climate-dt/climate-dt-earthkit-example.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "089adc3f-943e-4b49-bc45-9e11c737b579",
   "metadata": {},
   "source": [
    "## Polytope Climate-DT example notebook\n",
    "\n",
    "This notebook shows how to use earthkit-data and earthkit-plots to pull destination-earth data from LUMI and plot it using earthkit-plots.\n",
    "\n",
    "Before running the notebook you need to set up your credentials. See the main readme of this repository for different ways to do this or use the following cells to authenticate.\n",
    "\n",
    "You will need to generate your credentials using the desp-authentication.py script.\n",
    "\n",
    "This can be run as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "690284b8-914f-4615-9f10-d64bc0a41dfe",
   "metadata": {},
   "outputs": [],
   "source": [
    "!python3 ~/polytope-examples/desp-authentication.py -u <user_name> -p <password>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5ac38420-9c94-464f-990a-bf8166004218",
   "metadata": {},
   "source": [
    "This will generate a token that can then be used by earthkit and polytope.\n",
    "\n",
    "You can also run the script without arguments to enter your username and password."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "88643e46",
   "metadata": {},
   "outputs": [],
   "source": [
    "!python3 ~/polytope-examples/desp-authentication.py "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a44eafad-eb93-475f-9824-521473c00bb7",
   "metadata": {},
   "source": [
    "# Requirements\n",
    "To run this notebook install the following:\n",
    "* pip install earthkit-data\n",
    "* pip install earthkit-plots\n",
    "* pip install earthkit-regrid  (Optional for spectral variables)\n",
    "* pip install cf-units         (Optional for unit conversion in maps)\n",
    "\n",
    "If you do not have eccodes installed please install eccodes using conda as it is a dependency of earthkit, or install earthkit via conda\n",
    "\n",
    "* conda install eccodes -c conda-forge\n",
    "* conda install earthkit-data -c conda-forge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b2827834-1bcf-4958-83b4-c3a6b9a70275",
   "metadata": {},
   "outputs": [],
   "source": [
    "import earthkit.data\n",
    "import earthkit.plots\n",
    "import earthkit.regrid\n",
    "\n",
    "# This request matches multiple parameter of the climate DT\n",
    "\n",
    "request = {\n",
    "    'activity': 'ScenarioMIP',\n",
    "    'class': 'd1',\n",
    "    'dataset': 'climate-dt',\n",
    "    'date': '20200102',\n",
    "    'experiment': 'SSP3-7.0',\n",
    "    'expver': '0001',\n",
    "    'generation': '1',\n",
    "    'levtype': 'sfc',\n",
    "    'model': 'IFS-NEMO',\n",
    "    'param': '134/165/166',\n",
    "    'realization': '1',\n",
    "    'resolution': 'standard',\n",
    "    'stream': 'clte',\n",
    "    'time': '0100', # '0100/0200/0300/0400/0500/0600'\n",
    "    'type': 'fc'\n",
    "}\n",
    "\n",
    "#data is an earthkit streaming object but with stream=False will download data immediately \n",
    "data = earthkit.data.from_source(\"polytope\", \"destination-earth\", request, address=\"polytope.lumi.apps.dte.destination-earth.eu\", stream=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0c76470c-e897-4747-a56d-c7c786676b52",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>20200102</td>\n",
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       "  centre shortName        typeOfLevel  level  dataDate  dataTime stepRange  \\\n",
       "0   ecmf        sp            surface      0  20200102       100         0   \n",
       "1   ecmf       10u  heightAboveGround     10  20200102       100         0   \n",
       "2   ecmf       10v  heightAboveGround     10  20200102       100         0   \n",
       "\n",
       "  dataType number gridType  \n",
       "0       an   None  healpix  \n",
       "1       an   None  healpix  \n",
       "2       an   None  healpix  "
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   "source": [
    "data.ls()"
   ]
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  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "670486d6",
   "metadata": {},
   "outputs": [
    {
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",
      "text/plain": [
       "<Figure size 700x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "chart = earthkit.plots.Map(extent=[-180, 180, -90, 90])\n",
    "chart.plot(\n",
    "    data[0]\n",
    ")\n",
    "\n",
    "chart.title(\"Surface Pressure\")\n",
    "chart.coastlines()\n",
    "chart.gridlines()\n",
    "chart.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "411d84fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
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       " */\n",
       "\n",
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       "\n",
       "html[theme=dark],\n",
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       "\n",
       ".xr-text-repr-fallback {\n",
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       "\n",
       ".xr-header {\n",
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       "  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",
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       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
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       "\n",
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       "\n",
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       "\n",
       ".xr-section-item {\n",
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       "\n",
       ".xr-section-item input {\n",
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       "\n",
       ".xr-section-item input + label {\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
       ".xr-section-summary,\n",
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       "\n",
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       "\n",
       ".xr-section-details {\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "\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",
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       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
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       "\n",
       ".xr-dim-list:before {\n",
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       "\n",
       ".xr-dim-list:after {\n",
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       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
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       "\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",
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       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
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       "\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",
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       "\n",
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       "\n",
       ".xr-var-dims {\n",
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       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
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       "\n",
       ".xr-var-preview {\n",
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       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
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       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
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       ".xr-attrs dt {\n",
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       "\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",
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       "\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",
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       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 786kB\n",
       "Dimensions:            (time: 1, step: 1, surface: 1, latitude: 181,\n",
       "                        longitude: 360, heightAboveGround: 1)\n",
       "Coordinates:\n",
       "  * time               (time) datetime64[ns] 8B 2020-01-02T01:00:00\n",
       "  * step               (step) timedelta64[ns] 8B 00:00:00\n",
       "  * surface            (surface) float64 8B 0.0\n",
       "  * latitude           (latitude) float64 1kB 90.0 89.0 88.0 ... -89.0 -90.0\n",
       "  * longitude          (longitude) float64 3kB 0.0 1.0 2.0 ... 357.0 358.0 359.0\n",
       "    valid_time         (time, step) datetime64[ns] 8B ...\n",
       "  * heightAboveGround  (heightAboveGround) float64 8B 10.0\n",
       "Data variables:\n",
       "    sp                 (time, step, surface, latitude, longitude) float32 261kB ...\n",
       "    u10                (time, step, heightAboveGround, latitude, longitude) float32 261kB ...\n",
       "    v10                (time, step, heightAboveGround, latitude, longitude) float32 261kB ...\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          1003\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    history:                 2024-05-14T15:15 GRIB to CDM+CF via cfgrib-0.9.1...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-400d0225-d0a4-49a7-a3ce-040f6ca6a278' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-400d0225-d0a4-49a7-a3ce-040f6ca6a278' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>step</span>: 1</li><li><span class='xr-has-index'>surface</span>: 1</li><li><span class='xr-has-index'>latitude</span>: 181</li><li><span class='xr-has-index'>longitude</span>: 360</li><li><span class='xr-has-index'>heightAboveGround</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d18a032a-f7cf-49f8-aed3-32b496fe0501' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d18a032a-f7cf-49f8-aed3-32b496fe0501' 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'>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'>2020-01-02T01:00:00</div><input id='attrs-498afd6a-26c0-4504-bc4f-34ddd5561df3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-498afd6a-26c0-4504-bc4f-34ddd5561df3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b847730a-20c6-4120-bacd-ffc3414bd78d' class='xr-var-data-in' type='checkbox'><label for='data-b847730a-20c6-4120-bacd-ffc3414bd78d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-01-02T01:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>step</span></div><div class='xr-var-dims'>(step)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>00:00:00</div><input id='attrs-36eca7fe-e334-46f7-9074-b9a02ae0f8bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36eca7fe-e334-46f7-9074-b9a02ae0f8bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f1e45f3-20db-46f7-b134-446f2d1aa69d' class='xr-var-data-in' type='checkbox'><label for='data-9f1e45f3-20db-46f7-b134-446f2d1aa69d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd></dl></div><div class='xr-var-data'><pre>array([0], dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>surface</span></div><div class='xr-var-dims'>(surface)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-ceeb41b4-59b9-4c38-9ff7-40a0bbc16409' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ceeb41b4-59b9-4c38-9ff7-40a0bbc16409' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c508276a-9d3b-472d-a69d-b45d378515bb' class='xr-var-data-in' type='checkbox'><label for='data-c508276a-9d3b-472d-a69d-b45d378515bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>original GRIB coordinate for key: level(surface)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>90.0 89.0 88.0 ... -89.0 -90.0</div><input id='attrs-4abf5610-538c-482d-a58e-c45adb833d3d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4abf5610-538c-482d-a58e-c45adb833d3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8284c20-a220-43af-9ef3-d2cfb4db33d8' class='xr-var-data-in' type='checkbox'><label for='data-e8284c20-a220-43af-9ef3-d2cfb4db33d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd></dl></div><div class='xr-var-data'><pre>array([ 90.,  89.,  88.,  87.,  86.,  85.,  84.,  83.,  82.,  81.,  80.,  79.,\n",
       "        78.,  77.,  76.,  75.,  74.,  73.,  72.,  71.,  70.,  69.,  68.,  67.,\n",
       "        66.,  65.,  64.,  63.,  62.,  61.,  60.,  59.,  58.,  57.,  56.,  55.,\n",
       "        54.,  53.,  52.,  51.,  50.,  49.,  48.,  47.,  46.,  45.,  44.,  43.,\n",
       "        42.,  41.,  40.,  39.,  38.,  37.,  36.,  35.,  34.,  33.,  32.,  31.,\n",
       "        30.,  29.,  28.,  27.,  26.,  25.,  24.,  23.,  22.,  21.,  20.,  19.,\n",
       "        18.,  17.,  16.,  15.,  14.,  13.,  12.,  11.,  10.,   9.,   8.,   7.,\n",
       "         6.,   5.,   4.,   3.,   2.,   1.,   0.,  -1.,  -2.,  -3.,  -4.,  -5.,\n",
       "        -6.,  -7.,  -8.,  -9., -10., -11., -12., -13., -14., -15., -16., -17.,\n",
       "       -18., -19., -20., -21., -22., -23., -24., -25., -26., -27., -28., -29.,\n",
       "       -30., -31., -32., -33., -34., -35., -36., -37., -38., -39., -40., -41.,\n",
       "       -42., -43., -44., -45., -46., -47., -48., -49., -50., -51., -52., -53.,\n",
       "       -54., -55., -56., -57., -58., -59., -60., -61., -62., -63., -64., -65.,\n",
       "       -66., -67., -68., -69., -70., -71., -72., -73., -74., -75., -76., -77.,\n",
       "       -78., -79., -80., -81., -82., -83., -84., -85., -86., -87., -88., -89.,\n",
       "       -90.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 ... 357.0 358.0 359.0</div><input id='attrs-4d7f86a0-ed31-4414-8e5b-6c59c84cf615' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d7f86a0-ed31-4414-8e5b-6c59c84cf615' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea23d1d2-e4e1-49d3-a0fb-07d66c64f722' class='xr-var-data-in' type='checkbox'><label for='data-ea23d1d2-e4e1-49d3-a0fb-07d66c64f722' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   1.,   2., ..., 357., 358., 359.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>(time, step)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-460ff999-d8ff-4adf-9828-a150c0f1e2da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-460ff999-d8ff-4adf-9828-a150c0f1e2da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2153415a-b0c5-4962-81ca-d25cfa34080c' class='xr-var-data-in' type='checkbox'><label for='data-2153415a-b0c5-4962-81ca-d25cfa34080c' 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>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>heightAboveGround</span></div><div class='xr-var-dims'>(heightAboveGround)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.0</div><input id='attrs-c3a67004-8b06-4403-86d2-32070e060808' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3a67004-8b06-4403-86d2-32070e060808' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0ae78b4-4aac-4523-9cee-2c5145897d09' class='xr-var-data-in' type='checkbox'><label for='data-e0ae78b4-4aac-4523-9cee-2c5145897d09' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height above the surface</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array([10.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cfcf6aa6-4953-4f81-bcaf-814dc028ee2d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cfcf6aa6-4953-4f81-bcaf-814dc028ee2d' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>sp</span></div><div class='xr-var-dims'>(time, step, surface, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4bafc91d-4d11-4239-9a4b-66eabbf5efd2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4bafc91d-4d11-4239-9a4b-66eabbf5efd2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-472ab48d-b06c-42c2-b093-4eaa389e3e4b' class='xr-var-data-in' type='checkbox'><label for='data-472ab48d-b06c-42c2-b093-4eaa389e3e4b' 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>GRIB_paramId :</span></dt><dd>134</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>65160</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>360</dd><dt><span>GRIB_Ny :</span></dt><dd>181</dd><dt><span>GRIB_cfName :</span></dt><dd>surface_air_pressure</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sp</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>1.0</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>1.0</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Surface pressure</dd><dt><span>GRIB_shortName :</span></dt><dd>sp</dd><dt><span>GRIB_units :</span></dt><dd>Pa</dd><dt><span>long_name :</span></dt><dd>Surface pressure</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>standard_name :</span></dt><dd>surface_air_pressure</dd></dl></div><div class='xr-var-data'><pre>[65160 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u10</span></div><div class='xr-var-dims'>(time, step, heightAboveGround, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ad5afe65-c77e-4533-93dc-4303dc140b8f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad5afe65-c77e-4533-93dc-4303dc140b8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f4f904d-7da2-4b3a-b240-4191b9310e98' class='xr-var-data-in' type='checkbox'><label for='data-3f4f904d-7da2-4b3a-b240-4191b9310e98' 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>GRIB_paramId :</span></dt><dd>165</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>65160</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>heightAboveGround</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>360</dd><dt><span>GRIB_Ny :</span></dt><dd>181</dd><dt><span>GRIB_cfName :</span></dt><dd>eastward_wind</dd><dt><span>GRIB_cfVarName :</span></dt><dd>u10</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>1.0</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>1.0</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>10 metre U wind component</dd><dt><span>GRIB_shortName :</span></dt><dd>10u</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>long_name :</span></dt><dd>10 metre U wind component</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd></dl></div><div class='xr-var-data'><pre>[65160 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v10</span></div><div class='xr-var-dims'>(time, step, heightAboveGround, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ee09977a-65c4-4484-af92-82a14318672e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee09977a-65c4-4484-af92-82a14318672e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0f9c604-eae9-4bc1-a1b1-285ee4c966b0' class='xr-var-data-in' type='checkbox'><label for='data-b0f9c604-eae9-4bc1-a1b1-285ee4c966b0' 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>GRIB_paramId :</span></dt><dd>166</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>65160</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>heightAboveGround</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>360</dd><dt><span>GRIB_Ny :</span></dt><dd>181</dd><dt><span>GRIB_cfName :</span></dt><dd>northward_wind</dd><dt><span>GRIB_cfVarName :</span></dt><dd>v10</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>1.0</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>1.0</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>10 metre V wind component</dd><dt><span>GRIB_shortName :</span></dt><dd>10v</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>long_name :</span></dt><dd>10 metre V wind component</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd></dl></div><div class='xr-var-data'><pre>[65160 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2d0ee2d2-2b7d-4026-9217-6999eb791df6' class='xr-section-summary-in' type='checkbox'  ><label for='section-2d0ee2d2-2b7d-4026-9217-6999eb791df6' class='xr-section-summary' >Indexes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4f913718-5d4c-42d7-b9cf-70c417b9d7a7' class='xr-index-data-in' type='checkbox'/><label for='index-4f913718-5d4c-42d7-b9cf-70c417b9d7a7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2020-01-02 01:00:00&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>step</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5f428b0b-6c43-4663-a4c8-f3e876d5d4ea' class='xr-index-data-in' type='checkbox'/><label for='index-5f428b0b-6c43-4663-a4c8-f3e876d5d4ea' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(TimedeltaIndex([&#x27;0 days&#x27;], dtype=&#x27;timedelta64[ns]&#x27;, name=&#x27;step&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>surface</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d1e7949e-0031-4053-9802-f6e20aacc172' class='xr-index-data-in' type='checkbox'/><label for='index-d1e7949e-0031-4053-9802-f6e20aacc172' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.0], dtype=&#x27;float64&#x27;, name=&#x27;surface&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2737240e-7d2e-402e-92e3-eccd2e148d6d' class='xr-index-data-in' type='checkbox'/><label for='index-2737240e-7d2e-402e-92e3-eccd2e148d6d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 90.0,  89.0,  88.0,  87.0,  86.0,  85.0,  84.0,  83.0,  82.0,  81.0,\n",
       "       ...\n",
       "       -81.0, -82.0, -83.0, -84.0, -85.0, -86.0, -87.0, -88.0, -89.0, -90.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;, length=181))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b563aa60-35f3-422d-ba22-0480036f541a' class='xr-index-data-in' type='checkbox'/><label for='index-b563aa60-35f3-422d-ba22-0480036f541a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   1.0,   2.0,   3.0,   4.0,   5.0,   6.0,   7.0,   8.0,   9.0,\n",
       "       ...\n",
       "       350.0, 351.0, 352.0, 353.0, 354.0, 355.0, 356.0, 357.0, 358.0, 359.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;, length=360))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>heightAboveGround</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-742509a8-e2b2-47ef-b4c5-3b6fbbdd7a3a' class='xr-index-data-in' type='checkbox'/><label for='index-742509a8-e2b2-47ef-b4c5-3b6fbbdd7a3a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([10.0], dtype=&#x27;float64&#x27;, name=&#x27;heightAboveGround&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-24626723-4f75-45e8-a555-447f3a60e349' class='xr-section-summary-in' type='checkbox'  checked><label for='section-24626723-4f75-45e8-a555-447f3a60e349' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_edition :</span></dt><dd>2</dd><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_subCentre :</span></dt><dd>1003</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>history :</span></dt><dd>2024-05-14T15:15 GRIB to CDM+CF via cfgrib-0.9.11.0/ecCodes-2.34.1 with {&quot;source&quot;: &quot;N/A&quot;, &quot;filter_by_keys&quot;: {}, &quot;encode_cf&quot;: [&quot;parameter&quot;, &quot;time&quot;, &quot;geography&quot;, &quot;vertical&quot;]}</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 786kB\n",
       "Dimensions:            (time: 1, step: 1, surface: 1, latitude: 181,\n",
       "                        longitude: 360, heightAboveGround: 1)\n",
       "Coordinates:\n",
       "  * time               (time) datetime64[ns] 8B 2020-01-02T01:00:00\n",
       "  * step               (step) timedelta64[ns] 8B 00:00:00\n",
       "  * surface            (surface) float64 8B 0.0\n",
       "  * latitude           (latitude) float64 1kB 90.0 89.0 88.0 ... -89.0 -90.0\n",
       "  * longitude          (longitude) float64 3kB 0.0 1.0 2.0 ... 357.0 358.0 359.0\n",
       "    valid_time         (time, step) datetime64[ns] 8B ...\n",
       "  * heightAboveGround  (heightAboveGround) float64 8B 10.0\n",
       "Data variables:\n",
       "    sp                 (time, step, surface, latitude, longitude) float32 261kB ...\n",
       "    u10                (time, step, heightAboveGround, latitude, longitude) float32 261kB ...\n",
       "    v10                (time, step, heightAboveGround, latitude, longitude) float32 261kB ...\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          1003\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    history:                 2024-05-14T15:15 GRIB to CDM+CF via cfgrib-0.9.1..."
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Regrid t=from healpix for conversion to xarray\n",
    "data_latlon = earthkit.regrid.interpolate(data, out_grid={\"grid\": [1,1]}, method=\"linear\")\n",
    "# Convert data to xarray\n",
    "data_latlon.to_xarray()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f12d8515",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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