From ea9e1438cad7b69bfa735861e96bcf0abf1ccfcc Mon Sep 17 00:00:00 2001
From: "lars.kaleschke" <lars.kaleschke@awi.de>
Date: Thu, 21 Mar 2024 19:54:12 +0100
Subject: [PATCH] Appendix comparison with MODIS
---
MODIS_Paul_2015.ipynb | 8778 +++++++++++++++++++++++++++++++++++++++++
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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "b0cd84e5",
+ "metadata": {},
+ "source": [
+ "# Case study: comparison of SMOS and MODIS sea ice thickness\n",
+ "\n",
+ "## Method\n",
+ "\n",
+ "We compare the sea ice thickness derived from MODIS thermal-infrared imagery with SMOS. MODIS data from Paul et al. (2015) are used for this purpose. Clouds limit the applicability of the MODIS sensor in particular during polar nighttime. The analysis includes the following steps:\n",
+ "\n",
+ "1. Evaluate the number of valid pixels in the MODIS grid for each day of the year\n",
+ "2. Select suitable cases with the best data coverage\n",
+ "3. Display the SMOS and MODIS data with the same color scale on a map\n",
+ "4. Extract a north-south profile across the polynya from SMOS and MODIS\n",
+ "5. Plot and compare the extracted sea ice thickness data.\n",
+ "\n",
+ "\n",
+ "## Results\n",
+ "\n",
+ "The evaluation of valid pixels shows that the year 2012 includes two major peaks with a high number of suitable data points that are not masked by clouds. Three dates have been selected for further analysis, April 23 and May 6 and 8, which include 15005, 10314, and 12455, respectively. The average number of valid pixels is only 2240, therefore the selected cases represent particularly good conditions.\n",
+ "\n",
+ "The longitude 39°W has been chosen for a profile because it provides a good spatial coverage for the polynya of the Filchner Ice Shelf. The results are shown in Figures.\n",
+ "\n",
+ "\n",
+ "N: 43\n",
+ "Mean VAL, SMOS: 0.13 +- 0.04 , 0.21 +- 0.07\n",
+ "Mean difference SMOS-VAL: 0.086\n",
+ "RMSD VAL-SMOS: 0.10\n",
+ "R: 0.81 R^2: 0.66\n",
+ "\n",
+ "\n",
+ "## MODIS data and methods\n",
+ "Paul, Stephan; Willmes, Sascha; Heinemann, Günther (2015): Daily MODIS composites of thin-ice thickness and ice-surface temperatures for the Southern Weddell Sea. PANGAEA, https://doi.org/10.1594/PANGAEA.848612,\n",
+ "Supplement to: Paul, S et al. (2015): Long-term coastal-polynya dynamics in the Southern Weddell Sea from MODIS thermal-infrared imagery. The Cryosphere, 9(6), 2027-2041, https://doi.org/10.5194/tc-9-2027-2015"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "41f961b3",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "2010_modisTIT.nc 2012_modisTIT.nc 2014_modisTIT.nc\r\n",
+ "2011_modisTIT.nc 2013_modisTIT.nc\r\n"
+ ]
+ }
+ ],
+ "source": [
+ "modisdir='/isibhv/projects/p_satpm/MODIS/Paul2015/'\n",
+ "!ls $modisdir"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "b57a34c0",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Ant 12.5 -R-3950.0/3950.0/-3950.0/4350.0\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/isibhv/projects/SMOS_ESL/miniconda_2022/envs/cartopy/lib/python3.10/site-packages/pyproj/crs/crs.py:141: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n",
+ " in_crs_string = _prepare_from_proj_string(in_crs_string)\n"
+ ]
+ }
+ ],
+ "source": [
+ "%matplotlib notebook\n",
+ "\n",
+ "from pylab import *\n",
+ "import xarray as xr\n",
+ "import pandas as pd\n",
+ "import pyproj\n",
+ "import os\n",
+ "\n",
+ "\n",
+ "cs=12.5 \n",
+ "take_region='Ant'\n",
+ "\n",
+ "if take_region == 'Arc':\n",
+ " pol=pyproj.Proj(\"+init=EPSG:3413\") # NSIDC Polar Stereographic EPSG 3413 for North\n",
+ "else:\n",
+ " pol=pyproj.Proj(\"+init=EPSG:3412\") # NSIDC Polar Stereographic EPSG 3412 for South \n",
+ " \n",
+ "def mapxy(x,y):\n",
+ " lon,lat=pol(x*1000,y*1000, inverse=True) \n",
+ " return lat,lon\n",
+ "\n",
+ "def mapll(lat,lon): \n",
+ " x,y=pol(lon,lat, inverse=False) \n",
+ " return x/1000,y/1000\n",
+ "\n",
+ "def def_regions(): \n",
+ " regions={}\n",
+ " regions.update({'Arc': [1,3750.0,5850.0,-3850.0,-5350.0]}) \n",
+ " regions.update({'Ant': [-1,3950.0,4350.0,-3950.0,-3950.0]}) \n",
+ " return regions\n",
+ "\n",
+ "def region_corners(take_region):\n",
+ " regions=def_regions()\n",
+ " sgn,cds= regions[take_region][0],regions[take_region][1:5]\n",
+ " x0,y0,x2,y2=cds[0],cds[1],cds[2],cds[3]\n",
+ " corners=[x0,y0,x2,y2,sgn]\n",
+ " return corners\n",
+ "\n",
+ "x0,y0,x2,y2,sgn=region_corners(take_region)\n",
+ "rx=' -R'+str(x2)+'/'+str(x0)+'/'+str(y2)+'/'+str(y0)\n",
+ "print(take_region,cs,rx)\n",
+ "#lon,lat=meshgrid(eralon,eralat)\n",
+ "#xp,yp=mapll(lat.flatten(),lon.flatten())\n",
+ "\n",
+ "#y=linspace(y2+cs/2,y0-cs/2,int((y0-y2)/cs))\n",
+ "#x=linspace(x2+cs/2,x0-cs/2,int((x0-x2)/cs))\n",
+ "XCS=np.linspace(x2,x0,int((x0-x2)/cs)) # X,Y coordinates\n",
+ "YCS=np.linspace(y2,y0,int((y0-y2)/cs))\n"
+ ]
+ },
+ {
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+ "Dimensions: (lat: 456, lon: 710, doy: 183)\n",
+ "Coordinates:\n",
+ " * lat (lat) float32 -69.01 -69.03 -69.05 -69.07 ... -78.15 -78.17 -78.19\n",
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+ "Data variables: (12/13)\n",
+ " TIT (doy, lon, lat) float32 ...\n",
+ " maskAP (lon, lat) int32 ...\n",
+ " maskRO (lon, lat) int32 ...\n",
+ " maskIB (lon, lat) int32 ...\n",
+ " maskFI (lon, lat) int32 ...\n",
+ " maskCL (lon, lat) int32 ...\n",
+ " ... ...\n",
+ " covAP (doy) int32 87 99 95 88 87 81 70 66 72 ... 99 99 99 100 99 99 93 82\n",
+ " covRO (doy) int32 100 100 100 100 100 99 99 99 ... 94 98 99 99 100 100 99\n",
+ " covIB (doy) int32 100 100 100 100 100 100 100 ... 95 99 100 100 100 100\n",
+ " covFI (doy) int32 100 100 100 100 100 100 100 ... 99 99 100 100 100 100\n",
+ " covCL (doy) int32 95 100 100 100 100 100 100 100 ... 99 99 99 99 99 99 99\n",
+ " covBR (doy) int32 91 99 100 100 100 100 100 100 ... 99 91 77 75 79 63 68\n",
+ "Attributes:\n",
+ " creation_date: 06-Aug-2015 11:37:42\n",
+ " title: Thin-ice thickness data set for the year 2012.\n",
+ " info: Data derived from MODIS MOD/MYD29 sea ice product (Riggs ...\n",
+ " author: Stephan Paul\n",
+ " contact: paul@uni-trier.de</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-15720c70-b511-4147-a22c-2507d08f654c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-15720c70-b511-4147-a22c-2507d08f654c' 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'>lat</span>: 456</li><li><span class='xr-has-index'>lon</span>: 710</li><li><span class='xr-has-index'>doy</span>: 183</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7de62dc7-4c2c-4162-a5b6-dc751c9fdc5a' class='xr-section-summary-in' type='checkbox' checked><label for='section-7de62dc7-4c2c-4162-a5b6-dc751c9fdc5a' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-69.01 -69.03 ... -78.17 -78.19</div><input id='attrs-5d280d9e-d409-472c-b2e7-3891690690db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d280d9e-d409-472c-b2e7-3891690690db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f9646ca-5571-408b-8a27-8ac5ecdb1a35' class='xr-var-data-in' type='checkbox'><label for='data-0f9646ca-5571-408b-8a27-8ac5ecdb1a35' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>decimal degree</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>valid_min :</span></dt><dd>-78.18991</dd><dt><span>valid_max :</span></dt><dd>-69.010086</dd></dl></div><div class='xr-var-data'><pre>array([-69.010086, -69.030266, -69.05044 , ..., -78.14956 , -78.16974 ,\n",
+ " -78.18991 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-64.97 -64.9 ... -20.1 -20.03</div><input id='attrs-df16de8c-5dfc-45dd-b4c5-fc92495df1ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df16de8c-5dfc-45dd-b4c5-fc92495df1ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4108c8bb-d90f-4b1a-be98-04325e905130' class='xr-var-data-in' type='checkbox'><label for='data-4108c8bb-d90f-4b1a-be98-04325e905130' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>decimal degree</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>valid_min :</span></dt><dd>-64.96831</dd><dt><span>valid_max :</span></dt><dd>-20.03169</dd></dl></div><div class='xr-var-data'><pre>array([-64.96831 , -64.90493 , -64.84155 , ..., -20.158451, -20.09507 ,\n",
+ " -20.03169 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>doy</span></div><div class='xr-var-dims'>(doy)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>92 93 94 95 96 ... 271 272 273 274</div><input id='attrs-8e055a57-5f31-4fb8-8ac7-5cecce4701ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e055a57-5f31-4fb8-8ac7-5cecce4701ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63e22cec-5143-41ec-84da-151ffa8715ef' class='xr-var-data-in' type='checkbox'><label for='data-63e22cec-5143-41ec-84da-151ffa8715ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>day of year</dd><dt><span>long_name :</span></dt><dd>day of year</dd><dt><span>valid_min :</span></dt><dd>92</dd><dt><span>valid_max :</span></dt><dd>274</dd></dl></div><div class='xr-var-data'><pre>array([ 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105,\n",
+ " 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119,\n",
+ " 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133,\n",
+ " 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147,\n",
+ " 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161,\n",
+ " 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175,\n",
+ " 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189,\n",
+ " 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203,\n",
+ " 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217,\n",
+ " 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231,\n",
+ " 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245,\n",
+ " 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259,\n",
+ " 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273,\n",
+ " 274], dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-addbebd1-f985-4b72-b9be-cd2265d9ee5a' class='xr-section-summary-in' type='checkbox' checked><label for='section-addbebd1-f985-4b72-b9be-cd2265d9ee5a' class='xr-section-summary' >Data variables: <span>(13)</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>TIT</span></div><div class='xr-var-dims'>(doy, lon, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-06f8e4fd-6482-472c-b807-8ddcf6e9e2ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-06f8e4fd-6482-472c-b807-8ddcf6e9e2ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a11e801-51c5-4e59-aa3e-78d6be249fe2' class='xr-var-data-in' type='checkbox'><label for='data-6a11e801-51c5-4e59-aa3e-78d6be249fe2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meter</dd><dt><span>long_name :</span></dt><dd>thin-ice thickness</dd><dt><span>valid_min :</span></dt><dd>0.0019387694</dd><dt><span>valid_max :</span></dt><dd>0.24999313</dd></dl></div><div class='xr-var-data'><pre>[59248080 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>maskAP</span></div><div class='xr-var-dims'>(lon, lat)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-730b66ba-a188-4da2-a7b6-912f9dca5177' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-730b66ba-a188-4da2-a7b6-912f9dca5177' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c1e41c0-cd30-4f60-9189-d188d32fcfad' class='xr-var-data-in' type='checkbox'><label for='data-7c1e41c0-cd30-4f60-9189-d188d32fcfad' title='Show/Hide data repr'><svg 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>mask for Antarctic Pensinsula region</dd></dl></div><div class='xr-var-data'><pre>[323760 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>maskRO</span></div><div class='xr-var-dims'>(lon, lat)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3fe1c1ef-0f38-414e-a5cd-ac2fc121c388' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fe1c1ef-0f38-414e-a5cd-ac2fc121c388' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c78665c7-32bd-410e-b700-05dc0883fc5e' class='xr-var-data-in' type='checkbox'><label for='data-c78665c7-32bd-410e-b700-05dc0883fc5e' title='Show/Hide data repr'><svg 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>mask for Ronne Ice Shelf region</dd></dl></div><div class='xr-var-data'><pre>[323760 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>maskIB</span></div><div class='xr-var-dims'>(lon, lat)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a3649f8d-733b-4cf4-acda-001b8b5c5019' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3649f8d-733b-4cf4-acda-001b8b5c5019' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85e47b9b-f983-4ac4-b958-faa6164e8dd3' class='xr-var-data-in' type='checkbox'><label for='data-85e47b9b-f983-4ac4-b958-faa6164e8dd3' title='Show/Hide data repr'><svg 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>mask for Iceberg A23A region</dd></dl></div><div class='xr-var-data'><pre>[323760 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>maskFI</span></div><div class='xr-var-dims'>(lon, lat)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8c6e005a-4a2e-45c7-870f-7d662f0187fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c6e005a-4a2e-45c7-870f-7d662f0187fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6778919c-d6da-4ac1-9de7-8c132e089c55' class='xr-var-data-in' type='checkbox'><label for='data-6778919c-d6da-4ac1-9de7-8c132e089c55' title='Show/Hide data repr'><svg 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>mask for Filchner Ice Shelf region</dd></dl></div><div class='xr-var-data'><pre>[323760 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>maskCL</span></div><div class='xr-var-dims'>(lon, lat)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-285f2207-7aa5-4788-868e-7428431982b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-285f2207-7aa5-4788-868e-7428431982b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae42d845-6061-44dc-993d-c16cf9109f8b' class='xr-var-data-in' type='checkbox'><label for='data-ae42d845-6061-44dc-993d-c16cf9109f8b' title='Show/Hide data repr'><svg 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>mask for Coats Land region</dd></dl></div><div class='xr-var-data'><pre>[323760 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>maskBR</span></div><div class='xr-var-dims'>(lon, lat)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-566a07aa-191f-436e-85b5-5aed9811df6a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-566a07aa-191f-436e-85b5-5aed9811df6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa95bde7-3cfc-4025-9427-7657e9588bb0' class='xr-var-data-in' type='checkbox'><label for='data-fa95bde7-3cfc-4025-9427-7657e9588bb0' title='Show/Hide data repr'><svg 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>mask for Brunt Ice Shelf region</dd></dl></div><div class='xr-var-data'><pre>[323760 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>covAP</span></div><div class='xr-var-dims'>(doy)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9abfb07c-0961-4e1b-8204-3f21983f88d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9abfb07c-0961-4e1b-8204-3f21983f88d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63dfd9f0-b3d6-4812-8866-cf52079960b7' class='xr-var-data-in' type='checkbox'><label for='data-63dfd9f0-b3d6-4812-8866-cf52079960b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>percent</dd><dt><span>long_name :</span></dt><dd>Achieved coverage after cloud-cover correction for Antarctic Pensinsula region</dd><dt><span>valid_min :</span></dt><dd>58.59744</dd><dt><span>valid_max :</span></dt><dd>100.0</dd></dl></div><div class='xr-var-data'><pre>array([ 87, 99, 95, 88, 87, 81, 70, 66, 72, 78, 85, 86, 96, 99,\n",
+ " 96, 94, 80, 82, 99, 99, 100, 99, 99, 99, 99, 99, 100, 99,\n",
+ " 97, 92, 92, 94, 98, 100, 100, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 99, 99, 100, 99, 99, 99, 99, 99, 99, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 88,\n",
+ " 83, 75, 75, 91, 100, 99, 99, 99, 100, 100, 100, 100, 99, 72,\n",
+ " 65, 71, 91, 91, 99, 99, 99, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 99,\n",
+ " 99, 98, 95, 58, 59, 94, 98, 95, 96, 96, 99, 99, 99, 99,\n",
+ " 100, 100, 100, 100, 99, 99, 100, 100, 100, 100, 99, 99, 99, 100,\n",
+ " 100, 100, 99, 99, 99, 99, 99, 98, 91, 90, 95, 98, 99, 99,\n",
+ " 99, 99, 99, 99, 100, 99, 98, 99, 99, 99, 100, 100, 100, 99,\n",
+ " 99, 99, 100, 100, 100, 99, 99, 99, 99, 99, 100, 99, 99, 93,\n",
+ " 82], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>covRO</span></div><div class='xr-var-dims'>(doy)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1aa71082-ea6c-4c31-b0ca-73cbce841380' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1aa71082-ea6c-4c31-b0ca-73cbce841380' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-245a69e3-e9d2-4aae-a8ce-b0707f1ffa47' class='xr-var-data-in' type='checkbox'><label for='data-245a69e3-e9d2-4aae-a8ce-b0707f1ffa47' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>percent</dd><dt><span>long_name :</span></dt><dd>Achieved coverage after cloud-cover correction for Ronne Ice Shelf region</dd><dt><span>valid_min :</span></dt><dd>52.826447</dd><dt><span>valid_max :</span></dt><dd>100.0</dd></dl></div><div class='xr-var-data'><pre>array([100, 100, 100, 100, 100, 99, 99, 99, 100, 100, 100, 99, 99, 99,\n",
+ " 99, 99, 99, 99, 99, 99, 100, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 99, 99, 99, 100, 100, 99, 100, 95, 95, 99, 99, 99, 100, 100,\n",
+ " 100, 100, 100, 99, 99, 99, 99, 99, 99, 99, 99, 99, 98, 97,\n",
+ " 96, 97, 99, 99, 99, 100, 100, 100, 100, 100, 100, 99, 99, 99,\n",
+ " 99, 99, 99, 97, 96, 99, 99, 100, 100, 100, 100, 100, 99, 99,\n",
+ " 99, 99, 100, 99, 100, 100, 100, 99, 99, 100, 100, 100, 99, 99,\n",
+ " 99, 83, 74, 86, 97, 99, 99, 97, 84, 52, 55, 70, 94, 98,\n",
+ " 99, 100, 100, 100, 100, 100, 100, 100, 99, 99, 99, 99, 100, 100,\n",
+ " 100, 100, 99, 99, 99, 100, 100, 100, 99, 99, 100, 100, 99, 99,\n",
+ " 98, 98, 100, 100, 100, 100, 100, 100, 99, 99, 99, 99, 99, 99,\n",
+ " 97, 96, 98, 98, 99, 99, 99, 94, 94, 98, 99, 99, 100, 100,\n",
+ " 99], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>covIB</span></div><div class='xr-var-dims'>(doy)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-af92f201-dfe7-4565-92bb-d69e29d7b2d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af92f201-dfe7-4565-92bb-d69e29d7b2d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e44f7698-6ba8-4321-a92e-21a23a754ffc' class='xr-var-data-in' type='checkbox'><label for='data-e44f7698-6ba8-4321-a92e-21a23a754ffc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>percent</dd><dt><span>long_name :</span></dt><dd>Achieved coverage after cloud-cover correction for Iceberg A23A region</dd><dt><span>valid_min :</span></dt><dd>81.05102</dd><dt><span>valid_max :</span></dt><dd>100.0</dd></dl></div><div class='xr-var-data'><pre>array([100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 100, 100, 100, 99, 98, 98, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 100, 100, 100, 99, 99, 99, 99, 99, 99, 91,\n",
+ " 88, 88, 99, 99, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 91, 91, 99, 99, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 93, 93, 99, 99, 99, 99, 99, 99, 82, 83, 81, 86, 91,\n",
+ " 99, 100, 100, 100, 100, 100, 100, 100, 100, 99, 99, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 99, 97, 96, 99, 99, 99, 99, 94, 94, 95, 99, 100, 100, 100,\n",
+ " 100], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>covFI</span></div><div class='xr-var-dims'>(doy)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-94d0e09d-0b33-4fcd-80e3-1dee95982acb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94d0e09d-0b33-4fcd-80e3-1dee95982acb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-254fe93b-001f-41e3-b9f9-7b36e7cdb841' class='xr-var-data-in' type='checkbox'><label for='data-254fe93b-001f-41e3-b9f9-7b36e7cdb841' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>percent</dd><dt><span>long_name :</span></dt><dd>Achieved coverage after cloud-cover correction for Filchner Ice Shelf region</dd><dt><span>valid_min :</span></dt><dd>15.492566</dd><dt><span>valid_max :</span></dt><dd>100.0</dd></dl></div><div class='xr-var-data'><pre>array([100, 100, 100, 100, 100, 100, 100, 99, 99, 99, 99, 99, 100, 99,\n",
+ " 100, 100, 99, 99, 99, 99, 99, 99, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 100, 99, 99, 99, 99, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 100, 100, 100, 99, 99, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 99, 84, 84,\n",
+ " 97, 99, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 15, 15, 93, 97, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 100, 100, 100, 100, 100, 94, 93, 93, 96, 97,\n",
+ " 98, 99, 99, 100, 100, 100, 100, 100, 100, 100, 99, 99, 99, 99,\n",
+ " 99, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 100, 100, 99, 99, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 99, 99, 100, 99, 99, 99, 99, 100, 100, 100,\n",
+ " 100], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>covCL</span></div><div class='xr-var-dims'>(doy)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d30c4680-2032-4af2-81b6-eb466d46511e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d30c4680-2032-4af2-81b6-eb466d46511e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07f21bac-59a5-4d42-863e-58a4c08041bc' class='xr-var-data-in' type='checkbox'><label for='data-07f21bac-59a5-4d42-863e-58a4c08041bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>percent</dd><dt><span>long_name :</span></dt><dd>Achieved coverage after cloud-cover correction for Coats Land region</dd><dt><span>valid_min :</span></dt><dd>39.53967</dd><dt><span>valid_max :</span></dt><dd>100.0</dd></dl></div><div class='xr-var-data'><pre>array([ 95, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 96, 96, 100,\n",
+ " 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 100, 100, 98, 97, 97, 99, 99, 100, 100, 100,\n",
+ " 99, 99, 97, 97, 99, 100, 100, 100, 100, 99, 99, 97, 85, 99,\n",
+ " 99, 99, 100, 100, 100, 100, 100, 100, 100, 99, 99, 100, 100, 100,\n",
+ " 100, 99, 97, 39, 39, 99, 100, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 99, 98,\n",
+ " 95, 97, 99, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 99, 99, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 100, 100, 99, 99, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 100, 100, 99, 99, 99, 99, 99, 99, 99, 99,\n",
+ " 99], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>covBR</span></div><div class='xr-var-dims'>(doy)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-54fd3814-8c45-4890-86c6-b4e535b101b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54fd3814-8c45-4890-86c6-b4e535b101b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9962c48a-8fba-43d5-ba72-fdf165beb8f1' class='xr-var-data-in' type='checkbox'><label for='data-9962c48a-8fba-43d5-ba72-fdf165beb8f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>percent</dd><dt><span>long_name :</span></dt><dd>Achieved coverage after cloud-cover correction for Brunt Ice Shelf region</dd><dt><span>valid_min :</span></dt><dd>50.433277</dd><dt><span>valid_max :</span></dt><dd>100.0</dd></dl></div><div class='xr-var-data'><pre>array([ 91, 99, 100, 100, 100, 100, 100, 100, 100, 100, 99, 99, 98, 98,\n",
+ " 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 100, 100, 99, 97, 89, 88, 91, 95, 99, 99,\n",
+ " 99, 98, 90, 90, 98, 99, 99, 99, 99, 99, 99, 98, 70, 75,\n",
+ " 80, 87, 99, 100, 100, 100, 99, 99, 99, 99, 99, 99, 99, 92,\n",
+ " 88, 81, 55, 50, 52, 99, 100, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 99, 98, 98, 99, 99, 100, 100, 100, 100, 100, 100, 100, 100, 100,\n",
+ " 100, 100, 99, 99, 99, 100, 100, 100, 100, 100, 99, 99, 100, 100,\n",
+ " 100, 98, 98, 99, 100, 99, 99, 99, 99, 99, 99, 99, 99, 99,\n",
+ " 99, 95, 95, 98, 99, 99, 99, 99, 99, 91, 77, 75, 79, 63,\n",
+ " 68], dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f5cc05b5-0ea9-4fc1-b0da-1622bbfda4db' class='xr-section-summary-in' type='checkbox' checked><label for='section-f5cc05b5-0ea9-4fc1-b0da-1622bbfda4db' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>06-Aug-2015 11:37:42</dd><dt><span>title :</span></dt><dd>Thin-ice thickness data set for the year 2012.</dd><dt><span>info :</span></dt><dd>Data derived from MODIS MOD/MYD29 sea ice product (Riggs et al., 2006; Hall et al., 2004) provided by the U.S. National Snow and Ice Data Centre (NSIDC). Methods described in Paul et al. (2015), Preusser et al. (2015) and Adams et al. (2013).Coastal-area masks applied as presented in Paul et al. (2015).</dd><dt><span>author :</span></dt><dd>Stephan Paul</dd><dt><span>contact :</span></dt><dd>paul@uni-trier.de</dd></dl></div></li></ul></div></div>"
+ ],
+ "text/plain": [
+ "<xarray.Dataset>\n",
+ "Dimensions: (lat: 456, lon: 710, doy: 183)\n",
+ "Coordinates:\n",
+ " * lat (lat) float32 -69.01 -69.03 -69.05 -69.07 ... -78.15 -78.17 -78.19\n",
+ " * lon (lon) float32 -64.97 -64.9 -64.84 -64.78 ... -20.16 -20.1 -20.03\n",
+ " * doy (doy) int32 92 93 94 95 96 97 98 99 ... 268 269 270 271 272 273 274\n",
+ "Data variables: (12/13)\n",
+ " TIT (doy, lon, lat) float32 ...\n",
+ " maskAP (lon, lat) int32 ...\n",
+ " maskRO (lon, lat) int32 ...\n",
+ " maskIB (lon, lat) int32 ...\n",
+ " maskFI (lon, lat) int32 ...\n",
+ " maskCL (lon, lat) int32 ...\n",
+ " ... ...\n",
+ " covAP (doy) int32 ...\n",
+ " covRO (doy) int32 ...\n",
+ " covIB (doy) int32 ...\n",
+ " covFI (doy) int32 ...\n",
+ " covCL (doy) int32 ...\n",
+ " covBR (doy) int32 ...\n",
+ "Attributes:\n",
+ " creation_date: 06-Aug-2015 11:37:42\n",
+ " title: Thin-ice thickness data set for the year 2012.\n",
+ " info: Data derived from MODIS MOD/MYD29 sea ice product (Riggs ...\n",
+ " author: Stephan Paul\n",
+ " contact: paul@uni-trier.de"
+ ]
+ },
+ "execution_count": 260,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "fn1=modisdir+\"2012_modisTIT.nc\"\n",
+ "xa_mod=xr.open_dataset(fn1)\n",
+ "xa_mod"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 261,
+ "id": "3c4ce216",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "2012-04-01 92 0 2463\n",
+ "2012-04-02 93 1 2720\n",
+ "2012-04-03 94 2 2806\n",
+ "2012-04-04 95 3 2514\n",
+ "2012-04-05 96 4 2721\n",
+ "2012-04-06 97 5 1566\n",
+ "2012-04-07 98 6 781\n",
+ "2012-04-08 99 7 1023\n",
+ "2012-04-09 100 8 1558\n",
+ "2012-04-10 101 9 2007\n",
+ "2012-04-11 102 10 1491\n",
+ "2012-04-12 103 11 1145\n",
+ "2012-04-13 104 12 1141\n",
+ "2012-04-14 105 13 2357\n",
+ "2012-04-15 106 14 2506\n",
+ "2012-04-16 107 15 1921\n",
+ "2012-04-17 108 16 2636\n",
+ "2012-04-18 109 17 3115\n",
+ "2012-04-19 110 18 4148\n",
+ "2012-04-20 111 19 4720\n",
+ "2012-04-21 112 20 5086\n",
+ "2012-04-22 113 21 10054\n",
+ "2012-04-23 114 22 15005\n",
+ "2012-04-24 115 23 12029\n",
+ "2012-04-25 116 24 7925\n",
+ "2012-04-26 117 25 5035\n",
+ "2012-04-27 118 26 6078\n",
+ "2012-04-28 119 27 4477\n",
+ "2012-04-29 120 28 1369\n",
+ "2012-04-30 121 29 396\n",
+ "2012-05-01 122 30 483\n",
+ "2012-05-02 123 31 773\n",
+ "2012-05-03 124 32 2163\n",
+ "2012-05-04 125 33 5526\n",
+ "2012-05-05 126 34 9013\n",
+ "2012-05-06 127 35 10314\n",
+ "2012-05-07 128 36 11432\n",
+ "2012-05-08 129 37 12455\n",
+ "2012-05-09 130 38 9724\n",
+ "2012-05-10 131 39 11214\n",
+ "2012-05-11 132 40 9748\n",
+ "2012-05-12 133 41 6162\n",
+ "2012-05-13 134 42 5363\n",
+ "2012-05-14 135 43 4344\n",
+ "2012-05-15 136 44 4505\n",
+ "2012-05-16 137 45 2870\n",
+ "2012-05-17 138 46 2403\n",
+ "2012-05-18 139 47 1353\n",
+ "2012-05-19 140 48 1260\n",
+ "2012-05-20 141 49 890\n",
+ "2012-05-21 142 50 1506\n",
+ "2012-05-22 143 51 2962\n",
+ "2012-05-23 144 52 3588\n",
+ "2012-05-24 145 53 4323\n",
+ "2012-05-25 146 54 4715\n",
+ "2012-05-26 147 55 2945\n",
+ "2012-05-27 148 56 2721\n",
+ "2012-05-28 149 57 1783\n",
+ "2012-05-29 150 58 1786\n",
+ "2012-05-30 151 59 1221\n",
+ "2012-05-31 152 60 1980\n",
+ "2012-06-01 153 61 1715\n",
+ "2012-06-02 154 62 1026\n",
+ "2012-06-03 155 63 623\n",
+ "2012-06-04 156 64 643\n",
+ "2012-06-05 157 65 1394\n",
+ "2012-06-06 158 66 1434\n",
+ "2012-06-07 159 67 490\n",
+ "2012-06-08 160 68 72\n",
+ "2012-06-09 161 69 244\n",
+ "2012-06-10 162 70 578\n",
+ "2012-06-11 163 71 600\n",
+ "2012-06-12 164 72 1106\n",
+ "2012-06-13 165 73 1802\n",
+ "2012-06-14 166 74 2297\n",
+ "2012-06-15 167 75 2525\n",
+ "2012-06-16 168 76 2001\n",
+ "2012-06-17 169 77 1183\n",
+ "2012-06-18 170 78 1062\n",
+ "2012-06-19 171 79 1219\n",
+ "2012-06-20 172 80 2766\n",
+ "2012-06-21 173 81 847\n",
+ "2012-06-22 174 82 430\n",
+ "2012-06-23 175 83 336\n",
+ "2012-06-24 176 84 1118\n",
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+ "2012-06-26 178 86 98\n",
+ "2012-06-27 179 87 104\n",
+ "2012-06-28 180 88 238\n",
+ "2012-06-29 181 89 777\n",
+ "2012-06-30 182 90 1332\n",
+ "2012-07-01 183 91 1143\n",
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+ "2012-08-08 221 129 839\n",
+ "2012-08-09 222 130 1561\n",
+ "2012-08-10 223 131 1991\n",
+ "2012-08-11 224 132 811\n",
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+ "2012-08-13 226 134 152\n",
+ "2012-08-14 227 135 293\n",
+ "2012-08-15 228 136 336\n",
+ "2012-08-16 229 137 624\n",
+ "2012-08-17 230 138 1050\n",
+ "2012-08-18 231 139 598\n",
+ "2012-08-19 232 140 302\n",
+ "2012-08-20 233 141 224\n",
+ "2012-08-21 234 142 153\n",
+ "2012-08-22 235 143 157\n",
+ "2012-08-23 236 144 350\n",
+ "2012-08-24 237 145 1952\n",
+ "2012-08-25 238 146 4583\n",
+ "2012-08-26 239 147 2301\n",
+ "2012-08-27 240 148 2324\n",
+ "2012-08-28 241 149 1887\n",
+ "2012-08-29 242 150 1632\n",
+ "2012-08-30 243 151 3130\n",
+ "2012-08-31 244 152 1140\n",
+ "2012-09-01 245 153 719\n",
+ "2012-09-02 246 154 445\n",
+ "2012-09-03 247 155 714\n",
+ "2012-09-04 248 156 1724\n",
+ "2012-09-05 249 157 3607\n",
+ "2012-09-06 250 158 2541\n",
+ "2012-09-07 251 159 2628\n",
+ "2012-09-08 252 160 2684\n",
+ "2012-09-09 253 161 2471\n",
+ "2012-09-10 254 162 3227\n",
+ "2012-09-11 255 163 3422\n",
+ "2012-09-12 256 164 3097\n",
+ "2012-09-13 257 165 2812\n",
+ "2012-09-14 258 166 1730\n",
+ "2012-09-15 259 167 1170\n",
+ "2012-09-16 260 168 962\n",
+ "2012-09-17 261 169 425\n",
+ "2012-09-18 262 170 120\n",
+ "2012-09-19 263 171 862\n",
+ "2012-09-20 264 172 588\n",
+ "2012-09-21 265 173 1463\n",
+ "2012-09-22 266 174 778\n",
+ "2012-09-23 267 175 1203\n",
+ "2012-09-24 268 176 1101\n",
+ "2012-09-25 269 177 1624\n",
+ "2012-09-26 270 178 2777\n",
+ "2012-09-27 271 179 4099\n",
+ "2012-09-28 272 180 7270\n",
+ "2012-09-29 273 181 4130\n",
+ "2012-09-30 274 182 2729\n"
+ ]
+ }
+ ],
+ "source": [
+ "year=2012\n",
+ "L=[]\n",
+ "for di,ti in enumerate(xa_mod.doy):\n",
+ " doy=array(ti)\n",
+ " datestr=str(pd.to_datetime(str(year)+\"-\"+str(doy), format='%Y-%j'))[0:10]\n",
+ " sumgood=sum(isfinite(array(xa_mod.TIT[di,:,:])))\n",
+ " L.append((datestr,sumgood))\n",
+ " print(datestr,doy,di,sumgood)\n",
+ " \n",
+ "La=array(L)\n",
+ "ts1=pd.Series(data=La[:,1].astype(float),index=pd.to_datetime(La[:,0]))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 262,
+ "id": "5a1db02d",
+ "metadata": {},
+ "outputs": [
+ {
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+ " } else {\n",
+ " alert(\n",
+ " 'Your browser does not have WebSocket support. ' +\n",
+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+ " 'Firefox 4 and 5 are also supported but you ' +\n",
+ " 'have to enable WebSockets in about:config.'\n",
+ " );\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
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+ " 'Performance may be slow.';\n",
+ " }\n",
+ " }\n",
+ "\n",
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+ " fig.ws.close();\n",
+ " };\n",
+ "\n",
+ " this.ws.onmessage = this._make_on_message_function(this);\n",
+ "\n",
+ " this.ondownload = ondownload;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._init_header = function () {\n",
+ " var titlebar = document.createElement('div');\n",
+ " titlebar.classList =\n",
+ " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
+ " var titletext = document.createElement('div');\n",
+ " titletext.classList = 'ui-dialog-title';\n",
+ " titletext.setAttribute(\n",
+ " 'style',\n",
+ " 'width: 100%; text-align: center; padding: 3px;'\n",
+ " );\n",
+ " titlebar.appendChild(titletext);\n",
+ " this.root.appendChild(titlebar);\n",
+ " this.header = titletext;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
+ "\n",
+ "mpl.figure.prototype._init_canvas = function () {\n",
+ " var fig = this;\n",
+ "\n",
+ " var canvas_div = (this.canvas_div = document.createElement('div'));\n",
+ " canvas_div.setAttribute('tabindex', '0');\n",
+ " canvas_div.setAttribute(\n",
+ " 'style',\n",
+ " 'border: 1px solid #ddd;' +\n",
+ " 'box-sizing: content-box;' +\n",
+ " 'clear: both;' +\n",
+ " 'min-height: 1px;' +\n",
+ " 'min-width: 1px;' +\n",
+ " 'outline: 0;' +\n",
+ " 'overflow: hidden;' +\n",
+ " 'position: relative;' +\n",
+ " 'resize: both;' +\n",
+ " 'z-index: 2;'\n",
+ " );\n",
+ "\n",
+ " function on_keyboard_event_closure(name) {\n",
+ " return function (event) {\n",
+ " return fig.key_event(event, name);\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " canvas_div.addEventListener(\n",
+ " 'keydown',\n",
+ " on_keyboard_event_closure('key_press')\n",
+ " );\n",
+ " canvas_div.addEventListener(\n",
+ " 'keyup',\n",
+ " on_keyboard_event_closure('key_release')\n",
+ " );\n",
+ "\n",
+ " this._canvas_extra_style(canvas_div);\n",
+ " this.root.appendChild(canvas_div);\n",
+ "\n",
+ " var canvas = (this.canvas = document.createElement('canvas'));\n",
+ " canvas.classList.add('mpl-canvas');\n",
+ " canvas.setAttribute(\n",
+ " 'style',\n",
+ " 'box-sizing: content-box;' +\n",
+ " 'pointer-events: none;' +\n",
+ " 'position: relative;' +\n",
+ " 'z-index: 0;'\n",
+ " );\n",
+ "\n",
+ " this.context = canvas.getContext('2d');\n",
+ "\n",
+ " var backingStore =\n",
+ " this.context.backingStorePixelRatio ||\n",
+ " this.context.webkitBackingStorePixelRatio ||\n",
+ " this.context.mozBackingStorePixelRatio ||\n",
+ " this.context.msBackingStorePixelRatio ||\n",
+ " this.context.oBackingStorePixelRatio ||\n",
+ " this.context.backingStorePixelRatio ||\n",
+ " 1;\n",
+ "\n",
+ " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+ "\n",
+ " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
+ " 'canvas'\n",
+ " ));\n",
+ " rubberband_canvas.setAttribute(\n",
+ " 'style',\n",
+ " 'box-sizing: content-box;' +\n",
+ " 'left: 0;' +\n",
+ " 'pointer-events: none;' +\n",
+ " 'position: absolute;' +\n",
+ " 'top: 0;' +\n",
+ " 'z-index: 1;'\n",
+ " );\n",
+ "\n",
+ " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
+ " if (this.ResizeObserver === undefined) {\n",
+ " if (window.ResizeObserver !== undefined) {\n",
+ " this.ResizeObserver = window.ResizeObserver;\n",
+ " } else {\n",
+ " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
+ " this.ResizeObserver = obs.ResizeObserver;\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
+ " var nentries = entries.length;\n",
+ " for (var i = 0; i < nentries; i++) {\n",
+ " var entry = entries[i];\n",
+ " var width, height;\n",
+ " if (entry.contentBoxSize) {\n",
+ " if (entry.contentBoxSize instanceof Array) {\n",
+ " // Chrome 84 implements new version of spec.\n",
+ " width = entry.contentBoxSize[0].inlineSize;\n",
+ " height = entry.contentBoxSize[0].blockSize;\n",
+ " } else {\n",
+ " // Firefox implements old version of spec.\n",
+ " width = entry.contentBoxSize.inlineSize;\n",
+ " height = entry.contentBoxSize.blockSize;\n",
+ " }\n",
+ " } else {\n",
+ " // Chrome <84 implements even older version of spec.\n",
+ " width = entry.contentRect.width;\n",
+ " height = entry.contentRect.height;\n",
+ " }\n",
+ "\n",
+ " // Keep the size of the canvas and rubber band canvas in sync with\n",
+ " // the canvas container.\n",
+ " if (entry.devicePixelContentBoxSize) {\n",
+ " // Chrome 84 implements new version of spec.\n",
+ " canvas.setAttribute(\n",
+ " 'width',\n",
+ " entry.devicePixelContentBoxSize[0].inlineSize\n",
+ " );\n",
+ " canvas.setAttribute(\n",
+ " 'height',\n",
+ " entry.devicePixelContentBoxSize[0].blockSize\n",
+ " );\n",
+ " } else {\n",
+ " canvas.setAttribute('width', width * fig.ratio);\n",
+ " canvas.setAttribute('height', height * fig.ratio);\n",
+ " }\n",
+ " /* This rescales the canvas back to display pixels, so that it\n",
+ " * appears correct on HiDPI screens. */\n",
+ " canvas.style.width = width + 'px';\n",
+ " canvas.style.height = height + 'px';\n",
+ "\n",
+ " rubberband_canvas.setAttribute('width', width);\n",
+ " rubberband_canvas.setAttribute('height', height);\n",
+ "\n",
+ " // And update the size in Python. We ignore the initial 0/0 size\n",
+ " // that occurs as the element is placed into the DOM, which should\n",
+ " // otherwise not happen due to the minimum size styling.\n",
+ " if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
+ " fig.request_resize(width, height);\n",
+ " }\n",
+ " }\n",
+ " });\n",
+ " this.resizeObserverInstance.observe(canvas_div);\n",
+ "\n",
+ " function on_mouse_event_closure(name) {\n",
+ " /* User Agent sniffing is bad, but WebKit is busted:\n",
+ " * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
+ " * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
+ " * The worst that happens here is that they get an extra browser\n",
+ " * selection when dragging, if this check fails to catch them.\n",
+ " */\n",
+ " var UA = navigator.userAgent;\n",
+ " var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
+ " if(isWebKit) {\n",
+ " return function (event) {\n",
+ " /* This prevents the web browser from automatically changing to\n",
+ " * the text insertion cursor when the button is pressed. We\n",
+ " * want to control all of the cursor setting manually through\n",
+ " * the 'cursor' event from matplotlib */\n",
+ " event.preventDefault()\n",
+ " return fig.mouse_event(event, name);\n",
+ " };\n",
+ " } else {\n",
+ " return function (event) {\n",
+ " return fig.mouse_event(event, name);\n",
+ " };\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " canvas_div.addEventListener(\n",
+ " 'mousedown',\n",
+ " on_mouse_event_closure('button_press')\n",
+ " );\n",
+ " canvas_div.addEventListener(\n",
+ " 'mouseup',\n",
+ " on_mouse_event_closure('button_release')\n",
+ " );\n",
+ " canvas_div.addEventListener(\n",
+ " 'dblclick',\n",
+ " on_mouse_event_closure('dblclick')\n",
+ " );\n",
+ " // Throttle sequential mouse events to 1 every 20ms.\n",
+ " canvas_div.addEventListener(\n",
+ " 'mousemove',\n",
+ " on_mouse_event_closure('motion_notify')\n",
+ " );\n",
+ "\n",
+ " canvas_div.addEventListener(\n",
+ " 'mouseenter',\n",
+ " on_mouse_event_closure('figure_enter')\n",
+ " );\n",
+ " canvas_div.addEventListener(\n",
+ " 'mouseleave',\n",
+ " on_mouse_event_closure('figure_leave')\n",
+ " );\n",
+ "\n",
+ " canvas_div.addEventListener('wheel', function (event) {\n",
+ " if (event.deltaY < 0) {\n",
+ " event.step = 1;\n",
+ " } else {\n",
+ " event.step = -1;\n",
+ " }\n",
+ " on_mouse_event_closure('scroll')(event);\n",
+ " });\n",
+ "\n",
+ " canvas_div.appendChild(canvas);\n",
+ " canvas_div.appendChild(rubberband_canvas);\n",
+ "\n",
+ " this.rubberband_context = rubberband_canvas.getContext('2d');\n",
+ " this.rubberband_context.strokeStyle = '#000000';\n",
+ "\n",
+ " this._resize_canvas = function (width, height, forward) {\n",
+ " if (forward) {\n",
+ " canvas_div.style.width = width + 'px';\n",
+ " canvas_div.style.height = height + 'px';\n",
+ " }\n",
+ " };\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " canvas_div.addEventListener('contextmenu', function (_e) {\n",
+ " event.preventDefault();\n",
+ " return false;\n",
+ " });\n",
+ "\n",
+ " function set_focus() {\n",
+ " canvas.focus();\n",
+ " canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " window.setTimeout(set_focus, 100);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function () {\n",
+ " var fig = this;\n",
+ "\n",
+ " var toolbar = document.createElement('div');\n",
+ " toolbar.classList = 'mpl-toolbar';\n",
+ " this.root.appendChild(toolbar);\n",
+ "\n",
+ " function on_click_closure(name) {\n",
+ " return function (_event) {\n",
+ " return fig.toolbar_button_onclick(name);\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " function on_mouseover_closure(tooltip) {\n",
+ " return function (event) {\n",
+ " if (!event.currentTarget.disabled) {\n",
+ " return fig.toolbar_button_onmouseover(tooltip);\n",
+ " }\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " fig.buttons = {};\n",
+ " var buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'mpl-button-group';\n",
+ " for (var toolbar_ind in mpl.toolbar_items) {\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) {\n",
+ " /* Instead of a spacer, we start a new button group. */\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ " buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'mpl-button-group';\n",
+ " continue;\n",
+ " }\n",
+ "\n",
+ " var button = (fig.buttons[name] = document.createElement('button'));\n",
+ " button.classList = 'mpl-widget';\n",
+ " button.setAttribute('role', 'button');\n",
+ " button.setAttribute('aria-disabled', 'false');\n",
+ " button.addEventListener('click', on_click_closure(method_name));\n",
+ " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
+ "\n",
+ " var icon_img = document.createElement('img');\n",
+ " icon_img.src = '_images/' + image + '.png';\n",
+ " icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
+ " icon_img.alt = tooltip;\n",
+ " button.appendChild(icon_img);\n",
+ "\n",
+ " buttonGroup.appendChild(button);\n",
+ " }\n",
+ "\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker = document.createElement('select');\n",
+ " fmt_picker.classList = 'mpl-widget';\n",
+ " toolbar.appendChild(fmt_picker);\n",
+ " this.format_dropdown = fmt_picker;\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = document.createElement('option');\n",
+ " option.selected = fmt === mpl.default_extension;\n",
+ " option.innerHTML = fmt;\n",
+ " fmt_picker.appendChild(option);\n",
+ " }\n",
+ "\n",
+ " var status_bar = document.createElement('span');\n",
+ " status_bar.classList = 'mpl-message';\n",
+ " toolbar.appendChild(status_bar);\n",
+ " this.message = status_bar;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+ " // which will in turn request a refresh of the image.\n",
+ " this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.send_message = function (type, properties) {\n",
+ " properties['type'] = type;\n",
+ " properties['figure_id'] = this.id;\n",
+ " this.ws.send(JSON.stringify(properties));\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.send_draw_message = function () {\n",
+ " if (!this.waiting) {\n",
+ " this.waiting = true;\n",
+ " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
+ " var format_dropdown = fig.format_dropdown;\n",
+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+ " fig.ondownload(fig, format);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
+ " var size = msg['size'];\n",
+ " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
+ " fig._resize_canvas(size[0], size[1], msg['forward']);\n",
+ " fig.send_message('refresh', {});\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
+ " var x0 = msg['x0'] / fig.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
+ " var x1 = msg['x1'] / fig.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
+ " x0 = Math.floor(x0) + 0.5;\n",
+ " y0 = Math.floor(y0) + 0.5;\n",
+ " x1 = Math.floor(x1) + 0.5;\n",
+ " y1 = Math.floor(y1) + 0.5;\n",
+ " var min_x = Math.min(x0, x1);\n",
+ " var min_y = Math.min(y0, y1);\n",
+ " var width = Math.abs(x1 - x0);\n",
+ " var height = Math.abs(y1 - y0);\n",
+ "\n",
+ " fig.rubberband_context.clearRect(\n",
+ " 0,\n",
+ " 0,\n",
+ " fig.canvas.width / fig.ratio,\n",
+ " fig.canvas.height / fig.ratio\n",
+ " );\n",
+ "\n",
+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
+ " // Updates the figure title.\n",
+ " fig.header.textContent = msg['label'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
+ " fig.canvas_div.style.cursor = msg['cursor'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
+ " fig.message.textContent = msg['message'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
+ " // Request the server to send over a new figure.\n",
+ " fig.send_draw_message();\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
+ " fig.image_mode = msg['mode'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
+ " for (var key in msg) {\n",
+ " if (!(key in fig.buttons)) {\n",
+ " continue;\n",
+ " }\n",
+ " fig.buttons[key].disabled = !msg[key];\n",
+ " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
+ " if (msg['mode'] === 'PAN') {\n",
+ " fig.buttons['Pan'].classList.add('active');\n",
+ " fig.buttons['Zoom'].classList.remove('active');\n",
+ " } else if (msg['mode'] === 'ZOOM') {\n",
+ " fig.buttons['Pan'].classList.remove('active');\n",
+ " fig.buttons['Zoom'].classList.add('active');\n",
+ " } else {\n",
+ " fig.buttons['Pan'].classList.remove('active');\n",
+ " fig.buttons['Zoom'].classList.remove('active');\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function () {\n",
+ " // Called whenever the canvas gets updated.\n",
+ " this.send_message('ack', {});\n",
+ "};\n",
+ "\n",
+ "// A function to construct a web socket function for onmessage handling.\n",
+ "// Called in the figure constructor.\n",
+ "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
+ " return function socket_on_message(evt) {\n",
+ " if (evt.data instanceof Blob) {\n",
+ " var img = evt.data;\n",
+ " if (img.type !== 'image/png') {\n",
+ " /* FIXME: We get \"Resource interpreted as Image but\n",
+ " * transferred with MIME type text/plain:\" errors on\n",
+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
+ " * to be part of the websocket stream */\n",
+ " img.type = 'image/png';\n",
+ " }\n",
+ "\n",
+ " /* Free the memory for the previous frames */\n",
+ " if (fig.imageObj.src) {\n",
+ " (window.URL || window.webkitURL).revokeObjectURL(\n",
+ " fig.imageObj.src\n",
+ " );\n",
+ " }\n",
+ "\n",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " img\n",
+ " );\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " } else if (\n",
+ " typeof evt.data === 'string' &&\n",
+ " evt.data.slice(0, 21) === 'data:image/png;base64'\n",
+ " ) {\n",
+ " fig.imageObj.src = evt.data;\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var msg = JSON.parse(evt.data);\n",
+ " var msg_type = msg['type'];\n",
+ "\n",
+ " // Call the \"handle_{type}\" callback, which takes\n",
+ " // the figure and JSON message as its only arguments.\n",
+ " try {\n",
+ " var callback = fig['handle_' + msg_type];\n",
+ " } catch (e) {\n",
+ " console.log(\n",
+ " \"No handler for the '\" + msg_type + \"' message type: \",\n",
+ " msg\n",
+ " );\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " if (callback) {\n",
+ " try {\n",
+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+ " callback(fig, msg);\n",
+ " } catch (e) {\n",
+ " console.log(\n",
+ " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
+ " e,\n",
+ " e.stack,\n",
+ " msg\n",
+ " );\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "};\n",
+ "\n",
+ "\n",
+ "/*\n",
+ " * return a copy of an object with only non-object keys\n",
+ " * we need this to avoid circular references\n",
+ " * https://stackoverflow.com/a/24161582/3208463\n",
+ " */\n",
+ "function simpleKeys(original) {\n",
+ " return Object.keys(original).reduce(function (obj, key) {\n",
+ " if (typeof original[key] !== 'object') {\n",
+ " obj[key] = original[key];\n",
+ " }\n",
+ " return obj;\n",
+ " }, {});\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.mouse_event = function (event, name) {\n",
+ " if (name === 'button_press') {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " // from https://stackoverflow.com/q/1114465\n",
+ " var boundingRect = this.canvas.getBoundingClientRect();\n",
+ " var x = (event.clientX - boundingRect.left) * this.ratio;\n",
+ " var y = (event.clientY - boundingRect.top) * this.ratio;\n",
+ "\n",
+ " this.send_message(name, {\n",
+ " x: x,\n",
+ " y: y,\n",
+ " button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event),\n",
+ " });\n",
+ "\n",
+ " return false;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
+ " // Handle any extra behaviour associated with a key event\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.key_event = function (event, name) {\n",
+ " // Prevent repeat events\n",
+ " if (name === 'key_press') {\n",
+ " if (event.key === this._key) {\n",
+ " return;\n",
+ " } else {\n",
+ " this._key = event.key;\n",
+ " }\n",
+ " }\n",
+ " if (name === 'key_release') {\n",
+ " this._key = null;\n",
+ " }\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.key !== 'Control') {\n",
+ " value += 'ctrl+';\n",
+ " }\n",
+ " else if (event.altKey && event.key !== 'Alt') {\n",
+ " value += 'alt+';\n",
+ " }\n",
+ " else if (event.shiftKey && event.key !== 'Shift') {\n",
+ " value += 'shift+';\n",
+ " }\n",
+ "\n",
+ " value += 'k' + event.key;\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
+ " return false;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
+ " if (name === 'download') {\n",
+ " this.handle_save(this, null);\n",
+ " } else {\n",
+ " this.send_message('toolbar_button', { name: name });\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
+ " this.message.textContent = tooltip;\n",
+ "};\n",
+ "\n",
+ "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
+ "// prettier-ignore\n",
+ "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";/* global mpl */\n",
+ "\n",
+ "var comm_websocket_adapter = function (comm) {\n",
+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
+ " // object with the appropriate methods. Currently this is a non binary\n",
+ " // socket, so there is still some room for performance tuning.\n",
+ " var ws = {};\n",
+ "\n",
+ " ws.binaryType = comm.kernel.ws.binaryType;\n",
+ " ws.readyState = comm.kernel.ws.readyState;\n",
+ " function updateReadyState(_event) {\n",
+ " if (comm.kernel.ws) {\n",
+ " ws.readyState = comm.kernel.ws.readyState;\n",
+ " } else {\n",
+ " ws.readyState = 3; // Closed state.\n",
+ " }\n",
+ " }\n",
+ " comm.kernel.ws.addEventListener('open', updateReadyState);\n",
+ " comm.kernel.ws.addEventListener('close', updateReadyState);\n",
+ " comm.kernel.ws.addEventListener('error', updateReadyState);\n",
+ "\n",
+ " ws.close = function () {\n",
+ " comm.close();\n",
+ " };\n",
+ " ws.send = function (m) {\n",
+ " //console.log('sending', m);\n",
+ " comm.send(m);\n",
+ " };\n",
+ " // Register the callback with on_msg.\n",
+ " comm.on_msg(function (msg) {\n",
+ " //console.log('receiving', msg['content']['data'], msg);\n",
+ " var data = msg['content']['data'];\n",
+ " if (data['blob'] !== undefined) {\n",
+ " data = {\n",
+ " data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
+ " };\n",
+ " }\n",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(data);\n",
+ " });\n",
+ " return ws;\n",
+ "};\n",
+ "\n",
+ "mpl.mpl_figure_comm = function (comm, msg) {\n",
+ " // This is the function which gets called when the mpl process\n",
+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+ "\n",
+ " var id = msg.content.data.id;\n",
+ " // Get hold of the div created by the display call when the Comm\n",
+ " // socket was opened in Python.\n",
+ " var element = document.getElementById(id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm);\n",
+ "\n",
+ " function ondownload(figure, _format) {\n",
+ " window.open(figure.canvas.toDataURL());\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
+ "\n",
+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+ " // web socket which is closed, not our websocket->open comm proxy.\n",
+ " ws_proxy.onopen();\n",
+ "\n",
+ " fig.parent_element = element;\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error('Failed to find cell for figure', id, fig);\n",
+ " return;\n",
+ " }\n",
+ " fig.cell_info[0].output_area.element.on(\n",
+ " 'cleared',\n",
+ " { fig: fig },\n",
+ " fig._remove_fig_handler\n",
+ " );\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
+ " var width = fig.canvas.width / fig.ratio;\n",
+ " fig.cell_info[0].output_area.element.off(\n",
+ " 'cleared',\n",
+ " fig._remove_fig_handler\n",
+ " );\n",
+ " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
+ "\n",
+ " // Update the output cell to use the data from the current canvas.\n",
+ " fig.push_to_output();\n",
+ " var dataURL = fig.canvas.toDataURL();\n",
+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+ " // the notebook keyboard shortcuts fail.\n",
+ " IPython.keyboard_manager.enable();\n",
+ " fig.parent_element.innerHTML =\n",
+ " '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+ " fig.close_ws(fig, msg);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
+ " fig.send_message('closing', msg);\n",
+ " // fig.ws.close()\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
+ " // Turn the data on the canvas into data in the output cell.\n",
+ " var width = this.canvas.width / this.ratio;\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] =\n",
+ " '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function () {\n",
+ " // Tell IPython that the notebook contents must change.\n",
+ " IPython.notebook.set_dirty(true);\n",
+ " this.send_message('ack', {});\n",
+ " var fig = this;\n",
+ " // Wait a second, then push the new image to the DOM so\n",
+ " // that it is saved nicely (might be nice to debounce this).\n",
+ " setTimeout(function () {\n",
+ " fig.push_to_output();\n",
+ " }, 1000);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function () {\n",
+ " var fig = this;\n",
+ "\n",
+ " var toolbar = document.createElement('div');\n",
+ " toolbar.classList = 'btn-toolbar';\n",
+ " this.root.appendChild(toolbar);\n",
+ "\n",
+ " function on_click_closure(name) {\n",
+ " return function (_event) {\n",
+ " return fig.toolbar_button_onclick(name);\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " function on_mouseover_closure(tooltip) {\n",
+ " return function (event) {\n",
+ " if (!event.currentTarget.disabled) {\n",
+ " return fig.toolbar_button_onmouseover(tooltip);\n",
+ " }\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " fig.buttons = {};\n",
+ " var buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'btn-group';\n",
+ " var button;\n",
+ " for (var toolbar_ind in mpl.toolbar_items) {\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) {\n",
+ " /* Instead of a spacer, we start a new button group. */\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ " buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'btn-group';\n",
+ " continue;\n",
+ " }\n",
+ "\n",
+ " button = fig.buttons[name] = document.createElement('button');\n",
+ " button.classList = 'btn btn-default';\n",
+ " button.href = '#';\n",
+ " button.title = name;\n",
+ " button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
+ " button.addEventListener('click', on_click_closure(method_name));\n",
+ " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
+ " buttonGroup.appendChild(button);\n",
+ " }\n",
+ "\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = document.createElement('span');\n",
+ " status_bar.classList = 'mpl-message pull-right';\n",
+ " toolbar.appendChild(status_bar);\n",
+ " this.message = status_bar;\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = document.createElement('div');\n",
+ " buttongrp.classList = 'btn-group inline pull-right';\n",
+ " button = document.createElement('button');\n",
+ " button.classList = 'btn btn-mini btn-primary';\n",
+ " button.href = '#';\n",
+ " button.title = 'Stop Interaction';\n",
+ " button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
+ " button.addEventListener('click', function (_evt) {\n",
+ " fig.handle_close(fig, {});\n",
+ " });\n",
+ " button.addEventListener(\n",
+ " 'mouseover',\n",
+ " on_mouseover_closure('Stop Interaction')\n",
+ " );\n",
+ " buttongrp.appendChild(button);\n",
+ " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
+ " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
+ " var fig = event.data.fig;\n",
+ " if (event.target !== this) {\n",
+ " // Ignore bubbled events from children.\n",
+ " return;\n",
+ " }\n",
+ " fig.close_ws(fig, {});\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function (el) {\n",
+ " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
+ " // this is important to make the div 'focusable\n",
+ " el.setAttribute('tabindex', 0);\n",
+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
+ " // off when our div gets focus\n",
+ "\n",
+ " // location in version 3\n",
+ " if (IPython.notebook.keyboard_manager) {\n",
+ " IPython.notebook.keyboard_manager.register_events(el);\n",
+ " } else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which === 13) {\n",
+ " this.canvas_div.blur();\n",
+ " // select the cell after this one\n",
+ " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+ " IPython.notebook.select(index + 1);\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "};\n",
+ "\n",
+ "mpl.find_output_cell = function (html_output) {\n",
+ " // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+ " // IPython event is triggered only after the cells have been serialised, which for\n",
+ " // our purposes (turning an active figure into a static one), is too late.\n",
+ " var cells = IPython.notebook.get_cells();\n",
+ " var ncells = cells.length;\n",
+ " for (var i = 0; i < ncells; i++) {\n",
+ " var cell = cells[i];\n",
+ " if (cell.cell_type === 'code') {\n",
+ " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
+ " var data = cell.output_area.outputs[j];\n",
+ " if (data.data) {\n",
+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
+ " data = data.data;\n",
+ " }\n",
+ " if (data['text/html'] === html_output) {\n",
+ " return [cell, data, j];\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "// Register the function which deals with the matplotlib target/channel.\n",
+ "// The kernel may be null if the page has been refreshed.\n",
+ "if (IPython.notebook.kernel !== null) {\n",
+ " IPython.notebook.kernel.comm_manager.register_target(\n",
+ " 'matplotlib',\n",
+ " mpl.mpl_figure_comm\n",
+ " );\n",
+ "}\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Javascript object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
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lsDzZCMBEiABEiABEog5AhTAn6AANudNNT2KeGhFEPMSXMx9caJj5vLjtuP6ow/e+eVdnFEqV9romJpzkAAJkAAJkAAJhEOAAvgTFMCXLl2C/Ane5s+fj6VLl6owhhw5csDOzk4VtJA0aJLGzHRxTdKgSdyvhD58nAZNxkpOX2kSmiBzfJwGTWKAJQ1aunTpVD+ZQ4phMA1a5P+dKT16K+76vwwauLC9EyrmyxD5iTiCBEiABEiABEggUgQogOOgAJasDRs2bFA7mzFjhsr0MHnyZPWzpCLLkCG0SAorBlj6mwphSK5gKYQhmRrkslpYhTAkpCJ4IQxJkxZWIYxcuXKFKIRRq1YtFsKI1NcusHPxEZvx6PnroJFzWpVErcKZojATh5AACZAACZAACUSGAAVwHBTA4t3NnTt3mDuTsIaPyxhLR3MCWC7MmUoh3759W3l+pSiG5PgN3iRG11QK+dWrV+GWQu7evTv27NkDGxsb5f2VAhkshRyZr11g38Kum/Ds1duggVO+KY6GxbNGfiKOIAESIAESIAESiBQBCuA4KIAjdYKfaGcaHpBv0Aa8fvs+6ATHfemAb5xyfKInym2TAAmQAAmQwKdDgDqEAtgq1qq74YlnPveAwDAXU3OtXwjtKoTt+bfKIXFREiABEiABEviPEtBdh4R3rPHei0phixECuhveqzfvkH9wyLzLfWvZo1vVvDHCm5OSAAmQAAmQAAl8IKC7DqEAttK3QXfDe/byDQoPdQ9B/7uqedGnlr2VToTLkgAJkAAJkIA+BHTXIRTAVrJ13Q3v4bNXKDFyi6KfNFF8BLx+h/YVcmNI/UJWOhEuSwIkQAIkQAL6ENBdh1AAW8nWdTe8O08C4DRmm6JvmyoJbj95iWZOOTD2SwcrnQiXJQESIAESIAF9COiuQyiArWTruhvetYfPUWH8DkU/v20KnLv9FI1KZMVPXxe30olwWRIgARIgARLQh4DuOoQC2Eq2rrvhXbj7FNUm7VL0S+X8DF6XH6JWYVvMaVXKSifCZUmABEiABEhAHwK66xAKYCvZuu6Gd/aWP2r9vFvRr14gI7aduYNK+TNgQTsnK50IlyUBEiABEiABfQjorkMogK1k67ob3onrj1F/2h5F/8sSWbHS+zpK5/oMy7qUs9KJcFkSIAESIAES0IeA7jqEAthKtq674R258hBfztyn6Lcplwvz911CkaypsK57RSudCJclARIgARIgAX0I6K5DKICtZOu6G57nhfv45hdPRb9H9XyYuu087DIkx/beVax0IlyWBEiABEiABPQhoLsOoQC2kq3rbnge5++i1a8HFX3J/Tty3SlkSZ0U+wZUt9KJcFkSIAESIAES0IeA7jqEAthKtq674W0/cxvt5nsp+m6Ni6Lv8mP4zCYRvF1rWulEuCwJkAAJkAAJ6ENAdx0SJQG8e3fg7X2jrVKlSka7atNPd8PbdOImuvx5BIkSxMPPX5dAt0VHkCRhfJwdVUcbG+CDkgAJkAAJkIC1COiuQ6IkgOPHj4948eLh/fv3ary8NjV5L/jP8v7bt2+tdb5xdl3dDW+Nzw30WOwNm8QJMKO5I9rOP6TO6sKYuogf/4M9xdkD5MZIgARIgARI4BMmoLsOiZIAPnz4cNC4O3fuoFOnThAvb+PGjWFra4vbt29j2bJl8PDwwC+//II6dejV+xi07oa34vA19F7mgzQ2iTCrRUk0mxt4Ie7k8FpIniThJ/xPCrdOAiRAAiRAAnGfgO46JEoCOPggEb25c+eGm5tbqLn69OkDPz8//PPPP3HfEmJ5h7ob3pKDV9B/5XFkSJkE874thYYz9qoT8BpcA+lTJInl0+ByJEACJEACJKAXAd11iMUCOGXKlFi5ciVcXFxCzbVlyxZ8+eWX8Pf318uqDDyt7oa3YP8luK4+iaxpkuH3tqVR86fAuHKPflWRPa2NAYLsQgIkQAIkQAIkEFUCuusQiwVw5syZ0bp1a4wbNy7UXP369cPChQtx8+bNqJ7Pf3ac7oY3z+MCRq0/jVzpbLCwfRlUnLBDnfXmnpWQ3zblf/bc+WAkQAIkQAIkEBcI6K5DLBbAo0aNgqurqxLBX3zxBTJmzAiJC5awBxG/w4cPx+DBg+PCWcepPehueLN2+mH8pjPIb5sCizqWRalRW9X5rOpWHsWzp4lTZ8XNkAAJkAAJkMB/jYDuOsRiASwTTJ8+XXmAb9y4EZQdQjzD/fv3R/fu3f9rNhMtz6O74Unlt8lbzqFwllRY1sUZhVzdFdfFHcvCOU+6aGHMSUiABEiABEiABMImoLsOiRYBLJO8e/cOAlPCHUT8ZsuWDZIujY2GFxaBie5nMX2Hr/L2rvxfOdgN3KC6/damFKoVsKXZkAAJkAAJkAAJxCABCmDzcOO9NyX6jcED0HVq3Q1v7IbTmLP7Apxyp8XfnZ1RYMhGBLx+p3IC1yuaWVez4HOTAAmQAAmQQKwQ0F2HRMkDPHnyZLRo0ULl/JXX4U4SLx569uwZK4f5KS2iu+ENX3sSv++9hAp50+PPDmVQYsRmPHz+WpVFblIq+6d0lNwrCZAACZAACXxyBHTXIVESwBLa4OnpCScnpwjDHKQqHCvBhcasu+EN+uc4/jpwBVXtM+D3tk4oP247rj96gZENC6OVc65P7h8SbpgESIAESIAEPiUCuuuQKAngT+mA4+pedTe8fst98LfXNdQsZItfvi2F6pN2wu/uMwysWwCdKuWJq8fGfZEACZAACZDAf4KA7jrEIgH88uVLlQGiZs2acHBw+E8YRGw9hO6G13PpUfzjfR31i2bG9OaOaDBtD45ff4wfauTDDzXyx9YxcB0SIAESIAES0JKA7jrEIgEsg5MlSwZ3d3dUqlRJSwOK6kPrbnjdFh3B+mM38WWJrJj8dXE0nb0fBy89QOfKdhhQp2BUsXIcCZAACZAACZCAAQK66xCLBXC5cuXw7bffokuXLgZws4uJgO6G13GBF7acuo2vS2XH+MZF8e1vB7H73F1865wTIxoWoaGQAAmQAAmQAAnEIAHddYjFAvjQoUNo2bIlxo4dizp16iiPMFvEBHQ3vDa/H8TOs3fRqmxOjPyiCLosPIxNJ2+hSclscGtSLGKAVuzhfvIW0iRLhDJ2LNhhxWPg0iRAAiRAAhYQ0F2HWCyAU6ZMiVevXuHNmzdqLhsbG1UNztTk9ePHjy04ov/mUN0Nr8U8T+z1vY925XPDtUEhmGKCJQew5AKOq+3cbX/U/Gk3kiVKAG9XFyRNlCCubpX7IgESIAESIAGzBHTXIRYL4GHDhoUQvGFNOHToUJrgRwR0N7wms/fh0KWHQTG/A/85jkUHrqB6gYz4tU3pOGsva31uoPtib7W/AwOrwzZV0ji7V26MBEiABEiABMwR0F2HWCyAaVpRI6C74TWcsRc+Vx+he7W86F3THiPXncKvey7C2S4dFncqGzWosTBqzi4/jN14Rq20o08V5E6fPBZW5RIkQAIkQAIkEL0EdNchFMDRa0+GZ9Pd8OpO8cCpm0/Q2yU/ulfPh0mbz2Ladl8Uz54Gq7qVN8wxtju6rj6BBfsvq2XXda+AIllTx/YWuB4JkAAJkAAJWExAdx1isQCuVq2a2TmkYlzq1KlRokQJtG3bFlmzZrX4wP4rE+hueC6Td+H8nafoX6cAulTOgxk7fOHmfhb2tinh3jPuptTr8MchbD19R5nhsi7OKJ0r7X/FJPkcJEACJEACGhHQXYdYLIAbNGgAb29v3Lp1C0WKFEHGjBlx584dnDhxApkzZ4adnR18fHzw/v177NixA46OcfeCU2zave6GV9ltBy7ff44h9QuhfYXc+H3vRQxfewo50tpgd7+qsXkUkVqr9s+7ceaWvxozv21pVLHPGKnx7EwCJEACJEACcYGA7jrEYgG8cOFCjB8/HmvWrFFi19T8/PzQsGFD9OvXD/Xr14eLiwvSp0+vimZE1Hx9fTFx4kR4enoqIV2gQAH1t6m9ffsWkyZNwvr163Hq1CmVgUIq0cllu+rVq4eaXuaSinUi0qWfm5sbqlSpEqKfv78/+vTpg+XLl0Mq3Ilne9q0aciZM2eIfufOnUOPHj3g4eGB5MmTo1mzZhg3blyk07/pbnjlxm7DjccBKgWapEJbcvAK+q88jvQpksBrcI2ITMRqnxcd5o4nAYEZT2a1cEQdh8xW2wsXJgESIAESIIGoEtBdh1gsgPPly6cE8JdffhlqLhGT/fv3hwjaxYsXq2IZRlKirV69Gt999x3KlCkDEZzv3r0LIYCfPn2KbNmyoXXr1kpYJ0qUCPPnz8fSpUuVEBfBbWoifgcOHIgxY8Yo7/PcuXOxatUqHDx4MET5Zhlz5MgRJaxTpUoFV1dXPHnyBMeOHQsSt48ePVJebhHFQ4YMUZ7uXr16oXbt2vjzzz8jZYO6G16pUVtx7+lLjP/KAV+XzoHVR6/j+yVHkSJJQpwYXitSLGOrs3/AazgM2/zBtpoUQ+OS2WJrea5DAiRAAiRAAtFGQHcdYrEAlsIXixYtQqNGjULNtXLlSrRo0QIvXrzArl27ULduXTx79izCwxPBK/HD0tq0aQMvL69QHmARp5999lnQXBJiUapUKSVeJdRCmnhybW1t0alTJ0yYMEG9J95j8QIXLVoUS5YsUe8dOHAAZcuWVR5l2aO0K1euIE+ePMoLbKpyJ0J/xIgRuHz5svJmS5Nnl2cUT3TBgsZL+OpueMWGb8bjF68xuWkxfOmYDZtP3kKnhYeRIH48+I6uE2FqvQiNKAY6nL3lj1o/7w6aeWTDwmjlnCsGVuKUJEACJEACJBCzBHTXIRYL4EqVKuHhw4dKPObIkSNoPhGJ9erVQ7p06ZT4/eOPP5QX9uzZs5E60bAEsLkJ2rdvjz179gStIUJYQhnEsysX8Uxt+PDhytMr3mgp1CGhE1OnTsWDBw9CCK+qVasiRYoUWLt2rRpauXJlpEmTBuKhNjUR2XLRb/To0ejdu7fhZ9Pd8AoO2YQXr99iWrMSaFAsC/acv4eWvx5Q/M6Oqo0kCeNegYntZ26j3XyvoDMeUKcAOlfOY/jM2ZEESIAESIAE4goB3XWIxQJYPJ8ShiDhAOJVzZAhA+7evatCB8T7umXLFuUZFQ9sggQJIiUSZXNGBbB4jQsXLgx7e3sV4iBt5syZ6NatG54/fx4iRnfZsmVo2rQprl69qkIp5LV4fCXmOHiTsRKzLCEc0uSCX7t27VTMb/Am6zo7O2PevHmG7Vp3w8s7cAPevHuPOa1KolbhTDh8+QG+mrVf8fNxrYnUNokMs4ytjgs9L2PIqg+x6D2q50Mvl/yxtTzXIQESIAESIIFoI6C7DrFYAMsEAQEB+O2331Sows2bN1X2h9KlS6vUZ0mTWlYpy6gAnjJlCnr27ImdO3dCvNLSxCs7cuRItb/gbevWrUq0S3YKEe3yWsT5pk2bQvQbPHiwEtHiGZYmscYyn8Q1B28VKlRQ4lhCPsw1CdmQP6YmnJycnIJEeLRZ9Ccw0bt372E3cIPa6e9tSqNqgYw4eeMx6k3do97zHFAdmVJbZjcxgWH8pjOYtdMvaOqOFXNjUL1CMbEU5yQBEiABEiCBGCVAAWweb7z3Elhr5WZEAEuIRc2aNfH9998HxfqaBPCoUaNUDHLwJl5p6S9eaokHFgGcMGFCbNy4MUS/QYMGYfbs2bh//36QAJb5fvzxxxD9ypcvj0yZMmHFihVmaUnJaAm9+LiZvNBWxhyrywe8fosCQwL/Z+PP9mVQIV96+N7xR43JgfG1u/tWRY50NrG6JyOL9VjsjTU+N4K6Ni+TA2MaORgZyj4kQAIkQAIkEKcIUAB/4gJYRKx4fGvVqqUutUlMr6mZQiBEAAf3RFsjBIIe4A+GFjybwt+dneGUOy2uPniOihMCLy9u6VkJ+WxTxql/KGQzjWftg9flh0H7alQiK376unic2yc3RAIkQAIkQAIREaAA/oQFsOQalvADiTGW8IXEiROHeBpegovI/K3z+YNnr+A4covJBnYtAAAgAElEQVRa/J+u5VAix2e4/SQAZcZsU+/F1RLDzmO34ebjD+E0tQrbYk6rUtaByFVJgARIgARIwAICFMCfqACWohYSeiBpzyQEQv7+uJnSoEkaM9PFNUmDJnG/EvrwcRo0CYGQnL7SJDRBCnt8nAZNYoAlw4Vkt5Amc0gxDKZBM/4tDEvsPnr+CsVHBIriFf8rh5I5P6S4Mz5zzPV8/fYd7AdvxLv3QNY0yXD90QtUzJceC9uXiblFOTMJkAAJkAAJxBABCuA4KIAla8OGDYGXpGbMmAHx9E6ePFn9LKnIJDWZZF2Q96UAhWSbCN4kp6+pmQphjB07VhXCkEwNclktrEIYUtI5eCEMSZMWViGMXLlyhSiEIeEXLIRh/BsaPNxhc89KyG+bEi9evUVB18C44EUdy6BcnsA8y3GlBd9zFfsM2Hn2rhLpItbZSIAESIAESOBTI0ABHAcF8KVLl5A7d+4wdyZhDSJAzX0ug4Lf3ZPXplLIt2/fVp5fSckmOX6DN4nRNZVCfvXqVbilkLt3767yDdvY2CjvrxTIkIIgkWk6G57f3aeoPmmXwrWzTxXkSp8cb9+9R55/M0PMb1saVewzRgZnjPc9cOE+vv4lME2eZH+Y63ERBTKlxKYfAjOOsJEACZAACZDAp0RAZx0S0TlFOguEXDb79ddfcfr0aZUKTUoVZ8+ePaJ1tPxcZ8M7c+sJav/soc59b/9qKqRA2se5geOSYaw8cg29/vZB8sQJ0KumPUauO4Wc6Wywq2/I/5GKS3vmXkiABEiABEjAHAGddUhEVmFWAEt+XKmGdvz48aA5JGxBcv+eOXMmyAMrpYoPHTqkYmnZQhLQ2fCOXXuEz6fvVUAODqqOjCkDc/4Wct2E568+VIeLSzYzfft5TNx8DvltU6Bd+dzov/I40qdIAq/BNeLSNrkXEiABEiABEjBEQGcdEhEgswJYCjjUqFFDlTY2NXktwnjIkCHo27evKkf81VdfqX6RqZAW0ab+K5/rbHjmqr6VGLEZD5+/xsQmxdC4ZLY4ddQDVh7D4oNXIfG/kv7s+yVHlTf45IjAS5NsJEACJEACJPApEdBZh0R0TmYFsJQ7/uWXX9CoUaOgOUqVKqUKRly8eDHoPSkiIZfKzp8/H9Fa2n2us+Ht97uPZnMD42lPjagFm8QJ1euyY7bh1pMAjG5UBC3K5IxTNvHtbwex+9xdtCiTA1XtM6LDAi9IyukLY+qGyD0dpzbNzZAACZAACZCAGQI665CIjMKsAE6ePDnWr1+PKlWqqDmePXuGNGnSqJjf4N7e3bt3q7RiEh7BFpKAzoYnQlIEpbTzo+sgUYL46nWlCTtw5cFzDG1QCG3Lh30J0lp2VH3STvjdfYa+texRInsaNJ93QG3l9IjaSJY4gbW2xXVJgARIgARIIEoEdNYhEQEzK4ALFy6Mjh074ocfflBziBhu0KABFi5ciBYtWgTNK6nM2rZtC8m+wEYBbCKw9dRt5UGVdnHsBw+qy+RdOH/nKfrXKYAulfPEGZORTCKFXN3x4vVbTPmmOHKktUGjmfvU/g4ProF0KZLEmb1yIyRAAiRAAiRghAAFsHlKZgXwiBEjVIGIn3/+GZkyZUKvXr1UcQj5kzp16qAZBw4cCPECS8owNgpgE4GNx2/if38dQeKE8XFuVJ0gMPWmeuDkjSfo5ZIfParnizMmE7xy3bIuzkidLBFq/rRb7c+jX1VkT2sTZ/bKjZAACZAACZCAEQIUwFEQwJLuTOJ/N2/erEZLYQpJf9akSZOg2QICAlT2B6nC5urqauQstOqjs+GtPnpdXSJLkSQhTgyvFXTuX87ciyNXHqFb1TzoW6tAnLGHE9cfo/60wP+Jk7Rt7969R8UJO9TP7j9Ugn2mlHFmr9wICZAACZAACRghoLMOiYhPhHmAfX198ejRI9jb2yNlypAi4OnTpyoTRN68eUN4hSNaVJfPdTa85Yevoc8yH3xmkwjerjWDjrzZL57Yf+E+OlTIjcH1C8UZU9hy6jY6LvBC/HhQHusnAW/gODKwbPPKruXgmCNulW2OM+C4ERIgARIggThLQGcdEtGhRCiAI5qAn5snoLPhLTpwBQP/OY6MKZPg4KAPeXRb/3YQu+SCnHNOjGhYJM6Yz8L9lzBk9UlkSpUUngOrI+D1WxQYEli2+a8OZVA+b9wq2xxnwHEjJEACJEACcZaAzjokokMxK4CPHDkS0dgQnzs6Okaqvw6ddTa8P/ZdwtA1J5Hts2TY82O1oOPutMALm0/dxtelsmN846JxxgwmbDqDmTv9UDx7GqzqVl4VepGyze/eA3O/LQWXQrZxZq/cCAmQAAmQAAkYIaCzDomIj1kBHD9+fEO5T0UoxIsXD2/fvo1oLe0+19nw5nlcwKj1p2GXPjm29wlMpSftu0VHsO7YTVVo4qevi8cZm+i19ChWel9HnSKZMKtlSbWvIkPd8fTlG5UVomHxrHFmr9wICZAACZAACRghoLMOiYiPWQG8a9euiMaG+Lxy5cqR6q9DZ50Nb8YOX7i5n4W9bUq496wUdNy9//bBiiPXUNchE2a2CBSacaGZYpPblMuFYZ8XVlsqPXor7vq/xNgvHdDMKYcKi5AQDskIIZXs2EiABEiABEggLhPQWYdEdC6MAY6IkAWf62x4P289h5+3nodD1tRY271CEMUBK49j8cErqF4gI35tU9oCutE7tOrEnbh47xkG1CmAzv/mJ67itgOX7j/H4HoF0aGiHfb53gsqjsHcwNHLn7ORAAmQAAlEPwGddUhENA0JYKkCJzHBt27dUuEOkhe4ZMmSSJYsWUTza/25zobn5n4GM3b4wTFHGqzsWj7IDoatOYn5+y6hYr70WNi+TJywDwnjKei6CQGv34UId6gzxQOnbz5Bb5f86F49H9b43ECPxd5qz5t7VkJ+W6ZGixMHyE2QAAmQAAmESUBnHRKRSYQrgEX4SgGMBQsW4NWrV+pikDQRwUmSJFEV4Nzc3GBjwyIBYYHW2fDGbDiNX3ZfQJncabG0s3MQnrEbT2POrgtwypUWf3f58H5EhhqTnz9+/hrFRgTmu/67szOccqdVrxvP2gevyw/xvyp58GPtApi/9yKGrT2lPlvcsSyc86SLyW1xbhIgARIgARKwiIDOOiQicGYF8Js3b1CxYkUcOnQIX331FWrWrIns2bMrESxAN23ahH/++QfOzs6QeGG5NMcWkoDOhmfO0zt581lM3e6LYtnTYHW3D55ha9rOmVtPUPtnD7WF4FXfWv16AB7n76G1c04Mb1gEpr1Lv+nNS6B+0SzW3DbXJgESIAESIIFwCeisQyIyDbMC+LffflMV3tatW6fEb1hNRPDnn3+OuXPnonXr1hGtpd3nOhue5ACWXMAfx/qaLscVyJQSm374cDnOmsax4+wdtP39kNrC2VG1kSRhAvW680IvuJ+8jSYls8GtSTEMXnUcf3peUZ+NaFgY3zrnsua2uTYJkAAJkAAJUABH0QbMCuA6deoga9asmDdvXrhTd+jQATdu3MCGDRuiuIX/7jCdBXDfZT5YdvgaahfOhNmtPmR7mLv7AkZvCJ0ezZpWIJfy5HJe+hSJ4TXYJWgrptRo9RwyY0YLR3T96zA2HL+lPv++ej70dMlvzW1zbRIgARIgARKgAI6iDZgVwCJ+p0yZgsaNG4c79YoVK9CjRw9cv349ilv47w7TWQB/v8Qbq4/eQINiWTCtWYmgQ16w/xJcV59E1jTJsLf/hwIZ1rSCyVvOYeq28yicJRXW96gYtJVB/xzHXweuoKp9Bvze1glfz9mPAxcfqM9blc2JkV/EnUp21uTHtUmABEiABOImAZ11SEQnYlYAJ02aFNu3b0e5cuXCnWPfvn2oVq0aAgICIlpLu891NjyTt/Qrx2yY1PRDztylh67gxxXibU0Cr8EfSiRb0zj6LffB317XUKNgRsxr/SE1m+kin1yKk8txLpN34fydp2qrcS2PsTX5cW0SIAESIIG4SUBnHRLRiYRbCc7T0xNOTk7hznHgwAElklkJLjQmnQ2vwx9e2Hr6Npo5ZcfYLz+UPP7H+xp6LvVBqqQJcWxYrYjsM1Y+N112a1k2B0Z94RC05k9bzmHKtg+5jEuO3IL7z16pzz/ObhErG+UiJEACJEACJBAJAjrrkIgwhSuAv//+e5X5Ibx25coVTJs2jQI4DEg6G55UTNt17i6+dc6JEQ0/hApsOH4TXf86giQJ4+PsqDoR2WesfG7y7PatZY9uVfMGrfnLbj+M2XAGeTIkx5aelZF30Aa8C8wEiHwZU2BLL1Y/jJUD4iIkQAIkQAJRIqCzDokIWLgCOKLBps8lLzA9wKFp6Wx4ptLC7SvkxpD6hYLgbD11Gx0WeKmfL46tq3JKW7s5DHOHf8AbTGpSDF+VzBa0nYWelzFk1QlkTp1UxQY7jtwS9Fm65IlxeMiHC3PWfgauTwIkQAIkQAIfE9BZh0RkDYYqwUU0CT8Pm4DOhvdxEQkTIY/zd9Hq14Pqx3Oj6iBxQuvmj3768g2KDHVX+1nUoQzK5U0fdJgrDl9D72U+SJ0sEVb8zxk1Ju8O+kx0u+/oukgQ3/oCnt8/EiABEiABEgiLgM46JCKLoACOiJAFn+tseA2n74HPtcfoUT0fegVLF3bgwn18/Yunonp8WE2kTJrIAsKWD/W98xQ1Ju9SE23vXRl2GVIETbrpxE10+fMIEiWIhz/blwnat6nD4cE1kC5FEss3wRlIgARIgARIIAYI6KxDIsJpSADv378fO3fuVBXg5FfWkiKtSpUqqgocm3kCOhte7Z9348wtf/SpmR/fVcsXBOno1Uf4YsZe9XNcEJB7zt9Dy18PqP2cGlELNokTBu1VYpglllna1GYl0GOxd4jD3tKzEvLZpuRXgARIgARIgATiJAGddUhEBxKuAL5w4QJatmwJyfQgJZCDNxHCZcuWxcKFC2FnZxfROlp+rrPhVZ+0E353n2Fg3QLoVClP0PmfvvkEdaYElh3e178asqRJZlXbWOZ1FX2XHwszK4XXpQdoPHu/2l+/2vaYsOksUiRJCAmbkLakU1mUtUtn1f1zcRIgARIgARIwR0BnHRKRVZgVwLdu3UKpUqVUfl8pdPHFF18gZ86cygN86dIlrF69GlOnTkWyZMlw6NAh2NraRrSWdp/rbHiVJuzAlQfPMbRBIbQtnzvo7P3uPkX1SYEhBzv6VEHu9MmtahfTtp3HpC3nYG+bEu49Q5ZmPnnjMepN3aP217xMDlXauWDmVPC78xSv3r7DjOaOqFc0s1X3z8VJgARIgARIgAI48jZgVgB369YN69atg4Q/ZMmSJcyZb968qcIgGjRooFKhsYUkoLMAdh67DTcfB2DUF0XQsmzOIDDXHj5HhfE71M/uP1SCfSbrhhAM/Oe4EraV82fAH+1C5ry+eO8Zqk7cqfZaKX8G7D53FxXypoeIeHm2kQ0Lo5VzLpo9CZAACZAACcRJAjrrkIgOxKwAFm/voEGD0KlTp3DnmDNnDsaOHau8wmwUwCYCpqIRE74qiqalP+SSvuMfAKfR21S3Nd+VR9FsaaxqNu3mH8L2M3fwTensGPfVh4Idsqk7TwLgNCZwr3YZkuPC3WeqtPOFu09x8sYT/FAjH36okd+q++fiJEACJEACJGCOAAWwedsItxTyli1bULFixXAty8PDAy4uLiyFHAYlnQ3PlFv356+L44sSWYPoPH7xGsWGb1Y/L+/ijFK50lr1X666Uzxw6mbYYtY/4DUchgXuVdK1vXrzDm3K5VIeYI/z90IV+bDqg3BxEiABEiABEviIgM46JCJjMCuAJdPD+PHj1SW48Jpcguvfvz+uX78e0Vrafa6z4RUYshEBr0PHyQa8fosCQzYpW/irQxmUD5Z31xoGIsUtHjx7hfFfOeDr0jlCbOHtu/fIM3BDiPckpZt4gFcdvYF6Dpkxo4WjNbbNNUmABEiABEggQgI665CI4JgVwN9++y28vb3h6emJ5MnDvqj09OlTlCtXDo6Ojpg/f35Ea2n3uc6GJ8JRBOQvrUqiZuFMQWf/7t172P0rKn9rUwrVCljv8mRwMS7xvxIH/HGzH7wRL9+8C3pbYpolNvjXPRdR1i4tlnRiKkDtvth8YBIgARL4RAjorEMiOiKzAtjX1xclS5ZUF+AGDx6Mzz//HClTBl5YEuG7Zs0ajBw5Ejdu3MCRI0eQJ8+HVFcRLarL57oaXnDP6fy2pVHFPmOII88/aKPKojC7pSNqF7FeFoXL95+hslvgJTdzF/JMHmLTA8xq4YgL957Bzf0s8tumwOaelXUxZz4nCZAACZDAJ0ZAVx1i5JjCzQO8d+9efPPNN0rkSkuTJvDC0qNHj1Re4GzZsmHJkiXKC8wWmoCuhhfcs/pxeWGhJKWHJZfulG+Ko2HxD/HBsW1DwavS+bjWRGqb0FXpyo/bjuuPXgRtbWmnssoD3H/lcaRPkRheg11ie9tcjwRIgARIgAQMEdBVhxiBE2EluJcvX+Lvv//Grl27guJ8TZXgmjRpgiRJWArWHGhdDe9JwGsU/ffy2LIuzij90UW3oAwRjYuiaakPGSKMGGx09ll37Aa+W+StLridHVlb5bj+uLlM3oXzd54Gvb21VyVcvPccHRd4IX48wHd0XcSXF2wkQAIkQAIkEMcI6KpDjBxDhALYyCRR6SMhFhMnTlQxxidOnECBAgXU3x+3DRs2qHRsp0+fVh7nXr16oWvXrqH6yVzTp0+HFPBwcHCAm5ubKtccvPn7+6NPnz5Yvnw5RNhXq1ZN5S+WlG/B27lz51TxD8lwIfHPzZo1w7hx41TRj8g0XQ3v3tOXKDVqq0K1qlt5FM8eMtVZubHbcEPy6H5RBK2C5QiODNvo6Pv73osYvvYUsqZJhr39q4U5ZcMZe+Fz9VHQZ0eGuCgP8Fez9qn35Oe0yRNHx3Y4BwmQAAmQAAlEKwFddYgRiFYTwFJJ7rvvvkOZMmUggvPdu3ehBLAU4ahUqRLkQp5ko5CQjKFDh0JyD3fo0CHo+UT8Dhw4EGPGjFEX8ubOnYtVq1bh4MGDSgybWv369VW88qRJk5AqVSq4urriyZMnOHbsWJC4lfCOIkWKKFE8ZMgQ3LlzR4nu2rVr488//zTCNKiProZ38/ELOI/drjhs6FERhbKkCsGtitsOXLr/HIPrFUSHitYroz1h0xnM3OmnBLoI9bBas188sf/CffWROHrPj66Lqw+eo8q/BTLEI5w3o3WLeUTKKNmZBEiABEhAGwK66hAjB2xWABctGrIoQHiTya+OfXx8jKwX1EcEb/z48dXPbdq0gZeXVygBXKdOHTx48AAHDhwIGieFOaRCnRyqjBdPrpRhlvcnTJig+r19+1YJX3kGiVGWJnOULVsW69evR926ddV7V65cUZf3xAvcpUsX9Z6kfhsxYgQuX76M9OnTq/cWLVqEFi1a4NSpUyhYsKDh59TV8K7cf45KboHV3sISiLV+2o2zt/3Rr7Y9ulbJa5hndHfsu8wHyw5fg0shW8z9tlSY03f44xC2nr6jPhNPr3h8g4d4SExwGbt00b01zkcCJEACJEACFhPQVYcYAWdWAIu4lKwPtWrVMpsGLfgCv//+u5H1wuwTlgAWYSteWgk96NmzZ9A4iUWW0AYRzJKlYseOHSqUQTy7JUqUCOo3fPhw5el9/Pixiu0Uz/HUqVOVoA4e61m1alWkSJECa9euVWMrV66sLvuJh9rUZC+pU6fG6NGj0bt3b8PPqavh+d55ihqTdylOu/pWQc50IdPoNZi2B8evP8b31fOhp4v1Kqm1+f0gdp69i+ZlcmBMow+/KQh+wN0Xe2OtT+Al0LwZU2Brr8rqAqj94E0qk8XMFo6o62C9TBaGjZEdSYAESIAEtCOgqw4xctBmBbDE2Uqs7PPnz9GgQQM0b94c4pFNmDChkXkj1ScsASze1sKFC2Pjxo0q/MDU7t69i4wZM0IKcEhYxMyZM9GtWze1z+AxusuWLUPTpk1x9epVFTssr8XjKzHHwZuMdXd3h8QkS5O527Vrp4R38CZ7cXZ2xrx58ww/m66Gd+rGE9Sd6qE47R9QDZlTh4ydbjxrH7wuP8T/quTBj7ULGOYZ3R3rTfVQJY3DE+I/Lj+GpV5X1dJOudPi786BeX/LjtmGW0+sH8cc3Uw4HwmQAAmQwH+HgK46xMgJhhsDLKEEmzdvViEA4hFNnDgxGjdurMIBIiqRbGRxU5+wBLDE+1aoUAESByyhC6b25s0bJEqUCFOmTFEX1cQrK/mIAwICQiy5detWVaJZQjMkFEJeJ0iQAJs2BVYhMzXJcSwiWjzD0mRumU+q2wVvshcRxytXrjT7aBJPLH9M7ebNm3BycgoS4ZFh8in3lUtjcnlMmtfgGkifImSmkOZzPbHP7z7alc8N1waFrPaoTqO34o7/S0hxi5ZmLuMNX3sSv++9pPZYp0gmzGpZUr02lVDuWSM/vq+Rz2rPwIVJgARIgARIwBwBCmDztmH4EtyLFy/UxbLFixcrj6nE3Up2hs6dO1tseeEJYPHYykU5UzMJYAln6N69uxLAo0aNguwveNuyZQtq1qypLrhJPLAIYPFei0c5eJNnmD17Nu7fD7zoJAJY5vvxxx9D9CtfvjwyZcqEFStWmH3eYcOGQUIvPm4mL7TFoD6RCbwuPUDj2fvVbn2G1kTqZCHz67b9/SB2nL2LFmVyYLSZ0IOYflSpSJdv8EZVrW5Oq5KoFaxaXfC13dzPYMYOP/VW8P22+vUAPM7fQ2vnnBjesEhMb5fzkwAJkAAJkECkCVAAR4MANk1x8eJFdWlMBKhUhwvPI2r0pKIjBEIEcNKkSYOWtEYIBD3Agfj3+d5D83mBFxdPj6iNZIkThDCFLgsPY9PJW2hSMhvcmhQzaibR2u/+05co+W+qtpVdy8Exx2dhzj9jh6+q+iatR7W86FXTXr3+YYk3Vh29gXpFM2NGc8do3RsnIwESIAESIIHoIEABbKEAllRgS5cuVaEQklpMUo1Jblz5kzmz5ReAeAkuOsw87syx8+wdtPn9kNqQ35i6SPBRoYgei72xxucGPi+WBVObfbi4GJtPcObWE9T+OTBO2aNfVWRPaxPm8qZcwfLhsAaF0KZ8btVvxNpT+G3vRTjbpcPiTh9CdGLzGbgWCZAACZAACYRHgAI4CgJYikbIr/tF9G7fvh12dnZK8Er8b/780XtzP7w0aJKXV+KATU3Sla1ZsyZUGjR533RxTWKXJe5XQh8+ToMW/FKdhCbIc32cBk1igCUNWrp0gemtZA55dqZBM/YPzZZTt4MqpV0YWy/UIFP6sdqFM2F2q8CY2thuHufvotWvB9WyZ0bWRtJEIb3Upv38fegq+q04pn4UsS6iXZrJM2xvmxLuPSvF9va5HgmQAAmQAAlESIACOAoC2MbGRsXDNmzYUGWAkMtc4bW0adNGeBDBO0jWBqnypsTEjBnw8/PD5MmT1c+SiixDhgxK+EohDBHIIrzlYpwUrzBXCGPs2LHKOy2ZGiQ0I6xCGN7e3iEKYUiatLAKYeTKlStEIQxJB8dCGMaOeMPxm+j61xEkkRLDo+qEGjTon+P468AVVLXPgN/bhm9XxlaMfK+VR66h198+SJk0IY4Pq2V2AkmBJqnQpP3VoQzK5w3MDb3k4BX0X3lcXfCTi35sJEACJEACJBDXCFAAR0EAm4pUyNDgeXPNTSVe18i0S5cuIXfuwF8nf9wkt6+pjLGIZKnyFrwUsqQuC94kL6upFPLt27eV51eKYkiO3+BNYnRNpZBfvXoVbilkuWC3Z88eyP8IiPdXCmSwFLKxE17lfR0/LD1qVlyawgfK5UmHRR2tEz4wZ5cfxm48A7sMybG9d8iS2cGfctvp22j/h5d6K3hVu80nb6HTwsMqvOP8qDqI/1GYhzFS7EUCJEACJEACMUeAAjgKAviPP/6I1Im0bt06Uv116Kyr4f3tdRX9lh9DuuSJcXiIS6ijHr/pDGbt9EOpnJ9h+f/KWcUURq07hXl7LobI7RvWRvb73UezuYG5ow8MrA7bVIEXLQ9deoAm4WS6sMpDcVESIAESIAESCEZAVx1ixAgMp0EzMhn7hCSgq+H9deAyBv1zAplSJYXnwOqhzOKnLecwZdt5OGRNjbXdK1jFbL5f4o3VBrI4+Ae8VpflsqZJhiWdygZ5ek9cf4z60/aovR8cWB0Z/xXGVnkYLkoCJEACJEACYRDQVYcYMQYKYCOUothHV8Obv/cihq09hexpk8GjX7VQ9Gbu9MWETWdhzQtkpmIcbcrlwrDPC4d7wpIrWCIcgocCnb/tD5efdqtx4WWRiKLpcBgJkAAJkAAJWExAVx1iBBwFsBFKUeyjq+H9stsPYzacQZ4MybEtjPjaeR4XMGr9aeRKZ4OdfUPGaUcRdaSHuUzehfN3nqJvLXt0q5o30uOvPniOihN2qHFbelZCPtuUkZ6DA0iABEiABEggJgnoqkOMMKUANkIpin10NTxTirACmVJi0w+hU4Qt9LyMIatOIHPqpNg/IHSIRBRxR2pY8RGb8ej5a0xoXBRNS2WP1FjpfMc/AE6jt6lxa7+rAIdsqSM9BweQAAmQAAmQQEwS0FWHGGFKAWyEUhT76Gp4phjfotlSY813oWN8I7okF0Xchoe9fPMW9oM3qf6/ty2NqvYZDY81dXwS8BpFh21WPy7v4oxSuSKXBjDSC3IACZAACZAACUSSgK46xAgmCmAjlKLYR1fDM2V5KJnzM6wII8vD6qPX8f2So0iRJCFODDefgzeK2CMcduPRC5Qbt131W9e9Aopkjbz3NriI/rN9GVTIF5gfmI0ESIAESIAE4goBXXWIEf4UwEYoRbGProZnSjFmrkzwphM30eXPI0icID7OjQ5dKCOKuA0P87n6CA1n7FX9o5rBQXJP2w3cgL9KRZAAACAASURBVPfvgXnflkKNQraG12dHEiABEiABEogNArrqECNsDQngFy9eQMoDL1++XJUgfvnyZYi55Xb8mzdvjKynVR9dDW/o6hP4Y/9lVMqfAQvaha70tv3MbbSbH1hc4sKYurFeRGLrqdvosMAL8eJBFbFImCB+lOyy4JBNePH6LaY3L4H6RQNLJLORAAmQAAmQQFwhoKsOMcLfkABu164dFi1ahCZNmqBQoUJInDhxqLl79+5tZD2t+uhqeANWHsfig1dQo2BGzGtdOtSZ7/W9hxbzDqj3z4ysjaSJEsSqXXwoY5wYXoNDF+owuhnTRbpJTYrhq5LZjA5jPxIgARIgARKIFQK66hAjcA0J4AwZMsDV1RVSHpjNOAFdDa/33z5YceQa6jpkwswWJUMBs3YVtWnbzmPSlnMwl6XC6AmXHbMNt54EYHSjImhRJqfRYexHAiRAAiRAArFCQFcdYgSuIQGcKVMmLFiwADVr1jQyJ/v8S0BXw+ux2BtrfG6gYfEsmPJNiVD2cOzaI3w+/d8Y3EHVkTFlYHnh2Gquq09gwf7LqJgvPRa2LxPlZau47cCl+88xpH4htK+QO8rzcCAJkAAJkAAJxAQBXXWIEZaGBPCwYcPg5+eHhQsXGpmTfTQXwP/78zA2nriFxiWzYWKTYqHs4ewtf9T6ObCK2p4fqyLbZzaxajOm/X3pmBWTmxaP8tq1ftqNs7f90a+2PbpWiXwxjSgvzIEkQAIkQAIkYIAABbB5SIYEsJubG2bMmIHMmTPDxcUFadKkCTGjXILr2bOngaPQq4uuhtd+/iFsO3MHzZxyYOyXDqEO/eK9Z6g6cad6f1vvysiTIUWsGkbjWfvgdfkhOle2w4A6BaO8dsPpe+Bz7TF6VM+HXi75ozwPB5IACZAACZBATBDQVYcYYWlIAMePH/4teRHAb9++NbKeVn10NbxWvx6Ax/l7aFMuF4Z9XjjUmQfPw7uhR0UUypIqVu2istsOXL7/HIPrFUSHinZRXrvpnP04ePEBOleyw4C6URfSUd4AB5IACZAACZBAOAR01SFGjMKQADYyEfuEJqCr4X3zy354XniAjhVzY1C9QqHA3Hv6EqVGbVXvr+pWHsWzh/yNQkzbUiHXTXj+6i2mfFMcDYtnjfJyEQn9KE/MgSRAAiRAAiQQDQR01SFG0FEAG6EUxT66Gt5Xs/bh8OWH6FolD/rVLhCKnn/Aazj8W0Z4aaeyKGOXLoqEIz/s2cs3KDzUXQ1c1KEMyuWNegW3jgu8sOXUbXxTOjvGfVU08pvhCBIgARIgARKIQQK66hAjSM0K4CNHjqBgwYJIliwZ5HVEzdHRMaIu2n2uq+E1mLYHx68/xg818uGHGqFjY1+9eYf8gzcqe1jY3gkV82WINdu4dO8Zqvwbf7ylZyXks00Z5bW7L/bGWp8b+KJ4FvwcRraLKE/MgSRAAiRAAiQQDQR01SFG0JkVwBL36+npCScnJ8hrifMNq0lJWMYAh41aV8Or/fNunLnlj7617NGtaujsCGIzuQdsUNBiu4yweKbFQy3tyBAXpE0euqiLkS+O9OmzzAfLD19DnSKZMKtl6HzHRudhPxIgARIgARKICQK66hAjLM0K4F27dqFkyZJIkSIF5HVErXLlyhF10e5zXQ2v2qSduHD3GQbVLYiOlcK+ZGY/eCNevnmHGc0dUa9o5lizjeisQjd41XH86XkFVe0z4Pe2oUs+x9pDcSESIAESIAESCIOArjrEiDEwBtgIpSj20dXwKozfjmsPX2BYg0JoUz7sAhEOw9zhH/AGP31dDI1KxF4Z4W2nb6P9H17qRC+OrWv2NxtGjnzUulOYt+cinO3SYXGnskaGsA8JkAAJkAAJxBoBXXWIEcAUwEYoRbGProZXZsxW3H7yEmMaOaB5mRxh0pMsEJINYtyXDvjGKew+UcQe7rB1x27gu0XeSJIwPs6OqmPREm7uZzBjhx9K5EiDf7qWt2guDiYBEiABEiCB6Cagqw4xwpEC2AilKPbR1fAcR27Bg2ev4Na4KJqUyh4mvfLjtuP6oxcY0bAwvnXOFUXCkR8mMbsSu5s6WSL4DLWstPe0becxacs5FMqcChu+rxj5zXAECZAACZAACcQgAV11iBGkFMBGKEWxj66G5zDUHf4v34SbZ7faxJ24cC/8OOEoYg932J+elzF41QnYpkqCAwNrWLTE3N0XMHrDadhlSI7tvatYNBcHkwAJkAAJkEB0E9BVhxjhSAFshFIU++hqeJLiTFKdzWrhiDoOYV9wiyhTRBSRRzhsnscFjFp/GrnS2WBn36oR9g+vw8L9lzBk9UlkTZMMe/tXs2guDiYBEiABEiCB6Cagqw4xwpEC2AilKPbR0fAkxZndwA14/z78FGcNp++Bz7XH6FEtL3rVtI8i4cgPm7HDF27uZ1EgU0ps+qFS5CcINuLvQ1fRb8UxpE+RGF6DXSyai4NJgARIgARIILoJ6KhDjDI0JID9/f3x8uVLpE//oWrWX3/9hdOnT6N69eqoWtUyT5rRzX5q/XQ0vDdv3yHvoMAiF3+0c0Ll/GEXuWg6ez8OXnqAzpXsMKBuwVg72kmbz2Ladl8Uy54Gq7tZdnFt9dHr+H7JUaRIkhAnhteKtWfgQiRAAiRAAiRghICOOsQIF+ljSAA3bNgQWbJkwaxZs9S8I0aMwLBhw5A2bVo8fPgQixcvRtOmTY2uqU0/HQ3vxau3KOi6SZ3xoo5lUC5P2KWGW847gD2+99CmXC4M+7xwrNnE6PWnMNfjIsrkToulnZ0tWtf95C10XngYCePHg++YuhbNxcEkQAIkQAIkEN0EdNQhRhkaEsAifmfMmIFGjRpBfsWdKVMmdOzYEaNGjUKvXr3g4eGBQ4cOGV1Tm346Gt7j569RbMRmdcYr/ueMkjnThnne7ecfwrYzd9DMKQfGfukQazYxZNUJLPS8rDzT4qG2pO08ewdtfg+0e9/RdZAwQXxLpuNYEiABEiABEohWAjrqEKMADQngpEmTYsuWLahYsSK8vLxQpkwZnD9/HnZ2dti5cyc+//xzPHnyxOia2vTT0fDu+r9E6dFb1Rmv+a48imZLE+Z5d/3rMDYcv4WvHLNhUtNisWYTfZf5YNnha6hV2BZzWpWyaF3PC/fxzS+eao6Tw2sheZKEFs3HwSRAAiRAAiQQnQR01CFG+RkSwLly5cKAAQPQuXNnDB8+HAsWLICfn59aY/369WjVqhUePHhgdE1t+uloeDcevUC5cdvVGW/8viIKZk4V5nn/sMQbq47eQP2imTG9uWOs2UT3xd5Y63MDDYtnwZRvSli07tGrj/DFjL1qjsODayBdiiQWzcfBJEACJEACJBCdBHTUIUb5GRLAffv2xS+//IKaNWtiw4YN+PHHH+Hq6qrWkDCItWvX4sCBA0bX1KafjoZ36d4zVJm4U53xtt6VkSdDijDP+8flx7DU6ypcCtli7reWeWIjY1AdF3hhy6nb+LpUdoxvXDQyQ0P1PX3zCepM8VDvSxo0SYfGRgIkQAIkQAJxhYCOOsQoe0MC+M2bNxgzZoyK83V0dMTgwYORKFEitYbEBVeoUAG9e/c2uqY2/XQ0vPO3/eHy0251xh79qiJ7Wpswzzs6Y3EjY1Ctfj0Aj/P30No5J4Y3LBKZoaH6Xrz3DFX/Ffvbe1eGnRmxb9EiHEwCJEACJEACUSSgow4xisqQADY6GfuFJKCj4Z288Rj1pu5RIDwHVEem1EnDNItR605h3p6LKGuXFks6WZaNITJ212T2Phy69DBa0q/dfPwCzmMDwz029KiIQlnCDveIzP7YlwRIgARIgASii4COOsQoOwpgo6Si0E9HwzMaF+vmfgYzdvjBMUcarOxqWT7eyBxNg2l7cPz6Y3xfPR96uuSPzNBQfR88ewXHkVvU+yu7loNjjs8smo+DSYAESIAESCA6CeioQ4zyMyuAU6ZMiXjx4hmdh1kgwiClo+EdvPgATefsVzSOD6uJlEkDQ2U+blO2nsdPW8+hcJZUWN+jomE7s7Sjy+RdOH/nKX6sXQD/q5LHoumev3qDQq7uao7FHcvCOU86i+bjYBIgARIgARKITgI66hCj/MwKYCl0ERkBPHToUKNratNPR8Pb63sPLeYFXog8M7I2kiZKEOZ5z97lh3EbzyBvxhTY2qtyrNlExQnbcfXBCwxtUAhty+e2aN23794jz8ANao7f25ZGVfuMFs3HwSRAAiRAAiQQnQR01CFG+cX5EIhVq1Zh7NixquxysmTJUL58efWzvb19iGeU7BSDBg1S/bJly6YKdHTt2jUUh4kTJ2L69Om4desWHBwc4ObmhipVqoToJ6Wf+/Tpg+XLl6sS0NWqVcO0adOQM2dOo1xVPx0Nb8fZO2j7b3GIC2PqIn78sH+L8Nueixix7hRypLXB7n6xV0pbchRLrmIpviFFOCxt+QZtwOu37zG7pSNqF8ls6XQcTwIkQAIkQALRRkBHHWIUXqQFsFSCu3nzJjJmzIiECWM28f/WrVtV6rWWLVuqXMOPHj1SJZil6MbJkyeRKlXgpaP9+/ejUqVK+Pbbb1XfvXv3QjzSc+bMQYcOHYJYiPgdOHCgymgh2Szmzp0LEdgHDx5UYtjU6tevjyNHjmDSpElqDUn5JmseO3ZMiXCjTUfDM1oe+K8DlzHonxOwTZUEBwbWMIrU4n4Ow9zhH/AGP31dDI1KZLN8vqHu8H/5BlO+KY6GxbNaPB8nIAESIAESIIHoIqCjDjHKzrAAdnd3V6LS29sbb9++VaJRRGSnTp1QuXJltGjRwuiahvuJeN22bRsuXLgQFI4h60olOvH41qlTR80lf0shjuC5iGVf69atU17Y+PHjK0+ura2t2u+ECRPUOHkOEb5FixbFkiVL1HsyR9myZVWBj7p166r3rly5gjx58igvcJcuXQzvX0fDW3fsBr5b5I1kiRLg9MjaZlkt87qKvsuP4TObRPB2rWmYqaUd8w/aiFdv32FWC0fUcbDcY1tq1Fbce/oS479ywNelLfcoW/p8HE8CJEACJEACJgI66hCjp29IAC9evFh5Vhs3bqzCAf73v/+pksgigMePH6/KJIu3Nrpb69atleAWz6upnTt3ToU/mASqCFvx0o4bNw49e/YM6rdr1y4V2iD7LFmyJHbs2KH2Lp7dEiU+VACTynbi6X38+LES2SLyp06dqgR18BjoqlWrIkWKFKroh9Gmo+H9430NPZf6IFXShDg2rJZZVGt8bqDHYm/YJE6AUyPMC2WjrI30CxGz26Y0qhawPGa3wvjtuPbwBYZ/Xhity+Uysg32IQESIAESIIFYIaCjDjEK1pAALlSokPKyilAUr6kUwTAJYPGyiqdWYmqju+3evRvVq1fH5MmTg0IgevToAV9fXyWMkyRJglOnTqFw4cLYuHEjatf+IKTu3r2rwjQWLlyoxPvMmTPRrVs3PH/+PEQYw7Jly9C0aVNcvXpVxQ7La/H4enp6hngcGStecFnbaNPR8P4+dBX9VhxD+hSJ4TXYxSwqU6hEgvjx4Dcm0NMe0y141oZFHcugXJ70Fi9ZfdJO+N19hgF1CqBzZcuySli8GU5AAiRAAiRAAsEI6KhDjBqAIQGcNGlS5XEVMfqxABbPqoQKvHjxwuiakeonArt58+aQi2nSRIyLEBWxKk3ifaUSncQBS+iCqUn1OhHqU6ZMgYjm0aNHY+TIkQgICAixvniuXVxc4OPjo0Ih5HWCBAmwadOmEP2k+p2IaPEMm2sSJyx/TE1ipZ2cnILEdaQe/BPtvNDzMqTKW5bUSbFvQHWzTxH8spzv6DpImCB+jD/x/acvUXJU4G8qoitvb72pHjh54wl6ueRHj+r5YvwZuAAJkAAJkAAJGCVAAWyelCEBnCtXLvTt21d5UD8WwCIwZ82ahTNnzhg9D8P99u3bp8R1mzZt8Pnnn6swBbnAJiJWhK+EPpgEsHhsJTb4YwEs4Qzdu3dXAnjUqFGhhLqEb8hFOwmzkHhgEcByuU88ysGbZJiYPXs27t+/b3b/ckFPQio+bibvsuEH/4Q7mrI75Exng119zWd32Od3D83nBqZLOzWiFmwSx+yFSlnn+qMXKD8ueiu3fTVrHw5ffoiuVfKgX+0Cn/DJceskQAIkQAL/NQIUwBYKYMmcIBkT5KKYxNWKZ/Xw4cPq71q1aqmYYPGQRncrVaoUcuTIgZUrVwZNLaEN4v2VVGiS6iyyIRDiqRaPtqlFZwgEPcDAnF1+GGsgv+/hyw/w1azAghlHXV2QxiZxdJtPqPn87j5F9Um71Ps7+lRB7vTJLV6z+VxP7PO7j3blc8O1QSGL5+MEJEACJEACJBBdBCiALRTAr169QpMmTdQFsHTp0ikvqMTXihiVlGErVqyIkZRoNjY26N+/v0pDFrzlzp1beYZnzJihsjvwElx0fVUsn2f69vOYuPkcCmVOhQ3fm6/wduL6Y9SftkctuH9ANWRObTy9XFR3efLGY9SbGr1rtpt/CNvP3EGLMjkwutGHVHpR3SPHkQAJkAAJkEB0EaAAtlAAm4ZLvK+EDNy7dw9p06ZFjRo11J+YagULFkT+/PmxevXqoCXksp14hSWkQcIypMkFPckRLHHApibpytasWRMqDZq8LxkjpEk4h8T9SujDx2nQgl+qkxAGOzs7pkEzcNCTN5/F1O2+KJY9DVZ3K292RHBv7PbelWGXIYWB2S3rIqEKErIgzXuICz5LbrnXuetfh7Hh+C185ZgNk5oWs2yDHE0CJEACJEAC0UiAAthCAXzjxg1kyZLF7CyHDh1C6dKlo/HIAqeSim0Svyuxxw0bNlQiV2KAL1++rAphZM4cmMfVVAhDYoUlH7HEBYvX2FwhDAmfkBRu8+bNU+EVYRXCkCwTwQthSPwxC2FEfMRS3ljKHJfO9RmWdSlndsDNxy/gPDYwHndd9wookjV1xJNb2GOf7z00/7dM8+kRtZEscdhlmiOzTM+lR/GP93XUK5oZM5o7RmYo+5IACZAACZBAjBKgALZQAEvYg1x0kxRhwZt4UOXSl3hUJUwiuptUnZPYY8m+IOnHJA+vZFUQ72/wym2yrhTGkFjl4KWQRTgHbzKfqRTy7du31RxSFENy/AZvEstrKoUsz8VSyMZPduS6U/h1z0WUy5MOizp+yMrx8QyPn79GsRGb1dvLujijdK60xheJYs/tZ26j3XwvNTq8Ms2RmX7AymNYfPAqahS0xbzWpSIzlH1JgARIgARIIEYJUABbKIBFSIoAbtasmRKjqVOnVlkfpDyxXEITEfmx2IzRE/1EJtfR8CQFmqRCq2KfAfPbOpk9qVdv3iH/4MBMGwvaOaFS/gwxfqobjt9E17+OIHHC+Dg3KrCKoKVt2JqTmL/vEirmS4+F7T9kIbF0Xo4nARIgARIgAUsJ6KhDjDIzlAZNJpPcu+3bt1fV0STMQMoCFylSRBWakDhdttAEdDS8/iuOYcmhq3ApZIu535r3iIo3Pu+gjZDqbLNblkTtIpli3IRWHrmGXn9HXKUuMhsZu/E05uy6EGHIR2TmZF8SIAESIAESiA4COuoQo9wMC2CZUIpFSLEJCQuQcsKSe1dy5rKFTUBHw+v191GsPHId9RwyY0aL8GNiHYa6w//lG/z0dTE0KhFY2CQm26IDVzDwn+PImDIJDg6KnsubP205hynbzsMha2qs7V4hJrfPuUmABEiABEggUgR01CFGARkWwH/99Ze6kCaX4b788ku4ubmpeNw//vgDUiiDLTQBHQ2v+2JvrPW5gS+KZ8HP35QI1yycRm/FHf+XGN2oCFqUyRnjJiSxyRKjnCOtDXb3M1+kIzIbmbXTD+M3nUF+2xTY3LNyZIayLwmQAAmQAAnEKAEddYhRoIYEsFx+k1y/P/zwg8rCkCRJEpw4cULFAPv5+WHy5Mno0KGD0TW16aej4XVe6AX3k7fRtFQ2TGgcflqwKm47cOn+cwyuVxAdKtrFuF3M2OELN/ez0SpWTZXvolNUxzgILkACJEACJKAFAR11iNGDNSSAxcM7f/58VQUueHv9+rVKNyaZFeQ1W0gCOhpeZApD1JnigdM3n6C3S350r54vxs3HlKO4aLbUWPNd9IQrxERYRYyD4AIkQAIkQAJaENBRhxg9WEMC2N/fHylTpjQ7p+ThdXZ2NrqmNv10NLxWvx6Ax/l7aFMuF4Z9Xjjcs/5y5l4cufII/6uSBz/WLhDjdjFmw2n8svsCnHKnxd+do8deTRfrUidLBJ+hNWP8GbgACZAACZAACRgloKMOMcrGkAA2Ohn70QPcdM5+HLz4AJ0r2WFA3YLhmkTLeQewx9eYWI4O23JdfQIL9l9WKdck9Vp0tPXHbqLboiNIkjA+zkZTarXo2BfnIAESIAESIAEKYPM2YFYA9+jRQxWDkLLD8jq8JqnRpkyZQkv7iICOhtdo5l54X3mE76rmRZ9a9uHaRMcFXthy6ja+LpUd4xsXjXH76bfcB397XUPNQrb4JZwUbZHZyLbTt9H+j8DiGhfH1lVpAtlIgARIgARIIC4Q0FGHGOVuVgDnzp0bq1atQrFixVSWh/D+wy6fXbhwweia2vTT0fDqT/PAietP0LNGfnxfI/y43u+XeGP10RtoUCwLpjULP2NEdBhNj8XeWONzA58Xy4Kp0bTeXt97aPFveeUzI2sjaSLLyytHx7NyDhIgARIgARLQUYcYPXWGQBglFYV+OhperZ924+xtf/Srbf9/9q4DLKqji56IYu+KvYEiiqAiCjYURMQeu7G3qLH3ig17rzF2jRpjib0BKthRFFAQRBALFgQrKohS/P87y4MFKe9tAdyd+b58n4GZOzPnDbv33bn3HIxoXjVd1JJkhPWwrX99BRCWNmTo7ttw8RfHUCHWsufTd+jylzvrfne2HQrnyyV2KO/HEeAIcAQ4AhwBtSKgjX6IWEC5AywWKQX6aePBs15xEY/fRIqiNpt30g87rz1BI4Pi2Pe7pQIISxvSb4cHLge+Rr+GleDYsZa0wWn0vvciAu3WX2W/vTmjBUoVyqMSu9wIR4AjwBHgCHAExCBA37lLzwagb8NKaFy1RLIh2uiHiMGM+oh2gInmjEQvSP0tNDQUZcqUYapw/fr1g66urtj5tKqfNh68xktc8eLDFzh2NEa/hukLpCx3DsCfbsGoW7EIjo5orPazIRToDbXSx4wMCvTELuZh+CfYrrrMul+a3ByViucXO5T34whwBDgCHAGOgNIIkBgTiTI1rloc/wxJHkzSRj9ELKCiHODAwEDY29sjJCQEtWrVgp6eHsLDw5kYRoUKFeDk5ITq1dMveBK7IE3qp40HT1B3W9zZBL81qJju4xSEKYxKF4TTOCu1P/oOG67C53kExthUxQQ71ZzXZ++i0HSZG1u7y3grGJZKmy5Q7RvkE3AEOAIcAY6A1iHgcMwXe2+EIDWOe230Q8QeAFEOsLW1NYv6njp1ClWrJuV1BgUFoUOHDiwa7OrqKnZOremnjQevrqML3kfFYGW32uhSr3y6zzqzVdTsVl9CYNhnTG5VHSOt089PFntIwz9Fo8HCC6z7iVGNYVq+iNihvB9HgCPAEeAIcASURmDiwbs47PUc1fQK4NyEZsnsaaMfIhZQUQ5wvnz5sGfPHnTp0uUHu4cOHUL//v0RFRUldk6t6aeNB894thMiv8UxlgViW0iv7fcIwbQjvihRIDduO9iq/VxYLXNDyLsozGpXE4ObVFHJfB+jY2A614XZInENEtngjSPAEeAIcAQ4ApmFwMh/vHDaNxTli+bF1ak23AEWCbwoB5iivsuWLUPnzp1/MHv48GFMnjyZ06ClArg2OsCGM8/iW1w8NvUxg32tMukew+N3XmDs/jvIr6sDP0d7kUdW8W5CesaiTiboZZF+eobYWb7FxsPQ4SzrvmdwAzStVlLsUN6PI8AR4AhwBDgCSiMwaNctuAaEo0QBXdx2aMkdYJGIinKAKfq7ZMkSnDx5Evr6+ommg4ODWQrElClTWBSYt+QIaJsD/P37d1SZfoaBsL2/OVrUKJXukXDxe4WhezyR4xcgeJH6RSRM5zrjY3QsVnWvjc5m6adniD3LtGf9GWfw/TuwtZ85WtZMf89i7fJ+HAGOAEeAI8AREINAr603cD34barBJG3zQ8TgJfQR5QC3b98eXl5erPAtZRFcqVKlYGZmljgniWIcP35cyho0tq+2HTyp0dCrQW/QZ/tN9vwzQ0SCIrW0xo29zdDGJP3otJRDWWOWE77ExDExDxL14I0jwBHgCHAEOAKZhYCgwJpaMEnb/BApmItygKkITkpzc5NVxWt707aDF/k1FsZznNlj3z/UEpb6xdM9Ap5P36PLX9dZH+9ZLVE0v/ro9OLjZZFaajsGmMPGSHWRWqHwb0W32uiaQeGftv9N8P1zBDgCHAGOgGoRsF9zGQGvPjGjDxbYI3fOJEVSbfNDpCArygGWYpD3TUJA2w7eh6hvqON4jgFw+I9GqFepaLrHwf/lR7RZd4X1uTbNBuWK5FXb8fnyLQ41Zjsx+/uGWKBRCrJwZSa2XHQBrz5GY8GvtdDHspIypvhYjgBHgCPAEeAISEKg+XI3PHkrIyJIqUiqbX6IFOC4AywFLYl9te3gyVOCnRrdBLXKFU4XsSdvItF8xUXW5/yEZqiqV0AiwuK7v4/8hrrzxTvn4i0DwoePQ9saGNI0KUdeig3elyPAEeAIcAQ4AoogYLHoPMI+fmVDb0xvgdKFkxRJtc0PkYIfd4CloCWxr7YdvOfvo9BkqSz9xXmcFaqXTl8UIvxjNBosknHonhzVBCbl03eYJcKfrHtoxBc0XCzjqj49pgmMy6puLuH6SZX8wsrslY/lCHAEOAIcAe1BQCjwph1fnNQclUskKZJqmx8i5alzB1gKWhL7atvBIz1y64SIruvEZtAvmX5E91N0DEwSSEJPTAAAIABJREFUOHQPDLWERQY5wxLhT9Zdfm0XJjaDQQZrkzJXxw1XcVfFCnNS5ud9OQIcAY4AR0B7ERDoRwmBs2ObokaZQolgaJsfIuUUcAdYCloS+2rbwQsM+wS71ZcZSlemWKNCsXzpIhYbF4+qM2UcujsH1od1dT2JCIvvrs584+6b3eHx+B2GWuljRpsa4hfFe3IEOAIcAY4AR0AJBOLiv8MgocCbzBwZ0QhmFZPqb7TND5ECJXeApaAlsa+2Hbx7LyLQbv1VhpLHjBbQK5SUh5QWdMKb61+9zdBahdRkKefzCnmPzhtljBOeDrYoXiC3xKeZdvd+OzxwOfA1+jWsBMeOtVRmlxviCHAEOAIcAY5AegjIsy9Rv5RF3trmh0g5LdwBloKWxL7advDknUyxtGa157kg4ksMVnarjS5qpBC7HvwGvbbKOIf9HVshn25OiU8z7e5Dd9+Gi38YephXwNKupiqzyw1xBDgCHAGOAEcgPQTefP4K8wXnE7ukFKHSNj9EymlJ0wEeNGiQFDvYsWOHpP7a0FnbDt7NR2/RY8sN9mjvzWuFArkzdjIbLr6A0IhozP+1FvqqkULMLSAcA3fdYmt7tKgNchBjuIra6H+9cfLuS3SsUxZre9ZVkVVuhiPAEeAIcAQ4Aukj8OxdFJouS9Je2NCrLtqZJgkyaZsfIuW8pOkAm5iYJLPz6tUrvH37FoUKFYKenh5Thfv48SOKFy+OMmXKwMfHR8q8WtFX2w6evLJb4ILW0M2ZI8PnbLPyIh69jsSMNkYYamWQYX9FO5z1DcUf/3hBVycHAhe2VtRMquMmH7qLQ57P0cq4FDb3NVepbW6MI8AR4AhwBDgCaSEQFPYJLRNqb6jP8q6m6GZeIbG7tvkhUk6KqBQIJycn/PHHH9iyZQtatmyZaN/FxQXDhg3Dxo0b0bq1ap0KKZvIrn217eC5BoRh0K7b7HE8XtwGJIudUWu3/gruvfiIcbbVMM7WMKPuCv/+qPdzjD9wFwXz5ITv3FYK20lt4Kxj97DnxlM0r14SuwY2UKltbowjwBHgCHAEOAJpIeDz/AM6bLiW+Ov5HY3Rt2Fl7gCLODKiHGBTU1NMnjwZffv2/cHk33//jeXLl+PevXsiptOuLtrmADvde4Xhez2RS+cXBC1sI+phd9t0HbeevMewZvqY3lp9DAr/eoRg+hFflCyYG7dm2opam9hOC075Y9vVx7DUL4b9QxuKHcb7cQQ4AhwBjgBHQCkEiIGImIiElvI2Vdv8EClginKA8+bNi//++w9t27b9wfbJkyfRvXt3fPnyRcq8WtFX2w4e5cFSPmw+XR34O9qLesaZxaCw89pjzDvpjwrF8uLKFBtRaxPbaYXzA2xwe4g6FYrg2MjGYofxfhwBjgBHgCPAEVAKgUuBr9F/h0eijfG2hhhrWy3x/7XND5ECpigHuF69esiXLx/OnDmDggWT1L0+ffoEe3t7REdHw9PTU8q8WtFX2w7eYc/nmHjoLorky4U7s+1EPePhezzh5PcKXeuVx4putUWNUaTTXxeDsdQpANX0CuDchGaKmEhzzAbXIKxwCWTk40RCzhtHgCPAEeAIcAQyAwHh5lWYa3gzA0xrbcQdYBHgi3KAr1+/zhzdHDlywNraOrEIzs3NDXFxcaAc4caNeeQrJd7a5gDv9wjBNIlpBhMO3MER7xdoa1IGf/Y2E3FkFeuy+lwg1l4Igkm5wjg5uoliRtIYtfXyIyw8cx/6JfLDdVJzldrmxjgCHAGOAEeAI5AWAse8X2DcgTuJvx7QqDLmdjDmDrCIIyPKASY7YWFhWL16NTw8PBAaGsqYHxo0aIBx48ahdOnSIqbSvi7a5gDvcX+CWcf9UK5IXlybJi7NYMZRX+y7GQIbIz3sGFBfbYdk8Zn72Hz5EepXLopDwxupdB5h32UL58H16S1Uapsb4whwBDgCHAGOQFoICPUtwu9T8tFrmx8i5aSIdoClGOV9ZQho28HbfvUx5p/yR5US+eEmMhKaWQVkc47fw9/uT9G0WgnsGWyh0iN68PYzTPnPB8Xy68JrVhJLikon4cY4AhwBjgBHgCOQAoEdVx/D8ZR/4k9T8tFrmx8i5YBwB1gKWhL7atvBE/JsDUsVgMt4cXm2q1weYJ3rQ9QuXxjHR6k2NUH+cU39zwcHbj9Dy5qlsLWfarl6j995gbH77yC/rg78RBb/STxKvDtHgCPAEeAIcAR+QGDjxYdY5vQg8ed2NUthi9x3nLb5IVKOSJoOMFGf7du3D7Vq1QKJYqTH6Uq/u3v3rpR5taKvth28dReCsOpcIIzLFsLpMeKKwdRZnCZ/yMbu98bxOy/RvnZZrP9NtWptzn6vMGyPJ3Ry/ILgReLo37TiD4BvkiPAEeAIcATUioAQRBImSXnLqW1+iBSw03SABw4ciNmzZ6NKlSoYMGBAhqIGO3fulDKvpL7bt2/HunXr8ODBA6ZEZ2lpiRMnTiTaIHaKmTNn4v79+yhfvjwmTJiAESNG/DDHihUrsGHDBpCqHTn1xF/cvHnyoiVitpg0aRKjffv69StsbGywfv16VKpUSdKaqbO2HbyVLg+w3lUaHdjf159gzgk/lC+aF1enissblvwgAAzbcxvOfmHoVq88lquYbUKehiZoYWvk0slYAU+RPfAxHAGOAEeAI8ARkEdg4Wl/bL3yOPFHKetctM0PkXI6sn0KxNy5c1nxHTm4FhYWePfuHWOd2Lx5M9unu7s7rKys0K9fP/Tp0wfXrl3DnDlz2O+HDBmSiAU5vzNmzMCiRYtgZmaGrVu34tixY6yoT172uV27dvDy8sLKlSuZs00vAST5TFLPxIcspWnbwVt89j42X3qEBlWK4eAwcYIQB289w5TDPiieXxeeasyfJZ5EclT7WlbC/F9rSXmMGfa9+egtemy5wfrdnW2HwvlyZTiGd+AIcAQ4AhwBjoCyCDgc88XeGyGJZmqVK4RTo5NuYLXND5GCZ7Z2gCmiS84pRXjt7FLnlSUJZnKKb968mbjvoUOH4tSpUywCS9RtFMktVaoU6OfLli1j/Yi+jWxTqsf+/fvZz8gGRZdPnz6NNm1kV9khISEwMDBgUeDhw4dLwVbrIsDzTvph57UnaFK1BPYOEVdoJohn5M2lg/vzZeIZt568A/1/rXKFJeGdXucem91x8/E7/N60Cma2rakyu2To2bsoNF3mxmyeHNUEJuVVt26VLpQb4whwBDgCHAGNQmDiwbs47PU8cU8GJfPjwsSkm23uAKf9uNN0gFetWiX6kFAO8Pjx40X3F9tx6tSpOHr0KAIDA1MdQo4tRWmXLFmSbP5Lly6x1Ibbt2+DRDyIr5hSGSiyW7duUv7nvHnzWKQ3IiKCpXhQ5JhSLcihls95Ju7jAgUKgFTvpDRtO3jCm6h19ZLYObCBKKgu3A/D4L9vs76PFrXBiw9f0Gy5G3OAbznYIp9uTlF2MurU8c9ruPvsA0bbVMVEu+oZdZf0+/j476gx2wlfY+OxtmcddKxTTtJ43pkjwBHgCHAEOAKKIDDyHy+c9g1NHJqShlTb/BApGKbpAFPkVGwjZ5EiqqpuzZo1Q4kSJVCnTh0Wgf3w4QMaNmyItWvXsp/5+/vD2NgYZ8+eZUIdQnv9+jUT69izZw9Li9i4cSNGjhyJqKioZGkMhw4dYjLOz549Y7nD9G+K+N64IbvOFhqNdXZ2xsOHDyVtUdsOnsC00Mq4FDb3Fce0cD34DXptlUXv/R1b4drDt/h9t8whdp3YDPolC0jCPK3O9msuI+DVJ0xuVR0jrauqxKa8EcH+mBbVMKGlocrtc4McAY4AR4AjwBFIicDgXbdwISAcujo58C0u/gc6Tm3zQ6SckGydAlG9enW8fPkS5cqVY7m7urq6oKjtkydPEBQUBD8/PzRp0oTlAVPqgtBiY2ORK1cu5iiPGTMGCxcuxPz585lks3w7f/48WrZsyRgsKBWC/q2jo8NyjOWbg4MDc6IpMpxeo1xh+k9oJBhCYiGCgy3lwfyMfccfuIOj3i/QzrQMNvQSp+p259kH/PrnNbZdTwdbnPIJZUVx1A7/0RD1KhVTCRTNl7vhydsoOLStgSFN9VViU97IiH88ccb3laS9q3wR3CBHgCPAEeAIaBUCvbbewPXgtyhVKDfCPn5lt6dCOiEBwR3gtI9DtnaAq1WrxqKu9+7dY5FeauRUEjOFo6Mjk18mB5gitlQgl9IBpnSG0aNHMwd4wYIF+PLlSzIkzp07x3KLqcCN8oHJAc6ZMyeLKMs3KsDbtGkT3r59m+4fFhXskYOesmmLAzxynxdO+4Sic91yWNWjjqgPoQevPqHVmsus75Up1th78ykrpKO2rZ85bGuWEmUno04Wi86zD4cFv9ZCH0vpjB4Z2V/h/AAb3B6iZplCODNWHAVcRjb57zkCHAGOAEeAI5AeAp02XoN3yAcYlS7IbjmpPV7cJjGNkzvAKnSAKY0gZSSVzBcrpppInfxSyal9+vQpoy2Tb5T+ULt2bVCOsJQUCHKA8+TJk2hK1SkQ2h4BHrr7Nlz8w5BSijG9P175AjKX8VaMRo0K46gt62qK7uYVVPLpV3ueCyK+xGBFt9roWq+8SmzKGzni9RwTDt5lb99+81ohR45fVD4HN8gR4AhwBDgCHAF5BIT0u0YGxVkkmFrAfHvkyaXD/s0dYCUd4O/fv7MoKkVBKQKbWlNHDjDxD1M6QkoHmJxfojKj9fAiuOzzYTBwpwfcHkijGnvz+SvMF5xnmzg2sjGTUvZ8+p79/4w2RhhqZaCSDVZ3OMuK1P7sZYa2pmVUYlPeiHwqx/VpNihbRBplnsoXxA1yBDgCHAGOgMYjIKT30fca3cBS857VEkXz63IHOIOnLyoFghghKId2ypQpjI+XcmIpV5bow759+8Z+NmjQIJUfNBKj6NatG3x9fZkiHbUXL15AX18fS5cuxbhx40A0aFQcR3nAQiO6MhLKSEmDRj8nxghq5LBT3i+lPqSkQZMvqqP0BZqP06Bl/Hh7b7vBitgGNa6C2e3FUY1FfYtFzdnOzPi/v1tiwsE7CI2Q5WoPb2aAaa2NMp44gx70Aldl+hnWa3t/c7SooZq0CvlpP0bHwHSuC/vR3sEWaFKthNLr5gY4AhwBjgBHgCOQHgJCel8fy4qJfMDu021QprAsCMMjwGmjJ8oBpjSDYcOGMSYFKi4jejGKwMbHx6NDhw7MkaQiNVU3clKpiIzU2SiHl4rgKPc3PDycqcLlz58/UQiDosW9e/dmQhgkXpGWEMbixYvZ2rdt24YjR46kKoTh7e2dTAiDaNK4EEbGT7f7Jnd4PHmHYc30Mb11jYwHACAKMf0ZMud0S996GL7XE/HfZUN71q+AJV1MRdlJr1N0TByMZskKG/8ZYoHGVdXjnFIkmyLajh2N0a9hZaXXzQ1wBDgCHAGOAEcgPQSE9L4xNlWxzlXGVCXPoMQdYCUdYHI0KSpKimu5c+dm/yZeXWr078GDBzO2BnU0cnaJY5jEKWJiYkDUaKQMRwwRQiOhDFJ5k5dCJmddvlEUUJBCDgsLY5FfEsUgjl/5Rnm8ghQyRbe5FLL4p0psDpQKIJVr12jWWUTHxGN6ayMsPhuQOKFdzVLY0k8cnVp6q/wQ9Q11HM+xLqpklkg5Z/fN7vB4/A4DGlXG3A6yok3eOAIcAY4AR4AjoC4EDB3O4ltsPOa0r4l5J/3ZNKfHNIFxWZkgE3eA00ZeVAS4YsWKLN+W1NGImYGiweQkUtu9ezejGqM0BN6SI6BtB6/N2ivwD/2IiS0NMbpFNdHHwWz+ObyL/IZu9crjkGeSok2DysVwcLg4SeX0JnsVEQ3LxRdYl1Ojm6hUYU5+3ulHfPCvxzM0rVYCewaLU8ITDRLvyBHgCHAEOAIcATkE4uK/wyDhBpVEmMbuv8N+Kx/o0TY/RMoBEeUA//bbbzAyMmJKafQfqadRPi2lQ2zdupVFZQ8fPixlXq3oq20Hr+WqSwgK/8zydil/V2xrvMSVKcCZVSwCr5CkF6mqegVwfkIzsWbS7PfkTSSar7jIfk/2yK462tbLj7DwzH2kVOJRx1zcJkeAI8AR4AhoNwKRX2NhPEdWQ7N7UAP02+HB/i1fh6JtfoiUEyHKAaZ8Wyo+o3QAkh+mYjgqUCNaMeLOpQIxUl7jLTkC2nbwhGrUWe1qYnCTKqKPg+A4F8qTEx+jYxPHlSigi9sOLUXbSatjwKuPsF9zhf366lRrlC+aT2mbqRkQZJ1/+QW475hEQ6OWybhRjgBHgCPAEdBqBFKyKHXeeI3V0GztZ46WCRz62uaHSDkQohxgKQZ53yQEtO3gCZHc+b/WQl8JYhMdNlyFz/OIRODIgfz+HdDJ8QseLmydSOit6NmSpyi77WCLEgVyK2oq3XGP30TCOiHS7DSuKYxKF1LLPNwoR4AjwBHgCHAE5Hn0ncdZgRzgyG9xWPdbXXSoXZYBpG1+iJRTIcoBnjZtGnr16sXYHngTj4C2HTyBBWFpFxP0qF9RNFA9Nrvj5uMkmWn9kvnx6HUkG393jh0K580l2lZqHd2D3+K3rTfYr+7Na4UCuXMqZS+twbFx8agx2wkxcd+xsbcZ2pionm9YLQvnRjkCHAGOAEfgp0PgYfgn2K6SKalenmwNUoV7G/kNy7qYont9mYiUtvkhUh6iKAe4VKlSePPmDWNeIKqxnj17wsBAfI6nlAVpUl9tO3gCHcuq7rXR2Uy82pogoCE8e3pzPZGgBndxUnNULpFfqWPh9iAcA3feYjYoopxTJ4dS9tIb3GLlRQS/jsQkO0OMshFfCKi2BXHDHAGOAEeAI6CRCPg+j0D7DVfZ3jxmtkCnP6+zepp5HYzR//9sRNwBTv+xi3KAie/3woUL+Pfff3Hs2DEQL269evWYM9y9e3eUKcMjXanBrG0OcM3ZToj6Fof1v9VF+4TrFzGfOiP/8cJp3ySFQXk6tKMjGqFuxaJizKTZx+leKIbv9UJOSqlY1EYpWxkN/n33bZzzD0PnuuWwqkedjLrz33MEOAIcAY4AR0AhBIh2k+g3qfnOtUOnjdfxMEUhurb5IVKAFOUAyxskLl7i3SX1tFOnTrFCOGKBIAeZt+QIaNvBqzbzDLv+39y3HloZlxZ9HCYduov/5OjP9gxugL7bZdWsOwfUh7WRcgWWx7xfYNyBOyiYOyd857USvS5FOi4+ex+bLz1C7QpFcHxkY0VM8DEcAY4AR4AjwBHIEIFLga/RP4H5IWhha3TeeB2+LyIwtkU1jG9pyMZrmx+SIWhyHSQ7wMJYigqT3PCoUaMQGhrKpIV5014HWF7RTarTOuvYPey58TQRvEuTm6P9+quMEWJlt9roUk98OkVqZ3C/RwimHfFlxW9UBKfOdvDWM0w57IOCeXLCZ46d0gV86lwrt80R4AhwBDgCPy8CTvdeMfXUXDq/IGhhGySqsVrpY3obmRord4DTfr6SHWCSGqZUCKJBe/36NerUqQPiCRaEMX7eo6T6lWvTwfsaG4fqDjK5YXkOQjGoLj5zH5svP0rs+mCBPVqtvownb6Pg0LYGhjTVF2MmzT67rj3G3JP+KF80L65OlSkYqqvdevIO3TbJrqQ8HWxRXE2ME+paP7fLEeAIcAQ4Aj8HAilvN4kH+HLga/RrWAmOHWtxBziDxyjKAfb29mZO74EDB9jbRNWqVZnTS//JSxL/HEcm81apTQ7w56+xqJVAyH1wWEM0qFJMNNBrzgdizfkg1r9kwdy4NdMWgqzySGsDTG5lJNpWah03XQrGkrMBTABDFcIa6S0mNOILGi52ZV1OjmoCk/IyOUreOAIcAY4AR4AjoEoEhNtN4Xtz2J7bcPYLQ3fz8ljWtTZ3gFXhAOfIkQPlypVDjx49mNNLBXC8ZYyANjnAJGVMksbUpBaubbkcjEVnAtjY2uUL4/ioJhCYIXpZVMSiTiYZg51OD8HBrlWuEE6NbqqUrYwGkzRldYeziI3/jk19zGBfixeIZoQZ/z1HgCPAEeAISEdg57XHmHfSHxWL5cPlKdYYt98bx+68ZEXoVIxOTZv8EKkIiooAX7p0CVZWVjyfUSK62nTwwj5Gw2KRrBDy1OgmqFVOfOST8n8pD5ha61ql8Vefephw8A6OeL1I/H+J0CfrTtFfigKbVyqK//5opIwpUWObLHXF8/dfIFURT5Rx3okjwBHgCHAEOAIANl58iGVOD1C9VEE4j7fC9CM++NfjGWxrlMK2/ubcAc7glIhygPlJUwwBbXKA5RVpXMZbwbBUQdGgEQMEMUFQIwllchznn/LH9quPYalfDPuHNhRtK7WOc0/4Ydf1J2hStQT2DrFQypaYwYKwx6DGVTC7fU0xQ3gfjgBHgCPAEeAISEJglcsDrHN9mMg6NO+kH3ZeS/5dp01+iCTwAHAHWCpiEvpr08F79PozbFZeYuhIFa844xuKEf94sbFC1PRPt4dY7pz0ZisB9h+6Jr0V62Fb//rKmBI1dsKBOzji/QL2xqWxqS9PFxIFGu/EEeAIcAQ4ApIQWHjaH1uvPIZFlWI4MKwhljkFYOPFYNSrVBSHE247tckPkQQed4ClwiWtvzYdvIBXH2G/5goD6No0G5Qrklc0WPJKbULe7D83n2Lm0XvQK5gbHjOVoy4T8qLampbBn73MRK9L0Y4rXR5gvetDmJQrjJOjmyhqho/jCHAEOAIcAY5Amgg4HPPF3hshaF69JHYNbID1F4Kw8lwgapYphDNjZfUu2uSHSD0qPAIsFTEJ/bXp4B3xeo4JB+8ytbW7c+yQP3dO0UjdfPQWPbbcYP1PjGoM0/JFcNY3FH/848X4DQMXtFYq/3z4Hk84+b1CF7PyWNldVhmrziZU5hbLrwuvWS3VORW3zRHgCHAEOAJaioAgIiXUzmy78ggLTt+Hfon8cJ3UnDvAGZyLNB3gCRMmYPz48ahQoQIuX74MMzMzFChQQEuPmWLb1iYHePCuW7gQEA4rw5LYPaiBJMAev4mE9YqLzHkmoYoi+XThHvwWv22VOcX35rVCAQkOdcrJB+z0wMUHr9HHsiIW/Koco4SYjTEexgR1nvuO9sirqyNmGO/DEeAIcAQ4AhwB0QiM3OeF0z6h6Fy3HFb1qMMEpaigvEzhPHCf3oI7wIo6wDo6OnB3d0eDBg0g/2/RT4Z31Jqrh4/RMTCffx7f4uKxtIsJetSvKPnpUyFc4by50LJmKTb2watPaLXmMvv3lSnWqFAsn2SbwoCeW9xx49E7DGlSBQ7t1F+UFvz6M1ok5EMT7zDxD/PGEeAIcAQ4AhwBVSIgBJ4EulChoLxIvly4M9uOO8CKOsBly5bF9OnTMXr0aBAP8M2bN1G/vvoLiFR5OLLalrZEgIX0Bx2K4M60RdH8ukpDH/4xGg0SaNWEtAhFjQqiGqOsq2JSq+qKmhE97su3ONSYLVPFo2g4RcV54whwBDgCHAGOgCoR6LX1Bq4Hv01kT6JoMEWFc+fMgQcLWnMHWFEHeMqUKVixYoWo3MtffvkFsbGxqnyuGmFLWxzgIX/fwvn74WharQT2DFYNzdi32HgYOpxl5+DvQQ3QTAkn0n7NZQS8+oRJdoYYZVMtU85Wvfnn8DbyGxZ3NsFvDaRHxDNlkXwSjgBHgCPAEfhpEei08Rq8Qz5AUEx1DQjDoF232X4eLWqDHDl+0ZqbaEUeYrpFcC4uLvD39wflA1MkuGLFtL/IJ06cqMj8Gj1GGxxg+fSHJZ1N0FOFzh5JK5PE8poedfBr3XIKnxXKL6Y8Y4e2NTCkqb7CdqQMbL/+KnxfRCCzos5S1sb7cgQ4AhwBjsDPj0DK4M714DfotfUm25i/Yyvk083JHeB0HrMoFghra2v89ddfMDIy+vlPTCbuQBscYPn0h1szbUHMB6pqgqLanPY1MbBxFYXNNlx8AaER0Zj/ay30tayksB0pAwXmCaE4QcpY3pcjwBHgCHAEOAIZIdB8uRuevI1KDO54h7xHp43X2TBPB1sUL5CbO8DKOsDy479//47Pnz8zRghKfeAtbQS0wQFWR/qDgGiHDVfh8zwCY2yqYoKd4rm7dR1d8D4qBsu7mqKbeYVMObKCkl2DKsVwcJhySnaZsmA+CUeAI8AR4Aj8VAhYLrqAVx+jsbBTLfS2qITU+Pi1wQ9R9KGJigCT8UuXLmHevHm4fv06YmJikCtXLjRu3Bhz585F06YywmXekiOg6QfvU3QM6iWwP6g6/YGQJCoxohSjqC1FbxVtNWY54UtMHNb/Vhfta5dV1IykcSTjTE5w+aJ5cXWqjaSxquwc9S0W4/bfgYFeAUy15zc4qsSW28p6BN5HfmPsMZTryBtHQNsQqD3PBRFfYrCqe210NiuPp28j0Wz5RQaDwECk6X6IMs9clAN87tw5tGnTBoaGhujevTtKly6N0NBQ/PfffwgMDMSZM2dga6ucWpcym8iuYzX94MkruAnXLap8FqpQcKMbiyrTz7Blbe1nnkizpsp1pmbL6d4rDN/rybiNqRqXGDKyoh24FYKph33Z1JyTOCueAJ9TXQjcffYBnf+6jhZGetjSz1xd03C7HIFsiwAVilPB+F+9zdDapAzk2ZNOjW6CWuUK8xSIdJ6eKAfYwsKCOb3Hjh1LlvZAzsWvv/6KsLAw3LghEy3gLQkBTXeAV58LxNoLQclUZ1T5/Oee8MOu60/QuGpx/DPEUiHT0TFxMJoloyTbM7gBmlbLHEoy3+cRaL/hKpvXfboNyhQWLw2t0EbTGCSkqGT1OlS5J26LI0AI7HZ/gtnH/VCigC5uO3DFRX4qtAuBuPjvMJghC+7sHFAf1kZ6oKJ007ku7GeHhjdE/crFuAOsrAOcL18+HDlyBPb29j+YcnJyQufOnREVFaVdp0/EbjXdARYU1jrVLYfVPeqIQERal3UXgrDqXCBqlCmEswm65tIsABFRMagdGPQsAAAgAElEQVTtKPtA+G94Q5hXLibVhEL930V+g9n8c5k+r/xiKf2hruM5fI2NZz8mDAlL3jgCWYlAfPx3uAaEo3rpgkoJ3AiyrwXz5ITv3FZZuSWtmZtYeXZefcycLYou8pZ1CER+jYXxHGe2gH9/t0RDg+KIiYtHtZky+lCBg17T/RBlnoCoCLCenh4WL16MwYMH/zDXtm3bMGPGDISHhyuzDo0cq8kHj6L/5OBRcdm8Dsbo36iyyp/hHvcnmHXcL5mso9RJwj5GwyJBUEO4EpJqQ5H+hA+JYUTHxGNtzzroWEdxGjdF5qcxQhqGMH7/UEtY6hdX1BwfxxFQCQICV2nNMoVwRsEXW1rIxosPsczpQTLSf5UskBtJEwHhM7luxSI4OqIxRyoLEXjz+SvMF5xnKzg2sjHqVCjC/l11xhnExn/H5r710Mq4NI8Ap/OMRDnAQ4YMwfHjx7F37160apX0pk08wX379kWHDh2wdevWLDwK2XNqTXaA5ZPt5f/4VPkkTvm8xKh93kp9wSUvCrBCVb2CqlxiurZarLyI4NeRmGJfHUOa6GPTpWBWFEfFCpnRJh68i8NezxOn2tSnHuxrlc6MqfkcHIE0EfjrYjCWOgUgv64O/Bx/vFUUC92a84FYcz4IREZEpP+clUgscor3W+nyAOtdH6Jckby4Ni3rinsV34HmjHz+PgpNlrqxDTmPs2I3KtQE/nwh8KLJfoiyT1OUA/z+/XuW/nDr1i0UKlQIpUqVYnm/nz59YvLIlAZRpIjs7YO3JAQ0+eAdv/MCY/ffga5ODvjOs0PunDoqf/TXHr5B720yUm9FC7gevPqEVmsuMxtXplgrdeUqdYMCi0Vvi4oMnx3XHrOiuLtz7JA/d06p5iT1j42Lh/nC8/gQFZM4bmkXE/Soz1XpJAHJO6scgXkn/bDz2hNmV1CrUmSSZU4B2HgxmA0NWtgauXRyKGKGj5GAgONJf/Y5Rswb9DnGW9Yh8DD8E2xXyb7bLk+2RsXi+di/KSpM0WGBmUmT/RBl0RflANMk8fHxOHXqFK5evQpyiIsVK4YmTZqgbdu2yJGDf/Ck9iA0+eAJX2K1KxTB8ZHquQq79yIC7dbLCsluzmiBUoXySD7vVCne8c9rbBwJdZQsmFuyDUUHTD/ig389nqFEgdzsA0lomeGI33j0Fj23yApT8+nqIOpbHGa0McJQKwNFt8PHcQRUgsCofV445RPKbPnOtUPBPLkUsrvwtD+2XnnMxvrNa6X2l0qFFqlhg6Yd9sH+W88Yq83Dha151D0Ln698obXHjBbQS/h+bLrMFc/efYEgIKXJfoiy8It2gJWdSBvHa/LB67zxGrxCPmDA/3N/53YwVsvjfRj+GbarLjHbFyc1R+US+SXPc/PRW/RIcASV+bKVPDGADa5BWOES+MPQE6Maw7S8em9MhEiNfsn8KJI3F3tWI5obYArnAlbkUfIxKkSgx2Z33Hz8jlm8Mb0FSheW/mJLY+ccv4e/3Z8yO96zWqKoClUoVbhdjTI1+l9vnLz7ku0pYL498uRS/c2fRgGmxs14PH6H7pvd2Qw+c+1QKOFF0m71JQSGfWapdyOaV+U5wOk8A+4Aq/GAaqoDTLyDteY6M/7B1T1qo1Nd9eS0vvjwBY2XuLInpCiDwaXA1+i/w4PZyOxrUkEmmuYulCcnPkbHsnX8PagBmhmqj46NCvCslruxKMCwZvoICvvMqu4pFWNhJxM1nnhumiOQMQI2Ky7i0ZtI1vH8BMXz8oUbFrKj6A1RxqvlPeQRGLzrFi4EyAreM/tGjT+J5Aik9d3WccNV3JVTUNVUP0QV54E7wKpAMQ0bmnrw5K9e3CY1RxUFIrNiYJenEjsyohHMKhYVMyxZH2e/Vxi2x5Nd2QUvaiN5vDIDfJ5/QIcNsvSL7f3NQdETSkVQNytEYNgn2K2W5YYd/qMR9t54iqPeL9DWtAz+7GWmzJb4WI6A0giYzHHGp6+yl0FlCmjlizwzI61I6Y1rgIGeW9xx45Eseq/Oz34NgErtW5AXW3oo990m3LD83rQKZratySPA6TwJ7gCr8ZhqqgMsUOFQVJMKIdRVff3lWxyjEqO2b4gFGlUtIflpCcV6ylacS544YcC/HiEonl8XdsalWTSbotpz29fEgMZVFDWZ4bj/PJ9j0qG7LPf33txWcDzlzwRFmlQtgb1DLDIczztwBNSFgPzfNM2xd7AFmlST/ndNY+Wv4wXZV3Wtm9uVISBEF+nfmUkryfH/EQHhu61g7pzwnZfEziXw8/e1rIT5v9biDjB3gLPmz0dTHWAh8tK0WgnsGaw+h4oI8/UTlG4ogtqiRinJD1KQAiYn1HNW1qpFtVt/BfdefMTYFtUwvqWh5L2IHbD47H1svvQItcsXxvFRTSAo9pmUK4yTo5uINcP7cQRUjkDI2yiWniM0Zaj5hu25DWe/MGZK0RQplW9Qww1STQbVZlATxBc0fMvZdnv7PUIw7YgvK+ymdBSh/bHXE2fvvULXeuWxoltt7gAr4wBHR0dj8uTJjO+3QYMGWXoYPn/+DCMjI7x48YJRspmbJ+m/nzlzBjNnzsT9+/dRvnx5TJgwASNGjPhhvStWrMCGDRvw6tUrmJiYYPny5WjevHmyfkTvNmnSJPz333/4+vUrbGxssH79elSqVEnS/jXVARb4bcfYVMUEu+qSMJHa2WjWWSYmsaFXXbQzLSt1OP6+/gRzTvhlC97Kvttv4krQG/RvWAnzOtaSvBexA4Q8PeEDcOe1x5h30h8ViuXFlSmcu1Msjryf6hHwfPoOXf6SFe5QW9mtNrrUU6yGYOBOD7g9eM3sEBMNMdLwpl4EGi2+gJcR0WySrf3M0bKm9KCEeleoPdbT+lyfcOAOjsilvGmqH6KKJy0qBaJAgQI4ffo0mjVrpoo5FbYxdepU/P3334yDWN4Bdnd3h5WVFfr164c+ffrg2rVrmDNnDjZv3gwS8RAaOb+kWrdo0SKYmZkx8Y5jx47Bw8ODOcNCa9euHby8vLBy5UrGezx79mx8/PgRPj4+yJs3r+j1a+LBk9caVzQqKxrA/3+x1XV0YWpzy7uaopt5BSlDWd/Nl4Kx+GwADErmx4WJyV90JBtTcoBwZduhdlms+62uktbSHi7Q4ExvbYRhzQwgFONRyooPl4xVG+7ccMYION0LxfC9XokdlVGR7LPtJq4+fMNsHRreEPUzSeY8411qbo/a81wQ8UXGLb6mRx38WjfzFS41F11pOxOUEA1LFYDL+CTfbMZRX+y7GYIWRnrYPqA+jwCnA6soB9jOzg62traYMmWKtCekwt4BAQEs4ktO6fDhw5M5wK1bt8a7d+9w86ZMNIHa0KFDGW8xOaHEU0yRXBLwoJ8vW7aM9YmLi2OOr6mpKfbv389+RjYsLS2Zw9+mjaxoKiQkBAYGBiwKTHOLbZroAHs+fY8uf11nEMhzD4rFRGo/IeIwv6Mx+jaULre89nwQVp8PhHHZQjg9pqnU6VXaf/bxe9jt/hTqTB2J+ibTh//+Hdg5oD6sjfQgSM/SZqgQkAoCeeMIZAUCu92fYPZxv8SpJ7eqjpHWVRVaSvdN7vB4IivI+meIBRorUCOg0MRaPKjazDOIifvOEKD8Usoz5S1rEFjl8gDrXB8mproJq5h/yh/brz6GpX4x7B/akDvA6TweUQ7wjRs3WGSVUgrI2dTT0/uh8ImEMdTZyAknR5Wis9bW1okOMDm2FKVdsmQJxo8fn7iES5cusdSG27dvo169enBzc2OpDBTZrVs3Kfo2b9485lRHRESwPVHkeN26dcyhli/uojkpEn7y5EnR29REB5g4ICmSqZszBx7Mt1dbAZwAss3Ki3j0OlJhEQeSXCXp1XqVijJGhKxsq84FYt2FINQqVwinRqvHGZdn6BAq4+VfWjhfalaeAD63IKUrIPFHcwNMVZCbmgRuSOiGmvCyxxFWHwJEe2nocDZxgmmtjTC8GRfWUR/i6VtO6egKvddfCMLKc4EwKl0QTuOsuAOsrAMsr/SWVsU/RVPV1SgXd+TIkQgKCmIOrLwD7O/vD2NjY5w9e5bJNQvt9evXzFHfs2cPc943btzIbERFRSVLYzh06BC6d++OZ8+esdxh+jdFfMnpl2801tnZGQ8fPhS9TU10gIWUAqI+Ixocdbe2667A7+VHjLc1xFjbapKnExTrGlctjn+GWEoer8oBQs5WuSJ5cW2aenJxhXSHvLl0mDpWDlJsUoGgiCpx4La0FwFBSUxAoF/DSnBUMB++zdor8A/9yEwpU0ynvU9D2s4jomJQ29ElcdAo66qY1Eq9NSDSVqhdvcfu98bxOy9/oLck5qHpR3yZAultB1vuACvrAO/atSvDSF///v3VcvrIYaXCt7lz52LQoEG4ePFiMgeY8n1JkpnygCl1QWixsbHIlSsX1q5dizFjxmDhwoWYP38+qKhPvp0/fx4tW7bE3bt3WYSZ/q2jowMnJxn9ltAcHByYE02R4bQa5QnTf0ILDQ1lhYOCc60WgDLZqKC+lFkOZbdN13HryXsWaaCIg9RGHwT0gSDkQ0kdr8r+x7xfYNyBO1AnJZsQ8TYtXxgnRskYH0iGmfThqSnDu6pKLLgtzUeABFlI8Y1elgUZ80G7bjFRFqF1rlsOq3rUUQgMeUYCyqmn3Hre1IfAyw9f0ChBmIhmUacKqPp2oTmWe2+7gWsP3/7wHFz8XmHoHk9QptvDhW3w8uULVKhQQaP8EFU9RVEpEKqaTBE7VLR27tw5lptLkei0HGCK2FpYJFFyCQ4wpTOMHj2aOcALFizAly9fki2DbFN6BRW4UT4wOcA5c+ZkEWX5RgwTmzZtwtu3b9PcBjnplFKRsmmSAzzk79s4fz8M3eqVx/JutRV5pJLGCMwJin7YJlbEmpTBn72zVgTi4oNwDNh5i+0/cEFrlkai6jbk71s4fz8cnc3KYVV3mWMRExePajNl51ndKnSq3g+39/MicCXoNfpu90DNMoVwZqws5af9+qvwfRGRuCm7mqWwpV8Sm4+U3Votc0PIuyg2hOieiPWEN/Uh8DD8E2xXyQR2qAksM+qbkVtODwFB8jhlHr18ypvXrJaIeh/OHeA0gJTkAL9//x737t1jbxKUC1y0aFEWUdXV1WXOqarb06dPYWhoiKNHj6JRI1n+5tWrV9G+fXuW00tFcZSuICUFghzgPHmStOdVmQKhDRHg1muv4H7oR4yzrYZxturjshXO0tDdt+HiH4Ye5hWwtKup5CM24h9PnPF9lcwhlGxERQMoX5HyFqmpq4Cw2XI3PH0bxaLl8vl5xrOdEJkJKnQqgoqb0QAE5AveSDCncN5csFx0Aa8+RrOXP8opVeYmSbBFUC3qZIJeFhU1ALXsuwX5zy9apb1xaWzqWy/7LljDV2Y2/xxILXVpFxP0qJ909p++jUSz5RfZ7l3GWyFfTAR3gJVxgCm/d9asWaw4jFISKA+YaMiISoyYEijySsVjqm5CtDctuzQvFbvxIjhVI5+2PYEGZ1lXU3RXgJZM6kqFPCdFqcOEK1f6cqQvyaxs8iIAzuOsUL10QZUuh1S2as5xYgwQKSnqBBU6x47G6KcAm4ZKF8qNaQUCAk0TbfbAUEtGU0ZFVLHx31G9VEE8CPv0QwW7FGDqzT+Ht5Hf2BB1qytKWZem9r0e/Aa9tiYxLXFlyax70vK3ejsGmMPGKImPOfKrjAmI2r7fLVAxdzR3gJVxgCn/lZzfpUuXsvzbmjVrMnYFcoApLWDbtm3s/1XdPnz4gDt37iQzS/9PbA80b/369dkaKBpNfSkPWGhEV3bixIkfaNDo58QYQY0ce8r7pdSHlDRo8kV1FPHW19fXehq0z19jUSvhDyuzaIeEohkiXCfidantty034P7oLQY1roLZ7WtKHa7S/vIcyvuHWsJSv7hK7d97EYF2668ym5cnW6Ni8XyJ9oXI/cSWhhjdQnoxoUoXyo1pBQIrnB9gg5usaJj4ftuZlkG9hFx0ih46+b1Sip/bZI4zPn2NZfZntDHCUCvOSKDOg3XePwxDdid9z9epUITVFPCW+QiEfYyGxaILbOIToxrDtHySCAzl3teY7cQEpNb/Vhd1i8dzB1gZB5jYEaZNm4ZRo0Yxp5GKywQHmHJoiTmB0iMyo6XMAaY5BSGMAQMGoHfv3kwIg8Qr0hLCWLx4MXOcyXE/cuRIqkIY3t7eyYQwiCZN24UwgsI+oeVqWQ4YMUBQcYu629wTfth1/YnC3LmdNl6Dd8gHjGhugCkK0i2pao/0wUS5uBQB29THDPa1yqjKNLMjFNnlyZUD/vPsGQOE0IQXgcFNqmBWu6x9EVDpprmxbIuAwMBCC+xZvwIGNK4M+zVX2HopPWfTpWCUKpQbN2ckybhK2QxFkymNgtokO0OMsuEvdlLwk9r3+J0XGLs/KSBVVa8Azk/IWnEsqXvQlP7ywQ736TYoUzi5QJdw40c3I7aVcnEHWBkHmNTPSFSiRYsWPzjARA3WpUsXkExxZrTUHGCal6SQqWBOXgqZqMvkGzkgghQyqclR5JdEMSiqLd8ol1eQQv727RuXQk4AR76IK2C+PfLk0lH7IxdYDcwrFcV/CvD4ZrfIp/mCc3jz+RsWdzbBbw1Um7O4zCkAGy8Gp8ozPHyPJ4u48cIVtR9ZPkECAlP/88GB28/Y/5FMMd0+9Nvhwf5/WRdTTDnsgwK5c+LevFaSMaPP8irTzySOywxZdsmL1LAB+z1CMO2Ib+KuShfKgxszWmjYLn+O7bgFhGPgrrQLqjtuuIq7zyNAVHU9jfNzB1gZB7h27doszYBSB1JGgCkyTE5pSt7cn+MYqXeVmsYD/M/Np5h59B5KFNDFbYeW6gUvwToJR5CAhKJKbjYrLuLRm0jMbFMDv1vpZ8qa05tEoG6aYl8dI5orpoCVlv3fd9/GOf8wpEYtJaSS2NYohW39paeSZDlwfAE/HQIj93nhtE8oWzfdShDf75T/fECS3MRQIlynP1rUJtlthZiNyudAUv9hzfQxvXUNMUN5HwURIHUxEl8QWsHcOeGrwMuLgtPzYXIIHLz9jP0tFcmXC3dm2/2AzeBdt3AhIBy/NaiAkQ2KcQdYGQeYeIB///13lgbRtWtXpqR27NgxxgYxefJk0O8pDYK35AhomgO83DkAf7oFK1W4IvWMbL38CAvP3Id+yfxwnShdeENZKWWp682ov8BrPNRKHzPaqPYLu/lyNzx5G4XUnOvFZ+5j8+VHqF+5KA4Nz1pFvIww4r/XDAQG7vSA24PXiZshJheKCBuUzI8Fv5rgt60ysSGKAFMkWEqTL/ShcQMbV8ac9sZSTPC+EhEQFMaEYb/8AgQvlP7yInFa3j0VBP50e4jlzg9QTa8AzqWShjLlv7s4ePs5qHZmjk1p7gAr4wDT2FWrVjExisjISND1E7V8+fLB0dEREyZM4Ic0FQQ0zQEef+AOjnq/QOtapfFXn8yhv9lz4ylmHbuHsoXz4Pp06ddtAlVMZrFWZPSHINC6qZpHOTomDjVnOyH+O1ixIH3wyTehIt+wVAG4jOd5exk9J/575RHovtkdHo+ThIPKFM6D0IhoWOoXg0PbmokFmzdntEgUyhA76/vIb6g7/1xi994WFbEwi1lexK79Z+235GwAy9smxzfBBVDo5UXZ/VMxNqVjNK9eElX1VMuko+zaMmu8kF/fUL84/h36o8KpkDpoVrEI1nWoxB1gZR1gGk95vlRgRmIQxYoVY9y8REHGW+oIaJoDLHyhZWYh1X+ezzHp0F0UzZcL3qlc9WR09sgpjPoWh+yiFCXkRao6FcHvZQTarpMxQFya3ByViicvUNx3MwQzjvpCr2BueMxUrOgoI6z57zkC8ggIMuYpUSFKw/EtDWG9QsZVSoVUVFAlpYV/jEaDhCp4GqfqF0opa9GWvrOP38Nu96csBY7qGKgp8vKiLF5CKkaDKsVwcFhDZc39lONH7fPCKZ9Qpn5I320p27Yrj7Dg9H1ULJYP+3pV4w6wKhzgn/KkZOGiNc0BbrLUFc/ff2EsAuQEZ0ajHELKJaQcwoD5rSVNSTcVBjPOsKjolr71YGdcWtJ4dXRefPY+Nl96BEWL+tJak/CikDeXDovK6MgxQNAYAcfcOXPgwQJpOKoDB25T8xEgB/fxm8gfNkqfHcQCUX+hTJ77+MjGrEhOSnv2LgpNl7klDulYpyzW9vzREZBik/dNH4GJB+/isNdz1ChTiIkhUVPk5UVZnCkPmZzgzKxFUXbNqh7fc4s7bjx6lya9p8DYkV9XB85Da3EHWFkH+M2bN1izZg0rdgsNDUWZMmVgaWmJsWPHomTJkqp+vhphT5Mc4Dgir08gsVcHhVdaD9w1IAyDdsm4J6UWyxBFElElUds9qAGsDLP+nNIVIl0lUh7kBQVymtPCSbgSq1epKA6nwpZx7eEb9N4mI7HPLAYPjfgj5ptQGIEGC88j/NNXRpco7wiTSmH/hpUZVyk1RTjFg19/RouVlxLXlplpWQoD8pMPFFQ1KfXgYkJutyIvL8rCQDeC9MKvzZ9lLVZeRPDrSEy1N8IfzX/kv74a9AZ9tss+788NrQVDg8qsZosobXlLQkCUFPLNmzdhb2/PGCBsbGygp6eH8PBwuLq6MlU4FxcXpgbHW3IENMkBDo34goaLXdkGUxJvq/O5y6sP3Xe0R15d8dRr8sITdFVGV2ZZ3Q7cCsHUw74onl8XnrNUx6TRfZM7PJ68Q/+GlTCvY60ftinPG3ljeguULpwkB57VmPD5NRMBQX6bqPcEh4V2uqp7bXSqWw5VZ54FvVhv7lsPrSTezlAEkigOhdbCSA/bB9TXTCCzya767/DApcDXTJZeoLdT5OVF2e0IdRRk5+Kk5qicCXz0yq5Z1eMFRdblXU3RLRVFVvm/j0N9DNHAxJA7wKk8BFEOsLm5OfLkyYPTp0+jcOHCiWZIHILo0WJiYpg0Mm+a6wB7Pn2HLn/JlPY8HWxRvEDuTHnc3iHv0WnjdTaX16yWKJZfV/S88nmCmem0p7dAZ79XGLbHk6UoPFzYmr1AKtvi47/DZK4zIr/FMX7V7vUr/GBS/spYHTLMyu6Bj9csBOhMGsw8w4qllnQ2ScYfu2dwAzStVhKmc53xMToWK7vVRpd60iJTPs8/oMOGa4mgNa1WAnsG8yCMOk+RwGBDlHPbrzxOEPSpB/tamZta1mOzO24mFFeS1G8jgxIKbZtuxSYcvIMBjaqkGkVVyGgmDPoaG4fqDrLbk10D66N5db0fZg3/FI0GC2VKcZs7V4a9RS3uACvqAJMQxqFDh9CuXbsfTJDccI8ePfDly5dMePQ/1xSaFAE+cfclxvzrDcohpSt0VThuYp5mwKuPiepR16bZoFyR5Io36dkIeRsFq+WyPEGX8VYwLJX1FcNUFU/FhNTuzrFD4by5xMCQbp9Hrz/DJuE6+PSYJjAum/SSKgz8FB0Dk7ku7H8PDLWEhYplmJXeBDegUQhEfYtFzdnObE/kpNBnh1A45TSuKYxKF4JAUejY0Rj9GlaWtP/bT96h6ybZ3xE1bS6IkgScEp3brL0C/9CPmNDSEDuuPcaHqBiFXl6UWAIbKogb0b8VeXmiccQk0XLVJcZKkk9XB7dm2iK/RCo+Zfeh6PiXH76g0RLZbWxan/excfGo5nBW9gLaqix+szHjDnAqgIuKAJNi2tSpU9GnT58fTOzZs4cJZPj5+Sn6PDV2nCY5wELuqn6J/HCdJJ2PV9GH/PRtJJotV6xaPDDsE+wSpJuvTLFGhWL5FF2GysbJy0mnxtagyEQn777E6H+9oauTgxXA6ebM8YMZKggUrpyzS0GgInvlY34OBOQjUHT7QpylV4LesMULN0h2qy8hMOxzqrzVGe3y+sM36JWQ005961YsgqMjGmc0jP9eCQQEnnGHtjWw89oTvPjwBfM6GKN/I2kvL0osgQ0VZH7p34pKYAuFdMJaFHWkld2LIuPvPvuAjn/Kbj88ZrSAXqHU09kECtCpTUpiRHsL7gAr6gA7OTmBZIV37NiBZs2SOERJAW7w4MHYsGEDS4XgLTkCmuQAExcvcfI2qVoCe4dk3lWjfBrDqdFNUKvcj9HNtM6d/DWpx8wW0CuY9Xmvrz99Tax+PzayMepIrH5Pba8Cs4RJucI4ObpJmn+G2Y0TmX9eaC4CT95EorkczRnlvm+98hg5c/yCwAWtmfJbp43X4B3yASOaG2CKvZEkMORl2WmgokqRkibV8s7E2kGfXyTj/vf1Jwh49QmTW1XHSGvVKlpmBLPJHGd8+hrLupGcPK1HSqN6iA4brjJ2ILrR/Bobj7T4dKXYzay+5/3DmIoiZc8FLWiNnDo/BjxoLRThDgr/jN/rFYJDdyvuAEtxgCnqK3/N/fLlS7x//57lABPrw+vXr0E5wEWLFkXZsmXh4+OTWc//p5lHkxxgQVqxu3l5LOtaO9OegXwh26HhDVG/svhCNvl0A5+5diiUR/l0A2U3Li/hunNgfVinkr8ldY4+227i6sM36Fm/ApZ0MU1zuEBLlV1koaXuk/f/eRCQ56V2n24D3+cRGLrHE0alC8JpnBXbSN/tN1lUOK3CzfR26+L3itkTWlqKWD8PYtl/pbXmOLPUgbU962CP+1Pcfvqe5c4SE0FmNSqaJGpLoREjxa6BDURPT+PpxcvneQTjyB3bohomHrrLxmeXW8KMNkMiINOOZFxILVCldameF6sGteAOsBQHeMCAAZLyPHfu3JnRc9O632uSA2y/5jJ74x9nWw3jbA0z7VnKO4xSqcwuB75Gvx0ebK0UdUotNSDTNiI3kRDBWN2DquGlFf+kXC+lNpAiFuXjzf+1FvpaVkpzS7/+eQ13nn3AKOuqmNSqelZsnc+pJQjcevIO3RJydOnls2DunDjnH8Y4ZIVUpD/2euLsvVfobFYOq7rXkYTMKWXTGIMAACAASURBVJ+XGLXPO3FMpeL5cGmytSQbvLN4BOhzRn+GrKhxWz9zdhtIjBD0eUOfO5nVPkR9Qx3HJAXA6qUKwnm87IVKTDvs+TzR4f17UAOmSkjFYhFfYjDe1hBjbauJMZOlfQRJavmXydQWJIhl2FTQwc5RrbkDLMUBztInrCGTa5IDLFRsp0W7os5HVnXGGVZxLJUuSYgSkSZE8KI2kl7o1Lmfpstc8eydagRFnr+PQpOlskK/oyMaoW7FomkuXaAx6mNZEQt+lXZtqE48uG3NQ8DtQTgG7pQxAxHbSWrXtJMP3cUhz+doZVwKm/uaSwLhiNdzTDgoi9xRI5lldwWk0iVNqsWdv3yLS+RtpqLGf26GMHEdorNb3UPay4syMMrXhJCdgnlywnduK9EmBSVOcnz3D5WpyAnpfRWK5cWlSdYsPSc7tznH7+Fv94zTEeee8MOu609gViweR6d24A4wd4Az91hrigMszyCwb4gFGlVVjHZGUfSFiCldvXWsU060GYG5gqp8/R3tRY9Td0fKP6MruNE2VTHRTrlIrDytmt+8VsiTK22e5LH7vXH8zku0r10W61ORz1T3vrl97UFAjPKg8AXduGpx/DPEUhI4Ap+2MEjVvNqSFqMFnd98/grzBUnKff96hGD/rWdoWbMUtvYT9/JCL+tzjvuBeKFbm5RRCDVKpWm/QSb5LjRfumEQmd7W5a/r8Hz6nimZkqIpNfmisp+BIUcQJMno5UOIFFfO8wWX5nXjDrAyDjApwBEVGqmJREdHJzNFucLHjx9X6EBr8iBNcYDl8/ncJjVnyk6Z2YTiC+IT7dmgouipD95+hin/+TDuYOIQzi6N0jIoPUMVkdhVLg+wzvUhxFwFCpEDzpmaXU6C5q5D+NtLzzFd6fIA610fMhlkUhST0va4P8Gs40nMQ5Ri4TtPfCRQyly8LyBPKXluvBVzfkmOWErxmOCQURrM2bFNFYJVXuFMMCCW4pLSOCh9gtIdqHCOCuio0c+JLYgKxrrVK4/l3TKvxkUREATRo6FW+pjRpkaaJvbdDMGMo74oHP8RPst7cQdYUQd47dq1GD9+PFOAMzAwgK7uj2IEbm5JuuyKPFRNHKMpDvCua48x96Q/CuXJCe/ZdkzEITOb1TI3hLyLwpz2NTGwcRXRUwtfkmUL58H1bHQ9KkRi25qWwZ+9zETvJ7WOg3bdgmtAODrXLYdVGVxFCs6yafnCODEqbbYIpRbEB3MEAOy89hjzTvqDrpWvTLFJFROBWrGqXgGcn5DELiQGwG1XHmHB6fuJXSm/n/L8eVMPAvLKYsTHfvDWM6y9EISMmGfkVzP7+D3sdn+qVLqKcLNAbCKUFkctLTGIlEjIU/OlLKjecjkYi84EIE+uHCClzCL5xAsuqQfxtK0Kxcwz2hhhqNWPMsiJLwYJhaLfP79FyJ/9uQOsqANcoUIFdOrUCWvWrEGOHKlTbmT2IfgZ5tMUB3jYnttw9guDbY1S2NZf3HWXKp9Pq9WX8SDsk2S+UOFDLbO5izPauzJXvyltN1h4HuGfvrLrPLrWS69RxIb4L3nBUEZPiP9eWQT+dHvIuH/TK9ShQirKvyxdKA9uzGghacqNFx9imdODZGMeL84+ef6SNvMTdKa0AUofoHZndksmbU0vIFI+W0fu82J5w/l1deCnYEoapV5MP+KLEgVys8jt28hvyaK56UF5PfgNem29ybp4z2qJonKqou8jv8Fy8QVGiTa9tRGGNUvbsczqxyW2iFp4ZrEf3+DFXwO4A6yoA1y8eHEcPHgQLVpI+5DK6oOS1fNrggNMkqZmC2QsA2KcLHVgTqTflKc1xqYqJkjImV13IQirzgWyynNFr9zUsZ+154Ow+nwgapYphDMKXgXSuuQjGmJy1+hLa9Khu0x9jlToeOMIqAuBZU4B2HgxGPUqFcXhPxqlOs0x7xcYd+AOY4iQmr4g/A3JG85OTC/qwjWr7F4Jeo2+25MYdQ57PWeOaMmCuZmKmpj225YbcH/0lnVNqzAyIzvCrYFByfzIp5sTvi8iRH8vCDeCJQro4rbDjylxQoEcqY1enmKd6TedGe2dfi9fjChIiqc1TigY5A5w2siKUoL7448/kD9/fqxYsULMM+J9EhDQBAdYPv/3zJimqFm2UKY/X4HP8PemVTCzraxwQUwTvoTNKhbBkWykErXb/QlmH/eDsqkZpGXfO0ENSwzPsTyBus8c8YUjYrDmfTgC8giIyTcnWrTfEwj9H0lkaVnuHIA/3YKTgU4qiAV+Ejnbn+20ON17heF7PZFL5xcELWwDQX1SSoGxQKVJe6cosiJpBvKf6RQFdvEPQxez8ljZPeO8XeFMWlQphgPDZAwQ8s3/5Ue0WXeF/Ugq41BmPc9n76LQdJks3VSQFE9rbuJsJu5m7gAr6QB//fqVKb7Fx8fD1tYWRYoU+cFi586dM+sM/DTzaIIDLOTaFc2XC54OLbOEImbgTg+4PZBeNOZ40p9p1jcyKI59v0urMlfnIRPYKfLm0sH9+YqzUxy/8wJj998RfaX4KiIalE/9LS5edNREnThw25qLAN000I2DvXFpbOpbL9WNuge/xW9bb7DfEYNJfgnO68LT/kxZjnJ/v8XGMxtU6EoFr7ypHgGBdk64PXILCMfAXTKaO6KYFFMXIhQz0xhFRSdmHvVlFGwkgFG5eH5G8yX28733thu49vAteltUxMJOqdNAdt/sDhJQEmtT9Uinb9Er5D06b5Slotx2sGWpIGk1ShGpMdsJn9+G8xSINEASFQH29vZmOcAhISGpmiEWiLi4uMw+C9l+Pk1wgIf8fQvn74en+0Wm7gch0L6IfdMX1kMVsFQJa2Okhx0D6qt7maLty18nKhO12nH1MRxPpV9olHJRwksBOd+XJjdPU0de9GZ4R45AKgiI+ZuVp7S6OaMFShUSL1Uu5NETywTlgVKj4qXShcXb4A9OPAJCvrZwayUvdELpVOQYp9fIGas282xi4ZpUWXvB9uh/vVn0uWOdsiyFbPHZAMZKROxEGTWLRecR9vFrusXUZ3xDMeIfL2bKeZwVqpcumJHZTP29PO0lpfxk9OLReIkrnoY84w6wMg6wmZkZYmNjsXjxYhgaGqbKAlGpUtoKVJl6QrLRZKk5wGEfo7Hw9H2QA7Kos0mGBzgrt0OykXUcXfApOhbzOhijf6PKWbKcCQfv4IjXC7Q1KYM/e4tnTRDGtTEpjY29U49CZcWG5HN3xVYwp7bOFc4PsMFNGo3Uu8hvaLbMDZ++xqKXRUUsSiMSkhW48Dk1BwGB6q9fw0pw7Ji6UtjjN5GginZqFyY2g0HJAqIBoPxTKoiigs6nb6PYuMuTrVGxeD7RNnhH8QhsvhTMnE3Kvb0wsTnkWSGuT7NB2SJ50zUWERWD2o4uiX1ITKORgXQ+eeFckQJd/SrFMOZfb+TOmQMB8+3TFTr6GB0D07my+fcOtkCTaqnPHRsXz1IMQiOi040Ui0dOtT3/ufkUM4/eE5173XHDVXj6B3MHWBkHOF++fDhy5Ajs7RW/rlXtMfg5rKV0gM/6hmL6UV9WUEYtu+YZCej6PP+ADhuusf8Vy7WojicjXHtJjeSO/McLp31DRVGEqWPd6dm0W30JgWGfMcxKH9PT4XJMz8b0Iz741+MZWhjpYbuECLdQoU/RA3quUhyPzMYpq+aL/BoLoqszr1wMw7NxRXhW4ZPRvF3/uo7bT98z7Ka1Nkq1u/yL4IlRjWFa/sfUurTmmXjwLqgQi6KA/qEfWbfzE6xQVS97Rewywuln+f3qc4GM9kygUJTPRRXz3fDo9WfYrLyUuF1Fv/vk5dytjUqiy1/uzKangy2Kp5MOIJ86kNFNgZBfbliqAFzGS6PnU/fzXHM+EGvOB4kuoCaaTBcPf+4AK+MAW1paYsSIEejXr5+6n69G2RccYEod2XT7A8tdkm/yggTEtrDONQi5c+rgj+bZg4JFeOunqlmq9KVUl6xoC075Y5tE0nVa5+Bdt3AhIJwRnhPxeXZqwhVurXKFcGq0YqTwQ3ffZkUgUsnbqZKYIm+vPkYrJEObnXBU11oEvlFdnRx4sCD96JK61vAz22299gqLEk6yM8Qom2qpbiXqWyxqznZmv5OqMClchTeoUozlbFI7PaYJjMsW/plhy7ZrF3KuBQlhog2rO/8cWy+xfBDbR3rN8+m7RGeV+i3vaopu5hUk79dmxUU8ehMJ4sBtZ1oWjZa4MhsZpVQIwixUJEnKcel9lwlsOYqwk0jekMQBws1HM8OS+HtQgwxHT/nvLva53uEOsDIOsJeXFyuCW7ZsGaytrZEzZ84MgecdAMEB/ueCF2a4vGSQ0AcF8ekudQpg/+86sRn0SxbAfo8QTDviy36WXa7yBuz0wMUHr9HOtAw2KCnYoMx5UFQxSih6GNi4Mua0N1ZmCSof65JAUk7vFMRJqUhFtCDrmV6ULa2FC3yaNP+9udIKkFQORjY0KDB10NKkFmhlw+1k+pKaLXdjqQmz29XEoDT4qSkv1GDGGZCewZa+9WBnXFr0Oofv8YST3yt2+0EvudSOjmiEuhXTd8RET8A7JkNAqKcQbpuo8NDQ4Szrs3tQA1gZlkwXMeHzTuikKKWm+YJzePP5G5Z2MWHsD7SGlOcnOiaOFWBSvmx38wpM+n3xmfvYfPmRKNXB6w/foFcCu44UmeXMODKC8FHP+hWwpItphlOSn7H+xE3uACvjABcsWBAxMTHsPxLCyJs3eb4PvU1FRERk+DC0rYPgALdacAQBn3RBdFwHhzVkf7D05kr66oMaV8FY22osIkf5mdQUzY9SJb4xcfGoM88Fkd/isLBTLfS2yLocb+HKXozcrzwGgoNIEfWp9qlfw6oSMym2SI6zrqMLOwt/9TZDa5MyUoazvoIi0Mw2NfC7lb6k8U/eRKJ5Qv5ldiz2kLQZNXQWrnzJtPt0G5QpnH6OoxqW8FOblHdUetRPW77cZK4zqzFY1b02OpuVF71nwRHoULssiFWFmhgubNET8I7JEBi33xvH7rxkzuT63+qy35HzSY7wxt5maJPB55d8gIfGjrOthnG2hpJQphcmmjMm7nviZ2bDxRdYvi7VqJCzS6xFxAwhFEZSrY3rpGZwOHqPvSiJKaSWT9cg2edqpbJPWk2btVdYys/YFtUwvmXG+BF//nWfQIxoZ8GFMFI5baJYIObOnZvh9fecOXMkHWZt6Cw4wOX+2IWchUpgxwBz2BiVYlsXZGkL5snJirtIW11oq3vURqe64r8M1IHlvRcRaLf+KjMttUBF1esR2A4qFsvHCMrFNuHDYrytIXvJyG5NEPiggo75v6ZeKJTemk3nOuNjdCxWdquNLvWknRf64qo+6yy+fwe29TOHbU3ZueRNhoAg20r/zohvk2P2IwI1ZjnhS0wcc5bIaUqrNVp8AS8jojG/ozH6NhRfZNtn201cpUidRUXG9EItI2EA/pwUR4D4mom3WT7yWG/+OeZoLutiiu71009nEIIYwgoo8DO7vXhOdxqXWsqMEOSwraHHUiMevY5kU+T4Bcilk4Mpu3WqWw6kihbyLorlo2eU0y8vNkFpBpRukF2agDml9FFqn5imCWxUYvapSB9RDrAihvmYpBQIcoBrGVZhamRC7hFxsjZe6gpiWkjZKFqZ1XnAhz2fY+KhuyCic7oiz0GfKFnUhOt6KapDtFSblRfZB2J2lbak66m/LgZDv2R+uE7MmMZHHn75K0hFmSQE52NO+5oY2Dh9GeUsevRZNu2ofV445RPK5qdbG8o15U0cAvSZRqkN1HYOqA9rI700B7ZcdQlB4Z8ly5wLfK1DrfSx5fIjZn97f3O0qMFf5MQ9JWm9hHQyeceVOMXJqUwvzUWYhSTYSYpdaF3rlceKbhmLV8ivkr4zSa6YmpDzK/93Sj+nryl6KRra1ADn74cxmkj5JvZln27n3kfFYElnE/QU6WhKQ1R676+xcaju4CTq70reOneA08aaO8DSz6HoEfIR4I3DWoKu6+TbH3s9cfbeK/Yj4lckDkuvkA8Y8H+6sbkdMi9nlTgdqdindoWkKuzEnKnyhXF8VBPRe1ZHR0HwQWpRAnEgvvjwBY4djdFPQnRJHXtIzebVoDfos12mTZ9RZXLK8USnZ7FI9mVwclQTmJSXXvzTY7M7bj5+x9JwpEZjMgsjZeZ5/ekrxh3wZuwCUlNghC98ml/sl6Yya9WksZ+iY2CSQDmVUVpCp43X4B3yASOtDTC5lfg0JYENYLRNVZA8rvy1uCZhmV32Is++MKlVdbYs4YZtQktDjGmR/g3b+AN3cNT7ReJ2WhmXwua+5pK29+DVJ7Rac5mNEYQ0Fp25n/gCRBLGa3rWQf3KspdVSuOj/kJUmH52cVJzVC6RP8N5hb3Rvmh/2aHJM29IUWXlDnDaT0+UA2xjY5Ph83d1lVVj8paEgHDwLGYcwFXHrsipkyMZPPLJ9n/2MsOFgDDGd5ueepKq8RVUyYhLkfgcBSoZQX1NKsOAqtdH9gTy75w5fsHDRW1ETyHlik60URV2pGIN4qYkZTapaQzyEtVieDhTW7ag1kVFmdv6S/syUiEMajMl0MTRBFJVwgQWAxorNT9VbRv6SQzLv5xlVJ3fd/tNXAl6I/mlX3BQJrY0ZA4w1Sqs7VkHHeuU+0lQ+rmW2Wr1ZTwI+5QsUi8fhZ+RAZVj/x0euBT4OnHTDfWL49+h0tQ5UxPf8A55zySaGxuUwJwOxj8Icsgr1pFq4H1He1Hc+4IAVHfz8ljWVVqkWl1P9vaTd+i6SUb7JuXzjDvASjrA7dq1+yEH+N27d/Dx8WGyyHXr1sWJEyfU9dx/WrvCwVt34gZGt7f4YR+U1E8J+9Qo6rvc+QE2XgxGnQpFcGxkY7Xvm/J8u266jugYmZSofKRLiJ46tK2BIU2lFVipeuGXA1+DCNCpBS1szXK7xDTj2U7Z/oux5xZ33Hj0TlRxhvye5dXkiAQ+Ty4dMZAk67P2fBBWnw+EUemCcBpnJXl8dh4Q/Poz7FZfTkwx2trPHC0l5DlbLrrAaOKo8RQRaU9avoiIFLpIqSutJrA5iClOkrdhu+oSHoZ/ZjmdRNdI19XLupqyQijeVI9Ak6WueP7+SzJBJKEQUYygTvv1V+H7IoI5n5QiY1y2EE6PkUb/eN4/DEN23wYx1wQvbCMqLY++Y/vvvAX6DpEyp8MxX+y9EQJ5qlLVoyrN4imflxi1z5vJfz/IQPhD3jJ3gJV0gNMaHh4ejg4dOmDixIno1q2btKepBb2Fg/fw8RMYVM6YRUGgXipTOA/cp7dQK0J0Pdxhw1VWQSs0uk6caFcd8leY2aEIQP7N32euHQrlSV92U9gP5SHSh62ipOtqfQAJxtdfCMLKc4GgZ06RXLFcy0JaSH5dHfg5KiZQc8TrOSYcvAuyQZLMYufODFyUnUOQ4hXsDGumj+mta4gyS1+a1Wc5sQp3atm1iFLUZrKgk7zEsceMFunKbQu3EFJvveRp1jZfDmYSt/9r7yrApaq69vKjW0FKurvz0p0WWCgGKAKCIC3doSDYhSgq8QECitLdeWm4dHenNH7//+5h3bvv3Jk5MXPmzvWu/Tw+ArPPjnfvc846a6/1vrHNVhMLUAety9JDFimWIp2/FypsOEFEaN8Xj5ghvA2IHSo50yWno5dukdWEZrTLz6vUSRPSjoH1Tc8dJxIQkHi2RBYKy5PO1HWctMfKd6YucrgSGC6GztlD2dImo1U9jE/leThiADtkAKPZ33//nXr27En79u1zePnjXvNWN55VnW+7iEB045Wx62jT0Svqa7JQ5tQEuhRwOYLT0Ypqjt0xWLlOZ6QweqFyu4j/gvY8SigY8d7mu/7wJWo2dr36ObxvHXrSh5qR3gYSSpBYYudFwu3YPVKzsnaxURd7GQwbKBlSJaHzN+4q/m0Q9pspN+8+oKIDXAINKO9UyUXgLZViDgF9T+PDCuID3goLwlTJ+yRNbBXzlMzbdUx/NfT5ogQD+MTl2+KpN7c8tmoV6DtPMSrolGfu3MC+Gi7Yb546aQSjAkIhHk+eiLb1r2dpLOPXHKFBf0VQ1ieS0eoPzRuAljp5VPn3rSep81RXEjh4wEPBOcBiJOVyPkG/tTX3LMN0rNohdvCKq9eYigH2NbkZM2ZQy5Yt6fp1lxyllCgErG48/cVt1tCzg3fE6evU6ItV6lLEnv597wH1n7VbPZQgyjB10wklygGKth0DfKvm2Onf6jU46sSRJ8qK7jUoRzrjJAYriThWxxPI+qev3o5UM7KSzMZynf6Ey+ixmgi5QVtxvcB723zcBlp76BLlfjIFtauZl+BlRJInTg/MhIroySbAIxTi4OPSuizde47e/jlcDfnwcN9H1Z8s2EdfLTtoOexLj++HAXwohNle4tLaeRrrg4f/UN5HzgSdcYYT0PDRDk8pGCGQUOvOSa7TlyHUD2F/CIU4OKyhJcOSQ7ashDLYxV7/iNs+oF6M2GK77fpzHasfWhWmsmqH+DPGuHatKQMYSnDu5d69e7Rnzx4aNGgQ5c2blxYvXhzX5u74eK1uPJ3m5c/3K6vsdScKv6AQS7V/aEPaffo6IcsXBSp0eED9tOYIlc3xBE036TVzYpzcJpgccISGYpaTFSEe5Ya59uSs9pWjMVw4OVarbePlguN2q6EaPWfsUNzR4L8c91Y5q92q+jgJKNjfddRvxNdqq4NYuAh8n+AGRYG3qnjWNFTl42Xq77+1DYvMEPc1NP1DFPXsZKzHwtRDpsu/tp8mvKzhPYswCM8BDSDoAPNmSEmLu1Q3PYdiAxbQjbsP6LNXSiqFL8guIyGugwEbgekOpGIkAtfv3FfJuu730FdLD9AnC/dHQwpOEzhR9IRv/YNy4P9z/w78y0VNZlVhcfBfEeq9VClPOpr8rrUEOqvLefzSLao2yvXcMPvOsdqH1fovf7eONh69TK2q5KK+Fk6krNohVscVl+ubMoCh/uZ+BABPC0qFChVo8uTJlCuX8Ii6bwSrGw/GkCdpx0BvMObVfTJlYgrvW5fAL4gjX1AJIZZr2v8bViCZB9E2CLdjuyD2DDFoKGblTvWHbqgrndnh42Vien+zlJkruUeDAtSuRt7YXmq/+x+zaD99seSAipPDxxxK2IilKqHNLL/2sn3nqeX4TZFjqZg7LU1pHeb32OJLA6z6Bc8gwnp8lQnrj1G/P3ZRptRJaX1v83kP+pE8DGB8tHAOQ3zBOVjz9MbqcezS34Q4YBi7OdOloBlbTqohzXgvjMrkiOLN3nHyKj37lcvBMr5luch7y6rCYtdp21UfVuPF7eBkl3PXTl9mr2HeZauJ6VbtELPj+TfUM2UAr1jhOn7WS9KkSSlr1qyUJYtztDO//fYbTZo0iTZv3kxgnciTJw+999571KZNGyXJzGXu3LnUp08f5ZHGmLp06ULt2rWLMeZPPvmEvvrqKzp79iwVK1aMRo0aRTVqRBcguHHjBnXr1o2mT59Od+/eJVDAffnll5Qjh3ESm3uHdjZeheGLVUKHVWUkK5uRj5IKZ05Ncz9wZeIiIW7HyWvq6xKJDYibxNd6ixAQSNCVeczKRB88f4PqjHFxRpoNm7CCYSDrvvjtWgo/doXerZqL+jQ2F2vKCkhQNUImvN3C9ESh8rFjdx58HbNq6B8G7SdvoTk7zlDtghnoxxbG3nJOtuE29fvE3/HFh+s5Ph0JT8sffYR4m7edZE44X3L3nhupYgghDHjG2lTLTb0M6LjiA/6BnqMZVg+sCU5acFrnzp2rf1Au7Vqdao122RMLO1ej/BZkhvmj/5Wy2ejjF4sHepox2mM571BIrtQTc62e1tmxQxwHN0Q6MGUAx9ZYK1asqAzPJk2aUMaMGWnZsmU0YsQI6tSpkzJeUdatW0fVqlWjN998k15//XVas2YNQZb5+++/p1atWkUOHcZv7969afjw4VS6dGn64Ycf6I8//qCNGzcqY5gLKN8Q8jF69GhKnTo19e/fX8U3g/ItWbJklqCws/Ge+2o1bT95zTIxvJWBcfJCjQLp6eeW5dWlTPuSP2NK2n/upvq3ya0qUKW8T1pp2pG6OKrHCw9Fl5P21Zmeib6hd23KmDqpI2MLRKOcTd24eGYCH7SZUmPUMpVNbdUb4N42vG/wwllNQjIzxmDXgdcGR7VI1tF5lX9ec0QduyLGfUvfuob0SZxtzeMPRtJNsLFysj9mNjHz4aAbR2YpDt0TXH9YeVidWAVbQMhJDEOpbbNJyL1m7iScLkJQCWFnXFhVFOERq3vUohKDXeEU09uGUdlHohVm5su8w1YcBWba9VaHqdtC4WThyt/3qNSjU1CzoVw8Lzt2iD+4xaVrQ9oAvnDhAqVPH12HG97db7/9lq5evUpJkiShhg0bKu/whg0uRS2U1q1b0+zZs1X2IzzF8OTCgMa/jxw5UtV5+PChMnyLFy9OU6ZMUf+GNmB0z5kzhxo1cgkuHD9+XHme4QVu27atpbW1s/Fa/xpOCyPOWeaFtTIwJvnWv6SnhZ+gHtN3RGvGCiuBlf7t1OUsYhiIMBSNytpDF+m1H1x7wigT3agtp3//aN5eReZfKvvj9Hs7c/zPxQYuoBt3Hvgt0jB25SEaPncv5UiXnFYYeOucxsHf9jceuUx4SaKs/rAmZX0iuWv9T12jp79crf68uEs1ypshlc+uRs7fq/i4uVilXfJ3HnH9+hHz9tD3Kw6TmWx1nXFmc986kUI8vjDQk6r++25F+mHVYVq697ySwB3eJPZDtuL6+rmPf8PhS/TKI6YaX8/S+bvOUNuJWxRPLz40n0iRWDWFD5Rhc/cQTgSWdK0RKZNt1pnB42nw2Urae/YGdauXn96v5Vt5LhBrEIx3sdlxIsYd4jworIJn9lo7dojZtuN6Pa8GcKpUqUxnaCI++Nq1a0HBYsKECcrbe/r0aUqbuMXdwgAAIABJREFUNq3y0n700UfUuXPnyP4RsoHQhvDwcCpTpozyHCOUAZ5diHZwQQIfPL0YO+YAz/EXX3yhDGo95rlmzZqUMmVK+uuvvyzN0c7G6z9rF/26zlmPHIc76F+2+8/dUMIBXNKlSEyb+9W1NF8nK7M2O/TjoSNvVDgRJ2kil/pPKNDYeBsz8z9nTJ2ENvT2HTOJNvT4NH8p3ubtPEPvTdpCiRI8RnuHNDSlkmSEfWz9zp5HSKKu6RlFk4TY+hKDFipRFMS0I9zDV2EFOSbtt0K8H1tzD6V++VRBP2HyNj4IltR+dCSO4/Hc6VMaTuXqrXtUcrArJwDUdjCw5u8+q54LeD5ICSwCupraoeGNvD4jkCxXavAildCrH9PzB37p7I/TzHaViRMYrSr3ca5EsKTtmaIvGEl3Riumn5TsG9qAkiQ0L3xkxw4xGs+/5XevBvDAgQMNjYbVq1fTkiVLVD14VINR4MUF9RpEOMA9XKRIEZo3bx41aBAlBgDPcYYMGQjGMsIivvnmG2rfvj3dunUrWhgDYoxffvllOnHihIodxp/h8V2/3sXLygXXLliwgA4ePGhpinY2HhNwW82KxrHgY0Qx5JY9DTgyzvj5ovRGRVdsMx5a8Creuudax1BL/OGH3xBtzL4Wgzkj3Y0hSwsYpMq6whFYOYyU7nS2ECOpWaMp6N5RGI3AK66W18dtUEfhTUtnoTEvl4w2Df7NjOJYmwnhtGD3OeWxQpgJSqhQIcWFtekybZuSdG9cLDN93dx3SI/O1mKWiu/89TtUfvgSBQX2P2KAzQoyxAX8Qm2MrECWLFEC2jPEt+jOS9+tVfzy+sfIh9N30NRwMNa4JNcjn+XPFaE3wnKani4StcHRbdVwNt2BW0WcysF4h5IhFA1js3BiadoUiZUMspVixw6x0n5crmsrBAJxtjCQYfwihABxsk2bNnUcB3h0w8LClKe2b9++Kt63SpUqKg4YoQtcHjx4QIkSJaLPP/+cOnbsSMOGDaMhQ4bQnTtRqmeoC+q2unXr0vbt29U88OcECRLQ/Pnzo80FfcGIhmfYV0GssM6HfObMGSpfvnykgW0GoMh4qSQJaecgc2o3+PJu9PkqJWoxp0NVSpbY+9chDN18febSP/8jGvtGGapXJFPksDjGCv/wVlgOGvRcUTNDDkodZivo06hQDJ5JTwNgflH3eLSgDNZiJzovs5njrd2nr1HjL1xH+lCPe8oPo/XarfuRMXk4TvallAT6PMRSF3kqjcUZOl8dH4CI/719/yGNfKE4vVwuuiQulKA+W3zAVKgH0w0xaT9Gb2ZdnJ9l3OiBPyDM8CeDgg/MNyhmTzPcGV4QAjF9c3DYAQK5AmC3GfTXbmpYNBM1KGoc1hXIvq20xeFxzBrk61o+hcFp1vpetZVzrNUv4bR4zznixFQOZehevwC1r2mOeUbnIgaTRM0CGaxMwVZdTtAMhVNEfn5BtGreo8R1s5MSA9g7UpYM4FWrVineX4QUlChRQhm+zz//vNl18KsemBtAuQZP7fLly5WBywYwPLb4jQsbwAhn6NChgzKAhw4dSrdv3442hkWLFlG9evVUghvigWEAJ0yYUHmU9QKGie+++44uXbrkcw74KAA+7oU9zGYAWHPwoiLyRzHLkwjvBxKpUCa8U56q5oseN633e/7GHSo/zOU9cfe4sNIMfoPC0uuPvMNmxu10ncZfrFJ8xV3q5ldZxkaFeXLNZv4btefk7/qR7tTWFalCbt9yndC1f/OnjWpIe4c0MCXu4Gv8xQcuoOt3HtDIF4vTy2WjG4583bYTVxVXNLhdESucPlUSJyGx3LbO/+uJ9WP5vvPU4hG1mdF9BdEViK8waT8GM6djlZA0/C0DFYQL3vhxA606YD4prVC/+erDBRSMkNU1Ku6sBDCAJ284TrUKZqCfTLB8GLUfrN/HLNxHXyw9aOqjLFhj8tQPJ5GakeDVKc+YP7fpN2toy/GrxIw1/IFpRZ5cTwJD2AuUHZ0um45eppe+c+UUgNuYY5qd7tdT+xyWVbNAehr/KHHd7DjEAPaOlCkDeOXKlcrjC8MTDAowfJ999lmz+PtdDzG6iOmFBxdhF+nSuQyEiIgISyEQMIBB38Yl0CEQgfAA66pnS7pWpzwmYuJ6TN9O08JdHIwda+WlLvUKeMVcP/J252Hkoy5cbDXT1O9FNmiAqcLeq5FH8bkaFXevg1H92PwdFDdFBrjCT0Ds/3wp39SCf2w9RZ2mblMSs0hK8bfwx4WvvcMhJegrFLKi3ef8zfKDNHL+PsUni33tHvOtew2NwkZYZUwn7Tfyjvu7BlavR8x++pRJYvWl7G3MbPC0r5mHutc3vlcrDl+ieJrNhjftPXudGnzmSghC2A5igCHeE9eYTDgXAyqFiOsM1TwFFrwomCkVze9UzedWBWNP2WGLCd7tXg0LUpvqeYgZa/j07p2fN9GSvect8cwfvfg31fhkueobgikIEXS6nLxyK1JEJ7Y/gFuO30jL9l2gV8tnoxFNrVHAiQFs0wCGwQuPJpLKypUrpwzfxo0bO73vorUPo7d+/fp04MABFeqg8/GC3eHflgSHGCfEOqGYoSGD8VTpo6V05porvCMsdzr6b2vvKjnuKnB6vCni8UC2jVAKvFhgYIVKsepVavLNGtp6/Cq1q5GHepgwmGN7nux1NHMsyDRdgWJuaDths0oialIqC336SvTYWcalz+87adKG4+qvaZIlUqEXKUJofzCf8XMln6LPm0UluvL4EfpTyITqHV7gebUQoXaTttCDf/5H371ehhoUjQoXis39gqz8Zj+sVx/H8z+oairuP5jjrf/pStp37gaZ2csYl9X6updxY5/a9OOqI0oNrnzOtDStbdwQLLl48y6VHRqlnoq4TsR3hmIZMjuCwO1s9G7hsX8wZSvN2naayudKS9PahKncEjDWMDVh56nb6PetpxSbj1naR/c1z5DKeVpLhFUhPAeaX+PeLEt1CmeMteUBAwSYIDrVyUed6uS3NA4xgG0YwPC4IuQBoQUwfPUkM0vo+1EZoQyILYYHGv8hTte9gAYNlGgwjrmAruzPP/+MQYOGfwdjBAqS9tAeQh/cadD0pDqEL+TOnTtoNGgYGwf7j3m5BDUt7ZvxQPcY41rEK+0YUF8ZsZ6Kuwqce53TV29TwgSPUTAeMFa2BpOgNyuXjT56wfgLuOrIpXTi8m3q93RheqdK6KsUsoHfvEJ2GmZA5cQ0XVZo03xhzaEvOFbE8aKn8sr362jDkagY+AHPFKaWISCSgrHqLA++SOvrfbpCcVz7CqOJftQaRu/+ull5s3yFh1jZx4GoyzzeaMssLWAg+jXbRpWPl9LJK7dp0LNF6K1KxklOfCTeulpu6m1CyGLzscv0wreu5/32/vVo3OrD9OXSgzH4Z82ONzbq/b71JHWeuj2y67kdq1Lhp1LHxlAM++wydRvNhMFqIqkRjc3deYbw4YiC5wlLk3Ps7oBZu+iXdceoWv709OvbLh56o7LqwAV648fAhX0Z9ce/B0OYysxYoISK59BHTYtRMwMWG/f2xAD2jrDXEAhWWkuRIoXh0YxTNGhQfBs7dqzi7q1a1aVYxqVw4cLK+8tCGC1atKDmzZuruGAY7N6EMCCkgTCOcePG0cyZMz0KYWzdujWaEAZCMIIlhIH51R69nA5d+JvMyNPy0TSO0e49/EfB40sumIPpzZDUm7kxg1WHxSK8efjcx1G4/3wVUhCsjGF/ceCYZTNxjFy3TqEMNO4tY2Uzo7ExDRvie0FdBUlstP1KuSi6MFZFwqkATinAFoFYW8igxnaBDO5zX7ukVn0dj3Jyli9Ptzst19s/bwqI4EigMHI/8fH10RKoPq22wy/rUS8Wp5e8xJTrbXriJffVp87xDYpDnIiMXrSf7CQIWZ1boOp3mrKV/th2OrK5YCV22Rk/H7+b+ThH+zhtwTsMDCqgPkP8L8qf71em4lkfJ05QLpntcZWHYqZweF6ShAgXaWjmkoDUwXMFz5fYPEmMJstsIwFQDGDvW8GrAewpmcvXjgIzQ6BLzpw56dixYx6bRSIeyxhDChkqb7oUMqjL9IIXB0shnzt3Tnl+YViD41cviONlKeR79+4FXQoZY2k+bj2tOXjJFBMDx1NBH33z8SuEMAZfTAmeVOACvW5OtMdUOvUKZ6Sxb5b12YVOlD+pVQWqHAJqdkaYfLHkAI1ZtJ/MxNlxfHOgJEFXH7hIr/8YJSSDsf7nMaKt/eupcAc9Sa//04Vp8OwINZ1Q+biYuP4Y9f1jl1J6Q7KKt1hK5iP1xQwSfvQyvfgo8WVb/7qE0AooM7rLuxqtp1O/6/Gv3IdZ+jCnxuTeboG+85Qa3zfNS1OjYsbsBkybBjaEb18vYzhMPaERvLQwgEfM20t50qdQQguhXvQ4WR7rxy8Ui/bBGUpzYCPw/Zp5qVt97/kl+pinbjpOH87YGW0azKTC4ju506egpSbXC0mOeHdlSJWENvYx5koPFH7vTdxM83b5Dg8LVF/e2tHzF8AAgQ89K0UMYO9omUqCswK21I1CwO7G4xdC/SIZ6fs3vBt7oBCCQAQI/sHaAM/I3J1nqW7hjPSDFyPRqrclVNaTScmr5nuSJrwTxfjhaXz6A4MzkUNlHt7G8Vv4Ceo+fQdBLnTnQN+JbZxkZDYh0GjueCF/uni/8tgk/M9jKj4PhRlFdKMQMZfdfttBYKIomiU1ze4Q/WTGqC8nfmfxmAq50tLUNt5jQKdtOkE9ZuwgKLuB19eTobxw91lqPWGz+gA4OKwRvTV+oyVGAyfmp7fJyX4QqkmdLBEdufi3Yk4Ag0IoFJ2u6ueW5aiGCboqUIGNX3OUzAoO6Gt0eERj4lMwMywFoYCRfmLBJyqd6+SnD+oYs9vExvirj1pGxy7dshROhncTruPcFIw7YnB9Sp44ITGnLZhkNpk0Zr9dfog+nr+X8mVISYu6VA8aDIP/iqCf1hyJ1fhyf9ko7NohQQM5FjsSA9hB8O1uPI7xNOKw1SUqV3avqbgW4Z17InkiRZbt6QXPmcdGbBEOwmKrafbeWZVXDSU5Z18TX3vwIr32iP5u58B6lCppIq/V+YXUt3EhalU1ty08fV3E7XOsLL+w2HBcvu8Ctfx5k2oiFPBl/moj7mr9ReJNdpc9V6yE2H7SFpqz8ww1LZWFxnhJEAz4AvhokIUGIPaBI+T+s3arj5ZVH9akzGliX8Tk2u37SnUPZXrbMCqbM60hPByWVeSp1DSno/EH1ZwdZ6j95C0q3wHqhZM2HKM+v+8is0qKhgNyuMLniw+oD04wlhTMnIpwP4WyjLNd2fWfVh+JPC3itQK0vH5Wwhn4IynYAk2cM4MPFXw0Qx0y2IVVTZHXs2+IdbYQu3ZIsOcZG/2JAewg6nY3Hsdk4gG5vndtryMcvXCfSv7InjY5rexRk3SKs8VdqlHeDKliXOtJBc5BCALWNL80zHgdF0WcIyTN4Vl1YJh36c6ADS4ADek0Pws7V6P8GWOuHXfDUqKfvlKCmpQyloW2OjzO4uZ45KGzI2jc6iMqng9SpnqiWGyHmCC0CbK4MLyGNymmDAlvRc+892acuXuamH8zUPHWVtdCrw/RklJDFioRG0jNYn3CRixRHM6xGaOoj/HMtdsUNmKp+ieziV3swc36RDJa/WGUhLU3rDiBDB9kOwbWJz49wYc/wnZCvfAJDkKYILM9ZdMJClW+cjAh5Ovj4sW3GqeMULQqHy9TyVu6Iqee0GZW1rf1r+G0MOIcmVFyDOT66yFHRs/lQPart8WsP/yet9qPXTvEaj9xsb4YwA6umt2Nt2D3WWozYbP62oQ0rrevTo7N4uQEPRt+RNNiimdRL75U4ByEISBNc9yYmTg/9liaUS4KyOAC0Mid+w+pYD+XAqGvF42eEGFWOcvq8NggAS0TPKXw9sJLxUpOaI8/pGKbZUOXhTYiyIexXHzQQkXJ5I3VYfjcPUpalymcRszbQ9+vCA2KLRa8wfNgS9+6lCZ5Ihoxd4+iALNynGx1P1ipf/D8DaozZqW6xJMgiae2Zm45SV2mbTcV/oPr2UvP9zcrdqVInIB2D/Yt1WtlLk7URTw9kgTxEYMY6b1nbxDi/8182DsxHqM27UhV623yc5tlkPGbHgJi9gQpkqu8dj7F4hKsgncmhIIQZhhbcdp9/9hJE9cfJ6MQL2+Y2LVDgoVxbPYjBrCD6NvdePoDAnKSmdLE5DzUvUHfvV46UkqT6bQ8HdnqKnCz2ldWtEFxpUxYd5T6zdodzZPgbexM3F4gYypa0Nk3cXsozZ+ZFnx5MnUPm5Ggg925bT1+hZp8s1ZdjtCa18atV7RWvRsVpNbV8qh/hxId4oB1o9huf/5ct2L/BZWohmIUOoI6/NHoLX6667TtNGNLlKzu18sO0qgF+0wlJ/ozDzPXMh2VzndrJXTGTB/+1rFj3CzZc47e+SVcdY2kNqNjZn4WPJUmKa3tVZvm7zpDbSduoUQJHlMnPqFcmM1AfcT0q6vCAZDcFSofMO7YHTh3g+p+6vqgwbMge7rkluDFR+e6Q5eoYObUkTzHupLf0q7VKbcJsaeSgxfS1Vv3Y8UIfXXseloH7m2TFJyWADJRmTmA21TLTb1M0AS6N2nXDjExtDhfRQxgB5fQ7sbTj5intK5IFT1I47KgBYYPLkx4g1CYTcBTQogvFTgHYQhI03zMCa8kXhy+CifMmU2qCcgAA9AIx2f7yrYOxhrCy1xswEJFqwevR8+ZOxUZ/E8tylKtgi4yePaUlsiahma9XyUAs7fXBHuY9CNWXy0xCT9YU757IybjAGjPlmoqVRPWH6N+f+yizGmgMOc9HMne6M1fBU9UuUcKW1BChAGPoid8mg05MN+r9ZruFGXJEicwbESPzdafZd4uhCgDxBlypktOy7vXJP1ZeGREI0PaTsMBOViBTxSKZUlDf3WoQmz8IxQCp326MJGDwzDd9MYjlwkx9ig7Btaj1D5yE8w2qocimXHE/H33gVLKRJn4TgWqku9Js10FpB7n5Jhh6AlIh1oj1++4Yurx/B37RhmqV8S6GI9dOyTQcwnF9sQAdnBV/Nl4YHe4cst7XOOoBXvp62WHKH/GlLSwc1RWrP4CYtoZnmKoP2x9LQV7TpIlSkB7hvg+5nx/8haaveNMSGXHm9lmzFPrK+GKw2MQ3wwckiQ0NjDM9O1ehz2lCAXASxBF308zNp+krr9tV4lIuwc1MPTa2RmDmWuYMcVsDCV/IHo7HXj+6zW07cRVYhnfUDle33L8CjV95JXXmU0Q9lSg33zFvRoKanV6/D28uWbkfSHrXM+Cl5HjtPnZp9P4mY0pNbO3nKjDtJUcyxqMD1p/5jF/11lqO3GzSrQ8MKyhqfU06k8P42KmGV/X6PtjWbcalOvJFEZdBPR3Zh3BRwoYevxVSMVHK06V4FGuZEDRqVP+eUvcNZqsP3aIUdtx/XcxgB1cQX823ovfrqXwY1eUihniLN0LK3O5a4Pj4QKJTcQ56p4iXB+lApdEZe/HpaIfkxp5efjIqmXlnDTgmSJxZppmMp3HLNxHXyw96DgdEHvRGTwYuhGDGtB/HmVB7z59jRp/sVr9bOalhBhnxBHP23VG0YqBzs6TZLHVxeLYQLNJYHpG9d7BUfPhft0ZNpbtO08tx7sYLw4Oaxhrwh+8N+DpXv1hzWiGCKseOsUKYmVN+IMhVZKEtHOQbzo/bvfc9TtUYfgS9de/3q9CxbKm8dklJ8Qya4TupTQTBmNlPoGuy2vVq2FBalM9j+Jth2cfxZeAUaDHYba9qHyKwL4zmCvajJKhfg/uHdKAkiZy5qPfGyZ66ODkVhUMjVYjbPn0rHjWNPSnwekZJ7qbyX3x1q8/dojRXOL672IAO7iC/mw8Fn6AMtfPLaPLRSIzF9Q0d+7/Q57Ulvha9yObuKoChyXSYx2NHoIsedu9fgFqXzOvgysc2KbNZPuyKpPTtFxsyPAM3ZUD8aFVuP+CR57HqBh0T4ggUe3pL1fRxZv3ov3s75EqvJ+FBywgcI6aFeXQPW7uJyQYHFM+McOG7nmFyMYTKRIHdtFNtIb7veLwJXTp73vkKTzmtR/W09pD5oRzTHTnVxVW+cr9ZApa2s2cKIWeAGrmiJv7YClweOzhuUex6yXza9ImL9YFejicCBzc+fvOowch4sF3nwrzTrufNJqcstdqMPph/JuR9mWhm9iMk6780VI6dfU2BeKdwkJGoIGLGOz79KzZ2HW0/vBl8kf0yB87xN91DvXrxQB2cIX82Xjfrzik1I08UZ/sOHmVnv3K9cD35H3TjUX9uJRV4GoWSE/j3YxqB2EISNO6IWKUOcxSrLGVtWt3wsyPiWSeeR+Axi5ljKb4xQFFtrer5LLbleF1xy79TdVHLY+s50lsoc6YFXTw/E3qVCcfdarjPTN7+uaT1O237aotZLvvOnVd/XlOxypU5Cnf3j5fA9Vli80KnujxhL++XZ6q5U8f2YVO+cQiDpgf5omyvFsNyunw8SuShmZsOaWS7opmcWGjn34s6Vqd8rglDbE0dijc102+WUNbj1+1zGsLIxAfMmY8guxB46z4iNPXqdEXqxRW63rVCgk+ZE/7Vn9u6x9flUYsodPX7tDg54rQm2E5De/NYFZwZ0UJVN+1Ri+nwxf+jpZY661tCGAg7MWKdHKgxsntcFidzmZht4+6Y1bQgfM3Xfe2h/uZ2zVydJnt3x87xGwfcbWeGMAOrpw/G29xxDlq9Wu44omE3r1+7ONOU+UeZ4d4QPCDnr9xNxo/aFxVgcMS4esbX+EovtgP4BXM13eeShr48a2yVLuQK2krLhTMseao5Sr5DJROI14oruKYuehHxdPahCmqLqcKDLEyQxcrDk8UFsXQ+4MYAYx2IwnbSAnirGkIVGWBilmdu/MMtZu0RcUnwpMCongzhSncBj1bhN6qFGVwnL9+h8o/Oor/8/3KVDzr46Qff/K/menDbh2O8UasO3hHs6VNTizGwR5P97aZqQIfTIuDqJLlPo4bd+4rTmY8f8wYsvr1/GFnxOWMa9xVIe1Qr9ldH3+u47j55IkT0K6B9SPDiTju3GwYjz9jsHotPlzxAWukSmq1XZ6zGXnljv/dSqAAbFwsM33dvLTVrgJSnxMvQb0H9Tozse2eOobHv2D/+epjD8XXfaKfbJgJM/M2UX/skICAF8KNiAHs4OL4s/EgcVrzE5cHzt27xYaHr69RZEnjptVjBp/5cjXtPHWN4poKHDCAYQueXKOjQt1g+aN9ZeU1iEsFCT0QosBxN4r+UtSTGPECTZEkoaNT43ALdALO0kbFMkfrj+nmkJSCB7S3wh9eUC8b83JJqvLxUkWr5m/M6phF+xXriVW6Oz5WbPH/xu/AZ6NixHXSe/bQWT2e93dB9NhrxEl/9WppKjd8sXphDnm+KL1RMUeMLjhcBUeqCA+y+3L2d+z80Y52wNQCxhazhU8TejYsSG2ruxguvJVeM3eqfAZOfDx+6RZVG7VMVV/UuRrl8yEiY3Y8TtRjBgh35hROfg22yIOZOfK9655rYuZaX3WYRtFIvRFtvPDtWtp87Aq1rpabetugAfN3rLge/WMcKJ5Cp8z2odNY4hpf72IOifPX6PbHDjE7r7haTwxgB1fOn40Hg69Q//l0/+H/Yhgf8O5CY909yU2fin7cNuO9MCqTI22keMHQ54vS6x5epA5CEZCmzST77DlzncCb6O+DKiADttkIYmZx5IYkSBQWFOAYbn8SIqwMiZONcI0nFSTO+McpBRLkvFFe1Ri1jI5euhW5XzlJ0czLz9d42XB4psRTShnNbGEDCuEPCIPgojOo7B4U9YHBCTuePgLM9mm2HlPhcf0qeZ+k1QcvKo5beJ4eTx7TqNR5mzf2rk0ZUsfkDTfbvz/12Hg3K2ms98XqaN74mfW67JXkkwddDMUpbmx/cOFrmWLP3dAdMGsX/bLuGGGtJ7aqEIiuAtaGlXWx0ik7cZqUykKfGkiMI/797PU75H5iY6U/f+viQxj5AXgff/FqqWgnc1baBifyqz+sj7ykbuGM9MObZdXf8c7fdPSKChNLlTQR8fPNX++7P3aIlbnFxbpiADu4av5uPPaKdK2bnzrUzqdGevrqbar0KBTA1zE4jrBrjV5B8CS/GZZDsSHk6zNXKRDZ5RN0ECpTTbPh5O650y/WZTYROmKGh9RU50GuhCSzckMXK5lb9oqxN+a5kk8FhEHBaEobDl+iV8auV7Q/m/vViUG5pnPQegsPwIujcP/5at/hQY8Hfo/p22la+Ekl5ftTi3JGw/D6OxvWVhNT2LMCIYVVH9ZSFG44mmw9YTMt3nOOILG7fUC9SE8qH897Ule0PXgPFwKrogMWqFMOeE85/ARVvfEW4zedV5U/dgM5LrNtcfKpHU8dnzZAyhphEL4KH4nzfQCcEPePMrNdJSqd/QmzQw5qPT75YAYI7pxDWPJlSEmLYjGExRMYtT5ZTocv/k19GhWid6vlDhhe7l58bw3j5KNAP1dI27g3y1KdwrEX0vbcV6tp+8lr5A+7EKsY8nz1HB8OswCH/49vlSMktyJx2N+TMn/tkIAtegg2JAawg4vi78bjL8DnSz5FnzVzebiYxgkeIXAS+qKE+XTRfvp8yQHlPcqYOqk6dkYxQz7uICy2m+7+23b6bfNJ8hX68cfWU9Rp6jYVQxvqsqhGQLAqGR+ZsifE3weiUb/8Oz6i/th2irI+kZzK5YwZbwyjEV4RyIR6kxbWPfKcRPblkgM0etF+v6jcbt97SIUHzLf1YtS9MDCiRr9Ugn5YdYSQbIMy4JnC1LJyVIJh7dHL6dCFv8ndcHHH8eSVW8pwTZ7YXmiKTuf1W9swpXB3695D1Y2vj1asE4QCUJfZK8yucaDq6aFHnEBope1OU7bSH9tOU+PimVXpnMVJAAAgAElEQVRcpK/SdsJmmr/7LL1YJit98lIJunn3gfpwQPEmHGRlLE7U1RkgxrcoRzULZojshmOD8eG1Y6A56jgnxuipTVZg88Q25M8YzEqM6x/Z8z6oSoUyp/anW7+u5ROOrE8kU7H2dujYOKEPp2Yw6lF2DXJxC3MCKf4NtJNgeULxlx7PXzvEL9BC/GIxgB1cIH83HivQsGoQhso3oZmM2KMX/1YZ7PAocUmc4D+0oXftWKFz8hdqPpL3pcjD3r0c6ZLTiu41/e0yVq/XFa4Qz8xUT/99tyKF5UkXq2Pjzvmh7Y2vGskr8NghQQ0eeXhb+SMFiV4Rg+vbiln1llFvBhQYjP1m7aKJ64+r6mG509GGI5eUl/rp4plVOIUeR8tzZHEMT32AiaDxl6uoUKbUNPeDqmaGEaMOM79kSp2U1veuTT+vOUID/4qgjKmT0KoetXwm+dX/dCXtO3fDY7KircFYvIjXFB/b8J5b/QjgMADEPU94x3cYAItJsLcYXkKwSKC4M3tYnIZj1X3tV13II5ROrZDMmLfPXEcSin9YeZiGzd1DGVIlUe8jb3Hr+seqv7SJ/i4uuM+f/nK1wsPqqRP33W7SZpq78yxBznzjUZfAEE4tcqZLQWWGLlJt4x5CqAUbwjsG1Ded4Otpjv7aIf7iFsrXiwHs4Or4u/GYPgreTHwl4iHBiWzeDA736SCTFC9nHK/eefCQSmV7ImSMJ6vQs6cEJPt4GHp6aDLjQOnsj9PMdpWtdhFS9ZWoyZDFdOPuA6qcNx2tOXhJjS+2XwQ6SHyUifFNalUxBn6cqKZ/tGw+dple+NYlr4q4VvB7Wi0T1h2lfrN2UyqEK/SvF5lRb7YdGMH9Z+0mSB1zAYsCTkfckwtbjN+oRDyQgIZENE+Fjy/x27b+dT3G6hqNjU98GhXLRN80L0MYI/oF9ZqR+hWHx7xUJiuNeqmEUVcB/51PZ8BMgtAsq4UFXsyIA7zx4wYlpsKhUMApV6+5qsvYPib3Nm9+lrszQKD+gXM3qO4jJTx/qfbwMfDruqNKLrhgJv+8pXpoCdhbyuQIXGjJzpPX6JmvXEI6viS8GTfc5zjxjO3Czzt8vC/tVt0y5R4L93SolZd+XXeMrt12qb2mSJKAPpiyTTHazHq/MnWask1RpVXPn55+0fIU7MzfXzvETp9x5RoxgB1cKX83np7csr5XbfWyLz5ooaIZCkZCjoPQ2GqaY1JxMYyeNMkTxWiHX8R6coGtzkLkos5Tt9HvW09FjsaIcSHYw/5l7VEa8Odu8papzB4PeFa/enS0rdON2Y3Z7PDfrSocyB/uWxhOGDteRDBMEMecN0OqGBC6x5x6wpg5tvGbHWMBYwEFG8QB7MRbslIcc+MGcx9g7FU+XqaoCjvXyU8f1HHlK1gpVk5uXv5+nZLn1mONmUc4VJ+LI+buoe9XHiZ3BghgdP3OfSo+cKGCy98QDj5FyJ0+BS3tak6IxNs66Tzb/tBweWof4VPY74hf9+VNNXPqZ2Wf+Vv30s27ip0JuRlWczFwnxQbuFCF7CB0Z1r4CbWPkQyM9vCc5/sXdSBDjcTITGn8S2r11w7xF7NQvl4MYAdXx9+Nh6/DEoNcD8ZJrSoQNNEH/RVBUKPFEWmGVP7dGA5O3ZGmzXABczLNq+WzE5KW4nphHXqeh25IhsLcdG/u4i4Q74huQHJilG4Y4UUASru7FhTc9Lni+oojltC563d9MqGYwQdtwZuII8js6ZJ7vKTvHztVuIQnVUa+gKXJ8Xc78ZJ6rKOdRLafVh+hwbMjFO3hmp61zEw9YHUQalXjEWXj9LZhVNZDvLhRZzAGekzfQU8kT0Rb+9fzWd0Th2yxAQvUSclnr5Sk50tlMeou6L8zAwTHLbvvZ6gq3r7/0LSiobcJvPTdWsUkgLKye02ve9oMAPq9bfdUw1c/zOZRLucT9FvbSh6rcsIsU96ZGbfTdZiHH/0gVt9TfoSnMcB4Brc6Xzd7+2nF/oH5I8cAHnczNIBW5+evHWK1v7hUXwxgB1crEBuPM9DhFRq76rDyEDktg+sgJH41bYYLmGmkcMTUtV4Bv/oLhYsRulJmyCKVaIZilIgV7DFjTbBHr9y6H+PhrVP5uRO+c2KZnVg6nffVjrFoFSOOxfcVVlN26GLlzUIBjy1eZFYKc/maSW711C5T0uHjeO+Qhn7FDFoZN+p+t+IQIfQIoVrbBtSjRAnMCZLo/bAACGLEDw5r6DMunI+RdXEW3CPgzh75QnF6uVw2q1NwvL43BgjuGF5FMPbY8f5zG9du3adSQxaqWHaUYU2KUvMKMXmjzU5W31MHhzWyHGZk1A8rX2LPbu3n+USv+bj1KvQLTEaDn/McfmTUT6B/h0Ib9uD+czctUdfpXMIb+9SmxRHnCSdHekKcWUVLK3MKhB1ipb+4VFcMYAdXKxAbjz1L8IzAyMDDAhmoud3kUB2cRkg1bcQFzLKisckZGWjA+Age7U5uVYEq5X0y0F341V6Xqdto5tZTVDbHEzT9vShPjn6EuqBTNSqQKco7zHG1zcplo49eKG6p/9/CT1D36TsIwg+ICzSrAGepE60yHyt7U1qD4VFisOukBsVO+I2V5FZP89h39gbV/2yl+snfOFIrOCEcq9pIV/jDK2Wz0ccvWltL7mv94UvUbKyLH3XnwHqKB9VbYSlZ3VvG3OjexEKszCnQdXX5bXcGCO6Ln/Nmczs8jXH2jtP0/uStkT8ZKTQazZO98mA2gbBJoAtOOEFfhz3kjVuXPwxC7cN/2qYT1GPGDsXWgGeQmY++mVtOUpdp21W4FXjGtxy/GimuAWyR/Aop70AL2QTCDgn02odKe2IAO7gSgdh4emwhhspqWg4OO6Sb9sUFjONsyOwiEeSr10rR08WjZIRDelIGg0MsWNuJm1WCxOa+dT3GPsfm/HRPTnjfKAUwHje8emB7SJIwQeQw+/2xSyWgeUue8zUfPhYFe8N/W8dMvAs0FlAdQ/ILMtY39qkTo/ktx69Q029cKlEodoRK+OTi7cq5qP8zhS1PQTeyJrxTnqrmS2+5DTsXsOcW1/pKZjJqW6fLW/1hTUW9561UH7WMjl26Rf2eLkwwGFE8/ZtRn8H6XWeA8DY3/sj1J8SJQwp4XmmSJVKGK+4/OyWQ8cTe+ud4bk+nmrpscKg9zw9fuKl49lG8caAj+bzT1K2Ee7pZ+ezEtKScEKzT96EdO84AM+saCDvETD9xsY4YwA6uWiA2np5djgfZki7VVVZ4fC2+uIBv3LmvkgxQQokqzN+1gmE/duVheurxZATVs1ArwB2eHFD3gFP3hTJZ1RCZ4D/3kyloqZtU8tiVh2j43L2kE8GbnRcLYHSsnU/Rfjld5u08Q+9N2qLoiTxxb3OmOo8DHyp7hjQw5RXCNboAhj8veg4D8Pfo2wqeIOtfe+gS2WV/4L50gZ85HatQkafSeB2GJ28ve4V9qWNamVcg63pi83Fvf/jcPeoe9xUP62tMMBYrjHAlUSI5a9a206q6P3LwzKjjfrITSGy+XX5I8W/Dyxzep060MAudW9pfLtxAjhlt4ZmMZx5OZd15w7kvzh1AaNC63rWp/x+7FNe1LmrDJ5q45rvXy1CDopkCPVQKhB0S8EGFSINiADu4EIHYeMv2naeW4zepUYaiVryD8Hls2ldWMGLocGSG4ikhK9hjjU/9MTWVfuzK4gb1CmeksY/kPhkTNiphLO4b2tC0l0pnkEBiaOUghIOcuXabwkYsVUMf37Ic1SwQJWKAf2Nye9DzIRELZWlX82FKugDG2p611IeOncLJYXZikO30p4dd+Mu+oHuwJ79bgSrl8R7mU3boIqWQpcf7clywOwsF9kvnaduU0fFGWE470/T7Gl8MENw4J1ZBDAOnDFZFFnadcnHUokAO+p1fNqkkUTsx9jymD6fvoKnhJ3wKD/kLzt6z16nBZy7pendjPVQkvr3NkakHvXnt9cRYxHbP2XmGQEvaplpu6tWokGr23V/DCbHWeA5u7V/XZ+iPXawDYYfY7TvUrxMD2MEVCsTGQ2INYuxAkA0lnPjs/cVS+eIC/n3rSeo8dbtaUZDx4whQSnAQYNEGeDu29K+rwh2e/nIV7Tp1ndrVyEM9GkRPCtNf2EZH3voMOM4RLwzwIVsVXLCLRsPPVxGO6UFZNMgtGaf1r+G0MOIcgb8XYR+67LOZ/jiJjAUwzFzjqQ5Tw5lRU7Pbh34dh2dlhqR0j5qU0EbyG7cHj1q+PvOUaI+RJwzqgzfuPIimeudNrISP8X1xhwcCC19tMDONJwYIvg4sINVGuZ7zdpgs+LTlyZRJaGPv2tRt+naaueUUVcydlqa0ts7LjHHxvn65bFYa+aIz3NJY90ofLaUz1+7QB7XzUWftRIfvdYg37R3SIOBJeP6u+zfLD9LI+fsIkupre9WO0RyfyOAH1Ll1/yFdveXi/YWICwrvT18MM/6OMxB2iL9jCNXrxQB2cGUCtfHg2UQUV3w3frFUvriA+SXo5MPEwe0Sp5vWabygxgX+SkgVQ87TkzyvnjhmJVyFFcPMKCEGElBmgsiWNpmil9ITVZjRolu9/DQt/CQdv3zLEp2RbkBDAMNu4TGaEZOw2wdfh/UDFR2ou/zxMurjwJEyqKCMmBwK9J2nKPR0ZhH2tr1bNRf1aRwVQ91l2jZlCKL4SwtmFzNmgOjdqCC1rpbHazOQvl6x/4JSCZvW1prRyvRnfErIzgC7ynwYJLepeyztYuDrOhaXKJAxFYEFge8tPu3LmS45LQ9BVU/9XeR+cqNTnrnPXU9kRvjTkj3nqULutISPFydKoOwQJ8YW222KAezgCsjGCzy43riAdWWhn1qUpVoFMwa+c2nRJwINPltJe8/eoGdLPEWV8qSjnjN3qvp/vV+FimWNGdPJnryRLxanl8uao67iPpx+KbtPNPzoZXrxO5d6nR5eA0qkQv3mK8/lt81LK3L7ZfsukFmvGTxg5Ya5BAH6Ni5Erarmtr3Lpmw8rjC3q47HHSOeFGpixbM9TqWze1b/wu9Q0gMDB0R6EMPpbzFLBZa715wYXnYOwXH30PMpBMb23eulqUHRzP4O09L10RggPITP6I3pCYVWQrh0NgXIeCNPQI+f9RS2Y2YSdcasoIPnb1r6mDPTrnsdXe6YjUPcVzVGLVfsIrGlbmg0l9v3HhKeYbj33WP3deO4WJY0tPPUtcjmrJx4GY3BzO9ih3hHSQxgMzvIZh3ZeDaB83GZNy5gTo5DUhVUi+xmPgd+xPGnxU8W7KOvlh2MNmEkoCNxzF1eGJUafb6KIs5cp4618lIXA85meFTwEmn58yZ1TBxsyVtQNZUZukgdYeqePJ3qbWHnajR10wlC4ipkY6EIZ1SiC2D4Jzerx1N6++gwGg9+Z5o5GNLretWmlEkSxriMs/dZttlMu0Z1nvt6DW0/cZXer5mXutX3zOGN+z9vn3mqKUjEQioWheMxdQEcrFnh/i7BFRQz+8xojFZ/x3wwLxQjwwdGX+WPltL5G3cVc4BZNhAoIiL8BfcaWB8eT+76GOGPRbvUanyE//ELxeiVcq4jeycKPgIRv7z79HWqVTAD/dSiHDEvNvpzghs3UPN47qvVtP3kNWpZOScNeKZIZLMT1x+jvn/sonQpEtPol0tQi0d5PAjnQIJsMN9PYod4X20xgAN1J3hoRzaeM+C6cwFf+fueOo7Fi87omNGZEUmrQODAuRvU+IvVdO/hP4QHPeRYXyqbLZKqyh2lNhPCacHuc9SkVBb69JWSHkFEVvurP6xXniguII7fqr3og4X+B1O2qux6Pa5SFwvAi23G5lOK3N6MohnGzS964LVzUL1oVHFW56XLKfsTltB2wmaav/us6n7gM4WpRWUX1RgXJJaBcQAfIu4CJ1bHrNd/86eNtHL/BXqjYg4Cn6+ncuveA4JqGoqeLMeS23qisE5VhfqxoSbGHxOIjd81qL4hx+vohfvoy6UHVf7Cht61TSXDsffbPd536OwIGrf6CEE+HUmZVvhlsZfwoYGPiLFvlKF6RQLPTqCvL3Pk4t/Acw/6MOQPVMufnhBSFaqFJcjdJa6Z1xvSxpC3rvvpSvUMC4REtVUsxA7xjpgYwFZ3k4X6svEsgGWhqjsXMFNqQRgBLw32gFhoUqoGCAEwJty695BypE1umBTFL2hfNEtfLjlAoxftjxwdEq6aV8hO79fKF6ARm2/mj62nqNPUbSpjG4l+qZMmilRB4zhF/egT3jij0ACOaS6V/XH6vV1l84PxUpNjXu0mP8ELWXrwokg2C8xradca0RKQfll7lAb8uZuSJUpAm/vVCVgiIifxIYQGwgieytVb96jk4EXqJ10FkBlHcPyPMACU+bvOUNuJW6LtHXi0g1kiGSCyPU6z2huv78krt6jqo6RnT7Hz7mOHUYVQBRT3Y3hdecyqgA7CKkoMclFKWpH7tYstuNsRKw3vN2LYd5x0hQxMfKcCVckXWsI/+hz1pFycdCVL7OI6ZwW71ytmp6HPF6PFEeeo3aQt1K5mHupUx3nqRn2MYod435ViANu9Y01cJxvPBEg2quhcwHjo1/10BZ24fNt03KWNLuUSBxBgQypj6iS0oXdMgQl4oUA2jyRQcJsOfKYIPRGAWFO7U8FJA8IgwPLAtF+8F/noFh5rSEObNRye+XK1Cu2we0ztPhc20pH8tK1/PY+hJ77mrxvwXO/Ht8pS7UJRMfUvf7eONh69TIFmm2DeVIQ1ILzBU9FjW/UwDxZHqV8kI33/Rll1KSdRITSA5YHNfJTY3R+erjPDAOF+HaskmkmG4w8oiLSs6VkrGvc07p9GX6xW7CVWQ1WOXvybakRSSlYnqCA6XZjJgvsplDk1ze1YxZLn2ukxurevUyRObV2RKuROp6qUH7ZYGfO6IinCd/xhSrE7N7FDxAC2u3f8uk42nl/web2YX2yglkmdLJFKvEIB/2XRLN4J9J0ZjbRqFwFkvCPzHWVTnzqUPlX0LGidB3R62zAqmzOt3a4Cdt0L364leNaY0qrpN2uUpCmzD8DogOfs+p0HZBQ7qSfRBCqUQDfA7SSDMpNEjnTJVVY65gpGj4mtKigMz167Q2EfucIfkPTXsFjgkspGLdhLXy87RL684fCQVvl4mRqLLq/NxnPNAulpfEuX8dx+0hbFvYrxrz54Uf1bsD2KiOlFIpeV0CzmyMZ4ffFCQ4Cm4vAl9Pe9h+TOf8wbftKGY9Tn913q1AJtZUid1NS9oN97m/vWoXQOMRTog8EHJvYWmGNQxrxcgpqWdonqhHKpNGIJnb52h3o0KEDtauQlneHGqufdiXmKHeIdVfEAO7HjHrUpG88ZcJkLWG89NhJcnJld/GkVGfKlBi9SMcOfvFRCGZV66T9rF/267phSi1vRvUZIeIK+WnqAPlm4n5InTqD4WrtP30E4Lv6oaTEld4rCghStq+Wm3o8I7z2tqu5tXderFmVOY08Aw71tTi5sUSknDXw2KjHHvR7U1/r8vpPK50pH79Vw0XOxoMSbYTmoQq501H6yK4QACX75M6YiFmzA/CHLzUe+gdi1ZqR39bheXWxk8F8R9NOaI9GktZnFAGqBSE60aoj6OycrDBB6X6DGKjt0MUEqFwIK71bzzAzCTBzw9sP7myFVTOMWY6gwfIlqCzhAPdFMWbr3HL39c7iqenBYw6B5LvlDBpzYK3vUVCwjoV7en7yFZu84Q0y/ufnYZXrhWxdjzMY+tT2uSzDnJHaIGMDB3G+RfcnGcwZ2XTkLR3/Isq2az5UNLiVuIcAJPI2LZaavm5eOHDxiAisMX6ykRt0J8mNzhjjyhIGJcelFj5PsOm07zdhykuoUykDj3irndbgsA4u45kDGpo6Yt4e+X3GY8qRPQUu61vDYP/AFkwOUqVCQqIMEnfLDlqi/w3tcLV96JcID7xZCPEDT1mP6Dgo/dkVRbXGsbaDWgz9skyb6jwrf8KSGpqvP6awKLNvLUsJ3HzxUyXJI4oKwBuSIF+85R8+XfIo+a+Y5vjhQ8+B2dAYIGKhZLCj8dZm6jWZuPUXuyVXcNk4aYOAfuvC3oh30FjON+vwhCaMSmJk5hue1QDIeRIWCVeDVxt6tVyQjFc/6eLC69asfph9UXvZetWjpnvOKjhDYbetfN9Y/3MUOEQPYrw1u92LZeHaR830dYqm6TNtOeFH2bFjIMNHImVFIq4FA4KfVR2jw7AjFXYv4zESP1MQW7j5LrSdsVl0s71YjpERgQF2GhBad21OPLeVYRiMCf5ZBdTf+/cV1zcGL1HzcBtWMN8OLs9e5L8R4Ig4ZogRgpNg2oK5KbmOVOvcxGam12ZkDwivA5oLy/RtlqL4H5gGd71v3ro1ZtJ++WHIg0mBE3CvU+1BAi/j71lPq93wZUtKiLtXtDM/yNVYZIPQOlu09ryj/UHD6kSNdCvVnPPvWHLqkDHrQn6HoyYCeBrn/3A2q9+lKn7i6X8fy3kZ72DIo/8IL4F2vMGyxCkUB+wrEXECF6Cu5N5gwiB3iHW0JgXBwJ8rGcxBcafpfgYCebAMvZMVHSSTvTdxM83adNc2nG2wwcEwNw33yhuMxPK268TKzXSWPYhIuAYzFdPHmPb8FMNznjrGVHLxQxVJ6ikOeu/OMMuBREDML4Q4UyAXfuPsgWswvWCEQFwyDi73e4AUO71vHFEWX1XXhmGpv1Hj68TK8a8z4wh8dBTNBTaxaJL0cmGEiBjdQ3t82EzYrrlz83ZN32epYjeoPn7uHxq48TCVMMkDo7cFDX374YsU7zZR2W45fIdwX567fjaxaPldaQvKVEcUZJy7CoAXlYCkvAidoGPdk/c9WKlpJX5R0RvOPT7+zmh2UInOmS0GrDlykV8tnoxFNi8c6DGKHiAEcK5tQNl6swC6dxjEEWAGsTfXc1KthIZVEAuMQscFDny9Kr1fMEbIzijh9nTKlSRrtFALH7jAgQFEFRbzJ71aMMf7jl25RtVGuZC4IZkA4I5CFZXXdvctIasNv8Foh2Wxq6zB1RD5l04nI7j3FncIQXnvoEq3af4Gq5k8fKUARyDGjrR9WHqZhc/eoEwHEGLvHgK49dJFe+8Hl3Y4YXD+Sgo2vY55V9mAWzZKaZneoSrrgCOjIYJQ6XZgBwq6SWc8ZO9S6wKiHR7zJN2uVdxEF83quRBZqVj4bpUqayHAqy/edjxRjAI824sO71SsQgyUEH2av/7iB1hy8RE+mTExLutSgNMmN2zccwL+8gn4ywawj/Z4u7JUDPZhwiB0iBrDl/bZ//37q2LEjrVq1ilKkSEGvvvoqffTRR5QsmflEFdl4lmGXC+IhApzAlD9jSlrYuTp9OH0HTQ0/oY7iccwdF3md9Uz+Sa0qUOW8UVymMJA7/HcLzd15Vhl4Owf6J4DhacuMW3WYhs7Zo36CLDOS8RAGMGzOHiXd+njyRDSnY1UVl4rs+9pjVkQaV4s6V6N8GVPFyk7UDVVPEr46c4ienMWUeohzRUJhq1/Cacne88TCGDo7x/Amxei1Cs4pmzFwzADhK5HNF8h6KAvixM9cu6NU+Sa8U96nB9dbm+sPX1IhLqAVRAFWvRoVVDHE7EHWBSk+b1aSniuZJVb2QVzsVJfdxvgh4AEhj9guYoeIAWxpD169epWKFi1KOXLkoH79+tH58+epS5cu1KBBA5o4caLptmTjmYZKKsZjBFYduEBv/OiiQ4PXZMjsCPXnTnXyBZ00PlDLAIPr2a/WqDhheBv/aFdJGRn49/6zdtOE9cccnSOSiaCgBzUtFMTLM70UWDUQw1v4qdSR02XDp0BGhBBUNTxSDxROntphQ+KVstno4xejHyHrynuHRzSOvFxnLQDTAeZz8kp0+rFmY9fR+sOXicUJnJyDXQYIfUz4UAKDw8WbrpAHyOeOb1HOL6MK4TFfLj2gEs3wIYSCxMGwPE8SEgenbTqhQl3Axfxzy3Kxug+cXB8n2mbKOW47kMwu/oxX7BAxgC3tn48//pgGDx5Mx44doyefdHluJk+eTM2bN6eIiAgqVKiQqfZk45mCSSrFcwTw4gUdGhTkuJTO/jhNaxNmKmM9VOHTj51BkwZif8Q1I7EMpVk5xAgWc8zIQNjCD6sO02eLDxBiSlHATDH65ZIqQ9294BgX4RzufMzBxpfjeSEnDX5onbVgzo4zipoNsb37hjaMHNo///yPOk7Zquio9AIjrkaBDOqf+KQBIQXgDDfDhmB37mDXAB0eilUGCL1PFrrAv+lUe3bHxdcdPH+DBv0VoWJV3Qs+lhZ1rk7Z0ib3t5t4dT0+OvHBgucYPPU42TGKzQ4GQGKHeEdZkuA8YFO9enV6/PHHadasWZG/3r17l9KkSUPDhg2jrl27mtq3svFMwSSVBAFiRgRAgZfH3I5VKXu6uP0Chrf3le/XK9U091KvcEalJuekEcZ9gjsXlGsQiUFS038QpBjC5dCFm1R7tEve111I4PetJ6nz1O0qRhjSs3qBdxPsF4hz5qJ74RbsPqsS4VBAh4YPAXhVzRQYN1CbhEBIiiQJPV6CDw4kGC7de14ZlojXTZE4Ae0aVN+2IQTu4m7TtlPdwhnp7Sq5zAzVdB3sz8V7ztOPqw8TRFmSJExASRMnoNfKZ6cGRTOZbkcqRiHQa+YO+u/GE2RGxS9YuIkdIgawpb2WIUMGevvtt1XMr16KFClCYWFhNG7cOFPtycYzBZNUEgTovxuPq/hEFE+iGHEVImTuv/L9Orr/0HXcjAJjBhy6wWAiiKu41ft0Be0/d1Mdz5fO/gTBuIUxuPv0dRULiwSt8L51Y0zv0s27Klns+OVblDppQsVhy1449/ATCK+MfKG4xw8CJGLCYJ6/+6ySEkafKDC8kUCG/1gdDe0ujDhH4CLm+FoemKcwjri6JjJuYwSu37lP41YeVgqJOPEJhSJ2iBjAlvZhokSJaLReR8QAABXuSURBVMiQIdSzZ89o11WpUoVgHM+cOdNje9evXyf8x+XMmTNUvnx5OnHiBGXNGvqSjpZAksqCQAARgAeqx4wdilIMwhehcHQYqOkhhvPmnQfKcwjvdiDV0wI1xlBrh3l9vY2rAui/2oR5/BlGKHiO8aHRvEJ0BhGESvT5Y5f64EJBEmC6lIkpddJEBEU1lNv3Hyovsv7R4t4RwgQKZEpNSRP+h27ceUARZ6Ke+2G50ylVsOoF0hNiqv9NeznU9omMxxgBMYDFADbeJVoNGMBDhw6lDz/8MNp1lStXpkyZMtGMGTM8tjdw4EAaNGhQjN/EALYEv1QWBASBeI4Awge6/7adLt+6p8RREPMLqV/QnIFnFQamt1AEI+hgBPecuYOmhZ/0WRUGMZLBwE0NGegMqZPQ9PCTNGnDcWUkuxcce/dpXCgoFGtGc5TfBQFGQAxgMYAt3Q12QyDEA2wJZqksCAgCgkCsIAAjePn+83T4wt90/fZ9un7nAT34x5Uo+Bg9pnh2GxTJ7JEDF7Rxs7adokt/31OhGfAUg+8ZHmfx9sbKckqnPhAQA1gMYEs3iCTBWYJLKgsCgoAgIAgIAoJACCIgBrAYwJa2JWjQEAMMGrR06dKpa6dMmaLEMIQGzRKUUlkQEAQEAUFAEBAEYgkBMYDFALa09VgII2fOnNGEMOrXry9CGJaQlMqCgCAgCAgCgoAgEFsIiAEsBrDlvQcp5A4dOtDq1aspefLkyvsLz7BIIVuGUi4QBAQBQUAQEAQEgVhAQAxgMYBjYdsRycaLFdilU0FAEBAEBAFBQBAgsUN8bQJRgnPwFhED2EFwpWlBQBAQBAQBQUAQ8ImA2CHiAY6VW0Q2XqzALp0KAoKAICAICAKCgHiAfe4B8QA7eIuIAewguNK0ICAICAKCgCAgCIgH2OYeEAPYJnBmLhMD2AxKUkcQEAQEAUFAEBAEnEBA7BDvqIoB7MSOe9SmbDwHwZWmBQFBQBAQBAQBQUA8wDb3gBjANoEzc5kYwGZQkjqCgCAgCAgCgoAg4AQCYoeIB9iJfWXYpmw8Q4ikgiAgCAgCgoAgIAg4hIDYIWIAO7S1fDcrGy9WYJdOBQFBQBAQBAQBQUBYIHzuAQmBcPAWEQPYQXClaUFAEBAEBAFBQBDwiYDYIeIBjpVbRDZerMAunQoCgoAgIAgIAoKAeIDFAxxbd4EYwLGFvPQrCAgCgoAgIAgIAmKHiAc4Vu6Co0ePUq5cuWjjxo2UOXPmWBmDdCoICAKCgCAgCAgC8ROBM2fOUPny5enIkSOUM2fO+AmCl1lLDLCD22HZsmVUq1YtB3uQpgUBQUAQEAQEAUFAEPCNwNKlS6lmzZoCk4aAGMAOboeDBw9Svnz5aO3atZQtWzYqUaIEbd++PaA9Spvbib9wA+FpFzzN7U+zmAue5vD09lBwx1nw9A9Pd5w94Wl2b3tbM1kj62vkC3PB0zqe+t48ceIEVapUiQ4cOEB58+YNqP0R1xsTA9jBFXSPvcmQIQOdP38+oD1Km+cpkDFOgqe5/WkWc8HTHJ7eHgryDIlCJlh7yeze9rZmwRqnvy+SUBqnL8xDaZy+MA/Vcfq7n/3dZ6F8vRjADq6O+8YbNWoUde/ePaA9SpvdA2oAC57m9qfZh6rgaQ5Pswaw4Okfnu44e8LT7N72tmayRtbXyBfmgqd1PPW96e9+DqjBEmKNiQHs4ILIxnMQXK1pwTk4OMtDVXAOPgLB71GeJ4J58BFwrkfZz96xFQPYuX1H169fpzFjxlCXLl0oderUDvYUv5sWnIO//oJ5cDAXnIODs96LYC6YBx8B53qU/SwGsHO7S1oWBAQBQUAQEAQEAUFAEIhTCIgHOE4tlwxWEBAEBAFBQBAQBAQBQcBfBMQA9hdBuV4QEAQEAUFAEBAEBAFBIE4hIAZwnFouGawgIAgIAoKAICAICAKCgL8IiAHsL4JyvSAgCAgCgoAgIAgIAoJAnEJADGA/lqt06dK0detWguRxjRo1/GhJLmUEBg4cSIMGDaKnnnqKoGDzn//8Jxo4jRo1onnz5lHjxo1p9uzZAlyAEQD+n3zyCd28eTPALUtz3hCwg/nPP/9MLVu2pAsXLtCTTz4p4JpAQJ7XJkAKUJVJkybR559/Tvv27aP//e9/lCVLFqpcuTINHz6cIBghRRAIBQTEALa5Cnv37qVChQqpq1u1akU//PCDzZbkMh0BGAN4SD722GPK0K1Vq1bkzxcvXqTMmTNT0qRJqXr16mIAO7B17BhjDgwjXjVpB3MxgK1tEXleW8PLn9offfQR9e7dmzp37kx169ZVBvCuXbsIRjH2bcmSJf1pXq4VBAKGgBjANqHs168fjRgxQnl+N2/eTOfOnaPEiRPbbC3qstu3b1OyZMn8bieuNsDGQJ06dZRna9y4cZFT+eabb+jjjz+mnDlzUqpUqcQAdmCR7RhjDgwjXjVpB3MxgK1tEaee19ZGET9qw9tbv359+umnn2JM+J9//olxqhc/UJFZhiICYgDbXJU8efIQ/uvUqZM6jv/999/p+eefV60dPXqUcuXKpb52V65cSdOnT6cECRJQixYtaOTIkZQwYUJVj19ia9eupf79+xP+jzpff/21zVHF/cvYGMDDs02bNtE+LKpUqaKO0TZs2EApU6ZUBvCZM2eoT58+tHz5cvXnrFmz0ksvvUQDBgygJEmSKECaNm1K58+fp9WrV0cDaOzYsdShQwc6deqUHCM/QkY3xoBpzZo1adOmTVS2bNlI7J5++mkVIoHfUfga7N927drRli1bKHfu3DR69Gj1IpTiGwE7mIsBbG1X+Xpem93n6BHP+Z49e9KxY8eoePHihI9yOEG6deum7gMpRClSpFDvxWHDhhnCgX0Msaj9+/dTunTp1PsPIXDu78h169Ypr/L69etVCAXel2+//bZh+1JBEPCFgBjANvYHbsKwsDD1hfvGG2+oY3k8BH/77bdoBjDiWOvVq0fNmjVTRgFu2q5duxKOiHQDGMZy69atqUKFCsr7W7FiRRuj+ndcwsYAYhszZsxIEyZMoOeee069cIATYq4/+OCDSAN4586d9MsvvxCM4yeeeEI9SNGG7oGYP38+NWzYkHAMWqBAgUiggHO2bNki1+3fgaB/s7BjjOEanIYA244dOypM8ffw8HC1bnixSfGOgB3MxQA2v6OMntdmDWA8e8qVK0fPPPMMvfvuu2pv4yMPuQq9evUSA/jRklSrVo12796tTuvwsZwpUyaPiwXDt0ePHipUAu/JPXv2KGdG+/btY7wjc+TIoRwiiOOeMmWKch4hRK5BgwbmN4LUFATcEBAD2MaWgNcQMb8Ie0iTJo26YWEM4++QPGYPcNWqVZUHmAuO4XDTQ5sbxhq/xOAV7t69u42R/Psu0Y2BN998k+7evUtTp05VBtXEiRPVgxUfG+wBdkfgwYMHNG3aNHrrrbfo2rVrlDx5csKxG4xnfIjgoYyCh23hwoXlIeoGoB1jjBMX58yZQ0hSRDl48CDly5dPfcC8/vrr/76NGsAZ2cFcDGDzC2D0vDZrAL/88svqAxyJXZycy+uAEyfxALvWBPG+TZo0Uc8AFDx78dEAQxfhayg3btxQic5YG+R8cIFHHd50fFTgw5nxxbtz8ODBkfVgZONZj1MnKYKAXQTEALaI3MOHD9WNC4/jjBkz1NW4CXE0P378eHWEwwYwjF3c9Fzw8MQX7IoVKwg3MN/ceGAUKVLE4kj+ndV1Y2DBggXqQYrwBXjcX331VXUMphvASLBAtjHCGY4cOUJ37tyJBAbe4aJFi6q/4+H57bffqgcrjtfwkIWhjLVyZ5r4dyJrblZ2jDFcM2TIEEL8uh4HjxAUHGfiyFiKdwTsYC4GsLkdZeZ5bdYAhiGHMLdPP/00svMrV65Q2rRpVciVGMBRa3Lv3j1avHgxLVy4UL3vtm3bpvI24BBCEhye7fDe4mS0WLFikRfCaEZyOdYEic68z1GvVKlSkfWwBh9++KF65iC8UIogYAcBMYAtosbH6TB2OeYXTeAmLliwIC1atCjSAIbHsnnz5pE9INYUMao4wnnllVcib24YeOnTp7c4kn9ndd0Y4JcXx04fPnxYeRN0AxgPQhizOEpDvCo864hZhVdej12F1x3eh5kzZ6pwCKwDjtR0r8K/E1Frs7JjjHlL4oKXXmIjjfG3g7kYwMa4ooaZ57VZAxjsMwhjw0e4XvDRh38TA9j7msDgRa7Ms88+q57BYITwdTLEJ0e8z/H8RnIdF77+7NmzKlROiiBgBwExgC2ihphfGLaeCjyJMHLhhYShZtYDLFyeUWi6G1M4IsOxGOKj+bhLN4ArVaqkHoBITuGCmGAYzZ6St+D9RXjECy+8QIcOHVLrJMUz/hw7uWbNGgLOXPBnvPTdk+DcuYPFADa3s/Q9bxZzMYDNYWvmeY1TIJwwGe1z8QCbw9xbrTJlytCtW7dU+BnidxEuBWMYOQPuBVjrIRDiAfYPe7naMwJiAFvYGbh5YWyBoguJWHqBEYsYMXgk4RnGDWw2BlgMYO8GMI7OYCDAW/Diiy+qiroBjGOx/PnzqzhhLkiogCfe3QCeNWuWagOJLIgNxhGdlOgI6MYYvC54OYGK7p133lEVcVoBhgewQogBHJjdYwdzMYCNsTf7vMYzwcw+9xQDjJNAsBFICETUeiAXxt0ri1AFJLIh1A/CUcjPQCghEsLh5PBWfMUA379/n8AOIUUQsIuAGMAWkEPoAuJQly5dqo7b3Uv58uUV6TfYIGAAu7NA4CEJehgkvaHISywm+GY4UXUDGKEPiAFGNjYMYRyNrVq1SsUDuxvASJrInj27okubPHmyWkspMQ1gYIkkFRQwZZw+fVqdZiDWDi8sGMZIcBMDODC7B3veKuby7DDG3uzzGs8JM/tcZ4EAaw88x8wCAfYChEdIIUVThqQ3MPGAIQnPjy+//FKd4MHjy6GDwK5v376KOQbvU5ygIswNjgrk18BJwfvcEwuEnnQruAsCdhAQA9gCaripd+zYoR58UCpzL+Dvff/991WWMCih4B2AkYCbHsYDjt5HjRpFiRIlEgPYC+5WDWAcu8ODgIcmCrw5iDPDWrkbwPgdcb/4QMFDGTF9UqIjgMSSH3/8kaC6h4IwEVA+bdy4Ub3Mhg4dqpgdPPEASwiEvd1kB3MxgI2xtvK8xvPZaJ+jRzzLQXkGCjQk2H722WfqRArGnPupoPEI/501ELL2119/EZKQ+XQTnMmcp6HPGh8p+LhGIjjei+BrBnUaPiYQrqZz5QN3cMDDwIbhjPWSIgj4g4AYwP6g5+VaZoGAocXH9g50I01aRAB0aPyAhUdCSkwEIBqClzvUDaUEBwHBPDg4O9ELwqgg98usBU70EZ/blA+9+Lz6zs9dDGAHMBYD2AFQ/WgSlDzbt29Xinzw1IBLWBfE8KPpf82liLUGXRG8NPDCw9sixVkEBHNn8XWidSgd1q5dWyVo4TkC+j+EukH0RegUA4+4GMCBx1RajEJADGAHdoMYwA6A6keTvB6gmgPtWdu2bf1o7d95KfipL1++rOKi8VJnKdJ/52xDY1aCeWisg5VRvPbaa8rbixAhiCCBy/aTTz4RKi4rIFqoKwawBbCkqmUExAC2DJlcIAgIAoKAICAICAKCgCAQlxEQAzgur56MXRAQBAQBQUAQEAQEAUHAMgJiAHuBDAlsoNRCMhCOhpE89d577ykWAT3Wa+7cuQQKHJB7Q12sS5cuhDgxvSArFvWQwYqjM0/JcWAs+O6775RUJMQ0EFf23HPPKX7J1KlTW15YuUAQEAQEAUFAEBAEBAFBwDMCYgB72RnghQT3YJMmTVR8F8i7R4wYoXh8QWWGAhLuatWq0ZtvvqmEGqAkBIP1+++/p1atWkW2jLZQkHj166+/ejSAIRkLFSgoF6He/v37qV+/fopPGPyJkmAht7AgIAgIAoKAICAICAKBQUAMYC84gr8QSVN6gXf322+/patXr1KSJEmoYcOGyjsMzy4XEKTPnj1biQWw0Qr6LfzZV3Kcp/7+/PNP5QUWip3AbHZpRRAQBAQBQUAQEAQEASAgBrCFfQABAHh7IaKQNm1aFZoAZazOnTtHtgIqKRCjgxYH2ud6scoOceLECaVcJqplFhZJqgoCgoAgIAgIAoKAIGCAgBjAFrYIvLuQaDx//rxSe4Ou+bx58xQVDhd4cqFUA2MZYRH+GMAwfJs3b06Q4CxZsqSFkUpVQUAQEAQEAUFAEBAEBAFvCIgBbHJvwKMbFhamYnwhw4h43ypVqqg4YI7xRVMPHjxQko6ff/650ji3awAjzKJUqVIq+Q5qQ1IEAUFAEBAEBAFBQBAQBAKDgBjAJnA8e/YsVahQQbE8IB4XBi4bwEhcw29c2AD+4osvqEOHDrYM4IcPH9Kzzz5LYIbAf0jGkyIICAKCgCAgCAgCgoAgEBgExAA2wPHatWsqpvfOnTu0evVqJYGJEhER4VgIxDvvvENTp05VzBPlypULzEpLK4KAICAICAKCgCAgCAgCCgExgH1sBBi99evXpwMHDqhQB90Te/fuXUeS4Hr06EGffvopzZo1ixo1aiTbVBAQBAQBQUAQEAQEAUEgwAiIAewFUIQyNG3aVAlT4L/ixYvHqAkaNMTqwjjm0rZtWwJ9mU6Dxr8ZsUCMHDmSevbsSePHj6e33norwEstzQkCgoAgIAgIAoKAICAIiAfYxx6A4tvYsWMJRmnVqlWj1SxcuLDy/rIQRosWLRRbA+KC+/fvH0MIAwl0MH7BEAGVuK5du6rEOfAMV69eXbXNjA/NmjWjDz74IFp/iD3Gf1IEAUFAEBAEBAFBQBAQBPxHQDzAXjDMmTMnHTt2zOOviM1FXDAKJI579+4dTQq5ffv20a6DgfzLL7/EaAvGL5LqULzVwW9gnhg4cKD/qy0tCAKCgCAgCAgCgoAgIAhIDLDsAUFAEBAEBAFBQBAQBASB+IWAeIDj13rLbAUBQUAQEAQEAUFAEIj3CIgBHO+3gAAgCAgCgoAgIAgIAoJA/EJADOD4td4yW0FAEBAEBAFBQBAQBOI9AmIAx/stIAAIAoKAICAICAKCgCAQvxAQAzh+rbfMVhAQBAQBQUAQEAQEgXiPgBjA8X4LCACCgCAgCAgCgoAgIAjELwTEAI5f6y2zFQQEAUFAEBAEBAFBIN4jIAZwvN8CAoAgIAgIAoKAICAICALxCwExgOPXestsBQFBQBAQBAQBQUAQiPcIiAEc77eAACAICAKCgCAgCAgCgkD8QkAM4Pi13jJbQUAQEAQEAUFAEBAE4j0CYgDH+y0gAAgCgoAgIAgIAoKAIBC/EBADOH6tt8xWEBAEBAFBQBAQBASBeI+AGMDxfgsIAIKAICAICAKCgCAgCMQvBMQAjl/rLbMVBAQBQUAQEAQEAUEg3iMgBnC83wICgCAgCAgCgoAgIAgIAvELATGA49d6y2wFAUFAEBAEBAFBQBCI9wj8H6cb9hRzz/JiAAAAAElFTkSuQmCC\" width=\"639.9999861283738\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "ts1.plot()\n",
+ "ylabel('Number of valid pixels in MODIS grid')\n",
+ "savefig(str(year)+'_valid_pixel.png')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 341,
+ "id": "cc75f441",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "2240.448087431694"
+ ]
+ },
+ "execution_count": 341,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ts1.mean()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 291,
+ "id": "bf395ce2",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "lonM,latM=meshgrid(array(xa_mod.lon),array(xa_mod.lat))\n",
+ "tit=xa_mod.TIT[22,:,:].T #Select index 22, 37 -> 2012-04-22 and 2012-05-08\n",
+ "# 23 -> 2010-04-24 "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 221,
+ "id": "f349676a",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%matplotlib notebook\n",
+ "\n",
+ "import xarray as xr\n",
+ "import pandas as pd\n",
+ "from pylab import *\n",
+ "import scipy.stats as stats\n",
+ "import scipy.ndimage as ndi\n",
+ "import os.path\n",
+ "\n",
+ "import matplotlib.patches as mpatches\n",
+ "import matplotlib.lines as mlines\n",
+ "from mpl_toolkits.axes_grid1.inset_locator import inset_axes\n",
+ "from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes\n",
+ "from mpl_toolkits.axes_grid1.inset_locator import mark_inset\n",
+ "\n",
+ "from sklearn.metrics import mean_squared_error\n",
+ "import fnmatch\n",
+ "import cmocean\n",
+ "import cartopy.crs as ccrs\n",
+ "import cartopy\n",
+ "from matplotlib.gridspec import GridSpec\n",
+ "import cartopy.feature as cfeature\n",
+ "import matplotlib.ticker as mticker\n",
+ "import cartopy.crs as ccrs\n",
+ "import matplotlib.path as mpath\n",
+ "\n",
+ "from cartopy.mpl.ticker import (LongitudeFormatter, LatitudeFormatter,\n",
+ " LatitudeLocator)\n",
+ "\n",
+ "import matplotlib.pyplot as plt\n",
+ "import matplotlib as mpl\n",
+ "\n",
+ "land_50m = cfeature.NaturalEarthFeature('physical', 'land', '50m',\n",
+ " edgecolor='face',\n",
+ " facecolor=cfeature.COLORS['land'])\n",
+ "\n",
+ "palette = mpl.cm.get_cmap(\"plasma\").copy()\n",
+ "#palette = cmocean.cm.thermal.copy()\n",
+ "\n",
+ "palette.set_over(\"#ffffff\")\n",
+ "palette.set_bad(\"#a0a0a0\")\n",
+ "palette.set_under(\"#0000f0\")\n",
+ "\n",
+ "\n",
+ "\n",
+ "import pyproj \n",
+ "pol=pyproj.Proj(\"EPSG:3412\") # NSIDC Polar Stereographic South"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 336,
+ "id": "d0b502af",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/javascript": [
+ "/* Put everything inside the global mpl namespace */\n",
+ "/* global mpl */\n",
+ "window.mpl = {};\n",
+ "\n",
+ "mpl.get_websocket_type = function () {\n",
+ " if (typeof WebSocket !== 'undefined') {\n",
+ " return WebSocket;\n",
+ " } else if (typeof MozWebSocket !== 'undefined') {\n",
+ " return MozWebSocket;\n",
+ " } else {\n",
+ " alert(\n",
+ " 'Your browser does not have WebSocket support. ' +\n",
+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+ " 'Firefox 4 and 5 are also supported but you ' +\n",
+ " 'have to enable WebSockets in about:config.'\n",
+ " );\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
+ " this.id = figure_id;\n",
+ "\n",
+ " this.ws = websocket;\n",
+ "\n",
+ " this.supports_binary = this.ws.binaryType !== undefined;\n",
+ "\n",
+ " if (!this.supports_binary) {\n",
+ " var warnings = document.getElementById('mpl-warnings');\n",
+ " if (warnings) {\n",
+ " warnings.style.display = 'block';\n",
+ " warnings.textContent =\n",
+ " 'This browser does not support binary websocket messages. ' +\n",
+ " 'Performance may be slow.';\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " this.imageObj = new Image();\n",
+ "\n",
+ " this.context = undefined;\n",
+ " this.message = undefined;\n",
+ " this.canvas = undefined;\n",
+ " this.rubberband_canvas = undefined;\n",
+ " this.rubberband_context = undefined;\n",
+ " this.format_dropdown = undefined;\n",
+ "\n",
+ " this.image_mode = 'full';\n",
+ "\n",
+ " this.root = document.createElement('div');\n",
+ " this.root.setAttribute('style', 'display: inline-block');\n",
+ " this._root_extra_style(this.root);\n",
+ "\n",
+ " parent_element.appendChild(this.root);\n",
+ "\n",
+ " this._init_header(this);\n",
+ " this._init_canvas(this);\n",
+ " this._init_toolbar(this);\n",
+ "\n",
+ " var fig = this;\n",
+ "\n",
+ " this.waiting = false;\n",
+ "\n",
+ " this.ws.onopen = function () {\n",
+ " fig.send_message('supports_binary', { value: fig.supports_binary });\n",
+ " fig.send_message('send_image_mode', {});\n",
+ " if (fig.ratio !== 1) {\n",
+ " fig.send_message('set_device_pixel_ratio', {\n",
+ " device_pixel_ratio: fig.ratio,\n",
+ " });\n",
+ " }\n",
+ " fig.send_message('refresh', {});\n",
+ " };\n",
+ "\n",
+ " this.imageObj.onload = function () {\n",
+ " if (fig.image_mode === 'full') {\n",
+ " // Full images could contain transparency (where diff images\n",
+ " // almost always do), so we need to clear the canvas so that\n",
+ " // there is no ghosting.\n",
+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+ " }\n",
+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
+ " };\n",
+ "\n",
+ " this.imageObj.onunload = function () {\n",
+ " fig.ws.close();\n",
+ " };\n",
+ "\n",
+ " this.ws.onmessage = this._make_on_message_function(this);\n",
+ "\n",
+ " this.ondownload = ondownload;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._init_header = function () {\n",
+ " var titlebar = document.createElement('div');\n",
+ " titlebar.classList =\n",
+ " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
+ " var titletext = document.createElement('div');\n",
+ " titletext.classList = 'ui-dialog-title';\n",
+ " titletext.setAttribute(\n",
+ " 'style',\n",
+ " 'width: 100%; text-align: center; padding: 3px;'\n",
+ " );\n",
+ " titlebar.appendChild(titletext);\n",
+ " this.root.appendChild(titlebar);\n",
+ " this.header = titletext;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
+ "\n",
+ "mpl.figure.prototype._init_canvas = function () {\n",
+ " var fig = this;\n",
+ "\n",
+ " var canvas_div = (this.canvas_div = document.createElement('div'));\n",
+ " canvas_div.setAttribute('tabindex', '0');\n",
+ " canvas_div.setAttribute(\n",
+ " 'style',\n",
+ " 'border: 1px solid #ddd;' +\n",
+ " 'box-sizing: content-box;' +\n",
+ " 'clear: both;' +\n",
+ " 'min-height: 1px;' +\n",
+ " 'min-width: 1px;' +\n",
+ " 'outline: 0;' +\n",
+ " 'overflow: hidden;' +\n",
+ " 'position: relative;' +\n",
+ " 'resize: both;' +\n",
+ " 'z-index: 2;'\n",
+ " );\n",
+ "\n",
+ " function on_keyboard_event_closure(name) {\n",
+ " return function (event) {\n",
+ " return fig.key_event(event, name);\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " canvas_div.addEventListener(\n",
+ " 'keydown',\n",
+ " on_keyboard_event_closure('key_press')\n",
+ " );\n",
+ " canvas_div.addEventListener(\n",
+ " 'keyup',\n",
+ " on_keyboard_event_closure('key_release')\n",
+ " );\n",
+ "\n",
+ " this._canvas_extra_style(canvas_div);\n",
+ " this.root.appendChild(canvas_div);\n",
+ "\n",
+ " var canvas = (this.canvas = document.createElement('canvas'));\n",
+ " canvas.classList.add('mpl-canvas');\n",
+ " canvas.setAttribute(\n",
+ " 'style',\n",
+ " 'box-sizing: content-box;' +\n",
+ " 'pointer-events: none;' +\n",
+ " 'position: relative;' +\n",
+ " 'z-index: 0;'\n",
+ " );\n",
+ "\n",
+ " this.context = canvas.getContext('2d');\n",
+ "\n",
+ " var backingStore =\n",
+ " this.context.backingStorePixelRatio ||\n",
+ " this.context.webkitBackingStorePixelRatio ||\n",
+ " this.context.mozBackingStorePixelRatio ||\n",
+ " this.context.msBackingStorePixelRatio ||\n",
+ " this.context.oBackingStorePixelRatio ||\n",
+ " this.context.backingStorePixelRatio ||\n",
+ " 1;\n",
+ "\n",
+ " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+ "\n",
+ " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
+ " 'canvas'\n",
+ " ));\n",
+ " rubberband_canvas.setAttribute(\n",
+ " 'style',\n",
+ " 'box-sizing: content-box;' +\n",
+ " 'left: 0;' +\n",
+ " 'pointer-events: none;' +\n",
+ " 'position: absolute;' +\n",
+ " 'top: 0;' +\n",
+ " 'z-index: 1;'\n",
+ " );\n",
+ "\n",
+ " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
+ " if (this.ResizeObserver === undefined) {\n",
+ " if (window.ResizeObserver !== undefined) {\n",
+ " this.ResizeObserver = window.ResizeObserver;\n",
+ " } else {\n",
+ " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
+ " this.ResizeObserver = obs.ResizeObserver;\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
+ " var nentries = entries.length;\n",
+ " for (var i = 0; i < nentries; i++) {\n",
+ " var entry = entries[i];\n",
+ " var width, height;\n",
+ " if (entry.contentBoxSize) {\n",
+ " if (entry.contentBoxSize instanceof Array) {\n",
+ " // Chrome 84 implements new version of spec.\n",
+ " width = entry.contentBoxSize[0].inlineSize;\n",
+ " height = entry.contentBoxSize[0].blockSize;\n",
+ " } else {\n",
+ " // Firefox implements old version of spec.\n",
+ " width = entry.contentBoxSize.inlineSize;\n",
+ " height = entry.contentBoxSize.blockSize;\n",
+ " }\n",
+ " } else {\n",
+ " // Chrome <84 implements even older version of spec.\n",
+ " width = entry.contentRect.width;\n",
+ " height = entry.contentRect.height;\n",
+ " }\n",
+ "\n",
+ " // Keep the size of the canvas and rubber band canvas in sync with\n",
+ " // the canvas container.\n",
+ " if (entry.devicePixelContentBoxSize) {\n",
+ " // Chrome 84 implements new version of spec.\n",
+ " canvas.setAttribute(\n",
+ " 'width',\n",
+ " entry.devicePixelContentBoxSize[0].inlineSize\n",
+ " );\n",
+ " canvas.setAttribute(\n",
+ " 'height',\n",
+ " entry.devicePixelContentBoxSize[0].blockSize\n",
+ " );\n",
+ " } else {\n",
+ " canvas.setAttribute('width', width * fig.ratio);\n",
+ " canvas.setAttribute('height', height * fig.ratio);\n",
+ " }\n",
+ " /* This rescales the canvas back to display pixels, so that it\n",
+ " * appears correct on HiDPI screens. */\n",
+ " canvas.style.width = width + 'px';\n",
+ " canvas.style.height = height + 'px';\n",
+ "\n",
+ " rubberband_canvas.setAttribute('width', width);\n",
+ " rubberband_canvas.setAttribute('height', height);\n",
+ "\n",
+ " // And update the size in Python. We ignore the initial 0/0 size\n",
+ " // that occurs as the element is placed into the DOM, which should\n",
+ " // otherwise not happen due to the minimum size styling.\n",
+ " if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
+ " fig.request_resize(width, height);\n",
+ " }\n",
+ " }\n",
+ " });\n",
+ " this.resizeObserverInstance.observe(canvas_div);\n",
+ "\n",
+ " function on_mouse_event_closure(name) {\n",
+ " /* User Agent sniffing is bad, but WebKit is busted:\n",
+ " * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
+ " * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
+ " * The worst that happens here is that they get an extra browser\n",
+ " * selection when dragging, if this check fails to catch them.\n",
+ " */\n",
+ " var UA = navigator.userAgent;\n",
+ " var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
+ " if(isWebKit) {\n",
+ " return function (event) {\n",
+ " /* This prevents the web browser from automatically changing to\n",
+ " * the text insertion cursor when the button is pressed. We\n",
+ " * want to control all of the cursor setting manually through\n",
+ " * the 'cursor' event from matplotlib */\n",
+ " event.preventDefault()\n",
+ " return fig.mouse_event(event, name);\n",
+ " };\n",
+ " } else {\n",
+ " return function (event) {\n",
+ " return fig.mouse_event(event, name);\n",
+ " };\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " canvas_div.addEventListener(\n",
+ " 'mousedown',\n",
+ " on_mouse_event_closure('button_press')\n",
+ " );\n",
+ " canvas_div.addEventListener(\n",
+ " 'mouseup',\n",
+ " on_mouse_event_closure('button_release')\n",
+ " );\n",
+ " canvas_div.addEventListener(\n",
+ " 'dblclick',\n",
+ " on_mouse_event_closure('dblclick')\n",
+ " );\n",
+ " // Throttle sequential mouse events to 1 every 20ms.\n",
+ " canvas_div.addEventListener(\n",
+ " 'mousemove',\n",
+ " on_mouse_event_closure('motion_notify')\n",
+ " );\n",
+ "\n",
+ " canvas_div.addEventListener(\n",
+ " 'mouseenter',\n",
+ " on_mouse_event_closure('figure_enter')\n",
+ " );\n",
+ " canvas_div.addEventListener(\n",
+ " 'mouseleave',\n",
+ " on_mouse_event_closure('figure_leave')\n",
+ " );\n",
+ "\n",
+ " canvas_div.addEventListener('wheel', function (event) {\n",
+ " if (event.deltaY < 0) {\n",
+ " event.step = 1;\n",
+ " } else {\n",
+ " event.step = -1;\n",
+ " }\n",
+ " on_mouse_event_closure('scroll')(event);\n",
+ " });\n",
+ "\n",
+ " canvas_div.appendChild(canvas);\n",
+ " canvas_div.appendChild(rubberband_canvas);\n",
+ "\n",
+ " this.rubberband_context = rubberband_canvas.getContext('2d');\n",
+ " this.rubberband_context.strokeStyle = '#000000';\n",
+ "\n",
+ " this._resize_canvas = function (width, height, forward) {\n",
+ " if (forward) {\n",
+ " canvas_div.style.width = width + 'px';\n",
+ " canvas_div.style.height = height + 'px';\n",
+ " }\n",
+ " };\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " canvas_div.addEventListener('contextmenu', function (_e) {\n",
+ " event.preventDefault();\n",
+ " return false;\n",
+ " });\n",
+ "\n",
+ " function set_focus() {\n",
+ " canvas.focus();\n",
+ " canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " window.setTimeout(set_focus, 100);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function () {\n",
+ " var fig = this;\n",
+ "\n",
+ " var toolbar = document.createElement('div');\n",
+ " toolbar.classList = 'mpl-toolbar';\n",
+ " this.root.appendChild(toolbar);\n",
+ "\n",
+ " function on_click_closure(name) {\n",
+ " return function (_event) {\n",
+ " return fig.toolbar_button_onclick(name);\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " function on_mouseover_closure(tooltip) {\n",
+ " return function (event) {\n",
+ " if (!event.currentTarget.disabled) {\n",
+ " return fig.toolbar_button_onmouseover(tooltip);\n",
+ " }\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " fig.buttons = {};\n",
+ " var buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'mpl-button-group';\n",
+ " for (var toolbar_ind in mpl.toolbar_items) {\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) {\n",
+ " /* Instead of a spacer, we start a new button group. */\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ " buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'mpl-button-group';\n",
+ " continue;\n",
+ " }\n",
+ "\n",
+ " var button = (fig.buttons[name] = document.createElement('button'));\n",
+ " button.classList = 'mpl-widget';\n",
+ " button.setAttribute('role', 'button');\n",
+ " button.setAttribute('aria-disabled', 'false');\n",
+ " button.addEventListener('click', on_click_closure(method_name));\n",
+ " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
+ "\n",
+ " var icon_img = document.createElement('img');\n",
+ " icon_img.src = '_images/' + image + '.png';\n",
+ " icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
+ " icon_img.alt = tooltip;\n",
+ " button.appendChild(icon_img);\n",
+ "\n",
+ " buttonGroup.appendChild(button);\n",
+ " }\n",
+ "\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker = document.createElement('select');\n",
+ " fmt_picker.classList = 'mpl-widget';\n",
+ " toolbar.appendChild(fmt_picker);\n",
+ " this.format_dropdown = fmt_picker;\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = document.createElement('option');\n",
+ " option.selected = fmt === mpl.default_extension;\n",
+ " option.innerHTML = fmt;\n",
+ " fmt_picker.appendChild(option);\n",
+ " }\n",
+ "\n",
+ " var status_bar = document.createElement('span');\n",
+ " status_bar.classList = 'mpl-message';\n",
+ " toolbar.appendChild(status_bar);\n",
+ " this.message = status_bar;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+ " // which will in turn request a refresh of the image.\n",
+ " this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.send_message = function (type, properties) {\n",
+ " properties['type'] = type;\n",
+ " properties['figure_id'] = this.id;\n",
+ " this.ws.send(JSON.stringify(properties));\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.send_draw_message = function () {\n",
+ " if (!this.waiting) {\n",
+ " this.waiting = true;\n",
+ " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
+ " var format_dropdown = fig.format_dropdown;\n",
+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+ " fig.ondownload(fig, format);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
+ " var size = msg['size'];\n",
+ " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
+ " fig._resize_canvas(size[0], size[1], msg['forward']);\n",
+ " fig.send_message('refresh', {});\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
+ " var x0 = msg['x0'] / fig.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
+ " var x1 = msg['x1'] / fig.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
+ " x0 = Math.floor(x0) + 0.5;\n",
+ " y0 = Math.floor(y0) + 0.5;\n",
+ " x1 = Math.floor(x1) + 0.5;\n",
+ " y1 = Math.floor(y1) + 0.5;\n",
+ " var min_x = Math.min(x0, x1);\n",
+ " var min_y = Math.min(y0, y1);\n",
+ " var width = Math.abs(x1 - x0);\n",
+ " var height = Math.abs(y1 - y0);\n",
+ "\n",
+ " fig.rubberband_context.clearRect(\n",
+ " 0,\n",
+ " 0,\n",
+ " fig.canvas.width / fig.ratio,\n",
+ " fig.canvas.height / fig.ratio\n",
+ " );\n",
+ "\n",
+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
+ " // Updates the figure title.\n",
+ " fig.header.textContent = msg['label'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
+ " fig.canvas_div.style.cursor = msg['cursor'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
+ " fig.message.textContent = msg['message'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
+ " // Request the server to send over a new figure.\n",
+ " fig.send_draw_message();\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
+ " fig.image_mode = msg['mode'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
+ " for (var key in msg) {\n",
+ " if (!(key in fig.buttons)) {\n",
+ " continue;\n",
+ " }\n",
+ " fig.buttons[key].disabled = !msg[key];\n",
+ " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
+ " if (msg['mode'] === 'PAN') {\n",
+ " fig.buttons['Pan'].classList.add('active');\n",
+ " fig.buttons['Zoom'].classList.remove('active');\n",
+ " } else if (msg['mode'] === 'ZOOM') {\n",
+ " fig.buttons['Pan'].classList.remove('active');\n",
+ " fig.buttons['Zoom'].classList.add('active');\n",
+ " } else {\n",
+ " fig.buttons['Pan'].classList.remove('active');\n",
+ " fig.buttons['Zoom'].classList.remove('active');\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function () {\n",
+ " // Called whenever the canvas gets updated.\n",
+ " this.send_message('ack', {});\n",
+ "};\n",
+ "\n",
+ "// A function to construct a web socket function for onmessage handling.\n",
+ "// Called in the figure constructor.\n",
+ "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
+ " return function socket_on_message(evt) {\n",
+ " if (evt.data instanceof Blob) {\n",
+ " var img = evt.data;\n",
+ " if (img.type !== 'image/png') {\n",
+ " /* FIXME: We get \"Resource interpreted as Image but\n",
+ " * transferred with MIME type text/plain:\" errors on\n",
+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
+ " * to be part of the websocket stream */\n",
+ " img.type = 'image/png';\n",
+ " }\n",
+ "\n",
+ " /* Free the memory for the previous frames */\n",
+ " if (fig.imageObj.src) {\n",
+ " (window.URL || window.webkitURL).revokeObjectURL(\n",
+ " fig.imageObj.src\n",
+ " );\n",
+ " }\n",
+ "\n",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " img\n",
+ " );\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " } else if (\n",
+ " typeof evt.data === 'string' &&\n",
+ " evt.data.slice(0, 21) === 'data:image/png;base64'\n",
+ " ) {\n",
+ " fig.imageObj.src = evt.data;\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var msg = JSON.parse(evt.data);\n",
+ " var msg_type = msg['type'];\n",
+ "\n",
+ " // Call the \"handle_{type}\" callback, which takes\n",
+ " // the figure and JSON message as its only arguments.\n",
+ " try {\n",
+ " var callback = fig['handle_' + msg_type];\n",
+ " } catch (e) {\n",
+ " console.log(\n",
+ " \"No handler for the '\" + msg_type + \"' message type: \",\n",
+ " msg\n",
+ " );\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " if (callback) {\n",
+ " try {\n",
+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+ " callback(fig, msg);\n",
+ " } catch (e) {\n",
+ " console.log(\n",
+ " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
+ " e,\n",
+ " e.stack,\n",
+ " msg\n",
+ " );\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "};\n",
+ "\n",
+ "\n",
+ "/*\n",
+ " * return a copy of an object with only non-object keys\n",
+ " * we need this to avoid circular references\n",
+ " * https://stackoverflow.com/a/24161582/3208463\n",
+ " */\n",
+ "function simpleKeys(original) {\n",
+ " return Object.keys(original).reduce(function (obj, key) {\n",
+ " if (typeof original[key] !== 'object') {\n",
+ " obj[key] = original[key];\n",
+ " }\n",
+ " return obj;\n",
+ " }, {});\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.mouse_event = function (event, name) {\n",
+ " if (name === 'button_press') {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " // from https://stackoverflow.com/q/1114465\n",
+ " var boundingRect = this.canvas.getBoundingClientRect();\n",
+ " var x = (event.clientX - boundingRect.left) * this.ratio;\n",
+ " var y = (event.clientY - boundingRect.top) * this.ratio;\n",
+ "\n",
+ " this.send_message(name, {\n",
+ " x: x,\n",
+ " y: y,\n",
+ " button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event),\n",
+ " });\n",
+ "\n",
+ " return false;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
+ " // Handle any extra behaviour associated with a key event\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.key_event = function (event, name) {\n",
+ " // Prevent repeat events\n",
+ " if (name === 'key_press') {\n",
+ " if (event.key === this._key) {\n",
+ " return;\n",
+ " } else {\n",
+ " this._key = event.key;\n",
+ " }\n",
+ " }\n",
+ " if (name === 'key_release') {\n",
+ " this._key = null;\n",
+ " }\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.key !== 'Control') {\n",
+ " value += 'ctrl+';\n",
+ " }\n",
+ " else if (event.altKey && event.key !== 'Alt') {\n",
+ " value += 'alt+';\n",
+ " }\n",
+ " else if (event.shiftKey && event.key !== 'Shift') {\n",
+ " value += 'shift+';\n",
+ " }\n",
+ "\n",
+ " value += 'k' + event.key;\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
+ " return false;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
+ " if (name === 'download') {\n",
+ " this.handle_save(this, null);\n",
+ " } else {\n",
+ " this.send_message('toolbar_button', { name: name });\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
+ " this.message.textContent = tooltip;\n",
+ "};\n",
+ "\n",
+ "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
+ "// prettier-ignore\n",
+ "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";/* global mpl */\n",
+ "\n",
+ "var comm_websocket_adapter = function (comm) {\n",
+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
+ " // object with the appropriate methods. Currently this is a non binary\n",
+ " // socket, so there is still some room for performance tuning.\n",
+ " var ws = {};\n",
+ "\n",
+ " ws.binaryType = comm.kernel.ws.binaryType;\n",
+ " ws.readyState = comm.kernel.ws.readyState;\n",
+ " function updateReadyState(_event) {\n",
+ " if (comm.kernel.ws) {\n",
+ " ws.readyState = comm.kernel.ws.readyState;\n",
+ " } else {\n",
+ " ws.readyState = 3; // Closed state.\n",
+ " }\n",
+ " }\n",
+ " comm.kernel.ws.addEventListener('open', updateReadyState);\n",
+ " comm.kernel.ws.addEventListener('close', updateReadyState);\n",
+ " comm.kernel.ws.addEventListener('error', updateReadyState);\n",
+ "\n",
+ " ws.close = function () {\n",
+ " comm.close();\n",
+ " };\n",
+ " ws.send = function (m) {\n",
+ " //console.log('sending', m);\n",
+ " comm.send(m);\n",
+ " };\n",
+ " // Register the callback with on_msg.\n",
+ " comm.on_msg(function (msg) {\n",
+ " //console.log('receiving', msg['content']['data'], msg);\n",
+ " var data = msg['content']['data'];\n",
+ " if (data['blob'] !== undefined) {\n",
+ " data = {\n",
+ " data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
+ " };\n",
+ " }\n",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(data);\n",
+ " });\n",
+ " return ws;\n",
+ "};\n",
+ "\n",
+ "mpl.mpl_figure_comm = function (comm, msg) {\n",
+ " // This is the function which gets called when the mpl process\n",
+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+ "\n",
+ " var id = msg.content.data.id;\n",
+ " // Get hold of the div created by the display call when the Comm\n",
+ " // socket was opened in Python.\n",
+ " var element = document.getElementById(id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm);\n",
+ "\n",
+ " function ondownload(figure, _format) {\n",
+ " window.open(figure.canvas.toDataURL());\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
+ "\n",
+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+ " // web socket which is closed, not our websocket->open comm proxy.\n",
+ " ws_proxy.onopen();\n",
+ "\n",
+ " fig.parent_element = element;\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error('Failed to find cell for figure', id, fig);\n",
+ " return;\n",
+ " }\n",
+ " fig.cell_info[0].output_area.element.on(\n",
+ " 'cleared',\n",
+ " { fig: fig },\n",
+ " fig._remove_fig_handler\n",
+ " );\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
+ " var width = fig.canvas.width / fig.ratio;\n",
+ " fig.cell_info[0].output_area.element.off(\n",
+ " 'cleared',\n",
+ " fig._remove_fig_handler\n",
+ " );\n",
+ " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
+ "\n",
+ " // Update the output cell to use the data from the current canvas.\n",
+ " fig.push_to_output();\n",
+ " var dataURL = fig.canvas.toDataURL();\n",
+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+ " // the notebook keyboard shortcuts fail.\n",
+ " IPython.keyboard_manager.enable();\n",
+ " fig.parent_element.innerHTML =\n",
+ " '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+ " fig.close_ws(fig, msg);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
+ " fig.send_message('closing', msg);\n",
+ " // fig.ws.close()\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
+ " // Turn the data on the canvas into data in the output cell.\n",
+ " var width = this.canvas.width / this.ratio;\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] =\n",
+ " '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function () {\n",
+ " // Tell IPython that the notebook contents must change.\n",
+ " IPython.notebook.set_dirty(true);\n",
+ " this.send_message('ack', {});\n",
+ " var fig = this;\n",
+ " // Wait a second, then push the new image to the DOM so\n",
+ " // that it is saved nicely (might be nice to debounce this).\n",
+ " setTimeout(function () {\n",
+ " fig.push_to_output();\n",
+ " }, 1000);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function () {\n",
+ " var fig = this;\n",
+ "\n",
+ " var toolbar = document.createElement('div');\n",
+ " toolbar.classList = 'btn-toolbar';\n",
+ " this.root.appendChild(toolbar);\n",
+ "\n",
+ " function on_click_closure(name) {\n",
+ " return function (_event) {\n",
+ " return fig.toolbar_button_onclick(name);\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " function on_mouseover_closure(tooltip) {\n",
+ " return function (event) {\n",
+ " if (!event.currentTarget.disabled) {\n",
+ " return fig.toolbar_button_onmouseover(tooltip);\n",
+ " }\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " fig.buttons = {};\n",
+ " var buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'btn-group';\n",
+ " var button;\n",
+ " for (var toolbar_ind in mpl.toolbar_items) {\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) {\n",
+ " /* Instead of a spacer, we start a new button group. */\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ " buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'btn-group';\n",
+ " continue;\n",
+ " }\n",
+ "\n",
+ " button = fig.buttons[name] = document.createElement('button');\n",
+ " button.classList = 'btn btn-default';\n",
+ " button.href = '#';\n",
+ " button.title = name;\n",
+ " button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
+ " button.addEventListener('click', on_click_closure(method_name));\n",
+ " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
+ " buttonGroup.appendChild(button);\n",
+ " }\n",
+ "\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = document.createElement('span');\n",
+ " status_bar.classList = 'mpl-message pull-right';\n",
+ " toolbar.appendChild(status_bar);\n",
+ " this.message = status_bar;\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = document.createElement('div');\n",
+ " buttongrp.classList = 'btn-group inline pull-right';\n",
+ " button = document.createElement('button');\n",
+ " button.classList = 'btn btn-mini btn-primary';\n",
+ " button.href = '#';\n",
+ " button.title = 'Stop Interaction';\n",
+ " button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
+ " button.addEventListener('click', function (_evt) {\n",
+ " fig.handle_close(fig, {});\n",
+ " });\n",
+ " button.addEventListener(\n",
+ " 'mouseover',\n",
+ " on_mouseover_closure('Stop Interaction')\n",
+ " );\n",
+ " buttongrp.appendChild(button);\n",
+ " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
+ " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
+ " var fig = event.data.fig;\n",
+ " if (event.target !== this) {\n",
+ " // Ignore bubbled events from children.\n",
+ " return;\n",
+ " }\n",
+ " fig.close_ws(fig, {});\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function (el) {\n",
+ " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
+ " // this is important to make the div 'focusable\n",
+ " el.setAttribute('tabindex', 0);\n",
+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
+ " // off when our div gets focus\n",
+ "\n",
+ " // location in version 3\n",
+ " if (IPython.notebook.keyboard_manager) {\n",
+ " IPython.notebook.keyboard_manager.register_events(el);\n",
+ " } else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which === 13) {\n",
+ " this.canvas_div.blur();\n",
+ " // select the cell after this one\n",
+ " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+ " IPython.notebook.select(index + 1);\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "};\n",
+ "\n",
+ "mpl.find_output_cell = function (html_output) {\n",
+ " // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+ " // IPython event is triggered only after the cells have been serialised, which for\n",
+ " // our purposes (turning an active figure into a static one), is too late.\n",
+ " var cells = IPython.notebook.get_cells();\n",
+ " var ncells = cells.length;\n",
+ " for (var i = 0; i < ncells; i++) {\n",
+ " var cell = cells[i];\n",
+ " if (cell.cell_type === 'code') {\n",
+ " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
+ " var data = cell.output_area.outputs[j];\n",
+ " if (data.data) {\n",
+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
+ " data = data.data;\n",
+ " }\n",
+ " if (data['text/html'] === html_output) {\n",
+ " return [cell, data, j];\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "// Register the function which deals with the matplotlib target/channel.\n",
+ "// The kernel may be null if the page has been refreshed.\n",
+ "if (IPython.notebook.kernel !== null) {\n",
+ " IPython.notebook.kernel.comm_manager.register_target(\n",
+ " 'matplotlib',\n",
+ " mpl.mpl_figure_comm\n",
+ " );\n",
+ "}\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Javascript object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
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\" width=\"799.9999826604674\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "crs= ccrs.LambertAzimuthalEqualArea(central_longitude=0.0, central_latitude=-90.0)\n",
+ "fig = plt.figure(figsize=(8,8),tight_layout=True)\n",
+ "spec = GridSpec(ncols=16, nrows=3, figure=fig)\n",
+ "ax = fig.add_subplot(spec[0:3,0:15], projection=crs)\n",
+ "ax6 = fig.add_subplot(spec[1:2,15:16])\n",
+ "cmap=cmocean.cm.dense_r\n",
+ "\n",
+ "cmap = cmocean.cm.dense_r\n",
+ "cmap.set_over(\"#ffffff\")\n",
+ "cmap.set_bad(\"#f0f0f0\")\n",
+ "cmap.set_under(\"#0000f0\")\n",
+ "\n",
+ "\n",
+ "cmap2 = plt.cm.tab10 # Discrete for polygons\n",
+ "#cmap=cm.YlOrRd\n",
+ "#cmap=cm.magma_r\n",
+ "vmin,vmax=0,0.5\n",
+ "#label='Sea ice production [m/year]'\n",
+ "label='MODIS sea ice thickness [m]'\n",
+ "\n",
+ "ax.add_feature(land_50m)\n",
+ "ax.coastlines(resolution='50m',lw=0.2,color='#b0b0b0')\n",
+ "\n",
+ "#ax.set_extent([-180, 180, -90, -55], ccrs.PlateCarree())\n",
+ "ax.set_extent([-55, -15, -70, -78], ccrs.PlateCarree()) # Weddell\n",
+ "\n",
+ "gl=ax.gridlines(draw_labels=True, dms=True, x_inline=False, y_inline=False,linewidth=0.3)\n",
+ "gl.xlocator = mticker.FixedLocator(arange(-180,180,5))\n",
+ "gl.ylocator = mticker.FixedLocator(arange(-90,-50,2))\n",
+ "\n",
+ "gl.top_labels = True\n",
+ "gl.right_labels = False\n",
+ "gl.left_labels = True\n",
+ "gl.bottom_labels = False\n",
+ "\n",
+ "im=ax.pcolormesh(lonM,latM,tit,transform=ccrs.PlateCarree(),cmap=cmap,vmin=vmin,vmax=vmax)\n",
+ "\n",
+ "norm = mpl.colors.Normalize(vmin=vmin, vmax=vmax)\n",
+ "colorbar(mpl.cm.ScalarMappable(norm=norm, cmap=cmap),cax=ax6, label=label, extend='max')\n",
+ "\n",
+ "lon1=-37.0\n",
+ "lon1=-39.0\n",
+ "\n",
+ "lat1=-78.0\n",
+ "xp1,yp1=crs.transform_point(lon1,lat1, src_crs=ccrs.PlateCarree())\n",
+ "\n",
+ "lat2=-76.0\n",
+ "xp2,yp2=crs.transform_point(lon1,lat2, src_crs=ccrs.PlateCarree())\n",
+ "\n",
+ "Lx=[xp1,xp2]\n",
+ "Ly=[yp1,yp2]\n",
+ "\n",
+ "ax.plot(array(Lx),array(Ly),'r-',alpha=0.5)\n",
+ "tight_layout()\n",
+ "#savefig('MODIS_20120508.pdf')\n",
+ "#savefig('MODIS_20120508.png',dpi=300)\n",
+ "#savefig('MODIS_20120508_100.png',dpi=100)\n",
+ "#savefig('MODIS_20120506.png',dpi=300)\n",
+ "#savefig('MODIS_20120506_100.png',dpi=100)\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 298,
+ "id": "6a03509e",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/tmp/ipykernel_432625/2923163827.py:20: UserWarning: Warning: converting a masked element to nan.\n",
+ " Prof2a=array(Prof2)\n"
+ ]
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "/* Put everything inside the global mpl namespace */\n",
+ "/* global mpl */\n",
+ "window.mpl = {};\n",
+ "\n",
+ "mpl.get_websocket_type = function () {\n",
+ " if (typeof WebSocket !== 'undefined') {\n",
+ " return WebSocket;\n",
+ " } else if (typeof MozWebSocket !== 'undefined') {\n",
+ " return MozWebSocket;\n",
+ " } else {\n",
+ " alert(\n",
+ " 'Your browser does not have WebSocket support. ' +\n",
+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+ " 'Firefox 4 and 5 are also supported but you ' +\n",
+ " 'have to enable WebSockets in about:config.'\n",
+ " );\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
+ " this.id = figure_id;\n",
+ "\n",
+ " this.ws = websocket;\n",
+ "\n",
+ " this.supports_binary = this.ws.binaryType !== undefined;\n",
+ "\n",
+ " if (!this.supports_binary) {\n",
+ " var warnings = document.getElementById('mpl-warnings');\n",
+ " if (warnings) {\n",
+ " warnings.style.display = 'block';\n",
+ " warnings.textContent =\n",
+ " 'This browser does not support binary websocket messages. ' +\n",
+ " 'Performance may be slow.';\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " this.imageObj = new Image();\n",
+ "\n",
+ " this.context = undefined;\n",
+ " this.message = undefined;\n",
+ " this.canvas = undefined;\n",
+ " this.rubberband_canvas = undefined;\n",
+ " this.rubberband_context = undefined;\n",
+ " this.format_dropdown = undefined;\n",
+ "\n",
+ " this.image_mode = 'full';\n",
+ "\n",
+ " this.root = document.createElement('div');\n",
+ " this.root.setAttribute('style', 'display: inline-block');\n",
+ " this._root_extra_style(this.root);\n",
+ "\n",
+ " parent_element.appendChild(this.root);\n",
+ "\n",
+ " this._init_header(this);\n",
+ " this._init_canvas(this);\n",
+ " this._init_toolbar(this);\n",
+ "\n",
+ " var fig = this;\n",
+ "\n",
+ " this.waiting = false;\n",
+ "\n",
+ " this.ws.onopen = function () {\n",
+ " fig.send_message('supports_binary', { value: fig.supports_binary });\n",
+ " fig.send_message('send_image_mode', {});\n",
+ " if (fig.ratio !== 1) {\n",
+ " fig.send_message('set_device_pixel_ratio', {\n",
+ " device_pixel_ratio: fig.ratio,\n",
+ " });\n",
+ " }\n",
+ " fig.send_message('refresh', {});\n",
+ " };\n",
+ "\n",
+ " this.imageObj.onload = function () {\n",
+ " if (fig.image_mode === 'full') {\n",
+ " // Full images could contain transparency (where diff images\n",
+ " // almost always do), so we need to clear the canvas so that\n",
+ " // there is no ghosting.\n",
+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+ " }\n",
+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
+ " };\n",
+ "\n",
+ " this.imageObj.onunload = function () {\n",
+ " fig.ws.close();\n",
+ " };\n",
+ "\n",
+ " this.ws.onmessage = this._make_on_message_function(this);\n",
+ "\n",
+ " this.ondownload = ondownload;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._init_header = function () {\n",
+ " var titlebar = document.createElement('div');\n",
+ " titlebar.classList =\n",
+ " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
+ " var titletext = document.createElement('div');\n",
+ " titletext.classList = 'ui-dialog-title';\n",
+ " titletext.setAttribute(\n",
+ " 'style',\n",
+ " 'width: 100%; text-align: center; padding: 3px;'\n",
+ " );\n",
+ " titlebar.appendChild(titletext);\n",
+ " this.root.appendChild(titlebar);\n",
+ " this.header = titletext;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
+ "\n",
+ "mpl.figure.prototype._init_canvas = function () {\n",
+ " var fig = this;\n",
+ "\n",
+ " var canvas_div = (this.canvas_div = document.createElement('div'));\n",
+ " canvas_div.setAttribute('tabindex', '0');\n",
+ " canvas_div.setAttribute(\n",
+ " 'style',\n",
+ " 'border: 1px solid #ddd;' +\n",
+ " 'box-sizing: content-box;' +\n",
+ " 'clear: both;' +\n",
+ " 'min-height: 1px;' +\n",
+ " 'min-width: 1px;' +\n",
+ " 'outline: 0;' +\n",
+ " 'overflow: hidden;' +\n",
+ " 'position: relative;' +\n",
+ " 'resize: both;' +\n",
+ " 'z-index: 2;'\n",
+ " );\n",
+ "\n",
+ " function on_keyboard_event_closure(name) {\n",
+ " return function (event) {\n",
+ " return fig.key_event(event, name);\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " canvas_div.addEventListener(\n",
+ " 'keydown',\n",
+ " on_keyboard_event_closure('key_press')\n",
+ " );\n",
+ " canvas_div.addEventListener(\n",
+ " 'keyup',\n",
+ " on_keyboard_event_closure('key_release')\n",
+ " );\n",
+ "\n",
+ " this._canvas_extra_style(canvas_div);\n",
+ " this.root.appendChild(canvas_div);\n",
+ "\n",
+ " var canvas = (this.canvas = document.createElement('canvas'));\n",
+ " canvas.classList.add('mpl-canvas');\n",
+ " canvas.setAttribute(\n",
+ " 'style',\n",
+ " 'box-sizing: content-box;' +\n",
+ " 'pointer-events: none;' +\n",
+ " 'position: relative;' +\n",
+ " 'z-index: 0;'\n",
+ " );\n",
+ "\n",
+ " this.context = canvas.getContext('2d');\n",
+ "\n",
+ " var backingStore =\n",
+ " this.context.backingStorePixelRatio ||\n",
+ " this.context.webkitBackingStorePixelRatio ||\n",
+ " this.context.mozBackingStorePixelRatio ||\n",
+ " this.context.msBackingStorePixelRatio ||\n",
+ " this.context.oBackingStorePixelRatio ||\n",
+ " this.context.backingStorePixelRatio ||\n",
+ " 1;\n",
+ "\n",
+ " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+ "\n",
+ " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
+ " 'canvas'\n",
+ " ));\n",
+ " rubberband_canvas.setAttribute(\n",
+ " 'style',\n",
+ " 'box-sizing: content-box;' +\n",
+ " 'left: 0;' +\n",
+ " 'pointer-events: none;' +\n",
+ " 'position: absolute;' +\n",
+ " 'top: 0;' +\n",
+ " 'z-index: 1;'\n",
+ " );\n",
+ "\n",
+ " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
+ " if (this.ResizeObserver === undefined) {\n",
+ " if (window.ResizeObserver !== undefined) {\n",
+ " this.ResizeObserver = window.ResizeObserver;\n",
+ " } else {\n",
+ " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
+ " this.ResizeObserver = obs.ResizeObserver;\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
+ " var nentries = entries.length;\n",
+ " for (var i = 0; i < nentries; i++) {\n",
+ " var entry = entries[i];\n",
+ " var width, height;\n",
+ " if (entry.contentBoxSize) {\n",
+ " if (entry.contentBoxSize instanceof Array) {\n",
+ " // Chrome 84 implements new version of spec.\n",
+ " width = entry.contentBoxSize[0].inlineSize;\n",
+ " height = entry.contentBoxSize[0].blockSize;\n",
+ " } else {\n",
+ " // Firefox implements old version of spec.\n",
+ " width = entry.contentBoxSize.inlineSize;\n",
+ " height = entry.contentBoxSize.blockSize;\n",
+ " }\n",
+ " } else {\n",
+ " // Chrome <84 implements even older version of spec.\n",
+ " width = entry.contentRect.width;\n",
+ " height = entry.contentRect.height;\n",
+ " }\n",
+ "\n",
+ " // Keep the size of the canvas and rubber band canvas in sync with\n",
+ " // the canvas container.\n",
+ " if (entry.devicePixelContentBoxSize) {\n",
+ " // Chrome 84 implements new version of spec.\n",
+ " canvas.setAttribute(\n",
+ " 'width',\n",
+ " entry.devicePixelContentBoxSize[0].inlineSize\n",
+ " );\n",
+ " canvas.setAttribute(\n",
+ " 'height',\n",
+ " entry.devicePixelContentBoxSize[0].blockSize\n",
+ " );\n",
+ " } else {\n",
+ " canvas.setAttribute('width', width * fig.ratio);\n",
+ " canvas.setAttribute('height', height * fig.ratio);\n",
+ " }\n",
+ " /* This rescales the canvas back to display pixels, so that it\n",
+ " * appears correct on HiDPI screens. */\n",
+ " canvas.style.width = width + 'px';\n",
+ " canvas.style.height = height + 'px';\n",
+ "\n",
+ " rubberband_canvas.setAttribute('width', width);\n",
+ " rubberband_canvas.setAttribute('height', height);\n",
+ "\n",
+ " // And update the size in Python. We ignore the initial 0/0 size\n",
+ " // that occurs as the element is placed into the DOM, which should\n",
+ " // otherwise not happen due to the minimum size styling.\n",
+ " if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
+ " fig.request_resize(width, height);\n",
+ " }\n",
+ " }\n",
+ " });\n",
+ " this.resizeObserverInstance.observe(canvas_div);\n",
+ "\n",
+ " function on_mouse_event_closure(name) {\n",
+ " /* User Agent sniffing is bad, but WebKit is busted:\n",
+ " * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
+ " * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
+ " * The worst that happens here is that they get an extra browser\n",
+ " * selection when dragging, if this check fails to catch them.\n",
+ " */\n",
+ " var UA = navigator.userAgent;\n",
+ " var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
+ " if(isWebKit) {\n",
+ " return function (event) {\n",
+ " /* This prevents the web browser from automatically changing to\n",
+ " * the text insertion cursor when the button is pressed. We\n",
+ " * want to control all of the cursor setting manually through\n",
+ " * the 'cursor' event from matplotlib */\n",
+ " event.preventDefault()\n",
+ " return fig.mouse_event(event, name);\n",
+ " };\n",
+ " } else {\n",
+ " return function (event) {\n",
+ " return fig.mouse_event(event, name);\n",
+ " };\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " canvas_div.addEventListener(\n",
+ " 'mousedown',\n",
+ " on_mouse_event_closure('button_press')\n",
+ " );\n",
+ " canvas_div.addEventListener(\n",
+ " 'mouseup',\n",
+ " on_mouse_event_closure('button_release')\n",
+ " );\n",
+ " canvas_div.addEventListener(\n",
+ " 'dblclick',\n",
+ " on_mouse_event_closure('dblclick')\n",
+ " );\n",
+ " // Throttle sequential mouse events to 1 every 20ms.\n",
+ " canvas_div.addEventListener(\n",
+ " 'mousemove',\n",
+ " on_mouse_event_closure('motion_notify')\n",
+ " );\n",
+ "\n",
+ " canvas_div.addEventListener(\n",
+ " 'mouseenter',\n",
+ " on_mouse_event_closure('figure_enter')\n",
+ " );\n",
+ " canvas_div.addEventListener(\n",
+ " 'mouseleave',\n",
+ " on_mouse_event_closure('figure_leave')\n",
+ " );\n",
+ "\n",
+ " canvas_div.addEventListener('wheel', function (event) {\n",
+ " if (event.deltaY < 0) {\n",
+ " event.step = 1;\n",
+ " } else {\n",
+ " event.step = -1;\n",
+ " }\n",
+ " on_mouse_event_closure('scroll')(event);\n",
+ " });\n",
+ "\n",
+ " canvas_div.appendChild(canvas);\n",
+ " canvas_div.appendChild(rubberband_canvas);\n",
+ "\n",
+ " this.rubberband_context = rubberband_canvas.getContext('2d');\n",
+ " this.rubberband_context.strokeStyle = '#000000';\n",
+ "\n",
+ " this._resize_canvas = function (width, height, forward) {\n",
+ " if (forward) {\n",
+ " canvas_div.style.width = width + 'px';\n",
+ " canvas_div.style.height = height + 'px';\n",
+ " }\n",
+ " };\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " canvas_div.addEventListener('contextmenu', function (_e) {\n",
+ " event.preventDefault();\n",
+ " return false;\n",
+ " });\n",
+ "\n",
+ " function set_focus() {\n",
+ " canvas.focus();\n",
+ " canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " window.setTimeout(set_focus, 100);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function () {\n",
+ " var fig = this;\n",
+ "\n",
+ " var toolbar = document.createElement('div');\n",
+ " toolbar.classList = 'mpl-toolbar';\n",
+ " this.root.appendChild(toolbar);\n",
+ "\n",
+ " function on_click_closure(name) {\n",
+ " return function (_event) {\n",
+ " return fig.toolbar_button_onclick(name);\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " function on_mouseover_closure(tooltip) {\n",
+ " return function (event) {\n",
+ " if (!event.currentTarget.disabled) {\n",
+ " return fig.toolbar_button_onmouseover(tooltip);\n",
+ " }\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " fig.buttons = {};\n",
+ " var buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'mpl-button-group';\n",
+ " for (var toolbar_ind in mpl.toolbar_items) {\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) {\n",
+ " /* Instead of a spacer, we start a new button group. */\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ " buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'mpl-button-group';\n",
+ " continue;\n",
+ " }\n",
+ "\n",
+ " var button = (fig.buttons[name] = document.createElement('button'));\n",
+ " button.classList = 'mpl-widget';\n",
+ " button.setAttribute('role', 'button');\n",
+ " button.setAttribute('aria-disabled', 'false');\n",
+ " button.addEventListener('click', on_click_closure(method_name));\n",
+ " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
+ "\n",
+ " var icon_img = document.createElement('img');\n",
+ " icon_img.src = '_images/' + image + '.png';\n",
+ " icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
+ " icon_img.alt = tooltip;\n",
+ " button.appendChild(icon_img);\n",
+ "\n",
+ " buttonGroup.appendChild(button);\n",
+ " }\n",
+ "\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker = document.createElement('select');\n",
+ " fmt_picker.classList = 'mpl-widget';\n",
+ " toolbar.appendChild(fmt_picker);\n",
+ " this.format_dropdown = fmt_picker;\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = document.createElement('option');\n",
+ " option.selected = fmt === mpl.default_extension;\n",
+ " option.innerHTML = fmt;\n",
+ " fmt_picker.appendChild(option);\n",
+ " }\n",
+ "\n",
+ " var status_bar = document.createElement('span');\n",
+ " status_bar.classList = 'mpl-message';\n",
+ " toolbar.appendChild(status_bar);\n",
+ " this.message = status_bar;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+ " // which will in turn request a refresh of the image.\n",
+ " this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.send_message = function (type, properties) {\n",
+ " properties['type'] = type;\n",
+ " properties['figure_id'] = this.id;\n",
+ " this.ws.send(JSON.stringify(properties));\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.send_draw_message = function () {\n",
+ " if (!this.waiting) {\n",
+ " this.waiting = true;\n",
+ " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
+ " var format_dropdown = fig.format_dropdown;\n",
+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+ " fig.ondownload(fig, format);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
+ " var size = msg['size'];\n",
+ " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
+ " fig._resize_canvas(size[0], size[1], msg['forward']);\n",
+ " fig.send_message('refresh', {});\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
+ " var x0 = msg['x0'] / fig.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
+ " var x1 = msg['x1'] / fig.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
+ " x0 = Math.floor(x0) + 0.5;\n",
+ " y0 = Math.floor(y0) + 0.5;\n",
+ " x1 = Math.floor(x1) + 0.5;\n",
+ " y1 = Math.floor(y1) + 0.5;\n",
+ " var min_x = Math.min(x0, x1);\n",
+ " var min_y = Math.min(y0, y1);\n",
+ " var width = Math.abs(x1 - x0);\n",
+ " var height = Math.abs(y1 - y0);\n",
+ "\n",
+ " fig.rubberband_context.clearRect(\n",
+ " 0,\n",
+ " 0,\n",
+ " fig.canvas.width / fig.ratio,\n",
+ " fig.canvas.height / fig.ratio\n",
+ " );\n",
+ "\n",
+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
+ " // Updates the figure title.\n",
+ " fig.header.textContent = msg['label'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
+ " fig.canvas_div.style.cursor = msg['cursor'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
+ " fig.message.textContent = msg['message'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
+ " // Request the server to send over a new figure.\n",
+ " fig.send_draw_message();\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
+ " fig.image_mode = msg['mode'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
+ " for (var key in msg) {\n",
+ " if (!(key in fig.buttons)) {\n",
+ " continue;\n",
+ " }\n",
+ " fig.buttons[key].disabled = !msg[key];\n",
+ " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
+ " if (msg['mode'] === 'PAN') {\n",
+ " fig.buttons['Pan'].classList.add('active');\n",
+ " fig.buttons['Zoom'].classList.remove('active');\n",
+ " } else if (msg['mode'] === 'ZOOM') {\n",
+ " fig.buttons['Pan'].classList.remove('active');\n",
+ " fig.buttons['Zoom'].classList.add('active');\n",
+ " } else {\n",
+ " fig.buttons['Pan'].classList.remove('active');\n",
+ " fig.buttons['Zoom'].classList.remove('active');\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function () {\n",
+ " // Called whenever the canvas gets updated.\n",
+ " this.send_message('ack', {});\n",
+ "};\n",
+ "\n",
+ "// A function to construct a web socket function for onmessage handling.\n",
+ "// Called in the figure constructor.\n",
+ "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
+ " return function socket_on_message(evt) {\n",
+ " if (evt.data instanceof Blob) {\n",
+ " var img = evt.data;\n",
+ " if (img.type !== 'image/png') {\n",
+ " /* FIXME: We get \"Resource interpreted as Image but\n",
+ " * transferred with MIME type text/plain:\" errors on\n",
+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
+ " * to be part of the websocket stream */\n",
+ " img.type = 'image/png';\n",
+ " }\n",
+ "\n",
+ " /* Free the memory for the previous frames */\n",
+ " if (fig.imageObj.src) {\n",
+ " (window.URL || window.webkitURL).revokeObjectURL(\n",
+ " fig.imageObj.src\n",
+ " );\n",
+ " }\n",
+ "\n",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " img\n",
+ " );\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " } else if (\n",
+ " typeof evt.data === 'string' &&\n",
+ " evt.data.slice(0, 21) === 'data:image/png;base64'\n",
+ " ) {\n",
+ " fig.imageObj.src = evt.data;\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var msg = JSON.parse(evt.data);\n",
+ " var msg_type = msg['type'];\n",
+ "\n",
+ " // Call the \"handle_{type}\" callback, which takes\n",
+ " // the figure and JSON message as its only arguments.\n",
+ " try {\n",
+ " var callback = fig['handle_' + msg_type];\n",
+ " } catch (e) {\n",
+ " console.log(\n",
+ " \"No handler for the '\" + msg_type + \"' message type: \",\n",
+ " msg\n",
+ " );\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " if (callback) {\n",
+ " try {\n",
+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+ " callback(fig, msg);\n",
+ " } catch (e) {\n",
+ " console.log(\n",
+ " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
+ " e,\n",
+ " e.stack,\n",
+ " msg\n",
+ " );\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "};\n",
+ "\n",
+ "\n",
+ "/*\n",
+ " * return a copy of an object with only non-object keys\n",
+ " * we need this to avoid circular references\n",
+ " * https://stackoverflow.com/a/24161582/3208463\n",
+ " */\n",
+ "function simpleKeys(original) {\n",
+ " return Object.keys(original).reduce(function (obj, key) {\n",
+ " if (typeof original[key] !== 'object') {\n",
+ " obj[key] = original[key];\n",
+ " }\n",
+ " return obj;\n",
+ " }, {});\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.mouse_event = function (event, name) {\n",
+ " if (name === 'button_press') {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " // from https://stackoverflow.com/q/1114465\n",
+ " var boundingRect = this.canvas.getBoundingClientRect();\n",
+ " var x = (event.clientX - boundingRect.left) * this.ratio;\n",
+ " var y = (event.clientY - boundingRect.top) * this.ratio;\n",
+ "\n",
+ " this.send_message(name, {\n",
+ " x: x,\n",
+ " y: y,\n",
+ " button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event),\n",
+ " });\n",
+ "\n",
+ " return false;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
+ " // Handle any extra behaviour associated with a key event\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.key_event = function (event, name) {\n",
+ " // Prevent repeat events\n",
+ " if (name === 'key_press') {\n",
+ " if (event.key === this._key) {\n",
+ " return;\n",
+ " } else {\n",
+ " this._key = event.key;\n",
+ " }\n",
+ " }\n",
+ " if (name === 'key_release') {\n",
+ " this._key = null;\n",
+ " }\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.key !== 'Control') {\n",
+ " value += 'ctrl+';\n",
+ " }\n",
+ " else if (event.altKey && event.key !== 'Alt') {\n",
+ " value += 'alt+';\n",
+ " }\n",
+ " else if (event.shiftKey && event.key !== 'Shift') {\n",
+ " value += 'shift+';\n",
+ " }\n",
+ "\n",
+ " value += 'k' + event.key;\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
+ " return false;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
+ " if (name === 'download') {\n",
+ " this.handle_save(this, null);\n",
+ " } else {\n",
+ " this.send_message('toolbar_button', { name: name });\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
+ " this.message.textContent = tooltip;\n",
+ "};\n",
+ "\n",
+ "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
+ "// prettier-ignore\n",
+ "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";/* global mpl */\n",
+ "\n",
+ "var comm_websocket_adapter = function (comm) {\n",
+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
+ " // object with the appropriate methods. Currently this is a non binary\n",
+ " // socket, so there is still some room for performance tuning.\n",
+ " var ws = {};\n",
+ "\n",
+ " ws.binaryType = comm.kernel.ws.binaryType;\n",
+ " ws.readyState = comm.kernel.ws.readyState;\n",
+ " function updateReadyState(_event) {\n",
+ " if (comm.kernel.ws) {\n",
+ " ws.readyState = comm.kernel.ws.readyState;\n",
+ " } else {\n",
+ " ws.readyState = 3; // Closed state.\n",
+ " }\n",
+ " }\n",
+ " comm.kernel.ws.addEventListener('open', updateReadyState);\n",
+ " comm.kernel.ws.addEventListener('close', updateReadyState);\n",
+ " comm.kernel.ws.addEventListener('error', updateReadyState);\n",
+ "\n",
+ " ws.close = function () {\n",
+ " comm.close();\n",
+ " };\n",
+ " ws.send = function (m) {\n",
+ " //console.log('sending', m);\n",
+ " comm.send(m);\n",
+ " };\n",
+ " // Register the callback with on_msg.\n",
+ " comm.on_msg(function (msg) {\n",
+ " //console.log('receiving', msg['content']['data'], msg);\n",
+ " var data = msg['content']['data'];\n",
+ " if (data['blob'] !== undefined) {\n",
+ " data = {\n",
+ " data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
+ " };\n",
+ " }\n",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(data);\n",
+ " });\n",
+ " return ws;\n",
+ "};\n",
+ "\n",
+ "mpl.mpl_figure_comm = function (comm, msg) {\n",
+ " // This is the function which gets called when the mpl process\n",
+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+ "\n",
+ " var id = msg.content.data.id;\n",
+ " // Get hold of the div created by the display call when the Comm\n",
+ " // socket was opened in Python.\n",
+ " var element = document.getElementById(id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm);\n",
+ "\n",
+ " function ondownload(figure, _format) {\n",
+ " window.open(figure.canvas.toDataURL());\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
+ "\n",
+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+ " // web socket which is closed, not our websocket->open comm proxy.\n",
+ " ws_proxy.onopen();\n",
+ "\n",
+ " fig.parent_element = element;\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error('Failed to find cell for figure', id, fig);\n",
+ " return;\n",
+ " }\n",
+ " fig.cell_info[0].output_area.element.on(\n",
+ " 'cleared',\n",
+ " { fig: fig },\n",
+ " fig._remove_fig_handler\n",
+ " );\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
+ " var width = fig.canvas.width / fig.ratio;\n",
+ " fig.cell_info[0].output_area.element.off(\n",
+ " 'cleared',\n",
+ " fig._remove_fig_handler\n",
+ " );\n",
+ " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
+ "\n",
+ " // Update the output cell to use the data from the current canvas.\n",
+ " fig.push_to_output();\n",
+ " var dataURL = fig.canvas.toDataURL();\n",
+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+ " // the notebook keyboard shortcuts fail.\n",
+ " IPython.keyboard_manager.enable();\n",
+ " fig.parent_element.innerHTML =\n",
+ " '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+ " fig.close_ws(fig, msg);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
+ " fig.send_message('closing', msg);\n",
+ " // fig.ws.close()\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
+ " // Turn the data on the canvas into data in the output cell.\n",
+ " var width = this.canvas.width / this.ratio;\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] =\n",
+ " '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function () {\n",
+ " // Tell IPython that the notebook contents must change.\n",
+ " IPython.notebook.set_dirty(true);\n",
+ " this.send_message('ack', {});\n",
+ " var fig = this;\n",
+ " // Wait a second, then push the new image to the DOM so\n",
+ " // that it is saved nicely (might be nice to debounce this).\n",
+ " setTimeout(function () {\n",
+ " fig.push_to_output();\n",
+ " }, 1000);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function () {\n",
+ " var fig = this;\n",
+ "\n",
+ " var toolbar = document.createElement('div');\n",
+ " toolbar.classList = 'btn-toolbar';\n",
+ " this.root.appendChild(toolbar);\n",
+ "\n",
+ " function on_click_closure(name) {\n",
+ " return function (_event) {\n",
+ " return fig.toolbar_button_onclick(name);\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " function on_mouseover_closure(tooltip) {\n",
+ " return function (event) {\n",
+ " if (!event.currentTarget.disabled) {\n",
+ " return fig.toolbar_button_onmouseover(tooltip);\n",
+ " }\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " fig.buttons = {};\n",
+ " var buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'btn-group';\n",
+ " var button;\n",
+ " for (var toolbar_ind in mpl.toolbar_items) {\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) {\n",
+ " /* Instead of a spacer, we start a new button group. */\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ " buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'btn-group';\n",
+ " continue;\n",
+ " }\n",
+ "\n",
+ " button = fig.buttons[name] = document.createElement('button');\n",
+ " button.classList = 'btn btn-default';\n",
+ " button.href = '#';\n",
+ " button.title = name;\n",
+ " button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
+ " button.addEventListener('click', on_click_closure(method_name));\n",
+ " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
+ " buttonGroup.appendChild(button);\n",
+ " }\n",
+ "\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = document.createElement('span');\n",
+ " status_bar.classList = 'mpl-message pull-right';\n",
+ " toolbar.appendChild(status_bar);\n",
+ " this.message = status_bar;\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = document.createElement('div');\n",
+ " buttongrp.classList = 'btn-group inline pull-right';\n",
+ " button = document.createElement('button');\n",
+ " button.classList = 'btn btn-mini btn-primary';\n",
+ " button.href = '#';\n",
+ " button.title = 'Stop Interaction';\n",
+ " button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
+ " button.addEventListener('click', function (_evt) {\n",
+ " fig.handle_close(fig, {});\n",
+ " });\n",
+ " button.addEventListener(\n",
+ " 'mouseover',\n",
+ " on_mouseover_closure('Stop Interaction')\n",
+ " );\n",
+ " buttongrp.appendChild(button);\n",
+ " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
+ " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
+ " var fig = event.data.fig;\n",
+ " if (event.target !== this) {\n",
+ " // Ignore bubbled events from children.\n",
+ " return;\n",
+ " }\n",
+ " fig.close_ws(fig, {});\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function (el) {\n",
+ " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
+ " // this is important to make the div 'focusable\n",
+ " el.setAttribute('tabindex', 0);\n",
+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
+ " // off when our div gets focus\n",
+ "\n",
+ " // location in version 3\n",
+ " if (IPython.notebook.keyboard_manager) {\n",
+ " IPython.notebook.keyboard_manager.register_events(el);\n",
+ " } else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which === 13) {\n",
+ " this.canvas_div.blur();\n",
+ " // select the cell after this one\n",
+ " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+ " IPython.notebook.select(index + 1);\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "};\n",
+ "\n",
+ "mpl.find_output_cell = function (html_output) {\n",
+ " // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+ " // IPython event is triggered only after the cells have been serialised, which for\n",
+ " // our purposes (turning an active figure into a static one), is too late.\n",
+ " var cells = IPython.notebook.get_cells();\n",
+ " var ncells = cells.length;\n",
+ " for (var i = 0; i < ncells; i++) {\n",
+ " var cell = cells[i];\n",
+ " if (cell.cell_type === 'code') {\n",
+ " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
+ " var data = cell.output_area.outputs[j];\n",
+ " if (data.data) {\n",
+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
+ " data = data.data;\n",
+ " }\n",
+ " if (data['text/html'] === html_output) {\n",
+ " return [cell, data, j];\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "// Register the function which deals with the matplotlib target/channel.\n",
+ "// The kernel may be null if the page has been refreshed.\n",
+ "if (IPython.notebook.kernel !== null) {\n",
+ " IPython.notebook.kernel.comm_manager.register_target(\n",
+ " 'matplotlib',\n",
+ " mpl.mpl_figure_comm\n",
+ " );\n",
+ "}\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Javascript object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
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\" width=\"639.9999861283738\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": [
+ "[<matplotlib.lines.Line2D at 0x7fc660763550>]"
+ ]
+ },
+ "execution_count": 298,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Extract profiles, this has to be repeated with different input data\n",
+ "\n",
+ "\n",
+ "def pixel_index(lat_grd,lon_grd,lat_station,lon_station):\n",
+ " yi,xi=unravel_index(argmin((lon_grd-lon_station)**2+(lat_grd-lat_station)**2),lat_grd.shape) \n",
+ " return yi,xi\n",
+ "\n",
+ "modis_tit=array(tit)\n",
+ "lon_prof=-37.0\n",
+ "lon_prof=-39.0\n",
+ "\n",
+ "lat_prof=linspace(-76,-78,100)\n",
+ "Prof1=[]\n",
+ "Prof2=[]\n",
+ "\n",
+ "for lat_p in lat_prof:\n",
+ " yi,xi=pixel_index(latM,lonM,lat_p,lon_prof)\n",
+ " Prof1.append(modis_tit[yi,xi])\n",
+ " yi,xi=pixel_index(lat_smos,lon_smos,lat_p,lon_prof)\n",
+ " Prof2.append(sit_smos[yi,xi])\n",
+ " \n",
+ "Prof1a=array(Prof1)\n",
+ "Prof2a=array(Prof2)\n",
+ "plot(lat_prof,Prof1a,label='MODIS')\n",
+ "plot(lat_prof,Prof2a,label='SMOS')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 281,
+ "id": "5e59931a",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Results are stored temporarly in the variables\n",
+ "lat_prof_20120506=lat_prof\n",
+ "pmod_20120506=Prof1a\n",
+ "psmos_20120506=Prof2a"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 290,
+ "id": "0240a5b2",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "lat_prof_20120508=lat_prof\n",
+ "pmod_20120508=Prof1a\n",
+ "psmos_20120508=Prof2a"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 299,
+ "id": "b35bbbca",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "lat_prof_20120422=lat_prof\n",
+ "pmod_20120422=Prof1a\n",
+ "psmos_20120422=Prof2a"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 339,
+ "id": "106406c5",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/javascript": [
+ "/* Put everything inside the global mpl namespace */\n",
+ "/* global mpl */\n",
+ "window.mpl = {};\n",
+ "\n",
+ "mpl.get_websocket_type = function () {\n",
+ " if (typeof WebSocket !== 'undefined') {\n",
+ " return WebSocket;\n",
+ " } else if (typeof MozWebSocket !== 'undefined') {\n",
+ " return MozWebSocket;\n",
+ " } else {\n",
+ " alert(\n",
+ " 'Your browser does not have WebSocket support. ' +\n",
+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+ " 'Firefox 4 and 5 are also supported but you ' +\n",
+ " 'have to enable WebSockets in about:config.'\n",
+ " );\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
+ " this.id = figure_id;\n",
+ "\n",
+ " this.ws = websocket;\n",
+ "\n",
+ " this.supports_binary = this.ws.binaryType !== undefined;\n",
+ "\n",
+ " if (!this.supports_binary) {\n",
+ " var warnings = document.getElementById('mpl-warnings');\n",
+ " if (warnings) {\n",
+ " warnings.style.display = 'block';\n",
+ " warnings.textContent =\n",
+ " 'This browser does not support binary websocket messages. ' +\n",
+ " 'Performance may be slow.';\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " this.imageObj = new Image();\n",
+ "\n",
+ " this.context = undefined;\n",
+ " this.message = undefined;\n",
+ " this.canvas = undefined;\n",
+ " this.rubberband_canvas = undefined;\n",
+ " this.rubberband_context = undefined;\n",
+ " this.format_dropdown = undefined;\n",
+ "\n",
+ " this.image_mode = 'full';\n",
+ "\n",
+ " this.root = document.createElement('div');\n",
+ " this.root.setAttribute('style', 'display: inline-block');\n",
+ " this._root_extra_style(this.root);\n",
+ "\n",
+ " parent_element.appendChild(this.root);\n",
+ "\n",
+ " this._init_header(this);\n",
+ " this._init_canvas(this);\n",
+ " this._init_toolbar(this);\n",
+ "\n",
+ " var fig = this;\n",
+ "\n",
+ " this.waiting = false;\n",
+ "\n",
+ " this.ws.onopen = function () {\n",
+ " fig.send_message('supports_binary', { value: fig.supports_binary });\n",
+ " fig.send_message('send_image_mode', {});\n",
+ " if (fig.ratio !== 1) {\n",
+ " fig.send_message('set_device_pixel_ratio', {\n",
+ " device_pixel_ratio: fig.ratio,\n",
+ " });\n",
+ " }\n",
+ " fig.send_message('refresh', {});\n",
+ " };\n",
+ "\n",
+ " this.imageObj.onload = function () {\n",
+ " if (fig.image_mode === 'full') {\n",
+ " // Full images could contain transparency (where diff images\n",
+ " // almost always do), so we need to clear the canvas so that\n",
+ " // there is no ghosting.\n",
+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+ " }\n",
+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
+ " };\n",
+ "\n",
+ " this.imageObj.onunload = function () {\n",
+ " fig.ws.close();\n",
+ " };\n",
+ "\n",
+ " this.ws.onmessage = this._make_on_message_function(this);\n",
+ "\n",
+ " this.ondownload = ondownload;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._init_header = function () {\n",
+ " var titlebar = document.createElement('div');\n",
+ " titlebar.classList =\n",
+ " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
+ " var titletext = document.createElement('div');\n",
+ " titletext.classList = 'ui-dialog-title';\n",
+ " titletext.setAttribute(\n",
+ " 'style',\n",
+ " 'width: 100%; text-align: center; padding: 3px;'\n",
+ " );\n",
+ " titlebar.appendChild(titletext);\n",
+ " this.root.appendChild(titlebar);\n",
+ " this.header = titletext;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
+ "\n",
+ "mpl.figure.prototype._init_canvas = function () {\n",
+ " var fig = this;\n",
+ "\n",
+ " var canvas_div = (this.canvas_div = document.createElement('div'));\n",
+ " canvas_div.setAttribute('tabindex', '0');\n",
+ " canvas_div.setAttribute(\n",
+ " 'style',\n",
+ " 'border: 1px solid #ddd;' +\n",
+ " 'box-sizing: content-box;' +\n",
+ " 'clear: both;' +\n",
+ " 'min-height: 1px;' +\n",
+ " 'min-width: 1px;' +\n",
+ " 'outline: 0;' +\n",
+ " 'overflow: hidden;' +\n",
+ " 'position: relative;' +\n",
+ " 'resize: both;' +\n",
+ " 'z-index: 2;'\n",
+ " );\n",
+ "\n",
+ " function on_keyboard_event_closure(name) {\n",
+ " return function (event) {\n",
+ " return fig.key_event(event, name);\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " canvas_div.addEventListener(\n",
+ " 'keydown',\n",
+ " on_keyboard_event_closure('key_press')\n",
+ " );\n",
+ " canvas_div.addEventListener(\n",
+ " 'keyup',\n",
+ " on_keyboard_event_closure('key_release')\n",
+ " );\n",
+ "\n",
+ " this._canvas_extra_style(canvas_div);\n",
+ " this.root.appendChild(canvas_div);\n",
+ "\n",
+ " var canvas = (this.canvas = document.createElement('canvas'));\n",
+ " canvas.classList.add('mpl-canvas');\n",
+ " canvas.setAttribute(\n",
+ " 'style',\n",
+ " 'box-sizing: content-box;' +\n",
+ " 'pointer-events: none;' +\n",
+ " 'position: relative;' +\n",
+ " 'z-index: 0;'\n",
+ " );\n",
+ "\n",
+ " this.context = canvas.getContext('2d');\n",
+ "\n",
+ " var backingStore =\n",
+ " this.context.backingStorePixelRatio ||\n",
+ " this.context.webkitBackingStorePixelRatio ||\n",
+ " this.context.mozBackingStorePixelRatio ||\n",
+ " this.context.msBackingStorePixelRatio ||\n",
+ " this.context.oBackingStorePixelRatio ||\n",
+ " this.context.backingStorePixelRatio ||\n",
+ " 1;\n",
+ "\n",
+ " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+ "\n",
+ " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
+ " 'canvas'\n",
+ " ));\n",
+ " rubberband_canvas.setAttribute(\n",
+ " 'style',\n",
+ " 'box-sizing: content-box;' +\n",
+ " 'left: 0;' +\n",
+ " 'pointer-events: none;' +\n",
+ " 'position: absolute;' +\n",
+ " 'top: 0;' +\n",
+ " 'z-index: 1;'\n",
+ " );\n",
+ "\n",
+ " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
+ " if (this.ResizeObserver === undefined) {\n",
+ " if (window.ResizeObserver !== undefined) {\n",
+ " this.ResizeObserver = window.ResizeObserver;\n",
+ " } else {\n",
+ " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
+ " this.ResizeObserver = obs.ResizeObserver;\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
+ " var nentries = entries.length;\n",
+ " for (var i = 0; i < nentries; i++) {\n",
+ " var entry = entries[i];\n",
+ " var width, height;\n",
+ " if (entry.contentBoxSize) {\n",
+ " if (entry.contentBoxSize instanceof Array) {\n",
+ " // Chrome 84 implements new version of spec.\n",
+ " width = entry.contentBoxSize[0].inlineSize;\n",
+ " height = entry.contentBoxSize[0].blockSize;\n",
+ " } else {\n",
+ " // Firefox implements old version of spec.\n",
+ " width = entry.contentBoxSize.inlineSize;\n",
+ " height = entry.contentBoxSize.blockSize;\n",
+ " }\n",
+ " } else {\n",
+ " // Chrome <84 implements even older version of spec.\n",
+ " width = entry.contentRect.width;\n",
+ " height = entry.contentRect.height;\n",
+ " }\n",
+ "\n",
+ " // Keep the size of the canvas and rubber band canvas in sync with\n",
+ " // the canvas container.\n",
+ " if (entry.devicePixelContentBoxSize) {\n",
+ " // Chrome 84 implements new version of spec.\n",
+ " canvas.setAttribute(\n",
+ " 'width',\n",
+ " entry.devicePixelContentBoxSize[0].inlineSize\n",
+ " );\n",
+ " canvas.setAttribute(\n",
+ " 'height',\n",
+ " entry.devicePixelContentBoxSize[0].blockSize\n",
+ " );\n",
+ " } else {\n",
+ " canvas.setAttribute('width', width * fig.ratio);\n",
+ " canvas.setAttribute('height', height * fig.ratio);\n",
+ " }\n",
+ " /* This rescales the canvas back to display pixels, so that it\n",
+ " * appears correct on HiDPI screens. */\n",
+ " canvas.style.width = width + 'px';\n",
+ " canvas.style.height = height + 'px';\n",
+ "\n",
+ " rubberband_canvas.setAttribute('width', width);\n",
+ " rubberband_canvas.setAttribute('height', height);\n",
+ "\n",
+ " // And update the size in Python. We ignore the initial 0/0 size\n",
+ " // that occurs as the element is placed into the DOM, which should\n",
+ " // otherwise not happen due to the minimum size styling.\n",
+ " if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
+ " fig.request_resize(width, height);\n",
+ " }\n",
+ " }\n",
+ " });\n",
+ " this.resizeObserverInstance.observe(canvas_div);\n",
+ "\n",
+ " function on_mouse_event_closure(name) {\n",
+ " /* User Agent sniffing is bad, but WebKit is busted:\n",
+ " * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
+ " * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
+ " * The worst that happens here is that they get an extra browser\n",
+ " * selection when dragging, if this check fails to catch them.\n",
+ " */\n",
+ " var UA = navigator.userAgent;\n",
+ " var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
+ " if(isWebKit) {\n",
+ " return function (event) {\n",
+ " /* This prevents the web browser from automatically changing to\n",
+ " * the text insertion cursor when the button is pressed. We\n",
+ " * want to control all of the cursor setting manually through\n",
+ " * the 'cursor' event from matplotlib */\n",
+ " event.preventDefault()\n",
+ " return fig.mouse_event(event, name);\n",
+ " };\n",
+ " } else {\n",
+ " return function (event) {\n",
+ " return fig.mouse_event(event, name);\n",
+ " };\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " canvas_div.addEventListener(\n",
+ " 'mousedown',\n",
+ " on_mouse_event_closure('button_press')\n",
+ " );\n",
+ " canvas_div.addEventListener(\n",
+ " 'mouseup',\n",
+ " on_mouse_event_closure('button_release')\n",
+ " );\n",
+ " canvas_div.addEventListener(\n",
+ " 'dblclick',\n",
+ " on_mouse_event_closure('dblclick')\n",
+ " );\n",
+ " // Throttle sequential mouse events to 1 every 20ms.\n",
+ " canvas_div.addEventListener(\n",
+ " 'mousemove',\n",
+ " on_mouse_event_closure('motion_notify')\n",
+ " );\n",
+ "\n",
+ " canvas_div.addEventListener(\n",
+ " 'mouseenter',\n",
+ " on_mouse_event_closure('figure_enter')\n",
+ " );\n",
+ " canvas_div.addEventListener(\n",
+ " 'mouseleave',\n",
+ " on_mouse_event_closure('figure_leave')\n",
+ " );\n",
+ "\n",
+ " canvas_div.addEventListener('wheel', function (event) {\n",
+ " if (event.deltaY < 0) {\n",
+ " event.step = 1;\n",
+ " } else {\n",
+ " event.step = -1;\n",
+ " }\n",
+ " on_mouse_event_closure('scroll')(event);\n",
+ " });\n",
+ "\n",
+ " canvas_div.appendChild(canvas);\n",
+ " canvas_div.appendChild(rubberband_canvas);\n",
+ "\n",
+ " this.rubberband_context = rubberband_canvas.getContext('2d');\n",
+ " this.rubberband_context.strokeStyle = '#000000';\n",
+ "\n",
+ " this._resize_canvas = function (width, height, forward) {\n",
+ " if (forward) {\n",
+ " canvas_div.style.width = width + 'px';\n",
+ " canvas_div.style.height = height + 'px';\n",
+ " }\n",
+ " };\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " canvas_div.addEventListener('contextmenu', function (_e) {\n",
+ " event.preventDefault();\n",
+ " return false;\n",
+ " });\n",
+ "\n",
+ " function set_focus() {\n",
+ " canvas.focus();\n",
+ " canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " window.setTimeout(set_focus, 100);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function () {\n",
+ " var fig = this;\n",
+ "\n",
+ " var toolbar = document.createElement('div');\n",
+ " toolbar.classList = 'mpl-toolbar';\n",
+ " this.root.appendChild(toolbar);\n",
+ "\n",
+ " function on_click_closure(name) {\n",
+ " return function (_event) {\n",
+ " return fig.toolbar_button_onclick(name);\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " function on_mouseover_closure(tooltip) {\n",
+ " return function (event) {\n",
+ " if (!event.currentTarget.disabled) {\n",
+ " return fig.toolbar_button_onmouseover(tooltip);\n",
+ " }\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " fig.buttons = {};\n",
+ " var buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'mpl-button-group';\n",
+ " for (var toolbar_ind in mpl.toolbar_items) {\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) {\n",
+ " /* Instead of a spacer, we start a new button group. */\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ " buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'mpl-button-group';\n",
+ " continue;\n",
+ " }\n",
+ "\n",
+ " var button = (fig.buttons[name] = document.createElement('button'));\n",
+ " button.classList = 'mpl-widget';\n",
+ " button.setAttribute('role', 'button');\n",
+ " button.setAttribute('aria-disabled', 'false');\n",
+ " button.addEventListener('click', on_click_closure(method_name));\n",
+ " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
+ "\n",
+ " var icon_img = document.createElement('img');\n",
+ " icon_img.src = '_images/' + image + '.png';\n",
+ " icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
+ " icon_img.alt = tooltip;\n",
+ " button.appendChild(icon_img);\n",
+ "\n",
+ " buttonGroup.appendChild(button);\n",
+ " }\n",
+ "\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker = document.createElement('select');\n",
+ " fmt_picker.classList = 'mpl-widget';\n",
+ " toolbar.appendChild(fmt_picker);\n",
+ " this.format_dropdown = fmt_picker;\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = document.createElement('option');\n",
+ " option.selected = fmt === mpl.default_extension;\n",
+ " option.innerHTML = fmt;\n",
+ " fmt_picker.appendChild(option);\n",
+ " }\n",
+ "\n",
+ " var status_bar = document.createElement('span');\n",
+ " status_bar.classList = 'mpl-message';\n",
+ " toolbar.appendChild(status_bar);\n",
+ " this.message = status_bar;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+ " // which will in turn request a refresh of the image.\n",
+ " this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.send_message = function (type, properties) {\n",
+ " properties['type'] = type;\n",
+ " properties['figure_id'] = this.id;\n",
+ " this.ws.send(JSON.stringify(properties));\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.send_draw_message = function () {\n",
+ " if (!this.waiting) {\n",
+ " this.waiting = true;\n",
+ " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
+ " var format_dropdown = fig.format_dropdown;\n",
+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+ " fig.ondownload(fig, format);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
+ " var size = msg['size'];\n",
+ " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
+ " fig._resize_canvas(size[0], size[1], msg['forward']);\n",
+ " fig.send_message('refresh', {});\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
+ " var x0 = msg['x0'] / fig.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
+ " var x1 = msg['x1'] / fig.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
+ " x0 = Math.floor(x0) + 0.5;\n",
+ " y0 = Math.floor(y0) + 0.5;\n",
+ " x1 = Math.floor(x1) + 0.5;\n",
+ " y1 = Math.floor(y1) + 0.5;\n",
+ " var min_x = Math.min(x0, x1);\n",
+ " var min_y = Math.min(y0, y1);\n",
+ " var width = Math.abs(x1 - x0);\n",
+ " var height = Math.abs(y1 - y0);\n",
+ "\n",
+ " fig.rubberband_context.clearRect(\n",
+ " 0,\n",
+ " 0,\n",
+ " fig.canvas.width / fig.ratio,\n",
+ " fig.canvas.height / fig.ratio\n",
+ " );\n",
+ "\n",
+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
+ " // Updates the figure title.\n",
+ " fig.header.textContent = msg['label'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
+ " fig.canvas_div.style.cursor = msg['cursor'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
+ " fig.message.textContent = msg['message'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
+ " // Request the server to send over a new figure.\n",
+ " fig.send_draw_message();\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
+ " fig.image_mode = msg['mode'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
+ " for (var key in msg) {\n",
+ " if (!(key in fig.buttons)) {\n",
+ " continue;\n",
+ " }\n",
+ " fig.buttons[key].disabled = !msg[key];\n",
+ " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
+ " if (msg['mode'] === 'PAN') {\n",
+ " fig.buttons['Pan'].classList.add('active');\n",
+ " fig.buttons['Zoom'].classList.remove('active');\n",
+ " } else if (msg['mode'] === 'ZOOM') {\n",
+ " fig.buttons['Pan'].classList.remove('active');\n",
+ " fig.buttons['Zoom'].classList.add('active');\n",
+ " } else {\n",
+ " fig.buttons['Pan'].classList.remove('active');\n",
+ " fig.buttons['Zoom'].classList.remove('active');\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function () {\n",
+ " // Called whenever the canvas gets updated.\n",
+ " this.send_message('ack', {});\n",
+ "};\n",
+ "\n",
+ "// A function to construct a web socket function for onmessage handling.\n",
+ "// Called in the figure constructor.\n",
+ "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
+ " return function socket_on_message(evt) {\n",
+ " if (evt.data instanceof Blob) {\n",
+ " var img = evt.data;\n",
+ " if (img.type !== 'image/png') {\n",
+ " /* FIXME: We get \"Resource interpreted as Image but\n",
+ " * transferred with MIME type text/plain:\" errors on\n",
+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
+ " * to be part of the websocket stream */\n",
+ " img.type = 'image/png';\n",
+ " }\n",
+ "\n",
+ " /* Free the memory for the previous frames */\n",
+ " if (fig.imageObj.src) {\n",
+ " (window.URL || window.webkitURL).revokeObjectURL(\n",
+ " fig.imageObj.src\n",
+ " );\n",
+ " }\n",
+ "\n",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " img\n",
+ " );\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " } else if (\n",
+ " typeof evt.data === 'string' &&\n",
+ " evt.data.slice(0, 21) === 'data:image/png;base64'\n",
+ " ) {\n",
+ " fig.imageObj.src = evt.data;\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var msg = JSON.parse(evt.data);\n",
+ " var msg_type = msg['type'];\n",
+ "\n",
+ " // Call the \"handle_{type}\" callback, which takes\n",
+ " // the figure and JSON message as its only arguments.\n",
+ " try {\n",
+ " var callback = fig['handle_' + msg_type];\n",
+ " } catch (e) {\n",
+ " console.log(\n",
+ " \"No handler for the '\" + msg_type + \"' message type: \",\n",
+ " msg\n",
+ " );\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " if (callback) {\n",
+ " try {\n",
+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+ " callback(fig, msg);\n",
+ " } catch (e) {\n",
+ " console.log(\n",
+ " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
+ " e,\n",
+ " e.stack,\n",
+ " msg\n",
+ " );\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "};\n",
+ "\n",
+ "\n",
+ "/*\n",
+ " * return a copy of an object with only non-object keys\n",
+ " * we need this to avoid circular references\n",
+ " * https://stackoverflow.com/a/24161582/3208463\n",
+ " */\n",
+ "function simpleKeys(original) {\n",
+ " return Object.keys(original).reduce(function (obj, key) {\n",
+ " if (typeof original[key] !== 'object') {\n",
+ " obj[key] = original[key];\n",
+ " }\n",
+ " return obj;\n",
+ " }, {});\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.mouse_event = function (event, name) {\n",
+ " if (name === 'button_press') {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " // from https://stackoverflow.com/q/1114465\n",
+ " var boundingRect = this.canvas.getBoundingClientRect();\n",
+ " var x = (event.clientX - boundingRect.left) * this.ratio;\n",
+ " var y = (event.clientY - boundingRect.top) * this.ratio;\n",
+ "\n",
+ " this.send_message(name, {\n",
+ " x: x,\n",
+ " y: y,\n",
+ " button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event),\n",
+ " });\n",
+ "\n",
+ " return false;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
+ " // Handle any extra behaviour associated with a key event\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.key_event = function (event, name) {\n",
+ " // Prevent repeat events\n",
+ " if (name === 'key_press') {\n",
+ " if (event.key === this._key) {\n",
+ " return;\n",
+ " } else {\n",
+ " this._key = event.key;\n",
+ " }\n",
+ " }\n",
+ " if (name === 'key_release') {\n",
+ " this._key = null;\n",
+ " }\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.key !== 'Control') {\n",
+ " value += 'ctrl+';\n",
+ " }\n",
+ " else if (event.altKey && event.key !== 'Alt') {\n",
+ " value += 'alt+';\n",
+ " }\n",
+ " else if (event.shiftKey && event.key !== 'Shift') {\n",
+ " value += 'shift+';\n",
+ " }\n",
+ "\n",
+ " value += 'k' + event.key;\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
+ " return false;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
+ " if (name === 'download') {\n",
+ " this.handle_save(this, null);\n",
+ " } else {\n",
+ " this.send_message('toolbar_button', { name: name });\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
+ " this.message.textContent = tooltip;\n",
+ "};\n",
+ "\n",
+ "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
+ "// prettier-ignore\n",
+ "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";/* global mpl */\n",
+ "\n",
+ "var comm_websocket_adapter = function (comm) {\n",
+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
+ " // object with the appropriate methods. Currently this is a non binary\n",
+ " // socket, so there is still some room for performance tuning.\n",
+ " var ws = {};\n",
+ "\n",
+ " ws.binaryType = comm.kernel.ws.binaryType;\n",
+ " ws.readyState = comm.kernel.ws.readyState;\n",
+ " function updateReadyState(_event) {\n",
+ " if (comm.kernel.ws) {\n",
+ " ws.readyState = comm.kernel.ws.readyState;\n",
+ " } else {\n",
+ " ws.readyState = 3; // Closed state.\n",
+ " }\n",
+ " }\n",
+ " comm.kernel.ws.addEventListener('open', updateReadyState);\n",
+ " comm.kernel.ws.addEventListener('close', updateReadyState);\n",
+ " comm.kernel.ws.addEventListener('error', updateReadyState);\n",
+ "\n",
+ " ws.close = function () {\n",
+ " comm.close();\n",
+ " };\n",
+ " ws.send = function (m) {\n",
+ " //console.log('sending', m);\n",
+ " comm.send(m);\n",
+ " };\n",
+ " // Register the callback with on_msg.\n",
+ " comm.on_msg(function (msg) {\n",
+ " //console.log('receiving', msg['content']['data'], msg);\n",
+ " var data = msg['content']['data'];\n",
+ " if (data['blob'] !== undefined) {\n",
+ " data = {\n",
+ " data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
+ " };\n",
+ " }\n",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(data);\n",
+ " });\n",
+ " return ws;\n",
+ "};\n",
+ "\n",
+ "mpl.mpl_figure_comm = function (comm, msg) {\n",
+ " // This is the function which gets called when the mpl process\n",
+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+ "\n",
+ " var id = msg.content.data.id;\n",
+ " // Get hold of the div created by the display call when the Comm\n",
+ " // socket was opened in Python.\n",
+ " var element = document.getElementById(id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm);\n",
+ "\n",
+ " function ondownload(figure, _format) {\n",
+ " window.open(figure.canvas.toDataURL());\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
+ "\n",
+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+ " // web socket which is closed, not our websocket->open comm proxy.\n",
+ " ws_proxy.onopen();\n",
+ "\n",
+ " fig.parent_element = element;\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error('Failed to find cell for figure', id, fig);\n",
+ " return;\n",
+ " }\n",
+ " fig.cell_info[0].output_area.element.on(\n",
+ " 'cleared',\n",
+ " { fig: fig },\n",
+ " fig._remove_fig_handler\n",
+ " );\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
+ " var width = fig.canvas.width / fig.ratio;\n",
+ " fig.cell_info[0].output_area.element.off(\n",
+ " 'cleared',\n",
+ " fig._remove_fig_handler\n",
+ " );\n",
+ " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
+ "\n",
+ " // Update the output cell to use the data from the current canvas.\n",
+ " fig.push_to_output();\n",
+ " var dataURL = fig.canvas.toDataURL();\n",
+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+ " // the notebook keyboard shortcuts fail.\n",
+ " IPython.keyboard_manager.enable();\n",
+ " fig.parent_element.innerHTML =\n",
+ " '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+ " fig.close_ws(fig, msg);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
+ " fig.send_message('closing', msg);\n",
+ " // fig.ws.close()\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
+ " // Turn the data on the canvas into data in the output cell.\n",
+ " var width = this.canvas.width / this.ratio;\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] =\n",
+ " '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function () {\n",
+ " // Tell IPython that the notebook contents must change.\n",
+ " IPython.notebook.set_dirty(true);\n",
+ " this.send_message('ack', {});\n",
+ " var fig = this;\n",
+ " // Wait a second, then push the new image to the DOM so\n",
+ " // that it is saved nicely (might be nice to debounce this).\n",
+ " setTimeout(function () {\n",
+ " fig.push_to_output();\n",
+ " }, 1000);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function () {\n",
+ " var fig = this;\n",
+ "\n",
+ " var toolbar = document.createElement('div');\n",
+ " toolbar.classList = 'btn-toolbar';\n",
+ " this.root.appendChild(toolbar);\n",
+ "\n",
+ " function on_click_closure(name) {\n",
+ " return function (_event) {\n",
+ " return fig.toolbar_button_onclick(name);\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " function on_mouseover_closure(tooltip) {\n",
+ " return function (event) {\n",
+ " if (!event.currentTarget.disabled) {\n",
+ " return fig.toolbar_button_onmouseover(tooltip);\n",
+ " }\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " fig.buttons = {};\n",
+ " var buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'btn-group';\n",
+ " var button;\n",
+ " for (var toolbar_ind in mpl.toolbar_items) {\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) {\n",
+ " /* Instead of a spacer, we start a new button group. */\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ " buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'btn-group';\n",
+ " continue;\n",
+ " }\n",
+ "\n",
+ " button = fig.buttons[name] = document.createElement('button');\n",
+ " button.classList = 'btn btn-default';\n",
+ " button.href = '#';\n",
+ " button.title = name;\n",
+ " button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
+ " button.addEventListener('click', on_click_closure(method_name));\n",
+ " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
+ " buttonGroup.appendChild(button);\n",
+ " }\n",
+ "\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = document.createElement('span');\n",
+ " status_bar.classList = 'mpl-message pull-right';\n",
+ " toolbar.appendChild(status_bar);\n",
+ " this.message = status_bar;\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = document.createElement('div');\n",
+ " buttongrp.classList = 'btn-group inline pull-right';\n",
+ " button = document.createElement('button');\n",
+ " button.classList = 'btn btn-mini btn-primary';\n",
+ " button.href = '#';\n",
+ " button.title = 'Stop Interaction';\n",
+ " button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
+ " button.addEventListener('click', function (_evt) {\n",
+ " fig.handle_close(fig, {});\n",
+ " });\n",
+ " button.addEventListener(\n",
+ " 'mouseover',\n",
+ " on_mouseover_closure('Stop Interaction')\n",
+ " );\n",
+ " buttongrp.appendChild(button);\n",
+ " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
+ " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
+ " var fig = event.data.fig;\n",
+ " if (event.target !== this) {\n",
+ " // Ignore bubbled events from children.\n",
+ " return;\n",
+ " }\n",
+ " fig.close_ws(fig, {});\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function (el) {\n",
+ " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
+ " // this is important to make the div 'focusable\n",
+ " el.setAttribute('tabindex', 0);\n",
+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
+ " // off when our div gets focus\n",
+ "\n",
+ " // location in version 3\n",
+ " if (IPython.notebook.keyboard_manager) {\n",
+ " IPython.notebook.keyboard_manager.register_events(el);\n",
+ " } else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which === 13) {\n",
+ " this.canvas_div.blur();\n",
+ " // select the cell after this one\n",
+ " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+ " IPython.notebook.select(index + 1);\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "};\n",
+ "\n",
+ "mpl.find_output_cell = function (html_output) {\n",
+ " // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+ " // IPython event is triggered only after the cells have been serialised, which for\n",
+ " // our purposes (turning an active figure into a static one), is too late.\n",
+ " var cells = IPython.notebook.get_cells();\n",
+ " var ncells = cells.length;\n",
+ " for (var i = 0; i < ncells; i++) {\n",
+ " var cell = cells[i];\n",
+ " if (cell.cell_type === 'code') {\n",
+ " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
+ " var data = cell.output_area.outputs[j];\n",
+ " if (data.data) {\n",
+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
+ " data = data.data;\n",
+ " }\n",
+ " if (data['text/html'] === html_output) {\n",
+ " return [cell, data, j];\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "// Register the function which deals with the matplotlib target/channel.\n",
+ "// The kernel may be null if the page has been refreshed.\n",
+ "if (IPython.notebook.kernel !== null) {\n",
+ " IPython.notebook.kernel.comm_manager.register_target(\n",
+ " 'matplotlib',\n",
+ " mpl.mpl_figure_comm\n",
+ " );\n",
+ "}\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Javascript object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
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\" width=\"639.9999861283738\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "\n",
+ "plot(lat_prof_20120422,pmod_20120422,label='MODIS 2012-04-23',c=\"k\",ls=\"-\")\n",
+ "plot(lat_prof_20120506,pmod_20120506,label='MODIS 2012-05-06',c=\"k\",ls=\"-\",alpha=0.6)\n",
+ "plot(lat_prof_20120508,pmod_20120508,label='MODIS 2012-05-08',c=\"k\",ls=\"-\",alpha=0.3)\n",
+ "\n",
+ "plot(lat_prof_20120422,psmos_20120422,label='SMOS 2012-04-23',c=\"b\",ls=\"-.\")\n",
+ "plot(lat_prof_20120506,psmos_20120506,label='SMOS 2012-05-06',c=\"b\",ls=\"-.\",alpha=0.6)\n",
+ "plot(lat_prof_20120508,psmos_20120508,label='SMOS 2012-05-08',c=\"b\",ls=\"-.\",alpha=0.3)\n",
+ "\n",
+ "\n",
+ "legend()\n",
+ "ylabel('Sea ice thickness [m]')\n",
+ "ylim([0,0.5])\n",
+ "xlim([-78,-76.5])\n",
+ "xlabel('Latitude [°]')\n",
+ "savefig('Profiles_MODIS_SMOS.pdf')\n",
+ "savefig('Profiles_MODIS_SMOS.png')\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 342,
+ "id": "9bb98ec4",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "N: 43\n",
+ "Mean VAL, SMOS: 0.13 +- 0.04 , 0.21 +- 0.07\n",
+ "Mean difference SMOS-VAL: 0.086\n",
+ "RMSD VAL-SMOS: 0.10\n",
+ "R: 0.81 R^2: 0.66\n"
+ ]
+ }
+ ],
+ "source": [
+ "def standard_metric(x,y):\n",
+ " \"\"\"x VALIDATION y SMOS\"\"\"\n",
+ " slope, intercept, r_value, p_value, std_err = stats.linregress(x, y)\n",
+ " #print(\"slope: %f intercept: %f\" % (slope, intercept))\n",
+ " #print(\"Std err: %f\" % std_err)\n",
+ " print(\"N: \",len(x))\n",
+ " print(\"Mean VAL, SMOS: %1.2f +- %1.2f , %1.2f +- %1.2f\" % (mean(x),std(x),mean(y),std(y)))\n",
+ " md=np.mean(y-x)\n",
+ " print(\"Mean difference SMOS-VAL: %1.3f\" % md)\n",
+ " rmsd=mean_squared_error(x,y,squared=False)\n",
+ " print(\"RMSD VAL-SMOS: %1.2f\" % rmsd)\n",
+ " print(\"R: %1.2f R^2: %1.2f\" % (r_value,r_value**2))\n",
+ "\n",
+ "xtest=pmod_20120422\n",
+ "ytest=psmos_20120422\n",
+ "\n",
+ "ind_test=isfinite(xtest)\n",
+ "xtest=xtest[ind_test]\n",
+ "ytest=ytest[ind_test]\n",
+ "\n",
+ "standard_metric(xtest,ytest)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 343,
+ "id": "ed39972e",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "N: 44\n",
+ "Mean VAL, SMOS: 0.15 +- 0.02 , 0.22 +- 0.04\n",
+ "Mean difference SMOS-VAL: 0.069\n",
+ "RMSD VAL-SMOS: 0.07\n",
+ "R: 0.95 R^2: 0.91\n"
+ ]
+ }
+ ],
+ "source": [
+ "xtest=pmod_20120506\n",
+ "ytest=psmos_20120506\n",
+ "\n",
+ "ind_test=isfinite(xtest)\n",
+ "xtest=xtest[ind_test]\n",
+ "ytest=ytest[ind_test]\n",
+ "\n",
+ "standard_metric(xtest,ytest)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 344,
+ "id": "a9775cf5",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "N: 46\n",
+ "Mean VAL, SMOS: 0.19 +- 0.03 , 0.28 +- 0.02\n",
+ "Mean difference SMOS-VAL: 0.094\n",
+ "RMSD VAL-SMOS: 0.10\n",
+ "R: 0.82 R^2: 0.67\n"
+ ]
+ }
+ ],
+ "source": [
+ "xtest=pmod_20120508\n",
+ "ytest=psmos_20120508\n",
+ "\n",
+ "ind_test=isfinite(xtest)\n",
+ "xtest=xtest[ind_test]\n",
+ "ytest=ytest[ind_test]\n",
+ "\n",
+ "standard_metric(xtest,ytest)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 335,
+ "id": "14fdf5a3",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "fn_smos='/isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south/2012/04/SMOS_Icethickness_v3.3_south_20120423.nc'\n",
+ "#fn_smos='/isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south/2012/04/SMOS_Icethickness_v3.3_south_20120424.nc'\n",
+ "#fn_smos='/isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south/2012/05/SMOS_Icethickness_v3.3_south_20120508.nc'\n",
+ "fn_smos='/isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south/2012/05/SMOS_Icethickness_v3.3_south_20120506.nc'\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 322,
+ "id": "5fa9934e",
+ "metadata": {},
+ "outputs": [
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+ "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n",
+ "Dimensions: (time: 1, x: 632, y: 664)\n",
+ "Coordinates:\n",
+ " * time (time) datetime64[ns] 2012-05-05T12:00:00\n",
+ " * x (x) float32 -3.944e+03 -3.931e+03 ... 3.944e+03\n",
+ " * y (y) float32 -3.944e+03 -3.931e+03 ... 4.344e+03\n",
+ " latitude (y, x) float32 -41.51 -41.58 ... -39.36 -39.3\n",
+ " longitude (y, x) float32 -135.0 -135.1 ... 42.15 42.24\n",
+ "Data variables:\n",
+ " sea_ice_thickness (time, y, x) float32 ...\n",
+ " ice_thickness_uncertainty (time, y, x) float32 ...\n",
+ " saturation_ratio (time, y, x) float32 ...\n",
+ " TB (time, y, x) float32 ...\n",
+ " TB_uncertainty (time, y, x) float32 ...\n",
+ " Tsurf (time, y, x) float32 ...\n",
+ " Sice (time, y, x) float32 ...\n",
+ " nPair (time, y, x) float32 ...\n",
+ " RFI_ratio (time, y, x) float32 ...\n",
+ " land (time, y, x) int8 ...\n",
+ "Attributes: (12/34)\n",
+ " title: Daily gridded sea-ice thickness and auxiliary ...\n",
+ " project: CS2SMOS PDS CR-1: SMOS Sea Ice Data Product Pr...\n",
+ " institution: Alfred-Wegener-Institut Helmholtz Zentrum fuer...\n",
+ " contributor_name: Xiangshan Tian-Kunze (AWI), Lars Kaleschke (AW...\n",
+ " platform: ESA Soil Moisture and Ocean Salinity (SMOS) mi...\n",
+ " sensor: Microwave Imaging Radiometer using Aperture Sy...\n",
+ " ... ...\n",
+ " time_coverage_duration: P1D\n",
+ " time_coverage_resolution: P1D\n",
+ " references: (1) Kaleschke, L., X. Tian-Kunze, N. Maass, M....\n",
+ " publisher_email: cs2smos-support@awi.de\n",
+ " summary: This dataset contains Level-3 daily sea ice th...\n",
+ " keywords: Earth Science > Cryosphere > Sea Ice > Ice Dep...</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-26bc7ccf-c400-481f-aab7-807aa09666c2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-26bc7ccf-c400-481f-aab7-807aa09666c2' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>x</span>: 632</li><li><span class='xr-has-index'>y</span>: 664</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9e539df2-b03f-438f-95c5-cfadb34fba08' class='xr-section-summary-in' type='checkbox' checked><label for='section-9e539df2-b03f-438f-95c5-cfadb34fba08' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2012-05-05T12:00:00</div><input id='attrs-c5558c7b-05ff-42a8-88b1-68a26c45b22b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c5558c7b-05ff-42a8-88b1-68a26c45b22b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8fb1da6f-edc5-4959-85cf-eab881f01520' class='xr-var-data-in' type='checkbox'><label for='data-8fb1da6f-edc5-4959-85cf-eab881f01520' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(['2012-05-05T12:00:00.000000000'], dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-3.944e+03 -3.931e+03 ... 3.944e+03</div><input id='attrs-ea0da61c-1be8-4439-b93f-91ce8e4b1b6a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea0da61c-1be8-4439-b93f-91ce8e4b1b6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-052b4851-e286-42bb-8c4d-b1655a4ccb12' class='xr-var-data-in' type='checkbox'><label for='data-052b4851-e286-42bb-8c4d-b1655a4ccb12' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>units :</span></dt><dd>km</dd><dt><span>grid_spacing :</span></dt><dd>12.5 km</dd></dl></div><div class='xr-var-data'><pre>array([-3943.75, -3931.25, -3918.75, ..., 3918.75, 3931.25, 3943.75],\n",
+ " dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-3.944e+03 -3.931e+03 ... 4.344e+03</div><input id='attrs-21f91e96-3aab-4f93-a069-be7a4fd4078c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21f91e96-3aab-4f93-a069-be7a4fd4078c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af7a5267-d253-4b5b-b7e3-889deaf1bac8' class='xr-var-data-in' type='checkbox'><label for='data-af7a5267-d253-4b5b-b7e3-889deaf1bac8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>units :</span></dt><dd>km</dd><dt><span>grid_spacing :</span></dt><dd>12.5 km</dd></dl></div><div class='xr-var-data'><pre>array([-3943.75, -3931.25, -3918.75, ..., 4318.75, 4331.25, 4343.75],\n",
+ " dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-41.51 -41.58 ... -39.36 -39.3</div><input id='attrs-358793e4-adf0-42ae-963a-791ffb4f4987' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-358793e4-adf0-42ae-963a-791ffb4f4987' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a94753b4-7b65-4218-b7e8-a46d9d14ca48' class='xr-var-data-in' type='checkbox'><label for='data-a94753b4-7b65-4218-b7e8-a46d9d14ca48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude coordinate</dd></dl></div><div class='xr-var-data'><pre>array([[-41.51427 , -41.58248 , -41.65062 , ..., -41.65062 , -41.58248 ,\n",
+ " -41.51427 ],\n",
+ " [-41.58248 , -41.650837, -41.71912 , ..., -41.71912 , -41.650837,\n",
+ " -41.58248 ],\n",
+ " [-41.65062 , -41.71912 , -41.787548, ..., -41.787548, -41.71912 ,\n",
+ " -41.65062 ],\n",
+ " ...,\n",
+ " [-39.43726 , -39.50125 , -39.565166, ..., -39.565166, -39.50125 ,\n",
+ " -39.43726 ],\n",
+ " [-39.367115, -39.43097 , -39.494747, ..., -39.494747, -39.43097 ,\n",
+ " -39.367115],\n",
+ " [-39.296913, -39.360634, -39.424274, ..., -39.424274, -39.360634,\n",
+ " -39.296913]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-135.0 -135.1 ... 42.15 42.24</div><input id='attrs-e292a4ec-5eed-4fd1-9079-57ae3612c83e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e292a4ec-5eed-4fd1-9079-57ae3612c83e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d118949-fd51-4333-a451-7f8e61066672' class='xr-var-data-in' type='checkbox'><label for='data-4d118949-fd51-4333-a451-7f8e61066672' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude coordinate</dd></dl></div><div class='xr-var-data'><pre>array([[-135. , -135.09094 , -135.18217 , ..., 135.18217 , 135.09094 ,\n",
+ " 135. ],\n",
+ " [-134.90906 , -135. , -135.09123 , ..., 135.09123 , 135. ,\n",
+ " 134.90906 ],\n",
+ " [-134.81783 , -134.90877 , -135. , ..., 135. , 134.90877 ,\n",
+ " 134.81783 ],\n",
+ " ...,\n",
+ " [ -42.40137 , -42.31081 , -42.21999 , ..., 42.21999 , 42.31081 ,\n",
+ " 42.40137 ],\n",
+ " [ -42.318924, -42.22839 , -42.137596, ..., 42.137596, 42.22839 ,\n",
+ " 42.318924],\n",
+ " [ -42.236736, -42.14623 , -42.055458, ..., 42.055458, 42.14623 ,\n",
+ " 42.236736]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5e064c4e-320c-43c4-ae17-c456e1bcb921' class='xr-section-summary-in' type='checkbox' checked><label for='section-5e064c4e-320c-43c4-ae17-c456e1bcb921' class='xr-section-summary' >Data variables: <span>(10)</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>sea_ice_thickness</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-856db469-a20c-44a8-a70a-ef24a28d3540' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-856db469-a20c-44a8-a70a-ef24a28d3540' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-481958cc-3027-4b1b-bcca-f031363f3f08' class='xr-var-data-in' type='checkbox'><label for='data-481958cc-3027-4b1b-bcca-f031363f3f08' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea ice thickness</dd><dt><span>long_name :</span></dt><dd>SMOS sea ice thickness</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[419648 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice_thickness_uncertainty</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-942ab883-8850-41de-b8a2-0f1a96aad0c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-942ab883-8850-41de-b8a2-0f1a96aad0c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54e264d3-df9b-4fda-97be-e76eadec9547' class='xr-var-data-in' type='checkbox'><label for='data-54e264d3-df9b-4fda-97be-e76eadec9547' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea ice thickness total uncertainty</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[419648 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>saturation_ratio</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8d845aaa-0863-4a30-a632-5f552bd3ac5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d845aaa-0863-4a30-a632-5f552bd3ac5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ac0f0be-c48b-4aec-92e8-0ac34711852f' class='xr-var-data-in' type='checkbox'><label for='data-0ac0f0be-c48b-4aec-92e8-0ac34711852f' title='Show/Hide data repr'><svg 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>ratio of retrieved ice thickness and maximal retrievable ice thickness </dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><pre>[419648 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TB</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f73ca7ed-f0da-4a14-860a-f2af2e64183f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f73ca7ed-f0da-4a14-860a-f2af2e64183f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0250b7c6-87ef-4375-a95b-b15e6fded33e' class='xr-var-data-in' type='checkbox'><label for='data-0250b7c6-87ef-4375-a95b-b15e6fded33e' title='Show/Hide data repr'><svg 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>brightness temperature intensity (TBh+TBv)/2 </dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[419648 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TB_uncertainty</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9662cc2e-f663-4c66-bb19-0bb0968f52ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9662cc2e-f663-4c66-bb19-0bb0968f52ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b1af2e2-ef89-4fcc-ade5-2b782c25d06d' class='xr-var-data-in' type='checkbox'><label for='data-1b1af2e2-ef89-4fcc-ade5-2b782c25d06d' title='Show/Hide data repr'><svg 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>brightness temperature uncertainty defined as one standard deviation of TB devided by the sqrt(nPair)</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[419648 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tsurf</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a17b2038-198c-4600-a2ae-be651e3cdda3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a17b2038-198c-4600-a2ae-be651e3cdda3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f769741c-5401-43de-ab1b-f9f33e60f987' class='xr-var-data-in' type='checkbox'><label for='data-f769741c-5401-43de-ab1b-f9f33e60f987' title='Show/Hide data repr'><svg 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>SMOS derived snow surface temperature </dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[419648 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sice</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4101f15b-0aef-46af-830b-8504e78a0ea4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4101f15b-0aef-46af-830b-8504e78a0ea4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2eb27e9e-a911-4ffe-97c7-6533c6925aa5' class='xr-var-data-in' type='checkbox'><label for='data-2eb27e9e-a911-4ffe-97c7-6533c6925aa5' title='Show/Hide data repr'><svg 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>Bulk ice salinity </dd><dt><span>units :</span></dt><dd>psu</dd></dl></div><div class='xr-var-data'><pre>[419648 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nPair</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9cb3601f-be76-4703-9655-2af13f4c904e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9cb3601f-be76-4703-9655-2af13f4c904e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b28e4d0a-4bbf-4eb9-b401-9cd0a6788bbe' class='xr-var-data-in' type='checkbox'><label for='data-b28e4d0a-4bbf-4eb9-b401-9cd0a6788bbe' title='Show/Hide data repr'><svg 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>number of TBh and TBv pairs available</dd></dl></div><div class='xr-var-data'><pre>[419648 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RFI_ratio</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5bf2dd1d-5053-4f14-93cc-ea953de1d866' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5bf2dd1d-5053-4f14-93cc-ea953de1d866' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7132fb7-f7c0-4bc5-b374-6ed48dae7095' class='xr-var-data-in' type='checkbox'><label for='data-d7132fb7-f7c0-4bc5-b374-6ed48dae7095' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>percent</dd><dt><span>long_name :</span></dt><dd>percent of RFI-contaminated measurements in total measurements</dd></dl></div><div class='xr-var-data'><pre>[419648 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>land</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9e873c7b-1021-4f92-8f84-f98c37b5f99b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e873c7b-1021-4f92-8f84-f98c37b5f99b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-550b859c-0efd-4556-b447-702bc9f98332' class='xr-var-data-in' type='checkbox'><label for='data-550b859c-0efd-4556-b447-702bc9f98332' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>land_binary_mask</dd><dt><span>long_name :</span></dt><dd>land_mask</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_range :</span></dt><dd>[0 1]</dd></dl></div><div class='xr-var-data'><pre>[419648 values with dtype=int8]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7973ec4b-7218-44ac-8dca-0987e3d49d66' class='xr-section-summary-in' type='checkbox' ><label for='section-7973ec4b-7218-44ac-8dca-0987e3d49d66' class='xr-section-summary' >Attributes: <span>(34)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>Daily gridded sea-ice thickness and auxiliary parameters from satellite L-band radiometry data</dd><dt><span>project :</span></dt><dd>CS2SMOS PDS CR-1: SMOS Sea Ice Data Product Processing and Dissemination Tasks, supported by ESA</dd><dt><span>institution :</span></dt><dd>Alfred-Wegener-Institut Helmholtz Zentrum fuer Polar und Meeresforschung (AWI), http://www.awi.de</dd><dt><span>contributor_name :</span></dt><dd>Xiangshan Tian-Kunze (AWI), Lars Kaleschke (AWI), Stefan Hendricks (AWI)</dd><dt><span>platform :</span></dt><dd>ESA Soil Moisture and Ocean Salinity (SMOS) mission</dd><dt><span>sensor :</span></dt><dd>Microwave Imaging Radiometer using Aperture Synthesis (MIRAS)</dd><dt><span>source :</span></dt><dd>SMOS v724 L1C brightness temperature</dd><dt><span>product_version :</span></dt><dd>3.3</dd><dt><span>processing_level :</span></dt><dd>l3c</dd><dt><span>grid :</span></dt><dd>NSIDC polar stereographic projection. https://nsidc.org/data/polar-stereo/ps_grids.html </dd><dt><span>tracking_id :</span></dt><dd>0f21080d-da91-4611-9bfa-b59061bc8749</dd><dt><span>naming_authority :</span></dt><dd>de.awi</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>history :</span></dt><dd>Product generated with SMOS sea ice thickness retrieval Algorithm v3.3</dd><dt><span>topiccategory :</span></dt><dd>Oceans Climatology Meteorology Atmosphere</dd><dt><span>id :</span></dt><dd>SMOS_Icethickness_v3.3_south_20120505</dd><dt><span>doi :</span></dt><dd>None</dd><dt><span>date_created :</span></dt><dd>Wed Jan 19 12:58:52 2022</dd><dt><span>geospatial_lat_min :</span></dt><dd>-90.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>-50.0</dd><dt><span>geospatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>180.0</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_max :</span></dt><dd>0.0</dd><dt><span>spatial_resolution :</span></dt><dd>12.5 km grid spacing</dd><dt><span>geospatial_bounds_crs :</span></dt><dd>EPSG:3976</dd><dt><span>time_coverage_start :</span></dt><dd>2012-05-05T00:00:00</dd><dt><span>time_coverage_end :</span></dt><dd>2012-05-05T23:59:59</dd><dt><span>time_coverage_duration :</span></dt><dd>P1D</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1D</dd><dt><span>references :</span></dt><dd>(1) Kaleschke, L., X. Tian-Kunze, N. Maass, M. Maekynen, and M. Drusch (2012), Sea ice thickness retrieval from SMOS brightness temperatures during the Arctic freeze-up period, Geophys. Res. Lett., 39, L05501, doi:10.1029/2012GL050916. (2) Tian-Kunze, X., Kaleschke, L., Maass, N., Maekynen, M., Serra, N., Drusch, M., and Krumpen, T., SMOS-derived sea ice thickness: algorithm baseline, product specifications and initial verification, The Cryosphere, 8, 997-1018, doi:10.5194/tc-8-997-2014, 2014 (3) Kaleschke, L., Tian-Kunze, X., Maass, N., Beitsch, A., Wernecke, A., Miernecki, M. and others, SMOS sea ice product: operational application and validation in the Barents Sea marginal ice zone, Remote Sensing of Environment 180 (2016), 264-273. doi: 10.1016/j.rse.2016.03.009 (4) Tietsche, S., Alonso-Balmaseda, M., Rosnay, P., Zuo, H., Tian-Kunze, X., and Kaleschke, L.: Thin Arctic sea ice in L-band observations and an ocean reanalysis, The Cryosphere, 12, 2051-2072, https://doi.org/10.5194/tc-12-2051-2018, 2018.</dd><dt><span>publisher_email :</span></dt><dd>cs2smos-support@awi.de</dd><dt><span>summary :</span></dt><dd>This dataset contains Level-3 daily sea ice thickness products from satellite observations in the southern hemisphere. Southern hemisphere sea ice thickness data is limited to the months between February and October. 100% sea ice coverage is assumed, which leads to underestimation of sea ice thickness.</dd><dt><span>keywords :</span></dt><dd>Earth Science > Cryosphere > Sea Ice > Ice Depth/Thickness, Earth Science > Climate Indicators > Cryospheric Indicators > Ice Depth/Thickness, Geographic Region > Southern Hemisphere, Vertical Location > Sea Surface, Institutions > AWI > Alfred Wegener Institute for Polar and Marine Research</dd></dl></div></li></ul></div></div>"
+ ],
+ "text/plain": [
+ "<xarray.Dataset>\n",
+ "Dimensions: (time: 1, x: 632, y: 664)\n",
+ "Coordinates:\n",
+ " * time (time) datetime64[ns] 2012-05-05T12:00:00\n",
+ " * x (x) float32 -3.944e+03 -3.931e+03 ... 3.944e+03\n",
+ " * y (y) float32 -3.944e+03 -3.931e+03 ... 4.344e+03\n",
+ " latitude (y, x) float32 -41.51 -41.58 ... -39.36 -39.3\n",
+ " longitude (y, x) float32 -135.0 -135.1 ... 42.15 42.24\n",
+ "Data variables:\n",
+ " sea_ice_thickness (time, y, x) float32 ...\n",
+ " ice_thickness_uncertainty (time, y, x) float32 ...\n",
+ " saturation_ratio (time, y, x) float32 ...\n",
+ " TB (time, y, x) float32 ...\n",
+ " TB_uncertainty (time, y, x) float32 ...\n",
+ " Tsurf (time, y, x) float32 ...\n",
+ " Sice (time, y, x) float32 ...\n",
+ " nPair (time, y, x) float32 ...\n",
+ " RFI_ratio (time, y, x) float32 ...\n",
+ " land (time, y, x) int8 ...\n",
+ "Attributes: (12/34)\n",
+ " title: Daily gridded sea-ice thickness and auxiliary ...\n",
+ " project: CS2SMOS PDS CR-1: SMOS Sea Ice Data Product Pr...\n",
+ " institution: Alfred-Wegener-Institut Helmholtz Zentrum fuer...\n",
+ " contributor_name: Xiangshan Tian-Kunze (AWI), Lars Kaleschke (AW...\n",
+ " platform: ESA Soil Moisture and Ocean Salinity (SMOS) mi...\n",
+ " sensor: Microwave Imaging Radiometer using Aperture Sy...\n",
+ " ... ...\n",
+ " time_coverage_duration: P1D\n",
+ " time_coverage_resolution: P1D\n",
+ " references: (1) Kaleschke, L., X. Tian-Kunze, N. Maass, M....\n",
+ " publisher_email: cs2smos-support@awi.de\n",
+ " summary: This dataset contains Level-3 daily sea ice th...\n",
+ " keywords: Earth Science > Cryosphere > Sea Ice > Ice Dep..."
+ ]
+ },
+ "execution_count": 322,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "xa_smos=xr.open_dataset(fn_smos)\n",
+ "sit_smos=ma.masked_invalid(xa_smos.sea_ice_thickness[0,:,:])\n",
+ "lat_smos=array(xa_smos.latitude)\n",
+ "lon_smos=array(xa_smos.longitude)\n",
+ "xa_smos"
+ ]
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+ {
+ "cell_type": "code",
+ "execution_count": 337,
+ "id": "1e7eec3e",
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+ " buttonGroup.classList = 'mpl-button-group';\n",
+ " for (var toolbar_ind in mpl.toolbar_items) {\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) {\n",
+ " /* Instead of a spacer, we start a new button group. */\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ " buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'mpl-button-group';\n",
+ " continue;\n",
+ " }\n",
+ "\n",
+ " var button = (fig.buttons[name] = document.createElement('button'));\n",
+ " button.classList = 'mpl-widget';\n",
+ " button.setAttribute('role', 'button');\n",
+ " button.setAttribute('aria-disabled', 'false');\n",
+ " button.addEventListener('click', on_click_closure(method_name));\n",
+ " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
+ "\n",
+ " var icon_img = document.createElement('img');\n",
+ " icon_img.src = '_images/' + image + '.png';\n",
+ " icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
+ " icon_img.alt = tooltip;\n",
+ " button.appendChild(icon_img);\n",
+ "\n",
+ " buttonGroup.appendChild(button);\n",
+ " }\n",
+ "\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker = document.createElement('select');\n",
+ " fmt_picker.classList = 'mpl-widget';\n",
+ " toolbar.appendChild(fmt_picker);\n",
+ " this.format_dropdown = fmt_picker;\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = document.createElement('option');\n",
+ " option.selected = fmt === mpl.default_extension;\n",
+ " option.innerHTML = fmt;\n",
+ " fmt_picker.appendChild(option);\n",
+ " }\n",
+ "\n",
+ " var status_bar = document.createElement('span');\n",
+ " status_bar.classList = 'mpl-message';\n",
+ " toolbar.appendChild(status_bar);\n",
+ " this.message = status_bar;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+ " // which will in turn request a refresh of the image.\n",
+ " this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.send_message = function (type, properties) {\n",
+ " properties['type'] = type;\n",
+ " properties['figure_id'] = this.id;\n",
+ " this.ws.send(JSON.stringify(properties));\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.send_draw_message = function () {\n",
+ " if (!this.waiting) {\n",
+ " this.waiting = true;\n",
+ " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
+ " var format_dropdown = fig.format_dropdown;\n",
+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+ " fig.ondownload(fig, format);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
+ " var size = msg['size'];\n",
+ " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
+ " fig._resize_canvas(size[0], size[1], msg['forward']);\n",
+ " fig.send_message('refresh', {});\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
+ " var x0 = msg['x0'] / fig.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
+ " var x1 = msg['x1'] / fig.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
+ " x0 = Math.floor(x0) + 0.5;\n",
+ " y0 = Math.floor(y0) + 0.5;\n",
+ " x1 = Math.floor(x1) + 0.5;\n",
+ " y1 = Math.floor(y1) + 0.5;\n",
+ " var min_x = Math.min(x0, x1);\n",
+ " var min_y = Math.min(y0, y1);\n",
+ " var width = Math.abs(x1 - x0);\n",
+ " var height = Math.abs(y1 - y0);\n",
+ "\n",
+ " fig.rubberband_context.clearRect(\n",
+ " 0,\n",
+ " 0,\n",
+ " fig.canvas.width / fig.ratio,\n",
+ " fig.canvas.height / fig.ratio\n",
+ " );\n",
+ "\n",
+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
+ " // Updates the figure title.\n",
+ " fig.header.textContent = msg['label'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
+ " fig.canvas_div.style.cursor = msg['cursor'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
+ " fig.message.textContent = msg['message'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
+ " // Request the server to send over a new figure.\n",
+ " fig.send_draw_message();\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
+ " fig.image_mode = msg['mode'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
+ " for (var key in msg) {\n",
+ " if (!(key in fig.buttons)) {\n",
+ " continue;\n",
+ " }\n",
+ " fig.buttons[key].disabled = !msg[key];\n",
+ " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
+ " if (msg['mode'] === 'PAN') {\n",
+ " fig.buttons['Pan'].classList.add('active');\n",
+ " fig.buttons['Zoom'].classList.remove('active');\n",
+ " } else if (msg['mode'] === 'ZOOM') {\n",
+ " fig.buttons['Pan'].classList.remove('active');\n",
+ " fig.buttons['Zoom'].classList.add('active');\n",
+ " } else {\n",
+ " fig.buttons['Pan'].classList.remove('active');\n",
+ " fig.buttons['Zoom'].classList.remove('active');\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function () {\n",
+ " // Called whenever the canvas gets updated.\n",
+ " this.send_message('ack', {});\n",
+ "};\n",
+ "\n",
+ "// A function to construct a web socket function for onmessage handling.\n",
+ "// Called in the figure constructor.\n",
+ "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
+ " return function socket_on_message(evt) {\n",
+ " if (evt.data instanceof Blob) {\n",
+ " var img = evt.data;\n",
+ " if (img.type !== 'image/png') {\n",
+ " /* FIXME: We get \"Resource interpreted as Image but\n",
+ " * transferred with MIME type text/plain:\" errors on\n",
+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
+ " * to be part of the websocket stream */\n",
+ " img.type = 'image/png';\n",
+ " }\n",
+ "\n",
+ " /* Free the memory for the previous frames */\n",
+ " if (fig.imageObj.src) {\n",
+ " (window.URL || window.webkitURL).revokeObjectURL(\n",
+ " fig.imageObj.src\n",
+ " );\n",
+ " }\n",
+ "\n",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " img\n",
+ " );\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " } else if (\n",
+ " typeof evt.data === 'string' &&\n",
+ " evt.data.slice(0, 21) === 'data:image/png;base64'\n",
+ " ) {\n",
+ " fig.imageObj.src = evt.data;\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var msg = JSON.parse(evt.data);\n",
+ " var msg_type = msg['type'];\n",
+ "\n",
+ " // Call the \"handle_{type}\" callback, which takes\n",
+ " // the figure and JSON message as its only arguments.\n",
+ " try {\n",
+ " var callback = fig['handle_' + msg_type];\n",
+ " } catch (e) {\n",
+ " console.log(\n",
+ " \"No handler for the '\" + msg_type + \"' message type: \",\n",
+ " msg\n",
+ " );\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " if (callback) {\n",
+ " try {\n",
+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+ " callback(fig, msg);\n",
+ " } catch (e) {\n",
+ " console.log(\n",
+ " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
+ " e,\n",
+ " e.stack,\n",
+ " msg\n",
+ " );\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "};\n",
+ "\n",
+ "\n",
+ "/*\n",
+ " * return a copy of an object with only non-object keys\n",
+ " * we need this to avoid circular references\n",
+ " * https://stackoverflow.com/a/24161582/3208463\n",
+ " */\n",
+ "function simpleKeys(original) {\n",
+ " return Object.keys(original).reduce(function (obj, key) {\n",
+ " if (typeof original[key] !== 'object') {\n",
+ " obj[key] = original[key];\n",
+ " }\n",
+ " return obj;\n",
+ " }, {});\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.mouse_event = function (event, name) {\n",
+ " if (name === 'button_press') {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " // from https://stackoverflow.com/q/1114465\n",
+ " var boundingRect = this.canvas.getBoundingClientRect();\n",
+ " var x = (event.clientX - boundingRect.left) * this.ratio;\n",
+ " var y = (event.clientY - boundingRect.top) * this.ratio;\n",
+ "\n",
+ " this.send_message(name, {\n",
+ " x: x,\n",
+ " y: y,\n",
+ " button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event),\n",
+ " });\n",
+ "\n",
+ " return false;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
+ " // Handle any extra behaviour associated with a key event\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.key_event = function (event, name) {\n",
+ " // Prevent repeat events\n",
+ " if (name === 'key_press') {\n",
+ " if (event.key === this._key) {\n",
+ " return;\n",
+ " } else {\n",
+ " this._key = event.key;\n",
+ " }\n",
+ " }\n",
+ " if (name === 'key_release') {\n",
+ " this._key = null;\n",
+ " }\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.key !== 'Control') {\n",
+ " value += 'ctrl+';\n",
+ " }\n",
+ " else if (event.altKey && event.key !== 'Alt') {\n",
+ " value += 'alt+';\n",
+ " }\n",
+ " else if (event.shiftKey && event.key !== 'Shift') {\n",
+ " value += 'shift+';\n",
+ " }\n",
+ "\n",
+ " value += 'k' + event.key;\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
+ " return false;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
+ " if (name === 'download') {\n",
+ " this.handle_save(this, null);\n",
+ " } else {\n",
+ " this.send_message('toolbar_button', { name: name });\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
+ " this.message.textContent = tooltip;\n",
+ "};\n",
+ "\n",
+ "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
+ "// prettier-ignore\n",
+ "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";/* global mpl */\n",
+ "\n",
+ "var comm_websocket_adapter = function (comm) {\n",
+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
+ " // object with the appropriate methods. Currently this is a non binary\n",
+ " // socket, so there is still some room for performance tuning.\n",
+ " var ws = {};\n",
+ "\n",
+ " ws.binaryType = comm.kernel.ws.binaryType;\n",
+ " ws.readyState = comm.kernel.ws.readyState;\n",
+ " function updateReadyState(_event) {\n",
+ " if (comm.kernel.ws) {\n",
+ " ws.readyState = comm.kernel.ws.readyState;\n",
+ " } else {\n",
+ " ws.readyState = 3; // Closed state.\n",
+ " }\n",
+ " }\n",
+ " comm.kernel.ws.addEventListener('open', updateReadyState);\n",
+ " comm.kernel.ws.addEventListener('close', updateReadyState);\n",
+ " comm.kernel.ws.addEventListener('error', updateReadyState);\n",
+ "\n",
+ " ws.close = function () {\n",
+ " comm.close();\n",
+ " };\n",
+ " ws.send = function (m) {\n",
+ " //console.log('sending', m);\n",
+ " comm.send(m);\n",
+ " };\n",
+ " // Register the callback with on_msg.\n",
+ " comm.on_msg(function (msg) {\n",
+ " //console.log('receiving', msg['content']['data'], msg);\n",
+ " var data = msg['content']['data'];\n",
+ " if (data['blob'] !== undefined) {\n",
+ " data = {\n",
+ " data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
+ " };\n",
+ " }\n",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(data);\n",
+ " });\n",
+ " return ws;\n",
+ "};\n",
+ "\n",
+ "mpl.mpl_figure_comm = function (comm, msg) {\n",
+ " // This is the function which gets called when the mpl process\n",
+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+ "\n",
+ " var id = msg.content.data.id;\n",
+ " // Get hold of the div created by the display call when the Comm\n",
+ " // socket was opened in Python.\n",
+ " var element = document.getElementById(id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm);\n",
+ "\n",
+ " function ondownload(figure, _format) {\n",
+ " window.open(figure.canvas.toDataURL());\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
+ "\n",
+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+ " // web socket which is closed, not our websocket->open comm proxy.\n",
+ " ws_proxy.onopen();\n",
+ "\n",
+ " fig.parent_element = element;\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error('Failed to find cell for figure', id, fig);\n",
+ " return;\n",
+ " }\n",
+ " fig.cell_info[0].output_area.element.on(\n",
+ " 'cleared',\n",
+ " { fig: fig },\n",
+ " fig._remove_fig_handler\n",
+ " );\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
+ " var width = fig.canvas.width / fig.ratio;\n",
+ " fig.cell_info[0].output_area.element.off(\n",
+ " 'cleared',\n",
+ " fig._remove_fig_handler\n",
+ " );\n",
+ " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
+ "\n",
+ " // Update the output cell to use the data from the current canvas.\n",
+ " fig.push_to_output();\n",
+ " var dataURL = fig.canvas.toDataURL();\n",
+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+ " // the notebook keyboard shortcuts fail.\n",
+ " IPython.keyboard_manager.enable();\n",
+ " fig.parent_element.innerHTML =\n",
+ " '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+ " fig.close_ws(fig, msg);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
+ " fig.send_message('closing', msg);\n",
+ " // fig.ws.close()\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
+ " // Turn the data on the canvas into data in the output cell.\n",
+ " var width = this.canvas.width / this.ratio;\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] =\n",
+ " '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function () {\n",
+ " // Tell IPython that the notebook contents must change.\n",
+ " IPython.notebook.set_dirty(true);\n",
+ " this.send_message('ack', {});\n",
+ " var fig = this;\n",
+ " // Wait a second, then push the new image to the DOM so\n",
+ " // that it is saved nicely (might be nice to debounce this).\n",
+ " setTimeout(function () {\n",
+ " fig.push_to_output();\n",
+ " }, 1000);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function () {\n",
+ " var fig = this;\n",
+ "\n",
+ " var toolbar = document.createElement('div');\n",
+ " toolbar.classList = 'btn-toolbar';\n",
+ " this.root.appendChild(toolbar);\n",
+ "\n",
+ " function on_click_closure(name) {\n",
+ " return function (_event) {\n",
+ " return fig.toolbar_button_onclick(name);\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " function on_mouseover_closure(tooltip) {\n",
+ " return function (event) {\n",
+ " if (!event.currentTarget.disabled) {\n",
+ " return fig.toolbar_button_onmouseover(tooltip);\n",
+ " }\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " fig.buttons = {};\n",
+ " var buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'btn-group';\n",
+ " var button;\n",
+ " for (var toolbar_ind in mpl.toolbar_items) {\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) {\n",
+ " /* Instead of a spacer, we start a new button group. */\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ " buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'btn-group';\n",
+ " continue;\n",
+ " }\n",
+ "\n",
+ " button = fig.buttons[name] = document.createElement('button');\n",
+ " button.classList = 'btn btn-default';\n",
+ " button.href = '#';\n",
+ " button.title = name;\n",
+ " button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
+ " button.addEventListener('click', on_click_closure(method_name));\n",
+ " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
+ " buttonGroup.appendChild(button);\n",
+ " }\n",
+ "\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = document.createElement('span');\n",
+ " status_bar.classList = 'mpl-message pull-right';\n",
+ " toolbar.appendChild(status_bar);\n",
+ " this.message = status_bar;\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = document.createElement('div');\n",
+ " buttongrp.classList = 'btn-group inline pull-right';\n",
+ " button = document.createElement('button');\n",
+ " button.classList = 'btn btn-mini btn-primary';\n",
+ " button.href = '#';\n",
+ " button.title = 'Stop Interaction';\n",
+ " button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
+ " button.addEventListener('click', function (_evt) {\n",
+ " fig.handle_close(fig, {});\n",
+ " });\n",
+ " button.addEventListener(\n",
+ " 'mouseover',\n",
+ " on_mouseover_closure('Stop Interaction')\n",
+ " );\n",
+ " buttongrp.appendChild(button);\n",
+ " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
+ " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
+ " var fig = event.data.fig;\n",
+ " if (event.target !== this) {\n",
+ " // Ignore bubbled events from children.\n",
+ " return;\n",
+ " }\n",
+ " fig.close_ws(fig, {});\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function (el) {\n",
+ " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
+ " // this is important to make the div 'focusable\n",
+ " el.setAttribute('tabindex', 0);\n",
+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
+ " // off when our div gets focus\n",
+ "\n",
+ " // location in version 3\n",
+ " if (IPython.notebook.keyboard_manager) {\n",
+ " IPython.notebook.keyboard_manager.register_events(el);\n",
+ " } else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which === 13) {\n",
+ " this.canvas_div.blur();\n",
+ " // select the cell after this one\n",
+ " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+ " IPython.notebook.select(index + 1);\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "};\n",
+ "\n",
+ "mpl.find_output_cell = function (html_output) {\n",
+ " // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+ " // IPython event is triggered only after the cells have been serialised, which for\n",
+ " // our purposes (turning an active figure into a static one), is too late.\n",
+ " var cells = IPython.notebook.get_cells();\n",
+ " var ncells = cells.length;\n",
+ " for (var i = 0; i < ncells; i++) {\n",
+ " var cell = cells[i];\n",
+ " if (cell.cell_type === 'code') {\n",
+ " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
+ " var data = cell.output_area.outputs[j];\n",
+ " if (data.data) {\n",
+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
+ " data = data.data;\n",
+ " }\n",
+ " if (data['text/html'] === html_output) {\n",
+ " return [cell, data, j];\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "// Register the function which deals with the matplotlib target/channel.\n",
+ "// The kernel may be null if the page has been refreshed.\n",
+ "if (IPython.notebook.kernel !== null) {\n",
+ " IPython.notebook.kernel.comm_manager.register_target(\n",
+ " 'matplotlib',\n",
+ " mpl.mpl_figure_comm\n",
+ " );\n",
+ "}\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Javascript object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
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\" width=\"799.9999826604674\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "crs= ccrs.LambertAzimuthalEqualArea(central_longitude=0.0, central_latitude=-90.0)\n",
+ "fig = plt.figure(figsize=(8,8),tight_layout=True)\n",
+ "spec = GridSpec(ncols=16, nrows=3, figure=fig)\n",
+ "ax = fig.add_subplot(spec[0:3,0:15], projection=crs)\n",
+ "ax6 = fig.add_subplot(spec[1:2,15:16])\n",
+ "\n",
+ "cmap2 = plt.cm.tab10 # Discrete for polygons\n",
+ "#cmap=cm.YlOrRd\n",
+ "#cmap=cm.magma_r\n",
+ "vmin,vmax=0,0.5\n",
+ "#label='Sea ice production [m/year]'\n",
+ "label='SMOS Sea ice thickness [m]'\n",
+ "\n",
+ "ax.add_feature(land_50m)\n",
+ "ax.coastlines(resolution='50m',lw=0.2,color='#b0b0b0')\n",
+ "\n",
+ "#ax.set_extent([-180, 180, -90, -55], ccrs.PlateCarree())\n",
+ "\n",
+ "#ax.set_extent([-60, -15, -70, -78], ccrs.PlateCarree()) # Weddell\n",
+ "ax.set_extent([-55, -15, -70, -78], ccrs.PlateCarree()) # Weddell\n",
+ "\n",
+ "\n",
+ "gl=ax.gridlines(draw_labels=True, dms=True, x_inline=False, y_inline=False,linewidth=0.3)\n",
+ "gl.xlocator = mticker.FixedLocator(arange(-180,180,5))\n",
+ "gl.ylocator = mticker.FixedLocator(arange(-90,-50,2))\n",
+ "gl.top_labels = True\n",
+ "gl.right_labels = False\n",
+ "gl.left_labels = True\n",
+ "gl.bottom_labels = False\n",
+ "\n",
+ "\n",
+ "#im=ax.pcolormesh(lon,lat,sic-mask_roi,transform=ccrs.PlateCarree(),cmap=cmap,vmin=vmin,vmax=vmax)\n",
+ "im=ax.pcolormesh(lon_smos,lat_smos,sit_smos,transform=ccrs.PlateCarree(),cmap=cmap,vmin=vmin,vmax=vmax)\n",
+ "\n",
+ "norm = mpl.colors.Normalize(vmin=vmin, vmax=vmax)\n",
+ "colorbar(mpl.cm.ScalarMappable(norm=norm, cmap=cmap),cax=ax6, label=label, extend='max')\n",
+ "\n",
+ "xp1,yp1=crs.transform_point(lon1,lat1, src_crs=ccrs.PlateCarree())\n",
+ "\n",
+ "xp2,yp2=crs.transform_point(lon1,lat2, src_crs=ccrs.PlateCarree())\n",
+ "\n",
+ "Lx=[xp1,xp2]\n",
+ "Ly=[yp1,yp2]\n",
+ "\n",
+ "ax.plot(array(Lx),array(Ly),'r-',alpha=0.5)\n",
+ "tight_layout()\n",
+ "#savefig('SMOS_20120506.png',dpi=300)\n",
+ "#savefig('SMOS_20120506_100.png',dpi=100)\n",
+ "#savefig('SMOS_20120508.png',dpi=300)\n",
+ "#savefig('SMOS_20120508_100.png',dpi=100)\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "53d65eca",
+ "metadata": {},
+ "source": [
+ "## Sea ice surface temperature from SMOS\n",
+ "\n",
+ "Not used for the analysis"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 314,
+ "id": "3837d879",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "Tsurf=xa_smos.Tsurf[0,:,:]-273.15"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 338,
+ "id": "dab07d8e",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/javascript": [
+ "/* Put everything inside the global mpl namespace */\n",
+ "/* global mpl */\n",
+ "window.mpl = {};\n",
+ "\n",
+ "mpl.get_websocket_type = function () {\n",
+ " if (typeof WebSocket !== 'undefined') {\n",
+ " return WebSocket;\n",
+ " } else if (typeof MozWebSocket !== 'undefined') {\n",
+ " return MozWebSocket;\n",
+ " } else {\n",
+ " alert(\n",
+ " 'Your browser does not have WebSocket support. ' +\n",
+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+ " 'Firefox 4 and 5 are also supported but you ' +\n",
+ " 'have to enable WebSockets in about:config.'\n",
+ " );\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
+ " this.id = figure_id;\n",
+ "\n",
+ " this.ws = websocket;\n",
+ "\n",
+ " this.supports_binary = this.ws.binaryType !== undefined;\n",
+ "\n",
+ " if (!this.supports_binary) {\n",
+ " var warnings = document.getElementById('mpl-warnings');\n",
+ " if (warnings) {\n",
+ " warnings.style.display = 'block';\n",
+ " warnings.textContent =\n",
+ " 'This browser does not support binary websocket messages. ' +\n",
+ " 'Performance may be slow.';\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " this.imageObj = new Image();\n",
+ "\n",
+ " this.context = undefined;\n",
+ " this.message = undefined;\n",
+ " this.canvas = undefined;\n",
+ " this.rubberband_canvas = undefined;\n",
+ " this.rubberband_context = undefined;\n",
+ " this.format_dropdown = undefined;\n",
+ "\n",
+ " this.image_mode = 'full';\n",
+ "\n",
+ " this.root = document.createElement('div');\n",
+ " this.root.setAttribute('style', 'display: inline-block');\n",
+ " this._root_extra_style(this.root);\n",
+ "\n",
+ " parent_element.appendChild(this.root);\n",
+ "\n",
+ " this._init_header(this);\n",
+ " this._init_canvas(this);\n",
+ " this._init_toolbar(this);\n",
+ "\n",
+ " var fig = this;\n",
+ "\n",
+ " this.waiting = false;\n",
+ "\n",
+ " this.ws.onopen = function () {\n",
+ " fig.send_message('supports_binary', { value: fig.supports_binary });\n",
+ " fig.send_message('send_image_mode', {});\n",
+ " if (fig.ratio !== 1) {\n",
+ " fig.send_message('set_device_pixel_ratio', {\n",
+ " device_pixel_ratio: fig.ratio,\n",
+ " });\n",
+ " }\n",
+ " fig.send_message('refresh', {});\n",
+ " };\n",
+ "\n",
+ " this.imageObj.onload = function () {\n",
+ " if (fig.image_mode === 'full') {\n",
+ " // Full images could contain transparency (where diff images\n",
+ " // almost always do), so we need to clear the canvas so that\n",
+ " // there is no ghosting.\n",
+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+ " }\n",
+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
+ " };\n",
+ "\n",
+ " this.imageObj.onunload = function () {\n",
+ " fig.ws.close();\n",
+ " };\n",
+ "\n",
+ " this.ws.onmessage = this._make_on_message_function(this);\n",
+ "\n",
+ " this.ondownload = ondownload;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._init_header = function () {\n",
+ " var titlebar = document.createElement('div');\n",
+ " titlebar.classList =\n",
+ " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
+ " var titletext = document.createElement('div');\n",
+ " titletext.classList = 'ui-dialog-title';\n",
+ " titletext.setAttribute(\n",
+ " 'style',\n",
+ " 'width: 100%; text-align: center; padding: 3px;'\n",
+ " );\n",
+ " titlebar.appendChild(titletext);\n",
+ " this.root.appendChild(titlebar);\n",
+ " this.header = titletext;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
+ "\n",
+ "mpl.figure.prototype._init_canvas = function () {\n",
+ " var fig = this;\n",
+ "\n",
+ " var canvas_div = (this.canvas_div = document.createElement('div'));\n",
+ " canvas_div.setAttribute('tabindex', '0');\n",
+ " canvas_div.setAttribute(\n",
+ " 'style',\n",
+ " 'border: 1px solid #ddd;' +\n",
+ " 'box-sizing: content-box;' +\n",
+ " 'clear: both;' +\n",
+ " 'min-height: 1px;' +\n",
+ " 'min-width: 1px;' +\n",
+ " 'outline: 0;' +\n",
+ " 'overflow: hidden;' +\n",
+ " 'position: relative;' +\n",
+ " 'resize: both;' +\n",
+ " 'z-index: 2;'\n",
+ " );\n",
+ "\n",
+ " function on_keyboard_event_closure(name) {\n",
+ " return function (event) {\n",
+ " return fig.key_event(event, name);\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " canvas_div.addEventListener(\n",
+ " 'keydown',\n",
+ " on_keyboard_event_closure('key_press')\n",
+ " );\n",
+ " canvas_div.addEventListener(\n",
+ " 'keyup',\n",
+ " on_keyboard_event_closure('key_release')\n",
+ " );\n",
+ "\n",
+ " this._canvas_extra_style(canvas_div);\n",
+ " this.root.appendChild(canvas_div);\n",
+ "\n",
+ " var canvas = (this.canvas = document.createElement('canvas'));\n",
+ " canvas.classList.add('mpl-canvas');\n",
+ " canvas.setAttribute(\n",
+ " 'style',\n",
+ " 'box-sizing: content-box;' +\n",
+ " 'pointer-events: none;' +\n",
+ " 'position: relative;' +\n",
+ " 'z-index: 0;'\n",
+ " );\n",
+ "\n",
+ " this.context = canvas.getContext('2d');\n",
+ "\n",
+ " var backingStore =\n",
+ " this.context.backingStorePixelRatio ||\n",
+ " this.context.webkitBackingStorePixelRatio ||\n",
+ " this.context.mozBackingStorePixelRatio ||\n",
+ " this.context.msBackingStorePixelRatio ||\n",
+ " this.context.oBackingStorePixelRatio ||\n",
+ " this.context.backingStorePixelRatio ||\n",
+ " 1;\n",
+ "\n",
+ " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+ "\n",
+ " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
+ " 'canvas'\n",
+ " ));\n",
+ " rubberband_canvas.setAttribute(\n",
+ " 'style',\n",
+ " 'box-sizing: content-box;' +\n",
+ " 'left: 0;' +\n",
+ " 'pointer-events: none;' +\n",
+ " 'position: absolute;' +\n",
+ " 'top: 0;' +\n",
+ " 'z-index: 1;'\n",
+ " );\n",
+ "\n",
+ " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
+ " if (this.ResizeObserver === undefined) {\n",
+ " if (window.ResizeObserver !== undefined) {\n",
+ " this.ResizeObserver = window.ResizeObserver;\n",
+ " } else {\n",
+ " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
+ " this.ResizeObserver = obs.ResizeObserver;\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
+ " var nentries = entries.length;\n",
+ " for (var i = 0; i < nentries; i++) {\n",
+ " var entry = entries[i];\n",
+ " var width, height;\n",
+ " if (entry.contentBoxSize) {\n",
+ " if (entry.contentBoxSize instanceof Array) {\n",
+ " // Chrome 84 implements new version of spec.\n",
+ " width = entry.contentBoxSize[0].inlineSize;\n",
+ " height = entry.contentBoxSize[0].blockSize;\n",
+ " } else {\n",
+ " // Firefox implements old version of spec.\n",
+ " width = entry.contentBoxSize.inlineSize;\n",
+ " height = entry.contentBoxSize.blockSize;\n",
+ " }\n",
+ " } else {\n",
+ " // Chrome <84 implements even older version of spec.\n",
+ " width = entry.contentRect.width;\n",
+ " height = entry.contentRect.height;\n",
+ " }\n",
+ "\n",
+ " // Keep the size of the canvas and rubber band canvas in sync with\n",
+ " // the canvas container.\n",
+ " if (entry.devicePixelContentBoxSize) {\n",
+ " // Chrome 84 implements new version of spec.\n",
+ " canvas.setAttribute(\n",
+ " 'width',\n",
+ " entry.devicePixelContentBoxSize[0].inlineSize\n",
+ " );\n",
+ " canvas.setAttribute(\n",
+ " 'height',\n",
+ " entry.devicePixelContentBoxSize[0].blockSize\n",
+ " );\n",
+ " } else {\n",
+ " canvas.setAttribute('width', width * fig.ratio);\n",
+ " canvas.setAttribute('height', height * fig.ratio);\n",
+ " }\n",
+ " /* This rescales the canvas back to display pixels, so that it\n",
+ " * appears correct on HiDPI screens. */\n",
+ " canvas.style.width = width + 'px';\n",
+ " canvas.style.height = height + 'px';\n",
+ "\n",
+ " rubberband_canvas.setAttribute('width', width);\n",
+ " rubberband_canvas.setAttribute('height', height);\n",
+ "\n",
+ " // And update the size in Python. We ignore the initial 0/0 size\n",
+ " // that occurs as the element is placed into the DOM, which should\n",
+ " // otherwise not happen due to the minimum size styling.\n",
+ " if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
+ " fig.request_resize(width, height);\n",
+ " }\n",
+ " }\n",
+ " });\n",
+ " this.resizeObserverInstance.observe(canvas_div);\n",
+ "\n",
+ " function on_mouse_event_closure(name) {\n",
+ " /* User Agent sniffing is bad, but WebKit is busted:\n",
+ " * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
+ " * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
+ " * The worst that happens here is that they get an extra browser\n",
+ " * selection when dragging, if this check fails to catch them.\n",
+ " */\n",
+ " var UA = navigator.userAgent;\n",
+ " var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
+ " if(isWebKit) {\n",
+ " return function (event) {\n",
+ " /* This prevents the web browser from automatically changing to\n",
+ " * the text insertion cursor when the button is pressed. We\n",
+ " * want to control all of the cursor setting manually through\n",
+ " * the 'cursor' event from matplotlib */\n",
+ " event.preventDefault()\n",
+ " return fig.mouse_event(event, name);\n",
+ " };\n",
+ " } else {\n",
+ " return function (event) {\n",
+ " return fig.mouse_event(event, name);\n",
+ " };\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " canvas_div.addEventListener(\n",
+ " 'mousedown',\n",
+ " on_mouse_event_closure('button_press')\n",
+ " );\n",
+ " canvas_div.addEventListener(\n",
+ " 'mouseup',\n",
+ " on_mouse_event_closure('button_release')\n",
+ " );\n",
+ " canvas_div.addEventListener(\n",
+ " 'dblclick',\n",
+ " on_mouse_event_closure('dblclick')\n",
+ " );\n",
+ " // Throttle sequential mouse events to 1 every 20ms.\n",
+ " canvas_div.addEventListener(\n",
+ " 'mousemove',\n",
+ " on_mouse_event_closure('motion_notify')\n",
+ " );\n",
+ "\n",
+ " canvas_div.addEventListener(\n",
+ " 'mouseenter',\n",
+ " on_mouse_event_closure('figure_enter')\n",
+ " );\n",
+ " canvas_div.addEventListener(\n",
+ " 'mouseleave',\n",
+ " on_mouse_event_closure('figure_leave')\n",
+ " );\n",
+ "\n",
+ " canvas_div.addEventListener('wheel', function (event) {\n",
+ " if (event.deltaY < 0) {\n",
+ " event.step = 1;\n",
+ " } else {\n",
+ " event.step = -1;\n",
+ " }\n",
+ " on_mouse_event_closure('scroll')(event);\n",
+ " });\n",
+ "\n",
+ " canvas_div.appendChild(canvas);\n",
+ " canvas_div.appendChild(rubberband_canvas);\n",
+ "\n",
+ " this.rubberband_context = rubberband_canvas.getContext('2d');\n",
+ " this.rubberband_context.strokeStyle = '#000000';\n",
+ "\n",
+ " this._resize_canvas = function (width, height, forward) {\n",
+ " if (forward) {\n",
+ " canvas_div.style.width = width + 'px';\n",
+ " canvas_div.style.height = height + 'px';\n",
+ " }\n",
+ " };\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " canvas_div.addEventListener('contextmenu', function (_e) {\n",
+ " event.preventDefault();\n",
+ " return false;\n",
+ " });\n",
+ "\n",
+ " function set_focus() {\n",
+ " canvas.focus();\n",
+ " canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " window.setTimeout(set_focus, 100);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function () {\n",
+ " var fig = this;\n",
+ "\n",
+ " var toolbar = document.createElement('div');\n",
+ " toolbar.classList = 'mpl-toolbar';\n",
+ " this.root.appendChild(toolbar);\n",
+ "\n",
+ " function on_click_closure(name) {\n",
+ " return function (_event) {\n",
+ " return fig.toolbar_button_onclick(name);\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " function on_mouseover_closure(tooltip) {\n",
+ " return function (event) {\n",
+ " if (!event.currentTarget.disabled) {\n",
+ " return fig.toolbar_button_onmouseover(tooltip);\n",
+ " }\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " fig.buttons = {};\n",
+ " var buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'mpl-button-group';\n",
+ " for (var toolbar_ind in mpl.toolbar_items) {\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) {\n",
+ " /* Instead of a spacer, we start a new button group. */\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ " buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'mpl-button-group';\n",
+ " continue;\n",
+ " }\n",
+ "\n",
+ " var button = (fig.buttons[name] = document.createElement('button'));\n",
+ " button.classList = 'mpl-widget';\n",
+ " button.setAttribute('role', 'button');\n",
+ " button.setAttribute('aria-disabled', 'false');\n",
+ " button.addEventListener('click', on_click_closure(method_name));\n",
+ " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
+ "\n",
+ " var icon_img = document.createElement('img');\n",
+ " icon_img.src = '_images/' + image + '.png';\n",
+ " icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
+ " icon_img.alt = tooltip;\n",
+ " button.appendChild(icon_img);\n",
+ "\n",
+ " buttonGroup.appendChild(button);\n",
+ " }\n",
+ "\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker = document.createElement('select');\n",
+ " fmt_picker.classList = 'mpl-widget';\n",
+ " toolbar.appendChild(fmt_picker);\n",
+ " this.format_dropdown = fmt_picker;\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = document.createElement('option');\n",
+ " option.selected = fmt === mpl.default_extension;\n",
+ " option.innerHTML = fmt;\n",
+ " fmt_picker.appendChild(option);\n",
+ " }\n",
+ "\n",
+ " var status_bar = document.createElement('span');\n",
+ " status_bar.classList = 'mpl-message';\n",
+ " toolbar.appendChild(status_bar);\n",
+ " this.message = status_bar;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+ " // which will in turn request a refresh of the image.\n",
+ " this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.send_message = function (type, properties) {\n",
+ " properties['type'] = type;\n",
+ " properties['figure_id'] = this.id;\n",
+ " this.ws.send(JSON.stringify(properties));\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.send_draw_message = function () {\n",
+ " if (!this.waiting) {\n",
+ " this.waiting = true;\n",
+ " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
+ " var format_dropdown = fig.format_dropdown;\n",
+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+ " fig.ondownload(fig, format);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
+ " var size = msg['size'];\n",
+ " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
+ " fig._resize_canvas(size[0], size[1], msg['forward']);\n",
+ " fig.send_message('refresh', {});\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
+ " var x0 = msg['x0'] / fig.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
+ " var x1 = msg['x1'] / fig.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
+ " x0 = Math.floor(x0) + 0.5;\n",
+ " y0 = Math.floor(y0) + 0.5;\n",
+ " x1 = Math.floor(x1) + 0.5;\n",
+ " y1 = Math.floor(y1) + 0.5;\n",
+ " var min_x = Math.min(x0, x1);\n",
+ " var min_y = Math.min(y0, y1);\n",
+ " var width = Math.abs(x1 - x0);\n",
+ " var height = Math.abs(y1 - y0);\n",
+ "\n",
+ " fig.rubberband_context.clearRect(\n",
+ " 0,\n",
+ " 0,\n",
+ " fig.canvas.width / fig.ratio,\n",
+ " fig.canvas.height / fig.ratio\n",
+ " );\n",
+ "\n",
+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
+ " // Updates the figure title.\n",
+ " fig.header.textContent = msg['label'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
+ " fig.canvas_div.style.cursor = msg['cursor'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
+ " fig.message.textContent = msg['message'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
+ " // Request the server to send over a new figure.\n",
+ " fig.send_draw_message();\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
+ " fig.image_mode = msg['mode'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
+ " for (var key in msg) {\n",
+ " if (!(key in fig.buttons)) {\n",
+ " continue;\n",
+ " }\n",
+ " fig.buttons[key].disabled = !msg[key];\n",
+ " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
+ " if (msg['mode'] === 'PAN') {\n",
+ " fig.buttons['Pan'].classList.add('active');\n",
+ " fig.buttons['Zoom'].classList.remove('active');\n",
+ " } else if (msg['mode'] === 'ZOOM') {\n",
+ " fig.buttons['Pan'].classList.remove('active');\n",
+ " fig.buttons['Zoom'].classList.add('active');\n",
+ " } else {\n",
+ " fig.buttons['Pan'].classList.remove('active');\n",
+ " fig.buttons['Zoom'].classList.remove('active');\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function () {\n",
+ " // Called whenever the canvas gets updated.\n",
+ " this.send_message('ack', {});\n",
+ "};\n",
+ "\n",
+ "// A function to construct a web socket function for onmessage handling.\n",
+ "// Called in the figure constructor.\n",
+ "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
+ " return function socket_on_message(evt) {\n",
+ " if (evt.data instanceof Blob) {\n",
+ " var img = evt.data;\n",
+ " if (img.type !== 'image/png') {\n",
+ " /* FIXME: We get \"Resource interpreted as Image but\n",
+ " * transferred with MIME type text/plain:\" errors on\n",
+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
+ " * to be part of the websocket stream */\n",
+ " img.type = 'image/png';\n",
+ " }\n",
+ "\n",
+ " /* Free the memory for the previous frames */\n",
+ " if (fig.imageObj.src) {\n",
+ " (window.URL || window.webkitURL).revokeObjectURL(\n",
+ " fig.imageObj.src\n",
+ " );\n",
+ " }\n",
+ "\n",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " img\n",
+ " );\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " } else if (\n",
+ " typeof evt.data === 'string' &&\n",
+ " evt.data.slice(0, 21) === 'data:image/png;base64'\n",
+ " ) {\n",
+ " fig.imageObj.src = evt.data;\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var msg = JSON.parse(evt.data);\n",
+ " var msg_type = msg['type'];\n",
+ "\n",
+ " // Call the \"handle_{type}\" callback, which takes\n",
+ " // the figure and JSON message as its only arguments.\n",
+ " try {\n",
+ " var callback = fig['handle_' + msg_type];\n",
+ " } catch (e) {\n",
+ " console.log(\n",
+ " \"No handler for the '\" + msg_type + \"' message type: \",\n",
+ " msg\n",
+ " );\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " if (callback) {\n",
+ " try {\n",
+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+ " callback(fig, msg);\n",
+ " } catch (e) {\n",
+ " console.log(\n",
+ " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
+ " e,\n",
+ " e.stack,\n",
+ " msg\n",
+ " );\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "};\n",
+ "\n",
+ "\n",
+ "/*\n",
+ " * return a copy of an object with only non-object keys\n",
+ " * we need this to avoid circular references\n",
+ " * https://stackoverflow.com/a/24161582/3208463\n",
+ " */\n",
+ "function simpleKeys(original) {\n",
+ " return Object.keys(original).reduce(function (obj, key) {\n",
+ " if (typeof original[key] !== 'object') {\n",
+ " obj[key] = original[key];\n",
+ " }\n",
+ " return obj;\n",
+ " }, {});\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.mouse_event = function (event, name) {\n",
+ " if (name === 'button_press') {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " // from https://stackoverflow.com/q/1114465\n",
+ " var boundingRect = this.canvas.getBoundingClientRect();\n",
+ " var x = (event.clientX - boundingRect.left) * this.ratio;\n",
+ " var y = (event.clientY - boundingRect.top) * this.ratio;\n",
+ "\n",
+ " this.send_message(name, {\n",
+ " x: x,\n",
+ " y: y,\n",
+ " button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event),\n",
+ " });\n",
+ "\n",
+ " return false;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
+ " // Handle any extra behaviour associated with a key event\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.key_event = function (event, name) {\n",
+ " // Prevent repeat events\n",
+ " if (name === 'key_press') {\n",
+ " if (event.key === this._key) {\n",
+ " return;\n",
+ " } else {\n",
+ " this._key = event.key;\n",
+ " }\n",
+ " }\n",
+ " if (name === 'key_release') {\n",
+ " this._key = null;\n",
+ " }\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.key !== 'Control') {\n",
+ " value += 'ctrl+';\n",
+ " }\n",
+ " else if (event.altKey && event.key !== 'Alt') {\n",
+ " value += 'alt+';\n",
+ " }\n",
+ " else if (event.shiftKey && event.key !== 'Shift') {\n",
+ " value += 'shift+';\n",
+ " }\n",
+ "\n",
+ " value += 'k' + event.key;\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
+ " return false;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
+ " if (name === 'download') {\n",
+ " this.handle_save(this, null);\n",
+ " } else {\n",
+ " this.send_message('toolbar_button', { name: name });\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
+ " this.message.textContent = tooltip;\n",
+ "};\n",
+ "\n",
+ "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
+ "// prettier-ignore\n",
+ "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";/* global mpl */\n",
+ "\n",
+ "var comm_websocket_adapter = function (comm) {\n",
+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
+ " // object with the appropriate methods. Currently this is a non binary\n",
+ " // socket, so there is still some room for performance tuning.\n",
+ " var ws = {};\n",
+ "\n",
+ " ws.binaryType = comm.kernel.ws.binaryType;\n",
+ " ws.readyState = comm.kernel.ws.readyState;\n",
+ " function updateReadyState(_event) {\n",
+ " if (comm.kernel.ws) {\n",
+ " ws.readyState = comm.kernel.ws.readyState;\n",
+ " } else {\n",
+ " ws.readyState = 3; // Closed state.\n",
+ " }\n",
+ " }\n",
+ " comm.kernel.ws.addEventListener('open', updateReadyState);\n",
+ " comm.kernel.ws.addEventListener('close', updateReadyState);\n",
+ " comm.kernel.ws.addEventListener('error', updateReadyState);\n",
+ "\n",
+ " ws.close = function () {\n",
+ " comm.close();\n",
+ " };\n",
+ " ws.send = function (m) {\n",
+ " //console.log('sending', m);\n",
+ " comm.send(m);\n",
+ " };\n",
+ " // Register the callback with on_msg.\n",
+ " comm.on_msg(function (msg) {\n",
+ " //console.log('receiving', msg['content']['data'], msg);\n",
+ " var data = msg['content']['data'];\n",
+ " if (data['blob'] !== undefined) {\n",
+ " data = {\n",
+ " data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
+ " };\n",
+ " }\n",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(data);\n",
+ " });\n",
+ " return ws;\n",
+ "};\n",
+ "\n",
+ "mpl.mpl_figure_comm = function (comm, msg) {\n",
+ " // This is the function which gets called when the mpl process\n",
+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+ "\n",
+ " var id = msg.content.data.id;\n",
+ " // Get hold of the div created by the display call when the Comm\n",
+ " // socket was opened in Python.\n",
+ " var element = document.getElementById(id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm);\n",
+ "\n",
+ " function ondownload(figure, _format) {\n",
+ " window.open(figure.canvas.toDataURL());\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
+ "\n",
+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+ " // web socket which is closed, not our websocket->open comm proxy.\n",
+ " ws_proxy.onopen();\n",
+ "\n",
+ " fig.parent_element = element;\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error('Failed to find cell for figure', id, fig);\n",
+ " return;\n",
+ " }\n",
+ " fig.cell_info[0].output_area.element.on(\n",
+ " 'cleared',\n",
+ " { fig: fig },\n",
+ " fig._remove_fig_handler\n",
+ " );\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
+ " var width = fig.canvas.width / fig.ratio;\n",
+ " fig.cell_info[0].output_area.element.off(\n",
+ " 'cleared',\n",
+ " fig._remove_fig_handler\n",
+ " );\n",
+ " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
+ "\n",
+ " // Update the output cell to use the data from the current canvas.\n",
+ " fig.push_to_output();\n",
+ " var dataURL = fig.canvas.toDataURL();\n",
+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+ " // the notebook keyboard shortcuts fail.\n",
+ " IPython.keyboard_manager.enable();\n",
+ " fig.parent_element.innerHTML =\n",
+ " '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+ " fig.close_ws(fig, msg);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
+ " fig.send_message('closing', msg);\n",
+ " // fig.ws.close()\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
+ " // Turn the data on the canvas into data in the output cell.\n",
+ " var width = this.canvas.width / this.ratio;\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] =\n",
+ " '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function () {\n",
+ " // Tell IPython that the notebook contents must change.\n",
+ " IPython.notebook.set_dirty(true);\n",
+ " this.send_message('ack', {});\n",
+ " var fig = this;\n",
+ " // Wait a second, then push the new image to the DOM so\n",
+ " // that it is saved nicely (might be nice to debounce this).\n",
+ " setTimeout(function () {\n",
+ " fig.push_to_output();\n",
+ " }, 1000);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function () {\n",
+ " var fig = this;\n",
+ "\n",
+ " var toolbar = document.createElement('div');\n",
+ " toolbar.classList = 'btn-toolbar';\n",
+ " this.root.appendChild(toolbar);\n",
+ "\n",
+ " function on_click_closure(name) {\n",
+ " return function (_event) {\n",
+ " return fig.toolbar_button_onclick(name);\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " function on_mouseover_closure(tooltip) {\n",
+ " return function (event) {\n",
+ " if (!event.currentTarget.disabled) {\n",
+ " return fig.toolbar_button_onmouseover(tooltip);\n",
+ " }\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " fig.buttons = {};\n",
+ " var buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'btn-group';\n",
+ " var button;\n",
+ " for (var toolbar_ind in mpl.toolbar_items) {\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) {\n",
+ " /* Instead of a spacer, we start a new button group. */\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ " buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'btn-group';\n",
+ " continue;\n",
+ " }\n",
+ "\n",
+ " button = fig.buttons[name] = document.createElement('button');\n",
+ " button.classList = 'btn btn-default';\n",
+ " button.href = '#';\n",
+ " button.title = name;\n",
+ " button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
+ " button.addEventListener('click', on_click_closure(method_name));\n",
+ " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
+ " buttonGroup.appendChild(button);\n",
+ " }\n",
+ "\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = document.createElement('span');\n",
+ " status_bar.classList = 'mpl-message pull-right';\n",
+ " toolbar.appendChild(status_bar);\n",
+ " this.message = status_bar;\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = document.createElement('div');\n",
+ " buttongrp.classList = 'btn-group inline pull-right';\n",
+ " button = document.createElement('button');\n",
+ " button.classList = 'btn btn-mini btn-primary';\n",
+ " button.href = '#';\n",
+ " button.title = 'Stop Interaction';\n",
+ " button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
+ " button.addEventListener('click', function (_evt) {\n",
+ " fig.handle_close(fig, {});\n",
+ " });\n",
+ " button.addEventListener(\n",
+ " 'mouseover',\n",
+ " on_mouseover_closure('Stop Interaction')\n",
+ " );\n",
+ " buttongrp.appendChild(button);\n",
+ " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
+ " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
+ " var fig = event.data.fig;\n",
+ " if (event.target !== this) {\n",
+ " // Ignore bubbled events from children.\n",
+ " return;\n",
+ " }\n",
+ " fig.close_ws(fig, {});\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function (el) {\n",
+ " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
+ " // this is important to make the div 'focusable\n",
+ " el.setAttribute('tabindex', 0);\n",
+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
+ " // off when our div gets focus\n",
+ "\n",
+ " // location in version 3\n",
+ " if (IPython.notebook.keyboard_manager) {\n",
+ " IPython.notebook.keyboard_manager.register_events(el);\n",
+ " } else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which === 13) {\n",
+ " this.canvas_div.blur();\n",
+ " // select the cell after this one\n",
+ " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+ " IPython.notebook.select(index + 1);\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "};\n",
+ "\n",
+ "mpl.find_output_cell = function (html_output) {\n",
+ " // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+ " // IPython event is triggered only after the cells have been serialised, which for\n",
+ " // our purposes (turning an active figure into a static one), is too late.\n",
+ " var cells = IPython.notebook.get_cells();\n",
+ " var ncells = cells.length;\n",
+ " for (var i = 0; i < ncells; i++) {\n",
+ " var cell = cells[i];\n",
+ " if (cell.cell_type === 'code') {\n",
+ " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
+ " var data = cell.output_area.outputs[j];\n",
+ " if (data.data) {\n",
+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
+ " data = data.data;\n",
+ " }\n",
+ " if (data['text/html'] === html_output) {\n",
+ " return [cell, data, j];\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "// Register the function which deals with the matplotlib target/channel.\n",
+ "// The kernel may be null if the page has been refreshed.\n",
+ "if (IPython.notebook.kernel !== null) {\n",
+ " IPython.notebook.kernel.comm_manager.register_target(\n",
+ " 'matplotlib',\n",
+ " mpl.mpl_figure_comm\n",
+ " );\n",
+ "}\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Javascript object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
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\" width=\"639.9999861283738\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": [
+ "<matplotlib.colorbar.Colorbar at 0x7fc6610a1a50>"
+ ]
+ },
+ "execution_count": 338,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "imshow(Tsurf,origin='lower')\n",
+ "colorbar()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 320,
+ "id": "483e15be",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/javascript": [
+ "/* Put everything inside the global mpl namespace */\n",
+ "/* global mpl */\n",
+ "window.mpl = {};\n",
+ "\n",
+ "mpl.get_websocket_type = function () {\n",
+ " if (typeof WebSocket !== 'undefined') {\n",
+ " return WebSocket;\n",
+ " } else if (typeof MozWebSocket !== 'undefined') {\n",
+ " return MozWebSocket;\n",
+ " } else {\n",
+ " alert(\n",
+ " 'Your browser does not have WebSocket support. ' +\n",
+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+ " 'Firefox 4 and 5 are also supported but you ' +\n",
+ " 'have to enable WebSockets in about:config.'\n",
+ " );\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
+ " this.id = figure_id;\n",
+ "\n",
+ " this.ws = websocket;\n",
+ "\n",
+ " this.supports_binary = this.ws.binaryType !== undefined;\n",
+ "\n",
+ " if (!this.supports_binary) {\n",
+ " var warnings = document.getElementById('mpl-warnings');\n",
+ " if (warnings) {\n",
+ " warnings.style.display = 'block';\n",
+ " warnings.textContent =\n",
+ " 'This browser does not support binary websocket messages. ' +\n",
+ " 'Performance may be slow.';\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " this.imageObj = new Image();\n",
+ "\n",
+ " this.context = undefined;\n",
+ " this.message = undefined;\n",
+ " this.canvas = undefined;\n",
+ " this.rubberband_canvas = undefined;\n",
+ " this.rubberband_context = undefined;\n",
+ " this.format_dropdown = undefined;\n",
+ "\n",
+ " this.image_mode = 'full';\n",
+ "\n",
+ " this.root = document.createElement('div');\n",
+ " this.root.setAttribute('style', 'display: inline-block');\n",
+ " this._root_extra_style(this.root);\n",
+ "\n",
+ " parent_element.appendChild(this.root);\n",
+ "\n",
+ " this._init_header(this);\n",
+ " this._init_canvas(this);\n",
+ " this._init_toolbar(this);\n",
+ "\n",
+ " var fig = this;\n",
+ "\n",
+ " this.waiting = false;\n",
+ "\n",
+ " this.ws.onopen = function () {\n",
+ " fig.send_message('supports_binary', { value: fig.supports_binary });\n",
+ " fig.send_message('send_image_mode', {});\n",
+ " if (fig.ratio !== 1) {\n",
+ " fig.send_message('set_device_pixel_ratio', {\n",
+ " device_pixel_ratio: fig.ratio,\n",
+ " });\n",
+ " }\n",
+ " fig.send_message('refresh', {});\n",
+ " };\n",
+ "\n",
+ " this.imageObj.onload = function () {\n",
+ " if (fig.image_mode === 'full') {\n",
+ " // Full images could contain transparency (where diff images\n",
+ " // almost always do), so we need to clear the canvas so that\n",
+ " // there is no ghosting.\n",
+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+ " }\n",
+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
+ " };\n",
+ "\n",
+ " this.imageObj.onunload = function () {\n",
+ " fig.ws.close();\n",
+ " };\n",
+ "\n",
+ " this.ws.onmessage = this._make_on_message_function(this);\n",
+ "\n",
+ " this.ondownload = ondownload;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._init_header = function () {\n",
+ " var titlebar = document.createElement('div');\n",
+ " titlebar.classList =\n",
+ " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
+ " var titletext = document.createElement('div');\n",
+ " titletext.classList = 'ui-dialog-title';\n",
+ " titletext.setAttribute(\n",
+ " 'style',\n",
+ " 'width: 100%; text-align: center; padding: 3px;'\n",
+ " );\n",
+ " titlebar.appendChild(titletext);\n",
+ " this.root.appendChild(titlebar);\n",
+ " this.header = titletext;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
+ "\n",
+ "mpl.figure.prototype._init_canvas = function () {\n",
+ " var fig = this;\n",
+ "\n",
+ " var canvas_div = (this.canvas_div = document.createElement('div'));\n",
+ " canvas_div.setAttribute('tabindex', '0');\n",
+ " canvas_div.setAttribute(\n",
+ " 'style',\n",
+ " 'border: 1px solid #ddd;' +\n",
+ " 'box-sizing: content-box;' +\n",
+ " 'clear: both;' +\n",
+ " 'min-height: 1px;' +\n",
+ " 'min-width: 1px;' +\n",
+ " 'outline: 0;' +\n",
+ " 'overflow: hidden;' +\n",
+ " 'position: relative;' +\n",
+ " 'resize: both;' +\n",
+ " 'z-index: 2;'\n",
+ " );\n",
+ "\n",
+ " function on_keyboard_event_closure(name) {\n",
+ " return function (event) {\n",
+ " return fig.key_event(event, name);\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " canvas_div.addEventListener(\n",
+ " 'keydown',\n",
+ " on_keyboard_event_closure('key_press')\n",
+ " );\n",
+ " canvas_div.addEventListener(\n",
+ " 'keyup',\n",
+ " on_keyboard_event_closure('key_release')\n",
+ " );\n",
+ "\n",
+ " this._canvas_extra_style(canvas_div);\n",
+ " this.root.appendChild(canvas_div);\n",
+ "\n",
+ " var canvas = (this.canvas = document.createElement('canvas'));\n",
+ " canvas.classList.add('mpl-canvas');\n",
+ " canvas.setAttribute(\n",
+ " 'style',\n",
+ " 'box-sizing: content-box;' +\n",
+ " 'pointer-events: none;' +\n",
+ " 'position: relative;' +\n",
+ " 'z-index: 0;'\n",
+ " );\n",
+ "\n",
+ " this.context = canvas.getContext('2d');\n",
+ "\n",
+ " var backingStore =\n",
+ " this.context.backingStorePixelRatio ||\n",
+ " this.context.webkitBackingStorePixelRatio ||\n",
+ " this.context.mozBackingStorePixelRatio ||\n",
+ " this.context.msBackingStorePixelRatio ||\n",
+ " this.context.oBackingStorePixelRatio ||\n",
+ " this.context.backingStorePixelRatio ||\n",
+ " 1;\n",
+ "\n",
+ " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+ "\n",
+ " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
+ " 'canvas'\n",
+ " ));\n",
+ " rubberband_canvas.setAttribute(\n",
+ " 'style',\n",
+ " 'box-sizing: content-box;' +\n",
+ " 'left: 0;' +\n",
+ " 'pointer-events: none;' +\n",
+ " 'position: absolute;' +\n",
+ " 'top: 0;' +\n",
+ " 'z-index: 1;'\n",
+ " );\n",
+ "\n",
+ " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
+ " if (this.ResizeObserver === undefined) {\n",
+ " if (window.ResizeObserver !== undefined) {\n",
+ " this.ResizeObserver = window.ResizeObserver;\n",
+ " } else {\n",
+ " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
+ " this.ResizeObserver = obs.ResizeObserver;\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
+ " var nentries = entries.length;\n",
+ " for (var i = 0; i < nentries; i++) {\n",
+ " var entry = entries[i];\n",
+ " var width, height;\n",
+ " if (entry.contentBoxSize) {\n",
+ " if (entry.contentBoxSize instanceof Array) {\n",
+ " // Chrome 84 implements new version of spec.\n",
+ " width = entry.contentBoxSize[0].inlineSize;\n",
+ " height = entry.contentBoxSize[0].blockSize;\n",
+ " } else {\n",
+ " // Firefox implements old version of spec.\n",
+ " width = entry.contentBoxSize.inlineSize;\n",
+ " height = entry.contentBoxSize.blockSize;\n",
+ " }\n",
+ " } else {\n",
+ " // Chrome <84 implements even older version of spec.\n",
+ " width = entry.contentRect.width;\n",
+ " height = entry.contentRect.height;\n",
+ " }\n",
+ "\n",
+ " // Keep the size of the canvas and rubber band canvas in sync with\n",
+ " // the canvas container.\n",
+ " if (entry.devicePixelContentBoxSize) {\n",
+ " // Chrome 84 implements new version of spec.\n",
+ " canvas.setAttribute(\n",
+ " 'width',\n",
+ " entry.devicePixelContentBoxSize[0].inlineSize\n",
+ " );\n",
+ " canvas.setAttribute(\n",
+ " 'height',\n",
+ " entry.devicePixelContentBoxSize[0].blockSize\n",
+ " );\n",
+ " } else {\n",
+ " canvas.setAttribute('width', width * fig.ratio);\n",
+ " canvas.setAttribute('height', height * fig.ratio);\n",
+ " }\n",
+ " /* This rescales the canvas back to display pixels, so that it\n",
+ " * appears correct on HiDPI screens. */\n",
+ " canvas.style.width = width + 'px';\n",
+ " canvas.style.height = height + 'px';\n",
+ "\n",
+ " rubberband_canvas.setAttribute('width', width);\n",
+ " rubberband_canvas.setAttribute('height', height);\n",
+ "\n",
+ " // And update the size in Python. We ignore the initial 0/0 size\n",
+ " // that occurs as the element is placed into the DOM, which should\n",
+ " // otherwise not happen due to the minimum size styling.\n",
+ " if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
+ " fig.request_resize(width, height);\n",
+ " }\n",
+ " }\n",
+ " });\n",
+ " this.resizeObserverInstance.observe(canvas_div);\n",
+ "\n",
+ " function on_mouse_event_closure(name) {\n",
+ " /* User Agent sniffing is bad, but WebKit is busted:\n",
+ " * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
+ " * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
+ " * The worst that happens here is that they get an extra browser\n",
+ " * selection when dragging, if this check fails to catch them.\n",
+ " */\n",
+ " var UA = navigator.userAgent;\n",
+ " var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
+ " if(isWebKit) {\n",
+ " return function (event) {\n",
+ " /* This prevents the web browser from automatically changing to\n",
+ " * the text insertion cursor when the button is pressed. We\n",
+ " * want to control all of the cursor setting manually through\n",
+ " * the 'cursor' event from matplotlib */\n",
+ " event.preventDefault()\n",
+ " return fig.mouse_event(event, name);\n",
+ " };\n",
+ " } else {\n",
+ " return function (event) {\n",
+ " return fig.mouse_event(event, name);\n",
+ " };\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " canvas_div.addEventListener(\n",
+ " 'mousedown',\n",
+ " on_mouse_event_closure('button_press')\n",
+ " );\n",
+ " canvas_div.addEventListener(\n",
+ " 'mouseup',\n",
+ " on_mouse_event_closure('button_release')\n",
+ " );\n",
+ " canvas_div.addEventListener(\n",
+ " 'dblclick',\n",
+ " on_mouse_event_closure('dblclick')\n",
+ " );\n",
+ " // Throttle sequential mouse events to 1 every 20ms.\n",
+ " canvas_div.addEventListener(\n",
+ " 'mousemove',\n",
+ " on_mouse_event_closure('motion_notify')\n",
+ " );\n",
+ "\n",
+ " canvas_div.addEventListener(\n",
+ " 'mouseenter',\n",
+ " on_mouse_event_closure('figure_enter')\n",
+ " );\n",
+ " canvas_div.addEventListener(\n",
+ " 'mouseleave',\n",
+ " on_mouse_event_closure('figure_leave')\n",
+ " );\n",
+ "\n",
+ " canvas_div.addEventListener('wheel', function (event) {\n",
+ " if (event.deltaY < 0) {\n",
+ " event.step = 1;\n",
+ " } else {\n",
+ " event.step = -1;\n",
+ " }\n",
+ " on_mouse_event_closure('scroll')(event);\n",
+ " });\n",
+ "\n",
+ " canvas_div.appendChild(canvas);\n",
+ " canvas_div.appendChild(rubberband_canvas);\n",
+ "\n",
+ " this.rubberband_context = rubberband_canvas.getContext('2d');\n",
+ " this.rubberband_context.strokeStyle = '#000000';\n",
+ "\n",
+ " this._resize_canvas = function (width, height, forward) {\n",
+ " if (forward) {\n",
+ " canvas_div.style.width = width + 'px';\n",
+ " canvas_div.style.height = height + 'px';\n",
+ " }\n",
+ " };\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " canvas_div.addEventListener('contextmenu', function (_e) {\n",
+ " event.preventDefault();\n",
+ " return false;\n",
+ " });\n",
+ "\n",
+ " function set_focus() {\n",
+ " canvas.focus();\n",
+ " canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " window.setTimeout(set_focus, 100);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function () {\n",
+ " var fig = this;\n",
+ "\n",
+ " var toolbar = document.createElement('div');\n",
+ " toolbar.classList = 'mpl-toolbar';\n",
+ " this.root.appendChild(toolbar);\n",
+ "\n",
+ " function on_click_closure(name) {\n",
+ " return function (_event) {\n",
+ " return fig.toolbar_button_onclick(name);\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " function on_mouseover_closure(tooltip) {\n",
+ " return function (event) {\n",
+ " if (!event.currentTarget.disabled) {\n",
+ " return fig.toolbar_button_onmouseover(tooltip);\n",
+ " }\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " fig.buttons = {};\n",
+ " var buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'mpl-button-group';\n",
+ " for (var toolbar_ind in mpl.toolbar_items) {\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) {\n",
+ " /* Instead of a spacer, we start a new button group. */\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ " buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'mpl-button-group';\n",
+ " continue;\n",
+ " }\n",
+ "\n",
+ " var button = (fig.buttons[name] = document.createElement('button'));\n",
+ " button.classList = 'mpl-widget';\n",
+ " button.setAttribute('role', 'button');\n",
+ " button.setAttribute('aria-disabled', 'false');\n",
+ " button.addEventListener('click', on_click_closure(method_name));\n",
+ " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
+ "\n",
+ " var icon_img = document.createElement('img');\n",
+ " icon_img.src = '_images/' + image + '.png';\n",
+ " icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
+ " icon_img.alt = tooltip;\n",
+ " button.appendChild(icon_img);\n",
+ "\n",
+ " buttonGroup.appendChild(button);\n",
+ " }\n",
+ "\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker = document.createElement('select');\n",
+ " fmt_picker.classList = 'mpl-widget';\n",
+ " toolbar.appendChild(fmt_picker);\n",
+ " this.format_dropdown = fmt_picker;\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = document.createElement('option');\n",
+ " option.selected = fmt === mpl.default_extension;\n",
+ " option.innerHTML = fmt;\n",
+ " fmt_picker.appendChild(option);\n",
+ " }\n",
+ "\n",
+ " var status_bar = document.createElement('span');\n",
+ " status_bar.classList = 'mpl-message';\n",
+ " toolbar.appendChild(status_bar);\n",
+ " this.message = status_bar;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+ " // which will in turn request a refresh of the image.\n",
+ " this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.send_message = function (type, properties) {\n",
+ " properties['type'] = type;\n",
+ " properties['figure_id'] = this.id;\n",
+ " this.ws.send(JSON.stringify(properties));\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.send_draw_message = function () {\n",
+ " if (!this.waiting) {\n",
+ " this.waiting = true;\n",
+ " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
+ " var format_dropdown = fig.format_dropdown;\n",
+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+ " fig.ondownload(fig, format);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
+ " var size = msg['size'];\n",
+ " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
+ " fig._resize_canvas(size[0], size[1], msg['forward']);\n",
+ " fig.send_message('refresh', {});\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
+ " var x0 = msg['x0'] / fig.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
+ " var x1 = msg['x1'] / fig.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
+ " x0 = Math.floor(x0) + 0.5;\n",
+ " y0 = Math.floor(y0) + 0.5;\n",
+ " x1 = Math.floor(x1) + 0.5;\n",
+ " y1 = Math.floor(y1) + 0.5;\n",
+ " var min_x = Math.min(x0, x1);\n",
+ " var min_y = Math.min(y0, y1);\n",
+ " var width = Math.abs(x1 - x0);\n",
+ " var height = Math.abs(y1 - y0);\n",
+ "\n",
+ " fig.rubberband_context.clearRect(\n",
+ " 0,\n",
+ " 0,\n",
+ " fig.canvas.width / fig.ratio,\n",
+ " fig.canvas.height / fig.ratio\n",
+ " );\n",
+ "\n",
+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
+ " // Updates the figure title.\n",
+ " fig.header.textContent = msg['label'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
+ " fig.canvas_div.style.cursor = msg['cursor'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
+ " fig.message.textContent = msg['message'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
+ " // Request the server to send over a new figure.\n",
+ " fig.send_draw_message();\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
+ " fig.image_mode = msg['mode'];\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
+ " for (var key in msg) {\n",
+ " if (!(key in fig.buttons)) {\n",
+ " continue;\n",
+ " }\n",
+ " fig.buttons[key].disabled = !msg[key];\n",
+ " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
+ " if (msg['mode'] === 'PAN') {\n",
+ " fig.buttons['Pan'].classList.add('active');\n",
+ " fig.buttons['Zoom'].classList.remove('active');\n",
+ " } else if (msg['mode'] === 'ZOOM') {\n",
+ " fig.buttons['Pan'].classList.remove('active');\n",
+ " fig.buttons['Zoom'].classList.add('active');\n",
+ " } else {\n",
+ " fig.buttons['Pan'].classList.remove('active');\n",
+ " fig.buttons['Zoom'].classList.remove('active');\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function () {\n",
+ " // Called whenever the canvas gets updated.\n",
+ " this.send_message('ack', {});\n",
+ "};\n",
+ "\n",
+ "// A function to construct a web socket function for onmessage handling.\n",
+ "// Called in the figure constructor.\n",
+ "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
+ " return function socket_on_message(evt) {\n",
+ " if (evt.data instanceof Blob) {\n",
+ " var img = evt.data;\n",
+ " if (img.type !== 'image/png') {\n",
+ " /* FIXME: We get \"Resource interpreted as Image but\n",
+ " * transferred with MIME type text/plain:\" errors on\n",
+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
+ " * to be part of the websocket stream */\n",
+ " img.type = 'image/png';\n",
+ " }\n",
+ "\n",
+ " /* Free the memory for the previous frames */\n",
+ " if (fig.imageObj.src) {\n",
+ " (window.URL || window.webkitURL).revokeObjectURL(\n",
+ " fig.imageObj.src\n",
+ " );\n",
+ " }\n",
+ "\n",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " img\n",
+ " );\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " } else if (\n",
+ " typeof evt.data === 'string' &&\n",
+ " evt.data.slice(0, 21) === 'data:image/png;base64'\n",
+ " ) {\n",
+ " fig.imageObj.src = evt.data;\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var msg = JSON.parse(evt.data);\n",
+ " var msg_type = msg['type'];\n",
+ "\n",
+ " // Call the \"handle_{type}\" callback, which takes\n",
+ " // the figure and JSON message as its only arguments.\n",
+ " try {\n",
+ " var callback = fig['handle_' + msg_type];\n",
+ " } catch (e) {\n",
+ " console.log(\n",
+ " \"No handler for the '\" + msg_type + \"' message type: \",\n",
+ " msg\n",
+ " );\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " if (callback) {\n",
+ " try {\n",
+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+ " callback(fig, msg);\n",
+ " } catch (e) {\n",
+ " console.log(\n",
+ " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
+ " e,\n",
+ " e.stack,\n",
+ " msg\n",
+ " );\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "};\n",
+ "\n",
+ "\n",
+ "/*\n",
+ " * return a copy of an object with only non-object keys\n",
+ " * we need this to avoid circular references\n",
+ " * https://stackoverflow.com/a/24161582/3208463\n",
+ " */\n",
+ "function simpleKeys(original) {\n",
+ " return Object.keys(original).reduce(function (obj, key) {\n",
+ " if (typeof original[key] !== 'object') {\n",
+ " obj[key] = original[key];\n",
+ " }\n",
+ " return obj;\n",
+ " }, {});\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.mouse_event = function (event, name) {\n",
+ " if (name === 'button_press') {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " // from https://stackoverflow.com/q/1114465\n",
+ " var boundingRect = this.canvas.getBoundingClientRect();\n",
+ " var x = (event.clientX - boundingRect.left) * this.ratio;\n",
+ " var y = (event.clientY - boundingRect.top) * this.ratio;\n",
+ "\n",
+ " this.send_message(name, {\n",
+ " x: x,\n",
+ " y: y,\n",
+ " button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event),\n",
+ " });\n",
+ "\n",
+ " return false;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
+ " // Handle any extra behaviour associated with a key event\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.key_event = function (event, name) {\n",
+ " // Prevent repeat events\n",
+ " if (name === 'key_press') {\n",
+ " if (event.key === this._key) {\n",
+ " return;\n",
+ " } else {\n",
+ " this._key = event.key;\n",
+ " }\n",
+ " }\n",
+ " if (name === 'key_release') {\n",
+ " this._key = null;\n",
+ " }\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.key !== 'Control') {\n",
+ " value += 'ctrl+';\n",
+ " }\n",
+ " else if (event.altKey && event.key !== 'Alt') {\n",
+ " value += 'alt+';\n",
+ " }\n",
+ " else if (event.shiftKey && event.key !== 'Shift') {\n",
+ " value += 'shift+';\n",
+ " }\n",
+ "\n",
+ " value += 'k' + event.key;\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
+ " return false;\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
+ " if (name === 'download') {\n",
+ " this.handle_save(this, null);\n",
+ " } else {\n",
+ " this.send_message('toolbar_button', { name: name });\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
+ " this.message.textContent = tooltip;\n",
+ "};\n",
+ "\n",
+ "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
+ "// prettier-ignore\n",
+ "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";/* global mpl */\n",
+ "\n",
+ "var comm_websocket_adapter = function (comm) {\n",
+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
+ " // object with the appropriate methods. Currently this is a non binary\n",
+ " // socket, so there is still some room for performance tuning.\n",
+ " var ws = {};\n",
+ "\n",
+ " ws.binaryType = comm.kernel.ws.binaryType;\n",
+ " ws.readyState = comm.kernel.ws.readyState;\n",
+ " function updateReadyState(_event) {\n",
+ " if (comm.kernel.ws) {\n",
+ " ws.readyState = comm.kernel.ws.readyState;\n",
+ " } else {\n",
+ " ws.readyState = 3; // Closed state.\n",
+ " }\n",
+ " }\n",
+ " comm.kernel.ws.addEventListener('open', updateReadyState);\n",
+ " comm.kernel.ws.addEventListener('close', updateReadyState);\n",
+ " comm.kernel.ws.addEventListener('error', updateReadyState);\n",
+ "\n",
+ " ws.close = function () {\n",
+ " comm.close();\n",
+ " };\n",
+ " ws.send = function (m) {\n",
+ " //console.log('sending', m);\n",
+ " comm.send(m);\n",
+ " };\n",
+ " // Register the callback with on_msg.\n",
+ " comm.on_msg(function (msg) {\n",
+ " //console.log('receiving', msg['content']['data'], msg);\n",
+ " var data = msg['content']['data'];\n",
+ " if (data['blob'] !== undefined) {\n",
+ " data = {\n",
+ " data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
+ " };\n",
+ " }\n",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(data);\n",
+ " });\n",
+ " return ws;\n",
+ "};\n",
+ "\n",
+ "mpl.mpl_figure_comm = function (comm, msg) {\n",
+ " // This is the function which gets called when the mpl process\n",
+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+ "\n",
+ " var id = msg.content.data.id;\n",
+ " // Get hold of the div created by the display call when the Comm\n",
+ " // socket was opened in Python.\n",
+ " var element = document.getElementById(id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm);\n",
+ "\n",
+ " function ondownload(figure, _format) {\n",
+ " window.open(figure.canvas.toDataURL());\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
+ "\n",
+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+ " // web socket which is closed, not our websocket->open comm proxy.\n",
+ " ws_proxy.onopen();\n",
+ "\n",
+ " fig.parent_element = element;\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error('Failed to find cell for figure', id, fig);\n",
+ " return;\n",
+ " }\n",
+ " fig.cell_info[0].output_area.element.on(\n",
+ " 'cleared',\n",
+ " { fig: fig },\n",
+ " fig._remove_fig_handler\n",
+ " );\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
+ " var width = fig.canvas.width / fig.ratio;\n",
+ " fig.cell_info[0].output_area.element.off(\n",
+ " 'cleared',\n",
+ " fig._remove_fig_handler\n",
+ " );\n",
+ " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
+ "\n",
+ " // Update the output cell to use the data from the current canvas.\n",
+ " fig.push_to_output();\n",
+ " var dataURL = fig.canvas.toDataURL();\n",
+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+ " // the notebook keyboard shortcuts fail.\n",
+ " IPython.keyboard_manager.enable();\n",
+ " fig.parent_element.innerHTML =\n",
+ " '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+ " fig.close_ws(fig, msg);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
+ " fig.send_message('closing', msg);\n",
+ " // fig.ws.close()\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
+ " // Turn the data on the canvas into data in the output cell.\n",
+ " var width = this.canvas.width / this.ratio;\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] =\n",
+ " '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function () {\n",
+ " // Tell IPython that the notebook contents must change.\n",
+ " IPython.notebook.set_dirty(true);\n",
+ " this.send_message('ack', {});\n",
+ " var fig = this;\n",
+ " // Wait a second, then push the new image to the DOM so\n",
+ " // that it is saved nicely (might be nice to debounce this).\n",
+ " setTimeout(function () {\n",
+ " fig.push_to_output();\n",
+ " }, 1000);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function () {\n",
+ " var fig = this;\n",
+ "\n",
+ " var toolbar = document.createElement('div');\n",
+ " toolbar.classList = 'btn-toolbar';\n",
+ " this.root.appendChild(toolbar);\n",
+ "\n",
+ " function on_click_closure(name) {\n",
+ " return function (_event) {\n",
+ " return fig.toolbar_button_onclick(name);\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " function on_mouseover_closure(tooltip) {\n",
+ " return function (event) {\n",
+ " if (!event.currentTarget.disabled) {\n",
+ " return fig.toolbar_button_onmouseover(tooltip);\n",
+ " }\n",
+ " };\n",
+ " }\n",
+ "\n",
+ " fig.buttons = {};\n",
+ " var buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'btn-group';\n",
+ " var button;\n",
+ " for (var toolbar_ind in mpl.toolbar_items) {\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) {\n",
+ " /* Instead of a spacer, we start a new button group. */\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ " buttonGroup = document.createElement('div');\n",
+ " buttonGroup.classList = 'btn-group';\n",
+ " continue;\n",
+ " }\n",
+ "\n",
+ " button = fig.buttons[name] = document.createElement('button');\n",
+ " button.classList = 'btn btn-default';\n",
+ " button.href = '#';\n",
+ " button.title = name;\n",
+ " button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
+ " button.addEventListener('click', on_click_closure(method_name));\n",
+ " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
+ " buttonGroup.appendChild(button);\n",
+ " }\n",
+ "\n",
+ " if (buttonGroup.hasChildNodes()) {\n",
+ " toolbar.appendChild(buttonGroup);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = document.createElement('span');\n",
+ " status_bar.classList = 'mpl-message pull-right';\n",
+ " toolbar.appendChild(status_bar);\n",
+ " this.message = status_bar;\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = document.createElement('div');\n",
+ " buttongrp.classList = 'btn-group inline pull-right';\n",
+ " button = document.createElement('button');\n",
+ " button.classList = 'btn btn-mini btn-primary';\n",
+ " button.href = '#';\n",
+ " button.title = 'Stop Interaction';\n",
+ " button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
+ " button.addEventListener('click', function (_evt) {\n",
+ " fig.handle_close(fig, {});\n",
+ " });\n",
+ " button.addEventListener(\n",
+ " 'mouseover',\n",
+ " on_mouseover_closure('Stop Interaction')\n",
+ " );\n",
+ " buttongrp.appendChild(button);\n",
+ " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
+ " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
+ " var fig = event.data.fig;\n",
+ " if (event.target !== this) {\n",
+ " // Ignore bubbled events from children.\n",
+ " return;\n",
+ " }\n",
+ " fig.close_ws(fig, {});\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function (el) {\n",
+ " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
+ " // this is important to make the div 'focusable\n",
+ " el.setAttribute('tabindex', 0);\n",
+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
+ " // off when our div gets focus\n",
+ "\n",
+ " // location in version 3\n",
+ " if (IPython.notebook.keyboard_manager) {\n",
+ " IPython.notebook.keyboard_manager.register_events(el);\n",
+ " } else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which === 13) {\n",
+ " this.canvas_div.blur();\n",
+ " // select the cell after this one\n",
+ " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+ " IPython.notebook.select(index + 1);\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "};\n",
+ "\n",
+ "mpl.find_output_cell = function (html_output) {\n",
+ " // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+ " // IPython event is triggered only after the cells have been serialised, which for\n",
+ " // our purposes (turning an active figure into a static one), is too late.\n",
+ " var cells = IPython.notebook.get_cells();\n",
+ " var ncells = cells.length;\n",
+ " for (var i = 0; i < ncells; i++) {\n",
+ " var cell = cells[i];\n",
+ " if (cell.cell_type === 'code') {\n",
+ " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
+ " var data = cell.output_area.outputs[j];\n",
+ " if (data.data) {\n",
+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
+ " data = data.data;\n",
+ " }\n",
+ " if (data['text/html'] === html_output) {\n",
+ " return [cell, data, j];\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "// Register the function which deals with the matplotlib target/channel.\n",
+ "// The kernel may be null if the page has been refreshed.\n",
+ "if (IPython.notebook.kernel !== null) {\n",
+ " IPython.notebook.kernel.comm_manager.register_target(\n",
+ " 'matplotlib',\n",
+ " mpl.mpl_figure_comm\n",
+ " );\n",
+ "}\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Javascript object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
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\" width=\"799.9999826604674\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "crs= ccrs.LambertAzimuthalEqualArea(central_longitude=0.0, central_latitude=-90.0)\n",
+ "fig = plt.figure(figsize=(8,8),tight_layout=True)\n",
+ "spec = GridSpec(ncols=16, nrows=3, figure=fig)\n",
+ "ax = fig.add_subplot(spec[0:3,0:15], projection=crs)\n",
+ "ax6 = fig.add_subplot(spec[1:2,15:16])\n",
+ "\n",
+ "cmap2 = plt.cm.tab10 # Discrete for polygons\n",
+ "#cmap=cm.YlOrRd\n",
+ "#cmap=cm.magma_r\n",
+ "cmap=cm.cool\n",
+ "vmin,vmax=-30,0\n",
+ "#label='Sea ice production [m/year]'\n",
+ "label='SMOS Sea ice thickness [m]'\n",
+ "label='SMOS Sea ice surface temperature [°C]'\n",
+ "\n",
+ "ax.add_feature(land_50m)\n",
+ "ax.coastlines(resolution='50m',lw=0.2,color='#b0b0b0')\n",
+ "\n",
+ "#ax.set_extent([-180, 180, -90, -55], ccrs.PlateCarree())\n",
+ "\n",
+ "#ax.set_extent([-60, -15, -70, -78], ccrs.PlateCarree()) # Weddell\n",
+ "ax.set_extent([-55, -15, -70, -78], ccrs.PlateCarree()) # Weddell\n",
+ "\n",
+ "\n",
+ "gl=ax.gridlines(draw_labels=True, dms=True, x_inline=False, y_inline=False,linewidth=0.3)\n",
+ "gl.xlocator = mticker.FixedLocator(arange(-180,180,5))\n",
+ "gl.ylocator = mticker.FixedLocator(arange(-90,-50,2))\n",
+ "gl.top_labels = True\n",
+ "gl.right_labels = False\n",
+ "gl.left_labels = True\n",
+ "gl.bottom_labels = False\n",
+ "\n",
+ "\n",
+ "#im=ax.pcolormesh(lon,lat,sic-mask_roi,transform=ccrs.PlateCarree(),cmap=cmap,vmin=vmin,vmax=vmax)\n",
+ "im=ax.pcolormesh(lon_smos,lat_smos,Tsurf,transform=ccrs.PlateCarree(),cmap=cmap,vmin=vmin,vmax=vmax)\n",
+ "\n",
+ "norm = mpl.colors.Normalize(vmin=vmin, vmax=vmax)\n",
+ "colorbar(mpl.cm.ScalarMappable(norm=norm, cmap=cmap),cax=ax6, label=label, extend='both')\n",
+ "\n",
+ "xp1,yp1=crs.transform_point(lon1,lat1, src_crs=ccrs.PlateCarree())\n",
+ "\n",
+ "xp2,yp2=crs.transform_point(lon1,lat2, src_crs=ccrs.PlateCarree())\n",
+ "\n",
+ "Lx=[xp1,xp2]\n",
+ "Ly=[yp1,yp2]\n",
+ "\n",
+ "ax.plot(array(Lx),array(Ly),'r-',alpha=0.5)\n",
+ "tight_layout()"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "cartopy",
+ "language": "python",
+ "name": "cartopy"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.10.8"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
--
GitLab