From 7f89ce5f16ccd8b273eb825dde3db44607948d97 Mon Sep 17 00:00:00 2001 From: voigta80 <aiko.voigt@univie.ac.at> Date: Mon, 17 Mar 2025 15:20:28 +0000 Subject: [PATCH] Adds example notebook for icon nextgems --- .../icon-ngc4008-load-plot-checkpoint.ipynb | 11855 ++++++++++++++++ .../icon-ngc4008-load-plot.ipynb | 11855 ++++++++++++++++ 2 files changed, 23710 insertions(+) create mode 100644 analysis/icon-nextgems/.ipynb_checkpoints/icon-ngc4008-load-plot-checkpoint.ipynb create mode 100644 analysis/icon-nextgems/icon-ngc4008-load-plot.ipynb diff --git a/analysis/icon-nextgems/.ipynb_checkpoints/icon-ngc4008-load-plot-checkpoint.ipynb b/analysis/icon-nextgems/.ipynb_checkpoints/icon-ngc4008-load-plot-checkpoint.ipynb new file mode 100644 index 0000000..a8685ef --- /dev/null +++ b/analysis/icon-nextgems/.ipynb_checkpoints/icon-ngc4008-load-plot-checkpoint.ipynb @@ -0,0 +1,11855 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "735830fd-62b6-4962-aa55-f90dc7a741da", + "metadata": {}, + "source": [ + "# Example of how to load and plot ICON nextGEMS data" + ] + }, + { + "cell_type": "markdown", + "id": "4dc8fe11-d0e4-4d46-9568-1af7e147fd9b", + "metadata": {}, + "source": [ + "On Teachinghub, use the MagicPy Kernel." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cb932c48-e396-4bfd-beb1-a7a2a16cf393", + "metadata": {}, + "outputs": [], + "source": [ + "import intake\n", + "import cartopy.crs as ccrs\n", + "import cartopy.feature as cf\n", + "import cmocean\n", + "import healpy as hp\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import dask\n", + "import zarr\n", + "import easygems\n", + "import easygems.healpix as egh\n", + "import xarray as xr" + ] + }, + { + "cell_type": "markdown", + "id": "e61a8fba-237b-423f-9492-59c76fd4fbaf", + "metadata": {}, + "source": [ + "Load simulation data from publicly available cloud. The number in front of \".zarr\" is the zoom level. A higher zoom level leads to much larger data. Zoom levels 0 to 9 are available." + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "c71c9d41-1d62-4a0a-92db-58041a61fc90", + "metadata": {}, + "outputs": [], + "source": [ + "icon = xr.open_zarr(\"https://s3.eu-dkrz-1.dkrz.cloud/nextgems/rechunked_ngc4008/ngc4008_P1D_9.zarr\")" + ] + }, + { + "cell_type": "markdown", + "id": "f81d1060-616a-4c82-9e8a-6a07ac2d1790", + "metadata": {}, + "source": [ + "How large is the data in GB?" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "2942963e-00e5-48d4-9b37-dd43f43093e2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Size of data in GB: 215612.09773914889\n" + ] + } + ], + "source": [ + "print(\"Size of data in GB:\", icon.nbytes/(1024**3))" + ] + }, + { + "cell_type": "markdown", + "id": "4adfdae8-f222-4b5a-8fbd-37c82573470d", + "metadata": {}, + "source": [ + "Let us check what is in the data." + ] + }, + { + "cell_type": "code", + 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stroke: currentColor;\n", + " fill: currentColor;\n", + "}\n", + "</style><pre class='xr-text-repr-fallback'><xarray.Dataset> Size: 232TB\n", + "Dimensions: (time: 10958, depth_half: 73,\n", + " cell: 3145728, level_full: 90,\n", + " crs: 1, depth_full: 72,\n", + " soil_depth_water_level: 5,\n", + " level_half: 91,\n", + " soil_depth_energy_level: 5)\n", + "Coordinates:\n", + " * crs (crs) float32 4B nan\n", + " * depth_full (depth_full) float32 288B 1.0 ... 5....\n", + " * depth_half (depth_half) float32 292B 0.0 ... 5....\n", + " * level_full (level_full) int32 360B 1 2 3 ... 89 90\n", + " * level_half (level_half) int32 364B 1 2 3 ... 90 91\n", + " * soil_depth_energy_level (soil_depth_energy_level) float32 20B ...\n", + " * soil_depth_water_level (soil_depth_water_level) float32 20B ...\n", + " * time (time) datetime64[ns] 88kB 2020-01-0...\n", + "Dimensions without coordinates: cell\n", + "Data variables: (12/103)\n", + " A_tracer_v_to (time, depth_half, cell) float32 10TB dask.array<chunksize=(7, 11, 65536), meta=np.ndarray>\n", + " FrshFlux_IceSalt (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " FrshFlux_TotalIce (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " Qbot (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " Qtop (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " Wind_Speed_10m (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " ... ...\n", + " vas (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " w (time, depth_half, cell) float32 10TB dask.array<chunksize=(7, 11, 65536), meta=np.ndarray>\n", + " wa_phy (time, level_half, cell) float32 13TB dask.array<chunksize=(7, 13, 65536), meta=np.ndarray>\n", + " zg (level_full, cell) float32 1GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " zghalf (level_half, cell) float32 1GB dask.array<chunksize=(31, 65536), meta=np.ndarray>\n", + " zos (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray></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-9980954e-7b26-45e9-9fd0-60b129d6ab03' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9980954e-7b26-45e9-9fd0-60b129d6ab03' 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>: 10958</li><li><span class='xr-has-index'>depth_half</span>: 73</li><li><span>cell</span>: 3145728</li><li><span class='xr-has-index'>level_full</span>: 90</li><li><span class='xr-has-index'>crs</span>: 1</li><li><span class='xr-has-index'>depth_full</span>: 72</li><li><span class='xr-has-index'>soil_depth_water_level</span>: 5</li><li><span class='xr-has-index'>level_half</span>: 91</li><li><span class='xr-has-index'>soil_depth_energy_level</span>: 5</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-60e82d4c-35f6-4759-acbe-f8d546af4c9f' class='xr-section-summary-in' type='checkbox' checked><label for='section-60e82d4c-35f6-4759-acbe-f8d546af4c9f' class='xr-section-summary' >Coordinates: <span>(8)</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'>crs</span></div><div class='xr-var-dims'>(crs)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-40146c9d-bb49-4f8c-9397-868649459d1e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40146c9d-bb49-4f8c-9397-868649459d1e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-646a7c1e-a41b-4656-8c02-a0b49496d31f' class='xr-var-data-in' type='checkbox'><label for='data-646a7c1e-a41b-4656-8c02-a0b49496d31f' 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>grid_mapping_name :</span></dt><dd>healpix</dd><dt><span>healpix_nside :</span></dt><dd>512</dd><dt><span>healpix_order :</span></dt><dd>nest</dd></dl></div><div class='xr-var-data'><pre>array([nan], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>depth_full</span></div><div class='xr-var-dims'>(depth_full)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0 3.1 ... 5.546e+03 5.816e+03</div><input id='attrs-aad6b3ca-d1fb-4d60-b409-e752917ecf85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aad6b3ca-d1fb-4d60-b409-e752917ecf85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3297603-2e23-4355-af90-e07f8b10cfc0' class='xr-var-data-in' type='checkbox'><label for='data-d3297603-2e23-4355-af90-e07f8b10cfc0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>depth_below_sea</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([1.00000e+00, 3.10000e+00, 5.45000e+00, 8.10000e+00, 1.10500e+01,\n", + " 1.43500e+01, 1.80500e+01, 2.22000e+01, 2.68500e+01, 3.20000e+01,\n", + " 3.76500e+01, 4.38000e+01, 5.05500e+01, 5.79500e+01, 6.60000e+01,\n", + " 7.48000e+01, 8.44500e+01, 9.50000e+01, 1.06500e+02, 1.19100e+02,\n", + " 1.32900e+02, 1.47950e+02, 1.64350e+02, 1.82250e+02, 2.01800e+02,\n", + " 2.23150e+02, 2.46450e+02, 2.71850e+02, 2.99550e+02, 3.29750e+02,\n", + " 3.62650e+02, 3.98450e+02, 4.37400e+02, 4.79250e+02, 5.23450e+02,\n", + " 5.69500e+02, 6.17100e+02, 6.66300e+02, 7.17150e+02, 7.69700e+02,\n", + " 8.24000e+02, 8.80100e+02, 9.38050e+02, 9.97900e+02, 1.05975e+03,\n", + " 1.12450e+03, 1.19410e+03, 1.27070e+03, 1.35630e+03, 1.45170e+03,\n", + " 1.55680e+03, 1.67195e+03, 1.79645e+03, 1.92950e+03, 2.07140e+03,\n", + " 2.22245e+03, 2.38290e+03, 2.55290e+03, 2.73250e+03, 2.92175e+03,\n", + " 3.12060e+03, 3.32885e+03, 3.54625e+03, 3.77245e+03, 4.00695e+03,\n", + " 4.24915e+03, 4.49830e+03, 4.75355e+03, 5.01400e+03, 5.27860e+03,\n", + " 5.54625e+03, 5.81575e+03], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>depth_half</span></div><div class='xr-var-dims'>(depth_half)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.2 ... 5.681e+03 5.951e+03</div><input id='attrs-441ec028-b43b-4ab3-9f5b-8d35e0582c30' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-441ec028-b43b-4ab3-9f5b-8d35e0582c30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84b86c68-6581-4b40-9e1c-05193ffa1339' class='xr-var-data-in' type='checkbox'><label for='data-84b86c68-6581-4b40-9e1c-05193ffa1339' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>depth_below_sea</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([0.0000e+00, 2.0000e+00, 4.2000e+00, 6.7000e+00, 9.5000e+00, 1.2600e+01,\n", + " 1.6100e+01, 2.0000e+01, 2.4400e+01, 2.9300e+01, 3.4700e+01, 4.0600e+01,\n", + " 4.7000e+01, 5.4100e+01, 6.1800e+01, 7.0200e+01, 7.9400e+01, 8.9500e+01,\n", + " 1.0050e+02, 1.1250e+02, 1.2570e+02, 1.4010e+02, 1.5580e+02, 1.7290e+02,\n", + " 1.9160e+02, 2.1200e+02, 2.3430e+02, 2.5860e+02, 2.8510e+02, 3.1400e+02,\n", + " 3.4550e+02, 3.7980e+02, 4.1710e+02, 4.5770e+02, 5.0080e+02, 5.4610e+02,\n", + " 5.9290e+02, 6.4130e+02, 6.9130e+02, 7.4300e+02, 7.9640e+02, 8.5160e+02,\n", + " 9.0860e+02, 9.6750e+02, 1.0283e+03, 1.0912e+03, 1.1578e+03, 1.2304e+03,\n", + " 1.3110e+03, 1.4016e+03, 1.5018e+03, 1.6118e+03, 1.7321e+03, 1.8608e+03,\n", + " 1.9982e+03, 2.1446e+03, 2.3003e+03, 2.4655e+03, 2.6403e+03, 2.8247e+03,\n", + " 3.0188e+03, 3.2224e+03, 3.4353e+03, 3.6572e+03, 3.8877e+03, 4.1262e+03,\n", + " 4.3721e+03, 4.6245e+03, 4.8826e+03, 5.1454e+03, 5.4118e+03, 5.6807e+03,\n", + " 5.9508e+03], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level_full</span></div><div class='xr-var-dims'>(level_full)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 ... 85 86 87 88 89 90</div><input id='attrs-448e83b4-518c-40b6-b751-ffa271fd0c79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-448e83b4-518c-40b6-b751-ffa271fd0c79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af222217-ec4a-4560-8d50-d9fa2e911271' class='xr-var-data-in' type='checkbox'><label for='data-af222217-ec4a-4560-8d50-d9fa2e911271' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>generalized_height</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18,\n", + " 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36,\n", + " 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54,\n", + " 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72,\n", + " 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90],\n", + " dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level_half</span></div><div class='xr-var-dims'>(level_half)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 ... 86 87 88 89 90 91</div><input id='attrs-f4d5c1d3-92f3-4bea-9105-ffbc1b1bfea6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4d5c1d3-92f3-4bea-9105-ffbc1b1bfea6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be860616-e116-42b2-9eb9-0a97fd61d8b7' class='xr-var-data-in' type='checkbox'><label for='data-be860616-e116-42b2-9eb9-0a97fd61d8b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>generalized_height</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18,\n", + " 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36,\n", + " 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54,\n", + " 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72,\n", + " 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90,\n", + " 91], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>soil_depth_energy_level</span></div><div class='xr-var-dims'>(soil_depth_energy_level)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0325 0.192 0.7755 2.683 6.984</div><input id='attrs-9d858b81-35dc-4997-a3f9-29f2b728fd8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d858b81-35dc-4997-a3f9-29f2b728fd8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5cb5893-b692-4149-8d7c-cca8cc397cce' class='xr-var-data-in' type='checkbox'><label for='data-f5cb5893-b692-4149-8d7c-cca8cc397cce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>depth_below_land</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([0.0325, 0.192 , 0.7755, 2.683 , 6.984 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>soil_depth_water_level</span></div><div class='xr-var-dims'>(soil_depth_water_level)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0325 0.192 0.7755 2.683 6.984</div><input id='attrs-816054ac-b5a4-4f2f-b66a-0ea17f32f10c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-816054ac-b5a4-4f2f-b66a-0ea17f32f10c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-396df914-9183-43bf-ab00-6b98866e12e6' class='xr-var-data-in' type='checkbox'><label for='data-396df914-9183-43bf-ab00-6b98866e12e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>depth_below_land</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([0.0325, 0.192 , 0.7755, 2.683 , 6.984 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-01-02 ... 2050-01-01</div><input id='attrs-bb802880-ae33-4231-a02b-cba964c4374b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb802880-ae33-4231-a02b-cba964c4374b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a530af74-cb4d-43fb-b3a7-a6345f35e6d7' class='xr-var-data-in' type='checkbox'><label for='data-a530af74-cb4d-43fb-b3a7-a6345f35e6d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array(['2020-01-02T00:00:00.000000000', '2020-01-03T00:00:00.000000000',\n", + " '2020-01-04T00:00:00.000000000', ..., '2049-12-30T00:00:00.000000000',\n", + " '2049-12-31T00:00:00.000000000', '2050-01-01T00:00:00.000000000'],\n", + " dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0aa5e9cf-b20c-4576-9532-d7d41d12ab91' class='xr-section-summary-in' type='checkbox' ><label for='section-0aa5e9cf-b20c-4576-9532-d7d41d12ab91' class='xr-section-summary' >Data variables: <span>(103)</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>A_tracer_v_to</span></div><div class='xr-var-dims'>(time, depth_half, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(7, 11, 65536), meta=np.ndarray></div><input id='attrs-cc61343c-d32a-4532-a911-dad77ab2d7ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc61343c-d32a-4532-a911-dad77ab2d7ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cec35c0c-8f2e-4c18-807b-77243fe0dec5' class='xr-var-data-in' type='checkbox'><label for='data-cec35c0c-8f2e-4c18-807b-77243fe0dec5' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>sea water vertical diffusivity</dd><dt><span>standard_name :</span></dt><dd>ocean_vertical_diffusivity</dd><dt><span>units :</span></dt><dd>m2 s-1</dd><dt><span>vgrid :</span></dt><dd>depth_below_sea_half</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 9.15 TiB </td>\n", + " <td> 19.25 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 73, 3145728) </td>\n", + " <td> (7, 11, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 526176 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"3\" x2=\"24\" y2=\"18\" />\n", + " <line x1=\"10\" y1=\"7\" x2=\"24\" y2=\"22\" />\n", + " <line x1=\"10\" y1=\"11\" x2=\"24\" y2=\"26\" />\n", + " <line x1=\"10\" y1=\"15\" x2=\"24\" y2=\"30\" />\n", + " <line x1=\"10\" y1=\"19\" x2=\"24\" y2=\"34\" />\n", + " <line x1=\"10\" y1=\"22\" x2=\"24\" y2=\"37\" />\n", + " <line x1=\"10\" y1=\"25\" x2=\"24\" y2=\"40\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"26\" />\n", + " <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"26\" />\n", + " <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"27\" />\n", + " <line x1=\"13\" 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id='data-d4894529-47a5-497e-a195-f99b76043353' class='xr-var-data-in' type='checkbox'><label for='data-d4894529-47a5-497e-a195-f99b76043353' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Salt volume flux due to sea ice change</dd><dt><span>units :</span></dt><dd>psu m s-1</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" 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xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce3ab3cd-4331-48a9-8ccb-56dd77e56361' class='xr-var-data-in' type='checkbox'><label for='data-ce3ab3cd-4331-48a9-8ccb-56dd77e56361' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Freshwater Flux due to Sea Ice Change</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + 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xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d0e033d-a83d-45d9-bd62-6446836b8b7a' class='xr-var-data-in' type='checkbox'><label for='data-1d0e033d-a83d-45d9-bd62-6446836b8b7a' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Conductive heat flux at ice-ocean interface</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>vgrid :</span></dt><dd>generic_ice</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line 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title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b82fd563-d0bd-47f3-9691-c27cdff529d5' class='xr-var-data-in' type='checkbox'><label for='data-b82fd563-d0bd-47f3-9691-c27cdff529d5' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Energy flux available for surface melting</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>vgrid :</span></dt><dd>generic_ice</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" 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<line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Wind_Speed_10m</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-21ba05bb-fb07-4ab3-b86d-6b3360b29c44' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21ba05bb-fb07-4ab3-b86d-6b3360b29c44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32981e9a-5ecb-48f8-a07d-2c59288254f7' class='xr-var-data-in' type='checkbox'><label for='data-32981e9a-5ecb-48f8-a07d-2c59288254f7' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Wind Speed at 10m height</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" 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class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c288892-5948-44db-92ed-9bddbaca4266' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68975115-1705-4f98-ae97-1048c874e1a1' class='xr-var-data-in' type='checkbox'><label for='data-68975115-1705-4f98-ae97-1048c874e1a1' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" 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<line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>atmos_fluxes_FrshFlux_Precipitation</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-3c61b247-8837-4bb0-bff2-ab731401d66d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c61b247-8837-4bb0-bff2-ab731401d66d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51853f07-8b1c-4f06-84c5-68137530c7bc' class='xr-var-data-in' type='checkbox'><label for='data-51853f07-8b1c-4f06-84c5-68137530c7bc' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" 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<line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>atmos_fluxes_FrshFlux_Runoff</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-1ed163ff-4e67-4055-ad41-aac4f911bbaf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ed163ff-4e67-4055-ad41-aac4f911bbaf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f1ef207-4f25-4a21-91d0-ff83ca2b8051' class='xr-var-data-in' type='checkbox'><label for='data-9f1ef207-4f25-4a21-91d0-ff83ca2b8051' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" 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for='attrs-f516180a-f7b3-46ed-bfeb-0ac0e0979b79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e03d865a-01c2-40a9-88f1-b0045b45dd1f' class='xr-var-data-in' type='checkbox'><label for='data-e03d865a-01c2-40a9-88f1-b0045b45dd1f' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line 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style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>atmos_fluxes_HeatFlux_Latent</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-fdef3f67-7320-4699-9c97-290118c2478d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fdef3f67-7320-4699-9c97-290118c2478d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc5e84f1-0b5b-46a5-9bf5-b8e561f7eb4e' class='xr-var-data-in' type='checkbox'><label for='data-bc5e84f1-0b5b-46a5-9bf5-b8e561f7eb4e' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line 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style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>atmos_fluxes_HeatFlux_LongWave</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-bb0b9cb5-b5b3-4781-b2c9-0ec6da99d646' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb0b9cb5-b5b3-4781-b2c9-0ec6da99d646' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af6e7926-a7e4-4d9f-a5ab-e537ef23141d' class='xr-var-data-in' type='checkbox'><label for='data-af6e7926-a7e4-4d9f-a5ab-e537ef23141d' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line 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for='attrs-7e999cc1-630d-4c23-b09c-9112ed379aeb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b127109c-10a5-4508-80ba-b3870007dbbe' class='xr-var-data-in' type='checkbox'><label for='data-b127109c-10a5-4508-80ba-b3870007dbbe' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line 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for='attrs-fd9c5fb3-b4b8-4b3b-bc84-3190359c9bed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a4331de-aeee-4c0d-a2b9-e6fc4d4222c6' class='xr-var-data-in' type='checkbox'><label for='data-1a4331de-aeee-4c0d-a2b9-e6fc4d4222c6' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line 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style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>atmos_fluxes_HeatFlux_Total</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-6f8f277e-4cb6-482f-9830-479a4f4ef3b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f8f277e-4cb6-482f-9830-479a4f4ef3b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cdffb276-f637-4ae4-94c5-e1b0f244ef4c' class='xr-var-data-in' type='checkbox'><label for='data-cdffb276-f637-4ae4-94c5-e1b0f244ef4c' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line 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for='attrs-ab63a1de-03b4-468b-b0e9-c4ccdcfb261a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-baedec1c-f5f1-4683-98cb-00a43494c020' class='xr-var-data-in' type='checkbox'><label for='data-baedec1c-f5f1-4683-98cb-00a43494c020' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line 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for='attrs-b1c7c8e4-f087-491d-9932-e4b6e2ff89c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f14d53e-c3db-4458-b97f-bb6fff9c5ac1' class='xr-var-data-in' type='checkbox'><label for='data-1f14d53e-c3db-4458-b97f-bb6fff9c5ac1' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>atmos_fluxes_stress_y</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-4bf32b53-05cf-4606-9154-4f57484bfa39' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4bf32b53-05cf-4606-9154-4f57484bfa39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89afcc5a-6375-4c99-9453-a95bda5f7609' class='xr-var-data-in' type='checkbox'><label for='data-89afcc5a-6375-4c99-9453-a95bda5f7609' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line 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for='attrs-aa6b0b04-d9d7-48a9-80e6-351492085fba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cd0fe34-f355-43e3-a300-85b0a7e6bf8d' class='xr-var-data-in' type='checkbox'><label for='data-9cd0fe34-f355-43e3-a300-85b0a7e6bf8d' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line 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for='attrs-10944393-42a9-42dc-9f47-c706c5371d20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d21dff9a-5298-4104-8b71-dff1a6a8ef31' class='xr-var-data-in' type='checkbox'><label for='data-d21dff9a-5298-4104-8b71-dff1a6a8ef31' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>specific cloud ice content</dd><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>vgrid :</span></dt><dd>reference</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 11.29 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 90, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 751680 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"2\" x2=\"24\" y2=\"17\" />\n", + " <line x1=\"10\" y1=\"5\" x2=\"24\" y2=\"20\" />\n", + " <line x1=\"10\" y1=\"7\" x2=\"24\" y2=\"22\" />\n", + " <line x1=\"10\" y1=\"10\" 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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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>vertically integrated cloud ice</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vgrid :</span></dt><dd>atmosphere</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" 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y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cllvi</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-c27a0752-dd1a-4e01-b9f4-eca9930bd988' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c27a0752-dd1a-4e01-b9f4-eca9930bd988' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-386090d5-4ee7-4eb7-a47c-2e7d3964d05b' class='xr-var-data-in' type='checkbox'><label for='data-386090d5-4ee7-4eb7-a47c-2e7d3964d05b' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>vertically integrated cloud water</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vgrid :</span></dt><dd>atmosphere</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" 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style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>clw</span></div><div class='xr-var-dims'>(time, level_full, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(7, 9, 65536), meta=np.ndarray></div><input id='attrs-f93f4797-0ff2-4cca-ba71-4e2d0cee6e05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f93f4797-0ff2-4cca-ba71-4e2d0cee6e05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3337775-f491-48ac-8a8e-347f1817e8ae' class='xr-var-data-in' type='checkbox'><label for='data-d3337775-f491-48ac-8a8e-347f1817e8ae' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>specific cloud water content</dd><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>vgrid :</span></dt><dd>reference</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 11.29 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 90, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 751680 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"2\" x2=\"24\" y2=\"17\" />\n", + " <line x1=\"10\" y1=\"5\" x2=\"24\" y2=\"20\" />\n", + " <line x1=\"10\" y1=\"7\" x2=\"24\" y2=\"22\" />\n", + " <line x1=\"10\" y1=\"10\" x2=\"24\" y2=\"25\" />\n", + " <line x1=\"10\" y1=\"12\" x2=\"24\" y2=\"27\" />\n", + " <line x1=\"10\" y1=\"15\" x2=\"24\" y2=\"30\" />\n", + " <line x1=\"10\" y1=\"17\" x2=\"24\" 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:</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>ice concentration in each ice class</dd><dt><span>vgrid :</span></dt><dd>generic_ice</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " 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class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Change in ice mean thickness due to thermodynamic effects</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>vgrid :</span></dt><dd>generic_ice</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type 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" <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dzghalf</span></div><div class='xr-var-dims'>(level_full, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-4efde69b-a149-4827-9977-0b2fabd30733' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4efde69b-a149-4827-9977-0b2fabd30733' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc8da35a-c837-42d5-8e78-96770e247e9a' class='xr-var-data-in' type='checkbox'><label for='data-dc8da35a-c837-42d5-8e78-96770e247e9a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical extent of model full layer</dd><dt><span>standard_name :</span></dt><dd>cell_thickness</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 1.05 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (90, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 144 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">90</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heatOceI</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-bcb9ac7a-633d-479f-b543-972f7ad554c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bcb9ac7a-633d-479f-b543-972f7ad554c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-803aab27-5c07-48d8-be8a-9e5be29ee333' class='xr-var-data-in' type='checkbox'><label for='data-803aab27-5c07-48d8-be8a-9e5be29ee333' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Heat flux to ocean from the ice growth</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>vgrid :</span></dt><dd>generic_ice</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heatOceW</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-584c8b30-c3bd-4f4c-a05f-b4346586a31b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-584c8b30-c3bd-4f4c-a05f-b4346586a31b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05a226ad-b9ce-4d63-91a3-4739f0956502' class='xr-var-data-in' type='checkbox'><label for='data-05a226ad-b9ce-4d63-91a3-4739f0956502' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Heat flux to ocean from the atmosphere</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>vgrid :</span></dt><dd>generic_ice</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heat_content_seaice</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-24a1885c-dd4b-43ef-9185-b6ba51e23f77' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24a1885c-dd4b-43ef-9185-b6ba51e23f77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef74a8ce-7031-444e-8dbf-b1f3964e1277' class='xr-var-data-in' type='checkbox'><label for='data-ef74a8ce-7031-444e-8dbf-b1f3964e1277' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" 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font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heat_content_snow</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-d70e4f38-ac87-4fa8-8e23-859a4dc23067' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d70e4f38-ac87-4fa8-8e23-859a4dc23067' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f2ffded-ff75-437c-9652-e90ff0ddf477' class='xr-var-data-in' type='checkbox'><label for='data-4f2ffded-ff75-437c-9652-e90ff0ddf477' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" 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x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heat_content_total</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-ee478b2f-a33d-4c7e-87c4-8749641d2b8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee478b2f-a33d-4c7e-87c4-8749641d2b8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8947dc2a-21cb-499b-a9c3-70097ffdb495' class='xr-var-data-in' type='checkbox'><label for='data-8947dc2a-21cb-499b-a9c3-70097ffdb495' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" 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<line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hfls</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-c98bd0dc-7d10-4dd6-b9cb-9f088af35d1e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c98bd0dc-7d10-4dd6-b9cb-9f088af35d1e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ba18e2a-12ee-4018-a475-de6660647a21' class='xr-var-data-in' type='checkbox'><label for='data-3ba18e2a-12ee-4018-a475-de6660647a21' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>latent heat flux</dd><dt><span>standard_name :</span></dt><dd>surface_downward_latent_heat_flux</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hfss</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-0dda389d-1c2e-492b-bcd5-c400370bc43b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0dda389d-1c2e-492b-bcd5-c400370bc43b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e90f4f0-7599-49b3-aa6b-b03346087fa4' class='xr-var-data-in' type='checkbox'><label for='data-1e90f4f0-7599-49b3-aa6b-b03346087fa4' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>sensible heat flux</dd><dt><span>standard_name :</span></dt><dd>surface_downward_sensible_heat_flux</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hi</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-d7a4a082-5702-4d47-a410-76a66c3949e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7a4a082-5702-4d47-a410-76a66c3949e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-373e9649-20b1-42c1-8a76-c4b4d5aaeaff' class='xr-var-data-in' type='checkbox'><label for='data-373e9649-20b1-42c1-8a76-c4b4d5aaeaff' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>ice thickness</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>vgrid :</span></dt><dd>generic_ice</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hs</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-f8b8fb41-7907-4278-a137-b93fef90f87d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f8b8fb41-7907-4278-a137-b93fef90f87d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fefa02d8-73c4-44ae-abc1-61cee12c6204' class='xr-var-data-in' type='checkbox'><label for='data-fefa02d8-73c4-44ae-abc1-61cee12c6204' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>snow thickness</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>vgrid :</span></dt><dd>generic_ice</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " 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type='checkbox'><label for='data-90a182f4-6c4a-46fc-9b7b-113d572e8e6b' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Specific humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>vgrid :</span></dt><dd>reference</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 11.29 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 90, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 751680 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"2\" x2=\"24\" y2=\"17\" />\n", + " <line x1=\"10\" y1=\"5\" x2=\"24\" y2=\"20\" />\n", + " <line x1=\"10\" y1=\"7\" x2=\"24\" y2=\"22\" />\n", + " <line x1=\"10\" y1=\"10\" x2=\"24\" y2=\"25\" />\n", + " <line x1=\"10\" y1=\"12\" x2=\"24\" y2=\"27\" />\n", + " <line x1=\"10\" y1=\"15\" x2=\"24\" y2=\"30\" />\n", + " <line x1=\"10\" y1=\"17\" x2=\"24\" y2=\"32\" />\n", + " <line x1=\"10\" y1=\"20\" x2=\"24\" 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</td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hydro_canopy_cond_limited_box</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-21e10bbc-b837-4227-a375-972bb96d9110' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21e10bbc-b837-4227-a375-972bb96d9110' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3037492f-95e3-480e-ad61-bad87f834b74' class='xr-var-data-in' type='checkbox'><label for='data-3037492f-95e3-480e-ad61-bad87f834b74' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>jsbach</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- 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class='xr-var-item'><div class='xr-var-name'><span>hydro_discharge_ocean_box</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-e90a4350-17b3-433f-a27b-8405edc2bea7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e90a4350-17b3-433f-a27b-8405edc2bea7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b7bd676-7be0-4d36-94ec-8fce2746c84c' class='xr-var-data-in' type='checkbox'><label for='data-0b7bd676-7be0-4d36-94ec-8fce2746c84c' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>jsbach</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>m3 s-1</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal 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class='xr-var-item'><div class='xr-var-name'><span>hydro_drainage_box</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-70b10264-5d65-4d3e-a7b5-f64522cd9c22' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70b10264-5d65-4d3e-a7b5-f64522cd9c22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2019cab3-327c-4dcf-a134-fc4cdbec006f' class='xr-var-data-in' type='checkbox'><label for='data-2019cab3-327c-4dcf-a134-fc4cdbec006f' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>jsbach</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- 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<line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hydro_ice_soil_sl_box</span></div><div class='xr-var-dims'>(time, soil_depth_water_level, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(7, 5, 65536), meta=np.ndarray></div><input id='attrs-5a14c32f-1371-4ec0-a2ac-51d0660a2947' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a14c32f-1371-4ec0-a2ac-51d0660a2947' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77a7c82a-02c7-4d7a-874c-1dafaa3eeb08' class='xr-var-data-in' type='checkbox'><label for='data-77a7c82a-02c7-4d7a-874c-1dafaa3eeb08' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>jsbach</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Ice content in soil layers</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>vgrid :</span></dt><dd>soil_depth_water</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 642.07 GiB </td>\n", + " <td> 8.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 5, 3145728) </td>\n", + " <td> (7, 5, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 75168 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", 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id='attrs-93b9f06e-f3ab-4570-b3fe-4381bdebd203' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93b9f06e-f3ab-4570-b3fe-4381bdebd203' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67c8f97e-2d5c-484a-8bcd-ccb4ded9f9e6' class='xr-var-data-in' type='checkbox'><label for='data-67c8f97e-2d5c-484a-8bcd-ccb4ded9f9e6' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>jsbach</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>surface runoff</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" 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65536), meta=np.ndarray></div><input id='attrs-64d828b6-3ac8-4123-b4d6-96df8dc50af1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64d828b6-3ac8-4123-b4d6-96df8dc50af1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-309c4a3a-d557-4a6e-b42d-75f4ab725ea4' class='xr-var-data-in' type='checkbox'><label for='data-309c4a3a-d557-4a6e-b42d-75f4ab725ea4' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>jsbach</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Density of snow on soil</dd><dt><span>units :</span></dt><dd>kg m-3</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" 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x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hydro_transpiration_box</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-9f9737b0-221f-49bd-9698-ca69462d23bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f9737b0-221f-49bd-9698-ca69462d23bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bc8604b-621a-4924-824b-8e568a2b7e9c' class='xr-var-data-in' type='checkbox'><label for='data-8bc8604b-621a-4924-824b-8e568a2b7e9c' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>jsbach</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Transpiration from surface</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line 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class='xr-var-name'><span>hydro_weq_snow_box</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-418c6d4f-3a7d-418f-92ac-a441201c56f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-418c6d4f-3a7d-418f-92ac-a441201c56f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f5a85bb-cba7-4f80-935a-05763f4ff659' class='xr-var-data-in' type='checkbox'><label for='data-4f5a85bb-cba7-4f80-935a-05763f4ff659' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>jsbach</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Water content of snow reservoir on surface</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" 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y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hydro_wtr_soil_sl_box</span></div><div class='xr-var-dims'>(time, soil_depth_water_level, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(7, 5, 65536), meta=np.ndarray></div><input id='attrs-bd5a5d9b-adce-4b75-8f93-3d086905923e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd5a5d9b-adce-4b75-8f93-3d086905923e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51e12b2d-854a-465d-bca9-36309f3cda08' class='xr-var-data-in' type='checkbox'><label for='data-51e12b2d-854a-465d-bca9-36309f3cda08' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>jsbach</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Water content in soil layers</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>vgrid :</span></dt><dd>soil_depth_water</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 642.07 GiB </td>\n", + " <td> 8.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 5, 3145728) </td>\n", + " <td> (7, 5, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 75168 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " 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id='attrs-8da40668-c53a-455d-a7f3-413029c04129' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8da40668-c53a-455d-a7f3-413029c04129' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53ffb930-beb7-403c-b927-fc647b10392d' class='xr-var-data-in' type='checkbox'><label for='data-53ffb930-beb7-403c-b927-fc647b10392d' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>zonal velocity</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" 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id='attrs-0eab4802-400e-4b73-8a19-867ccfc61e10' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0eab4802-400e-4b73-8a19-867ccfc61e10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c769ba37-92fb-4815-9962-8cc7a160c8c2' class='xr-var-data-in' type='checkbox'><label for='data-c769ba37-92fb-4815-9962-8cc7a160c8c2' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>meridional velocity</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" 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x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mlotst</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-63bd06c0-6e06-4042-83f0-7b39d6102f2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63bd06c0-6e06-4042-83f0-7b39d6102f2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ac7da9d-19d5-4d82-a904-f0f555c8b301' class='xr-var-data-in' type='checkbox'><label for='data-9ac7da9d-19d5-4d82-a904-f0f555c8b301' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>standard_name :</span></dt><dd>ocean_mixed_layer_thickness_defined_by_sigma_t</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>newice</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-b397c899-444a-44f8-8298-265d93e9b322' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b397c899-444a-44f8-8298-265d93e9b322' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cb5dd25-9082-427b-b000-e9dc275b8f7b' class='xr-var-data-in' type='checkbox'><label for='data-6cb5dd25-9082-427b-b000-e9dc275b8f7b' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>new ice growth in open water</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_fraction_depth_full</span></div><div class='xr-var-dims'>(depth_full, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(9, 196608), meta=np.ndarray></div><input id='attrs-a3f5da9b-c44a-4cbe-9981-910969d16e4e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3f5da9b-c44a-4cbe-9981-910969d16e4e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6a38add-633b-44aa-ac7b-a46dfd5f6c49' class='xr-var-data-in' type='checkbox'><label for='data-a6a38add-633b-44aa-ac7b-a46dfd5f6c49' 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>fraction of cell covered by ocean</dd><dt><span>standard_name :</span></dt><dd>ocean_area_fraction</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 864.00 MiB </td>\n", + " <td> 6.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (72, 3145728) </td>\n", + " <td> (9, 196608) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 128 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"15\" x2=\"120\" y2=\"15\" />\n", + " <line x1=\"0\" y1=\"19\" x2=\"120\" y2=\"19\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"7\" y1=\"0\" x2=\"7\" y2=\"25\" />\n", + " <line x1=\"15\" y1=\"0\" x2=\"15\" y2=\"25\" />\n", + " <line x1=\"22\" y1=\"0\" x2=\"22\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"45\" y1=\"0\" x2=\"45\" y2=\"25\" />\n", + " <line x1=\"52\" y1=\"0\" x2=\"52\" y2=\"25\" />\n", + " <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"82\" y1=\"0\" x2=\"82\" y2=\"25\" />\n", + " <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"25\" />\n", + " <line x1=\"97\" y1=\"0\" x2=\"97\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">72</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_fraction_depth_half</span></div><div class='xr-var-dims'>(depth_half, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(11, 196608), meta=np.ndarray></div><input id='attrs-8caef11a-d587-4e09-953d-3a2965b4d077' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8caef11a-d587-4e09-953d-3a2965b4d077' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18583252-cfe8-4ef4-ac38-8c8fef5e5ee0' class='xr-var-data-in' type='checkbox'><label for='data-18583252-cfe8-4ef4-ac38-8c8fef5e5ee0' 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>fraction of cell covered by ocean</dd><dt><span>standard_name :</span></dt><dd>ocean_area_fraction</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 876.00 MiB </td>\n", + " <td> 8.25 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (73, 3145728) </td>\n", + " <td> (11, 196608) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 112 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" 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/>\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"82\" y1=\"0\" x2=\"82\" y2=\"25\" />\n", + " <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"25\" />\n", + " <line x1=\"97\" y1=\"0\" x2=\"97\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">73</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_fraction_surface</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3145728,), meta=np.ndarray></div><input id='attrs-e6713dd3-960d-4d0f-b27c-416d6c4ad4b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6713dd3-960d-4d0f-b27c-416d6c4ad4b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bae47772-8f75-4fd2-9f10-7ee65031ef3f' class='xr-var-data-in' type='checkbox'><label for='data-bae47772-8f75-4fd2-9f10-7ee65031ef3f' 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>fraction of cell covered by ocean</dd><dt><span>standard_name :</span></dt><dd>ocean_area_fraction</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 12.00 MiB </td>\n", + " <td> 12.00 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (3145728,) </td>\n", + " <td> (3145728,) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 1 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" 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class='xr-var-preview xr-preview'>dask.array<chunksize=(7, 9, 65536), meta=np.ndarray></div><input id='attrs-8abf43ff-16ee-4a04-bb7c-1db93e8dfe8e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8abf43ff-16ee-4a04-bb7c-1db93e8dfe8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e45628e-0c82-4b0f-881b-c2065617bee9' class='xr-var-data-in' type='checkbox'><label for='data-1e45628e-0c82-4b0f-881b-c2065617bee9' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>vgrid :</span></dt><dd>reference</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 11.29 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 90, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 751680 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"2\" 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xlink:href='#icon-file-text2'></use></svg></label><input id='data-2405a9fa-501c-46a4-b7a2-dfd630482828' class='xr-var-data-in' type='checkbox'><label for='data-2405a9fa-501c-46a4-b7a2-dfd630482828' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>vgrid :</span></dt><dd>reference_half</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 11.41 TiB </td>\n", + " <td> 19.25 MiB 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</tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-a7dd0ba3-5c3c-4397-8420-b920614da6d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7dd0ba3-5c3c-4397-8420-b920614da6d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d985a79d-ddb5-43f0-9e70-31bf48b14266' class='xr-var-data-in' type='checkbox'><label for='data-d985a79d-ddb5-43f0-9e70-31bf48b14266' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>precipitation flux</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" 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"</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pres_msl</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-30bca0af-9701-434d-8d19-f5e8874c33f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30bca0af-9701-434d-8d19-f5e8874c33f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f7f0f2c-0831-4526-bc44-4d358cc1758e' class='xr-var-data-in' type='checkbox'><label for='data-7f7f0f2c-0831-4526-bc44-4d358cc1758e' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>mean sea level pressure</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>vgrid :</span></dt><dd>meansea</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " 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transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pres_sfc</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-ece856ad-c704-46be-9987-cb997fe89445' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ece856ad-c704-46be-9987-cb997fe89445' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d90239c-3acd-40dc-9ff1-f47466e413cf' class='xr-var-data-in' type='checkbox'><label for='data-7d90239c-3acd-40dc-9ff1-f47466e413cf' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>surface pressure</dd><dt><span>standard_name :</span></dt><dd>surface_air_pressure</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " 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y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>prls</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-a83b7e3d-2907-49f7-83a7-cb2ae45d290c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a83b7e3d-2907-49f7-83a7-cb2ae45d290c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-502c9617-721b-4b0e-a3b1-5e562f040838' class='xr-var-data-in' type='checkbox'><label for='data-502c9617-721b-4b0e-a3b1-5e562f040838' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" 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/>\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>prw</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-d225183e-b186-49f5-9edf-e6e052080504' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d225183e-b186-49f5-9edf-e6e052080504' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bbd2bf2a-3998-4fab-97e1-3d02031ee872' class='xr-var-data-in' type='checkbox'><label for='data-bbd2bf2a-3998-4fab-97e1-3d02031ee872' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>vertically integrated water vapour</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vgrid :</span></dt><dd>atmosphere</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" 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class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>specific graupel content</dd><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>vgrid :</span></dt><dd>reference</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 11.29 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 90, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 751680 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"2\" x2=\"24\" y2=\"17\" />\n", + " <line x1=\"10\" y1=\"5\" x2=\"24\" y2=\"20\" />\n", + " <line x1=\"10\" y1=\"7\" x2=\"24\" y2=\"22\" />\n", + " <line x1=\"10\" y1=\"10\" x2=\"24\" y2=\"25\" />\n", + " <line x1=\"10\" y1=\"12\" x2=\"24\" y2=\"27\" />\n", + " <line x1=\"10\" y1=\"15\" x2=\"24\" y2=\"30\" />\n", + " <line x1=\"10\" y1=\"17\" x2=\"24\" y2=\"32\" />\n", + " <line x1=\"10\" y1=\"20\" x2=\"24\" y2=\"35\" />\n", + " <line x1=\"10\" y1=\"22\" x2=\"24\" y2=\"37\" />\n", + " <line x1=\"10\" y1=\"25\" x2=\"24\" y2=\"40\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line 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class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-4e628891-4f05-4752-88d7-a0b3707ec61c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e628891-4f05-4752-88d7-a0b3707ec61c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-704828ad-617e-46da-9c6f-8f8a88d1e7ba' class='xr-var-data-in' type='checkbox'><label for='data-704828ad-617e-46da-9c6f-8f8a88d1e7ba' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>vertically integrated graupel</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vgrid :</span></dt><dd>atmosphere</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" 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class='xr-var-dims'>(time, level_full, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(7, 9, 65536), meta=np.ndarray></div><input id='attrs-e4e86085-f0e7-4331-bb52-5df72a4ecaa6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4e86085-f0e7-4331-bb52-5df72a4ecaa6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be4bface-8b93-4f01-b753-55581f8ec6ba' class='xr-var-data-in' type='checkbox'><label for='data-be4bface-8b93-4f01-b753-55581f8ec6ba' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>specific rain content</dd><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>vgrid :</span></dt><dd>reference</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 11.29 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 90, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 751680 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal 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title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fb37e12-b91c-40e0-b89e-3fd1b4dc1a2a' class='xr-var-data-in' type='checkbox'><label for='data-7fb37e12-b91c-40e0-b89e-3fd1b4dc1a2a' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>vertically integrated rain</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vgrid :</span></dt><dd>atmosphere</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" 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" </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 11.29 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 90, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 751680 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"2\" x2=\"24\" y2=\"17\" />\n", + " <line x1=\"10\" y1=\"5\" x2=\"24\" y2=\"20\" />\n", + " <line x1=\"10\" y1=\"7\" x2=\"24\" y2=\"22\" />\n", + " <line x1=\"10\" y1=\"10\" x2=\"24\" 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class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>vertically integrated snow</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vgrid :</span></dt><dd>atmosphere</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " 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font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qv2m</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-daab58fa-8b70-4f33-bb56-a16db7d51ac9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-daab58fa-8b70-4f33-bb56-a16db7d51ac9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57edf985-a556-4809-af1d-e26f45eb02ec' class='xr-var-data-in' type='checkbox'><label for='data-57edf985-a556-4809-af1d-e26f45eb02ec' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>specific humidity in 2m</dd><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>vgrid :</span></dt><dd>height_2m</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" 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y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rlds</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-23db13f3-8f5a-46f1-bd18-cc9b182da42c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23db13f3-8f5a-46f1-bd18-cc9b182da42c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-608690b7-d242-4eb4-ad6e-9d2888941dc7' class='xr-var-data-in' type='checkbox'><label for='data-608690b7-d242-4eb4-ad6e-9d2888941dc7' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>surface downwelling longwave radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_longwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line 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120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rlus</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-5a1659f7-d297-4820-9741-526af4e13eac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a1659f7-d297-4820-9741-526af4e13eac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6d20a4f-4e56-4ea6-b0eb-4ef78a73e0bb' class='xr-var-data-in' type='checkbox'><label for='data-f6d20a4f-4e56-4ea6-b0eb-4ef78a73e0bb' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>surface upwelling longwave radiation</dd><dt><span>standard_name :</span></dt><dd>surface_upwelling_longwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" 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<line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rlut</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-ce9f2344-0144-4070-9808-ea23a86c347e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce9f2344-0144-4070-9808-ea23a86c347e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52681f22-86fb-451c-b709-d287199b84b0' class='xr-var-data-in' type='checkbox'><label for='data-52681f22-86fb-451c-b709-d287199b84b0' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>toa outgoing longwave radiation</dd><dt><span>standard_name :</span></dt><dd>toa_outgoing_longwave_flux</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vgrid :</span></dt><dd>toa</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" 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x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-0f214ebf-b3e9-4783-b37e-bab114a32c08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f214ebf-b3e9-4783-b37e-bab114a32c08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f0398ed-45a4-42f3-a3b9-1034449a1091' class='xr-var-data-in' type='checkbox'><label for='data-7f0398ed-45a4-42f3-a3b9-1034449a1091' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>surface downwelling shortwave radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" 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y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsdt</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-ae716839-8496-405c-8700-e48d7e57dd08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae716839-8496-405c-8700-e48d7e57dd08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d4f8759-acdf-495a-9276-5aec25d80467' class='xr-var-data-in' type='checkbox'><label for='data-8d4f8759-acdf-495a-9276-5aec25d80467' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>toa incident shortwave radiation</dd><dt><span>standard_name :</span></dt><dd>toa_incoming_shortwave_flux</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vgrid :</span></dt><dd>toa</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" 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:</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>surface upwelling shortwave radiation</dd><dt><span>standard_name :</span></dt><dd>surface_upwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" 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class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>toa outgoing shortwave radiation</dd><dt><span>standard_name :</span></dt><dd>toa_outgoing_shortwave_flux</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vgrid :</span></dt><dd>toa</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" 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for='data-0aa20e31-3f54-47c3-81e5-e9d38c8b65ea' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>jsbach</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>additional heat flux at surface</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" 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id='data-fdedc889-9656-42c6-a741-51b1d11daeb6' class='xr-var-data-in' type='checkbox'><label for='data-fdedc889-9656-42c6-a741-51b1d11daeb6' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>jsbach</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>surface layer heat capacity</dd><dt><span>units :</span></dt><dd>J m-2 K-1</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + 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120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sfcwind</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-eec15745-f1cc-467c-889e-3c82a2f845f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eec15745-f1cc-467c-889e-3c82a2f845f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c049670b-3c71-4b96-a321-db466f95a810' class='xr-var-data-in' type='checkbox'><label for='data-c049670b-3c71-4b96-a321-db466f95a810' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>10m windspeed</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>vgrid :</span></dt><dd>height_10m</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" 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xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fa68aa6-519f-4759-b2be-81907f9186d3' class='xr-var-data-in' type='checkbox'><label for='data-7fa68aa6-519f-4759-b2be-81907f9186d3' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>fraction of ocean covered by sea ice</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" 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xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed213da6-d343-4865-bd3b-9a3db9b20e92' class='xr-var-data-in' type='checkbox'><label for='data-ed213da6-d343-4865-bd3b-9a3db9b20e92' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>sea ice thickness</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + 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xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b78d3ff-c463-499d-bad7-13f52f942b87' class='xr-var-data-in' type='checkbox'><label for='data-0b78d3ff-c463-499d-bad7-13f52f942b87' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>amount of snow that is transformed to ice</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>vgrid :</span></dt><dd>generic_ice</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>so</span></div><div class='xr-var-dims'>(time, depth_full, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(7, 9, 65536), meta=np.ndarray></div><input id='attrs-4c12b6ae-c49b-46e6-a748-e0e704e12f70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c12b6ae-c49b-46e6-a748-e0e704e12f70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-959e3c67-6043-4636-8115-a1ccecbb3238' class='xr-var-data-in' type='checkbox'><label for='data-959e3c67-6043-4636-8115-a1ccecbb3238' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>sea water salinity</dd><dt><span>standard_name :</span></dt><dd>sea_water_salinity</dd><dt><span>units :</span></dt><dd>psu</dd><dt><span>vgrid :</span></dt><dd>depth_below_sea</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 9.03 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 72, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 601344 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"3\" x2=\"24\" y2=\"18\" />\n", + " <line x1=\"10\" y1=\"6\" x2=\"24\" y2=\"21\" />\n", + " <line x1=\"10\" y1=\"9\" x2=\"24\" 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:</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>jsbach</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Ground heat flux (old)</dd><dt><span>units :</span></dt><dd>J m-2 s-1</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" 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font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sse_t_soil_sl_box</span></div><div class='xr-var-dims'>(time, soil_depth_energy_level, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(7, 5, 65536), meta=np.ndarray></div><input id='attrs-451cbfe9-4bca-46b8-ba05-12c8252429ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-451cbfe9-4bca-46b8-ba05-12c8252429ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58b08a63-2971-43dc-b3cb-f943c0ab7677' class='xr-var-data-in' type='checkbox'><label for='data-58b08a63-2971-43dc-b3cb-f943c0ab7677' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>jsbach</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>standard_name :</span></dt><dd>soil_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>vgrid :</span></dt><dd>soil_depth_energy</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 642.07 GiB </td>\n", + " <td> 8.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 5, 3145728) </td>\n", + " <td> (7, 5, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 75168 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"25\" x2=\"24\" y2=\"40\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"26\" />\n", + " <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"26\" />\n", + " <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"27\" />\n", + " <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"28\" />\n", + " <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"29\" />\n", + " <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"30\" />\n", + " <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"30\" />\n", 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class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-0e90e6de-3f8d-4abb-b8fb-15a0b97bc2c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e90e6de-3f8d-4abb-b8fb-15a0b97bc2c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4296a610-32c4-4018-a5e9-4bc178af9579' class='xr-var-data-in' type='checkbox'><label for='data-4296a610-32c4-4018-a5e9-4bc178af9579' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>zstar surface stretch at cell center</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" 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class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, level_full, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(7, 9, 65536), meta=np.ndarray></div><input id='attrs-173e719b-7b02-4e3a-bcb3-1666647b080d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-173e719b-7b02-4e3a-bcb3-1666647b080d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2bb15d0-cdb5-4f3b-b25a-02acd9726089' class='xr-var-data-in' type='checkbox'><label for='data-e2bb15d0-cdb5-4f3b-b25a-02acd9726089' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>vgrid :</span></dt><dd>reference</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 11.29 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 90, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 751680 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" 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class='xr-var-attrs-in' type='checkbox' ><label for='attrs-573a49d3-e032-4e0c-acd8-8d74c1580b62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d9a1e9c-254d-4914-aae1-e01c4950e084' class='xr-var-data-in' type='checkbox'><label for='data-2d9a1e9c-254d-4914-aae1-e01c4950e084' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>temperature in 2m</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>vgrid :</span></dt><dd>height_2m</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line 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x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tauu</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-8b0ba368-59b2-4540-b500-2f2be4bf8791' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b0ba368-59b2-4540-b500-2f2be4bf8791' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57c418d7-aa28-4e89-bed7-eece29d45660' class='xr-var-data-in' type='checkbox'><label for='data-57c418d7-aa28-4e89-bed7-eece29d45660' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>u-momentum flux at the surface</dd><dt><span>units :</span></dt><dd>N m-2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" 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y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tauv</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-1c7b19eb-ce86-45f4-88f2-fb9dc8299b67' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c7b19eb-ce86-45f4-88f2-fb9dc8299b67' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e92bdb8b-b981-4a92-87c0-bc610771aa3e' class='xr-var-data-in' type='checkbox'><label for='data-e92bdb8b-b981-4a92-87c0-bc610771aa3e' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>v-momentum flux at the surface</dd><dt><span>units :</span></dt><dd>N m-2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" 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x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" 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class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(7, 11, 65536), meta=np.ndarray></div><input id='attrs-e38eb284-9b4f-441c-a72c-b0fe2818e02e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e38eb284-9b4f-441c-a72c-b0fe2818e02e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1c43be3-3d55-4799-b361-efc52ebe4c2f' class='xr-var-data-in' type='checkbox'><label for='data-c1c43be3-3d55-4799-b361-efc52ebe4c2f' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>turbulent kinetic energy</dd><dt><span>units :</span></dt><dd>m2 s-2</dd><dt><span>vgrid :</span></dt><dd>depth_below_sea_half</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 9.15 TiB </td>\n", + " <td> 19.25 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 73, 3145728) </td>\n", + " <td> (7, 11, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 526176 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" 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y=\"52.886915\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,52.886915)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>to</span></div><div class='xr-var-dims'>(time, depth_full, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(7, 9, 65536), meta=np.ndarray></div><input id='attrs-63f9e2e9-1186-418b-8cc4-182944bd81f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63f9e2e9-1186-418b-8cc4-182944bd81f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a965b1b7-50a6-4ffc-a90e-5c8f6921b3aa' class='xr-var-data-in' type='checkbox'><label for='data-a965b1b7-50a6-4ffc-a90e-5c8f6921b3aa' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>sea water potential temperature</dd><dt><span>standard_name :</span></dt><dd>sea_water_potential_temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>vgrid :</span></dt><dd>depth_below_sea</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 9.03 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 72, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 601344 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"3\" x2=\"24\" y2=\"18\" />\n", + " <line x1=\"10\" y1=\"6\" x2=\"24\" y2=\"21\" />\n", + " <line x1=\"10\" y1=\"9\" x2=\"24\" y2=\"24\" />\n", + " <line x1=\"10\" y1=\"12\" x2=\"24\" y2=\"27\" />\n", + " <line x1=\"10\" y1=\"15\" x2=\"24\" y2=\"30\" />\n", + " <line x1=\"10\" y1=\"19\" x2=\"24\" y2=\"34\" />\n", + " <line x1=\"10\" y1=\"22\" x2=\"24\" y2=\"37\" />\n", + " <line x1=\"10\" y1=\"25\" x2=\"24\" y2=\"40\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines 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meta=np.ndarray></div><input id='attrs-1186f036-b236-4b24-8719-33413a824c1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1186f036-b236-4b24-8719-33413a824c1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27b67f2d-c7ae-460c-a74b-2636af2e8118' class='xr-var-data-in' type='checkbox'><label for='data-27b67f2d-c7ae-460c-a74b-2636af2e8118' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>surface temperature</dd><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" 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x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" 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class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(7, 9, 65536), meta=np.ndarray></div><input id='attrs-3e254e7e-a51a-4401-9188-1f02c9980fab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e254e7e-a51a-4401-9188-1f02c9980fab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19038faa-73ea-4516-9c99-0fedc9ea2b63' class='xr-var-data-in' type='checkbox'><label for='data-19038faa-73ea-4516-9c99-0fedc9ea2b63' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>u zonal velocity component</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>vgrid :</span></dt><dd>depth_below_sea</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 9.03 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 72, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 601344 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" 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class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>vertically integrated barotropic zonal velocity</dd><dt><span>units :</span></dt><dd>m2 s-1</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" 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y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ua</span></div><div class='xr-var-dims'>(time, level_full, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(7, 9, 65536), meta=np.ndarray></div><input id='attrs-6e584ee6-c273-4df0-a5a3-8e0a719a6d61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e584ee6-c273-4df0-a5a3-8e0a719a6d61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d677f9a1-527b-4bc8-9d61-0b06c1b75b31' class='xr-var-data-in' type='checkbox'><label for='data-d677f9a1-527b-4bc8-9d61-0b06c1b75b31' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Zonal wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>vgrid :</span></dt><dd>reference</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 11.29 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 90, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 751680 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"2\" x2=\"24\" y2=\"17\" />\n", + " <line x1=\"10\" y1=\"5\" x2=\"24\" y2=\"20\" />\n", + " <line x1=\"10\" y1=\"7\" x2=\"24\" y2=\"22\" />\n", + " <line x1=\"10\" y1=\"10\" x2=\"24\" y2=\"25\" />\n", + " <line x1=\"10\" y1=\"12\" x2=\"24\" y2=\"27\" />\n", + " <line x1=\"10\" y1=\"15\" x2=\"24\" y2=\"30\" />\n", + " <line x1=\"10\" y1=\"17\" x2=\"24\" y2=\"32\" />\n", + " <line x1=\"10\" y1=\"20\" 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"</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-ed46b21e-ca7d-4ce9-8547-5f372ea10524' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed46b21e-ca7d-4ce9-8547-5f372ea10524' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45dbad4b-6376-4862-b628-d49aab5cbee0' class='xr-var-data-in' type='checkbox'><label for='data-45dbad4b-6376-4862-b628-d49aab5cbee0' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>zonal wind in 10m</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>vgrid :</span></dt><dd>height_10m</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " 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transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v</span></div><div class='xr-var-dims'>(time, depth_full, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(7, 9, 65536), meta=np.ndarray></div><input id='attrs-f1dc6d3a-e6ea-400c-b68d-5015d3714aa0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1dc6d3a-e6ea-400c-b68d-5015d3714aa0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcc04daa-d662-4524-927c-520f25ee55b4' class='xr-var-data-in' type='checkbox'><label for='data-fcc04daa-d662-4524-927c-520f25ee55b4' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>v meridional velocity component</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>vgrid :</span></dt><dd>depth_below_sea</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 9.03 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 72, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 601344 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray 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xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56df6b09-f883-4f5e-a56e-41282026d591' class='xr-var-data-in' type='checkbox'><label for='data-56df6b09-f883-4f5e-a56e-41282026d591' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>vertically integrated meridional zonal velocity</dd><dt><span>units :</span></dt><dd>m2 s-1</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line 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for='attrs-e9a8e9e9-b161-4f43-ae32-f3da3f542356' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01414f49-1aa1-4a98-bf2e-7269cf6b06e2' class='xr-var-data-in' type='checkbox'><label for='data-01414f49-1aa1-4a98-bf2e-7269cf6b06e2' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Meridional wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>vgrid :</span></dt><dd>reference</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 11.29 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 90, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 751680 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"2\" x2=\"24\" y2=\"17\" />\n", + " <line x1=\"10\" y1=\"5\" x2=\"24\" y2=\"20\" />\n", + " <line x1=\"10\" y1=\"7\" x2=\"24\" y2=\"22\" 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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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>meridional wind in 10m</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>vgrid :</span></dt><dd>height_10m</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" 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y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>w</span></div><div class='xr-var-dims'>(time, depth_half, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(7, 11, 65536), meta=np.ndarray></div><input id='attrs-53b5a1c4-dd12-4ba4-b920-47a48b6e3fca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53b5a1c4-dd12-4ba4-b920-47a48b6e3fca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c41079e-753c-43a6-9201-b66dfe124603' class='xr-var-data-in' type='checkbox'><label for='data-7c41079e-753c-43a6-9201-b66dfe124603' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>vertical velocity at cells</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>vgrid :</span></dt><dd>depth_below_sea_half</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 9.15 TiB </td>\n", + " <td> 19.25 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 73, 3145728) </td>\n", + " <td> (7, 11, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 526176 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"3\" x2=\"24\" y2=\"18\" />\n", + " <line x1=\"10\" y1=\"7\" x2=\"24\" y2=\"22\" />\n", + " <line x1=\"10\" y1=\"11\" x2=\"24\" y2=\"26\" />\n", + " <line x1=\"10\" y1=\"15\" x2=\"24\" y2=\"30\" />\n", + " <line x1=\"10\" y1=\"19\" x2=\"24\" y2=\"34\" />\n", + " <line x1=\"10\" y1=\"22\" x2=\"24\" y2=\"37\" />\n", + " <line x1=\"10\" y1=\"25\" x2=\"24\" y2=\"40\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " 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id='attrs-d6d2c97d-a6ab-4d45-b43b-79838917b2d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6d2c97d-a6ab-4d45-b43b-79838917b2d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbbc0c03-d30c-4e7b-9492-3f79d0feb46e' class='xr-var-data-in' type='checkbox'><label for='data-cbbc0c03-d30c-4e7b-9492-3f79d0feb46e' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>vertical velocity</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>vgrid :</span></dt><dd>reference_half</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 11.41 TiB </td>\n", + " <td> 22.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 91, 3145728) </td>\n", + " <td> (7, 13, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 526176 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"3\" x2=\"24\" y2=\"18\" />\n", + " <line x1=\"10\" y1=\"7\" x2=\"24\" y2=\"22\" />\n", + " <line 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" <line x1=\"129\" y1=\"14\" x2=\"129\" y2=\"40\" />\n", + " <line x1=\"137\" y1=\"14\" x2=\"137\" y2=\"40\" />\n", + " <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"40\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"24.948597949754408,14.948597949754406 144.9485979497544,14.948597949754406 144.9485979497544,40.36121446433689 24.948597949754408,40.36121446433689\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"84.948598\" y=\"60.361214\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"164.948598\" y=\"27.654906\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,164.948598,27.654906)\">91</text>\n", + " <text x=\"7.474299\" y=\"52.886915\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,52.886915)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zg</span></div><div class='xr-var-dims'>(level_full, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-21350421-9870-4c36-b957-86613aaf5ec1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21350421-9870-4c36-b957-86613aaf5ec1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09787979-2f08-4910-9082-726f8da92233' class='xr-var-data-in' type='checkbox'><label for='data-09787979-2f08-4910-9082-726f8da92233' 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>geometric height at full level center</dd><dt><span>standard_name :</span></dt><dd>height</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 1.05 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (90, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 144 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">90</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zghalf</span></div><div class='xr-var-dims'>(level_half, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(31, 65536), meta=np.ndarray></div><input id='attrs-e70d0391-fe11-4acd-9ee6-18f28cdb1088' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e70d0391-fe11-4acd-9ee6-18f28cdb1088' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f70515c5-bc75-4608-bd70-9522c55a9985' class='xr-var-data-in' type='checkbox'><label for='data-f70515c5-bc75-4608-bd70-9522c55a9985' 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>geometric height at half level center</dd><dt><span>standard_name :</span></dt><dd>height</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 1.07 GiB </td>\n", + " <td> 7.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (91, 3145728) </td>\n", + " <td> (31, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 144 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">91</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zos</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-5cfa5c09-f898-4d2a-a037-8c7f4b8b74bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5cfa5c09-f898-4d2a-a037-8c7f4b8b74bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eaa77ebe-5b3d-4ac4-8229-015de793bc5f' class='xr-var-data-in' type='checkbox'><label for='data-eaa77ebe-5b3d-4ac4-8229-015de793bc5f' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>zstar sfc elevation at cell center</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-ae213a50-068b-48f9-b6bc-3636b6d0c84d' class='xr-section-summary-in' type='checkbox' ><label for='section-ae213a50-068b-48f9-b6bc-3636b6d0c84d' class='xr-section-summary' >Indexes: <span>(8)</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>crs</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a535a1e2-d5e9-46f7-a8f9-1e72b0e4a3ff' class='xr-index-data-in' type='checkbox'/><label for='index-a535a1e2-d5e9-46f7-a8f9-1e72b0e4a3ff' 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([nan], dtype='float32', name='crs'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>depth_full</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7a80eec3-61f8-4c6a-890c-97ecd2db4498' class='xr-index-data-in' type='checkbox'/><label for='index-7a80eec3-61f8-4c6a-890c-97ecd2db4498' 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([ 1.0, 3.0999999046325684, 5.449999809265137,\n", + " 8.100000381469727, 11.050000190734863, 14.350000381469727,\n", + " 18.049999237060547, 22.200000762939453, 26.850000381469727,\n", + " 32.0, 37.650001525878906, 43.79999923706055,\n", + " 50.54999923706055, 57.95000076293945, 66.0,\n", + " 74.80000305175781, 84.44999694824219, 95.0,\n", + " 106.5, 119.0999984741211, 132.89999389648438,\n", + " 147.9499969482422, 164.35000610351562, 182.25,\n", + " 201.8000030517578, 223.14999389648438, 246.4499969482422,\n", + " 271.8500061035156, 299.54998779296875, 329.75,\n", + " 362.6499938964844, 398.45001220703125, 437.3999938964844,\n", + " 479.25, 523.4500122070312, 569.5,\n", + " 617.0999755859375, 666.2999877929688, 717.1500244140625,\n", + " 769.7000122070312, 824.0, 880.0999755859375,\n", + " 938.0499877929688, 997.9000244140625, 1059.75,\n", + " 1124.5, 1194.0999755859375, 1270.699951171875,\n", + " 1356.300048828125, 1451.699951171875, 1556.800048828125,\n", + " 1671.949951171875, 1796.449951171875, 1929.5,\n", + " 2071.39990234375, 2222.449951171875, 2382.89990234375,\n", + " 2552.89990234375, 2732.5, 2921.75,\n", + " 3120.60009765625, 3328.85009765625, 3546.25,\n", + " 3772.449951171875, 4006.949951171875, 4249.14990234375,\n", + " 4498.2998046875, 4753.5498046875, 5014.0,\n", + " 5278.60009765625, 5546.25, 5815.75],\n", + " dtype='float32', name='depth_full'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>depth_half</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4febc73d-4229-4494-84dc-b9d5384f3c4c' class='xr-index-data-in' type='checkbox'/><label for='index-4febc73d-4229-4494-84dc-b9d5384f3c4c' 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, 2.0, 4.199999809265137,\n", + " 6.699999809265137, 9.5, 12.600000381469727,\n", + " 16.100000381469727, 20.0, 24.399999618530273,\n", + " 29.299999237060547, 34.70000076293945, 40.599998474121094,\n", + " 47.0, 54.099998474121094, 61.79999923706055,\n", + " 70.19999694824219, 79.4000015258789, 89.5,\n", + " 100.5, 112.5, 125.69999694824219,\n", + " 140.10000610351562, 155.8000030517578, 172.89999389648438,\n", + " 191.60000610351562, 212.0, 234.3000030517578,\n", + " 258.6000061035156, 285.1000061035156, 314.0,\n", + " 345.5, 379.79998779296875, 417.1000061035156,\n", + " 457.70001220703125, 500.79998779296875, 546.0999755859375,\n", + " 592.9000244140625, 641.2999877929688, 691.2999877929688,\n", + " 743.0, 796.4000244140625, 851.5999755859375,\n", + " 908.5999755859375, 967.5, 1028.300048828125,\n", + " 1091.199951171875, 1157.800048828125, 1230.4000244140625,\n", + " 1311.0, 1401.5999755859375, 1501.800048828125,\n", + " 1611.800048828125, 1732.0999755859375, 1860.800048828125,\n", + " 1998.199951171875, 2144.60009765625, 2300.300048828125,\n", + " 2465.5, 2640.300048828125, 2824.699951171875,\n", + " 3018.800048828125, 3222.39990234375, 3435.300048828125,\n", + " 3657.199951171875, 3887.699951171875, 4126.2001953125,\n", + " 4372.10009765625, 4624.5, 4882.60009765625,\n", + " 5145.39990234375, 5411.7998046875, 5680.7001953125,\n", + " 5950.7998046875],\n", + " dtype='float32', name='depth_half'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>level_full</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3158bc92-b110-49a0-9e32-0ba6112b62d4' class='xr-index-data-in' type='checkbox'/><label for='index-3158bc92-b110-49a0-9e32-0ba6112b62d4' 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([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18,\n", + " 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36,\n", + " 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54,\n", + " 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72,\n", + " 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90],\n", + " dtype='int32', name='level_full'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>level_half</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e1bff636-e9a4-4f58-b2ac-1694d258eedd' class='xr-index-data-in' type='checkbox'/><label for='index-e1bff636-e9a4-4f58-b2ac-1694d258eedd' 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([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18,\n", + " 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36,\n", + " 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54,\n", + " 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72,\n", + " 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90,\n", + " 91],\n", + " dtype='int32', name='level_half'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>soil_depth_energy_level</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c2d22681-b402-4948-a7e2-4f1deb75e090' class='xr-index-data-in' type='checkbox'/><label for='index-c2d22681-b402-4948-a7e2-4f1deb75e090' 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([0.032499998807907104, 0.19200000166893005, 0.7754999995231628,\n", + " 2.683000087738037, 6.984000205993652],\n", + " dtype='float32', name='soil_depth_energy_level'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>soil_depth_water_level</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7e947235-de05-4578-b75e-774955350eab' class='xr-index-data-in' type='checkbox'/><label for='index-7e947235-de05-4578-b75e-774955350eab' 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([0.032499998807907104, 0.19200000166893005, 0.7754999995231628,\n", + " 2.683000087738037, 6.984000205993652],\n", + " dtype='float32', name='soil_depth_water_level'))</pre></div></li><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-ae2fe4c1-8051-4c31-9bb0-77385be3eaf8' class='xr-index-data-in' type='checkbox'/><label for='index-ae2fe4c1-8051-4c31-9bb0-77385be3eaf8' 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(['2020-01-02', '2020-01-03', '2020-01-04', '2020-01-05',\n", + " '2020-01-06', '2020-01-07', '2020-01-08', '2020-01-09',\n", + " '2020-01-10', '2020-01-11',\n", + " ...\n", + " '2049-12-23', '2049-12-24', '2049-12-25', '2049-12-26',\n", + " '2049-12-27', '2049-12-28', '2049-12-29', '2049-12-30',\n", + " '2049-12-31', '2050-01-01'],\n", + " dtype='datetime64[ns]', name='time', length=10958, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-320df53b-49d4-4937-8127-6e232626d3f2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-320df53b-49d4-4937-8127-6e232626d3f2' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>" + ], + "text/plain": [ + "<xarray.Dataset> Size: 232TB\n", + "Dimensions: (time: 10958, depth_half: 73,\n", + " cell: 3145728, level_full: 90,\n", + " crs: 1, depth_full: 72,\n", + " soil_depth_water_level: 5,\n", + " level_half: 91,\n", + " soil_depth_energy_level: 5)\n", + "Coordinates:\n", + " * crs (crs) float32 4B nan\n", + " * depth_full (depth_full) float32 288B 1.0 ... 5....\n", + " * depth_half (depth_half) float32 292B 0.0 ... 5....\n", + " * level_full (level_full) int32 360B 1 2 3 ... 89 90\n", + " * level_half (level_half) int32 364B 1 2 3 ... 90 91\n", + " * soil_depth_energy_level (soil_depth_energy_level) float32 20B ...\n", + " * soil_depth_water_level (soil_depth_water_level) float32 20B ...\n", + " * time (time) datetime64[ns] 88kB 2020-01-0...\n", + "Dimensions without coordinates: cell\n", + "Data variables: (12/103)\n", + " A_tracer_v_to (time, depth_half, cell) float32 10TB dask.array<chunksize=(7, 11, 65536), meta=np.ndarray>\n", + " FrshFlux_IceSalt (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " FrshFlux_TotalIce (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " Qbot (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " Qtop (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " Wind_Speed_10m (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " ... ...\n", + " vas (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " w (time, depth_half, cell) float32 10TB dask.array<chunksize=(7, 11, 65536), meta=np.ndarray>\n", + " wa_phy (time, level_half, cell) float32 13TB dask.array<chunksize=(7, 13, 65536), meta=np.ndarray>\n", + " zg (level_full, cell) float32 1GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " zghalf (level_half, cell) float32 1GB dask.array<chunksize=(31, 65536), meta=np.ndarray>\n", + " zos (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray>" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "icon" + ] + }, + { + "cell_type": "markdown", + "id": "4b6086dc-0c9a-4f95-9dd5-99a41f112108", + "metadata": {}, + "source": [ + "Helper function for plotting. Taken from https://easy.gems.dkrz.de/Processing/healpix/healpix_cartopy.html with the colorbar added." + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "8885faa0-5681-4097-87ce-d128956e578f", + "metadata": {}, + "outputs": [], + "source": [ + "def worldmap(var, **kwargs):\n", + " projection = ccrs.Robinson(central_longitude=-135.5808361)\n", + " fig, ax = plt.subplots(\n", + " figsize=(8, 4), subplot_kw={\"projection\": projection}, constrained_layout=True\n", + " )\n", + " ax.set_global()\n", + "\n", + " imsh=egh.healpix_show(var, ax=ax, **kwargs)\n", + " ax.add_feature(cf.COASTLINE, linewidth=0.8)\n", + " ax.add_feature(cf.BORDERS, linewidth=0.4)\n", + " fig.colorbar(imsh, label=\"K\")" + ] + }, + { + "cell_type": "markdown", + "id": "55649e39-f7a7-48b6-a1a7-5238ae01ffec", + "metadata": {}, + "source": [ + "Plot time step 10 of surface air temperature." + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "f8bf4c2a-27c0-48b8-b4b4-b39ce1e57412", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/headless/envs/magic/lib/python3.10/site-packages/xarray/core/indexing.py:1430: PerformanceWarning: Slicing with an out-of-order index is generating 81 times more chunks\n", + " return self.array[key]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 1.56 s, sys: 502 ms, total: 2.06 s\n", + "Wall time: 1.68 s\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 800x400 with 2 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "%%time\n", + "worldmap(icon.tas.isel(time=10), cmap=cmocean.cm.thermal)" + ] + }, + { + "cell_type": "markdown", + "id": "36c1ba4c-800b-4320-baca-fcded39049e4", + "metadata": {}, + "source": [ + "We can also plot the time mean surface air temperature." + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "fb36bc09-30bc-44b4-a129-d361c7ceb324", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/headless/envs/magic/lib/python3.10/site-packages/xarray/core/indexing.py:1430: PerformanceWarning: Slicing with an out-of-order index is generating 81 times more chunks\n", + " return self.array[key]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 6min 27s, sys: 1min 5s, total: 7min 33s\n", + "Wall time: 3min 36s\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 800x400 with 2 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "%%time\n", + "worldmap(icon.tas.mean(\"time\"), cmap=cmocean.cm.thermal)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "MagicPy", + "language": "python", + "name": "magicpy" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/analysis/icon-nextgems/icon-ngc4008-load-plot.ipynb b/analysis/icon-nextgems/icon-ngc4008-load-plot.ipynb new file mode 100644 index 0000000..a8685ef --- /dev/null +++ b/analysis/icon-nextgems/icon-ngc4008-load-plot.ipynb @@ -0,0 +1,11855 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "735830fd-62b6-4962-aa55-f90dc7a741da", + "metadata": {}, + "source": [ + "# Example of how to load and plot ICON nextGEMS data" + ] + }, + { + "cell_type": "markdown", + "id": "4dc8fe11-d0e4-4d46-9568-1af7e147fd9b", + "metadata": {}, + "source": [ + "On Teachinghub, use the MagicPy Kernel." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cb932c48-e396-4bfd-beb1-a7a2a16cf393", + "metadata": {}, + "outputs": [], + "source": [ + "import intake\n", + "import cartopy.crs as ccrs\n", + "import cartopy.feature as cf\n", + "import cmocean\n", + "import healpy as hp\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import dask\n", + "import zarr\n", + "import easygems\n", + "import easygems.healpix as egh\n", + "import xarray as xr" + ] + }, + { + "cell_type": "markdown", + "id": "e61a8fba-237b-423f-9492-59c76fd4fbaf", + "metadata": {}, + "source": [ + "Load simulation data from publicly available cloud. The number in front of \".zarr\" is the zoom level. A higher zoom level leads to much larger data. Zoom levels 0 to 9 are available." + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "c71c9d41-1d62-4a0a-92db-58041a61fc90", + "metadata": {}, + "outputs": [], + "source": [ + "icon = xr.open_zarr(\"https://s3.eu-dkrz-1.dkrz.cloud/nextgems/rechunked_ngc4008/ngc4008_P1D_9.zarr\")" + ] + }, + { + "cell_type": "markdown", + "id": "f81d1060-616a-4c82-9e8a-6a07ac2d1790", + "metadata": {}, + "source": [ + "How large is the data in GB?" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "2942963e-00e5-48d4-9b37-dd43f43093e2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Size of data in GB: 215612.09773914889\n" + ] + } + ], + "source": [ + "print(\"Size of data in GB:\", icon.nbytes/(1024**3))" + ] + }, + { + "cell_type": "markdown", + "id": "4adfdae8-f222-4b5a-8fbd-37c82573470d", + "metadata": {}, + "source": [ + "Let us check what is in the data." + ] + }, + { + "cell_type": "code", + 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injected (untrusted notebook) */\n", + " display: none;\n", + "}\n", + "\n", + ".xr-header {\n", + " padding-top: 6px;\n", + " padding-bottom: 6px;\n", + " margin-bottom: 4px;\n", + " border-bottom: solid 1px var(--xr-border-color);\n", + "}\n", + "\n", + ".xr-header > div,\n", + ".xr-header > ul {\n", + " display: inline;\n", + " margin-top: 0;\n", + " margin-bottom: 0;\n", + "}\n", + "\n", + ".xr-obj-type,\n", + ".xr-array-name {\n", + " margin-left: 2px;\n", + " margin-right: 10px;\n", + "}\n", + "\n", + ".xr-obj-type {\n", + " color: var(--xr-font-color2);\n", + "}\n", + "\n", + ".xr-sections {\n", + " padding-left: 0 !important;\n", + " display: grid;\n", + " grid-template-columns: 150px auto auto 1fr 20px 20px;\n", + "}\n", + "\n", + ".xr-section-item {\n", + " display: contents;\n", + "}\n", + "\n", + ".xr-section-item input {\n", + " display: none;\n", + "}\n", + "\n", + ".xr-section-item input + label {\n", + " color: var(--xr-disabled-color);\n", + "}\n", + "\n", + ".xr-section-item input:enabled + label {\n", + " cursor: pointer;\n", + " color: var(--xr-font-color2);\n", + "}\n", + "\n", + ".xr-section-item input:enabled + label:hover {\n", + " color: var(--xr-font-color0);\n", + "}\n", + "\n", + ".xr-section-summary {\n", + " grid-column: 1;\n", + " color: var(--xr-font-color2);\n", + " font-weight: 500;\n", + "}\n", + "\n", + ".xr-section-summary > span {\n", + " display: inline-block;\n", + " padding-left: 0.5em;\n", + "}\n", + "\n", + ".xr-section-summary-in:disabled + label {\n", + " color: var(--xr-font-color2);\n", + "}\n", + "\n", + ".xr-section-summary-in + label:before {\n", + " display: inline-block;\n", + " content: '►';\n", + " font-size: 11px;\n", + " width: 15px;\n", + " text-align: center;\n", + "}\n", + "\n", + ".xr-section-summary-in:disabled + label:before {\n", + " color: var(--xr-disabled-color);\n", + "}\n", + "\n", + ".xr-section-summary-in:checked + label:before {\n", + " content: '▼';\n", + "}\n", + "\n", + ".xr-section-summary-in:checked + label > span {\n", + " display: none;\n", + "}\n", + "\n", + ".xr-section-summary,\n", + ".xr-section-inline-details {\n", + " padding-top: 4px;\n", + " padding-bottom: 4px;\n", + "}\n", + "\n", + ".xr-section-inline-details {\n", + " grid-column: 2 / -1;\n", + "}\n", + "\n", + ".xr-section-details {\n", + " display: none;\n", + " grid-column: 1 / -1;\n", + " margin-bottom: 5px;\n", + "}\n", + "\n", + ".xr-section-summary-in:checked ~ .xr-section-details {\n", + " display: contents;\n", + "}\n", + "\n", + ".xr-array-wrap {\n", + " grid-column: 1 / -1;\n", + " display: grid;\n", + " grid-template-columns: 20px auto;\n", + "}\n", + "\n", + ".xr-array-wrap > label {\n", + " grid-column: 1;\n", + " vertical-align: top;\n", + "}\n", + "\n", + ".xr-preview {\n", + " color: var(--xr-font-color3);\n", + "}\n", + "\n", + ".xr-array-preview,\n", + ".xr-array-data {\n", + " padding: 0 5px !important;\n", + " grid-column: 2;\n", + "}\n", + "\n", + ".xr-array-data,\n", + ".xr-array-in:checked ~ .xr-array-preview {\n", + " display: none;\n", + "}\n", + "\n", + ".xr-array-in:checked ~ .xr-array-data,\n", + ".xr-array-preview {\n", + " display: inline-block;\n", + "}\n", + "\n", + ".xr-dim-list {\n", + " display: inline-block !important;\n", + " list-style: none;\n", + " padding: 0 !important;\n", + " margin: 0;\n", + "}\n", + "\n", + ".xr-dim-list li {\n", + " display: inline-block;\n", + " padding: 0;\n", + " margin: 0;\n", + "}\n", + "\n", + ".xr-dim-list:before {\n", + " content: '(';\n", + "}\n", + "\n", + ".xr-dim-list:after {\n", + " content: ')';\n", + "}\n", + "\n", + ".xr-dim-list li:not(:last-child):after {\n", + " content: ',';\n", + " padding-right: 5px;\n", + "}\n", + "\n", + ".xr-has-index {\n", + " font-weight: bold;\n", + "}\n", + "\n", + ".xr-var-list,\n", + ".xr-var-item {\n", + " display: contents;\n", + "}\n", + "\n", + ".xr-var-item > div,\n", + ".xr-var-item label,\n", + ".xr-var-item > .xr-var-name span {\n", + " background-color: var(--xr-background-color-row-even);\n", + " margin-bottom: 0;\n", + "}\n", + "\n", + ".xr-var-item > .xr-var-name:hover span {\n", + " padding-right: 5px;\n", + "}\n", + "\n", + ".xr-var-list > li:nth-child(odd) > div,\n", + ".xr-var-list > li:nth-child(odd) > label,\n", + ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n", + " background-color: var(--xr-background-color-row-odd);\n", + "}\n", + "\n", + ".xr-var-name {\n", + " grid-column: 1;\n", + "}\n", + "\n", + ".xr-var-dims {\n", + " grid-column: 2;\n", + "}\n", + "\n", + ".xr-var-dtype {\n", + " grid-column: 3;\n", + " text-align: right;\n", + " color: var(--xr-font-color2);\n", + "}\n", + "\n", + ".xr-var-preview {\n", + " grid-column: 4;\n", + "}\n", + "\n", + ".xr-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'><xarray.Dataset> Size: 232TB\n", + "Dimensions: (time: 10958, depth_half: 73,\n", + " cell: 3145728, level_full: 90,\n", + " crs: 1, depth_full: 72,\n", + " soil_depth_water_level: 5,\n", + " level_half: 91,\n", + " soil_depth_energy_level: 5)\n", + "Coordinates:\n", + " * crs (crs) float32 4B nan\n", + " * depth_full (depth_full) float32 288B 1.0 ... 5....\n", + " * depth_half (depth_half) float32 292B 0.0 ... 5....\n", + " * level_full (level_full) int32 360B 1 2 3 ... 89 90\n", + " * level_half (level_half) int32 364B 1 2 3 ... 90 91\n", + " * soil_depth_energy_level (soil_depth_energy_level) float32 20B ...\n", + " * soil_depth_water_level (soil_depth_water_level) float32 20B ...\n", + " * time (time) datetime64[ns] 88kB 2020-01-0...\n", + "Dimensions without coordinates: cell\n", + "Data variables: (12/103)\n", + " A_tracer_v_to (time, depth_half, cell) float32 10TB dask.array<chunksize=(7, 11, 65536), meta=np.ndarray>\n", + " FrshFlux_IceSalt (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " FrshFlux_TotalIce (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " Qbot (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " Qtop (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " Wind_Speed_10m (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " ... ...\n", + " vas (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " w (time, depth_half, cell) float32 10TB dask.array<chunksize=(7, 11, 65536), meta=np.ndarray>\n", + " wa_phy (time, level_half, cell) float32 13TB dask.array<chunksize=(7, 13, 65536), meta=np.ndarray>\n", + " zg (level_full, cell) float32 1GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " zghalf (level_half, cell) float32 1GB dask.array<chunksize=(31, 65536), meta=np.ndarray>\n", + " zos (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray></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-9980954e-7b26-45e9-9fd0-60b129d6ab03' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9980954e-7b26-45e9-9fd0-60b129d6ab03' 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>: 10958</li><li><span class='xr-has-index'>depth_half</span>: 73</li><li><span>cell</span>: 3145728</li><li><span class='xr-has-index'>level_full</span>: 90</li><li><span class='xr-has-index'>crs</span>: 1</li><li><span class='xr-has-index'>depth_full</span>: 72</li><li><span class='xr-has-index'>soil_depth_water_level</span>: 5</li><li><span class='xr-has-index'>level_half</span>: 91</li><li><span class='xr-has-index'>soil_depth_energy_level</span>: 5</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-60e82d4c-35f6-4759-acbe-f8d546af4c9f' class='xr-section-summary-in' type='checkbox' checked><label for='section-60e82d4c-35f6-4759-acbe-f8d546af4c9f' class='xr-section-summary' >Coordinates: <span>(8)</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'>crs</span></div><div class='xr-var-dims'>(crs)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-40146c9d-bb49-4f8c-9397-868649459d1e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40146c9d-bb49-4f8c-9397-868649459d1e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-646a7c1e-a41b-4656-8c02-a0b49496d31f' class='xr-var-data-in' type='checkbox'><label for='data-646a7c1e-a41b-4656-8c02-a0b49496d31f' 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>grid_mapping_name :</span></dt><dd>healpix</dd><dt><span>healpix_nside :</span></dt><dd>512</dd><dt><span>healpix_order :</span></dt><dd>nest</dd></dl></div><div class='xr-var-data'><pre>array([nan], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>depth_full</span></div><div class='xr-var-dims'>(depth_full)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0 3.1 ... 5.546e+03 5.816e+03</div><input id='attrs-aad6b3ca-d1fb-4d60-b409-e752917ecf85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aad6b3ca-d1fb-4d60-b409-e752917ecf85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3297603-2e23-4355-af90-e07f8b10cfc0' class='xr-var-data-in' type='checkbox'><label for='data-d3297603-2e23-4355-af90-e07f8b10cfc0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>depth_below_sea</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([1.00000e+00, 3.10000e+00, 5.45000e+00, 8.10000e+00, 1.10500e+01,\n", + " 1.43500e+01, 1.80500e+01, 2.22000e+01, 2.68500e+01, 3.20000e+01,\n", + " 3.76500e+01, 4.38000e+01, 5.05500e+01, 5.79500e+01, 6.60000e+01,\n", + " 7.48000e+01, 8.44500e+01, 9.50000e+01, 1.06500e+02, 1.19100e+02,\n", + " 1.32900e+02, 1.47950e+02, 1.64350e+02, 1.82250e+02, 2.01800e+02,\n", + " 2.23150e+02, 2.46450e+02, 2.71850e+02, 2.99550e+02, 3.29750e+02,\n", + " 3.62650e+02, 3.98450e+02, 4.37400e+02, 4.79250e+02, 5.23450e+02,\n", + " 5.69500e+02, 6.17100e+02, 6.66300e+02, 7.17150e+02, 7.69700e+02,\n", + " 8.24000e+02, 8.80100e+02, 9.38050e+02, 9.97900e+02, 1.05975e+03,\n", + " 1.12450e+03, 1.19410e+03, 1.27070e+03, 1.35630e+03, 1.45170e+03,\n", + " 1.55680e+03, 1.67195e+03, 1.79645e+03, 1.92950e+03, 2.07140e+03,\n", + " 2.22245e+03, 2.38290e+03, 2.55290e+03, 2.73250e+03, 2.92175e+03,\n", + " 3.12060e+03, 3.32885e+03, 3.54625e+03, 3.77245e+03, 4.00695e+03,\n", + " 4.24915e+03, 4.49830e+03, 4.75355e+03, 5.01400e+03, 5.27860e+03,\n", + " 5.54625e+03, 5.81575e+03], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>depth_half</span></div><div class='xr-var-dims'>(depth_half)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.2 ... 5.681e+03 5.951e+03</div><input id='attrs-441ec028-b43b-4ab3-9f5b-8d35e0582c30' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-441ec028-b43b-4ab3-9f5b-8d35e0582c30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84b86c68-6581-4b40-9e1c-05193ffa1339' class='xr-var-data-in' type='checkbox'><label for='data-84b86c68-6581-4b40-9e1c-05193ffa1339' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>depth_below_sea</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([0.0000e+00, 2.0000e+00, 4.2000e+00, 6.7000e+00, 9.5000e+00, 1.2600e+01,\n", + " 1.6100e+01, 2.0000e+01, 2.4400e+01, 2.9300e+01, 3.4700e+01, 4.0600e+01,\n", + " 4.7000e+01, 5.4100e+01, 6.1800e+01, 7.0200e+01, 7.9400e+01, 8.9500e+01,\n", + " 1.0050e+02, 1.1250e+02, 1.2570e+02, 1.4010e+02, 1.5580e+02, 1.7290e+02,\n", + " 1.9160e+02, 2.1200e+02, 2.3430e+02, 2.5860e+02, 2.8510e+02, 3.1400e+02,\n", + " 3.4550e+02, 3.7980e+02, 4.1710e+02, 4.5770e+02, 5.0080e+02, 5.4610e+02,\n", + " 5.9290e+02, 6.4130e+02, 6.9130e+02, 7.4300e+02, 7.9640e+02, 8.5160e+02,\n", + " 9.0860e+02, 9.6750e+02, 1.0283e+03, 1.0912e+03, 1.1578e+03, 1.2304e+03,\n", + " 1.3110e+03, 1.4016e+03, 1.5018e+03, 1.6118e+03, 1.7321e+03, 1.8608e+03,\n", + " 1.9982e+03, 2.1446e+03, 2.3003e+03, 2.4655e+03, 2.6403e+03, 2.8247e+03,\n", + " 3.0188e+03, 3.2224e+03, 3.4353e+03, 3.6572e+03, 3.8877e+03, 4.1262e+03,\n", + " 4.3721e+03, 4.6245e+03, 4.8826e+03, 5.1454e+03, 5.4118e+03, 5.6807e+03,\n", + " 5.9508e+03], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level_full</span></div><div class='xr-var-dims'>(level_full)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 ... 85 86 87 88 89 90</div><input id='attrs-448e83b4-518c-40b6-b751-ffa271fd0c79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-448e83b4-518c-40b6-b751-ffa271fd0c79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af222217-ec4a-4560-8d50-d9fa2e911271' class='xr-var-data-in' type='checkbox'><label for='data-af222217-ec4a-4560-8d50-d9fa2e911271' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>generalized_height</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18,\n", + " 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36,\n", + " 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54,\n", + " 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72,\n", + " 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90],\n", + " dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level_half</span></div><div class='xr-var-dims'>(level_half)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 ... 86 87 88 89 90 91</div><input id='attrs-f4d5c1d3-92f3-4bea-9105-ffbc1b1bfea6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4d5c1d3-92f3-4bea-9105-ffbc1b1bfea6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be860616-e116-42b2-9eb9-0a97fd61d8b7' class='xr-var-data-in' type='checkbox'><label for='data-be860616-e116-42b2-9eb9-0a97fd61d8b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>generalized_height</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18,\n", + " 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36,\n", + " 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54,\n", + " 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72,\n", + " 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90,\n", + " 91], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>soil_depth_energy_level</span></div><div class='xr-var-dims'>(soil_depth_energy_level)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0325 0.192 0.7755 2.683 6.984</div><input id='attrs-9d858b81-35dc-4997-a3f9-29f2b728fd8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d858b81-35dc-4997-a3f9-29f2b728fd8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5cb5893-b692-4149-8d7c-cca8cc397cce' class='xr-var-data-in' type='checkbox'><label for='data-f5cb5893-b692-4149-8d7c-cca8cc397cce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>depth_below_land</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([0.0325, 0.192 , 0.7755, 2.683 , 6.984 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>soil_depth_water_level</span></div><div class='xr-var-dims'>(soil_depth_water_level)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0325 0.192 0.7755 2.683 6.984</div><input id='attrs-816054ac-b5a4-4f2f-b66a-0ea17f32f10c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-816054ac-b5a4-4f2f-b66a-0ea17f32f10c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-396df914-9183-43bf-ab00-6b98866e12e6' class='xr-var-data-in' type='checkbox'><label for='data-396df914-9183-43bf-ab00-6b98866e12e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>depth_below_land</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([0.0325, 0.192 , 0.7755, 2.683 , 6.984 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-01-02 ... 2050-01-01</div><input id='attrs-bb802880-ae33-4231-a02b-cba964c4374b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb802880-ae33-4231-a02b-cba964c4374b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a530af74-cb4d-43fb-b3a7-a6345f35e6d7' class='xr-var-data-in' type='checkbox'><label for='data-a530af74-cb4d-43fb-b3a7-a6345f35e6d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array(['2020-01-02T00:00:00.000000000', '2020-01-03T00:00:00.000000000',\n", + " '2020-01-04T00:00:00.000000000', ..., '2049-12-30T00:00:00.000000000',\n", + " '2049-12-31T00:00:00.000000000', '2050-01-01T00:00:00.000000000'],\n", + " dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0aa5e9cf-b20c-4576-9532-d7d41d12ab91' class='xr-section-summary-in' type='checkbox' ><label for='section-0aa5e9cf-b20c-4576-9532-d7d41d12ab91' class='xr-section-summary' >Data variables: <span>(103)</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>A_tracer_v_to</span></div><div class='xr-var-dims'>(time, depth_half, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(7, 11, 65536), meta=np.ndarray></div><input id='attrs-cc61343c-d32a-4532-a911-dad77ab2d7ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc61343c-d32a-4532-a911-dad77ab2d7ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cec35c0c-8f2e-4c18-807b-77243fe0dec5' class='xr-var-data-in' type='checkbox'><label for='data-cec35c0c-8f2e-4c18-807b-77243fe0dec5' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>sea water vertical diffusivity</dd><dt><span>standard_name :</span></dt><dd>ocean_vertical_diffusivity</dd><dt><span>units :</span></dt><dd>m2 s-1</dd><dt><span>vgrid :</span></dt><dd>depth_below_sea_half</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 9.15 TiB </td>\n", + " <td> 19.25 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 73, 3145728) </td>\n", + " <td> (7, 11, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 526176 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " 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text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"164.948598\" y=\"27.654906\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,164.948598,27.654906)\">73</text>\n", + " <text x=\"7.474299\" y=\"52.886915\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,52.886915)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FrshFlux_IceSalt</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-99bd0bfc-82ac-403b-bd30-c0857b0075a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99bd0bfc-82ac-403b-bd30-c0857b0075a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4894529-47a5-497e-a195-f99b76043353' class='xr-var-data-in' type='checkbox'><label for='data-d4894529-47a5-497e-a195-f99b76043353' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Salt volume flux due to sea ice change</dd><dt><span>units :</span></dt><dd>psu m s-1</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" 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xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce3ab3cd-4331-48a9-8ccb-56dd77e56361' class='xr-var-data-in' type='checkbox'><label for='data-ce3ab3cd-4331-48a9-8ccb-56dd77e56361' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Freshwater Flux due to Sea Ice Change</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + 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xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d0e033d-a83d-45d9-bd62-6446836b8b7a' class='xr-var-data-in' type='checkbox'><label for='data-1d0e033d-a83d-45d9-bd62-6446836b8b7a' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Conductive heat flux at ice-ocean interface</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>vgrid :</span></dt><dd>generic_ice</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line 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title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b82fd563-d0bd-47f3-9691-c27cdff529d5' class='xr-var-data-in' type='checkbox'><label for='data-b82fd563-d0bd-47f3-9691-c27cdff529d5' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Energy flux available for surface melting</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>vgrid :</span></dt><dd>generic_ice</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" 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><label for='attrs-21ba05bb-fb07-4ab3-b86d-6b3360b29c44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32981e9a-5ecb-48f8-a07d-2c59288254f7' class='xr-var-data-in' type='checkbox'><label for='data-32981e9a-5ecb-48f8-a07d-2c59288254f7' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Wind Speed at 10m height</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" 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class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c288892-5948-44db-92ed-9bddbaca4266' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68975115-1705-4f98-ae97-1048c874e1a1' class='xr-var-data-in' type='checkbox'><label for='data-68975115-1705-4f98-ae97-1048c874e1a1' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" 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<line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>atmos_fluxes_FrshFlux_Precipitation</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-3c61b247-8837-4bb0-bff2-ab731401d66d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c61b247-8837-4bb0-bff2-ab731401d66d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51853f07-8b1c-4f06-84c5-68137530c7bc' class='xr-var-data-in' type='checkbox'><label for='data-51853f07-8b1c-4f06-84c5-68137530c7bc' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" 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type='checkbox' ><label for='attrs-1ed163ff-4e67-4055-ad41-aac4f911bbaf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f1ef207-4f25-4a21-91d0-ff83ca2b8051' class='xr-var-data-in' type='checkbox'><label for='data-9f1ef207-4f25-4a21-91d0-ff83ca2b8051' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" 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for='attrs-f516180a-f7b3-46ed-bfeb-0ac0e0979b79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e03d865a-01c2-40a9-88f1-b0045b45dd1f' class='xr-var-data-in' type='checkbox'><label for='data-e03d865a-01c2-40a9-88f1-b0045b45dd1f' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line 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style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>atmos_fluxes_HeatFlux_Latent</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-fdef3f67-7320-4699-9c97-290118c2478d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fdef3f67-7320-4699-9c97-290118c2478d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc5e84f1-0b5b-46a5-9bf5-b8e561f7eb4e' class='xr-var-data-in' type='checkbox'><label for='data-bc5e84f1-0b5b-46a5-9bf5-b8e561f7eb4e' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line 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for='attrs-bb0b9cb5-b5b3-4781-b2c9-0ec6da99d646' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af6e7926-a7e4-4d9f-a5ab-e537ef23141d' class='xr-var-data-in' type='checkbox'><label for='data-af6e7926-a7e4-4d9f-a5ab-e537ef23141d' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line 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for='attrs-7e999cc1-630d-4c23-b09c-9112ed379aeb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b127109c-10a5-4508-80ba-b3870007dbbe' class='xr-var-data-in' type='checkbox'><label for='data-b127109c-10a5-4508-80ba-b3870007dbbe' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line 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style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>atmos_fluxes_HeatFlux_ShortWave</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-fd9c5fb3-b4b8-4b3b-bc84-3190359c9bed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd9c5fb3-b4b8-4b3b-bc84-3190359c9bed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a4331de-aeee-4c0d-a2b9-e6fc4d4222c6' class='xr-var-data-in' type='checkbox'><label for='data-1a4331de-aeee-4c0d-a2b9-e6fc4d4222c6' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line 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for='attrs-6f8f277e-4cb6-482f-9830-479a4f4ef3b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cdffb276-f637-4ae4-94c5-e1b0f244ef4c' class='xr-var-data-in' type='checkbox'><label for='data-cdffb276-f637-4ae4-94c5-e1b0f244ef4c' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line 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for='attrs-ab63a1de-03b4-468b-b0e9-c4ccdcfb261a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-baedec1c-f5f1-4683-98cb-00a43494c020' class='xr-var-data-in' type='checkbox'><label for='data-baedec1c-f5f1-4683-98cb-00a43494c020' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>atmos_fluxes_stress_xw</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-b1c7c8e4-f087-491d-9932-e4b6e2ff89c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1c7c8e4-f087-491d-9932-e4b6e2ff89c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f14d53e-c3db-4458-b97f-bb6fff9c5ac1' class='xr-var-data-in' type='checkbox'><label for='data-1f14d53e-c3db-4458-b97f-bb6fff9c5ac1' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line 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for='attrs-4bf32b53-05cf-4606-9154-4f57484bfa39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89afcc5a-6375-4c99-9453-a95bda5f7609' class='xr-var-data-in' type='checkbox'><label for='data-89afcc5a-6375-4c99-9453-a95bda5f7609' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line 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for='attrs-aa6b0b04-d9d7-48a9-80e6-351492085fba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cd0fe34-f355-43e3-a300-85b0a7e6bf8d' class='xr-var-data-in' type='checkbox'><label for='data-9cd0fe34-f355-43e3-a300-85b0a7e6bf8d' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cli</span></div><div class='xr-var-dims'>(time, level_full, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(7, 9, 65536), meta=np.ndarray></div><input id='attrs-10944393-42a9-42dc-9f47-c706c5371d20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10944393-42a9-42dc-9f47-c706c5371d20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d21dff9a-5298-4104-8b71-dff1a6a8ef31' class='xr-var-data-in' type='checkbox'><label for='data-d21dff9a-5298-4104-8b71-dff1a6a8ef31' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>specific cloud ice content</dd><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>vgrid :</span></dt><dd>reference</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 11.29 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 90, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 751680 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"2\" x2=\"24\" y2=\"17\" />\n", + " <line x1=\"10\" y1=\"5\" x2=\"24\" y2=\"20\" />\n", + " <line x1=\"10\" y1=\"7\" x2=\"24\" y2=\"22\" />\n", + " <line x1=\"10\" y1=\"10\" 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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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>vertically integrated cloud ice</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vgrid :</span></dt><dd>atmosphere</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" 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y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cllvi</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-c27a0752-dd1a-4e01-b9f4-eca9930bd988' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c27a0752-dd1a-4e01-b9f4-eca9930bd988' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-386090d5-4ee7-4eb7-a47c-2e7d3964d05b' class='xr-var-data-in' type='checkbox'><label for='data-386090d5-4ee7-4eb7-a47c-2e7d3964d05b' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>vertically integrated cloud water</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vgrid :</span></dt><dd>atmosphere</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" 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id='data-d3337775-f491-48ac-8a8e-347f1817e8ae' class='xr-var-data-in' type='checkbox'><label for='data-d3337775-f491-48ac-8a8e-347f1817e8ae' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>specific cloud water content</dd><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>vgrid :</span></dt><dd>reference</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 11.29 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 90, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 751680 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"2\" x2=\"24\" y2=\"17\" />\n", + " <line x1=\"10\" y1=\"5\" x2=\"24\" y2=\"20\" />\n", + " <line x1=\"10\" y1=\"7\" x2=\"24\" y2=\"22\" />\n", + " <line x1=\"10\" y1=\"10\" x2=\"24\" y2=\"25\" />\n", + " <line x1=\"10\" y1=\"12\" x2=\"24\" y2=\"27\" />\n", + " <line x1=\"10\" y1=\"15\" x2=\"24\" y2=\"30\" />\n", + " <line x1=\"10\" y1=\"17\" x2=\"24\" 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:</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>ice concentration in each ice class</dd><dt><span>vgrid :</span></dt><dd>generic_ice</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " 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text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>delhi</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-63b1e5f7-9e53-4bf9-801b-41ef3c629fdf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63b1e5f7-9e53-4bf9-801b-41ef3c629fdf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-793d3e39-4fd6-4c99-affc-0cc44410948f' class='xr-var-data-in' type='checkbox'><label for='data-793d3e39-4fd6-4c99-affc-0cc44410948f' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Change in ice mean thickness due to thermodynamic effects</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>vgrid :</span></dt><dd>generic_ice</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" 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" <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dzghalf</span></div><div class='xr-var-dims'>(level_full, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-4efde69b-a149-4827-9977-0b2fabd30733' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4efde69b-a149-4827-9977-0b2fabd30733' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc8da35a-c837-42d5-8e78-96770e247e9a' class='xr-var-data-in' type='checkbox'><label for='data-dc8da35a-c837-42d5-8e78-96770e247e9a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical extent of model full layer</dd><dt><span>standard_name :</span></dt><dd>cell_thickness</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 1.05 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (90, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 144 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">90</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heatOceI</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-bcb9ac7a-633d-479f-b543-972f7ad554c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bcb9ac7a-633d-479f-b543-972f7ad554c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-803aab27-5c07-48d8-be8a-9e5be29ee333' class='xr-var-data-in' type='checkbox'><label for='data-803aab27-5c07-48d8-be8a-9e5be29ee333' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Heat flux to ocean from the ice growth</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>vgrid :</span></dt><dd>generic_ice</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" 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font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heatOceW</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-584c8b30-c3bd-4f4c-a05f-b4346586a31b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-584c8b30-c3bd-4f4c-a05f-b4346586a31b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05a226ad-b9ce-4d63-91a3-4739f0956502' class='xr-var-data-in' type='checkbox'><label for='data-05a226ad-b9ce-4d63-91a3-4739f0956502' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Heat flux to ocean from the atmosphere</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>vgrid :</span></dt><dd>generic_ice</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" 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y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heat_content_seaice</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-24a1885c-dd4b-43ef-9185-b6ba51e23f77' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24a1885c-dd4b-43ef-9185-b6ba51e23f77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef74a8ce-7031-444e-8dbf-b1f3964e1277' class='xr-var-data-in' type='checkbox'><label for='data-ef74a8ce-7031-444e-8dbf-b1f3964e1277' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" 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font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heat_content_snow</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-d70e4f38-ac87-4fa8-8e23-859a4dc23067' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d70e4f38-ac87-4fa8-8e23-859a4dc23067' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f2ffded-ff75-437c-9652-e90ff0ddf477' class='xr-var-data-in' type='checkbox'><label for='data-4f2ffded-ff75-437c-9652-e90ff0ddf477' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" 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x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heat_content_total</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-ee478b2f-a33d-4c7e-87c4-8749641d2b8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee478b2f-a33d-4c7e-87c4-8749641d2b8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8947dc2a-21cb-499b-a9c3-70097ffdb495' class='xr-var-data-in' type='checkbox'><label for='data-8947dc2a-21cb-499b-a9c3-70097ffdb495' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" 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font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hfls</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-c98bd0dc-7d10-4dd6-b9cb-9f088af35d1e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c98bd0dc-7d10-4dd6-b9cb-9f088af35d1e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ba18e2a-12ee-4018-a475-de6660647a21' class='xr-var-data-in' type='checkbox'><label for='data-3ba18e2a-12ee-4018-a475-de6660647a21' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>latent heat flux</dd><dt><span>standard_name :</span></dt><dd>surface_downward_latent_heat_flux</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" 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text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hfss</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-0dda389d-1c2e-492b-bcd5-c400370bc43b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0dda389d-1c2e-492b-bcd5-c400370bc43b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e90f4f0-7599-49b3-aa6b-b03346087fa4' class='xr-var-data-in' type='checkbox'><label for='data-1e90f4f0-7599-49b3-aa6b-b03346087fa4' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>sensible heat flux</dd><dt><span>standard_name :</span></dt><dd>surface_downward_sensible_heat_flux</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " 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x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hi</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-d7a4a082-5702-4d47-a410-76a66c3949e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7a4a082-5702-4d47-a410-76a66c3949e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-373e9649-20b1-42c1-8a76-c4b4d5aaeaff' class='xr-var-data-in' type='checkbox'><label for='data-373e9649-20b1-42c1-8a76-c4b4d5aaeaff' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>ice thickness</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>vgrid :</span></dt><dd>generic_ice</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hs</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-f8b8fb41-7907-4278-a137-b93fef90f87d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f8b8fb41-7907-4278-a137-b93fef90f87d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fefa02d8-73c4-44ae-abc1-61cee12c6204' class='xr-var-data-in' type='checkbox'><label for='data-fefa02d8-73c4-44ae-abc1-61cee12c6204' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>snow thickness</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>vgrid :</span></dt><dd>generic_ice</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hus</span></div><div class='xr-var-dims'>(time, level_full, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(7, 9, 65536), meta=np.ndarray></div><input id='attrs-d18b00e2-e5fc-4712-ac76-7afdf9cf5c4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d18b00e2-e5fc-4712-ac76-7afdf9cf5c4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90a182f4-6c4a-46fc-9b7b-113d572e8e6b' class='xr-var-data-in' type='checkbox'><label for='data-90a182f4-6c4a-46fc-9b7b-113d572e8e6b' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Specific humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>vgrid :</span></dt><dd>reference</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 11.29 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 90, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 751680 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"2\" x2=\"24\" y2=\"17\" />\n", + " <line x1=\"10\" y1=\"5\" x2=\"24\" y2=\"20\" />\n", + " <line x1=\"10\" y1=\"7\" x2=\"24\" y2=\"22\" />\n", + " <line x1=\"10\" y1=\"10\" x2=\"24\" y2=\"25\" />\n", + " <line x1=\"10\" y1=\"12\" x2=\"24\" y2=\"27\" />\n", + " <line x1=\"10\" y1=\"15\" x2=\"24\" y2=\"30\" />\n", + " <line x1=\"10\" y1=\"17\" x2=\"24\" y2=\"32\" />\n", + " <line x1=\"10\" y1=\"20\" x2=\"24\" 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</td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hydro_canopy_cond_limited_box</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-21e10bbc-b837-4227-a375-972bb96d9110' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21e10bbc-b837-4227-a375-972bb96d9110' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3037492f-95e3-480e-ad61-bad87f834b74' class='xr-var-data-in' type='checkbox'><label for='data-3037492f-95e3-480e-ad61-bad87f834b74' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>jsbach</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- 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class='xr-var-item'><div class='xr-var-name'><span>hydro_discharge_ocean_box</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-e90a4350-17b3-433f-a27b-8405edc2bea7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e90a4350-17b3-433f-a27b-8405edc2bea7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b7bd676-7be0-4d36-94ec-8fce2746c84c' class='xr-var-data-in' type='checkbox'><label for='data-0b7bd676-7be0-4d36-94ec-8fce2746c84c' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>jsbach</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>m3 s-1</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal 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class='xr-var-item'><div class='xr-var-name'><span>hydro_drainage_box</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-70b10264-5d65-4d3e-a7b5-f64522cd9c22' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70b10264-5d65-4d3e-a7b5-f64522cd9c22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2019cab3-327c-4dcf-a134-fc4cdbec006f' class='xr-var-data-in' type='checkbox'><label for='data-2019cab3-327c-4dcf-a134-fc4cdbec006f' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>jsbach</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- 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class='xr-var-item'><div class='xr-var-name'><span>hydro_ice_soil_sl_box</span></div><div class='xr-var-dims'>(time, soil_depth_water_level, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(7, 5, 65536), meta=np.ndarray></div><input id='attrs-5a14c32f-1371-4ec0-a2ac-51d0660a2947' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a14c32f-1371-4ec0-a2ac-51d0660a2947' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77a7c82a-02c7-4d7a-874c-1dafaa3eeb08' class='xr-var-data-in' type='checkbox'><label for='data-77a7c82a-02c7-4d7a-874c-1dafaa3eeb08' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>jsbach</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Ice content in soil layers</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>vgrid :</span></dt><dd>soil_depth_water</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 642.07 GiB </td>\n", + " <td> 8.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 5, 3145728) </td>\n", + " <td> (7, 5, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 75168 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", 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id='attrs-93b9f06e-f3ab-4570-b3fe-4381bdebd203' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93b9f06e-f3ab-4570-b3fe-4381bdebd203' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67c8f97e-2d5c-484a-8bcd-ccb4ded9f9e6' class='xr-var-data-in' type='checkbox'><label for='data-67c8f97e-2d5c-484a-8bcd-ccb4ded9f9e6' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>jsbach</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>surface runoff</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" 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x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hydro_snow_soil_dens_box</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-64d828b6-3ac8-4123-b4d6-96df8dc50af1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64d828b6-3ac8-4123-b4d6-96df8dc50af1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-309c4a3a-d557-4a6e-b42d-75f4ab725ea4' class='xr-var-data-in' type='checkbox'><label for='data-309c4a3a-d557-4a6e-b42d-75f4ab725ea4' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>jsbach</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Density of snow on soil</dd><dt><span>units :</span></dt><dd>kg m-3</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hydro_transpiration_box</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-9f9737b0-221f-49bd-9698-ca69462d23bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f9737b0-221f-49bd-9698-ca69462d23bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bc8604b-621a-4924-824b-8e568a2b7e9c' class='xr-var-data-in' type='checkbox'><label for='data-8bc8604b-621a-4924-824b-8e568a2b7e9c' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>jsbach</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Transpiration from surface</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" 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class='xr-var-name'><span>hydro_weq_snow_box</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-418c6d4f-3a7d-418f-92ac-a441201c56f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-418c6d4f-3a7d-418f-92ac-a441201c56f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f5a85bb-cba7-4f80-935a-05763f4ff659' class='xr-var-data-in' type='checkbox'><label for='data-4f5a85bb-cba7-4f80-935a-05763f4ff659' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>jsbach</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Water content of snow reservoir on surface</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" 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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hydro_wtr_soil_sl_box</span></div><div class='xr-var-dims'>(time, soil_depth_water_level, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(7, 5, 65536), meta=np.ndarray></div><input id='attrs-bd5a5d9b-adce-4b75-8f93-3d086905923e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd5a5d9b-adce-4b75-8f93-3d086905923e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51e12b2d-854a-465d-bca9-36309f3cda08' class='xr-var-data-in' type='checkbox'><label for='data-51e12b2d-854a-465d-bca9-36309f3cda08' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>jsbach</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Water content in soil layers</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>vgrid :</span></dt><dd>soil_depth_water</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 642.07 GiB </td>\n", + " <td> 8.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 5, 3145728) </td>\n", + " <td> (7, 5, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 75168 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " 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" <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" 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id='attrs-0eab4802-400e-4b73-8a19-867ccfc61e10' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0eab4802-400e-4b73-8a19-867ccfc61e10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c769ba37-92fb-4815-9962-8cc7a160c8c2' class='xr-var-data-in' type='checkbox'><label for='data-c769ba37-92fb-4815-9962-8cc7a160c8c2' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>meridional velocity</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" 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meta=np.ndarray></div><input id='attrs-63bd06c0-6e06-4042-83f0-7b39d6102f2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63bd06c0-6e06-4042-83f0-7b39d6102f2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ac7da9d-19d5-4d82-a904-f0f555c8b301' class='xr-var-data-in' type='checkbox'><label for='data-9ac7da9d-19d5-4d82-a904-f0f555c8b301' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>standard_name :</span></dt><dd>ocean_mixed_layer_thickness_defined_by_sigma_t</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" 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x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>newice</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-b397c899-444a-44f8-8298-265d93e9b322' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b397c899-444a-44f8-8298-265d93e9b322' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cb5dd25-9082-427b-b000-e9dc275b8f7b' class='xr-var-data-in' type='checkbox'><label for='data-6cb5dd25-9082-427b-b000-e9dc275b8f7b' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>new ice growth in open water</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" 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x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_fraction_depth_full</span></div><div class='xr-var-dims'>(depth_full, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(9, 196608), meta=np.ndarray></div><input id='attrs-a3f5da9b-c44a-4cbe-9981-910969d16e4e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3f5da9b-c44a-4cbe-9981-910969d16e4e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6a38add-633b-44aa-ac7b-a46dfd5f6c49' class='xr-var-data-in' type='checkbox'><label for='data-a6a38add-633b-44aa-ac7b-a46dfd5f6c49' 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>fraction of cell covered by ocean</dd><dt><span>standard_name :</span></dt><dd>ocean_area_fraction</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 864.00 MiB </td>\n", + " <td> 6.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (72, 3145728) </td>\n", + " <td> (9, 196608) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 128 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" 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/>\n", + " <line x1=\"82\" y1=\"0\" x2=\"82\" y2=\"25\" />\n", + " <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"25\" />\n", + " <line x1=\"97\" y1=\"0\" x2=\"97\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">72</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_fraction_depth_half</span></div><div class='xr-var-dims'>(depth_half, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(11, 196608), meta=np.ndarray></div><input id='attrs-8caef11a-d587-4e09-953d-3a2965b4d077' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8caef11a-d587-4e09-953d-3a2965b4d077' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18583252-cfe8-4ef4-ac38-8c8fef5e5ee0' class='xr-var-data-in' type='checkbox'><label for='data-18583252-cfe8-4ef4-ac38-8c8fef5e5ee0' 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>fraction of cell covered by ocean</dd><dt><span>standard_name :</span></dt><dd>ocean_area_fraction</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 876.00 MiB </td>\n", + " <td> 8.25 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (73, 3145728) </td>\n", + " <td> (11, 196608) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 112 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" 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/>\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"82\" y1=\"0\" x2=\"82\" y2=\"25\" />\n", + " <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"25\" />\n", + " <line x1=\"97\" y1=\"0\" x2=\"97\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">73</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_fraction_surface</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3145728,), meta=np.ndarray></div><input id='attrs-e6713dd3-960d-4d0f-b27c-416d6c4ad4b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6713dd3-960d-4d0f-b27c-416d6c4ad4b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bae47772-8f75-4fd2-9f10-7ee65031ef3f' class='xr-var-data-in' type='checkbox'><label for='data-bae47772-8f75-4fd2-9f10-7ee65031ef3f' 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>fraction of cell covered by ocean</dd><dt><span>standard_name :</span></dt><dd>ocean_area_fraction</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 12.00 MiB </td>\n", + " <td> 12.00 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (3145728,) </td>\n", + " <td> (3145728,) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 1 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">1</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pfull</span></div><div class='xr-var-dims'>(time, level_full, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(7, 9, 65536), meta=np.ndarray></div><input id='attrs-8abf43ff-16ee-4a04-bb7c-1db93e8dfe8e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8abf43ff-16ee-4a04-bb7c-1db93e8dfe8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e45628e-0c82-4b0f-881b-c2065617bee9' class='xr-var-data-in' type='checkbox'><label for='data-1e45628e-0c82-4b0f-881b-c2065617bee9' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>vgrid :</span></dt><dd>reference</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 11.29 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 90, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 751680 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"2\" 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</td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 91, 3145728) </td>\n", + " <td> (7, 11, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 676512 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"3\" x2=\"24\" y2=\"18\" />\n", + " <line x1=\"10\" y1=\"6\" x2=\"24\" y2=\"21\" />\n", + " <line x1=\"10\" y1=\"9\" x2=\"24\" y2=\"24\" />\n", + " <line x1=\"10\" y1=\"12\" x2=\"24\" y2=\"27\" />\n", + " <line x1=\"10\" y1=\"15\" x2=\"24\" y2=\"30\" />\n", + " <line x1=\"10\" y1=\"18\" x2=\"24\" y2=\"33\" />\n", + 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</tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-a7dd0ba3-5c3c-4397-8420-b920614da6d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7dd0ba3-5c3c-4397-8420-b920614da6d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d985a79d-ddb5-43f0-9e70-31bf48b14266' class='xr-var-data-in' type='checkbox'><label for='data-d985a79d-ddb5-43f0-9e70-31bf48b14266' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>precipitation flux</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" 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"</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pres_msl</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-30bca0af-9701-434d-8d19-f5e8874c33f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30bca0af-9701-434d-8d19-f5e8874c33f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f7f0f2c-0831-4526-bc44-4d358cc1758e' class='xr-var-data-in' type='checkbox'><label for='data-7f7f0f2c-0831-4526-bc44-4d358cc1758e' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>mean sea level pressure</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>vgrid :</span></dt><dd>meansea</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " 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transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pres_sfc</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-ece856ad-c704-46be-9987-cb997fe89445' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ece856ad-c704-46be-9987-cb997fe89445' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d90239c-3acd-40dc-9ff1-f47466e413cf' class='xr-var-data-in' type='checkbox'><label for='data-7d90239c-3acd-40dc-9ff1-f47466e413cf' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>surface pressure</dd><dt><span>standard_name :</span></dt><dd>surface_air_pressure</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " 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class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" 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transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>prw</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-d225183e-b186-49f5-9edf-e6e052080504' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d225183e-b186-49f5-9edf-e6e052080504' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bbd2bf2a-3998-4fab-97e1-3d02031ee872' class='xr-var-data-in' type='checkbox'><label for='data-bbd2bf2a-3998-4fab-97e1-3d02031ee872' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>vertically integrated water vapour</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vgrid :</span></dt><dd>atmosphere</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" 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class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>specific graupel content</dd><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>vgrid :</span></dt><dd>reference</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 11.29 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 90, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 751680 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"2\" x2=\"24\" y2=\"17\" />\n", + " <line x1=\"10\" y1=\"5\" x2=\"24\" y2=\"20\" />\n", + " <line x1=\"10\" y1=\"7\" x2=\"24\" y2=\"22\" />\n", + " <line x1=\"10\" y1=\"10\" x2=\"24\" y2=\"25\" />\n", + " <line x1=\"10\" y1=\"12\" x2=\"24\" y2=\"27\" />\n", + " <line x1=\"10\" y1=\"15\" x2=\"24\" y2=\"30\" />\n", + " <line x1=\"10\" y1=\"17\" x2=\"24\" y2=\"32\" />\n", + " <line x1=\"10\" y1=\"20\" x2=\"24\" y2=\"35\" />\n", + " <line x1=\"10\" y1=\"22\" x2=\"24\" y2=\"37\" />\n", + " <line x1=\"10\" y1=\"25\" x2=\"24\" y2=\"40\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line 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class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-4e628891-4f05-4752-88d7-a0b3707ec61c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e628891-4f05-4752-88d7-a0b3707ec61c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-704828ad-617e-46da-9c6f-8f8a88d1e7ba' class='xr-var-data-in' type='checkbox'><label for='data-704828ad-617e-46da-9c6f-8f8a88d1e7ba' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>vertically integrated graupel</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vgrid :</span></dt><dd>atmosphere</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" 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class='xr-var-dims'>(time, level_full, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(7, 9, 65536), meta=np.ndarray></div><input id='attrs-e4e86085-f0e7-4331-bb52-5df72a4ecaa6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4e86085-f0e7-4331-bb52-5df72a4ecaa6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be4bface-8b93-4f01-b753-55581f8ec6ba' class='xr-var-data-in' type='checkbox'><label for='data-be4bface-8b93-4f01-b753-55581f8ec6ba' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>specific rain content</dd><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>vgrid :</span></dt><dd>reference</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 11.29 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 90, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 751680 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal 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style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"84.948598\" y=\"60.361214\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"164.948598\" y=\"27.654906\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,164.948598,27.654906)\">90</text>\n", + " <text x=\"7.474299\" y=\"52.886915\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,52.886915)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qrvi</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-2d1ec460-fe61-431b-929b-d936b3d5e0b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d1ec460-fe61-431b-929b-d936b3d5e0b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fb37e12-b91c-40e0-b89e-3fd1b4dc1a2a' class='xr-var-data-in' type='checkbox'><label for='data-7fb37e12-b91c-40e0-b89e-3fd1b4dc1a2a' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>vertically integrated rain</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vgrid :</span></dt><dd>atmosphere</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" 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for='attrs-f6d79636-3f19-4aaf-a72f-bfc66306a126' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1486ae7d-9ff9-450d-9211-790d133c1098' class='xr-var-data-in' type='checkbox'><label for='data-1486ae7d-9ff9-450d-9211-790d133c1098' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>specific snow content</dd><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>vgrid :</span></dt><dd>reference</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 11.29 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 90, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 751680 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"2\" x2=\"24\" y2=\"17\" />\n", + " <line x1=\"10\" y1=\"5\" x2=\"24\" y2=\"20\" />\n", + " <line x1=\"10\" y1=\"7\" x2=\"24\" y2=\"22\" />\n", + " <line x1=\"10\" y1=\"10\" x2=\"24\" 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transform=\"rotate(0,164.948598,27.654906)\">90</text>\n", + " <text x=\"7.474299\" y=\"52.886915\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,52.886915)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qsvi</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-b8f987a8-9b40-4720-b75e-bd4859b7be45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8f987a8-9b40-4720-b75e-bd4859b7be45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f960f06-e2e3-4364-b11f-7fb10670b47a' class='xr-var-data-in' type='checkbox'><label for='data-4f960f06-e2e3-4364-b11f-7fb10670b47a' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>vertically integrated snow</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vgrid :</span></dt><dd>atmosphere</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " 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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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>specific humidity in 2m</dd><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>vgrid :</span></dt><dd>height_2m</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" 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y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rlds</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-23db13f3-8f5a-46f1-bd18-cc9b182da42c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23db13f3-8f5a-46f1-bd18-cc9b182da42c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-608690b7-d242-4eb4-ad6e-9d2888941dc7' class='xr-var-data-in' type='checkbox'><label for='data-608690b7-d242-4eb4-ad6e-9d2888941dc7' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>surface downwelling longwave radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_longwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rlus</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-5a1659f7-d297-4820-9741-526af4e13eac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a1659f7-d297-4820-9741-526af4e13eac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6d20a4f-4e56-4ea6-b0eb-4ef78a73e0bb' class='xr-var-data-in' type='checkbox'><label for='data-f6d20a4f-4e56-4ea6-b0eb-4ef78a73e0bb' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>surface upwelling longwave radiation</dd><dt><span>standard_name :</span></dt><dd>surface_upwelling_longwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" 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<line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rlut</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-ce9f2344-0144-4070-9808-ea23a86c347e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce9f2344-0144-4070-9808-ea23a86c347e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52681f22-86fb-451c-b709-d287199b84b0' class='xr-var-data-in' type='checkbox'><label for='data-52681f22-86fb-451c-b709-d287199b84b0' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>toa outgoing longwave radiation</dd><dt><span>standard_name :</span></dt><dd>toa_outgoing_longwave_flux</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vgrid :</span></dt><dd>toa</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" 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id='attrs-0f214ebf-b3e9-4783-b37e-bab114a32c08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f214ebf-b3e9-4783-b37e-bab114a32c08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f0398ed-45a4-42f3-a3b9-1034449a1091' class='xr-var-data-in' type='checkbox'><label for='data-7f0398ed-45a4-42f3-a3b9-1034449a1091' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>surface downwelling shortwave radiation</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" 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class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-ae716839-8496-405c-8700-e48d7e57dd08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae716839-8496-405c-8700-e48d7e57dd08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d4f8759-acdf-495a-9276-5aec25d80467' class='xr-var-data-in' type='checkbox'><label for='data-8d4f8759-acdf-495a-9276-5aec25d80467' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>toa incident shortwave radiation</dd><dt><span>standard_name :</span></dt><dd>toa_incoming_shortwave_flux</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vgrid :</span></dt><dd>toa</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" 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"</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsus</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-d383f24d-d146-4813-9562-9c3f897649b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d383f24d-d146-4813-9562-9c3f897649b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c51b76f-6cfc-480e-be7f-0439e2a8fcaa' class='xr-var-data-in' type='checkbox'><label for='data-6c51b76f-6cfc-480e-be7f-0439e2a8fcaa' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>surface upwelling shortwave radiation</dd><dt><span>standard_name :</span></dt><dd>surface_upwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" 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class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>toa outgoing shortwave radiation</dd><dt><span>standard_name :</span></dt><dd>toa_outgoing_shortwave_flux</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vgrid :</span></dt><dd>toa</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" 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for='data-0aa20e31-3f54-47c3-81e5-e9d38c8b65ea' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>jsbach</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>additional heat flux at surface</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" 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style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>seb_heat_cap_box</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-85a30826-5409-4da2-8adb-28eec2fcf962' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85a30826-5409-4da2-8adb-28eec2fcf962' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdedc889-9656-42c6-a741-51b1d11daeb6' class='xr-var-data-in' type='checkbox'><label for='data-fdedc889-9656-42c6-a741-51b1d11daeb6' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>jsbach</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>surface layer heat capacity</dd><dt><span>units :</span></dt><dd>J m-2 K-1</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + 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120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sfcwind</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-eec15745-f1cc-467c-889e-3c82a2f845f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eec15745-f1cc-467c-889e-3c82a2f845f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c049670b-3c71-4b96-a321-db466f95a810' class='xr-var-data-in' type='checkbox'><label for='data-c049670b-3c71-4b96-a321-db466f95a810' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>10m windspeed</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>vgrid :</span></dt><dd>height_10m</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" 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xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fa68aa6-519f-4759-b2be-81907f9186d3' class='xr-var-data-in' type='checkbox'><label for='data-7fa68aa6-519f-4759-b2be-81907f9186d3' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>fraction of ocean covered by sea ice</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" 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xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed213da6-d343-4865-bd3b-9a3db9b20e92' class='xr-var-data-in' type='checkbox'><label for='data-ed213da6-d343-4865-bd3b-9a3db9b20e92' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>sea ice thickness</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored 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xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b78d3ff-c463-499d-bad7-13f52f942b87' class='xr-var-data-in' type='checkbox'><label for='data-0b78d3ff-c463-499d-bad7-13f52f942b87' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>amount of snow that is transformed to ice</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>vgrid :</span></dt><dd>generic_ice</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" 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for='attrs-4c12b6ae-c49b-46e6-a748-e0e704e12f70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-959e3c67-6043-4636-8115-a1ccecbb3238' class='xr-var-data-in' type='checkbox'><label for='data-959e3c67-6043-4636-8115-a1ccecbb3238' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>sea water salinity</dd><dt><span>standard_name :</span></dt><dd>sea_water_salinity</dd><dt><span>units :</span></dt><dd>psu</dd><dt><span>vgrid :</span></dt><dd>depth_below_sea</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + 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:</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>jsbach</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Ground heat flux (old)</dd><dt><span>units :</span></dt><dd>J m-2 s-1</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " 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xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>jsbach</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>standard_name :</span></dt><dd>soil_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>vgrid :</span></dt><dd>soil_depth_energy</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 642.07 GiB </td>\n", + " <td> 8.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 5, 3145728) </td>\n", + " <td> (7, 5, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 75168 Chunks 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class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-0e90e6de-3f8d-4abb-b8fb-15a0b97bc2c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e90e6de-3f8d-4abb-b8fb-15a0b97bc2c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4296a610-32c4-4018-a5e9-4bc178af9579' class='xr-var-data-in' type='checkbox'><label for='data-4296a610-32c4-4018-a5e9-4bc178af9579' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>zstar surface stretch at cell center</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" 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class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, level_full, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(7, 9, 65536), meta=np.ndarray></div><input id='attrs-173e719b-7b02-4e3a-bcb3-1666647b080d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-173e719b-7b02-4e3a-bcb3-1666647b080d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2bb15d0-cdb5-4f3b-b25a-02acd9726089' class='xr-var-data-in' type='checkbox'><label for='data-e2bb15d0-cdb5-4f3b-b25a-02acd9726089' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>vgrid :</span></dt><dd>reference</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 11.29 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 90, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 751680 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" 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+ " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line 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x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tauu</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-8b0ba368-59b2-4540-b500-2f2be4bf8791' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b0ba368-59b2-4540-b500-2f2be4bf8791' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57c418d7-aa28-4e89-bed7-eece29d45660' class='xr-var-data-in' type='checkbox'><label for='data-57c418d7-aa28-4e89-bed7-eece29d45660' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>u-momentum flux at the surface</dd><dt><span>units :</span></dt><dd>N m-2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", 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y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tauv</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-1c7b19eb-ce86-45f4-88f2-fb9dc8299b67' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c7b19eb-ce86-45f4-88f2-fb9dc8299b67' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e92bdb8b-b981-4a92-87c0-bc610771aa3e' class='xr-var-data-in' type='checkbox'><label for='data-e92bdb8b-b981-4a92-87c0-bc610771aa3e' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>v-momentum flux at the surface</dd><dt><span>units :</span></dt><dd>N m-2</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tke</span></div><div class='xr-var-dims'>(time, depth_half, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(7, 11, 65536), meta=np.ndarray></div><input id='attrs-e38eb284-9b4f-441c-a72c-b0fe2818e02e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e38eb284-9b4f-441c-a72c-b0fe2818e02e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1c43be3-3d55-4799-b361-efc52ebe4c2f' class='xr-var-data-in' type='checkbox'><label for='data-c1c43be3-3d55-4799-b361-efc52ebe4c2f' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>turbulent kinetic energy</dd><dt><span>units :</span></dt><dd>m2 s-2</dd><dt><span>vgrid :</span></dt><dd>depth_below_sea_half</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 9.15 TiB </td>\n", + " <td> 19.25 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 73, 3145728) </td>\n", + " <td> (7, 11, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 526176 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" 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y=\"52.886915\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,52.886915)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>to</span></div><div class='xr-var-dims'>(time, depth_full, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(7, 9, 65536), meta=np.ndarray></div><input id='attrs-63f9e2e9-1186-418b-8cc4-182944bd81f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63f9e2e9-1186-418b-8cc4-182944bd81f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a965b1b7-50a6-4ffc-a90e-5c8f6921b3aa' class='xr-var-data-in' type='checkbox'><label for='data-a965b1b7-50a6-4ffc-a90e-5c8f6921b3aa' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>sea water potential temperature</dd><dt><span>standard_name :</span></dt><dd>sea_water_potential_temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>vgrid :</span></dt><dd>depth_below_sea</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 9.03 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 72, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 601344 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"3\" x2=\"24\" y2=\"18\" />\n", + " <line x1=\"10\" y1=\"6\" x2=\"24\" y2=\"21\" />\n", + " <line x1=\"10\" y1=\"9\" x2=\"24\" y2=\"24\" />\n", + " <line x1=\"10\" y1=\"12\" x2=\"24\" y2=\"27\" />\n", + " <line x1=\"10\" y1=\"15\" x2=\"24\" y2=\"30\" />\n", + " <line x1=\"10\" y1=\"19\" x2=\"24\" y2=\"34\" />\n", + " <line x1=\"10\" y1=\"22\" x2=\"24\" y2=\"37\" />\n", + " <line x1=\"10\" y1=\"25\" x2=\"24\" y2=\"40\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines 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meta=np.ndarray></div><input id='attrs-1186f036-b236-4b24-8719-33413a824c1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1186f036-b236-4b24-8719-33413a824c1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27b67f2d-c7ae-460c-a74b-2636af2e8118' class='xr-var-data-in' type='checkbox'><label for='data-27b67f2d-c7ae-460c-a74b-2636af2e8118' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>surface temperature</dd><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" 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class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(7, 9, 65536), meta=np.ndarray></div><input id='attrs-3e254e7e-a51a-4401-9188-1f02c9980fab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e254e7e-a51a-4401-9188-1f02c9980fab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19038faa-73ea-4516-9c99-0fedc9ea2b63' class='xr-var-data-in' type='checkbox'><label for='data-19038faa-73ea-4516-9c99-0fedc9ea2b63' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>u zonal velocity component</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>vgrid :</span></dt><dd>depth_below_sea</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 9.03 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 72, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 601344 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" 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class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>vertically integrated barotropic zonal velocity</dd><dt><span>units :</span></dt><dd>m2 s-1</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" 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for='data-d677f9a1-527b-4bc8-9d61-0b06c1b75b31' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Zonal wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>vgrid :</span></dt><dd>reference</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 11.29 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 90, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 751680 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"2\" x2=\"24\" y2=\"17\" />\n", + " <line x1=\"10\" y1=\"5\" x2=\"24\" y2=\"20\" />\n", + " <line x1=\"10\" y1=\"7\" x2=\"24\" y2=\"22\" />\n", + " <line x1=\"10\" y1=\"10\" x2=\"24\" y2=\"25\" />\n", + " <line x1=\"10\" y1=\"12\" x2=\"24\" y2=\"27\" />\n", + " <line x1=\"10\" y1=\"15\" x2=\"24\" y2=\"30\" />\n", + " <line x1=\"10\" y1=\"17\" x2=\"24\" y2=\"32\" />\n", + " <line x1=\"10\" y1=\"20\" 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:</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>zonal wind in 10m</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>vgrid :</span></dt><dd>height_10m</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " 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:</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>v meridional velocity component</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>vgrid :</span></dt><dd>depth_below_sea</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 9.03 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 72, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 601344 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray 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xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56df6b09-f883-4f5e-a56e-41282026d591' class='xr-var-data-in' type='checkbox'><label for='data-56df6b09-f883-4f5e-a56e-41282026d591' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>vertically integrated meridional zonal velocity</dd><dt><span>units :</span></dt><dd>m2 s-1</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line 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</th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 11.29 TiB </td>\n", + " <td> 15.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 90, 3145728) </td>\n", + " <td> (7, 9, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 751680 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"2\" x2=\"24\" y2=\"17\" />\n", + " <line x1=\"10\" y1=\"5\" x2=\"24\" y2=\"20\" />\n", + " <line x1=\"10\" y1=\"7\" x2=\"24\" y2=\"22\" 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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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>atmo</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>meridional wind in 10m</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>vgrid :</span></dt><dd>height_10m</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + 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for='data-7c41079e-753c-43a6-9201-b66dfe124603' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>vertical velocity at cells</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>vgrid :</span></dt><dd>depth_below_sea_half</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 9.15 TiB </td>\n", + " <td> 19.25 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 73, 3145728) </td>\n", + " <td> (7, 11, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 526176 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"3\" x2=\"24\" y2=\"18\" />\n", + " <line x1=\"10\" y1=\"7\" x2=\"24\" y2=\"22\" />\n", + " <line x1=\"10\" y1=\"11\" x2=\"24\" y2=\"26\" />\n", + " <line x1=\"10\" y1=\"15\" x2=\"24\" y2=\"30\" />\n", + " <line x1=\"10\" y1=\"19\" x2=\"24\" y2=\"34\" />\n", + " <line x1=\"10\" y1=\"22\" x2=\"24\" y2=\"37\" />\n", + " <line x1=\"10\" y1=\"25\" x2=\"24\" y2=\"40\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " 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<tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 11.41 TiB </td>\n", + " <td> 22.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 91, 3145728) </td>\n", + " <td> (7, 13, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 526176 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"194\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n", + " <line x1=\"10\" y1=\"3\" x2=\"24\" y2=\"18\" />\n", + " <line x1=\"10\" y1=\"7\" x2=\"24\" y2=\"22\" />\n", + " <line 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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zg</span></div><div class='xr-var-dims'>(level_full, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-21350421-9870-4c36-b957-86613aaf5ec1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21350421-9870-4c36-b957-86613aaf5ec1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09787979-2f08-4910-9082-726f8da92233' class='xr-var-data-in' type='checkbox'><label for='data-09787979-2f08-4910-9082-726f8da92233' 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>geometric height at full level center</dd><dt><span>standard_name :</span></dt><dd>height</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 1.05 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (90, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 144 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" 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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zghalf</span></div><div class='xr-var-dims'>(level_half, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(31, 65536), meta=np.ndarray></div><input id='attrs-e70d0391-fe11-4acd-9ee6-18f28cdb1088' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e70d0391-fe11-4acd-9ee6-18f28cdb1088' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f70515c5-bc75-4608-bd70-9522c55a9985' class='xr-var-data-in' type='checkbox'><label for='data-f70515c5-bc75-4608-bd70-9522c55a9985' 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>geometric height at half level center</dd><dt><span>standard_name :</span></dt><dd>height</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 1.07 GiB </td>\n", + " <td> 7.75 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (91, 3145728) </td>\n", + " <td> (31, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 144 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" 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x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">91</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zos</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(30, 65536), meta=np.ndarray></div><input id='attrs-5cfa5c09-f898-4d2a-a037-8c7f4b8b74bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5cfa5c09-f898-4d2a-a037-8c7f4b8b74bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eaa77ebe-5b3d-4ac4-8229-015de793bc5f' class='xr-var-data-in' type='checkbox'><label for='data-eaa77ebe-5b3d-4ac4-8229-015de793bc5f' 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>cell_methods :</span></dt><dd>time: mean cell: mean</dd><dt><span>component :</span></dt><dd>ocean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>zstar sfc elevation at cell center</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>vgrid :</span></dt><dd>surface</dd></dl></div><div class='xr-var-data'><table>\n", + " <tr>\n", + " <td>\n", + " <table>\n", + " <thead>\n", + " <tr>\n", + " <td> </td>\n", + " <th> Array </th>\n", + " <th> Chunk </th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " \n", + " <tr>\n", + " <th> Bytes </th>\n", + " <td> 128.41 GiB </td>\n", + " <td> 7.50 MiB </td>\n", + " </tr>\n", + " \n", + " <tr>\n", + " <th> Shape </th>\n", + " <td> (10958, 3145728) </td>\n", + " <td> (30, 65536) </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Count </th>\n", + " <td> 2 Graph Layers </td>\n", + " <td> 17568 Chunks </td>\n", + " </tr>\n", + " <tr>\n", + " <th> Type </th>\n", + " <td> float32 </td>\n", + " <td> numpy.ndarray </td>\n", + " </tr>\n", + " </tbody>\n", + " </table>\n", + " </td>\n", + " <td>\n", + " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", + "\n", + " <!-- Horizontal lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", + " <line x1=\"0\" y1=\"1\" x2=\"120\" y2=\"1\" />\n", + " <line x1=\"0\" y1=\"2\" x2=\"120\" y2=\"2\" />\n", + " <line x1=\"0\" y1=\"3\" x2=\"120\" y2=\"3\" />\n", + " <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n", + " <line x1=\"0\" y1=\"6\" x2=\"120\" y2=\"6\" />\n", + " <line x1=\"0\" y1=\"8\" x2=\"120\" y2=\"8\" />\n", + " <line x1=\"0\" y1=\"9\" x2=\"120\" y2=\"9\" />\n", + " <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n", + " <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n", + " <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n", + " <line x1=\"0\" y1=\"14\" x2=\"120\" y2=\"14\" />\n", + " <line x1=\"0\" y1=\"16\" x2=\"120\" y2=\"16\" />\n", + " <line x1=\"0\" y1=\"17\" x2=\"120\" y2=\"17\" />\n", + " <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n", + " <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n", + " <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n", + " <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", + " <line x1=\"0\" y1=\"24\" x2=\"120\" y2=\"24\" />\n", + " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Vertical lines -->\n", + " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", + " <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n", + " <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n", + " <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n", + " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n", + " <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n", + " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", + " <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"25\" />\n", + " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", + " <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"25\" />\n", + " <line x1=\"62\" y1=\"0\" x2=\"62\" y2=\"25\" />\n", + " <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n", + " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", + " <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"25\" />\n", + " <line x1=\"87\" y1=\"0\" x2=\"87\" y2=\"25\" />\n", + " <line x1=\"92\" y1=\"0\" x2=\"92\" y2=\"25\" />\n", + " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", + " <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"25\" />\n", + " <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n", + " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", + "\n", + " <!-- Colored Rectangle -->\n", + " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.41261651458249 0.0,25.41261651458249\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", + "\n", + " <!-- Text -->\n", + " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3145728</text>\n", + " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,12.706308)\">10958</text>\n", + "</svg>\n", + " </td>\n", + " </tr>\n", + "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-ae213a50-068b-48f9-b6bc-3636b6d0c84d' class='xr-section-summary-in' type='checkbox' ><label for='section-ae213a50-068b-48f9-b6bc-3636b6d0c84d' class='xr-section-summary' >Indexes: <span>(8)</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>crs</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a535a1e2-d5e9-46f7-a8f9-1e72b0e4a3ff' class='xr-index-data-in' type='checkbox'/><label for='index-a535a1e2-d5e9-46f7-a8f9-1e72b0e4a3ff' 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([nan], dtype='float32', name='crs'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>depth_full</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7a80eec3-61f8-4c6a-890c-97ecd2db4498' class='xr-index-data-in' type='checkbox'/><label for='index-7a80eec3-61f8-4c6a-890c-97ecd2db4498' 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([ 1.0, 3.0999999046325684, 5.449999809265137,\n", + " 8.100000381469727, 11.050000190734863, 14.350000381469727,\n", + " 18.049999237060547, 22.200000762939453, 26.850000381469727,\n", + " 32.0, 37.650001525878906, 43.79999923706055,\n", + " 50.54999923706055, 57.95000076293945, 66.0,\n", + " 74.80000305175781, 84.44999694824219, 95.0,\n", + " 106.5, 119.0999984741211, 132.89999389648438,\n", + " 147.9499969482422, 164.35000610351562, 182.25,\n", + " 201.8000030517578, 223.14999389648438, 246.4499969482422,\n", + " 271.8500061035156, 299.54998779296875, 329.75,\n", + " 362.6499938964844, 398.45001220703125, 437.3999938964844,\n", + " 479.25, 523.4500122070312, 569.5,\n", + " 617.0999755859375, 666.2999877929688, 717.1500244140625,\n", + " 769.7000122070312, 824.0, 880.0999755859375,\n", + " 938.0499877929688, 997.9000244140625, 1059.75,\n", + " 1124.5, 1194.0999755859375, 1270.699951171875,\n", + " 1356.300048828125, 1451.699951171875, 1556.800048828125,\n", + " 1671.949951171875, 1796.449951171875, 1929.5,\n", + " 2071.39990234375, 2222.449951171875, 2382.89990234375,\n", + " 2552.89990234375, 2732.5, 2921.75,\n", + " 3120.60009765625, 3328.85009765625, 3546.25,\n", + " 3772.449951171875, 4006.949951171875, 4249.14990234375,\n", + " 4498.2998046875, 4753.5498046875, 5014.0,\n", + " 5278.60009765625, 5546.25, 5815.75],\n", + " dtype='float32', name='depth_full'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>depth_half</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4febc73d-4229-4494-84dc-b9d5384f3c4c' class='xr-index-data-in' type='checkbox'/><label for='index-4febc73d-4229-4494-84dc-b9d5384f3c4c' 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, 2.0, 4.199999809265137,\n", + " 6.699999809265137, 9.5, 12.600000381469727,\n", + " 16.100000381469727, 20.0, 24.399999618530273,\n", + " 29.299999237060547, 34.70000076293945, 40.599998474121094,\n", + " 47.0, 54.099998474121094, 61.79999923706055,\n", + " 70.19999694824219, 79.4000015258789, 89.5,\n", + " 100.5, 112.5, 125.69999694824219,\n", + " 140.10000610351562, 155.8000030517578, 172.89999389648438,\n", + " 191.60000610351562, 212.0, 234.3000030517578,\n", + " 258.6000061035156, 285.1000061035156, 314.0,\n", + " 345.5, 379.79998779296875, 417.1000061035156,\n", + " 457.70001220703125, 500.79998779296875, 546.0999755859375,\n", + " 592.9000244140625, 641.2999877929688, 691.2999877929688,\n", + " 743.0, 796.4000244140625, 851.5999755859375,\n", + " 908.5999755859375, 967.5, 1028.300048828125,\n", + " 1091.199951171875, 1157.800048828125, 1230.4000244140625,\n", + " 1311.0, 1401.5999755859375, 1501.800048828125,\n", + " 1611.800048828125, 1732.0999755859375, 1860.800048828125,\n", + " 1998.199951171875, 2144.60009765625, 2300.300048828125,\n", + " 2465.5, 2640.300048828125, 2824.699951171875,\n", + " 3018.800048828125, 3222.39990234375, 3435.300048828125,\n", + " 3657.199951171875, 3887.699951171875, 4126.2001953125,\n", + " 4372.10009765625, 4624.5, 4882.60009765625,\n", + " 5145.39990234375, 5411.7998046875, 5680.7001953125,\n", + " 5950.7998046875],\n", + " dtype='float32', name='depth_half'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>level_full</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3158bc92-b110-49a0-9e32-0ba6112b62d4' class='xr-index-data-in' type='checkbox'/><label for='index-3158bc92-b110-49a0-9e32-0ba6112b62d4' 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([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18,\n", + " 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36,\n", + " 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54,\n", + " 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72,\n", + " 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90],\n", + " dtype='int32', name='level_full'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>level_half</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e1bff636-e9a4-4f58-b2ac-1694d258eedd' class='xr-index-data-in' type='checkbox'/><label for='index-e1bff636-e9a4-4f58-b2ac-1694d258eedd' 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([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18,\n", + " 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36,\n", + " 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54,\n", + " 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72,\n", + " 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90,\n", + " 91],\n", + " dtype='int32', name='level_half'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>soil_depth_energy_level</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c2d22681-b402-4948-a7e2-4f1deb75e090' class='xr-index-data-in' type='checkbox'/><label for='index-c2d22681-b402-4948-a7e2-4f1deb75e090' 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([0.032499998807907104, 0.19200000166893005, 0.7754999995231628,\n", + " 2.683000087738037, 6.984000205993652],\n", + " dtype='float32', name='soil_depth_energy_level'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>soil_depth_water_level</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7e947235-de05-4578-b75e-774955350eab' class='xr-index-data-in' type='checkbox'/><label for='index-7e947235-de05-4578-b75e-774955350eab' 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([0.032499998807907104, 0.19200000166893005, 0.7754999995231628,\n", + " 2.683000087738037, 6.984000205993652],\n", + " dtype='float32', name='soil_depth_water_level'))</pre></div></li><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-ae2fe4c1-8051-4c31-9bb0-77385be3eaf8' class='xr-index-data-in' type='checkbox'/><label for='index-ae2fe4c1-8051-4c31-9bb0-77385be3eaf8' 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(['2020-01-02', '2020-01-03', '2020-01-04', '2020-01-05',\n", + " '2020-01-06', '2020-01-07', '2020-01-08', '2020-01-09',\n", + " '2020-01-10', '2020-01-11',\n", + " ...\n", + " '2049-12-23', '2049-12-24', '2049-12-25', '2049-12-26',\n", + " '2049-12-27', '2049-12-28', '2049-12-29', '2049-12-30',\n", + " '2049-12-31', '2050-01-01'],\n", + " dtype='datetime64[ns]', name='time', length=10958, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-320df53b-49d4-4937-8127-6e232626d3f2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-320df53b-49d4-4937-8127-6e232626d3f2' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>" + ], + "text/plain": [ + "<xarray.Dataset> Size: 232TB\n", + "Dimensions: (time: 10958, depth_half: 73,\n", + " cell: 3145728, level_full: 90,\n", + " crs: 1, depth_full: 72,\n", + " soil_depth_water_level: 5,\n", + " level_half: 91,\n", + " soil_depth_energy_level: 5)\n", + "Coordinates:\n", + " * crs (crs) float32 4B nan\n", + " * depth_full (depth_full) float32 288B 1.0 ... 5....\n", + " * depth_half (depth_half) float32 292B 0.0 ... 5....\n", + " * level_full (level_full) int32 360B 1 2 3 ... 89 90\n", + " * level_half (level_half) int32 364B 1 2 3 ... 90 91\n", + " * soil_depth_energy_level (soil_depth_energy_level) float32 20B ...\n", + " * soil_depth_water_level (soil_depth_water_level) float32 20B ...\n", + " * time (time) datetime64[ns] 88kB 2020-01-0...\n", + "Dimensions without coordinates: cell\n", + "Data variables: (12/103)\n", + " A_tracer_v_to (time, depth_half, cell) float32 10TB dask.array<chunksize=(7, 11, 65536), meta=np.ndarray>\n", + " FrshFlux_IceSalt (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " FrshFlux_TotalIce (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " Qbot (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " Qtop (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " Wind_Speed_10m (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " ... ...\n", + " vas (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " w (time, depth_half, cell) float32 10TB dask.array<chunksize=(7, 11, 65536), meta=np.ndarray>\n", + " wa_phy (time, level_half, cell) float32 13TB dask.array<chunksize=(7, 13, 65536), meta=np.ndarray>\n", + " zg (level_full, cell) float32 1GB dask.array<chunksize=(30, 65536), meta=np.ndarray>\n", + " zghalf (level_half, cell) float32 1GB dask.array<chunksize=(31, 65536), meta=np.ndarray>\n", + " zos (time, cell) float32 138GB dask.array<chunksize=(30, 65536), meta=np.ndarray>" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "icon" + ] + }, + { + "cell_type": "markdown", + "id": "4b6086dc-0c9a-4f95-9dd5-99a41f112108", + "metadata": {}, + "source": [ + "Helper function for plotting. Taken from https://easy.gems.dkrz.de/Processing/healpix/healpix_cartopy.html with the colorbar added." + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "8885faa0-5681-4097-87ce-d128956e578f", + "metadata": {}, + "outputs": [], + "source": [ + "def worldmap(var, **kwargs):\n", + " projection = ccrs.Robinson(central_longitude=-135.5808361)\n", + " fig, ax = plt.subplots(\n", + " figsize=(8, 4), subplot_kw={\"projection\": projection}, constrained_layout=True\n", + " )\n", + " ax.set_global()\n", + "\n", + " imsh=egh.healpix_show(var, ax=ax, **kwargs)\n", + " ax.add_feature(cf.COASTLINE, linewidth=0.8)\n", + " ax.add_feature(cf.BORDERS, linewidth=0.4)\n", + " fig.colorbar(imsh, label=\"K\")" + ] + }, + { + "cell_type": "markdown", + "id": "55649e39-f7a7-48b6-a1a7-5238ae01ffec", + "metadata": {}, + "source": [ + "Plot time step 10 of surface air temperature." + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "f8bf4c2a-27c0-48b8-b4b4-b39ce1e57412", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/headless/envs/magic/lib/python3.10/site-packages/xarray/core/indexing.py:1430: PerformanceWarning: Slicing with an out-of-order index is generating 81 times more chunks\n", + " return self.array[key]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 1.56 s, sys: 502 ms, total: 2.06 s\n", + "Wall time: 1.68 s\n" + ] + }, + { + "data": { + "image/png": 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sswVTz6HrGRAGHuDi4bhz1EoHEHqKbPt6tHQHTm0CpzaOWxgB5Tacc3bZc+noPh8AmxICHYWHQI8C5T1sADzloEnFxObPLtKji/Szmad7yWXY5cO4tSlcezYgN7P4o1Bg6lkMI0s23c9Ax+n0dZ0NwpjnZQT/2RUSgLg8E+aT+3isTzMJCsdH89gJP9eD54qrRDRWpBJ4CnRBQAx9uEqQ0iUa/vNHKf+5ET7/04bEk/527SkXT4poscKTksnCDpacOsE111zDunXreNvb3sYVV1zxe220JXhmIiQph3/53GNGUgZOuykhKQlJSfCr4IknnuBLX/oSX/va11BKsWnTJu69636GOlcjpcfY3AGOHzyD89a+GD2Y5UQ0wdUntJKjU/M0yo6/Wpw2PEzNnyprnr5g4K4m6hNdiDBr0NFGcfgbTwlcqWFokpqnI5U/4eqaQilFzZ5iqrSPycI+Jgv7mS0fplybQSERQue4oUtYO3w5nhKRhh7qk/a0KygEhguwoA4b/IDoVl2QM7zImHCkiP6HxoMhQhlIrA+ivmh8HRKIkJSYmorOLfxMD/pPEwpDUxFRWYikNPdnM4GJbxNdA4g8LIq6sREnMv52ooGkqoCkeKrRqxKPSwixWF+wyOdHM9IWeh/Hk6XKXYjELITFgqDnZYRaIAFDuIp9NMnfk/VD+F3zdovJuxqlcfWd2m6Rmx58F2FeLk1YCCEw9Cy2M0sut5yW/Hoy+VUYZt6XQUkXoSSuUDg62IZCmGlM0mgBMfGw0bHQ0KioGQBcWUbX0ijlYWl5VLXIzO7v4VaOAGCm+8gYrcwVdwAw1LGOi096Dw/N6kyKCWqUsVUJV5VxZQEpbSy9E0fO4dZGWNpyGQAHa3cipU+ElHRRlTkozmD2rGcgd25DNq947IWJgaF0XOExyRgAHg4aGrYqY4h0sF0aA8vvB6eCpXQ6UkPUvDIPPPxOUlY3+fxxtKT7MawOhNFGNtVNp5kjpxWZLO5h26GfM13cha5ZnLTuL2jJrmy4jkaMQMShx67rQgkJ4os58QWa8HnhjxkVkYrwvRD1e0spsD2PUnWCkj2HbnbRnTY4OL2LfKqF9kyefCaPJIOpKcwYYVnIQ7vQuBQCbLfKE4cfYDa7k61bt3LFFVfwtre9jdNOOw2x0MMpQYL/YUQk5f7n0try9Kt7zBVdBk5PSEpCUhI8KWzb5nvf+x5f/vKXufvuu1FKYdv2otu3ZTr4wPP/BiH81TUhoOxo/kSoqchYLbk6jiewPQ2pBIamKDs67WkHTagF05ZCPXXpQkay/7lv8C40suOToxYY7Lqm+Jcb3glAa7qToc41GOZqzNQwptVNPtVGtTbKHVs+zIvP+Aym0YJS4EgNVwkmPUkFG0Pp5IWJJqAa87DEZRUhmiU7T5YZK67jDtsefh6dC/WVzLQhMTSJqSk0oTA1iRG8DsleszHQ3I/w1ApOxrf3pN+7/l8RkcNmb0tISLwYQXGkmGc8NRrMTX0SM84MMV+mFO+76HxEo2EU9/yAv6IbGnNygb9+mxRPFqzfjIXITJyUxD9PYczT9T9ZfZWnGm+0GFFR1MngQtm0NOChbR+jXB1leOgPSXWdzIyYpKVQYnLqHtzyYSq1UTxZI4rZWARrN36cVZlBjrgONeEgkbg4uDjUKGGrMgCGSGMoi1r1MBNPXElLbjUD+bU8cfC/ABjoOJl8z/OotrQx7j6KpqXo1tfhR/Lo2AEBEuh4OOiYKDxcHDR0dMxAVmcSRv/45xtGaXgN7z0cmmuZhL8JSZaB1fC5gUkKixQGBgJbeZSFjUQiFORFlhahMS39vsAp89gjH2jor+72k1jecw7DnRtwyUQEPn5tFyIXce+nf41FRCxCzPeeNr4Pn5VSKaaLI8yU99KZG0QzV7D3yA3sHPkxrleed40NvQVNM3GcORQeppEnl+6nPdvL6SufT2++CwHoWn3xJDwP/7hhe+KeX/jIde/hwQcf5Ctf+Qrf/OY3WblyJW9729t47WtfSz6fn9eOBAn+p5CQlN8MEpKSYFGMjIzwpS99iS996Uvk83n++I//mNe97nV88U3/xpX3/Cd9+X76WvtY3rWcXKqNXCqHri1Ur6AuB4B67AHQEKMQyrjCEdnsNfGNx/r6W2gKxbdxpRYZVQsFcoeeg3A/SgkqrsZ1D36RicIhnr3pE+QtA09CxdMxhKJol9l7+EfsHv0pqwcvoatlCf3t60mZWSxN4inBSMWgGq2M+9rtdGARVqUvDWuOMZEoP1tTYGSbAWnylMCWjVK0hYx1Q/jxO6GBEhIRUws8KAEhCSf40HMSGvOhYRB6OqBx9fJoaCaI8WuklMANiIeM/tfJY+gxCr8PNekLkYEQYcxFKGUJSUl8LITnqsUMHr2JlMT7z29vXKIWHjeUm8zPPLVYO5ulYv5x5pOWo9VRWSg1dJzMGtRfL4SnIvNaaNuaU+bIzMNoZju62UYq1Q3CwEKjqtyoXSNHfszooevI5lZg5pfhOrPoqXayA+egoZGnC8+r4lbHGN9/LaXyrugY3V3nkkr309pxCsOZQcalTYkSNtXI4J+Zup/i6B3oepZ8dgXFwg4q1UOgPJb1PZfTVr4SKed4ZO93KVaPcGR2DwBnrXkVnR3PwxCKihQUpcRVkprwqU9IgGyq1FQhIi4AuvA9JaIhxqROWEKE8i51FCLqqBJC6BikkXjowsQkHXlTDN//QlZZpIVBVbnR9bXQcJFUvDJ79nwVx57C88rU7EkuPv1rpPQmCZ6oPzvj9/GTkY44BHVPawhdU9F3IZSSXHPvX1OuTWPqORQSKR2kcunJL6HiFCnX5pDKQyBQKPKpdnKpPJbZgRAGVXua8cJ+pPLoaunnzRf8ZXTPmprv2Q3PZT4Bb7yvw1OquTX6Luvni1/8Itu3b+cNb3gD73jHO1i3bt3iJ50gwW8IIUkZvfeiY0ZS+s/8eUJSEpKSIA6lFHfccQef//znufbaa3ne857HO9/5Tp73vOfxpSv+KdquMZbE/xsnHwvFmjQcJ/a6OQD71ylQp5i/fhuPhwjbGWqi3WDF35UCpQT377mFO574IWkzT1tugKzVSdWtUa5NMV3cC4ChpWhvWUGpNknNmWPT8pdxwvDZGJrElRqOFBRtg5IXGvz1lX4z5s0IDYGKq0fGOtQN7ThhCMlWuM1Cq6WaqBscumiUdYnYdmEfNJM/qHuYQtlFfIU9fv3iWb5ChPKusG+VIvKShB4TRZ2cLJRutuFvYPQ3B4XH+7NZHx+eezzeJh7w3ZwEoDl+JpSdxWNllPI9K3EyFbbTbvD2qOhvs1clTkqeLHXsvGxKQdakuOSr2aMS9tPRPCuV6mH2j/4Ez6sAsHLgYjpaVkVj7ZG93+TgWD3WA6GTSvWQSvfT0XM+ZrqXfU98DjPdg260IISGlA7FqQcAaNn4Okyz3fcmCJMc7cjyJPu2fira5XDfJXQPv5gaNu1kGWM6klJlSKMpwa59X2N28h7/s/QAaweeS3/78WR0h3JthKniASaKh5goHKBYnSKX7qYtu4T1S16EmVrFhOtSFFVsapEXJYxzkcrxjWvlBONAQxMmQuhogSdFCC0iKwsVPPTFfV4DUfGw8VQNS+RxVAmFxBDZaH86VoPHxiLte1aUMY+AhklDwB9jnrS569G/4LihS1na9xyABmM9fl8vhPC5EIdqGj8CnyREzxRRf44YmiSlS1pMj9HZPWzefx+PHNpMxsySz/Qy2LGe1f3PJmWaGMJjujzDXPkguyd2MVvcwVRpBMfzPe6res+kLdtDxtRY07OUoc7V0TNbFwpTD55bsXOsP/8aF7MWIjKnvu9ZfP7zn+e73/0uF1xwAe985zu55JJL0PWFC1cmSHCskZCU3wwSkpIAgGq1yje+8Q0+//nPs2/fPt785jfzJ3/yJ6xatYorX/2JaLuFCEWkT6bR0wHzCYpvDPrGbKh3rq9g+9s3y40Wq8/wZIgfW9GY4jZawQ/lSUpQqJYZnT3MWGGEPeNbmCweoVSbASBrtdHeshTbqVB1ClTsKU5bcQmnrXwertSounpD0Gfoxal6GjVPa1gNDCdc9yjpesNA92bEje24jluPGePNkqcni9dpJjMNq6gsLJuLe73icUFxYhJ6TRarhQGNBCVe+2SxmAsrImW+58iMkZMwFif0ID0Z4u1ujpMJiVWcrDhSi7w+btPu4+RqsXiVX6fGShg4HwbMh+THETLap6H0KCtTSugNZEYoyQPbPkapvCfaZ1fbiZy57r2REWh7FX76y3cseHSQWOl+7OooAGa6F6c6hpHqomvghcyM3UqtchjdbEEYGZQmwHPxqlMQq/vRveQlrOi+mJomcXApMosVeBwkHgYWutIoTNzH4f3fBuBNz/43ytUjfPuevwegr20dXW2bSKWXkcosRRhZNAQlHCpUmWYUV1V9IoHEk1UkTkAqvOBaS4QwfQIh0hFZ0bEikrIQQYkXQgzJiqccPFX1SYrWFh03JD2aMCNZmREjKgYmGZXCFHpDwU4DgRF6VQMPx+HpLTy8+0v0tq1n3dLXkDJbSelynoewmYw8GeJkJR6bFi6i6KJOVHzpqH9vKWWzY/Rxth3Zzu7x7RRrcwx3rGRZ1zp6W4dY0dmLK7qZrqYYm76VHz/ybZZ0ruCCNc/lm/d+xT+epnPi8OkMtA3TketkVc8q0oaBpdVJSuj5DYmLFv1tlOtC47lf/Jk385WvfIUvfvGLmKbJn/7pn/LWt76V9vb2X6l/EiT4VRGRlLuPIUk5OyEpCUn5Pcfk5CRf+MIX+PznP09vby/vfve7edWrXsV1b/8sUF8lD1/H0bAa3fC6bpDGtcUEn4fGeShjCuNHQkM2jvDdvBSo8W2aJQ6LTNjxrGBRIH2MrISEZWR2hB9uvhohQq+AS9WpUqxNY+opzln7MpZ1b6Q1ncMNPAO2p8UCxevHcYL9hseOt83PjjNftvFUjI7QKI97VuJeAr/v1LyV03hMS9z70hw0HyePIcJtvOCcw/3FPWhxr4lUftxOSEz8a9DYjoWyFM07V+oGSVoDS5M+YQlJiqaic4lkbdRXnOPHi84xTrJCL1AsbiYK4I9lHXNi3qFQjtccP/NUicqvkgUsnoI4jJZwcYP2exSnNlMsbENHB6+GbU+xZtkbyWeXcujIjew+eHXD/tpb1nHehr9oMHRrbhXbmcOViqJTZqy4g9nSDqrl/Ti1CY5f+xeMTd7J7NwWXKdAaPQDpDpPoK/7Qjy3REXOgm6SSfVz6PHPzDuX4TXvINW6ApsqHXTh4GJTw7VnmT70U4ozjzDU+1yW913E+u40uvC484n/Zv/kNmZKo6TMFjJWDx6CqjONlC5oBi1dJ2MNnoFUDi5VlPLwVA2pqn4tk3jyAmEghImGia6l/b/CbCAocY9W6F1RTTEqIVGROBik69vHyI5fpUWfR1LicSpxT2Eo+wyJiFJQtWfZvOcbjM/tYFnveSztPoOulmH/+RQIrJplWyGaR1mzB7TeJ0SkpO6V9O8hM2iLEciyBH5soVCS2coEO8e3sWd8F0fmDjNeHKe7pZdLT347A62dXL/5Gzx66AHefdEHuGXbTTxy6KF5bXzr+e9mdc/SqB6TKRS6qEtz9aZ7uvnebl7L0YTC8STpP1zP5z73OR588EHe8pa38J73vIdly5Yt0EsJEjx9hCTlyF0XHjOS0nfOzQlJSUjK7yd27drFZz7zGf7jP/6Ds88+m/e///3MfvOXxKe6cGAsJL9ylRYZqKEnolkipJTLWGGMgzOHOVIYp1ArcWD6MGesOJNzV5wOxFbeVePq3rzML7FjNwQ/00hS5hn8Tb+Lp8aNy8BCwjJWmOS2Hbfx2MijuNJloH0p3S393L/ntmg/pp7iovUvA3xiogmDJV3Hoes5AGxPw40Zt6GhG55L2KdxYlc/z5j2+km8AQvJmcJ9NxOdZrmXJuorp+E+moPdw/cChSs1sqYbkTGfWIr5JCV4HZ7zQoHoUTtj57IYUQnjUAj+pnVJSldYmmwwqI4WcxOed/1YAUGhUeIVly0uFOjvSg1P+sTLUWJePZfmGJU4UWmuvbJQlfRQ7rVQQdH4NhIPT7nMjd/F9OgtaJpJquM4NGFhijSz43cyMHg5w90XIKTL9NxjjBW2YAqLfG4VnekeCqXt5FO99HWcgBBadF/U+0tQ8HzjueiWKVcOYcsKysxz8MB3KBe2+xsKDat1JZ0tG7EwQOi0tm+iMPMw+w76HpHeVa/HsrrQprag9ZxOKtUL+DIvJyBb+7Z/jmLR32dv+ybOWvduujI2Kb2eAa/m2uwY/SW3b/vmvHFiWO0MbfygL+/CwVGlgKQ4EbnwvSihxKpOUPxMXHVCUe/3Ro9KSEzi1y0MpA/TE8d/G+6vXpKzTlLC7GChNyXuRdEDkqLh358KAUpy/87/ZM/YHdExXn7OF9A1M/IgwtHlXaGnMET8vm3wpsTuLy3w6gAN91YkxxJgab6UVRewb2ov33vo+4zOjpIy03TlejgwvReAP33Wu2nP5DkwfZCJ0hQz5VnW9h/Pqp41pPU6GTFinpzws7hXBULPSuM8sBAksHPiIJvz01x77bX84R/+IR/4wAc45ZRTFvlFggS/HhKS8pvB0+/JBL9VuPfee/n0pz/N9ddfz8te9jLuuOMOdn7mRxS+9cvAGPAn37r3RKCL+qTgG20CV0omSrMcnBnjwMwRxgqTlJ0yZbtKyS5TtitMlacXbMMJQydhByvsIUEJUZ+ERJPsKJaJKCapkoAWN0Aja9wnLB4wOjfGZGkS27OpuTYpI0VXtoP90wfYN+X/L9bKaEJQsiucsmQTrz/rVSztXEnZs5AKLlh7MYem9/Lt+76E49V4/NDdKIKVTqfCLVu/wekrLuLcNS+g6mrUPB3b01CeQC3g9fCNeNWQajfuHSG2bTPiJEQhmSmNMls+guNV0DUwhE7GStPXupxMKhcZFo378Hs3NECkAkdpkcfH/z6UbWnYniBrgi21eVKoODwpfOKgKaTyHzChxyi8iM1yrxCL1WWIx/Vkg6xlKUNGq6txotJgxCxAUqTyazsoQi+Kv2//WoYSKX8AxUmLJ32D3RMCkAglEFLz63CEg7OJaIWeQh3hf3cU0hkavS7OIt/XjWPHmWH/Ix9DaClahp6Fme6hNPsYzswepD2LYXUyNnE7I4e+RzrVRybdRz41QGfbRlJGC/du+RApqxPXqzLUfTZrB5+H7RTJpbvQNZ9ol6pjbNn7TVzpMVN8Al3P4LoFANLZ2Gq0ktizOxmd3Uk6uxRNT7P/4Ldp7zg92mRm//VoRo6s1YG77/t4XgnXLSGVi2l1kLV6aEv3RCRF4AGSqhsEt4c3uEizvPcsaq5k19gvmZzbTWt+DS2tG5DpNmpTW5GyFgR1V0C5wfhI+emMrQx6rhc04UvMRDogDOlFJF56rN+9gEDqwetm6E2/bSQ88escklRNaDjKg0DKR7BwYgE1T8MQCj0gCzWn0kBQ2rKDSDlH1mxHITCC9O2hbLMux6x7sDVRf+8pv3VhkpG4N9IQElOXpHUZeU/8fQXNDNoggs9cCRK/vUs7l/PnF70XV9ocmhnhwNR+unJd7J/eiysd2rPttGfbG4LgQ3+viN2zIvoftCuKV5ENz0dg3vs4lBIc3zPE8QzxrBcNsq3H4/zzz+fMM8/k/e9/Py984QuTFMYJji2kWnhl99fZT4LEk/L7grvuuouPfOQj3H333bztbW/juL3Q09I+z6gKEcaH+LIKm33To+yeGmHf9CgHZo5wcGYM23NosbJRcGKpVsb2Go2sllSezlw3XbluBtsHWdt3PN0tvVFsShgEWV+lm685jiOczJrbW3aqHJg+yN7JfUwUJ6k6VSpOhWKtyERxgu6WbizDIqWnOFI4gu3aLOtawvLOpSzrHKYl3YZSktZMK53ZDqA+KbtKYAdSn1KthGXkCOuA1DwNKSU/f/y7PHLgLj5w8T+CaKHsarhS84mKiku5YivqscxX4fkK5ge9NxevDPc3WdjD7Vu/xWx5jLZsPykzjaGBlC4Vu8BkaYKell6Wda3g7FXnM1uZwdBT5FIdpK1OPKUjY3Ej8XgSX/6mzfP4LJQhK/55nFiGMrd4sHzofXCb9tds9IUrymGfpYKkAxnDw9B9Q0qPyU/q/RW0o8lrFkc49sJrAPUscfGsb0DMa1S/Xk7QNzXP7zcnJn0L41Uk4MZ8InGPStyT4renbrouhnhaXNercGjzP4RnirByWPnlDLc/m7TZzradnyPfeRKiYxnKLkJ1DirTzM1tIZPqx3ZmcNwinV1nUprbTs2ZwtAzaELnWSd+jLJopepM8+CjH0TX0uRyK2hdcglO2qJaOcTMtm+wcu37cN0CM7MP49gTmFJnrriN9IoL8coTOEceQaDT3baerJml5EFWk0gENWcO262gVA3XrUTXpDW3kpOWvZiBtl6Ktv9MsZqyWtWTTCjKtSn2TjzC4ektVOwp0CxSehqEgS4MdM3PkyaljSdrFKtjVO0pspklWC3LyLWfQHvrCZixtbqFvFz1vq9fg7jkayHEA/CjOjgNsi8jOq6pgnTFQoviiSwBKQ0yuhfd/5bmMlM6yMTcNo7MPMbY3G7OWf1ilvc9i7TR+MysS2jF/LEekY3G+0ITipTuYekSU1ek9HrMl+/dIJJkhQRcRoklGp8NjhSYmgpka0THDX8TPlfqEi4avCeaqHtPojYEBGXBxBhPQeLrt0FQqJX58fb7+dmhLQwNDfGRj3yESy+9NCErCZ4WIk/K7c85dp6UC275vfekJCTldxx33nknH/3oR7nnnnt417vexcbdNvlUFggnsLjsqZ7laKZW4dsP3cTWsT2MzE6QT2cZbutHKkXRrlGya5TtEjW3Qj7VSndLD935Hnpbuulq6aEj10VHtgtTT0VGYXN+/niRx3jgN8S8JrFzqQf6SraObufhQ48wU5mhVCsyNneE1kwbSzqW093SS8rMkjLSpMwMw52ryVq5SEYglT9x6pqIJtBmnXOI0NMTOgKUElScKodmDnJoej/7p/axb2o3pmbwwhNewtqBTb7cSwUxLjHDF/wUyYtJMp4su1YY8O9IDds+wjfv+ggre0/mjDVv4EihgK7GqXoGGV1h6FCqFbl/1zU4Xon+tuUcnNo+7/wG24Z5/Xnvp+ZpUb0aW2o4np+tzPbmrxnHSVc8W1i8onRc4rZY0Hx4TnGE5CQ0hvzrDhnDQxc+SdGEwtJ9KUpci99cDM7/bSMpDPuUeL/GzqtOUhoJixcnLbKeYjn0KnnSP2+pfG+Tq8AOduyicPHHXU24C8ajNBOVZsnXQgQm5RmktAytIsMsVaaZZHLX1ZRnt5HqWIdAQ8oalqdTLGyLftfWdhKV8l5sZ4YVS19HyZ1GAGOHf8qGdR9kaetqAA6M38pMcQ8z5RGEEGQ7T6EgxykfvpvOlS9jaufVCKFhtq2gNrODztYNzBV3kV1xCXbKQ7NdxNw4wnWQsgqujYaOmR2gloKs3guagSNLCKeGO7ODUmk3Zxz3l/S0rgwMU0VNBrVIAsIZxZGpuhSwxfDQtXocVvwe0yNPgKBYnWJsbjdHZndyYPwXDPZcRHv7yXTkVqFrWsP4dPFTGTuiTk9c3AaS4sZqp0RjrkH2VScodZISir/qsUbxTG7+9pAWGoaAVPDcyplelCRCKrj1sS9wYPJh1vSfy4UbXo2pyYg0hHWcfE9HPS176DGB+QsnYRyKrvl1lnKGF2XdsmKxKNG2NErAoDGmMIw9dGV9Xmk2NsL7KoqBCY4RBe43ERVLSIRQpDWfvGmoec/TqO8XaBPUn7dV1+En2x/g2n0PMzg4mJCVBE8LCUn5zSAhKb+juPPOO/nIRz7Cvffeyx+sOok/PP4M8ulcPcNVjKCExtpocZpHDu9ly+huHhrZwaquJfTk+5ipVpkoTnJoZj+GZrKiezmrupezsns5A60DpM10ZMzHY1RgPjnRNH+yNAO9c+gZidcCia9827JuKErg51t/yr2778AyUmwYOpmuXD+6nqW/bSn5dLufJjYMzG8KwIxLCUIZgwZ+PIzy22ZpipzhRTElAFXP45GDD7NrfCd7J/cxVhinLdPKko5hlnYuZVXPSrpblyKEiZT+5ByuFoaxG/F21Y3kmCehSZ4UD2oGogB9V/pyJU/CL/feyi93/wCpPDShk0u1B7EUEiH8MO6lXWs5Y+VlTJUrPHrgRg5NPYbt1ouvnbjkfJ6z/uWR5yQ0bsK2Vl0taHPdEIe6vj1eyyUkCWasYGdouIfGZehNaYYZEBOfdNQ3CGNNLL3uSTFj2Y3i6ZTne+WOnqJVNV2TOGmpe04aPV5SCeJpluMxK811YAquiGrnOGo+yQi9KkBk9sbjUkJj2G+Th1udpFbcj/KqaJ6DdKsYRo7W9AApqxNNGLhuCccex/MK1BQIzWL/we/WD6qZCM1EeTVS6X4sPYeuZzH0DNnsMtYNvADwCZYh/GtVs6fZf+QnFCuH0DSLnNXO6sEX8+DOz1Mo7QbNAOmgGa0M9j6Xg6M/BlkFI41ItSDMLCmrF1sVATBEBs8tId0CyrXRtBSW1YXrzOIU9pNf+kJO6305VkBYm4dLSADDsVdVbuSFMGIUtbn+UHwhxJOCmeI29o3dyuHpLaTNNjYuv4Lutg3RuHakoCobSaYj/OxkYQHKhQo/wnxyEn7W+Fpr2D6lTHQEjpDUsNHQyCoLQ/gkIys0Wg1JzvTIGB7FyijfueejACztXMX5a57D8p4TqLhaJJUL5ZmLeWz95/B8QqcLRUpXZE0v8oaYgaRssTiR5oWmhrGu6l5JGXimQxIT98KEz+YwHickKungnm/RHSzNCz73Go7nH0OLeWjCelixBZMFiFLVdfjx9ge5Zut9LFm1kg9/+MNcdtllCVlJ8CshJCljtz37mJGU3mfdmpCUhKT8buHhhx/mgx/8IHfffTfvete7eO9738tDH/ysv8IWTJxR0DOwb3qcD9/4dSzDZLI0y4quYQzdYq5aplArgFKs71/Lqu4VrOpZTn9rdyRl8BQ4SkSrd17McG0uLBauxsVT68ZTEHtKsWfyIEcK40yVpijWSuiajq7pKAUVp0zFLrN1dAuvOP1PGOxcA2gNk2/c4Gw2UsMJNJQwKAjkCCpqdz2drz+JW8GE/dCBB7nyXj9DUls6j67prOhaznmrzqZUnabs2JhmjqyZI5PK0tXSh6EZ0QqilDBVmmH/9F7aMx3kM22Ajq4ZpE0/BqChEJ9oFGKEN2ijNMsnLuOFMfZPPkGpNodUFY4bOIXu/CoADE1ie1oD6fDv9hq6qJIyWpAKLF1GgeFuZNDU0wiHco6QwMSD4ettrnswjHAFk3pChbDGiP+9H18SSrGsGOmIy1RCQ0UTfhvThucHywfXNaxu759X4I0SjfKUOEEVUVsVCxHGhbKzxQlLPQNczIuiGtMXx/vLkb5XSioiY7e5lkpcAgbMk4GFhjDA+IHrmBv7BSLdhpbtRmgGeB7USuBWQboo5eJ5NTrza1ne91wGOk9irnyAvUduxUYnY3bQkV9Ha245hmY2jLuaU6ZSG0MIndbsMKZWNyJrbpl9R36OYeRpSfchvQJKObS2nsLIxC2MHLmJqjMd7StltpO22smm+shnh/G8OWp2ASmr2F4VTVj0tK0nbeXwvApThV3kUh30tW9gruK3QdOzmHoL+exKqvge2bTmk47wutkS5qRLp25Qln7RVFhAPki9DklWlxhCYelBogXl8sThW9i893p6245n47KXk0r1RpnpQgmfrfzrdzTvykJoJifxz0PoweuUMiJSIpUkLQxa9HomOwgIQmDAf++eD1K2ZwFoz3bzzov+Gqn8ArUlp9FQCu+rEJ4UEUnR40Vgg+/De8fUFBlDYjXXYSIMnlfRM3Ne8o8FvMYNtYjiJD9slxLRQlboQUkFxCSteWR0P9bI1OSCXpTm9Pgh6scTC2wrqLkOO04Z4BOf+ASDg4N88pOf5LnPfe6C1zRBgmZEJOWWZx07kvKc2xKSkpCU3w0cOHCAv/mbv+Gaa67hHe94Bx/60IfY/MHPBsZk3bCSCGarVR46tIsHDu3k1t0PAfDcdefheB6Pjmyj6lQ4bekJnLpkE2t7V0ZV5BvlLz5BqRttfkxK0S7Rle1C1/SGDFKmaIytCPXJrhSU7CrXbv4e20e30tc2RFumk6yVx1MenvSQSpE2c6TNLN35IYY7j4skOeFKuiv9rFMp3WvwmIQrg/VaGyoiL3GjNdREhzK0UGYQGt8Vu8L+6X1sP7Kd23b8AoCObBsdmXYsIxUkCygzWZriuL41XLz+Iiw9haalmakWuereK2lJtVKqFSnW5qJ+OHvluVxywmVomhkZxNBI8OJ3qIpN6LZb45M/+dC8sfDK01/Hsp5TKTp+7ZYwE09Y68BTUHZ00kaYJCGW4SwgKnYg//KzlxGRlFpAeOIPjWZjIC7/CD0bcRIR7i+l+8H1uqgXq/QNlFidBK0uKwmlXn6b52vuw9/4bfCPY4QFNEXjtQ/bGUec7DY/FOP1U45GVuKpi10pokxgtpxfALK5Sn28AKQUKqiW7kbB9FLa7N/ySXLtG3AGlgaZqvR5NT+80hiFXT9EuUWMdC8rus5luPscMLvxpIcIArWVUpiaYLq4k9HpXzJy5IagHw1SqR7O2vBxdCGwvQr3PvY3oJloZgtubQrNyGKXD9E/cCnjYzeRH7oIq2MdtiqhZA23Okl5909p7zyDC1a9lvt3fYuRidvQzTz+pRYsXfFmxvd/l1JlBDPVjePMoFl5ZHUKTUsj0q1IpwSeQ0fbJrq7zqav7WSsBRa44+OvKGUkbwrrxYTZszJBjEtal75kkLoEqurMcf+u69g7fj+rB17A8v4X4YpU5FGyVf26SXzvWHidmuV6C0m+FkIzsQkr0ltB1q8qklZNo9Xw5U2W5re7M2Ozb2Ir1z7wBSwjg+1W6G0d5rXnfhBdqEC6GchLg/uvsaaVH2wfX8wxND+rV3gfhUTODJ4bUfFYGqWV9edkrJhqLK5wIX9EfeElfN9IWsLrWZd8yYikpDQPU/OigPrFaiItJvNqJivNktCq6/Lohm4+/vGPc/bZZ/OpT32KjRs3LnoNEySAhKT8ppCQlN9yzM7O8olPfIJ/+Zd/4SUveQkf//jH2fUP/w+oTwSe8o3NR0YPcNVDP2fb2AEG23rpzLZTtqvMVGYp1kqcMnw8Zyw9kY0Da9B1s6H4ob+fYJWdoK6IEjiexwP7H+KOnbdzZO4wmqaBgu58Dy87+SUMtvXwr7d9menSDJ+4/B8ij0sYszEyc5Dv3P91OnI9vPDE15C22gAiGVYc8UllsQlGETNURT3D0kL66ZCohCQlXtlYBFKTeHxIOAHvHt9FWyZPX74n2hbAk5JP/eyfqbk1BIKaW6Pm1pBKcfGGF3L26otwPIGUvrFdqE3zrz//FK8+8/VsGDg+6uPwjETsGsZRqBbZMvIoWw5t5vDsIVJGGl3TMTSTtJnijGWn053vJ5tqI221oWtGFOQfxoo40vdwZAyJp/y0yQoikuKGMhHqcTTxei/h6mfcEIhfi7ghE/YdNFbMlqqeXcw39usrvRoKXYsVdAskX/FkAvG4lziai1OG9R/iMSwLSQCJ9XezFCxE6OmJx6Y0S8DCGIA4UYnHUbiq7lXxz7XxPOLpi0Ppj0Ry5MD3KBd3Y66+EBX1rYcIany4cwdxjjyCVxoFBLqZR29bjj3xCACW0YrjlenpPIuWzDB7R64lm11CsbgDw2gFzcC1pwDo7TiN09a8A8dzuW3LX2PXxgDoW/Iy9N7jKRd2MfPENzFyQ6Q8RbplNdbSZ1GSY5T33Yw7uxcj08sJa/4KSk/w+N7/ZHjdO5m2ZqjObKe692YMPUemfQOqbzWOVsGrTeGO7URN7wOhYaS7cL0S2KWob9auehcD7SfPS7jgZ39b+HkQv76hl88KSErcwA4TVhyZ2cddO75DqTZNx8ALOHPw+ZQ9jaoMvQf+2LWDmJU4qYxDX4ScxKV9cZlYPU2xQUqZZIRv6LTpvsQzb3qRNDZleMyV93DNvZ+K9nvZyW9hTf+JDeM3LlttfpaESSfCeyIk9PWaKYpUEPwe95oImhclGj0nccISXwiKb19vU8xrGbvf6hkMA6kewTNAk1jCCyRfMnYstei+6/uNH2v+8ZsxWy1zc7fg3//933nVq17F3//93zM0NLTo9gl+vxGRlJ8fQ5JyUUJSEpLyWwrXdfn3f/93PvrRj7Jx40Y+/elPM/fF7wPxIGXB1vFD3L53GzsmDvPExCEu3fBsNg6u50eP3czmQ1s5aWgd5yw/kdOGVqPrqVhcyfxCjW5MzlKoVXlg/0Pc+sStCCE4b/WFrOs7gUOz+7hhyw+Yq87yrNXnc9P2m6M2r+pZw0RxAtdzcKXLks4VTJXGWT94Es9e90JsaWAH1dmbjd943ZP4ynzofTA0FU3IIbmARm+KF8RzNEurQoQfhwauFtgYShFbiW/MPhYGexL7bTMcKakXhPMnyIMzo/z40R9wpDDKX138l6QMA8f10DR9wYkz1FkrBP/3xk+QNjNsHDqJnnwvxeocheosc9U5CtU5ZitzzFVnKVQLKBQ5q4V8upUzVpzLqcvOjuImwlXW0DMQGt5hcH7oUQmvfyg1C/s9HGtxrwnUvSVxwtdguAhV90io0Nvg90sUKBys3MaJihGs8kZ9oub3d8P1jMaMijxJ8RoPcTlYuH18d6GHKTzP+mfxqvT14pbx7Ghxz1RYBDIeVB9mOQsRr7ES/g0NYFd4FEt72L3tU+TXvxrPDHvaA3SkrOGNbsWZfAKhJNnOE8n1n4VK5/CUQ2X0fhAauZY1eJrEHt+CXTpAy8D5uNVxCiO3AjC4+m146Ryze69DeA5nr/9bwOAXj7wPJ5BytS+9FL1rDUooVK1AbXo75ZFfoButpHJLcKkhK7OsXfl2UplhsprFocM/Yqa0k/TqS7GVTzisqot3+B6ywxczY0xQ8yaRbgGhWahqEXvnzViZAezKCHqmF2G14JXHUE6RbG4FPZ1nMdx5Fi2WP3mHyRbi4yYOT4b9Gz4jfO9AvWBgY1Y911NsOXgbD+/7MRtP/Kd59UygkWyGnpU49EUM4LjEz2nIAecjzPyVwcBAI6/7Wb6swPMYkoi58nZ+8MA/Nfz2tef+BT1535AOCXSz9zC+SBOv6K6JeqyeEfRPmFUvIgtNnhKIx5OopvcsSB4Wql3VjOaskyE5MzSJKSRW4EkJJV8LHSfEQkQo/PxoZCXc18jcDN8X01x//fX8+Z//OR/60IfI5XLztk/w+42QpIz//AJac8eApJRcei66PSEpCUn57cPtt9/On/3Zn+E4Dv/3//5fsv99JwitwZDylMa3Hv4F33joVi5YsYnVPUtZP7CequvyqZ9/mRWdg/zx2ZfTkck1rDj5v21ccXKVb2gVa1U2H3qMBw8+yvYjT9CX7+fcNc9h/cAmfrn3bm7e9lMqTnmBFsOm4VMZ6lhBR24ATbPQNZ1bt11L2S7ypvPeh8KIYi5CkhJf9V5ounfD+AXlp7t0QpKixQxPCAqi1dG8r2aiEicpoUencUIPt1XziEo861XUh/FjBdv89+YfsmdyD28/901krDS37biDnzx2A4Ntg5y69CTGChOMzI2ST+VZ3bOSYq3Ensm9tKRyPLj/If7hsn/AMupVruOGQUg0PSWZrRSZq8xxYHoPt26/kdee+TqWd6+Jgrsjr4kiIipKxaRKXt3IDklKs3wrfnz/HOsejHjtl3BbFeyr4uoUPEGhNklhdjMzxd1oRo7B9o0MtB2HaeiRJj2UfjWjwXsTM8aaCUxIVOYXf4RSdZJSrUhPvp+UYc4jK9DoYYHGuK6QcIWEJZSiNZCU4PPwdbwYJDQmE4hnlwo9KodGrmNk9Iek8qtIt61BtveCYSEwqE4+jHv4ETLpIVxnmvYlf0DZqCHdEpmWVVh6C2U1hSvLiKbVfV1L4x55nOKhm+lY8VJkew+GSjG34xpy2RUcv/SNCAWVyn4OTd7F5PQ9KKBl4HxkJodXHqNy8E76ui/gyPgtwXUwWNL7LJb1XYxpdVGsHOT+x/+BjrWvwk2n0LQMhmbRzRIAyhQoqHGq3gQR8RrfiaFlUdlWRKYDFQRJC8eDwhjO1BPYpYOsHn4ZUtq47iwr+55NZ64fXYuvxAdjjnpcVZw016urN8oBdaHYO/YQt2z9Jl19L8BzivRkh+loPw1dzxLW74nX+4l7x/wxt/gqfbNkzP+sHkSvKYEpdCw0WnRoNV10zb/vUroXtFuye+w+do7ej1IO+yZ3kEu1csqyCzlp2bPQNN9QintLmpNKCOr3QfjMM4Qfj2dFUsn6c2+hyu8LeUtCRMQl/lmTx/WpIk4oTeEhADOIVQmJymKZvhaaQZo9LKEMrLntIR4fG+GqyV3s27ePf/7nf+alL31pElyfIEJCUn4zSEjKbxFGRkb4wAc+wA9+8AP+7u/+jne/+93c+ad/D9SJRRh/IhH8xwM3c80jv2CgtYu/uPBNWEaax0Z3c83mH/Nvl78XFTxgPdVYZT6+wuspweHCLN964Ic8dngbA239bBw6kROGNtGa7UUp2D+1h6/+4l9Z2rmMsl3iBetfxN6p/dy58xaWdi7ndef8GQojMuRCA1cpiStddN3yjxUjGc2SnHrcCdF5hqREqTqxkYFXRY+t/pkx41bXVORRaZZ7QZ2ghBptQX0yi9dygfokFvfchO/DdsYnYS8w8DVg1/huvnzn/+PCNefw2OgOqq7Ni0+8nAPT+9g3uZe+1j76W/uZrsyye3wXKSPFur61FGslUmaKZ6991oIrkAr/nGox74ifYU1x166buHPHzQx2LGX9wEYqTo2SXaVs16i5FaqOjWW0kE+3s7RrDYMda32ZWFCcUgZEpp66dP4YjevSwz6rF54U0XW2pUbV1di8/wfsP3wt2VQ3tlvD9fyCgaesfisres5s8KQ0k5RQogPzPSj1GjyNn2tIpkuHGJ3diSZ09o4/xr6JxzF0C9urccLQGfS3DiMEZKwMx/WfiGUYCwbah9e0noq47l2JB9G7Xp38hWTP9jRqYWIF1ZhUIIqNof5aE2DXjjAx+whHph+kUB0h07KSSmEX0qvQ1X0enbnVjIzfQrG0Kzrnlv7z6Bi6mFl5AFeWg37wUxMLYWJoWXQyqMokMp0DoZDKwavNUNn+A7oGXkBX5znoVisuDp5yKU0/wtToz3Fqk2jpNvIdp1EavZ32JS8i27kRrzxO8cidFGcf5/jlb2So63R2jPyE3Yf8LGPp3lNpX/JCPGxa6SVNhioVCkziqiph7RFXlhFCx1NVUlonnqriqjJKSUythexMhdnRn5NK9WFoFhPT9zPcdQZ97SfQkl1Ge7YHIxikzWMwvHdDb0ozaRECpKyw4/Dd7BjbiaFn2Td+l99+q4M1Q5fT3n42tqbTrmkRyXRj1zIuRYu/D69tffv58UkhLDTSGrQY0s9spykyhht5Be/ddQP37vohAOesfh5pM8sjB+9HFzov3PQ6elr6oudoSMTChZgGsh7rI0NTpDUVJKnw2xEnJ2H/zYs/YT4WKrC4GGFZ6PuF9hc+n01Rz/IVxqZ859H7eXDkAJZu4ErJrulxZqsV1nb3c3xPPxt6Bzi+p5/eXL5hv3HCEp//mtNZK6XY96wNfOADH+CEE07gc5/7HOvXrz9KixP8viAiKT87/9iRlOf9IiEpCUl55sNxHP7lX/6Fv//7v+cP/uAPeInqpieXJwz+C6VdQERQlIKC7fDKb/0jQCQWAujJtfP5P3x/7LcLH1chODA7zSdu+iIbBjbw7LUX0p7rbsjitW9iJ9+89z9oy7RSc21OW34W561+Hp4SFGtFUmYOoixcMTJB3UsRZoAKjVAjtqIZkoiqq1PzBDVPj2QMSoGhK1wvrFUh6oHyol49OW34hf9cKbA0hS0FWaMxwD4+eYepiY0gyDzcRkXb1vuoOUBUBfuKS890oRoMl5rUMDXJnvEd3L7zFwy1D/LcdReiaRZhTZHwHIj9DuYbMeFqropdy7AtthTYXlD3JCAsFbvEg3tvYaJwAEPPoGsZlGjB0jNUVY6KU0R4Yxyc+CUvPf3PGOxYQc3TKNlG5BkIERVVi5MV5QXJB7R58QHQGKAvFTy094fsOfJzuttOwnZLtKS7GOo4jqHOjYQ1I4Ao81A8diCOuLQr/l6gqNgFth++m6niCIemd1Bzywy2r0Ipj/62FZyw5FxaUu0Uq2P86OGvY+kpUmaaXWOPoWsGq3qOo2yX0TWdgbYl9LcvoS3TQcrMkLPypM0sZaeG7bqkzFbCVMUE4yEe5xMmI6i6jSQlvLZCSVx7jJTVzmxpL3uP/Jy+9pMZ7j4bIfz00lJWODJ1N65XpC13HF2tKwALRwkmi/u57/EP+9fHbEW6FZRqLLCa6TkVY+hkJA4aJkLoCDSE0FHKw1VlPFnBndmLmjqIVxxFb+nHbFuB1b6GVLoXHX9hQUkHXaSZ2P416BhAtA+hlIuu59CKBSr7fk5P17ksH345M1P3sX3v/yPbehztubXYVgot3UEmM4ihtwR94Nce8bCjhAEKjx63lzmtSFUU8bD988OiRyzDxSFDhj2VO0mNHaRS3kulchAhdLrya1gzcCFLu9eji/nmb9wT2ExSjCC7VNb0GJ/bzVdv/1dSZoZqzFvcf9JfsME4DglYok5S4uTSEPVYFn9MNgaOu7HrT+xzYr8xBLQaHnnLJWX4me7C227zvpu4ddt1886tNdPJn130d1HwuaHVzzfMxhU+6+IZu+JZtcCXeWb0euvCZ7jWRFDiHtN4tsT4YkozKXlywrLw5CQE6PiZyaRns/nwbgSK//fgnQzm2zi+ZwAQrO7qQmntHJg+yBMTh9g6fpi90xMo4NTBZXzuRa9ccP8wn7DEUbSrfH3z3fzgiYd5xzvewYc//GHy+fzCGyf4vUBEUm44hiTlBQlJSUjKMxx33HEHb3/72xFC8JZlJ7FpYDnQGHcSEhOop5mM10AJJSMV28GWHgiDO/c+zoGZUYbaehhq62WofYAWqy4fUkrxwKEdfOuB6zhh8AQuOeEyZDBlKCVwvBo3PP5j7t7lZ7pqz7TzrHXPY+PwmVHa4HpBw8DLE+17vl7az8svG1b7nCAzlaJu3JYcnaqrY2qSMENN1pBMVCzKjk6Y0QnqaYWNoG5HWKkcIG95kbRMF/Wg0TCjTdXTyBqSsusb0xmjuXaxjzCIFoJic4jGQoTBdmFAfNnVoposhli4InOYPW2hGhEwP8g73H9oVJRdDV34JCWsq1LzNEpBti9Ll0xXLb/opBTMuXpgqPj7nCs8yj3b/5U/OuNvaU8LRuamqbkSpTxyqTyd2W5MI41ULrZbIWXkEEJjtnKEGx7+EnOVcXKpDvLpTlrSnRhGGtez8aRNS7qLvrbV9LSuxtQzkYcB6l6XeN2RsB8tzSeacU9XvT8WfoRpAh4/dCd3PvHf9LcvZ6BtFT1tq+hpXY2umZjBPsMgYb8NRNetUJ3k8OwhZsrTpM0crmczNref8bn9FGsFqk4ZVzpkzBwVx4+16Mz1Mdy5mq6WIbpaBujIDWAa+YCY1dM611zBRGkcR5lIrYXx2c0cmbyTQnEXUtqkrS6E0NBTXdQqh2nLDrF64A/YduAahIALN76frQeux/Gq5NIdDHeeQjrVhyMFc9UZtuz5D8ZntyzYL72dZ8OKZ1PxxoNz1tGEiVIejiwiZQUpa6D8QHBZm0LOHUEVp1CVOVIDZ5DuPxVVmaWw43sgNPRUJ27lCFrHEFrbIFq6Hc3I400fwDlwN0tWvoWl7WdSq00wPnUPFXuCcm2cSnUUz51DCBNNT6PpGXQjh5HqxEj3oHCRTpHS9KNo6LR2noJKtaB3rQVNw8OmV6wiQ5p96jGq7hj95sm0yzzl2igzMw8xNXY7nblBzjvujeTTrcG9I+YRgbhnTtf86ut+xiuFTpl/u+UfOW35c+jrehH3lI4wWX6EdNlBeTU2Db2cnK6iTG5xomIIP/VxvAAixJ/NjV66ZoSywBZD0pl2yJpuJGM1NcXWkfv44cPfoCvXxVRpKlqMEgj+7rJPomFgaD75sIJAeKh7UMBfBDCET04Wup+aSUj8udaM5mdf8+fx+7rxGIubIs2LECG++8gd/NeWu8maKbKWRc11ePPpL+CcpWsRKDK6Q9kVXP3IPYyX5tA1k4F8B1++7ycAvOHkc+nKtrBj8ginDS3njKFl5FOxeTAmBWuGQrB7apzP3X8zo26Fz33uc/zRH/1RIgH7PUVCUn4zSEjKMxQzMzN86EMf4qqrruLDH/4wm7bOYGh69IgOM3aFWIiY+NuFQfBBHRMEH/jBZzB1g1XdKxgtTDA6d4RCrch5K0/jVadcQtow+e7mn/Gjx2/B0k3+/rKP4+dX8Q3kfZN7uOaBbzNZmgDgsk1/yElLzkJoJkBEUCIJTKydXhALEcoPTK2eeQn8OiYVV8OWGhVHx9Rl5CFxPC2qhl60dbKmx0TVYs5TdBhQcAVpDfKmF0lwTE2SMvzJN/SudKZtSo5OS1CozCcPOjVXI2VIutIOVVcjY/htMXUVZQVqRty74qfE9D8PA9IdqVHz6oXLQtLWmnJJBXKKeB/FVy9d5XtCQjIXBrZC3WgI5VypILWqL/GCmqcxWzOiIoieElQcnZmaGXlDpm09KqJo6b6cRCnBriP38std30ShcD2bllQbmpZCE4KyPYftltE1E0/6K91LujbwrPV/zOa913JkZienr3k7tjNOqTZJoTKFK21ShoWpG8xVjjA6s4NCZZLu1qVsHL6QZb2nAXoDoQXmeU6aCUpzoG4IIRRVp8y2kbu5d+cPecGJb6O/44QoS5mlSySCsqNH4y9nurhS81eoRd1D5cWIrCNFlNYV/D4u18q47mGUGMBWBlNz2xib28Xo9GaUsilUZ2jL9rBu4ByW95xD2srz2MHb2TZyC+XaJCiFwiOT6qe3+3yqrb3k08tQk4+SEqB1no4tK8wd/CGjk79gsOscRibvRhM6ucwAg+3HM1MeZXz2Mdpzw/TkV9KRX4YQKe7e/iVyLWvQWgZB0zHzS0nlhnGo4mH7IiPloQmTjGinRXVSrO6lUNlFzRlDS7XR33IeR9Tj1EbuRU7s8fu7Y5hs+yaKe36E0TJEtvdUypOP4s7uAzMNTgWtZw1W3ya8mX04B++DgAhtOu6vmZl7jO62TWTT/UigMLeFzTv+ibb8BjyvjOvOUXNm0DWLXLoPK7uaTG4JnWYb03NbmC3toVgZJTf4bFK9J1KTMzhyliHjNDJk2CcfQQidDrGEDtVBTrnsOXAl47OPc+GGt9HfvqYhZikeTB1JOAPyauqSVPB/urCL/7jrq2iaRWtuJbOlvaSNNMXqJG1rX8O5bechhPKljLIu5dIQWAJSGsGiROOzJHxehghlVPHq8mGSiRCGqKcUN4N719AkpdoMtzx+NVPFw7zurFcz3LE8WsBI6YqM7pFq8pT4+5OktTDTWLjg1bi4FD53wnusnpI45jGlnhq8/pvFvSFx66M5hmwxhNdoslzgNd/9HH994Ws5cWAVQgg2jzxBezrPcMcA6YCMmTh85s7red3JF9CVbWP7xCg/2HovG3uX8PPdj7JjcoTnrtrE42MHODA7wfreIdZ09dKdbaEnm6Mr20J/vp0lbZ3B1Wxsm1Rw487H+fJjd3HOOefw+c9/niVLliza/gS/mwhJysRPzztmJKX74jsSkpKQlGcWlFJ873vf453vfCcbN27k3//931m5ciU3vflv/ZSSSqMq/UxRjltm+/gIT0wc4mc7HmCsOMNrT72Y81achONJJsozbD2yj+1je2lJt3DmspO4e8+D3Lf/ET76or8ilwoz4ygmikf45i//G4B3XfB6bE/y/mv/njOWn8XlJ78sZjxKPnL9X3LeyjO5ZccdALznog/RkevF1BVOIC+Kx59EhCn4TEA0uca9Aq70PSXtKZdDhTStKYet0y0ckVX6NH91yxTQZrmUXY0RW7I6Cx1pm8em/WBWV0FWIyILcQMcIGVILE1iS42eTK1BUhYlDohlAUvp9ew2UDcm4oH58RgM8D0YYT9UPZ9s1Txf4tWbtUnpiponSMe8M2VXi46nIkLjT9wVVyNryqieiF9UsVE+5//Ol5KFwe6hByilSxzppyDWg/05QV0ZpaDm6tiBAZ82/AKQVcdBegfRjQGUyFJ0/VoNnoJirYztFkkbGVIG3LPtcyhcak4ZqVxeetanqATyPEP4cpnQsI9qNniTHJrczKP7b6bszLK67xTOXvMKhJaaV98g7m3z+3w+OfGkx+3brmb/5Fbfw+NU6WtbyknLns9A5ybKjkHB0f1aC7H0s1NVi/5clbThEaYoDp+IYUa38LqHSRqqrkba8MltxdGZrFi+Rl5TlF2NGUdj94GraV3yYoZRFIpb2D9+CwentqMJg0yqi2WDL8FpW4Up0uRdySk9OrfO+BmfqpTQ0OmlG0d5FEQRA5Ocp5HSMxSLu8iaecYtg4ooofAwXEFtdideeQS7fJBSeT+edDD1FFJJdM1ESpdsbgVm3ym4bgHN9TBdD+mWKDtTVIq7UJ6NbmTREHjKQ3plMNKgG1ArovesJTV4JlnVQXHkNuzZXUinGFwFX8iUHj4X58gWMoPn4uRTZKwhUFDZ+zPcwggIkG6V7u5zWT78SoQweHTrR+jofTZu9xI0dLplD2PTdzNz6CecvOIVDHedwZzrx0WlNcktD/8F5doEQz0XUshmyeXX4aZ0POUgcVDKw1M10lon/dVW9u/9GoXKAU5f9Ro2DJ8dXeeGbE9NBnNY58nUJa2W69+D2ByY3Mv+6f30tQ4w2L6Uq+79OsMdq3m89XjONU/yvWaqnm46jDcxEGR1v5Bp2qiTlYbihqp+fF34tYFylkvWkBiaZLLiy+zShoep1z0brmdz3547uHfXTzlpaD1vOONS0mY2SIjhZ/ELK7enNI904G2uy7/qweh1KVro4RE017iKFgyie3FxM2Kx/TTEi8XiheL3eBzxYzhK54fbHuDmnY/w9xe/Fang5p2buX33ZjzlH2WwtZOsaZE2DIbbutk3NcLbz7oYHUnVqfKp269jVdcgLzvxfBA6nhJMlWd46NAuRubGmSwXma4Uma4UOFKYIW2YnDSwhE39S9k0sJRVnT1oon5uGz7xPt7znvfw/e9/n3/8x3/kHe94B7quzzuPBL+biEjKj48hSbkkISkJSXkG4eDBg7zjHe/gpptuIp1O8773vY/TdlYBP43t7qlxto0fYtv4IZ6YOMSh2QnUUVacWlI5VnUvJ2dluGvPL8mnWjh92cmcvuxUhtsHgcYVr4mKx7fv+w+KtQJSuhRrZV55+utY2bMaIRSOa3PXrtu44fGfBvr8IZ63/g9Y3rUaTQuK/QVFxOKFH6EeSB4P1Ay9AranYUvf0C47Ok6g3ZdKsL9kUVYSR3m4QYafDBYaUMJmbcpkd1WyLivYXlboCI5r8T0ztqcF+/fb0J52otW6rOFi6vUMNvXVy/rEHZ+wiZ1Lc+0UgYqkbbVAQhV6ksL0vpqAtpSDoSlKjk6b5VJy/SSlbSk35gUjCqwuOTo9GZs5x/DJklARSQqLq4Url6G3pOzoVNy60CJlSLIBQSu7OiXbnzQ70r4XxJYae2eykZHtSEE16Pus4THr6IxLPwbAVBoeKkrHmhYCSwMhSxwY+xmdLUMMda5DExkqrkbF00kFnjB/rIW1VXwCkNE9NFXhvl3fYf/E3aAU5657FWsHzkFbKCqfQFKnGlddXSl4ZN9PuH/3D1jRcxIdnS9goKWNTKo3Kg6pa1B1NUpecC1MjxbTlzOF3iYhFDVPjwzFcHyG8UVmKCMMvDA1T6fsaqQ0SdnTmfMUFeVSETUOH7iG3JKLSJMjR46UMtjQMseB2RJlrY+SJqlQASCvWtiYVzxe0BgT4zhUydCKTTVIRuv/T2FhKo2ysBsCzTV0JB6GSJOnCwOTkppF2QWMWgVDWIyP3sjc3BbasoN4SsMycphGjrTZEpynxq7R20iZXbS2b8K1LLzZXZQqI3R3noUna0gk7QPPw0ulomNSnmXf1k+CkQG3AlaOXO+Z2BNbyPeejda9hqK7H4FGvpZnev/19K9+E+P2Fmq7f07vspfR3XY6u7f9E609Z2J39mCKHFI59LKMnY99jOG+53PCwHP8bFhhnR93lsf2foOZ4m4UEtuZoyW3HKvzBLLdp+BqbpTuOGULqgdvZW7ucSwjy5KujQx3raEjN0hbphch9EXJSuhRsXRfahWSfqkEo8UKn7vp46TSwzzn+FdzWA7TbRjR+HYU2HJ+TZysJjAFZA0vIsvh8yXyhKv68S3Nj0HpzDgMZm3G5g5x7/6toFwmi+McmDnMWGGSJe29vP70S1ndszIK+A6fabqQmEJhBcUQtWDBI3zGpbR6jZfF6ossJEurPwefWmateO2ahRYjFkPz06AiDT744ys5fclxnL/yVD70o8+zcXA9h+eO8PrTL8WViocPPc5MZYa2dJ7B1k7WdQ8z3NYZ9InEUx7feuhWBHDW0rWs7h4Okp6IKJlMtMDmueyZOsSjo3t5dHQfW8cOYOo6J/YPs6l/KScNLGVNVx/7ZiZ5/fe+QjqdZv369fzHf/wHJ5544qLnleB3BwlJ+c0gISnPACil+NrXvsaf//mfs2bNGoaGhvjpj37MaUOr6cu3s238ELsmRzE0jZVdQ6zqXsLKriWs7R6m5km+cOd3yZgZThhcx4mDG8iYOb+ootCC+A+XfVMHWNq5DCsoINBQlE5BNQjo1bG5efvP6Mp1sXHoFCzDwHYq3L/vHm5/4lYKtSKa0FjRvZI3nvMnQcaqevraeDyBbDhH/68uiDwolubLbhwpcDyNiqtxqJjx2ycFFSmYkz5ByQgDiaKETQ6LVVmPyZrJyrYSRduk4upM2zqZwNjMGv5qeViQUBeKomPQmbaZqZr0ZGvkLC+STUS1PkRYF8VPx+nKeqyHn/HHPw9JPd5DQFR3xAsIWtnRkfgGsqn7cTMZw8NV9aKKYaYxXVNUHH8lL4yNCVd5Q0O54up0pm1MzScqYTAs+ESDoA3VIBNXnLiEq5RKQdb0ouOGQdxzNTMiJ6E3YE5K0qKetWiKerCwjkZKGXiBuZETZlTLIUz/Go4FR2rUZGM2IxtJGo12U/pxRp7AUC67D/+QQxO3k0t1c/LKV9GTHw48HGHtipAkzr+HXK/E3rFfsv3wXVTsEmtWvovB/DAlT9BpemQMyVTNrI9HfFlgWFCy6mloKCqeHnnfwsxPodEYxkBpQV97yic8Vdf3ktWCBAUpTfHI3m+jhp9NC220kMbwQ9MpBUHsFVGjSpk0WdrJ0mMIHnOnsEgxzRE8bAQ6bfSQI4epNDShReR8mkkqagYPG0/VgrFrkhN+gVGbEi10+a+r4xx67J8ARWfLEiw9h+2VcdwqVaeA61XJpXuQyqVcm+LZJ36cGbMbT3lMzNzH1NgtoBl4tVk8e4Zcfg1SuVRrRxBS4bkFjOVnI8w07uEtqOI4Rn4Yve8E9Fynfz97JTQtg+eVyKaW4coy7t670TyP7v7nsX/nl8gcdxnK0PwU5SJLWutkdsc16LUCZx33LvKZ4eDeA9tT3PjLt5AbvACndAhVnaGt91nMTtyJJdIMrnk7tqEoM4MtC35SAOnhFUfIzs5RLe2hWB0BYO3g8zhl2fMxjfSChrZP4H2i0JbyvRqWphgrTvKpGz/JmSd/marwGGEv+aDPl4quqFK9X0/FL/zoCEkKgzQahoCcrmi1XExdRkk/wkyGYcpvS5fkLYfOtIPnHOafbvosmwbXkrNS9Oc7WdIxyNL2frqyLYTRIpbmYQpfypjW3Khie7ymSOiJ1YWMzruejKX+19+2sU/C75vREEwfyekafxceeyHys/DSRH3fALbUKVQLvOzqz/DVl32AO/Zu56FDO/jDky6jPdftP+eMuqxtojTDLw88zv7pw7xs47Ppb22Pnum6UBRrJe4/sI0nJg6TMixeceL5ZKxMsMDhI8zMaAqJpzSkctk9edgnLUf28diRfXRkcrxg9UYuWrmBBw/v41u7HmRqaoq//Mu/5K//+q8xTXORM0vwu4CIpPzw3GNHUv7gzoSkJCTlfxf79+/nrW99Kw899BDVapWTTjqJuZ0HefjwHnJWmnOWbWRN9zBruofpbe1FCC0yAMO6C4o6MYC61yIeTO8FBm9zcLZftM/fPqwLEhpm44VR7tl9Bw/uvx/b842r9kw7pyw9nTNXnEcmlY/0x6HHIO498dtQR1iMKz55VVydgm1QdgwcKZh1dFoNv3DZzjK06wZHZDXah4NLCosVlkGr5SJQHKmkWJqvcLiYpiYFtvKDVTstl3zKpVAzqLg6eqDhLrsarZZLe8qJKk+HLQ5JQfNN4Uul/Gk1lP6EJCDsY9vzPUA1z4+lMUTd8NCFioL152oGuuZnLIvrsn2Nud9jFVfH0BTtKYeZmslczaQ3V42kSp7yiZ0EHC/IHBXGSrhaJK+Kx/9IVV8ZdqXvqalIQYflUXB0pjxJLVY1W1MCV3h4SIrMNvSHRRoDM7iuWlQhu9/yiWdal9H+M5ryUyIHBltZuVhCj+pIxGtLCK/GvsPXc+DIj2nNDrO85wwsI0fGytHTupzWdHskjYnXwRCBVMsULvft/iFbD93LGatfTSZ3CjkzJhOJvCL11NQhQQs/Dz0v8eKTYUCxnyXOT5/sKUHecnE8DVOXUcxUSve4d+d/0TXwSiSQRqOsXPawHUOk6aAPAJsaBibttNAiNLap/fTQT4kSs4yTIkeWPAYGWWXRohkYAsalzSTjVJnDU07k1ZA4hGaVQmKQJiPaAUi5OtlaCad2BF15GHoGoWcReg4r1cfhsRsZm7yT9UsuZ6jrLA47HkVRxaaGHcSwSCRudRJ7bjeu5qFME13PIWUNlcnhubPIucO4BzeT2/RGNKHjqRpS1fDsCf9KSxsjNYhSHkIK3MMP407vwug5DtHle3eFnkME1dZ1vQV71y30Ztaycflrg/ECjlQ8sO3juHjYqgyuzYkb/g9KSfbu+gLoaXKrLqMoR3FkEfDwvApKuRhGntXG+cypGSiNM3HoeirVUYb6X8SS/BLy6RQ9+UE04Xsdw7goS5e0WC45w/NlkU6Jj/zw73j28a9FZp7FPjGGgcWk2kuHWMIgPVhCRDVUXBQ1XDQl0BFYQierCVoMSS6QdaV0PybKC+PZgnu5xXJoTbnsPXInjx68n4+94I2RoR0PxtcC74khpO890WRAUOpFD30PS/3J3Fgctx6PMp+oLEQsFs6AtVAGxDgWKqS4UGX4OMLFFj+zo8dLr/4X/vbClzPcsZR/u/vHvPLUl+Hik7tcjKSEv/W8Kt9+6Gds6F/G2cs2NCQB0IVfKPbg7CR37n2cl554QfRsjycA0IWM4j/DPpQIbNfhgUNPcNOOzWw5sp+3nH4hF6/eyIe33sLWrVtZtmwZ3/zmN9m0adOC55bgtx8RSbn+GJKUSxOS8vR7MsGvBaUUX/3qV3nve9/L5ZdfzvEtfdw+voVf/OIXZM00lxx3Fi/ZeBG5VDb6TSijcoLCcFF1+JjXQsUISligzwoM07jHJCrsJRSaVn/vKcGWgw9x35672DOxOzp2PpXnhSdcysbhUyIPTd0TE5KmhQlKuG8jWMEvOX78RcXVKdl+rEA1MLiLUmLbOktzNh6CslSU8GUbefKksKhhU3QtWkyYrvka7ZJtkDYkpZpvWNgSCo4RZAfz+yet+bEgJU8Q3vJ+7Ea9EKYfPyGourofYB2satpSiwoCysB7lDa8hnoZZceg6uq+NyQgKGH2rjDbT9nRKdomadOjYJvkTJeyo5NPuUHGsjBlrYYnFUYm9KoEMTtSjyRlYVxJVPE88Mq40idUJdePwah6Gkr5ErSSR1SIzg68GuWqhq1casKlRAkDkwxpCqIYFZgzsKgG34WpYSUSDQ0DEykUM1TQ7CyDaT9maNYVlJVLStMpSoWtPKzA8KsoF1d4GEonJXRcJdGEhtQMegYu4cCRHzNXPshEcYiqU8RzC5Rq45yz9vUs6zk5Iihh7ICGx1TxECNTW5kujVK2Z7hv51W0Zm/ieRvfjS1NsqYX1dKJxxD56ZL915YmG+pmNNdh0YXCMLzI8AoL62kBgdE9f4wLFB26xohn4yhBRdRwZAmJR0r4sq0Z4eDiMEMRVAsWaaaZRCJJkcOhShGPNDkQ4ElFRhh0CItJ5afg7RXLaCVNOkive1BNM61GkHiI4DMDE91IUzOy5LJLSQUE0UXhKI+qUHQMXEzbwPNpFWkkCkNoaIF5pqHh4acHFuk8qfQmpDeBJ8t40TNHovAQrb2Yx70AT5VQpJCy4hMSPYNyCyA9PG8OpA2ahTawFqNjCJHOo5wZvIk9aLkehJVF1Qo406Mop0LPwMm+ByXmyVy/6l2MTt5BSXNobz+VtGbhSJeKPUG+/zxqqoAu0uQM37s0JR9HKRfHnuGg80uqzjiplpV0r30zk9N3MTJ2O4fHbVx7lg3LXsFJSy7wvY5KoOMnwijZelSQNW3meMVpV/DTx67nuME50u0X4gbxMLOM4gqHftlHVtSnWU0JpFDUcEBZGNKIMr6FXum0LtHNYEEkSDSSMz1qTplHDm5muLUniCGRkXQp/FuvXzKflOhCUnZq7JmeZrpa4vTBQXJWkEoahSMlpm5QcyVXP/owM9UaOcvieavWMtTa1kBcEMx77c9RIpKaNaNRzuVv5b8K7sOYN6cZUa0q6gs5Zwyv5JcHn2Bp1ypOHDyOzYe2cOLQxlg6eBH0g79wZxlp3nD6Jdy++yGueuBGrjjpOaQMw3/CKT8mb7iti5Rh8pX7fsoL1pzGkvaeqM7M1iP7eN+Pvw7A+t4lHN8zxLKOXpa197CkvZdzl63n3GXreWhkF5++/b/JmSnetew0rp51uG/PLs4880w+9KEP8Vd/9VdYQb8nSJDg6EhIyv8CDh48yJvf/GYef/xxPve5z9Fz+0GmTh/khevOoq+1i5yVQ6JHJAQagyvDCS0kBWEsA9S9GqE3JSQzRpAdK0yFqgs/fiN8ABPsa64yy3fu/wYAGTPDc9ZdxJLO5Qy0LcHUzehYoVwsnsULYoHR1AMsJaCkiLwQBdtE1xQzVZNSEAyrCSh7/rYTlGmrZZDCYSogKP5KsT852dSY8dKkaiZS+atmhyomGc03vDV847vqQaFikNd993/V1SLioQtFJUhlXA4C/a0gG0zV0wPDH1zlr2bGiWDoEQJ/0pTKl06VXYOaJ+hM+zEgYVpl8ONBKo5JwfY9RpWKGclIFEaUltlVGq7n7y++wm/pMqqzoWLjoh5MH7RP+tc0ZXiU3HrQZk0KyhIK2EglyQR1LhzlMSomaBFt0bYuDhXApoqLg4GJho5NCUUaHQuJxKbqV8dGx1QaUmiMMEmvbGfMgTnKpDApeYICVSqiQoYMCCg5k5QnH2Ri9AaOX/k28q0bsZWHIySGMOjsPBNN6Kxa/lZsJD2GYOf4A9y1/avMlEY4Y/UL8TyPw9Pb2T12HwcmHsOVLv3ta5krjwLQkm5ndGY7Txz+GWsHL46yu8WhFKSEjBIPGHq9qnWIcHEgNCJTuhd5VcJ4mzCDkqFJHKkHkkOPmmejCQ2bGrrwkz84uJhYGJiRp6JGGg2dghpH4pEW+ageiMTDpkZRzGKRZqXoIKvyFPFoIU2HrtGbqZE1PXoreUarG4LfwQR+UHsquN46AldJrKCauSFEtMJvKJ0yEulqWAj04OrK4F9YZNH3A2gIYaKLFK4sIoSGFCYoCbqG9CooUUMpF9AQwgIjj1LS3ybqfweRshBIlFNDTR/GK0yDWwUrS0vnKaztezl9qZZ6at8wEN3MM9h/sT9mlaSCy2z5CRx3DqejF1SJlNZOhlbSZJjTD+KJMvaBu5gq3Aiajp3qwBx6EUbHctJt3X6jRn7J6OwTyCUXQFgwVoAn/bu/4oaFDgUnLTkNpTxu2vZzes0TSef66dZWYVNF4o/nelV6iRQKBxebGggwfMoT9UcY/5LW/SB3KWvsHn+CJ6YP8ovd97OsvY9XbnpW5C0xNYkhvKAeixcj0zIg2SGB9t9ffvVVVF2PfCrFZLnM81at4oVrVvH/HnyIzaOjrO/poeZ6SODEvgG2jB3hX+65k/96+atZ0+X3jwyDxZWICgJHXhDR6H05GuqkJfR2iOh9YxzLwp6Zc5eu4usP3cVLNl3CpqENfP2+73Hy0Hp0re4BC1POqyBMXxeCC1efzJ7JEf7Pzd8ia1mcvex4Th5cRVs6h1Jw6fqzKdlVbnjiAX607R4uWrWJDX1DLGvv5Pzlx/OLvVt5fOwAj48dACBvpSnaVfpa2lne0YMjJSW7Slc2z1Wb7+CJiVG6c61MjB/ik5/8JP/93//NN77xjSRW5XcUQirEYgV2fsX9JEjkXv/juPrqq/nTP/1TLr/8cl5QGyBjpSMDMwzYUzSSEgjJhohiHkKJF9RJQyjjqgXZpQwNMoZH1dNIBZIbIzBqZYxIhGQiXDVW0mOqPE5XrjcqqBf31DQTFBnodeO1T8IV6zBexfF8gqAJRcE2cTyNOduIAplNAQXPl2kVpYuHoiB8A8siRZHZaAU/RA/9rLJ0yp7Ofq9MlQp5/IJalcBI0NBJYbHGMhm1NYbTHnOOQVqXVD2NjpQTGf4ZQ0ayiZzpUvOCLGpePd1zWLvF0iRmQEDCGiRKCRwl6E7bGJqiLeWQMTwKtsF4OYUXkJkWy2W6ZtKdtsmZLtWATITyPVdqQX0WwUCuSli4MszSE35vCEXecjF0RSkgP2EchaVJJqpWcM2hKmFWOtSEgxtI5ipUguBsizbVyrSYxsaX1nlBX/sxD46/So7fzjbRH10L35NikSMHwCzTdKluSqKChsagaGFOupSFjY0ffG2RojBxHwf3XQXAkq5TkRhYVh/DPeeB2RNp+KuyxMzoz9C8Keaqk8yV9rJp2SWct+YifrT5a+wae4hNS5/Fyt5TsKy12MqiVJtmZu5RUoaGp1Is7VqGaXRGHsRm/b8ReBpDMmIF34dxQeFYlkqQMf0MSLbnXws/k5oWxc2AHztz387vcsrKV7K95Mt6JihQZAabEjoWeTrJkKFEiTQZUsrkiDiMwsOhilKSlMiTJR/JuXzDVzLMADXlcUQcJk2OYbpYma+RM/1K5FJBzdOxPY39xRSTypdq5UlFRDCDEcntbOXhoejRTYrS94j1iiyjqhiRKCe4nxQennJwlR+jlNLaqHpT5PVBZtydeF5l3jNPKRulHHS91feiKIkQpk96pBs9Xbyx3cjCBDgVcu0nQvdyLui4DF3zn2lxkiJRuEoyV9pDzZ3Gw8ORFYrFJyiO34u1/HzM9pXRmLW0NqqenzJdTe6leuRBevsvoUO5PDHyE8yWJei9a1HpPM72n7Bh6RWcPHxS4EH1oQexa6YmyZgeLaZH1vAzfv3ksZ9wx6676Os4nVVDf0jVaMPD93xpPgXDVh5lYePi+kkHgAwZBrQ0nSmXtpRNW8qlxfLYO7aFX+y8lT0T++nJ5VnXu4wTB1Zx8er1UR0OQ0gszY15U2QkQfIlih6akGjUn2sv/MZ3sHSTFR3dlGybqUqRw4U5Thsc4q2nnc1jY+NMVaq8ZP3JpA0dV+lc+eCdXLn5Lp6/ai2v3XQyx/d0x65t3HMuAhlxKDlsDJh/qljodwvFxhRrFS656l/4zqs+iNTauGPvFnJWhnV9a/EUtBgelpBUpRYlRjGEH1P2qVuv5omJg5zYv5z9M2PsmR5jTdcAV5z0HE4dXhPVcrFdh5/t2EzVrXLFiefg4c8FI7Pj3LlvKz/edj8rOnp46+kXUKxV2TM9gVSKs5euoTeX58Xf+CzvOfdFPGvliZTsKnfv38HOqVFu2L2Zj3zkI7zvfe9LMoD9jiCUe01ee84xk3t1XX7XU5Z7ffGLX+SLX/wie/fuBWDDhg383d/9HS984QsBX73z0Y9+lC9/+ctMT09z5pln8m//9m9s2LAh2ketVuP9738/V199NZVKhYsuuogvfOELDA8PP+3z+XWRkJT/IUxNTfGnf/qn/PznP+crX/kK+rWPRIavF5EUDTcW6BwSlbicKvKiNMWdlF0tiD/wjS43qBES7h/81Sg3rHIdsI6o5kRsDonHpcTJSVzaFCcotvTjXWZrJp4UpHQvipuoefUCgmnDY/9clq6MzXjZIm/6E/WMbVBwfWO6qCRSSWrCxcGlyGy0mhtWodYCw8PDxgp0+xkyZLCi33pITIxIXpHHoi/lMWnrFKVLt+E/REzRuCKeMz3aUjau8qus20GNE1NT5EzfGxPGt4REJ+x/P95C0m9BT6YWFFH05VlK+f1SCQhJX67KeDlN3nIiD47taUxWLEZsQaum0RNk4DJ1GSUmyBgetqcxWzOpSEGb6dGVsTlcTFMJCIkuFClNctAWUVa0CpWo7zQ0qpT9jFCYGFiUmGkYrxIPV1XxVBUVjIIubSVpspgYTDJGljz9dGAIGFFzFJmJjGqbKsP0cpCxYEz5x826Ou7Mg4xM3Ixl9XHK8BpGZvaStrrYO76ZjNXKcUtei2b2A7B95AaOTNzOcYOn0JrOcdzACeRTrWhCMVUc5fsPXYVltPDcje/GU3pEBPOWS4tZY/PhaZR7kJU9G0ibKSR1j0dYCT5vuVHQ7kQ5RVtAMuNPRqkEVU8nrftj1gkkdVHmr4iw+vV27t5xDSeteCXjNZ1pqnSJNJaAI9KmQAE3iPGwSJMnT4ECFeYQ6GTJU6aAh0MvQ2holCgFHpcy/Sxhr3qUrOhkSC3h5HaHtOExVUlhaJKya7Ct6o+dDBZzlKlSpo12TKVFsRDjQVvSZNADU7xLpMlocNCr4uD6cSg4kWfAw8FVwevY2PD7qF4hXkXeEg8pfZIiZcWXeSkJQkPoeQwjj+dV8Lwi7vZbaW3dQFUVsIsH0ISJpefo6zqX/s4zsFL9EUGpKQ9bVdiy+c8xUp0IzUAJDc3IIt0yev9xkGkJnm0mQhh47qzfNs+hxW6nMHIrptLp7ziBqj3DVGE3nqzRmh3iZWe8D4nv1VT4qdHDZApa4O1osVxaTZe04ROXufIkX733FkamH6bruDfgpTMsFcfRo1nYEqr4MV8VqtFigIFJN230mtCdsenO+ETlMz/7Pzx7xXG8aO1GlrR1RJ4ACGqa6C6G8IJYijpJ8ZQWk3gFnq+YV3D39AwPHZ7gr35+U/TZ9a9+G30trXhKo+oZEckwNQ9D+M/xvTNT/NeW+/npjkf42IXP5UVr1zQUZ4zLvTylNUrDmvBUvCzNv1ssbuWPrv4CH7rgUpZ3r2Palnz7oRt41amXkQqksyExqcm6x94Skv/85Q85PDfJhy/6I3KmzmS5yI07H+XL99/Cx57/Gk4eXBWRLoDvP3Ynw21dnDm8BhcdS/M9r9O1Gl+/78fcd3AH7z/vYp69Yh1/fN1/Mlqc5YLl67hz3w7GywVOGljB6095Dut6l6AUbBs7yBefuI2BgQGuvPJKVqxY8aR9kuCZjf9tknL99dej6zqrV68G4Morr+TTn/40Dz30EBs2bOCTn/wkH//4x/n617/O2rVr+djHPsbtt9/O9u3byef9xd0/+ZM/4frrr+frX/86XV1dvO9972NqaooHHnjgf41MJyTlfwA33HADb3rTmzj11FN5aeY42jItwYpTnZzEpV3xv75XpdHzEWaN8pSg4mlBzIFPTtJBOtXwYR4GChPsx63bFI1Vu4PX+pOQk7BNXpButxxkpZLKDwg3NL8GgBmk1qy5GoauSOsejtQYLaUwhJ9FaTIWqG0qjXSQwatAjRo2ZQo4wWQeGtQ6VhTE62FjkiZDKy42/fRhoTHli1YwMfCQ0crlGr2DcTdIOxsYamYQ09BquWQMj9maiS4ULZbLRFCTIDy/sG6CLTVs6Xt9wlgTiU9QargMGyZL8xVKjsFMzcCRvtfDr4vie1icIMDakVpkEHtK+PVFXC26JmFbds6lsZFYaLgoWnWBKRQlT5DSoCdjc7BkUVV+YctKkAlrTrrMiXK0cluljEU6ii9poY0ZJqIVfg0Nh6of78AQkwHJCD0rGfKkydJLCwXlMCkmcKgi0GnFz+TUSwujzDEoWmk1JDVnjp8+8F5/fGkWHbk+zln9PE4Y3IiuhTEyirHCCD959AfsndzJ8t6zGOo8kcf2/4D1QxdwxspzomshIIr3UbLKF2/9FBW7Qld+GbanqDpzdOUGGJ3dTi2oBP/G895Nb+tKKkHAe2hshiQj9FKldNlQdd6/Do2PyNBjqCDISqdHnhSlfFnQ/buuYdXQaxh3FWmh8aB3H0LoOLJAu76SQTVIWdiMsQ8di4J3AIFOWuukKqfI6N2RF6ADn7CNqV14qoYuUrSKfmqUydGORYp+0YIliGJ/WjSDVkMy4fhZxUaZDgiHjYaORb2qtouDxGMpvZSViyE0XCWZEYUo7si/B2Ugu/SllxU1g6NKEVEJC0PqwpeuWSJLhlbGvG1IHEwtT9UZRSkHpSRCaJEczJvYhTexC6N3A5QmEMPHoaREzR1GFWdQhSOkUj0MDb2UdPtxSCTF0m4ObPssxsCJYJggXYTScUYe8K9f3zq0tn7M9ADD5hkM0sFD8h4q1V0gbZSSdLhLKU89Snl2K33tG1nRcxp9bctpy3aTMVxUIJ+1g4WGUB4bjr8Wy408KqamMIXi+4/cwC/2bKHjuDfiGpIWuuilGwsNG8kE07ixBRcDkw7VwbBp0J+r0p+r8dXb/g/PXXU8rzv5/MhbYmpeQ5xJvaBi/TP/GV4nJ/G06RDWg1K86JvXsHNqGoDVnT2cu2w1f3z6+ZRcK9pXGNMRPvsOzk7ytmuv5CuXXc4pA53RfqMaU0ogqRMUT2oR4YH55OTJvCtHi00Jv3vvT/6LM4dXcclxZ1GRBj994iH2To/xko0XouktdFp2w3ULi7ROlWb59O3XUKiV+MwlV9Cba+XmXY/z1Qdu46sveSuGniIsmCwReFJxy67NbB07wEmDqzh76fFYugjk1Rr37n+Ef7vrh5w2tIJb9myN2tudzTNRLgBwfM8Qn/2DN0VtLzsOX3vw59x2YCuf/exneeMb35hUq/8tRkRS/vsYkpQ/fOokZSF0dnby6U9/mje96U0MDg7ynve8h7/4i78AfK9JX18fn/zkJ3n729/O7OwsPT09XHXVVbziFa8AYGRkhCVLlvDjH/+YF7zgBU/7nH4dJCTlN4hqtcoHP/hBvv71r/PP//zPvPnNb+a6N3zMN/ZjK0Ouqsc/QCw7V0zWFa/iq6FwlKBg60GtDz8dbXPWrjD1bhiHEqK5mm+Y1Ssu/4rXT5Gx9kjlp7ydKKfQhG9cV1wdhaDo+OlbWyw3quTdlnIYL6fImS4jxQytlsucbVCRgqKUZIVGSoNKrEJzCQcHl3Kgp4/LXRyqKDzMmJEVGmo2NfLKXz2VwaTs4JJVFquzUHJ0jriKYUtRdHVSmorkcE6QDUsTipzhB88bmh+3UvAErUbgGQpkJwT9VVUu7br/QJqTvheoRTMiyZqOIC0MOk1J3vTYVzbJar4UoSb9lL9S+elw06YXVXEmuBZ+UUSdlO4xXTM56Dr0aRZTnk+21uT8zFPbigbL05LdFXCEjOpppJQZBOr6RlEo06pRoqJmMEQaR5UxRRalfCPUEjl0TByqmKQ5UV/KhOsbrxYa/WmXtCGZrpqMu/6qtil0skKLpGVZDdotN/DewT3bP8uBycd4ywV/QV/rgJ8pLSAn8axyuoDZ8jQ/fPQHTJam6Gsd5PnHPxtTEzge9OR7Im+jf738Qo6HZw9zYHo/pm6RNrPsmdzDiq4V7Bjbyp277uZvL/0MtcDrpQdGVdXTomxuWnDfhZXlwSdCRmCQxk2HkKS7SlALPGuzNZNJW6eqJEI67Bm5juOWvJyDappu2tiutuCpKjmth6I8givLaMLPjubHd+i4sgDoSFlB0yzAr9Lepi+jlc6ItLs4SOWQEnkqagZdmKxkHQAV7IhUTDJOljzd5GnRBEekn7rYCMhoOB5CD4mGxjKW0aJp7JRjZGmhSoWloitKRa0BYxSpUg6yfvnjSceMvCyaMEmRo4seuoTFuKoyzSTVwFPkqBKOLOJM78AeeRDl1QBBfu0f0W93sXPPlzGPez4ICcLEG9mCLB1BZNqRhSNYRjt93efR3nsR07MPMjl+O65XQuqCbnMYXbjkM4McnNtBqbgTLdeL3rEMs3Mtrjvl37v2DLI4jsi2oxlppFNFjR/EcjWef8Kf05Ju8ZNexGSBoYHsjwtJ2pBkTT+NeUr3nyVmkMThi3d+g71Tk/SvfCtOJoNFmkE6AJimSoE57OBZ5uKQIU+X6maJpbOqvURa7uQTP/s833nle+nOpjC1UNpVjzVpfp7rgedcCyRfcZlXM0IiMlYq88c/vIFHjozzhpPPZCDfzmC+nf6WdrpybTjK5O4DB/nhtrt5+PAuLl27gU8896wo612cCMW9J57yCXaYlEQFxr5qIiaLeVUa6tY0bVNPqa548be+wnvPfQGnDK2j4pk8fHgv1z1+FxsH1nLR2rPI6V7M1+fPpWFq5qpj88pvfYIvX/5WVnd18jc/+y/WdPXxmpOf1VArJTymh4bjCR4e3cXNOx/hj8/6A1JGKopfmy7PcN3jd7Ft7CCPjx+KfnvVS9/GWLnGqs5+WqzGNOie0pAvO4s3velNnHXWWXzlK1+hu7sup0vw24PfFEk5cOBAA0lJpVKkUqmj/tbzPK655hpe//rX89BDD5FOp1m1ahUPPvggJ598crTdi1/8Ytrb27nyyiu5+eabueiii5iamqKjoyPaZtOmTVx++eV89KMffdrn9OsgCZz/DWHLli1cccUV5HI5HnroIVatWsU1r/sYQc6g4EFejzsJH8ShgRQnJ3F4yq8q7ilBi1mfhPwVfRFVIgffoAhlQs3Gb2gYhr91pU9MQpd4FPQeBupLn4RMVfybo+xqlD3fHHJV3augCZ8MpHRFZ9oNjieYqqboythR+l3XE3ToGu1BTEipptOiAwgqrqBdZKgGxe604J9F2pch4WCRphhIlAxMpjmCSZpJUaWDLkyl4QiJjoYhNKZqWlRzxdAELUHNEj9wP5TD+X1pB1KeFsvFU4JW4WfX8euK6EhBlNLXReOIrNIj0sggQ9WYKiMjQ0GjjM2UA67j0o5OhyaoSX/yrnlBDA8E0hI/y4ylS8YrKWqe74XJGi573ApZZbFXzrFcb6U/a0ftPrm9yv5ClhUZj4erVaSw0NHQEdRwqAZ1TjR0ZtUomjBZIo5nRO0iLdpJkQXhr6orPCzStNDONKNs8Q6RFXk6aWEo6+BJwZztPzp6DIGla+RMl7ThRWMF/ADzOdskbSjOXvNKDk19mL58l1+XJkZOzFhaak0oelvaeOs5r/FTgk6P8IkbPhWNfz+JwyCXbHgRKTPty7SEznDHMC2pFg7PHaY13coTR2p8f/P3sF2bFd0r8SQNMVO68LMohbdXuFpuaCqS34X3Yyjpc6WgaJtoQkXZ31K6R9rwSOkSSzf9OKtaDVNPM61sCkwhkSzneA5oOzFJk9LaaNOWYJFmUu3F9mbRSZHW+3BkAUkFqVyUrOABU7JM2eilRfRiqzJtop8xuY2TzQ08LqEoR9kltiLx6BJLMDAZV/uwRJYyBSDPfllkmiMRgbFIR0ZySPIBDnKYqpxDKelnp1J9TAeRKeAH4LeoNClhMc0kSxnGQGMvh1jNUqpCMsYENlUKFKipVJS+OvTUKZFGU1Dc9wuWLHs9Qy1rMc120LP8Ytsb/Xtw208wBk/Cm9mP5kFH+xlMjd0KKGx7goOjP2J51xl0dl7Ass7zMRBMUMbEiOqQ9PbDbO0IY1N3MXrgB3iVCfTedYCLoXVSPXyn/3xq6cPo3UDX6jdQ23sTP3rk45y5/uMsb9HQPD9JRhiPEkdIVtPBc9iVAr88lc6fnPsarnv0Rm7Z/klOX3ERa4cupuK6jFQNMlhUMKlRiu63CgUmBaScPnKlNMMtw1i6we7ZIh2ZDJpS2NLAEB6m5jXkSI8WvKT/nEerE5XQi9DQblWvHdWby/LRZ5/HbfsOcLgwy217DnJgdo6Rgr9AlLVSGELwqhOP518vfiV9LRm0WJpyAATIYFyFub1C74qGRAqtHqsiiAhL1IkLIB4ov1D8sEBxw86tFGpVzhpegodPPNZ29dKRaeGSdacjhMRWGinNwwxSB4fnD/DAoSfozrWyvKMLgWS0OMvFa04IFkCCPqU+l/o1r+DkwVUM5jv44j0/4Oyl6zl1aA2mYdKda+XtZzzfP3dps+XIIa7f9iCmbnLKQHdDjGnQbT7pvOZutmzZwlve8hY2bdrEVVddxYUXXrhwxyR45sMPYDw2+wGWLFnS8PGHP/xhPvKRjyz4k0cffZSzzz6barVKS0sL3//+91m/fj133XUXAH19fQ3b9/X1sW/fPgBGR0exLKuBoITbjI6OPv3z+TWRkJRjDKUUX/ziF/nABz7Ae9/7Xj784Q/zgzd/kgeD7xcKjI/LqKBOUEKEVcUlfpC2GZsww0korHIeelLinhMIJrLgAGHVblc1SsrC44f3mCvrdTiqrk7Z8WM0wqJ1Gv5kktN8zw7BamNHyiFvudhSY6qik7NcqhUrSM+rKDg6Gc0PlJ8u++lQQ8JU9vwMRLby/JS0hLnoZRDXoGMFnpUwaHgEX7ZQCwzxCjlMsiw1/KKNplZFIdhfyGBLjbRh40iB8DQMpSKvU3013++fgm0ybet0WD5BKTg6kjohAwKzK0VRSTp1gyPSjnT84BOojEqREjo15YGAihS0Gh7FID7F9wYIXDQMTZIKvDYAhlCMu4pWqXF8ymDW0dFkC3NSUiz6q3KWEOR0xT6vjO5pGBgUmMPApCLqWbo0dNKYCKHRQT9dIk2NJZyezTBZM2k1Xd8Qd0GiY0tYqrXSn/n/7L13mB3Flff/qerumyZHSaOcswRICJEzJkeDAWdsr3NOu/bar9frbO86ru11xGAbFttgTA4CRBRREgjlnMPkcFOH+v1RXd19r2YA77Lv/l6vzvPMMzP39u3bobrqfM/5nu8phz1cShUKWV4gKwCwhlhghxFoL5DUOh5CQF2qkebaMTy66WHOnn02jtQNNwHSMoicGkuoCr9ldF095846mYJbYvmWZ9jVvZ1d3du5fP4Z1NhO9Gzs7T/A9x/6IfWZenryPYxvmsgVx7yJgAwNNdMY8jRNzHSXB03VyntxfxQ77J1inp3+sq6xqku5Wj4bQY3jheIPNmlLkXdt0krXGiklqHN8iqUSzekUWWzaGcsQQ7rfjHLpCjZrRSxRxBYZMqIRJX3dbBCfZmsKh9Q6ctYoBr2dBH6BIICS30MgdQalW5bJWM2s9F/GFhnSspEmRtPNHg4Gm/BVCT/IU5Bp6qzxDFCii71MZhpb1DoK9JITLToro4q4QtP17DB75qo8Zb+Pshygj12kRQMpapBY5JHYIkU7TUjVytiM4qVSPwDb2UctDTSpJoZEgQG6KIY1Nr3sxwo1w9oGHbYcvAOApvQYmms6ojnxxIXfp6QUXX2r2L7zt4xuP4uxoy9g/4F78Gpn4PoFmhoWMLn9DGozTWFQRVAMYJTK4MhKoY9cdhRtHZeRFmn2HnwAr/8xRF0rQW0rmdkXU9yyjGDwAOXBA+wTy7Eax+OXe3DcraStKZFohgplpQ0FE7STacaSeY6NAIojLC5feC7HjJvNTS/cwct7VrB4yuU01pxAPpCgGrBxooyUCQxkhEQoj9tX3URHYwctdePwlItUCoGPj4RAO7eHgSYlQAQEgYUlBJbQa4NUh2dUjDKXQDF/VBsLRuvovdnO9RX7BvJ05gvMbW8mG3kKw2dnpNJgJP6CcJ0RAqF05kMIpTMrgEVIK65KpET0NGKFr+R56my+zw9XPM5t61/kH087H1flKAV6Ls2lsywaN5M/rnmcs2edTk04l1oi0dtEKBSK3698hKsXHB8FSaa3jOKJnZs5YeLsCECgJAFxnagjfCwE4+ob+eRJl/LSge38duWDBCrg7GkLmNk6RoMzmWLBmMkc3TEJN6QHJ6WZk2PIkQErP/M93tc4j3O/eC4XX3wxH/rQh/jyl798RKr4/1V7HflJw2VSRrKZM2eyatUqent7+dOf/sTb3/52li9fHr1fTSdUSr0qxfC1bPPfaUdAyutonZ2dXHfddaxcuZK7776brl89yl/e9U38RAFhdfYkSAAFA1aMVRTuEnc/D0JaSvSZIAYnyd4lEE/wAp0ZMfUPye3M1xgpYRVG+AfKDqWQc28yNH6YaZFC9ywIFFgW0THVOV5UUJy2fDKWpp6Z7yt6ugN5SmpKkKckZaU7Mvf6upu2KzyyKk2KNEUKEVDxQkqKKZwH2Bty7S1SeAzhhNkWICqI7y5msIQiZ/mkpIhUsEqeBoBCKFBamUsoEUUh09InFcpZGjlfU8MCISUhABsNEMtK90GoJYMrUtFxG2uSTtSFetCzKAb6Ona7Ph1CojD1LroRYo3jU/IktdLCli5DJYcGx8fxtDx1AOQDRVkp8AU5lSIvyhQpRDUHEkmdqmVIFCgyRCsNjBNNtKR8fBVQLNeSc0p0FS2e2fxb9nY9S8krcOmiDzO9aaYWYAgLhh2pIkpUORBAgAjVzozjkpYBkiLbD21ky8EX2XJoLZawaK4dhR+UydrQnnE1KBBBpLqTtOQzkM1meMsiLTP79mPPZ29/D6Pr28P6Du1svLh3Azc8/R+cOv1kzpp9LmU/CJueyrAzfEDJl2HPmvjeOVZALny2bKH0PQwE6VD0IWP5pFIBNWF/lXLosJZ8SUu2jBcIalJlBKZGSz8nWnY4zfiMYlcxRVrZdIpuLOGQkg3hORYpKzeSJQ5UCEDYSsZqpRT06vtnZcnY7SjlU3T3I4RFgIuQFpZwKKshPJVnrzqk31MuUjg4djslvweHDLvUOhRaUOKM7Cx2FAUlPAYYoCiGaGM0s7O6JmdP3mGT2IYvdC1YStQhsBhShwiUiy1yZEQd3TjYwubZUh8l8qTJ4VKkSIp2mSOtLAbpxaVIGUdnZihSKO1j35abaW1aQuuUMxhVNyWanywBtal6ckBT+6lMbDkex0rRX9jP7v13Y+dG4RUOMLHjEnLpJg71rWPHgfuZMOpsSm4f67bfiJAO9bmJNNSMI+W00ju0Dc8bZELbiUya/006+15mb++z9O5ZiafWYtW1Y9VlKHetA+UT9O6mtW4GWduO6x+UgMQYNZloS6poDrbR87ItKum0U1sn8I/nvJ/Htq7kttW30Fz7KMdMey/tTgN95VoKQS2Dgceg0HLenoLeks+Ozk0snbQQISx85eEGEiFVOFqldniVSszv5jtlRE0CsMJMxnBAxQ9kJE1cbY4lmNBYw6TGbMXrI9HHDBgCCISMaWBVYEUfa3hdhZ5vk40kk8X4w/VNkULx8LbN3Ld5Pb+45O201o1iwEtRCKyoce28jrl4bOYPK+/g6qPPxXIE5UDiiBggKBWQd8uUfTfqiXTdMSfyjlt/jRf8hfccezb1mdr4WkXX08z/ipQlWdwxiSVjJ1L2A/5txX2Mrm2gIZOLqYFCRQ01y4Gl6V0hVc30cIlphDD56T386zlv49/uuYdly5bx+9//nunTpw97zY/Y/w6rr69/zTUpqVQqKpxfvHgxzz77LN///vejOpT9+/czZsyYaPuDBw9G2ZXRo0dTLpfp6empyKYcPHiQE0444fU6nb/a5KtvcsReiy1fvpwFCxbgOA5fP+nNdP3q0YraE72YDQ9Qkj9QWaxu+p4YPr0xL6R2lcP3Sn4oX5vcD3HRN+ilLQgqv9N0ijeF8EOuRcGTEUAxcrdGvjgttbytcfbscP3I2QE52ydra/qL6eJuaDQ5x6cupbMLaaklfA3Y0ZSxgJLycUMqgSd8LCQp0mGfDhn16zBARSaGr3kfdPbCFQGdZcmefJrOss6CABVdxq3w41Lo11My0BLNEYiR1Dte1BzMCs/V1KYYwBYAOUufR1pY5IRNAynqSFNDiqywsdEymEYBDCAjocYKG+eFtRB5T/dlsYWiv2yTtQMcob9z0DcSyLGjkAojHMWQapZW+lqZAufRopYJKcm4ANqH+lH9DzHYczvtuQIt2TJNlmRnv2Dt9n+ns28NtuUwtW0OU1snU5vyqEt7IZVJiyGkLQ29RPhjSYUtfXoGNrF214Pct/pn/OjBz7N8w600ZVO8a+m1XHf81Rw3YS6nTzuOK+adSFPKpc52qbF8cpZHWvrRT0oEITjU98IWKhonGdthUlM7aUs7MI5UbDiwkV8+eSOXLryQN8zRYCZlSRyp71fKUmTtgFrHJ2PFtDKFoULq/5P1KmkroN7xaMuWqQ1pfoOuFYEUPxA0pF1qHF17VfAsCp5uSJr3LAbcEj4ZAgU5IckJmzrqdQ5QOKREDSlZR1o2UifaSMk6fFUkUEW8YBBfFfFViYzdjiWzeEGeQLlYVi22VY8lMpSDPpQKaBHjychmpHAQSCyRxhY5HFGDJdIMqP2U/E78oEgXh9hTlEzN+SyshSXZBo5Pj2VyymYoPL8iATPFZGyZIy0b9DhSukFhoFzcYIC86uag2sIBtY1ufyuFoIsh1Y1LkSF62a8G6aeIja5NsUkhhUOAT37nA9Q0zmXW+LcytmUxthVz9AmfMTv8ydkprVZn1VLfsACbFNOnfpDxzccAsKfzMQ71rmL1zt/ge/04do6ayedRbhjDfnc/W3sfo4duhnIZVu/8LY+v+XuKbg/HTn4nxy/4EafM+TBjswuo83Nk0qPCuddjdPu5tNVP1GMsHPcmg2gEEqICeqEOA9nm/WhuEpLTph7D1y/6JG01NTz84ldR3nb6fEWjEzDKsRgna2klh0fAYJDlrAWfYeXutdz60kPheDXy9GbultFPpKhFQv43yqqbHk/ysHoQiJsvJutKXquZmpTq/yWx7HH0Exb8V7xOqEpmGqgSa5gl9x0eYQRavCDAlpKUk8VVVpS98pSkFFh4SjJ79EzOmr6IXz3zZ3rz/ToYFhbyBwikEHzhjMv59fPLWXNA14+MqWvgd2+8jqJX5rpbf8LDW1ZXADhJLEgTqLjjvM7QSo4dO5k9fYcADWr8EDCa+2OLIOrbYiw5cgQaAE1sbOMrCy9kfNFh0aJF/O53v3vN9+SI/f/Agtfx579oSilKpRKTJ09m9OjRPPDAA9F75XKZ5cuXRwBk0aJFOI5Tsc2+fftYs2bN/yhIOZJJ+S+a7/t8/etf5+tf/zrf+c53GLPiIBBSBBIZlKAKoBhZ4WTPkmorBaaQPsxwEO/LKHVVZ0OqLbnkGOlgiDMpZT8uGC96kv6yo+UV0bKbxmwRd6SX4THbAtKhmpeRdTV0Ghluq9A9UkA7gBk7oOQnomcqfhYtBE44JA0ASZMKgYsdbiNJlkKaAmDdD6WGAD/axwBlir5WDTOFv1HmKUy9G+BhnFc/0E5ISgb0eza1KZeCZ5G1/KiOJLoeQEYGDHqSlAxIScCLu5dLpV15OwJiUAzRp8lENdo+bmDjBzqSXwr0ObVky3QXdWf6BqUVZHIy5HMrEYoM6Otn+lxE9yoEa/WBQ2fXn3lq3zKK7iC1mSZaalrZ0bWJpZOXMFQS7N6/nPV7H6U+00hTrhEv8Ljo6LcjpYUKo6C2laAmWIqCJ6J+ETs61/LM1nvpGjzI1LapTGsdyzVHn8nExjYsqSObApDjxmGLAEv4Ea2u2kzEWivqhDLc5j0MDUQTL5AQKMXtL97LvI5ZHDfxGLywoseMeWnFToQnQ0ASmGdHj30vEFghIE3Wo+TL/Tyz7QmOmnAitt2sgauVHKmQtnRmSde56GslhYKgjGWl6SpblJWiPaUYKFlIoTu3Wzg4ZLBxSJFhSHWTs0bhqSLloA9flQCfOjGaHvL4QR5L5kLlrMpUv6klEcLCD7QksBBWNN4FUssBC0LwqmhMa9nrvGsxUHYYKlvs8YvgacnijAQRWOg+60UNSoWFRRohLCQObjBAmT4EFm4wiC9K1FvjKKs8h9iBFA42DiKUowbIFSXdg3tZNOXTWDJ+/k0QIGnGYfOVIOvUsmj6x8lIk3XTr88YeymuN0Ap18rUUWew6+ByvMIhVMtYAr8GocYBAb5ysRqXwlAfOw7dx56Dy5g/4UosJ8v8jsU015yPLRVCFdnbf4h+NS6kHQpS0o+PSZhjU/G4FiEoIZ5DlNInUE3Hqk2l+dCJV3LrSw9x23P/wqxx5zOu4zQasyntyAaCrpLDoA9OaixLZ1zLk5t+z/sXn0AgTLZdhopbCinCBqMYhS39ndE6gdBdKKnMqIxkw9WvjGTV4KR6HypRjxK/qYv7TUZFP9+yItsSKIFh0FVnVsy1P33yNB7dvpUP/eU3fPnsa2it6wjvh4rU/wSKiU3tvOnoc7l3w+OU/YBL559CazaNF0iUgDnt43jXotP4xwdv4/Onnsdx4ybRXlvHN8+5lMe2b+KfH7mbgVKeS+cujU5hJEUynRHR9Y4yFE8w56iAcmBFAMUROnSpMHOH6dMU7ztl27z32LNZMHoSH/nIR3jkkUf4wQ9+QDabPey7j9j/z+x1Ahh/7T4+97nPcd555zF+/HgGBga4+eabeeSRR7j33nsRQvCxj32Mr33ta0yfPp3p06fzta99jVwux7XXXgtAQ0MD73rXu/jkJz9JS0sLzc3NfOpTn2L+/PmcddZZr8MJ/efsCEj5L9iBAwd4y1vewo4dO3jiiSfY+t07YlWTcBvDtTYOe3XPk+qO8ULEYKIQFqbLcEFMfs4LYpADcaF78m+z0AMRXStJEXNDmphuSmfhBrrBoiO1wlWvqx3uTLjO5H1NRzDLTo2lQUeN46GU5vubho1mscjYPv0lR38/dii7a5P3RRQ19RTkhI2HikJLdri4eSpAUhltlUJGPRwCgrDXR7xNWtnR520hSYWReK3WJfGFdioVQnd1xjj/YEmhM0VSR04NhUBIrTwWKB3dN/cpYwWRxLDhpxd9TWEz9A+TbQpUSA2DyInU3aX1PhTxtgDNYZ+UpkyZgbJNS8ZFAv1lGyU1UBkMnY60sLBDJzSLTXFgDWt3/pa0k+Lio97OxJYJ1KUdAuXzpb98mvteuonNB9cxumEsHQ2jOThwgLRt8+bj3kMm5RCouKjckYr+fDc1mQbSlsASLhv3vcAz2x5iqNTP2TNP4Q0z30ltykEKTZOT+AnZz1i0IUmFSfLOwxcA0zdIRH+rELTo5yl8PXRo3nXcxfzjPT/h6mP6yKUbI4ltS8QAVAhFwZf4oVS3yR7q/SUlhTWKuW/NHTyzTUewbSvHCdNOw/e7eW7b4+zs3kZb/TiWTjmdumwjTnh/Sr7UxfSeRa1VwFMpBgOdFczaiqFyAYcMAosMNRG4KFPCFhkmMplO0UPRGmIg2IswmUPhIGQtUji4QdjnQwU4shYhJIfYTd4/QKCKBMojFCdHoKlf9WI8JdEDQIYaZtR6DLk2PUVJZ8lma9DFEL000EYP+zlazmCzr7cvBt3YIhfeNwcpMqRFHS2002UdZEgdit5zgwGtuCegqAbwlRbMTpp7aBUNzYsZm8sy6MVOfXVHcWNBOIdkrcMdZ0soGrJtnDj741GgZ8Hka3l6w4+pbbwGrNpQ6thDqRRCWNBQh2icir9vNWt2/oHAL1L2+jhx1geY3DYPS2QY0zCesSEQKnkSX4roudZgwMjuhs0dQ8BSDbQM4DZUIvMbIbhy4ZnMap/ALauW8Zc999Fc2xYOfsnoxgW0NJ9N3svSXDuL/uIAW3p7mNbUHNZG6CuuR6vJUMSCJ7rWVoausUSGvVNAA5XD0CAxyI7oVX8FWKk2A1AqgIopqhcqBiRhAMLCT4AqHWJIghUzDySPJ21ZfOXM8/jJs0/wibuv5x9Ov5qpbdMiJUtf6TncV5KGTC1vPuYsegoD/O75u/jg8RdiWylda6ICLp97LIqA//PQHUxpbuU9i07k6DETOGXSNH5wwVV85K5b6C0Oct6MBXTUt0XgwtTOxbWhPp35QSY1tmOLIOpRpvspaRZFIbB1oE56IaCSUeCyOhtnbMm4GXy7cRS/XPsMS5Ys4Q9/+AOzZs36T92bI/a3bQcOHOCtb30r+/bto6GhgQULFnDvvfdy9tlnA/CZz3yGQqHABz7wgaiZ4/333x/1SAH47ne/i23bXHXVVVEzx+uvv/5/tOHoEQni/6Q9/PDDXHvttZx22mlcxBQyic7xJoMS060qMx7JvidJM0XIg55Fb8mmxvEjepIilhfWGRBByor7a4TBu8jMpKeL6eP+El4IcEx/B6XAthQDJY1XhzyLUlgUnw8glXCyk9H7jITmtBfSuhQNGV1cbIeTt1EVK3mSkm/hyIBB10ai1bPiLFLYH8Q3C5X+vnygQoc+PA8UgQoqMgae8LFDUGghImCSEQbcxYAqZwc0pFzynh1dH1/pomgvIQRg7oMQKsoy1TpepPhl7nE5pPbYIpbhLAWChpRP3pMUfJGgsqFBCzqqvqVcpk1kmNU0RHchHV1DL5BRUfrefIrWtIcQiqZMOSrolkJxKJ+JjrOvrKWUaxxNsRsqdvH81lvY07OBk6ZfwJIpJ5C2RKSmZRHww4f/lcaaUfh+kW2dm5nUMoVTpp/GxNYZBEqx5dAGJjSNxfeHeH7nS6zevZqDA/uY0jqFk6edzJ9X/5mU5XDOrJM4fepR1KXssPt1UDH2ZIKiUR1VJhyvKvF7OAuUiLo8m2u/t7+HHzx+a7hfyfpDOzhrxnFcsfACEDZB4JO2regelwOtRDfoWgy5VvRMJPud+IFgdK7IsnV38NjmRwD45JkfpL1+EpYUPL/jae5++V6umH866w9s4pldG5nSOoW5HfMY3zyT/nLAYMmlqXYc2zvXs71rF+31UxjVOI8eL0teBQxSpJYMtSG9z/TaaXR8dpYUe8VeTs2N4f6hjTSI0QzQhaeKWEJnJEA3Shzy9hGoEjl7LG4woKlUYSNFW+ZCWtYgYPplONgihxAWY8RMiuTpVXuwSGGaMtbLsQypLupEG31qrx5fgZYTVgRkZDNpaqilgXGylkDBTtXDAN0slFNZE+wkr7poF1MphqpVAHnVRVY0UlQDDGy+nQkNJ7Bg3OkV9FVz7wW6Nkgfs4oEJYYt1BZ6fGnaq8RVkLMCnt98PQcL28lNvwglFI6owRYZiqo3HE8ulkhrEIeLOrAJ0beFcxd+BltWOsMpK+C5bffTkK1jdsfSaGybZo5ZO4izyCEotmXcj8NEyKtpYQZMCBTrDmxnz2AeBRzKBzy/YwU9Q4eYOPpsFnZM59H1v+O0qcdwzYJjdfCEIDqGZM+UJMgwRfVJuWKJwpIBpgN99AyKyufTbF8pcXz49tV/V1s1fcwAlerXD2vSmKCmxVS1w5FV1GRx3Ut8+4nlfPiEi1g88RgKvqWbC4uwZ5gIqLddLBGwp7+bW15awQeXno8dZnnN9esrlbl97VP86eXnac7WcNmchVw6ayHberv4yTOPsXLfTkbXNnLNwhM4Y8p83MDnpQM7uW/jKp7ds5WhcgnQfVHOmjqXc6bNZVpLWwX46HazpISPp2Sc+UlQlh3hYwkVyeEn3yv5Ab9d+Qj3bVvJj3/8Y9761reOeO2P2P+MGQni7puWUp97HSSI8x7N16z4L/VJ+VuwIyDlr7QgCKLOnf/6r/9Ky+P7SU7j1QAl6YgnAUrSjJNr5IVLoRSqSV8ni+6Nildy8jMABOKsS5ICZgCD0fqXoQM+5NqUwmzNgGuRswN2FrTaVoAiJQSpcMemUN84Vs1pTzvPlu6825D2yFgKL4jPoeTJqEC56FkMlW2KvowoNV4gtTRs6GiYCJUE+jxBSmoHPxv2USmGWQObGIQYpb8yuudKQJz50UWLusYkYwdkbT/q+u6FzRQztl40SiFNy8jLpi2fgbIdKZllLNODQH+nWUiylk/KUuQ9yaAnac940bX0A8j7mnrjCEhbAc2ZMoNlmwFXT2KzWwbIWAEDZYu+UgqBoiblUfIt8q5FXcqjM59iUmMeScDe3u1s7+6lPttCR+MoHKsmagi5/eBzLFv7Wya1HsMFCy6gMVsbZS5sqR2oIPBYsW0FD6y7j3GN4zh99sXs693JCztX0FLTzN7ePXQNdZG2U7i+x1Ed0zhx0jzmjJ7KL5+5g2d3ruO6JRdy/sxFOFJUZEv0NU84NFXPznBAZTgbvks1UUR4c/cBPnT7v0fvvWvxeSzf9iIDpTwFt0TBK/OepVewZOJR+EpEqmxDnoXrmxouGUWf61Ieg/k9/Hn1bRwa2M9gaYi/P+OtNNZNYfnmZ9lyaDM7e3bSUd/K9y96N5ZQHBro4rEdG3ly50bWH9xJ2k7jWDaDpSHGNk6ktW4cHQ3N7Onrpq1uIpNHncDuwSzNaZeDg93sLgzRVjOFKXUlip5FX9kmZ/tR35wXigOR8EKDqqdJOqSlVgLa7BbZqzaQEy0MBvvxVD689hkskcZXJZ1FscYBUFC9TGYea70HsWUt06zjcPHYqzZQ8jsBi7TVRLOYQIAf9dDJikYCAupoDutLtGKZpwL2ir20MZr5NfDCkMcgfbSrNhotm2IAnQwySB8BftRvp2vz7xhbdxQzOs7DEeqwII1x9m2pIjpmkuJavVIl+0aBzh47osS9q75OpmERcswxjGMcLZZkg9+Fja6LkVgU0U0+Hd9ix8tfZ974S5k37vgooyNQDBb3c9uzX8WSKWaOOZ7jp1+CY4koQ52xA+pSftSnyvT5kahw/o7nYwNSnKqeO7JqHvcCWLN/C39es5ydPQfIOhnOnnUyl81ZTEb6pKQfObhJJ9sKRSgMcDEd6M25VAMVfd2Cw0BKcvvhgEpUJ1L1LFfTspJ/v1agou9zTAX2lYUXFptbCQlh81nznU/u3M5nH7ibNy88jvNnn0mPlw73BVkroNZ2SQmftHR5eNsGalIZjh07GaACMFgiwPX1NjesfJJTJ03jA8edBkDZK/LAlk38+oWnGHRLDJaKNGZrOGvqHKa3jKLglpjQ0ExvcYg7NrzIi/t3c/fbPo2UVgQWdWDCot9LVQTEDFW61ipRCuwKKpjOOMV1ps/u2sS/rbqXyy+/nB/84AdkMnG/sCP2P2sRSPnd6whS3nwEpBwBKX+F9fb28va3v52XXnqJP/3pT2z97l0Ah2VPkvUnnpLD0rsML99MSLqojzBaHlO6zP6Lnu4sn7P9iiiibpYnEpGwmMIihJZZLUddtXUGpeSbRltExcCmL0jJs+guORSC2Nl3RBixVLoGpT7l0Z4roYAaxyctAxxLF9UPeZLeklbGSVkBvUWHgqeLcrO2H8kap0OnP1Ba8ascyKgWpqesHftAQY0FrqIClARop99V8f8GTDlSUef4URQ9AoiJUZ6yQlpAEDs62gmKaQqWVFG0VwpFWgYRxcsP9D00tLgDRa3alfehLR1nv4ZciyFfUGsHNKVdDhbSTKrPY8sg7D4PrtfH/r7dFMo97O0fpDffh+t1U3SLIOtwrFqyqVqESHOo93kGir201nVwsH8PTbWTOGXup8jaZXrzvby08156BtbyntM+T41DRLPSogCKbV1b+eMLfyIIfM6ffwljmuex6cBL3L7yt1y+8Hw8r0BrTT0LxkxhS+c2Fo2dSk3KqIRBoAIODvYwrqEpypIkx52xaoeHYd4zYDn5+7WYec4GS0WWb19LQ6aWY8fNwA18ntq5gVG1Tfxl3TMU3DLvOeHN7BnopblmNLZU9JZtCp5R/NIqXq0Zj00H1vHjx67nzBlLeeO843nvn/6FeWNmsvHQNqa0jOfEibM5ZvQoJjW2krKd0OmMZZONRKMUigMDPTy3dzvP7N7BM3u2MbNtEhNbZzFQ9pjZcRJ3r3mQxmwdZbeLmR2n0FI3loa0S1/J0VTIsLFo3rXCepn4GqYsLU+ddy0OFR0cAV1+QK2QbFddFOjXalrBAJ7KI3GwZU7XhQR9BKqIIxuol2MxDRw9VcSjiCNyzGI2TbZ+vmtSHiVPC2eYPiFCaKBQCkUCyr7EU4LGtEut4zHo2mRtHz8QUYNXgM2FsM7n0EN09q9j6ayPahn1JPUvpGQOV4gOCfqsintNKESYAdXzkx7nHnc8/wVmjb2UcW1Lydp+RMcqh8C0t2yTs4OIyrm3+2VWbvkxly7+R+qyrdE43bT/aTbsfYxjp13Ho2t/QH22hXPmv41cqlbXHYSBh/qU7pNjh8eelCmuqF0hmVWJGyqa5yt5rknH3YC1lAj0vRAKiyACQMMBFYXAFn5FxkWGwMX8rb/3tQGVapCS/HvE+rKqv5Ng5dWASnSvE8BmpMyKRLGh8xAfuecOZrd18METL8OlLjr3jAw41L+DD91xI2dPnUNbTR3vXHRSTG8jpsuZ1146sJtP3PMHbr3mvTRmMtG18X2PVfv3MLa+iWf27OIXzz9Bd2GIjrpGOvODDIYZlenN7fz8suvwlF2RpUrWqZaVFa3FOUtnHr2wrwvoOcaLBBLi894/0MfPdj6OUoo//vGPTJw48bDrf8T+79sRkPLfY0dqUl6jvfjii1x++eXMnDmT559/nqamJrZy12HRQLOAVmdRkk6YHUbAvECX1xXDhn0GlJQTksJxBkR/1lBUjHqWG4Q0rhCUGJDiK0HR1ZmMoq+pL0Ohk2YK8o2kcIDOkMxM64nSVWEvkHDiLgW6/iFrKdqy5SgTkpLxomwW6JwdYEs3AlXZUB3JSLYaWWAwAEo7DobOJARkpXY60lZAoCAt9DUy9TAmK9FgBeQ9vXC1ZMshhUc7oX1lB1/Fal4ZK6Doh00aLX1MJWVAiF4EPSXIygAPTTNJh58pBQKQpEM6kxMClqIv6So55ELVqJa0z4BrhT1oNP2rNe3RmtMLVxsaeKYsIBjgyc3LWLHtcZpzTTTnGmjINjC5sYHG3BwyToaBUoHB0hD5Up68280ZM0/m2AkLkcLiC3d+mYHCbu55/rPkyz0IoLmmhfFNHeRsF0voPh62UHh+gdtX3c2K7c9x7txzWDTpVLqLFg++fBsv7n6avzv+SpZMmEvGCkgJ7bSMr5urI4CRM6OdoMmN9Qj8EYHI8LSu5Pv6dyylHTtzUOmsJD8bv65j7A2ZFBfPOipyMFKWxRlT5qIQXP/8AJaUfPov36anMIAQgisWnsfuvk5WbHuG2nQtn37Dl7GllkxurR9L2nZoTGdpzjZw4eyltNXU8YElpzKjpb0iKq3rPeLzsYSm0ZkS2fEN9YytX8jFs45i76DHj5++nwfW3cvSiUexfP2tWhLVbsaizLL1d9OfH8/cscdSn3K1pHHGZci1dD1U6FSb66b70Gj1seaU7mnTYQks4dMiGrFlPV6glf5M5PWA67NL7KDGamEcY1ivVuNSpIlRDNJHVtTRTuiYAxk7oCFTpr+k64t6w1ooE8n2AhllQ1uzJQqeTdb2GCw7lMPnywRZyr7EkQFtlkMxAFU3l67df+DBlZ+iLjuKhZOuprFmbKxmGN7iZBAnus7RgIgj9gEKOxSTSIUAYG/PGoaKPUxomUrKCnRdhFRkbB/H0pTE2pRHwbOol4rBskVH81w6+47ntmf/iZbaCRw9+SJGN0xnd9caGnId1OfaOGPB53lu86+55elvcsHC6xjdOAmFnn8HXRmJhVjEgGM42K3rEvVfCl2XZ1GZtXDMliLu5i4SGUqlCOs2SAB942zrGhVT8wBBRa1K8grrGpmRa1Di71YERnZhhG2rrUJKWAxTpxI2eEyeo7HHduyi4LogLPpLZS6cPgXHTmELn0DJSLY4CjAhmNnaxk1vvJrPPnAPn7nrZ/zDKRfQVD8tzCAHPLlzIzNaR3FgqJd7N6+hvbaGC2YsRIgQzEmFG1hRBm9XXw8lz+PZPds5e+qsuMDdslk8dgIA23u76C4M8eUzL2Xp+On4StJbLCKFYNmWl9ja3cnk5vbovpt9O2G9DKpKdAARyrLrubYcxI2GDdhVCkbXNfDYY4/xsY99jEWLFvH73/+ec84551XvyRH7v2SKkfnLf+1+jtiRTMprsRtvvJH3v//9fOYzn2HeZgWiMm2dzKQYYGEyKJEyV7htVGgXvlYO6VtSKIq+xPXjydfUkpjPBYkoYrLotBz2IdGZExFFZ4bKNjlH140MuTZDrh0W0OvPuoFkyNf1HimhVaha056WNg6jpE7kmCtqHY/alEfWjiU5jVMCuu5Dc2r1ORlqjS3j+o4hV3fqjv/X8qdWuL+mTJnOfJoB1yZt6f4W5tydUJbWCiWM07bPQNnBDyDn6OhTybdCOeY4C6JlZeNhXuN49JdshCCicRlAaUlDvdO9YpIF8REVJBHtNXU9WTsIJYN9estaTawl7RMoTaVLS0VTxqXWGWTNrod5eusyJjeP59IFb2BKy9gIWBpL/p10LTRgDXh+10soJLlUHY25Rlpr6pHCjuY1RyrypQE2H9rMn1bdyai6Ni496kqUPYaim+emFT+gxrH5wIlXMb6hGScZpQ2pIUlKCcRUEmPDacoNVwA90rbVVg1QXsmS0XT9fxyRvWP9C6w9uIel42eyct8Olm9dg68U7bWNbO3ex5VHXcBJ008jJQN6CoPc9PztHOjbw5fOvIqOxtFIdBRTq5HF1JnqCL9xOirPX0UOYjl0elbs3Mi/PnEvvgqYM3oWuVQWKSwsK0vRDxgqDXLc9DchROjsoqmdRc+Ka9lCQGeyGW6oNFf2ZSLaXSkIo5QRxyBS9Rv0JPWOPpdDJYseijSQoSOji/yHPCuqvdrp6aBFAynKaInwFsthXE0JJ3T2o8yiEgyUbfpKTiSmAfochlyLA57CVT7CG6SruJO+7mcpDe3gzPlfIOfI0GE3QY/YwU1aHPGvHAfJ7Vyvn6c3/469PetZPOVi5o49GStR/B6oWBGr6FnkPTuqDymW9nKg70Ve2HYHuVQ9UjicOufvGN0wiqJnMVCSbNz3AOt2/Znjpl3GiVOPRwgdJEpbAY1pL6J7mUxJnO3Qx2eoRcmCep0ZMZSsynM19/WwaxBmSV8to2IyJ8NlU2Ia2MjZFAAph69jGak+xWRpApWoO6rOnFRlSUymxFcWZ/3mBgSCmlSa3f29fOvsczlriqYumixMxFyI1uAwoxYE/PjZp7jppdU0ZnKcOHEWbbkcf3z5Od67+ATeOGcWT+7ayhcfeojZbaP49EnnM6pWZ4vdQFOzfCW5+cVn+OULT3DTlW+no67+sMyWPm7FH9eu4WfPPYavFPPax/KlMy8jZaUYKBX492cf5ozJMzh67PSKzxkzGZKKLBKClPAr7pGntKiNj4wYAbrXiuDBzav45ar7+exnP8vnP/95pDzSVeJ/yqJMyg2vYyblbUcyKUdAyiuY53l86lOf4oYbbuD3v/89pZufqQAmYDIm4WRLnEFJZlEgltMk8blyuLgbFa9yICh4soIyYJwAK+Q9eyE9ynCeAyWwZRBRqkz9ifl8b9Gh6MeyuMmMhKdilSnQDRYlUGv7EbVJv67rOWpTHjnHr+BbJ81E7Ey2x/QUUCGQAk1bAyIZYCMFC9CcLeP6kgNDaQJEWE9CRGvLWLEjbVsqbGIJec8mFWrt21J3Ay/6MlQU05mX9myJjO1TDGkojhWE1Bp9fZNNBQuepOBbKKAl7YYUobgrfaTqI2NHww1ESMcLGHStCkBV8gVFL2Bo4GFWbb+Lplw9ly84j3ljplT0tTGmlF6EnIQzkHSQkzVPBpwmn+IntjzJXS8/wEBpiNaaZs6efRbzxi2hu5Sit+iwt/NR7l9zC1csPJtL5iwlZ8sKGkmS627Gbvx35TPySuDj1WpQkjUHhyl9Jc71lSxZs1D9mvm8r6DgKu7a+AKPbV/PF89+Fxs69/LQ5hd4YusLNOVqGSwVyLslzpy6kM+ccnEEQKRQieimqqi5GemcjBn1HtC9HZ7bu5cnd++kv+TjBgF5t8TKXS/y9mOvYPdggZljz6Yx7eFYcT8jc5/dsBcShAqAgQgB+uECHGaMJt8z85YBLW6gM4SmSWe/K6MaMNC0ziFfMBh41EqbrIQ+X1FWPrNqAxrSWijDCD2kLd2AdMi1dT8J4rmj4Fl0F51IFW9XSVDyS2za8HU6muZx7NTLEgpZlZHlCIyGUffqbZLbmZoySyr2dr/EY+tvZkLLTM6aezVC6GBHKaS7er4WVEheKyOh3jl4kH29m5ncvpT6tAhVAa0oINI9uImn1v+ESW3zeMO8K8jYNpbUhdpNKa+C7mXmSSsBSsw4iYFEEmCoKIs0nLtZDVKqgwnJ4vnhCuxt6YefjUGL3t8r0770Pv3DjqP6txzm+TBgZSSgYkCKQpB3M3zwrttY3DGeaxcez2fvvx1LwKTGOhSK0yZN4tiO0a8KVsq+y4rdu3hgy2a6C3lOnDCJq+fNJWVpUP/Urj286/Y/05jJ8NmTz+W0yTPwVZy5FCi+8/i9vHRgDz+/5Grqh+nyLYViqOzxw6cfpei5rNy3BykkR4+ZwOi6Rk6bPIsVu7ZRcMu85ajjIj+h2jRtUYbVUofPvzr7ZujklcqHAFu69vODl+9n/vz53HjjjRVqTUfs/54dASn/PXYEpIxgXV1dXHXVVRw8eJDbb7+dl7782+g9U1cCh0sLxypelRmL5MTvBrq7uXmvHDkO8eTjhTQuQ+vSnd812DCLqiNVFF0v+5Kib0VOq+GTD7kWfZ4gZx0OSsyU6ZkFHk3zqnP8CHBkwwaNWccnZ+sicah0Ck3fiej6hL8NmFEQUbxKvgyzFXob43AZOeSCZ4XSo6qC156ScVO1QGnQ5iVoLSVfF7uXQ0DmKxGpbIHOajSmy5R83XivLuWGoC520M1+ktHnjBVo0BXeTxVmdCxJRFMr+yICUuYcs5Ze0LO2x4GeZ3l26x3YUnHBvHM5YeKcaJENqMyaJJ9GoxQkiGlr5torYrCS/PCzO1fyu+du463HXsXMUTNw7CwFX9JZdBgo2TRlXNJygCc3PcDDGx/jF2/8FK01OZxEtqBaNQhendKVtL9m22qrBiWvll1Jbj88yAE3CPjx0w9zx/qVfPLkS9nQuZ97NzzLCRPn8fSudcxsG89RY2dwy6qH8AKPW9/8CWxpRccfFyPHkeqRrPp842Z7glJgUw4s+rwUQ2GW5MZnbkEpj8aadlobjmLhmFH0lS0ytu56HwQmaqrHo58IAAy5FoNlW6sCJjKrcDh9zlDrLKnIhxlVS6iIEmWanfpKkJYBnhLk7IDOkk3OCmjOuFFAIBtSpyT68/VpD4GegwqejIIUjqWbaA66FoNlhxrHiwDLoCcpFvewYu0/M3PsGXheH2WvTEfTTDqa5lCbaRl2HCTHVlJy3ZjJ7tpSUSh38efnfsS45imcM//aaDsDVMy8maQ12VJF2WMh9PznSEU5EFpoJJxXC+VuHl/3Y2xpcdWSd1KTqkMKXaNXYwc4QkXBhWQmpTqLEv9OjDVM1mz4zApUigUYKuYrZVP0mAgq/hYh6E7WnbxafcpIBfTVIKWaplmdVTE/QAVQKQcOj2zbyj88+DC3vOk6Htm+nXs2vsjU5hbyrssTO7dwx7XXMKomW/nZKrCix0IQHYc5Pt93+cuGTXz+oYdJWxaNmSwFz+X48RP50HHn0JCtje6VFwR8/oE/kXfL/OiCy8nYFqYxo8l0fO+p5Ty4ZRNDbpnRtfVs7DrI3PYxfOn0i3lo20YODA4wVC4xuq6ey+cuoT6drcjAmvVMBzTiPjjDBQGTtHHjc+hrIBgq5fnFoRfYu3cvt99+e9R1/Ij937MIpFz/OoKUdxwBKUdAyjD20ksvcckll3DUUUdxdXY2WSdUCwnfr86IJKleZvLwVdzN2qhvKaAQKgtBnCkxssC6r4aqkOg1sr5uoOkUMlxIi54VFd4XPAs/iCODTtioreBZFAJBOTD9hXSzOyMpnKQRmYaDpujc0C/q024EVBwZR/TNcUcSyKHDnawxMNubrEyy2N+YG3a69wJB0dPFwqaoPu9a0bVORm2No2YK/y2pHbacHTDgWpFCkqF8pa0gOp605eMrXdPjByKS/bVlUFHwK4hrhIzakCm0j3j34YAoBZJM+B1FX6t8NaV88oWXWbn1VgZLPZw75xxOnXoMPk7kYFQXgMapfK2mFkubHi5fmgTBoBuJ/eTx37KtezdXH3Mp49qOjmg7Q55ksGwhBbRlXRwZcOsLN5GxFJ88+WJSwtd1NlRnUF4bxStpSWrYf9aGK6J9te2qt9X3y+f+zWv59QtP4Fg2J02aw4v7d7Cxcy/fu/DdTGtu4WN3/YbOoUF6CoOcP2sx71l0EjnHGRZcJQHca82omLmhHFiUAw0oyspi0HMoB4KeoS6+8uAvmNg0Do8Ubz72jfhkomdQZ0bj7JrJVDpSj7X+kk3Jt6JnwwQpIgnysM5LKUJwrecOA/TNHFTyYgENL5CUfV3n1VdytCqeHTt8STW8upRLXcoLa99k+EzpeStt62tUcC3KgSQTBhF8JegtOgQI9nStYteh5bTUdiBEiv296+gc2EpddhSzxpzEtNHHk3ay0blVXONhhoaZH22pm8oWy7386tGvcNWS9zO2aTKg5wyTQR1yY0lys7+0pc/XBAl0bZxublvwLE3DCwSWKPDYul9gSZtrlrwtmq9rbJ+sFQxL+aoGJ+a79ZipBCqxcp453ziLkrwGSRGLeP6NFaXivytliYejfVV8z2sAKq8GUswzYCyZVVHRulGZTQmU4AN33UfBVXz+1AtoyNZFc96XH/ozDWnJV848LTqOCtpYFVhJAjFJwP7BQU67/kbOnz6NNy9YyHV//jPvX7KUZ3bvZM3Bg3x46WmcN31hROkuuGU+cMdvOW3SdP5u8dKQESGj53/Frh18btld/OSia1m2ZQPXr3wKXwXc+ZYPUJ+pD/0BSedQH794bjlXzD2W6a1jYqYBZj2NQUqcDVPDAhWzvT73OJte9gOuf2EZy/es4+abbz5Sp/J/2SKQ8uvXEaS88whIOQJSquzWW2/lHe94B5/61Kc4aquPHKb+5NVAiqkTSVK9Sr4uWC+EDeXMAqYgctKTZoeNBP2EcpcXKoCZrIkt9OI56NoRSDHRUb2NZMDToKQncKkTTgRIjCX7iZheIgVPR1Wztk9Nyov6tcSccf3ZIdeKAVeYHTHRfVuqKPOSDlW7DKXHUDN8BQNli3y46EcOrojrcfxA1/foe0AELMx39pftaH8pGUQAz0gaO0KrFQXh8bblytF2Buwke6SY4noDNAFqbJ9yWJBvsl0ms2G2b8m4Ye8Uyb7+PezZfwud/Zs5Z9ZpnDPrBGwrTcmXDIXXtsY+vJN10oyMqQEpFc3WqgCKFPCHVfeyes8GPnHG+/BELXuG0hX1DWkroNYJ2HpoMwf6dnDv2vv44SUfYHJjYyhrGlQ4TocDlsppopqqVXHsf2X2ZCQbCaCMBGLM62U/YG9/H19Zfhc9hTzXLDyFZVvXcHCgl4tmHcP5M+dSn64BYKBUYvn2DSwdP52WXG7Y2pOkJa/LqwGVpGqZ4ZV7SgOEUmDhKh1U6Cnk+c6jf2DIdRlVP5pZ7VOYN/ZolNBypOXEuPPD8WqEJsq+pC+srzJOjUw8o8l5JWMHIc0yvF4GFEdBEp39GCrbeIGkPhTSkEL3bvCViOacsq9d48ZMOar3GCpbWuZaCTK2poX2lZzoe4zgBsBg+B1xc1sdBHADiesV2NW9ir2HHmSo1Mnx069hYttR0Vw83HWO7o8wAZIgzIoo7lj1a1pr2zl91rnhcevrYhpwauGP+Ngsqah1tGKXAjJh9njI06prbqiSKIViy4GneHLTXVy04BJmjp6HFBJbampqSsZAxTzDMSAZGaRE71NJ9YxpYPE8qV+PP1NN8arOjJpsitmPSGz/akBFjpB1qVABE8Fh84GxarDySkClM1/k/zz8OE/t2s2XzjifxeN08foj29Zyy0tP8fsrLidty4pameHASnKMmB4x77r9Tiwp+P55F3Dvpq38w7L7APiXN5zDNx57gtG19Xz97MtoytVxz8Y1PLp9I8/u2c6frn4Xo2pzleekFF9Z/iDP7tnJ+5ecxsuH9pGxHXKOQ3+pRNZOcfLkuXTUNeAHAf/x0tMUvTKXzD6W5lxddH2jrEgiUzJcRiVWEA3nA5IZKj0mHty0mp++cD///M//zMc//nHEcAvMEXvd7QhI+e+xIyAlNKUUX//61/nGN77BDTfcQOr2VUC8EMQRjDhrEP2fACnJmhQT9c77Fn1l7dDXOFpX33zWOOpOKHnrBoJsGMUzUVPznW7oYJQ8iackzRkd6dSRUaKCeVtqfnjel9gC+n2Fh2K0o7vGG9leia5DSUnd8bw57eKExeqWUNQ4Hhk70PKaUkcUDVhxA8mgK+kpOlGWwwtBlcnCZB2fjBVUnLMxgXbwh7zKzJKZTk3xvokQm6aQRU87CbWOh20pugopir6kNVOOalWU0tklk2ESQvPFTeRXCBgo2xUUr6Qqm1ECS0lN9apN6d4qJV+QD481F0qOlgKt+tWaK7Ovr58Xd/6FXZ3PcvSEE7l8wWm05TJ4StcdFf2Y4mVAiiQRDU1kuIxzkgQpxoKqJ3bt/s1879Hf8tmzP0RjzRgO5FP0FLVGkBS6YD/nBGw9uJ7fPf1rFnTMYM6oqbxp3tGkpU9KehUgqLpQfiSnYzjg8t9lI9WrJF/f0t3F9556mGd2b4+O5N2Lz+K+TavxAo9fXPYOGtJxDwWzX7PgJ+sCzP8jWUypeW3nbCgdnoo79/phhsVVFp35Am+/5dv822WfZUtPFw9teobLjr6K5qwTAROBVtpL9ngB6CnaUcPUtB1E6oEG7Hsh3TQVUhe1EhQVgAXCHkyBwLFUVDuWs42whHlfhtsE5F2btOVXZDmhMuNhAgqBgpasiwL6wsaxhnJlAiymNs1XgkFPUvIVB3pWsH3X71EEjG6cwbRRSxnfuqACsCRBGYQZSKnnKhUU+PXj3+CcuZcyZ8z8SKrYZHCrr4H5vAYp+jrmbN0LqhAGIUwtWMmX9BcDXt79MC/vXo4UglNnns3iiUuwpdD9U2Tlc5wMOBxOATscpMDIQCV5zslsiiCWyK6sfRmuaP5woKL3F0Svm+NRiFcFKkmQUqFcNUwwwQCVIJDDZlMA7t64mc8tW86M1nYum30MU1taecefrsdXioWjRvOVM89kanPjYWBFJeaGWCFLH+9QqcC7/nInzdkc33nD+dywahU/ePpJLp01kzs3bMRTipRl851zr+C2tatYc3APM1pG8bHjT2VKU+NhWaJAKb71+EPcvXEd3zjncqa3jqbgutSk0nQODbBi1za293bRVlPLjJYO7tm0msmNbfSUCjRna2nI5JjaPIoZraMQQsv3+8jD6o2S9N7quU+fdwhwFGw4tIfvrLybc889l5/85CekUimO2H+vRSDll68jSHnXEZByBKQApVKJ9773vSxbtow777yTXd/7MxBHqAzFx4CFZCbF1JYoRBRtNwBFoKlb2wYypC3dGyNlwEe4nyCIlXcEVGQmBLC/bzcv712NrwRNNWOZ3j4dy6qjr5QKP6PIeza21HEk09Og5FnYIbd611CaekfL9XoqpHaFi2LO9iO6hkA7MlJoqoZSUJvyI+ldKbXssKabaEf+YD4V0aqAKIKZtLqUFzk7oPdRDAuBDdVNEPPJTbRzyNXc/PasS3fR5sBQGi+Q5ByPAE0Z0c6DRXu2hEKLCmgOuW4UaWpHah0vBFIypGxIalOell0NKW5lX+KGdBRbaoUiExX2AklPMRVFsQ1nvMbx6C0UeHbrA+w89BCzxyzgzUefSX2uhZQ0TR6tCNh5gb6O2fA6G/55dfM3iClzxtGoBid64AV8+LZvc/G8Mzl64gkUfMmO/gydhTRj6wrUpzwGyjaul+dXj36Jdxx7AWdNW0DW8nFEZXO4aqpWddFt9aJYWR9gHBd1GI3t9bBqpScIZT2V4pk9u/nL+jXcu3kdlhCkbQc38JnbPh6lfC6YOZ9zps7CsZyKzxqrVsx7NXCmt31tQK76eIMq58mogA14ab5w//UcHOzj8gVncTA/xLwxc5jY2BwGEQSlQEYCFP2upeVchX6Weks2SkHaUjhWfAe0PLOKsmqmhs3Qx0z0FYgyBKmwuagUOpsqhAYo5vvMuQ+5VgSEIll0ESsMKkU0F9SmvAj4SEEk/pG2AwbLtn6Ww2xKKVQuKwXmHHyKhR30DbzI9gOPIoWgPjcax0qTsrPUpBuY2LaQUfVaGlYIPQ+W3X7uX3MDKMUbj30vtrQiKmmynsXU+iSj2pZQ5JyAOlsHWgy1NR8GNDwlKPsmGyNRymf7oZU8uuFOcqkMiycuZlxjB2MbOqhNZ6KsqBTDUziToztJ+dLHGmdVYHigMlzfoiQgMY5ukvpVDVSi5o9VGZWRaF/6e4Po/1cCKRXPQWLNDJQkCEzwJvw7fE5W7j3AM3v3satvgD+sfRmAX1xyDTNaO+gulrjlpae5de1KPnLcUt521ALsqu+rrldJnnN/qcR7//IXCp7PFXPm872nnuC86dO4Z9MmTpwwkSd37aTkeaRtm6Zsjjvf/M5hzyH+X3HzmlV876nH+MBxp3HhzKPJOnGWP1BwYLCP369ewfzR4zhrqpZL39rdSdkP2NpziFX7tnH2tIUsHDMJ0I0f7egeDnMdk+eauKb63AWHBvv53uZHaGxs5E9/+hNNTU3D3o8j9vpYBFJ+8TqClHcfASn/60FKV1cXl19+OUNDQ3xs6qk05uoPo3uYBaCsrLC2Qi/2us+JiICJXzVR9JRtekpaSjdnB5TD6J0pzDYWKEF/SVEo7adnaD8HBw5QdPMEStFU08HUUccgheDR9f/B4kmn4srZ4SLqMVi2Q1CiF/2GtEvW0U3hCp5Ffxi1FAL6XIvakPJRm/IirrVAR0Iztk+t41fQMjJhNFGhF766UOr3YEE7fEay1NSUmIitoUOZxcGANGNuCFDMNmb/Cl2LooBax2de4xDr+3Ns78vhh9c570ka016kXpRztGKNESgIVBwlTYW1IkZq1A0jybWhNHPJi+teUlZAOix4N9z2si8jqVVTOGzU1iSKHYee55F1v8MLXK5ddCkLJxwfqRilZEAhvA8ivEYlX9KU9qLv0MBSRdSQ6nqQOPJKOLZiE8COnn186b6f881Lv4SnHHYNpunMp6lPu4yrK9Jfkuzt28/WA8/w+OaH+eGlH2VSYxMZ6WGLQNcphJr8KelXODCv5nwPx5H/77TqjtMrdu3gS4/cz8Ghwej1OW1juXTOQt4wdRppO42nLOxQlag6spo0Q0cEImfttdTiJMHKa+kfUemgaQfKDSxKgU3egxU7VvP9Jx9gcvMYPn7auwlE7OgIdOYuFWYC+sOaLeNAF0PaqAG3jqXHlwkcuEGsXlQOBSWckMpkjssL4gCKARVAJAde9Cwa0m4koGEyEpmQYipCsD8QAg+AMbVFahw/lD8P68GUoN7xyHtW5Oj3lx3dh8WTFbRa49DbQlHyAvb3raXk9oAqIYIBDvVvwZKS84/6kD4Hv8iTG29h04HnGN8yk/Pmv51sKgQKMq6VMwBNZzJj88PX7fDZa3C8sEZI03hLvoyovSVfB1mGvBAABWVWbHuSPd0b2d+/h/5CP0eNP4qL5p1HS21TxbmkwmxPNaUnOdaqlb4O/3t4oBIHPGLaVzVASTrt1RkWvb/hqV/D1adIGUQgpfp5qH4ukupe1UDFVxaBkgyWfE7+1Q00hB3Vy77HhMZ6dvb2c8KEaUxqbOGkSdM4ODjE15bfxajaWj503GKOGd1OxrZJ9l/xw+xlkp6qx6nPL55/jp899wLjGxrZO9DPG6bNoOSVeWjbNpoyGb573rmMqWukOVuD6c0iUezu7+dnzz/D1p4upjW3cv702fzk2SfZ1dfLOVNnIqRN3nVZMm4yJ02cAWigsquvi9vXreZDS8+omAMECl/BD5+6n7OnzWNW2zgU8Vw1ElCJrmni76QKWL5c5jtP3k5PyufOO+88UlD/32hHQMp/j/2vbua4ceNGLrjgAubPn8/dd9/N8g99G9O0zCimBCrseRKmX320MpcfORgi7AqbyK6EfUJyVkA+XNyHXM1Fd/0y/cU+Boq99Bf66S/2kS/1YEtFc+1YmnKjmTN2FrUZzZnXjq3F3p51lNwBth1cSX1tQEPtHLqLKWodj6xdxi9v4rZn/p2lU0/jtJnnMhQu/mYBc6RiVMbFV4IJTXlKvuZXmyJTL9BZhMDWtKiCJ6N+KMYU0Fe2yXsaDJRDSpSJ7hqAYIpRbanBmZbm9aPzSVsKJUGosI5FxI5u3tPUt5zjc1TjAJsGc2zpqcEOGyiiBPUpD4GiNuVF9SpJcJJUwvICiR8uvhlL0Z5zowUsFaoWBcTRX5NNasp47BtMR4W+Ah2Rdiw3Aj+1jo9wHY6deDR7evfy8KanOGHKEp7ftY6X960ll6rhxCnHU59rphwI7lh1M51DPbzvlPdFUb+kM5akZlTy1+PzM6PM3Je1B7YxrW0iCJshV597Y6ZMzvHpLwzwqyd+Qm++m3ljZvG+E65mQkNDqOSV4KejorqU+DgqHZZkIaqxmBv/fwekmNsaoCl8n192Dz3FAmPqGljcMY5LZ83jqDFj9TZKALEanDkvTVk5vMN9MgoNDAvQRqJ2VTp2r3wtTImIcU0A1nftZWdfP1nHYW5bC287egmP79hOWroEQs81Bd/CU5IGx2PQs7CFYky2HDYbjeuoBlzdDR70s5YJqZqOUFiWzsj0l8Ngi1CIQNdPWFI74Y7UYKfO8vEcDVQMHTETjvmCZ5H3dLE9QFNG167UOlp+1w2zhEZlsOzrucTQXfX/fpjxUHhKP+9pO9C9S1yLtK3FP3pKDoES1Nih4iAWHU0LImqbUoKugS0sf/mHCDwsaVF2S+zt3URzzRjeMO+tZFMZrMTt9gKBZamw0V+c2TBmiuVN0MRkv3VHe0U2vI5FX3cDdwNBQ9hc05MpTp1+ClKeglLQOdjFQ+vv4UeP/oxPnPEhGjI53Q40XEPKgb6uNmHmIzmuEpmTijGUeC1AIJW+1nrdMk144yaPcQZWhs+AWdvC7KEi7MERApYEjQsq6zGVElgyiLziQMRNHvU2kqQM8XBzQ8VrKiy2lxAEYdG4gt++uIYJjY38/cln8sTO3UxobOKHTz3M6ZOn0JixWL1/C//+3GO8ad4ifnLx2/jd6if5+weW4QcB//KGc1g6bkz0PRa+rldJfq0SpCyLDyw5jtmtrXzyvgc4f8YM1h46xIbOQ0xqbOSCGTP46D33IoA3TJvGG6ZNY1ZrO//+/PNcv+oFTp88jSvmHM2GzkN88K5bKfs+s1vbQQhyToqsk+KWl55j9b7dnDtjHlOb2xlV20BnfiACJjp7a0Cj4APHncUd659n2ZYXuXTOUjrqm5OXqgLQFgMbizigkszAK3Rj0bqUzRdOuZxlLXmWLl3Kbbfdxsknn3zYPTlir6MFIp7o/6v7OWL/ezMpTz31FBdeeCHvete7OOVgFiec9ZMABeKGSwFxbYivBD4iKtL2Eoocpji+r2wzUNa9S/b1bmHT/mewpINjOeRSDWTTTTRk6mmuqce2GnBsU8itKRtGKctM/nt6NmAJyaiGsdzy7A3MGn8J+bLHod7VoFyaaiexp2cNZ817F1nbjxR2zETdnNEdrU3BuBRx35ZcSGdyrCBqbngwn9KfCbdJhyDBNFfMWIpBV0b729WfZWJDnrKvnZKM7ZMJHZO0FdCU1pQvP6SGlMOsiBfEfHtDxZhcWyQrfV7qq6WvZLOjP4cbOlymoaTJHnlK4vlalcsJz9eoCpkCWik0zSsTAqVIwjgwDeQqHVDD+Xcs7awMli1qHH2NjIPgJOpzHKnoHNjL95Z9j7b60fTluzlu8nHs6tlNxk7x/pPfwb7+Lr567zcB+M4V34kWFBF+f1oGkUIYmCzK8I5x0nn+zvKbGdc4jlNmnMWhokPBk+GxCu5d/UtSMuBTJ19KxtGqYqZBoSP9BJVgeHqXidRW07eS4OSVajKSUcC/xszxHMa5VgI3sKNj6ykUSVkWNSlnBM57ZdZipPeTx1idQRouwv3XArfhqGqmGZtC8Hd/uYXn9+6mLp1hydjJfOqEk/joPX8BYfHhk6+hLtsa1aOBdpptEVAK6SAF3wozcaFSVzgHlULapCV0dsDUhQ2EzVNNjxTjjOtzrIzKlnw95o0UshmfgyHdrBw+Q9lE7Rpo4F3wpK4Z8yw6agsMlHWz0YYwk2iK/92gsl+SHb7eV3LCOrTKHkWGAkn4f9kLuH/Vl5gz7mQWTzoVBbhegfte/BUZJ8d5C9+BFEbdL4iK6y2hs0wpqSIgZp65lNSF78aZNGPGNILUY0pnnYwoSj6kmio0nc3MnRKf2164ge6hgyyacBQnTFpMY7YuqjWxBInn8pUbO8bj7PBMpjkHM1aTGZWkMEacXRmZ+lUdpNDfUylRHGdh/FekfMUZlSB8HoaRI05kVLxAcsxPf8e7Fy3l6vmL+NPa1Wzr6WJ950H6i3n+cs2VpGzJs3v28q0nVmBJhx9c8GYsofjL+tV876mH+MCxS3nPMfMQQlQ8r8niegg4NJTn7k2buHPjBtYe6uSPb7qaMbUN/Pz553hw6yZOmzSZY8eO55FtW3lw62YsKWnP1fDF089mdlsH5UAH5AbLJQbLJRozWSxhM1guIQAhJYPlEsu2rGf1vp2019YzvqGZK+cdG1+DRIbHzFVD5QK3r1vFgcE+zpw6nxltHdjSip7P6ucUYtZCcrYx2/pKN7n91eqHuf7667nyyisPG1NH7L9mUSblZ8dTn30dMikFj+a/e+pIJuV/+gD+J+zOO+/k6quv5pvf/CZTnj+kozjoCd6kzCF2YoQAqUIZWsBVocpWoijUDSyKIfVh0LXoK+kCuEAFrNn9JOfMu4ZM2DRPv66L5s2CrJRecLNSUyEs9EJqFrrJrdPJ2AGHBvaScyx2HnqG0Q2TWTTlAtJ2mhrHY6i4hbpUGVtyGPUq71lR/YNlVSlHSb0AGVqXrwRt2TKe0j0TSoGk37WRaI66AR9Drnbeu0opalM+/WUn6mdiZIdF+J1lX5C1tMNU9CsBinFyMlZAW1pne3YWMgyULXqLep+NaT/sGRNPzbZUeD40ZlzSnqYuGV68EWjc2bWRA/07GCoNIEMCvRCS8c3TGd8ym0A5mt6RiLBrx1Tz1F201KoXaK6+UW5zfYkj/cjhaa/v4NPnfJr1BzaxcOw8mnO1DBX7+T93f4NfPPl71uxdA8AxE47GFioq84wioioEa1IdBpwOi+iHv32lWH9gOydPO5VyIKhP+WTlENu7D7C3ey2bDm7m3y/7IHUpC4FfUVQ7XJZguAwKHJ4dqHZUYPjC9r+msH7YbIwyvwR5L03GKlMObGrsIgAt2VgaPOmIVGdM4ogl0f/6+OLXXunYh6u9Sf490vUZ6f8KeVQCjhnTwVC5TG06x9TmJkbV1vLLS6/hS488wO+fv4PPnXEtg54TiTTkfSvKwhRCsYzIIRYajCilCJSuiXKVnsMyYU+UGtvHSFwbMzLdXghwYhU//awTZj7Nc2vOwZaKhpSnG0KGdSwZOyBraeffEiUaUj4C6CqkouL9Uqhy6Ctd42XuVSxoQNiDxWWobGNbiqJrhRliQcZSUZ+orCNYMu0qHl33C+aMWUhdtgE7leGseW/mxse/wq6u9UxqmxnSTlWodmdqNeL7klTigrg2xUia+0pvk6xhsjBKfwHYsRiKLRU2oZiIsrj4qGt5fsfjrD+wgYc3PsZHT30PE5pGh+MPPEMiDiAQQkfIzfw8wjj6ayzOqsTnnMy0mIxKIHTGMgjPTyWel0BIpIqBikKEn5FY+MN/cZXpz8ZgJTqnMKOihL7mnz3pOP55+ePkHJsr5y4AoLdY4n133MKn7n+IT5+whLfe+pfoyVuzfxNHd0zjollHM72lnc89eDur9u/jK2eeRnMmFYElCx+lBFt7e/inRx7j6T17AJg/qp36dJoxtXXUpdN8/PiT+PjxJ0XHfdqkqXz8hFP5/YsvsK23hzG1DQDYwsdXktpUmtpU3PCxIZONgoC1qQzXLDiOee0d3Lt5DWdPnVOR4aqYX9D3vC6d4S1HLaWnMMTDWzdw04tP8LajT2V665g4wEUMVAzFS4/Z4LBtLKG4ZPbRtNXUcd1117F//34+/OEPv6Z7dsSO2P+k/a8DKb/85S/56Ec/yvXXX0/d3S8BYYSQSmpTteOS7PJaDileyQL4oi8ZcrWCU96z8PwyG/ev5lD/VmaOmkNtSkeS9AKoF3uR6ClgIpAmup+ytGMvwkUyFRavt9R0cNmid7F/KIMTAgI/8MPFVZC1VehwmP4n2gFIiZhCZAkdHTdABfSCVA6PJ0kzciyFFuIMos/q+hNN4XDCWhaTWRgo25oGFimC+RE/HrRDF3OStePUkPJpcHTdR1fJod+16C3p/eQcn4aMG0UEDX3NEgolRVhHEkR1NKYIfVfXVlbtepqp7bM4dsISatK1SBk21fPKbDm0mfvX3MSZc64gZedibZjQoUOF9yKM3OoxYfq96EyKUe/RQBOaa1o5fXpLdBz12Tqacg28vHcNXzzvE/zqqZuZN3pGWKheWZcUfnV0Lyqi+VVj2CzsBwd6GHKLjG0cR0kJtndt45eP/5RcKs3k5jF89tQraM1lw8hmJRBJ2kiZjmrnuxQ4ZKzyiOCp4hhfxXGXBFFUM6nMk7QgIf+dli6WCMhZpfh4DagM/zU0MFUFRAwwMcAl2r/isNdGOodXAm0jnuNITqVQiMT88u5jFrG1p4tlW7cwpakdSwTUp+At8+fz0Xv+zL6enYxtGk/Bt6PAhamvCpQWeSgHEsvSmUo3iHs01dhBhSNTDrOWyQamrhLkPYt6x9Nd10NnXEfWBbaI+zn5SpG2NKgxyoOg6aGmQD9rBaRlEPV1sYWekyY1FOgqarWynO1H9EzTsLYsFBk7iOq58q6NHc4vaTsgZ3tYpRT9ZTtSKcuE+xnXPIcJrQu5Y+XPuHTxx8k6Ng3Zek6acQEPrfsD72j+LIGwKYfzbRCeY9IC4tqvpJpekspraDnRHB7GqkWYDXWVwFIimlddIcP50+Gkaadz3OTTeXDt7dz8wl/47JnvDoMjcRRdrw5hQCxKbyXVvaqfq+GH2CuZyQIlAUol9St8XpTJjITHp8SwgMRkQl4NRCVrVJLZxSRQEUIhZcDV86czoaGeD951PwrFZbMXUp/O8OML3siFv/s5HzluEcePH0fR8/nAkpOY2z4eAEf6zB81mt9c/ja+uvxezrnhRma2tjKntYWPLF1MfTqNEIpfrVxF2fdZ8Z53Y0uHHz69gn867RxqU7lEv6pEphVFXTrNe489nq093fzomSf4yNJTqE9ngKAiO2v+To4hKWDhmPFMaGzhJ888zLULljKhsbJhabIhq5l7mrM5dvQeYm9/D83ZTDQOgooxWWnJjEoy8BYowQkTpvHVzFX80z/9E/v27eOrX/0qRySKX19Tgf55PfZzxA73f/5mTSnFV77yFT75yU9y1113UX/3i2HUIsDCdNqufODNZKPVcPSC7Ib0L90zQ0a9LwZc3e+jHEgO9e/mkXU3U5ep4Q3zLmPRhPkRrcJEIv0ExcHQHsyir5tR6Yi9yUQEaDWZvGfRV4qbzTmhkyxE7NyC5oc3prWEcNYOdL8SS//tWLE0Zhw1JDwefRzFsMB/KOxEbYfgJO9pzruhTIHuspx3daHsQNmJGkn6SkS8c5M9cMMJM2sF1Kd0ob4lFAOuxcGiw8GiEwEUW6qo033O8SM55FRYCJy1fS1vbGletwYrGlT05vczZ8wcjhl/FE01taTtuEFiykoxa/QcxjWNx/UGKxw2KXSdjAr/1hSWmDKmlIhocVqSWc8kJpKtpUn1NVy/fxOHBro4b87p5MsF9vbtY0HHtFBpSUVFu8ZE1W9J5QNq6CHmtZ09++mob0OJFEHgcdvKW7hq4en8/k2f5GvnvJkl4yZH97g6U1LdSX442ke12cKPAMBhICR8LfleBQVEa/dgCT+ih1jCP0wdKPlj3pciIG2VNWC3vIhOEh2ziI/Z0FUihygBykbKHlUfd7UlMyZymHNLfp/Z70g0vSSNzPzUpGy+duZZANyy5hluX/8ylgxYOLqV86bP5CN33cjf3/NLHFGM4JwXdrIvmKBISBU19QjpECjYUvcpMk6zCqPnSunaOk3hMtQ9/YykzbMU0qOin5CSaGpTah0/Cp4oYrqmG9JKQavYmUxsc8qjOe1F+8iFz6/JpOg5ibCuQisIuqEMuVI6YJK1vbC5bBApEer7ASfNvAZLOjz08g0IXGypWDTxRDy/zN7ejaGjRvR8D2cRnVfFdYeml0vyPibNFMI7UpGRei7KWgFpMy9J/aODNXDW7HPY37+PNfs2Jp7PeL/6PoajRcU/lWMynjvMuExSvQ47L+Ii7bgZrBj2t7kOhpIYHUvieIYVnxjhtWShvD5288xU1q4kqWO29DhpQhvvO/Zont69PVqrc6kUDZkMO/oLfP3M03Gk5NP33cnWnq7oHAIlaM5m+dY5l/HjC6/iwhnzefFgJ19+5MnoGM6dNpXd/f3UOhYpy+GDS47n1yufxw30WhskroMeEzL67JSmZt6zaAnfe2o5L+7fE13z5ByarPdLPvdN2RzzR43jkW3rK65TNaBJ/v/xE9/A+487nZtffIo9fV08tXMT921axbqDuxKgWlUdQ3J/KrENzG3v4NunXcVNN93EO9/5TlzXPey+HbH/ggWv488R+98BUoIg4GMf+xg/+clPeOyxx3BveDChshJEdQsAQ26J3X3d7Og9xKGh/mjCMg62Fy1eUAxEyP02zdAUf37+Zxzo28rZcy9nzpgZ5ByBLfWCYlS9TFRSJEBFMSwwNQ0GC5HjoQHRoGsxULYZChV9Cp6ud4n6e3iD1KSzUTQzZSlyoaNhgEyS4mEoRcaKnpYxLXg6i9EffpeuqxERYBl0LdwQwAj0OeVdwcodj/HA2pvoGurV4M3TlCg37A9SMg0YBTQ4Prkw8xIoQU/ZZm8+RWfR0fxzJUgbjnuYPTGOgHEGbBFT1kw2wwCx/b3b2Nm1hYUdsyJny4oWwVjad7DYS2O2Xi/4GJ63vh4CTVvRDlQoCR06lZrbHjqZ4fXzEwu8JWDDwY38+xPXk3UynD7zNO5c8wCnTT+e5mxtTOcidn6NHQYeKpzw5GKu2N6zjwlNY+gv9nLzszeQsS3esmBJeH2CCnBSDVCqeya8GkARQpGyvIpo6EhWDUyqueCGDy+FwgrVxUb8kQGO9CpBSxLYEDv71WBiJKAiKq738OcRJByq5D0aCZAkf6LrMAIAGu712pTDo++8jhktLQRKq6ylLfjCqafwuzdew5oDu8lIHcE2ilpadCGmJcnEc2IAhSPiIIZ5VswcoMJgiCVU2PcnSDxn+v9UWCxusiFZK9COuNT9QzK2osYOyFihxC5hnUaYzTHAxWSZa0Jgoq9lTDMzQY8YhOlggKGWmeAOEFFKTeAA9POZsmzOnP9eevMH+e2T32Zf73YcW7+fttPRs51UYhzJzHU19+uVTAqi+h47AUhS0gC8cH4Kr9lQqQcpJGv3b6DkFTEUn1gKvHL/RlzDAAd97yq3SY6nkUDyK9lwNVvVQAWGoS6a9xPPd6BktI9qq6ZLChFEYKUaqAihmNZcx/N79/Cjpx/jppde4M1/vIHmbJbZre2MrqtBoSj7Hq5fpuzrbvDx/gWz2kZzwcz5vGfRSdyxcQMFTx/jCePHYknB4zt3hucfkHfLrNy/NzoPkyEy/Y3KgR0BldG1DXzh1DN5eNtmXgw/Y+5DNB9ROS+YcXThzAU0ZWu4YeUT7Bvo4cdPP8SPVjzEjaue4uGt6zk42A9UApXRtY3sH+zjphefZP9AD7Na29nac4DvPXE3u/u6o6xJNUBJioYkj2dSYzPfXHoJq1at4vLLL6dYLI40NI7YEfsftb95upfv+7zvfe9j2bJlPP7442z9yq8wykbGlAp48cBeHtm2DlvajKptQAqLg0P9WNLisrkno0Qq7nyOznIUw+JUS6iwyFIyb+yxDJYGaM6lo+/wAiJwUmP7oca+LigviriJmd5WRJFDAwJME0OTZalxPPrLNvUpL2rU1jO0m1F1LWzY+zRLJy7Ew4moDeVwcdfF6jLqyQFxgWt/2WbPQJbGjOaAp6yArO1hSxUBJnNsInQqbKnY3NnNE5uXMaHtBFqbTmDPwXsoe3mQtUxsO5FRdc2UA0l9yiVXE5CydN+Vom/R71oMlq2KLu6ahpbMbJDgx8d/m14PUobAS4BSHg+8fC/NNQ285dg3YlkWvlJh/Y+OGPsohNB/W1JA1aIpla47yjl+6HRpQKEAO6SsGfBkqHqOUJECUEoqXtyzkl+t+ANLJi6kO98PwmbdgU28ZdH5EY89ECpS5jGWLGqtlh41xwdxZKGvOMC+vgN88/5vc8zYWXz+lKtJWZqzUU3tMgukGfvVheJGkWckgGL2Z3rvDGfVRbbmNT+Q2MKPHBkbPwIYI31eJRZXpWIKohL6GTDc8kDIaBut/hSbVJpjb7I/hvqVvB7muo/U3T55TarBScWxh9uYJ2skqljSVNWxtORy3Hb1NRWfESjG1DpkbIdt3XvoaNISor7SdBST7QAiJ9eYkbg17xkwUwizlFbiOTI9iqRQ0fOYVB4SMqYl6e/Xz5TtaOd8wNU6QykZzm8hkHJCwCQcRXfJpj7lU2MH9IZ9VCIJ4PDZMz1eLKF0I9aQLFUtC2/m3eiZQQOBunQNlx/7WV7c9QA3rfgRU9pmkS8P0JBtAmIqjBcIbBHSYACHpNIg0TGY65AcHYaGZaheyTEgEBHgMNc7UAIv8Fl7cAsv7nmZZ3e8gCUslm18krRl8ZZF51ZExKvHlLEAkEpUqCFWW/xcV9qrAa3oO9Tw9MdoPqlS/jKWbJ44vKJXZePH6s/GWZUQdOIjrYCTJ7bz7mMWsL13iE3dh7hq7lyuO3oWlrQAxZdPP4lP37+cd952U3SGD7/zo9SknOh8ACY2tjK9pY2r//AHfnHJxWzoPIglBA9s2craQ734SpFLpUhblXLFWjhHJtaQIDEf2HzwuJP5yTOPs7XnEJfMWgBVTUY1RTgBnNDr16WzF/L4js18cdntfOfcK6lLZ+kr5tnZ180DW9bSmR8kCBT9pSL16QxSClbs2sI9b/8kOSeFQDGleTQFt8y3HrubK+cvZVRNAw3Zmqrvr8rAJcZBe00N/zz/LL62+Qkuuugi/vznP1NTU8MR+y+aEvrn9djPEfvbVvfyPI93vOMdPPvss3zlmHNoq6lUSOgvFbh/00vs6O1kTvsETpk8m4ytJzeFnuA2dR/kjy+t4MK5pzBYLvPMzvUUPF0sV/R8JrVOY1T9aHb37kEKh9092xnbOI7FE48C4mickQM1C59RhTFXv79sRw6F0ekvhVkF0BSAoqcn0LxnU/IFOTugLVekNuWzesdydnRtZsnEo1m7fz2tte305PtwfZf545cytnFidE45O8AL9HcUfRn1IDGRQC/wKJZ2ML5pHL7SEqRuCKQa0i6O1Avw9q5dvLj7BWaMvQJEhpSlmN0yQFfR4eFNa0hJmDVmEcWwj8LkxqGoQ31zxo16xiT7ISilmydGsr/SqPHEXGbtDBleuXa2Bou93P3yPZw182TGNnRobn4YfTUUB2NS6Gt8z0t/4dSZF6GEHWWtQH+P6QjvqbgRmMlOpcM+D+YeGGpeSgb0lQp89Z5v8O6lV9A52Mm6g9u58uiL+OLd/8rPr/oSlrRQiEimOnnuJvodZUESY3U4tZ/fPL+Mx7e/zN8ddyEnjJ9EKoy0V4OTZMdp83pSbjje/ysDFJMdqRRKrbTheiskvyO535E+k6SNVKrxDNNnpCqKm3zPvGaiweY9OByUVEd+zfVKXpfkOZltqq/V4bScw88zeV4jmdk2QPLkrl38bvUatvf28ZajT2Vy+2w8Ucegp2mVBqQ0OF6oSqVCsCBJiYAAXWBfCnQjQiNRbGR2TfF6ztIAIxWKd1SbidYa0Q/zXHmhDK953aiLlX39Wn3Kpy1dpqesAydNKY8hTwcpkkXqhprmBrqg2vU1bczIoev7pPsoDZTtiuCFAc8GHAigv7Cf1TsfYeG4xYxtmhRt60gDaqjIxuqsU1yJYOa5lAzIhs9WOeFwmnM3x2+um1bNi2uelFL84LHfsblzN4vHz2F//yGacw30FIY4euw0Lph9fAgADrfqwEQyo/pKPVJgeMCTzKYmM6j62gUV28TfEb9v5gAzL5h9V1A0ZRBTMkUioymCqJ+KsZHobMr0TkHgB1bUQyX5GT0e9O9Hd+zmXbffxedOPoXL5yxixe7dzGwdzZ7+Xlbv301fqcBAqcRdG9cwtq6eA4MDzG5r5ZKZM1k0dgJKBdz44os8t2cvnz3xNOaMnhTO0zIcCwlqGlodUddU+fxoxaNs6jrE2PoGTp08nenNbYyuq9drZyJ4MVy2ak9fN79e+SRvmn8s01tGDTMCoOhpOlZfsUhTtiYEaNoCJejOD/Lsnu1s7zlE2na4esGJOJZVAVKG6/1kPp8vl/jCI7dRM2ksd9555/9qJan/ihl1r65/O+F1U/dq+eCT/+vVvf5mQUq5XObaa69lw4YN/J/5ZzGqRjeFenT7JsY3NLPu0F62dB/kgpkLmdzUdphcqUJHQFwlybs+f1zzFI3ZRuZ2zANZE0p9Cp7c8hhFt8i09tkUXJe6TDMttU1RlN0LRMTbrnH0AmgmaVODYophCyEoMYpXXqCpZGabZDZhyLVJW7pOoyntISiRljZCCLoLAxRcRWtNPVu79rL24AGWTl4ayRqXw+ZpntIgqexL+gplBodWcKBvFz5pmmtaOdS/E8fKMLZ5OjNGz4soDY4VoAKfe9b8mfHtF2I7rWRtn3mtA/QUHYZci0fW3cisjhMY0ziFUrmX/vweBord5F2PjoYOxjVPBWQYUSdycAwYMQ5R1g4QqoAlBJaVDqP5OnMhw22KboGbnr+daxZdTC6VxQtkKG4Q86/NdTPLRDkQ3L7qNs6Zd0XUDA80gDGNNw03XAotuZyxgsgRNTUoDY6nM1llh/6yxaMbbqezfzefOv3t/MOd/8ql88+iqaaNnz5+Az+64h8AopomkxkDvQhmTL1N2C+h0sGNHRMji43SHePTlhkX1ZLClY5I9fswMjhJvp90TmBkB7sabMDwICXp6FRvb/6vkBROgJHDG8ElwcjhYAVIgJnKz5r3kou5joUPL8s63DkNd/zmO0YCKK9kuh9T5bZX/eFWXjxwAAE4loXr+0xuGsXfnfQ2spl2hjxJWirqQ5BSY/nU2WVA979ICZ99pZwG0WEPIyOnnbUC6mw3Uv7Tr/nEHekPp0aZQn1zncvheCwHMqJJmUyzryAX1p+AzoDk7CBqRmnq6FQ457qBoLdkU+PoTu8l09xR6T5Fpo5PCBVRQ4GoPs7Iq1dy/FU0r5h5NBOqAA5HHwUieXFbBHhKhrRgFa0Nru/x+LZVdOf78HyXAEnGErTW1NGWa6SlphFHSvYP9vLc7g08u2s9/3Lhe2nM5Hj7Ld/hE6e8iW8vv4l3LDqPU6cuCMdIpVU//9WWBCrDgRRz7jBy4KKa7ln9mejZrwpURN+feL0CwMiggralt4/fEyKIpIhfCagY+lh1Z/rqoMXfP7gc11c0ZmsoeoJb1ryAAmpSKY4aPZZRNTWA4tRJE7ln0yYaMhnOmz6XZ3Zvp+i5vHXhMTRmazg0mOdbTyznn844l5Rl4ymrYo7QgNyixi5TcH1++PTDnDJpNsd0TEApjyd27mL1/l3UOIL9A90sHTeJc6bNASEj0BKvR1rps+gFfPzum/je+VeRslMVc8twmdk4y1MZcFEINnXu5/Z1z9GSq2fhmImUfZeWbC3TW0dH97lael2gKHouX3jkL6j2Ju655x6am+P+LEfstVkEUn74OoKUDx8BKX+TdK9yucwb3/hG9uzZwyOPPML6f/gOnUMD/OqFJ5jb3sG3HruLS2cfzUePPxPQsoxJFSAwUUGhOc/S5oK5Z0bKXgVfRyMD4Pgpp0Rdmo38p68UaSdgVMal4EtdPOrHrkcUPZQioailu7krBEOupjIElqIuFUcagUgFLGPHRaxZK0AILRFcDCCbaqA+o6eyMuM50PsoBwcm4gUudel6culGPCUpuoKuwR1sPfgsAsGiCQtobzqVKU15mtMee4eOB2DZ2ls41LceKXOMbpyOH5TYfmgVrU2n0JBtwrFcGtIuB/MpzStXcMyUt7LtwBNs2PccrTUNjKofzdimSRT9DDu7trC18z5OnXluBFDcyLnQgK3e8SiWO1m++WnKfomiW2Bm+zSkCEhJh2MmzMfzfVbuXsnGg9t501Fn0ZRJUwoMFUZPwHbCOQGirIcXeEhRCf5MdDUIr3MQaIqXqUOJIv1oJZ+c7VMONFXOElAu72fF1if4wtnv4bmdq1AI5o89mq3de0PloJiKIYVersx4ME5RtUNf3Q9BhM5FSpiMy6uDk+EckeFqLfT1qaRsVAOUkazacSF5vsOAk+qsSrIBXHSRgCB0ZIRQkfxSBJKUaVwmQipMCKJE/L65HgFgYRSKKt/Tv1Xi+X+F8xwGkAxnr1SzM9x25rpXX2chFNcdvZDPLXuYma2jaa9tJOukuWPdC/yfe77LdYvP5sxpx1HGISUCBn2bId+KaCuDnkOt7dLslDRtxRb0uTYt6bLOUviSgm/Rli7hCD+iJyFCSpeQ0SKhVNw3KnnsNgGBkuEzFqoTSp+s5Yfd2fVc2uh4pMNsQymwYnW88JkvhnNlOlfGEtDvWuSsgCDM+uq5T0v1mnoP0yTXABHCuhal4n5IsYKhikCRCSKpMOMRiHiO1YX7YUZGxg6gr2JK3V3rH+WBjc+xYMxkUrbD7t6DvLh/B+019QQqoL9YIEAxqraB0XVNfPmsNzKmxsEPXPqLQzSkbfqLQ/zgiT9y+9rH+P5F70OKSihSCVLivw3YfrXGocOOtypnt1rd63CKmaiQJEZR0cDRvC6I1b/Mc6gQ0XNWnT3RND8NVIaleQqFCIU6CMLjkkT/B1XXqq9Y4oGt21kwahTjG+r5/Ckncc7UybRkc9y9aTOz2tqZ2tzM9p4+bswPsaW7i8+fcjpz28fSme/l1ytfwAsg5zg0Z7N8cdl9/P2p55NzYvpbSnpIZZGSumZs0HXpKxYYVdsQNsNVnDNlLOdMGcumrm42dnXi2Fm+9ugD1KUdrphzDG21zRV0cz0eA6a3tFcAlOrMbhKsmG3S0sdTVgL4KGa0juLTJ19AXzHPyn07cSyLlw7s4s4NK2mvqWN0XSPzR3Uwpra+gpqWsR2+evol/LB7E2eeeSYPPfQQTU1Nr3VYHbGkKUZW5vhr93PE/vYyKZ7ncc0117BlyxaWLVvG2s9+i/s3v8y6Q/t4x9En0pDJMlguUpvKHPbZQMUc1LKywoi8pBBo1S7Dsy4FUtOD0AtaOiwCd0RcmGZ6kDhSRVFzM9G4QRxJN9kWAz5M/UjWCij4Mko3V09eZt9AGF3Xr+tC+QAvpDqVAsmj2w9xqO9lykGGYnkIkZ5GqbQHt9xJe/0kFk1cQF3aYd9gJsrapKwg6gwdIEhbPiIYYFvXZvKuTWvDItpyrpYfltrdNrU1biAieljG9qlN+brnSCCiepKnt9zHuOZpZFO1NGSbsaRN39BB9vRuoVw+SNkrUp+p5aQpx9GYrcMPfF7cs4YV25/j6HFz2d69k7Rlc9zEhcxom4CnYmfInLu5TraMI/MBOppb9H2WrX+QoVKBbCrHKTPOwpY2QhA5RaAjrpoCo6+8JVRck6L0eNC1PoqfLv8Rs9vHcuWCM/nsXT/gtGlLqc3Uk7Zz/P65P/GTN/5D5BjE6kGV0VxHhGpi4ZiMwYKqiJbqMREXwJttgGHBibFqetcrOdNxBqZScjSZSUk61cnIavK1kTInBpwMl5WopG4dHnEdKauS7Hyd3E+8r8OzKklLOgfVmZSRwFfFNauidA0HOl6rJY9t1f79LN+xi+tXruaaBcdRk2nh31fcRdbRNXQfPfECxjdNJGtpue4BLxU9y8XAohyYignt0KTD7K7JXtbbZWrtcsU8U/CdMDBjVQH9xLMUaDAUZRgS2eEIQCbAZCrsEzXoWfS7Nrt6dlKfspnU1BY9D6YYvhg+w0OeFu9oTPnYUoW1gCKq86umjJo5xhSbJzOzRoTDBJTsKGMSZySMwplA1xpKEdO5gqDE/Rue5eZVD/H509/IqNpaegtDrDmwi9+sfLTi/l0xdxEfWHIGjmVF46qvWOTi336XG6/+LHetf45Jje1845GbWDJ+Bps69zK9tYPzZixiyfgZVeMmBiUjNldNZFKqn/nqsZsU6KimfI0UzLCkcaxj8YrqbV8pm2IyKfq9ahnjMEsSyIrvNeOtmv5ltjPPeRDApu4extTWUZtKVWRKZ/7wpwAsHDWKDV1dXDJzDu9fchI1qWz0TFgioOCVGCz73PzSKtYc3E9brpYPHHcqLblajFJXEhQIFH0lnx89/RAzW0dx7vR5ZG0N6eN5XpKSPj1Fj688cispy2F2+wSmNLUzWBqiu9BPR10jy7au55/OuBgpDCCu7O+UvJfDWXy+lXOYAfAlL2CoXGTvQC9rD+5mV183R4+ZwBlT51R8jxf4/OuhDezfv58HHnjgf3UE/6+1KJPyg9cxk/KRI5mUvymQ4vs+73jHO1i5ciXfOuYMGjM5nt61lRW7t/GR488aNt2ZNDM5+EqDg0JgU/C1tn4plBt2lVbaakj5UZdnQVykahxHX0kcEeATc7Xj/SccaBEXtwIhRSKkUQQyoiIlnVopdG2EWZCMY25qOtyEk9Dv6vqVgwO93Ld2GZ0Du5jacQmj6ifRXldDfdqlPuWFEsF6wW9I+eQ9ye6BDCXPwpYBtSmPrB1Q8gUDZYdACVqyJcq+pCHthfmnWD4TYgpXpOaDXmwHXYtyeYAN+1/EV4refBd+4NJa28b0tslMbG6mxrYjZ0MI6Mt3c8ea+3jTUefRVlNDKqSc+GEGy1yfgl8ZYbOqFruAmJNPeC13dB/g2R3Pcf68i8jYWmjADiOzfhRhJIreWoIwoyZDqVTFsvUPs2L7M3zlvA/xHy/cyc6+TkqeR748RFe+l/p0LT95499H99YNKguRjSKXk3AGKxyECuAROyGWCKreO5y6MVzthNlvss6i+rkwBfVJkDKczOhI9SfV1JDhwMmrOe2V1Cx5GFCJtkkAlfhevzb6V/V5VUQtXyNIeS10rmFBzSuc/2F1M0qwYvc+vrfiaQIlOWnSXB7Y/BL7B7op+R5z2zuY0dKOpyyKvkXyzjtC9y0RGCfepJNimqUTOo5mPJl6i1hsIK7V85SI/geBj9CZqui18HkPs1z6+IkCBsVA17Fs7dzKmPpW3n/CG/HDnI2pKdFgJp4PFZU0ulJY92ICPOY4zVhOzkXRvRNUKgYa6qjQ9NEkaMmEtT6mni0lPf7xnp8SBD5TW0azcu9W8uUSDdlahspFxtY3sahjEtt6DvLkzk0A/OjCN3PUmPHRPVy+bQPffOwebrnmUwghKCuLXT0HeHLnOtprm9jT18UfXnqMX17xEcbUNVRkTV4ty2dMJueQYQCK3mb4916pLqW6BsWAkai+rQqkCKGwpB9lSZNARcogAioGhFTTvpLzRSQF7NsRUEluWz0XdOULPLx9F6sPHMSWkhtX62a61192NfNHdUSyysn50g9VySwRUPYV+/r7uHvzOgZKGrwfPWYcZ0+diqcs3MCqAP1rD+7jjg0vMrGxjfNnLGDFrg3s6uvl9Cmzac+lybtl3nnrDdz+5g+wqbuXdZ0HGd/QTFsux57+Tn741AO01TTyrfPeQlp6FSByuPurx+XhARZzL3wVK38OB1oAvvvEvXzk+LOxpawAQ0XP4x8fvh173CjuvffeI8X0r9EikPK9E18/kPKxJ/7Xg5S/GbqXUor3ve99PPPMM3zn2LPJ2A7fe/JBprW08bHjTyepyT7SQ15tllBkpI8UevIq+XphTFu6yDRrxX0CDKc7rjfR+7BFQFlZ0aKQkgFWwsmxwui5ryTFQJKSCk9pR9oAlCCx0NtCRZK6Cu3cpggo+FZ0PulQUrnkKZ7cvJw9/T04VooTZ1zGik1/0nU16IhYyZP0KZuMrTMnbVk3yuy0ZMv0lRxKoTyyG0iGynYUKfWVIOf4cQ1N6LBnLL34GFCVslQEtIqeroPJpOpYOOHE6DoIiOQ6M5YfKQ0FCPb17ebhTU/yjmMvoTblhKAkzpz4SgO6yCEJr1Uy+huEzo2EyPkwNrF5FC/vtXG9PrJ2fZQ1QXkcGtjPnp5dHD1uLo5dExZLCvK+7nwtBGw7tJF71z7A5866Dj/weGTrSma2TaFMmX+5+KOU3QLdhcHQaVPhYqIqAJSgktr1SnzzwxyJYQDKq0X9I/njpKNdtY0gBhkRHSoRTU+Ck+rvGi57Em9/eFFttVU4KorocxVZnGHoXdX0r+T25tobRSep4qh0sg7mtTiDrwRQXg14vVbKWDVwtGTAiRNGsWDU+XzhoUf55XPLyDppBsolzps+i2VbN/G1sy9HWvXkfYchX887zU6JAEFGeiGQdzQfnjjTYGpPGpxSJMCQdHKSPTR8JSiGcqwmIGOsEFgVx6zC/fS7TlTLkrN8el1bC4cAh/p385vn7sYSEiEEU1vGsmDsHNJ2KpzvNC1NC9cVqE/ZCDTQP1jUARMDOMq+fsr09YsL6o0aoQl6mO3NkRr5cT+cc4Ukool5YXDpqe0vsaVrL/NHTeD5PZt55+JzOXnyfAIkBbfEx/7yI3qLeb5+zhvxA4+C69KQycTZKaX4/lMPcuqkmdhSB0AcETCpuZ2JTe0AlHyfP7z0GO/84/f54hlXceLEmf+p8VOt0lWdQUlaMqBhHG/TjR5FVRf6w7/bfOaV7JWeCf2e5iUkx2Py73iu8DRFLHyWDVgxz7r5nm8/+TR3bNjCm+YtoLdYZG5bG9t6e/FDhct4jOo9mQySaaSYsgTjG5t496KToufwu08+xNlTp+KG2UOjGClQzG0fzZz2MfzjA7dxYLAbKSRvmn8cj2xdx2B5iJX7dvLlM95AjQOz29qY0dqOH8BvVz/OQDHPJbPns7uvF4siCoc+N0XOcklJP5rTV+7bxZ7+Xk6aOJXGTC7ObCayKJX1JmYsqMNeA7hg5kK+9+T9fOi408ml0tHrGdvmq6dfxGeW/ZlLLrmEO+64g2w2+4r394jFZhQTX4/9HLG/EZCilOITn/gEy5Yt43vHn0t7TY5tvd1MbGzmstnzwsW20qEyC1tyAa5UgFI4BFiWQgSasuVILRssgRrbJy19nCpHyziWllBRQzPT38A4zYa6YyxAgIojIb7SkY1YWldHOnXNRJDgWMeZAi2BrCkJaalrW/6w9mHmtU/h5OknUvIdDuQdajKtrNv7OGObj8exU2RtH1u6obKXplMMuZK+sh32HwnwLR119v3KTFDJkyFlIgiLWol6MiSpTPF9Cq9rZckAAqJeJ9VOc75c4N51j3DlUW+gxrHZcHAbL+/fyrmzTyJlZ6PvSRbem2udXI/jDASa0xxmnAy9w/VKZG0Hzy+yq2c3q3evJmU5WNLi0OAhTpy8KAKNGhBpsPD01ke59+V7eNviC5nZNoGHNz+DH/js6NnNN89/PzW2RdaupSFbi+kkTfidyeOLaz9eHaBUF8DGfw8PUEayV3QciPsVSHH4s5N83Ww/XCQ1+T3V4CQZOEhakqde4aigDgMqEIIRIWOgoeI6FPNehaTxKwCV+BiGD2BUZ3+q6W6vZiM5mMl7lYzQDrd9Xdrme+edwV0bJ/Gxex8gbdk8un0rZd/nyR3rOX3aYkSgx1iN5ZGzypQCm5SMVfMUYbRViKgWpc9NUwy3s4SeZ6RQDHkpIGzmSSjfnQBQfggWfSQ5EVNPDfBxw/tVa/vsK9ihKIV2gm2hmN4yhjltF4c1gD67e3Zyx0sP4CsfpSSeCrClQ8ktkHVsIOCkyQuZ3DIRgO6SjVEAfKXrbgkV0fANHfew7cJn09TG6Qi7wA98/mP1MgCasnX8wxnXknVyADhCsebQdobKBd61+Ay9f2nRkLEq7qsQgjntY3h2zzaUMs+uwtIDQK9JtuRzp19JX2GQHz51F7PbRtNWUz/sk/xKIbbhxs1ric4nActwlgQvr3gACasWkTCvJV83QEUIUfHsVWdVpAxQSs8dQWCBJCqqTwYtPnH8YpZv301fqcTpk2fwqRNPoyaVjWiJw52fmU/NylGReUWQslPs6h8g5TSTthSWlBXbAWQchyvmLGJMva49uWr+YgSKfQM9/NvTyyj7LovHTuZHTz+GGwQs6pjAWUcvYV3nfkbnMnz/yXvI2GmkTNOYyTKxqYOcY3Pry0+RkroZ5M7eLgqex+jaWi6fczQ1qVR4/HE2OXmPzXOh34sL92e0jOLUSTP51uP38cXTL64YHznH5l/OupCP3n87V155JbfddhuO47y2G37EjtjraH8TIOWb3/wmN998M/922kWMqdMqHh21Of7Yc5CvLr+Hfzz13MM+E0cZiOhCSbpIFLEOaVsZGYDtYQkLTwmy0g9rB6oj4maSF6iwsKFaGjZJmzAUMFPYq4EMoZRofIzmmOPMAIlMgsD1PTK2FTVUe2zHWurSWY4eM4Fi4NFZktSlJEunnsPaA3t5csPPOGH2h0mrWBnHDiNJttQ9CkxXddDyxzrDEiAiCoVePDJWgAzlPI37qMKQpZRUFb4CqNBJ0vuJGsjJwx0HKQKac/W8sOsluoZ6mNY6nuMnHcWNz93FW499o+68TRwJheGdRQNQBHHfExKUnyltk3h443IARtW3cuVRF3Fo6BAPbniMdx//JqS0KPimozEEQZFbX/gDWzq38pU3vJ0Fozo4WAq4f8PT5JwMC8dMZVxDA77S/R+S7nj1OeqMRZwBSjZ5NGMmSemKx5K5Rn8dGEkC5Grn2LwWAQ4R00zM+8OBoIjeEQKb5PeOBE5GAgVJ5Z9kJLUaqCSzH9WR1P8sUBnpmg1nrwZQXnORPYePh9di50ydyPj6ev7u2FPZ2dfPz59bzksHdvOGGUcj0fNOznJD+VQP0Jldy1KUAwsIsMLXjMRqybfAjmudkhF5PW5NJtCPOPfRyFWaCkno6AXh3Iav1etMbUo5iIGOHdbQOVIhFVhCMqV1ElNaJwGmFkTh+WVqHYktoehqZa3lm59jQcd0pow6CoRF3pOkJNF8AHHfnGQGxYooX8nxGwMUI0Os5ydNgX1g/RMcGOimKVPDu4+7sGJ8AsxuG4MtLTYc2sGJE6YNm7GQQjG2rpEnd27lypu+iy115mioXMKSkmM6JjG+oYXfrnqCK+cdx/Hjp/KtR2/nX89/c4XDPJwNlzUZzqpByEiAZaQMbPIzARIL/7D3k6YFFfxhgUq0v8OyJdoMDQz0GiJllby59BFKBxFNUb3Jqoyuy/Gby87jxtXr+d6K5ezu62PpuAl88LiTmNk6asTraOaGarU/gWKoXOIHKx5lsOzTkqshY1v4gSKbymoKo1fGkjZX3/Lv3POOL5C2gggUWVYND2/bwpmTp/K71U9z7NgOzpk6KwqOLhg1hiUdLXQX80xoaGLJ2El0Fnye2nOA7X1F/m7JeUyoz7C5azd/WLOSdxy1GCHgO088yPsWH09HfQNWCHSN35E8B/Mse+j+MoGCFbu38uyebSwdPwU/8LEsGWfMUdQ4Dt8561I+dO8fePe7383111+PEMNftyOWsEDon9djP0fs/32Q8utf/5pvfOMb/NtZlzChoR7C1G192uIjxx3Hz194DksEbO3u4oGtG1l36CDnTJ2BJS2mNrcwoVFrk1dTG4wZpzZreaQtnanwwmK4anCSBCB6cfXDgjtt1TQzs5DL8LOOpSkYVmLSNpb839RWDHqaevXwpmfZ1r2TlGWTtmyKvkdrbQdnzziRYhBEC31T2tMdj92J7O5s1ZK3Ya+EIVensG3pkrZ0H5O0FTaCLMc9WlIhaPEDQcoIBliVxyuAjA0mV1IOzylKsIfZISfMFuiIrSloraRo1aezXHvM+VGxaxBmMia1TGTtwZ1MaJkSOkbVjl5yIU4ClDBaFoTZpzADc8y4+Rwzbn7orMDO3r08tfVprll0GZa0o2J8TwmK5UF++fhPqUun+dHF76Etl8MSAat2v0xfMc/fnfhWfvr4b3C9MraVrljGLaGwiDtrJ6lpldmHyjFVeW6VGZTk6+a6WcMAgYp9VGVCkp83YGOk95P7iOtbKnnow+1zuILZ5L6MJZu7mayKqnomDc+9mv711wAVSL4fH0s1YHk1q6a9HfY+cfTyr9nfSL6m2ZdjWVw+ezoPbnmZz536Rn7+3HICFYTjXEelU9LDFj5W6DAZGVQRwwxl7wABAABJREFUhsKNU5MMGBjwYWgtdlUxtQ6sSEy/IQjrWQIrrBHTYMYCJBIldRPb7rKDJRRZS4VUMw0MSoHEV6YGRCsemvvkyIBa20O3rwrnMtvhrBmLOWv6Mby4dzN3rP4j4xpHM3vsSSjhRItaMhClEpnLqLt7IuhjMpghxoq2CRTs7z/ELavuAWBcYxs3vvAAaTvF6LomLp6tpd0zqTquW3QaP3jyAXoKQ0xsaOaoMeMSYyDgl88/yTULFnPhzDmUfQ+lPPxAkUtl2T/Qx8fvvQ2AkyZO47k9W/jEiefzxWV/whJBtC6Z7L8+rypgXTVgRhqP1XVqI47b6NoMv+1rldV+JTssoCF9nSEJTVNnBCrskVINVERYLyeUkbHWFDChFHPaGvj6WcfhK4s9/Xl+s3oN1/35Pzh32kw+ccKp1KbShwVmTCCkOk1kiYDOfD//cMq5NGZyOlgVBHxh2R30lQPOm3kiSsBzu9bx4ROuoNPNkvZjpkU6Vc+XTr+IpqzDRTNnR/UvAhU2L9bP2Ji6WpqzGXIpmw47zUUzpjPgpTXF0veZ0jyOvz+5ld+uXoEQkvcfexw3vbSSRR0dnD55GrZQWt1SKWxpaGlSzwdSga//PzTUzy1rnmH1vt24gc/Kvdv4wmnnh2NDP8O+ktSlUnznrEt53x3/wd///d/zzW9+8798z//mTQmONHN8/ez/aZBy55138qEPfYi77rqL+v+4AxOvtkSAH5R53523MaWxmctvvp59A/2cNHESs9tauXH1c2zq7uLqeUfzkeNHHQZKkh2oDU/VDheHlB07WZVOcOwgmixM8nVjh30XOnKX3M5EX5L67NHChMAiwEcigbvXP0vKcnjz4iu1JK7n0lkSWFYOKVwUumeBUR2TQpESe5EUdMQwdPxrUz5519JdoqXpaRBStqSiIe1GlKySL8NGk7oIPiWDCKiUfKMOZhwaUyOjgVsmLDz3Ek6RQC86jtDOixCJRQjFhoPbWLn75fCagKeg4PpMH32MjpyFxeMGKJloaTUPO+ksGmeEcFJOdol2fZflGx/lbcdeji8c3EA3qHMDicDjpmd+w9j6Zj5/+mWkLRkBgoc2raCn0M+vV9xM2XcZKhdozKWwzBhJgJN4GU5mUMLjFGARCyMcXm9SGRE175lFLy4SfpUMyzCgYyTVHqgEyklwYv43AGW4DEtS2afaqqlV1aCk+lyMI6GzIcPXqfjhFTbXy1cCSRDVryT3bzIq8T6GvVwVNlxPmOEsuoYjII4keIloXq+yOCUpZ2dPncAvXniRjpo8y9/5LnKpGkphjVhWeqSkT31qCC+wKfopVGAAhgIFZWVR9i0y0qPOLuMrQd5PgQ/FwKLWcslYXpQFcaQfgRcz1qQwBfcBMhFpNWA5awWkpM+QZ0XPvVJgh8DJzImmtg1i5cQGx9X1Z+F1KvhWpLRlCYsFY2ewYOwM1h3Yzu2rbmLp1NMY2zg+cjOj+gYIHTgTsTf3UW+j69Di+cEETWwB+VIP9ekcZ047hsnNozltynxsGfDzp+8lCMpImUIIxYUzj+LeDSv51mMa0Fw6+yjaa+oRKE6YMIlfPP+E7olx/PERyDYAoC2X5qQJU5jROoor5h7Du267kQ/feQMpy45pYeFaFM9hcbBLH/PIIHm4/18t0zfc856015JJkSHAqsjYvkpWRUo/VPqywmCFjP6Hw4GKZXmxmEZgIaTCV7ECmIXPuIYsnzt5CW9ZMJd/ePBRrv7DjfzTGW/gmDET9DGqSpqZoV0bVS8pFHWpDEOeRROKcmBTCtK8dcmVPLVjDTeuegQvULz5uGtYv+9lfvb03TgSJtbVMb6xkR3d++grdNFfzLOtp5M3zl1A2rbDNSEGnRPqm9ja0838UYJyoN2zBqdIoLTKXt5PUWvDuxedyLaeg/zsuRV8+sTT+M6Tj/DAlo2cMH4C333qCfxA8c2zz2bB6A5qHK1k6ivJM7s388WH7qW3WOD86TNxA33/zps+maxVDp81fd5eOIeOrsny/XMu5n2/+hWjR4/m4x//+Cve8yN2xF5P+39W3eupp57inHPO4frrr2fqsscBwoyEz67+fr71+GOs2r+Py2fP4ajRozlu3HhqUikCJbhx1Sp+/sIz3HTlu2jM1mCaNEFVliMBVMxkZaKIZtI1C35y4q9WDvGr9p00J3TqHBlUKHJAHOVT6M63npIItMqMQnDTSy+QdbKcPX0h+4uZcH+VC5lxLgq+LtfvyQ/y5xfv5sy5V9Lv1jJYdnADQV3KozVbJmdrZ7Lg6WPO2noKdYMw8inBDWtTTPPJprSLYykGyhZDrkVdyqc+5Veci4IwHa2PJyUTNReJy5KkZbjeEH9+8X4mN3dwwqSFpGwtiZr3LAq+DOllKpJANoDHAI5k9iUZVfUT90ffQ0P104IHf1p9FydMOZZxDe3ozvJaZrgv381Nz/4WlMd3zn87OcfBNmoqQcAbrv8aALPbJ1CTyvDFM9+sv5PK2oqkVdY3aMD61wKUkf5+JZqXFXaFJnFskgBLHi4JXH3cSbWvZAZoOMUuKSvpX6+l7mOkxm7DvReP88r3q7tT+yrOoryS6lfyGA67fonrmhQFMO9F12SkFIh5/zU4h8njqvgsKnLSJAElz2fOv93A3W95B2Pra3EDi95yjkE/RWsqT3O6Hzt0+obcLKXAic61FNgUfAdXSbxA9znR4h0BtZYbzjeKbFjAayhgZm400eB4foNkEX1yDs37Dv2eTSmwou70ZlyZBpCga/1SMiDvWxGoUFX3w1BczbNv5sntXTu5b/1jdDSM5ezZpyOEOIz2ZT6frOXT9K+4t4eZo2oSwiiuEjy7exMpKTh23BQsoXhh90Z85XPc+FkIdG+Yvf09XHfrzyn5XsV9O2/6HDZ2HWRXXy8XzZzN504+JeoKbu6HUZwLlMQLYEt3F7XpLG019dE21ePCzPUmoHV4NqVq7CTmE/Oa2edwr0dAIJFNGy5AYWrqzNyQBBLmtWQ21fyuBhwQP7MGdJjfBnQklcFGqnUxnzOZlaQioB/AjavX8e0nn+adRy3mvYuPqxi3Rma4mvnwwr49PLBlC5a0uHDOqTx/qMiW/SvZ0LmbyS1TOHXGGYytgdZUiR43RUp4PLf9GdZ3d3PpzLnMbG3hq4/czvHjJ7Dm4D7G1NZx0czZNGdr+NPa1Wzv7WVTVxcfWLKERR1jyXtp+txMSNssI4Wi4Kfo99JkpEejk2dnbye3r1/DbevXcdqkycxubeXmNS9xzfzZ/Oz5VXTmC3TU1VGXSnHs2HE8sm0bM1pb+KfTT2JUTZbn9+3nG4+toK0mx/fPuzC8XrIim5ySHr6SrNrfyQcfuIOf/vSnXHvttRyxSjPqXoe+dfLrpu7V9pnHjqh7/U8fwH/GNm/ezMUXX8w3vvENpi97DEsGdOWH+O5TT/LQtm0MlsucP30ad7/5zTRmMwyVPdZ3duH6Pus6O/nJc0/zowuupCmbi6Z0E6UaKOV56cBeWnP1zGprj6gOZhLzlS4gJfpcMhWvI/oeEkEcQYq53fE5mEnQ7N/0Q0lasreKCuNmZWVRKLvcumYF2Uw7iyYu5FBJUG97+Jhu9RzWF6HG9in6knvX3stVR19EJiWpLZc5IHRne8d0Ow/7ttQ6QeTcW0KRs022AlxbRMdb6/hR1LI144XgJO5Togvl9VV2QlBhalOqHdEACAKXrV3b2XBgC0U3z0VzT6O1pj4EakSRUC0FbBbQeP9G0jnJLY5qUMJrqh0b3fXaLOsmRX7nyw8wd/Q0xjW0IxLHuH7fi9z83C2cNHk+7z/ubHK2FWVQAB7dvo6zpy3k75acgxA2vooXec0C1ucXL/DayoEM0/362sQ9D0YGKNUR0GqAEn1vGCFMWjJLIonpUYbeJUNnYyQwNVJR/HC1KMnsSfI1fe+Hb+KW/L6R6lQqtqOSShUdD2E0Vphoqs4+QiUtLKZ3VDp0IxFZDEAx9mqUuOrPvhZLZhGH4+onvz/jSCY21rOt91AIUmykUNRaZQq+Q2exgVHZHsqBoxUEfVvLoxvnkFjZS49BPTazlks5sCgHcY8Pk62L/w4zE+gal6SoQ3VX65zl0u2mCBSM+v/YO+9wOYor7f+qunvSzUnSVc45IwkRJJFzxjYGGwdwwl57ndesjcOyzrtenO11Itg4gAPBYKIAAQqgLIGEcs7SzRO6u+r7o7p7eubOleT9vLtem3qe+9yZns5dVX3ec97znmSerDJ1UnwMMLGEptOzyfkykghP2EbpsCekmka1XUykxdWSlGXkWqttjxkDWpk24E08vXk5T736Ry4Ydzq1qZroPHQwP+Z8I6uejtU7KkbQNZY051xtuwi08SxraOs+yoR+Q5GYeXBK6yi++fzvmdk6nOqEjcSlJZPiJ9fcxFNb1vPQhlUc7ummykmw9eghPjP/XH6xZhULt23mH0+dTVMmE52bJTRaCCxAaYUUknHNTcG9LAoWlCqnmWWh0+xkE+MrRVAiemgZODH9TUcUYysG0CPnRmzdsDZQCT25LJJS3ipFa4TQJhk+oH+F0RWtBa7vYEfjonSOCc9LBlRepSwTbY2AtMQSkptmjGPu4AFc8+sHmD9sOBP79YucGQB55aC0oRuG92Zm6yBmtA7mya2b+NyT9zK0cRTXTpzEP8yaRHMmjauOkVc2BWUxNN3Jka4D/Grt8+xsb2fL4e0sGDaSg91dnDl0FFeOH8/OtiM8uGE9ezo6OJzt4WOnn8HRbA+/fWU9LVXVDKppoDFRzAtTWmALnwYni6skRwtVjGz0GdXYxKiGBj562mmsPrCPgvK5eeZk3nXKJI70ZPnl2g18Y/Fyrhg/khumTuKbS5bxH4uXMntgf/Z2dnHl+FH8YcNmEpaLryRCWiXPIVTxm9naxL+ddTbvfve7GTRoEAsWLOjzmf5dN/063esv2f7PgZQjR45wySWX8Pa3v50PfOADrHn/P/DrdWu5Y/ESzhw6mDuvupRRjY0kLeMxXLh9Ox965FFqkyksKci6Lt+/9ComD2jBVZpD3T28uGs7rx05gK80NckUU/sP4vFNK0lak5nU0hKFfUODF4qev3i0JXxJhEnOfmxeDnnacepWWHnWCySKSyMPIorwHMoWWLl/L68c3MvRbJYaRzN/xGQGNgzHVGD3cbUpMhkq5yhdpEw0JFyk0BzJO7hU8+C6p2iubqI63Z/G6sG0ZKqpso2y1+GcQ7XjczRn8jBSlqLaCfMTjCGTEjoSA3CkimhaWkPSKtIrTNRHEdYbMUUhVXQP1+zdQMpJMbxxMG3ZLhZuWkzB9xjdMpKLJsyjKZ0Mir8ZgyhetC3crwi8qQYMEhVDLK+PkgsiUQlp8mxcBHnP44VtK9jdtpeEZdGR62H2sJlMGTgu8vZ2FHweW/8Ay7av4h/PuIyzRkwIIjRFQ3HD4YN89bkH6F/dQNJOYVtGZlmFxi86kPEsTjrdvk2V5ZG0/CIwKQMhJ/TIxwBMsY8ZikVI2atkbPeKdgSRm3hNlLCqdHmTsugxLTcqzH/Va91KKl59gY7SdYpARcciIcfLUTHXLItGjlYlQEVTKk8cN7ZCg93QyE4cDTle9OSENLDj/B6CR4kqp8ZX3LY26dCZN/NTyirgKose5VDn5LCEotPN4CmLrO9EKl9AVOsh/G4F1JoaO8+RQoZcUDxPeAmqLI9quxDUcNCEtaSK0up+BFjMvkJAI6N9D051G7AegKLGRIGsb5FXkpxvYQlNteNTbXnklMXhvBMV0QUoqLiUu6Yx6UZOiTDPSyM4c+RsunNt/GLFI7xz1kXUp6uBME9QRJ8LSiKkTzrIL7SEpjPfzb7OoyA0+7Tpv762WLzjFWw7xajGlijym7Hh5lln8ZknfsXq/TuRwqgnAUzqN4AH33ILBd+jM5/l0dfW87mFj2FLwa/e+Ab6VSUhRpVSFKPzYU6A0oGhHVO80qI0qbvoHAv6BqW0z/j7Kd5Hw99O1M+Lc1Oxv/vawsLvPQbKAHxfrRKNrNJcIqXqBVSUspAoA1SkhxB9gZViNXuTTC/Q2swHWpgxPrl/DTfPmMi/vfgMd151LUiJhcLWPo70UFqS8x0KsehjlV3gnBFjaXfT7O1WzO5fTcbOY4kCVXZxTpRC89Ar6+kq5Lll9kS+/9IrrD+4j+H1TexqP8ov125hT2c7jekqRjcNYLKt+fGKl7l6/Dj+5ewz+cHLK+nIu9w88zSU1S8oqGr6bZXlGlqytsj7DtdNHsWgmgQ/eHkJ+7u62NPRyYHuLgZWp2nJJGlIm/N/eONWLhw9ij9c/0buXLmaW59aVPJcetwsVU7KOHSUjOYgJaRRUNOCOYNHcscdd3D11Vfz4osvMn78+BM+79fb6+3/p/2fonvlcjnOP/98+vfvz29+8xvWfOCDfOjRh9nR1sbnFpzB/OFDzXqe4t9fXIbWmvteeZXPLjiXC0YbvfmCD1KaQdtdKPC155/k2kmzGN3UHyFs0pYbhN49/u2Fp3jjpBmMbGyJtNXDF4CnZWQIl3unyr27UBqqDw1tO2ZYlYfw88pmby7D7m6Lu5f+nNnDT2V8yyAa01U0JFyqLI9uP6xuazzyOd8USHMDkBJyvFvThUgK2BIKrRSHuo6wt/MYL+54hUsmzCOdHsjGtgwTG3qiF1hPQHNKSE1SqoCvbgx9VwmqbR8hoMb2ousKgVl4vUX6WXhvQGuf3695gv41zVjSZtvRnSTtFGeNOZ26VA2ONHVojDFUNCrC4onldK4QqITFEMO8lJDvGxoknpaRLLRA8+irLzC0oZUZA4fjaUm3K5BSBhEWONRxgB8v/gVp2+YzZ1/FoNr6aNuw+Urx3gd+xoxBY1m0bR3XTj6di8fPRqLpzGfJJNLEFVF8LaLCeuVUt1DNKwSv5UpelQBMJZDiBIZkCQ8cEW0XGhMqMiANlSesEF3e4oZ8mHNSpGmoXkZznCtevjzKEYj+YvSgMs9RL2qXlr3W67VNbByVF3zzdZECUqTXVAZKccpVOf2tUt5Opes/0TKonHz850Zczrnz93zktLOZN2woed+h0zO1OartfOQEcZVFl5eg2i5gCUUhAC1ZZUdjTAKFwCvva1OnyeTimTmp1vaod7JkfYdOL8GAVHfUJ0MPdHzuC+lf8YgumDHQ4SXQWpC0/CiSE6kgBo/wYD5FteVxMJ+kx5fRk7WlpjqIviSkIhEUzRVoenw7AjEdPUd4dutKrp9uPL5hNEBrQVZZFJQ0ta4CR8/mwzt4fNNqpg4YFsQ0BUnp0+MnaEhnmNh/pJFbF37kYS94eT7z5O9Zunsb37vsWv712SdoyVRx+7mXo/G4Y/GzLNqxjbmDB3PthHGcO3IYyaAqeV/5ivE+HdIWi5H8GK2RIu0u6k99AOe++mp5X4o3Wd7vRW+6Y3xZOQ2yEg00BBAhZavoyAiOFT+PEtqXjChcvm+jtMQPhR2kV3ZMhWX1nsfK5x2tBR15n3k/eYDbFpzORaNHlzwDT9u4ygCBgrLwtaTazlNQNh35Al9+fiG3nzWX+mQSW/q05fLUJpM40idhu3i+yxt+80fmDx/AoNoEtz6xgmsnjuSFnfsZ19SfmQOH8M4ZU9nR1kbeK/Dsjp2s2r+H7196AUnb5khPni8tWszMgcPpLni8efKUYuFSREQVTzu5qM+M+uaPAFj67jcxoLoqurcHu3Is3r2PTz2xmI+eNofnduxn27FDXDZ2OAlbsGjHPl470saA6mouHzeat06dRNLORBF2V9nkfQcVzA/3NaT41a9+xZIlS+jXr1+f/ervqUV0r68uoDb1F6B75Txa/unZ1+le/9sncLJNKcU73/lOPM/jnnvuYf0HP8LO9qMs2rGTde+/iZRtE5rCD218jXvXruPq8ZO4dd45nD96IpbwTURESkJdre8sfZb3zp5HS1V9EDov5ocI4BNnnM2XFz3NrfMvinmdzDESZcacG3gdw+JLqmzOj4oTagFYEa867vFXGrK+AVBtXpKE1HR2beL80VM4Y/iIQAVH4WvYmU2Ttoo1UULj1hMCGYACKUyC+oFcgmrbp87x6AmATUttPwbXNzFr0DDuXP4UjVWNnDpyPrYwBr+rBNUxTxyYF0CNMMDEkSbBvc7xAgOkWNwqvN6whbxxPwBOW4/sprm6gTNGzgLg9BHTo/V9rUnGFKBCNa+Q7haCkaLRHsiqilCxxxTHjKhY2rxqHaHp9KwAbJkecKj7GBeOP4OCCo4hDB9doFi2/WXuXf4QV0yYzbtmzcORssRbb85N8KdNa8i6Ba6YfB5Dm0bx/Rd+yZr92yl4Li/tfo3vX/0R+tc0RAaYFAaYhAU9i/SuopJXKHDQVzuesRGnIpbQoGLGRXmLA5TjGdhhtMEYFpUT4UOuefj5eF7TchWvvo5bjKCUaqJVTMDVxeu2pE+8Sr2FHyl8CQRaiEgVKIpcBC2MvpwomlXpfI+3rC9P88kCk0rrdhVcGlIWtvRxlV1yzu1uOjIkw7y7MMrma0lBW3gBcM8FY8UWmiorKPwYGPNmfZPMqxF0+xaH8hlaU53B3Kno8hIIIGV5QQ6fIB7LM8DHgI2qAMAKdBQtinv+fST1TgEJNCULVPlh/ksxCm22D/qlhrwqrUvSr7qetmw3nueSsG0TPVUWGcsjIzRpGRaBVOxpO8iTm9fwkdMvBGFT0GaObnBydHtmTs6qoPiuVGQL3fzptdX8cu0yhtTV89Bb3slTW1+jynH4zyveyPK9O/nYYw9zxbixPP32G+hfXR09B01lwBDNmaL4jG0dvLe0ybOK5zyqKFJVFIwJ8ynC+9lX34knbIff+1o33Fe03xhA6WubOED5LzdRnMFCp0gYUQlpAiZ/xy6CIa1j0ZXK85NpZgd1KcmnzpzOV59fwrkjhpKwHDN/CI3QLlKEZQZMv8/YeZLaJSEdbj3jNL7w7PPMam3FkR5feu5phtXXcM2E0cwdPJpxzQO5bf483vvwI1w0ZiCr/+FSWqsz/GzFVv7p8eVYUvPl5zp535x5pJ0E19SMZvbAbdy2cCk3zZjJqMYavnLe2SzauZ/Fu3bx0xUv8KG5M9DaKrn/Oc9jya49ZD3FDy+/gE8+/ixJW2LHnEQDahJcPWEYUmi+v2w9NckUD91wKU1VZr74+OmTeWjjDr6xeB3/sfglvvHiMmYPGshtCy5iaF1N1FdC6tzlh122z53L5ZdfzsKFC8nEqIt/700r8/eX2M/r7f8QSPnCF77A0qVLWbJkCZs+diu2VOzv7GBgTTVpJ2T9G8NlZEM9lhB8at4ZaFIl0284sH+1dhXzh49mQHUtGk1YnK/4IhE4lkXKttl69CC7Oto5lu2h2y3QU8hz6bgpDKypi/arMZWcu/0EDU624ksofAErTaSQ40g/iqgkygCHFJrdRzZwzaRTqU/2kFM2Wd8KuOKCnG+TlDJQzDIGe0IqfG1qmmQsn3yg7OVIHdAqTGLssYKDI20aHcF7Zp/Dj19+itZULvBEQlIS1DMwNCpPC3K+jCWymtejKXIZJrOa6xQUk9fNNRqAYiri+mw7soPmqsbSHABdzH+Rohgdiie5OzIEJGabEIjEoydhFEJEPYIompKxTMRHCjja007KtrFl7NiA5+f5+csPsHrPRj57zhuYO2REsD9V5qWH9lw3P1n+LDfOupK8TtLSMIXbLuzHwteeoaC6sKVN/5rqqOp1KBQQnlNfAEXElps+W0rtqpwgW/RoxvtaX8neOjL2jDezPNekuF8VPdS+AEopVUOVfe+9Tvi9NCeFsu+980zC5cU6K8SW95YXjs5fEIEVERQzUyIoACcIahSV1nKQsTdERHsI/leKolS65ugcTjJa8udGUMx1azryBepTwbmhg0iJTZdXrCKtEUHNFENlCQszFpSFLwU9vomoJKVPre1G0ZZcrLp2VlmktSRtudQ5oaPFgAdb+CSkH+S8iEhWPGwmF0xFmKVobMeui1KgEir2JYQCq5gwX8kBFP63hZkXnGAuOGvUZBZuXcOFY40SoNJm3GULXbx6cEdwXM2i7Rv4+JmXIKWFr8ELcsXCxHRbKFLBXH33ime4d81SxjW38M/zz+Hs4SNwLM2lY0bynaWL+enKxdyzehW3n7OAq8aPCp5ZZVluOD5wNX3WPANLBzScgH4jgmsJ6WBCaKxgX5FEt+4NtuN1mPrqV/FWSekvfi2V5o1K65ywxceQVGglewEVrWUxihvUSAmV/JSWUdSmI+fxoUeW0pn3GN9cQ7/qlKEj2xZjm2oZWldNe94Y8ZP613OgK8v+rnaG1TdFL44ooh2bN5NWgY58gaTMMKIOvnzuBXx7ydP8et1qvnbBGTRWKX7/yi5+8PJaPnXmHG6YMpnfXXcNX3xuCbO//yhXjh/CF86bTEvVaXz6iVUc6u7ms089xDkjx3HG8OmMah7Ke+e08rVnH+LLF1xO2vY4bchQpg0YzIcffZCPPraQpnQCSwqqHJu07bDxyBGuHj+KKifBE1t2UJNM8G8vrORrF8zudd+vnjCUq8YPiy0Jnx9cOWEYV04YhtY+P3x5A/+x+BUuv/enTO03gPfNvYQhjUNJSY+k9OjxE7w7PYjPJnbxzne+k1/96le8XkPl9fbf0f5PgJRf//rX3HHHHfznhVez//NfwrE8th9r59NPL+Qd06f0Wv+BjZs4c+gQkrbE9QMvU/CCVAhW7t1Ld8Hl9CHDITA+7ZjhETdGTxsygvUH9zKotoGhdY1UJRJYQvDj5S9y6/zzgVBqM8xDkWR9B0soktJMgsYDKOkp5Hhyy6sczeW5cOxsMgnjfXCx6PEdhNAkhE/acskri0M9OfZ392DbtWR9hS0UCSlodx0SUnMwa+NYkirtUywAaahSljCUiKQyBnu9UwiMOBtLaLo9QZdnGcCUO0BrTaPhaAfXLYUmIUPvnAELoRRmCCYEBrxYukjLMtsWQUq84OSK3a+wcvcrnDZ8OuP7jzbPJTaJhsaHq0SUo2MMDwNMignfIe2GKHoSUqcc4UcAxeTlCDxlzACTO2PO6eFXnqMuleH2x3/Ih+ffgKclT29axpOvLWFQbSPfu/LdDKrJVKQ//eHVlXxn8RO4ymda6yjGt06lx7fwFRzpOkp9upadxw4wunkgaavoTY7TtSzK5agrJ8oX72n5b72NBauC17ISQAmbJXxs6ZucFFmuVtU7kfZ4Sl0hcCjfT8m5lAGk8u/l65ZHSvoCLqbFS/gVoyxhnkmvApChJzYAKtEeAiM5vv8QwFTqC/FzKbl/McPzRPfjz/mt3DP9yqGjAAyubTB0NvPEg8imSSyHoH9IhR3WvxEaW/mkLA8fidY+CjOHpC0XIEqGt4ShWvrawhKJCLiENaOUFtiWT1J6Ub+NO1vi82nYR3UUBThOgUI0fuBgMPuK7k40VxgjMpjfo2MU6Z5jm1pZuvNVQlnzhDSR4J+8/DhzBo2gMVONJeCmU84g5Vgobc7c9JOimIIV5Hkd6+ngF6uX8KMr38iMAf0DNTzT54fUVnPbgjN5ee8+vnDWmVw1flTJOCnJNaI4hsrrCmmCWh8RSNFR/5PCwgvyMnysIBooomhU+RzQV4SkfAxG65+gTx6P6ngiWe6QihVvlaKhIgQhwX8dfy8FCfRm22DcaR3kTJj+1JX3uP7+Z6lyElw0egybjhxl3f5uhBBkPZe7Vm5ld0cXtckEQghcX5FxbF49fJRh9Q1IWUoztYN577evvMJvX93A8r0HSViSYXW1jGio4+W9B7h1/im8ddpQHMfjygmt3L9+Fx97dBn1acEFI6fy7xddzsGuA9yxZCnn/3Qhv7zudBa/73y+vug17lm1hVX793D3qmV8aO65jGkeSJfr8x+LF3HZuEms2redecNG8sVzL+FnK5cwvbU/l44ZRtb1yHl56lJJkrZxupw5dAifXfh89F6M3/PyArmVno/5L3n/qeN5/6nj+enyzXzt+bX848N3MryhPy3VDbRU1ZJK1HPK4NHc3Ho6X1j2G26//XY++9nP9tV1/r6aFq8nzv8F2189SHnppZe46aabuPW08xlY14qnCwil+dnKlZw+ZDDvmzUVKB140/q38KVFi/nXZ5/j0/MXRL8LqTnQlefBja/w6QUGYBR8j+e2b2besGFknGSv488bNrwX71drTdYtkPNc0rbRsbfxSVsglSbr23Tmszy7ZTn7ujoZ0zyEyf2Hcc+Kp7hm0hzGO2l+vup5Cr5CytALZIxztMf5o6ey+uBBjvZ0ceboc9mTS2ELU+xMaej0bMJiZECkhiNtTZ3jkQmoGqEnUgENTh6Bxg4KQxVsSb4g6fYsmlONvLz7KdoK4EiL1tpG+lU3MaC6lvZ8N7s7OnHsFEPqWnCkjECDrwlqsAAaErIYAQjBR3uum5W7N7DlyA4m9h/FTadeG/O4FI1xE80QUXJ8aGgkY0mt8RYClciLGgEBolwWjSDMuJLA0l0bWLZzHfs629jVdojmTA01qRSffPjb9Lh5JvYbxifmXc5pQ4YHFDU/OsvQKHp22wa+v/QpPnPODRzoyWFbJhrTnlP8ae2vWb3nFaa2juK0YROYP2xcxShJaAgXdFGCNJS5Du9fudRw2OJApTzPpJLBUW5YRPspo3iVUzN65WHE+OOlFK7SRHkZMxb7AhXxfcSpXOWUr8rrHd8jWwncCKFBG1BmaDLGGyuCcGBEBwv7UplhbXZS2YNcfn19gZP/ClCB3qCk3DB8Ydc+5gzqj5RJCsqK1TAprRqfkJ6hAgV9L1QBCx0pVYGgTzHaawB+nFblKUmHa5MIorfVlourLLwADFlCUWUXovy9sFVO0C724bCmd1hjSgqN1gagKIrwU8XWJoiIxqOoiTKgArDp8G5GN/bHQuEISEhAeQypa8RTiikDRpTkf4WqZQnhR/UiEtIPKMCal/dsYUxTMzNb+xGX1g3lu98yZTxvmTI+Mg7L+0NYVyQEJ1KoXuBfa4H0bdMvhYiigGAMcnNPZeB0k4T1UioC+j7snPKq5CeS0D4+8OhNIz0e1at8X8UIKNE4K1kniKoIwmiKiJLio/GuLIQy/WlXRw/rDh7jHdMnc834SRSUea+b/hyIEQSfbeljCZ+EzHP/K9v4wjMvIoXFhJZ+JC0bKQTzho3EsWx+tGI1MwY08NOrrqSroNh8pJOtx9qZP7yJ9506BCnzaC24f91O3vfAy3z49PF86oklLJtwjI+cNoeBtc18+bzL+NnKJVxy97PcdtZkPnvOeG47ewIv7jjC95dt5mOP/ZbW6mrSTpo3T7mI365fyfI92zmWzeOpAtdPmcE9q1dx9ogJOJZPrZ1GaUHOM/fLkR6T+7Xwq3Xr0bpoI5h75Uf3O1xemWZbfG43zxrFTaeM5pmth7hr1U5e3LWNxnQNl00+hzX797C7bR/jE/V89UtfZvz48bzpTW+q+Mz/nppWAv0XqBb/l9jH30L7q06c37NnD7Nnz2ZkZiRu4SifOefN1Dk5BJp/XXg/M1ubefcpU3p5ZLcda+OmB/5EdSLB3MEDmTFgIOeOGo3naz678Bk+ctqZJOwEf3xtI+sO7GfB8JE8tfU1bpk9l4G1daWJuQjcIGkuNCJ/tfYlRjU2M3fwsGidEMh0uJLndu7hsY3LePusi0kmW1h7YA+bD77ChWNn0VTVgBSQlD6eluzPJahzfPolcxwpJOlyNf/54q9pytRw46xL6fEtcr6pn5LzJUnLJLF72kjpJqQiH9CwmpIuA5JZqu1CSdJqIuKgi4jP3OEl6PIMzzYpfY70dOIpja9cDnQeYU/HUdp62qhLVdGvqo6sl2PjoT1MHzSWU4dOIuSHhxGUfe372XBwO3vaD2F44gIQpJwU0weNY2TjQGxZpITF729IqSgqppnfTDTIC5S8yqMAOqonEm9F+GOuv8d1Wbl3G6v27aDgZXlp92aybp6PnnkJ5400xazWHNhLS6aWEQ0N0b7jvP2wfo3ScP1vfsD108+msbqV2x//EQnbZnz/UWQ96Og5wFcuvJ7GTH1wLkXaXjlNK6TahEZZsWhY0UiIe0XLE+TjhkRYoyC+rvmvKgMUNLb0sCy/T2BSck+FxrK8kkR4YySUJslKyy/SNE7gBSpPildK9nph9hVxqRRhKU/CN9upiAZWKcFeaRkct5hAX8nD2JfXsS+6Tl/gpJKhdyLO/okMxqe27uFjf1rGozfehK+TQZK8LBn7hirp0+0lqHOyZlz4CdKWiyM9PGXhaSuSss0r2+wDUz+lK6CAhoUYWxI5Csq4BVKBsmCDkwOIKtyH4wYomTuhGGUp/l6kjQGRqmEYBQ0lh8OIrlmnmJ+WjinkxWmUAD9Y+ijvm3MOjrR4ec9W1h7YzdGeLs4ZNZGZA0dQUFbgdFHRuRoIZMZVyvIoKItkUJtqy5E9vPfB+/jkmWewYNgw+lVXRQCl3FlQnkQef3629HrV+giplGDGlxfkwqgoJ88Y4Z5v4yk7UlyKA/kw0T4+ZuIgIh7JURSjD+X97Xh9Oy7eYQBiaR0UEZt/4mA+BG7G6VEEZyW/W5Xz4rQWJfOK71slY748uf61I8e46pdP8NHT5jKxZSCjmgYQSgyX1zazpU8iSL5PWgWyrmTl/nZ2dXSTSaR4dvs2lIYDnQfY0XaYF95zEdWJRDQvhtcTzhP//Nha/vOlrSQsix9cMYefLt/C+oPtfPDUOVw7cTw5v5qluzfzjRefRePzuXMmM294MxnH5rVDWX61Zge/WL0Vx3JIOwkm9R/GuKYmTmntx/dfWkrec3nP7AXMHdREl5eK3lVJ6eJYHh25Lq785X3MGdTCty+bTSZh9QkMPV+z4XAHBd/H8zVNmSSjmqorrgvQXVD8bMVm/u2FNXxmwUWMHzSH/d1ZfrVqIcv3rOG555/jlFNO6fX8/h5amDh/4F/P/oslzvf/zMK/+8T5v1qQks/nmT9/PpMmTeISdwRfe+63DKht5u0zzqLKyvPJR37MGyeN5q3TxpcoFXlKMfZbP432c/7IYQypq+Nt02Zy/yuvMHfIYJ7cshWlNeeNHM301kEAfHPxi1w5YQqDa+sJ6UMQJJeqUEVLoJXLzX+4l9vPvZgRDY3ROod7CvxhwxpeOXSIA90Fhvc7hdNGnhqdhyVMTogjNXUJj3rHo9Y2VZ4T0uehnRardq/laPch0okm5o5cQE1SkrYVNY4fKWgpDQ2Oy6FCgnrHpcHJR/KEEHL743KromJxQI0oyXEJDZDyZPSQUmX2rXl6yxpePbSThOWQSWQYWNvMmn2bGdU4gCkDRtKvthmNHdCtioXTQtqEyWEpCgvEwUl47IIy0Zoqyydp+SXJsiGNI25YhCAxjFAs37ebIXXNHOhq46FXX2bBiCmsO7CDhzcs4a1TZ3DBqDGMamzB01aJJHSlfI/QeFJasLO9jet/80M+f+4b+cHSx7l8/AwuGjudby1+nL1dWb5x4RXUpjKBtGvR0IkoXrGXe7z+RHjckDJYXL+0sGJ4buF1FxXCeoOQuHc33qRQgYHUO1G+L/qVEBrHyUdRkkq/S8tHWj4IjVayN1AJjxMDDPH/lUBGOUiJg474sXXFfcqS6Ex8nfh1htSa+O99KX6F21QyQstb5cjW8aMiJ9PKn5evFJO/+3u+c8kVjG0eGhlhYSTR1zKgeEHGytPupglzSOL9zwAXU5zUOC488oHyV05Z0TwQXkGYbO9qSdrySEmfpkR3LzBSUHa0LIzymHsRSwDXRbGD0NkTApI4XTMeYTXFHEMKl4rlYsTHAXx90YNcNGYST295hZkDhzFn8Eiqk+koAhSOoXA+Kcrsyuh4SemRClQfJT4ff+xBFm7fCsDGD76vxGivlN9VHlWQkaFebqSXbmcMbysC0mFfdn2nBFyHfdecs9ULmJT3m3iL9/lQuakcoMTnkGL0qwhIjqfoBcWk93KZ4NDpUTJWgrmkXOUrPFcd1hOL5gwRFXkM5wY/EIf59tJ1/GT5Js4dOZqWTA3b2toZXt/MGyefio8VOZFSAb1RaUF9sgspFK5vR4DPzBESIXyuv//XXD2xPx8+fULJ9cQjyGv2t3HpnS+Q8xRXjBvOD66azsMb9vGFhWuxhc1HT5/FGUPH4/qChzau4jvLXuJwT47apMPv33oGM1ob8Xx4aONu/vHhlfSvquGW2afyvZeW8pmzrmR4XRUPv/YqeS/PhRPOZ1C6nYZUBwCvHjrAF597mRkDBvDbV19jdGM1375sDoNqM7361k+Wb+Zbi1+lPe9S5djYUnCkJ8/4ljreMGkYV08cQr+qygnxT2w+wLv+sIi7r76Ksc2DaXMz/Hz1Mh7dt5EVK1bQ0tJScbu/5RaBlNvP+cuBlNue/rsHKX+1dK8Pf/jDtLe3I1dvpH5qE0OqNF1ulud2bmfzvmWAhyU9Q+HQIpoof/PKRgBuPXMWz+zYzZzBQ8l7LnevXs2+zk4OdHVzzcTxzBjQL+Bwaw51Z9nV0c7u9mNk3Tzjm1uiwWwHhlzed0hZBZTUDK2vpzmTAu3iKskPX15Ml6uZNHAaj2/dzuwR8+jJtzGptp1DboakVLS7NrjmRdvtWWQ9i61egkPdgnW7nsGxLGYPnU5r3Rk4QuNIj+ZEgRq7EHnjoVifpcYu4EifDi9pXkoUqV1Sgy+M1G348o4kQgNMauR4zYvai738wShPleSKUAQI542ZynljpmIJzfr923F9jw+efjmuNvvKxYpShrkllvApBBWtjVGio2rWcZUzR5qXYDrIqckpGUmUJgLaFxRpLMXCcYGSmYL71y3GU5pntq6lu+By3YyLaM+28/CGpdxzzXWMaWwMrslEYkKqSdjiICF8yZp7J+guZKlNZvjqcw+QsR2umzyLhG3zxfOuiLzVvjae63jV4vL8kjCJOF5XIt5CIBKeVzwyEhd3CFvcyxoaQ31Vjw8T5UOAUm4oQW/QYNtuLyMkXE8IjbS9iD8erkM8oiJ0L355peiE2baU9lVOKzP/ZSlYkH4v8KK1UQIq3UfpvYhoZMHhQknTsBhdvJXTZ/raZ3kLjbXwGVW+5uPvo68mhMK2YHBNhiM93XjawhY+jvTJ+gmMoqEOFPIsCioTJL06WMJEiPPKigz1cIw3JrrwtEVP3kEIEy0JnSDx8eprQdrysIShuGZ9h2o7jx2LQialG0WjyyOJcRplnL4YfhdCgA6M/GDMQHE+ikNJA7xKI6uWUHzktHNZsnsLt5x6NnXJZJRDoyEAZJQk8BfHqsnvS0iPwz09fG/1El7cuQ0NbG87BmByUsqjiWV5GY7lRhGT0Mvf17Msj0SUOw2k9NDaRL5dL4Hn20itosTx0nwfAy4q0blKDxwcqw9fZTxCFG1C6fWWn3f5OvHri19v+HtE2ZKq9zwCsWcDxOcRoY14QEQBKxaR1FrwrpkT+d0rO8i53Vw2dgpJpx8r9u7i3jVLefPU00xUSgs63BQAtU6OzkKGpOUGsr4erm+jkBzsOcbyfXvZevQYp7bOxbK8kjkoyoGzfKYNquGXN8zi0p8t4f5XtvKViyZxxcRWLhgzkLtWbubzzzxPQ+olzh85nFGN/XnsxptxrE7e8Os/cO5PnuGDp43m+mlDuWbSIC4c24+3/Gop29t2Mn/YcBzLIulUcePUCXxv2XLueflB6lIJ9nZ2UZdKMbGpjmPZAinH4vEb38hH/vQMM773EM2ZJG+eMpzhDdU0ZZIc6Mryr8+s5Y6L5jOjdRI5lcHXgryX5emtr/HY5uV8YeFqzhjaj7NGDGD+8H5M6lfH7o4ejvTkGVqfpKUqxb8tfo7BdcPodmHawHEMTRzkzW9+M4899hi2/VdrXv63tkqR+//qfl5vf6Ug5a677uLXv/41s2bN4rRMA3eueIq5gwcyqrE/v97cxYdOv5wPPfQDMrYJudqWKbzk+pofvrwOgKQt2d3exa72o7znlFM43NNN0k6RtBwG1FSVBLHr09VcPWESGsWdq17i6xdcBBjPn9KSpOUaTreyULrAlH5N3L3qJboKObpdxfQBg9nbLVi04zWunHwBwzNHSdlVfO/FX/HeM25ke3eKpNSkbGPIHujq5pF1j2JbGWqS1Zw/Zgqn9K8jLT2gvaiEQ6nRDBBWHQ6X1dm5KCJg9MwNTaPKKkSqYSF9I9zG1YF5LjSW1kHBxOAlT9EQSUgV8cG1FhS0xA08mAmpGNkyCicAE1nfosFxSTjmhZxTFl2eTV5ZZH0LR2raXRtPCZqThcA4CUFMkc5VbXuRh7QQysDqAs9tXcejr63g1MGjuGHaadG1ZH0Hic+y3Zt5YcdGFoyYyMQB46IaMruO7eae5X/ivJFjGd9cjwqSUCUaGfDO4x5lKDMUIyNK8adN66hKJDhj2HTuX/ci4OPIUvWcIsWrjyRrTAKwplR+ukj3CmukKLyY51mgg3PWvc4z5LmXJ+WWHDfm8YuATAWAYpYXaSfh9/J9IXSUoxI3LOLRCmH5vV/kMfASgYTo/ELaSLgdvY8b/F4EIBWMGi2iBNvQEx0ZQhXuS+joEDIE0bIXaDtexCS6T2ViA3FgcrL8/PJr6mv90vsGUhRISI9uL0FI87KEIufbQV9TtKQ6kCgSboa8cihgoq4J/MgR0pTowpKKjMjR5SXJBRW02z2HghIkpaFXJQKZ9h7fxlWCtOXjaYt8UNneihndFgohNVk/EdEZBdpEc0Qx388UQiw+dImRNrdkMbIdFo2FYsQ47rwoPguzLJNIcs7IiYFBWvwtlJD3tYwocSaCHI5bi4T0eGLzq3z6qT+WPIOl734r1QknUJUsOgXKgXw83ysce75vR+POsryoYGGJN75kXjDbhnTIsC86dsE4Q5QdJdab85BRZCHYWXBvRTR3VOrbxQKSvSOO5f/LBQDC38r7f6VWab4BSgFKeM+CHEdUhehtDKxE+4VoXlFKUp2CX7/pLC6463HmDdvHghH9yCQyWLJo9oT3JV7Q1FMWXYUMtvRJWgW2t7Vx7l33MaV/PbedM5754wQ6JjEXXVPsumxZfAZn/+Qp7nrDbGYMbOSWuSO4afYQfrV6F8v3HuPrL27k/ldX8pYp4/j9my9j7cH9/HrdVs758TNM6lfHR+eN4bPnjufyu1/ksRsv5Qcvr8SRkn1d7bRU1fOOaSNpqZI8ve0Qv31lI09tWc/wujqe2LKDD582nrZcNwCHe/J8Z+lG5g8bSHs+S0fO5d8vnM/pQyfg+pKMzNPppkDW8MaJ47ly/GSO9LTx0u7VPL9jH//+wnpynrlHDakEh3vyvHHycG498xIOFxo5VrBZsmsThzq6yG9u57bbbuPLX/5yn/3g9fZ6O9n2VwdSVq1axQc+8AHuv/9+Pv2uDzH4vJl89PTBpO08ed/hH2cmOdp9iNeOHOUjjz3HtZOGB9xczSefeAHHElwyZiiPb9nFzTOnc/HosdSlkrRUZSLObviSi2hCaM4YOhTXd1myawe2MGFo2/KicHohKGYECd59ylSOZl1+umIlnflOhN3Agc5NnD24PwuGO/x+w0G2t7Vz7aTTyPoWrx3czeo9a0EXTHK4l+WqaVfQWpWg1nFpTuTxtY68eyYpPUiGF2GkoMjhhpD6ECqT+cggCpGUxWhL6DVMSD+qCG0JTbUoAKa2S0GZmgBgvM++NtGLsIX3KjofwMcURwwpGFWWR51dKJ4bJmpSa3u42icdULZsYTjWTuChTATRBK0FtgxUeoTC1xJHKBzp8ez2zdy1/DGkgIZ0FX949WVunH5q9PwOdOzhV2uWcdrQUfzDaZeBsMgpQVe+i2c3v8T9a5/lmgmTuGX2KRGACKs26+AeRhrwlNYOgKLhs2LvLh7b/CpfvuQWhLC5f92LVDmit5qO0ISGS9wzHPL9w33GpVZDIzIEKpExEBoH9H6xV/LaWrEK1uVgpsRoIl6MsVJEoNTLGTfww5dxaFRIS0UJfsVog44oGuVRgrgB1Nfn8mXlyfPhORqjrZSaFY+qFA16GVG7wqhjpXOL7nVZlCreJco5/MczzHp5oPvyZlMZbFVer/RZaK3ZdLSDoXX12MKnxslFHPW2QhVOIKPbmOwm6yVJWm5EAau2Fa6SUR5LyvJwAofPkXwtllD0eDZdvh1VfQ+T1UNRjm7Potr2oxosYRQwHmEIn1tYxyP8HL9PZt8mnuLrkA5mnDKhpHilcRNur6lcPb08OhO2MLIpCI1TXbL/tFVAChUBlPHNTZw/cjiXjB1OS1UqGHu9c05CYz2eEF/8UyV5KNG4tYu5XkJWcDL4VhQtKBSSAaAxEVFbuREQ97UVVVQPaV8R7bcE1Fbo99H4MrK/5Ypr5fNNXACgZL1eEZQKjp9Kv1e67uieBBRlJQzNKwbCREzMI2wyds8H1iV4/6ljefC1DZw3ajIzBjTzwIbVKO2TCnxAYVHEMAIYUue0LwLHpIsUgt/fcBbNNRB/7n21qa21OFKwYEQLcwcP5NK7XuDJm+cxubWGtA03nTqYmxhMR87ljue3cceS1XzjxTX8x0Vnc/vZlzK26Xm++vxq3vLrZdSnHKa31vOhR5/nWxdfyteeX8Gn5y2gPp1mw+GtvOMXT3GoJ4slBO8/dSyDazP8x4uvcsW9j7By31EG1WZwpGR7Wxf/cvZcmqsGYQuPTjfD4ZxT0j/qnBwpu0ChYDOguoZLx83jDZMKtOUdtrZlaa6qI2VbuL6mR6VY2e6QthSOUJw3cjQT+o/gZ0t/x3e/+11OPfVUrrrqquPep7/JpoT5+0vs5/X21wVSOjo6uOaaa/j4xz/O72+/m9HNI/BFCimMakbGzrGv4zBv//39TGxpZNqAJkKlqIXb9nD/+i28efI4vnju/MgocZWNp2VE4dBlRqgUOpIe3dF+lEG1VcXJCsN3LSgbL0ie1wi63AxHs0fZ1dGNry3W79/K/q42VhxwWHWwnZnDZjN04BB2HN3GE6sfoF/tMC6ceC5j6yBtGcnKpFQkre7IE2iLUFlGlERKwqZ00SCO04eKL3hdck1hi7yaxieJwERbALyAohWeg5mn/BIwpEQxQd4NjQ10kDSrsAM+uEZEBr4fAD9LKmzMi9LHIiEVKWmkmX1kRAFLWD6pQGXIACmPQ90dfPnZB9lx7BDvmT2P7ccO8+DGtdwy5yyW7NrC2gN7WLVvB0PrGvnI6ReQSTiAx+6uLN9b/AjP79jA+Ob+/OzKK5nRavixKhbtiKeEWnHjpezdo4QBLyv37WLWoNHUpJvZevQgjrSxpKxonBbVoUrpD+XywaEqTwhSwsJh5lxLjekw96T4vfiiLKenRccMPbgxSoYUlQ2r4ja9PcLlAAWIAIr5rCOgEhkMlV7ioaEkFdrvncxZycNbHsUo3aZyxCGMomgtsSwfpYpSrqVe5uI1B1v2/q38nsaiJOW/H+96eh/r+OudzPIwijJrYBPfXfYS/35hfwQWtvDwtUXWtwPZcuMRFmhSdh6ArJeIAENYD6UKNwIyPb5DxnKxhKFf1js+VcH3XJCrklVW0Neh3bVpTeoScBLlvwkzBwihsVTRaA4TmOO0TUuAiEm3xyMA5fTH0Jltvute82ZlUFKqiqcDh0p4HoJQpthcy7tnzmDz0aP8+MoLSiIJxfsfAxtBFKa8llAIKsqjJVH0IBwvcZAfa9LyUb4R2XCcojOoVzqpIlIDQwX3L1YPqOR+VIi4aopjTgrKgL4B6+Vzg7m3xffSiZwelb6XKHqVgaiS3y0NvjSUrwogqnhxQS5NsK9zR/Xjy8+uQ3CEaqeOsY11tHXvZ2RjQwRI7CDyWHTGFa973cEDjG2qp6U2Fi0R5ZZEcA+VREhFVcLmtU+ez5xvP8Nbpg/juslj+dLC17j3hlNK5tHalMNt547jn88ey+ce28gbfvMQ54wYTH2qhhEN1YxtruaxTftZu7+dc0f344K77+W0Ia205z2qkxYZO8WhnixgCiF/e8lGjt12JVdPbuVDD60A4KLRwzl9yGgG1uZpSA/iSL46EoIw4Nxce9Z3cJVFt5siY+fp8ZJYQtHppvGxaK3N4GqLrA9CmNnXkZqCEmgpyRUS1CY110w+E3f1Qt72trexatUqRo4cWeFO/e02rf8yVK2/zmzx//n2VwVS/uEf/oGOjg7u/tYPmDFkGg3pKo72tPPguhdoTDtcMGoE733oQd4wcTSfWTArMroADnR1AXDV+JGG+qVsnFjOSrkHNGyhwS+FYnJLHb9dv4bDPd20VGVAm8k8nLCyboH/fPlF2j0bpSGTHs6mw3upUSka6iYwrHUKys+y4Ug3O9te5FDHbq6ZeT2ja3NUWR6NiVxEJwhfGpqwQFkx3B5/ocZzGuLfwxb3LEIx4TOq/aCDqrxBjsTObHVQuV4E3klT6LFfMkcqqHMQev2l0IEGv3kxhJ0ljDiE98XTkrBQYaj6Y0CLqf4eVm+utV0UIvpuaGOmQJpAU/ALbDy0jyM9nXxn6dOcOng437joCg53d/HVRY/x1mmn8rMVz5NxHKYPGMT45hbuW7+KpG3ziTPPp6AsfvbSn8i6XTz+tncwuCYVAM4gSTi0DwLDPaw+DjGPa2QABQaRBo3Psj07OW3YNFKWYu2edUxtHRV5jUu2j1rpDGPFjITiC1VG64YARYj4fY/lfZQ99/jz78t7WYmCYqIovWlexy/QWDmCEk+GF1KXYIZygNFr0o4bZfFjUBmg9EXVKj9eaUQmpLUFp6kVQsiIKha/bvO5SDOrJM1Zcl1UlkWuZJz1dc7HW3aideIqUD+5ei6TvvUw+7uOMKDG5NOl7RxNfjdHC1UUFOT9BEmrEMyNVokYSDgWC8oiISUF36bGznPUzdAV0CZtoXC1RUFB1rfJBXNIQiqyvhUl6sdbfC4DgrwXFTh7ZERthFjOHDoQ1jAgX8c4f0qXAsRyR045WI8fO5RiLgc0ShmRgDD6BOApj9+sW8HT27bSvypDcyYdgJZSCme5+ESlOkK9kqtFMTG8fAwBFWVHNcVIgwzGTTFPpfScDCBRkbS20Oa4ISMg3spBFmAiMeH+w3dIGXiPOzzi97v02itHBivOL2Ftpfj8E3qLyre1FPjBm6fSnEJw2gGtVErFwNoEBV/RXeihuSrDsWwbm44eYGRjA0LoqHZQGI0LnZZhHxnZkGFPRxc+LrYsUke9QsKwAGyvF7AUQtOUSfDliyfyqT+t4c6rzuHinz/K8t2jOGVwfRGgBmDHtuBfLx7PR84cw3W/XMafNu8iZVv4SnH7eZNorU/wpqmDeH7rMd507xL+sOFFPnjqBQypG8TPr7mQt/7uMYY3ZHjkHWcgLU3/WpufXzebgV/+I5P71XPuiGakVHQVFAm/KJoRRg9DimhReENGY7WgwuinBnxczHhPSZ+eYH5wlRn/vq8Z2jiET51zI9964X5uuOEGFi1ahOM4vN5eb/+V9lcDUu69914eeeQRrrjiCvIrt9CV72BTx04Kuf04ssCmw+38aPlKLho9jH+ef0rRKxxMkGsOHGFIbZWJrqBxfTvyEPhCl9uMQNFYBSNDKKXiH0+byX++vIZb580tWU8j+OmqVQinhQVjzibvS7KeZOxgI6t7oOMwL+18lXQig7Qa2HF0NedOvJEOV9KY6KDOzpG23F6gwkR7rOiFgAg9iFQEJuWfTdKnxFWmiGSoWJP3i8XAwrySDs9mXzZZcg621EHiq6TG9mhOGE+rpyVJESSra4Uji7GBSJUHEdQTKBooQpgk1/BlE0ZXCkqaSS2o8WLqGviRqs6OtoN89snf0V3I05DO8LZps3nr1GlsOXaUN/3mbgCe3rqBT88/l/NGjEALycGubh557RUmtgww56x8Htu8nrOHD2dEvY0QbvR8fW1FOQehd1doDcL8Vt4/IgNHaH6xag17OjqYNXQq2w5v4w/rnuJrF72lxGvcV/8qb3F5VF0hUhIabWGV+nI1qUpVz0u8mpR7LXXJWInySMoMivIijH2BAyEV0i7Lt4kMC2NkVTJE4vuN08JKzIy4kdFHK9m+7Fz7XhYHIkGtEGVVNKSK4Mjv0xtWDmL6AhAnd24nC1L6ymlRNGaSjG2uZc2BvQysbcISCsdyqU100+MnaXeTdLkpklYBV9nkfJO3UlBWRAHNKcEx19RaaUp0k5AehSDqlJQ+KWnEL0KjBIh+zytJUiq6faeE22/mqVKKlhA6pjZYCjpE7MkXAUZRBazoeOldx6avqEn82KVKe0XlPrPvojPqlP/8NqcPGcyKffsAePJtb6o4rkpzThSW5VNOlSz5XAZQohyMWPhWqFjSbRBhEcEcjhYlNUPifUAIEUvQl8Y5F6uxIoJ7FgccRQdIUdwBUaQ0RiBcl84L5e/ecqATX7f3sj6oUiVzTG+AUrJPqdF+HwBFmFk1Aiq+hWMLUrbkaDZPa63LJ86YzmeeXsrpQwbTkE4DZt70tOnb8Zo5As3oxgYG11Vz/b0ruOf66aQdCx1Q8Po6z/DevXHKIH6zeg8X//xRAFbuO2ZASnyb2Lk3Vjk8+LbTeM/vV/Dy7mN05D2e3XaE3944ByF85o2q55n3zuPae5ax5ej9fOW88zl96BBefNeVnP7jB/jSwo1896rpCKlwHM3t50/kcwtfYt2hQ3z+rNNJWgWSMhFJjkPRQRBX/AtbnKYsgrdnWGRVCKixXTxlBHPC+2bmFsn1087ltkU/51/+5V+4/fbbez/zv9WmRW8A/V/dz+vtOFqb/4Nt27Zt3HLLLfz0pz/lvE5BTyFHwoLPLVjADVOmsrO9m8e2bOMLZ8/hK+fPwrGMB0uWTHiCxnQaS5oXsKcterwUOd8Ucop7jcI/R3pYUuFYnpFlRdEvk2RKv0a+s2wFrtIoJHnf4VghzQXjz2JPxxFqHZ+Mbao37z+2FosCNen+jBhwHg1183DlGI507mHHkU3s60qzP2fUQ+ISsqX0Aq/kLyndII/EePhCxR4nCEmHno8uL0m7m+aYm+ZIIcOhQop2L0GPb9PuObS5ieC/EwGUnG8UTTwFeV/Q5UraCxZ7exLs6klxzDX3KzRgNDHpX1FUAAJT3d1UYi4aUJbQ2NJwVBOBqpenJI4wURYfk3+SlF6JGs+dK55nXHN//vjW9/CbN72Vt02fhi01CUtw6diJ/Pzat/DHt7ydi0YPx7Y0eS/Phx79AxNaBnDZuMkINElL8vNr384Lu3ay4fDhSMkq9HiGSeOi7DkYMOtTLskLsPbAfr619EU+tuBNbDqyjy88cQ8fO+M8zh7WLwIXIcAI/yL1MXTJXzyZOL6eJYwSV/i7JYIq8KiSz3HDqC+AEt+/lAorKFYmIyBSHl0p1i0o8ayGf2ELDCxpl/Lsy5uQutdfeKxSQ6TsBS90iXcx2iZcP7as/FzL/yptE93zoN5LWN+gfP3y+9fXsUxOgB94z1XJX/nxy/dd+bs67l+l64m3984ew+3PLuVQ95EoGVtKRY1tqCBtbpqCH9TdCKijYe5a2nJxhAFnYTX5vHIoKGOg1NouNXaetDRKXmGNEikMQPGUoMr2SwB4eYsMv2AcONIjYXnGORQbB/F5sZJjxnwPqDwU/0w0vOjYied4xf/HlxcT9oP8NKlQ2tR72dvZyRXjRmMJwejG6tI+JP1IxltKP+hPph9IacCKFUhyh7WDhOVHKnghQBGWNn/hWBEEy4qCFMIqjVyKYByKcL9RPw3HZazPEsxtsjgPxmuklLfwXobzhRWjqJX0/VjuXByklf6V9tW4stmJEvPNlwrjJAZeSuaTSvuJrVOTtHjbzOF89LEXWbZnD9VJwWVjR7Dh0D4S0u2lhFiel2ZLmzuvupinthxg0eaO6Bosx8Vy3OIzLlMnM+ci+PVbZvH9q6az8h/P5t2nDustsRw7d2n5ZFJwx2VT2NuZpS1XYGRDTYnBOq5fFc+/fx6N1XDVr+5j5d59DKxu4l/PncX963Zz830ree1ADinh/WcO5ddvnckfN+4ilcjiWC4ZO0fGzpOUbow6KaLoiQzfa+E5CWIRFlEcxyganSzVtkuV5ZOxPGpsl0QwxgbW1PPBaRfw9a9/nUWLFvXqb6+319vJtP/1SIrv+9x4443ccMMN1D+0hPr6/tw8Z6gxbqVLQzLHq4cO85HTJ3PVhKGBkVn0Mmst+M36rTzy2k4evOFq2rIeq/YfYmeHy4bDR5g2YDBXjx+MLbzIuAtbaLCGhl+4v8vHj+HlPYf4zFOLOHPYGKYNmkqbl+TFbS9w1ZjhTKk9xp4ei9+teIyc57Pt6CFGDLiYHtciryTViSTnTv0I63c+SHPdNA7mEgxNO1FV5nASDMPLUOoJhGJiaXzi1lqQVw5dXgJfSw4VUuR8U3sl60sS0hQ/tIWiOkjGFGjyKigIGewn5xnDwtMCX5lzSFqKgi84UjDeUE9LkkgkPppiMn4IUBSCTFBLQQX0Fyk0IZFGBNtkfRtfw4BklryyqLENeCmnaoxoaOHpret5ZNM6rp4wCYB1B/fTr6qaL593XmC8FBMbv7dsMRsPH+Ldp8zjaLabJ7dsZHvbEWqTaSa19OeFXXuZOqA2Wt+yfITSkVxneF8NdUdEyfRSq4DHDQ9u3MBXn1/EDdPPprW6js89/i3+ecElXDluJFYgrhBdhyoqQsUn/njr5T2OG7Eh1auPpMzy+1WelN1XrYIIlJV5MMuN/rhMcNi0KlW5ko6HsGLrxKkp8WstP1cZo7GIICKnRakscTySUyZXXLqz0mhLOGbLAUD4W/k9McpfKjKc4usVwUDvSEnl5P3eUZ1ep1vhnhe/H58OdrIUN4Drp45g5d423v3go/z0qotpra5BCE3GydHoZ9mZraXRM1zzVFApPh3MR7bwSQYV6cOaJR1ukqxv5jNDwVIkZA4pNHtzGbQqqtNZQpPzJYNSBTJWnoTllXjZK9Hi4t7qsMBrmCxvPpeOn/hvYQtV8qL7Qe8IS3zMlVMzXSUjBxCY492zehUA29va2d7WzgWjhhXHCERjqljEr5Q6WU7pKnleVgA6BMV+XJIEp4NIJMQvQ8tiDET5IS2OaJyEc094nkoByNJxgJn7hNAVo75Q1rdiBnt5hKXcOdIrx6Rsf0JoXN8hUSka2Guu6Hu8ACA1QtGb9hUbo+G2cTXBfzlvErc9sZ6b/vAsn11wCheMHM3nn13KsPoahtQ1FpkFwbyuKEYQpNAc6enGEoJTBw4FOrEct897Vz4n2JbkracMKl2ui/N/W9Zl/vdeIJ2Q1KcS7O3IsastGzEXzh3TiAzFFYJt6jMWd143nR8s3sE7Hnic373pMm6cOoVTWpu5+Od/4v71u1j14bMZ1ZRhfP8q2nIFPvP0Mj5y6ixqUx6essl7SXrcFHnlIAhV9kIQG0QXhcZVwrznEZG4Tuic1BhV0DrHMDAEmoKwyCsbWypmDB7DWSNO5frrr2f9+vXU1dX1fqZ/Y+11CeK/bPtfj6R885vfZPfu3VxXSJOQPt1+AoBqy+jr7+8xcnvHclnyfk/kuVTKFJ/K+4KvLFrFF86ay7Pb9/CtpSvwtaKlZhA3zbqALhe+8vxS1h48jC1d41UKvES2NBEU2/KwQslSJFprVuzbz7mjxrLxSAe28Fmx7WnqHM2Ulmp+tnwhP1zyIJOGXoRtV9NSOwhfC4507aWnZxvKO8Dew4uYOWwBA2uyTKrrxBI6qlxfpDcYQ9IOIhLxP1v6UTKfRKO0pN1Ns66jkcf39WP5sXoO5R08bahhduxl7AhNUvokpY8jNNWWUdLqKlgUAppa1jOPPm37EQc850sO5RxWHavhaMHplbgVDhlLKKqtfJDnYiZxR6ooSTesP5BXNgnpU22HtRlKq8THwdobJs1hcr/BfHvJ8+ztaOfjf3qImx/4Ldf86h7+/cVFLN65tSTicc2ECQD8aPki3vWHn9NaXcUnzzyf9885g7NHjODlPfuKBoX0SwBpGJmAmKcOTVchhxCa/Z3tvO/hB7lj8WI+s+ASrp18Gst2bWRSvwFcPW4EjvQjPn3kfZSlNUzKPbdhYnwEimNe4HKAEnqT49vG+0sxKlK6XWikxKMncYBS7r0vUR8qo4GVPviiV7fXT/H1RdG72ctLKmP7LjuPEoAS+x56jMP9Vjq38nOuBFb6imAUoyC9ty+PkITfi9GT4v0uv7d9/Zn99464nOg6ys+7r/vwpQumMbAmzbeWvBz1s6Sdpy7RjUDT7qZoL2SCqKNLUroRH98JIrdgjPWCtgIVPh0UVpRBgr0dgZJdPUnaCzZVts+O7hS7stX0BJFrW3okLJeEdEkExfLCfh0fI4KYvLAuBRzx9ULKV/gXXy/u+S7N4yv+j1MzQ69w2nKpsgvYwg+qjru855TpfHbB6dH+3zJ1jHk/hHNPEDkJ+4iUCsv2sBwXO1FA2l7kWZcBKJEJDyvpIR3fjAPbN8sd8z8aNyIWVYktF4Leih4Vxm08OT/ef6PzjNVIKneG9NVno+gzxYhz6diqRB/tPQYzqS4cp1AyZsJWMV8t3qQuvX4ZXruuvH64m/DeSEXCga9cNIXvXDGDLz23knRCcP7IIezr6sQSKlCY9EjYpmq7E4wFT1nkPZuntu4h7yuOFA5HRmjfdNDjj9U97VlePdCJ52nQgtqkTd5XHOtxGVFfx79fPINn3/lG6pIJrpzQyuyhNcWN48Bdwi2nD+eWucN490OPs7czhyVqo98///hGlGfTUpXkhQ+ezqajncz76YOsOXgAITSOdEkFEZWE9AJFOx2o/dnmngifgrKj8RXSt10t6fISHMpnsIL3fkL6pC2XOidHU6IHR/h0FjRXT7kQ1e3z8Y9/vOL9+ltrWom/2N/r7X85krJ582Y+/elP80//9E9U7e8m50u0DqoZB/CpQIYvnXcmd61cy9Fsnn+edwoNqRTHsrDxyBEe3bSDrOuxfN8RzhkxkivGz+BwviaiNJw3ehKbjw1j0Y4VbG87wtXjRxvpxgCgAFFl2fa8x/dfWk1H3uW0Ia0s37ODHs/n3xf9nm7XJ21bvHJwN7fMOYtN2YFsaSsgkGS9Gla+9htqUk2knQQ7D+2kO7ePM0afg9bQ6RmahQYyGIMtVB6RZYM/pA5pbShrOd+hzU2xJ5fmQC4RgB3B0bzNqISHrwU7ug2dLGMrfO2SSCiSVlgBRJMNkmSHVeeRQpNXBtzlA0552jIypTlf4ipBt2uxP5ugxvZocAokYzSzkO6hMZGHtpAepiWNTj6qz6CUUQNrdHJoBHtzGaosQZ2Tj4BJHKxVJxNcPXEmL+/ZyuX33sllYydw33Xv49WDm/nG4ufZfuwoZ40YbDqF0EzqV8uyd7+dtlyOi3/+G+YPa6Qu0UVboZqW6v7s3vxalNhZyZMLRclejeCX61/jtqdf5K1Tp3Hf+nVcNGY0t511Nd00YVFg0fa1nDt8eKT8Vk4NC49RqX5A+HsIQMyxFX5w/0PqRfh7Ode7XDa3UrSl0guxMkAJk8ljy63KlefDOicAdjpP5AHWorfySPn2oceT4jbhb3H1r0o5KfFtzL6C2ipCl0RfzIfje62i+xLuOxZ1MXVUit7DSsCgb0PEj/Wr4vK+E+77lliNH+9k1imP6oRyzI4l+MjpE3jL/c/z4bkejek0DVXHEEIzsfYga9sHkLYchqYLxhNq+/jKGOzhMRPSjxJlAYamu8gExktB2VRbBRyh2NxdzYBUAVdJ2lwzv+zJpmhJ5EhbRiUodLbEI9XFXLgYRVSa+SIsrBoCkuie9o6nAaURy7gCWAhMitsW72cI+L0goupILzrHEMjcNGM8//LsiwCcM7IloD2pEtnu0PA3YCSk+5SB6YDCFYKP4v/wYVYYA2GkVQlE2MUVxfyU+JwTbmv5RmiDsJ9VUrALQIsy+XiesoP5pkhzKq5bOn8VaVqyZJ1K/bX0c+l+KvbveH6mFiXbVI4kBh8sDahiDk+FaIrZIJhHgmd3+fgB/NOja/j3xUtxPZu1B46wfO8uLh4zgon9Gg1bwUtS8J1IfW7L0SN896WV3HvdHIY1pAGN8mx8vxiVl5ZLh5unLVegI+eScWyO9BT46sLNdBU86tMOb5gykLX7O/jPpdsRCIbUp7li4gBmDq7j92+fzY+X7uR36/awcOt+zh6xn0F1aTYe7qK5KtF7fg2atBSfOW80ezuzvP0PD/Ojy88GoKUqwXevnoqVKCCkZny/ah585yy+9+J23virhfzwirOZPXAknrLxdFFIo8bJUijY5HyblGXGS5VdoNN1SJKjMW0cDh1umoxVQGtNxs6T9VN42mJXRxcv7NxM1nXZcewwIEgl0oyoH8AvfvELrrvuOs477zxeb6+3k21C99Ix/J9pSinOOecclFJ897vfpe1b99LpJenwElTbLmnpIYWmOdkJwMoDWf758XvZ09lNXTJBe75ASybNhJYGPnLaHIbVj2BfrhYhYFCqjYKy6fEN0q9z8rS7Dnctu4/3zx7OxP5pkpYTqX7lvSRaaz7z9GLec8oMBtdWlxS16nbzHMvm6VfdRM5PcChfxaauahbvLvD42h+TTtZRlajBskzYtH/9BCyRpiO7jfPGn0l9slgtvdbxGJDM05ToIRV5GIsVrrN+goKy2J2r5kAuQXvBosczk2GV7eNYGq0haRXzRDxlFHqSlqIx4dHoFIzsaCAz6OswSdYkuHla0u2Z2ghuYHD2TxXQwN5skqQ0tUOM9KhLo5Mnq2zyvkW17dLlOSigOWH42wVlRQnwllAcddO0uyZyUlCSAakcEo0tFI70S4wQUWZA+CpPV76Nw12dfGnRs2w+eojWmhr+Yc5Mrps81mwT3Mt1Bw7yht88TFM6zS+uvYKhdTW0F6q5b/16nt66hofeugAwL1elZGAAGfUbP0b1Wb73IG/57WO8cdJ4nt+5h5tmX8qsQSNp9xLYQvHc5sX8cvXz/OHN19GYdiqCibhKWNxYii+LnzsQ1PcRxEFUea5JmCwPvaVPy1todPQdQemtNFQexSjurLjMThfKaCmgA4dCnPIV0aaCPmousmhE9OUZOm5YuwyElAPDsDBkOd89vn5fRr+usN3xAEL8Go937pXOoZyK0lc73vmGLZRRLj1/GX1/y33PM7i2ltsWnIFE4dguAk1bro5nDw1let0RGpMd2NKPlBB1MCYFmpyfiIyWuPpWQRWLxhaURdZ3OJBP0uHaprijgAHJPNVBDkuNk8WWfsnYkEE+SuhE0ggKvmPqUQRzQjguwqhzXPkQeqt4hfQTjYgl7FMylsL9hp7hcK5KWoVINAWKtMnfrN/IJx5/kaXvuZQRQU5KSQQtyDeJVLownnvieVgxie7ghItAJd5fVFmirS5dHv33YwZ58Hv4XfkWWhX7gPkrTYCPLw/nw0ihK+qbx59jKo3F3kCiNyCvCFJiTodi1KPoUCjZb5wGFn4O74mShgYXv4ex45XcMy34+jObWbjlEAe788wf3o/2XIHHNh3ggesvZGhdK/es3sAv164PJOahLZdjXHMtv3/7rOg8lYLntx/hhy/uY9ORDna2d9LtelhCUJdy6C54CAEfnTeKQZn+7Oo+wCOvHiavXL53+VwmNDcw/yePsvlIF+eMauaBd5jaXwVP88y2gzyz5Qh3vbyLjrzH+o+cz9CmUnWs8nvu+XDL79bw8CsHqE7a7OvM8fhNZ3LGmOpoHeVZSMfj3hV7+cffv8LopiqUEpwzYiSXjz+Nxbt2ce+aF6hOwpSWYVw28WxG1Gra3TS/WPU896x6gTmDBtDtesweOICOAuQ8SNkuggRKK2qTCS4bO5bqZJKlu/fQv6qaGQOH4iqbPzQluPfee1m7di3V1dX8rbWOjg7q6urY888XUZv6/1cz68i5DPrSn2hvb6e2tvbEG/yNtv81kPL973+fr33ta1x66aWc09FEraPo8IykX8b2cISPG0Q4sr5Fu+swPNPFvh5Fyt9Ev+oaXDGQndlqLKEZlOomYxWC9R16fIemRA9Z3wmoSD5Hu/fyjcXP8ZkF0xjbVI/rO2TdBOsPdfHLtWu5eMxIZg0cBpgaIntztfT4NoNSXWZ7N8PW7irWHK5m66FX2XRgFVMGTqG2ahRS1pByfKocj5SlONjtsXrHE5w+5jIsqWlOu9hCk7EVjjD0qOZEgaZEDwVls7Wnmqxvsb/HMYUPg4nYC15Evoa8L6lyfJJWyI8OJYYFKVtRY/ukLEVCKqpsnzq7EFCwTO6Iqy0TpcIofR0rOCgETYkCBSU5WjADa2JtZ0TLSgbJsp1eki7PISEVGcuEh0PahCN9o1CGMQwOF1LklUW15ZFTFgnpU2sXyFhuUHPFvCBdJU3F96AHVtsFHHL88bVVfOPF5/nHubO4fNwoWmtM8bTyyudPbd3Flxe9zCNveSNSEii6Kd794J84dUgjHzvTgBrjMbeKxh1F1Zv9nVkuu/dB3jljNheNOzMydI65KZoTWQSaK37+HT5/1gIuGD20YqQjPEbYjmdkxqMsnrJ7UVfi24cgpXxZ/DhxT2hY8K03IPF7GQlRoudxAIoQGpnwkHZlZam4cRUHLH2BlIrHCYywEwGVPn+KDLbekZVeymQnACvlYOJ4dI7y45/o/Mq36wtk9l5YwVCM1XoJzz1MTNZa8OrBDi64+3Hue+O1TGypjyLHnrLZ2jGA1nQbaScX0X8Acm4qAszdXrpEhlQFTg4d8Na7fYcqyyXr23T5DvuyJppqCc34mg5q7Hwk+GHFxmwINmxhBEss6Qd1qAxIMXRbEQEmNxbRKVdFDJdBUYEoTreM39O4qpdAk/cdLKFI2XnskCIVyVUHCeNo3vXAM0zuX88n5k0sEVooj57EwUmRqlX52ZUAlNIgTxHEa1ERqES/l42p0EBXvhX1/3IAHgex8e/xPl8p4d18jkc3jldnqHjP4//L91cuoBGtXx6NKgNzYRQlBH9x8KY8q/I8Ex4rfi/CCEhQtFgryZef3sQPlm3mrdPG8bOVG7jj0qlUpcx9tYRgcv96Btengl15fO7xDdy1fBdvnzmSSU2DGVzbwKDaKqoTNlpb9LgeOT9PQ6o6EIbw8bXFj1es5OwR/Zncr4Fur5t/e3EN+zqz/Pz66QhReu5Z1+eZrYe5YEw/LIvjt+D6luw4xjdf2MLDrx7g65dO4n1zh/cCfUJq1uxrZ1dbjmxB87Nlu3hpVxu1yRRD6qq55cwB3LtiL8t2HWPagNF05rvZeHg/n1kwGct2+ac/reO6KUNpTDXzwVNPAwjoxWaM5v0EUmg+8MeH+Mp5l2NZySBJ3+MD69YydepUvv3tb5/ggv7vtRCk7L714r8YSBn85Uf/7kHK/wrda9++fXzqU5/iq/PPZc3Lr7Es059TBo8jbfmBpK0kp2wcoaix81RbAq2r2Jmtpse3kIkZ7HMVDU6eMVVtUeKjQAfcYo+sCl5EQRJn0nJpSmeoSaQYXtePggc/WbGBLce6GFzXxD+cOo821Y81HcYQBzhWcOj2LDpcmwbHZU8uxdL9daRtn91HVnPZ1DeRVzaeL0hYHk3pAhlHsbszhVJddOXzLN22mHGt09E6hWNpcp4kZRsQsbsnidI1CEySuadKCzn6QXKqbSmkgLQKktoCEJPzJLY09C/tSVzfJF1KNClbk7KSZCyfbs/C0wJXCZqTLgmpOFZw6HAtkpaJdjhSU20HuRaY+9bhJQm10ZPSA9twUVNWWCFZGeMl4Kp7StLtm6KNNbZLPqB89Pg2jU4uUiXTGMpYIlbDRGnBsl2b+I8XnyBpCb51yXmcM2JwYEiFogdlid34CCDpuHTkakhYLm25Dl7YtZsvnT+l5GV5pKfA8j3HePVQOxsOt7O9rYsxjfW8cugocwcP5aoJc8gpAhBl4QTG/5Yj+2jPZ5nQUl/Ca48bNgBKFF/eoTe2kgFbEqqXvY3/+D7D9fvyapar7MTrNBSP0VuN62QAirQUwvaLACW+bsXrAqyiNKhJPu+9+xKpUB1QWIqMq5IW3b+4oVF2HkVqTSzZPgA/5aCjr9a3R7jM411hXye775Nep3z/FcQMylt5P5vQr5YPnTqB9//xj/z2uivpX5XCUzZKSVqSnXjKQqJIJ3sAyOYzuMqOCj162o4KuSktSEiTYF9QdgBczChOBvNua9rMSZ4WUY5amOcRj4RYgbEGRFRHIFCxM/TWUN40BCShAlc4c1QSkAijPeX/VeBwSEgXITS+tlABta0coIT0x3hi/OXjB/OtJa/wqbPGRtQuIKbYVZoIHwEUWTQGYydaucWASrwoagmAERoQkZGuQypl0L+lpVC+LPaVGA2pGCH0S8BJMbleFY3/ckdGxaiKKulvJ4qslCw7wViI01p73aYy2py5X4YKJ2yNlNpEd31ZjCgFfSxelV77RTBPoICnteCT8yegNHxt0ToAugo+V08eSGfeoz7lYNmarnyB9/9hNU9uOkjKtnnohosZVt+IUpKcZ4C6p0wfrU5KqkmTdR0SlhtFB98yZTqff2YhXz3/TJJWHe+aOYGL7n6c9/x2NT9+09Ti/dSCtGNx0dgB4c2pcFN0r+jR3GENzB02K7qfv1u7l2e3HeYTC0bjKkV92qEhbTG1tY6prXUAXDullZd2tbPzSIGzRjfSVG3xxqkDeW7LUZbt6KIp08yAmkGs3d9GPuez6JZ5vOGeZVw7oR4nqK0WvsssiKKa75oxjQc2LOcd06eZ36Tis8Nbuew//5Mbb7yROXPmHLc/vN5eb/C/BFI+9rGPcckllzC9diht+ddo9zwkReUoiaagTaX3tOWSlB6tqS46vSQiqSPgoRGkrQIZ29COfG2R843yVUp6dHqpQGHKoTnRyTcXL2ZwbQ2ffOIFkpbNxH6DuWn2OWzrqeaVbomv4WDOocbxkQJSlsKWml3dSQ5aCY7kAlqDOkpTJkHG0aRwyXuSuqRHleOT9ST9Mnl6EjWcP/FKntv0GAvX/YRLpn8QKRQZW6GAIzmHfGDQp2yftK1IWApbaKQEpcAL3h62MNxmLUxdE61NjYKM7ZNXMqp1YsVeAp4StHkWPZbJesl5kpwv6fEkaVtFVeTDN2GXZ+Ep4zU6WEhT7xRISY+sbwMmAT6enAoghQjUeSRVlouSgowl8DGyw0npR7KljjQGT7xKdEj5kAKe3/4an1/4ILfOm8+bJ43EtkwioxA6Snwvb/eseo35wwcF9K0cqw7t4YvPLeOycYMZ2y+FCAyiF3cc4e33L6E+lWJccwND6wYwY8Bothw7xNgmh4+dcTYJSyGESz6guQjtsXzPBr6w8Ek+OGc2IxqqSjyG8WR1s35vSs+JoiwW8byG0hd8+Tbl11+So1IGRI4nWXtcozkOUKSqDFD62CbKObF075dnbL1KBowOtyvfpvyRx7aN8lrK7l8crETLTxDtiG/fF7js69zj53MygKTvE6jkda8cwQqPX24sxj3nHz9zIluOdfD+Pz7GfW+8DFclAhW/Ir0p76awhI9teTi+kWD3tRVJAgP4Qe2IMBcrBBthzonCpiWRxdeCnLKpsgsmIT+s2o4fAXilJb62ggT0osMlKGNqvhPkbqGB4nkA0TrlFNFoebCdFTOYwqhNPhBkKfg2GTtXkisTTyoPc0+k9PFxcVVQ/yTI2yrx9gcAJaJ1BRGUKO+kPNkdShXx+ny4QZ8VReBi/hOAbwNUAIQy40daqlhLxfIhoEFGxnnUV1TgQBDR/FgaTSlGT8rnj/h68XnreEClPHpyoj7d616FeT193Kf4vCGEKk4Zqqj8pTy715j2fQPa4/PnqYNbaK3Zzq3zZvH151fwkT+uBqAh7TB7cAN72rO0VCd5/OZ5DEoPwpaSbMGUPAhzEaM8KSVxLJeapCkynfeSuMpBSosLRo3l8S17uWzcQIbVV7Ho3ecz/TuP8ol54xnXmoiuTWvRJ7YluLZKQCX8TQjNyr1t/PSlnfz0pZ0lm/7+HadwwbgWs4nUzB5Sx+wh4XvH7GPeyCbSCYtLfryErGfu7OT+tXz6nHG8beYwlu7cZxy0ZZF2L4iAnjakP49v3YSUeSQ2UirGNqd578wp3HLLLSxbtgzrhCGi/3utdLz9/+3n9fa/AFKefPJJHn74YX5/zdX85OVn8XF409SzURjvfJhDIYGU5RkN/yDBPW0VoheRHVRHTUijxgFgaUXOT5CULpZjPH9uIGP6y9UvcPGYMcweNAhPCfIqiasstvWk2Z9LRLK8WU/S7VqkbEXaNtkAjqVpTeepdnw6ujbw2r6XuHbKBaQSOQ7nbbp0no371jCgdgA16cF42udo5z6W71jEyJaZ1KVqaOvZT1WiX0BHCIsoetjBJGwUdsIJLpQADOoBBH21/LNjaTytsYXGlmaftjDFrPyAOlHwRVSwLRmAoJwno2WWKFa9LyhJ0lLkfEk7DgVLkrb8oB6KOW8nHj2IRUNsYaIqjjQqZpZUgUfVSBWGFe7DZETjAQ3qG+DzlUWPcvaIUVw/ebSJHOGXAJTQ+A7pBluOdvDirv18esFMvv78Sn60fANVCZsLRrfy9YunBtV1PX6wdAv/8cJGbp03l2smzKAj183mo90c6unk/bNPw7YSCFz+tGkNh3py9Lg+nfkenti6Ba0V75wxnffNmtgrclL+4o4vi68TtnIjIPw9TjUq3yZslZNbe+eZVKJsVDqv8nMyK4VUlsAQs4v1SqDoFdaqwosx2L7Xdy1KE+ijCyq7luD3kqVa9OLuR8enNBJTfl/QokjliHlUS3fUN/2sL7DRZ96KiJH2Km1b4Tz7+q2SEVfJEKyUexCeozk/wTcvnc34bz7A2kMHGN80PNo2FAzRgSEcV4yzhMlT8aTJYUtKo7KILhZDjPfFtDRzdM43SfUJ6eEEalhhszBUF0G8zk94nTKSIC5v5VGTsh4SXU94bmGti3CsClFU9TLFGg3wTju5aG4BgjoiIWDxOdKT45drtvOdJZu5/cIJRrHL9kuASUkyvKWJstgjsKx7R090sLwcqJTRvsyycqASrhhed7DLYHyFQEUrEyGIi14QK+wb/oURhPAe9uXciP8e0bDKgEpfrS+AUnF8xZdp08NOGKWM5qRiVEUGTkCtA/lhv5h7GP6PcnJK5l5FV8GnKZPk2onDuXj0cA5ne2hMO2w5eowV+w6x5sARJvWrZ0T1ILrzVfiBBK8fKI1qBKhwfAaFUJ18NN7Cvnna4Fa+vWwZV47vj9aCflUZZg9q4uFXDzC2/7DiXCyKUaOSe32iuTe27NPnjGX6wDqWbO/k/nU7OdxjKPELtxyJQEo8V7D8/bRmXwdZT3Hq4GaW7j7MGUPNNh88YwT3rtrJnasXc/OMWVhS4ikrEmRwgjpCZwwZwLLduzlzqBG9saTPB+ZM4MFfPsoPfvADPvCBDxz3Gf9fbJq/EEg5PkT9u2n/oyAln8/zgQ98gNtvv5377rmLs0aMo6V2DJYwxjYUjetQyjbn22TsvKEdWG6UROxIr8S7rLWhCNjCx9OWkdi0XHwl+dPmTfSrcpg1aDB536bHT3K0kKbbt9mbTdLjSgpKknXNhFbwg+JGSpCwFM0pjxGZTroLWR7a/yLfOO9s2lxBQXdzrLuHRRueZu6IORzoOsDLO1aisGmqamLe2MupTlax5XAd+9peo39tf0BGKlmOpSO6Vtgdw8+uEqbKe1HoLPoQRn4FkLA0SakC0GOiUCqYLG0BBQzNy7a1kSa2NDnP7D+szOxrSEgVRFLMzrO+ARwWbhRF8SnmdIQeTikU3V4CX5iq9yEIcwKDIQRAhr5RHHRh0bXwXtxx8ZX80+MP8dOVq7ll9sTIiCjSmUJj3BgWezq6yPuK8+56mHnD+nHf9WcwZ3ATduDVuW/tTm59bB3D6qv513Pm8OyOg3z1+f+kq1AgZVvkPJ8/vPkGkk6azzz5MEeyPUxoaSZj21QnJV8+dy7zhw3Glgaa9CXZKUUxsb2SNz38PVxeHhGJK3vFf48XW4sn/5Yev7JyV3x/vQBK+NJTMXpIBYASlxuuBBb6anEwE1G+jrN9uVcYKAUfZZ9LzkX1PrcQREUGGJQabMG1l0eASgrDnUQkpWSb2OdKIKPkXlf4ra/tKh6z7ByPF/VJO5K3zxjBlff+iaZ0khumjuGaCWMZUV9fNNqCZPmEXTBRFduIeZjcjQSW8Mn6SUOTInQuGMlRX8tgu1Bim4h/X16TRGsTZQgdSnFlRRU3FvvwQlYSqQhBCCKkmBVrYYWOjdCxkAwcXI7lRsfuLdmr6SoUuOTuZ+hfneTLF0/kuun9A5CiiiClTKGrF60riqRQes6KSjir9DpLKF9FoFL8LbZyLKoSAhVhFY3aKIpo+X1UqQetZUVw0svZInQvZb2TMqFi46JP0NGHE+VkW3hfwqhKOHOqiJUskZR6uOPXaJZJ9nb0MLDaSHQnLIeWdBO+loxtrGVSy0CE0Pzw5VdZuLWbaQMaEAEtIKRyhXckrhoZHi/p5EwOlpYc6umhJhlEF5XFoZ4si3cd4ksXTC5GTyo5X6gwNx7PAQKkEpJrp7Zy7dRWvnrZGOMQjavGnaDdNHsoVY7F/asPcvu507ll7nCEcGnI2LxrzjAeWL+dHe2Czy84DYUMHBuF6D02oLqK53bsZv7wgRGdryoh+OKCadzy6U9z7bXXMmDAgBOfyOvt77b9j4KUO+64g1QqRf/n/0h3fTVDGkbgqqLn3xI6StYUGOncdi9BfaLH0IOQkYfOFBAsvmh9JfG0jS19juSqaQiUpDYe3snWo/v5x9NOI+9btLtpjhTSHC4kOJhz6CzYKMD1RSSL6euAQy1NdGP17lU8cfQVUpbmU2fMpCaRxZGKdjfNoWPruH7qabTUttLpDWP8wFlkPYkUkPUkSsPWgyuZNGhOcK6GigXGQLPRUTTFEpDXRqUr70uTu6GCeSj0nOkgfyXwNiWlIm0pLGHARkFJCjHPiJSGAZPzzUtKa4UtIYEO6q+Y/VXbPlb4MsTkqdTYbqzWgOGFg8JVEhVEeVwl6QkqWRt6h8lpgWJBNkFRnSde+yD+ecaA/lw2bhy72jtLXiCVjXPNWaOaWfmBS+hX7ZBJyIAT6+Nrxc+Wb+djf1xrzgHBxx9fggqQ3dunTeaeNesQwKYjB/jiohe4aPQQ7r9gHlWJIHlXGe66r0BrjdS9awFEqjjoEiBSiZYWX1YeEZGBkVX+uyX8yIDsbTSUcsX7esGX/BbfPu7RPA5AqQRO4kZUiUFVtn5kOCAq56ZQ7NNxrzD0AVbi16CLx4+W69Jzil7q4abE9llyEifw6saO19c6fUU/ohb7vdezqvBbpYhNief6BAAlOm0tuP28qXz49LG8dvQYX3jqVX748it8ZsFM3jJlIpaw8ZWFZfsk7HxksKcSWUN/8lQU+cgHNNowqb08FyQR5J9E0ZZwrIRPIDCMQoBgh3ltPmgZioOYud9H9jLmw4hIvE/EAQkQRVLCyuphnonWgrBukB0oKoZjw7K8KN/kxy9v5WvPbArkWmdj25iaJrIMnITAJLz9cfWu2LWWP8OolQDtaNKNrjk+jiKKV5khHv1GMMbiEUtLIbQoiXoKoVG+VTzFEHDoytHfcsdGX8VWjxd5rAjcK6wbHTOWb9LXvuItpMFF25qlIGIS1L5GC41J4QkjQMUoUhhZWbWvjTsWv8r754xHCI0dCCUoZSiKIeh786Rp3LZwEeObh2BJ49RUiKiUgB+8BxLSjd3jALxIHxTsaGtnaF1V1DfrEmlmD2riE39azZunt/LuU4f3SREumQeO41Cp1KQMr7mPflmhCaF584yBXDd9ULCkEP1mScHwhjTHcj7dXpqUVSAh3WheeHzzDl7au59PnDGLsHOHc8fZI1qZP7iRT33qU9x5550nfQ3/F5rJ+/r/L0H4l9jH30L7HwMpBw8e5Itf/CJ3XjqLrrzH4JqaiNdcCOUnNWSVhS0EqeD5JIKwtAJc5ZC0DOfREgppuVGCpUKS9x2kUNTYOXqCRLant21jfEsTrm+SQXdka9jRlURKaC+Yy691PNq1TdJSJvnbNYnkjtQo5bLp4FbeMWMBrTV1DKw6jCVMESRLKg53H2HGsLkA1Ng+h6Um61lBjgMcyxnw01rXaGqzCI0fAAxLaAq+SaS3pSas/J60TMRAAgUlDIASxahLwtJ4nllu2cbIU4CrBR2uRY9rkXF8k1ujAVvR45pIR8GXVDseVbYfRDNME2jqbBeFKQbZ5dv4WlBl+aSCytSuMpVku/1EMNGZCa/OydHtJ8j6FinpEzzKwMNKVFslyjmKgaHQCyuEDt7TxQhFuUpP6PEMJ/+RzU7AFTcGz7df3MK3Fm1DA/928XS+8PQ6Zgyq5+ktBzh/1CAe27yHRzdv5/QhA6hPOXx24bN87cLZXD/NhKJDobuQQtKXZ7HXuVEKWo7XeoEuKnO64/uqFCXpTcnoDVzidIGK59EHQCmRTO1l5YffS1+QvQqrxV6kJ2BWF42Z0OlQBlbC1iuRvq/dxXj8qBjYiYDMiZPRe51f3BjoA6BUilgd14irtM0J1i9v5VSv8H+8D7RUJxjQ0MjCsXO5f/V+/uXJV1m6Zy8/vuo0HMsAD9+3cRyT26eUhW27VNsm4dx2PVJ+noKfoMtN4/pW5GDwA0nvjO0F82/ZmI2JSChkNHYFBiCE/d8TVtGRQe9+GwIQLYpJ9ZEDBVXMgYlyS3TJvQgpbeF5lQOUdQfbuO2xV7nzzdM4d2wjTkIhLB0UXiyeTy9wUgGY9Hqux2uV6F+VmiCilUXgJDqm2Uc0NIOk+hD9h4AljCagpFkW0L4qH6+0j8fnkuhsy2sWnWSrdG+OC1DKWzCeRTk4jO8LhSU1qmChldm3VtJce2w/Wgt+uHQTn39qPZ+YN4Fb5ozB94PoSABQXN8mp5Ok7DxSJrhmwgTuXbuSt0wrJqj7URQlRodWEg8bS/r4vh3d6zOG9uOTj29lwfBWWmsTWMBPrz6TX63dyhef3sjWIzneO3cYwxvTZv9l964XUOnjnobndrzl5dv9OTSlEY1pfrNqN2Ma6+n2EtjCjBWN4rtLV1CdcPjUGXORMhAUwEj/J+wCQig+N28S8372Sz70oQ8xc+bMkz7uX3t7PSflL9v+x0DK5z73Oc455xzOHJZm1d5O/vDqHq5rmkrSMjkLPXmHo27ChANt8LUO8h1gX66O/qmOoMZGMQ8lzse2hI8jvejB7slVs/XgK6TtJOePHE9BGS/dyEw7Q9MW7W6SdR3V9E8V6JfM0+XZrD5agxCa+pRL2lbsb9vJ8u2LuHr8JGb3U0hxNMqPsaVPys4jdA9T6tro8pIczFeRiHnBPCWoSfpRschkUEsgFYvYZGyPnC+psX0OZJ1guQ6OoaM/SUBpkKYuiuub6y4Ejo1kQNdKSA2OT49robXZR9LSJJI+HQWiqJUb5J+AkTbOWMIod0mfY4Hcs9JhebWi/GdSeiSkT7eXIGV5pgq1b+MIn7TjRjkntggTbSn5D6FRH6s+HUyUw+vr+cOGPdE65TSm8urG0nEjIxvg8Y2HeMOUIXz27MloP8WafZ08tnk3/avTrNh7lP+8ag4r97bx6QVTSNqCrkIhkAos8uONUWN8Y3Eql7mGUiBSDihOJnn6ZH8vl/UMf+srqlL+e4lRUWaIhL9Jq0hhkXGKVwkvpPwkiiDA7LsMnETr6YAnHvN8x/NadKXl4SGCg8aljDkOaClrxUTj4os4BCqiwvbx+xNSs3oZXhUNqzKOfSWP558BOKJ9VAJEZcsERfAayg+ba5K9xguA7zoIqbh2aivnjGnk4h8v4/svvcqH5k4yxqqVo6tQoC5tYQX5PJ5no7Uk4eRNxEX61CW7CCt0h/VGkpZr9iE0vpK4wjZ0XAKJ3qA/OtKNaFjhPbIsD6lspApzXUrHUHlifDGOE0Zzeie/h04EjfHClEcjpVRFgGL5bD7azk33reDaqQO4bGpTEDnxDEixlCkcGAcSfw44KVeuK+mAfXWC2OpxildA/SofL2a94johyJciNn58GY0JHfbNWF8/GbphvJ+HtKQw98OcT+X9VI7mVphDjtf+nLEUJttrjUyA8sx7RvsaLVUETrSSHOzKcduT6/j9W87k1MH9UUoipQ/KRiHpKmSMEI9dwPWNut0pAweydM8u1u7fw/TWVnxkVIQ5KhYa5GUqJXE9x+QA+UXj9eOnz+Gbi1cxuqmWG6eNpcZJcfP02Zw1opXPPLmSaXc8zfiWGqYPrEOjmTW4ngvGtjC8MdP3/Y21tqzL3ct3s/lwN2OaqxjXUsPpwxuoSth9bhMuP1njeGhDmk1HuhlW1wX+QaoyBoh9/6XVpGybvV3diMCpIHRRAczcYxhaX8W7TxnNRz/6URYuXEi5BPPr7fUG/0MgZf369dx55508+46zkDLJ1AH1HMvluXP5I3zktLMBcJXEloqD+RQ5X5KxPDJWAUto8spGosk42agIX9YzmuW2KCZqWkLR7aY5VKim2vbYdGgjH5wzAyEMDcEJeNRZX5KQPguaDwLGgH7pyAAaU25Ue+RY1wFW73qZd8+9mql1x6hNHEMIjes7aASJoCbLmcOaeXTTYi4ZO5ejbhqB2b6rYLNqx59o72lj8qApeErQ7VlBhMaP6FWuNrknnjYRkqRlDICUpUwypDAAJaR4hVQuW5rSZ54StOUt0raIKF+W0DSkXDwl6CzY2CmXrGdASUirCxP105aPLTQJaSrRh5SxrG8zINWJIz1cZVNQdgRUCsoiZXmmSr2ySQUSpUnpRcUaPW1F9QugdwG2sIXRFCk0swb251+efYasm6cmaUVGWHnkQAQSoKEKFZhCVWeNbuRHS3Zx7dT+OH4t963bzj1vPJXfv7qLaycN4eyR/XnD5MHBi1tTl7YRIi6pqZAy9ISoiEMbGUll4KTcWxtfdrxWXnegEjDpFXGJX38Zhzy+zvEiKHFjoRdAKa+FEjeO4/uKGUqlRlJxnbgaUciRj28f3zbyoOoYsIiBFxHszywwkTti4CPabdn+K117OZ87/vyK13F8onafv1d4/vEXfqVjxdeLt/i1nKj18qz2sY7vW3j5JNLyaUjDR+eP5NZHNnCgw0Sjk47Pk1sOcvtFYzln+EAsYcCKG+TpOQEQcX2H6oSRLu4qZIJ5xMwRyYBKFVKrhDCyv7bwonPxlE0ikDoOr9uWHq4wRVJDT7QQGhU4oOLFbiWGHhmn/lqx8RCPmPRSxBNGqSuMxkrbY/3+Di78yWLeNXcwn794dETtkgkfLI2wg3tb3o9j519Mgoj9KEs/C6XRcU9NX92sDMSUAPqon/Q27sPk8TCqUjzH4rVrTVChXRmp3pAOd4I+X3J6MTqljp2uAbr+8TYNzqMUqBTzbiqPm5M/MY3XlcTtSZMZcMzML8JctxQaLYuUr/CeCql4Yss+prbWcuaIBgqFoqBAKpFF5SSO5eFgcmB9JSNJ7JtnnsonHv8T45pbqUr4UT5UpQiFDMBK2BSSulQVn1lwBg9u3Mx/LF7Pe2bOIGELRtUN5nfX1/HRR1/i7JGtrDvQhi0lf1h7mE898gpTW+t449SBvPfUYdh2MXIaP6avfW64dwU9BZ8zhjfx3OZOvv/iLqpTgm9cMZE5gxtI2H1Hv07mHaa1YExzNb7WtOWzfGnRY4xqbKHgS6b3b+LSsUN4ZNNOfr7mVd48eXIgdGQhtI5ydbQWfGjOBOb+5DEeeOABrrrqqj/jgf8VNyVOLjp6Mvt5vf3PgJRPfvKTvPe972V09W60Nt6zBcP788SWfVQ5WTTCaOrn6qi2i8YwgCN9MnaeHj9J0itwMFdHfaKHZAASQu398GVdCABNvZOlq5APPAcBD1mbl1hYiBDgSMFUpB9Tm8VVgpwv0Vrz+PZFvG/OAibUHaU5fSzy1NmWF708c26ejYePkHagtcYAnqOFBD0ZyYHuBHm3h/MmvwlfCVK2R7XjBx5HA04KwWSfCTzYTuyl4ykRJLcLHGkKNGakJutLLAG1jo+nBR0FC0toOgs2BWXqp1Q7PimhQBrQsrcrSU3Cw9eCtK2iPBZHGnCSlIpOzySwVtmacdXtwT12IyqFo4wh4iqLhDTc0qzvUGvnUdoAvbBejUZEURjoDVCKeS6l3PVhdXWMbWrkvvVbufmU0SUAJTQsou9BHY9I7czy+PDZQ/n28zvYdKDA3Stf5h2nDOPiqbVcOGmKkaFUpVKbcQMvXK61RikLGVTKVsqqGCUpBRbF5PdKEZBKLTzu8QBHpe9x73jp8sr5JyXrhdcsi59LIygVXk7B+iUyqOaHynUgdBGYlKgeBb9F4CQ0+nR5VKXsPGKgQ6vA6ArBSvw0wzyW+LIoQbQsolLp3oSH64MSVmlds6CCpzk6vu5ljJYbMqUKQ+UHq9AHKkV5So7fG9Sb65IoVcxFuGpKP/7pkVe5eGIj84YMRgjN2WN20pn3+ecnVlPlOFw5YRBT+jWitYVlCRKYXJJ8QKV1ZBegKHiGxuXIopKSECZJ3feLfH6BURbzfCegwBSFOIQwdBAliuBDYiKZYU6JEMVcA0MQ1pFRaUsvEtoASmihUU5AED0JAUre97jhVy/zoflD+ecLRxZzT2wVAZQQYETteMymk2E9FaeL4rgIKV99Ri2pHEmIjzmpgWCcVgBUhJGPwIAq6YexdaKPfRhI5UpQpbAp/HKSEY+y9StGbSrtM5zDyg5sV+exqwMAHJ8z7JDSamqpQNHZMbDJojPvIm2PhDCUMM9zDFVL2WS9pImkWIWAIeDy9ReeQyOY2dpKfSpHGIEvH8dKF8VpQqAihC6ZpK4YN5qV+w5w61PP8KVz55FyLJ7d1s6E5mYuHj2Wy8d6QWK+pD3Xw2NbtvPdJRt4ZX8P37l6YozyV2xr9nWyZm8Hr378PGy/1rzLhMutj63lLb9YhRQwqX8Npwyu45/PHU3StiqCq/h9DFt8Lq1J2pw6pIGOfIFJLf15x7Sp7O/qZlL/Bnytaa3J8IdXN7Hl6FHqU0nmDx/ErNZmfGEZJxlQn5F86oyxfOITn+DSSy/Fcf7/iyD+b7fX6V5/2fbfDlJeeOEFFi1axF133QV3vA8IPHvapbuQJWEXjGxd4KlPSt/kbGgRAQlX2RwtmMSsxmQ3rrLocjNU2VkSTgFbeiZ5Xlt42iJtuXQX2tnT0cbezjYG1dSZdZSh9lhWka7QlOih29XgtfPH9YvIeT45z+OckeOYUFegLtGFbXlFz6CyAs+e5tYnl/Dh0yYztqUKrRVN6TamKAtNCx15Q3eocnzyviTnmTyXjG1kgC0BCE3Ol8HL2ACTatscJyGhyVKEUr0Jqcgri0SQl9Lu2vgaqh1TKyVhqdj9MlLK1Y45frVjjPlCUGhPCmPsKS3I+pIez6LLk9Q6Po1OnjonS12g7x42M2lb5P0EPX6SnG/ucyGoKB/SwsLkWSE1eeWULI/Ll4Z5KPGcFCngvJHDeW77/gCk6JLaBVGEIDK4KVGhuu+l/dQmbXa0dbP5aAf33zQlZvyqqNBfyeAXurdtIBRCxIFL70hJSc0U2bveycm0chnQ4vF7H6N0eem6xwUnsli4saQQmtDFJPmy+1gpGb7kvwDtQ2+rKrYoBm7MTkupKsVjlW/fh3FSFmkpz3PRgaFX8nxDL218d6HR3vvMS07/uOdUYX+9lp8EhaUvcHI8T3KJYRgDuvH+GoLlMN/C9HvzPbwnKcfi3XOH8B/Pb+ast/Znf4fPtfe8TG3SZmy/DJ++eDirDhzlrhXbGZCp47yRQ3CsJK5vI8niKclnnl7EtP79EUKzp6OLm0+ZzJR+/YBiNEXaKnLqhNcaSv6qICouhcIJojBai2h9BUa0IkZfKs9TAxPliSsBmv0YZ1NcucuyjIywtI3X+5crdpGyJbdeNCyQGA7Gga2NoS8p0rXKIiPFk+jdx6KTP9kmOHFuyknOK+ViFuXbizhA0mXHjO6dKEvQL0Zu+gIvvQ5XAfhH+xaxnDEq9Pc+xk7kXDnO2CoHLxFYIZjXA5lmAaAFVUlJQSlUIFUsbQ+pJPlCivZ8NdmgpEFCuhzo6uILzy7ifbOmMbO1f/BOM4ItUR8P+qCK5YopJYMIXiDwEBQwBhNVmdHan4zj8KPla7lmwlh+vW4bXz53PjnXjoFuRU2imjdPHs9Zwwdy2S8e5yMPmaT2mQPrSDrF+1edcMj7iu1tXUxoTAX31uJrF03nKxdOZfHOo2w50s2PX97MDxbvwLEEUgpOG9bI+WOauXh8C4Pq0gipeWLTIb7+9Fb2d+YZ1pDmumkDOXVoA6OaMggBjVUJDvcU2HD4GM1Vkvp0M799ZT0v7dnP7EED+NoF86lOpDmazbNw+3buW/8apw5q4eqJQ8kkJL4P108ZzQ+3rOTuu+/m5ptv7vPZvt7+Ptt/O0i57bbb+PCHP4yMAIqZ8T/91ArOH90aedAMKBHkgxeXJXxDKwq0+hNBPorAIyE9dvc0mPyVZA+27UYvvCo7h+07NGTgfbMnsXDbTm6cNhl0GP6XuIF6E8CKvbv43YZXqU63MHvYbCY2N1JjF0wRSasHx3KDGgI+WstIW/+Zbfs4a0Qro5tq0broDU9aLoNT3exNNpB0Muw+vInm+nHkPMvQu5ShcmWCiEatY4odFpQkbSkKSqKVUfjq8SxsaUBNQZnaJmnLJ1AvxNOCo3nzCMPk+1A5zNMmib7G8SNpYFuauilaSzKWCYPnAs9SzpcMr8oyrOoo1U53SUKlUkYHOSEVjuWR9Avk/QSetiIaWCIovBiJ+QiwhR8VfwvXC6WJ49XbNQILn32dHTyxdTvXTRoZ3c+SQoVxgzugK8VfWq0NDtvbevj56m384q1Tqc1YaL9o2PVp/IWGfgwwhABJBd57HRlax498/DkgBaBS4mqlYxz3eOVALMyVKAMnRXqKWSadmGEWt1X6SEgNt4XANgs9vOGC+PkFYCauumMMHNF7vbJ2IiMrTgkzG/QucBf9RMwwi++O4xtzJ9NOBoiU5OHEl1cElKV5NEAp4II+KWCVgGscpEipkJZvjLBg7HzgjGH84MWdPLn5MNMG1GNLwQ/ePIHNh7K86SdrWfepM3jX3MFs3e/z6KuH6CnYgMAKosq3zJ7GWcPNHF7w4FtLV7N6/37ePm0CUYRT+lgYUNL7nIt1j6RQ2NKL6leYZQSAtBKA1yUR9HgtJaAEnIT3IaQjmQiiz7oDnVw0qQnLCY5jaRNBiQMUqPyWPA6YNidAZaASX16+Trnql64wFuLPv+wUTgpAiDBXDAP0y/K+gF5RyUrjp6JKXrhMl9Y5OR7ojjYXZdceAZjjbVT2tdJ4LAErIVUtuggyKcHRbpecyiMK9fTkqmjP15Cy8yQtN6q/Y0ufofUWrdUpZrb2J2EXosT60IYpPayOnIbmUL2LYEIgVyxgYksdj272WX3gIOObmrGlRfgEoohrkIc1sKaa31y3gC8/t4Y3/3w5eU9x3phmLhnfn4vH92NMcxUfOnMEt/xuDYtumYfvOrExJTljWDOnD22hOZNk05FOzh3Vn5zv8fz2Q/xm1X4+9tArTB5Qw+yhddy7Yi+fOGsUMwbW8+r+bt77W6OaOaIhw4T+NSzZcZTzRvdner8BPLPzNeYPmcSMAYNYvGsfswY205ixcH1NYzrJtRPGcc34sazav4fPLXyZKf3recvUkVjS5iPjWrj99tu58cYbSSQSx3no/wfaXyiS8ucot/0tt/9WkLJw4UJWrlzJ7373O9S/vQsoJnY2pZMMqctwuKebhmQtlvBJWy49frFcYF7ZdHsa2/HJWC4dboqk5dLpptEI8soMPtt20drD8R0sYSaUrNfJ717Zwq3z5pbwmUP6AMC6g/tZtHMXHz7zSjq8JNWWR7WdJ2MVcKRP0irgWG7spW8S8x94dSer9x/j1vlTCek3YYjPEorGRA9DM2munLKAJzc8S2e+g1H9TyFbyEKiCl8JPCVIWpK07ZOSOiqW6CpBMvCwi2CZH5xvQhq1rMN5JwInQgSSyToojhib3A3ok1HOieeX1kaxA7oXwIjqHKOrjlITRI7C6IcKciZkAMSUiOVQBGAjE3hBAcKYChj6l6F4FA2U0ODwtGVkQgMln8M9nZx/9684f9RQ3jBpWOD5LRoZJo/C5KLEKz3H1XbOn9jAU/9wClNba6lK2KVJ18cBKiXUHt+KGTsyFu2oDByO5w0/2dZXLsoJP8fASfxaioAuBk7CZFKC+xYCE6GLntyTOtny/7HzqkT/6oOSYpaJ3utrehkbuszbGwKVXjkswU50bPtQ6agizasPWsxxW1/PtQ/wW2l5NH7KkodPaGQel6pm+mvcSC/S+1SUJB3P42qssvn4/NF84an1PPues5g2oIGCr/jEucO5+6U9LNvRzuDJVQxvTvCuOUPI5TJ4yibp5Mi7qWKSMZB04ONnTOPJLbv5jyUr+OSZ08xZBQCpfKwUjbXgvHWRfmlLz4iN6CLgilS6YnS2EJz0uHmW7z1EW76HgbVpqhOSne3dpBzJBWNaELI4RoRUyECxK2FDR94rBSiO+d8X+I5aaH/6ou91wlYOVsqjMkH+xMkk0kctxER99ZmTMXDKx014/PKoZF/RohPst2RRJSdGX638t9h8V6Kudpzj9dpXAPpK5iABs4ZXM6Zfmh8t38J7ppxCdaaTvJ8IlDYLpGwDhjcdPcJdq9YzvbVf5FgKKVyV+jUUac4q6N+V7kO83TJrMp9buAQoLbYZbyFQGdPYyE+vOgutNesPHeXxLbv4zvM7+OhD63nr9KHYtsYSxdyP8NgR5Qw4d9QAHt64j3+YOwGAma3N/OPp42nL5Xh88z6e33GYP7x9DqcONgUczx4umDmwgbzvk/cU2472cMW4Iaw/0MH01hYe3LiN2a0pBtYmuP3sBfzHkqXMGdzCRaOHR/Q5KeGUQQOZO7SFJbv28NE/LeNt08ZwxbhhfGdrGz/5yU+45ZZb+n6e/weaKe7wF5Ag/gvs42+h/beBFK01t912Gx/72MfwvvZehDCD+dVD7SzasY+Xdh/id6/s4FiuwMzWZk4dNJRrJ51JtV3A1VZE+SoE3vqU5dLlJeh00+R8m6T0sIVvPHWWjx+Ea/O+w+aj+7lv/VI+deZsmjJpVPCSCJWaLGGoUQ9tXMfbZ12Gpy0GJHuixG9LKKrsLEk7H9GNjMfa49+e38Cg2hSfP3cKoKMoCpgE0Cqnh4TlMko5NDhpGqfN49ern+GxtXeRSdaRtKuZM/J8ckg8rfEU5CyTlxICFTuYWEPJXi+IMkkBKIVC0OXaSKHJ2H60niWCnK3A+5+Upt5KVcLIGSsFSUuRsVRUnb464ZKxPAalOuhffRighOsdgRSpcH2HguegkBSUHd1Lx/LwVJF7Hiach9ESW5qISsE32/jaJCAmpDGgbOGRdgSuUtw4bSyNGQcZRGYiYBIYWGGyd8kLK5r4BaePqjOeDKWJkqOlyTUpVUWKRWfiL5jYb3GeR1+ApIRuFS37c7geJwdMSr6Hhmel9cLzt1QpOInuV/Bf9kGbqBg9oYKhpYNoSh+5KeX0lQqRmjC5NWo68KBGHtni+pWASum+eoMViEVXyi3Avoy7CkbEiah8x1XxCgy8voyyE0Vj+gLVYSXt+HphodN43w7Xj8ZCeJ7B83nXrFF8b/EO7luzlykDq3j6taO8+ZQBvOeMQdzxzA6ummCKsFmWj+MUsJSHbbt4voPrOyhfkrTz5v4KOH/0IPZ1tfPSngOcMrA1uAU6AithRDp+X8Nzlpg8OqUkFj4qeMgSRdbzcCyJZRUpbZbwyfseY775GzKOxeT+deztyNLtegxvyHCwK09V0uL3b5/Fuv1d/Gb1Xt4+ZyDnT2hEWIrLpjTzlrvWccd1o0g4IgIqWARUKHrnmZQv+zOcEX22kwUqZf3gvwJQTiraUp53Ukb7+nNauaDGcVvZWBAV5ozeBzhJsFM2H4X5ckLC5y8fwdt+9gpvnzKG2oRDys6b3FGpTO6UUty5aj1fOm8WtnRQ2o36syV8fIpjMf6eCKlf8ULA5X0+3qqTFmcNH8TaA4ejOllxpyqArywzH8bmpEktzUxqaeYjc2ewcv8hfvTyq6zaf5SfXHsKyitV84of07EkDWmHgq9IWGFtD0VDOsn104dww0xTG0X7xePPHdYIwLEel9OHtuBQxRXjPT788EoSloWrLBwJjmUzpqmZnkIxqhsyZsL/pw9tZc6gfty16jUe2LCDm4fU8a//+q+8853vJJVK9f1cX29/V+2/DaQ8//zzrFu3jkceeYTCV96NUpKFW/ezcNs+drR3sqO9i+unDWN8vyruXL6TVw4d4K12ga4wKTN0ZEGQ92BoUftz1WQsl5TlkbYLUXEuk+QsySuHryx6hivHDyTj2GitOdidJ2lnWLZnN3XJBMv27GJvZzdzB48maVkIPAamj5L1k0g0juVRlewhGdQNMC9Fjy89u44FI/ozf0QzQrjRMcOXruMUsG0X10swAE2VneGxDeuoTya5aO51eNpmzd4tvLj5Ec4Yc5EpQCkEuYLEd0wtlFDdK6wZACYiUlAm56bG1tQ5HkdsG1MfRZCSptpzxvLJepp2ZWNjwInWgjrHp8czsn9JqalxTIQjbSmaE1nqnSxN6XZsy8X37VLPZUyGVylJQTkR6FBaYAtDwyuZfAk9SAIrSDoP6RgqAigetvSjv4Z0kvfOmsqnn1rMktGXIAPwKUMeeeABDmsWxCMBJUmSMsxzCChA4TkFRltIfQmbVhIRU6UpMejCqxBhBPBEBmVlKtjJtL7oYr32VQasomUxEBJtJ2N5O2Wg7mTrPYT70lL0llIVVPZshsvK6SvxbalkeMTAS3zFsuhKRbpXmdJR8dzLDxEsKJc3FsYuLV/fKCLFrqtCOx4mLVcUMxv0EWE5kUFXYbuT6i+Ajp9D6OH1LBLS4VPzpnD7wrXc8cbR3PyLV5gzdA83zR3Et5/dzU9e2snNp4wEyyeRyOMHkUbHLpBzU+S8JHboUAgoWzdOG80nHl/KjAHN2JbFxsNt/Gj5Bhxbce7oFi4bNwg/cFiENF2I1R8KFPayhQLff2kND7+2na3HOmhKpzh1cD92dXSxYFgrnzxzKpkEzBrUyDWTBvKB00YhgjlDWApP+XzioQ1M+fdnacw4XDejlTffs5Kfv20Kl0xuYv6YOpqqHH6x7ADvPGuAeRtaFEFDHAdGUYbej6VE3Sv+jGLg/v+H/tELpMcfcTlA7uM4FftTJXBdtt5xc6OOR/mqtE1fEZKK+z/BOsebY0Ufn8vno+C3kS0pOvM+WauLVL4VX1s4soc/bt7Kqn3H6Cn4XD1xCElborVRj/OwDX08eMaleY69nVeVQAoU+7yp/yO5YsIwVh04yK6OdobW1YIiAutg3sGudkqltmNUsOn9+/G9y1oi4QjPK4rOxI8fns91U4bwjRfWc+uCSUXqpVRYjrFvQpGOEpEFobnp/uU8vfUgu//pChwyfOasKVx2z1O8fdoRBtXV8q2lL9OvqooLR43B9aXJGxM+nraj6wCwLbj5lAkc7Orm20vXYVkWd999N+95z3v6fr5/5e31xPm/bBNalzNS/zLt8ssvZ+/evVxa61GdcNjfmeVwT47bz53G5O88xF3XzeCCsf1QvsV3XtzC4u2d/PuFl7Ctq5/JNbEN+FAaevwE1XYBSyhe66rHkZo6u8DgdBsDag+QTObwfYuunloO9DRxx4tPcuO0Vn73yi5cpalK1HK4J8v0AQPR2mPOoFYaM420uRkKymJGv9fQWtKerQWgPtMW1QoAkxj9nSUbGdNcxSXjWqMJUgeh3jhQCb8DPLmpi/WHDnH2mPPJKZtOz2FXT4p1+7awdNsLXD3jbdSl4FjOIWGpqJBjle2TthS+LjrXCgFtqzlRoNu32NmTMrksXp6Xti0i72YZ29jA0t2vMahpGlMGz2FAuoCvBa3pPEfyCTo9K9q3qwQtyTxD0h3YwtQ/qE514vs2luURr7eQK6Qp+An8WOK5p218JbGkKfIIxQhVPIlQY4BMSPkKq1ZXOVlzv4LJVUrFux74E9Nb6/nnsybgOAWT4BrSuwJqVxQNsGL/zY4iaUntC6PiEn7WZrnypXlmQaXkSgZ/NDHrYqg88iSeJK/6LwlSeud6lBZWC7eJR07MMnpHT8oBSjz3RIbAhpKXbvm9KQEqfV1mpdsUXzfknPfpCQ7+hfKrfbX4ehV/r0CX+HO9wSd45hVnzwrH6LPvnKTXO9o+7JNhPy5r8WhbmCCutUC5pvCp5XhRhMXtSZtaKChue3INP/t/7J13nNzUufe/R9LM7Mz25rLuvfcGxvTeIXRI6C30noQACS2QQCC0QKgJkAChd9OrARts4957W3vt9fbdKdJ5/1AZSaOZ3QXfe3Pvy/P5zO6MdHR0dHTK83vqnDX8fGJ3np9dzQMnDqWiQOOUJxey8da9yQsLjJSCTKmk2iK0tBQgpaC2tZSImkAgCWsJJ1HboprtPPbdCqb26sbXG7Zx50HjiIXhlSVrqGlOcOGkoRiG6qyVaZNZc31oTRqc8eontCSTXDR5OJN7VLCito7Zm3dQVRjjgW+WIIHyWJiv1tcwvEshMy/dy2POJVQDicEXq+oYXVVASSzEq/O2cu4/l/LepWOZ1LeIp7/Zwp3vr+X7WyeQFxMQIr3o+sGnI/Hw/bbJLu9+pwYZTGwgw2qQOUd893DmQ9D8aAcIZwUp9leZvmfGWPVpUvygKUPTZ69lSnos+u9nH3fGa5APSkA9HqGIew30a3Nz+dW5iiYSkpMfX0xFLMTDx42iflsly3fU8/C3CzhxdA+m9alEFZozVm1Q7dkXEJ5w2W6trTssi9uZ3l3WPR6EkLQkE9zyyTz+cOAUdNcccR7P1iQqulOP4Qr3b++pqppKl7Ui2/nbDvDot6sY3bWYKb1Msy4tlERRTQGntKLz2R/bv2v+pmb2fOwjQqpg7ZWnYMgQvf78D0rywhwzdDBJ3eD3++5J0jBzJoXVBEJIUkZaLq6QDohj98UdX8zlvZ1JlixZgqL87zJ3amhooLi4mBVXnEBh5MdHKWuMJxn0lxepr6+nqKhoF7Twfyf9l2hSli5dygcffMCiRYto/ctVNCVS7GiOs2DbTv7y9RKaEil271sKmExXRFNoTaWI62FiVmjhpKEQN8zoFmHLBMuQgm6RVlQh2ZaI0k2qJFIRFMUgkYywrcVURQ4qy6chrnLF7vuQp8VJ6hopqTnx9uN6yNHYDCraQjgcJ5kMUxhpQtOSlo+LsCT/Bn/8fAlDusY4YmQFdjhjM2mW4ahT3UydHYv/0Tnfcvv+e9CnZAPbW0pZ21xGvqYzsHIgKT3JJ0tfZlyvKXQr6Y2mSErDKWKqbgIJyx8jrqs062ZUr0KrXWFF0jvWwnvLZlPdsIUjhk1hcLFgzrYGDh1xJJ+s/IaI5YRfEk7RkNRMwaCQVn4WSauukZIKmtAJqykzQIBioKpmCEfDkJYkJoQuzURuISVJXDed2jSRIiHzMAzhJHcDLE1U0nqHZvheO8y0sM65F1h7EV6wtYavN27h/iPHomlmSEhFs31QXCZezvfcY9AMN2kxw7qL4RbSCeOaNfGYfR438xRsd+wnj5YmwDzMvke2jT0IlHjK+CV0Lr8Td2ZswHGMTxe2nYK9G3hQJCNhuI4B2KkuPFJj34PJgGPufcavkfBLVl35UJxnC3JwdyTAIt3+QMBkCxNcDGJA3pZclBF9zHetm6ny2PRDhtmM51I/cxnQHrcpW84x4zmYBt6Ods0AXVdNxUDI9KvTEyFHK6JpOncdNZgjxhVx4pPzOWV8dy54bjH/PncU3Ysi/O6dVfzx2AGokRRSMzB0hVAoQSIRQRPmup1nrRsAqqoztqqIB46YwDcb6hjZvTdCFhJPGJw0ujd/+nwpi2q2M7pbqTO37ISUhgHzt9Zy00dzSegGr5y2FwVWArruxRXs3d9c448a3pU3lmykKZnkpgMG0qMkDyWUSgsz7P8C9h5a7Lygn02oZOm2Zi57cRlfXz+O03brwt++3MTNr63jjlP7uvqRTDPHbEPFBjWO2Vawxsu/Hjjv1PDV0xnya1Hse3dCCusGKHa7zOOZgMcd5c8f5MG53gMYsnx3U6DZ6Y8AKPbzBPqceX+e/8wy1u9o46GTB2GkFOpTO3hw1kLuP2os0ZCKNBTLfNqMoGf7YNmA2k6mqloRHk3TJm8ZsHyzXCpXd8Q72wTS/l6gqBTlhWiMx4mFvMkbM/raAjnCJS1x/EldofQVJQ0y/EK308f24/cfL2C33hWmcNYlCHEDJCfCphSMrirgjweN51fvz+Hctz7kwYOPBqCuLcENe01FlwohJeEEEHADI90O6y9Mga4delxRDK6aOoaXX/iUN998k6OPPjrz/f1E/9/RfwlI+fOf/8ypp55K4WM3UJgfo0s+DCiTjOpWwsPfLkUABWFTIiGEZFBljAe+Wk1Ma3Mk8bpUyJMpJ6dJwtCIqXHihkaBFqdX/nbiepikHiJsxElZ5gPNqTDHDBvNE3O/pCHezCGDemNIhZSlGDEjwmiEFINitZXy4hqkFEQibUTzm8x8GtZkaognuPHDBZw+oReTe5c4sb2lITwSQHPie2OlG4bK48fszoMzF1MZLeQXY4YTVeMUh8rYHIpRFRvA3n178+rCz1m7YwUDu4ymqmsBEoWmpML2lE6eJnhz6fe0JhNM6zuMcLiMijwwkjt5Zu5HTOk9ljNGj2RQ8RbaUhEGlYS5c8bXaLKFWcueo01UcurYPSkNpahJhJ31vSwUp3e0kahqZohvSUUoijSSSoUIhRLouuqYY7Qmo06/OWZfLjtZQ3qz7UohsPMhRNSEY7JmSEFI1QlrCVoSMddGKHlszjyeW7Cc8yYOoEdxCDWUMAGKpjvaE3e4XCC7KVEACSFdUZ785lxkAgMAW+pkaY+ER+qY3SQiq0+Jz9zGVpt7c4QEc8RucBKU4d0OJJBTc2I/mKNFcdVtgxEhLXt8kd3sy23KYpObyQoK2WqT4ivv5yH8zL0bRHkkyvb93H0acD+7mEvb5qecIAR7zARdJ7z3xycFBo8DP/DDQIvVBn9+imz5UtyaNnss6MmwKTjRUmbGcUMllQgjpUDTUmiRBELT2W9QOZfs05O1O1r5xbg+HP/YAub8ajL7PzCHgjzBbw7vRThPISQkRjJEU0shCSNkZpqXpmOsZqRc7RTs1qscTUsiRB3NzYUkEhGu3HMAl70xn4eOGYOC6sxHw1C47+sl/HnGYs6bOICr9xxMUQTSCDn9/EUa/HxCDydql1CkZ80INGvEHEen7daVW95ZS1KXhMOC+08byH53zeO20/qgiuCxHwjIoX2A4aor0y8qoHy2+0obGFgHpY85J8u86CgFjFU/MHabk5q/c7Xb1oy0g7o6FMVL5v7tIqkLZFJFyUt5NV+WpljqglRK8u/vtjFrdSPTF9Uy93cT6BaNkmxQ6FGZojRfJT8PjFQahNkfZ98zVKR0RdETXj8RsEGKS0viev+2wNQuaweJsYHNsMpSFtc0MqF7vrPv2r4c7nulDM2MEEYasLi/23xJPK4RibRa9zJIpTRHKxRWFUKKSn2rQWEkjBAGipEGVzYYswGO/Tlz3GA+X1PP20tXcZH+JlN79eWrDWt5a/kCDhs8zFwPlBSKFSLHCaJhARcFE1zZPIPUBaoiOGtgN+66667/tSDlJ3OvXUu7HKTU1tby7LPP8u2338KztzvHpRTkaSGOGNybe2Ysoa5VpzRqToRR3Qupbmzlug8+5sKJE+hZXOE4YqsW41asNNGWitA1r950TtcSRA2NRCrM1sYuxHVzsywLNxM38hlVWWVOEGGQF2ojL9RGIhWmORlFSkFxuJmCcHOGVOHt5Rt5a8lWSqMhkobBb/cfSI/SCGBYG7zixFQHexLbSfnM77YTf1FE5YZ9RvPhqi1c/9EMLp8ykiGlTQy3pBstiRiTykbx8UadL9YvZva6HUipoxtx2hJtFETC7DlgD0KhKHM2LWXN9k2EtTD5IcGhIw7j+L5byQutR0pB99IdKKrOLfv25aHvGlhal0S07qAxHkeXpmlYn1grBZoZzjms6BYgFETVBEkrwVprPOZEALGTtinCMEMOG2knPIkgoiZpszQrdmLGPDXuABrDUMxgAMLMJG0YCvFkhFi4xZEkPf79fJ6cu4xr9xzKKWN7oEXiKJqOolkRvewwuZqRXYXvd4q0tSjC0t8oEmGZXDgJ9gI2FWesum/hAitO/QHj3tk4ApnMjjnSZwNOHvMJW5PSAbOu9DVk+J3kZB4CJMEOqLE1LJBmsrw+3N7M2v7nCjifYUIWxNz7mDVPfe11rwMAMk9l18LkqFtm94HxlPFrWToBWsxr2gHftmN8gJTe9uGyTR2VUBJFNUjFw05/qKqOGk6ghEwfjhOfnMcbC7bz15OGcuYeXXlz6Wa+29jA+5eN44iH5vGXTzbw9XUTGVRaiBJKEgnFqdASbG2uIKQkiWhx00zTWt9sKXIqlTZ9UNUU4YjkvN16c+MHi7n94KEIVBTgi7U13Pf1Et4/ay9GVxVaz5h0tJ72fzdoVzTdCQJhalBcmlafOaNtUrUzniQ/rCLC5jVjB0YpyFP4aFEdB40v9WpQ7LGdLWywn5yoXwHHDDLnjr9ORysjvWaR1nEPUAHP2M0Idx2gAbHJAdm+cQresWqvm27QkQtQ22XSz5YbpASZd/mfp8MkzPksQknnu9QFRouGUmBqEFHghtfW8NJ3NRw4spSXLxtOVWUYo1mihE0wHE8ZNCeS5EekR6tgaxZsIaRtTgU4Wgu/L4rNsNppEmzhZjZzWlubsm//Ch74ehlTelYgDBPAGxa7b7+DZMr0TdFdQWs0JeUE+zHrTPtSmoLHlKU9TaHr6Xd55NCevLVsEyeP6gcoTqLV9HtyrS3WuqPrGg8fuQdnvhrnvRUbnfP3fvM9n61fz90H7k9cj6HabcFymhcCaZjBgFTFwB/F79TRQ/jLU28we/ZsJkyY0Lkx8B9A7rXvx9bzE/0XgJSnn36aSZMmMXLkSGpEpolCv9ICJvYo46b3l/DA0aNBSCoLwnx50TTu/XI157z+Fq+cfCL54ZgTe7wuXs/31euoKsxnUg/LblJLohpmluFIKI5hKLSlIjQk8gkpKb7ZtI1DBvTEkIoHnETUBAXhFjQlRVFBHWAtDmqCuz5fQXl+iEdPGo5tDmm238xU60bINoOgSOEAFcAx93IzDQcM6M7Eqgru/2YJrUmdsmgeQ8pLOXBAf4rDTRzTX7B/z34I0ZeXFi2iMG8AT839jCv2PoEu+XnoUrB39zGs3dmVL9et5twJkxEkSOghKku2WrkPdBZubmbhxjbW7NjK3w4fxoItRdz33YecOfEgtrbl0T0vnaDRzmFiSBNsCCFpTUSdxcJmOqQ0HfZVYaCoSXQrNrxuLbYRNWll1jUjnRjSzBitKSkMzLL2whnW4kipoFsSnM/XrefuLxfy1pl7MKFXkZXHwbInt7UomovhcDHZDrmdpG1w4iM7h4awJVE2w403qZinTpvxs+tQ0wkb/RJsvz+JH5QE+pkELUAB0kePuYN9XPFF7ML13X3c1iAEaU78TJLbNCJIIuvWkNj/g9ZhI5hp9jymS9Lo3N++b5DE2q1hcYEVp74AZiYoRHFWcur0c2v4wIjrvKtvAnOhZGjO/No3cjNwWUy8zGszGZwgs0DTF0VzAIrdPimFA1DUvKRjGpUXMl/EHr0q0DR48PhhnPHPBXx77RRW3bo7pz21iCdmbOaPRw8iXNRKaUEbzTWlFCWbHZt4m1Ez2+E2gTE8Nv1TBuSzraWY15du5tjhZhSh15du4LRxPRnbO4qiJtLmRCFTAyRCKadvbaDu5PvB7M8Mc0aFtDmjRWMHxOhVFuahjzZz5WE9CKFw2cE9+OPrG0yQAs44T6QMwpqSPhZE7vHrSO+lR0tqlhMZ19jZ7B3g7o7y5TaL9AthPKDGJxTwjKvgkN+eCHtucoEWe4z6A0MI1ciuvfaN6ZwakiyU1VwsWxkIFECY+7pELUyawRh0QSJl8PAnm/n012MY37/A1LwkQIQMlKRBMiFYs7OZX727iPuPGYGqqGbV1vqvSmEC5XiaqTbnU1rb5yRNBZeARKJK3TJpVBzzRqedrrVfUXQq8sMkDTuEfwoUU2vi9g2x/Th06fIbQVgJp01gBIYTDMeeezaPYvMpUgom9Szm+flrOHlUP0fj4W6bbVnhnt+KYhBSdZ44+gDOfO19Plu7mRW/2o+QBkc++S2Xv/c+jxw5DUMvoK6tiJjWRtJK8AyQkhpCJlEETi42VegURcKceuqpPPbYY/8rQcpPtGtpl4IUKSWPPvoo119/PVt/dRpC2JMwHUs8rBlcMXUYZ7/yNaeP78Wk3iUIIRnWLZ9HfjaS4/8xl4vffovzJoykJBrmse8W8tHqzYzsVsiSbY18eNaB9Ck0NzXb4UoRBklp+k6ElRSqYnDc8BG8uXQhU3pWIqUgprU5YfAUxSAv3IoaSmKkNIRicO9XKxjcLcrPRnfFzQE5C7RqIKQw+TN7chtKWqKnmFnobftqP5VEQ9yw91gMQ1DbmuSVxWt4cdESDujfgy4FUcd5vLpxK4cOrOLbDXksrZ7DF811gE5+OMKSmloumTKC4ZWrrIUmhaKlWF0T58Gv1tGjKErfogiHDuyDohhsaDQYUtGVslAbRVqCsGIupDY4UYRBVEuaIT6TZsi/sBWFI5EKe9XWCAyZDq0YsRzhkkaIqBa36jWBiqrqZiQPNCfhlSbSi7huqGxr2cEv3/yKe48axcQ+BSiq6dCrhM1oXo5EVJWOVCxwzCnCK7X0MAdeaaEJVNIbvr2JeSt0gRbDK2S37XHd0cDaJb900P7tZ9Rd5wJNumymLBs4gUyA4gcnpH+3G0Y1SKtjR/jyAxQ/4CHNfOUiN5ixpZwZdbrNaILAShDJ9HjJZeqVcZlHo+O7hwewBGtR3OYvHmm2+38W0zCwmELP7+wPaQMRz2/wmuTYAMkpKxzzKCWUcjQo9nM9dfowSgpUJt47g34Vebx6yUgumNKPAx6YzbuXjeHqA3px8APzKM/XuGLvvoRDppNtYbSB7U0VJFJhy7Qr6WFkFM2c+8mWQvIiLeZ6klI5fGQFV7yyhOPHdEUaCpoqyQsLS1BhmN1vaRMcYYFbS6i6/NXAfF8WIPGMdzcIt4bZg2cO5Kh7FnHslHL6VuZxwcRe/OnNjcxb28SSza1c/vgqGlt1krpk+g0j2X90ie8FgOOHkvUlBQgnbHKPdxew94QjhqzjNij0trdx6eszE6q6SqrecelO0OqAlSAwnQVgZ2hG/EDNP6azaU86qlXxTxG/xsh+FsPcU2Yur6coqjKuX76ZFwf47StraE4Y6CnJjgadaQNLWFrdzEWvLuCCPXoxsVdxukJrPKpSYKQ0VC1lWla413FV967zFrAxdBPwCMsXLG06lfZtsUlVU3QtDLG5eQd9SgodDYwbkNiJJAGPBseJrunkKDIcUOS+j1dYJOhRHGNjQxM9iwoc7acZGUwHyzLCBjx2+yORVgyp8NhR0zj0mXf524yN/P7QAbxz3kSOemI257z+OU8cM42KWIrmRL5j6uVupy3wVBFIIQiJJD9r3cgJr33B3XffTUFBQfC7/w+ln8y9di3tUpAyY8YMqqurOe6442hY8C6QBihpXw2FffpWMaGqjC/W7qA4pjKkSwwhBKoCT5w8ivu/WMttn3/DztYkZ0/uTd8uPcmPKGxpbKOhNYQo8kbE0KUdXaqVV5atZsHWbfQqLuCCicPMHCpSJRpqRVVTjkRAVc0kXgiJGkpy4bQe/Pad5Rw/vtIjeZI2YyhN5laxFh2pp1XAfslm2nEuvYOlB5xCaV4eZ48byoerN/L8wlVsa24FBJoqadUTfLzuex45dhhzNjUypLIneWFJQzxJLFRJYR4oajNGSkPRUmytDXHzh/P548ETqCgQJJNhayGJ8836dRw0ZKpp3mVx8vlWWGVH8kk6xLANPOxnMSUylkmJZQTlOL9J1TLtSnNpSV1D1XTnGts5Pt0HZvI3SRsXvvklx43qzqnju5uLumqYTJNmZDDZjvTfTx5fCJe0Udibmul/YjOSwpY6WuFn3YDFaaPruwgw7cjF6wap7jPK+CWN/hoDtCnuRIztak/cWic/s2b/DwAVHspl0pLL1ySI2vP5CHjeDMDir6ezZiBOHUHIIFvDfIyVD7B4nfutw1kAS/p8Fq2OnymUmec8TRMyU1sXxNwJmc4tZIFcVbEi5mmGB6AgIBSGB08ezLnTqjjticXsdvsc7j9xMK2ikt+/tYYXLxjB+5eP4fSnlvDtukZeOm8UoWgbba0xwkqSpBGipS2faKSFUCjhtNU2kc2LtKDrGkYyBDKFFtIZ06uAp77bwM8nVNGjNMz3mxodU8+gBJcZuX58mhOH6Xb7WSmk35/1fa+RxZy8Wxcufmolb103gtIKlUHdoqypbuPeNzdR25QWqhxy20KSL01r34fEPW+yzYkcdWQAFU99mWuV0x8+csahf9xmLZ8W5piFJBlalyznvJUHCzs87zGHVjMbQNlVtHhLM6c/toyf79EVYXE+KSlJ6ZK//GIAMikgYUaGvOLfK/jT0YO4/9MNvLFwK9cd2JfCcMgZa2oo5QAwRdVNAOKOFCmkx+RSuPpBCgm67ZRvvmRbgwJpwHHAwC58vGYzZ48f7BxzzL0sjYlTtyWwBdOsCmnzXtLhQ2wfFcMI1tAeN7wvLy9axxVTh6EoujlXDdWp3+bf3PdMpUJEwm0oIsyTx+7F4c++x7iehRwztoK3z5vAkY/P5urp3/Dg4VNRU3mE1CSJVNgJwGNaaehOTjV7DozqWs6gQYN4/vnnOffcc/9LxsNP9L+DdilIefzxx/nZgG7U3XQ+7uhxXrUmrKlt4psN20mR5HfvL+O5n4/jqJFdEEJSXqhw82H9+f3hfWlLGfzmzeU8+vVG9h1USkNbioU1WyjNTzCsawykSioVQrGyNT42ZxHDKyo4a9w4VNVkslUlSUhNEg63oaq6M8lUS9phR5EqDAliEcWyZ3Yt0PYXXbHZdGRKzVio3cxWGkkb+PNr2JE8pBQcPKgHhwzunl4ASHD527MZXRXjindnc8LoKsqLoyAk+VENQ1fNvCEWJdryeHXhNk4Z3Z/yfFMaY+Yy0NnRKNjW0kKvQg1VJLGTK4YUM5t8wgiZAQWk5qiU7chbjnOgb6dVLFBn+9w4wFOakUtUxUiroV0brg2I7KSYd86YTVxP8acjh3jNuzQDETKCmQ03uZlBa8F2frtstu3vNsOYMzt5QKQaSQCz6Td9UIJNxhzw0YkN123OZf62T7ik5NbvTmtPFFddbrMTt0mYu6lBtvO5GBR/mWz9lgts2lX4+qxd0BJELiDh/PY75uMtk5OB8zTQPimyXp+hlelI/Vn6NiORpY/x8zN3nv7LkEintQ/+aEn2OB7bq4BFt0zinQU7OPupZVxzcC+e+nozO9sSTOhbyDnTujNjZT0IUKNJ8vJaMQyV+tYiDBkmYsQ9ghuhmCuJGkoiEpa2WVcxUgrn7t6DT1fu5Lo3ltGaMnh78TYaEgmKY6rVPv8z4gXkLk2oJ0qdW7DhmhPOdwl3ntyXUb+Zze2vbuD6Y3pRnK/S0Krz7o0jaGzV6V0RYcRls1mxpS3dgf5oX/5XGmT61R65wIgjfLPnqB+oOO1IC2Q8JNN9FWTKlTEnIGMs2WMy63ju4Jrmvj4r4My4SGY/HyAYyCDbj8d9mTUWHv2kmr2HlXDHyX2cfr3i2ZVsqU1w7T9XoykKISHQFMG8zQ00ppJcc1AvVm9v5brXl3PIsAqOHl2BQAHNQJEWkHVrLN1td89Hy9zYHs8KOEFl0jyDN9/Ymp2tZh43y99VCNPR3NToB5t9ZnSHL8y3P5wxpPfxHoWFbKxvtaKZuYMEKC6neTdIMSxfHNMPbWT3PO47bDIXvDKLLkWT2GNAIS+eNZZp983kjzO+5+rdxoEMo4VTiKTZ5rZUBEVIJ9dS+p0JTqrQeOyvD/2vAyk/aVJ2Le0ykNLW1sarr77KC0fv7hzzIvh0h8d1nbhuMHtjPV0LIjQnU85EtmlrY4Iznl3AV2vrAHj2zJHc9NYqnlu4gls/nUeeprBnv3LGdS9lbPdSivPCbGyoZ0qvYj5ct5yUNIgnNOJGnC1NTWxqbGFrU5xf7defqX3KzXZpOlJXUMI6SaFT35rCkBLF7wisi2CJppX4z35GZ1GSwrUYpLmzNEAJ5rB0AwwDxnQvoTimsmBzo7mZ6yYYk1IQDpumVclkmLmbmlhZu5Pzdh+IlIbDECyvaeUPn6zmwkl7k6+1IRFowvQRcUvu7bwnmmKYPieW30hKNwGMIk3zOFut7GhVDM3JiOsGoBEtboUytoGUgpCWTa3VR/9asJzn56/js0smE4vB12trUVTJ1CEFoEmv/bjNbHhehvBu3HY5A0faGARUzPflM8OxzcDcDKz7/brMvRzTJNUnVYSspmi5Ng8P+UGJu263+Y7923w0L7Nm/fe0xQ/wXFI+D9OWs21kAhU/ZTPh8EuF3fV1Quoc1I8ZzvdB1/odksELVjzlszNwGdfbXzOmsU/6TAe0JwHMWzaywYnnmH98+ICut3U+gOKccDOjaRPIw0aXc/ae3Vm+tYVpA4u5/e313H3iACb3L+T3b67l0n8v46Yj+lBepIKQtCajZrh3Q0OzHIvtNqmRBEZKTfumpEImeAnp7Du4lH0Hl/LlyjpemltNXiQdTjtYg0jGeHeAbDbtiXNd+ntJkcbLVw3nuHsWU1kUYvHGFnqWRSgrDFFWGGJDTZzXfzuctrhvTvmBiptklnKdVA54THHsujxChADA4mtPhj9VO2A4bZokM8ZszkheHaTsJls5gIlzIrNsTlMvSUaUwZXVrRw6rhShWnNdhW31SU7foxtHjCknmZQkU5KUlPxyvyrKowoYkv5d8njk1CG8+F0Nl7y0jF8d0JfepXmotmbEEKiaDkYmc+rxN1GludlI4ZiGp81dFUeAaptUHT6oDw/NWsQ7y6o5ZFAPB6wYll+nG0SYQk5fmGOXiZhibWa6VM057jZZtTQvihCM7FrKwq31jOxa6qon03zd9IsxAVMyGXYSRh4zojs7Wkdx4jPf8dkvd2dg9wivnDOOU/4xj+Zkipv3nuKJhmZba7i1NTYdNbQ3Nz78GmvWrKFfv36Bw+I/kX4CKbuWdhlImT59OhUVFYzpWu5B2YBn8BmGytDKYgDaUgaRlM6hQys8jNrnK2s5/Z8L2Kt/KSeM6s7SmiYqCjX+esoQpCFI6QbfrW/i06X1zN1Uy5Oz17JuZysK8OGqrVTmRwhroCqCaEihR2mEfl3CxGJw0SsLmXPdboRU058EzUCEdCKKYERVPqt3tDKwSzT9YNJU/xqpNOASioFQzARp9jFE2gRD6l5bUVMSYaty0zHUzf/pVXTtzlYQgo11bfQuzue9Jdu57p1FYGg0xiX79+/GMSMrkVKhvrmEJ+bM5qFjh6FF4k7Ese0tbdw7YyU37nMoeZpG2BUGOCRSaEqKpGG2O6SmnOAEimJmi9asJJpufwHbv8CxQ1UTjnZEIpyF0XSQd4dS9DoUfrp2I795bwGvnTuOwT0ivPT9Js7/11JShmTOTRMY0iNqjkh7cwly5vZ/t0kh7ZsiCAAqXolsrug25nvBkn65NlC/Q3lGG3JzIh0Ns5k1N4AkGJxAmgFzMxNBIC8XOAmSDLuvgWBTsWz+Jw7D7LtZkF+Mj6Foj0xTvRwFrH3VA2aCHPOdNvmYPkHw+3Ql2QuMpgRpibWvTKDZi/Q5+AcKQ6T3Gtd1tgTXY17oWkulTI87Yfl7mT/IrNN9LwAFuhaFWFndyr0nDmTKHXM4b6/uTBtczKybxnPdC6s47IH5fHnVRMIFrRQl6mloKXbCwodCpvTVSGkgzEhc8VYz70Nr3PyvRRKOT8nXa+s4YFgZeRFXDiN3+3xjXQjp7GBO1DkboPj5Kv/8sLQpkwcVcuep/bj4iZVUlYbZbagZVaymPkn/C79lXP98Zv5pbPqa9jR47tfnB8nSdcz/rv1gHoJ9VYIoF2Bxge0MMBwIaILncrsR9HJRO+ZhgdroH8KfubUo9rMqVv/p0LsswsYd8fRYMKBbaZhvVjVy9Phy1JAgz0j3tZRYkkMz2EoSnZKYys//sYDDRpZx3YH9UDVX8mABtlm4Qz5hgBceWN3jASvCDCus6AhD5eLJI7j63W/Zv38VqsAx87Kd6M2uko7PZ1BSSXt/tv1Z7Lxnnldhld23n5kEe0SXMpcTvmGGB1ZTLgEkjnZFN0IYuoJmJJFS4cxxg1m1o5nj/jGH6RdOZHRVIW+dP56Jf/6a40f2YGRZL0KhOG3xmJPk0U1220siUfbu34sXXniBX//61x0eBj/R/y3aZSDlhRde4PAuMVRrwzFc9pIAdkg8e8M8ckgVby7bzDEju4IiqW1JUhhR+efszVzz+jL+eOQQoorGyu2tfL52u8kOC1PKF1IFuw8sZLd+RSaIMASNrTqxsIqqpqWLfrvlVBKG3TSTD1du57CR5WzY2cbWpripOtUVVmxrpSI/lLYdtTIsO5oUIQOTAApVD8wAbZuVmZKRtDOdx1nY+p3QdX79/hz+ecKeFEZNW9brDxjoXHPLh0sZ1VsSjraSikf4fusqpvQqJRwCPRHGto19a9F2zh43lLJoEoW4FavcIKlrhKwFQREGYSUNRoSQjkmcaRtroChmThNVTTnRSOwQxNFQK0k95ETuMgyFWF6zR+IihCQUSmAYCqmUypsrlnPN9Lk8fPJQ9h5eyMvzqrnwuWWcv3sv/jFrE726hCFkS/gths0j/SYzDKj13+lLm7EM2Iw9EXH8jGEAZQAKyz8pG3Umzr97U87cnGXmZu1iLNv1O/FrToIYf9cmnQEUskmGbWrPhyUI0HREo5QprPMeC2J0OsA0OtGTgkzG/OQEycjSXgu4mmW9WpOMyF5ZTMECpdsy4Fr3b8jYyO1fQT49ThkboAg7PK/fri7gOe1bW8nwRvXI58ZX19KjLMy0gUU88OEm7jipH8N6Rnn50uHs+Yd5nPfPJTx+2jAisWYiiTziqQgpPYSa0tNCCmudDue1oidD5IVbTf+5RMjRmiyubmZcr4LAhKPud+f4qLlBuOoqI1zX2cDeD84lzvg6bb8unLR3JUKAqprjZP12U2M9d3Uzny6sZ9+RJekGZBt3QXNJ8f32AxU7GIX/etd9MkzAgsg9du3X6gpdDGRf8wJ8V7znM4GE/7ubAudDAPnNwcwvOdrhuTjLcTdQceYq1DQk+GxpPZcdVuX084xlDXQvDbO1Lpnee5x3YcEJC+hjwPebGrnukF7ceFRv5qxv4oLnlnDZfj0Z3b0I2//Rub9L225GnVSQKdNqw1mWwwlEMkQiEUHXNVQ1harqaHrKAQiJVJiTRg7juulzKI1GOGvcMCrzC0ytiwV5VHcUPV8oNtsP1zbLdnxKjbQg1fFlkYIehYVsbmhG1zUHDKnC1JKgg9t3xuZvUroZsSuZjBAKxVFVg1sOGM3Ot+Ic+rfvePeCCfSviHH2bj258u35PH10d3qXmwJATU05AMk223bDuCMHdOfJZ57+XwVSrPBMu6Sen6hTssvs1NLSwhtvvMHPhvdI+3ooupO93Y2+bab46ROn0LUgzD++20SP331Kz999SvGvP+KGt1fy6tnjOGRgNx78cj1njxmKbsCVL63g27UNGNJIb9y26YJqUJSvoIXSv+2NztnwBGhhGNg1yqcranlncQ1/+WQ9q2vaWLWtjZXVcQ4cUUJJsaU5iWvobSH0uGYBEJ8E1H4e+3lV3fm41XSplObKG5AGJaataBrIRcOSgwZW8fHqzWY5q+yWhjaufmshvUtjDOtayDPfbeLl+dt4dekqztm90rx3yMzQLhSDT1Zt55sNO3lt6WIAwlrCUQXbAQbskMAhNUleqI1oqJVopMU0y9BSaeASijugRdOShLW4KeGxQI2mmCGg86NNzjsPhRKEQgnCYTNnQl2ikQvf+ZgbPpzHE6eN4JRp5Wxsbeaify3n4aPHM3d9K7+c1ptYVDWZBoG50dpMh9tsw93/Pmm8w7i4GHiP2YL12zkm3GMl7UTs+biOOYyewPtxlQ2sM+DjL+f97QIh7jao0vTXUaXTP+b4t55bI8202R+7P9xMm8jsu5wkOvCx6wpisjpyDyXHx2mHS5sgXO+1vWut70JNmxNk/bh9GnzXZ/SF4mKkcY0td3s9n8w+82vMHCBj1e8ZI/b93PcU6d/pSEHC5V+VrjsXpcewzLjPfiNKmXvzeGauaeDDJXU89+02jn1gEcmUQTis8NpVI1ixo4UjHp5Hk2giFm1CwaApnk9za4ElpAiRjEeQhkIybuZesvcFWwMsVIOtjQm6l4VMhlEFYZl/ej4haY511TXG7Y+zfvjeWdB4F65rVNDCAjWUBrLj+uVz8WHdAXj/+52u9+7rPLtrs41B//yw67Hb6H8GP7nO5Rq7Gfd0j1HXuHP60b/OudaijDnmH6/gMSv1r5v+slnLudck5+OfNwHtcfrGOx884Mw+brEeN72+lj4VefxiWhcAlmxq4fmvavjVUWZQnqZWwwJ0whoT1jobMcecUCUHji7h240N5McUpg0q5q+nDuadBTu49Z3VtBlJhGakI+bZiUXtvtV0lLCOkVLMfUMzw+0roaSTW8i2QAmFEmhqElXRURWdMd0qOHfCaM4YO4xHvl3E28vXODnO3EIKVZghiw1XmH8zWI3h7Nl+syophQlerJdhGAr54RD1cTtkuJKOKObaiN3maYowHNNv2wc3pBk8cMQkxncvZ68HZtLQluIPRwykf0WUSY++zK2fzyWcV0/IEoSqagpNTTrWGebrFBwyqCdLV6xk2bJlGePpP5Xca/GP/XSU7rjjDiZNmkRhYSFdunThmGOOyeizpqYmLrnkEnr27Ek0GmXYsGE8/PDDnjLxeJxLL72UiooK8vPzOeqoo9i4cSP/k7RLQMpHH31Et27dGF5ZjLAyqRoupA6gKIaZ9VgxnCRIJ46p4sUzxrLhhgOouXU/Vl+/L4uu2Yc9enXhwRlr+fepUyiLRXnrzN1Zvz3OkQ/PY/Rts9jWmPBs/qbjteF80hu8tYi5GLqrDunJOwt3cMULK7n52N6cNLWSk3ev5NQ9yjlmVFdIaEhdONGm1Lykk0vANv3Sk6aq1c5PAumBaeiqAxiAjJwpdsQMR/Kh6AhhxjJfX9/EQYO6OuZjAHd8soL+5TG65ueRaI0wa10TYSXKzQcPAD3sBUTxCOdMGMwBAypZtG1nOmqXFqcw0mRqS7QEITVJLNxCSE06tq3xeJhEIg+kIFZcTygSNz8W6NA0czGN5jWbgCUcpyDWQEhLOGEKIxEzOIEaSqJoCV5YuI6pf/sQNawz97eTOWZKCUKTXP38Ko4eV05ZXow5m3dw+XGVoMk002Az3O5RajMIbulpECPpByouIOsGL/5NFcgALxnHfBt6ENBwb6hZwY/NELqYBg8ocUKrWhu5C5hkgBN3n7iZFZth8zPZuWZ8Nga9PSAQBFqy1Zurjvba5GZSFHe/yDTT6i/j/miuT5Z2ZIAWd11ucphP6Wl7e2MrF+Pn/BYB48UCxU45ezwH2MG77xloKubWriiuMeZnHK3+GNg9ymfXj+Hk3SspjqmsqG7l96+tAwW6l4b4+MZR5McEJzw1DxFrMKN7WWu8rV1V1bSpVzweJZUKoao6TU3FJJqiCFWiCYGh42W8NSzQ4nvH/rFja91CZL5fW2Po7ia7bnue+MauogluO7UvIU1QEHWp9ILmFNY9gj5+QYFf+GKPY/u5/PM62xj2HffY8/vnpRt4BgCXDBCjBIybDOAjM/rMU87+6QYtQeuEH5i4rvnRZPV3XXOKv8+o5i+n9ycWU0HA3W9u5O7T+6FogvH9C/hmdX0a5Ojpa839yAQr+44u5pOlddhCj0hM8Jsje3P8pEoue3E5n6+utaLm+dZ5RVr5vuzkxOY5RTNQNHO/TPuaRmhLRJ08JXaKhcHl+fQoyuPGfaawaGsd769ahG6kHCGi6Qtq+pXWt5kCRzOfWdpxXlVTjoO6lOn8bo7w1Hope/Tqzoz1WzAwwYsdUczReLgy0NvjTlVsPietldFUye/2G82mhjbqm3XCmsLzZ41i5tWT+WBFDb9881vCkRbnWQFHG2RriYrzQuzVv4o33nhj14yJ/6P02WefcfHFF/PNN9/wwQcfkEqlOOigg2hubnbKXHnllUyfPp1nn32WJUuWcOWVV3LppZfy+uuvO2WuuOIKXn31VZ5//nm+/PJLmpqaOOKII9D1TqRd2MW0S0DK22+/zRFHHIGmmQ9iS9494fEU3UHMduz88vwwJXkRivIUokqELvl5FEVVPlpZQ4+SCFVlKqFwnB6RXvz96P1YesXhdM+P8fevqgOlQB7mTkszdu4N76Cxpcy9fQIDu0Y5/sGltOwUyKSC1BVEVEeEXIuMxWBKXUn7naiGGVrQJYmwcw+YvioG0gIqtpNoKhUikcizAIpi9ZFuATrF8UvRFAVNNevc2ZJkTW0z0ZDC6h3NfLamhhU7mhhQVsTRY2J0LcyzkrSZEhlp3WdSVRcGVcaoi7ewcGs1qqI7+UvCmhkW1Mx+q5DUQ7QmU9z91VzOeu1Tvq/eRtLyvVHzEmjRuKOl0SJxQnltqFqKcKSNUNgEMdH8JsLRVsLRVtRwAtQES2rqOeofM7npg8Xcf9JAnj9/GF3KzQzPaLB4cwsnDO/B3V8u4pJ9e1JWEjKZC/8G7mcq3NLMgE3dkZY7DL0NUtPgBJG5SXsktS5GLVPy5/14tByK9Naj+jblDCbBN3btDS3w43s2m0lRM/vA00d+oJeFIQukbEy5n9HIBVqCSPi+ZzAsWdroZhr8z+GXVrv7JZtENqjd2aTZuM4HPUs2pg/vGEpfFwBUgsCt38HdaYf0AhYXALG1K0444/ac8u2x6X4e6706Ph8KhMMKf79gMIO7RdnakOCVWTusGwjyYyrPXTmUplSKX723mOJuNRTn78QwFFrjMRKJCPF4nrP2JVJhDENBVVNm+FJVx4hrqEIhZfs32dqSbEy73U7V9/GPech4b5vr4tz6wnqO+8Niepwxk77nzGLspXPY47p53PPaRrY3mKawBfkqLS/uwW9P7O2tw76vX5gS6K/l+h00R4PmUTbtgf/ZAsZuoGYlaL74tWZurYQfQGfTZLj7I2DOOwDFWQuD56IbyPi/Z8ydIPKPX/d3A75d20DvsjwG94g6fV1aoBHJU/jFA8uYu6aJ7hVh0AWEpbffHKACkbBCSpfowoBQWsMyvHeMR88azNJtzVz7ykrq4nFHWOoROFgARgnpaWGEagIVoRjUN5dYptNNVr4hw2HabR5qc9MONjU20RQ3uOurb7j50xl8uHotQkjaUjq//3gu9369kOs//IaFW2ux86/ZZts2EEmbdRue9UOXKlN6duGbDdtMMy9hpijwa1Lc5uqaljQBkJa0NCymlYiua1TEoozoUsxfv9iEzecOr8rn7YvG8vnqWv61cBWRaEuGL6xqOeIDHNi3grfffjv3GPgPol2tSWloaPB84vF4xj2nT5/OmWeeyYgRIxgzZgxPPfUU69evZ/bs2U6Zr7/+mjPOOIN99tmHvn37cv755zNmzBi+++47AOrr63niiSf485//zAEHHMC4ceN49tlnWbBgAR9++OF/T+cF0I/2SZFS8tZbb3HfXv1QSyoAUxpgR3tQFN0DViC9kP5iQk/eXbKN1xdWo0uIaAqjuhfw3tJtPHnyaJORVw2KQjtMRlwKzp84kEvfns2eQ4qYOqA43RD3QmVvsODb1MwFKKIKXrpiGHveMo/HZ2/g8gN7YLSqyDbXLmAxtXYGc0daafmmCFUipMCwM9EbCtIyXdB1U3qhqLrjRB+y8pN4HFwBO0a6YaiUxyLUtiToUpDHL/79LV+s3U5+SOGjC6by9OxN/G3WKq6dOgk11GBpcnQUzaCt3ky+ZJpbmT4wv9tnLHfNWMC4qj0JaQlz0SDOm8s28t2mHaiKwBYdnT2xH9eV9+b5uVu4/Ys5TP/leIShIDQDNZTyPjtmfHg1nDSBkaFz34w1dC+McM+na1lR04IhJRfs2YMXLx5KcYGaZqytzSqkCV6Zv5XZm3fy/G8GeJ3lITh6jiQtFbWZBElWxkAIk7k3zV/S40M4jx0QdtN9wwDeLtBuWgQcs8aI55qMyuw2S+8x9xAM0hjZ98ylgbCZH5nlfFBbcvEBvq4JPGeT+734z3VUJBL0/v3X+n0C3OPEXT4bEylkdodeJV3WvRn7z3nb5+tAd7Qwe4goPsd5ly+AcPsSkB1ceHKpuP1isjCQGb4oHmAEfk2QW6PkZcwlqhDceFxv1jyynIfPG+BhWmMRlZevGcaU33zPPkM3ccwggRZKkkxESCbDxJN5REJtSKlYvm6meYumJVHDSdRYggQpwmFhrgf2/XONX7c2oj1waZX716fb+OUjK+lSFGJtTXqzf+TcgWytT/LMF9u48+WN3HJaH3Y0JDlkQhkTBhR4+gbw+pz4x4SvLwOPu693+6u4r3P7dOUy/XDf335/rmAWgf5Y7vnpHjqWds5uT9D61dFodOl1o5210H2uvbUoG9ntdpO1/uWHVWqbk971VZg5UipLQ9x2Rl9IAm2k9xanXuuTMv9PGVLIzDWNTB1cZDl9mY+nAhce1J0N2+Jc//pqDhpexrFjKz1rsPmMrufUzQZJYaZCKCmoBdLWF6Y/K0gruub0FRv5Yt1W/nzoOKJahKQeAnReWrSKWz/9nlW1DRw3oi+HDepHYxs8v3AZ/1ywjFNGDmBCj1LTvFIquEMS+/1YFGEQ0TQSuk7KUEwTMluzjHdMZTi8u7LU2yb+hqFy3+GTOf+1r5izeSdPnDqCXhUhuhWHeOr0YZzw2EL2GVhGt1AXdF3zgDO7/gP6V3H9o++wc+dOSktLOzwk/qfI7KkOzpF26gHo1auX5/jvfvc7fv/73+e8tr6+HoCysjLn2LRp03jjjTc4++yzqaqq4tNPP2X58uXcd999AMyePZtkMslBBx3kXFNVVcXIkSP56quvOPjgg3/0M/0Q+tEgZd68edTV1TGtbxlCmOHoQiFz8XccsxTvoBOqqfLsWhDhrCk9zYqEpC2ps3BrI0tromxsbKVPmZmJHc206QTYb0SMnS+mWLmtlamDinJvsG6mzj5vlf96VQNratqIKAoyoZjO1Jo1WaWpPbGvFarhJHG0Nww9bpp8GcmQZ8LaC4AWiTsdrFpaFiAw+aOtJp21YTtJ3QwA8P3mOj65YA9u/2Qp76/cxqb6Niqj+RRG8pCy0dHmSIkjlTTBjnn/Fxet5oxxA4iE2tC0JNubm7ni7dnkhxUePXYiuh42TbkKWiyTEYNzdu/GrK3VaHk6Uk9LgewwixgC1YrogWIwe/NObn53Fd+uryeektx5bH8OHVVGj/IweXnWxmhrMmxpHnDclApueXk9fzm9P2WlZqQxD3Pr3/Ddm7BdDlzO865N3LcZCyMArNjgxGdXbb4fslMu4OIiMzdLAHiBYKmfe9wGPIMjXXW+B7TNL+l1/8/G4LsZAg/ICqirs/RjdLQdudYqs7UuQc9fzuLJCwfxiz27BrfXzfxlAyr+cz7AmwFU3BTE8Nnv2QdWPM7G7k1eZpbzgmi8ZTtK7nuIgGNBl/gBin1PVTJtaDHL759kMVl4xk/vbnn86Yx+XP/vNfzs9koiikRrS6DXlZAfaaWtLWZmqLZs3e1M9NJyqo+EFHa2Jr0AJQhkdhSc+Mp+Mr+OM+5bDsCOxhQ3HNeLl7/ZzpJNrTwwfTP9uuRx20l9mLu2mRc+raFraYg/vbKRP5zel4sO644gYAxkc3oParP/d5BzvU3Sd9z/zvxjIFt7XI73zqVu0JJt7PpDcrvP25RtHNljOQicuO+VbRgHgCeP435Hhr8uzOeQ8Pb8Wkb3yneeeWdTClURaJogqcs0MAnJ4PXQ9V4OHVfGPW9tZOrQIvOAirX/mD97dQ3z8BkDeWHWdi55fjk3HNGHbkVhJxAFhsjoR6EaqEISlm1OJDysPV1KQVI3uPvLhfQpjXHHQWMQQmCiKpN+Pq4XS2qKqIxF+OuspRw1tCf5kQhnjRtBXE/y74UreW7BCk4a1Y8J3bu265AtkAwqL2Rd3U76l5Y4Un0dFRXdM57cfrb2Ommb+9tm4GO7l/DhWQdz40ffMfnP3/Dm+eOYNCCf/YeUMblvER+uquGssUXOdW5+SlF0epfmMaRbOe+99x4nn3xyu6/+/xpt2LCBoqIi53ckEslZXkrJVVddxbRp0xg5cqRz/P777+e8886jZ8+eaJqGoig8/vjjTJs2DYDq6mrC4XAGEOzatSvV1dW78Ik6Rz8apEyfPp0DDjiAvJCwosl4Y147A9pZsEyTKM/CaZWL5gkm9Snig+U1pvuUyy9AaAZGCi58ZSEHDy/ltKldMjYxz+aaS+qsQFgzf+w31HwhIqxbEhTDBC1gRuRwSyvtyGUpW5xpMxGWmZcVr1wNpRcQRUtnpkUKdJcU4/O1W/lkdQ0LqhuoaY4zb0s9i2vq2VDfyoVT+jG5byG79y1hUXUDJdEQfzx0JPE23QJUVkhjRaKFkmbdliZHUXSOGtaTe2YsYbdeFXy7aSu79y7nsKFdqWlpY119E/1KCxCqmSdGiyUwkipqRLLHgGKufHE5ihDM3dTAoC4xDh1RzsHDymlK6Hy3vpH5G5v599xq1tW2ceqkrjx3wTCSUqeyJJz2lXAzGj4zjHMO7Epdc4oLD+uefcMJYtTN15Nmru2N3gYq9jsJYCKFkGZ0HANvBBzwbMidsofO0navL0MHQInrWAawdp/PBjqyUUfKBWk72omY1S5D5mcy2mMqOtLlWUBUWFMY3Tuf6rokc9Y18cfXNnDT8b0Z0SPfe+2PlFJnAJWAMhn3Aq+E13Wu3ShfTtvN4xkRk+y6IWvI0wzm0M00Cm/ZnGPSreUMGocCS/sBx02r4PInVjN92Q4OHVRh5pBQdeuTcjQoUgpSiTCqlo7+dcKESm55cx0XH9ydqNsPxN+eLAAlpUtmr2pi7bY2omGF6voEe48oZkgv0xfmntc3ATCyd4wHzh3AtBHF3Hhyb75YXM/STa0s3tDCAbcuYGy/AqYOLmJwVZRLjqjilLuXMmt5Iw9fNJBYRPW9X3JHxcu1jvmvzQYcAjXMAZPGDz7893dpB8EFVoLGbpBmwi4WNBY9BXzgJKhoR4CGby7lXJuztKexLcVd721gxu/GoEtJS1znwembOf/gbqBA/+55rNxqpR0IY/L+kuBog8I0E6trsXgFv+DMeqciJDh5j0oOGFnCba+vZ2yvAk7frasFLgKqFSAViRJKgZBOlFAhBVtbGrj146VcMHEII7uWoCgpx+8jFEoPiBFdTW1fwtDRaSMSkui6hqJonDV+EEm9Hy8vXsU/563n6CH9mdq7m+uxXGuR9WL26dudx2YvIqyqjn8IAktH4OPrbOsS8AhghTCDEdjApTCcx8CyAk77xwIW37g7Wliy/5BSXl+wjXOn9EZLabS1hpBSQdcVxzUADA7oU8b06dP/V4AUQwon7cOPrQegqKjIA1Lao0suuYT58+fz5Zdfeo7ff//9fPPNN7zxxhv06dOHzz//nIsuuoju3btzwAEHZK1PSpl17P53kJBS/hDlqkP77bcfh+XVcv7kvh47OiGk46vh0RzY4MVl72oz/0LA5vo2HvpyPX84aqB5TDUHequR5MRHFrNqewtf/nYc5QWh4A3V/u6XSgcweFc9tZqZKxv59JqxNKWS/H3GVh7+eDPHjq3kjqMGYSTUDNMdJ2eKZerlPBemlsR2nLcBi38zMVImLlRUnT53vM9+A8vZvU8Z3Qqi9CzMZ3xvc7GRUqLlpbh5+kqem72Fmw8ays+G96aluZCi8u2okZQVm12SbM7DSGk+B30VwxB8vGYzj363nLCqcsaEXgysyOez1du5YPfeplpWNdAK25znW7C+hXP/uYTaliTXHNKLVdtaue/DTdx8dF8e/mQzhXkqI6ryOXxMGceNryQ/pno1V+6s5+4+D2JsgySlQf5Z/jL22uzWqLiv8y8QrmscjUq2Ud9RUwYgw8THTx3VlgQBE39/ufsqiCEKuJe3rWSCDyNL2R9D7QGcXJRLutqBa9+dW8tRf1rMqN4xFqxv4ZPfjWLq4CIUu1IPMPVfHzBmAr5nBSpBz+0HwtnOYQEVmdlOhxm0JZb+3wFD0BPVS7gCAHjWXTwAOjBIgEc7Z81xl0Y0o6xlv3/Pqxt5Z9ZOPrhyDEZjiGSzKfkzkiEULUVLU6Fj4qppScJ5rYRicWQ4wZQ/fsfFB1VxzgFdA9oQ3LZNO+L84eUNPPdFDZoiGNIjSkvcIBwS1DamWPbIROf6phbd6wjvrhszP8obM3cwZ3UT//hoK7PuGkdpVOOUvyxl4/Y4U4cXcdmRVUwcWJhjDfH9bq+cX4PyQ+vxlBXZzweNZ/+a6ikfMH/aI88Y6cSFQetv0OXu8etun33civBlpCB68ecMrYoSjShomiAvpDC2Xz5CEexsTnHMbuUcOaHcHL+2n7HbPxI8e8iD723mgLElDO0R856zgYp7L9IF0+fV8vJ32/n1ob3pXxEFPW2ZYCSt5IoCh68wLRcUltc0c+8Xq7j9wDHE1JhlApbyWKbYDvBg7i1frd/GF2truG6vYRh6mNZ4zDHZMqRCbXOU91Yt4bvNWzliSF/26dsFVXHVZeU/MyTc9PG33Lr/ZCd0seMfQ1oAbZvz26ZepjO+4vggA7iz1BuilQkPfsyNh/TjjD26sLUpzqCbvuHNC8YytaorLY1FJFNhFCvKmf28n63ewQXTl7Jp67b/UYY5FzU0NFBcXMycC86mMBL+0fU1xhOM/9uT1NfXdxikXHrppbz22mt8/vnnngSYra2tFBcX8+qrr3L44Yc7x88991w2btzI9OnT+fjjj9l///2pra31aFPGjBnDMcccw8033/yjn+mH0I/SpDQ3NzNjxgz+fME0Uyqf0tIaFEtiZoMSSDNozuYpJB4nUCG57/N1XL1vX49qd2NDC7e9s47GeIqZN42juEAzJedBjJ5Vj3Msh/T59lP6MPXGefS+7htaEjrj+hbQoyxCXDdc7TTSkiMpMFIKRkpFDaVMEzCbpJlF1taogKUCBeeYoukIkUQokuXbm6htSfLgyYMpjoSdRQtMgIMwo3/0KcsjqRucOK4betJslxqxJz+gKxgpzUoYaaCGks7CtampgTeWreeho8eQMCS9SyNomsEN721jc0Mb+RGFXx3Yx3zWsMEDH23ihlfWcOnBVdx4dB/yNIXtjUn+8sEmpJCUF2rMuWV8epFQwLRNcWlN/NJOP+Vipu3fLqlUoOkXBNtxu6XjrveS1dTCKeOu/8drUjztJACYBI1V9/GgepUsx+3yucCG/77ZTFQ6A1jaM3PJVj4XZZurQWZY/vMCDh1fxuJ7J/DpwnqufHoV+968gD+e0perjrBNSsmtUYFg8y/X9yBTh8D6Mu7nY6h82ibHpMs2lfEcT9/H+W2vpYE2iC6AEjSehe+7f3xkAOQsc8LNxIl0vZ8uqKdvZQR0E1Rp0YS5dqqGuXaqaXv1eCKPVCpEVG8mVADHje3CW3NrTZASBFD8c0TCxY+uRDdg+m9HMrFfAYqVT+TN73Zw4eMrPc9bEAsSkeO848riEOcc1I1zgII8lUNvWcg+I4u57dQ+1DQkufv1Tex+zTzO2L8LVx3Tk+GWlsZuSyD5tYD2+/VogjOfK0M4EzT/g8pBWsIN2ed90Jz0txXIav6Vi4JMvNx15rquM4IiN9mXuUIQK4pgXO98CmIqL143jLLiULBGLkU62ht4xxre70dOLOPfX29naM+Y9z3612Fp/jlkXBl7DCzi9rc20KM4wsX7ViFIW2nYSVedx1AN5m9u4LGZ67n3qOGEhYKeSjkRUx0LFesdm74r5rm9BpawobGRd1Zs4PBBfRynezsscVhTOGHEQI4f0Ze3l6/hmve+5oghvdi/f3ewNSaAdLLhGlYqn+wLfRqsmDyIrqdN2s3gQeYzCiEJaQojuhTzzZp6Tt+9K12Lwtxz/EBOemo+n14ymb7RMLquZQiDdu9XSH1DA4sXL2bEiBFZ2/L/K0kpufTSS3n11Vf59NNPPQAFIJlMkkwmURTve1RVFcMwF4IJEyYQCoX44IMPOPHEEwHYsmULCxcu5E9/+tN/z4ME0I+So37++edUVVUxsEvEijJlht51QvC6wIniCuHqBi4OCcmS6iYq8kN0KUyj0Nfn1TDkxllMX1jLMxcMpbhIM1vtD8No1eGJ3JON6bE21Gieyte3juWVa4fxxS1j+PSW0fTvmkdxTMuUZkrhaFYUK/ynErKAmCX9sJ/VuY2lTbIjgNllZq2r54jHv+OKvfpSEtOsCB9GOnyh5RAvVIOjx5fRnNT5bG0NWiRBLL8RoRkOqHHbgDoTW+i8sWw9v/9kHlfu3ZeeZWH6V0QIhSSKKnnutPH85oD+5EfMBJYAD3+2iVvfXMcHN4zi9hP7khcRoEpKChViYYXfvbqOk3evRIQxbXfdYUHdkblsZsXN8LiP4zruex8eDUw2hsldp7us6jvunJeea+woWYEMVmc/Qfdz3SM40o5Mj1N35CJ/jgf3cbf0Oss9PX3l7/ts/ec/1hkKqiOoT/zlO/LJdq9sbXSdH9QjynkHdmPNQ5M5emIZr39by9tzanEUxkHjsD3Q6P9uFw1axzIK+e/nX/f85TNNZDKifwVFCrO+e0Ji+8p5fivpeZHVTNYeoyrpOY6vnE3S/DS36bz73U76V+YhkwpGUkVvCyF1gZFSScYj5OU3mdEBQ2bepaQeoqm5iNa6Ik4eW8WXy+r55xfbvIx7EECxaOWWNi47rIrJAwpNgGJAa5vOZU+t4qYTeqfb296Y8x2784y+/OW8/tQ2pzj01kXsP7aEf18zlL9eMBCBYMylc3hpxnZXHwfXk7HWBVHGXub7+NcFspTzr33+8ewb04EBZvx1Axk5SYIig9kff2TDoDr9n86Qv7y/be5yquSja8YSUVQuf3x1eiyH0s8s8xQICYiTDmGdIxJin8o8NmyPp4Vp4H1v7rXbWvMLCzXuPKkffSojPPb5lnQTHYEtTj6Vmet28szcDdx77FBieQLFMpd055tLX28gVN3Mb2ZpM04e05MZa2tZvqOOWLSJUChBStcIqUlCqp0jDY4d1pc/HzKFlmSKq6Z/w3ur1uFGrn1Killb12Q+nmVi5s6pYpudpaOEWUJUx0zLHF926gk7/9ve/StYUt3igOjz9urOOdO6c/Aj3/G3eYsoKN7hREa1KayE2KN/Je+//37me/6PI8co7kd9OjMxLr74Yp599ln+9a9/UVhYSHV1NdXV1bS2mvxdUVERe++9N9deey2ffvopa9as4e9//ztPP/00xx57LADFxcWcc845XH311Xz00UfMnTuXn//854waNSqnOdh/Nf0okPLBBx9w4IEHompWiD0h00BFTX/Sm6alprSYfJOZg5Xbm7nzg9U88Pl6LppmbipCkeikuO7VlTxyxiDW/XkyfbpFCJTquRdj/0bmZpD9711AXlRh92FFjO6fDxp8t6qJCX0L02WksLLOW9IB27QrpWIktMAs80ZKw0hpjgYl2ZaHlIKv1u3gmL/P4ognZ3Hu7lXceXxfV9hb6WEuhKaDgMpijV8f0pvTnpnHg9+sJpTf6uRxQZHoiZClRdHZ1tzCm4u3cuWbi8iL6Nx74gBeX7oJNZIy47KHUwjNIByGVEpQ05hkXUMTry/eym9fXssb1w1nysBCCIHUJHe9s5Eel85CETC4e5T7pm/CsCKaZA0H2x4FbcSed5nlnfnv4WYs3Bu5+78DYHzg1Q0kgnKOdJKZ9vhguety5zRwh1N195s7dGpQqNBcDI//eBC4y8UM5GL+s8yXnO9EBlzzQ/o1FyDpCClQWRLi2CkVfLWygbMeWc5D72/xlsk2nqBTQAV8YCVb+3MBFbtIDgDjz13hCU/sBi9ZQJMnT4Wr/qwAxf3bPx8lXpMWl9lSfp7KkVPKWLPDDByiJ8zAGHrSVNqHo+amiRSkUiF0Q0UVZmVNLUWU6T159swRXPTkStZsbfOOaV+f2IKkloRBJKJ42jJjeQMpQ3L+kd2C31sHxp5QBYdNLuPLxQ20JQzKT/uGfhd8yw3/XMvTH28lL6TQrTDEPtfPJ3TMl0y6ai6hY7+k5JSvGH3pbO56ZSMbrcz1WcFK0FjJ1qZcoMW/74H3fQbtkfbpbOM3aJ22AUG2dSCbsKg9ag/I59pj/G1zfK7MT36eyt0nDeDfX9eYGhMhkJpAhoUJUFSrAveeFkSu5yiOqdQ1poLPu/sibP23AP9RE8rRVMEv/7mcd5dstwST5r6vhHQ+XlXDW0u3cvexgwiHzesMXUXXvQ7ljgm97eNrmdYDqIqgd2mUWNiOLJqgML+eWKyJpK6ZuVKwI3sJjhram3sOnYyUcPV7M7nnq/lc+MYnrKqtoymRfkY7ZwtgmYcpad8TcEId26ZebqAC6ahlJ43uwexNdSzbms7hcdvR/bj/lEH89YuNXPjWHKLl1bQlommgIgX79S3igw8+yPJy/nPIQDh+KT/q0wmQ8vDDD1NfX88+++xD9+7dnc8LL7zglHn++eeZNGkSp512GsOHD+fOO+/k9ttv58ILL3TK3HvvvRxzzDGceOKJ7LHHHsRiMd58801UNduk+K+nH2Xu9dFHH3HNCAGYmXk9/iZuEy93+FeLNte38dK8albUtDCwMsovpnSnZ0meVY+5AW+pj5vO2btVIkLCio5B5kacbfF3/w4q6yuzszHFks0t7Na30DGpsBNEGgnV9AOx7EhtnxTFARaYUsNkyJEC2ABGUZP89oOF/H3mJi7euyf/OGcIFQW2tkhazALWpms4DIXtj3PlIT157rttvLd0O5ft1QeZUk1tS0hHSehooSRqpI1b31nMKaN7c+MBg+haplCnt7B8ayt//XIdl+zfA71NQ6ZUEimDy99YwKV792ZC/yhj7pjJvaf3Z/chRU5f3PfOZh54bzPPXzaUPQYWcexfFlNRFEK4pfpBfet3sg16J+2RvcDbjJD7Or/jvPu4XdbN2HgkXdb4UcnwQRD2uR9CGQxIAJMbyAxnqSvoWDb/kVybdhDZfeeMtxzXy4Bjuer1X/NjykH6ue3vkNuPxsfAJgyDvhURukULePzDai45tCp9Psgsy32PbOYyQWPOrsbHQGSMQc+zuTogw5wr4JkcpsS6h70+uRjRQJDjrMd4bfYFaUBttzXbuA0ABum2Zz7afRcPZMJFc+jffQ3X7NMT0RBFbwsRKm6lflMXxzzENFPRkJi28ClDo76lhOGRSezfv4b7p2/i3rMHeNvje75vVzayZWeCsX3z0/NemF1aXZe0grlku971YH7nHmvsRUIKn945ClUVVBaHSOqSbXVJKotD9Kww1/DIy2blBwwpZUDXKOft35UtW5Lc9tZ6Hnl3C0dNKeOec/qbZrKeMebq0/bWxqCx559LSsDxjGuk1wTW3R2Gtw+yRgELutbyachqDtke+cdVkNmXy9ckswHBbQJAharSMIoiWFXdyoB+MVBEGowYEpknICQQuoSkr/4Ac9P9R5fw8YI6frZbRXZzVPt70vVdwjn7dOP0qXDFcyvZc3AR6IKPltbxwdJahlbmc/tR/a2262BHHG0VpFIauq45kTxtkjavoRjOewiJEEk7JoX9XoSkvHAH6fxsrnwcUuWQgX04dFAPnl+wDlVRuGTKGLt7PJoUxQElugfguqOL+tNO2HnkpK5SFs3jpFG9uH36Wp45Z5gJ0FQ4Znw5uw0o5MgHFvCbd5dyzzGwdV0figt3IoRknwHl3PbEJyQSCcLhH+/z8X+JOuJa3q1bN5566qmcZfLy8njggQd44IEHdlXTfjT9YJCybds2Fi5cyLTD93X8R2yAYqsdUSRJ3WDt9hZW1LSwcnszG+vibG9KMKgynxPGd+HyLr29DAHQmEhyx/trePSLLQyozCOUp5gABdpn1LIxgUHSKt+iu35HGyUxjcpYBKlLZErBaDMlgUI1gYrQTNMsI6WgRpKeUMVqyMxAbwOVZDxCKNrMNe8s4/2VW5n5mwkM6BK1biq9/wyzwUKVXsZClWgqXHtYT259fT1oKYRQPbbqoWgbby/dysFDy9hvVAwlbIYQLguHOXFCF0hpGHHXq9ZVBlXG+HDVVkq7lbO8upXDxpZ6+uvTRXVce0hP9ulVzjNfbmHppla+v3scwrL39mwqNvOTy3fA3d+2mtx9LIj84N3PSLrrVnzHstlfO+2SGQxgTqYyG2Vj7iA3YG6PKcnWf9L32//cHaFsIDNbuWxty2XT3hEQ0hEK6ods9/Tdd0y/AtZujzNwVJS/nzMsuJ5cfZfLT8XfFtfxDLAS1E5PW6z7WHb/wVGM7PkuPP4q3nGcvoc7N4ondKsFTLKGabefKxswcc/bIMBoQK/yCG/cPpLz71nOc59v44mfD2Vi30KEJinusY1EXYxI90Zkm0Lj5koaWorRDRVFGBTH6kilQtx0SD/2efhr8qMqR0wqY/LgQsfXJJ40mLGkgbe+q+XJj6q55dQ+FMU0kxm0hBApQzKoex6K5n8HWV5C0HHrPYwZWOg53LPSFKZtqImzcXucF28YxgX3rWDm+gZOGNuFilSMPQeV8bMbKvn922u59+1NfDyvnuevG8ow24fFPZY6MmeCxl5H/FgIOOcGI0r2RcADWlQyQIj/Xn7TR09EvCBBS3vrVjag4h/vWdZSd8CekmKVc/fqytvf1XJZ36h5of3sJhcOCkjVrl56hWS+tk4dWsT1z67lZ3tUpMsFPZ9fwKGajdak4Izdu3HDa2toTRr0K8/jvhMHoTpqPHuSG6a8LqFjJNL55xyfX8DQVYfnMnRTgFoYDtHQpjvPb2tbQqGEZR6eCUgNw9xwTx7Vn998MNsbBMkanIoro7y/jwHHrMuTXsGl7RGKAVJwzbThTHnkPRZs7MXovtacENCtJMwz5w9j8i1zuGCvKob2X8v2dT2JRZsY3qWQWEhl1qxZTtjc/0RyB5D6sfX8RD8CpHz88ceMGjWKrkUhEObAcwCKIvl6bR3PzTGjQfUrjzKwMsZxY7vSozjCTW+v4qr9ehMN285Z9s5qmsuc9ffF1DYnefXy4Yzqk5+2cbXnVUck0B0BKG7mUUJKh5AqHOAhNMMBUEZCBcUELg45+TYM0/lNF0hDRcuLk2iOocYauOT1RXy+ZicfXT2WPpURMpgKVy4EmxFxIu0oaUbiZ5MruPJfq/h8RR37DC0xywGhwjZen1PLF6t3cschw5ApCZEUQjP78sOV27nriCGosQRoknkr2tDCkhuO6sn89S38/eOt7DG4iH98vo1rj+npPNrW+iSvzt7BO/NqmbGygb9fNJjCPNdw8Uvis20YvmPPfLKVix5eRfeSEN1Kw5y8dyUXHVHVccdqN5MO2TUruM77y+M/5uMOMsCRn9H5AaDEXzajDVnOB1G2zNrZnGs7Qrnmlpv898323joDgDqi2XEx4J5r3L9tsto0vm8Bi+6ZQP8ueWg2s9rePSDzuYK0KpBlLLkuszfqbIygm8mUeMGKU6/FqPm0WrYwwyGZljB7tC32b1fUvZx5pJz6sjyn/ds9BjNAjWS3wYV897fx/OlfGzjyoQU8ftZg9u3WnWiBQd7wevO2dZL88p3ESutQXGtta20RQyPFvHrFCB7/bAtH/WEx+48qoU+3CO/MrmVldRuVRSEOGVfK2zeOZI8BRZYZD5ASnPnwUv75ZQ0HjSuxnu8HTgohuOiBFTw2vZq+XSNMHFTIdSf2YpyV3PHqR1fx6lc7PJdEVIW9+5Rx1ktzUIVgc0OcUb1jrK2Jc+eLG7jh5N6Mv3IubQmDnuVhrjiqB5cf0cO6n+/+7QF9/5jLplmxzwWunS4gno3BdqqQmWtUhvCHjDmQoVl0tz+ofZ4yroP+/nGPZzKZOo8JmwEjqgp4+ZsaLjuiB2gSDJCaCVaEAVIxWRmH3GPcsD6WgC0cUkjo0gqWIzL7S/HV42mYaeY+aUAhkwYUUt+S4t73N6KFMPOT+SKKEtIJF7aihlKk4mGT1/I9szQUzz5VlKfSlEykzcCsuSUt7YYq0pHBnMhdlvO7GZVLYEiJquAx8RLIDIBiM+UZaSdscrVLUU1/2r7lYc6fOJRDHpzHvScM4MTdKxwB6LCqKBfu150z/rGETy6bQCTcRioVQpWCPftW8OGHH/5ngxR2bTLH/9/pR4GU/fffH6EsNA/YYYQVyV0fraU0pnLvCQMJa5b6z3I+l4ZgUGU+y7a2MrZXgTMZm+Ip7v1kPctrmvl4yU4W/3EiPcrD3g3QzwRmo2wAxc08+jdWYWagVRVhZpm3FgobPAhVQcpMaZINUBASJWw6vqfaQmxvaeOc575jZ2uSj64ZQ8+ygAQ8Aq+0yGY+7IVZTTMUEVVw8OhSvlxTx96DykzneauaViPJsWMr0KKmz4kIGyBBJhUUBC/M38xnK+roXhamNaHToyTCp6sULt6rJ/+aY/DL/bpz7fNruOywKiJhs5P+feUw7n97E0II/nrBQPp1yesYA5yNQbf695bn1nPX8f3Jz1c4+7HlHDiuNHc9fgYp20bcHiAIAisdHU9Bu2e2a9sDx9moo2PaD679zcsFHHKBuFzvtiPt9t8z2zW5tC+52hDEoNiUjZkzYHBV1HvMzwxl668goALpDbejfeySMGdIxrKByyzmLBkZqz3FMq/xCDtUvEybWwMYBLT9INDdZvcYzKENDSkKvz29DwUxlcufW0Vjy3LG9MrnllP6MLmoAqUghVqQMJ8tJM11N5FmuvYZUMq+o4rZtjPJKX9dghYS3HpqX0b2jNG/ax5CCJKGwTcrG5AWH/barB1sbzDzVP3mpF4/HKBYZPuUTOhXwEtfbuelL7dT/fQUystCnL5/Fz6ZV0dTm0FKlxTFVD6cX8eY+bOIhRXG9Stgn5HFVFWEmT5nJ78/rQ/1LSnaEgaRkGDjjgTvfFebBiluCmTYrf9Bcy3IfNF/LmjttOvLALw5OsUP2ttpT84cQx2hXGtqtksCAgLsNayIa15YhdQlQpq6ARucSNXSpAAiIU1HejfZeVGkNAExMKJ3jEUbWhhpJ4r0mxy72+zWykhAw2H4iws0GtpSoFpsqSfUlzWPpU8b4XpOG6C4/VSKogr1bW2mj7C9/ljnnPehq46fSDoZoxkafHBFAWvrdjKgrBR3yOEgyog65iJv3hQLeKkGSijJ7w8YzPg+YS7/90I+W1nHX88c5PA7tx/fl4PuWsA5zy3i8RMUjPpKWtvymdajklc++qjdjOs/0f8d+sEg5ZNPPuHQQw9lxrpaRlcVEgkJ8sKCF+dupbJI4+yp3b2LpSsC1rCuBSyubmZMj0Ls2Xz1KytYvLWJI8eVceURPbwApaMS5qzSGNf5oO8WJXWDkGpvkgKh4GQPF6phgQkLlEhv6GQnM7uEN5Zt5MpXl7L30GJev3IE+ZEcTkcGZNjaWsUdiac1uSMhBV2xHO1sh28JB48u4U9vb2T3PmXONUKVJJM636xu4JDRpfz1jEHE0SmMKggh+NW/1rCxsY0zp3Vl+sJaSmIq/5qxjbP2NZM89aqIcNcZ/TsmYQ/SIPjfgwIffLcTQ8JZ43sRLtK5/8NNDLKZSP8ij+97LrASBEiygYige/gpl1YniKELOtfePdyUS4LaEW2M/1xH79te2c5od3KBox9SrjOUDXhke/fZyncUwNjn/JQN7FjngjZ56WcIA9vh+uHWsuQEltKzxnm0J24GLlsduUB4tnGW0d8m0rn8+J5cekJPvlvayLtfbOfQPyzkhkP7ctk+PVGSESuqkWGapAozCR1AoiafcGUzXYrCfHTDaO9akAJ0WLMtzmPvV3PouDIMXbK8uoVf7NWFxZtbmTayOLhd7ZHrPb560wj+9u4W/v1pDecf0o2+lXnEomaFR0wpZ90/JqOpgrBqHvt0fh0H3rCQ134znH3Hljh9dv6hpt+mNCRv3jAc1WLeJg/xmpI5FCSAyEW5xlDQOZv866cfsHT03u3M6axA3VPI1Sb3b/seOerN2i57vEvTpyieksR1SZ51H6kAqjBBCiB0aeIvt5mg/WwWUBEqkJQcPL6Ul2dsZ2TvfG8bg3gWWwvjey4HMAhMLUfQfHPeoyv4kM1vGEoatNj5UhSDvmVR3liyE0WtTINK+926AIWdJsEGOoahYBgKk3tU8u2mbQwqL/b0s5msO912f74Wv7O8EyrZ5assVANVNZ9jbO8Yew4o5flZWzl6TAWHjC8BIBxWeOHSoRz3lyXsfu9Mvrx8Mg++u53iSJRZs2bR2tpKNOoTQP2H0K5O5vj/O/0gkLJlyxZWr17Nz4xvWFPXyscrdrC+rhUhYEBFlOsP6+NZXP0JyIZ2yee1+dt4N28793+51swUvL6RD38zmskDC3KDkyCGzr+42cdcUpSsAMV1j5QhCalWdmc9DVRAIkI6wjb7AjNEcIajquCmd1fx5NebuPeUgZy8WwVCCMt5MwuDYpOLqQgMC6nAsi2W9kkzGY6k1Hno482cMrkL0YjCqh3NDO4ZRljhgcNRwde/Hg+aREQkEVV1FtwxffOpboozsVcRD32ymcv278k9b27kjL27mrbf2TQU2cjZEALOWc81a3kjew0rRiQjoLcyvk8B3y5v5OR9Kr3lgxhM/0bqrttNQZuu//qgetzUXiCLbExPR5ihjvSnvTHl0vS0x1x2hDpqTtJR6gygyUbtgYIfA3CCNBf+PsglbYZMjUpQ/W7KZW5IAPPW3ryztSNB787H1AXm53EEH1nanE3Q4y7vv8Y/Vv3aCwMUFSYPLWTykEIOmFLGRX9ezt++3MQV+/bi55O7UaiaYYpRzL5IpULIVoHamESVCUQejgQbQKYE6IJr/r6Gk6ZWcvwk04F55opGSvJCGTb3HSbf+1FVwUVHVJkmqQHOqbGwd7HYZ2QJrS/vgaYGv0ChCA6ZUNahe5sXECjwyVrePh8ERtznstXf0bnp8yPtKGUd755Cvt/uNiUEhF0MsOu87UOTDQglrXwQScMgIlTXmBU4/ikhBVLSNAMDREr6Qm+nNTB9e+Sxbnvcm3Hebo8fYGmY49fhQaQJhAyz3T3LImyqi9Oz1Aoe5PdnsZh8RdNd5mDCARxOf1i/+5SH2VDf6qRASAfZcKu4rHcohZnnTgpT0SMFg8rK+Oe8tU7RtKZFcaJ5ud+BeVz3lE2brBmettmWJ/+av57N9XH+eOQQPh5cy/nPLOf7weMpKzLZ0q7FYT773Wim/m4ev/94BY1tkmGV/SiNRvjmm2/Yd999A9/z/zTZFje7op6f6AeClM8//5zRo0czpW8Juw8sspCyQW1rivJYCGfVky6AYiHoORvrueO9tby9aDvPfBfiyiN6UKipPHHJIPpX2tG9yC3lc1NHy7QDUBCCpCEJaaZGQ6hGehEWmCZUukCxnsnMZ2I4WhDDkLy3rJYnv97EMxcO5cDRpc56IPyJJ+3jQqbt1a1FKdAkQ4F565v4fm0Tr/5yBCiwansLZzy2jG9XN5IyJFcdWsUtr23grpP7OSCGkISUBF2ko4QogC7YvDPB3kOLESHJqbt34fu1TbTEDa55Zg13/6Kf46QaSEGbpv99+Zia1dVtvDGzljOndEMoBsmUwfTvd/LXCwZ66+moNN5PQWZLbsDiloZlY0A7Sp0BDXY72isTVF82hsFfzw9dD90M+X+F0CYbAMh2HjrOgPkplxbEf437t31dBhjxtTMbWMlGHXG2d9WX03bfTzYD6iuXAUrc34PASdA7z9a/QeAEvP2XbcwqeN7NHqOLmf3kRF75vIY/P7eRq15ayZje+fzq0N4cO6qScHMbekpD1VKmD6Au0FMGSkpxNElG3My/8vRJY/nV+4sZ2SPGmN4FCEOwbWeK0gLX1par/4PK/BhSQGtvMmUDgrkEMe2V91+XC4wEnbMp17DOtT7nGuc/tG9ddbidxBWRyizjLhsEUFXJzNWNDOyax4INLXz/TQsrN7dy0O5lHDitwgEpUhHmnqkJMGQwXjdAqqbJWEFMpTGRMv01/cDE79/iHxa6LZgU1LYkCYWFKWC05reb0bWtORRpmqNL2wc4ywtrTek0xfV0Hb7ogODlzbCb5zjkhzyumu62SGmiNr+Jl72Guc3H7OPOc6jpVAtLtzVyw/5DyAsJfjGugBe+r+aedzZx28l90t2mCJ69eAh73zyPgV2j/PXoYl5bXsFnn332HwtSfqJdS52VlQImSNl7770dRGwOPCjPD2WUtZl5JazTqrVx4pPz6d09xMJ7JrDx0clce3RPLjy8+w8DKG5yM1puLUp7AMVMhWpqJnRTciZCVmLFkI4IuRIChCRKfirtUK9IFmxq5tZ31zLqlm857+llXHtYL/YfWeK9hzvxJN7v7vwaGYn/7N8qPPnpVkb1yqclpXP3++uZcNMcJg0q4E9n9OPDRTspKlBpbLMWb3tBtBKwiTzDm5BNlew2sJDX5uwAVTJtcBFbGxPcc0p/ps+t5dInV3n7NohBsRmloPdll3fFnD/pjiXMX9PMuO5FbErWc8Bf5lFSoHHIbqVkUK5RmUuL4W+nwNtGd7vc59QcHyXgk63+zlI2xo8sx+177Wra1XW6QZn705n7BvW3+1wQBUlgA+ZcRh3+sZur3qCxEHhNWpKYdfz4rvXk28n1UdPrhfu3k5fHzsnj+ZCZj8ffNs13zP/MQXPFXZ+Cs5Zm9J9vHGiq4MT9uzLz0fGs+tcUzj6yO1c8v5JJf5zNXd99z5bUVlKRRv48czl9rv+awvNncNwjC/lyzU5E2NxPlm5p5f5PNtMlP8zjn1UD0NCqc/YTy5g0qJAXPqvhy4V1rN7Syh+eW8cfX1jPjU+t5cXPamiNZybG+0GUbXzmeuf+Pvmvoh+yJrXXLs+8kdnP+Y9nA9TtlPf7OSgFqcxy/jnu328tGtU7n1Vb21i2sYXJwwq5+5IBbNmR4KI7l/LVvDpbqQCaMP8rwsyh4v4IYZqIaaaJ2Mn7deGht7eY50LCNQdFuh12X9pzxk4mGTY/zUaKuDToVhFKa0ptcpmJOakdnEiqhpM020meLSRtSZ2rXl/C1Xv3J/1QmeTktlONdH3CzKsihKRLfpjtzS2e9yWlGS7cNu+yQw7b4YjtMmb9hhN62L6XecLUCpXENBpSbQhVokZ0bjxwIH/9dBNbdyY87RzULcrlh/ZACAhXNrP3gCifffZZ4DP9J5CB2GWfn+gHalK++uorfvvb36Jsnec4egvNknS0aChR3VTdgzlJE4LNO5L84f01FERV7j3bihlvz0e39NIfuShIOtOe8202ZsR9LMChckivKCu2tJpx8GN5ju+HfY0j7bTUpw71pokAAQAASURBVPGUwbEPLmRkz3x+e1Rvjt+tnEjIuqH9bP5FJ0hDYat2g6Se1v8T9qhgzpom+l83i6FVUd69cSRThxfxwowaWpMGa+pb6V4cMbUmkFYv222w37QOqDBteDFvfV/Lhu0JeubncdOh/bj6hdW8c/loRt30Hb88pHva1tbflwaZ78lfxgcICyIqp+xZydQpMa58eC1lxSrv/noEqtsswnD97wxQac+R1G4PBNtp56KO+qcEkQ2c3Qxhe9QRBjybBLW9fvnvIr9kNtdam01K7KZszxW0TrQnFXaPjaBxku1+Qc/g1rBkW5uCzGL8ZdsbF9nWQ/CuL9mAF6RNVjqyNvq/uwURudqqpgFKmskjeM2zSUKPiggXHF3FaQd35ZUvtvPWjB2Mu/srAEb1zefRqwbRqyTMS9/s4Mj7F/Lrw3vxq0P78OiCFfx67/6EI2UUlZj32HNoEU99Wc1TH23l3Tm1tCUMGlp1xvUvoFd5BFWDl76s4bZ/reeZXw9ldD+fP4FNu3ru5Ko/aA64x2a2OdTevOno2pWtXEc1LNnq9defa/+2n9cFTrLWGSQcyABMLi2BNXZXbmulZ3mEM/fvCkUqUhWccUR3fnFYN371yGpiUZUxw4pIKYJkyiBqmYGtqW5lQ3UcpDRTExiALpGGpLFJRwekYxImXM2xXmyWdUYi2dmcYvaqJvIiSjo3mF3eBiiG8EbqS9/GJB/evvmDFVy5Vz8GVrj2b/c65NNs2JFZTZ9as8x933zHvOo6hnUp5ZCBZmAHKc2oVYZUnASszrO4tT5uDYvLfwYh0qZiAuK6QSxPoIRTGAmNSd26cdjgKvb8wzxeunw4o/ukQxOP6pNvJuQNG0wdUMxvHp5FKpVC035Uqr+f6H8BdfoNNzc3M3/+fEbNegj6AKG0BkC2KiAkMq4gDcG27ZL3Vlfz+rztvL+olv1GlvD3y4YgVJHp3OeWxrVHHWFa3BIMXHW7AYqvngE9ouwxrIhnZlVz1T59TbMuTZoqWAWT6TcwNSnAP7/eSmFM5dVrh6HYdbrNQQKZHffi62qH35nVvtYCA9NGFPPFHWNobtOJhBQzpKoKbUkDRcBNL6zjvhMGIaKGJckx6xH5himxCeivPhV5NLfpUAChAnMx6dslwmlTu/C396t54NyARGpBzLB/A3X3tUUpQ3JI/0oUKXh/yQ7uPqc/+XntBRRw/W4PtAQBFX99QW0Noo7aaAfV76aOgpNcwKSjpljtMZw/htpj2DoiPOgI+ctmY4yyPWsu2/agd+q3+3aXywUK/aZi2drWnmlYQFLRDPJf67GPd7UjqJ32OTdT11nhnK0p8dzPqsQ2mrZ+Szcgce7pvWFGmFeX8KAgqnL6Id04/ZBuVNcmaGxJMbBbHkoC0CXDBxdw7P6VHHzVfJKGgWyOUC5KaaktQlVraN0WYc/+cU7ZvZLL9u/BuN6FJm+WFCh5IFvNPFd6foqbX1vHpIvn8LfLB3Hmwd2Cnxt8YML1LDIHE+2/Loj849UvRAkq4yf3+NsVvlpuCppLQeZi7vHpZoI9/pbttM81PnNqWIKucbfBM/e89RhIHpi+mZ/v2cX0E3W1R9EUbv9lfy778wquOrMvf391E20Jg1TCQDckIU1hn/ElprzJsJhwQEEQCgnOOaJ72tHeqleCmRhSCLbWxvno+zoOmVSGKuCTeXW8M2snRVGV4pjGqN4xrj66p9l+HdNcOxUwUQVW/iMFkN5UCVKYY9IQpAyDwZUFAddnml95w54rCGmwuraRgrDGU8fuiUDxaEgEEkUYJPUQYS1hgZF0xDDF5QMDmFoaxTD5KEF6XEhoTujEQgp6XCOhG+SVNPHEqUO59Z0Cpt3yPTce25urjuyBKgTdisNsqUuwamcrw6uKUQydRYsWMWbMmMzn/B+mn/Kk7FrqNEiZPXs2Xbt2pXcXDaQOOkghMBo1MxO7IahtgKvencfL329lbL8CjppYxp3n9E2HA7XnmdtPwL2RdsSG2E1+yYpb8iddv22A4qvTNac455Bu3PL0eq7ev7ezcUjdnJyELOezkEQmBKu3tzFtSFHaf0MG3Ne5ia+9bsDiByZupsPHWORHVU95XUiEEAzpEaWsVIU8CXnWc+oSbM2pLaUJYYItafq5nLdHFSs2tdGnIoKCQqImxsieMT5eWuftU39fu9sZdM5H+40u4Yx/LOaZ2SUYQDRPwUhJb7K1IOaRHMdy3bs90BJUxqag95ZLqtgRaXxnJKF+cJ2tzv8u6ggIzHasI8xTtrU4iHHLRbmYofYAhZ9yMZAeJs13XWcBbjYH72yAI+h8rnnoX1M6Wr/Euy4HCXYMcy11tCZB7bIT5dmH3P1qP7vdBRIz27ch6VoRpquIINoM0A2n3lH9C3j3ntEcePn3jO6Vj5FKb2HhwlbenLOdq/fuy+geMcDS8IclRrOKTCk88vUGlm1rJoVkWM8Yny+oDwYp7n4KBN8it2drRzQV7QHrXPVkG8sGHZtz7VEg2CZ4DtjkZn79ASYCynuY32zgxL+3W/uA0aChFKUyAYp/77eOXfbUKt6fV8djlw2CsK+TDUlYVfjzdUO47PYlNLfp/OuuMSSTBmEssGGV8/SHlN7xbD93UiISklYkf3phA21JgwPHlvCXVzexaF0zh00q42+XDkRIgcfh3p5zOqY/qS6s5zFBkdTNhxFWrhGrCQhbeyNAKhJFIe0w7+trJ5eSrwukIk0DI0Pw/vLtHDK4irywjpSGY9IlrIs0NUkk3IauqxnJHBESVTNNOBwTNMVO8i3T70tAOAQtMklRSOHsZxcyvGsB+WqYYZWl3HXQHtz/2be8PmcH/7hoMKP75jN1SBH3vr2JB0/MZ3zvcmbOnPkfCVJ2lanWT+ZeJnUapMycOZMpU6YgU20YCRxHckOHT1bX0KrE+fWLa+jfPY/lf51I78q8YCbDDVDghzFg7UkO3b/dGhSLgoDqnqOKWb61laRhELJjpesgsSJ9qWkpUcIwCIdcN3PXZz9XNsDll2r6+8EPXIKeT4HKYjOz7LamJLWpBGXhUHoDbQHZoCDyDV74toaZKxohZZ5qaElRkKfy9qLtfLCgjm11SY4eX0aotJUu0QjbGpKZDI4beGVjftzkAhbXHd+TP/x7Ax8urOPYSeX84p5l1DWnOHxiGbf+og9DesTSG9muYMY7woB2hJFoT7qfy2QnV98EzYlc5X+spuTHMC4/5p20Bx47Qn6QkK2f3OZXfsplsoXruo6YpuQ639l9pb1Icv77Bd0jCJS4y+V6d9mAj6eeTMGOXcYDULLVC9nBmEsT4A7/KlISdIlIGC5zWLPS0QMLePeu0Rz16wVcMeNrLjmwO92MKDtrJO98V8vW6hSDSs0cXUpYR2gGzXGdmngzX6+q5+7T+tOlQuOGF9exuqYta9fY7cpK7QGVjoz19oB9ELi2j+M71979OjM2O6LRyTXXcpGvvg4DFCGd+aIUJ7OPdXuPdPEYFx7Snffm7+SR96q55ay+vrFu+pfEFMGvzu7H25/VICyAgiE9QkwUAYZEJA1kSEH6InwKLOCuSP74/AYOnFjK1GFFCAn7jSnl4gdXcPZBXR2G34n4Za9PQXPQwAEqpsmZYppQCZ92QkgMAzY3tNGiJ8kPa96UK3YfOVG3LJBoCMu/2NQ61rS0ENEEqpqytCMCXddcoYZVFMVwcqwoiuGEHrYTRworUJJQDSdRq1Ak7oSzh40s59xnltK7NI+uxSGOGNEFkhprd7ZQ3ZBicq9Sqlta2fv383n3NyO5/+z+7HnjfG4+vg9T+mrMnDmT888/n5/o/zb9IE3KpEmTkMaXCEWiRxLM3NjA7a9uYOaqRnqWhznzgK5ce2zP4AhR2UyzCPjdnvQ2aNEN0kZAoCTQrZW2F6KSfLNLGuIpyohY6N9si0wKZ5KhC9pSBoUxNTeD6l6AgtqaTWviBzHutrueqVtZhM21ca49pCcPvreZG3/Rm7r6FIoBxXkaotzgwzk72dwQ557z+kOL/bySN7+tZfbqJh44oz9fLW9gfY0ZTrFLcYht9YlM5tTNUHWEAXI3XcDA7nmUF4bYUp+gLWFw3xkD+HDhTiZcMZdXrh/OQUGJHbPV39EkbR2N49ceUxpEuZj3zjKrnS3fWdDQIan+LrrXD2mHH8z/ENOxXJqXbGApSEviPu/XmvwQbUxntYJuak8DkmtN7Ahwbg/8Bswzj3Anm7+JW6BhyA74T0gTqCggU9Lko5Iy3VeOOa1EIJgwuJCv/jqeqx9axb63LKClTadftzzuP2kgBTGF0//9PbGIyj/OHsK/vq7hlbnbiSgKf/vFYAqLFdAk0+fu5Orje7bTsE7QrtBgZBv3KYIFX276IUKezmge7eM25TLH7KiJaFB7MoR5AeZc/vb49313cAgNRvbN59/XDmOv6+cxbmA+akTltS9qmDi8iDZDcsrh3elSEWFA7ygrNraCIhB2cAXFdKQXjsWESzsYZAKowG+eWcveY0qYOqI4DdAVOGxyGY+8U80vD++ebrdhtre+IcWfXtlIa9xA1yWHjCrloJFlqMI2HzLNuezww0pYxxNBVQq2N7dx/aG9eeTrdVyzXz/ceZUyUybYgAGHGVJDKWJ5khRtKKrm1AtYmejxhCG285146rMBiivcsM1HuRPMxiIqR40r5/Tdu2EkQRgqqeYIQ8sqSPUJkUr15/Xa2ahfKRxw23zeu34U+40s5vbX1rNn/1Ju/+q7gAHxP08/mXvtWuo0SJk/fz4nnngi1z/8V/7xVTX1LTrlhRonTavk+V8PpTjaySpzLagdkQB2ZJP2/ydgo7UWkpClCk7q5qSVhlVYYkowrMRjqJLtjUn6d4u0zzy1t7i6pT9+cBPQdvfCOLx3DFURzFnXRH2Tzp9f3sRvnl0LwLd3jWVsrwKe/XIbT/16CLRimnvppsTnqInlHDWuHBQoKwqxYKOJYPLDKo2tenC7cj1TEFnP8Nd3trBySxurtrRx3kHd0FTBL59YyW6DCinN10gkjcw6M97tD5i0fvt5u96OMOT+Mh1hUDvaxPa0Jrk0NLDrNE7Z7rsr6/RTR6SyP4SxDzLB6igjlY0p85fNVc5/32zjo6PaE/veuX777+sv05l56xfo+Mpn7Jl+gOKvO0jKn2V+OZJqA4SUabMl2xzG3WfWWt2nMo+XbhkBqhlS/ca/reasp5ahqoKjp5bz8JtbWLS5mT7lebx83ihkUkGEDNBM5nPj9jhDe8X8vZD5TB2ZE7uqTDby72vZxnpHQLObsglnOiLbyTUXgqgzgN6tPfGP5/Y0+orrY59TYNzAAnp3ifD397dSlK+R1CVPvVONpgpG9Ymx/x4VKKpg/LBCnnl7C6cf0MVqW4BZly7NQBEuSqUkF921DFUIDphUyiGTy6zxnC5z+G7l/OXlTXy+sJ69RhZ7+v+pT7Zy2t5dGN4jRippagXPfXw51x7ak3fn7aQ8FuLkSV2IKCqb69r4+1fV7GzWSRmS8b0KqSgI8fq8GmJhhU11ce76aA3X7t/P1XfphngBS9reUqgKFYUaCRJOtnppKBiJCEJIVDWFELpjoucHKGCZ73nUT2CbfKGktWGNqSQFEdNFQLaFiTdFMXSVtrYYBUV1pBqLOWtyFVVFEe56S+fgPyzk3P268eGiOi7ZrwdLnphHMpkkFMqMKvs/SWZg6F0AUn4y9wI6CVLa2tpYtmwZv7nkNIQQvHHTCPp2idClKJxOXpVNEuSXVHaW2ttsc2kdXOYK7W209nMkhG7afuqKV+UCoEoSUmfWqkZO2asyNyOZTYPiW0AzvrcDTmzKz1PZb2wJc9Y3ogrBzGWNnHFgV/7xwVY++L6OPE2hPBZCWH4o5GH6qdiRv6z6565uZvwA09lu6ZZWBnUPyObantTVpgCG5KR9unDTM+uY2LeQpCF58bfDePqjrdz98iZqGpL8/aOtVJaGGd03RjQSoJ3yP3tHGVb39R0FKkHk34x39frREWb0v4P+O+6bTavRmWuylemI+VUuu/qO1N2Rd9/R8dHR/g4CHh0R4nTkPtnWmGzXZNOe5OpL2zfFBpuG63hQPRlMs61V8d1bmHVUlYZ54rohGIbk7Zm1fPZ9HQDz17bw25N7I2IGtEnPGlteqFFT5w132inya2l3NcB3U7b1Ich3yqZcfiu5KJsmsj3tZqDmRXqdPj33CRhHnrHoAijuosJfjuCxGmCVUFYQoktRmBOnljOkVwwtLNDCCrGYitGio8RUzjmqil//ZQX1k8sozlct00OryqCM9ABSsn1ngiG9YlxzUi8TwOhW+33Rt845tCu/+OMyqmsTTBtRRFVpBIAN2+P075YHismHHDWxnEn9C3l91g72HVZKS6vONf9ejaYImhM6Nx3el6KIRkFE5evVDSza0sxfTx3M6/O2s6U+wZcr69ClgScAlr/LfYEPhKazfEcTx4/phhoymQQjheMgr9ghj8EJWZxO9Ci89doZ5pW0JsWtTZm3qYlDR5TjWKdYpmP5hfWo4aRZny44ZHwpDc06L8ys4U9vbgTgpTk1hBRYtmwZI0eODHj5P9H/FeoUSFm8eDH5+fmcvE8J1x7XizzNLWbLLK/rkpqGJF1LQo5zF5DbLMNP/g3ZUf/nuMYDAnIAFJtcG6UQgpF9Y8xYVU/v0TFzkoUMU22qWDkJNMljn2yhMKpy+MSy7NL3IIm4X1tiP2MQKAnKWuzWsFj/F61v4ZgJZXz2fQNz1jTx65N7saM+yWeL67n1xfWM7ZMPzXjzGthSSqC5Wefd72t5bNIg0GHh5iZG9cnPrkVpjwIARs+KCFcc24M/vbiR60/tRUVJiKuO68kJ0yo58Y4lvD6zlg++r+PAsSW8dOPwjOuz1t1eG3JtyB3dtOGHM53/HSZU2cjPELrv/V+hifmh1N576Ix0uLPgM5uWJFu/ue/7X9l/2erOJUHOVUdH2ppjnnnWTsd8JRtYybKwu4GKj0xzGrz96l47/dET/W207qkogiN3L+fI3cr51cm92PeKeTz54VYOHFNCoaY5mhmpSBpbdWqbXHk3Oko5wElLm86Rty6iemeSl34zjKqyMIs3tLD70KIsddF50Ov3F/G1wXNNLtPHzoKq9q7Ldr9sPidu53o/OHHfz70/5tr/g4CLb778bGoFD721mWhIYe6qZgSCuDSYu7aJXl3zSABtCZ2GxhTfLaln8sBCiiIqMxc1sGVHgmN3K0eoAhnC8lpPN+TzefUM7R1L39PqD6malhr2YxXGNJ779VDmrGzi10+u4fT9urL7kCJSuiQvT0mHIQa6l4a58IAq09Q8KdijXwlSStP0zGXqNXVAMVMHFANwzNhKrnlpBWFV4a9fbOCy/Xt6gKITEhivRkUaIFTYa2Axv3p7KY+dPBwzKQyEQgknapei2ojNZd5lARcpRTrvijDrb2hLsaSmkSkDCx2Tubq2JN+taeTifapMbZNqoISSSEMhUtJMqiWMIRXzGdsUTpxcyWdL6zhoRAnvL6rjtpc3UF4cZf78+f9xIMWQAmMXmGrtijr+L1CnQMqCBQsYM2YMN54UcNK1QDW16ny1tIHr/7mWeWuaee+mkew3psRbPkDCkFGfXc5dfzZTiUBJSudesj0mTtq7kudn1HDyiB6WaRegWhKBsARV8vin1fzquJ6otkQll027/d+vNfGfd7dZ+hZqP7k28y07EpQXhVhfG6epTee0fbtw3qHdQYHZKxqZduX3rFrbxoAeeeZ1mnl9U5vO3z7YwrqaONcd1ouIoSHjKgs2N3HkbuXe+3VUi+In1zv47cm9KYlqPDJ9Cyu3trLf2BIGd4ny1V1jOOR3CynO03h15g6a23QzPPEPASdBbXSY0EzpV0bdnXT6zDjXkWO56u5oO9ojw/c/1706Q+05CwfNuR/qF9RR7Yn7mlzXtWfLD8Fa3/bM07IB0x8LYjrCiOU6n+uYU0cnNZRucoOVbMAk6Bo3uHFdmwYq1ksIEtz4r3eTy2QMoLIozIwHxnH0bxdyxROrefycQWb4+yTU1qeorktyYJAfnJ/aA77W+Y21cc748zKSukTT4K1va3l/7k4+XVDPuicnUVUWCW5vR4FKZ0yrbMoGHFzt7vQ9OgKMOjKOAq8PMO/yCO58bXC3qQPCv1P2qeSe1zZSWRbiuuN6mYBVSs772wruOKcf4XyVpJRsqY7zyBubeW76NjQFRvaOYUj4cGEd+08sM02mZdp0af32Nr5eUM9fLhmYBRgKpDXOhYRoRGWPEcU8/NZmttYlueRvq8wmup/BvYbrmLnnbLDRzpp69/GDuOH11SzY0uj0qxuQOHlRDOEcF4pE6oJjx1WyuraVLY1tVBWa5pBKKOkwSMJykk/nbEmDFWkozm8p4ZOlO7nvi7UUxVQqS/sysKuZtPsPb27gzlP6IVIqMqlgJFSMZAhdVxH1Ej0ZQjdUjLiG0A1q2+JEQypXHtyT9xfV8Y9zh/D+ynoWLFiQsx/+J+gnc69dS50CKcuXL2fo0KHAUs/xtVvb+GppA899VsOG7XFWV7fRtSTEUZPLWbC2me4l/kQd5F70A9S0zvH2pJl+Zr+9xdIl4bDpF/t15Q/PbWD+1npGdy1GSAM0icg3kI0qFKRYU9PGmH6uWORB2iH/YpkNmAS1Vyd7232by/7jSnjuixqWbm7h3AO7EYupjsnEhEGFHDCulFe/387VJX0QYd2p44yHlnHLKX0Y0SMfUqA3Sm57Zw3frGzk3vP6e+/XXj9mAYQvflGDpgiOnVpOLKJw7Yk9CR3xJW/NqkUI+MfVg/lueSMfz68HQFVgzdY4I/tmSbLmomyChgzBXbZN1c9w55Kcd+T4D6UfUt+uuubH+Pn8kPIdASw/pn+zAYaO+p8EnQ9qTy5Nyg8GgB2oy18m172yamM6/v46JMxrD6DkSubo1mJnk/r7o4v5gYobnPjW85I8laevG8IBv5rPL59YyX3HDSBSqbB5vWnmpXZGM+sTdhiGZPnGFp54r5rifI0H39zM4ZNKmf5dHdvqkxQXqKzaYkYPG3f5XIb2iPHMVYPp3SUg4qX9+7+CL8lmudCe+Zafsq2r/rrs+ZOtLr+2Mkhz4r+Hf+/0t8MvAPTvWdY761YR4V+/GsqhNy7kzVk7uPaYnrw1q5bxAwoIhxUUCRFD0K8kzB9P74tMSppbDQoKVHQFLn5wJUN6xuhVHvH4pXw2q45T9+2Svr89rt3PYgk0ZUoiFcm5f17OkbuVc9LUSn42pZyrn1xtlrPXFgnowtSi2ABFmpU6ybIloEgT2DsaHAnCoLoxTs/SCHVtCUrzQ5aQ1yzrATx2O6X9LgSHjyrjD++v4cEThqJoIp3E2q4fHH8UoUpHqSQN67gFYKb1L+XVRdWM7RMjYZi8RyJlkEwZdC8OY9QppFrClr+vDrpKQ30ZRcW1Zkb7hIoa0pm3rYHJfYvYZGWj/3p9PYO7h5m5fHnAgPiJ/i9Rp0DKihUrmDhxIgvXzmbBumbW18R5d/ZOZq1oZFjPGCdNq2DGkgb+dd5QhpUXMmP9Tv79ZQ1Dewf4N9iUa2Nub0MOYp5/CNPlox4VEY6cXMbby7YzdpDFLIdNm0oRM6hpTNESN+jTNZJdyuZeOAMkOhlt9T2HdNm85spvlUwZfLmwnh4lYdZtb+PCY6syJLkn79uFm/+xll8e1J18RWXRumY+nF9HTWPS1OaGYGV1K5c/vpoVNS18fsdohvSMZVer+ylLnze0pDj1zqWUFWocOzWtmSnOV/n5nl145P0tnH63d5HRVEF9S8rT/s5qPQMS63rqc/rHzzD7TQr81FnfCX89ndUQdBQ0uakz12SbK53VRHSUOqpRyUUd0Ya5ye5H/7v3M265pMPZ6g1sXwev72j9HQUlndRqduS6H21t0ElzMG+oV+u/C6B4XAMNiwv2SJwlIkC406drHq/eNIJxF89h3bY4PWNRSsoFIQ1qm1OUlGQ63mYFTBa1tOgcd9tiPpxbR2FU5eCxpdx9fn/qGlPUNqZ4a9ZOfvXUWk7Ys4IrjupB3c4Uz362jb1/M5/v7hlHWaFGXbNOPG7QrdQU4sWTBss2tdLQlqK5zaAtaVDbmGT+2mYiIYU7f9Hvh69LEAy+/WtSR4SHEAxYsvnHdFT7HAREgo61N/dsvsC3v9pjZ88xJax7dgp/enEjZz+wnL9fOpjj9qw0efSkhBbbDA1ESlCgqNAGahjqm1Js3RqnVyicTrwILFjayLFjShFtBjKsgAq3Pr2O+qaUo61pSxgkdUk0pJBIGRyzRwVH7VYOcUk0T6UoplFbl6SsOARJkM2KeQ/DvaGZQMVIaAhNR+pmmG18kbv+9N4GTt+tG8u3trC5PkFpoZaux5N3BedZna9S8vaCWna0JFm3o5U+pQWBa7c7cpew/ivhFAhMDYhqEAknaUmlmDSgkK9XNTK8Vz4LVrQwsHsUmVDMtqgGRlJD6mZo49LKraBICmKNxJvyyS9tY/eBRZz/9xVEw4Kjx5fx3Jc1nLRXBSvWrsgyGP7nSO4ic6+fonuZ1CmQsmTJEj755BNubqxldL98+lbmcdzoSp49aje6Vkhaw8001RkMHxhD1sG7i2sZ26/A64/ipmwAJUiS4v+eUVdus4XA921totKSvjmbpAKThxTy8fd1EJXmQmEt8I3JJPe+s4mKIi13xnQbmGTL1uxro7997Sbeta6du6qZ+madIVUqR00pNyU8NlnM2cl7V/LYO1uovOAb+nfJ48Q9Kjhjv66ce2A3omHBH1/ZwO0vbuD0/brw7LVDKC3QMu6T0fYO0B3PbwBg0uBCj/SxvlnnoelbAq+Z9/AEBvTIAWo7QVnBik3ZTJc6qMFq95psWr5c9851fTYGvb12+KmTzGqnyrgpSHPlp/b6oL0xFxS9zT7uBjBuZiyImfI3I+i2gfb2uZv3g7QqnVn/2vONaa//clzvz8e3SyiH1iVjnrr9UBRvO4QEdOnJHC50sLNu+5nuIT3NNeXnB3bh1IHdmbG1lu/XNfOH5zfw+NWDM9qS85kVwd2vbaKuRWf7G1MpytMwFmt8PFtjW9Mqzt6vG2/N2smjVw/mhAnl0AYUwe4/L2LU4tl0O2MmkZAgnpSoCtzxi76cc0A3Ln98Nc9+to3eFRHWb49n3PbOM/rlaFQHKBvw+iGmkkHayPa0eu1pboL2/o4AEv9vN0DxjRsUgQTKSsPceX5/RvTL57LHVnPMXhWoCSCJud8ncfyXnHqTcPPxfbjj5fX89YyBRIXG85+blgJNjTrxFoPCfNvsCerqk/z5koFOHSldMn3mDmp3JPlqWQNHji2FegmtAvIlw6tirFjXxpTBIUgIZJuZDwXL0dwEFgIjoZFsiRDKbzPzAKmGeVKVIKGlWVJTn2KPHl0YVNrK3Z+u4Z6TB5hAxu4L1WX+ZWtWLL/b+z5dz/g+BZwyqQu3vr2W+48biqqoSAMWVzdT25pgzwGlTnJGocp0GxRJW9Igr8iMDvrkF1s4dfcujO2bz8OfbWZEnyj3f7CZR04bjAgbJLbmY+gq0lBMfxYtRbwpn3Cs1fJv0REhSV5S4+kzh/HFijpWbGvhnH27ceL9S5BKLYZhoCi72rzhh9NP5l67ljr8ZqWUrF69mttuu42tD+7OF78ayzPnDuWSA3tQ1SOJVhRnzbY4/cqiIKA5P8GD723mppN6d0y66Cwuru+K75yfhEh//PW4254DoDhlLLWtrdWcOLSQ2auakDsV4qsLkbUqtAl+/dxa3plXy+n7daW+OcDpUmD5sJB2VLcXTbdJl0tL8GOYAKlLkimDOauauOjIqsAyqhB8ctdoFj46gbED8/n3V9spK9TIj6rc+tIGHnp3Cx/dNooHzxuYBig2wAqSSnWAXvtqO3e/bEbiuPu8/k49iiZ47abhDO0VZXhP0971zAO7MmlwAX0qIoQCNtKsIEMR2aW1LsroYz9YyPYJvGeWT0fIX3eue3ekPR19J7nq6Uz7O0sdBUydfQcdqcd9zN+WwLXEdS7bu/U3x79WtXdtto//fND17WlQOtp/QW0Miqblbrrs3MchQ2Z+ctRpXkMwcDVcZXXMHCpJiUiZ2hM7+aNzvf3dekYtojCyb4y/vb2F8C8/o6cs5JETh/D21zu476WNAf0kMj+a9VFg0bpmjtuzgmJFAQXEOJ2F6nIOrhrG3a9vAuCf7281GV4ViIEIwec3jWb+TZOYfet4djy4O5/9bgyPTK+m/Bff8NH8Oj7/7RiW37AHn102CU1Jv8JoWEG6QzP/EHKPN8+z0v5cDSqTrb6g437BQNBYd89BzXUs6OO+RvXXY74jqWYCFM+zKHDqAV0oylc57o4l1NYmQUJtS5J7pm/kmn+t5u15tWYluoCUYHBxDCMJV/xjNdc8v5qt9Qm+XdvAgC55XPX0GjbVxlm9qZUZc+pIJiQiKRFWUtKQAUeOL+OrJQ0cPbGcW59ej9ypoteHMKpDNGyDsK4gmxVkUlg+IgoyriITKjKloLeZAEXqKqmWCEZcM608VImImPNmztpmJlSVMX1BHW8u2cq8jU18vrzOfHbp+hjWc0lMoBEyaIqnWF8bZ79hpfQoC3PBnj3400drEYrkgxU1vDh/Cx+t2MEnK3dYyRotgKKabXh8xmZ++c/lPPnVFuJSZ/a6Rg4aW4pQBQ+fO5D739vEuP755Bt5yCaVUHEr4aIWQvmthGKtKKqOFk4gFIOCilpamguRukCEJKiwx+BiZq5sYlxpGR9dNo5UKsXGjQHz9yf6P0MdZk9qampoaWnh+JoXCbeGka3mZCIpUApTiDzJ6p0t9KuKQAre/GYH/brkMXFgQe6KgxYb9/FcDOUPfRo3YxvgiCkkjO6bz9a6JNVNCbT8OKJAZ01DK49+VM3TVw7mb9O3cMjNC02g4t/0Ba5FVjiLpv2xmeYMyWDA9yByX/v1skYGdY+ys1mnT/e8zH6zNmohBP27R7nw8CqqdyZAgd+/sI6H393C9N+PZNKgQm/f+7u3E6Y6b83cwQm3LwFg9VOTGNrHm4sgYUjWVLdx0t4VjOqXz18vGchX945j7MB89rt+AV8urM943kDyMT6doo6AjM4yyrnq6Gw9HQVCnQE3WersKEh2j9v2Pjnv+UOBUWfrkjL7uM3FdPmZLPd9/AKIXOAjqK6g5/AzWUHP5WZOjYDj9rO6nznX87fXFz+COgVk/M8B3nHrbr8u0x/LmZg4ZmjhFOlALC7ptzMeFcEjVw/m+zXNAJzy7Hw21+i8cPpY/vTCBp58M63ZlQLe+noHVSd8Tfigz/ndP9ayYnOr1TZYWxPn+5VNVJWHIQVGvgqqYP3OBING1FFdl+CSY6v4clE9UpHIBgVjSwjaBGXFIYaNjzBkaJSiLipThhSy7IGJbHpqMksensDuowpRS5NMnZDHy1cM58w9u9K9JMT4AfnUt+iZa7tfC/Jj3uMPvT5orAdpWYLGvX1NBtAguxBAzXE+45lE+r+7jHW9qgk+u38sUsIRdyymLWFw7ZNr2HdUCXef1p9PF9WxvqbN7OeUqckoiYb40/EDuOuEAVy2X0/uPH4A1xzam3tP788fX9zIk+9Vs3F7gjXVrWzaHjfHaxMWeIaBlVHGds9Hkyrra0wfi2QC5qxvYnhRialBsZMeus2wrMzwiqqjaKaAVKiGycADMi4QmmTWlp2MHRbileXr2HN4Ic9dMIwpvUrMSgxhak6SStqvxalfct+nGzh7r27Y5mNjexWyoyUJQvLx8p3ceHA/fn9of95dvJ2b317NlS8t5+731/PtmgYe+mQj1fUJ/n7hELqVhvjNi6u59OAqE8BoElUThCwnMKFIEjtjpJosoGWYE1VPhkBI9KRGqiVtFWK3VSRUfr//UH718lqGFJdTVVbA2rVrA178/xzZ0b12xecn6sSStH79eioqKigssZIZChARA1GoQ1TSQorXF2xnyrACEPDkp1s5da9KRC7mzL1g+MHJLnqS9hOQZQIUDCiMqgzslsf8zY0osRSzNzfxyydWAvDOnJ1UlYYpiqr85pm13gVaJW1EJ7wLYy6ticc0qROSsuc+2ca5+3ajsijEoLO+5eO5O13PZn2M9OfjeXVMGFTAGX9ZznOf1fDBraMY7k5oZm8AGQycr+FZ/Dle/2Y7x96yGIAPbx9Jr255GW0+ardypgwt4ubn1nPH2X1RVMGd/17P3FXNlBZpnHuP6aeSyfAK76eTlFNrtSsZtY4Ak1wMd1A7foj0tJ063f3RKeDRAerQ9f62daBP2q0rG+Uy08vWT0H38TNk7bW5M+As6HzQtYrvfBDZ8zNoDGbri1zHO/vpLAU9h605cIMtB5RhghLp+u6uSxUOOLG1H5OHF7Hm37ux8OlJHD61nCMenct22cTe/cu58KGVHP/7xbw2YzuTfjmHs/60lD1GFTN+QD6LVjYx+cLZvDezlg3b2tjvsrmM6p/PXsOLQYLSrKM06ixb08LH62q57IgqHnptM3uNLEZuDpHcHjX3zHxTGuy0WcFMrqtCl9Iw+XZ+KM1k6g6bUMaj5w9i0V0TaGwxePmr7Zl9FjSu2htvueZye++uI+M4m1mkf5/MBUD8YCXXnIPMNdf9HNb797TDRZUlYV743XCEgMP+sJDDJ5cxbkABKHD5gT159ssaZNIyiUoKzp7anWe/3orfv6c8L8T9Zw7gtp/35eQ9K/nN0b2ZMb/eBCitwjQhM2BwVZRl69o4elQFz3xTDVLwwOcbuHBqL1Q0ZFLFaDbtxIVmICI6IqyjRHSUvCShwja0aIJIeRNKYdLUouQbpiZFgY074wzvFeXU3bvwz69rKFTCKG1RB5jIlOJ8vl/fxK1vr+XBjzfyy3+uYHiXAkaUlmC0akhDoBsSPSUwkqoVtU4gFLjrZwM4Z48q/nLyQI4aX87q2jb6dcvjxuN6g5AcPrqce08ZyLAesfQ7U+HKI3sQjaom/6hIkKZTvjQUUvEwhm4+d6I1SktTIfmF9QghMZo0ktujJP8fe+cdJkdx7e23uidtTtqknCWUkBA5miSCQQRjcjIm2MZkDJhobAyYaDI2BmPANtHYYBMNJmeJJIECynm1K2nzTuiu74/unqmp6Z6ZFbKv7/04z9PP9HRXruqq8zvn1Kn2EgaURfnpjGGc9fRcKqImy5cvzzMY//PkmXttiesb6idIqays5Oyn5vHm0g0QtSAsIQIyIrnksaVcfuxQSqImby/sYNaSLk7dtyk41yCAEkRBZip5JsyCAEUlW1kEXZq5Yx2XP7mUzr4UJ98xn9EDY3x5z3Q+XtTFUbvWc8tJI3no1XWs2ZDILouqPaE4Ji9Lwlhkr7S2J5m9sItvTa5m9e924KyDB/LY663BEaTk8J3rePXTduJJm3dv2to5DyVdCLLbMx8D5GO6tnR9H0f8wtGgfHDbVPaYWpMdzW0HIyS46+xR7Dyhkof/2cLNT63k9r+u5vidG7j2+OGs3pBwTBtU8us7P8BZBIjpt4Civ2ZVWWUKuPpLX4MZLqztEIWvYsPlafuCGpd+hC8IgPxAdLHtn/Utk59B6m9/GD55eM8071EFKcgRQyEz2KD6+z3fXNOi/oIVPazudc+VZGMpl0dC/1UAipH9rrYyzNhBJVx28jB2nFjJX+a00m0luO6I4Sxe1ctl9y3hkOm1XHj4IN75vJ3muiizF3XxqxNHcN6dXzH55A85YLtanvjJeAZXRRwztC4beiTPnTeZpz5s43u7NfDcZRN54JjxWN0RjLCFKLMy2nWvrhGy9yx6zHvUvVwAU1EaYv8pNfz80eX88O6v2NCZ7EfDBpAPs54uR7EUFLZYYKEDE1P7r88Pfpe21mYVQ+Jq25VyBVA0YnDveWN5b14H396+Nh1+YF2YpW29zFrRSUt7AmkJhtXGeHthR3aaKRzTqbiAHqAHthtYwYdzOh2A4jreIQnbDinntS/b2aqhgrYupy9XbuxjmyGVDh63DLAFdsJ0zjPx2saUiIiNCNuYFXFEpYWIeRteBLLHYO7COOVGGLvbZO9RAzh8YiOnPjQfOyWwuiPYfY6TCO+AxT990MIhkxs4YEI9Nx0yjoPHDMaKh7D6wli9YUiEGV9XwRH3f8L2Q6pACtfEC4YMiIApGTuwlKN3qOfb02r95zOvnQwY0RhjXWsCUWIhQpbjzlg6rpDNcJJQxNEshaNxwuEE4dI4VkeEVHcUI2QTKk0QKkswbliI358yhmE14f86kPINbVkqekpatmwZW2+9NTcfP5LlHXF+8PBCfv/2Wt5d0MGVjyzj8B3rGN1cAgZc+/RyfnRAs+OlQs1JZxA2F6DkoUDGRTfx8stGfSwEvzhpGKUlJtN/MQtLSm49dSQjm2M8N2sjh207gIkDy9hpXCVPvdeaPWm695srgS5EHqBZ6W6u/M5NX7ChK8mB29Tyyscbc81BPEmkDZOGlvHeLVN55vKJ1FaEcxeSggXUAIpCK9fHqa0Isf6xnZg2tiLrvVqve55Zza7nfkpVickz77Xx2Gvrue/UMfxs/5FsN7yC3rhNR4/CheQDl19Ds+Kfns+zYkxm/pN7PfJQcRqM4sBcTpz+UJEAZktqbpx8tRdB5m9FAryiw+WjIFOtwMpspgnj5sQvBCa+7hgOSj9I8+KnNdG1Jxa5jGeawfXm31yA4qSZaZufHD2Ef3y4gefnbOSqvy5j6IAob181lY5uiyseXs6jF4/nqWsmsrI1wadLu9lnSjXP/Gwid5w8CtErHMZUAgmg18n/8Mn1vPjxJvZqbCDWWYMI2YRq4w7g0Jk2U0A4s14QwgnngRev/BLO3n8glx02hFc+3cjEM2fx13c1YZQ6j+vU3z70G9v5gK1fWPUK+TxT+0YXCOQD+Ol4Imut9c1XJ3U/hv4cmDi8lOqyMO9+1ZFOwwgLOuMpXp+3kSv+uhQpJY+8t47v79qc1S5SOpoWmRSOKXyvQViYxHtBJtxypoAEDKqIsa496RzKKAQIiWGIzMnsOKZdMmUik6bjBSuZmbdExEbEZKavLYHsc0DI9c+v4KLdx2L1hrH7wmxdX8vMCU28OL/VMaHqCztaFMvgwXfWMqSyhAkDKhleWU7MCGOnnI08dsrEioexEyFO3WEYl+8/kpfnt/HZqk63DUV+jZxPH/z9ozbO/8Nijt6hARGxMUuSiJDt1FUK50DHkIXn2jha3k2qL0yyy7HGMCvimLUJjMoUoszGrLKYPCTCsmXL8hTkP0/fmHttWSp6+lq1ahWDBg0iWik4fq8G7j1zNBNGlfHwGy3UVYT41thq6IO3Frbz7oJOzj1kUP4EC0hR85bYJ3xBhiwfBYCWSNjgscvGc8D2tbz8y8mEIwZCQF/CpjpmggWH7lDHM++1+WpP+kN+kmL9nZ7mhKGOmVZFmckpdy1gRH2Mla1xLM9mWwcr7u/0keWY+mn2foxZTiFloAmbFLDL5CrWPb4T1ZWhwHKvWB/novsW8+ODBzKgIowpBPecMpoDR9eDKakqNTEN2NDpuSH+93yoefsnUELow/AGMb6bk28RlE+bkGHU8wAEn82jX+tSya/evuGKKF8/KWvjNeQXbGzuBnOdQQpKKyjvfCZR/QE9eaTHRZPf/LC5WhOP8u2ByVd3fS+NGl4FJhYOo+fXdt6v4fON+TGmwN7Ta1j9l5144aYpfHT/tqztStLww/f4bKWzb2XY8BIMQ3DEHvWkbMmydXFG1pRgJoUDTOKk98bIHgNKJOHOClLdgp6WaoRhY1YlHA+RfmWy3EKZ5GqKbDKepgQ0VkR4b34nb14xhdtOGsVJty3g5dkbKZr6C6z94uSLW8wcIbRL3deVb19WHnBSlEDDwB/wamNCmILvHdjEhfcvoaPX2Wv6xvx2dhpXyQUHDWFUQ4w3F2/itQUbGVgdJe3S12+dxbF0qIo5+y1kpwGdwgEcQFnEQOAAlIyXLDt9ScsxzbJTBnY8hEwajqbGq08KSAiIC2RcIOMmS9f3MbGhkqhpIlMmqb4wVjLEzK2a+ducFj5f0875z87hD2+38ONHF5BKCn6403BkKoSdNB13xqbjocIwbefkeNet8LQhFdx7zHhuf30FG7ssB5C5m+7TZZIiU39TZp659MHCLspjJtU1JlgCo8L1TAZpYGRbBkbIIpWIIEyb7o5qEBIzlnQO0o5Kx2yyXEIZDGmKsGrVqgID4D9L35h7bVkqespas2YNzc3NEMPxVBITrN6UYPyIUs797mCIOWZflz+yjPMOGcSAynDwoqdLPfMtjrrJgg/1m/Hz0ar4mloJQVNNhNvPGMUg17WvkIJISJBISUgK6krCbOzKnOuRb9Is6FbYJSmCw6oMaThikHhuV168bjIfL+nm06Vd1FeFuU917+vZdUN+u3y/+3TBcyuk1zOZspm9oJN4yvZnmN373zy3hnhScsczq/lidS+7Ta7k3AcXIS3BI7PXsNfPPicaMuiOWzl5bmkqWmpf7P6SIvLyXF33V1ughi9orhVUvv4wKsWWLUjaqefTnzIUAVQCPUP1p7xqmc08ADQIgPht7i6G1Hmvv/s4CmmVg8aqPgfkYwQ3p1xqG+ib+Atdfnl6jKQKVDzNRVBz6/XOAUO59yVRk72mVTN+cAnPXjeJXSZV8q/P2qmvzFgBnH/EYJ6ftYGDptUypN5ZB2TCgD6R9t7lbV6uC9fz13e6WB9ZzVxrDe+u2kRvwt3w7u1X9BwvWDib/hM4JkK9QLd79QI9bn1MkH0GqSRURsIcOb2BW48bxel3KWdESOXXAwF+VGhNLkTFCC50MOJd+hyB8jxoXggSBlFYYJNrTUHuONfG0pUnDqOpNsJel3/Oh4s7eey99fx4f8dr5l4Tq7nz9ZXUVYQY31SaGZ+GV1TXHa87Ib0wZwMHb13nhEs5LoW9Q5qlAd55JWnXwAJnD0rIAQdOWmS0KykD2Wtid4XSWpt1G5Isb4mT6o7yzNwWZk5oJtUXda54lERvCRs6DLriSf61aAOn7TSY0fUl/PrQrfje9oNzule6G9i9U+WlnWnEcEhw3t6DufTZhXTEk1kn2Ke/WRUQphN1fn5+7DB+fswwLnt0KR3dKeeQSikc7Ylr9oXbHqV17aR6o86ZI8lwxoNYFCgRUCogCk11Ydas8T/O4Bv6v0FFg5S1a9fS1NQEYYGMGLw6t53Plndz1mGD0mrrf8zewLyVPZwT4AoXyAUo+agIMy91Ispi7AtJZTXPUNmMtfdQZv4r5S2NGmzsTmF3m8xf0cvEoaX+EjytTEHv/QCJr7maX50MQXVlmMN2HcC9L67h1u+P5ML7FrP1D2fx2eKu/ADFq1d/GKSAfjv15gXsdv6nHPHzL0hZMres7ubFbcaWM3pQjPfu3Ya375pGa0eK42c00lbRy+n3fcU78zuIRQzGNJdQUOrvVx+tbTZbWl9ofPZTMhl05kQxi2vesVCMZkRlWoIYCP1Cu/fo60rbs+oR8Nz7LtV+Uu6z3dy6lxXAueoAQmeEg8rg99xjqj0PU94zz6TSe56UDkPtXV6+apo6CCgWGKjMfSFzKZ2C8tocUFJMfn75++Xjp9HRk9RNpfwAiNsm6b0Ierx8JJ0N1M9eP5nXbtuaBX/a3jkZ3oZtx5Rz6w9HcfkTy5z9ICZY7RG6l9Vht4UcxrPSNacd2cePtpvOX2a38sWqHla0xjnt3oWs2uSafEUFstRAxgznfwLkBgO50UR2GMgew2Fmk858Kbudd3e+uZJoTJBw91h8e1ItKzck2Ouyz9jUmcpuM++3GOCRD9AUEy9o7vATWnj/deBiUFgg4DPfipT0X/P1Sx87ehmV+S4SNnji6onM3HUAe172GbOXdGEJCSHJduPLefLcragsD9FnJBEldlZ59MP3vlrfy7iBJen0pSVAgEwKyqMmrX19mCGIkyIUAktYaZe+ImRjRFLOvg0zUwHvXsZNlq9NcsmTS7jnlXVc+uIXLGjpYWhVWXqCFEJiGDZ//WIV5+68FWdsM4nxtbXsMLgOw8DxIOYBDemBE4ch8bQawrQds6+kYwY2aVA5Vxw8jPOeWkB7l+0AdLUTvJPsvbawcfbpuFRVGuLimUO48InFbOhMYpQ6x1eEyuKYkSRGyHL2cJk2qUSEiuoNxOMxUt2up68wyLBARhw+tLEhwtq1a/lvIj/P65t7fUP9ACmeJkWGBbMWdvLcBxu44oRh6fe9PSnOv28xVx87jMpS7YxIfTLIYSb7X1I/hl8KcplQv54u1Pv5TEYMOGiHOm76+0qufnURt720igO3rw2UiheSlqvfc143nX4jV6nnVccP5YsVPTz8rxauO344355ey8FXzWX24q50uXMWC3zu9UU9ACiq5Xzh/Q384/0NzLplGnOWdPPCBxuy01YWpsN3r+eLP2zPaPfAxm3HV/DG5+2UlRpUlTm7SI/eq55I1MgtW1Z7BJS/kJQvHS67XkVJ3sj9X0gjUlBrUsQm86ywqitNvXz5mAa0+3RGBS7V/p+AvL4O6f3rB1Dc57nncLi/ustd778plD0KPnmpUj8VaOi/HvDQmWzvWdA3pUps/X7VMCH8y+hHnmmQa2rkawYVBB6CNBl+4TY3brHgxw+keeMunacWV11D9LHt9WE6fb86+JRDYerLS0x2nlTlHNSr5HvEbvU01YR5d2EnAGZ5gnBJH8n2krTGQ3Y5B9KNqK7hh1tP5Ljtmjhql3ru/MFornh0GU+928rT77Zx/wtreObtVrBdEJIwsOMmafOhpEAmRNrtqgzZzF/ey29PGEdVJAQhaKyLsOKe7aksMdnvZ3NYtdHZn7h6Q5y3v+xgwcpeZH+5nHzfsj6nFDPPBmlVvDCqm36UOPnmbXecSIHzbeMv5MuEd9fMtODRpz5k/8aiBlecOIwFj2xP0pYce8d8uqSV3iuUsGzeW9KhbGSXzmVKp04hh3Fv701RETMdIBByziHxziQ5ebcG7vjXKspjBkfcM5fn5rSxx62z2e3m2ex08ywe/GClo1ExlcoJ6ZZZ8t7SjVz17GJuPngCP58xnjOmj+Hm/adjGs6BiEY4iRlO0pOK8+HKDUxpriAcTmQAhXZCfdbkqiw6QriaIelu5E8ZDCwv4aoDR3Lzq8scU0dvP46r3cmai8LSMdGC9FqyVVMpV84cxtXPLnVATsTGrEkSbu4hMrgbsyqJCNsYho2UgqqBLUSbuhwrHlfoI0MCwoLGoSWsW7cOy/r3W14US9+Ye21ZKhqkrFu3jsbGRuav7OGB59dy3ekjM+PahpueWkVNeTjj0UtdiKF/GhSfUuqSZi9f54R4VXKixPM5A6VfJx5DrprZgAuPGMyHS7r4qrWXJy7biiP3bOh3lfIeZuYTtqMrRU+vlRXXKZNT7+rKMN/eoY7xQ0r5bEkPIgVbDy9j5s/msnKDcnpxPumxGsaPchhKeOXjjRx7/Tx+feh4tqouZcY2Nfz4zq+45ckVbHA9lyBwJueE0sAuA3zmIQOZv7KH6Wd9TNgU3Hj6SK4+aXim34qRhOp1CmLS9Tr4aFYCNRoFwEmh/7556l6z/N5nPS+ingHatkANkl87eQxjyj2ILCkRcQkpqTHC+DN9xZCvRF1jMLXD/wLjeWDEFMiQe5kBGqp8GjA/TaGB/wbnEM6zsMg2FTOVZ959WGTH8e6VcmfFz/dfzcPbaB0m4/ZcBwYe2PIDFfnMGPvhrKRflA/A5AhmlHu17b06qwIQjZH1BbMeecDbDxB5Vxo8ZQI010WZv6IHwiBiEiPsMkZlEroE8TUVrF87iL5UlJLmTYhKG8JQXRnip0cNob4yzIDyENuPruAvb6xHtkCqLUZiYxnxTeVYPWEnb1NmvkcTPlsYp9KMOaeQWy4TKCRNlREeP28rastMhp/6IfXHv8uw73/IcTfNY5vzZjPq9A8557eL+Oirzoy3xEJA2A9U5JkH8wpE9O/NV7Ai8n+TQcXU+jfjyStzCVfbKSTZc5efMMaHmuuivPCrKWzoTrHdRR/zwYpOCMOvThjB/LW93P7iKnd+cBfkdJ0csLLdqAr+tWBjuh1ESIIJ89f0cts/V3Hriyt5fFYLo4fEOPeQQZx3yCDOmTmQM2Y08ZMnF3PveyszJ7kLwAUDwpA8ObuVu44bQ2WJ4wFsUHk5oWgcM5xKAwth2Kzu6WCn4dWYYQszksAIpxxTMkHak5gQEiNku3k5dRGmjRl2EEFaoxNytTi2YGhVKVHD5L6X12MlpaNBsUD2Keev2DgaQW/Met9dCAbXRhk3oIx353RDTDp7THBBu7vXxYwkiFT2YpSloFY6nmRjAmFJjB4bGTVoaIphWRZtbW3FD55v6H8VhQoHAcuy2LhxI8lkktsfXcEd54whZIr0Ijh/RTc3Pb2Sl34xObMhW5/I9Gcoz7wvRqViFkkXvGRJX7MWNiUNHZwYIhiw6BJQtTwGTBxRxqKHt/c14fH2HPhRwT0puqTVzS9lSwYd8x7xpKSuMsTogSWMH1LKtacMp74mkq7PV6t7OWqXevbYvYqKkElTfZhT7l7Iufcu4slLJ2TXLYiy+i24D2xbcsffVnPZ75dw7/fHcNy0OjBs7jltNM9s08a1T6zgFw8tY+ljO1LlnmIvTZFZENw6jh1ayge/mc4D/1jDh/M7OXPmQIwsM5887QSZPrTJMPKF2tmToGc98ybW4MjF7CHJvyG/QAJB70Pu881NO59ENR9jiCex1NPy+cZ1oURgWbS0fNo966wgn29Rmplw/d2PlrPfy9DfqXOGFll3NqFSkDbSczbht5fFL40gjYNO6l4OP01OMVTsnLu5e248KkbQEJSFCkCC7sHpG62cQuJoE0IB9fIT2PjMLd54+XxJN5ccNthZd/oEic5SQiV9UCGwW0J0dVQD0FS3GlFuZ3noGtNYwphBJWDDpo4UA8rDyL4QUgpCpXHn9PBECCNuIaIu+Ek45R5fOYBIaD0PvrWW7UZWMHFQGUhHih8JGxy4TR3XHzeCjl4LMyzYeWwlPb0WJ9wxn7bOJDOunMN2o8t59OKtqClzl3y/Nc6PgsZU0KegAxq/tIrYZ5pD6nxga/+NgHnABmFkfqU333hhgzR2SpnqqsO8eOMUbnl8JTMu+5xHLhrPQVNq+cF+zZz9wKL03BhP2Xy5qocvVvawdlOC0pjJXhOruPmZVew9pQaAjZ1Jznp4EU/PauWIXQbw2i+nsO3YCrdNsssxZlAJB/x8LodNH0BjLOpsnMfRwiRTNlJKSswwEhvbMjFCDvhQ95AIQxIyIWE7HrOMiAtQTNvZjK/sAUFIBAJU07L0OSYOmJHSAkuwpDXOl+s7mTmhiS/XdXLew0v49XfHZWtiUnYGbBs4m96978EGyiSnH9jAL59aweJECcfv3QAxEK6azO41idZ3OQCnVDpOJCLuN+0KgUTcptQUlJaW0tbWRkND/4XF/w7aUp65vvHu5VBRIGXjxo1IKXnggQe4+YxRxMKZr7i31+Lo6+bxwwOa2WFsRe5i4wdQ/BhhFahok1iOyYu7eAT2YQDzk5VGMeQzgerScpVyQEg+IFRk3lKAGTaoLA1x5cFD2XZoJV9t7OHh99Zx8o3z+fsvJiHc/thpYiVPvrOe03ZpQnY79qTXfn84407/iHkrexg/uDSTtt/ilG/BUN4lkjbHXjePTxd3cdAOdRy/WwMknEnIsByg+PGibgYNiFARNYMZYZfhDZmC02cO5PSUAjYLtY2bRtaeH88nvq5RU/NUGTrfNsjuM9/9IFnpFtm/6t6RYpi2Yhdvb3GVMsNEe2VS8ERWeI9sJazvhntt/Kr/gxgQ8GcC9DqnwaUsDrz7MCL9ncNzTSi190FAo1jS46hmaMUIXTYHoPgwbJtNfqClvwBlc9oNssdpWkscEEaXxKPca6AzXaZCTHnA+FTHzA7jK/hkWTd7TqpGhCRmJIGdDGGXG/SsryZphampaqN02EbHNEU1MRKk+2r2wi72nFiF1R0h1RclVtpJuKIXqzeCFQ85n7EbR5g2oZIElx4yiKPumcfL8zbw8ImTMaQFQvDi5xv4dGkXP9iniXDIcPKxoLPHYuLgMn5+1DC6eixOuGs+37rkM565cgLDGmLBbVyI/IZxsYIvPzftxZLafwbZfRpA0szWwAoDSEpHWOZp4KTySyasmqdpCn5yzBBGDyrh+Bvmcd5hgzn3gIGEQoINXUnue3Utt/1jNfGUzYQhpQyui9LameS8hxaTsiRftfUytDrGX2e1scfEShb+ZlsG1mVOU89aE1ymfteJVew9uYprnlnGHUeNdfeKQEtXnBteXMGA2hCixMJqixEujWdYJxxA4dGoAaXc994KhOF66gpbzsn1IRtSBhiSues6ue21ZYwaUMr3dxzMgJIouO6Qu7slXXGLN5e18eK8VkdJJEwOn9LEO4vaaU8kiZgG7yzoZKfRlU67WyAMI60FEqbtmMolhHNQaRQkklCV4GcnD+P8BxZzfLjB2RRvgFxvpDtOVLqA3QRSIGMuSBGCucu6uefJVZSVlf1XaVK2lKnWN+ZeDhUFUlpbWymJhbnj+AWInoytrrAk5/92MeUxk18cP6y4HPNJ6vN6UBJZ91JbRHKADOQHKD7v8nnVSuehx/djagPyUPee6GV2zNa05wqzfduZo/jhrxfyztVTObJ5IAduXcv2V3/M9Y+t4Kdu2x+/XyO3PLES6UkwTGiuiDC8Icry9XEHpBTLJOeRdp1z9yJmf9XJJUcOYcHyXp75YAOWsCmNmQxrivL0+200VodZ9ND2jlYkSzqp3Bcy6VKlpuArbVX7LFCyXih9P62Kn+atPxTkZUv9LYY8IOEHvLz3hSgfn1lIa4X+PqAcavACYMDXjCunXNn3m62d1Ckv07+Zi0K+NIP+B1EhMKO76dWB6Ncx51TJUPLK+T6KiP91KB8jrDO8xQLLQA2eX9hcgAJQXR5yNs4ngRCEyuJYvRFEr008XkLISFHStAkqZG4bSZx4QF/SJuruuQtFE2BI7HgoUy2vT4UkkYAXF67h2c/aOH/GIF75agOvLGth3/G1ADz3yQbuO22MIwV33RWD44kp6lo7lEdNnjh3K374wFccc+M8nr1iInUVYfpF+TQk+nPdTC9dsS1ERY1fZw6XQhM+QEYbrILIIuiw3QcweMAULv7tYu56djU15SF+98pathtTzu/PG8uMbaudc09c6kvYtG5K8vS7baxYG+flX0xi+uhyJ4wuLNPXZQE3nzKSnS76FEMIhA3PfNxGS2eSREoypinGT2YOIlSaTLssRuJscMdOAxVDQFcixZquHgZHI9hJ0zVTdDLr7EtxxxvLuOu7W7FyY5xrX17MmPpSdhhWxZTBZfzspUVUREJsM6SS3xw5AaSRTnuvMbVgSKwU/OjJL5i9qp2lG3vp6LXYYXglp+w0yNXGgJA2dkcIEbFIyRRn3f8VZeUhEBC3bH5091dUV4S44OBB1IYNZ/iHpANubNjQkaSs3CSCybK1fXyxopfn3mnllnNH8+G8L2ltzXOI9Tf0v5qKAiltbW3UVsYcG0+FAf/dP9bw9NutvH/zVEeKA9lMiq5FKdKUKE15mJPcsJqkupAGpQCQyJuHfq/G1cMEgCE9HalLrCGLST9i7wY+XNDFd+/4kpfO3JqGigiP/mQ8+1zxOQOqw5x20EAG1UVJpCSL2voYXelsTJcJyYauFKUxo/Di4lEegPLnf7Xw1FutfH+/RsrDJrtvVcmCxT3suHUFnb0WB/1yLqMHxXj+l5OzzbYKUZBEX2j3qgTQndRV1755wUEQ5TP/2pxwvmOvQBkKUTHMmN8erLwAJc87r63zaUy8cGo+RQKU/oILHdj7xi9kvqNS0MbwfPNSsen7pa3H9WPk9LhqWfy8lPm1dSEpczGMvG76EqThKVaCrqadL04+MOS3dvgxxb591I/Blifs+vYk7Z0pkI65l7QM5/yGLkk8GaW2bh2iwsp8E3ofueXcYVQFtz23mn1m1DkH8bng+IbXF/Dox2vZe6tqth9VwYeLOzEMwT6Tq7n7pDGEqyS77lzOqXctZMb0arAdwJOzr8KE2tIwi1v6SCZtwiGDkCm48jtD2f2qT9n78s+Z/etpGAXdWfs8C+qToDAQPI7tgHXGJvc7CBLQBI5zZZ7RwgnpNpcfOChA242v5JWbt+aNTzYxb0UPO0+oYsqIMt/vOxY1GdxoctYhmrdTPawPQMGAUYNK+OvlE3jgxbVICXedNpqxQ0poro2w3YUfc9ZDi7jhuyOpDIcRloVMZOxyhZDOAYlCcP1BY/nVK4u5buZYsAykaZNISsIG/HNBG8du20Q0IhhZX8Kth43n8zUdfL66i8c+XktzVYTz9hjhdIcl0iZiQkhH2yLANAR3HD6BL9Z1cfqOZRhC8Mt/LuLpT1vYb/wAkljUlgoWrO6jtSPFw3OX0d5lc/dpIzBK3TGQgnXtCX76x6Uct2s9e4yphrjASkpufHYlLZ1J2npSVFeaJIE9tq/llgvGEpZQVxH6r9KkqMrtr5vON1QkSOno6KC63Nv7AKQkb33azgX3LebZKyY66mOdigUogdJs9V4L75n0uJKSwDgBnrCy8/EHEjlh9Pw9KpRHPiY2SzpeWBX+y9NGsKo1zu63fMxzp09j6vhy/nbVRA66ai49cZtzvjuYUw9o4rS7F/LPqyZjIkgJSVtniubaiE/ZtP8FbIU/mN/JD29fyJ8u3ooDp9VAAn768BIu/fZQKhpN/vxGC0lb8vjPJlJRGspum3yaCT/mOoh0Sb06DrLS9K+Dr6Qfn7BB8YtZ1HI2rhcInzctcuulpxs0Hr8uBbWVSoVASda7AOa9P0Uq1P79ASV+belnclosFeP6V38WVB9Vk1EoLb/3ajrFxoVcgOLnNMfSfsGfoc0HzNSyFaOpUdPywKSt/dfC5t2zVOA78dt4P7Q+yoqWONiQ6oiS6o0SG9gB3U4msebOzDdjKXE1c7y6ijCWJVmc7GZUdQl0G5gyxaUzB7Our5dbjxvJ24s62HdKNQ0Dwk48IZG1BguXdjNuSImzcltwwNY13PnCan6wd7MjKJQiPW7227qG179sZx93T8TDr6/jmYsnMuOaz3nriw52n1SVqaNa380FJ4VIdZsNYMjMXiKLbPPClBIvJB1A46d98IqslN9PkBE8DvKUN+CdEII9tq5mj62rnbQhe98eivbGJhekGT7PwJdX2nliJTtvVZl54Nb9zz8Zz4/uWcTFTy7m3uPHIpOZDetCgDQkwgYpBdUlYaJhgy9WdzOhqZynP27l73PXUxkLsbq9jyv2H+keIgnSFkwZUsaUIWUcazW7Z6HYDrhx08y0A24jO2fHTR3k7q8xJFceMIrfvbOCMx6by5CaGD1WkjENpdSHy7l85nAWrOjlj6+s54T9Gpy264HGcIR7LhjLnX9fw99mLaav0yaRsjlyt3pmbF9Dn21z+h1fcfdPx1JSEXHWxV6LqlJBR0dHUC9+Q//LqWiQUlEaQhogLFi0opcjf/kFN35/BLtPcSc6XRKgUj4pmF8Yl7IYT1+GUZDXFKYQ49sfcKKWoViJuh43PTn7ACN1UgtYBEKm4KFLx3PKDfO57NlF/HnweHYZVMmLV0/i4F/Mpa4qzI1njGToMe/z+Zpupg4rJxwzGFwXYeX6OKOaS7LzyldWlz5b0s1v/7GGDxd0MmdJN9d+bwQHTqmBFMxf0UOiGyqqnBl61qIuJg0ro7zEzAEoeRcMv/0ankpem/xzyukBViWvvH2ha/mKMTcKeldIEheUhl68QkAgB5gVyMcbX3oddWl2viEbpKkohorxoKcymJB//4P6TmX+AttXZBjX/pzh4afRCDogUO/3QiComOf5yqPG89OiBMXP0WTliaNrw4K0PSp5Y1ONozO8OVJy0nsnstcGrex5y6swdjYOw+sDLFUNXL9NA72cpOS9eZ088moLs2+dBhakeqPOqdiVNrLNpG7A2jQISZdbB3EGjgvblM3aTQlnv14MRMhGthoI0zHTEsJgt3FVjvtWqcS1JV8s72HHUZVpN6+HbFPH/a+t5YXPNnLwtAEuU+xkuWx9HzOmON42+xI26zqSTB5axkHT63jmg7ZskAL+80HQXOMH4gu5s9bHk5p2CrL6NGstwOlf9YT3PPNzluMNtcwq6ftWlfsscOvjfCfHXNsnTHq86WM/n9OMdAVEBsz4aV2ArceW84dzxjLx7Flcc8gIag1HUOyZfgkE0pDOxnNDcsleI7no7/M5ZFID7yzZxP3HOY507npjOaWxTJnSBzQKr8Du35CFkI7Wz9P8SYljZqj2jVdFITlph0Esauvl2oPGYpYmMgdFmjaDxsQ458+LOGFXAdXS2cOVAMMQ/Pi4oZjrE9gmbNqUpDYWRkYEf3p5Pcfv20CZaSKTNjJsICxJZcl/F0iRMqNx+rrpfENFykQ6OjqoKDcRNnw4t4PdL/yUk/dp5PT9mwunrk5qQQBFo4y70OIBjW++6qVToGcvkbn09ILSKLT/wO/ejwQOUy60C9ISTsMQXHPqCP7xRStvrtyI3RZm+6EV/OH8sZx9x1esWB/nwO1r+d6tC1i4shcMZxPeTx9cmnFDCZn+CDjNF6A3brH7+Z+QsiUXHjGYOfdO55xvD3QlQXD7M2u45rsjnMAWXPydIcz+qpMnXlufaUNbItzFOqdfC5FBNuOkAwytvOpmbOdXuSB74dLTU9uaAs/1vPX+DernoHRU5ixfmb08/MKpaetjO72YkhlfpvDvB910JKc8Mu8lrMx5JjmXpaSlnzauHsao1zloo7jeDt6lHrToVw8/fXx/pcP5AEo+fb8faMgXNqi8+lguJn5/tFbqmHG/90DXtILcMeZdenreqet+34hULv18HpXUb8xzyewHJpUra+x5Z99YMnfcqJdL59+3mN0v/JSLjxjM6NoSZJ+BMGyiZT1gQbytjEhjdyadFM7+Ey9PFajZ0N1lk0w5tvwIIAxGcwpRZWOYgofeXsu85b3OIXiua1fAObwwAd29mQlVCMExOzfw3Kcbkdg8+m4LD7y2jj++2cL81b30JGxSKcnfPmzj21NrwYaZ02t59v0NSBW1fV2AEkQ6WFBddKtOczyX2l4Y0+eZX7mCvg0fl9u+Z4+p934OebTzyVQA481pwsoO41GOK/ug9cFvHdaOPciJY0NFuYltQ2mJQIRtbFvSk7AQhiRhWU5yrreuWNTggj2Hc+vrSzn3W8PSk/KX67oZWhdFPfU+7e3LdK80cHE8gxlhy3FZrMiCMCQY7lkxbiMJMl0gbYFMms5ZKrYzbisrDNr6EmCCrDeRDQZikw2GINUUhbIQNQ1RZKWBLDH4ZEkP++xUB5ZExO10m1eWQ3t7O/8t5LBq4mtfmylT+T9HxWtSSgSPvrSOH/16IT87fijnHDwoO1CWpkD79WGAC4JEP+2IJ7VTKci9ZCHK8lRUhHTDyx+lDF4ausmXXn9VqpmecLzJqEA51fqazv/B9VFu+dEoDr5hLrcePpaTd25m/4m1/OCAJnY95xMGVIYQQrDjxZ/wyPnjuPeU0Qz90Qe8/UUHu050pWcBntQWrOjhpqdWcsERg/lkcTeVpSHu+dEohOf73AJ6YV1fgrpwCTFM52EK6ivDHLdnA/94r805O8ab9E2lvkGaB7V9bOjqtRh78of84dyx7LtbnT+A0Nsnr+ctHymcd6+DFT3doPz08ucjof16lAUIlPHopecxen5j32Me1XS8cEHt5aWvtk0xs6EPqC/apbZKOnAICl8Mk5+vzfMx5EHAzy+9QvtUgjaX58vTD2zrc2e+NPza3S9N/V3Q+yDqh8YV8K+jOkbVvIspRz7hVCF3ycWME09Cr/73wrvpSym59+9reO36KewyphJ7TYhUVxSkwLYM7PVhog1diLB0XK56AAsy4EQFegbU1ISYuV0tv35uJb86ZWRWvld9dwgXPbSUOct7uOE7oxCG7aRnAl3OSfMX/mkxB0yuTX+A7d0Woxpi/PbVNbzwySauPGwYm3qSSBuuenw5bV1JRjXGuOHYEZAS7D2hmjUbEzz7/gYO3q42s9k733egtElWWJW89943Y8ncePlICOf8G7U/hDJvq8+9MqjP8vWzqQjIfLR0OdoTbb4TEqTpMo6KmbkAh2k2fcrpljH4IF+f8B4VoQH+ckUPNeUmVz65DGzBsvVxxtSX0t1ns3JjnObKKGHTIJ6yGdNQyuFTGiiPmgyuD4F0zMDrK8KO9s7MgLq0G2ORmVSEoZdHZurv/WYhOJuQAV+s7WLeui4mjgmD7ezj8tI6eptG/vhKG2fPbEKEbWREQJlAxC0H+IUNJEa6ncIuuJWKgE2WmFRUhVmzaUPB9vqG/ndSUSClr6+PuYs28dpH63j4wrEctF2df0AftaTfprf+nr7tpKP8SshS0aoMXL5J1pc5Frnh/PL1e+YHctQJ0PPRr07+alnVtCXOgVOGyDVx0idlCace1MyowTEOumQOe+9QzjAjxi9PHM6hOw2gN2lxw5MrkVJy9I3z+PVpIzlgeg1PvdWaASl6nW1o705x+M+/YGNXiodeXkdJ1OSS7w5GWILFLX2sao2z4/gKwmUGf/rHeo7aqxpRbUGfcA5kEmAIwZylPazfEKe+OpJeFFrbk9RVhhA+HpSeeGM9tzy+ghdumOKcqWLAQ6+so7U9yQ/v+YobheSw3QbklltlhPS2Uih9XkIaVOJK88hm4Dzm3o/JTycWUAb1fRDAgewFMAd0KMxCvnHnZwLnLcCQOy51gOGnafFbEwPa0pfyMel+mob+kl8cP2bFABkS2QeHFpNOPgYtiAoBlByNUMB/P7ASmKcSxq+8hXib/gBLtX2DyurD8PnWM+h7ygeuVCqmX/z6I625I+vcEt80daGaDb/403JSlqS+KgxJMCpT9K2pI5mMUt28zjlozhs7IaU+Xp3dpE65YwG15SGQYNnOmRSfLutCSpfBtQALXpvTznajKjhl9yYw7DSDTQhIQigiiJkG783vYHhdCU/PamXOim62GVxORzzFd3YYwLTRzkbuPSfWgCmxbInpzQWmpDRi8rMjh3LiLfN59OLx7D+9tvg2KZb89l4UE0ddH7z+1AGAqk1WSf3vgUxvrgza16d5GgziTdLnsWlWFlIb3KonsYKC2ELfut526t4VG976ooMZ02q44WDHRfEFTyzimpmjQMK9b6xi+6FVjK4vpaLEZN7abh76aCUzJta4acOsVe3sMLIyG4CYuY5vpacNzDp/AceNsZDp81mEIbPcHz/9SSu7jKxhfFMZWEkHoHjmaCGbiipBT8JCdpuImIUoAzZKxAobe7LbcWEnTyNugQsUnQduPyRtomFBvKOnQGP+58jv3NzNTecbKhKkJBIJsCWz7pjG4AHR/B+XLu0K+mjV/SQ66QAEshnIfPHzLWY6UMnnfjXfBOOCpLRtatC+GDV9U4mrpq8OxHD2JBBYNkD02ew5tYb9t6/lwbfXcdWxwzAMwQ7jnM1rO42r5JBffMH4IaVc+MASOnosfn7CMDey8P0CHn1tPeUxk+P2bGDcoBL2nFxFS3uSR/7VwrwVPUwZWsZFbyzBSsH4ISVMHFcG3TjmD9UWWHDZYUN478sO9r7wM166YQpNA6L8+rEVXHTfErYeWcbMHesY3hSjpiqMZUvendPOLU+tAqC7z6KqwhmSb83p4KxvD0QIuPevq7NBirou5GMsVc9p3ngJKZOct29DKunkY6j8qBjQopbH7wyT9D6LgO9BjxtEtivJ1Q8dzOeS26/MELiQ95vyaU4KUbHhNWZZJGQwA+1HhRjgfKuFrf36xg+IowgdCs43atxix39QfvnCqN+C/k4l773i9ta3rPnqqAsI/Mrk14cG2X2ib5rXy9kf4ImTdjJl8/ibbdz4xEqmjSpj3pIeRqcqsfpClFR3UB5NIWJWJn1PiwLOGVWldiZfAzp6U1x8+GDGNZem67XdxR/zzLutHLJDPa/N3sTj77Qyoq6Es/Yb6OxHcZXUGDgrtQn0wS+PHs6tf1/Fw+taOONbA/nhPs1k2SDZZC22pucG3ksHOH/mYP4xewMrWxP+bVAInBTSAPTHlXZQfHcey9nfUey8YCjAw0+gGOTZM58znBztTXZ6fsAk0BNhPvJrvyxNluSTJV0kUpIH3l6DYUBLR8I144ITd2riimcX0x23+PbEARw0qZ7LBo1wC+MUaFV7HzuMrMwcuihxQKIqqHM9eDlRfCqihjEkImRBStDSmeCtJRu55TtjEOEkMmUgws5CJ5POATa/fWkdP957IKmuCGYqhVGawuqIYtbHEQmBLA1BynaGdKlJ2gJFWc/WtcZ54G+rmb5jb4EG/c+RZ661JdL5v0YdHR1UVlb2K05RICWZTLLHlBoHoEDwZBFg3hW8UToPQ+al70mV/TQRXrhieaigiSELWBVIwyLNTEqdqVQX1UJp6pofTxLuMZoFyipjzs3Rezdw7e+XceW+IxAVNpQ4YaJhg7t/NJqpZ83moYvGccCOdUQNkW37r6nvl6ztY7uxFVxy+GBufHol78/vZHhjjLqKENecPBxsOHK3eujFGTkJwCTtdrNP2mxz4ce0diQZUh9l4epe/vJ2K9f8cTn3nD6at7/o4IHn17Jqo7MwThpaSk+fU9HbzxzFwPrMAVfJlE1jTZhozOTzVT5SEj8tik87OfdePZVx5aeN8No832b9QhQ0fnSQkQVelDB+aUggKbM1P36akyBmtxDI0DUpWwJMFNKebI42pb9l+Doam/4ytv1NX88rXxf5aSl0oOKl4xfHLz+/50FaGh24CLLTz2f2pddRH5+FBF5+ICxn3SlyAShUf4UueWApf3mnlXt/MJpjdhvAo/9s44TnFnPnwdOpbNyEUZFymDuPhJuuBSJmZ80hmzpTNFRFOOPer3jtminp5+//amt+8cQK3vhkMWVRk7tOHo0IkdmHAY75kwpWAFMILjx4sKY58GMgPYafnDnt6fdb+XhJN/ecVRU81jfHw50qAFNNJYsRCwcA7hxPa36HjuYrklccFawEhMvhVQqZhBeRb0HyG4+FBApCUF8doa09yc6Ty7B6DPaZUO2YbQFlJYKbjxjN/W+tYWhtNH3SvFMwQEJ7X4rKUjcjd4N9ehN81vrkaSh1wCYV7b7MpCPgD++u5cd7DgKBsw/FEhgRO32Q5OerOymLmDTGSrH63IMfQ26jRcDotLAiRrpPvOMvpClcxwiS5St7OfCcT6gpD5FKpfiG/mfppptu4sILLwx839HRwYwZM3jvvff6lW7RICXiF1LVTBQDUArt/dAXPnXxLHrBUu515ivfh1+IuUz6zDhB2pwgUCKUd35MtgdQvOf5GA2XYd132xpOunYes1ra2bayIiv+yIYYd585mpNvnM+F3x3C5ccODaikQx09KapLQwhTcNERQ7Lz8zaCqh5rkkAp6QX68bfXU15isvCh7RBC0B232fvCzwA478HF1FeGKSs1mVxVyvL1cRas7kUC39+viTMOzfYlP31sBZc/sBSAo/aqzy6o3q/qc5WR0kld7Is5y0TXevWXcqRwPlI8tRhCCZe1qRP/eun7SlTwpY7LPNLDnDJA7thTyuPrJSmfbfX/BiqWyS8UX6cgDUqx8fOl5T3LGg8+4X1Ba0BahYBkEDDxxufXqYdH6rfdn3SD1gW/+H7pamHWbEhw9O71HLdzA8Th8MGjqZ4suOr1j0iEEqSwufqIYQyqjmY7CfDulbnolc838e1tavnVicOzymtgcNXRw9KHPKbLqwIKU3ketNZ5mpM0R6dy5TI7rIQ+y+aUuxZy7sEDqS0LOSZnQQcrFwHockgHKv0hXXum8wb9Od9IG6+FQIMOULLCW56WRAukaumLpa+r2XXfz13Wwyl7NzJhWCmy13DTzfAQQsCnqzo5ZedmB1CY2WUMhwQ9SbcwKtD3A/2CLG0h4Ago3fNY0nyBOyet60gwamAUsMASCNMJIAyJlDa3v7qSO48a58YR2PEQhkghUyay1URUWhgRCxl1NtkTEpkmtiVtbXFm/PhjZmxXw6Qhpby4KEAj+D9A/79697riiiuoq6vje9/7Xs67rq4u9ttvv83ywlYUSLFt2zm8x4/8PigdoBS7MV1/pgMOffKyyZV0bI4kNN9YcD3ACJe5LXhgYL60guYxHbjoaeqmN4rEvbo8xM9PGc7MG7/gtaunMLapxHHn55ohHL9XA2/OaWfxGlcdqnsPUWhEY4zZC7uUvMgGh95E5C2cYbK8ryxtibPdVhUI0yn4q59uAuCUA5q467wxmIoZUsqSLFzey+ABESrck2dVmj66HIDvHdDETT8amXkhcfbuAG992cE/Z21kr22q2WlipXNOQDGaDFWd7adB8DRb3rOwtggVMp9Sw/hR0J4UvZzpZ2Rr2oLKkDbBkT7v+jnh9Qd46OEKMSb/KUDjBwDzUX/njv6YeG0OFZNGoTBB2rX+UiGNh2r2lU9joo8r6fPe+++lm895RFpoIzLChyBNjl88n7IsWtPLM++38fmd053H3QapRIQdh0Y5YLcRiCqLjT0pLnlkCRu7U1zx3aFMHlbmL0gzoLLUZHlrnIpoKFN+Uwkbzs4/vQclTjZ49NpYnb9UUudo8OfKbYjFDH54QDN3/GM11zyxgnBIsOP4Cp7/xSQAohEzu838AIIKRLbEafJ+c4h6Fk4hKlSWfJo/fDQofnFV8Ki6I1asE7K2bagCnSAri2Ly10hIaOtI8sH8Dv583jgHgIVl9tkyOE0SCQnWdvUxsCaa4aHc+ixa38uZzQMLzyHqOPAppxASaRvg7kmRKYO+PoGMm4ioOyBdDU2qM4ptCSrNGBHC6bzthIm0DBJdJYSSJuFIDyJhI6OmU5GUa8lmSay4xXGXz2Xa2HLuOGs09/1tDbb93yMls9kyS9x/T42Ko4cffpgTTjiBmpoaDj300PTzrq4uZsyYwYYNG3jjjTf6nW5Ry3E4HCaZEsETgOo+TwUouitfNdf+qjiL/ZD6EweCF3BJeoEQVkaKnOMWWa1fkAbFT0pJwDM/8msvmfm98OghnLh/I4deP5dkj51lniEtyRNvtrLVsFLiifwZ7jShkn9+solNPQGqUxNnQfXAiQeG3DJ2J2y6++x0eV/8YAMAny3upi9u8/z7G7j43sVMOvFDSme8yR1Pr6SiIhegAHzL9eH/++fXklC0WK/O2sgF9yxij/M/5aBLPmfe4m6OvfpLmg97l6t+vzR7zElyx6BqWpNvfOiaLl/X1EHgO2ihVMCJymSoGjY1Dd38K9+eFZV5yZe3X/z/tMDG0K7/afJjfIu5ik3Po2Lr6o2PfGXqDxUDZPJR0NzlXe6ZHVnlltpVKC09XfXec+UrfZ6n85CZ5wa5+efrQy3MH19rYY9JVYxoiIEBqU0xEokopRUdEJFgQE15iEO2q+PkbzVwxwurWduhSHJVIGbDvlNr+HJlD6s3xJ1nKkCxtfw9Eq50OkmuFlsVonjppU27fIQWavu7ca89bjitD+/Epkd34pnLJvD+vE4mnD6L5mPf54Qb5vHMu22kPBfNUjqMuNfP3jM/2hzNSZDGztuBrF6FqFizMi3PYhyCeGZG3n5U4TOuhNUPMy+vyP2cf6WAO55Zza6TqhhUG81oOVTX3iEQpuTyQ4dyx+srnT1OhgMohCnZ1JcgKW0MZR4Wpsydl9043n1WOHK1BtISLF0fZ1BlzAEecdftcNIg1RWhu72clvUlJOJh571rQmanTFK9EaxUCM/9MSkQKZkGxNKyEUmbS+9cxPqNSe6/cBzCckzDw2Gfw6q/of8oHXHEEdxxxx0ce+yx/Otf/wIcgLL//vvT2trKa6+9RmNjY7/TLUqTEolESOoTiR9gMQjWngQt0IUkGN6EHCRBC9r8rmsB+pO3tmBIgesZRgEo3rNiFnhPwhfUJsVOaoZbaB+zlF+cPIK/vd7KH99Zz8kzGtN1E0Jwz49Hc/yN83n6rTbe+fXUQKnSLhMrmTKijCseWcatp40khMgwA55E0xsxIfDcTEpL8rM/LeN3/1jDY1dOcKskefHDDTx15QRuf3oV254xi02dKQ7fvZ4FqxytzvCGWGBVw6Umr103hZfnbHI8frl0119X8+Zn7Zx/5GAePmcsw8pjWJ2Ct9dtYsbVn3POdwZRWx3J1froWhSv7fSx4TuG8oCDYlxZq+DEW/hVsKSmpaej7lMqpJkE/zHtZ3b2dTbDb2naEpoLPypm8fcDrP+TWvageU6nQkIdlTa3PoXaWx2ThbRQxQy3IGm3Opfr6XnPkjiMmNouBaTnWem76X22tJtfPrmCv13qzGOY0N5az/ruOsbUtzkSa5daOpKMH1jCNccO46KHl3D5d4cyur4ktz42HDitlo8WdzGzNuoIeZJkCZOygFkC8Jw/qGmp/RgklPNMWr3N0Cqp3s3ctMuiJqMHlpBISQ7fqY6jd2/gr++1ct5vFnHOvV9x2v5NfH+/JhorIu78paVpkKth0esfVN5846s/41unQm7DA/LI593LCy/8xpaXp0cWGZfEKPxDf0jVlPvM93OXdrPH5Co3LBmgmlK0T6aktsYkkZJZwGLp+j6ufnoZ1x0z3AEzqcw7gTPupBTp/S0YIGzHrEsImfXfq69HwpBsSPRCKMVZf5kLUlAaMZBSkOgpwRCCkpBBdyLF379cx8GTGhCGjW2FsC2TSEkv4ao+RxiQApGQyKhTsu3GV/L7Z1Zz919W8fHvplMedgqdtCSRyH8PSPn/1dwL4NRTT2XDhg0ceuih/O1vf+OKK65g7dq1vP766zQ3FzhXMYCKAinhcJiEJ1zXP37lI88BKP0BB7q5lDfhqnHSkos8TKNHHoDQzQf88pfKcz0PHRjocbMWDs0EJ6mUMyTyS7p18pvAPQmHyuS6eYVMwSUnDuW6h5Zz/M6NhGoyYY/ao579tq2l/qh3WdkWZ3Bd1HcREELw6zNHceQvvuSSB5Zw0/dGZvZwhJUygOPmNSUhCbOXdXP731bz1p1TmTCsDAS0bkqybF2cPYdWstuJtVz08kKmltXwyGcrGdEY46PbplJR6zOxeIyPgF0mV7LzdtUZUyfgzvNGc+RVX/CzPyzl3c/b+dtPJmCWwm4NtQysjjJnUTe7T4+kPaUtX9PL1Q8uY/m6PspiJifs18ihuw7AVDfR55PoFzNPFDLt0hkqP3Dr9aXfPie/PSXqMy8t3auXF94XIGtAxW9sBph85exL0cP5eY/bEkCkPyZo/y4KYlJg8zQSRUhwvxb1Z53T27dQe+tpFwsKio2jAp8gplU1PfXIAwAeCS1+HrAzsDqCbcMu4yrTzFdHXwWloT7M0kTarn9DV5K35rdz0p4NCCG4+7TRXPLIUm4/fZQTKYSjefCWgqQkGjIy5fMEXUHtpGp5TO2/TqrAzKunvnaqz1SNjA3D6qO8ce0UdhxVgTAF04eX87PvDuO5TzZwz/Nr+PVfV/PBrVMZPiCWrdHyc5Vv4v/t+4FYHZzp7wtRMUCmHyZpOk/ogQthKel4gjs1bbUsvsJbn/k7iNJu8vOHO27vBs6+cxE/OWgwsYih9Lu7gKaAkEBiO5O1C1J6+yx+9tel3HXqaMrC7qDxuEDlW/DM29N1gzRAUUkIiee0WEQkVpfJH99dT10sxvFbN/HqkrVcduAIADpW16eBjhApnlk6n3Of/pLLZoykoSqUdmUsLYFICIhJZNgRhCIE08eUsd/5n/Gd3QcwdmBpuo1SKflfpUnZHGV3UDr/G+miiy5i48aN7L333gwfPpzXX3+dQYMGFY4YQEVNCdFolERSe6gxdjnmXf1l+nSTF/Xek+C44MGzTSyYhl5ev/y9iV2XUukaGtWcJpCxUCYXXTVfLEDRy6Ge3uylY+Dsy/DOVXHp2H0aEQLuf20t9qqQshgKqstMDtyuhovvW8J78zqyTxtWaNLwMn56zBBmL+pyJq8o2Zs3vWL2ufHDEI/b1JSHHIDi0hdLemiqCVNOhOpyk/uOGstzy9YSihrM/v22DkAxMmmJDtuRQMUzTL0sMbLaQ/TZDKyI8Obd27D6qZ34fFk3B10/l31v+pwD7v2U8jKDucscT2DSgNsfX8HWp3yEtCUn79XIrltVcvG9i5l66kc8+VoLHd2p/BK+fkrybL/zSNRHJhk304Ls8aoAMcDVuGSnJ9VxqQMMQe7C5rfQ5VsA9TJBpg00kJPrsU9Py+dD1E9WVk9YVtPRTQ7SZVcL4F+FfpPffBGUdqHxUEAKmzcfPzMkPX6QWUwx5QlqU530MMXE8aNiVup8WqJ8aQaBjCBG3i+M33Mb2l1T13/M2sjT77WCgIpoF2HTXQAFdPVZXPDQEn559HBHYm5AadRkeGOU9+d10hu3eOS1Fj5d3sWnK7pAwPzVPYwdWJLdnlZu/hlzKqV8XrgwGcDlliVnzVTXOdU01zPVjWrhJQhDsNO4SucMK9ekyxSCg6fX8dylkzh8hzouvG8xS1r6mL2oC1sqa5wKMgoBrqC6bg43VgigFGt2VkzeBs4hgiHh8jnZz9Lukl1zd2niHPzo9Y0t06fSZ06pz74y5cmYkuUs0d7cbUsO3rGOAVVh7nlhTcbCwR0fj77Twk3PrwQbPlraxdjBJek1/M/vr+cHM5opi5mZ8aPzGAaOVhKyAE4gud677M4QMpwkYduc+63hTBlcysbeFCJiZX2TQkjKajs5bscGLjtgGL98cTGPzVoLkRRG1HLObTEdAahwTb0/XdDJ9qfPZuYuA7jnvLFZ2felbCLRYKuMb+g/Q4cffnj6mj9/PuFwmAEDBnD22WdnvesvFaVJqaiooCueUf15FOi5K4dh8UlUKs9VCZBH6ckvmxEXelhPGuMx7Pny1gGG6UotdMm29+F6k3Cx9VHL7k5iOe/9JIc6U+zlH0QCiBqZDXuuH/yQIbj5h6M46VfzOGRiPU2W6aYjwRTcfPoofnTHQg66fA5nHzKIK48bhjTJdgYDDG+KsWRtH7YJRnolExm7b41x6bNswqHsut782AqO2b0BkoL3v+zlrveWcPbegzjyji/5dGEnO0+qSverLHWkJkDm4Cic6r3wXhvtnSmiYYPJo8sY6wKh2uoIx89o5Po/rkhnO2RAlPe/6OAHhw3kH2+1cc3Dy/n7Lyax65jK9Hg799sDeeBf67jsgaUce+08xg4u4XsHNPH9A5qp9szKvDGlnqtiyQyQULUZ7vi85y+rOOeOr7j5zFGcefggDM2fe44mwxvHqhmh+s77tWR6HImUAnq8KLqULsirFz7hVa2N3wGPXhnSkuxsgKQezeCkp8S3KUp66SSg119m0giMU1zSW4z0OSBIy1CsMMJvPgiifKB5c7QX+TQk/WEYi8nPmy/6C/x1xrZQ3M0FrRq4KTENBtdFOOHX8wFI/nlXDMNG2BLbgg/mdXDvv9Zw9ZHDaKyJZNYJ4Ix9mrn35TU8/vZ6DtymlvcXdNIdt3n0rfXELZthDS5C8MauusYE1UNlij3yWxvUNjZxwIi30d4T8vmBN3W8Bhwi3FAV4ff/Wsc/Zm2kJGJQUWJy0Ha1zNyhjqa6MH3uwanbjSvH8Jh17zDHYseTDoz9qJi0VJfHntmXep8vqvQ39/LTsKiO1Lw1NMepjpF9Qn0WGDEUjbSt8DUyM9/7Ht3gzr2mENz6g5EcctVcZu5Yy6imElasiXP9X1ZQGjGYPqyCC/68iKQtuemEEekk3l/YySl7NaXLkJfMPPOwZ/JlCUTUOdFDxg3en9fJNkMqOPPpz+lJprj820ORSSejSLQP2zIxDBs7ZWCW2jTVhbj9mDE8s3ANZz61kMv2Gs6g+ohTeVeT8uqsjXzn0jmcfdggfv69EUoZnPbo6rGoaK4pUJn/HP3/au5VVVWV9f+YY47ZIukWDVI6euzCAEUd9N7kp7ezDjIkaW9NWYFdiUL2Sa8gDZEJb8ucONhkS6v9yqD/1w/Ty7fXJB/IUDUOOjjS4/ilp4cNKq/X3h7IkqQXvAN2rOOA7Ws58oE5vHjmVEoGSWfBkpLRA0t46drJfLqoi11/8hnH79PAiIElOZPhuCGltHakqD3sHUqiJiOaYtz549H89e1WeuM2Vx4zhIpSd+gkYO6KHsYPLc0q78IVvZw4vZG+pM0+93xI0pKcul8jV393GN//1XzmPLR99ppoCFatj3PNH5ayqTPFrlOqME3Bpb9ZQn1liDWbkvQlbMYMLuHpayYyZlAJr8zaRFnU4F/XTWHy6HI++byTg6+fyxGXzuHDBV3cfPpIdh1dCX04I92GsGlwxl7NnLF3My3tCU65fQF/f7uNax5exvf2a+LUA5uYMKI8w7R7Y80bUx4wVECCNKDEPbfmgrsWcd+za3juhskMVs59yQEDpshw9zqIUfvVG/9BY8GLL5V4QaRrdtRFtZDHMnWsa8BIHT++gMWL55emL6OvMDn54haiYhmkYtaCIHMV/b0urNAp6P2Wsg9Qy6TOffo7te1VRvXfYVK3JerpN57UNaQQ6euAH8MODKyOMutX09jq3FlsN64Ce30Yw7BoEfO5/PFF7D6xiju/P4qKEtdTl2dhYEBZzOSCQwc7/y3Ye1I1NpJT711IZYnpCC48Us1p8o1zvYxBYVUwaOBI1eN50lfbzvJ57o0JGw7boY4pI8rYd1o1JSGDN7/o4JkP2/jxvV/R0WMRDRv0Jiy2GlLKb84Zy1bqWlCIigEn+vugOcPvfzH7U5RvWxfY5SNV01HMQZDSB1xm7VcxQUiRLk96/4vmPczLd/etqzlpRiPH3zqfV38xmdlLu5gxuYZDpteBgKN3qc/6TiSS8hJTWbvIaO0gewxJ3DNP3Hk4gIcRhkQmXJ4pJOmzUvxlzhrO32sYbe2S5etTTBkokLYgUtGTjiNM58wUpECYNodMamD3ETVc87cV7DGkmUP2jaZ5w7/8az0nzmjk6lOG+37rHb3QWFWd++J/iP5/Nff6/e9//29Jtyi5VmVlJZ29GY9PBQGKR0EfuuomMqgnDJH+IHPUniGfhP1s9FXyFilv8pU4e0ayJmiV24K0uZXKzKWl6GQ0ON5/Na5fWQqpuYNU4VK51DJ4ZVYlcybce+FYbAFnPD4P2U7GNaEroZ40vAzLlpnsDZHVpg1VYdb/ZWfevGMaz147CdMU7HHBpyxY08snS7qoO+o9xp36ESvWx/lgYSfn/2YxU0ZnTL0Azpg5kFMeWMBv3lzlKGBs6Oqy2XliJSvWx0nmeGKA7qTF/f9Yy1NvtHLenYv4eEEnXX0WS9fH082/cGUvN/5xBcIQ/POWKey+dTUPv97Cj+5cyPsLOvns5ulUlYTYc0oVJ0yrd8zeugWyzUB2GBnAIh0J4biBpbz28ym8dNVkWluT7HjWJ0w//SNueGwFy9f2Zby1eIu5VmxpgLDh5AOb2fjcrhy4Uy3zlvcw8uj3aduk2Eh6WhGvIlbwYpbVr35exTxSTbf8NCtqGDWcwHXZWuA7UtNNv0djLLLTkSL3yoqnmx0FmRNpB43mpBGUZr73X5f6K+Htj2lVvnL2p/z5hB755p6sOT2gDIXy8sunP5QvTtB8uSXJBikl97+yjt6EzV2njiLVHSVlSW57cwl3nzyak/ZodAAKZDN73uXNFS7D96e31nP4jnXOcBZaHL0eunAL5blNtotZP82eOk76AvKxtfuU9jy9VmTqMG10OUfsNoCqshCRqMHeW1dz26mjWHjPdqz73Y4sv3t7lt27PTuOqWSHcz7mxidWZIZdsWO3UBh9TOnhg8y7+uMeWRlPQSZXWc/s/GGL2VuikxSeuZiSh3KpHsWEhF+dOpJIyOCUOxcyvD7KG/PaHa+bnpm2Mqbauy2ippHRqvkJD1TBhSkz/I8pM2ZfngmY6WhS0mQJvjVqAOMGlPOtEfWs2tRHScgBRcKUmCVJjGgKI5pCRC1ExMnMTphgCWqrQ9xywgheX7naAdndMH95D3/+ZwtHfavBAXA+1NlLv08x/4b+91BRmpTKykraux2GqyiAEjQveFoTzyxLkv6IhSfkzTINcE9190iVnvmeJ+E+U/Pw7lUTHe+5HleXLKjkSaH1DfDefzWPnMlKS6ffpLSzDlR0BtaWlMRMnvzFRKZ9/yP+/GELx+7UAJW4tsmCFev6sG3J0KaYAr6y6xCNGExyff8//6vJSKC81ERKyar1CX7628Vsd/bHxN12HN4Yy+r3c44eTGefxT/nbqS5JsLE0WWc9Nv5PHHuVoxojHHzYyu47KThzj4LHEZ/zOBSHrx8PE++3MLMXQdw8kHN3OHan4ZDgnVtCW59fCWvfbwJgJKSEN/Zs56f3LkIBLxauolnPmnjvh+PYUiqjNTqKNI2SLbECEXjpOJRIhXdhBv6nAEXzrTn9mMrePjCcXT0pnjmww08/uZ6fvmn5dzxw9GcuH9jpv31nlH6tixqcOAOtXR2pXjz8w6+fcnnvHfvNtnjQdfE6H2pPvP7r4Ib77WnRVHTyic59rQzfqZrfuSXji5xz7M51PcASJ0KSZNVKXExFMQE6s/6Q4XyL+bTVvvMI73uetsWU+8tAcLUeS1fHvnK1l8g8XXL3Z8xoX8TejoSrvvrCu56eTV7bV3NsIoYyQ6bvy9ewPG71hMtNYrz0iRIr6zV5SaPv93KeG8/SjFaQR3I6BqQlPLOq1NQu9tkr/Iew+uVxWNYFc1J+r+h/HpCGrX+iuCsNGpywwkjOGKXARx545ds6k5xzUnD/Zs7SCgRBDT0uuW0VxFAxG8Dvd8zn/GUCz7w/2b9whZJfqZd0jNF18nbzI+zTj95xVbsfM4nnPfgYp6/YlK20BJAQFeXxQWPLObq7wzz15xlFYYMoLa0MNrmeSEk0jNPswR2Igy2yZsLOrCw2WdqBelGMlwvY+4hkABELEiYOKfdO3nV1Jr8+e0WjtmlgXueWc3huw9gF/dIAj/q6JVUVFQEvv9Pk0SknQl83XS+oSJBSm1tLRs64sWZeOETBrK1J5ArkRb+z/N6TvLbB+NJGyyJdO+lZjqm2oam7UrVvPOZEgjlV91P4AdQchaO/DOYPsFlqZDdfSdp8haQgDQbayP89ifjOOGXXzJneQ9XHT2UaIUBAtZsTNJYE3EOP9TJh1ktK8nMlEIIBjdE+fVZo3nqX+v57t71rN2UZHRzLCsNAew6rYo/vLiW+uowJx7QRCRkcP9ra6ksC3H1g8vYc1o1O02tzqRtwzH7NnLMjCa8/S/haKaMjQ1RfvWjUVnlO2ZGI5s2JNhteg2jBpfwkzsXsfXZH7PN8DK2HlTO2fsOZuiAMkTIJpSIk+wswdhoYfWFHVeHkLUgV5aGOH6PBo7fs4FXP9vE0dfPY/WGOJccPyy73X1ICrj43sWY7piYvbCLrl7LUbGnAynxdaZJBQ7S57+3L0Yq8dHi+xbM57/t3njvdPDkPdfrquYfxJz6jKF85hOBnsJUkw3vXbGS0f6e11CICmlRfAUbedILAitBkuJC1B9mPR95/VsINPrlvbnAr7/h9Xrmy9/QwujzsyKU6u61uOW5Vdz7g9H86a31nP/wYq7aYxzvLGvjpAOHZeaJIDAJacbwtU838eInG1m7KUk8abPnFB8mKwhYZGkqC9RR/xwsn2d+7RKkccs3hnQHKkklHffd9qMrePHqSex9+eeURAwuP2Zo/nSLNcUqVLZiKejEerU8+b5BXePgd+jkZozPHDOzAh5MpTKQ66sjPPLT8cy45HMWbejjhfc38N2d6nl7bgedvRbH7lTPWQ8u4uqjhjK4JpqdkFe2YgG0Gg8cF8ZeWWwbI2SzaH0PT3++lpuPGgmmnbPOeV7CZMI5P8VRQ2XSvOLwoTz02jpO++0Cnnqvlb+4h4wGrTdtnSnq6uoC2+o/TbYU2FtgP8mWSOP/AhUFUurq6mjv7HMOzQkZ/QcohSgvECH44/EDPYq0WT3fSt/kq7pLlqpaVt1878dIpKVMmwdO+iNpyeu3XV2sA8IctHMdb981jZN/OY8XL9vIXy+awJDBUUIGWJt7ToZb/7qqMKcfOhAMQU2V6/5Pm1iXrupjWGOMmCnY2JViv51qOevmhaQsSSxi8KeXW9IgxTObcv7I9LM0eQc6GSCUCodCgrOOH5qO+5uLx3HGQc3MWd7Ni+9vZNLlH3LMtxq4+JDBjB5WgrHGAgF20sTqjkBcIDtBhMjY4AKUwV5bVfPKzyez71WfM2lYGQftUudUPs04OPW97pFl7LBVJcvW9mHZMGVEGVJIhjbGKIsZbOpK8dtnV3PhUUOy7dLVceQBEHXfiAdUILi/vbDqHhY1TPo9waQzfmkQQ/H+/fNpVnzzzIy/olwaq+8C09TiFCuZLUTFMEe6FqLYPPR4/QEHOgUBFR0MF8pDB6JBkuw8QqesvPNRf9fhQkxTvud+EnCFlq7voydus/+UWo7Yq56v5vRxyD2fcf7uIzHCZDQYeYDK+vYkP39sOduOLueyI4dmCyjU8B7gUcsSyMj75JmvrrqAQWeS/cabnl9QOfziawLGcYNKefHayez70895afYmDtupltrKMN/ZZUBue2xpYcLXJXUPS7HfoL7vpRhQ6Pfc0PiTPPtbskxsbcn2W1Vy0oxGDv35XL6/TxOXPLSEfSfV0NNnccLd87n5+JEMrY/luJ/OrYvy62lTgsaL4ZbRA1oxiZlKMLS6lFsOH4sZUw4v1ckA3IMche49TMIJuzdwzd+Wc9kxQ9ljWnXeeWRDR+K/CqR8Q1uWigYpAJ3bPkXtZ0c6DzdHqmFAlukSyn/vWT5zAW+jfAGpnVRMXzIbeV2VZL4y+W1Q9jPjUpnHfEygBgTyApRipBj6pOUnHdTmsgnDy3jrrmmcddNC9r9mDq/+cjJRwyCekMHSmnwMZpAWQQMP2JIvlnYjhCPp2NCe5MLjhrH9xEqmn/QRowfGCJkCYWeDEe+/akYlDYpazDZ1pfjpPYu4/vSRbDO+ghNnNDF/STc3PLaCqefN5tYzRnHaAc0gJWG7F3tZmLAdpneDQUlMYMdDSFtgJ03Ctb2ImM3kYWWctEcjtzy1kmHNMSaPLENYcO49i2jvSTGsOcYvH15ObUWIrj6LPSZX8d6XnTx7/SR2nlINwOwFm7j8d0tJpiSXnTAsM6aCNqt7C4POLKpj0ouXpYkhsyAUYpgVUwBf7VC+79sPJKlxilncNW1LXk9hanZaOfOCm0LPC5Yxz38/JtXrr/7mpfazrsnQ8wuiQvOxClQ2py3+XRSksSuGdNBRzJqUp+4TBpUyaXAZf3ythTMOb2ZUbSl/+s63aRi4Btkbx7Gt90nA/ZakLTn7t4v49WkjaayMZDtg8QN+fnX2E77lMIbKvVon6ZYlSS5jqAMUL10VAKlzjsC/fU0lbFiJa+OAuBIn7oTR5cy9f1v+8NI63p3bzrwVvTzxZit/v3qiT6XzUDHfrm62FXS4ZLFU6GyVQtqY/pIKigIBqLJe5MxLDi9w6bFDuefZNcxf1csfzx/v9IcFZx00EMMS2aZbKuDUx4a6YV4dB/o41NceQJTYmCaIkJUeg0K4e1eMjBYFADNzyKQQ0kkj5KT7xlftdPRa/OjQQc6ZbEmtfb1xYQjaugQDBgwIaLj/PEkKy2aKTecbKhKkxGIxysvLaW1tpRZyP5IsKZ32YftJ7P3U2er/tEo1VwMhdbOxfBQSyJy9J9npC8tlfEKisPRXkG2X633gvnXMTqtftqqKClkYPlIVt+xZQCUdVymrS5Gwwd0XjeV7185j6nmzKY2a9CYs9r34MypKQ0wcXsq53xlMXWXYX6OUJ22vLB5AUQHGWYcP4se3LqS2NMS+29YCMGlUOXddMIZP53dx5UnDwJI54EZ4G9TdRV64k5EHZnRQ47XFvU+v4v7n1jJmYAnnHz0EgHHDyrj/kvF891sNnHT9PI7YdQA1FWEwwRiWpKzJpq8iTmk0jBGSpDbGSPaUIC2DSG0PAovz9h/EFU8vY9dzP2Ha6HIu+s5g7npmNQDjh5ZwwaGDaO1O8fgb61ndkuDWM0ax08TKdFvs6NrTXv3gMnaZVMW3ptdkjw/d7heymQiVgtwVC4K1HurCpDPRuuRsS8yMxUq7fUBafzXcOZ7FskBDgDalGMYn3xyVLz0/CXkxJLT7/vTDljCDUWlzNEJBVGxddG1PEOlagXzanHzaB596CVMwujHGJ0u7nTMaqm2qyjswK+N0LG2krG4jITMOpTL7W3PTfmdeJ3tPrXYAis4MqmNCbw/9u/XT1OTrY709PMGVn/ZM3Y8gyN2v4j33Y0ohA4A8sOIdWOlJ3WPC2fRtQHVNmHOOGsy5iUGs3ZBgyHHv09lrUaFrU4Kov2MvCKz0B0Coba3HU+eTQsKQfHNMzrqqlNvNP9BzmN+a7/ZXY12UEU1RehIWd7+wmkWr+7IcJQoEQ+qjnLX/wOzN854q23OJbcoM8MxHqoBUCjAldlJiRlMYpSknLUsgI2SNeWmJtFc8Ycq0501skElHcPnAq+s4cZ9GYqVm7v5hhVKWZOPGjf91IGVzDVX0dL6hIkEKQH19PS0tLYzVPw6V8jH5QS3uZ5aSdjkssrUh+Jhrqfnq0umUuxfF06x4ZVdQOJYbRlO7pkm11TeUFVeS9+Ppl4mXZubklM27F2lXhHlNv/Ryq8yrANMUPHDpeN78ZBPzV/Tyk98s4qjd64knbZ7/cCPjTvyAHx8+iJ8eO5RoxEno8X+10NNnM2O7GgYO0Hz8+523gaJNMQRDm0t45oYpmbawnNNpT5050Amb5UqabAba05op65nwmTSlASLpRH7783bnmQdklYV2/+1rmTq6jPueX8NF3x2SnhTLS026DIva6jCi03Yuw6ansxJpG5hdCWoSFdx7cDnX7ZXi1jeWcOR1X/LBXdP4/QtreeSfLfzxtRY2dVsctmsd1/xgJEMaYllAqjRicN4Rg7n1yZV858q5/PGKrZg0osxxUewx1kHaCYm/a+EgYKyai/mNFw/MeG1tBsRTwYv+TGeo9TIHkZ8mwiu3TkUAfz1s2mzMj0HoLzDxi+cntc+X5uaAFY905n5ztUEq5QMCenMXpQ0rIty/Y6XNZ6YC/hqjIvpeWpKPl3XRXB1h1do4gxqjhEt7EaakpLKDVG/E8U4UsiAqM96T3DyffreVXx4/PJOf994iV7sR1HZeH+knyGtlLVgf5fyWdHmMgPdhJW/VI1TWfKyUSZLr6dATtCQlIgGEpXPQYdSAHpumqjBNNWE+W9rNLltV5i970Fq8OVQMQMlnvZG1pvoAlKC5QAfRQXOfSsqar1LW+u8HVLwqGjBqUAkJG741tZof7lfieMRKOmuinRJc+tQS+qRNzDRcgKlNCFn1dSdUS7hjQ2lLVRMPEJLumBCk+kzs7jAibDn8i6kORCAh3DEukQkDge18T7hruQ1r2xNsM6kCGTEQSTtQ69i6wUE7/00g5RvaslT0FNDc3MzatWszD4qSeilgQ5UoCeXS0/NAiSLRV12Zeve+jL/nRtcgna+/FiJz6+vf3Cb38Cu1TApAUd0P+rki9C2n7+KkTYD6hGfnph0I13UpiLughIRgz+k1/P29NgZUhmltSXLmrs384+KJ/ONnE7n2keVMPPlDdvjhbGZc+Cmn3bSAe59Zzchj32e7M2bx6ydX+uQltbaTuRdkGEx10TDcyS8pnctW4vtocqSRrUVJa1aiTl/3JpxKf//AZt+F/fDd6nnls/astqkoMensdSfRMggN66N05AaqBq8j2tyJMFzJUHmKf65fxw0vrqCqNETcktx21hiWP74jj/1iIp88MJ0/XDkhC6CktTwSrjxhGJNHltHZY3Hdw8sZefT7PPpKS6a/vPGmggdwtXdaP1saoBDac6//LXLHMWQtak4YBYh7aQntkuR+s15aOoPoF06ngtoJkX0VChtEQSYbhs/l946A9/mon9qgLJLktmk+6i8TJwMuj4qRoPYn/2LGgzrGtgQVqmNAmYUQvP+LqQypjbHnVZ+zdFkfkeYeEi1lhEoTrkmKyP623PK/v6CTNZsS2Opc6HdQo/p9+o0xFfh4z33WgiwzKy+c18aelkM/LFL99cB8QqmHl7dXP889cUp5hnbv/ffy73bfeWe0eHsWumDrEeV88lUXWaTWQa2L/s31h/IBE9vn0t8XE97vPl/a+nPLJ5x37x0+6V3K+u+Ek9nhFTphRhMfzu9kaFMMYYj0/C+kwAzDDiMreHduhzJ2M2316bIu5qzozh4HuPemzAb/Ng7wVvvKBCMETY0G7y7dhEyaiLALMCyRMfsKSTAkImYjaixHM2kDSQERCQPh2L0buey+Jfz19ZZM5fQ1QcDaTQlqa2uJRjWHAP+D5Hn32hLXN9QPTUpTUxNr1qyBBgJQrc/DILemQRI9gWOiZYOwpCN5LxYMpRPw8ib9kQkLJO6HoHkcyzopNj3xy9yzWFLSOdDPXWSKNd/yBVT5pCp+6n1tsg7cUO8ntclxIQgXHTuEj+Z1cv0fl7OhI8m3Jw5gx9EVrLpzez5t66YrbtGxweL7+zZx9G71tHYkeemTTZx9z1eMq49xwE61joQsq9zZ7RpE6h6UrH0sXp09rVee9lVBgGpe9vLNU5zTZ8tCuYwXzib7d+Z2YFkS0xQQgopSk04pkaUGost2vohqMCpSWLbEqO3FSAlkh8GEsnJKIgYf3reNo1mSUFZqstOEyqx6C0T2pn/b8ZD20o1TeOL19eyzbQ0TTvyQE6+dR0/c4qWPNnLcPo0cvOuADGCQbltYMsNwqN+T2v9Be1t0yb8gt5/UNtcBpZqeesBkPvJ7H8SA+jEhWQu7LlzQAK5fGDVtb8HXnxVTjmLIT+LqPVM1TMWkr8fzSGeu/STrX5f6A0oKxQkaHypQ0UGt332+tAqR3zzo994n/cqyEA/+YAxnP7iYw2/9klk/n0ZfVxmd6wZiSZPBVQuhRIso4f6X1vLQWeMwoyJbMKDnISheq1dorHrMoSCTp4Uzh3kAxG+FN3GAhwmUufFSSlgVOKl9ZuJoXbzjn2ycMzlSZM5lEe59NYiEhC6ZTnvKiDI+X9qdv85bioo18fJrY338+P3fEoDaZ43y1dwqG/OzDriGHK3K0XvVc9Xvl/D+gg72Hlud0eBJgewT7L91DZc9sZQ9J1enNSnz1/Twq7+vYPiAGE/PauWQbeoY3hDj5D0aHS2KDSCyGQ9LOu8sMt+DBJkUXLTXMM54ZAE7j65ExOwMyDEydRZmJg4mjnbFBsIglxqceGATv3tuDYtW9aXn+hwzb0OwdkOCpqamzWj8fx/pctuvk8431A+QktakTNVeFCPl9GOsgkgJo3rgwnDHd0oGM+lB+Uuf0+vVPLLOCtH+exTKAJR8o0fdAKxqfwqCGtXe1VCeFaICrgpzTIlwTqrdfetqth5Zzh9eWMuJD8xjQ2eS2vIwrZ1Jxg0q4TvbDeDYcQ3INQYDKsMc+6162ntTHHrNF8QiBiOaY8zYtoafHDOE+upIVnlSKUnIY3x9iiZSMrtNTK2Bki4g9Pb/GBrTjzNJiW4LyhT3yKZBRYVB1oZyl0l84YMNXPybxfzypGEZ0z4LKqImXRuSiD47vei3bUpy09MreeiVFgwBx32rgZN2bGTCgCqO2rGenX74MY//bAI7TKjMBtxB4Nvth7qqMD84xDF1a/3bztz85ErGDi3lBzcv5C+vt7LntGr+cOl4mqoiGQ2KylClXRNn0kwDDC2vNCDx87Wvajiz4onMDKvXxQ+gFJJ+e9/Tlphsg8a4BlayxpUBadMJ/dvSye+E6kISWd/yaO+LZbz1cvnFLxbw/Luov8CkmDA+8qV+jxdVs4Byn8PskX8NcuMJU3D9MSMYdNZ7fLqqiymNYUIbksT7SpzxlCCj9YhAR3cKQ4DprRGQq8XQv1sVXOiAJMvkRvvvxckSPCjtoK7ofls/dFDoaVO9/6qZmQd6DByGVpBxO2wocdOaFgFhtwF63DSTOEDGhFWtcYbWaxLvQgI7/V2x478Y4K2HyZnzAsJLn/f6d18sqWNTjZ9HIJHjAUwBKkIIpo6u4JNF3ey9VTWU4mi13EM6S6MmjTURvlzbQ1NlhDlLu3ninVZuPX4kVeUhzj94EEi44vGlYDVp2hpVCCwy4CNrfwvI3ijjB1SyaF0fo80IVm8YYdqIkJ1hiqIWIuyu070C2W1ARCLCEtFg8cXqOJ8s7uYvN0x26qq1gyecXLcpSXPz4P60+Df0v4yKBikDBw5k7ty5mQf9cTG8mZQFRpSPPxtY5JEe+4XPChug6fka5JU5x1tREAVJzDxGqSgprC4BLy7e3tvVsPe2NUgpWbiql1Vr4wxuijF7YSeP/rOFa3+ygqEDomwzqpyBdRFqYiHOP2AQvbbNtoMqePKzVsYf/yE///5wzjxsEK3tSZ59u5UL7l7MNmPK2XlSJZedMJSHXmrhxQ83MH1cBbtNqeKtz9q58v6lPHDJOI7fryld9o7uFO993s7StX28MnsTJ+3fyIE7B9ia2hJZYmT9z3g/ye3re59ZzaThZWzsTFF99DsMqY+yz7QaDtmhls4+K91ma9sSbHP2x0wfU86DF49HSslDL69j+ys+4e3Lp3LPYRO4s3kZ377kc+b8bluaGqLZC4yBY5etnqGTBp2Z8lSWhLj65OFgCJY+tgMHXTKHf328iaHffY9Hr9yKD77s5BffG+66/FbSzlk4fQBFWrIq/UGM3l5+VOjzFtov5DKXhSTZfu+znvVjjlHmg1ygQnGAH74eQMkqT0CcQsVQy63n5aeJKETFahUKxdepEDj1o3xMZ6E69aecQcxlvjJo7VwWMzh5lybO+v1iXjl7Gn29pcRKetiwYiDViRZCDb1OWMs5W8k0BLYlHRfjPt97Fnng3rv0cnll002qQmRAi9puqmTfmws85tLUnnvxVM9j3qni3t4U/UTytLBQSTOEw/waOKebh9xMvLQsJS0LZELyyqeb+PNF4wMaxYfyaTm88hQTp9i0oXhNcL4xFgS8/caDHzDz+s9vTPjWORuobD26jE8Wd2U8vaXcjJMCTMFZMwZyyZ+WUl1mMmlQGQdOqaWqxDnZuLzUGTBJW7p7ULRCq2UIuRVNCWSPQR8Wc1Z0snBFK+t7e/jT+wl+utc4zFgSYUhSXVHCtb1OeQxc9/8GMmlgVKSgztG2yJBg7dI4DdVh6qrC2U2vzM/SgNVtcZqbm30a5X+OvjnMcctS0SBl6NChvPDCC2BshiivWDCgBMkCFllSBZ15DwArev5ZccjViAQxTPril+98B69EqqSjQNisfHRGqr9NneU4gGAGQGNohRCMHVLK2CGlAIwZVspR+zSysT3BB3M7+eSrLlo2JljU1kfEEHy5qpcHXl3HiOYYli1Z05ZA9EkO++kcPlvSzfDGKO9/2cEbn7XTWBvhvDsXUV8Z5pm32rKKMbDO0cBIKbnrqVVcdO9imqrDrGxLAFBbHeaAXTWQ4raRVEaup/qFXImL93780FIWLO9h3qpefnvuWGqqwlz3p+XMXtTJ9/ZtSrdVT9xmQ2eSx6+c4HgWAfbdvpaLf7OYC59YxPOnT+WcvQbzztJ2rvj9Uu67YGw6b+E6BgCy93pARqPgLXhKOQc2xPjot9vwu2fW8OM7vuJfH2/iN8+uYeroco7eu8ExNQyJbGYBchct9TtLhykARnQqtIldfa0LCry6+WWnjkH1u8rHePfHTErPThUS5JNyFmN6E1Su/sTbnHyCqFjtTL58N0fSHJTf12EMi9VI+eWrU77x198yGHDdd4ez1U8/4uXF69mzpppkIkpXvJzSrk7M6jiixE4zlUfsMoB7XlzDmQcOzC6/WjavDtLneT5GWPF+lGOCpf6GyHjbCjJZ0tNQ5yNVe5JS4quAwwuvfr+eViksMuvcJgmRTLk/X95Dd5/NDlttwZPB+wNc82lsCo0r9X1QXL/+K/RfJVUYqwIV3P/6oZGGLsTNAJVEUrJ2Q8KxRkhIEBIpjbQ5VlmFyR3fH+WUJ0nGpMtU8tfHkD6ePGbGANljEE/YnPrH+Rwwvo7RDaXsOK6MR95t4drX5nPs9g2MaY4RruxDhN2zzsIS2eOUyahKQXkGoACs35CgosTMOaIg015OuGUtSYZNGZanYb+h/+3UL5CybNkypDECwNfTkkpZm4chm/kpBFgMcpklQ/vVGTZE9kTkp0L3k0QUy8Bp9d2cw0D9gEqgRyIjO0zRpNuqamk5CfrEy1JzOwFqKsLst3Md++2ce1DSnKXdfL6oi29vV0tlZZiujUnen9+ZLu+RezYwbXQZE0aUMnPnOmRCsnpTggGVYXaYWMHOk6vYc3oNny3p4swbF/DR/E5GNDqgZ2RTjIuPH8qJBzUHS8A1iYo+HrP+25LrzxiZmXjd9thl60r2u/AzLnlgCXc+s5qRTTEMAZGQwaYeiyYXpGDDT48ZyrTTPuLqfy7m6m+P4IbDR7L1lbN48s31vHrT1kwbXZ7d/uhgVRufmnbPMASH7jGAxWv7GNrgmESceN08Dt1tALF8Y9QDMF7e+RbNdGYZQOf7HeuaObXM+nO/M150CgIguvZnc8x8ctLNBk6+YMWvLHqa+Q6D9IsXVJ58z4uhYjQghTQs+Ri0Yiko7c2RSBczn+UDJ0FmQTrT7pd/EPkAh5KYyfE7N/LQO+s44MRG2haPImImcOz7DQekuHH3nFzNH19roS9lE4sY+Rlh1Y19sZqkIMGESgJnRU/6hPH7r5qDeeZpKkCROKZtgmyNjK/0XyDDzpojbelMz0rdfv3CKvbbpppIOI/kYUsCeZ36M06LNeOSAffFaBKD0so7RmVm3fPMuzSg0pOwuemxFbx0w5RMemEQSem4ArZxxkdETzybIqbHwLkZ6OPPAzJJwJA89lELP9hpMLuMrnbOEopIrjhsGMvXxnniw1aWvt7DwdNr2W1kNSUR09E2pAxEieUAFO+w1IhzJsoB29Vy2k0L+GJpN1uNLPNvAylZsV6yw9Ch+SvzH6Zv9qRsWeoXSFm1ahWp1HBCIZELQvpDQUxOEIOjqq29Z3ocfSEOAixBCxwB7/UybiYVfU6KVh5fgBLkclkl26+RctPPZJQbNCsdjWGdNLyMie7kIYHSujDtL+2GRFISdTrr6Cvmcv7di4lFDKaOLucvN06mqc61SZYSW8Kp181np/EVVERM1m5KcOlJw5i5V71j5pQuQ0CZ1eK7DLcOTnLq5zHHEipKQ7x661Q++rKTrp4Uny7qpr0rxe0/Hk1TdRiVqktNnv/VFPa58FPiCZtrvz2Keddvx343fsYOP/6YO348ih/s34wwlUXEy0+ngD79cEEXtzzheFAb1hBlWUucZ99p47u7DsgGI+k4Sj76ImkSbOrlFaM/Y10/gDJfWL08UBxj2h8NQSEKACu+2epaHsjWbBa7CfffyWQVk1chsFIMFWLGgsIWk2chEFGIigGBxTCCHhUCxgactGsjU6+cxYaTe7Fsk2gkTioVItUZI1LW7bhOdZm+AZVhzrlvETedMoKKSIjF6/q454XV3HjSyEx+kNFIGJBKSpat76OixKShJpJdH6+Pi9H+qMI7zztTSgvjraHePhPV5MvTmOjgV11LBRmAlRXOPRvFszQwhOOxyTUF+83za3j+4w18dPs0n4psJhXb5x4VGnPFChjypaNbXeiC0WLmBt08T00LMnORdqaKN7/FIgYVJSamN/95zg7CjhESSeG4/TU8gK1NjK4mrSvuqs8MMvO8B1a8CTPpWhBEJNUlYTq7QUTceO7P0NoY5+8zlHktHVzw1CL+EGvhV0eOYHBtDIREROxMeOHmJSUV5SF2nVTFv2ZtZMJwBaSkC+nQ8nV9DP0vAynfmHttWSoapAwaNAgpJavaEgxriqU/Fr8NzSoFSms90pkf3/MRtLCaFDodT+rhffIL2r9RTBkV0veeeM88Klb74csg+eQTeD6Mugk60CWxj3YlT56BaWhtrqtiY7HsnZpXf38EPT0Wb3zWzntfdHDxXYv4w5UT3PYWfPhFO58s7GLS4FI+W9bNrIe3cxZqtV6eBypQGPLceqbHmB8wUeMa2c9jEYNdt64CYP+d6jJhc85aEYwfWsprt03l4Es+54Olnewyoooz9xzEj//4FWfduYj1rUkuPnpIRlpokLsfSgWDWn/tMaWKU2Y08uy7Gxg2IMrIgSXEwkZ2fL2/PDMwLykdtOQ7byQf6NDPwdGf+f1X09Cl5vr47I/nvyDAV4yGoAhT04L7x/pz8rQfQ1IseNHHa7Hfpk6bA1aKkTRvafOv/oK6QpNqIUmQPo6Cgqe/UcmY5hK2G1HBn99v4biB7bR2DcDsK6c62U51LIlZEU+DlOuPHsGC9b2cdvtCBtZFsWxJIql8D0reazckuPqJ5VTETKSUjG4q4Yz9Fdt6dQ3LJ/DwngvtP2TAiN97b6r2xpm6Id4z+8KpV/pZ2pGJElfinDVmiLSjDxkCGTPAlvzp7XVc8qelPPuzCQyqj7ntG7ROBdSvUJivKxjIB8zzfUuFgI2fYLTQN+0JZXWTqyLjG4Zgz2nVvDJ7IztOqEQYMgNcE+pcj/M9qSBYmXMaKsO0dSedA54NHJMwSDMksk8ge02MqiQkBWs74+wySXWgI9JtJiIWWw0pY8qgcn6810DuencV158wAtHtalAUF9gildGU7DG5ij+91MJJ+zVR7nMAqESyfE3nfx1I+Ya2LBW9DIbDYYYPH87y2mucB0JkLoX0syyKK0UegCLIlggXc26CR35SqLSfbRQzGbJ1dH5nf5BZA/Vfj3TA0q9T5vNQTjpKOYUEYUnnktll8zu3pSBJ5SoUtEA/jxtRxjO3bM2j10zk7MMGctge9W65nZ+BA6JsN76CaMzg2Zum0FAXzWWIdQbdID0ecjQnenhwNBApmWmj9HksuXX8dFEXf3u71fkTFr6SzNGDSnjjjqnM3GMA61IJHpm1jgoXnP380eWsaIsrwCaAVFChuCstLzG596JxrHpqJ56/ZQr/+mQT37lqLmfdvjCb+Vd/vXqoTJDHlAS5DA7SR6vfVrE6ay+c6hVMummZgkAAHZS28Ln3Y7SKIbdMxX4D2QKAgPt04AIJGmSPA8PnWVZ6PvG/DvkBhyAGTwW2+pUvrp5PvnCQkepIZd4tJmx/4nhlUBkvvVyFyglpTQcGnLRLI/e/upaS8nZCRoqwmSJphenb6O6v8DQSBoxtLOHRc7bi5pNHcNv3R1EaNTJpAT29Ftf/ZQU3/m0lvzx+GDd8bwS7Tahi7KCS7Ha3tHLoFCYbMKhxU0oYPQ1VW6K6p9cPmlSZc8NNyxu7XhoJHHCTALql45VROnOsSEqeem09Z97zFU9dvhW7TqpW2tafdyg45reEltL2uTzyW/v8voNiviU9vaA0gsqhf5N6WGX+yZq3bMlBO9bx8MvriLvnhrFJIDtMpAtShJCORiUpkJZASudKfz9AT9KmtsKVYVvCGVMpnHg9BnanO7jcNL5Y183EQaWKGaN0Nt6HZHosVZWGSHSFSfZKKBFQ5vExOGMqgeO+2nDM03YeWsGSNb38+aV1uW0tYHVrgr54ipEjR+a+/x8kfUn8Otc31A9NCsDYsWNZsGABu02U2RNMAfttX21KkN27RzqzlHO+g088/ZGuztbJT/qeo2nJngx0ZmdLARHfcnmkStNMN0/3DBk/TY7wJjXPftMzzXM3cue4XQ6iHFO47MrmnAciZe7CA+y/Yx3771iXk97Q2ghv37MN0gOhKekuhD4Se/2LNQU9CYs7nliJaQiO36+RxtpIOrywcSR7alxLZs770PzLJ+I2h1w6h41dKeY+uB2DG6IZ18geCHCTqa+OcO4RrttDG9as7ePP/2phwrAyRg0sSY+TQKYX7bkurTMhbBg8c80kZl4+h4deWsft54xW9neRPa514KKmZZM5Y8UjtS0tma2ZDPou/Z6nzQCU/IX2LoiCBBN+0YrRDPhJ5d2+99OU+GoktedC7TNda6OP83ygRS/blmC2/NINokJ5+wLZPOn1Nzz4mJUUgTj95sGCkmhlkvatqzIY8mko0t+i5Kgd67n48SV82LmKyWWVdPRUkUhFsCwTud4ECWKAlemPMAhbIG3JvJU9XP/Ucuat7KW5JsLidX1cecxQJg4tS+dfXxVmeVs8sy/EO4fEAxdhMtJwtWwq8FA1lyEtvNoWYTJMIWRMt7z3Akd74jGNKrMcw5kTe6Tj0csDKTGgVKTncWFJ3vhsE6f+egGP/nQr9tqmJrsMKum8Q5BplNpXBceamj755w117gqiQtobr9390vWbs9X81Pz1sH4aGMVU0EtfGNnD+ug96vnBrQtYvLqXCU0lyLiBtAykJTArkhl+QOVttO/xrXntXPDwEixL0t1rM6I+xjl7D6YsFEJaAiOaAoELchzDJGG5315ISc8GLIEtbJZt6mPEUAPrXxHkKoHwxmJYOuejGE55PvqikyfeaKXcMNh9qyraN6acPTUen+CWf+HKXoYNG0YsFuO/iXSc+3XS+YY2E6QwkVyGVD9nQFu0c4BK3rM9hP+9H5jwwhQy6/BjdLJU6QFMmZqEPvF4aehUSD3fX1LSCwJFvgdG2iLnfZY3kKB3kGHivbTQ3nlxtQlcGtq4yNMGUj8QMi0pkooEWulXLa9PF3ZxxW+XAPCz+5fw+0vH8529GjC8NAApFSZcB5lK9qs3Jli3McH0sRW8/NEGvnfQwEy+KgjwaefmphgXHDnEAY1e3bw80yIRZYLVFzX9rAS3XPtvX0vy+d2ctISbuK1HJnfh9urlLWbpeO69KXLrhhJG85QmVG2Nbk6nApN8pDMDxWhS/N71h0HWNKDpogQAFH0OCTLl9GWUCu1fyWe2YxPM5PhRfwBEEEDJF67YtIuNBz6oXYmfbw4tNq8sYYmPNMl7rt+rYEVPB0BAaanBybs2cs9rq/nD4c109lYCYJoWVneEUHOvE69dQLVMAwAhBA+ePY6ehMX1f1nJFUcPJRoxnINkJWkBw8oNcZqrI9kAQ/3MkzjgImj98VwTe1pZ3ZRLq0/W3hSUe8+cywMf4IARD8j04Ow1SSjhvbh90pHQhwXJMJx97yKuOmEY+29fSyD1x+yr2LVUT1L9X+x3U+zYkwH3fnH0vggqp963tvbem9NTONoKd51XBSpdfRaJlGRAWQg6wY6H0t+fB1hEVO18JS93Dnz50slUlpoIW/DzJ1cQM0yu+/tyVm6Mc9+xWxEyDBas72Hc4Cjz1vQyrrk0G5h4ZXbNvt5a3M5eE6sQCLrsPi7402LKKwR7bl1FWcxk8bo+Xvh0A3VVYSYMLeXyI4ZQGQ0x6dxZnHxAo3JmXibtr1b1MnbsWJ+G/4b+L1G/QMqYMWN4/vnnMw98JOdzl3Tz1qftnHHowJyFu6BGpQig4CTk/voxPDpYKYaB0l0da5RXW+LHeOhmQsVMsHq++gSuuh/0HunS3aC4Fum+CGwOBQAFnmirM6pBbn99vJDkpXS/y9znWUxxxpSgbVOSZFeKv1w3iaOumMvFxwzlzJsXcvlvl9BQHebgnev4YmkPr87eyKQRZfzt2kmEQ0bmIEeVkQfentPO1qPL2Wd6DVfcv5QTDmh2rAG9MqhjzgeoyKzFJQBke+S1icfgqyZBerqqVzDVHNFLWx93KoPjt4gq/SdDIq/gQChgz3fgFPNtBYXNJ1TIJ3H0oyDpqzc+IaM98+79yAe4A2mNpa+QQqd8GhY/cKI+769WBDYfzOjjI5+EeouIBfW5PeA+KIxOOuiz9Wd5BmeWxFoBK/o7SIOJM/ZsZsoVs1h7QBdl0W46+ypYt7GJnvUxSpbGGbX75xCTOQKH+qowiDAzplbzxpx29t+2NjuMAXtMrOKih5YweVQZNaWh7AMVk0pY76T4fIBWkK0l8fpZrZeqkVEl8+q6pc5ParvFcfY2hKTj4czb+OyVLyn5zTOrSVmSM789MLfN85GXb3++B68eQelB8RpHNU5/voVCQku/cEGkljUI5Kjzu40DViRpq4lXZm1k9MASGsrCyDVOZwtTYicM7HjIPVTRSzfDo0lbOCfBhwRVsVDalGtDR4orjhoOwAeLOzj/qYUkLcnStj7uPm4M7fEUy9vi2NJ2hpLpxMMWYEhESLJ4Qw/bDq2krT1FVbXBL3efQN+ADl5dsIklbX1MGl7GHTuMoqIklB7n0pB8tbaXMcNKs9c6t8gLV/YyZsyYIhr1P0u2FNib4/7VJ51vqJ+y/okTJ2Yf6Ag5DPGl9y7m7FsX8rtnVmceKgu3x9Cm964o4CSX2VWuYqmQmUm+fveYsv4aAwYxH37/9Xub3PB+EiYpcy89vt9z77Lcd5ZPOn5lTpdRe9+fpinGPMPLI6jNVWbDFMiIwQdLutj6R7M46povOekXXzJj2xrO2LeRFQ9tz02njeQ7Ow/guXc3EBZw1sxBfPJVFw+9uC5TJh/PV//8aCPfmlLNFccOpbvP4pVZG7PzLsQsB20uT79XkvJMrHTy00oUYMCztE9e+VTNj05e+Q1RnGe+QvUqhnwXdl29gf+3rgsk8lGQeRbkAkf3v7eXSw+jb4Xw1cAZPtfmUj4th18Yj4rVZP0nKWg/CfjPdyoFzYl+4fLFKSadrDbXyqnRqKYS9p1Qw13vLqOiZgMRM0HcilBiximN9EIS+pZUQreg5/M65EYjS1Nx8HZ1PPvhBl+GtqEmwq9OGsF59y3isTfWM2dpNxKZ2XPi/Uoy56AEkcrIqUDUG59qFT2tSlr4pITztKdJHGDi7hVI70fpE86J4aabRtR5/+HCTi7/w1Ju+8EoIrqmXKV8TifykboOeZffepdPg6jPNYXGStDc5BcnZ00OiK8/U8uix/Eur+1t5V6tP7CyJc559y7m7IMHQjfIlIEVd0y0AKTtSlssAZa7J8W9zy6DK5xMCHrjNrarudl+dAV3HDuGe48fy/3fG8tD76/l0XdbmLl1HYfeNpc/vbc+k54hEREJpRJbQE/C4qlZrRy71VCiDX1UR8McPnUAp+zexPZDK6iIhDLjz4RESmLZUFmq2C0q4/eLFRYTJ04M6LT/OQrqvs25vqF+alImT57MsmXL6Ng4iKqqcAZUKCZe7V0pTtmviZ/ctYg9p9cwarBzQKB+roVHOcAkaPN8OkLAvR5Opf4wOl+XipEK5ls4C4GG7MDOj87I+sWVPs/1/nMXKV/zL500k6+sfiz2dO+g8njk7VFRH9k2p904n9MPbOaKI4YgTTBMI31w4sxta2EHwXmHDwYpWd+R5IYnVzBpZFmm/w2Ro9WzpGTNxgSmKbj+tJGcc9tC5v1xh+zM/bQoXj2ytHk+9VMkYVIFSPrY9FsI0+kGtKsfw+8HVNQF0dMOqdoilfS8goDV5pJaxmJm46B2h/yS1yBto5q0Vw4/72bKXhUdqPiag+n5qd9CoX0r6Thq4bQwxUqE/cLr/4PGs075xn1/ya8Om5OOQp6ZifBbOwq1md4+XkfrY8uAy2cOY+8bPuXsnUdQEumlM+GcjVQS7aFnoWPWJC1BX18J0d5OzEgSkBCG3rhFyBS5c5wAooLGARHu/tFoPl3UzaufbeKxt9ZzyRFDKItmzmpCkjEHCxrXunZW7btC36+nqVE1KbjxDRyTsz7AlI4b26idMUOLw8ufbeTkXy/gqhOGsff0mgKZFSC/PvMTlBXSePRnjvFLr1iBQX95ETUdXUPil3Z67SJ7bCrxN2xK8O0r5nDAtjWcsXcTdDlj2Qhbzp4UW2CEMolLWwXmEmyBtOB3r69meVscIQTCciw2DA8nCBzNDTCoNsrPZg7n8Q9b2NCd5Md7D3IsCiz3DJSIBRFJS0eCDxd2cfL2zcxa0k2MKMJbfL19LLrXOKClM4lhQGV52BfAfr64iyumTAlo6G/o/wr1S/Y3YMAABg4cyJwl3TnvpG2zti3BypY4B06r4Yjd6rn2wWW5iRTDwAbByEKTrZ8U1k96kY+KkRirUtMimKCClE+rESQlUqU1+j34Q/IgyZNXhnx10FStRdHmtIen9QmIu3BlL18s6eGg7esQQmAYDjhOl8+TXhowb2UvA499n723qWH7rSqyJOhOmMx9y8Yku7uuiI/bp5Ela/pYs76v+HLn8zpXjFlTTpxMPYLDSNDN8oqlrIXepyBfx72I/p3pzaJLD1VApUt6CzHSfu2jm0zkkZJmbJ1F9hUQ1k85kJWOXo584D2o7Pn6POhdkEbFx4Tw30YFtBGB2o7+ZiNF1qU/z5tnvufpudCnHkIyfXgFe42v4dY3FlNa3klJyJkfbNsgEY9hmBa9K2pIWWF626pItsagR0AKvljey45jXW9g6nhPz6uC0hKTnSZUcvahgzh4xzp++tBS7nx+Na/O2UTStv37V2fc/dZIfWzoa5Y3Z6pAW2j33nkbniAr5gZOOldHe4ojrv+SU/Zr5NzDBvkUVKN8fMDXBK15BZlqHvk0LnrcIC1NPl5F1UwUs34HaVFs7d7be5RSntnwo7u+YkRjlLtOHY2IO967VBKGdA5aBKSlSFmETIMP25bMXdXDJQcO5Sf7D+GC/Qfz66NGO5669DYBMOGI7et54fMN/Pn9FkbXlbmgKgM8fvvSWn564BAMQxA2BJt6Us53arvhVHDi1VXAvFU9jGyKEY3kTlqtnSlWt3QyadIkn8b/nyU/o5fNvb6hzViyJk+ezBeR03Oez1vWw7DD3yViCg6eWMtFBw/isVdb6OhK5ibiN0GlNS0FCqBLiP0YoKCJY3MXxaD5VLXh/ToTq9oefsAjqE6BgEMJ4zcx+oGVzaQcTVixWhQINJXZ1J7k5j8tZ8Y5n3D3UyuxFWb53FsWcvTe9UwcXgpR4XrgEpn0XImPFFAScxK9+5wxCDdMjotslyGNJ2zCrsvc8qhBZanJ0rV9JBPaBsNCjKCfVN+P6e3PBNSfrzSIWQ0K2590i9V4qONMfZ4vvl9ZCsUJYsCLHc857q790vw3q1+DTMXyCQWChCReeD+mNMgULl84Pd18VMh++usynl42Qfko85gfgAlkRgsxqsp7ISRjG0pY250gUt1DRUkHIcMiZYUJhxP09ZSxpm0gKSvExs462tYOpG91JbLDYMXaOEPLYw5T7ycZ9zgSt/23H1/B7T8YxfTR5WzqSfG92xY4Tkm870ovt9fnnmTdT0CnpJ/uaxXcxLUwKP9N5T6E4z5WkN5A//g7rUwYUsovThqRnmsLkl+4LTROMnlsRhy97Qppa/woXz38zCH1TedZ67XwX7uV3/e/7OTF2Zv47Q/HELIExIWjpXC1JcJwNCq6ZkmYtrMPxaWvWnoZ01hCWcygosSgoiRENJq/Ec0w3H7cGH7/vfGMaohBSCJitmMOaMGnS7vo7HP8Yu8+upr7PlrMJ0u73MhKedQ1w4AvV/ay1ZBS3zznLO5i2LBhVFVV5S3b/wTZiC12fUObAVKmTZvG7NmzAdLnVAgbxgwsAeDu00bDpgjjqsoYO6iEl97b4A8LfTaYilSwBN2J4/PMm/D1hTlIaoEWJut/sPS4kJAwkHRYnA8y69oQ8AcmftoR/XmQxEcqz3PS9qm7H5Om7iESihvi/gAULx0t/b++uZ7Gme9w7R+WceBOtdz26EoO+cnn9PVazF/aw7uft3PzGaOIRgxkxHF7KcPKJG66px8Dj72+nl0mVlJbGc5Myn7jwBBsO66CD77sdMJIOGa3Bs64aSEDZr7DC+9vyA5fjMQ633u/sPrCWIwE3G0/S4JUJVLFnCWUTxuZNY76Kc4RWhwvLe/blkq4IAHD5lIWMPwa6ejko2Hx28dSFKlnRBTNzOHfXjrD6RdPD+8XpxCoyZfe5pLSV7pmxA+IBD3X09Lnvax4+QQyfpJtn/xGDChhaWsfosSipKyLaDiOLQ3i8Rhr2ptIyRCRUIKkFWJZRzOLV4+ma/kA1qy0aaAcuoV/GbzxoK1XO42v5PCdBtBUHXEeqW2ufi9+JkPe96aejZJ15phW37jIbSMPoHhhI2TOaIm5VwiWtPYxbWS5T8V8aHNExDogy0f6eNaz8xsvQWti0BpaDEDJSlcDI375q+NUDa/+98Jaym8KfvXUCs7Yr4mGkggkRHoPCoARSWXykzjARTgAJaudLMEny7uYNrQ8e57w08rpvJYXLuIAlIUbu/n1iys55/eLGF5bwrXPruDJD9YzvCnKPaeP4I/vtGS0M7YbN6TkASxZ3cuIplh2Gdwosxd0MXXqVL6h//vU72Vmhx124P333888sCVYkqvvX8qIxijfGl0FQiLjgpnb1vFH9SAeH8Zc2CBSEhGXiIQLEvwYbP0+iHnPVzN1E7gfQAkgP08/efMBf2CWb3IuBFCCQJff8yANTCGJoVfGIgBd4B6UQuYqfuQygLPmdXDMFXPZenQ57942lfMOHczsO6fR3pHkwPM/5YrfLHbm2KQz5rBwDl3E/fUknm597/zbas75TuY8k7RLWjsXrNTVhFm7KZEu+0VHD2FIQ5TzjxzMcdd8yYsf9AOoBLWf2jeFQLVffDUfpZ3PuHUB0X3fZNm6PncRCgDb+sLt9w35/ffCpv3U5wFBEueQVH0M+D1T0y401vONcwgez6D0i8y+vLrk5OvTfn4HQxrZ7SFN4c+L5NVQKGAln8YjHZ7Nkw5vKQrKu9CBUf00OysEWvJ+K+S+09MqqJFRGUfvCsGROwxgzspuHnl3LdHGTirK2okno2zqqaYkFMeyDWxpIKXAFDaWNPiqpYG35tk0RyucNBM4492vrz1NhZ39fLvRFbw1p90BCfrh26p5o7evBDKb3j3tjSTblFZtIwuHadTHoAd0bDLmRdJN1+vyELR2JR1PZnq/BvVRf+xZgvoYgr+tID4hX1p+c5DfO50Kzd1+jiP0Ndz79XM0ocZTx6MLVDZ2pHhu9gZ+uHezOz9ISAlk0kDELETYzph0QSaMR4Z0LgGfrexm8kAXbBo4WhYD1OMM0u/CThpSCoSQJG2by/+2mLMeWsQLn2zgoCl13HbsaG48fiT3fH8MJoLr/raCkhKDlGln+i5MZszbOPuekpBMSXoTSoMqRfhgXh877KDtGf0voW/MvbYsbRZImTt3Lh3dGXR+719X8+ALa3nmiokYpqNaBNhuWDkvfrCBf2qSaI9BdDQnbk+YOBJxnWlQF2VJ9oeG8ryY2vm5OC7C9l738BPk8r8oKsRsgT/Tpr+TynP1meUT3y8NnYrRBAjwNp0DpM/DyeepJd+ioFBf3OK8W7/inCMG8+Gd0xg/sASRlFSUhnjm6onsNa2GYY1RDtyxjh7bdhjmsIC47Rz0FBbImMMIy7CAkGCPqVVcev9iZi/odCdEkWvu5dK0cRV8+lWX60FMMHhgjH9cP5mrjhvG+YcN4pbHV+ZGKoZh1BljH6lQVnul4xE8PlQyoKbMEUHd89fVuekGkV/ZdSmZKrFTNSReXdRx5weGdRCGz/NiKcA0sCjKAiyaVsTv+/d5r4ITKch2fpDOJzudzZ4j+lO/YsaIHt7vvj/lCBLSeI0UBFg2t16F5sv+pANZQCUvGMoRLEhqq0P85cyJnP3IIn796gpKh7ZSV7WelB2iM1FKwg6xsbcaISQNJRupinaxqmMTo2qHsq5lJFZHJHPGSB8u4y8zXhf1/N2N7M/ObmNQTdR57sWP4Jzc7Wk2PJfD3qGQHgMYI6MB8b6fJM65JxIHNPUKJ14fGbMvLy/PYlsFKxbQKRzNUBJa25PUVfXLD4+/JnFztXNBZo8eFRo3foI8/Z1KxY7BIJND/Vm+ca7+Tyn3LlC5+4XV7DSmkmG1MbBAdpvYCdMBJxIwpQM2PKAilXK54AQBhCU9CYvyqJk7T5huOHf8CCHT2hohJEQlq+J9NFaHuePkUZw9YzCj60tcTZykqsakvjzMkIYIWAIzRAZsJ3DGonc+TwiWtvbx0L9a+N6MpgxQVoDnB192/veCFApPX8Vc32AUh/o9JTQ3NzN48GBmzetg8epezr3jK376u8X86YJxjB9Q6gzgqI1MGBx+y5dYNixa2ZuVRpZnJZ3B8WNG1N5Swwufqxjqx6ZgIXE8XGjAJOhQwOA8yZ2kgiYlP+ZOZwI9BtLyiR90D7ll0J/rC0dBl87Cf7HxKF/bKMz7Q8+uobvH4urvDXfAaxJn0U5KamMhrjxmKDd/fyRPXLoVI+rdE2aTrokgIPpshOUwj95ZKg+eP46T921ij/M+4cirv2Dusu50WT2w4l2fLuxi2tgKZFhgl4eQMcNpE0MwbnAJLRsT+dsB/NvWY3hD7gXB2i0/aXMh6boNu0+tBuDeZ1YjujxODP/vxvtOdHBhkfdblLakq8fKDeNHHhDzq6P6XAXahRjQICa130yrDyDJEzYLmHjgRD9gVgMyfry69BZ4lVSAr54rpI+JzQVnOfXJ8y6foGdz8taBSn/7qRD5AWS/OvgJfPKUI69ZGYAp2Wvrap4/fzJ3vrSaw+/4gp5YK41V6xg/Yi4hw6IrGaMnFaM97kikl2xaztSmEFUlHdgJ02HOOgX2WtcMVe17lbz5XTrnrYwaW+YIZkJAKRktMmQ0MH1unLB7eeno30zcDR/HBTcS+kR2uBAOuIko8Txg5eUZdpjXNZsS1NdHg9vNj/xAWbFjpL8CAL9xrK6tarh8Ar2gtTVon0k+wGHnAmXf8BAYpr3T4tYXVvGz7wx1+ikGotTGiFh4Z5TkFTZ4GhIDpJTZ+4m8fDxgYjoHdjqHdkpE2AE/G7pSXPanpVz+x6UkbZv5LT0Qkc65QSXSAckGPDWnhZP2aCRR5nq68wCwZ5rmAm0LyfdvX8Cx36pn24mVmfXEvVa3xVnV0sW2224bULH//+i6665ju+22o6KigoaGBg499FDmz5+fE+7LL79k5syZVFVVUVFRwY477sjy5cvT7+PxOGeddRYDBgygrKyMmTNnsnKlj4D2P0ibtextv/32nHrbJrY++UM2tae4/+yx7DG52vGV7qYqwjbbjXUm6R22qsyAkhwmWLn325OiMzRZEwOZidzCf5HKV8MC3nx0t6KBQsKsSS1AIqb/D5LYFGIAgyQvetpBE6P3Xyq/AeRfV+m/r8NvoS1idC1Z2ctfXmnhrFsW0lQXoQQX9KgTJEDclTZa2XuXZMjV5rjuPUXSATYkJaYNFx8+mC/v3ZbB1WF2+cHs7PN7vKLbMH9ZD5OGlyJ6bIzOlKuZMcCWzJhSw4KVvXy1vLc4xsiPqfPrc0/qGUR+zKpPegfvVMdd546mJ27z21fX5n4jfmDFr8x+RbAlb3y6iYN+Oofag9/GsgIGTNB3m+979vJNj0slbV0DpQoW8gkZ/My0PPK+9WKAiuJ6ODCcj+ZEN/fy7n1dFPsB/C0JSnTKB3gLCXr8xq6e7maWWRQyFdMpX/Cgb1N/VmDezGEIU2R17I5blfPhL6ZhGoIdbnqfj3sWEKrpY8LET2gqbUNKQUWkB4DhVTWs6+6mJ1HKmtXDsNtCWO1hjCplr4DfOFDK2lQd4ZEX1vL311t56eONzF3a7cxzytyHEBnTGUFm/gzjABpvXvUOiEySYRSlyDX38trH06QkgKRwz8DACW9CRyLFx4u72XFcRfb3os7f4L82+vWFTsWMq6D4/QEzejn8AIpOfpve/dJS3udo7uzsd2p4v3Dq2PzbrDZGDIixx/hqpy+7BKRAlNiOBzaPdwnZjmYFsjX5yjfR0W0RCWe0jN6vEDJj9hXCAaYudXRanPPnr/jhwc3c9oNRVFaGeX7uRn7y6GLaZcoJbwIRsELQQZIzfv0VR05tcOoTAaIyvb/JKpGc9+BiVm9IcOOPR7vjNrsZ35nTwcSJE6msrPTpkP958tPQbu5VLL3++uuceeaZvPfee7z88sukUilmzJhBd3fGE++iRYvYddddGT9+PK+99hqffvopV1xxBbFYLB3m3HPP5emnn+bRRx/lrbfeoquri4MOOgjLsvyy/Y9QP/WzDn3rW99i8eLFvHxpA6ManA3zaTeGSRw1oIDzDxzMNYnlTBujbagTAmm4zK7KpOhMgCp1RQurIHxd6lA0FWHmVfT6GWRAGDBRZcfV3gdJc/R66vHy5e1J0dX01cXIj6nWmZhi3TMHvstmENs2JtnptFls7Eyx7fgKfnBQMzIiEH1uGG9MqZLAEGkTCeHWQ4ZEWtOVLqFS9yH1UW790WgO3bOeo67+gnc/b+fUmc3stHU1WM65PV8u62HP6TXOpJh0pOIyLBAhQVVZiP2m1HDnUyu59ZzRwd5r/DQhQf2vMiH5qMgxfeQeDZz566848/avOPWAJoRpBMfNq93K/rvXeZ/yztwOAHabXImpnKeTN65Xd91Fsp8kUyFhyfxmUjqQKRBGSJw+1tNUT6DPR37ARHdjncfZhn+aXlpewDwDwW8M5UurGApKs59YwddsMeu9zDRCgXoIIbMX5UL1/jqkltebY/S6eEyj6izBO7fJAKSgtiLEE+dsxT2vrOGwe+Zw2PQBXH/4CAaOXYRYOJL2eAVRM8H4ATU8M38Rh46X2LZB69Ih1NSvQ643CZm9pN2w6gAyRFr49sNvN/P50h4StqQ9bnHXc2u4+wejM+E980PPpMsTQHkCPC8PD6SkhVRKm3sLnqf1UwUoHpiJSoextEmD2lc+38To5pij4ZbKuqkDlCAq1NdBgo5ClE+g6LeGfh3Kx4Moz7IAh184A3/mVBUoKuGent3GEdvWZ/rLM8tSvGYJA2R6nHuAQ2bxV0JIqqtMuvosuhMW5aWGI/RDZja4e+QeAPnXWa28ML+Nq48ZxuDKKKQEp+3aBBLe/6qTyx5cyswd69h311qEhKnjyjn+9vncd9YYBkWj2U4YDPhkcTdXPbKMRat7+cd1kymrDLlsi9dmTjmufnAZe377RJ8G/O+gQnLm/qRTLL3wwgtZ/3//+9/T0NDArFmz2H333QG47LLLOPDAA7nhhhvS4UaOHJm+b29v5/777+fhhx9mn332AeCRRx5hyJAh/POf/2S//fbb/Mp8DdosWd0ee+zBggULGFofzZ4I3WMlhJCIqGTemh5nM507xoRNWpriABRlAdOpGBBZSAKTFVaTxurZbc6oypd/f8rmF9ejQhJp9X+hOvilpd4rB24GbqCH3D0dxezw8jm5/JcPLGXkQAfFfzSvkxlTqh2AYgClbjjPTtWv7JZ0PHmFNOYmJ28n3u5bV/PWndNI2pKDLvycn/12CVI6ZkyzF3Tyrek1jgYlKiBpO2PCXfx/eugQHvpnC69+uDF/PYPaVi9PsRSkUdCuqhKTVY/uQOtTOzkgKm94gi+Xunotlrf0YduSgXURrjx+KI9dOSE/U5yl7fDqGqCp9ItviM3fx5GHAtP009IUE0a/3xzSv7v+esbTtR5BmowgDUl/Z/6g9PtT/QKmi4EaFX1u+7pjxBbZl18e3n9Nu5L1rUiBMOBH+zbz2XXT6UqkmHTlR9z/wSoahy6nLNxL0g5z94dfcPLUCYTNJEJITMNC2gbrVg7BWh/N3megUlg41gkmVFaE2WVSJXtuXc3oQSVMHVWedr/umSFKgaP9TZHZNO+lm9aYuGmnD+dzmVCv7U0ccOQJUVzvUc4hju67BJk9L8ALH29k/+1qHcY5RxhQZJ8EaUv0tXBzuT+1fQsJ9Ly8+pO2mkfAnJoXoASVIz3W/J8vWNvDVy29nPPQIs5/cDF3vLIaGZWkDEkcmx5p0ZlIsqk3RWtXkvV9fciQDaZrvhXKNgn70T7N3PLPFWDAhp4kfZ4E3eub/8feecfNUdR//D27d/fU9N4ISUiA0HsHIYii/EBQioiKiiKKKCI/K2JH+CH2Aopd7IIovfcivXdIAuk9eerd7vz+mJ3d2dnZvb0kqGi+r9c9z93u7LSd8v1820QA5fs3vsyCvn4u/NBMpo9uh4Ywxplgj2lD+exRm3H/i+tiQdF754zjq++bxqTx7bGGJQgll925jIM+9Qj7n/kwE8fUuPk7OzJtahJ62OQ3/nbHcl5ZXufAAw8s6MT/LFqzZk3qMzAw0PSZ1atXAzBy5EgAwjDkiiuuYNasWbzhDW9g7Nix7LHHHlx22WXxM/fffz/1ep1DDjkkvjZx4kS23XZb7rzzzo3bqBZovTQp22yzDW1tbTzwfA97TBuSltpoCqEeSKaOb089G5sKpSSixjWTodloUo78jExh33oBFcgy6WUX5qLy8rQkRUxwWem8+az5TB7YcIJIkf3uBAhJurifI+nzP55aw0ffNpk1PQ2GdlVo764gQ6lAR4iKHqIXaR0G02SSNdD1RdKEhkT4kYjIlNxLiRiEGRM7+OVZs3n4pR4O+dCDXHbrUjraPHbYopvJI2vIEGRnBTEQJOOmArtPH8IHXj+en1+9mDm7jnT3k6Y8TYN9v3CzUmW3MibHDouMx01ppoOkbQJlRbpata7BXh9+gOcXKqnDVeds5z5Ben1AeJlnrNPeIWlLrl8YDgYp51pRnusNOkwq0K5seN5YAMf4Lo00msqmDY37GyKpTt0vqXltNiZarVdsZ1/yATtykUk6j0gLLT2hTraP1xU10aaMrvGH07bmqodW8rbvPMHeM4Yyfcwr3PFUhf56g+kjh1Lx6vjVACFC1q4cSXutn/q6duRLHv7wAURHqEBJjSSUuucpLZMPItIgz5zUwUV/X8htj69mv+2GRYKAqJL2uqP3ZHNN0uZgkO5/PSHs96Ed8r0ov0Aon4MqSCTXPrSSH58+K87C+dpNAVhZKrNWbEiaDZ2iJSUquef15FEeYLLHdShYtGqQN28/ire8biSE8Id7lnL6L1+gzffwPYEvwJcCPxT4nmCgoaJwnf2WqbRVjcHiwereBvNWDHDfS2s55efPMH54G8vWDdLd5vOxQycxdkgNEcL5V81n2oQ23rb/6KSuvtJ5UFdmSiKU3PnUGvaZORTWSgWKqqgw1YNq7Nz97BpO/NYzDDRCPnTERP745W0YMbKmgHfSeamu+Nj3nqWnrx5rB/4dqQWX56b5AEyZMiV1/eyzz+YLX/hC7nNSSj7+8Y+z7777xoddLlmyhHXr1vH1r3+dr3zlK5x77rlcffXVHHXUUdx0000ccMABLFq0iFqtxogR6b1+3LhxLFq0aMMbtJ60XiDF8zz2228/bpd7sQd/TyRB0QBV6mXYanIHN167moyjqXEqeGwSYktb817yq2AG0BI4sRnQsgBlfSU1LulP3rMm8Mgj/axp+gXZdoWAJxFSIDVI0I+GqIPFIB+glDClGT28yoo1dT70lknoyFuiEZlv1aX6rytcxYjxLyNJjFBR4bxIJazHkZRpJszwl5FRKNzttx7Ki5ftxaU3LWXRikE+dOTEKOvINChywCeU8fies81wTv/VC03bFfdf2futrGguAOQoSxSMgdR4j3xMpEjqMX9xP/OWDvCDU7bgW5e/wivLB5K+zdOgODRlxe0wninyI2lW/xLXoRjcbFC0Phet7w6lo+U1oyIQYj9umna6hBr2mqHBirlO5AlMXKTvr0eHNrXBdrWvsC6mhlVmwUhRXjppKNSzMrmmmTCVLykp16E7juAtu4ziLd95gu+/c4BfPrKaer0NKSW+30AISRBUWNffzahhS0FI6r1teG0NCEDIMInUFYEPWRWIQKrxEUhq7R7nf3A6n734RfbdeXgafGqTNEgsHOL+IG0KpAU/5gGTWnuk24bxu07iZB/V8Zc3L6F3IGTf2cPicVa4n5Yd4za1+sirJCNI8re0Ii6NiU1l+BZjnKW+m2M3GpNrehus6Q/Yc9rQmOc6Zp8xHLP/mERw3Ig+QSS1CgR3v7CGL/51LgP1EIGgvx7SMxCwdiBAAF1tPvtsPYw7nl7DkHafucsG+NF1i1jZ22AwCHndNsN4276j03wcqMhiEf8nEdz11Fq+dOxmSvNWQe3hdcX//emeZZz03Wc4+x1T+fCRE6l2+GpvNsFspGEWgdqHV66pM3/JILNmzWL8+PElOvNfQxKB3Ahx4nUe8+fPT/nftLUVB6g49dRTeeSRR7j99tvja2GoBt8RRxzB6aefDsCOO+7InXfeyY9+9CMOOOCA/HrYARX+ybReIAXgoIMO4oorruCMzVHOdIAc9JQ/ihSIWgAh+DnMkgikeglRVBz5akkem1Ch30kR4NDt0otuGRUyNAcYZhp7Acx71rxugo8i0CKNtObGVZIUUGntGZPueWw1Nz+4ijPfvplanDQFkQ1tVSB8gaxIBGECUHTbhAoVLCNpkPSkAirasTsCMBDtJ1raWPUI232kJ+jsrHD8YRPU+w9lwpcFMrGprku1yPowsrvCwhWDrFw1yIihOnTOq0epcVmkQTNJMwABLZkQmaBmm6mdnH7UJH52wyL2nT2UI/YaFc/RXIbenMc2+Gjm11GCNlTbWeq5jbQGrbdGFtafiYNiwU5euoxggrRWpWxZqfWr4GHX2I3KLOWXYgMVp3bIAUgKtCXSuic0KLHzN+ofa1TMukbmYL/64Fb835XzOeq7T3LXx/bk93f3smjtADM6QnV+it+gVhmkt6+bEUPX4XfU8ToC5KCnDlTskErzG6hyVGhgqcy/orVqYCDEiw6yFVrQ54MwzLAy/+19JF5LyfqfmNQfgaVAIIaHcYhiWZGc9au5/OgjW9Be1fugpc1xvsOcMZ63xrW6PxfRxhRwOvIqpTUxwYf+bd/PuxfnLehu89luYhd/vHcpHxk5EboMPkTnX9XlRcBSSvacOYQ9pw8FD3oHGxz//ad5/bYj2HFqF7tNH0IYwm//sZhvv3M6tYrHn+9dxvC2CnO2H6E0aHqs1I36RGUIATL0WLpmkAqCTq+SWhB7+wO+cdkrfPOvr/CbT23Fm/YdDYI0QInzTDf+xYX9dLZ7zJkzJ6dT/jNp6NChpYMEfOQjH+Hyyy/n1ltvZfLkyfH10aNHU6lUmD17dir91ltvHYOZ8ePHMzg4yMqVK1PalCVLlrD33ntvhJasH603mzlnzhxuu+02BvRhOzFDLZANlW3vQEhnm7H6hcnin/LXs8N6xulzPq1SQfSufKar1TIKnpfGx7zvAiHNAIrdD64Fz5SG2c/kASfzmdB+Tsabo0mxj5H5TFymxNR72n18zi/n8tFjprD3jsOjM088tUj5ajzImqf8Q6oCWYl8FUKQPsgOLzoTRWUaSxl1c6LNW7Z7hJ0estsnHOKrPH2BqId49TAed3EkJl8QdlZUfnXVIDEYLcpV2HWzIew5awgnnPMUT8/rdYacLfpA6+mdfVv29KcoGlqpU6OM8eFLwVffM407vrMTF358FsM7E1lGXrSrdH2teuT5dTjysSm3TzYyud5PUX2a1nFjMkNFq7R5rwhY5AlRzDXBZGrL5mtTqwDFojjEqSbP+uj66E/q4aJ6OT6ZNErAJgMvAS4S8vxWYh8VSPWlh+Bd+46nvx4ya1KViUMrzF2zDgDfb+B5AW3Vfip+nXpPB7LuIwPjlHCDsZc1TzFw0flNst0DT/C3u5dzyC4jlLZXa0P1OikioGCKIDUQ0R9QDGxIKugNgyILUiIfldj8Nnr+6Zf7WLmuwaG7jjT2I3vuu/q5yUR27YfmvfXlA/KAz/rO1SL/PJNc465oHNqUM/4EHme9aRrnXj2fAfOcEQ0+tW+RIIm8CklwBeCe59Zx4n7j+PCcieyzxTBqeLRXPN6z/3hqFZXosJ1GcvlDyyNNDMo/aZC031Kg546q6+/+sYR37zkhqUsV5i3uZ89PPMTl/1jO9Rdsz6EHjon2eS+JUOeRaFFM8oQKZOf5//YgpaQbaalPWZJScuqpp/KXv/yFG2+8kWnTpqXu12o1dtttt0xY4meeeYapU6cCsMsuu1CtVrnuuuvi+wsXLuSxxx77l4KU9dakzJ49myFDhnDhbQs57Y2TYI1A1ELC/grCDxEVybp6QGdHNBsMgBJTXijQ0Lrf5CyDIipjypFhCG3fB6zfGbvwSDIUm68Z96T1nKaiBa6MBkXmfHdpT5oxL4XmYZbJl9M0z72oxLdN4VIo+etNS7nlgVWc+5GZqnoDYWzupc21RBBd13l0KIBBGGnhtDYlOrgxlrSj6igrCvhIX8TABBQQETL6H/2WnsCrh+o5TxC2+whfqPJNyeRQ+Pkps/jiX+ax64cf4N2vH8e5751Od4cBxO1zL+L+WA8G1h5nzaSPLtLjMWOOZz1r2+8HKBWvaS4UUezL4Zh78XwrmpempmVD/Tdc8xPjmv27gDLnmuTc07/NMMOZNM18klzkmkdmfmW1tc3SaG2EyxTMNVbsdpmaFmlch+Rd2h3YYt1tJ/pYQl3C1FGlk7SiPVEAJVUDteYRaVa02Zd+zO4nDSoic5f2SPM7UBnkuF1H8d7fPsr+03ajLTpror29j/nLNmNUuAKkoNI/QHVkL3QqIBD6kgefXcfDc3t4al4fjUCCLxjT5fPxY6dw/f0rufjjs1S5VW0qa4Rn13WrGnUVOf3nocCJ7ksddQkUQ6rfhT7t3gcG4caHVrHX1kNoNwWRrnXG6B/VoQ5Nir3nQVZr5srfft51vRVwkrcUFY3fIhP0sktb5kR36b5u5fk/247m7T99nPlL68zoqCGGhslhngIFWrQ2RZKAzIrix25/ZjUffP2E+LybOH/dHh/aPI9qRbCyr6EODtYRuSIwKwc1j6eeFe0hz63o5bRpE1W+Idz21GredcHTHLrHSL7zsZn4VU81w7Xm+SLVn9JXJl/tbR49fY1/e6f5stizTD5l6cMf/jCXXHIJf/3rXxkyZEjsQzJs2DA6OlQE3jPPPJNjjz2W/fffnwMPPJCrr76av/3tb9x8881x2ve9732cccYZjBo1ipEjR/KJT3yC7bbbLo729a+g9QYpQgjmzJnDUy/fpAZsu0T2eAT9VbxaA6+9zrp1AUM7Kg4wApg+BM3IBistMjXCnHRx+TmUx9jYC1LRwpQHQMosZEUApeiaTWZ9JWmgElrXNdOR9ypCVCfq/g+iBU3/1sysJuudDtZDPvO953lpQT8PP7OWtX0BF31+NrO26EY2Qqj48VjQa7IIpJKweKhTlRsy8RHxlKZFM7iy6qnrFQjbPAVIPGUKpkGK+i2RbT5EWhRt6xqDlapnaaWiDT86BRdg7MQa3//QFnz8yEl84AfPsftpD/CzM7Zkjy2HpPvM3ISFyL6nZtJE1zMRvbxkgBsfXsXrdxrBhOG19E0bTGP8pslvG0RLmZiNhVHXOMBKy5QKmrGBy3meMMFZbkEac043s6uPKF5XWtVH55UfZ5xjDlP0TPwsxeuDLTRpEcjFafQzLrCi14tm0qEWgJwGLRl7/8J12AAqUb+kwElR/WT0kJDIUCigYlEMpEyAEjFqlUjdUG8LGTZygFFdHrVqiBCSer3GYL2NIPQYqLfhDzSodvalHNQvunoRgxIO2H0Ebz9yErVIuPLoI6t5x1eeZMSQCngiFtgIDJClfQA8FMNnmsDqNU0zmVWgz+pDSVqb4oHs9xBdYcz0vrSyny//dh7nv3+Gui+SV27+N/vH6rxkjJuCFHM+m13uAix5eedR3rxoZQkqGybbrn8rIMR13VFH4Uk832P80BqvrB5gBknglPgde0Sho0Gu8hDtYaJJCWB5T50x3Ybpsh89r8FoBHZOP2ISX758Hhe8Z7rKr1/lIXs8ZN1D1MLkuaok8KQyDfPgjhfWcNiXHucL796cjx49SQXOSbVNCwHM/gFzM5YILr5yEdtuMzOOWLWJEvrhD38IqONBTPrZz37GiSeeCMCRRx7Jj370I8455xxOO+00ttxyS/785z+z7777xum/+c1vUqlUOOaYY+jr62POnDn8/Oc/x/db9AfYiLTeIAXgkEMO4cILX4wYSRBBiN9eVxtBv2DtYMCQTt+9CFiD0EmGlNW0iS9FJvNQxKDlSb7jOlrf8xal2IE8vXFlpJY2FQEU83k7faoNRt3Xh3Nsxiz4uv+tZzTIdDz/4oI+lqwY5Irbl3Phpa8weniVU46ZwklHTeSgXUfQHgCr68hOH1n1EAOB0lxU1UYv2zxEf4Dol0pbEmlNpO8lICgKbysFyj48lEp7okFLIwThQTXKayCk0ZksyGHVUxqUepgCKLLqKe2KJwhHg7ciSA4L9YCqYMbmnVx7znZc8MeX2feMh/nzZ7bm8L1HufuwrHmDSQWRia59aCUnf+c5uto9Lj5tFm/de3RUjpVXmY3YBV7tZ80gCc66WlnmCNNboXI+JDnXipiHojSu+WdSnhS/FUYpj8wxoqWLtills3ZpymPoTCpa28qMm4w22ZHWBCpFgNmmVvvTBk1ll0Bdv7z0NlARpLQp+qC7zDOhYG2vOqhxSM3n8Rd6mD1mOEGgDnnyvIBQeowbspSuIatZu3oEQb1CJRqXK/rrPDm/l299bKYS3FQjwUsI2209hK52jzfvNVJFQawr4Y0EJcQRQkVa0ju71vBr8kXURzJhpCuoZ7SPgQkaAoHsEyryWBR6eN3qkKPOeZKj9x3DOw4em9EoZsg1bl1j2yY7v2YAPM7baof9flsdXxuSvgwI0fWz2ycK7pEA7i3HdvL04l7232qoAg81kvcfEjvPixFhCoAOypBKRWTTm+tBdBDjpHFtbDupkwsufZmPvmESfl35H4uK2nTE8FCBICG59tGVbD0+CiHcAb++fQknvn4cHzsm8ZEAyvu1hvD8K3387MpFfPi0M0o88K+lVg9iLMqnfNpyi9573/te3vve9+beb29v57vf/S7f/e53S5f9atMGgZTXv/71nHTSSazs3Y0R1YpiLqOJI6WgbyCkvdNbv03cEX405RToZPgtwBEa13LLiR9OX48kDbnmF7FWoyB/nUemngX5NeurZpuwDVhsrYmul122TkNOGkiDEr2AxelV5ivW1Dnjm8/ypxuXICXsvOUQfnvuduy59RA6OiuxBkNGgERWPbUJC2XzLOohytxLAY6wMwIcGqwGMjlpGbXQUZfITlVhbdYVa1x0t0QO8yIwOlhEEj9PmXzJStJoEaooX6LqEY4SiF7jRUZ94ANnvmUydz++hu/9fQFv3m0kvratbUZ5DLZNjryO238MF165iCfn9XLSd57l6Zd7+fTRU5R5VrO1qqgM4bhvlm/OL1NNn6NNeDV9SJqCEJNcc9Sc20VmVmYeeQzH+jq6F+Xl8vXK+15EZcBE3jOv1vtrBrbKgjFNdlpXG/XQ9aThb5J+n6bGJP6ugQoYEl8ZzxXpuYHKqnUBHVWPqu8xaUSNRevW0jfQSXfnGjwvpKOtFykFXrVBW1sfbWPWIdokBHD9A6s49qCxSngTaZSlL/D6A0Qd3nPoBJauNryWI2ZcaS9kpJER2XHtKY0xQpnwEiaAKzYL0vlJlJ8BICKJuFzjIbpDPnLJc4wcVuEbJ0/PvIqMFsUou+z6lqudLDMmXEK8ojHvum6nT4HgfAlMiqmMwGrTeja7VnBPeBIZCLYa38kTC3rUuJTG+NRDpC5UMIZ2ocL/RuPlgRfWsfPMbnXaO6g10dzTI7M+eoB2eM+ccZx20Qv0rgnprvnqUMhqEsdKjAzp6Q/4y/3L+NEpM2PNWP9AyMiRNUvYovbnFFBxvffomRPOfpxqtfIvO1BwE/3rqFVDhRRNmjSJLbfckpsfWa0uVMEfMohXUwxdEEoqWhtS0jNI1CWiJ0T0S7cjaiwdkdmPvqcdhgOZSBL0vbzv5icoKCdTYVGshdG3YlDj6MgigGK3vxXGIXIEzdf+5NQjlSZhRFPvwvHulq8c5K3/+yhLVtV54s97seKm/bn5xztz4E7D6YykgWqjDZFtHrLNVxtaI0xC9Lf7yMhRW1a92L9ByAigmFUz8caAkjSq/zIx3wLEQEAY2U2HbT5hBIzCNqXFCbXzHnoTV4BFVtR1WRXITh/aPKXp8ZLuRcBFJ89k4YpBzv3TfKN/mnzMPrevaWlXzrOdNZ+/fX42k0fX2Gx0G9/92wLe951n6dc+PGXK1eVI457+bZLreZORXl8G3VWfvHHqSmuTqx7N6mfebxZYwExjByMw67ixP2Yf2JS3erfI7GTyL8MMNgMZ8fonHRyrkabFHSgDCFoBM5ALUMz7saDNZDJdGpOc8mUoWNMXMKxDCe5GDvdZU++j6g/Q399JvV4jCHwajSqNvnZ8P0DWPaXNqML9z69j22ldsTmqXjM1LVlVZ+KoNNMnAqmCfLhCwptMYGiMV03V6GMKsYTRZg+ogRgVsk4E/OGOpfzwlC2omkId4zU7hROp9c0QdtjUMOrgGh+u1yaNTx6Zz6XGp5WmSBuUR63MnYJ66rGXCtpQlFWUbv+Zw7nuqRUKVDZItP6gfnfJ6BBOqYBL1P47nl7DvlsNTQSp2sRLg1WPxP8EEEIwcWSN1WED0RlCu1QAZ5j6X69KPnnJi3zs2MnILoHsEFAVvH7H4dz48KriPsoJwNPTF3Dghx/g+QV9DNQl++yzT3Gn/BvQq7H8/zfTBoEUUCZf1z28RkWPEChpEMCgIAjA90Rx9CIXaNG2lObbMpkCDT7Mjw04AuMjC767PpAwiQ3jE+JmUGwqO7rMkWgzqc0W3VZJM6GairQqhfnojStZzb//x5fZ+ui72PLouxkxrMofzt+eyRM6qPkewvcS2/2QxJE9iICEBgraf8TwIwmrXsqkKz69PApZrJzeozZE12Wbl4kWp/MM23yk7yGrPmFbJfrvR9cj3xUwnPKNOulIYzoSiaYKjBpZ5RsnTuf7f19IT2/gZr5dn7wxaIKGHLAydmiNm762PV0dHrWKx1/vXs4bzn6MVWsb+ePaNc4xvofGb/N+mU14fVdUe0Vuxqg7wVYO0Cgqq+wOUfb6+uRfdmdyrRFlV+6Q9QIDQLE17gbvHE1ofesMLQpyyqaLmEcJtoTcZZbxxMIethijHFYJBBO7O1m0rk5/o53+esjP7l/FM8tXIyoD1Lp66Qsa9Ich64IGjVAypLOiNMYQ++Npn7yn5vWy1WadulqK6jLZJy2AEkc71MymJD0/TP8Dc12yqQKX3bOcqWPbmTmpI77cVGNqj+k8wV5U38JnXeCwjLBNpzOBiB5jReDEVbdmZjj22tpkP08Bk/WgQ7YexfyV/dz9/BoVXcu03tAR4/pRoaPr8I9n1vLDaxdy77Nr2Wxse3quGeePxRHhKkndjztgDD+4cSFn/v4FGu0SOoEOQX8g+ciPnucDb5rIllO7lDCvqsoeP6LG/GVR3Oo4sEbyXdjvy/h90V8X0D8YcuaxUzhgv72bnhHy70BlgmmW/WyiDTT3AgVSPviXvyClRASG1N6XNAKZPSdF3/cKFjft4JeDrjMMfdl7Jgkjjeu7JrP+LtOtPN8Bk9EsU5+i+xsKqQsPg6E5M5B5hzIGASKEj3/7OQDOP30mpx6/GYRS+ZjUpToUMZDINk9ttjJa4+sh1CLtRcWLQYHQ55XoRTvSisQa+NhZP/pXR9mMV9NAJgYcJjjR5USgRoYyduITBkgWUiYHS0aAR0jUWSyBVGM9RIEi1H578M7DARh+3F0cs99ovnLC5kwbp/XokMv0F5ExV1w0bliNG7+yPV+4ZC7f+Osr3PnUGj73m5f43vu3yC+jmfTdxQhrM7A8tbw2K2lW5qshGipayTe0vCLAANn1YmNtKnn1lgX38siWqNtrUjPSE69MO8uYkm0gtWTrvQGMn14zZSiUWYszDal+ESI6+wu4+4U17DlzaCSJlswY3cX81avpHDWSz9/4KHtMnsWd8xbyzbsW8IUjpvDF655l5mYd3PXsGk4/enLiwOwILDN+ZJUv/2IuVV+wcm2DI/Ycxf/sPDKzd8maZSqrx4+5r9r7Uxi13djHkYL6upD3//xZLr1nOd/54IxXD6SW9V0qaxKYZzZma1bs8orGu97EjPSZcekYe02BiLFP5wVrSFUjMvfqavN5/96TuPDWBew5Y6uk/rpdgyTv2oef37iY04+YxHEHjEn3j80Nmn0crfnTJrXz8aMm8Zlfv8RHf/o8XgQ21/Q2+Oy7NmfWuPYkSmeogPOLi/tZvLJOUA+VObRJZvAkh9ntL69ayGfesRm/unYVbzju8ML+2ET/mbTBIOXAAw9k2bJlPP7cKLYd2Y2sRzavNUmlIqjrkIiamjE0rQKT0HHNTt+E2cul2C/Fet68VkQm4+dab5ottGUAV9lNW9sg6zK1BElTifUzXTcZL0RDOn3W9gac8D8ToBEq04O6jJ06lUN7lEFDqoMDhWL8GQigovxF8DwFXjwlsUwflmZqT0QUIjhQksJKYtoVp4mc31XkMZEAlIpAChEfkiZ8qfxUhIgBp0SXHYJUwCnEQzRCBcCEQFaSbpMeCN/jT5/bmofn9vCR7z1Pe1U5tWcob7wWkQ0KjHHRXvH4+jun8fb9xvCnW5fxof+Z6Eyn+tBxTV8vKlczY+Y8sueUDRbMzaZojOeZfqyPGKkZqHBRKwBqfYBmhsEp+ZxJrv52AYKyeTcDE3afuPItyyDGeRgFll2zmpWxHu8g5ZPS9LmIadTjXxodFybrBRhMasRc3vXCGr52zOZQVdYFW072+M3dz/P7Rxbyxpnbs9/Ubtpr3bxhxhYc97O/cvlnZjNtRjvL+xt84qIXOXDPkXR2VBLNSBitMyG8/7CJ0JD09gR0tnmc9sPnef22w2nvUmtcbPrcLmAgCkts9pm9npjXteQ9hBDJI0vXsXxNgzseW809z6zl8R/uwuSRba1p8spSmb3QHLteiesustdS/WzeWmAKMYuoQCjZ0piDEuqpNA1tr7B8XSO5oB8XUr3TDnVhTaPBiKEVtpjQkV7TtR9TINOCV0Mw0jsY8K0rXmFlT4PPvX0zpkxop94XUBMeH//5C8yc0qFky9FeL4KkCrttOYSK4SOa4kHC6CBmlCBQ3RcMBiFPz+tlm2ld3PzQc3z314e11Cf/KtrYJ87/t9MGg5T29nbmzJnDVfc9yraHdKcY86HtinnNMBxlpJ9l1Lyua+ZvuxiXJkSndy26GozEjFj03wQtgeMaxjVXU4sAWNlFvawkqRVyScqlIS40pXphFFVGwFv2HsWEyR0MH1JNziNp81SM9EAi6iDWBcpRvkP5oRCZZYlAKmAT+rEDnWhEeUSnOse+KBEoElH5gDIV6/ZjTYhs8xOVsgYlhjpPan8TIxpbXI5UeSTOfMqPRnpak5N0kKhHfeOLGITtufNw9tp6KJNG1PjUxS+l+9bcCNfnfbu0fMbY2mHzbnbYvDubpzn+XIDbTO+RHeMu5jhPq5IZN+SbdZhpQvI1knmU12+tzglX+iKBR16aorLz1hdNRSYu5hrjuldUp7xyY6bbkaddr7IauVbysMMTF4HnV0P71owKQFQs4TYZV93PIchAsLJvkKcX97LHzCHKTFhItpvexoErh/GLu/rYbdIoehse3Z1rmTzC45bPb8/IiRXwBSNHtfHp90/jfy98kW+fMRM/iBhHYazB0XrY1elDCEM6fIQZiVyHhB8IFaPYIPGl02ujXgviKGBAXRAOCP721FL+9I9lXP/YSgYakvGjanjA/50yXQGUCvnz2iXIyO3MFuZ8gUVG/Nt8J60AFTM/6bhnl2cAOQBp+306AElTcGyPOX02WfRsIUl44OU1HDBjVGK6FmL4msjYpO+2x9aw3w7D0u9dkxmqGmNt9uHphb2c8+f5fOrYzdhqcocaU32SWuBBT2TSPyiRtcTCghCklPzqpiUcuZcR+TIWcGK8v0jbZ77EEIIA7n2xh80mT2DmzJnF/fBvQq0exFiUzybaSErbww47jCvnToY2iahIwoEKsiEY2uGzti8HGYRNPtL42Lay5jX7Y6YxrxV9JMqhLO++vqd9U+z8zXJtkCWs/0VkM5fmp1VySWKMOP6p/+Z3yI6KIAr97Ah4ICSsWtegM4rclfIrqXoq/O+AVIcxakf2QCL6Arz+gLDmEXRXFSgIZWT25SNrvjpluZo8Z59SHnZWlAZGlxVF6dLO8alnhCDoqBBW/fh5ZRbmxaZgYfw9aoef+McozYtInOnbVNukB7I9ulZRoGj/nUewbG2dL/52bhIa0GYI88CC/THv5Y0J1zOmVC9vnOZt4nmSc1eeru+pOstyzEhefZqtE0XrhutjknmtqF/t9PbcDykOwqHXF9cao581n8fKN+UTZ+Rp5uF6/65+hPSapIUweTuB1+S+XVZpbY5Mr1FF5bdKOXXI2P7LnOuphwruuc6yCAV3P7+O6aPbGTuyGr0nQVsn7LZlO+O7h1DxAsYOXULfQCe9/V2MHFZBdgjCTrWebDGunWPfOI6v/Xyu8r+zTWTi8tW/wXpI1Rf0NMJI0BAxfJLIhxLlszIgk4hPgsTJGhioh9zwwkre9pPH+NAvnmOLqe386ezZLP7Dnjzxo1147Ee7cNhOIyPpt8iOCdd6VUTaoqJZVL080uXbY9i2ELDT2/X2rP9F5cXzRqYBiqbo/cffDSoNUGT2uulQ7xqrYSi568XV7LPFUCUYbIvqWweGAMNRWrUK3P74GvbdZmjiM6L9kXQb9bk6kYCPNsFdL67lh9cs5IcfmakASj+wBlgLcpWnHOc1BaQ0d0/O7+X2J9ZwzL6jrfFhgCDdbj1eo4ARVR/aax7X3LmKw454W37/baL/aNpgTQrAm9/8Zj70oQ+x9L27Mqa9it9Rh1BQ8z0Go/juTnJdd0n3pCOtObjz8jOfy4tyZZo/5WlaINlQTfMXe4HT+djl6Gu2NL3ZQl6G8g5NKzKpMOtpm5KYkkFINpHAUj5GG5UU8PALPXzo5BnKpyQ6uZ2KB1EY32CkGmZhdxV/9SCiLgk7/cTfQy/4FYFE4g0ESTjgWEXsxUBB1ycGGR5xyGIgDtsZtFeQFREDE+l7hJXI78XwRVGvJTLt8KTyVYm+h+3VKGyxGhxaoyJkqNLp+ngCsSZAdngM9QQ3nrs9h33+MeYtHeCHp2xBrWLtgmWBp/luzPdi3rPnih5nrjmi07u0H3YeNtlAVli/7Xql6l/Q4CJzs6Lfuk7NnjXzd6W31xd7DuetMa71Jq8O+r65xth9bIZYd5GtUbGZLVv75RoDqblt/bfNXex+MNcxO3/b9MYs05UXNF+jHCSExHn6/MZYS606pfwC8uaEWX4gkIHHrc+uZL8ZI9RjPR6y3+PFZX186a+vcNzWB+N5IdXqIL39XUza+RkYIWJ/EW0qs9/soaxZMcjpFzzD0O4Kn3nXVNq0j4kZ4COU7LfdME790fMsXDHIrz+5FV3tfuJIr/u9HrVBM6TRWGv0Sb5+6Xy+ccUrDOv2OWKvUVz0v7MYPayabpvuhKI+LzL5tMkM/23m5VqPNBVpoV1WC3Y+dnVce2AeFd3XwpFW/FCce7b1vwjXGPm+snqAVX0Ndty8Qx3WqIFHjcTMul8iOwS9AwGd3RUIUIEUojPFtGmW2tMjzUgAq1bX+cnVC7noIzPxhVAApZ9orEf+Wrq+gbGX1kPCQclvrl/CpFE1xo1SDu8pdsUEKg7fqydf7EEIyR2PrOXDn31tmHpBeblcmXw20UYCKZMmTWKPPfbgL/cu5uSDJiBGBFCHRkNSMaVAzZgMF2OQx4iZZG/K5qKTcWiLLuvrenJq+0lLA5Ec2CUSIBOgVKgCtRiYC6vezEzphGY+bCmpTfZGXzRI89rXjLSddR5QEdZvz5B4aemXvh9IqAimT2jn0msWsf/uI5ODGeth7Mguo9OSRT2kMaINr6+hFqtKEpZYaT58Jb0BvL6G0lrUfFUHT0lXRD2MTcrCdh9ZJYrSJRCNUGlhPGITL+kZIMWL/FHMMemRmHuBUrH7QpXXCKGiFmt1iKSEeqhAji9ix3oxGKYXWg+2mdbF7f+3A0d++QmOOfdJ/vC/W1Mz/GZyN1UXY6vBQN4mbecTWNdtRjOPudS/XUwm1rXQSmuTDV5cYKaI1geg5KUp60Om02umw5V30TrkqkfRHDYYg8w1SNfZZlxMQYkLZIQkUXmEkUY7ZJt52GQLLvIYNGGlsdPaQhk7v6JT6XPyzHWcdwqHpJNxtIGI63o2vSwG7wJkw0MGHrc8u4pTXz8RqiBX+Hzv6mUsXRvwpQN3YkTHWp5dOh1fBHheqEK4LgJGSiUFr0brZV3y5r1H8+b9x/Dkiz2cct7TnH3SNKaObQcduCOiI/YZzRF7jeb0Hz1Hh5aE6/96v9L90w/U1WFzz63q4cSLnmFdb8AV52zLntsOVWctRUs9kURceCSmQObZSKk+WE+OSu8rLiGMTS7hn3ndHm/mnLHBlSlgtIU29vqYQzJlmeDWoLgfbGHPbhb0RsLi1XVGdVapdQqoyHi9k/qMMUDUBEuXDzJqZDUS/GlfJWmYEhKbZzeQXHrbMq54eCVfe9dU/AEBfVF7fQk1iWiTyFUevT0NBXIiAca63jq/vG4JF16xgHog+duXtqW9mowb4epT63gBKeDBZ9YxbUIHS9dW2X///cv32b+YJIJwk0/KRqP1UaY76bjjjuMn169g3vJ+GqHkgmtf5qIbFjJ+eGQsa2/cmnkIjY993TRxkMYnNK7bphNSKJtR84wQw1wiPg00Jw8ZSQj0h9C4Vk8+1AU0RKIyD6x6NYy2lBlreo6ab8RkLnQfxn0lksUuLPEx8zCf03U0GRfdhrgsmQYoKCmMrCjwceFHZvKLv7zCA4+uUtG0OpQZlmzzCTsryDY/9u3wBgJ1PQrlq0MNi0aI31PHX1dX5mBSARUxGMQO9LLqx+ZfQXc1+q3yklWPsENpThKzr0oEWkQMUOI+jj5SJI708YGOGsxEvivaHEyFL/ZSWh5Rl4i+qIOjhVjWPGRNMGl8O9eesz0LVg7yzm8+TRDI/BnnAq62ZM31Tm2Qb193MfvmXAvJ5m/PM9dHWmn1eCEnD7v8ovGZ91taH7tdONK5rhV9dFqzbqYplmsdMj/2WlXU7mZ9Elj5mNfstatO2iwM47fLTNbVL+Za4zKJsb9T4rp535WmyOTLATyEkNmzUmyK+6tIFF2cRSa5y7TL/i1gzeAgD85fy+tmDkeu9KivaefJRYOcvtf2jB/VQAjJxO6lDB+2nPGzX1CRl4bI1EGKwlwn6iFbT+3kOx+ewcV/XcCnv/8cy3Q4V4OxbgRSKZd9L3rnUQX7kzQMotb+dslTC3vY9wsPs/tWQ7jn+zux1zbDFEDRFAmYUpTSSMr0x9lpsvi3eS0PCLvInD/GWh7XG+O7PQS0ALHZnmzm6VprXRTdz553ItKfgmf186lrrueM30vW1BnbXVPzog2lQdHWBdqsuU1wxX3LeWpeH7JNKJ/QDmWiHCIJ/CjLCKT+4M8L8D3B998zg4m1tgScVKUC1m1AjyBcW+UXVyzl+P3H8vKSAT558Qts/s57+fUNiznzbZN58Fs7s92U6PR5+zy7go8IYPLwGvMWD/C2o4+hUtko8vRN9Bqkjfbmjz76aE4//XS2OvU+poxup73qccF7p/Pm3UfmO342k1a6GC37mjl5XQyZTmYy5nbZeZuZaaKSkrgZoSnDiHEXMpFqukwfypIp9XGBixDn5p0hcxF3UdwfjpU3pYkiKdNTO7E0N7BAMmZElYHBkDe97z6evmJfhg+vKR+RUEb2rRDWPLx6qLQTcR1NBkWBFelFGhFP4IUy8WOph4ggiP1PtHO9qAgVRlifzKwjd3kJ8FDNNQCK3VaU1EKpuSPJkwZGUb3iCGA6updvvKiKgIaMzNdIfGhkyLBhFa76ynbsftqD/OXuZRy9jxX20ZSmF80NUypoXyu7icbPiQg8OxjEgjmUSmuWqbvCZS6ZB5bMMvPuN6M8ULc+lNfuovrrthcBplR6x2KQOSTQSuOan+bap99jXv8TXTfPnnJqHSjuv7w1J2c+xfU0+8elWYG0RiXPxOyfSM6T5+ObyqHZ6cws4Y6XVjB9TAeTx9WQAYSBj5SCIKjQt24IQVBhoNGGDD11GF4XydkUUTv12inQ+4uge2iVL500jQefXMtlty1TEb6MfrnkpsV0d/hIEUVPzAiaooRC8vKyAd787cc4+c0T+NKJm8cH5uKJBJyYkSBT65LVbtc4SvVJk0lpa1KaUdH6VHaMxmWTFgLY2pS89AXUVDNXsI6bz8bjzhYexHVJKrKsp86orlqkiQNZ81RUzX4JXdERACE88EIv44dXlYVL1UMAdz69ml9cvZggkLxlv9HMntjBnQ+v5pUVg5x26CQFRnSfVlBjqh9kv8e6hR28MrCaRxesY+z4Cgef/ShzdhjO5Z/fhr23HpIGvan31KQTo7T7bNlNpVLl7cefUJz+34w2mXttXNpoIGX8+PHsv//+7DnqWaaP7eDYfUbT0R7ZPNmbZ95i5GIMJNYi6Rj4Vn5Ok4AicJI3GALX6hBd1yrxiEET2owiFbKShDkoscBltCZm202fGnvjKCJ7EbfV26b5lzCe0SNDa4J0XYRS15pCnsHILGBtT8Anv/EMF35l26g8FSZYtvnqe28jMmUI4/vJAYpR4VHIYEA5xetzTfBSIYlFPcQbDFVF2qXSmBj22kDseyLzFkvdJ8Z3DVY8QNQDZNWHIIzPTkF6Sfd5uh0SEQaJGZk+WFIKhICRo2qc9pZJfOfvCxRIMckGtVDM9NobbhlQAcm8MZniQMQq/lT+dsS6Zky4Wf88vwrX5uwic2wWjfENBShl16C8tLJEujiErQ08zB8WeDbbr/NIJZfp6yFqvJlgxS5Hv9MiwGWX+2qBgyKgAm7Grsx4yKP13Og1k1g6dGyU7o7nV7PfFsMUw1hX13whqVSUx/qK3hEAdIxeHWniJVSI1w5RD6N1WiRRvaKAIkjJH29eyolvHJcu24M7n1jDdtO7+N0NS3j7vmPVdcMxPu7DQHDyT57lwB2H8cV3T7XaQLIe6GZ70UYX6g2vWT/gnv/6uuMsDLMdzufy0thlmeAiz3zMxfSbe3PcT47yzU0vVUcXGDHBSvZ2mXGZASrmeqLni4B6GFKrCAVQKpH5cT9K4xHtaStXDzK0y2dIh8+CJQNsNrGd+59ey6+uXcIPPz4TArjslqVcddcKdp7WzQm7jYV+geyLzN0rQANkQyDrHkG/zyeveIrJoyp0tgve9d2n+eq7Nuf0t0zKNsRch8oIV6Om3fjgarq6hrwmTpk3ycS9G5rPJtqIIAXgxBNP5LyzP8aD509VoeTyNvCigZpizEk0COZzLg2Jna9Ztg0QHOCkpRNfo0VCxItHtJl50fqrwYAvk4VSgxVnftZ/E6Bkwhsaj5WwbY1NI4oYXfM8AFeYWs3k+MTRYvSaiSfoaE8y7K+HkWmUysTTNrEmI6zDF1cFgigUcXSIowgTRCsNZ3Ppi3ij1loUFS5Y2WeHkfZEyORANSD2H0m1xwa1llmDIDoXJZSEFS9ZW8MoCLEQhJ5A1KN911PX45DKUcAAJUlSv4/ZZzRn/uQF1vUFdHdG4L3MKlQGhBTlk2cmYAJdzRC5pNhmuTGwjf6LnPQu5iHv2bIMaN5a0spKXmaDLCorr0wXOLG/NwNFeX1hX/Mc6515z9S8mH53pvDERXqO2/dd77Is6fFkSqyFdd+Vb5FEvFWgkicciq43AyK54V9jgU762XtfWs079hivtMc9Va55ciWzx44hDH3a23tphD5d1T5ENTQYTZGeH5Z9vtoHJH+/YxkzN+tQJ3rHJmGCZSsGGT+yxomHjOdrv5oHe6DuNVBAyYsyloKFqwa58YnVPPe/u8WS7hgfhnq/MsdYtJbF7S4AK3qs5AEVTUVAxaayGt6yGhQXQDH/m+uTq5m5QqDi67ZGrsxhjc50ek4ba8zK3jrDOyrKzKsiYNAYV6Haey+/ewVv2Xs0F1+1kMlj2vjqz16is+bx7Q/NwJNq33zr7qMVuBHAIMhBT5m5E82TwIv9rr59w3z+Z/Y4tppa4dKnF1BvSDpqjg538S7N+jC6/7MbV/LOE9+D5xUNpk30n04b9e0fffTRvLJK8o8J5yUXTWZIf5cFnzxGwfhov5KUb4mZbyDU5qE/9m8j/9h21LYbLfwAoYrkonxVPCUVqxu+LI2oHrbPTDPpsK1BcfUjDnDm+uDoK8i+D0jAkC7fFd5UXzPt3oGOjgrnfXA6AJ/+wHTiMMK+8hMhOgtFn9wuAqnAhj4jpR4iBgK8ARWW2BuMrjVCRBAdDmk6bnoi8XeJwgAjBGHkLG9qXGIAYkuJjfvaLyX1jAdBm4pAFmp/FD8KU1xRJmBhW0VFEKv5BLouUcQyNMCKQjJOGF6ju93npSX9pEhr2TSwtclkXvI+rndp+mTljI3Uc4FIxqudpz1e7Pnmuu4qxyRXve06NaO8Pd71bN41u42tApRmlNffrjkaiPz0rudd+dn+ePE7Eek5XBSO3Xx/9vtttS/0+BWkGUKbWSwyG3OQ0y9lQ3ezKM8yzGOKoj6rByH3zVvLnjOGQABBf5VVPTUGGzUG6m0Egc/Q2jpGDl1GOOArprKWrbfI9LNk4ZIBrr17JSe+aXyUSP1btGKQM3/8Au89ZDxX3L2CnaYbZyVFe2U8LkJ4fmkfE0bUmDSyLTN2RKA/Mha2xN0crbGqbAfAyNtb8uZyHJq9pHbG/F70uxnZxcmCe5A/ptZjfbJ9VXLDCjt9UHLKEJIXV/QxbUy7EpLWpbImiLQoIgrpe9/Ta9lly27aah5nfO85DtltJB9/2xTavEjzMiBhgCRMel3EIB5Q4CQCKGHD49llPey3xTAufXQRl92/nJFDfN550NjmfZS3h1mmiYtWDPL3+5bz/vefXNjF/44USrHRPptoI2tSOjo6eOc738lFF13E7m+2buZN6iLmBVKSyIxfif0MKBDimNDmIpCSnsWSCXf1XBKPdF7RNUu7IiMbbyFQvRxLqWhu8hIXJJovhi7myr5n1jFwbPC6Xqbpl87TJ6cOMorQBXiCj71lEivW1jnu9Ie575r9kyaaITOj7GMzBgN8xAcoam2JL5BBpAXRDH90Xok+y4S2KGqXjukOMVBR5TbpOxusIJLwxD54Qaj8VDxphCrW5l7Kb0Y58qtT60U9iDUroqHie6jNHqgKJo2s8Y9n17Lt1K4mFWuRHHOlVHrUmBCWb1Asjbc3aJeUXaeztSr6upbO50lETSa2DBWN96L0za4VgZNWwFCrdbHuyyiKoHD5ouSQGakwd26HgI5Q6KqXGbEQ8rViUTYbhWzpNZDxTzHraNfLvGemdUjBW9KU55GZhdYKGcKuR1/uoeoLtt6sHQLBA/PWcf3zyzhznwNohCHreocyYvgyOiavIlxbVfb+WsvbkGrueaj5F0foU5riZavrCCSf+cELzJ7Wxebj2njypV7ue3otX3r3VH54+UImj6zxwTdNSICljwpJWxdxH63oq9NWydGG6D6NTDZjTUtefzTb012mqSlTxhYBSjMqO2XMd6eBuKssnWYDTB83xrhL8SDG/NbXBuoh7cMErEWBjTaQHUIFcglgxfJBRgypQM3jmx+bidcbKiuGASUspIHSoOgD6wOQg168Hogg6iJjTTpx1ymcfvnjbD+1kydf6eWnH51FV81fP0GGY03/5c2LOeCAA5g+fXrZbvq3oU0+KRuXNnrIhA984APsvvvufPObrzDk+sPTg7ZMjcokAADkt0lEQVRZp9saBFMaqMke0DlRV7LRWAxJuelrohcs1zPRczIQqcXBmVfksBgzDEJGpka6TgJRlQkj0ApYgdRCmQvWINsf6oFUWdIwxcswNZ7RVp2/rq/9LiKsIaPMznrnVH569WJuvHsFc/YbgwhC5SxvmnyFJKEPJdAwpHVR0bIqoC9EtEnCdi8GMjFg8QXS86KwwMa78D1l7mWEH7Y1JJr5M83CTHOv0DAxC6MdVQSS0PdisIInCKKyAPAlXh2EJxBhA6/eiP1ulCkbSB+++K6pfOh7z3HYbqMYY55DYJtImBtnq1S0mRrjx3zvejwJ09xDAwyTbJ8H3W0286GBia5L0SpjA524UkYZ69MXZYQidr6taE6caR1zr4mdfUojaswxc0y6tAYZU0/9bo0xnjUVc9Q7NMdD1Nm2YMLVVjOvZhqMskxeUTrHvfjMFFtL6sgjFkxZ/dYyEylk+sR5nYcUXHL/Ql635XC8Tli8eJAf3bmEL885EF+EVP06w4auoGPiKoQv8ccPIIf7iN6osvp967C/oPwLQiCUbD+jm++cNpPegYCn5/Xx4oI+9t9+ONPHtfOlX83jU8dMZsbEzsTUp44CQVEgMC2g+v3tS5VZT9GeCm4fJ0hrVOzndR5FXVp2zBQ9q8vZECqa+/b661qP9fposgXNxlKrknGXH6HpjxLRlBFtPLOoD9njIwigqoGFRAxK/nrHco6YMxbRkIh+GZ/FQz0CKHWgX/Famp8RtaRDZCOaN1JbinjsstlQ9txuJh/7yzMcsN0w/mf3Uel3X2ZtTbXVSNqQXHyXz7nnfqBEJ22i/3Ta6MZ+2267LbvuuisXXXRRevEzpRW2GthU90E8IWioSZMyhdB5adMtS22Ya75l1CMVZjhMJp7TtIsoz8BLPo4TYGXgEdb9SCWq6iYbiRkYAcgBAQMiukZmkUtJlT3cm4SLXAu22S/a5C0w+kszQ4HLbM5ov+5z2xwkXtxkbCZQRfCRIydxypkP8+iDK/Ci81KU+VYEUPpDtTjWlV9KHF89UAsqAxLRHyIG9f8QMaA+Xn+gwhJHpmF+fyMqI0AdSBUNoEgbEvpeqv+EAZY656/GHwgQDYlfD/ACdf6J1wjxdOQwHeEr0tToyGFhxYvDE8fdHQGjMAqPHHZWEhMuD8Sg5Kg9RrPNZp38/talyXs2371I0qdMYuzfNsXjxiFFt+aaftcxMLHASjzX7JPOQ5IxFI8T42MDGnus2KFv40LJjl+Z8918Pq8vSoC0VL72WlRUr2Zl6FPU896DJsO0LzecrvXO7I9zHY2eM9Po95wy9zTyj9Pp92qa/BV9HHk5+9F1DYqZTFcfQtokUs8rIRG+bBqaOC+EsMvev5TTvLHfADyzpIcf37GALx63GWFd8tnfzed/996dMGyjvdrPqDGL6Jy2EjExJOzxldZrVRAzjNq8SoeMFYMSrzdaK+N+gc42n51mdnPUAWO49aGVPPZ8Dxd9dCYzJncqDbUJAhqovSYEAnjh5QH+9tAK3jFnrDGnjY/9W4e2Nu/r8MauPVwa38H93jHu5Y0h+3feGGqFyubjGr/QVKCY5TmixzzZuvlgbv6Oa8DRu4zjsoeX8v5fPM3pv3hBaUUisNoY6nPPgl52nD1EPdMuErMwiXq/ddR4qYCoSiVMrZAxQZaBB56k0jVApXuAB19Zw09vWcwX3jm1uPL2XpG3nkSfv9+3gr6+Pg4//PD17K1/LTVraiufTfQqaFIAPvGJT/DBD36Qj5w3LTlp28UEmNdtHwuTbEmPw68kk4d9L1W2yL/nIocEJFcVp9P6msMgYjDVYiWj0ad9qvFlObOk0PifKi/6X/ZMgCgymco3umFIbjNmJmbkILM9Zl3qCkwJCZ98yyRWrKlz+hcf54af7kZFH8AY2caKCKCk6qTz04vlQFSOJ2PVdBwaMzIRS0zBItOwAcUlh20VtcmHyjBL5rzrgbFdVNYNQnctCVMcRRuTnsBrqIhesRZHCAQyBibSVxHAlPN+ED/rDYSxhids9/FCEL0N6FHt3G5KF3OX9CfvM0/yZPaNxG3mYgPcEDWecqLS2X5MdsAAO61m+kzNo4gZKYwoYFbldXLT1Ksefa/g3vB1f9ik2w/pMefqrzwGJA+cuKgMgxWntRpSdDihi5ppGDT4y8vS7oNQqDmtlx49rg2gkvLXsoBLcj/LEMXv2PSRAremy6yzna5Z95h94gIdpubEWhMzQMws3ya73gUaljjcvIui577wtxc5YffxbLtdF3/8+3IOmDCbcUN8hk98mqC/qhi80argsL+KVw9iIZT0RKxBcVYnSDckCCSfv/hFdps1hCMPHZ30hTmH9JxD9cszC/o49ieP844DxrL1Zp2GORnJ8+Z/m0zhiQ6iUjQHTRPQIkGbDVTsOZE3R/T7Wx/wsqGAxyYJKUGovpyzJ9um5/paLpixtSfGbxkKZo/vYqfJQ5gyop2Fa/v58z+W8fp9RnDXg2v5w+3LePtRkxG+B/UgyWa1TMCnFogORgKqAERXyMPP9/Ljmxaz25RhvGPnSXhtDUQlRIaSSx9axqm/fYazj9uMbSdb5stmMzRAMceBq/+NaxdctYyPfvQMarWauz/+zSmUbBR/khYsfv+jaaNrUgAOO+wwhg0bxh8a73dLXfMAiiU5kTbosBzfs1qT6HqQaDdc2pEiZ/k8LUzm7CrTEd/4KM0EscYl1q5ETmey7iUO9vpQyDrZiRsa/WJeMykPoFgLZcZBT78DHVBAS0+1FNY4yDKlXdF1sKVtg8SHyYkQPnf0FFauqvPF7z8HEAMToSWDgyhpTw/QC/RF/2V0fTAqZ4BYs5LSvgyEeL0BXk8Dr6+B1x/g99bxIqBino8idAQwqT5aYxJWfRqdVYLosEcRSvyBBn5fA6+uzNREQ53K69VD/MEgzgMAj8T/RZ/L4nsqZDEQtvkqOllFINs9dVhbAO1tHn39oXuDLWMCaEq37LT6ui9jyVjKH0m/P01F0vBIui6tuZnRtMTSd5FoWcwDB00pmSQ55NSUoIG7P/R1FxX1k0sC61x3HJ/Uffca4XRs1enLkFW3TAQ+W4xWJGKzA4Lo+Wz2u7WmxpoWB8WMvq1J0w75tjQ6V1jjaINJRV1l70oxA5gG2eZ/517hElQ1OwiyBTLX0nvnruHte40mXC259pGVvHmrkdFc8RB+SH9PN/XHOpBVgb/LIHRJ5BBlupr4o6Q7RWmZZcKtBBD0h3ziB89z+D6jOXKfCKDUpZKcD6o09KLeW8TgPzJ3HXuf9wBv2GUE3zlpenqcpd5xdC0vqEKdpAxTO5raJ6K87XXAtb+Z10PrOtb1PCrLwdjj0aa8OrrmnKte1rjK5SOsvbplc0NXGwTMGNOJF/p865iZDB9a4bxLX2ZtIPnhWbM5aGY33tpGIkPR2rkqKnBDCAwmAD8Ukq/+/mWuemAV5xy6Jdc90s+K5TWC/gpLlge87aLHOfV3z3D+idM54ygj5HBmbTK+m+bi5sey0Lj7mTU8PLePk09+7TnMb6JXh14VTYrneZxxxhmcf/75vONTw5NDfTJMtnvTcR68WKQ9Ma+VtTk2/Uqsie/UkjjyyQ0BrH1YYqlj9FvK+L+QIfjRoZB6svrSveia0qnMou6QeuJot9lew8cmlt5oDUuAksYK0vbtKrVRD93pdsEwtOrzq09sxX6feIjPvXMzOhAqfT9qYfRQm92AltwI8CSiQ3McRt1rEmqRBF9rnDyQQnmUiLpE1mQc6jhs8yGUKX8VEYSxOZY2qdAHPmrQIiKTL202FrZVkrbHNv7qOYGSQmkwFFYqeIOBEu5FeerwyDQikNWjGPsFKweZPa5TbfL6cCwNTmT03WaWXVQkhXeMy5T9fjMmIG+jMX7HWpjAYrJN59/4GmmpqmagzDxdUrYiBiSPaShioEPHNVce0BrggOK6uuZts3TOsow6eTKzJmbS2pJZ/Q5y84+y80SqXZnACmZwjVZpfcRiLvO5DaH4rAmSvsvRgqW19NJxDaSULFtXZ9yYCosXBExpG8XavuEM6VhDZfgAUgo6WUV1bH+i3Rqlgn94qwPF/PsyuxsLkSiwAxgcCPj4j57nfW+cwM7TuxWzaTJ6g9FzRrj71WGd4y56gtPfNInPvX2ztAbCBhWQP6/M84/MOe16n/bc1tfy3pur7FYEFkUWBq56lCm/qDz7OSN9BhCb+65t8SHS48nFq5QyFROS0d0VlvfUae+COZOGM2ePEcoCYVU9XpNlTSD6pRpvVWLBIlooCQz2SU7//fO8Y7fx7DZuDFc93MPUEW0MG9Jg7uoe/ufCB9lmSiePfnsXRo+oujWprjW4aH02rl1wxVI+8IEPMHz48Obt/jelZni4lXw20asEUgBOOOEEzjrrLK7o/gqHrf1GcsO1+ecBlHgQJ5txXlQuE6A0PfWV1oFIzOQ1y1fn4UVgRERu5R5psCJRjKwfmYD5SgtB1QAq9sbZZHMuMm3Lu24HBRCa+YnMRvKjDVnMqK5fZM6z02adjB1W5Ypbl/O2/UarIjTI0AtjdDCU1jJ5AwGiPYhBCyLqE6L+0vX0I7ikTY4aQRI20xtQ4YHbqwTRIZLaJCuueV1pUrRZmND+KJGvS9CJ8VzSPump0+2lceAkEJuGQaS5aSjQIwaCJHRypJlYtbrB8OmVRIqpQYm54dubfxHj7dokbIo28cwYziMzT2lcM8nY9M08k/4SiRmBySCYh4PaDtq2hiiPsWgGUPKYnbKrfpk+KmK47Po60hYeOOvMt6BOeWPAfiaOEGRXhvR1vfbqJVab/sXvYwM0E7p/7LY2Ay8uTaC+5dozSlJLkm0JxNE9EuHQ3BX99DdCxo+o8eLcOsNrwxk35hVqI3pguNL+VkU/jJAgogNstV/AWlS4WHM9MAsMUNoWGXLcV56ks81j6ug25Rdi+pGEpM2G60qQ84ELn2X6uHY+89Yp6b4LrP/QHKS7zH7z1gdNtvDBfs/6ubIAIW/8lKUcoUuKYTZNWXNAVuE6Ko0x4qIWzEJNM7CU2aFpAiYFo7urPL6w1xCMRv6egYwjcGprhDiogtE+ISSyIVg3EDC03WfyiDY++fen6K7U+NwhW7B0cC1v/tEDvHHHEXzzpOl4bYmQyl3xdP65c9Po0yde7uWqh1fyzB8/Vqpv/l1pU3SvjUuvGkhpb2/nM5/5DJ///Od50xlD8UTOLuRC2DZAcQAR26QpA1AMMy13ufmAJHtDJMU18WcxN8w42peQUYhdvbmJaMEJ1WLiqwYrvwcUUGmRcoFZqaxMaU8EVLRmxQIr4JCs6t8G8ymk4NNHT+FzF73AITsOZ1i7nyz0sbmAiN6vCjLQqPt49UA5G/phBPRUKN/4FGRTghcxwcIDghDqEj+UeG0+QSARdT8+WFKEJINBqMOrQt/Dj0zERBDiRY74lRX99E0bFoEXYod86QnFZFSUU76w2q8jmYm6ChhAxUP6MgFUErprPivW1fOld3lUJK0yrzXZ/ISQaUl5WXKBI7seTptjYVyXSboguZ16xtQkldnHiySoZdvYqgYlr+9dDFmzOpSpo2utaRpJiCx4Mee0izk0v5vvxXMAFUgLXpx1SEuMk7o70phjw9UnLsYuTyNYQnve9J5D2i18d9pv3jift+00hmFDKvzixiW8bcs9qXQuwRvdQHZF0mtkHBKWqgIoYmlIrD1dI6BNKsCSqof6c90DKzl639HM2X44Z170Al95+1QmDo84Ta1JgZQ/2revf4V/PL+Oe8/ZEc+c85Jkj3W+i/xuSpBr9DMvbLVN+p7tY1Wk2cijojnvesV589V81jWWXNdcfk/6egFtcCjiGPiQbaOQjOmusXTt6vT+6qMAbvTuhTlOdLq6SPkcjhxSYaAh+fqV8/nyG7dk+BDB04tWc+RPH2D/2UMVQKmKbP+Z5AImJTRjX7p0Ie95z3uYMmVKiQ7ZRP8t9KqBFID3v//9nHfeeVzW8TmO6v9e8WKBAyTk2RVL+7cBHGxwUrA4OEFJE82DLscO45rKT4MaLaXQYCWjWfEVKpAgCNH+qgIijUQTDrZIc2KDuAISpoRV+xxoczBzUYxCGWed7HXFZbLxefC+A8Zz6Z3LOeVbz/KbM7dMggXo9pt18CWy7tHoq+H5IcILEZUQLwwUAAmU1imWzus8NGAJdbQwSdgf4A8GeG2+OvSxmi5MBJKwvYLwQryBBv465WEqo3NXxECIN6hWc2+gobQh2mG+onyJPG0yJoQ638UTeIMq0Lyoq0hkeOqda9MKWffYZlIXTy3ozS7eeZurzUiY5GLIS0jpYqBil5VKZOXvKtsuJiQdOtcVhAESiax+d3YdTOdsQb70NI9JzauvizLtbtJ/hdoO0oxaTv2c5qyZvFxzW9fRumYuhdFzwpPOtTOlKW1GVv+ngIqXXE8x9BviqwMJ0LbXPpM5zNsz8gCXi1JpmwE+V32i/wL+8tASfnfq1vz9vuVMHTKeGaOqqs/bIsZQ+2ENKBAiAolYFSLXeoghYbQ2CERFZs2qIvrLHcv4/slb4PuCzxw5hR9euRDfE3z+yM3whFBRI0Gt3R5cePsrnP2HuVzz2W0ZPbSa1NleU+yxmDO+7b1SBdCIOkCbNru0JXnzxTQBLUtlBDpFwpzQka6Z9s0FjPVHAtrP0yQzYuKGgpMoj2ZmX1NGtjN3RV9ywTOqHkZalbpUfqBVlGlgQ/sXilhLIwPB+UdsSdBfxas1uPalRbzn4qd4/0ET+NIJmymAAsXgTt8vA2QiemjuOq58eBXP/umzhe18LVDIxjmIMSwlpfvPp1cVpLS3t3PWWWdx9tlnc8SZo/FzOr3Upg2FG2AqGku0eKTyLqIiW2RXclmQtwlUos1NBmpzd2pWAmNF92TMGwokRAcUOiPY6D4yAZvLBC6nfakqu3xUENl7SQdEuCQBkXHUJ73J+hJfCH5x6ix2+9RD/OLaxZx44DiV2Edpi+pSLaBR44QEEQrChk8Y1PCrdWTDU1FFwjCKhCYTXxMh6RkI+OtDy/ndPUt4emEfK3sarO5rMH1cO587cSrHHDIef4iK+KVOpxf4vQ383gZhu4/0PfwVdfChPr6CbPMJJnXiDTQU8OgP4vZJXyCCBJyoflCnz8uKp9oSRnv22oDk0ErFhMi6T6MhqXpedkE3QYH5vYSaPP0yc961xeTHkbtkdoxtEBmMeuEhgxrAmZJVF6Njb4Yu0OZaN5qBiX8mmXPXplSd8wQkLf7GLcRR1w2g4iI9/431xQYqYGtTs+U4KY+JNYGOXWcNfIqYaINhTNWd/LXRpjK+i67nJSErehpMGFvl95cv5aydd2HEmEUqaAsoh3Yd2S4A2jxlgrPER3SF8XUxNEzyN6XdHtz/zDp2mNqt9s8AthjTwZeP3pzbn1zNJ371Iue/fToiApB1GfDJP7zA7+5eyhWf3oY9Zw1N8jUBiq0RKBqjDs2FVAdkqX3KjABpmnRCWoOiyb6H455RVtP65FGeCaG9traouckAY8P0L7nuOEW+GdlguEhLadGMMR28tKKfRiWk0i6QtWieNqI9qC6hD3WWypBA+YOa9ZZK+BYOVpAS+hngs5c/xSX3LuHb757BCQeNzUZ0c81Juz9dYEa3zaAvXraIk08+mUmTJvFaJ0k5PF0mn030KoMUgPe85z18/etf57fe+zgh/Gl83Q6HmjLvssg28zI3nlILgcN5zZRMNDXdysmrzDPCuC4jTYrwor3fACoyFHjVIOFX9QZQ4g0VxvQ3+kinc6fX15M87VbIRgSwdCW9hMnUgCVhRlXasR01zjt+Gp/57UucsMdYKlUD2PgSqmFsoiBCgVcJkKEkbFQI6tU4EpFXDRB+yLPLe7jnpVUEoeSel9bwh/uWstmoNt6x5zhOnzOF4V0VhnX43Pr8Ks7+8UucfP4zTBrdxoeOmsSJJ0yls9NHCqi8MABTa4RtPo1xbco/pREi6iGyqg6QVCGFA8Oky1PvJUgvH34QKod9UGe2NEK1KayNXuSAQA74iErI80v6mTWhPT2OXEEI4oFD0wU+cz9vc3b4SqTAii3BNcFSK+TY9GXEyKTBirEJm5J5V3vyNrtmtLFW+lbLtZ2MC5lsi+mxKM+htjRjncpXJEBF/Syuj9bIGEAFmoCVVF4lrhVJ2x3pMnuHSSUAyvoc4JjZa1DrV38Q0Aglw0SFNs8jCKvUJvYwuECFZQ1HVbJa47ok6KtSGdqfmGppUzJbGwdccvMSvvT2qUlEragd+84cjhd6fPnSeZx9xFSeXtjH8Rc9CT7c8eUdmT6uPT1vAhJwUsR45/VpJnCDWvdTWhVJek67Qmjr6zZoNee5TWXGURHZwh6XRqmMJsglEGk19LgmlzmkC6wXmVNGZd/+3CpmjunAHw5yiJ9ExNQR4iTQKxAjogiYaz3CAR+vLUB0hYhGSNhbwWtr8OD8tbzn148zrKPCP87biekT2tNtbqadykur62xdu/v5Ndz45Bp+csWn3O3cRP/V9KqDlGq1yjnnnMPHP/5xjvzc5nS1+VnNSZDeRMACJsa9Iv8TIOODEptXRZtMrAWxz5LIWwxSeSffi5yQZWhqR8I4vV2GOpdAARWBClds+qnIqN1Fh5Sp8tL95ARxMrE9zbRdP2poTWQQMTIODYtOlzIFUw1KJGxasyLhbbuM5kM/eY7Hnullx1ldyeZQjfokSN6r1jQpX5MQGXqEdcHK3gY/v28+X7v+eWaO6WREV4WZYzu59rQd2HmzIQgRqcQjx8Jpozs4frdxvLS8j0df6eHcK+bzxZ+9xC++OJs37TuaYKqKwe71NaDiESLxQvB6A3XKfV2dzKst2PBE4pxvRPvS/e+B0qTUo4Mre4H+qK8kiErIqnUBdzy3mqN3H2M5yYq0n4ZJtiTZZuIdjL3W3K0X2ZtK6v2uX5ZmvhlTQW0CphmdIqBSlrk1yQRaZdI3A4B51MzxOwo+IW3fgFTZ1k+XACZmmHPKcUj+syZgIkd7SvqMHQGxaZhOYjOdOvhBWWf4vLQ26Z3JYqpzz0LJNQ3OASgGg5dJa5OhHbcLfmFJP1VfMKyjgqx71CqDNJZ0UJvQixzuqzUkOiMKXyAGQmSboDJyIL/txviQDUkQSrqi0OYx0IjS7T1jKNc8spIXlvRx7I+eYL8th/GNE6PzyfQ66xJ0QHb/cmokcwC09m8y1/zYFNDoc/t8HbMcW8viAgl2/YrGji3ksdfTsnMmT6CQqa81V3T5DqARKd3Lle+4L0OyZ/VEfXvLc8v51GXP89W3TEP4gtAXyE4Pb12IXCISQeKAj9emTJvF0ABvtaqz7FcBbPobDc69YS7fvPZl/vfwyXzqrVOUUNEkF0Cx19fM7/z2SSn5xB9e5swzz2TcuHHF/fAaoaIQ763ms4n+CSAF4JhjjuFb3/oW51+9gM8fvpm6aA5oy/ygiOlO3Y/NrqK0KZOvFjYfnV4W+JnEdYtWqoiBLsoTQAZ+pAYPE2ATgo4jICEdstj2UyHaBDxjE9CbchHlAahmjKaWkIo0aInDJ6OZGgOsOMIYS8NfxPc9dtq8mzueXcOOm3crCVxDxM+oswQkwmsgfI+w4eFX1WIaBj63v7icI35xL9tN6OZvJ+3C3jOGpQFUFC1NShGbHQhPUhU+M0d3MXNMF0fuMIaDzn+Yk770JLd9dydmjm9X5nQNyaI1dQ46/SH+fs52zBjTjleXURhPL9aiiEAqvkaftmww1AKQkd+LCKKQw9EZJbLPU+/KD/ifHzzMNpO6OGTrEfGhWe5gBNH/EEyOMG4f5n2c4CYOdODamIuYgCLSVZHG/9yNF7cmxjAbyoa3luk66zHkqluutDfnejNqxqgUMdz6ngsYalBi1iulWckR0Jj1SuQDBQwzzrZmDiU0AYfDpNMEQ/G8dq01pvM9uPspT+Ia4pbcG8+KhkzNg0KTYBdAcZngaIqEN/Ea7AhdHyeNmMvIwjUBfNFhvRfetoCjdxxHbYQg7Gwwf/U4uoaspjKqD+mB1x+q9UCvG2tADCXbp3oOm3NfwuMv97L56Hbj8MWkH2Rd0GhIVvTUOf/ql6mEPhe8a1ranDQl3c7ZH43y0teKx2bKbFCDFSN97sGveU70uv1FB5i66umiHGBWaBJaoPGM115bsJrJ3309F6A0oUJwE9FfHlzGETuO4r3HKOGXt6qhgjTUJaIKDI/2yUZU+Wjf0VqVnp6AS+5aytcun8eYITVu/cr27Di9O11IGe2JK709b600f7x3GfNWwZlnnlncyE30X0v/FJAihOCb3/wmc+bM4X37jWPSsDaDqRBuJ84cG+U853hpbd4ulX7hAWYoAFK0/glPi/NEAj4M1CxsLYmx8cvQU0CFqOna5EKXDQlYMXfrKEwxUirGU5DalJMCRRrQQWbzLeOrE5v/RO9EmIwMkDrvBRI/m/he1IYgYogELFk9yMp1De57aS2y34tBqdQHxEniwy+FJ5HVQUTgEQxWkaHHC8v62W3KMK47ZTfQJmmmVsqoT6pORj2EEFx56vZ85q8vcODHHuKaL2/LtlO6oAFf//lcnnuln99cs5iz3jkVsTZEDou0KZGfkOoLVJQwK7qZ8lWRUA8RA9E9fUBaqOx8lw4OcM+La1n+zX2oCT8dAtQz3m08GEhvyK550gyoxoyPzF4vu2maDDKO783IBioG85A6h0f7JcSmI5SXuhcBlDxwkEpX0CAThLjuQb45RnxP5DNAReAkuu8yUU3yL5lPVBfXadfZdI587GcCARWZDSBSQvOUa1qk37fxO6vxtjJzRX/M6wtIr4clI0HqdTNtdixYvqbOr+5ZxI0f3Rl6BFu0DefxJYvYblakJRECWQXpeeo8lJUCOqT63yad7y4lcPDh21cv4JvHT4/WApHMnahfHl6wjqcW9vLw/B6u++y2VH1tS+xui+oz679dBwucFPk3AdlokIFOGp0pZYJQ7b+iyda02FH/NJU1JTTbY+dRtLlba02ub44kBig2IE6dd2LtuxromlQEPsy0GaASC4AEkpD7XlrLuw8aiwgFrCXaY6Nn2iQ0oLcnwPcEbZ5PX71B32DIH+5axl3PruWvDy5j2th2znvnNN661+h0JDi7/WYdnBW3fmuewLH+9Q1KPnPpAr527rfp6rJOrX8Nky2T2pB8NtE/CaQA7Lnnnhx++OF87tLb+Nm7Z6QZrAKH0cxBRzkbSp75lUujYptt2ffTGRtAwtCcaM2LXZZZj1Q5+nkLqMT3PVVWIi2PJPOEidbcUb3Cs1EiNXNMNkBx9Zf+EpkMSZsx0u12aljM1hL5sMDzCwZ47OUeLnn/1tEmprQnMQMiBbc9s5ovXfscL68a4KUVfcwY3cGUYZ3MW9nHknWDfHS/qXEbYgCCybgbm4JlqqZNwNo9jwuOmsXI7iqHfPYxHvu/nfnNbUv5xQ2L2XPmEFasqsePiAGp8vajfPUiG8q0lUhkxsMgUbhH1AnS7SBXejR6lVnZg/PWMW10O0PaKtl3ZgC6uE81hcYGqNOZr8O2kzdi6pv5m/es7sqSixkOjL7O2/xtpqvZRhYSa3xiZsYMaa373Hc8a4OfMhtoK+QCIJa5ZtNnmzFRgSMyUJ55Ejlz3Zl39hlTIJLcS75nAJBm9mOEnoyreKxqEOi7mbpCrXQugxxdcjFKOQAl92Bfsy0515K6ZaqflKHT6L6MLl14+yvsPGUou+ytDjp5ZWWd121dwx8+AP0gOkKkDn5SjYCJPrQX0pG8HPTLmxYzd2k/3e1+CqDEfSQkP7jxFV5a1s9dX9iBGRM6skDPSN+Umlgw6OsJ6X6Nfmmwom95MlnjIw1JVmMs3Kauwkpng5cyICRvfUilyY5Jp0khqLblAOLYXNklRCV/fBVaNuj+j4NZ2Ise3PrsKu6bt5ar9tqG8OUoipuQLOnr508PLuHXdy7h5RUDLFtXp+IJtp3YzaML1gGw7eQuDtpqOLd8Zge2n96JqETt0UIsl1bUVd+UME2nE9k0FgD8zrUvM2r8FN71rncVdMJrkGST99pCPpvonwhSAM4991xmz57N+55ezb4zh6dv2pM/da/k5qyTFzHucZrEbCsmSzMC1jpYpC63izO0K/F3Xa4GKibTY5iAKbBCHPlLEKbSFjrNxu1LNtSMBqWo7mYbIWFwTS2RyfDotvlhWupppN9tyjB22WwI+57zEB87aAofO3AK7RVVjzCAH90xn8/8/Tk+uM9kPjlnFDNGd/LUkh7mrxhg+qgOhtSq7DJ5aKpf4/cnZSR9l3F7gVxTNRB87uDpXHr/Mn5w5UJ+cONCfnPy1nz5b3MZ7Jf87/de4Lz3TlNReQQqLKgpxorMNoSWsPsJow2oE+YbCTOi+sXjhidXcvBWI5OoP3EHR19DEalqpFnVhFnQ7XaZGRgbdspXIWN6qBmI9Or349sX8MC8tXzr2C1or3r5QgN703TVw5U+j7xk7EtMiXzUn1qr4mLm7E3RWd8mv21ymmsZz5mmKmZ+tolaqp6OzdqYj5m0NpPdRHDictp1apHDLMA183CFLs6jOK9AQBS21MVs566RRYAyw+yYz9n7grVfuPYQA1xltMqZelnj2/WOQtXmBasG+caNc7nsAztACOuWB7y8wqNW6YZ69FxdzWUxIKFfJuNE85q2xtBsN/D1y+fz7KJ+Dvn6o2wzuZMvHLk5nTWPKh7zlvbz5b/N5frHV3Hn53dk8ui2tIY3F3TlXDfJBVCscRmPExGlcWnpzP7UfhFm6HMdSMMGVlqraqTLzE3Tyd7k3cuAEZMssXcmemacztD8Q6Y/TIBSlkFt5Qy3+BlrHo8bqoRgp1/8Il8/Ygv+74a5XPrQUuatGGDfmUP5wAET2GpcJ5OHtdM7GHLf3LXsNL2LNX0BO0/toq3DI3a8rGMIZ6L/eszm1dX2J3Ktd9F/E/zNW97POVe/wtXX3oDnNXPo20T/zfRPBSmbbbYZZ511Fqf9+tfcMy1UqmmD8g5rTBK4Nw2T8ZYmM+54JuNjEkRi2hypn+s8FBfZWhQ7D00poGI508fmTjJxqCcUoJ3CsTaDspLdFinZbIzTbo1NXxg24vE+EX0RQv9INjOBz60f3Y1bn1/JZy5/jovvXMC7d59Ie9XjuSV9XP3UMs5+4ww+st9U/GgT23xkp9PXKO5j3XcaVJpn0GgybM6TegFS8vXDZ3LaH59i6do6O0wYwvOL+7n/RSVhOny3key75TCoRQ20+1hH5IkYaRGCrIoEYNRRmpVY86HClM4Ya0VJwRjzeeZzEDOvdmQ2l9Yk78zUFEmRbOwCrn1iBZc/sox5K/o598gZbDupO6t1kcb/PLBSWtIf5ZWS3EYhnl0HhZqRj+J7lGS4mswR+76r//L6VD9b5LfiIlMD4JBSO4ODkAgnTF8K4VmgpEAA4XK2tzUsudoVF+AVUs0rT5Z7F80YnlQB0f8w2z+qniIF6lLXILWG6frnAhPXOLY1ltGarL7D2Vc+zxu2GsX+O3RDX8jZv3mFk3fdi/HDF8bFioZUWlV9TkqqDJLxYjPoEX300Emc+rPnmTGug6cW9DH1Y/fQOxiy8+bdPP5yL0fsPIqbPrO9AihRGzGZfpdfQDM/jWYAxQAkGaCiybwPWVOw1CsViTa6kCwgbAKXMmaceePTNu+yTWxVJVXbbasOu4xM3o6x5UrjIJcJecpPLKKtxndx88d34rDvP8Lv7lvCIbNH8KN3zmLXaUMY3pll77ac0qGy8nPmdsr8liwIydTfkYd53dZORdmf8af5HH3s8ey77745Gb92aZPj/MalfypIATj99NP55S9/yfduWsDpB08GmkttbMr4ojQBKEUnyTu/p8pKM8hF9/MOeMyEJc7JR4iECZGgNkWBkr7HJ9Nb9SzTNsAOTpBHdp9nzYmsNmvGuRH56ETS5qxGQ7D/9FHcetpIfvvAQm58ZgX1QDIYhFx18q5sObYr6oco4zDdr04ypcjSNAOLyNbs6E1OCubMGMNDnxzBffNXs2hFg1W9DbYa38nwzgp/vH0Ze00dhl/FfY6HjP5rR8pQh5UWCSNQB1n3kA0PKQUvLe9n982HpJmAqC7m/3TUJTLaFFOT4tKq5EZ9KqDvH7slVz2+nOufWsm+5z/AJw+ZyqcPnRrVwZCs2/9bASXNroWqoXGQCDP6V2DUQRfZzBQoda8kmC8CGS4zGp03uJlDO2nuXDW+mmYjVv7x+hZ48diXFpPgYsRjRaBdfpGPCqQZzdRz1m8TtNqANpWO9NhxaSzM8vJ8IwzQnq6wSDHSqT4pGqt597TvnCWwemDeWv700CIeOmtXRFXyyDN9jKsNZ9boGt0TFkfnOVl5xe+AbL+4+go4ec4EVvQ0uOj6hbzw7d2474V1DGuvcPszq9l9xhC2ndSdrDcuEy+T8Tb+p8yZzPeRAisWg5665gAqWM8KUprbjN+KVVdTG50LWDLtFG5TsTLPurQnQCyEcYw55/c4k5JjLVWn5jyHk6zbe00fxlNf2IOewYBpY9qNsSbTexcO3sMeP56xVuq9L2/pNMeYK0/cfXvlo8u59bm1PH3VecXtfI3SJp+UjUv/dJBSq9X4wQ9+wGGHHcbbdh7N5OEK2RfZE5e2xS4gZyQufc+h/TC/N3O4byUvACENR3rNkNqLh4xOrZcqPLFiRrxkwTeZAShm0qx8wQU+igFYfM0R3jaR7JOYiMVSrrSk1hOC43eexPE7W4c25YGSIoDiqIOpwcm0xbDlFkJS8SrstdkoEJKl5xzAkPYKH/rDE1x440J+edsSLnjXNN4zZ3y6XNPBUwOVqmqnCFEMdaD6IKz7BINVVvU1uP3Flfzq3ds4zXiy5inJmTWx5qT0PHCfg1N0YvGYrjauPXVn/udHD3H8ruP59k3z+ehBU+is+bmgx8mctDAWM8yx3tz1+Qspp3qRPiyuDOVtoDa5nL5dPiVSkHLq18/qcaU398wzVl6OvnGud5bkX2DOj6RtcWALM19b0AAZxlAI0v0j0loa81r80xngBAM4GsDDBUYsBjDXnCpV8eirpWV3mQU7NSm24AoyGm99rSlJQSgln7niGT58wGSmT2pDDgjufqqHPSduQWfHOryOADngReuCAd4kSsNqRvFqNjxDGBwM2X6zLoQn2G3GEAhh1gS9Z7rraD5vf3c7hFt7b5N+ThWXsybZ52w5new1GWafqliRO89F6AjWUJYca1keQHH2A2TAisrDLMMdSEffc5bvIodgpXANH1JjDKT7OSUIAEwBowXsMgFMzGhsmnJAXuaaYWlhCyZ6BwI+9qd5nHPu+YwZMya3PZtoE2n6p4MUgAMOOIC3vvWtfOSP1/CXk7ZE4KUXAk1FC4KZ1mGX7SR7U8sBIXm/my2Oth+KlMmsFiJM52M8Jww1bqYPQhGfoyIjX4jUYWz2Rm7l4ZKsylBkN+0ymov4+USSm2XyFJMcBl60UOpCZFzdzGnnmQLcQCpNBWAEcs+CQZevmeGoLl2eR9iQfP+t2/Ktt8zmhmeWc9IljyECwYkHGEDFNwBiCDSEAiYNlGPsADAIst8jHKwQBj59dRXtZ0x3VYVbtkGEObalMk2L37UZSaak+tepYQlE/qYnBXttPpxfv2tbjv/Fo/QOhpx7zVzes9cENh/VkTAUpl+SCwTZONswS8t9l1K4N9YMUMENFFyUZ/pRxglel5FTVydQ0U7eXk4bLXtsMN6nATgyTrfmnMzROpTWPFq+ZXZADGGbkqI1eZEQxQ45nEeu92wypa513iJncAgH45wBd1Zf2P53sdbXeCb+apYvZDaPqB+uf2Y5jy5cwx9Pno0MBA+90MPdz63lyDmddI5ZipSCcNDHHwyiCF5CBdTQB+ppqbUw/hecE1KreDyzsI91/YFyoLc1dXlzoQig2Ey50T+lAUoT4VFWCCES7Yo5piA9PuJrdr66WiL1P5XO0RdF55kBWe2eJNdv0GV54RxzGAClzL7aZF0XogCgWFrD+LLmEVJzLyX1UBS7dorEPwiScWr5EGXWUJ2W5LnMOIO4b790xXzGTZnOSSedVNDi1zZtMvfauPQv81i64IILuH+R5E8j3p++oTeFwoXFAS4c9pquNPqaDVBcwCSdzos+2efsQenOK3k+BRC8MFVv2w5cMTdqA5ahjorlxSF7zY9+Jik36iv9aUKZyWW+C5nOX4ZRW0Ivvq+vhUHyX3/MfGTopZ5TZkxmPsnBm9JIn/kYZcR1tz72M/paGHiEDZ+w4SOj77LhqzNaZIVDthjPj4/ZjjMueYGlyxrIXk8detXrIfs8ZL/+L5A9HvQIWCWQK3zCVVWCnhph4OH5AR011Wdr+8NMW3PNdGT6XWsmLPUJlPlX/N11z7ie7Zv05w1bjeHn79gWgK9fO5ctv3g35183Lz6QktAaC8YYsfOSNvOTGWzWmNJMpyltN5l706xJ/3Z9WqEyTIOup85fCrXxG5HpALe5TUO/F2Fs/lHbpH4/6kFTeyIDPeeNjx4L5npjzO3MOuSYC+Ycda4L1jvJ85kx08fvLMXMWR/jWq6po66LbqtjHGUAijn2dJ8FybokA2OeW/2cefepuegeF2Eo+fzVz/C/B09jeGeVZ+YNcPGtS/jGG3ele0gv3vA69WUd+CPqyp9NR/sLpPJRq0cZ+cZ/3Ud6bFnj/R17j+GFJf2s7XXYNGnzWvsTV5h4DqXmkUSNX+Pd5WoOWiXXmNPv01xH7L1M39NzK7Q+geOj0+s+1L6CxnqQYphDK00AuQDFGLv2fpuapw4SFp+R2ZuMvpLGHukSMuIpM2/hh+WEBFbeMohMjhsesu45+jHdV8meIeI1jAbIulDfA6sdpvYkEOn+jse26tt7X1zDD29fwk9/+Rt837aH/M+hUG68zyb6F2lSAEaOHMkPf/hDTjrpJA5+4glG/OHt8b2mvijkbyRJgiwYUHl7scN6HrgwgYkQac5HAQ39qzlXlAVBHlLKjDalWR6x06ZhPmVKOtXN4hyltDf9qG6ZhFa/hJ7qP11uZC6l04RR8AGdxj4vBiCUQgFJlxZF18PUuhh1KDw00yhLGJHaMs9E5Wu/ldSZN2htklE+8PoZE9h9ynzO+/vLfP3wWfG9lNYr6lPhScKG0p5oRlBETMOwtiojOqo8vrCHfabVnNqtlMQNEh+iokhDRP2opeQOk46UVFhf1JHQHCPwsNljOWLbsfz1sSUAnHfdXE7dfzPaKp6KVBZKhEtj0Gw+gltzoSsmIKVVkSitla1RgcS0yi7TlASam6Xhi5Spg30tx74/Y+ZoRiCylwHbHjsun4QR0kDF1J5orZmLiXZQRhhSgrHUUm3dEj0+4jEH0Rw2M9ZaXJleLOx3lqcNNu7p/NR/kj7IpDPmt8m8yTSjaJ+RFWuJrXVXRMVprbGtFTe1inqdMO+v7Q/Y+YLbqVXglP0nIgPBdY+u4X07zqJ7RC+Da7uQPT7VEX1QkwqA1GXiMxGSgBJIR1HySUuwI3OndQMNjv3eUxy/71gmDG1TYMckFzCO/ivQZtwzmXHrmh2EoMw4ah3EJCasqavG+84w/QVWCyktQcr3MPqvNX+mpsQk81oMoEQmrQYnufPRoSkpNFc2gqHEwjvjeRltDjIQeJUArxIiKkaniWw+zt/ONhtzJfY7MUKKR2d26XIk6bESn3vjWh/Ndjo0KAP1kA9cMcDnPvc5Zs+e7ajcJtpEbvqXgRSAI488kt/97neceuqp/OYA4kUsFbHGnuTGddux09ygMgyuY5ERQuJ5YY42xEv9T64Lg9FO39OAxrzuAlOJdNRHeiGE5Ktz7XIjxtX0AzHbn/es+lLMBKkN3I645iX/TVDj8qGJwIo0QYBZB5shtBjNNLOR/950WrtvhQagdrlGHeP/NoNn1okE8Hzx9bN500/vpCZrfPagWXheop0RXkjYqLCmT/LMqmXsPmUEMvAJAh/PC7nn5aX87cmF9NQbDAZhskEXbPBxffU5NYGjH1yMttkGu0/t9Dpv/duyH//mkVtx+eNL+Nt7d+OMy5/g9d97gPftOYmXV/fx7ZvnccLu4/nm0bOsOqSySF/Xv4sY7+QFqJ9acCjUzRioxOYuwh3u1wVebKCSKdvoI1e60DTfIP3fzMYGLZp5ik8Lx5AoW5oCg9lOmZs4yigc480oBhRxlRIygFhsYqqjeEVmpurZnPFXILNxOb2nzACNPNJgKD1/05Js1Yiw4afygERwEpMWshjaBpuxyjMdRUgeX7SWRhjy0Bl7017xkQ2PZ5f28r5da/jt/XSNXA5VCV2oMaT9UbTzso6WZNKg0UQPpWmJ+nAwDDn6208ytL3Cj949MxnzkPaLM0lLxLWUvGhPkTiZ79x917wXX2hh3NlMdHTNNAnNFqj7P6mz/l0Uah0hs2dP2aSFQMY4MkGaPTYLfb5kcZ9lrCO05jPa40zBnYjq7/khXiUkDg+cap/VViNvl8N/+lmZjugnMOa4AfxMivoxjgjWsNptkmlKaPTB1656mba24f8VJ8tLRBrgbUA+m+hfDFIAvvvd77LNNtvwu66xHLfrODdQsSiRhmfTpA5TtBjdPMBgP2uDj7KUB07scsPQT8oLPYQfpBbrPLvwJAMRO6RnGIe4rXbl8ttu7wHOxcduj37W5YQKCrAYDL99Lo0wmMnU+3Iwmu53ZDB1Rl3M/5l2OjQ8Lorfi5BsO2YE1753P4777T1c8uArHLblRHaaOIK9p45isxHtLOvtY4dvX09PPWDBpw6nsyaotvdz9rVPceHdczl2h4mM6q5yyQk7sM/0Ec3LN9ttXEtt5maa1Ph3AE8rfap8Q5pm9s/47nZmje6ib1Bywwf24ef/eJmf3fMK6wYC3rnjNO59aUm6goL0IMqMvcIq5qS1pPdao2JmZjPFpnbDvm/b+9t2/bmSUlJ+ALkbs83E2Eyg1liEiblf6vyiWBiQBd8pkiLdva0wimY14/Zbgh69toYRUBHE60wS+jh6MhOmOqcu9ny2NCPmNRMM6TJcGhTdh2Hcl4ZgI3420Z7LwFfrbMQIpsCe5UdhnlelbggeW9jDtuOH0EkHQb8SwggEwWA74WAdb0QdOlBaEQ+1AIco4CFRwTU0btIhyqO88WU8B0MkNzyxivOveplVPQ2uP3M72oSnzG08rfkiN4pckS9eykE+SPxAbXNjGTrWYJPpdQkCSpDTTwVSYKWIRI5wLluQiIFMrvBPay0NgJIxUTXWXSCttXOVaT5rUGgIHeL90tjz4mU0Epj61UZk3hXt8SaISLXReg/NAEp0zfZPtLWrOl3KxEwaY0snNMaT0gg6+BSpzLy+ddMr3HXPpVSr1Wyd/sMoNq/eCPlson8DkDJ27Fguvvhi3vnOd7LH5kOZNrrDAiqkJ5uXPqcjj+wzM/JAQxGYaHYtzymvjHN9GPrKbCrwkZF0z3ZgB72J4AYqvowXq4yzvGYEUgti2hQi0x67ruambyyIJlCw89H3UiDEYa6VNVUxVUIWeMl510JIwtAzwGFYmL7su7JBzaxRw7nnQwdz20tLuOKpRfzkHy/w4csfYLvxw6gIweumj+HZ5evY+ltX8f5dZ7DZ8A5+eu98bv/QfmwxulO9Z1+JOYvAY9YZ3dEGx2ae0RaZYMwRjS0v/wSkSmoVj4F6SJfXxYf32JLT9p2ODHx++fDzPLlSny1EAkrMKtjSQ1ch+vk8kkYBGpSHkD70keYRZ4qul7lv3IvNt/T8MqSxcRqHxkD9zvqemCHUpWO+5lKTNSuPMoIBzZwHtulT9EojoAIYgTvMeV3ABJoMlEz3kd0OmzlMaYetwBHx2mYzkK7swwTAABAJTuKqGNEVUxpyPX6N+i1bN8i47o5onQpZvDrklZXKycSrRSoN7XMSR/yL/sd9ou41PMkVj61gVFeFTuEzf8UAc5f28+KSAS5/YDkD9ZB37j2Oj79hCt3VKjKSXGugDsTmj/GYhDTzCGkzKLOfzbFpCLrie3Z6+17BmJOSJPy8xoAOAJsGovpLWtCWydsVfj13bVOLUqEJmWtc2mPSEibEaXLMrNP7sB6zIjXOwKHpi8jz1ViK+zDOT4A+hiBeqN3WJHadnCQdfRkaQEgY88AV+EL3nUDxLr4kBVgiWtMb8O5fP8cXvvRldthhh+I6baJN5KB/OUgBOPzwwzn++ON573WPcN0xIRXfKwYqmiJtClgLarRBpvxQyAcXGU2ACJ1mXvrZvOdc19NOdGlmOgiS7vcqjdhmWqd3aQTS5Udl2GFIy9gUl2RuUloQLdlx9IXrd1KYSJ41wEgqb+t95OXlem8uMztnW6L3KkSY0maZ9+2y9FipCMGB0yZy0PQJAKzsG+TvTy3gznnL+Ooh2zKio8Zd85bxlRuf4oI7lvPb43ZnxshukIopElKkfUyiNhdqC20GuYhsoBI3Kj+6jbQ0KHounfqXx1m8doBtxg2LwWhvT4XP3XA/d85dwZu3Hxll4MjU2lwLz96wwE22gsRnggiIfVRSZ1C4AEbRMGgGWByalgwjqDUldWPs2lJMfd28phkeyAAUlx9FGdJmh0Uh1iGR0qYfNpgnnU6kz2qKTQMz5l96Puv8jfdsMqWufoF03+QxsCYzaAE7U+MUrwN2PzgEKSbTaIeBT+0PNvMXMd9eJWBtX8An//4UXzl4Z8Iw6qiBqK4eiY+JR3YsBvDISz0ce/6TTBzZRk9/wJRRbUwd1c5mI9q44LjpHLrdKKqeRwZ0GJJqp1Q7r78zfWD1uwMsltGU5El67evOs3vMkNqWCWKmLgXk1Kg43l+SsUiEK+Zll3avaD+1gYpVZxdAia9n2hDG/xMn+WzET/XfIfCz/fDWl6RjfrvyNMePtmghWsrNcPISTv/zS2y+za584hOf2LC6vYYolEL54G6EfDbRvwlIAfjGN77Brrvuyv+tOpZPj7qF2AYy2h1k4KlNMpbOpE8ez4Q5jRgbGYEV22E+TparDdEMbaIZaMn2O4dUHl7UrBAhEo5LAxVdr2b5iJB0GFJIa1DAvQEV1i1hfPR3m1ruizzAkQNQzP95dXQW0wSsuPyM0qAnC1x03+r3pcfC8PY2TthxGifsOC1Ov/dmY7nyxNEsXjfAhGE1TE5XmVCIVFSozKbWrK1N+twFjksxG/pLVN1HFqxlu/FDWbBqkCldEARVbn5hMZc/sYgzDtqct+48OgtQ8hgWl+YnZbpWcC/OV6gXEAjwS5yTYPqgWKCkaO6bITjj6zY4ib6b0sSMaYixLiXlkmJ2XADFafZYgkx/MSdphty8pOe3ZsyNZiYaXSNkrzYRcfiqZH2kjAxxAxHXdQ0ETD8dfTCsrXlKHjKZXZcjcv46Et+x+joBMSrFknWD/OL++Xx0v2kAXHjny3xsr20Y29VJpdKfPNOPAhK1KCN7HEZj6cXF/Ww+tp2nvrlron2pGxGVJJnxFlPOeEz1Z0qL5Wx+0taykned3s6vJJjI5GOamGkhm6kdsecOiXYhlY8rpHHUBy0798fzkOw+aqSxTc4y1g8FACVvHupgNOpj5BUa5QkLkBjCpawWPqtdaeb3mm4j7jFhamPjQ2UlgjASxiVJ//CPpVzxdC+PPPJLPG/9TOhfi6Sn78bIZxP9G4GUzs5Ofvvb37L33nuz70lbst8Ww9G27mpyRY6PgacWuDCRhtn+HE4/CUuroklKkXKeTz3jACqtUjHz6REEuiwJgR+FJA7Ll2eanRSU2bSeBjApJZl1aHncCaX7e076vIPWmpnYpdPna8JsaklqLf2o3fkaFyEE44e0Z9IA8RkppepQUK8ydW7JDAhSGpdfHbczF949l3f8/l5O2WMLTt9re8YPaWdlX52PvG4y1YplIrKeZG+eWbMfmf2tl4K8M0l0m8Lm49NlrhiT6WeSxwxGmp6UKVKcvkl5DoBignaTGS+zDhSZRLqlvpZG0wArpimYdth2gRXN1Kmob0aZ0XtKaZCsNTppp90OUgxibHKWo3nKADujL4oEHpk+NdNYa8wZf3ucXSaN4AN7TGVdr2T+qgFmjhpOtTpItbMPHUUqHPTx2hvG6d2ZYpFC8tU/zePDr58I/SKJjGSPN2uspcx8mpgYFq4d9juJ+8jsm5xnHcIwdb1g7OXdN4M0QErDnGcZYJ/tk0pvgJI8P7xmpMJXkwYo9hphrVHxd3tuO9YWU/jgCixj11iGQoUO1vuL3S4piCPzgRIgCFKaJFd9y4AVM2BLCiSmTEZJCyx0P0h4YXkfH/7DC/zsV5cwadIkZxmbaBOVoX8bkAKwww47cP7553PCl77EXad0MmFYWxyhIzb/8sMUUFGSBm0SYthURmu6nqK2SYDevJszvVrSgSGJL14A88yhXGm09F6TZzLjTfJIqtgak+uiMsCk8PmietrSvRKmXEXXikzikutlTcAc0vSCchWY9R3lhjy5ZC0L1vawy+ShjO5WxugDjYA1A3VGd1WjyGB5HIC77XEEGHtTa/auHIyp634MiIH7X17Nebc8y0/etiNfPXQrjtlhPAf86C7et9tmXPPsy7xp9hgqwkcGLUjlbHK9rzyTt5RpWOQTIYj9U5xmXVoT4or+ZaUpRTbDGF2LgYnB2LRikucEKPp7wTxwCUyKmERTo+qco5aWRacQkRmUBiwp00Avkp5qxkmb5MVgM2mry8cuxRgXmTtKkQCjqA1pgOMAdq58rO/NzGjNufPyqj7+/uRi7vvQIchGjV/d9yJv335zKpU6lbYBvFqAbHgKoFQD5Y9SJ/ZF6RsI8DxBm69sYpatafDo3F6O33VsEiZY94M9zmT6WgwepNWv8Tu22p6zL5igOtZSQVMwoNPkjnMb6JnjymaQ9X3d7zZoySk7Q9qSIH63OA+uddbVeueukNZm3YHMPduPJgWaAex91QIoaeFgtj5BvaL6xQ+dIebDhp/4PAZCpbM1UyYVmMI5AVhomEeqDNJ10O0XXjyQevpDjv3ZM7zrve/nyCOPzNbhP5w2mXttXPq3AikAH/zgB7n77rs54drnueoIqFUNf4jov6gE0caoJKZ6UwwbPl4lcjzTjIze1M1CLFMmQXpDd5mEmIyvMtdqzpQUMbrmfSk9GpHExPcbyuTeDxLTWR1Zx2KoS4GhHCagCJw5AUtRW4tMi6yNS0tfIcscFEreXMXmaHPSICatDSvKp4hBbKbNkdLnW3c+xZ8en0fN9zhk5lh8D65/bik9gwFHbz+Bn799h8S+uMWxUwhKyjANZMc1BpO3qr/OEb+4h2FtFU7+88MsXNvP27abwOjOGiO6fC55ZC7feMuseHM3N7pcrYfjXm5dXWMovgaxn4OUifYwIKuwiLlsCs2+Uulc06dIexKKRIMSpXVJXVPF5TA6LoCSt/6knjXztq61Mo/yUuioQ/b5SCrPMONcrx3rda6u8MLpOtMcoJgmZwWS+zgymmNtzNPKCiFjRtnlr6N//ewf8zl4i7FMG1NFBvDYoh7euf1sPK8fv9pIzHFCAbUA6gL6JXhw7zNrecuXn6DiCd7/+vEsWVXn8n8s58BthjGsrZqEEA7SWo3MmAPUyW5h07mUMTmMvru1fcTCvlRfOZjbJKiAyyfC9R5z3pcdVc58Z45ckptWGZFpVDyG9HoTAS/3OmLlYYJlyMxjpxlX6rnsnHeG8I/eRcqEWs+p2FE+WlMrCnTJ6ADSFJAz3n1ohqY3tRuNKBCPRfFeqc0nDV+yXDNVh3mq2S+xdhWgoQTHUko+eulzdE/eivPPPz9Tj/8G2hTda+PSvx1IEULwwx/+kL333puzXtmVcyY+qdSY0SdtfypjX0UdKz8GKkJHnFBhS01HS0HEeGpmXOcZ18FtchSaJhI5jEDx9cQMySwjybdCGHqEYYAfNvD8QC1sQk1+YUgrTcpcyVlkbcqTxpbWqFigw0WZPrf6pywgKco7t3px+7LaMNfzRcydq+42vWP7GVz5zAK+fsjOzF+zGr8S8Nk5M+moVNn5OzexYNVWTBjabmXsLqupn4GVvpU0KcAVXXt5VT+r++tcc8KbeeOvr2TXScM57+bnWDfYYMdv3Ywn4I1bjkmYACzG2yUxt74Xal9yAG4qDLEwQI/FnOSCFQ1k8oq2mLbUNbMdGqCYJ09bzF3RfHMxOLYWQEoRrwV6rIU5c7HonbtAtXndlY/L/EkIGYcSN01QdYQr07k+XohJM0G2uUiGSc5ZP1KO8Q1LUGWBu6K+cQX3sP21bNM3ncdgI+Tn98/n+4ftigx8BhqSzmqFSkU5ktT72vGrdfz2ujpwT0LYW0EMhggZ8MvrFvM/O47k9VuP5E/3LWXqmDa+fcxMDt9hVBRII6qGHQbXMZ6EF7U7cI/TdAckYy0PnMRkA5SccSVj0Ji93pQMwGSOTTOqXDMTrazPRVS2A6xkfFgywproS4EFglOYZAkQXBEpkzKs/cKc7+Z9AyQLIOiPHJoMTZTqK1+ZsFpzQLXDS5lbxvyMOfYj3kloq0ENVmxAmvf+Ay8rHDC0q0qgIbn43nlcN3eQBx74I7VazZHTJtpErdG/HUgB5Z/y5z//mV133ZUdDpnKMTtMjO/5bVEMcQAh8SohYSiiVSti+ht+HCnDdKzXYMUVTldT6oAlh2RO3Us0KnlkS0CTzVGJd1OLNQlYEUKgTrUXeKGHHwEVE6wAeL6xKtkSEItczImzzkUmX7Y5hHm9CaNg/i5blzh7p9bCzXCXyy8xAysClEWMTh7tM3UsXzxoB866/iH+fOxb2HZ8hc7uNfi1OvtPH8lvH36ZMw6YUY6ZbXKtbBpXO2wmFuD/bn2Gt86exoQhI7j/A8fz8to1HPjzS/nJMdvx9ycW83+Hb0XV9xIzyrwqmePB+t7MzMDt7JkwvHFYUTP0rdaqmNma/WtGm7F8t9KVSJerfoj4Xso5XoqMWYjJVIMD8BprQZ7/hBlOWwdqUN9bN8NMP+9e68xxbYMjG8ja5xwRerHgRF03xIcGYEkxj0G6zUWagJTk1pG+GUBpSXiUGqOJeeWljy9gMAgZNqSBV63zzJK1TB8xjJ6+IVT9OtXqIGHgE9Sr+NU6lc5BZCjwKyGE8OBzPZyw91hW9zb4xjEzmDisLYkMZ5iwucZXxg8AMiAmG7BAxHMsrXki34fEYMpd64Kd/3qTBVTiy5GQsChUuv2MGdSgKVjJA1b2HmbezwFuKcFCdL3Zep23t+iPB4lpZZR3GPip/orJC7PCvsDPmAVpLaHwwvh8ICHD2GwMSMBK1Feq4DS/4uwruxwjzb1zV/Kpq57jyquvZeLEic5n/hto02GOG5f+LUEKwIwZM7jkkks4+uijmTaim10nD0dKQbCuClLgVRoxENEHe6XV214qFnlqAYwWNClFkiZv4Y8ob+HOW1hdjLWIy7Wel8bAltFiKKt4nkcY+nheED/reSFepUEYJEy2HdPfLlNd93Lb1jKZGhRHns2Y6mZalGagoEyfNwMvLuf6ojqVSSOE5N07bcEji1bxf3fexY8Pn4NcO4y2tj7a/Ar1IMwFKCkGFjIbQ5k+zQDuEv0hpaARhtz60lJ+esSB9NQ7qQcVfvnwAxwyYxLH7jSBY3eaEKWN8nJtcHGGpu18YvdumomZ5Izxb2YXWucEScAwLXJqVeKHScf4z9GWxGXb/SPT9xI/FLcTd+ZRF3NjXrO+Z7V85X3g3HNCA48wEnwkwMUlRDHzsoFN/EqNs0a04EQ9lwhPYu1KRJp5zDB9RZL5PMYwTpgFeenvptY7HYgkI+XW6SBuTxgIvnP7C6zqq3PIj+/hI/tM46VlIecesjOd7T1RHorxGxxop81T+5A/ZABRUSDt4B2Gc9qvngfgW++YwYf2mZy0uwicmH3lhzFQMYM0JJV2ABXrPBFzrDr72+y7bE9nnzH8KJqRS2ubYdyjdqRC3TsLFjEg0elMLVtqP7Sj+hUKSNLmqYVj0BpncT45YETfc5kUm3uznk9BvZrcy0kH6fUlry5C1znwkaGHFx1mqoS2YWKZEiRjSpuRFWlfXf0wf8Ugb//9I3zt6+dxwAEHZNP/F1EoI+vMjZDPJvo3BikAhx56KF/60pd4+5e/wM0n7c7EoR0gBUHgU68rVaLJbHpegBdpHTJaAS+teVDS4GTyx4tKAbNn2jPrTUrdz48kVcQ42hTqdkRcYBj6EUjxVLuERMqAMIx++0F0LRnNheZUOaDCpEJtiqvuJduWeawg7frm4/L3yX8ubbrXmjbGkrxZZf7vvtuyz0+u5JJHn+ZdO8xgWc8gVz61mM2Gt6uNpllZVp+Wb1N+OqeELKLzbnmG0Z3tzBo5BUFIPVzI7x59nL+/dy/nO4+fjTa4DIMLKcBgn+eTCvfaxCRRp9EalSRscQJ6UloV57P52pvsDeu+yVA7AIqZJp2/l/7uACXJd4cphZEmj8y1yGYm0nPBDM6R1dTovOzn8ihmNqNzRsxrYcOPGcaY8UtVOs0sZ8qywUcJ0J4vNHAz0i6my7524/NLeXTxGgAqnqAi23j9jDEMa+tGiF5q7QNqLoce1eqgEiDVGojuaO0WkpHtanudMrKNrcd2psCJalsO+DUpVCBbNpJ3mLJV1+nzzJMMEO1aAzImSy7NuCH8i5MW+Sya89tMYqeNtXBpv6dCDVmQ+FyInD1dhmT2OVP74sw7zPYdGFoNsw7W3HQx8jZAyQMsuk2eAVDMe2b90wUk+WktaNEzWlOjr3mVBqYmNCVoMdcAmfWTs8fMuoGAt//pQQ476m2cdtppbKJNtDHp3xqkAJx++uk8/vjjHPf7v3HVO3enoyIIQz+eOHoDVuY7fszM+34jNbH09Zg0M0VrQMI0h9Bp05u9YUdqLV7JJhGmGAetTfFESCi9BKwQIpAGWAkikzCpAFn0Xat34/yM2OuZNuXUKf7dYoQvc+Nzbf6tMP+tUpm8y5jKbOw6ju3u4Ndv25+3/+EW1g70c88riwGYt3KAsFEpNb5swGH/bxVYaUqPc8k3bn+Ki/7xHL848i0IUaVWqfPZq2/n4Jlj2HXKUMKgSLMV5eVlmZIMf2jaijvAinq4ALhGwSMyQAX7mvmMSP3Pz1zPDeM5BwjJ06A4QaHDLMQFODVAKQKWzio7zcKagIuMhsSz7jsOfDTqYo8DQdLO+L1rhlOYfnTu/NSXonee1T4583DcK2qD/T/Vviifq55Wc9YXgolD2pk5ciQj2oYjkFQqDdWuSgO/2gBP4rc3EB0BSFjXH/D27z7Fky/3cuVp23HQrBEIvLTJlTHGtH9Tft9bF1xpZXqsm/1rn25uggWbiW4miNIkKOhza43KY+AFpDQowgtzT2I364tR1wzwivJM7YEl1koz3xRAdjHpjvnqnr/JHNXk0uoBNBoV57NAbEmR5BFp+xwCr7Q2Nl1uineJjjuQup0YoM8Ar5lzXax3GUrJKX9/hOFTt+AHP7oQkWsH/F9EOev5+uSziV4DIEU70h988LN88PJHufiIXTJpko3ejyep7XCqmWh7sprMtWtB1emSsoolHCqyg2m+EWbSZzYGfY/0whVEoW69KA9ttyuEjLUpnpdEB3HV29MLj90GC9SUAic5Ui6dZzMzrWZUtKHFVXBoAuz7rSwQZQBDs7SuMveYPIafHbUv/3fbY7y8pofLT3gd+0wdRaORfsZmHIvKNBlbc1ytj8/Cs8vWcO5tT3DP/OX87MijmDhsChVvDTe9+AwPLFxO1RcEAfieseCaElU9FoS0HGCjJEbfABlb8dwIPCSba2q/k8INVERyL0OtLPI50u24Pi6zLhN0NHGizYKUtDDDTm+myVTVSG+DDRdgscdn/hwpzsfF3Nu5mL4rmpHVmt7U2C4LMBzArug5UxBkU7P1KSlH8pG9ZvLGWeP5wKX3c/q+W7LD+LH87IEXOXDGNnE6zw/xaoE6JbwWqClZF1x47SIWr6zzj0/vyrC2GubpbqkQyrEGxTJXNtqeuuby1ynjP2GNMZfGuVWmqiwozLtuWy4AypSwSV6u8Whf1+DZdEgv2rsyZTjASf46XJyf3e+ucIPNgrmEoZ/iW4DYf83eM119rtcI80Bip9DB8Euz1yvzuvnc125+msd6K9xz0+WbHOUjMs5t3eB8NtFrAKQA1Go1/vKXv7DHHnvwjXArzhDPWRMscUaPGfyg4gQfJlOvQYvWsoSGOtT135zcZZlypeFxbZhJnU3yREhot0WDFS2FkTJ6NozrnFcXs41JnSym2N4MS25YLqYhb8EslgoXp0tLf/M3vuy1fDO8MpS3CbrIVbcDNh/PAZuPj38HQRocq3zN8vJNVJI0Xuq/XV+dfxHd98pyjvzNLRw6cyq/O/oYhrSNQBLy60cf5Dt3P8ype89g+qh2TCmsGYpWFZYwRcLQShIDiATYpOplhj7FAiKZ9qR/6zC3WWd6dbcp5XSL01nerIMjcllqzBZI/MuAE5c0tNk4t8dl8jvxQ7GfcYHivLxd48ulabHz0nftEMapMWI9q9NnG+vSPOWvD0ndiwVJRc8C/OHRlzn5svvZYcIwOqs+b9t6Jv93+9PsPmkcUirzGhGoKJIqbKzODAYHJN+77hUueNvMGKDY4ysFgA1/gFxzq2bgJAeY5PWXLcBzAeU8alUIlJfeXtNbAT16HBfuw1FfxOGly+TfAjjJY/TNtGb67LruOdNqsvd0UzClxqCfy4vkAQtVTtZP1/RTy2uLi377yFwuenghd9xxB6NHj3am2USbaEPpNQFSAEaPHs2VV17JXnvtxbRzz+Wol67LBSqa3Au0OUlDwI81ElJ6hKFeAC31qJVHslA6ThYvyZDrvG3mwb6nn5PCAFsiJAh9BAlIsX1kkt/VFFAxy9HXfL+xXgy5a4EsAipFZbiYtfTvfCZ+fbQJzcrPu7ah+ZubrHlP9Wt6EykjKStbZyEkK3oHOenSuzlz3x1569b74nsh7X4Pg2GVxxYv45Q9ZnDGfjNjZkrqethSTnNORFLzGJCkYvAnjq2ptkTRtjImYIXtSgMVgMxJ583ysE2/7DGX42eiGR3bzMsVqct8Jvmk7cZdjIkLwJRh8ty/3cKRZvkWXzcd8YuZNBOsAMkYcVCeFqoIyOXRhsxX9WzIt+98ls++bjZBGLLjxBEgO3nd5pO4fe5CDhdj4jaHgYfvq+Atq/oaPL24l0sfWMawjgqHbTc6ASgWsFBjh+hQUC/tN5UDAp2+PGb/NIk61ex3cZ8osgV1eWnKlqMFg2baZiCz7PqnhW8tmS9LkTGhSn9PwIk5p1UdXXPNM8avHwtIzXxt4QVgBMpJ7+ea77DzcGlKbXJZliTvMn+/sHKJy73lxSV84rqnuPzyy9lmm22cz/+3Uiugv1k+m+g1BFIAttxySy677DIOPfRQNvvLX9jllp8C5mRKH0NtLqjuF+7Fi4258KhFIgtWVJ7phSqJoJNmFvKYBH3PpLQZRFqbYkuapBTKyS40Tj2PnhGZkMjaXlwAPiKQmXrq8uv1WgzUtD+PWS+bYXYtimZ78zYrN8NVbNaSBkVpZrlVyV4etZqHzRSm76U3L1cd3W1zpykCry4qkoidd9sTzBo1kiO23I91jTaG1XoJIj+ol1at46AtRsXO/a42urRv2oE6Zkx14hSAsO5B4rdigJWY8pxcrfMUYn8Hke8Ym87A2OTtcK2Z/qfcSfJkwbj+b64vmhJH13yJdnQ8orpmsfeCNNOWJyQw1yB7PcpjBJsBFw1WTHMwW9CSGp/6t6lZwTFG15OJXl/Ka/91zy1hac8Ap+w+i46qz+BgO/2NOj994FnOf8MedHSuxfMDvEqA314HP+A39y7mzD89j+/B0I4Kv373NvgkkbgymhRjXBWdNRTVLF1XPe9S47i8747rd961ojTaBCm5lzVjyqMY5GU0OkpbkN0PsteECDJjzlVXV6vy3n0Yuv3DXOAky1sUB2JRgKzA38aqi12u/aziA4LMPuxas+02ucChTXqOm3NdRIvtU0tX854rHuH73/8+c+bMadqmTbSJNoReUyAFYP/99+fHP/4xxxxzDLfeeisTfvt1a3KmD0zMI5sJM6UUQVCJI4WB0q7YTIi9EJmSFZOhdqXTZEvT9fcgWpBcC69eYOx8w4IzW5pJWTTP4xn+PDE4ipglu772Aqauufs9D/C46lh0z/5e2KYW7m8sSoPlhFybqL6ed8+VNo+RtDemPIZDSsmVz7zM1w/ej+5aP6IuWDHQxdj21VREH08sXcn247cnsB1tc+oYlxIxoejgFDGjbVCRGZjDyT6vDwiECjseqlDHidmX8xH1XNGhbWa41iKgJIu1KK66ZqWlbtCSegZBKD1l2hl9N0lfhwSsFI2htL17vuS3aF6562quUQkQz9XE6Oes81YyJ3Q3mevN6lyULo+h1b/XDQSce8tTfGC36XTW1No22Khx57xlzJk+keEdMo72pPz4BD+7fTGf//vzfO+4Wbxl+zGg9wB9Jozt2wQJQAkMQVSJ8MDJDQuglAAd+WtCVpJfROn3k96n1NjOXjN/q2vp/FzPp8vMmiiF8R7pFgKBshIoI/gxBYFFkfbSmhE1V/PmcWbeWnuCa17rdDpQTrO5EObwCbY/WdayIr+dZn8kwCsxg1/a08sJ1z3BRz/6UU488cRMnTbRphDEG5tecyAF4Pjjj+ell17iTW96E5cdthtThnXnbqhFkmpNYejFzLi5CGqtiv5tMuZ6gdDP2osORBqR0IsXIEiHGZZSqAheFgOvo3yZ12zKk6DkpXP1SwI41PPa90U9kG6HvpYsZImq2N6I8uprqrvVtfKqeNdml1BxqNH1kco2A0N534sYxqKNe33r1Mp9IWBEezvfvOsRpo94iQOnTeCwLTenZyDk1KtuZvPh3cwYMcJ5yrlpfqB/x22VIgVUkgpF92ONi8OsxSV1NLNwjS3DVEybiTkd581yXLcKQElcJ5lIu539G7U/zejk+6DYzEGcTh/oGqUPHFJXIWQ6THmqLeX9p1SafKluHti2y0ko7ZRbKJCQiWbFvGanL2pDeXCSZc7s53V5i9b2cfwf7qKrWuGknbciDH3W9Q6hHvhc9uTTnP+GXalWB6jUBvGq6kDhFesafPqvz/HLU7bkjdPHRuujUX4zgGJFRjP7QqXx4++6rupLMofMNmW1+c0Bny1YS9/LCo7KCIlcY6SZEKpoTXQ9m7TVPU+ECDPCliS/fBOz7H93gAtzz2/WNigWIgoh4/t581tTis+wusoXen/1CvsqdyzoNsmkfC0wCUKfnsF+3vHXOzngoEP4whe+kNue/3badJjjxqXXJEgB+PSnP82CBQt45/XX84eDdmRMVxJjPG9RNbUCpjRSf9eHKcbppbAYNj35/cxEdwER+7/5jAYEAvdiXgRU7I08b6EtoryNwWm7KhzSsJxDI+10JnmRWZHZV3b7W2G0krR5G8DGjY+RB0Ds/rdpfTU5xYyaKxKTzZRlTXx++bZ9ufa5hSxZ18dXb72Xs2+6m1DC7LHDuez4g/CoEIZ5ddbmGFmfmlhSrhkDfU9HeYrvW6DD5S/tbK8GI00OkjPAT/p5R1rbId4AJvG1nOhJqu7FUfGKzETiNAY4yWMqzTmRmoPGeua6b+eTum5pY9z1d0tq9bwy1yG9Lqr/WQm3zUTb48fVZhdYSfdROZNaVzABMz8hJEddcgfzVvXwtdfvhAxrzF0xieFta7ll7jzetE03w4etw/MD/PZBvEqIqAbUqoO0VQVLlgQwTWcoMuaDZvAFKQUZ7YjNGIcJgLH7ST9v90Xq+QJwkhdMJO+ZtB9S1kRIv2+bnPPNIDu/5HdR1MIw8y7zNYj51gjmf/3dBiX2M3nCBFc+NjDxCFMgxdSq2ONc1zclMCyou5mmIZNgQSbQcK0BLqGqmTYwwF8gfQYaAe/7+11M3HZHfvKTn7Ap1PAm+meRkLLZcvLvS0EQcNxxxzFv3jx+sfssOqvJaa2mpNeUCrjIllq4Nu5WUK1rAcsjXT8NlvI0Mma+GsA026TMRTJTxwLJjosy6uqC503tUJ6Uzb5ugrIy7yO+1wQAtAIQmkXWKlNGHpBpRs0kna8Gre7zeW7lYgYDyS4TR1Lz7aASGL+T95l8DzMaOfO/Pq8g1R952qgSTu+gQIPwozxzIoTZIYyLAIqLWdTlJPnZTGfCTKYk3zmApAigmGuFzfBkzTiSvm5ljpRdu/IEBvb35FrWBy37Pw1oXOPIWeeSzLMuo2ieFM1rXYd75i/nE1c9xONLVvOrtx7AFqP2gHAxF9x1J1896HWMG7UYLzoXxe+sI9oCRFVy7eMrOepbj7P71GFccNQsth0/FJf2JK6/FOpUb/t9OyJLNdOgFwsxsky3CSjTadxpC8tuAnLXZw20pf+ufjCvuTS7Zcp3t604ol4ZYYK975bZ/+262gCmqO6u9cF13RZ46nzy+tdee4IQTrv2NhZ3j+DGG2+ku7u7VLv+22jNmjUMGzaMw3f/HtVKxwbnV2/0cfm9p7J69WqGDh26EWr42qTXrCYFwPd9fv3rX3PooYdyytV3cOGhB1L1vVgUq5nl0LCpdFHgsHnNM9Eyf7uozMZhliWlSJVfVA/7sEfXM6ZU31zwQjwnWClb1wDfuVm46hASqYwJM+lt6au+Jw1O05Yi5am+U/maEmVTY5az4bs3gOaAwPbFcZ2F0wyotApIXIzFhpIQkiFtkp0njDE2ePP9uk1l0vXJtt1mRk2HaSEkKTOv0EOfTp53MrzKwwLjgQd+qMzCzHNX7OfyXkGBj4pd3j8DoOSdGJ3HRAghMxrJTHMMYFK0Xpl5ZMCMpVXOanM95/iw00S1yKRz59n6+HaZ79j3i4CKlJJfP/QSi9b18au37cPrpm7O0p5evn7HHXzhwO0ZM3xZrDWToUc4UMETEuEHHLLNCP744dm85TuPqzOQZOIYb9bJ9mmKDy1MSfGzQFX3i3mtWR/ZvhPm/+x3248yC0RclOdT4SqjmZDJVbciwGBr0N1rfLmgNRlNiMPCAvI1J/Z3G6CUGc9mm8x91su1Yc0+l1eWXivMNEVjKDtuJF+67R881dfgzluu2ARQSpA6K2/j5LOJXuMgBaCtrY1LL72U173udZx5w+2cP2c/fC+y68ZPFkiZ1QYUme6YjLKesC4wUYaaLQg2Y2fWI48ZKVoE88rTQKVVLUqzfF1pbLASa3VkFrjo73mMvUv17ZIOmf2k35XpT6NpfZkhk+nKc0hOqNx5J7aplvpe3mwnP/9iqWKRRDU9DrNgJf2cAiouZsOUlqcc6yEFCuJnDMZOAxbT3CpVhglUAOnJLFApiPaV6k8HQHHdTwEUIx8XIEnu5QMUm2FwzUuPrJ9H3DzH2mCboxS221FmWdBi1lCT6ZOSHa9Z0x2TzGdaWdNc9/IEE+peFrD86qGXuOmFJdx60sGM7eqm0WiwaO1Cdho/lqFtQwjDdYiGMqUJAFEJ4vF5+1Or+eQfX+SMgzdjx0nDyESE0+/W0J4UncdRNPeT/7ZJbnoNCWJfluJ1PjVOHVp81xqS9x7y1mgoBjvpeZZNKyj2YbGvJ/VsvlfH7XfUz+VzkjfONJkAJXfPd5RltzHe+4V7T3AJ/+K8ckCf67drT7bXg2/f+yBXzVvEXffey5gxY5xt2kSb6NWk1zxIARg2bBjXXHMNBxxwAJ+5+U7OOXAfPJGVGEiRXQBd2gV7k2vG8JUlKQX3L1jM5U+/wMf23ImRnW2Z/M1Nvggw6e95TIG92MSMkLXw2e1qBqjMtM3aGtfFKDMPIGlmzH7ebWYinZItM2+b8UsxcyVeYTNVe7PnykfLcb+PIgC3IYAlj/LyN9uTLzXPd5yO84FMGFqdv5Mxc2gzMn0iExmtCIkPiARSJjZl+67I/yRJ48X3XAClsM6WyYj+uMxDWl1nWpH6FpG51uQBoOiHg9JaE03FoCU/OlNcVIbRKju3slJ3/V2P5UVr+zjr+ke5+Mi9GNM5hHq9Sl+9jd8++hAn77o9A/U2ujrW4lfrhI2KCj9cDZi7uo+Tfv40D85dx6mvm8z/vm4LzLNPgEw0OHWtGKC42tus3TqIiw2UC/u0iW+FSc0ApL136N9FGjwXOYVxrToPS/tn8fNlwHxR2137rD3nizRJZhrX/HKWmRPK0NxDTcuJPN8YF09gXr/o/of59ZPPc8vttzNt2rTCNmyihEIE+adCtZbPJvoPASkAY8eO5frrr2f//ffni7few9n77ZmSrNrhArX0wgQuGcbAZe7g0MjYVMTwX3D3g9wxbwG/ePhJxnV18uZZm/P5A3bHjJLl2sBceZuSEH2uSqr6DkmRkO6zUvIloFky07YKWFwUa10cpKU85gaYZj6K89b3A8uRUmtiXBujS3oHST/qTWd9NTJlqJnUrvBZ0uN8fcpzMR72YX7ZPDSDm2MCptNFzu+x+VcrDLkuNzYRI3k+72wVV981A+NF/V/AALpAi5SJpNqc14EjAIeZTytAxTbpsOtcFqjmgX5NGel4DlhxjRGXplgx1Fm/kfU1x8w+42aqNVC54umFbDduBK/bfCJBUOGllfDNux/igM2nMXVEDU/00dbVS6VrgPradipdA/SKAY76/uPsOLmb379nO4aKTvWOG2mTLl2+DWzNernnUTkNSJy/A5g0A612XmXAR7P6tGKSmqcZzKNS0a4c6Yq0Q0WUN3fyhH/O53B/d5Zn3XeGN84BLjEoFJYWV6QFNQF50c6ybfjlw49z4SNPctMtt246rLFF2hSCeOPSfwxIAZg0aRI33ngj+++/P1+/814+ufcemFEowtRkTDZZL5rkoqQRoJ7seUyEBg0u+t6b5vDm31zKTuPHUPUFP33wCY7cagu2Gzc6qWfRQugosiErxm0tISuWjOk263SewaCEjoXcM9pqMvHruyGZlJeHC7zYdrqtgoR4wY5Ai8sfKS7L8ksyGbSMir6QaXNTUb+kpJd2FCcHCMnbBFuVRNq+PGZd3FoiF/OQlZIXaabKpMneUDV11dfM00yfejwCNLZZmbMo/R4cZ3rYgCS5Z2hLHOZdWqhQxByWIRc4SdW5JIOpvwuRnMPkqpNZnnlmi8rAzNc0/3EIAjIAP2s2lq5neYBiM83m9XS5Hje/uIQDp40nCCrUgypfu+0u3rXLm9h93GqGDVtCtasf4UlEe0Ct2ktIyEkXPc3I9hrfedOOVAMlstIHoALYhyva9VpfECmlsA7hywKTIrBql+GStpuk19q88VgEesqs+bY/UhGV8QPVGvaieuVRMzMpyHeILxJoNSPXXmvnnQjW8hKl6+Hai1rZJ3/32JN8676HuO7GG9lxxx1LP7eJNtGrQf9RIAVg6tSp3HDDDey///6M6RrJietWxkDFZoo0BQUSP00mE28yRq60eRILgKFt7fz0iDfypVvuxBeCN8+cRletSoiX2oBMqVSxA2Nz6XFmA5IQRNXWm5TdB5lyUr9ECrSk76yfmVQzipkky442FdoxZ1N1bSrN/DQgMX2JwRtpBs2kZvHtM+1xaGsyG2UJSZzreqtmFpoyTGdBPePym0jCnQwvCSOXCuMrZFqrYpabxyjZ2hQpSJ29Yvany9/EcSaLK8RrkZmX+bxiJP1cgKK1J3nvWfd3WaCSx4Da87+ZL5peB+z8ikxebU1kHMpdCqsdbs2KmV8eYMlrb9nr9j2zb+uB5LaXlvLRPZWk+Lnl/cwaNY5tRw0yesxCgno1BrHhgOCS+xfzjWvm01cPuflDe1Dx/Fhz4gImee8kvw3FAMPpEO/Q0NlluoRe9nrqZMq1GZC1V5jPmdfLAi2bymqkWzFJXh+gYq/zNoDL7WPnGpxc0+CizF4dP2/UIZB+9D89B/Ue7BJMekI6zcjyNOs67Z+eeJqv3/sgV151Fbvvvrsz7SYqpjzh0/rks4n+A0EKwBZbbMFNN93EnDlz6H3rW/lQOIAQaV8Pm1ILuTGPXUx8Itmwwh4aUu0iM5stRo7kl0celi4/TC92QZgfEtFerPNCDduLq1PFXhCm2C4v9VyUpw1WWpHcN1swzc3U7gsTCMYSYGtTTeUZpdHMWl7kFFPa6pKu6frkBVGwzcrySDN35piR0h2Cen2plUXO9PMxyaxncX7FEZR0fbK+JwZYkSLF5AkXYNEmYtE1CajT7F0FimxksDwgEuVbVEeXmVf2sMbkYwISzSzqw19tCqVIMRYuyhuTqXbgloq7zEE1aY1lGf88sx6q3m5wngIsUsbrr8orH7C0SmXBieve3FW9rBtssM3Y4XhewJNLlzOuu4tGsBgZetS6+5CBh6jV+cglz3PFE0v5zIEzOXb7ybRVKoSNNDBpDkLygaTrkE8TmJjCqmagBPK18a2AvIzQxiF8M7XdeQ7deXtMq2NgQ8ZMs2dd67nLf8MlXLDBh11WaFzP87E0nzXLjQ95NPrQBCiBQ7CZrlO6Li5tjF57fvXw41zwwCP87W9/Y7/99ssm3ESlKKRZ2Jzy+Wyi/1CQArDlllty6623MmfOHBYN6eYL+++LJ+zFozlD6EwTq1eL7Kjdi6JpZuUJ6ZSumAuVc2GTWSe4vLo2ky7Fz4p8sFIk2dXtWB8qkvTkmU/lSYXKSM6kTOx085wPdZm2E6KmIhMIk6Gzy7bT54091/tKmLusBq+sdDDvnhCysL5aWp5n1pOuh4cZajZhTF1+P6DPUUkdXuelGZ3s2BeZ3xKQQdQWLwExYeAwu8nTstkMohFi2KYYdIRprYjJVNoAJf6NyJWolplLZZlSV1r7uj2eigQWRWuAqnu+JlED8MQfLt+0a339vMo+YwqqpgztouoJnl62hq1Hj2bPyVM57877WdFX4bSurRheWUoYeDz/yiC/uPcVHjr9dUwe2qXGa5DvN2j+fmllDx1Vn5V9g1zx9AI+stcsqp4pYPGcYyj5nmjjzGuuck0g2qw/bIFExnHb0RYbPGd8mIrWVIqj120oZcyCS7B4eVokGzTYaYpMqm0Nk45wadapcB/OAZd2neoGqGqWrwu82PledP8jXPTIY1xzzTXstddeufXbRJvon03/sSAFYPr06dx6660cfPDBfOqmW/nK6w6g4m2YpNpcCEzJknICbn4Yk7mwmVIQl9Qm77ddtkkuW3InA29IbFOLWM5iXyRRbWZXC1mNi1mPsr/tcmypUJnNLm6HEUDAxfDnnQsT97vVnFTaMNtXeQEXyoANU4JetBHZzF5Zcm3STkmo5ZNjPpv2V7Hb6boWmX0Ffgo4ZPw+SIBL3ljWVxS40BcTsJJ6xgJ4TrOzKJ3NoJjvwH4XJmgxAYr+rs43Kn5/rZLNGBWB5GZlmSCkSKviAsomucCKLUxI5+Mb83DjaVjS9XYHfLj4/mcZ193B1GHdCCEZO6TOtOGCY7YbR3tbL42BGsILeW5ZL9NGdjGpe0guOLHr/cTiNZx/+1Nc8fQreELgCcHQ9grzV/XyzTfvkgtOUr8d4EQLsJqBkVZ90YrAs2lWlALStvygxJjL7G0iH/y2Ioyxy3Ltp2V93vL232b+ns2Ehi7A0swR3653npbUpqIwxalnQ/jBfQ/wm6ef5sabb2bnnXfOTbuJylHIRnKc3/As/iPoPxqkAEyZMoVbbrmFgw8+mC8sWsxZY8fQVsk222QE14dMJlY4FvFmJ7Y3lYgbWociU7JW6u9yANeUx7C4FvAyDFazDbBZOlcdw+j5MiApWy7x+3FJyew+bvp+HNJge3O0gaUGtqXIqKsLPGW0GzmgqKjeZt3t39oczHX2gTmGVHoPzwusMtwhjJtqSiCOBmaCivh5L0wOxjOuZR3ljec8BwOe4xRvUhhqxjL/sEatNdAARZt3BaGXH8EupbUD3+zzaP7lvnfH77JjNc93Ky7XoTUsA1QgDVaanU6e1HfjmTq6y0nnf9OLizh5163pqrUhpaDq1xk31OOPj7/ItBFDGNVZw/dCHl6wlkVr+mk0BJ5oHimrEYbs++Pr4+tvnDmexxavZnnvANuNH+nQwLUGTnSaPFqf9TCvLaYQyhyjkG86ZJLXDGQ0Wf+agbFWqBUhVuqaQ1CWWRsKNJkuvqLIbzUTKKVJvVsVcMQmZFJywd33csXLL3PLbbez7bbbtpTPJnKTZOOEIG45/PZ/KP3HgxSA8ePHc/PNN3PYYYfx0WXLOG/LWQxtayvc6DeEXPnYWpf1kYDFdt5NNv2m9ctxyHYtjM3MQHRaW+JVduEsE92k6F6Yk6aoj/XGmxstBWJmc71IWn0s3cCyTF+5fBDK1qtpFDrtn+MAoUXMZ5ngAHkMrPN6GeYhdDOwLrMsM61pPhZrVnLycgKkHEl3ckp8mnEMDG2KDVBcgBAcggCHT5ZZF02tHsra6ni2g1TkmRs2MwOzga0tGHFJyzdEE1iGhJAcMmMyP7n/afbZbDwzR41ASMnRs7fghRV9PLJkIV+9+TEeXLginrmPLlrL9uOHF5YppYcvPA6eMR7fE2w7djjPLl/LqXtuyQGbj2PGyGGEYdakC4jBiTnmzDDVGriUASFlhUf2M5risWVlYQLmPM2g2zcier7kmtCK0M5xc72pmRN8kebElcb1O6+cVu5ryptLzdaGehDw+Vtu5eHeXm699VZmzZpVqrxNtIn+2fRfAVIARo8ezQ033MAxxxzDSXfdzXd22ZVx3d3OtK0sEOvz7MYAQ+sLUIrIBX7KbnZFGpYi5qNQFV2CCTPDPZdVcdsSwbw0zUwN8vsluzHnjYtmDumZfm0yvpo7uGc3srxIPaYWxewP26TH1shpbYoQgdWPRQdCFtS1BSBrp3eGg80Zqy4wqMGJeU23xSX9NgFKYPqnFERNK5pfUoqMv1iRaWiz62XIrpdLm7O+QAWy60wzwLK+9Tfzs9slpWBkRzvPr1zLG355JX8+7lC2HzeGige/e/RZLrzvSQCO2HoyN72wmM8dOJvtxo3AjFKfDTudlPvbY/bPXFfjJw1sIQ1OirQmrWiZy5BrjWum4S8KTgJZH5Nme0eRNt9MU3TdDuKyIRLootD9UG7ulanDxtB2uQJtFK0p+l7P4CAfv+F61g0dyl033MD48eM3uC6bKCE1xzdOPpvovwikAHR1dXHZZZdx8skn8+7rr+f7++7HjJEj4/vrY8ebWiCaSGFc5FlSp/V1Qi9DZdvnYiJM0xMoFxXMKUEqsTi3IiF2RUIpS3kRvuK8CjZiyLYlzyymeAy4JY15EshmY6RMCOE8ptLWmrmAik6n6pJ/dozruaglgPuU8bI242XSxOU3ec5kIF333NG73BGXFDBJNCgxs+mw99daPN1nocj6gdj932rEpmbUDCSlxnAJoGJTWqKe9VVxBsxYT4FGHuWtQUJIxnZ3ADAQhLz1d1dz3uv3ZocJI7jo/icZ3dnGze8/kOXrYNHafp5f0WM8n8/IF615eQ7x2ozQFf2tWeQom5oB3qJrLkfyjI+gTI/l+IwxpFPrnl0zsutXnglzURQ8/d2+t6FUpClpVSOyIVYCeWRrqVwCsCLQt6y3lw9fczXjtt6aK/7yF4YOHdpyHTZRMW2K7rVx6b8KpABUq1UuvvhizjrrLN79gx/wrdcdyC4TJxU+U6SybkU97HY0bb7QtgpcXg1bxljSZkVwcUnhy1IzUNHqIt6qyVmroKbZc60cNJlnjpZ3Xk1QAHqK/XLcoEYx8Mn1jLbEYkrzmNNm5l95QMV1tkoR5fVXM01CMyBpAhXzfp4GJfUcOWegGCZe9mnf9juMTQ4lKbzaql36hpqAlqFmQCVTJ8c8zBsvzQDL+pBrHTTz3nPyWI7bdjr3L1hOX6POx66+DQm0+R6XHLsXY7s6+d5djzNn+gT++PhLLNhjgAlDOpyANu+3tN6/PW4aYSUGJqb5VCuAvVn/N6O88NR2nUKSoAde1I96XTJ9/PLAimv9Kqv9MJ/Ji4i5odRMS5JXx41VH9uPwXMBt9x1pJgnAZi7ahWnXH0l+xxyCD//+c+p1Wot13ETbaJ/Nv3XgRQAIQRf+cpXmDx5MqeccQZn7b0P/7PlVqk0RVKQ9ZXYrK8UbH0W9Y1BLglXEehaX6Y/U6696RcwG4XPbYSNy0V5fgJ2RLBCKkhmaqtSmivpBoI2sLF9HHS4Sn1N19GW5tvaEhdQMSkj6c6YbiSH+LmZriTqlw2E1P20Vsa8ls4nKxRwSeFdYMsEI4paP8vBBjEqFy8V0StE4Dnsx01paCB9fIK0Y7LRjDKMa5FZYVH9U2lz3oFuVytAxZlHwXk8ZhuaAS7n+lTS1l+P07MO2IV3/PlGxnW385U5u3LLS4v40B6zmNQ9nFdWQCOQvH/X2bywai0HXXwdR287lQOnj+d108ZnxqTrMEb7t/Zb0uCkEaq52SxAiUlNTagcz4Z4+CLAjwIZJOMyH6AooO1w1JcQkLxzT+ogJum1xG6XG7S+Onupi8oKxVoRPGbL2HgAKhTZuaWBi2sdMckWTP3jlVc4/bprOOmUUzj33HPxNjDK6SbKp1BupOhem8y9ABBS/ndbvl1zzTUce+yxnHbaabxt2SqEaLLJOTZ01+KbtzA1i/rgkp64NqWy2pWym0BRfkXMQp6JUytUltHaGFTIrBlMz/owexuT8hhSFwNX5KDuGq/6QDBNpsmGmV/MhBjMk/mcEDJTtifC2PQjySd7npD9rE6TZ+JTZm6ZTKICR17qv90Gk7l0gRe7LNvMy/YjCKRPKD2C0KMhK4RSEBiS9ExfGf3tCRn3m+5v33D6bzZuy1Kr49ceC5qKQq0XrQFl14cywRlaobxDUj0Rsm6wzulX3cGDC5dzyu6z2WHcZLYYOZmrn3uGa557hrZKyPzVPRw4bSK/fuRZ1g3UeeTUIxhSawfytXaabM1JEPrUw/LywaLQ5UXl5pHvhZlgDqZ/hwbVGmTH9YjGqE5vrhf2WIbseuJqT9nxYM9PTXnhd22tSJ5ZYquAxN6/MwBuI1DZ/VaTi2cw6fKnH+ecu+/kW//f3nvH21HVa+PPmtnl7H16Pzk56Y2EFEIVBEIzXKWqiO3lCgpyVbCAXMTXgl6vvhYURbGAAj+4glcRRJQSUEqAEAiEkJhASD/J6b3sOrN+f8ysmTVrr5k9+5wTibCe8zmfvffM6mvK91nfsm68EZdddtmk26cgx/DwMKqrq3HiypsR0ROTLi9vpLD25U9jaGjobW2W97YnKQCwZcsWnH322VhSlsT1J50qDVE8GbBVVPY9LIIePhMhA6VCRlymQkgP81AvdYVtsr48U+0PVMo4BY1H0EqxTMPG8hQrUyQrQYKFdyXPK2D4CbE6MYoSFdmnLK0fRN8A65i/uYx/ORJNiBAmFnCFTTGfGMnLoDoMajnOs/TiPIqCHYACouK3OCH6wZXi9+bU70PGZddtEGkV0xQ7FuacDKWQFj9CElQepRR3v7odD23fh/X7e3Bc2ywsb27Fa7178fjOfTisoRo7BoYxvaocN/7bCVjRUu/mldxrhq0hEU0B86buIQcy4TlIqHf6CPleNmKaMPcDtck0IycuCS/+DBafO+y6Fq/pUvoWBqGCR5T4nvGSn/Ba+al2kmfmu+LYiihGWExK8bMX1uH3r2/Fvffdh9NPP72kdiiUBkVSDg4USbHR3d2N8847D4QQ/NfCpahPlpdchgZacnzssEJVsdUSGcKaY/jWeRCIkEywFo+VEsUm/MpsYV1TjTDj5UdegpxlS0GxuZYLFYVkRWwrTzj40MVykkFDaVRk+byfzExE2BvF1o6w/pY6BjLzMG/kMa0gjag5YcdNaDBM3VmBZgQlb+oeQU8U1vh+snubaU4IJ+RZ573jxmtYipmhiBqzoHtLRpZ8ywoQLoMIS7G5CXM/ywhLGGLC5w0yOds/PIY7Nr6OXQPDmFtbiQuXLsT8Out9wAdKAOT94bVr7PrgNRfFAq74XScF7eXmgPcBCWN2W0i+2fWrcX301xLIrmt+oUMnplSrErZPpfgrluIrIstv1Rf+nSPWJ/VJmYR2RRwr8b0ShrCkcjlc/9TjeCOfxYMPPojFixdPuD0K4cBIyglTSFKeVSRlipwI3gJoamrC3/72N8yZMwcXP/4QtnR3e142Qf8Mk9nAR1YeDxPE819KmWL5fu0vqHOSAr1JScG/7DzfPsPUSmpnKX05mASF1VEMtvhX8C+WEfbak/U/6JxnzMEJUvZKr2FqThomsLB0Thlc6GK5WZRc42BpJzThP6g/GmTRtUxulbpYf8U2FOZx22GauqNB4fvBTHTE8lk0JmusdORpxCEohmAqI869OGaeuRcIkUV8rBV4S+h154hPw86zfxF+Dr7imLC5N+1/2RwHYaLXZ9j73uTaxv7DIig9OzetshJfOuko3HLeKlx38pGYU1vlzgHVPFoSsT+m6UZ5M6juEBSW1yEE9nXArhP+n2nh+OtEOg4Bc12s/6yOvNM+zfNe8SMo4nOUf0441yRcjQx/jP8XTSUZ2HUcdD2wcfQbP5P6v0ccDafdRmeshfKda5+rx++f75erQeXvo8L2+f0DkL4TZOfFZwn73z88go8/eB9SzY1Yt26dIihvA3znO9/BMcccg8rKSjQ1NeH888/Ha6+95pv+8ssvByEEN954o+d4JpPBlVdeiYaGBpSXl+Pcc89Fe3v7QW59MBRJ4ZBIJHDXXXfhs5/9LC5/+E/46/ZthQ8DyYM7rKAcFmHKE0lL0D+f3q8+PwQJ934PWsPUAslGGEHEr7/FMNUCkl++YuMV5mXkN84FwmsJcx30z7fdIzywlzO41V4uHQBPOr59vo63TFjxISJuOjkRKTbmQcfZp2lqkvoKyYknj01K8mbEY97FhE82TgbVkTMiyJs6cmbU/tQdgsIEFn5Vmv/nhQt+fsQ0nn9JP/g5KDZOYe81S5iz/CYMbr8XGYIEZF6ALvU+K9aHidznpZRlzZk3OptYjtg+kZzkjAiyRhR5yq4lV3hmz8gCgZerR7wG/O4l8VooaJfdj7yt8XPaYAvrjqmXIHgXE6K9bSOe694U+sX6K5Ixvm8uidOkdchIid9YiM8+cXyDSAhPFGX/IpmUERZZWcUWqKxrrnTTMb6sDQf246I//Q6nvvc8PPbYY2hsbAwsT2HqwRznp+I/LJ588kl85jOfwbp167BmzRrk83msXr0aY2NjBWnvv/9+PP/882htbS049/nPfx733Xcf7rnnHqxduxajo6M4++yzYRjGZIZkUnhbRvcKAiEE11xzDZYtW4YPfehD2D7Qh88cfQJ0jVvZ8hGWCbPzDiEIlAJKJ2auxeBZIeO+8yZkrM1+9UyF6nwqECZMox8mOi9+QnhYyMY0jElbKXbRYdrAytO45rCoPFYF9jHijeDE7KMpCECLR+JyyqbevTEI5GGErfKKb/ToR0gK0wVF6yoMCeucY8KS6d3kkmmZWL/z3K7yrh+K5hGiXHLCjS/rL9iYeqMhmSAFc8ODRfviN3f0MyHi2+/kR2E4WBF8eew3oRTQ8tDhBjcotnov7l8UxveAv4bEuS3Vx6iU42HS8r/F9jHi6gj6NlnxmE3RwkUW5xq0jxNQGODuI0pAqWD659MF8d0j1g14nyfSdNx3J53Ps5w9E8R0BmXXoe2LRan97KBOn3hfrDDPQU+9IZ+JxcxnSyEHpRIJP4hjxpcv3rt8vQX3tU/99/5jI368fi1+9OMf4/LLL59QGxUmDwOFpr0TLScsHn74Yc/v2267DU1NTdiwYQNOPtndWHb//v244oor8Mgjj+Css87y5BkaGsKvf/1r3HnnnTjjjDMAAHfddRdmzJiBxx57DGeeeeYkejNxKJLig3/7t3/D+vXrce6556Jr7zZ8sXkuqssK7QyD4pM7Lw6fh00pCPOC9Ytg4pdORlj8hMhi7ZhqYhKWmPFBCaYCYfsxFeQoaFxZO0QhulTIiLPJFeOGD3V3L6aUlERU+LC0fN/cvNbeGPx9wM+vSwD8yYUfZM7z3v76a3oAXkjzrpg7Jm3cHhbsfJ5aj00+RKtIUpzxJYUrYoyc8PWzMfXck9QrEDNCSW1B0CRawfUhji0PWTjYILB+6HYbDGgeosKXW7SskESFb9tkIlj5oZivkl90OR6MxAJeLZa1Yq6Dj4rFyImMkPDXFeAlIGyODUGA9XMh5QMxyIiJWL+TTiAmxYR7Pg0LfV74XiMwKOejYhMV9mmyPFQ+H9L7tQhR8DNNC2p/EMKa7vIIer+X4t/pRwD9ys8aedyw7kk83bUfj6xZg5NOOil0XQqHPoaHhz2/4/E44vF4YJ6hoSEAQB23WblpmrjoootwzTXX4PDDDy/Is2HDBuRyOaxevdo51traiqVLl+LZZ59VJOVQxMKFC/H888/j3//933Hpk3/Ft446EYsamj1pxIdZEGkpRcicCKEJ+yIXhUkgWEMhfVGHWNGSrYiWgmLanalEqSRrMqQsiBCGKbfYy9d77Uh2eKau4GOS0omKU4YPUeGPi0SFtZPXqsivk0JneaveYqTE+7uYwCPzufCYT4GZdrjCJy948j4GohaFaUx0YfyZFsWkfCQf77x458Yqj80T4N1Dhe+POLYixJ3tRfKgwbT2+wGFbgc94AMkGFSzojfZK/zF7vEgMlOMtExUWxn03ChWZpAWRmZKBcAxI2JBE3iCwGulAP7eLSQFBhVX1F0C6+6P5fMstA/zxN9PsJdpT+TnreOMPPFk21u25NkPb4RBQr3O9SyNLFBHKYRDlj4MgQlqa7G0su+APxGZyLtcpnWRaVw6R4Zx3RMPoay1BS+++CJmzpxZcl0KUwsTFOYULJyyMmbMmOE5/vWvfx3XX3+9bz5KKa666iqceOKJWLp0qXP8u9/9LiKRCD772c9K83V2diIWi6G2ttZzvLm5GZ2dnRPsxeShSEoRVFdX47777sN3v/tdXP7f/42rjj4R5xy2DID84cMekJONjCV7aE6FCjGswB/W/yPMeVF4DvNC8K4e+gsdxTQafuZtQSQrSLgJq62SQSSEYttl5hjObxDpaicge4F7X3Ay21bexIsnKuwcT1QAQKOuoCq+LB2hjARv/sgLeX4mYP7j6x/NS2yH8xuuT0lQXncl3N5Yr2AlvHBjRpMjJPwnv7GmRoI2G3SFfqtOZwTcuaPeTfOYORg/D1Zevk6OaEpIKz+nDJ55gQmduPbHsqhvTt2smSHnRIzkVurmr0GkJkhbJkMp97Hop+XMueTasNJzvkyh71mnZdKjIjmRPUuDyKmsLX6kRGyrQQvbHPRMt649zSEmPApJivd8KYRhIpBpNSdCUIqFB2Zp/Ey8Jgq+rc+378bXnngYF/6fj+LHP/5x0dV1hX8O6BSRFHbP79u3zxPdq9g8X3HFFdi0aRPWrl3rHNuwYQN+/OMf46WXXkKxvQAL2kFpyXmmEoqkhICmabjuuutwzDHH4MMf/jA6F87ET37yE2z+/Fd880zUbhXwJzh+tqthMVGNxES1IUGapCANFEvrWbXytaEvNPfyI1gyEiATpoPsnEsdC9aHoPb71R28yukVmADvGPKrsrwgILV9psQhKiIREc2ymMaF/Rb75YRC5UiNrG8mvCZgfBq/NoYRLIOICS9oAu7cO6ZdAjkB4PgWiBoUpx8eLYpXeDMpoBO/614ThB5wabzHZJovQxh73iRMLM/PXKSYJoMPIVvYfq/pWRiIc8HqKNYGp+4STMZKaYsMBQ7/3H3HfJT8rgueuLI87HipcPNO7NktEgtRSOcJbTENBBO4+eeNn5bIfuoVtIc41za16xXJl//1KsLPP6egTo74hMlTTEPiR1Zk0O1nXDGfk1KuDZNSPDazFt+56yH89Kc/xcUXXxw6r8K/HqqqqkKHIL7yyivxwAMP4KmnnkJbW5tz/Omnn0Z3d7dH02YYBq6++mrceOON2L17N1paWpDNZjEwMODRpnR3d+OEE06Yug6VCLVPSonYt28fLrjgAhiGga8sPAJtVTW+Dxh+FWUy5GKq1Mh+QmMxQUFmz1wMfqtu4oobj4nEgy8FfgQgqD7ZanUYBO03UqxNfvbhGqEenweZ0MG0IOJ1JxtbPg1v086EU/e4dwPHMBs/htmRXDxebMO+YHMQf2LCfxejkTlEpWA1XPMIogA8pjy8D4r17yWLPEGU+aaFudbFvVX43/x8We3lyIM9b3w+WT2yuRLPiZA9M4KecbyAVuoiS9B+K3x7/BYa/PrArukgTQ5vApi3Qw6L1wQjJyydqFXz03SxY0H71jjtEK71IIFWRkDcc8HPvrCQtderteXrkefxf5/J08hIQeG7I7DZoa67sJsXT2Y/LD+EneehdAr/tXYN9pk53HvvvVi5cmVJ9SgcPLB9Uo444ifQp2CfFMNIYePGz4baJ4VSiiuvvBL33XcfnnjiCSxYsMBzvq+vDx0dHZ5jZ555Ji666CJccsklWLRoEYaGhtDY2Ii77roLF154IQCgo6MDbW1t+Otf/6p8Uv5VMGPGDDz11FP44he/iIvvvBNfPnYVTp27UJrW+0IqPB/2QSZ7yQGlv/SDzF2CbMvDOFOGSVvsRSIzW5FU4EEYu3M/ohG0KihLL5Ynwm8uPIIaJ8SIQgoz/fFrh0H5vshfbH51y7QtMoE3yOGaCAJWQf9DrnqL15tbrr/QyGtdZOlkQipPOPzSs7IMLqJXMdMh/nqy/r1p+chd3vSsL8TxR+HLZOPqaE2E54aV3x57Ck8ABI92h3i1YrJrnDcN4s2/nI06qVeIF+fSqxVjKLzG+L5Z5xAKfPs817ldNN8n0/QWymv6nLLEe1BivsDXx/LwkbpkzvCiGaYpHBPBHxd9QmSCaaGpZnFthwxBiy2TMUcqXAzxnud9sorVwp/3tpNw71LvMfde4dskK9v/XVlswWAi4xP0bJ4oSdzUeQBffephHHPSibjvtts8TtEKhw4MmMAUaHyNEsr4zGc+g9/+9rf405/+hMrKSseHpLq6GolEAvX19aivr/fkiUajaGlpwaJFi5y0n/jEJ3D11Vejvr4edXV1+OIXv4hly5Y50b7eDCiSMgHE43HcdNNNOOWUU/CJT3wCGzr347PHnYSYXjicMmHUdYIMJhmy86KwGVY1XgylakuC0hV7QYttBwrb77f6JvOHKAgJKiFKsheNR9AJqSmRr+KTApLjfWlSj5DgCjPeFchg8y7/+sVV+6BVSI8GpcSXr5/mzY90FCvLz3xLnE/meB/UJvG3qBGRpRd9C9j5IBMYPi/gzq1JC+3r2XG//Lz/SjAxgV2Xe4x3nBfbxAgMT1TcsgufG/y8yTbqBAADuttWiQbGkzaAHBrUzRfktxSkCeHP501ZRC4xAhnxfGr8tVpAJN3rgV0Lhieal5ecyO/r4osYsjTi80NmsidDWC2JqOXwSylrp9dkqrgWkNVXyhNG1p5iBEH2/vML+12s7IlqTYIw0fey91qg+J9NL+LWl9fhv7/zHXz+859/U30EFA49/PznPwcAnHLKKZ7jt912W0nmgD/60Y8QiURw4YUXIpVK4fTTT8ftt98OXdeLZz5IUOZek8TOnTvxwQ9+EJRS/N8FK9FWXVOQJqzz3EQeaEHllqRlKUJO/EyQSi077IsgyO43SGNRattKwWTKF4lQkIkgnybshk7spVzM1Et23jlna1SKmXvxZcpMvsTfvFAaBqWQJz8CAhT6FQCFcygz7+LPs/yicMpveMfKlWm3CvqGQjIjnuchmyuRbMrKEM3BAK+pXlCdYbWqvIailEUL0aF4sqv7svZ7yhJWJPlxMIXrR0ZO/PxN/LQmhZoz/7bLBGrxvFiue64Y0REDaMgXfoDi7wo2Z34La1P57C3lnRbsLyLP41dH0BhMhqyI5ZaiSRlIpfFfax/FPiOD3/3udzjuuOMm3A6Fgwtm7nX4ET+cMnOvLRuvCmXu9VaG0qRMEnPnzsXatWtx7bXX4uLbbsM1R5+Md81f/E+rP4gAiatgxYQJsdyw50t56MoIi0zbwb8MxT7KVvdErQhvPsMjLHErZoZRSn4AnlVzHsVX6lk6/7p40yKxv8X8BYQDgI8g6yTxWeEOWvmW7aMiQyjH+IBzPCkR88jMXfwISqHgWpygBEG8voPn0nvdycykmGDrCsHifQSPORgf8poX1/00mn7mkmJ/eA1FKQEl2L0guydkJmrFINOuesoSzNYoJQXangLTLcm8s7rE7wblTZrcPhU3by3aNQ9ErQ8P9twL0niUKmiXKshPtJ5iCGN+VYqPykQC00yGSJf67mXYcKAd33j6EbzjlFV44De/KQgNq3BowrTi+01JOQqKpEwJ4vE4brzxRpx66qn4+Mc/juc79uELx52C8ljMSRPmpRtkuhVk5lPMMZHlDStMBbWNTxe0ahdUpp+pWimCCZ+fX+ErXOX01unXlrB9F9MWewFNxozM206xXPd4McEh7ItX58bCswIr8U3gTdzCCC5B/g0MYQTdIP8S/refWZ6YXjRrEtPIzHsKTX3segPqdNomCtTCb35lXSTqAG9e5k9gHZMx+zhPVngyKXtuhOkDII6hD9Hm0hRqNySCZsjnB9/esHACHsBrtiAjJnx6UWPCCCrgLl5QbgYDw31PAkH3GRsHnqiIeWXgF6/EsoLqkc3JZM2Nw6C470hhHlm7wizsBeXny/FrW7Fyg8rLmwZ+/fI63LP5JXz3+9/DFVdcocy7FN62UCRlCnHeeedh06ZNuOiii/DJpx/EdctOwNKmFk+aMA+2sCsuvIDsFXQKhY/JCssyzclETZPEMRBXcvkV4bAvCbH//JgEaRPCtLXYPIUxw5ClCwuZ0CF7IYddIZTNJbuODGrtKs52Nwf190ERiQq/gh3kn1Lq/hgF/SkiNIsmOI52TVg95/OJwqqVrpCgmDQcQSmF9BZe/16i4j3n3hsiUeXn0uPbwpGVoH2FfK9byfEwm7mK572BFQpDh8t8k8S8Hv8Zn3tTTOtnwif2Q6ZNY/cEg2Gn2T/Uj/bhPhwxbSbKIjEnupt8oUZu4sfPYRD450wYQiGSCXERhS/DTwMbhKC0YRaawjyHg56VMpOuUsoGwptgh16E8bn+i9Uh5ts/PIhvPP0IjJpKPP/Ceixbtqxo3QqHFpQmZWqhSMoUY/r06VizZg1+8IMf4MpvfANf+9rXcNKOPkQkb6lixCHsQ5QXSPxWjoqVEZQ+yN7YK6y5AlRYFNN08BqSsLCE0uBy5Xn8tT5WWwuFexHF7NPDtSX4fJiXpt9qqp/JCL86zzYNLJWocIVZdQX4NjjtnMBquJSkCNco8y/QYEpNe/zyigQlCCJBmaigElS2lb+wnWyuZPMp3jMi2S8Wzc/TjhLJyFTAqZOvi1qkxtkIlREvuP1xfF0E7ZNM6yO7BkQNMfudMzXohCJnGHi+fSd+v+VFvLh/NwDgpFkL8a13vR8G1ZA1dST0nJPX++yQBD7A1GhZ3Drk16EfQbHqD9ZOiPlZGr8ydV/iFFxHYX2l3TNhyUnYe5G/r/wWA8OglMXBR974B3744lO46KKL8P3vfx+JxOT9GhT++TAIBYqE0w9djoIiKQcDuq7j2muvxWmnnYaPfOQjeKStDbfffjs6v/0z3zyyB2ExrQt/vtBOPNwDOcyqf3H/lODfYpnu6p1XoPIzH5rIy6GUCDQygiL6u2icEFRMKBWFSdnx4DYVF17Cvmz9/HlEELjO8iIoCLcaX3xDPacOoaiglfHA8gShuphJEu8ALZr3iPnlPirFFw+sOWLXAbW1W94Oy64tGen188Vy0/F1u+lE3xRvG61Pj1aFujvYa1weptXgP/nxYPUVQ9A9KteoFde+8DC49IbYRkaMBY2Sp7yA68ZPO9w+NIQ7Nj6HB1/bVJB3ZnUDPrLiHTCohggxoOvufSHT3vLzVMzHTEwT5I/izSsQNIFMTETDLDvPP8NlezXJ8obVwIjhuWXpJoogDYrf9WLV6V2Amyhp4ctlGM6kcUeuF4+88hzuvPNOnHvuuSWXqaDwVoUiKQcRxxxzDF5++WVcddVVWL58OW666SYsXPtqgX0pe2gxswLrwe8VYNhqsN9DUfbyEh1TRVv4YpDaovvkK2U12U3LXnRebYP4ki5m1lDYbreeyajq+XqMgD08ZKTETzvlar6oQwzkbeJf7qW/DEWyG0RyGQFz8lJ3B3q2RTRv0sWIiivUF0JmxhcUiQsoElWKI4d822Vl8X4mofxEJCvtsv7wpIB9MtM7WahhGdGUXWvivR5EZvl7RPRN4dPzWhSWjzf/YkK+61wuJyilLFYEaXP95rUYWS39OcWTDM0jkPtrOd3jOZPi6d3b8ZfXN+OZvTs86Rc2zgGlBo5qnYmT5yzD9Opm1MQyMCkt2OOI3dvuM90dk2ICrij0i+ZZfF5+fPwWW3joxPQ9F4RgR3T/8kpdKOO1QbK8U0Feghb/KAhyprVBq05M6CQgGmKARomVLXvu81jfvhvfe+UZLF++HJs2bUJra2vofigcmlDmXlMLRVIOMioqKvCrX/0K55xzDi699FIcXlWP/zzhdNSUJQvShnE890b58V/plL+AJrYK5W/a5J5nO6EHEQfxQe2+yNl3RtbEF7189c8y66G+ToVhVlLDmDcwQUPUrrC0YfwS+HND6XE8tuNVvGv+clTFEyEIi0vk+GPAxEyJGMRVfVGTZYKA+NiYexzhaWGI4mKCtwhrPuVEsJjjtl+7gnwR3PT+pMivnf5ERZrF12SwoO0+Yy0nWtRDVLz1ud/ZvaMRcPcRd5/yq/tMKTEhgiJfACkmCAdt4Cmru5jg6kdEZJHExLQbO9vxrSceQjqfR+/4KADgjAXH4D1LTsX8mnLEtbxANvKeZ4Nf+UGBTCayEh9WqyKiFN+8MGZoxcqZDKEo1ZeDgSeJxcaX1zplTR15qiFCTEQ1EzoxfDXLYl2y4yYlMCTPaNbuTD6HX2x4Gg++vhk3/OiHuPzyy5Vz/FsEFAZMGFNSjoIiKf80nHPOOdi8eTM++clP4uJHfo9rVp6Id86c55wPdLSlFNt6O7Gpaz8GUuOoisfRkKzEjOpaLKhvRkSz4/l7nqfuSmqYza1kAiv7XkzYd52J/UPtAsTJxQvEvGqfb6fBVOzUsnPmCYtBNRiUIII0zvvtLSiPxXFc2xycMXchVrRMk75gZQLXWDaLtXu2Y05tPRY1NIJwO2/LzUDkDtN8WlGAYL/546lcFj9/fg1+/vwafOfMD+Po6fOs8bHHggmVfivo4thbx0sTdmQrzB7/EmoRDoNq9gq7lUuztR2ettnjJoYZJkRu6iS/1uVmd2FCDsvS8/PCHy/Fx0JKcgQBPCxRmehKrwxsjkRy7+YvTCs62YualgJNl0TLENZckT/vl2eimtxCXw//csJojimleGH/Hvxp2yY8s3cnPnnMyRjP63jwtY244axPoL4sCgIKneQc53igUDPiF1krqD9+5q1hUGxBJOj5LjOHC+sbU0pbS7nmxTYV0/7K8oooRlCY6W7O1KARioSWL1gs4s2wg8DeDywv/6wT27ytpxPfeuZhNM2djY2bXsGCBQsCy1ZQeDtDkZR/IhobG/HHP/4Rd9xxBz73uc9h1d43cOUxq1AZL5OmpyAYSqfxpUfvxc6BbixpmoXaZCV2DgxhMPUG9g71ApTilDmH4fJjV0m1M9YL1voe5Kchmg3w32WCikx7IHuxiI/2m59/FB3DA/jiSWehNlEu7TdgERMmFDjl8qu+lGBteztMCnx05Rl4of11XPXwH9FUXon3LVmGdy9YjKp4mYcAsfbet20bfvzsw0jnc5hZ3YC+8RHUJZP40LKjcOb8JaiIxQvIB19GOp/D9t4uGJRidm0DquIJ5EyKjpFBEBDUJyuQiMaQNwn2DQ9gW/d+DGXGkDfyMKmJjpEhVMUTqIwn8I3H/4BLjlqF9y05BiA6mP8AC0QgruYxIlcopIQjKjIbcVk+rx+K66hsUOak7Elspyvcj4KHP4G180NOGsJEA/OL7uUXxYmlCwMZQREhCjLFzB89bS8iyBf6qLiCMk9WrGPefLyvGq+VFO+LsCvnsj7yPmVB/fI75qcp8QtmwddVCmHxtJ1SPLV7B3714lr0jo/iXfOPwMePWYIsNNz6wr04cfYy1JbFYAKIEdMzAyJBAeTaVva7FOdpvsygNAx+12aYshhK2Vy0WLsmYpbqhzA+fyKCTK548Oa7Uc30LNqEqc/PlzFornOGgds3Pot7Nm/Al7/yf3HdddchElEi2FsNlpmWMveaKqgd598k7N27F5dddhm2bNmCLyw7HsfPcLUq7KE4kknhvn9sxK9efBI3nXcFGiqnwaBAnlq21joMdA/twR9efRKbOvfihJlz8c6Z83DCzHmo5PZoEctlKPbylPla+J1n2g3inPMinc+hc2QYP1v3EDZ27EYiEsP7Dj8a75w1H7NrW6CRGPpTo0hGgPJYOQgMtI+mUROPoyIWBeXaO5QeQXm0DJ/7yx04ftZSnHHYqciYGgwjg5f2bcITb7yA3QMH8I6ZS7CgvgVxHSDIoWO4D6/19mDPYD+uOflctNXORjJeDQ15vLB3Ix7c+jx29ncjquuojMVx8pyFWDltFg5vakVdohwUBGO5HD7/l9+ie2wYOtHQOz6CRCQGCoq8aYnCOdNAbVkSsUgEA6lxzK+fhupENSJ6BDoIapPVmF5di5XT5uHAyBB+9uy9iOkRHN22EMloDKlcCjnDQN7IYCSTAkBhUArDNBHTdSSiMdSUJbCgvhmnzT0M8UhUSj78nFZLdpwVXtxsV3q/cmV5pgphNB8yghJWSxDG50u0M3e/T6z8Usx2/NrHk9mg/SLCXAeyAAB+z45ieUUEmYQWy8cjrCmRbGw3dXbgh88+js7REXx4xYlIljXhvs1PomukFzNrmrCwYRrOXnQk2qrrnLr4cnk/hWII47cQlFeEeB0GCdBiGfK5L97+YghDGsJe4xO9P/zyiVYEfgsAB8NRn103GqHY1tOJbz+7BsmWJtx+++044ogjJlyuwqEJtuP8jJVfh6bLF55LgWmkse/lb7ztd5xXJOVNBKUUv/nNb3DVVVfh5OlzcYWtVekYHUY2n8N3n34Yr3S2o6asHDeeezkq4rXIUg2jeR1Z01oJqozkURvNYF//HjyzdzvW7d2OfUN9WNjQjOaKSsyva8RJs+Zhfl0jYK90/+W1LegbH8XiplbMrK5DTaKiwGQEKBS2gh7kXoENuOvltXhg2wsoi8SgEYKOkQFENB1ZI4+TZh+Ocxcfiz9ueQ6bu/ZgJJNCVI8gZ+QBWIZhGiEwbF+HGTXNKI8l0D06gJyRx0hmzKn7R+d/GdFYDdKG5nkhdY90YsOeFzEw3gdQA1ENaKuqwZy6aVjRMgs1ySpkDB05e0WtTDOQ0PPoHOkFNbPoHhvBU7tfx+aufdgz2Iu4HkF1WRJD6XEsbpqB68/4CKDFMJbJoHd8GHmToqFqGpKaiXRuFL1j/RjLprG0eQaglaE/G0PWDmWap9YO1ToBciaBYWbxwp5XsKN3Nwwzj/JYHBEtimRUR3U8AU0jiBAgqmnImgYyuTRGM6PYcGA3xrIZ/PYDlyIRjUnnKEgo4lfUg4QRv434+OPF6p1K+PtIebUlYfbA8IPsmjcDyuB9rsK2txjCmPKFIZzFoi0FERggWCsUNO/FzHWK9avYokopgiUr66Ht2/HtJ/+Ci444ASumL8avX3gM2/sO4KzF78T7Dz8WNXG9oGx+3i3NNK+Jkl8nYfony+c3B3wfxDb5CdKi759Ypt9moFMZFvlgw2+M2PXjR1JE+Glc+DLD1C8ia+Rxx8Z1uGfzi7ju/34Z1113HaLRaGAehX9NKJJycKBIyiGAffv24bLLLsOrr76Kj370o7jpRzfCcowl+P8+cAVqE+UwqIa0qWPciGAsr9sRSABCLKJSppu2eRTQO9qD3X37MZQexGvd+7DhwA5UxsqwYtoc1Ccr8IfNz2F6VT3S+Sx6xoYR0yNoqaxBY3kVasuS0AjBkdPn4vS5S6BrmlSwEFekLEdBy5H90Tc24YdrH8A33/VRaERH3qRorWlGbVkVcpSCQoe17kuQN4H+1BgG02lUJeqQM4GxzBjypom68lqMZ8exo3cnxrNpNFY2gxAdzVXNyOfTiJAMqpMNzljkTdYGq62EWKueUY0iplHEdRMRQhHTTJskWESBrUJHCUVMMxxTs6ypwwSQzqYxmBrGYGYcFbEkWiobYZAIsqbmCKc50/rXCWzHS8skiu0bkDU1jOctQpST2Ck7RjmEOsZNrP0RQlGmu21OaAYqI1nEtRwuf+BOdI4M4dQ5i7CytQ1HTmtDbaLC91rzE1KDhCPnONOe+GhMJuPEPxEE+a/47RzupPUR8MLYnosaRplp4ET6ENZ0iU9bjBSwNEE+acEExyuM+50PKpdBNJHxe5awY35aAuYnEPZ64+fmE/ffgzPmLcHy6cvw2Qd+juNnLcUnjjoVNWUxKWEQ51Un1pUVLNQWmrnyKHavhdFGiYtCIlj9ro8bhR9BCfI1OlQISzETSHaOES6//VrCYCo0m5RSvNyxD7/c8yqi0Shuu+02rFixYsJtUjj0wUhK28qvTBlJaX/5W4qkKJJyaIBSittuuw1f+MIXsHLlSnyi+ShAr0B5NIKYZiJrakgZOjKmjpShgVJLEMubBHnKR7+yyjMosYVlAGYW23t3Y0fPLoxlRtFWMw2r5h+LiEZgmhkMjQ+gd7QXA6kRjGZGYZh5/O2NV1AWjeKilatw4qzDoBHvaqIovFi28QR3vfx3PPTaS7joqDNwyrwjQSlBztb+5KnVXmdDNrvNJiy7+pypIWsSmCbb2dlC3nQd8/kdp6MaRUSjoNR6UTOSwtJb42Gl0zX7k1h5dI7ARO2V0ZhmIqpRzyqcTCA1KGwHfvYPhygxEABRzSqXkQ4TLplj/eTHghCLmFi/rT4y0hPTrHKSEQMJ3UB1JAudmBjL63h5/w5s6dyKjR17saO/B7Nq6jCvrhGza+rRVl2LGVU1mFNbj/JYHH3jY3hm704c2zYLLRVVzhixeWWQCVJ+GhXZuX8W/MIHS3eSF1aixWP8cU8dBWm8x2XmXwcLMu1HMQ1HoTbNm9ZP4Gf3QRgiJNZVqn+UiDDaMpm/nJ/m0KQEj76xDd968lHc9v7/wMu9Kdy89m785gOfQ2U0In2myUgKS6cXPP9k/QsmLH5j7neO1ceuM8odk5WtT4CgyNvim2RKMVHt60T9YcT8DCYFRrNpPLHrNXSODOGMeUswu7bBM258wImxbAavdLZjW28X9g0NYPdgD3YP9AG6hq985Sv40pe+pLQnbwMwktK68stTRlIOvPxtRVIUSTm00NnZic9//vN45JFH8L3vfQ/5x/qgEc1+6VjmQXlKkDE0ZEzr0zIZItA1a9VdJ/x+B5bgG7HPiarviC38EuIlDdTM4YU96/HXLX9DbaIc/3ny+zC9phGUEid+vFgHpcBPnnkAYzkDlxz/EYznNY+zdN4WzkVtByuDEQxGMkwAhkkcAkKpEKXIEdgKo6mIL2C2mqwRi7DEddMhOWxsotz4WePB2mjvDwI4bWfkhDn3s+/83eQSDgrRmo4nVAyOAEqsPjHNiaYBMZtgRTWKuGaiTDedPiX1PCr0HMr0PIbT49jS3Y7dA33YPdiLA8ODaB/uR39qHDVlCWQNA7WJcnSODuGIluk4e9EynDBjLqrLEp428AhadQ8iLpOFjMwy8GSV/w0Ek4cwmhIeYtAE8bhYD/stjsJk5LxStCZ+Ph9BRCXIZEy2MBEEP82An2+CrC7WD75NsuOiViVnWqZaXaODuHXDc9jcdQDnLV6O9y5ehpvXr8WDr23Bf51+FmpqjwU1c7jhiV+jY7gP15z8fhzROhs6TCnpk7VZlq5UTSKfO4wmk7WFXV+887eYx3p2mAUERSxL3i4vOZkImQzCwTQFFVH8fvem2zPQg99veRGPbN+MObUNeK23E80VVbjs6FOwoqUN0yqrYJoGntqzHevbd+H13i5s7+tCS2U1FjTMQM4E3kh1Y8GCBbj11luxaNGig91FhUMEiqQcHCiScojiL3/5Cz796U9j9uzZ+OUvf4n7vvxXAO7qHOUE4/Gcjpzpvrx1Uig8EgC6xlbXXFLCC886R2YiGkVSNxAlady/6XHcv+VpfOvfLsOCxlnWSxrWizCmGWgf7MS+oX4Mpsfx7J6teOnATvzmQ9cjjzKkDN0xhWLCfN7+zTQR7Apk5IJfnaS2IG9QYhMWm4BwQqq4C7BVlldwZemI3Wfd0aqYHqKic/1n48jGnAcjLUzrwzQ/jFTx7WMkipEP1j5e68NWXFk6Jn5otpYnolnlsLbGBELFm7GxfmoEiBATZZqJ8cww+sYHAVAsrG/GWHYMj2zfhMd3/APb+7pRXZZAQ7ICLRVVOHr6LFxw+EontHVY23o/4lIqZM7xMgHW7zyfxs9kCPASW17o9QNPVETbd1mdE9Gq+AmrpZo2BZl+WecL6+DzycxrZKZffuZesvo1biNBSgnyVJeSKlY+E7LF4zLSYGk4Nbzc2Y0vPnQ3jpmxBBXxcvyj8w0kozoiGsE1J52NxopG7E8n0ZOJwTAp1u94HOv3vIhfvPcKzz4oQRoa2TXiR878ND/eeQ5n4gUwDTOxg0HY+YUFpigxHJIitq0UzUkxMiG/t+ApQ1Y+D8M0oWuSUOLCAhN/PJXLYDyXtQOJRFBTlgCItwy/UOD8+f7UGHb0d+PA8CA6Rgax4cAu7Bnsw2lzl+DcJe/AYQ1NeHLnZtz20lrsHerDksZWLG6chnXtO2CYJlbNORzN1W2YXT8HIFGsi23Ho48+iu9///v4+Mc/Dk3SL4W3LhhJaVn5JWh6fNLlmUYGnS//v7c9SVHx7w5RnHXWWdiyZQu++tWv4sgjj8TRM07CO+adgYjmRu0ixDaFsn8zAT8PcZXNgkY4bQJh5kTusTyAvAlENIIymMhrBDqJ47jZR+L+LU9jND3uCHIRYvl3jKRHcfn9v0RTeTWmVzdgWnUrvrDwNIwZSWRNDXlKkM4TZEyN00BYhIO1lwn17Dd7AfOkxCIz7nce4p4iIsSXqSXYU8ekiuXX7Ti7EY0iqpmIR0yHuPBj6CVRbh8Y4RLJFsvHzxuEvO48EaE+61jWdNvOE5OozmuBNJtcucQoQjRkNAo9Uoe6qjpohGIgT6FpSZyy6AycvPBdGM2Mon+sH0OpYXSNDuD3W17EPa9uwFGtM3HKnPk4adZcwDcMsBva1jlC/Vfd/RxdgxBW+A9juiVDoZDMjnuFHe9GqrxAZ+1GrxPvniTMJChIe1CsLX55gsiX+N2vbFk7GGkQTWj4vH4mZkFmYwWLJoQiAsN5OHlN5XgNmKih8tabM92d3rOGhp88twbnLnkHzl66Gs/tewNrd72CjBHDj875FEbNCmwb1TGe15A1CExoSCRaQIiOHCWIQAPsYB18/8VxCtJM8KRVfE7xv8VQ0Dxk5mYycmKNo73YBAoDmv2d1aE5ixVBdbA+hSUnTt3wXu9WeYVpRAymx7Gl6wCe27cTD762Ca1V1RjNZvHRFcfhwqXHoGNkEA9v34yNHfvwRl83hjIpNJVXoqG8EnsG+jCWy3jKq4jFEdV0XHLUSThv8ZGglCJr5AFQmKaJrGmga3QEB0YG0TkyhJ0D3Xj5wF70jA2jtaoWbVW1aKmowoeXvwMrW+eBRGoQJSaAPFbNXYpT5h6OzV17cftLa0FBcNnRp2LhtBVIm3GM5ymefGM9Htr2GM469yxs3boVLS0tocZPQUGhOJQm5V8AGzZswGc+8xm8sXUHVs0/B3ObjoAJr/07m0RKgbypOb4fOvcSAgrNpJhArDvmYNbLiplDJSMm0ulOfPWvP8G8+mmojJfjxDlH4JiZS5G3hfGfr70LWZPgY8df7Gh0GJnIGhZByRmWvwlvtsX8MzwmWnaf+D0zXOdkZl5VuNruhsT1jp1n9VuSRxM0SjxhYf4rUc1a0Y3ppkPomLaDEURXg+IlVH4CqlfgdQWcwD0LOFKpc5ofdowRlIiHhNohU+HaqfOkzrtSbrUlZ+SwresN7Ordhad2voyYTrCwvgX1yTgMkyIZjSOqR5A3TZTH4mhIVmBGdQ0W1jehktubpqD9JZqdBPmSBDkuF6vDb7W/mEkYIyJ8mf7mSv71+yGIiIgah1Id9UXfBF4gDTNfQU7u/HE+nTjmzGyS3avjeWs/IssZ3T94g2vi5H3msWvAoAQZM4K7X3kWD27bgJ+d/xnEI3G80L4TP3z6dzh5zjJcetw56EqXYTCnI2dYJrPJiIk3OjdgzdbH8bPzP2XfJ8H9lEHcINRpt0AmnHaD9xUR8vjVQQkMaJ4ydW4++fuYjz6mc9orlpaRafG4CH4+OkaGkMrl0FZdB10rvrZJKcVQJoWO4QG0Dw/h9b5ObO3uwO7BXgymU5hZXYeV02bixFnzcWBkEDc//wQyRh7HTp+Nlzv24fgZc3FM21wsbGjBdY/+AXnTwH8cezoWNzSjsbwSyVgMQARZI4v2oT58ec0f0T02jNqyJAbS4wXtqYjFLTJSWY0Z1fVY0TILixpnIBaJI28HpclTDVlTcyJnsrGJaZY2mhCKccMKmDKS0/F6z278ecufoSc13PyLm/Hud7+76LgovHXBNCnNR1wzZZqUro3fV5qUN7sBCsVx1FFH4dlnn8Udd9yBa6+9Fps61uPEeeejutxdsSFwiQG/Ysf8RZiGQqMUhHACsWm/jExL6rasuilSeQ0ZAqQNDfFIK7559pexuX0DskYGNz97L64tS2JuwzzkqYYT5hyNO154AISaAHTHb4b5lxim61/iECjOt4OZTvGCvZdc2M71djkym38w8yrJ+Pm9+EmR1WYNcBzuI5q1pWBEMxHTLRMxltY1FfL2gbXbuwzACQecRoWdE0033HC/Vh+prQUyKWAQAs2kThQwPqIYM1fTOFLCExeZn4zr4K9jXvNSLJ62BOcvOwN9g1uwd7ALe0cJ6sryyOZTGMnmYSCKzvFRvNRxAPuH+9AzNoKF9U1Y3jIdx7XNxjva5jimHBoJ3rU5yIRLds7Pb8BPuJSZoYiCv2vqI28jvymqya2Em9Stm9UramHCrk5PpM9BWhOZOZ7fijnf/iCCIsvLEzbx01MHoTCpxpnYeeuX9Y2ZcvHIGQae27cDT+9+Hdt6O0EpQe/4CL5z5kdRHouCUhNbe/agMm5tcJunVmALnQB5AluTS0BIFGPZDPKmBmjWpo3E1l56+hdi+kSyIr/H3HkQI4j5QSQngOtzwsqxWuwNNSyST+vZwEhL4dynclk8vWcn1rfvhqZpOGPuYrRV1+KmdX/D2j1vIGcaqClL4tPHrsK+4QEcGB5Ez9goRrNppHI5/PvKd2BLdwd29vdg92AfxnNZ1JQl0VJZi3l1TTh9/grMqW1CW1Udqsri9rtKw+EgMEkFNnftwfz6FlxxwllorawFtft294eucsbBfTZa/YjoCcyqa8N3zvwItna3Y2ZNAxrLK5CM6ogS+7rUYojqMeSoFbo/b2owQDBKCYwsuzaIs4jG3qGutt2eB2pZLgykRvDI1oextXMTvvq1r+Kqq65CPD55oVThrQG1mePUQmlS/sUwMDCAr33ta7j11lvxuc99DgPrGxGLlDkmN+zlKwrHjBQQwkV+EbQGGuEiUgkmRUndREI3EdVM/HXLo9iwbwvOX3Ya5jXOA6UUX/zT/8Olx38Yh01bgYwdpStrWCYYFBYZyeQ1ZA0NOVNzNCei1oE352IaE56YmBRe8zZubEqxAA4bsUYD067Ao7lgTuwRzUREpx4ywZMTNu4MxVZmCwRHj+bGnTOmEWMr+7yGh28nAdy5trU/rp+MPFQnr9mJaRStiTSqIjnk7JVGNj8Gtcz5ciaBRoCx9CC2de/Ejt49WL93K9qqqvGLcz8sH9cAMxc//5OJOOnKCIdoHij6pvAIa54W1gRNbFMpvjRhIdNqWL+Lp+HBj8Wn//y/GMqkMKOqBvXJctSWJTCrpg66pmEkm8VZC5c5zw6xDgZGNmR9lGkE2Pes7RDP5idv5HHJH3+NjGHg5NmL0VJZB5OaOLZtPhoq6pE1CZ7cuRk/X/cnLG+Zg9aqenxg5dkYzEUxlteRzhMkIiYiJI8frLkBqxceg/MPP865NyYDz6KCz7lS4DxHuAULGUEBGBF1CalsJ3WZFnEwNY4/bduM/9n0AmrKynH8zPl4fMc/0D02jJiu4/S5i/GxI1fh/q0b8fedW9BcUY2Z1bVorqhFY3kV9g114X9eWYdFDS04qnU2ZtdNQ1t1E2qSDYhFymDw2lq4Y5w1dcevMmtqiGoWaeUjLHrGgjI/SDccu1Q7ztWRNzVk7WuO1cUIq6PBh/XMHjd0J5AJO8ZAKZA1DKzf9Qyeb/8bVq9ejRtuuAEzZ84seU4V3ppgmpTGI66eMk1Kz8YblCblzW6AQmmora3FTTfdhEsvvRSf/exnsXXrViyuOw2Lp78ThGgegsIEZHdVEoC9mmgSy/dBAwAToMQV0HTNujA0UBggICaQIdYrJkoJzjzsFFCax72bHsf+obsR1SLImwa6R3pxeKtlbmQSSzljaBQ5w11NZ0K3aZMT1i6ZOReLpiUjJkzQs9YsfMwVClY2OUhX1v3HnfmGaAaxTcSslyn7j2mmbTrnXT0Vx583Z5ODeNppmaTZc6NZ7dbssgghMDjCQux6DI1CM3lNCiM3TDhxtU5iAAWvWQqBQSm6M3GM5KOojOScUNh56kYnMyhBRKOIR+uwckYNVs44EifNWoD/+tv/FjjGivb6xUyc5McLNSfF4M1vjQEjK37+FTL4tbfYiniY6GCyc0F1yxyxveRLns8vvXhuIDWOztFRVMbjePHAXiQiUWzv65G2rS5Zi+PaZnvMi/j+7RnsR840MLu2OaBeeV95MyUA6E+Nomt0GC2VNfj95nVOuu0LVmB7byf2D/dDJxpOmrMMa3dtxgdWnI6UoTsR+QDLNHJ37y6MZMbw7sOOce453hxNFlVOhiBiIqYJUx4DIycMhMCJQMbATLt48sHMwNhciMTbMIHdQ4N4Yf9uPLd3F9a178LhTa348qqzcdT0BchTHR864gx0jPSDUqCtpgl5U8P7Vvwb3rvi3YgQExV6DryPzPuXnwFKYnaIfEub3p3TkM+6zxq2WOK0g7IACsQhJyaFE3GSXUlR4o4v879j/WXPIfY8YecBcO8Tl4g4/o4caTGptV9XnhZaIVhEhuK1jlfw3O6H0Nhah3vvvRdnnHFGqDlUePuBwgCFMSXlKChNyr80KKV44IEHcO2114JSipnxUzGrYQUA4iEoTphFJhjaLzJd867QM4dy3daeOCvxmndDxKRuojJq7Q4/nMlgJD0MTa9AMl7pPPxNW32ezmtOJK+soSGd15CnGvIGH92LOGQkZ/us5G3NSZ6REY6U5KlFTKx/wKTBalGNi/yiwUteRCJjOoJJ8G2hgUCDtRN8hABxjrAw0zA21vzY82ZtQDhhW+PmhtcCuH408nlkc+eSE5GEuG1kh1nwAJaH+bpECEVl1EBMM5E3NYxzPkY6AcojBggBkroVWej+jfchRnL44olnePopOj+HIRkekg1vUIigEKt8XgZeqJf5AMnMZGTly0hGkNakFFM3cXy6RodQEYuiMp7wtMcwDUR13bedYaKy+aU3KcHP1z+FOzY+b58jYMECymNxtFXVYU7tNFSWJdA/Poz3L30H5tQ2o2+sH52jgxjP5XHEtNnQCMHfd27Bz9Y9Al3T8IGlx6OhvBJD6XGcNGshWqvqPXUTUPSOj2JH3wEcP2MedM0bdpwR1I7hfrzR3w2CCG558QlUxhOI6RFE9QiGM2nsGuhEc0UtLjv2LMxqmIe+bAwZ2z8uQigSuonfvnA3KmMxXHH8exDRvM8QmamWZ4644ZOlE0Os++Xly/Bovj3PKJ548CSUcv48PJkzbc265TifMwy8eGA3XunYj2193dja3YmxXAbLmttwzPTZOGXuErRU1iNr6va/ZQ6VM4lHcwrA0WLE7GdcjmpIGRrGDR1ZkyBnakjnred5zjbv5Z9FBf2GZULFL6RYJIU62qOI5vWnA7w+j4xcELt9MZ0RNna9WOAjSTqLX9SNNMlHmWR5DgzsxLpdDyKnj+Cb3/wmLrnkEkQiam1XoRBMk1J3xJVTpknp33iT0qS82Q1QmDgIITjvvPPwnve8B7feeiuuv/56pKu3oGb8nWismuMhKFZ670vCpMTZ70SjlsCvwXroAyag24v3Jv/SJbCORhDVTCSiZdD0JFKGhoxBHNMuZr/L9mghFMibFjGiJgXVAGraGh9inRftwK2XiP2dP2YTlDw1YYDCJLSo/aZmi+Sa/cLVQWzyQiEzE3Prs+pwjrNVVlYOtcsxgRg0JDUgrmkeszCZMz+bG94fxRpf65coyBDChGuW2n0R8yYObLWSCQSa4ZqIecbD0Zy4pMQ67goL7HfEJqd56gZiYC91WynhRCsazWawr2czXmjfjsuPPtHqiw9BYef4zdH47/x4uWndMmQmQvxvEWL0K43AWVl3x5M4fXEhJxF+mjdZ/TJ/C7FNsrQbO3bjC3/9rfP7/UuOxOXHnoK1u1/HN594EG1VtZhX14iYHsGaHf/Af59xHk6b6+7NQCnFq13t0ImGpc2t4H1H+PYwjRIfijmi6XjX/KX4j2NXYyybQTxibUi3va8L//vqs9jSvReLGqcjYxi4Ye2DaB/qhWGaaCyvBiEWkaCgqC5L4rpTP4ixTArP7f0HXjqwG1Fdx/9sXIu26npUxMowrbIWhze3oW98FL9/9VlkjTyaKqqRzmVRXZbE+w4/BifMnI/u0WH8o+cANh7YjZc79mAwPY7qeBKEaKhLxlBfXo2l0+bhkmPOxuzaFuSgYzgXscOgW0+BhG5g8/6N2Nj+Kv5r9cX2ooJATIVpEbUq4nle6yEjOOL9zJtvAYWRwPhyNFBEOA2VnzkX7yNlUA1jOQN3b3oef9i8AWXRKI5unY3j2ubjkiNPwvy6Jiv4BbWIyZihYdyIIG1ozuIR24+LLaxENFqwyW7WdPfr4sOquyHjAXb/0Ly3f+JzxhlXg/UfBQSHwLrv8vbmuawudi6iWQFOeNNDPsw77L645l72fFCvT+HgeA827PkzDgxtwzXXXIOrr74aFRUVBXOkoKBwcKE0KW8hjIyM4Pvf/z5uuOEGrF69Grm9S1FbPtNDTkQhlwm0or+DdY73XbHU8THdtHZm1939RBjYqlSeuv4oHlW7/QJgx5lvCu9Yz4cozlE39C7ToFjfC0lKDvlAoqIJVESH5iEuLmlhfbHKEkmQwdUh1qdBQ5xGoYMgSSJI6q5De8QxdWPlW5+iSQePAhMhTpAR55QXjHgHelH7IoJp06z2u9cE7/fCm09EdQpK4WyEWR41UBkxECE5bD+wDg9ufREZI4ujWmfgk8ecjuq4Dpl9uVUeKSDSTl85YiMec8aAE9CC4BcRTOY/UTA/INL8TLDnNTl8Wp4M8PXkTRM7+rvwem8XymNx1CcrMDA+ivFcBjOr61CXLEfOMNE7PoqesRFENQ3P79+NzZ0HsH+kDwBw2VGn4LDGabj64bsL+rq0qRXDmRQW1jcjomnY3H0AQ+kU8qaJL696N06cOQd9qRTaqqoL+iaSvPXtu/GlNfdj5bSZWN4yExcuO94Zz76Mgb+/8QqGMynEIxE0lteioXIaqsubENU06IRiODWAZERHeSwBSiLQiemY7gDAaz17MJgaxUhmDJ0jfdjUuQeJSBQXLD0Bs+pnYEvnXjQl49g/MohfrX8YY9kMEpEYFjW2YlnzDKxonYdpVa2IRhPImpZLes4kGMtbIYXZRrcWmabIGqPoGdqLv7/2N3SNdOHKE87FO2ct8iUk0muJCdyUmQ4x0kI9+XjNSJB5l9ynQtwt3oK1iS4z4XLzMG0Km7uUEQUBxf+88ixuffEJXHLkifjwilUwYZm86cQiGyYsTceoEeGCnWiOGRRvEpU1+GeP2z9K4QRJcbXicHw72DHruinsP08+RBSYqdnaEhbRTQTzryRCXjHQCmsPv08XszwYTfdiy/5Hsat3PT72sY/h+uuvVyGFFUKBaVJqj/jMlGlSBjb+7G2vSVEk5S2Ijo4OfPe738WvfvUrnHnmmUjtXoa6Cpes+O0PwuybC0xgeIdMjrAko4YTSQqwVejc5oaApWrPMWEBFhEBrP0NeEd/RlTypgbDhBPNK08JctQiKDxJYZ8mgBw1kCcGDJjOXxAccmJ/MsLiR1b8iIoZQFjiiKEcMZQRDRECRIltPgW52YMI3kTP1erIqQa/GsmbcDHyYv12HcZ5AsPbiYsBFRhJYRtIsjDG7DpIRCzTv9pYDht2PYl7Nq3FexauxIeXH4eqeERqOuXto6sVcbVLrpAfBjIHeL78YuA1B7I9KZx04DfHK9xokK+PUstkKW/mkM7l0JcaxRt93djUuQ+bOveBEGBBfQtS+Sz6x0dRn6xAeTSG3YN9GEqnENE01CUr0JCsxGg2jf7UGIbS43D3ZnFNrxgSkShOnr0QK1tnoS5Rjtd6O0EpxcKGJqyYNh/P7XsD33vqz6CUImcaOHLaLCxtbsWsmnocP3MektE4RjMp7BroQ39qDHFdR1VZEl2jw+gdH8NN6x7Dp49bjbOXHO84Ouep5qy882STrcIDrh+JRdZ5zRUbf858zdZuiaiI5DGezSJPgageB9u4L2cSpA0WzMESlnOcGSkAUDODjfuewZOvPYax7DhqElV498Ijce6S41ERjzthh4OJhD2/QhqZL4qfyZZ7Xl6PRUCo555hz9wIcW3TGfnNUx1pM+KQDquvBrb2tGP9vtexYf8O7Broxspps/D1085FZbzCDrGrI2VEYNjXe9YkGMtHkDUJUobmEI6cbcrJt5m/91lfPRoIwNn/ShaGXbYgIxI7vzFkdfFBLlibxPy81ksMXuL4xJluREkAGE714LWOR7Cvbx0uuOACfOUrX8Fhhx0mnSsFBRkckrLiP0CmgKRQI4OBV36hSIoiKW9ddHR04Hvf+x5uvvkXmFZ3OBY1vwf1lVY0EtlmhqKPg9fEwFu26McQ101HLc9fUbzAwG/gaDovQ83xnRGJSt7WthgcSWGO8rzPCCMqvEbF+pM7nmnQue8uYeHJCmCZhPEI0qpY7XDrZaXFEUMCEcSgIaZZ/itAYVQt0YeFgY9uBlikTzSBE8txtWXuS1xGXgixyCbzT4o4O9a7G3xGNOrsyVIWscxiyiIUlREDNbEcknoe7QPtuPbh/w9fPPE9OG3uYZxgKieLMu0Ic2AN8iGx+lRoqsSDN3kR0xT6frhjxFZnDU7jxqLhAa7DMi9IUkrx6w1P44X2nQAhOHn2Iuwd7MPGjj3oHB2CTjQkolHUlJVjZk0jljTNwPJpc9FS3QpKIogQEwndQJQYGM3HUBNNI2vqSOg5O3Ka1ZasqSNPKahpQNMiiGiW8/94DiAwkEcUZbrmuR7YPVemmUjoORAA23o6EdM1VCcq8PgbG9E+1IvXezuxc6AHlFJQAI3JStSXVyBnGBhIjaE/NebsPfGR5cfjkqNPR9bUkaMaMiYLN665AS+cMXX38aAgTohXfgXcG2nOnUknjDYxoRPvNZ+nmrPqnzLcUMYZw9LepA0Dg2MDODC4Gzt7tmNLx1bUJ6vxf448AyunzUA8EnfJJnc5iNoTj+mWnyaQE6D53+71IyckxLk/qIf8MvNbpjFhPhUpIwoDVujclKnbz06K/vEB7O3fhx19+/FG73680bcf8UgEx7XNx9Ft87G8ZS6isWpkTEuDkjY0jOV1Z9xEcym2iMQ04mwu2ciw7/yiCGs3y8ubTLF5Z0SBHysZCu997zha5sjeceTHmJ0X99gSy2ZmtiYIRlI92NH1V7T3rMP73vd+fOObX8eiRa65pIJCWCiScnCgSMrbAB0dHfj+97+PX/ziF2ioWoJ5javRUDWvYEUdkJuD8eBX0jxRoQRzGSuve2nxLw0WgcxgphgcQeF3lafU0riYgC2YeIlKnicq1ESOMIpgIg/LADqPXAFZYSRFs6kJ+85/Rm13LVG7IjMDYxocERo0RBFBHBFEQBCBGxmM/7TGz0soeO0JICcnxaORuXWI2haerOgav5M9dfaBsbRkphNEIaJRlNnnkrqJqmgeVZE8frfxYfSODeFLq96LqGY65ieir4i4d4hLULybp/Hn+ON+DvdBjvh+ZmbWOfnqrFgeIyc6MT1+G33jY7jg7h/j0qNPAaUUr/d2YEZNE+bWz8YRrbMQ02NI2Y7IrP1MwLa0MdaxrOn+1gl1tBAiqWL18p+80M+uId1eYIhKTGlYXyPEDeM6ODYAgCIRTyIZjSNrak5411Q+jb0D3TBNA0tbZjlzlTY1R/h1tKScuQ9gPTv4iFoAnD16IlohOXHb6L1mEroB3daaAm7o69FsDv/o2oX2wQ7sG+jA3oED6BnrQ4TomFXbghWtc3Ds9HlY2jIThLir6fwu7cU0doXEw++4K0gDhYsOvH+JCJ2YiGmG0x6TEoznTOwfTWEwSzGUyWEoPYLB8UF0DPdg/1A39g50IJPPYnZtE+Y3TMfChulY1tyCaVXNyNOobSpraZnGDR0ZwzXj8oTj5TahFbUi/DHDLLxPnL6D+XkQj7ZEjDApkg53jL1BXVgaPhw9Xy7zW/MLL+6UKyE5DGOpA9jd8yjae9bhgx+6EF/5ylcUOVGYFBhJqV7xSRA9NunyqJHF0Cu/etuTFOU4/zbAtGnT8MMf/hD/+Z//iRtuuAG//OVPUR5vxez6MzC9bgV0TXOcw11TJAJx9R3wOhuycJ08sZGRGpMSp1xPBJUiLy+nPXYEKas8m6g4Lx7LN4UHIwwiOWG/2WcEMZgwPQSF5c0hDx0aTAKA6jCo4WhWNKLZYYCttTtGWFjdoq8Lk2fyoNAosSOM2f2hHKEQVgUBL2Hx9MVjEuFCDALAwjU7IVZBnBVHK2iBlcAkBCaxwk9n8jrytuOprmnQ8rZmTTMxSigSERNp3XRMTaZVNuL5fa+B0jxMqsOkusfHgQ1AXjK/hYI4y1G454bM4VzcEFAkRuJ+EhSukM+IQc40kDMMJKIxz9jy9WdNHSYi0EAxkhnHQ6+/ik2dewAAQ7kI3r3kdBy3wLLpz1GC/RlLIM1xgjvrPx9JiCHimFyy/rH+yP0WYmw/I/sYM9PTKIFBKHLQkTEZEbDGYyQfQUI3ENMoCDRXoItZYYHHTGAswwmGIADiqKuuBgFFV8YdY6Y14fea8O4xwYfy5YiBXSe1hV/TTsciCWoEMIwcnty5AYZpgFITuXwK2XwauqZD1yIwTBNj2XGs27MZ5fEE5te14rCGJpy1aBlm1TahMVkJXeM2QrVGEVR4OLFNEnkndt7PhF+Z94PXJ4UzpfVZ5LE2CbQ0czHNgIY8Nne1Y337LuwdGsSBkUF0jw1jIDUGjWiIR6KI6VHUJKpQm6zCtKoGnDh3JWbVvBvTa5oQ06Oe8nuyllYrY7p9Y9GrmOaE+ZEwc1vPtQVXu0XhziHTolDuumT958mJqDVxA4R4rw0/gmFpY4hj8isL2x7GjNMtkzOBpRT9I69jb/8adPZvxkc/+hFcd90tWLhwYejyFBSKwY45OkXlKChNytsQQ0NDuOWWW3DjjTcimUyi0jgOs5tOQMRm/8UiQQFewSloRYsXVBh4Nb2ommdCZs702riz1T8mdPOhiPOgyFGLeDDflDzyjo7DqseQmn9ZZlnM0EuX+qvwv3kiIZqD+YH3ceHHgoU/DtrPRVyZdcuU1BNwXnaOrWQzwcraBNK7ii36rkQ10wqeoJuI6yZq4gZqI+P49pqfoTFZgf84bjXaqr1hZUX4O6+7v13/j+KakVIgaktMSvDL9Y/h95vX4cTZS9BSUY2h9Bj6xkfQnxrFqtmHY+m0OegdT2F7Xxf+0bUb23v2YG7DDBzVthQ1iSosbJqLZLzKsednG1wy7QIAmKZ3JVj0L9I5YZDXVLItZpxIavZ5tgdO1NZIMK0IE4Kj9rzx2grD1r4EjSCvERHJr/jK5MO5QjjPX2+83xNvQieLqkcIxd7+vfjOmp85x945+wiUxxOg1ETeyEPTdMQjURw3YxEWNc1BXHNf52wMWNn8/cN2Ec+aumO2ZAQ8u9w5cRN5Fm64Tz8wosPuobyRw57+/XitZx82de3HK53tMCnFEdMXobmyGQ0V9ahO1KIqUYPKsgpEuGcHEe4VEe7cwUOO+ecnIxOu2a2/0C/TqvDXrhhKne0/Arhkw0+bUaBN4crhzbHE82xumQksP33884yNV4RQmNRAR//L2N33GFL5HnzqU5/ClVdeidbWVmm/FRQmAqZJqVpx6ZRpUoZfufVtr0lRJOVtjGw2i9/97nf4wQ9+gAMHDqA5eQLmNK1CWazaScMLFYD7AvesXntW9TkBVBAw/cLr8nkMbjVWNHXiN3Hkzb6y1JCaX5meX64Whdd2WO30EhXrmBv9SyQqTj6mKUEhEQkCMxnTiAaTmr4kxnuMCJ/2cX5u+PQSQbBwTxCeFHh9VVh60dGe+apENRNlEQMVMQPlERO53BCeeO0hrNu9EZ845kycMncZ4hHLdChnmwiVaQbiuksU+ZVuCuL4QImb000FXKd4W0DiLurX+/vxmftvxjtmHY6qskqUx8pRl6xCPBLHw9uewcD4ECri5WitbsGCxlk4fNoiNJTXeszFmEYha7q+F3xkO3GTOACeu0NG3Nxx9/bFE5qVuEENnHDioI5GhoQgJW67Cje98x1Pri1BmjyWNm8SJITQsExzwrQyVuANA10jPdjcsRU9I714eueLOGL6Ylx58scKTAFlZoQy8u60w9ZaMv8ZmckQy583ctg7sB+dI73oGO5BJpfCgoYZOHH24UhEIw7pMcBFcbPLMEAAamLfQCf2DHaifbAH+4d70TnShwPDfUhE41jYOBOz62ahtW4uZtfNgq7pzqaGfP/4edQLrgO38fx8Ma2J5RPinVcndDh4siEbK/fZy/uV8KSG16awdrM6RG0KG38eoj8Jf0ymHeVDtvsFOuCfX4aRxu7uZ7C77++orInhC1/4Aj7xiU+gsrJSmldBYTJgJKVy+SVTRlJGNt2mSIoiKQqUUqxZswY33HADnnzySVxwwQXY/8pM1FTMAyFy1bw3v/dlU0wdLxYnlm9Kzpnid7jO82IoYiuNl6RYx+TaFMBLVNzfwUSlVJISZDoibkgpbkBpfbpERSQpxX4Dct8EP4d63i8gqnm1KcxHIxk1kLA3cSQAkhETO7o348+b7kfPqLXrdzKWwBUnfwzzG2YioRtIaIawCu2a2Xg2qgNvLuZC3MzO6pe1cR2F66wN2OYq9neDasgYJs6649sAgJbKOsysacaJc5ZjxfTD8duXH8Xftz+PZdMPx+KWw7ByxgroJOLxIzAo8YTcFld7mYDGhE2rDV4hUQQvdDHhkc0VbyJlffeSE+Zr5MyLzNyysEqpRoTfids5LskrIuhOZyZu1CZvlVEDtbG8dH7Gsmn84pm78XrPLlBKYVADlFJUl1XitIUn4szFpxS0izcpK6VdQRgYH8DTO9bj6R3rYVAD06unoaWqEcloDK92vIaasgpcd8alnpV95lvE+rKpYwfufOE+DKfHMLO2Ba3VTWiqaERzVQPqy1tQX1Hv+NUY1P/5Ku6xxGsJRPAaaZfseH06eC0KEExSvOcLfVTEjQ95rQr//OevJ9l7QYy65a2fpfFG4uLPyYjm8HgHdnY/iQPD67Fo0SJcffXVuOCCC9QmjAoHFYykVCz/2JSRlNFNd7ztSYq6axVACMHq1auxevVqbNu2DTfffDMe2PNTLFy4EFdccQX+cHMWRItK84qrakzjwb4XpPfkDW6XJ60jzFKufPleJkFhiDXoUqLiR16sPIWigVaEiHnzF35nhMMEhQYCswjJ8SMoQeSEON954d8F4VbsRXLCwg87K/X2Z9TemTuiUSQihn0OoGYeD215FMOpQTRXtSGVy2E0M4KRzBie2fkCDmtsg0mBtOn6qzATJSZ8ZOEVRHhCwoQUfmdwFh3JddAmiHHneS0g8xWpiCUwmk1hXsNsJGNJ3LFhDYwXHsaVp3wKy2cch437XsEj/3gcD215FK3V05CIJVARK0dlWSXKouWI6lHEI3FMr2lDRVllgXAlW9G35hgAEVaf4baP2NG1rPQ86bc2WgUAk1jXHSHMP8cmaRyREgVO/qoWCRU/rkxbyZvoAIVExUt04QuTuvtnsH0/TOpqzSxiCZhUg0YofvLUHegZ7ceXV38W9eWN0AiQzWeRiMXt8rz+Efagedrl0QpJ2uQXbQsA9g0cwOOvP4WX9m3CkpZF+OixH8Li5vnQNRZEwMRgagxD6VH0Z61nIdt53Q10oOGel/6EJ7Y/i9MWnIAjZyzFeC6NkXQK6XwOW7r24Pg5rchRDZQzvctzY+4lJYXtN1BoQivOoag94Uko06CwMfJowYXx4cdQg339cYsKsNtimNbcWHun8A72Xi2833qoKcxegd8isafax9yYEMAwKfb3bUJixut46sWn8IEPfABXXvkYjj32WGmdCgoK/xpQmhQFKUZGRnDnnXfipz/9Kbq7u3HZZZdh3UN1SMQbnTR+0aZ8f3NEwynDp35/h3F3B3jeWV3cI4XXoLDf4neZ2Rf7lJl+yUIUM42HH8Xg/U1E3xNZn+HTbzGNLEqYSErYyjtL75bBCXf2cT66G9N06JxpDovqVhHN25t/uqv6cd1E1+DruGPdbXjnvFXQ9SiaKxsxv74FzeWViOnEISSiZocPUywLFUzhCqA5s3D8ZBtVMiGYNxNhe3nkTRNrd27A468/g87hbmhEQ97M49RFp2P1kvcAAAzTwD86NmM0PYzx3DjGM6MYzYwglU0ha+SQyqXQM9KDhooGzGuchxPnn4imSvmGbzJB3m2PzFZfbtLCO2LrxB17jcDyJeLMwsR9Ilj5opDOLyww0yB+5V0Gb9he/2uVEcQIoUhGTFRHLQ0nrzngdy+/Z8P9ePKN53D9e76I5krrGWP1z9VisfZHNBMRQpE17XuPM7cbzY7juV0v4PndL+HcZf+GxdOWFPQna2TRO9qLvrF+dAx1YPOBregY7sQxs47CaYtWoa68geuIgZ6RLqzZ9nfs7tuLT6/6FBrLqz3RydwIWBRX/P5LAICYHkVZtAyV8QqUx8vxevcbAIArVv0H5jbOs9vkHXOrL9anLhIyeLVs1lwwYupGULOucbn/iUuQrU/xPiucQ++1KealwnFZeTJiKAsL7Ckb/vubsPyMhKWyo9jR+QyG8CLy+Tw+9alP4dJLL0Vzc7OkRwoKBw9Mk1K+7P9MmSZl7NW73vaaFEVSFAJBKcXf//53/PSnP8WDDz6IU089FT07F6Ch+ghAixT4ijBTLHg+7XMBGyPyEMlDEHjtCSAPOeym9deWAF6SYn26RCViKx39iIoV2YcI5THth6QuH74ii84lO8/yR4jcYZRPIzUD4jQmLI/jl0LcTds0uFqUvGmFUI5oJhIR09nkMaZRjGWG8e2Hrsc1Z34dNYlqaMQ6HtctgZLtx+LdfJHrp0wD4QjPhPvNzvGCHUd6BVt6XpDmhSCDWqY9uXwGVWWViEeTyFMdGcONVsSvOrNVb4skUMAcxUt7X8L9r9yPing5vnH2N5w2iA9UmX29eI4RFrGtPPx8U5ivgu600bvSzu9+zhMDXnPC1+8IhtTf9l8Ev+9OVKMFvhUxjSIZMZA1NcTt/XiY9sukBNl8Dr969g681vUGqhKVqElUYXp1MxY0zsaK6YtRGS/n2gx0jfTjq3/5nqcNlfEKjOdSMEzrPn/HnONw4VEXeATlv732N/xl818Rj8RRX16HpspGLGicjxl1M5DOZdE/3o++sX70jPSge6Qb3SPd0DUNi5rm4mPHvh9VZZUefw7Y45YzDYykRzGWHcdYdhyjmTGMpEcxkhlF72gvXty7EWcsWoVzlp9ta5CIM7J+zvvEPhcUjtvPrDBnEshMsxjCvPTlPiOFZXnyCOl4yEzDrDxeYuzsmcT1nY/yZVATnYOvY3ffs9jf9xJOOOEEXHHFFTjvvPOUSZfCmwaXpHxkCknKbxVJUSRFISwOHDiA22+/HbfccgtSqRQuueQSXHrppfjUh5+2zTusl1nepgzi3iWAl1QUhgh2N0LkUYywyHxORHMvP42JXx3iOdnu9NZvJsR6iYqMoBQjJjJn92JgwkzY3eb92kFsImGFHaYechLR3L1TWF3EkxfI5Ebw/x76GlqrW7GoZQlOmHciqsoq7U35mGkXrwFwNQEMTHgDBNMd2Wos5BoHSnmByi3LzxGXnWer0ZQC3334qxjPjgEAptfMQt7MYSwzikQ0gVkN85HNp7F/YC8Gxvswq34OTj/sDCxsWuCZEz+I7QgyeQwaAzE0LBtLx1QPXrJS6IfCmwd5fQ9M0z0m26uF1asTK/qYBkZsXaKkc3MutpsADpHRuXw6oRgYH0D36DD6xoawa6ADW7t2Yc/AAcyum4E59bNRk6hGMl4OjWi48/m7YdDChYeySBnOWvZuHD/3HY6mk/mv/H7DH/DcrucR0SKI6lFQUKRzaWhEQ02iCvXldagvr0VTZSOaK5tQX1GHbD6HjqFOpHIpmJTCpCZGMuMYGB/CYGoQg+ODGEmPgIIiES1DMpZARbwC5bEKlMcrUFfegPqKJsysn494tMLje8TGMqozrQicT3GzSEe7QrzXvvgG50lUMQ2Hn6+UO1/udxnhZ/AzFfOQY87BXtZHP2LCtIBjmWGc8P4cbrnlFgwNDTnvHxVCWOFQgCIpBweKpCiUDNM08dhjj+GWW27BAw88gLrqRaivOB61NUeCaLYNOajjP8JrUKxzXtLijb5VuMdJMQ1IMXgJh5yYBBMWr/M8OyZu9Oj1PbE2bwS8viPsd2EbC88R55h3Zdw57+M0LGpQ/AiKdx8LV6vCNCls93mdJyd2GnHzN0IoorQT7QM78Gr7Ruzo2Y7DWpbgsJbFmNc4D7XJOkQ0QBMEV9nmdjLfCfdcoVkclRAbJz1nLuJHCETtzYY96/H4tjUYGO93ji9oWoijZh2HPX27URZLYnrNDMyqn4OyaKJAg0W4cmXO/07fJuDeXcyPi9VrtaMwMa85AQpXy71CpV0Odz0xMGd+fn8TRpB48zNxbHTnk0WvogXjz9rIiFLf2CC2dm3Hrt59GLH9nPrHhjCQGrKIY/1MLGhcgHmNc1ERr0REjyMZSzpjMZ4dR9dwF/rH+zE4PoDukS50j/RiYLwf6VwGAAWlQDwaQzKWREW8HM2VTTCpiVfaNyOqR9Ba3YrKsgpb06ghGUuiOlGDqkS1FTK4rAbViUromu5ZMGCBRJyIW5y2zOtTUhh5yztvhfccfy8UA+/4zpcH+Gs4RMhC0YsQwxID3ntYNOWy9kSx+sKHLWYEJm8a6B7Ygo6h53Cg72WsWnUyPvnJT+K8885DPD75Xb0VFKYKjKQkl31wykjK+Ku/UyRFkRSFyaCrqwu333477rjjDuzfvx/VySPRUH08qisWOJHB+GhcMtMvwOtXwn57iYrcv0QGURNjHdNCERERIjEBUKBFAeAhKpZzu1eTIjq5Mz8SQB6JiN/dWRaJSwbR70R0hA/My5XN8rBIXq4w6s3LhJCI5pp+xe0ws6Pj+/FK+yt4vft1tA/sQyKWxIzaNsyomY7WmuloqGhEXXkd4pG4ZwxkzvJWXV7IxoxKzoV5uPkJZpRS7BtoR/vAPtz/yh9x6Ts/icNawq3aiu3jtTk8OeHHlCdSQUSDv24Id534oSD0KwpD0/qZdvHRxbzHXe0JayfvF+X0jyMl7q7rrnkhIyt822RtZtcki56WNTWkc1kcGOrCzt6d2N7zBnb07MBxc96B5soWHBjab5lrDXdhJDOCqrIq1JfXoyZZg7pkHZoq69FY0YDqsiRiOkBAMJbLYzA9juHUCLpHu2EYORw5YyWm17TChOYJ62uFSy7Udrj98JsL93omXDrRjIonIiK5AJdHnBexLaJZGh+BS7b5ojgHQVpBQO4PBrih5A3hupRpEnnfGdbnwbF2dPQ/i66h9aiuSeCiiy7CpZdeinnz5gU3SEHhTQIjKYmlF4Lo8kBDpYAaOaQ2/68iKYqkKEwFKKV44YUXcMcdd+Duu+8GNROorzgOzXUnIBFvcPxWeCd6P58VBp7AAIX+K0FRvHiE0YwUyxdETKy0fD4ifLL0/qZdfsKAeDiMVkU09WLHggRevgw/3xZGXFg7ePLCHO4Bl2gwAUUnafSNtKNjcB86htrRO7IfQ6keZPMZ1CZrccqCkzCtugXJWBKJWDmqE1XQiFZg4mRQd0d2vq2UUmh2Iwk1MZIZxXg2hVQuBY0QtFZPQ1R4aYhO5UAhIWIC1bau1/CbZ27BOcvfi5pEDZqrmtBY2eSMp4x08D4FoskTD3GDVBnR4tskg99eH/x5mYmbs3IvrHQDhdePt80u0ZCB1yS5x7whkwF4tC28GaDobySWJxK5kZyOrEnw4p4X8b8b7sGchnmYXtOGpspmNFY2ob5iGuKRBAixd1yHFS6b3RNsfsSxJ4QibWjIMT8lFJIF0ZyKPxcW4saZslC/kNTN8vJjwoJGsLSe65zTXsh2cg+KflYKPL5OkmvLk46ZGFKCdG4YHX3Po3f0eQyN7scFF7wPF198MU477TToeuHCk4LCoQRFUg4OFElRmHJkMhn8+c9/xh133IGHH34Y9TXzUZ04Cg11xyAerS4QqmShhsXfIhXh9xUxxDwB5ggMYUMI8+ZcnvxBZfNERkJUZL+LlinRuoQJLWyd8zrO+63SywiLWD4RVs+ZtsU656ZngpZGLO2KRqwQuzlDg0EJ4noeQ6k0+ke2Ykv7kxjNDCOVHUM6l0J5vALTqqdjLDOK4fQQCCGoS9ahsaIWjeV1IITgmZ3Po7KsAjWJamzv2YnyWBLzGmZjd/8+9Iz2IapHkYwlkDfyyOQzaKuZjpl1bWisqEdFvAIV8QpUllWhrrwOMT0mCIluRyiAnpFePLL1EYxlxjCWGUX3SDeaKptQWVaF8lgS5fFyRLQINEJAiDXjC5sXYm7DXHfM4IXMR4TVZ42tcF5yjE8P+PvdSIVabp5kYH4PVvABdg+6BIZtGun2h7/mvdcbv8M8EUiHqIGRXXcxjSKimR4fJp4gjuc1Z4f1nGnChC7VEvGmVCxUtSZMjDgeOdOKliXd48PJ445pWF8NsS4/jQfrI59eGkqaM89jebwb7vJtLNRWhTE9lGm8RLh7m3jbKu48z9qSyaXQOfAS+sY2oKv3VRx/wvG4+OKL8YEPfOBtLZgp/OuBkZSypRdMGUlJb/6DIimKpCgcTPT09ODee+/F3XffjWeffRarVq3CgR0z0FhzFKKRCk9aechhBKbxhjMuvJSL61mCESa0cHB+XnjjjpPCY5CcF/PKdo138/iTFp6wWMf865JF4PIjLeI5XmPDb/zo8WWx7dDzprU5YnU85/iqZA0D7f070T/WiWS8GhXxalBqYjTTh7F0LwbH+zGS6sOS1uWoiFdiONWPOQ2zkclnsKt3Fxoqm7C4ZSkoidsr9hTj6R7s7tuL/YP7MDA+iNHMKMYyoxhKDSJr5KwwsbEkyqJlKIuWIREtQ87IYyg9jJH0CExKEYvEELP3SDFMA92jPfb3PEYzYxBx+qJTce7y93Dj5Qr63tVlNi5eYgR4NSA8ZPuYyARl3036BCGXESDDJpW8wGyYhe1ySYYbDc4lGYX1ya450d+F919x22lBtyPFMRC41xwfxpdph3KGS/h4ksD27eDHRdYmP5Mr/pyTByggG/w51kZWfzHCIZpeWeX4C/pWGYXHZSZ+njwlvPWLmXx5yRDfrsJ2mwAMI4OuwVfQM7IB3YObsGTJEnzoQx/ChRdeiNmzZ4dvmILCIQSHpBz+3qkjKVvuUyRFkRSFfxba29vx+9//Hvfccw9efvllnHLKKWh/vQVNNStRFqsFMEGiUuT8wQTbjDEswoYjFtOF0biE3V0eKNS2WOf9CUwxUzG+TM+eKwJhYWGN2Q7zBiUo0y1dWMbQPcKgSS0yo2vuhnGUEsQjBqKaCQqCuG5AI/AI1UxjE7FX4Ctjlg9TRKNO+RGNQicmxrOjGE/3YTSTQiqXRjqXxlg2jYgeRVVZFSrLKhDRNOSNDLJGFrl8FqlcGsOpIfSPDyCdz6KqrApViRpUlVWhOlGJingVplU3QyNagR+Kn2ZDjNYVFA6Yv94NSjy+DU5aSVQumbmQYY8xOy+aW/m9HBjx5Pe/EaO+8XllmiERRDjn7j/ibQ+Bl5DzaWWmU4yYiP3z02qIZbpp/DUQhQEeBDIS4PfhKVuoy5MG3v1/xLb49UMGP/8jHjLC6Ydi5CSbH0XnwCb0j21C78hmzJgxAx/+8IfxwQ9+EIcddlj4ihQUDlEoknJwoEiKwpuCXbt24U9/+hPuv/9+rF27FkceeSSGOmaiqWYFKhJtIKRQIGAoRlKKpQ+LUlYbD5rGxkejEpSmWLqw2hcxXzEhRvRBkB6XhMXVRS1NADES62dCqCYQJMAiItan6ZTLRygD3PyA5a8AAKPZCAyTOGGX2b4wrEwmKLM8JiXImhZZiOm2/5QtZDIBW7aKD6cMzcnHPv38FIBwPg9iPYzMsDJ4h2Y2Bmyc+FC3AApIEAM7LhIT8XIUzQF1m2wyE0C3Haxt1u+84HwthrCdKKgwF4HR5Oy6/UicmE/m+C/bb4Q/7md25aehcMua3Dj4QRZxTwbTt632fZTuQdfgKxhIbUJ3/zYsX74c559/Ps4//3wsXbrUecYrKLwVwEhK/PDzpoykZLb8SZEURVIU3mz09vbiwQcfxH333YfHHnsM1dXVeNe73oXVq1fjNzf0Ih6tBuBPGvwIQqnpi+UT8wftuF0qwpKUMHkmW05YJ34rrXyw+LGROfnzgpuMEHnL8idHvDM122+DzZ+uuSZBBfUI7dA1N5/ooC22K6qbDvmIaqaz+RzbX4aZdPEmbqzdLJ9jVsWdY8Iv72/BR1ji2+f3XWy32H/pHjkhySD/m8HalNBtr9h+N11he2VtFCHz3RGDDTBSdbA1qOJ1VGB25UM2xHNW3sLrQwbRD6gYSllYKQV+88Yjm0uhd3grjj7DxKOPPoo9e/bgpJNOwnvf+16cd955mDlz5sFpnILCIQBFUg4OFElROKSQyWTw7LPPYs2aNXj00Ufx0ksvozxZDXKQVg3fKgi6icOOXJgHwSE7C4dswxQU3vqglGI8NYzZs+bi7HPejdWrV2PVqlWoqKgonllB4S0Ah6QsOWfqSMo//qxIiiIpCocyent7sWvXrje7GQoKCgoKAZg2bRra2tre7GYoKLwpYCQltvisKSMp2a1/eduTlMib3QAFhSA0NDSgoaHhzW6GgoKCgoKCgoLCPxGKpCgoKCgoKCgoKChMGgZK8xgNKkdBkRQFBQUFBQUFBQWFyYKa1v9UlKMwJXRPQUFBQUFBQUFBQUFhyqA0KQoKCgoKCgoKCgqTBIWJqQiITv+p21IfulAkRUFBQUFBQUFBQWGyoHSKzL1U4F1AmXspKCgoKCgoKCgoKBxiUJoUBQUFBQUFBQUFhclCOc5PKRRJUVBQUFBQUFBQUJgklE/K1EKZeykoKCgoKCgoKCgoHFJQmhQFBQUFBQUFBQWFyUKZe00pFElRUFBQUFBQUFBQmCwUSZlSKHMvBQUFBQUFBQUFBYVDCkqToqCgoKCgoKCgoDBpTI3j/NSU8a8PRVIUFBQUFBQUFBQUJgtl7jWlUOZeCgoKCgoKCgoKCgqHFJQmRUFBQUFBQUFBQWGSoFOkSaFKkwJAkRQFBQUFBQUFBQWFKYDySZlKKHMvBQUFBQUFBQUFBYVDCkqToqCgoKCgoKCgoDBp0ClyeqdTUMa/PhRJUVBQUFBQUFBQUJgsqAlQMjXlKCiSoqCgoKCgoKCgoDBpmMbU6EBMYypK+ZeHIikKCgoKCgoKCgoKE0QsFkNLSws697w6ZWW2tLQgFotNWXn/iiCUUmX4pqCgoKCgoKCgoDBBpNNpZLPZKSsvFouhrKxsysr7V4QiKQoKCgoKCgoKCgoKhxRUCGIFBQUFBQUFBQUFhUMKiqQoKCgoKCgoKCgoKBxSUCRFQUFBQUFBQUFBQeGQgiIpCgoKCgoKCgoKCgqHFBRJUVBQUFBQUFBQUFA4pKBIioKCgoKCgoKCgoLCIQVFUhQUFBQUFBQUFBQUDin8/yWekwahdQPgAAAAAElFTkSuQmCC", + "text/plain": [ + "<Figure size 800x400 with 2 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "%%time\n", + "worldmap(icon.tas.isel(time=10), cmap=cmocean.cm.thermal)" + ] + }, + { + "cell_type": "markdown", + "id": "36c1ba4c-800b-4320-baca-fcded39049e4", + "metadata": {}, + "source": [ + "We can also plot the time mean surface air temperature." + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "fb36bc09-30bc-44b4-a129-d361c7ceb324", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/headless/envs/magic/lib/python3.10/site-packages/xarray/core/indexing.py:1430: PerformanceWarning: Slicing with an out-of-order index is generating 81 times more chunks\n", + " return self.array[key]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 6min 27s, sys: 1min 5s, total: 7min 33s\n", + "Wall time: 3min 36s\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 800x400 with 2 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "%%time\n", + "worldmap(icon.tas.mean(\"time\"), cmap=cmocean.cm.thermal)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "MagicPy", + "language": "python", + "name": "magicpy" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} -- GitLab