBBtxOsAHDBNuMtyoOnsr5avymv948Bffw5OLN3TXl2Lf7oCDGcu6Pz5m8066vRs+8/RQNmmrXon6C7Ql3E2zwPL4Fx+eZN54iNi6WP8ZPYcGchUWU9HRdehg3D9elfiLqqZznsffuuvQkyfa0b0/b6SfYnnA3wQbcTrAB/pm9gFUL/yMpNYnRc7+k3619Ck2wAVJj0qhWoyr3PX4P30/+hkpVKrF4/hLOa96dXl37cs+t9/He68P5+YdfmDtrHps3biY31/05Dcbj6m6CDbidYEMxY+rlc9zXYFLe4um69CTBP+PhGR+eCCwWS6FUVim7PVOELStmr2Tfzn3UqFOdC3qeV2x5V4j1AKmMKIJD3YZ1uKTPReTm5PLTl+NC3RyFGzY5X2ZbdwhNBMaadWpy3+P3APD8Yy+Rk5MTknYoHEgp+ert7wAYeO/1VKxSwavtzjm/C1MX/M4Fl55Pbm4uG9dt4vfxk3jn1fd4aMgjXH/FAM5r352LulzKwQOHAtkFRRghAKtFFEpllTKtLuKPt8uS1BEuBgf+6LcvRk3eMvm7qQD0v+M6LBZLIambXqokkXTq1pHffprEyiWruP0+zfa1qGAHCg1f9RfNUuLmaZoP85TEf1zLifWNXzGqxmuu/w5mHi2y7sEP3MzMKbP5+atfuPvhO4hPiAv4uBkMHyPQDZf/j4/7+8Phg0c4knGUxKREatWpaThe5vuK/jqNskS5LacnN984YbbpttN/gbjjgcH8+tPvbNu8na8++YaHH3/QQ38ii5IZPnqSnnpHaZ9LC2cuZt2K9aRWTOX6O6/FIixeGxNXqVaF7yd+w+lTp9m9ZQ+bNmxm6+ZtpO/bz8H0g2zetIXNG7cw4KpB/DZ9vMtFZCCfP2UN89fYKA9f+cICQZmWXJspPz1VhAV7tu5l1fzVxMbHctVNfb3aplnrpgBs27Q9kE1TBIF2XdrStnMbTh4/ycSfyn7gkUhj4xqHbXnTVk1CKjSIjonmhbefAeDLj78pVqUgkogkw0cpJZ+/6fCTftMDA4hPcK+G54nEpETad27PwFsH8OyrT/PpNx/z24zxzF0+i0ZNGrJu9XpuvnYwmZln/dl8RVgisFgKp7JKmZ5kW4TFkNzjn/Dc7kOZClMKBFr9voZv1h8rq7Aakh6bxepKUdZoQyqOKd9NA6D3dZeTmJKAXeZjl/nog3xbhNWVrMJK46aNEEKwc+suw8PWHD7WEB7aRwwjFeAQ34HAUzhdd+NpJsoS5TYlx8S4UlxstCFVjK3oSknR8Yak57YHbgFg9MifyM83TjiCHRLYMMY+XjeRjv4YbF63BYAWrZths9gM17b+urQIKzHWWFeKtka7khl9yGe76U9/zzHnnX/ZeTRs2pAjGUf4e9osrb0E/m4aSHwOq473Tyn9MbcJmytFW2MMqbh7wtxp89nw3yYqVqnAdYOvdpXVnwfeXzfGHtilnQqV0hjzx4/UqFmdpYuWceegu8nK9k6/XOHA/KwO9+eWcEqylU62QuFnsjKzmDXBEYzkhruu83q7uPg4atauQV5eHrt3FAr4qYgwLulzEbXr12Lvzr3c1vdufvvxd06fPB3qZimAjWsdkuxmrZqGuCWOyX//Wx33iTHfjQ1xa/xHpEiypZSMevsrAG558EZi4wPjtaJW7ZqMnfwTaRXTmDVjNncOHMLZs0qiXZYxC0C9cSIhhKgthJgthNgghFgnhHioiDJCCPGREGKrEGK1EKJDQDpQAsrtJNsoCXEvG5GmP2/RS+PMtVuEcCV/4U4CW7I6tD/zBaB/U64cV8WVkqOSDUmPWfK16p/VZGVm0aRtIxo2b+C+HYb2O1LDZg0B2LZxu1+ljebxLf33jOBLY/Xoj10hCYfuTy95jLZGkxyd6ErxtnhDirZEu1KU1epKZklEjYSarlQ1vpIh5cpcV4qNiuXp158kNi6WlUtW8cKDr3BJi5689/wHZOdmG6SZvlx7ZkmOp7+ySkmkWfpzVZtkN8Phq0P7M9epP7cSohJdqSQPT/1XknyZb0hS2rl6QF9sNhszp8+OAL/Z3snYfZVk+yrB149FvC3BkGyWKFcys3vbHras20pqxVSuvfUqrBarK0Vbo1xJfx6Y7312aXclT3kNmzRgzO/fk1Yxjb//nMmgq2/m9CnHi7fh/myqI1y/aHh77fmj/eb7vP5Ls81S+sBx/kZQ2OjRS8PHPOAxKWVzoCtwvxCihalMb6CxMw0BRvqz7b5QbifZCt/Jy81j+6Yd7N2xt0TbLZ/9LwCdL+tU4n02auKYlG/frPSyywKX9L6IBZtm89rHL9Px3A5knc3mu09+4Ja+t5NxMCPUzSuXZJ3NYseWnVgsFpq0aBzq5gBQsXJFLul9EXa7nXE/jg91c/xCpEiyN/7neOFq07kVMbExxZQuPa3bt2bCn+OoWq0KC+Yt5Nre/Tl6pGgDakUE46O6iJRyv5TyX+fyKWADYI6SdRUwWjpYDKQKIdz6FBVC5HiZTvja3TA3Qw09vnoX0UswgyHL1Pv69DWKob6vUSbJxqGDGXz8xqf8t2w1O7bsICfHoRt93yNDefKFx4mKcpQ/KDRpU6ItwbUspWT5TIcLvs6XdCwkmdS/cRflDaJxc8dDf+um7W6lA+GifxYuHizMx1h/XkRbjQ/NlBjNR27V+CqGPL1v4yjdzTAtJdFQTi8NS4o2+tw1nlsOvd201AoMGjyAq2/ux3/LVvPIbU+wfNEKrr7wej4e/QEdzmnvuYOG+jXCyV+I18GGvDx3A3GO50rHtbx+/Qby8/Np1LQhSQmO8dP7VTb79tZ7A/HkycYm3If11p+T+XZjHXbhqP+6m69hxh9/M3b0OIY9fr9DqdOAb8ckVHcLX8OqlwRvvX8YvMeYjuuGVRsBaNGueSE7l+SoFNdyfJR2n8/3EGDGfD/S+40vOA+atmjMb3+PZ2Dfm1m5YhUdm59D36v7cP2N19Htgq6Fht6z/2vvjkFk4r4/MV7YRoUSAaU2dBRC1APaA0tMWTUBvU7pXue6woEbHOThkH573B3gs5W+kmQriuXP32fQr9u1jPt2PJvWbSYnJ5fa9WphtVr5dPhn9O8ziP3FfMrdtGYzRw8do2K1CtRvUa/EbWjU1KEusnWjCsldFmnbuQ3jZv9E53M7cnD/IW7sfSvPPvQC+/akh7pp5YYNax2Tquatm4W4JUbOv/RcqlWvyo5tO1m8YGmom1NqIkWSveE/5/nQNrjnQ936dZj09690Pe8cTp86zdjvx3F97wF0anIOj977BL+P/4Mjh5WEO3JxG4ymkhBiuS4NKXJrIRKBCcDDUkpzxLWiZu+eJB3zpZRzi0lzgAU+dBQo85LswhLFcT+Mp0Hj+nTtdo6ulHEMwkUSVhKJqF7SoJcceazfdHysFr3f22hOnjjFC4+9xO/j/gDg/EvO48H/3U+ndp1ISExgyYKlDLnlXpYuXEbPc/vw6FOP0PzSxlSq6vCfnBKd6qpv+ayVAHS6uGOx0riiJPGNmzkk2du37CA/3+6MNlb6kfI2BHroKb2s1pNXkfgoTWIZZzV6A9GfT0nRmpRk8AUXGMrppZ4JpuiAFi++tFSqUpHvJn3NOy+8z3cjv2fsN+OY8MNv3HDr9Tz09DCqV62mK+3rmJm3cxN6PMDnRKAla57uFYWOgFOiuGGNY1LVpk0b4pzjp7+vWE33FWnV9pFj1/xfm/ftaez1x6HwlxfH+RodZeWGm/vz0TsjGPPdWLqdfw5G3EtjwxGHJNu3SL/eYvgS6UFarR9f/VjY7XY2rnYEJWrRtlmhrwcxui9hMRZtOatQv7QxNfdZ//XD3K7K1SszYcY4tm7ayi9jJjDx59/Zu3sfY0ePY+zocQgheP6NZ7n3wXuK3JcZ8/VmlHIHF2/tSwzHxOMmxh6kxriP3BkWCLeS7MNSSo+6pEKIKBwT7B+llL8WUWQvoA9ZXAtwK6mRUvYsvsEgpezjTbmiKFeS7F9+nMCjQx/n4bsf5cyZzFA3J+x59O4n+H3cH8TGxfLiu8/x9a+jaN+lHQmJjs+D55zXhVmL/6L7JRdyOOMITz/2LNe2H8iwax9l9uR5hrrmTHf87nxpR5/akpySRNXqVcjOymbfbv9JNyPhoVyeiIqK4unXn2Ta0j/o1/8K8vLy+PGrMdzcdzCZ6poNKAVGjy3bmG2JQs+gwTcA8MevUzh5wiy8iiwCPcH2Bzu37iLzTCZVa1ShYpWKxW8QIBo1bcQTzz/K/DWzmfLP7zzzylNccPF5SCl584W32btnX8japvANh7pIyXWyheNh/RWwQUr5vptik4BbnV5GugInpJTuVEWCQpmeZJt9/F7dvx8tWjVn5/ZdvPbs69gsNmwWG0JYDMkfGL0buLciNns7yM/PZ9eO3Zw6eco/7fDwZ/YCEG2JcaWFcxYz68/ZJCYlMm3BH9w65GZsFpvDellEuVLVqlX45Y+xfDH6M3r17YktysaqRat5/u6XWTxrKXG2eE4fyWT1ijVEx0TT9rzWRbbTKmyuZHOTmjil2ds2bfPb5DgSIv75C0/ngt6DSIw1xpD010bDtJqu1K16R0OKtca7ktlDid763Xxd6se44Jpp2KQBw796lxlLp9CwSQM2b9jC0w89hwWL01OKJ8v8SPekXHo866oWvt/pPYu0btO6SI8iZoz3Du38KbivFiR3Hm7Md0bzn/4cqd+gAede2I2ss1lM/OUP03b+HemSeKDxxZOTrzYzJdm33vuHJ08v+mOsL2dWFSnswULzSqL3u61f77DR0EZH703ELu0mTzImzyHYXQkck7JWbVsy5OG7+GXKz1zd/yqys7N5/7XhrvPM22MlhAiZ9ydP7fK2nDmZn+PJ0UmGFHYIn8OqnwfcAlwihFjlTH2EEEOFEEOdZaYC24GtwBfAfUU2QYjLhBBLhRCjnHXsEEL8J4S42A89NFCmJ9lmYmJi+PCL94mKiuLrz79l9l9zQt0kALZt3c5tg+6kS6tu1EqtR6cW53BBx4vJzAyN5C4/P59X//c6APc/fi8Nm7h3twdgtVq59oZr+HH8aCat+YVB9zmkTo/f+xTHjhxjjvM4t+7Wkpg4363UGzVtBMA2P3oYUZLs8KZRs0aM/HEE8QnxTBj7G99/9aNX2+3ZvZdnHn2OG6+6hfM7dKdB1Sb0uvAK/p4+M+QP1mBQ0j7u253OqROnqFS5IlWrVSl+gxBw4+CBQOT7zI4ESfbalesAaNEuvPTzY5wqaU8+/zg2m42xP4xj4/qNIW6VoiQUJeDz5sVTSvmPlFJIKdtIKds501Qp5WdSys+cZaSU8n4pZUMpZWsp5XI31b0GDMLh4u8boDtwMfCiXzqpo0xPsvXSUatTStaqbUsee+YRAB4c+ggnj50kShT2EVpAvsz3yVevHk/bHdx/iOv63MAfv01m29bt5OXlER0dzb69+/jp27FeRzEsyrc0CCrEVDJIIPRSB7Mf6wKp4+SxU9m4bhO16tTingfuwiZshuhuej/fFmExSH2SUpIY+sxdtDmnFRkHM3jm4ReY9edcALpc2smtf/Ck6CRXMktDCtretHkTALZu3O6UaNrcRnz01k+weTKiP3oywA9DzxN8s5Sv5NK65OgUo0zOS6lkSnSqIempllDZlQ5kHqROYj1X0tfRskJbgzTTKOmMcpuKkiI2btaI1z96BYDnn3iJ1f+udRwTN1+fjhw+yg19BvL1Z44X6U0bNnPq5ClWLPuXAVcNovfFVzB/zj/Oo1y0VNXu40TcLEN3d8w96ccXSO9KQ0nOedCpirRuicWiu37cnD9CCKM0U/cVLM4aT5Ql2pX054V5vL19yAoh6HvNFSSnJLNqxX9sWLvB6+Og9cViSO7wNAn2dFZ4+/3EU199fQE0Xzf6L1Fx1jhXysnPLiSV1pL2rFz3n+P4tmzXosiysdZYV9KvT4pKdvvMyrHnFBGXoOg/d2TnZyGEoEGjBtxy503Y7XZee/5NrM4IpIGkuK8abrfz4Ldfj/me4O3XFPNkNcpiM6RwJAwiPp6VUm6TUq4ENkspd0spj+LwNuJXyvQk2x33PzqUTud0ZP++/Tz16NMuF1ZF4Y9Pe+4ukhMnTtL/ygHs2b2Hjl06Mn/5HPYd28VXP4wCYMTwTw1hxH3hRM6xEpU/c/oMb7/0LgD/e+n/iI31fOMqMny31cqzHz1FQmICk3+bwrRJfwLQ+ZKSB1/ST3QbF0iyNzk8jOTZS3dsoPjP6oEk0BLVUzmB1V3tUsVsgKax6fg6v+7rqhv6cduQweTk5HB1j2tpWqMlddMaUjetIc889rwrQlx2djZ3Drqbndt30aptK0aP/4bZS/5mzfZVvPj681SsVJFli5dzda9r+e7L0W73589AUUXhyeWdpwmgt3g0fCyibwWeRfyhj2129ecv4uLiuHbA1QD89N3PAdkHeL7n++Os8DSJD/SXtTiTQXJR5Ofns/6/9QA0b9u8RPWfyXUfudXsFtYXYm1xruVHn3qYhIR4pk3+k8ULl5CdH9hw7L4K2bzF0z2hLCGcho/mFGSihXax3aJb7/e3knI5ybbZbHz65Qji4uIYN2Y848cUZaQaWLKzs7m5/62sW7OeRk0aMebXH2jRqgXx8fH06debps2asHfPXsaPnRDUdn06/HMOHcygQ+f2XN3/Sp/rqVG3Oq+88xLgsFRv3qoZVWqV7jN0gU721k1by8Unf4WRl956ngsuPp+srGxOHD9BVlYWWVlZfPnpV/S6oC/rVq/nsfufZMmCpVSrXpXR47+mR5/LaNWmJdWqV+X+R+5lxYZlPPbUowD838NPMW/2/BD3KjzYuMYhyW7VplWIW+KZGwcPAmDC2F/Jzs4OcWvKJju27iTzzFmq1axKxcoVQt0ct1SpVoX7HroXgBefeVk9EyIGty78gkm/ggUp5U4AIUQ08KS/dxSUngkh3nUqlkshRCvd+iZCiEVCiM3O/429yfN6v7j/fNe4SSNefftlAJ4Y9iRbNm518+HYkxGM+5KesNvt3HvnA/wzdwFVq1fll0ljqVhJs+C2WCw8/MSDAHz47selcjOn/2wbZYk2fDo0f2basn4bn3/okKK/9NbzWC1W3Wde7dO/p0/Iem697WZ69XV4yOnTt3ehY6n/S41OcyW9IZy+fZWrVKZCxTROnzrDwf2HCvXVFyMk3wmucZ2nvrlTeTBjUJ0y/+nqN58z+nIp0SmupA+lnRBlDEyjV0uKtsYYypk/PeuNrzxdb7GxsfwyZSxrdqxkU/o6dhzZyvR/ptKwcQM2rd9Mj3N7M/6nCcTFxzF6wrdUr1k40FdyUiLPvPgUwx69n7y8PG6/8S62btnmPI76IxeI8XVv5OcPPKmWuftcXXDObHBNsluaWqz/M6pb6FWA9GNtNpw1qpVEG5L++vbms3qb9q1p2boFx44cY8aUv0p0TIxqbqGzxSjkxjAA9y398U+wJbqS2ZjcaATraIOmj62pihQeN03N0BsVnOLw9nowlxv2yANUqFiBJQuX8u+yld7vL6jPCu8orM7kybTb/bEyq4GGI6GWZEspj0jTW5mUMscZJdKvBOv1YSJwIbDLtP4z4BMpZRPgE+BzL/P8wu13D+a6AdeSeSaTu24aEjS3fm+/9i6//TKRpOQkxv0+hjr16hQqc92Aa6ldtzabN21hyqSpAW/T0SPHuLX/7Zw9m8XAW26gc9eShz43I4Rg1Hcj+eTLj3noiWF+aCU0LAhKs0kFpSmPCCGoUq0KqWmpxMfH0a5jW/5aNJ1b7nDoZwohGPntCFq38yyRff6VZ+ndtxfHjx3nxmtv4fix48HpQBhy6uRp9uzcQ1R0lEslK1wRQjDoNocB5E/fRqYBZLgbPq5b5Zhkt2xXMlWRUJCcnMSNtzjOh3E/jg9xaxTe4FAXCbkk29Qm8Vyg6g5Kz5xWofpQlwghqgAdgDHOVWOADkKIyp7ySrJf8xudWSpjEVY++OR9GjVpyMb1m3jyof8VsmzxJPFzFNaSQSrgRrr46y8TeevVd7BYLHzzw5e0btPKVMLxFx0VzQMP3w/A8Lc/RErj27fF9Ofuzbawux/9MXFIkPLz8nlw8CPs3rmbdh3b8e5H74CpVUYpWSHzLop+4xYkJCQy8OYBJCQkGiWWJjdiekm5edz0qXEzxyRg68athcbbvUS3JG/JwZNO+4q3BlzFuXrSp8SoRFcqvD/tr0lqU1cyS6T15arH1zSkWGucK5mlafrzwlynu3Nc/5eYkMA7I97itxnj+XX6L/Tqe7lx9IuQWlmtVj7/9lNatm7Bti3buPeOB4zHjOCeCf6WapvvTe72JRBs2bAFcHhyiYoy6s0azx9j0v8Zx9BocG6UJrv3KKA/R2KtcYY69Vw74Gqio6OZO3NeIT/Jnu/XwR7VovGXCz8jxr4ZjqVNS56+IsVYYoixxLBulcPosV2HtgaDd6Pxe9Fj6OkeU7jF7s95/f3N+Gww1ykYeLNjkv37+ElkZ+cQ6vH1lZKcne7uheZzPpwk9RqFpdgh0Mk206/4Ir4RyteH2sA+KR3a/s7/6c71nvIKIYQYIpyhODMyMkrUiKSkJL7+6Uvi4mIZ9+Mv/PjdmOI38pF/l//LfXc5HuavvvUyl/W81GP5W26/icpVKrNyxSqfdUdPnzrNNyNHM6jPLcyb+U+RZV5/5i0WzVtMlaqVGf3zt8TFxRVZLhxopCTZCjd0O78r3c7v6nX5xMREfprwA6lpqcyY9hc/jQ7ctR/OFER6bBFm4dTdkVYhjd5X9kRKyQ/FuHTcu2cfF3S+iEvO7cHSxcuC1ELPhLMkOz8/n7X/FUiyWxZTOjxo1bolrdu25vixE/w17e9QN0dRDOEoySaAb2Uh75k/kFKOklJ2klJ2qly5RMJuAJq3bMbbH70FwP8eeYZ1q9f7tX2nT5/mx9E/ceP1N5OVlcWtd9zMvcPuKXa7uLg4brvrVgB+/3VSifaZcegwrzz7Guc2787L//cqi+cv4aHbH+XgAaMu87jR4/l25GiioqL4buw31KxVo0T7CTaeJNkKRUmpVacWb7z3GgD/e/zZchlBrsB9X7NWTUPcEu+57Z7BAIz84HM2rt9UZJl9e/bRr8fVrF29jpUrVtGze28evu/Rcq0aVBzbNm/nbOZZatauQcVK4Wv0aGbgTQMAR1RnRfgjROEUYgJmNRvKSfYeoKYQDs185/8azvWe8gLCwJtv4MbBg8jKyuLum4f6JeLijm07eOCeh2hapwX33z2MA/sPct6F5/Huh297/Rmn1xUOw8GZM2Z5bT2dn5/PDX0H8sn7Izl14hSdunWkQ5f2HD92nCeGPemq598lK3nukRcAeGX4i3Tp1sWHXgaXgkn2lo1Kkq3wD/0HXU/vfr04dfIUD9/7SLnzUrBhtUOS3SxCJNkAXc87h5tuv5GcnBwevPuRQq5O0/emc02v/uzcsZP2Hdvx8BMPOgQJX42mS5tubN2sXtKLYvXKNQDF2jSEG/0HXofVamXm9FkczjgS6uYoikFYLIVSWSVknsqllIeEEKtwRN35wfl/pZQyA8BTnrfYTLp8scTp8rSu59pzAHjj/VdZtWIV69du4PH7n+TLH0YVCtfqKUhFnj3PVf5wxmH6Xn4V+/amA9D13HO4+bab6D/wemJiNN/T1mJ8snbo2IGKlSqye9dutm3ZQeMmjkmmxOxTU5u0T5rwBxvWbqRm7ZqM/P5j2nVqS/redHp06c2fk6fz69iJnN/9fIbe9AA5ObkMvucWBg0eYHCGbzdZJev1IvUvCGZ9ulhr0ccYoFq85u0hMcoY7jXRpv2OtkS7lvOksf7qNaqTlJzIsaPH2L93P9VraXXqLalD/2JcNPrjVdjvqnetNntGcH9OGsvpx1B/jM2/zRbp+t/64DSFdSm13zEWc2RP3TkjzO1yv2/9p3XP/ovdH1d9XmHPDo7fH34ynMULljDzr9n88O1P3Hr7LRgpLgyJO4rerihdVtcWhcaz9Gez3uOI/hjn5+ezaf1mANo6w6kb9+zB04OuzRapLZvHXj+G5nuCTWi/k0z3BKsuT3988p33vlfeepF5M+exeuUaRrz3KY/+7xGiLFGsXbOOW2+4jZ3bd9K+QzsmTp1IWloqg24ayAP3PMiyJct5783hjPz6E11fgnfHsAhLCQJdeWqX+7z6SQ1dy/rjmIPR7aH+GWkRFrZtdETTbduuLfG2BFee3eTDWX+e6J9hiVHJhnL6sc/OP2vI01+n5me1/rwzXL/m89M5blWrVeXiyy/i72kzmfjL79x9/50YMR+r4L1Ie7az0N+b3N9P802+5/XnqzmYXpuKbUvcxqAiwkIH20xkq4sIIT4SQuwFagF/CyEKIlUMBYYJITYDw5y/8SIvIMTHx/P1T1+QkJjA7xP+4MuRX5W4juSoNBIsyQy97QH27U2na9euLF+zhOlzpnHLbTcXG9zFjMVi4ZLLLgZg1oxZxZa32+28/+aHADzy5IO06+S44GrUqsGLbzsMaJ969Gluvv4WMg5m0PWCc3jujadL1KZQIoTg3Au7AfD31Nkhbo2irFC1WlXe/eBtAJ554lkOHjgY4hYFh+3bdpB1NovqNauRWiE11M0pEYlJiXzw+fsAvPf6B/w27ncGD7ydCzpdxI7tO2nXoS0Tpzkm2ADNWjTjq++/xGKxMP7nCexP3x+Sdgc6kmxpSN/rOCZ16hZp/hTWDLipPwC//KS8jIQzgrDUyb4oUBUHy7vIg1LKWlJKm5SympSypXP9RinlOVLKJs7/m3TbuM0LJA0bN+SDke8B8L9Hn2XgNTexcsWqEtXx4osv8vfff1OlShXGjx9P46YldvFt4LLLHQaSM72YZE/69Q+2bNxCzdo1ueHm/oa862+6jst79+DE8RP8t3I1terUZOTojwt5FAh3+lzTG4AZk4r3k6tQeMt1A66lV5+enDp1mo/eHxHq5gSFdaudPpH9EOkxFFxw0fnccc9t5OXlMXTwfUz6bTIxMTEMue8uJk6b4JpgF1C3Xh36Xd2XvLw8vvzs69A0OoxJd355rRHmtjlFcfkVPUhOSea/f1e71dNXhAfh5l1ESnlGCGERQgwUQrwnhBilT6WpO+SvD+HINf2v5oXXnyM+Po7pU2dwybk9GHjNTezcvrPYbadMmcKrr76KxWJhzJgx1KxZs9TtuaSHQ5K9YN5CV/joorDb7bzzuuMF4aEnhhEdbVQJEELw/ifvUalyJRIS4vli7GdUiCDjlgIu7XUJ0dHRLFu4gsOHDoe6OYoyghCCZ150fNX5etQ3HDpYOOBRWWNtwSS7VeToY5t59tWnadq8CTExMQx9YAgrNy7nreFvkJKaUmT5+51RAr/54lsyM4MTGyFSSN8XuZPs2NhYrrre4Ylt7OifQ9ya4LJ54xZWLPuX48dPhLopxSJEWER8LIrPgQ9xaFxEmZLPhEXPwpFhj97Pio1LefCxYcTHxzN96gx6XNibZUuWF1n+zJkzfPz+CG688UYAXn31VS655BK/tKVK1Sq0bd+WrKwsFs5f5Lbc5IlT2Lh+IzVr1WDgrTcUWaZ6jWosWvUP/25cTovW4R9soCiSU5I4/5LzsNvt/D2leOm+QuEtbdq1pk/f3pw9e5aPh39S/AYRztrVawFoHqH3AoCExASmL5jKhr1reOO916heo5rH8l26dqFTl44cO3qMsT+Ur8mYJ+x2O/vTDwAUewzDlRsHDwLg5x/GkZ2dXUzpssPHH4zg0vMvZ+L4iaFuileE6ST7eqCTlHKAlPJ2fSpNpWHRs3ClcpXKvPT686zatJxLe1zM4YzDXN3zWiZPnOIw9pCSfXv28emHI+nYvDMvPv0yJ0+e5IYbbuDJJ590W68xwIYx6f/0QQN69LwMgFkzZhcZghiJJsX+vweJj43HZrEZjFcKqFCxApUqVzIEKTAHKtAHKTAHj/HU/jhbnCuZneTXSKjlSuaQ3Pp96YMNRFliTMlR5spr+gLw5+9/uY6Bvv3m4An6PD2eg1eEE94FAHIXICTKEkW0JcaV4m0JhmQVFl1yH2RGjznoiL4Oc7Ah/XE116+vQ9/GaEsMcdY4V9KHei8cHlqr3xwCWh/W29wufTsK6nr62acA+Orzrzl6+KjjeivyaBcxSj4GgvA2NLU5CJX7drg//vq+rF3jkGS3advaee2ZAngVOZYWg9EjgNVic5v0wUQ8jb1+fB2p6AA3hQKdYCEhLoGkxCTy7HmFjoX52FmFlQcedAT6GvnR56WygZNSupK3COE5ZLYvmI+J8Zx3vw/9dXL88HFyc3NJq5BGckKyIc9ToCD9+WK+v+oxj6/xWjdds4ZgVdo2nsKEx1hi6NrlHFq3bc3RI8eY/NsUt8Fugom312Lha8+7+4hV2Dh4wOETonr1GsRZ4w0p7BDhpy7i5DBQskArXlCmJ9kJtiRDSomu6EoJtmRXqhRbzZAqxlR1pdToSjSu1ZxpU6Zz1113kZWVxW2D7uCKHlfStE5L2jRuz3NPvkDGocN06NSeqVOnMnbsWL+/mV3eswcAM2fMLDL/j4mTWb92PTVqVucm59t8AbUTGrhShZjKrhTJXH5FD2w2G0vmL+XY0eOhbo6iDNG+Y3t69rmczMxMPh5ednWzjx45yv59+4lPiKdeg7qhbo7fSI2u5EpJUSmupOeqa6+kdp1abN2ylb/+DG4Ak1C4iEyJrkBKdAUqLpZLgwAAxcxJREFUx1Y3JD379jp8xNesVToVx9Toiq4UiOdNWkxlV0qOSnMlcLzk3nG3w4f6d19+77d9hjsHnEa81aqH/xcIQdiqizwHfCCE8KsObVj0LBKIiopi1KhRvPDqc0gpWTBvIYczDpNWIY1LelzM2N9+5K/5f9K7d++ASEG7dO1MckoyWzZvZdeOXYa8vLw8Xn3eEVDj0ScfISbG7D6t7JFWIZWuF3YhPz9fqYwo/M6Tz/wfAKNGfsmRw2XT726BPnbzls2wWt1LCMsiNpuNIffdDcDIEZ+FuDXhwT6nZ5GaNasXUzK8uX7gdSQmJrDwn0Vs3FA+DCAPOL0hVatWNcQt8YLwlWSvAy4DMoQQOfpUmkrVJLsECCF45ImHmLN4Jj+MG81/m1awdd9Gxv/xM5f37hFQFQObzcZFl3QH4G+TNHvM6J/ZumUb9RvU59Y7zP59yy69rrocgOm/zwhxS8KXM6fP8Pozb7L4nyXFlt25eRd5eWb/6+WTTp07clnPSzlz5gwjR3we6uYEhDVOfexItc0oLbfcfgtRUVHMnTWPwxnKgNpl9Fgz8owe9SQlJdF/4PUAfPfl6BC3JvDk5eWRcSgDIQRVqlYJdXO8wpdgNEKIr4UQh4QQa93kXySEOCGEWOVMz5ewWT8Ai4C+QA9T8plieyaEuMTL1L00DYkk2rVvS9+r+lC7bu2g6u5eernDkHLSr3+Qn++YDJ09e5a3X3sXgGde+l/EueMrDZf1vRSLxcLCOYs4efxkqJsTlkyeMJVRH33FoD638O5r77vOGzPZWTk8dN3j3NhtcLnxEV0cjzz+MABjfxyL3e5/38bZ2dmMGP5piaK5+pMC930tW0em+77SkpaWSvdLLsRutzPlj6mhbk7IKZhk16xdeo9YoeY2p8rIzz/+UuY9yGQcykBKSeUqlbHZQhZf0GsEAqulcPKCb4FexZSZL6Vs50wvl7BpDYDbpJTTpJRz9amE9RjwZkT+AnZRvIVGZSCxNI2JNKwW705os+GF3mioqIPqLljB5b16EBsby7w58xk84A4++/ZTvhn1Lfv37adNuzZc1/9aZ2Q07z79FjIC1EdwK+LUkBRul7n9SbqIX+Z+R1u0QDx5duMXGH1UMru0e4zuV0D1KtXpesE5LJy7iPtufJDOXbrQqHFDzrvgXJo3M0rn7PlZun5oExrHvvSRIoP30mR+QfM00TKbN7rLNUQCs0Szef1WV93vvvY+yxYt59OvR1ChSqqhhnUzNnL8yAmatG5USBqir9Om82ZkjtKmb4cnA6jCBpRWQ64ei5trJQ9TBDRdxMF8aXcbSdW8b/fnmuC8C86jZq2a7N61h6WLl9H13HOKrtNDBFT9uSV1UduEsDJqxJe8+IzjOdC6TSsefuIhrr7uKqxWY3vydfeDQi/1ulNGnyftpnNJFC5XYPTYsm1L3N3ejYaYxjr1fdNH9jPXpDe+spvubYZIl4Wi+enHXrdsij5YOPqt91x5TT/+nj6TSb9N5rY7bvO5nqLQt1l/7xRC+P2lKsZqDHLmyShWj/4YF0QnrlmzJkJYTFF+TYauHiKzuiPKFGVWfz6Z69efRN72xaJ7hrRv34GOnTuwYtm/TJowmRtvHeRhS9/wx5PCYohqWvjepO2rsIF7Afv3OzzCFKiKeLr3hgNCgNUHHWwp5TwhRD3/t8jFMqAhsNmflXrT00wpZQMpZX1PCcj1Z8PCFb3xZKBIjEohMSrFYJyZYEumeo3q/DxxDCmpKfw5eTp9L7mSD9/5GIAXXn0u4MYDBQYmBe1LjCraD60/iLclEW8yXE2wJVEtrrYrAfS/6VoAlixYxojhn/DwfY9yTttzeej+R8jw4hOwJ2v1ssAmZ1CGIcPuolLlisydNY+eF/TmhM6fqpSSLz9xBOZ45vHnSI5OIykq1ZUiEf11ajaOMlNwfRWcc/E2R3hvi8XCdTc4zq/xYyf4tX15eXl88ZkjomxySjJrVq/lzlvupvclV5CTUyoVQK/Iyclh04bNCCFo3jJyfWSXBP19KzEqheSoNAZeeyMWi4U5M+dw7NjxoLQjFF8tvKE0PrLD8X5x+923AQ6f92WZAwWT7AgweizAJkShBFQSQizXpSE+VN1NCPGfEGKaEKJlCbedCfwhhHhMCHGjPvnQDhfezMqu9rKu60rRDoWXdL/4QmbOn0GDRg1Yu3odx48d57wLz+XSHv7xyR1pXDvoGv5aNo1PR3/EMy/9j2v6X40Qgq9GfU3bZu35aPjHAfnUHyls3uB4Kb996GBmL/6b1u1asXfPPt5/40NXmUX/LGHdmvVUrVqVAQMGhKqpYUn/AQ7dzom/TiI3139yhCmTprJvzz4aNmrAhp1r+eDT96lQsQJLFy/j3+Ur/bYfd2zetIXc3FzqN6hHQmJhN5/lhcqVK3PRRReRl5fHtMnTQt2ckLKvQF0kwnWyC7im/9WkpqWyYtm/zJ8zP9TNCRgFRo9VI8HokQJ1EUuhBByWUnbSpZJGWvwXqCulbAt8DEws4fZ3AdHAA8BruvRqCesxUOwkW0o5E0AIYRVCvCyEKNJ1hZRSuXgIEo2aNGL6vClc0uNikpKTePGN58PQr3PwaNKsMVdc04fHn3qUr3/4ggUr5tGj52WcPHmSp//vWZfE0Ff8ObkKJseOHufQwQzi4uOoVacW1WpU44OR7yOE4OuR37Jlk0OVpECKPXTo0HLhmaYktGnXhsZNGnM44zBzZ83zW72fjXA8P4bcdzfx8fHcftdtXHP91QAs/Md9wCl/UeBZpFWbkgp7yh7XXeeQD036bVKIWxI6pJQRHVK9KOLj413RPd989e2w/YJQWg46JdnVI0SSLQRYhSiUSouU8qSU8rRzeSoQJYSoVILt3WlqNChNu7zWL5BS5gP3U07UQsKdtAppjPtjDJv2rqN9x3ahbk5Y0bR5E36bPIEPPxkOwKcff+qTNPvEiRMMG/oQlZOqMWrkF/5uZsApkGI3adbYpUrUpl1rbrnjJvLy8njh/15m987dTJ88g6ioKIYOHRrK5oYlQgiXp4Lx4371S53/rVzN4gWLSUpOYtCtA13rzz2/G4DHqK7+YtuWbQA0bd404PsKd6655hqEEMz8axanTp0KdXNCwuGMw+Tk5JCalkpCQtn5sjHk/iGkpqWycP4i/pn7T6ibExBc7vsiZJINuJNklwohRDXhlDYKIbrgmN+G3P9qSXv2HaCexGFEdLTZmERRwG13DqZO3Tps27q9xAEnpk2eRpe23fju69HY7XbefPVtzp49G6CWBoaNTn3sJs2bGNb/74UnSU5JZvZfcxh66wPY7Xau6t+PatUi5yYdTK53qoxMnjjZL+fAqE8cL2w3D76RpKQk1/qCSfaSRUvceoHxF7t37QGgbr06Ad1PJFC9enXO6XYO2dnZzJj2V6ibExLKmqpIAcnJSdz/8H0AvPHKW2VSmr3fGYgmctRFfJNkCyHG4HCx11QIsVcIcacQYqgQomBOej2wVgjxH/ARMFCGwYCXdJLdBfhQCLFTCDFfCDGvIAWicWUHYxhsbyyxi6/R/Z9NRBmSPzBHTCstNku0IZnDAntDcnSKIen7LKXEarVyjzPgxGcfF63eZQ5QnmfP5dmnnmPAtTeyP30/nbp0onmLZhzOOMzYH352tc99YHPP+/AdrRbzsTKE5tX9FUiym7Vo4sh3huitXKUyTz37BAArl68C4P5h93nYs/bnbr+F++Y5/Ls7fDkPSoM3hlqNGjekfcf2nD59hhlTZ3oML+4Jq8XGoYOHmDDuN4QQrmAo4Bi3WjVrUb9BPU6dOs3aNeu1feDteVb0ODnGSvsD4Zpk16lbxxTa2RSyXAhdcn/eGZI5jLShXVa3yXwfM/bNUxuN9fjCNddeBcDvv/3u0/bg8JWhT+4whNUuwWdyT9sVegqU8BwtSlVEH8renDyNlbdYhE1LRfz5iyH33U1qWiqL/lnMgrkLnZ6stDPK87Fyf/V5M9bg8PahTwKLKxnvdSU4F3R/B02SbJvFZkjhhhACm8VSKBWHlHKQlLK6lDJKSllLSvmVlPIzKeVnzvwRUsqWUsq2UsquUsqFAe+MF5R0BL5wJgW49VbgDQm2pOILmUiJ1qJ9Hs0+5PO+C6gYU/o3X7OHEW89jpzKPVF8oVKSYEvm3rvv57WX3mDe7PmkbzlEq1atOJx1wO0269dt4OPhnxAVFcVbb73Fgw8+yC+//MKgQYP4+IMR3Hbn4IiJjlcwyW5qkmQD3HXvnXz75Wg2b9pC1/POoV2HtgFvT4ItudgyZ/IKf6735Vpxh7feD8wvlf0HXs/KFSsZ//N4rr7+SkNeTk4Or7/0JnFxsQx75AGPn9t//nYCOTk5XHnllbRr1tG1/rTzejj3/HPZsX0nC+cvpF37wI3J7p2OqLF16ipJNjhc+T35+P+YMe0vMjMziY+PL36jMkDBM+zogeMA1K/TwLXutJ/v0frnFxT/DCjp89WdICi1UkWGPfwAr7zwKq+//CYXXnRhieoNJu7ukdn57p9ZERXt0Yk/1EMihRL1VEr5nbsUqAYqFKUhLS2NwYMdgQk++uijYsu/8/p7SCkZOnQojzzyCFarleuvv566deuydcu2iApasWn9FgCatCg8yY6KiuLjUR/SsXMHXnytpIGxyh/X9b8WIQTTpvzJ+J81d37Z2dncOuA2hr/zAa+//CZd2nZl8u9TivwsvXPHLt555x0AHnrooSL3c94F5wKwIIB62dnZ2exPP4DVai0TgUf8Qe06tenUuSOZmZn8OWV6qJsTdPbscXzZqFWrVohbEhjuuX8IaRXSWLRgEfPmlJ0P73a73SXJLuvqIpFKiV8nhBBVhRD9hBC3CyHuKEiBaJxC4Q8efPBBAL7//nuOHHFvB7F+3QZ+nzCJmJgYnnzySdd6m83GI488AsBH738c2Mb6iYxDhzly+AiJSYnUdOMtoEvXzvz9z3TO6dYlyK2LPKrXqM6wRx4gLy+PO2+5m7dfe4esrCxuvuFWpk35k7QKabRu25o9u/dyY/+bGXDNIDIOZbi2z8/P59477+P06dPccMMNXHzxxUXu57zzzwNg0YJFAdMf3bt7L1JKatSqERER4oLFDYNuABwRPssbe/fuBcruJDs5OZmh998DwLdflZ1Q64czDpOfn0+FihUixjOUEG5d+IWiLU97k0qzjxL1TAhxNbANeBn4HBjm/H9LaRqhUASSZs2a0atXL7KysvjiC/faTu+8/h4AQ4YMoWZNo4TvzjvvJC0tlcWLlrB44ZKAttcfbNrgMHps2rxxuXbv6E9eeeNlXn/nNYQQvPbSG7Rr1pEZ0/6iQsUK/DH9d+YunsU7H7xFcnISf06dzqUXXs6WTY6vCZ9+NJKF/yyiWrVqfPrpp27HpH6DelSrXo0jh4+weaNfA4+50PSxawek/kjl+gHXYbPZ+Gv634YXpPJAWZ9kA9x0qyOmyJRJUzhx4mSIW+MfXPrYEWa0HkaS7B5epMtKs4OSvj68CtwupWwPnHH+HwKs8LSREOJdIcQOIYQUQrTSrd8phNgohFjlTD11eU2EEIuEEJud/xuXsK1lHKO5UWmMXkKBVVgMybc6jMY40oMJSsHn+Q8//JDMzEyX8ZDdGe7YnRS7gMTERO68504APni/eLUTPd4ayHjCaPDk3qCwoIw2yW7qxrDMUij5E9/MHgvjT33s0iKE4IGH7mfMhB9JSEhgf/p+KlWuxOQZk2jdtpXT0HYIy1YvoX2HduzcvpMe3Xvx3dejeeX51wD48ssvqVixcLTYgnGzWCycd75DZWTRP4uxYDEavHkwONNfC4Xq1/3tcXkWqYtAEGWJcaXChqdu7jE+j6j3GIzFPBwDf9xLAKpUqczlvXqQn5/P+J/H++0cDhT+bFfBJLt2be3Fy5Nxpj++sRQ2YA2s0XOdunW4oPv5ZGVlMfm3yW6vFX+Taw9cBNcDBxy2WVWrV3U9Y6wiypDCDQE+GT4GAinlxV6kUkX6K2nP6kgpfzGt+w64tZjtJgIXAruKyLteStnOmfTKcJ8Bn0gpmwCf4JCYRyRJUSmFkqIw5rDWvuAu5HvPnj3p2LEjBw4c4MtPvzbkpcVU5sM3RwBFS7ELeOyhx4mOjmbKpCmcOpwZlPDyvrJhnWOS3cwPIbP1IZP1ST9ejpToSr6SYEsypHBBf+0OuGYQCxcuZNiwYcyfN59uHc4zhG2vXqM6U2dOpvcVvTh29BgPDn3Yobt9xy1cccUVxe5L08sOjHH8Lj8aPRaMvf5aMI+hPs98H9SXS4muaEjBJMGWTIItmdsHOzQfx/xQflRGpJSuSba7e19R+ON+HSwKzrdQjW/B+ZVgS6ZCTGVXKi0H90ee0aPjxThsJNmFEEIkCSFq6FNp6ivpJPuQEKJgNHcKIboBDQGP7haklP9IKfd4uxMhRBWgAzDGuWoM0EEIUfqzUlEuEULw5ptvAvDReyM4fuy4K2/BggX88ssvbqXYBVSrVo1evXohpWT8+PGBbnKp2LS+QJJd2OhRUXratGnDRx99RLNmRb/EJCQk8NP4H7hrqOPrR516dXj9He+i8xZIshf8szAgetnKR7Z7+vbtS2pqCqtW/sf6tetD3ZygcOTIEbKyskhJSTH4bS+LXHfddcTGxrJg/kLXy2YkU6AuUr169RC3pASIwASjKXWzhOgmhNgMHAf2ONNe53+fKWnPvgDOdy4PB2YD/wGflqINPwohVgshPhVCpDrX1Qb2OaNMFkSbTHeuL4QQYogQYrkQYnlGRvnSpVN4z2WXXcall17KieMn+Og9h+R6145dXHPNNYDDQLI4Sc6AAQMA+PnnnwPb2FIgpWTjBjXJDjVWq5V3P3ybabOmMOufv7yewDRr0Yy0tFT27d3H7l27/d6ugjqV+77CxMbGcm3/awEY82P4XuP+pChVkbJKcnKy637/80/jQtya0nPAGVK9avVIkmSH5yQbh7bEZKA10MCZ6jv/+0xJXfi9JaWc4FweDTQBOkopn/Nx/xdIKdsCnXEc+xG+VCKlHCWl7CSl7FS5shJ2K9zzxhtvADBqxJds2rCJQdfcTEZGBpdffjmvvfZasdv369fPIQlZsMDl9ircOHjgEMePHSc1LSWibr5lESEE557fjcpVvL8vWSwWup3niP74z7wFfm/Trp1qku2JQTc7Qt3/PGZcwCNvhgPlwehRz623OrRbx/wwNuIjQEam4WNhO4rS2FL4kfrAY1LK9VLKXfpUmkp9ceFnFUKcJ4Toj0Oy7LMJfIEKiZQyG4c0/Dxn1h6gphCO8F3O/zUopdi+LBGGJ2hE0LlzZ/pd05esrCx6nNeLzRu30LJlS8aNG0dUVPFGIklJSS692l9+0cwTfIng5i/0+7ZgYVOBPnbzZkRZo1yRvwzR+kzR45QHEv9QVARWX4wFu1/sCJjx0w9j0Ju4FYoe5+X4FZTJysri4IGD2Gw2ataq4XCnpasvz57nsXfBNQUs2uiyUKRIPxt6n9O1Cw0a1md/+n7mzvbsU9lokBnoIxOYPbjzkW0+c8PZCLQkXHbZZVStVpVtW7exbOnyUDfHK9xFOT3oNHysphOmGKO0ht9ICVF4/hImc5glQFN/V1pSF35tgC3AL8ATzv9bhBAlDk0mhEgQQqQ4lwUwEFgFIKU85Fwe5Cw+CFgppVS6IG7Il3luDY/KKkUZ43nD0y8+hcViITPzLJWrVGLy5MmkpHhvvBjuKiMuVZEWfr9feE1ho8iyex76A71hFMCNtwwiOTmZeXPm+9Vl5J5dTqllnVpuI5fq21Ie7iNmkqJTGXzrbQD8+O0Yz4XLAKGSZOvPrWDeL2w2GzffdDMAE376NWD7CQauaI8RpJMtCCs/2TcWJGAmMEkI8ah+vTPPZ0ras69xePqoKaXsAtTEoeLxtaeNhBAfCSH2ArWAv4UQ64CqwBwhxGpgLQ7Vk/t0mw0FhjkV0Yc5fysUpaZJ08bc/8h9VKlamR/Gj6ZevXol2v6KK64gISGBpUuXsn379sA0shRsdBo9Nisi0qMiMkhNTWXo/UMAePeN9/1Wr9LH9o7bb78dm83G+PHj2bF9Z6ibU2rS09P5559/ilSPKE862QXccosjtMe4cePIy/P09SZ8kVJq3kUiTC3Q/EXOKjz6zggkr+nSECAKx3xTv947i3U3lHSS3QT4QDqvVOf/DwGPPqyllA9KKWtJKW1SympSypZSyu1SyvZSyjbO3/2llPt122yUUp4jpWzi/L+ppJ1TKNzx4mvPsWHXWjp16VjibePj4+nXrx/guEmHG+ucXhGaNi+9+z5F6Lh32L0kJCQwc8ZMVq5Y6Zc6lWcR76hduzY33XQTdrudj4ZHRpRXd6xbu562bdtywQUX0KdPH3bs2GHIL2862eDwDtSkSROOHDkSELsHX1m9ejX9+vXj77//LrbssaPHyMnJISUlmbi4uCC0zj84VL4C7xfdG6SU9b1IwTN8BKYCV5rW9QOmlKYRCkWkMXCg0zgqzFRGTp06zX///ofVaqV9p3ahbo6iFFSqVJE773H49X3vzeF+qbPA6LGukmQXy//93/8B8P23P3Do4KEQt8Y31q1dT58eV3D48GGEEPz555+0bNmS119/nUmTJvH555+zbt06oHxNsoUQXHfddQD8MXFyiFvjYPHCJXTv3p3Jkyfz3nvvFVu+QFWkakQZPRJ2LvyEEFWFEDe4yevvdCntM8X2TAjxvRBitBBiNA5/2GOFEAuFED8LIRYCP1OMn2yFoqzRq1cvkpOTWbVqFZs3Byb8tS8sXrCY/Px82ndqR1KS70FhFOHBgw8/QGxsLFMmTWXtmnWlrm+PU12kbr26pa6rrNOiRQuuuuoqsrOz+fTjz0LdnBKzbu16rri8L0cOH6Fnz57s2LGDm266ibNnz/LMM89w1VVXMXToUA4ePEh0dDR16pSvF69rr3W4apz8+xTsdntI2/L3jL+5svdVHD9+HIAVK1YU6/nkoNN9X6SpiogiDLhDqC4C8CTutTEaOvN9xpvXh63ANmdaC7wOTAfWO/+/DpT+7q8oETZLdKGk8I4oS7Qh+UJMTAxXX301AN99951f2uW75b625T9zHVECu190YRGeLdyHyA5GmOzygPkTaGkfHlWrVWXwnQ6XY++/ORyLsBmSwKIlD6HHC7wR7NrpUBepU0/Tv/X1YVeayJ7eIKXdlezS/STIcAxK7jDLI0899RQAX3z2JSdOnAipR57C3j20X9L0d+zYMfr27MfhjMNcdvmlTJw4kbp16/LDDz8wY8YMevbsSZ8+fbjzzjt55plnmDx5MomJ5eulvGPHjtStW5cD+w+wdPFSP9devC+WY8eOMevvWbz20mv0v3oAmZmZ3HbbbVSoUIGMjAyPLmItwsLBAw4/EGajR3sEuCUMM+8ifYAv3eR9DfQtTeW24gpIKV8qzQ4UiqIoC94m7r77bkaPHs0XX3zBo/97iNjY2FA3iXlz5gNwQffziympCBbeer0pIDHK6OnmwUcf4JsvvuW38RO5c8g8LrzoQp/bUhrDx0BPqovff9H3jFO5JwK2z65du9K9e3fmzp3Lj1+P5f5HI8P+ftGCxWQcyqB1m9aMnTDGcG/q0aMHPXr0KHGdZeGerUcIwbXXXsvw4cOZ9NsfdD23a1D2e/z4cS677DJWrFhhWH//g/fx0fCP6d27NzNmzGDFihWurwsVYowaC6dyj3Ngv8OErShJdoGXonBEONVFwohqUsqDRWVIKQ8JIUqlj+ONusgl3qTSNEKhiETOO+882rVrR0ZGBhPGhd4V1PFjx1m9ajVRUVF06dYl1M1R+IlatWvx2JOPADDs3ofIzMz0qZ4zZ85wOOMw0dHRVKseYXqcIaRAmj18+HDOnj0b4tZ4R/q+dAA6duoQFi//4YpeLztYgWnmzp3LihUriI6O5pyuXbj3gaGM+3Usb737BhaLhU6dOgGwfLlnH94u933Vyoe6iBDiayHEISHEWjf5wunJbqszingHL5uUI4Qo0geic32ul/UUiTevE1+Z0p/ANOAH5/8/cS9qVyjKLEIIhg0bBsBnn3we8uhhC+YtREpJ566diY+PD2lbFP7l0ScfoWWrFuzYtoNXXyw+MmlR7HYaPdauUxtLeEmSwpqePXvSvn17Dhw4wFefe/RWGzakpzsm2dVrRo7/5FDQrVs3qlWvxu5de1i18r+g7HPTJoejtKFDhzJr/t+8O/xtrujXx6V+1LGjw+NVcZPsAvd9EWf4SFHBdby6H30L9PKQ3xuHbnVjHO74RnrZnAU43PYVxf3AfC/rKZJie6Z3ZQJ8AXwMpEkpawBpwEfO9QpFuWPQoEFUrFiRlf+uYuniZSFty/y5/wBKVaQsEh0dzcejPsJisfDpRyN9ilRX4L5Pr4+tKB4hBK+88goA77z1HqdOnQpxi4pn/z6HKkGNGjVC3JLwxmKx0PcqRwTfSb/+EZR9FkyymzYtOlhYgSS7OOPHAwci2fCx5DrZUsp5wFEPRa4CRksHi4FUdxJqE68BjwghvnBqZjR1/v8CeBR4xYs63FJSccYjwFNSykwA5///ORuiCCHlKSJbOBEXF8fdd98NwGeffl5kGV8MGguHMdYbd5nzHH/znfrYF13c3RFy2/RnCMetDB8jhoLx6dSpIw8+Mgy73c79Qx5g0m9/MOeveSxftILszBzjaJoM9KzC6or2WK9eXZNRZOj91YY7ffr04dxzz+XI4SN88pG3ArLQsW/fPgBq1lKT7OK48mpHzINJv/0BJfgY6ene6cnssbhJdu3atalcuTJHjhxh165dbvceidEeAacLP2uhBFQSQizXpSElrLkmoLcW3etc5xEp5XIcrqm7A3/jcOrxt/P3lVLKf0vYDgMlvaOeAczKnp0B35QEFT5TXkKnBwJfQrF74t5778VisfDb+ImczDhT+gb6wOGMw6xft4HY2Fg6d+kUkjYoAh9O/pkXnqZR44ZsXL+RmwfcwnX9rqfnxb25qvc1xaor7dq5Eyh70R6TolIMKRAIIXj99dcB+Oj9j8k6kWsKP59MYlSKIYWS9PTSS7KDFeY81Jx/4XlUqFiBrVu2snH9xoDvr7hJthCiWJURKSUH0sucJPuwlLKTLo0qcdWF8eq1SUr5l5SyCdAUuABo6gyEWHxUoGIo6ST7OeBPIcRPQoi3hBA/4dDJfra0DVEoIpU6depw9dVXk5eXx+efFy3NDjQFUcu6ndeVmJiYkLRBEXji4uIY//sv3HbHYPpd3Y9LelxCcnIyy5YsY+Zfszxuu0v5yC4V3bt35/LLL+fkyZO8/fbboW6ORwrURZROdvHYbDZ69r4cgJl/zw7ovo4ePcrhw4dJSEigZk33Qla9ykhRHD9+grNnz5KQkEBSUuS9AAXIhd9eQK8LVwtIL0kFUsotUsqFUsot/mgQlHCSLaX8HjgH2AAkAxuBrs71CkW5pcAAcvjw4Wzdsi3o+583ex4AF3S/IOj7VgSXRo0bMeLzjxnzy49MnPIrjz3p0NZ7/233USHz8vLY4JTS1VEh1X2mQJr98ccfu4wLw40zZ85w4sQJYmJiqFChQqibExFceJHjvvmP064lUBQELmvSpIlHP+vFeRjZuH6Do56m7mKohC8CgcViLZT8wCTgVqeXka7ACSnlfn9UXBpK/PogpVwvpXxFSnmvlPJlKeX6QDRMoYgkunfvzrXXXsvJkye5ecCtPrtZc0dubi4Drx3EIw88WqRaQIHRY8HDQlF+uPOeO0hJSeafeQtYsmhJofzc3Fxuu/kONm/cTGpqCs2aF/2ZWlE8HTt25LrrruPs2bOcc845/PzzzyH3KmTGZfRYs3rQA+ZEKudf6DAWX/jPQvLz8wO2n+JURQooUBdxZ/xYEP21ZeuWfm5h4BHCN0m2EGIMsAhoKoTYK4S4UwgxVAhR4Lx+KrAdRwDFL4D7AtWHkuCNn2yvLCuFECpojaLcIoTgm2++oXHjxqxds5aH7nvEh4dvYZPGgjR10lSmTp7GV6O+5qfvxxi22rF9J1s2byUxMZGOnToihAUhLERblX/cskbhSI4WUlNSufteh43Q+29/gEVYiLXGAZCdnc0dN97NxAm/k5yczIRJ40lODt9AFXpCGV3RE8OHD6dDhw7s3buXgQMHcvHFF7NuXfCDHhsjfGqG0ekFqiLKs4jX1K1Xh7r16nD8+Ak2rNmIVdiwCptHo3XP52bRpo/eTrJr1qxJ1apVOXbsGDt27CiUvy6CJ9kUYWztjcG1lHKQlLK6lDJKSllLSvmVlPIzKeVnznwppbxfStlQStnaadAYcryRZD8shKgvhGjgKQEPBrqxCkU4k5yczK+//kp8fDxjfhzLj1+P9Vvkra+//Ma1/ORjT7mCTWRmZnLbjXcA0LPP5URFRRm2S4up7Ep6Y0+zkVaoDbUU7vHGSPe+YfcSFxfHtCl/sna1I1ZD1uE87h50L9P++JPU1FRmzpzJJRdcVsjwt7wYuPmL2rVrs3TpUkaNGkWlSpWYO3cuF198cdgEqimYZNetXVcZxntBwXVw8UWOmHoFUXMDgXmS7e7aE0J4VBkpkGS3isBJtgCfgtFEKt5MshNwiN+LS8raSlHuadWqFaNGOYyiH3zwQf79t1TefwDYvnU7s2fOITY2losu6c6JEyd58P5HsNvt3HvX/fy38j/qNajHux+GtzGWInBUqVKZwXfcCsCz/3ueIbcPpV69ekydOpWKFSsya9Ys10NbUXqsVit33303mzdvpnXr1mRkZPD777+HulkA7Hd6FvFkWKcozMUXXwzA/HnBm2R7wt0k2263s2GdQye7ZavIm2T7KskOeKuEqOMmlcp9izfBaCxSSqvzv6ekQswpFMBNN93EvffeS05ODjfddFOp9bNHf+OwK762/zV8/tVIUlKSmT51Olf1uYZfx/9GUlIiP//6ExUqKiOn8sxDjw7DZrPx94yZ/PTDGOx2O/3792fBggW0b98+1M0rk6SlpTFkiENVZ/To0SFujYMCg0w1yS4Z3bt3B2DB/MDoZefn57N161bAYfhYHO7c+O3atYtTp05RtVpVKlWu5Pd2BoNwnGQDO4EdRaR0IUSmM6x7iT9Nh0XPFIqyxnvvvUfz5s3ZuHEjz/3vBZ/rycnJ4cfRDh3sO+6+nRo1a/Dme28AMGfWXIQQfPX9lzRr0cwv7VZELrXr1Obhxx6kQsUK3PvAULZu3cq4ceO8kpopfGfgwIHYbDamT5/uisIXSgoMH9Uku2TUrVuX+vXrc+LECVavWu33+nft2kV2djY1a9YkMTGx2PIFk+x///0Xu93uWr96taNtkamPjTM4VkBc+JWWu4B5QA+gifP/HBwGlNcArYB3S1ppWPRMoShrxMXF8eOPPxIVFcWokV8wfdoMn+qZMmkqGYcyaNGyBV3O6QzATbfcSO8regHw8usv0bPP5X5rtyKyefHVF9h9YAfvDH+L+vXrh7o55YJKlSpxxRVXYLfb+fHHH0PdHPbtU5JsX9FURvzvyq8kqiLgCCRUu3ZtTpw4wapVq1zrCybZkaiPXYBFWAulMOD/gP5SyllSym1SylnAIOARKeV0YCDQp6SVBmWSLYSoKISYKoTYJIRYLYT4VQhR2ZnXRAixSAix2fm/sW47t3kKRbjTvn17Xn31VQDuG/IAGRmHDfmFApuLwumbL78D4I67b3NZsVssFsZO+IlV6//lkccfKtNGIwpFJDB48GDAqDLiyTOFtxjvBxZDckeBTnatWrVKsefyyUUXXQTA/Ln+18sumGR7oypSQO/evQGYMmWKa92aNWsAaNWqZanOrVDhIeJjqKkGmK2XM53rkVJuB0rsISBYPZPA21LKplLKNsA24E1n3mfAJ86Qlp8A+pB5nvIUirDnscceo3v37hw6eIjnn3yxROHct23ZxrzZ84iLi2PAjTcY8qxWK40aN3T9To5KIzkqzeVNQHkVKJvE2xINyTjexjDfkU4k9adPnz5UqFCB1atXG6SOwSYvL4+DBw4ihKB6dRXtsaQUTLIXzF9IDHF+rbukkmyAK664AoDJkye71rnURVq18GPrgkuY6mTPB74VQtQVQliEEPWAL53rEUK0BkqsDxaUnkkpj0op5+hWLQbqCiGqAB2AAse/Y4AOQojKnvKC0WaFwh9YrVa++eYbrFYrY8eOZf9+7wNQjRvzCwDXXH81qampAWqhQqEoLTExMQwaNAgIrQHkoYOHsNvtVK5SuZA7T0Xx1K5dm4YNG3Ly5Em/vyz5Msm+9NJLiYmJYdmyZRw6dIjMzEy2bNmC1WqlaYQGlXL49w9LdZG7gAo4jB1zcQS2qQLc7cwXumWvCfrrg3B857oXRwjM2sA+KWU+gPN/unO9pzxznUOEEMuFEMszMjKC0xGFwkvq16/PlVdeSV5eHl999ZXX2y1a6Ije16df70A1TaFQ+Ilbb3W4UPzxxx/Jzc0NSRvSnaoiNWooKbavFEiz58yZ49d6fZlkJyQkcPHFFyOlZNq0aaxfvx673U6Tpk2IiYlQr8k+RnwMNFLKg1LKS3HMMbsBtaWUl0gpDzjzV5uExV4Rip59DJwGRvirQinlKCllJyllp8qVlaBbEX7cd58jwuvnn39OXl5eseXz8/NZsXQFAJ3PUf6NFYpwp3PnzjRr1oxDhw4xY4Zvhs6lZb/T6LG6mmT7TMEke9asWX6r89SpU6SnpxMTE0PdunVLtG3fvn0Bh8pIWTB6FISnuohTRWQg8CgOqfYLQohRQohRpak3qD0TQrwLNAYGSCntwB6gphCObwXO/zWc6z3lKRQRxSWXXELjxo3Zu3evQb/OHRvXb+L06dPUqVubatWrhWV4aYVCoSGEcKmMTJo0KfD7M/w5Ji8FkWBr1lKeRXzl0ksvBWDu3Lnk5OQWa2jqQBqS2YB98+bNADRq1AirtWSqEQV62TNmzGDFCofgpWXrFq66LRH3TBDhGvHxc+BDoBYQZUo+E7RJthDiNaAjcLWUMhtASnkIWIXDTQrO/yullBme8oLVZoXCX1gsFu69914ARo4cWWz5ZUuXAdCpi5JiKxSRQsGEaOrUqUgpg77/gpDqSl3Ed6pXr07r1q3JzMxkyeKlfqnTF1WRAurVq0fLli05efIkP/zwAwCtWrcylEmKSjGkcCZcJdnA9UAnKeUAKeXt+lSaSoPlwq8l8DQOSfRCIcQqIcRvzuyhwDAhxGZgmPM3XuQpFBHF4MGDiY2NZcaMGWzZssVj2WWLHZPsLl07B6NpCoXCD7Rv356qVauyd+9eV+jrYLLfGe2xek01yS4Nl1/uiD0w6y//qIyUZpIN2svbyZMngchWFwnXsOrAYcDvQtxgeRdZJ6UUThd+7ZzpGmfeRinlOVLKJs7/m3Tbuc1TKCKNChUquD4nf/bZZx7LLlviCKWr9LEVisjBYrG4fBtP//OvoO9fM3ysEfR9lyUKJtkz/TTJXrt2LeD7JLtALxsgNTU1otWBhCBc1UWeAz4QQlTwZ6Vh8fqgUJQXCgwgv/nmG86eNfu9d3Ds2HE2bdxMTEwMbdq1CWbzFApFKenTxxEUbsafwTd+VOoi/uGCCy4gJiaGVStXFQoiVlKysrJchrDdu3f3qY5u3bqRlpYGQOvWrSPcNidsJdnrgMuADCFEjj6VptKw6JlCUV7o1KkTnTt35tixYy4/2AUUmDD9u+xfANq2b0N0dHQomqlQKHykR48eWK1WFi1YzMmTJ4MyIXIY5gmX4aNSFykdcXFxXHDBBUgpmTtrDgKwCZuHLYQh6f/mzZ7P6dOnadeuHfXq1fOpPTabjV69egHQpk2bQvuLJARgKeIvDPgBWAT0BXqYks+ERc8UivLEgw8+CMCnH40s0jhqqdLHVigiltTUVM477zzy8/OZ9ffsoO33xIkTZGZmkpiYSEpKatD2W1YpSmWkILKuOXli8u+OkOjXXHNNqdrz5JNPcuGFFzJkyJBS1RN6hMtjiz55taUQvYQQm4QQW4UQTxWRf5EQ4oTT7m+VEOL5EjSsAXCblHKalHKuPpWgjkKoSbZCEWRuuOEGqlWrxob1G5k7e16h/GVLHfrYyrOIQhGZuFRGpgVPL7tAVaR6zeoRrk4QHrgm2X/P8tlTTH5+PlP+mAqUfpLdtm1b5s6d65RkRza+qIs43Th/AvQGWgCDhBBFxZafr7P9e7kEzVoGNCxBea9Qk2yFIshER0dz//33Aw5pth673c7yJUqSrVBEMq5J9vS/sNvtQdlngWcRZfToH1q3bk2VqlVI35fOxg2++VxYungphzMO06BBA1q1alX8BuWAUrjw6wJslVJul1LmAGOBq/zYtJnAH0KIx4QQN+pTaSpVk2yFIgTcc889xMTE8OfU6Wzdss21fsumLZw4cZIaNatHtAW5QlGeadWqFTVr1eTggYOsXrU6KPtURo/+xWKxcMmlFwMw86+ZPtXxh05VRH1dKED4qpNdE2Mwwr3OdWa6CSH+E0JMc7qP9pa7gGjgAeA1XXq1BHUUQk2yFYoQULlyZW4Y1B+Azz753LV+6RIVhEahiHSEEFzey2EvFSxXfvv27QOgRk0lyfYXl/a4BHCojJQUKSWTf3dE9y2tqkiZQriVZFcSQizXJbPyeVFvKWY9nn+BulLKtsDHwERvmyWlrO8mNShB7wqhJtkKRYi49wFHbKUfv/uJ48dPAMLlH/ucrl0MFup2GZxPzgqFwj/07O3Q6f3rz79M/iYEAosr+YrU/YFOkq0m2X7jYqcke/7cf8jKyirRtmtXr2Xnjl1UqVqFrl27BqJ5EYlw78LvsJSyky6NMm26F6it+10LSNcXkFKelFKedi5PBaKEEJUC2J1iUZNshSJEtGrTigsvuoAzZ87QqXUXurTtyvifJwBFB6FJsCW7TQqFIrzocVFPAFb/t8aklx0YtYF0Jcn2Ow1rN6Zjx46cPXuWLz/9pkTbTp7kMHjs07c3Vqt/g60k2JIMKdLwUSd7GdBYCFFfCBENDAQm6QsIIaoJp16OEKILjjnuEXcVCiHWeLNjIcQqb8oVhSfHjwqFIsA8/tTjLJi/kEMHD3Ho4CEAKlaqSLsO7ULbMIVCUSoqVKhAjRo1SE9PZ9fO3dRvUC+g+9uxYycA9erVDeh+yhuvv/46PXv25KWXXmLgwIHUqVPHq+0KVEX6XnVFIJsXcRT4yS4pUso8IcQDwHTACnwtpVwnhBjqzP8MuB64VwiRB5wFBkrPrmEaCSEGUfybb70SN9iJmmQrFCHkoku6s+vgDo4dPcaZ02c4k5lJ3bp1iI2NDXXTFApFKWnZsiXp6elsWLc+oJNsKSW7duwCoG59Ncn2J5dffjnXX38948eP55FHHmHChAnFbrN3z17WrF5LUlIS3S++MAitjCSE136xzThVQKaa1n2mWx4BjChBlQeB170od6AEdRpQ6iIKRYhJTk6mbr26tGjVgs5dOlGlapVQN0mhUPiBArdt69dtCOh+Dh44SFZWFhUrVSQ5WamP+Zvhw4eTkJDAr7/+yrRp04otP3/uPwCcf+F5xMTEBLp5kYV7w8egI6Ws58HgUZ+a+boPNclWKMKQcLkJKRQK3ymYZG9YvwlfQmBbhc2VChtPan/btzvcgNavX8+/HVAAUKtWLV588UUAhg0bVqwRZMEk+4Lu5xNpYc8DjQfDxzJJ2e2ZQhHmJEWluE0KhSLyadnS4aZ3w7r1Ad3Pju07AWjYoFHEGsOFOw899BAtW7Zk27ZtfPDBBx7L/jPPKcnufn4QWhZ5+OgnOyIpuz1TKBQKhSKEtGjhiPq8edMW8vLyArafXTt3A9CgQalc+io8EBUVxbvvvgvAyJEjyc/PL7Lc7l172LljF6mpKbRu0zqYTYwYlCRboVAoFApFqUhKSqJevXrk5OSwfev2gO1np9OziJpkB5bLL7+cevXqsXv3bmbOLDoK5IL5CwA49/xz/e66ryyg1EUUCoVCoVD4hQKVkUAaP6pJdnCwWCzceeedAHz55ZdFlnEZPSpVEbcUZVdQVgnKJFsIUVEIMVUIsUkIsVoI8asQorIzb6cQYqMQYpUz9dRt10QIsUgIsdn5v3Ew2qtQKBQKhT/QjB83YBECixAuE8jiphb50jsVk51O933169f3vaEKr7jtttuwWCxMnDiRw4cPF8r/Z65Dkt29+4VlXkrrK0JYCqWySrB6JoG3pZRNpZRtgG3Am7r866WU7Zxpum79Z8AnUsomwCfA50Fqr0IRUlRUR4WibKCfZIPDp3VJKDBkTIpKNaQCsrKy2J++H6vVSu3atd1XpPALtWrVolevXuTm5vL9998b8nbt3M3uXbtJTU2lVZtWIWphuFO0h5yySlAm2VLKo1LKObpViwGPHvOFEFWADsAY56oxQIcCCbhCoVAoFOFOoNVF9uzag5SSunXrYrOp+HLB4K677gIcKiP6l6YCryLnXaD0sd0hBAghCqWyStBl9MLxXeBejDHnf3SqkXwqhEh1rqsN7JNS5gM4/6c71ysUCoVCEfY0a9YMi8XCti3bivWv7As7lD520Onbty9VqlRh/fr1LF682LX+n3kOVZELu18QqqZFBMqFX2D5GDiNFvryAillW6AzDhW1koTEBEAIMUQIsVwIsTwjI8N/LVUoFAqFohTExcXRsFED8vPz2bJpi9/rLzB6VPrYwSMqKorBgwcD8NVXX7nWF0yyL1CTbI8oSXaAEEK8CzQGBkgp7QBSyj3O/9nAp8B5zuJ7gJpCCKtzWytQw7negJRylJSyk5SyU+XKSptEoVAoFOFDsxaOqMwb1m/0e93KR3ZoKPAy8vXXX3NT/1v4Zex49uzaQ2qa0sf2jNLJDghCiNeAjsDVzgk1QogEIUSKc1kAA4FVAFLKQ87lQc4qBgErpZRKVK1QKBSKiKFFS0dQmvXr1vtNalfguUK57wsNTZs25YUXXiAqKoopk6Zy9+B7ADj3/G5YLGVX/aG0OLzqqEm2XxFCtASexiGJXuh01fcbUBWYI4RYDawFmgD36TYdCgwTQmwGhjl/KxQKhUIRMXRo0xGATeu3lNi7SHHs3O5w36cm2cHnxRdfZNeuXbzwwgsUfEXvf+0NLo8wKsR90ZQnF35BMUWWUq7DvUvQ9h622wicE5BGKRQKhUIRBAo8jKxbt86v9UoplU52iKlWrRovvvgiTz31FFu2bHG5bFS4pyxLrs2U3dcHhUKhUCjCgMaNGxMVFcX27ds5c+aM3+o9evQYp06dIjk5mQoVKvitXkXJiY2NpXXr1mXaiM8/FDZ6LMvHTE2yFQqFQqEIINHR0TRt2hTwr7/sndt3AFCvft0yPVFRlB0cOtmWQqmsUnZ7plAoFApFmNCtWzcA/poy0y8SPIHQwqk3UKoiisjBIkSh5A1CiF5CiE1CiK1CiKeKyBdCiI+c+auFEB383vgSoibZCoVCoVAEmJtvvhmA0d+Pxm63+6XOgkA0det5DKCsUIQRvrnwc7px/gToDbQABgkhWpiK9cbhJroxMAQY6d+2lxw1yVYoFAqFIsCcf/751KtXj3179zFv7ny/1LmrQJJdv55f6lMoAo7w2btIF2CrlHK7lDIHGAtcZSpzFTBaOlgMpAohqvu3AyVDTbIVCoVCoQgwFouFW265BYAx34/1S50Fkux6Der5pT6FItCsXLFyerwtcYU5AbEFkbudaYhp05oYgxHuda4raZmgoibZCoVCoVAEgYJJ9sRff/eLlxHNfV+9UtelUAQDKWWvggjdptTK9HuUadOidErMTue9KRNUguInW6FQKBSK8k7jxo05p2sXlixeyh8TJzPwpgEl2j4/P585c+aQnp7O/kP72LN7D0II6tStE6AWKxRhw16gtu53LSDdhzJBRU2yFQqFQqEIErcNvp0li5fy0w9jGHjTAIP7Mk/mX3l5eVx33XVMmjTJsL5Bw/rExMQEqLUKRdiwDGgshKgP7AMGAjeaykwCHhBCjMURyPCElHJ/cJtpRE2yFQqFQqEIEldc24voh6KZPXMO6fvSqVajeLssKSVDhw5l0qRJpKam0qdPHypWrEiFChW48soriVehuxVlHCllnhDiAWA6YAW+llKuE0IMdeZ/BkwF+gBbgUzg9lC1twA1yVYoFAqFIkhUqFCB3n178fuvkxj70888/PjDxW7z/PPP89VXXxEXF8eUKVM499xzA99QhSLMkFJOxTGR1q/7TLcsgfuD3S5PKMNHhUKhUCiCyE23OL5yf/d1YZ/Zy5Yup2n9FnRo1ZnrrrqBQYMG8eqrr2K1Wvn555/VBFuhiCCUJFuhUCgUiiByea8e1Klbh21btzPjz7/o1aenK+/FZ18ifZ/DVmvL5i2u9V988QX9+vULelsVCoXvqEm2QqFQKBRBIsGWzBlOMuTeu3j2qef57JPPXZPsZUuXM2/OfJKTk5k49VfS96WTvusAjRo14pprrglxyxUKRUlRk2yFQqFQKIJIgi2Z+4Y8wOsvv8msv2axd2s6zZs356N3RwBw3333cfF5l4a4lQqForQonWyFQqFQKIJMWlqaKzjNiBEjWL9+PRMnTiQmJoaHHnooxK1TKBT+QE2yFQqFQqEIAcOGDQPgu+++45lnngHgjjvuoFq1aqFslkKh8BNqkq1QKBQKRQho2bIll112GWfOnGHixIlYrVaeeOKJUDdLoVD4iaBNsoUQE4UQ/wkhVgoh5gsh2jnXNxFCLBJCbHb+b6zbxm2eQqFQKBSRzoMPPuhaHjBgAPXr1w9haxQKhT8JpiR7sJSyrZSyPfAu8LVz/WfAJ1LKJsAnwOe6bTzlKRQKhUIR0fTp04dmzZphs9l46qmnQt0chULhR4LmXURKeUL3MwWwCyGqAB2AHs71Y4ARQojKgHCXJ6XMCFKzFQqFQqEIGFarldmzZ3PkyBFatmwZ6uYoFAo/ElQXfkKIL4HLcUygewG1gX1SynwAKWW+ECLduV54yMsw1TsEGOL8eVoIsSkY/SmCSsDhEO071JTXvpfXfoPqu+p7+aK89htU3yO573VD3YDyTFAn2VLKuwCEELcA7wDP+aneUcAof9RVGoQQy6WUnULdjlBQXvteXvsNqu+q7+WL8tpvUH0vr31XlJ6QeBeRUn4PXAzsBWoKIawAzv81gD3O5C5PoVAoFAqFQqEIW4IyyRZCJAohaut+9wOOAoeAVcAgZ9YgYKWUMkNK6TYvGG1WKBQKhUKhUCh8JVjqIgnAL0KIBCAfxwS7n5RSCiGGAt8JIZ4HjgG36rbzlBeOhFxlJYSU176X136D6nt5pbz2vbz2G1TfFQqfEFLKULdBoVAoFAqFQqEoU6iIjwqFQqFQKBQKhZ9Rk2yFQqFQKBQKhcLPlOtJthCithBithBigxBinRDiIef6CkKIv4QQW5z/05zrKzrLnxZCjHBT5yQhxFoP++wohFgjhNgqhPhICCGc64cLIVY502YhxPEAdFnfDr/1XQgxRwixSdf+KiXs+4VCiH+FEHlCiOvLUb8jecyjhRCjnO3eKIS4roR9D9qYh2HfI3LchRBJunavEkIcFkJ8UMK+R9y17qd+R+SYO/MGOfu0WgjxpxCiUgn7HnFj7qd+B3XMFWGKlLLcJqA60MG5nARsBloAbwNPOdc/BbzlXE4AzsdhkDmiiPquBX4C1nrY51KgG45gO9OA3kWUGQZ8HSl9B+YAnbzYZ5F9B+oBbYDRwPXlpd8RPuYvAa86ly1ApXAd83DreySPu6neFcD/t3fe8VEUbQB+5koaoRNqgNB7RwQFVBBFRUWKgCDYOxZsoPLZFbtiR1Gxgki1IqAoVami9BZ6r4EkpNx8f1zJ7l7J5XI1mSe/+eXudnfmnZvdvdl33tI9Wsc9mvodq2OOPTjCIec57jj+qZI+5sHod7jHXJXoLKVaky2l3C+lXOV4nQFsAGoBVwOTHLtNAvo69jkjpVwEZBvrEkIkA6OA57y1J4SoAZSTUi6VUkrsN52+HnYdgj2NfMgIZt/9wVffpZTpUsq1gC3gDvlJNPXbQKyN+U3Ai479bFJKt4xo0TLmjvaipu8GYm3cARBCNAKqAgs9bIuKcY+mfhuIpTEXjlLGoaEtB+wztlcCx7zY/TYQ8jFXRCelepKtRQiRBrQD/gKqSSn3g/2ixX5TLYxngdeATB/71MKegMfJHsdnWjnqAvWA3/yVvbgEoe8AnzqWxcY6l8sMFNr3cBMt/Y61MRdCVHC8fNaxDDxVCFHNw65RN+YQPX2PtXE3MASY4phYGIm6cY+WfsfamEspc4E7gX+xTzKbAxM97FqixjyY/Y7EmCuiBzXJxqWFngbcL6U8FcDxbYGGUsoZhe3q4TPjzXow8J2UMr+ocgRCcfvuYKiUshXQzVGu99SUh88iFj8yyvoda2NuAVKBxVLK9sBS4FVPTXn4LKIxQ6Os77E27loG410zF1XjHmX9jqkxF0JYsU8222HPuLwWGONpVw+fxeyYB7nfYR1zRXRR6ifZjotpGvCVlHK64+ODjmUg53LQoUKq6QJ0EEKkA4uAxsLuFGfWOD48g/0pN1VzXCruS1C+buJBJUh9R0q51/E/A7tNeqcA+x4WorDfsTbmR7Gv2DgfKqcC7aN5zCEq+x5r4+6sqw1gkVKudLyP2nGPwn7H2pi3BZBSbnNo778FzisFY94WgtbvsI25Ivoo1ZNsx/L+RGCDlPJ1zabZwAjH6xHALF/1SCnfl1LWlFKmYXei2CylvFBKmS+lbOso/3MsU2UIITo72h6urVsI0QSoiF07FlKC1XchhEU4vK4dN7c+2B0/i9T3cBFt/Y7FMXf86HwPXOj4qCewPlrHHKKv77E47hp09qXROu7R1u8YHfO9QHMhRIrjfS9HnSV9zIPS73COuSJKkVHgfRmpgn1CLLEvBa1xlMuBysB8YIvjfyXNMenY08Kfxv4U29xQZxq+o4t0BP4DtgHvgD3rpmPbU8C4WOo7du/slY561gFvAeai9B04x1HfGeyawnWlod+xOuaOz+sCfzrqmg/UidYxj7a+x/K4O7ZtB5oW0mbExz2a+h3LY4498sYGR13fA5VLw5gXt9/hHnNVorOotOoKhUKhUCgUCkWQKdXmIgqFQqFQKBQKRShQk2yFQqFQKBQKhSLIqEm2QqFQKBQKhUIRZNQkW6FQKBQKhUKhCDJqkq1QKBQKhUKhUAQZNclWKBQKhUKhUCiCjJpkKxQKhUKhUCgUQUZNshUKhUKhUCgUiiCjJtkKhUKhUCgUCkWQUZNshUKhUCgUCoUiyKhJtkKhUCgUCoVCEWQskRYg2FSpUkWmpaVFWgyFQqFQKBSKiLJy5cojUsqUSMtRWilxk+y0tDRWrFgRaTEUCoVCoVAoIooQYmekZSjNKHMRhUKhUCgUCoUiyJQ4TbaW9NNbdO9t0qZ7X79sk0LrOJJ9wO2zKgnVPe57/Oxh12sh9M8vFeIqezzm2NlDbp9Viq/qcd9D2ftcr20yX7ftbP5Z1+usvMyCz21ndfuZhdnjfgA7M3a5Xp/OPa3blq/57lYd2Ox63aVWS91+ufm5Ho8BaFKxkev15I0/6bZdXLeT7v019QbjibXHClYprCarbluSpYzrdbw5QbfNpBkPgfD4GkCIgvfa78p9X+/HGevUIpHet2m+L+N3lyc136stz2udZzTjdij7oG4/7fieyD6l25Z+suDcWrwjXbdt1T8F11GZxHjX66NLd+GNZle2cfts/b0/etx3zdG/Xa+TrWV12+JMca7XFs14m4V3/YCnb7h6YqrX/Z3or1/jGOrfe7ueT+Ued/usnLWi22dHz+rHRkof54WmR8Zr1obN4zbjvS5fc7/IydffE45kH3W9/vvAGt22ignlXK//O5yu23ZJvXNdr99a9oPr9bA25+v2a1W5ue59l2oX4oldp7fp3nu7piyG697bte2+zf2cqRQfvFX0jNyTbp+VtZb3uK/2PNGOvfG8M46jt/Nue8Ym3fsNx9e5XsebC65Z433lqGbsjffT/WcKfpv2nNKfr9rzAmBMh8c8yrXyyFLd+w5Vunjcz8i+zIJ7i/G3LrVMPb/q0HIga4/uvfa8sAj9NEh7Dpk0vwFGObRXrNvdQjOONg/XtqfzTvv7DvrfA4BqXu5hX235VPd+wsp5HvdTRAalyVYoFAqFIkx4ehBTKBQlkxKtyc4zaPy0T5eJ5iTX07JRK6bVQps8PIc4tdtGrYNWUyI0z7lSSp2WzLvOyq65cNav1VIZ8aX50pJvePrWfidGrapvLWvBNu2TuVZzDZCjrd/wJJ6Zl+WxDoAzGi1cg3L1WXpwAQBxGi0MgMVUcMoa+6aX37/vx9hnrRbD7TvWadb8r9NfjKPh337e2zZqwbTv8wzf3b7TGa7XB/Yf1W3L3leg9U5I86xJM5KToz8vurVpwo1zRwLQu75+1aJB+Qaad776bdO8Nl57vkfkQNZuQK+ZAv1qhU7TaRh7YRj7kzlHNdt8aNWl5GTOMXf5/bx+7cdJj699Ybw2tGPvft17v89k5mW7Xq/ZtVe3rWtqwTW7b2/B/e1QI8P5U6FAc56SmMJ/x1e53mu1p3Em/bWuvffqV5UM8mvPc8NY6LXE+uNMwsSJnCP2bdrVLR/j6X6ead+7j01G7gmPdeivTV860QJsMl+38mkcY2/k5OdojjHck3ML7skJFv22jJwzrtdn8/W/pdrfplZVmjJ753eA+/dTNbFAY1snOY39Gg219lp0P68938fyZT47MgpWUs/mF5yf2pVM0K94mNxWpjR9MXwnxnuEd7yPm/761vdN+xvvL4eyDnIoq2A1wdfcwGYL7PdHERqUJluhUCgUijBhnNQpFIqSS4nWZAcD4xOjJ822J7RPsuF4rtRpMH085Wo1Qnm2XK/7+atps/nonVFbrbUb33xUr+3qVMOzLG52cFKjZTAoJ7SaHV/aCd9aT38x9rvodRZJm+mnza62b+52uf79uOfk6rVWHCrQdp2skklxMa5wZGtWOHIsSbptVo1Ntr4O75rm8FxxnmVxt+X2vJ/bNi9jWBjaMc6xFWgsjXX4WuHI1aw+Gbdl5xVcs9lZelturabzTFaBRvHEWb0/h1YuXxNM431L+31pbWiDtcKkvT+ZhfcVLF9j6gtvY2oSJrf7mtc6ApyQa9vTriBaTHot7VmNlttq1ttk59kKZMw3fCencwruA5m5BeeBUQucrdE0+9JWG9GeJza8r8L41uZrV5MNm3wOqX8rov5es8FY2XQ/d20eX4P7KqIisihNtkKhUCgUYcLfCbZCoYh9SrQmO1ejQQGjVsy/p8uiaJX0to3hfX4pilbUiS+b3RyDPbvWbt3kQ+sTKFrbT1+a+EDRyennkBZfVx0q/NOu5PpYqQiUhPgCbVeWj/2On9RrM206ba/BblYjs78rRUXB/7H3zzY2GASu3fLf10B779KuWuUY7ovaaDVazSZAgkVvJ61Fa9cfZy34KSkXZ7CN9WF7G4z7R2Svy6LLbxLmgCbaRfGh0aLzxTDcWrXaaqMP09m8gnMhJ18vr1Ej7trPeG5p+ukuf9ExCZPXOgO9poJBMH4r3K8F7/3xpcFXNtnRhdJkKxQKRQkjOCZRilCgNNmB46+zp0IRLZRoTbbxgrT62E9rq+xL8xX8Hy+B35EwAtD6JJgTdHZx2u/EaGuo1Xzm2/TfXZyl4FQpYy1YEdh8bCcNKtZ2vdfacJp8eOmXi9dryLSacq3mJTs/mwRNzOtA7SMDQWILiWbViRAiaCsBnqiTXJc9Z3a73mvtO8takzwdAniO6+pEa69tblmZ/P+Oetzv2IkMj5+D72vIPWKP51WTfPLd4ph72i9Q7Fox/2x9A2nbIizkybzCdyysPc29w6iJ1F5/2m0WYdFpHPN19p0Gm1ebJg53ll5Lecpge+1k4vwF3Narh8dtvuJ3W3zYQmu/11yZq4tKojvKUL/0O369/l0oH1LcNdn6fgb7HufrPqwdD63mGiBL8157HoA+Eo/WL8ckTF6vATc/mQBWLM3CrNdka9o6lXOSsnHlPB1WDPQxs709IBlHLJA7kLFvPpHer3ubLfgrwYrAUZps3JOOhJfQLu1oJ9ihQDvBDgUJhqQy4SSUE2wInqmNN7QT7FDgbYIdDkJ/zYb2YS4YE2xf+JpYGZf0g423CXawMCZNCTahXgXwpckOpxIhFIT6nuZrEhr8CbaeUK9AKC19yURNshUKhUKhUCgUiiBTos1FQo2vMFkYtgQbdxcJffIbT6+N+xm1XYmWRNdrowOUt1B9xhBTvsxRtDSoVEnftrWgbZ2JgC9HqSAofYwy6r47N1Mh7+8iiT5RkCZxg8HkR2vKo/2+Qe/YdDLjDN7Iz/dzKdLw9VhMmkRNRQhz582xyX8XIf+vPt8huQJ1ivTcuv/3Dt/HaTH7cDA0ax3VfAxhhXh9WvtDmcddrw8fPaHblqNJUJKnOS8CTbTjt9mc4b2v4I2BOcMF3+VZd24JU8Ch+bToEugEQUZjiE+9s7Iw7Os5XKrxN0VrVuJ2bQtf15tmvxBrx/0l3I6VPvutTdseQYdPReEoTbYiKsjPy+ebF6ew/JeVkRZFoVAoQkYwJtgKhSI2UJrsQjA+YQdmM+ddK1aUp2NdamfDYb6STXjDTbPgQwOuc47StOUrwYnFh92s1RACav3SDcz5bB7zv17AeR06U6dBKqBPYGM/znNykvAT7gB//oXt09r6apNQQBGS0fhKZpDppy2xIYxUnNl7MiCdJt6YkMTLCk0kFxICHXndvSNA5ZMvjZ8vO+x8H9eiVq7KiRV023acLEjjHR9f/Gsv0BB+odAiCi+vfY2oUY5ANMhF0WT7OmeCEb7O1++GdnXLOE7x5oJzQXuf9/ceUxS5vN4DjMcEmtwrwLCeuvPHx4poqIkz+CiYTNGtOxVVEiQ5Hs6TjNw5Usre4ZcotET3aChKDZtXbgUgLyeP1x59M2qWCBUKhSKYKE22olSTY4PO1dwLVIm0aKGgRGuyjRM1/yMSeNcQhFqbFrBGQnp58ndTf3jWehoxPpmbNc9jZ3IK7LXzbN49ok0+wrHVK5+q2zZj1TRXu6sWr+GnKXO4bNAlPkO6GTV33r6DohAL3v2++qb9fuLN+jCJyZokIWYfWk+f7PVur61j80nd2wzNOWOUXxs60qhN06UsNxU9pJ4R95Tc2pehGPvIpXv3hjFMn8nPfjdprI8kVCauwK7/VEZBmm2trbZb24b7hc3s/Z7sy9Y3GETqWg/UJrtoidE8n2vGaFPa0Hxmw1hoz5OzhmQ02rTqWZpEYuXi9RE+Ei2BRYfyZm/u9nvgy7/Dp4+F79bDhb8+CSUq7r0AzCWoP4WgNNmKiJOfl0/62nQA+j14NQDvPfMhJwyOVgqFQhHrKE22onQjwOShlFBKtCY7cE1FYMfpn74L8Bn5IEhmEf721V/7NiPeEpQYNY/+PnEnxxUkQ9mxOZ2zWTlUq1uVPrdcTvpfO1m5cDXvPT2Bx99+1IdMwfXQh8im5vWNf973ehtLvfYpXmO7l2sLME5zvp/fT7L+1lLG6j22ceAaJ8+4XQsB2P36TJgTkFSB4+934isqj5ZTOad077UrHsbjtKtW8XH6MdSuhsTHadKqxxvSqpsKtkkkNpuNwweOUK1mVd1+biuPGr8NXzHrg7GqEU6tduDRRXwkavKlBQ1C33INmmyt7XWuZnXCGMNc60Pjy9/Cl++Tv74Mga46B+eeb2zAT78of6MK+VjRNWK1Rvm0TmmyFYrwsmnlFgAatm+AEIIHX7qPuIQ45nw3j23rt0dYOkWxyLOBv2H/FDGDLTefdQvW891z09i0ZJPfx+1N38dd/e7jyrb9+fjVT0MoYfSiNNmKUo1zkm0sJZQof+SJNTw/ffuK/euudfO8X9Gk8N873ut+Bplturio3m2ftXbvuQb7S62NtlbjsXXVNgCatm+MRZipU782F/ftwU+Tf2HFn6tp2LyBa19dGuYgnL42aQuJvac3/F89COymo0uTbIjMkqcdQ7coCZrXxnMySfM9n9WMqa8EZYkW2HgC1h6FdlWI92F76+v712m0dJo7w34+RBHCvxjd/uLedmDXlL6O4sul/R59ZY8z+mJUtFbwKkeexma3jNVK5uHTbP52DXsX7yD3tP38WvPzP5S/ow2WSnYbbavJ/bqUUjL7ix/54JmPycq0R72Z8PIntGjTgu6XdvWzh4UjDOeSVgPu94qAj3MkOCstwY+T7Wub1ua+jCVJt59Fu1pg/O78vFa0ab2NMgWamdVXpCu/6whC7PlQ4+ue5guTj3uaxRLJDNZ+UoLNQ4woTbYiokgp2bRqMwCN2jd0fd6uS2sA/lm2NqTth3OCXeqIN0OehG2nCt9XEfXIfBvLnplD+pyN5J4+S43GNajbug5nM89yYvompM19mpCXm8dvsxYw8upRvDH6bbIys7j46h7ccN8wAJ646yn2pO8Nd1ciitJkK0o1SpMdfoQQ6UC2owA8KqWcI4RoDEwCKgNHgeFSyi2RkdIfPMfU9B4lO3CMT69ajY0uu5u/NrQe6vSGxUccTq1mJCc/17CtQHtdKd7udX5wzyGOHThOUrkkajWsiRACEybadW4LwL9//4fNZnPF/vQ/K59/FEWTHeu3Aa1G6GyePqOnVmtVr3Z13bZNhzQRRQ5k4hdZeZASD1YTHDvLwc0HSWlczU0OAIsouA2FxjY2GBqt6Bx9b9F2TMKk02bnGjK4aonTxDw2xq8vn1AQHWLnH+mc2nmcctXL0e/lAXRs15qMY6d5od9LZKSfJHPpXsp2rY1N2sg4dpo/v1zIXzP/5vSx0wCUq1iO0S8/RK++PbHZbOzYvJM/fl7IqBGP8MlPH5JYXp+FVGgmo/rsgOFFf174at1f+9qiaLIDi06jvY7MmpUFo5+G9rcizqy3p66RXNH1Ot9XfGqNXL6035EMyxr+SDLhiypkvG+Zol5LXLIdHY1EkxpvgJSyraPMcXz2AfCulLIx8C7wYeTEU4SCdSvWA9C4XUNdEP0adaqTUqMKJ4+fYueWXSFrX2myQ4jZBHXsTnDrfvg3wsKULnyZiwRCTmYOiz5aCMAFd15ISv0UAMpWSua6pwYBcHLuds7uOsnP7/7C81e8yPxPfuP0sdPUa5rG/S/cwzfLPqNX356APWHGU+88Qe16qWxZt5Vxj7waVHmjGaXJVpRqlCY7OhBCVAXaA70cH30DvCOESJFSHvanDn/twfJlPiahzUjnH8boFt4mbEIIvSe7v17hRYh8oX1Sz9fYQmtjEINec1EUj3StraM2e9/uU4eoXa4gSoBZZxeq/37yNbZ7cRa79mzdio0ANO7QyLXNGY2gXZe2/Dp9HmuWraVekzRH/ZpxKkKWLW+aDKMm21uEGPCV+8v/SAWhyAymrVMbyaFJxabsO1OwFH8mr0ALbdRonTpbYL+dVMYQ2zYQrUOG47xLSYRtGWyau4F6Q9thSbS6nZO+0NlmGtOc+onWh8D/rkivmm33T/3TWunGSVh0E2Gfmez8zOynlddYvzGygxbtSoLFYE/trPGfb1aQeTyTJu0acdP1QxFCcCLnJABdLjmXGRfM59AfOzj84WrmOo5p0b05F9/ckz49LnX1XTvBLFM2iZc/fZ4bLruNH6f8zIU9u9Nn4OXujRv6lmvL1fl0+LouA0FKm5ttt2ZrQHXqYz2b3a6/4mI8f4QXW3SzsJCvscm3CO+ZWLWabath9dKbr8TOU3tIK1cQT1173hkf/LzFwLdv9NyWGXNQokqFnqKfJ6YAzwvtShSAiPKMj4DSZEeIr4QQa4UQ7wkhKgC1gb1S2s86x/99js91CCFuE0KsEEKsOHzYr/m3DlOAzhn+UpKzF2on2IGwbrlDk62xx3bSrnMbAP5ZFjotaCQ12aE+L7QT7IiRbIXyceRl5bJ3UexEigm1M1SwNc2hrD/j4Cn+nboKgJvGjvD4EJk2tB3xKfZViwYd6nPfpJHc9s4t1G9Xz+dDZ8PmDRj17L0APP3g8+zZuadQeYxh4oKN9wl2cAj2BLso5PtIQBYMtBPsUBAbE+zAiOR5EVZKmSY7WibZ3aSUbYBzsA/BO0U5WEo5QUrZUUrZMSUlJSQCKoJP5ulMtm/Ygdlipn7rem7b23VxTrLXlugHlRJPLXtEg/Q5GyMsiCIQlk9cQn5uPt2uOp8m7Rp73MeSaKXVkxfT+tlejPzkbuq3c7+evXHN9Vdx4eXdOZ1xmkdue5y8vNBOBBUKRYQpRZPsqDAXkVLudvw/K4R4D5gNjAJqCSHMUsp8IYQZqAnsDridCCUacTcR0L0LenvaJV+rYSlJa7LhK4W1MdWy1gwkwVKgSTIuL/svo5lNqzdjs9lo1qYp8YkFCTGcmqT6TepToVJ5jhw4yv7dB6hVt6ZuDHMMzlxx1oK++quJNJ4TsZi+1pvMRi19grnADOSUPK3bduZswXdpMiw3JlUv63qdeUSTljnHT81LtUQsOzM5vvkwx3ccRTY1fOea68NfTZWxx74MNiI7ouFzgPL3/pagST4Des3tWcM1tePnDWydvwlznJmbRg/XmRBo7xEmk4mEikkkVEzyHZLROBpCIITg8TdGs371Blb/vYYPXv2Ie0bfSbC/r0CvdX+TFPn7/RvNAoLhlGfUgkov5kHGVVtdwh/h/Z7vScazZ86Sm5VDljmb+MQ4TGaTW/2+kggFg1i8X/uLv+dFvOF6Nke7KYYoXY6PEZ9kCyHKABYp5UlhP6sGA2uklIeEEGuAIcCXjv+r/bXHVkQ//y5fB0DLjs09bhdC0Orcliz8eTH/LF1Lrbo1wymeIliYTaRe0ID0nzaw69dNcFmfSEuk8IOF3y1m7qu/AtDj3oupllo80zBfVKhUnpc+eJ6b+t7O+69MoNvF59OhU/uQtRdJYt0sIDcrl+VfLWbF5OXY8gom80nlkmjUsiGNWjekceuGnNOjAyT5qEhReinBmmsjEZ9kA9WAaQ5NtRlYD9zl2HYHMEkI8T/gODA8WI0KP3VfgT4p+3KE8/UuUG27VmOg0yQFaGZhlNnspf44gybb6OyoRWtLabPZ+G3WAgDantdG37bmO2nbuTULf17MmmX/cvng3n6nyjUS6HHRiC+HWL2DrXdnJbMhVFu1sske6wBo1by+6/VfZzSa7E0nvAtpuIk2u6Il6T9tYM+CrZw9c5bE5EQvB3pH7zzm/yAKL46t4aH4STV81170OsvHlde99/RdLpm1jC+e/BqAAY9cQ8/hF5FsTdbto111iNOkVTeGgvPl86Idj87dz+XGu4fzyTuTeOahF5j++xTMHpIY+b6f+k+o1zW9rzCF13lPG1bV7Z7g49vTHmd2OO9v+3MLf76zgNOHMgBIqlSG/Ow8crJyyDyVyT9L1vLPEntug9QGtXjz81dp2NSeTMwYVcXXd+BvKvVQE0kjRX/vVRXjK+jeJ1iiYVrnA0HAmmyHv97HQEvsw3MTsAmYAqQB6cC1UsrjxRc0OER8NKSU24F2XrZtBM4Nr0SKcLDiz1Xs2rqblBpV6NKzE/vPHvC4X5vO4UlKowgtFetXIaV5dQ6vP8Af3y2k9w2XRFokhRf+W7Sezx7/Aikl14y6ip7DLwpb23ePvoOfZ8xh/T8bmPzJtwy9dUjY2g4Xseq89/ekpfz16VIAqjWuxsWjelGzZS3SytdESsnJQyfJ25nLln+38scPi9i9dQ/Det3I2NfGcMW1l0VYekVUYQ7YjOgt4Bcp5QAhRBz2tZLHgPlSynFCiNHAaODR4AhafCI+yQ4lRi2P9r02tJBJGtLJ+vmU5b9WzBgOTyNTkLRb2id/X3Zwuv2ED02nQfuUI/0Pu+YP0z+ZBUDfEVdisVqQ2Z41/w1bNCApOYm96fs4cuAItVPreNzPSCjs732uR4Q12YF//TZqFH2htcesUEa/xptUvuA2sSOlouv1IaMmu5rmuFxj0gsTzQe244+nf+aXSXPpNawn5gik/3W7J3hZcSraePoKvxdcjPccb+FAjdFF4k0FdpvGtOpaLCYzy2b+hbRJet/UixEjh7m2JZr1qw82a8E99OJ6TV2vqyRW0u3nK0FJGUsZ12urOY7y5eJ44qUx3D3sPl5/djyXXt2LyimVva7WQCQSjfiHN1tukzAF7HsQCNoVRF+p022G7zXJWjDetpM5rPxqOQC9RvWi3TXtMTkmSiYhQAgqVa9Igyb16HLJuQy8sz9vP/Ye86b9zuN3PsmCX/7k3PPOoWGzBjRo0oDKKZWwmDQhJn18H4GEZoVI22v7CgXrn42/v6NvjLZjDLcYdQjhHrKRwu+VQohyQHfgBgApZQ6QI4S4GrjQsdskYAFRNMmO8tFQlET2pe9n6by/iIu3cuXQy33ua7GYaXVOCyC0ofwUoSf13DTK1irP4T1HWP7rykiLo/DC7k32MHqdLusYkfYvubIX3Xp25dTJU7z61BsRkSGUxKIme+nnS8jLyaPxhU3oMKCja4LtjcSkBB5+4wEef2001jgrc2fN57lHx3HDVbfSrUkP2tU8lwtbX8yg3kP5+O1PVPSoUobJJNyKH9QHDgOfCiFWCyE+dvj0VZNS7gdw/A+d80gAlGxNtp8Xbkm4vL0+ERvtF6V3e3NtUgoj2kgCiZYCrZgve0ujJjUr327PO/2zWUgp6dn3IipUqeAuslY7JyVtOrfir9+Xs2bZWvoOvNqr/L7wX9sVqDYztPiyUTQmOfEHo32kVqNVNk4fkcas2ZYQ7107XrVRNdfrQ1sO6rbZpASToGm/Nix/+09+mvgLXS7rFPB3HBptZvSMt794uwaM2mqtXbpF6MdQW4ctx8b+HQcQJkHdJnWwanwuzAb/C220mkqJBXbexnNQpz01jJPFQ8xrIQRPvvI4l3W+imlfzWTA8P50Oa+z237Rjq+oP4FNtL2f825+Gl6Sn/m6P+TZ9OeM02/j2P7jrJm1BiEEfe66jMqJFXS+Nwma3wOjr0f/EX3pcF47Fs1bws7Nu9i6cRs7Nu/g1MkMdqXvZlf6bpYvWcHpjDOMevy+Ajk155puBdqwQmPyknQHgpMDIdA7gr8xhfy9r/vC2E9zlGuyhfAsYz5UEUKs0Hw0QUo5QfPegj1B4Ugp5V9CiLewm4ZENSV6kq2IPrLOZDHv298A6HdTX7+OadbOvhS9dd22UImlCBP1ezZh45er2bZ2BxuXb6ZZpyaRFkmhYc/mvUibpFbDmsQlxBV+QIhIa5jGLffeyPuvTuCVJ19n+txvIyZLsIk1TfbPE34hPzefNpe0pkajGkU+Pq1RXdIa1dWZG505ncmxQ8dYvngFY+9/mvHj3qFipQrceOeIYIquiEqEW5hYB0eklL6Wz/YAe6SUfznef4d9kn1QCFFDSrlfCFEDOBRceYtHiZ5ku9kc6+ykvD/t+Zsi239CryvX2lDHaeNm5ni3SzfiK3arSaOhqJRQoLWqEF9Ot9+BzIIIixaDljvXlsv8ab+TmZFFq3Na0KR1QSp1s48IEGmN6wKQvmUXUkqXbL5SRfsdA1dTX6H76uqPTvzti6+sdkYb2pQyBXazvr7XunU0muwdnu9zlgQrFw+9iBnvzOaHT36mSSfPyU084evc1W6JFZvdYKC9x2nvAcaJnPba9qQ9drJroz0NQZ2m9sx9iZYCO3uj7ad2PLSRKMrF6e8JZa36996w2fRaylvuv4lJH3zJqmWr2bpxKw2bumeFjUUC12T7qNPkI4KLDz8cLe7+CjaO7DnK4ulLESbBkPsHUi2pMgBZeWdd+yVaCibPvrJxav0EEsrEUz2tGlemXUE++fzv3md4+pHnKFMuib6Drwo4/4Ke8PrsFJdAM40aV5Oj3SZb4L/fmxYp5QEhxG4hRBMp5SagJ/ZodOuBEcA4x/9ZQRS32ET3aChKFFJKfv7cHne33819/T6uctVKJJdPJuNEBscOHwuqTCV5Ahat9BrWE2uchVXz1/DHtEVkZ2YXfpAiLBRMslMjLAmUSU7iin69Afj2i+8iLE3wiCVN9k8f/IItz8Z5V3amZoOia7H9oe/Qq3j02YcAGHP3WH6a8UtI2lFECcL+sGcsfjIS+EoIsRZoC7yAfXLdSwixBejleB81lGhNdq5NHxFDq+HVanaMT4LBn3i5+xcHG2/aCl/RFHzVkWwto9uWmZflet2gQj3X63LWsrr9dJpsgzZix/p09mzdS/kq5el+2fmGFQMvcb4dcqU1qsN/K9azbdMOKle1a1OC4T3uS5MdSY1o0XzO/ZNfa49pNnzH1ZMLYiCfyNZPequXqex6nZSUgDfOb1hwXixfut6rLHHl4+g2sCu/fbWACaMn8uVz33DRld3pf8s1dG6fojvOl92pHh/nte51JKPChBZt38pZy5GRm+F6H6eJLmJcAdIet3vTXgDqNauH1WSlSkIV1zajPa8UnjPEJlr054hW03k2/yzeMMplkzb6DevL1M+nM/2bmTz81INYre6a0mhZYfIVv163nyPmdCjb1m/zvNphf2/y+Bog82QWf32/HJPZxND7B1E2ruAekaAZY61tvlGTrX2g8BXV5uaRN3Dq5Cnef3UCo25+hNzMXAaPGOR1/9ASfVpuI77s7KM+TjaBabIBpJRrAE8mJT2LI08oUZpsRdhY9dtqADr2bI/FWrQbQV2Hycj2TduDKlNJmmTFEtc+OoCh/xtM/dZpZJ7O5MdvfuGOy+9h2pczIy1aiUA7wfYXKSU7N+wCIK15nUL2Dg+tO7aiQdP6HDl8lPk//x5pcYJCrETS2LluF7Z8G2mt0qiRVj3k7d3/+Ejue+webDYbD989ho/emRjyNhXhRyAwm0xupaQS/Y88IUKvLZUBaUXdM4950yjaAra38oYvLave9ty75s6oaRbeskZif1re/l86W1Zv4UT6KbZt2E58YjyjnrmXFq08p0VPjtPHW175u32S3f6itt665Ua5uPJk5J4irZH9R3/75nSNvKHVZPuegHvPEhoK9PGQ/SMlsSqHswpso331J8laoOmsW16/LFwurmBVw6KJbd3qmvb8O2OV631Z7XgbTvez+QUrR3m2fDBDt0Fd6TaoK0lHEvjmvan8PGUOY0c+xX+r1jFm3CPExXm3ATYS7IlLsFYxvEUZMGHy6VNQXMpay3Iq91RBe5rr2Zu5wr5d+8k6nUWFKhVoVMdu/6zVUhrtfrXjkazRcup8QtDbgBtXF7Vync03RkQRIKDfsL688sTrfPv5VHpfdQk5thziTAVOmcG+8gK9X/tr51sUTbbO18AYXcTvOMoF93m3ONnabJA2/ba9GxyrGi3r6mzzAappVjCNEUW0aKMY+eqzRIKAux65neRyyTw/ehzPjH6ejes2MeiGgbTp2BohRBGzZQZ7jSO0D0dmYXaLb+8PxtWDcvHxXvaMEkTgmuxYpOQ+PhSBUAetD/YEO9xkZmTy/uiPGNN3LJ88/TnTJ83kn7/X8vcfy7mh9y3M/Hp2oXWcPHqKrf9sxxpnpdV5LfxuO8MxUUhzabJ3BNYJL5RkTbZ2gh0KtBPs4lC3UR1Gv/Egj7w2CmuclSmfTmVEn5tZt2Z94QfHKKGcYAO6Cba/bF63BYAGzesVsmd4uWrQFVitVhbM/ZMD+w7oJtihINT361jRZKev2wlAWou6YW13+B1Dee2DlzGZTHz7xXf07zmIXh0uY/yL77B6xRry84s+EY0FAplgxyJ2x0eTWymplNyeeeH40eNknCz6Umpp5b9l67i394Ms+O5PrPFWLujfjQeevZd3pr7JlYMvJzvrLGPveZqx9zxNxinv3+s/f6xFSkmLzs1IKOPdrtcb9RqnAbB9c3DNRRTRwxVDevPlz59SvWY1/lm+loEXXcct197Bun9K7mQ7mtj8n3OSXT/CkuipVKUSF1/eA5vNxrSvZkRanFJD+n/OSXb4TYeuHTaAOUt/5NaRN5NSLYUdW9N568V3GNBjMOfWP5+Rw+9ny8atYZdLEQSEKFWT7BJtLmJMA/z3ouXce8Moul/clbc/eitCUhnxbs5RlHSyxrS9mh11+2kTUeQZlm61YbjMwsKPX/zMu098iJSS+i3rcc9rd5DasBZNK9jjVnfv0ZULLriAJ0Y9ycyvZ/PztF9ocl5j2vduR6sLW9KgWsGP9cRFnwHQ5sJWbkvG9vY0y5aaviQ50i6n1U0jISmBo4eOkXEig/IVy7vVEQwNkfFbjRRu4yv9kyXQVRmtqVD1JL3zoTOJkJHzb+ime18lqYKmQr0c+bYCzW15jWkBQJy5QDPZol1zvvvzGz5+81MmT5zK/J9/Y/7Pv3H3Q3fwyJMPufYzfh2+kz/46zwZKP6ZFflKPBENODXZ7du1o1qi3QbXqhkbbWp20F9vNZIKbHaTLfrx1V7bxqVtX07aZgqOu3b4QH6eNYdvv/yOex++J6Z/lItiLuLv2erJWdyJxYe5iNaUxKZJc55x/DRH9x0jLjGOOo1qu4Vjjdc4Plo1vymnDb4A+RTUaUxm5Dskp6RJi8aMffExHn56FIt/X8Lcn+az6LfF7Nqxm19m/crG/zbz01+zPDrDhoNghwEM1ETNuF8Za3SbiwQawi9Wid07VQBUqVqFjFMZTP96JnN++DXS4kQ1xw4d5+PnP0NKyZB7r+W5754ktWEtt/0GXT+Q2b9Pp0u3zuTk5LL29//47NEveO7qFzl6yB5uLzcnl78W2BM5tb2wTUDymEwm6jVKA4JvMqKILipUqsBDzzzAL6u/5+Z7bsRisfDuqx/w44yfIi1aiWbTf5sBaNLC/9jl4aJ7z65Ur1mNndt38dfivyMtTrGIBXORnU5TkWZ1Ck2hHmosFgsX9OrOc288zR9r5/PH2nmkNUgjfVs6Uz+fFlHZFIGhHB9LCEbbugaN6/PwUw/y3OgXeOSeMXQ8twOVUyq7HRf8ZDS+sdls/DH/D9av28C2rdtJ355Oq7YtefL5sXq5fCdo9fjaV/xJk+EZS5tEYuKbk8jOzOaC3t14+H+j2HqyYGkuXuPYFGeOp02bNsz8dRoH9h3g2Y+eZ+GUxRzccZCXHnqdN798hX+W/8eZjDOkNqpFjTqevdS1Gi7td67VkjRs2oAN/2xk59ZddDrvHI8acSe+QhdqQ48FrtkM7XnhcxXDuK/udcE7Y7gurS2rewrlgnOhrEHTfDarIOxa1WoVXa8vrtdUt1+D8gW2m+YE77cWo0bLKKeTKlUrM/r5h6lZpwbPPvICD981hiYtmtCgsX/mDBvXbSJ9ezr79+xn3979NGzckEHXDSQuLpQ2vZGbQPl7LnsKNXc64wx7d+7DGmelXuM01zWoS1ttuJeUsRQ4xGod44zJbrTtxRm04b7SfGvvXRazhQFD+/POK+/xzaRv6dItdGnWfWkUA3U+NNYXyETbV1vGe7m344zharX3cm0Yxr0b9gFQv2U9LMLs9juovZdoXx8/q89joP2+koQ+LKwvB0Zvv8HxpngaNWjEmKce4fbr7+Ldl95n6LAhJJVJItuw4ubr9zLW9Ki+QzTGVlhSIURENdlCiBw/d82SUrovmReRkvv44IURdwyjc/dzOXL4CKPveyziWgUpJfffOYoBVw7if6OfYtLHn/PHb3/yzuvvsXTRsojItG39dmZ9/QMWi5n7nrzH7+Oq16zORUMvYOSEO0ksm8ifcxYy48vZ/PnrIqBoUUU8Ud9hl711o7LLLk1cf9tQruh3GWdOn+HOYfeQeSbT5/5SSh4fNZaenS7h5sG38cRDT/LeGx8w6s6HOK9NN775Ygp5ed5j9pZGtjhMRRo2bRCx5ffCGHT9AAB+nPkTp04W3bEzWoj0b44/bP83HYD6rdIiKoc3+lxzOW07tOHQwcN8/N4nkRZHUUSKkYwmGORhT1rjq1wSrMZKuCbb3W7ZbDLzynsvclmXq/hp1i/MmDyD/kP6GY7UaD19Pg0bn8Y0tp+6kHreaocXnhrHV5O+JjExkaE3XEeDhvX595//+Przbxj/6tuc162LxwONbetDdBXYwWk1wcb+2AxLNCnWskgpGf3cWGw2G0NvuY6WzeyRQBqWL0hpXC6uAr6oWL0i1z42gEljvuDVJ96gXHl7uKeOPdp71Vpqk99o99HK27BpA8AeK9uE7wvT7YdMaF9G95M+eNBGBOF3WVunzait03wn2gQkoE9EVLtcwWpHokWvldRqtMom6f0hAl0OdIYAe/atp9j43yY2b9jCbdfdRZu2rcnOtmvYrx3an1ZtW7qO+eidiXz24efEx8fTvWc3aqXWokpKZWZ9N5stm7Zy72338/Zr7/DV9C+o3yC6ImmEA2N0jlxbLlvW2VeqmrduptuuDc/mds/RrEhotdpuSWs0J6/W/t5ep38aWImkdr3adOnemaV/LmPm1Nlcf8tQr8eGD1/3+eInown0stcnntKMoZuPjtYmu0CzvGNdOgCNWjfCao7TabxBb5+vXbkw3pO134Gbtl0jiltoQW1yMk+hZQU88ewYBlw+mHdf/4Drb76ehPL6c0v3HYf5lu8r9KIWr75UhaAdR+NvqinKNdkQcZvshVLKPwrbSQixOBiNlTpNNkCtOrV4+qX/AfD4g0+yZ9eeiMjx0fsTef2lNzCbzUz86iNeeuNFbr/7Vp5+4X8kJSUxb85v/PvPf2GVaeG8xSz5fRnlypfjntF3BVzPOVd04NK+vcg6k8XBfYcoV6Ecjds1KpZs9R1mAtuCnJBGEf0kly3De1++TWJSIot+W8y7r7/PxPc+YeJ7n9Dnwr68+/oH2Gw2fv1pHs+MeQ6ANya8xmdTJzLuzed56PFRLFgxn3cnjietfhpbNm1laL/rOXniZIR7Fh1s+teuyW7askmEJfHNoOF2bfbkSd9GWJLAiXZN9qmjpziy7ygJSfHUrF8z0uJ4peuF53PBxd3JOJXB+FfejrQ4Cj8REY4uIqW81M/9Lg9GeyVak+1uk1rw9D30huv49ad5zPnhV+4Yfg8z5n7nstXU2h4WRetZlMgUs2d8z6MPjAHgjXdfo/fllzjaFlRJqcKIm6/n/bc/ZPyrb/PxFxP8aFurRS+Q36iBsGq0VEZP8HiZwGtPvgnAPY/cSdWUqq5tKZaC1zrth5d4v0IInn3jaVYvW8OhA4e5oFc3XZZHo0ZFaw+utc/Wxg6tW68O1jgr+/bsJ/NMJvFJ3r2o3VYxgvB0H+pnb98RMoqP1uYyzuzdJMAtmYhmvCskFEQVMH6nWq1nak19hJIyGhOEolxTWi1Q42aNmDZ/Cr9+P5fE+ETiE+LZsnErX336Dc+PfZF5v8zn3zX/IaXk4f89yNUDrtTLZzZz7XUDuaxPb67ocRUb1m3klmG3883ML7FEOBWxv1GFfOFvtAPjfTGXXFdkkbZt2rgi+oBeu+YropHeJlv/XWptb/21HfbUHkDvqy6lXPmn+WfVWtb/u4HmrZoR+ugxwSUcNrM67bKPZDG6KCSO88IZH7t+i3okOCJVuEWF0UWi8q4p162+Gu8X6KNZ6bZp6tSfg/rz54lnxvDHvD/59INJ3HTvCKpU1a/ChRLf55q/13Bg564vO3vj9ReNqOgiQUYI8aoQYocQQgohWmo+byyEWCqE2Oz438ifbUGSiTc/eI3U2rVYtXw1zz7+QjCr98mqFau5/Ya77LajT41h2A3Xue1z9/13YbVamTXte7ZtDb3mVkrJmPueYPOGLaTVr8vw268vdp0VK1XgzU9fo0Pn9tx414hi12exWKjfyL68v32zijBSGmnWsin3jRnJPQ/dxa333MzL77zI59M+pUpKFf5a/DeZZzLpP6Qf9z0y0msdZcuV5ctpn1MlpTK/z1vAEw//L4w9iD7y8/PZtnEbAM29ZG+NFhISE7hm0NVAbGuzo5nt/9nvrQ1aRle8dE+0atuSXpddTE5ODt9P/THS4ij8QIjIJKMRQlwshPhbCDFBCHG5Y076jxDiolC2Gy4d/UygO7DT8PkHwLtSysbAu8CHfm7zC5PxTwhXEQgqV67MR19+iNVq5eN3J/LDzOKFCBNCuIo39u3dz9AB15Odnc2Im67nwdEP6I4TmBCYSE1NZdDQa7HZbLz92rte7L+1xct3IMy6EmeOcxWt08E3H33LlC+mkpiYwMdfTSApIRGzMLuKxWRxFa28vr5ji8lCl66d+W7uZNp1bEucKc5V4s3xuiI0fxaT1VWspjhdcUaW2OrBZEQIk6sYkVK6SrSgG/ciaLcCdRjRtpVoSdAVqfnzdVyXmm1cpVZydV0pYynjKrd276ErbauluYrFZNYVf/uqRStvj94XMu+vX+g3qC/9Bl/DK++OK/T7rFO3Np9N/oS4uDg+fv8TPv1okv6K8jk2/l17geKrbZ/bNH/aa9ebH4ST3dv3kJ11luq1qlHBEH/eeT/ycKXr2tNey2ZhMZQCOXydu/HmBF3R3ge0DB4+CIDpU2Zy9uxZwokw/IUX/8+7OLPVVSzC4ipG+cvHlXOVCvEVqRBfkZ3r7OaTTdo0wmqy6GJpO9Hf84PvvKb7jdH8fnk6rwddPxCAGZNnBa19f/B1zwwGvn4btGNovKbiTFZdiUZMJuFWwsDzwBDgfeBT4ALgIuCpUDYalkm2lHKRlHK39jMhRFWgPfCN46NvgPZCiBRf24ItW4dO7Rn7wuMAjLrjIXZsC52GNDMzk+sGDOPA/oOc3/08Xn7rJZ+TgXsfvAchBJO/nMK+vfsDbvf4sRN8/92PXjNdLvvjL1554nUA3vzwdZ0TWbThdH7c6tC8KRQAKdVSePuTt3h74pvEx/uXjOHc8zrx5vuvATD24SfZuqV0nlNOU5EmraIvPrYnWrVrSYvWzTlx7ARzvp/rc18pJZ98+BlffPKliijjJ1vWOiLNtGoQYUn8o9dlPalQsTzr/lnPpnWbIi2OolAiZpOdJaXcJqVcDWyWUu6SUh7DHm0kZETS8bE2sFdKu9Gt4/8+x+e+trkhhLhNCLFCCLHi8OHDRRbklrtu4oq+l5NxKoPbht5JVlZW4QcVkczMTO66ZSRrVv1DWr00Pp/8WaHxehs2asCV1/QhNzeXyV9OKXKb27fu4MlRz9C9eQ9G3fwwdw29F5tNb0O9O30PD940mvz8fO59+B76Dry6yO2EE6cme9vm0jkhUgSXa4cOZNDQgWRnZ3P3rSPJz88v/KASxqZ/7UloGrcIqkVeSBlyg12b/foLb5Kd7TkjqZSSMaOe4NH7xzDq7ofp1fUyVq1YHU4xY47jR05waN9hEpISqBXFTo9a4uPjuXrAVQBM/ya82mxF0bGbi0REkx0nCrSaWnvYkBqxl4joIlLKCVLKjlLKjikpRVd2CyF4/f1XSKtfl//WrmPsw08GSy5WLl/FA3c/SNO6LZg5bRblypXlmxlfUalyJb/q6H/tNQDM//W3IrU97qmX6drmAr6eOJnsrGziE+JZtvAvPv/oS9c+maczuXfoKE4eP0n3S7oy+slHitRGJGjY1B5KUGmyFcHi+VefpXrN6ixftoL3xn8QaXHCziaHJrtxy9iZZA8eMYiGTRqwddM2XnrmFbftUkoef3AsEz+wmwTVrFWTf9f8y6XdLmf0A4+Rk+NvPorSxWaHFrtRq4aYzb7NjKKJa4fao87MmvK9WrGIAYTJ5FbCgMsTXkqZDiCEiAMeDWWjkXRD3Q3UEkKYpZT5QggzUNPxufCxLWBMXjyWbTKf8uXL8dGXH9Dnor58MfErOp/fmYFD+rt5PWtjUBvJl/kuOzEpJXffOpJvvpjs2t6xUweeefEpmjVr6q0KHUKYuKDHhZjNZv5etpyMkxmUK2+PwuGWeUxjdrJlwxbGv/IOJpOJftf15aZ7bmD75u3cff19PP/EOHpe0oM6aXV4/K4n2bJhK/UapfHaRy8Rr4l7LMyGOMde7DqN9s9VEgsyaBqPqZFUkO0x2VpWt00XS9dHZsK0hmmYzWZ2p+8hOyubhMSCaBdaD3hjFAN/bZ6132ok/Z99ZZ1ziy3sJXqDMSKANtKMNpoLoLPdM9qaVk+q5nqtzbKZkXNat582k2PVRP1DZMWEgvdmwzmjjT7hbt+o8aLXZh/0EcunKBaSAkHFihV5873XGNx3KC88NY7el19K46ahNZ3wZc9btNj8mm1+RkUyXgub/3NMsls08ivChxNd1AfpPd6vtj/G+4XQbDNGQtLKoj1HBILEhATenPAaV13Ujw/emsBlV/amU5dzENhjUD/x0P/4+H37BHvSt5/QpWsXXn3+Nd4f/yEfv/8JqbVTGTnKc6KtaM+Y58TXeVInOc31Wns/PXb2qG4/a0LBdW8RFg5sPAhAu/ZtSUksiCiVYE7QHaeNYKEd78rx+ugeVk1c9ERzkm6b9lu2GmK3+7zfeail/TntqdcwjR1b01ny+1Iu6NXd435Fxf97ia9r1ng9eJ5DGKOE6OownJPae6Hxt7RZ5Sg384lQxkcppe7kF0KMlVI+C4Q061/ENNlSykPAGuyG6Dj+r5ZSHva1LZQytWrbkudefRqAh+95hE0bNhe5jgpxVagQV4UvPvyab76YTFJSEvfcfxdLVy9i3sI5nNe1S+GVaChfvhydupxDfn4+f/6+yK9j3nxpPFJKht4whHHvPk/jZo3offWlXDngCrIys7j/9gd5/YU3mfvDfMqWK8u7X79F2fJlC684CoiPj6NJy8bYbDb+Wrg80uIoSgi9el/M0BFDOHv2bKkyGzl+9DiHDxwmsUwiteulRlqcItGuY1vufvBOpJTcd9sDZGZmsWD+H1zR42o+em8icXFxfDZlIr16X0xychmefGEsE7+yh0P96L2Pyc3NLaSF0sfe3fZ06mkN6kZYkqIhhKDfkL6AMhmJdgSRiS7igSsL36X4hCuE33ghxB4gFZgnhFjn2HQHMFIIsRkY6XiPH9tCxrCbrmPAkP5kZmYxrP8I5vz0a5EjUixZsoQHH3wQgEmTJvHcS8/QrLl/2mtP9LykJwC/+WEysmXzVmZOnY3VamXkw3frtj35yhNUrVaVvxb/zWsvvIEQgtcmjnOFxYsVLr2yFwC/zvbt9KRQFIXnX36WmrVqsOLvlUz7dnqkxQkLG/+zO4o1at4wUj90xeKBMffSrGVTdmxLp3OL8xnYZzDLly2nUuWKfDblEy65rJdu/8uu7E2jJg3Zu2cf38/4IUJSRy8H99o12dVrVi1kz+ij7yC7XfavP8zllBcnf0V0ECGbbCNhaTRc0UXulVKmSiktUsrqUsoWjs83SinPlVI2dvzfpDnG67ZQIoTg5fHjaN6qOTt37OS6fsPoef4l/PLjHL8m24cOHWLgwIHk5eUxatQoBgwYUGyZLr6kBwC//fp7oTK8Me5NbDYbg4YNpHYdvWaqYuWKvPz2i673Dz51H917dSu2fOHm0qvtiXvm/7RAaaMUQaN8hfKM+Z/dPO+1F18vFdrsDWvtt9UmMeT0qCU+Pp63PnwDi8XCoYOHqFylEmOffZyVG5fTq3dPt/1NJhO333MrAO+N/yCqQnpGAwf2OSbZqdUL2TP6qFWnFl26n8vZ7LP8PPOXSIuj8EKkMz5qCMvFH3uqizCQnFyGn//4nmdffppq1avyz6p/GNr/eu648S6fcVkPHjjEoEGD2LdvH127dmXcuHFBkadVm1akVE1h3979Pk1Ytm3dzneTp2OxWLj3Ec/2hpf2uYRX332ZZ155ipvvvTEo8oWbhk0a0LBpA04eP8nfi1ZEWhxFCWLQ0GupU7cOmzdtYea0kr/svMmhyY4lp0cjrdu1YtLUTxj35gus2PA39z50D8nJZbzuP/C6AVSqXJHVK1bz99K/wyhp9HPApcmuVsie0Um/IfZAAVMmTY2wJOHlpWdeoWfnS/hp1s+RFsUvomSSHRZKbs+KSWJiIrePvJWVG5bz3MvPUCa5DN9Nnsa1fYZw8vhJTMLkSm5y6OBh/vfoU3Rs1okFCxZQtWpVpkyZgtXqTyB4fYIBbQB6Z8B9q9nKxQ6TkQVz/8AsLG4B6E2YeHPcW9hsNq4dNpC6aXURwuTmFAEw9MYh3Hr3zcSbE4gzxbuKr2QW+va0CW6ErqQm13KVJEsZXamdnOYqCZZEXdHupwusb47XFWcChMuu7g3A3NnzXPvq5dUXb7g5GGpKtGJMCuINbXIeIUwkWpJcxWqy6or2vCsfV0FX/E2+oUtzYWjbVyKiXFuuqxiTZWjH1N/EPWZh0hXt+WRM5qLvm8BqjWPUo/cD8OoLr7mFvAwd3s88/feqL9qEGG590xTt961l43/2h/aGLRqQZ8vz+f24J8IpKNprzTiGhjuc3+eTFt0Yeqij56U9uOG24SSWSSikJkhKSmLELcMBeP/tIuc4C4hA++3v/ch4n9TeT43JfLQkmBNd5WxmLhmnMoiLjyMlpSpJliRN0d/LtQlutFKWi6vgXUbNPSDOkGTMeL/WJUEy/MZ4/w7i6DvgKspXKMeaFf+w/p8Nhd7/C0dqivFMLpDRHf9GTt83w71KU4M2mZqU0u33eeumrfz3zzrycvOoU7aurkQdkQvh50GS0FOiJ9l1khvoStWEmq5SOb6aq1RLTNWVlIQarlKrQh0ef3gsC/9cSM2aNVmyaCm9L+zDd5On8cJT4xjcdygdm3Xivbc+ICsrm759+/Lnn39Ss2ZwY4w6J9neQvlt37adb7/5DrPZ7JZSun7ZJq5SPTHVVWKZ3g6Tkbk//FasZf1YiSSgCB9Drh9Map1UNm7YxOwZ30danJCRk5PL9s3bEULQsFmURyQoAlUSqruK9j6v5abbb8RqtfLjrJ/YucOYiDi0hCpDoC+cv23NKrTRFS0H9zu12NWLdV9sWqG1qzQo29RVgkWl+BRXqZZYy1UAEpMS6T+kHwBffPJ10NqMdpxmPtWqR/8KhCBqzEUuDEcjJXqSHUzatWvHX3/9RYtWzdm6eSu333AXb7z0FvPn/EZmZhaXXnEJ85bMYcaMGTRp0iTo7fe4+CKEECxdtIzTp0+7bX/x6ZfJz89n0NBrSasXhU+vQaZpiyakNajLsSPHWLFkVaTFUZQg4uLieODh+wB4+flXw6jNDi/bNm4jNzeP2vVSSSyTWPgBJYjqNarR79prsNlsTHjv40iLExUc2HsAgBoxaI+tZdjN1wEwY8pMTme4/1aWRA4ecEyya0T/JDtaNNlSyjPhaEdNsotAamoqP8yfzQ23DKfnJT247+GRTPzqI1Zu/Jsvv5tEm3atQ9Z25SqVadexHTk5OSz+c4lu27///Me0b6cTFxfHo48/FDIZogkhBJdebY8cMGf2rxGWJrrZvX0PebkqQUNRGDriOmqm1mTDug38MOvHSIsTElyRRVo0jLAkkeH2e24D4Nuvp6oEJsB+xyQ7Vu2xnTRu1ohzu3bizOkzzPi25PtVSCk5eOAQEBuabIhYMhp3OYQwCSEGCyFeE0JM0JZgtVFoz4QQPfwsFwRLqGimXLmyvPbOK3w7+xueeOYxrurXhzp1PWZ7Dzo9e10EuJuMvPCk3cHy5jtupHaYZIkGLr3KGcpvXonVNhaX5QtXcM251zK8183s3LbL575fPfIV8yfMJ+OUCn8VHx/PfQ/eC8DHH0wMWTvHjx2P2ATPaY9dWifZrdu2omHjhhw7esxNcVEacWqyq9eKbU022EPxAnz+0ZclPoLMqZOnyM7OJrlssk+H32hBIDCb3EuE+BB4C3t4aauhBAV/Hh/mAh8DEwspJVPdE0X0vNRul/3N55P5+Xt7iKIlC5cyf85vJJdNdi1xlxaat2lGrTq1OHzwCJM/ncqOrTtUSD8Dq5f9A8DmdVsY3vMmfp0xz+N+u9ft4b/561j09eKYSqccSgZdN5C4uDgW/bGY/fv2B73+RX8spkntFnRq2YVPJnxKVlZW0NvwhTOySJNWoc1uGa0IIbiybx+AEm177y+u8H0xrskGuLxvbypVqcT6f9ezesWaSIsTUlymIrGixRZgNpncSoQYAHSUUg6SUt6oLcFqwJ+eZUop60sp6/kqgJrd+ImvKAC+OKdTB4ZcP5jMzExuGHQzb7/2Ls+NfQGAkQ/cTUrVFPeIAD4caOPNCbpiNllcxWKy6op3D229x7XWW90YBUPbT613ukVYdJ7rxlT23jAJE70dJiNPP/gc3dv2pHFKCwZfMYx/V/+n89SW0uYqvtBHVoieaCO+ojxoZbSa41wlwZzAzk127XXdBnXIPJPF47c9yRuPv02VhCqkJKa4yo7ZWwHodM05JJXRpz/Wev1rxyw1OVVXdJFADH8J5nhNSdAVTxF1PBeLq0i3v4IYAPk+xtgolzcnNAFUqFCeXr0vRkrJjKkz/TwPjGeN5zNIIHjzlfHk5+ezM30XD9/7KO2adOTLT7/SRS0wRi7wFVnGKqyuYuxnZl6mq5gwIaRwabJbtW5JoiWRREuim8yBRMQwoo0i4R61qKAYt+n67SNCTHG48hr7JPuH2T+Sl59nP5cMkRy0uJ91Wvz77or2XWrr834/Mkbu8HUOeTvOmYimVmotzMJMojnJVYzRRfS/Ff7erw0RRHyMob6f/t2JtfemMgllGDRsIABfTfw6ovdytzuBpt/678QYCamgGLE4vneLyaJxeqzqaC84120osQjhViLEESCkmcT9mWT39bOu/sWQI2aoFF/VVUJFOWtFylkrUtZaQVeEELwz4S2eePoxpJQ8+8TzrPhrJVVSKnPnvaFPiOlMGV8hrrKrhIrqibUdJVVX6pVt7CoAt953EyPuGMZ5F3amVu1a5OXlsfiPJVzS9TLuve1+Duw7EDIZY4GtG7cB8PJHL/DEK6Oxxln5esJkfvthgWufIweOMHfWb5hMJj5/5gvqJjfUlVjEW7QgT1SMT6FifIrH83rgYPttLdgZIDdt3Mzv8xaQmJjIux+Np0271hw+dJj77nyA9O3pQW3LEwf3HeTEsROUr1CO6rViQwNWXLRRR6okVKdSfAoXntuDtLQ0Dh44xF9hipkdiegi/rDP6fgYgLlIzaQ6rhItOE1GZk6dxSGHzXJJ5ECsabIRxdJkCyHMQojVQogfHO8rCSHmCiG2OP5XLII4Y4E3hRCVitgNvym0Z1LK+eDq2DNCiHgv+xWe81tRbIQQjHr0fiZ+/RGJifaYsPc/ch9lyyZHWLLIUKlKJR4fN5rPZn7M3xsXs37vP9x5/+1YLBYmf/EtnVt35Z9VayMtZkTIzcll57ZdCCGo37geg2++lkeffxCAt556h+wse2Kl7z6bQV5uHtdccw1165b8yDRF4dLLLyE5uQyrVqxm25ZtQav3I0dEi2uvG8CQ6wfz+9L5rhTgSxYtC1o73tjgMBVp2rJJqQ5jKYSgf3/7g1RpT7PuVEiUBJtsgPoN63Fpn0vIzj7Lu2+8H2lxQkZMRRbBYS4ihFspAvcBGzTvRwPzpZSNgPmO9/6yDrgYOCyEyNGWogjkC78fH6SU+cDdKLOQqODKa65g7pI5vDNxPDffGZuZG0NB+QrleeL5MSxcvYALenYn80wmr734esD1Lf9rBSPvuI+NGzYFUcrwkL51J3l5eaSm1SIxyR6ibcCIfjRq3pB9u/bz5Xtfczb7LNMmzQDgvvtKl02/PyQmJnLF1VcAMG3qjKDUeeL4CSZ/+S0At91tT/EthOCCi7oDsHTR0qC044ttm+wPDE1alE57bC0DBgwA4PtZP5Z4JzlvZJ7J5OTxk8TFWalcJWRKvbDz4GP3AzDpoy9KrDbbGVmkeoxMsiFwm2whRCpwBXY/QSdXA5Mcryfhv/UFwJfAUqAP0MtQgkJRrc0nAaG3S1D4ReOmjbj2ugHKUc0D9RvU492JbxMXF8ecH+cWeQk+MzOTxx8ZyyUXXMYXn37F/XeNCo2gIcRpKtKwaUGiEYvFwpgXHwbgs/Ff8OV733D8yAmatGpM165dIyJntDNwkF3TOfWb74IyCfvi06/IzMzkgh7dada8IEnHed26AOGZZO/ZuReAOvVKTzQib3Tq1ImatWqwd/deVq1YHWlxIoLL6bFW8RLRRBut2rak95WXlmht9oH99hWI2DEX8arJriKEWKEpt3k4/E3gEUDreFNNSrkfwPG/KLa89YEbpJQ/Syn/0JaAOueBok6yOwFvCSHShRALhRB/OkuwBCqZ6F0fgvFD7e7eWPBndGiMRtzSpRucPvzBmLpb+x3k2XKpWi2Fa67ti5SSTz74zHWcd8clyJf5LP9rBV07XMC7b72PEILExESWLfmLv5etwOWEFETnK899879+b/tt27gdsE+yTcLkSqF+/gXn0evKnmRnZvP+i/ZwoMPvGOq1Ha2TTdm4cq6SbC2rK9rxczrSOcuR7KNB73e4uKBHdypXqcyWzVtZ+89/btt9OTIbnZzy8vL4yBES8I57Cn5DBHYHxLJlk9mxPZ2D+w96TiPu4/sxXkM6x1/Nn9Ucx77d9mgpddLq6hzafDmI+etQ5anf3oov+W3S5rH46wjnLyaTiT6O1YrZYTAZCY0zmv47MQuTrhTGvr3286F6zQJTkThznKsYx96Xk6r/EmudM0PnmFigzf6SIwePYTFZfToVGqX0x/HU1znp65z395py/74L2nJm6nROsivGV9KVaEMIgcVkcivAESllR02ZYDiuD3BISrkyiOIsB0Ka7tY/t+ACPnIUBXZHmkApZy2Kbb6divEprtdHsovv0BcMJxWj82Pbyv45Qx7K3lfstgsjJaEGj44azZQvv2Xy51N59YU3KFu2LIezvYdjO336DNf1u54jR47QqlUrPvnkE6ZPn86LL77I22+8wxdTJnk9NtpwarIbNXN3Xnzwmfv549eF5JzNoVJKJS7rd2nI5elS7cJC99l08l/d+6z8TJqUbxU0Gfx1WC6vPa/j4Jr+V/Pxh58wbcp02rR1Tzq1dfNW4hMSqF0n1We9C+csZffO3TRo0IBrrx7iSid8MucoFouFTp07MX/ubyxdvIx+A6/xv2NFZHf6HgBS69YKWRuxxFXX9GHCex8ze/r3PP38kyF9wIsmx8c6yfb5Re7RRQA0rNuItORGAOzNTA9qW5U0v18Ax876DupQ0bB/YVRL9HztVe9cmyuuvpwfZ/3E26+/y/OvPFOkesOJt3nBgcy9Xo8pMBcJXTCGYBNgyL7zgauEEJcDCUA5IcSXwEEhRA0p5X4hRA2gKHZB84HvHclndBMDKeXXgQhppEg9lVJO8laCIYxCEWzatWtHt27dOHXqFJ999lmh+3/y4accOXKEc889lxUrVtCxY0dGjhxJXFwcP8z6MajOb6HGk7mIk9S6tbjlfrst//V3XEdcfFxYZYs1+jtNRiZP5egRvVZ+5rRZnNv2PNo168AzY58jMzPTYx25ubk899xzAIwcOdI1wdbiNBlZsjB0JiNSSvbssv9opxbyUFBa6Hx+Z1KqppC+I51/1pQ+R+k9e+wPXbVrl0zzoYcftzt8T/rocw44NL8lhZiLk01gjo9SyjFSylQpZRowGPhNSjkMmA2McOw2AihKms9bgDjgHuB5TXmuCHX4pMiPE0KIakKIK4UQNwohbnKWYAmkUAQbp0Pf+PHjfWaGPH36DO++8R4AzzzzDHFx9olnjRo1GDZsGFJK3n3rvdALHATOZp9l1/bdmEwm6jVK87jPnY/cxnd/Tubm+24Iq2yxyLldOtG0WRP27zvAxd0uZfNGe4zpad9O56Zht5CXl0dubi6vvfQ657bpws8//OJWx+svvcGqVauoXbs2N93k+ZZ5XlfHJDuEdtlHDh3hbPZZKlSsQNlypTMqkRGz2czV/a4E7GnWSxvOSXZqasl86GrZugV9+l5BdnY2n074LNLiBI3TGWc4c/oMiYmJlCtfLtLi+IUQxQvh54FxQC8hxBbsDovj/D3QR+6X+sURSEuReiaE6AtsA57Bno5ypOP/9cESSKEINldffTV16tRh69at/PTTT173++SDTzh65BhdunShVy+9c/GDD9o1IV9/MZkjh4+EVN5gsG3zNmw2G3Ub1CE+wWPUTYQQNG3Z2KNGVaHHZDIx/cfvaNOuDTu276DXBb15+olnuHXE7eTn5/PIYw8x989faNW6Jbt27mZwv+t4/NGxroe61avW8PILrwLw2WefUbZsWY/ttO/Yjvj4eDas28DxY8dD0hen02PttJI5oQqUwcMGATB18ncRS3UfKXbv3g2U3Ek2wE2321fupn79nU9lSyxx+KDd5KZa9apR48PiD8UM4YeUcoGUso/j9VEpZU8pZSPH/2MhETpAivrr+hxwo5SyHXDG8f82wKchuhDiVSHEDiGEFEK01HyeLoTYKIRY4yiXarY1FkIsFUJsdvxvVERZSxnRkpvQP4wZHwNxBjJmOcu1eY4uabFYGDlyJACvv64P52dzZAc8ffoM7zi8z5966im3G1bz5s259LJLyM7OdjmuBR9fY+jfNqdjzFaD06OxGL+7OFNwzUWcTpbaEgjBtMcuLjVr1eSn+d9zxVWXc/LESd545S1sNhuP/W80jz/1GJ06d2LBst944ZXnsFgsvPPGu4wYciPHj5/gjhvvJC8vj3vvvZcePXp4bSM+Pp4OnToAsGzxX27XhdFRSpf/UeNcVSm+is5ZsIyljKvs22X3h0itk+qendPoTBxBJ1RvDsq+MugVR872HdvRqHFDDh86zG9zfy+O6G74crYOFH8yOvqLJ022r/rzbLH3ENL1gvOoWasmu3buZsXSlV6dNr2NlTQU41HetubL/GLL7pad2SH70YN207Wq1au6MpQaM+pGGwK8OT6WSIrq+FhHSmlcS5sEHAAe8nHcTOAtYKGHbQOklO4u+/AB8K6U8kshxDDsGnPvv05RTPm46PPwjUYqxxffpqyGF2fOW265heeee47ff/+dP39fSPeLuuna/fjNlzh21LMW28mYRx9jzs+/MvGDT3hm7LMucxKAU7mh0ToGyuYNWwBo1LT4GRvbVDqnyMfsOzM7oLaiaVKtxXkNl4+rxOwZ3/PYY48xfvx4nnzySR599FHXfqc4zt333UXL1i25/trhzJ7xPX8uWMiJ4ydo1LgRL774YqFtnde1C0sWLmHJoqVcfuVlAcl7JNu778+unQ7722I7PcqQZr7deXpryOo2UiGuCgA3jLiRxx9/nMlfTXElByoNBGKTHYz7dbhwyjr8+uGMGzeOKV9NpUvXzmFr39scICP3RLHqPXTAqcmOnbGwR6eJDWVgMCjq48MhIYRzNNOFEF2whz/xGcNHSrlISrnb30aEEFWB9sA3jo++AdoLIYrmbqxQOKhQoQKPPPIIAM+PfVEXRjEjI4NXXnkF8KzFdtK9e3datGjBkSNHmDdvXuiFLgauSXbz2EyLHs2YTCbGjRtHRkaGboKt5YKLujNnwc+k1q7FieMnMJvNfPjpeyQlJRVa//kuu+wlQZXbyR7XJLtkOrkVh2HDhgHw4+yfOHHiZISlCQ9ZWVkcPXoUq9VKSkrJ/om9/nq7ZeusabPJysqKsDTFxznJjqVENIjAk9HEIkXt2UeAM2PFG8DvwD9AcbzBvhJCrBVCvCeEqOD4rDaw15Fl0pltcp/jc4UiIO677z6qVavG6pVr+HHWzwDk5+czbNgwjh496lOLDfZl6UGD7HabU6ZMCYvMgbJpvd0xz1NkEUVwKCwJVLMWzZi38FcGXXct73w4ng7ndPCr3nM6n4PZbOaf1Ws5ffp0METV4YosUrfk2t8GSp06deh2YVfOnj3L7OmBrcbEGk4tdq1atUq8f0bz5s3p2LEjGacy+OWHOZEWp9gcPmhfsYotTXbkJ9mOAB7Xetk20KHoDQpFDeH3kpRymuP150BjoIOUcmyA7XeTUrYBzsH+3b8TSCVCiNucWYIOH/Yde1NReilTpgz/+9//ABj39Evk5eXx9GPPMXv2bCpWrMinn35aqE2nc5I9Y8YMsrOzQy5zIGRlZrE7fTcWi4W6DepGWpxSTY2aNZjw2QdcN3yI38ckJyfTpl1r8vPzWb5sedBl2r3T4eRWR8XI9sTgofZr/JuvovtBOliU9MgiRoYPHw7AlK9iP4rMwf2OSXYsabI9JEvyJ2FSkHkU8Obn18CxPSgEEsLPLIQ4XwgxELtmeXOgjTtNSKSUZ7Frw893bNoN1BLC7pXg+F/T8bmneiY4swSV9OUuRfG45ZZbqFuvLps3bmHEtTfxwfgPsVqtTJ8+nSZNmhR6fOPGjWnbti0ZGRn88ot7mLZoYMumrUgpqdeoLnFxgTkcKiLLeV3PA+CXn34Nar02m429DsfH2kqT7ZGrrrmSxMREli5aSvr29EiLE3JKeoxsI4MHD8ZisfD73AWuRC6xyiFNdJFYQQgwCeFWwszlwMdetn0C9AlWQ0UN4dca2AJMBR52/N8ihGhT1IaFEGWEEOUdrwX24OJrAKSUhxyvneqfIcBqKaVSUzswplm1BcGDOZwUlmI5VMTFxfHo2IcBmPuz3a56woQJXHjhhX7XMXjwYCC8JiPaaAomw592m1mY2bLe7jDWsGlD/X6aqBEmk9mtKKKHAYPtyW+++PRLjh095oqcYRYWXdFHjfH+g+WMSnDy8ClycnKoXKUyZZPLYhZmXR1n832tzrjF9QhBzwvQRnnQ9zO0942yZctyZV97mvXJX39bqJTe4k1o8Td9diTwpsnWnk/GCC6xFC7OSEpKCj0v7UF+fj7Tv53h3jfDSPl3phuvC9+xSIqKMbpIvDmeeHM8Rw7aw8lWrV7Vda3o09VHp/mPp4hXYaa6lNJjViLH/DPwdN4GitqzT4B3gVpSyk5ALewmHp/4OkgIMV4IsQdIBeYJIdYB1YAFQoi1wH/YTU/u0hx2BzBSCLEZezzuO4ooa6mjfFwlysdVopy1oq6UVOokN3Ar/tBvUF9atG4OwP2P3MsNN9xQpHavvdZuyvX99997ze4XSYIZWSRQete+yq0ovFM+rrKrALRt14ZLevciMzOTD8ZPCFo7rhjZPrTYVRNqukrl+GquUlooH1eJW2+6HYDPPpoUdLOwaEqrDpGLkV0pPsVVKnoooeSWG24FYPo3M0PaTqg55EqpHjvXp9CEmtWWMJPjSMHuLp/9c8/xgAOgqJPsxsCb0hGawfH/LbzbtuDY715HOkyLlLK6lLKFlHK7lLKdlLK14/1AKeV+zTEbpZTnSikbO/5vKmrnFApPmEwmvpr2OZ9P/ZTRTz5S5OPr1atHp06dOHPmDD/++GMIJCwemzbYLbgiOclWFJ+HxtgTIH30/kROHD8RlDqdTo8qEY1vevbsSZs2bThw4ADffDk50uIUi9zcXG666SaaN2/OjBkzdJGVoPSZiwD06dOH5ORkVq9eTfr2nZEWx0Vubi7ff/89x44Vnk8lKyubkydOERcXR8VKsaVMi7TjI7AYu/LWE3fjOdx0QBS1Zz8BRpXUlUD0zTQUCh/UTK1J7z6XBuxNH61RRmw2G6uWrwagWZumEZZGURw6dT6HCy7qzumM03z8vs/FQr/Z7QzfV0dNsn0hhGD06NEAvPXa2+Tnx5Y5npPc3FxuGX47n376KRs2bKBfv3707duXXbt2AfboSs7XpcXxESAhIYE+fexmtz/Mio7pS1ZWFv379+eqq65ynXu+cGqxq1ZLiSnzHbvZW8QdH58HHhBCfCSE6CGEaOL4/xEwCng2WA0V2jMhxBdCiM+FEJ9jj4c9WQixRAgxRQixBJhCIXGyFYqSxsCBAwH48ccfycjIiLA0Baz/dwMnjp2gVu1ayrGtBODUZn/4zkdkZBQ/nJ8rRnZa6dFaBsqAAQOoX78+O7btYFYMhvPLzc3l1hF3MGv6bMqXL8/YsWMpW7Yss2fPpmnTplSvXp24uDj++ecfwB7CrzTRr18/AH6YGflJ9qlTp+h/5UC+//57ABYvXlzoMc5JdiyF74MC36FImotIKVdgVxhfAMwD1jv+XwBcJaVcFay2/Hl82Apsc5T/gBeAOQ6h5jjerwuWQAr/MJssuqIIL7Vr1+b8888nOzubmTNnRliaAoebpQv/AuwphC1mq+4csQqrqxjT2luEOoeika7dz+fcLp04fuw4n02Y5Ob0ZzFZXMWXY53zc6dNdp26dVwORxG2jfSKtj+5Nu8mkqFyKrRYLDz8sN1J+o1X3nIzswC9c6bEpive9gsHNpuN2264g5nTZlGuXFl+/fVXnnnmGTZu3MiAAQPIysri4MGD2Gw2UlJSGDp0KDVqGE1UC+4rNmnz0Epsc9lll5GQkMCKv1ayb8++oNYtDX++2Ld3H1decjWL/lxMzZo1sVqtbNiwwWeMfIEomGTXqKZrK/q12gKTyeRWwo2Ucq6UsjHQBOgGNHGYJwc101yhv6xSyqeD2aAiNMTaRLuCw8Erlrn++utZvHgx77//PlcPDlrEn2KxeIE9S+B5F5wXYUkUTorqfGxMwfzgmFFce9Vg3nnjPYbdMJRKlT2naPaHPbuc2R6LvspRKcTOaIVRM8lzzPfD2fs9fh4MbrjhBp566inWrlnLXwtW0Pmic0LWVjD5e9lyZnxnn2DP+GkanTp1AqBmzZpMnTqVXbt2YTabqVq1Klarf2E+qybUDKXIYSc5OZnevXszc+ZMfpz9E7fedUtY2pVS8tFHHzFv3jz+Xv4XO9Pt5jr1GtRj/tz59O/fn9WrV7N69Wq6desGQM2kOro69mfucoUfrFbDPXxftcToXZWwa7KjJ+qJlHIL9qh5IcEfc5Ee/pRQCahQRCtDhw6lfPnyLF26lNWr1kRaHPLy8li22K7JPl9NsksMPXpdRNfu53P0yFEee+iJgOvJz89n3277hDRV2WT7RUJCAvfffz8A48aNi6wwRSB9h92Z75LLetHhnPZu2+vUqUOtWrX8nmCXVPr3t4fK/H5G+ExGli1bxu23387UqVPZmb6LpKQkLr38Eub89hP16tWjY8eOAKxcudJnPc5ENFVjKEY2ANFhkx02/OnZREP5BfgZ+NLx/xe8B/VWKEosycnJ3HTTTQBMePejCEsDa1f/S8apDOo1SKNWasnSOpVmhBC88f5rJCYmMvWb75j7S2CrmQf2HSQvL4+q1VJITEwIspQllzvvvJNy5crx+++/s3TxskiL4xf799kfpmrU9BilTOGgT58+WK1Wli3+i8OHwpOG499//wWgV69eLF25iD1HdjJ15hSq17CHZnZOslesWOGznpi2yTaZ3UpJpdBJtpSynrMAHwFvAxWllDWBisB4x+cKRanj7rvvRgjBtG+nc+TwkYjKsvhPh6lId6XFLmnUb1CfMU/aM/2OuvshTp0qurOty+mxrnJ6LArly5fngQceAOCZsc96tM2ONpw2xjVrqYdtX1SoUIHuF3XFZrPx8/dzwtLmpk32aMQXXXQRLVq1wGLRm3p26NABKHyS7TIXiTVNdnSkVQ8bRe3ZA8BoKWUmgOP/GOwhTxSKUkeDBg244oorOHv2LJ9N/Bxwd8Ty9ucbfQYxbbZGI04HtsV/2CfZF17UnThTHAnmRF2xmKyuYvVQFNGJM+veXffeQYdz2rNv7z6eeexZzMKMRVhdRXuOVE+qqcumlmhJ4tBeu6auTlpt3XloNcXpSrQQ4YxwOkaNGkWlSpVYsmgp8+f+FsaWC7IGumcm9J6NcJ9Dk12zltJkF0afvo5Qfh6jjAQ/u6lzkt2kSROP21u2bElcXBybN2/m1KlTXuvRarKllLoSzThtstUk2zNngE6Gz84Boi/tXQnHmNWxJGd2DDYpCTV0pbiMHGmPaf/phM9IJLnY9QVCTk4Ofy/5G4Dzu58fERkUob0uzWYz70x4G6vVyqcff0a9Gg1p26gD57frzvtvfaDb91DWAbfjd6XbM/uVtBjZwb6ePVGuXDnGjBkDwPP/e5Gylgoexzpa7sfBMBepnpiqKyWVy66050v48/eFQUv65IvCJtnx8fG0bt0aKSWrV6/2Ws+BA/as4DGnyRbCLUqSKUJRjYQQdbyUoNngFHWSPRb4RQjxtRDiJSHE19htsgP3xlEoYpyLL76YJk2asGfPnoiF81u9Yg2ZmVk0bto49m66Cr9p1rwpL7zyHFarlePHjrN3zz42b9zCs2NfYO/uvT6P3b3TPsmuk1bH534Kz9x9993UrFmTVatWMX369EiL4xNlk+0/VVKq0KVrZ/Ly8vh93oKQtpWTk8OOHTsQQtCwofeMvIXZZefk5HD86HHMZjOVU2IrUpfdJjviGR+dpAM7PJR9QohMIcQnQohyxWmgSD2TUn4BnAtsAMoBG4HOjs8VilKJyWTinnvuAeDll18mN9d7TN9QsegPe/KCbhd2DXvbivBy6523sOfoTrbt3czKjX9zxVWXkZuby/tvfejzOJcmWyUpCojExETGjh0LwBNPPBG1WSDz8vI4eOAQQgiq14gtp7hIcWHPC4ACv5ZQsW3bNvLz80lLSyM+Pt7rfk67bG8RRtK3pQNQq3bNiMSYLg5RZi5yC/An0Ato7Pi/ALgLuAZoCbxanAaK3DMp5Xop5bNSyjullM9IKdcXRwCFoiQwYsQIatasyYoVK3h67DMhaeOXH+fw19K/PW5z2mN3vUCZipQG4uPjqVylMnXq1ubBx+wuMV9++jVHDh/1uP+cH39l+TK7Vqxew3phk7OkcdNNN1G/fn02btzI/fff7zNhSKQ4eOCQPclM1ZRSH6LPX5z3zUV/hHaSXZipiJPCNNnr/9sIQLOWzYIoXbgQEc/4qOERYKCU8jcp5TYp5W/AEOABKeUcYDBweXEa8CdOtl853IUQKmmNotRStmxZvv32WywWC+Nff4fZM74Pav0b1m9kSL+h9O3dj21bt+u2ZWdnuyZQXVVkkVJHqzYtubh3T7Iys/j4vYlu2+fOns9Ng28lNzeX2+65hToqukjAxMXF8corrwDwzjvv0KRJE77++uuocjbbr5wei0zbDm1ISkpk6+atHNh/MGTt+DvJbtGiBfHx8WzZsoWTJ0+6bd/gmmQ3Db6QIUYId6fmCDo2VweyDJ9lOj5HSrkdKF+cBvzp2f1CiHpCiPq+CnBvcQRRKGKd888/3/UDfOctd7NlU/CSSE362B65JDs7m3tuvVe3VP3mS+M5e/Ysrdq2pFLlyji94RPMiUFrXxEdGCNMOJ2GHnj4PgA++eAzMjMyqZFkz/j287Q5PHzzGPLy8rjr/jt45uWnIih90TALi65EC/369WPZsmWcc8457Nu3j6FDhzJw4EAPE+3gR6bwB2WPXXSsVivnnncuAEsWLvUzApR3TIY/J/5Osq1WK23atAFg1apVbts3rd8M2CORuEWdiYG06lFkLrIQ+EwIUVcIYRJCpGHP+7IQQAjRCnD3Ii8C/vSsDLDVj+LdwEihKCXcd999DBw4kIyMDIYPvhFTTvGXa7Oyspj81RQAylcoz19L/+aj9+0ay+lTZ/L6uDcxmUw88exjbsfWTKrjpdR1K4ropEJcFVfxRufzO9P5/M6cPHGSTz+axF9L/mbsTc/y6G2Pk5+fz+OPP847r79HtcRaVEtM1ZVwROcoaZx77rksW7aMjz/+mOTkZKZNm+YzEkQ42b/PPidIq12P8nGVKR8XW45x4aZyfDUqx1fjkp6XArD4z8Uha8s4yS5rraArWnyZjKz/126l26JV7JmLCKInugh2m+xK2J0dc4HtQFXgVsd2oXkdEP4kozFJKc2O/75KUnEEUShKAkIIJk6cSNOmTVm3bh0PPvhgseuc+d0sTp44SYdz2vPex+8A8OzY55k+dSYjb7NrMJ8e9yQXXXxhsdtSxC73P2IPJfn8/17kih5XMXPmTKxWKy+++CLPPfdcDGi4YguTycTNN9/MjTfeCMDnn38eYYnsODXZtWrVirAkscWFF14IFDiRhwJ/NdngfZJ94sQJ9uzeS0JCAvUaxKZ/RbSYi0gpD0opewK1gS5AbSllDynlAcf2tVLKBcVpI7bcUhWKGKBs2bJMmTKFuLg4PvzwQ37+4edi1ffpx5MAuOGWEVx+5WUMHNyfrKwsbrn+NrKysrhuxGBuu+eWYIiuiGF6XtKD1u1ak5+fT8VKFXniiSfYuXMno0ePjrRoJZrhw4cD8PXXX0ckspARZ7ZHNckuGh06dKBMmTJs3bLNtRoQTI4ePcrRo0dJTk6mZs3CM3F6izDiTMvetHkTzObYS0ceTdFFHCYig7EnVLwFeFIIMUEIMSFYbahJtkIRAlq3bs2LL74IwN2338uhg4cCqmfdf+tZvmw5ZcuV5ZqBfQF48bXnqVotBYBzu3TipbdeVFpKBUIIvvpuEp9NnsiaLSt49tlnqV69eqTFKvF06NCBZs2acfjwYX755ZdIi8MBxwQxNVWFaiwKVquVbt26AbBkYfCjjDi12I0bN/brft28eXMSExPZtm0bhw4V/H44J9mxGVmEqEpGA3wIvAWkAlZDCQphmWQLISoLIX4SQmwSQqwVQkwXQqQ4tjUWQiwVQmx2/G+kOc7rNoUi2rn//vvp0aMHRw4f4e7bRxYagcCT44rT4XHQkIEklymDACpVrsTkGV9z9/138sW3n1EmoUwou6GIIWrUqkGfvldQpow6J8KFEIIRI0YAkTMZ0S67K3ORwHGZjITALnvzZruzoj+mIgAWi4ULLrDH7/7554LV0LVr1wLQolVz+++Fh79oRhA95iLAAKCjlHKQlPJGbQlWA+HqmQRellI2kVK2BrYB4xzbPgDelVI2Bt7F/mSBH9sUiqjGZDIxadIkKlSowJyffuWbT7/16uTiiczMTKZ8/S0AI24ZrtvWtn0bnh33NFVS7M5wTqe1SvEpuqIoWRhTd2vH2unA5SyxjtFZN5oZOnQoQghmz57NsWPHIiaHlNJl6qAm2UXHOcle8ucyKgb5/lkUe2wnV1xxBQA//vij6zPnJLt5y+ZBlC6cBBZdRAhRWwjxuxBigxBinRDiPsfnlYQQc4UQWxz/KxZBmCPA4QA74hdhmWRLKY8ZjMeXAXWFEFWB9sA3js+/AdoLIVJ8bQuHzApFMEhNTeX9998H4JlnnimSzeasabM5dfIUHTt1oFXrlqESUaFQFJPU1FQuvvhicnJy+PbbbyMmx6mTp8jMzCQ5uQzlyhUrG3SppEOHDiQnJ7Nlyxb27t0b1LqLM8meM2cOubm52Gw2l7lI8xiMkQ1OTXZA5iJ5wINSymZAZ+BuIURzYDQwX0rZCJjveO8vY4E3hRCVitYL/wm7jl4IYQLuBGZj9+jcK6XMB3D83+f43Nc2Y523CSFWCCFWHD4c0ocShaLIDBo0iCZNmrBv3z6+/97/JDW/zfsdgIFDBoZKNIVCESScDpCTJk2KmAz7VIzsYmGxWFx22X/88UdQ6w5kkl2vXj2aN2/OqVOnWLRoEenp6Zw+fZqq1au6VjFjj8A02VLK/VLKVY7XGcAGoBZwNeC86CYBfYsgzDrgYuCwECJHW4pQh08iYQjzNnAaeCdYFUopJ0gpO0opO6akKEW3IroQQnDXXXcBuLTa/uDM4tjl/HNDIpdCoQge11xzDcnJySxbtsxlfxtunJFF1CQ7cC666CIAfv/996DVmZ+fz9atWwG742NR6NOnDwA//PCDS4vdImZNRXxmfKziVJY6ym3e6xBpQDvgL6CalHI/2Cfi2ONc+8uXwFKgD9DLUIJCWCfZQohXgUbAICmlDdgN1BLCvlbg+F/T8bmvbQpFTDF8+HCSkpKYN2+eS6Phi8MHD7MzfSdlypSheYvmRCp7nEKh8I8yZcrQv39/gCKZjPh2WCvade9KqZ5aeIg4hWeck+x58+YV6qxegNQVYwbG9PR0cnJySE1NLbJTstYuW+f0iAmBKaqyofqH1+giR5zKUkfxGEZPCJEMTAPul1KeKqYw9YEbpJQ/Syn/0JZi1usibJNsIcTzQAegr5TyLICU8hCwBhji2G0IsFpKedjXtnDJrFAEiwoVKnDdddcB8MEHHxS6//K/7Frsdh3bYbHE2k1UoSid9O3bF9BHgwgnKqV68WnXrh2VK1cmPT2dHdt2BKVObfi+onLeeedRoUIFNm3axPTp0wF3p8dYytpanDjZQggr9gn2V1LK6Y6PDwohaji21wCKEi93OdCgCPsXmXCF8GsBPIZdE71ECLFGCDHDsfkOYKQQYjMw0vEeP7YpFDHFnXfeCcBnn31GZmamz31X/G2fZHc6t2PI5VIoFMGhZ8+eWK1Wli1bxtGj4Y8ysm+vmmQXF7PZzMUXXwwU+MUUl0DssZ1YLBZ69+4NwJo1awBoHqsxsgG7JrvoIfyEPbbtRGCDlPJ1zabZwAjH6xHArCIIMx/4XgjxoBDiOm0pQh0+CVd0kXVSSuEI4dfWUa5xbNsopTxXStnY8X+T5jiv2xSKWKN9+/ace+65nDhxgsmTJ/vc92+HJrtjJzXJVihihbJly9K9e3dsNhu/zf0t7O27zEXUJLtYXHLJJUB0TLKhwC4b7A8BjZsWXSMeLdg12Wa34gfnA9cDPRyK2jVCiMuxh4PuJYTYgt2WepyvSgzcAsQB9wDPa8pzRajDJyrjo0IRRpwOkO+++65Xe7+8vDxWr1gNwDlKk61QxBSXX345AL/+8mvY23ZpsmupTJ/FoVcvu9/bwgULixR21RNSSn77zf7A1a5du4Dq6N27NyaTfbrWtGlT4uPjiyVTRBGBabKllIscytrWGmXtT1LKo1LKnlLKRo7/fi8hSSnreSn1i9VHDWqSrVCEkWuvvZZKlSqxatUql0mIkXX/riczM5O0emmkVFXRchSKWMI5yZ7363zy8/PD2rZLk11LOT4Wh9q1a9O0aVMyMk6z4u+Vxapr08bNbNmyhcqVK3PeeecFVEflypXp0qULAK1bty6WPNFAFGV8DDklt2cKRRSSkJDArbfeCsD7b3/oMbLAcqc9dmelxVYoYo0mTZpQr149jh45yqqVq4tVlzZChT7SiD7aiAByzp7lyOEjmM1mqqqH82JjNBnx06TBjR9m2bM1XnXVVcVyYh82bBhgt/uPZQQghMmthK19If71c781wWhPTbIVijBz9913YzabmTltFnv3uGcVW75sOaDssRWKWEQIUWAy8nP4TEYO7D8IQPUa1TCbA5sQKgpwTrJ/19hlV4pP8Vh88dNse6QZZ+SZQLn99tvZuHEjN910U7HqiTyBmYsEkYZCiCFGR0cPjo9pwWhMTbIVijBTu3Zt+vfvT35+Ph9/MNFtuzN8X6fO54RbNIVCEQQK7LLnhq1NFb4vuFxwwQVYrVZWrVjN8WPHA6pjz+69rF65hjJlyrjsvANFCEGTJk0cqxqxjcnDXxg5CLyA3tHRUzkQjMbUJFuhiAD3338/AJ98rA/nd/TIUbZt3UZiYiItWrWIkHQKhaI4XHjhhcTHx7N65WoOHSxK2N7A2bdXZXsMJsnJyZx73rnYbDb+XLAwoDp+mv0TYHdcTExMDKZ4MYuIsCZbSpnmw+FRW5oGoz01yVYoIkDnzp1p37E9x48dZ8rXBdnhnE42bTu0xWq1Rko8hUJRDJKSkuh2YTfA7gAZDlSM7ODT4+ILAfh93oKAjv/RYSpyzTXXBEmiEoD3tOolkpLbM4UiihFCcNdIe26l99/+ECklAsHfDnvsczp1dEvNq1AoYodLetvNAwozGZGav8AR7N9nX92uVasm/qZhV/imx8X2FOvz5/3mM8W6lFJXAI4dPcbihUuwWCwu8yGF/cxUk2yFQhFy+va/mho1a7Bxw0bGPPw47739Ab/8+Avg2R67fFwlysdVomJ8iltRKBTRxdWX9wVg6aKlYWnPZZNdS2myg0W3ThdSpUoVdu/czX/LNxTp2Dk//Up+fj7dLuhKxYoVgypXURwvow8RaZvssFJye6ZQRDlxcXHcesfNALw3/n1GPziG//5dB6gkNApFrNOwYUOSkpLYv38/x4+fCHl7u3buAqB2ndohb6u0YDKZuOMO+4rjPffcQ15ent/HOk1FrrhaabGNlCZNduBBGxUKRbEZ+cA9JJUpw+GDhzh95gyZZzJp16Et1WuojG0KRSxjMplo3rw5K1asYOP6jXQ5v3NI20vfsROAtHp1Q9pOaWPMmDF88cUX/PPPP7z33nvce++9hR6TmZnJb3Ptof8uv/KyUIsYUzgdH0sLapKtUESQ+Ph4l222luLZZyoUimigZcuWrFixgvXrNoR0kn369GmOHD5CfHw81apXC1k7pZGkpCTGjx/P1VdfzRNPPMHAgQOpUcO3Sc7fS5eTlZVFm3atqVFTKUx0CMKafCbSlJ6eKhQKhUIRRlq0sIfh3LCuaPa8RWVnut1UpG5aHUwm9bMebK666iquvPJKMjIyeOihhwrdf9GfiwFcEWYUepRNtkKhCDllrRV8vlcoFLFNy5YtgdBPsnds3w5AWr00wO4krQgub731FgkJCXz99df8/vvvPvdd/OcSALp1Px+hIr3oiHSc7HBTcnumUMQAZa0VXEX7XqFQxD7OSfb6dRt8hoArLk577MYNm6gJdoioV68ejz32GAAvvvii1/3OnDnDyuWrMJlMdA6xHX6soibZCoVCoVAoikWtWrUoV64cx44e4/ChwyFrZ6djkl2vXr2QtaGwRxiJj49n7ty57Nixw+M+fy9dTm5uLm3ataZ8+XJhljD6UZpshUKhUCgUxUYIodNmhwqnTXb9+vVD1oYCKlasyIABAwD49NNPPe7jNBXp2v38sMkVawhMbqWkUnJ7plAoFApFhHFOsjeu3xiyNpzmImqSHXpuueUWwD7Jzs/Pd9vudHpUk2zvmIRwKyWVsEyyhRCVhRA/CSE2CSHWCiGmCyFSHNvShRAbhRBrHOVSzXGNhRBLhRCbHf8bhUNehUKhUCiCQUGEkY0ID3/FxWazscuhyVbmIqHnggsuoEGDBuzZs4dff/0VsIekE8JEZmYWq1asxmQy0aVrlwhLGr2E4jqIVsKlyZbAy1LKJlLK1sA2YJxm+wApZVtHmaP5/APgXSllY+Bd4MMwyatQRJRy1opuRaFQxB4F5iLrAzreef1XiKusK04OHjhEdnY2VapUoWzZskGRWeEdIQQ332zP1Pvxxx/rtv215G/y8vJo274N5cqpsfCEEML1UKItJZWw9ExKeUxKuUDz0TLAZ1oqIURVoD3wjeOjb4D2Tg24QqFQKBTRjtZcJBQRRnamK1ORcDNixAjMZjOzZ8/m4MGDrs+VqYh/KE12CBH2R5Y7gdmaj79ymJG8J4So4PisNrBXSpkP4Pi/z/G5sc7bhBArhBArDh8OnQe3QqFQKBRFoWrVqlSuUplTpzLYu2dv0Ovfqeyxw07NmjW54ooryMvL44svvnB9ribZ/qEm2aHlbeA08I7jfTcpZRvgHEBoPvcbKeUEKWVHKWXHlBSl6FYoFApF9NC8RTMgNBFGlNNjZHCajIwfP565v8wjIyOD1Q57bBUf2zd2kxF9KamEdZIthHgVaAQMklLaAKSUux3/zwLvAc5HwN1ALSGE2XGsGajp+FyhUCgUipigmWOSXZD5UbiKlNJVioJJmDEJsyt8n3J6DC+XX345zZo1Y/fu3Vx79WDOaXmussf2C6FC+IUCIcTzQAegr2NCjRCijBCivOO1AAYDawCklIccr4c4qhgCrJZSKnsQhUKhUMQM7Vq1B2Drxu0Q5KVxFSM7MlgsFpYsWcJLL71EamoqBw8cAuDiHr0oH1dZVxQFCEpXCD9LOBoRQrQAHgM2A0scSwM7gAeBaQ4ttRlYD9ylOfQOYJIQ4n/AcWB4OORVKBQKhSJYOJ0f//vvv6DXvXNHOqAm2ZGgQoUKPPLIIzzwwANMnz6dRYsW8eCDD0ZarKinJNtgGwnLJFtKuQ7vj+/tfBy3ETg3JEIpFAqFQhEGnLGy169fj81mw2QKziJydnY2+/bux2KxkJqaGpQ6FUXHarUyaNAgBg0aFGlRYgBRokP2GSk9PVUoFAqFIgJUrFiRmjVrkpWV5XJUDAbOJDSptVOxWMKiM1MoioXdE0FFF1EoFAqFQhEk2rRpA8DihYuCVqfTHjutns+0EwpFVKEm2QqFQqFQKIJG//79AZj69bSg1GcSJlcimnr104JSp0IRegLP+CiE6C2E2CSE2CqEGB1iQYOCmmQrFAqFQhFiBgwYQEJCAgsWLGDXzl1BqdNpepJWLy0o9SkU4SAQTbYjQMa7wGVAc2CIEKJ5iEUtNmqSrVAoFApFiClfvjx9+/YFYMrX3walzvTt6QDUTVPmIooYQQScjKYTsFVKuV1KmQNMBq4OqaxBQE2yFQqFQqEIA8OH26PQTv5qSpGTz3jCaS6SpsxFFDHC6pWr5yRZklcaC5AghFihKbcZDq2FPhnhHsdnUY1yR1YoFAqFIgz06tWLqtWqsmXzFlauWEXHczoEXJc2UokyF1HEClLK3gEe6kndXfwn1RCjNNkKhUKhUIQBi8XCsKHDAJj85WR7OLMiLJlPnz6dhg0bkpiYSLXyNcnIyKBcubJUrFghtIIrFJFnD1Bb8z4V2BchWfxGTbIVCoVCoQgTA4ZcA8DUKd+Rk5Pj93Fz585l8ODBbNu2jezsbOLj46lRowYPPDCKcnEVQyWuQhEtLAcaCSHqCSHigMHA7AjLVChqkq1QKBQKRZho1aYVLVu14Pix48z5+Ve/jlmxYgX9+vUjNzeXUaNGcfr0abKysti3bx9PPfVUaAVWKKIAKWUecA8wB9gAfOvIJh7VKJtshUKhUCjCyJBhg3n80bF88dmXXHH15bptGRkZvD/+A8okl6Fe/XpUr1STa6+9ltOnTzN06FBeeeWVoKVlVyhiCSnlT8BPkZajKIhgeDhHEx07dpQrVqyItBgKhUKhULhxOvckhw4eolmDluTm5rJ6w0pdMpnHHn6cd9963+24Sy+9lNmzZxMXFxdGaRWxjhBipZSyY6TlKK2ox2GFQqFQKMJEsrU8VatVpf+1/ZBS8vEHH7u2HTt6jM8+/hyAYSOuo+clPWjYsCGXXXYZ3333nZpgKxQxhtJkKxQKhUIRZlauXEnHjh0pX748e/bsITk5maeffpqnnnqKSy+9lF9++SXSIipKAEqTHVmUJluhUCgUijDToUMHzj//fE6ePMkXX3zB6dOnGT9+PABjxoyJsHQKhSIYKMdHhUKhUCgiwL333svixYsZP348WVlZHDt2jC5dutC9e/dIi6ZQKIKAMhdRKBQKhSIC5ObmUq9ePfbu3UtiYiJZWVnMmjWLq666KtKiKUoIylwksihzEYVCoVAoIoDVauXuu+8G7GnSW7RoQZ8+fSIslUKhCBZhm2QLIWYKIf4RQqwWQiwUQrR1fN5YCLFUCLHZ8b+R5hiv2xQKhUKhiHVuvfVWEhISABg9erSKga1QlCDCaZM9Qkp5EkAIcTXwCdAe+AB4V0r5pRBiGPAh0MNxjK9tCoVCoVDENFWqVOHDDz9k7dq1DB48ONLiKBSKIBIRm2whxHDgXuByYDNQWUqZL4QwA0eBRoDwtk1Kedhb3comW6FQKBQKhULZZEeasEYXEUJ8DFyCfQLdG6gN7JVS5gM4JtP7HJ8LH9sOG+q9DbjN8fa0EGJTOPrjgSrAkQi1HWlKa99La79B9V31vXRRWvsNqu+x3Pe6kRagNBPWSbaU8hYAIcT1wCvA2CDVOwGYEIy6ioMQYkVpfWIsrX0vrf0G1XfV99JFae03qL6X1r4rik9EPCyklF8AFwF7gFoOUxAc/2sCux3F2zaFQqFQKBQKhSJqCcskWwiRLISorXl/JXAMOASsAYY4Ng0BVkspD0spvW4Lh8wKhUKhUCgUCkWghMtcpAwwVQhRBsjHPsG+UkophRB3AJOEEP8DjgPDNcf52haNRNxkJYKU1r6X1n6D6ntppbT2vbT2G1TfFYqAKHEZHxUKhUKhUCgUikijot4rFAqFQqFQKBRBRk2yFQqFQqFQKBSKIFOqJ9lCiNpCiN+FEBuEEOuEEPc5Pq8khJgrhNji+F/R8Xllx/6nhRDveKlzthDiPx9tdhBC/CuE2CqEGC+EEI7P3xBCrHGUzUKIEyHoslaOoPVdCLFACLFJI3/VIva9uxBilRAiTwgxoBT1O5bHPE4IMcEh90YhRP8i9j1sYx6FfY/JcRdClNXIvUYIcUQI8WYR+x5z13qQ+h2TY+7YNsTRp7VCiF+EEFWK2PeYG/Mg9TusY66IUqSUpbYANYD2jtdlsWeYbA68DIx2fD4aeMnxugzQFbtD5jse6usHfA3856PNv4Eu2JPt/Axc5mGfkcAnsdJ3YAHQ0Y82PfYdSANaA58DA0pLv2N8zJ8GnnO8NgFVonXMo63vsTzuhnpXAt2jddyjqd+xOubYgyMccp7jjuOfKuljHox+h3vMVYnOUqo12VLK/VLKVY7XGcAGoBZwNTDJsdskoK9jnzNSykVAtrEuIUQyMAp4zlt7QogaQDkp5VIppcR+0+nrYdchwDeB9co/gtl3f/DVdyllupRyLWALuEN+Ek39NhBrY34T8KJjP5uU0i0jWrSMuaO9qOm7gVgbdwCEEI2AqsBCD9uiYtyjqd8GYmnMhaOUcWhoywH7jO2VwDEvdr8NhHzMFdFJqZ5kaxFCpAHtgL+AalLK/WC/aLHfVAvjWeA1INPHPrWwJ+BxssfxmVaOukA94Dd/ZS8uQeg7wKeOZbGxzuUyA4X2PdxES79jbcyFEBUcL591LANPFUJU87Br1I05RE/fY23cDQwBpjgmFkaibtyjpd+xNuZSylzgTuBf7JPM5sBED7uWqDEPZr8jMeaK6EFNsnFpoacB90spTwVwfFugoZRyRmG7evjMeLMeDHwnpcwvqhyBUNy+OxgqpWwFdHOU6z015eGziMWPjLJ+x9qYW4BUYLGUsj2wFHjVU1MePotozNAo63usjbuWwXjXzEXVuEdZv2NqzIUQVuyTzXbYMy6vBcZ42tXDZzE75kHud1jHXBFdlPpJtuNimgZ8JaWc7vj4oGMZyLkcdKiQaroAHYQQ6cAioLGwO8WZNY4Pz2B/yk3VHJeK+xKUr5t4UAlS35FS7nX8z8Buk94pwL6HhSjsd6yN+VHsKzbOh8qpQPtoHnOIyr7H2rg762oDWKSUKx3vo3bco7DfsTbmbQGklNsc2vtvgfNKwZi3haD1O2xjrog+SvUk27G8PxHYIKV8XbNpNjDC8XoEMMtXPVLK96WUNaWUadidKDZLKS+UUuZLKds6yv8cy1QZQojOjraHa+sWQjQBKmLXjoWUYPVdCGERDq9rx82tD3bHzyL1PVxEW79jccwdPzrfAxc6PuoJrI/WMYfo63ssjrsGnX1ptI57tPU7Rsd8L9BcCJHieN/LUWdJH/Og9DucY66IUmQUeF9GqmCfEEvsS0FrHOVyoDIwH9ji+F9Jc0w69rTwp7E/xTY31JmG7+giHYH/gG3AO2DPuunY9hQwLpb6jt07e6WjnnXAW4C5KH0HznHUdwa7pnBdaeh3rI654/O6wJ+OuuYDdaJ1zKOt77E87o5t24GmhbQZ8XGPpn7H8phjj7yxwVHX90Dl0jDmxe13uMdclegsKq26QqFQKBQKhUIRZEq1uYhCoVAoFAqFQhEK1CRboVAoFAqFQqEIMmqSrVAoFAqFQqFQBBk1yVYoFAqFQqFQKIKMmmQrFAqFQqFQKBRBRk2yFQqFQqFQKBSKIKMm2QqFQqFQKBQKRZD5P7vMNxuoeuyWAAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 792x576 with 6 Axes>"
       ]
@@ -1168,8 +1138,6 @@
     }
    ],
    "source": [
-    "import matplotlib as mpl\n",
-    "\n",
     "fig, (ax1,ax2,ax3) = plt.subplots(nrows=3, ncols=1, figsize=(11,8))\n",
     "fig.set_tight_layout(True)\n",
     "im1 = ax1.pcolormesh(N2_intp.time, -pnew, N2_intp.data.T*1e5, \n",
@@ -1204,23 +1172,7 @@
     "\n",
     "cb1.set_label(r\"x10$^{-5}$ [s$^{-2}$]\", fontsize=13)\n",
     "cb2.set_label(r\"[mg Chl m$^{-3}$]\", fontsize=13)\n",
-    "cb3.set_label(r\"[mg C m$^{-3}$]\", fontsize=13)\n",
-    "\n",
-    "# plt.savefig(op.join(ddir,'../Figures/SOCCOM_4185_N2-chl-C_fulltimeseries.pdf'))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "fig, (ax1,ax2) = plt.subplots(nrows=2, ncols=1)\n",
-    "for i in range(len(chl_intp.time)):\n",
-    "    ax1.plot(chl_intp[i],-pnew)\n",
-    "ax2.hist(chl_intp.data.ravel(), density=True)\n",
-    "ax1.set_xscale('log')\n",
-    "ax2.set_xscale('log')"
+    "cb3.set_label(r\"[mg C m$^{-3}$]\", fontsize=13)"
    ]
   },
   {
@@ -1535,8 +1487,7 @@
     "ax6.set_ylabel(r\"p$_{MLD}$ [dbar]\", fontsize=13)\n",
     "ax1.legend(loc='upper right', fontsize=12)\n",
     "ax3.legend(loc='upper right', fontsize=12)\n",
-    "ax5.legend(loc='lower left', fontsize=12)\n",
-    "# plt.savefig(op.join(ddir,'../Figures/SOCCOM-4185_Cphyto-r_timeseries.pdf'))"
+    "ax5.legend(loc='lower left', fontsize=12)"
    ]
   },
   {
@@ -1597,8 +1548,7 @@
     "fig.subplots_adjust(right=0.83, bottom=.2, hspace=.15)\n",
     "cbar_ax2 = fig.add_axes([0.86, 0.6, 0.02, 0.24])\n",
     "cb2 = fig.colorbar(im2, cax=cbar_ax2)\n",
-    "cb2.set_label(r\"[mg C m$^{-3}$]\", fontsize=12)\n",
-    "# plt.savefig(op.join(ddir,'../Figures/SOCCOM_4185_C-r.pdf'))"
+    "cb2.set_label(r\"[mg C m$^{-3}$]\", fontsize=12)"
    ]
   },
   {