Tristan Hauser added file figures/comp_examples/composites_standard.ipynb  about 8 years ago

Commit id: 5f365bd6aa674646289b7e2009b1249977876c14

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{  "cells": [  {  "cell_type": "markdown",  "metadata": {},  "source": [  "# Precipitation composites"  ]  },  {  "cell_type": "markdown",  "metadata": {},  "source": [  "Want to express the typical patterns of the months considered to be within El Niño periods."  ]  },  {  "cell_type": "markdown",  "metadata": {},  "source": [  "## Initial estimates"  ]  },  {  "cell_type": "markdown",  "metadata": {},  "source": [  "Calculate standard statistics of the events. "  ]  },  {  "cell_type": "markdown",  "metadata": {},  "source": [  "### Set environment"  ]  },  {  "cell_type": "code",  "execution_count": 1,  "metadata": {  "collapsed": false  },  "outputs": [  {  "name": "stderr",  "output_type": "stream",  "text": [  "/home/tristan/anaconda/lib/python2.7/site-packages/matplotlib/__init__.py:872: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.\n",  " warnings.warn(self.msg_depr % (key, alt_key))\n"  ]  }  ],  "source": [  "#--- Libraries\n",  "import matplotlib.pyplot as plt # plotting package\n",  "import seaborn as sns # plotting aestetics\n",  "import netCDF4 as nc # package to read NetCDF files\n",  "import pandas as pd # packages for statistics\n",  "import numpy as np # packages for linear algebra\n",  "import itertools\n",  "\n",  "from mpl_toolkits.axes_grid1 import ImageGrid # plot setting libraries\n",  "from collections import OrderedDict # dictionaries with fixed sequence of entries\n",  "from mpl_toolkits.basemap import Basemap # map making libraries\n",  "from cdo import * # access external NetCDF data processing routines\n",  "cdo = Cdo() \n",  "\n",  "%matplotlib inline"  ]  },  {  "cell_type": "code",  "execution_count": 2,  "metadata": {  "collapsed": true  },  "outputs": [],  "source": [  "#--- Arrange data\n",  "# load data files\n",  "ncfile_anom = nc.Dataset('data/precip.mon.mean.safr.anom.elnino.nc')\n",  "ncfile_mask = nc.Dataset('data/mask.abserror.safr.elnino.nc')\n",  "# get coordinates of data\n",  "lons = ncfile_anom.variables['lon'][:]\n",  "lats = ncfile_anom.variables['lat'][:]\n",  "# add extra point for grid fill\n",  "lons = np.append(lons,lons[-1]+2)\n",  "lats = np.append(lats,lats[-1]-2)\n",  "# set coordinates list as grid of locations\n",  "lons, lats = np.meshgrid(lons,lats)\n",  "# shift so that lines show grid box boundaries, \n",  "# rather than grid point locations\n",  "lons = lons - (2/2)\n",  "lats = lats + (2/2)\n",  "# create dictionary to store results\n",  "comps = OrderedDict()"  ]  },  {  "cell_type": "markdown",  "metadata": {},  "source": [  "### Mean "  ]  },  {  "cell_type": "markdown",  "metadata": {},  "source": [  "The most common composite statistics is the group mean. Here calculate and plot the mean values of all the data within the El Niño period. "  ]  },  {  "cell_type": "code",  "execution_count": 3,  "metadata": {  "collapsed": true  },  "outputs": [],  "source": [  "#--- Calculate mean over all time-slices\n",  "# set file to store results\n",  "anom_mean = np.copy(ncfile_anom.variables['precip'][0,:,:])\n",  "# loop over all grid points\n",  "for i in itertools.product(range(anom_mean.shape[0]),range(anom_mean.shape[1])) :\n",  " # pull time series of given location\n",  " anom_mean[i[0],i[1]] = np.mean(ncfile_anom.variables['precip'][:,i[0],i[1]])\n",  "\n",  "# create dictionary reference\n",  "comps['mean'] = anom_mean"  ]  },  {  "cell_type": "markdown",  "metadata": {},  "source": [  "### Median"  ]  },  {  "cell_type": "markdown",  "metadata": {},  "source": [  "Can also calculate the median values for each grid cell."  ]  },  {  "cell_type": "code",  "execution_count": 4,  "metadata": {  "collapsed": true  },  "outputs": [],  "source": [  "#--- Calculate median over time\n",  "# set file to store results\n",  "anom_median = np.copy(ncfile_anom.variables['precip'][0,:,:])\n",  "# loop over all grid points\n",  "for i in itertools.product(range(anom_mean.shape[0]),range(anom_mean.shape[1])) :\n",  " # pull time series of given location\n",  " anom_median[i[0],i[1]] = np.median(ncfile_anom.variables['precip'][:,i[0],i[1]])\n",  "\n",  "# create dictionary reference\n",  "comps['median'] = anom_median"  ]  },  {  "cell_type": "markdown",  "metadata": {},  "source": [  "### Mode (sort of)"  ]  },  {  "cell_type": "markdown",  "metadata": {},  "source": [  "Becaue the anomaly values are not discreet it's not possible to calculate the mode. First the values need to be binned into set groups. The script below isn't that precise, just labels each grid cell by the value in the centre of the bin it has been assigned (_well probably, worth checking that the function_ ``np.digitize`` _works the way I think it does_). "  ]  },  {  "cell_type": "code",  "execution_count": 5,  "metadata": {  "collapsed": true  },  "outputs": [],  "source": [  "#--- Calculate most common interval over time\n",  "# set file to store results\n",  "anom_mode = np.copy(ncfile_anom.variables['precip'][0,:,:])\n",  "# loop over all grid points\n",  "for i in itertools.product(range(anom_mean.shape[0]),range(anom_mean.shape[1])) :\n",  " # choose bins \n",  " bins = np.arange(-3.25,3.75,0.5)\n",  " # set value to represent each bin\n",  " vals = bins - 0.25 ; vals = np.append(vals,3.5) \n",  " # bin data\n",  " grouping = np.digitize(ncfile_anom.variables['precip'][:,i[0],i[1]],bins)\n",  " # count number of samples in each bin\n",  " count = np.unique(grouping,return_counts=True)\n",  " # select value to represent most frequently occuring bin\n",  " anom_mode[i[0],i[1]] = vals[int(count[0][np.where(count[1]==count[1].max())[0][0]])]\n",  "\n",  "# create dictionary reference\n",  "comps['mode'] = anom_mode"  ]  },  {  "cell_type": "markdown",  "metadata": {},  "source": [  "### View results"  ]  },  {  "cell_type": "code",  "execution_count": 6,  "metadata": {  "collapsed": false  },  "outputs": [  {  "data": {  "image/png": 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bNv3Mazuwbx9WrVzJa9vx669Ysngxr+2Xn3/GvNmzeW3r163D9KlTeW0b1q/H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E5SPLXgKyz/jltR/ZctB3Dg8BlOm3PKg2DZFetfDiJnMtvocf2jD6LB7D6Hpwx/nH3Jnr/+wubN\n3ErBi9//AC/MeZHTVlRcjHPnuOfNf6Zeg+uu+z9O28033YD/TL0GLEjb1rVbd3Qo7MhpY0Hi61Vf\n4vLLhwEgbDe7si+xsHHjJqxevcb3jq2Qnzf8jnU/S8WXFAvWlyo+Har4dIAACEWMXxup1oFU63DJ\noCvx0/9WgIyJB8FcAIzlgLEcl/RthxSN0fYYxnK8Ov8ZFLTL59jw4eLX0b6A23byzHmXqt6XjLoH\nJ0+f57R9sHQ1qqq5+X+F9iXBMmrsOEycPNn3jjI+cfYl3377LU6ePMlpu+7aa7F5M/dcpY8ccako\n/PLLL6OzU6XcN958Ex07dgTLsrbNmpvQsY0kSZwvKbEJjsH4kmjk/cWL8e+RI2KbIUkWLVqE48eP\ni20GAPdFUwJFGZcCBPj7t55Xsx97DI/Ons1pU6lUGDZsGOf8S05OxpIlSzivn5aWhm+//ZbT1tjY\niLNnz3LaTp48yZnIBiwrL99fvJjTZim0KS1f0rtdMlIT+BXyi3YUJCnoJgG2UBQ1riUo0W98vYMv\nATzd8rcClvXbfWia3tLSthbAlTRNVwIoB/A2gA9bnqsEcB9FUV1omq4D0Jmm6YATHtXU1GDpUm70\n5vHjx9G9e3dOm7v8Ex07dsTKL7/ktOXn5+PR2bM5Fwi1Wo0svc5FTLRuvi5KSqXS5tyj2VEHQrxG\nje6d24pthiSJ18SiS2H4wtR9IYVoWkcBUhkTD1IZZ1n0RSrcbwBHgLRuSXEMkjUsp21o92T0zOOe\nm88+eDWuHsPNLNNsNMHMsJzPY87ba7D21wOcIjLrN27FseOnA36vvorIeEv6HxMbC127tgAgiSIy\nkcDBgwexceNGTttHH32Ee++9l9NWX1ePaqcB4PXTrsUjDz/IaRszehQmjBsDljHbtowMLVJS01zE\nRBZW/0B63VSqGFsBGdmPcMnJaYP8/HzfO7ZC8nJ0yM2Vki8RTngMFEcBUhWrAQHCsx+x+ZJyly07\njUQMYRcrCYLFI7MmQZvBjbrZ+N2ryG3DjZysb2gCSZKcIjLDr3kKZRXc68unX/yIhgb/lyDyxZsv\nSUtPQ7bONWJUxjPr1q3Dv//+y2m77rrr8P3333Paqquq0OC0GuvdRYswaNAgTtsDDzyAwsJCzrgk\nJycHsbGxnDbrBvgObFCpVDYfIhVfYl1iLTZdunZFMo/iZ62Rbl27ciJpxUbsiFrHc4okSVs1b2/n\nnrtzliRJZOt0nLa0tDROujbAolFs/o076W0ymWBqSVNi/Tz+/fdfTHKoGwFYgq+++eabUH0UALwv\nrU6MUyJGKQmBTMgiMgFBEoSgmwQYD+AHAM0URTEtG+/Kh15HlzRN1wMARVGJAL4C8CSAVx12uQAg\nuWXfhQAWOjw3AsCDAJZTFJUJ4H1Yymy7sGrVKkyZYk98X1ZWhiuuuAJ///23rY1lWRw+fJhzXH5+\nPnbu3Mlpy8rKwoMPPsiZaVQqlUhOTna7dMDFCbPBO2brxSYUDl6n10tCFPKXlOQEXH5pD7HNkCSp\nyfG4tH+h2GZwKC4qQn6HArHN4A/Jr4Loud3LQKriwRjrUGc46vK8Y7zgkG4JAJpRY7JfJp+9b6xL\nnsvauno0O+VIuu/ReZh81QgMHmQXMjf/vguFHfKhzxb/Zjta2bJlCy67zJ5q5LvvvsP69evx7rvv\n2tqqqqpcbmCnTZuGG2+8ESqVylbBetDAiwHAlgsRAOI1cS5tgKvP8LfqtBjo9XrRb+QDoWPHjmKb\nIFk6Uda8hIEVogkFxUXFSJTEvTJPePoSawQ/a27ktMbFEgDMtnzcAHDfHZZo+zqHYMf1X811KZJT\nVlEFhcNgjWVZDBp+Czb++D7UansahlXfb8DEsUOhVPK1VcYfdu7cidTUVBQW2u/LHnzwQQwYMAD/\n+c9/bG3nzp3jVG0GgA8++ABxcXFobLKLxzfdfDMAbgRkSovY5W6JpyOhGksIRaT6EQCcewUZLoOH\nDBHbBBeO/Xi/pM8FZ/jaaj3Hna8FGo2G05aZmYmZM2dyzjeKovC1k8BoLWzryJ49e/Dee+/hgw8+\nsLWVlJTg0KFDGOqULk5GOBQSHwf4C03TQc1M+gxpoSgqF8A3sORkXEFR1AKHpxMBuGR0pSgqBUBb\nmqYfA/AYRVE6AN9QFLWbpunVzvv/+OOPHNExLS0Nq1dzd0tOTsa8efM4bQqFAhqNJb+P44kp5kXJ\nZDLZZkBkZPzBdGoXSitqfe/YijCbzbaZRSEhVfG+dwJgbLyAeMLhOyEAkIDxwimktAwCb7nGIk5V\nOYw95z33AJQK7oDw6LFTyM7KAOzpmrD48WfRb/Qo5HWyCynFx08iTZeFWJFn6CKRP//8kzOQuPLK\nKzHE6eZ54MCBGDhwIKdN7VDO1lFQDNSXEGBa8igG/rs1mUxQKCLnBltGGAKtXB3ttB08E0p1ELm8\nTCYoFArBy6QQCn6lsE3NddBmuuZINjeWIzXeYtXc2dehso57zVi96i2O4Gg2m7Hn70OYPMFewKPZ\naMTkK0fioy++sF2zGIbBoX/+QVen1UCRQFxynu+dQsi+ffvQrl07juj4xBNPID6ee98wffp0l2Ot\n+/gSE8OFteK0QhE6gTqShUcZGX8J1Tif7zXCU5SwtZq7VqtFr169OKs+e/bsiddee42zf011NY4d\nPcoRHXfs2IHt/1ajwCE9bLOJhdEMxMfK96P+Em05HVuCCP8PAOdmhqbpF/gc73VERFFUFoCfADxK\n07S1ksNfFEUNbvl7NIAtbg6NBbCSoijrmVEC4DwAt+tGnHMekCRpS5LPFynkHqkoL0enDqGPWNN5\nWSIjIxNN/G/1Btx8x8MA08gpqhQOiouKUVZR63ZjGAYlhnLbBgAp6lrb1ibNjKzkZk7bQ3eOAlXY\njvMaV915K7LycjltG75YgYriEgD25XArF76NMqelimaTCXNvvh3njkkj744UuP/++zmPExISkJrq\nXzEkKfiSr75ahTvumOF7xyDxttxSJvxoM+Xq76HiwUefw5JlX/reMQQUFRXBUFbtdmMYBiWlFbYt\nNZ6xbWkJLAraJHDaMpIIzHvmbs71SUGSeOXN1zltdXV1eOu1122P9Xo9LtTU4OnZj3FsYxgGpQYD\nRg4ZGvLPIVK47bbbcMUVV3DaMjIyEOfHRKBUciLOvOsurHCoqCsjIxMcvXr2xOnTgadUCpSioiKL\nLzEY3G7W9HLWzSpAarVa6HQ6dOjQgdM26NJLMf222zivsXbxQ+iSw51cqWlkcabKnjdSr9PjfFUT\nDp/jBskwDIvjJXXYfqQSz32yGSnpWUG/Z1+FEqUOCULQTQKsAdAblhAcx40XvkbxjwNIAfA0RVHP\nwLJq7D4Ab1MUpQJwCMAq54Nomi6hKOoeAD9SFGWEJR/kjzRN/8LXsEgkNS0N/54QTgAwxWZB2VTi\n9oYl0pZZ1zc04ZV3VuHZR6aJbYrk2H/4LA4dLcbVkReQEHImThiBCeOuBNAstileKfGRlxEAsrTp\nSFFznfTNAwajgbGf36v+2Yvrn3rM+VDkUR0Rl8C9EXhg1ATMnD8X2pwc27LwXb9sRI9Bl4gSJdkx\nVRZMhGLy5KtxzTVTwLLmkC+vi7Qolb17/8a+/Qfw8AN3i22K5Fi5ajXa5rfBiIG5vnduZbz1+lxL\nwn1zpdimeKWktMLnPlmZaU4tBJJjTsFsdChGkNgf7y/5hLMXSZLo25+bu/jMqVO4bvIUrPjOXtyg\npqYG27dtwwiHqqsy/qGJi0O9Ux5HMXh30SKQJBnywXuk+REA+OrLL5GXl4fxEyaIbYrkmDt3LmbN\nmiWJ3JtSY/+BA2Kb4IJWq3WpZ+H82NNxjjw6ayyqyrnHLVi0FhlOxajjYkiwLFdCOlJch9LqJvRt\nb1+RQNM0Ghsb0bNnTz5vwy2RtKTemehaXG2BpulbAz3WV07H+wHc7+apob46pmn6RwA/BmZWZBLJ\nJ0aoUSoV6NdLzsXljrSUeHRoqwXg20GECylF05IkCYSxOFuoih+4EyazMhhUl9kzVEzp2sv2t8Ih\nt9hlN9wMANhSbrdt4U//A0mSIAgCppbq1bt/2YhuFw/gvMabDzyKO198DuqWVBQAYGxqhio2Jrg3\nJBMy7AXJFGBZ3jmaWwUZGRmgOkorB65U6NA+H+lp/kX2hhqdXofaYtf8uWJAkiQQxtMpVCKMszCZ\norEISqVl9vZs7S7b36RCAZzdg3gAEy9WA2d/BHIseSbz27XD5p07oFQqEQNLKpPKykr8vmULR3T8\n98gRfLZsGZ6fM8fWZjJZ/I7zUkOlsUwqSe8jnmBzxAudmsYbkSY8dujQAalpzgK+DAD07duXk3ZG\nxo5jNetwEarzylmYZFmgySG5fawSeHTmaNtjd2kaPl21BwDQqU0COuriObmKjx09iqrqao7o+NVX\nXwEArrnmGltbU1MTYmJiok5Hibb3A+A7iqJuA7ARDmUQaJrmFforJx+MYCIp2jFGpcTY4f3FNkOS\ntMlORZvsVJhOSUd0FKqQTO6Am6BUJ/veUQYAUF1mFybdLX29LN19Dt8mlkEzY8Zd8+dy2lmWxcWj\nhnMiH80mE6b3H4SP/9wKpUpl22/X+g1of/UUyLQ+ImmwmJPTBjk5bcQ2Q5L07d2t5S/p5IWsPncE\nMXFyhdhQYyjjplcvNZTa/tbrXf2G+aw9JsA6EIhJp0Ao1OiQBbwwl+tL0tPTMXzECE7b1j/+wJsL\nF+Lr776ztRUXF6P4xH5cfFHfQN+KjAwvrEtI+UR0uaN3nz4CWxQ9jB492vdOMkEj9UJRjgIkAOi0\n3CXT1eUluGmK63kUr4kFy7IYPWaMy/vr3r27i2D70rx5SElN5aRI2rt3L5KTk9GuHTctVSQhkSXR\nQpIM4DEAZQ5tLABegoEsOgqM2WxZDhfKpM2ORJLwKCPjL01NzYiJUUXfZdsHnnLtqd0kr64xNoMA\noFYo0Sslw+X53v+51vb33qoyKJRKLNm7gxMB0Vhfj/3rN2H6VPu+dbW1eHv+y3hs7hzIhJ+mpibE\nxsb63lEgIkl4lJHxl3CfT3zIzsqEoaw6pK/hTnAEPCe4tw4QVY0nOe1Z8UBW/1yg8SSM6rYALBVu\nL3WqAHz2zBls/X07R3TcsfNP0EeO4cbrpwb4LmQChWVZNDc3IyYmPCsbZD8i40wwwrAjjNkMhciF\nWj1Fd4cSKZxPnla/JXvJ22iN0nYWGCmKAsAVXJ97/nlL+hMH/ty9Gzk5ORzR8dNPP0WXzp3R/6KL\nfNqskUAxTjL6Bq+TAWhpmg4od0jULDeXwo8LAG68/nr8sn59WF9TSkthZWSEZNqt9+PnDe5qVYWG\nUC2tdkdWl6tcolP8YfGiRVgwfz4A+0BRrVB63ACgV0oGeqVkoE+a1vZ3r5QMXNImHy8tXsTpn2VZ\ndOnZg9N2+sQJ3DDhKk5bU2Mjzp8T/6Yo2shvW4AGgXKCEaSC11KgSCosYyirlPNNyfCCZVm0KegD\no9EYtteUwkCRL7fc9wa27jrEaXMuhOK4qRpP2rbY5tOcxwN7aPHQAzM5faWmpiAvlxud/OmylZj7\n0kJOW1l5BZrYpNC8yVbK1q1bMXHiRJsAEA4iyY/IyPjD1q1bMWnSpIgvcBIKTGYGw2d8DpPZLh56\n8yOOoqRVgHR8fOv06S55hfPy8lxSIsy4805s2rSJ03b27Fk0NbmtXRxWorCQzHE4Va72BznSUWA+\n++KLsDp3PpRWKaHVZsBgKPO9cwh5bsHnmH3vNUhNkFa0gdj8tuMImpqNuDxPbEukx6rPF1nOJTa0\nzsMfsbFT/ytDaAn/G/abb70VjY2NvPu1Co+eUBIkHK9aaUlJmDLVEpnS3HI90+fmYsEirjh58vhx\nvPHiPGxYs9bWVlJSgv379+PKK0P7WUUzxUVnW3yJnNPRkVOnTuPb777H/ffdI7YpkuO9Dz7HlZcP\nQr/OiWKbIikIgkDp2QOWyRkBdMfGqhMgSJXb56QkNnqKcnTmjTm3IzbW/ftxh1/LUicAACAASURB\nVLflgCzLggAD1iGmobCwAIWFBWDBgmgZOE25erxLoZXvfliL+iYSs2fPtrXt2bMHarUaXbp04W2f\njJ2BAwdi7dq1vndshfyyfj2MJhNuuukmsU2RFAzD4LHZs7HglVfENkVyDB48GJe1RHeHelm0lHwJ\nHxQkgeXzJ0Gp4B/P5suXOP4PAEOHDnXZb87cudA45KwHgKeffhr333cfLrnkElvb2rVrcdFFFyE9\nPXxFL6Mmss8OC+AgRVEH4FDhlabpYXwOlkVHNwSTY0Gs3AyRsMx6QF8KiiiMNQ4WfVYKTCYzgHqx\nTeFgZszgPwwJHQRBANLR8AEAZZXif1dqtRpqtRo1RoEqexMElG6uXyaGwf+zd97hUZTbH//O7GZL\net0kC6HD0HsT6aCo2LCX67W3n723q2JBRa+CBbFjRa+gCIKioghSpTdhaIKQhGx63WTLzO+PzW52\ntmRnZ2Yzs5P5PM88yb47887JZmfOvN/3vOcYmtsNCQnoXNCR8z7Vty9HcAQ8uZa2bNnCER137tyJ\nbdu24cYbb5TGXpUjly9R+vK4lJQUDA6IwNXw0L9vL6SnpUJpN8zioiLZV2QoOW+W3KSlJknWF0EQ\nYOEpghUIy7rBNn83E5PMSEwy+14TIHDT9VfDnMadfaVpGklJSRzR8auvvkJBQQFOP/10yexWK5of\nCU/HggK43dqkXiAsyyr22lKKL4l1YJHSr51QEASB7PTEyDsK6DcQ/88/Ozub00YQBBYsWBC0Avb3\n339Hv379OKLjs88+i9tvvx05OTmS2+21RWXMEnOwJjoGkEDq4GTi0wkpXXg8e8pwuU1QJJ7K1YDr\n+EmZLWmhY7fOqKh1wKoFzLR79K1Uv/QXJP0ZMGAABgwYwGlLSkpCfj438ua7777DX3/9hccff1wa\nYyXAnJQOe73wZe9qQMkDxszMDEycOEFuMxTJuNO9xdqUU0hGQ8NLKCHSS7iI7iuvvDKoLScnB2lp\n3AJ1jz32GKZOnYopU6aIM1JDMpTsRwCgd+/ecpugSHQ6HS648EK5zdCIUwomP40EiYrHhRPt+ERI\nBjJ79uygNqvVGhQlecYZZ2Dx4sVBPkYIClkSLRqKoj6mafo6mqbXRNqntX400VFiGIZBU1MTTCaT\nLOdXuvCoEV8UFRXJlp/Hcy05YDZLcy0Vbv0MIINveW2ZxzESfD9r/xk9OWlNkAykZ8+e6NmzJ6dt\n7NixQeKkhgen0wmGYWAwyOOmlT5g1Igv5IxQcTgcnlyEqAHI2BX5U9L1wndptdTVU1nSHHbpeWu0\nJkgGEkpYvPHGG5GRITjVlKqx2+0wGAyc4nFiiOY7o/kRDTVht9thNBplf/aOBfVbXgxZ8Iev31ZK\nJe5obLjppps4r1mWxaxZs5CaKk1uYRUt7jyPoqiPWnmfAHBupE5UuNxcXlb++CP+77bbZLVB7tBz\nDQ0pKLGVYeiYiPcwUcSj4AgAthIbBg+I/yWm2dnZ6N69O6dNCQ8tUsGyTOSdwvDYY0/gi4ULJbQm\nerSCABpqYMnSH3HX/f+J6TmUJKzwFRwBYPH36/HA0x/AnNkLpF4ZBRmF0KNHj6BcXWryJWIYP348\njh07JklfQj5TzY9oKAWxUXj333cfFi1aJKFFXIqKihTlS6LRE56avwYrNxyJoTX8EVpcmCAIjBw5\nMug+J9SXqKiQzP0A1rSy/Q7ggUidaJGOEnPO9Ok4Z/p0AMpR/WNFQfdBUe3/7Evv4rqrz0eatQuS\nLeLz0BlTTonugySADoniZ8dJAjCnuwQd+8U3q9G5gwV9u/ZBcj6/XIF/79sn6FzxRH6eBft3rJLb\nDEViybVg3cYNkvXnYlnoVHyvkoPAYgrR8t//vgwg/LJDObDZbLBYLCFnw8VgycnmvW9NTS2efuY5\nzHn1ZZCEE5YccfdvnbMQuekSfMaOEmSliMvzRLqrYMkQHon36My38MCdVyMh0YT8vDxexxSfCu1H\nyeoDKC2rFmyLkrj80gtw+aUXAE71LTtPTxT3nbv43DFa6psYkWg2BxXLkYMtW7YACL/sUE1YLBbe\n+27evBm7d+/GrbfeGtVx4SBJUjH9iOmjpKQEb7zxBmbNmhVVP1I/FyiR+e+8A0BZ11IsnsmE8NTN\n48Ao6HNRAqRKxlU0TX8iRT+a6KhycjpQAACd6xRyRSboIwmgILXA9zraAQnVsyuaHG4wDIPS8hpR\ntgBARnICbKXiBhE5GcmS2JKTmYLS8lpBx+ZmZ8BoNIBhWFTU8BNju/brF/5NtxMpTnElOt0O/lWR\nYw6jIFsUAkEQSElJQY3ToaqJDTX9LWrCf9BBkm7RQh9JcIXGaB6YmxwODOzfzyOAZqfBZisVZUtu\nmhs2W5moPgAgK8MEm61SVB/5+XmwlQrvox/VBXV19UhPSoatjF9e0nDi5KmyXUiXIPDNIX/NLdXD\n938dCpIkkZwkTzqgQMypHSPvxBPNlygTry+JlUAXjS/R6XSwWq1gGEYS0UYq8UeKfsT0UVdXh759\n+0Y9yRju/3l85QNg3MJXfQBA0ojHRB0fL8RzOoKEhNilLpETMb5E80JcNNFRobgYzw1al5AJIZUo\nczp4BEZbqWcwlZvGwFZaIcomS3a6qMiHyRNGiTq/WhnUv3l5aRV/AbU1cTLdDFTUihMdew0ahWzG\n873TCcwDVF14WJQNHELkYoxncvtewHmttuVHQqv7KWn2WC34f6RCPl/vQMI78LDkZIgfEOVaBYuF\nRoMB06efLer8amXalNOiPiacYMUwLMqqxEdpFXTphORcz/MMqRM2KGmsVEfEpT95ubGplhnN0up4\nQPMlHpSwcsr/M4328w3yIwoQ6Dp16oROnTpF3rGdkZKSgjPOOCPq48L9Hxi3eFHXsuVFsM5aZKaZ\n4LKrt9CfkgRHtaVqk8OXqKWQjFSoaySvEGpqapCS4hH9vOKhEDwPGAQIInrRx3aqRPB5NTTcDFBe\n7YkwFCqIpXXoAVKvA9gol9ITBgCA3d4InY5ErOpoyJ3PUUx0itvthk7gAF5qOqZy8+N4B0ZCHbyG\nB4ZhUF9fj+TkxObPUdjDi9d/sKxb0KBVCct2NOIXjy9pAiBcEMseehrYphI4m6J7rklI86z0qKur\nR2KiOWZJzIUOFG0KWL7udjPQ6ZSZ3l3zJR7E/v1OpxNOpxNms1lUP97/hxABVPMj/NE+q2BsNhsy\n00yoaB6XCBHEvGKlkGvA+333H9+LRQkTCVLBMCwIQroIc6nv93L5EhUVkgEAUBQ1D8DHNE1vEXK8\nMp80BCI0cWg0MAwbcRs9YiQqyivgbr6hCN2EEquZEltZFSw5WZF31NAAoPcmayb00W2sA2AdeO/D\nz/Dya/MB6DzBvq1t7YzLLr4Ea37/XW4zNAQS6evMAti5azcuvuRSgNABIEEQwjYxKGnWXaP9QhAk\nCFIX9easpuGspvGvf9+Atau+BeOqBetsfWtPuFxu9Bh1M1wu5eSN1YgOlmUjbm+9+Sbmzp3rO0Yt\nYxINjWjwjkmEfPdZlkVjYyP69evnE60iXXftic17C3HHiytRMPlpyfpUgyCrokIyXjYDeImiqD0U\nRT1EURS/5OHNqEp0FIKbYYI2lg0vLvK5Oe07cACZWfKJc0pdqrngsyXYve+g3GYojg8+/xEHj5yU\n2wzl0Cw+3nPnjfjPo3fBM30WSahExC21Q28kZXdEUrYnb1S+gKib3iOmoqxS2iRlQq7Xr79ZjNPH\njpXUDqnwf9hSw0MDX0I/dJJhNfJIYuHQoUPx888/ixYOxaBUX/Lo40+iySG+GJmaYFkWDzwxF4yI\n1RVqwys+Lv5kFsaeNhgAAYJMCLsBiChKss5aGFM6wpDU8qytlOsk2khSvV4HesO70OuliZpnSWkn\n/jVfwhUwQrXzGZPcd//9ePzxxwHI8zkq5foI5O+//8abb7zhy12o4eHgwYN49513FFOgJBA5lv0S\nBAGTyYQTJ06AbE45FUmg5yNKKlGgzLdao/6MTxvYEa8/dCYAiKoOHivaqy+RGpqmP6VpegqAc+BZ\nfrWBoqjlFEVdyOd41S6vdkfx4B30BVRQyLMDOhhYtyoqIPXp3Q3Zmcq7GclNX6oz0lOTAYhfaiVF\n4n9/lPqwGATB51ZGQm9Mhaupxic8dsts/e87unebBMaFR+jn61ta7VSm8KK0hyihRPN3hPIZLCCr\naKhWTh8zWhU+UWrGnjbYNyBSGvGQa9ArPLa+kwHQeVKA+AuPBd1bz9F44sguUbZFQujnazDoYc7s\nJZkdvD7DKNB8ScvxShmXSEG0RUpiQWpqKgYOGiTb+ZVKWloa+g8YILcZHPyXVscDfK5V/2vae3/I\nz8+H2x0+8jxW10v9lhdF96GUQjLhVr3K4UvU+JxKUVRXAP8CcCWAwwCWALiMoqiLaJr+d2vHqk50\n9IqNanLO0aLUpQyjR2jOPRRjRvT1/FJVKEl/UiT/l4Lk3IEg9YlymxGE3pjKeR3uesnOSES3/sM4\nbfUVh2AK4bcayQ6S2dfWuFgWunZ8vwyFOSkdDXWeKsKaL1Ee5507XW4TFAdBEJhx7kS5zWhXEPqW\nqs96AMVhrpec7DQUdOc+/5Qf+gkJLm7BN6e5u+Q28oXUxz49UWtIWblaSXgHukrwI95lom1ti1L9\nSFZWFiZMmCC3GRzkFmIBIDc3F7m5ubLaoGRiIV75X5N6vT7sNRMqIjdUJXgh3yG5v3dqRP67vrRQ\nFLUeQC6ATwGcRdP0P83tnwCIKGKoTnSUwpnqSRIuhhHcV2NjIxiGgdFsirxzDLBarYp18mokJzNF\nVFEQjdBUVdcgNSVZtkS8oZZRpxhYlJbXcNos2WkwMZEF40BhUmiUo8PhgE6nU0whGbWihEFiTU0N\nEhMToZPpItB8iUa843a7UVffiLTUJNlsKA1VMIZhgp4bLNlHIvYVSpgUGuXY2OSA0SBtZKIGFyX4\nEYZhUF1djYyMDFnOr/kRDTVgt3sCOkwmk2zXdShhMJRQzSddQKi+hC5db3K4YIxV1c84RoWRjk/S\nNP1bYCNN0y54xMhW0b4hMeC/s2cjNy8PN9xys9ymaGjELWdfeAMWLpiDrp3FRxHWFm8GQcbmdsen\nAmmgMOkuXgk2IAo0ocNZvM63bOlS/PrLKsye96bsA5rAytUa0jJjxkV4443X0bdPb7lN0dCIS04W\nleLqW57Buh/ny21KRPhMXvoLk6V7N6ESJMiA6tPdJ1/L63yPPvcxxozog2uvp6IzVCOuKCsrwxlT\np2LX7t1ym6KhEbcsXrwYe/bswezZs+U2xUc4cZFP1KL/sfd/sBLOhuogX/LAPVfysuPcu/+HL1+a\ngQJee7cfFFL8RTQURS1Ac0p6iqL+Ffg+TdM38OlHEx1jwH+e9lRvcrNaQnd/li7/Dampybj84nPk\nNkVRvPzWIlx/xRmwaFcjh42rF3t+ifF11Baz8IHCZGK6G7oErnN3Fq5stQ+vKHnJpZfioosvRp3b\nJa2RGorj119XAQBYRnx1WYJMAMs4ZReqpeDlV17DNddcBUt2mtymKIbyimq8/cFiPPnwjXKboig6\nF+S1meCYb7WGXWItFf7CJMswKKus5USnMC47jvz2Sat9eEXJuc/fohUeijGJZjMa7PKmvLFYLJrg\nGILq6mrMnTMHT8+cKbcpimLjxo04eeIE7rjzTrlNURTXXHMNAOXlmRW6LNr/OIZhUV7TCGt+iy9x\nNlbh1de/bLUPryj58/yrBNkQCqV9vmJoywzbFEURAN4GMAhAI4CbaJo+6vf+eQCeBOAEsICm6Q+i\n6P53KWzUZA6NNqNr144wm4xym6E4hg7sAbPZ6LkNaKieLj0GIsEULJZEKjgSKEqm6A1gyZbrqT5j\npDQGakgGARdYRg9CocU95MRiyYHNViro2GHDhoRNFt5eMZkMGDW8v9xmcLB2sqJcITmGSX0CSJ36\nnj8Cl8Pxyc0YKEpSZ92BBFNLrmPS1HpRHA0NNWA0GjFy1Ci5zVAc+fn5MJnkSQ+m4UGOlAT+giMA\nJJhaX8kUSpScNfpRpJnEV4pWw+Q40LaiI4ALARhpmh5DUdQoAK81t4GiKH3z62EA7ADWUxS1lKZp\nXg/hNE37HhooisoEkARPykodgK58DdRER402Y2A/6Sokqomp44d4ftHSQmq0QihR0j/XX1Lln2GP\n1QRJDSVhKymCJVdY7iAAmDJ5koTWqIOkRDPOnKwNoOOC8g0osZXLdvpQwqQ3/QjLuMA0hh+HhBMk\nWVKbBNCIL0wmE84++2y5zVAcXbp0QZcuXeQ2Q0PhBIqSMxesAQBORe7WohZjISwqbTK6jcXTsQBW\nAgBN05spihru914fAIdomq4BAIqi1gEYD+CbaE5AUdQLAO4AkACgDEAHAFsB8Hr41ETHGOB2u1Fd\nVYXMrCy4WeEFaTQ05ERooRMpaGpywN7YiPS01Mg7xxmkyAIwVdV1IYsitFZspDVBUpc5AtXqWc2g\nKhobG+FwOJCSLF8RDA0NsQgtdCIFtXUN0Ot1SEpWX8EUMb7E4XTDzbAwG7nDgEi5j8MJkoQpDwSh\ng2csoqE0ampqYDAYYDSqL9pXo30gtMiJVFRUVCA1NbVNiji2dZSjmL/J4WKgbx5/pGe11BJpTfuI\nJEiqhTbO6ZgKwD+Xl4uiKJKmaSbEe7UAhOQnuhJAAYDXATwPoBOAB/gerLo1X8mJiZF3ijFHjxzB\nVVdcIasNcgpGGhpi2bn7L9x4+6Mxz+cYb7hcboyedhfc7ug+Fx1JhNwSMgaBAJBOsGE3Dfn47LPP\nMWfOXFlt0HyJRjzz/ifL8MGn38tthuLYc7QCT364FT2n8sr/7oMg9SE3H+7G0FsrmFM7CvkT2hUE\nQYgapN91553YsGGDZPZEa4vmRzTkpmDy00gwCy9+eN1112GPRLlRWZZVTUDSnuM12HeiNqpjCIII\nuwEtomSoLZ4gCGm3CNQASPF77RUcve/5R/GkQNj6yuLmaMm9AAbRNL0aPKpWe9EiHWNAz169sPKX\nX+Q2g0NJtQG5FovghLNSsHb9VpSWVeL2m/hVw2ovPPbcR3jusWsVFR+g08k7HzFqxGB8s/Btj+hI\nxPY2xXdGMcVQj9LympjaEgm9XocDmxZI2mdrEZJuJrzwWMWq44FJydx8800ApCkkoyY++PBjjB49\nEpMnnCa3KYrh0JET+Pm3TfjP/VfAVlohtzk+5IxyBID772i7CeBYF5GRkmFUDoZRnqXShsRMaTol\nWomWiSA8asSWTz79FIA0RRrECqBK4uGHH8YLL7wgtxmKYsWKFTAZjbjyKumKg4hFp4C82MuWLQOg\nrkInAPDCzeOh1wkfZw3rLlzIDUc4QTbehEcCbWrregDnAlhMUdRoAHv83tsPoAdFUekAGuBZWv2K\ngHNUUxR1DYBtAO6iKKoIQAbfg+W/ijVihtJmFjvk56Jn905ym6E4xozsC7IV4aet6TV4JPQhCp1o\nKAediAeEqM4TJkJSRxLomCr9g4aGMlGaL+nfvy+ysiQSSlRCeloyBvXvKbcZHOSevNJQEIQu/KbR\nLlCaHwGAcePGyW2C4ujSpQsKOmljNQ3l0VqEpCIjR1lG2q11lgBooihqPYBXAdxHUdSVFEXdRNO0\nC8D9AH6GR5z8gKbpYgF/0Y0ALDRN/w7gGIB3AfyH78FapKNGm9G9W4HcJiiS86aNlvX8ckeitCek\nfOgm9Vp1wVhiTkqHvV4Z1Z0IUgeWcSvzoUoGRo/SCiMFkpOdgZxs3hPOMUH1voQwADqD3FYAAIgS\nWm4TNDTinvPOO09uExRHv379ZD1/qNyNLrsynsXUSFvkqORLPEUx8qPtUoTRNM0CuD2g+aDf+ysA\nrBB5jiJ4BE3QNM07l6MXTXSMEeVlZUhOSYHeIO+iWavV2uYJaTWUTTwMDCsqq5BoNsNkjP3101bX\niBSCY3lFDZKSTEhK1G7d7QGGYWCz2ZCXlye3KZov0QiiLXxJurW/qONtpZXIykwFqY+9L8m3Wttk\nibXVakVxCQ2dIVlwH6VVdmSmahNX7YWmpibU1dUhM1PeCHHNj7Qv6re8yCutl9xFYiLhdDpRVVWF\nnJwcuU2RFLHjEjfDosnJINEonXCpqsl1ldUloCjqXgBPIaAIDU3TvL4A2sg1DHqShIsRXnn69ltv\nxeNPPokBgwZKbJkyseTyv3GRJAGLxSL6nCRTDatVXCU+nSEDHZLFJTEnTTnokOkU1QcAMDUWZDXV\nhX3/wJZVovqPB7HRy4uvzMeoEYNxyYXT5DZFUbz69iKMHNobF583QW5TNNqAhoYGTJ16Bvbu3RN5\nZ5Vgyeaf2oEkHLBki6twT7qbYMkRHyHIOOuQnSmuyjipN8KSyzsnd0jsFYeQZm49B2i1XdwAoa19\niRhxbcY1j2HJZy8iL18T2Py5582NmHfv6dJ0ZsiWph+Vkmg2o8Ful9WGX1etwooVK/DWvHmy2iE1\nNpsNljD56qMZZ5AkKXpcopQ+pOrn+MoHwEQoWpg04jFR51C62Ojl6NGjuOfuu7Hyp5/kNsVHuO99\nW1Jjd2HDgQpMHybuuUUKEs1muU0IgbpERwD3AhhM0/Q/Qg4mFBLKKqkRdQ0NkvQjRnT04mbF92GA\nG6SIPoqKipCTa4WOqQHjFieO6dAIxu0KareVlkc8du9fB7Fx8w488dBtvPaPRE4GCZtNXD+5+Z1h\nK60UZ4e1O2w2YYn7q6qqMffNdzHzyYeRoS9Eia007L7ZGZErs1cd3wqng5uwPbrQ+QQkWwokyemY\nnDsQpF5kNXkJCsnUFm/mVtcMAZ+ZdzGFZLyziaaUXOgShA+gveh0ekmWV5NpA0HqhAn35qSY5nQU\nesOT1JdIsbyahR6EBEnQpVhezTJOUX24XJ57P8nawTDiHqZIXQIYJvjfxech+tsl3yM7OwuXzDgL\ntlbumXzIzWBgs5WJ6gMAMlJ1ogu4WDt2R2mZMH+0eeseHD1WiBsvGRbRDkt25Gu39tRfcDmbOG0k\nydOXMJ7vu86og94oThROt/YXJTp6IfUJgu91Pngsr+YV6Vi+ASUCn128vqR4x2pJPpeeU28QX0jG\nkA2CFL7s3JzeVdz5W0fIDU/ygZEUoqMUFW+9Yz4p+hHaR1FRESwWC0iSFO1HAITth48veenFF3H9\nDTdgwIABogUcKUQgqYQkMf189umn6Ne/Pyj3TxH7iCRsss5auEP4eb6FYfTN1aZd9irf70IRW70a\nkK7qdKR++IxJxH5XvL7knvMpEIIfuT3MXLAG6VnihUcxn28biI5RG1ZfY5PUlySlWmQNA6Uo6gcA\nM2iaboq4cwi0SEeF42ZZ2EHALCLZdk6uFTZbKXIzEsSLdFkmwYJhVmYG+vftJer8asNgMGDM6BG8\n9i2rjCymEwyL8qoW0TE/iogUd1MNACdS8/qAIIUvRauvOC74WI22Q4zgqBF/eAebYicabTYbLFlJ\nosU+S26e4D569OiG5CRxUYVqIy83GwkJ/B7pbGWRxXQjw6K8qkUoiSYixdXomZzJ63M+QAgX3MuO\nrBF8rEZ8EGPBUSMAKSpPi/UlXrFECQLbiJEjkZgocnJcZfTp29cjJvIoMxHpc89MM6Gi2n9MEl1k\nozeXY9dzXhXlS0789ozgY+VAS0OgFlQX6fgGgD0URW0C4ItAo2n6Bj4Ha6JjG+EW4eRJggTLembz\nhGCznRJ8binJz8tBfp668mGIJTHRjDPPmCR5v9GIjV50vogUAroE4Q9hSZmdQSYkAXAD7voojZBH\nSNAcfHTEOMpRVRBwgWWkiXYEhA/0PINNcREuci/l8TJwgLyJ7pVI54J8dC7IByBODA5EyPI3vanZ\nlxAkdMYUwefO7j4BpE6PaB/c3Q75lrJGzOsoIspRaiSJctSIS8QIj17hUqgvUYofAYApU6bIbYLi\nGD58OACgXkht2zAIXUbti24kSMFRik57FQomP41/fn0a0QardT93rqBzSkEsxyVKrCSvSlSW0xEe\n0fFzAIKiizTRUQBuHl+i+vp6NDU2Ij0rC2BZUcujNTSiQYjgKCUewZKIvson4/KJlCcLS9DBagGh\nT0frDwmt5y5TE3X1dlTX1KNDvpY/Sy2w7sjiSHl5BUwmI5KS0sFCZUm2NRSN3Pm2dMYUwG0HyOgi\nsr2ux25vQn2DHdlZ6QCUU6FTbsprGmHQSzMJoqEM+IiIhYWFsFqtPh+i+RKN9kCLWElE/Z0/svxe\nAEB1XSMS9Dr0nj4rYvqpeLqu7jmfEnV8jd2FJAmLyKgP1YmOjTRNPyv0YFU+dSQLCJV3s0zQxoAN\n2Q54biqtbT8sX4633ngDADTBMQBbWSUsOVlym6FKosvfqDBIPUDq4WKAMy641fParz3kBl3ELdnS\nH4kZ3ZGY0b3V07c285diiDJik2e/0bDvwDHMmrNQsnyOGrGBZd1BG9gmsG570BbJjxAEgadnPo91\n6zcCRHw9zMYLJZWqfAwSDamL38+F0BlB6IzYuusQHn7qLRCEHoTOAJCtbDxgnDVgGiPn7YyVWCuV\nL/lh4wms2qpF9isZlmWDtnDt3qjDSNsF55+PujpPsULNl2i0BTqSlH3ySgzea+ern/7CinWHOW2h\nNiD8NRrqWo5EW0QkisnnuJGuRI09uM6DEBRSY0RaWEbaTX5WURT1KkVRUymKGu/d+B6s6khHPhGJ\nXkI6YBHLBy674opmG1R4EQmkqNiGzxYuwSMP3Cq3KYrh6N/HsOKHX/DUPee0WkSGD1arFTb6gESW\nyYder8f+7cv57RyhQAwAEG6ASDCDcdojCo89mt8/vO+PoPeEFJGR8oFh1LA+GDWsj2T9afCHZflH\n1IbyGWKWos17a46nD0FHq5M1a9ejsqoKt9xwpST9WSzZkhSTkZMff14HUkdixpSeovsyu4tB6pVY\nCTI6xp8+DONPHwYwPK5fXsJjEwhSz0t4zM30TAyVVDRG2JMfUvqSa6aJuIvU+wAAIABJREFU/45o\nCCOagbXUvmTb9u1R2xALlJTO5t1338X48eMlqRitFl6fOxcXXHghlJIMS4oCMGK57ZJhvPbjc236\nX8N8rsX8/HwQBCHZNSOlL5k2WNpviYKLyAhEdU/uQ5p/DvVrYwFM5nOwakVH/4hEuWG05dUAgOSk\nRIwYNlBuMxRFWmoqhgzWPpO2gEzg75S69RnDea3Tkch2Bg8e92/9PuTxWr4U9eAVHJXgS8RCkAmi\nK1grgQ4d8pGVmSG3GYqiS2crSBGJ9jX4Q/CY7AIAlnEhO51blK2q1oTcXO5Kj5KS8DkeQ/kSqSpX\nS4JBS/fBB6mqRqsJKYvJCGXQwIHIzNTymvozZMgQpKamSp0eWCMEfO8HLMsGCePHVz4Axs0Nrkoa\n8VjYPrRxiQwoIzpRMmiangQAFEWlANDRNB25KqEfqhUdleLYdQQhe7SjUmYVU1OTMXniaXKboSiy\nsjIx9vRRAApF91VUVATC7YY+jldYcyCSABFVtMWgN7YM6IqLimDJTkNZRR1nH0t2KvqNvCBiX5Un\nt0hun0bbYE5Kh70+clRTe0EpvqRH925ym6A4+lDez0T8SJFxMyixFcX1sjglQJB66P0EyqKiIugZ\nFmWV3HQdVmtrUVb+S9eU+chO8FyeHkh7qlytlDGJBpfRp2ljkkDGT5gAAKg/Ir4vN8Mo9K4VXxAE\nAb2e60sYNxMk2OdtfzlsH0c8gc6SF8eZuWCNpP2pC3WJjhRFdQPwFYDuAAiKoo4DuIym6UN8jtfu\nBTGCYRicPHECnTp3ltsUjXZGcVGx7MVkxFBTWwen04WsLHkqWQeSb7XC7agPauOD21GHjI4jAACV\nJ/+EvbowaPCRlNWLV1/7Dx5Hj64doNOJv22TaQNB6qIrzqAhD3a7HVXV1cjL6yi3KRrtjOKi+BYe\nS2zlSElOQqJJ/OQV46gFIXISzGq1wnaE+2xuzefpS5x18AqQncddBMYVnEeraNtvEftpdLhRXN6A\nrvnCq4prxCeVlZUgCAJpaa0XwtDQkJJ49yMAUFRai9xMZYxJAI8vCVR5+H7G3uI4APDKlxvR0OgM\n2mfm9RMi9tPQ1JK2JD0rl9e52xuE+lLsvQvgZZqmFwMARVGXAXgfwEQ+B2uiY4xgGAYzzjsfW3ft\nlNsUAJ4blNuuxcprKJ+fV63Hzt0H8PzMx+U2xYdOJywZtv8SOAJEyDxp9eUHW+3DK0o++uyH+Pit\nh2AyyVtExpwkb26d9sbmzVuw8Kuv8e4778htCgCPL3E1VctthoZGRF569SNMnTwa088YE3nnNkKn\nI3kLjZzjEvx8CUHCkBi8JNQ6rPW0SkXbfkNJpR3vLtuPl24dGbUNGsJJNJvRYLfLasP8t99Gx4IC\nXHPNNbLaASgnal6jfeAvtAnhjhdX4rPnI69saiuOLL8XOr1e0LjEP/CBIMkgwbCqvCRi9OLM6yeg\nsKIRdgf/fOftE3VFOgLI9gqOAEDT9NcURf2H78Ga6BgBoUmb9Xo9tu3e5e1EYqvik6YmB556bg5m\nP/+I3KYohi1bd4A+eBh3/Vs5gyK5uWTGNFwyY5rcZrQZpK51EdErSi58/V+Auxj7v/+YE3HT94IH\nY2qfhrxMnDgeEyeOB+ACy+pBaHn7sHvPPmzdtgOPPvh/cpuiGD7/agWonp0xYZgyIg5yqanQGeWN\nppsz+yHPL3wKyaiAUEKkP9Zhk2EFcNo556Ox8iQqjm3ivJ/X95wYWqchN48/8QQA6QrJiClqAzRP\nYIWI2G1LFi1aBKvVihkzZshqh5J4+qmn8MCDD0ItmZq8iPmuLnntUgktUTaRohYDRcnUjJyge4qW\nTqIZleV0BNBEUdRQmqa3AwBFUcMANPA9WBMdW0FPknAx6vnC6HTiXUhJeSNyc7JhK42+0qdOp8PY\nMSNE26AmcnNzoNNpIkLMcFbwqnCtZIJFSQKE39Lov5b+t9XjNVFSQ2qk8CViyM7OQr++WiV3f/r0\n7gZLtlZcR8mUH/tD1vP7i5KNlYUgdC25GFm3A6f++iHssZogqeEPQRCyV8GWgl69enmKpmj4GH3a\naTAajZBXDtZQKoGiZODkA8uyrd4bQgmSariXhEY9GlIz9wL4hqKoCgAEgEwAV/A9OL5H4xpR4XbL\nO9uv1+tw3jm8qqq3GzoVdESngo6QopAMUbUPpWXVcZ3PUaN1TmxYBjKBm1eGaCU3I+tuCilKZvcb\nigRzBnIG3CK5jRrqR25fYs3PgzU/T1YblMawwV4RVro0KvGeh0uJCC26Emv8BchQhBMkM7uOgi4h\nEfrk7rEwS0MjpgwaNEhuExTH2WefDQCa6KhyCiY/HZN+W4tyjCRICiHRHJy2SjGoLNKRpulNFEX1\nAtALAOlpoh18j9dExxhSaiuF0WhAkkJm0eSOTtHQ4MPJwlPIzsqAyaycpM1yc/xkGYzG6IsYhBck\nPQ8FpXveC3usJkhKi5ilaH//fQydOhWAlKCIkBRovkRD6bAsi6N/n0T3bgVym6Io9uw/jm6do1+C\nH0qUzOg01Pe7qy50qVtNjFQOTU1NKCkpQUGBdk1oaPCl3u6AvdGFIRfPRoJZXTnNhf49brcb27Zt\nw8iR0eUGDvcM7H0+jjZCUvmoS3SkKKozgDvhiXAkmttA0/QNfI5X7brO1ET5BYvX57yGP9auldsM\nDlYtCk5D4Tz61Bz8dSD0AEYW3HZAZNVSsazesB8btgbWqhMHQZJhN8AjSIbaNKJH7MPSDTfdhoqK\nSomskQbNl2jEHBH33vp6O666QX35o/Umcc+28z/+ASWlVRJZA+gNKSAIfdjNVXck5GZO7yqZDRr8\nOHbsGO695x5FLY3WJrDUT7xHzO86WIL5i7bJbYaiqKqqwsuzZ0veL0EQITegJUoycFM0LCPtJj9f\nwyM2/gFgjd/GC2WETaiU5198EQDgVspFYcgE66iQ1YQnZr6KRx+8Tcs91cxPP/8GhmVx1fTekvQn\ndml1LjVeEjvE8PmH0juyeOe6y8YB8CyvFktW7/4wJLVecMArPAZSMFLLDykHq39dCQBQiCeRnZMn\ni/Dl/77BQw/cBYslBzabdEuK45U35i/E9LPGYUBXaarbx/tAMTk5EZt/Xyi3GTHBv5J1tLw9+3YA\nQE1h21wzBKENM5QCRVH4dskSuc1QFL/++ivq6+tx0003yW2KInA4HPjPE0/g5VdekaQ/XZhnyXhi\nzKACjBmkRQf7k5WVhcXffNNmol98RjkCaot0BJBA07TggaD2NKDRpowbMxyGBHmjxpREly6dwCis\nWJHeqIx0ABoaGhqhSElJxojhQ+Q2Q1EMGdQbaakpAJxym6Is2knlao32g9iq0RotdOrUCQ4H75Rk\nqockSUyYOFFuM1SLGq9dtf090qKs8b0ErKMo6jwAP0WTy9GLJjq2Q6zWfBQVFcty7rPOnCDLeZUK\n1atH82/iC8loy1SUS/nR1SBkXqKtIQxzUibs9fJGiCsVuXxJWloqJk4Y2+bnVTLjxnjz64mPYCN1\n8R+dwkG793KoKdwjtwkaAlHS0mipsFqtKCoqkuXcPXv2lOW8SkWv12P69Olym6GhoQ6UsSRaSi6B\nJ6cjKIrytrE0TfMSIDTRMYY0NDSgvKwMVgmSNjvAwsAwIOMwVD0nPzh3D+muhCVbXEQdiUbkWrJF\n9uGEJUtcjiSSqUVuprhBDZk4ER1yPJMGhfuWiupLfkggQiXMcDQ1OVBYVIJuXbWlDF7qG5rw16FC\njBjUTW5TNGSirKwcLMsiO0c9FZttJadgyc2Laml0bkbwIwuJeuRmiVtS3FR1ECkGcRFxbrsLGYmi\nugBctchKF1fduN5WjYwkFpX17Tv6oLyiCi6XG7nZ6kr8L4bjJ21wudzISQDIBAVX/NSIGcePH4fF\nYoHJJE0ahnjFYrFwXpMkGdQWLcdXPgDGLU5kOOqsAyEifYKU/bDOWmSmmVBR3SjannimuLQWacnK\nuV6OLL9XbhOwY/t2dOrcGZmZradq4oOYSRRFV64GoLZIR5qmReXd0UTHGPLXvn346P338ea778pt\nSkgs1h6RdwoBgQbk5Kfw3t9mKwtqy80AbKXlgs7vxZJphq1UXHEFiyUHtlJxUUyWPJPoPnIKOqG0\nrBoA0KHfBYL60LvHgXHU897/1N5vBJ0nlhQWleD+x17Gd1+9KbcpiqG0ohaLV2xBXv1euU3RkImF\nX/4PSUlJuOGGG+U2JQiLiIkfHVMdUkgMh600WKC05GSI9iUpOkb0PTw7Ixml5dWi+uiYnI3SMnFF\nPkwMA1t5NSxZaYL7MKcNBngOBKpPHRR8nljy868bceyfIjx233Wi+2IctaqIVN+97xjKK2tx0Thx\n4oqGMBLNZjTY7bLa8Phjj+HxJ55A3759ZbUjEKvVCpfLJehYIYKhzWbjvLZYLEFt0cK4GdF9ZKaZ\nUCGyD6n68QqOmWnCBDdPPkcWLjs/n6ZXaGXoD5bsxLQx3UBF3rXNkHtJ87dLlmDGhRdKIjoC8v89\nMUNlkY4URVkAXA0gGZ6CMjoAXWma/jef4zXRMYYMHzECw0eMAOApJkNKcFE53OKiMRL0aQBY5Bek\novhUiaA+LJmmkEIiH16b+zYuvuh85GZ0FHS82lj4v+/RrWsnnFcwzNfmFR+jxZpBQsczH6O7qQZ5\n/S8OaicJO8BG+R0jpFvW3a1rgUdwJJK0JXHNdOmYjdmPX44TG5aBTBAXlasRn9x91/8BkLaQDMuI\nyP1HGsEynugHnU6H4mJhviQ30xhSSIxEQ4Mdz700Dy8+qxU28vLM7I9w962XIr/ZBdhECKBd0qwg\nDfzCNtPyeoV+g3GAaYrOBtIoXCgN5MpLz262Q8vp6OW8aSMBSLO8OqPT0Mg7hSG5w0TR59cQxhcL\nPcWVpFyiLbYv7/FCBTsxguGOHTuwa9cuPPzww4KOVypCoxPLquz49vejuOXCfqL7yrda4bJX8RYT\nw4mTf6+4DzpTdL6h+7lzo9q/NZ68ZZxkfamF5557DoC09xE1wiL+VqdG4FsARwCMBvAdgDMB7OJ7\nsCY68iAWiV8dAh6ECZCc8vFC8VamlSOPyvBhQ5CSIn7pgFro07s7sjLbvpJ3WHHS0Ri92McE5JIl\nSICvoKEJixoagmGjnSAAANYFlgUIQtzDEIsWX9TWuR0TEhIw7vQRbXa+eOC0kf1hMolbmi0EnSHM\nqgeCiDo6MFCkbKovhWcyPTLmjM5RnautKT/2Bwiy7f8/sUQf7n+vEXcIFQ/Ejo/8j5djTGKxWNC/\nf/82PWesEbMk2mTQY1BPcWmrhBJOnHTZq6L6jrEsG7QE2d1YBT6+RKnRllJTMPlpJLSTv1VOCFZY\n9LaCyaZpeixFUf+FR4B8AcAqvgdromME9CQJV4Tqwk4e1YcZsJwwFaFRj1KLn23t5MePO63NzhUP\nDBkkzRIXq9UK2MUXoxFEqIEU38FmOHGSrQDCzRAZcvj17awASO0W509W7/4wJAlbDlEwUosqiyX8\nBn0M2IB4x6h9gs4I1t0U3TE8aEvhMSFBj3OmaUXJ/DlzkieKTWwKIatVVMoeUYQSKfkIlyzjhL3y\neMj3TGmdeMqWGhrqgK+A6L+fkLFFLAIy2npM0qFDB3To0KHNzqd0khMTMKpfblzncgz9nSR4CYqR\nloKHurZUuzRYQzSCAgOUjTenHQ1gEE3TmymK4j27rLq4TylgGJazuVgWToYJu5EEEXY7eugwXE6P\nsOLfriTkHGRotHPIBM5WbKtCWWVd83u60JujlN8GRL9UXIGs33oI1bUNcpuhIQCWbdk8r9mwGwBf\nJHvg5nA4cPjwkeaJepbznpKwWvPlNkGjHUKQCUHb3/+UodHBACA8E2OBWxS4XcoYfOtNSdAJLA7h\ndLrw8+87JLZIo60I9BVCfUllZSWKm0U95foRbUyiBqJZWq0U9OZ0zkYYUnG8jPX9HaGuqdauxVDX\nZrxz8uRJ7Ni+PSaTDmqDZRhJNwXwG0VRiwD8DOABiqLeAcD7AUnVomNqIjf/WaCYGG4Dgp1xa8Ji\nazz28EMoE5Czqq3RnHz8oqb/3aJvf8LyH9e0vlM4MTJw816arJvfFgq3XfYl4Ct/342aWnmTz2u0\n4C8kRtoIgvRtQPiBYKSBn81WigcffhxEHFTC04TH+EVNvmTmK5/gn5Ot5HkLJUSG2wjA5ajhvSmR\nuvpGLP/5T7nN0PAjGrEi0E8I9SWrVq3CZ5991lZ/omDUdC9qj+RL9P+TW7isbXDg2ffXtrpPpGsx\n8LqMd4Hy6NGjWLd+vdxmxAUs65Z0kxuapp8A8ChN08cBXAlPxONFfI9X/dpDr4gIyBMCvei77wAA\nrjioYNQWyxo+/vRLDBzQD2dPHhjT88QLb77zOaZNHYscv0Iy7Zm7/+9fnl+kWv4ZzTLvEDd0tzO4\nGrjOGN0DUPnR1VHtH8hzD3oK/pw4JqobDREEPv8JyYdIEDqwrFuQHyoo6IilS76O+ji5aIul1o8+\n+QqeeuxOAG2fE1dpuN0MHpn5Nv773J1ym6IYPp33qKT9ETp+0ZGs2xFSeNQlmMBwCgG27fNoRnoy\n3njhVtQU7gGZYG7Tc2u0IHZJs1guu+yyIDuUSluMSY4fP45vFi/GS7Nnx/Q88cLhk9XYdqAUt1+s\nnjyXYoTL9BQTPnn2Aknt4Xvdh71GWQauxlrfy7YWZcePH4/x48dLcg8R00eiWfl+jFVhITuapo80\n/9wOYHs0x6pedNRCf6Mj1k6+f78+yLXwzMnXDhg6uC8y04VX7NRmgyUirDhJgPDLC8kyTribWs/5\nAgQLk9EWVNBQFonJmbDXR/6/a7QQa+Fx4vhR0Ol1Mes/3pg4Vng1YUDzJVIRXpwkoDO0rL5xO4In\ntMIdp6Ee1DYmEbvE0rs8NVwf3vtSa+MSm80muIJ1amoqhg8fLqoPNZGebEDvzuJELKmiHJWEHIVX\nwl5XBMkRGiPloQSUXSBHbfdEf5QQnagkVC86akRPLIXH4cMGx6TfeOX00cIHitogse3hW9TAX5h0\n1JUHRLgA5ozoEpef2LAsqv01NJRALIXHs84YH5N+4xGdjsS508YIPl7zJW2PvwAZDo8w2RIJUldy\nGATBFdpTOwyQ2rSIZHQS/tyS3GGidIZoCCaS2BdNH/FMRkYGxk/QipJ5yU43IztdWASZGsVGKYlV\nDkQhBXL+XnEfdCZuwEv3c+dKapcGgDhY5dqWaKJjjLHZbGDcbmTn5cptioZKUPMAcd/+w+jVozMS\n4jjbbLAwSQQNMO2VkSuNmzM64ODRU2hyOJEOgEyIPEiNFVrlavk5cuQocnMtSEpOldsUDZWgVl/S\nYG9CYXEZenaL76q0gX6DIIigpdE1hXta7cMrSv6xaR96drMiUSLb9IYUiXrSiBYxgqHb7cZff/2F\nAQPaXqxWO0kjHgNW3Ce3GW2OmsXGssoGsGBRILchzRxZfq+g6z5QmHTZqzj9sCyLI8vvbbUPryi5\naNEizJgxAzqdttIkEmpbXt1cqfoOAJMBuAD8COADmqZ5zT5pomOM+XH5crhcLlx7801ymxIVfJY0\naLQ9ah0kern3oRex6Iu5SE+OrrpovBEpysXtqIe9shCHDx5BTV0TRmbUgalrmamMNlISALJ694ch\nKTPq4zSUwexXXsNtt96EIUPELaNta7yFZWKd41EjOmLpSxJMySB1JlF9NNYWgYiyyrSXE4U2zH7j\nK3yxYI4oG+KBSPkZvaLkhnUbYXL1AI5tAvxy0vY545KY2qfBJdFsRoNdvsJwbrcbt992G/5Yt042\nG4QQL2OS9rZEW82CIwD8sfMf1NY7MPRiuS2RjlDLsSMJmV5R0uVmsPjDNRhiWgemqYYTLalFSgaj\nwuXVHwAwA3gfnmLU/wbQD0DrinUzmugYY6694QYA8VFIpi1Y9v1KJCaZcfXF2nIGAHjmhXm449ar\nkMNjGk3tgiMA/LL8Q88vUhWSiVO8ouTUcZ6CS4V/roTB1CIYRoqUFCJKaiib9955C4D/Ysv2zStz\nPsAVl06HJUcrJGMrq8T7nyzDEw9cy2v/1nyJwZQGMkGqeDh5oHoU4KM3HgIAEHpx4qezvjCuc/J6\nRck7/j0ZALD/+J/QGVuiFPf/sjjssZogqT4MBoOv8my8L42WgtraWsx+6SU8P2uW3KYogq0HbCir\nasRV03rJbYoimDGpt9wmxIRoczx6RckEvQ4v3uXxJYxfe6RIyfYqSKot0hHAKJqmfRcFRVHfA9jL\n92BNdNRoFanzO/bo0RUJCfH7AC81Y0YPQaI58qCoPQiOGvxpLWLRUV8RUpSsK0yCzliMtM79Ymma\nhkZIpM7vOHLEQKSkyJdyQEkkmowYM5JftVHNl7Q9taf2gtAZ5TYjJP4CZCDhBMkuI0/BkJiGvD5n\nxcosDY2QSD0mMRgMGDtunGT9xTt5mYlITYwcYa72CEeN1gmsCB4pUjKcINlpykxBBXrioXI1ALDq\nCzg7QVFUD5qmDze/zgUQOV9YM5roqNGm9O1DyW2CojhjcuTk/9ogUSMawgqSzQ8F1cf3hT1WEyQ1\n4oUJY0fKbYJiSE5OxKRxwyLup/mS+KWh7Gib5/UNL0h6fMmp/StDvquJkRrxgtFoxFlnad9XLx0t\nyXKboKFCQomSBZOfBtB6xHW8V7ZW4fLqBAC7KIpaC8ANYCyAIoqifgMAmqYnt3awJjrywEjq0MS4\nQQr48jscDhw6eBD9+veHi2UE9aGh0R6orKpBRUUVunfOBaRYziYwH5gXt71UvA0icDhd+P7Xvbj4\nLOkqvusSwj9Qup11YQXJAk3fkZ3y8grU1taic5eucpuioVBMTBFspZVymyE7JwptMJuM6JCiiawA\n8PfJcpwqrUF62bZWIxujgdCF96/hxMgeU1+S5Nwa4jh27BhSUlKQmanleNaInvYU5Xjonwp0ytOK\n93n5c28hcrOS0SH64MSQRIpyjPcUECpcXv10wOtXojk4jmvE8iMtSd7lVzXVNXjmyScl6csJFowM\nobpadIR8tOln75Ao+bVAwXDfX4fw7odfS2ODRBCkuHmZkv0rBS+rszc6QR8tEXX+aNAlJIfdNORn\n46bN+GLh/+Q2QxTeojIabU978uNLfliPNRt3y22GYqisbsA/hRWS9FUwKPIkGKEzhNw0lMHHCxZg\n27ZtcpshmPZ0L1Ma7UlwBIB5/9uC8mr5Cj8pjZMltaisabvPgyCIkFu8wLJuSTe5oCjKW8GSDbXR\nNL2Gpuk1kfpRvegoN9k52fh6yRK5zfDhAsAwbTdz0NTUhPr6Bt/r9Rs246NPFqKwiCumnDh5CvSh\nY5w2+uDf2LKNm590914af2zgPixt23kAq37/k9O2eete/PDzek7b+s27sezHPzhta9dvx/KV3LbN\nW/fix1+4x27Zvg8//boxwJZDWLt+O9fmQ39j63auzcf+KcT+A0c4baVlFSgsKsE9D83yzeQ0NTWh\nsbERsiJSZBPD2DHD8PKsB2U7v9JISzHj8f+bhsI/V0JnkE/463Phm7KdW6OFc6efjScef1huM2Sj\nrr4BTQ6H7/WHnyzCz7+uQ3VNLWe/XXsOoLSMK7CsXrsZJwtPcdpWrFyDv4+f5LQt/XETjhzj7vf1\n0nU4eISbsuaLb37HgcPcYxd89SvogP0Wfb8BB49y8499s3wjDv/NzW258rftOHaCO+mzdsNOFBZz\no62376JhK+NGMv59vAjbdh7A/I9anjMa7A64XKqbYefN3TfPwMXnannavAztV4DLz428/J4vxpRs\nyfrSaHtmPvMMzjzzTLnNkI2qqipOBNXDDz+M3bt3g2G4QR2rV68Oavvyyy/hdnPvre+++y5cLhen\nbcGKA3C7ucfO/3ZvUNsbX++GK6Bt3uI9QW3vLNkX1Pb+0r+C2r765VBQ248bjwedd8OeU3AHjAUP\n/lOFX/48gU17W8ZndQ3OuI82E8Pch6bBmiNNdLgauGhKbwym8uQ2I25gGUbSTUZua/75TIhtJt9O\nNNGxHdPQ0IDKSu4A5siRI9i2jSukbdq0CStXcpfLrPptDT797CtO2+JvluGVV9/itC1Z+gPmzf/A\n97pDByvs9Q34ctEPnP0OHj6GbTu4SzsrqmpQUlrOaXO63HA4nJy2hAQ9jAbuLHpqShKyMtM4bdlZ\naeiQn8Npy8xIRa6Fu8QkJTkRGenccPpEswkpydyKnk6XK2hgV1ZeieJT3IHi0aMnsHsvzWnbvGU3\nVqxcg6mTxvhmbb755hu8/vrrvn2sVis++OBDzJz5DOfYxYsXY968eZy2tWvXYtmKXzht9MEj2LGL\n+5lWVlWjorIKGu2LxOycyDtptIo5Sfx6EoLQqfIBvrKyCnY7d/Z7w8Y/cbKQK7h9+vn/cPDgYU7b\n6/M+Cbr3P/TEbKxZx51I+s8zc7Dpz52+14MG9Maq3zZg9x7uvXXtui1Bk1qFRSWoq2vgtDU1OeAO\nuH+bTAboddzHIkt2GhLN3GjlLgUWpAb4gwJrNpITuUXBcrJSYTZxfVN6WhKMBm40uNPlDpoMPH7i\nFGpquTZv3voXSmxcQfXLxb+gvLIGQwe2VBt97vXv8efOv32vrVYrbn/0Q6zdtJ9z7DOvfYOtu45y\n2j75+lccOHSC07Zu0x4Ul3DPe8pWAXtjEzQ0NDSkori4OMhHfvvtt0FC3zvvvAOnkzsWuPnmm9HU\nxL0nTZo4MWgyf/o553D2mzRpEp5+6qmg/hZ9/XWQmHjo0KEgW+x2e5DNSabgCfwOOcEr73oWpAdF\nbnXOTwlqs2YnIjC+KzvNFNTW5AyebDp0ojqo7detJ4NsfvubveiUlwxrdotvu/753+Byc/ebfMtn\ncAb4zuueWhbU9tqXO4MF0PWHg3zdiZIaVT4XaWiAdUu7yQRN07c0/5wE4PLmn9MB3Bwpj6M/hEIu\n9JgaUV1fL7oPoTkd/ZEip6OOYaHXtTizEydOoKKiAoMGDfK1rV+rhtVIAAAgAElEQVS3DseOHcPV\n//qXr+3bxYuxd+9ePDVzJvQASJLA559/jv3792PWrFm+/VatWoUTJ07i+uuv87Xt2rULBw8exOmn\nnw4AsGSasHPnLjTY7ejRvSW/WH19AxiGQUpK5Kis3AzAZiuL6m+3WLizKyTRBMYt7iIkCTcYt7jZ\nA1KXAIZhYatoiLxzGHIKhsEWILBarVbY7Xa4XC6kpLTMtBUVFaOpqRFdu7Z89ts3/oS6+gaMHzvK\n1/bjz6tRWVmNqy6/0Ne24NOvYSstwyMP/J+v7b2PvkBlZTUeuesSX6TjT79uQEODHTPOm+Lb78DB\nv+FyudG/bw9fW2NjE3Q6HRIS/B6wxOZjdDcpJqejnMurvUgR6ZiYnQNDUpagY2WKdBR6o4ypL7HX\nixfsWdYtenkICxIEIXzOkHE1AiBAki19bNu+A7m5uejYoWX51PsfLsCQwYMwfNhQX9v9Dz6KM8+Y\ngmlTx/r+jlvveAAXnn8Ozp7Wcr+Y+8Y7GDNmJEYObzn2+xU/ISsjHV26dAIA5GYasXrtBuRaspGd\nleHbr6q6BmaTCUZj5GvYkpMRdO+MeEwW93oiCRZutzPM3vxw1pfA7RLXR+XfW8AwLHT5pwk6PlxO\nR6vVippaO4xGPUfwpI8UwZKdhoy0lsHwz2tpDBrYB50Lcn1tc+YvxtQJQzGgbzdf2x0Pv46rL5mK\nMSNbik/ddO+ruPHqszB+3CiQOo8A+/o7X+LMSaPRh2rxV2s3bAfVswtyc1om/Oob7DCbjL7vZGNt\nEQiR93BjihWE3hR5x1Zw1heCEOmPpKheLUUhmf2/LBad07Fg0GDBkY7dJz0r6twCEXKzjakfabCL\nX57Isqx4PyJBH263GyRJcvpZuXIlpkyZgoSEluvm/vvuw6wXXoDZr+rs6FGj8MuqVUhOTvYdP3DA\nAKzfsIHzzHvLLbfg9ddf5xz79ttv45xzzoGhOeDAYrHgu+++w8iRI6HXtzy32Ww2ZGdnc3xdOCwW\nC2y26NIM1W95kfO6yxnPBkVHRsPJ1c/AYQ8WCaOBJACvrldRLWz1VGaaKehY79Lq8mo7MlNNnP/5\n9v3FGNI7z9fGsiw+XvInrpsxktP2yOu/YvY9Uzht0+/6CsvfuAIk6WljGBZn3bEQK+ddBaapGnpz\nOliWxcx31mLmbeM5x/608SimndaNY0u93YFEU4KvLbDSshAKJj8tqMqyP1Jcb0eW3yu6Dyk+D7k/\nU5mqV0f9wZ/a9Y6kviRv0G2yri2nKOouANfTND2UoqjOAFYCmEPT9Ht8jtdER56IER0P0QdhybUg\nKS0VJEEE3XhO/PMPThUVY8ToFsFo3dq12Lt7D2678w5f29cLv8SGNWsx/72W/+3vq1fjwP79uO3/\nWkSkQwcPorS0FGOaRULAs5zA6XAgx2LxiY58cPg5T//ZPYNOD4ZxhTqEF3pHIZgoB3mBA0tLVmLU\ng81ALFkpsJWKy3VkseTAVloBS44wUQcASJMFbrbloUhH6qLrwF0Hwv8yIvkPtGpr6+Byu5GR2OQT\nHXfvPYgmhxMjhrYMKJeu+B12eyOuuKSl0t/ceZ+jtq4BTz5yi6/tf9+uAsMwuPKy6b62XXtoEASB\ngf1bonGcTid0Op3vYfDgoWPIyclERopREx0B/PzHfvTtkQfixGZNdOSPakVHhmGwddt2jBwx3Cc6\nBvqSP7dsRU52FmdC4s0352HgwAGYMGG8r+3GG2/BGVMn4orLL/W1zZn7JkYMH4axY8f42n5fsxad\nO3VC165dfG1FxcVITUlBklkX1d/BssG+REe4wLiF+xEAINnaqCefgnxJdvTCZSCpRrvoPojK/Sgt\nr4YlOyPyziGoKz4CNmABC6mLTpzuOOJc6A0tkS6kPrGVvbmUlVcjKcmE1PQsn+i48teNGNSvJ/Lz\nWoSqWf/9EBeeOwn9ereImBde9QAevOsajD3NkzOwsbYIT7+8EFdcNAl9e3X27ffLmm0Y3L87crJa\nBitNTU4YDHrf93H77kMY2LcbkjIKNNERwKffbsZV5w/HodVLNNGRH6oWHaurq1FUVITevXuDaB6T\nANxKscuWLsWZ06bBZGq5fm688Ua8+uqrSE9vufa6dumCP7dsQU5Oy2qKG264AXPmzEFaWstqoy+/\n/BIzZszg9Hf06FF07tw5SLRsDf8xq/+Y5PjKB0QHELDOOhBR5LAOJVAOv/JtlNcIjwCv3/Ji1MJn\nIP6CYWaasPufv3DpRcdDuOXCwnv5RSNQsSyLkvJ65GUn+8Qtt5vBsjUHMWNyb99+TpcbT7y1Gi/f\nO9XX5nC6Menmz7BuwbW+75S9thyPzN+KNx6e5tvP7Wbw44YjOHdcT855XS4GCQme8Ve93YHisjr0\nKMgULTqqQXA8VVaHPYdtmDTIM1kol+gok+AICPAlxTvnSepL8gffIbfouBfAKJqm65tfJwLYTNP0\nAD7Ha9WrJaKqshJlpWXo0avlBrZrxw5s37YNB2kaF196KQaPGI7lS5di2ZLv8N7HC3z7FZ0sxO5d\nuziiY9du3TgzfQBwyRWX46orr+S0TZw0CRMnTfK9tjMudOzRDR17dIPdTxQ0pibD2Py+iSBBMPy+\nt/43OL1ej6Iiz3I5a25e1JGK/uSlMqIHaEpDzN+TY82GrdTzeQpOkk34Xc4M/9nNlCQ9AH3zE4bn\n/jiwPxWwF4sLpk8MOvbeO/4V1DZsSL+gmd6/j58MEh1fnvMR9HodHrn/JgDAJ198B6PRiGGDemL6\n2S3R2n8fOwmjyQhrXvtaInyqrBY9OudA3FBVI944fvwfGE1G5OW2RJp9+dXX6GC14ulnnscvPy2H\nTm/A3ffch6FDh+C6a//t22/nzp3oTVEc0fH0sWNgyeFeO++9Nx8kuGLffffe5fudITwDlfETPXm/\n/K/mPKunb9ZVCURR2Mw/MlOvJ1FUVIzc7FTYbCInjjL16vMlZcIqUJsYFmVVLTkuhfgSAgQIXctA\nlXHxj+DPTEsA4AahS/A9np81NSBqkwWeePDGoGO/W/hqUNv0M0cjPyD9yfZdh9Ctcz5HdLzw30/h\nuceux/DBHv/y5IsLMHJYb9x8/TXo1qO7b7+du/ejZ/fOSEriL6TGOy6XGydOVUEXpfisETsSzWbR\nwiMRIoAhkJ07d6J3794coe/JJ5/EhAkT8MOKFXj1tdcAeKILV/zwAzp16uTbb/Xq1Th97FjOsZdf\nfjmMRu4TyaHDhzmRhQDw0Ucf+X73ioRXXHEF5zUAjp/iGwATbkzCuBlpxDqRfSgNqSIdhRSQ8Re4\nXPboJmyzkzzHdD3nVaD52eHuM7j7nPjtGY7gCACGBB3Wf3xdQG8ELjujD6fF4XJj674ijuhY1+DA\n9Lu+wtqPrgXgKZry2YrdyOg8EvOmt/gbp9OJHTt2YOTIkVH9TfFOQ5PTV1RHCsGxPSBzHsZYkADA\nf1bFgSgm6bRIxwicOnUKB2kao8aN9UU6/rlpM5Z9twTPv/SSb7/169bhlx9XYuas531tx48dw9Ej\nRzBpimfJmYtlwLg9US46XehItqYIERv6CJWb+ERjGgKW1UUDV3SM3jnv378fv69ejWcevV70A4LS\nIh2jpay8Cm+99z/MfOxW5FgpXx+CREdXLUBEGR0ZiLs+fCEZxhG6PQBWH9oREUxd6P0DHpp37j6A\nBJJBv34ts5nzP/gfMjPScPnFLRGWr8xdgI4dcnHlpef42jZs2om0tGT069O8/DvOIx29aMuro0Kx\nkY67du+B0WAARfXwfeffmvcOLDk5uOyyi337vTbnDXTt0gUzZpzva1u/fiMyMzPQp4/numBBwuFw\nwmAwhPQHDHjcC1r5pAg+/sFRATGT7i2iY2nknUOwZNlKpKWm4IqLJvgmbISihEhHb5SjELbuK0Jx\nWR0uHZ2FsqoWkVCIL7EOngy9WVikpRdTcnbYCEPWzc+XMC47JzrWi6sptFgT6Et++m0Lxo6fiKyc\nFvH+ptsfx2MP3Ybu3VrElUuuvgsvP/8wunUt8LUtXrISUyaNQUZ6quhIx9pTnsJyYvxAQ5kn76aY\n5dX7f1kMALJFOsoU5QgoMNIREBftuHLlSowePRppaWm+7/y1//43nnn2WXTp0sW337+uvhovvvQS\nCgpavtuLFi3CmWee6YtCZFkWDocjSEz0InaMyCcyS0wUmHdMIiZC8L2lf+HCcV3Qu2umYJHOi9Ii\nHaNl8eoj6Nc1E6cPyvf1IbRidSyX4Dp5ipg6YwrcjTUIfFg58dszIfcP/C42NrmwzzESl15xja+t\nvLwct95yCxZ/842vraSkBNdddx1+/PFHX1t9fT2WLVuGK6+8UhWRjlL2EYdLqwEBvqRw21xJfUmH\nYffKHek4G8BpAL5ubroIwHqapp/kc3zEETVFUSSA9wFQ8AQ83AaPyvlx8+u9NE3f0bzv5wC6AniC\npunfKYo6G8AD8PyjzADeoml6Ie+/LoYUFxfjz82bccGFLfnuNm/ahNfnzsXCr1oKpJSXleHPzZsx\natxYX1svqheuvf4GTn+njx2L08e27ONiGXTo3AkdOneCq/nB2ckwvhufK4y4yEc0FJsXUk6ysrIw\ndOjQyDu2A8xmI8adNoTTJjjKMdZEIeCFGqCxCC+a+d+RBw0eDrBOwPugyzbi9psuDzrmmivPCxLu\nTxadgtPFHQzd/8iLGD60P666/Dxf28pf/kDHDrno37cl6pJhGMFCvEb75s8tWwEAI0cM97X999U5\nMBqNuOvOlrQXf/31F1JTU0FRLTlRz51+Nkxmrjhz/313c16zjBNjThvu+x0AWDIJCcYEtMQmBxMp\n5yMLkQ/BhkywIoVHMfTq2Q2mMAPl9kZedjKSzNx7tFJ9CaHj6Utcjb4l2l4YdyP0Rn4Djulnj/dM\n1rjtgM5zzAfzXwja78VnHkAHay6nbc++g5gwbiRHcBw95SYs/uwFdLRafPt98OkyXDZjClJTWsTA\nUL5E7MQTIE5w9CKF4KgRO7799luMGTMGeXkt+cvPP/98PPvssxg8uOWzX79+Pfr06cNZvvzAgw/C\nYrFw+vv8iy84r1mWxSWXXOL73YvBYAgrLkbyEVKIKWKwWq0+4VEog3tmIdEkQUofFdC7UzqyBC7J\nbkv4ClYsyyIhMXgSLZpIu97GVE4KgqysLI7gCACZmZmYO3cup62hoQH0gQOctsOHD+O6a6/FuvXr\nfW3l5eX4ftkyXHf99b42hmFARAgy0lA+LCNf8ZdYQNP0IxRFXQJgAgAngDdomv6O7/F8wnjOA8DS\nND2WoqgJAF6AR0R8nKbpPyiKmk9R1AUA1gI4BuBBAHcA+B3AOwAG0DRdQ1FUEoBdFEX9TNO0uLCE\nVigrK8OqVat8ofwAsHv3bjz+yCNY7jcD0dTUhH/++Ydz7OAhQ/D2/Pmctn79+6Nf//5ocDvBNIvc\nyelpSE5P84mJ4QglDsazYAiId/AWi6X5wUh8Tpt4JynRjCkTW8LzlTpIlIKoIkXcLk/EJeMEiNAP\nP3l5HYPaLrvorKC2WTPvC2qrra1DUxN3yd5Ntz+Bs6eNx6UXne1rW/bjOvShuqFXj06BXfCiZP/K\nyDspHJmiHBXBjh07UF9fj7F+k0nz5r2DqupqPPH4I762iorgKOdbbr4xaMnZlVd4xHPW3Qi22Q90\n7uS55r1iYihCiYdsmPZ4wmrNh9shfBVCvz69Iu/UTuiYm+r5pckTaalWXxIoQrYGoTO2CJzu8M8b\nPbvmAnBz9nnmPx7h31lf6Gv7aclcJCdxBc/SsqqgQSE1/ApsWvU+sjJbBKEPFv6Gqy8aG1TJPB4R\nms+xPbN06VIMGTKEs3z58ssuw113383xLydPnkRDAzedwUcffcTJoQgAzz33nE8E8f4cMGAA53Uo\nQgkYSilIIycj++ZG3qmd0L87d0WM0ChHpRNNlJ3/9zvc9aXX69GrVy/O+9nZ2Zj5DDeislu3bli+\nYgWnzeFwoKa2ltO2Z88e3HnHHfhj3TpfW2llAzbuPokLJgamv9JQKqyMFadjSDGAffAEH0aVYyDi\nqIWm6aUAvFUiOgOoBDCUpuk/mtt+BDCVpulKAOUA3gTwQfN7lQDuoSiqb3PSyT5CBce6ujqsCLhQ\njxw5gjFjxnDanE4n/p+98w5zolr/+Hdmks0m2d53qUsLvbel914sqFevFbtYwIpeEbEr+hPEq2Kv\niAVFL6iooIBIR1EQQu8Lu7Bsz26Smfn9kd2ws7tpM5OcTHI+zzMP5GTmzJtsZs6c73nLgQMHJG39\ne/fGJ3W8FwGgZcuWuP6O21DmtLs3O8eAizdL2mo3wCUYBrLVcu7sOey37pPzscOSSJ3QkCI9xwKd\nPvxXFoMJz/PYvGWHtJHVB7Yxse5N5JIgMibEmlIQa0qByJjc27RLL0WvHp0kp3rnjWdw8ZQLCWN4\nWyEqKqvgcErz3l19y2NYs3arpG3V6k04ld94iKhcDxfroTP46be9qoVWUy5w+PBhbN0q/Rt+8MEH\nmD17tqStqKioQZjTddddjfvuvUfSNm7sGIwdNQgiX+ne4s06GA2QtNVuYFyCob9bXQ4ePITTZ86o\n+G2QheaZU59oH58LzxVj3wHpgnLAYwlvc22iCJGvhshXI8GsBwun+7XIV2P2PVcgPk6aH3LPlk+R\nkpwgaTtbVAZdHc98URTRbdRDqLZLFxuWfL0BvMJiGPX5ecNe7D0UOfeMcGLjxo04fvy4pO2GG26Q\nhFgCLjGxvFyaYmbxm28iL0+a7/Tuu+9Gbm4uRFF0b6mpqeA4TtJWV9io9YbyZ6vL9m3bYLf7l+rA\nG+EgNkb7PS9YkBYc1agYrYQDBw7gTL3nrUCut9q8q3UXCBiGQWJiouRazsrKwl133SU5T7du3bDm\nl18kbQ4nD1u1dE6yfU8+7npO6uBw+lw51u2oNwaqwCff70J5pfJ7RjQhCoKqG2ksFss9AJ4CcC8A\nE4DFFovlfn+P9+uJ32q1ChaL5X0ArwBYAmlcexmAxJr9XrZarZdZrdajNe+NAWAG8KnFYjkF4JHG\n+v/zzz8lr4uKijB58mRJW3V1Nb799ltJW4sWLfDNN99I2rKzs/Hoo49K2vR6PVizsVEhMZDBmpf5\nB9/1919Y9vnnvnekUKKU8vIKPPPCK8o6qZkwiqwRDKv3utUVIUXGBLBmcPoE92vG1BxXXXO9pLoq\nACxe8DAG9u8mabPuP4rScqnH1vQZT2LXvtOStn/256Oi0r9cP05egN2hrKpvXeTmc9Qa+/fvl7z+\n8ccfMa/eSvOhQ4ewfft2Sdsll1zSYNwYOXIkLrnkEkmb2cjCoBcaCokIbCyRy7KvvsX27X/63pFC\n0TB8dansY3ftPoClX/2kzAD3QhZT4zHZ+AZAIkKKfDU4xgkIdvdrU0pLPP7wze6KqLX8uuwxGGIu\nRAA4nTx27j4Klq2bT8yB0f96ul7FXgHbd/k/oay2O1UXMiOdY8eONVhweuqpp/Ddd99J2hoTHefP\nn4+RNXnca5kxYwY6duwoaUtMTATLsg3ERLkiYqC8+OKLjXrpaxXWQ558CkUuX3/9NbbVW6AOlLrX\nqq9ruf69QKfTSV7npJkxbUgTSf/d22Xi6buGS9rKKuw4mi/NebnxrxN45p3fJG3nSmw4fNL/POVl\nFdXgOPKLDJpC5NXdyHM9gLEAKqxWaxGAPgCmez2iDn67GVit1usBtIPLi7FujEk8gAa/WovFkgSg\npdVqnW21WrsB6AVgnMVimVh/3zvvvFPyOjExEf/5z38kbampqVi8eLGkTafTIT3dPy8epYO2kke2\nocOHY/acR33vqCFYmR4qZ86cwdNPPYXTpcYG+WeijX0HjmHR4qUeiwpFE4mJCfjmy/dDdj5foiTD\nMGDZGCA2S7KZU3JhSGwuabv7tivQvm1LSf9zZ9+E1s2lQt/7X23GmbPSEIoX3vwZ+QXS4hFV1Q50\napuNicM7B+WzRzJvvfWW5HX37t1x5ZVXStpGjhyJ2267TdIWHx+PuDjfHqXBmgD6y4MPzMTECWND\ncq6QwBmRnS0vtG3t+k344qsVKhukTX7aeAjrdxyTPS6HI3KLtwwf0huPPdiwOnYw8CZIujcw4PQm\nxMZnuDdjQiaym+ZK2uKSs/H8o1dJ7iV6HYfXnr1R0lZeWY3/frxeYkdpmQ1zF0gjgQRBQLXdiYnD\nO6NT2+zgfhERxocffojffpNO0C+77DL06dNH0nbvvfc2iLZKS0tDTIzvMHqS4wgAfLp0qSR3ZDTz\n+eoD2HdMfpG4SOKdb/fAycWBoznO8cADD2DipEkhOZdfiww1kS9OW7F7E+2lMLE2SVtuOotrJnaV\n9N+tbSaunyJ1mNh39BxWrpcu1G/75xS+/HmPpM3u4MHzAm6b1gtGA9ncpwSLyMhCFHhVtzCAt1qt\ndd1dqwD4bZg/hWSuBtDUarU+V6fzbRaLZajVal0LYDyANY0cagDwmcVi6We1WgsAnAFwGtJS2wDQ\nYHDnOA79+/f39zNoCkEUNZ/XsRY5+R3NZjPy6j2kRSspyfEYM2owaTPCC96mvAq3irB+FNARYhs+\nuLdomwVnhhmCw1X9r/jUbrzw0EUN9uvWoQnizNIQ7Ek3vYH3X7gaTbMvJL9e/ccZDOyUhtiY8Plu\nwpEXXnhB8vpCDll1MMZnw1aWr1p/FBfZOTnID3Asad4sBykp5EKvwoncJknIzsqC6zGLEo5wepPP\nfWLjG96ruiRloST/L4i8KxQ7Md6Id5/7t7RvjkVez1xJ2/H8Ytz6n0/xw/sz3G1lNid2HSlFXgdp\nTuNgQ7BytSzqe70DgMVC86gFi9owVKWiq5xxBAA6tExGSgItSgYA3dqmIsEUA9d0nxJu+FM1ulZ8\nrEsMgIw40f0+AOR1bYq8rtL8+BnJZujqLV5+u3Yf9h8rwsPTB7qP3Xf0HBxOAZ1aB56+KZAiPlon\nAnM6rrVYLC8CMFsslovgSr+42t+D/Skk8xWA9ywWy9qa/e8GsBfA2xaLRQ9gD4Av6x9ktVrPWCyW\nuwCssFgsDgAcgBVWq/Vnf42LNAwch2oPVaujhbi4OIwYMYK0GWFBly6uvIKe035TtIBnYZIBZ3B5\nzyXldGp0jyuucLUXn9rtbvvpwzsb7Ld9fxEGdJQm8H/k3Z147OrOEiHSVs3DaKDCZLgjijyYMBLX\ntUhuS3kFniKRIf1cXtHFx6noqGU8CpMMC84QD766DK6CkVLMJhbjhrStec/lidKiSQq+f+8OyX4V\nVU7sP1UuER2PFFTipx0FuHlcS3ebkxcgioBeR72dKJFPl9bRkX7GHyaPdFVJd9qo6BhOHFwx0+99\nPQmTTlux+73GhEkAyEkCcpJiJftOG9VBkuJDZ0zC6XPHUGmzS0TH/63dB5ZlMHFwW3dbVbUTMXpO\nkjYECKyQj5YJE+9ENXkAwM0AdgK4FsB3cBWN9gufoqPVaq0EcEUjbw3z49gVAGj8E4CNv21A/4GR\n5+GntJp1NEI6OXM4cuLEKTicTuQ2i8yiJ7XioyfqipKiKOK5Vz7HAzOmIaNLCfjqSjx4uXR/URQx\nqX8TGPQXJoVOXsDF837DyqeGgKsZ4AVBxKpNRzFpRErAXgTRXLk6mDAQIUKeR0dJSSkOHzmKrt0D\nKhinCeR6qUQzOdnhN5bExqWB0ZErjLbrn4NokpOBlNTI81ziDPE+93EJky6OnTqPzTuPYlzXeGS2\nbotMsMhKlv5tUuP0GNhRKrrsOlqGr34/hSeu7uBu0+W0wfZ/8jGgH61eHQkcO3YMoihKKmpHAnQc\nkQedlzRkw4YNyMvLC4tiSYC6RZt8eUzWFyU3/JUPo0GHnpY0OG3FGNAhoUEfXdtlNqju/eayHUhK\niMW1ky6Ee+/Y8SfSs5ujVStpzvxIRIw8R7MfrFbrGACLfe7ZCHQZM0QsfOkl2Gw2VfqSW9CGQgkm\nImuSnYdr05YdWPXTr+oapCE4Q5x7g84EozkOMaYEMAwLvTkVSS1bS7bk3DaYMKEfknPbIKllawCA\njmPx/dMXBEcAsNl5bPz7tORhpayiGs++s76BDZTw5/iJE3jv/Y9Im0GhhC1LvliFg4dPkDZDNYqO\nbwHL+S+gcob4C1uMGUZTPMBwMNSEbqc1zZFsue1aYMgAC9KaXhAdurdKxLx/t5f0W1BUjj3HpAXT\ntv19DF98TwtbyYF0brJffvkF69atI2pDsKACWmAE4/uq6ymnRQRBwFNPPqmK0KdG6oBQozMmSbYY\nYzxijPEAmAbekrVbkyQRTZMhESvvvqovrpnYRdL337t24/Dhw5K2d95+G1u3bAn65wo1EZjT0Wix\nWJrJPdif8GqKCiz9+isAUBxeLSD8lOJAvB0dDgceeugh/N///V+QrQo/6g/sv67fiv0Hj+KmG28i\nZFH4MO2SmmTNvDrCvJbR6TjcN+MKnNlzIROF3kv1aUfFObfwWJ9klsPjTaVFBFiWQff20jyUR06e\nx+Nv/Ir3n7zY3Waz2XD27Fk0ayZ7fKGoTOdOHbHw5RcA0QZBMIJhIytEOxAvlb9378XvG7dhzoPX\nB9eoMKS+h+N7X29FN0s2Wvl2hIt4npl7h++dQoRgrwDD+c4LHCxaNE1Fi6apOH/obwCAId67l2Ja\nU8/vZep16Ntbmms9NcmMeo4tWLpiBwqLynHXtUPcbYWFhdDpdEhOTgZFXeQKGtddd537+Gjnx83H\nkRQXg3EDWpA2JeTUn5c89tqveOiGAYg8P/HAYFkW3//wAwB6jQBw536sFRT98ZT0xHXX/rtBeHWb\ntm2RVq8w8PTp03Hddddh6NCh7rajR48iKysLBoM2fqECH3FOYmkAjlgslgIANgAMANFqtfrltkpF\nR0pI4TgOo0aOJG1GWNCiWTbMZm1V4qL4h/38blUEIcYPDxdvgmSMyQxjivSh0gTg0pqQqsrC0wCA\nZlmJmD9rjGS/ffv24YknnsCyZcvcbfn5+fjnn38wkl7DFBT+cKEAACAASURBVMJkpKehR3da4R0A\nulmykZkaD9hLSJtC0TDeRElTWmqDGm+tc1PROjcVgvNC29RRXVBVLc07+eWXX6Kys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dpYonGHLvYUs/WwajyYgpk8aocA9UKHryFYAiz30OkHHtr/ppLfJPF+D6K8coT+/gLAdYJfcf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\nFhYyYMCAgIkUv+SkJB3buw6bdGz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"text/plain": [  ""  ]  },  "metadata": {},  "output_type": "display_data"  },  {  "data": {  "text/plain": [  ""  ]  },  "metadata": {},  "output_type": "display_data"  }  ],  "source": [  "#--- Show some example time slices\n",  "# list composite labels\n",  "comp_types = comps.keys()\n",  "# initiate counter\n",  "c = 0 \n",  "# set image\n",  "fig = plt.figure(figsize=(22.,18.)) \n",  "plt.figure() \n",  "# divide into a grid, with common color bar\n",  "grid_top = ImageGrid(fig, 211, nrows_ncols = (1, 3),\n",  " cbar_location = \"right\",\n",  " cbar_mode=\"single\",\n",  " cbar_pad=.2,\n",  " axes_pad=.2) \n",  "# loop over grid elements\n",  "for g, node in zip(grid_top,comp_types):\n",  " # go to current grid element\n",  " plt.sca(g) \n",  " # set region/projection\n",  " chart = Basemap(projection='lcc',resolution='c',\n",  " lat_0=-17,lon_0=25,\n",  " llcrnrlat=-40,urcrnrlat=-5.,\n",  " llcrnrlon=0,urcrnrlon=55) \n",  " # mark land mass\n",  " chart.drawlsmask(land_color='black') \n",  " # draw parallels and meridian on border maps\n",  " if (c == 0) :\n",  " _ = chart.drawparallels(np.arange(-90.,91.,10.),labels=[True,False,False,False],dashes=[1,4])\n",  " _ = chart.drawmeridians(np.arange(-180.,181.,10.),labels=[False,False,False,True],dashes=[1,4])\n",  " else :\n",  " _ = chart.drawparallels(np.arange(-90.,91.,10.),labels=[False,False,False,False],dashes=[1,4])\n",  " _ = chart.drawmeridians(np.arange(-180.,181.,10.),labels=[False,False,False,True],dashes=[1,4])\n",  " # overlay precip anomaly\n",  " sm = chart.pcolormesh(lons,lats,comps[node],shading='flat',latlon=True,\n",  " alpha=0.9,cmap='BrBG',vmin=-1,vmax=1)\n",  "\n",  " # label nodes\n",  " #plt.title('['+str(c/4)+', '+str(c%4)+']')\n",  " plt.title(comp_types[c],fontsize=16)\n",  " \n",  " # iterate counter\n",  " c += 1\n",  " \n",  "# add color bar \n",  "cb = grid_top.cbar_axes[0].colorbar(sm)\n",  "cax = grid_top.cbar_axes[0]\n",  "axis = cax.axis[cax.orientation]\n",  "axis.label.set_text('precip anomaly [mm/day]')\n",  "\n",  "# save figure\n",  "plt.savefig('comp_examples.png')\n"  ]  }  ],  "metadata": {  "kernelspec": {  "display_name": "Python 2",  "language": "python",  "name": "python2"  },  "language_info": {  "codemirror_mode": {  "name": "ipython",  "version": 2  },  "file_extension": ".py",  "mimetype": "text/x-python",  "name": "python",  "nbconvert_exporter": "python",  "pygments_lexer": "ipython2",  "version": "2.7.11"  }  },  "nbformat": 4,  "nbformat_minor": 0  }