om3_cicegrid_area_comparisons.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6ea95886-15ec-4fde-81ac-461661c8170b",
   "metadata": {},
   "source": [
    "We are going to compare the cice input grid to the cice output grid (areas)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22cb46a4-bfc4-414d-bf4d-a6e02e4824a1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-08T01:55:11.038410Z",
     "iopub.status.busy": "2024-03-08T01:55:11.035368Z",
     "iopub.status.idle": "2024-03-08T01:55:11.047294Z",
     "shell.execute_reply": "2024-03-08T01:55:11.045869Z",
     "shell.execute_reply.started": "2024-03-08T01:55:11.038352Z"
    }
   },
   "source": [
    "Some arbitrary output from current om3:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7681375d-e102-4d50-9a8f-966caeb0f551",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-08T00:29:12.846483Z",
     "iopub.status.busy": "2024-03-08T00:29:12.845769Z",
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     "shell.execute_reply": "2024-03-08T00:29:13.801314Z",
     "shell.execute_reply.started": "2024-03-08T00:29:12.846435Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/scratch/tm70/as2285/experiments/archive/b_grid/output000\n"
     ]
    }
   ],
   "source": [
    "cd /scratch/tm70/as2285/experiments/archive/b_grid/output000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "caaef4a5-3ac4-4d44-a262-19e6cc45f411",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-08T00:29:14.471029Z",
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     "shell.execute_reply.started": "2024-03-08T00:29:14.470983Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total 1922852\n",
      "-rw-r----- 1 as2285      1461 Feb 26 10:50 access-om3.err\n",
      "-rw-r----- 1 as2285    132595 Feb 26 10:50 access-om3.out\n",
      "-rw-r----- 1 as2285    154953 Feb 26 10:32 available_diags.000000\n",
      "-rw-rw-r-- 1 as2285      1496 Feb 26 10:32 config.yaml\n",
      "-rw-rw-r-- 1 as2285       440 Feb 26 10:32 datm_in\n",
      "-rw-rw-r-- 1 as2285     84199 Feb 26 10:32 datm.streams.xml\n",
      "-rw-rw-r-- 1 as2285     14257 Feb 26 10:32 diag_table\n",
      "-rw-rw-r-- 1 as2285       249 Feb 26 10:32 drof_in\n",
      "-rw-rw-r-- 1 as2285     18420 Feb 26 10:32 drof.streams.xml\n",
      "-rw-rw-r-- 1 as2285       552 Feb 26 10:32 drv_in\n",
      "-rw-r----- 1 as2285     18687 Feb 26 10:32 env.yaml\n",
      "-rw-rw-r-- 1 as2285     39124 Feb 26 10:32 fd.yaml\n",
      "-rw-r----- 1 as2285   3572009 Feb 26 10:33 GMOM_JRA.cice.h.1958-01-01.nc\n",
      "-rw-r----- 1 as2285   3585127 Feb 26 10:34 GMOM_JRA.cice.h.1958-01-02.nc\n",
      "-rw-r----- 1 as2285   3611244 Feb 26 10:34 GMOM_JRA.cice.h.1958-01-03.nc\n",
      "-rw-r----- 1 as2285   3624474 Feb 26 10:35 GMOM_JRA.cice.h.1958-01-04.nc\n",
      "-rw-r----- 1 as2285   3632763 Feb 26 10:35 GMOM_JRA.cice.h.1958-01-05.nc\n",
      "-rw-r----- 1 as2285   3641050 Feb 26 10:36 GMOM_JRA.cice.h.1958-01-06.nc\n",
      "-rw-r----- 1 as2285   3646143 Feb 26 10:37 GMOM_JRA.cice.h.1958-01-07.nc\n",
      "-rw-r----- 1 as2285   3649699 Feb 26 10:37 GMOM_JRA.cice.h.1958-01-08.nc\n",
      "-rw-r----- 1 as2285   3650756 Feb 26 10:38 GMOM_JRA.cice.h.1958-01-09.nc\n",
      "-rw-r----- 1 as2285   3657922 Feb 26 10:38 GMOM_JRA.cice.h.1958-01-10.nc\n",
      "-rw-r----- 1 as2285   3663664 Feb 26 10:39 GMOM_JRA.cice.h.1958-01-11.nc\n",
      "-rw-r----- 1 as2285   3663786 Feb 26 10:39 GMOM_JRA.cice.h.1958-01-12.nc\n",
      "-rw-r----- 1 as2285   3670900 Feb 26 10:40 GMOM_JRA.cice.h.1958-01-13.nc\n",
      "-rw-r----- 1 as2285   3672807 Feb 26 10:40 GMOM_JRA.cice.h.1958-01-14.nc\n",
      "-rw-r----- 1 as2285   3676543 Feb 26 10:41 GMOM_JRA.cice.h.1958-01-15.nc\n",
      "-rw-r----- 1 as2285   3680364 Feb 26 10:42 GMOM_JRA.cice.h.1958-01-16.nc\n",
      "-rw-r----- 1 as2285   3686259 Feb 26 10:42 GMOM_JRA.cice.h.1958-01-17.nc\n",
      "-rw-r----- 1 as2285   3694772 Feb 26 10:43 GMOM_JRA.cice.h.1958-01-18.nc\n",
      "-rw-r----- 1 as2285   3699473 Feb 26 10:43 GMOM_JRA.cice.h.1958-01-19.nc\n",
      "-rw-r----- 1 as2285   3695793 Feb 26 10:44 GMOM_JRA.cice.h.1958-01-20.nc\n",
      "-rw-r----- 1 as2285   3695880 Feb 26 10:44 GMOM_JRA.cice.h.1958-01-21.nc\n",
      "-rw-r----- 1 as2285   3702274 Feb 26 10:45 GMOM_JRA.cice.h.1958-01-22.nc\n",
      "-rw-r----- 1 as2285   3708358 Feb 26 10:45 GMOM_JRA.cice.h.1958-01-23.nc\n",
      "-rw-r----- 1 as2285   3708597 Feb 26 10:46 GMOM_JRA.cice.h.1958-01-24.nc\n",
      "-rw-r----- 1 as2285   3715191 Feb 26 10:47 GMOM_JRA.cice.h.1958-01-25.nc\n",
      "-rw-r----- 1 as2285   3715728 Feb 26 10:47 GMOM_JRA.cice.h.1958-01-26.nc\n",
      "-rw-r----- 1 as2285   3717860 Feb 26 10:48 GMOM_JRA.cice.h.1958-01-27.nc\n",
      "-rw-r----- 1 as2285   3719742 Feb 26 10:48 GMOM_JRA.cice.h.1958-01-28.nc\n",
      "-rw-r----- 1 as2285   3720736 Feb 26 10:49 GMOM_JRA.cice.h.1958-01-29.nc\n",
      "-rw-r----- 1 as2285   3709150 Feb 26 10:49 GMOM_JRA.cice.h.1958-01-30.nc\n",
      "-rw-r----- 1 as2285   3711416 Feb 26 10:50 GMOM_JRA.cice.h.1958-01-31.nc\n",
      "-rw-r----- 1 as2285  16880874 Feb 26 10:50 GMOM_JRA.cice.h.1958-01.nc\n",
      "-rw-r----- 1 as2285 207362372 Feb 26 10:49 GMOM_JRA.cpl.hx.ocn.24h.avg.1958-01-02-00000.nc\n",
      "-rw-r----- 1 as2285   6913676 Feb 26 10:50 GMOM_JRA.cpl.hx.ocn.24h.avg.1958-02-01-00000.nc\n",
      "-rw-r----- 1 as2285 475259444 Feb 26 10:50 GMOM_JRA.mom6.h.native_1958_01.nc\n",
      "-rw-r----- 1 as2285 160739172 Feb 26 10:50 GMOM_JRA.mom6.h.sfc_1958_01.nc\n",
      "-rw-r----- 1 as2285   8673292 Feb 26 10:50 GMOM_JRA.mom6.h.static.nc\n",
      "-rw-r----- 1 as2285 302435596 Feb 26 10:50 GMOM_JRA.mom6.h.z_1958_01.nc\n",
      "-rw-rw-r-- 1 as2285      3205 Feb 26 10:32 ice_in\n",
      "drwxr-s--- 2 as2285      4096 Feb 26 10:50 \u001b[0m\u001b[01;34minput\u001b[0m/\n",
      "-rw-rw-r-- 1 as2285       366 Feb 26 10:32 input.nml\n",
      "-rw-r----- 1 as2285       320 Feb 26 10:50 job.yaml\n",
      "drwxr-s--- 2 as2285      4096 Feb 26 10:32 \u001b[01;34mlog\u001b[0m/\n",
      "-rw-r----- 1 as2285     46599 Feb 26 10:50 logfile.000000.out\n",
      "drwxr-s--- 2 as2285      4096 Feb 26 10:32 \u001b[01;34mmanifests\u001b[0m/\n",
      "-rw-r----- 1 as2285 659266620 Feb 26 10:33 MOM_IC.nc\n",
      "-rw-rw-r-- 1 as2285     63166 Feb 26 10:32 MOM_input\n",
      "-rw-rw-r-- 1 as2285       289 Feb 26 10:32 MOM_override\n",
      "-rw-r----- 1 as2285    181489 Feb 26 10:32 MOM_parameter_doc.all\n",
      "-rw-r----- 1 as2285      5657 Feb 26 10:32 MOM_parameter_doc.debugging\n",
      "-rw-r----- 1 as2285      4661 Feb 26 10:32 MOM_parameter_doc.layout\n",
      "-rw-r----- 1 as2285     44528 Feb 26 10:32 MOM_parameter_doc.short\n",
      "-rw-rw-r-- 1 as2285     12238 Feb 26 10:32 nuopc.runconfig\n",
      "-rw-rw-r-- 1 as2285       814 Feb 26 10:32 nuopc.runseq\n",
      "-rw-r----- 1 as2285  16445928 Feb 26 10:32 ocean_geometry.nc\n",
      "-rw-r----- 1 as2285      5532 Feb 26 10:50 ocean.stats\n",
      "-rw-r----- 1 as2285     75432 Feb 26 10:50 ocean.stats.nc\n",
      "-rw-r----- 1 as2285     18704 Feb 26 10:32 Vertical_coordinate.nc\n"
     ]
    }
   ],
   "source": [
    "ll"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "505c2cfc-b61c-47b1-8c47-aeeb0fddd72b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-08T00:32:42.709939Z",
     "iopub.status.busy": "2024-03-08T00:32:42.708907Z",
     "iopub.status.idle": "2024-03-08T00:32:42.714981Z",
     "shell.execute_reply": "2024-03-08T00:32:42.713708Z",
     "shell.execute_reply.started": "2024-03-08T00:32:42.709888Z"
    }
   },
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a42712aa-fb67-4daf-bf62-d6ca104b1630",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-08T00:30:12.236783Z",
     "iopub.status.busy": "2024-03-08T00:30:12.235888Z",
     "iopub.status.idle": "2024-03-08T00:30:12.274192Z",
     "shell.execute_reply": "2024-03-08T00:30:12.273506Z",
     "shell.execute_reply.started": "2024-03-08T00:30:12.236733Z"
    }
   },
   "outputs": [],
   "source": [
    "ds = xr.open_dataset('GMOM_JRA.cice.h.1958-01-01.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "195dd67a-b965-49b2-bd30-86afa5c85964",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-08T00:30:58.128856Z",
     "iopub.status.busy": "2024-03-08T00:30:58.127623Z",
     "iopub.status.idle": "2024-03-08T00:30:58.350154Z",
     "shell.execute_reply": "2024-03-08T00:30:58.348782Z",
     "shell.execute_reply.started": "2024-03-08T00:30:58.128798Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "work/input/grid.nc:\n",
      "  fullpath: /g/data/ik11/inputs/access-om3/0.x.0/1deg/cice/grid.nc\n",
      "work/input/ocean_hgrid.nc:\n",
      "  fullpath: /g/data/ik11/inputs/access-om3/0.x.0/1deg/mom/ocean_hgrid.nc\n",
      "work/input/ocean_vgrid.nc:\n",
      "  fullpath: /g/data/ik11/inputs/access-om3/0.x.0/1deg/mom/ocean_vgrid.nc\n"
     ]
    }
   ],
   "source": [
    "cat manifests/input.yaml | grep grid.nc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "50eb4cf7-2dad-4a2d-b4b8-b267855b126d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-08T00:31:23.203526Z",
     "iopub.status.busy": "2024-03-08T00:31:23.202282Z",
     "iopub.status.idle": "2024-03-08T00:31:23.548497Z",
     "shell.execute_reply": "2024-03-08T00:31:23.547579Z",
     "shell.execute_reply.started": "2024-03-08T00:31:23.203470Z"
    }
   },
   "outputs": [],
   "source": [
    "grid = xr.open_dataset('/g/data/ik11/inputs/access-om3/0.x.0/1deg/cice/grid.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "a334daf3-e52d-4082-aa66-00e6dd2e97f7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-08T00:33:58.355336Z",
     "iopub.status.busy": "2024-03-08T00:33:58.353281Z",
     "iopub.status.idle": "2024-03-08T00:33:59.412666Z",
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     "shell.execute_reply.started": "2024-03-08T00:33:58.355279Z"
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   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x148deded7520>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.pcolor(grid.tarea.values-ds.tarea.values, vmin=-1e6, vmax=1e6)\n",
    "plt.colorbar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "e045840c-94fb-4a88-b846-b08eec75860d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-08T00:35:59.902017Z",
     "iopub.status.busy": "2024-03-08T00:35:59.901042Z",
     "iopub.status.idle": "2024-03-08T00:36:00.677819Z",
     "shell.execute_reply": "2024-03-08T00:36:00.677064Z",
     "shell.execute_reply.started": "2024-03-08T00:35:59.901966Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x148ddfb277c0>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.pcolor(grid.uarea.values-ds.uarea.values, vmin=-1e6, vmax=1e6)\n",
    "plt.colorbar()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "69aa403a-aad1-4d00-a681-85f46ec5b68f",
   "metadata": {},
   "source": [
    "Note that neither match"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48c36276-fc5d-49a7-963e-19c4db56fcb1",
   "metadata": {},
   "source": [
    "We can also derive areas from mom supergrid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "e312bc21-431c-4874-88be-801f6c16ee9e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-08T00:37:09.393347Z",
     "iopub.status.busy": "2024-03-08T00:37:09.392267Z",
     "iopub.status.idle": "2024-03-08T00:37:09.456298Z",
     "shell.execute_reply": "2024-03-08T00:37:09.455158Z",
     "shell.execute_reply.started": "2024-03-08T00:37:09.393293Z"
    }
   },
   "outputs": [],
   "source": [
    "mom_ds = xr.open_dataset('/g/data/ik11/inputs/access-om3/0.x.0/1deg/mom/ocean_hgrid.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "9a3ca13a-c2de-4723-8c7b-90e0181fa464",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-08T00:37:31.817038Z",
     "iopub.status.busy": "2024-03-08T00:37:31.815862Z",
     "iopub.status.idle": "2024-03-08T00:37:31.827090Z",
     "shell.execute_reply": "2024-03-08T00:37:31.825829Z",
     "shell.execute_reply.started": "2024-03-08T00:37:31.816986Z"
    }
   },
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;area&#x27; (ny: 600, nx: 720)&gt;\n",
       "[432000 values with dtype=float64]\n",
       "Dimensions without coordinates: ny, nx\n",
       "Attributes:\n",
       "    standard_name:  grid_cell_area\n",
       "    units:          m2</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'area'</div><ul class='xr-dim-list'><li><span>ny</span>: 600</li><li><span>nx</span>: 720</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9dae888f-74f5-4749-8c4a-7cf2bc106619' class='xr-array-in' type='checkbox' checked><label for='section-9dae888f-74f5-4749-8c4a-7cf2bc106619' 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>...</span></div><div class='xr-array-data'><pre>[432000 values with dtype=float64]</pre></div></div></li><li class='xr-section-item'><input id='section-77023cbf-6f03-4a09-a1c5-8750dd57077f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-77023cbf-6f03-4a09-a1c5-8750dd57077f' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-5966d786-3c69-4c32-9e4c-8f650a7b8a99' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5966d786-3c69-4c32-9e4c-8f650a7b8a99' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-d761da97-dd6d-4b97-9097-ae10c8075147' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d761da97-dd6d-4b97-9097-ae10c8075147' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>grid_cell_area</dd><dt><span>units :</span></dt><dd>m2</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'area' (ny: 600, nx: 720)>\n",
       "[432000 values with dtype=float64]\n",
       "Dimensions without coordinates: ny, nx\n",
       "Attributes:\n",
       "    standard_name:  grid_cell_area\n",
       "    units:          m2"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mom_ds.area"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "b0f19037-bd83-445c-8cf6-05dbd2ef85b4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-08T00:38:24.245423Z",
     "iopub.status.busy": "2024-03-08T00:38:24.244294Z",
     "iopub.status.idle": "2024-03-08T00:38:24.260547Z",
     "shell.execute_reply": "2024-03-08T00:38:24.259594Z",
     "shell.execute_reply.started": "2024-03-08T00:38:24.245373Z"
    }
   },
   "outputs": [],
   "source": [
    "mom_tarea = mom_ds.area.coarsen(ny=2, nx=2).sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "2b6b3fc5-e6f5-4ec7-b295-a0b94f372390",
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     "shell.execute_reply": "2024-03-08T00:38:24.566264Z",
     "shell.execute_reply.started": "2024-03-08T00:38:24.554382Z"
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       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;area&#x27; (ny: 300, nx: 360)&gt;\n",
       "array([[6.40954519e+08, 6.40954519e+08, 6.40954519e+08, ...,\n",
       "        6.40954519e+08, 6.40954519e+08, 6.40954519e+08],\n",
       "       [6.55479360e+08, 6.55479360e+08, 6.55479360e+08, ...,\n",
       "        6.55479360e+08, 6.55479360e+08, 6.55479360e+08],\n",
       "       [6.71796417e+08, 6.71796417e+08, 6.71796417e+08, ...,\n",
       "        6.71796417e+08, 6.71796417e+08, 6.71796417e+08],\n",
       "       ...,\n",
       "       [3.83272870e+07, 1.11802998e+08, 1.80809918e+08, ...,\n",
       "        1.80809918e+08, 1.11802998e+08, 3.83272870e+07],\n",
       "       [3.83694840e+07, 1.11917601e+08, 1.80981790e+08, ...,\n",
       "        1.80981790e+08, 1.11917601e+08, 3.83694840e+07],\n",
       "       [3.83906179e+07, 1.11974990e+08, 1.81067845e+08, ...,\n",
       "        1.81067845e+08, 1.11974990e+08, 3.83906179e+07]])\n",
       "Dimensions without coordinates: ny, nx\n",
       "Attributes:\n",
       "    standard_name:  grid_cell_area\n",
       "    units:          m2</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'area'</div><ul class='xr-dim-list'><li><span>ny</span>: 300</li><li><span>nx</span>: 360</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-97ee7e8e-6b9c-40e5-9796-0a1c994637b6' class='xr-array-in' type='checkbox' checked><label for='section-97ee7e8e-6b9c-40e5-9796-0a1c994637b6' 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>6.41e+08 6.41e+08 6.41e+08 6.41e+08 ... 1.811e+08 1.12e+08 3.839e+07</span></div><div class='xr-array-data'><pre>array([[6.40954519e+08, 6.40954519e+08, 6.40954519e+08, ...,\n",
       "        6.40954519e+08, 6.40954519e+08, 6.40954519e+08],\n",
       "       [6.55479360e+08, 6.55479360e+08, 6.55479360e+08, ...,\n",
       "        6.55479360e+08, 6.55479360e+08, 6.55479360e+08],\n",
       "       [6.71796417e+08, 6.71796417e+08, 6.71796417e+08, ...,\n",
       "        6.71796417e+08, 6.71796417e+08, 6.71796417e+08],\n",
       "       ...,\n",
       "       [3.83272870e+07, 1.11802998e+08, 1.80809918e+08, ...,\n",
       "        1.80809918e+08, 1.11802998e+08, 3.83272870e+07],\n",
       "       [3.83694840e+07, 1.11917601e+08, 1.80981790e+08, ...,\n",
       "        1.80981790e+08, 1.11917601e+08, 3.83694840e+07],\n",
       "       [3.83906179e+07, 1.11974990e+08, 1.81067845e+08, ...,\n",
       "        1.81067845e+08, 1.11974990e+08, 3.83906179e+07]])</pre></div></div></li><li class='xr-section-item'><input id='section-e3c47e39-f498-4fb5-a441-edfafe4beb5b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e3c47e39-f498-4fb5-a441-edfafe4beb5b' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-2a0ca109-cff7-4aa0-a3df-8eea4a5db14f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2a0ca109-cff7-4aa0-a3df-8eea4a5db14f' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-a6a19cd8-b8ae-46cf-b0e3-709a2b475e10' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a6a19cd8-b8ae-46cf-b0e3-709a2b475e10' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>grid_cell_area</dd><dt><span>units :</span></dt><dd>m2</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'area' (ny: 300, nx: 360)>\n",
       "array([[6.40954519e+08, 6.40954519e+08, 6.40954519e+08, ...,\n",
       "        6.40954519e+08, 6.40954519e+08, 6.40954519e+08],\n",
       "       [6.55479360e+08, 6.55479360e+08, 6.55479360e+08, ...,\n",
       "        6.55479360e+08, 6.55479360e+08, 6.55479360e+08],\n",
       "       [6.71796417e+08, 6.71796417e+08, 6.71796417e+08, ...,\n",
       "        6.71796417e+08, 6.71796417e+08, 6.71796417e+08],\n",
       "       ...,\n",
       "       [3.83272870e+07, 1.11802998e+08, 1.80809918e+08, ...,\n",
       "        1.80809918e+08, 1.11802998e+08, 3.83272870e+07],\n",
       "       [3.83694840e+07, 1.11917601e+08, 1.80981790e+08, ...,\n",
       "        1.80981790e+08, 1.11917601e+08, 3.83694840e+07],\n",
       "       [3.83906179e+07, 1.11974990e+08, 1.81067845e+08, ...,\n",
       "        1.81067845e+08, 1.11974990e+08, 3.83906179e+07]])\n",
       "Dimensions without coordinates: ny, nx\n",
       "Attributes:\n",
       "    standard_name:  grid_cell_area\n",
       "    units:          m2"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mom_tarea"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "38c1ee88-4044-452d-98ea-a5a2712c81fb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-08T00:38:26.768890Z",
     "iopub.status.busy": "2024-03-08T00:38:26.767974Z",
     "iopub.status.idle": "2024-03-08T00:38:27.569717Z",
     "shell.execute_reply": "2024-03-08T00:38:27.569041Z",
     "shell.execute_reply.started": "2024-03-08T00:38:26.768838Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x148ddc86b9d0>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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vERGRSRxCwGHgd76RZa2OAQk0WiH08gzr/TU9u28/kHx4/iL1bIr25PrlBHT2MzsBJLg1+3pk3fUr0GEDLvQUcFziRHxKB3omdXbZnHEkYd/5XMTjW/wosQO94zqbqE86f8DfOhKx73w/nOm6lrdnUgfOpHSgwyHBmRiHhB8kxLcpW0nU8isAxa8+tRYPSag0T7t3s7i/VtO1sNwVpNZFA415bs3TRnlt3xf3HQ3DKEPTN+Hn6hrP+aaUC0C9bHiUC0C7bHiWC8C7bGiVC8C7bGiVC8BH2fAsF277oEimVi4AZdnw911zKxs+y4XnfBPLBeCxfQuJxBiS7oIBSbBUviv+rgDQShPUlQP+lpNUzptdr0Vc5ws5KPHcnHuTcALgTAQcNgFHDyfQw4H4RAcczs5a+1R7T3x1Nhstjh44mNCKXnGdNelZZ198fyEVfz/fG6faOytjhzOuc9keDjicnRsXCRLikgDJdeWAe7eRe548Kl3V11qBiq/5GhWr2nKBVMiq2wuk0vfDZ3+9yUw5hwTzXfVTLvQup7kfHmVDrVwA3mVDq1wA8CobWuUC8C4bWuUCgFfZ0CwXXfvl2W2pVS5cx8fnAFfXOgNYRpEXle+mZjBh8HusWd6oW2BAopdqhRlASQsgeAk6Kx6/9OVcSFAOgHP95+ojdr+fQRw6B9ElAM4kAWeSABIFENe5YLujc/TpyfM94BQSWi8koyEhDbauu6u1ORNw9oINp9p7oKUtWbEM4jrX5XQKuAYMSvFAnANeVzh4HQtffc8I7JBrCuRXn+ayKr8GQxU0hDAYMZ3m91tn2TBYLgCVsqFSLuQ/3cqGZrkAvMqGVrkAvMuGVrno3K6ybGiWC7e8qo35MNyyEEhLoepyGq0kMVQ2nBBwsIVEFwYkLoEOaPUQ7tYRwK3Mu/1Ccf0y8vmr3r3iki4GJHA1SScAIkHAmSggEgREvIAEwOmQ0N7RWYmejrPhgojDDxcSkRTnQEJcZ215wRmHdmc8zl1IxLmOzksY2zvi4XR0blTECyBBwOnavzgJ6PolCHSeIBSDDt2OhfLAue2D+zy1+Z6LmtFK4pYHX8v53K78v4HKW/Gz1iS+gmyVz8TXd1RvudCcr7NcuOYryoZGuXBPKw8OVSkXALzKhla5ALzLhq9yASjLhuFyofWeezI/LYF+Wx2DXM7rfdXmqzAG/CZjl41+MR2QBN1U7Su9kdYRHbwqX/dseJ443f73vLIFwMW7QCaIi3eCdA92nHG40PWr7lwbcMERh7b4BMTHCUhdB1EICQ6nhHZHPDoudKa94IiHcMYp8uNqAgcEnJDk/nvJ4ZYvV+WrVQF7HuoAgpGgGfk16FoeAazDlUyziTsyFXNQZcNfWn8fTBjKhZwN9/fUTtjuLSS+ykVXvl1lQ6tcAN5lQ6tcAN5lw2e5gMffGuVC3jczGC0Xga6ji8+gxuQxKxR5MR2QEBERmYlX2ejHgESPIL4vAQXwaq32WsG/WwuI3EeulgbKNGrdNXKXTZxwu99B188w6eLPt87mZdcdzACnMw4dcfGIj1Nm0OGU4HTGwens3Jjjgqtp2pVRcfHXoJCAeLe+c0lS3PshmK4zX/cS8ZnObf2+frEFNdrfxNYL1YGtMG/9pgtTuVBdPpBy4TZT7R4YXmXDZ7noXFguGz7KBaAsG1rlAvAuG5rlwu34aDbSqR0ArZYj1RWop1esLgJlI6gr0yLA7ea/upePVQxI3Pnqo1Xh70qAgAU7HMCzm8bHe3IaV/3nqnAlyIPy3Ctg9/EYEOi6XbUkFxIh4iHFCcTFxeGCW0UK0dk07XRKEF0BiXBKEA6ps4S5n0y7ti3cahQJAgJSZ1+/E/JdWuXVe+6Xr6bqYOhZVkd/udeywVbOaunDVSObUS6CWP7iioJcxle5UHkfUHbTeJYNzXLhWrlb2dAsF11p3cuGZrlw/e9WNrTKhfsiqkGrxv4GJdjlNcoFEMBX1f046Ckb1C0wIAE0S0tQ90Ewi9ovPX/b99ci4ApE3AISSMLrKhtlxdb5y8x1ZYKAK8gQkOIEhGelC8gVrysggeisdIVTguSUFBsQErwus5TgFqR0/Rh1r4AVxyKICivQFpSQ6KpcfY4RAXyPE/FsLjO7pUQzgNDeQNjLhkdwElDZCKZcdL12Lxta5QKAV9nwWS4AZdnwUS5cm5AUQ0y8ywXgEZyYUS6CXN4Qf+UC8P7euy3nM02EOWDsKhsjy1odA5JopFH5BrW8299CUv4v35ZZUkkPXGwaFgCcUlcd4Kr5pM6KFSoVr3Bt8OJr4ZQAp6Rcp1peJVcF3/msG/f07gP5DF9cEs5gJEh6r/IJRT6ikspnr7tseJYL13vuZUOrXLj+di8bvsqFKz0ufq/9lgs5PxrlomudrrIRa+XC1/xIc4jOycjysYoBCRERkUk4hkS/mA5Ivnlstinr+dHzi4Nexqul0dev4GCapd1eC5Vfg+6/AJX3LFBpGhUSJGdnH7Zwy5ek1roi/2qTPJ5G2vXodCF574fbTxzRtd6LrTGufy/+uJSzqfZrMNime5V5un5tGbgs95vHZ+nYYJTS0e2juSr3Q+qvdcjH5/7Xp34V9LY9XfnSQuUMt++5omxolQuPZS4+wdpHuQDksqFVLlybcJUNzXIBjXmeefQx37Ry4cqL2a0a0dhMQrrEdEASdoE0q6ql8Vfe1IIQt/mqXTUq6ZQrEXJtJzlFV23bVX+6aj+tk4Orn92t8oX732p5d6uo1IISz00o1hJsJRdIWtZx4eMZdGil0erWCBf3fhGPsuGzXACKshFQuehcvWa5gPIt7XLhNdOPIOqaiAlT16VeTkhwGMicM1p3LAwYkJjBR2emrzFX7ouotpYESC0IUcxXCUYUY0gUK3PVgxLkpg5xsZKVpIvBifs2FPl3D0w8W0t89Jd7VrCevwgB7wrYY5eDFsiPK59p9Ay4iOI+Ysn9swOUn5/eFaocQH9jEVW/V5Gsp93LBeBVNrTKBaBSNrTKheu1O81yAY+/vBc3ergMlQ29A5HcW3okyF8UK40jcQoo7ryrZ/lYxYDEbP5+7Wn80gv4ihqP9J7bVQ1OXMFIsJxdZw1FE4XyF6B8R0r3DXhVwGoZ9s81mM99g14/joSPyt/PujWF6FdiNFaewTI04NVfC6HK+4bLRah4lg2tcuGZKUUgAt3lAvBuLQG0ywVgwjGMtnIRiu4fiigGJERERCZxGOyyMbKs1TEgCQO/A1g90gbMI62ii0ZO47YRP+t2f9iVq7VUOZ4EXv3aXhnW6rpxZUV4Z0s9M27Lu/+EcmXHdUwVrTcGfyGrLGv1Fo1optpto1E2jJQLozzLhZwf97Lhr1wA3t1fKuVCfq2ZGWVaOXO+ygVgrGxoLBctZSPaLlNnQKIfA5JQ8ag4fFa+gFcF7HO9HrTGkLg2qPm+50o8br518dygktFA8ute4aoto1WjuR27ixWsx3gW9xhFa5BbIHn0Ufa1usXIgEDKhSsdYKhcmEKlXLhvTnhm1Ixy4ZZGQevYqQQlivW7ZzjQPHou4ydrLBtkBgYkZlG9qxUCq3xdaYPkLxBRpHHvxlY7cbtVYsKjjlUk77oU0RevfRQ+3lf5JawIMITnPLfKF9CugL0yHpyAghG142xwu5HkNaA1qIXhHUS6r1gx0Ade5UKxfc/1BikUv9y9irdn2QigXLjW47mOQN73Khdd76sGJW7vqa7XzHKhtj6tcqF3274GtkbhOBKnkOA08CU0sqzVMSAJNY3KF9DX1Oi3QvBVGQSycrWC71GZBZxvXxVukJlTnLRUunDUVhns8dU9mI+C59n1AGNlI6R1uL8TImBeuXBtL/jsaZYLz1WaemxZNrywy0a/OP9JiIiIiEKLLSRm0rxYHqq/igz/qvPRVKqazsevO7Xr/lXzqHMAmeovQF/N14o8aazQ/degyjpM+dWs2WoSZSPpQsHMXQygS1OxaSOfnZk/MDXKBeCjFTEI3t2bHmVDq1x4/u2+Qs9y4bEe01qT/HRjGhZod0yUFUUH4uAw8FvfYWJerIYBidm0zuQaJ01929DYpmsTAYzx8JnGrcNaMzAJkGaFG2h67ax5Zy6Ux1jxno/j7aPPPFq7hoM5h6gOJFb5W31gpUZQIq888HyoCvXx9RgcY6RshLVcAOaVDb3lwnNZneXCCvfyEQbHkIho38EQYkBiAvUraHy0lsgLBrByf9/NYCoBLe4tEXLFpTyjqFWIQY3Z8Eys9QtQjUp/uN9Bk17bD3A7Pt/3XkkM1x0B8ftZuTO7bJhFrVwAmmVDtdhr7U8glwf74hEEeh1rz23oafEM5DgH+aOoO+MYEv0YkJhEMyhxvanGULN0iE6OXiP51X7qas5SWZ9GIGJQQJWvO5OPteqmYrceuUilGyHoz8q1Hl3bD1H7vWe5ADTLRlSVC/cM+fuBpEeg9RDLBgWAAYmJNC/rNdrvobYulW17pw1ivZ79tV6vTci7VzN1EMuqNDn7rHxdCYzwcWbxu2qrVsAGL/n1tdqgA/ag8hDCQESt5cbMsqGW9WDLhr9yAZh3vI2UC0Bf2dDcqejjEHFwCANjSKyxmyHBgISIiMgkTkhwGhjU6oy2UbphxIDEZL5v8qTjMpAAfhXoHVTn9yZDimb24LfhtQ4/8/Xel0X7ZnNBtpYEmAE9rVHdrU/d93GH6ufr95e7Z2J/wvWLWe1qD6Nlw+d4K+VLlgv17HS3MkUMSELGZ2DiYrBCDcmNvNSapN3nG2XGKH+NuC4ix9qVJ1+v/aW3An/dMp7va1zVEdBnFVACbSE5UWmVC/f3zFi/Xj7KBRBgcKJTUPVQdywbHjioVT8GJGbQqHyBICrgIJnZ7a66Ll8VsB5+9t+M4xOKbuag71KpdtGEVesXP0GI92BVlfRGA5MghfxYm9FqqLU+FWYdn7CWjQDnd9dxWMbHkLDLhszgowIP6hLZAJb3mYcg+by2X+sEE4gA9lFXJRmtx9miFaiptD4bH904XklD9ZmZTW9wEuD+BV02Aggg9a7bcP3DskEBYEBCRERkks5BrfojMCPLWh0DErNpDQr1EJJfdQbWGfAdEE1sTTTUhBzApaaAycc52O4bte1bua7RGKfgfTmvdzp5PjTe81hntIhEuXBtV9+CCH+5cG03iPlmlItovWur0+Ct43mVDYVGgBWwqdsysoowjV43rS87wMrXlO0E+X40VpShohmUAIYCk2gRzqs6TCkb4SoXrm0F+V4slQ0KDp/2awYJ/gumvzSh2raeVYrQXFEZkvWG+rgG8rl6CMnVT9FCzz77ey9Un6HJXN9fs7/DIVlvqI5rIJ+Zj/di4S6urkGtRiY9li9fjry8PCQnJ6OwsBCffvqpZtoHH3wQkiR5Tddee62cZtWqVappzp8/ryt/gWBAYqZACpZngdZTGMNUiZtRUYaqEvfeEIwdk2A/k2B//Vm10g1if4K+IkktjVnlIsrLRtjKBRDeY+ojTVDBSIB5jcabtzoRZ3gK1rp161BeXo65c+di7969uOWWW1BaWor6+nrV9C+++CIaGxvlqaGhAWlpabj//vsV6VJTUxXpGhsbkZycrOu4BIJdNkRERCZxCAkOA/1SepZdtGgRpkyZgoceeggAsGTJEnz00UdYsWIFqqqqvNLb7XbY7Xb59XvvvYeTJ0/i5z//uSKdJEnIzMwMOj96sYXEbHp+jai1mviaIsD9F10wU2Qyq2MKdr0q2DceQCtJNysXgIXKBRC6Y+onPctG8FpbWxVTW1ubarr29nbU1dWhpKREMb+kpAS1tbUBbWvlypUYNWoUcnNzFfPPnDmD3NxcXH755Rg3bhz27t2rb2cCxIAklKKgsiSDAvgMhWRCd0U0C7JZ3XU8/I4rsfpxiXUBBOh+vwfBzNdKHukgz4Oj6yobIxMA5OTkyC0ZdrtdtaUDAI4fPw6Hw4GMjAzF/IyMDDQ1NfnNb2NjI/70pz/JrSsuAwcOxKpVq/DBBx/g7bffRnJyMm6++WYcPnxY55Hxj102JgjoLojuhSyKCg+pCKJC7K53mwyYhODu5qq2vGIBE/JEocFyERCniIPTwJ1anV13am1oaEBqaqo832az+VxOkpQHVQjhNU/NqlWrcOmll+Kee+5RzC8qKkJRUZH8+uabb8YNN9yApUuX4qWXXvK7Xj0YkJgkqFthR6IStmIF4OdkZ/q2gmCoRaS7fRau/fFz99ygywaDE3V+jndIthUgw4GIFctGiKSmpioCEi3p6emIj4/3ag1pbm72ajXxJITAH/7wB5SVlSEpKcln2ri4ONx4440hbSFhl43J/DZTqgl1f7iVC3kojoXO4x3QZ2v1CtdX1GBw36KuXFidmcfD4BiSgD5bI+OLoqlPxg+zumwClZSUhMLCQtTU1Cjm19TUYNiwYT6X3bZtG/72t79hypQpfrcjhMC+ffuQlZUVVP6CwRYSIiIikzih70oZ9+WDNWvWLJSVlWHIkCEoLi7Ga6+9hvr6ekybNg0AUFFRgWPHjmH16tWK5VauXImhQ4ciPz/fa53z589HUVER+vfvj9bWVrz00kvYt28fXn75ZT27FRAGJCFk5GFW/DXoJoLHIuhf9EbetwJ/3QUBdLOxXJioO5QNfqaGTZw4ESdOnMAzzzyDxsZG5OfnY+PGjfJVM42NjV73JGlpacH69evx4osvqq7z1KlTePjhh9HU1AS73Y7Bgwdj+/btuOmmm0K2HwxIwiRUj1un0DA1EAk0jZUEMqYEPtK43jYSnFDYsVz4p/fmZu7L6zF9+nRMnz5d9b1Vq1Z5zbPb7fjhhx8017d48WIsXrxYV170YkBihiAGmbECjl5Bt7IGmt5qlW6gTy0LZNAxy4blRbxcWOzLYOT2767lYxUDEjMFeYWAZ0G3WLmzPN3dvGb/SrSyQK+ECvLKEAYnkaWrbLBckEEMSIgs7MqXFkY6C1HrqkWLIp0FikFOSHAaiLiMLGt1DEhM8E35rEhnIWpF20nh61n8rAISaLcNEFzrh457aKhlg60m5jF8W3eDLSPfPN69yiS7bPQLas+rqqpw4403IiUlBX379sU999yDQ4cOKdKoPdbY/W5vANDW1oaZM2ciPT0dvXr1wl133YWjR48a3xsiD+73DuHzNEJM7z1GdOBnaoyh46f33jAx8lmF+z4k3UlQe75t2zY8+uij2LVrF2pqanDhwgWUlJTg7NmzinRjx45VPK5448aNivfLy8uxYcMGVFdXY8eOHThz5gzGjRsHh8NhfI8oZnkGHzxZGaSnGUJPkGFicMLPXJ0pxygCny3FlqC6bDZt2qR4/frrr6Nv376oq6vDrbfeKs+32WyajyxuaWnBypUr8eabb2LUqFEAgDVr1iAnJwdbtmzBmDFjgt0HimE8AYVYMF03iuXc/g4mrtG7nPtiHCxuXrkIx8DvbsYpJDiN3Bgthis1Q21DLS0tAIC0tDTF/K1bt6Jv3764+uqrMXXqVDQ3N8vv1dXVoaOjQ/Go5OzsbOTn52s+Krmtrc3rUcxERETRxmmwu8bIPUysTveeCyEwa9Ys/OQnP1Hcdra0tBRr167Fxx9/jIULF2L37t24/fbb0dbWBgBoampCUlISevfurVifr0clV1VVKR7DnJOTozfb1A2weT7MjDYx6G22N6m5P1a+L6btZ4Q/L4pduq+ymTFjBr788kvs2LFDMX/ixIny3/n5+RgyZAhyc3Px4YcfYvz48Zrr8/Wo5IqKCsxyuzqitbWVQUmM6e4nk6int+vGaz1d/xu9ZbzB7pzu1I0T1qtkQrF8N+MUcXAauFLGyLJWpysgmTlzJj744ANs374dl19+uc+0WVlZyM3NlR9ZnJmZifb2dpw8eVLRStLc3Kz5ZEKbzQabzaYnq2RhEe8HJyX3s7jRD8foWBG9gY1rMQvfeC3i5YLlyScHJDgMHCQjy1pdUKGYEAIzZszAu+++i48//hh5eXl+lzlx4gQaGhrkRxYXFhYiMTFR8ajkxsZGHDhwwO+jkqn7M6XZWe9liRQ4SZh3JjfyWZnwOVvhKp2Id8e4L2sWM79D1C0E1ULy6KOP4q233sL777+PlJQUecyH3W5Hjx49cObMGVRWVuK+++5DVlYWvv32Wzz55JNIT0/HvffeK6edMmUKZs+ejT59+iAtLQ1z5sxBQUGBfNUNxQ5TTwBRejLp1sxsNQGMtZwYbDWRNxslrSdRUTbMLlMxEICwy0a/oAKSFStWAACGDx+umP/666/jwQcfRHx8PPbv34/Vq1fj1KlTyMrKwogRI7Bu3TqkpKTI6RcvXoyEhARMmDAB586dw8iRI7Fq1SrEx8cb3yMiIqIIccBYt0ss340rqIBECN/RbY8ePfDRRx/5XU9ycjKWLl2KpUuXBrN56iai4pcfmS9UrSURGgALhL+1JOLjQ8xaXl5P928RIfPwWTYUUs5EVkihFK1jHrrjiaj77RGFArts9GNAQkREZBI+XE8/BiREREQmEZDgNNDnJWK4Hzp2QzEiIiKKGmwhISIiMgm7bPRjQBJF8pYujHQWur1oOsZHZs6OdBaIyGR82q9+DEiIiGIMg2GKRgxIiIiITOJAHBwGhmcaWdbqGJAQERGZhF02+sVuKEZERERRgy0kREREJnEiDk4Dv/WNLGt1DEiIiIhM4hASHAa6XYwsa3WxG4oRERFR1GALSTSJ3cCY9OJ3hiiqcFCrfgxIiIiITCIMPu1X8E6tREREZJQDEhwGmi6NLGt1sRuKERERUdRgCwkREZFJnMLYOBCnMDEzFsOAJIrE8Fgm0onfGaLo4jQ4hsTIslYXu3tOREREUYMBCRERkUmckAxPeixfvhx5eXlITk5GYWEhPv30U820W7duhSRJXtP/+3//T5Fu/fr1uOaaa2Cz2XDNNddgw4YNuvIWKHbZRBMphjsPSR9+Z4iiSiTu1Lpu3TqUl5dj+fLluPnmm/Hqq6+itLQUf/nLX3DFFVdoLnfo0CGkpqbKry+77DL57507d2LixIn493//d9x7773YsGEDJkyYgB07dmDo0KFB5zEQbCEhIiKysEWLFmHKlCl46KGHMGjQICxZsgQ5OTlYsWKFz+X69u2LzMxMeYqPj5ffW7JkCUaPHo2KigoMHDgQFRUVGDlyJJYsWRKy/WBAEk0kTjE1mSHS+8DJmhOFjGtQq5EJAFpbWxVTW1ub6vba29tRV1eHkpISxfySkhLU1tb6zOvgwYORlZWFkSNH4pNPPlG8t3PnTq91jhkzxu86jWBAQkREZBInJPn28bqmrogxJycHdrtdnqqqqlS3d/z4cTgcDmRkZCjmZ2RkoKmpSXWZrKwsvPbaa1i/fj3effddDBgwACNHjsT27dvlNE1NTUGt0wwcQxJN+MuFgvTtL+cYXke/V14wISdEZKaGhgbF+A6bzeYzvSQpTyBCCK95LgMGDMCAAQPk18XFxWhoaMALL7yAW2+9Vdc6zcAWEiIiIpMIGLvCRnT9Mk1NTVVMWgFJeno64uPjvVoumpubvVo4fCkqKsLhw4fl15mZmYbXGSwGJNEk0v3KnGKzHz/Sx4FT7H73uiFD3TU6nhSclJSEwsJC1NTUKObX1NRg2LBhAa9n7969yMrKkl8XFxd7rXPz5s1BrTNY7LKJJryEkyKB3zsi00TiTq2zZs1CWVkZhgwZguLiYrz22muor6/HtGnTAAAVFRU4duwYVq9eDaDzCpp+/frh2muvRXt7O9asWYP169dj/fr18joff/xx3HrrrXjuuedw99134/3338eWLVuwY8cO3fvmDwMSIiIiC5s4cSJOnDiBZ555Bo2NjcjPz8fGjRuRm5sLAGhsbER9fb2cvr29HXPmzMGxY8fQo0cPXHvttfjwww9xxx13yGmGDRuG6upqPPXUU3j66adx1VVXYd26dSG7BwkASEIIy/08am1thd1uR0tLi2LQj9X1+/1/RDoLFEbfTv1fkc4CAH7vYlG0fPfCJRznDNc27t78CyT2StK9no6z7Xi/5A/d7vwWCLaQRBE+KI0igd87IvMYuf27a/lYxYAkmrAvnyKB3zsiigIMSKJJ7AbGFEn83hGZRs+VMp7LxyoGJFEkhPebIdLE7x2ReRiQ6Mf7kBAREVHEsYUkmrAvnyKB3zsi07CFRD8GJNEkdr+HFEn83hGZhgGJfgxIoknsfg8pkvi9I6IowIAkqrDpnCKB3zsiswgYu5dILJdGBiREREQmYZeNfgxIoogUF8uxMUUKv3dE5mFAoh8DEhNc+dYCc1bEG0LEFNO+N0bxexdzoua7B+CbSU9GOgsUJRiQRBGJl19SBPB7R2QetpDox4DEBBJvL0dERGBAYgRPpURERBRxbCExA5u8iYgIgBAShIFWDiPLWh0DEhOwD56IiIDOe5AYuQ+JkWWtjgGJCXiRAhERkTEMSEzAFhIiIgI4qNUIBiQm4I2liIgI4BgSI4K6yqaqqgo33ngjUlJS0LdvX9xzzz04dOiQIo0QApWVlcjOzkaPHj0wfPhwHDx4UJGmra0NM2fORHp6Onr16oW77roLR48eNb43REREZElBBSTbtm3Do48+il27dqGmpgYXLlxASUkJzp49K6d5/vnnsWjRIixbtgy7d+9GZmYmRo8ejdOnT8tpysvLsWHDBlRXV2PHjh04c+YMxo0bB4fDYd6ehZHEiRMnTpx0Td2Nq8vGyBSrguqy2bRpk+L166+/jr59+6Kurg633norhBBYsmQJ5s6di/HjxwMA3njjDWRkZOCtt97CI488gpaWFqxcuRJvvvkmRo0aBQBYs2YNcnJysGXLFowZM8akXSMiIgovdtnoZ2gMSUtLCwAgLS0NAHDkyBE0NTWhpKRETmOz2XDbbbehtrYWjzzyCOrq6tDR0aFIk52djfz8fNTW1qoGJG1tbWhra5Nft7a2Gsm26TiolYiIgM6AwkgrBwMSHYQQmDVrFn7yk58gPz8fANDU1AQAyMjIUKTNyMjAd999J6dJSkpC7969vdK4lvdUVVWF+fPn681qyDEgISIiMkb3reNnzJiBL7/8Em+//bbXe5LHjTmEEF7zPPlKU1FRgZaWFnlqaGjQm20iIqKQEQCEMDBFegciSFcLycyZM/HBBx9g+/btuPzyy+X5mZmZADpbQbKysuT5zc3NcqtJZmYm2tvbcfLkSUUrSXNzM4YNG6a6PZvNBpvNpierYcEboxEREdB5p1XJwHDdWL5Ta1AtJEIIzJgxA++++y4+/vhj5OXlKd7Py8tDZmYmampq5Hnt7e3Ytm2bHGwUFhYiMTFRkaaxsREHDhzQDEiIiIioewuqheTRRx/FW2+9hffffx8pKSnymA+73Y4ePXpAkiSUl5djwYIF6N+/P/r3748FCxagZ8+emDRpkpx2ypQpmD17Nvr06YO0tDTMmTMHBQUF8lU3REREVsSrbPQLKiBZsWIFAGD48OGK+a+//joefPBBAMATTzyBc+fOYfr06Th58iSGDh2KzZs3IyUlRU6/ePFiJCQkYMKECTh37hxGjhyJVatWIT4+3tjeEBERRZBTSJB463hdJCGE5cbQtLa2wm63Y8Bbv0F8z+gdW0JERJHn+KENhyY9i5aWFqSmpoZkG67zUv7/978MnZccP7ThwIT/CGleoxWfZUNEFAYH766MdBYAANe+XxnpLHRrrqtljCwfqywdkBj94ImIYk0s1pnh3GeOIdGvGwQksfvhEREFKxbrzFgMwqzI0gGJ0cFDRESxJhYHTYZzn9lCop/uO7VGA9cHz4kTJ07RPkWLSB+H7n78I/W03+XLlyMvLw/JyckoLCzEp59+qpn23XffxejRo3HZZZchNTUVxcXF+OijjxRpVq1aBUmSvKbz58/ryl8gLB2QEBERRRNDt43XOS5y3bp1KC8vx9y5c7F3717ccsstKC0tRX19vWr67du3Y/To0di4cSPq6uowYsQI3Hnnndi7d68iXWpqKhobGxVTcnKynsMSEEt32cApQTij55cHEVG0i8k6s5vv86JFizBlyhQ89NBDAIAlS5bgo48+wooVK1BVVeWVfsmSJYrXCxYswPvvv48//vGPGDx4sDxfkiT5kTDhYOmAxOmUuv0XjYjITM4YrDPDuc9GL7ZwtZC0trYq5ms90629vR11dXX4zW9+o5hfUlKC2tragLbpdDpx+vRppKWlKeafOXMGubm5cDgc+PGPf4x///d/VwQsZrN0QCIcEoQj9goXEZFesVhnhnOfjY5ZcS2bk5OjmD9v3jxUVlZ6pT9+/DgcDof8AFuXjIwM+fEu/ixcuBBnz57FhAkT5HkDBw7EqlWrUFBQgNbWVrz44ou4+eab8cUXX6B///5B7lVgrB2QCHbZEBEFIxbrzGgaVByohoYGxZ1a/T3xXvJ47LwQwmuemrfffhuVlZV4//330bdvX3l+UVERioqK5Nc333wzbrjhBixduhQvvfRSoLsRFEsHJERERNFEdE1Glgc6B5QGcuv49PR0xMfHe7WGNDc3e7WaeFq3bh2mTJmCd955x+/DbePi4nDjjTfi8OHDfvOkl6UDEsFBrUREQYnFOjOc+2xWl02gkpKSUFhYiJqaGtx7773y/JqaGtx9992ay7399tv4xS9+gbfffhv/43/8jwDyJbBv3z4UFBQElb9gWDoggZA6JyIiCkws1pndfJ9nzZqFsrIyDBkyBMXFxXjttddQX1+PadOmAQAqKipw7NgxrF69GkBnMPJv//ZvePHFF1FUVCS3rvTo0QN2ux0AMH/+fBQVFaF///5obW3FSy+9hH379uHll18O2X5YOyDhVTZERMGJxToznPtsVp9NECZOnIgTJ07gmWeeQWNjI/Lz87Fx40bk5uYCABobGxX3JHn11Vdx4cIFPProo3j00Ufl+ZMnT8aqVasAAKdOncLDDz+MpqYm2O12DB48GNu3b8dNN91kYOd8s3RAIpydExERBSYW68yw7rPRO8PqXHb69OmYPn266nuuIMNl69atfte3ePFiLF68WFde9LJ0QEJERBRNjD6FPpYfBGjpgERySpBisfmRiEinWKwzY3GfrcjSAQnHkBARBSkW68xufJVNd2LtgMTo4CEiohjz7SNzTFlPv1deMGU9YRHO84TRqz8ZkFgUAxIiosiwUt1rpbzGMAYkREQUPCvVvWHMKwe16mftgISIiCiaROA+JN2FtQMS3qmViCgyrFT3WimvMczSAYkkOiciIgovK9W94cwrr7LRz9IBCRERUdSxULAWTawdkHBQKxFRZFip7rVSXmOYtQMSIiKiKMIuG/0YkBAREZmFV9noxoCEiIjINFLXZGT52BQX6QwQERERsYWEiIjILOyy0Y0BCRERkVkYkOjGLhsiIiKKOLaQEBERmcXoI0142S8REREZxaf96seAhIgoDPKWLox0FmRHZs6OdBaIvDAgISIiMgsHterGgISIiMgsHEOiG6+yISIioohjCwkREZFJJNE5GVk+VjEgISIiMgvHkOjGgISIiMgsHEOiG8eQEBERUcSxhYSIiMgs7LLRjQEJERGRWRiQ6MYuGyIiIoo4tpAQERGZhS0kujEgISIiMguvstGNXTZEREQUcWwhISIiMgnv1Kpf0C0k27dvx5133ons7GxIkoT33ntP8f6DDz4ISZIUU1FRkSJNW1sbZs6cifT0dPTq1Qt33XUXjh49amhHiIiIIk6YMOmwfPly5OXlITk5GYWFhfj00099pt+2bRsKCwuRnJyMK6+8Eq+88opXmvXr1+Oaa66BzWbDNddcgw0bNujLXICCDkjOnj2L66+/HsuWLdNMM3bsWDQ2NsrTxo0bFe+Xl5djw4YNqK6uxo4dO3DmzBmMGzcODocj+D0gIiKKYevWrUN5eTnmzp2LvXv34pZbbkFpaSnq6+tV0x85cgR33HEHbrnlFuzduxdPPvkkHnvsMaxfv15Os3PnTkycOBFlZWX44osvUFZWhgkTJuCzzz4L2X4E3WVTWlqK0tJSn2lsNhsyMzNV32tpacHKlSvx5ptvYtSoUQCANWvWICcnB1u2bMGYMWOCzRIREVHMWrRoEaZMmYKHHnoIALBkyRJ89NFHWLFiBaqqqrzSv/LKK7jiiiuwZMkSAMCgQYOwZ88evPDCC7jvvvvkdYwePRoVFRUAgIqKCmzbtg1LlizB22+/HZL9CMmg1q1bt6Jv3764+uqrMXXqVDQ3N8vv1dXVoaOjAyUlJfK87Oxs5Ofno7a2VnV9bW1taG1tVUxERETRRsLFcSS6pq71eJ7z2traVLfX3t6Ouro6xTkVAEpKSjTPqTt37vRKP2bMGOzZswcdHR0+02it0wymBySlpaVYu3YtPv74YyxcuBC7d+/G7bffLh/MpqYmJCUloXfv3orlMjIy0NTUpLrOqqoq2O12ecrJyTE720RERMa5Lvs1MgHIyclRnPfUWjoA4Pjx43A4HMjIyFDM93VObWpqUk1/4cIFHD9+3GcarXWawfSrbCZOnCj/nZ+fjyFDhiA3Nxcffvghxo8fr7mcEAKSpH79dUVFBWbNmiW/bm1tZVBCFIWOzJxteB15SxeakBMia2toaEBqaqr82maz+Uzvef70dU7VSu85P9h1GhXyy36zsrKQm5uLw4cPAwAyMzPR3t6OkydPKlpJmpubMWzYMNV12Gw2vx8GERFRxJl0p9bU1FRFQKIlPT0d8fHxXi0Xzc3NXi0cLpmZmarpExIS0KdPH59ptNZphpDfGO3EiRNoaGhAVlYWAKCwsBCJiYmoqamR0zQ2NuLAgQOaAQkREZElhPmy36SkJBQWFirOqQBQU1OjeU4tLi72Sr9582YMGTIEiYmJPtOE8jwddAvJmTNn8Le//U1+feTIEezbtw9paWlIS0tDZWUl7rvvPmRlZeHbb7/Fk08+ifT0dNx7770AALvdjilTpmD27Nno06cP0tLSMGfOHBQUFMhX3RAREVFgZs2ahbKyMgwZMgTFxcV47bXXUF9fj2nTpgHoHPZw7NgxrF69GgAwbdo0LFu2DLNmzcLUqVOxc+dOrFy5UnH1zOOPP45bb70Vzz33HO6++268//772LJlC3bs2BGy/Qg6INmzZw9GjBghv3aN7Zg8eTJWrFiB/fv3Y/Xq1Th16hSysrIwYsQIrFu3DikpKfIyixcvRkJCAiZMmIBz585h5MiRWLVqFeLj403YJSIiosiIxJ1aJ06ciBMnTuCZZ55BY2Mj8vPzsXHjRuTm5gLo7IVwvydJXl4eNm7ciF/96ld4+eWXkZ2djZdeekm+5BcAhg0bhurqajz11FN4+umncdVVV2HdunUYOnSo/p3zQxKukSwW0traCrvdjiue+y3ieiRHOjtE1IWDWq0h1j4n57nzqP/1U2hpaQloXIYervNSv9/+DnHJ+s9LzvPn8e1Tc0Oa12jFh+sRERFRxPHhekRERGYx6SqbWMSAhIiIyCR82q9+7LIhIiKiiGMLCRERkVncbv+ue/kYxYCEiIjILBxDohsDEiIiIpNwDIl+HENCREREEccWEiIiIrOwy0Y3BiRERERmMdhlE8sBCbtsiIiIKOLYQkJEFGOs9Bway2GXjW4MSIiIiMzCgEQ3dtkQERFRxLGFhIiIyCS8D4l+bCEhIiKiiGNAQkRERBHHLhsiIiKzcFCrbgxIiIiITMIxJPoxICEiIjJTDAcVRnAMCREREUUcW0iIiIjMwjEkujEgISIiMgnHkOjHLhsiIiKKOLaQEBERmYVdNroxICEiIjIJu2z0Y5cNERERRRxbSIiIiMzCLhvdGJAQERGZhQGJbuyyISIioohjCwkREZFJOKhVPwYkRBRVjsycbXgdeUsXmpATIh3YZaMbAxIiIiKzMCDRjWNIiIiIKOLYQkJERGQSjiHRjwEJERGRWdhloxu7bIiIiGLEyZMnUVZWBrvdDrvdjrKyMpw6dUozfUdHB37961+joKAAvXr1QnZ2Nv7t3/4Nf//73xXphg8fDkmSFNMDDzwQVN4YkBAREZnE1WVjZAqlSZMmYd++fdi0aRM2bdqEffv2oaysTDP9Dz/8gM8//xxPP/00Pv/8c7z77rv461//irvuussr7dSpU9HY2ChPr776alB5Y5cNERGRWaK4y+arr77Cpk2bsGvXLgwdOhQA8Pvf/x7FxcU4dOgQBgwY4LWM3W5HTU2NYt7SpUtx0003ob6+HldccYU8v2fPnsjMzNSdP7aQEBERRZnW1lbF1NbWZnidO3fuhN1ul4MRACgqKoLdbkdtbW3A62lpaYEkSbj00ksV89euXYv09HRce+21mDNnDk6fPh1U/thCQkREZBaTWkhycnIUs+fNm4fKykoDKwaamprQt29fr/l9+/ZFU1NTQOs4f/48fvOb32DSpElITU2V5//sZz9DXl4eMjMzceDAAVRUVOCLL77wal3xhQEJERGRSaSuycjyANDQ0KA44dtsNs1lKisrMX/+fJ/r3b17d+f6Je/cCSFU53vq6OjAAw88AKfTieXLlyvemzp1qvx3fn4++vfvjyFDhuDzzz/HDTfc4HfdAAMSIiKiqJOamqoISHyZMWOG3yta+vXrhy+//BLff/+913v/+Mc/kJGR4XP5jo4OTJgwAUeOHMHHH3/sN2833HADEhMTcfjwYQYkREREYReBQa3p6elIT0/3m664uBgtLS3485//jJtuugkA8Nlnn6GlpQXDhg3TXM4VjBw+fBiffPIJ+vTp43dbBw8eREdHB7KysgLeDw5qJSIiMkk0X/Y7aNAgjB07FlOnTsWuXbuwa9cuTJ06FePGjVNcYTNw4EBs2LABAHDhwgX867/+K/bs2YO1a9fC4XCgqakJTU1NaG9vBwB8/fXXeOaZZ7Bnzx58++232LhxI+6//34MHjwYN998c8D5Y0BCRERkFmHCFEJr165FQUEBSkpKUFJSguuuuw5vvvmmIs2hQ4fQ0tICADh69Cg++OADHD16FD/+8Y+RlZUlT64rc5KSkvBf//VfGDNmDAYMGIDHHnsMJSUl2LJlC+Lj4wPOG7tsiIiIYkRaWhrWrFnjM40QF6Oifv36KV6rycnJwbZt2wznjQEJERGRmWL4eTRGMCAhItPkLV1oynqOzJxtynqIwo1P+9WPY0iIiIgo4thCQkREZJYofpZNtAu6hWT79u248847kZ2dDUmS8N577yneF0KgsrIS2dnZ6NGjB4YPH46DBw8q0rS1tWHmzJlIT09Hr169cNddd+Ho0aOGdoSIiCjSovmy32gXdEBy9uxZXH/99Vi2bJnq+88//zwWLVqEZcuWYffu3cjMzMTo0aMVD9kpLy/Hhg0bUF1djR07duDMmTMYN24cHA6H/j0hIiIiywq6y6a0tBSlpaWq7wkhsGTJEsydOxfjx48HALzxxhvIyMjAW2+9hUceeQQtLS1YuXIl3nzzTYwaNQoAsGbNGuTk5GDLli0YM2aMgd0hIiKKIHbZ6GbqoNYjR46gqakJJSUl8jybzYbbbrtNvoFKXV0dOjo6FGmys7ORn5+v+fjjtrY2r0cxExERRRt22ehnakDienyx50N6MjIy5PeampqQlJSE3r17a6bxVFVVBbvdLk+ej2UmIiIiawvJVTaejzEO5NHGvtJUVFRg1qxZ8uvW1tbOoMToc56JqHtivUDuwvl9YJeNbqa2kGRmZgKAV0tHc3Oz3GqSmZmJ9vZ2nDx5UjONJ5vNJj+KOZhHMhMREYVVlD/LJpqZ2kKSl5eHzMxM1NTUYPDgwQCA9vZ2bNu2Dc899xwAoLCwEImJiaipqcGECRMAAI2NjThw4ACef/75oLYnpM6JiMgd6wVyF87vA+/Uql/QAcmZM2fwt7/9TX595MgR7Nu3D2lpabjiiitQXl6OBQsWoH///ujfvz8WLFiAnj17YtKkSQAAu92OKVOmYPbs2ejTpw/S0tIwZ84cFBQUyFfdBCzWRwARkTrWC+SO3wdLCDog2bNnD0aMGCG/do3tmDx5MlatWoUnnngC586dw/Tp03Hy5EkMHToUmzdvRkpKirzM4sWLkZCQgAkTJuDcuXMYOXIkVq1aFdRjiomIiKIOx5DoFnRAMnz4cJ+PIpYkCZWVlaisrNRMk5ycjKVLl2Lp0qXBbt5jY+DgNSLyxnqB3IW1y0ZA8nGODGT5WGXtZ9kwICEiNawXyB2/D5bAgISIuh/WC+SOl/1agrUDkjjRORERuWO9QO7C+H3gVTb6WTogEXECghUPEXlgvUDu+H2wBksHJERERFGFXTa6WTogkeI6JyLqXvq98Zyh5aU4DiKhi8J5nmCXjX6WDki64xiSbyf/2tDyRityom6hm9ULZBC/D5Zg7YCEd2r1xuNBRKQUznqRXTa6WTogkeIEJEa+CjweRERK4awX2WWjn6UDEiIioqjCFhLdLB2QSBJbSDzxeBARKUmx3OxgIdYOSOIFpHh+0dzxeBARKYW7XmT8o4+lA5K4OIE4tggo8HgQEXkIZ70oROdkZPkYZemABBzU6oXHg4jIA+tFS7B2QEJERBRFeJWNfpYOSCRJcLCSBx4PIiKlsNaLvMpGN0sHJHGSQBxPwAo8HkRESoL1oiVYOiCRJLYIeOLxICJSksL4aCPJ2TkZWT5WdYOAJNK5iC48HkRESmGtF9lloxuflUtEREQRx4CEiIjIJK6rbIxMoXTy5EmUlZXBbrfDbrejrKwMp06d8rnMgw8+CEmSFFNRUZEiTVtbG2bOnIn09HT06tULd911F44ePRpU3hiQEBERmcV1YzQjUwhNmjQJ+/btw6ZNm7Bp0ybs27cPZWVlfpcbO3YsGhsb5Wnjxo2K98vLy7FhwwZUV1djx44dOHPmDMaNGweHwxFw3iw9hoSIiCiaRPN9SL766its2rQJu3btwtChQwEAv//971FcXIxDhw5hwIABmsvabDZkZmaqvtfS0oKVK1fizTffxKhRowAAa9asQU5ODrZs2YIxY8YElD8GJFHmmvcqDS3PQa1ERNbX2tqqeG2z2WCz2Qytc+fOnbDb7XIwAgBFRUWw2+2ora31GZBs3boVffv2xaWXXorbbrsNv/vd79C3b18AQF1dHTo6OlBSUiKnz87ORn5+Pmpra2MjIAlD65bl8HgQESmFtV406SqbnJwcxex58+ahsrLSwIqBpqYmOYhw17dvXzQ1NWkuV1paivvvvx+5ubk4cuQInn76adx+++2oq6uDzWZDU1MTkpKS0Lt3b8VyGRkZPtfrydIBCRERUTQxq8umoaEBqamp8nxfrSOVlZWYP3++z/Xu3r27c/0qzehCCNX5LhMnTpT/zs/Px5AhQ5Cbm4sPP/wQ48eP11zO33o9MSAhIiKKMqmpqYqAxJcZM2bggQce8JmmX79++PLLL/H99997vfePf/wDGRkZAectKysLubm5OHz4MAAgMzMT7e3tOHnypKKVpLm5GcOGDQt4vZYOSDq7bDhogoiItIW3y8bgWAIdy6anpyM9Pd1vuuLiYrS0tODPf/4zbrrpJgDAZ599hpaWlqAChxMnTqChoQFZWVkAgMLCQiQmJqKmpgYTJkwAADQ2NuLAgQN4/vnnA16vxQMSiQEJERH5FM7zRDRfZTNo0CCMHTsWU6dOxauvvgoAePjhhzFu3DjFgNaBAweiqqoK9957L86cOYPKykrcd999yMrKwrfffosnn3wS6enpuPfeewEAdrsdU6ZMwezZs9GnTx+kpaVhzpw5KCgokK+6CYSlAxIiIiIK3Nq1a/HYY4/JV8TcddddWLZsmSLNoUOH0NLSAgCIj4/H/v37sXr1apw6dQpZWVkYMWIE1q1bh5SUFHmZxYsXIyEhARMmTMC5c+cwcuRIrFq1CvHx8QHnjQEJERGRWaL8WTZpaWlYs2aN7yy4dRv16NEDH330kd/1JicnY+nSpVi6dKnuvFk6IDH6uRMRUfcXzvNENHfZRDtrByQcQ0JERH7wPGENlg5I2ERCRER+hfM84RSdk5HlY5TFAxK2kBARkR/hPE9E+RiSaGbpgIS3jiciIn/CeZ6QYHAMiWk5sZ64SGeAiIiIyOItJOyyISIi38J6nojAnVq7C0sHJBBSePsGiYjIeninVkuwdEDCMSREROQPzxPWYOmAhJf9EhGRX2F9uJ7B7cXwOc3aAQkREVEUkYSAZKBJxsiyVmfpgISDWomIyB+eJ6zB0gEJgJhu3iIioijj7JqMLB+jLB2QsIWEiIj8Ced5gl02+lk6IOGgViIi8ovnCUuwdkBCREQUTXiVjW4WD0gkxPad/4mIyD/eqdUKrB2QsMuGiIj8CefD9XinVt0YkBARUffG84QlWDwg4bNsiIjIDz5czxLizF5hZWUlJElSTJmZmfL7QghUVlYiOzsbPXr0wPDhw3Hw4EFd23J97pw4ceLEiZOvKVwkp/EpVpkekADAtddei8bGRnnav3+//N7zzz+PRYsWYdmyZdi9ezcyMzMxevRonD59OhRZISIiIgsISZdNQkKColXERQiBJUuWYO7cuRg/fjwA4I033kBGRgbeeustPPLII8FtSHRNREREWsJ5njDaJBPO5pwoE5KA5PDhw8jOzobNZsPQoUOxYMECXHnllThy5AiamppQUlIip7XZbLjttttQW1urGZC0tbWhra1Nft3a2tr5B8eQEBGRP2EdQwJjAVDsxiPmd9kMHToUq1evxkcffYTf//73aGpqwrBhw3DixAk0NTUBADIyMhTLZGRkyO+pqaqqgt1ul6ecnByzs01EREQRZHoLSWlpqfx3QUEBiouLcdVVV+GNN95AUVERAECSlNGqEMJrnruKigrMmjVLft3a2oqcnBzD13sTEVH3F87zBJ9lo19IBrW669WrFwoKCnD48GF5XIlna0hzc7NXq4k7m82G1NRUxURERBR1rHRJUJQJeUDS1taGr776CllZWcjLy0NmZiZqamrk99vb27Ft2zYMGzYs+JULTpw4ceLEKYCJop7pXTZz5szBnXfeiSuuuALNzc347W9/i9bWVkyePBmSJKG8vBwLFixA//790b9/fyxYsAA9e/bEpEmTgt8YB7USEZE/4R7UauReIjEcPJkekBw9ehQ//elPcfz4cVx22WUoKirCrl27kJubCwB44okncO7cOUyfPh0nT57E0KFDsXnzZqSkpJidFSIiorDiGBL9TA9Iqqurfb4vSRIqKytRWVlpfGNsiiMiIn/CeZ4QgLH7kJiWE8sJ+RgSIiIiIn8s/nA9xHQ0SUREAQhrC4kw2EISuyc1awckRERE0cQJwMgY2hh+uJ61AxK2kBARkT88T1gCx5AQERGZxHWVjZEplE6ePImysjL5USxlZWU4deqU732SJNXpP/7jP+Q0w4cP93r/gQceCCpvFm8h4X1IiIjIj7DehyS6x5BMmjQJR48exaZNmwAADz/8MMrKyvDHP/5Rc5nGxkbF6z/96U+YMmUK7rvvPsX8qVOn4plnnpFf9+jRI6i8WTsgISIiooB89dVX2LRpE3bt2oWhQ4cCAH7/+9+juLgYhw4dwoABA1SXcz32xeX999/HiBEjcOWVVyrm9+zZ0yttMNhlQ0REZBaTnmXT2tqqmNra2gxnbefOnbDb7XIwAgBFRUWw2+2ora0NaB3ff/89PvzwQ0yZMsXrvbVr1yI9PR3XXnst5syZg9OnTweVP0u3kPBpv0RE5E9YzxMmddnk5OQoZs+bN8/wDUWbmprQt29fr/l9+/b1euitljfeeAMpKSkYP368Yv7PfvYz+Xl1Bw4cQEVFBb744gvFs+v8sXRAQkRE1B01NDQonmxvs9k001ZWVmL+/Pk+17d7924AnQNUPQkhVOer+cMf/oCf/exnSE5OVsyfOnWq/Hd+fj769++PIUOG4PPPP8cNN9wQ0LoZkBAREZnFpPuQpKamKgISX2bMmOH3ipZ+/frhyy+/xPfff+/13j/+8Q9kZGT43c6nn36KQ4cOYd26dX7T3nDDDUhMTMThw4cZkBAREYVbJB6ul56ejvT0dL/piouL0dLSgj//+c+46aabAACfffYZWlpaMGzYML/Lr1y5EoWFhbj++uv9pj148CA6OjqQlZXlfwe6WDsg4Y3RiIjIHwuOIQmFQYMGYezYsZg6dSpeffVVAJ2X/Y4bN05xhc3AgQNRVVWFe++9V57X2tqKd955BwsXLvRa79dff421a9fijjvuQHp6Ov7yl79g9uzZGDx4MG6++eaA88erbIiIiGLE2rVrUVBQgJKSEpSUlOC6667Dm2++qUhz6NAhtLS0KOZVV1dDCIGf/vSnXutMSkrCf/3Xf2HMmDEYMGAAHnvsMZSUlGDLli2Ij48POG/WbiEhIiKKJk6Dl386Q9uck5aWhjVr1vhMI1RaaR5++GE8/PDDqulzcnKwbds2w3ljQEJERGSWKO6yiXbssiEiIqKIYwsJERGRaQy2kMTwlRqWDkj2T5sZ8HXasSJvqfcIaCIiChN22ejGLhsiIiKKOEu3kBAREUUVp8EbZIX4KptoxoCEiIjILMLZORlZPkaxy4aIiIgiji0kREREZuGgVt0YkHQzRm4QSETUHRl5+G7QOIZENwYkREREZmELiW4cQ0JEREQRxxYSIiIiswgYbCExLSeWw4CEiIjILOyy0Y1dNkRERBRxbCEhIiIyi9MJwMDNzZyxe2M0BiRERERmYZeNbuyyISIioohjCwkREZFZ2EKiGwMSIiIis/BOrbqxy4aIiIgiji0k3cw3j802ZT1XvrTQlPWQNZjxveF3xjezyiYFr7W1FfZfPxWWbQnhhBD6r5QxsqzVMSAhIiIyixDGul04hoSIiIgMEwbHkMRwQMIxJERERBRxbCEhIiIyi9MJSAbGgXAMCRERERnGLhvd2GVDREREEccWEiIiIpMIpxPCQJcNL/slIiIi49hloxu7bIiIiCji2EJCRERkFqcAJLaQ6MGAhIiIyCxCADBy2W/sBiTssiEiIqKIYwsJERGRSYRTQBjoshFsIYmM5cuXIy8vD8nJySgsLMSnn34ayewQEREZI5zGpxD63e9+h2HDhqFnz5649NJLA9slIVBZWYns7Gz06NEDw4cPx8GDBxVp2traMHPmTKSnp6NXr1646667cPTo0aDyFrGAZN26dSgvL8fcuXOxd+9e3HLLLSgtLUV9fX2kskRERGSIcArDUyi1t7fj/vvvxy9/+cuAl3n++eexaNEiLFu2DLt370ZmZiZGjx6N06dPy2nKy8uxYcMGVFdXY8eOHThz5gzGjRsHh8MR8HYiFpAsWrQIU6ZMwUMPPYRBgwZhyZIlyMnJwYoVKyKVJSIiom5t/vz5+NWvfoWCgoKA0gshsGTJEsydOxfjx49Hfn4+3njjDfzwww946623AAAtLS1YuXIlFi5ciFGjRmHw4MFYs2YN9u/fjy1btgSct4iMIWlvb0ddXR1+85vfKOaXlJSgtrbWK31bWxva2trk1y0tLQCA1tbW0GY0hjnPn490FiiMzChL/M74xvoqclzHPhzjMy6INkPdLhfQAcD7+2Kz2WCz2QzlTY8jR46gqakJJSUlirzcdtttqK2txSOPPIK6ujp0dHQo0mRnZyM/Px+1tbUYM2ZMQNuKSEBy/PhxOBwOZGRkKOZnZGSgqanJK31VVRXmz5/vNT8nJydkeSSKJfZfPxXpLHR7PMaRd/r0adjt9pCsOykpCZmZmdjRtNHwui655BKv89u8efNQWVlpeN3Bcp2T1c7X3333nZwmKSkJvXv39kqjdk7XEtGrbCRJUrwWQnjNA4CKigrMmjVLfn3q1Cnk5uaivr4+ZF+uSGltbUVOTg4aGhqQmpoa6eyYrjvvH/fNmrhv1hTMvgkhcPr0aWRnZ4csP8nJyThy5Aja29sNr0vtXOirdaSyslL1R7u73bt3Y8iQIbrzFOj5Otg07iISkKSnpyM+Pt4rcmpubvaKwgDtpiq73d7tCplLampqt903oHvvH/fNmrhv1hTovoXjx2tycjKSk5NDvh1PM2bMwAMPPOAzTb9+/XStOzMzE0BnK0hWVpY83/18nZmZifb2dpw8eVLRStLc3Ixhw4YFvK2IDGpNSkpCYWEhampqFPNramqCyjwREVGsS09Px8CBA31OegOlvLw8ZGZmKs7X7e3t2LZtm3y+LiwsRGJioiJNY2MjDhw4ENQ5PWJdNrNmzUJZWRmGDBmC4uJivPbaa6ivr8e0adMilSUiIqJurb6+Hv/85z9RX18Ph8OBffv2AQB+9KMf4ZJLLgEADBw4EFVVVbj33nshSRLKy8uxYMEC9O/fH/3798eCBQvQs2dPTJo0CUBn69OUKVMwe/Zs9OnTB2lpaZgzZw4KCgowatSogPMWsYBk4sSJOHHiBJ555hk0NjYiPz8fGzduRG5urt9lbTYb5s2bF5ERx6HWnfcN6N77x32zJu6bNXXnfQul//2//zfeeOMN+fXgwYMBAJ988gmGDx8OADh06JB8NSsAPPHEEzh37hymT5+OkydPYujQodi8eTNSUlLkNIsXL0ZCQgImTJiAc+fOYeTIkVi1ahXi4+MDzpskYvk+tURERBQV+HA9IiIiijgGJERERBRxDEiIiIgo4hiQEBERUcRZMiBZvnw58vLykJycjMLCQnz66aeRzlLQKisrIUmSYnLdgAYI7HHP0WL79u248847kZ2dDUmS8N577yneD9ejq0PB3749+OCDXp9jUVGRIk007ltVVRVuvPFGpKSkoG/fvrjnnntw6NAhRRorf26B7J9VP7sVK1bguuuuk28IVlxcjD/96U/y+1b+3Pztm1U/MwqM5QKSdevWoby8HHPnzsXevXtxyy23oLS0FPX19ZHOWtCuvfZaNDY2ytP+/fvl9wJ53HO0OHv2LK6//nosW7ZM9f1wPbo6FPztGwCMHTtW8Tlu3Kh8lkU07tu2bdvw6KOPYteuXaipqcGFCxdQUlKCs2fPymms/LkFsn+ANT+7yy+/HM8++yz27NmDPXv24Pbbb8fdd98tBx1W/tz87Rtgzc+MAiQs5qabbhLTpk1TzBs4cKD4zW9+E6Ec6TNv3jxx/fXXq77ndDpFZmamePbZZ+V558+fF3a7XbzyyithyqE+AMSGDRvk14Hsy6lTp0RiYqKorq6W0xw7dkzExcWJTZs2hS3v/njumxBCTJ48Wdx9992ay1hl35qbmwUAsW3bNiFE9/rchPDePyG6z2cnhBC9e/cW//mf/9ntPjchLu6bEN3rMyNvlmohaW9vR11dneIRxwBQUlKC2traCOVKv8OHDyM7Oxt5eXl44IEH8M033wDw/7hnKwlkX/w9ujrabd26FX379sXVV1+NqVOnorm5WX7PKvvmuglSWloagO73uXnun4vVPzuHw4Hq6mqcPXsWxcXF3epz89w3F6t/ZqQtok/7Ddbx48fhcDhUH4MczCOOo8HQoUOxevVqXH311fj+++/x29/+FsOGDcPBgwcDetyzVYTz0dWRUFpaivvvvx+5ubk4cuQInn76adx+++2oq6uDzWazxL4JITBr1iz85Cc/QX5+PoDu9bmp7R9g7c9u//79KC4uxvnz53HJJZdgw4YNuOaaa+STrpU/N619A6z9mZF/lgpIXPQ8BjnalJaWyn8XFBSguLgYV111Fd544w15kFZ32E+XcDy6OhImTpwo/52fn48hQ4YgNzcXH374IcaPH6+5XDTt24wZM/Dll19ix44dXu91h89Na/+s/NkNGDAA+/btw6lTp7B+/XpMnjwZ27Ztk9+38uemtW/XXHONpT8z8s9SXTbp6emIj4/3inTdH4NsVb169UJBQQEOHz6seNyzOyvuZyD74v7oaq00VpGVlYXc3FwcPnwYQPTv28yZM/HBBx/gk08+weWXXy7P7y6fm9b+qbHSZ5eUlIQf/ehHGDJkCKqqqnD99dfjxRdf7Bafm9a+qbHSZ0b+WSogSUpKQmFhoeIRxwBQU1MT1COOo1FbWxu++uorZGVlBfS4Z6sI56Oro8GJEyfQ0NCArKwsANG7b0IIzJgxA++++y4+/vhj5OXlKd63+ufmb//UWOWzUyOEQFtbm+U/NzWufVNj5c+MVIR9GK1B1dXVIjExUaxcuVL85S9/EeXl5aJXr17i22+/jXTWgjJ79myxdetW8c0334hdu3aJcePGiZSUFHk/nn32WWG328W7774r9u/fL37605+KrKws0draGuGcezt9+rTYu3ev2Lt3rwAgFi1aJPbu3Su+++47IURg+zJt2jRx+eWXiy1btojPP/9c3H777eL6668XFy5ciNRuCSF879vp06fF7NmzRW1trThy5Ij45JNPRHFxsfiXf/mXqN+3X/7yl8Jut4utW7eKxsZGefrhhx/kNFb+3Pztn5U/u4qKCrF9+3Zx5MgR8eWXX4onn3xSxMXFic2bNwshrP25+do3K39mFBjLBSRCCPHyyy+L3NxckZSUJG644QbFpXxWMXHiRJGVlSUSExNFdna2GD9+vDh48KD8vtPpFPPmzROZmZnCZrOJW2+9Vezfvz+COdb2ySefCABe0+TJk4UQge3LuXPnxIwZM0RaWpro0aOHGDdunKivr4/A3ij52rcffvhBlJSUiMsuu0wkJiaKK664QkyePNkr39G4b2r7BEC8/vrrchorf27+9s/Kn90vfvELuf677LLLxMiRI+VgRAhrf26+9s3KnxkFRhJCiPC1xxARERF5s9QYEiIiIuqeGJAQERFRxDEgISIioohjQEJEREQRx4CEiIiIIo4BCREREUUcAxIiIiKKOAYkREREFHEMSIiIiCjiGJAQERFRxDEgISIioohjQEJEREQR9/8DSKk8/JGxuWQAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.pcolor(mom_tarea.values-ds.tarea.values, vmin=-1e6, vmax=1e6)\n",
    "plt.colorbar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "7d4c0eae-0002-4c11-86b4-307651b8693f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-08T01:56:24.850004Z",
     "iopub.status.busy": "2024-03-08T01:56:24.848967Z",
     "iopub.status.idle": "2024-03-08T01:56:25.790909Z",
     "shell.execute_reply": "2024-03-08T01:56:25.790209Z",
     "shell.execute_reply.started": "2024-03-08T01:56:24.849953Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x148dc1d5b910>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.pcolor(mom_tarea.values-grid.tarea.values, vmin=-1e6, vmax=1e6)\n",
    "plt.colorbar()"
   ]
  }
 ],
 "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": "3.10.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}