MLI-FIOCOM32.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "68364ec9-f3f7-48fb-abe7-3a0dbc3953b6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: gcm-filters in /srv/conda/envs/notebook/lib/python3.8/site-packages (0.2.3)\n",
      "Requirement already satisfied: dask in /srv/conda/envs/notebook/lib/python3.8/site-packages (from gcm-filters) (2021.7.0)\n",
      "Requirement already satisfied: scipy in /srv/conda/envs/notebook/lib/python3.8/site-packages (from gcm-filters) (1.7.0)\n",
      "Requirement already satisfied: numpy in /srv/conda/envs/notebook/lib/python3.8/site-packages (from gcm-filters) (1.21.1)\n",
      "Requirement already satisfied: xarray in /srv/conda/envs/notebook/lib/python3.8/site-packages (from gcm-filters) (0.18.2)\n",
      "Requirement already satisfied: fsspec>=0.6.0 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from dask->gcm-filters) (2021.7.0)\n",
      "Requirement already satisfied: cloudpickle>=1.1.1 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from dask->gcm-filters) (1.6.0)\n",
      "Requirement already satisfied: partd>=0.3.10 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from dask->gcm-filters) (1.2.0)\n",
      "Requirement already satisfied: pyyaml in /srv/conda/envs/notebook/lib/python3.8/site-packages (from dask->gcm-filters) (5.4.1)\n",
      "Requirement already satisfied: toolz>=0.8.2 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from dask->gcm-filters) (0.11.1)\n",
      "Requirement already satisfied: locket in /srv/conda/envs/notebook/lib/python3.8/site-packages (from partd>=0.3.10->dask->gcm-filters) (0.2.0)\n",
      "Requirement already satisfied: pandas>=1.0 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from xarray->gcm-filters) (1.3.0)\n",
      "Requirement already satisfied: setuptools>=40.4 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from xarray->gcm-filters) (49.6.0.post20210108)\n",
      "Requirement already satisfied: python-dateutil>=2.7.3 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from pandas>=1.0->xarray->gcm-filters) (2.7.5)\n",
      "Requirement already satisfied: pytz>=2017.3 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from pandas>=1.0->xarray->gcm-filters) (2021.1)\n",
      "Requirement already satisfied: six>=1.5 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas>=1.0->xarray->gcm-filters) (1.16.0)\n",
      "Requirement already satisfied: xhistogram==0.3.0 in /srv/conda/envs/notebook/lib/python3.8/site-packages (0.3.0)\n",
      "Requirement already satisfied: numpy>=1.17 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from xhistogram==0.3.0) (1.21.1)\n",
      "Requirement already satisfied: dask in /srv/conda/envs/notebook/lib/python3.8/site-packages (from xhistogram==0.3.0) (2021.7.0)\n",
      "Requirement already satisfied: xarray>=0.12.0 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from xhistogram==0.3.0) (0.18.2)\n",
      "Requirement already satisfied: setuptools>=40.4 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from xarray>=0.12.0->xhistogram==0.3.0) (49.6.0.post20210108)\n",
      "Requirement already satisfied: pandas>=1.0 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from xarray>=0.12.0->xhistogram==0.3.0) (1.3.0)\n",
      "Requirement already satisfied: python-dateutil>=2.7.3 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from pandas>=1.0->xarray>=0.12.0->xhistogram==0.3.0) (2.7.5)\n",
      "Requirement already satisfied: pytz>=2017.3 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from pandas>=1.0->xarray>=0.12.0->xhistogram==0.3.0) (2021.1)\n",
      "Requirement already satisfied: six>=1.5 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas>=1.0->xarray>=0.12.0->xhistogram==0.3.0) (1.16.0)\n",
      "Requirement already satisfied: fsspec>=0.6.0 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from dask->xhistogram==0.3.0) (2021.7.0)\n",
      "Requirement already satisfied: cloudpickle>=1.1.1 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from dask->xhistogram==0.3.0) (1.6.0)\n",
      "Requirement already satisfied: pyyaml in /srv/conda/envs/notebook/lib/python3.8/site-packages (from dask->xhistogram==0.3.0) (5.4.1)\n",
      "Requirement already satisfied: partd>=0.3.10 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from dask->xhistogram==0.3.0) (1.2.0)\n",
      "Requirement already satisfied: toolz>=0.8.2 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from dask->xhistogram==0.3.0) (0.11.1)\n",
      "Requirement already satisfied: locket in /srv/conda/envs/notebook/lib/python3.8/site-packages (from partd>=0.3.10->dask->xhistogram==0.3.0) (0.2.0)\n"
     ]
    }
   ],
   "source": [
    "!pip install gcm-filters\n",
    "!pip install xhistogram==0.3.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9f60d4c7-59a0-40df-a95c-967a5d9458b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <div>\n",
       "                <div style=\"\n",
       "                    width: 24px;\n",
       "                    height: 24px;\n",
       "                    background-color: #e1e1e1;\n",
       "                    border: 3px solid #9D9D9D;\n",
       "                    border-radius: 5px;\n",
       "                    position: absolute;\"> </div>\n",
       "                <div style=\"margin-left: 48px;\">\n",
       "                    <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
       "                    <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-19b5dc75-b673-11ec-a1d6-aa86322bcdec</p>\n",
       "                    <table style=\"width: 100%; text-align: left;\">\n",
       "                    \n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\"><strong>Connection method:</strong> Direct</td>\n",
       "                    <td style=\"text-align: left;\"></td>\n",
       "                </tr>\n",
       "                \n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Dashboard: </strong>\n",
       "                        <a href=\"http://127.0.0.1:8787/status\">http://127.0.0.1:8787/status</a>\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\"></td>\n",
       "                </tr>\n",
       "                \n",
       "                    </table>\n",
       "                    \n",
       "                <details>\n",
       "                <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Scheduler Info</h3></summary>\n",
       "                \n",
       "        <div style=\"\">\n",
       "            \n",
       "            <div>\n",
       "                <div style=\"\n",
       "                    width: 24px;\n",
       "                    height: 24px;\n",
       "                    background-color: #FFF7E5;\n",
       "                    border: 3px solid #FF6132;\n",
       "                    border-radius: 5px;\n",
       "                    position: absolute;\"> </div>\n",
       "                <div style=\"margin-left: 48px;\">\n",
       "                    <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
       "                    <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-33b6c4b9-b7ef-4d92-a260-0b44273c066b</p>\n",
       "                    <table style=\"width: 100%; text-align: left;\">\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Comm:</strong> tcp://127.0.0.1:33833</td>\n",
       "                            <td style=\"text-align: left;\"><strong>Workers:</strong> 8</td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\">http://127.0.0.1:8787/status</a>\n",
       "                            </td>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Total threads:</strong>\n",
       "                                64\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Started:</strong>\n",
       "                                23 hours ago\n",
       "                            </td>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Total memory:</strong>\n",
       "                                235.96 GiB\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                    </table>\n",
       "                </div>\n",
       "            </div>\n",
       "        \n",
       "            <details style=\"margin-left: 48px;\">\n",
       "            <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Workers</h3></summary>\n",
       "            \n",
       "            <div style=\"margin-bottom: 20px;\">\n",
       "                <div style=\"width: 24px;\n",
       "                            height: 24px;\n",
       "                            background-color: #DBF5FF;\n",
       "                            border: 3px solid #4CC9FF;\n",
       "                            border-radius: 5px;\n",
       "                            position: absolute;\"> </div>\n",
       "                <div style=\"margin-left: 48px;\">\n",
       "                <details>\n",
       "                    <summary>\n",
       "                        <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
       "                    </summary>\n",
       "                    <table style=\"width: 100%; text-align: left;\">\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Comm: </strong> tcp://127.0.0.1:33679</td>\n",
       "                            <td style=\"text-align: left;\"><strong>Total threads: </strong> 8</td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Dashboard: </strong>\n",
       "                                <a href=\"http://127.0.0.1:39865/status\">http://127.0.0.1:39865/status</a>\n",
       "                            </td>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Memory: </strong>\n",
       "                                29.50 GiB\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Nanny: </strong> tcp://127.0.0.1:33595</td>\n",
       "                            <td style=\"text-align: left;\"></td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                                <strong>Local directory: </strong>\n",
       "                                /home/jovyan/dask-worker-space/worker-zdobc1tx\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        \n",
       "                        \n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks executing: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in memory: </strong> 0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks ready: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in flight: </strong>0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\"><strong>CPU usage:</strong> 2.0%</td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Last seen: </strong>\n",
       "                        Just now\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Memory usage: </strong>\n",
       "                        762.25 MiB\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Spilled bytes: </strong>\n",
       "                        0 B\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Read bytes: </strong>\n",
       "                        29.95 kiB\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Write bytes: </strong>\n",
       "                        35.83 kiB\n",
       "                    </td>\n",
       "                </tr>\n",
       "                \n",
       "                    </table>\n",
       "                </details>\n",
       "                </div>\n",
       "            </div>\n",
       "            \n",
       "            <div style=\"margin-bottom: 20px;\">\n",
       "                <div style=\"width: 24px;\n",
       "                            height: 24px;\n",
       "                            background-color: #DBF5FF;\n",
       "                            border: 3px solid #4CC9FF;\n",
       "                            border-radius: 5px;\n",
       "                            position: absolute;\"> </div>\n",
       "                <div style=\"margin-left: 48px;\">\n",
       "                <details>\n",
       "                    <summary>\n",
       "                        <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
       "                    </summary>\n",
       "                    <table style=\"width: 100%; text-align: left;\">\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Comm: </strong> tcp://127.0.0.1:38275</td>\n",
       "                            <td style=\"text-align: left;\"><strong>Total threads: </strong> 8</td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Dashboard: </strong>\n",
       "                                <a href=\"http://127.0.0.1:33097/status\">http://127.0.0.1:33097/status</a>\n",
       "                            </td>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Memory: </strong>\n",
       "                                29.50 GiB\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Nanny: </strong> tcp://127.0.0.1:44469</td>\n",
       "                            <td style=\"text-align: left;\"></td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                                <strong>Local directory: </strong>\n",
       "                                /home/jovyan/dask-worker-space/worker-zkxx7j5c\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        \n",
       "                        \n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks executing: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in memory: </strong> 0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks ready: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in flight: </strong>0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\"><strong>CPU usage:</strong> 2.0%</td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Last seen: </strong>\n",
       "                        Just now\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Memory usage: </strong>\n",
       "                        1.54 GiB\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Spilled bytes: </strong>\n",
       "                        0 B\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Read bytes: </strong>\n",
       "                        32.89 kiB\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Write bytes: </strong>\n",
       "                        38.19 kiB\n",
       "                    </td>\n",
       "                </tr>\n",
       "                \n",
       "                    </table>\n",
       "                </details>\n",
       "                </div>\n",
       "            </div>\n",
       "            \n",
       "            <div style=\"margin-bottom: 20px;\">\n",
       "                <div style=\"width: 24px;\n",
       "                            height: 24px;\n",
       "                            background-color: #DBF5FF;\n",
       "                            border: 3px solid #4CC9FF;\n",
       "                            border-radius: 5px;\n",
       "                            position: absolute;\"> </div>\n",
       "                <div style=\"margin-left: 48px;\">\n",
       "                <details>\n",
       "                    <summary>\n",
       "                        <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
       "                    </summary>\n",
       "                    <table style=\"width: 100%; text-align: left;\">\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Comm: </strong> tcp://127.0.0.1:35385</td>\n",
       "                            <td style=\"text-align: left;\"><strong>Total threads: </strong> 8</td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Dashboard: </strong>\n",
       "                                <a href=\"http://127.0.0.1:32927/status\">http://127.0.0.1:32927/status</a>\n",
       "                            </td>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Memory: </strong>\n",
       "                                29.50 GiB\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Nanny: </strong> tcp://127.0.0.1:34723</td>\n",
       "                            <td style=\"text-align: left;\"></td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                                <strong>Local directory: </strong>\n",
       "                                /home/jovyan/dask-worker-space/worker-77p83nis\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        \n",
       "                        \n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks executing: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in memory: </strong> 0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks ready: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in flight: </strong>0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\"><strong>CPU usage:</strong> 2.0%</td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Last seen: </strong>\n",
       "                        Just now\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Memory usage: </strong>\n",
       "                        898.64 MiB\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Spilled bytes: </strong>\n",
       "                        0 B\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Read bytes: </strong>\n",
       "                        30.07 kiB\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Write bytes: </strong>\n",
       "                        35.95 kiB\n",
       "                    </td>\n",
       "                </tr>\n",
       "                \n",
       "                    </table>\n",
       "                </details>\n",
       "                </div>\n",
       "            </div>\n",
       "            \n",
       "            <div style=\"margin-bottom: 20px;\">\n",
       "                <div style=\"width: 24px;\n",
       "                            height: 24px;\n",
       "                            background-color: #DBF5FF;\n",
       "                            border: 3px solid #4CC9FF;\n",
       "                            border-radius: 5px;\n",
       "                            position: absolute;\"> </div>\n",
       "                <div style=\"margin-left: 48px;\">\n",
       "                <details>\n",
       "                    <summary>\n",
       "                        <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
       "                    </summary>\n",
       "                    <table style=\"width: 100%; text-align: left;\">\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Comm: </strong> tcp://127.0.0.1:43569</td>\n",
       "                            <td style=\"text-align: left;\"><strong>Total threads: </strong> 8</td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Dashboard: </strong>\n",
       "                                <a href=\"http://127.0.0.1:37163/status\">http://127.0.0.1:37163/status</a>\n",
       "                            </td>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Memory: </strong>\n",
       "                                29.50 GiB\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Nanny: </strong> tcp://127.0.0.1:41567</td>\n",
       "                            <td style=\"text-align: left;\"></td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                                <strong>Local directory: </strong>\n",
       "                                /home/jovyan/dask-worker-space/worker-hotzxb46\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        \n",
       "                        \n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks executing: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in memory: </strong> 0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks ready: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in flight: </strong>0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\"><strong>CPU usage:</strong> 2.0%</td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Last seen: </strong>\n",
       "                        Just now\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Memory usage: </strong>\n",
       "                        0.97 GiB\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Spilled bytes: </strong>\n",
       "                        0 B\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Read bytes: </strong>\n",
       "                        21.47 kiB\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Write bytes: </strong>\n",
       "                        21.47 kiB\n",
       "                    </td>\n",
       "                </tr>\n",
       "                \n",
       "                    </table>\n",
       "                </details>\n",
       "                </div>\n",
       "            </div>\n",
       "            \n",
       "            <div style=\"margin-bottom: 20px;\">\n",
       "                <div style=\"width: 24px;\n",
       "                            height: 24px;\n",
       "                            background-color: #DBF5FF;\n",
       "                            border: 3px solid #4CC9FF;\n",
       "                            border-radius: 5px;\n",
       "                            position: absolute;\"> </div>\n",
       "                <div style=\"margin-left: 48px;\">\n",
       "                <details>\n",
       "                    <summary>\n",
       "                        <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 4</h4>\n",
       "                    </summary>\n",
       "                    <table style=\"width: 100%; text-align: left;\">\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Comm: </strong> tcp://127.0.0.1:38789</td>\n",
       "                            <td style=\"text-align: left;\"><strong>Total threads: </strong> 8</td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Dashboard: </strong>\n",
       "                                <a href=\"http://127.0.0.1:33879/status\">http://127.0.0.1:33879/status</a>\n",
       "                            </td>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Memory: </strong>\n",
       "                                29.50 GiB\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Nanny: </strong> tcp://127.0.0.1:39259</td>\n",
       "                            <td style=\"text-align: left;\"></td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                                <strong>Local directory: </strong>\n",
       "                                /home/jovyan/dask-worker-space/worker-fkgbt7b5\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        \n",
       "                        \n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks executing: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in memory: </strong> 0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks ready: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in flight: </strong>0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\"><strong>CPU usage:</strong> 2.0%</td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Last seen: </strong>\n",
       "                        Just now\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Memory usage: </strong>\n",
       "                        867.76 MiB\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Spilled bytes: </strong>\n",
       "                        0 B\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Read bytes: </strong>\n",
       "                        32.43 kiB\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Write bytes: </strong>\n",
       "                        32.43 kiB\n",
       "                    </td>\n",
       "                </tr>\n",
       "                \n",
       "                    </table>\n",
       "                </details>\n",
       "                </div>\n",
       "            </div>\n",
       "            \n",
       "            <div style=\"margin-bottom: 20px;\">\n",
       "                <div style=\"width: 24px;\n",
       "                            height: 24px;\n",
       "                            background-color: #DBF5FF;\n",
       "                            border: 3px solid #4CC9FF;\n",
       "                            border-radius: 5px;\n",
       "                            position: absolute;\"> </div>\n",
       "                <div style=\"margin-left: 48px;\">\n",
       "                <details>\n",
       "                    <summary>\n",
       "                        <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 5</h4>\n",
       "                    </summary>\n",
       "                    <table style=\"width: 100%; text-align: left;\">\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Comm: </strong> tcp://127.0.0.1:40587</td>\n",
       "                            <td style=\"text-align: left;\"><strong>Total threads: </strong> 8</td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Dashboard: </strong>\n",
       "                                <a href=\"http://127.0.0.1:42353/status\">http://127.0.0.1:42353/status</a>\n",
       "                            </td>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Memory: </strong>\n",
       "                                29.50 GiB\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Nanny: </strong> tcp://127.0.0.1:39205</td>\n",
       "                            <td style=\"text-align: left;\"></td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                                <strong>Local directory: </strong>\n",
       "                                /home/jovyan/dask-worker-space/worker-e55v2bce\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        \n",
       "                        \n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks executing: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in memory: </strong> 0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks ready: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in flight: </strong>0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\"><strong>CPU usage:</strong> 2.0%</td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Last seen: </strong>\n",
       "                        Just now\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Memory usage: </strong>\n",
       "                        1.43 GiB\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Spilled bytes: </strong>\n",
       "                        0 B\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Read bytes: </strong>\n",
       "                        32.70 kiB\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Write bytes: </strong>\n",
       "                        38.03 kiB\n",
       "                    </td>\n",
       "                </tr>\n",
       "                \n",
       "                    </table>\n",
       "                </details>\n",
       "                </div>\n",
       "            </div>\n",
       "            \n",
       "            <div style=\"margin-bottom: 20px;\">\n",
       "                <div style=\"width: 24px;\n",
       "                            height: 24px;\n",
       "                            background-color: #DBF5FF;\n",
       "                            border: 3px solid #4CC9FF;\n",
       "                            border-radius: 5px;\n",
       "                            position: absolute;\"> </div>\n",
       "                <div style=\"margin-left: 48px;\">\n",
       "                <details>\n",
       "                    <summary>\n",
       "                        <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 6</h4>\n",
       "                    </summary>\n",
       "                    <table style=\"width: 100%; text-align: left;\">\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Comm: </strong> tcp://127.0.0.1:37549</td>\n",
       "                            <td style=\"text-align: left;\"><strong>Total threads: </strong> 8</td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Dashboard: </strong>\n",
       "                                <a href=\"http://127.0.0.1:35933/status\">http://127.0.0.1:35933/status</a>\n",
       "                            </td>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Memory: </strong>\n",
       "                                29.50 GiB\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Nanny: </strong> tcp://127.0.0.1:43095</td>\n",
       "                            <td style=\"text-align: left;\"></td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                                <strong>Local directory: </strong>\n",
       "                                /home/jovyan/dask-worker-space/worker-sqdbtlu4\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        \n",
       "                        \n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks executing: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in memory: </strong> 0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks ready: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in flight: </strong>0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\"><strong>CPU usage:</strong> 4.0%</td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Last seen: </strong>\n",
       "                        Just now\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Memory usage: </strong>\n",
       "                        811.76 MiB\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Spilled bytes: </strong>\n",
       "                        0 B\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Read bytes: </strong>\n",
       "                        32.64 kiB\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Write bytes: </strong>\n",
       "                        37.96 kiB\n",
       "                    </td>\n",
       "                </tr>\n",
       "                \n",
       "                    </table>\n",
       "                </details>\n",
       "                </div>\n",
       "            </div>\n",
       "            \n",
       "            <div style=\"margin-bottom: 20px;\">\n",
       "                <div style=\"width: 24px;\n",
       "                            height: 24px;\n",
       "                            background-color: #DBF5FF;\n",
       "                            border: 3px solid #4CC9FF;\n",
       "                            border-radius: 5px;\n",
       "                            position: absolute;\"> </div>\n",
       "                <div style=\"margin-left: 48px;\">\n",
       "                <details>\n",
       "                    <summary>\n",
       "                        <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 7</h4>\n",
       "                    </summary>\n",
       "                    <table style=\"width: 100%; text-align: left;\">\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Comm: </strong> tcp://127.0.0.1:42453</td>\n",
       "                            <td style=\"text-align: left;\"><strong>Total threads: </strong> 8</td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Dashboard: </strong>\n",
       "                                <a href=\"http://127.0.0.1:43807/status\">http://127.0.0.1:43807/status</a>\n",
       "                            </td>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Memory: </strong>\n",
       "                                29.50 GiB\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Nanny: </strong> tcp://127.0.0.1:39459</td>\n",
       "                            <td style=\"text-align: left;\"></td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                                <strong>Local directory: </strong>\n",
       "                                /home/jovyan/dask-worker-space/worker-pm0tqrqv\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        \n",
       "                        \n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks executing: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in memory: </strong> 0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks ready: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in flight: </strong>0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\"><strong>CPU usage:</strong> 2.0%</td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Last seen: </strong>\n",
       "                        Just now\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Memory usage: </strong>\n",
       "                        773.44 MiB\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Spilled bytes: </strong>\n",
       "                        0 B\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Read bytes: </strong>\n",
       "                        32.87 kiB\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Write bytes: </strong>\n",
       "                        38.18 kiB\n",
       "                    </td>\n",
       "                </tr>\n",
       "                \n",
       "                    </table>\n",
       "                </details>\n",
       "                </div>\n",
       "            </div>\n",
       "            \n",
       "            </details>\n",
       "        </div>\n",
       "        \n",
       "                </details>\n",
       "                \n",
       "                </div>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "<Client: 'tcp://127.0.0.1:33833' processes=8 threads=64, memory=235.96 GiB>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from dask.distributed import Client\n",
    "\n",
    "client = Client(\"tcp://127.0.0.1:33833\")\n",
    "client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4e14f9c6-90ec-41eb-b1d1-d922b9c4f146",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <div>\n",
       "                <div style=\"\n",
       "                    width: 24px;\n",
       "                    height: 24px;\n",
       "                    background-color: #e1e1e1;\n",
       "                    border: 3px solid #9D9D9D;\n",
       "                    border-radius: 5px;\n",
       "                    position: absolute;\"> </div>\n",
       "                <div style=\"margin-left: 48px;\">\n",
       "                    <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
       "                    <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-e994471e-31a7-11ec-859a-1ae2335aa0ca</p>\n",
       "                    <table style=\"width: 100%; text-align: left;\">\n",
       "                    \n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\"><strong>Connection method:</strong> Direct</td>\n",
       "                    <td style=\"text-align: left;\"></td>\n",
       "                </tr>\n",
       "                \n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Dashboard: </strong>\n",
       "                        <a href=\"http://127.0.0.1:8787/status\">http://127.0.0.1:8787/status</a>\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\"></td>\n",
       "                </tr>\n",
       "                \n",
       "                    </table>\n",
       "                    \n",
       "                <details>\n",
       "                <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Scheduler Info</h3></summary>\n",
       "                \n",
       "        <div style=\"\">\n",
       "            \n",
       "            <div>\n",
       "                <div style=\"\n",
       "                    width: 24px;\n",
       "                    height: 24px;\n",
       "                    background-color: #FFF7E5;\n",
       "                    border: 3px solid #FF6132;\n",
       "                    border-radius: 5px;\n",
       "                    position: absolute;\"> </div>\n",
       "                <div style=\"margin-left: 48px;\">\n",
       "                    <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
       "                    <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-a5cd4db0-912d-4d98-9347-1efe75367d30</p>\n",
       "                    <table style=\"width: 100%; text-align: left;\">\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Comm:</strong> tcp://127.0.0.1:35245</td>\n",
       "                            <td style=\"text-align: left;\"><strong>Workers:</strong> 8</td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\">http://127.0.0.1:8787/status</a>\n",
       "                            </td>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Total threads:</strong>\n",
       "                                64\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Started:</strong>\n",
       "                                49 minutes ago\n",
       "                            </td>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Total memory:</strong>\n",
       "                                235.96 GiB\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                    </table>\n",
       "                </div>\n",
       "            </div>\n",
       "        \n",
       "            <details style=\"margin-left: 48px;\">\n",
       "            <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Workers</h3></summary>\n",
       "            \n",
       "            <div style=\"margin-bottom: 20px;\">\n",
       "                <div style=\"width: 24px;\n",
       "                            height: 24px;\n",
       "                            background-color: #DBF5FF;\n",
       "                            border: 3px solid #4CC9FF;\n",
       "                            border-radius: 5px;\n",
       "                            position: absolute;\"> </div>\n",
       "                <div style=\"margin-left: 48px;\">\n",
       "                <details>\n",
       "                    <summary>\n",
       "                        <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
       "                    </summary>\n",
       "                    <table style=\"width: 100%; text-align: left;\">\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Comm: </strong> tcp://127.0.0.1:44573</td>\n",
       "                            <td style=\"text-align: left;\"><strong>Total threads: </strong> 8</td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Dashboard: </strong>\n",
       "                                <a href=\"http://127.0.0.1:46649/status\">http://127.0.0.1:46649/status</a>\n",
       "                            </td>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Memory: </strong>\n",
       "                                29.50 GiB\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Nanny: </strong> tcp://127.0.0.1:43317</td>\n",
       "                            <td style=\"text-align: left;\"></td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                                <strong>Local directory: </strong>\n",
       "                                /home/jovyan/dask-worker-space/worker-pp001f87\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        \n",
       "                        \n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks executing: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in memory: </strong> 0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks ready: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in flight: </strong>0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\"><strong>CPU usage:</strong> 0.0%</td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Last seen: </strong>\n",
       "                        Just now\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Memory usage: </strong>\n",
       "                        132.18 MiB\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Spilled bytes: </strong>\n",
       "                        0 B\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Read bytes: </strong>\n",
       "                        0.0 B\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Write bytes: </strong>\n",
       "                        0.0 B\n",
       "                    </td>\n",
       "                </tr>\n",
       "                \n",
       "                    </table>\n",
       "                </details>\n",
       "                </div>\n",
       "            </div>\n",
       "            \n",
       "            <div style=\"margin-bottom: 20px;\">\n",
       "                <div style=\"width: 24px;\n",
       "                            height: 24px;\n",
       "                            background-color: #DBF5FF;\n",
       "                            border: 3px solid #4CC9FF;\n",
       "                            border-radius: 5px;\n",
       "                            position: absolute;\"> </div>\n",
       "                <div style=\"margin-left: 48px;\">\n",
       "                <details>\n",
       "                    <summary>\n",
       "                        <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
       "                    </summary>\n",
       "                    <table style=\"width: 100%; text-align: left;\">\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Comm: </strong> tcp://127.0.0.1:37923</td>\n",
       "                            <td style=\"text-align: left;\"><strong>Total threads: </strong> 8</td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Dashboard: </strong>\n",
       "                                <a href=\"http://127.0.0.1:38353/status\">http://127.0.0.1:38353/status</a>\n",
       "                            </td>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Memory: </strong>\n",
       "                                29.50 GiB\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Nanny: </strong> tcp://127.0.0.1:41847</td>\n",
       "                            <td style=\"text-align: left;\"></td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                                <strong>Local directory: </strong>\n",
       "                                /home/jovyan/dask-worker-space/worker-ybw0nghi\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        \n",
       "                        \n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks executing: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in memory: </strong> 0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks ready: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in flight: </strong>0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\"><strong>CPU usage:</strong> 0.0%</td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Last seen: </strong>\n",
       "                        Just now\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Memory usage: </strong>\n",
       "                        132.29 MiB\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Spilled bytes: </strong>\n",
       "                        0 B\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Read bytes: </strong>\n",
       "                        0.0 B\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Write bytes: </strong>\n",
       "                        0.0 B\n",
       "                    </td>\n",
       "                </tr>\n",
       "                \n",
       "                    </table>\n",
       "                </details>\n",
       "                </div>\n",
       "            </div>\n",
       "            \n",
       "            <div style=\"margin-bottom: 20px;\">\n",
       "                <div style=\"width: 24px;\n",
       "                            height: 24px;\n",
       "                            background-color: #DBF5FF;\n",
       "                            border: 3px solid #4CC9FF;\n",
       "                            border-radius: 5px;\n",
       "                            position: absolute;\"> </div>\n",
       "                <div style=\"margin-left: 48px;\">\n",
       "                <details>\n",
       "                    <summary>\n",
       "                        <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
       "                    </summary>\n",
       "                    <table style=\"width: 100%; text-align: left;\">\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Comm: </strong> tcp://127.0.0.1:46037</td>\n",
       "                            <td style=\"text-align: left;\"><strong>Total threads: </strong> 8</td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Dashboard: </strong>\n",
       "                                <a href=\"http://127.0.0.1:39267/status\">http://127.0.0.1:39267/status</a>\n",
       "                            </td>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Memory: </strong>\n",
       "                                29.50 GiB\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Nanny: </strong> tcp://127.0.0.1:36997</td>\n",
       "                            <td style=\"text-align: left;\"></td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                                <strong>Local directory: </strong>\n",
       "                                /home/jovyan/dask-worker-space/worker-m61cj6th\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        \n",
       "                        \n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks executing: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in memory: </strong> 0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks ready: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in flight: </strong>0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\"><strong>CPU usage:</strong> 0.0%</td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Last seen: </strong>\n",
       "                        Just now\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Memory usage: </strong>\n",
       "                        132.18 MiB\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Spilled bytes: </strong>\n",
       "                        0 B\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Read bytes: </strong>\n",
       "                        0.0 B\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Write bytes: </strong>\n",
       "                        0.0 B\n",
       "                    </td>\n",
       "                </tr>\n",
       "                \n",
       "                    </table>\n",
       "                </details>\n",
       "                </div>\n",
       "            </div>\n",
       "            \n",
       "            <div style=\"margin-bottom: 20px;\">\n",
       "                <div style=\"width: 24px;\n",
       "                            height: 24px;\n",
       "                            background-color: #DBF5FF;\n",
       "                            border: 3px solid #4CC9FF;\n",
       "                            border-radius: 5px;\n",
       "                            position: absolute;\"> </div>\n",
       "                <div style=\"margin-left: 48px;\">\n",
       "                <details>\n",
       "                    <summary>\n",
       "                        <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
       "                    </summary>\n",
       "                    <table style=\"width: 100%; text-align: left;\">\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Comm: </strong> tcp://127.0.0.1:36319</td>\n",
       "                            <td style=\"text-align: left;\"><strong>Total threads: </strong> 8</td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Dashboard: </strong>\n",
       "                                <a href=\"http://127.0.0.1:42705/status\">http://127.0.0.1:42705/status</a>\n",
       "                            </td>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Memory: </strong>\n",
       "                                29.50 GiB\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Nanny: </strong> tcp://127.0.0.1:33711</td>\n",
       "                            <td style=\"text-align: left;\"></td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                                <strong>Local directory: </strong>\n",
       "                                /home/jovyan/dask-worker-space/worker-p14ps7dq\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        \n",
       "                        \n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks executing: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in memory: </strong> 0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks ready: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in flight: </strong>0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\"><strong>CPU usage:</strong> 0.0%</td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Last seen: </strong>\n",
       "                        Just now\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Memory usage: </strong>\n",
       "                        132.21 MiB\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Spilled bytes: </strong>\n",
       "                        0 B\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Read bytes: </strong>\n",
       "                        0.0 B\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Write bytes: </strong>\n",
       "                        0.0 B\n",
       "                    </td>\n",
       "                </tr>\n",
       "                \n",
       "                    </table>\n",
       "                </details>\n",
       "                </div>\n",
       "            </div>\n",
       "            \n",
       "            <div style=\"margin-bottom: 20px;\">\n",
       "                <div style=\"width: 24px;\n",
       "                            height: 24px;\n",
       "                            background-color: #DBF5FF;\n",
       "                            border: 3px solid #4CC9FF;\n",
       "                            border-radius: 5px;\n",
       "                            position: absolute;\"> </div>\n",
       "                <div style=\"margin-left: 48px;\">\n",
       "                <details>\n",
       "                    <summary>\n",
       "                        <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 4</h4>\n",
       "                    </summary>\n",
       "                    <table style=\"width: 100%; text-align: left;\">\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Comm: </strong> tcp://127.0.0.1:32943</td>\n",
       "                            <td style=\"text-align: left;\"><strong>Total threads: </strong> 8</td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Dashboard: </strong>\n",
       "                                <a href=\"http://127.0.0.1:33353/status\">http://127.0.0.1:33353/status</a>\n",
       "                            </td>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Memory: </strong>\n",
       "                                29.50 GiB\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Nanny: </strong> tcp://127.0.0.1:39431</td>\n",
       "                            <td style=\"text-align: left;\"></td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                                <strong>Local directory: </strong>\n",
       "                                /home/jovyan/dask-worker-space/worker-c36oa520\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        \n",
       "                        \n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks executing: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in memory: </strong> 0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks ready: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in flight: </strong>0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\"><strong>CPU usage:</strong> 0.0%</td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Last seen: </strong>\n",
       "                        Just now\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Memory usage: </strong>\n",
       "                        132.32 MiB\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Spilled bytes: </strong>\n",
       "                        0 B\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Read bytes: </strong>\n",
       "                        0.0 B\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Write bytes: </strong>\n",
       "                        0.0 B\n",
       "                    </td>\n",
       "                </tr>\n",
       "                \n",
       "                    </table>\n",
       "                </details>\n",
       "                </div>\n",
       "            </div>\n",
       "            \n",
       "            <div style=\"margin-bottom: 20px;\">\n",
       "                <div style=\"width: 24px;\n",
       "                            height: 24px;\n",
       "                            background-color: #DBF5FF;\n",
       "                            border: 3px solid #4CC9FF;\n",
       "                            border-radius: 5px;\n",
       "                            position: absolute;\"> </div>\n",
       "                <div style=\"margin-left: 48px;\">\n",
       "                <details>\n",
       "                    <summary>\n",
       "                        <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 5</h4>\n",
       "                    </summary>\n",
       "                    <table style=\"width: 100%; text-align: left;\">\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Comm: </strong> tcp://127.0.0.1:32861</td>\n",
       "                            <td style=\"text-align: left;\"><strong>Total threads: </strong> 8</td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Dashboard: </strong>\n",
       "                                <a href=\"http://127.0.0.1:44731/status\">http://127.0.0.1:44731/status</a>\n",
       "                            </td>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Memory: </strong>\n",
       "                                29.50 GiB\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Nanny: </strong> tcp://127.0.0.1:44047</td>\n",
       "                            <td style=\"text-align: left;\"></td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                                <strong>Local directory: </strong>\n",
       "                                /home/jovyan/dask-worker-space/worker-m6rknqct\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        \n",
       "                        \n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks executing: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in memory: </strong> 0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks ready: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in flight: </strong>0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\"><strong>CPU usage:</strong> 0.0%</td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Last seen: </strong>\n",
       "                        Just now\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Memory usage: </strong>\n",
       "                        132.51 MiB\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Spilled bytes: </strong>\n",
       "                        0 B\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Read bytes: </strong>\n",
       "                        0.0 B\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Write bytes: </strong>\n",
       "                        0.0 B\n",
       "                    </td>\n",
       "                </tr>\n",
       "                \n",
       "                    </table>\n",
       "                </details>\n",
       "                </div>\n",
       "            </div>\n",
       "            \n",
       "            <div style=\"margin-bottom: 20px;\">\n",
       "                <div style=\"width: 24px;\n",
       "                            height: 24px;\n",
       "                            background-color: #DBF5FF;\n",
       "                            border: 3px solid #4CC9FF;\n",
       "                            border-radius: 5px;\n",
       "                            position: absolute;\"> </div>\n",
       "                <div style=\"margin-left: 48px;\">\n",
       "                <details>\n",
       "                    <summary>\n",
       "                        <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 6</h4>\n",
       "                    </summary>\n",
       "                    <table style=\"width: 100%; text-align: left;\">\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Comm: </strong> tcp://127.0.0.1:36011</td>\n",
       "                            <td style=\"text-align: left;\"><strong>Total threads: </strong> 8</td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Dashboard: </strong>\n",
       "                                <a href=\"http://127.0.0.1:33697/status\">http://127.0.0.1:33697/status</a>\n",
       "                            </td>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Memory: </strong>\n",
       "                                29.50 GiB\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Nanny: </strong> tcp://127.0.0.1:38529</td>\n",
       "                            <td style=\"text-align: left;\"></td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                                <strong>Local directory: </strong>\n",
       "                                /home/jovyan/dask-worker-space/worker-pgoa6ob4\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        \n",
       "                        \n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks executing: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in memory: </strong> 0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks ready: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in flight: </strong>0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\"><strong>CPU usage:</strong> 0.0%</td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Last seen: </strong>\n",
       "                        Just now\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Memory usage: </strong>\n",
       "                        132.16 MiB\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Spilled bytes: </strong>\n",
       "                        0 B\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Read bytes: </strong>\n",
       "                        0.0 B\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Write bytes: </strong>\n",
       "                        0.0 B\n",
       "                    </td>\n",
       "                </tr>\n",
       "                \n",
       "                    </table>\n",
       "                </details>\n",
       "                </div>\n",
       "            </div>\n",
       "            \n",
       "            <div style=\"margin-bottom: 20px;\">\n",
       "                <div style=\"width: 24px;\n",
       "                            height: 24px;\n",
       "                            background-color: #DBF5FF;\n",
       "                            border: 3px solid #4CC9FF;\n",
       "                            border-radius: 5px;\n",
       "                            position: absolute;\"> </div>\n",
       "                <div style=\"margin-left: 48px;\">\n",
       "                <details>\n",
       "                    <summary>\n",
       "                        <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 7</h4>\n",
       "                    </summary>\n",
       "                    <table style=\"width: 100%; text-align: left;\">\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Comm: </strong> tcp://127.0.0.1:44363</td>\n",
       "                            <td style=\"text-align: left;\"><strong>Total threads: </strong> 8</td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Dashboard: </strong>\n",
       "                                <a href=\"http://127.0.0.1:36675/status\">http://127.0.0.1:36675/status</a>\n",
       "                            </td>\n",
       "                            <td style=\"text-align: left;\">\n",
       "                                <strong>Memory: </strong>\n",
       "                                29.50 GiB\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td style=\"text-align: left;\"><strong>Nanny: </strong> tcp://127.0.0.1:35803</td>\n",
       "                            <td style=\"text-align: left;\"></td>\n",
       "                        </tr>\n",
       "                        <tr>\n",
       "                            <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                                <strong>Local directory: </strong>\n",
       "                                /home/jovyan/dask-worker-space/worker-qh5ljfc0\n",
       "                            </td>\n",
       "                        </tr>\n",
       "                        \n",
       "                        \n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks executing: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in memory: </strong> 0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks ready: </strong> 0\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Tasks in flight: </strong>0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\"><strong>CPU usage:</strong> 0.0%</td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Last seen: </strong>\n",
       "                        Just now\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Memory usage: </strong>\n",
       "                        132.59 MiB\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Spilled bytes: </strong>\n",
       "                        0 B\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Read bytes: </strong>\n",
       "                        0.0 B\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Write bytes: </strong>\n",
       "                        0.0 B\n",
       "                    </td>\n",
       "                </tr>\n",
       "                \n",
       "                    </table>\n",
       "                </details>\n",
       "                </div>\n",
       "            </div>\n",
       "            \n",
       "            </details>\n",
       "        </div>\n",
       "        \n",
       "                </details>\n",
       "                \n",
       "                </div>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "<Client: 'tcp://127.0.0.1:35245' processes=0 threads=0, memory=0 B>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "client.restart()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4cf32d3e-7fc4-478d-a0a3-b196b205643d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import xarray as xr\n",
    "import pandas as pd\n",
    "from scipy.ndimage import rotate\n",
    "from xgcm.grid import Grid\n",
    "from xhistogram.xarray import histogram as xhist\n",
    "import gcm_filters\n",
    "import xrft\n",
    "import s3fs\n",
    "import matplotlib.colors as clr\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "94da4996-2ba9-440f-8fc7-279d186d9473",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'gcs://meom-ige-scratch/roxyboy'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import intake\n",
    "import os\n",
    "import gcsfs\n",
    "\n",
    "gcs = gcsfs.GCSFileSystem(requester_pays=True)\n",
    "\n",
    "SCRATCH = os.environ['SCRATCH_BUCKET']\n",
    "SCRATCH"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "4571771c-7876-409e-ba1f-90b5063d38e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "from validate_catalog import all_params\n",
    "params_dict, cat = all_params()\n",
    "\n",
    "fio01grid = xr.open_zarr(gcs.get_mapper(f\"gcs://meom-ige-scratch/roxyboy/region01/FIO-COM32/grid.zarr\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "00efc8ab-eb6d-4187-b301-4947af3bd91f",
   "metadata": {
    "tags": []
   },
   "outputs": [
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       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:        (bnds: 2, st_ocean: 57, sw_ocean: 57, time: 89, xt_ocean: 320, xu_ocean: 321, yt_ocean: 320, yu_ocean: 321)\n",
       "Coordinates:\n",
       "  * st_ocean       (st_ocean) float64 1.0 3.196 5.96 ... 6.117e+03 6.684e+03\n",
       "  * sw_ocean       (sw_ocean) float64 2.098 4.578 7.784 ... 6.4e+03 7e+03\n",
       "  * time           (time) datetime64[ns] 2018-02-02T12:00:00 ... 2018-04-30T1...\n",
       "  * xt_ocean       (xt_ocean) float64 -77.98 -77.95 -77.92 ... -68.05 -68.02\n",
       "  * xu_ocean       (xu_ocean) float64 -78.0 -77.97 -77.94 ... -68.03 -68.0\n",
       "  * yt_ocean       (yt_ocean) float64 30.02 30.05 30.08 ... 39.92 39.95 39.98\n",
       "  * yu_ocean       (yu_ocean) float64 30.0 30.03 30.06 ... 39.94 39.97 40.0\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    salt           (time, st_ocean, yt_ocean, xt_ocean) float32 dask.array&lt;chunksize=(5, 57, 100, 100), meta=np.ndarray&gt;\n",
       "    st_ocean_bnds  (st_ocean, bnds) float64 dask.array&lt;chunksize=(57, 2), meta=np.ndarray&gt;\n",
       "    sw_ocean_bnds  (sw_ocean, bnds) float64 dask.array&lt;chunksize=(57, 2), meta=np.ndarray&gt;\n",
       "    temp           (time, st_ocean, yt_ocean, xt_ocean) float32 dask.array&lt;chunksize=(5, 57, 100, 100), meta=np.ndarray&gt;\n",
       "    u              (time, st_ocean, yu_ocean, xu_ocean) float32 dask.array&lt;chunksize=(5, 57, 321, 321), meta=np.ndarray&gt;\n",
       "    v              (time, st_ocean, yu_ocean, xu_ocean) float32 dask.array&lt;chunksize=(5, 57, 321, 321), meta=np.ndarray&gt;\n",
       "    wt             (time, sw_ocean, yt_ocean, xt_ocean) float32 dask.array&lt;chunksize=(5, 57, 100, 100), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    Conventions:  CF-1.6</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-e7e496b5-2a09-4ae6-a533-1bf5aa0d2593' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e7e496b5-2a09-4ae6-a533-1bf5aa0d2593' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>st_ocean</span>: 57</li><li><span class='xr-has-index'>sw_ocean</span>: 57</li><li><span class='xr-has-index'>time</span>: 89</li><li><span class='xr-has-index'>xt_ocean</span>: 320</li><li><span class='xr-has-index'>xu_ocean</span>: 321</li><li><span class='xr-has-index'>yt_ocean</span>: 320</li><li><span class='xr-has-index'>yu_ocean</span>: 321</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-da91e583-a367-4af7-9032-aece828ca314' class='xr-section-summary-in' type='checkbox'  checked><label for='section-da91e583-a367-4af7-9032-aece828ca314' class='xr-section-summary' >Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>st_ocean</span></div><div class='xr-var-dims'>(st_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 3.196 ... 6.117e+03 6.684e+03</div><input id='attrs-37ea3c0d-7a05-466d-b3c0-02b03aa33be6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37ea3c0d-7a05-466d-b3c0-02b03aa33be6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a72c6306-d19b-4a00-89be-dbc6b6377de7' class='xr-var-data-in' type='checkbox'><label for='data-a72c6306-d19b-4a00-89be-dbc6b6377de7' title='Show/Hide data 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>axis :</span></dt><dd>Z</dd><dt><span>bounds :</span></dt><dd>st_ocean_bnds</dd><dt><span>long_name :</span></dt><dd>tcell zstar depth</dd><dt><span>point_spacing :</span></dt><dd>uneven</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><pre>array([1.000000e+00, 3.195774e+00, 5.959706e+00, 9.608565e+00, 1.437250e+01,\n",
       "       2.037250e+01, 2.760856e+01, 3.595971e+01, 4.519577e+01, 5.500000e+01,\n",
       "       6.500000e+01, 7.500000e+01, 8.500000e+01, 9.500000e+01, 1.050000e+02,\n",
       "       1.150000e+02, 1.250000e+02, 1.350000e+02, 1.450000e+02, 1.550000e+02,\n",
       "       1.650000e+02, 1.750000e+02, 1.850000e+02, 1.950000e+02, 2.050000e+02,\n",
       "       2.150000e+02, 2.250000e+02, 2.361228e+02, 2.506000e+02, 2.706208e+02,\n",
       "       2.983049e+02, 3.356756e+02, 3.846343e+02, 4.469366e+02, 5.241706e+02,\n",
       "       6.177363e+02, 7.288285e+02, 8.584215e+02, 1.007257e+03, 1.175835e+03,\n",
       "       1.364406e+03, 1.572971e+03, 1.801279e+03, 2.048829e+03, 2.314879e+03,\n",
       "       2.598456e+03, 2.898365e+03, 3.213206e+03, 3.541390e+03, 3.881162e+03,\n",
       "       4.230621e+03, 4.587743e+03, 4.950409e+03, 5.316429e+03, 5.683571e+03,\n",
       "       6.117143e+03, 6.683571e+03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>sw_ocean</span></div><div class='xr-var-dims'>(sw_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.098 4.578 7.784 ... 6.4e+03 7e+03</div><input id='attrs-39f42fa8-de12-4b8e-9fe5-26b0aef9b1be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39f42fa8-de12-4b8e-9fe5-26b0aef9b1be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89bb65b6-de6b-4ae0-89ba-0556db702714' class='xr-var-data-in' type='checkbox'><label for='data-89bb65b6-de6b-4ae0-89ba-0556db702714' title='Show/Hide data 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>axis :</span></dt><dd>Z</dd><dt><span>bounds :</span></dt><dd>sw_ocean_bnds</dd><dt><span>long_name :</span></dt><dd>ucell zstar depth</dd><dt><span>point_spacing :</span></dt><dd>uneven</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><pre>array([2.097887e+00, 4.577740e+00, 7.784135e+00, 1.199053e+01, 1.737250e+01,\n",
       "       2.399053e+01, 3.178414e+01, 4.057774e+01, 5.009789e+01, 6.000000e+01,\n",
       "       7.000000e+01, 8.000000e+01, 9.000000e+01, 1.000000e+02, 1.100000e+02,\n",
       "       1.200000e+02, 1.300000e+02, 1.400000e+02, 1.500000e+02, 1.600000e+02,\n",
       "       1.700000e+02, 1.800000e+02, 1.900000e+02, 2.000000e+02, 2.100000e+02,\n",
       "       2.200000e+02, 2.305614e+02, 2.433614e+02, 2.606104e+02, 2.844629e+02,\n",
       "       3.169903e+02, 3.601550e+02, 4.157855e+02, 4.855536e+02, 5.709535e+02,\n",
       "       6.732824e+02, 7.936250e+02, 9.328393e+02, 1.091546e+03, 1.270121e+03,\n",
       "       1.468689e+03, 1.687125e+03, 1.925054e+03, 2.181854e+03, 2.456668e+03,\n",
       "       2.748411e+03, 3.055785e+03, 3.377298e+03, 3.711276e+03, 4.055891e+03,\n",
       "       4.409182e+03, 4.769076e+03, 5.133419e+03, 5.500000e+03, 5.900357e+03,\n",
       "       6.400357e+03, 7.000000e+03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2018-02-02T12:00:00 ... 2018-04-...</div><input id='attrs-252df8c2-66e0-4827-b7d9-0707f5dbb246' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-252df8c2-66e0-4827-b7d9-0707f5dbb246' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49f4b236-60bf-43e4-9d65-b2d024e00b87' class='xr-var-data-in' type='checkbox'><label for='data-49f4b236-60bf-43e4-9d65-b2d024e00b87' title='Show/Hide data 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>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2018-02-02T12:00:00.000000000&#x27;, &#x27;2018-02-02T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-02-03T12:00:00.000000000&#x27;, &#x27;2018-02-04T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-02-05T12:00:00.000000000&#x27;, &#x27;2018-02-06T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-02-07T12:00:00.000000000&#x27;, &#x27;2018-02-08T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-02-09T12:00:00.000000000&#x27;, &#x27;2018-02-10T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-02-11T12:00:00.000000000&#x27;, &#x27;2018-02-12T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-02-13T12:00:00.000000000&#x27;, &#x27;2018-02-14T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-02-15T12:00:00.000000000&#x27;, &#x27;2018-02-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-02-17T12:00:00.000000000&#x27;, &#x27;2018-02-18T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-02-19T12:00:00.000000000&#x27;, &#x27;2018-02-20T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-02-21T12:00:00.000000000&#x27;, &#x27;2018-02-22T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-02-23T12:00:00.000000000&#x27;, &#x27;2018-02-24T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-02-25T12:00:00.000000000&#x27;, &#x27;2018-02-26T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-02-27T12:00:00.000000000&#x27;, &#x27;2018-02-28T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-03-01T12:00:00.000000000&#x27;, &#x27;2018-03-02T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-03-03T12:00:00.000000000&#x27;, &#x27;2018-03-04T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-03-05T12:00:00.000000000&#x27;, &#x27;2018-03-06T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-03-07T12:00:00.000000000&#x27;, &#x27;2018-03-08T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-03-09T12:00:00.000000000&#x27;, &#x27;2018-03-10T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-03-11T12:00:00.000000000&#x27;, &#x27;2018-03-12T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-03-13T12:00:00.000000000&#x27;, &#x27;2018-03-14T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-03-15T12:00:00.000000000&#x27;, &#x27;2018-03-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-03-17T12:00:00.000000000&#x27;, &#x27;2018-03-18T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-03-19T12:00:00.000000000&#x27;, &#x27;2018-03-20T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-03-21T12:00:00.000000000&#x27;, &#x27;2018-03-22T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-03-23T12:00:00.000000000&#x27;, &#x27;2018-03-24T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-03-25T12:00:00.000000000&#x27;, &#x27;2018-03-26T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-03-27T12:00:00.000000000&#x27;, &#x27;2018-03-28T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-03-29T12:00:00.000000000&#x27;, &#x27;2018-03-30T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-03-31T12:00:00.000000000&#x27;, &#x27;2018-04-01T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-04-02T12:00:00.000000000&#x27;, &#x27;2018-04-03T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-04-04T12:00:00.000000000&#x27;, &#x27;2018-04-05T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-04-06T12:00:00.000000000&#x27;, &#x27;2018-04-07T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-04-08T12:00:00.000000000&#x27;, &#x27;2018-04-09T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-04-10T12:00:00.000000000&#x27;, &#x27;2018-04-11T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-04-12T12:00:00.000000000&#x27;, &#x27;2018-04-13T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-04-14T12:00:00.000000000&#x27;, &#x27;2018-04-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-04-16T12:00:00.000000000&#x27;, &#x27;2018-04-17T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-04-18T12:00:00.000000000&#x27;, &#x27;2018-04-19T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-04-20T12:00:00.000000000&#x27;, &#x27;2018-04-21T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-04-22T12:00:00.000000000&#x27;, &#x27;2018-04-23T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-04-24T12:00:00.000000000&#x27;, &#x27;2018-04-25T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-04-26T12:00:00.000000000&#x27;, &#x27;2018-04-27T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-04-28T12:00:00.000000000&#x27;, &#x27;2018-04-29T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-04-30T12:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xt_ocean</span></div><div class='xr-var-dims'>(xt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-77.98 -77.95 ... -68.05 -68.02</div><input id='attrs-81fd2673-3435-47d6-a38f-d409ef825158' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81fd2673-3435-47d6-a38f-d409ef825158' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e99e8990-8092-49a9-a1eb-41d997142583' class='xr-var-data-in' type='checkbox'><label for='data-e99e8990-8092-49a9-a1eb-41d997142583' title='Show/Hide data 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>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>tcell longitude</dd><dt><span>modulo :</span></dt><dd> </dd><dt><span>point_spacing :</span></dt><dd>even</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-77.984375, -77.953125, -77.921875, ..., -68.078125, -68.046875,\n",
       "       -68.015625])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xu_ocean</span></div><div class='xr-var-dims'>(xu_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-78.0 -77.97 ... -68.03 -68.0</div><input id='attrs-c1915956-1fca-45c0-9279-5b2aeef82300' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1915956-1fca-45c0-9279-5b2aeef82300' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a404046c-fc45-40e9-8d55-2b8dc9ac17c1' class='xr-var-data-in' type='checkbox'><label for='data-a404046c-fc45-40e9-8d55-2b8dc9ac17c1' title='Show/Hide data 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>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>ucell longitude</dd><dt><span>modulo :</span></dt><dd> </dd><dt><span>point_spacing :</span></dt><dd>even</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-78.     , -77.96875, -77.9375 , ..., -68.0625 , -68.03125, -68.     ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yt_ocean</span></div><div class='xr-var-dims'>(yt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>30.02 30.05 30.08 ... 39.95 39.98</div><input id='attrs-e44cf26d-6ad8-40bc-b6d4-79ada55fa32d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e44cf26d-6ad8-40bc-b6d4-79ada55fa32d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbfc7943-c62e-4ed3-814f-1346bfac13e3' class='xr-var-data-in' type='checkbox'><label for='data-dbfc7943-c62e-4ed3-814f-1346bfac13e3' title='Show/Hide data 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>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>tcell latitude</dd><dt><span>point_spacing :</span></dt><dd>even</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([30.015625, 30.046875, 30.078125, ..., 39.921875, 39.953125, 39.984375])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yu_ocean</span></div><div class='xr-var-dims'>(yu_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>30.0 30.03 30.06 ... 39.97 40.0</div><input id='attrs-913f79ee-5fec-4b1b-8361-18decac6a628' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-913f79ee-5fec-4b1b-8361-18decac6a628' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1a2a3b6-be70-4c76-b53d-f373b8691f81' class='xr-var-data-in' type='checkbox'><label for='data-d1a2a3b6-be70-4c76-b53d-f373b8691f81' title='Show/Hide data 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>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>ucell latitude</dd><dt><span>point_spacing :</span></dt><dd>even</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([30.     , 30.03125, 30.0625 , ..., 39.9375 , 39.96875, 40.     ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ff6f948b-7d7c-4427-a3a3-5731c4b2f86e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ff6f948b-7d7c-4427-a3a3-5731c4b2f86e' class='xr-section-summary' >Data variables: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>salt</span></div><div class='xr-var-dims'>(time, st_ocean, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5, 57, 100, 100), meta=np.ndarray&gt;</div><input id='attrs-d97935e1-339b-4f19-97ed-9b7aa7d4a0ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d97935e1-339b-4f19-97ed-9b7aa7d4a0ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-830c6975-37fe-446f-9ac2-e27c1f7ac692' class='xr-var-data-in' type='checkbox'><label for='data-830c6975-37fe-446f-9ac2-e27c1f7ac692' title='Show/Hide data 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>history :</span></dt><dd>From ../../ocean_snap_salt_2018_02_01.nc</dd><dt><span>long_name :</span></dt><dd>IF ( SALT0 LT VMAX AND SALT0 GT VMIN ) THEN SALT0 ELSE (-32768*1.+0.)</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>st_ocean_bnds</span></div><div class='xr-var-dims'>(st_ocean, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(57, 2), meta=np.ndarray&gt;</div><input id='attrs-4dc1a92d-998e-40e1-a50f-e98e20a7d465' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4dc1a92d-998e-40e1-a50f-e98e20a7d465' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f8c9b52-04a6-4df8-b51b-6c1f1c5b3f25' class='xr-var-data-in' type='checkbox'><label for='data-6f8c9b52-04a6-4df8-b51b-6c1f1c5b3f25' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sw_ocean_bnds</span></div><div class='xr-var-dims'>(sw_ocean, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(57, 2), meta=np.ndarray&gt;</div><input id='attrs-bb9b1415-836c-492c-8095-4896b2fed186' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bb9b1415-836c-492c-8095-4896b2fed186' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15670446-1d58-4d15-817d-12489e285b60' class='xr-var-data-in' type='checkbox'><label for='data-15670446-1d58-4d15-817d-12489e285b60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp</span></div><div class='xr-var-dims'>(time, st_ocean, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5, 57, 100, 100), meta=np.ndarray&gt;</div><input id='attrs-425e6e98-3a22-4617-a29e-d1475fa75bcd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-425e6e98-3a22-4617-a29e-d1475fa75bcd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6c4828f-22e1-49e1-9be6-a3e1d0cdd124' class='xr-var-data-in' type='checkbox'><label for='data-e6c4828f-22e1-49e1-9be6-a3e1d0cdd124' title='Show/Hide data 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>history :</span></dt><dd>From ../../ocean_snap_temp_2018_02_01.nc</dd><dt><span>long_name :</span></dt><dd>IF ( TEMP0 LT VMAX AND TEMP0 GT VMIN ) THEN TEMP0 ELSE (-32768*1.+0.)</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u</span></div><div class='xr-var-dims'>(time, st_ocean, yu_ocean, xu_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5, 57, 321, 321), meta=np.ndarray&gt;</div><input id='attrs-20b6703a-f579-4fb8-8f82-7f350d82b514' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20b6703a-f579-4fb8-8f82-7f350d82b514' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a1cbe61-87de-4d68-8142-51f86e5f9f2c' class='xr-var-data-in' type='checkbox'><label for='data-6a1cbe61-87de-4d68-8142-51f86e5f9f2c' title='Show/Hide data 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>history :</span></dt><dd>From ../../ocean_snap_u_2018_02_01.nc</dd><dt><span>long_name :</span></dt><dd>IF ( U0 LT VMAX AND U0 GT VMIN ) THEN U0 ELSE (-32768*1.+0.)</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v</span></div><div class='xr-var-dims'>(time, st_ocean, yu_ocean, xu_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5, 57, 321, 321), meta=np.ndarray&gt;</div><input id='attrs-e7d8b48f-21da-43ee-b8f6-fa7d93d861d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7d8b48f-21da-43ee-b8f6-fa7d93d861d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68615e9b-99a1-45c0-bc04-16fa7eed5549' class='xr-var-data-in' type='checkbox'><label for='data-68615e9b-99a1-45c0-bc04-16fa7eed5549' title='Show/Hide data 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>history :</span></dt><dd>From ../../ocean_snap_v_2018_02_01.nc</dd><dt><span>long_name :</span></dt><dd>IF ( V0 LT VMAX AND V0 GT VMIN ) THEN V0 ELSE (-32768*1.+0.)</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wt</span></div><div class='xr-var-dims'>(time, sw_ocean, yt_ocean, xt_ocean)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5, 57, 100, 100), meta=np.ndarray&gt;</div><input id='attrs-8c8ab5e8-a9ee-4038-a572-d9bc6cf23171' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c8ab5e8-a9ee-4038-a572-d9bc6cf23171' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05395771-7cf5-484a-a99c-b6f18db25893' class='xr-var-data-in' type='checkbox'><label for='data-05395771-7cf5-484a-a99c-b6f18db25893' title='Show/Hide data 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>history :</span></dt><dd>From ../../ocean_snap_w_2018_02_01.nc</dd><dt><span>long_name :</span></dt><dd>IF ( WT0 LT VMAX AND WT0 GT VMIN ) THEN WT0 ELSE (-32768*1.+0.)</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 1.94 GiB </td> <td> 10.87 MiB </td></tr>\n",
       "    <tr><th> Shape </th><td> (89, 57, 320, 320) </td> <td> (5, 57, 100, 100) </td></tr>\n",
       "    <tr><th> Count </th><td> 595 Tasks </td><td> 288 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-bcd2dc37-1ad6-4986-ac33-998f4bb322c7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bcd2dc37-1ad6-4986-ac33-998f4bb322c7' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:        (bnds: 2, st_ocean: 57, sw_ocean: 57, time: 89, xt_ocean: 320, xu_ocean: 321, yt_ocean: 320, yu_ocean: 321)\n",
       "Coordinates:\n",
       "  * st_ocean       (st_ocean) float64 1.0 3.196 5.96 ... 6.117e+03 6.684e+03\n",
       "  * sw_ocean       (sw_ocean) float64 2.098 4.578 7.784 ... 6.4e+03 7e+03\n",
       "  * time           (time) datetime64[ns] 2018-02-02T12:00:00 ... 2018-04-30T1...\n",
       "  * xt_ocean       (xt_ocean) float64 -77.98 -77.95 -77.92 ... -68.05 -68.02\n",
       "  * xu_ocean       (xu_ocean) float64 -78.0 -77.97 -77.94 ... -68.03 -68.0\n",
       "  * yt_ocean       (yt_ocean) float64 30.02 30.05 30.08 ... 39.92 39.95 39.98\n",
       "  * yu_ocean       (yu_ocean) float64 30.0 30.03 30.06 ... 39.94 39.97 40.0\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    salt           (time, st_ocean, yt_ocean, xt_ocean) float32 dask.array<chunksize=(5, 57, 100, 100), meta=np.ndarray>\n",
       "    st_ocean_bnds  (st_ocean, bnds) float64 dask.array<chunksize=(57, 2), meta=np.ndarray>\n",
       "    sw_ocean_bnds  (sw_ocean, bnds) float64 dask.array<chunksize=(57, 2), meta=np.ndarray>\n",
       "    temp           (time, st_ocean, yt_ocean, xt_ocean) float32 dask.array<chunksize=(5, 57, 100, 100), meta=np.ndarray>\n",
       "    u              (time, st_ocean, yu_ocean, xu_ocean) float32 dask.array<chunksize=(5, 57, 321, 321), meta=np.ndarray>\n",
       "    v              (time, st_ocean, yu_ocean, xu_ocean) float32 dask.array<chunksize=(5, 57, 321, 321), meta=np.ndarray>\n",
       "    wt             (time, sw_ocean, yt_ocean, xt_ocean) float32 dask.array<chunksize=(5, 57, 100, 100), meta=np.ndarray>\n",
       "Attributes:\n",
       "    Conventions:  CF-1.6"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fio01w = cat[\"FIO-COM32\"](region='1',datatype='interior_daily', season='fma'\n",
    "                         ).to_dask().chunk({'yt_ocean':100,'xt_ocean':100})\n",
    "fio01w"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7f19d570-0e82-432b-8277-7ded2d62917a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f53c521da90>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "grav = 9.81\n",
    "w_path = f'{SCRATCH}/region01/FIO-COM32/'+f'sigma0_fma.zarr'\n",
    "sig0w = xr.open_zarr(gcs.get_mapper(w_path)).sig0.chunk({'st_ocean':5})\n",
    "\n",
    "b_win = -xr.DataArray(sig0w.data, dims=fio01w.temp.dims, coords=fio01w.temp.coords) * grav / 1e3\n",
    "\n",
    "\n",
    "MLDw = xr.open_zarr(gcs.get_mapper(f\"gcs://meom-ige-scratch/roxyboy/region01/FIO-COM32/MLD_fma.zarr\")\n",
    "                   ).MLD.chunk({'time':10,'yt_ocean':100,'xt_ocean':100})\n",
    "MLDw.isel(time=0).plot(vmax=200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b9f75d6e-ef3a-407b-926f-13a425a48c66",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f53c55564c0>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bw = .5*xr.DataArray(b_win.isel(st_ocean=slice(None,-1)).data + b_win.isel(st_ocean=slice(1,None)).data,\n",
    "                     dims=['time','sw_ocean','yt_ocean','xt_ocean'],\n",
    "                     coords=fio01w.wt.isel(sw_ocean=slice(None,-1)).coords\n",
    "                    )\n",
    "\n",
    "maskb = np.ma.masked_invalid(bw.isel(time=0)).mask\n",
    "mask = ~np.ma.masked_array(np.ma.masked_invalid(fio01w.wt.isel(time=0,sw_ocean=slice(None,-1))),maskb).mask\n",
    "\n",
    "wet_mask = xr.DataArray(np.zeros_like(fio01w.wt.isel(time=0,sw_ocean=slice(None,-1))),\n",
    "                        dims=['sw_ocean','yt_ocean','xt_ocean'],\n",
    "                        coords=fio01w.wt.isel(time=0,sw_ocean=slice(None,-1)).coords\n",
    "           )\n",
    "wet_mask[:,1:-1,1:-1] = mask[:,1:-1,1:-1].astype(np.float64)\n",
    "wet_mask.isel(sw_ocean=0).plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f1e97c04-208b-43f2-88a6-5315d385c397",
   "metadata": {},
   "outputs": [],
   "source": [
    "uw = .5*xr.DataArray(fio01w.u.isel(time=0,st_ocean=slice(None,-1)).data \n",
    "                     + fio01w.u.isel(time=0,st_ocean=slice(1,None)).data,\n",
    "                     dims=['sw_ocean','yu_ocean','xu_ocean'],\n",
    "        )\n",
    "masku = xr.DataArray(np.ma.masked_invalid(uw).mask,\n",
    "                     dims=['sw_ocean','yu_ocean','xu_ocean'],\n",
    "                     coords={'sw_ocean':fio01w.sw_ocean.isel(sw_ocean=slice(None,-1)),\n",
    "                             'yu_ocean':fio01w.yu_ocean,'xu_ocean':fio01w.xu_ocean}\n",
    "        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4b4e5b3c-5537-4dc3-813c-183ef6dc781b",
   "metadata": {},
   "outputs": [],
   "source": [
    "area = xr.DataArray(fio01grid.DXT * fio01grid.DYT, dims=['yt_ocean','xt_ocean'],\n",
    "                    coords=fio01w.temp.isel(time=0,st_ocean=0).coords)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3cc1b5c6-edae-43c1-a2a8-19e576b9a1f4",
   "metadata": {},
   "outputs": [
    {
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       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;mul-8e5e4ae57dbef0e1591b1ae05c268fd0&#x27; (yt_ocean: 320, xt_ocean: 320)&gt;\n",
       "dask.array&lt;mul, shape=(320, 320), dtype=float32, chunksize=(160, 320), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "    st_ocean  float64 1.0\n",
       "    time      datetime64[ns] 2018-02-02T12:00:00\n",
       "  * xt_ocean  (xt_ocean) float64 -77.98 -77.95 -77.92 ... -68.08 -68.05 -68.02\n",
       "  * yt_ocean  (yt_ocean) float64 30.02 30.05 30.08 30.11 ... 39.92 39.95 39.98</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'mul-8e5e4ae57dbef0e1591b1ae05c268fd0'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>yt_ocean</span>: 320</li><li><span class='xr-has-index'>xt_ocean</span>: 320</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-73ffcde6-de85-4048-b988-4bbcb7ca5757' class='xr-array-in' type='checkbox' checked><label for='section-73ffcde6-de85-4048-b988-4bbcb7ca5757' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(160, 320), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 400.00 kiB </td> <td> 200.00 kiB </td></tr>\n",
       "    <tr><th> Shape </th><td> (320, 320) </td> <td> (160, 320) </td></tr>\n",
       "    <tr><th> Count </th><td> 23 Tasks </td><td> 3 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >320</text>\n",
       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">320</text>\n",
       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-0f3cb219-5f12-43b8-9fa1-5868c66abfe0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0f3cb219-5f12-43b8-9fa1-5868c66abfe0' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>st_ocean</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0</div><input id='attrs-9679056f-e6a9-44c7-9efb-6d75c901a469' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9679056f-e6a9-44c7-9efb-6d75c901a469' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-391bd10f-a01c-44b8-ac3f-4b225cd7de80' class='xr-var-data-in' type='checkbox'><label for='data-391bd10f-a01c-44b8-ac3f-4b225cd7de80' title='Show/Hide data 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>axis :</span></dt><dd>Z</dd><dt><span>bounds :</span></dt><dd>st_ocean_bnds</dd><dt><span>long_name :</span></dt><dd>tcell zstar depth</dd><dt><span>point_spacing :</span></dt><dd>uneven</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><pre>array(1.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2018-02-02T12:00:00</div><input id='attrs-96966465-0b5a-4086-a201-14cfddcd7727' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96966465-0b5a-4086-a201-14cfddcd7727' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a54f102f-8362-4e88-b56d-3adf2f4716fc' class='xr-var-data-in' type='checkbox'><label for='data-a54f102f-8362-4e88-b56d-3adf2f4716fc' title='Show/Hide data 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>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2018-02-02T12:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xt_ocean</span></div><div class='xr-var-dims'>(xt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-77.98 -77.95 ... -68.05 -68.02</div><input id='attrs-d59c581b-d1eb-4b49-98ee-97a19fb742a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d59c581b-d1eb-4b49-98ee-97a19fb742a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fbafebf-e8c9-4047-95a1-0f158a3d9152' class='xr-var-data-in' type='checkbox'><label for='data-7fbafebf-e8c9-4047-95a1-0f158a3d9152' title='Show/Hide data 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>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>tcell longitude</dd><dt><span>modulo :</span></dt><dd> </dd><dt><span>point_spacing :</span></dt><dd>even</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-77.984375, -77.953125, -77.921875, ..., -68.078125, -68.046875,\n",
       "       -68.015625])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yt_ocean</span></div><div class='xr-var-dims'>(yt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>30.02 30.05 30.08 ... 39.95 39.98</div><input id='attrs-449c7dd8-29fe-435b-8043-e3a3f5fe8031' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-449c7dd8-29fe-435b-8043-e3a3f5fe8031' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c930b158-a15d-4391-a788-7363d86feab6' class='xr-var-data-in' type='checkbox'><label for='data-c930b158-a15d-4391-a788-7363d86feab6' title='Show/Hide data 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>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>tcell latitude</dd><dt><span>point_spacing :</span></dt><dd>even</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([30.015625, 30.046875, 30.078125, ..., 39.921875, 39.953125, 39.984375])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ce84cd0f-e0ab-4afc-9d71-b2482484ec99' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ce84cd0f-e0ab-4afc-9d71-b2482484ec99' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'mul-8e5e4ae57dbef0e1591b1ae05c268fd0' (yt_ocean: 320, xt_ocean: 320)>\n",
       "dask.array<mul, shape=(320, 320), dtype=float32, chunksize=(160, 320), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "    st_ocean  float64 1.0\n",
       "    time      datetime64[ns] 2018-02-02T12:00:00\n",
       "  * xt_ocean  (xt_ocean) float64 -77.98 -77.95 -77.92 ... -68.08 -68.05 -68.02\n",
       "  * yt_ocean  (yt_ocean) float64 30.02 30.05 30.08 30.11 ... 39.92 39.95 39.98"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dxw = xr.DataArray(.5*(fio01grid.DXC[1:,:-1].data + fio01grid.DXC[:-1,:-1].data),\n",
    "                   dims=area.dims, coords=area.coords\n",
    "                  ) # x-spacing centered at western cell edge\n",
    "\n",
    "dyw = xr.DataArray(.5*(fio01grid.DYC[1:,:-1].data + fio01grid.DYC[:-1,:-1].data),\n",
    "                   dims=area.dims, coords=area.coords\n",
    "                  ) # y-spacing centered at western cell edge\n",
    "\n",
    "dxs = xr.DataArray(.5*(fio01grid.DXC[:-1,1:].data + fio01grid.DXC[:-1,:-1].data),\n",
    "                   dims=area.dims, coords=area.coords\n",
    "                  ) # x-spacing centered at southern cell edge\n",
    "\n",
    "dys = xr.DataArray(.5*(fio01grid.DYC[:-1,1:].data + fio01grid.DYC[:-1,:-1].data),\n",
    "                   dims=area.dims, coords=area.coords\n",
    "                  ) # y-spacing centered at southern cell edge\n",
    "dxw"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9756eda4-4987-4ea7-a3a5-dcd7ff26be67",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(2663.1006, dtype=float32)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dx_min = min(dxw.min(), dyw.min(), dxs.min(), dys.min()\n",
    "            )\n",
    "dx_min = dx_min.values\n",
    "dx_min"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "ebba2f39-b46b-408b-8000-9ee0ec572c48",
   "metadata": {},
   "outputs": [],
   "source": [
    "kappa_w = xr.ones_like(wet_mask)\n",
    "kappa_s = xr.ones_like(wet_mask)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "550faeef-4315-4761-9ed5-ad6962f447ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Filter(filter_scale=30000, dx_min=array(2663.1006, dtype=float32), filter_shape=<FilterShape.GAUSSIAN: 1>, transition_width=3.141592653589793, ndim=2, n_steps=13, grid_type=<GridType.IRREGULAR_WITH_LAND: 5>)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filter_scale = 30000   # 30 km\n",
    "filter_30km = gcm_filters.Filter(\n",
    "    filter_scale=filter_scale,\n",
    "    dx_min=dx_min,\n",
    "#     n_steps=36,\n",
    "    filter_shape=gcm_filters.FilterShape.GAUSSIAN,\n",
    "    grid_type=gcm_filters.GridType.IRREGULAR_WITH_LAND,\n",
    "    grid_vars={\n",
    "        'wet_mask': wet_mask.chunk({'yt_ocean':-1,'xt_ocean':-1}), \n",
    "        'dxw': dxw.chunk({'yt_ocean':-1,'xt_ocean':-1}), 'dyw': dyw.chunk({'yt_ocean':-1,'xt_ocean':-1}), \n",
    "        'dxs': dxs.chunk({'yt_ocean':-1,'xt_ocean':-1}), 'dys': dys.chunk({'yt_ocean':-1,'xt_ocean':-1}), \n",
    "        'area': area.chunk({'yt_ocean':-1,'xt_ocean':-1}), \n",
    "        'kappa_w': kappa_w.chunk({'yt_ocean':-1,'xt_ocean':-1}), \n",
    "        'kappa_s': kappa_s.chunk({'yt_ocean':-1,'xt_ocean':-1})\n",
    "    }\n",
    ")\n",
    "filter_30km"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "d26625e5-7cc2-46f5-9a6d-132ec8aaac05",
   "metadata": {},
   "outputs": [],
   "source": [
    "Au = xr.DataArray(fio01grid.DXC.data * fio01grid.DYC.data, \n",
    "                  dims=['yu_ocean','xu_ocean'],\n",
    "                  coords=uw.isel(sw_ocean=0).coords\n",
    "                 )\n",
    "ncoars = 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "43d1e1be-81c9-492a-949d-9069ffb76786",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (sw_ocean: 56)&gt;\n",
       "array([  2.19577393,   2.76393202,   3.64885899,   4.76393202,\n",
       "         6.        ,   7.23606798,   8.35114101,   9.23606798,\n",
       "         9.80422607,  10.        ,  10.        ,  10.        ,\n",
       "        10.        ,  10.        ,  10.        ,  10.        ,\n",
       "        10.        ,  10.        ,  10.        ,  10.        ,\n",
       "        10.        ,  10.        ,  10.        ,  10.        ,\n",
       "        10.        ,  10.        ,  11.12281967,  14.47715857,\n",
       "        20.02083395,  27.68413087,  37.37067893,  48.95866416,\n",
       "        62.30236092,  77.23396449,  93.56570129, 111.09219025,\n",
       "       129.59302561, 148.83554862, 168.57777339, 188.57143   ,\n",
       "       208.56508661, 228.30731138, 247.54983439, 266.05066975,\n",
       "       283.57715871, 299.90889551, 314.84049908, 328.18419584,\n",
       "       339.77218107, 349.45872913, 357.12202605, 362.66570143,\n",
       "       366.02004033, 367.14286   , 433.57143   , 566.42857   ])\n",
       "Coordinates:\n",
       "  * sw_ocean  (sw_ocean) float64 2.098 4.578 7.784 ... 5.5e+03 5.9e+03 6.4e+03</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>sw_ocean</span>: 56</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1eefefde-a5f0-42bb-92de-47e40ef73e6c' class='xr-array-in' type='checkbox' checked><label for='section-1eefefde-a5f0-42bb-92de-47e40ef73e6c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.196 2.764 3.649 4.764 6.0 7.236 ... 362.7 366.0 367.1 433.6 566.4</span></div><div class='xr-array-data'><pre>array([  2.19577393,   2.76393202,   3.64885899,   4.76393202,\n",
       "         6.        ,   7.23606798,   8.35114101,   9.23606798,\n",
       "         9.80422607,  10.        ,  10.        ,  10.        ,\n",
       "        10.        ,  10.        ,  10.        ,  10.        ,\n",
       "        10.        ,  10.        ,  10.        ,  10.        ,\n",
       "        10.        ,  10.        ,  10.        ,  10.        ,\n",
       "        10.        ,  10.        ,  11.12281967,  14.47715857,\n",
       "        20.02083395,  27.68413087,  37.37067893,  48.95866416,\n",
       "        62.30236092,  77.23396449,  93.56570129, 111.09219025,\n",
       "       129.59302561, 148.83554862, 168.57777339, 188.57143   ,\n",
       "       208.56508661, 228.30731138, 247.54983439, 266.05066975,\n",
       "       283.57715871, 299.90889551, 314.84049908, 328.18419584,\n",
       "       339.77218107, 349.45872913, 357.12202605, 362.66570143,\n",
       "       366.02004033, 367.14286   , 433.57143   , 566.42857   ])</pre></div></div></li><li class='xr-section-item'><input id='section-f957d7ef-e509-4cab-a965-a92229ae7c7f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f957d7ef-e509-4cab-a965-a92229ae7c7f' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>sw_ocean</span></div><div class='xr-var-dims'>(sw_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.098 4.578 ... 5.9e+03 6.4e+03</div><input id='attrs-b67ba0e9-ad38-4dda-a537-3d49fef4e4a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b67ba0e9-ad38-4dda-a537-3d49fef4e4a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4df3530-a25d-4652-81f9-8164cff793a7' class='xr-var-data-in' type='checkbox'><label for='data-e4df3530-a25d-4652-81f9-8164cff793a7' title='Show/Hide data 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>axis :</span></dt><dd>Z</dd><dt><span>bounds :</span></dt><dd>sw_ocean_bnds</dd><dt><span>long_name :</span></dt><dd>ucell zstar depth</dd><dt><span>point_spacing :</span></dt><dd>uneven</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><pre>array([2.097887e+00, 4.577740e+00, 7.784135e+00, 1.199053e+01, 1.737250e+01,\n",
       "       2.399053e+01, 3.178414e+01, 4.057774e+01, 5.009789e+01, 6.000000e+01,\n",
       "       7.000000e+01, 8.000000e+01, 9.000000e+01, 1.000000e+02, 1.100000e+02,\n",
       "       1.200000e+02, 1.300000e+02, 1.400000e+02, 1.500000e+02, 1.600000e+02,\n",
       "       1.700000e+02, 1.800000e+02, 1.900000e+02, 2.000000e+02, 2.100000e+02,\n",
       "       2.200000e+02, 2.305614e+02, 2.433614e+02, 2.606104e+02, 2.844629e+02,\n",
       "       3.169903e+02, 3.601550e+02, 4.157855e+02, 4.855536e+02, 5.709535e+02,\n",
       "       6.732824e+02, 7.936250e+02, 9.328393e+02, 1.091546e+03, 1.270121e+03,\n",
       "       1.468689e+03, 1.687125e+03, 1.925054e+03, 2.181854e+03, 2.456668e+03,\n",
       "       2.748411e+03, 3.055785e+03, 3.377298e+03, 3.711276e+03, 4.055891e+03,\n",
       "       4.409182e+03, 4.769076e+03, 5.133419e+03, 5.500000e+03, 5.900357e+03,\n",
       "       6.400357e+03])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6b252814-daae-4dc1-bad7-d167413777bb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6b252814-daae-4dc1-bad7-d167413777bb' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (sw_ocean: 56)>\n",
       "array([  2.19577393,   2.76393202,   3.64885899,   4.76393202,\n",
       "         6.        ,   7.23606798,   8.35114101,   9.23606798,\n",
       "         9.80422607,  10.        ,  10.        ,  10.        ,\n",
       "        10.        ,  10.        ,  10.        ,  10.        ,\n",
       "        10.        ,  10.        ,  10.        ,  10.        ,\n",
       "        10.        ,  10.        ,  10.        ,  10.        ,\n",
       "        10.        ,  10.        ,  11.12281967,  14.47715857,\n",
       "        20.02083395,  27.68413087,  37.37067893,  48.95866416,\n",
       "        62.30236092,  77.23396449,  93.56570129, 111.09219025,\n",
       "       129.59302561, 148.83554862, 168.57777339, 188.57143   ,\n",
       "       208.56508661, 228.30731138, 247.54983439, 266.05066975,\n",
       "       283.57715871, 299.90889551, 314.84049908, 328.18419584,\n",
       "       339.77218107, 349.45872913, 357.12202605, 362.66570143,\n",
       "       366.02004033, 367.14286   , 433.57143   , 566.42857   ])\n",
       "Coordinates:\n",
       "  * sw_ocean  (sw_ocean) float64 2.098 4.578 7.784 ... 5.5e+03 5.9e+03 6.4e+03"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xrdzs = xr.DataArray(np.diff(fio01w.st_ocean.data), dims=['sw_ocean'],\n",
    "                     coords=fio01w.sw_ocean.isel(sw_ocean=slice(None,-1)).coords\n",
    "                    )\n",
    "xrdzs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e950f51c-2224-4f73-a338-b4dfa11315ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "def diff(a, shift, axis):\n",
    "    return a - np.roll(a, shift, axis)\n",
    "\n",
    "DYC = xr.DataArray(fio01grid.DYC.data, dims=['yu_ocean','xu_ocean'],\n",
    "                   coords=fio01w.u.isel(time=0,st_ocean=0).coords\n",
    "                  )\n",
    "DXC = xr.DataArray(fio01grid.DXC.data, dims=['yu_ocean','xu_ocean'],\n",
    "                   coords=fio01w.u.isel(time=0,st_ocean=0).coords\n",
    "                  )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "b5461246-aaba-4a62-966c-8bc6c481050d",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;mul-c7f01943fb6e26c0d3ba07e7f943af46&#x27; (time: 89, yu_ocean: 319, xu_ocean: 319)&gt;\n",
       "dask.array&lt;mul, shape=(89, 319, 319), dtype=float64, chunksize=(10, 99, 99), chunktype=numpy.ndarray&gt;\n",
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       "  * time      (time) datetime64[ns] 2018-02-02T12:00:00 ... 2018-04-30T12:00:00\n",
       "  * yu_ocean  (yu_ocean) float64 30.03 30.06 30.09 30.12 ... 39.91 39.94 39.97\n",
       "  * xu_ocean  (xu_ocean) float64 -77.97 -77.94 -77.91 ... -68.09 -68.06 -68.03</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'mul-c7f01943fb6e26c0d3ba07e7f943af46'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 89</li><li><span class='xr-has-index'>yu_ocean</span>: 319</li><li><span class='xr-has-index'>xu_ocean</span>: 319</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7e34f415-22e1-424d-af26-353adfda786b' class='xr-array-in' type='checkbox' checked><label for='section-7e34f415-22e1-424d-af26-353adfda786b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(10, 99, 99), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
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       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 69.10 MiB </td> <td> 765.70 kiB </td></tr>\n",
       "    <tr><th> Shape </th><td> (89, 319, 319) </td> <td> (10, 99, 99) </td></tr>\n",
       "    <tr><th> Count </th><td> 8290 Tasks </td><td> 441 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float64 </td><td> numpy.ndarray </td></tr>\n",
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      ],
      "text/plain": [
       "<xarray.DataArray 'mul-c7f01943fb6e26c0d3ba07e7f943af46' (time: 89, yu_ocean: 319, xu_ocean: 319)>\n",
       "dask.array<mul, shape=(89, 319, 319), dtype=float64, chunksize=(10, 99, 99), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * time      (time) datetime64[ns] 2018-02-02T12:00:00 ... 2018-04-30T12:00:00\n",
       "  * yu_ocean  (yu_ocean) float64 30.03 30.06 30.09 30.12 ... 39.91 39.94 39.97\n",
       "  * xu_ocean  (xu_ocean) float64 -77.97 -77.94 -77.91 ... -68.09 -68.06 -68.03"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bm = filter_30km.apply(bw.chunk({'sw_ocean':10,'yt_ocean':-1,'xt_ocean':-1}), \n",
    "                       dims=['yt_ocean','xt_ocean']\n",
    "                      ).chunk({'yt_ocean':100,'xt_ocean':100})\n",
    "\n",
    "bmx = .5*(bm[...,1:].data + bm[...,:-1].data)\n",
    "bmy = .5*(bm[...,1:,:].data + bm[...,:-1,:].data)\n",
    "\n",
    "dbmy = xr.DataArray(diff(bmx, 1, -2)[...,1:,:], \n",
    "                    dims=['time','sw_ocean','yu_ocean','xu_ocean'],\n",
    "                    coords={'time':fio01w.time,\n",
    "                            'sw_ocean':fio01w.sw_ocean.isel(sw_ocean=slice(None,-1)),\n",
    "                            'yu_ocean':fio01w.yu_ocean.isel(yu_ocean=slice(1,-1)),\n",
    "                            'xu_ocean':fio01w.xu_ocean.isel(xu_ocean=slice(1,-1))}\n",
    "                   ) / DYC[1:-1,1:-1]\n",
    "dbmx = xr.DataArray(diff(bmy, 1, -1)[...,1:], \n",
    "                    dims=['time','sw_ocean','yu_ocean','xu_ocean'],\n",
    "                    coords={'time':fio01w.time,\n",
    "                            'sw_ocean':fio01w.sw_ocean.isel(sw_ocean=slice(None,-1)),\n",
    "                            'yu_ocean':fio01w.yu_ocean.isel(yu_ocean=slice(1,-1)),\n",
    "                            'xu_ocean':fio01w.xu_ocean.isel(xu_ocean=slice(1,-1))}\n",
    "                   ) / DXC[1:-1,1:-1]\n",
    "\n",
    "M2 = np.sqrt(dbmx**2 + dbmy**2)\n",
    "\n",
    "mldw = xr.DataArray(.25*(MLDw.data + np.roll(MLDw.data,1,-1)\n",
    "                         + np.roll(MLDw.data,1,-2) + np.roll(np.roll(MLDw.data,1,-1),1,-2)\n",
    "                        )[:,1:,1:],\n",
    "                    dims=['time','yu_ocean','xu_ocean'],\n",
    "                    coords={'time':fio01w.time,\n",
    "                            'yu_ocean':fio01w.yu_ocean.isel(yu_ocean=slice(1,-1)),\n",
    "                            'xu_ocean':fio01w.xu_ocean.isel(xu_ocean=slice(1,-1))}\n",
    "                   )\n",
    "mldw"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "be980a5a-919f-4c4e-af1a-091680d88d7a",
   "metadata": {},
   "outputs": [],
   "source": [
    "mask_coar = masku.isel(yu_ocean=slice(1,-1),xu_ocean=slice(1,-1)\n",
    "                      ).isel(yu_ocean=slice(1,-1),xu_ocean=slice(1,-1)).sel(sw_ocean=1e2, method='nearest'\n",
    "                           ).reset_coords(drop=True).coarsen({'yu_ocean':ncoars,'xu_ocean':ncoars},\n",
    "                                                             boundary='trim').mean(skipna=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "61767288-544b-44a6-ab15-4b6bd6670978",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "M2_coar = ((M2.where(M2.sw_ocean<=mldw)\n",
    "            * Au.isel(yu_ocean=slice(1,-1),xu_ocean=slice(1,-1))\n",
    "           ).isel(yu_ocean=slice(1,-1),xu_ocean=slice(1,-1)\n",
    "                 ).coarsen({'yu_ocean':ncoars,'xu_ocean':ncoars}, boundary='trim').sum(skipna=True)\n",
    "           * Au.isel(yu_ocean=slice(1,-1),xu_ocean=slice(1,-1)\n",
    "                    ).isel(yu_ocean=slice(1,-1),xu_ocean=slice(1,-1)\n",
    "                          ).coarsen({'yu_ocean':ncoars,'xu_ocean':ncoars}, boundary='trim').sum(skipna=True)**-1\n",
    "          )\n",
    "    \n",
    "M2_coarH = (M2_coar \n",
    "            * xr.DataArray(xrdzs.where(xrdzs.sw_ocean<=mldw.isel(yu_ocean=slice(1,-1),xu_ocean=slice(1,-1))\n",
    "                                      ).coarsen({'yu_ocean':ncoars,'xu_ocean':ncoars},\n",
    "                                                boundary='trim'\n",
    "                                               ).mean(skipna=True).transpose('time','sw_ocean',\n",
    "                                                                             'yu_ocean','xu_ocean').data,\n",
    "                           dims=M2_coar.dims, coords=M2_coar.coords)\n",
    "           ).sum('sw_ocean', skipna=True)\n",
    "\n",
    "    \n",
    "import gsw\n",
    "f = xr.DataArray(gsw.f(fio01w.yu_ocean.isel(yu_ocean=slice(2,-2)).coarsen({'yu_ocean':ncoars},\n",
    "                                                                          boundary='trim').mean(skipna=True)\n",
    "                      ).data, \n",
    "                 dims='yu_ocean', coords={'yu_ocean':M2_coar.yu_ocean})\n",
    "\n",
    "    \n",
    "MLI = (M2_coarH**2 / f).where(mask_coar!=1.)\n",
    "        \n",
    "MLI.isel(time=0).plot(vmax=2e-7)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "c3df0062-00c9-4ebb-bff1-cee36f6e1b0a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gcs://meom-ige-scratch/roxyboy/region01/FIO-COM32/MLI-30km_z0-MLD_fma.zarr\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<xarray.backends.zarr.ZarrStore at 0x7fa529ad4940>"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tmp_path = f'{SCRATCH}/region01/FIO-COM32/'+f'MLI-30km_z0-MLD_fma.zarr' \n",
    "print(tmp_path)\n",
    "store_tmp = gcs.get_mapper(tmp_path)\n",
    "MLI.chunk({'time':10,'yu_ocean':100,'xu_ocean':100}).to_dataset(name='MLI').to_zarr(store_tmp, mode='w')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3f7ff1e8-984f-4689-a8f8-de6bc3e2821f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f53b6b55ca0>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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0g5bHyL5AeJflj6+ULv9v3eRXlT5en0nGxMUAgDqnqd+/7glnSH+7d+gYjGW/8PFgsjS79+imLNWwN63NnmlK8qcz27qXK1GJtvKdhe/g4OAQBbmtew8l2cp3Fr7DfokUw5oZOj+SBnhKNbVwe/3+jV+mdGGV+H5tAAh7fmNl8ZF3vJwl0Joqk0Po0O5+1fnfj/LLbPzh2Z/4WRgRqmT2D9au0na/mPFUt7IplhNaYvhbHWuopUnfe4Cq/1Kno/ScGZNzjR8IHSBpB8Ib1mi7BbKS4G++0H5OM4yc0pqNMPzzRL/carBY89TjVD3H0ED57z/0XubPAwCsWh+fzXN0utxf4wu7W/1VsVqYZ59kCz+3de9fuwRb+c7Cd3BwcMiFWNa9h7xa+SYz2h9eRrBcx4iIniGi+Sa726EFG31sOAvfYb/BnhvO8Mur1+yIOD70XOF5l73bStxUysqp7VmQFkOEd4t1SqnK5vFXAKWsn5dnSe/RPQM7UIiaidR76Xu66XESe4xXL9NT/jN++PnKkOG1ondHZazrGT87T9Y9A+rVR497lr91f1RW7iHUWfcewmkmbuBvi7ljLHvPageA0Bmacz3UwGTNrFJb+/ndMJZ+1ZXA2BeF9//5uliJwgR9Lpa9gNCZl0WMQTo3zzGUPPs1lnXvIR9W/rUQSetIKhjQCyLP3gwiGT4CViaxZMJZ+A4ODg65MCuOde/Bs/KJqFa8dibF5okAXorR5FQAr7NgEoB0IqqTn3EngrPwHfZ57LnjQgDA9lkafPncsnUR7coNewsAEF5pBWnutLLYGSkB3qR+f94o/m6qZ+WCT4mUHuCNxg9vccWpgeVf96xTW9uqtDB3KM3yV5uoUu54nNZtNjIKUyzFXuP3p+MtP3q6Kg3wKmH78JI/9Zz6JmGUJbdANSW+gLxjAKi2cPjZbrdB9xmQli7/b7KUtmf+Lues0+feo7P0vfMXfd5VS8uU1C1T749OOteMpZH2Zz+nPbuRbDAQ07r3xwVCVaRgFcIDiaiXdegFZn7Bev8UgJsQO390PUhCIA/LTN3yvI47EdyE7+Dg4JALBKAUJZbIIfm78yEz3xn1ONFJAFYx81Qi6h7ncrlRKKqWbsJ32CeRPfoJfWP85jd+HZm+N+v1W/wyb90IAKCKalFThXQ9bqz98OxftYN0ESSz+eXINn56S9vFt0It3zOVsaJlV4mVy2s1mpS3m3iAyer3zv5bWDMpB7XUfnqKbz7UTa15b5+BLSub5/6ux2cIW4Y3qMXtWe4or3o/5K1SKmnUrOcz59WWUWpZ3GTuNTzrFz1eVc4na1+j3LG9AQCn31rVrwt5KwnruZO3z2CxcHiLjpvXmkjjsuWQTATxdwdQTTscwClE1BuSLrISEb3JzBdabZYBsEK1UR+SizvpcD58BwcHh1wgACFK/Eo04TPzrcxcn5kzIMnPv8s12QOSFP5iw9bpAmAjMyfdnQM4C99hH8XOd1U5cs4vwnI5IFU34Qa9ISvwlB5n6kk2I8eAt230y+Fv3pVCmrpiqZyh5dk+ZTZ+ejuqdL5k0QsdfLi2y1bGTnii8Nx3fzdBh5NRz1xDLdedZu9hzPvK4d9yp+w9XDrgaL8upd+tcm5llURm2wJumCHHD+oYeS8W2Fj2ZFn9vGGlFCwffqipMgmzfxsrBZuRVE/879Ra4weojhlDmlr4HrPJ3h9go00E67OAJb1MVQ0bKMrnVxAkycKPfh5RPwBg5ucAfAGgNyRH8jYAl+az24RwE76Dg4NDLgT24RMCe9uZeTwkgb030Xv1DCAzz4PMB9yE77BPYcvJwtle/88Gv65qVWG7nFGlrF+3+xPRcdn9sUa27vxXdOc3r1fLvPZhB/hl8rjmluVKVYWR53HYAYANYyX885d+XfZ3hkFjWaahVp104OUkujclTf36VFFWEqHT+vp15btIdOrh16kGzpCZsvqf+uhYv673S6KWeeJdyo+njhppS4ccaa5h+ebNzOXvHcBS5dyt0bDheeL/t1cP9n5FqLnEM/Aayw1tmDtUUa158pKq5IhcjpI0xcQj2OfanwGvk+uEly9EMhEKYL6XmMwnBm7Cd3BwcMgFQuG6dIoKbsJ32KeQ2kiszq1zlCv/1AIpX1xL/dCV54sVXqay+rVLVRYrvfbBqlNP5/TVzmeZjGsWv546C9OENysbJrxisdT9otmkUg4WVg1lKLvG49kDALU93LTTAEueJ37/8C9f+XXLh4q/3rPqAeCwSmKF/7xJVyZfmOjVE+vU1/5WasQu1TD1loXPO7ZG3B/KihWePUuZQmtvEU3+Ku0sXvzlV1vnyDPNsQLw9g9S1JpnE31sT5rsWfg2t37rBhnDQivad/4cLXuxDaWSOZ0RKIBLp6RN+W7Cd3BwcIgCZ+E7OBRDhGf/6Jepo1jIK0ZPi2j3+kqL5WGXDbJeHiSFdCuydbpy7rMnC4+91JUDIwdhs3T+kZy3f43VKNamXcV6LtPjFG1n+f3J+Kn9BOGAzzsPv6QxBbNNNqlnr1S2T8q1dwAALvhH9XUye10vBU+7PnffxuLm9bpS8HV6qqoGDoyVm/2KBo7+tkD2Ojpat1zt9RF6SuvW0l/TVlpXSfzvvMV67ptN+e/ZftWmj2Xv4Zs/NXI31UQhH91FV17l+hxvXc8wjSqma9+w4jDyASKgVBAffh42bYsD3ITv4ODgEAWhICydvTCOZMJN+A4lFrxULOiQpWPDVYQ1c+Q7Tfy6I8YJx33Kyz/4dSOjWPiZlz0JALizreZnrX3dBX45pY9EtFITzSzlKTRSFUs/y2SOamz1U/pk8fVTeeW6h3/+XM8pIxxym6fvaehQAw3C7DnoZGl3yQ3az3yjMb9KrfWeRkMeFvc+VK+pXs/o/fDKf/wqL8o3ZOnmeAyZlJ7K8e/VQphLdNol2sxSxkS22QOwtYQ8faL5uuoJTzH5dlPUeVKxu2jyn3Gl6gyFuoo1T1UtPTGbc+/HMyTP1Habtg4ODg77EQLRMkvYjO8mfIdij+zXH9A3tTSXqecXRiPra2wsv5RDe/pVWx5/GgBwUHu1uPFFpIXv4f5pFn+872N+Meu1m+S6ZSzte0/TfrcVVWrYIqlHdfCrQoeLhZ8jC9Ya1c3xreF2PfwqnwPf4UitM9x1O/IV64SFxJNUu+a088y1rYxWnuYMAJ8Fk6PO0xCKopFvP3dsF00hqmBp7pS3ZN7D8ix4h6U06h3P0NVDKN18fvY+g9HfzxEhbNhDvqY+AGrYQsteNHBZzVRWUBCAUgHsdyphNr6b8B0cHByiwAVeOTjsRYyvKVzxI7MGaeXieX6RzXrai3YFLCXLcmrtlX/kUQDAuisKFr2eecmjpvRo3HYerm6sVmrLXkbTvYylZ9Nc9wI8RcgcejYmAjVUS/nu7EW0cmTE7tT+Oq4UM1sdXF4jiVHTyoPbzMQD2Pr89Yxv3lqFeBm97P0BbJFI3PD8aXquZZH7mbDse/HGu8HSyPf6rNdY78Vky7LZPGwiaHOomNorCqO1w0nUxXc+fAcHB4f9CM7Cd3AoZGw78wi/fOTd5wEAMs++J+45w/pP88ubpgkbZPI81UsvbVYCo1dvRm5UK62Rn2t3Z0ccLwieXbRG37Q8PnZDAIdUEAv/qm9e9utCLQy/PNXyTZtoWlvvBuliuR/6wdN+Fc833Pb1lkW927KAK4gVT9WU+eKzYCy/Pxk2T6j7adq3p5GzTRUtc4zR8+1bPvVQRZM3oIYl++6pYNqrHo9xY+f7rS57L2RdIzxdGVdYLhHE1EX3bQoK4eEHFE8rQXATvoODg0MUOJeOg4ODw34ALwFKkHYlCW7Cdygy7LnpbL8c6nMRAGDbsvV+3aCBz0ec0yNdl/9n3igp/XiNuk5+/VtcOZ+s3YIgSLYbJ7+YvlU2YwccdlHEsaynLtM3hx4GIGcAlx/81bSdX0UZRtZgl5V6cZdKHPu+CNsVY6QX2E4uYuqoorUpW9lsku+wkpTYyd7N+ZRq0VdDMtVQaTtgStxKvmgbAHhlKzmM5zra8eA9ftUfPyz2y50uNIJzG/S7kwyEAtEySxZcikMHBweHXCAAKZT4FcSHT0SpRPQbEU0notlEdG+UNt2JaCMRTTOvuwrhtpyF77B30I+URpc17CoAQMo1msQj/NGLAIA7fl2K3Bh2vW7G0VEa4r/zjbcBAIM+nBlxTq+qal2OXbct4nhJQuZ1L1vvpDzspl5+TUqmzA1UXuWWUc487xwJTqzZKdpM5QnA2cc8UTdbtsAEVtmrA7KE2byAKztNob0R7Ff9LXLTX/W5zq/7dO3WiHYeWpfX1cHsbSrb8PoTX8c8pyAI4tIJiJ0AjmbmLURUGsBEIhrLzJNytfuRmU9K2lWjwE34Dg4ODhGggC6dxG1MCkPvr19p8yoSjU034TsUKjzL3pMlAIDQMWcB0IAaG1kjb9Q35cRK3zPmC7/q2tNvizjnugNq+OW/TOKPwrTqs966Xd8s+BsAkHnXe4V2vWgYaKUzHPCOBJu1HvWkXxdqZAKrrNSDvPpf7cAERVFNK9mLJ+VgJSkBefOSNT95KQlt2YZtm/T4ZvGl80bdWwl/8LqM+xH9LKPBo8lef6jKYFRsLsJs174xOe65yUSyN22JKAXAVABNAWQx869RmnUloukA/gMwmJlnR2lTIMSd8InomQB9bGLmO5I0HgcHB4digTzQMvsQ0YtW9QvM/ILdjpmzAbQlonQAHxHRQcxspfDC7wAaGbdPbwAfA2iGJCORhX8qgESbB7cAcBO+g48c/vqHzgcAhLqf7teFJ38DAMiMYq0nwt3tVcTrj8UbAABNT9C0gRV/kuQjX64PZuE/3ktleMs/PhQAwAtm+HVbnnjOL988YREAIPOCB/M46sLF8H9MkNkRff2606qlRbRrWUclE2q3E9mKUgeohY+2EuhFGZYwWW2RmbaTtHtCb7xbGUDh2Srctn1oFgBg8BdWGsIoqGRkkYf0V3G40AVXSt8/agL4zJveiNtPYYAISAkeePUhM98ZpF9m3kBE4wGcAGCWVb/JKn9BRMOJqDozr4nSTb6RaMIfysyvxWtARFXiHEsF8AOAsuZa7zPz3UTUFsBzAFIB7AEwgJl/y8vAHRwcHAoTydqzJaIaAHabyb4cgJ4AHsnVpjaAlczMRNQJssBYG9lbwRB3wmfmpxJ1kKBN1N1pAPcBuJeZx5rly6MAugcdtEPxg23VD7vhOD1gEnv0b9Q1330/daHKDC+ZtMQvb80WvvfYt6f6dZ+vi83yGD5Hk4GHXxNv5cCHrSQkY3vlPqXE4mMTh5D1wDl+HR1jp1csl/sUH750AgCeaCxtKxk6asoqiz94y6/68nUlnIwxn0HL8src6WtWZmlXnafjaWJiBSrod4fXrQQAbBtX9PZfElOY1wHwmvHjhwCMZuYxRNQPAJj5OQBnAuhPRHsAbAdwrtnsTSoCbdqav1BXAMiwz2Hm/8U7L87uNAPwPuXKkE0KBwcHh2KDZFn4zDwDQLso9c9Z5WEAhiXpkjERlKXzCYAfAXwLIE+hidF2p4noOgBfEdHjkL94h8U490oAVwJAw4YNozVxKGJ8W0MsNzsalA471i8P6HRuvvs+1fihS5+i1OQD6qnlNzQB48ND1rPiF361k1q4kzfvjNW8SOGJqAEafVsQvPDQR375qpP0s/DTQqboFODJC1OdDO2gmcxT4T9UrIzfGQkA2L1WBdx6DdLPqFcDI+dczkrS3kD2H6muSiF7HH97RYGt4souf561GvlKk9DsLQhLZ9+LtA064Zdn5pvzc4Fou9OQSfx6Zv6AiM6GRJNESN2Zne4XAKBDhw4lKDe8g4NDScf+LJ42hoh6M3MwkyoKcu1OXwLgWnPoPQAv5bdfh6JFWUNWDp1/vV8XfuvJWM0TYljmUX6ZzjFJsqdM9OsS8bg9v/HAh/v6dQ8PfgUAsHTnnminFCskw6qP1d8vx/X1y10/Fu9BDv2dMhKpyztVS8eb0qjZIX5N6MBDAQAp6Vbidpvv/89f8v8SK1lNtpFmtrj5Ho/flmjmzbJPmXnS4Pg3ZmFQM5GHPuAlZU893y3/K0sPgaSPS9iMH/ePGBFtJqJNkMl5DBFtJ6JNVn1cEFENY9nD2p3+C+Kz72aaHQ1gXtQOHBwcHIoABImiTfSvpM34iVg6FeMdD4BYu9MbADxNRKUA7IDx0zuUDNiMnOHTTQq9PeoTv/r6V/Lc51PnGavxBk1YvvkK4QTcNG5+4H4GvjsEAJB58o0JWu5/eGOVpg2scqGsyFoMV/p4qLmx9q0k5l6EbY5EKamG4x/SiNwckbaewmbT1np84Z8AgOzXNB4p5cprc7QHAB7zQaB7GXqWrjhSnxXmuJ1yMRnYb106RDSOmY9JVJcbcXanJwJon5eBOjg4OOxN7Hd6+CZwqgKA6ibAyru/SgDqxjzRYb9BqKFwqcNzlIcdjtU4F/o3qOqXyz4m2vfhWT/7dXmx7D3MufrhPJ+zP+KZheJLf/CeJ/y69JNMrESbQ/26UEdhXPk6O4Ba9jGc3KEmYn3zVtWn3zNCophTOnfUhmnp8r+X6hDAwMc0wjY3sh7VXAGhPsoKC3/9DgBg62vvxzw3r/BcOvsaEln4VwG4DjK5T4VO+JsAZBXesBwcHByKFvvgnm1CH/7TRDQMwG3MfP9eGpNDMYXnux+x+Ce/bs8j1wHIFbEaEAe9bbF5TCLrzBOujdE6GIYtTno0elycX1OeyWHnqocydN7lUqiY7tdtufoaAMBN3y9I+hg8ZtKcbbsTtIzE7ZP+8ctDzOyVNn+xX+dx8qmFZZmbDFuwAkFzaO14PnlLTTOljfjzd4z5zq9LXSef1YBbRwUaa+iCa/xy+IWH/PJbQ4W59fOmHRHnFAT7oksn4b6E4dH33gtjcXBwcCgWIKOHn+hV0qb8oDz8r4noDIgqnAuA2g9gM3E8ZH35NACgf8bhBeq7d1XJlBRqcrBfF/7kxVjNiw0OSBXLdcEOtaRHrRJ2yvvPjvfrhh4usQSh9j38uvJtTYRpIVj4nmV/xyG6rfbA9Lyrldz2i1j7w7rp57LnuacAAKXve9avo8o1TcE62YrY9S1/yzcPk8v2hs8siXe7HAfeitK26jPv/TDQuQXBfufSsTAIsnmbTUTbIffJzBw5Kzg4ODiUdATMV1vSZvxAE34S+PgOJRRZD2rEYvbot5PSZ+9LDBtkl/pcM694Oil9j1j+BwCgf50INnCBsSvO4tY+lnmO5Kg+qrIq4DYtlxpxTn4w7OruAABqozx079nZVr2nQ/TJWiuvbEDY+zFZWf0BADtuuMKvS71f9l6oViM9KQcnXzR2wuPVCl/z6md5GsNltdO1P5Mbd29Y9TaCpTgsWQic4pCITgHgxb2PZ+YxhTMkBwcHh6JFslMcFhcEDbx6GEBHAJ4A9rVEdAQz31JoI3MoHjhKte2zp+XfCu+Zrvrr1LELACA89btYzfOPXcGYGufWEG/kO6sTKoT4iKfFU6eMWrjLdwk75YeNOha7HBSXGyu33Wv3+XWhg2R1RGUr+HUjuomyZP/mGgfpWfaPdG/i1908PjKHcCJkZo6QfrqpyuXMIyV7Wfv3n/LrUlppvoPwXKNoulRzF9w9ZVmertvhR1X5zB45NE/nJgslbTIPgqAWfm8AbZk5DABE9BqAPyDpDR0cHBz2OezPEz4ApAMwyTNROflDcShOGNJV8g9QpWp+3ZOfBmNV2HjkyAwAQIXubbWylHztsj8Pxt0vZe2e7UlAEguaWSsvln08PNC5AQAgO1vHlVdrNhZeWrEBADA8vbpf51n2nnY9AFB1GUPWE339uswbRgLIn1UfDV4+XwAYduMJAIDtQ3SPIrWNriTWjZsOAKh29YX5v6D1mQ988NO4TQ+rJPsjyebhB4m0LWl/FIJO+A8B+IOIvofc41EAbi20UTk4ODgUIQhASpJ8+LFye+dqQwCehnhTtgHoy8y/523UiRGUpfO20bLvCLnHm5l5RbIH4+Dg4FBckETrPWpub2aeZLXpBaCZeXUGMML8n1TkxaUTArDGnNOciJoz8w8JznEoAfCCrJ5jdXNUvqkfAID/U5dA0AQiAxqqKFra1X2lYLtilkif2/5eHrefrHvPBACMfFwpfclOTei5nADg5h8Xx217oZFR6HqXJuLmlZJ0m2pZyUCmPJ/v8Vxu0RE9l86Azuf7dV6C+JQbNAgJJrnIjh+m5Pu6eUE0gbOsvposvdpRZvN4et7HM3ymkP+2Xt0v8DnJduV4oCApDgO0iZPb28apAF43bScRUToR1WHm+D+SPCIoS+cRAOcAmA0VQ2TIMsXBwcFhn0KyRROi5fbO1aQegKXW+2Wmbu9P+ABOA9CCmYtn5meHAsGz7G05hazvngMAPHBCZp77a3n8gfrGs+yX6Eph1++zAACbNyUQ+2okVMCzOmsC+8nfJjc52kO/qHhY1pOXAgAyB70ate2bRkah5Ztj/br0QZKkBTVU1iBr4kgAwIcn9ffrxm2wZAYMht15ml+m9HQAwJ03vx53vAOf+FoK3v8Asl4XslxKxeQEd+UHmWffk5yOjODa4LF/Jae/AiAPScz7EJGtDfKCycftI1pub2aeFdlVDiRdxibohL8QsgxxE76Dg8O+DwoYeCVtPmTmOxM0BRCR29ue8JcBaGC9rw9JBZtUBJ3wtwGYRkTjYE36zHxN7FMcShru76Tft1mX3AZAg4gAoFtlsSAnRAkiqlpKhVdD3VU0jOoLXY/Xrfbr5hureu7GbXHHwzOmyf97dAyP99LVQzKswA17NF0LLwgmbGZLCiOOZZv1jMoR9ClrrO+ylhVeS1cFVL8ZAOCBw47V8XzzMQAg8673Ivq+9SBNObjgfkkp+eS8VQnHnhvDf35D3xhZ4wGdCp4APC/w5J0BYN4Zl+/Va8cCgUBBZvwg1E2iGgB2m8ney+39SK5mnwIYSETvQDZrNybbfw8En/A/NS8HBweH/QJBxNMCCazFzu3dDwCY+TkAX0AomfMhBval+Rp0AgSlZb4W7zgRfcDMZyRnSA5FhbQmGuCzfIGkp+tTPc2v63FmWwDAhOcmRpx711lt9U0DDcKhhi2lULGKXidNRLC+XaJ+bS+RiCc3DADhdVIeblnUFzavGeheguKGFtrfwKz8cxC84B9AWSOZ10RKPtuiYG2ObeaXSx0mCUb4zz+1cWmxfO1UkK1OlJSSoXYqDsezxTNwvrXysp9jPAw47KKIuqcv6eSXr33tt0D9FAQ1SqssxdD5q+O03IsgIJQkMZ04ub2fs8oMIO8bZnlEXmiZ8dAkcRMHBweHkoNAFn7hDyOpSNaE75Ki7AMoc1gHv/zxOyIz7PntAWDjHyKGZQuF9amTDgAofYFyxamSWqR+XeUafrlabbNqsJQa2rWtDQBos01XAteMzM1cAx6ckdx9rCaZp/rlO14WqYf8JA8JygV/2XDrAQBvTI5ejgezuho+9Tq/KnTsWQCAgyZbUgYBLfxoCGrVH1dF0xp+vV73YzpWLAsgZ8yEF5sx/J91yI38CMvZqFdWprF/A8aJBAEhGMe+pCFZE76Dg4PDPoUk+vCLDZI14Zew23awEf5Nohu3j/0x4pjNyJnw69KI4xu3Gy79n9P9Oq6gfH6qYZg/2zf7dSuXRVqfqRmyAgh1tqLJJz4Z0S7Z4H//9ct1BhkL+ZJH/bp0i31kM3ryCy8xCZC/5CQeBrQ/0y9nvX0XAKByf11lDX9WkqrvekIjcq97O7nSLLZVbyNaNHQ0yz5ZuO2NOwAAO0Z94Nc9//HPBeuUgJQAPvyStgpImMQ8N4ioChG1yVV9c5LG4+Dg4FDk8Fw6iV4lDUGlFcYDOMW0nwZgNRFNYOZBAMDMX8c+26G4g7dsBABMm5p337UXfdp+8gy/ruxxffwylRNrP7xSmTZbNsuqwOZfh+qIFs2ub77P8xgKgj3LVvrl0tVECvr2NsqPr3ufFWoyS/Y1Mu94N9/XK4hVb+PiWqpQPuEaSRDS7SNNNM5LJSJ5t3W9rGev1A7qZwAAFt2qSW0m/rcBAHDR8EER19vy4jt+2ZZKLip4mjsAQNXrAQDKtbZWhx8fUeBrUBBzuITN+UEt/MrMvAlAHwCvMnN7SPCAg4ODwz6IxNY9EQXSzC9OCOrDL0VEdQCcDeD2QhyPQ1FgmrBh3kzA7DiqcqRWyzn3XgAAoMM1FWKOhNZbhc/Py1QDZ/422Rc4OUOTq4T/E7Xt6w07CABuO1iiSYfMTHrAoY8lv+rKY8lXcwEAZSzTrm712tq4oWj7jFih+xX9a2sy8bziNMuf/3EUy79XVWHBnHSfcuV5royR6tf36/bMkrrMI/rGv+DXfwcaV4c7VAam5RuPAQAqjVSNn6wpsgrb/soov+6xcfr5rrSis5OJrG+G+eVQxkF6QBLxgUqXTd7FqORtyAZB0An/PgBfAfiJmScTURMAyVWxcnBwcCgmIAQLvCppfxSCRtq+B+A96/1CAC6ytgSDV6of1kuHlwhnDzRa7Ffdpv2sWCz/f/uJNmytVi+lm0jWVWqln+CpX1oa+Ve/GMmqqNbErAAK0cJPFNn5TlSr+eGkXLvnBR398sfPRO5djF0nLJixA/Ovr58X9K4q6RPnb9QI6GFHihqorZW0LglspbzAyxGQ0lY1mnI42L3vUSndE0oGAqlllrAJP5APn4iaE9E4Ippl3rchojsKd2gODg4ORQeixK+ShqAunRcB3AjgeUC0IYhoFIAHCmtgDoWMcN6jEunw7lJIraDdvCtKjXtWrPXryvQ6S0/yrK4mqnJZ/hThaf9y71txr1cqvXzc4yURNrtmYBSrvijxxbqtMY/tLau+WTn5vszbrrkS2l11tBTsGXaXrkJ4l4kV2bYxeQOhgBmv9tFN2/LM/FuuB5C8OGYHBweHYgTx4QdsWIIQdMJfQ0QHwGjmENGZSHLqLYe9i/B37+f5nFDzQ6WwXrnrm38RhkjFLs39OqrVSMtlZTUQatVFO2rQAgDQNbWcX/XmZZFRtRv/THr+h70Km9VUpZT81F5fmUQr1ODM6hUBAO+v2ZygZdHBi22ocbDq+K8yukj1bu6rDRfOBwDsnD5X62qafMG23z4HSd748MuWQzIRRA+/pLl1gk74mQBeAHAgEf0LYBGAC+Of4uDg4FBCUUJ99IkQlKWzEEBPIqoAIMTMgUwJIkqFJDova671PjPfbY5dDWAgxDX0OTPflI/xO+QXlSMVLROinFjr4QUaVbt4sXD32/TW/qis8su9PHGepQ8AKCO++dARva3OIy38xUuTE5W6t5H1yg0AAGp/lF/HG9cAALoPVy65HXNQEBQHy/7RnqrtX+HSs6WwU3WY3rouCwDws6V26rGC6tXRnMWhw+U7UWaVckL4rzkAgOyPfPl4hH9TddEfP5Lv48pdCXIk5wEE2idZOkGlFWoBGAKgLjP3IqJWALoy88sJTt0J4Ghm3kJEpQFMJKKxAMoBOBVAG2beSUTJzWrh4ODgUEAE4+GXrBk/qEtnJIBXoVG2fwN4F0DcCd9kcfHMtNLmxQD6A3iYmXeadnlPxulQIITaH+2XvYxDq3cniJDcYyyo5Rqd+u06+XhbzVNef2i75acOma+Y/cPw6iyf67FGW/0bS4GxRjXjA18Rf1jJRkHz5t5+pWjbDJmp0ccp7Y4BAJQbdphfV+0DjRZdm+jZx8HeiEiOhivqaO6CydP0Q3rvggdjnnOspaFf2nwnxp+ji/se3wlzi3cpJ+T1t6cAAFLoF79u0qZIRc5kI1lzORE1APA6gNoAwgBeYOanc7XpDuATiLsckMTo9yVnBIqgWjrVmXk0ZLBg5j0AAn1DiSiFiKYBWAXgG2b+FUBzAEcS0a9ENIGIOsY490oimkJEU1avLiapzxwcHPZ9UFLVMvcAuIGZWwLoAiDTeEly40dmbmteSZ/sgeAW/lYiqgZl6XQBEIhuwMzZANoSUTqAj4joIHPdKpCb7whgNBE1MSsC+9wXIJvF6NChg8uqlUykaFTiqdWE5fGSnY0pCniN8b9aWjmVSsmXfrelw1MmW20BSjO+/T3qX+X1Yg16fm0AqJyifXqo0TBdCrP3jonv5Y4td9aJft0d/+l9Bc2E5enmb+7f369Lu1980vzeG35dn+qaN+DF5evzNNbHT9L5YvCYP+O0VNiZyrpWktXV0ReqwiSdcAoAYOsjz/h1N32/IGZ/icb82HHK3KrwmGjy8KI5ft19Z4vDwNbe2dnjPABAzdL6/fT09Z88Q1XZL7pItf9R1mjoLNDV2PMDH487tkQQeeQA7YLltF0Ow2pk5s1ENAdAPQDBPrgkIuiEPwjApwAOIKKfANQAcGb8U3KCmTcYmeUTACyDLFkYwG9EFAZQHYAz4x0cHIoFQimBffh9iMjOWP+CMVajtc+AJDSPzN8JdCWi6QD+AzCYmWdHaVMgJJzwiSgFQDfzagH54zeXmRNuiRNRDQC7zWRfDiKp/AjEr380gPFE1BxAGQBrYvfk4ODgsBcRMNLW4ENmvjNhl0RpAD4AcJ2Rm7fxO4BGhuDSG8DHAJohyUg44TNzNhGdysxDkSPtdCDUAfCa+aMRAjCamccQURkArxhtnl0ALsntznEoZGxSKYSfNsUOqbfBXsDVNqVLntdRUhiW62kFVoV1ic5bJLUdL1+sdebaofr6fW7TWCQHbIrhxN+WBRpXstD6osMBANS6vV83fnFWvvtbsnCDX2719adSKKsSvm2fuV4bn3VXxPlZD4nb4pvHP/Xrjn1UkphkRglUu79TA79852+R6SiXW66TD9fIZ/jhU+P8up4jRcDu9E/UpfNsi9cAAFeb5OmxkPWyJk0JHS9uGWxRl8+2W4SqesPHM+P28+la+S5WSoncXhz0gdKBhz/wmF+mUmUAAOF5yfSQkE8pTtQsUG/CUvwAwFvM/GHu4/YfAGb+goiGE1F1Zk6qIRzUpfMTEQ2DMHP82YGZ4ybJZOYZkOVL7vpdcIFbDg4OxRmBLPxAbh+CMBrnMHPURM1EVBvASmZmIuoEMZDXRmtbEASd8D0umb1zzBC3jEMJRPhbX+0ac7bF9s5dVFPFvkLN5G932BJPq3Cmschrash8+IfPtINK6fL/7l3aT5cTAABk9TNt0YaIa0dLChIUDcrqV3vpzmCyT1RXwv9DLZQ0tnxn/umSryxTC/eJY0+Wwvgv9XoZLfzygIayYZwj2XcZsVyPHXyKX7XpZU3U7eGpCzsAAK57c0q+xwoA324QQbJvu13h1/WpLkF0w3/WzeZtQyQx+qzJmgCeF2h6DG8lyOuUJrr8L2Fed7PkJiZs1MCs3Li6tSaeeXBG5Gb5gJbH++Vnr5Dpadu85G7uB3LpBLPwDwdwEYCZhrEIALcBaAgAzPwcZE+0PxHtAbAdwLmF4fUIGmnbI3ErBwcHh30EBCCKWymyXeIZn5knIsGfBmYeBmBYvDbJQNBI28isxkLLnMrM05I6Ioe9gi2jvoiou7FlLb88dbm4FDtfrvIASBVrL8WygLm58XeHVT6X7EQUhsLJe9TC58WyFdS/07n5HH1iBLXqbVBns2AN6c9i0F1KRsu87e089bcjrAbalLPkJ9ThwUv9Opui2PyoJlJ4Uy18NrEndjrDW39eEnGdldP+jahLFnxf/2GaZjFr3AgAQMf56jNfPlxXHrVWDwEAhI7U707j4fcCAOo8rXPahE9mxbyuLbI2rLushGLJSXvJc7KeG6iV46dHbRsUBNonxdOCBl51ANAPwh2tB+BKAN0BvEhETgPHwcFh34JHxE+YAaVkzfhBffjVABzKzFsAgIjuBvA+gKMATAXwaOEMz6GwsHr19oi62k2r++XTj2wqhY0aXxd+SyQDUFlD6lFNZJBCrTWAB1V0pcAbxJ/bv4m1Uiim4B/Fv55tBYSFLtd0jlkVJUBt+Utj/LqgwVivGlnkFTcpPfuUqV/55bJtzDbZm1YyeC+A7RDr2SIy3eHM/3Iz/AoXmcdIQFnWZ8qUmbnMDlATi7v3B2pln3i7JMUp/+xLfl2dscKKWh4l6fm3lqRFrxGD5XpV9Hs37DHdJ+pY0cg1pFXM453ERxALv4TN94En/IYQ+qSH3RDO6HYiKnxRCwcHB4e9iST68IsTgk74owBMIiIvU/XJAN42csl7PTzYoeCYsVL57l7IfepJFulqrVi528ZP9atKbxBGbqnG6lMmI5kQ/uNZvy7z3giacclABSPrvNhinFSv65dDZ/YDANQ/7zq/LmvqtwCAzOOvCXQJLzE5AJz0oWoPhs7NBKDJTABg2++SDKRiprJ5HugsXPs7flWe/Zg4qQljwWMx5Wevw0PmyTf65ceO1zF+8pUkL7FTJvZeJ3sT4S/e9OvueEZWCpn9Ivcq7XvqVc5Y8HX0s7CZZXNMasN3LkpOcnlBMK2cEjbfB2bp3E9EXwA4AvK3rx8zexywCwprcA4ODg5FhiAunRLm0wlq4QOiYb+JmV8lohpE1JiZFyU8y6HYYH5LjWytWVo/+gsPMFalFWFKlcWfX77TEdrBWuFS8w/Klsh84BOUFLQuX8Yvz962K+J46MSLAeTkj/uCcQA2XyfRor/PVsmnw09uDQDIGnKeX3fDHe9If1bfx1WRmAM7tmD3FI0cLd1OVlI9bjzVr5vypPipO6XoZ1XlOsPyOa9gYopXHiIsmCpdmvp1BUmqXv5Ea4/GWPg901X+mtJk9WRb81nPXx2s82liW2YviR95vSvZtPXk8fCLDYLSMu+GMHVaQHTxSwN4ExJQ4ODg4LBvgQAKIJ62T074AE6HSCT8DgDM/B8RJXdL3KHQ0I8qxW/gSRsf0bfQx1IUuPUgsWbr99OI1cyBwnY52rJCPQ0gqqkp9/gP1ZAZ9oskfrH93u++MgkA0DNdGSkPniKJTcrU1Od+9Qs/RYyr9IFN/DKlpcv12nby6w7qKn2Gp//o13kpAO9ur/7/e6fmnYfvae1k3al7D1kNZH8g88bX89wfr4rMYeRF7gLA6Qcfakqj/LrMq55FIBh2VKhurQQNk4tgLJ2SNeMHnfB3GY0HTw+/QqITHBwcHEosfJ598QIRxU1Gzczr4h0POuGPJqLnAaQT0RUA/gfgxQTnOBQhElr1+xFSU03ij7KpEcfOePwqfWN8wFRG0/BteWm0X47HaLGt2W/jKEL2qqp9o51GLFN6Dfm/lq4uyt1cTYb1o+rvoENPAEDNOzK17nSNFcgrvrjkHr980szxAIBnFyz06xKpZHp47ekv4x5ff79k9DulmtqKnjJmIoROvwwA8PYhxwRqnzQUTwt/KkTHLNqFGUCTKPU+grJ0HieiYwFsgvjx72Lmb/I4UAcHB4cSASKAAvDw9/Z8z8yNYx0jonqJzg/M0jETvJvkiyGcNR8fd08RdsfBc0ZEHsxQ5lJ4gjCOUk76n1+X2qSmtv1xcb7H4Ck6hg7UtH+Y+Ydee6pJgHR0L7+OSpsVSWdlwIS/fVf6OU5T/A09W1Yh14+eludxfW7x3de3PFKG0Diu1yAqvDSEAFDeWMbbLC0hL27AUwUFgKd7S5rGa9+YHNFf1iOWevoOGeMPcdQ1CwVJkkfei/gFRoEzFuJO+ES0GSaPbTQws5tpHBwc9kEETFJerOb7xKOJO+Ezc0UAIKL7AKwA8Ibp9AIAjqVTxMj+LIrF6hATM7cq9/7BLsYQWqJJureMlAjhyif29etKtT9EO3jtt0DXqWeiWG97RpOYU9uuAADeZKlh/vCtX94zXxhApda9pR21FrYP6mdoHYmbITxe1SlTh8p2WuNPu/p1i3bkPYL2501iQf8cUB/IRqeKmsnr7CPE6zDY0sPxYOv9Z51yHQBgxGOqr8MrF0vBTnq/M1L3aa+gePrw4yFhIEJQl87xzGwrOI0gol/hRNMcHBz2RRRTHz4RPYvoEzsBSE90ftAJP5uILgDwjrnYeQDynwrIId9w/vrkYMVK0bRJb6ikhrTTTZ4fo+EPADx/fp77vu1uUYYM9ThNK41lzqsszvxutWIXTBILv3IljQau00L0aUJtu/l14UWGAfTHL9rPZsmsdeMUjXoecNCJAIAW5TQ3wdztsTObFRQXX6ljXDRmWqBztgx7FQBQufsZfl14tYmmXaCrg9BJlxR8gPlB8fThx0trljDlWdAJ/3wAT5sXA/jJ1Dk4ODjse6BgCVCCzPdE1ADA6wBqAwgDeIGZn87VhiDza28A2wD0jZYznJlfS3zF2AhKy1wM4NRE7RwKD0Vl2ZexrJxHLxCtndtGqYKmzcQoSXh2kaiBPvmc6tOXPUVy7dqW3aqJfwfq7/5ODfxy6JIbIo6HfzYZxv5Rjjsd2MovH3i5bInNeVGJcHW2GWXNbLXMQ/VE+ya8/B/te+oEAEDKCVZWKsNyybxZ1SnPspQ431ujaqn5xXFVNKaAmhzgl5+Y+3Wg8z/6Q/YKLryrn/ZziOyZLH5acy43bi8spawHzvHrMu94Nx8jziOSZ+HvAXADM/9uFAqmEtE3zGwrDfcC0My8OgMYYf7PNST6NN6FmPmUeMcTsXSuZOYXCtrGwcHBocQhSRY+My8HsNyUNxPRHEjmQHvCPxXA6yZx+SQiSieiOuZcG10BLAXwNoBfg41AkcjCv4WI1sQ5TgCuBeAm/ELA3rbqs+47yy//NEyyMY1apZmMrnszoYuwSJD11GV+2ctLSw0tvrthfCzu3cevemT2CgDAoA9UsfLsH0T89egTNe9shYrqU4+Hqg9Z0a4pxm++WRkp1FJWR5yi+wPYpsqZOLgdAKBRC+Xmezltw3/8oO0qGx675f+H0YvnzWv9qtAlolV/25vj/LohM3XuqFZaxnHf3Zqz95uhnwPIqejpoW+tyn653Qmyt7B6mqpXPnpD3gPvJ20S7v6JUxf7dXeOEN2g3lU1Irex2VOho0+yzi5kCz/gpq1ZBfQhIvsBvBDLCCaiDIgu2a+5DtWDTOQelpm63BN+bQDHQvZRzwfwOYC3mXl24sEmnvAnQJKdxIMLxnJwcNjHEFBLR5p8yMx3JmxKlAbgAwDXMXPuvJSxpBJyVjBnA/gSwJdEVBYy8Y8novuYOaEaXSIe/qXxjjsUDsZUq1PgPv5XO90vv7JiQ8TxR3s2i6jLvOu9iLrihqyRmmUJVUWzf8ktQ/2qR697OfcpyPrgfgBAw8du0rq/xSAa94BaiqNXi1+7x/oVfl3aiVY+gAmx0z+EWqm7lcqYCNlajfw6/lv2PbYOH+nXlWuq6o+hCyS6t/z1A/y6XS+/AgAo0ytd+04TS5urVNOL75L4gvB3mmksdJTYaQ2+/tyvy3r+Qb+ceY/w+BP5wmuYlcDIlZrbeKSJRyhlTYi3tdNsVDW7ij9/YJa1MomDqid18cvDn5asVWRlGqPqkmGNt23EXkUSWTpEVBoy2b/FzNFSwi0D0MB6Xx9A1IAIM9GfCJnsMwA8AyBQmrm8JEBxcHBw2H+QJJK9YeC8DGAOMz8Zo9mnAAYS0TuQzdqNUfz3IKLXABwEYCyAe5l5Vl7G4ib8YoJpDTL8cq/bxZfe+3j1qXu86kTw2CKe3rkNTxceAFYt0xXl43+tzNNY9xay7hX/cujia/06/k9ZLsszbwUAPPrnCsRD5hmy2n7CZKcCgPLDxXruecQJft3R78rqIPyXtVdROT1u314uV6pgtTM+Z/5Xc+NuuFqYO8tXaE7bA/uq/zzUVHz4vn4OgLIVpU87OpdaiTVMNTSvcHie8fuXU9ZMeKmwi0JNDtZrDLjXL4+4VMYTnqE6/fy9sGt2Ldbnmb1F/OylKmvegJSKUg5V0T0m6mKthGrL2B5fpJnBBn8xB7FgryyHmdy3pe5+ThuEjC+9VLD9lKSACLD3W2IhUBpEHA7gIgAziWiaqbsNRveGmZ8D8AWEkjkfQsuM5V25CMBWAM0BXGPJP5B0FV/uxk34Dg4ODtGQJAufmScige/HsHMy47Ux7QLsJMdGoJOJqBYRvUxEY837VkR0WaLzHBwcHEosvCQo8V7FTD0tEYJa+CMhuWxvN+//hvCiInfIHALjnzYt/HKbDzS5c6hZBwDApJYdI85JhGiunEe6iZjVmlXqTihubpybWtUGADT+0Eqvl242Na3Ao/CXH/nl+6flTeTrhs+UuZZ1nPnq1tON1VXjRLagzrX3+3UTL4ufdKP8tSaBiiXH4Mn5ht9Rt8TmzXIPB950tl9HbdUNwv+IyyO8JEqg1x4VQguPzoo4/NFdElxlJ2GJhmibrLX69vbrQmf1BQCUq2tJrpe1ErZ4Y11o5B3KqPuJ6mngFbbI5mr5hx/xq0YMl03m/hnx02APfEpopCMGWhIU5SQBOrLzLgiXbxDUlRS3Xcma8IMuD6oz82hIWDCYeQ+clo6Dg8M+C5IJP9GrZM33gS38rURUDYYXSkRdAOxljtS+hyp1dX8l1PRQv8zbZUPVpsIVBGk3imvw5pMGJ6W/vOCGFjUj6hp2yQAAlLpEE41QHbEqebdKGGPBNABA+DNNMzjwYaUZRsPQsyQ0v8zhHfy6zChUTV4uBAhqd5hfV2uAbJKH31Y681urctOlgSMqq2Ubat/TuwPte+sGAED2P2ql1mghKQyxYYO2+8ySQm4ntE5qqeOmqmaFk6KblbxMVgDh90f6dUFF0faw0rrv+92M7Xc7XkjKjxyZ4ddUfFg2enMkdv9rmtQdaq1QFunqae11EoRWpYduGFMtuZesL5Skktl7UMyxZj91t18O9b9F+qhaK1bzwkHxFE8rEIJO+IMgtKEDiOgnADUAnBn/FAcHB4cSin3UpRNUPO13IuoGyWdLAOYyc+Fpre7j8CQTRvyr9D/PKgSA3fdcV+BrZA2zknMHoZcV9Hrfqb+aamr8CE8ygdipSuujFm3lmJXYgv8ygmw7NI1deMJ3AIIn0gaAMiceZ/qJ788e8ZRIR1z212K/btCHsZOP2zjvTfXxU9lIWYPw3yJyuNtaHXwzUYK2vrSkHHJiVMzrZY3QYCwvJePfozUyv6mRQI6XZD0vuNlK5XjuaVcDAI4cqgQS/kskYH66RVcHo6KshLIGnOuXFz4kIo8NOsS6/5wIb9HvQUoF+b3w4tjUzuQjYKRtCUMi8bQ+MQ41JyLEiBhzcHBwKPnYDy18T0enJoDDAHxn3vcAMB4JwnmJKBXADwDKmmu9z8x3W8cHA3gMQA1mjifSVmIx1oSIf2IJUmU9L1aTLa7FlpDWNa9MKviFt1sW7oypsdvFwLA7RA174AOfxG2XNVT88HYoPE8Zrw2M39gTDwMAqiJ+/Rw5Q835YcuK2/jHkjyPG5tl32PKA/ElA2Zvk72CDYv1M8hsJEySmRs0sbf9cz57kIh3hToe59ftGiQyxEn5zGIgs/9wv+ylT/w3oDV/UU0VPeuSpbLNmWfdFej8Mevke3lUM/XHP/A/SXS3fFd83sbVfR/zyzXKyCqz7r8bAl035RKL9V1OZJ35h7GBzk0GiAAKMOEHyntbjBBIS4eIxgBo5YX6ElEdAJH8sEjsBHA0M28xWhITiWgsM08ySQGOBfBP/C4cHBwc9jb2Q5eOhYxcug4rIaG9cWGixzzTtbR5eVSBoQBuAhDfhCyBsMXPUo2V0Lq8Mi1CJ5wHAOC1GsI+4NBY3rO8IeuxiwEAO35Smd0UK81dUPzzYW711hioIcwJ+15QS6390EGGBWPzufeIdU3lrShww2MPVVJRsCoXmzR3vwZP1p55dd6Uumt0Us55rRNlVdNqu2Xh19PjoRadAADZn2rS7cK07KPBs+xPtOSDP1+3NVZzvLFKmV617wpio+XEI3ecBgCgKsqQSWTZewhb5WPSZbwtM3TF8UeUmJFhg44FAISattV+ZhgRtlJ7WRgguFpmiUHQJzieiL6CiO4zgHMBfB/kRCJKATAVQFMAWcz8KxGdAuBfZp5e0pZEDg4O+wn2V1omMw80G7hHmqoXmPmjeOdY52YDaEtE6QA+IqI2kIjd4+KeCMmmBeBKAGjYsGGC1kUPj31zlMXT7t5Fxn3MyxYLwyS0XnZJQumMQHjiNPWv8kax6FLb6gLMk8LNC+IJkg27TVMkhLqdbgr6xaeyFazWUs87dI+C15nFYuWd2qpaPfm/UnXtu88VAIBT73rDr/skSnKO/KBLpbJyjXbt9HptJZUeVayqDS1F8uzPRXAt839PJGUMNh4035PVq3Xv5akFq2M1j2vVx8Jjc/IeXc1b5HlP6553FnbPdGVmHT5E9npCxylz58nrrwSQMwlN6ExZoYZnKjOLf5YUjtT6kDyPId8IKp5WwgzWwGskw8jJNyuHmTcQ0XhIKq/GADzrvj6A34moEzOvyHXOCzDZtDp06FAyk6c6ODiUTOyvLh0i2gy1dcpAfPFbE0lxElENALvNZF8OQE8AjzBzTavNYgAdSipLJ/udx/3yiBXTAABkybhyWDyZ4Y+e9+vmPfoOgPgWXBB4Vmr5ocri+Ly9yP0edUjtAvUdDZ7eTco1Fg/dkwW2dU52q+XOLPdPqWr1hzfIffOSuX5dypFmpWA9O0oTS/v4b1RfZ1fPC/3y2HWqDRQEl1tJYdo9KomzQ8dqYmwybJDwP5pqdECbuDmh4+K+jiphXO1eE1U683e/bslr3/rl2ycVnLtgJ71ZuUvCZPKzErAx6EmJo9jFebe3DmtirZRatJH/rb2ccs++KoUPlMH1X/+bAQB1hz/k101+cTwAoEbVvbtfsj+7dCra74noNACdApxaB8Brxo8fAjCamcfkdZAODg4OexWBI20LfSRJRb62vZn5YyK6JUC7GZCEvfHaZORnDEUNXrUYAJBy7Hlat1P8ndlvqF7Ir48LCen1JOniXN1YfdytfhELcdM5p/t1PY4UVskNn+QpEU5M2ElTGoySVQqlVYl/UumyftHjMvM2KxLzX8Ovr6gLRN64StqnW3opJhm4ncTjlN++8MsneYk/1muUK0zqP6qToWPw9gcqKEMEKfLV5y3r/aotF4o1P3iMWvj5QdbbhuO+Woltz50lP5eZW1UrKL2UTihn1xCbqtvz+rMKte8hY/x3gV834LCLYl7XTmVZ3uypZL15q1+X/f14v7xownwAwO49yqUZtth6jgaPXSyKrdeatIaxUMlK+L0pW/qsUEm/B6GGLaWww1pxmBXV6dXT/KoHposCatbPmnzd15RK0m8oGGi/DLwCEBFxGwLQAVES7Do4ODjsEwhq4ZcwEz+ohX+yVd4DYDFk83WfB8/XKFXepfoeMBZreMoEv+qjW8UnmUiXPD949grhs5e6Uf3n608Xi3TR4s1+3YvLYyfaToQTqqh/9eTXTTo8K20e1WyU+xSfU49Sas2BLQa2p35J+uOhlu1yHgOAkPkq7rEkmjy/cYrGEdiqjSnV60X0nUOX3oPZX/BUSAEg/IYkPs+86Y3I9nnAsJtFT54OVgbJgrtEV2jkIt2WuqW76MXnSFx+pq4OQwcZ5Ulr/J5GPm/QvZ5ht0iqy0SqodvC8uwyL3wobrtjLCZNNCSy7D08NEaZS5m9rgcApA2y9Jw83/0Giylk9PQ/WhPJvLr5ljcDXRdQ9dLzHrzEr3t+4OOxmgdHkjZtiegVACcBWMXMB0U53h0Sj+T9eD9k5vsCjzMPCDrhv8TMP9kVRHQ4gFXJH5KDg4NDUSNopG0gC38kgGEAXo/T5kdmPilIZwVB0An/WQCHBqjbZ+Bx6m0cZ1nAX6/PG0PE9tdu2BOO01KR9br6c/kX+Xvbv7lmYPJ6bJaPSNpoOPWvSBaEZ2UCABm/N2zGRjiKZ8+20o3nj8paapn1JEaAt6iOTfjPSRF9h0zGL6qo0bfRLXgr8jPKjzQ8V6zUAZ3Pjzw3Hxj+02t+efvDoitzwyO6t+D5s4dc3cOvC10huQhCdZr4dfaKMTxGVoeTb3/Vr/t+o/i7m6bq53uI8fXfcYhGM78xV+yuJTvyrpY5rgCr0VOrqe9950s67mevlKxWKYcpwynsZfR6S1VVBz7xdcy+K1u/ly3Z8X8vEzfKczyvfFrcdnlGknj4zPwDEWUUfEAFRyK1zK4Q0bQaRGRnK6gEoPA1dx0cHByKAoS8uHT6EJGdSeYFE0OUF3QloukA/gMwmJlnJzohP0hk4ZcBkGba2dTMTdgHE6BEs+pt5NWqt5HIqs8aeaNf5j+FYZN58cNxzxnYRBg7zyxMUgiD/QX3LG0rnyrvkvu3rfWoVpDtwzdxCDksc+O7tRVC+UdhZWQvVWZLqSY/SuFgJXrRAeoC9fVdLB8+rxA36He9Lvfr3l+jexx5xTOXdfXLpW+S/ZMn2/by6+ZFyTY15BZZmadcrp8pVZaxhucrD3/DtTf55WenSgYqW6fGi9g+qqmucCo2Em47Z+tKqH/FyBXezL+FfRQtY1eyYEc9f2JFy474Syz37Fd1/2DCoxKYP3p1/M9iYIbca8u+3f26oJHitj5/wZEnl86HzHxnAS72O4BGRmSyN4CPATQrQH8xkUgtcwKACUQ0kpnzoVXr4ODgUEJBe4eHz8ybrPIXRDSciKoXRjBqIpfOU8x8HYBhRBThrGXm/IchFjESWfOJcI7xpTavpwuf+6f9F+jcrPdkA97WiJ/QQzVG3o1iBXkMmpMuPdyvG2iiIJMFXqyrSPJ40xZLhzfI94/KWXz20l5krP31sPK7hrNNjX7VPC2dZedqTtuqDdIBAL9P0TywX6yTjGA3dlCmSLl66X55isnMFC3bUkGQ9YOVA9ey8vq36BmltTnH2m8JHSfsG7LiEbInvA8AWHzb037dmnXqwx9kWDzlT9drhI42bOjKNXQ4XvyAFdnM/wlPn798z6877ARZWR3WuKlfFx6veoc3vPQLgPxF0CbCsENlhePlHACAtJTYk6en8AoA1Fue3fOd8k4CTOr3ILCWThDqZqJLUW0AK5mZiagTZHsuMigiCUjk0vE4a0ngODk4ODiUICQpqIqI3gbQHUB1IloG4G6IPA2Y+TmIe7w/Ee0BsB3AuUZaPulI5NLxSOhtmflp+xgRXQtgQuRZxRsFtew9+FZ4Ap+kZ72kXHWvVhoWS/a4d/yqSlG0vh87ThUvy/cWodLM616OaJcIt7cRRseDM+KvQMJvKIMiZfAQALk06z3f+261TMmz7O0glbD6oamU+Jd5o3LJxxi9H1vnpf8G0d9Zs1stV2/fI6fOTHLz5XjPBgDqfy5+5vAnr/h1mQOfjzjnCEsN9fzvRQU1dICl5Oh9vn9otOiuUZKBK2yxmtpfabF4zu8v/9uxDp6FGSXOgKx9Emoqexx8uX5fwrOM2uQO3XcqdavuCT19v8kTu3qZX8c/CLd/9y+T/brr3tS8y0FhW/YePKbNuTX0+3TkaLEjKU1XjANa90IQPN67pV8ud7oR3l2p2ovP3/FS7lPyjiRF2jLzeQmOD4PQNgsdQdcjl0Sp65vEcTg4ODgULxAlfpUwJPLhnwfgfACNiehT61BFFJKPKZngFeLbzM66J999XN9U/adD5wdTtxx6llp7ofMkf2325C+1gYkw5cm/+FWrdynbY0hXiSYt36ODX5cfy95D1UZG+yaBhT/+bY0q7tHG5IStrYqPPi/ezl7lsW9yRMiq9clbZQW0NVNZM9EUHFt0E3560826evg6SXpAHq6qqxpAbfqJrzx0lZIrtvY9GwAweOxfUc9/5MgMAECld9736/wYAev+ebVZhUz8zq8rXU8YVU0uVrXP0KFq4fsa/DabyfPTp9gsHLNCoMh2VE556Cltpe/wQmXP8ErNMBVqJqsCatRK+7lIyqFTrL3CN4NoJAZHx8N1BeOxvQZ0PCdW8xw4ycryVe64w7SfLiZLVm3NToaCWviS1DZYuxKERD78nwEsB1AdgJ31YTOAGVHPcHBwcNgXsL8lQDFUzCUAusZr5+Dg4LBvIanSCsUGQdUyu0CkFFpCgrFSECABSmEje6IurUNmaeon5AB818LAB/KeJ91LzxbUjWOjzOHqiulfv2PMdg3K6uPvka7L1Ul/i7fs01tHRZyTH5StXzVxIwBbrc3WdwfLZmVp60vfu5uhDg7XMHqqbHLZlLHE07Ity2iXhO5nb4wMWnumb2e/XGqwkRS2yAlZXeT+t36rtMxZs/TzyDZt27TQ+0s734iZHaI2Cv9rNKm26xhCx4vMwsYzVBfwlomRoSZZnz7il1OOOM2cbN2f98yy1aUTXmhcUQ0z9Hqnm/SJltvBTgrji8fZk4x3HatvP0GMTeLwXD7hPRHtqOGBfhUvUdln3i5BU2Tfi+fCKKOb0o/2kM/8pu9VorkgsL+L4U/eDnROtdIyxl4fPeXXeclqAABbRDaZ1/6LpIGw13j4exNBtXSGQRKXvweRRr4YkpTcwcHBYd9EaD+18AGAmecTUYpJSv4qEf1ciOOKwJKpf8SlVLYwAmKbLKElO0w9r0gkcdzPWCp1ausG5jfzZLPr94eDhYIv3akWWbISpETDwm/nxj3ePk2s8xMv7+bXDXx0bES7cWYTtcv3R/h1l0yXJCxekpEImOCjcs01kcqlJuw/5fAu2m6nPG9KS9e6nhJ8U6GWntvhByu5tfmsS7Vt7dfREWLh57DC50tAWejoM/yq8OtCCbSteu87dO04pWVSfY1w552y2UzlrcAzI9wWXrlY64ycBHXQ5xmq69lHFNEOAJDCkcc9C9OOefQ2xCkKDdbuzwt4szfYazbQskcDts/xLpei00La47LCaXCYBgba39u8InTp1X55+WXXBDpn7W65l1CGfs45NrK9pCr2vRYYFF2oL6LZvjnhbyOiMgCmEdGjkI3cCgnOcXBwcCiZCOzS2Tcn/IsgfvuBAK4H0ADAGXHP2MuYG0XEKtkYlnmUX6ZuRwMAeMYffl3bNWJ9RksVt7dxfye15u78bWmclsBlEyUAjKppEFJWO9l7yDwvMg/DpE2apHzaAfJMnpym+ySh+i38MhlLLKV3b7/uUOOTRT0ryMgkUgn/aKU8XmbGXdZKlVe3pp6yyPhsU1XMjRcZeYipv2o/9c2zsNLrZd4YKU1+zWgJNuPvNbnIjqkqN1G2vViY1ONEvb8Gcq88W/cZ6MBDzVgtr6cJQLPF6OwANXhSyaUsyzWaX9/33Uda8zmosZ4Fb1up5XSF7FvxOYK6TNmy+qmWfEa3/qxBgtvvlyDCGz6eiaDI+uyxnGNFcCkSD+GPlJocOtdaHVQw97hpHZKKQC6dkoWgScy9de92APfGa+vg4OBQ8hGQpVPC/iYkCryaiTi5a5m5TdJHFAMVU0LolpaKCRt3JG5cSKCTdVETatsdABC29gyGLc47GyjZ8Cz7RFZ91gMa7MIrTKCQlUgk1F0So2d9pIyNzNNvi+hnh5EKeKijpj2+9UdNTxcyYf/UQnPlhIxVSdVq+3WepQwreIhXvCXX+Hm6X7dns+6tkPlBlpr3t1+34XVZIcxYuMGv6/6DsLn+PSMyAUrWE331zSoRdZvyjO5fdLjVUgGvJfsUvHS+jsFLlm6ngjSpF9laUUQNrLLgpV+0fe5sLHZbhM0/314JRGHX+O1sCQabFRRtMvNXD5Y0gmFZYZeu6lIvEaWA4TerYBxlqNRBeKJZpVXQzzLUQYKj5nY9OvK6FqqaxCfrosiJ28GHWQ01kQz+lJCg++57P/cp+Qdhr4mn7U0ksvALPeWWg4ODQ7FECZvMgyBI4FWxwObscFKte1vE6Z3VsWVVh914gl8OHaTh3DCMDdSsg9xI1LcnnXDbL8kRAuthJaJOZNn76Npdyz+IzDIfdaxfRfWEnRLqdJxfl/XsYgBA5tWRyXxs5sbIY1R6qe+kj6U/S+KXN22Q//+ztPc8fnl5i1/d0HDWf1WJhXl/qZ923nb5PkyIwhEfeq4mTeFV8pwfmB7pMw6dqFb/tpslqVuHl+7Q4x1Urpg9mQLLUvalFSwBMD3BkpgwHHFK11WNbWVTmpF9sP3nxofPuyzG2G6xtKmCdT3P2re5+XuiMNRsMTCvqT3G7SKDEZ5jJS6f8JU5Zq2suhiWViUrvsPaPwi1M3tdFfR34Fn2Ty2IjGsZfKAmdm/89O0AgK0Pq1ZjtBiAzD63R9QlF0FdOiXLpxOYlung4OCwXyGQhe8m/GKN8mbnPZrlfUo1tdw+XWs416cq/9j2m4bHip+aWkXmcY+3YgCA9BFivWRNUQs38/Kn/HIZYzUETU7xfT4SUW8dotJIFU4wKxc/mQkATwLZktf1hNQe6abRojdPWBTR92+b1d/b5hjx97b/8SO/jqeK/O6WP/Tcii3bAgDItvANc2W7ldjCjleI93zK3qbcgsc69Yk4nvXMFQCA8PLFfl3qsSb59uGafIPX6arAkyinHEwa4+e1nhOvXymH6loc/o1Sx5tVmMyPUrZhceA9ax4bVlrjkXJ4jbVa8SKI7YTyFcx32V55rLes66WLpb8Faj1vmyWrw41r9ftUzaRXLHupJikJtTEWvr1nsFPvPzxaorQzbwsWSdv4vCO17wOFHVZxpO4DDb1RpKOvHz0t6vlnVpfvzNGfqbz3810LmJspcAIUN+E7ODg4lHw4lo4eAsB7k6UTFFmPqPzsRw9JxKsdNbstHNsqPO4qZRBMfvwLAECorrIBwp8oS2DhkyIffMCb6te/oYVYbE/MXRV3jLNPFanglme2j3rcs1xvPUj3Bx6atTxqWwAYdt0xfnngU+NitrNx0zhlmmSda3jly9TiZsPJp8rV/bpQJ/Hxp92tlunt1wlPP1ZylZdWbAAAtBv/sV+3e6XUPW+lMxy8wiTisJg7WCXW7NQF6/2qRKueYbeLZRd+TfNJLNoRGRnK8+YBAKiySibjENH24Q2aSCN7xBC//Od7kgykfj1ln6RnPSX91DtA+zacfLZTE1aRz9Jm7vBWvS9NG2n53o21T7UtRoqRFOZvlBG26G1J9p6SorNPtdoyxu3WvtfMxbo6Cpufdbsmev9VjpfvY4Va6lP3ngkmjfer+p+sydmTgQ1jdc8g/eg5AJAj8U7qw88AAEY8pStw/le/v5tvvBUAMKDrBckbFCFYApQSNuM7lo6Dg4NDNCTJwieiVyBz6SpmPijKcQLwNIDeALYB6MvMv+dtsMFQYlg6iZD1kLAteLlawon0cDwMu16YGL++9INfd/PZwvII//KVX7f+lY/98rN/iz90qFEdBBJb9h4aHywWFNWvH7ddPKvexm9v5z0NXQ54fuM16ismj4FRRhlAZJg0Ke2VzVN3qFiKp5w92K/z9j9s8KKFfvmrb4Q3n8PyXi1WNa9Wq3/XH6Lu+NEafcbRUKuM+lpDJ0l8wdIrBsdqDgD46zOJEm3yr0ZFl+0sq5Txj1/r17VooJbmOJPOcu4/yhRqdrhc7/opmh+I6jcx92KlD9wg3w2qasUelE/X456/PtviwHuRo6mWRkxp8ZuH+t7gVx1w2c1SsP3/xqee9p8+9x7brL2ljabvKroK8Vaz4a81GXrmkZpovrCQI4WluZ6nkAkAnSvKPXc/VCPBb/p2XiGPKmAClGAW/kiIAGVkeLegF4Bm5tUZwAjzf9KRyKWzGerS8e6MoS6dIpVHdnBwcCgUBA68CpTT9gciyojT5FQAr5vE5ZOIKJ2I6jBzMIsvD0hk4VeMd7yo8cRpB/vlqU+Lz/0V4zPOCwYO/TairkuzDADA7zdk+XUvR+n7n/7B+MD3dVRrfqexWAdf/0rUtr1NKjf7q3R4C2FLROPu28wVj32Sec2LgcYFALu+FL//LosNk3awSWdo+fA9/zNZ+xpUUXzAbeorGySahW//ML5cH6mNj0rp8v9Wtebn/hIspuCuJy7zy6EDJSVfw4+VITLsGWHsDHzme79uzVbhjZeeof56mikrnHetxPRXldafSDS9pnmmLlry7Ud7Kkunwo2iEhl+XfcWKE33AlDb7NdYmv282rBq1qmvH2WNzn1PvV6oqdlKs1kz3jUshcwcEbveasBKSD/vOIkkf3JesJVqIlxWO90vHzpKEqjn2BP7aCQAYNJQ1S76c5uM55iGurfQ8DijklnRmo72ioUfmIffh4jsH9wLzBwZrBIb9QDYX/Zlpm7vTvg2iOgIAM2Y+VUiqg6gIjNHcvIcHBwc9gUEj7T9kJnvTNws9pWi1AXjZOcRQTNe3Q1JfNICwKuQrFdvAji8MAYVDdVKpeCCqpWwwYogzItaXzx4FvUxR6n1wRs2AADeXhVdp/6BzmI53fFrMCu0SjtVhrz6hZ/itv3CJPkedouqMg58+PNYzXOAOnY3peAW/gdfSdLuiRajY1h7o0tyqpVgeq5EmtqZinb+JSuOYbPVUrbhaaPwqjURx06rZlm4dSX62PctA3huWXz1w6cvklVI6ITz/Dr2+OCVqvl1KXcIy+PxhXov834X46muxVIpd3AGAOCGMdP8utoZevyBBjLeoJ95Dj/zt6LueHYNtVI3W9pFi3fISiHVUmj8Y4vlz8+NgGyswsDBFWSV0bdnc78utZ2lkHqKsGWolqW/78UrWJHEoQvkmXRpoL+NLuXNdyJdPz9/4rUzf93/cX6HHxx7L9J2GUSB2EN9AHmTEg2IoH/CTgdwCoCtAMDM/wEo1u4eBwcHh3zDC7xK9ErOhP8pgItJ0AXAxsLw3wPBXTq7mJmJJPUOEe315Cdr92TjLcvHnEycOOx6AMC215SdEDr7UgBArRHj/TqbVZLe02i1JLD2RvwrUaXhv1U3//ZJ4gmLxV33YFv1nmU42vIvRwPPyTuba2MUZcKBT3wNAMg6VlcZqCF+5l1fqi987ASJ1Nxg9VHeslLvv0+s6o2fRa5qDmtrce4rGPthzvSIdjaaldMo11IXmJgLO5/sHKODv0etY8+vn/b6x35d2+1m5bZb23l5Xpu0/1HrflLmVvn2sqI4df7zft0na+MziHIj0edn4/yawonocrJmetqzXq5XpnlDv+63VyUPQ2FmTbPhWYmpV/T169bc85RfvvueYBnfPNSxWFY3HCP7HuWuucqv8/PyWjEM3soRiK6smRQkiaVDRG8D6A6gOhEtA3A3gNIAwMzPAfgCQsmcD6FlXpq/ASdG0Al/NBE9DyCdiK4A8D8E8BkQUSqAHwCUNdd6n5nvJqLHAJwM0WFdAOBSZt6Qj/E7ODg4FA6SJJvAzOclOM4AMpNysQQImgDlcSI6FsAmiB//Lmb+JsCpOwEczcxbiKg0gIlENBbANwBuZeY9RPQIgFsB3BxkLJ7VAwCH36f6Hpn9hkVrHhNZIwbom4rCMOFdasHzOOFVR4vSBACqGyOHay7suk0+x5Q0ZVDUe0W0dE46rq9fN2ZdFGaLhXiWYRnri8lz5wQal41+tws7I5r2CX+jq4yU/qKHX/ZyZXucfoikNj5tpcXhP0hjS6hjDwDAn09F7kFU6KaKln4mqM3xLeBrL9PIZqohn0F4sXXPXrTwZl0NZn8rDC5qo9fz89ta+Wl93rGVlenX93TF8edrsnq4+IxD/LpjKxtGVTXL51xGfNyZt46Key+JMMqsaEe9/EuUo8H2r66qq3sQZK28mjST+gpXK8+emrQCAPAWXSl8dJLo2NgxLdO3yqpo7b1P+XWVGlv3P0XjD4LAzj09eKzsJ2Hs9XnqI/kIyMPfF7V0iKgxgB+9SZ6IyhFRBjMvjnee+cvlrXlLmxcz89dWs0kAzsx9roODg0ORgQDaj5OYvwfAEoNHtqnrmOhEIkoBMBVAUwBZzPxrrib/A/Buon4atWmFEV99lCMr0+dtuicceCzw35olac9EGZKtu/1YmfiPZuv7X8c97mHal3MBAK/a/tUs8QtnvaUc/kOfGOmX7/tdo02DYOiLGhmKJsbf+cgXwTvYKVGeWSNVIyWzr+Qg9Xz5AJBlGDs2t5vbiP5KSvse2p8VnRv+cxIA4Kv1uoLxWFFo10nP8XTZrc83GuhsXdVRDRPbYKl80oEdpGD55sOzjIW8WPVXwr9IVqtQV+WzU7poBIWOVKXFLv3n+uWdw2VRO+TtqX7dyl2R4724lqwassaN0L6rGH2aUvq94l90kZx51bMR/SQDz/+nHH6bFz93jkQY/3vZg35dyExehzVTnfvT/ifKmN8+Gbmgv2uyZclPzptVX/yR1EjbYoOgLJ1SzOz/gky5TJz2Ppg5m5nbQqhGnYjIX+8T0e0A9gB4K9q5RHQlEU0hoimr1yY5QbGDg4NDPIQo8atkzfeBLfzVRHQKM38KAER0KoBIYnUcMPMGIhoP4AQAs4joEoig0DHM0SUQTbTaCwDQoUUTDv/5KzKP6Z+Xy0Yg601R1uNf1S9aqlL5iHblu4nO/bAmqgw5cISyN7zVQNbLg3S8f4jlN3CY6ty/Goc5kXmBWlcj/pnkl49pI9byuIBaQLu+UtZM2VuOCHROjnHc+yEAYPiv6nP2Mn3d9IRqCWW/IsGDKf+70q+jhoaLbem4UFm18Pk7WWnUtLRRTjhdIkPtPKi8UmSbeI/umbRLE5sivZSlldO0rV7HKCra2bSU762Wd0o3k2O2o6UWOVf0h8LT9TP19gRyZI5qpNr/HQ6S78Jsi5kVzcL32DIHPfC4X5f2wF1yjfrKXSejmgoAw9t2BQAM6ByZd/eoyrr/U81E/ibSF4qGaJHi0fDFr9Z+UsCYg30OhH3Swg864fcD8BYRDYPc4VIAF8c/BSCiGgB2m8m+HICeAB4hohMgm7TdmDlKnL2Dg4NDUYJiJpzP2WwfnPCZeQGALkSUBoCYOSiZuA6A14wfPwRgNDOPIaL5EKrmN6IMiknM3C/vw3dwcHAoJASazPfBCZ+I7sr1HgDAzPfFO4+ZZwBoF6W+afAhCpb8vSTP7pxDTAj4oWnqYgh1EHcJe4mWAfAa2XB6wtrg2vGLyAiUHzHSr7voA01o/YaRXMi87Em/Lut7cXk8Okc3Xe1EI3GxU903/+2KTgWNhest6uDwm8TF0K++brwlkijwYLsTRswVQbnHqmo/K98TV1WtTVbiDhPU5EknA8hhGZE5/6TG2k/K2UJLziEf/NVnAIAFH+mGqCctMKChnkvWhjBSTBCWvfQ2aRHtdJQw7iTb9ZPSXj5LOyEJtmww47I2zaso3bDCub1lPH00hSMvk3tY9LFKVH/6jzyfUDlrM7mOuIaoqpX03ho3tRaVkhErpvl14b/lWZDtLqspAVdH3a60xVip/4ojeqbr51fXCMF1vtlKQXmwSQo08Tu/ynM57l0EpWUW/kiSiaAuHZskngrxveed8O3g4OBQEkCQTdmE7UrWjB/UpfOE/Z6IHofoPxRreAEiV1ysuQSyh8lGKe/UcPyUfrLxmtqnt1+XecmjAICbFpzs103cFD84KrOHbGa2sML/gyL88at+ec62SBne06uLqFSizTqeLZbmwc9oggz0CSbhbGPF+ZcAAGp/rgFTtaqIpc0TVE46vE3GEzrqNL+OLIEsT+K34dUaauElUOGtG/y67B3vAACGzrcSbRu8skxXFEN36UqIyprN9rC9cWo2XO30dJ6lZm/GlpLgMUqzJIPT5P6oVobWteigPZvxehu+AEBG7KvJTQf6ddeZZ7L9q4l+Xfgrub+Us67WvstZ4nFmaJRmrYTamtWotQoJTxF6ZNnr9PPN6ivP7J5TlVa7end8euvexuADhZZ6wCdKyMt+dagU7ElzviS9QWclH4z456aI/sKTLZqoJyldTQkWz/e6HAVGEB9+CTPx85vEvDyAJglbOTg4OJRI7N+RtnYy8xQANQDE9d8XJ9h0Sg9Z3z3nl3mdSPt6Vr2NR/+MLvs79Oy2AKL7T+1EGXccImnZypZVa+HO3yKpbpk3RmY/yxqqYe+hPmKxfNTosIh2Nq6/VKiAQ78uWCDPvVPFj33OwUf6dc3qisBZ7ZPU6qUGJskHq1UfXq4BbFTH+KwbWvZBGWNdp2rKupQbZOWVmqWW3Q6TcH6HlXg+PFd9/Ckdj48ceKDE04j/QyXLsrNTPGabvZUfVZp4+1SRAig3QC1Kqi73Vb7z0X4d/yQBbNlT1TJN6awryhzpCSOGY60YzbPLftUK6jK01XuGD/Trbu0nn/+m7EISFouDemXlXv7dqXtRTV4Ta37bzbr3sNKkCW14ugbgUXtZjYea2bIbslKndE2unnKMJYm9UfqxE58XGIQSN5kHQVAL305mvgfASmbO286ig4ODQ0nC/mrhl6Rk5kGReXR8Fmgf4zM/+iy1NKiFBs38/nAwCdgHpuc9j8GdbcVCTLnkFq00IflZ953lV2Xe9R5yY5fnp96hvu5uJnBngpXgJCjsdH/wytOt7ZsHI7dysr5Q5hJ16AYA4GkqjxyuJkFmVMey+s2P676jlcAVLVH1+lvu98vVvzHJ1G2rvlSUAHDfd2/58DmioO1sX7/9g/b6toKx3n1S9jjO2qEWd8VXjZ/alnww9xpePMuvCy+c4ZdDTc33bJf1GXk+ZMv69/z6oRaqahIeJ9+Dh68a6tcVhWXvwbbsPUw9VcQK2/XVnEmN/mfkrdM1jWaoliRDYUvemkqnmTp7b8uStV4vq3BekcwEfBRwtbgPTvgODg4O+xX2c/G0/QJPXai+6dJXGs7/ck0a/sFV6uOfvU0sjBM9ITAAnyeQOI6HJ05VSeHyQ4dLIYqFEbpUmRiIYuF7mH+9jvXsVyXd5oR8sHXyg8zeKjfx+EkiuVvuOpX73jlUhNlKpeuzC7UTC7ecJWUBRFr4dnrBEatk4Um1G1stgv4Ao6h5eD/e7D3R25nPI3T8uX7VJZcIY8eW07jIsJC6jlNGChnLNdRC/dXh7/XzCxsKYCjjYL2yz2KyxhCOslppKglSlkaxrB86TNMHVrrFkgSfO1v+r6axCaHup0rP6zWJefgNWbn89rYykw5sIuJwlQfpvgX/qPIedrJ4DzO3yoqz/cln6zl/SfzIrMxH/LoRS2PHjFzfVMfafJyuLPWZJTMNbMAk5iUMbsJ3cHBwiIb91YdfEjCkq0QgvvyHpoI88wCJkpywVHnckzbtRCyUbqNiXr7/9B/1C556slrhfTJEaIuaKf+699LFAIBFb6iF895ikaFdYiVS8VgMN1+gK4qU8y+yBiI+d96uSTwo1aQALBXsI7P57MONSFmOKM6fPvPLmWfcGajP/GDwGMOrHqMWftZY42u29hmobgYAIGRFtiJBsvelpwtTo+FE5bv7P9KorJeAP077XI608KlCuja99h4AwDNbdL/lmpEit91x6AN+XemHX5LuLB8+tmpMxY77JJg99eZb9XJNNNGKDkfGQ9bqL8X48x/ppiudmyfI93b+QhWMe/mUyBxDF9gJhT4zUa5l7Whm+R0c0qm+X5V6ocRUUIu2Oq5pugLoVFGYRL9t1t9aj4aScMVLIwnkjFIPghwxGo26+sXhv0mMA1WqmvuUgiFJk7nRDnsawnB8iZkfznW8O4BPAHiTzYeJVAzyi31mwndwcHBIGrwk5gnbxV8FGB2xLADHAlgGYDIRfcrMf+Zq+iMznxTRQZJRoif84dM+8su8VDRrzrhZg4IfmR2dQ58bw+4Q32XoHPVx8hrhoYfXqAr0bithdUojY/nVUG4wagrnPGOFXvesb0SB4vG/NAWgx2K45hWVRD5/jH7+R3z7JgCAqilPnXfItam0Wl9Zd4sGSSKtkQGHSjsvoToAhI48zS+PWG4SlVup7bJflzSMu/5cqHVbxGIr11oTaHvp/Ka8qlb2yATJtMMfvQ8AKHXPM1alsEo8XzcAPHXhGADAdW+q9WhjyExZzWX9oPef0t2wmKzE5giZr3lQi83erLMtfBPRy5buEUykbamrrvGrzv9C9n+2z9PvQelN8j3iJZp4hzqrNhN/IjLUiy/V/Y9Gzw8BAKS0tiSvd5mo0lKWpLeZmNLu0ojUi86TFcfPCaLD31qlq8iuH8r3LuVy3Sfy0lqm/qexFVgosQfhl5QVNGqkyo0fVEG+o8cfoKu1VavkmT3SM/mpWwd0kj2VrFduSNAyj0iOlk4nAPOZeSEAENE7AE4FkHvC3ysImgDFwcHBYf8CUeKXzPh9vERN5nWl1Us9iJy8h2WmLje6EtF0IhpLRK0L65ZKjIXfqFEtZN15eQ6/b/i1LL88cOi30U6Liawn+uqbFuKbz35UfZwDTRpCG2dVr+iXu18oSbC9tHgAlE985gV+VeNzJEoya7PuI+x6ZSSAnCqXoyxLK3yM8JOP+k4TklAF8bWyrUR5iqhbPrtSWRVXP2f5s3Ohfz3lbo9YqRxw8vYMyqn+CjXKAACUTU/363b/LomzB0ZJd5cXzPlSVj2talpuSpPRjOrU9qtKt5dEKZd+o2ydaAllXjpP2UdXzhEVVDsqE7uNL9leosez+m2r3uKD81bzGVrpE6miWLFk8eIPO1/Ksz/4w6876B9jFX/9pV83/BKNKRh4y2kAgIYN9LPkT0cDALK36cqS0kzS9Ya6dwSjKZRySHe/qusXsmfQ5W/9jtkWa+Z5kS5iqm6+v9Zz8p5jSk1d1XGGzEdTbnnRr/t5047IcsCEK8lC5v+eSNwoMPzJPAg+ZOZYG2HROslNJ/odQCNm3kJEvQF8DKBZ0IvnBc7Cd3BwcMgNgmzSJ3oldhMuA9DAel8fQI5oTGbexMxbTPkLAKWJqDoKASXGwkdKClCxMjIvf6pA3TzeSyyjyY+q/3/kypEx22e9bkW7rlOWwFdXi/8y1WJLdLvWaKN0Ua19zwJkS2umzOHCzsk663S/bs/nmnT82td+AwD82OE0v+6OBcZHailDUm3D7b5ANXeyWgkjJ/Matb6i4Y1myge/aIZow4S/U1/4ngnCkCnVXbV0StWzOfJ5wxFWmr6M5vJMPhqmCdK95/j7lh1WnfyYBnQ7wK+7eZnuYXh7NJ5uPgDsuFEiqFMfGe7XURVv1WAZVl5Eq/W5+NGdYYvPbuvlm1VBjlWdp3OzWxkpdIrsI4x4SjV3YCK7Hz5C9yhOqJvul72o6axnLW9AU/ksQ02Um+/dC++0ffNm0imjzzjU3DDAmrTx67J/ioyKrlpKv7+hMwyv3lLs9K5DYUtTyIyh/deq/zS+0xl+ecGOSLXXgqCayWewdq8rgCaFpTMZQDMiagzgXwDnAsiRx5KIakPkapiIOkEM8bXJuHhulJwJ38HBwWFvIgkZr5h5DxENBPAVhJb5CjPPJqJ+5vhzAM4E0J+I9gDYDuDcWHm+CwoqpH6TjhqUwmegQuKGBUDWpxrxx5PFoh54/8dxz7EzSx38pGFqpFo85lUmLqCCpeRnuObr7tIk11VvvEKPb9oAIFc2rWfkeMqFg3WMnkVqs0aMdRqepMnHM8+5N+49eLCjhns/L/sZKT1Uxz68bC4AYEDb05FseNdev0etuLCxyLtaXPFmo1QFNPzOywCA+4dpdqT6ZcSGOb+HavKkXiOsmZCl/Emp3r3a/vooeoAWJ589Lf5NlvHlrRAs3Zzw3+K73z1ypF933du/R3SdNVGP/3mBMEyylmjfWeMkypXSrSTt3orDzpbVyPjzQ9ZY14rXgGcoe2bH6E/88nc/CPuq95BL/brQaWLh83pllPnZtipaWcfSqpgTrD0RSwMo+xeJ8ch+f7TWbZMV0Hbr/kqVl2eW9oB+P3mZYQP9o+yw3X9I7EIstlY0PI/NU5m5Q+KW0dG+TWue8mXiTFuXD74Dr7z9/qHM/EfCxsUAzsJ3cHBwiEBAPfwShn1uwreZNIt3igU8eXNkdG3WCItz/59YQ5lRIhFtPNJd1R0rHCp+ZaqmXOMFt4vf+Ml5yrR4tp9wqENHdvPrtj8jWvxV71e+85SLdZO/049iWVxW+xW/zvPJjzhHMyb5eWQrqHXJW4XFEuray68b1l8s4Gh5AWzYWkAntRHdfbYzTBnf9W0Ha15WjwtfUETTIbqhhVyvUkXr/pYqYyflWrEM+341069bs1YszbItlVVCNc2e2Q5lu2RPN9o31uqIapho0vKaiSo8+mW/PPGF8QCAQw9Si7vCSbJq2PCerjLSr5ao6dKXXebXXf69WKwvWcwV/lL3kVrdco4U+uvew4yLhANfvrz+TBseKoy+Mr2P9etgVitURcdFaenyf1fNGVDuEFWqPNGLGrasdD+LVLausniBsIvQIMOvS+lhYh2sPQOb2RRqYiLSD1MdKvwsMSelK+nqt1RlU7ZZQY1l34L/VYHeLz8vEsp6MJeOk1ZwcHBw2BdQsibzINhnJvzWxh/YfYSlJllO+MlH3aDKkT8tFws407KkouEowyo5b8pYrUy19hCMzzb8xRt+lW3Ze0jpJ75ZXjzXr9tmdOXLrdX2/+xUpkmHpRKNWSktMjdueJ76gn0mhgVPE5ynqjW/dVZkhq1oGJhh6dhUFmuRSls5X8vK/Tf4WhlFWe/Jc7z22pf8uj0F2Bey1R3TWos1u32RsqN4mma82vSUWN92RHUDo1N0aBNl9oQaGKtxt6U1X0qeLX/6vvbtFSro5/zX6N/8couGsnos31k58J89IH7qL9dv8+ueaSXsHDsy27PsvfEBAJWxtPsbyZ6D57cH1FLmHdq3F5GMTaoqyUvECqeKVbSd+fywx2IPWd9fKl85Z38AQpWFCWhn2MquYLTov1SGT/YiiWrnzZorgaxntv0H+Y4OHvsXAmG0qo8ebFarM7fuitV67yBwxquS9Udhn5nwHRwcHJKHPAVelRiUuAl/2E3qm6bmLfwyTxXLb8KAx/y60Xa2pjzinOuEU7/7IVUvtLVvgoI/fxcAMO8VKw/qdmGDVFu+zK9baHGXd78k/voc6oAeZquFS61EMZA3Wvrlr4uFuGOBMi1u/nFxoLG2+vxNfbNTrEpbsdNjgXg6QwCAg0Rh8ZnfVBeGKlsxI+XEKg7Pn+ZX8UdvAwBmfahRoNWqyopq7Tq1wtf/JH7vWs3VN73yM7W4H5sh+wfn24qPj8veTMpJGpuQPX28FGYpy4OOEv2g0I0P6ViNP58txkmrMy/RcxrKSiE8U1dPXz78OXLjxXfFwr3qUlV0vKmVcNcn/6eRwl6kNACwiYilKhoh7MVw5GDDeNZ+NY1IRsV06cPXzwfIU1W1/PF2DAd7jJ7t+hvhf8Vyh7eXASB0oMRrhO1MYoYptOulV/2qQR9o5HY0ePs+vy3VMZYx+wibrDFOjJOVbdidp/llqqmxEFvel72H6XOUAfT8qvz/9n0EyXjlfPgODg4O+wJK1mQeBCVmwm/UtD6ynrwFoeaaYzb8zvN+OREDJR686MeK/1PO+eLHxNp9dm6kXz4vyLxdtLqzHrvYr/vgQYmqfP6GkVHPicbZHnygsfxqqGXHxgoPz/7Vr9vwm/CYP5odfNz3dRSLzmN2SOfi2w1PsKIzF0nfvFGt1MVfCkd6wr8b/LoTLJXEOi9KRHKovkqDhI2O/cGdumjdRPn8pn2sevEve4yWP+Ornto6RKMuFqnxOmV0pbfdZIl6YIAypVBJIol3fa0rr+XTZOWSEtIfeuVqyiop30ye/arJi+OOx/c/pynbp2E3uf+GlXU1wqutldJfkoFqx7vK/S73tOxR2Lx4niTjDR2jka2h+ibXsuWPZ6POGV46R69h6TmRWSHY+vTYLJ8rL7J873WE7RRqpZ8VlZP7KmsxaZDAwvcwz1rJHlVJ/P69L1AdovM6yIqCDtHVkfecQm00gt3em0g7pDMA4Ag7j8HhfQKNJx4ogPVOJeyPQomZ8B0cHBz2HlyKQwcHB4f9AwSX4rBIUaYcqHFrhD+wgpHu+SDuKVc3ls3D0f/qUnaQof2lXWzJA1ROl//DSifMGHItAGBoKxUZY0sgi5cL/XHuVff4dc8s1GQpucFrdUPpjKcGAgC+6/tYrOYRGPuP3MMAO8WhFxQ1TRObvDdLlv/T80Brq3a1yDHzSl2ih5rLZiy1VzfIzs9F7Oz3CYv9ui4DZLO2cXXdqA3PULcMLxKXAsNyLSyT6yx+Uemdj81Rt0UysHxXpNBWzuTakYm2E2L8wsRtLHzyvF5jxS7ZqD+7tW7KVrFcMD+YBDKzt+p3bMAVP0vhb32e4T/lOYZ6Wfpb3gZsyKLDms1ybLTomz9ronX2KKGWe466mMCsqrpJnv3GSCl01eAn35203aKLJoAXoGenVOzytsn0N2+2NlxiaMWVVcph23D5zZc/VdulnHutjqeBuLTCkwom2x2BEjaZB0HJmfAdHBwc9iocD7/oUKo0qHpdcBCqlMGziyIt7n8WiUVz0LHn+HX8n6Gj2RQ2k2iC11kbZhu1v5BJDN5yklpxWR+9AADIvEoFvjzc/6QmvrjzStko85N5A8jsdX3ce5m9TSz2ry/VpBnHPWxC96urRVa9dIA8nABalreCujbI6oO3bPCrvDR+ZFH0Uu+XFUm6ZV1GW2VlDTlP35hNv5d69fOrbDnjfRnfrI+0gK/qrAFhVFs34D0KcXlrw5h/lA3aCdZKoVu/o6VgCaX5Am42fdNbjS7UgD+bZujRGme8ool+0r4WKz6jR3M9pa6hP+5UumR4hmx4//NcpNxyInS9soe+WWM24zfpKuOjJyWt5WmZutIpf4qcs+JFFX+r0/lovRdv07qBSp8UHAF9+CVrvi9BE76Dg4PD3oRz6RQdlsz4E/3rHJqjrkslDfu/6EmRwMVqpSNm3joKueHJzw63/NWoZNLUlVfhNS9tHJWxpI7t1YXZ0OHN6iOltkIl61f/Lb/uuWVyfKXlUx44THypwy9VIbQRC9XS6t/Eop/lwidWuP4nV0ii8Ztbq6XY50kTeHSDhuh/HcXSHPiEJcfcwiTJsFL3hf+WIKWUlkrHy14lEg3RVk42Mm972y/3TP8YwP5j1QPA0LPbAgDK9DjMr9vxhXzmoUs12Tl/+V7EuY/efqpf3jxOFHfLWFY/NTPBhlZiFjbyFzm+v6Zu12/T/KoFk1TMrNWopwAAba7QvaXMew0l1KIiewFjjc5Vaemtn44EkFPSIhE6VTRjbKO0amohZa6hYnzfbhCpkm8f1NXDmUYQsZYlElj7VxWr82irVDsj8HgCwUkrODg4OOwHCKqlU7Lm+5I94U/apH6+SSb14eO9WwY61wuTBwAqY1YKtg/U+yTtcHRLZoAXC1tiReZNft3OndJ23NpgYd0LzleJ5qZfqVRu1gSRVsjsdkXEOdGQw9IKmsg53ZI/MEJwdnBN+BVJBpO9eYNf92SfSPnoZy6TVc01L/8ScQwATjqxFQDg27emRhz7X+10v9z+zQelsF4tTp4qAWV2GD1swbF1JvG5JVFAdU3iE0vAzZMM4E915bX1R5EyKFNHx7DHSDSXu1T3IDy5XgBYfrkwQ35erKyv3t3leqn9LvfrQk0PAQCE/1Up5zJ/yPV4kTJNtv+oOTOevsQEHPU4wa9bM1pYOofdokFW1FqClHLIKKTKapS36T17AmhlumkA05pxC/zy1nsfAACUP1FXk9E+yw8WyufR6xW1qIctznv2vUtGyfWocSu/LlTP+N7rq0RKtDG8v0Z+Ty236b5T2ad07+iA243A257kplYscbN5AOx7Cv8ODg4OBQYlK4k5iOgEIppLRPOJ6JYox4mInjHHZxDRodH6SQZKjIXfsHoanjm1Cz7+YJpf17WhysF6okwPfD0X8eAJMJGdvCEUhdnifZC23962Gr8Wi/ytP9XfeUWHugCAeduDWRrz1qgfdllHtex6zBHLdsQ8ZWe8eqgc/y1KMpd8YZNaqfhB5JiRcZBfRacYbr6RagY0OXUp60uecswxUohh4d/3buzMbx2+VPEtqip+3PDfuhIY95L4vbu2VR9vhbv095JixONg7bPwepOQxUpswt+Ib/q1J8b4dYcZPnizs/S5l14jYnX/3KPS2Q0f0xXcjKWywtuwR/nzqUfLqsiW/EB56TvUQiUDcJg8x1A7jWso10t96qGzMwEA4dd1hdbk/KPMMV0J+ve0wZLOKC3fZVvK2pOCDvW6wK87sqw+p/lDJAF52isq/lb3Q5EBeWJVf79uu5GtSD/CWjk/ocnn48H+/oYNE45XLNYG3mrMCnAqfbOsBLIO03HxFIkzoZpWqsd2Gh8TaiXPOftZZbAlBwX34RNRCoAsAMcCWAZgMhF9ysx2VpdeAJqZV2cAI8z/SUeJmfAdHBwc9hbWrF2Lux4YkrDd1D+mATkSI0egE4D5zLwQAIjoHQCnArAn/FMBvG4Sl08ionQiqsPMyUknZ6HEJDEnotUAliRsWLJQHUB8ykvJxL56X8C+e2/72n01YuYaiZtFBxF1AhDk/N0AMgBcadW9wMwvmH7OBHACM19u3l8EoDMzD7SuNQbAw8w80bwfB+BmZg6etT0gSoyFX5APr7iCiKYwc2TaqhKOffW+gH333vbV+8ovmPm3xK1y4IUY9dF8Prmt7CBtkgK3aevg4OBQeFgGoIH1vj6A//LRJilwE76Dg4ND4WEygGZE1JiIygA4F0BuTYpPAVxs2DpdAGwsDP89UIJcOvsoYi0DSzr21fsC9t1721fvq0jBzHuIaCCArwCkAHiFmWcTUT9z/DkAXwDoDWA+gG0ALi2s8ZSYTVsHBwcHh4LBuXQcHBwc9hO4Cd/BwcFhP4Gb8IsARPQuEU0zr8VENM061oaIfiGi2UQ0k4hS43RVrBDvvszxhkS0hYgGF9EQ84VY90VExxLRVPM5TSWioxN0VeyQ4Lt4qwn3n0tExxfhMB2SBLdpWwRgZj/7ChE9AWCjKZcC8CaAi5h5OhFVgwR2lAjEui8LQwGM3auDSgLi3NcaACcz839EdBBkY65eEQwx34jzXWwFYZS0BlAXwLdE1JyZI3NHOpQYuAm/CEFEBOBsAJ5leByAGcw8HQCYOe+yhMUAUe4LRHQagIUAtsY4rdgj930xsy0UNBtAKhGVZeYkCR7tPUT5zE4F8I65l0VENB8iExBdNMmhRMC5dIoWRwJYycyejm5zAExEXxHR70R0U5xzizNy3BcRVQBwM4B7i3RUBUfuz8vGGQD+KImTvUHue6sHYKl1fBlK2OrFIRLOwi8kENG3AGpHOXQ7M3vJOc8D8LZ1rBSAIwB0hPBxxxHRVGYeV6iDzQPyeV/3AhjKzFuomKaNy+d9eee2BvAIZIVW7JDPe9tr4f4Oew9uwi8kMHPPeMeNv74PgPZW9TIAE5h5jWnzBYBDARSbCT+f99UZwJlE9CiAdABhItrBzMMKbaB5RD7vC0RUH8BHAC5m5gXRzi1qFOC7uFfC/R32HpxLp+jQE8BfzLzMqvsKQBsiKm9+hN2QU0a1JCDivpj5SGbOYOYMAE8BGFKcJvuAiLgvIkoH8DmAW5n5p6IaWBIQ7bv4KYBziagsETWGaLXnVVDMoZjBTfhFh3ORyz3AzOsBPAnR35gG4Hdm/jzy1GKNiPvaRxDtvgYCaArgTovaWDPy1GKPaN/F2QBGQwyOLwFkOoZOyYeTVnBwcHDYT+AsfAcHB4f9BG7Cd3BwcNhP4CZ8BwcHh/0EbsJ3cHBw2E/gJnwHBweH/QRuwndwcHDYT+Am/H0YRLTF/J9BRLOiHI9an4Tr9iOii025LxHVzUcfi4moeh7bzySiDlGOdSeiMXkdQ0kEEaUT0QDr/QEmPmBLUY7LoXjATfgOSQczP8fMr5u3fSHyunsDPZh5SmFegIhSCrP/JCAdgD/hM/MCZm5bZKNxKFZwE34xQ26rm4gGE9E9ptyUiL4loulGTfMAU38jEU0mohlElC9FSiJKJaJXjZX8BxH1MPV9iehDIvqSiOYZPRzvnMuI6G8iGk9ELxLRMFN/jxn3mQA6AHjLWJnlbMudiDoQ0XhTrkZEX5trPw9LvIuILiSi30wfzweZdInoBCL6i4gmQnRivPoKRPSKeV5/ENGppr48EY02z/BdIvrVWy2QJG25j4h+BdA11niI6DiS5DW/E9F7RJRm6h8moj9N34/HGXMNIvrAjG0yER1u6jsR0c9mvD8TUQtT39oaxwwiagbgYQCeVf9YoufksJ+Bmd2rGL0AZACYZb0fDOAeU/4VwOmmnAqgPESh8QXIBBkCMAbAUabNlmh9RrsWgBsAvGrKBwL4x1yjL0THvrJ5vwQiqlUXwGIAVQGUBvAjgGHm/HsADDbl8QA6WNdcDKC6KXcAMN6UnwFwlymfCFFmrA6gJYDPAJQ2x4ZDhMpy34vdbypE2reZeS6jAYwxx4YAuNCU0wH8DaCCec7Pm/qDAOzxxm3GcrYpRx2PGesPACqY+psB3GWez1xoVHt6nM9+FIAjTLkhgDmmXAlAKVPuCeADU34WwAWmXAZAuTif9Zai/m67V9G/nFpmCQERVQRQj5k/AgBm3mHqj4NM+l4yjjTIRPdDHi9xBGQCATP/RURLIPr8ADCOmb1MSH8CaASZ4CYw8zpT/57VPj84CsYSZ+bPiWi9qT8GouI4mURauRyAVQn6OhDAIlY9/jcBXGmOHQfgFNI0i6mQyfUIAE+b688iohlWf9kAPkgwni4AWgH4ydSXgSQL2QRgB4CXiOhzyB/kWOgJoBWphHQl87lXBvCaseAZ8gcWpv/bSRQ7P2TmeVRM5acdigfchF/8sAc5XW1eTttYv2QC8BAzP1/A68abKeykHtmQ701+Zxb7/nLn640m7EQAXmPmW/N4nVgiUQTgDGaem6My/ky5g1U4LOp4iOhkAN8w83kRFyTqBPlDcS5EcC1W7tsQgK7MvD3X+c8C+J6ZTyeiDMiqCcw8yriZTgTwFRFdDlmNOThEhfPhFz+sBFDT+LTLAjgJAJh5E4BlJKkCQSJbWx4iqfw/y19cj/Kn2PgDgAtMH80hVu/cOO1/A9CNiKqQSDmfEaPdZgAVrfeLobrr9jn29XsBqGLqx0G09GuaY1WJqFGCe/kLQGMyexyQ5B4evgJwtTfBE1E7Uz8RkuLPy+d6cIy+Y41nEoDDiaipqS9PRM3N51KZmb8AcB2AtnHG/TXkDwJMH17bygD+NeW+1vEmABYy8zMQOeM2iHzeDg4+3IRfzMDMuwHcB/HXj4FMXh4uAnCNcTf8DKA2M38N8f3+QkQzAbyP/P3ghwNIMX28C6Avx0nXx8z/QvzhvwL4FiKjmztpOQCMBPCct2kLyX71NBH9CFkteLgXwFFE9DvE7fKPuc6fAO4A8LW5728A1Il3I8bddSWAz82m7RLr8P0Ql8gMks3x+637r2GucTOAGdHuJ9Z4mHk1ZDJ+29RPgriWKgIYY+omALg+ztCvAdDBbMD+CaCfqX8UwENE9BMAe8P6HACziGiaudbrLHmQfyKiWW7T1iE3nDyyQ75BRGksaQtLQbI+veLtMRTBWBZDNlnX5PP8FMhG7A6zMhgHoDkz70riMIsMRLSFmdOKehwORQtn4TsUBPcY63IWgEUAPi7CsayG5ACOCLwKiPIAJhLRdMgfr/77wmRPJvAK4ip02M/hLHwHh70MIrodwFm5qt9j5geLYjwO+w/chO/g4OCwn8C5dBwcHBz2E7gJ38HBwWE/gZvwHRwcHPYTuAnfwcHBYT/B/wH7DXl8hHYP0gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tmp_path = f'{SCRATCH}/region01/FIO-COM32/'+f'MLI-30km_z0-MLD_fma.zarr' \n",
    "MLI = xr.open_zarr(gcs.get_mapper(tmp_path)).MLI\n",
    "\n",
    "MLI.isel(time=0).plot(cmap='Reds', vmin=0, vmax=4e-7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b21fe9c6-011e-4290-ac3a-3a772f8e5562",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f53b6c8aeb0>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "wpbp = xr.open_zarr(gcs.get_mapper(f\"gcs://meom-ige-scratch/roxyboy/region01/FIO-COM32/wb-30km_z0-MLD_fma.zarr\")\n",
    "                   ).wpbp\n",
    "\n",
    "wpbp = .25*xr.DataArray((wpbp.data + np.roll(wpbp.data,1,-1)\n",
    "                         + np.roll(wpbp.data,1,-2) + np.roll(np.roll(wpbp.data,1,-1),1,-2)\n",
    "                        )[:,1:,1:], dims=['time','yu_ocean','xu_ocean'],\n",
    "                        coords={'time':fio01w.time,\n",
    "                                'yu_ocean':fio01w.yu_ocean.isel(yu_ocean=slice(2,-2)),\n",
    "                                'xu_ocean':fio01w.xu_ocean.isel(xu_ocean=slice(2,-2))}\n",
    "                       )\n",
    "wpbp_coar = ((wpbp * Au.isel(yu_ocean=slice(2,-2),xu_ocean=slice(2,-2))\n",
    "             ).coarsen({'yu_ocean':ncoars,'xu_ocean':ncoars}, boundary='trim').sum(skipna=True)\n",
    "             * Au.isel(yu_ocean=slice(2,-2),xu_ocean=slice(2,-2)\n",
    "                      ).coarsen({'yu_ocean':ncoars,'xu_ocean':ncoars}, boundary='trim').sum(skipna=True)**-1\n",
    "            ).where(mask_coar!=1.)\n",
    "wpbp_coar.isel(time=0).plot(cmap='RdBu_r', vmin=-1e-7, vmax=1e-7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "9544d6df-c9ea-429d-9131-691f1f53e8c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[False, False, False, ..., False, False, False],\n",
       "       [False, False, False, ..., False, False, False],\n",
       "       [False, False, False, ..., False, False, False],\n",
       "       ...,\n",
       "       [ True,  True,  True, ..., False, False, False],\n",
       "       [ True,  True,  True, ..., False, False, False],\n",
       "       [ True,  True,  True, ..., False, False, False]])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mask0 = masku.isel(yu_ocean=slice(2,-2),xu_ocean=slice(2,-2)\n",
    "                      ).sel(sw_ocean=0, method='nearest'\n",
    "                           ).reset_coords(drop=True).coarsen({'yu_ocean':ncoars,'xu_ocean':ncoars},\n",
    "                                                             boundary='trim'\n",
    "                                                            ).mean(skipna=True).reset_coords(drop=True)\n",
    "mask0 = ~np.ma.masked_values(mask0,0).mask\n",
    "mask0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "29ac8561-bdbb-439d-b637-3555f167ed9d",
   "metadata": {},
   "outputs": [],
   "source": [
    "Ce = (wpbp_coar.data / MLI).compute()\n",
    "Ce.name = 'Ce'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "80449888-5cab-4e71-bbb1-d1a64c2f7b43",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_3364/1544253756.py: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",
      "  ax.pcolormesh(MLI.xu_ocean, MLI.yu_ocean,\n"
     ]
    },
    {
     "data": {
      "image/png": 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ZqraSKsvQ0i+hv0gbWDUSAypLmKaMWf9NaTjc6QYJmSaOPYYZalj6iL3A2oCcLzdcUD0IyBur0oZp7F0tN0sQlVBm+Lh+nPJ3kah0mYZctCfzf/8XAJp2ljzLlSO2BuBX9x/HuXEpZ79y24vy8+e78GWjsGR3GCC5l5zmLZ6d57FJL2EgV6sQ97uP3xyS1y58bRoAyVgDF28tBjQkDXaIMewx+XVert0egHHTJYf054N/wauLxJi9dpFM+njtLDG2uUd/x8LfS+Ws46/XATC1ahTffzhf2VpZSIhUNDDfOHyTcy9FdB8YY4o5mCLWX2TfFCJZyY/E+2j7t0oQLJxJ7feOB2Da7RLKDDj1bLJlUiUJ1DOpSLcxJythxBejDgDyinabeJDw1D3RKo71IngqSu9b7UVSQlxQUg3KYXFeQkfOhtUYo16Fn6jgj4dLsvnLVvE6fv6ehEO2o5UtOyRJelOFJGqDf97EluNFNe/zVvF4XNJ5aE2SmkCFySdJSDi4vZUXzhApiZtjo8Nr9Uv9ufOP5brceKC8d5tWrQB2dwlr9V4AJp48CIALegsv5uJbv8fYx58EoM3qubVlGdFbvKt/0gUYMEWiXRHrExqVuPbzJ6dw3IPCSv3giYcACFSYOhg+hNhM0XAp+7k09wWfPI2p0lyHGhj8KD11rhHWfdHzUy2st/TT1RQYG5BJAwBNWZ+6EnktorN+EsYQ03lFGa0sWQt+Tohq9SVi3DIxqSL5rQv5QZncqOc9LU2Gv77mJrhGcjaO1LeyOI5lbH+KvPb0BXnFuksWSrXpZBU3Hz7pAWIbbQlAtkQM3vm6jecbfJ3P5K5OzPc4YWvJ7VzTlQUWPZhvNr4N5eoi1l8Uy9TfcDjDsipaLl+FNcHgTS8QCYSYhjlbD6rm13+VzuDd/ieJ3C9rhS/ytw/n85P9xSsYdbbKIw3bMhws5mvXcHuskpz2IiUiy/iiqzOzsEN+ifiGN2bJPvZsegWA6lrxis6bGOXk7WQkyOhyqbK0Rcpo17EiTswJ8iFaNLeMKUK6tnN3kn0Nuf0S5jeJx/PzLVWIOyKeD8YjeEUkH2Y+Jp7Jn3/7JtPbZb+FI1Uc/JhkrG++9TzZ5sTLuVqrSPW+DlHc7lAyGu61GqmSvTZDQrHd++U9n7Tq9iYiluSyrt+KYIpEu+XCGJMAngfiesy/WWsvNcaMBe4EEkAWONla+/raWNM3FdMWtdBHpw/arExSPPDLv3Jwi/Tc+IulWoKWZXeMl2JjUl3xF3yhn+sgKBfZyHP/KxKPZ+9UFpZoG1WhLq5f+Jhv+OL4gwHY/GOpHF1y3flcuIncVAt6797pc7/Z8GVy1TIloOOvErpN3vUsbnpORrDefagow5kgS6DyCO6nq6NYL0JksZR768uFaPfjzfqEx0hrxaUl7JfKMWQnqXoN0krUOVcPYZ97JDzk93eH13DPk34MwN8PEFJda4ns/4iXJhDTkI2MGhg/glED0655ls17l+meMmGYiBqYMi+XHz/bBRgDfrTowSwPKWAXa22LMSYKvGiMeQy4ArjcWvuYMWZv4Dpkdst6jWK4VMS6gFf0YJYNnbnSov+N6j+r/yr09Uq+hlGV3QVfd2i0qFnCkahnOLWvUPhve10o62anw0kblVPoMaTzB23AnMulk7jXzkJwiw0byyGPizdx0wGjwk3ntsrTOK0jYTld+ndGX3khw38rJLlGR7SzlkAHvivlhfKYziMatg3tMvOLkv1OAGBYIs4Ow8VTSP9Z6jizX3mfDX4qJLfMQGkfcB3UufL6cHC9P0+U8kxVO4t0lvxjU0Rg/CgjnltuyHhaNcQrq5VrMLXVcuNBUiEaeKz0Sd07aTafz2vVY4gXF9eqlglyRKZPkvXMkGN6W+5De1Q8xd6zxRvKTFOZhi32pc133d/yUtpEwiR2V2A8g1fMwSwfxhgfeBPYAJhgrX3NGHMm8IQx5leI97vtcj57AnACwIABA9bOgrsJ5jeJYZmnN/9tfcawZ08NeXpIziOVrCKi7vuS7rn39iN88aQwV98/Rshg0+e3c/13pS+oVqs98baFvJOW/Y5NSo7B3v0nADLRZDggPqwvGUOwxLygqIYXGS8WfvFymidKWMuxY8Q4eCNEX2XQwEexrU0ATJwt5zmqTvIiiYgHWrWxfeQmjkx7m6FD5ZzbMnLTt/aQ3Mrg7U/hzUdFknPDKTJLOjlqX96c2SDXyshzbu9hdUzUipVRA7n4NulJSvaoZM5nMj3hmuv+p2dwZahf07hQ1vrkgZcBUD8jzfAenW+xvuVRUrmuGxgM+Ksg87CusdZWbK3NWWvHIkO1tzLGbAycBJxlre0PnAX8fjmfvctau4W1dou6urq1teRlohgWFbEuYDB4vrfcf+sr1noVyVrbYIx5DtgLOBpwqsh/BX63ttezOigMc1bG8KyJitHzXzYAcPhR0uuy4O6jKNthbwAydSKFYGz+ienEmRbeIX1E797zCtVDqgC45lkJiyYcOiYkqDlvfo5Xxaa+JFVbSwYBEo6BTHZ0sMt4OAf6YrRduDexaIJGTxKh7Vn5bE3CD7+MQVT7DbY5lLT6RH2VaOe4ZtGWeeRKxcty/U/ZAZsS0SR2bYl4MhNnSWTefNOunKEjVZxsRG0ywl4b1MiaNL/x0YIOfvs/6dw+eAPpdcr9ROQXktEsF1SM7XRuvRIRehwiY5w3v0si/IMaJQG8z/Ba5uq6R1SqePmLD3D5nlcufZFWBI9iiLQ8GGPqgIwalySwG3AtknPZCXgO2AWYvDbW803Ae7PlZj37lhc6vb74u+cRcwOLTP7J5mll6cPjfgDAnX//JHxv74el6e/2WgmBSqMeNYvlT/GXRXITb9O/kkwPKQdH1Yg4EpnJtJPSPIS7Ua0lLDs7rZjWpIRD7VlLUpcW1WpPNrBE9ElsshJKWT8KGnr1KZH3/FaRs8y+8jDZ3aTaE8/IuQWxUrLVEkL3UUNaqf1HT2R25fQfiuzCM4f/DIAd3tmVMhUaT/9LGL3/OO4+Pj1I5jMdmJDb4/CtZJ/fG14eCnbv+9K9ALwZGUpSB7P12VxyX9/fRKpPHdlAQjkgOk/yMpP/9kgo2clBY1hZGGPwo92PVbK2VtwbuE/zMB7wkLX2P8aYBuAWY0wE6EDzLOszujIN4Ks+U0QRXYPBrMeh0PKwtqpI7wKbLuP1F4GVVz7uZliThqWnJl/3+r08bT/61b0A9MnMJafhgRPg9nIZ/AZJThZ6LgC/av2I5rR4Gq4KWpVrxDbIIPqDhw2SfbTMoyPoo9vJhhmtTMVsEGrPmowkRq0fw7FBAk8IaC5UK48ZPCcOrhUpYwyBSxFHZHs/lyKis5iChHR1Z8vrZT27HsvURjnWhkldf/NcshXCw8lGJMwq1T6o4T1K+OIiicB3T0m1pykbcODvhNb/yv1TAWhe8Cb/+Ln0Ku2/aV8Ajj/+5wDs+YNy9n5DHiaZCvFSNpv5HmU95RpNvFFEsMrUKzP/vQdvK3nt5KGiyHfhgve5MCLneStdgDF4RQ+miLWBVGszOStf4j5PimzA1eOkvyUwmdCwuBvapFtZ9Pd7O+3j5ickTGjKBNRE5CbsMFI98RfNITdIZke7cAXjEdW+IathizM02UQVOT1WskmIeUFZXVhS9jukulKSklAmU9EbN+KnYpbIY9pYKeleMmcpq4mfNFHKNG9joyXhOgByXpThFRqivS+qcS1vvUr5fkKmM1qODzwpZfcrtwyslPPLZYVoV5Zr45bDxgJw5znHAND+4HXsdPMDAOxxsZS4W5+8TNbw6ashKTGnRnBBz814437ZhwsJK9MyF/vGQ29kZIXke668UfRsKm0Dbb7kfboCYwyelvlXFcaYvZABTT7wO2vtNUu8Px7pwfxCX/q7tfaK1Tlm9/O51jGKVaQi1gkMeJ633H8r/LikJyYA3wFGAocbY0YuY9MXrLVj9d9qGRcoejCrhWUZmzURFnW0S8JyerNyXXqP4cY3RNzo/G1kqmCLU0uI5Lknjscxz5Yx5A/iCTw+WkIMu6MkeyushUC+oHEjT+Bs/TC8ViGqtZUK2awk1Up02ltAnvTmODUGaM2KS9JaJgnRmqCZdFzCGh14iE1UhNu3aFj2fkK+45tU5sip5+I8o3jHQrI1gwCZFCkflvciuUwoDZEaLcnV5/a/mE0+lSpS//OlUpPTkMn3fKIfPSfXaNBYAOZTzohy8dD2Hyhrrf/1HGYor6Xf7lLg/P7ZQkS8d6cR5KIavmmCOxHxw96it+aIh3bgHyTs2rItwzmf/kvXr4noVDOJkpXX4g1hDF5stW7XrYAp1trPZXfmz8D+wIers9MVoWhgugEa9GbMnHMEABtXxMnMFCZprFbyBHFV5wdhnEJeBvKaZydz/e1Sxt5+lGRG2tSdTxTQz7POoTUeCa3CnF8mc4Bu+ve5RDcTyUlnuIxuk0tWEfPzEgsANlK61Hksapd15aylPiHH7Vkmbv+HLYaNqjuHYEFpj/BYrqxtlaQW8aJULhKCID3FOOz2+Ru03S6NiU2lvXWtskmJsQRDxDCaTyWk+qR6G5rLtUfov9IAOfJ3r+H/ZDwA7XtJk+aip4RQGMTPoNmXdZRnpPxd5kXwNIzbrJcY45e2EyN3JtBYIYPr3GWOeCbMeXUFhtWWzOwLFGp1zgC2XsZ22xhj3kEqvOdYa7suv1eAooH5mlHYdV1EEV8bvBV6MLXGmDcK/n+Xtfaugv8vq5FpSdbSW8BA7RncG3gYGLYqy3UoGpiVxMoajDVhWKoj8sSruUXGbgzY8y4iW+0DQKZMmM2RkKNvQ/Gnt9VlH9W3gqM3kVChWT0XR9nKWKkCATi6XMw3YR+Oe/JGx45nTkK8pcZm2X74tFflzU32Ckl3jpjXYSMksuLhBDFJ0PZqEQLbzzY4gCu+EO5NfZWMLymLxnDfd+cFpQNoychXdH6beDKjYpIwLt3jsvD6eCrJ8OiDV7L9CZK8LtvxVAC++K/oCJeaTJh0ZgMRqNoh285sX6pNW/QRj+vPZ2zPrBYJf0qmvCvr0UqX197I3ECJeRXC+4l4hhaVaXhnrlzvh75zNQDXt35ETKtYDtNaoF9F15O1K8GDWWCt3eIr3p8B9C/4fz+W6P2z1jYV/P6oMeYOY0yttXZBlxesKBqYbgAnsfB4sxDV9tzth+Fd6MKaiMuH2ICmrLzWV93/kbXJMGeQ0XyLU1dJpwPqSmS7uO4zsJDTqs0t00Rq02QzIYnOyZks2FBkGOqnvERmiOjMeAXkvkKin+xY1jjilf+RK9P5RU0y67m0rDavCq4HiJuAksx8AOqSYkSyLwtJbeZRlfxlnPQs/fRkybcMqEwwJ5A1PviHX8jaspJL8hoXFVSpxKjEomn6NErUMN+T3NHEmU301uv2l/heAPTfQda6TbQqtKBO3jOTs+F12aFCDMykMllrxDNYvd4NesFbMxmMXbXbbjV5MBOBYcaYwcBM4DDgiE77N6YXMNdaa40xWyFFoIWrc9CigVlJFEOfItYpVpMHY63NGmNOBZ5AHNi7rbUfGGNO1PfvBA4BTjLGZIF24DBVQlhlFA3MamBNGpvMfPFaonUD+PJ6eULveZHIGNhEObm4JBvjjcI7cdWVoLRH6OJvVCNP4gCD1RA8ocnYxpR4EzObU/TpmBl+FqDZlFDha0JWqfePftHCzrWyj4Fl4mHMapN9BLWDwm7qUIPWjzK/Q75eNdrFnNtVOCo3/OZd9jx/JwDKqyTsijTPA6dap2S6lsCnLFkl+2sW4p/ZUvqseoyYz57l4tG9NVLeGzz/zfD69RwoNPzscyISnt3tx7SqGFWF9vQ0BVGSOlJlfoOEYIG1PDdFIoKFrfLauEESFg17635iQ3ScC5JEttFk2AJx3Xuy/XmTpVs7Y8HXRHhFTP5eySovTyjsAmSqwOrxYKy1jwKPLvHanQW/3w7cvloHWQJFA7OeIlonN3Z6wQxSi7XEqTOKIE9ew4lta+Wog0i+ouOYvEEuNAAJT/Mtyjbd7MOHCLYTQ+nEuX3yFaIgLrmGfhUJ2p1kZlw+26tU9vnAhzGYKaHM90fIzehlOqhNioFr/FJC/dQNkh8Zd82z/Fyl+299XrleG20bnovfIJKfZVX9sJ7qy2g1yZXGg6ZF9H1D7oX4VVcB0F6/Ib7XmWTYMv5HAPSY8RYv73saADu98xIguaZ5bZIjcRMSKuIRNu9fBcB+VUKYC8plXbnBx5Nx5EWnVJfLUJJuAOAcfyIA2SpR98vkLL5eU0fCi/kmJBl2CWa1Q6R1gqKB6SKWR7Qrhk5FrEmYYqtAEWsCM6lk6IQ/AnlZAr95LjmtHvlK4HJP9pZ0wNBS+f2jhSIbMLgqHs4ocklYVWMg0ncoV74qIUFlibjgZ/RrJKuqb+5JPbQ6nu+UdnOLVJf2e6PqiE0RryCb09Yyzyej0XvNUWfKvrKy/YSjj6O5n2xnrXgmTfdcySVnyMymA4YIEa2kNsnCL4Vj0n8zqYJt9AMJrWJDRpHYVOYPpT8Uvkpi4UyCDYTa4ZTkZuro1hfTQ/h+6VhZ0LanyLV67jrqSqR65JK23xlaFU5yDLyenfaVsDY/ikWvo/GjNCJVpB4DNgRgofJc2jIBNerFlWqbRbBk4ntlUTQwRawJDGz4gDbVMUkslDJvtscQmvRLXOXEsL+UBr62/vUhdbYtIzeDbwibC720EMQatZLyRf3WxBZIDuPUEXIzZF5/DcbLzWLUcFXNfpt0v7GyKO2DciGNCXJkB0gvqzMiNpIAX75eDSWSr6gwcrN70RKSgWyX1qbEP21+CnePXQzAbY9dLPuYPJFgC2HVmtdkIkB6mshInL7t2QwtlWrNZ5orueq2Q6nqITmdkkoxSCMqZf8jS33a/yjs5eZBwn4+9dFPubVMjFPjOMkPlUb8sPrldGl8zZkEmLC876pCMc+n0orkw+K6kbq9oK4kkg+H9JoZkzdmXYIxmGXMnlrfUTQwRRTRLWAgsnpJ3nUBs5pVqLWOLbbYwp5//vnrehnLxdedi3n/B/sw4mcXABD0ENp5buIjeOPkyZ5NSlI1+r6MKD1tq9P5xS2SZKw8TJKamfJe4ZM0olWnphJx/6sWTQaloDu330u1ku6dF/sGEaxyCd8wwamJ5RZi4XatOiakZywXvj8zLTdGuVZvoh7MUQ3hQuU8l8MsU+3ZnIVku/JYwqSzhDSXvLSYpu/u02mNh4ysY8f//UPPUxLLTtXPOpW8AqSCvECWp+Ge17qQWVG5NvdPkn2cYyX8m/fci/Q6TVouGpI9w3Nx5EK3L6c9bAv6wlzlKLCWaCAeV6K86s0VkONCbLbBAPvSjecs9/2S/c9Y6X2tTRQ9mPUUp/uiHnfeJbuFwtdBf8lNeNsezCIjN1qZPiA6Pnor/GzFUWqA9aaJpJpC4+C3SLWn7CPpx1n87lvU7Hs4ALlqYdXaeHneiCj8xtnYGjUkGjZ5Ke3HKanGe/8ZAOLaeNgeeCSVG9ynVL5ms9SoLGzLMqhKbr7yaL6k8tosySdtUynrDkp7sCgq57wwI42Sdb7Omq7P8IP7ZVDcOUfKTKNNTxrPq/t8D4ARh0kuJvETYdV2ZGyo0+LrukvbFpNVJvHiQCcexHtRo1Wyc8ZJaOe17QpA/TaHYJ1SnoZF1kbC6QZtSoWOLMOwuBG4scZZZD94mS7DkK8YdiMUDUwRRXQDGGMw3TBEKhqY9RRp9bvrzr6WjPby+G3Cy2iLVZHTEk1M9Whn7C26sHePncbdO0tItfAlETuKZdvDyk+2Rvg1dvIkAFKLW8IncJjcTFSEndiOD7P4n3+g/NifddrOahLXtDfStrF4Lu4ZO60pw4AKqa4kVbSqT6k82UuiXijerdQasoFlUJVsn31aeq68/U4nphtmtM3A8UqOHl3LwseFIHjt744E4Pwf3c/JMyXZvUibswbqcba/+jkePmcHACI3i4d31VXPcPMj8nv19jLj6aM2j9KoClPpdYlquOU3z6Otl4SOEa0KYTyUs0gy1KXIpx0c8bDFyr5KawYRNP6brsMUPZgivj5M+FyqJrlcGr9dYvbss6K0ltzzxyQj8iU+vaJz2H3vWy+yZV8h5MU01gewjwgpzWwv+RmvUli7QSaLVY0TR7QLoomQqObyCK/ufh67qIqbmyKQi0j+Z1F7lvpsXngbIJUNKP3oaUDyQgC3LpLmyOpYaX4+k/6I+DEiSbmBpj31GgB99/Mo9SSsGqHj+c6okErNLY1vMW6KVINO2VEGxt0290ektA8o+bmEIR/ntpT1X7ZLKGMROfGnAJzT0MyZ+8jEgLvHTgyvVc0Qqdrdc9VhAGzaW4azJXxDQhfsQsicH8eJ/Zsl8pkmm2JBVgzL4F2k+bL/1vvw8KU/0S26kEv8tngwxhgD9LLWzl4D6ymiiCKWBWMw0diKt1vPsNIGxhhThuh5/gDp7C81xhwAbGKtvXzNLK/7YXWbImObSuKyTV13G02GLnekXhKSC26+gPrj5Sl89oniwQy5QMIXu+h9cu+K7TdbiuC0N+U1Fn0qMqtV+0jism3j7wBQ+fE7NJZLF78bZu/ZvHiIazEYXV8azjdakirWmg3AyBPdaxcuS3m8jNQo6ba+ue0jWZvS/b2WBaFIk9WqUK6iFzENxzbQ4fO5XCpfiVHvys00CmzAl5dvDMD7Celd+tJ4VCvHJNZLeDxDS+Wpb4H73lNCYaJK3jvvNww9VKpUw/8t4lXZTI5f/ljkHDbVIfYuTIt4JiTKuWFn4s1paLlEj1FLEA1DwY/HS+K651YfMfnUu+g6TFjt607oigdzA9AT2A54Wl+bCFwNFA3M14Rbfi0K9iYjNyBBLiS7pTeX0nTtxuPZ4FwZXfrfa+4BwKYlT/DZr+9i6Eky/cXppgVtzdScIg2T6SXmIsf7D6ZJS8txrdDkrA2bJ115u09uAU05uZGdXIMzOBUxnxZfYhin1ta7zOfRKWJsxvSUG3VAhRiLXEVv/FIVvna9PZl2TFoqM161lICDIAtazHK9SLmNhL1rvQhN9RIuDdPZQzz9e7KLpErWcqAo22V1PeVxn2OHq7HS62kjljFbyLFO3VqMd3smYKEq781skvzJqNp8P1Q4s8nL3zpO78ZzYWVBs5H7NXfhb+TaJXOM/I5O5/l7T1YaxmAi32APBtgXGGmtbTRGRnlba2caY/qsmaV9O3Fcm4zMyJXKTGWvoynscm5TQ7Dzre/y6XWSsDSqd2Ka5gEw8KC9yM4Wb+XEj8QgnLfL3gyOyZczpjdIVL+sQVszlQnlp6hAVLuXIBLJD1ADMLm8Hkx41xTwPxq0U9kNSHtrXhv7D5KcTUZzB35GS7uReJhEdk/9piBKaZmW0st7hYdxeRMHl3S+9Z0mzhgl+z+9bntAPKUgtKo65UA5NX7LAvwW1U1qawBkEmSH3gJpNURRD3qXyWv9y+Wnax3wG+cw7fYbAOi9x3h5b6v9Qg5NhzZm+jrpvtLL8N+Zcr13+kDaPXLZDPFt96XL6KY5mK74XAbRiMi/IGFTywo/aEzCGPO6MeYdY8wHxpjLC947zRjzib5+XRfWs95gVYaxFVFE16BVpOX9W0/RFQ/mJeBCOodDpwHPrsRnU8AuqvUZBV40xjwGJBFl8zHW2pQxpr4L6/lG4pXzZFrAtk+KwHYQrwrd8doFMqfnnYf/zLljzgLgut0kf5J68w8AtM6cz6XnSxk0ofsc9urNzItLPiSVk2dKDyW2lo3ZMc/yXaya0D2G4ak2S7uVL+/caC966obN6kkl1MvxTT5n46or43KfkQ0GyftOTlNDiWxgaVePwbXlzG/LMqwmT1BzMLoOFyK164jaM2Iv4KUkRLp0sehSBxjK5olIvm0SbyUYOFZ+llSHnmAhErrepNXBca3NYX4oN1PGvX5xn4yc3eDiS6m4VEKdIOI8o3l8kZYrPadZKml9VBGvd1mcnQbKe5FeRwGQjpXTvESYujIwxmCi3c+D6YqB+SnwX2PMkUCZMeY9IArsuqIPqiqW83Si+s8CJwHXWCt/XWvtvC6sZ73B1+mtDBwv1PbmaBUgN68zFNkegwCY/+IEHuirzYVTJB3ml8v25aedx1HfuwyArX3VYXn9CbIbiMFKuhtDLcKcymHUuuFqmkTsyFmSnoQmvnJdKuN+Pp8QlmN1vEjEo3+HhGWB0uxtLBmOPnEsYoeIZyjR0CWqmrWX992EM+eIBm5vnTTgGUhrG0JrIOvo0zBV9jliB1BD0HrJsQD0/Ol54TUKekqS1xY83Z3RDDVlInFSegvkdLtUPMmstLCHg/7SmjH0Bglp0lGPErcvvWZBooJeOtxtjwv+A8DLN0iuLEIQhpHuGkSzKbJmFXIpxsA3OQdjrZ1ujNkY2A8YBHwJ/Mda2/6VH1To4Kc3gQ2ACdba14wxw4EdjDFXIbOpz7HWTlzGZ09A51YPGDBgZZe8zlGU2Szi68Rqji1ZJ+gSD0Y9jb+tyoGstTlgrDGmCviHGqsIUA2MA7YEHjLGDFlSB1THL9wF0uy4KsfvLtjwGXkaTr5QnrJvzW5mZL2Ucq0VX+aQXzzD9o3anOeaAHc7HoCXZjTzt+FCLvvJuVLSfeHnJ7NgsYQYg6tUPFvd9KgHRntz2nS2kpfJz+1xqviNGUPJErOPOhVlFwqrtr1adGQaSgbT+1MZa4sOTwt7mDIpPOdZaNn3ysYPqVk8WT8rkzIingmHsT3yqYQ8x28kYY7X3hiGMgN+ISTCdLycVqUGJ105uSBJ7Jo5G1QUvaU9Q53O+HbJ4Jhvw6qRl1atnZw634HHMf8UTy2mpbTf7DcknKjw6W1CC7BqCNqyNrzOjolcn16MKetFl2EM+N+wEMkYc/fK7MRae9zKHtBa22CMeQ7YCxml8Hc1KK8bYwKgFpi/svv7pqH1rgMAyGqD4H41TZh2iRw/iUsDZPOiJn5+pfBYnIxmRGUm7XeP4OomyUP00tEdHRePp1Qb/ZzsZVLzJ7NaMpTViKZsJpsfRO/g5CsjZQPCEm1Eh9m73IqXTZH5QvIgiaFb63EMjHCVLjffWitTkXhYmWm6X6oylUdfSFrDmrenyxTH7fuWoJ9krw3EsDSqYSqvKsdWF07hUPZwfn6LHrPgqe+0bfRaVMW8MIyzCQ3jInE8bckwn8mYodwoyQI0Zw1/2EWCpMZK+VvkIh6RVFN4XkDYOhD1TWhg/vWJfKVPKPucVGJVUo1m6SkN3QArWnGu4F8UOBIYrr8P1/+v0AsyxtSp54IxJgnsBnyMDHbaRV8fDsSAVZ7Bsj6hMCz661//WqwqFbF6MMK9Wd6/9RVfuTJr7Y/d78aYPwDHW2v/WPDakcAeK3Gc3sB9mofxgIestf8xxsSAu40x7wNp4OjVHZPQ3ZGdPRWAWLmkojIDtwi5In31afidey4iu1DmH9u3pGdp4i9+D8Au/3cDGQ1lnvm/6wFJ0Fb+T95P7yp/0oRKVfYsjYaEOQffED7tcx9J/5C3ZT735ZK8oYZKewO/PVrE6X86RCpdzc/fiHU6MS6pqrOWvGwKqz1LTiri044YLYeLvsuODzwon2tbTLJEPJeaKc/JPgZLcjsVqSbQ6+HOJeHHQpKbWQbpDdO5nGusxWplK6Kzp9J1w0KNncjwbQGY0SrrL4t5ZHtICFihDZA2Xhqei4MT+PaNoUK9pYNHiMTpIlMfMqa7BgP++luOXh66Yvq+CxyzxGsPshJjDqy17wKbLuP1NOIFfSPhvJiueC8vjZAbbtNe8qWtbJgR3qCxAhfZ5SQqvy+q/M8vEBLbfaOO4e6xu3Ta57wXbqdle4liezhdXSs3f49sM1kjLNxY4fdXGbQd20jDX6VN4zeKtKanA+5dF3aurI4TP5Ih7+/3la7qjB8P55K6qmzUza32ImF1x7FxB/mG+y6ViDzbKF/LzZNtxLVb3JTKGoecJiNBpvz2MLLh9XCCWSbfyOwkQrVyZJczEM4JUaVqdUKqhViDlOuzlcIhHZiWMMqfOz00JvOqZPuymBfmiUpy8jdwI0oCa/FSEu6VxWX9iztyfLa4g67CLnkO3QRdWfECYPwSr+0ILPraVlNEEUUsG8ZIP9by/q2n6MrKrgb+Y4z5KzAVKVUfgpDtiviaMD4pCd22v/0FgMUHX0Dy378CYM4eQq67Y8pDvGQkKbnda0KwG3fbjQDEKkq5/vxbAYiG3UiWmM79CStALmyJl4chkksAV9o2vM81wbmB9P6YIBN6Ui4J3Kxejm+gVJ/2Tl/loyP2Z/D9D8v7LhmsPo3JZUIPJu76iKzlqE2EQzPs+D8B8Kvz9uLgXuIBfHqthHvzPpSEtN+yK5ky5dzoDWasJZ/i7RyGGBss5QF06hnSn+mc5bEF4qXsU6VNjCXCi7F+BK9D1lP1nDQservl6xtOqiLS0SD7zKYJ3hGlv9atRG8m5hvG1JfQdZj1OteyPHSFB3O3MWYy8EOkpDwT2Mta+8KaWlx3wtfVLuAmKd4z/BgAzt3pVKYerNUJNQAflWzEAI3tM1HJCfT+pYQXL01vZoyWmWNeJtyv76ZR640duGkEmQ6sL/t3lSXz3osEw6SjOKEGwGby+YcqnSftdGkbUznSWuZ1wk0bb7kPHzfrhMmIVIzm/0amrVX89EaaO6R8HBLuPIOv4cwHd8nI5BP++h67Hywd08MvvULWf6AYT4wXhl5O3NMZMsjnYFoDOd90YEP937C/ySyd04h7sG1/qcw5iU8n+dkRr6Yko4zfPU8EYFpzlvK4Iw3KMcsLhLsiveTv6eQ6IU8R6DK6YYjUVR7MC0DRoCyBIpGuiDUO8w1XtDPGHLG896y1D3w9y/l2Y35TG4fdOwmAF+4RGYZtjzqaP/1MKj/+TsKlOHpsb6bqLOXeZfLTb5EE4451MXJxJ7ugo1izHSHfw8wWMlskKe58UN2PmEonzEnJ9r033Daktjv1OhtNhoLhuXf+C0BsO/lK1JZEuL+P5PBPmCR9O+31GzJIz+vzlio55nyRb2g9+4e8cLyEdCmtuBw3ugcZI1/HhJL7bj9oY+braNeWciEB9txYQraJraWM0eKNm1DQtzy6lKqcI9B52SD/XoEn4F4rHKhWrR7J3W8KefCsbQfoWnPMMxKi9dJdDSgJyGjo4ig4aV+vnTF4tXIVOiebV8UTMaFEaXfCSo8tMcZ8scRL9YiBmmmtHfJ1L2x5WNtjS7rqnSwrLFrRPmbq7OmKuOdmpoVTEee3ZcO5yXHj1PybC3RxVTtXmwGDWCkZJ4Ck+/BM/vfSxmmdjr2gtB9/nCQCVadvVhu+7qQH4gX3wtv77AXAfc9+CcAtzaJ/22KjXKxSlg63tLwX5jycaFWkXeoBkUXTaO69SXh+ANUJn3anS6NhWYWXCUefTO2Qa5DV6GbTvc+k+XkxUo06ESAe8fKSEopCAxLO23Zl5cJqUmE+Ro/phqv5jiBoLR8tkH1s1VcqRdnAhu+7HJOjFTSmcuF1r42ogYnEQx3i8tKSlR41svmmm9hX/vvEct+P1/Tu3mNLrLWDC/9vjIkAVyEJ328lvirHUgybivh6YdbratHysMorttZmjTE/A6YAv/76lvTtwaJmCWt6qEqBsVkaM/JUdeNFe5VGC/SdNEGbqAz3ET55Vbjby6aIuQSnEt3SNi+t4HgfZpoQ4m6Zk+Os7aVr2Krn0JQOCLR3Jq7JSa91ISW1Uv24bbZURmgVj6R8ykTqNCybr8JTgR8NK1YtaXmtUsOuVL+xISemlyZQLRDRHIMjzhHkmJuVc+hbJu/N0MTx8F0PYpcJMgvq2Z+I9xR4lSH3Zql+KRuEHosbytZY1jdMMofbm3wHdk3QIOuPCIclEfWZq2NqW1RuwjOQzsnvLrRyRMSeiz7i7aiEdjV1rie+4GBdxOryYIwxeyGytz7wO2vtNUu8b/T9vYE24Bhr7VtL7agLWF2T2AcoW819rNdY0ktZnmeysh5LbNPjaHlW/q4V2qznhn9l8ND588S/4i/TkbPhbGdf9xFoHsV6kbBJryQulitrC8ZsKLIjhYx3znBLRv34hrSrPhnKUkpvUpkEE2QZcYeME5kaiIH7fLGEC5u/+RqXThGi3an9hY2bygZhOdtpvrRoRafUs2GZ3Lf5dbnKliMB4kO9Xo/F2uAzxJe+n//+bGfK1ag9+6W8tlviU7Lan+S0Z5zFKaTUt5TJe/PbsvQrV7W9ZVSgnCH33QAEa9m2nxibypwc0+to5jNfqml5wT/5peOff2LjE67Qc8oziyOdo7iVw2omeZVFPwHYHekBnGiM+Ze19sOCzb4DDNN/WyOOw9arfFC6luRdUqm4FNGCWaXu6u6KQoNTDIOKWHtYbR7MVsAUa+3nAMaYPyNib4UGZn/gD9qu86oxpsoY03t1Joh0ZcVL9oovQga7/GlVD/5tQmaiPOGbn78Rr0n/Xs7l1ad4KmeI6JPUJXSz1iOxaCoAuXIVifYSYdVjyRGvKetRkhIPJqJVn5c76tm+Tr0JVXVzHb++gYiGRmESOdMWehipuIZj8cpQHKoqJ0/SnjqDaOIe57GLDk1zbQqvXv0cL16yM9CZ66InnE9E688E2VDEyV2XnJcPDx2HxUYkzKpumYM3Uyj9/xh1DADjW94Drda46lTCtUZ4fuiZqEIDvcuioXcVKUgGhzeyE1vPyT5ivqFWZzeZFgmVTu2zO1c0SCd5v/HCOb3ixgsBOOtHl4aJZevmelu71N9spbF6IVJfYHrB/2ewtHeyrG36AmvewFhrj13Vg3yT0FWvxVWI6oZKgj+y6EuytVJ0C5bQ9yglh9/auZn8ukntXLiJ5E2cpGVT+VAarbj5ZWUSoc5RWu0F/57E/31vKABem5SFt6v3CVRKwBmOuHPng0xItAvHb8RKwbFS9Z1UABG98ZL62RGV8svIz5/F9u88iP7PZ2yPp9bBX/K+sITVssBVaIiERs/Bs5aIvh9Jq2aNL+ddkign13sjAH64nYRFZ5SN5tYGYSC7ENL6Sw+9d4h6JmQxh7msgpvY19J+rEQaFX1TMHCtTF67ffojlIzvTGb/+U+FUOjffBFnDdf9a+7LepGwMtYVWMxSY1GWQK0x5o2C/9+lOkoOy/rwksmgldmmS+hKiPSRtXbEMl5/z1o7enUW0R1QDIeKWLewBVKly8SCFZSpZwCFAjr9gFmrsE2X0JUQqV8XX//WY8aiFmoTSr9vFvc/V9k7dMFDjVh9ovkt8zGLhdw1p7eo0o3q1UhHmfTCLLzhUgD6nXFRngcTiPdRqqNg/+/QwSE3Jt1bqivpnCWuSV5HZou6sbI2yJPMdF2FXcnuwR43OazyWdwz3m2f3nx/5p53NADHTXodgFnNKQZWLltD1m+aE3ZiG5eM9XwSeh0W6TllAkut66HS7cPkdvPcsAN6s6efAmDnbU7mSiP7c20PMR0EFyQqw+qQC5U8LMbr/NAOjB/2EjkpB5e89YzB6tk7Lst7QR/aHxTnPtfTdWTLtZ5++U+xF4k3E3JwEhWYVUjWWvJcplXERGCYMWYw0uZzGLAkefZfwKman9kaaFzdCa4rIxZ1kdu24HeHDegcsxWBMHIB/v3pAnYZItWdgRUik+ilW8Pphw2+5DeSUSXSJSux5aJ2VmvF+Ow6uCr8YvU5X76suWi+Wc7deI7MFiSq8k2FesPGPY+2rNwlbRl5rSohN3/EC/I3njN06fZQRtPJDeQqevNJmxyrv1ZeEhr7tKcD+u0t+RYmiIFp7Fg6zxAarVmf4KlCfmqozJWONUzHZMV41FTJQzQTi4cGzhnUWWn52aeqP3628zyij5+6hb47iYrfF/+9TfZVItffS7fh6WA317yYwSOm+wgrNDbIi5Q72c1lRA7RnDwwTvzta7y0nZAXI5XyN3bh06BzLsZoSTynzaAmVrpKyVoLoSzEqkBpJacCTyBl6ruttR8YY07U9+8EHkVK1FOQMvVqp0VW5kx315/Rgt9BBgfOAVZaLnN9QDHUKaJbwubL/au8C2sfRYxI4Wt3FvxugVNW7yidsUIDY63dGcAYc5u1tijN8BVIN0qC9sXp4n0M61HKgAqn6qZeRaoFv1kkGd5VivvWSju30WQ+fFLPocRkQ2p7kKzWfeWzoSmrXoR6JqVRD0/DIRf6tBOlREOGkpCs4fbghdUbp79r4+Vhxcr9tMYwSNlxi7UTOl6S//p442RUR/+nRb92gx5LSxI4z4q6/sxICrnvvL/IqJL79+pBTj0X55XFUo2hN+GuS2lUx776Xqjrm4jIa/0iWeadJF5E/S7yVX338ZsBGFhZgnGJVqd6F1gCR1B04arxQo/OVy+uw8+fi/PavI9lAufVR47D6yWpj49PljAxepMo8n3/19O58T+XAbDjY/fJ7pchG7Gy6I5ij12pInVb47KmvZYGbTSsH39ep9fnvXB7Pt5X8lvw4UvMGi034zgtebp+nEXtOUaXyXZOdyRXXiAQ7fRYbBDmUhqVOVut419jNktO5/S4Ae0JG+AsypLhUKRxFsz6tNO6cyN3CSs6TlogGTFhz03PqKw3OksGxkfK63m5SW7Cvz4zBYDzRxrSVgyGMywd+gie7vdj0pcNAPzh4OF6atnwZo+oAfYXTyfr5hup0anQcNK8/jB2MxE+X5CTEOnduRmua5N+qecfFpmHfS+XuVH/uXQ3hnoNna5je7KeFjWWvQIxVl6mPTR0DYhBau1YuupTO0qc+XEWXpkjf7PtrpfeqFN7jgHgrDde4KFfyrmMd3/Ppfa0crCsvgezLrCiqQL/tNbur78/ubztrLUro8u71lAMg4r4JmI1k7zrBCvyYF4t+P1lVrMm/k3EjEUtDNn19E6vtT55GQAZ38NdsqzqtGa/+ISarZQ0ptu72TzTGlNc9XoDAOfsICGEb0yY6PRymjgNckT0Se6qLA7WRPKJUT1AYPyQ7+Gc89jn8qc9ZfTx4WcnfCR67l5HI1ntv3l/nnhn4+q8fHJZD5CtlgLia4uj1GqPw4ePCbF7wfm3UREuSklvevC+ZVHqhmq456mynh/Fb5dzd2NOsvXDws+GqnWOYLjxTszRPqUyJdVs27+CR34iQlnRZhHF+uBaIf5Z38dmZP12oozWLR89npcXyWt90kJozWy4Iy3qFbrO7AsfE6/s5O0Gs813fwrAb393OQAHjahluM7h/bSjNwA3P/EzAFqH92BfHSFjF03udC26CmtZUZl6vcSKpgr8suD3y9b4ar4GrG3v5ZA78jb4uEmik+I3idpZtrwetGmwQ9mgT272Ew7QHMnC6+XLeuVl0ob/yzsOY7OjpRQdCmUbm5d/1NjdZFvDGTyevubkHYxnwvAnky8ohwPUjLJ8U5+8DcCtz1+DP2iUHFONIDagPFDD0lMMx/9NbuaAjeRmdKQ99GdJSwePfiqhgJNQCKJ55qzLJzXeey0ALT+8Iq+U5wxHpj3UrEHL7M33X8+Ec/8BwCytSrmbd/tX+rPbFmLgTtpG9FoqYl4YRmRKlfWMu44GG1cjv60ImRtglwrNx8yVUNTLpiiLyXl1KBv4qu9IGFfbPDV8eHyQ1lGwBCHLOGyA3Hp//bwNy+Vu5tOSejUri9WtIq0rfGOIdsWwqIhvOrqfeSkS7VYZJ5pBAIwFHjxbJhhuKDPkOMoXqv4WHU20R+VJN1N7V747vIcIaJP3XG76p3gyr486gs11/6FwUpALZRocIS+brAnDICfSVGpknx8ttmxQrW0Buq/2rKUpJx5DUkOf2HekGhkYQBPQee5LK7lSSbhOb5fPHVb6JWmEzBdYferrAUbVxhlV21f35/g2QdiDZNJCMqseLyNNKv1W2qPCAXL0d9+PEih/xBEFy46+mHOOvxIgnJ7Y9Afxgl7czqN93Pbh+cl68r1czosLp0oGXuj1RZYg1wEsrFaSXA6qsnKshI4aKdP2jVP778Ot818EYHiNXJ+2bICnPVy9yjoLq/cwEJ0nCfT2evFgoja7ylWk3KpFV+sUa4VoZ4xJAM8DcT3m36y1lxa8fw5wPVBnre3SZMe16bmcaAZx1lwpq7qmvs0P/QHXXix5jN7HXg1AXYncIEE8QlJJdSM7JCeQYQTTJfrgwI+FlPbJRT8EYMBvjg2fUq50HETixLQHybF8Td+Nyam7X6Y3wzwr/x9a7edV/LX0mjY+tVr58VTDJVWen4/s9oX+9FMtIeltcIccs6P/5mEOwA0CcDdxYPy8Zo2eQEnUy5d+XR6lr/QO2UgibHyM6M1rgixWq0guz5KNlfHfqVLdGVIteY5ex4rByUU8krrGRNz1UuUNihuklpv2kbwxcsc8mc6FmkGWJqUKfLJQ9jWsRyI0cC5EIi5kvVta3iMwbgSvGnbf5mdYF0xqAFiYgt6qNOj+JjbIl8G7AmtX2CqwXmJtEe1SwC7W2hZjTBR40RjzmLX2VWNMf93vtK/exdIohkVFfJvQDVMwa4dopwzBFv1vVP+5y3UTcB7wz1XZ99pA+38mAHDLM1fw1mH7AXDcJNGlRRO7AFNOEg/Aa/sMAJtNhhTxXHW+CjJyjzOAfLVpl3EXAPB/UY94WhKijlzXlgkISiX8qNKEaBArzXsPKopUp09Kk2ohMl+Ov7CXCHG3ZwOenSlP2VG3yGylIb/SuT6tC8mp4JVz3XPxsjAZmVOqfRDYsAPaeQkuQRtpX5TvjdJ1e83zSD8rhLNg/7MBSDYKkW/BjedTd4Z4Ik6Jz2Y6MDqK1u3XNx67D5DEsuP2OK/CszlSf5OEcvTwvGOdMpogLhWF17JNJFxN2nQYYoYRSpCjMpBz+eHVzwLw4W37h/1GMf2GPvV5AwAj60t5c6Z4pNsPrAKgomNRKMbtRs762kbQs30O754nSekR9z0k5+bHVknQTngw3c/CrDWinSpqvYmEVROsta8ZY76LiIa/Y8zScXHBZ08ATgAYMGDAcrf7ujG7QW7Kxi0lhLm515jwPRcizX7+dma1SCiQq5TL2awVo4ZUjpKsfFmr1G2OLJ5GwyXShOh6Vu4/Tr6YlV6GXFTifkdwm9uaYUiljmiNalhT0KAY9suoNMOTm3+X3d8VylLNDAnBSFbQc7DcaOfeI0LdxzcJ67R+0yHUnOJudpXTtDbMjXguLDL5fInnd25izJXUhHOqX9tF8ixjjh9P4siL5bOusVJRv/c+2Ky8ltbZ01HjwRJNlybIktXSuCuzl6L7ygbEDz4TgC8a5bVepRFiSi6s0fK9k3mwXiTfYOlKxQXH/Pi27+rqbBjqRF8Wo7CvNpIGyR257XMJMY857ucALHppAjP17z9625MBaPu3GFQ7czIzXpFepBEFshCrImj3bagiJYFLEBW7OgrlTldiqoC1NgeMNcZUAf8wxowBLgZWSNJTXYu7QKYKFEOjIr51sN/QJG8BbgK2R3Q6r0XU7E6li4p21toGY8xziDzfYMB5L/2At4wxW1lr53Rln2sCsU2XkVoauwuXfiJz51qeuw6AyPwPKXN0dt3M0ffLY37Y6v/WXMnsjj/wWqY8I9MJN9hWKjnNL94CQOAnlnpKDajIi1K5Hhovlw3DICde9fklUona68U/klMPYErtZoAIK9Xpazd/dL8cS1sQTLqNjHouFDzZ3Twk5yEF5MWZXEY3TwDMkP3P7QBs9axIJxgb5D0S9XgyqpfrldWFHlhy3ieyTeM82oft0Onc/QKv1nUvO5hcmmyiCoDynKz1gvKRXK3EthJfPQatHBV2MAeaZA2T0BQISXnRcMLk9E0OAeCzRVIF27VlPv/4WyH3FOp2Poc3Hha6mCPfndpfzuO2V29mrzf/LvvVa+tlU6vYTW3JBN3PwnRlLtJMYAdr7efGmAZrbZUxZiRwm7V21xV8tg7IqHFJAk8C11pr/1OwzVRgixVVkbbYYgv7xhtvfNUmqwVnWK659WJObhX1/NH/llDm7rN3ZFtPKjptWnZsSgVhbNznSylhBkOk+S0XLwvj7Sp1nyc9djM3P/85ABfvKorzvT1x41PxyqVKqCbIhVIM7n6LNMyko0JyOxNnyWfH9ZUQLPPAL0gdIpKNLVrCri+JhOpyri/oxRnyud5l8XD0qetnihYot5mCColrtpzbJje0m3zQI+mHA85cg2BhSLIkUtYL+6/6J/NM3WVVV1x1Z6NqDW90XRkvllfMy4jxjiyaFr5/8lAxDre+KA+C9Kb75YXPC6pIi3SKQ7WL+goV7VRy1OnCWONxRqUYbRciA+x32k8AeOB7UiU7o3wTAG6f9RRBUsvxmpsyBUzeRFnFSs8y2mjMWHv3v55Z7vvbDa7t3nORgDInGAykjTExa+2HxpgtV+KzvYH7NA/jAQ8VGpciiijiq2EtZLpht2NXDMwXxpgR1tqPgI+B44wxDUDjij5orX0X2HQF2wzqwlq+NiwZCvXfWrRlF+++B62/OgiAN66TJG9Jyxzay8Vzmd6kg91bPiRTL1Ty7EY7AdCqxK+mlgz9O6T63vSSCCBFp73F7bsLqSutFHPU+494ppPbDvLUjDYKFyUok8mLNpbkgfeEmn/EaAl1/jtU7HxF/3K2Olw8mOqUUO+DXBUZ1d11Cm5b9pGK1xcNqVDUelG7eCa9vRYafi9u/8/PzRf3bvyzPKl77X0SALmIVID8TBsu9xqGJMYLn9ZOzc1VieZTTU83DynsmwrCylihJ7PxnJf0/UHyQ5PlsUgs5JuEPVJ1Q0PR79vmPgdA00NSASwfuSNtmkBPeHl1P9Utx2gIZv0oWa0ibXKFjASadL10aC9raP3WR/yQOw8RInugBKGbH5HJo7ny+rDiFiblbV4ioiuwEI6X6U7oSoj0faDBWvuEMWZ34B8Ice5ya+0v1uAaO+HrDJHendVIS1r+8He9LGXnS/eQm79PLBN+cV0+wgRZbn1T3OYjxkhjW49E3qX+12Sp5Bx59CUAzHjuNipVq8RrkchvUqqKQVVyE1ZmG4ACnRcKmK3q9vuTX6HlTbnJkkfIF9dvnIVpnAtAavA4WdtTUnb2tz8EPtJQbTMpqc9qzdKnxPX+yM3rbpZYLhUqwn3vPrmh7j9y07ACdYoq9gNM+OJhAHIVYtSsGhj86NLsVOOF5+IMpAvrfGPCUM31UPnGhBWfUJYi0xGS70LDpfmc7DIEmHxTkKtxoUhBmOZK3WHjZ0GOx60na+FdbfCsSsj2fVXBr2PCeTy80zkAzGoQo3nImN4ML9OFOB0ZVbHLVucrnmFoZ/LP9K6Mjh2+8Vh72/8tV9CAvTbq2b1DJGvtXwp+f8oYU40YmEZgrRmYIor4NkKSvN3Pg1md0bEZY4zHskcdrNdINQmXoa4kHkol3LWPPG2sXpFFmTgRTZI2XiTSpD2vu4+TthTSWyyjwlANizn7VXH9f7GnJG1dVcgaIKtDz+OS5BtTFsEaJbHFhP/iQgOMh699Su5pOP/JR6k7WuQgso5oFy/ny1ohxw1842EA/E0kPMvGy/GGiWSBC9UGpGcxx5N110VlrdHQI4iS0E7rh4+TTihrIT1EPCM34N5k2sPqVOCqTgXJ0sJqEwjZbNYFPwag/7W/l2O69irycFWzf09eyMHDVAvXTVaMl+e9GQ19nIpd1I8RCStEBWLebgyKhoSOxm8j8dBLyefRbSje7ULHLxpSDKjQcNLkXwPY8dESrpfLzBnbyvelvH0etOl+lYsUhkNVQZig90LyoKE5tQpjSyxkumGd+uuYpt0tzOqcxtaQRxD18r0rPawwZ01Gkgj3fCxfyNNOvDwsRZdfdw8AXttC3mkTQ9H795LnODR+GP87WWNwdwM5RblsCl+HrBWyZf0mqcKHQtAFpDk3K8n1IvX8/rE0VUh5N6nGx8ZK6K/x/id3/AGACX+W8uwtTZNCmctylUmwMz+hfKTcEIGyTl2TZIlfEDoE+dDBLDG7J4iXs+SguLD3piAMic8X3RPrx+h3vchELvkF8YMMRtd265vy86St+2O1pu9u+mzOEvF0nrSb61Qg0j29RY4/MC7hCrk01oW1erM7eJkOgkRF+FmQ83Y9RTFN+wytiufL8Yrei0UPZtH9RxFMl/Dc+1yMoVdeQ+MTooFTdqAY1JSGglGbBSfGHhreDGWxZVfXvgoWllpXd8DXYWCKKKKINYzumuTtSjf1Kn1+XaOjXZ5uVdG8AJPjmjSmctiIuPtuRGpJVCovC1+aEHokzs3+JFPO7wcKx8HxINr/VU9Oae/EnGau/Dc656OwwhT21zTPCxOWrroyJyOJy96RDoybTaQ/s1V9SHgaUhn9XAR8TRpvdJNUp27/lawh5/kFHBYd0zFipzAsmNcq7/VQPeAshqh6Rn4Yqpl8b1FBW4Db75ITKb1sipd3EEL2ti9IIjLnF4wcUTiOjNe2mEBDxnNVua89E+SnK+qTOmnTpJFzblO3prJBEqinDDko3O8H6mFufdHxXPfxnwHIKPnRJVwzPQaH4ZibCZXOBVT4es6u45tYGMJ5j0kFKrfj9+S9aAIzVNbtJC5oa6D8u9J2ka3MJ7EBAqKh++YKBXNThrql9dBXCGvtN7ZMvfsK3n/+61jI1wVXdnZzcRKqKFZmU8RcrJ6W8KM9m+SNWeJy7zZIbqTvbSiGJmcMng7g8vVLPWHIQdzSKJWWW/XmXRSrCb+kriTpqk+zajampV2+rr5qhvQu7xXOeHaVl3kN2ktT5XVi04KUZUM5AC3Leh3N4WsvHyj5oXFPPCwfy7ST01AgXSahUtRATJshy9U9dxoqMd8Qa1emgYYjeJHQCLpwxQK+C/3UELk1nF69FTe3ftDpnDybH9Q2Q0v6r86Qa92WiXHIyCq5VpqPKIl6YVgWc2XtdBsJzb3EPpRK2im7Sg8QwP4D5W9146nbAPDsrWU0PinM2agqA9qaQYCozU1WRm5vrU23ZDIM1YqeVxDIRdyDZdejAOiIyXWPp5tD0p37+6Q/fBWzzcEsC8ZaVOSOlEbB9Umf/33ZtMztV4RvZIjkuqmLKKKIdYdvc5J3nSGYIn0hJw87LHzN0eYcz2OBksdMMkGpjh11CcBm4mztKPb6cGjV7udPFrSwjRR5SL8nvJJbmt+hQ+UAsnHhZyR9w9wOTeBpCFOfEhJcfTRBRoevl8XyQt+Ofu9IY0OrXdI533UcJn7Jc0DCECVeToMRV32L8yRUeGColDd+OOkhcCGbEvOwFk+9lFRUOoPvfE1aHi7coT/2/f8BEKmVbu2g5zCafSHiNSqlvyruE7PtFOKZseLc3tT+MUtqECxOw343yX7f+48kQXc4VkKJWMRjZJ3sf6DjBEWy4XX521Q55jHHXca8F6THqWy4VLicJu+Ze17JVudIWObaMP7y2BNEhlQBhB3OA5XDEvWgvlT+dq5yWEc+dHHVnnQuIK4JdKdGGIqnx8vDZG1E/xb+JruQi+SLBlCgpmcDSlRnOKliXjYbYaf+pXQVItfQ5Y+tc3Q7A2MzHWRnfsRTzTX0rRCJ4OvvOwaAc4++N9zuB7+bCMDtRwqB2C81mIx8KZrKpSpTUjDvJqqRd6n21Cxqz/CI8MPYfvyPACj3LAmN3zOam0g0zsCLK+lOv2e5uNzEfst8elVIuOLi/8TkF8gNkTJyZNFUACrCfEu/fMlVwzgbicMSivrYgHJlAUc0P3DgdQ1ynKkfEOkjDZA5NTAZC81x+b3GkxvvuyPFmMzrsPQdKNcxp1MCcokKStVglGekykMqCEWzZ10uyh27vi2Sn0EneQe5pj2yi3npXCl1b/C5VNIePEr6eD6c30ZfHUjXlnGqcSYk7m03QM534rDZlH4kc42IyXtn7inSErdPf4RT+wvruuX5awD4dWM7izvEKDjDYjQ07MhFqIhp+KY5kpy1IdvY12sb8WKktLLkDE2ovYMfhlKfnydGbdBtD+YrRK7K55oZgyxTVWb0188JkXPvkT2Z2aTXtAvors2O3c7AFFHEtxHWQjpbNDBrHE05n8ebahhdX0q99rN4A4Te/6v7j8M7SKYrug7n12ZK5WJ4TSIMHaoWCWeEupGUevJ0arn7CgCSvSUxet/i7fnsU3Fv37x4a9k+lQ37X1wiMFdeT31OQq+skSd8WmPlRHlP/A5J6HmTRMYgGLt7OHZ0zlCpRLknZZlLshYgOnUiuT4iUBXyUArp76XyhEwcKnINpNuwqgPshr370ZKQ59GqGrTDe8gJxIJ0KPng4Kda8tR8TVibXDr0BgaeIGNZUskqeS/IEVECXHtc2h5iZbXhk/+zW6WXZ94NouS32fm30qjeowtXrCH01Hrqt7LfDdfxxbXisdy1pyRt9//oNXlzbr5d5PQdRRHw1oUvc8LjIrL9wPUSWrkxKoVVxEXtGvYl/DzvSJPJ8aZZoDwW1y2eUO/WM16YyB90yN6ATKsMBdqX4AdlvBjlcfl95mL5Wzz09kx6lHYW7FoZWPsNF5xaX7CoNc0DE6exUe8KzttOXHp/Qw05eg3ALhZXdHpMyU5an23NBFRo6/xCZdDmAkt5m5R7Lz7tr52OE79nR946R+YFGc3ZWD9KRsvZvnOLrSUdlZjafc+SqMIdcdo0l5EcJ5WG2OwPseruV6o8gvviGGuJLJSG9UANR3bg5uEXttXKzZDwvXzVY4mem2xpbVjCdjAmfx1cbsrN8KmOx8JyudtHEInncw2au7HJSvwprwDQvIHoncQL8i7phBiWuJuLnU6FBjGnhqjubJkI0GFhtuZI6iJitKLzp5DqK4qBESUiZmsG4V0mLOBrGqRK9YetRYZh3lnjw4bG6b8UJsXpPbZlWFLO4Y0pYoCa75EHR+aoK8LGRnfdfc+ERiSlubeKil4kFwqx7pFmkekYrnO2pyxqYpcPZTidv5c0fsa8gr+FYzNrPsdaG85MciNyTZANZSyuYeVhsUUPpogiilgzKIZIawkDq5PcdcjGJBqmYXVIemOZ9NmUVvULe1XemiGJtOG14l00p3NM1tlEnQlL5Z32/4Nxsq/ttg/IfTFJtt9EXHwv00GTToWvQ/YfWTyDiM79aewrlQ7PyBOqfMFkTJ2Eb05EO/vF+5hNpfoR087ftJNSyKYISsQTcGLeXutC5t0mSmk9T5YndUOyZzgxcMk/oIclW6NdvKYgSanJ4zIr4Vwurlq3gK/vFSqtuW5um9DrE+TIzZesd3yYtgjovKZPF2fCSlhzVvWIO6IMKNHQQkO1/84Sr2WHAUnaMo7Upwnu2iEs1IpVT71Wv313ATsPEk/Oak/XridtC0DJmTfw2DQJP/e88tcA3HppiqzOMnKd2d5BUldMP/NropoQXxyTfZbF/Hx4o+FTW87SooLhgyOyxp/cL9yn1qYUe524v6zXJd4NuPveV88kooTCdq8k7L9qIabbxMKQuCtYkyGSMaYG+AswCJgKfM9au3gZ200FmoEckF2Z7u1uZ2As4uZnqweEs2/KU9K8OD9bzbZni8r/S78SEed/q7rcCa/+lvZKYeHWKIv10icnc+t+wvh8UPffY5iET19WjaK/3lxvz5Hy6cjaJNUqzzCzVQxX/3gpxKQU/b8vxbht01++5CWlPcKeohYNb0q3ORQckUz7agLtjerw4iQ9nQ7gStKlPag753pZnOZzyiMWVzt1TYCd1ONcqOPyC5mOcH++lk0zlbJm3zNLSzjaAKsNjW7sq33rccyWIv/gvuaO+DW0Os6cFtn/qD0lz/LeEzeHIV0pcqPuXi5/p6ypYHC1hInvLpb1j6mJUqt344xAKl47DQq46imR1Lx0L/nbJX96S7ju79TqFAINb1KxcqK6Onc9MrUidt6+x8m4IntFxDFt81Us15s1rSnFLx6XY77xhNAgpj4gFaNI6wJyTqFOQ8hcYEPm7hwN+5J67WpSi0j7PcLtAD5c2BFW0LqCNRwiXQA8Y629xhhzgf7//OVsu3NXZpd1OwNTRBHfRlhLWD5fA9gfGK+/3wc8x/INTJfQ7QyMByQ8i9e6KBz74XpuapI+JZWSVHVu6PGfi0eTSVbTS3nvpSoIfd7OQ5mlvTk3t8kEwOiXkhx8uSnNAOWMOOGheMQL+WR9EvLHnh8ZQLVq2m5eIk/q2laZ/4PxwrYB1//04owWtu0nnlGTFc9FxQ9IZvL8iHD2UNQLx48GLQ2yxopaWuqFuxJV7khIGMPgudCokPy2BBHOJTdjFHwJCkW/1XPxZ0nFbdqYA6mJaDijny1T4l2jjYe9Te3/EGkJm53NtJQk2ktKdRyKelEdOUu9bt87Kw/DxXfeRPXRMu6jZ5kIWiVSOY7YUsK9Xzwp1+B339WKl43SWiLbuVElPoRjed0MpE6TJl1VbZGIdZl0OxENJz9vkfUMqU5w3xFjAUgepRwqx29JVoZeoQusggBmNmvorV6Ka8N4bq7hqGNOoRBNL08gtQp2Yg1XkXpaa2fLcexsY0z98pYBPGmMscBvdNrHV6LbGRiCHF5HI166lXadqXOuCjFfeeOBPH/5VUCeMOc0VwAqPhRiWPrz9wEYsvVe/KlBCGeHjBS3PD1IpCfHNc7GZsUA9NGZw8ZavCXmETWmctR99hwA/aqlxJ3TPAqeH7rqTnNlu/7l+O0Nsh5VxXf5DoJsSDbLaBNmhIC5PaSaVZeQkDBTM4iWDvmWpnJ5YW/Z3i4tq1CAdJWSDK2Tp/TALiMn4CYCVIgRr4z7OPXDuOYtMmoakxTkk3qJ8HV0wWc8OlmMx/GbChGxpUb0chIeLNlz1ePQ48hq+DFdb9gBFTF2GygPjN0HbKjrknU/Na2NO/4nkxUO2UKqiUcOjWGmiBJfMEKYzXGdWtDy9F/pWCgh7NSn5O8//d15HPD4DQBsoqF0EPPC/isHp0LnGYPvJDA7xAB7JT3oXSZ/Y3d93MOkb3kNzS/cJNsrSzmwAfFVUFCy2JD+sBzUGmMKpR7vKjQAxpingV5Lf4yLu7CM7ay1s9QAPWWM+dha+5W9iN3PwBRRxLcQK+HBLPiqpKu1drflvWeMmWuM6a3eS29g3nL2MUt/zjPG/APYihU0O3c/A2MDvFQrT2x9KCeOF3LZ1T3kSVp15Fl8uYRamPNkGlM5KsdINcgfI9MHcy3z2bmqCsgn+WZrsnKDitqQyp+02tuTy8sYtASuU7iVYaouZ8NuZHlvll9L747OmuhevByjhD/Hn3B09SBZHfZEuaeg19GqZHPwUvIUNEGW+rR4B67qlNPKFTZ//oX9TI4kl9ZeqqR2dxOQ79zWZGUqGxDXkbFlu4q+cMtTV/BJRkK7wZWyj0jBk9h5ai4kydYMYnsjoYXj3iTI5o/pzmmh8JaC6n7hh4cgBQx/5jyy2r7g+rac57NHzxx7HD5c9yf7bf/77Vh9ypfXiwxErkqqgrNfeZ+bfz8JgAnvCbdm7OCtcFfLeRgm0w7qPYYcGRdO+oaKD58FoGmidHeXHXMJOa0CuvvfXZd4y9wwjHed8DIvahUU7YB0tuufW0n8CzgaoeYczTLGOBtjSgHPWtusv+8BXLGiHXc7A/P25NmU7P1LjpvRRLZDyoG7KalqckeOwa/+DoD07sI2dbOMfZN3vV+dLjf9vsNrqQ+0HKs36IazpLHxQ7s9IwslIQFsEJZBy7Rxctt+5QTN4to3JyV0dTdUb9qxvja2uZvYi4RC1qGco1ZxMgVPqVi2PXwvrPw4xq0NsFq5MloSdTr81o+GlSW3butFwmbHRJUq8SPn6weZUGLBJRHbs5b5bZ2nGyyMVHPi74RF++hpIo/gZCckbJUKl9F+pUVBnNdmyDFrk2Ii4xE/PE5dTG6WbD8h13ktC/A/f73TMSmrwtNQJJwc4MhsyeqwkuNkZBKHnR+eS8b97TSkGXL9ndz6Ky1Fq/xCxDP5SQFKoIx4hqz7zqiRL9OQMN6xmFyj/C1KBg2SdTx3P5HtDw2vM+QfGDYSy0tmuvXk0rSyKkzeNVpFugZ4yBhzPDANOBTAGNMH+J21dm+gJzKRFcRuPGCtfXxFO+52BqaIIr6NsHbZY1O+nn3bhchI6CVfnwXsrb9/DmzS1X2vFQNjjEkgsVpcj/k3a+2lxpjrgf0QnYLPgGOttQ1fta9YWRX9ttmXm1+6jVvf/LceQJ72dTNfY9aOootaryFA1s+HSKP3PBPIi3JHpr/JlBq5ZtVK6d7lQfkjPnqRz3xvkLynXbhNEy4IKx2BPqmNgUy55M6i6uJH9YlnbTysOhQWcbwCbwbynkbM8+nQhGJkkSZ0e25IoHycJsTzqQg6Qvp9oWA4SJjjntr5RKrJC3U7EW03e8gGBclgWXd5zKM2LeNZ3JjbspjHc8eJB3VamVSwnj5J+nyuPWkc+w6RUM2FGj1IcxxvA5BLSkjaoaGGF/WYo0vsFZf1d1T0wa+UcMZ5naWk8XXkSXjttI+r9e1XKd9d2gYaaiWxHPMjYZgSU+/DeYs5Px7KHeT0l0zOhiNmQ1iPkqxOpwxnPKnYeaIStj9ML2k+kW7d2FkNlRZor1PUS7JIxcSGVqo2bySOvwq6C0Um71cjBexirW0xxkSBF40xjwFPARdaa7PGmGuBC1lB/X3DvhU8etWenFk6Knxtl3deBuCAIZvTy5PQxTRrmVVvnj7vP8/WR8gANeMU3OKl9C/XfIIyPwdsILmHl6c3snVfCYda1WBUHXMuX1pxpd/4QkKC0fURBlZquGHyfU8AczqgQ6srw0t13GokSUxHkqZrBnc6NuR7huxi6ccxtYPzpDf3vfSiYShlcSVpeSuCzYdGTqfEeKF0gyvVBoUhh94sbt01SY+GhIR7lXruEc+EhtSp1+1/7yQAHnpzBgfqCNhMb/m7zE8Z6jaWh2KT9j25eUM7R2eSfvC3sp7jz5VllPUMG1Qdu9akOmisHNz5tVGiQVM6cAxZVe4r1zCXVEeYk4p+LnIdNqVTFDwPm1YW8yhZ1+y2gJLSfHgKEAuyNHry8Cj3OpMZ8fzwoRDKexo/lNhwSn/1CSXyGZ8yfTildP9eYIl3ncjbbXuRVuFUuw4rcHdRVP9Za+2T1rpAnleBfmtjPUUU0d3gqkjL+7e+Yq3lYHQu9ZvABsAEa+1rS2xyHNIPsazPngCcAFBlIvyx39hO7+83XLyOdGCJtwiJyiU1s7XyBDRjd2cfX8ni6jabXDqku7sqyICTjgDgvKOv5PFrpO9EWe00xmqI6VNkiz7y9By5xxk8+AeZO7fvYEnoVqg7UVqeCN19RwCL2Sytj/9J1ni4UBA8HYyetcpjAXLDt5N1vfAg2R3F8yrTxK9JdYB2L7teFxfmeOn2/FNWRbEKq0lhf5JTGDBeWGGK6udygQ21jF3fVpo8rd5VuP5x7Obhvk5OSphy+yShXpQM2Z6MHsQx47fr79QDN6TyTOGfTJov5zS8lHCEyK6Xa7vHFbsS12O5hLILOZuS9eE6Qo8gVpqXSlA+k/Mu/FRLGCamlPfTq8wPw8lpzbKvDZlLpYakRgXjcxW9wmscJpbzVzQkNIbJXadLjA3nLXXmOa5aiJTrhh7MWjMw1tocMNYYU4Vkoze21r4PYIy5GMgCf1rOZ+8C7gIYO6CX/fF5BzD39Y8ZOuGP7n0Aotl2vLYGea1RSvnvnCil7NGnHsw+f3pEdninzBIKmhuYpw12vUolnJgwVSp0yQNuYeLM8QAMqpIv5ma9S5m8SL6QvbT3/8tnb2P4d0Wr5ON/SlOia4T0PZ8SlwOyEpKkUgH1h5yp63bi33kil5uR7OL5zMxpYYXIke+8aAlZLcd6uv+M3jT/nZ5hz6FifEIZgSAXuqqh/OYyBKSf016qAZUJRtTqsfRO8g0hYzmcNa1K1qajmQkf3CvrGCzaOX6Qr8K4u6swX+TWNrpOrbcNKGsSqYpJ54n+Tdtfrib1PWnwnKHDzTaY8QwAFf1H5at2asg8Y8Lcknuqu7DSepEw1Im7Xi3rhwa3d5lKZkb6hyFrUCoPLhcOmQKH38lduBCoEL6GwEFpj849YqsFS1DU5F0xrLUNxpjngL2A940xRwP7ArvalRiUnavpQ+NhP2fosfknhfsC+O2N2IU6B/njNwHYS1sspjUu5PETJWE5f74cZvshW3BdlQxNc4Pd2/Y7E4DJT9/KL2s3BuCIV28G4GW2pzIhl6xD6Z71JR6pZmnic3mCbLQKkNyKVe8kV8Cq9WdLW0Kul7BT3TZ+LhNyaNwNmPj+ubTfL6JLHd8XjyfqmXBQ/X+/kC/zPsOkFHzWzc/zyc3C9wk9mUg8ZKe6P3hhCdsZsyOPPguAmiGb8JMTJDF79OaSeF3cnmMTX7xD5gt3xSuT87SpNox2ZzvjE48m84PfXdLZaQVHE+Q0Se6FCWlL5iMpUztZzFueupR7P5TzG1oj+x+ieZQp55yGd708j16e3gDAvsN6hNrHThbTeZBluTQmo/k5TUR3VA8iUOOuRGiy1oZeUOgBOgOZSxNfOBUAXykD1prw2iYXiIHM1gwMr4UbQ9OiSR5rbbjGLsHmB+N1J6yVHIwxpk49F4wxSWA34GNjzF5IUve71tq2tbGWIorojrBAkLPL/be+Ym15ML2B+zQP4wEPWWv/Y4yZgpSun1ICz6vW2hO/akcxD/qURjpFsV7YGBhnav8dARjccxAAVwxRNbIB1Zy1QJ6Q9y4Sz2G8N5/d6sV7iA2XxrZAZ073jhDOQJq4SI42oCwWNrINLZcn5LsLOvJr8zs/NSta5pPrIU/qKvWUM1Gf1HuiDLfw/nsBqLvo1vzJuDKye7IDJYecCkB5gyittdQOp7f2R+2/kVSH5muo98lhbeHUhJTORfqyIUNccyqO2ewaOE1B+HTjHaLYf/k1f+PicbLfXFy2u/A/H/HAzlqVqpHeIqfRkuu9EYt/Kz1gtYefIO95EeYkpe/J6ASEHiV50mFstjRR5qp0WFnLfFJKYjtuT/EOvNHjebuX9BS1Pi+hUb/hUkUadv1mzNDrPerCowH4/Hf/R0lUvIMNVJ8mZOHGypmflbCvulLOLRmkC6pCKqKODedKOX/aVbcSbYuxC6SRNf2/fwBQsvPBUCs9Vs5zCcMiG+TJlNq3VRHz8FuWycT/anRTD2atGBhr7bvApst4fYNV2Z8JsqRNJExAJjSvkInH6KUh/dRW6ZI9sURu5iC5Mf/0JOQ5crTS6xuzHPSCJCVz1XozKHM0VZ7vC9uiWr4kbzVk+MmvRSPkzdMkeTy6blA4WsMRoT7UxOW4hZOxWop2X+AoFq/PIADeOO0+APY5WzVX/Bgmlx9NAiI4hc6TzvYYFB7HkcaT2jXutG0ZdxCBho5Rzef8+uVpXDnvAQDKDhb7nU3kz8+FS0dvIq/9dNpHfNImN0mfP4rR+eOR53JKtUiTXrJQmgV/0WNjlsL5wk3arkeSbQ6T8HPgz0QqM4hKTuPpETuw41UybuWjB4TXsvlvbsKvFlr9J2/IFILhpT3D3E7LQDFE8ZfkPOxme4bGY9MHJRc3/cqTGXDRLwH4rKlHp+sTSzXSS0M6p5Ns/Vg+jPPyYUugIaPT7u2Z1tBw+gfM+Nv/AdDvDMkN5UryjGJPDUtsjoTAQbw0ZCJXL5DhfWbAKIIpby593VYAiyUoJnmLKKKINQILuWKSd80jB7QGPukgCNmapqDS4RrUnFuLzpKJLJrGfv0GyWuquo/xyNaJ4tkcK6FMi/4R+5OfleT0ZobV1PL6JVo+bpXErjUmf3wN3LaJiwtccsLDtDwlUhKNKhtRGvXwRo0HYNwZ/5N9aJLXGo/A02SpK5+7UaW6XoAyMnklO60exbU3aX67T5WKWkdUv+WGPQdCINMWHOs0onKjubK6cL/xdF6PpuYunc5QKi6hnfQUm1TK70N2Fc2Xq56TmUXHbdYnLNtWzRPvJjvrc7yhm+r1k6pMpkJCqx0/eY2J4yT02e7WMwC4cdSh/PQNaUI8+NfHAuC9/CAt2wltoLRhquxXmbQ3vjaL0xfJHGpviHhSAy68KiTaVebkGriwNYhUhufmQiAv0xEm1cNLnMsQ0Wtbm5BrGuiwOjNsHH3Ol4blbFKlTTGh3IbzBLNa1rbJStDZ2HMfFWJh/R5pzPCtWRXYYoi05mGQ0mlZ1Au5EerJEvFMmJupTSq9e6A009HRzCJPwg4nmPRFa4ohTuFfS7A94y7wTpFxWrn6pS0L0vkQRl/zchmSWjlxJeDfzxCj0PziLeSekubL3M4nhOfgtuuxvajzR2YLMza3cA522FZ6ogX5d9fg50rM5JscHWXdGY66aCwMxxw1P77E5EEAv6D5LjyW/vzwyVuI3idd1FMOkVnQfxi8eThV8S8fSGR7x58mAbDnsDpq1KiV1sl7uT5jeHWmGKwdyrXs65i6QZpxr0lo9IJqJ/94zoGcXiHl6Zvnynsm3coHSgsYXa7D7LTx88yt+9CQOQmAGqtaK7H8xERfH/au2tYR9cKHjgubqlJN4dgXN9IkZq2EpUBGp0VEC66fexgc/Zf3ALjtwFFURrTs7dox3OY2CDk0vQ+XOdenjPgh83+/TLrXV8JaW/RgiiiiiDUDIdoVPZg1DoMQuHIWPE97gGxet8OxOxOvyZyj1DhppQ/i1ZSqH5/TBrcNeyRCac1QQjKm+8ymSDkl+KhWXLwIBJ1dautFaNLelZSSr34wWghg/if/g12kwlGp3Adjbciv8NRVnmzkKTqkrA6/eX7n/UcTYaXDVx6HjSZCDyrcl+rOiEciJ1qiFQxyS8sDuKetCbIhn8iJhfdP5Cj/k3gW730qzaO71ZeG/JSXx+4CQN8tZfjYX4dsxnzV4dlTK2T71i6ml2qhBB89KcvYUhK7nh8PeT7b9xVv78zSkVyhs4+CiIamkRibfP6SnrMwhYOPJckeqexBzaCxsu73n5P9jt4lvFYdes59dYSsZ3P5mdFpTfLGSsKwpkT5LXMqNmCXq8Q7ufnfst7dX34IkJHDWeWz7D1awj3j4mPymjvO07T4OImgzAAJla9p/pD73pE+s7/TNRRDpLUAg+RGrO8Tmz8ZyFdcEsZjgcbLvhqWkEpvoEENQELj8ur0Qlp9bQLU7byC8nBkCZq3l0vnpQ91rIgJspQ5o6T7iGjuxvbZkMg06SjODpLY3XqRUCOEcjFEfdQ99+Y2huzRhXG5OVNZS59A1fhfkgpGdPAogkHyhXUGJqV6JrFseyhoFI4+6WgMDZeb4hjOwC4gAIbEslya1icvAwgFkwZ8926qzr8XgAkPSo4k9Y5o5/z0t3khpO/MehSAt866n1H/lN/tVgfI2pyIVqYj1I/x5srf8NbFr2NVAzl46h7ZftNdyA2WPI5r/Zj9mBirPhdcyxuNct2faBsLwM9aF5LpIVW7Xtr65i+YHa7NnYsTrwr8KL6GmoEbytee5dwfyjF3v0ByPK7ZdGF7jgEahR08Qr43EZPPgzkD5iRRMR4ztDTeR5sqEz6cOEb+xmfSBRRDpCKKKGJNwVqKZeq1gWDRbFIP/pKS/X5EVgWsHbEpMD7VoWSk9uo4mcl0G9VaPXAi13P9GnyNa11PSXSOPFHTvUaEg8DmtcqT9ehfPc+Cz8SN//jPQquvMHmimpv/E3iSOG4q6Ul5s5D1HPktKO0Rci48HdgWUdp8e88R/PQ/IlJ9+57yGh8+TTBWqP+RbQ6Q5dsg31MUOO0RpaSbRCjK7WAT1cQ0ORmq4ru+IBvkf3cVFeOFhL+OP0pYVL7H9xhzrCj7pz6QPlVvP6kmXXH9HJqmiqfgJeU4g/ccQ8kMOfd0f/G2pjVJCBHzfPo5CYRK8eI+OOZINnzwX/LanpK85YtX8Zt1BE+ZeKaOf7LYr6BZvY/jt5Qm/I9SOTZqlHUYrewsqpQqYXXzlxi93qH8RS6DfVO8rNN3lWT2+fPf45CR4um0avjjwueBQQs6FRirqnheqhnjvmMaIrU+JrycbHuK/ofKTKWPG8Rr2aA63olz0xV0R6KdWYn2n/UKI6sq7B932JrRf/xTWG50MEEurIS4fJg7u1i2PZRddExbC+HAsA3K5DU3ZTHROh+mTpJ9zZ4KQHTL73Dgv+ULf+/hIlSV+M+NJLcUPeV0HyGW5XtwOsIyeTiGJJYMXXRXrXBzqMll8JuF1JX7SHINJp7EqoEJjVRJNYGT3dT9urg/lQ1C0aUSZe96qebQILm+IwevQMN3WXDrzkSSJFWhP/OpEMUio2TKovVjBE5vxpXvC5r8XmmUte5+iJS+b7zjZxw3VnIYkY4GPU6axgdFCKxyGylhByN2Ivvv2wBIjBaZzsysqQBc1L41l+4mxiOZlRv8p0/P4qYdqwA4rV4Y3XdMljCnufcmoSbwnA65Lr0/fhQ7RqZsRhZJf9Upg/bntnlSxbIRl9/SCQLtjaGujmNJ52z++H6TGrd2Cf9yjQvJLZbQdPJoEcfKBZZBqmlcXV765spMRwSI1w21/Q6+brnvf/6bQ1Z6X2sT3c6DKaKIbyuKHsxawOabjrWvPPc0NhLPd1O7kCOXIaeVJTcEK+6kM/FY1CFP6xe/bADguxv2oHGJKVi1UXnKeW2LOew/4k0sbJTqzfe3GcjhG4tLn3xVuAxzNj2Unkklc/1beoq8754pP9VDAfgiEG9rYJkfhjVzUrJuN7QsYgq0WzSE8FIt+Iuny3k6RbY+I8L5SZ20XpAkcl6SQacV+NEwUW2Wkcx2Xp+n5LugrLZAKV/1YHI2lF/43waitfLoHAlR9u1dzu4PXCD7GClExImHHsU/X5G+nV9+LFWY6ZVSCeqVsKS1i3muDr7rnwzCNo3T67YHVP1fQ6P0+1JNio/YUk80IFfeU09G5SjjZWHy2CW6c5XSYmByabwW8T7/s0A82e8MrQp7hdzf6tS+e4aX5XtaDdzhtxKWmf4jQm8zHLdrAyIq6+k4NQ42Vhp6dI5k2JoJqDASSiUqqlfeg6kdYnt99xfLfX/aPT8oejBfB6znk4uXYYJcSLpqTojbmohE841pOmrEb9Kbpqo/mx0tPUMf3n8aIOr5C5Wl5/qaon8RbZfp37+cBYunAvDESfKlbspA4nnpH/I2E9e6X9On5D79AoALfyB9TdfOk9J0UFId9qUMbRSGq1daTqavkP+cRGWY/7EdYRgX6vam2wha5cYzVfKFd7kEyFdEbCFZzskNhCr3NmTaOqKgqxiJyJUaWXejPn0307c9XtakRqVHMkJykvQZldRIDuOm30quJD5iy9BIzYrI32L0Y0+wqX42rTd7eU7+3xJA5CFpjmx9QsKtxt/+jdomKd+e9WOtkKU6yA2SqhC7iXHKpAua7t05F+Q0Ms/KlPEFkyRf1O/HMllxQY8R2D/cDMA+PxbZi4B8KGenf8SSGHWk0Agc+TGIloShqctbRT55gVybGrURYhhzOvLF72gK8zLugVceNZj2rgsHWGsJMukuf25do9sZmCKK+HbCYldhntK6Rrc1MCabCvt00vp0mNeUplkJX5sZnQ+tSdaWdI4ZfxHPpTB02GIfqQYdN+m/nfZ/2w/P5J8/2Uq3l33G/vJLmg8TCv1uVz8HwNMXjaehdBgA170iSUrHy7GeT1blCFDKeObVf+LXy/Z1JVIpcv0y1iRDAlohT8Ur7eylTI/U05GW7XpFncCSHCZRUKBwXb6BtXkvpeD6AUQicdqysl17VKonvcfswOB456eltQELR+0DQL9tpKPZHyeSopl4WegJdLSqcLgxeWKbhnGecUpy8Pm/RTpjoz9L5chvWxSO3B1y5Q3hNXCeVlTDROedBSXV+TDFOWDtDXzxlFS4Bh8hJDnbJvyZ1oqAAxu+A8AjyPW8smREmAQOBohY+R2T/0xusXi9drB6UhqOQoE0iPMAN9whL8mgoanfJmERfixMzLsmhlxZXdhu0CVYS5AtejBrHlY4AZFF00Jy1ORWuUE27VVCTucEZzxVgtAvZBIP4yQq9Ys5oynDnOclbCr1cp22z3kRjFWlPG1Ye2uXs6hslD/y2z+WUOCLnx3H0NNFlnPecFGrr3A5IWtDstuXLbL//rseT1rDuPLO1eRO8NzwtGyK5r7yRXdVkFjK0FcHHbZrbiWh2pDReZPBlXbLZY3ZHoPy1SMl+Tk71FZAP++hmzT3HBUavehCCf+y7zzHgk2l8bD6uvsB+LsOsNuoFoZWi/Hrn5B1t+d8pjbK7xt7UklJaD4E47HBQVKBCqUTYqU0qxLgYs2VDUrPINKgEqKfiEFyOR6CbH50iCsPl9TTZzsJPxvfktCr8qQD5TybLM9cOB7I9yLd0vgW2ayq3OnNa9MdeHUi9ZEq1cqYPmC8VDNZnSfupBx6t35BThsfczqUj6QamkwbFKgKunNPe6s2eK1oYIoooog1BEtQDJHWPEy2g9jCz8h8+AqztjoSgIFVGmKQDxVccs15K4FoDgL5ka0DSkshp5UZJ5Pgqiy5DHH93XlKO9oFTIsLqWt2mbjU9b+8B+34QalxpJXSnfBs2KX7/lx52tclqyjVmc2hi1/YOe2mA2hFZ1a8N/+YJPyKwzeWqkk8YsJ1l7aLt5KtlCpFrrI3Ee3uzs4SBbyItbT0kDnOTqy6RrvNS/wgDMecLxO3NgyhXBWmY8ejibXln9oABw3UKo7JklNyYc64JKhloxp5ameXmEZjcmlKthJvz2oIkavsk28l0Oue6TE4DEmiA0SFMKvcFBstCf/Grk0i+epfMfuLoFZck+UurBxc5edngeuEhyBWgq/78FKSSG955WnKdhXOip/rHA7ZaBJfPZ56L91p/wDmGZGbuL1cKlH7bFhPyW+Ex9P/2B/JRjWQLKzgrSSKHszaQiROtscQgp2H0td9AfRG9dLNYct+2KOj8XkuyIs5u6mI6ZxlTod86d7+QipSY3tJ7NGvPEo00C+RMj9zlUliafn2b32qxO7v/+ZwWrUBrkdCvmwRJ/5tDTHdxwdz5As8pmc5ifIlyG4FAqAuX+Ha/P0UPDxR8kknbN5Hz7ONiCtdN0gpvVkHpUX8MmxPCRNK3HiXVAtlVm6MUAXf6c0YL58rKRi7ESwxfSAB4ZC6TLmEn4WzoZcc3RH1/HBCQn7qpP70Y2QGSkXVSUpEjAn1d/qUyHZtmSBUK8z1Fs2XSEp7mDqa8vmNlLCvT97159z8hFJtd5BwzhEXvUhs6Yob0B4T4xStrZJLdciF5NyoFPdTt7V+LNyf/UxCMNNrMG9ov9EWqsh35jAXFrXgnSk5u0/OlzB6+NXXELjyeldQrCIVUUQRawy2WEVaK8hZaM5YLn78E27dV6ox7qnZFikjok9Vd2LJdvFM/NaFoSiz6y2x1jJIR54OGqzqZTF5Sr+46Xbs/F/xUrIaJqSsR11MniLHHClJyvodTqX9H9KTk9bhY+5pHg3SoSd1weY6zCuzgJyt73xShW62us8tWpWpSXo8otWs9+dJ6LPp/FegXhKR7cNEtKpcn7bTmtKkNHE7EuGVYIOwEmKj6j1pdY1kZSfSGIgXFY410fVjg6VGUDiuDjbvifie4/Tk8vt15+b2n27NH0s9CAtEGsRTc95bMhrPj7r9r/CPGP8DOXZHI+meEja9sXN+brvZ9pD8MSAMi6Gz5wKibex4UCUqhu4XyC/kf3fensFXsl5aBcrTm+zN5uqlegvFe56pHfq93voruXFSzRpyp3yXprcF9I52fZiHaPJmuvy5dY1uZ2As8sX44Rb9iXz0HABGVe6TPQZhOuQL6XpGrOZPGuM1lGUaAChrlfAiiJXRWiruaom+526aLU7fnfcDlSpQgliplw0rAKdsIzf49x65iUca5MbfS8uTjmiFFwlvpGxSXsvEbZjsyMs7CEymnewzMhSurFJlGrfcL7xRhz+l5dt9jyfQ6YPxlOR2XNhXl4xQ0SR9Na5cjueF1Qw3myg0IDYI+7ZQdm2k4Pvv5kpHPEMy2lmWwFPpUa+jmaSTidSzMdlUOCjOTdVIqiSn3zArlCp1N3jfRMAbGbneG+s1juYyNP1emi0rjhc1vVBrpbJvaMjHPiPSnXWnH543iM6Y6N+fXHopAxb1IvTWqqN76GQDS4m/RK6moK8qM036scx23wNgRnMmnGTQS6UlwlGu4w6ixcpny7QS1b9jGm8deRpdRtGDKaKIItYYrCVXTPKueUSMpSaSZaueMXJ1woloVeW565+fylUbSX+Mmz/tPIjyTAepUnlCRt96AoDpDz8Gl0rmf3CbcDVmlsuTteeRFzBA91venhfIdiJUboxqdTzG0P9JpcBHqOJ2gD7J/Hi+KqVPn6jnhy0CSe12dtUQk24jsrMmJxslvHl22++ww6tPAZA47HzZr/FC0e8FNwvtvaReuBgc+XPezskTeuMyp1qXC+cxv7tIPLyNdDRshU2H403cdcQ3RF8XvbXyJgkFntrge4yolRBgoCdek/MIMB7pagk/P1PeyobRtnxyVD0Zf6ZIXZy/6Y/ZVYk8ezwr4lJBrpoRtRoaTXsDgMy0Tyntp8pxheEVYFKtoWfha//ZoNseDEO1sma5fq4/KJ2opkRbSxrvFGmGqh//jGxMan9uvnWCHBbX45ZvtQD12FTd0E0TvevVaaEq4qU7yzWo18+35mwYenmNkhxufeJB7CoMSluTrQLGmEOBy4ARwFbW2jeWs91ewC0Ijep31tprVrTvbmdgOnIwpdlQFjN8OF8FoevlNHYdXke2hxsYpizZqRMBCJoX8+s2EZVu30/6YC788mlebZY/2qzDpa9m3ONyY3ktzZSq4pxrcMviEc3kB62ByDtEDjwHgAW3ngtA62zpSep75a9p19ss50h7JghJbO57FnFufdwVuiHVS9YaK4sy92phG/c6W8KFXGktGc11DH5YDE3rk6I7ko169K/sTOQKjM+iNtluXKlUYWZlVJYiGSeuw+ZK9SZ7fU6OXc+SQWdtvzsYgL36eJiMhEQhi7VG80Dxas7998cATNhZQsFUSR2xDtk+7sKxGilXX/P6HWHjZkOt5K3Ks02cXzYCgPPOlPzWdTe/zC1Nk+RYmkOao9o8gZekrxqYtMpvlOTaKG+QxsN3z5C/xZD9JH+VPPj0sDnyF+cLe/hXx5wbip+Hla5IPDQeLtRxTZ6N911PzYHSZ5bWUO3y3YfyxGCpiEVfFR2YiOa5YqU9sFZL3AVh1mZ/EqNKz8GsPNZoiPQ+cBDwm+VtoEMTJwC7AzOAicaYf1lrP/yqHXc7A1NEEd9KrEEejLX2I+isL7wMbAVMsdZ+rtv+Gdgf+EoD0+3kGowx84Ev1/U6FLXAgnW9iCWwvq1pfVsPrD9rGmitrVuZDY0xjyPrXh4SQKF7fZe19q6uLMYY8xxwzrJCJGPMIcBe1tof6f9/CGxtrT31q/bZ7TyYlf2DrA0YY95Y3zQ41rc1rW/rgfVzTSuCtXav1fm8MeZpoNcy3rrYWvvPldnFspa1og91OwNTRBFFdB3W2t1WcxczkIGnDv2AWSv6UNcZP0UUUcS3EROBYcaYwcaYGHAY8K8VfahoYFYPXYpx1xLWtzWtb+uB9XNN6wzGmAONMTOAbYBHjDFP6Ot9jDGPAlhrs8CpwBPAR8BD1toPVrjv7pbkLaKIIroPih5MEUUUscZQNDBFFFHEGkPRwKwCjDF/McZM0n9TjTGTCt4bY4x5xRjzgTHmPWNM4it2tcbXo+8PMMa0GGPOWdNrWdGajDG7G2Pe1GvzpjFml3W5Hn3vQmPMFGPMJ8aYPb9iN0V0EcUy9SrAWvt997sx5gagUX+PAPcDP7TWvmOM6UE4bHTtr6cANwGPrel1rOSaFgD7WWtnGWM2RpKGfdfVeowxI5GKyCigD/C0MWa4tSsYeVnESqFoYFYDRrjV3wPcU3gP4F1r7TsA1tqFy/vsWloPxpgDgM8hVPZcq1hyTdbatwve/gBIGGPi1tqu60h+DetB6O5/1uN/YYyZgtDiX1kb6/mmoxgirR52AOZaayfr/4cD1hjzhDHmLWPMeetyPcaYUuB84PK1vI7lrmkJHAy8vbaMy3LW0xeYXvD+DNaCR/VtQdGDWQ5Wklp9OPBgwXsRYHtgS6ANeMYY86a19pl1tJ7LgZustS0raGRbm2tynx0FXIt4fetyPatEgS9i5VA0MMvBiqjVmm85CNi84OUZwP+stQt0m0eBzYDVNjCruJ6tgUOMMdcBVUBgjOmw1t6+uutZjTVhjOkH/AM4ylr72dexltVYzypR4ItYORRDpFXHbsDH1toZBa89AYwxxpTol3knVtDOvibXY63dwVo7yFo7CLgZuPrrMi6ruiZjTBXwCHChtfaltbiWZa4HobsfZoyJG2MGA8OA19fyur6xKBqYVcdhLOH6W2sXAzcifRuTgLestY+sq/WsB1jWmk4FNgB+VlA2rl/6o2tnPUp3fwh5EDwOnFKsIH19KLYKFFFEEWsMRQ+miCKKWGMoGpgiiihijaFoYIoooog1hqKBKaKIItYYigamiCKKWGMoGpgiOsEY8wNjzDtrYL+XqGp9Ed8iFA3MegpjzHPGmEvW9nGttX+y1m5SsI57jTG/W9vrKOKbgaKBKaKIItYYigamm8EYM9AY809jzAJjzHRjzM3GmGTB+9YYc7IxZqIxptkY86oxZqOC98uNMX8wxiwyxnxpjDnKGJM1xozX949RyQK0G/wHwNEqWNVijPGNMZdpY2Hhujp5XMaYfYwxH+pn/sMSQ8OMMT2MMb/Xc5hvjHnIGNNzDVyyItYhigamG0H7mx4B5gADgXHAdsCvltj0GEQKoRaRIrit4L1bgCHARsBoYB9kmPlSsNZeB/wJuM9aW6b/VkijN8YMAf4OXI00Wd4K/LjgfQM8jHQtb6zn0gw8sKJ9F9G9UDQw3QtbIc14P7XWtlprZwKXAMeZznoM11trp6nOyr3AFgDGGA/xSH5urZ1nrW0CLloD6zwceN1ae7+1NmutfRIxKA6b679TrLWN1to24DxgF+20LuIbgqKB6V7oD8yz1haq032GzCUuHKk7u+D3VqBcf68DYnSe7b0m5nz3A6Yu8doXBb8PBuLAXGNMgzGmATmPDmDAGlhPEesIRT2Y7oXpQL0xpkSf+iDhTgcrN8x9PpBGQhKnw7KiGzpYxmstQOkSr/Up+H0msKR49uCC379EDF+NtXZZ+y/iG4KiB7N+I2KMSbh/wLvAFOAG1ZzpA1wJ3LMyN6pu8wBwmTGmzhhTDly1go/NAYZoeOXwBrCZMWZzY0zEGHMqnQ3Ig8DWxpjD9f3dEO3bws9PAm5RYXR0PYet6ByK6F4oGpj1G5cC7QX/moEfISHINEQY6TWgK+NIztDPfgq8DzyFJFuXp4v7O8RbWajhjG+tfQ64AdFPmQ30BELxKFWpOwT4OdAAnKX7ce8HwAHI9+9NY0yznsf4LpxHEd0ART2YbzmMMRsCHwN9rbVFqcgivlYUDcy3DCoL2RvxGGqBe4BSa+1O63RhRXwjUQyRvn1IAnchg8feQ6YfHLFOV1TENxZFD6aIIopYYyh6MEUUUcQaQ9HAFFFEEWsMRQNTRBFFrDEUDUwRRRSxxlA0MEUUUcQaw/8Dw9lc5eA0VUEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 288x216 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(4,3))\n",
    "fig.set_tight_layout(True)\n",
    "\n",
    "im = ax.pcolormesh(MLI.xu_ocean, MLI.yu_ocean, Ce.isel(time=0),\n",
    "                   vmin=-1, vmax=1, cmap='RdBu_r', shading='auto', rasterized=True)\n",
    "\n",
    "ax.pcolormesh(MLI.xu_ocean, MLI.yu_ocean, \n",
    "              np.ma.masked_array(mask0, ~mask0),\n",
    "              vmin=0, vmax=3, cmap='binary', rasterized=True)\n",
    "\n",
    "ax.set_xlabel(r\"Longitude\", fontsize=13)\n",
    "ax.set_ylabel(r\"Latitude\", fontsize=13)\n",
    "fig.colorbar(im, ax=ax)\n",
    "\n",
    "plt.savefig('/home/jovyan/Figures/FIOCOM32-Ce_01.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "17518c0c-5f68-438e-84a0-ad4326f4400c",
   "metadata": {},
   "outputs": [],
   "source": [
    "alpha = (Ce).median(['yu_ocean','xu_ocean'],skipna=True)\n",
    "\n",
    "aMLI = alpha*MLI\n",
    "aMLI.name = 'MLI'\n",
    "wpbp_coar = xr.DataArray(wpbp_coar.data, dims=MLI.dims, coords=MLI.coords)\n",
    "wpbp_coar.name = 'wpbp'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "117db9db-2437-4667-834e-6c1836ed123a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['2018-02-01', '2018-02-02', '2018-02-03', '2018-02-04',\n",
       "       '2018-02-05', '2018-02-06', '2018-02-07', '2018-02-08',\n",
       "       '2018-02-09', '2018-02-10', '2018-02-11', '2018-02-12',\n",
       "       '2018-02-13', '2018-02-14', '2018-02-15', '2018-02-16',\n",
       "       '2018-02-17', '2018-02-18', '2018-02-19', '2018-02-20',\n",
       "       '2018-02-21', '2018-02-22', '2018-02-23', '2018-02-24',\n",
       "       '2018-02-25', '2018-02-26', '2018-02-27', '2018-02-28',\n",
       "       '2018-03-01', '2018-03-02', '2018-03-03', '2018-03-04',\n",
       "       '2018-03-05', '2018-03-06', '2018-03-07', '2018-03-08',\n",
       "       '2018-03-09', '2018-03-10', '2018-03-11', '2018-03-12',\n",
       "       '2018-03-13', '2018-03-14', '2018-03-15', '2018-03-16',\n",
       "       '2018-03-17', '2018-03-18', '2018-03-19', '2018-03-20',\n",
       "       '2018-03-21', '2018-03-22', '2018-03-23', '2018-03-24',\n",
       "       '2018-03-25', '2018-03-26', '2018-03-27', '2018-03-28',\n",
       "       '2018-03-29', '2018-03-30', '2018-03-31', '2018-04-01',\n",
       "       '2018-04-02', '2018-04-03', '2018-04-04', '2018-04-05',\n",
       "       '2018-04-06', '2018-04-07', '2018-04-08', '2018-04-09',\n",
       "       '2018-04-10', '2018-04-11', '2018-04-12', '2018-04-13',\n",
       "       '2018-04-14', '2018-04-15', '2018-04-16', '2018-04-17',\n",
       "       '2018-04-18', '2018-04-19', '2018-04-20', '2018-04-21',\n",
       "       '2018-04-22', '2018-04-23', '2018-04-24', '2018-04-25',\n",
       "       '2018-04-26', '2018-04-27', '2018-04-28', '2018-04-29',\n",
       "       '2018-04-30'], dtype='datetime64[D]')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time = np.arange('2018-02', '2018-05', dtype='datetime64[D]')\n",
    "time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "d1d64933-0d84-480f-98c0-9702fe84cea9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(7,4))\n",
    "fig.set_tight_layout(True)\n",
    "ax2 = ax.twinx()\n",
    "\n",
    "ax.plot(time, wpbp_coar.median(['yu_ocean','xu_ocean'],skipna=True), c='k', label=r\"$\\overline{w^sb^s}^z$\")\n",
    "ax.plot(time, aMLI.median(['yu_ocean','xu_ocean'],skipna=True), c='r', label=r'$C_e(t) \\times MLI$')\n",
    "ax.plot(time, (alpha.mean('time')*MLI).median(['yu_ocean','xu_ocean'],skipna=True), c='r', ls='--', label=r'$C_e \\times MLI$')\n",
    "\n",
    "ax2.plot(time, alpha, c='b')\n",
    "\n",
    "ax.set_ylabel(r\"[m$^2$ s$^{-3}$]\", fontsize=12)\n",
    "ax.set_xticks(['2018-02-01','2018-02-15','2018-03-01','2018-03-15','2018-04-01','2018-04-15','2018-05-01'])\n",
    "ax.set_xticklabels(labels=['2018-02-01','2018-02-15','2018-03-01','2018-03-15','2018-04-01','2018-04-15','2018-05-01'],\n",
    "                   rotation=20)\n",
    "ax2.set_ylabel(r\"$C_e(t)$\", fontsize=12, c='b')\n",
    "ax2.spines['right'].set_color('b')\n",
    "ax2.tick_params(axis='y', colors='b')\n",
    "\n",
    "ax.legend(loc='lower left', fontsize=12)\n",
    "plt.savefig('/home/jovyan/Figures/FIOCOM32-wb-timeseries_01.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "0cdd3230-08e6-42da-858a-aa1f38e9db4a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_8662/3115980255.py:4: 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(MLI.xu_ocean, MLI.yu_ocean, wpbp_coar.isel(time=0),\n",
      "/tmp/ipykernel_8662/3115980255.py:6: MatplotlibDeprecationWarning: shading='flat' when X and Y have the same dimensions as C is deprecated since 3.3.  Either specify the corners of the quadrilaterals with X and Y, or pass shading='auto', 'nearest' or 'gouraud', or set rcParams['pcolor.shading'].  This will become an error two minor releases later.\n",
      "  im2 = ax2.pcolormesh(MLI.xu_ocean, MLI.yu_ocean, aMLI.isel(time=0),\n",
      "/tmp/ipykernel_8662/3115980255.py: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",
      "  ax1.pcolormesh(MLI.xu_ocean, MLI.yu_ocean,\n",
      "/tmp/ipykernel_8662/3115980255.py:12: 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",
      "  ax2.pcolormesh(MLI.xu_ocean, MLI.yu_ocean,\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x216 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1,ax2) = plt.subplots(figsize=(7,3),nrows=1,ncols=2)\n",
    "fig.set_tight_layout(True)\n",
    "\n",
    "im1 = ax1.pcolormesh(MLI.xu_ocean, MLI.yu_ocean, wpbp_coar.isel(time=0),\n",
    "                     vmin=-2e-7, vmax=2e-7, cmap='seismic', rasterized=True)\n",
    "im2 = ax2.pcolormesh(MLI.xu_ocean, MLI.yu_ocean, aMLI.isel(time=0),\n",
    "                     vmin=0., vmax=2e-7, cmap='Reds', rasterized=True)\n",
    "\n",
    "ax1.pcolormesh(MLI.xu_ocean, MLI.yu_ocean, \n",
    "               np.ma.masked_array(mask0, ~mask0),\n",
    "               vmin=0, vmax=3, cmap='binary', rasterized=True)\n",
    "ax2.pcolormesh(MLI.xu_ocean, MLI.yu_ocean, \n",
    "               np.ma.masked_array(mask0, ~mask0),\n",
    "               vmin=0, vmax=3, cmap='binary', rasterized=True)\n",
    "\n",
    "\n",
    "ax1.set_xlim([-78,-68])\n",
    "ax1.set_ylim([30,40])\n",
    "ax2.set_xlim([-78,-68])\n",
    "ax2.set_ylim([30,40])\n",
    "\n",
    "ax1.set_title(r\"$\\overline{w^sb^s}^z$\", fontsize=14)\n",
    "ax1.set_xlabel(r\"Longitude\", fontsize=12)\n",
    "ax1.set_ylabel(r\"Latitude\", fontsize=12)\n",
    "ax2.set_title(r\"$C_e(t)\\times$MLI\", fontsize=14)\n",
    "ax2.set_xlabel(r\"Longitude\", fontsize=12)\n",
    "ax2.set_ylabel(r\"Latitude\", fontsize=12)\n",
    "\n",
    "cbar1 = fig.colorbar(im1, ax=ax1, shrink=.7)\n",
    "cbar2 = fig.colorbar(im2, ax=ax2, shrink=.7)\n",
    "cbar1.set_label(r\"[m$^2$ s$^{-3}$]\", fontsize=11)\n",
    "cbar2.set_label(r\"[m$^2$ s$^{-3}$]\", fontsize=11)\n",
    "\n",
    "plt.savefig('/home/jovyan/Figures/FIOCOM32-wb-hist_01.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "2b049e86-7507-45a7-ae28-a3e94d26af38",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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niKxyt6s8ee4RkY0isl5ErvAcP0tE1rhpP5UEvaaqbuvYgEHAfODzwCD3WErypoNKwEhgh2e/3j2WjNuBhxIlquoCVZ2hqjMGDx6cgSqmpkNp03D4AK89+980N1l7lMXS2wxs2cPwpm3sLh/LodKhua5OlxGBQEDibmnQDvy9qp4KzALuEpHJbtp/qOo0d1vslCWTgRtx1HfzgF+6M1oAvwLuwAliWOemJ6m3/G/gYZxOqhZ4SET+v3Qqne8dVLxPPulkuqreq6pJBRKZdhabLtFIhH2f1fPuK8+hNjyHxdKrHA/1Y0/ZKLZXnZzrqnST+J1TOh2Uqu5W1ffdv48CH5P8ZX8+8KiqtqjqFpzghDPdsPDVqvq2Oj9ijwDXpij+JuBs97f5XpwO8uaUlSb/O6h6YLRnfxSwq6cXzbSz2HQZMGgI08+7hD31W1n/4fJeLdtiKVo0Cqq0BCvYUj0FlXz/2UtMknVQtR2mC3e7I8k1xuEEL3zXPfQdEVktIg+KyED3WKLZq5Hu3+bxZGwFvK44SnEi8aYkn0QS8VgB1InIScBOnCHnV3p6URG5Brhm4sSJPvWN+R4iMa56Eo96zBFRXFUfMHri6ezZuYN177/JgCEjqB02ilbDT0rQnNI1dkuMa4dDnQ+cqv9aZr1KQv6HM2pc23u6qS5UI7hU1Ph8YmeiE39eYtxUqgFlNmzD3RnEdrceXSmru2WY+bxlxnzeSWI0AUTNWEmev80YTua1zPSmNr+LoTaPis9M23vMr7wzVXvbD/vTP6zvNDXv2u+fOj9+3HF9dFp0ExU0s7VpIur5HCoq/Dbh44P8NqmaypITf6fq0mIUrllosCIQDCa87n5VnZH6GlIFPAH8rao2iMivgB/ifMU/BP4Nx0deotmrLs9qAS3AOhF50T13LvCGiPwUQFW/myhjyg5KRL6X6hxV/edU56RRzp+AOThvAvXAvar6gIh8B1iCo9x7UFXX9bQsVV0ELJoxY8Y3e3qtriIiTJs9l0P7P2PT2pXUDhvV21WwWIqGYbqfCexkMyN8nVOhkqa9KS4iEsbpnP6gqk8CqOoeT/pvgGfc3USzV/Xu3+bxZDzlbh28mm6d0xlBzU2RrkCPOyhVvSnB8cXA4p5e34t3BJULwuESzrv8OkorCmP1usVSiJRrM9N0A4eo4iMZj6MTKFw6RBLdyysCPAB8rKr/7jk+XFV3u7tfANa6fy8E/igi/44TZLAOWK6qERE56i68fRe4BceFUTJ2AO+o6vGu1jtlB6WqFydLF5EhXS001+RyBNVBRT/H/tXW0sze3TsYPjY3naXF0hcRjXKWfoygvCenEi1gu1MnPfK7Nxv4K2CNiKxyj30PuElEpuEMNLbihsRQ1XUi8hjOgtp24C5V7ZiPvRNn3Wo58Jy7JeNrwK9F5ACOo9jXgTdU9VCqSvfIBiUipcBunOm3giHXIygvn6x6my0fr+LcedczaKid7rNYMkG5NlFOM6tkEselPNfVyRjdHUGp6hvEtx8lnJ1S1fuA++IcXwlMic2R8Dq3AIjICOB6HOcLI0ij/8mESKLgJnYTjaBMQ7Jp+/O+vJjGymDEMJIaL2yme5gOFy/jp8zisx1beO+155h91c2UlJXTYggdzJemSDCxIMMUQUiMedd0dWTcoye/mKbPqGkINk+QxHtdbCXdeVHsquihsBblx9KV+zXFMmbWlPGhkrg6Ml0Zmfum4MLrvuhQs989kSmKWFl/zLe/44BfCLFhS+fa/n2f+ZeNvNc4kjZtoUN0Firx/9z1H+RX8ZaU+N+zK8Kdz0Jl2J+3LOw/tyRkPhtknJ5M8eUSEfkqcAFwOrAfx2PQ6+nkzcS41y7o6QGhklKmXXAVrc1NrH5riV0fZbH0gH7BVs7stw9BadO+MK3npwcLdXPJfwLTgN8A31XVf1HVtOIQ9b1vMA1ytVA3EdU1Qzh1xoXs37WVbZ98kOvqWCwFSYAoc2vqmdZvP5XBttQZChCR+Fs+o6q1ONL1MuA+EVkuIpmJB5VCZp7v66jikg8iCZPRdVNpa21h2NjCc2BpseQD5/Tfy9DSJpYcGM2xSAnQlOsqZZQCnuKrxvFgPhYYB/QHosnydJAJmfmydAqyJEdEmDBlJgCRSMTxfB4uSZHLYrEADJeDTOt3gDXHatjcVJ3r6mSJgpjOi8cbnu3nqlqf4vwT9Fhm3pcxh87e1eGmQMBsOKYniZiV5p7J1WOeGDiqytplzlq5yRd8DhGJMTpXl/hXwHvLaotZ5e/HjPFkGne9JjDzHswJ4VjJq1l2Z7qppzC9UsSQ0kuFxcT06BAr+kmS1/SEksQzitkuTBFEi+EdorHFv3/ck26KIjbs9496dh7yL51Z/bE/AsHh/UcISpQrR23is8Ygz38UIaI7ncQmf0CD1rIq335Jqf8FcOip/hUzgyo7fx6rDJFE2IyzJmZ7zU6DLbBwGwCo6tRk6SLyM1X963hp1gaVZ4gINcPHcmj3Nnaut/YoiyUVEQ3w7J5R/OXTCiIx7sn6Dj30Zp7PzE6UkI4NanOqc1R1fFdrlEvy0QblZdjEKRzeu5Otq9+hunY4FTVm/E6LxQJQE27hYFspe1vLOdZSUMsxu0Uf6Iy6RDo2qHE4q4kfAj7Lam0sgDOKqjv7YhoP7eOTt17g9Lk3EC4tS53RYikiRgYPcfHILTy3dwSbjvdVu5OHAhVJ9IR0OqhZwDeB7+M4+fsN8LzaBTtZJVRSyinnXcEnb79AW3Oj7aAsFg8V0sJ5ZZvY21LK1qaq1Bn6ANIzV0f5TMKbSkcksRxYLiJ/hxN46p9w/CrdD/xUVfPPkJOCdF0dJRNJmAZo8xM2Q2a0GqpKb0iCpna/EbljpX6wehCT536ZkpD/a2oxwnN4vUWoUU5Lm78ephcA00tVQDrzh0zX/oYwNObzMT6FqMdob34eZjViQkWY8g6PbSFTz2ghvmJ113tEKs8Rph7GTPe2V1OI09rubxhNrYYoosXvpHXzkU7vELsa/J4k1n/m9xyxYYvfXduRAw0EUC4dug1R5clV7Rxpdq0QTUeT30TlQN9u9UB/xzakv/8lcGC5RyRR6n8GTXFRrGiCrGCGwOkj/CRRQtrrmFT1GPAbEXkQ+AfgXuBN4OUeV6+XyXcblBcJBIhGI+xY8w41oybQb5C1R1mKm3MG7GV4WRNL9o3kcPOe1Bn6CIW2DkpEFpHE05Cqft79/7eJzkm7g3KjMH4DxzPtNvfvN9PNb+k+0Ug7B3du4cCOTUy9/AZKy22YDkvxcrCtlFUNNWw8Xg0UTwcF3R9BichonPDsw3DmQhao6k9EpAb4M47WYCtwQ4eXcRG5B7gdiOC4KFriHj+LTm/mi4G/SWDy+dduVdZDSpm5iFwvIkuA5UAlcIWqzlbV36pqS4rslgwQCpdSN+ty2pqPs3H5Uuuvz1KkOO1+feMA3jw0NMd1yQ09cHXUDvy9qp6Koyu4S0QmA3cDS1W1Dljq7uOm3QicBswDfikiHfaAXwF34MSIqnPTY1DV1xJtwP9Ip9LprIN6DCfm/K+BfcB8Efmed0unIEvPqKoZwtgzzuPw7m3U2/VRliJDiDJb1jGpsuBM3hlDcGy58bZUqOpuVX3f/fso8DHO7/p84GH3tIeBa92/5wOPqmqLqm4BNgIzRWQ4UK2qb7ujpkc8ebrCuemclM4U3zKcV5cLEqRnJKJuPhBjqE9iyDeH2uZ+2Ah70WoIG0Ke85OJCwAa2xwjc9XYU6neU8/WtcspHTGBUIlj1K3wiCgGlPq9TJir+k1RhBjKh2RTCCFjmUnE9KZlvO4EPfcVc2pyJxTdCuISI6zII7ri1SEZSe8xWZKRFuMNQpPv+72VJBdFNBlt7nCL33HrYU+4jQ17/Z4iduzxCx121x8AYFb/vQztf5jjh9s4etDjbaLFk7/ZL7BggH+UVTV4sG+/trbCtz+4yu9ZwvsslZWY4TVSiCKyYSqSpItya0VkpWd/gaouiH8ZGQdMx4mIO7Qjoq6q7vYEoB0JvOPJVu8ea6Mjfon/eFZIR8U3J1uFW7qGiDBq+kW0NTee6Jwslr7O2LJjnNX/AGuPDuDjg4UjEsg0QtIXyP2qOiPlNUSqgCeAv1XVhiSy9XgJmuR4vLLOTHLtcII0HwXpjbyn5FNE3a4SLCklWFIKwLG99VQOztrLi8WSc6qCbVw6aBf7W0t549BQYG+uq5RTerIOSkTCOJ3TH1T1SffwHhEZ7o6ehtP5AdcDoz3ZRwG73OOj4hyPx78lqc4n6dS5KH3xqeoiVb2jf//+qU/OU47urWfLW4s5sGlNrqtisWSNceVHCYry/P6RRIrz5+oEIs4IKt6WOq8I8ADwsar+uydpIXCr+/etwNOe4zeKSKmInIQjhljuTgceFZFZ7jVv8eTxoaoXJ9vSueeiHEH1BaoGj6R6+Dh2r3uXmsEjqRpUnKomS99m7bEaNh/vx/FoWjNCfR7Ta3oXmA38FbBGRFa5x74H/Bh4TERuB7YDXwJQ1XUi8hiOm7t24C5V7TAu3kmnzPw5d4tBRL6YrEKeUVxCbAeVhFjDtsczQgqRhGlEbW337zdJpyG5xFiF3tbmN0KboQ/CgQCIMPrMOWx45XE+fXcJp1zyJUIlpRxp9RukBxghBdqjhigi6q+31wAukiKkACTf92Q3w5NoCiuyKRzxigMyJTjoznW6K/FPGV7EQ6buz6uDMEUPptjCTG+PJBZJmAKLdkM0cdTwHHGo1e8tYldDZxs93OhP27OnEYBhwSO0E6S1uRXnDPe8hv2+830iiQpjRmTAcN/uwMH+9EmjB/j2x9WU+vZH9esUUZSF/SKJUMD/bPSGCyKR9EZL8VDVN0gs3bg0QZ77gPviHF8JTEmj2MeBVe6GUb4CKTuotMfM0kedQBUyoZJSxp09l7am42x77xW7PsrSJ6iQVi4s38TMsm0klSYWIQUW8v06YAMwFdgC3KeqX3e329K5QFodlLty+G03dG/HsaCIPCkiN3Sj4pYMUVEzhFFnzKZmzKS+6kjSUkQIygXlGwlKlDeaxpMdvXZh0qHi644NKheo6lOqeiNwEbAJ+DcReUNELkr3Gml1UKr6Hs5c5AsiUinO3M8fgAEkMJBZeo/B409j4EgnJFc0aq57slgKhzNK6xkaOsY7TeNoiJbnujp5R0Ak7pbnNANHgAYcb0Rpr5Hpig3qdpxO6Xmc3nA0MNe6O8ofDmxbz54NHzDlkusIlZSmzmCx5BEVLYeoK93NhtbBbGmvzXV18o4OFV+hICIX40TAmAm8BPzEtV+lTVe8mauI3AJ8irMK+SRVPZ4iW68iImOAnwP7gQ2q+uOeXc+/rwl34ogmjMxmeqnHLUOLEa6gLWoIKiL+UVG7YWs63u4YpaPlVTQfa+DTFUsZd87liAjH2vyiiUr1f+VmvQIe+7YZbsOsZ2nYX89gEmEDRihu0yhvrpCPsadl4bnslueJbtajK8KHtE2JZoiMmGSvsCR5Gak8S7R70lsMEY/pJcUMH7P7qP8ddtfh5hN/H/SkHdRyDjaN4dPWwSfqrmYcEJNSjzeI/kN8ScPG+UUSkyYM8u2PHuh/kR9Z5R+xVXi8R4SDyZ/n3uo3CmwafymwGngDKAVucfsQAFT1u6ku0NWFBf8CHHcLvN/jPLDHiMiDIrJXRNYax+eJyHoR2Sgid6e4zCTgWdcANzlTdSsUygYOYcSUcziyayv7N61NncFiyQNEo4SjrSDCJ61Di369UyKE+PanPB5VfR34D2AFsBJ4z9hS0pVwG/cBnwMuxJlPXAz8QURuylB03d/ijH4e8ZQZBH4BzMVZwbxCRBbiOJT7kZH/NuAD4Psi8mXgdxmoU8ExeOLpHNu3i11r3qGyZihVQ0fkukoWS1LGtWxmROtOllfNynVV8psCiwelqg+nPgtE5Geq+tfx0tJV8Z0NfBm4WFX3qGozcA2Om4uvpFnfpKjqMuCgcXgmsFFVN6tqK/AoMF9V16jq1ca2F6fHvldVL8HpTOPdyx0islJEVu7bty8TVc8rRIQxM+YQLq+k8WBxxcqxFB4D2w4wtmUL+0O1tAWs3TQVgQRbgTM7UUJaIyhVXSEiU702J1VtFJG5qtqULG8PGQns8OzXA+ckOf954Aci8hWc4FsxuB5+FwDMmDGjTy6yCJWUcfJlXyIYsqvvLflLsL2JyU1raAxU8Wn5KbmuTt6Twllsn6QrIokYQUSWOyfogudcAFVdC1yf8qIZcBZr2ipjvCwY6THne157QkZiu2EYDhur1pva/Sv12+Ot8g+EiESVvbu203L8KLXjnB+AkoDfbBhsN8OAdJbV1m7Uw2gt5syuGYahxONKImJ8baketG5F38jj142uCDKSTeN0dzLd9EZiiiLM65qeJLyiCdMbiRleo9Fonwca/ftNre2gUU7as4KARlghp3CssR1op83whNLaaITQGDTKtxsq7Rx19RvQz5dWW+uPPD18oF8EMaLa/wI3pNI/gvOG2IgRBJnfUYrfg0xQaCq+TJDvo8NEHnV7RF9wFpsuezetYfsHy2g8VNxeoC35RUCjRAIh1kgdx6QidQYLAMFA/K3ASdjr5vutrQDqROQkESnBCUG8sKcXFZFrRGTBkSN9Pzrn2LPmECqtYPO7LxFps0vWLPlBNBBi++CzqQ9YJ8fpIhTsQt1U/CRRQt50UCLyJ+Bt4GQRqReR21W1HfgOsAQnRPFjqrqup2UV0wgqVFLG+HMuo/X4Mba+95r112fJLa3HGbv3XcJtjXntRC5fCUr8LZ8RkRki8pSIvC8iq0VkjYis7khX1d8mypuyg3LjgXxNRP4iIttF5Jj7/9Mi8nURyYj0RlVvUtXhqhpW1VGq+oB7fLGqTlLVCa533R5TTCMogKpBwxh52kwO79zM/p1bcl0dS7GiUUKb3qay+QABjaY+3+Kjw5t5N+NBxawzFZEfiMhOEVnlbld50u5x156uF5ErPMfPcjuYjSLy0zSdiP8BeAjHeew1wNXu/ylJKpIQkduAf8bxHvESzhqlBqAax936bcA/i8j3VPWhdArMB1R1EbBoxowZ3+xKPu9QOmoYvc02Yhq6S43wG14jdYlhgO2vfuPtoWZ/SALTS4XXSUOz4XWio/3UTJxKsKIflcNG0xTpNFqXhf3hOLxCB0ObQVj9AgvTkF5e4s/gHazFNGNjIGd6Lig2Y3AmMD9DnyMP0zFHMi8pxIoqvN+1+b2bniNMsUzH6aGd6wgc3Uv9oGm0lDiChqjpwcLIWzvav46vsaHRt19a3vl+PLC2ypc2fpQRXmOI39Y1rtovoigv8bdvr/eIVCKo3kCAUPefi99irDN1+Q9V/VdfOSKTccwppwEjgJdEZJIbD+pXwB3AOzhrYeeRIB6Uh32q2i3TTCoV3+XARaq6Pk7ak8A/icjJwL04PWRBUMgh37uLiDBg5HhEhObGBkLhUuuvz9JrBI58RmjXWtprT+Jw5ejUGSxx6W7HqKrLRGRcmqfPBx51/axuEZGNwEwR2QpUq+rbTl3kEeBaUndQ94rI/Tiuj04YwtMJWJh0ik9Vb+zonNzRVLxz1qtqRhbr9hbFZIMyibS1sualJ9i08lVrj7L0GqHd69CyatrGzMh1VQoXcWZP4m1AbYcDAne7I82rfse1Cz0oIgPdY/HWn450t/o4x1PxdWAazmjrGjqn+VLSFW/m/wk8aB4UkTmq+moXrmPJIcFwCSMmncH2Ne+wZ9M6aqacmesqWYqA1rqLkPZmCNog3t3FmeJLmLxfVbva+/8K+CHODO8PgX/DMdskWn/apXWpHs5Q1dO7WDcgPZHE34rIhUlO6bHsu7cpNpGEyYhTpjNg2Bi2rnqDIwfs+ihL9jj22TaItEMwhJZWpc5gSUimAxa6busiqhoFfoPjWg4Srz+td/82j6fiHdeu1WXSeZ25EvgeUCkim/B7oxWgLUnevKS7IolkmGIW05gZMVbTlYTUc64/LRwwVv0bU3ElwaCR7l+p78Vc9a8aBIQJMy9lzYuP8f5rz3LOlTcSCjv2KF9jN70LGAZt855N47nX80RAkr8LmdeKeS3zHkjwPPbGhGV3TdSpokb4ykjz3KSfkbFrzuYazSJGrBDz3ScRSZht/Wir0x5bD+zm0HsvERo+mfZRZ3jO72wLAwb4vTu0G55NGhv9Py8VVf4QGdXVnXbUsSOqfWmnjfB7lhjT329zHVTuFwhVlPh/Dks8wxWzEzDbQa+sRcpweHcRGa6qu93dLwAdCr+FwB9F5N9xRBJ1wHJVjYjIURGZBbwL3AL8LI2izgduFZEtODYowYngNDVVxpQdlKpe4d5MI3AXMAM4F2d90mAclZ+lwAiXllM363IObv0EG1bbkmkiLU0cWbOMYGV/moafluvq9Al6ouJz15nOwbFV1eMI2+aIyDSc15GtwLcAVHWdiDyGE0W9HbjLVfAB3ImjCCzHEUekEkiAY3vqFl2ZEB6tqgdxHLJa+gD9aoczfLgzklfVQguGZslTVKM0rHmdaHsbg866nGPt1u6UGSRmiUm6qOpNcQ4/kOT8+4CYdaduRNwpXSx7G4CIDKEL4d6hC54k3M6pT1DsNiiT40cPs3zJnzl6qO+FH7H0Pse3rKP14G6qTz2HUL+BqTNY0sJxFlt4vvhE5PMi8imwBXgNZ7SWzsgreQclIq+JyEUpzrlQRF5Nr6r5QTHLzOMRCpfQ2tTImjeeo63V+uuz9IyyYeOonDidshHFs86wtyhQX3w/BGYBG1T1JOBS4M10MqYae/8z8EsRCeN4kviITk8Sk92C2oH/2b169x3MNmIaVc2pY+9csunKv91YTd+/1O9ZosUwJLd6vEcETfcPBm2mdRwoKatgyux5vL/0ST586yWmX3AVIhITkqHccPoV81yY3gk82WMM66YDMU0uwEjnGezqc9qdZWDdFWJ0pW7Jzk3mIcisWzJPHqnCf5jCnGRr5jrEM5H2NgLBEJT1o3zcVEcYohA2Gn+yMBb9+vmFDOXl/rZfM8A/Q1Rb3bk/pNqfVlfrF2AMr/Tvl5f6xUYlIX89vc9wTCeQI08SBephpU1VD4hIQEQCqvqKiPyfdDIm7aBUdQlwmuuLaT7wVWAgcAgnvPp33XMsBc7AISMZP3UWmz58m0HDRjN2UkqBjcVyAtUoG958jlBpGXJywgCplh4g5L9j2AQcFpEqYBnwBxHZizOwSUm6EXWX4HgU7xMUo6ujdBg3eQYN+3axc9PHjKnr1ro6S5Gy8+P3ObK3nvEz5tCQ68r0VSR2ZqFAmA80AX8H3Az0B/4pnYw9kteIyEhAVLU+5cl5RDbWQfUFRITpF1xFIBQq1AfBkgOO7N1J/boV1I6pY/C4U2k4HBN825IBnBFUYT2XIhIEnlbVy4Ao8HBX8ndb/yEi/4LjKuNZEQmKyJe6ey1L/hAuLSMYDNHW2szGde9bf32WpLQ0NbLx3Rcp69efk86aY19sskxA4m/5irt+6riIdEuR1pMR1LmqeoGIvOKuMP4m8N89uF5BYRpNzVAH5nMaNrSgXv1BMOC3fJvhNyqj/q8pqv7V9WUhj9E54Df8mkZVc6GfeR8d4oVtmz9m7fJXCYXDjD/FsUeZoomAMSFudmbqsSTHGOnN8A+BFOmSOM1TYNbJdX+drPhkn7HZPlPdR2x4ic597/fc1NhAIBhkwjmXQzBERJUqQ3xQ1uw3N3g9NAyo9IsiqgxRhFlP8zmaMLgzhEbdIL8IYlCZ31PEwAr/flVpYs8RZllmJyA5UElID9ZB5ZhmYI2IvAiciJeiqt9NlbEnHVSrG6ywowmFk51sKSzGT57Ovp1b+OCtpdQMHsaAQUNyXSVLHtJ/0DCmXHETAePFyJIdCnSE+qy7dZmeLPH6V+BFYKiIXI/1l9OnEBFmXnwVJaVlvL10EW2trakzWYqGg3vq2bj6bTQatZ1TbyGFuQ5KVR+Ot6WTt9sdlKo+B3wDeBSYCvxVd69lyU/Kyis55+LPcazhMGtWLMt1dSx5QkvzcVa/+Ty7t24gEklLLWzJAB0iiQTxoPIWN0T8amN7XUT+Q0QGJcubcopPRL4FXK2qMTHkVXUDzirhgsLKzNNnyIgxzJxzJUOGj8l1VSx5gKqy5q0ltLU0c+bF8wmFS6DFjq57i3wWRCThOSAC/NHdvxGnvz2C43g2pm/pIB0b1NeA78dLEJF/Al5S1YJ6vc6KzNxoOAHjgOkvyyteqChJMUViRkIwBQSeskxPEebbVYyYI1mx7qljJjihXKKRKM1NjVRUOmEMUj0sftFEqpP9u8micyR6YexKSAvonuAh1y+r3uJj7jcmYkbiGzTv3RTAmPsd9/3Jh8s5sHs7U2ZdysBaxy5ZZoR/KTEaez9DNDG0X6dYodJo+y1myBajkY3s7xc6DK3qNH2PqPKLJGoMUURZOJh03xRgeL/r7ng2yTRC7O9K2nlFHsSJYrtXVae4x2qAPwPjcPzj3aCqh9y0e4DbcTqWEw4ZROQsOr2ZLwb+RlNLfWerqnf19hoReVNVZ4vIV5NlTGeKrw54NUHax8Dfp3ENSx/grZcX89LCP9PWZt+Yi5Hm4418/P7bDB83idF1XXJobckI8e1Padqgfkts2Iu7gaWqWgcsdfdxgwveCJzm5vmlu54JnKVFd+D0C3VxrhmPKhE558RdiMwEOqJXJp0jTqeDCpD49fcV4Kw0rmHpA0w89XSOHjnE8mUv2PVRRUhZRSVzrrmRKbMuLVQ1WUHTExuUO8tlRqSYT+fC2YeBaz3HH1XVFlXdAmwEZorIcKBaVd92R02PePIk4xvA/SKyRUS2AvcD3xCRSuBHyTKm00F9ghPoKgZV/QzHbYWlCBg2ciynzziPLRs+YtMna3JdHUsvoars270DgJrBwwiXlKbIYckKAoFA/A0nEOFKz3ZHGlcc2hFR1/2/Yy3JSGCH57x699hI92/zeFJUdYWqng5MA6ap6lT3WKOqPpYsbzod1IPAz+OpLURkNGCDCBURU848l2Ejx7Li9Zc4uH9vrqtj6QXWffAurz7zZ/Z/VlAezfokkuAfsF9VZ3i2BT0qJhZNcjz5xUT6u+HjlwIvici/petZIp0O6gFgHfChiHxLRKrdQgcAPwVeSKcgS98gEAgw+7KrGThoMBFPmA9L32Tvrh2sXv46o8efzKChKV+WLVkkCzLzPe60He7/HW+c9cBoz3mjgF3u8VFxjqfiQeAocIO7NQAPpVPBlCo+VVURuQH4B5zFub8UkQagH47y49vpFNQbuMa9HwAHcIx/j/da2TEvF8nVcl6XQ2q4DDLVRG2GK6SyElNt1Pk1thmxpMy4PgFDHhc0yvaqC8123yHsKi2vZO4XvkppOIi3OFOp6HePg5FIUmKViunnTZfeNKNkw2SXKqaT13geMduj6bonzn5z03HefGkRVdX9mXHh5QTctmGGFDPdZ4WMi5UbrrtqKzvba2ko+ZdgKgBrDFdIY/tVnvi70ji3NOTfN9NN10ZmjLJ8XF+U4UW5C4FbgR+7/z/tOf5Hd9QzAkcMsdx1aXdURGYB7wK3AD9Lo5wJqnqdZ/8fRWRVOhVMa6GuqkZV9R9x5hu/BPxvHJXH6aq6J51rpEJEHhSRvSKy1jg+T0TWi8hGEbk7xWWuBH6mqnfifHiWLCEiRCMRVryxlE8/Wp3r6lgyjKry1tLFNDc1ccHl863dKQ/o8MXXnRGUiPwJeBs4WUTqReR2nI5prhuOfa67j6quAx7DCVD7PHCX6/QV4E4ckcNGYBPphW5vEpHzPXWZjRN+IyVd8sWnqg3Ak13J0wV+C/wcRxkCnHDV/gucD68eWCEiC4EgseqP24DfAfeKyOeBpCuULRlAhIP79/LJ2g+oHTqcoUOtv76+gogwduLJjB5fR83gobS2Jwnla+kdpPujflW9KUHSpQnOvw+4L87xlUBX1xh8G3jEY3c6hDNiS0lPfPFllAQyyJnARlXdrKqtOG6V5qvqGlW92tj2uttdOHr+/b18C0VHIBDggrnXEC4p5dXn/2LXR/URou4c3oRTTqdu8hk5ro2lg0J1dQQ0qOoZOC7xpqrqdBybVErypoNKQCK5Y1xEZJyILMAZhf3fBOfc0SHF3LfPChB7SkVlFRfOvYYjhw7w5stWL1PoNDcd58nf38+2TetzXRVLHETib3nOE+DMwLmzcABp6QN6FFG3F+iSrFFVt+Ksck6Iqi4Qkd3ANSUlJRlbZBzbSIy4S8arQMBzF6bh0xQblBnuYNQYqHiN1jHGbrMeKRqzV2RREkrePDrKGjlmHNPOns2a99/ljJnn0X9AjVNPjzLAnCAKFpnz+0z9iHgbf6qYZN59U6QRT7Shqrz24rMcbThCZVV/vxjCc37YEDa0Rvz7/cJGTCejnGCg03lAmSFUKDX2B5T6rzWozIgf5YnpZLouqipL7sooHDSfjcQxsPKlE8h3z+VeROQUHG8U/UXki56kaqAsnWvkeweVSO7YI2zI98xzxszZ1J162onOyVJ4rHl/OfVbN3HuRXOpGTws19WxxKFwuicATsbx/zcAv0PYo0Bav7353kGtAOpE5CRgJ45y8Cs9vaj1Zp55AoEA/Qc6upQtn37CqHHjCQet8qtQ2LO7npVvvcq4iSdz6tQzaW6zrqzyDaGwAhaq6tPA0yJyrqq+3Z1r5I0NKp4MUlXbge8AS3Ac0z7mSiB7hKouUtU7+ve3XpoyzaED+1i6+CneesXaowqJ3fXbqaruzwWXXllQP4JFhThT9PG2POcLIlItImERWSoi+1N5Me8gb0ZQiWSQqroYx617xrAjqOwxcNBgps+czQfL32TUmLGcctrUXFfJkgbTzj6PyWecRYld75Tf5H9nFI/LVfV/icgXcMw2X8JxNP77VBnzpoPqTXJhgzLbVdD32uMfyJrGbtPMHAkl9goQMQzWLcb6FfPt2Fw97zXCmnWOFWAYtXSrNW3m+Xy2cwevL13C0GEjqBk0OKVx17zjZG+FibwydPXZ7c1JrK54kkj33BjhQ5JzYwUAztkfr1lFTe1gaoYM93VOQeMLaPFM+ZnCG9OTRJnhwcEUCHk9TZjnmteqLvGLJEzvD+UeAVGMJwlDNGHGqTIbTP4PHPM/vHsCOr7Eq4A/qerBdEfpeTPFZ+k7BAIB5sybT7ikhBeeecr67MtTPttVz7Klz7HmgxW5roolDRwbVEHKzBeJyCfADGCpiAwGmtPJWJQjKDvFl30qKqu47Mr5tLa0EDQirlpyT3NzEy8t/gtV/fpzwaXpxJyz5AOFOIJS1btF5P/gLNiNiEgjTsyplBRlB2Vl5r3D6LEnnfi7taWFklJr38gHVJVXnl/E8cZjXPvlWyktLYtxMmzJTwqpexKRS1T1Ze8aKGNqL6XbvKLsoCy9y6ZPP+HVF5/l+pu+Rs2g2lxXp+j5dP1HbNuykdlz5jJk2PBcV8eSLlJYMnPgIuBlOtdAdRgyxf3bdlDxyMUUn9mwAh6TdtRoc6YhONYPgxEyw2NYblK/vafC8ELRHvWb0k1juLeaMXWOMbQbtYpRVTj/DRsxkoAEeH7RE3zp5tsIh8MxoSICGXg3jHZR9ZAqXEU8YsOqpJmvF35XYj9+T7gTTxuaMOkULr1yPhNOnoxX+uAlIP7PJuxpk2q0x3LxtzFp89cjaHqaqPQLH3znGo0omSgC/N4jTE8RpuDCvLbZXs3vNt/6AqEgJOUnUNV73T/vBK4DxtHZ56T18BWlSMKug+pdKqv6Mfeq+RzYv49lLy/JdXWKluamJhqPHSUQCDDxlNMK7W3cgvPSGG9LM+9WEVkjIqtEZKV7rEZEXhSRT93/B3rOv8cNc7ReRK7oQbX/gjOKagOOebaUFOUIytL7jD1pAjPOmc3Kd99k5OixTJ5yeq6rVFSoKkufX8S+vZ/x1dvuhIB99AuRDLxTXKyq3kgPd+MEd/2xG2/vbuD/dYO/3ojjS28ETqj2SZ64UF1hlKp2S4lTlCMoEblGRBYcOXIk11UpKs6ZfREjR43haIP93HubD99bzpZNnzJ9xixC4cRTbJb8Jgsy8/nAw+7fDwPXeo4/qqotqroFJ0DhzG6W8ZaIdOuNtChfo6yKLzcEAgGuveGrBMyVm5assnvXTt5a9jLjJ05i6pln57o6lm4iklRmXtsxbeeyQFUXGOco8II4q7T/y00fqqq7AVR1t4h0RB0dCbzjyZs01FH8+soat8wQ8HUR2Qy04IokVDWlm5mi7KB6g1RvNV4LoWm8NTURZnrIXBHvuZoaL8cRQzlgGrjNenoNzaanAtPrRCqvFFFP2SE3REPQvf7O7dvYtnUT518UN6BnTNl+8UbcLF1/k9TCs8F4a5zKyhxVpbm5icULn6Cqqh+XzruGgLjfr/EBm4KCNmMix/vZmueank9MYYPh0MFXtHmu+SiUhP3pFSX+n6wST+iP2HAaya9diDa4JFXer6ozUmSfraq73E7oRXfxbMKi4hzrqqro6i6eH4PtoCw5YdvWzax45y1qBw/hlMnWHpUtBGHo8BFMnzGLsrLyXFfH0iOk2ypSAFXd5f6/V0Sewpmy2yMiw93R03Bgr3t6j0Mdqeq2blfWxc61WHLCeRfMYcSo0by0ZDEHD+xPncHSZVSV0rIyrvr8dQwb3qXZGUse0iEz7443cxGpFJF+HX8DlwNrgYXAre5ptwJPu38vBG4UkVI33FEdsDyjN5QGRdlBWZFE7gkEAlx1zRcJBoM8+/QTtLW1pc5kSZvdu3by+B8ftoKUPkYPZOZDgTdE5EOcjuZZVX0e+DEwV0Q+Bea6+7hhjR4DPgKeB+7qpoKvRxRlB2XXQeUH/aqrmfe5a9m/by/r1nyY6+r0GZqbm3l24ZMcO3aUcLgk19WxZJDujqBUdbOqnuFup6nqfe7xA6p6qarWuf8f9OS5T1UnqOrJqvpc9u4qMdYGlSMkibnbVOrEroA3973CB39axHBTYQoZTB9sPmO4KXowjOEBM9yDJq6n+ZLXcalx4yfypZtuZdSY0b6qm14eNAteyHrTRt4rRYkzrffCcws5drSBG27+GpWVFUCsWMZsUxHjuzUFBl6iUX+bMc8NGg3DtJu0e/KbbcwUTZj75vneslN5iii88BoGheG5PKPYDsqSc0aOHoMIHDl8mKhGGTiwJtdVKlg+eG8FGzes56JL5jJ8hLU79SWccBvF1UMV5RSfJf+IRqM88ec/8MxTj9Pe3p7r6hQk0WiUdatXMX5iHWeefU6uq2PJAgUa8r3b2A7KkhcEAgHmXHo5+/bu4dWlL+S6OgVJIBDgxq9+jXlXX1t0b9rFgiT411exHZQlbxg/sY4Z55zL6g/eY/3H63JdnYJBVfngvRW0tbYSLimhrKws11WyZIkCjajbbYrSBpVvEXWTheKAWOOvYaP2vUGZXiZMg3WrMXsWCiQ2QpveHMyphFTRPb3JMddK4Axj9gUXs6t+By8+9wzDho1gYE1NzLUKka4swU92q/Gu88F7K3jlpecJBANMnXbmieOmqCVpISkq6D291PDu0Nrub5ChFG/0ZeHOnx2zbYdDZvv1p5cmSY9pj11sr/lOCldHfZKiHEFZmXn+EgwG+dznv8ipp02lsqoq19XJez7bvYtlr7zI+Al1nH7G9FxXx5Jl7AjKYskx/ar7M3feVQBEIhGCwWCKHMVJc3Mzz/zlcSoqK5l39XxrdyoCiu0rLsoRlKUwOHq0gUceXMAn1h4Vl1eXLuHo0Qaunn8d5eUVua6OJcsIQkDib30VO4Ky5C0VFZWUlJTwwuJFDBs2/IQ9yuJw7uyLGDtuPCNGjk59sqVP0If7orjYDipHJGtopr06ELME3giV4BE2mN4dooYnCUJ+g7bpacIvbOiZhwtvesoHK056MBjkmmuv55EH/4uFTz3OzbfcRigU6rLP/4RFduNhT6Y76A0EOHbsGJWVlQwYOIABAwecSFMzTIvnBiPmp5biPmIdSXReqz2S3OuE6QXExCt0SNWmTE8SZnqyNtbnRhZWJGGx5BfV/ftz5dXz2bvnM15d+mKuq5NzWpqb+dPvHuLFJYtzXRVLLyNJtr5KwXZQIjJeRB4Qkcc9xypF5GER+Y2I3JzL+lkyx4S6k5kxcxa7dtUXtddzVWXJc89w5MhhTpuSMhippQ/SA2/miMg8EVkvIhtF5O4sVzUj5KSDEpEHRWSviKw1jqf9AbreeW83Dn8ReFxVvwl8PsPVtuSQC+dcylf+6uuEw+HUJ/dRVr2/kvWffMQFcy5h5ChrdypGehAPKgj8ArgSmAzcJCKTs1vbnpOrEdRvgXneA4k+QBE5XUSeMbYhCa47Ctjh/t3rsUss2SMYDBIKhWhubua1V14qOn99ez7bzcsvLeGk8ROZec55ua6OJUf0YAQ1E9jovti3Ao8C87Na2QyQE5GEqi4TkXHG4RMfIICIPArMV9UfkX5s+3qcTmoVBTx9aUnMrvodfLZ7F22trYRCxaPxaW1tpXbwEK66xvrZK1Ycb+bdzj6Szpd3cH4r896jcD494V36AEVkEHAfMF1E7nE7sieBn4vI54BFCfLdAdzh7raUh/3TjFmmFujN+Oa9WV4v39utvf1ZdpCrcgFq7/z2t2z7KbzyTs7ERd5//70l5WGpTZBcJiIrPfsLVHWBZz9e15ZjTWpq8qmD6tIHqKoHgG8bxxqBrycrxP3SFgCIyEpVndH1qnaPvlxeX763fCg3F2Xb9pO5sjJxHVWdl/qshNQDXsPlKGBXz2qUffJpGqwgP0CLxWIpAFYAdSJykoiUADcCC3Ncp5TkUwdVkB+gxWKx5Duq2g58B1gCfAw8pqp570MsJ1N8IvInYA5QKyL1wL2q+oCIdHyAQeDBXvgAF6Q+xZaXh2Xlorxcl5uLsm37KbyyEqKqi4GCWuEtpjsbi8VisVjygXya4rNYLBaL5QS2g7JYLBZLXmI7KIvFYrHkJfm0DirvEZEA8EOgGlipqg9nubwLgJtxvqfJqpo1HzciMgb4Oc7ixQ2q+uNsleWWNxn4AXAAWKqqjyfP0a0yxgPfB/qr6vUiUgn8EmgFXlXVP3TxevOAn+CIeO7P9meURn189+ce69E9pllu1r87o7xea5u9+cy55fXqb0qhURQjqEw4p3WZj+Pxog1n3VZWy1PV11X128AzQNyGm8F7mwQ8q6q34fhCzOq94fhc/Jmq3gncko0y4jgU7rYz4Uw728yVw+QMfbYJv7sslddrbTOdZy7D95bWb0rRoqp9fgMuBM4E1nqOBYFNwHigBPgQ540J4HScBurdhgB3A99yz3k82+V58j4GVGf53gYBrwAvA1/vhc9yCM4P/v8F3szy5/e4+/89wDT37z92sQ2dCyzx7N8D3NMbbTLd+0vnHjNRbrLvLkvlZbxtpvGZJnzmMnxvaf2mFOtWFFN82gXntMBHqrqGOA5q3TVbre5uQm/pmSrPPW8McERVG7J8b/8Pznq0ZeLE2Hoo2/cG3OWOTJ7MYhleeuJMOKPONrtyj5pBh8kZLDfud5eN8rLRNpPdW6pnLsP3ltZvSrFSFFN8CYj3gzMyRZ4ngStE5GfAsl4oD+B2EjyQGS7reeC7IvJrYGu2yxORcSKyAHgE5008G2UMcu9nuojcg/P9XScivyKBM+Fkl4tzLNOLCLt0j3HuD7p3j10tt6vfXY/Ko5fbJt175rpbXk9+U/o8fWIEJSIvAcPiJH1fVZ9OlC3OsaQ/OKp6HLjdLe9iEbkzm+W5zMb5wTGPZ/re1gLXd3yW4ggCslJenO/r1+79ZfqeYhwKk8KZcBJ6w1dkrzhMzkC5W+mMCNAdulreWuD63ijLLe/ebpbV5fI6flN6UF6fpk90UKp6WTeydfsHpzfL64v31tv3lCFO+IoEduL4ivxKhsvI1T32drm9WV5fvrc+TzFP8fW2c9reLK8v3ltOnQlr7zjbzNU99sX2kouyclFe3ybXKo3e2IA/AbvplHLe7h6/CtiAo7r5fiGW1xfvrbfvqRjaZF9uL8Vwb8W6WWexFovFYslLinmKz2KxWCx5jO2gLBaLxZKX2A7KYrFYLHmJ7aAsFovFkpfYDspisVgseYntoCwWi8WSl/QJTxIWSypEJKfrKVQ1ngsci8WSBLsOymKxWCx5iZ3is1gMxOEnIvKqiLwjIl/zpD2bKAhdsnwWi6Xr2Ck+iyWWU4BJqjoHToTl7mA6Tkj1tPKJSAjHf18QGAi0q+pZWaq3xdKnsCMoiyWWDcAbIvKEiPxDx0ERGQoMB1anm09V21X1UhzP55uBL2S36hZL38F2UJaiQUQ2ishV7t8DReSoGwSvI/1lEfk2UKaq96nqdcC1OJ0SOKOnw8CF7rWOiMhDIhJ20+Pmc0N0/BwntPf27N+pxdI3sFN8lmLiIFDt/v0dYBtQAyAi04HJwG+B+0VkPM7z8RdV3enmOROoBCbgdFZDgDeA24D/Av7LzCcik4F/Am5T1cPZvkGLpS9hVXyWokFEngeeAP4AfAr8T+CbqnqZiPwe+EhV/zlJ/v8GylX1as+x3+DYlczoyh3p9TghGRrdQ/NV9UhGbshi6ePYEZSlmOgYQX0TeA74CKgRkVHAlTijqmRMB/7BODYEWJUog6qO6m5lLZZix3ZQlmLiEDAIR7BwOdCMo6z7G+ChZFNwIlINjAf2eI4NBS4B/jF7VbZYihcrkrAUEweBW4GVqroBOIIzAroV+M8UeacBEeCvRCTkjroeBR5V1fezVmOLpYixHZSlmDgIjAB+7O43AGXAs6panyLvdOBlYBfOKOotYBkQ1/ZksVh6jhVJWCwWiyUvsSMoi8ViseQltoOyWCwWS15iOyiLxWKx5CW2g7JYLBZLXmI7KIvFYrHkJbaDslgsFkteYjsoi8ViseQltoOyWCwWS15iOyiLxWKx5CW2g7JYLBZLXvL/AxEljtXnxy3UAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x216 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6,3))\n",
    "fig.set_tight_layout(True)\n",
    "\n",
    "xhist((aMLI).chunk({'time':1}), \n",
    "      wpbp_coar.chunk({'time':1}),\n",
    "      bins=[np.logspace(-10,-6,30), \n",
    "            np.concatenate((-np.logspace(-6,-10,30),\n",
    "                            np.concatenate((np.linspace(-9e-11,9e-11,5),np.logspace(-10,-6,30)))))\n",
    "           ]\n",
    "     ).plot(ax=ax, cmap='Blues')\n",
    "\n",
    "ax.plot(np.linspace(1e-10,1e-6), np.linspace(1e-10,1e-6), c='grey', ls='--')\n",
    "ax.plot(np.linspace(-1e-6,-1e-10), np.linspace(1e-6,1e-10), c='grey', ls='--')\n",
    "ax.set_xscale('symlog', linthresh=1e-10)\n",
    "ax.set_yscale('log')\n",
    "ax.set_ylim([1e-10,1e-6])\n",
    "ax.set_xlim([-1e-6,1e-6])\n",
    "ax.set_xlabel(r\"$\\overline{w^sb^s}^z$\", fontsize=13)\n",
    "ax.set_ylabel(r\"$C_e(t)\\times$MLI\", fontsize=13)\n",
    "\n",
    "plt.savefig('/home/jovyan/Figures/FIOCOM32-wb_medianCe-hist_01.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "8ab02f38-226d-4156-93e7-71b931a60781",
   "metadata": {},
   "outputs": [],
   "source": [
    "alpham = (Ce).mean(['yu_ocean','xu_ocean'],skipna=True)\n",
    "\n",
    "amMLI = alpham*MLI\n",
    "amMLI.name = 'MLI'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "4f5f2053-388c-4e3f-864a-967e6d78b81d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x216 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6,3))\n",
    "fig.set_tight_layout(True)\n",
    "\n",
    "xhist((amMLI).chunk({'time':1}), \n",
    "      wpbp_coar.chunk({'time':1}),\n",
    "      bins=[np.logspace(-10,-6,30), \n",
    "            np.concatenate((-np.logspace(-6,-10,30),\n",
    "                            np.concatenate((np.linspace(-9e-11,9e-11,5),np.logspace(-10,-6,30)))))\n",
    "           ]\n",
    "     ).plot(ax=ax, cmap='Blues')\n",
    "\n",
    "ax.plot(np.linspace(1e-10,1e-6), np.linspace(1e-10,1e-6), c='grey', ls='--')\n",
    "ax.plot(np.linspace(-1e-6,-1e-10), np.linspace(1e-6,1e-10), c='grey', ls='--')\n",
    "ax.set_xscale('symlog', linthresh=1e-10)\n",
    "ax.set_yscale('log')\n",
    "ax.set_ylim([1e-10,1e-6])\n",
    "ax.set_xlim([-1e-6,1e-6])\n",
    "ax.set_xlabel(r\"$\\overline{w^sb^s}^z$\", fontsize=13)\n",
    "ax.set_ylabel(r\"$C_e(t)\\times$MLI\", fontsize=13)\n",
    "\n",
    "plt.savefig('/home/jovyan/Figures/FIOCOM32-wb_meanCe-hist_01.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "d4f8de3c-eb87-4a78-89bb-b2be01912715",
   "metadata": {},
   "outputs": [],
   "source": [
    "alpha75 = np.ones(len(MLI.time))\n",
    "for i in range(len(MLI.time)):\n",
    "    alpha75[i] = np.quantile(np.ma.masked_invalid((Ce).isel(time=i)).compressed(), \n",
    "                             .75\n",
    "                            )\n",
    "\n",
    "a75MLI = alpha75[:,np.newaxis,np.newaxis]*MLI\n",
    "a75MLI.name = 'MLI'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "a07b1199-60a3-49e6-9010-e10f118da121",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x216 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6,3))\n",
    "fig.set_tight_layout(True)\n",
    "\n",
    "xhist((a75MLI).chunk({'time':1}), \n",
    "      wpbp_coar.chunk({'time':1}),\n",
    "      bins=[np.logspace(-10,-6,30), \n",
    "            np.concatenate((-np.logspace(-6,-10,30),\n",
    "                            np.concatenate((np.linspace(-9e-11,9e-11,5),np.logspace(-10,-6,30)))))\n",
    "           ]\n",
    "     ).plot(ax=ax, cmap='Blues')\n",
    "\n",
    "ax.plot(np.linspace(1e-10,1e-6), np.linspace(1e-10,1e-6), c='grey', ls='--')\n",
    "ax.plot(np.linspace(-1e-6,-1e-10), np.linspace(1e-6,1e-10), c='grey', ls='--')\n",
    "ax.set_xscale('symlog', linthresh=1e-10)\n",
    "ax.set_yscale('log')\n",
    "ax.set_ylim([1e-10,1e-6])\n",
    "ax.set_xlim([-1e-6,1e-6])\n",
    "ax.set_xlabel(r\"$\\overline{w^sb^s}^z$\", fontsize=13)\n",
    "ax.set_ylabel(r\"$C_e(t)\\times$MLI\", fontsize=13)\n",
    "\n",
    "plt.savefig('/home/jovyan/Figures/FIOCOM32-wb_075Ce-hist_01.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "913c4a30-8efa-4884-b1e3-4469f3f26bb3",
   "metadata": {},
   "outputs": [],
   "source": [
    "alphamo = np.ones(len(MLI.time))\n",
    "for i in range(len(MLI.time)):\n",
    "    histo = xhist(Ce.isel(time=i),\n",
    "                  bins=[np.logspace(-4,2,100)\n",
    "                       ]\n",
    "                 )\n",
    "    ix = np.argmax(histo.values)\n",
    "    alphamo[i] = histo.Ce_bin[ix]\n",
    "\n",
    "amoMLI = alphamo[:,np.newaxis,np.newaxis]*MLI\n",
    "amoMLI.name = 'MLI'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "b9a8c3cf-eeb6-4f7a-ae2e-34aad24a0901",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x216 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6,3))\n",
    "fig.set_tight_layout(True)\n",
    "\n",
    "xhist((amoMLI).chunk({'time':1}), \n",
    "      wpbp_coar.chunk({'time':1}),\n",
    "      bins=[np.logspace(-10,-6,30), \n",
    "            np.concatenate((-np.logspace(-6,-10,30),\n",
    "                            np.concatenate((np.linspace(-9e-11,9e-11,5),np.logspace(-10,-6,30)))))\n",
    "           ]\n",
    "     ).plot(ax=ax, cmap='Blues')\n",
    "\n",
    "ax.plot(np.linspace(1e-10,1e-6), np.linspace(1e-10,1e-6), c='grey', ls='--')\n",
    "ax.plot(np.linspace(-1e-6,-1e-10), np.linspace(1e-6,1e-10), c='grey', ls='--')\n",
    "ax.set_xscale('symlog', linthresh=1e-10)\n",
    "ax.set_yscale('log')\n",
    "ax.set_ylim([1e-10,1e-6])\n",
    "ax.set_xlim([-1e-6,1e-6])\n",
    "ax.set_xlabel(r\"$\\overline{w^sb^s}^z$\", fontsize=13)\n",
    "ax.set_ylabel(r\"$C_e(t)\\times$MLI\", fontsize=13)\n",
    "\n",
    "plt.savefig('/home/jovyan/Figures/FIOCOM32-wb_modeCe-hist_01.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "26ab89a6-3740-4b38-bc73-07d70680cc00",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "distributed.comm.tcp - WARNING - Closing dangling stream in <TCP  local=tcp://127.0.0.1:51668 remote=tcp://127.0.0.1:33833>\n"
     ]
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(7,4))\n",
    "fig.set_tight_layout(True)\n",
    "ax2 = ax.twinx()\n",
    "\n",
    "ax.plot(time, wpbp_coar.median(['yu_ocean','xu_ocean'],skipna=True), c='k', label=r\"$\\overline{w^sb^s}^z$\")\n",
    "ax.plot(time, amoMLI.median(['yu_ocean','xu_ocean'],skipna=True), c='r', label=r'$C_e(t) \\times MLI$')\n",
    "ax.plot(time, (alphamo.mean()*MLI).median(['yu_ocean','xu_ocean'],skipna=True), c='r', ls='--', label=r'$C_e \\times MLI$')\n",
    "\n",
    "ax2.plot(time, alphamo, c='b')\n",
    "\n",
    "ax.set_ylabel(r\"[m$^2$ s$^{-3}$]\", fontsize=12)\n",
    "ax.set_xticks(['2018-02-01','2018-02-15','2018-03-01','2018-03-15','2018-04-01','2018-04-15','2018-05-01'])\n",
    "ax.set_xticklabels(labels=['2018-02-01','2018-02-15','2018-03-01','2018-03-15','2018-04-01','2018-04-15','2018-05-01'],\n",
    "                   rotation=20)\n",
    "ax2.set_ylabel(r\"$C_e(t)$\", fontsize=12, c='b')\n",
    "ax2.spines['right'].set_color('b')\n",
    "ax2.tick_params(axis='y', colors='b')\n",
    "\n",
    "ax.legend(loc='upper left', fontsize=12)\n",
    "plt.savefig('/home/jovyan/Figures/FIOCOM32-wb_modeCe-timeseries_01.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3d3138ad-1beb-4b57-8f73-aa94aa1bf176",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}