{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# labnotes\n", "* Wenchang Yang (wenchang@prnceton.edu)\n", "* Department of Geosciences, Princeton University" ] }, { "cell_type": "code", "execution_count": 841, "metadata": { "ExecuteTime": { "end_time": "2019-05-22T16:08:13.135228Z", "start_time": "2019-05-22T16:08:13.068894Z" }, "code_folding": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "**2019-05-22T12:08:13.095528**\n", ">>> Importing Python 3.7.3 packages...\n", "[OK]: import sys, os, os.path, datetime, glob\n", "[OK]: import numpy as np-1.16.3\n", "[OK]: import matplotlib as mpl-3.0.3; backend: module://ipykernel.pylab.backend_inline\n", "[OK]: #---import matplotlib.pyplot as plt\n", "[OK]: #---from pylab import *\n", "[OK]: import xarray as xr-0.12.1\n", "[OK]: #---import netCDF4\n", "[OK]: #---import dask\n", "[OK]: #---import bottleneck\n", "[OK]: import pandas as pd-0.24.2\n", "[OK]: from mpl_toolkits.basemap import Basemap\n", " PROJ_LIB = /scratch/gpfs/GEOCLIM/wenchang/miniconda3/envs/geoclim/share/proj\n", ">>>Import packages from Wenchang Yang (wython)...\n", "[OK]: import geoplots as gt\n", "[OK]: from geoplots import geoplot, fxyplot, mapplot, xticksyear\n", "[OK]: import geoxarray\n", "[OK]: import filter\n", "[OK]: import xlearn\n", "[OK]: import mysignal as sig\n", "**Done**\n" ] } ], "source": [ "# init\n", "%matplotlib inline\n", "%run -im pythonstartup\n", "%config InlineBackend.figure_format ='retina'\n", "plt.rcParams['figure.dpi'] = 120\n", "# https://www.dataquest.io/blog/jupyter-notebook-tips-tricks-shortcuts/\n", "from IPython.core.interactiveshell import InteractiveShell\n", "InteractiveShell.ast_node_interactivity = \"all\"\n", "# https://stackoverflow.com/questions/41125690/matplotlib-notebook-showing-a-blank-histogram\n", "# in case to switch back to the notebook backend, run the 2 lines below, \n", "# reload(plt)\n", "# %matplotlib notebook" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "ExecuteTime": { "end_time": "2019-05-14T17:41:46.007337Z", "start_time": "2019-05-14T17:41:45.936344Z" }, "scrolled": true }, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "
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" ], "text/plain": [ "" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# misc\n", "from dask.distributed import Client\n", "client = Client('127.0.0.1:8982')\n", "client" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2019-05-25 TC" ] }, { "cell_type": "code", "execution_count": 920, "metadata": { "ExecuteTime": { "end_time": "2019-05-26T03:20:47.572831Z", "start_time": "2019-05-26T03:20:47.563168Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Writing wytc/basins.py\n" ] } ], "source": [ "%%writefile wytc/basins.py\n", "import regionmask\n", "\n", "def tc_basins(latN=90, latS=-90)\n", " '''use regionmask to create 8 TC basins'''\n", " #latN = 90 # north boundary lat\n", " #latS = -90 # south bounday lat\n", " name = 'TCBasins'\n", " names = ['North Atlantic', 'East Pacific', 'West Pacific', 'North Indian',\n", " 'South Indian', 'Australia', 'South Pacific', 'South Atlantic']\n", " abbrevs = ['NA', 'EP', 'WP', 'NI',\n", " 'SI', 'AU', 'SP', 'SA']\n", "\n", " outlines = [( (295, 0), (260, 20), (260, latN), (360, latN), (360, 0) ),\n", " ( (200, 0), (200, latN), (260, latN), (260, 20), (295, 0) ), \n", " ( (105, 0), (105, latN), (200, latN), (200, 0) ),\n", " ( (30, 0), (30, latN), (105, latN), (105, 0) ),\n", " ( (30, 0), (30, latS), (105, latS), (105, 0) ),\n", " ( (105,0), (105, latS), (165, latS), (165, 0) ),\n", " ( (165, 0), (165, latS), (290, latS), (290, 0) ),\n", " ( (290, 0), (290, latS), (360, latS), (360, 0) ),\n", " ]\n", " numbers = np.arange(len(names))\n", " basins = regionmask.Regions_cls(name=name, \n", " numbers=numbers, \n", " names=names, \n", " abbrevs=abbrevs, \n", " outlines=outlines)\n", " return basins" ] }, { "cell_type": "code", "execution_count": 919, "metadata": { "ExecuteTime": { "end_time": "2019-05-26T03:19:45.089309Z", "start_time": "2019-05-26T03:19:44.334945Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[0m\u001b[38;5;34mAgung_PI_ens_noleap.lmh_TCtrack_ts_4x_gav_ro110_1C_330k_yr.csh\u001b[0m*\r\n", "Agung_PI_ens_noleap.log\r\n", "\u001b[38;5;34mAgung_PI_ens_noleap.loop.sh\u001b[0m*\r\n", "\u001b[38;5;34mamipLong_tigercpu_intelmpi_18_540PE.lmh_TCtrack_ts_4x_gav_ro110_1C_330k_yr.csh\u001b[0m*\r\n", "amipLong_tigercpu_intelmpi_18_540PE.log\r\n", "amipLong_tigercpu_intelmpi_18_540PE.log.2019-05-01\r\n", "\u001b[38;5;34mamipLong_tigercpu_intelmpi_18_540PE.loop.sh\u001b[0m*\r\n", "\u001b[38;5;51mCODE\u001b[0m@\r\n", "\u001b[38;5;34mconvert_to_pg_calendar.py\u001b[0m*\r\n", "\u001b[38;5;34mconvert_to_standard_calendar.py\u001b[0m*\r\n", "\u001b[38;5;34mCTL1860_newdiag_tigercpu_intelmpi_18_576PE.lmh_TCtrack_ts_4x_gav_ro110_1C_330k_yr.csh\u001b[0m\u001b[K*\r\n", "CTL1860_newdiag_tigercpu_intelmpi_18_576PE.log\r\n", "\u001b[38;5;34mCTL1860_newdiag_tigercpu_intelmpi_18_576PE.loop.sh\u001b[0m*\r\n", "\u001b[38;5;34mCTL1860_noleap_tigercpu_intelmpi_18_576PE.lmh_TCtrack_ts_4x_gav_ro110_1C_330k_yr.csh\u001b[0m\u001b[K*\r\n", "\u001b[38;5;34mCTL1860_noleap_tigercpu_intelmpi_18_576PE.loop.sh\u001b[0m*\r\n", "\u001b[38;5;34mCTL1990_newdiag_tigercpu_intelmpi_18_576PE.lmh_TCtrack_ts_4x_gav_ro110_1C_330k_yr.csh\u001b[0m\u001b[K*\r\n", "CTL1990_newdiag_tigercpu_intelmpi_18_576PE.log\r\n", "\u001b[38;5;34mCTL1990_newdiag_tigercpu_intelmpi_18_576PE.loop.sh\u001b[0m*\r\n", "\u001b[38;5;51mMODEL_OUT\u001b[0m@\r\n", "\u001b[38;5;34mnudgeLongAll_newdiag_tigercpu_intelmpi_18_576PE.lmh_TCtrack_ts_4x_gav_ro110_1C_330k_yr.csh\u001b[0m\u001b[K*\r\n", "nudgeLongAll_newdiag_tigercpu_intelmpi_18_576PE.log\r\n", "\u001b[38;5;34mnudgeLongAll_newdiag_tigercpu_intelmpi_18_576PE.loop.sh\u001b[0m*\r\n", "\u001b[38;5;34mPinatubo_PI_ens_noleap.lmh_TCtrack_ts_4x_gav_ro110_1C_330k_yr.csh\u001b[0m*\r\n", "Pinatubo_PI_ens_noleap.log\r\n", "\u001b[38;5;34mPinatubo_PI_ens_noleap.loopsh\u001b[0m*\r\n", "\u001b[38;5;51mpy_scripts\u001b[0m@\r\n", "README\r\n", "\u001b[38;5;34mStMaria_PI_ens_noleap.lmh_TCtrack_ts_4x_gav_ro110_1C_330k_yr.csh\u001b[0m*\r\n", "StMaria_PI_ens_noleap.log\r\n", "\u001b[38;5;34mStMaria_PI_ens_noleap.loop.sh\u001b[0m*\r\n", "\u001b[38;5;27mtest\u001b[0m/\r\n", "\u001b[38;5;51mTMP\u001b[0m@\r\n", "track_sorter.ipynb\r\n", "\u001b[38;5;34mwy_logview.sh\u001b[0m*\r\n", "\u001b[38;5;27mwytc\u001b[0m/\r\n" ] } ], "source": [ "ls" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2019-05-21 TC" ] }, { "cell_type": "code", "execution_count": 758, "metadata": { "ExecuteTime": { "end_time": "2019-05-21T21:58:42.256705Z", "start_time": "2019-05-21T21:58:42.247489Z" } }, "outputs": [], "source": [ "import regionmask\n", "\n", "latN = 90 # north boundary lat\n", "latS = -90 # south bounday lat\n", "\n", "name = 'TCBasins'\n", "names = ['North Atlantic', 'East Pacific', 'West Pacific', 'North Indian',\n", " 'South Indian', 'Australia', 'South Pacific', 'South Atlantic']\n", "abbrevs = ['NA', 'EP', 'WP', 'NI',\n", " 'SI', 'AU', 'SP', 'SA']\n", "\n", "outlines = [( (295, 0), (260, 20), (260, latN), (360, latN), (360, 0) ),\n", " ( (200, 0), (200, latN), (260, latN), (260, 20), (295, 0) ), \n", " ( (105, 0), (105, latN), (200, latN), (200, 0) ),\n", " ( (30, 0), (30, latN), (105, latN), (105, 0) ),\n", " ( (30, 0), (30, latS), (105, latS), (105, 0) ),\n", " ( (105,0), (105, latS), (165, latS), (165, 0) ),\n", " ( (165, 0), (165, latS), (290, latS), (290, 0) ),\n", " ( (290, 0), (290, latS), (360, latS), (360, 0) ),\n", " ]\n", "numbers = np.arange(len(names))\n", "basins = regionmask.Regions_cls(name=name, numbers=numbers, names=names, abbrevs=abbrevs, outlines=outlines)" ] }, { "cell_type": "code", "execution_count": 842, "metadata": { "ExecuteTime": { "end_time": "2019-05-22T16:08:16.418355Z", "start_time": "2019-05-22T16:08:16.116093Z" }, "scrolled": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 842, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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43N0u+37563y//PXBOtyjYrOaeemfv6Ek7zouvO4eKQshOkjSV/TK7XZRV1lMa1MDxsh4wiLjuhSRF2KoNdQcIC9rA80NNeRlrafZVEOLqa7Xovta/wDSxs9g7JR5jJk8l/iUcfKzLIQQQggxQtksZg4U7eHxOy7t8zYrP3qekLDoXtfZ+P0KrrjmJu695/YTrufk8cThcPYr4avW+JE2fgbNDTWYaitwOe20NTfQ1tzQ4zZ/e/A/JCUmkJaSRHpqItGRYce8tu3CudO4+cZluN1u1m7YQWFJKZkTxzF1cka/e20nxEaREBvF+Wct6XEdj8fD/qID7MzZy3dr1vLJB29iqqvqtI7BGMkZSxYN6HiG28kLZ7JxzVeD2qapqYX8wlIKi0spKT1A+YFyKioqqK+rISw8gtGjxzB+XAaZk8dTU1fPBb28/wOhVvsRFGLEEBqGITQMozEcY1gYEeERhIeHExkZgT5AR2NTC03NTTQ2NrEvdw/ZOzfTbKrtte3Vn7xERuYCxk9fPKgxixPXkCV9Pb2MvOn1eqk+sB9zi4mgkHAMxkh0+mD5duIo2G0WWky1mFsbaW1qoLWp3vdo9j23W9vxej2+h8eLx+sBr5eUsZmMnjiHXRu+prw4l5oDhZ0SaWq1H+ExiYSERRNoMDLr5AsYP/0k+azEMdXWYiI/ayP52RvIy9pAQ80BwDdQQV9ve7LbLOzdsZa9O9YCEBBoYPSkOUxfeA5T5p6OSq05ZvELIYQQQoihUVdVyprPX2XTyg+wW9v7vX2zqQbw1dNUKpS4fzKgV3tbCy889RCvPPsYiWljyRg/iSmZmcyeMY35s6cSYggalOMYSYrLKlm3aRtZWbvJzd1DYcFeykv296sNl9NBftaGPq8/Yepc/n7n7/sb6qBRqVScvHAmJy+ceUz3o1QqGTMqmTGjkvnlhWfy4tP/6lhWXlVLVs4+5s+eSmhI8DGN40QSFmpg7ozJzJ0x+YjrLrvhlj61qQsIIiYhhajoWIxh4YSFhRMe4UvgRkVEEBMdefBOgCgMwYE9fvlQU2di49Zd7MzKYffu3RTk7aWsKK9fvZNVaunbKX40ZD8ND996HrFJo4lOHEVM4ihiE0cDsGf7d+ze+h1N9Z2/jdJo/TGERmIwRmIwRh2cRhJsjCQyNpnY5DHoAuQfak/uXDarowB4fxTt3d7roAUul4Oa8kJqygsB2L72cy7/3T9ZsPTyAccqxE/ZbRbyszeyf/dm8rI2UFG8t9v1ekv4avy0GMNjaG02YbW0dVluMbeQtXEFWRtXYDBGMv+My5m/9HJCwqIG7TiEEEIIIcTQsJhbWP7mY+TtWt9xrdKTiOgE1BoNKrUGjUaDWu1HXU1Fp9vxvR4PbnruuORyOSjOz6E4P4cvP34TAIVCSUxCKsEhxsNKR7gPTl243b7SEh63G7fbicvlwuN24Xa5UCiV+Ov06AIC0QUEEqD3PWw2K6X79zI+cxZ/vefuE6r8w1ff/sB9DzzIlnXfHJP2lUoVoeHRBIeEEhxiJMQQSojRSGpKKrf//sZjss8TyaGewmLgll1xGe//78WOQRb1QQYyZy4gNTWdMWNGMy5jNJkTx5EQF9XvXuQej4d2i5XaOhOvvf0hb772MmVF3V/3Hom/LpD0CTPJnLeUMZPnDagNMTINWdLX6bBRtj+Hsv05fVvfbqOh5kBHj77uhEUnEJ+cQWzyGOJSMohLGUtkTLLcsg0EBYcNKOk7EHWVxUOyH/HzUJi7jefuv5721qZe11MoFCSljycqKprM6bNIiI8jMT6OlOQE0lISiQwPRalU4nA4Wf3DZr5csYr1675nb9YWnA57p7ZaGuv48u3/8PV7T5M59wwWnXM16eNnSA92IYQQQogTQPamb3nnmbtpaaxDqer5Enf8lNk88MD93d4ub7M7eOG1d3nhuWfJzdo8oDi8Xg9VBwqp6vkStmced6+DNm3fsIrzz1rDrt37mDRu1IDiGwoej4f3PlnBP//5ILt39L1n7pEolErik0aTMXEK06ZNY/7smSyYO42gQP2g7UOIn1qyaDbNzU1UVtWRnBhzxBIdNruDZ19+i7v+eDNOh33Ag7j1RB8UQmzyWOKSxxCbNIbY5DHEJo1Gp5ee3KJ7J3S/b1NNOaaacrI3f9sxL9AQxrJb/s3EWacMY2TDL9AQSl1VyTHfT8rYTE4+/9pjvh/x87Hxm/eOmPB9/L+vcskFZxEbHXHE9vz8NCxdsoClSxYAYLHY+HrVOr7+ZiVffv4hNRU//p543C52rPuCHeu+IC55LIvOuZqZJ52P1j/g6A5KCCGEEEIcE3t3/sBz91/f8dpzsBzDkrMv4fZbb2bh3Ono/LVHbMdf68fNNy7j5huXsW7zTh574hm2b9lAfU3FgMpEHAsej5vGppbhDqNbbrebl9/8iEcefoj9e3d1u05AoIG45LGExySSs3nlEcu0pWdM4cxzLuDkxQtYNHe6lM4Qw8Jf60daSnyf1r31jnt57okHj3qfGj8tMYmjiUseS2zy6I5Eb3BopHRMGmZerxeLuYWGmvKOjqqmg8+9Xi9T55/JvDN+2aXnt9Nh48u3niB787c47DYcB3uPH2tDlvT9vxtvobG5hcKCPMqK8zG3NAIQGh7NgpPO4Lxzz2berGlUVtdxoKKS8opKqqqqqa6ppq6mmob6Whobamky1XX8I++OucXEivef/tknfS+6/q/s2vA1gQYjgcGhqDV+/O/xP/U60FVPNH5ago2Rh5XbiCQkLJqxU+aTOGqi/NERg2rirFPYsuaTXn/PX3/tNa65/MIBtR8Q4M+F557KheeeivvJf/LOh1/y1NNPs23DKrxeb8d6laV5vP3UnXzy6j+5/s5nycicP6D9CSGEEEKIY6e8KLfLvHMuvpp777mDzEkZA2pzweypLJj9MuDruVpda2Lf/mL2F5ZQXFJGWVkZlRUHqKkqp66mouPa9li77e4HWThn6pDs63Aej4f1m3fx3dr11NbV09BQj6mhgaZGE81NDbQ2N9La3IjLae+yrX9AEIvPWcaCpVcQGhGLQqFgz7Y1bFr5wRH3W7gviyf3ZfHWa7FcduW1PP3ofcfi8IQYNEVFvZeW6U1qxlTmnf5L0sfPIDw6Ue5gPw54vV5yt39Pfs5GGqoPYKotp6GmvNcay3lZ69m8+iPGZs7H43bj9Xrxetzs37OFkrzuvxA7loYs6fvq8//BT+uPTh9MUHAI/v4BqNRq0kaPw2638/U33/LDho047HYsFgsWiwWb1YLVasVqacfr9aLTB+H1emmsr+51X6Mmzhmiozp+pYzNJGVsZqd5E2aczMqPXmDTqg9o6WXUx7CoeGYsPo+5p11GkMGIVqeXxK4YMpnzlnLfS2vZs+072lubqKsqpbayhOoDBR29LLK2rmXWvJO45dbbOOPURaQkxg5oXyqViisvPZcrLz2XnL37efjRp/j0g/916nVgNbfy+RuPdEr62qztNFSX0dpU7/ubFhKGwRiJxs//6A5eCCGEEOIE43TasVstBOiDhyVJMe+0S9n47fudSs4t/+B1ln/wOnFJo1i8ZClpaal4PV7fxTe+aXFRMZFRUVx79S97LZegVCqJi4kgLiaCJQtndbtOU3MbeYXFvPv+pzz16H14exnE/HCZsxbj8bhxOBzUVVfQWF+F1+tFoVSSnD6eaTPnsHDBApYuWUh6amL/3pgeuN1uPlq+iuKSUkIMBrxeL+0WK1arBYvFisVqxWa1YrVZsVqttLe3s3PLBmqrSvu1n0BDGKecfy2Lzr6qy63noyfNIWnUpD6XfjTVVfHMY/dz7dW/HHAiX4ih8OD9f6WmurLPpU2uuf1xQsNjCI2IJSIm6RhHJ/pr/Yp3ePupO/u9XfG+HRTv23EMIuq/IS3v4LDbcNhtnQrk11aWDlr7hrAoLv31vUyZe8agtTmSBAQaOO/qP3Le1X/E6bBRXryX0vxs3C4HETHJRMQmExGdiJ+/brhDFT9zYVHxLDp7Wad5ptpynrj7SuoPnnAW5O7gN9f5BhCMik1m0rRZzJ07l1MWz2fC2PR+j1A7adwo3nz5Sdqe+CdPPf8GD957V0fy10+rxWJu4dPXHiZ70ze0NtV32T46IQ2FUkXq2KmkZkwlNWMakXGpAzh6IYQQQogTR1HuNp646woAdIHB6ANDCAg0oA8KISAohCCDkfDoRMJjkgiPThz0641Ag5E7n/yCD57/Oxu/fb/Tssqy/bz18v5et3/+yX+Ruze/z7dvdyc0JIg50yczZ/pkpk6dzA3XXI7Dbj3idjGxcR2DwIGvDFlhaTlxMZGEhRoGHE9PHA4nU2YuYF/2lkFv+5DQ8BiWXHgj80+/rNvP2ePxYGlr5sLr7mHfrnXkZa3vU+83nT6YqMjwYxGyEINm+pTx5GxfD4DT5eJXv76NN19+sst6Sy68gXOvuk06DR3n+jJ+VUhYFFGxicQnJJGzayv11b0XdY9LGsXFl11Fa0sTrzz3+GCF2qMTuqYvQPKYTGadfAHTFp5NkCFsuMM5YWj8/H3JqbFDf3uQEAMRFpXAbQ9/wFN/WUZlyb5Oy2qrSllZVcrK5e9x78F5uoAgjBHRhEdGExkdS0x0DHHxcSTExZGcFE9KUjw6f38am5oxNbXQ2NhMU0sLTU3NtLWZOw32FhWXyj9+eyaNdRU9xldXWYrH46a6rIAN37wL+L5oUSm9PW4jhBBCCHGsNZtq2b97M16vh6CQCMKjEzBGxKJSa4667aLcbXz51hMdr63m1j4NJh0cGkHEwSRweEwSEdGJeNzuHte3Wcxs/2E57a1NqDV+qP20aDRaNH5agkLCCA2P5YrfPcSkWafy3WevULhnKx5Pz+0dzm6zUFBUclRJ30P2FhSzbt3GPiV8ATatW93pdUCA/zEdpK24rOKoEr5qtR8h4dEEGsIIMhgJDDb6ygkefB4aHkP6hJnYbRaqD+zHVOe7FdpUW9FxW7SptqLbMhBH8tqb7/dpPA8hjgc1dSbOOu9idm5e02n+qImzufy3/yA6IX2YIhP9sficq9ny3Se0NTd0zDNGxHDvP/7N9MyJjB+b1mkwyeaWNm6/635Wr/wKl8uFUqFEqVKiUChRKpVMnzWXxx66l9joCHJzc0d+0jc1YxohYdFYLW3YLG3YrRY0flr8tDr8/HUHpwG+qdYf7aHn/jq0/nrSxk0nKl560gnxc2EwRnLrQ+/xxZuPkrNlda9JWKuljcqyNirLeu/d0RfrVrwD3t6Tt91dWFjMLQQGBkp5FCGEEEIMqQOFu9m1YQV7tn1HRfHejvlanR6H3YoCBSqNBrxeUsZO5RfX3k3SqIn93s//nriD2oqifm/X2lRPa1M9RXu3d8zr7ZzprafuZPvaz3ttMzVjGgGBBqYuOIuLb/gr1Qf2k7NlFft3b8bhsOF1e7BZzV22+8Xl13HKwtn9PoZDnC4Xb72/nOeee54t67894jljp31fctWA9zsQo9OSmLN4KZu+/7rX9aLi0w5el/uj8fMnNCKWSbOWMG7aIrT+AVjbWzHVVviSuHUVmGrKKdq73TfQem1Ft+/zQGh1esaMz+TRR/7NkkUD/4yEGEqV1XXMmDWH6vIfe4n6aXVcetO9zDn1Erk2PIGERSVwyz/f4fE/X4a5xQRAY301f77tt1x42TXc+cebGTsqpWP9EEMQLz3zMPDwMEXc1bAmfXX6IDweN3ZrO23NJgxhUVz+2weJTRo9nGEJIY5j+iADl950H5fedB/NDTUU7d3e8ago3tvnXh39ctjJ++SZC7nh+hsZlzGaUamJmJpaqKioZvO27WTn7CZ751YOFOf1uZabEEIIIcRgWvfVW7z99F3dLjs0PoIX8Nh950wFOZt46Pdn8+cnvuh34nfslHkDSvr2V/WBI3+JX5qfhcfjZs+27wCISRrNuVfdzrV3PAWAw2bl978Y22W7utoa/vKPxwgNCSE0NARjaCjhYb5HZLgRY2gwdruT1jYzrW1m2traaW1rp63dzKrvfuD9t16lvqa838c0be4pPPvEg/3e7mgolUo2rvmKDVt28czzL/POq890WefcZbez9LLfdZlftHc7T/1lGdVlBVjMLYMUj4rw6HjSmiicAAAgAElEQVRi4hJJSEwmJSWVtLQUxo5OZ9zYdOKiI1AqlYOyLyGGyktvvNcp4RsWncCv//Ii8SlSj/pEFJs0mlv++Q7/+fNlmFt9g3a2tzXzxov/4c2Xn2LBKWdz2x9u4azTFh6Xf6+GNembu/37Tq8bag7w2J8u5qIb/kp8SgaRcan4aaXGiRCieyHh0UxbeDbTFp4N+AZYqy0votlUQ3NjLc0NNbQ01tJsqqXFVEuzqeaIJ6lqjRa1RoPd6htA8nATps7lsssup6y8nF3ZOTQ1NdLS3ExzcxNtLc20tTZhbm2RhK8QQgghhoXX62XN8tcGtG1DdVm/k77nXHU7a794Y0D764+ouNQu5b0AFApFx/naT7/4ry4r4JWHf8fD7+zCX6fHz1/H+OmLu1yDrl/9BetXf3HMYj/c+CmzWXjSEiZNGM/Vl1+ARj10l+Nut5usPfls2rqLnbuyKC4s7Ha9rWs+6ZL09bjdvPKvm2msr+z3foNDI4iOTSQ2PpGklBTSU1MZnZ5Gxth0xqQl4ed39GVGhDie2O0/li/R+gfw5/8sJzA4dBgjEkcrLnkMt/7rPV5/9A8cKNzdMd/jcbN25WesXfkZaWMnc8Ovf8tlF55NYnz0MEbb2XFX07e9rZnXH/1Dl/kPvLqBsKijr7MkhBi5/HV6kkZPIolJPa7jG0zSlxB2u13o9MHo9EH4BwSi0wfxycv/ZM3nr3a77Z6dG7lz58ZjFb4QQgghxIC0tZhY//XbbPnukwH1vB2buYCJs5b0ezt9kIFZJ/+CLd993O9t+8oLzDz5Anau/7LTfKVSxajxU7FZ2ykr3Nv9xsA3H/wXlUqDUqFg6oKzGJu5gOyN31CYu/WYxdyT3KzNhEdEcdH556Dz1w7JPt//9Bvuv/8+9u/Nwm6zHHH9Oade0mVe4d5tR0z4Zs5azLjxE0lOSWZUeipj0lPJGJOKIShwoKELcULSan/83VYolJLwHSFik0bz5yeWU5i7jTWfvULWpm86dfYqysvmjluu545bfHV/R42dxMTJU5g+LZMzTllIUkLMsMQ97EnfsMg4UkdnkL1tQ68F7/0D5J+FEOLo+Wn9iYhJIiImqcuyqrKCHhO+QgghhBBHy+m0U7JvJ9b2NhRKJQqFAqVSheLgLaFtzQ00N9TQbKqhqaGG1qY6IuNSueym+3q8HioryOGJe67o0wBqPQnQBw/4Dsvzr7kDnT6I75e/DkDS6MmoVCrcbjcetwu3y4XH46KtpZH21qb+78DrZdKsJVx43d189NI/OmZ7PG7yd2/rdVOnw86Kd5/uMj8mcRSX/eYBmk3V7N6ymrYWE5a2FlwuR79CUygUJKRP5MD+nD5vs3blZ5yy8jMAvlq1jqWnzO/XPvuqqbmVf/z7aR576C9HvAstJCyamSedz8yTf0Fc8piubdVXHXF/u7Z8T0VZEZEx8QQHGwgMNmAwGDAEGwgJCSEkxIAxNBSjMRSj0UCEMZQwYygR4aFDlgAXYijo/HUdz51OO263C5Vq2FNvYhAoFApGTZjJqAkzMdVWsPaLN1j/zTtd/v821lezpb6aLeu+4SVA46flmRf/x/XLLh7ymIf9J89UV4mpri+3iUixayHEsRUYHIouMLjXiyalSo0+0IBSpQa8uFxOHDYLTkf/RiF2OR2s/eINFp297CijFkIIIcTxzGppY8+2NWRv+pbcbWv6PchVSd4uYhJHcfrFN3W7fNeGr48q4Qt0lMoaiJDw6I7xFnrj9XppaqimvHAPBwp3c+DgtLWp/gh7UKBQKFjyixsIj07i09f+ddR1hKsP7OfDF+/nsQ9yOO/qP3XMdzpsWMytWC1tWM2tWNtbsVrMqDV+aA8NNH7YYOMB+mBqK4t58HdnDiiO885cwuq1G1kwe+pRHQ/Axm3ZrF6zji1btrA7awflpfk9JntDI2KJT8kgLiWDMZPnMnribJQqVY9tT55zOqMmzmb/7s29xlBfUz6g+saHmz5vCa+8+CwTM9KPqh0hhotO9+MXaG6Xkwd+cxrnXX0Hk+ecJoO4jSBhUfH84tq7OOuKW9iy+mPWfP4qNeXdl81xOuy89dbbP8+kb1+1NtWhDzIMdxhC4HI6sJhbUKn95GdyhAkOjeBPj31K3q51qDVaAgIN6INC0AeFEBBoAIWSbWs+5fvlr9Fsqjnq/b3737/Q1FBDypgpRCWkER2fNghHIYQQQojh1tpUT86WVWRtXEF+1sZ+9yD9KZez5+0nzzmNtV/+D5ulbUBtX3Pb40ydP7CkZX8oFAqMEbEYI2KZPOe0jvnmlkbMbU08fddl3d75eXiOZMrc05ky93Tqq8vI3b6G/bu30m5u5sD+3Vjb+574Tkif4Es2/yQBo/Hzx2D0x2CM7HFbm8XMgaI9NNZVYqqtoLGuAo2ftlMHgKS0cUyYPJXC/flUlBbQ3tb9mBJOh509uflHnfS9+Kob+fDNF3pdZ8rcMzjp3GuIS8lAHxTSr/b9dXr+8K/3MLc2UVmyj8qSPCpLfdOqsvx+d37ozfYNq/jDH+9i5RfvD1qbQgylxIS4Tq9ryot4/oEbAPjjox+TmjFtOMISx4jWP4CFZ13JgjOvoKGmnL9eu6Db9Q6UFvL1qnUsWTxnSOu5D9meLrrhr1SV5uFyOjHVltNQc4CWxrpO6+gCg4lPGUd8SgbxqRnEpYwjJnGUDOYmhozH46G2ooiSvF2U7c+mxVSHxdzS8Whva+50Mjp++mIuvO5uYhJHD2PUYjBFx3effF396cssf+ORI9ZC89PqSEwby6gx4zCGGvns/d7LRXzz/o+jJl/+u3+yYOnltDbVU7Y/B7fLhUKh8N3+iQIUHPx2WNFpvkKpICImCWNkvHx7LIQQQgwTt9tF9qZv+H75GxTu2dJlQNi+UCpVhIRF0tpk6pQojkse2+M2KWMzeeDV9eRnb6SsIJuS/CzKCrK7JFCVKjURMUlEx6cRFZ9KVHwq8anj2b9nCx+//CCGsChCw2MIDY8hOiENnT643/EPRKDBSKDB2GtPU4DW5gbfYHOjJxMRk8Tic64hffxMHv3TJf1OeKtUGsZOnsdXbz95cE7nz0qpUpM2bjpjJ8/rFFd5US6P/emSI/bWDo+M5ouP/gf4ri/KKmrYtnM3OXty2bhhA2tWfIxSqeKUsy7i/668sF+x/5Tb7ebzD/53xPX2bFvDRdff0++E7+ECg0MZM3kuYybP7Zhns5i59aLxA26zO5FRUYPanhDHgsfjYfe+QtZt3Mb2nTvZk5NNYd7uLnmuwz36x4u5+R9vdvodEiODQqEgPDqB2KQxVJXld1leUrCHM09dSGBwKDPmnoQhOGhI4hqypG9G5gJOOf/aTvMcdhum2nLaWkyERycSGh4jCQtxzLldTqwWMzZLGzaLmab6akryd1Gan0VpQXa/egnkbv+e3O3fc9J5v+Ki6+454smqOH61NNZ13CqoUChRKJUolUoUCiUVJfv48IWutyyGRycwYfJ0MsaNZ8rkicyaNpkJGemoDv4cNLe08dkHr/U5ho9f+gdrl79OZWnegI4hKCSc5DFTSBmbScqYKSSNnowuYGj+mQghhBA/V9b2VjZ88y5rPn+dxrqKHteLTUzn1DPO4dJLfsGiOdPxeL3syy9i5Zp1lFdU0tLSjEKhYNeObTTWV3faNjwmgd1bVuN02jFGxmGMjCPIENZx7aQPCmHq/DM7euy63S6qSvOpLM1Dpw8mKj6ViOhEVGoNXq+XfbvWsf7rt3nrqbvwuF1dYlWr/bj2z08xZe4Zg/hOdc/r9dJYV4HL5exx+U1n/jgWQ0zSaC77zf2kj5/JSw/9dkA9nEvzd1Gav+uI64VGxDL7lAuZf8YvMUbGkb15ZZ/Kc4zJGIfFYiMgwB+lUklKYiwpibFccv7pQOdBy602O5XVdZiaWmhubqWxuZl2s4XwcCNpyQkkJcb22itMpVKROXMhW9Z902tMLqedwtxthEUlHDH+/mhv61udZpVaQ4gxEp0+ELfLicNuw2634bTbcDhsHaUo7rn/Mf50yw2DGqMQg+3Zl9/hz3/8fR/K03Tm8bgpzN0mSd8RSqFQ8PsH32LlR8+z6uMXu13H3NrEmhXHbvDTnxrW8g5+Wn9iEkcRw6jhDEOc4LxeL031VRwo3ENlaR7trU1YLW3YLG2+5G57W0eS12ppw2m3DXoMaz57hfDoRE4+7/8GvW3Rf263C6fdhsvpICDQ0CUZ7/V6qa8qpTB3G4W5WynM3UZ9VWmf258wdS6/v+VW/u/yCzoSvN0JMQThp9HgdHa9iFEoFISERdHe1txxS5zNah5wwhd8g7/s3rKK3VtWdewjOnEUKWOmkJoxjcx5S31lKsSQ87jd2O0WvB4PSpUalVqNSqnuGMRHCCHEiae+uow1n73KxpXvY7e2d7tOesYUTj/zXK765UVkThzL+s27WPX9Dzz878fYvWsLprojD5Cl9Q/gnzef0yU5q/HTEhoRR1hkHKERsb5ppO+1MTKOuJQMEtK69sB855l7WPfVm73u0+Vy8Ppjt5OQNoGwqPgjxtgXZft38/HLD2BuaUKt8UPjp0WlVlNbUUxLYx2BgYHd/k/8aY/p6rICHr/jUqYtPIf66rJBia0nTfVVfP3uU6z57FX++NgnRMZ2HQi4O2+/8jRvv/I0/gGBBIeEYQgJIyjYgM1mxdLehqXdjNVixtpuxuXsvTSCUqnCYIwgPDKGiKgYomNiiY+LJz4+ntBQAzt27KKyorRPcQWH9ly2YqCMkfGcdtGv+fbD53pdb/bC0zj1tNO56PwzGT+m55Jmbrcbi9VGTZ0Ju92B0+nE5XbjcLpwOp04nS6cLhdOhwuny/dapVYRqA8gMECHXh+APkBHYKDvdW/n6kIM1L1/u6vfCV+A2KQxzDl16Ou6iqETHBrBhdfdw4XX3YOptoK9O9aSu/178rI39HiucCydMDV9hQDfLRQN1WUcKNxDedEe37Q4d2AjAQ+yI52wicFRtn83qz95EVNtBU6HDafDhsNu9z0/2FPg8Isi/4Agxk6ZS0bmQlxOB0V7t1GYu21A/6QB/v7Qk/ztjt/1ef2eEnp+fn40NPjqAs9eeMYRe2cMhNfrpbqsgOqyAjZ++z4fvnA/C868gpPPv5aQMLlt7liprz7A3p1rqa8qpa6qlPqqUhqqDxARl0x1WUGX9VVqDUqVCpVSjVKlQuOnJSwqgci4FCLjUoiKSyEyNoWI2GS0/gHDcERCCCF+yu128ddrF/a4PGX0RGbMnodKpWLf3lyuve5bCvN3D+iCr6fSUk6HnbrKYuoqi7tdbjBGkjlvKVPnn0XauOkdX4JvXfNJl3XDo+KxWdsxH3ZObbO08fwDN/DL//cPmk01VBTvpa3ZhEbrf3AwMx1hkfFMmXtGn8rxffjCfRTmbu3LIfdo6vyz2Ln+SwB2/LCc+NRxNFQf6PfgeD8VnzKmU3KwsaGWtmZTx2ub1cybT/yJ866+A6VShcfj7lO7NosZm8VMXdXAk9Mej5umhhqaGmrYv/fIvZO7ExQSzrzTL2P0xFkDjqMnCoWCC351J6f84np2/LCcLd99QllBdpf1Nnz3JRu++5K///lmImOT0Gp1OBw2nA47TqfDN3XYcffQ43ug1BotIcYIMiZNZeaMWSyYP4eTF8wkKFA/qPsRPy8ZEzKprSztdZ24lAxuuPs5/AMCUas1qDVaNH5a6fDxMxIWFc+CM69gwZlXHMxFbCd3+/cU7N6Mtb2tx//fg0kxkFpTfWpYoRgP7Dn0+i/PriQ2aXjrnj5623ndjvQaFZ/GbY9+NgwRid643S5qyot+TO4W7qGieO9Rn9QdCwvOvJJLf/13VGrNcIdyQnLYbdRWFGG1tGG3tGOztWO3tvtOlK3t2K2+aWNdJXt3rB22OE9eeiErv3gfpVLZ523Cw8NxOLoOvuJL+jYAUFRSwQUXX0Z9bRUTM2dy6pJTOe+sJcTHROHxevF6Pb6px4vX68Xj9eJ2e/B6fa/b262s37Kd9Rs2s2vHNvL27OhxwBDw3bJ5ya//zoIzr+j/myB6VVaQw2N3XNLtQDT9uUjsSUhY9MFEcCqRcclExqUSGZtMeHQiao3fUbUtxM9NfVUp/7717G6X6YNC+dtL64Y4InGi+fNVM2kx1Q5KW4HBRnT6IDRaHW1N9bS1mI68UT8cngDeteFr1nzeecyBsMhYnnjmec494yQuufIGVnz2dp/bnnPqxSy79ZEjrveP3y6lonhvj8t76ukLsOz6W7DZ7di9/nzw6qMdyfOQsGgeeHU9pflZ7Nu1nrys9ZTk7er3/9uU0RPJ3rGpIxHocDiJik2guZvPV6VSg0Ix6MnJwaJQKolLHktqxjRSM6aSmjGd8OiEIU001ZQXsnXNp2xd8wmm2p5LngwXpUpNyqjxTJ46gzmz53DKojlMnjCmX+f44ufN4XDyyFMv8eC9d/Z63XXl7//FvNMvG8LITgytTfU88OuTul02b+kVnHfNnUMc0dCrKivg/ptOPXzWBK/XmzvY+5GevuK4YbdZKMnbRWHuNopyt1GSt/OIg2b9VGh4NJHR8egDg9AHBmJpb6ehroZGU+dv6weDMSKOqQvO5OTzryU0PGZQ2x7pXE4HJflZFORsoiBnI8X7dg1LT2mFQkFiWgbTZs5l0cIFnLJ4HkF6PW6PB4/bg8vlwu314HK5CdQHkJoUd+RGByAtJZ6c7euPuo2rLzsf8PWI35mzj9VrN7B58xaydmyhdP+P/z9cLgefv/GIJH0HmbmlkRf+8etuE77AUSd8AZpNNTSbaijI2dRpvkKpJCl9Er/87QMkpk/EYbPy7YfP0WyqITDYSKAhlEBD2MHnRoIMRoJCImSgVCGEOAqjJ85m2/f97ziiVvuROGoiaeOmkzZuOikZUwkOCWf/nq289u9buiR8x2fO4fSlZ3HZhecxdnQKeQUlFBSXUlxcSklpGRXlB6iqLKeuugJTfXW3NXpbGuv4fvnrfL/8dQIP1gI+vPOPqa6KKy8+h3MuupqXnn2chXl7KM7P6dPxbPnuEy741Z0EGcJ6Xe9Iy3uiUCh4+tEfx1aIMer49wO+hIC1vRWVWkPa+BmkjZ/BtIVnU7h3GyX7dlJZmkdNeRGOg9cTBmMUiekTCAgKIWvjik69rksKdvPy/z7glpuuAcDPT8Mvl13Ps48/0CUedzfvLwoFfn5aVBo/NBp//LT+qDQaVMofE8QWcwt2a3uP5wkDpfHzJ3nMFDIy55MydirJY6bgrxveXqzRCemcu+x2zr7yD5Ts20HujrXs3fkDB/bnDGiAw8HmcbsoysumKC+bj99+CfANUpc5cz5PPPovMidlDHOE4njn56fhrttu4q7bbsJqs7N8xfd8vvxLflizkvKSH8v17dm2RpK+YlhJ0lcMm7YWE0W52ynM3UpR7nYOFO3p9iS1J5GxSYwZN4lJkzOZPWMaM6ZOYtvOHD769DNydm0nN2tLv5PGh1MolRgj44iMSSYiNomImGQiYpKIONirTpIlPTtUM9fc1oTb6cTlcuJy2qkqzSc/eyNFe7cf9Qlv5qzFjJ8wCX+djgCdDp1Ohy5AR4DOV8crIECHUqVk3bqNrF2zisK8LFQqDaPHZzJj9lxOWrSApUsWERkeOkhHffxQKpVMnzKe6VPG03T1ZXz21Wr+9a+HyMv58ZbKqPjUYYxw5PG43bzy8M001ld2zItNTCclfQypaemMSk8nPCyU4KBgXx06lwuX04XD6cDpdPt+R1wuXC4XTc0tFBcVUlpSREVZUbe9jH7K6/FQWpDFV28/yY1/eYGXH/4dOZtX9rqNWu2Hxt+fkLBo38MYhSEsipBw3/OQsGhCI2IIDo046vdHCCFGovlLLyc4NILmhhpqyguprSzp+BJboVQSHBJOcGgEBmMkwaERRMWlkTZuGomjJqLx+/E80uv18sWbj/PVu092DGYFoA8y8OR/X+ZXV14I+L7UtdkcpKYkEB0dwYzMiVhtdqxWGza7A6vNhtlsobComK3btvHtFx9iMXcdoNjcSy/i5R++TnhEBFs3/cD5lyxj3tnX8fCt5+H1ejFGxBATl4TD4WD/3p0d23jcLnZvWcXc0y7t9f0KNBj79sb2os3czuuv/Fg7Ntjoq1Frt1l447HbO0o/dKelsZbdW2vx0+pYeNZVGIyRfP3uU1jMvl56q1d/15H0BXji4b+RnJTEqlUr2ZebTWXZ/k6fTydeLw67Dew2rPR9UOjB4HTY2L97M4npExgzee5xdeu4UqnsSMifu+x2zK1N5GdtoKJkL0qlqqO2s1qj7Xh++Gu1WoNSpe5UBkupVPleq3587fG4D5Z9sx8s92bveO2wW6ktL6IkfydlBTk9Xh+aW5tYt2o5/3d9C1lbhu/OQnHi0flrWbpkPiZTI9ExMXz8wTuUFOwGID97I263y3eHgBDDQH7yxLBY8d4zfP6/R3o+cTqMQqEgNjGdseMnM2VKJrNmTmfh3OlERRipqqnn7Q+W88LLL3P9r77DZulf6QeFUkl4dCJRcSm+pO7B5G5kbDLGyDi5XXoAivN28uEL91GSN7CaY+D7zLU6Pf46PQH6QHQBgQToA9HrgwgNC+NXVy/jovNO61Nbyy49DwCLxYZSpcRfO3I/U4/HQ05uAWvWbWLzlq1k79xOYV52t7cfnnrhjcMQ4chVsHsz+3Z1vhVcHxjErNlzuObKS5mYkd7tdh6Ph+LSCmrrTSiUSlRKJSqVb+q7kFHSZm4nL7+Q/P2FFBYWUlZaQuWBYuqqy7t8URadOIqsjSuOmPAFX49vl9mB1dzaba3hQ8ZPX8xv/vZKlwERhRDi5270xNmMnji747XH7aapoQqNnz+BwcY+/93M3vQNX779ny7z29ta+H83XsP/u/EaXA4HLlfXclHHwluvPEN8fBzTp8+gJGct6RmZRMfGodX6095uxmJpR6XWdDq/8PThnH7ctEUD6hnt9Xq5+KobaWlpoay4sFN93CUXXE9zQw3/vfdXlBf17a5Yh93Kqo9fYMbi85i24GzWff0WACs+f5/tWXcwfYpv8DuNWs2ffn8df/r9dQA0t7SxbtMO3v/wE7749L0+fSl7JDp9MAH6IPx1Ab6Hvw7/AD0BAb7XarUaq8Xie1jbsVos2KwWaqvKunSgWP3JS6SPn8mUuacfdVzHSmBwKNMWns20hd2X1jnW3G4X1WUFlOTt8j3yd1JT3rn8Y/bWH7jx5ju59KILWDx/upR8EEfkdruZOnM+hfuyuiyztrdSUbyPpFEThyEyISTpK4aB1+vlm/f/22PCVx9kYMKU2cyaM5eTFs1j8byZhBiCOpZn5xbw6JMv8PVXy9mbtaVPt0xrdXqi49OIik8jOuHQNJ2I2CQ0Gu2gHdvPWWNdJZ++9q9+nczrAoKYNG0O8xcu5oxTTyIlMR5jaDDBQfpBH2k3IGDk9cw+UFHD6rUb2bhpC7t2bidvz07a25qPuF1qxjQmzloyBBH+fOgCgrrM2793F4/t3cVjD95D2tjJnHXOBYSHh1FQsJ+SkiLKS4upqSwdtNs8x09fzJmX/Y7Vn740KO0dkrv9e8r255AyNnNQ2xVCiJFGqVIRFpXQ7+1svQzu1t8ODb3524P/YceOHXz1ydu9nj877Fbuv/vWTvMO79n7UxNnnsKcJRcdcf+zT7kQQ2gkdVUlaHV6tP4BaHV6Nq38gO1rP+9xO6/Xy4dvvtBlfvLoKcxfejnP/O2aHhO+xogYJk+bg9ncyrb1qzotmzL3DMKiEli/4m28Xi8up52ZUydiMEYSGR1PTFwCCQmJJCUnkZ6awuj0FObPnso5ZyzG8d9HWL1uC3X1DVgtNqw2KxaLFYvVirnNTEtLC61trbS1+h52u42YuHhSU1IZNSqNjLGjmDRuDNGRnUteeDweWlrNmC1WoiPD0Ki7Xq673W62Z+3l/gcf5suP3+y07Kt3nzyuk77DTaVSE586jvjUcR1lztrbWnjl4d91Gjfkhace4oWnHsIYEcNpZ17A4w/f1+WzEuIQh9PVbcIXfJ3MdPqu1wlCDBVJ+ooh5Xa72LdzXZfB2CbPWMD5F1zIaacsYta0iZ0Sfh6Ph69Xr+eDDz9l1TdfdqqR053g0AgmzDiZhLTxRCekER2fjiEs6ri61WmkWfXxC3z+xiM4Hb3X5dX6BzAhczbzFizizNNP4aT5M/Hzk8Hv+srj8bD8m7U8/+LLbN+8jvrqA33e1hAWRUbmAjIy55M5b6n0WhhkSaMn8eu/vMjqT1+mcM+WLvXqivKyeTKv60jWg2Xq/DP5vz8+gVrjx9zTLqEgZzN5WUdXJ/qQiJgkYhJHDUpbQghxInE6bLS3teCwWbDb2rFZLdit7dhtloO1WS3YrRbfoLMH54XHJGIxtxAZm0JUXAqRsSlHPA+dsdg32PS+netoqC2nvbXpmBzPvXfdMqjtKRQKzr7yD5xx6W/7fF6RMXUBGVMXdJpnjIgle9M3/dq3UqXml799AKVS2etAYY311axZ8XG3y3T6YJJGTWTR2cv4fvnrgC/B3GyqpdlUS0Hujm630weFYAgNJzjESGiokRBjGGHGMLRaP0JCQlEqlRgMBgKDgvBEx+D1eHC53bhdLurq6igqKuLDDz/E3NaGpd2Mpb0NS3sb1nYzNqu54xxCoVQSZAjDGB5JWHgUfn5+VBwopbaq1FdKohvNDTV4vV657ukHfZCBS2+6j0duv5C25oZOyxrrq3n39f/yw5pvWbHi6x7v3BI/bzp/Ldf+5o+8/N9/d1k2YfpJRMQkDUNUQvhI0lcMiYrivWxe/RHbvv+M1qb6LsvvvvseLu7mdv3vN2znuuuuo+gIyZLYpDFMmr2EybNPI3HUJEloDaHC3G189NI/Os3z0+r41a9v5Tc3/h/6gP/P3lmHN3W9cfyTNG3SJG3q7kYNKaU4w06qzioAACAASURBVPkNGAzZYBtMgbkbG4wBG2PuxnzIGGyD4c5w91IKLbTU3ZtKmib5/VEohKRKse1+nqdPes89995zK8m53/O+39camdQKa5n0mkTw/lf48vtFPPvY/c3u7+IZgF9IR/xDO9GuYy/cvIOEB4BrTMceQ+jYYwhlxfmc2LeJo7vXkRi7r00KuDVGzyHjue+ZufVeYSoHV56b+xtVFWWkno0lJeEEKQnHOZ9wzOz7b0OoHF3pNWQ8g8Y+ikyuvFbDFxAQELgp2bV+MX99/1aLszFs7Z1N3mutpNaoHF2RSCyxuPhlIUFiaYmFxaU2JzcfImMGENKhB3KFLYX5mZQW5iK2sLjgb2pV92pphcTSEomllC+mT2hy0b2liC0kyOojceVIZYr6VyuZHKlMjtxGRXTv4fi163TV13PzDmLW99v46MUR1GpNLSxEIhEBYZ2xVthirbBFYWNHdJ878AmqS5e+58m3WPrtTHLSz7Xoulv//oGSgmw8/EOxd3KnuCC7WcdVlJdQUV5CVvPX3luFQa+nrDifsuJ8o4K8DaGwteeeJ98W5nutwMXDj5nfbeXEvk3EHtjC6aM7jf73s9LO0ad3L5YtX8XAvt1u4EgFbhaycvKZ8uQLrPu7zh5GJlciEotNsplPHtzK/E9e4sEXPxb+NwVuCILoK3DNKCnM5dD2FRzYupzMlIajc7vfdjt3/K+vUVtlZTXPvvImv3z3qdnibmKxBUGRMXToPoQO3QYJq2dXgf7ChLIoP5Pi/Gy0NdWIxRb1DyQWFhIsJBLEFpILbRbo9Xqq1GVUVZZx6rBpoYMaTRXDhw4RVsPbiJ17jzRb8O02YAxd+o6kUl1CSmIsh3es5sS+zYx7fCbuPiHXeKQCUPfA32fYBPoMm4C6tIgT++sE4IQTexEhwsndBxdP//rCkC4e/iht7eseItUlVJaXUlVRiqaqCntnd9y9g+onkXqDAYNBDwYDer0ehY0d3oERZsdhrbAltFNvQjv1Buqil4oLsklJOE5RXgbVlRVUV5ZTVVlOdaWaqko1FhYWhHXuS3SfYagcXK/nj01AQEDgpmLzX/NaZb9jbnGtRlNFflZKs8+xdvFn9ZlrXfqOpF3Hng0GNIyZNJ2l377ZojHaObrh4dcOD98QPHzb4e4bgq2dU73lwo2oaXGxlkZDou8rH/9t9ji9Xk9op97M/G4r6tIiUhKPcz7hOMnxR0hPOkV1ldpsbQOosy86dXi72X0WFhIkVnUWcLU1GnTNKDYttpC0qCh1W2BpJcXTP4zet99HTL87hULTV4HCxo6eQ8bRc8g4ajTVJJzYw8Y/vyXp1CEASovyGH77AL7/dXF9zRCB/y6z535SL/hC41Y8B7Yu464pM1Da/vsKiAvc/Aiir8A1wWAw8Pr9XRvcb+/kxvA7x/H4lIfo1c3YJ3L9ll08OmUyGSnGhYWk1goiovvRofsgImMGoLCxuyZj/7cTe2ALR3auoTg/i6L8TEoKcxucDF8NDz0wgYJG0u0Emo+mpvmFWw78s5wD/5imMX75xgM8/94Szp8+SkFuOqWFuZQW51FalEdZUR6lxfmIRWKk8roCejK5TV2Uj7UCmbUSmVyB1FpZt89aiVSuwMO3HcGRDf+fN0Zhbga/fPgc+dmpKG0dUKocsFE5olQ5oFQ5YnPh1VphAwYDhgtfdRiQyW3wC+l40xdbVKoc6PW/e+j1v3vqitwYDEaFfVITY9mxdgGHd65G20CqpsxaSXCH7oRF9SYsqg+uXoGtihQQiUQ4OHvg4OzR6vsREBAQ+K8QHt2XHWsWNLjfSirDSibH2lqBTK7A2lqBtUJBVmoSUmsFOZmp1GpbH4FbVpzP3k1L2btpKY5u3vQaMp4eg8dh52i8INdn2AQykuPrLH1EIizEkguFQC0QW1ggV9ri4dvuwlcI7r4hyJWqVo+rMDedgpx0Us/GUlujQautoVarQa/X4xUQTkR0X2ztnVt0zhpNNUd2rm7Q29hgMLDws1epVJdQUV5K5YVI24ryYmq1NUT1GspDr3yGUuVAZMwAnNx8OLx9FRXlrbfJ0Olq0VUZC7gWEkvGPz6b2toa1GXFVJQVoy4rRl1aRElhDgaDHnVp0YVFWn3dq16HXqczyvqpW5TtibXCFql1XcFimVyJlUyOVlNNpbqUksJc8jLPU5iXgbq0EKlMjounPwFh0bh6BlBWkk/s/s0U5KSTknCctHNxLPtpDrLLorKl1nKk1kqkMjl2jq5ExgwgKLJrfWaQQMNYSWW07zqQ0KjeLPjk5XrPaU11JQ/fN5a0tM9545WnbvAoBW4k7u5uze4bENYZucL2Go5GQKBhhHd8gWtCY4LE4r/WctedQ0wKE5SWq3niuddYMv9bo7QIsdiCIXc/wbB7n8HSSli9vhqyUhOZ99ZkE7/Ra4Gl1c0txt1KDO7Xgzkffs1PP8zjfOJJRCJRi3+HxQXZzJzct9E+eqC2rKZFXoL3PPk2fe94oEVjAdi26heS4g8D5qOimoO1wpYO3QYR1WsoYZ1vu+mjWy6P0srJSOLDF0dTqS5t8rjqKjUnD2zh5IG6AjQuHv5Mfv3rBiN8BQQEBASunnGPzULl6Mqq+aYejZVV1VjLGi8EXFtbS0JSKrFxCcSfTqCwqAitVou2pgZtrZaamppL21otWq2W8rJS4o7tR1NdaXSuwpx0Vi34iFULPqJzn+EMGPkwngHhyKwVWFhImPjc+21671ei1+upVJex4JMXOXlwa5P9fYM7MHbyGwS3bzwNvrpSzZpFn7B3y59UqctQKpVmnyEMBgN7Ny1t8DxHd69DYmnFw698TsKJvcx7+1GqK8vN9rV3ckOn06Gr1aLX6erEXV1tswIgdLVaHF29CI+um0+py4o5sHUZuzf8Tm5GUpPHX6Sqooyxk2dQqS7hxP4t5KSdJSf9HLkZydTWml/or9XWcP7MMRQ2dnQbMIaPXh5rFImu19XWZeGpyxq87pblP6Cwtadj98F06nE7oVG9hGerJrC0lPLwK59j7+TO5mXfAaDX65jx6tMkn0/hx6/eF2wF/8VUVWtYue4fiotLEFvU/Z4N+rpsO73BYNbO5yIPvvQJChs75Apb/EKjjII+BASuJ4LoK9Cm6PV64o9sZ9uqX83uHznuIe4dO8yk/edFy3jtlRfIz0k3avcKCOeBFz7EOzDyWgy3zdHr9WSlJlBRVoytvTMqBxesFbY3jX9PUV5Gk2KhxFKKTqc18SMyh1hsgbXCBoWNCoXSBoXSlgp1OZ2iu/Lqi8+21bAFgOkvP8n0l58E6v7OsnMLSExKJTYunpMnT3H69CmSz54mNyu1/nfn4ROIhYVlk8UPr4aVCz6kIDcdKysZllYyLKWyuu+lddsXv7eSGu/PzUi+6mtXVZTVRzZLrRVExgygc++hdOpx+00/sbJzcG2W4GuOvKzzLP5qOq9+8vdN894iICAg8G9DbGFBRHRf9mxcQuFl81Nbe+dmvfdKJBIi2gUS0S4QMJ37miM2/iwLFv/F5+/PalD8O7prLUd3ra3L3nD1wi+4I33veKBJgbUlVJSXsHvD72Qkx5OdmkhuRjJ6g77Z1gWpZ2P5ZtYjfPznyUYFsZ8/eLZZInJzOLhtBXc+NJXfv37DSPD1DQxn6B2jGDliKIP6djcJOrmc0nI1u/Ye4cknHjc7d+rU83+069iT4oJsVvzyHkd3rWvw99QYIR16cHjnalb88l6Lj407tI3TR3ej07UuS6+irJi9m/5g76Y/6uZOXfrTd8SDrc7c+i8gFosZM2kaDi6e/DFvZv2z1C/ffkR6Wior/1iAXC6I5/82tLW1dIzuydn4oy0+tkvfkXQfOPYajEpAoOUIoq9Am6CprmTPxqVsX/1rg55lkZ178ukHc4za4hOTmfzY0+zbvt6oXSKxYtiE5xgy9jEsJJbXathtRsKJvexcu4iE2L0mUZKWUhkqexdUjq6XXh1csHNwxc0nGJ+gSJOHB4PBwPG9G0g9exJNdQVObj7cNnwilpaNR5U0hY3KyWh77IQpdImOJsDfj5BAX0IC/eonLTqdjhptLRpNDZoaLTVaLTUaLRptDRILC5wd7VHZKoXV7RuAWCzG090FT3cX+veOMdpXrq4gPiEZPx9PXJ0dyCsoplPnLmSnXxJZnVy9cHbzxMXFDRdXN9w9PPDwqEtRKisrp7ysnDJ1OeVlZajVairU5VSo1UYVpovy64qdVKnL2LLs+6u6H7/gCCI6RFFUUEBxUSElxQWUlRRS2Ui0ypVoqio4snM1R3auJjy6L0/O+vmmTl+82sJoKQnHqFSXCjY3AgICAteIU4e3M+/tR40sGlQOLiz8bSkyadtkM1VWVrNy/T+sXL2G7Vs3kJtxvtnHGgwGCnPSKcxJ58iuNYyZNI1abQ352akUZKeRn52KAQMR0X3pNmAMQZHdjOZshbnpbF3xM4e2rUCpcqBL35F07T8KJzcfPp8+gfRzcVd1b3KlCr2uFrHY+GcVd2gbmedPI5Mrmy34ikQiOsb0wdbOntSks6QlnzbpY+foho3KgeL8rPq2gcPuYs3y3xr8fZWrK/hzxQZOxMZxJuEMyWfPkJacYOLlbO/swV1TZhDVayjlJQV8/MpdFDZgYSaxlOLg7IajsxsuLm7s2LzSaL+LZwD2zh5NCr629s74+AcTGNwOZ2cXliz8AXVpEUCjgm9o+2gMBhGpyWca9RiFC3OnXWs4tmc9b87bgqtXQKP9/+v0G/Eg9k7u/PTBM/WWXFvW/kl0j1QW/PITMZ1vjSAlgeZRUVHVKsE3uH137n/eNENEQOBGcfM+EQvcMhgMBj6dOp7Us7Em+ySWUgYNG8srLz7HgNsurSBXa2qYNusDvvnsXZMUtoCwzkx87v1bpujUkZ1r+PG9hj2dtJpqCnLSKMgxX+J36D3PMPKBl43a9m9dxoJPXjJqS4zdx6PTvr0qEdzWwdhj7b57xjHmjkFm+1pYWGBtYdFk+qLAzYWNUkG36Pb12y5O9qxbu5aHJz+OVlvD008/y6MPjbtqsT6qWz+OHzQt4tca+g+8nZ+//cikvVpTQ2mZGpFIhFgkQiSuewXYd/A4i5b8weZ1K028o+OP7GD9719yx8QX2mR8bUmNppr4I9s58I/5gjTNRWatYNWCj7BROSK3sUNpa4dcaYfS1h65jR0KGzusFbbCooyAgIBAK0g8uZ/v5hgLvh269GbFsqX4+1ydL3paRg4/LljC5o0bOXZwp8k8uLUs/2mu2faLUZ0Ozp7E9B9FUEQM+7cu4+jutfWZQeqyItYs+oQ1iz7BPzTqqgVflaMrk1//2sR3/8S+Tcx7e0qLzycSiTh+cCcAd4y936zoW1KYwx/zZhnZNDg4ODYo+P6+bB1PPT6J4oKcBq8rkVgxaOwUbh//NFKZnBpNNd++NcVE8I2I6sEjk6Ywfsxw3F2djD57I6N6cOr4/vrtgpw08jIvLcRbSCzpFNOHoJB2hIWF0alDJDFRkXi4Gc/ZZ09/iSefn8qqP35tNGvvzMkjDe5rCL1ex+Gdqxl+33MtPva/RsceQ3jxvaV8M3sS5SUFAJyJPUjPbtE89NjzzPt8LhY3ebaZQOMcOhrHzwuXUFtbi4dPIFlpDVu3uHoFYufkhr2TO/ZO7nj6hxHV8+bPOBT4byGIvgJXTWFuuonga+/kxn0PTOHVF57Ex8vY5PzEqURGjLjTJG1KrlQx+pHX6Tlk/C0jVBTmprPoi9eu6hz/rPiJIXc/gcxaUd9WkJ1q0i92/2Z+/fhFHn75M6MPEm1NNSmJsRTlZVCrraG2Vlv3qq1Bp61Bq61BV6tFrlQR2qmX0Tn/+Gs5o4YNuGV+3gKto1P7UI4d2N6m51z+52KeeOZl0lKT0VRXUaOpRqOppubCl1ZT3ayUR4mllPF3jza7Tya1QubsYHbfsCG3MWzIbej1X/DProMs/G0pK5ctprQoD4B1S74gLKo3gRExZo+/EWxb9Qsrf/2gTR7wq6sq2Ll2YaN9RCIRcqUKhY29kTCssLFDYWtfZ8tiY1/nN2Zjh8LGHgdn91siu0JAQEDgWpGScJxvZj2CtuaS4Pvg4y/yw5fvN2oN0BTl6gqmvvkeP3/7SYs+BywklgS260DnLt3o07sXg/r3on1EmEk0alMU5Wey8Y+v2dhEv/Nnjpm0BbTrwIQHHub06dOcS0xodNE3rHMfHn7lc2xUjs06d0sZNepONqxaataDd/eG342y5/767Xv+GDOKcaNvr28rV1cw6YmX+HPRd41eJ6JLP8Y9NgsXT3+gzlpr/scvkpJw6R46xvThh3nfNBrhufi3BQy/YwQZ5xPqznOZRYZcacuvi/7k7juHNHHX4OHmzIolP7Pp8ck8/dTTnI03/VlKrRVoGiiG1xSnDm/HN7g9Ie17YCWzbtU5/iv4tevEKx//zdczH6r3cq6treHHrz/A09ODWa8L4vmtSGFxKRMffpINKxc3q7+LZwCzvv/nGo9KQODqEURfgVZRq63h6O51JMUf4sS+TUb7nnl5Jh/MmdbgyvqUx58yEXx7DLqb0ZNeNztBvFnR6Wr5+YNnjXzD7pr4KHePGU1UhzDSs3JJTcsgIzOLzMwssnOyycvJoSA/h8L8nPrIAk11Jcd2r6PH4LvrzxMQFm32mod3rMLTLxQPv3YknTrEuVOHSDt7stl+YivnG28vnf8tep2e33/9WliVFmgR/j4eTU6KtLW1qNWVlKsrUVdWUqGuRF1ZRUVFJZWVVVRWVRET3eGC32HrEIvFDOrbnQF9uvKIWMT87z4FwKDXs3n5DzeN6KupruSvH+aY9UO0d3LDWq5EXVaCuqzYqML31WAwGC5UNy9p9jFKWwdGP/IaPQaPE/yCBQQE/nOkJsbyxYz7jYSzR599ne8+Nx9F2xz0ej2ffTufuW+9QWFeVpP9FTb2dOjcjZhuPejftxeD+vZEqTAW4aK792Xfjg1GbSKRCHsnN9y9/PDxC8DPz5/c3Bw2rV1ebwtwJWKxBbcNHkl1VRUH92xp0LM3OSGWyLBQ3pr2PAA1NVqW/L2Or7+Zx+Erjgvp0LPB+bxlGxRcnXz/XcR07sCCxX/yz5bNxB3dZzQPNhgMWFhI0OlqMRgMPDr5Qdauvw+5XI6VVMryP34jIyXR6JwKW3s8fEJw8wnG3ScIv5BO+LXrZPQ5uPXvHzi6e239tm9gOFvWr8LJsXGbpQ7hwcQePcid4+5n1+ZV9e1Orl6sXL2GnjEdW3T/Q/r15HTsIYaMGM8/65fVt4tE4lYLvgDnzxzl65kPI5XJ6dB9MF36jiS8820m0doCdTi7+zDusZl8OcO4mHFBQeENGpHA1XL/pKeaLfgCDWbxCgjcbAiir0Cr+PXjFzmyc7XZfYMH9mvU66xGcylyQqly5NFp37Zp8YnrQVZqIivnf0Dy6Us+P8NGT+DPhZeiBoIDfQHTogg1NVrGPfAYK5f+Ut+WnhxPd4OBc6cOsX/LnxzZtdbkuIusnP9B29zEBf5c9B379mwn6cxJrKyECD+BtsNSIsHezhZ7O9trfq3pb31cL/hexMnNu8nj9Ho9O9bMJyXhOD5B7QmP7oubd1CbC55WUmscXb2MPM+jew7knbdnM7hfj/poe71eT1FxGVm5+eTlF5KbX0B+fgEFhUUUFhRSVFxEcXExJcWFlJWUUFZaRHlZnbDbnOKLTaEuK2LhZ68Se2ArE55995ZaiBMQEBC4GjLPn+Hz6ROoqrjkJz/irgf59tM5jRzVOAeOnOT+Bx5q0hdSJBIxbPQEZk6fSnSn8CYzsP7+8ze+/O5XtFotoSHBhIcGExEaZCIOA1RrvmbRH6tYsHAh+7ZvpFarQSZXMuruB5gx7SXCQ+p8XNOzcnnimZdZu3yR2Wu++eaM+ohZKytLHhh/Jw+Mv5PC4lI6dOpCVto5ANYt/ozOvYbWR8heTnSf4excu7DBavfNpWNECB+/Mx3emU5JaTlzPviSj+dOr98/cMxkNv05D4DSojwW/PCZ2fNIrKTcPeVN+gyb0OTnftyhSxF9SpUDG9avaVLwvYi9nS3bN/zN67M/ZP6P8whsF87CX74nwNezWcdfiYWFBeXlxsVgDQbTOYCzuy/52anYOboy7r6HierUkT1793Hk8AHOxh83si+5iKa6kkPbV3Jo+0rkShWdet5OvxEP4h0Y0aqx/ls5sHU5iz6fatQWHN6ZWdNevEEjErhaystaWGDZYECv1wsZswI3PYLoK9Aq0sz49wJEdOrO4P49Gz22S0x3ThzaBYBBr8M/NKrNx3etSE86xfolX3Jsj3HhOQ+fQH775dsmjy8oLOH2EWM5ss84FSQvM5mZk/uSb8bWobmIxRZYSmVIJJZYWkkvvFohkVghsZSQmXqOmgtFB64k43wCL09/hy8+nNXq6wsI3Eg2bVxv0hbcvnujxxgMBv7+eS5blv8A1FX+5oe3cXD2JLxLXyKi+xIQFk1pUS456UnkpJ+rf83LPI/E0gpX70DcvINw87rw6hOEs5sPlRVlHNy2gsPbV1FanIdS5WAiyp6NP4G/r5fRZFEsFuPkaHfhQTK42fev0+koKColJ6+AnNx88vMLyS8sJL+gkMLCIoqLiiguLqKkpJjS4iLKy4pRl5VQoS41Kxaf2LeR5NNH6Dl4HJFdB+AfGnVTF8YTMKaspIDTR3dx+tiu+hRosViMnZM7PkHt8QmKxMnNR4jmFhC4jPVLvjQSfAFW/zUf/+CDdOrSjd69ejNkYB/ahwU1+yH/7rvHmWS3XYxCvYiLhy+///6HUe2LpnB1dmDOG80Tl2RSKybffxeT77+L3Pwi9h08Su/uXUwES28PV5b//jM9+mZydP82k/NUVJSbtAE42quY990P3DlsAAaDAW2Nht++fJ3n3/3d5D3GzTuIWd//Q9yhbcQe2MKpw9tNfubNpVxdwaZ/9rJ1+062bLwULCGxlBIQGo2llQxtjfl570VU9i4YMFCjqUIqkzfa1zswksTYOm9eg15HgK9Xi8YrFot5f/ZU3p89tenOzUDaSNS0ldQaD58AhowYT0SIL48+dE99QM7jj9wD1BUR3L77IP/s2M3+/Xs5eeygiRhfqS5l76alHPhnOTO+2YS10paivEyK8jIoysukMC8TKysZMf1H4eUf1ib3dSuwc+0ifv96ulGbT0AYjz/5NG9/8AXZWVmER4TzxKSJuDZgUyZw81BQWIJEYsE3X37KM89L2LFpRbOOs7V3FgRfgVsCUWNG8Fd1YpEoAqivAjDj2814+F77wlwGg4FKdSnFBdlYWFjg6hlY73/68Ut31vvuXI6rVyAvfbzSpF2gYX589ymO7Fpj0t6hS28CgkIICQmha3RnRg0fYGIbsGT5eu4dO6x+W+Xgwm3DJtJ76H3Y2jtfecqbgtTEWNYt+YLY/ZtN9smVtqxZv4X+vRtPI6+p0RIR1Y1zZjy4GsLbP9TkYeEiSpUD0d1uo2evXgwe0Jfe3aMa9ZorV1ew9O/1/P33CnZv20jZheIDF+kzaAQ7L0s7E2gbnJycqKkxtd+wsrKioKDAzBECreGnhX/x6MP3mqSmduk7ktGPvI6Ds2nhnY1/fttk9ezWYCGxxGAwNJgmezndb7udfTtMBevrhU6nI7+whOycPHbtO8SM114yeW+AOs/18Oi+RMb0JyK6H0qV8BBzs1FSmMvxvRs4tmcdZ+MO4uTq3ehCorXSFp/ASALCohkwahJKW/vrONqbg/ysFD584Q6z+xQ29sz8cZfZfeqyYo7tXsfR3esoLsjGwcUTZ3cfnN39cHb3xdnDDxcPPyEt+hZj+U9z2byscZ9XqJu33jFqPN9/+QFyubHwlpFdwN6DRzl05BgnY2PZeEWqsJO7r9m6DVJrBR7eAXh6+2IhtqAgP5fz5+KpVNcJoiPvfohZb7xKVIdrL6zlFRQTFd21PnIXwFpuw6Klyxss/gswdsIUli/+sX775Y+WERjepdFr6Wq1nDt1iJMHthB7YAtV5YVmF6MMgKdvOxwcnVDZOXA+KZFzZ06Y9fWVK1VUqlsWsWettGXgqMncPv6pBhc4z8Yd5JNXL1mxPfrs6wQE+CFCTElpCb4+3owfPQw7lU2Lrt1a4hOTefaFqVSo1QQEBRESEkJ4aDui2ocS4OfVYjFKr9ezffdhfp6/iA1rljXLiuQiYrEF/Uc+xB0TX0QmV7b0Vm453ni4l0kxP3NYWknpM/AOpkyexN13DhGs9G5C/ly5ifvvHYNWU03X3oN5d+7b9OvVhfSsXPbsP8rhI8c4cGAfe7etN2u/NmXaN3TuPfwGjPzWp6w4nzmP9ze7r9fQCdz50OvXeUTXn6zURN5+YvDlTZEGg+FUW1/nphZ9tVoN+7csI/n0EcRiMRYSKyQSSywsLeteJVboamsoKcylOD+L4oIcSgqyjQobWCtsCQjrTGBEDMd2rqKkwPQDTBB9W87eTX+w8LNXmuw35r7JLPvtB6O20nI17m4eVFUaRwxIJFZE9x1B/5EP4xvcvk3H21qK8rP4/atpxB0yjXiQWEoZeff9zJ01nXbBfk2ea92mnQz/X98m+4lEIkaOe4inn3gUP2+PCzYRpvgGhpOceLJVK4za2lo2bNnNu++9z9kzcShsbPnxx58Y1LfxyEiBliOIvtePXfuPMmXKYyTEHTbZ5+YdRLuOPWnXsSchHXpwfO8Go7Q8iaUUg0Fv9gHyWuLk6kV+Tvp1vWZjpGXkcM/Eh028Ii9HJBLhHxpFZMwAImP64xVQl/Kp1VRTXV2BpqoSTXUFmqoKNNWVxq9X7KvRVCNX2qJUOaJUOWCjcsTmsu/lNnZCFEUTVFeqmf/JS5zYt9GkorujqzeFuU3/fYV26s1zc3+7VkO8aWlM9JUrVbz86RrkClvEFhZUV6o5sX8Th3esIv7oriYXdeRKFXdMfIG+wx9Au7urEwAAIABJREFUJBajLiuqy8ixkmFpJRWirG9CdLpa9mxYQvyRHSTFH0ZdZt4H9yLt2sfw+BNPcSL2JKfiYklKOEVRfsNC2f3Pf8iONQtIO3eyVePr2PU2jh9ouIBaW3Is9jT9+vWlrDgfV08/VqxYSfcuHRo9prC4FB8fn3qhun23QUye+lWzi4IZDAZmPNSNGjNF7gwGA2q1uuU3Ql3K/bh7J5CRnkF6ehpZmemkn08063cf1vk2Jr/2FXKlymSfXqdj6oQujf5d+AaFk3jq+C1vl6bT6VizaSejhg1o0XF2jm7cNWUG7bsO/FcXg1v42avs3bS0Rcc4unhwx5h7eGrKw40W/hO4voy65xEjy0WA6B4DmDp1KmNHDKqfg548fY7Z73zA6r8WGmXOOjh78tZPO4QiyK1AEH3/46KvXq/nyM7VrFzwIYVt+DAsl8vNrrAJom/L0Wo1fD/nMbNi6JWMuOtBVCoVcrkcuVyOQqlg965dTaZOPDnzZ9p3G9hWQ24Vn0wdz9mT+43arKQyRt/zMO/MnEagf/NTu/IKiunQqTO5mSlN9g0O78yPP3xPu2B//P39G0x9O3EqkQ7hzU8BF7j+CKLv9UWn0zH7/S/5aO7MBv9vLootFz//JBIrfvtjJQP79WD56k2sXbeevTu2GImxIpEIJzdvfPyDCQoOIbRdO6qrNZw+c5qkswmkp5wz61EYEdWDPn0HUFpaQkF+PkWFBRQV5lNaXICFhYTXZ8zmhScfvgY/idaj1+v5YcGf/L74dw7u3dZk6q2llZRabY2J4NgWyJUq+gybyKDRk4Xo4gbYt+UvFnzy0lWdwzswgmlfrmujEd06NCb66vV6KioqEIlEyJUqNNVVZv0vm4NUJkdzhZBlaSXF0kqGldSaoMiu3P/cB/9qkeRWw2AwkJ+VQlL8YZJPHyEp/jDZaWdbfT6Z3IbZP26noqyYjX98Q0ZyPNlpZ1tUuDOm9yAO7jLNOLtWpGflsnvfEUbc3t+sV7A57p/8HIt++qJ+29JKSkiHHrTvOpDImAE4ujY+b37z4e5UV5qKu42JvjK5DYHh0UitFRy9rCaGXGnLK9PfZsYrT5k8/1VVa/j6h9/49uvPSU4wtqxz9QrkyZk/mfUkXvT5VPZsXNLoPRSXlF23aN9rzS+/LeeRiWPN7rO1c8LJ1YPUpNMmC+YikQgHVy/cvYNx8wnC3TsYd5+6763lt/7PRq/Xc3zvhjqLkkPbmlwguhIrqYzHn32NqS8+iYfbzZnl+l/hk69/4aWnHzG7LyQimukzZjDx7hH14m9aRg6vvvEWS+dfsnV88KVP6D7Q/P+JQMMIou9/WPQ9c3wPf//8bqtXwRujIdFXp9OhcvZi9MOv0b7rjRUZbzWqKsvJz0ohN/M8eZnnyctMJjfzPBnJ8W0SMffkrJ9v6O9k+oM9KcrPrN+eOOlZ5sx8DV9v91adLysnn9ffnMuSBd/VR6RbSa1p322QSWE8sYWEH35dQrvgAL745nsSzsRz7nRsfWRCYGhHTp883Kilg8CNRxB9bwxJ5zOY/MSzbN/4d6P9RGIxX3+/iCcm3WvUrtfrORp7mti4MwT4+xLVIRSVTeMpi1k5+Rw5fooTJ0+h0dQw9s6hdGofetX3ciOp1tSwdtMOVqxcw/Z/NpJxPuGGjENqraDfHQ8y9N5nmvRd/K+ReHI/n04db3afxNKKWq3p+8+VTJr6FV36jmjrod10XLQAK8rLpCg/i5SEY+xZt8Bs34uib2MEh3emW4/eZGdnkZaSTHZmCurSlj38X077boOwd3LH3skdpcqBirJiSopyKSvKo0ZThYOLF65egbh6+uPqFYCDs2e9hZlA06QnxRF7YCsKGxWunoF4BoRha+fU7OMryktIPn2EFb+8T1Zq4++FUpkcD792ePmH4xkQRlSvoSbXSk+KY+4zzU8LdnB2R2atoEZTjUZTRU11FTU11VhZyXB288LVwxtPL298fXzx9/fF08ODmM7t8fcxtTe6Vpw5e56IsJAGI+E9fNsRGdOfdp16ERQeY7LQ0ZDoCxDdfyzlJYWoSwuxsXMiMLwLQRExePi2Q2xhwdYVP/HX928BoLBRcerU6Sbn63q9nlXr/+HRKZPIz06rb5crVUyZ9g2hnXob9S8tyuWrNx8iIzne7Pn+N/Je/lr8U7NF8luBHxf+xaFDR3D3cCfI34/gIH9CQ/zr50T7D8cy5bEniDu6t1nns3dyx903hOg+d9C1/6hb3gZHr9ORlZrAyvkfNCsY6komPfkK33/5npDVdAPIzM7jrfc+4/sv3m20X3B4ZwKDQ8nJzqQgL5vCvGyjjGUP33bM+HbTtR7uvw5B9P0Xir6PTp9HVUU56UlxlBTmILGUXohykGJpKUViJSM9KY74I6ZpS56+wbi6e1FTo0Gr1VKrraFWq0WrramLvnJ1x83NEw9PT3x8vPHz8SbAz4f8giK2bt/JwQP7iD9+EBG6BkXfysq6CIz7n/+AnkPMPzwJNJ8NS79m5fwPrvo8dz36JgNHTWqDEbWOT1+7h8TYffXbpxKS6qscXw3f/LiYp6ZMqN+eNPUrFDZ2LP5qGgU5lyadvQYMZ/dWY+/kzOw8UjOy6RTRzsRLTuDmQxB9byzJqZmsXLuJrVv/4dD+XeRlGXspznrvC2ZOfeYGje7W4+TpcyxdtoqNG9Zz4tAutDXNi3yUWEqRWcuRWSuQyRVYWyuQKxRYWkkpLy2hpLiAsuJCE9ufK4nqNZRHp89ri1tpc2qqqxCJRVhaXd/3ZYPBwBfTJ3Lm+G6TfQqlHRVq0xRmpcqRoIguBIZ3IaxzXzz92l2Pod4w1KVFbFv9K7vXLzaKyBeJRCiV5hdzGhJ9fQLCGDHqLqY8MpGOEabBDHkFxazduI1pr71MTsb5trsJM0gspTh7+OLq6Y+Tuy9yhS1SWd3/mNRaiVQmRyZXIrNW4ODiaZKyXlVZTlFuJmXF+dg5uRrVwbgVUZcVk5uRRF7meaTWCsKj+yKzVgB1dl1vPz6Y6qpLgqJIJKJr/9HcMfEFnNx8GjxvdVUF6efi8AoMx1puQ1VlOfM/rrNUAXBw8cLTPxQv/zC8AsLw8g/Hyd23SRFHq9XwySvjSEk83gZ33zAvvPY2n7z7xjW9xuV8+MVPvP/OTArzMhvtJ5FYERDemXYdexHaqRe+IR2ZPbm3WdFXJBLx/pK6gKCqijKy08/h6RdqtAi4asFHrF/yJQBefiGkt2CRMj0rl6F3jObUsUtzfrHYgnGPz6LvHQ8Y9a2qKOPle6IatXiRK22xc3DG3tEFdw8vAgICCQoKIiI0mMjwELw8XK6pyFdSWs6KtVvoGBl6XXyg9Xo9n3z9K+/MnkZJYW6zj7NzdGPAqEfoPfS+WzoC+Mzx3XwxfWKrM54OHYujS6eINh6VQEOUqyu4f/IzJrYOrUUkEvHlyrOCxUMLEUTff6Ho2xqcXL14ddosXnzqoas2PtfW1hLVKYq0NNPiCZeLvoPGTKHLbSOprlLj166TEFHUSvQ6HRv++Jpzpw5Ro6mi5oJ3Y42mqv5Lq2m8om7n3sOZ8Oy7Zn21LsdgMFBWnIdMbtPmv6+TB7byzexLKR8dY/pwZN+2Nvl7dPf0rS+SMGDUJEY99CofvzqO1MQT9f3mfPg1019+8qquJXBjEUTfm4uTp8+xau0mTsbFMWjgACbff9eNHtItS7m6gr/XbiE1NR0bGyW2NjbY2NigUilR2dhgZ2uDnZ0tKltlfdXwpqisrCYjO5fM7DySzqfy3XffcXjPlvr9Ds6evDO/edFE1wuDwcCKX99n81/zMBgMyOQ22No5YWPneOHLGRs7x0ttKids7J2wUTlhIZHULWTXaNBqa6jVaqjV1n2v02qxsXPE2d23yQeJivJSNv35DeqyIqQyBVJrOVKZAmuFLZZWUqTWCqQya6QyBSoHF5w9/P4TnrKFuelsWf4DezYtNTvnaEz0lcsVfPzF9+QVFFBQWISuVsfI4UPo2bVTs66trqjihddms2zJfDy8/HjokSl4erhRUVlJZWUllZVVvP7i41d1fy3FztENF0//+mjnK4tdWUmt8QoIxye4PT5B7fEJjMTZww8r6c21wGwwGMhJP0v8kZ1kppwhNyOZ3MxkKsqKjfrZO7lz16MzcHb3Y+1vn3Fiv/lILAuJJX2GTWDo+KeNCgprqivZsWYBm//6DnVZEXaObsz6YVv9XLMwNx2ptYLK8lIkVtJ6wb2hQmDmqKmuYum8mS32B20JDs7uLSrK1Rbo9Xr2HDzOn8tWsXnTehLiDmPQ6xs9RmatRCq1NCumikQi3v3tOLvW/8bK+R9SVVGGhcSSgNDOhEb1JjSqN/u3/MmudXWF8+wcXfnw06+YcPcIrGXSZo25qlrD3RMms3b5IqP25+b+ZhLxG3tgC3/98Db5WSnNOveVWEnl2Dm64urhjZuHJ85Ozri5ueDk6Ii9nR0ODvY4Odjj6GiHs6M9zk72jWb2VWtqyM0rJCevgPWbt/HZh+9QWpQHQOfu/Xn2uWe5d8zwa+41XK2p4eCRkxw9cZK4uHgSEk5z/lwC2RnnGxXJVY6uPPP2wlt2AfKb2ZM4eaBuriKxlPLIEy+ikMsRi8Xk5eeRlpJCRnoKyYknzf4fTH3zfe4dN8rsQqJA2zPmvsn8/ftPbXIukUjEwNGTGTv5+i2s/VsQRN//uOirsFHx2DOvMHvai22aHtO1a1fOnDlj0n656Hs5UmsFnXsNo9vAMQS37y6kXbQxer2e2hoNGk1lXYqaps4vz9beBVt752Y9kJ46vJ2l82bWT7pkchvsHF1QObph5+CKytEVlYMrdo51XyoHV1QOLi1KJVrw6cvs2/xn/faX3y/i6cuidFuLyt6ZspI60W/kg69QkJ3K3k1/1O/v97/RbF33l/B3d4sjiL4CAldHvyGj2LG5znffw7cdz7272CRNuqqijNyMZApy0tFqNeh1teh1OnQXXvV6HSKRCFt7Z+wc3bBzckPl4NqkmKXT1VJTXYlMbmO+orzBwB/fzWL7ql/b7H6vxEJiiatnAO4+wbj7huDuE4S7TwguHn5CVEkjnI07yFczHjAq7nsl1gobJA18xDo6OnL+/LWN1K2srGbxsjUkJp4jPT2d7KzMC+mjWZSXFmOjcsDByRUnF1ekUhnpqclkpiU1mP5+rbC1d8bR1QtHV2+c3Lwve/XBwdm9zf4Oy0oKyEw+jZVUVl/c0Vphi1gsRltTTWLsfuIO/cPJg1spzM1ok2tejlQmZ8CoSfQb8SCHtq9k45/fUl5i/Dk9Zdq3dO49DKibgy78/FVKr4hsvBiBHRbVh7CoPoS0796kX3PSqUMc27uBrX//2LY3RZ012cIfP2/z87aEzOw8fv9rDevWreXw/h2UlxSa7adUKhuY/4twdA9oNCpaYik18d1W2KjoN3gEL7/4HP16dWl0jOu37GLk0EHU1hrP2UY/8jpD7jJdoNHr9Zw+upPtq+dz6sj2JkXtq0VqrUChtEWhVCFX2lCjqaa8tBh1eUmz3xNkciUKpQpvvyBef/11xo363zUd80WqqjUcO3mGo8fjOHkyjnWrl5ORkmjUR2nrwHPvLsbL/9pHJrc17z0/sj5oZ9joCSYLB5eTmZ3Hp1/9yMdzpxu129g5cjYxEVdnoX7BtWbQ8LvZuu6vqz6PXKli9o87UNrat8Go/nsIou+/VPQVicV4+YbgGxCETqejRqNBo6m+8FqFSCTitn6DeX/OG7i5OLb5mFoq+l6Og7MnXQeMptuA0bh6Bf4nImRuZq7mQVskEuHqFUhAWDQBYZ0JCIvG1SuwQXH1wNbl/PrxC/Xbji6evPnWXDq1j+C2ntGtGn96Vi4+nm71290GjuXA1mX1276B4Rw/uh8721s31UmgDkH0FRC4OkIiOnM2/phRm7OHHz6BkZQV55ObmWy2iF5zkCtV2Dm6YWPvRK22Bk1VBdWVaqqrKtBUqevtK1SOrgwe8yh9hk00Eor3bFzCos+ntv7mrgILiSUunv54+ITg5hNMQFhnQtp3v+X9EdsCvV7PnKf+R3aqsagQ3XMgkydNpn1EO9oF+VNclE90tPnP8esh+rYGvV5PSno2x0+e5lT8Gc4kJJB87hw52elUVVRQdeFvuDGxuy0Riy2wd3bH0dUb/3ZRdOg+CL92Uc1asK6qKCPx5AESTuwl8cReMlNM5+hisQVKlUOL7kkkEjWYZi0WW7Bt1wEUCmvenD2X9St/b5FY5xUQjpXUmoKctGa/70gkVgRGxhAedRv+oVG4egdio3I0eZbQ6/U8PzaswUw4sdgCeydXnFw8kMnl1Gg0F7LoNNTUVGMwGHB198Lbxw8PTy+kVlaMufMOBtzWtdn3dy2pqtZwz4OPs3fHFgoaEO0bEn0bK+TWHEQiEcPHTOSrT9836/NbUlqOh4dngxZD1kpbHF286D/yIbM2gDXVVZQW51NWnEdZcX7dV0kBZUV5FOSkk5+dQlF+1jUXhltKn8EjmffVp21iXdcSdDod839fwQcfvE/CyUP17Qpbe5575ze8A28tq4N5b02pzySwVtjSvc8gBg4cyMjhQ9DV1nIsNp6TcfHs37eHY4d2NyjS7zl4nJ4xHa/n0P+TxCcm8+Irb7Bx1e9YWknxCQhFp6ultra22bUrRCIRk6Z+RfRt5ovBCjSNIPr+C0Xfr+b9wsT77mqyEM615GpE38uxkFhio7qYtul04csRG5UjtvbO9ftcPPyRyW/c/f6byTx/hjlPtd3qtFypIjiyGx17DKF914FGVeJnPzaAnPQks8eNf/AJlvz6TYuvt3zNFsaOuPQPHhkzgLhD/9Rvr9u8k0H9eghF2v4FCKKvgMDV0aXnQI7s+6fpjtcBlYMLt49/il6334ulpZQ/5s1i2ypjT7i7Jj6Kg70DuXm5FBbkU1RYQHFhHqXFBVSqy67p+GRyGyJj+tOx+xAiYvrd0h6JraEgJ42D21ZwcNsKcjMufW73GjCcuW/PNlmoPXv27C0n+jYXbW0tpaVqikpKyS8o4sTJ05w4GUdKynns7e3x8/UjIMCP4EB/fL09iD11hn0HDnPs2DFOxx0nM/VsqwUqGzsn2ncdSIfugwnr1NskyjU/O5VNf81j/+a/TKIqW4JEYkVQeCcCg0IICWlHeHgondqHEREaxFffL2LOrNfrhVkrqYwuPQfwzNNPc8+YofXn2H84lldem25SP+FyLCSWbVKc+HLkShVu3oG4eQfh6lX36uYVSGbKGb5/xzSq1MXDFzcPb/JzsygqyMXR2Y2wyCg6RXWmZ/cY+vaKwdG+cTu0q6GwuJR9B49z6kwCJcWllJeX132py7G1sSUsPJQOkeFEd4zAxcl81Nv7n3/Pa88/1uh1miP6unj4Mm3GbFJT0/l72RIyzp9t9t+RtdyGx599lXdmvmJk+5CelYu/r3eTv2eRWMzc+fuRK2zZtOw7ju5ei09gJMPuew4XD79Gj63V1pCddo65zwxttF9b4OYdyLD7nic/K4WdaxfWWz00xOPPTeOrj9+6avu6lqKtrWXkXQ+yYeXi+jaFjR3PzV18Swm/f3w3m20rf76qc1hJrSktLWm2HZZA21BVrWH1hu2sWLWaHVs3kpV2rtH+3kGRRET3o8+wCTg4X78imf9GBNH3Xyj6xsXFERFxY9+8GxJ9LxbrkMmV9BkwjHvGj8Pd3ZWff13IhtV/tboSs9hCQnBkV9p3G0T7rgObnAz8m9DVakk9d5KC7DRkciXWCluc3Xywc3Jr+uAr0Ov1ZJ6PJ/nMMbz8QgmMiKGsOJ+3Hh9ERblpgZqY3oNwdHQhLzeb/NxsigpyzPZrCJFYTHBkVzr2uJ2O3QfzxfSJ5GU1/OA3/sEn+GDOm/h4Nf/e3pz7GW9Pr4seFostmPTal/ww19S7V2FjR0BIBPO++arZPoICNxeC6CsgcHWcSkji5alvcnj/zgajwy4iEomQWFohtpBgYWFx4VWCWCxGV1tLeWlhqwutXI69kztD73mG4A7d+eTVcUYp4FJrBWvXb2Vg324mx1VWVpOemUN6Vg6Z2TkY9AZkMhkymRVyuTXWMhnWMilyuTVWEgmnE5M5HhtH3KlTnE04Q0rSGYoLcpo1RguJJYERXVDZuzB47GO31AO0OdSlRRzZvZaK0iJ0eh262lp0Oi262lr0uloykuNJij9scpyjiyfpqUlmfT3/zaLv1VJSWs7h46c4k5jEuXNJnE85T0ZaKtmZqeTnZFCrbZ7IZimV4eoZgI2dE7Z2TmiqKzmxf1OrBWU7R1d63jaIkSNHMG7UUOztbBvsm1dQzI/zl+Di4szdo25vNPBk/dbdvP76NE4c2lXfFhjakRkzZ7F7z35+/Op9s8dJLKW88sYcenTtQllZOWXlagoKC9m9Zw8H92xrUVErqPu/VTm6UlNdhbrUvAWCOUQiEe2je7Fw/s90CA9u0TUvR11RxbnkVPYfOs6RY8eJP3WSpIR4clvgXWvn6IqPfzD+gcG4u3vg6uqCu5srJ2Lj+PbTOY0eq1LZodfrTNovF30dnN2xsJBQkJeJQa9HJBY3+vckFluYnLNz9/7s37XJKLjiy+8X8d23X3Pq+P5Gxzjk7ic4vH0VRfmXCtWJLST0vv1eht/3nJEv9JWUFeczdcIlm4l3PvqGTu0jKC4ro7i4lIKCAlJS00hLSyMnO5OigjyKC7KpqTYfnNS1/2iCIruisFEhV9qhsLFDqXLAztGtXjyv1dZw/swxykoKqFSXUpibwcY/vjY517Ovzubz999s9N7bCm1tLdt2H2T9hq3s3LGNo/u3Ge33axfF1E9XXJextAVZqYl88cZEE6uXxrC0khoVw43pPYiDuzZfi+EJXEHS+QyWLFvF+vXrOLJ/R6P2KGILCaGdehHVaygdug82sRcTaD2C6CuIvteEhkTfgIBAZr3zIYP69TLxEK7W1LDoj1UsWLCAfds3XlVEgpt3IO271gnAAeHRLSr00BAV5aXkpCWiUDng4OTRpGfYtUJTXcn5M0c5F3eIc6cOcv7MMZM0PJFIxNjJbzBw9OQmz1deWsjpo7uIP7KD08d2GaXQhXbqzZ0PvYrE0oo/5s3i7EnjyZmLhy+5mSlGbeqKKpJS0jmfmk7C2ST27z/A8SMHSE063eSDx8XJorXSFhuVE3mZySZ9pDI59z30BF989HazfKgfeuIl5s/7pH7bwcWLoryGxYy+g+9k+6ZbZ/IjcAlB9BUQaDsSk1LZsGUHO3ftJvncWZxd3QgODiEyPIwO7cPoFNEOubxhn95qTQ2paVkkp6aTkppBemYmmRmZFBTkI5PJUNrYYGtjg62tLba2Nqhsbaiu1vDVl5+TdOaEyflkchuqzaQD9/vfaLZtWN6m936RvIJiDh2J5dhlYvDZM7FmPTIvj1C0kskJCo+h/50PERkz4JqM7VqRkniCr2Y80KIFXAC50pZvf1zAA+PvNLtfEH1bh06nIyklg/iEcySePU9ScjKnT5/i8J5tDabHN4ajiwdduvdlwIABDL+9PxZiMZlZeWTn5JKdm09ubi6IRAwdPID+fWKuaa2DP/7ewJr1G+jf9zYevHcUYrGYtIwcxt5zPxmpSbh6eOPj449/QADBQYGMuH2AWbsAuFTMbMXq9WzbuoW4Y/uMRJ5rga2dE59//T129ipKS8soLSmjtKys7vuyMsrKSikrLaO8vJTyslLU5WVUqMuorCinSl1+Vc85rWXkAy8TFNEVGztHvnlzolkB5mrsHYLbd0dpa8+xPeuN2lPSshr83el0OlIzcjh3PpWDh44x49Wnm3UtqUzOwDFTGDr+abNWO3lZKcyc3Ld+e+O2PQzp17PRc1ZVa1iwZAUL5s/nwO4tRtHIA0dN4q5HWy7UvnZ/V7MCZVS3foSEhhEZEUF0544M7NOtTYu/6XQ6HnniZf5c/DNVFQ1nvngFhDP9q/UN7r8ZqdFUk3TqEGeO7+b08d1kJJ0yWmRW2Njh7O6HlcwaiaUVxflZZKedrd8//e2PmfPGizdi6P96tLW1bNy6h+UrVrP9n42cT2y87JTEUkpY5z51Qm+3wShsrl0WxX8ZQfSFzJQE5jw55PImQfS9WhoSfUNDQzl48GCTx+fkFbJ5224ys3LIycklLz+Pgvz8C+mbeZQUFVBWUthoddKLKGzsiOjSj8iuA4mI7otc2fI3k6L8LN59ZjjqskuRyApbe+yd3HFw8cTeyR17Zw8cnD2wd/ao23ZyR9wGqTsV5SWcO1Un8J6LO0TauZPNum/vwAjGTJrGjjULKSnIQaevxaDXXyq2o6tFV1tLcUFWk9FYUb2GUqut4eTBrUbt7t4BZKWZt2O4ksLiUjZv28vWf7azZdNaUs42/j/m7OFHx+6DOXVkh4lXIMDwMRNZs2xhk9f9fdk6Jowb0exIl5uhCIdA6xBEXwGBWx+9Xs9Pi5bxztuzSD0X32T/qW++z3uzX70OI6tDp9OxYctuli77my0bVpOdnoytvQtlxeZTei0klngHRNDzf+PpMXgckpvYSigxdh+fvnZPs/uLLSR06dGfCRMn8vCEsdgoFQ32FUTftqWqWsOKtVtZ9vcKtm9eR2FeZoN9xRYSBg+/mxnTXqFHTMf/RNFabW0t8QnJHD0eR1z8aRISzpB87izpKWdbnVV4qxMW1Ydn5iysj0p98+HuDUbdVVZVt9hmw0pqzVNv/UpI++5GxbYcnN3JzkhtlqB5KiGJyNAgs/s8fYPJTk82iSTuP/Jhxj0+y6jNYDDw60fPc3DbpSCO43EJdIwIafb9zF+ygofuHV2/3ann7Tz2xnfNPv7iOF69L7pZkeRKW3t69x/K2LGjuWfM8KsusL56w3ZGDjUv8kBdgFBEl36MmTQNd5/m/1xuRtSlRaQknqBGU0XCib1kpyZyPuG4SbFBgIB2HTh+eG+jn1chR45MAAAgAElEQVQCDaPX68nJKyThXArnklNITk4hLT2NzPR0srMyyEw7R0V5aaPnUNo6EB7dl8iuA4iM6f+fs8e6EfyXRV+tVsOhbStYv/RrCrJTL98liL5Xy9WKvs1Br9eTV1BM4rkUVq3dyMYNa4k/fsBsqtJFxGILgiJjaN91EB26DcLF079Z1zqxbxPz3p7SovE5e/jx4AsfERgR06LjiguyORd3sF7kzUptnsn59cYnIIzfFv9G725RrTo+Nv4si35fxro1K4mPPdji9MPQDl05feJAs/r+uXITU199qcnVRgdnd+JOxuLuKqST3IoIoq+AwL8HnU7Hd78s5d25b5kU+/DyC6Frz9u4a8xo7h077AaNsI79R2L55PPvWfXXr2iqKhrtK7G0os+wifQcfDdeAeHXaYTNo7qqgjce7kVFWbHZ/U6uXjg4uSKxtEShVDJo8P94/JGJzbZbEkTfa4der2f3/mOsWb+ZrKws8vLzKMzPo6JCTafOXXhz2svXvXjUzUx6Vi5HT8QTd+o0KSmppKalkpWRRm5WOkX52SASIVfaorRRUV1V2WLbiOuNysEVa4UtleoSKtVlZoUu3+AOPPfuYiNxpSHRVyQS0W/UY6xa8GGzx+AT3IGYviMQW1iiralmxS/v1e974bW3+eTdN5p1njNnzxN2xd+qnaML096cy0tPP8zR2NO8+Mrr7Nqyun5/aKfePDf3N6Nj1v3+BasXfly/HRwexZmTh5u94PHi63P4/MPZRkE2fYZN5L6n32nW8Zezb8ufLPthTouyJ6QyOV17D+Suu+7iiUn3taruyKmEJDpEhDYaKKRUORIW1ZuwqD64+wTj7OGHwsauxde6GSjMTeeDF0c3WvTRyy+EvXt24u3heh1HduuQV1DMD7/+zokTsej0OgwGAwaDAW1NDdlZmeRmZ1CQm4mmAQuUxvAJak9kTH8iYwbgG9yhTQLjBJrPf1H0VZcVs3PtQnasWdDQ+4Ig+l4t10P0NUdufhG//7WKNWvWsn/X5iZXmty8A7l93NN0HTDabDGDi9Roqnn32eHkpDduOH4lUpmcJ2f/Qkj77mb3GwwG8jLPczbuQH00b2FOerPOrbCxw93Ln3OnjzXduRl4+YXQu+8g7hh2Oz26dWbOe5/y2y/fmFhHKGzseOHVN5nx6tNtloaU9n/2zjMsiqsNw/fSy9JBQUVUsIGKFXvvvffeY/yixtiixsTE3ns3lth771iwAAoIKiBSBFSq9N52vx/E1XUBQRHQzH1dXjDnnDlzZll3Z5553+d9Hcb+wyc5f+4sbs4OOV6wfoi6pjaHjp2hT7d2+T5GVlYWsxcsZ/WSebmOKVPekrsOd6hkUTbf8wqUHATRV0Dg+yMrK4ud+47z2N2DqlWr0LNLeywrlivuZeWIo7Mri5cu5+6dm8TnYAHxIeZWNWjSvj8NWvUqETfZsW/D+HWEojfyO1RU1enQrR/z5sz4LN97QfQV+BbIysqS3Q/8tngtSxbMyH2wSAQf3dupaWihpq6Bqtq7f2ooKSmTlppMckIcKUnx6BmWpk6zLoS/CeDZRxl072jTuS86urro6epRsWIFrCpVJDzyLRcvXuThfftP3t+8Q0VFDTOLytRu0hnrus0xt6ohs7z7bVQj0lJyivQVoa1vkmth5YKgoSUmKCg414JzHyORSLCwrM7rwBcoq6gyeOQk1q38U65w3uMn3tS1ff/QrPfoX+nQ/31BvgfXjvHPupmybR19I+4/cKJm9ZwjiD/m+NlrDOglX8DaysaOib/tQKybv/N4R1pqMsun9ZCzFigotnYtuHHpLMZGBf+euHXvEWvXb8bxrv0nffrfoSnWxcTUApMyFTA1t6Jxu74YlTYv8LGLkpTkBFb90jfHQCktsS416zSmZevW/Dr9R/T1hKjSD8nIzOTYqcvs3rOXezcvFpotjoaWDtZ1m1OjQRus67VEz7BUocwr8Hn8l0TfqPBXXDuxHccbx8lIS81rqCD6finFJfp+SHp6Bheu3eHU6XPcunE5zwqRVWo1ZvD/FmNazjLXMUkJsaye1V/BaqB5+x6Eh7zhhadrjvupqmswfdlRKlTNvkmKDA3iqbN9diSv5yO5ojR5YWBsSq16jWnStBkd27aiqZ0t8YlJVKxkledTTbGuAR269UVbWxslZWVUlVVQUVFBWSW7+I5p6VL07t6RapUVo54Dgt4wc+4fnD22D6lEQs+Bo9i0ZillTHMvnPClRMXEcej4ec6cOYPjnWsKnnVlyltx8uRJGtWvVaB5wyKi6Ny9L+4P78jaJs7fjv3p3fh5vn9PWlhZ4+vt8VlP1QWKF0H0FRAQKCm8DAzmz8XLuXTxHBGhud9sq6ioUatRexq374913RbFGv1if3oXl49uyjXa9x11GrZixfKltGuZ8wPtnBBEX4FviRt3nGjfqnGeY9Q1tElPT0WaR4ZhXugbmRIblXOxyJnzl7Lirzk59iUkJrFg0Rp2bF5FcmLuXq05oaGlg6FJGeJiIhBJMnIMeMnJ03fv4dM0qFsL50fu3L3viJvrQ3yeueVZlAmyCzAf2bulQGt8GxXL0dOXaNW8ITZVFe/L/jfjdzav/lO2PWrGWhq26UNSQhxHt/7Go9tnZX0qquqcPn+Vbh1bKsyTG3sOnmLMsL5yba17jqHf+N8KZI0ilUrZt3o6zjc/7TmvrqFFkw4DcXe8SkxkiEJ/xSo1cXt4/7MFS4lEgqu7FyfPXsLe/jpPXO4rBPXkhqq6Bt2HTadNr7GFUiOnsMnKymTLH2Pwcn1/f1etlh3de/SmU/s2NG9SV7iny4W7Tm4MGTJEIZuqIGiKdTE0KYthqbIYmpTB0KQsFaraYmldH2WVwvOoFvgy/iui7+P7l9m35pccM+9My1Yk7I3ctaYg+n4pJUH0/ZjHT7w5fPws165e4qmbo0K6i4qKGqNnraNus6457i+RSNi6cAzPHr2vejpj/nJW/jWLp95+2NaomqtFwTsfqBdPHFk/d2ieFhTvKF2uEnXqN6FZs2Z0ateK2jUro5zDxYbXiwB27TmEr68vSUkJREVGEB0VibKyMj169WXh/Jl5VlzOD1ExcWRmZlHaxPCL5ikoKalpnDx7leOnTuPu4kzteg35e/s6uSf++eHMxRuMGzOSqIj3F1J1m3Wh08DJHN32B/6ej+TGu7h7Us+2ZKXeCnwaQfQVEBAoicTFJ7ByzSYeurpz5/r5XG+29YxK06htPxq360fpcsWTji+VSgl/E0CAlwv+Xi74e7kS/lox4k9JWYWJU+awfsXv+bqhFkRfgW8JJ5cnNG5gW2zHn/P7Cpb+MTPPMSFhkcya9xfHDuyQReeJlJTQ1tEnIz3tk3YzYrE436Kvf+BrhSy4Ddv3M/WHkXJtauoaKCurkpGRTrWa9bh++RympYzyXEdBmTprIRtW/iHX1rBNH3w8HiiI6Gs2/83PP44u0PwSiYR+wyZw+vBuufZhU5fTtGP+Pc99nzqzZvYA2baFlTWDhozE2roqQUGvWDD7J7nxWy4GAhDs9wz3B1dwvnlKTgAuzJojycmpnLtyiwsXL3Pvjj3BAd6frO9iblWD4VOXY25Zo1DWUFgc3bqA2+f3ybar1myAi+OdL/ZE/t5ZumYbf8z9mfQcIiHNLKqgJdZDRPbng5KyMvpGpTEw+VfYLVUGw1LlMDAxE/x4vxG+d9FXIpFw4cAaLh/ZqNBX264lv0yfjq11RWrVkgsaFETfL6Ukir4fEvE2hj0Hj7N80e/EvH1/gWBuVYO5Gy7muI+H03W2/TlOtl3GojIvX3ihpqbCktVbmTfjx1yP13Xoz3QbOo0N84fj7eag0C9SUsLC0pq6dk1p3qwZHdu3pFqlcnlaTgh8mvT0DCb/8hu7t6yUE+QNjM0Y8tNSdiz5QSHsv1b9Zjjfs0dDXbESsEDJRhB9BQQESjpvo2LZ9vdBDh7Yz/MnuV8Paevo06rHaDS1xGhoidHQ0pH7XUNLjKa2Duoa2l+9MFdosC+3zu7Byf6EQupnFZt6jBk/gWEDelHWLPf0TUH0FfjWOHD0HOs3bsTl/g0MS5UhNioiX4WUP0ZNXYPylaphU6sOJialOLxve67+ruoaWgwaMZEdG5fn20ItMSmFgKDXlDYxwthQD2VlZdLTM7C/68yVq/bcdbiNp7uzwsOm/Ii+IiUlOvcczPkT+xU+Z9Zv28e0SaNk29o6+jxwekgt68r5WvfnkpiUQvsufXByuJLrGG0dPZat3sz/xg/97ONMnPIrOza+9ybuNmw6XYdMzff+rncvsmvp+3vDchWroqmpRUpKMmGvA2VWdqpq6ujoGbNo7325v0dCXBSzBteVbSspq+Dzwh+rSuU/+5xyIzk5lafevng99+X5C1/8/f3x930hlx0J2bVx2vUZT9ch01DTKH5R9cG1o/yz7n0hVxNTcx49dMbC3KwYV1WyiUtIZPDIH7h8Wt4HW8+wFHate9OoXT/KWHzbhf0EFPmeRd+UpHj2rJzG04/sktp26ceCeXNo0ST72tPT05MaNeQeWn0V0VfIK8gn6ekZPH76HDf3Z4hEIurVroFtjaqF5h8LUMrYgNlTJzBuxED6DhrJnWvZqUDRefgdfZy+FRLkS9suvTl64O8cx1er3Qw1DU3U1DWRZGXy94opPH98V9ZvYWVNyzYdad2qBR3btsCsVNFG0X7vePr402/AEIWbaut6Lek6ZCqn/l4qJ/jq6hszdeY85v7yoyD4CggICAh8FYyN9Jk/czLzZ07mkdszNm3bzblThxWKRSUlxHLx4Np8zWlkak6LLsNo0WUYGlriQl+zWfnKDPlpCT1GzMD+zC6uHd8my1h64enKnGkTmTv9R6xrN6Rzl+5MHDOsxPouCwjkl2EDezBsYA/ZdkZmJi+D3vDCLxD/l4HExMSirS1GR6yNjlgbsY4YPV0d9HS00dXRQU9XjJ6eWCES/q/fZjJ9zu8c+2cHWZkZQLbv7NBRP/Db7KkFtlATa2sqCK1qaqp0btuMzm2bAb+TkprGtVsPuH7jFvEJ8ZQxK8PuratJS1XMOlBSUiI5JZX0jAyUlZRzjZg0M5Uv4rj973++uuAL2ed7/9ZFFq/awuLfZysUlarbqDVHD+79LHE0+HUY2/4+wImjh/H1cpPrq1Stbi575UzNBm3QNTCRWfDllkLfaeD/MDGzkBN8pVIpbnflg5AkWZk8e+77VURfLS0NGtarScN6NeXaz1yyZ/KkH2QWiRJJFtdObOPaiW2oqmugrq4l87FW19Smep3mdB/+y1d/EPkOh0vywqWaugYBQa8F0TcXHrk9o1//AQQHeMu1d+j3Az1GzBDsGAS+OcJe+bHtrwlyGWmqauosXrmZmVPGFsuahEhf8o70jY1LoFf/4dy5flahT0VVnXIVrLCsXB1raxtq1aqBXT1bbKpWQvkz/e+ysrLYfeAky5b8xcsXspePDWd8eBv2iuiIN2hq66CprYuWWA8dfWNO7VqE/Rn5dB/r2o34efovjB/RP9/HFikp8cI3EKtKJdsY/1tl086DzJ7+Y45eZx9egL2jY4/BHNy7tcC2EQIlCyHSV0BA4FskIzOTQycusPivP/H1+vzirFpiPVr3GE3rnqMLtTjcu6KzL30e8/K5Gx5O14n7SKT+EHUNLRat2MiMn8bI2oRIXwEBedyfPmfz9j1YWJRn6qRR6Ii1i/T45cqVIz5e8TpZJBIRF/fpQnFpaen0Gzoed1cnps+cU2AbhcLA/elzBg0Zjs8zF9TUNZg1fwkL505FSUmJl8Eh/LVsLTpiMX17daNZozo5ipExsfHsOXiSw4cP4eZ4K0cLPrGuIYv3OaKmrlGg9d0+v5ejW3/Ptb+mXVu6DfuZ8lbvxdaU5AQObvgVV4fzcmMbNGuH052rRSaoviM5OZWps35nz/a1socUeTF+7lbqNutSBCuD03uWce34Vrk2E1Nzwt4EFvnrVFKJionjwNEznDx5EieHa3LZOlpiPUb+soZaDfNfGL04yMrMQElZpVAzoKVSKcF+z3jx5AGSrCzUNDRR19BCTV0r+6eGJlY2Db4bIfx7jPR94nyDPSumkvpBQVKjUmU4cuxkjjUniirSVxB9yVv0XbpmG3N/mVSg46hraGFesQpWVayxtrGmTq2a2NW3xaqiucKHvUQiIeh1GI/cnuL62J1D/+zJ8amrReVaBPk+UWg3Ni1Po3b9kEqlctE3auoahIdH0LZTT9ycbinslxNtu/TjxsXjBTpXgU8jkUjoM2QcZ4/uyfc+Yj1DXvr7f1ZVXIGShSD6CggIfMv0HjyWM0cUs4fU1DVy9N3LDXUNLZp3HUa73uPQMyxd4HUkJ8YR+MKDl8+zRd5AH/dc09Hzokf/URzcswWxtqYg+goIlDC+VPQtKUgkEhwc3ahepZKs9khKahqVq9XkTZCvbJyhiRmNm7dFTV2dsJA3hIeF8DY8hPg8Cmorq6hiU78VXYdMlRNm84tUKuX2+b0E+nhki0rqmqhraqOprYtN/VaYlZePjA4NfsG2PycQEfL+81AkEjH2x5lsWbf4iwqS3XR4yIHDxwgNDSUyIoyot+FEv41AXUOT3v2HsnrJb3n64N53fsyYseNzLVz+jskL91CjQZvPXmdBkEgkONuf5MCGOTLrFRNTcyJCg4vk+CWV8Mho9h06xZnTJ3n04JbMSuRDLKrYMv7XzRiVLjkBaH6ej3j60J646AjioyOIi44gLiaCpPgYtHUNaNyuH626j8x1zVKplABvV3yfOqMl1qNS9bqUsagqK5ArlUoJ9HHH7f4lHt+7RFQeGd4Aa096oaFZtA/jvhbfk+grkUi4fGQjFw6skWu3qdOYi2dP5hrp/5+0d0hLS8f9mQ9u7s947vOC0qVLMXxwH8zLFPzmoLCoaVMdJSXlfBU5e0daajJ+3u74ebtz5YMAYU1tXSwsq1G5SnUA/HyfExzgk6+blpwEX4C3YcEKby6AwSMnoa+nw6P7Nzh35RZr1q7n3s2LMg9ZkZISJqbmlDWviEXFStSuXZupP4zK9zkK5J/te47mW/AViURYWFmzfMVqQfAVEBAQEPgiIt7GcOf+I5wePsLN1RU/H080tcTs3bObJna18zWHZSXFSvUA951csK1RleiYeKJiYomJiSM6Jo6YuDhCw8LZt+dvvD2cZePTUpO5cXIHt8/to3H7/nQdMiVP8TczIx0/z4c8fXgTL9c7hL3yK9jJ58K543up88wdt4f3CmU+AQEBgY9RUlKiVdP6cm1zFiyTE3wBoiNDuXjqQL7mtLRpQMPWvanTrAtiXYPPXptIJKJ1j/xFQKckxbNpwWiiI94LUTr6RmzduZeh/bp99hogOyK6Y9vmZGYqBkYA7NiwlLMnD7N6zQaGDuie45imDevg5eHM5Rv3CAgMIjExCR+fF+zfuU42xsCkDNXrNP+itRYEJSUlDEzKyHltDx05vsiOX9xkZGbi/uQ5Pr4BRMfGEhYewbWrV3B/6JBnVHar7iPpM24eqqrqRbja3JFKpVw8tD5PS6uk+BhunNqJ/Znd2DbqQJteY7GyaYBIJCLstT+Pbp3h4a0zvA2TF/w1NMVYVLXFqFQ5vN0ciHkbmu91udw5R91mXdASC5nAJYXU5ET2rp6Oh+NVufa+Q8dzYPemEmHRWayi7627jzhy/BQ+z70J8PMh5JW/wofBb7N+orZdC/r268+Y4QMKvdrqp+jWsSXHz1xh1IhBJMRG5TpOR9+YhDyeykL2F+fzJw/zLJJSGDRq0Ymdm1cA2V88vbq0pVeXtvi/fI3bEy8qWpTFppoVmhol40P1e0dTM++0K32j0vTsO4RWLZvTqV2LIn+PCwgICAh8fwwbO4VDezfLFQx9xx+LlnHt3JF8zbN04SySkpM5uHeb7DpITV2TUsZGqKqoUNrEUBbJ9iGzp07gzMUb/LVoiVzGUWZGGncvHcDT5TZ/7r6DsvL7S9GU5AQ8HK/x1PkGXq4OculxuSESiShXoSqVKlfjzrUz+TonP293tuw+SJ8uOUeYCAgICBQmCxavY+PqPwu8n1n5yjRo3Qu7Vj2LJfrx6Nbf5QRfm9qNOHPyaKF4+P5z5GSugu87wt8EMmxgD3bu6smOreupYmmhMEZZWZluHVsikUhYumYbxw/JZ6a06j6yyNPhPxZ/wsLCSE5ORUurYFYcJZ1XIeG4Pn7KIzcPnnh44OP9jCD/5woFGnOjdDlL6jTtTP0W3SlbsdpXXm3+kUqlnNm7XMGmI9fxEgnuD67g/uAK5pY2KCmrEPTCI9fxqSmJ+Ljfz7VfXUMLXX0jUlOTSUtJlns9D26Yg1QqpXnnIfk/IYGvRmiwLzsW/yAXmKCiosbCZesK7BbwNSkW0Tc1LZ0JP83mwK71fMpeQiLJws3pFm5Ot1gwZyp2zdqxfcsGala3KqLVQp/u7egT85Zb9x6xZPkqbl4+Jff0TiQS8ceOm2RmZhAa9ILQ4BeEBL4gJMiHkOAXpOTg4VpQypS3YuTYiYwbOZjUtDTevo3B45k3hw4e5OG967JI5AqVbbh09miOqTaWFcsJRUyKgRGDevImZDOXL1/i+TN3UpITZL6+5StV5+qVi1SrXLGYVykgICAg8L3wKiScg39vzLXfzfkeW3YdIiAwiNevXxEZEUGpUqWxtq5OrZo2NKxXS/YAUlVFha1rF7Fh5R8cO3MFV1d3OnVsQ/ly8gWTEhKT2Hf4DCGhocTExBIXF0tcbCxa2to5+tZHR7wmOTEOHb3s4yQlxLJ4cqdPRryI9QyxrlmPeg0a0qJZE9q1bCzLjGnUohPOd6/muT9kV3uvX9v2k+MEBAQEvoSsrCxG//AL/+xan8sIEYYmZdA1NMHQpAz6xmYYGJtiYFwG0/KVKWNRpVA9Q/NCKpWSkZZKSnI8yYnxhAb74nzzlNwYN2eHQiti/tDZSW67co2GVKhaGx19I1wdLshlud65fhbbWvb8NH0eC+ZMVbB88HoRwPCR4xQsDUuXs6R5l6GFst6CYFJG/r7uyL4t3HOwZ/fff9OhVZMiX09hEB4Zzead+/Hw8MDf14fgly/yDIjLjbIVqlGnWRfqNO2MWfnKRfb+LggXD67LVfDVMyxF9Rp1qVHLFl+f59y1vyCXEf7KP+fMfHVNbTLS0+Q0pA/R1NKhaetO9O/fj8F9u8r5qf/6x0qWLZwl2/Z75kztJh1l108CxcPDW2c4tPFXucKdBsamHDxy/N+CpSWHIvf0dXvizcBBQ/Dzds9zf7GuIYnx0Tn21WvcBpcH9gVe0+d4+ubEC78gxk6cxL2bl2Vtc9adx6JKLYWx6akp+Pxrxh0ZGkRIkA+hwX4oKYkwNbfCrHxlEuNiuHp8i8K+IiUlGrfsxE//+x8DenXM1fz9ZXAIu/cfISEhkXkzf6KU8een/AgUDeGR0bx6E0rN6pVRLwEh/wJfD8HTV0BAoKiRSCRYWFnnWpk9P3TpPZTzJ/bnq/BMVlYWFayseR34Il9zKymr0HnQT3QbOk3W5ulym00LRuY4vlGLTvTu05f2rZtiW6Nqrmt6FRLO2o07iYyMRFVVVfZPWUUl+3cVFdQ11OnQpgVN7GoLnr4CAiWM78XTF7KLjXXtM4TbV0/na7yhSVladhtBs86DCz1128PxGhcOriU5MR6pVIJUIkEiyUIqlWb/lEhIS03+ZFG0x0+8qV2zcCIy6zRshfvDO7JtFVV12vQaQ6cBP6Kuoc3dywc5u28lKUny7wdNLR2at+vK8CGD6derE8vWbmP5X/NITZbPDGnYti/9Jywo1AKi+UUikXDlyEYuHdko95oqKSkzfNwUtqxd8k1F/R47fYWJ40cRm0ex1NzQ0BRT2tySOk06UadpZ0qVLfmBTlN7V8tXtLJ17UYcOfQPq9Zu5uSRPSQlyH9Gqaio0bBFe4YOGcrwQb2QSiXY33HklsMDHj10IizkFVWr12LggH4M6NU51/fEll2HmDxe/uGFlliPniNn0azTYJk/8LfGt+rpm5GeyvEdf3H3krw1T7Vadlw8d4pKFmXzPdd3WcjN0c2b/00YKaeGq6iqU6VWI8zMrTCzqIJZ+cqYmluhJdbjbVgwrncvcmbPMrm5VVTUiI6JLnBF2cISfQEioxMoZaQr254wbxt1mnaWbUskEhyvH+PMnuUkxkejoqpOpep1qWrbhKq2TahQxVaWauLhdJ1tf46Tm7/34LEs+mMu1lUqFWhdAgICJQtB9BUQEChqHBzdGD16DAE+uacX5ofl63by8+RRnyzUc9/5Mc0a1f3kfNo6+jTvMpSW3UaibyTv55uSnMC6OYMJ9nuqsJ+6pjZLVm5k+uT8+VDmF0H0FRAoWXxPom/XPsO4dPrgZ+1bq1F7bBt1oGbDtl8czefleofNf4zJNcKwIOw7coYRA3t+8TwAB4+dZ8yIAQoFQTU0xdRq1D475b9Sdc7uXcHDWzkL52rqmgrinJ5RaYb+tJSadm0LZZ1fwuuX3uxf84tC9GeHHoO4evZwMa0q/6SmpTPxp9n884nsbFU1dcpYVKVsxeqUq1SdchWtMStfGS2x3jcpSG78bQRernc+PRDYc/AUo4b0Ji4hkbWb/+bIoQNoaGrSu08/Jo4eUii2jRKJhJm/LWXT6sUK73e71r0ZPXNdLnuWbL5F0TcyNJidSyfxyu+ZXPvAkZPYs21tge1Tv0vRt2HjZnJFy8wsqjB21sYcPVwkEglPnW9w5dgWAn0eK/Q7PvKgUX3FyNq8KEzRNzNLipa2Fhn/flENn7aSJh0GAJAQF8WWP8bmuO53qGtoYVXDjqq2TahcsxFn967gufv7oiI2tRvh4nSnRBg/CwgIfD6C6CsgIFCYpKSm8fiJNzo6YowM9DA21EdNTZXHT7zZsecgF86e4PVLH3T0jEiIe596OWjyInT1jTm+faHMQkFb1wADY02cbkkAACAASURBVDN0DUyIiQwhIiRQIdJLXVObqjZ1qFPfjhZNm9C/VyeFh+6Xb9ylS/sWsm2j0uUQ6xqiqa2LllgPLbEuFavVoX6LHqhp5F6JPSszA9e7F7l+cjuvA7zk+kQiEeN/mkO3zh2wq1crRx/hd0gkErlo4PT0DBxdnnD3vhOPXFzwfuaBr9djRCIRYrE4xzkE0VdAoOj5HkRfiUTC8nU75PwcNbV15SJWT56/zvDBfWV2b+8QiURy4ppISQnL6vWxrteC6nVbUN6yRoFEtCDfp6ydPUAu4Opz0NbRp3mbLpw9trfQ7B0AfHwDmTZzHlfPHc5RVNQU61K7cUf0DEvj4XSN0KC8s0madBhA33HzS1SRq6zMDK4e38qlwxtk36/qGlokJyXkK5OmuEhPz6BB0zY8cZEvelq2QjXKWdpgVr6yLFjPuLT5Nynu5kZWZgbn9q/i2oltnxz72+K1/Dl32ifHFQYHj51nxODecnYSAFsvBRXJ8Qubb0309XC8xr41v8h9lmtq6bB6w3YmjR38WXMWlehbpJ6+Uun7YiLVajdj0u+7UVOXD2PPysrE1eE8V45tyfWDvWKVGoWWWvK5qCiL0NLWJe5f0TcuOhypVIpIJOLiwXV5Cr6QXcXa0+U2ni63gexUxw/xdHdiz4GTn/0GEhAQEBAQEPi+8HoRQEO7BiTGydtf5RTtlBAXRU27tvh5PWLEtFXUbtIRgNpNOhEbFYa2WF9BgM3KzODkrsXcOrdH1paWksQTl3s8cbnHvm1rmKZvxNCRE5k/eyplzUplHytRXlCYufoUeobykbz5QVlFFbvWvWjQqifPH9/j2oltsgfiUqmUHRuWsmPDUiC7CKpFpSqYmpUjPj6W2Jho4mLeEh8bTXJiPKblKtC4eRvevHrFE7cHCuKKgICAQGFz3/kxP/5vipxQpqEpxqqGHU+dbwBgZl6JXl3acOX6LWbOmouahjpNGjfl4oWzhLwOliucJpVI8PN8iJ/nQ87tX4W2jj5VbZvSccAkylvVzHMtiXHRbP59lJzg22PAKCwrWaKkpISyijJKIiXS0tJISEwkKysLJZGIqOgozhx5XwzNtFxFOnfvy6hhg1BRKVxhr2rlClw+c5Db93/m5+kz5OweAFIS43G8fhwA63ot6TpkGv5eLrg6nJfziTcwNmPolGXY1G9VqOsrDJRVVOkyeAqm5lbsXJL9ICAtNRm/l69yLExXUrh176Hc+1hFVZ2+4+bSstvIEunDW5goq6giEuVPkPf09CQhManAGegFIehVKL/+vpij+7crCL4N2/T5ascVyCYpIY6Lh9Zx66x8kcgKlW04deI4dWpVL6aV5Z8iE33PXLyBisr7qFWJJFNO8M1IT+XB9eNcP7mdqLBXCvtrauvSrHUnevfqxcjBvUtEBKxYV5+46AgAzu1fxd1LB7G0aYDvUyeFsTr6RlSvUZcnbo4KnkNAjik3Zv/eTAkICAgICAgInDl/VUHwBXL0nlNVU6dmo3YMnLRQruq7SCTCwNgsx/mVVVTpO24eSQkxuDhcyPHaJCE2im3rl7Bj0wq0xLqoqakTHSlffE1FtWDpbR8jEomoXrc51es2x/nmKfat+QWpRCI3JjYqnNiocHIzsAgJ9ufkQf8vWoeAgIDAx0gkEpJT0oiJiyc2LoGEhERiY+PZ889BTh3arSDK9J+4gJtn3z9Ia9qyHUpKSjRvVBcnhyuy9mULZ/HQ7Rl79h/m6uVzvHwhnz4M2QUv3e5dxMfjPov23EeKFE0tnRzX+fShPQmx8hlljg72eLg+JDkpgeSkBFKSEz9p+xD2+iV7tq5iz9ZVmJlXolO3PowbNZQmdrU/+Vrll1ZN6/PY+TbXbj9g7/5DXLt4mqiIELkxXq53eB3gxa8bLtJv3HxePHXi6UN7NLV1adtrDJraurnMXjKoUEW+eKibh1eJFn1jYuUflE5ffpSK1eoU02qKnoZte+Ny93yOutSHnDq0i8AAf1wdbxbKcSUSCU+9/bhy4zZ3He7y2MWRkGDFaxmxnhG9Rs2icfsBhXJcAUVSU5K4dW4P109uJ+WjwIFufYdzaO/Wryr2FyZFJvrOny0f9p6Vlf2FmJKcwN2LB7E/s0uhsjNkV8Ab98NU5s6YjL5ezl9qxYV5+Uq8+aBoSczbUFzunMtxrI6uPs53r5GenoG9gxMXr9zg3t3beLk7k5GeJhunpq5JHbsWTJw4gV5dit+LSEBAQEBAQKBkMKB3V1YtMyXmbViO/coqqljXa0n9Ft2p1bAdGlo5WxfkhbKKKqNnrmfolOUE+z3l5XM3Xj5/TMBzN+I+KOIiycrMUYAW6xrmKkJ8Dg3b9EFbx4ALB9bw+qX3JwsNCQgICHwNEpNS+GPpOvbs2KjwoCsndA1M6DtuHhWq1uHw5t9k7TbW1rnuY1e3BuER7blzW75g+cfZHEkJsfzczwYAU3Mr2vUZj12b3qh+8MCtYvW6aIp15cSKyE8IWJ8i9FWATAA2r1iNbr36MX7UkEKLdOvQqgkdWjUhK2s9l67f5Z+DR7h8/rjsuyY+JpJDm+YyacEuqtVuSrXaTQvluEWBvrGZ3N9x3br19O/ZAeUSaosQExMrt21a3qqYVlI8mJWvwsIdtwjye0qgjwcB3q64OpzPcayb0y1CwiIxLWVUYMuOjMxM7ju7c/3mHe7fu4eHq2OeBfOUlJRp2X0k3YZOK1E2Jt8TGRlp3L10iCtHNyk8OFNT1+Sv5RuYNXVcLnuXTIrM0/dDdA1MmLRgF3HRERzc+KvCiwnZqSSTp/zC9MljC626ZWF6+gLcdXJj7Nhx+HrlbeUAUK9xG1we2Cu0JyencvnGXdyfPKNqZUt6dWuPWDt3vzsBAYFvC8HTV0BAoDB5ExpBt14DFNJgAVYd9fhqlcqlUik+Hve5fnJHrgVOSpezZPjU5VjaNCAyNJitC8dQq1EHtHX0CA32JSM9jSq1GmPbuAO6+sYFXkNWZgaRYcGEBfsSGuxL2Cs/4mPeoq2jj7auATp6Roj1DFBV08DfywUv1zvERUdgYFKGrkOmYtuoA5ePbuLmmd0AgqevgEAJoyR6+kokElas38mqZX8RFfHmk+OVVVRp03MMrbqP5Oi233nidF2uv2mbruzbtQ3LiuXk2h88dGfGrF9xvHOFj2ncqjOGhkZcPHVAoe8dekalGfnzaqrXbS5ri454g8Olgzy4djTH++28UFJSxsyiCqXKVOCZyy1ZHZucsKxmy4I/Fn6yyJtEImHCT3O4ce0iQX5eLF2zjYmjB2Ogn3uUblhEFD36DuLRvRuytjGzNtCgVeEUlCtKdi//SS5AbPIvC9i0amExrihnwiOjqVW7LhEh2V6xmtq6rDzyGGXlInUGLVFIpVJ+GVhLIeLzQ9TUNTEuXQYT07KYmZWjXLlylC9vTkWL8lSqWJ4qlhXIzMrC/vYD7jk64/LIGU/3h3IesXlRvU5z+k1YQBmLKoV1WsVKSfP0zcrKxOnGCS4eWk9MZIhCf73Gbdiwfg1NGtjmsPfn8d0VcoNssbdD/0k0aNWTs3uX8+DaMYX9KlS24edfZjFp7JBPVosuKIUt+r7jVUg4V244cPuOA4+cHuDv80QhVeaXeUtYtahkmVELCAh8fQTRV0BA4Gtw0+EhEyZOwP/5e4ODQZMX0bLr8K9+7NDgF7x8/pj0tFQyM9LISE/DrHxlajZsR1x0BDfP7ObZo1uEv87ZXuFdcaJylapjbFoeYzMLLKxqom9sWqjrlEqlPHt4kyvHNhHg7QZkF69Lio/JXocg+goIlChKoug767dlrMzHPZxIJKJGgzb0HTcfTW0dVkzvRVT46xzHli5bAR/vpyQlpbDt74McO3wQn2cuX7xWw1LlWLz3vkJ7ZkY6Hk7XefncDRVVdTS1xGho62T/1NJBQ0v87++6aGqJUdfSlosaTk1JwvPRLVzvXuDZo5tyWaofnr/fy1dUsiib6/rcnz7PMSq4UYtO9OzVixGD+1DG1ESh/01oBNbWNsT/K1xr6xqwYOt1dA0Ux5Zk4mPfsvSnrsRGvc/WGTLmf+zavApNjS+zRSosnF2fMn7iJJ66vn8fdRkyle7DphfjqoqfrKxMFoxpQXTkpx/8FAYikYgyFlWxtKmPlY0dVjXscrXm+lYpKaJvaLAv7o5Xcbp+gogQxeu+6rYNWbRoEX26tSv0Y393om/7vhPoNnQ64W8C2L5ogsKXYHXbhsz59VeG9e/+1SpZfi3R92PCI6PZe+gEp06cwMP1ARaVqnH/zg2Mjb5O9I2AgEDJRRB9BQQEvhbBr8OoZWsrqy+gqqbO0J+W0aB1r2KrCv7U2Z4tC8cUeD9lFVVG/rKGBi17FGi/2Khwrp/cTmRIIPExkSTERqGlo4eldX0kWVncu3pYwQ/4HYLoKyBQsiiJom9tuxZ4PLor2y5vVZN2fcajo2+MhqY26ppaqGtooynWlVnbPLx1mj0rp+U2ZfY8laoTEuxPZqbiNaK6pjZNOw7i4c3TJMYr2ujkRuUaDZm+QjGoqjBJSU7gidN1Tu1eomDNOGL8NFYuWUApY4Mc9w0Ji8SmRs1c09eVlJSpWb8p3bv3YtTQ/nLR0Ft2HWLy+KGy7dY9xzBg4u+FcEZFS4C3K2tmD5SzKqpYpQZHDx+mQd0aeez5dbnv/Jh5C/7E4fpZPtSHqtZuypS//kGphNpQFCWhwb7cubAfpxsn0DMsTXxMJKkpirWaPgdlFVUsKtfMFnht7KhkXR9tne/bvqG4RF+pVEqw71MeP7iCh+MVwl7lHKBQsUoNfl/4F8MH9Phq19Tfnej729braGnrsnRqN7kvCA0tMb8vWsWsqeO/+g1KUYm+AgICAu8QRF8BAYGvyeGTlxjav5v8TZptE/735z5UVIu+6G3gCw+WTyuYcPsO28Yd+eG3Hfken5GRxvJpPXnz0vuzjlepSk0iQwNz7BNEXwGBoqckiL7Xbj/g3PkrvH7zmrCQENwf3SUtNRmAZp0GM/h/Sz55zxr7NowlU7rKWSqoqKghUlbK0yZBRUWNJh0GoinWJeiFB2mpyUSFvyI5MZ7MDMXo2g/p0H8SHfpNKjKh6MUTR9bOGaTQrqauSYt23ejYsRN9e3aiYvkycv13ndxo0bhevo5hWc0W27oNaNSwEQ3r16Z9m+YyT9yGbfsy6pc1X34ixcCjO+f4Z91MufeCmrom8/9cwbwZPxbpQ9tb9x7x2+8LuX/zokKfgUkZ5qw//1l2TP8VUpLiiY4MJSYyhJjIEKIjQ4h5++/221Bi34bmGBmvrWuAReVaWFrXx6qGHRWq1EZNvXAsTb8VilL0zcrKxN/zEe4PruLueDVH+4Z3lClvya/zFzJpzKCv7rldVKJvkRmzZKSnsW3NeDnBt0bdJhw5tB+bqpZFtQwBAQEBAQGB/whvo2IJCY8kIjKK8Mi3REVFU7+ubaH6cRUlEomER489iY2Lp7JlBSzKmTK4bxfsf5zB7s0rZeN8PB7g4XiNei26FfkaLSrXYtDkRVw9upmYt6GoqKqjJdYlIfYtnwo0qNO0U76PI5VKObtneb4EXxUVNYaOmUxDuwa8DAwiLS2Nnt06Y25mQL16+RMfBAQEvm/eRsUyeuIULpz8J9cx5SpZ50uQ0zc2Zel+JyJCXqKhpYO2WB9VdQ2C/Z6xfFp3hc/CClXr0LBNb8S6BpzZt4KoPAuuiWjbZxwJ//qZ12naGUubBvlaV8zbUIJePEFb1wAzcyvEeoaf3Cc3KtdsRK9Rs7l6Yqucz2l6Wgo3Lh7nxsXjzJwCFpbWNGnRmi4dO9C9SxuaN6pLZmYmy9ftYN6MH/M8hv9zD/yfe3Dq0C6FvqYdBn722oubBi17UK5iNXYvnyL7DktPS2HB7J+4evUKxw7uydHmojBJTEqhZ//h3Lx8UqFPRUWNJh0H0GXwVEHw/QSa2rqU1dalbIWqOfZLpVKS4mP+FYDDyMhIw9zSBmPT8ohEoiJe7X+PiDcvuXp8Kx5O12TWXjmhoqJG7YYtGDhwMFMmDkdNTbUIV/n1KTLR1+XOWYJ8n8i2m7frzq0rp0tsxUoBAQEBAQGBb5OItzG0ad8FT3enHPv3HDzFqCG9i3hVn4dfQDAnz1/hxvUbPHK8I7NygOyLVKNSZTAxLYOaugbpH0QNebreLhbRVyQS0bLrcFp2HU5mRros2jg1ORHHG8d56myP71NnWUqzuqY2FarWpm3PsdRs2DZfx4iPieTgxl/lCiSVLluBlm07YWJswsuXAbi7OhH6KoAGTduxZdM66tlaK8zj6+tbCGcsICDwrXPg6DmmTZlEVETu0V/KKqrUtMvfZ9S78Wbl5QsuWVSuSb/xCzi7bwV6hqVo0Kondq17U7pcJcJe+bFwYn7ml9KobV/KVXzvjRsdGcLN07sIe+2Pto4Bdq17YVO/FZD9sPD+lcM42Z8kwNtVbiaxriGlzS0xM7fC1NwKkzIV0DMohZ5hKcR6hrwJ9MH9wRWePbpJemoK1es2p2GbPlSoWhuRSETHAT/SusdoXO9d5N7lgzLv9A8J8vciyN+Lw3s2o6Kqjk1tOxo3aY61dXWOnr7Czl27sb904pMPBT/kXXTkt4xZ+SrMXnuGM3tXyIqLAty/eZEaNWtx8PAxOrdrnscMX8bfB44rCL6qauo06zSEDv1+KHSP/f8qIpEIsZ4hYj1DzC1tins5/xmkUikOlw5wcteiXLMr1DW0aNS8Pb1692LYgF7ftRVrkYm+qSlJctsL5s8VBF8BAQEBAQGBQkUikTBw2NhcBV8AR6eHJVb0jYmN58zFG1y+cg3He7d4Hfgi17GZmemEhwQSHhKo0JeSlPAVV5k/PrSX0NAS07rHaFr3GE1qShKBPu6oqqphUcW2QDYUHo7XOLB+tpzPpYqqOqdOnaaJXW25sRKJpNi8jQUEBEo+EW9jGD3hJy6dPijXrqauibmlDfpGpugbm2JgbIZt4w4Ylsq9SFl+adNrDG16Kfqem5pboSXWIzkxbxuLUmUrUeYDMTnwhQebFoyUi2J7eOs03YZNp+uQqVw5spHzB3K2QUiMjybRMxp/z0f5WntEyEvuXNhPqbKVaNJhAC26DEVTW5fG7frRuF0/3rx8juON43i5ORAapPjdlZmRhseju3IeyQVFSUmZHiNmfBdRkqpqGvSfsIDqdZqzf+0MmR1IzNswBvTrxZMnTxXsMQoLi/LmctuVqtdjwryt6BmW/irHExAoKuKiI/hn3Uw8XW4r9Il1DWjWujP9+/VhQO8uiLU1i36BxUCRib61m3TC8fpxmWn5gj/+pN2tS0V1eAEBAQEBAYFvhIi3MTzz8sXH1x+pVMqIwb3zfWG2bO12bl89nWu/SCRiYL+SIfgmJCbh+dyf5y/8cX7kyt3b9jx/5ipX4OVzUFPXpNOAyYW0ysJHQ1ObarWbFni/F08c2b5oglxEmK6BCVt2/K0g+AKC4CsgIJArwa/DaNq8pcKDtaq2TRg2dTnGpuWLdD32p3flKfhqaOnQsutw2vWdICuqlRAXxfUT2yGHKNkLB9bQvMtQXn+m53leRLwJ4MyeZVw5upmWXYfTptcYdA1MKFuxGv3G/wZk+xp7u9/j+eO7eD++J+dvXBDqNuvC0CnLCHrxhLDXfphb1sDKpkFhnk6xU6NBa+ZvvsL+tTNkQlViXDRDR4zl3s2LX+W7rHvHllS3bYi3hzMAYa/8UFP/bwhgAt8vsVHhLJvaTS4rDqBTzyGMGT2Snp1bf3fWDfmhyERfA2MzWnQdzq2zfwPgePsyl+3v0blts6JagoCAgICAgEAJQCKR8NTbj2feL/D19Sfg5UsCA1/yJjiQ8JBgkhJi5cbv3NkSlwf2eWYIJSQmsWbz3yz5fbasTaxrSLs+4zmzd7msrVOvIbRpUXxpobFxCSxbs5V/9u4kJNgv3/uVrVid6nWaUb1OcwxLlyP2bSjREf8WDYl8I/tdXUOT/hP/wKJKra94FkVPakoS+9fOkBN8m7fvwcG9OzAvI0QmCQgI5J+wiChatG4rJ/hqaIrpM24ezToNLpYoUqsaDVHX0JIVjXuHjr4xbXuNpUXXYWhq68r1hQb74nZPsQAXZBeK0tAUY2puJWtT19DiyTMvkpKScfXwxNPTm+fPnxPg58OrQF9SkhSL6KlraGHXrC3a2jrcuX6elOT3WSSpyQlcPb4F+zO7adKhP12HTEPXINuLVt/YVBYBLJFICAl8jvfjuzx3v8+bwOfERYXn63XxeeKIlliP6nWbU73u17M7KG50DUyYvHAvO5dM4vH9ywA43rnCivU7mfPzxEI/npKSEnN+/ZWRg3oBkJwYxxPnGzRs06fQjyUgUFR4uznICb76RqXZtG0XQ/sVvd1ZSaLIRF+AzoP+x91LB2XVR6/fuC2IvgICAgICAv8hbt93Ydy4cfg/98j3Pu4P7zD/rzUs/WOmQt9z35csXbmBk0f2KojFI35excXD62Xb6prabFy97PMX/wUEvQpl4dI1HDuwk6SET1eh1zMqTfU6zalepxlVbZuiZ1hKrt+03H+rCO7VY5uJCn8t2+4/bCJH9m35LqN5fXwD+fvAUUxLl2LKxBGCHZqAQCHyNiqWFq3bE+TnJWurVL0eY2dvLBT7hs/FonJNftt6jRdPnUlPSyEjLRU9o9LYNuqAmrpGjvtYWtenXCVrXgd4KfQNm7IcNXUNKlatI2tLS00mMyuLOrWqU6dWdbnxEomE6Jh4Al+9Ifh1KK/fhGCor0/Prm3REWsD2Q9X/z5wgp07tuP52FG2b2ZGGg4XD+Dpcps5684rFIhTUlKiXCVrylWypn3fbAEzNSWJyJBAIt68JPxNABEhgUS8CSDizUu573JL6/oFfCW/XUQiEYP/txg/z0eyyOg/58/EwECf8SP6F/r33c3bDnLbxqXNcxkpIPBt8PGDMYe796hZ3SqX0f8dilT0VVZWIevfwh0ApU1L5TFaQEBAQEBA4HshNS2dn2cvZOfmlZ9lX7Bm2e8M7Nud2jWrIZFIuHD1DmvWrueu/QUkkiyF8fVadOfpo5sEvXgvLo/78RcsK5b7ovMoKK4eXvy5eCWXzhyWPfTOCQ0tHaxsGmQLvXWbYWpe+bvwLCwsPhY1ThzayQCphEN/b/5uUvUuXXNg5Zp1cvYk589f4PLZI6h/J+coIFCcxMYl0KJtJ3y9HsvaKlarw09/7UdDS1yMK8vGqLQ5jQsgvCkrqzD5jz1s/mO03Gdk215jqd2kIwAVqslb39jffoB1lUoKcykpKWFspI+xkT71a+dccEpHrM3UH0Yy9YeRXLh6h8VLluHkcEXWHxX+mrmjGqOppYOauibqGlqoaWiipqGFnoEJbXuPo7xVTSDb5sfc0ibH4laJ8TFEhLxEmpVF+co18/16fA/o6BkxdMoytv05DoCU5AR+GD2ITRs3sGH9Olo3Kxxrixf+QRzes0W2XbV2Uyr9hwR2ge8TEzMLue3IyGionsvg/xBFKvoG+rjLpeV1aP39pmgICAgICAgIZHPXyY2RI0fx8sVThT5VdQ2MS5tjbFoeI9Psn8am5TEubU505Bu2/JFd8CY9LYVhI8cwYuQYtm/dSIDPkzyP+fjeJTkx2Lh0OZYtnFO4J5YLWVlZHDh+no0bN+H6wD7HMRWq1KZF12GYWVTB2LQ82jr6gsibBx0HTCbA203meSmVSDh5cCfrGtgxa+q4Yl7d5yORSNiy+zBrV6/I8T1968opVm7YyfwZPyr0+QUEc/HaLVzdHvPsiQd+Pk/JTE+nXuOWDBs2jOEDeqKllXOEoIDAf42srCzaduop8zAFMLe04X9/7isRgu/nom9syq/rL/DK35M3gd5oifWxbdxB1q+jZ4SRqTlRYa8AcHJ25qcJw774uN06tqRbx5Y8eOjOhB9+lEX+ZqSlkpGWmuM+/t6uLPr73ifnFusaINY1+OI1fqvYNmpP8y7DuHvpgKztmdsD2rZoiPa/r8u76wUR/143iEQYmZRm7PhJzJo2AVWVvGWeX2b/RvoHf6feo38VrkEEvnmMzeS92L18fIvV0q2kUKSir7+3q9z2zzPnMmjgQIYN7FngynmxcQncdXQlPPItCQkJJCYmkZiURFJiEonJSaSnpVGndh0mjxsqXPAKCAgICAgUA+npGUyb8yc7Ni6Xi+5VUlKmQ/8faNV9JLoGpXK90ShbsRotug7D4WL2jY/nY0dmf5BSmhcfCr5KyiqsXLPhs6v0ZmRmctX+PidOncX9sQulTMswY/oUOrRqIjcuPDKaleu3c2DPDsJDAnOcq6ZdW9r3nYhVDTvhBiufSCQSzC1t+G3bdW6c3MGtc3uRZGUC4OuXf1/kkkZWVhZ9hozj3LG9eY6Lj1P02dx/9CxjhvXPMWr+nv0F7tlf4JcperTp2IuB/fvSqX0LjAz0CmvpAgLfHLv+OYGb0y3ZdhmLqkxZdAAt8bf//0JJWRmLKrVy9XKvWLWOTPR95PSgUI/dxK421y6dpb5dI0JfBeQ5NiYipFCP/T0z6Me/KG9Vg/P/rCY+JhIAqVRKYlx0rvvEx0Qyf+ZkdmzdxOIlyxg2sEeO41w9vLh0+pBsu37LHlj8xyKqBb5P1DW00DUwkf2f8fX9dq8RC5MiFX2lEonc9p1rZ7hz7QwL5plz5uy5HCsvA6SkpnHf+TEO951wcXHhmbsrr4NeKMz3MYeBxQvnMmz0D8yfNaWwTkNAQEBAQEDgEzx46M6IkaMUvHvNyldm5PQ1+S401nvMXDxdbsv5ub5DU6yLjq4Rb8NfyUTADxEpKdGsTVfmz5ujINC+wy8gmJjYeBrUrSHXHhMbz9FTlzh77jwP7lwj/qPK49fPH6Vuo9b89ts8enVpy4Il61j+51zS01IUjqGsoopdq1606zuBMhZV8nXe/2UyMtJwtj+F271LJCfEEvbKjyq2Tk4GGwAAIABJREFUTXjqfANdAxOUlJRlf+/dm1fgeN+ByZN/YuLogd+Mx29GZiY9B4zi8umDuY7R1tGnc88BzJv1P4W+kyfPfNImJSkhjvMn9nH+xD5ESkpUsLKmboPGtGjejE7tWlLF0iLP/QUEvhckEgnLly6SbesZlWbK4gMK3rPfK5bW9XC5cw4AXy83Ll1zoEuHFoU2fxlTEx67PuL4mctERUeTlJhEUnISSUlJuLu54PHoLpCd2fMlJMZFc2bvcgK8XWndYzTNuwwtjOWXSJSUlGjWaTD1W3Tn6vEt3Di1K0+LqA8JDvBm+KCerFnbinVrVtGiST25/plzfpM9GFdSVqHHiBmFvn4BgeLCxMxCJvoGBPgX82pKBkUq+jbrPAQvNwc5fz2AyLBXdGjXmk3b/gbA1z+AAP8AgoMDCXkdxOtAv3x/yH1MXHQEm1f/ya7NqzA2MfnicxAQEBAQEBDInfT0DGbMW8zWdUvJ/MDHX6SkRId+k+g6dCqqqur5nk9DU5thU1ewYd5QmUWUqbklNvVaEeT7FD/Ph4r7aInp2X84c2f9jIa6GkaG+nL9EomEM5dusmrVapwcriKVSmnbpR/LlyzkzPmrXL50AQ+X+5+89nBzukXvrrewrGabY2E6PaPStOg8lKadBisUYhPInSOb5/Pg2jG5tqfONwBkF/LvkEqleD525MdxjmzYsI41q1fRtGEd3J/58MzTB6/nPrx9G0mLZs2YOHpgiSiK9viJN5On/oLj7cs59o+c8DN9e/egU7tmCim6WVlZPPF8QVCg/I2Mdb2WWNk0ID0tlUd3zsqi+t4hlUh4+eIZL1884+TBnQCYmJpjWcWGlNRkEuPjSEyIIykxnvTUFMzMK1KjVl3q169PsyYNadqwDpoa+f9/KyBQkth76DQvXzyTbXce+L//1GeyXevenN23itTkBAAW/rWILh2uFeoxSpsY8r/xiiLsr3+sfC/6qn2+6Ovleof9a2cQFx0BwKFNc0EkonnnIZ8957eAhpaYniNn0bLrCLzcHMhIT/3ALlMq+z0jPY17Vw4T+UGW0WPn27Rq1oAy5a1IS00hNTWZ9NRkOVuHph0HKfigCgh8yxibWeDv5QJAcNDLYl5NyaBIRV9DkzLMXnuW1wGeuDhcwPXuBdlFaVJCLKOH9vmseUUiEWoaWtlm8f+axqemJMpFBaWlJhMTFVkiLvYFBAQEBARKGllZWVy1v8+bsHDKlTWjYvmyWJiXKZDQ8zI4hI6du8kVyQEwNbdi5PTVVKiac0bPp6hWuynTlh3Bx+MB5pWsCfTxwP70LjlRGbJ9e0eO+5E5P09CRUUZuyat8PVyA0BdUxsjE1OMTExJiI8l0NdTbl/7Syeof+lEnuvILrZWH99nD0lLSZK1fyz4Vq7RkJbdR1K7cQeUVYQCXAUlMjQ4fwNFIvigVsTzJw/p0j7n6LWj+7ayetVyli1fSf+eHXIc87V55PaMeb//xY1LJ3LNVmvcqjN7t6+RbSckJrFr/zFu3brNc69nBAc8Jy01WWG/Ju0HUK9FNwB6jJhBgLcrD2+dxu3eZRLjonI8VmTYKyI/EoffEeTnRZCfFxdPZVurqKioUaGyNTa16lC/Xj2aNGxAYztbQQgW+CY4fuKU7Hc9o9I06TCgGFdT9GiJ9WjZbQRXj20G4OG96zg8cFWIAP0qx9Z6b6uUnBhHanJigT2Ub5zaycldixTaj2yej4GxGTUatP7idZZ09I1NP/m+bdNzDA6XDnLp8HqS4mOA7Aejb4J8cxyvqqZOl0E/FfpaBQSKkw8fYoS8Ciy+hZQgilT0hWyB1tyyBuaWNeg5YiaHNs3l/tUjnz2froEJ5SpZU6pMBaRSKZkZ6WRmpPPiqVMhrlpAQEBAQKBkk5iUwpuQcDQ01DEy1M+3f21A0BvWbdrJsUP7cvShFesZYmhUmhq2ddm3axPGH0XNfsjkabPkBF+RkhLt+06k29BpXxThA9lCamJcFMe2LyQmUt4XUEffiNnz/mTmlPGoqWWLrFNn/ykTfAHSUpIICfYnJLhgqV5GpubUsmtHrUbtsLKxQ0VVjcT4GG6d28Otc3tISZT3Wx0xfTWN2/X7zLMUAOg7dh47lkwiOkLR0uNDmncZSumylbh+Ypss+isvAnyeMKBXR1as38XMKWMLa7mf5MEjD+Yv+JPbV0/LFTTOiblzZpOcnIq9gxO79+7n2oWTpCQpevoq8IE/tEgkwtK6PpbW9Rn04yLC3wTg7/kIfy8X/D1diAgpeORLZmY6ft7u+Hm7c/boHiBbCK5RtzFz584tNiFdQCA/xES/f/BRuUbDL/4++taQZGWRnBAr13b52s0iEX07tG3JAtk6MvF95kxNu7b53t/V4UKOgi9ke/fvWvoj01cco7yV4EmroqpGm56jadS2D1ePbeHm2T15Zix1HjwFfWPTIlyhgMDXx+SDYm5RkSEkJ6d+UY2vC1fvcOjocZo3a8akMYMKY4lFTpGLvh+ipKzM0CnL0BLrcf3k9s+aIz4mEi/XO3i53slznGm5iog1VQkPC/2s4wgICAgICBQ1sXEJBL0O5dXrUN6EhhEaGkZoWDgREeG8jYwg6m0kMVERxEW/JeXftM13qKiooaEtRltbFy2xGG2xLmKxLmJdXXR0dNDV0cXf35cHt6/k6If7jsS4aBLjogkO8ObXsuXYuXFZrmO1tbXltqUSCRqa2iirqH3R6xAXHc4/62bh6XJbrl2kpETvQWPYvHYZpqWM3o9PSGTvjo2fnFdb5//s3XdYFFcXwOHfLr2DggJSRERRsGHHhoq9915i19ijsSW2GL8YTaLR2Hvvvffee1dUiqIovffl+4Mwsu5iXUDifZ/HJzszd+7cMbDunrn3HHOqN+zM/euneP40feavTCbDydWD0pW9KVXZGxsHF5WCa8amFjTrOhLv1n05vXcNR3csJS46gqbdRoqArwY4FivN1GWnuHH2ACd2L+fZg+sqbfJb21On+XdY2xelesNOHN2+hCNbF6rMgjXLV4DU1FSl2a779+/LsaDvqo076dW1ncrvmFxLm6rebTHLX5D96+cA6T/PgwcP4rnv4/f+TmYwMrXAwtIGtwq1KefZUG0bmUyGtZ0z1nbOVGuQ/mUlKjz43wDwFcJDgtA3NMbQ2BQDI1MMjEyQy7UI9H2Iv89tAv0eZpk7OCUliZuXT9G+5SncPTyZPGkybZrX+5S/HkHIEXFxMdLrT51lmtclJSawYuZQbp4/JO3T1talZTP17xmaVrGcGxb5CxIe+hqARzfPfXTQ9+m9K6z8Y6S0raWtw09TZ5Kamsq0n38A0lfzzv25B8Omr8POqYTmbyAPMjQ2o1WvcdRs0o1rp/eSEB+TviJa3+DfldGGWNo44OjycbUVBCEvKVjIWXqdplCw++AJOrZu9Mn9PHkWwMChozi6bwsAG1b8w9lz51izZE6eqR+RIVeDvpD+YbR17/F4NujAr983+uzcvVmxcyrOyFFjGNyvG9U8PUXQVxAEQfjqrd60i4kTxuP/9P5n95GSkiQFbDXF99lTDhw7S2hIGCFhYQSHhPLi+QtevHjOq5cv8H/6QOWc3atnoatnQN1WfT7rmjfPH2Lt32OkpYoZSpSpzPx/5uFVrYLyGANe0qR5a6XCa617j0ffwJiI0CAiQl+TlBiPi3tlqtRtg66+AY07D+Pa6T1oaWtTwqMmJmb5+RgGhiY0aD+I+u0GkpQYj56+4Wfdo6BKS0ubCrWaUaFWM6LCg3lw/QzPn93DwtKGYqWrUsiphPShW0/fkCadh1G9YSce3jyLlpYOBe2csLIpjL6hMU/uXeGP0W+D8d7e3iQkJrFx2/4PjiM1NVUpNZhvwEt27DnE8+cv6NmtA2Xc3l+Yb8OGzSoB3BLlatBl6G/kL2jHC98HUtA3TaHA/4n63/mCds4UdatIISdXCjmVoFBhV4xMsp51/z6mFlaUq9aIctU+/CUoOTmRl76P8PO5RYDPbQKe3OWlv2pQ+u7187RtUZ9S5asxefJkWjf1/qyxCUJ2iI97m44nKOAJl45vx8LSBgsrW8wtrT8pz3xeEhMVzsKpfaT8lgAGRqasWreFyuVzZmasXC6ngqcXR/ZsAuDmhUPYObth61gMG8diWf7dvwn0ZcEvfZViA7/9uZBRQ3oB4Ovrx7rl6Q93YyJDmT2uE8N+XYe9s1s231Hekb+gHfXbDcjtYQhCjrJ3dsPUwkqqAbF+w6ZPCvrGxSUwbvIMFs39XWUiwfrl8wgJCWHPltXSysK8INeDvhms7ZwxMjFTWZ6nq6ePs2sZnIoUxc7OHkdHB5wKO2JmYsy9hz48ePiQJ08e8/plINo6Oujo6qKrq4upqTltWremX8/2Io+vIAiCkCfce/SUfgOHcv7Eh4NRmiSTyXAtV4PqDTtSvEx1YqPCiAwPJirsDWvnjCEhPn2W1LH9Wzn2gby36jx/9unB64T4WLYunqqSAsrUwooJk6YzakgvlSfth0+ep2O7NoSHBEn7nFzL4d26n8ps3cx09fSpWq/dJ48xg0wmEwHfbGRqYUXluq2pXPf9tR/M8hWgch3VNu/+vz948ACzfptKZNgbjI3Vz/qLT0hk4PAJrF42D0MjUwoXdeX1yxc8930otVm1bD4hrwPfO+OjZ49uHNm7WaqUDuD78AaKf3P62joWV/pykpm+gTEVajWjav32OBUv996f4eyio6OHY7HSOBZ7OyMsOSmBQN+H3L92imM7lxEXEykdu3PtHG2a1aN0hepMmTyJlk1E8FfIfZmDvk/uXVYqAKqtrUuD9oNo2nVEbgwt26QkJzF7XCcCfd8+jLWwtGbP3v1Uq1wuR8dSt24dKegb+voFq/6dvWtsmo9Og3/Fo3pjqW1sdCRXT+3i8JaFSg97BwyfIAV8AVYt/ovgkGAO707/jBAbFc7scZ0YOm2t0vuVIAjZw+fuZYICfDAxz49pvgLI5VqkJCcRGx1BXHQECfExOBYrQxFXjxwdl1xLi7KeDTi9L70mwYkje0hKSv5gkFahULBy/Q7Gjx3F60C/LNsd3r2Rtl302L1lpQZHnb2+mqAvgKW1g1LQt3XnPri5ueFa3IXObZqotG9cX32xDkEQBEHIS+LiEvjx5+ks+WemUlXld+kZGGFqbomJuSWmFpaYmFulb1tYYmpuibFZfhSpKcTHRpMQH0NCXHT667gY4mOjiY/79/W//5XJZLhXrEO1Bh2wtH6bA8vIxIwChZwAWDPnxy+6N3tnN+q16f9J5/g+vMGKWcOVqlAD1Krfko1rliqlcsgwY85ifho9VGlWkLV9UXqPmZsrwTLh65Hxs5zh7LG9gGowOLOY6CgWzpkOQFxMFCGvVfMLx8VEERsXj4mxkcqxDB1bN+LE96NZnCktSkJ8DIG+D7CycUAul9Nl6G/sXjUTPQND7Iq4Ye/shr2zO7aFs54Fl5t0dPUpXLwshYuXpXbLXpzcvZKj25coBX9vXz1Lq6b1cCrmTuWqNalTx4tmDeuo/d0VhOxW0MYuy2JWKSlJ7Fs/mzJV6/+nZon6Pb6lFPAFaNisDeXL5vw9dmzdjIljhpOUGK+0PyYqjCXTB9K401CKulfm/OFN3Dx/SGXlb6NWXfjnj6lK+7S0tNi/fS0t2mtLBSfjYiKZM6ELQ35ZjZNrzga2BeFbcnT7YrYt/fWD7WRyOaNmbqVIiezPH55Z+RpNpaBvTGQYpct70qlrdwb06kJBq3xKbZNTUjh78Qajx4zj2vljKn1Vqt2SCrWas/qv0VKqsL3bVnPy3GCV1YZfq68q6Gtb2FVp+cn29UvJqLWasnEn3Tu0yJ2BCYIgCEI2WbdlD6N/GM6r58+U9hsam9GkywgKFy+DqbklpuZW6Op/XHE2TXIr78X1s/vUHjMwNsU8vzX5rGzJZ1UIiwK25LOyxcIq/b/m+a3R1vm4fL5paWlEhr3h3KGN7F8/R2lmpIGhCVN/m83I73uqnVU5cMRPLJyt/OGzdJV69Bz1FwaGJp9wt8J/kbFpPqztnQl6/mlF/D5k0PBx7w34PnkWwIQp/2Pz6oVK+x1dSuNWoZa0XbqyN6Ur580ZsQaGJjTqOASvZj04sWsFR3cuVSpu6Pv4Lr6P77Jx1XxkMhkFbBzR0dNDS0sLLS1ttLS0kWtpoaenh4mpGebmFpibW1CjRjX69+yQi3cm/JesXrmEMeMn88TnEcFBLwgPfU3av7PtMxzc9A99x8/PpRFqnq1jMaxsHAl+5S/t27DiH86fPsH8+QtydPKUo70Nazft5O+5c3n6+D5BgX5Kf//7N/yd5bkeVWqzfcNytf/2a2lpsWvzStp00ZEKTMbHRvH3hK4MnroSZ7eKmr8ZQfjGndq35qMCvpCetiokKCDHg75F3SopraJ6dPcqk8deZdrPo6nm1ZByHuV58OABPo/u8cLvsdoJN/ZF3enQf7L0PvLD75uZPqQxyUmJpKWlMerHsVw9dzRH7+tzyT5URfizO5bJ3IC7Gds/LziCraP6vGdJiQno6OoR/MqfuT91IyQoQKXNiLG/8Of/fvqiMVWqVImHDx+q7Hd1deXy5ctqzhAEQfgylpaWJCUlqezX1dUlJCREzRnCt+Khjy/9Bg3jzNE9Ksc863eg1XdjMTbLp+bMnJWSnMSzh9dJTU7G0NgMQxMzDI3NMDA0Qf6Z6ZMUqancvHCIgCd3CX7py5uXfgS/9FPJnQVQsmwVNq5fQ6kSRdX2FZ+QiLGRkVKQuHHnYTTpPDzPFVoQsk/Akzsc2baY6H9zPZvlK4hrWU92LJ2qtr1CoSA2Nn1JuL6BsZTiJEPTNt3YtXmlys9YQmISqzfuZPmy5Vw5d1Tp5xLA3tkdhSIVXT198lkVoop3G9wr1tHUbea6+Ngoju9awbEdS4mPjfrwCe/x66z5jP9hoIZGJuQFdnZ2REWp/tzIZDIiIyPVnPF5kpKSeeb/glFjJ0qzRGUyGRMXHsXaXv2/NXlRTGQY25dP58KRLUr7ZTIZM2YvybGClu+Kjoll3uI1TBo3nOQk9fV8ipeqSLfuPRk9tO9HLctu330A29YtkfbpG5owcsam/9TsbUHIbReObmX1nz+oPWZhaUN4iHL9LPui7oyetQ0dXX2V9lHhwUwbUFttX9UadaFFz3FfNNZLx7ezdvYYUlJUv4e/j7FpPlr0/BHPeu1VvufsWP4/Dm99+yB/046DtG/Z4LPHeO/ePdzd3TPvck9LS7v32R1mIdeCvpFhr7lycjeXjm/nxbP7OJesQN/xCzA0NuXErpXsWPE/pf6WrdlKr65tvmhMIugrCEJOE0Ff4V3xCYmMnfQbC+fMUFnqaO/sRsfvp+V4/quctm7uOM4eWP/eNnItbQYOH89fv/2MjnbWC5OSkpLR19cj8+cZY7P8OBR1p0S5Gng16/HRs42Fb0vwSz9mjmiq9pi2ji7ebQdTo0kXdHT0OLx1ITuWp3821dM3JDw8DAP99NQLkdExbN5xgJ07d3H2xCGlIoLvMjG3lALPGWo07kq7/hO/ylQOnysuJpLrZ/fjc+ciPncuqXwR/Bgm5vl54uNDAUuLbBih8DXKqaBvhsdP/XFzLSYFBSrUak7vMXM1fp3c5nPnEuvnjSfo+RNpn7aOHvsOHad+bc9cG9fRUxfp0K41YcHp7w+mFlY0b92JwQP7fHKhOYVCQZdeQ9i46u1sbRNzS0bN3KqS4kcQhE/n9/gWv49sKc3Sl8u1+GfJWjq1a8qN2w+pXV11Zr2RiTmGJubIZHLkcjmuZavRtt9EtLS0sz3oC+kPvq6e3s3FY9vxf3zrvW21tHWo2bgrTbqMwMjETDr/2tl9XDm5i6AAHzxqNOXq6d3SiiaXkuV4eOfqZ08yuXzlCpUrVcq8K1uCvjme3iEqPJj18yZw+9IRpWUdT+9f5Y8f2zHs13XUbzcAQxMz1v09Vjpeq1rlnB6qIAiCIGjU5h0HGTF8CC8DnijtNzAypXn3UdRs3PWzZ8/mJRePbnvvcYciJViybCn1vT78ZVRXV4eChQoT9MJX2hcTGcr9a6e4f+0UsdERtOgx+ovHLHxb9PSNqNOyF/Fx0ZzYuYIj2xZJx1xLlcdAX4+4uARad+rF8YPbs5yt9q53A74AZ/avxdjUgubdR2ls/LnN0NiM6g07Ub1hJ9LS0gh9/Ryfu5cJfxNIqiIVRWoKitRUUv/9b1JiPPGxUUSFh0hFtqIjQhk5ZhJrl2W99FsQvkQxZ0catezEnq2rALh6ajfVGnTEtWw10tLSiAoPJviVP8lJidg7u2FsmjcfQLiUqsyEeQc4vHUhe9b8AUBKciKdOrTl+rVrONrb5Mq4vGtV4c7tWyxesR5HB3s6tW2Kvt7nPaSVy+WsWz6XlNQUtq5dDKS/3/79U1dGzdqOef6Cmhy6IHxzTu5ZJcXvZDIZM/9ewoBeHQGYPmOW2nNioyOIjY6QtoOeP8GlVGU8qqvW68oOxmb58GrWE69mPXkV4MOl4zu4fmYvcTGRWNsXxbawK4UKF8e2sCt2Tq4YGJkCkJgQx+aFk7l4bBuK1BSpvzP719Ko4xAObEx/OOhz/wbzl21gcN8unzW+i1feH4jWlBwN+iYnJzJ/Su8so+zBL/34Y3Rb2vWfxL2rJ6X9BW0L4+xkl0OjFARBEATNevIsgL6DhnPy0A6VY1W929Gy11hMzS1zYWQ5KyU5iZ0rZ6gUaWnffQAuLi6UKO5CKTdX3F2dP+mp+YxZfzF65DDevPRXORbop7rCRxA+xr2rJ1kxa7hSBXmAqp41ABgxdgqHdm/46P5MzS2JjY4gNdMXiAzqUpv9V8hkMiytHZSKRWYlLS2Nvyd05eHNswBsXL2Qtq2b07JJ3sx5LHz9Zv02hcP7tpIYn57OZcXMYZhaWBH8yl/al8HavihF3Sri7FYR55IVsbS2zzOFQrV1dGncaSipqSnsXz8HgLDgVzRr1Y6bl0/nWjokW2srJo8bppG+5HI5G1fOp0FYGMf2bwUg9PUL5v7UjZG/b8bIxFwj1xGEb01SYgK3zh+Stlt37sPI77+Ttu/c+PhV8+pSPeQEGwcXWvb8kZY9VQtUh75+wd51s3n94imx0ZEEPLmjFOzNrFLtllw4soWI0CAAJowZQZMGtXFysP3kMV2+euOTz/kcORr03bJoqlLAVyaTUap8NVJSUrh/8yIA4SGvWPzrAKXzyleulpPDFARBEASNSEpKZuKvfzFn1i8kxCnnBC3kVIKOg36h6DdSaCToxVOW/z6U50/uKu2/evMe5cuU/KK+u3doQfcOLfANeMnp85cZM2oErwP9ADD5CvIiC3lPfFw08yb2UNnv5OJOwYIFqN2wNWePKRc4zFfAjtJVvCnpUZNF0waQmimPnGPRkoSHvFEb8C1QqMh/apbvl5DJZLTtN5FfBzckTaEgNSWZVk3r0bx9TxbP+0Ol6rYgfKlizo4MG/0zv09NX2EaFR4sFf95V9DzJwQ9f8LZg+kPe0wtrCjqVonyNZtQqrJ3nkjR0qTzcJ4/vcedS+kFiO5cO8fJs1epU7PSB87MG7S0tNi7fR01vSO4cjb9Hl/6P2LJ9IEM/9/HP6QTBOGtu1eOKdU26Nenp9LxH378iWmTxxEZ9oaChQpTqmxFHB0Lo6+vz6EDe3jy4CYAunoGFC/zdcX2gp4/4c8xHdSuxFLHPL81zXuMlnIbR4UH06Z9F66cO4rWJ67WvH7t6ieP93Pk2CM9v0c3OLN/rbTtUKQE9x895daVM1w5dwLP2o2zPNfbu25ODFEQBEEQNObAsbO4lvJgxtQxSgFffUMT2vWfzLi/934zAd+oiBD+/LG9UsBXW0ePSdNnf3HANzMnB1t6dGyJju7bL96mFlYa61/4dqQkq+ZiNzAyJTDgKVPGp8/az1wcZPDUVUxbcZYOA6ZQqlJd3Ct4KZ3r/+S+Sq5fY7P8dBz0CxMXHP6oWbDfikKFi1OnRS+lfbs3r6S4awn+XrQaRab0cIKgCb9MGIlTMfcPN3xHVHgw18/uY8n0QYzrWolNCyfx/KnG0zFqlFwup+cPfyrNUL59734ujkjz9PV0ObJ/B47Obz9fPLp1noiQoFwclSDkXddO75VeWxa0w7tmFaXjo4b0IiL0NWlpaQS98OXI3s0s/ed3mjSuT6D/U6mde8Xa6OrlzkxfdZISE5g/pfdHB3wBZHI5Veq2oazn2wJuNy6dZOS4aZ907S27DvPgds7UFcuxmb7P7l+XXusbGrNzxzZcXdKTqhsa6nPi4E7ade3H7i0rpXYyuRxPr0Z836drTg1TEARBEL7I6+Aw+g8Zxe7NK3m3WGql2i1p3Xs8Zvm+rdxyF45sUfpA5VCkBGvXraVGlewpWBcR9naWlom5CPoKmhEfq1pgCtJnzrm9E+St334gD2+dU1keDmBhZUu1Bh2p07IXBoYm2THUPK91r/GYmFuyb/1skhMTAIgMe8OwAT3YtGkTJw7uRFdXJ5dHKfxX6OrqcGDvHgYNG0VMdBSFizhTtGhRShRzoZS7KzKZjMPHznDm7BluXLnIc1/VtEGx0RGc3L2Sk7tXUrlOa9r1n/TVphPQNzTB0NhMyrXp66uaGimvexUUTFCmlE9WNo6Yiby+gvBZoiNCpdchr1/w869/8evPP7z3nANHz9CmRRPi46KlfZXqtM62MX6Oc4c2EPzST9rOX8CWug2bY25uQSl3N/JZmNOlnXLB36n9vRn95w66DptJwJN7hL15AcC8P36hXl0vmjaopXKd18Fh+Pq/wKagFbY2VqSmKhg5fEi23ltmORb0TUyMk147ubhRrnQJpeO6ujrs2ryCiMi/SUlJRV9fDz09nfdW7BYEQRCEr4VCoeDPf1byy6SxKktDCxQqQqfvp+Fa9uta0pRTrp7aLb12LV2JK+dPYmxkoLH+Hz/xp0PXnvg9eUBifJym+OyWAAAgAElEQVTSB0wzMdNXyCQhLiZ9+XZECC+eZT0jTy6X02/oOM6cOs6DW5dUjlvZOOJRvQnlazbB3ll1hmARVw+mLj3F4a0LObN/HQqFgjJV6+NZvz2uZap9EwUbv4RcS4sG7QbiUb0JG+f/xP1rp6Rj50/sZ/zUWcya9uWVvQUhQ3GXwlIeWHVKl3Rh1JD0GehBb0I5ePQ0J06e5tD+nVI6oQyXjm/nwY0ztPxuLCU9anx1D3oPbJyrVFzp3QfU/wXTfvtL6aGbTCbnwpEtVKjV/KuaaSgIeUGjjkN4OumalOd2+sRRtGzSgIoe6ldIHDh6hsb1airtq1qvHaUrf135+QMyrUA0z1+Ql8/9lB4oJyUl826JtrDgQO5eOY6VjSMly9fk7IENQBoKRSoDB/Sj8dMHSjnS123dS6+u7Uj69wG2TCZDz8BIJe1fdsqxiGrGU3oAAwPDLNuZm4kZD4IgCELecuX6Xfr0H8jtq2eV9mvr6NGo42Dqte2fJ3L9ZYeg50948ezt0tHuPb7TaMAXoEvPPty8dFLtMdN8BTR6LSHvSUtL4/alo+xfP4eAJ3ek/TKZDGNjY7Xn6OjqsWntMiLD3kj78lvbU7FWczyqN8GuSMkPFnAytbCibd+fadFj9L99ikDDp7KycWDw1FVcPbWbzYumEBOZPtto944tIugr5BrrAvnp2bkVPTu3QqH4g90HjrNoyQqOH9xBUmI8kJ76ISPnYz6rQjiV8MDJtRzuFWpT0K5Irow7LS2Ny8d3sG/dX9I+C0trRg0b8J6z8iYDA+XPGW9e+rJm9mi2L59O9QadqNd2AEYmZrk0OkHIW0p41KDvuH9YMn0QCkUqAM1bNKdHrwGMHt6f/BZvf5deBgXTrnVzlT4uHt1KPqtCNO06IsfG/SHa2m8DvA5OLkoB3+SUFJq1665yjkwmY93ccaDmYdkLv8ecOHOFurUqA/DMP5CBfXtKAV9Ifx/OyYAv5GDQV1tXV3r9Jigwpy4rCIIgCNkmOiaWEWOmsGrxHKX8ngAly9ei46BfsLJxzKXRfR2untojvdbW1qVXt/Ya7X/voVNcPXdU7TFre2eKlMieFBLC1y8tLY37106xZ+2fSoWEP0ZiQjyxsW9niRmb5WfMX7swMcv/yeMQwd4vI5PJqOjVgoT4WNbPTQ/0+ty/wc07DylbyjWXRyd86+RyOS2beNOyiTePn/rTtWcfqYBYhrDgQMKCA7l2eg9bF0+lWOkqVGvQiXLVGubY+0Po6+dsnP8zd6+ckPZpa+uybuMWHOysc2QMOWnO71NISkpi64blxMW8Tc0TGxXOoS3zuXB0Cx0GTqFctcYffIAnCAKU9WyIpY0jbwKfARD0wpcZU8ewfs0KDh7cR8li6Q+zrt28p7SSIENaWhr71s/GtnAxPKo3ydGxZ0U7Uw2QpKS33+OSU1Jo2qYbh3dvVDnnQysjlq5YjYuzIzFxcXTv2VcpNca7ZHIt0v4NomenHAv62ju7SQmgX/g9xjfgJU4Otjl1eUEQBEHQqLWbdjNq5DBeZ8oFBWCWvyDt+08SXyRI/2B0JVNqh4rV61LQKp9Gr/HTxInSa30DY1r3Ho+egRFGJuYUK1MVLS2RJupb8yrAh1sXDnP93H6l4oGfy8LKlt5j5n5WwFfQnDJV67Phnwmk/VvIraJHGSrV8KZb12707t5WpIQTcl0xZ0cunjrErLnL+XPmryppHzI8vn2Rx7cvsnmhOYWcXNHR1UdHVx9dPX20dfTQ1dPHwMgUUwtLTMwsMbGwxMbB5bPeg1JTkjm6Y6lSfuwMk6b/SaO61T/nVr96hob6rFr8F3NmTmX2ghWsWLKQgGcPpONR4cEsmT6I0lXqUbv5d9g4uGBqYfXNf24ThLS0NMJDXhEXE0liXAypilQcnN3RNzRG38BIpf1z34d06NSNO9fOAdCgTjVq1WvB6aO71QZI18weg72zO3r6Wa/+zymZV2GGBgeRkJiEvp4uk6bPVgn46huakJApfRyAobGp0kMlgI2r5rNx1XyVa5X1bECtpj2IiQwjJiqMhLgY8hWwZcXM4Rq8I/Vy7NPRqT2rlbZ37z/CsAE9curygiAIgqART54F0GfAUE4d2aW0XyaXU7v5dzTtOkIUZ/pXQly0NCMAoHnzFhrt/9a9x9y6fFrarli7JTUav5t9S/gWREeGcvbgBi4d287rF08/fMIHyGQyKtVuReW6rUUO3q+EqbklxUpX5dHN9C+WKSlJnD+xn/Mn9vPnHzNZt2ZVlvkFBSGnyOVyfhzWhx+H9eGp7wuOnDjLufMXuHHtMo/uXldaFRQbHcHj2xc/rl8tbXqPmYtH9cYfbBsbHcH9a6e4e+U4966dIjYqXOm4iXl+pvw6kxGDvvu0m8uDzM1MmDx2KBN/HMzO/ceZNu1XbmRKB3X74hFuXzwCgKGxGdb2RbFxcMHGwYVSlb0pYFs4dwYuCLnA584lNi2YSKCfcrFKAyNTmnQehqGxqdrzIsPDpNe6ujqcPLyThMQkgkPDCQkJY/vug0z7eSSQ/t1gyfSB9P95cfbdyEcqUMhJeh38KoABQ8eyctGf3L2jPGFgxIxN3Ll8jKPblMfcol03tq1fLqX1yYqFpQ1dh81USSnz0v/xF97Bx8mxoG94yCul7ddvgrNoKQiCIAhfp8m//c2MXyao5GIyy1eA70bPoXgZz1wa2ddJV99Q6cm4f8Bzjfbv6xegtH3hyBZqNOqMvbObRq8jfL38fe5wcs9Krp7aQ0pyosb6NTKx4LvRszXWn6AZHQdOZc3sH3n24JrSfp/716nuWZEZfy1g+MCeuTM4QXiHs5Mdzk4dGdCrIwDPX75mzvzlbFiznJcBTz6pL0VqCtdO780y6BsVHsz5w5u5e+U4zx5el2bEv6tpm24smvcHttbfVpFTuVxO66betGxch9kLVjH5p9Eqy67jYiJ59uCa9P6ybdmvVKzVnEadhmJt55wbwxaEHBETGcb25dO5cGSL2uPxsVFsXfILxqbqV+vFREcwctw0XF2LUb6sO+XLlERfTxd724LY2xakXOkS3L5zm92bVwLw/Ok99q79S21fOamiVwuO7VhC0PP0yQKrl8xm8MDedOvamT1bV0ntHt06j1fTHlw8spWYqLcB7g0r/vngNfQMjOg9Zm6u5hCXZVe1TplM5gaoXVPnUrIcJ44epJBNzhZXqVSpEg8fPlTZ7+rqyuXLl3N0LIIgfBssLS2VcgRl0NXVJSQkJBdGJHyunfuO0qppvSyPy2QymncfTcMO32vsmmlpaUSFB6NvaPxVLIP6HP9M+o67V44DUKZiDW5mmpn7qZKSktl14AQ7d+/h9PHDvPBTfUJet2Vv2vabqOZs4b8kNSWZlX+M5Gqm9CEfQyaT4VyyIuVrNsGuiBuLp6qf6WZkYsGkpWc0MVQhG7x+8YzLJ3dy8chWwoLf1goxMjEjKiJMqXK2kHfY2dkRFRWlsl8mkxEZGZkLI8oeCoWC3QeOs33XXiIjI0lISCAxPp6EhAQSEuNJiI8nOjKcyPBgYqPf3nedlr1pp+bft9joCKYO8CYqPOtJVQ5FSjDvn/k0a+iVHbeU5wS+esOAIaM4sm8biQlx0n5dXV0cHByU2mpp6dBp8DSKuIoaAVmJT5GhSBOpMfKa1JRkTu1dw971fxEfo/remxU9AyMS42OzPF6lZkP27tyoVOAtJjae0h6V8H2cHiJ8XzHdao260KJnzhRrffHsPv8b2lQqUPfL7/P4afT3uJauxKM7V6R2Xs16YGntwKNb57lz+ZhKP07Fy1GtQUdMLazQ0dNHV98AXT0DrGwcVb7Dpaam8Oz+NS4e3cr5I5szH3JPS0u7p+l7zLGZvnUbt6Zp02Y09K6Fq4vTh08QBEEQhK9IRGT0e4+npaWxa9XvWNsXpaxnA2l/Qnwsh7cs4Mndy+j8m6fP0MgUUwsrKtVuqbS0KINCoeDk7pWc2ruaNy99MTAyZeTvm7FzKqHx+8puxUpXkYK+929fIS4uAUPDTy9cEx4RRdnyVZRy8r1LW1uXkuVrffZYhbzj+bP7nxTwLeRUAs967fGo3hhzy/SiRcHv5OMWvj7+Pnd4/vQuji6lsXUsRkxUONGRoSTExeDdqg8N2g1i4/yfpNlJsdGRBL0J/eZmMQp5S+bib+8TGR2DhbmZNGvXrkhJte1CXgWoDfgWcnShVt0GtGzejJZN6oi815kUsinAnq2rSU1dwcMnfly9cYfbd+4RERrCmJEDszhLdRKHkO5SgC6xySLom5fcu3qSrUumSrNcM+jpG/L9yPG0a9UMCzNTrt++z9gfRyl9/k6Mj8XKtnCWn6Munj5IlWpeHD96EHvbggAYGxmwbctmPKtWUlkxmZvsipTEPL+19ADZz88fgBIl3ZWCvif3pM/81dM3pFHHIVw/s4/XmVLY+T66ge+jGzi6lKaiVwvK12yGef6C0vHY6AjuXT3JncvHuH/tFHExOfcgM8fe+ef8PhU3N7HcUhAEQcibundswdVrP3P0yEGiIkKJighVmoGTYdUfI3nzcgjOJSugb2DMshmDeRXgo7bPw1sX0HHQNDzrt1faf/fKcbYsniJtx8dGsXvVTAZNXq7Zm8oBxUpVlV4nJyZw+OQ5Wjau+8n9/DV/udqAr0wup4irB24Va+NRrTEF7Yp80XiFvKGgXREMjE3fOzPF2Cw/pSrWoXrjzjgVLycK9OQxgX6PmDG8WZaVso3N8jNh7n4q1W6ltCTVvVRpJk+bweC+XcWMXyFPu33vsVKaBhsHF7XtHFxKUbpKPSk3bYZe/QYxdXz2FwnKy7S0tHAr7oxbcWfo2JLExET8/f1ze1iCkG3eBPqyZfEU7l45oXLMs3Zjli2apzRJs7hLYdxLFsOjjLuURkuupc33k1dw//op/H3uEPzSlzeBfkqpD548uEmVqtU5e+YUTg62AJQrXYIFS1bzff+exMe+fzJNTrKwspGCvju3rueP3ybSo0dX9u/cQNI7BTATE+I4sHFuln35+9zG3+c225dNx6t5T9zK1+LUvjXcuXwsy7Q72U087hMEQRCEjyCXy5n3x1RgqrQvKSmZwKBgVqzdzC8TRgCQEB/DjuX/+6g+k5MSWTN7NE/uXabjwF/Q1TcAQIZqcOrO5WOEh7zCwtLmy28mB9k7uynl9T10+PhnBX3379srvdY3MKZU5bq4V6xDyfK1MDa10Nh4hbzBwNCEQZOWs2b2j0SGBuFYrDTW9i7YOhbDxrHYZ1e6F74ety8dyTLgCxATGYq/z22KulfG0NhMmjUTHhLEsAE9WLZ0CYsW/EOVCqVzasiCoFEOhZT/vX/+5C6Fi5VRaSeTyeg/YRH7N/zN/g1zpN+bxf/MYfLYoeLhhyAIAESGveG3Ec1VHpjbORXn95l/0qmN+pzhKzYfIjU1Wdpu1+9nCtoVUZloERESxPypvXn+JD2Fw8uAJ/w4YQpb1iyS2vTs3IqG3jVZt2k7Uyb8oKlb+yhpaWmcPbCehzfPEhsTSVxMJLFREYS9eSG1CX0TyP7Dp+nUpjG37zxg8469nD13jsO7N2bZr1yuhUwuJzXl7d+RQpHK8Z3LOL5zWZbnGRgaE58Ds55F0FcQBEEQPpOurg5ODrZMHT+cu3fvsmND1v+wFyleGudiJYiJiiQiIpwHty5Jxy4c2UKAzx36jl+AsVl+nj28praPKyd2Ub/dAI3fR3aSa2nh4l5Jyn91/tyn5/QNj4ji1uW3+VUbdvieBu0HaWyMQt5U1K0iU5aozlQR/htio8KVti0sbVQKQxe0d8bIxIxRs7ax4Z+f8LlzUTp2++pZqletwPK1W+jeoUWOjFkQNMnR3gaXkh743L8OwK2Lh6nRuIvatnItLZp2HUG+AoVYM3s0AK9f+nHq/DVqV6+YY2MWBOHr9SbQVynga2RixvAfJzLxxyHo6upkeV54VCIWlrZScLRW0x4APHtwjW1LpxEdGYahkSn6RiYYmyhPxEhJSVHpz7pAfrq0a5atQd+gF0+5ffEIty8d5aX/I7S0dIiJDP3gedo6ehQrWhhIn+X884+DgcF07GnBplULpHYymQxrOyeqVK/NlJ/HYpnPnCUrN7B1yybuXj+f5UNrO6fi1PZuSOuWzShsm59y5cpp4nbff0/ZfgVBEARB+AZsWr2QX0uVYsf2rTy6e12pMEjrzn1Yu2weBvp60r6la7Yy/Ps+UoqIQL+H/G9oE+Ra2sTHql+yfuHoZuq17Z/nlqkXK11FCvo++Mi8vkFvQrl07TY3b9/l9KlTpKS8zaVXusr78yAKgpD3ubhX5tiOpdJ2+koHa8JDgoD0IHDBQumzjGwcXBjx20aunNzFtqXTpPymqSnJzP5rtgj6CnlWw8bNpKDvo5vniY+LxsDQJMv2FWo2Y9OCiSQlxgOwat1GEfQVBAGAwq5lsbCyJTz4JQAW+QsyaezQD+b7PrlnuRTwLV+jKTKZjLS0NNbMHq2SE/hdtWrW0MzgP8JL/8dcOLqF2xeP8iZTvt2PZWpuyT8Ll1G+jGr+9JWLZlOuXFni4xOoXKEcVSuWxdxM+b144pghTBwzhEvX7tC9x3c8vpc+icfEPD/tO/diyKA+lHErJrW/d0/jNdvUEkFfIU9RKBQkJyd/uOF/mI6OjlimJQhfIR1tbSaPG8bkccNISkrmzIXrnL90hZKuxWnTvJ5K+z7d2lK5QllatW7L04e3gPQ8Ubq6uhQtWjTL60QFPcY2i7x+X6tKVWtx6+QmafvY6YvUr11VpZ1CoWD85BmcOnaA6MgwpWMZfycWljY4Ozsj4+PyYomK0oKQN5WqVBdLawdCggKkfRkBXwDXstWVHoDJZDIq1W5Jqcp1WTdnLNfOpKeEeXj3OqmpqWhpaeXc4AVBQzp3aM3cWek5/lNSkji4cR6temVd1V5X3wD3inW4fnYfAIf27kDxz0zx3UEQBHR09GjcaSjr/h4LwAu/x8xZsJpRQ3q99zwn5+L4+aQHKAP90utrvAn0/WDAV1dPn1ZNG7y3jTpP71/lwpEtFLR3xtrOGUNjsw+ec//aKRZM7SvlHf4Qz9qNef0qUPoOVrZSLbZtXkcRx0Jq2+vr6TJmWL+P6rty+VLcvXmR5Wu3kaZIo2uHFhgbGXzUudlBBH2FPCU5OfmbT67v6OiInp7ehxsKgpBrdHV1qFurMnVrVX5vu1IlinL72kW69hkspYZwcHBg3759H7hCHqsg7eBIy3fuKav38oG9OzOwd+cPdPjxD/9ERWlByJvkWlr0/2kRi6b1Vwr8Znjz0lftrEcDQxNqNO4iBX3jY6No3akP3/XsSrMGXiL4K+QplTzccS1diYe3LwNwZPtiPGo0xdGlVJbneNRoIgV9g174cvbiDWp6ls+R8QqC8HWr6t2WQ5vnS/+uzpvzx3uDvivWbefk4Z3StpZWehqIe1dPKrVr27UfcbGxREdHERUViVwmp/+AATjaf3otkgCfO/jcvSptl/VsQJ9x89HSUh++TEpMYN3c8SoBXy1tHcpUqE7tOt7o6ukSHxePIi2Nzu1bUbl8+nvok2cBhIRFUMnDXaMPx3S0tenfs4PG+vsSIugrCIIgCLnI0FCf7euXUvapD7cuf3q+W0EQhP8quyIl+XnBEXYsn87JPauUjj29f5W/xnZk8NRVmJpbKh1zdCmNTC6XKmXv3rKS3VtWYp6/IHUbNmfKz2NwK+6cY/chCJ9LLpezbMkialarRGpKMmkKBWvn/MjY2bvR0lafg9O9Ym109PRJ/rfq/Op1m0TQVxAEAKIiQkiIj5W2w8OCUSgUagOeZy5eZ2Df7tK/pXK5Fm37/QxAbLRy3v2gVy85sm8b+nq6Gh/zzfOH8H14g6Ju6lPVHNoyX6kYW7U6TejQoSOd2jTFMr/5e/suWsSBokUcNDrer41Y5yEIgiAIXwFj46xz9AmCIHyrdPX0add/MmU9VZeIPn9ylz9GtyM2OkJpv76hMVW926m0jwh9zbZ1S6hapTKR0dlfMVsQNMGzUll6Dxolbb94dp89a/5Eocg6zZGenqH02t/fLzuHJwhCHpGSnMSS6QOVCpoNHjFGKeAbHRPLgmUbqN2wNfVq1yAxU4C446BfcC1bnYS4GJWUC2eP7WXIDz9rZJxGJmbI5cqrcgyMTNW2DX4VwOEtC6XtYm7lOXV4F0P6df1gwPdbIYK+giAIgpDL7j9+xq2r53N7GIIgCF8luVxOz1GzKVNVNfD7JvAZ5w9vUtnfddgMhvyyGs/67VW+nEZHhPLkmWrKCEH4Ws2eMQl7J1dp+9CW+cwe25GgF6o5NU/sWkFM1Nu8+J06fh1LjAVByF3blk7D9+ENabtk2SoM6N2VyOgYKdBrZVWAQX06c/LQDqWi1HVb9qZG4y6EBAUwpX9dti75RaX/q1cuaWSc1arXwMrGXtrW1tHD2l796pytS6ZKaR1kMhn//DNPpHF6hwj6CoIgCEIuiomNp3mL1sREhX+4sSAIwjdKT9+Q/j8tok2fn1SOFbRT/TIok8koWb4W3YbP5Pf116jZpKt0TFfPADfXrAtmCsLXxkBfj0VLliDPlNPS5+4lfv2+EQc2ziUlOT3Xf2x0BIe3vZ31VrxURXp2bpXj4xUE4evywveBSpqk+zcv4lDIGnNTE7WB3gyVareide8JADy4foaI0CCVNgA1verw+Kk/ySkpXzTWwwf38TrQT9p2ci2nks83LS2NS8e3c/viEWlfs3Y98K5V5Yuu/V8kcvoKgiAIQi7q1KO/VDlWEARByJpMJsO7dV9KV6nH/WunSE1Jxr6oO8VKvf9Lnpa2DqmZvoTq6OoRFR2bLbkHBSG7NKpbnbWbdjHk+36Evg4EICU5kd2rZ3H11B5Klq/JhaNbiY+Jks6ZPn26RosTCYKQN0WFvfmk9pbWDnjUaIJH9SZKhSNdy1VHW1uXlBTVotJ//z6Jv3+fhLGpBTP+mMegPh8qzJyFtDSlzc6DfwVAoVDw0u8hj+9c4ua5A/jcfTuz2MjEnPmzZ3ze9f7jRNBXEARBEHLJ8rXb2LttjbRt4+CCnr7he84QBEEQCtgWpoBt4U86p4RHTc4d2gikz4bsN/gHdm5cng2jE4Ts06lNYxrWvc+AYWPYsmYRaf8GR176P+Kl/yOlth5VatO6qXduDDPPWbl+B0uXLSMuKoSN61bn9nAEQeNcy1anYYfvuXZmHxGhQVKhx8wsrR0oX6MpHjUaY+/sjkwmU2ljZeNIy+/GqE3vkCEmKpxZM//3+UHfd5zYtYKw4ECePbhOXEyk2jZjfvqFQjYFNHK9/xoR9BUEQRCEXLJt+w7ptYGRKQMnLePNs6u5OCJBEIT/nojQ10SFB2PjUIxXAY8B2LVpBX3yW1Lfuw7161TD3EwU0xTyBgtzUzatWkDP7l0Y0K8fAc8eqLRxdi3DpnUrc3xseY3/81f06DOIU4d3AlC0qEj7Ivw3ybW0aNHjR1r0+JG0tDTiYqKICA0iMjSImKgwbBxcsCvipjbQ+646LXvj73ObKyd3ZdnGoXBRHvr44uriJO1LTU3l4RM/rt28y8WLlz967Kf3r83ymLFZPn4YM5Gffxz80f19a0TQVxAEQRBySVjo2+q5bhW8sLJxxN7OFkjNvUEJgiBkA7ksDQPttA831LBURSp7l07gdaAvRrrKQZ1Th3dw6vAOfpZrYevgTAn30pQvVw6v6lWxK5SzM4Z0dHTEMnzhkzSqW51H928yavw0lvwzk5TkZDxrN2LokCG0aeYtfp7eQ6FQMHvBKiaN/0HUVBC+OTKZDCMTM4xMzChUuPgnnatITeXQlvlcO71X5ZiRiTn5LK1JSkzg1OGdlCi2E3cPT6xtCvHsySNe+PmQlBgvjcHY2Pizxq+trUsxdw+86zVk4rjh5Lcw+/BJ3zAR9BUEQRCEXBIZ+faLRkZ1eS25FiLoKwjCf42BdhqVHVRzAOYEz8XzPql9ako8/v7+2TQa9RwdHdHT08vRawp5n76eLvP+mMq0iaNJVSj+E8GPhz6+LF21kTdvXhMeFkZkZASxMTGkpaWlB7JlMmQyGTIZ6OsbYFWgIDY2thSytcG+kC0O9oUo7FCIQjZWaGlpEReXgN+Ll/gHBPI88BUvAl9y8MA+rpw9qnRdQ2MzqjXomEt3LQhfv7Dglyz/fShP711ROWbnVByPilW5fuUCr1/6SfvvXj/P3c+4lr6hCQlx0UB6Hv5SHp5UqlyV2l41aeRdHRNjo8+8i2+PCPoKgiAIQi6JzhT0NTIxz8WRCIIgCIKQV/1X0pMsWb2Fwf16SLMBv4SWtg56+gbEZSpsl5Vy1RrRYeBUbAtaAl/+cKpbt25cvvx2+bqNjQ2HDx9GV/fDxSNnzZrFkiVLAGjVqhW//fbbR1+3ffv23Lr1tjjw3LlzqV+//ieMXBDUi4kMY8bw5kSFB6s9/sL3ES98H6k9po6+YdazfC0sbQj+t1glQI++w1gyTxRp+1wi6CsIgiAIuUChUBARHiJti6CvIAiCIAjfIoVCwbgpM5n5yzipON2XSk1JJi4m+b1tTMwt6ThoKh7Vm2SMRCPXfterV6/YuHEj3bt3z5b+AXx9fZUCvgA7duwQQV9BIx7fuZhlwFcdR5fSlPFswP2rp0hNTSEuJhJTC0sq12mDe0UvQMavA+uoPTc85BWpKW9/dwf26/llg//GiaCvIAiCIOSCy9fvEhMZJm1bfWIlekEQBEEQhLxMoVBw5OQF/pg9lyN7NikdK1TYFSNTcwyNzTAwNAUZkAYPbpwhIjTos6+pb2CMqYUVJcvXpEmXERibWkjH3rzyBwebz+77fRYvXky7du0wMDDIlv537typsu/06dOEhYWRL1++bLmm8O0o6l4JGwcXXgX4KO23sLLFo3pjosKDCX39gtSUZMpUrU/9tgPQ0tahUYfBLP3f9/g+vLOm2JUAACAASURBVM7rF0/xuXMJtwpelPVs+FHXrVW/JR6lS2THLX0zRNBXEARBEHLB1p37pNda2joUK1UlF0cjCIIgCIKQM85fucXSFWvZv3srrwP9VI6X8KhJOc+GxMVESn+Sk5Mo6laJK6d2ffR1bByL4d26HwVsC2NqYYWphRX6BupzgSpSU9mz+g+aVZ71ubf1XsHBwaxdu5a+fftqvG+FQsGuXW//XvT09EhMTCQlJYU9e/bQo0cPjV9T+LaYmlsyds5ebl04xMVj2wgPeUWVum3watYTXT39956bmqo84/7e1ZPcv3Yqy0Ju2tq61Kzfkk4d2tO9YwuN3cO3SgR9BUEQBCEXHDtySHrtXLKClNsqIvQ1OFhkdZogCIIgCEKeFBIaQdNWHbl05tB72z24fpoH10+r7L90bBtm+QqQEBdLYkLsB6/3yv8xMZGheNZr9952iQlxbFowkWC/Bx/s81OVKVNGSruwdOlSOnXqlGWw63NdunSJV69eAWBsbEzfvn3566+/gPQZwCLoK2iCrp4+Fb1aUNFLfSA2NjqSVwGPCX7lj6GxGQXtimBl7UDxMtW4ef79v/OZ9evXlz///ENTw/7miaCvIAiCIOSwiMho7l6/IG27lfeSXj++c4EG5RrnwqgEQRAEQRCyh//zV9T2boDv4ztf1E9k2BsAbBxcSE5KICTo+Xvbh4e8eu/x50/vsvz3oQQ9f0rRokW/aGzqtGjRgqioKHx9fYmIiGDlypUMHjxYo9fYsWOH9LpBgwa0adOGv//+m9TUVO7fv8+jR48oXry4Rq8pCJFhrzmxayX+Prd5FfBY+t3MTK6ljYnZp6UX0dbW0tQQBUCe2wMQhNzSrVs3ihcvLv3x8vIiKenjqrXOmjVLOm/s2LFq29SpU0dqs337dk0OXRCEPG7nvqOkpLx9v3Gr4CW9fvPS74v779ixo/T+8/vvv3/UOQsWLFB6T1yxYsVHnTdp0iTpnG7duikde/d99t0/5cqVo06dOgwcOJA1a9YQHR39yfcqCIIgCMLX7c6DJ1Su6vlJAV8DQxMsC9pR2MWNUuWrUbBQYaXjrwJ8qFS7NZMWH6fL0N+oVLsVFla2Sm309A2pWKt5lte4dfEIM0a0JOj500+6n08hl8sZMmSItL1ixQoiIiI01n9sbCxHjhyRtlu0aIGVlRWenp7SPnX5fgXhS62YNYJDW+bz8OZZtQFfAEVqisqx+s07cuLM+ZwYooAI+gqCJKOqqiAIQnYKfPWGqVMmSdtm+QtiW/jt7AsDQ5MvvkbFihWl11evXv2oc95td+XKlU8+L/N1P0ZcXByBgYEcP36cadOm4eXlJb6YCIIgCMJ/yLlLN6hZo7ra3L3vKlfZi7mL1xIbG09cbBTBQc/xfXyXnds2UcjeSaW9Wb4CWNs5U71hJ74bPZvpqy7w68rzjJm9m5/mH+b39dcpUqJ8ltfbt+4vUlOSszyuKY0bN6ZYsWIAxMTEsHTpUo31fejQIeLi4gCwtbWlUqVKQHrwN8OePXtITU3V2DUFASA0i1n2cvn7Z+oqUlMp7lw4G0YkqCPSOwhCJtldVVUQhG/bM/9AvGp789z3obTPo1pjZDKZtG1inv+Lr1OhQgUWL14MwL1794iLi8PQ0DDL9qmpqdy4cUNp37Vr10hLS1Ma27vCw8N5+vTt7Jj3BX1LlSpF6dKlpe20tDSioqK4e/cufn5+QPoXoTFjxpCQkEDHjh3fe4+CIAiCIHzd9hw8Scd2LYiLicqyjVm+ArRs35URg/tTxq2YyvGQ0AiqelbjzUt/aZ9MJqNe2wFUb9RZpX2+AoXIV6DQB8eWmprC86f3PvJOvoxMJmPYsGF8//33AKxdu5aePXtiaWn5xX1nTu3QrFkz6XNbvXr1MDIyIjY2luDgYM6ePUutWrW++HqCkCG/tT0hQQFA+qz6xq06MWRQf6pVKktIWATXb93n9t37PHz0iCc+j3nu9xRT83z8b9qkD/QsaJII+gpCJtlZVVUQhG/bIx8/atety6vnz6R9ji6ladp1hFI7U/Mv/wJQvnx5tLS0SE1NJSUlhZs3byot83vXvXv3iI1NL4hiY2PDq1eviIiIwMfHR5qZok5GYBhAR0eHsmXLZtm2Vq1aSssbMzt69Cjjxo0jKir9S+Gvv/6Kl5cX1tbWH7xXQRAEQRC+PguXb2TYoO9ISkxQOSaTyfCoWoe+ffvSo1Mr9PV0s+zn4tVbSgFfC0sbeo76i2Klq37R+E7sWv5F538qb29vSpUqxZ07d4iPj2fRokVMmDDhi/oMDAxUWpnVvPnbVBb6+vo0aNBASjO4c+dOEfQVNMrKxpFHN88B6cUQd2xYxp4tayjm7kFVzxq0adWM8T8MVHtuUFBQTg71mybSO+Si5JQUHvr4Eh3z4cqjQvYqU6aM9Hrp0qXExMTk4mgEQfivuXXvMTVq1lQK+DqXrMCw6eswNDZTamtoYv7F1zM2NsbV1VXa/lCqhswpGnr16vXR52U+7u7u/tmrJLy9vZk5c6a0nZSUxPr16z+rL0EQBEEQck9qaiq9Bo1mYO9OagO+xmb52LLzEFfPHaV/zw7vDfgCeJQpiUz+Nmzh3ab/Fwd8AeJjc76OwLBhw6TXGzdu/OLA165du6SH725ubiqF6DIHgY8dOyY9XBcETShRrobKvpSUJO7fvMiy+TNpXK8m9Zq253VwWC6MTsgggr45IOhNKGs37Wb6HwsYNPJnGrfuikvJcujq6FCiWBEcCjtz//GzD3f0lQgNj2TzjoMcPXXxP5MbqEWLFjg5peeJyqiqKgiCoAlXrt+ltlctgjPlvSpethpDpq3BwMhUpX1sVLhGrvspeX0zgreGhoZKKW4+9rx3r/c5vLy8KFGihLR9/rwo8CAIgiAIecmbkHA8vRqxYsEstccdnUty/sIl2jSv99F92lpb4Vrq7WeMe1dPfPb4IsPeEB+bHvj0rN8Bbe33B5w1rUaNGlSoUAFIf8A9f/78L+pv165d0uvMAd4MVapUwcbGBoDExEQOHDjwRdcThMzKVWtEn3HzKVetEUamFmrbHN23hZJu7mzYtj+HRydkEEHfTBQKBckpKRrr76nvCzr2HISjgx3dOrZgwqhBLPhrGgd2rOPJg5tSu4jQ1yxd8XXPaFIoFGzfc5SGLTpTyNaWDq0bUc+rKvksranfvCMjxv5C3yFj6dTze1p16s2chatye8ifJLurqgqC8G165h+It3cdwkPezuRwr1iH7ycvR09ffY7dqPAQjVw7cxD21q1bJCUlqW2XlpbG9evXgfRVDwYGBpQqVQp4f9A3JiaGhw/f5ibO+BLzJTKnh3j+XH1xCEEQBEEQvj6Xrt2hoFU+Lp89ovZ4tTpNuHH1AqVKFFV7/H286zWUXj+6dZ4FU3qTmBDHzfOHiIr4uM9NhzbPZ1z3ykz4rhqBvg/JX9COHj/8SaHCrlhY2WKWr4BGVlt9yPDhw6XX27dv/+zPO9evX5dqImhpadG0aVOVNjKZjGbNmknbmfP/CsKXkslklK/RhH4TFvL7+uv89M8h2vWfTFnPBugZGEntwoJf0aVdU2bMXpyLo/12iZy+gK9fAE7F3HkdGEBCQixtO/dl85qFH32+QqFg/5EzzJn7D/fv3CAuNpr42GgSE+KycdTZzzfgJYePn+HMmXMcPbiH1y/9VNpERYRwZM8mjuxR3r9z43IsLMzp3qGFyjlfq8aNG7Nw4UIeP34sVVUdNWpUbg9LEIQ8bMxPU4kKD5a2y1VrRK8f/0ZbJ+uZJZFhrzVy7fLlyyOTyUhLSyMxMZHbt2+rDcw+fvxYesiVcbxChQpcvnyZN2/e4O/vj6Ojo8p5N27ckFZ7aGlpUb581tWxP5aZ2dtUFxk5hgVBEARB+Lolp6TQunXrLI/3GzKW+X9NQ0tL67P679C2BXNnTQEgNSWZ25eOMrx1+uqgEh41afXdWKwdiqKjo0daWhopyYloaekg//d6Zw6sZ+fKGQDEx0Rx+eROWjmNpUKtZlSo9TYoaqSjANQ/JNeUihUrUq1aNc6dO0dycjLz5s1jxowZn9zPzp07pdeenp5ZFoVr0aKFVNz3xo0b+Pn5Ubhw4c8auyBkRS6XU8jJlUJOrtRp8R0RIUGsnj2aB9dPA+mTTMaNHIC2tg4/DP4ul0f7bREzfYG42Gj8fO4RHxdNmkLBlrWLGDxqEkdPXSQiMutcPwqFgr8Xraa4e3maNfTi6L4tvAx4QkTo608K+Dq7lmFAn26auBWN2Lb7CPZFXCniWIgB33Vk3fK5agO+H7J69VrNDy4bZVRVzbB27VpCQjQz404QhP+zd9dhUWV9AMe/M0M3SEkJKIod2N3d3aurrh2v7druWmu76tqxrt2JiboqJhZ2YyAhCEjHzPsHy8A4gICEcT7Ps88799xzzj3jwzswv3vu7/fjefHKlwM7k596KF6+Nn3GL0s34AuJ1aSzg6mpKS4uLsrjtHbtpmxPCtymDOCmldc35biiRYtiYGDwResFCA0NVb7OjvkEQRAEQch5UomEAN9Xau06egYsX7OFVUtnZzngC1ClQmkcnIumeu7BjX+ZNbQpI9oUZWhLFwY1c2RY6yKM6VKWmxfduX35JNuWqxZMCw54m+W1ZIeUu30PHjzIs2fPMjX+01QNrVqlvdGqUKFCFC9eXHmcMlgsCDnFxNyaob/9TYf+05BIJEBi4HfM8L7f3FPh3zqx0zcNyxfMYPmCGQCYW9lRoGAROnXqwqghvZH+l0h+0u8LmT11zGfnymdlR5D/G7X2URNn0bZVUyq7lVTOmdcuXb9Nt06t0wxa6xuZUrF2ayrVa0fkxxDuXT/Dw1sXiQwPRVtXn5ioCD68fwfAlYsexMXHo6nx7fyY5URVVUEQfjy+foG0aN2euNgYZVub3hOQyT7/eWhtn/nHHtNSvnx5Hj9+DCQGbwcMGKDWJymoq6mpqUyvUKZMGWQyGQkJCVy/fp327dunOQ6+PJ9vkqQ0EwB2dnbZMqcgCN+fHj16cPXq1SyNbdOmDXPmzFFpGz9+fLqPPevq6mJsbIyLiwsVK1akbdu2ae6qE4QfkUwmY/6fq1m9aiWBfm9p3rojVapUomWTelhZmH3x/FKplL79BzFl3NA0+8jlCcjlyfVmIsNDObJlMQHvXqKQy1X6Prx5gatn9lO+Vss8+R5eqlQp6tati4eHR+JGsqVLWbJkSYbHpyzKpqenR/369dPt36pVK+7duwckBpmHDx+uDMQJQk6RSCTUbdUbHV19Ni9OjJsp5HJGDu5DVOSfeby6H8e3E43LQVKZBvVa9+H0/nWpnn/v/4b3/m/w8jyNh4cHR/ZuRiqVcv7fcyr9dPWNqFinNebWDujqG6KjZ4hDoZJY5Hfg6NYlHPpnobKvRCpl9rQxX0VA9H1QCFe97uB16w4rly9WC/iaWdjiXMyNstWaULJSPTQ1tZXnipZTrdh4y/MYq37vD0B4aDB+AUHY21jl/JvIRsOHD6dv375AYlXVPn36YG1tncerEgThW3HL+yHNmjfH91Xyro3SVRph6+SaofF2TqnvZMmKChUqsHVrYs74pHQMn+60SdqxW6xYMWUBNwMDA1xdXbl3716qO31jYmLw9vZWuc6XOnv2LI8ePVIeV6ny5ZW5BUEQskNUVBRRUVH4+flx/vx5li5dyogRI+jTp48InAjCf4YP+InhA37KsflHDOrNHzOnEJ6Jgrd+r5+m+gRVeFgwG+YN5+bFo/Sb8JcyDURuGj58OGfOnEGhUHD8+HEePHigUtA2PSlvUkVGRqrURPict2/fcuXKFSpXrpzpNQtCVlRt2BG5PIEtS8cDiTdoJo0bjp6uTh6vLHtd8fLG+/4jirm6UL50MbS0NPN6SYAI+gJgks+K9r9MoUqDjrhv/5NXz+4SmEY6g2MHtrL7YE86tm6EsXFyondDE3P6T1yJTFMrMZ9vVDi2TkWxyO+A35tnnDuyWWWeVh175XnA931QCG079+T8qUOpnq/euAtNuw7H1Dx/uvPI5XIiP4agZ2iisqNZW1cfG6tvbxdEUlXV69evK6uqzpgxI6+XJQjCN+DQsbN07dyO8NBgZZuVXUE6D8z4Z0g+a3sge1I8pAzGRkREcP/+fWWRNoCXL18SGJiYc/jTnLxubm7cu3ePN2/e4Ofnp3Lz686dO8rCcBKJ5IuLuJ06dYoJEyYojzU1NenatesXzSkIwo+hZMmSlCpVKsP9S5cune55Z2dntZtOERERPHjwQHljKi4ujnnz5hEWFsbIkSMzv2hBEDLN0ECfyTP+YOLowcTHZyzvbsqAr1uVunhd8lA5f8vzOAHvXmJtVzA7l5ohrq6uNG7cGHd3dxQKBUuWLGHlys/XFQoMDOTixYtfdO0DBw6IoK+Qq6o37kJCfBzbV0wGQJ5N6ezyWlx8PBu27OXPpUu4e8NT5ZxrqYrMmTOHVk3q5NHqEv1QQd8PIaGptuv8V1nQ1smVvhOWA7B58Rg8T+xU6yuRSrHNbwlA/vw2yvaPIe+ZP0b98VcATW0d4mKilcd1m7Rj5+ZVWXsT2SQk9CM16zXmwe0rqZ53LlqOTgNnpJl78um9a1w/d5DXz+7x9sUDYqIj0dbRU+nv5FL8i3I35aURI0bQvXt3ILGqar9+/bC3t8/jVQmC8DVb/NdGxgwfQHxcckqHwqUq88vE1egbGqczUtWLBzeoUiDjAYz0WFhY4OjoqKzu7OXlpRL0TZmX99PArZubG3///beyX8qq0Cl3/xYuXFilAFtazp07x4cPqrtzwsLC8Pb2Vq4vyYQJE8ifP/0bjoIgCAC1atVi6NC0H/nOrNKlSzNlypRUz12/fp1Ro0bh5+cHwKpVq6hfv36mgs6CIKTufVAI9x894/nLV7x89Zo3r98QHhFOXFwccbFxxMXF8ezJQwxNzIiJjkTf0ITAd+p5hNNy8+q/am35CxT+7AannDRs2DBOnDhBQkICZ86c4fbt258dc+jQIWUhXT09PZX6DemJiopSpvw6duwYkydPRk9PL+uLF4RMKl25oTLo+z148cqXeg0a8eLx3VTPP7xzldZN67Jj3zGa1K+OoYF+Lq8w0Xcf9JXL5Vy7eY98psb4vn2ToSBk4LtXqQZ8Adp37Ue1SmUB6NKxHRtXL1H5gp+alAHf2o3a4L5/W57u8g2PiKJ2g2ZqAV+pTANru4K4lq1Os67D0wz4vnh4kwWpBLhjoiNVUkO4FiuRvQvPRdlVVVUQhO+fXC5n2JhpLF/4m0p75frt6TZ09mcLt33q6rmDdG2cfQGE8uXLK4Oq165do1evXspzSUFfiUSittM3ZRD42rVrKkHflMHijKZ28Pb2VkkJkRp9fX0mTpxIu3btMjSnIAhCbipfvjyrVq2ibdu2yqDLpk2bWLBgQR6vTBC+bSMn/M7S+TNIiI/L8JiefYbQsnlj/lq1jn893JHL5RibmBEaEsTHkCC1/il3FmpoalO75U807jgYbZ28C3w6OzvTsmVLZbqGxYsXqxRdS03K1A4dO3ZUeVIqPdHR0VSrVo3w8HAiIyM5ceIErVu3zvriBSGTQoMD8noJ2Wrtpm1pBnxT6tSmMTINTSpWr8+WTWtxcrD57Jjs9HVUD8tBjVt3pXL5UrgULJDhMfqGxmikyFub0p6ta3nyzIeQ0I+cveBJQkLGfzEVdC3N8YM78jS3R1R0DHUbt+T2tfPKtvwFCjNx+TGW7nvI5L9O0OGXKegZqO/aiouNRqFQ8PB2xh4nqVG9eratOy98aVVVQRC+f1HRMTRt010t4Nuy52h6/m9+pgO+ocEBPLubteJEaUkZlL1+/ToKhUJ5nLRjt1ChQpiYmKiMMzc3p0CBAspxSRISErh582aq82eWnp4etra21KlTh4kTJ3L27FkR8BUE4avm6upKnTrJj2p6enqm01sQhIxYNGdypgK+SZrUr8HyJXMZN3E6FarUIiwkONWAbxKpVEb1xl2Yse4c7fpMRN/QJM2+uWXw4MFoaibGBzw9PVOtpZDk/v37yt26AC1atMjwdXR0dGjYsKHyeP/+/VlYrSBkXdiHwLxeQrZK+Z0KoM3PE2jYYWCqfRPi47h01p1pv8/LjaWp+K53+vq8fsfJQzsyPU7PwJhxiw/gsX8dD29e4MP7d8pzcnkCA4aO4tK/J4mKCMvUvM8e3sbE1IzK1WoxedIE6tSslum1fampf6zm2oVTymNLGyeGz9yCsZllmmPiYqNZMa0PD29dQENTG1mKXcpGJuYMGDaaIi6FePL0Offu3cPn5TOKlyzNwD7fdj7GL62qKgjC980vIIiGTVvh7ZV8I0xDQ4ueI+dToXarLM3pdf6ISuXp7JByx25ISAhPnz7FxcUFf39/3rxJzMP+6S7fJG5ubvj4+PDs2TOCg4MxMzPj3r17REYmP9WR0aDvkCFDsvURbEEQhLxSpkwZTp1K/Hs6ODiYiIgI9PXz5rFNQfhWyeVydh84wR/z52d6bKtOvalTuyb1m3Xg3ImDn83xq29kSsmK9WjccTBWds5ZXXKOsLe3p127dmzfvh2AW7dupdk35S5fR0dHSpTI3JO1LVq0YO/evQBcuXKFd+/eiXRaQq4J/ZC801dT6+sr4vYxPAKZVIaeXsbW9iFYNW1d/ba/EPD2OR7716eZDeCf9cv4Y+ZkrCzMvni9GfVdB33dT57L8lg7p6L0/N98FAoFg5o5qpzzcN+j1l9bRw9rBxes7QpiZV8Qh4Il0NLRY/PiMSpF4aIiwzlz8ghnTh5BV8+AKdNnMX507nwJjkuQ41S+Jabms5WB7MHTN6Qb8AV4+eg2D29dACA+LkblB9jesRBzp4/LuUXnsS+pqioIwvfr9t1HNG3WHN9XT5Vt+kamDJy8hoLFs77z9fn965/vlEl2dnbY2Njg6+sLJO7udXFx4erV5B3FaRVic3NzY+/evSgUCry8vGjQoIHKrl9nZ2fy5cuX7WsWBEH4mn2axzw8PFwEfQUhg67duMv6zds5fGA3b148Ujuvq29EXGyMWtBES1uXNp174ezszJZN6zmwY0Oa19DQ1KZg8fIULVsD1zLVsS9YHKn0633IedCgQezbt4+YmLTTRsbHx3P48GHlcWZ2+SapXLkylpaWBAQEIJfLOXDgAAMGDMjSmgUhs8JSpHcwNjUnOiIkD1eTSC6XM+/PtWzeuIEHd66hQEHFag0YMKA/3Tq2SDct680bXirHCoUca/tC9B6ziLWzB6NQKDCzsMXI1IKXjxNv5sgT4ildxo3nTx7k6PtK6ev95MsG/164oHKcz8ou03NIJBJKVW6Q5nmHQiX5adRC5m2/yfjFB+k1ehFNOg2hePnauJSoyMRl7tRu2QuQqI2NigxnwphhFC5akre+fpleW2ZpSCW8vH2KkKDka+1YOZW4z+QklqXzg17kG87bmxFJVVUBZVVVQRB+bIePn6N69aoqAV9LW2fGLtz/RQFfQPkHQXZLGdRNCtqmfHwwvaBvkqT+Kcd9SWoHQRCEb1VoqGpxaENDwzxaiSB8/eLi4zl64l/6DR2Po0txKrqVZOXimWoBX00tbWo07U6XITNVAr66+kb0HjiaU2cv8Ob1K2ZPHcOr5+oBEzvnYtRv9wtDf9/Mgh23GTFrK406DKSAS8mvOuALYGVlRefOndPtc+7cOYKDg5XHWQn6SqVSmjVrpjxOuXNYEHJayp2+JmbmebiSRKEfw2nQvCPjR/Tn3q3LyOUJKORyrpw/Tu9ubbG2caBxq64s/msjcfHxauPLV6ykcvz3wlGEvPejXPVmjJ6/h3Z9JzJu8QEGTV+v0s/f9yWTfsv8Ew5Z9V3v9L1+5ZLydcU6rQn2e5mlefqMW8bZQxu5fHoP73weI5VpUK56U+q07IWTazkkEvWAbhJtHT06DZhO1QYdObZzOQ9unFdLC/Hk4V0KONgzZcYcpvw6KktrzAiJRMKg7k35Z2VBZbDivtc51s8dSt8JK5DJUv9xsHMqhp6BMZHhqn/gOhcpxboVC3NsvV+LrFRVFQTh+7Rx6z76/9yV2BQFOl1KVqb/pFVfnBcuLOQ9Qf5vMDUs9KXLVFOhQgUOHjwIJAdtk4K/tra2aT7a5+TkhLm5Oe/fv1fmA75x44bKvIIgCD+alJ+DZmZm6OnlXSEoQfha7T5wgmXLV3D98lkiPoam2c/AyIxaLX6iVvMeGBrn49knTz1t3rqb+w8f0ah+HbXv0XoGxlSp357qTbthbVcwR95Hbunfvz+7du1SSaGVUsocvKVKlVLWXcisFi1asGFD4i7ply9fcuvWLcqUKZOluYTvg0KhwPvqaS6d3EVsTBSWtk5Y2TphaeuMRf4CaGhqJeavVShQKOSABCMzCzTTqIOVmrCQ99y9dlZ5bJbPHL/XT9MekIMOHTvLmnUbOX/mGCFB/mn2Cw58x/GD2zh+cBv37j9kzZ9zVM7PmT6efbu24PsqsfbT1TP7uel5jLotf6ZhhwE4F03ePFO3dR889q9THi+aMxnXwo7Z+8bS8F0GfeVyOWMnz+Hpg+RCM87Fymc56KulrUPD9gNo0K4/7/1eoatvhIGRaabmsC9YnH4TVgDw9uVDdq/5nYc3k4upJSTEM3XiaLZt28LVS+cxNMiZR8QK2OfnjMcpatSsRYCvDwC3PI9zas9qGnUclOoYLR1dRs/fw8G/53P70nFlwmqFQoGR4ff/KFtWqqoKgvBtkcvl6e4CkcvlzFq4kqnjhqnk3K1Urx3dh83JdMG2JKHB/gS8fUl0VDgvH+XMLl9Q3ckbEBDA7du3ef78OZB2Pt8k5cqV48SJEzx8+JCbN28SEpL8KJYI+gqCkNfOnTvHhw8fPt/xP8OGDVMrXJkZDx8+5Ny55BRyVapUyfJcgvC9WrBsPaOH9knzvIaGFkXdauJWoxllqzVFSzs5h6a2rur3y/atZ/+g7gAAIABJREFUGn46HH0jU1r9NJZKdduqjP1abN68OdNj8uXLp1Io91N//vnnlyxJqXjx4jx6pJ5WQ/jxKBQK7nud49A/C/F5nLyx7b7X59OkSqUyzK0dsHYolHjDRSIhKjyMyIgwFHI5Mg0NZBqayGQayDQ0eHbfi+CAN8rx1arX4P6ty9nyPt4HhXDyrCe379zF3NycYkUKUaJYYexsLFW+3719F0C/wSNx37dFbQ4DIzMadx5CVMRHLh7bpvJ0PMDubRtZuXgmMpkseYy+LmvWrKdtqybERCferImLieb4rhVcPbuf0fP3YGZhA0CLHqN4/eweT7yT3/Pg/n2z5f1/zncZ9O3Qoz97t65VHss0NClWrhbXPXZ/0bwSiQSL/Fm7o5aSraMrw2f+w93rZ1g7ezAxURHKcw/v3qRcpRrMmzePOjUqYWxo8MXX+1ThggU4deoU1atWISzkPZAYiE5PfgcX+k9ahceBDexaNQ2AF4+9Wbh8IyMH9/rqH5n5UoMHD+bw4cPExcXh6emZ5h1YQRC+LYeOnWXipEk8vn+Lpq07s2n1EpWbbmHhESxcto61K5fx1ueJytimXYbRvPvIdJ/2SM+1cwfZMG84Crn8i95DRjg7O2NhYUFgYGLV3L/++kt5Ay+t1A5J3NzclE87rF69Wtlub2+PtbV1zi1aEAQhA7y9vfH29s5w/59//jnLQd/r168zatQoEhKSb/799NNPWZpLEL5X2/ceZdz/1PPE6ugaUKR0VcpUa0ypSvXRMzBOZTQYmVogkUrT/PuofK2WdOg/FSOTvH88XBC+RQqFgke3L3Jo80KeP/D6/IBUyOUJBPi+IMD3BXc4mamxblXrMXxAL9Ysm5elaz9+5sOeA+5cunSZ2zeu8vrFQ+X3mpR09QyxsnXAzsGJ/PltcT+0i/DQYLV+9oVKMGDSaswsbQFo0nkI96+fw+v8Ya54JBY+DAny58TZSzSpV11lbNOGNbl81YuRYydy5theZfuHQF92rpzGgMmJ3510dPUZ+vvf/L1wNNfPJT59mVaxt+z23QV9Dx8/pxLwlUpldB70Gxb5HfJwVakrUb4O87fdYu2cwdy+fELZ/vT+Tdo0q49UpkG9pu1Yu2IxDnbZ+8W6ZNFC6BsaKYO+ZpYZy3dco0kXTuz+i9D/tsGPGdaHuTOnUr1OQ1q1aE6H1k3Qz2C1w29JZqqqCoLw9bt24y4jRo/D88xRZdu+beu45XWFhQsXoaWpxc59B9izdQPhYao7yCQSCR0HTKN2i15Zvn5IkD/blk3MlYBvEjc3N44dOwbAmTNnlO0ZCfomSTlO7PIVBOF7dPv2bWbMmKHSFhkZyYMHD3j4UHWTRJ8+fShdunRuLk8QvmpXvbzp3aMTCfFxyrZ6bfpSunJDnIuWQ6ah+dk5jEzMadh+ICf3rEKekJxH09Q8P12GzKRkxXo5snZB+BEoFAo2LxrDpVO71M4Zm1lSyq0yb3xe4Pv6ucrmxOxSoFAxjh/aQ1xsVJbG79h3jO6dWmcoYBoV+ZGXT+7x8sk9tXNa2rqUrd6UwiUrUaF2KzS1dJDL5Vw+tZtT+9Ygk2nQe/Ribl86QXRUOADbd+xRC/oClCnpiof7Hjz+vcrgoUN5eCexWPbtS8fxvnpa+ZmlqalN7zFLyGdlz/Gdy7P0/rPiuwv6Tp4yVflaW1efQdPWU7hk5TxcUfo0tLQYMGUND26cZ9fqGbx79Vh5Tp4Qz8lDOyh29jhzFixjSL9u2XrtQL+3ytd+r54gT0hAmmK7emo0tXRo3HEQO/5K/nd+7/+G/dvXs3/7esZa23P50iWcHW2zda1fg4xUVRUE4ev23Oct/xs7icO7N6ukaUjy4vFd2jRPu3inkakFnQbOoFz1pl+0jh1/TVbLSyeRSFK9S51dKlSooAz6JjE1NcXZ2TndccWKFUNPT0/tCQcR9BUE4WswZMgQhg4dmm3zPX/+XJn+Ji2ampoMHTqUX375JduuKwjfg779BxIdGa48btd3EvXb9sv0PK17jaVJ5yGEBgcQ9iEQhVyOY5HSaGp9f5uLBCE3hQb5qwV8DYxM6T90DFPHD1M+8SiXy3nxypdHj5+TIJcjkUiQyaQgkRAfF8/9R4+5f+8BTx4/5PWrF2hqamJgaIyBoREaGhrEx8URGxdHfHwc8XGJ/9naF2D18sXkMzPGzy9rQd9ly5enGfDV1tUnNibqs5tqSlaqT6cB08lnlbzxMSTIn1W/9+flo+QUK6f2raF4hTp4/XsIgB2bV1O9elX69eyQ6rx1a1bkhPtBirq6EvExMR3ejr+mYG3votyEKpVKad1rLEVKV8Vj/1ruXjuT6lzZ6bsK+rqfvsCtq8n5R+q17vNVB3xTKlquBmMX7Wf36hlcO3uA2Jjk/xNEfAxh+MBeFC1ciHq1KqUzS+Y4FirK0weJO1ZvXz7B9hWT6TJk5mcfVa7RpBuvnt7l2pkDxMfHqpwL9HvNsFHjObwn83mMvnZJVVU3bdqU10sRBCGTgj6EcsLjIv16d1P+Ek6io2uAibkVfq+fpTnevmBx6rXui1vN5lnO35vkwc0L3PI8rjyu3agNe7dvxMhQn0o1GxEa4PNF86cltR29bm5un/3Ml8lklClTBk9PT5V2EfQVBOFHoauri5GRES4uLlSsWJG2bdtiYWGR18sShK+KXC7n7o3kvxXKVW+WpYBvEm0dPSxtHLG0ccyG1QmCAIkbWKztC6p87+n6U3/m/z5BpZ9UKqWgox0FHVN/IrxF49o5ucw0PX6QnM7JzNKOYm41cXYth1PRcljZOpMQH0eQ/xsC3/nw3s+HAF8f3r/zIfCdD4Ym5tRt1ZvSVRqpfP/5GBrEjfNHiPio+nTni4c3aNtnojLoGxMdSf9enXj46DHzfpuQaopTexsrxk6cwdTxwwAI8n/DrCFN6DLkdyrWaaPsV7RsdYzNLEXQN7O8btxWOS5UIvsCpNFREfi/eU5CfCwJCQko5AnI5QnIExJQKBTYOBbB1Dz16ucZpaOrT/fhc+kyZCbvfB5zdNtSbl50BxJ3/S5dvjJbg757du+kVs0ayoqF5923oG9kQqufxqY7TqahSc//zafjgOk8unWRu9c8uHBsm/K8+4Ht3Lg9gb2HjuHvH8CwQX0pWTT7q9Hnhc9VVRUE4euz/p89DBvUVy3YK5VpULNZd5p2GYa2jj67Vk/H8/gO5Q5giURCqUoNqNumDy4lKmU5d++nUibw19UzZNPaFZiaGHH0xL94eZ6mUKGc+bwsUqQIJiYmKoXYPpfaIYmbm5tK0Nfa2hp7e/tsX6MgCEJea9OmDXPmzPl8R0EQVMTGxas8seTr85Dda36jbus+ymJGgiDkLalMxsAp65g/pj0f/0v1ee9exvPi56WP4REE+CZvjmndaywVardS6aOhqYWVnTNWduk/yZjSsR3L8di/Tq3d/81zXEpUolGHQRzftQJITI+xcNYkLnleZMeWDdjbWKmNmzh6ELt37cDb6yIA0VHhbJg3gvs3ztN54Ax09LK/bld6vqugb7dObfh9ylhl5byDf8/HtUy1LH1RjwwP5em9azy5e4Wn3ld59dQ71UeBk0gkEoq51aJG0+6UqFAHmSzr/7QymQZ2zsX4ZeJKNi8ei+eJHQCcct9LRORf2ZYzt1QxFw4fcadRgzpEfAwFEn/g9Q1NM3RXVkdXn9JVGlKyYj0un9qj3PUrT4jHrUxxZb99Ozfz7OmjHClK9yVyoqpqSh4eHpmeXxCE7DVk9FSWL5ih1m5lV5BB09ar7B7pNnQ2rXuNIyLsAzINDfQMTdDVM8z2NekbmSpfS2VSZc72KdOmZ/u1UpJIJFy5ciVLY4cMGcKQIUMyPS4rn7OCIAiCIHx7ZDIpunqGREV+BMDv9TP8Xj/j9L61jFm4D2fXcnm8QkEQACxtnbBzKsqDm+cBMDAwyuMVZYy2lpZqOrxs2pDjfeVUqu0KhQLfV49p3XscFjYF2LpsojLP+KWz7pQqVZplK9fSrX1zlXEymYzzZ47Rs+9QDu7cqGy/cnoP187sT1y3QoF9oRLZsv7PUd+P/A1zcrDh54EjlccvH93kwrFtmcqRGB72gd1rfmNctwr8Nb0Pp/as5uXjW+kGfCHxB+Le9bOsnNGXyb2rc3jLYkLe+2X5vSQp5lZL+ToyPAyvW+pJqL9EtUpl2bn7INo6esq2PWt/59yRjH9RDwnyU0vzkFJQgC+/zVn6ResUBEHIrGmzl6Qa8NUzMGbQ1HWpPi6ob2iCpa0T+azscyTgC2CZP/m6ER9D6d5nGO269cPrkrhRJAiCIAjCtykyKppCRUulem7XKvW/xwRByDspn4A0NTVNp+fXIS4+nhHjVT9HPn54ny1z2zq5pnlO38AEgGqNOjPs980YmSandgoJ8qd7hxa06tib177+KuOMDQ04sGMDK9ZuRd/QWNmemC0gHrk8AZ/HqpkKcsp3tdMXYNbUsaxbMZ/YmGgAtv45gdP71lKhdivi4tIOTMZGR+FxYD3Hd/1F9H93J7Pqw/t3HNmyCPdtSylZsR5lqzXBtWw1jM3Ut36nt54rHnvZtmKSsk0ikWBna/1Fa0tN04Y1Wbd5Bz91aaustLp9eeJ1azXr8dnxJvms0dEzTPffbcWSuVQsX46ObRpnz6IFQRDS8eKVL79PGaM81tDUplbzHhQuVQU752J5+pih+X+J/JNsWf+nyrHsMwU1BUEQBEEQ8srDJy949PQl79758+rNG54/f86Na1d49uiOchfcpxSK9AsrCYKQu1LWKAn+EJyHK0mfXC7n2s179Pq5Lw/vXFU59+l3qqwqX7OlSr2VJE6uZVXSRBQpXZVJK46zefFYld3BB3dt5JT7XgYOG0eThvWws7HCqYAtWlqaDOzThTo1K9OuY1fu37qsdo3c8E0EfeVyOW/9AjE1NsRAXy/dvnfuPVYGfJP4v3nG4X8Woqenl+qX6SD/N0zpV4vQIH+1c6bm1pStUI0aNWpQr04NLPKZoiGToampiYaGDA0NDd4Hf2DZyg3s2rqBoADfFOtO4PblE9y+fAIAmwJFKFq2Oq5la6CjZ8B7v1e8f/eK936viIwIw8jEHJN81sTGROF5cicRYaqJpEu6VcO5gG2G/90yo1v75oSGbGRo/57KXc3bl0/C2NSSMlUbpTtWKpNRqW4bzh3+W9mmqaVNt6Fz2LjgfwBERYTRpX1zvKf/wW+TRqY1lSAI36HIyMTPZL1sSk2TES9fvVXexAJo22cCdVr2zrXrp8c8vwP6RqZqn/FJEhLSf7JEEARBEAQhN3levcWkqb9x5tjeLI2v0iD1aveCIOQNKztnnj/wAuDciYO8eOWLk8PXkXv7wqXrNG/Xg6dPHvH6xSMiw8NUzkulMpr3GEnJivW++FoKhQKHQiXR0TMgOjJc5VztFr3U+hsa52PglLWcP7qF3Wt/I+6/2GNkeBgLZk1kwayJQGLBvMnT5zB66M+4ujhx69p5Dh49w7MXPowbkfUCl1nxVQZ9P4ZH4H7yPOcvXsLr+lXue98gNDgAiVSKjX1BzC2t0dPTx7mgCwvnTsfS3JSgD6F07tGPU0d2Zfp6MdGRaoW5KlZvwJzZM6lV1S3VqnwpWVmY8dei31k6bxr/7DjIylWruHbxFAq56h1NX59H+Po84nQqSaI/x9TcmgXz52V6XGYM6tuVBLmcEQN7KQO//ywZi2Ph0piYp7/DuGH7ASpB37jYGKQaGpSr3pQbF44CiUHw3yePIj4+gdnTxqQ1lSAI34G4+Hi27DrM6lWruHz+BIbG+Viz7u9c2+0fGhqqcuzs6pYr180ITU1tOvSfyt8LR6e5I0YQBEEQBCGvRcfEUqVmQ25dPZfpsdo6ejgWKUPZ6k2p3rhLDqxOEISsqt6kK5dOJsbOYqIj2bR1N9PGD8vjVSW6cc2TmJiYVM9Z2Djy85glOBYp88XXiY4MZ/6Y9rx98SDV86ltCoXEJ/BrNutO0XI12LPmd+Umz5TCPgQyZlgfnj17xpj/DcK5gC3tWjYAwMzMhGEDflbmP89pX0XQNy4+nn2HT1OuVFHCIyJp2KgRge9eqfVTyOW89XnCW58nAFw6d4yo6Cg6tGvLsCEDUh2TWYWLuzF7zhzaNq+f6bGaGhr07taW3t3a8uDxcxYuXcUJ90O8ep76D1FGOBUuwYBBwxnavwe6OtpZniejhv7SnfDwcH4dNRBIzPUyoWclGnUcTKW6rcnvUDjVcWaWtpjksyYkKDmP8fq5Q1Ptu2PbZhH0FYTvVEJCAr/NW87yJfN57/da2R72IZDunVuTsHUvXdo1zdHrd+szlJ1/r1Rpj42JyrFrZoX35VMqAV+JVIqVTQH83rzIw1UJgiAIgiAk8nn9jqrVa+D76lmG+nce/DvOruXQ0NQEwNLW+YuKmwuCkHOcXcthnM9KGdj09w/I4xWlTyKRUK1xF9r1nYSOrn62zPns/vU0A74A+zbMxsq+IKUqpR4btMhfgAFT1vDg5gX2rZ/F62fq9bdWLpnFyiWzKFzcjdWrV1Grqht9e7SnXYuGTJkxl2WLZmXLe0lPnn8KR0XHUKVWQ25f/RctbV1Kla+WqeDt3q1r2bt1bYb6StPIk2hoZEKtRm1o1bIF/Xp2+OzO3owoWtiZNcvmAnN57vOWPQeOcfLkCa5dOkfIf//HkkplmFvbkd+uACYmZrwP9Cco0I/I8I8UL1OB/40YQbsW9bNlPZkxYeQATp8+zemju5Vtx3cu5/jO5fw8dikVardKdZxr2epcPrU71XMpte0g7vQKwvfI49+rDBg4gCf3b6Z6Pi42hp+6tsX2zEVqVs3+nbe+foF06NoLzzNHVdp19AyxcSyS7dfLqsB3PnidP6w8rlKrMccP78bQQB/XUhVJiEo97YMgCIKg7ty5c3z4kPHPTR0dHcaOHZuDKxKE70OLNh0yHPAtV71phmrBCILwdYiJjiQiLLmYm9Z/N2u+JlUbdiK/gwv5HVywcy6GsZllts6f38EFiUSCQqEAQFtXH109A8JCgpAnxKNQKNjwx3B+23ABA6O0i90VLVudon8eJeJjKB9DAnly9yrbV0xW2eDz+J4XzZs25K73XQrY58fUxIgBfbr+GEHf8VPncvvqv0DiTqzrF0+l2q/PuGXEx8fi+/IRJ/esytK18uWzIDgoUK3dwd6Wo3v/ydKcGeFcwJYxw/owZlgf5HI5d+4/QSqV4lrIES2tr+//XABbN63GykI9gLtxwUjsC5XA2q6gSrtCoeDx7UtpzmdkYk6j5u3o37c39WpVyvb1CoKQd4I+hDJoxHh2/bNaLa2NgXE+wkODlMdxsTFs/Ge7WtA3MjKam94PKOjkgLVlvgxf++27ACbOmMu/Hid5+fSeyvWlUhnla7WgSeeh6BuaZPHdZb/ggLcqx/P/mI2hQeId654/9WbDyoV5sSxBEIRvkre3N97e3hnub2hoKIK+gvAZUdExeHtdTPO8vqEJjkXK4FikLAWLulGkTLVcXJ0gCF/qzpVTxMclp1Bo06pZHq5G3ZAZmyhevnaOXsPM0pai5Wpy3ysxfY2egTE+L54xd9EKZk4eBUB0VDjv3/mkG/RNom9ojL6hMdb2hbDIX4C962fx+uld5fnw0GAcHWzoPWAUKxbnfLA3SZ4HfV+98slQPwUKKtdrB0CLnqOYPaw573weZ/g6VWo3IS48MNWgb26SSqWUKfH17DhLywufN6m2yxPiCQsOUAv6fnj/juDAt2r9K1ZvwKiRI2nZtC462lpq5wVB+LbdvPOAhg0b8t5f9TPD3NqBJp2HcPnUHp6kCPpKZRp0aNuSy9fvcOZfT65eu4b3LS98nj4gPj4WiVRKi/Y9mTVjEkVdnNJ90mHJyk1MGvc/wlMpiGZsZsnAqesp4FIy+95sNrGwcVQ5fvM2OS3OoL7d2bYxazc2BUEQBEEQsoOujjZOhUvw4nFywKJem74UcClFgcKlschfAIlEkocrFAThS9y7flb52sahEDWrlMu7xXyimFutHA/4JilUvIIy6KulqYWhvg7ly5ZS6WNkapHpeV3LVOPXpUcICfJny9Lx3L3moTy3YeUCQsNCqVuz6pctPoNyLegbF596sZpWLZqzf/v6dMfq6Bli71xMeaypqU3dVj+zZel4lX5Wto4s/2s1+a0s0NXRRldXBx1tbYyNDDA1MaJixYpf/kZ+EKfOnFdrs8hfgHLVm+FSsrLaOQ0NTWQamiTEx6m0Oxd0ybXCTYIg5K77j5/ToGEDgvyTb/jINDRp1GEgjToO5sCmP3hy94rynL6hMf8bO5XRY8Zy/9blVOdUyOUc3LmRgzs3YmBkSoWqddi+eS2W5qp3V//19GLEwF6pzuFapjq9Ri/K9keAsotJPmu0tHWVeYa97z1Qfk6aGBtS0k39M1YQBEFItnnz5mydb86cOcyZMydb5xSEb8n9x8+Zv/gvSpUszrD+PYmNi0ffwEh53tq+EO37Tc7DFQqCkF18fR5z5fQe5XGFKjVyPaVoeqzsnHPtWppaOsrXsbHRALx8lbyZSSKRfNF3SpN8VvT43zyWTe6pkvN33/b1nDq6L8vzZkauBX0PHPWgTOnSau1d2zdnxFBLQoNVE0draetibu1A6SoNqdKgIxb5HZTnYqIjObR5gUp/11IVOeF+EHsbq5x5Az8YT09P5Wtbp6JMXOae7t1cI1ML+k9cxbq5Q4iJjlS2N2qY+YJ4giB8nQ64n+HQYXfCwsKIiAjn2qV/VQK+LiUr03XITKztCwHwMeS9ynjXEm7Mnj5O7eZQWsLDPnDm2F6GjbZi+8YVKucOu59UOS7mVouy1ZpQuGRlLG2dsvL2co1UKsXS1ok3z+8D8OjRI7XzgiAIgiAIOSkqOoaLV25Sya0kHTt3597NxFR9E8cOR1NLR+X7eenKDfNqmYIgZKPI8FAWjeuk0la3Tu28WcxXQFNLW/k6NiaKuUtWM35Ef2WboYk5Mo0vS8lqZGLO2IX7ueKxl3+WjAMSNzqFhQR9ZmT2yLWg79JF8+jdowsOdtYq7Vpamoz9dRoTRw9StkmkUsYuOoBtGoV34mKi1YIJtnaZywMppO3ilZucPJKcz7dgMbcMPb5TslI9Ktdvz7nDfyvbxowcxuOnz/h90kgRyBCEb5RcLqf3gFH8vWZxmn1KVqpP/4krlb8Uo6MiuHb2gEofr0seKscSqZT89i4UKFwKx8JlsLR14tzhv7nleUyl383rV9Wud8z9sMpxmSqNqNao8zfxqGFkeChBAcl3kOWK5DzEcrmcK+dPwvgRebE0QRAEQRB+AHK5nBr1muHleRqL/A5oaCSHBSLDw4Aw5bGZpR312vbNg1UKgpDdvM4fITwsWHlcvV5zBvftlocrylspd/pGfAxVCfgCGOfLnk2lGppaVGvUmeBAX45uXZItc2ZUrkXhggPfUa9hE0JCP6qdq1Vd9VFWhVxOoO+LNOcyMDaj1U+qBRhOH93NH4tXZ89if2AbtuylTs0qxMUmJ/WuWKdNhsebWtioHL/3f8PsqWOYOit3f7AFQcg+bTr3STfgW7RsDfpNWK5yF/SfxWkXyZFIpdRv9wsLdtxm8l8n6Pm/+dRs1h3XMtXoP2kVw2dtVelfpUYttTni4lR3C29d9iubFowkNjoqo28rz5zev46o8OQvU106dlC+/nnwmLxYkiAIgiAIP5DNOw/i5XkagMB3r5B/Uog3iZGpBcNnbcHQWGyuEoTvwft3yTW1rGwd8Ti2D5lMlocryluf+2yzss3eVBONOw3O1vkyIle3Xj59cIumrTuRkJCg0h4Rpf4l/cWjW8TGRKc5V6OOg6jftp9KW1q/rISMmzfvD5WAb+nKDSlYrHyGxzdo15+OA6aRz8pOpf3uvbtpjBAE4Wt2wP0MB3dtVB5rauvg5FoW1zLVKVO1EU27DGPA5DUqd0kBnt5T350L4FzUjfGLD9Kuz0R09Y1S7fNpvvaRQweo9Vn11wrsnFSfBrnisZfFv3YhLkUl2q9NeGgwHvvWKY9LV6xJu5YNABg9aTabVi7Mq6UJgiAIgvCD2Lx5i8pxlRp1U+03bOYWLD8pQCsIwrfrw/t3ytdBAe9QyBV5uJq851quOkXL1lBrNzDOh33B4jTumL1BWpk015ItKOX6FS+ddWfQ/yaxaulsZVvD2lXp0W84m9ck7wY9sesvrp87xM9jl6QadAwPDebSqeQUBGYW+RnUr0fOLv4HEP/J7rneYzO3Q1cqlVKnZW9qNevJ2K7liPgYAoCDQ4FsW6MgCLnHQE9P5djariD/m7sDTU3tNEYkatZ1BIe3LCLsQyClqzTCrWZzCpes/NlE+M/uXeO93yuVNi1N9V9VNau64fP0Phu37mP44H6Eh30A4MXDmxzYMJf2v0zJyNvLdcd2LCM6Klx5POu33wD4Y8laFsz8Na+WJQiCIAjCDyAuLo6e/YZy+uhulfagoPfUadKOM+7JxZ36jFuWZrpFQRC+TebWybWy4uNi0NbWonufYWxem7tPZn8tGzY1NbUZMmMTp/ev5dyRzVjbFaTL4JlqmxjT8+b5fXx9HqFnYIKBsRkGRqbo6BkSHhpESJAfIUH+BAe8JeS9H6+eeufgu0ldrgV9DY3z8TE0MVHx3+uWsWTedHS0tZTn58+ayrFDewn0e61sCw54w/q5w5i5yVNtvsun9xDx35d8gPadfyKfqXEOvoMfg5GxifK1S8nKaOvopdM7bbGx0cqAL0ARl0JfvDZBEHJfnRoVqNukHR7/fQl4/ewe47tVwKFQSRyLlKFOy14YmVqojImNjkLP0IRffv0L52LlM5Vnd+eq6SrH2jp6/Dp1JjVrVOeXnzqjp5e8o1gqlfJz93ZUrliWRo2b8uZFYkG00/vXUaRMNUpWrJfVt53tIj6GsH3FZK6fO6hsq1C9Pk0b1uS5z1smjk5XDY6eAAAgAElEQVS+iyyT5f4dYEEQBEEQvn9/rd3M9k2r1NrPnzyociyRSilcukpuLUsQhFxSq3lPzh7epJJq7p91S+nVoyv1alXKtXUcOXk+1671OVKZjAbt+tOgXf/Pd/7EvetnWTblpxxYVfbJtW+WrXqNVVaqi44M57jHRVo1qaM83733AJWAb5LgwLfI5XK1ImAamqoV9NYsm4tcLmfV0tmiYNgXqFmrjrLY0hPvy7x66o1DoZKZnidlrhiAYkULZ8v6BEHIXVKplD3bNlCq7D1ev3gIJBYie3jrAg9vXeD25RNMXnFCGdh9cOM8W5ZNIOi/z3NbR1fqtv6ZCrVbqaWA+FRCfBxvXjxQaYuJjmTftnXs27aOKb+OZsXK9XTv1FKlT7HCzuzetYua1SoRG5OYLujvhaOZuMwdE3PV4qF54e41D/5ZMk6lCrZUKmPOzJkA3H/4lPj4WOW55j1G5voaBUEQBEH4/jnY22aoX5X67TEyMc/h1Xx9ouIlXHml9fmOgoqo+K+/kLKQyNjMkh7D/2DDvOEqaT0vXb2ea0HfgPcf2PT35ly5Vk47e2hTXi/hs3ItOlrApRQ6ugbK4wMHjyhfx8XHc8HDPc2xCQlxam01mnSjYp3WymOFQsHa5X8weeaibFrxj2n08P5oaScHZmYPa860X+qyaeEobl86gUKRwZwvn+zsC/4QkkZHQRC+dibGhuzbtwcrW0e1c+98HvPg5nnCQ4PZuGAkSyd1VwZ8Ad6+fMjmxWMZ07ksv/5UhRkDG+C+Y1mq15FpaNK446A01/ExJIg+P3Xm/OUbaucquZVk6swFyuPwsGA2zB+O/JMc8jklKiKMN8/vqzyqFB0Zzpal41k+tbdKwFff0Jjla/6hbs2KAGh+kr7CoWCJXFmzIAiCIAg/ltbNGzFnwfJ0+zgWLkPnQb/l0oq+LnKFhIg4qfgvk//JFSLo+y0pW60J83fcUWl7+PBRjl/X/fQFipWpjLWVOZ5njub49bJCoVDw6qk3nid2cN/rHCHv/dKMgSUkxPPE+/Jn55Tm8VOcuXZ1qUyDImWqcfvScQB2bdvAoj+mYaivR8Vq9YmK/JjqOGMzS2QyTbV2mYYmvUYvplDxiuxcOU25S2rR3Bn069UVR/v8OfdmvmM21hY0bN6Rw3v+Vrb5v3mG/5tnXD61G7cazek6dBZ6Bumn0rBxKIyuvhFREYmPDbgfO0nb5vVzdO2CIOQct9LFeProPgfcT7NmzTrOndivPPfnpB5oaGip7Fb9VEx0JDHRkQAc3DQPZ9dyFCldVa1fix6jKFauJvPHtE91ntiYKNq3a8tNr2vYWKumlRj/v/6cOnWKM8f2AvD4zmW8LhyhQq2WqU2VbYID3vLHyNaEBgfgWKQsP49dwof37/h74SiC/N+o9HWrWo/tm9dTyDk5n5amhurvuK8lx5UgCIIgCN+fcSMHMXp4fxycXfF99VTtfJ/xf3726SxBEL5tWto6WNsXxO/1MwDkisTvHyGhH9m66xBBwcGUKlmcyuVLY2Vh9sXXcz99gTbNGym/D2Ym/d+XiIoIw+v8Ed6/e4VCIUeukKOQyzE2s6RSvXbKJxpCgvy56rGPyx57eOfzWGUOCxtHeo1eRGx0JKHBAZSp2hhtHT0kEinx8eobVJM0bdONTp060KFVY1q278GpI7uU50pUqIupRX7OH92S5vjskqsh59oteiqDvuGhwcxdtJJfRw3m1tVzqfZ3q9mCOi1+SjNdg0QioUbTbphZ2irzaERFhDFw6Gjc9+f8P96/nl6Ehn2kfu0q6OqkX9ToW7Loj9+4c/Mar54/UDvndf4wLx7epEqDDphZ2mJmaUs+KztMzfMTHvYBX59HvPN5jK/PI2XAF+DWLfWdeYIgfFsM9HXp1r45bZrWx8rGlvDQYOW5lAFfHT0DRo6fhp6uLqtW/KlMC5HSjQtHUg36AhQsXoGpqz04vW8tegbGVKzdmvPuWzh3OPFmVICvD81bd+TKhZNoaiT/GpNKpez8Zx1Fi1/l/X/BVs/jO3I86Ltr9QzlTt6Xj27y26CGxMVEq/TR1tVn4rQ5TBw9SO13WtIfWcrjhPgcXa8gCIIgCD82mUyGoZGJWnvPkQtUCj0JgvB9io6KwP/Nc+Xxtg3LOXvKHb83L9R2tuaztGHoyPFMHTc0S9e6fP0OHdu2VAZ8s0qekEDYh0BCgvz4GBpEdFQEMf/9l/Q6Pi4WWydX8ju4cPn0Xq567E3zuke3/Yl9weJ8DAnE/+0LFGlsvAn0fcm8kW2Ux241TtN3wnKkUildh8xi56ppxERFqM+/bwtH921hmJmlylOfAL1GLyY02P/7C/oWKV2NAi6l8HmSuJV87vTx3Lt7j3yWNgQF+Cr7Nek8lIYdBqKjq5+heYuXr0256k25cSFxi/ixA1uxd7pOQkI8CQkJGBga07lbzzS3ZT9+/ARHl+Joaemgb2BIi1atmTx2iEowIaXY2Di6/jyYPVvWAImFhkqVr4pr0eLcv3cXiURCt27dGDGwV0b/ab4qhZwdePHkLncfPuP02Qt4XrrMsUO7lQGe4MC3HNm6OFNzWlpa5cRSBUHIA3p6Opw5+y+/TvmNf08eUvlFWqVWYzas+YvwyEiGjhhNUKBvqnM88b6S7jWs7QrSbejsxL53r3Lt7AGV8zevnGXnXne6dWyh0m6ez4TuvX5h8dwpADy6fZEg/zeZqsCaGQ9uXuCW5zGVtk8DviXKVWXrP5soWTT1gpar1m5QvpZIpegb58v+hQqCIAiCIKSgb2Co1la5Xrs8WIkgCLnN1+eRWnzs3evnqfYNCvBl+q8jaNaoLuXLFFe2h4R+ZNzkWbgf3k9MTBQaGhrIZJpIZVLkCXLk8gTk8gQ+BAUQHRmuHFezWQ8q1W3Lymk9U72eQi7nwY3z3PM6y3u/14QE+RES5EfYh8A0A7NZER35Mc30DBKJJM344Y0LR4iOnIuOngFVG3akfM0W3Lp0nCsee3lw87zaGj8N+ELqKWxzSq4GfSUSCY06DmL1zAEAyOUJHNy1Ua1foeIVMhzwTdKu7yTuXjujLOLz5mXyluwAYNaU0Rgbq9/NBIiLi8Xn6X3l8a2r59i5bQubN22gQrnk3Ipx8fH4vPKlU7de3Lh8RtkeEx3JtQunuHbhlLLNy/M0Xdq3zJat8HlBKpVSqpgLpYq58L9BvXn2cjLtO3VPc1d2emQamowZNSIHVikIQl4pX6Y4Jw5u50NIGKs2buPKlas0a9qEn7u15fEzH+rXq0tIkH+a483zF8jwtf49spnI8FC1di3t1J+wGDrwZ2XQV6FQ4PPkTo4EfRPi49i5cqry+NMUF5pa2vxv/HRmTRmNTCZLdY7Xvv4c3JWcTsetRnP09AyAtFNlCIIgCIIgfKkWLVupfKfV1TdCLk9Alsf5JwVByHm6euo3fVKSSKUqwUuFXM6vU37jxMHtyOVyFizbwKwZE9P9vpeaqg070XnQb3wMeZ9mnwvHtnF89+pMzfs5Ng4F0dbRQypNTMmQMv6XRCKRULpCTbp170nfnh2oWa8J3l4X1frp6BkiSfHkppaOLhXrtKZindaEBvtz7exBvM4f4fWzuySkkv6haLmaGJmYqzw1m5Ny/RO9TNXGNO06nGM7lqf5COvda2co5lYrU/OaWdrSrOsI9m2YnWafuLjYNL94f+rR3etUq1IeJ5cShIUG8zH0A5HhoRkuZKZnYISGRsau9S0o6GjHdc/T/DZvOfv37sbv7WveB7xN9YdYV98IB+ciuBR2pXjxEnRo2xy30sWyZR2ampoUKJDxYNH3SFNTPce1IOQVUxMjxo/oD/QH4Jb3Q1q1bpvqHwBmlnY4FCqBc9FyVG/cJcPXsClQWOW4oGtpfhkwhHYtUs8T7lzAVuXubEIOpUs4e2gTfq+Tc+GNnvg7zs6OLJj3B/ksLFk8f67KjcPUzF+yitgUO4MbdRgoKkdnM1FRWhAEQRDUTZswHH//AFYumQUkpkkM9H2JtX3qTyYJgvD9yO/gQo8R87h/41/MrR0wNMnHkzuXCQn2p1rDTlRp0IH3/q85/M8ivP49BMDJQzvoN9SR6Kgo/lm3NNPXLFO1MV2HzvpsPt/4uIxtfpFIJGjr6qOjq4+uXuL/JsTHK9OUamnrUL9pO0aNGKYsoJ1k7+FTbN6yjfi4OCwsrXCwt6NL+1YUcXFU9hk8ZCgDeqsHfX8atRBtHb1U12RsZkX9tv2o37YfcbHRPLx5kaPb/+Tlo5vKPnVa9srQ+8suuR70lUgktOg+kkp123Jo8wKunzuo1sfSxpGIj6HoG6ZfLOxTDdr3x8TcGl+fx8hkssS7lBIJ1/89pJaMOSUNDU0adxpMXGwMdy6fJPCdDwBxsTE8vueV5rh81vZ07D+Nty8ecPDv+SrnyleuTT7TzK3/ayeTyZg2fhjTxg8DICEhgRc+b3n45AXPX/pgZmJChXKlcCnokGYe5i8llUrRTmN3nyAIeefhkxeM/XU6R/ZtUbmhV7JiPeq07I19oRIYGJlmae6qDTtxZOsS5U2m8pWqMnZ43/QHSSSQdJMugzfr0hIbE02A7wtiIsOxdnBB39CEsA+BHN6SnObG3smV6b+OQEtLk349O2R47ojw5EedNLW0sbRx+q9ytAhUCoIgCIKQsyaNG64M+gIEvvMRQV9B+EFUbdiRqg07Ko/rte6jct7ariBteo/j9qUTxMfFALB22Vy1eQoWr0Dx8rVJiI8nIT4OhVyORCpFKpMhlcqQSqWYWthQoXYrJBIpPk+8ef7g+mfXZ2RqQcmyFclvY4uNjS32dnYUcLDD2dEORwdbTIwMUt3U+ezFGx49eU65MsWxtkw9bV7b5vVp2zz1DURJ+vfqhI21FS2b1FG2VarbltKVG3x27QCaWjqUrFSPEhXr8uDmeW5eOEqBwqUpWbFehsZnlzx7dsPSxpE+4/6kccfBPLh5PvFREg1NNDS02LtuJjtXT6d6oy606jUOXX1DoiI+opAnoGdokm5ht4p1Wqu1N+o4iEsnd3FwwyxA/cu/hY0jrX4aCyRWjj/493zOHFj/2V294aHBPLrtSYdfplC+Vkum9KmpPHft0hk+hkdgaJC5NBXfEplMRiFnB5Uq9IIg/Fjkcjn9h01g46rFKqkNAJxcy9J3wgq0tL+sArSxmSXlqjdV5vU9uHsLIUvmYmKc9mNJEokUBYmPJCkUGcv99OH9O3xfPsL/7Qv83zwj4O0LAt6+IDjwrUo/MwtbNLV1iI78qGxbsGgJWlqZ34XfqGF91q2YByTeaHx0xzPX/xAQBEEQBOHHlN/KHD0DIyLDEwtwB/r65PGKBEH4muSzsqfX6EWsnTM41Y00Ddr1p83PE5S7dxUKRZo7eR/fucSu1TN48/w+EokEAwODVPsVLlaK32bOpWmDGmnW2UpPQSc7CjplT2q/0iVcVY6veOylUceB5HconMYIdRKJhGLlalKsXM3Pd84BeZ6wx9bJFVun5H/IReM7K/Pynnffwnn3LSr5RKQyDaQSKfHxsXQcMI06LXt/9hoymQbVG3fh0vGtBPq+UDuf8odSW0cvMYhbswXXzh1EIZfz6LYnge98kEilxP23NoCYqAg89q+jVc8xWHySnzI2OhqJJGd2uwqCIHwtfp0+n7XL/1Bpk0plVGnQgbZ9fv3igG+S6k26KoO+URFhXPG6Q6O61VLte/HKzTTTB6UmIT6O7Ssmc/H49gyl8Pk0CFyrQSs6tGqY4espr5uQwOzZqimJtLR1Mz2PIAiCIAhCVsTHJ6CnnyLo++5lnq5HEISvjyTlE5SfOLlnFXevnyE6MpyIsA/Ex8dhU6AwjkXK4FSkDPYFixMV8RGPAxu4fel4hq7XuH5tWqXYXZuX7GwsKVGuKndveCrbbl48lqmgb17L86BvSu/9XvH4ziW19pQJpOUJ8SQd7VyZsaBvkoymHLjleZxDmxfg6/MISxsnYmIildvZP1WweAVkmppER4ar5JBs160PBvriy7sgCN8vj3+vsmDWZOWxRCKhQu3WNOs2Aksbx2y91qeJ7gvY26gcB30I5fTZS1zwvMzuHZtV1uTkWi7NeWNjolk7exDeV09naV1a2jqsWLYwU2OiY2LZuusQq1at4uaVs8r2stWaULhUlSytQxAEQRAEITPkcjn/Z++u46LatjiA/2aG7pCQEAQBBRNREfWKXagodqLY2N11RVExMbHr2oqFLQYGihgoBoKCSIh0x8y8P3ie8TiABTOA6/v5vM87e599zqy5Ksyss/fafYaMxpf4aKZPrpg6lYSQv5OAz8f5Q+tEHRwOZHgyKPhmb6fvS6lGR4QiOiIUARf/K/a+ZVUOtLRxuVwE3LwMDTXRClNlVQ0pRvTrylXSNz8v58eDvrNycncMnOQJo+q1Si2OI1vmIzXpMwDgcxEzg79SUFSB++Ld4PFkwOfJsGaINW9W9Aw0QgipDPILCjB48ABWSYcJ/x5ALdsWZfJ6YS8CmWOdqtVQ06I6gMJawjPmLMLFM0eK3FiynctosZUYX6WnJmLH8nEIC3nA6ldQUoFhNXOYmlnAvIYFrGtZoY51LairqyDw0VMEPQ5GSMgzZGdmYObs2bC2NGNdz+fzkZGVjYyMrML/ZWUhMzMbCV+ScOzkKVw6ewJp3+1Yq6VrhEGTVv5wYwNCCCGEkD+Rk5sHv6u3sXffQZw7sY/p19YzQtueI6UYGSGkvPE/u4eV1F3ksQ4LZ03Aau+dWDx3GnKyMkq4WpyishrGTpqJcW4D0aB+3dIOt0xEx7A3KNczMitmZPlUrpK+VatZou/YJQi4eBjxn94XO7v2Wx/ePi315bCaVQyYpG9J1p18yRzLyStAWVUDmekpAICIiOKTxYQQUtE9Cn6BmKhwVt/ZA2sghBC1GrQo9eTll9go5jg5IQ7L12zFo6AgnD9xUKyW8FeGpjXhNHiqWH9meiqunfKB/9k9yM3OZPqr6BnB98xZ2NvVxYvX4Xj1Jhxv3r7D06fPce7ceUR/jER8TBRU1TSxb/9+tGreiHXfwMchcBs5Gi+fiK9YKYmCogrcZntDSaVybf5JCCGEkPLj+q1ALPFYjqC7/sj+Zl8CoDAR475kL1TVi970iBDy90mIjcKZ/auZtr5RdcyaMgZcLhezJo2CU8c22OqzD6mpqdDS0kKVKtrgCwQIfhyM508f4WPEGwgEfAAAh8tF9z6u2LDaA9WM9BEXFyett/VLgp6+hIsLe5NuPSNzKUXze8pV0hcAHLu6wrGrKwR8Pr7Ef8Tt8/tx3XcXawyHy4W8vBJ0DE3RuvvwUl9G7DRoCjYtHFrseQUlVQyYsJzVFx8dwSR8ASAtLa1UYyKEkPKkQd1aMK9ZD+GvnzF9H948gff8wXBo37fUZ63qfPNzvqAgD/OmjytynKKyGkws6sLMuiFadhkMWVl55hyfX4CrJ7bjyoltyM5k/4w2NLHA7r17cfi4L3r0cEbCN0nm76UkxmPJUg+0uuLL9PnsO4ZJ49x+6Wm3po4BmrTugeYdB0Bbr3Q2GyCEEEII+d6mHYcwxd2tyElVXJ4MRs3biqrVLKQQGSGkPBIKhfjPew7yc0Wr8Tdv9YGigui7lY2VOTatWVrsPVJS0xH6JhzZ2bmoZWUGA32dMo25tPlduQ2XHl1Y3++qVrOAhra+FKP6deUu6fsVl8eDroEpeo1aiG5DZiA99QsUldWgoKgCLo9Xpq9tY+eI9r3H4tqpHazNgMxq2aJ5xwGwbdEF8t/UO+IX5GOP12TWPZw6//qmPoQQUlEoKsjjadB9LFvlja3eXkhLTmDO3btyFHb/dC3VUg+mlvWKPfe1lnC7XqNhYGJVZI0ooVCIw5vm4e7lI0XeQ0NTGx3btGDVkC9JXFwMgMJSDmMmz8POTSt/6jp5BSU0aN4Z9m1cYFHHvsLUsyKEEEJIxZKVlYM7Dx7jzPlL2LbeQ2yzWiUVdVg3bIk2zm4wtaovpSgJIeVNZnoKzu73wuunAUxft96u6OnU9pfuo6GuCofGFfdny+J//2UlfE0s62HknC0VrhxfuU36fktOQRHaCsYSfc0ew2ajU9/xCHsRiLTkBJhaNYChqVWRY6+c2IbIt6LZbi4DR8K5y6/9gyCEkIpGRVkRnktmYs70cVjquQFb1nsyvxjvXDxUqknfBs074drpHfj47gUAQEZWHmqaOqhhY4cOfdxhYFLyDqo3fHcVm/AFgJdPHxR7riifYz/iQdBzTJk2Cw9uX2Kd+6fLINjYtYKsnALk5OQhK69QeCyvADUtXdbsY0II+VtkF3AQGCUn7TAkKjw0CNdO78TnTxFiCbfvrdu0A53b/UMPA0mp8Nl3DDMmu4vtIQAAjl2Hwq5lN5ha1QePVyHSAYQQCcjNycIdv0O4eMQbWRmpTL+Gth52bPm1jasrA21tXVa7IC8XLx7dQEunIVKK6PfQT/kSKCipoE7jNiWOycvJZpWfMDK1xJ5t60q4ghBCKhd1VRWs8ZiHxKQk7NtW+IHg2YOrSE36DHUt3R9c/XNkZeUxZ8N5JH+JhYKiMhSV1X74lDX5Syye3L2Ep3cv4t3Lh6USh+jecWjaiD37WEZWHgPGe6Bpu97FXEUIIX8vgZCDzPyKNTvmT+lbNMagmY3BL8hHanICEmI+4OrJ7XgZdFNsbNeOrdC0ZUf4nTkGDXVV8ZsR8hMEAgH6D3PHsf3bxM5xuTwMmrSSPqcQQljSkhPgf3Yvbl84wEr2AoCMjBw2bdkB3SqaUopOevr374NLZ/5j2p8+vMaRLQugb1wDVvUcpBjZr6FHyX8o8MYpZKYlM+016zZCVUVZihERQoh0TJ0whknECvgFuHPxvx9c8Ws4HA60dAygpKL+w4Tv4c3zMXeIPY5vX4ywF4E/nGGFP1ymo1mlKqatPk5fpAghhIjhychCS8cAVvUc4L5kL6Z7nUTn/hPFxt2/dQmNHVoi8mOsFKIklcFq751FJnwNTKzgvnQvfU4hhDD4Bfk44bMU81yb4dLRTWIJX7tmbXHr3kMM7NNVShFKV78enWFkKr6adPPiYQgOuICcbzYEL88kPtM3JysDMZFvwOPJQteoOhSVKu6T7Pz8XJzd78W0TS1s0KtbOylGRAgh0lPX2gINmjgi+IE/AODK8S2wa9kV+hLe4TQpIQa3LxwQ65eRkcPiFevw+vUbHNy1kX3yR0nh/2vbcxTSkj/job9oE7caNo0xcu4WqGlWrM0JCCGESB6Hw4G5tR3Mre1gVc8B107vRNjzB8jJLiyPFBb6BPYOzRDyNBhVtDWkHC2pKPLy8rHQYx1WLp3F9HG5PAyavAoNWzhBTl5BitERQsobAZ+PPV5T8Pj2ObFzFtYNsGTpMvR36SyFyMoPOTlZ3Lp5A7v2H8HdO3dw6+oZAEB+bg52LB8HGRk5WNRpgtqNWsPY3AZpKV8gEPBhVL0W9AzNynwvsp8lsaTvtVM+iHgVLFbTSk1TB3pG5tAzrA4Ty3po2q53haktdPv8AWSkJTHt0WMnUB0uQshfbdHCBXDuchNCoRD5ebk4sG4Gpq06LtFfeupaulDVqIL0b+rYTZyxGO6jXWFpbgIAcOnRFUMG9UN6SmKx91FR10Z2Zhr4BfkAgNbObujpNhccDgctuw7Fg2snoWdYHY5dh4InI1u2b4oQQkilY1m3KSzrNkVqUjw2LXRFdEQoACAu+j08VntjnecCKUdIKoKT565i6uRJiIp4xep3GTEfTdv2klJUhJDySiAQ4JD3bLGEb5MWHTBz5nQ4d25Nea3/MzMxhMeCaUhNH436De3xIewlc66gIA+vntzBqyd3xK6TV1RGtRp1UM++HRo07wwtHQNJhs0isT/J+1ePIz46XGyJbVpyAsJCHiDg0mEc2jgbhzfNk1RIf+zB9ZPMsbqWLiaNdZVeMIQQUg5069QKvQaNYtoRrx7jxpndEo2Bx5OBs+tMVt/hA7uw99BxZGRmAwDaOjaDgF9Q4n3GLtqJWet84dh1KIZM8YLLiPlMWQmzmrYYMN4DbXqMoIQvIYSQP6KupYdpq47DuEZtpu/CudNSjIhUBFlZOXByGYxe3dqLJXybtO4Jx65DpRQZIaQ8u3piG+5dOca0NbT14B/wCA9uX0JPp7aU8C2CuqoKHt0PwMQZi6FnYPrD8bnZmQgLeYATO/7FvKFNsXpaT9zw3Y2UL3FlH+x3yt2f5t3LRzDZxRrHti/B55gPP67DKCVpyQnM03gAmDVvCRQVaEd2Qgjx2bSa9cvw9B5PhAbflmgM9m17w9SyPtNOiPuIFYtmwLGdU2GMe48gM11Ut6phiy5QUFRh2lb1HGBW0xbG5rXRd+xSNG3Xmz4AEUIIKTMKSipo0Wkg0w4LfYJbd4OkGBEpzz7GxMPOwREXTh1k9esbm2PisoNwnb6u3CwtJoSUH0KhkDUhR0VNExcuXoZjMzspRlUxVNHWwIZVixDzMRz3Hj3F5FlLYdOgKbjcH/+sjXj1GMd9lmCua1NcPbldAtGKSLSOQr1GLTBw0FA0a2oHCIV4FvIKL1+9xruwMNy+dh7ZWekACrPi/md2w//MbsjKyUNTxxDauoao3ag1WnUf9sMNfCTh+wSGS/dOUoqEEELKFw01VWzdvgMu3dpDKBRCwC+Aj8cYTFt1DMbmtX98g1LA5XIxfNZGbFk8DHEfw5n+x/dvIL+gAHv37GL69I1rwG32ZuRmZ+LRrbNIT05Aiy6DJBInIYQQ8pVt88444bMUebmFq1I8PFej5bmjYuNi4hLwMPg52rZ0gIqyoqTDJFL2KfYzGjdpirjo90yfgqIKugycBMeurpCRlZNidISQ8izu4zukJScwba8NW+HQqJ4UI6p4uFwumtrVQ1O7eoDnAsQnJCEk9C2srcwhJyuL2/eDcO/+Q1y57IcXT+5DKBAw1woFApzZtxoNmkkufxh3DkwAACAASURBVCixpO+EafOwftVS1kwph8aiWVg7D5zAqKF9xGb25ufl4vOnCHz+FIFXT+4g4PJh2LdxgVAggEDAh1AohI6BKWrVbw4Vda3fii07Mx2hj2/BwLQm1LV0f5hU5hfk49LRzUzbqLoVUyeSEEII0MOpLWYu8GQ2FMnNzsSmha6Y6+0HdS1dicSgU9UEC7ZcxZYlw/Ey6CYAoKqxGV6EhiHk8V1mXLMO/cDhcP4/y2qARGIjhBBCvqesqoGm7Xrj1vn9AIDrF0/hTdgHWFmYMmPeRUShQYP6yEhLhoa2Hrr3HggLc3M0squP9o4OUoqcSEpeXj66OPdmJXz1jWtg3OI90KlaTYqREUIqgsDrp5hjLk8Gvbp3lGI0lYOejhb0Wtoz7Z5ObdHTqS3gMRcRkZ+w+8BR+J46gZdP7gMozCeeP7gO7XuPlUh8Ekv6jh7Wv8SlsSMG94Ka6kVc8LuEly9D8Pje9SLHxUa+xendK8T6ORwOqtWog1q2LVDbrhWq17T96SUtyV9i4b1gCABARU0L/3QZBNvmXaBT1QRyCuJPzy8f24L4aNHMseEjJfOHRQghFYnnkpmI+hiFw3sKH5KlJSfgwbUT6NBnnMRi4HC5iI0MY9qNmv6DeYs9mDZPRhZN2vSUWDyEEEJISdr0GIHbFw4wK2XmLvbAyUM7mPPLVm9ARloyACAlMR77tq1lzjVs2hrr1q5GC3tbicdNJGPUpNl49lC04tSijj3GLtwBRWU1KUZFCKkIcnOycOfiIaZt/097aGuqSzGiys/MxBDL5k/FsvlT0bnnIFw8Xfjf/6H/aahp6kgkBomWd/iRPs4d0Me5AwDgTdgHPAp+jvAPkfC/cQO3rviWeK1QKERk2HNEhj3HpaOboaymidp2rVCnSVvY2DkiLekzaxp7cTLSkuB3eCP8Dm+ErJw8LOs2Re1GrVBF3wTKqhqIjXqLcwfXsq6ZMXFUMXcjhJC/24EdGxBw8zo+vn8NAEhJipfo66clJyAp4RPTvnz2GHJzsph2/aYdoKquLdGYCCGEkOLoVDVBg2adEBzgBwDwPbIH9ya5Mysk/a9cLPbax/dvoGWzRnAdNQW7t3pJJF4iOYnJqTi0cxPTrqJfDaPnb6eELyHkpwReP4WsDNGeJjOmTZFiNH8fL8+luHruOAoK8iAUCiVW27dcJX2/ZWVhyixlWjRrAlZu8MF6L0/kZmeBy+OBy+WBy+OhID8fiZ8/iV2fmZaMwBunEHjjFGRk5VGQnwslJSXwfqGgfX5eLl4G3WSWBRel79CxVEuLEEKK4R/wCFmZaUxbRkZWoq+vqKQKNU0d5qHftwlfGVl5tOs1RqLxEEIIIT/SbcgMPL1/BQJ+AQQCPsZNmITg+/7gcrngybC/y3A4HFZ5PKFAgD3b1mDW1PGsshCk4rt+6wEKCvKY9rAZ66GsqiHFiAghFcmLRzeY4+qWddCtU2spRvP3sbY0Q+/BI5lVsJJSYbYinzVpFGI/RiDpSxy+xH/C59goxEW/x5f4aLx8E46lK73Rom3XIp90FuTnlnhvGxsbvHn3AQOHT/ilmJq3ccKBnRt/6RpCCPkbCAQCtO/WD+0cmyLxcwzTLycv2YdkcgqKGL90L7R0DFn9ekbmmLziP5hY1JFoPIQQQsiP6BmZoXX3YUz72cPb2HngBACgXQcnpl9GVh7rTobC6+gzWDdsybpHdIxkV9aQsnc74B5zrKisBlOrBlKMhhBS0Xy7yaOahmaJ5VdJ2di5yQsjxs+CVW078CQ0GapS/ClbW5phwczxuH31LJISE3DM9zL6D3NHVWMz1riSNmizNDfB1g0rUN1SlADoP8wdNes2BpfHnhBtUK0G1m/di5uXfSErU24nS/+WnNw8zFq0CgOGj4d/wCNph0MIqaBevonA1e92HJeTV0S9pu0lHouxeW3M3ngOdi27QVvPCJ36TcC8TX4wt7aTeCyEEELIz+jcfyJUNaow7UXzZyM7JxedOrZl+gryc5Ge8gXKqhoYMN6Ddf3FK0Xvj0L+XHZOHnz2nUAn54Go3/gfGJvVhIa2HoyrW6FR83bo0d8NfQaPQfM2TrC0sYVmFX2oqmuhVceeOHb6Evh8/m+97qdP0cyxtp4RJWwIIb+kWg1Rruvdq2cQCARSjObvpKSkgB3enngd8giBgYESec3KlbEEoCAvh97d26N39/YQCAS4+/ApfM9dhLKyMs4d34/w8HfFXquqoozHgQG4ff8x/mnaEJoahbOG+Xw+EpPTEBufAAGfj7o2lr9UJqK8i09IwtmL1yErI4O9+/Yz9ZMP79mMpi07Ii01BR/CX8HO3hF+vkegpKQg5YgJIeVd9WqGUFZVR2a6qG7U2EU7WR82JElVXRtus7yl8tqEEELIr1JUVkO3IdNxaONsAEBc9Hss8liHEa79WeMSYqNQRb8atHSNYFbLFhGvggEAe3duxrKF06EgLyd2b/L73oRHoU2bdvgU+VbsXGrSZ0R/eIugYq69efk0bl4+jeqWdeB3/gxqWlSHQCCAr98NeG/agvT0NLi49ML4UYOhqqIsdr2NjQ2+7nITE/kWOdmZUFAUH0cIIUWp9s0Kx8z0VIS8eod6NpZSjOjvJqnfz5X68SCXy0ULe1us8ZiHpXMnQ1b2xzluTQ01NLe3xWA3d5hZ1cXe/06Dx+NBt4om6tlYokHdWpUq4ZuVlYOGjewxamgfDBvYU2zDvPu3LuHl0wfITE/FratnMG/pailFSgipSFSUFdGr/3BW36aFrrh4hBKvhBBCyM9waNcHhtVrMe1N61ZARkYGsnLyTN/Z/V7Iz8sBh8NBOxdRnfrEzzFYsmKDROOtCJJT0rDviC9mLvDEgOHj4dxvOLy8dyM+IQlA4WSf12HvceP2Q+Tl5Ytdf/Do6SITvr/i/dsQNGvWDG7uM2FpYwuXru1w8/JpPL53HXOnjYWVdV28Cfsgdp3TN7O8BfwChIU8+KM4CCF/l2rmtVnt23cfSikSIkmVOun7u8ZOnIULpw7i/dsQDBvYEzFxCUWO+5KYgimz/8WmHYcq7NT4lLR0fIoM++nx2zd54VPs5zKMiBBSWSyaNx3augZMm1+Qj7P7vRAb9WdflgghhJC/AZfHQ6+RC5h2dmYahrqNQZMW7Zi+D2+eYOvSkcjNyUJd+3bQMzJnzq1ZsQD3Hj6VaMzl0ZfEFEyftxz1GrWAro4OXPv3wOplc3B4z2acOboHMya6wdBAH4YmFlBSVkEtSzO0adkENWrWxa17j1n3ateqhdj9O/Rxh8uIeejQexzsWnZD9ZoNYGJZD/UdOsCxmyt6DJ+Dti6joKKuzVyTlBCL3VtWI/z1M7H7xX6MQJt27fHxu7rMjW1rQ7OKPtMOvH7qT//TEEL+EkKhEH6H2ftRRUZ9lFI0RJIqXXmH0hD5IYLVnr90FXZvYc9wzcnNg8M/bRAWWriESlVVGUP7OUssxtKir6uNKnpG+BIvqhGlqWOAIVNW49n9K3j24CpSE+MhEBTWnsrOTMOUmQtx7MA2aYVMCKkgqlczwN2Auxg5biLuXDvH9Bfk55VwFSGEEEK+qlm/GWybd0ZwgB8AIOD6ebF9Sl4F38bGeQMxbvFe9Bu3FBvmDgQA5OflYsCAgQh9/vivLc8W+DgEzs7dERf9vsRx/IJ8xESxywB+fP8abVs6YML0BejVwwm5efnYd+gIa4yOgSmcXWf+VCxdB03DzhXjEPJQvN4ylycDAb+AaX+KDEOrNh0QeO8WtDXVC8dwuejaox/271gPAHh6/zIyUpOgoq71U69PCPk7CYVCHN++BP5n9zB9ispqGDKglxSjIpJCM32L0Lcfu1bWnq1eYrN9J81YxCR8AeDq1RsSia20cblc6FY1YvUt2XkTNes3R9+xS7F8331sPh+BOk1Ey4lOHt6Fx89CJR0qIaQCsrIwRbt2os3buDwZ6FezkGJEhBBCSMXiMmI+FBRVmLZQKBQbE/EqGOtm9YGRmQ3auoxi+iPDQ7Fqw3aJxFne7Dl0Cq3+aVZkwldJRR1GZtbQN65R4j0KCvKwznMBmjVpgNYtGmPftrWs8wkxHxAb9XOrJuXkFTBq3jY0bdeb6dOpaoJ+4/7F2uMh2HD6DSxqN2HOhb9+hjYduiK/QJQMnug+kjnmF+Tj7hX2prmEEPKthNgo7FzhLpbwPXnmAupa03eyvwElfYswyrWfWN/Cf0UzfXNy8+Dj7ck6b2Bg8P0lFUYtG/bGSnk52WJjegybDS63sJaxgF+ASVN/7ok2IYQEBYmWRlatZgFZWfkSRhNCCCHkW1q6hpi66hgs6zYtcdynD6+xYe4AtOrqCk0d0XeTXTu2FlmftrKKT0jCCPeZcBvcC9lZ6Ux/tRp14DJiPhZsvQqvo88wb9NFLNp+HYt9/OEyYh7a9x6LAeOXY9Ly/9Cxr7vYjOqiyMjIQU5e8adjk5GVw5ApXvDYdx+LfG5gsY8/WjoNgbyCEuTkFTB28S4Y1xDV3Xz26A42bN3PtBvWs0ZtWwemfenIJqR8ifvp1yeE/B2EQiEuH9+KJaNbIzjgAtP/NeHbqU1zKUZHJImSvkVQUVZEr0GjWH27tqxG3OdEAMCFy7fErhlcgafGT5kwltW+e/mI2Jiq1SzQrKNoBvTdGxewZed/ZR4bIaRi4/P5uON/iWlXt6ovxWgIIYSQisnY3AZTPI9gutdJaGjrFzsuOiIU81wdYNOwpajv/Rs4uQxizRitjB4Fv0CP/m4wqWaMXVtWs2ZEO3YdiplrT6Ntz5EwMLFkJXT1jMzQtuco9Bg2Gy06D0TN+s3QfehMTFl5DLoG1cVeh8vlgcPlQl1bDyPmboG2npHYmB/R0jGAvpE5uN9tEK6opIoJ/+6Hlq7onmtWLWMl7RfMF9V5zsnOwNFtC3/59QkhlRe/IB8HN8yC7x5P8AtEPzuUVCjh+zeipG8xJrqPFusb6Doa+QUFOHP+gtg5a0vxDwQVRbMmDVCnYTOmfevcftYPh6+cBk6Goooa05451R1vwyMlEiMhpGIRCAQ4dvoSho2dhuRvZqDUa9q+hKsIIYQQUhJzaztM9zoJHQPTEsfFRL6BurYe0756/hjadOqJrKycMo5Q8rKyctC55yA0blgHvkd2IzcniznHk5HFwIme6Dt2KXgysr90X4vajbF4hz+W7bmL+VuuYOZaXyzbcxebz0dg05l3WL73PurZt/vxjX6Rqro2nAZOZtpx0e9xxf8e0+7ToyPaOfVh2k/vXUZ0BJXeI+RvlpuThbiP7xAafBubFw/HvW9Kv3C4XHTpOQjBwc8o4fsXoqRvMVrY26JVx56svhsXT6Jlu244dWSf2Hhbe0ekpmdIKrxSN37CROY4KeETHt8RT2yraeqgv7sH085MT0GfAUOQk0ubMhFC2EZPmou+PTvhwI4NTJ+Ckiqs6jcr4SpCCCGE/IiaZhUMGO/B6hs7ZT6r/f7NU7jN2gRVjSpM351r52Dn4Ih5/67B9VuBEom1rMXGf0Hj5q1x8fQhsXMWtZtg6qpjaN6xfxFX/hwOhwNtPSMYmlqhes0GzKxeLo8nNku3NH0tq/eVSTVDVnvn1g2sduxH9iZ0hJC/Q0zkW6ye1hOTe9bCktFt4D1/MF4F32bOK6tq4NS5Kzh/8gCsLEylFyiRGkr6lmDHlg1iffdvXkRmeopY//OgAAwYOkYSYZUJt0Eu0DcSzVa+enI7crLEk9iNWnZD41bOTPvZw9vQ0taBY3tnrNzgg89fkiUSLyGk/Lp47Q52bVkt1m/3jxPV8yWEEEJ+k0AgwJ7VkzDR2Qob5g5knRs+pB8Gj5zEtIUCAcJCHmDyisOschCvngVi+cLpaOtojzmLxX9XVySZWTlwaOGIl0/uM30yMnJo2rY35nr7YeqqYzCraSvFCH9fyMPrzLFBtRqoU4u94Vw1I33IyMgx7eTPMRKLjRBSPjz0P42Vk7sh4tXjIs/rGZji1p27cO7cRsKRkfKEkr4lMK9uhNmLVv30eL/Th+DlvbsMIyo7PB4Po8eJPihGR4RirmtT3L92Qmxs37FLoaUjetqcnZmGW1fPYPbk0TCvUQMHj56VSMyEkPInPSMTI9yGQSgQAAC4PBlY1rVHx77u6DF8jpSjI4QQQiqu0Me38NDfV6zf/p+OsKtvg/0+62FmVZfpP39wLT59eI0Za05Bz8hc7LodW9eDz+eXacxladkqb3wIe8m09Y3NscjnOoZM9YKxuY0UI/tzWRmpzLGsrFyRYyxsGjDHD26cZNUwJoRUbs8eXMWe1ZORl5stdk5WTh4t2zvjYeB9NKxnLYXoSHlCSd8fWDJ3MkwtxD80yMkrYvDkVRi7aBcUlUV1bufPmohHwS8kGWKpmTZhBDSriGYCZGekYf/aaYh4Hcwap6SijjELfaCtbyx2j4zUJAzp74wR7jN/arOIT7GfsfPACYwcPwszF3jiddj7P38jhBCpGTV+JmKiwpm206ApmOJ5FN2HzoSSiroUIyOEEEIqNhU1zSL7z506zByPGScq2SYUCnF40zxwuTxM9zqJ1s5uMDCxYs4nfo6B74UbZRdwGRIIBNi+eS3Trmpiielep1FFv5oUoyo9VvUcmOPI8FCcL2IjcddhI5jj2Mi3CA8NkkhshBDpysnKwJHN7JI+fYeOxWX/u/gQFYOc7CzcvHwa1YyK3/ST/D0o6fsDcnKyWLBwiVj/7A3n4NC+L+o2aYvBk0WzgXOzM9Grdx+kZ2RKMsxSoaqijIuXrsCqTiNW/6YFQ/H03iXW02Nj89pYuuMWpnudRMe+7jA0rcmcEwqF2LVlNeyatsLz0DCx18nJzcOKtdtQ3bI2jAz0MHJIb+zcvAqrl82BtZU5/mnXrVJuMkFIZXfmoj+O7t/KtE0t66N9r4pb9oYQQggpT0yt6sN52GyxfnMLS4yeOAdR0XGYMdENM+avYM5lZ6Zh7aw+SEtOQO9RCzHX+wJU1LSY8+5jR+Heo2cSib80Rcd8Zm0U27nfRCirVp6Hy/Zte0FWXoFpT5jgjrw89kbbY90GQFlVg2nfvnCAOY6OCMWt8/vhu2clzh9aj2unfHD5+FZsWeKGxPjosn8DhJAyc+7gWqQkin7+LfBYhyN7t6C9owNMjKuCy6U0HxGhvw0/wXVAD5jUEE2L19IxhO43O+Y2aNYJjt1cmXZUxCv0GzJaghGWniYN6+D184fo2H0A05edmYbty0bDx2M08nJFyVgujwdzazt0HzoT8zZfwoAJKyDzTb3O50EBqGdjCUMTC/QaNAq7D57E/GVrYWxijrnTxrKWY30lFApx59o5rNqwvWzfKCGkVOXk5mG8+1jm4ZCMrDyGTPUCjycj5cgIIYSQyqND77Ho6TaX1ZeWnAAfb0+YGFdFkxbt4Tq4D1q068acT4iNxKqpzggNvg2ejCzs27ow5+JjPqCNY3PMX7a2Qk1ayctjbyStUaVyzWhT19JF536iWdsfwl5iocc61hhVFSV0dRF9Z3sScBE52YV/hnevHMWRLQtw+fgWXDi0Did3esB3jydCAq9h/rBmOLNvNfgF7CQyIaT8+/DmKfzP7mHadRo2w+LZE0u4gvztKOn7E7hcLqbPFH24Skr4hMAbp1ljerrNhYllPabtd/oQtu0+IrEYS9uRA9vRoIkjq+/pvcsIulV0vV4Oh4MWnQZgxpqTYsuqYqLe4eShHXAb3AseC6bhy088XT5xrOL+tyPkbzRroSei379h2k6DpqBqNQspRkQIIYRUTu1cRsN12jpo6xmJnXsYcBW29euibt36qGvXnOnPzc7E7pUTkJebgy4Dp6BmfdG5nKwMeCyYBkNjE5y56C+R9/CnCr6rRczhcKQUSdlp23MkqxbzBq9/8S4iijWmf59ezHFBQR5SEuPx4PpJ3Dy7t8R7Xzq6Cb77fn7vGkKIdGWkJePY9iXwmtGL2TtFRkYOu3y20cxeUiL62/GTxg7vB0MTUQLj0rHNEHzzYUNWVh4jZm+Cooqovu+/S+aLLcOpKNRVVRB07zpWrt/B6o9+/wpx0eE4s28VTu1ajvTURNb5ajXqYM7G87Br2Q0/om9sDiOzoguLhz4LxJuwD78dPyFEckJevcO2DaKlpAYmVmjbY0QJVxBCCCHkTzRp0xNLd92B+5I9UNfSZZ3Lzc7E5jVLkZuTg0bN2zL9mekpCAm8BgVFZYz/dx9rpSIApKckYs6cirHpahUtdn3jzPQUKUVSdmRk5dBv3L9MOycrAyPGTmKN+T75raikgtO7V+BnxHx48+NBhBCpS4yPhod7R/if2c2aoe86ejIa2daWYmSkIqCk70/i8XiYPE1UQysh5gP8z+1ljamiXw0ubvOYdkxUOFas2yapEEsdl8vFzEkjYFCtBtMXHHABy8d3wqWjm3H15HasndkbackJrOuUVNThNssbqw4HY/gsbzi07wPNKlWZ88bmNhg5dys69hmPTx9eF/naQqEQ67fsRE5uXpHnCSHlg0AgwIhR41ilXwaM9wBPRlaKURFCCCGVH5fLRe1GrTFzrS8at+ohdv7NiyCEPguCnLwi0xfoX7hakceTQd8xSzB6Prukmqxsxfj9raWpBnlFZab94mHF3JDuR2rWb4bGrZyZ9q0rvvDy3s20U1JSWePlFZVRu1FrsftweTJin82MzcQ3KyeElD/HfZayavhyuFy4DByJzWuXSTEqUlFQ0vcXTBw9GPpG1Zn2mb0rERcdzhpj37YXdA3NmPay+dMrdJkHoHBn369SE+ORn5fLtOM+huPkzqJ/2Kiqa6NRy24YPHk1PPbdx5IdN7Fk5y3M2XgBudmZ2Ld2KrM0oSjb1ntASUkRWjpVUbNOIzj1GoIlK71x826QxGZQ5xcUSOR1CKmoNu04iIcBV5l2sw79YG7TqIQrCCGEEFKatHQNMWzGemz1i8TEZQdZZR8y01OQl5vNtF8G3WRN2Kjv0JG1UjE1JQmCEj6flxdcLhcGxqLvXPeuHmPq2VY2LiPmQ1FZ9Gc0Y6Ib+ru6QyAQIOJDJNMvr6AEeQUl9Bu3FAPGL0fv0Ysxfuk+LN11Bxt930BVXZt1X4s6TST2Hgghv+dV8B08u3+Zade2dcDdwGCcOOgDObmK8ZCOSBftsPML5ORksWnzdvTq3h4AkJ+Xi/+852KK5xGmjhSPJ4NuQ6Zj54pxAAprK00YPRQO9g1R17pi1rfUrVoNH98XPSMXAEIf3/7hPTgcDnQNCxPm/mf34Ni2xUWOcxkxn5VEFgoESP4Sh+QvcXjzIggXThbuSisnrwAT81qoXsMKNWvWQp3a1mhYzwa1rS0gKyP6a83n8xEd8xnvoz7h8+cvyM/PR4GADwFfgAI+H/wCPnJycxATE4eYmBjExcXic3wsEhPikPQlHrnZmWjetisunPoPqirKYvES8jd7FPwCs6a6M20VNS2xXcUjXj1GeGgQ6jXtwNoAkxBCCCGlr5ZtC8zfcgVbFg9HWMgDAICSihqyMtIAAAJ+AY5uXYgRc7aAw+EwG7B+FfkuFDXrNMKMWbMxfGBP8Hg8ib+Hn6WoJPpszuXxynWsf0JNUwfOrrNweLNoRemRfVvQpk0r+J46wfTpGJiCw+FAVk4BLToPZPpzc7KQmhiPjv3G48jm+cw9a9RuLLk3QQj5LTfP72OOlVTU4HfuFIwN9KQYEaloKOn7i1y6tUPvQaNx/GDhUqiwkAd4dv8y6jt0ZMbYNu+M9r3G4MqJwtIOBQV5mDZzHq6ePyaVmP/UwCHD4blkZrHn8/Nyij33LQGfjxM7/mXtNvkteUVltHQajGf3r+Ddy4cl3isvNwdhoU8QFvoEV77ZW05GVh4GxmaQV1BAYkIcUpISIOD/2WzdO1fPokXrTrh13Q/qqip/dC9CKovklDT0dHFBTlYG09dn7BKoqIlq7N3w3Y3jPksAAGf3r4HTwMlo12sMbTZACCGElCEFRWU0/MeJSfrm5mSjeRsnBFw/DwAIDvDD03uX0KBZJ3A4HDgPZScUw0KDMWpoH2zc4IA7Ny5BQ11VKu+jJJEfY/H25ROmbd/aBbJyClKMqGy16DwQ+fm5OOGzlOkbOaQ3a0yT1uwSH0KhEAIBH+9ePMSmhUNhbG6DCcsOIvLtU9R36AB5BSWJxE4I+X3JCaJV1049B1DCl/wySvr+hq0bV+KK32mkJn0GABzbthhm1nZQ06gCoHBWa4/hc5AQG4kndy8CAK77nUBGZjZUlBWLvW95tWTuZAQE3GY+KH6Pw/lxAic3Jwu7Vk5ASOA1po/L5aGpY0fcvXGhcEx2JvJyczF11TEkJ8QgKSEGSZ8/ITkhBl/iohAZ9hyf3r+GQMAv7mVQkJ+LqIhXv/gOf+zZozto0aojbl+/WC4/+BIiSQKBAD37uSL6w1umr6XTEDT6/waOQqEQF49449yBNcz5gvxc+O5dCQDo0GecZAMmhBBC/jIy39RvlZGVw/7d21G3Tm1kpCUDAE7sWAabho6QU1BEi84DIRAU4Pyh9cj8/3kAeBF8D70GDMeVc0fL3QNbzzWbUJAvKjnX2nm4FKMpexwOB22c3ZCSGIdrJ33EzsvIysO+LTsJHB0Rio3zBiEjLQkA8DH8JcJfPkTXwdMkEjMh5M8I+Hwm5wQAWppaUoyGVFTl67d3BaGtqY6Zcxcz7eQvsdjhMRYF+exNx6zqN2OOhUIhnr0ovkRCeSYnJwvf4weLPW9Zr2mJ1+dkZ2LzQldWwldRSRX7j/piw9pVrLHXTm0Hh8OBlq4hatg0QuNWzujQZxwGTvTEXG8/rDvxEtO9TqL3qEVo3mkAatg0horan//wU1HXhpGZNWzsHOHQvi86D5iEfu7LWPWZQx7fResO3SpEnTNCyopAIMC0uR64efk001e9ZgP0GrkAQOHPOt89nqyE77ei3oVIJE5CCCHkb5abncUc5+flYtW6LZg8+hYCIgAAIABJREFUYwHTl/Q5GkG3C5fLcTgcOHZ1hcfee+g1aiHUtUUzya77ncCcJaslF/hPun71InNsY+cIfeMaJYyuPNr1HAUtXSOx/s79J7BWWwFA0O1zTML3qzsX/0P+N8lyQkj5dfP8flYN9gYN6kkxGlJR0Uzf3zRr8iic8T3NbGD07uVDHPdZgv7uHsyYGjbsOkkzZs3FwX07YWZiKNFYS4O2pjqc+w2H75HdYueeP7iKjNQkfI79gJzMdMjIyUNWVh6y8gqQkZXDwQ2zEP7ykeheuoY4c/YcmjVpAIFAgBq16uPdq6cAgCvHt6G+QyeYWNQpMg45BUWYW9vB3NqO1Z+emoi4qHeI+/gOcdHhEAoEUNfShbq2HtQ1C/9fRV0LPJ4suDwuuFweuNzC/+f8/7go9Zu2x7rZ/RH//w37ngTexIkzV9CnR8cixxNSmUV+jMWgYaNYs/5V1LUxcu5WyMjKASj8gvG1tE1RTCzowwohhBBS1hSVRSvTBPwCbFvvAV0DE9aYA+tnIjsrA45dh4LHk4G8ghLaOLuhgUNHrJjoxCQMVy2djcjISOzdvh4K8nISfR9FSU5JQ/jr50y7nn17KUYjWWqaOli84wbCXwYhPDQIHAD1HDrC0NRKbOzrJwFifekpX/Ak4CIat3KWQLSEkN8hEAhwbNsi3Dq/n+nT0TeGa/8eJVxFSNEo6fubeDwezp0+igYNGyMm6h0A4PaFgzA2r43mHfsDAAxNrdC4lTMe+vsCAO7fugQLMxO079oXh/dtq3BlAo7u24bhSsp4HBSI18/ZNXdn9G/wU/cwNLHALf8bMK9e+ISay+Vi186daPWPPQT8AggEfKyf0x893ebCoX0f8Hg/91dUVV0bqnW0S30XWnUtPUzxPIJl4zowH3w3eHujV/f25W6ZGyFlydvnIObOnISMVNGMEQ6XC7dZ3tCsUhUAkJOVwdqIUV5RGW079cCFUwfB4XCgoKwKm0atJB47IYQQ8rdp0LwzggMu4MUjf6bvc0yk2LgTPksRFxWGARNWMBtTa+kawm22NzbOHwzh/1e4Hd23Fc+fBuPc6RPM53hpuXQ9gFXu7W/bkExWVh416zdDzW9WlRZFS9egyBVWwQF+lPQlpBw7vWcFK+ELAKPcJ0NOTraYKwgpHmWt/oBuFU2cOePL6juyZQESYkUfqJyHzYaComjzL4GAj0tn/oNtYwe8DnsvsVhLg5ycLA7u2ohXzwIxedbSH1/wHaPqVrh755bYB8V/HBpi+FhRbamcrHT85z0Hk3taY/mEzjiwfgaCAy6wNoySJHUtXTTr0I9p3/P3g5GpBUaOn4WIyE9SiYkQSfkYEw/HDj0wcfRgVsJXRU0Lo+dtZ33huHB4A1IT45n2Ci9vxMUWbj4gFAqhVcUABiaWkgueEEII+UspKCrDfcleTFl5FNVrljw5I+DSYVw6uonVV7N+c4yYvYm12derZ4GwbWiLc5dulkXIP+39B9F3LRlZ+b+mtMOvGjBhBSzr2ov1Z2emSiEaQsjPuHluL6tuN09GFkPHTMXSuZOlGBWpyCjp+4fs6tvAoJrogwa/IB9RYaInqppVqmLa6uOo1aAF8/QcAN6/fYG27TogO6di1lRatWzOL403tbDB3ds3YWJctcjz3l5L0bnHQFZfQX4uPoa/xL0rx7Bj+TjM6G+Ly8e2/HbMf6JF54HgfDOzN/ZjBHZuXoW6dWrDZ98xqcRESFni8/lYsXYbbGxscOsK++FWfYeOWLDtKuo1FS2njI0Kww1fUfmX2rYO6NKhNYIDbzJ9jRy7s34OEkIIIaRsWdaxx/TVJ+EyYj5k5eSLHXd2vxee3rvE6rNt3gWz1p+BvrE505eWnIC+Lt1w535wmcX8I2lp6cyxkooafbYohqq6NtyX7BPb/0TAp/1JCCmPYiLf4vh20eQ6eUVl+F29ib1b19AqY/Lb6G9OKTC3rMVq12nchtU2MrPGRI+DWLLzNkws6jL9nyLDsGLtVonEWNpkZWSQlp6BsVPmo/eg0fDw2oLb9x8j7nMiIiI/4cXrd7j/6BkuXQ/Ahcu38PJpEKoZ6Rd7PwV5OVw4dRB7D5+Gtm7RNY8L8nPhu3cl7l4+UlZvq1jaekboPWoha7YDAGSmp2C0a1/06O+G9IxMicdFSFm4eTcItW0dMHfaWKSnJDL9yqoaGD7LG6PmbYOaRhXWNcEBfhDwCwAAXJ4Mtm/djM3b9zLLQjlcLpq07im5N0EIIYQQAACXx0PbniMx19sPekbmxY7b6zUFifEfWX1Vq1li1rqzsG3emenLzkpH925dpLZqMTUtjTn+dkVlZZSZnoL46Ajc8TuEm+f24fHt83j9NABhIYEIDw1C9PtXEPD5xV4vJ6+Af5wGs/qMzK3LOmxCyG+4eMSbKV3D5fLgs+cQ2js6SDkqUtFRTd9SoKQk+rBhWL0WeDJF/2fVqVoNU1cew8op3RET+QYA4L3WEzMmjoSqirJEYi1NqirK2LL231K959B+zujbozOu+t/D4yfP8PTZMzwI8Ef8pw/MmCNbFsKwei2YWkp2Q6hW3YahWft+CHl4HfevHcfLoJvMOd8ju2ETeA//Hf4PzZv8XH1jIi4lNR3y8nJQVCh+JgopO5+/JGP8lDk48d8OJln7VT379ug/3gPqWrpFXssvyGeOtXWqwt6uLnr37s301WrQAhpVin/wQwghhJCypW9cAzPWnMK2pSPx7uVDsfO5OVl49SSA2Z/kKwUlFYyYswXHti/GzbN7AQDJX+LQrkMnBAXeg56Olti9ylL6t0lfpcqV9P0Y/gL3r55AxOtgJMZ9REZaEkwt6yMtOQFJCUWXlVPX1kMjx+5o0ronjKrXEjvfqe94ZKYlIzbqLcxqNUT73mPL+m0QQn5RXHQ4Ht8+x7R79B+OIX27SzEiUlnQTN9SoKUt+qDz6f0rrJ3VFylf4oocK6egiK6DRfVrUxLjscRzY5nHWJEoyMuha0dHLJ4zCb5HdiMmKhxbdx1mzhfk52LrEjdEvn1ewl3KhpyCIhr+44TxS/fBddo6yCuKkvUf379G65YOOHPRv4Q7kKJkZGajQRNHaGqoQUlRATwZWSirqsPWvhWioov+t0R+nUAgQE5uHgDgzbsPGD1pLto59UG9Ri1gaGIBYyNDHD+4nZXw1dIxxOj5Phi9wKfYhC8A6BmZMcdf4qNx+vx1ZpNLALBv26sM3hEhhBBCfoWyqgYmehyAtr5xkeerVrMosp/D4aD3yIWo79CR6Yt+/wZtO3ZlPltISnq6qLxDZUj6CoVChARex8rJ3bF8Qhf4n92DyLfPmE2kP7x9WmzCFwBSE+Nx7aQPPNw7wnNyN8RFh7POy8jKod+4fzHF8yi6D50JRaWKtZk4IX+Dp3cvQSgUMm2PRXOlGA2pTCjpWwpGubmylv1HvHoMjwmd8fppQJHj6zVtzyrz4LN5DTIys8s6zAqLy+VizPB+GDF+FtOXlpwAz8ldcWD9DKnF1aRNT8z19oPJNzOO83Nz4Dq4PyUqf9G1m3fx9OEtpi3gFyArIw1PAm+iR+8B4JewbI38nEPHzkHfqDr09A1h/09H2DaoB5+NK3DtwnE8DwpATNQ75OWKfg7xZGTRoY87Fm6/hvoOHX5YL0/fWPQlUSgUYsRw0VJCRWU11LNvX9RlhBBCCJEwWTkFtOrqKtbv0L4vzK3tir2Oy+Nh2IwNrDEvgu9h6pzSXfn3I5EfRElNVXVtib52aRMKhdi3dhq2LBmOD2+f/vH9It8+w5rpvbBj+TisnNwdswbaYdVUZ4Q8vF4K0RJCysrnT6JyOXLyirCyMJVeMKRSoaRvKXBsZoebd+7D0ESU9MhITcTG+YNx5cQ2sfEcDgdOg6Yw7fSURDwIeiaRWCuybes9YP9PR1bfvSvHkBAbJaWIAF0DU0xffYJVHy0lMR6LPbykFlN5JxAI8D4qBu+jYgAAicmpUFNVK3Z88AN/zFq0SlLhVUrL12zFkP49kBAbhbSULwi8cxlZGWnFjreq3wzzN1+Cs+tMsTrWxTE2s4auQXWmnZIYzxzbt+0FOXmF338DhBBCCClVzTr2h6FpTQCFD3o7D5iEQZNW/vA6OXkFjF20C7qGohU+Pt4rce/hnycsf1ZEWChzbGRWcevTCoVCXD+9E4HXT/7ytUPHTMW8f9dgwvRFaNmuO+tzVkZaEoIDLuDD26dIS07A+9dPsGXxcBxYPxO5OVml+RYIIaUgNycLoU9uM23dqkWvxCDkd1BN31Jib1cXIU+D0LOfK25ePg0AEAoEOL17BVTVtdG0XW/WeE0d9mZlVMP0x3g8HvzOHIWWpjqrn18g2SVl34sMe47PnyJYfUpKP5co+xtNmf0vNq5eXOKYf7oMRsjD60hOKEwMb1y9BBPHDCtxM0DC9j4qBtt2HcDJY4cR/rr4h0oWtZtAx8AE6lp6UNfWg5FpTZhZ2/3yTthcHg/93Jdh47yBrH45eUV0oNpxhJAKhs/PR3pqYoWfRUhIcRQUlTHX2w8xkW+gqWMAZVWNn75WWVUDw2asx6qpzhAKBOAX5MNr/Sac+m9nGUYsIi+viK8FHpI+F1/2oDxLTYrH/nUzEPr4VonjZOUVkJ+bI9a/b9ta5lizij4WL1+HGzdu4NqF48Xe696Vo4h4FQS3WZsqdLKckMokNuotdqxwR+o3E2Zc3cZIMSJS2dBM31KkqaGG634nMGfJavBkZJn+M/tXQ/DdpkjZmexZdprfJTJJ0RISk1l1dPWNa7BmGkjDh7fPWPV3AGDO9PFSiqZ8SM/IxJWb9+C5bjsGuU2EXbO2qGpsBmU1jR8mfPWNzdFn9CIMm76e6cvPy8WGrbvKOOryI+jpSwwfNwPVLWujmlktOLkMxsoNPngeGib2s+Sr7JxcPAp+gVUbdqJh09Ywr26MVUtnF5vwVVBSxfCZGzF11TEMnrwa3YZMR8sug2Fu0+iXE75f1WrQHI1bObP6WnUfXmItYEIIKY+yMtIQEfoYuTlZOLvfCymJ8Xj1JAAZacnSDo2QUsPl8WBkZv1LCd+vTC3roWELJ6Z965qfxMrVObRsyxwH3/VDVkaqRF63OAI+H1kZqcjPz4VQKIRQKERq0mdEvA5G8pfYIq/5mYRvq+7DseboM/QYPgdcXvFztZK/xGHutLG4e/Oy2DkL6was705xH8Oxcoozbp7bK/b9hRAiWQKBAJsXDUNs5Fumz6q2HRbPmSjFqEhlQzN9SxmXy8XyhdOhrq6G2ZNHAygsrv/+1WOY2zRixn0/c+Ttu/ewtpRu8rK8yy8owNDhY5Cbncn09XdfBi5Xus8uGrdyxvVTO1gf6hzbdMCNa5dgbKBX5DXZObnYuf843rwNw4TRwypVzZ4zF/0xZGBfpCUn/Nb1LiPmgycjC4s6TWBZ1x5vnz8AAJzzPYk1HvNKM9RyJyU1HeOmzMGRfVtZm6l9fP8aF04dxGwUzuZo7tgBm9Z54lFwCFatXo0PEW/xJS4aAkHxtY8VlFQxdKoXDExrIizkAWzsWkFDu+i/n3/CZeQCvHl+H6mJ8dDSMUQ7l9Gl/hqEEFLWOBwOjMxqYdfKCQgJvIZLxzZDKBDA1LI+Jq04DHkFxd9+QEZIZVGncWsE3ToLAEhKiMXA4eNw5uieMn/dgf364uyxvQCAzLRknN7jiYETVpT5636VkZaM8JeP8P71E7x/E4zIt8+ZsgkcLhc8rgwK/r8SkScjiwHjPeDQvi/rHnk5xSfI6zt0REunwahZvzkAoH2vMahn3x4Blw8jPjoCyQkxSPwcjezvSnV9P6kIAGI+RuD4qfOYMXMm3oQ8AlC4KfbRrYsQGnwHgyZ6QkVNC1we7/f/gxBCfktGaiIS46OZtpqmDs6cOg4e/XskpYiSvmVk0hhX/LtgJjLTC588B9+9yEr6VqlaDTKy8ijIzwUABD4MhnPnNlKJtSKI+5yITl1dWJt9NW7VA5Z1m0oxqkKq6tqY7nUSG+YNYso8vHv1FE0dWuD61SushO7LN+FYvXYzTh87gLSULwCA874nEPE2ROrJ69KyafPWn0742jbvgpCH18DhcKGlawD7Nr1gY9eKOV/Xvj2T9I35+L6421QKh0/6YdKEsT+sUZ38JQ7nTuxDZmYG7t++WuQH/G9Z1LFH41bOaNCsM5RVC1cU6BqYllbYYtQ0qmDuxgt4+/wBLOo0Zl6TEEIqEkVlVWjrGSM6/CUAMA/iPrx9iikutQAAdZq0RY9hs6FnZF5pfocT8itsm3fBtVM78PH//07OndiPyI/LYWJctUxft1f39rC1b4XgB/4AgLuXDqNjH3do6xmV2WsKBAKEPr6Fu5eP4HngNQj4BUWOEwoEKBCISs/xC/JxYP1M6BvXgFmthkz/wIkrcGbfKjy9Vzg7V1PHAObWdujUbwIMTCzF7qtnZAYXN/bkh+ysdDy4dgJ+h72RkZpYZDyZ6ak4feY8ngfdxZhJc7B3+1pmhm9I4DXMGmgHWTl5WNu2RMN/nGDbvDNrxSohpOykJsWz2uf9LlWqyWCkfKCkbxlRkJeDto4Bk/R9EuCHXiMXMLNCeDwZGJhYIupdCABgy8bVGDdqSLEzQ/92vQe4shK+ispq6DFsthQjYtPSNcS01cexacEQ5oPvp8gwNGveDE49+6G6qSn8zp/Do7vXxJZSRYaHIvTte9SuaV7UrSuc/Px85pjD5UKnqikMTCygb2wBOQVF8AsKoKquhUaO3aGkUnJCUFtXVPs6Mz0FdwOfoFmTBmUWuzR8iv0MtzGTcfnsYVY/T0YWdZu0hYq6NsJfPkJM5BvW+cCAa8UmfA1MrNC4lTMaOXaHlq5hkWPKkpqmDuxadpX46xJCSGnh8QqTHi2dhsB3b9GbW4UEXkdI4DUoqqihZZch6NR3POQUFCUZJiFSJSMrB/s2vZjPvkKBABGR0WWe9OVyudizazvq17Ziyim8fhqAZh36lcnrCQQC7PIcj+CAC799j6h3L1hJX33jGhg93wdCoRB5udk/vXHutxSVVNGq2zD802UwPrx+ghdB/njxyB8xkW/B4XDALyj8TH5oz2a0bNkcaz0XoWP7thg90pW14W5+Xi6ePbiCZw+uwO/wRsxYcwoKSqr0MIuQMpbyhZ301dOhfQRI6aOkbxkRCASIinjFtJO/xELAL2A9OW3VfRj2rZkKAEhLTkC/QcNx59o5+gX7jcfPQnHp6k0EXD/P9GnrGWHk3G3QqFK+NvVS06iCKZ5HsHXJCIS9CAQAJH6OYW20UJybdx5UmqSvuoaoLpxZTVtM9/r1HYm/ql7TFjIycswSuUlTpuNhwNVK82/kxu2H6OHsJDYz2qxWQwya5Imq1UQzPc7u98LFI95MW01Dm3mopK1vjK4Dp0LH0BS6BtWhoqYpmTdACCGVXOseboh+/4pZws5W+BA3OyMN968dR4c+4yQbHCHlwLXTO1jtGmbVJPK6da0tUN2yDiLePAcAvHl2r8ySvg/9TxeZ8NXWNYB1PTs0btQEtW1qIS8/HxkZmcjJyUFiUhLWLp/PjFVSUSvy3hwO57cSvt/i8WRgbtMI5jaN0H3ozP8nwe8ym+vm5ebAtX8PAICGth46d++NN69f4fG962L3ivv4P/buOiCKp40D+PeKbqQkREBKRBBRVAwUsbEbFcTCwu7uRrC7W392d7ciKohIiwgo3RzH+weve6x3wJF34Hz+upmd3X0Og73nZp75hukDrKGkqoGOfcegbffh4EjJVCg+giCEy82hl3np6NIFV69egpW5iZgiImqj2pE5kUA5uXm0tpqmnsBSmebt+6CxgwvVfnb/GibOWIzfSeLdjEAS8Hg89BkyCk1tGmLBzAlUv4ysAmZuPI96DRqJMbriycorYeLyw2jUrPhSHUwmCzYtO0NJVYPqe/nyVXWEV+XuP36NW1fOUu283JwKXU9ZTRNtewyn2m+f34PX1AUlnFFzFBQUCCR8pWXlMWj8ckxff5aW8AUAq2btae3Y6DDqdQvn/mjeoQ+MzJuQhC9BEEQl4nCk4Tl7C7ZfjcD6k/4Y6LUMOgYNBMZlZ6Yj8O1D5OVV7PceQdQkL+/+h6SEH7S+6ly12KJVW+q1/7MbCA18UyX3eXXvPK3tPm4a3n0IxK+4GDy6dREbVs6D+5DeGDNiAKZN8EDP7i7Yv2sL7Rw9o4ZVEpswDAYD5jataBvt/ZH8Ow7H929FStJvnLt8G5t3HISSSh2BcalJCTi3dyWWjG6P10K/9CIIoqLMbFpBTYO/KjMqLAhdu/ZA7l+5JIKoCJL0rSKyMtJQLTITtVWngQJjGAwGhkxeDcUiv2h3+KyAvp4+tu45Vi1xSqrl67fh/Il9Av0d+42FspqmGCISnZS0DMYu2IVBE1bA2qEj6mgbgMFgQE1DF92GTsXKg88wdsEumDRsRp0TFPhJjBFXXFZ2DlZt3IFePbshOzOd6m8p5O99WXUZNAkKRTY+3O23Gmt9d1f4uuKWl5dHS/ha2bfHop130Lb7cKEzmeub2UJdS1/otWSK7MpMEARBVD4GgwEFJVW06zECi3beweLd9yBf5Eu2nKwM7FnlhQXurXD73C7a70KCqK1untlOa3fuOaRK7lNQUICFCxeCV2STWwAYOmQA9TovNwc7lnriZ/S3Sr9/YpHEtpvnZBzYsRG21hZCx+bn56N7j5608gnteowQWqe3KjEYDIyc5QeX/l5Ca/R+C/LHlWs3YWVhjv2HjkNBWU3odRITYrB/7SR8eH4LAJCXl4P8YuoZ5+dzBcrYEQRRPAUlVczyOQ9DM375wujwL1jts1OMURG1DUn6VqG6+vWp179+Ct+cSUmlDty86bXisjLT4D1uBHx3HqrS+CTZgb2C/9HVrWeGDr1HiSGasmOxOWjbbRi8Fu3F8v2PsfVSKFYeeobuQ6dQZSnkFfllEHIrOCNWXBKTUzFjwWro6hti/ozxtCRm+16eaNPVrcL3kFdUwbiFu8HmSFN986ZPQM8BHljnuxfpGZkVvoc4FH0obtrWFV6L90FNo67AuHxuHq6f2orlXh3xOy5a6LXO7lmOkE+1Y7Y4QRBETaCtZ4wZ688KzKRLTUrA+f2rsWpyt2L/zyaI2kK3Pj3x6eY2uMru5evrCwMDA5w5c4bq69LBEWMm8ff4yEhLxpYFw5Geklip905JjKdeGxoaljj2zMVbiAj5TLWbOHZF/zGLKzUeUTFZLPT2mIM1R14JnTRzYMcGOLdzQL+eLqX+zOJiwnB2z3J49zLDxB7GmNa/EZaNc8a+tZOwzKsjvLrWw8QexpjQwwhT+zaE33w3fHh+C9y8XJIIJogSKKtpYdrak9DS45d6PHJQcPIbQZQXSfpWIcP6/H+4cd9Dix1n3dwZYxfsgp6RJdXH4+Vj6oSR2LzjYFWGKJE+B4ci8lsg1W7pMhBTVp/AzI3/VbjmlbgwWSxxh1Cp4n8lwXPCLBgYGGDjynlI+vWTdty+XU/0HbWA2riwoowtm8Jjpg91PV4+F5fOHMTsKaPR1KGtwMyPmqRBIwcMn7ZB6Oze3Jxs7Fo5DpcOrUdsVEiJ1zm3d0VVhUgQBEEIoa1vIrSGaEFBARJ+RGDPqvHg5uWKITKCqB4u/cbR2ksXL0JGZna5rycrW/JGiKmpqfD09ISdnR0CAws/K+zYvBLd+w6jxiQmxODOf3uKu0SZJf+OQ3ZmGtXW0xP8gr6oXbvp93af4SP2zwFhX97REtdlxeZIg8fLx93ze6kEblZGKmKjQvDm4SXERn6lxhbweMjOSkfQ+8fYuXw0JvVsgAXurRATEVzc5Qnin8eRkkHDpu2odmZGWvGDCaKMSNK3CjW0sqJeRwR/oDZdEsamZWfM33odQyauovoKeDxMnzgKT1++r9I4JU3It3Bau2O/sTBr3BIycgpiiqhqFID/rXdlJUerQ2R0LJo0bY7929cL/J3WMWiAEdM3wX3G5krfbK2JYzf08Zwv0B/86U2NnUGgU88U4xbuBqfILOY/8rl52LbYHR9f3hE4VtfABI2btaH1RX37iLzc8n/QIgiCIMouPLj4Z7TIkAA8uXG8GqMhiOqlb9wQDs79qHZI4Ht07zMEcQnlm2nr4OAg0riQkBA4ODigT58+SE1Nxbnj+2Dd1JE6/vTWqUr7wuXpzZPUawaDgdYt7Usc/+7lY1qbLeQZr7qp1tEGk1n2xLO0rDxMGjbD2AU78f7J9RLHGlk0KfZYYkIMVox3waZZA3Dl2OYaPVmDIKpK0dI0JmbVVwOcqP3Y4g6gNhvU1xXrlhUuOeLx8vH5zX00c+pV4jmtuw4FGAwc3zKXOs936y60av5v1HVJSUvH2/cfaX0JMRHQLrLcodYoqHlJ35/xv9GuQ0fERNJnnRpZ2KHTgPGwsm9f6cneopz7jIaekQV85w2l9efmcSFbA2dTDxi7GHIKykKPffv8Gl8DnlPtOlp6mDVvCXp37wgTIwM0tG1BG2/ftifZXZkgCKKaWdq1xeUjG4s9XpHZdQRREwwavxzRoZ8REx4EAHhw8zyMje/Bc9xULFs4HcqKok/a8PX1xePHj5GYKFrS+M6dOzAyMsKECRMwZ84cDOlXWG4lPeU3Lh/dhN4ec0q5QvGyszJw6dB6PLh8kOpr0qI9LE2NSjwvNflXue9ZVfSNrTBt3WmEfn4DKRkZyCupQV5RBXIKypCRU0BmWjIS438gMz0FcgrKkFdShZpGXWjUNaSe60M+vkTUt48C17Zu6oiwkEBMXnEYER/uQVdDAWFhYTh9bD9+x9M3+Qv59BIhn17i2+dX8JixWeL3aSGI6iQrr0S9jo/7WcJIgigbkvStQrbWFtAzNMX3iMIlLwEvbpea9AWA1l2GICzoLV7cOQsAuHXtPPK4W8Fh194/Lh6Ph+37TmDJglkCDwix0SFo1LyDmCKrOkUTdL9/Sf6Hwt9JKWjbvhMn0+GwAAAgAElEQVStTpmhmS36jpoPk4Ylz3qoTOY2jujlPhsXDvJrYU+esQh7tq4t4SzJVK+BdbHH/p6hcuPmTdg1LiwBc+/RKwT6v6COWdk7wW1KzXv/BEEQNV1J/49r6hqhXQ/36guGIMRAWkYOYxfswhrvHshML1wBlpGWAr/1S3B4/w7MWbgMs73HiHQtNTU1+Pv7Y/DgwXj69KlI53C5XPj6+kJJ6QA0dfQRH1tYS/vWmR34FRsFc5tWaGDtAC1doxInWfB4PMRGfkXIpxf48v4pgj88Q3YWfUPGKZMnlxpPPWNLRIYWlp4wtW4hMRM7jC2bwtiyabHHjSzsBPpSEuMQFxMOdU1d9HSfDXMbR/gtoO/XMXDQEMyZOrYwOdyHPztx85pFOHTyAsaMGPD3ZRHs/xTLx7vAffomWNm3r8C7Iojaw9DMBoFvH0Jb3wSKqlrIyc2DtJTgJowEUVa1N4soITq4dMOh3YVJ37ePr8C57xgYmjYu9Tz7dj2ppG9KYjxOnLuK4QN7Vmms4pKbm4d2Lq54/vCG0OOadQ2rN6BqUvSD4vfwYPyM/w1tTXUxRlS8tPQMOHXshq+f31J9hma28F55VCxlN9r39sTrBxcRE/EFALB/x0b079cTLu1aVnssFfHfvlUYOnmN0GMcafqs3T8lLI6euoQ5s2dQ/dIychg5e4vQEhHi8vrhJbx7fAX5XC6YTBYMzWzg2HkwAt89QkJsJFp3HQollTriDpMgCKLCGAwG9E2sEP3tE9Unr6SKTv290K7HCLICg/gnaOjUw4wN53Bm11IEveeXN0j+HYc5U8YiKTEZa5bOEulaKioquH79Ol6/fg0PDw9ERQnfDPtvqampAAB5eQVkZWWCx+Ph3ZOrePfkKgBATUMX/ccuhk3LTuDm5SLk0yt8D/uMXz+jkPAjEpEhAVTS+m9sjjSmzV0Kt4GuQo9n5+TCe+ZinDy6j7apcdO2wsdXp9ioELy8+x9+RAaDy82DuqYuNOoaQkOnHkytW0JeUfiKs+jQT1g7tRfyuXkAAI6UNDR0DCElLYvcnCxq3PwZ42Fp3gC9ujkDKEye337wHLE/4+E+pDeCv67C7m0bkZb8m3b9jNQkbFvsgWFT1qOlywB8DwvElaM+yExPAYPJgIycIjS0DSCroAzr5h2gb2wFgqjN9OqbIysjFeFf3iH8yzuERkSXurKAIERBkr5VbEDfXji024dqr5/WG50HTkCXQZPA5kgVe55Z45ZQVKmDtP8vEZo3eyb69egEObna9+Hh+NkrAglfjpQ0OFIyaNVpEBq36CSmyKqWcUP6t+3Xbz+Ex9A+YoqmeMkpaXDu2hsf3/JnXOgZWWLiskNiq7PM4UhjxPRNWDPFFbx8Lni8fIx0d8eXzx+gIF/yJiCS5MmNEzC3bQ271t0Ejkn9lSiwtxX+sGvfridk5RSrJL7yiPwagAPrJtPqLH94cQsXD62j2qGBbzB5xRFxhEcQBFHpvBbtxakdixH49gEsmrTB8KkbIK+oIu6wCKJa6Rg0wOSVR/HF/ykuHlyHiK/+1LG1y2YjKCgIA/r1QR9XF8jKlP5Ftb29PT59+oSDBw9i7ty5yMjIECkOJpMBOTk55OfnIyuLn5xMTIjB7lXjYN28I74GPEdWRqpI12to2wIH9+9BU5via2wuX7cFu7fQv8RnMBho3MJFpHtUldSkBGyY0bfYZLaUtCxaugxApwEToKKuRTt298J+KuELAHm5OfgRKXwzto0+vujWqR1Cw6Ph2qsvQgILa517DBU6nObJjeOwtGsLnzmDaHFKy8rj0+v74OVzceXoJgwYtwROrh6lX5Agaqg62ga0dmhYFEn6EpWCbORWxTo7O6KZY0eqzePl49oJP6yd2hNJv2KLPY/FYsOl31iqHRMZgqlzllZprNUpOycXpy/cxNY9xzBn1jSqX1pWHu7TfeB7PhgbTwegj+c8iVkWVdnUtfRptawePHxcwmjxCA6JgK19C7x9dpfq09IzxqQVR4qdGVBd9I0botsQb6odExmCxas2iTGi8jnmNwe/474L9GvpGZW6+UfdemboOUK0mTPV5dnt06VurMeRkiY72hMEUWuo1tHBuIW7sflcELwW7SUJX+KfZm7TCrN8LsBjpi+YLP78oktnDsJtoCvU1TXQqn03DHIfjxXrtyE9I7PE67m7uyM6Ohqenp4i7xvBYDDAZrOhqKgI6SIrpwp4PHx4frPEhC+TxYZ5I3uMmTQHV28+RMCbJyUmfAEg5scPgT6Ths3Evqrp5b3/ik34AkBuThYeXD6E1ZO70WYoA0Dc9zCR7/Pk7hWoqWvCwtSISviKqlGzDvga8EwgzpysDPDyuVT77J4VSEmMK9O1CaImUVHXprXDIiLFFAlR25CkbxVjMpm4f/MSPMfPpD34fA8LxMENU0s816nnSOgb8x8y9u3YiC27j1ZZrNXl+p3HaGBhjYG9O2PSGDfExURQx0ytW6B5hz61NtFbFIPBgLElvxbu61fPSxhd/a7feYzmDs1pNXzVtfTgveqY2B9i/+g0YDzt38i9O7fFGE35ZGWk4sCGKcgv8mALFBbzn7zyKBo04u9k3cSxK4DCpcMDxi3BXL8rUFBWq9Z4S8LNy8Xbx1eodj1jS1g1ESy5ISMr/0/8GycI4t/CrIEbihJEVWAwGGjm1Asjpm0Q+H2flZmGZ/ev4dShHVg4ayIsG9khMrr4iTAAwGaz4ePjg5CQELRq1apMsUhJcaCuXgdsIXujyCuqwMyqKTp07Ydx3vNw6vwNJCYlISjgFXb5rUZXlzYiJZoH9BYswdeq86AyxVkVSvsS/o/UpARcP7WV1mft4Fyme6WnJpVpPADYtemBTgMmQEFZhPJ2BQUo4In2fgiiJmJzpCBTZPVmfILkbQpJ1Ewk6VsN5ORksHfbOty+9xQGRhZU/9eA5/gaUHyij8ViY+jktWD8/2Ejn5uHyWOHwcV1ELJzauYsuWevP8C1a0d8Dxe+PKhdjxHVHJF4Fd1Q4VuQv0T8uWZkZsPdazq6d3Ki7Tper4E1Zmz4D6p1dMQYHR2LxYZd6+5UO/jTO+Tn54sxItExmfzkQOjn17h5apvAmAZWzTBt7Sks2/cYXYd4Y8C4pfCYuRnL9j6Ek6tHiSVixCHw3SNkFHno37TZFx/fPsW9x69o417dvwAWm2xMQBAEQRC1WTOn3pi16QIcOw+GkqqG0DHR4V9g1cgKS1b7Io/LFTrmDw0NDVy/fh13796FgYFBiWOLys3NgaysLBQVlaChpYfBHhNw6fp9pCT9wpePr3Hn6hns2LwSA3p1grJi2UuXRUbH0NpOrh5o5tS7zNepbO17jqQ9J5fkRwT9s1nnARMwas42qGrUpfqU1TShpWcMjrQMZOWVoFvf4u/LUOrWM4OxZVM4uXpgye77WHfiHfwuBMN9ug9sWnZGl0GTMGL6RjCZTOgbN4SUdMnl2fqNWQiVOtoljiGImiw7KwPZmWlUW19XV4zRELUJqelbjdq3aYa3r57BsL4hMtIKl7BcPb4ZptYtij2nXoNG6D5kCi4f5S9bv335FPx2dsAs79FVHXKl4PF4iPmZAG1Ndew9cBTcvByBMbIKShjktRyWTdqIIULxMTS3oV7n5ebg6Yv36NC2udjiuX77MUaP9kRMZAit3651dwyfugFSMpJXL7e+RRPqdVZmGl68CUCr5rZijEg0HA4b2nr18fN7OADg6nFfmNs6Ct09WUPHAD3cCsugSMKHiOKEBfI3+lPT0EHPLk4AACdHe3hNXYAdPiuo45FfA1DPtPhd7wmCIAiCqPkMzWxgaGaDwTweIr76I+DFHfyIDMbHl3eoMekpiVg6bwoO7N2FOfMWwnNYP0iVsGt9eev9AgXIzkxBdvIPtHawAauSZue/fUcvadBpwHiJWNHE5khh1NxtsHfqhdM7FiMxIUboOHUtPXQeOJHWx2AwYNemOxo164APL25BTkEZ5raOYLHo6YO0lN+YNbgJrW/0vB3U6rS/Ne/QB8070PcwUVRWx8hZfnh66xRQUAAZOQUwWWwU8HhgMJlo7NARtq26lPXtE0SN8vtnNK1tZmospkiI2oYkfatZHXUVDPOciJ2bVwIAvga8wNeA5yUmfrsO8YaGbn3sXzuJ6jt+/ChmTBK9tpU4ZGRmY9XGbdjhtwFJv35CSloGuTnZtDFbLoaAwWCAwWRJ9HupKvpGlmCxOdRGCQ8ePxNb0nfJGj8smz8VBTwe1cdksdF96BR0GjBBYv989P6aZfA+ILDYpO+tB8/g67cdNra2WD5/qtjf08FDR9DVpR21Gd3+9d6Yv/W6RG3MVhYZafxZvnr1jGkfphbMmoz9O32Qk1X4wezO+T3wnL2l2mMkCIIgCKL6MZlMGJk3gZF5YYIwKyMV+9dNxqfX96kxUWFBGD9qCObPmYb+g90xc4oXTIyKn9Hr7u4ONzc3zJw5EwcOHACvyDNsSe7cuQMjIyNMmDABS5curfDz4N9lFCRtkkRjh46wsndC+Jf3+PzmPhLjf6CJY1dYNGkDNkeqxPcvJSML+3aC5Sv+UFRWx4JtN3Fi+wKEBb5BS5eB5UrQNm7hIvaN7whCnL6HB9LaDc1NxBQJUdtIZhanllu+YAZtE6xrJ/xKPce+rSscnPtR7Q+vHmHWorVVEl958Xg83Hv0Cm6ek9G0ZQfo6tfDqkUzkPTrJwAIJHwt7dqCzZECi80Re/JNXDhSMtAzsqTar16/KmF01dqyaQ0t4atvYoW5flfQZdAkif7ziQ79TGs3MDYUGMPj8TB78Vp07dgO184fw6pFM7Bhy/5qirB4ndq3woSp86n275/ROLp5NvKEzIavCYpuwqGkTN/IqK62Bhxa8ze1TPgRUV1hEQRBEAQhYWTllTB+yQGMX7wfmrr0HeqTfv3E7i1rYNbACI3sWmGw+wSs892L8CjBDdPKW++Xy+XC19cXBgYGOHPmTIXeS+xPek1iSfzynsViw6ShPXqOmAWPmZvRuIULpKRlKuUZX7e+OWasPwvfC8Fw814rEbOcCaIm4ebl4toJ/mQYDW19aNZRFWNERG0iuZmcWqyOugqGj+LP2g3+8Eyk3Uhd+o2l1Tva6bcWubl5VRJjWa3auAP1G1ihQ9vmOLZ/C94+v0erB1sUg8FAi479MXJW6cnuf0F9M36Jh88f3pYwsmpkZmZj9aadSEzgP7DqGDTAbJ+LArNoJVHgu0fUawUlVbRvQ58pHRkdizYdXbFu2RxqRjUAbFizDFnZ4k+ubly9AI3s+B9S3j25irVTeuJ7WGAJZ0megJd38O7JNaqtpKRMO87j8fDJn/+lhm5982qLjSAIgiAIycNgMNCoeQcs3H4T/ccugbqWHu04j5ePT++e4eSh7Zg9ZTTMGhihn9sYBIdECFyrvPV+U1NT4enpCTs7OwQGlu/ZK75I0ldb/99dks3hSIs7BIKokb74P0V8TBjVHj95uhijIWobkvQVk2kT6fV4iy5tKo6OgSncvPmzezPSUnDl1sNKj62sDp28gPkzxiMqLEjocT0jS4yYvgmDxi9Hb4+5mOt3FcOnboC8oorQ8f8aQ1N+0vdH1DfE/yr77rfl8cb/M4Z6ToJWXV3Mm+5FO9Zl0CSBml2SKvAt/99A0xbtwPn/7sw8Hg8r1m9Dw4YWeHrvqsB5CT+jsXKD4OZp1Y3DZuPMiaNQUOJ/mxsTHoQ1U1xx/eQWkZcqilPwh2fYsdST1qeiyn8/Wdk5mDJ7GX7H82fo2LToXG3xEQRBEAQhudgcKbTv6YFlex9hwtIDaNSsg9DZonm5OTh3bA+sLM3g2t8dh09dRFJyKm3Mn3q/vr6+kJIWPQkZEhICBwcH9OnTB8nJySKdk8florVzD7x9fo/qM7JoWuz4lMQ4JP/6SZWDyM3JrrGruwiCqDxFS+QBwJTxI8UUCVEb1YysTi1kYmQAIzNrhAUHAAA+vLiNVp0GlXpek9bdcGzLXKou5pt3/ujT3blKYy3Nxg0baG1pGTlY2rWFZt36MLGyR8OmTmSZTwkMi8z0LSgowO0HTzG0n2g77ZbVsTNXsHr1KvyIDqfKbvzNwKQRGjZtVyX3r2ypSQm0GbHxcbHYvvc4tDQ1sHjxInz2f0Ebr6SqAWkZOSTERgIAdvhtwNK53pW2kUd5mTUwxM3b9zDUzQ0RIYXlKvK5ebh0eAPSU5PQf8wiscZXmpjwLwJ9qiqFSd83/p/h6uqK2Gj+t9fSsvIwtxV9CSZBEARBELUfk8WClX17WNm3x++473j7+AqiQz/je9hn/IwOpcZxubm4fPYQLp89BCaLDfNGTdF/4GB4ebpBisPGgWPn4OezAb9//YK0tDQ4HI7In0XKUu93zaadeHL3Cq0vOuwzfOcNxe/472jVaRB0Dc2Rn8/Fh2c38eLuWRQUFEBeSRXyiqqIjwkDR1oGFratYdrIAS1dBkBWXql8PzyCIGosDZ16tHbg1zC0tG8spmiI2oYkfcXI2aUrdv8/6fvx5R1cPrIR3d2mlfxQUlBAJXwBICE+oarDLNGXkHB8fPuUaju5esB1xEzIyMqLMaqaRVO3PuQUlKl6qKtXrcKg3l0qPRH563cyRrkPRnZmutDj2vrG6DxwIpq2da0xs3z/fi+B/i8wYfQLoWNtW3XBQK9l+Pb5NfauHg8ASEyIRXBoJCxNjYSeU51aNrNBYMBbTJq+EAd2bgKPlw8AuHdhH0wa2kv0rsUcKcGZNPXqFT68zF2wlJbwBYCOfceCIyVTLbERBEEQBFHzqGvpwaXfOKodExGMG6e24u2jy7SN03j5XAT6v8BS/xdYsXAGePlc2vGcnBzk5ORAVlYWLBZLpOTvn3q/Bw4cgI+PD/r37y903K7tgqXqor99ol5fOLBG6HkZqUnISC2c2ZeXk42AF7cR8OI2bp/bhaGT1qBR8w6lxkgQRO3x+c0DWltbs454AiFqJVLeQYy8Ro8Au0jto2sn/LB/3WRkZaQWe873v0ooqKmrV1l8JQn8GoYRY6bC4q9kWavOg0nCt4wYDAZtk77P759j0arNlX4fv10HBZKkbLYU7Nv1xNQ1J7Fo5100b9+nxiR8AUBdW5/2sxNGVaMuvBbvw5j5O6Gspgkjiya0458+f63KEMtEVkYae7etw+Xr9yAtI0f1H/aZSc1OlkRFa40DgHVTR4wbWbhy4aP/a6pfW98Ek1ceQ7ch3tUaH0EQBEEQNZuuoRk8Z2/Bop130NJlAJRUNQTG5HPzaAlfoHCVV+uubnDu6wUtA7Mylc0qrd6vnLxC2d9ICVIS47F96Ugc3DBV6CoqgiBqn8T4GNy7eIBq2zs6w6ierhgjImqbmpPdqYVsGplj1/5j8BrlhtycbADAm4eXEBr4BsOnboC5jeDy55Qk+uZo2tqa1RIrj8fDs9cfcObcJdy5fQNBAa9Q8NdDk7SsPDS0Rd84geDr4TYN/s9uIjH+OwBg46pFGNjXFdaWDSrtHscOH6C1R87eAgsbRygoq1XaPaobi8XGiGkb0aH3KLy4fQbvnl5HUkJh3VgGk4n2rh7oPmw67YsIZTUtcKSkkZdbWEMt8EswAMmqL9vVpQ1WbdiK6RML6zllZ6bhiM9MTFt3WsyRCceRps/avXXtIhQV5BH/KwlxMRFUf9ch3rCwdazm6AiCIAiCqC209U0wbMp6FBQUIO57KILeP8arexcQ8dWfNk6jriFc+o1D8/a9qdVFXYd4IzM9Bae2LUDg23sil3z4U+/X2dkZ+/fvh4pK4b4k5/87g+Huo/HuheDeLCrqWsjKTKdWaMrKKcK2eWs4tGiJpKRkpKelQVlZGXl5eXhw7yYiv/GTyi/v/YfXDy9hzLwdaNzCpVw/J4IgJB+Px8OhTdORnZlG9c2bM1uMERG1EUn6itlIt77Q0dbEgH69kJ6SCABISvgB33lD0L6XJ3qOmAWpIgmVb59e0c5/9/Y9APcqiS03Nw9HT1/CxctX8PTBbfyOjyl2bN16Zug3ZhGkZGSLHUMUT0ZOAW7ea+E3fygAICc7E8NGjMT7lw9LrCUmqrDIGKp+NAAMnbwG9m1dK3xdSaFX3wL9xixCvzGLkJmegl8/o6CuZQB5RWWBsUwmExo6hvgRGQwA+BoSUt3himTaBA88fPQIl04fBACEfHqJlMQ4KKtpiTcwIXQNzWltL+9ZaNumNerUoa9E0KtPH0cQBEEQBFEeDAYD2vom0NY3gZOrB2KjQhD84Rlk5RVhYGIFLT0Toc/QcgrK8Ji9BXHRYdg8dwC4uVnlrvfb0MwYb5/fw7NX/igAEBkVA3NTIzSxtgAA5Ofn40fcLygpykNRXq7YZ3oej4fVm3Zi6fxp1KQEXj4Xe1dPwIqDT6GsVj2TfAiCqD4x4V9w7YQfvgY8p/q69B6KXt3Eu18TUfuQ8g4SoItza7x5/RY2zdrS+u9d2IfVk7sh6ttHqs/K3ok2JuDDuyqJyf/jF5g2tIHnsH64dPqg0IQvk8mCbasumLr2FBZsv0lm8FWQha0jHLsModoBb55g2dotlXLtvx9mVdQlL3FYWeQUlGFg0khowvcPTV1D6vW3kOBqiKp8Nq1ZTmuHfHxVzEjx0tIzgp6RJdU+f2Ifpni5w61/D9q4+B+SW6KCIAiCIIiaS8egAdr1GIHm7ftAx8C01EkTWvpGmLv1BhTVdcDlcgXKQhTnT71fAwMDnDlzBkDhvgytmtlgSL9uVMIXAFgsFvTrakFZUaHEeJhMJubPGI9Xb/yhVdewyL1yER36WaS4CIKoOSKC/bF2qivePblK9Wlo6+Pwnq1ijIqorUjSV0KYNTDEm2d3MWfxOtqmSD+jv2HDjL744l+4WZqpdQs4dh5MHf/y8S0yM7MrNZaDx8+jVcvmtGVGf7A50rC0a4sB45ZgxcGnGDN/J0wbOYj8DTlRsj6e86CqUZdq+21aU6baY8Wpp6dNS4LGRknm7NbqUrfIzNRP718hNzdPjNEUz7i+HnT0+XWzv34UvkmdJBClTu/tsztx8dA6bJ43BLtXjsPHl3cr5e83QRAEQRBEWSmp1MH0dWehpW+GzMzMSq33Wx42jcwx2msyrc/UukWlXJsgCMkR8dWfmtX/h8eYCaijriKmiIjajCR9JQiLxcLqJTPx+NlrGJs3pvrzcnOwY6knQv5f2qFVkaRvbk4Wrt95XKH77j1yFm6jvDFn8Tp07DEQI936IjOdv5mciro2Wnd1g9fifdhwyh+Tlh+Gk6sHVOvoVOi+hCBZOUX0G72Aaif9+omnr/xLOEM0TCYTeoamVPtn9LcKX7Mms7BtTb3OykjFrfvPxBhNyeya8Wt7h0hw0temZWf0cJtW4pjQwDe4cWobgv2f4v3T69i+dCSWju2Ah1ePICc7s5oiJQiCIAiCKCSvqALvVcdg3LAZMjIykJWVJfKsX4Bf77dPnz5ITk6ucDy8AnriOf5HeIWvSRCEZLFv1xsaOvVofSePHkJ+fr6YIiJqM5L0lUDN7Rrhk/8rDB05ierLzcnCtsXuCP/yHgbGVpBVUKKOHT56vFz3iUtIRIeu/TB6eH8c2+eHtctm486V07QHHccuQ7Bs/yMMmbgS1s2dIS0jV/43RojEqml7sDn82d4XLl+vlOsam5Ck7x/1zWwgI8vfcfnytZtijKZkTk78ki4/o78hNfmXGKMpWZfBkwX61DXrChnJFx8ThpPbFmDecAfcv3SgxLEEQRAEQRCVTUZOAROXHoRdmx7gcrlIT09Hbm5umZK/f+r9Lly4sEKrmP47y9+0l8FgQFZOoYTRBEHURPKKypjrdwV2bfil8KLCguCz/ZAYoyJqK5L0lVAy0lI4vGczPMZNp/pysjKwddEIxEaFoJF9B6r/yn9H8TsppcTrxSUk4sOnYNx9+BJ7j5xF70EjYWpmjnvXzwkdz2ZLYejkNRg6aTU4RRKQRNWTkpGFsaUd1X71snJmd5pb8GuMxcX827MGWGwOTBvzl8vdv3ND6AP62w+B2HvkLPYcPoNdB0/hwrW71V4Konvn9rR2yMeX1Xr/ssjLzaHNogaA3/E/RDo3Mz0Fp3cuQcTXD1URGkEQBEEQRLGkZGThOXsLBnotBYvNQU5ODtLT08tV71dPTw+nT58u/YS/hEf9wJcA/v4N7Vw9oK6lX+brEAQh+WTlleA+fRPUtfSovvVrliErO6eEswii7EjSV4IxmUzs3bYOQ0ZOpPoy01Pgt8AN9Uz55R94+VyEhUcLvcaqjTtQR0sX2prqsGlkDud2Dhg9vD8unDqA1KQE2lgWmwN1bX00dnDBjA3naLWDiepV9M83ODCgUq5poM//hZKZlvzP11ItmpwMCXyPuUvX044vX7cVTW0aYvTw/hgzYgDGeQxC727OGDB8bLXGaWpcD1pFNp6T5BIPV49vRtD7ipWbyUhNqqRoCIIgCIIgRMdgMNCuhzsW7biNtt2HQ0ZWAVlZWWWu95ueno5Ro0bB1My8TPV+b9x+SGt37DtG5HMJgqh52BwptOvhTrXjf0Ti7kPJ/axH1ExscQdAlIzJZOLIHl+kpabh8tnC6f6pSQk4s2sJbZyiojytHfg1DOMnTsPD2xdLvYe5jSNGTNsIlTralRY3UTEGJo2o1wmxUfjxMwF1tTUqdE11VVXqdUFBAbIz0yCnoFzCGbWbfbueuHbCD2n/L5ewYcV89O7RBQ5NrQEAx44IX17z4sn9aovxD3PLxoiLiQAA/I77Xu33F1VKYnyxxxSU1JCRnoyCUj40hXx6hYZN21VyZARBEARBEKLR1K2PQeOXo//YxcjKSAM3Lxcx4UG4enQTEn6EiryB9c/YH3BwcICzszP2798PFZWSN2n6/oO/OkpOQZnsn0IQ/wB5Rfr/Cw2M6xUzkiDKh8z0rQGYTCbOndiLdp16Fztm9Xo/nDh3DaMnzYFDm85oaGZcYsJXWU0TjkTEURgAACAASURBVF2GYMLSg5i04ghJ+EqYoklfAHj49HWFryklJUVrZ2WkFjPy3yCvqIJRc7aCyWQBAHi8fJw6y/83k5xUfO3cFeu34czFW9U2WzozK4N6LVeknrekadN1aLHH0lMT4TZ5LVhsTonXuHl6G+Jjwv/5megEQRAEQYgXi8WGgpIqVNS10LBpO8z0uYgh3uuhqqFX+slFiFrvNzODv6ktk8kqU01hgiBqpqQE/pc9SqoaMDMxFF8wRK1EZvrWEBw2G9cunICjUxe8eyE40/Dwns04vGez0HMZDAY6D5wIa4eOkJNXgqyCEhSU1ET+lpqofnW09SGroISs9MLE7OWr1zC4b9cKXfPgkaPUa46UNBRVKjZzuDYwtW4BBWU1qtQJi8WijqUXU2YgLiYCC2cVllyp38AK8xcugcfQ3mAyq+47tOTEROq1vJJald2noows7ODcZzTu/LdH4JisvBKat+8NNc26uHR4A8K/vC/2OotHtwMAcKRl0KxdLwyZuArMIn82BEEQBEEQ1Y3BYMC2VVfYtuqK9JTfOLh+MqJCRNuL4E+93wMHDsDHxwf9+/cXGGNhYUa9Tk9NRFZGqsSvysvn5uHRtaNITPiBugamaNK6G9n4myDKQEvPmHqdmpSAqO8/YaBHJuQRlYfM9K1BZGWkce/WJfQZ7ClywpbNkcaMjf/BdfgMGJo2hqZufSgqq5c74VtQUIC8vBzk53PLdT4hGgaDATNr/kZjZ4/tRdDXsHJfLzzqB25fPkO1HTr0g5S0TIVirA0KCgqQkZZMtevUUQcA5HG5yEwvfSZ0eMgnjBreD+aNmuLpy+KTmBWVmsxP+iooqZYwUvx6DJsB44b2kJWnz0hu2LQdWGwOzG0cMWvTBey4FonR87ZDSbX4Lx/ycrLx9OZJ3Di9rarDJgiCIAiCEJmCsjomrjiGiSuOQVWjrsjnpaamwtPTE3Z2dgL1fm/fuUtrZ2WkVUqsVYWbl4s9qyfg9M4luHNuNw77zMByr4749TMKAJCXm43H147hyY0T4OXnizlagpBMhmY2tPaVG/fEFAlRW5Gkbw2jrKiAc8f3YsOWfUKPM5hMGDe0h5W9E5p36Itl+x7CyLxJpdz7zcPLWOjZGpN7mmJ6/0a4cYokYqpS18HeVHI+LzcH3tPnlvtaq9b5gsvNpdrte42scHy1QU52JvK5eVRbU6MOAOD1+8+0JXV2rbtDVkEJDAYDbI402Gx6qYyQwPfo1rUzkpKrpmRGWmrRpK/kzvQFAClpGQydtBp5Odm0fraUNN4+vkr7eTdx7IZFO++WuGkkk8VGZloyLTlPEARBEAQhCQwaNMbcrbfQd/QSSEnLinxeSEgIHBwc0KdPHyQnFz7jvH7xhDZGVl6xUmOtTGkpv7F7lRc+PL9J6/8d9x27V45DRloyfOe74fjWeTjmNweXjmwUU6QEIdnUNHWhrKZJtWdM8cLLtx/FGBFR25DyDjUMj8fDhOmLsNtvDa1/6OQ1MGvcCvKKypW2DKigoABRIR8RGvQWXwOe036p52Rn4soxH7Tu6gZ5RcledlRT6Rs3RPMOffHizlkAwJ2rZ3DrgTdc2rUs87UeP+R/Y2hl7wRtfZNKi7Mmy8ulJyZDwyMAALv2HKT62BxpDJ28GjJyikWS8Nl4cuMEbpzaRpWGSEmMx7I1vvBZs7BSY8zOyaXNOpaX8Jm+AKBj0ABei/di22IP8Hj5YHOk8eL2Gby4fQYcaRn0GTkPcgrKYHOkYGrdAkMnr0GHPqNxYJ03or7RH3J4+VzcvbAPdXTqoV2PEWJ6RwRBEARBEMVr7twPdu164dLB1Xh55wwKCkTbm+BPvd/Ro8ciOiyY6m/a1lUiSzvweDw8unoElw5vKHZ/kJjwL9i9cixCP/P3JLl3YS/a9RgBFXWt6gqVIGoEBoOBxi064dHVIwAK993p338AosKCxBwZUVuQpG8NExv3Czs3rxTot2zSBmqauuW+blZGKp7fPovY6BBkZaQhKyMVsVEhtMLif8vn5iE1KZ4kfauQ6/AZePvoMvJyc1BQUAD34cPw8cM7qKuW7Weem5tDva5raF7ZYdZYCkpq0NY3wc/obwCALZtWY9JYd1w+f5Ia07iFi0CpAo6UDJxcPdDKZRA2zxtM1afdv8sPS+ZPhbKiQqXEl8flYtwU+gxvSSvvkJWZhue3zkBDpx4aNe9A9VvatcWsTRfg//wGAt89RlRIAIDCkg2ndiyixqlr6WHx7ntgMllISYwr9j5fA56TpC9BEARBEBKLzWajz6iFcOk/Hkd8piM86I1I53G5XOzYsQ1ycrLIzs4Gl8uFuU2rKo62dDweD9Ghn5GTlQ4VdW3k5mThxLYFCAt6W+J51g7O8H9GnwGcl5uD1ZO7QV5RBXUNzdHdbSq0i9QyJYh/WS+P2VTSFwCiw79ATl4JPfoOxe5t6yvtsyXxbyJJ3xpGQUEOWrqGiIuJoPXfOL0dQyYKJoOLw8vPR3DAcwS8uIWf0aEID36PnKyMMsejqFKnzOcQolOto4NOAybgytFNAIDY6DB4jPHGpTMHy3glsvuvMAwGA71HzsWOpZ4AgLTk3xjgNhJJv35SYxw69C32fCkZWXQfOhVbFg4HAKQm/8KqDduwdunsCsf242cCXPsMwtvn/FnaTCaLVuxf3AoKCrBnpReC3j8GAHivOgZzG0fqeD1Ta9QztUZeTjaV9P3b77jv+PbpFQ5tnIaUxPhi7xX47hF4PF6VbphHEARBEARRUQrK6vBachBRIR+wb814ZKWniHQeg8GAjIwMeDwetZKsuhUUFCDk00tEfPHH+QOry3WNvxO+f6QmJSA1KQGxUSEIfPcQ4xbshmmRPUwI4l8lK6eIxbvuYplXRxTwClcJZGWm4fSRnXj5/BEuXjiPxg1NxRwlUVORT881jLKiAm7fvo3GzdrQ+h9fO4rIEOG1X7h5ufgdF41vn1/j9cNLOL1rKeYObw6/+UPx4PIhfPF/UmLCV0paBmZWTTFwhBf6DBlF9Ssoq0vcrMPaqPPACTBp2IxqX79wAj9+lu1BsGh9WgbKt4lfbfX30rnnD/gPqkqqGrBo0rrE8y2atEE908ZUe5vPagQEhpQ7nvz8fKz324dG1o1pCV+OlDTcZ/hI1LK4z28eUAlfAHj94KLQcUpF6lQJ4zffrcSELwDkZGUgNvJr2YMkCIIgCIIQA4MGjbF031M0adOT9ixeEgaDARaLhfvnd2Hv6nEibSxcWXJzsnFww1T4zB5YasJXQ8cAKzdsL/e9stJT4bdgGF4/vFTua/ytoKAA+flc5OXlIDc7C7k52fji/xRXjvpg98pxOLVjEX7HRVfa/QiiMmnrm8Bz1hZIy8rT+iO/BaJ5U1tMm7sCPJ5oZWMIoigy07cGamRhgnfP72PDlv2YPWU01X9wgzcmLT8COUUVfPv0EkHvnyDo3SPERomegDIwsoCugSEUlZShpqqGjs7tMaB3VyjIF25MMHoifwajorJkbyhVW7BYbAyZtArLxjkDALjcXGzbcxgrF04v3wUZJOlb1ONrx6jXLDYH+fn8jcaaOfUCi1Xyf5MMBgPdhnhj+5LCzfEy0lLQtWs39Oo3GE1srCHiMz4A4MLVO5gxYwZCv3yg9atp6mHsgp0wMGkk+sWqGI/Hw8VD62h93z69Fjo2P59bKffMzkqvlOsQBEEQBEFUl0ETViI5MQFf3j0Ah8Oh9ogozVf/J1g2ujVadxuOLkOmVulqp7SU39i6cITA3gp/YzCZGOw+Hts3r4ayogI+BATg9OGdwscyGLBq0hKjx4xDZGQUsrOz8enTRzy8dQFAYanA/Wsn4VdsJOQUVZCbnYmUxHikJMYjNSkBUtIy6O42HfUa0J9/X9w9h2c3TyEjLRk52RnIzspATmYGbdPqP2TllWi1hwNe3MGKg09F/jMgiOpk16Y7Glg7ICTgBW6c3obvYYEACvdT8lmzEHLyclixYJqYoyRqGpL0raGYTCZmeY9CQEAAju3fAgD4GR2K+e5l2+RLSVUD9i3aon59I3Tv1hk9uziVOD4iIpx6LeoGBUTF6Rg0gJGFHVVD68TRQyIlfdMzsrDOdxciQj5XdYg11sdXd6nX0jKytBkVzUso7VCUlX17tOjYH89vnwEAxESGYNvGZQAABQWFUh8sY2LjMXj4KDy+c1ngmEWTNhg5y0/iZtW/fXyFehD549fPKORmZ0FKhr57dUEFv5WWkpaFpV0bGJhYVeg6BEEQBEEQ4mDdvAM+PL+JnJwcyMrKgs0W7WM4j5ePh5cP4OXdM+jtuQi2jl2rJL4LB9bSEr7SsvJQ19CGjKw8uvXojS6dnREXl4AW9rYwa2BIjVu9bIFA0teicXP0GzAI7kP7w6gefc8ZHo+HkRNm4tDOTVTfpcMbio3ry/unGDh+GVp1GgQGg4HIrwE4tFH0pNffm80lJsQgIy1Z4p6rCeIPJZU6sGvTHdYOzji9aymeXD9OHduycTWWzvUGi8USY4RETUOSvjXc1k0r4f/+DT6/fy7SeAaDAWU1TTRv1R4jhruhX08XcER86PgaGokHN/nLt+vWMytXzET5tOjYn0r6hn/9iEfP3qJNS7sSz+nZfxjuXT9H6yNfbBevaMJXz8gSevUtRDqPwWBg0PgV+B4WiOjQsiXYf/xMgGPb9gKJeTVNPfT2mAO7Nt0lbjZCQmwkTu9YLNBfUMADl5sLKdCTvhWt/T1qzjbaJnEEQRAEQRA1iYNzfxzZPAsAkJWVBdtmrRETGYKsTNH2VMnOTMeJLbNw5+x2uE3bBB2DyqvvWVBQgE+v+SXF6plY4uqVS2hoVvo+EnsOHBfoW75sOfq6dhQ6nslkYrfvGpw+slcgISsMl5uLY35zcOHgWmjrmyD0s/BVZWUhLStX4WsQRFXjSMlg6KTVqNfAGsf85gAo3D9m49YDmOU9qpSzCYKP1PSt4VSUFfH80W20dBL81ldFXQsuroOwZvMuXLp+H5+DQ5GZlY2kXz9x4+JxDO7bVeSELwAcOfEftWyGwWCgy6BJlfY+iNLZtekOKWl+Mu3gkRMljj9x7ppAwhcAEuNjkJ1Jlsn/oa6lJ7S/pA3chJGSlsHUtafQdfBkmFq3gIJS6eVP4hIS0bqdMy3hKyOrgF7us7Fk9100bdtD4hK+6alJ2LrIHempiQLHug2dKlAjGQAa2ben6lOx2JwSr69R11Cgj0dWFRAEQRAEUYMV8PJp7fevHiM+7ieysrLKdJ2E2Aj4zOxTqfV+E+O/0zaOW7J0hUgJ3xv3nmL9yvkC/XPmzEJ6RvHvS0qKg42+O6Ff3xxKqhpQVCncJ0ZFXQv1TRvB3tEZjh3okx4yUpOEJnwnz1yCecs2YPFq31LjBQA2WwocjrRIYwlCEjRv3xscKf7f2dlTRsPFdVCJ/8YIoigy07cWUFSQx9N7V3H/yWsEfw0FAFhbmcOhqXWl1n568ID/DXB9c1voGVlW2rWJ0snKKcLKvj3ePbkKALhx9Tx4vHVC/4yzsnMwY5o31ZaWkYOiSh38+hmFV/cvIDr0M8Yt3ANN3frVFr+kEpakBICmbXuU+VqycoroMayw7EZBQQHCv7zDziUjih3ful1HhAUHUG1DM1t4LdoDJVWNMt+7OqSnJmHH0pGIjwmj9TNZbAydtAotXQYKPU+ljjaW7nmA41vnIeDF7WKvr61vDJuWXXDj1FZa/zG/OcjKSEUzp95VWs+OIAiCIAiiKrDYHOgZWQqUxuJyuUhLS0MdLR3kZWeKvFHT3/V+87m5+G//anz79ArySqpgMlmwb9cTFratoaymWeIkgrAv72ntjk6tRIph+YpVyOfmCfR/C/LH1t2HMWfq2GLP9fIcDC/PwSVe/+Dx85g4biQy0pIFjrVo2xl7d2+DpakR1aeqoowpXu4lXtPIsmmJxwlC0nCkZODcZwyun9xC9d2+fArtXH7hwa3L1N5LBFEckvStRZwc7eHkaF8l187Pz8f7V0+otql12WoHE5WjiWNXKukbGx2GJy/eCy3xsPvgSfyI+ka1O/QejSc3+MuvYqNCsGaKK0bO8oOVfcl1nGuznOxMhH95J/TY5zcPYdCgkcglHv7GYDBgZGEHJpMF3l+zOwAgNzcXIYH8e9drYI1Jyw8Vm4QWt7jvYdi2xAMJPyJo/QwGA94rj8LUukWJ5yuraSI28muxxzV1jTB93VnIKShDx6ABwoLe4uGVwwCAtORfOLRxGh5eOYLhU9dDx6BBhd8PQRAEQRBEdRrktQzblowUWtbgV1ws5BUVoaOji7jYGJGu96fe77ObJyAtryKweXfQu0cAAF1Dczh2GQzHzkPA5kjRxrx9fBX71/JXb6pp6EBXR1Ok+yurFF8XV0pKqthjonIf0hs9u3bA+Su38fFTIIKCgiAlJYVhbkPQv6eLwHjvcSPw+MlTnDu2p9hr8grykZeXQ2b7EjVKj2HTISOrgCvHNiEvNwcA8PbZXfTsPwy3r5wmk2KIEpG/HYRIHjx5Q/uW1dxGtG+Aicpl1aw9ONIyVPvwsVMCYy7feIAFs6fS+kIDX9OWbQGFGxvsXD4a0aGfqibYGiDo3WPqF+ffjmyeiZUTOuPxtWMVukdxpQkKCgqo13pGlpi04ojEJnxDA99g/fTeAglfABg8YWWpCd8/mrXvU+wx12HToaCshoICHhSUVMHLF0yURwS/x/YlI2k/O4IgCIIgiJrAuKE9Fu24jSaO3YQez0hLw7evX1DPxBI6OnVFvm5ebjbSEmMhJycnNPkTE/EFp3Ysht+CYbSE8+1zu7B39XjaWGVV0fdhmFlkVWFRTCYLA/sIf49lpaqihJFufeGzZiFuXDyOS2cOCk34/nH68E68evsRh05ewKqNO+DcrT/t+LePL/Hx5d1iziYIycRgMODSfxwW7riDOtoGVP+96+ewauMOMUZG1AQk6UuIZOfe/dRrjpQ0jCyaiDGaf5e0jBysmvJn5l65eAZp6fwNIEZPnA3XLk5IT02inRf1jZ/YLbq8K5+bh8M+M8HNy63CqCVXwEt+qQF5RRVIFUmo/3H56Cbk5WaX/yalJCgbWDWH98pjkFdUKf89qlBq8i/4zhsisLSuvrktWncZCscuQ0S+VtdBk9BEyK7TmnUNqd2oT+1cgi0Lh+PxdeHJ9l8/o5DyO64M74AgCIIgCEIyqNTRhuecrRgwbgladRqELoMmwciCvmrv0/uXGDhiHJatWAlRv+ZmMBhgsViQk5ODrKzw5d4hH19g7dReeHH3HM4fWIP/9q2iHWezpeA1QXgiVxgnR3s0beUs0G9p01zk2cKVjclkwr6JFYYP7Im508bh9pXTOHLyIm1iRUSwP5lAQNRIGjoGmLL6BG3vmOULZ+DD5+JXUxIESfoSpfr1OxlX/uOXBrBt1QUcKcHkGFE9bIskzeJiItC6Q1ekpKUjJDQSB3dvFhjPkZah1Yht4uCE4aOnUO3vYYG4eebf/IawaGmH9p16YuHyDdCqawhpGf6uvmnJv/D6waVy34PJZBV7rMugSfBefRwKyqVv+iYOBQUFWDbOWehs6PrmTTBk0qoybTTHZLHgPsMHJg2b0frjf0Tg2a1T+BrwHI+vHS31Oj8ig0W+J0EQBEEQhCRhMplwcvWAm/dauA6fgZkb/8PUNSdpY06fPI4pkydh1fptyM3NFTlJyWAwwGazoaCgQJVYkCsysSDueygObZyGW0We/dlsKUyetRTB38Iwc7Jnmd7LsiWLwGTxK0YyGAxM9p5SwhnVz22gK+wc2lDt2+d2YeZgW5zbt5Jsbk3UOOpaehgxfRPVzs3JxvbdB8UXECHxSNKXKNXGLXtovxCdeo4UYzSETQsXaOubUO0Prx6htVNneM+cT83YZTAYaObUG2Pm78TyvY+QEBtJje/Q0QU7/dZAv7451Xfj1DaB8g+1XV5uNuJjIqj25bOHYGlhhp8x4cjMSKP9fO5d2FfuGQGMYmossdgcuA6fARZLckurv7z3HzL+mjUup6CM0fN2oP+YReW6Zm5ONswatxCoKXfMbw585gwSGK9brwHmLdsAOQUlqu97eFC57k0QBEEQBCGJjP/aYCz442swGAxMmTASHBkFcHmFm76VJfkrLS0NBQUF5GalUxNA6pvTV2tKScvi4Ilz8F27CEb1dMscdxfn1jh38TrGTZmPFeu34fX7Txg9vH/pJ1YzW1v6bOqM1CTcObcbS8Y44dmt00LLihGEpLKyd4KFbWuqHRT0WYzREJKOJH2JEuXn5+PgPv43wfXNbWFo2liMEREcKRl4rzwGzbr1qb6Pb5/i+nn+cvgmjt3gMXMzbFt1QeS3j+Dlc6ljfVy7QlZGGnv27qX6uHk5uH/pQPW8AQmR/DteYIO1wf164PT5G2AymRg7nr+pRUzEF0R+/VCp9y/LDFlx+fD8Fq2tW98CC7bfFFqiQRQPrxzGvOEOuHrct9SSItZNHVFQUIDvEV+xcuF06BoYAwCYLDbivoeV6/4EQRAEQRCSiMXmoJlTb4F+Xj4X6Sm/kZ2ZjqysLGRlZYPJ4oh8XQaDARkZGXBzMtDWpTc69HKnjimqqOPcxesY2q97hWLv1c0ZO3xWYP6M8bBrbFmha1WVUR5DhZZxS0mMx5HNM7Hau/s/vc8JUfPUNTSjXocGk6QvUTyS9CVKtOfQGfz8Hk61ySxfyaBSRxtT156Clp6xwDEmk4Uug/gJy6IzeNlsKdjbNgQAdGrfCs0cO1LHHl498k8tcVJRF6w1lpuTDbfBvfHflTvw9vKgPRyGBb0TGF/b2bbqQpWnsGvTA/P8rkK1jk65rhUa+AYnty9Ebk5WieOkpGXQvktfnDp+mNZv2cgGQOGHn5iIL+WKgSAIgiAIQlK5ea9B8/Z9SpwYkJ/PRUpyIrKysso065fFYuHd8zuID7yLF6/f4+nL94gMD0P3Tm0rK3yJ1sjCBC/f+GP5uq2Yu3Q9LBo3px3/HhYInzmDER1KkmdEzaBryF+V+iMqFBeukQ0KCeFI0pcoFo/Hw7q1/AL/qnV00KRVFzFGRBSloq6FqWtO0ko9SMvKY+QsP+gWKU2goq5FveZycxEb94tqz503h3qdlZ6KJzdOVHHUkoMjJQNT6xYC/Xk52Rg6sDeevX6P+qaNqP7IkMqd6VsTNHPqhVWHn2Pzf0EYNWcrmKzi6xOXRtS60UdOXsDda2dh3oA/k53H48HMjP9tdtz3MLIBB0EQBEEQtQpHSgbuM3ywfP9jWDvwJ2aoqGsLjOVyuUhPTy9TvV8AuH//Hrq4tMf1y+egrKRQKXHXFDZWZlgwcwJWLZqBT++eYdueY9Cqa0gdz8pIhd+CYfgZ/U18QRKEiKwdXCAtK0+13YcNwZv35EsLQhBJ+hLFOnL6EsK/fqTaLv3HgcUWfTkRUfWU1TQxbd1pOPUciTbdhmH+1uuwa0NfoqWupUdrB33lL43v1aU9lcjTrW8Bk4b2VR+0BOntMYe2+cQf2Znp6NuzO+rq6lN9ge8e43fc9+oMTyIoq2nRNrYrj5iIYHx8eUekscMG9cLHIP7D9tY9x1BHSxfrlvG/oMjOTEN21r8zK50gCIIgiH+HupY+xi3cgxkbzmHJ7vtYfeQltl0Jh76JlcDYnJwcpKenl6neL5fLha+vLwwMDHDmzJnKDr9GYDKZGD9qCMJCgtBzoAfVn57yG1sWjkA+N0+M0RFE6eQVleHcZwzVTkmMh4uLM46dvSLGqAhJRJK+hFA8Hg+rV66k2kqqGmjpIrjJEiF+isrqGDB2MQZPWAENnXoCx9U06UnfkG/htLZlo8KNDWLCg3Bq55Iqi1MSGZrZ/I+9uw6LovviAP7doDsEUUDBAAET7MDAbhC7xe7uLkxsbAzU1+7GxEAQLEAFBUFEFBHp2vj9wc+BcZcScInzeZ73efbeuTNzhleW2bN3zsXCHdcxYdlBbL8YjHa9nZhtifGxiAj/lNWOi8GW+QMQFvS6zN8IisViPLpxAkdcZuHI5ll4fPO/Qs2sfXTjeL7Hpqel4tqtuwCA/UfPYOq4YYj9ESUx7peUPkIIIYSQsoDD4aCahQ30DU0B/D9JufQgGrXpJXV8SkoKROBAQ1tf6nZp4uPjMWrUKFhbWyMwMLBI4i5tlJUVcfbYPnTsMYDp+/k9Ar6eV2UYFSH506X/ZDRs3ZNpx/6IwmDH7rBpbocrNx9ASAsUElDSl+Tg1IWbeO//nGnb2Y+WWvyelHwKispQVddm2h9D2ElfLl+eea2X7RGn8qJSlZqo3agd+HLycHBaBLO6zZhtv2J/wLxOI6b9IyocztO6Y5qDJQ5tnF5mayDfvXgQx7bNw9Pbp/HU4zTct87F6b0r/jrxK21FZGVVDVQ1q48atZuw+uUVlNCrSwc8fvYCE5wGSyy295uSstpfxUIIIYQQUhpp6uhjxOytWLTzpsSTahbWtpi39RoWut6Bw+hlkFdQyvdxg4OD0aRJE9jb2+PXr19FHXaJx+PxcOn0YVYtZbcNU3Hh0HoqJ0ZKNC6Ph2EzN0sssu375A66d2qN6rXqIuD9RxlFR0oKSvoSCRkCAebNncW0VdQ00bLLYBlGRAore4mHG9cuQyQSAQBSUtMQHhrMbNOrbCKxb3nC4XDQtL0j047+Go642B+oaWnNGifISMOzu+ewY+nwMpf4jf4ajouH10v037t4EKf3LP+rY7brNYpVGsa0VgMs3HEdc10uYLrzf1DMlsC1bd8dZjWqYt8hd2Skp0k9nol5fWjqSta3I4QQQggp6yqbmGPyysPo0Gcceg2fiymr3DFpxWFUMDAGADS264NlB5+iSft+4HDy/3Hfw8MDpqamWLx4MfNZobyQl5eDpjZ7keebp3biiMusMv+EHyndeDw+Rs3dAccxS6GsqsHa9ik4ALatWuHF67cyiq5oCYVCfPn6HeERUQiPiELY568I3PU2WgAAIABJREFUCfuCd8GhCAwKQXo6/a5KQ0lfImH1hp0I+5D1iE+HPuOhmK1IOCl9rBq2ZV4HvPTCxBmL4TRxDqqbWeFXzDdmW3mc6fsnm1bdYWJen2l//RyC6jXN0bHHAHC47LfMjwE+WD+zN4JeP/3XYRYLsViM49vnIyMtVer2e5fcEBb8Ruq23OhVNoHTvB2oWacpug+ZiRnrTkFbrzKAzER7ncZ2zNinD2/jc+Q3WNevn9Ph0KRdnwLHQAghhBBSVpjXa4HeI+ejY98JqNWgJWuWKgDw+XzYOy3G4j33YFLLJt/HLc/1fmfMXcxaGAsAvDzOYNfyUUhNSZIYLxQKEPfzOyLDgpCUEPevwiREApfHQ9teI7HigCfa9XYCX06B2RbzPRJt2rTGvUc+Moyw4DIEAly/8wiTZi5B87ZdUaWaBZRVVGFYSR9VjAxQxcgAVY0roVpVQ9SqaQpLs2owNq0JHz9/WYde4nCK65EFDodjCYD5ifv7+8PS0rJYzpVfjRo1wrt37yT6zc3N4e3tLYOISp7IqGiYmZkhMT4WAKBXyQSLXG9CLtsbByl9UlOSsHxMW/yKybkOqqKSKpbtu1ugWmBlVUpyArYvGoLQdy8AADy+HN69/4AKFbTh+cQXE8aPw+fQrPcSLpeHkXO3w7plV4ljzR9UX+oMAR5fDmuPvSi+iyggoSAD7tvmwcvjDNPXo+9wjBszCl3sWjJ9Gjr6mLflMjR1iu7fSdAbL7jM7ce0FRSV0avfMJw5tl/iZ8eXU4Czuw9U1DT+PAwhhBRIdOQnbJjeTeo2FTUtLN3v+Y8jIoSQ4hHo+wAHnceDyy3YnK8aNWrg6NGjsLCwKKbISpaExCScvnAD0yaPRcKvGKZfVUMHRtUsUcm4BsI/+CP0/UsIBelM+QcOh4PKJrVQo3YT1KzdBDVqN6F7VSIzqcmJOLhhKmshbS6PjxFjp2PbhhVQVpZ92c6oqCjUrFlT6jY9AyN8jYxAcmJ8gY+rpqmD8xeuop1t48KGWOwCAgJgZcVaoNNKLBYHFPV5aKYvYZk8cwGT8AUAx7FLKOFbBigqqcDBaVGO2w1NLTBz45kyk/BNSYpHUkKc1Fqy+aGkrIZBk52ZtlCQgYdPfKChpopuHW3h+eAujEzMme0ikRAH10/Byyc3Cx27LKSlJmP3ytGshK+WbkXs27kZndu1gGHVrD/IcTHfsHB4M+xeMRp+j64iI136rOCCqGHVGEbVsr4UTEtNxsnDrlKT5Z37TaSbaEIIIYSQAjCv3xJJSUlISUkpUJ3a8lbvV01VBSMHO+De/YdMuQwgc0Hnt34PcefCAQT7P4MgI431cxSLxYgICcS9iwexZ9UYzBnYANsWDYHn9eOIj42WxaWQckxRWRVjF+6GjW0Ppk8kFODArg2oUas2rt16KMPo8hYR9vGvEr4AkPArBt27tMeFa3eKOKrSi5/3EFJeeHr54cJ/bkzbqmFbVlkAUrpZt+oGX8/LTGJSSVUdZnWawtKmDZq0cwBfTj6PI5QOJ3cvxf1Lh5i2iroWdPQMoaNvCG29ytDRN4SOvhFMzOtDTUMnx+NweTxW26BiVp2vKkYGeP3CG1NnL8GRfVsAZP4h3e88ETPWn4KpeYOivahiFPX5Aw5tnI6w4NdMn6qGNk6dOQ89XS0AQJ9+g7Fl3RJmu0gowCuvW3jldQtKKuroMXQWWncf9tcxcDgcTFjmhmPb5sHf567UMa17DEenvhPKzBcThBBCCCH/yrM7ZwFklm9ITExEfZumCAkOzHft3t/1fidOnIjly5cXeMZwaWNd1wLPvJ6ifccu+PjuVYH3FwkFeOv3EG/9HuLEzoUwr9cCAyauQgWDKsUQLSGSeHw5jJi1BTr6Rrh9ZjezOHZk+Af06GqH5Wu3YOGsCTKLT5jPyVkKisqoZtkQlaqaQc+gKnT0DZm8hVgsBpfLA4/Ph+f148wEppTkBAwZ2BefQkOgo0WThSjpSwBkLug1apQT82bA48vBccySPPYipQmHw4HT/F0IfvMMSspqMKpmKZHYLO1EQiEeXnVn9SXFxyIpPhbhH9i1aBUUlTFoijMatu4p9VjfIkJYbUvzGqy2poYaDu91gaGRIdYsyVz4UCjIwLGt87Bg+1XWwmUlkSAjHbfO7Mb1E9shEKQz/RUqGuHa9euwqZc189bFeTFsbOpj29Zt8HnswZrZkJIUj5OuS2DTqjtUNbT/Oh5NHX1MXO6GsKDXuPbfNrz2us1s09DRR4+hs6CUbcE3QgghhBCSPzHfIljtC+fPQUmBh6FDh+Lx48f5Osbver9ubm5wcXGBo6Nj3juVYibGlRD4ygdHTl6Ej48v3r4LROiH94gM/wiRUADrpm0xZ84c6Gpr4dlzP9x/8AC+Xp6I+f6FdRyxSIS3fg+xdmo3jJqzHZY2rWVzQaTc4fJ46DV8DqxbdsHRrXPx+UNm9VWhIAOLZk9E4Nu3OLTHBXL8/KUFvZ6/hucTHwQFBeHDh2CEhX5AdFQEMtLTIBQIoKGti4ZNW6NTpw4wqFgR8nI8tGnVBBpqqqzjeDzwwrhx43I8j7yiMmy7j4BVo3YwMauXr8lpVc3qQ0lFHfcuHgQAJMb9xPotu7Fu+dx8XVtZRjV9QTV9AcBxyFiccd/LtDv0GYfeI+fLMCJCCk4sFmP2gPpIylaiJDdcHh8Tlx2EhbWtxLb3r55gy/wBTHv89EXYtXml1OOMnTIfe7dnlYPoNXwuOvbN/Oa0JNb0jf4ajj2rxuBLKHsl1yrVLXDn1k1UMzHMcd9OPQfi5qUTEv2rDz+FdoVKRRbj54/+uHfxEBLiYtBrxDxUrmpWZMcmhBCAavoSQsoPf5+72Ll0BNN+/jIA1nUz6/T6+PhgxIgRCA8PL9Axy1u9399S0zJr+SopSi+B6PsqEEeOn8H1KxcRHOjH2sbhcNBj6Gx07DtBYvE9QoqTUCjArdOuuHx0E2sCT8MWdti/ZxfqWNSQul9iUgpcDxzH/r2uCArwLfB55RWU0LB5W3Tt2g3BwR9w89pFRIZ/AIfDgaqqqtR9mnUciF4jFxT4XGKxGBtm9mbW5dHVN8TnsI9QVMg9afz8ZQCePPOFXZsWsKhpWuDz/i2q6Uv+me173VkJ30pVzNB14DQZRkTI3+FwOKhc1ZzVZ920LRwHj0VT206oWsMSyqrqzDaRUIC9q8fhU5DkY1umFtYwMM7647d3+zq8Cw6Vet6tG5azavzePC29Hm1J8DU8CJtmO7ASvhwuF/2HTcDL5165JnwBwM/7kUSfulYFaOkaFGmcRtWsMHTGRkxc7kYJX0IIIYSQQqhm2RCcbCUZrt7MKqfVsGFD+Pv7Y9u2bVBRUcn3Mctbvd/fFBXkc0z4ApmlIbauW4KgAF+8CwpFV/vBzDaxWIyLh9dj35rxRbIuBiH5xePx0bn/ZIxdvA8KispMv88jD9SvXQttOzvg3iMfAIBIJMJ1D0/06j8SFQ0MMGeq018lfAEgPS0Fj+9exYKZ4+G2exMiwz/kuQ+H+3dfiHA4HLR3GMu0f3yLQP9h41hlbL5F/4THAy/cfeiNGfNXwdSsDhrWt8LUccNgXb8uYmLj/urcJRklfcu55y8DMGf6eKatoKSC0QtdIa+oJMOoCPl7bXuOZLXf+D3BwP598OT+dYQG+SMpIQ5zlmTNyk1LTcbOJcMlyjnIySlg6PSNzLfwQkEGzl+WvlCbooI8lq9czbRTkuIR9/N7UV1SkYn7+R0nXZciJSmB6atSzQLXbz/EiUM7oamRe/mE5y8DEB31mdWnrlUBfcctp9kKhBBCCCEllJKyGioYVGXaAQGSk8mGDx+Oz58/Y9SoUQWq2fu73u/ixYvzXSO4vDCrURVXzh7F0rVbWaXfXjy+jivuLjKMjJRXdZu0x6yNZ6GV7QlNkUiIezfOoW3LRtDQ1oO6pg66tG+FiyfdkJTAToJyuFzoVDSChbUtWvcYDscxSzFk2noMmbYBrXsMh17l/M2ULa71hOo26cCauHXxpBt6DxiF2Yud0bnXIBhWMkD71k3RzrYxXJwXIzQoqwRkanIi+g4aVSxxyRLV9C3Hon/Eore9A1KTE5m+wVPWoaJhNRlGRUjh1G3aAQ5OC3F2f2YSNj0tFQP69sbFqzfRoXUzAMC65XMR9TWKWYQtMf4nXOb1w8TlbjCqlvWIRVWzetA3NEXU548AAH8pN8i/1bFizzBO+BUDbb3KRXpthSEUCnDAeRKC/Z8xfa3a98SNSydzna3w29gp87FvxzpWH4fLhbO7DyV8CSGEEEJKsPjYaERHZj2xZlLVROo4Pp8PFxcXLFiwgOr9FqFl86bApn5dDOhnj8S4nwCAW2d2I9DvIcYt3gsdfSMZR0jKE0NTC8zbcgln96/G8weXmHWdgMz3CmkqGlWHbbchaNzWHkoq6lLH/JaU8AsikRCx0ZF49fQWXjy5ga9hQVBQVIalTRvUa94JVWrUxsbp3Yv0uoDMOsajF7hiw0x7pCTFAwAunTqU7/3vXj8LjwdesLNtUuSxyQrN9C2nUtPS0aFbb0SEvmf6WncfBhvbov/FI+Rfs7MfwypRkpqcCPseXXHh2h2mz233JnTskVWzN+7nd2ya7Qh/n3usYxkY12Rev37pl+MMBsU/EqcpyQlSx8nKuQNrWAlfMytreFw7k6+E75GTF7F3uzP+rAHfa/hcSvgSQgghhJRwHwK8WfdxN65fgVAozHF8hQoVcP36ddy5cwfGxsb5Pk98fDxGjRoFa2trBAYGFirmsqZbR1vs3n+Y1RcREoj/dtHi6eTfU9eqgBGzt2DFgYdo03Mk5BUkn/RWVFZDi04DMHPDGSzZ7YHW3YfnmfAFABU1Tahp6MC4em10HzITS1xvY/PpN9h48hVGL9iFhrY9oKgkvZ5vUTAwroExC3eDy8t9jiuHy4V5vRbQrsCeqDVs6GCs3rirzDy5QEnfckgkEsFxkBNePnvA9JnWagB7p4UyjIqQotV10DS065X1eEZSwi84dO+ISbOWQigUgsvl4sKpQ2jdsTczJi01Ga7LR+H+5UPMjXFlk1rMdn+/J5izOKs0RHZ3HzxltbM/ViJrHuf24u6FA0y7oqEJHt33yNdKrb/iEjBr2mSmzePLoVmHvli65w469Ml51VVCCCGEEFIyaOux12x45eOJq7fzXqyS6v0WrQH2XWDTrC2rz9/nLsKC3+SwByHFS0ffEH3HLsXqw08xcNIa9Bg6C536TcKouTuw7thzDJrijOqWDQs90UdJRb3YSjpIY16vOUbP3wmj6lbQ0TeEhrYeVDV0ULuxHcYt3ocZ60/D+ag3pq45htWHn6BF54HMvpHhH7Fo9kSMGDfzn8VbnCjpWw5Nn78KV84eZdq6FY0xbsl+yMnlPeOPkNKCw+HAYfRiNO/Yn+kTiYTYuWkFGrfsgITEJCgqyMPj6mkMHjWFNeak61IcWDcZKckJaNahL5SyLf62ee0iuB44IXG+uDh2vSMFpfzfGBenZ3fOMaUugMy4zpw5C10dzXztP2nGQlYd337jlmPItA2oaFS9yGMlhBBCCCFFT7cie7Yuny8PS7P838tRvd+iweVy8eT+TRw6dobV/+TWSRlFREgmVXUttOwyCJ37T0bPYbNhY9sd8gqKsg6rUOo164QF265ildtjOLv7YMMJP0xYegB1m3ZADatGUNeqwIztOnAaqw0A7ge24/GzF/867CJHSd9yZvted2xbv5RpK6tqYOKKQ1DT0JFhVIQUDw6Hg4GT18LBaSHr8Q7fp3cxfup8AACPx8PR/VuxYMVG1qrGvg8vw2VuPygpq2Hswj3M4gtisRjzZk1Balo661xtW7dgtcOCXhXXZeUoNSUJ/j73cPPULhxYNxkrxrfH4c0zmO08vhzcjp5C88b183W8yKhonDi0i2mb1rJG804DctmDEEIIIYSUNCdd2SUEZixYgWomhjmMlu53vd/g4GA0b9483/v9rvdrbGyM06dPF+icZZGcHB/DBjqgq8Ngpu+V1y1KihMiQ5o6+li29y76T1zF5A1EIiHGT5ycx54lHyV9y5H9R89g5mQnps3jy2Hs4r20cBsp07hcLuzsx2DWhjOsR9tOHHZlfXO3evFMHDt1Geqaukzf548B2LtmPKpbNsSAiauY/vhfP3D3gRfrPI0bWLFW5Q199+++FUxJTsDZ/aswf0hj7Fw6HBcOrcPzB5fwNSyIKVPB4XCwafs+DHDoku/jxicksgr7p6UmQ5CeVuTxE0IIIYSQoiUSCvEhwAdXj2/F8weXmP6GLeywdunsvz4u1fstGv0c+zCv42K+4VPQSxlGQwhRUlGHbdchrBKRb3wfIzJK+uJ2pQUlfcsBoVCIcdMWYvRQR2RkS9gMmbYeNWuXnVUJCcmNiXl9TFzulvXNnVCA0WPHsxaxGODQBb6+vjA1q8P0vfV7iGPb56NRm96Qk88qgTKgfx/sOZT1KBaPx4OuXlYR+IuH1yPknV9xXhLjyOaZ8Di3D6k5LB7H5fGxYMVGTB03rEDHNa9hgh59hzPtL6FvcXznQokF3QghhBBCSMkhFotxYN0kbJrdB1fcNzP9Kmqa+M/9UIFKNOSE6v0WTp+enaCkrMa0Xz6+IcNoCCG/VTWrx2qX9s++lPQt437+iodth57Ys3UNq7/H0Flo3NZeRlERIhuVqtSEnf1opv321TPUa9QKAe8/Mn3VTY1x9/YN6FWqwvQ9vX0al49ugnH12kxffGw0xo3oD7uujsy3f41btGadz2391GK6kiwZGWnw97nP6lNR00Rt6+boO3QcVm/chRevA7Fq0QzpB8jDCTdXVDOvy7Sf3TlLdccIIYQQQkown/sX4PfomkT/irWbYVqlspQ9/h7V+/07SooKaNa6I9N++eRGqU8uEVIWfAl9y7zWrmCAygZ6Moym8CjpW4Z5PPBC3QaN8PjuVaaPz5fHkGkb0Ll/6a9NQsjf6DJgCrQrZN3s+vs9QcMG9bFh2wHmhrOKkQGuXbsGVXUtZtzts3vwMfC5xPHuXDsDC0sruJ+8BPcDO2Dbviez7UdUOMTiormJTU9LxfEdC7FmchdcPLwB8b9+AADCgl5DkJE1g3/hyk2I/xWD188f4eRhVyyYOR51LGr89XmVlRVx8cJZVt+9S4f++nhFKTUlCdsXD8XHAB+IxWJkpKfKOiRCCCGEEJnzvHac1a5cpQamzFmOaeML9tRXflG937/Tx8GBeR39NQyh/+gpQUJIzkLfZ5VaqW5mJcNIigYlfcug5ORUjBg/Cx3btkBE6HumX0NbDzPWn0KzDn1lGB0hsqWgqIzxS/dDp6IR05eSnIA5U50waVbWIofWdS1w4tR5VkmHnMT9/I6hA3ph1sLVuH7pJHSylXkQCQuf9BUJhXDbMAWe19zx+WMAbpzcgUXDm2HjLAdsW5S1CISCkgqWzJlcJI/sZWdpxq77nVMZiaKSnpaKRzdOwOfBpVxnPBzZPBOBvg+wcXYfTOhaFYc2zkDsj6/FGhshhBBCSEkW9PopPgR4M227ro6I+BSEreuWFPk94p+o3m/BDHDsBnkFRaa9YaY9XOb1Q8y3CBlGRUj5lZqciODXWWv3NG7STIbRFA1K+pYxt+49gZlVPRzavYm1AJOJeX3M23oFJub1ZRgdISWDoakFFu24IfEFyL4dGxAS9oVpd+toi90HjkFRWTXPY4rFYuzdtha27buhh8OAbP2FS/qKxWKc3L0UL5/cZPVnpKfhY+BzZKRlzW61qtcY8vJyfx6i0FLT0lntmG8ReOV1O9d9fv2IQsy3zwU+V2RYEJyndcexbfNwcN1knDu4Ruq4H1HhePH4OqvP79FVLBjaBOcOSN+HEEIIIaQsS09LxY6lw1l9Kqp538cWNar3mz8aaqpo3KoDqy/otRdun90jo4gIKd8C/R5AIMj67DuwX+kviUpJ3zIiMSkFw8ZMR2e7VqzZvVweH90Gz8CMdaegqaMvwwgJKVkUlVUxZNoGjF7gyvQJMtKwbPUG1riRgx3wM+YHQsK+4P2HT/B/9wFrN+/OcQawzyMPuLluLLI4/R5dw8OrR5m2gpL0G2cNbT2sWLZU6rbCUlSQR4ce/Vl9e1aOxs1TuyRm4orFYtw6sxsLhzfDohEtsGZKV9y75Ia4n99ynbUrFovx6MYJOE/rjq9hQUz/nXP78OtHlMT4oGzfwP7J49xeJMb9zO/lEUIIIYSUemKxGG/9HrImBABA1y6dZRQR1fvNj51bN6GOTQtwOBym7+f3L7nsQQgpLq+9PJjX+pWqolGD0l/egS/rAEjhBQaFoFv3nggN8mf1G1WzxNDpG2FoaiGjyAgp+Rq06IK6TTvi1dPMmbSnjx3AhtVLoF9BmxmjpKgAE+NKTNvSrBoa1K+N/o4OiJWSkCxKL7ItwqGsqo5bHvcBAC7bXRHz4wcaWFujQ7vWsG3eEIoK8sUWx7GDrmhuG4ygAF8AmR8sLhxah8iwIAybsQlcHg9CoQCndi/Fw6vuzH6fP/jj8wd/nNq9DHLyCtDUNYCWbkWIRWLoVjRGenoq0tNSkBD7A5+CXko9txiSyeKg109zjFUsFiPknR/qNLYr5FUTQgghhJRs6WmpePHoGjxvHMfHAB/WthoWDTB6qKOMIsv0u97vggULMHToUDx+/Dhf+/2u9+vm5gYXFxc4Osr2OopL7VrV8crHE516DsTNSycAAOlpKTKOipDy6e0LT+b1t8hPxV4S51+gpG8pd+GqB4YO7o+EXzFMH48vhy4DpqCj43jw+EX/qDchZU1Hx/FM0jc1ORH7Dp3AotkTc92nQ+tmePrkKWxsGiAxPhYAwOXxIBIKWeM4HC4gJWmZX9lrenXs7ojmjTNLtDRvvPevj1lQIWFfYG1tjV8x3yS2ed87D0sbW9Rt2hEHnCfhjfedHI+TkZ6G6MhPiI78BAAI9n+W57nt7MdAS9dAov9reDDzupvDEFw8dQg8Ho/pS/r//xNCCCGEkLIqLTUZm2b3weePARLbqlS3wI1rl2QQlXS/6/36+PhgxIgRCA8Pz9d+v+v9Ojs74+jRo7CwKHsTmk5duIk7187mPZAQUqziY6NlHUKR4+T2uG2hDszhWAJgpp76+/vD0tKyWM6VX40aNcK7d+8k+jkcDuTkSl9yVCgUQiAQsPo4HA54PD6Q7fEQQkjehIIMpvwAh8uFfD7fE4RCEQSCjKwODgdcDhccLhccAEKhIMd98/OlTPa4eHw++NkSm/9KhkAgkczOjsfjQywWFfnjdxwuN/P9TAqRUMA6358Jdx6f//+EOyFZhNl/V/9AX5KWQ2JAKMz53wSnDMzuIISUcWKx5P0XhwMuh8MqF/Cv5XZP+HvmXGHvG8vCDLzfhH/cZ3O5XPo8T8o0cR6//+tP+ue6vbismtgJX0LfAgAqGVfDl7APxXaugIAAWFmxykdYicViyW/wCqlczfRNT0+X2i8Wi3PcVtJJ+2OeW5KJEJIz5vepgO8Jf/4eisUiiIV538jmloCSdnyRUIj0XJKvxSm3Dw6/F40s8g8XYnGuP6Ps5xOLRKx2ZgJYNj8rUjrl9/eRlB95fSAhhJCSQNr9l1gsznUtBVkqqkkCZanWr+RnCTFQQv//EVJWicViJCdkLSDZtGVbGUZTdMrO12P5EBtLj/sSQgghhBBCCCGEEEIyff7oj9gfX5l2p44dZBhN0SlXSd/U1NS8BxFCCCGEEEIIIYQQQsoFP8+sBdQVFJXRr3dnGUZTdMpV0ldRUVHWIRBCCCGEEEIIIYQQQkqAtNRkeN+/wLSb2naEmqqKDCMqOuUq6aulpSXrEAghhBBCCCGEEEIIISXA9f92IDY6kmn379dPhtEUrXK1kJu8vLzUfg6HAzm5kr1qd3pGBmtBES6PBy6XJ8OICCnbhEIB63dOTk4uz1WC09PTJRbNyG1xMx4/f+87goysReU4HE6O72VFLSMjg7VIBofDkYg5e2x/4nC4EIvzs8gGB/y/fA/+8/8TAPD5chIrHgsFGbkuaML5/yrXOS0KwuFwweOXqz+ZZVJui7Xl9/eRlC25/ZuQU1D6h5EQQkj+iEUiZKSzyxbKyytATq7k3KckJyfnuE1ZWblAxxKJRBJlGrlcLhQUFIp+EeESJj09Axm53Gv/icPhgMvjg8fjAZxyNb+PlDJikTDXz5H/2qunN5nXJjWtMHKIgwyjKVol5y+DDJmZmcHb21vWYeTo3iMftG3ZiGk3be+IIdM2lPk/coTIUmpyIpY42SLh1w8AgKGJGUKC/CGXS+Lv2KnLGOs0FEnZVv1UU1eXuvoujy+Htcde5CuWm6ddccHNmWm37tgbO7dthEVN0/xeToFc9/DE0MEDER8Tw+p3cFoEO/vRTNvv0TXsWzOeaXfo0R+3Lv1X4PPVqN0EM9ad/KtYf37/gtWTOiM5MQ4AYN2qO0bN3S7x/rh+Ri+EvpP8eXO4XPQfNh6bnZejop4OUlLTcOveE9y4dQd7tq1lJZRXuT2Gjr7hX8VJSob5g+pLTfIV5PeREEIIkaU7Fw7gzN4VTFtFTQPvgz5AV0dThlGx6erqIj1dMqEjLy+PqKiovzpmREQEli5dCnt7e3Tt2rWwIZYKy5y3Yfn8qay+Np3s8fPnDwT4eUEgyDlpVt2yEZrYOaBJOwf6YpuUSJtm9sS3iI8S/fqG1f55LCnJCcxrPf3KuX7mL23o658S7vGzFxgyeBDTlldQgoPTIkr4ElLMFJVV0XVg1k1WROh7rN+yN9d9BvXtjrfv3qFL76zf2T9nof6Ntj1HQFsvK9l4/+Z5WNevi4dPfAt97D+lpqWjr0NP/PgWwfSpqGli7KI9rIQvALz1e8i81q9UFdfPH8O8pesLdD6+nALa9Rr11/Fq61XGgu3XMHDyWszZfAFO83ZIfX90cFoEvpyCRL9YJILnvdtIS8u8aVYUO41XAAAgAElEQVRSVEDPzm3g6rIKoZ8iWGMjQt/mGc/njwE4tHE61s/oxfznMq8fbpzcifjY6L+8SkIIIYSQTOpaFVjt/05fLFEJ3+JiaGiIAwcOlJuELwBY16vDvOZwOFiwYiPuXj+Ll88e4Ht0NPYdOY1uDkOgrKouse+HAG+4b52LbYsGIyMj7V+GTUipU92iIfPa+/FtPCiGz9myQknfEurL1+/o1X8kWjazwZewYKa/Wcd+UFEr+3/UCSkJWnQaAL1KJkx707qViEtIzHUfo0r6uHrOHS9e550gzC85eUUMm7ER8tkeNU5NTsS+g0eK7By/hYRFIDE+lmmb1WuORbtuoV6zThJjI0LfMa8bNm0JLpeLtctmY8GKjXmep2WXwdh8+g2c3X1Qt2mHQsWso2+Ilp0HwsS8fo5jqlnYYOgM6XFFfArCoOGjJUo7VDEygIa2HtOO/PTuz10Z3yJCsN95EtZM7oJnd88h9N0L5r+g1164eHg95g9tgv1rJyLYv+Q+WUIIIYSQks3I1ILVFggFMoqEFLeuHVph+ryVaNGuG/47ew2rF89ktmlpqsNpSB9cPnME0d++Yee+Y2jcsiO4PPYMxaDXXjixfWGuZc4IKe96DJ0FPj+zhKJYJMLEiZNyLPtX2lDStwSKiY1Dw8ZNcfGkG2uWoGkta/QcNkeGkRFSvvD4cug5fDbTjv0RhTkLV+dr33q1zWFsWqvIYqlZpymW7buHyiZZx/z8ObzIjv9bSgq7ZprDqAXQ1NGXGCcSiVhJUCur2szr1Ytn4qnPK4yZPE9iPw6Xi2Yd+sJxzGIoqahDRU2jCKPPXUPbHpi9+TxadBoAQ1MLVl30x3evwrBqDRhWrQnDqjVhZGIGY9NaiPv5nRkTGRYkccyEuBi4b52LFePs4Pvwcq7nFwkF8PW8gs1zHLFxdh8EPL9PN+CEEEIIKRBlVfa90979bmjcsgOGj52BDAElgMsSLpeLzWsXwdPjMvr2lpyA8ZuysiImOA2E18MbCAkNx9wl61ChohGz/anHaXheOwYAiPv5DfH/L19HCMmkV9kE7Xo7Me2Al17YtMNNhhEVnbJTqKIMEIlEOHn+BiaMHYlfMd+Yfh5fDm16DEe3wTOgoFiwwveEkMKp37wLqprVx6f3mfU+D7huwuCBjmjZpEGe+06fNQeL50yWvvEvkn1augYwrWWNL/8vMxD19UuBj5GX1FT24198OemLxnl5nEZ6WgrTtmlQj7W9uokxHOy7w91tF5IT45n+ySuOoFaDlkUYccGYmjeAqXnm/7u4n9+xckIHJP1/ZvPXzyG57hv56T2rnZKcgM1zHBH1mV2LSk5eAe06O0BDM/NDWfD7d3jxjJ3g/Rjggx1LhkFJRR2VqpqhclUzmNayRq0GraCuqVvo6ywKYrEYT2+fQsDz+6jVoBWa2vWhmnCEEEKIjN27dIjVvn4+M5nn/eg29PT0sH6l5JfupPyoYmQA5+VzMKBvLzRv2phZa+TEzoXwOLcX0V/DAAAGxjVQq0Er1KrfAjVqN6E8Ayn3OvWfBK+7ZxH3/1zc4rlT0LyJNZo1qpfHniUbJX1LkIPHzmH0UEdWX5UadTBy7nboVaoqm6AIKec4HA76j1+BdTN6QiwSQSjIwPDhI/D29XPIy+eeAJsydiiWzpsqdTanUChASlI8lFQka3DlRrtCJeb1j29Fn/SN/6N8BY8vmfSN//UDZ/dnzXjW0auELh1aAQBeBQRh+er1uHruGNLTUiVqjJ0/5IzqtRtBTkp93b+VGB+LV09vIjHuJzLS05CRnoqM9DRUt2oIkVAEs3rNoKahI7GfhrYemrS1x50LB/J1nqiIj8hIT4WcvCJEIhEOb5zBSvhyeXx0cxiMTWuXo7qpMWvfV/7vsXHLLpw/dRhJCXFMf0pSPD4G+OBjgA+CXj/FEZfZqFm7CVp0GoC6TTvkmHT/F07tXor7lw8DyFy07+apXeg1fC4atOxKdeUJIYQQGZFXUMxx256dm7Fs/jQoK+c8hpQPtWtVh7KqOmuB6d8JXwD4Gh6Mr+HBuHvhAPh8eZhaWKNW/ZaoUbsxeHw5CDLSmf+Eggxo6hrAuLoV3QOSMktRSQV9xy7FvjUTAABpqcmwt++Nl37PUVFP8rNkaUFJ3xLk1OkzrDaPL4ch0zdSwpcQGatSsw46OIzDzdO7AAAh71/DYeAoXDx1CFxuzlVyuFwu+Hw+MjIyJLaJxWIccZmFMQv3FOjmSauCAfM65nskqlSzgEFlY6SkJOHXzxhoaGlj7+5daGKTufBD7K94XLx2B8pKSujTs0Ou8QKA55NnzGseXw6a2pKlHW6f3YPkxKzEpfPGrVBSVMDG7Qcxd9oYiERCZlt6Whp69R+JC/8dBAB8/uCP8wfWou+4Zfm+ZrFYjOjIT0hK+IXUlCSkpSSBLycPs3rNwOPysW3RYHz+4C+x37tXj/H1/yUZDE0tYF6vOVp0Ggh9Q1MAmUnc+1fyXxdZJBRgzeSucByzBGEf3uCV1y1mm5mVDf47fhT1aptL3beulRmO7t+KmA0rsMJ5Kw7t3S7xaN3vBPK7l4/w7uUjqGrooKldHzTv2J+J+V+JDAtiEr6//YgKx37niah99xz6jFlCf5sIIYQQGbBzGIOv4cHwuX9RYlt8bDS8X/ijdXMbGURGSpL4hCREf81fKTiBIB1Br58i6PXTXMdVt2yEPqMXo0rNOrmOI6S0atCiK9r2GoW7/58U9O3LJ3Tr1Reed69BSbHoJi39S5T0LUHevnnBak9Z7Y7KVc1kFA0hJLuug6bildctRH3+AAC4cvYoRozTweG9Lrnul1tC9+WTm/D3uYvajdrlOw4dfSNWOzzkLcJD2IvG9ejRHWMmTMWN69fwyucRBP9fsbduo1bY5rIZtS1qQENdVWoC2PPhA+Z11Zp1Ia+oJDEmLTmJeS2voIheXewAAHtct7MSvgDA4/NxdP8O1PZ9hk/BAQCAe5fcYNWoLSwatMrzekUiEXYsHoq3LzwltpnVbQbb7sOkJnwBMAlfAIgICURESCCe3j6NpXvvQk1DB0lxPyEUSCbk7bo6wsy8FtLS0qCnVwEbVi1ERnrmzzDq8wdsXzyUNV5TRx/Xr16EiXEliWP9SUdLA1vXLcHqJbNx+cY9+Pq9xBv/Nwh+54/QIPZ1JMbF4PbZPbh9dg9q1G6CBi26oG7TDtDSNcjh6EVHRU0DcgqKyEhLldj2xvsOAv0eouew2WjvMLbYYyGEEEJIFjk5BYyYvRW16rfEEZdZrG26+obMF/+kfFNXU0FNS2sEBfgCACoYGKNpy7Zob2eH1NQ03Pa4De/H91hlJfPyIcAbztO6o1GbXug5bA609SoXV/iEyIz9qAWICAlkvgTxfXoXbTv2wp3r50vlUxS0kFsJcerCTXwJC2baQ2dsQs3aTWQYESEkOzl5RYxZ6AoVNU2m78i+LZg6d0WhjpsY97NA403NG8CommWuY6K/hmP14pnwfXKHSfgCwCvvh7BtbgNtLQ0oKauiq/1g1oIf74M/4dGdK0y7Rg7vQU3a92Fep6elooKuFlp16AmBlASquoY2VFWUcMzdndX/4vH13C/0/35+j5Ca8AWA96+e4PzBtfk6zm9JCb9w72JmUf5qlg3RttcoiTE/or+jVfOmeOHrgy+RkXA7dgaGJtK/gOPx5XDs+Kl8JXyzU1VRwgCHLti4egFuXjyBkPdv8Ck8EtPmroB+5aoS44PfeOGk6xIsGNoEa6d0w7XjW/El9F2xLQSnoa2PmevPoE6T9lK3CwUZOHdgDW6f3VMs5yeEEEJIzjgcDoyr14aikmpWH5eLfQcPQVFBdqWhSMnB5XLx7PE9XL5xH68Dg/E9MgwXT7ph0uhBmDV5JG5ePIGY75F4/OwFZi5cA+tm7XItHZKd970LWDamDS4eXo/U5MS8dyCkFOHx+HCavxPaeoZMn9fDG7Dt0B2JSSm57FkycYrrAyOHw7EEwExb8vf3h6Vl7omK4taoUSO8e/dOot/c3Bze3t4yiCjTt+ifqFGzJhJ+xQDIrAu5yu3RP5nNRQgpmE/vX2LL/AFIS01m+vYePiVRj/s3XV1dpKenS/SLxWIkJiZiwfZreSZx/yQUChD8xgvfv3xC9NdPiI3+CgUlFXwJfYuw4NcFOtaUOcthZVkL+/ftg/ej26xtU9ccg3m9FlL32zjLAR8Dn+d5fFUNbTx6/BTvg0PRL9uqw3b2o+HgtCjP/YWCDCwY1hTxsdFSt/P58hAIJH++edl8xh9KymoAMsspbF0wiNnG4XIhr6CEtJTMGc2aOvpYvHwtfsTEYNvGVayavItXu2DFgmkFPn9uRCIRzl72gOvuPfD0uJLr9elUNEK9ph1h13s0NHUrFmkcv/38/gU3Tu6E5/VjUrd3GTAF3QbPKBU13uYPqi91djePL4e1x15I2YMQQggpeZ4/uIyjW2azFtUdNWE29u9cL8OosuR0/ysvL48fP35I2YOUBMnJqQgM+gg5OTkoKSpASUkRykqKyMgQYPGK9TiyfxvS/3gKTEvXABOWHYShqYWMoial1aaZPfEt4qNEv75hNczcJFm+5l+L/hqOLfP642d01jo69Ru3xgOPK1BTVSn08QMCAmBlZZW9y0osFgcU+sB/oJm+JcDug8eYhC+QOZ2cEr6ElExVzeph3JJ94Gdb4GzGlHEICSv4omp8OQVUqlKzwPvxeHyY12uBVl0Hw8FpEZzm78SQaesxYbkbKhhUAZA5A8S0VgP0Gj4X87ZcRssug8GRUs5h2/qlGDOsr0TCFwBMza1zjKHH0Fngcnl5xpoY9xPNmzbGqzfs0gV+ntdYydOc8PhyaNtzZI7bLRu2huofi7RxuFyoauiAy8u5gtHzB5eZ1+b1WqDHsNlMWywSMQlfAPgV8w0zJ43EzevXcPr8FfQbNh6mZnUwZ4kzls2bkuc1FBSXy4Vjzw64e/0sQsLCMXvRWpjXaSQ1qRoT9Rl3zu/Hqkmd8Mb7TpHHAgDaepXRZ/RitOs9WurCctdObMMFN+diOTchhBBC2K4d34oD6yaxEr7WTdtix+ZVMoyKlAXKyoqwqWeJupY1UbNaFRhV0oeOlgYq6ulg3451eP3mLTr06M+6J4398RWbZjvirZ/0J/MIKa0qGBhjxvqT0KmYVV7xxbP7sLXrhvR0yUkkJRXN9IXsZ/o2a90ZTx/cAAAYVbfC/K1XSsWMKULKs6ceZ3Bk80ymbVKzNtyPHkGzRvVY43Kb6atbqTrmbinabzFTkhMQ8TEQ+kbVoK6py9qWEBeD6K9hiPz0Hse2zcv1OFVq1MG8rZdzHRMV8RHLx7TNV1xcHh/WTVvD55EH02fVsC3GLz2Q5+JyGRlpOLV7GXw9ryAlMR42tj2gpKIODgfoN24FOFwuMtLTkJqSCKEgA+qauuDx5SASiZCUEIuQt364cXInPr3PmsnpOGYp2vbKSiZ//hiANZO75HkdfDkFjBw/A8MG9YVpVSPo6WrlGX9RCfv8Fe4nz+PypUvwe3afqTOcnZ39aPQaMQ+8XBLef2PPqrF4+eRGjtu5XB42nnwJJRX1Ij1vUaOZvoQQQkqziJBArJ7UmdU3aORkHHTdBHl5ORlFJYlm+pZtdx96Y8q0aQh4kbXwG5fHx+ApzmjaXvrTj4T8qaTP9P3t5/cv2DJ/AKK/hjF9Q0ZPxZG9Wwp1XJrpWw6IRCJMnbsCXg9vMn11GrenhC8hpUCTdg6wbtmNaYcGvUGr5o3gNHFOvmv9GNewyntQASkpq6FG7cYSCV8AUNPQgal5A7ToNACtug5hbdOuUBm6FY2ZtrRat3+qaFgN3QbPkLpNr5IJbGx7MG2RUICoLxGsMf4+d3Hj5I48zyMnp4BBk9di44mXmLvlEjo6jkf/CSvRf8IqcHk8cDgcyCsoQl1TF1q6BuDxMz/0cLlcqGnooG6T9piz+TymrHJHoza90KbHCDTv1J91DqNqlmjWoS+rT1VDB33GLIG6VgWmT5CRhr3b1qJ54/ow0NeFsooaWrTrhnNXPCASifK8lsKoYmSAhbMmwOvhDXz/Ho3dbv+haWv2Bz+Pc/uwd/U4pKcWbb2p0Hd+uW4XiYQIfUdJU0IIIaQ43fn/ivJA5hfRW3cfhvuBbSUq4UvKvratGuGVjyf6DRvP9ImEAhxxmYUrx7YU25oThMiCtl5lzFh3ivVZ+ei+rdhz6KQMo8q/op0KRApk885D2LZ+KdPmcnmwbtlVhhERQvKLw+FgwKTViAwPwtewIACZ9WcP7NqA61fOYfvO3bDvZpfrMbQryG7F275jl0JDqwLiYr+jTuP2qFW/Jbg8Hj5/zPxyMb91huXkFHLc1rxjfzx/cIlpfw6VfNLiivtm2Nj2gF6lqnmei8vjoWrNuvmK608cDge1GrRErQYtcxzTf8JKqKprI/bHVxhXrw3rVt2gpWuApnZ9cPHwBnhec5e4iU1LTcbju1fx+O5VmNS0wtgJkzF59NBiX9lVU0MNY4f3w+ihjnB22YPlC2cwNdZee93G1oWDMGnlYaZucUEkxsci4dcP6BtWA5fLhUgohIqaFuJ+fs91v+iocFZbKBQU+YxjQgghpLyKj42Gz/2s2W/d+wzGlLFDZRgRKc94PB7+O7QLVapUwYaV85l75KvHXBAW9Aq23YagVoNWdC9IygRN3YoYu3gv1s/ohYz/f+aaPnE0GjaogwZ1ask4utzRb6AM7d61jXnN48th4KQ1MDCuIcOICCEFoaKmiXkul3DlmAvunN8PkUgIAIgM/wiH7u0xasLsXPf/PSNVFnh8OXQZOFWiv6CLyvn73JXan5GRBm29yuBwuRDnMgNWLBbjg793vpK+xU1OXhG9R86X6FdW1cCAiavQtL0jTrouZZWJyC40yB/zpo3FmuWL0H+IExbMmowqRsVbn53L5WLBzPFo3bIpenTvhpjvmbWlQ9764ubJXeg1Ym6BjvfU4wyOb5sPgSAd1q26o4/TIuxdMw6RYe9z3U9BSQUWDVoBANLTUnHEZRZePbmJuk07YOTc7f+sBAYhhBBSVkWEvmWVKOrYob0MoyEk07rlc1HV2BhTJ4xgSo/5+9yFv89dqGtVQAWDKlBQUoGikgqsGrZF43YOdF9ISiVDk1oYNGktDm2aDiCzrKK9fR+8C3gBRQXJdU9KCvptk5HHz17g47tXTNtxzBKJR4sJISWfvKIS7EctwLytl2BUnV2u4cCuDRAIBDnuK21RrNIkIS4GHwJ9mHZFQxPmtSAjHXqVqqLf+BWyCK1IZaSn4uFVd8T9/I65Lhew4cQLLNxxHROXH0JHxwlQUdNkjY+PjcbebWtR3bQq7Ac6ISVVsvZuUWvWqB68nj6BoYkZ0/fK62aOj9clxsfi7kU33Dztildet/E98hMS4mJwZPNMCASZNfh8H17G/KGN8yzboFPRCDPXn2YWEbxzYT98H16GQJAOX88ruHRkYxFdJSGEEFJ+mZjVY9XO37F9Wy6jCfl3xo8agLMXb0BVXYvVHx8bjY+BzxHo+wB+j67hiMssHFw/BRnpqTKKlJDCadzOHi27DGbaYR8Dsf/IaRlGlDdK+srIrr0HmddyCopo1KaXDKMhhBSWUTUrzHW5CAenRZBTyHq0XygU5rhPaU/6fvD3Zs3ijYoIZV4LMjITh7Zdh2DqmmNMQlAaHr/kPnQiFouxb80EnNi5ELtXOOHmaVeoamjD0NQCVg3boNeIuVhz2AsDJ69FRaPqrH0FgnScP3EAQ5wm/5NYq5saY8asrJm9UZ8/YtmYtrh+cgd+Rkeyxh7dMhun9yzDBTdn7F7hhKVOtpgzoEGBzlerQUusPOiJFfsesGaIp6cms8bdPLUT3vcu/MUVEUIIIeQ3JRV12PV2Ytr+fk9w6sLNXPYg5N/p3qk1Xrx4iWFjpkO7Qs5Puvk+vIwr7i7/MDJCipbj2CWs+r7Hjx+TYTR5o6SvDKSnZ+DK+ayiz/WbdSrxK54TQvLG4/FhZz8ak1cehYKicp7jb512xbaFg7Fn1Vgc2jQDFw6tx7eIkH8QadHQ1KmY4zY5+axav+b1WmDa2hNSfyZyCoowrWVTLPEVhRePr+GN9x2mffHwevz4o3atvKISWnYeiCW7PTB51VFY2rRmbT9/4iC8nr/+F+GiV7eO4HJ5TPv7lxBcOrwBi4Y3w5YFA/Hszjn8jI7Em2cehToPh8OB/cgF0K1oDC6Px9pWs04zifHuW+cw9aIJIYQQ8nfa9BoJZVUNpr1lS+FWjyekKFU3NcahPZsRFRkO99OXMWLcTNgPdELHHgNYCyN73TlLi72RUktOTgGN29ozbe9HHoiMipZhRLmjpK8MXLv9APGxWf8omtg5yjAaQkhRq2HVCJNWHoGCkkqu46K/huHtC0+8fHIDz+6cxc1TO7F8XDvsd56EiNC3/yjav2diXh9DZ2ySuE4Ol4v2DmNYfdp6lTHd+SRUNXSYvhq1m2D2xrOoYGCMkkgkFOLy0U2sPrFIhGB/b6njORwOLBq0wqQVhzFvy2Vw/79whUgkxKSpM4o9XgAwMa6E+cvXS3yRKBaL8f7lYxzaNB2rJ3b+qxttRSVVAICqujb6jFkKQ1MLqeOqWzWEvIISqy8jPQ371oxHUsKvAp+XEEIIIZm+R4QiNSWJaaem0mPypOSR4/MxqE83HHTdiLPH9uHGxePYtmsvsz0+NhqRn3JfL4KQkiz7k/pCQQbWubjKMJrcUdJXBhIT2Y++GpqW7NX+CCEFV92yISavPFLg/cQiEXwfXsbqiZ0wd5ANUpMTcxwb7O+NU3uW4875/YgICYQolwXTiktTuz5YtPMGWncfhjY9RmDk3O1YfegJ7OzHSIytUrMOFu28DscxSzF1zTFMd/4PRtWspBy1ZPjy6S2iPn+U6M9tYbrfqtSsg9bdhzFt3yd3cOFq4WbX5teqRTPwLSoSW1wPwbpZO3D+WCwjOfEX65Gk/Bo+ewumrzuJ9Sf80LbniBzHyckpoE4TycVlor+GYfWkzgj290ZKcoJM/r0SQgghpdn9K4chEmatFxH89hV8/PxlGBEh+dOrqx34/KzSdu9ePpJhNIQUjl5lE1b78P6dMookbyW3kGIZVqWKIau9d9U49BmzBFVq1JZRRISQ4lDNwgZ8OXnWSsvZtbTrDlU1dSQmJiAhLg5v/J6wxqYmJ+LWmd14/+oJbLsNhaKyKhSVVKCgpIr4n9+xa/lI1vFU1bVRs05TmNVtBrO6zaBX2QQcDqdYrxEAdCsa53vBNg1tfbTtNTLvgSWAMIdF+PT/+COfky4DpsLL4wySE+MAAOcvXkWvrnZFFl9u1FRVMHXcMEwdNwwz5q+Ci/Ni1vYfUeEYu3gffB9ehp/nVYhEOdeelpPPfISpclWzfCeLe4+cj4Dn95GSFM/qj42OxJb5AyAWiaCpWxEDJ62BVcM2Bb9AQgghpBwyMK7BaifGx6JFs4bYtH0/Jo0eJKOoCMmbhpoqatVtiDe+jwFkJn3bZatRTUhpU9GoOqI+fwAAxP38jqCPYahZLed1bGSFZvrKQB3LmqxHXz8EeGPd9B54Xcgai4SQ0iXwtR9sbGzw8NZFvHh2H/6B79Fn8BimHm56Wgqu/7cdIW994bZhKlyXj4LLvP5wntpNIuELAInxP+H36CpO7FyIZWPaYOGwprhzfv+/vqwyQ6eikUSfVcM2MKllna/9VdQ0UKt+S6bt/exJkcWWX3cfekskfH+Li4nCqLnbsdbdG/3GL4eJeX3WdlV1bXQdOA2rDz/FoCnOBZodrF2hEvpPkP5FgEgogFgsQmx0JHYuHY7Te1cwC/8RQgghJGftHcai77hlrLq+6WmpmDxmMCbMWExP0ZASrZVtW+Z18JtndP9HSjXbbkNY7e49HZCeLn2ylyxR0lcGNNRUsfuAOzR19Jk+sUiEp7dPyzAqQsi/FvP9C1YunM48lmdewwSnj+5B6KdwdOo5sNDHj/3xFWf2raTHp/6Sqro2qtSsy+obNtMFXG7+/3RWt2rEvA4OfIGExKRcRhe9pORkqf0Kisowq9ccAKCuqYvW3YdjzuYL2PDfS6xye4xVbo/hfMwH3QZPh1q2OswF0bB1L7TqOiTPcXcvHMCaKV3xK+YbUpMT8fLJDeZbc0IIIYRk4XA4aNNjBFYceAjbbkNZ21xdVqGr/RBK/JISq3vXjszrtNRkhLz1lWE0hBSObbdhsG7ZjWkHBfhit9sJGUYkHSV9ZWTEIHuEfAhi9aWlSv9wTggp2xpZ14ZFvSYY4jQVew+fgkAgxNVzRzFw5CRmzJ91WX/T1TeE/7sPOHH2GoaNmY4aFg0kxp7dvxpfPr3PtT4wkcThcDBvyyW4XgvDjPWnMWfzBaiqa+V7/5/fvyD0nR/TFgoycOtu0c72FYlEeBccii9fv0vd3rFtc1bMWroGGL3AFasPP0VFw2oS41XVtaCjbwgdfUPweIWrAMXhcNB/wkp0G5y1iB2fLw/rVt0lxn4NC8KWef2xYlx77Fk1FsvHtsP+tRPxLSKkUDEQQgghZZGKmib6T1iJEbO3sOqk3rh4HAfcz8owMkJy1rZVY6ioaTLtQN+HMoyGkMLhcDgYPG09dPSzyrdeuHBRhhFJRzV9Zcjb7w2rbf7/WVeEkPLn7atnePvqGdwPbAMAaFcwQFpqCrNdUUkVOhUqwqquDTp16gDLWmZITU1D88b1oaWpDkuzauhv3xkA8P1HLOYsXoXDuzcDACJCArFqQgcAgLKqBrT1KkNHzxC1GrRE0/Z9Ia+g+I+vtvSpkW3Gbn5Efw3Hhpm9kfDrB6s/NT2tSOJ5+MQXh46ewPUr5xAVEQoOhwOLuo3R074PRg3tD9MqlQEA8vJysLXriqvn3AFkzv6+eWoXDE0tWDfdxYXD4aDrwKmwtGmNn98jYFa3OVTUNGFczQrn3dayxn77wgFHS7gAACAASURBVE7w+npegd/ja2jdbRi6DJxaoIQ7IYQQUh40atMbuhWNsWvZSCQl/AIA7Ny5A6OHOso4MkIkyfH5qFLNHIEvvQAAsT8iZRwRIYWjqKQC61bdceu0KwDAy9MDKalpUFJUkHFkWWimrwydPsv+FqBl58I/zk0IKR34fDlo6lTMcfvP6K/MzTsApCTFI+JTEG5cPI5p44dj0MD+OHn6HO4+fIYfMb9Y++rpasHVZQ30K1WVOG5yYhwiQgLxyusW/tu1GItHtsCtM7vznAWckhSPp7dP48un9wW7UCl+/YiCr+dVfA0PyntwKXX56EaJhK+ZlQ3evQvGsVOXc5yZm5frHp6watAMts1t4LZ7E6IiQgEAYrEYAS+9sGbJLFQ3MUJt6+bYc+gkAGD5kvlQVFZljhH+4Q3WTO4CX8+rf3l1BVe1Zl00aNGVSTR3cByHKavcoZ9ttrGljeSCbmKRCPcuuWGJUysq+UAIIYRIYVrLGu0dxjLtV94Pce+RjwwjIkS69PQMhAT5M+1KVcxkGA0hRaNO46yFulOS4nHh6h0ZRiOJZvrKEI/HY16rqGtBSUVdhtEQQv4pDger3B4hIuQtPr71Rcj//4uNzt833t8jw+B+YBszM1i/UlVUN7dEBT19aGlpQ1tbG9aNm+Pa+U+5Hic+NhrnD67FrdOuaNtzJOzsx0BeMWuhybTUZCTGxcBlXn/EfItg+hu16QVBRjr+x95dBkSVdnEA/0/RDYIiKAJiKwao2IpdGNiFirl2d3fHWmvn2oqdGIAJtgKKUpLSHTPzfuDdO1wJlZg7wPl9es5z6+i6xJnnnqdV9+GwqtMEEokEgZ/fwvu1O3zeeCApMRZWdZrAvvcY6OgbZbUheO2GR9eO482TWwAAJWVVLNx1C+Uq5L/LaWZGOqIjviMhLgoJsT/wwfMhUhLjUbVuEzRu04tV0FQEwd8+4eVDFybW0NJF3YZN8eThTaxc9JKZ1zesiNr1GmHRgnlo16pxvvfMyMxEr/5OzIrd/EilUrz38sA4Jw/ExsVhzpQxePDIA/37D0CA30cAQFpKEg6s+wsGRqaobFW3gH/SwqnRoAWW7L2H4K8foKahA30jEzx3vYhDG6bmODclMR67lzuj98h5SE6Kh7/PKyirqKOJfV8YV7biIHtCCCFEcTTrOADXTm5Fxv/fKOrXtzeeeLjD0vz3N2ElpLg9euLJWmhiWcuGw2wIKRpVqtWHlm45xMdEAgDOnDuPgX26cJyVDBV9OZR9MyAlZdV8ziSElEYCoQiVreqislVdtO3pBCDr9fuvn7zg7/MKPB4f5jUaQiAQIjIsEF8/eeL983u59v8OD/FHeIh/gXNJSojFleObEfjlPcYt/gdSqRSndi6A282TkEqlOc5/7noJAPD+hSsW/n0LR7bMgN8H9qqSoC/vce/ifgBZvVwzM9k79KanpSDi+7dci75Bfh/w7tldeL/xQIDvGxhWrILgrx9Z53g+vooHLocxf8c1iJQUp0XFjVPbWX9nifEx8HC9nuO8qIjveHjnOzwe3sSu/ccxemjfPO953uVOjoKvSFkFdWzaoUHzLoiLiYSX27Uc/w1WLZ2P4QP7oHHDOnj3+jmGOU/GpX8PAshaRXty53zM2XIZ/GwfQsoTj8eDqUVtJrZt0wt6hiY4unkGIkMDWOdGfP+KPSucWXPP7l/Asn8eKFzhnxBCCJEnDW09tOo+HHfP7wMA/AgPRpfuveD97sUfbUBLSHG6eceVGYuUlFGJo4UHhBQlvkCAuo3t4XYzaxO3h3evQywWsxZ5comKvhwKjwhnxnw+HxKxmLNfvAkhikHXoAIatuiKhi265jjWtqcT0tNS8dHzAbzcruPds3tITSnazdkC/bJeuXrlfh2Pb5z45fnpaSk4uXN+jmLjz34u+P7HxLxGjrmHV4/i312LWHM/F3z/Exb0BdERITAyMf9lrvIS8OXdr0/KJiM9DWNHDEB09B7MnjI613PEmZms2L63M7oMmgJVNU1mrm1PJ8T8CIX7zX9x7eRWAEBCbBT+mj4P547vg6aGOi6eOoDRevo4sGsDgKxWD4+uH0fr7sP/KOfiZFnLBgv/vgWXYxvh6nIYEnFmnufGx0TC/fZptHMYJccMCSGEEMXjMGIOwoP88O551qvFnz964dCJixg1tA/HmRGS5YmHGzOuUr0+RCLF6XtKSGFY1bNjir4xP8Lg/uw1Wto15DirLFT05VCD+vVxMevfBaLCg/H03jnYdejPbVKEEIWmpKwCa7tOsLbrBIlYjIiQbwjy+4Agvw+I+P4NiQkxSE6IRVJCLNJSkiBUUoZIpAyxODNHj9mfqaproffI+UhLTca5f1b+dk7+vq8L9GepaFYd2npGAACxOBPvX7jC7cYJvH/h+osrZaztOsKwYpUCPb+4tO05CpcOrWFesfyPSFkFjdv0Qvu+4xD89QM+eT1mfjiQSMSYM9UZ7u7uqGhiAjU1NWhoqKNxo/ro0MYOaensonl16+asgu9/dA0qoOvgqfjm8wofPR8CAC6cOoAzfXqjX69OAICt65fh6uWzCP/uDwC4fHg9Pr16DBVVDXQdNEUh/j6VVFTR13kRWnYZgouH1uC1R1ZLEIFQBHFmBuvc+5cOonX34RAI6EcaQgghZZdAIMSouTuxxLk14qKyFhdtWL8WToN70WpfwjmxWIy3Xk+Z2LLWn22STIiiEoszcfPfnaw5RdrIjX5D4tCMSaOxc9tG5hdvl2ObYNumF4QiJW4TI4SUCHyBAOVNLVHe1BI2rXvme65UKsXXT554du8CXj6+gpTEeACAipom6jVpj4YtuqF6g+YQiZTx7tm93+4tDGT1MfJ+7ZZrG4i8aOoYoPfoBQCAz++e4dDGqX/0TL5AiM79/0KXgZPB4/F++zp5aNvTCc07DkB6eiqEQhGEIiUIhCJWnobGZmjQvCtMzGvi9O7FzN+dy9nDOe6noqaRY6O9uOi8N4Lj8XjoN3YpVkzoAHFmBqQSCYYMcED60TMY0r8HNNRVsWnrDgxx7A4ASE1JxNundwAAsVGhmLb2dGH/CoqMYcUqqNe0I949uwfw+DAxr4G4qHDERoUx50RHBOP+pQOsTWwIIYSQskhZRQ32vZxxfn/Wh/c+71/iwtV76NujPceZkbJu0qylSIyLZmLL2vnvZ0FISeH79ilCAmSbnfcZ7AybBrXzuUK+qOjLIVUVZSxeugoTnQcDAOKiwvHK4yZsWvXgODNCSGnD4/FgUbMRLGo2guPYxfjy4SV4PMCilk2OV6v0y5uCx+dDKpHkuI+WbjkYV64GFTUNfP3kifiYSHx69Zh1jrqmDnh8PpLiYyCVSqGpYwBTi1owNa8FE/OaMLGoCcMKZuALBIiODMHuFaOZIvSvaOsZonnnwWjeaSB09I0K/hdSzJRUVFkb4uWlVbdhUNPQxuFN0/NsY/BzwVddUweWtfNfHWFkYo7uQ2fg0qG1ALJaSDgNcURk1B5Mm+CEwX274Z8ODnh4+xLrOt+3T3Fm7zLUbWyP6tbNfpm/PFw9sQXi///dBPi+yfWcCwdWo2KVGqjZoKU8UyOEEEIUTvPOg3Dz9E4kJcQCAFavXk1FX8KpE2euYM/WVUysV64iLGvTJm6kdEhJimPFs6ZN4iiT3FHRl2NjnfpjxbKFCAv+BiCrlyUVfQkhxUmkpIIa9Zvnedy4shXmb7+Gj16PIBZnQsAXwtjMCqYWtZh2DMvH2TM7lP4sKSEWBuUrYdra09AtVyHXNgQAIJFIcGTT9F8WfHl8PqzqNkWLToNgbdcRAqHoN/+kJYNN657QMaiAO+f3IjriO9LTUpCeloLkhFhWiwhVdS006zQAbXo4Qa+c8S/v26HvOIgz0nHl+GYAWX2Vp08ciTdv3uHArg04/+9hjJ00C+dP/MO6zvXyQbhePojBk9eieaeBRfuH/UOpKUmICgv6rXNNzGsWczaEEEKI4lNRVUfrHk64dmILAODVswe4+/Ap7Fs14TgzUhbduPsYziOHMG+1CYQijJq3k/r5klLDoqYN+AIhs4Bn5+79aLx/G8dZyVDRl2MCgQBDR4zBhpXzAAB+H17gzZPbqNe0A8eZEULKMhPzmvkW0QwrmiM08HOex3+EBWL7gsFYvOdunue8fOgC37dP8jyurqmDbkOmo0HzLtDSLfd7iZdQVWvboupPq3czM9Lx5cNzfPN+BW09QzRo0Q0qquq/fU8ej4cug6ZAqKSMiwfXMPNH9m2B58tnaNGqLVq3agVLC0usWz4nx/Unts+FSKSM+s27QElZpeB/uEIQCAQQCpVy3QhQpKSCjPRUAIC+kSlSEuOhpWMg7xQJIYQQhdOmxwjcPb8XaanJAIBlK1bBvtUVjrMiZc3VWw/h2Lsb6601x7FLYF69AYdZEVK0tPUMUd+uEzwfXwUAXDxzFHFbVkFbU4PjzLJQR3cFMGPyGCgpy14D3rPCGe63/uUwI0IIyd+IGZvRzmFUvufERUcgLNgvz+NvntzO85hQpIzxi/ejdffhpb7gmxehSAnVrZuj84BJsOvQ/48Kvtl16DsOo+f+DVG2wu17Lw/s3rISk8YMybXg+5/Dm6Zh8eiWCAv6UqBnF5ZISQXDZmyCSCnnapBm2VYhR4UH4fqp7XmuPieEEELKEnVNHbToMpiJ3e9fwzPPdxxmRMqayzdc0bdXV1bBt00PJ7TsMoTDrAgpHq26D2fGSQmx2LLzAIfZsFHRVwEYldOD4+DRrLl//17E9GEihBBFo6Kmgb5jFmPVYQ/YdegHXi67QvP5AhhVNM/zHrFRoXkeGzFzCyxqUa+vV+43cGbPUoQE+BbqPg1bdsOsjeeh+xttIX4WFxWOFw8uF+r5hWHTqgeW7X+IgRNXoU0PJ9Rq1Bp1GtsjJvI767znrhfh88YDj64d5yhTQgghRHG06+UMoTBrg3CpVIr5i5ZxnBEpKy5du4v+vbshLSWJmWvnMAqOY5co3AbMhBQFy1o2MLWUbd62ef0KvPvEzaKZn1HRV0Ec3L0JfQY7M3FmZjq8Hl/jMCNCCPk1PcOKGDp1AxbvvoMGzbtgwMSs3aKFImV0HzoD6po6eV7bqtswVixSUka1enaYuOwwGrboWqx5lwQ3Tu/EvlXj4OpyCFvm9C/0B4GmFrUxd9sVdHScAKu6TaGjX/63r61QyapQzy4sXYMKaNl1CPqNW4q/lh/BhCUH0DaXleYH10/Gqb8XwPu1GwdZEkIIIYpDR98ITds7MrHrzQt44P6Sw4xIWXD28m3079ODaS0CAPZ9xqCP8yIq+JJSi8fjoX3vMUycEBuFocNHcpiRDPX0VRBKSiKcO74PZs/cEfDlIwAg0O89x1kRQsjvKW9qCef5uyHOzIB1045Q09CCSCn/PrC2bXpBR788Ar+8RyXL2qhSvf4vrylKYnEmPB9dxSv364gMCYCeYUU0btsbdZvYyzWP3Hi5XYfLkQ1MnBgfjWsntqLfuKWFuq+WjgEcnGTtHFJTkhAZ8g0/woIQGRKA+5cPIC46gnVNeVML1GuqeLt+W9VpAts2vfDc9WKOY0/unEV167w3KySEEELKgs4DJ+HpvXPISE+DVCrFzNlz8dI97/0WCCkM92evMKS/A9LTUpi5Do7j4TBiDhV8SanXqFUPvH/hyvxu8ubFYyQmpUBDXfUXVxYvKvoqGFU1WbNnYSnboZ4QUvoJhCJo6xn+9vlWdZvCqm7TYswob/vXTMRrj5tM/N3fG++e34OahjYcnOaieaeBnP2Amltf98fXT6DH8FkF7u2bGxVVdZha1IapRdbrSC26Dsa9C/uRGB8NHf3y0DOsiDq2bTkvguelj/NC+H18gajwYNZ89fotOMqIEEIIURy6BhXQuvsI3Dm/FwDg6XEP513uoE8Pxfswl5RsEokEE/6azCr4dur/F3oMm0kFX1Im8Hg8tOw6hLUgJSA4BLWqWXCYFRV9FU5qtr43SipqHGZCCCGl25cPL3KdT06Mw8kd8+D34QV6jZz3yyK2VCpFcmI81DS0iuSHWolYjO/fPuWYz8xMx4/QAJiY1yz0M/KiqqaJbkOmFdv9i5qWjgEW7rqNwC/vIM7IgFQqgZ5hRZQ3teQ6NUIIIUQhdOw3AW63TiElMR4AMG/eXPTq1g78XPZjIKSgDp64gLcvZe21WncfTgVfUuYo/7Q4JzomjqNMZKjoq2DSUmWfjCkpc7cM/Ku3FxJio1DHln4gIISUTj2GzcTp3YshzszI9fiz+xfw7P4FmFlZQ1vfCEnxMahapzHaOoxCcmIcHt84gRB/H/i88YA4MwMNmnfBiFlbIRIpFyqvLx9f5Gix8J89K5yxbP9DCAT07fs/KqrqsKrThOs0CCGEEIWkrqmDjn3H49LhdQCAzx+98M/Rsxg7oj/HmZHSIjUtHYsXyNqHaeoYoMfwWVTwJWVOVFgQK7ayMOMmkWzot0YFw+cLmHFGWionOXjcPo1jW2cDABq26IaRc3ZQ4ZcQUirERoXj6vHN8Pv4AsaVq6Fhi6547nop32v8fV8z4y8fnuPexf3IzEiHRCJmnefldh0AD6Pm7ABfIEBBPb5+ghlraOlCKpUgKSHrU+Ko8GB8fveU+tUSQggh5Le16eEEV5dDzIfKK5YugtOg3lBSonaCpPCWrN6C0KCvTNx96AyoqmlymBEh3Aj6+pEZa2jrwaicHofZZKFKnoIxNq3MjCNDA+T+/O/+Pvh31yIm9nx8FXfP75N7HoQQUpQkEglun92Dpc6t4X7rX4QF+cHL7XquBd/TF27A2rZVnvdKT0vJUfD9j5fbNdw8vbPAeUaFB8Pr8TUm7uLQHyvWbmGd4+/zpsD3J4QQQkjZo6Siiq6DpjLx94DPWLxqSz5XEPJ7Lt9wxebVi5nYuHI12HXox2FGhHAjNPAzbp/bzcRVLGtwmI0MFX0VjJmZrMlzZKi/3J9/49R2ZKSnseYeXjuGAN+3cs+FEEKKyqVDa3Hx0BqkpSbne561bSv07dkBr549wGe/ACxZsw02ze1hXMkSyj/1WefxeNA3rJjjHh88HxQ4z49ej1gF5ckTxmDaBCdUMDVn5lxdDiEhLqrAzyCEEEJI2WPXoR8MK8p+nti6fhk++PhxmBEp6V6/88aQgX2RmZnOzPUds5jakJEyJyEuCruXj2a9rT9n9px8rpAfKvoqGHNz2Tfi6Ijvcn9++PevOeaiI4JxYuc8SCQSuedDCCGF9ebJbWbX6v80btERNa2bwKiiGZq27oypc5bj4rW7eOlxj2lnY2leCUvnTsbzx3fwPeAzUlOScPOeG7r2HoJBI//Cmw+++BEejONnr7DuXZjWCypqGqz4uWdWa4kJk6Yzc/Exkbh4YE2Bn0EIIYSQskcgFGHgxJVMnJaajGEjnOl3PPLH0tMzMHfJetSvWwOJcdHMfI/hs1CjPrUgI2VLemoKdi8bhcgQf2ZuwPAJGNyvO3dJZUMfwSgYLS1Z75ufV9wWN7E4E0nxMUzMFwghEWcCAIK+vMeX989gVbepXHMihJDCSE9NwZHNM5iYx+fj7MWb6NOjfYHu17FtM3Rs2wwAcPfhU8xZsBQ3Lsp68KqoaqCtw6gC5/vN+xUr1tfP6gM1f8Z4XL92FU8e3gQAvH/pWuBnEEIIIaRsqm7dDHYd+sPj9mkAgNdTV2zccRCzp4zmODNSkkyZswx7tq5izTW1d0SnfhM5yogQ7pzYMZf1O1w925Y4uGczhxmx0UpfBaOkJNv1PTOPHeWLWmJcNCK+f8OlQ2sR8yOUmV+0chM0dfSZ+Mndc3LJhxBCisor9xtISYpn4soWNQpc8M3uW2AIunVqxyr4AkC3odOhrqlT4PsGfnnHjKvVboQhjlmfEPP5fAwZMpQ5lhD745etKgghhBBCftZ71AJo6ZZj4uWLZiEgKDSfKwiRSU/PwKmj/7DmrOo2waBJq8Hj8TjKihBu+LzxYO0RU9miJu5evwxVFeV8rpIvKvoqGGVlJWYsEWcW++s2/j6vMX9EUyxxbo27F2RfvI2MzTBp7HB06taXmXvldh0ZGfJdfUwIIdmFB3/F/cuHcGzrLLx4cBlSqTTPcwM+v8Px7XNZc3XqNSqaPCJyFl3tezujbc+RBb6nVCpFiL8PE3ft4cC0mgAAUxNj1vkJsT8K/CxCCCGElE3qmtoYMGEFEyclxGL1xh0cZkRKkhNnryAuOoKJK1SqinGL/oFQpJTPVYSUTi5HNzBjVTVN3LxxFQb6BV8AVByovYOCUfnpEwFxZjr4SirF9ryPXo9YzaYBQElZFecvXIC+rjYGD+qPs8ezemGmpSYjKiwI5U0tiy0fQgjJTiqVIiM9Da4uh/D07lmEBck2HPG4fQZuN09i4MRVOb4uSSQSnPp7ATKzfVBlaFwZSxbOLpK8KhobseLyppboPWpBoVY4pCYnsFYlV7WwYB2Pjo1lxVIpEPMjFEnxMTAxr1ng5xJCCCGkbNErx96IViAQcJQJKWlOn5G9/atrUAEL/74FPv37IWVQePBXfP3kxcRjJ81C9apVOMwod1T0VTDZV/oCWS0eRMVY9NXQ0ssxt37rbjRrXB8A0Mi6FutYZGgAFX0JIXKRmpKErXMHIODz2zzP8X37FKsmdkavUfPRtqcTM+9x+zQCfN8wcY9+I3Di4C5oqKsWSW6Tps9jxf3HLyv0K20qappQ1dBCSmJW4feTtw/reL1a1VnxnuWjERroC6lUijY9nNBv3NJCPZ8QQgghZUNmZjrXKZASKi5WtgeQec1GVPAlZdbzB7K2DkKhEmZNHcdhNnmj9g4KRktDnRVHBH8rtmdJpVL4vPFgzS1YsQlTxg1n4gpGBlBV12LiH2GBxZYPIYT8Jyo8GKv/6pxrwZcvEEJdU5uJMzPTcXbvUjy8dgwAkJGeikuH1zHHDY0rF2nB98i/l3D59CEmrm3TFtWtC79TMY/Hg5GxORN/8v7EOm5dpzoa2rVj4pAAH6a9havLITy+zu4vTP6MVCqF56OruHfpAOKiw7lOhxBCCCk25jUawtRCtrjn1NF/kJiUwmFGpKRQUZX9PJ2ZQR8ekLJJKpXi+f2LTGzbwh7G5cvlcwV3qOirYNq0bAJlVVnh9+Ujl2J5TkpyAg6smwQvt2vMnF2bLli5cDrrPD6fj/IVKzFxZCgVfQkhxSs00BerJ3VBZGhAjmMVK1dFeHgkAgIC0G/YOPCy9bw9vWsR9q0ah63zBiEpXrYKYeiIMUVW8I2KicPk8c5MrKSsCsexS4rk3gCQlChr4aCqkjPnObPzbk9xcud8XDu5rdh7wZdW75/fx/61E3Fu33IsG2sPt5un8u0ZTQghhJRUPB4PXQdPY+LYqHB06NYHUTFxHGZFSgJVNTVmnJ5GHxSQsikuKpy1IHLgwEEcZpM/KvoqGE11NZQrb8LECbFRRf6MIL8PWDO5GzwfXWHmlJRVsW/39lzPN6kk60vy7tld+kSPEFJsxJkZOLljAZITc/7SMXzcdLx/4wkDfR3o62rj9JHd2HvoX/D5Wa+VSaVSvHK/ga+fPFnXud6/W2T5PX7yEvHZNlCrUr0+DI3Niuz+qmqazDg6OudGbX2626NuI9mqYmUVNdbxq8c34/KR9UWWT1ni/1nWDiQlKR4nts+F281THGZECCGEFJ+6je1RybIOEz95cAP16tvg5esPHGZFFJ2Kiqz15M97AxFSVkSE+rPils1sOcnjd1DRV8Hcuu+O4G+yPo4WNYtmp/n/eL92w4aZvREZ4s/Maero49ipC6hVzSLH+X7fguHn+5GJf4QF4sndcznOI4SQwkpNScKuZaPw5cNzZs64kiX2HTkDsViMw7s3QUdbk3WN8zBHrNu6L99+uiHB/kWWo22Duqxn+bzxwNl9y5FeRD/0mtdowIy/+OT8pYvP5+PODRes3boX1+8+RmpKEtZv288657X7zSLJpawRCkU55l653+AgE0IIIaT48Xg8DJ+xGdr6ss1pvwd8RotmTTB/+UZkZGZymB1RVGqqtNKXkOy/IyirqsPKojKH2eSPir4KZs36jcxYRU0TNm0cCn1PqVSKqPBgPLx6FLuWjmR9IlerflN4eXqhX69OOa77ERWLJk2bIiTQjzUf+OVdoXMihJDsJGIxdiwcio+eD5k5AyMTvH/jCedhjuDz8/52NXPSSOw9fBqtOjigaatOsGluj8qWNaGkrApVNU1MmDQ9z2v/lHH5chjoNJE1d//SASwfb4+7F/YhKSE2jyt/7ec+6+WNK+V6nqGBLuZMGYPO7bJW/M6aPApaurIeUgYVcr+O5E8oUsox5/PGg1o8EEIIKbWMK1th3rarrIVGqcmJWLNkFqrVaoAb99w4zI4oImrvQMq6jIw0vHCVbeLWpkNPqCjn/D1CUQi5ToDIXL/9CI/vyHr4Nm3vCBVV9XyuyF96ago83a7h9tldCAvyy3F8yKjJOLBrI5SUcq5uAoDZC1fiR3hwjnm9csYFzokQQnLz7sV9VlsGQ+PKuHnjBnR1tPK5SsZ5mCOchzmy5iQSCaRSKQRFvKvwsX+2wczMDBtXLWRW+EaFBeH8/lVwOboRzToNRM9hs6CipvFH9/X3eY3QwM9MPHjIsN++1syiGt6+jASAQn3fKMvKVTDLMScRZyIqPAgG5UteIT0jPRWhgZ+hY1ABWjoGXKdDCCFEQWnrGWLqmlM4u285Hv1/U1wA+Ob7Dl3bt0T3vsOxe/t6hd2kiMiXWraN3IrqTTdCSpJ3z+6xFvqMdXbiMJtfo5W+CiIlNQ3TpstWoymrqKGj47g/uodELMaLB5dxes8S/LN6POYMboSjm2fkWvAdM2kuju3flmfBFwC+fs15HZC12yshhBSF5MQ4/LN6AvYsH83MaWjr4YmHO+rXrVGoe/P5/CIv+P5331WLZsDN4wUsa1izjmWkp+GBy2GsmNAR3q/dBJ7XhAAAIABJREFU/+i+no+vMmNVdS2Mder/29fWb2DDjD+/f06rUwugjm1b2HXoj75jFrPmPW6f4SijgklNTsTVE1vhcmQD1kzuhsWjWuL7N2+u0yKEEKLAhCIlDJy4EpNXHoehsWw/F6lUCpezh1GtenWs2byHNosliIiIYMbKuWw6TEhp9+HlA2ZsaFwZPTq35S6Z30BFXwWQnJyKNh16wveDbJVb+77joK1nlM9VObnfPo2D6yfjgctheLldR2pKYo5zeDweJk5fhL3b1/zyfo1scjajNrOyRtU6Tf4oL0IIyS4lKR4nd8zH3pVj8PcSJ3i5XWMdr1q9LswrV+Qou99n06A2Prx+jh37jqNOw2asY9ERwdi+cAjuXtj32wVYv4+y7wFNW7aHpsbvr9ht364NM06I/YGwoM/5nE1yIxCKMHTqeqhpaLPmb/y7Ay5HN+ZxlWJIT02B+61/8fcSJ8wb1gTXTmzBvcsHweMLkJaShM/vn3KdIiGEkBKgRoMWWLj7FroPnQGRkjIznxgXjfkzxqNmvcb498INKv6WYZ8+vWfGxmbVOcyEEG6EBX1hxjZNWuTbhlARKHZ2ZcAHHz+0tO+KZ49vMXP65U1h39v5j+/1yu16rvMmZlZYsmYb3J+9QkBwKHZuWv5b9+vayT7H3Mg52xX+HzUhRHGJxZnYt2o8Ht84gdcet1gtHf5TtVrJ+QFSSUmEv5wH4+1LN7g/e8Uq/kolEpzfvwp/LxmBT16PkZGe9ytwcdERrH7pTe3s/iiPLh1agS+QdWx6++zeH11PZHQNyueYu/HvDnx+94yDbH7Ny+0a5g6zxfFtc/D+xX2kJicAyPr3J5WIAQCGFc25TJEQQkgJIhIpo8vAyVi0+y5q27RhHfN5/xID+3RB3YbNcN7lDkcZEq5IJBJ89ZVtNFyxSsn5mZ2QoiCVSllF3+rVC/dmqjxQ9Y4DYrEYx0+7oGmrzqhT0wqeT+4zx/QMTTBl1Ukoq6jlc4ecJBIJ/D+/Yc31Hz4et1zdEeD3CUvnToadrTVMjX9/9XBSUjIrnrzqBMpVUNxdCQkhiu/8Pyvh/TrvTUFU1DTw1/g//9BLEdjZWuPVs4eYs3gdqwD74eUDbF84BAudmuPuhX25Fn8fXDkMiVi2S3afHp3/6Nm6OlqoZd2YiS8dWotPr2jzlYKoVq8ZbHPZRDU5KZ6DbH7t/P7VSEnMPTeRkgqUlFVZG/QQQgghv6NchUqYsPQQxi7cB92f9nT58Pop+vbsgHo2LXDpOn3QXFb4B4UiITaKiU2qKH7Bi5CilJQQi+TEOCauVVPxP/igoq8cRcXEYd7SDTAxq4qhA3ri6aObkGZ7NcagfCVMX3ca5Qqw87rH7dOsX/pOnb+Ofw/vQofWdgVamRsYHIYhg/qx5kwtav3xfQgh5D9uN0/B1eVQnserWNWGn99XtGjSQI5ZFS2BQIC1y2bjzIXr0NDSZR2Lj4nE+f2rsGvpKNZrkWJxJqtvbJOWnQrUz7hz1+6s+NTO+dTbtwB4PB4G/rUaVarXBwAoq6qj84BJqGPbjuPMZMTiTObDA1V1zTzPs23jgGHTN/3xB8mEEEIIkPU90dquI5bsvQcHp7lQ19RhHX/70g29utqjfuPWuHrrIUdZEnl58syLFVekoi8pY4RC9p5YqalpHGXy+4S/PoUU1tuPn7FyzSZcuXACqck5++zy+QJY23WC49gl0NH/sz6+QFaPpYsHZT169Q0romeXwjWTPnn2MuKiZU3aG7bolqOAQQghvyslOQFn9y7L95zwkECUN9SXU0bFq0+P9rB6+hyDh47AO0/2hm7er92wZnJXdHScAMvatrhzfi/iYyKZ439NmligZ86eOg6H9+9GREgAACAyNADBXz/SB3YFoKKqjhkbziEsyA/6RiZQUf39/srFzd/nNfavnYio8OA8z6lYpQaadewP2za9cvyCTgghhPyprE3Gx6Nl1yF44HIYdy7sYy04ev38Ibp3ao3p81di06oFHGZKipPnK9mbxaoaWtA1qMBhNoTIn4qaBrR0yzG/u334pPibJVPRt5gd+fcSxowYiPS0nK/zaumWQ/POg9C808BCfcH88PIBa4n5+k3boKqinM8VvxYaFs6Kh07bUKj7EULKtpBv3khPS2HiTTsPYtnC2YiP/cHMjR4/vVT1DK9TwxJvX7ohNi4BZy7dwDinAczK2+CvH3Fg3V85rtHRN0I/h04Fep6+rjZ8vd9DR0u28vP1k1tU9C0ggUCIimbVuE6Dxfu1O3YvG8X6fym7Orb26DVyDipUspJzZoQQQsoCVTVNdB4wCa27D8f9y4dw7+J+pGRrf7R17RJsWDGPwwxJcfr48SMzNq5cDTwej8NsCOFGOWMzpugbFBjIcTa/Vnp+u1ZAu/afxKih/XIUfKtUr4+Rs7dj1WEPdB8yvdCfkGVmpjNjkZIyRgzqVaj7AUB0VLZePeY16dVQQkihpKWye4QP6e+AI8dPoZ5tS3TvOxxPXrzBtvVLOMqueOloa2LM8H7Ytuco+HxBvucuW7UeImHBP4/V1tSAXZsuTPzhhWuB70UUz+ndi1kFXyMTC9bxpIQYKvgSQggpdqrqWug6aApWHHRDdevmzLxEIkb1OjbUXqoUkkgk8PWWbTpcoVJVDrMhhDua2rI3U6Ojf+RzpmKglb7FZO2WvZg/cwKrZ2+jVj3QzmEUzKpZF+mzNHUMmHFGehri4hOhq6NVqHsGBwcxY3o1lBBSWMHfPjFjHp8PXR1NOHS1h0NXew6zkq9JY4agZTNb7PnnCFwunkZIoB9zrEGTNli9agU6tm1W6OeYVpJtuJnXilBSMmXvBQ0A4cF+rLi8qaU80yGEEFLGqWtqY/S8XZg7xAaZGVm9LT9/9IKGhgatAi1l5i5dj2++75lY0d6GIkReshd9A75+QXp6BpSURPlcwS1a6VsMFq7cjHnTx7EKvn2dF2HUnB1FXvAF2P/oACAgKKRQ90tMSsGzx3eZ2MS8ZqHuRwgp2/w+vMCVo5uYWFffqFCrWUuyerWssHvrKgR988WdB08wY8FquNxwheeT+0VS8AUAX29Zgd3IxLxI7kkUg5lVvXyPW9t1lFMmhBBCSBZ1TW2MnL2NtRCJlC4xsfHYvmEFE2to6aFhy+75XEFI6ZX996ugb94YMmoSh9n8GhV9i9AD95do1MweqxbNYOZ4PB4GT16Ldr1GF9tz9QyNWfHdBx6Fut+p81eRkpzAxA1bdCvU/QghZZfPGw9snT+Y1YamZ9/BHGakGPh8PuxbNcHGlfPQvVPrIr23jq4eM/7y/kWO1hqk5GrVfRiUlFVzPWZZyxY1G7aSc0aEEEIIUL9ZZyzb/wAd+o6DUKjEdTqkiL14/Z718+TwGZtzLDwjpKxoYu8IfSMTJj57fC+WrdvBYUb5o6JvETnncgcd27WAp8c9Zo7PF8Bp1jY07zSwWJ+trWeECpVlPfyuXr1SqPudPn2GGesZmhTL6mRCSOknkUhwevdi5nU/AOjcazB2bVnFYVal37gxzsw4MT4aRzfPRGRoAIcZkaJiXr0BVhx8DKdZW9G6+3A0btcHfccsxuzNlzBt3WkIBGVzBT0hhBDuqappotfIeZi+/syvTyYlirfPF1ZsVbcpR5kQwj11TW2MX3IQKqoazNzyBdNx3uUOh1nljYq+ReDStbsY0t+BtWGbsqo6xizcC5vWPeWSQ11bWV9Mjwc38DXge4Huk5CYBDfXG0zcsEVX6sdECCmQp3fPITTwMxMPHzMNV88dhYoyrQApTn17dkDVmg2Y2MvtGpY4t8ahDVMQGujLYWakKGjploNtm17oP345RszYjHYOo1Clen3w+fQjHSGEEO5VsqzNdQqkiH358pUZa+sbQUlZhcNsCOFeRbNqGDV3B3j///lbIs7E5EkTcuy/oQjoN4RCkEgk2LX/JAY4OrBed2jRZQhWHnRDvSbt5ZaLTRsHZpyRnoZlqzYW6D6HTpxHWkoSE1NrB0LIn0pPS8X1U9txfNtsZk7f0Bi7t62hwpQc8Pl8bN68mdUGQCqR4LnrJSwf1x4nd8xHanIihxkSQgghpLQSCEW0aKiU+fZNVvQ1KF+Jw0wIURy1bdrCYfgcJg4J/IL7j59zmFHu6D3AAkpITEKbDj3g+eQ+a75T/4noMWyW3L/RVTSrhpoNW+Gj50MAwOtXLwt0n5MnTjJjw4rmqFS1TpHkRwgpfTIz0vHN+xXS01IgUlJG4Jf3+Oj5EJ/fP2e1dACA2fOXQVVFmaNMy55uHVvB49lLLFq2GrdcTkMizmSOPb5xAh88H2LYtA2oVs+OwywJIYQQUirxeIBUynUWpAgkJqXA68UTJqaiLyEyrXuMwPV/tzMLJ/cfOgr7Vk04zoqNir4FdOjE+RwF3w59x3FS8M2Nnn65P74mKCQcL7L1JLZt46AQfxZCiOJ5++wujm2ZhcT46HzPEwqVsGztVsyeUnybWZLcNaxXE9cvHMcHn2VYtGwNrpw7zhTjoyOCsXXeQLToMgS9Rs6Fqpomx9kWH6lUCleXw/jk9QjibMVvQgghhBQPHniQgoq+pUH/oc4ICZT19DWzqsdhNoQoFiVlFdRr0gHPXS8CAK5eOInYbeugo604v1vRe7YF9OmTDyseNm0jHJzmclYkTYyPgb/PayauYm7xx/fYd/AkazWYbbaWEYQQ8s37FY5snoElzm2we9moXxZ8y5tUwcWrtzF/xng5ZUhyU6uaBS6c3A/P1+9QuwF7Ze/j68exYlx7fPnwgqPsip/v2yc4u3cp3r+4D6kC9tkihBBCSh1aN1QqrNzwN65fPMHEpha1YNehP4cZEaJ4WnQZzIyTEuKw+e8DHGaTE630LaCgoEBmbF6jIZq2d+QwG+DC/lVIToxj4k7t2/3xPc6eOcWMzWs0QLkKlYskN0JIySIRi/HuxX18ef8MESH+SEtNRkLMD4QE+OR7nVCohJrWtmjdtj369OyK5k1ocylFUrdmVbx+/ggLV2zG5rVLkJ6WAgCI+RGKPctHY82xZxAplb6NOaT0eikhhBAiZ1T1LenuPXyGZQtmMLGqhhac5++hTdwI+YlFzUaoZFkHgV/eAQAO7P0bS+ZMgkAg4DizLFT0LaCMTNmK2MjQACQlxEFdU5uTXHzfPsGTu2eZuEnLTujbs8Mf3cP78zf4vJOt9LJpTat8CSlrxJkZeO56CTfP7ELE96+/vgBAl16DcXDvdiQkJMLIUB+aGurFnCUpDIFAgDVLZ2GAY09Y167GzCclxEIsFkPEYW7FpWqdxtDRL4/YqLC8T6K6MCGEEFJkeKBvrSVZSFgkBg5wZO3R4TRzK8pVoH6+hPyMx+OhrcNIHN44DUDWhm4nzl3FsP49Oc4sCy3BKqBePWX/ARNif+DS4bWc5CERi3Fg3SQmVlJWwaH9u/54dd2h42eYMY/PR4PmXYosR0KI4gsN9MXy8R1wdMvMfAu+KmoacBgwEms274H789e4duE4jMrpwdK8EhV8S5B6tawwfNx01tz+NRMgzszgKKPiIxAIMWDCCvDy+b6YmZkO79ducsyKEEIIIUQxzV+2FpFhQUzcZeBk1LH98zeJCSkrGrboBm09QyZevnQJa6Eol6joW0BjRvRDQzvZFz63GycR4PtWrjnEx/7Aqr86Iz4mkplr2LQNqlet8sf3unL5IjO2rGULLd0/3wiOEFLySKVSfPR6hA0z++Qo9uoalEe1OjZQUdOAtp4hxk9bCH//AFw8dQBzp42FnQ1t5FCSrV+xEJUtazLxh5cPcOnIeg4zKj71mnbAkMn5fzi7fcEQXDu5DRKxWE5ZEUIIIaUUdXco0V4+9WDGVWs3RtdBUznMhhDFJxQpoU0PJyb2836DJau3cpiRDBV9C4jP5+PQfnZPG/fbp+Wag/vNUzl6bDZpYpfH2Xn7GvAd3m+fM3H9Zp0KnRshRDFFhPjj2f0LiIsOh9vNU1gzuSt2LByKlMR45hzjSpZYu3UvQoID4P32OeLjYhAdGYpdm1fAqJweh9mTomRooIt7t2+xXtVzu34S6WmpHGZVfOw69AdfkHdXK6lUiqvHN2PHomFIjMt/k0JCCCGE5IeqviVZwDdfZlzbpi34CtKblBBF1tZhJMoZmzHxlnXL4OsXwF1C/0dF30KoU8MSnXoOYGK3mychFstvCbfPGw9WPPqvOVi9dPYf3+fQsTOsjW7q23UudG6EEMUT8f0b1k7pjsMbp2HuEFuc2D4XQX4fWOf07O+Eb58/Ys6UMVBRVgIAiIRC2pCtlLKoYoLDh48xcWpKIt49u1tqNz/7nX/H3q/dsGFGb0SGcv9DGiGEEFIildKfI8oCn8/+rA+/K1SqymE2hJQcIiUVDPprFROnJieia3cHRMXEcZgVFX0LbUA/R2YslUhwYttcuTw3MyMdX729mHjyrKX4Z8dapkjzJ1wuX2DG5jUaQMegfJHkSAhRLLuXj0ZKUnyux1TVNDF78VpcOLkfSkqlcTsvkpdO9s1hXMmCifevnYjZAxvguevFfK4q3SJCvmH99F6ICPHnOhVCCCGkxJHSNm4lTmJSCmYuXINGjRqw5itUpqIvIb+runVzNG7bm4m/fHqNDl16QSKRcJYTFX0LyaZ+bVb8/MEluTw3PvYHMrK9gtusaeMC3ScwOAzvvZ4wcf1mtIEbIaXRJ6/HCAv6kmPexMwKS9duR0jId6xbNodW9JZBfD4fPXoPYM0lxkfj0IapGN+lMo5tnV1qV/7mJzEuCvcu/sN1GoQQQkjJUwZ/bijJomLiULdBY2xaNR+J8THMvJ6hCfQMTTjMjJCSp//4ZTC1lNUJvZ66wvXxC87yod/uC8ncjP1FUFvXMI8zi5amjj54PFmvpNDw8ALd5+TZy5BIZJvWUD9fQkqnB1eP5Drv/vghlsyZBB1tTTlnRBTJuNHD8jzmcfs0Pr97KsdsOMDLvfdghUpWck6EEEIIKfmo5luyLFm1Gd9837HmqtWzw6QVR2hBCCF/SFVdC5NWHIVISZmZu33/AWf50P/BhcTn8zHUeQoTC7P9hy1OIpEytPWMmNjb2zefs/N2+/ZtZlyxSg3oG5kWOjdCiOJJjIvKMbdk9VZUMqF2LgSoV8sKA4ZPyPN44Jf3csxG/oRCEToPmAQVtawPP5RV1eE4Zgladcu7GE4IIYSQvFDVV9Gkp2fg1n13zFiwCk1bdUYl8xowNa8OU/Pq2L9rE3NeOWMzTFp5DFNWn0R5U0sOMyak5NLU1kflqvWY+JWXVz5nF6+8t7Emvy37bpYi0Z/31C2oCpWqIjYqDABw6fwp7Ny0HII/2FlTLBbjxZMHTFyzQcuiTpEQoiCMK1fD10/sPuCL50ziMCOiaE4d/hs7t6yGrrYmNuzYj7lTxzLHcmsNUtr0GDYT9r2d4e/zGqaWtaGprc91SoQQQkiJk5qcCKlUynorlXDjmec7HDt1Dk/cH+PDm+dIS0n65TUOI2ZTXYCQIqCtJ+sCkJz86//3igut9C0Cr71eMmN1LR25Pbdph37MOCz4Gw6d/LNNd1zdXrB25qzZkL64E1JqZfvBu5J5DWxbv4Re1yI56Otqg8/nY86UMejcazAz/93fh8Os5EdNQxs1G7aigi8hhBBSQJGhAVynUObFxMZj4IiJaGprjb83LYfXU9ffKviWMzZD3cbt5ZAhIaWfQChbY5uZkclZHrTSt5Bi4xLw9qUbEwf4vpXbsxs064yLBhUQ8yMUALB71y6MHtr3t6+/5HKdGYuUVWBRy6bIcySEcC8uOgKej64ysXWjgm38SMqWGjVq4Mb/P0v093mFM3uXoe/ohay3WwghhBBCsosM9ec6hTJJLBbj0RMvXL1xG0f270ZUxPdczxMpq8C8egNUtqoHoUiJacCsrKqORi27Z80RQgpNIBAx48zMDM7yoKJvEZBKJMw4LTVZbq+zCIQi2HUcgGsntgAAvvj8Wc/Fu3duMmOrOk0gEsmnHzEhRL6uHt+MlKR4Jnbo0Z3DbEhJMWr4QOzYuAIZ6WkAANfLBxEVHoSRs7dDWUWN4+wIIYQQoogivvtznUKZIZFIcOD4eRw7fhyvnrux3uL9j0AoQrV6dqhauzGq1raVFXsJIcWKtdJXTCt9S6yYuARWrG9kItf+RQblZRuvJcbHQCKR/NYr2y+83sPn3Qsmrm3TtljyI4Rwz/u1OzOuZd0Ewwb05DAbUlLUtDLHoWNnMdppEFKTEwEAb5/ewcaZfTB+8X7oGVbkOENCCCGEKJqwYD+uUygTAoPDMHiEM9zuXc3zHMtathg0aTUqVKoqx8wIIQCgoq7JjMNDgjjLgxo6FpCvXwCcJ82FtbU1a962TS+55qGuKeshLBFnIjomPp+zZbb9vY8ZC0XKsGlNRSBCSqOU5AT8CAtk4rb2Hf9ow0dStg3u1x237z2EvqExMxf89SPWTu1RZvr8EkIIIeT3hQd/5TqFUm/3gVOoXad2rgVfoUgZ1erZYdj0TZi27jQVfAnhSCWL2sw4LPgbQsIiOcmDir5/QCKR4PINV7Sw744aVhbYv3Md4mNk/+EqVqmB9n3H5nOHoqelU44Vnzqf9yd9/0lJTcOVC6eY2NquI6t4TAgpPTLSUlnxhbMnIcnWkoaQX2nRpAGePnkCyxqyDzkTYn9g+4LB9IsdIYQQQhhSqRThtNK32ET8iIF9V0dMGD0ICbFRzLyGlh469puIKatPYNOZt5i65hSa2velTZsJ4VCV6vVZ8d2HHpzkQV8FfkN6egZ27DuO6nVs4NClLdzuXYVEImadU8e2HWZuOAdVNc087lI8TMxrQNegAhMvnj8Ti1dvRVxCIuu8jMxM/HP0LDo7DEZ5Y1PEx/5gjjXr2F9u+RJC5EtLtxzsOsj+H/8e8Bnuz19zmBEpiSzNK8HruRvadOrNzMXHRGLrvIGIDA3M50pCCCGElBXxMZGsfSRI0UlMSkGrdp1w7/o51ry1XUcs2nMHDiNmo7p1cygpq3CUISEkO30jU2jqGDDxY7cnnORBRd9f2Lr7MEwqW2Dy2KH4/NGLdYzH56NOY3tMXHYI45ccgIqahtzzEwhF6DJoChPHRoVjxYJpMDGphNETZ8Pnsz/WbtkLM4vqGDO8H25ePslanaxf3hRWde3knjchRH76jF4AYbaNGufOX8RhNqSk0tRQx60rp9GuS19mLjYqDNvmD0RyYhyHmRFCCCFEEYR/pzeAioNEIkFPx6HwfvucmVPV0ILTrK0Ys2AvtLIVlgghioHH48GsmuxNSa+Xz/M5u/hQ0TcPYrEYQ0dPwbQJTogMYzddVtXQQgfH8Vhx4DEmLDmA2jZt5bp528+atndEzYatWHOJ8TE4sGsDqltVwbzp4xASmPM1G1UNLQwYv5xe+yCklIsMDURmRhoTe7hex74jZzjMiJRUIqEQ1y+eRAv77sxcVHgw3G6eyucqQgghhJQF4UHU2qE4jJ0yH/dvnGfiCpWtsHjXHdi26cVpHYIQkr/sLR4+vfNEenqG3HOgal8eJkxfhOMHtrPm9MubwnHsUqw+8hS9nOZC38iEo+zYBAIhJiw5AKdZ22BqWTvfc3XLGaNNz5GYtPIY1p14ido2beWUJSGEK4c3Ts0xN3fmFCQkJnGQDSnplJREuHXlLKxqNWTmXj504TAjQgghhCiCMOrnW+Q2/30I+3euY2JNHQNMXHoIOgblOcyKEPI7LGo2YsYpSfG4cPWu3HMQyv2JJcQT90eseNi0jWjctjf4CrrrvUAogm0bB9i07gnft09w79IBvHsm+wdlZGKBTv0nwqZVDwiEIg4zJYTIk1QqRVjQlxzzMT/C4HLTFYP7duMgK1LSqaooY7jTKCyY6QkACPL7gLCgLyhvaslxZoQQQgjhSlR4MNcplCqpaelYMn8GE4uUlDF+8X6FWXxGCMmfRc1G0NQxQML/99Q6cfIUBvTuLNccqOibh8pm5njn6c7E3799UtiCb3Y8Hg/V6tmhWj07hAX74c2T2zCqaI66je1LRP6EkKL1+f2zPI/9+BGV5zFCfmXUsP5YMncqMjPTAQAfvR5T0ZcQQggpw+JjIrhOoVR5+vItEuNjmHjwpLWs18UJIYpNIBCifrPOeHTtGADgwd1rkEgkcm2xSu0d8tC1SxdW7P/5LUeZFFx5Ewt0dBwPa7uOVPAlpIwSZdvALccxWvVPCsGonB4MjSsxMW3mRgghhJRt2TcMJ4X35NlLZsznC1C/eZd8ziaEKCLrph2ZcWJcNDxff5Tr86nomwfn4Y6sWN+wIkeZEEJIwVW2qpfrfHmTKnDo1l7O2ZDSRllFlRmnpVKPaEIIIaSskkqliP//K8ykaHzy9mbG+uVNoaSswmE2hJCCMKtuDV62lb13XB/L9flU9M1DVEw8hEIlJjY2q85hNoQQUjB8Ph99Ri9gzalrauOz9wcYly/HUVaktEhKjGfGKqoaHGZCCCGEEC6lpiQiIy2V6zRKlQoVKjDjqLAgJCXQW1WElDSqapqomK2e6O7uns/ZRY+Kvnk4eOwM06cQAOo1oRVxhJCSqW3PUahWz46JkxLicPjkBQ4zIqWBRCJBdEQoE2vrGXKYDSGEEEK4FB9NrR2K2oA+PZixRCKG38cXHGZDCCko8xoNmLHr7SsICZPf10sq+ubh0sWLzNjEvCZtTkMIKbH4AgFGzNwKdS1dZu7E8eMcZkRKC2VVNWb8yv0Gh5kQQgghhEvUz7foqaursWI+n/bpIaQksmntwIxTkuIxa8FyuT2bir55+PpZ1ly5jm07DjMhhJDC09E3QvNOg5j4m593PmcT8mt8Ph89HYcw8UfPh/jw8gF3CRFCCCGEM1+9vbhOodTxeMb+OzUxr8lRJoSQwrCsZYPaNm2Z+Myxf/DI/WU+VxQdKvrmIjk5FT8ivjNxeVMLDrMhhJCiUSHbGwsRoYHw9QvgMBu/FHfhAAAgAElEQVRSGmxeuwwa2VaQXzq8jsNsCCGEEMKF9LRU3L90gImzb1pECu6l12tmrKGlR620CCnBHEbMAY/HAwBkZqRh2pQJcnkufTXOxZMXbyCVSJjY0LgKh9kQQkjRMDarxoylEgns7JrB883HfK4gJH9G5fQwfvJsJg7++hFJCbEcZkQIIYQQefO4fZrV3kEooDYEReHB/TvMuKJ5DaZgRAgpeSpWqY6O/SYycVpqslyeS0Xfn6SnZ2DOfNlO9wKhCEa00pcQUgqYmNdEbZs2TBwV8R3OYyfmcwUhv2Zlxe55LxQpcZQJIYQQQuRNnJmBO+f2MrF5tbrg00rfQtt7+DQ+vHrCxDUbtOQwG0JIUegxbCba9Bwp12fSV+NsvD9/g7VtC3h63GPmmncaCFU1TQ6zIoSQosHj8eA8fw/KGZsxcx/fPEdKahp3SZESLyo6mhkLhCIoKatymA0hhBBC5MnL7TqiI2WtEWfOmsthNiWfWCzG2CnzMX7kQGZORVUDLToPyucqQkhJwOPx4DhmMVp1Gya3Z1LR9//2HzuHRg0b4NObZ8ychpYeug2ZzmFWhBBStJSUVdB75HwmTktNxqyFqznMiJR0AQFBzFhNQ5tePSSEEELKkO/+PsxY16A8xozox2E2JZtYLEabzr2xb/saSKVSZr7r4KlQVdfiMDNCSFHh8XjoN24ZzKrVl8vzqOgL4EdUDJyHObL6EBpWNMeUNSdZG9QQQkhpUKdxO9buv//sXA+fz/7cJURKLIlEgiuXzjKxSZUaHGZDCCGEEHlT19RmxlKpFALq51tgKzb8jcd3XJhYKFTC4MlrYd/bmcOsCCFFjc/no32fMfJ5llyeouAiwkNZceO2vTFv+1X65ZUQUioJBEIM/GsVE6enpeK8yw0OMyIl1dOXbxH8TbbCp3G73hxmQwghhBB509Itx4zjYiKRkZnJYTYll9+3YKxfuYiJtXTLYcaGs2jeaWA+VxFCSqryppa/PqkICOXyFAWX/dWJwZPX0hdWQkipV6VafQhFysjMyOrnS6/kk4L49+wlZiwUKqFe044cZkMIIYQQedPWM2TGUokEwSERHGZTco0a+xdSkuKZeOjUDTCrZs1hRoSQ0oBW+mbjMGIOFXwJIWVCZmY6U/AFADU12nyL/LnbN68xY6t6TaGiqs5hNoQQQgiRN01tA1YcEBTCUSYl16ETF/DwzmUmbtSqB2rbtOEwI0JIaUFF3/+rUb8FOjiO5zoNQgiRC6FQCdr6Rkz82M2dw2xISRTxIwa+HzyZuG5jew6zIYQQQggXvnx8wYorGBrkcSbJTUxsPGZNn8zEqhpacByzmMOMCCGlCRV9/6/XyHn0ejMhpMzg8Xio1bAVE9+76YLEpBQOMyIlTXRMLKs9EvXBJ4QQQsqe5/cvMmOrWg1RraoZd8mUQOOnzkVUxHcm7j1yPqtPMiGEFAYVfQFoaOnC1KIW12kQQohcWdt1YsaxUeFYsX47h9mQkkZdXY0VZ2RrF0IIIYSQ0i/mRyi+fpK99eM4YBCH2ZQ8u/afxJlje5nYspYt7Dr05zAjQkhpU6Y2cpNIpLnOa+rQKyiEkLKnVqM2MLWsjaAv7wEAu7dvwNxp46Gro8VxZkVDIpEgISkZUdFxiImNQ0xsPGJi4xEbF4ekpCTYNqoPO5t6XKdZYr15582KlVWony8hhBBSliTGRbPidq1acJRJybNw5WasXjyTeWtKIBRh0KTV4PNpXR4hpOiUmaJvxI8YfPP3z/UYtXUghJRFfD4fPYbOxN9LRgAAEmKjsGD5BuzavILbxArho+9XnL14Dffu3oHXs0dISojL9/zGLTpi9crlaNvSVk4Zlh5Xrt1kxiqqGqhkWZvDbAghhBAibwYVKrFib98vaNPChqNsSgaJRILRf83Bod0bWfN9nReiQqWqHGVFCCmtykTR92vAd7S174DUlGQIBAKu0yGEEIVRq1FrWNSygd+HrE04Th8/UKKKvsnJqbh49Q4uX7kG90d3ERLo90fXP3t8C+1a3ULTVp3QoJEt1NXVYFapEoYOcICGumoxZV3yicViXL8q6+FXrZ4dBEIRhxkRQgghRN5U1TShrWeIuOgIAMCHT96/uKJsCwgKxcBho/DkwQ1mjs8XYMiUdWja3pHDzAghpVWpL/q+evsJnTp3RkRIANTU1H59ASGElCE8Hg/tHEYxRd/oyFB8CwxBlUrGHGcm8zXgO56/88fNa5chEadDV0cXysrKcHN7BK+nD5GWmlzoZzx5eBNPHspWrs6fYwQn57+wYPYk6OtqF/r+pc2B4+cR/M2Hies17cBhNoQQQgjhipGJOVP09fX1+cXZZdehExcw5a8xSIiNYuZEyipwnrcLdWzbcZgZIaQ0K9VF30vX7mLIQEckJcRynQohhCisylXrsmKP514KUfT96PsVi5atgcvZY6hQuSriosIRHxP5y+t4PB4qVa2Lmg1aorJVPaiqa0JVTQPKqhpQUdOAiqoG0lKTcOfcXjy8ehTpaSk57hEbFY4taxdh398bMWDoGCxZMAOmxkbF8ccscSQSCdatWcXEugYV0Kh1Dw4zIoQQQghXjEws4fv2KQDA3+8zx9koptsPPDB6eH9IxJnMnJZuOYxduBfmNRpymBkhpLQrlUVfiUSCdVv3YdGcyRBnZjDzyqrqyExP5TAzQghRPLyfN4zIY9NLefgeGoGLV+/A5coV3L9xgfka/t9mc3nR1DFArUatUbNhK9Swbg4Nbb18z1dSVkHvUfNh39sZdy/8g0+vHiM1OREpyQlIio9hzktKiMOBXRtw8shenL98DZ3bNS/8H7IEi4mNh9O4qfjq85aZa993LEQiZQ6zIoQQQghXDMqbMuPQ7/7cJaLAFi1ayir4Wtt1wqBJ/2PvvqOiuNowgD+7y9I7CCqCggZURFGx9957L4klUWOMib0nakzUmJhimiVGozEmGnuX2HtFEUSJFGkioPS+5fvDLwMbiihbYPf5neM5c8vceTfRYXj3zr0rYWXjoMOoiMgQ6F3SNyAwBJOmTsety6dU6lt3H46nUQ+REBuuo8iIiCqm2AjV9dda+DXSegwHjp3B3Dmz8SjkjrCLcXFqeNRHVnoqsrPS4eTijgZ+ndCgeWe41fF5rd2Ore2qYPDbi4SyUqlE8M0zOL7rR2HJCwDIzkzDp5+tQq8uR146ZkZmNgYOfwsXTx/FsDHvYPvP375yXBXR3sN/491JE5EYHy3UWdtVQZseo3QYFREREelSXGTBkg629lV0GEnFdPbSTVy/6C+UOw98G0MnfcTN5IlIK/Qm6Xv+8i18/9Mm7PtjC2SyPJW2gRMWoPvQd/HVnIE6io6IqOJKiIsUjs0srOFRq4ZWr5+Xl4+J48bgeeKTIm0isRh+7fuhx/BpcKnlpfFYRCIRGjTrjAbNOmP3xk9wev9moe3ymaPY8ddhjBnat8Tzc3Lz0K5zL9y5fg4AsOOX7/DJx/MrxHIZ5XH1ZiBGDumL/LxcoU5qYoqxH34OYxNTHUZGREREuqJQKHD/9nmh3LY916YtTKFQYPFHS4Wy1MQUPUdMY8KXiLSm0iZ9H4VH4Z/wxzhz7hJ2//kbIv8JLtLH0sYBY6avgm/rHjqIkIio4gsPuYXjf34vlGX5uaX01ow/9h0tkvCtUr0WvJt2QKf+E+Dk4q71mACg96gPcO/6KSQWSopPHDsMjvZ/o0fnNkX658tk6NlvuJDwBV7MHA558KjSJ30/WvapSsL3jQYtMHbGGjhVr6W7oIiIiEinosOCkZ6SJJT79u2lw2gqlqzsHAwcPg6XzxwV6tr2HM0lHYhIq3Se9E1Nz8Cho6ehgBKWFha4FXAXISEhcHBwRBPfRmju1wjedetgz6GT8Pc/DUsrK/z+60YkJ8WXOKZILEaHPm+i35uzYW7JXdeJiIpz7M/vcfDXL1Tqqrq4v9YyCf/Kyc3Dk6dJCHnwCIHBIXgcFY1atdzQrnULNGvsDamRERKSkvEoIgrZWTlIz0jHgrmzhPNtHJwx98s9cHB2LeUq2mFhZYsF3xzEzh+W4Oa5gwCAvNwcDB86CBcvXYZPvTpC3/iEZxgzfgrO+R8oMk744+gidZVJ4P1/cPrYXqHcsutQvDnji3L9PSEiIqLKL/jmGeHY2MQMA3pV7pm+cfGJsLezgamJcbnGSXqWgk7deiMo4IpQZ2puhe5DppQ3RCKiV6KTpK9CocCJM5exfsNm+B/Zg+ys9FL7i8USKBTyl45rbGIG39Y90XXwJLjW9lZXuEREeunq33uK1C1c/PErjxMVE4/xk6bhyvmTyMnKKLGfiZkFpMYmyEh9XmKftj1GVYiE77/MLW3w9vzv4FjVTZgRnZaciN69++D+vduwMDfDvI8/x/p1nyMzPbXYMVJSUrQZstrNWfCR8DNYLJag75gZTPgSERERgm+eFY4bNWsDSwsz3QVTTp99+SM+XvAhLK3t8OP6zRgzvN9rjzVszESVhK+ljQOmLv0Zto5V1REqEVGZaS3p63/mMrbsPIh79wIRdOcG4qLCynxuaQlfkUiEOg1aoGWXIWjStjdMzS3VES4Rkd7L+c8XbguWrsHUt8u+KZdCocDdoIfo3acP4mMiXto/NzsTudmZJbZ7+bZBjxHvlfn62tT/rTlIio8SZvzGRIbirwMncP3GLaz/dmWp59ZyqzhJ7Fe1Zcde+B/6Uyj7dehfoZLylY1CLkdOdgbfQiIiokovITYC4SG3hHK37j11GE35/fjdV1DIZUhLTsTYEf0RHbse3Tq3Q1Z2Dhp6e8LGqmx5hm9+2oqzJ/YJZecatTFt+VZUqeamqdCJiEqktaTvzOmTy9TPSGqCam51kJH6HMlJqms8Wto4ID83G7k5WQCAQRMWomP/8dxEhohIDVYvn4d79wLx03dfwrW6c4n9niY+x6wFS7Hvz23IzkwrsZ9YLIGNvRNSnsVDqVSWem3Phi0xZckGSKUmrx2/JolEIox4d7mQ9AWAe0H3sWXDNy89982RA5CRuRPvThypyRDVTi6XY8G8gqU3TM2tMGDcXB1GVHmlJSfiz58+RvDNs8jNyUKTtn0wfu7XFfbvOxER0cucObRVOJYYSfH2W5XrOaewfJmsyKS0hbPexcL/H5uYWWDwyPFYtnguPGvXLHaMB/9EYPGylTi4e7tQZ2Fli5mrd8LGvuTnaiIiTdLpmr6m5lZo1qE/WnUbBoeqrsjOSINjVVdIjKQAgMz0FMRGPkBCbATsHKuhbuO2gFKJuMehMLe05mwjIqJyaN55EP7es1Gl7sje31DP/zDmLFqOxXPeg9So4MeEQqHAVz9sxfKP5ha7RINXo9Zo32cszC1tYevgDMeqbjCSGiMnKwPRYcGICguCUiFHlWq14OBcA8am5pAam8DYxAwWVrYa/7zl9d+3Tr5e/ZFKecqSjTj510+IeBBQ5Nyv1q6pdEnfwyfPIyHusVAe8s5i2Du56DCiyuv0/l9w+2LBRi63Lx5Bfl4OJi9eDyNp+dYNJCIi0rbsrHRc8d8tlDv3HASPmpX3GSEjI6vU9tzsTOzc8gN2bd+IRn5tER8XhfS0FHjW90XHTl3wT2gojuzbAbksX+W8Ue+vZMKXiHRKq0lfEzML1HCvBxf3eqhd3w++rXrA2LRg3R9rW0eV/hZWtvD0aQlPn5Yq9Vyvl4io/AZPXATvph1w/cx+3Dx/CPm5OQBefOG2fOGHWP3JIkgkEojFEpiaWUAiMcLTuMhix/Lr0B/jZq0tNoFlam6JN3xa4A2fFpr8OBpnZeuImp6N8Dj0bpG2+k07IOjG6WITvgDwz/0A3A8NR31PD02HqTbbfvtdODa3tEHLLkN0GE3lZmVbdKfue9dPYc3sQWjZ+cXyVFznj4iIKosrJ3erLNk1Z/aHOoym/OxsrdGxxyCVZRmKI5fl4/bVgs3rbl0+hVuXTxXpJxKJ0GP4e2jaro/aYyUiehVaS/p2GzIZA8bNE2bxEhGRbolEItT1bYu6vm3RZ/SH2L1xBe5eOSG0F36Yz0hLLnL+Gz4t4e3XEdXdPOHdrJPeb+4lEonw4cod8P9rA07v3ywsNQQAUmNTXDrxR6nn//bHXqz8eI6mw1SLp4nP4X+04Befxm16cUZqObTpOQr+ezci9dlTlfroR0GIfhSE3RuXo8vAtzF08qtvpEhERKRNCrkcZwst7eDl0wzdO7bWXUBq8veR3Vi47At8s2YZ8vNyi7SLRKKXLlcmEonQtH0/9Bo5HdVremoqVCKiMtNa0rdl12FM+BIRVVAOzq5496ONuHf9FHatX4ak+KgS+1rZOmLkeyvQuE0viEQiLUape2bmVuj/1hx07DcOJ3b/hId3L6N5x4G4cGzHS8/9Y8ev6NqxPTq29avQCXK5XI6BQ8cgPeWZUOfX4fV3sCbA1MwCgycuwpYvSp4JdWr/ZrTuMZK/JBIRUYUWfPMsEp8ULP/03rT3dRiN+kgkEqxZsQDDBvXF2LfGIzS4YJM6IyNjLPnxBM4d2Y7EuEg4u7jD3NIGDwMvI+z+i35+7fuh54hpqOpaR1cfgYioCJ2u6UtERBWLT/MuqOvbBsE3zyE9JQkAIJfLkJuThZysdFjZVkHzTgNhaW2n40h1y9quCoYVmpWZ9DQaF47+JpTreDfHo+DrKudEhAahS4cWaNKyE44c2I2qTkVf+a8I1ny7CVfPHxfKXo1aw6tRGx1GpB+adRyAq6f2IOT2+RL73Ll8nElfIiKq0Ap/0W3nWBWTx1euPQteplmTBgi6cxU9+o3AmeN7AQBGUmNUqV4Lw6csVenbe/SHyM/PhUQirdBf6BOR4WLSl4iIVEiNTeHbuoeuw6hURr63Am16jISR1BjVXOtAJBZj+ZQueBoTVqTv7atn0LhpMxw/fhyNvCtegm/7tq3CsY2DMybO/87gZnRrgkgkwqSFP2Dt3GGIjXxQbJ87V06g96gPtBwZERFR2aQ+f4qgmwVr2g4bPQGmJvq3/JPUyEhlKQcbB2fI5fkQi02K9pUWrSMiqij4dRQREVE5icVi1HzDBy61vCCWSCASifDuRxvRttdovNGgBeyruEBUaAZIfEwEho8YDYVCocOoiwoNe4yQu9eEcs/h7xXZZJVen5mFNd7/5FfYValebHv0oyCEBd/As6cxL103kIiISNuundoH5f+fXUQiET6c9o6OI9Kc9PQ04fhpTBg+/7A/EkrY0JiIqKJi0peIiEgDqrrWwZjpqzBrzS589utlrPn9NrwaFWx0Ehp8C/sOF93xWZe2bN8lHItEIjRu00uH0egnW8eqeP+TX2FmaV1s+5dzh2LJhDZYOb03wu7f1HJ0RERExVMqlbjyd8FzQqNm7VHf00OHEWnWrJkzITUumMUbG/kAv66dpcOIiIheHZO+REREWmBpbYepSzfDwspWqPvuhx91GFFRN24UrEPsXrcJbOyddRiN/qpe0xMffvZ7qX1iwu/jyzlDcPXUHi1FRUREVLKIhwGIjy5YtuqtceN0GI3mjR7aB2cvXlOpS056oqNoiIheD9f0pUpJLFLCzMjwXn3NlomgUHJtTdJ/+vpv3EJqisFj38MV/xczZVISY5Cdna22zT+k0vJtJPIw5J5wXNOzkTpCohLUfMMHkxb9hE0rp5ba7/SBX9CyyxAtRUWkSl/vxerC5zIyBDnZmfjjhyW4dnqvUGdmYY133hquw6i0o1ljb3j5NMPDezcAoFJ+Gc77eNnwfk76iklfqpTMjJRo4Zan6zC07lqUMTLz+cOI9J8+/xtvMWMcMKNgdkx0dLTaxq5ZsyZMTF5/Q5GYiIfCcdUatdUREpXCt1UPuNZpgOhHQSX2iYt8CFl+HoykqhvlyOUyPI0Jh4NzDZiYmms6VDJQ+nwvVgc+l5EhuHD0N5WELwB07zsEVpYWOopIez6Yu0xI+AJAnQbNdBjN6+F9vGx4Pyd9xaQvERGRgQkNe4wTpy4gIyMD2Tk5yMnOwdWrl1X65OVm6Sg6wyGWSDDqvU+xZtbAEvvIZfnY8OlkdOj7Fuo36QCxRIJ/gq7jt2/mISEuAmKJEdxqN0CfMTPQoFknLUZPRESGIDszXaUsNTbBgjkzdBSN9uw+cBIb1q0Syg7ONdBrxPs6jIiI6NUx6UtERKQnHkVGw9urTontJ05fwuo1a3He/yAUCnmpYzm7cKavNrjXbYza9f1UNm3r2GMQzp7YJ5SDbpxB0I0zkBhJYevgjOcJsVAqX7yqqZDLEBl6B5tXv4+1u++pbakQIiIiALCwtlMpX7sRgMYN6+koGu2IiIrDpIlvQqlQAAAkRlK8s/BHmFva6DgyIqJXw98MiIiI9MSOP/YWW3/pWgC8G7dCzy5tcfbEvlITvmYW1hj9/kr4tOiiqTDpP6xsHYTjdt3648zxvZi96DOI/pPAlcvy8expjJDwLUwJrtdHRETqZ2lVkPQVS4zQqIGXDqPRrIzMbHy/aQe69eiN1OcJQv3gtxejFvc6IKJKiElfIiIiPXHs4B4EBIao1G3ZsRddOrXD/TtXi/SXGpvA3NIGNvZOqFK9Ftr1HotlG0+jXe8x2gqZoPrqrFj04tHsy88W4f6DR3jn/fmwdSi6cYzUWHXtZs+GrTjLl4iI1M7C2lY4VshlSHqeqsNo1E8ul2Pv4b/Rb+hbcHKuiumTxyLswV2h3bd1D3TqP153ARIRlQOXdyAiItITGWnP4dfYB70GjsKqT5fi63XrsXXDVyozQ03NLNGmxwh07D8ejlXddBgtAS82ZIsMLfjlskmTpsJx3Tfcsem71fhh7Qoc9T+HkIePEPk4CibGxujTqxt6d+sgzNqu36Sd1mMnIiL9Z+dYXaXsf/oixgzvp6NoSieXy7Hl932IfByF6lWronp1Z9SsUR1GUikiH8cgMioGMbGxiI2JxZMncUh4+gQxj8OQ8uxpseNVqV4LYz/8AiIRN/giosqJSV8iIiI9olDIcWTvbziy97cibZ36T0C/N2fBzMJaB5FRYQq5HDfOHcDxP39AbnamUN++XasifY2NpRjYpys6tm2BC1duQSQSYdMvv6os01GvcXutxE1ERIalWk1PWNtVQVpyIgBg38FDFTbpO3fJKny9+qNyj1OlWk007zwYnfpPgIUV1/ElosqLSV8iIiI9IZZIiq03MjLG8HeXcdmGCuTXr2bh+pn9KnWm5pbo1K5Fsf0f/hOJ9h07IiHucZG2eo3bwbmGh0biJCIiwyYWi9GgWSdcPrkLAHD+9AkoFIoKuaRQSEjIyzuVwMLaDk3b9UWLLoPh7tWYs3uJSC8w6UtERKQn3lu2BTs2fI4bZw8IddXc3sDEeetQw6O+DiOjwvLzclT+HwGAg1N1fPHVd7CxsizSPy8vHz379C024QsA/cfN1UicREREAFDzjUZC0jfxSRQePIpEfc+K92Vjx04dcPzA76X2sbS2h61jVdjYO8HWoSpsHJxR842GqN+kPYykxlqKlIhIO5j0JSIi0hP2jtUwcd46dBsyBZf9d8HOoRo69h8PYxNTXYdGhWRnpqusswy8WIfw0uWraN+6OWq711BpO3X+KiL/CS52rE79J3BHcSIi0picrAyc/OsnoWxsYgZHezsdRlSy0cMGYMGMKUJ50MSF8PRpCblcBlsHZ1jbO0EqNSllBCIi/cKkLxERkZ5xre2NEbWX6zoMKoGVrSMcqrriWXy0UJfy7Ck2//gF9vy5DecvXIRPvTpCm2sN1U10Bk1cCN9WPWBiZg4be2etxU1ERIbn4Pa1ePY0RijPWrgcTo4VM+l75VqASrmubxu41fHRUTRERLpX8RbiISIiItJDOdmZUCqVEIlEmPvlHnQaMBGW1vYqfVKePcW70z5UqVv1xTcqZbsq1eHk4s6ELxERaZRSqcT103uFcoPGrfDpklk6jKh0h48dF44tre1Rw8Nbh9EQEekek75ERER6QqFU6DoEKkZKUjzWr5iMWUO98cXsQcjJzoSNvTOGT1mKVduv4d2PNqG2dzOh/+UzR7HnoD8AYNf+E9i55Qehzb6KCxq17K71z0BERIYnOekJMtNThPKcefMgKWHT2IogKSlJOLayc6yQm80REWkTl3cgIiLSE5/PGAAzezc06zgQ3s06Qio1QerzBPxz7xpC712FLD8X6SlJyMpIhXON2ug2ZAqqub2h67D1llKpxBX/3fhr0wpkZ6YBACIeBODUvp/Rc8Q0PAi4CJksHw1bdoPESIoflo4Xzj1z7gJaNmuEqZMnCOv/So1N8P6KrVyjmYiItCI2PESl3LaFn07iUCgU+OzLH/HT91/D0soWQ4aNxPtTxsGlmpPQJy8vH6EhQUL5yeNQxEc/QlXXOsUNSURkEJj0JSIi0hP5eTkIuXgUty8ehbmlDSxtHJAQGy60G0lNYGQkRU52BsJDbiMy9C4++vEkRCKRDqPWX9dO78X2b+YWqT/821c4f2Q70pITAQDteo1BSMAFoV1iJMXokUMwbPR4PE98ItQPmrgQ1dw8NR84ERERgJiI+8Kxta0j3GtWL6W3ZuTLZOjSewgu+B8U6lYvv40vP1sCv9adIZPLEBcdgYS4aMhkeSrnFp6lTERkiJj0JSrkxo0bOHLkCAIDAxEXF4eMjAyIxWJYWFigWrVqqFWrFry9veHn5wcfH59iXxn67rvv8P333wMAmjdvju3bt2v7YxDRS8ycORNHjx4VygsWLMCECRPKdO7evXuxcOFCAICLiwtOnz79Stf28vISjrdt24YWLVq80vlllZWRiqyMVJU6WX4uZPm5QvnJ41Dk5+bA2NRMIzEYulP7fi6x7d+ELwBcOLZDpa1j9wFY8dkaXDl7TKhr0KwTOvYbr/YYibRN3c9axTExMYG1tTU8PDzQtGlTDB48GK6urpr8WER6KabQTF8PT2+dLJdw1P+CSsL3XzJZHq6eP17MGS+06joM7oYacrEAACAASURBVHWbaDI0g6WO+3hJdu7ciWXLlgnlTp06Yf369Rr4FESGgUlfIgDh4eFYtGgRAgICim3Pzc3F8+fPERwcjCNHjgB4vWQPEeleeno6Tp06pVK3b9++Mid9K7L2XfshNeMvJMZHF2mr5uoBb5/GeBofi3u3rwr12VlpTPpqwPUz+xATXjBDasb8T3Dt6mVcOVfyL6j/OnX0L5WytV0VvDnzS87IpkpNm89aubm5SExMRGJiIq5du4b169dj/PjxmDlzJoyNjcv1OYgMSUxEQdK3fgMfncQgfcU1hJ1r1MawyR/D26+jZgIyYNq4jx84cEClfOHCBTx79gwODg6vHziRAWPSlwzegwcPMG7cOKSkFLz+Y29vDx8fHzg6vtgAIDU1FY8ePUJkZCQUihcbJaWlpekqZCIqh2PHjiE3N1el7uHDhwgJCUG9evV0FJV6pKWlIj42EodOnMOuv/YiNzcXbdu0Rr+eXVHbvQYA4Oylm+jUtmDTsOzMdNjYO+sqZL108fhO7Fi3QKVuyttjMXr4ILRvdxE5WRmwsLJBZnpqCSMUkBqbYMLcb2Ft66ipcIk0TpPPWk5OTujWrZtKXXZ2NsLCwhAYGAilUgmFQoFffvkFCQkJ+PJLfoFCVBa5OVlIjIsQyr6NfHUSh08DL5XytOVb4FTdHZdP7sKNswfg9oYPnGvURpVqbnBy8YBHvSaQSJjmUDdt/M4cGRlZJKEsk8lw6NAhjB8/Xi2fg8jQ8G5IBi0/Px+zZs0Sfng5Ojrio48+Qrdu3YrdmTYlJQWnT5/GwYMHERwcrO1wiUgN9u3bJxybmJgICeB9+/ZV+qTvnevnsWnbbkwZPwIDenUqto+drbVKOSuTX2CpU+rzp9iz6VOVulETpqHuG+4AgMtXruPClRuoX9cTfXp0Rl5uNgCgei0vZKQ+F5Z9EIlE8OvQH31Gz4BzDQ/tfggiNdL0s1atWrXw8ccfF9sWGhqKWbNm4Z9//gEAHD58GF27dkWvXr3K8YmIDENM+H1hI1EAmD9jEjZt+BHDRo7GB+9OgHMVe63E4VK1CswsrIUNUc8d3g6/9v0QcOkYnifGwsLaFhPmfMO3ljRIW78zl/SMvn//fiZ9iV6T9hflIapATp06hbCwMAAvfrBs27YNPXv2LPaHFwDY2tpi8ODB2Lp1K/bs2aPNUIlIDaKionD79m0AgFgsxpw5c4S2w4cPQyaT6So0tdmxY0eJbQqFAlOnfahSJ8vPK6E3vY69m1chJztDKC9d9S1++3mdUG7csB6GD+qDCRPGCwlfAOg6aBIW/3AcbXqMRPs+b2LxDycwcd46Jnyp0tPls5anpyc2b94MKysroe7XX38t15hEhiLigeqMS6VSiX/u38bKj+fAzdUFyz//TitxiMViuLgV/CwMunEaW9fORML/ZyFHhwXDf+9GrcRiqLRxH1cqlTh4sGDt5tmzZ8PI6MUcxZCQEDx48KCcn4LIMDHpSwbt0qVLwnHnzp1Ru3btMp/r5uamiZCISIMKzyBo3rw5Ro4cCVtbWwDAs2fPcP78eV2FpjYh94pfZw0A/tx3XGVN2SrVaqLmGw21EZbeUyqVOLXvZ1w/U/B3rFPPwVi24AOVDUwyMrPRtUdfxEQ8FOpadx+Oll2HwtrWEWM//Byjpn0Kl1qqr7MSVVa6ftZydnbG4MGDhXJgYCAyMjJKOYOIACDiwe0S2/Jyc/DpR3OFV/g1bfK770NUymZgJ3f/hPTUZ1qJxRBp4z5+9epVxMXFAQDMzc0xfPhwtG3bVmjfv39/ma9JRAWY9CWDFh8fLxzXqFFDh5EQkaYplUqVzSEGDBgAY2Nj9OzZU6jThwfKpKcx2H/0VJH67zftwOihfYSyqbkVPlz5O0xMzbUZnl6Sy/Lx508f469NK4Q6EzMLbPzha5V+Obl56D1oJILvFGykV8e7OUa+t4JrjJLeqgjPWr6+BWuRyuVyIbFARCX770zf/zKSSiHXUtJ37gdv4/K1ANRwL/4L0bzcbMSEhxTbRuWnjft44WfwHj16wMzMDAMGDBDqDh06pBdv5BFpG5O+ZNAK/5IdExOjw0iISNOuX7+O2NhYAICpqSm6d+8OACoPlKdPn1bZoKKymjRxPJ4mPhfKC5d9gemTx6r0qV7zDTg488uu8noUfAMrp/fBucPbhDqxxAhrvv4RdTwKZrdERMXBr2UHXPAveHWxqmsdvPvxJkiNTbUaM5E2VYRnLRsbG5UyZ/oSlS456QmSk56U2qdB45aQGmlniyCFQoH9h44jLiqs2PZanr6oXa+pVmIxRJq+j2dlZeHkyZNC+d9n8y5dugjL8yQlJeHixYtqvzaRvmPSlwxa4ddNzp49K6xVRET6p/AMgq5du8LS0hIA0KRJE9SsWRPAi40qjhw5opP41CnpaQx69x+Kj1d+A98WHbB6+bwifRycXXUQmf5ITnqCX7+ajbVzhyLuccFSDWYW1tix6yA+mPKWUBcXn4gWLVqqzPC1sXfC9BXbYGFlq9W4ibStIjxrpaamqpQLr/FLREVFPQp6aZ927TpoIRIgKysHXXoPxeefzIdCXjDT08rWEe37vImZn/+JuWv3ciM3DdL0ffzEiRPIysoC8GJJnhYtWgB4sX5wjx49hH6Fl2kjorJh0pcMWrdu3YTj7OxsjB07Flu3bkVCQoIOoyIidcvOzsaJEyeEcv/+/VXaC5cLLwFR2bjXbSIc3756BisWz8Td68WvU+zdtKOWotIv2ZlpOLR9LZZP7oyrf/+l0lbD3Qt/nz6HkYN7CXX5MhkWLV+NxPholb4zVu2EvZOLVmIm0qWK8Kz17waeACCRSFCtWjWtXZuoMrK2dXxpn949u2ohEuDjlV/j7ImCZJ9ILMbACQuwevt1jJr2KTx9WkJcwoZipB6avo8XnpjRt29flb0Q/vtGXlpamlquSWQomPQlg9aiRQt07VrwwPL8+XOsWrUK7du3R8+ePTFv3jxs27YNgYGBXEOIqBI7efIkMjMzAQAODg5o06aNSnvhB8q7d+9W2ln/A8fPg6W1fbFtYokR3pq1FqOmfYaJ89ahWccBxfajovJysnHt9F5s/nw6Fo9vg6M71yE3JwsikQgisRjGJmaYMf8T/BMSiNbNX6wdmvQsBfM+Wg0Xt9r4df1XRcY0s7DW9scg0gldP2s9ffpUJaHg4+MjvOlBRMVzr9sYfUbPAIBi15w3s7BGhzZ+Wonl9q2bwrGltT1mrPwdPYZNZaJXizR5H4+Li8O1a9eEcuFncgBo1qwZXFxefEmel5eHo0ePluOTEBke7SzCQ1SBffHFF1i4cCGOHy/Y0V6pVCIiIgIRERHCrD9zc3N07twZI0aMQPPmzXUVLhG9hsK/8Pfp0wdG/1mDztXVFU2aNBFmgx04cACzZs3SaozqYGXjgKlLf8Zfm1YgJSkeOdmZyM5Mg4mZBcbNWovGbXq9fBBSEfXoHjZ+9i6ePS26hp1SqUSP/qPw1ZoVqO/pIdQvWLoG3365AjlZJa8bGhv5ADb2ThqJmaii0dWz1j///IOZM2ciPT1dqBs3bly5xyXSd9FhQTj2x3cvCiIRqrt5Ijc3C8/+/9ZKwyattLae7+OIR8Jx0/Z94dmwlVauS6o0dR8/cOAAlEolAKBu3brw8lLdrE8kEqFfv35Yv349gBfP9CNHjlTXxyLSe0z6ksEzNzfHt99+i0uXLmHLli24cuVKsd9QZmVl4fDhwzh8+DA6d+6M1atXF9kYhIgqnvj4eFy9WrCW6n+XdvjXgAEDVJK+M2bMUHm9rLLwqNcU874qSHKnpSRBamwCM3OuYfmqrvjvxs4fFiM/L7dIW6Nm7bBq1Ur06tJWpf7qzUB8/sn8EscUicVo1LI7vBq1Vnu8RBWVJp+1IiMj8cknn6jUZWdnIzw8HIGBgVAoFEJ9r1690KsXv/wiepmb5w5BoZADAJQKhcra9QDQtr121vNVKBR4Eh0hlJ2qu2vlulSUpu7jhSdmlPaM/m/SNyAgABEREXB3598ForJg0pfo/9q0aYM2bdogOTkZN27cQEBAAIKDg3H//n2VGSLAi/WExowZgz/++IOvCBJVcAcOHBB+6ffw8ICPj0+x/Xr16oXPPvsMeXl5QqK4devKn5gry7p8pCo/Pxe7N3yCC0d/U6l3qfkGOnfvjZFDB6N39/bFnrv22x9UyrXr+6HzwImo37QjjIykEEuMKuWXCUTqoIlnrYSEBOzYsaPU64pEIrz11luYM2dOsa+qE5GqyNC7pbb30dJ6vrcDQ5CdVXBvcHJhok/X1HkfDwgIQGRkJABALBajb9++xV7z3+f3e/fuAXiRKJ45c6Z6PxiRnmLSl+g/7Ozs0L17d3Tv3h3Ai2+Yg4KCcPDgQezevRs5OTkAXrwy+M0332DJkiW6DJeIXqLwDIL/rhNWmI2NDTp16iRs+LZv3z69SPrSq0l59hQbPp2CyIcBKvVvvzcXP327stTXWZOepeDIvj+EcvNOgzBh7jcai5WostL0s5aJiQmsra3h7u6Opk2bYsiQIXB1dVX75yDSRwqFAlGPgoRy01adkZWViQeB16FUKlG3YXO0b9WklBFe343bQViwZBnCQkOgVCqRnpYstEmMpKjp2VAj16VXp477+L59BRv0tWrVCs7OziVeb+DAgULS9+DBg5gxYwa/xCMqA041IXoJsViMhg0bYsmSJdi7dy+qVKkitO3atUv4gUZEFc/du3cRHh4OoGBNsNIUfq3M398fGRlF12SVFNo4JC8v75Xi+W///64tTLqVl5uD75a8qZLwNbOwxqZtu/HzD2teun7hnEWfIDuzYFfpDn3f1FisRPqkPM9azZs3x8OHD1X+BAYG4uLFi9i+fTtmzJjBhC/RK0iIi0BOodm18+bNw/07VxEWGYP9R0/j9rXzKs9C6pCXl48P5i5D65Z+OH1sDx6H3UdUeAiSk+KFPn4d+sPKxkGt1yX1edX7eF5eHo4dOyaUS1ra4V+9e/eGVCoF8GLzt8JLtxFRyfjbJtErqF27NubPn485c+YAAHJzc3Hv3j00a9ZMx5ERUXEKzyBQKpXo3Llzmc/Nzs7GiRMnMGTIEJV6K6uCtXGzsrJeKZ7MzEyVsrW19SudT5q15+cVKusWurrXxb59e9C0Uf2Xnhv8MAw7tvwolD0btoJ7Xc3MhCLSZ3zWItKtx/9Z2qFzuxYAAHe36nB3q6726z1NfI62HbrgUcidEvsYSU3QbcgUtV+bNKMs9/G///4baWkFX5TPnz8f8+eXvCfCf+3fvx+tWnFTP6KXYdKX6BW1b6+6jmNiYqKOIiGi0vx3BsHr2L9/f5Gkr729vXCcmZmJ58+fq9SVJjo6usSxSLfuXD6O80cK1vCtU88XN66ch61N2TbAmz5jHmT5LzZ8E4lEGDrpI752SPSa+KxFpDth928Jx9XdasPRwVaj15syfY5KwlckEqFll6GwcXjxqr/ESIoGzTrBpZaXRuMg9XrZffzAgQPlGv/kyZNYunQpzM3NyzUOkb5j0pfoFZmYmKiUjY2NdRQJEZXmzJkzSElJAQBIpVLUr//y2ZoAIJPJEBwcDAC4ceMGYmJiUKNGDaG9bt26kEqlyM/PBwAEBQUVebAtSVBQwRp5VatWhYMDX1OsKPZvXaNSnjV7HmLjEwCg1MTv5Rt38cGHs3DrymmhrmXXoXCt7a2ZQIkMAJ+1iHTj9IEtKpuY1vfR7BsrqekZOHnoL6HsXKM23pr5BTzqNdXodUnzSruPJyUl4eLFi0K5bt26RfqX5OHDh8jJyUFWVhZOnjyJgQMHqidgIj3FpC/RKwoJCVEpV6tWTUeREFFpCi/t0LFjR3z//fdlPrdHjx6IjIyEUqnEgQMHMG3aNKHN1NQUPj4+uH37NgDg2LFjZU76Hj58WDhu3rx5meMhzZNIVB+J3ntnNIAXM44aNmuHFcuXo1/PjkJ77JMEfDBnMfb/sQUKhVyoNzYxQ/+35molZiJ9xWctIu1SKpU4suMbHPm9YPNRkUiEaVMna/S6G7f8iexC6wePn/0Vann5avSapB2l3ccPHToEmUwG4MVbb3v27CnzPhdLlizB7t27Abx41mfSl6h03MiNDNqWLVtw+fLlMveXyWRYt26dUHZ0dES9evU0ERoRlcPz589x4cIFofyyDdz+q3D/4l4/GzVqlEr73bt3i/T5ryNHjuDWrYJXJkePHv1KMZFmtek5qth6pVKJu9fPo3+vTqhVxxv1fVuioV9beHl5Yu/vP6skfC2s7fDOwh9g61Dy7tNEhobPWkQV355NK1QTvmIxvvxuMwb26arR6168dFGlfPP8IcjyX22TXNI8dd/HC0/M6N279yttbFx4w7dr164hLi6uzOcSGSImfcmgBQYGYsKECRg8eDC2b9+OhISEEvuGhoZi0qRJKj/wJk2aBLGY/4yIKpqDBw8KMwgsLS3RsWPHVzq/cNL38ePHKslaAOjVqxcaNGgAAJDL5Xj77bdx4MABKBSKImPl5eVh69atKptTdO3aFY0bN36lmEiz2vUeDZ8Wpf9y+zjsPkLuXsO9W5eQmZ4q1IslRugy8G0s33QOPs27aDpUokqFz1pEFdvj0ECc2r9ZpU6pUGDZkrlo0rITPpi7DCmp6SWcXT4d/vOm1Kl9P2Pt3GFIiI3QyPXo9ajzPh4SEoKHDws2ze3bt+8rxdKsWTNh1vC/b+QRUcm4vAMRgODgYAQHB+PTTz+Fi4sLPD09YWdnB6lUitTUVDx8+BAREaoPH926dcPYsWN1FDERlWb//v3Ccffu3cu8Tti/atasiYYNGyIwMFAYr2nTgvXlpFIpvv32W4wZMwbx8fFIT0/HvHnzsGrVKvj6+sLBwQFKpRIJCQkICAhARkaGcK6npydWrVpVzk9I6iaVmuC9pZuRn5+LrPRUZGWkIjszDfdvncep/ZuRk1X8L7w+LbpiyNuL4VzDQ8sRE1UufNYiqpgkJcyyTE95hoBrZxFw7SyePX+GHZu/U/u1Z0wdh5ycHCxfPAt5uTkAgMjQO1g6qSPsHKuhlpcvPOo1QatuI2BhZaP269OrUcd9vPAsX1dX11eeBCESidCnTx/8/PPPAF48o0+dOrUcn4pIvzHpSwatVatWCAwMRExMjFAXGxuL2NjYEs8xNTXF5MmTMWXKlFd6FYWItOPBgwcq64gVfg3sVfTv319I+h47dgxLlixRSR7XqFEDe/bswaJFi3Du3DkAQHJyMs6cOVPseGKxGH379sXSpUthaWn5WjGR5kmlJrCxd4KNvRMAwKNeU3QaMAHXTu9DcmIsZLJ8yPPzIZFK0ahld9T1baPjiIkqNj5rEVVsLu71MHnxelw8vhMx4feRlpxYpE/q/zfGVTexWIxFs6eiY/vWGDFiBGIiCmaAJic9QXLSEwRcOoab5w5hwbeHNBIDvZy67uMymUxlf4tXneX7r/79+wtJ38jISAQEBPANOqIS8CmKDNrw4cMxfPhwhIaG4saNG7hz5w7Cw8MRFxeH9PQXs7osLCzg6OgILy8vtGzZEj169ICNDb9pJqqoCs/yrVKlClq0aPFa4/Tu3RurV6+GTCZDeno6/v77b/Tp00elj6OjIzZu3Ijg4GAcPXoUt27dQkxMDNLS0gAAtra2qFmzJvz8/NCvXz94eHA2aGVkYWWLzgMm6DoMokqJz1pEFZtIJELjNr3QoHln/PbNPFw/s1+l3d2zAdZ9tVqjMbRu1ghBd2/izYnv4/CebVAqlSrtT7ncg06p6z5+/vx5PHv2TCi/6p4b//Ly8oKnpydCQ0MBvJg9zKQvUfGY9CXCi9etPT09MWbMmHKPNX36dEyfPl0NURHR61iwYAEWLFhQ7nEcHBwQHBxcpr7e3t7w9vYu9zWJiPQVn7WIKrYjO74tkvAdNnYKtm74Bubmphq/vo2VJQ7u3oqwiE9x7O9z+PDdccJmqd5+HTV+fXq58t7HO3furLKeb3kcOsSZ30RlwV0RiIiIiIiIiAxUTlYGzh3eJpQtre2wadtu7Nq+XisJ38KsrCxw7dp1IeELAK27D9dqDERE+oIzfYmIiIiIiIgM1GX/3Soblu7ctQ99e3TQagyPo59g6covsWvbJmQXisWuSnXUbcT184mIXgeTvkREREREREQGSCGX48yBX4SyVwM/rSd8l636FquWL0Bebk6Rtu5D34VYItFqPERE+oJJXyIiIiIiIiIDFBcViqT4KKE8bfqHWr3+3+euYvmiGUXqPRu2Qq+R76Oub1utxkNEpE+Y9CUiIiIiIiIyQEqFQqXcrElDrV1boVBg5qzZKnU+Lbqi5/D34FGvqdbiICLSV0z6EhERERERERkgSxt7lXJ8QqLWrv3Ljr0Iun1ZKPcc8T4GjJurtesTEek7sa4DICIiIiIiIiLts7CyUyknJD7TynVzcvOwdMlCoWxl64gew6Zq5dpERIaCSV8iIiIiIiIiA2RsYgqpialQTkhM0uj1njxNwoz5n6CGmwfioh4J9f3GzoKpuaVGr01EZGi4vAMRERERERGRgbK0skNy7hMAQKIGk74yuRy1aroiLzdHpb6qax207jFCY9clIjJUnOlLREREREREZKAsrAuWeAgLe1RKz/KRy2RFEr5VqtfC5MU/QSLhfDQiInVj0peIiIiIiIjIQDm7eAjHR/f+hj/2HtP4NT0btsK7H23Csg2nUc3NU+PXIyIyRPw6jYiIiIiIiMhAdRv6Lu5eOQmZLA9KpRJT3n4LrZvfg1uNqmq/lkgkwuTF6+Hbuqfaxy6rvNwcKOQyYQ1hWX4ezhzcgsiHd+Dbphf82veDSCTSWXxEROrCpC8RERERERGRgar5hg8Gv7MIu9YvAwCkpSRh49bf8emSWWq/llKpRC1PX7WPWxaPQwNx5PdvcO/6KYjFEnjUa4r6Tdvj1vnDiI18AAC4ffEoTu//BUMnLUHt+n46iZOISF2Y9CUiIiIiIiIyYBKJVKVcz/MNjV3r7jV/dOjzpsbG/6/Cyd5/KRRyPAq+jkfB14v0j3wYgC/nDEGvkdPR/605WouTiEjduKYvERERERERkQG7cGyHcFyzdn2MGtpHY9e66v9XkQ3dNCXk9gWsntFPJeFbVid2/wS5XKaBqIiItINJXyIiIiIiIiIDZmxiKhxnZqQhL19zyc7I0Dv4YvYgZKQ+19g1/uXZqNVrn1u7XlNIJHw5mogqLyZ9iYiIiIiIiAxYp/4TheNnCXHwqu+Ljb/uglwu18j1YsLv44vZg5Gdla6R8f917dSe1zrPxsEZE+Z9q+ZoiIi0i0lfIiIiIiIiIgPWpG1vuNb2RovOg6GEElHhIZgyfgTcPLywYs33yMoq23IMz5JTy5woToiLwK3zh8sT9ksZm5hDJFZNe4jEYlhY2xXb38nFA217jsK8tftg51hNo7EREWka31UgIiIiIiIiMmBiiQQLvjmEv37+FFAqhfq4qDB8PH86vv5yJVau/gqTxw+HWFz83LGFy77A158vg9RIDJFI9NJrSoyM4Vangdo+Q3H8OvSDla0DflnzAdKSE+Hbuif6vzUHVjYOOPDrGiQnPYFbHR941GuCWl6NYVlCMpiIqDJi0peIiIiIiIjIwIklEvR/czYsrGxx+LevVNqSE59g6tujsGnTRvzy83o08vZUaY+Oe4o1KxZCoZBDamlZpuu51/VFDQ9vtcVfEq9GrfHp1kuQ5efBzNxKqB/zwWqNX5uISJe4vAMRERERERERwcTMAv57NpTYfvvqGTRpWB9jJ32IO/ceCPWXrt6GQlH6sg5SqRT1fAs2VnsUdB0Xjv5W/qDLQCo1UUn4EhEZAiZ9iYiIiIiIiAgikQhjpq8qtY9CIceOn9ehccN6sHWoigEjJmDFik9eOrZYLIb/0f1wcHIR6vb9sgpJ8VHljpuIiIri8g5UKWXLRLgWZazrMLQuW/bytbGI9IGh/hsvL94jiEideC8uHe+5pK+adRyAmp6N8NPytxEf/ajUvqnPn+Lgrq1lHtulmhO++3EjRg/tAwDIzcnC2rnD0GXQO2jbcxRMzcu2NASVDe/jZcP7OekrJn2pUlIoRcjM542ZSF/x3zgRke7xXkxkuJyq18K8r/dj65czEXjVX61jjxrSG38MG4+Du7cCAFKexWPPz5/i6M51aN/nTXTqPx429k5qvaah4n2cyLAx6UtEREREREREKszMrTBlyUYc2fE1ju5cV+bzRCIxAGWpfX7Z8A3a//MA9+9cFeqyM9NwYtcP+HvvRlSv5QWXWnVf/HGvBxf3urC2dXzdj0JEZJCY9CUiIiIiIiKiIsRiMfq9ORt1GrTAvl9WIjosuMS+puaW6D90LE4d2Y28vLxSx3Wws0HgzYvY8vs+rP3yCzwIvC60yWX5iH4UhOhHQSrnNG3fD2/P/w4iEWeuEhGVBTdyIyIiIiIiIqIS1WvcFgu+PYx3Fv4IJxePYvvI8vPx9MkTyGSyMo0pkUjwzptDsW3L5jL1v3X+EGLC75c5ZiIiQ8ekLxERERERERGVSiwWo2m7Pvh4vT/emvklqtf0UmmX5efinP8ByOXyMo2Xl5ePrb/vQ/8B/cvU38rWEVVda79y3EREhorLOxARERERERFRmUgkRmjVbRhadh2KBwEXcWr/zwi+efal5+Xl5cHLpxmcq1aHiYkprl8+g7TkxDJfd+rHP0NqbFqOyImIDAuTvkRERERERET0SkQiEeo1aYd6TdrhSVQoLh3/A7GRDxEbdrfY/kqlEqFBNxEaVGxziaQmppi86Ce4122shqiJiAwHk75ERERERERE9NqquXli6OSPAQALxzSGXJZf5nNtHJzRqutQ9BzxPtJTkhAecgtGUhOYmlvC1MwCTi4esLS201ToRER6i0lfIiIiIiIiItIoscQIbXuNRnrKM2RnpsGxqiv8OgyAV8NWEEskOTgViAAAIABJREFUAACTqm5wrOqm40iJiPQDk75EREREREREpFFisRhjpq/SdRhERAZDrOsAiIiIiIiIiIiIiEh9mPQlIiIiIiIiIiIi0iNM+hIRERERERERERHpESZ9iYiIiIiIiIiIiPQIk75EREREREREREREeoRJXyIiIiIiIiIiIiI9wqQvERERERERERERkR5h0peIiIiIiIiIiIhIjzDpS0RERERERERERKRHmPQlIiIiIiIiIiIi0iNM+hIRERERERERERHpESZ9iYiIiIiIiIiIiPQIk75EREREREREREREeoRJXyIiIiIiIiIiIiI9wqQvERERERERERERkR5h0peIiIiIiIiIiIhIjzDpS0RERERERERERKRHmPQlIiIiIiIiIiIi0iNM+hIRERERERERERHpESZ9iYiIiIiIiIiIiPQIk75EREREREREREREeoRJXyIiIiIiIiIiIiI9wqQvERERERERERERkR5h0peIiIiIiIiIiIhIjxjpOgAiIiIiIiIiIl3KzclCYlwknsZGQCwWo17jdjA1t9R1WEREr41JXyIiIiIiIiIySPdvn8ehbWsRGXpHpd7U3Aptug9Hz5HTYWltp6PoiIheH5O+RERERERERGQw8nKyEXjtb1w8sRMP71wqtk9OVjpO7d+M0KBrWLTuiJYjJCIqPyZ9iYiIiIiIiEgvyWX5CH8QgJjwYCTERSIhNgJh928iNzuzTOcnxIRDIZdDLJFoOFIiIvVi0peIiIiIiIiI9IZCocCdy8dw/fR+PLh7qcwJ3uIMGD+PCV8iqpSY9CUiIiIiIiKiSik/PxdPHociMz0V2ZlpSEtOxIWjOxD3+GG5xpWamGLk1E/QuvsINUVKRKRdTPoSERERERERUaWSEBuBC8d24Ir/bmSmp6hlTDNLa9Rv0gENmnWCt19HWNk4qGVcIiJdYNKXiIiIiIiIiCqFuMehOLpzHW5fOAylUlnm84xNzOBa2xv2Ti6wsnVEfPQjPA69i6yMVLjXbYxeI6ejXpP2kEiYJiEi/cC7GRERURnk5WTj732bkJebg+adBqJ6TU9dh0RERERkUC4c3YGdPy6BUqEoU3+xWILGbXrBr0N/ePt1gNTYVKVdqVRCLsuHkdRYE+ESEekUk75EROWQn5eDSyf+RHRYMByrucHdyxe1vBrD1MxC16GRmp3a/zMObV8LADix6wfUa9wOAyfMh1sdHx1HRkRERKTf5LJ8XPbfjZ0/LFaZ3WtkZIz23frhQfAdxEWFCfVudXzQeeBENGrZHabmliWOKxKJmPAlIr3FpC+pXXZmGuKjw/A0NhwpSfFIT32G9JQkZGemwcTMEuaWNjC3tIG1rSNsHJxh6+AMeycX2DpUhUgk0nX4RGV27/op7N6wHIlPHqvUS01M0ahld7ToPEhHkanKzkxDSMBFpCTFo4ZHPbjXbVxklgO9XHjIbZVySMAFRIUF4bOtl2Fiaq6jqIiIiIj0V2zEA1w68QdunD2AjLTnQr1YLMGgUROxcvlieNauiWquHkJbDY/6mP/1AYglEl2ETERUYTDpS+WSn5eDyId38Sj4Oh4F30BM+H2kJSe+1lhVXWujafv+8GvfF1Vd66g5UtKlhLhIWNnYw8zCWtehqEXik8fYvWE57l0/VWx7fm4Obp47iJvnDsLKykorMeXn5+LO5ROICQtGXm428nJzkJ+Xg+TEJwh/cBsKuUzoayQ1gUe9Jug6eBJ8mnfRSnyVWX5eDp4nxOGfoGtF2jLTknHr/GG07j5cB5ERERER6R+lUokHdy7Bf88GhNw+X2yflV/9iPkfThbKZuYFb9nFhN9HbOQDuNb21nisREQVGZO+9Mqys9IRdP00Ai4dQ9DNM8jPzVHLuPHRYTiy42sc2fE12vcZi1HTPlPLuKRbezevhP+eDTAxs8CIqZ+gVdehug7ptcU9DsWFYztw8dhOyPJzVdqcqtdERloysjLSVOqVSqVGZ7AnxUfhyt9/4eKx38v8hYssPxehgVcQGngFvq17YMC4eVr9okWpVCIrIw3pqUkwMTWHjb0zxGKxRq+X+uwpEuIikBQfheysjBeJ8Zxs5OflAIVeEVTiRSI35Vk8Up49RerzBORkpZc6/oFf16B+k/awdayqsc9AREREZAhiwu9j98blCA28Wmy7g1N1zF/8CeZ+8DYeRz9BWEQ04p7EI/bxI5V+X80bjo9+Ogl7JxdthE1EVCEx6Uuv5N61U9i8ZjpyszNf2lcslsC+SjXYOVSBrb0DrK1tkZmRgbS0FKSlJiPlWQIy0pKLPff8kd/QZeA7cHJxV/dHIC26fmYf/PdsAADkZmdi21ezEfXoHoZPWVaplvKIeBCAPZs/Q1jwjSJtltZ2mLNoORbNngqxSIQLVwOwect2HDmwC8lJ8WqNQy6XISXpCZLio/E4NBC3Lx7B438Cy3y+1NgE+Xmqyeo7l0/gzuUTaNCsExq26Aa5PP//s4RzYW5pDd/WPWHnWK3csSc+eQz/PRsRfOMMUpMTIJflC23GJmZwcnGHU3V32Dg4w8auCqztnSCRSBAfHYYnUaGIjw5Dbk6WcI5EYgQbB2fYOVaDnWM12DpUha3jiz8KuRxRj4IQ9egeYiNCkBAbgbzc7HJ/hn/5temKgQMHYcncaQCAtOREfLt4DKYu3Qyn6rXUdh0iIiIiQ5H6/CkO7/gGl078UWSTNmMTM3TuOQgTJ4zD4L5dcPtuCJq07ISAa2dLHC8nOwORoXeZ9CUig8akL5VJTlYGbl88iu3fzC223czcCvV9m6NZ85Zo5NMAvg3ro1EDL5iZmpQ6bkZmNsIfx+DU2YvY8stm3Lt1SWhbOqkjug2ZglbdhqGa2xtq/TykWXK5DPeuncKOdQuLtJ09uBVymQx9x8yAtV0VHURXdlkZqTi6cx1OH/ilyMOnSCzGgOHj8cPXq1G9asHn6NjGDx3b+EG+4St8v+k3fDRverFjy2X5OPTbVzC3sIbEyAgSiRSiQrNd83JzkPosHslJT5CSFI/nibFITnwChUJeasxVqrrCwakaTExNYWpiBnMLCzRv3gLDBveFbwMvnL9yG/sPHcPmn75GZnqKcF7QjTMIunGmyHi7NyyHV6M28G3TE+5evnCpVRcSI2mZ/vsplUo8Cr6Bc4e34fbFIyXuspyXm42Y8PuICb9fpnH/lRQf9Ur91cG+SjVs+uk7NPT2hP/JkzjnfwAAEB/9CCumdodbnQao5eWLKtXckJuTjZysdORkZyIvJwtymQxyuQxKhQJyuQyy/DxkZ6YhKyMVWZlpkMtkqhdTKqFQyCGX5UMuk0GhkEMilUIqNYHU2ARGUmNIjU1hbmkDCytbmFvZwtLKFh71/dCoVXdIJPwRT0RERBWbXC7D0Z3r4L9nQ5E3SC1t7DF2/LtYMv9DuFRzQnzCM4ybPBN/bFuvMoGgOHW8m8OrURtNhk5EVOGJCu98qdaBRSJvAEH/lj/6yR/Va3pq5FpltXb2ADyNCStS71yjNmavPaCDiCoWpVKJ8JBbOH9kOyIf3gVEIkiMjCAWiREfE1bkB2uVqq7oO2gERo8Ygg5t/CA1Kn+CwaXmG4iLelSk3su3DboOmgRPn5YwNjUr93WoeEqlEolxkYgMvQtZfh6s7arA1sEZVraOyM3JQkrSEyQnPUFy4hM8T4jF88RYPE+Mg0Iuh6m55Ys/phaIeBhQpqUGqlSvhVqejWBj7wRLa3tY2tgjJysDzxJi8fxpDNJSEmFqZgkLa7v/sXffYVEd6wPHvyxbYWFhqbv0DgIq9hJ7NDHNNNM0pt70ctNu+s/Um54bU00xzVTTjMbYEmvsGhsIKL33sru0rb8/jBsJIKCAivN5Hh7ZOXPmvAcQdt+deQe1pzduHl5IZXJcXaW4SmUYa6soK8rGUFuByt3TmfwKix3EgCHj0Wj9cTgcmAw1VBTl0HL0bE+HA0NdFeVF2VQU51JXXYantx++gaH4BoZiqKti7ZJPaPpHuQa5Qsmkcy7hkf/cz8Sxwzq9R19fX8xmc7tfa5PJ1Pk3pQskEleGjz2be++9hysvObdLpRIKS8q569+P8OtPX2G1to2vIzK5gpCoJEKiEp3fN3dPb9QaLS640GCsxWSopa66nF0bllBW2PZ37skklcpRa7xRKFQolCrkCgUuLq2/Xu5qDwJ1Qej0eoL0eoL0OnS6AIL1ASQnxCCXH05619UbGTNhKul729b6Pdm0fkFMmnE948+7VvzOPMqjs1LafZHoKpXxwpe7T0JEgiAIgtD/dPXvrcXczMcv38OezStb9ZNK5Vxzwx28/tJT+HhrMJstPDL3Jd5/+5U2pdSOkEhc8fbTMXDUNIZNuJCIuJTTamWhIJxpzvT8XEn+QZ69ferRTUkOhyOtp68jpgEJNDUa2bluCRtXfEVhVmrnJwBDRk1i15Y1PR7LO+++x803Xk91RXGr9sw9m8jcc3gWsMrdE43WD402gIDgKEZPnUl47KAuX8PhcJC2cy1pO9chV6iIHDCMyIQheGh8evReThcmQy37t/3G3q2ryUrd1mr2Z0+58rrbufH62Vxy4fRWT9QqS/KoLMnr8esd4R8Uiam+mkZT/QmPJZXKufnOB3nq8QcI8NP2QHQnHk/SkNFcetnlXD97JiH6gG6dH6IP4OdFn5Bb8Dz/feVNFn/3Jcb6GmQKJQqFEqlMTkVpQZvZuRZzCznpu8hJ39XtmCWuUqaeP5NJkyeiCwxAHxhAVXUtqQfSyczMpCAvl5rqSmqrK6irqcRmteCnCyU8Kpa4uAH4B/g7x2psbKKkpJjSkiIqSkuorixtVS5GrlAREZvEgKSBDBgwgMSEeAYmxREbFdYjb1ABeGk82Ll5HVfOuYVffljYI2P2lJrKYn746HkO7NrAPc9/cbLDEQRBEARBaMVut/PeM/9qs1HbhGkX88arLzA4OR6AnXvSuGbWHA4d+LNVP4nElYkXXc9Z516Np7cfKnfPXt0jQhAE4XQkkr5nAJOhlozdf5C+ewOH9m/DbrfhExCMj38INpuFPZtXdrnepV9gCJOmnc+8V57rlVgvPv9szi/OY9HiFSxY8Al/rFnWpgZpU4OBpgYDZYXZZO7dzIZlCwmNTmbMtCsYPOZcNFr/dse222zs3rScFYveaXcZuZ8uDF9dGD7+QWj/+vAJCMEnIBiNtz8SV9deueeTxdzSzMrv3mXVd/PbbErWU7R+OubceDsvP/coMqmUJb+s4uZ/3UTeoR5/A6tdFcU5PTLOoOHjmP/u24waNrBHxoPD5SF8A4KxWi1Y/1q+f/SGYq5SKVrfQPwC9eh0evRBwURGhhMXHUl8bBRRESE9kryMCNXz4Vsv8uFbL7Y5lpVTwDsffMaypT+RczC102V0HXH38OLCS6/hycceYEBsZNsOl05v02S322kxWzotEXM0U0MTWTn52Ox2BibG9lhy91jc3JQs/f5zNmy+l+Wr1rBz5w7S9u3CUFeDyk2Nm7sHKnc1bm7uSGVSpK7Sv8p5SJFKpXhqNHhpvPDWeqNQtL1XV4krCoUcmVyGq0SK2dxCc0sLzU3NtLS00NDQQF19HXW1tdTV1ZKfnUlVeZHz/PTdG7Hb7eJFkCAIgiAIp5T8g3tbJXzlChVLfl3NOZP/LsnwzY/Lue6aSzH/o+zDgKETuOTGRwmOSOizeAVBEE5HIunbD9ntdgqy9pO2cx1pO9eSd3Bvm9l61eVFQPs7orqpPZk+40r8fP2wWCyYLWZ0Oh2XXnQew1MSez15IJNKmXX5Bcy6/AJKyir576tv88Un86mvqejwnIKs/RRk7efb+XOJSRpBaMxA3Nw9Ubl7YG5pJittB1lp29ss1T9aZWk+laX57R5zlcpQa7R4aHxw9/TGXa1ptSTcU+vP9KvuOuVnC1eXF5KVtoPstJ2k7lxLbWVJh32lUnm7y/5dJBK8fQLw14Wg0wcTEhKKUqnEYDBgNBowGY14eHpy1RUzueLS6a0Sb1MmjCT3YCoHs/NZ8dt6Nv6xiZysQ9TWVGGoq8FYX4NcqcI/MBhdUAgBgToaGxqprammrrYak7Eeq8XiTJS6uasJi4hFHxxMg6mB+rpaSoryKchJ79LXQyJxxV8fSkh4FDp9MJUV5ZQU5lNWko/F3ELy0DE89X9PcvH5Z3f/i90JuUxGZVlhj4/bk6IjQ/nfi0/yvxefpLGxmfWbd7Dhj63s2LGd/NwsDPW1GOtqaGo0tjpPoXTDQ6MlOCyKWbPncNuNV6N2716JAYlE0q2EL4DaXeWcFdLXxo8ZyvgxQ0/KtY9mNltQKOSt2l6453ziU84iIi6FyPghePkGnqToBEEQBEEQDvP09m31+KY7HmiV8LVYrdx79+2tEr4BwVFcc9fzxA4c3WdxCoIgnM5E0rcfaGlupKwgi6LcA2Ts2UT67o00HLXMuatiBqQwa84N3Hvb9XhpPHoh0u7TB/rx9qtP88pzj7Huj+3k5RdRVFJCaUkphYUFbFq7olXCyWG3c3DfVg7uaz+hfTRPbz+kUik1laWd9rVZLdRXl1NfXd5hn6y07Tz4yg/IFcqu3VwfMNRVkbH7DzL3biJz7+a/kv3ti4hNYsrU85g8aQJTJozGV6uhrKKavIJiiorL8PBUExUeQniI3lnT9HjFRoURGzWHe26dc0LjdCQ7t4jvFi9j3/796HV6EgfEMzg5Ab2udQkEjaca5T8SZHD4jROr1XbC99mfuLkpmX72OKafPa7NscbGZkrKKrA7HOgD/bud4BV6jlwuI37gCDL2bXe2/XOTPG9fHZEJQw9/DBhKSOSALm/OJwiCIAiC0BN8AkLQh8VRkp8JwKrlS7G/+rRzgtGSX9dSUfL3hJy4QWO446lPTqnXWoIgCKc6kfTtBpOhln1bV2MxN+MfFElAcCRePoF9smzW4XBQU1FERXEeFaWH66CWF+VQWnDwmIm8o+lCIhkzfgo+Wh8KCgooLsrHZDSQMmwk99552ykxS60jKqWi3WRTbZ2BefM/5ZuvviBz/44ujeWnC+WOu+/nwXtuQe2u4sDBHFb+tp79+9MoLCygpLiQ8pJCaqpK28yQPpbCrFS+fudx5tz36knfNMBQV8WvX81j4/KvsNusx+wbMyCFd999l7MnjGpzTB/ohz7Qr7fC7DVREcE8ct+tx32+RCJBLhfL4bvKzU1JdGToyQ5D+Mv631fw2NwX+Gbhh+3W6K6tKmXXxl/YtfEX4PDmfP76CHx1YfjpQg//GxiK1j8Ibz89CqVbt65fU1GMoa6KkKhEXF3F0wxBEARBENqXPGKKM+mbnbGXHbvTGDk0GQCzpXVZsfqaCsqLsgmJSuzzOAVBEE5X4tVYF9hsVjb++iVLF77WZkMouULFoNHTuPL2Z3D38OrR69rtdvIyd7N78wr2bFpBVVlBt85XKN0YPHwc0849l5mXXEByQnSPxncq8Pby5KlH7uGpR+4h81AeCz7/hjVrfqO2upIGo4EGUz02m42YhIGMGjOOsydPZMb0Sa1mcA6IjWy3zmhzi5lDOQWkZ2aTk5tHRUUlVdVVVFVVYTT8/XNwMH2/813orb99T3jsICZc0DszWLtizc+fsOTzV2hpauiwT3B4LCnDRnPuOdO49YYrce1n9YoF4Uzm7+vNR++8zKv/fZJ58z9l3dq1pO3d2WE5EYu5heK8DIrzMto97u7hhbefHq1/EP76cAKCowgIjsJfH4ZMrkTyV53iuqoyln01j+1rf8Jht+Pu4UXSiCkMHj2NAUMnipk5giAIgiA4ORyOVq9vXSQSAv3/LvlwxcXn8Ob4c9m6YQUAZYVZvHDvBQwZex7JI6aQMHQ8nl6+bcYVBEEQ/iaSvp1oaW7kvadvInPv5naPm1ua2LHuZwqz05h5y/8RnTgCufL4ljabm5vISttOQVYqhdmpZB/Yecw6tv8kkbgSFp3AWROmcMF507lg2gTc3M6cF9lxMeG8/Owj8OwjPTKeUiEnOSG602T5/vQsRo8c7pxRt+j9pwmOSCAqcXiPxNEdm1Z+w3fvP9WmPTg8lhFjxjNt6tlceO7k03L2riAI3eOl8WDuw3cz9+G7AcgtKGH12j/4Y9Nmdm7fyqEDe7q0iWODsY4GY127G2B2dt62339g2+8/4KbWMPrsyxl33mwCgtvZzE8QBEEQhNNa/sF97N60nJL8zE43/3U4HPz82SvOVUcAI8+aRliIzvnY1dWVX3/+luGjx5OdsffweXa7c7WSi4sLkQOGMf68WaScdR4yWff2ghAEQTgTiKTvMbQ0N/LuUze0qQ8rkyuwmFu/UC4rzOKtJ+cglSmIiE/BxQUaDHWYjLXYrFYGDBnH9KvuJjCk/QRiYXYa7z1z8zE31jpCrlChC44gOCyC2LgEBiYnMmRQMsMGJ55RSd5TRXJCNO9/vJDZMy8EwG6z8v2Hz/HwGz/3aRxbVn/HN+882apt7OTzee3lF5zLpARBOHNFhOq55boruOW6KwBoam5h7YZtbNm+i+ycbPJycyguyKOsOA9zS1OPXrvRVM/vixfw++IFBEcOIH7wWBJSxhEUkYBaoxVlIARBEAThNOVwOFix6B2WfPaKs02tVndY7q650cRnrz/Ans0rnG0qNw9ee+WFNn29vTzZtf0P7nv4aRZ++GarTaYdDgfZaTvITtvBd+8/w5RLbmbazNv7pPSiIAjC6UK8yvoHu81GeXE2O9YtYduan6ip+Lterr8+jNdef5OrLz+fQzkF7NmfwXPPPkPanr+TwlZLC4f2t91EbPvaxexY9zNDx1/I2HOuIjZ5FBJXV5oaDORm7ObLNx/tMOGrcvNgzMRzuPSSSzh36gTCQ3Tij9kpZtblF/BkbBK5B1MBaG4y9dq1LJYW6qrKqC4vpLwoh7KibEryMlq9OeHi4sK7H33FbTde1WtxCIJwelMpFZw3bTznTRvfqt1ut5NfVMahnDxycgrIzc+nIL+AwsJ88nOzKCvMbfWi62gSiSvnzriKmZdfxopVq1mzahmVpa1LEx3ZWO63Hz90trmpNag9tXh4+aDR+qPRBqDxCcBLG0DMwFFo/fQ9/wUQBEEQBOGE2GxWPn/9AbavXdzlcz7/34OtEr5yhZKvvvuJMSMGt9tf46Hm43df4Z7bb+K1ee+xYe1qCnLSW/UxGWr4+bOXKS/OYfa9L4k3kwVBEP4ifhsCNZUlPH/XdAy1lRjrq9vdvEsfGs3GDeuIDAsCID4mgviYCC44ZyK33vMfli1e1GkpBofDwc71S9i5fgme3n54ePlSkpeBw+Fo1c/dw4uYhEEkJQ9i6tTJzJxxLiqlWK5yKmpsbGbZ6g0sX7HKmfAFCIpIOK7xqsoKOJS6nfLCbKorijC3NGFpacZsbsbc0kR9dTmG2spOx7n/sedFwlcQhOMikUiICNUTEaqHiWPaHLdYraSlZ3EopwCzxYzFbMFitWK325kwdgTxMREAXH/NJdjtdpauXM9bb7/L+lVLOkwWN5rqaTTVU1GS2048rlx28xNMmnHDSd8kUxAEQRCEv21Z/V2rhK9UKmf42Mkc2LMFezuvqR0OB7s3LXc+9vDy4atvfuCCcyZ0eq3ByfEs/GgeABmHcvnki0V88elHlBRkOfts/e17ZHIl19z1/IncliAI/dyRmuJqjRaVm8fJDqdX9VnS95t3nsDLNxClmwfuHl4MOWs6IVFJfXV5zC3NNHewsVVzo4maqo4TtmHRA1jz2ypnwvdoancVXy54C/uH89i0fQ+Lly5n7549qFQqfHx88fH1ISsri19//KrVi11DbWW7ybsRZ03lj7W/IpOKfPypLLeghKeee4XvvvqYpgZDm+Nxg9omSjqz6vv5LP70pXbfdOgqpZuaee8ucC7fFgRB6GkyqZTByfEMTo7vtK9EImHG9EnMmD6JgqIyvly0mN9//50dW9Z36Q0sALvdxncfPM2+bauJTR5FWOwgwmIHofb0PtFbEQRBEAThBFSX/70qVqFy59sfljJj+iR8fX0xm9u+0fvPWr8/LV7GlAkju33d+JgIXnr6YV6Y+xBf//grt//reox11QBs/PULRp99ORHxKd0eVxCE/q8gaz+L3n+a7LQdSKVyEodNJGXsdOx2G1VlBVSVFWBuaSJx2CTGTLuy01X2dpuNguxU0ndvJGP3H1SW5CGVK1Ao3VAo3ZAr3fD21TFpxg0ERyRQmJ3KxuVfk39wb5/cr8s/Z5n22MAuLolAaofHJRLOmXkHF8z6N65S2XFfx+FwYLfbsFmtGGorqCwtoKo0n8rSfGqrSg9/VJZSV12GUiHH1dW1zRg2m43GxsZWbVKZglHjpzJ79mzmXHXxCc+0zTiUy5PPvMjKX35w/kE6mlqjZdr5l/LB26/i4605oWsJvcdstjDnlnv58euP29R1PkKt8WHu+793OSHhcDhY/MmLrPp+frfjkStUBIVFER4ZS1x8AnfffiMDYsUmSaeSjp70yuVyqqqqTkJEgnDy2e12du05QG5BMWXl5ZRXVFJVWUV5RTkV5WVUVZRRXVlGbVVZm9UwR+hCY5hw4XWMPnsmckXX6tk/Oiul3c1lXKUyXvhy9wndkyAIgiCcaX79ah5Lv3gdAF1IJCUF2UDHz38dDgcm099l8DZs2cW4UUNOOI7N2/cwafxozC3NAASGRPHwG0tRqtxPeGxBEHrHaw/MoLwou017QHAUD7zWc/sj2W02ivMyOLh/K5l7NpG6Y02Hry/+KTJhKLPvfQldaEy74y77eh7rl35Gg7Gu07FkCiXhMYM4lLqtoy5JDocjrUuBdcNJS/oeofULYvIlNxEQFElZYdbhj6JsGgw1WMwtzo9/7jDucBye/WO3Wbsck5ubW7tJX4VSxdQLZqLT6QjS6wkO0jPxrBH4+/b8LCKz2cJ3S1ay+OelmM1mRo4YwbQp4xkyMEHU6T0N3PPQU7z16tPtHkvan6OfAAAgAElEQVQaPpmBI88m5azzujUDbfk3b7Hk81edj10kEgKDwgkOi0St9kSpUqFUKlGpVPj7+RMREUZ0RDix0eFEhAW1+zMtnDpE0lcQjt+ixSu56fprMNXXdNhHrfFh5ORL0IXG4KcPx18XjqfWH8dfbwjb7FbsNjsKpYonrx8pkr6CIAiC0ENWfvceiz95EQC/wBAq/qrj39Wkb9KQMezasg65/PgngR1x+31PMP+Nv8s6RCYM5cb/zMMnIOSExxYEoef1dNLXbrdTmn+QnIw/KS/KprI0n8qSPCpLC9rkE7tDKpUz/aq7mDrzNmQyBRZLC+WF2SxZ+Br7t/123OO24/RO+o4aPw2QYDTWk7l/V4d1/XpTR0nf+Ph4tm/f3ufxCKef2Tfdw5cfv9XuMXdPbx5769cubzhkqKvitx8+YPUP7zvbFEo3PvniO66+7LweiVc4+UTSVxBOTHZuES+/8S67dm4nM233MRPAneloN3EHIJEqUbl74qb2xE2tQeXuiZdPAD4Bwfj4h6D1D8JPF4ZcqTqBuxEEQRCE/uO7D55hzeIFAASHx1KYmwl0PekLcM2Nd/HlgvZfX3VHc4uZlBHjyNj39+t6pZsHdz39CVGJw094fEE40zQ1GikvzMbdU4unty8KpVuPjn+8SV+b1UJNZSnV5YXUVBRTXV5I/qF95KT/2W7pzfZIZQpm3XQnCpmcX37+npKCLCSuUvwCg9EHh1OUn01lWWGrc3wCQ5DJFFQU52K329qMKVeoSB46hhEjRwPQYDJhajBRWlLMlnXLW/VVKN0YMmo8W9atOLq5V5K+fVY49qN3XycxMRGAdZt2ct2cOW123ewpcoUSf30YuqAQdPpggoKCCQsL4fMP36KwIL9XrimcGWZcdEGHSd8GQy1ZqdsYMemSY47R1Ghk+ddvsW7pp61KREhcpXz74y/MmD6pR2MWBEE4nUVFBPP+vP8Ch9/BT8vMYdmK3/lg/tutNtA8IQ5Hh7X2jyaRuBIUmUBk/BAiE4YSEZ+Cb2Co2GBOEARB6LccDgf1NRWU5GdSXVaIq1SKVKZAJlewc/0SZ7+I6LhOx2rv7+VXH79NfFwcT/7nrhOKU6mQ8/OPi5g4aTKlhTkANDcaef/523jszWV4+Qae0PiCcKZwOBys+n4+Sxe+1mqFnELljp8ujJm3ziU2eVSn49htNkyGGgy1ldTXVNDYYECuUKFyU6NQqbFa2q6+O8Lc3ERpYRYl+ZnOTe5rKoqpqSimvqa8y+UZjiaVKYhPHsqYseO5586bSYyLOhznG89TU2tAo1E799aqqzdy+72P8O3C+c49l6r/kQQ+wsc/iHlvvcclF0zFza39knMPz32JeS8/g9rTi2vm/IvHHrqb6soykpJWtNu/J/XZTN/U1FRn0hcO7/694PPveeN/r5GZuhMAN7UnIeGxRMXEoQ8Kxk2lQqVSoVQpUSoUuEha/5GQSWVIpa7IpDJkchm+Wi+SEmKJDA9ut1TCiBEjyMjIaNMuZvoKXWWz2Rg98Vx2/NH+NP4n3l1FUHjHT3h2b1rO1+88gbGu7QzPR+a+zAtPPdRjsQqnBjHTVxB6h91u59ufVvDe/PlkH0ynoqSg01VEHc70bWfmUVcp3TwIiRxAcOQAopOGM3DkVKQy+XGNJQiCIAinAofDQU76LravXUxVWQEHdq3v9Jz5n3zDrddfCXT8/FcqlVJbW9um3UUiYcHn33HDrEtPOPbaOgOzbryD5T996WwbM+1Krv33yyc8tiCcbipK8tiyehE71y+lvrYChdIdhcoNpUqNm1rDoFFTmXjhdc59tizmZha8dA97t6w85rgXzr4fP304CpU7coWS+uoKKkvzqSoroLI0n+ryQgx1VcfcpL6jlfguEleMhvrjSuzC4cl0wWExhIRHEhERRXRMNMmJCUybNBa1e/dW7K1cs4nbb7+t3YkmLi4uDB0zhW8WfkJURHCnY1msVmdSGSAtLY2kpKSju5ze5R3+mfQ9Wk5+MQDhIbperWsrkr5CT7Db7Tz29Ku89MzDrdojE4by0Gs/dnje3q2ref+5W9r84hs57hwef+wRLjx3Ym+EK5xkIukrCH3DYrVyMDuf/WkHqayqRiaVIpVJkctluLpIMJoaePSB27HZ2i7HcnV15V93PUxtXR11dbXU19VRV1dDRWkJFaWFNDUauxyHh5cvY8+5iskX34iHxqcnb1EQBKHfcDgcVBTn0mCqQ+Ptj5dPwAlt7i30jOamBlZ/P59ta39yzmqTyRUdbmB9RPLQsezZvsH5Wv5Yz38V7l7ODd+OpnLzYP3GzQwfktTmWHfZ7XbOmnw+W9YfnkUXGBLN3Pd/P+FxBeF00WCs57PX7+9SzdmwmIEMGXc+MrmCzasWUZRzoA8i7Djpa7PZaGxs7NIYrlIZvv5BhEREM3zEKCZNGMe0yWPQeKh7LE6z2cIL/5vPpj/+wNfPj+SkJIYOGciIlGS8NB7HPe4ZlfTtKyLpK/SEl+Z9wKP3394qeRsancytT7yP1j+oTX+Hw8G6pZ/y44IXWhUQHzR8HG/873Umjh3WJ3ELJ4dI+grCqeN4/z+WV9aQlp7F5m072LxlC3t3baOkIOuY1/LTh/P428t7vP6ZIAjC6e73xQtY9uUbrWovuri44OHli7evDrVGi9LN468lwO6HP3f3wNtXh29gCD4BIbipNVitZuqry6mtKsNYV4kuNAZdaOxJvLPT31tPzjnmrF65QoWLiwtmc7PztZCfLpTly5czdNAAZ79j/b212CXOckohkYkU5vyd40hMGU3qn5t75F6ef/VdnnjoTuBwYmjeTxm4uvZZdUtBOGmM9dW8+fjsHkneLvzmZ7TeXhSVlvGf+++mvqaiByI8rCtJX4nElcDgcHTB4QQFhxAWGkZ4eBgxURHExUQQFR582m5s31dJX/FbTxC6obbOwNxH7mszW3fgqKlk7PkDD40v7hpvTPU1lBdlU1aYTWF2KoXZrf/vPvr0Kzz3xP29OrNdEARB6BkBfloC/EYwefwI4PALyOLSCjZu2cWOXX+yb+9e9u3eTkXJ3/sGVJbkUVdVRkBw5EmKWhAE4dTUZDK02WzH0cXa6kfIFEosLc2t2lwkEmbf8yJjpl3ZY7GeaQoO7W/TdsFl1zJ02DCSByRgs9nIzs0jLy+f3Nwc1q9eitbHn5+WrmiV9O2I2WzBaPz7ez/5kpvISt3OppXfAJC2ewu5BSVEhHZtY+xjSRzwd8k9m9VCVWmB+Jss9Gs2q4Vta35k2VdvUlNR5Gx3lcoYPeEcppw9lZbmFowmEyajkd9W/kJx/qEOx5t64ZXMvvIi5+MZ553N5VdfR9renTQ3NtDcZHKWYHCRSPANCEYfHEZoWCQRERGEhYUSrNcRHKwjPERPgJ8WU2MTNbUG6urqOXfaFJoa25ZX89B48dQLbzJsyECGpyR1uySD0JpI+gpCN6jVbkhlMv7xHJNfvni9S+e7uLhw94Nz+e//PdgL0QmCIAh9JUjnz1WXTueqS6djt9t59OlXePmZR5zHlSo1PgGd1/cSBEE4kzgcDvZtW33C4/wz4QvgsNtZ+MZ/aDQZOPvSf53wNTpjt9mQnKYzzDri5RuIyVDTqm3T+tUs+/GLDutrZqbu5PnUnSgVCoL0OtLSM7FYrO32dTj+njjjExjCsPEXovXTO5O+AL+v38zN115+wvcyZGDrVcbff/gMt8/9WEy6EfqdytJ89m5ZybpfPm+z2VjMgCGsXL603TdSTA3Pc98jT7Ny2c80NhixmFswm5sxtzQTEZPIf595slX/AD8tG39b6nxst9sxGBuoN5gI8PdBqeh8TwuNh/pw6YVQPWGhwe2uxA8NDuKhe27q6u0LnRBJX0HoBplUyvJVa7jv/ofYtWVNt8719g1k/oefcsXF5/RSdIIgCEJfs9vtzLz2Vn786qNW7aOnXSE2dBME4Yz25x+/smHZQuRKN4LC49GHx4HDQWVpQa9e94ePnsNPF8ag0dN6ZXyLpYVF859i628/EBY7kIuvf5joxOG9cq2+NmjUtDZLwmuryrp07pP/ucv5eUcbpx4hkbhy/f2vs2vjLyz5/LVW7SOHDe5m1O0LDQ5k1Phz2brhcF3f1B1rObBrPUnDJ/XI+IJwsjQY68k/uIeD+7exb+sqSgvan62bPHQsa1cvw8db0+5xtbuKD996Ed568bjikEgkeGk8TqiurdD7RNJXELpp3Kgh7Nz8O3vTDvLq/95h6+YN1FZXYqirarXJgVqjJTgsmoioGAYmD+Tfd95EoL/Y1EcQBKG/6CjhO/HC67jkhoc7OEsQBKH/s9tsfPrqv53PjbuymVBP2r15Ra8kfRtN9bz/3C0c3LcVgOy0Hbz20OWkjJ3OpItuIDA0GrWntt2Ep81mPeVryp53zb346kL5Y/lXZB/Y2W4fiasUu639mbydc8FT64+buydvPTkHc0tTq6MXzpxDckL0cY7d1qKvPyUmKpKW5sP1QfduXSWSvsJppanBQFFOOoXZaRRk7Sc3cw8VxTnHPCcoLIYHH36MO/81G5n01P6dI/Q+8RMgCMdpUGIsCz+a53xst9upN5goLCnHx1tDkM7/JEYnCIIg9Ca73c7ls2/hp68XONtU7p7c8vh84gePPYmRCYLQVXabjbyDeygtOISfLozw2MHIld2rHWi32TDWV+Oh8el3S/1PhMTVFaWbR6sJET3GxQWpVIZCpUauUCKTKbCYm6mtKgVAJlcwasql7Z5qtZipKi+kqjSf+poK6msqMNRWUl9TgcXcTFBEAlEDhhGZMBS1pzdwuCRFS1MDtVUlfPTCXZTkZ7YZd/em5ezetBwAN7WGwJAolG4eNBhqMRlqMBlqaWlqwE8XxuSLb2TMtKuQK5Qn9GVwOBysWbyAzasWoQuLZey0K4kbPPaEyhdIJBJGTbmMUVMuo6wwi31bf8Nut6H1D8InIBgf/2A8vf3Y+vv3/LDgvzQa69qMcTix3dEsXweGmgoM7WwGFZc0jPlvvnLcsbcnRB/AqHFTWb/6ZwA2r1rEyMmX9puZ2UL/VFtVyu8/fcSeLSvblGvoiETiStKQ0dxw400i2Su0In4SBKGHSCQSvL088fbyPNmhCIIgCL2oqbmFGTPnsPqXRc42lbsn9z7/JWGxA09iZIIgdNXKRe+y+NOXWrW5SmWERicRlTicuIGjiU4cgdJN3eEY9TXlvP7wVVQU5yCVyvHVhRIQFIlfUDh+gWF/JcqC0PoHo1C6OROO5UU55BzYiae3H8MmXIRG2z8nCky4YE6X973oFocDq8XMkLPGM+miG5Ar3VAoVUjlSpqbTNjMZoz11Wxb8yN11eXUVpZQUZJHZUke1RVFbTZkPlraznXOzzU+AZhbmmhuNLV7jl9gCEZDLc3/2Iio0VRPTvqf7Y5fWZrPt+/N5dev32LY+AtRuqmRyRVIZXJkcgUqN088tf5o/vpwU2vanTXc3Gjih4+e448VXwNQkp/Jrg1L8QkIZvjEi5HJ5JiMdTQa62gw1tLc2ICvLpTw2EGEx6UQFB7XaQmiwJBoAkOindfLPrCTtUs/JSt1G+XFue0mfOHwjGZw0HHitzV/fRgPPzaXe2+bg2svvHHy73/fzYbfl+Kw27HbrCz+5EUefPWHHr+OIJyoBmMdPy54nm1rfsJmtXTaX+3pzdCR47loxgyumXmRWFUstEskfQVBEARBEDqQW1DCspVrycvLJ78gn+KiQnIOpVNenOfsIxK+gnD6qSjJbdNms1rIzdhNbsZufvvhA2f7oFHTSBk7nUGjp7VKAn/73lznMlur1UxZYRZlhVntXs9NraG50YTdbmvVvm/bau578dvjuoe66nL2bF5OYXYacYPGMHT8hadU+YCJF17H6h/ep6WpATi8odDa35ZjNB3e+KfeaKSxsQm1uzsaDzWeHmq8/po8kX4wh4zMLA5lZ3MwM5Ntm9ZR+Y8Zb9vXLmb72sW9Fn99dXmHx+IHjuD3lb/QYrbw7wcfZ8WSbzC3s7lcR4x1Vaxd8kmn/aQyBQHBkQSFxxMcmUBQeDw56X+ydsknNJrq2/SvLi9ixbdvtztWVtp2tv72vXPcwWPO4dwr7yIoPK5VP5vVQnlxLnmZe8g/tJf8g/sozE5r87N7vHz89SQNGs6wESOZOG4M0yaNQS6X9cjY7bn4vCkMGTnRuR/L0ZvJCcKpoqW5kTcfn01B1v52j8sVKiJiEkkePITRo0YxefxoBibGio0JhU6dOs8KBEEQBEEQThFGUwP3P/osn77/BlZLx8uT1Z5a7nrmM5HwFYTTjKd312fX7t26ir1bVwFw30vfEps8CoDpV93tXNLfmfYSdACG2krKi3KoLi+kurwIu8OOLjQGfVics7zAEU0NBiqK88hK287uTcvJSd+Fw+EADi9bX7rwdaZfdTejp8485iZafcXdw4sJF8xh1XfvAXDowJ+cc94M3pw3j7iYcFJ84jtM9gX4aZk4dpjzsd1uZ8fuNBb9uIQP3/0fxrrqE45PJlfg5ROA1jcAX7/DPw9pe3dSd4xkL8Dk6ZexeNFneKjdAfh50SeYzR+QlpHF7n0HSEvP4NDBQzS3NOOj9cHH1xc/P18kLi58+vGH5GTu63KMVksLxbnpFOems33tT+32cVN7IpUpMNRWdmvcneuXsHP9EiIThmC1WGgw1tJgqKO5ydT5AP8gcZWi8fZF4+2Dt9aP7PQ/nT+bR1MoFFSVF3d7/ONlsVq5/d7H+HPrWmdbTNKoPru+IHTVV2891ibh6+Ov5/G5z3HWqOEMHhgvSjYIx0X81AiCIAiCcMZb/vsf7N6zn7QDB8jMSOfQgb0Y6qqOeY6/PoK7nv0MP11YH0UpCP2HobaS4rxMqsoKUChVqD21uHtq8fLxx8PLD4lEgrmlGUNtBYa6Kgw1lRjrq1G6qfELDMU3MBR3T+9jJjftdjum+mrqa8qpqyrHajXj7uGFu4c3CqXbccW94ZeFzqRvSFQiIVGJFGanHddYAGWF2Tx1S/sbS3l6+6ELi8VqMVNZktdpUq+qrICFbzxE9oGdzLrnxVNiBti5V97J1t++d8aetmcrUyaMdB5XKN1wU3syeNgY3n3zVeJjItodRyKRMHJoMiOHJnPTdVdzxVWzSdu95ZjXdpFI8NL64+uvIzg0gqioaGJjY0mMjyE5KY6gQL82XyO73U5qRjYrf9tAUXExnh4eeHt74e2lwdtbQ2x0BANiI9tcSy6XkTIwgZSBCceM6fEH7+Dr75fx7vz5lJUUYTa3YPnrw2xuodFY360ZtfEDR/Dpxx8xKCmOz77+iQULPuJQ+n6UKjc8PL3x9PLGy8sbpVLJwYw0cg+mYbWaW43RUSmK9nh6+5EyfCzDhg0nMiKciIhQYiPDCQ/VtSrN4Ovri9ls7nigPrB0xTruv/8+stL3ONtcJBKGjDvvJEYlCG2ZW5rZuX5Jm/bqihI+/OB97rrlWpHwFY6bS3vvwPXIwC4uiUDqkcepqakkJib2yrW6asSIEWRkZLRpj4+PZ/v27SchIkEQ+ruOnvTK5XKqqo6dUBIEoWcd60Wo0Wg85rlqjQ9aPz1a/yC0/kHoQmMYNuEilCr33ghVEPoNu91ORUkuBYf2UZCVSlFuOiV5mRiP8aaKq1SGTKbodMahUqXGVxeKQuWOw27DZrNht9uw22w0mQzU11Z0WhdRJlcgV6hwkbhit1md55tbmtrtHxgSg9Zfj0QiwUXiSmn+Qeqqy7BaTk6Cy8XFBbVG22bma0LKOGZc/zBuag0Hdq0jbec6CrL24+ntx8BR0xg8ehpBEQl9MiM4L3MPH/73Dmoqjz3D091Dw/Mvz+PuW67tUsK6uLSC6tp6jEYTBqMJo7GBxqYmdIH+RIWHEBaqP+0SJRarlZLSSnILiikoKiYnN5/9+/eTeSCV3KwDNJoMAAwdPZknHn+Ui88/u1vjNzY2s37LThZ88jlLvvv8mBvtuUgkhITHkThoCCOGD2f6tMkMT0ns0vemL5//7k/P4ruffqGoqJiyslIqykqpKCuhMLf1636pVM6VdzzDWede3aPXF4Se8NaTcziwa327xzZt38OY4YP6OKLed6bn59LS0khKSjq6KcnhcBz/u8gdEElfzpwfKkEQ+p5I+grCqaOj/48OhwOTqf3kUnjsYK6641lRvkEQuqDRVE9p/kGK8zIpyc+kJC+Twuy041oufiaSK1SAo9PasC4SCUkpo7lwxiXcMGsmocE63vnoC/7v0QcwGWq7fD2fgGCShk/GJyAYDy9fPDQ+eHj5oNH64+nt36MJ4eZGEz998iIbl395zI3UAKITBjN37tPMvvKiHrt+f2C32zmUXYCbu4oQfcAJj5eTX8wrb7xHfn4eXl5eaLU++Pr64OvjQ0iwngljhuGl8Tiusfvi+a/dbueJ517npWcexW6zHrOvnz6cfz36DiFRScfsJwgnQ1lRNlt/+4GVi95pcywgKJzCvEOn3RtYXXGm5+f6Kunb/35yBEEQBEEQjoNE4op/UDi60Fh0YbFExA1mwNCJp8QSaUHoSw6Hg6qyQvIyd1NfU4HdOYPWit1ux2q10Giqp8FQS4OpjgZDLcb66mNufNURmVyB1WrpNBEIh5OiHc3APd2ExyQyfuJUUlIGERcTxYC4aEKCAnA4HOw/cIjtf+5jz979HMzMQK5QEBMTS0JcLAOT4hmYGIfaXdVqvPvuuIGUQcnMuGB6p6VpjqguL2L9L5+3e0zjE0D0gOFEJw0nOnEEHl4+mFuaaWluxNzciLmlCUNtFVWl+VSU5lNVmk9laT4tzY1IZXKkUhlSmRxXqRyZTI67pxcabQCjJl+GxdKCQumGUuWOm1pDaWFWq6XNWel7uPaqGWQeep1nn7jv+L/I/YxEIiEuJrzHxosMC+K9/z3XY+P1pZ170rj73gfZumHFMfspVO6ce8WdTL74JuQKZR9FJwidq68pZ//2NWxZvajDEisuLi588eXX/TLhK/Qd8dMjCIIgCEK/Z2powmbruE7izFvmMv782Uhl8j6MShB6h8PhIHPvZopyDlBZmk9VWQFVpQWYDDVEJgzhojkPERKViMPhoMFYR3VZIVXlhVSU5JKXuYfcjN3HLL9wvAKDI4hLGMiApGSGpAxi5LDBJMZF4nA4qKyuo6ikjKycAnLz8mlqbkYfGEhwkI6QYB1hwTq8NB6YGppIy8gi41A2Bw9lk5ubS0tLC64SV6QyKa4SV1xlUtRu7gQHBxEWGkJEWDCR4SGo3VSUlldRXllFRWUV5ZXVVFVVU1NbS21NLXX1ddTX1VFfX4fDbkcuV6BQKJArFMjlclylUuw2G1arDZvdhs1qPfxxpLSEzY7VZj2cJHfYkcvlKBRK5HIFcrkCpUrJ0CFDuOLSC4iN6rgW+ODkeAYnxwNXdOvrO3HsMNLTD/DY3Bf4+rP5zgS5i0RCbOJQxowdT0bGAXZtWdvpbOL66nJ2bfyFXRt/6VYMAC1NDd3qL5Mr2m1fvnyZSPoKwOFZvfvTs/hl+W+sWbOGdat+bjW710UiISAoAo02AC+fQDQ+AWj9g0gZcy6e3n4nMXJBAJvNSnFuOjnpu8g+sIvcjD+pLi/qsL/EVUry0DE898wznD1BbDwonBiR9BUEQRAEoV9bumIdc2ZfhdVqbXe5sqtUxuSLbzwJkQlCz7NZLcx/9hZSd6xp93jqjrWk7VxHYEg0tZWlvVJ6QSpTEBweTUxcIskDBzJqxHAmjB2Ov693h+cE+vsQ6O/DsMHHLgendlc5N/Q6HlERwURFBB/XuacDfaAfn77/OnMff5AFn39DgL8/My+eTqC/j7NPvdHEtz/+yo8/LiYzfR91NVUY6qo7XSLfW9qrK+sikXDbbbedhGiEk625xUx2XiGZh3LZl3qAPzZuZPeOTdRUlrbbX+2p5aZH3iJ+8Fl9HKkgtOVwOKipKCbv4F7yMneTm7mHgqz9WDp5o00qlTNqwjQuueRSZl0xgwA/bR9FLPR3IukrCIIgCEK/tXTFOmZeegEtTQ2o1ep2+/TFRkaC0Fd+/PiFDhO+RzgcDkoLDnVpPC+fAKRSGRJXV1xdXZFIXJFKZag9PNF4a/Hy8kar9UGr1RITE83wIQNJSY5HLpf1xO0IxykiVM9zT9zf7jGNh5pbrruCW677eyax3W6noqqWwqJS9qZlsH79RnZs30JW+p4ON8NzcXFB66cnKDSC0LAIIqOi8fXR0mI209zcgsVsprmlhZbmZiorK6ioKKeqopSayvJjlqBwU3vy/kcLRU3ffsxut5NXWMq2nXvZtXsvBw6kkZN1kMqyImqry7tU7kXiKmXc9Gs475p78fTy7YOoBaE1i7mZiuI8SvIzKchOpTA7jcKsVBpN9V0eIyp+EFfNmsMdN1+LPlDMShd6nkj6CoIgCILQL6VlZnPl5TO6vdRYEE5XNquFP5Z/1aotIjaZ8MgYwsMjaGxq5IevPsZqaTuzEkCj9SciOoFhw0dy1lmjmTpxrHgReoaQSCTO2dbDhyRx87WXA2A0NbB+007MFgtqtRueajWenmo81O74ar1QKdsvzdCZpuYWMg/lkn4wh4NZ2eTm5JKfn4dCoeSFZ58kZWBCT96ecIqwWKwMGDyKwtyD3dp08AgXFxeCIhKIGziacefNJiA4sheiFM50DocDm9VCc6OJ+tpKDLWVGGorMNRWUl9dTnlxLuVF2VSVF3bpDYojpFI5UQmDGDp8JOPGjmXalHFEhgX14p0Igkj6CoIgCILQD9ntdmbNuZGmBoOzTSJxxeHo+pNzQTjduEplhEQnkZ22w9l248238sRDdzof73/4ft794FMMhnoiIiKIiY4kPiaKAXGReKjdT0bYwinMQ+3OBedM6PFxVUrFUbWLhTOF3W4jfe+2LveXSFwJjhxATPJIYgeOJmrAcNw9NL0YoUjPUv4AACAASURBVNDfHKldX19dTn1NOXXOf8uorSyltqoUY301VosZq8WMzWLBajX3yLX99WEkDhzK8BEjmDB2NBPPGoGbm9hQUOhbIukrCIIgCEK/s3XnPvZu3+B8POrsy8nYtQabVSR9hf6hpbmRzL2bSd2+hqLcAzQY62k01WOqr27Vb+3ata2SvskJ0bz3v+f6OlxBEE4BRlMDv6/fgs3maHPMZrfT0NBAvcGA0Wii3mCkwWTCZDIhkUiQy+VIZbLDGxTK5cjkMmRSKS0tZswWMy0tZlpaDpf1MJvbLwnSHqWbB/qwWPRhsfgGhuLtp0frH4TWT4/GJwBXV5GyELqmIGs/h1K3OzcnrS4rpLq8kJbmxl6/dkBQOPEDBjFw0GBGDh/KuDHDCQ0O7PXrCkJnxG9QQRAEQRD6ndVrNzo/l0hcmXnL//HsrceucyoI/5ST8ScHdq7HyzeQ8NhBBEUknLQa0FaLmaKcA2Sn7+LArvUc3Le1wzINR2sw9fxGbYIgnH6ycgoYPHggDcau1xs9Xmq1ut3flS4uEsZMu4LAkGh0obHow+Pw9tWJ2vrCcbPZrOzZtII1P39MTvquXruOi0SCxtsPL60v+uAwYuLiSUwYQMqgRIYOGoC3l2evXVsQToRI+gqCIAiC0O/k5uQ6P7fbbajcxZNxoXsMtZW88ejVrXbc9gkIZtj4ixg28SK0fnqaGow0NRppajDS3GCksaGeBkMdxvoqjHXVGOurMdRWYaqvRuMTwKSLbiBl7HQkEskxr93S3Eh5UTalBYcozEolN3M3BVlpXUryHs1FIuGqq686rvsXBKF/WbL89z5J+B6Lq1TKtf9+5aTGIJzeHA4HVWUFHNq/jazU7RzYvYH66vIuny+VKfD2DUDrG0BgoB59cDA6nQ6VSoVCLkeukKNUKFDIFXio3QkJ1hMWokev80MmFekz4fQjfmoFQRAEQeh33Nxb1yb94PlbT1IkwumqwVjbKuELUF1exMrv3mXld+92e7yqsgKy03YQEpXIlEtuRiJxpbHBQJPJQFODgcYGA7WVJZQVZlFdXtTlcX389Yw6azJBwSF4e3mh1WrRar3w9fFmUFICEaH6bscqCEL/M/OS8/i/R71oMNZ1+Rw3tQafwBBwOLBaLdgsFmw2y9+f261IpXKkMjlSqQxXqQypTE59ZRHQtoSEIHSX3W6ntOAQWanbyErbwaHUbcdM8soVKoLDYwgKCSM0NJyIiAiioyOIDA8lMiwYXYBvp2+8CkJ/IpK+giAIgiD0O+dMncz8N57H4Tj8onPP5pV4eHic5KiE00lAUBTuHt1LkHRFYXYan75633GfL5UpiE1MYcrZ5zDzsosYO2KweAErCEKnQvQBvP/xQmbPvLDL5zSa6on0HsqlNz2GLjSmy+c9OisFm7XrdX0FwW63U19TTmVpPpUleVSW5FNaeIjstB1d+jscoA/nuptv46F7bsXXx6sPIhaE04NI+gqCIAiC0O/MmD6JDz5bxP333Iax7vDGVg6HQ9QNFLpM4upK/OCz2LXxF2fbhKkz2LJhJeZ/zAB2niNxxd3TCy9vP7x9fNH6+OHn549arWbJj99QXVHcrRhcXFycu3+PHDWKiePHMG7UUFRKxQndmyAIZ6ZZl1+A7MflLPzyK0qKi6goK6ayvJiWpoYOz0ndsYbUHWuYfPFNXHbT40hcXfswYgGgJP8gDocDQ00FFSW5VJTkUVF8+N/aqhI8PH3wCwrHXxeOf1A4fvoIAoIiCAiOOuWe91jMzZQX5VBacMj5UV6cQ1VpPhZz10sYubi4EB6TyLARYzlv+jnMuuJCUX5BENoh/lcIgiAIgtAv3Xzt5UydOJYRo0ZTUZLfYT+Hw07m3s24e3rjExCMyk3MCD7d5WXuISttO3KFGx5ePqg1Pnh4+eCh8cFNrenyi+CEIeNaJX0D9XrWbthCTm4BdhxovbzQar3w9/HG18cbTw/3DmfdNr72HM+89Cbvv/M6ddXluEgkuLl74KbWoPbwRO2hQav1JSY2jsTEBAYPTGLooAQ81O7tjicIgtBVdrudvMJStuzYzZ+799JiNlNbU4XVakEfEglAg8lAZWmBc4XMP61ZvIDgiARGT53Zl6Gfscwtzfz69ZvoQqM7XR1SU1lMTWUxmXs2tWr3DQxl2ISLGD5xBvqw2N4M95iaG01sXP4lm1ctorw4B4fd3u0xJK5SYhIGM2L0WCZPnMD0qRMI8NP2QrSC0L+IpK8gCIIgCP1WWIiO997/iJkzzu2wj81q5Y1HrwZAKpUz+98vMXLypX0VotCD6msq+P7DZ9m5fkmHfSSuUjy9fIlOGsHg0eeQOGwiSjd1u30Thoxv9fjbz97ju4UfkDx0DKPHjOPsyRNJTojuUmLWzU3Ji0//h//OfZB6gwmNp1qUZRAEode9+L/3een5udR1Y7OrjohZvn0jY88ffPX241SW5OHu6X3c41SVFbDi27dZ8e3bBIXHM3raFUy68Po+/T4W5abz5uOzMdZVdfkcqVSOvz6UoNBwBg0awtlTJnLOlLPw8hRvygtCd4mkryAIgiAI/dqlF5zN1z8s4+Y5nc9OslrNfPrqfbi5a0geOaUPohN60rKv5h0z4Qtgt1mpqy5j5/ol7Fy/BKlUTnzKWMafdy2Jwye1SsRq/fRMvOh61i359O/z7Tb27tjI3h0bmT/vv0ilcmISU7hm1rU8fN+tnS4vlUgkeHt5ntB9CoIgdEVdvZG5j96HuaXphMbRhcUy9pyrGDbhoh6KTGhPVVkBP3z0HHs2r3S2NRhqW/WRK1ToQiIIDY8iMjKa8PAwSsvKyc3JJj83m5LCHEz/OAegOC+D7z94hsLsNK5/4PVev5cj1ixe0G7C18XFBT9dKOGRscTExhMTG0NCbAxJibHERIaKUg2C0EPE/yRBEARBEPoVu91Oi9lCS4uZxqZmsvMKqampRSKRYO/iksLPXr+fFxZuQyZX9nK0Qk867+p72PjrF906x2o1k7pjLak71qILjWHq5bcxasplzhIQV972NKMmX8ZvP33InxuXYbfb2pyfvncbT+7dxkcfvMt/Hn6c0JAgvL088fLyxFvjidZbg1Ih77H7FARB6Ird+zPaJHxV7p7ow+MICo/H09uP5iYTzQ1GmhpNNDUYaG40YW5pIjAkmqRhk0gYMg5Pb7+TdAdnjj//WMZnrz3Q5vsVFT+YO+++h5HDUvD31RIZHtzpKpGyimp+WrqKr7/5mq0bVrWqlbvt9x9IHDqB4RNn9Mp9/FNBVqrz85CIeO64+9+MGJrC0JQBaDzaX2UjCELPEUlfQRAEQRBOS80tZu575Bl++HYhxvoabFYLNqu1TVLuCLVa3eVaro0NBhpNBjRakfQ9nWSlbm/TpnRTc8Wsm5k4YRwyqZTS8kr27dvH76t+obQwp1Xf0oJDfP76AxRmpXLFbU8528NiB3LTw29x8fUPs2vjL2SlbicrbQdNDYZW5+dnHeDOf81qNzapTIHKXY2HpzeeXlq8vbV4aX3Qemvx8fXF29sLlUqJUqFApVKhVCpQKpS4qZSolEqC9P7ERoWJkhCCIHTZwazWv+Nm3jKXs6Zfg1wh/radKmxWC798+QYrvn27VbvK3ZN7HnicZ5+8v9uzXgP9fbj9pqu5/aarqaquY8EXi3j2yf/QYKwH4Ot3niBu0JheT+ZbLWbKCrOcj6+4Zg6P3HfrMc+x2WyUVVRTUlpBWUUVZRWVVFZW0dDYiMVswWJp++Ht7c3D999BkM6/V+9HEE5HIukrCIIgCMJpZ+PWP7nuuuvIPZjaeeduCgz5//buO76t6tAD+E/bsq1ly5Ity9uJHS8ynTRAJgQIo1ACFApllPZR2j5GeaGDV8rreKWvfYVCS0tfoaGBlgZaShiFEAJkJ2TY8ZS3bHnI1pYsL+m+P5w4MY4TO16x8vt+Pvpc6dxzzz3yx7akn849Jwurr7sHmjh+eJhtUrLycen624eN9u3p9uOlPzyFl/7wFMzpc/G5S1bjqivX4Wv33oltH36CzZv+OOL3aMebL2LRpVcjK3/JsPJ4oxnrNtyHdRvuQzgUQmtTNSzH9uOjrX9CZ2vjGfs20N8Ln7sXPrcDrdZze36xmjjMnXcRCucvwNLFi7Hy0qXIzU5nEExEp2W3dw57vOX5J/DGpieRU/Q5LF93CxZcfNUM9Wz6CYIAn7sLsZr48+Z/Zpu1Bpt++TCaakqHlV/9hdvx26f/B6nmxAmfQx+vxaMPfA2qmNihLyWDAS8+/eQtrPn83RNu/0wCPhdCA/1Dj3/5k+/h71v+cpqaAnp7gvC6nQj4Pee00NvevbtxcNe2CfSWKDIx9CUiIqJZ5Qc/fQo/fXzjsA8SYzHaKF+JVIaf/GkPYjXxHP00yxnNmbjtmz/Bug3/hlef+wHKDu4Ytr+l0YItjRZs2fz7s7a17fXnR4S+pxJLJDBn5sGcmYdL19+Gj978E95/7ffwexwTfh6j8XucOLxvBw7v24FNx8vUWj1yCxZg4aIluGT5MqxdtRyJhvgp6wMRzR4XLyuGSCweFqL19/YMTWlz/+MvXBDz17c2WfDnpzaisfoI4gxmXLzuZixfdwu0+omHquMVCg2g7OAO7Hn/VZQd+HDY1UlSmQJP/uo5PPyNyQ9j77/3NjzzzNOoKh28Iqbq6K4pD33VOgPmFn0OltK9Q2UNlmNTcq5Pd3+Ant4+TqVE9BkMfYmIiGjW+GTPIfz4sYchCMJQWVLaXKy65k7I5ApIpLLBm0QKqUwGiUSGWI0OCUnpeOKrl542KBaJRIgzJE/n06Appk9Mxf0/fBGl+z/A2688heba8Y8IDwtjH2kkkylw+Y3/hrU3fBXBgA+9QT96ggH0BP3o7R7c9gQDCAZ8CPhc8HucCPjc8HudCHhdCHhdCAZ8GOjvw8BA37j66XV34cCubTiwaxt+9/Rg2dVfuB2vvfJHfvglusCtWVGMf769Hc8+93vs27kdXtfwkb+/feIeLFpxLQqXrEHe4pVQaSLrC6Penm5se/15vPfqb4b+tzrtLdi6+X/x1itPoWDJGnz+y/+B5IzcST1vaKAfzs42ODqs6GpvhqOjBY6OZjg6mtHRUo+Azz3iGHP6XGza9GesWVE8qX0BBtc6qG1oht978rxnuzplMohEItz1yK/wk29eNWJBuvGQyhRQKKMhkUghkcoglcogkUrR3lw3rN7iZSvx2988ixXLF02060QRg6EvERERzRq/+NUzQ4GvSCzGuhvvw9W3PwiZTDHDPaPzjUgkwkXLLsdFyy6Hx2lHdcluVB7ZhcojO+FxdAyrq4iKRrRKi5jjN6M5E+s2fH3c5xSLxYhRaRCj0pxzvwVBwMBAHwb6etHf3zcYBPf1wt7aCGvtMVhry2CtPQZXZ+uobbz9983YcBvw5pZN581lzEQ0M669chWuvXIVQqEQPtr1KR7Z+CiOHvh4aP+hT7bi0CdbIRKJkJpdiHijGTEqHWLU2uNbHWKPP47VxCMuwQSpbGq/UOr2e/DIF+dDF5+ExNTs42GfFGKxFGKJZOjLXUVUNORR0VAoo6FQHN9GxUARFQ1XVxve+cvT8Djtpz2HEA7j2P4PUFd+ED97+eCkvI8oO/ghXv+/H6PD1jDmKQpEYjFuueM+/OE3v0BsjHLCfQj29OLIsSocLSnHkZJSlB49jOqKkhE/B/8EQtjx0OmTsPGX/8CBj/6J/r6eUevJZArEanSIUekQq44b/H1TxyFGrYNcoTzt1VqOjmb89FtXo9s/OFdx+dF9WHnxYszNX4RXXn4Jiy7Km7LnRTRbMPQlIiKi815fXz/uuu8hbH1t01DZsjU34vq7H53BXtFsoYkzoHj1DShefQMEQUBXuxV9vT2IVWsRrdKeV18aiEQiyGQKyGQKnPrx35CcgYIlq4cee91dsNaUorG6BA3VR1Bx6ONh7bz998144eXP4947NkxTz4nofCaRSLB25VIc2P0Blixfg5KDO4ftFwQBTTWlI+aX/SyxWAJ9YioMyRkwmjNhNGfBaM5Eojlr0hYGCwZ8EMJhODttcHbaJqVNkViM62+5G7ZmKw6cMvdrb083hFAYkE2s/d6ebrz4Pw8OBZBnE29Ixg03344Hv/lV5Odkjetc/kAQVTX1qLbUo7ahETWWGtTWWNDUYIG91TrqgranMpjSx3XOiTAkZ+CaLz14zseHw+GTV8d4nPB5nPB7nfC6OpFgSkeTpWRYfUv5IaxetQJNDfXQadUT7T7RrMbQl4iIiM5rpRU12HDTF1FTcXioTCyRYvUUz0VHkUkkEiEhKW2muzEhfT1BdDTXwdZQBWtd2aghTWVV9TT3jIjOdzKpFIf27sDW9z7CP954Cx9tfw/W+soxHx8Oh2BvbYC9tQFlBz8cti8uIRkZuQsQPoeFuE718VsvTej4z1JGq/C/zzyPL954NV57871hoe8lV94KedTER9ge+mTrqIGvNt6I1Iw5SM/MRnp6Bi5eVowbr7scEolkWL1wOAx7lwuNVhusLW2wtbbC1tqOjvZ22GwtaG2xoqOtGe7PXK0yHtr4RGTlLcZ1X37knNuYCEEQ4PM44LK3wuOyo9vvQbfPM7g99Rbwotvnhs/jRMDnGvfibj63A60dnQx96YLH0JeIiIjOW/s+LcWaVZciGPAOK7/933+GlKz8GeoVXeiqS/bg3b8+A7/Hicx5ixCfmAKpTA6pVHZ8K4dEKoNILEYw4B32gTbgc5+87x+cXzE1qwBZeYuRlbcYKVn5kEgHh5wJggBXVxvamixos9agzVoDW0MlmusrEA4NnLGPC5auwre/9bUp/1kQ0ewjkUhw/fq1uH794CJuFZZ6/PW1N3Hk8GE4nQ54XE54PW74vC74Pa4xzzV+YmRubGzsaS/HFwQBzs5W6PRJoy6uCgC9PYFze2KjCHb78PWv3Iqvf2V4eXSsBtfc/vCknKPD1jDqPrejA25HB44d2g2JVI7nZTJ85fjrhUwmh1QmQ19vLzzOznHP634mmngjUrMKkJpdiLQ5RUidUwBNnHHS2v8sQRAQ8Lnh7mqDq6sN7q52uLra4OxshevErasdA/29U9YHAFBp4/Hlr3xj3COoiSIRQ18iIiI6b216+W8jAl8AeOlXj2D7P/4PN9zzXeQvXjX9HaMLVqOlBE9999ahx7bGqgm36WhvxpHd7wIAZIoopGUXYaC/D23NNegNjj38kCuUuOLam/HQA9/A6kuWTLhfRHRhyJubif/63ukvvw+Hw/B4/Wjt6ERTkw3HKqtQWVWNuhoLmupr0dbSMOYQLzTQj+/f+TlERatgSpsDbXwilDFqKGPViI5RQxmjRnSsBoXFa5GUOhcHdryBxuqjEMaxsOZ43HjvY4hV6yalreWX34yje96D3VY/ah1BEDDQ3zupoadMrkC8MQWJKVkwmrORmJKFxJRsGM2ZUEarxt2e3+tCk6UETZYS+LxOCOEwBCEMISxAEMIIn3gsCBDCYYRCA/C67HB1tcPd1Yb+vqkNdE+QK5RQaeJgSklH9txc5OflY35RAZYsLESqOXFa+kA0GzD0JSIiovPWTTdch03P/xrBbt+IfbbGKvzm8bvw+Ts34vIN93HBKpoWfo9jStvv7+1BbfmBMdVVRquQW7gIS4qXYcWKi7H+shW8lJWIJpVYLIZOq4ZOq0Z+ThbWr1sxbH//wAAqLQ3Ys+8Qdu/ZiyOHDqCptuyMbfZ0+1BfefiMdYb1QSKFXBGFcCiEvt7giP0ikXjwKgu5HDKZAoIgIOj3nnHUbGHxWnzu8pvG3IezMZoz8fjvt6O1qRqWkr2wlO6FpWwfgv6RX1yPx+AiozrEqnXQxBmgjjNArdVDG58Igykd+sRUKGNUUChjzjh6ejTdfg8O7PgH6ioOoclSgs62pgn1d7wkUhliYjWIVWsQq9JCpdFCo9FCrdFAp4tDQoIeRoMBxgQ9Eo0GJJsMSEpMgEYVO639JJqtGPoSERHReWvNimLU1NZiyxvvYMeOj/Hp/p1otdYN7RcEAW/86Uns2bYFq6+7E8vWbkBUND8I0NTJnX8J1t/673jnL78+p+Mz5hZgbm4h4uLjoNXq0B0I4NOD+1BTcQR9vaOvbK6MUSM1MwdZ2XOxZMkSrF19KZYtLoJMyrfzRDRzZFIpivLmoChvDu6754sAAL1ej76+yZumIBwaQE+3f9T9ghCGIioapvS5MKXlHL/NhT4pHYIQHjZXbNDvhVSuQNGyy84pJD0TsVgMc8Y8mDPmYc319yAcCsHWWAW3ox2hgX4M9PdjYKAPQb8Xbkc73I52eJx2+Nxd8HtdCPjcCA30D2uz2+dGt8+NztbRp48ABuerj4pWISo6FsoT2xgVNHFGxBmSodMnIc5gQlxCMnQJSZDJo3DswHa8/Mx34ZnAHMFnIlcooTeakJCYDFNyCpKTzUhLTUFGRhqyM9KQnZkKnUbFL+2JphDfJRIREdF5LTnJgAe/fhce/PpdAIDaeit+98LLeOrJx4c+HNlt9Xj1ucfxz02/QGHxGsxbuALzFlwKbfzUzV1HFyapTI5r7/g2rr3j2/C6OmGtPYammmNoqilFY/VR+NxdZzy+wVKGjlYrHn70h/jRYw8NlQd7evHR7oPYvmMnSo4eQXR0DObNm4f5FxViyYJCZKSZ+MGYiGY1uVyOzVu24sjRY6iuqoTb7YLP64HP60HA50XA70G334twODTutv1eJyyl+2Ap3TesXJdgQnJ6LpIz5iE5PQcp2QUwJmcMzZ0+FYLdPnS2NsLR0QKn3XZya2+Bw94y4dG/pyMIAoIBL4IBL1xjqB+rjoPf6xx1v0obD1NKJqQSCURiMcRi8eBWdOp9EcRiCeLi42FKNiM1xYy0tBRkpaciOzMNCfFavm4RzTCRIAhT07BIlA9g6LqOsrIy5OfP7IIrxcXFqKoaOe9abm4uDhwY22V0RETjMdpIB7lcjq6uMwcDRHRmW//1Ee6+83Y47LZR65jScpC74BJk5S3CluceGzGCBhi8tPC/Xz4ylV2lC0QoNIAju97F+6//Ds1nubxZLJGitLyKC80QUcSZyPvfcDgMl8eHzi4n7J1O2No60NhkhdXajJaWZrS12mBvb0WXvfW0c/6PhVQqR2JqNjJyF2LVtXfClDb3nNoJh0KwtzXC1lAFW0MlbI2DW0dHyzm1N5Myc4qwdPmlWLa0GKtXLEd+TiYDW5pSF3o+V15ejoKCglOLCgRBKJ/s83CkLxEREc1K1165Cs1NdfjdC6/gud88i5qKkfMDtjZVo7WpGh++8cdRVxMnmiwSiRSLV16LRSuuQUPVYTRaStFmtaDNWoO2Jgu6/Z6huuHQAH7y5K/wygvPzmCPiYjOL2KxGPE6DeJ1GuTOyThjXYfLg5q6JlRW1+JoaRkqystQa6lAS2PtGRdLGxjoQ0t9BVrqK7Dznc2Yv/wKXHnLt5A2p3DUY/weJ1pOCXZtDVVos1omtHCZSCSCPjEFqRlzkJU9Bzk5OSjIm4ekxARIjo+ulYjFEEtObCWQHL/fPxCCy+WB0+2G2+2Fy+2Gx+M9fvPA6/PC43ajvc0Ge7sNTnvbaec4Vkar8P0nfobvPsy1EYgiEUNfIiIimrWUUQo8dP/deOj+u/Hu9l14+ZW/Ydcn29FUWzHmNkID/Xjl2e8jfW4RUrLykZCUznmBaUJEIhEy5y1C5rxFQ2WCIGDL75/AjjdfHCqzNjXOQO+IiCJDvE6D+MVFWLa4CPjSF4bK+/r6UVJWjf2HSlBSUory8mOot1Sio7XxtO0c3fMeju55D4VLL8OXvvXf0MQZ4O5qR9mnO1B2cAcaq4/A47SfUx9jNXEwJqUgKTkFZnMq0tPTkZmZjrycbFxUkIvYGOU5tTteoVAITS3tqK5tQF19ExobmxCljMJdt21AdmbqtPSBiKYfQ18iIiKKCFetvQRXrb0EAFDfZMNrb7yLbdveR8nh/ehss456nCAI2PnOZux852SZSquHPjEFCUlp0CelISEpDQmJqdAnpUGtS+CIYRq33e/9dVjgK5Mr8J2N/zGDPSIiikxyuQxLFhZgycICAF8aKne4PNh/sAQHDh/F/n378cE7rw8bEXxs/wf4qaUEal0CWurH/uUxAOiNZmTNzUdefgHmzy/C4gVFyMvJglajmqynNSESiQSZacnITEsGjr9XIqLIx9CXiIiIIk5mWjI2PnAvNj5wLwCgrqEFixcWIRQaGNPxPncXfO4uNFSNnOs3PWcB7tn4NBKS0ia1zxS5muvK8Mqz3xt6LJUp8OKft+CaK1bOYK+IiC4s8ToN1q9bgfXrVgAA6pt+jh/815N47ZU/orenGwDgdXXC6+octQ2FMgbp2XnImZePwsJCLF54EZYXL4RBr5uW50BENB4MfYmIiCjiZWWYIZGIETrNguBisQRpWXmwNlRBCIfP2lZj9RH8cuNNuO8//4DElGwooqI58pfOaMebfxr2u5U5twANTVY8v+lvSDIakJSYALMpEQa9jnMqEhFNk8y0ZGz+46/x5I8fw81fuht7drwzok72vPm4dNVlWLZ0CZYtWYD8nExIJJIZ6C0R0fgx9CUiIqILmkwmRWNtOTw+P0qOVaOiqgaWmlrU1dWhqakerc2NcHTYEA6fTIw9jg48+eB1AAZHbcaotYhV6RCj1iJGpUOsOu7kfU0cMnIWwGjOnKmnOC7Bbh/6erqh0ughPssH23A4jPbmWnS1WxH0exHs9iIY8KE74EVPwDd0PxjwIRjwDq20nppdgDkFyzCncClSswsgkcqm46nNmCO7/zXssaX8EP5z46ER9cRiCWI1ccjNn4+HHnoIN19/BUNgIqIplpxkwM4PtuIHP30Kf335JZhT0nHV1etx8w3XICPVNNPdIyI6Zwx9iYiIiABoVLFYsXwRVixfNGJfT28fKqvr8MAj38HObW8O99GuYgAACoVJREFU2zfQ3wuPowMeR8cZ28/OL8YlV92KBRevRyjUD69z8BJSr7sLXpcdXlfX0GWlg9NLOKCMUR2fUzj15NzCSWmIMyRDIjn727i+niC2bv4l9rz/N8Sq42BKz4EpPQfJ6TkwpeUgwZQOsViC9uYalO7fjtJ929BQdRiCICAqWoXc+RejYMlq5C9eDW28EQAQDoVQV/EpDu9+B0d2v3vW5306ZQcHF8cBBi+VzcpbjDkFS5E5byFS5xQhShkz7jbPV4IgQKGMRk+376x1w+EQvK5OHNi1Dbfu2obHci/CnXffi4y0VCQkxCPRmIAkYwL0cRqGwUREk0gsFuPHjz2MHz/28Ex3hYho0ogEQZiahkWifABlJx6XlZUhPz9/Ss41VsXFxaiqqhpRnpubiwMHDsxAj4go0un1evT19Y0ol8vl6OrqmoEeEV24JuPvsa+vHzfd8TVsfe2lMU0FcToikQgTff8lFksQZ0geDIFNaUhISkeCKR0GUxr0iamQyaNgKd2LzU8/is62plHbOTFKeSzBrTkzD6a0HFQd3XXG+Q4nSiyWwJSeg8x5C5GeswDxhmSotHqodQmIjtXMyqk0muvK8fFbL8HV1Qafx4GAxwWf14H+3p5zak8sliBGrYVKrYVKEwetNg4anQ5xujioNRrIpFJIJBKIxeLhW8nJx1KJ5GSZWAqJRITkpCRcf/VayOWRPfKaiKYW3/8S0dlc6PlceXk5CgoKTi0qEAShfLLPw5G+RERERGMkl8vwz1dfRG39E6i01KOjswt2eye6uhxwOBxwOh1wuZxwu5zwuJ3weVzwOO3D2piML9zD4RC62q3oarei8sjOYftEIhHEEilCA/1nbefEKOWxaKmvOONq5mKJFNGxasTEqBGjUiNWpYZKrYFKpYFao4ZWo4VGo4HP58PevbtQWXIQfb3B0z63E+f65O3Nw/ZJpDKoNPFQ6fRQa/WDYfDxrSbOgISkNOiT0hCj0p5X4XBKVj5uf+DJEeV9PUH4PA74PU74vU74PU60t9Ri17t/gd/rHLW9cDgEn9sBn9sBoG5S+7p2/QZ88PaWSW2TiIiIiKYfQ18iIiKiccrOTEV2ZuqY6tra7Hj6ty/gL5tfREuj5bR1YtU6aOMSEKc3QJ9gRILBAL0+AU6nA40N9bBZG9FuazxtSPpZgiCMCHxzCpegeNlyVFaUo6GmEg67bcRxUqkcRYsvxpXrr0bu3Gx8/MlufPTh+6irKjnteWJUWqy87GrctOFGXHPFasTp1OOaciDY04vtH+/Dv97fjt27PkF12WEEzzIFQmigH25HO9yO9jPWU8aqYUhKH5oSw2AavK+NN0IZo4YyRjWm6THGqicYgNfVCY/Tjm6fG1KZHAplDBRR0cO2coVy2M9IHqVEfJQZ8UbzsPauuuVb2LPtVXz81p/RYas/51Hl56L08P5pOxcRERERTR2GvkRERERTKDnJgJ//6Dv42RMb8d6Hu1FaXgmDXo8UswkppkSkpiRBGaU4azvhcBiNzW04VmFBlaUGtTV1qK+vQ3NTA9paGuD3ukYcI1co8dCjP8SP/vNhyKQn3/bZu1zYe/AojhwtRUuLDYsWLsDNX1iPeJ1mqM4dt3wewM/RYG3Fq69vxb/efRetNity84pwyy0bcOO16xClkJ/zz0UZpcA1V6zENVesBACEQiHsP3QMH368G3v37kXp0U9ha7Sc08jooN+LpppSNNWUjlpHERWNqBgVomPUQ0Gw8vj96Bg1lLFqKKNVUMaqIVcoEfC64HHZB+dddnaevO/qRG8wMOa+yRXKzwTCSiiiYqBQRg9tNXFG6BNTcceDP0e80QypTIFuvwcBrwt+rwvdfjf8Xje6fW4EfCfKPPA4OtBmrRm26OB4FS9fec7HEhEREdH5g3P64sKZM4SIph/nNCM6f0T632NHpxPHKiwoq6jG0bIqyGQKfPPe23BRwdyZ7to56+vrR7OtA1ZbG2y2Ntja29He1oEOewc67XZ0ddrhcnTC5Rxc/G6q3tfONJkiCnpjCuKNKdAnDm5DA/1wdrbC7WiHq7MVrq52+D2OCZ1HJBZj/8ESLFlYcPbKRESjiPTXWyKauAs9n+OcvkREREQ0ZsaEOBhXLsNlK5fNdFcmjVwuQ1aGGVkZ5rPW7e7uwbHKGlRU1QyOhK6tRVNjA2zWetjbmhEODUxDj6dGf28P2qw1aLPWTHrbYrEEap0eCcZk3Hf/Nxn4EhEREUUIhr5ERERENOtFR0dh6aJCLF1UOGJfX18/qmob0dZuh9PlgcPpgtvthsvthsvlhtfrgdfjgc/rhc/rht/nRcA/eOvp9kEQBEilcmjjDdDFG6A3GJFgMCLRmIgkUxKSTUlINZuQlmJCcpIBwZ4+uD1eeDw+eHx+eH1+eL0+eH0++Hx++Hx++AMB+AN+BPx+BAIBdPv9CHQH4Pd50dneAmdn24RGLovEYujijYhPSILeYITBmIikJBOSTUkwJ5uQak5GRroZZpNh2NQfRERERBQZ+A6PiIiIiCKaXC5DUd4cFOXNGfexoVAIPn831KqYMS9Up4qNgUGvG/e5ThXs6UWVpR4VVbWoqatHfUMDrI2NaGluhL29BVKpDAnGZBhNyTCZkmE2pyAtNQVZ6anIykhFRloy5HLZhPpARERERLMXQ18iIiIiolFIJBJoNappP68ySoEFRfOwoGjetJ+biIiIiGa/sQ1XICIiIiIiIiIiIqJZgaEvERERERERERERUQRh6EtEREREREREREQUQRj6EhEREREREREREUUQhr5EREREREREREREEYShLxEREREREREREVEEYehLREREREREREREFEEY+hIRERERERERERFFEIa+RERERERERERERBGEoS8RERERERERERFRBGHoS0RERERERERERBRBpDPdgfNBfX09iouLZ7obRBSB+vv7Ry3n/x2i6cW/RyIioqnH11siOpv6+vqZ7sIFYdpC3/Ly8uk61aiCwSBCodBpy8+H/hHRhYX/d4jOH/x7JCIimnp8vSWiM7lQ8rna2tppOY9IEISpaVgkygdQNiWNExEREREREREREc1+BYIgTHraPZVz+nYCeGIK2yciIiIiIiIiIiKiz5iy0FcQBLsgCD8Eg18iIiIiIiIiIiKiaTNl0zsMnUAkMgBImNKTEBEREREREREREc0+dYIg9Ex2o1Me+hIRERERERERERHR9JnKOX2JiIiIiIiIiIiIaJox9CUiIiIiIiIiIiKKIAx9iYiIiIiIiIiIiCIIQ18iIiIiIiIiIiKiCMLQl4iIiIiIiIiIiCiCMPQlIiIiIiIiIiIiiiAMfYmIiIiIiIiIiIgiCENfIiIiIiIiIiIiogjC0JeIiIiIiIiIiIgogjD0JSIiIiIiIiIiIoogDH2JiIiIiIiIiIiIIghDXyIiIiIiIiIiIqIIwtCXiIiIiIiIiIiIKIIw9CUiIiIiIiIiIiKKIAx9iYiIiIiIiIiIiCIIQ18iIiIiIiIiIiKiCMLQl4iIiIiIiIiIiCiCMPQlIiIiIiIiIiIiiiAMfYmIiIiIiIiIiIgiCENfIiIiIiIiIiIiogjy/zwTg6Za1GISAAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] }, "metadata": { "image/png": { "height": 366, "width": 702 }, "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import cartopy.crs as ccrs\n", "basins.plot(proj=ccrs.PlateCarree(central_longitude=200), label='abbrev')\n", "plt.tight_layout()" ] }, { "cell_type": "code", "execution_count": 792, "metadata": { "ExecuteTime": { "end_time": "2019-05-22T15:05:50.336733Z", "start_time": "2019-05-22T15:05:50.333744Z" } }, "outputs": [], "source": [ "from wytc import tc_tracks, tc_density" ] }, { "cell_type": "code", "execution_count": 912, "metadata": { "ExecuteTime": { "end_time": "2019-05-23T16:09:01.001247Z", "start_time": "2019-05-23T16:09:00.993242Z" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 912, "metadata": {}, "output_type": "execute_result" }, { "data": { "text/plain": [ "" ] }, "execution_count": 912, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import wytc\n", "reload(wytc.density)\n", "reload(wytc)\n", "tc_density = wytc.density.tc_density" ] }, { "cell_type": "code", "execution_count": 795, "metadata": { "ExecuteTime": { "end_time": "2019-05-22T15:07:14.472834Z", "start_time": "2019-05-22T15:07:06.927439Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "years:\n", "11; 12; 13; 14; 15; 16; 17; 18; 19; 20; 21; 22; 23; 24; 25; 26; 27; 28; 29; 30; 31; 32; 33; 34; 35; 36; 37; 38; 39; 40; " ] } ], "source": [ "ds = tc_tracks('CTL1860_noleap_tigercpu_intelmpi_18_576PE', years=range(11,41))" ] }, { "cell_type": "code", "execution_count": 918, "metadata": { "ExecuteTime": { "end_time": "2019-05-26T03:09:15.177480Z", "start_time": "2019-05-26T03:09:15.090053Z" } }, "outputs": [ { "data": { "text/plain": [ "\n", "Dimensions: (stage: 120, storm: 200, year: 30)\n", "Coordinates:\n", " * storm (storm) int64 1 2 3 4 5 6 7 8 9 ... 193 194 195 196 197 198 199 200\n", " * stage (stage) int64 0 6 12 18 24 30 36 42 ... 678 684 690 696 702 708 714\n", " * year (year) int64 11 12 13 14 15 16 17 18 19 ... 33 34 35 36 37 38 39 40\n", "Data variables:\n", " lat (year, storm, stage) float64 -12.51 -12.94 -13.37 ... nan nan nan\n", " lon (year, storm, stage) float64 62.11 61.74 61.13 ... nan nan nan\n", " vmax (year, storm, stage) float64 29.82 26.09 25.44 ... nan nan nan\n", " slp (year, storm, stage) float64 981.5 981.6 984.9 ... nan nan nan\n", " tm (year, storm, stage) float64 261.0 259.1 258.5 ... nan nan nan\n", " month (year, storm, stage) float64 1.0 1.0 1.0 1.0 ... nan nan nan nan\n", " day (year, storm, stage) float64 1.0 1.0 1.0 1.0 ... nan nan nan nan\n", " hour (year, storm, stage) float64 6.0 12.0 18.0 24.0 ... nan nan nan nan" ] }, "execution_count": 918, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds" ] }, { "cell_type": "code", "execution_count": 913, "metadata": { "ExecuteTime": { "end_time": "2019-05-23T16:09:05.766358Z", "start_time": "2019-05-23T16:09:02.837958Z" } }, "outputs": [], "source": [ "da = ds.pipe(tc_density)" ] }, { "cell_type": "code", "execution_count": 876, "metadata": { "ExecuteTime": { "end_time": "2019-05-22T16:49:09.250973Z", "start_time": "2019-05-22T16:49:09.241512Z" } }, "outputs": [ { "data": { "text/plain": [ "\n", "array([[[nan, nan, ..., nan, nan],\n", " [nan, nan, ..., nan, nan],\n", " ...,\n", " [nan, nan, ..., nan, nan],\n", " [nan, nan, ..., nan, nan]],\n", "\n", " [[nan, nan, ..., nan, nan],\n", " [nan, nan, ..., nan, nan],\n", " ...,\n", " [nan, nan, ..., nan, nan],\n", " [nan, nan, ..., nan, nan]],\n", "\n", " ...,\n", "\n", " [[nan, nan, ..., nan, nan],\n", " [nan, nan, ..., nan, nan],\n", " ...,\n", " [nan, nan, ..., nan, nan],\n", " [nan, nan, ..., nan, nan]],\n", "\n", " [[nan, nan, ..., nan, nan],\n", " [nan, nan, ..., nan, nan],\n", " ...,\n", " [nan, nan, ..., nan, nan],\n", " [nan, nan, ..., nan, nan]]])\n", "Coordinates:\n", " * time (time) object 0011-01-01 00:00:00 ... 0040-12-01 00:00:00\n", " * lat (lat) int64 -89 -88 -87 -86 -85 -84 -83 ... 83 84 85 86 87 88 89\n", " * lon (lon) int64 0 1 2 3 4 5 6 7 8 ... 352 353 354 355 356 357 358 359\n", "Attributes:\n", " units: TC days" ] }, "execution_count": 876, "metadata": {}, "output_type": "execute_result" } ], "source": [ "da" ] }, { "cell_type": "code", "execution_count": 843, "metadata": { "ExecuteTime": { "end_time": "2019-05-22T16:08:23.035059Z", "start_time": "2019-05-22T16:08:22.635684Z" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 843, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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\n", 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" ] }, "metadata": { "image/png": { "height": 444, "width": 650 }, "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "da.groupby('time.year').sum('time').mean('year').plot.contourf(levels=2**np.arange(-2,6.1),cmap='Oranges')\n", "mapplot()" ] }, { "cell_type": "code", "execution_count": 859, "metadata": { "ExecuteTime": { "end_time": "2019-05-22T16:21:02.347073Z", "start_time": "2019-05-22T16:21:01.578574Z" } }, "outputs": [ { "data": { "text/plain": [ "\n", "array([[nan, nan, nan, ..., 7., 7., 7.],\n", " [nan, nan, nan, ..., 7., 7., 7.],\n", " [nan, nan, nan, ..., 7., 7., 7.],\n", " ...,\n", " [nan, nan, nan, ..., 0., 0., 0.],\n", " [nan, nan, nan, ..., 0., 0., 0.],\n", " [nan, nan, nan, ..., 0., 0., 0.]])\n", "Coordinates:\n", " * lat (lat) int64 -89 -88 -87 -86 -85 -84 -83 ... 83 84 85 86 87 88 89\n", " * lon (lon) int64 0 1 2 3 4 5 6 7 8 ... 352 353 354 355 356 357 358 359" ] }, "execution_count": 859, "metadata": {}, "output_type": "execute_result" }, { "data": { "text/plain": [ "" ] }, "execution_count": 859, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": { "image/png": { "height": 444, "width": 637 }, "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "mask = basins.mask(da, lon_name='lon', lat_name='lat')\n", "mask\n", "mask.plot()\n", "mapplot()" ] }, { "cell_type": "code", "execution_count": 862, "metadata": { "ExecuteTime": { "end_time": "2019-05-22T16:21:58.476012Z", "start_time": "2019-05-22T16:21:58.033572Z" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 862, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "image/png": { "height": 444, "width": 683 }, "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "mask.where(mask==basins.map_keys('NA')).plot()" ] }, { "cell_type": "code", "execution_count": 881, "metadata": { "ExecuteTime": { "end_time": "2019-05-22T16:53:22.505895Z", "start_time": "2019-05-22T16:53:22.163361Z" } }, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 881, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": { "image/png": { "height": 439, "width": 632 }, "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "da.groupby('time.year').sum('time').where(mask==basins.map_keys('NA')).sel(lat=slice(0,40)).geo.fldmean().plot()" ] }, { "cell_type": "code", "execution_count": 895, "metadata": { "ExecuteTime": { "end_time": "2019-05-22T17:56:26.405349Z", "start_time": "2019-05-22T17:56:24.749479Z" } }, "outputs": [ { "data": { "text/plain": [ "\n", "array([[[0., 0., ..., 0., 0.],\n", " [0., 0., ..., 0., 0.],\n", " ...,\n", " [0., 0., ..., 0., 0.],\n", " [0., 0., ..., 0., 0.]],\n", "\n", " [[0., 0., ..., 0., 0.],\n", " [0., 0., ..., 0., 0.],\n", " ...,\n", " [0., 0., ..., 0., 0.],\n", " [0., 0., ..., 0., 0.]],\n", "\n", " ...,\n", "\n", " [[0., 0., ..., 0., 0.],\n", " [0., 0., ..., 0., 0.],\n", " ...,\n", " [0., 0., ..., 0., 0.],\n", " [0., 0., ..., 0., 0.]],\n", "\n", " [[0., 0., ..., 0., 0.],\n", " [0., 0., ..., 0., 0.],\n", " ...,\n", " [0., 0., ..., 0., 0.],\n", " [0., 0., ..., 0., 0.]]])\n", "Coordinates:\n", " * time (time) object 0011-01-01 00:00:00 ... 0040-12-01 00:00:00\n", " * lat (lat) float64 -89.5 -88.5 -87.5 -86.5 -85.5 ... 86.5 87.5 88.5 89.5\n", " * lon (lon) float64 0.5 1.5 2.5 3.5 4.5 ... 355.5 356.5 357.5 358.5 359.5\n", "Attributes:\n", " long_name: TC density\n", " units: TC genesis # within 1x1 box" ] }, "execution_count": 895, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dag = ds.pipe(tc_density, lowpass_on=False, genesis_on=True)\n", "dag" ] }, { "cell_type": "code", "execution_count": 896, "metadata": { "ExecuteTime": { "end_time": "2019-05-22T17:56:29.261293Z", "start_time": "2019-05-22T17:56:29.254717Z" } }, "outputs": [ { "data": { "text/plain": [ "\n", "array(1.)\n", "Coordinates:\n", " time object 0011-01-01 00:00:00" ] }, "execution_count": 896, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dag.isel(time=0).max()" ] }, { "cell_type": "code", "execution_count": 900, "metadata": { "ExecuteTime": { "end_time": "2019-05-22T17:57:41.670920Z", "start_time": "2019-05-22T17:57:41.049069Z" } }, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 900, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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" ] }, "metadata": { "image/png": { "height": 439, "width": 606 }, "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# count TC numbers\n", "dag.groupby('time.year').sum('time').where(basins.mask(dag)==basins.map_keys('NA')).sum(['lat', 'lon']).plot()" ] }, { "cell_type": "code", "execution_count": 902, "metadata": { "ExecuteTime": { "end_time": "2019-05-22T17:59:08.629069Z", "start_time": "2019-05-22T17:59:04.717416Z" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 902, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": { "image/png": { "height": 444, "width": 641 }, "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "dag.groupby('time.year').sum('time').mean('year').plot()\n", "mapplot()" ] }, { "cell_type": "code", "execution_count": 916, "metadata": { "ExecuteTime": { "end_time": "2019-05-23T16:09:42.211184Z", "start_time": "2019-05-23T16:09:42.201008Z" } }, "outputs": [ { "data": { "text/plain": [ "\n", "Dimensions: (storm: 200, year: 30)\n", "Coordinates:\n", " * storm (storm) int64 1 2 3 4 5 6 7 8 9 ... 193 194 195 196 197 198 199 200\n", " stage int64 0\n", " * year (year) int64 11 12 13 14 15 16 17 18 19 ... 33 34 35 36 37 38 39 40\n", "Data variables:\n", " lat (year, storm) float64 -12.51 2.11 3.21 -9.69 ... nan nan nan nan\n", " lon (year, storm) float64 62.11 85.0 126.3 118.5 ... nan nan nan nan\n", " vmax (year, storm) float64 29.82 15.34 13.23 12.71 ... nan nan nan nan\n", " slp (year, storm) float64 981.5 1.001e+03 1.003e+03 ... nan nan nan\n", " tm (year, storm) float64 261.0 -1.0 -1.0 -1.0 ... nan nan nan nan\n", " month (year, storm) float64 1.0 1.0 1.0 1.0 1.0 ... nan nan nan nan nan\n", " day (year, storm) float64 1.0 6.0 9.0 13.0 14.0 ... nan nan nan nan nan\n", " hour (year, storm) float64 6.0 12.0 24.0 6.0 6.0 ... nan nan nan nan nan" ] }, "execution_count": 916, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds0 = ds.isel(stage=0)\n", "ds0" ] }, { "cell_type": "code", "execution_count": 917, "metadata": { "ExecuteTime": { "end_time": "2019-05-23T16:09:45.237841Z", "start_time": "2019-05-23T16:09:44.816882Z" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 917, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": { "image/png": { "height": 416, "width": 636 }, "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.scatter(ds0.lon.values.ravel(), ds0.lat.values.ravel(), s=1, alpha=0.5)\n", "mapplot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2019-05-17 GPI, TC" ] }, { "cell_type": "code", "execution_count": 750, "metadata": { "ExecuteTime": { "end_time": "2019-05-18T03:52:42.205211Z", "start_time": "2019-05-18T03:52:42.200561Z" } }, "outputs": [], "source": [ "import wytc\n", "reload(wytc.density)\n", "reload(wytc)\n", "tc_density = wytc.density.tc_density" ] }, { "cell_type": "code", "execution_count": 732, "metadata": { "ExecuteTime": { "end_time": "2019-05-18T03:20:33.122795Z", "start_time": "2019-05-18T03:20:33.120292Z" } }, "outputs": [], "source": [ "from wytc import tc_read, tc_tracks, tc_density" ] }, { "cell_type": "code", "execution_count": 734, "metadata": { "ExecuteTime": { "end_time": "2019-05-18T03:21:30.355818Z", "start_time": "2019-05-18T03:21:22.031954Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "years:\n", "11; 12; 13; 14; 15; 16; 17; 18; 19; 20; 21; 22; 23; 24; 25; 26; 27; 28; 29; 30; 31; 32; 33; 34; 35; 36; 37; 38; 39; 40; " ] } ], "source": [ "ds = tc_tracks('CTL1860_noleap_tigercpu_intelmpi_18_576PE', range(11,11+30))" ] }, { "cell_type": "code", "execution_count": 745, "metadata": { "ExecuteTime": { "end_time": "2019-05-18T03:47:09.889446Z", "start_time": "2019-05-18T03:46:37.128146Z" } }, "outputs": [ { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "window.mpl = {};\n", "\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('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", "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 = $('
');\n", " this._root_extra_style(this.root)\n", " this.root.attr('style', 'display: inline-block');\n", "\n", " $(parent_element).append(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 (mpl.ratio != 1) {\n", " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n", " '
');\n", " var titletext = $(\n", " '
');\n", " titlebar.append(titletext)\n", " this.root.append(titlebar);\n", " this.header = titletext[0];\n", "}\n", "\n", "\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "\n", "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "mpl.figure.prototype._init_canvas = function() {\n", " var fig = this;\n", "\n", " var canvas_div = $('
');\n", "\n", " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", "\n", " function canvas_keyboard_event(event) {\n", " return fig.key_event(event, event['data']);\n", " }\n", "\n", " canvas_div.keydown('key_press', canvas_keyboard_event);\n", " canvas_div.keyup('key_release', canvas_keyboard_event);\n", " this.canvas_div = canvas_div\n", " this._canvas_extra_style(canvas_div)\n", " this.root.append(canvas_div);\n", "\n", " var canvas = $('');\n", " canvas.addClass('mpl-canvas');\n", " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", "\n", " this.canvas = canvas[0];\n", " this.context = canvas[0].getContext(\"2d\");\n", "\n", " var backingStore = this.context.backingStorePixelRatio ||\n", "\tthis.context.webkitBackingStorePixelRatio ||\n", "\tthis.context.mozBackingStorePixelRatio ||\n", "\tthis.context.msBackingStorePixelRatio ||\n", "\tthis.context.oBackingStorePixelRatio ||\n", "\tthis.context.backingStorePixelRatio || 1;\n", "\n", " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband = $('');\n", " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", "\n", " var pass_mouse_events = true;\n", "\n", " canvas_div.resizable({\n", " start: function(event, ui) {\n", " pass_mouse_events = false;\n", " },\n", " resize: function(event, ui) {\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " stop: function(event, ui) {\n", " pass_mouse_events = true;\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " });\n", "\n", " function mouse_event_fn(event) {\n", " if (pass_mouse_events)\n", " return fig.mouse_event(event, event['data']);\n", " }\n", "\n", " rubberband.mousedown('button_press', mouse_event_fn);\n", " rubberband.mouseup('button_release', mouse_event_fn);\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband.mousemove('motion_notify', mouse_event_fn);\n", "\n", " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", "\n", " canvas_div.on(\"wheel\", function (event) {\n", " event = event.originalEvent;\n", " event['data'] = 'scroll'\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " mouse_event_fn(event);\n", " });\n", "\n", " canvas_div.append(canvas);\n", " canvas_div.append(rubberband);\n", "\n", " this.rubberband = rubberband;\n", " this.rubberband_canvas = rubberband[0];\n", " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", " this.rubberband_context.strokeStyle = \"#000000\";\n", "\n", " this._resize_canvas = function(width, height) {\n", " // Keep the size of the canvas, canvas container, and rubber band\n", " // canvas in synch.\n", " canvas_div.css('width', width)\n", " canvas_div.css('height', height)\n", "\n", " canvas.attr('width', width * mpl.ratio);\n", " canvas.attr('height', height * mpl.ratio);\n", " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", "\n", " rubberband.attr('width', width);\n", " rubberband.attr('height', height);\n", " }\n", "\n", " // Set the figure to an initial 600x600px, this will subsequently be updated\n", " // upon first draw.\n", " this._resize_canvas(600, 600);\n", "\n", " // Disable right mouse context menu.\n", " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('
')\n", " nav_element.attr('style', 'width: 100%');\n", " this.root.append(nav_element);\n", "\n", " // Define a callback function for later on.\n", " function toolbar_event(event) {\n", " return fig.toolbar_button_onclick(event['data']);\n", " }\n", " function toolbar_mouse_event(event) {\n", " return fig.toolbar_button_onmouseover(event['data']);\n", " }\n", "\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", " // put a spacer in here.\n", " continue;\n", " }\n", " var button = $('');\n", " button.click(method_name, toolbar_event);\n", " button.mouseover(tooltip, toolbar_mouse_event);\n", " nav_element.append(button);\n", " }\n", "\n", " // Add the status bar.\n", " var status_bar = $('');\n", " nav_element.append(status_bar);\n", " this.message = status_bar[0];\n", "\n", " // Add the close button to the window.\n", " var buttongrp = $('
');\n", " var button = $('');\n", " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", " buttongrp.append(button);\n", " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", " titlebar.prepend(buttongrp);\n", "}\n", "\n", "mpl.figure.prototype._root_extra_style = function(el){\n", " var fig = this\n", " el.on(\"remove\", function(){\n", "\tfig.close_ws(fig, {});\n", " });\n", "}\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(el){\n", " // this is important to make the div 'focusable\n", " el.attr('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", " }\n", " else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "\n", "}\n", "\n", "mpl.figure.prototype._key_event_extra = function(event, name) {\n", " var manager = IPython.notebook.keyboard_manager;\n", " if (!manager)\n", " manager = IPython.keyboard_manager;\n", "\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which == 13) {\n", " this.canvas_div.blur();\n", " event.shiftKey = false;\n", " // Send a \"J\" for go to next cell\n", " event.which = 74;\n", " event.keyCode = 74;\n", " manager.command_mode();\n", " manager.handle_keydown(event);\n", " }\n", "}\n", "\n", "mpl.figure.prototype.handle_save = function(fig, msg) {\n", " fig.ondownload(fig, null);\n", "}\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= 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('matplotlib', mpl.mpl_figure_comm);\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "da.sum('mon').mean('year').plot(cmap='Oranges', levels=2**np.arange(-2, 6.1))\n", "mapplot()" ] }, { "cell_type": "code", "execution_count": 631, "metadata": { "ExecuteTime": { "end_time": "2019-05-17T19:59:57.192003Z", "start_time": "2019-05-17T19:59:57.180815Z" } }, "outputs": [], "source": [ "ifile = '/tigress/wenchang/analysis/volcanic_impact/data/CTL1860_noleap_tigercpu_intelmpi_18_576PE.GPI.GPI.nc'\n", "ds = xr.open_dataset(ifile)" ] }, { "cell_type": "code", "execution_count": 662, "metadata": { "ExecuteTime": { "end_time": "2019-05-17T20:15:06.899690Z", "start_time": "2019-05-17T20:15:05.601491Z" } }, "outputs": [ { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "window.mpl = {};\n", "\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('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", "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 = $('
');\n", " this._root_extra_style(this.root)\n", " this.root.attr('style', 'display: inline-block');\n", "\n", " $(parent_element).append(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 (mpl.ratio != 1) {\n", " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n", " '
');\n", " var titletext = $(\n", " '
');\n", " titlebar.append(titletext)\n", " this.root.append(titlebar);\n", " this.header = titletext[0];\n", "}\n", "\n", "\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "\n", "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "mpl.figure.prototype._init_canvas = function() {\n", " var fig = this;\n", "\n", " var canvas_div = $('
');\n", "\n", " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", "\n", " function canvas_keyboard_event(event) {\n", " return fig.key_event(event, event['data']);\n", " }\n", "\n", " canvas_div.keydown('key_press', canvas_keyboard_event);\n", " canvas_div.keyup('key_release', canvas_keyboard_event);\n", " this.canvas_div = canvas_div\n", " this._canvas_extra_style(canvas_div)\n", " this.root.append(canvas_div);\n", "\n", " var canvas = $('');\n", " canvas.addClass('mpl-canvas');\n", " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", "\n", " this.canvas = canvas[0];\n", " this.context = canvas[0].getContext(\"2d\");\n", "\n", " var backingStore = this.context.backingStorePixelRatio ||\n", "\tthis.context.webkitBackingStorePixelRatio ||\n", "\tthis.context.mozBackingStorePixelRatio ||\n", "\tthis.context.msBackingStorePixelRatio ||\n", "\tthis.context.oBackingStorePixelRatio ||\n", "\tthis.context.backingStorePixelRatio || 1;\n", "\n", " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband = $('');\n", " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", "\n", " var pass_mouse_events = true;\n", "\n", " canvas_div.resizable({\n", " start: function(event, ui) {\n", " pass_mouse_events = false;\n", " },\n", " resize: function(event, ui) {\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " stop: function(event, ui) {\n", " pass_mouse_events = true;\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " });\n", "\n", " function mouse_event_fn(event) {\n", " if (pass_mouse_events)\n", " return fig.mouse_event(event, event['data']);\n", " }\n", "\n", " rubberband.mousedown('button_press', mouse_event_fn);\n", " rubberband.mouseup('button_release', mouse_event_fn);\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband.mousemove('motion_notify', mouse_event_fn);\n", "\n", " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", "\n", " canvas_div.on(\"wheel\", function (event) {\n", " event = event.originalEvent;\n", " event['data'] = 'scroll'\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " mouse_event_fn(event);\n", " });\n", "\n", " canvas_div.append(canvas);\n", " canvas_div.append(rubberband);\n", "\n", " this.rubberband = rubberband;\n", " this.rubberband_canvas = rubberband[0];\n", " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", " this.rubberband_context.strokeStyle = \"#000000\";\n", "\n", " this._resize_canvas = function(width, height) {\n", " // Keep the size of the canvas, canvas container, and rubber band\n", " // canvas in synch.\n", " canvas_div.css('width', width)\n", " canvas_div.css('height', height)\n", "\n", " canvas.attr('width', width * mpl.ratio);\n", " canvas.attr('height', height * mpl.ratio);\n", " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", "\n", " rubberband.attr('width', width);\n", " rubberband.attr('height', height);\n", " }\n", "\n", " // Set the figure to an initial 600x600px, this will subsequently be updated\n", " // upon first draw.\n", " this._resize_canvas(600, 600);\n", "\n", " // Disable right mouse context menu.\n", " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('
')\n", " nav_element.attr('style', 'width: 100%');\n", " this.root.append(nav_element);\n", "\n", " // Define a callback function for later on.\n", " function toolbar_event(event) {\n", " return fig.toolbar_button_onclick(event['data']);\n", " }\n", " function toolbar_mouse_event(event) {\n", " return fig.toolbar_button_onmouseover(event['data']);\n", " }\n", "\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", " // put a spacer in here.\n", " continue;\n", " }\n", " var button = $('');\n", " button.click(method_name, toolbar_event);\n", " button.mouseover(tooltip, toolbar_mouse_event);\n", " nav_element.append(button);\n", " }\n", "\n", " // Add the status bar.\n", " var status_bar = $('');\n", " nav_element.append(status_bar);\n", " this.message = status_bar[0];\n", "\n", " // Add the close button to the window.\n", " var buttongrp = $('
');\n", " var button = $('');\n", " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", " buttongrp.append(button);\n", " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", " titlebar.prepend(buttongrp);\n", "}\n", "\n", "mpl.figure.prototype._root_extra_style = function(el){\n", " var fig = this\n", " el.on(\"remove\", function(){\n", "\tfig.close_ws(fig, {});\n", " });\n", "}\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(el){\n", " // this is important to make the div 'focusable\n", " el.attr('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", " }\n", " else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "\n", "}\n", "\n", "mpl.figure.prototype._key_event_extra = function(event, name) {\n", " var manager = IPython.notebook.keyboard_manager;\n", " if (!manager)\n", " manager = IPython.keyboard_manager;\n", "\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which == 13) {\n", " this.canvas_div.blur();\n", " event.shiftKey = false;\n", " // Send a \"J\" for go to next cell\n", " event.which = 74;\n", " event.keyCode = 74;\n", " manager.command_mode();\n", " manager.handle_keydown(event);\n", " }\n", "}\n", "\n", "mpl.figure.prototype.handle_save = function(fig, msg) {\n", " fig.ondownload(fig, null);\n", "}\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= 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('matplotlib', mpl.mpl_figure_comm);\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 619, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds.GPI.isel(time=1).plot(cmap='magma', levels=2**np.arange(-1.0, 7))" ] }, { "cell_type": "code", "execution_count": 603, "metadata": { "ExecuteTime": { "end_time": "2019-05-17T15:20:19.551929Z", "start_time": "2019-05-17T15:20:19.449384Z" } }, "outputs": [ { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "window.mpl = {};\n", "\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('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", "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 = $('
');\n", " this._root_extra_style(this.root)\n", " this.root.attr('style', 'display: inline-block');\n", "\n", " $(parent_element).append(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 (mpl.ratio != 1) {\n", " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n", " '
');\n", " var titletext = $(\n", " '
');\n", " titlebar.append(titletext)\n", " this.root.append(titlebar);\n", " this.header = titletext[0];\n", "}\n", "\n", "\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "\n", "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "mpl.figure.prototype._init_canvas = function() {\n", " var fig = this;\n", "\n", " var canvas_div = $('
');\n", "\n", " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", "\n", " function canvas_keyboard_event(event) {\n", " return fig.key_event(event, event['data']);\n", " }\n", "\n", " canvas_div.keydown('key_press', canvas_keyboard_event);\n", " canvas_div.keyup('key_release', canvas_keyboard_event);\n", " this.canvas_div = canvas_div\n", " this._canvas_extra_style(canvas_div)\n", " this.root.append(canvas_div);\n", "\n", " var canvas = $('');\n", " canvas.addClass('mpl-canvas');\n", " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", "\n", " this.canvas = canvas[0];\n", " this.context = canvas[0].getContext(\"2d\");\n", "\n", " var backingStore = this.context.backingStorePixelRatio ||\n", "\tthis.context.webkitBackingStorePixelRatio ||\n", "\tthis.context.mozBackingStorePixelRatio ||\n", "\tthis.context.msBackingStorePixelRatio ||\n", "\tthis.context.oBackingStorePixelRatio ||\n", "\tthis.context.backingStorePixelRatio || 1;\n", "\n", " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband = $('');\n", " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", "\n", " var pass_mouse_events = true;\n", "\n", " canvas_div.resizable({\n", " start: function(event, ui) {\n", " pass_mouse_events = false;\n", " },\n", " resize: function(event, ui) {\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " stop: function(event, ui) {\n", " pass_mouse_events = true;\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " });\n", "\n", " function mouse_event_fn(event) {\n", " if (pass_mouse_events)\n", " return fig.mouse_event(event, event['data']);\n", " }\n", "\n", " rubberband.mousedown('button_press', mouse_event_fn);\n", " rubberband.mouseup('button_release', mouse_event_fn);\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband.mousemove('motion_notify', mouse_event_fn);\n", "\n", " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", "\n", " canvas_div.on(\"wheel\", function (event) {\n", " event = event.originalEvent;\n", " event['data'] = 'scroll'\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " mouse_event_fn(event);\n", " });\n", "\n", " canvas_div.append(canvas);\n", " canvas_div.append(rubberband);\n", "\n", " this.rubberband = rubberband;\n", " this.rubberband_canvas = rubberband[0];\n", " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", " this.rubberband_context.strokeStyle = \"#000000\";\n", "\n", " this._resize_canvas = function(width, height) {\n", " // Keep the size of the canvas, canvas container, and rubber band\n", " // canvas in synch.\n", " canvas_div.css('width', width)\n", " canvas_div.css('height', height)\n", "\n", " canvas.attr('width', width * mpl.ratio);\n", " canvas.attr('height', height * mpl.ratio);\n", " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", "\n", " rubberband.attr('width', width);\n", " rubberband.attr('height', height);\n", " }\n", "\n", " // Set the figure to an initial 600x600px, this will subsequently be updated\n", " // upon first draw.\n", " this._resize_canvas(600, 600);\n", "\n", " // Disable right mouse context menu.\n", " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('
')\n", " nav_element.attr('style', 'width: 100%');\n", " this.root.append(nav_element);\n", "\n", " // Define a callback function for later on.\n", " function toolbar_event(event) {\n", " return fig.toolbar_button_onclick(event['data']);\n", " }\n", " function toolbar_mouse_event(event) {\n", " return fig.toolbar_button_onmouseover(event['data']);\n", " }\n", "\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", " // put a spacer in here.\n", " continue;\n", " }\n", " var button = $('');\n", " button.click(method_name, toolbar_event);\n", " button.mouseover(tooltip, toolbar_mouse_event);\n", " nav_element.append(button);\n", " }\n", "\n", " // Add the status bar.\n", " var status_bar = $('');\n", " nav_element.append(status_bar);\n", " this.message = status_bar[0];\n", "\n", " // Add the close button to the window.\n", " var buttongrp = $('
');\n", " var button = $('');\n", " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", " buttongrp.append(button);\n", " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", " titlebar.prepend(buttongrp);\n", "}\n", "\n", "mpl.figure.prototype._root_extra_style = function(el){\n", " var fig = this\n", " el.on(\"remove\", function(){\n", "\tfig.close_ws(fig, {});\n", " });\n", "}\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(el){\n", " // this is important to make the div 'focusable\n", " el.attr('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", " }\n", " else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "\n", "}\n", "\n", "mpl.figure.prototype._key_event_extra = function(event, name) {\n", " var manager = IPython.notebook.keyboard_manager;\n", " if (!manager)\n", " manager = IPython.keyboard_manager;\n", "\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which == 13) {\n", " this.canvas_div.blur();\n", " event.shiftKey = false;\n", " // Send a \"J\" for go to next cell\n", " event.which = 74;\n", " event.keyCode = 74;\n", " manager.command_mode();\n", " manager.handle_keydown(event);\n", " }\n", "}\n", "\n", "mpl.figure.prototype.handle_save = function(fig, msg) {\n", " fig.ondownload(fig, null);\n", "}\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= 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('matplotlib', mpl.mpl_figure_comm);\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 604, "metadata": {}, "output_type": "execute_result" } ], "source": [ "GPI.isel(time=1).plot(cmap='magma', levels=2**np.arange(-1.0, 7))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2019-05-16 GPI" ] }, { "cell_type": "code", "execution_count": 465, "metadata": { "ExecuteTime": { "end_time": "2019-05-17T02:01:45.226138Z", "start_time": "2019-05-17T02:01:45.223256Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/tigress/wenchang/analysis/GPI\n" ] } ], "source": [ "cd /home/wenchang/tigress/analysis/GPI/" ] }, { "cell_type": "code", "execution_count": 466, "metadata": { "ExecuteTime": { "end_time": "2019-05-17T02:01:49.026111Z", "start_time": "2019-05-17T02:01:48.760937Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[0m\u001b[38;5;27mdata\u001b[0m/ \u001b[38;5;51mjaneb\u001b[0m@ mpi_month_coupled.py pcmin.f90 \u001b[38;5;34mpcmin.so\u001b[0m*\r\n" ] } ], "source": [ "ls" ] }, { "cell_type": "code", "execution_count": 488, "metadata": { "ExecuteTime": { "end_time": "2019-05-17T02:27:45.938084Z", "start_time": "2019-05-17T02:27:45.928951Z" } }, "outputs": [], "source": [ "from pcmin import pcmin3_kflag\n", "pcmin3_kflag?" ] }, { "cell_type": "code", "execution_count": 471, "metadata": { "ExecuteTime": { "end_time": "2019-05-17T02:09:15.873423Z", "start_time": "2019-05-17T02:09:15.685535Z" } }, "outputs": [], "source": [ "ifile = '/tigress/wenchang/MODEL_OUT/CTL1860_noleap_tigercpu_intelmpi_18_576PE/POSTP/10000101.atmos_month.nc'\n", "ds = xr.open_dataset(ifile)" ] }, { "cell_type": "code", "execution_count": 546, "metadata": { "ExecuteTime": { "end_time": "2019-05-17T13:59:16.627553Z", "start_time": "2019-05-17T13:59:15.997999Z" } }, "outputs": [ { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "window.mpl = {};\n", "\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('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", "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 = $('
');\n", " this._root_extra_style(this.root)\n", " this.root.attr('style', 'display: inline-block');\n", "\n", " $(parent_element).append(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 (mpl.ratio != 1) {\n", " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n", " '
');\n", " var titletext = $(\n", " '
');\n", " titlebar.append(titletext)\n", " this.root.append(titlebar);\n", " this.header = titletext[0];\n", "}\n", "\n", "\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "\n", "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "mpl.figure.prototype._init_canvas = function() {\n", " var fig = this;\n", "\n", " var canvas_div = $('
');\n", "\n", " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", "\n", " function canvas_keyboard_event(event) {\n", " return fig.key_event(event, event['data']);\n", " }\n", "\n", " canvas_div.keydown('key_press', canvas_keyboard_event);\n", " canvas_div.keyup('key_release', canvas_keyboard_event);\n", " this.canvas_div = canvas_div\n", " this._canvas_extra_style(canvas_div)\n", " this.root.append(canvas_div);\n", "\n", " var canvas = $('');\n", " canvas.addClass('mpl-canvas');\n", " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", "\n", " this.canvas = canvas[0];\n", " this.context = canvas[0].getContext(\"2d\");\n", "\n", " var backingStore = this.context.backingStorePixelRatio ||\n", "\tthis.context.webkitBackingStorePixelRatio ||\n", "\tthis.context.mozBackingStorePixelRatio ||\n", "\tthis.context.msBackingStorePixelRatio ||\n", "\tthis.context.oBackingStorePixelRatio ||\n", "\tthis.context.backingStorePixelRatio || 1;\n", "\n", " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband = $('');\n", " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", "\n", " var pass_mouse_events = true;\n", "\n", " canvas_div.resizable({\n", " start: function(event, ui) {\n", " pass_mouse_events = false;\n", " },\n", " resize: function(event, ui) {\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " stop: function(event, ui) {\n", " pass_mouse_events = true;\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " });\n", "\n", " function mouse_event_fn(event) {\n", " if (pass_mouse_events)\n", " return fig.mouse_event(event, event['data']);\n", " }\n", "\n", " rubberband.mousedown('button_press', mouse_event_fn);\n", " rubberband.mouseup('button_release', mouse_event_fn);\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband.mousemove('motion_notify', mouse_event_fn);\n", "\n", " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", "\n", " canvas_div.on(\"wheel\", function (event) {\n", " event = event.originalEvent;\n", " event['data'] = 'scroll'\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " mouse_event_fn(event);\n", " });\n", "\n", " canvas_div.append(canvas);\n", " canvas_div.append(rubberband);\n", "\n", " this.rubberband = rubberband;\n", " this.rubberband_canvas = rubberband[0];\n", " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", " this.rubberband_context.strokeStyle = \"#000000\";\n", "\n", " this._resize_canvas = function(width, height) {\n", " // Keep the size of the canvas, canvas container, and rubber band\n", " // canvas in synch.\n", " canvas_div.css('width', width)\n", " canvas_div.css('height', height)\n", "\n", " canvas.attr('width', width * mpl.ratio);\n", " canvas.attr('height', height * mpl.ratio);\n", " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", "\n", " rubberband.attr('width', width);\n", " rubberband.attr('height', height);\n", " }\n", "\n", " // Set the figure to an initial 600x600px, this will subsequently be updated\n", " // upon first draw.\n", " this._resize_canvas(600, 600);\n", "\n", " // Disable right mouse context menu.\n", " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('
')\n", " nav_element.attr('style', 'width: 100%');\n", " this.root.append(nav_element);\n", "\n", " // Define a callback function for later on.\n", " function toolbar_event(event) {\n", " return fig.toolbar_button_onclick(event['data']);\n", " }\n", " function toolbar_mouse_event(event) {\n", " return fig.toolbar_button_onmouseover(event['data']);\n", " }\n", "\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", " // put a spacer in here.\n", " continue;\n", " }\n", " var button = $('');\n", " button.click(method_name, toolbar_event);\n", " button.mouseover(tooltip, toolbar_mouse_event);\n", " nav_element.append(button);\n", " }\n", "\n", " // Add the status bar.\n", " var status_bar = $('');\n", " nav_element.append(status_bar);\n", " this.message = status_bar[0];\n", "\n", " // Add the close button to the window.\n", " var buttongrp = $('
');\n", " var button = $('');\n", " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", " buttongrp.append(button);\n", " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", " titlebar.prepend(buttongrp);\n", "}\n", "\n", "mpl.figure.prototype._root_extra_style = function(el){\n", " var fig = this\n", " el.on(\"remove\", function(){\n", "\tfig.close_ws(fig, {});\n", " });\n", "}\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(el){\n", " // this is important to make the div 'focusable\n", " el.attr('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", " }\n", " else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "\n", "}\n", "\n", "mpl.figure.prototype._key_event_extra = function(event, name) {\n", " var manager = IPython.notebook.keyboard_manager;\n", " if (!manager)\n", " manager = IPython.keyboard_manager;\n", "\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which == 13) {\n", " this.canvas_div.blur();\n", " event.shiftKey = false;\n", " // Send a \"J\" for go to next cell\n", " event.which = 74;\n", " event.keyCode = 74;\n", " manager.command_mode();\n", " manager.handle_keydown(event);\n", " }\n", "}\n", "\n", "mpl.figure.prototype.handle_save = function(fig, msg) {\n", " fig.ondownload(fig, null);\n", "}\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= 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('matplotlib', mpl.mpl_figure_comm);\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 522, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# H\n", "H = ds.rh.interp(pfull=600).rename(new_names)\n", "H.isel(time=0).plot()" ] }, { "cell_type": "code", "execution_count": 476, "metadata": { "ExecuteTime": { "end_time": "2019-05-17T02:16:00.023886Z", "start_time": "2019-05-17T02:15:59.947843Z" } }, "outputs": [ { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "window.mpl = {};\n", "\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('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", "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 = $('
');\n", " this._root_extra_style(this.root)\n", " this.root.attr('style', 'display: inline-block');\n", "\n", " $(parent_element).append(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 (mpl.ratio != 1) {\n", " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n", " '
');\n", " var titletext = $(\n", " '
');\n", " titlebar.append(titletext)\n", " this.root.append(titlebar);\n", " this.header = titletext[0];\n", "}\n", "\n", "\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "\n", "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "mpl.figure.prototype._init_canvas = function() {\n", " var fig = this;\n", "\n", " var canvas_div = $('
');\n", "\n", " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", "\n", " function canvas_keyboard_event(event) {\n", " return fig.key_event(event, event['data']);\n", " }\n", "\n", " canvas_div.keydown('key_press', canvas_keyboard_event);\n", " canvas_div.keyup('key_release', canvas_keyboard_event);\n", " this.canvas_div = canvas_div\n", " this._canvas_extra_style(canvas_div)\n", " this.root.append(canvas_div);\n", "\n", " var canvas = $('');\n", " canvas.addClass('mpl-canvas');\n", " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", "\n", " this.canvas = canvas[0];\n", " this.context = canvas[0].getContext(\"2d\");\n", "\n", " var backingStore = this.context.backingStorePixelRatio ||\n", "\tthis.context.webkitBackingStorePixelRatio ||\n", "\tthis.context.mozBackingStorePixelRatio ||\n", "\tthis.context.msBackingStorePixelRatio ||\n", "\tthis.context.oBackingStorePixelRatio ||\n", "\tthis.context.backingStorePixelRatio || 1;\n", "\n", " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband = $('');\n", " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", "\n", " var pass_mouse_events = true;\n", "\n", " canvas_div.resizable({\n", " start: function(event, ui) {\n", " pass_mouse_events = false;\n", " },\n", " resize: function(event, ui) {\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " stop: function(event, ui) {\n", " pass_mouse_events = true;\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " });\n", "\n", " function mouse_event_fn(event) {\n", " if (pass_mouse_events)\n", " return fig.mouse_event(event, event['data']);\n", " }\n", "\n", " rubberband.mousedown('button_press', mouse_event_fn);\n", " rubberband.mouseup('button_release', mouse_event_fn);\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband.mousemove('motion_notify', mouse_event_fn);\n", "\n", " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", "\n", " canvas_div.on(\"wheel\", function (event) {\n", " event = event.originalEvent;\n", " event['data'] = 'scroll'\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " mouse_event_fn(event);\n", " });\n", "\n", " canvas_div.append(canvas);\n", " canvas_div.append(rubberband);\n", "\n", " this.rubberband = rubberband;\n", " this.rubberband_canvas = rubberband[0];\n", " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", " this.rubberband_context.strokeStyle = \"#000000\";\n", "\n", " this._resize_canvas = function(width, height) {\n", " // Keep the size of the canvas, canvas container, and rubber band\n", " // canvas in synch.\n", " canvas_div.css('width', width)\n", " canvas_div.css('height', height)\n", "\n", " canvas.attr('width', width * mpl.ratio);\n", " canvas.attr('height', height * mpl.ratio);\n", " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", "\n", " rubberband.attr('width', width);\n", " rubberband.attr('height', height);\n", " }\n", "\n", " // Set the figure to an initial 600x600px, this will subsequently be updated\n", " // upon first draw.\n", " this._resize_canvas(600, 600);\n", "\n", " // Disable right mouse context menu.\n", " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('
')\n", " nav_element.attr('style', 'width: 100%');\n", " this.root.append(nav_element);\n", "\n", " // Define a callback function for later on.\n", " function toolbar_event(event) {\n", " return fig.toolbar_button_onclick(event['data']);\n", " }\n", " function toolbar_mouse_event(event) {\n", " return fig.toolbar_button_onmouseover(event['data']);\n", " }\n", "\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", " // put a spacer in here.\n", " continue;\n", " }\n", " var button = $('');\n", " button.click(method_name, toolbar_event);\n", " button.mouseover(tooltip, toolbar_mouse_event);\n", " nav_element.append(button);\n", " }\n", "\n", " // Add the status bar.\n", " var status_bar = $('');\n", " nav_element.append(status_bar);\n", " this.message = status_bar[0];\n", "\n", " // Add the close button to the window.\n", " var buttongrp = $('
');\n", " var button = $('');\n", " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", " buttongrp.append(button);\n", " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", " titlebar.prepend(buttongrp);\n", "}\n", "\n", "mpl.figure.prototype._root_extra_style = function(el){\n", " var fig = this\n", " el.on(\"remove\", function(){\n", "\tfig.close_ws(fig, {});\n", " });\n", "}\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(el){\n", " // this is important to make the div 'focusable\n", " el.attr('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", " }\n", " else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "\n", "}\n", "\n", "mpl.figure.prototype._key_event_extra = function(event, name) {\n", " var manager = IPython.notebook.keyboard_manager;\n", " if (!manager)\n", " manager = IPython.keyboard_manager;\n", "\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which == 13) {\n", " this.canvas_div.blur();\n", " event.shiftKey = false;\n", " // Send a \"J\" for go to next cell\n", " event.which = 74;\n", " event.keyCode = 74;\n", " manager.command_mode();\n", " manager.handle_keydown(event);\n", " }\n", "}\n", "\n", "mpl.figure.prototype.handle_save = function(fig, msg) {\n", " fig.ondownload(fig, null);\n", "}\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= 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('matplotlib', mpl.mpl_figure_comm);\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 481, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sst = ds.t_surf.where(land==0)\n", "sst.isel(time=0).plot()" ] }, { "cell_type": "code", "execution_count": 482, "metadata": { "ExecuteTime": { "end_time": "2019-05-17T02:19:11.295209Z", "start_time": "2019-05-17T02:19:10.809335Z" } }, "outputs": [ { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "window.mpl = {};\n", "\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('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", "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 = $('
');\n", " this._root_extra_style(this.root)\n", " this.root.attr('style', 'display: inline-block');\n", "\n", " $(parent_element).append(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 (mpl.ratio != 1) {\n", " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n", " '
');\n", " var titletext = $(\n", " '
');\n", " titlebar.append(titletext)\n", " this.root.append(titlebar);\n", " this.header = titletext[0];\n", "}\n", "\n", "\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "\n", "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "mpl.figure.prototype._init_canvas = function() {\n", " var fig = this;\n", "\n", " var canvas_div = $('
');\n", "\n", " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", "\n", " function canvas_keyboard_event(event) {\n", " return fig.key_event(event, event['data']);\n", " }\n", "\n", " canvas_div.keydown('key_press', canvas_keyboard_event);\n", " canvas_div.keyup('key_release', canvas_keyboard_event);\n", " this.canvas_div = canvas_div\n", " this._canvas_extra_style(canvas_div)\n", " this.root.append(canvas_div);\n", "\n", " var canvas = $('');\n", " canvas.addClass('mpl-canvas');\n", " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", "\n", " this.canvas = canvas[0];\n", " this.context = canvas[0].getContext(\"2d\");\n", "\n", " var backingStore = this.context.backingStorePixelRatio ||\n", "\tthis.context.webkitBackingStorePixelRatio ||\n", "\tthis.context.mozBackingStorePixelRatio ||\n", "\tthis.context.msBackingStorePixelRatio ||\n", "\tthis.context.oBackingStorePixelRatio ||\n", "\tthis.context.backingStorePixelRatio || 1;\n", "\n", " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband = $('');\n", " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", "\n", " var pass_mouse_events = true;\n", "\n", " canvas_div.resizable({\n", " start: function(event, ui) {\n", " pass_mouse_events = false;\n", " },\n", " resize: function(event, ui) {\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " stop: function(event, ui) {\n", " pass_mouse_events = true;\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " });\n", "\n", " function mouse_event_fn(event) {\n", " if (pass_mouse_events)\n", " return fig.mouse_event(event, event['data']);\n", " }\n", "\n", " rubberband.mousedown('button_press', mouse_event_fn);\n", " rubberband.mouseup('button_release', mouse_event_fn);\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband.mousemove('motion_notify', mouse_event_fn);\n", "\n", " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", "\n", " canvas_div.on(\"wheel\", function (event) {\n", " event = event.originalEvent;\n", " event['data'] = 'scroll'\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " mouse_event_fn(event);\n", " });\n", "\n", " canvas_div.append(canvas);\n", " canvas_div.append(rubberband);\n", "\n", " this.rubberband = rubberband;\n", " this.rubberband_canvas = rubberband[0];\n", " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", " this.rubberband_context.strokeStyle = \"#000000\";\n", "\n", " this._resize_canvas = function(width, height) {\n", " // Keep the size of the canvas, canvas container, and rubber band\n", " // canvas in synch.\n", " canvas_div.css('width', width)\n", " canvas_div.css('height', height)\n", "\n", " canvas.attr('width', width * mpl.ratio);\n", " canvas.attr('height', height * mpl.ratio);\n", " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", "\n", " rubberband.attr('width', width);\n", " rubberband.attr('height', height);\n", " }\n", "\n", " // Set the figure to an initial 600x600px, this will subsequently be updated\n", " // upon first draw.\n", " this._resize_canvas(600, 600);\n", "\n", " // Disable right mouse context menu.\n", " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('
')\n", " nav_element.attr('style', 'width: 100%');\n", " this.root.append(nav_element);\n", "\n", " // Define a callback function for later on.\n", " function toolbar_event(event) {\n", " return fig.toolbar_button_onclick(event['data']);\n", " }\n", " function toolbar_mouse_event(event) {\n", " return fig.toolbar_button_onmouseover(event['data']);\n", " }\n", "\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", " // put a spacer in here.\n", " continue;\n", " }\n", " var button = $('');\n", " button.click(method_name, toolbar_event);\n", " button.mouseover(tooltip, toolbar_mouse_event);\n", " nav_element.append(button);\n", " }\n", "\n", " // Add the status bar.\n", " var status_bar = $('');\n", " nav_element.append(status_bar);\n", " this.message = status_bar[0];\n", "\n", " // Add the close button to the window.\n", " var buttongrp = $('
');\n", " var button = $('');\n", " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", " buttongrp.append(button);\n", " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", " titlebar.prepend(buttongrp);\n", "}\n", "\n", "mpl.figure.prototype._root_extra_style = function(el){\n", " var fig = this\n", " el.on(\"remove\", function(){\n", "\tfig.close_ws(fig, {});\n", " });\n", "}\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(el){\n", " // this is important to make the div 'focusable\n", " el.attr('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", " }\n", " else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "\n", "}\n", "\n", "mpl.figure.prototype._key_event_extra = function(event, name) {\n", " var manager = IPython.notebook.keyboard_manager;\n", " if (!manager)\n", " manager = IPython.keyboard_manager;\n", "\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which == 13) {\n", " this.canvas_div.blur();\n", " event.shiftKey = false;\n", " // Send a \"J\" for go to next cell\n", " event.which = 74;\n", " event.keyCode = 74;\n", " manager.command_mode();\n", " manager.handle_keydown(event);\n", " }\n", "}\n", "\n", "mpl.figure.prototype.handle_save = function(fig, msg) {\n", " fig.ondownload(fig, null);\n", "}\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= 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('matplotlib', mpl.mpl_figure_comm);\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 493, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tt = ds.temp.isel(pfull=slice(-1, None, -1)).where(land==0)\n", "tt.isel(time=0, pfull=0).plot()" ] }, { "cell_type": "code", "execution_count": 491, "metadata": { "ExecuteTime": { "end_time": "2019-05-17T02:31:27.746824Z", "start_time": "2019-05-17T02:31:25.469266Z" } }, "outputs": [ { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "window.mpl = {};\n", "\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('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", "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 = $('
');\n", " this._root_extra_style(this.root)\n", " this.root.attr('style', 'display: inline-block');\n", "\n", " $(parent_element).append(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 (mpl.ratio != 1) {\n", " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n", " '
');\n", " var titletext = $(\n", " '
');\n", " titlebar.append(titletext)\n", " this.root.append(titlebar);\n", " this.header = titletext[0];\n", "}\n", "\n", "\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "\n", "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "mpl.figure.prototype._init_canvas = function() {\n", " var fig = this;\n", "\n", " var canvas_div = $('
');\n", "\n", " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", "\n", " function canvas_keyboard_event(event) {\n", " return fig.key_event(event, event['data']);\n", " }\n", "\n", " canvas_div.keydown('key_press', canvas_keyboard_event);\n", " canvas_div.keyup('key_release', canvas_keyboard_event);\n", " this.canvas_div = canvas_div\n", " this._canvas_extra_style(canvas_div)\n", " this.root.append(canvas_div);\n", "\n", " var canvas = $('');\n", " canvas.addClass('mpl-canvas');\n", " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", "\n", " this.canvas = canvas[0];\n", " this.context = canvas[0].getContext(\"2d\");\n", "\n", " var backingStore = this.context.backingStorePixelRatio ||\n", "\tthis.context.webkitBackingStorePixelRatio ||\n", "\tthis.context.mozBackingStorePixelRatio ||\n", "\tthis.context.msBackingStorePixelRatio ||\n", "\tthis.context.oBackingStorePixelRatio ||\n", "\tthis.context.backingStorePixelRatio || 1;\n", "\n", " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband = $('');\n", " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", "\n", " var pass_mouse_events = true;\n", "\n", " canvas_div.resizable({\n", " start: function(event, ui) {\n", " pass_mouse_events = false;\n", " },\n", " resize: function(event, ui) {\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " stop: function(event, ui) {\n", " pass_mouse_events = true;\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " });\n", "\n", " function mouse_event_fn(event) {\n", " if (pass_mouse_events)\n", " return fig.mouse_event(event, event['data']);\n", " }\n", "\n", " rubberband.mousedown('button_press', mouse_event_fn);\n", " rubberband.mouseup('button_release', mouse_event_fn);\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband.mousemove('motion_notify', mouse_event_fn);\n", "\n", " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", "\n", " canvas_div.on(\"wheel\", function (event) {\n", " event = event.originalEvent;\n", " event['data'] = 'scroll'\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " mouse_event_fn(event);\n", " });\n", "\n", " canvas_div.append(canvas);\n", " canvas_div.append(rubberband);\n", "\n", " this.rubberband = rubberband;\n", " this.rubberband_canvas = rubberband[0];\n", " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", " this.rubberband_context.strokeStyle = \"#000000\";\n", "\n", " this._resize_canvas = function(width, height) {\n", " // Keep the size of the canvas, canvas container, and rubber band\n", " // canvas in synch.\n", " canvas_div.css('width', width)\n", " canvas_div.css('height', height)\n", "\n", " canvas.attr('width', width * mpl.ratio);\n", " canvas.attr('height', height * mpl.ratio);\n", " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", "\n", " rubberband.attr('width', width);\n", " rubberband.attr('height', height);\n", " }\n", "\n", " // Set the figure to an initial 600x600px, this will subsequently be updated\n", " // upon first draw.\n", " this._resize_canvas(600, 600);\n", "\n", " // Disable right mouse context menu.\n", " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('
')\n", " nav_element.attr('style', 'width: 100%');\n", " this.root.append(nav_element);\n", "\n", " // Define a callback function for later on.\n", " function toolbar_event(event) {\n", " return fig.toolbar_button_onclick(event['data']);\n", " }\n", " function toolbar_mouse_event(event) {\n", " return fig.toolbar_button_onmouseover(event['data']);\n", " }\n", "\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", " // put a spacer in here.\n", " continue;\n", " }\n", " var button = $('');\n", " button.click(method_name, toolbar_event);\n", " button.mouseover(tooltip, toolbar_mouse_event);\n", " nav_element.append(button);\n", " }\n", "\n", " // Add the status bar.\n", " var status_bar = $('');\n", " nav_element.append(status_bar);\n", " this.message = status_bar[0];\n", "\n", " // Add the close button to the window.\n", " var buttongrp = $('
');\n", " var button = $('');\n", " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", " buttongrp.append(button);\n", " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", " titlebar.prepend(buttongrp);\n", "}\n", "\n", "mpl.figure.prototype._root_extra_style = function(el){\n", " var fig = this\n", " el.on(\"remove\", function(){\n", "\tfig.close_ws(fig, {});\n", " });\n", "}\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(el){\n", " // this is important to make the div 'focusable\n", " el.attr('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", " }\n", " else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "\n", "}\n", "\n", "mpl.figure.prototype._key_event_extra = function(event, name) {\n", " var manager = IPython.notebook.keyboard_manager;\n", " if (!manager)\n", " manager = IPython.keyboard_manager;\n", "\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which == 13) {\n", " this.canvas_div.blur();\n", " event.shiftKey = false;\n", " // Send a \"J\" for go to next cell\n", " event.which = 74;\n", " event.keyCode = 74;\n", " manager.command_mode();\n", " manager.handle_keydown(event);\n", " }\n", "}\n", "\n", "mpl.figure.prototype.handle_save = function(fig, msg) {\n", " fig.ondownload(fig, null);\n", "}\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= 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('matplotlib', mpl.mpl_figure_comm);\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 586, "metadata": {}, "output_type": "execute_result" } ], "source": [ "PI.isel(time=0).plot()" ] }, { "cell_type": "code", "execution_count": 526, "metadata": { "ExecuteTime": { "end_time": "2019-05-17T03:03:32.569255Z", "start_time": "2019-05-17T03:03:28.284376Z" } }, "outputs": [ { "data": { "text/plain": [ "\n", "array([[[5.710863, 5.710863, ..., 5.710863, 5.710863],\n", " [5.626508, 5.622347, ..., 5.634925, 5.630701],\n", " ...,\n", " [7.360289, 7.359637, ..., 7.361721, 7.360983],\n", " [7.857459, 7.857459, ..., 7.857459, 7.857459]],\n", "\n", " [[4.778879, 4.778879, ..., 4.778879, 4.778879],\n", " [4.653583, 4.650416, ..., 4.660004, 4.656779],\n", " ...,\n", " [7.002309, 7.000329, ..., 7.006345, 7.004314],\n", " [7.16419 , 7.16419 , ..., 7.16419 , 7.16419 ]],\n", "\n", " ...,\n", "\n", " [[5.672668, 5.672668, ..., 5.672668, 5.672668],\n", " [5.160303, 5.158794, ..., 5.163472, 5.161863],\n", " ...,\n", " [3.109817, 3.111856, ..., 3.105808, 3.107801],\n", " [3.587991, 3.587991, ..., 3.587991, 3.587991]],\n", "\n", " [[4.6259 , 4.6259 , ..., 4.6259 , 4.6259 ],\n", " [4.391099, 4.389766, ..., 4.393846, 4.392459],\n", " ...,\n", " [5.639391, 5.63663 , ..., 5.644994, 5.642179],\n", " [5.768682, 5.768682, ..., 5.768682, 5.768682]]])\n", "Coordinates:\n", " * time (time) object 1000-01-16 12:00:00 ... 1000-12-16 12:00:00\n", " * lat (lat) float64 -89.75 -89.25 -88.75 -88.25 ... 88.75 89.25 89.75\n", " * lon (lon) float64 0.3125 0.9375 1.562 2.188 ... 357.8 358.4 359.1 359.7" ] }, "execution_count": 526, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#V_shear\n", "u = ds.ucomp\n", "v = ds.vcomp\n", "V_shear = ( (u.interp(pfull=200) - u.interp(pfull=850))**2 \n", " + (v.interp(pfull=200) - v.interp(pfull=850))**2 )**0.5\n", "V_shear = V_shear.rename(new_names)\n", "V_shear" ] }, { "cell_type": "code", "execution_count": 587, "metadata": { "ExecuteTime": { "end_time": "2019-05-17T15:06:49.464370Z", "start_time": "2019-05-17T15:06:48.672830Z" } }, "outputs": [ { "data": { "text/plain": [ "\n", "array([[[nan, nan, ..., nan, nan],\n", " [nan, nan, ..., nan, nan],\n", " ...,\n", " [ 0., 0., ..., 0., 0.],\n", " [ 0., 0., ..., 0., 0.]],\n", "\n", " [[nan, nan, ..., nan, nan],\n", " [nan, nan, ..., nan, nan],\n", " ...,\n", " [ 0., 0., ..., 0., 0.],\n", " [ 0., 0., ..., 0., 0.]],\n", "\n", " ...,\n", "\n", " [[nan, nan, ..., nan, nan],\n", " [nan, nan, ..., nan, nan],\n", " ...,\n", " [ 0., 0., ..., 0., 0.],\n", " [ 0., 0., ..., 0., 0.]],\n", "\n", " [[nan, nan, ..., nan, nan],\n", " [nan, nan, ..., nan, nan],\n", " ...,\n", " [ 0., 0., ..., 0., 0.],\n", " [ 0., 0., ..., 0., 0.]]])\n", "Coordinates:\n", " * time (time) object 1000-01-16 12:00:00 ... 1000-12-16 12:00:00\n", " * lat (lat) float64 -89.75 -89.25 -88.75 -88.25 ... 88.75 89.25 89.75\n", " * lon (lon) float64 0.3125 0.9375 1.562 2.188 ... 357.8 358.4 359.1 359.7\n", " pfull int64 600" ] }, "execution_count": 587, "metadata": {}, "output_type": "execute_result" } ], "source": [ "GPI = ( 1e5 * np.abs(eta) )**(3/2) * (H/50)**3 * (PI/70)**3 * (1+0.1*V_shear)**(-2) \n", "GPI" ] }, { "cell_type": "code", "execution_count": 589, "metadata": { "ExecuteTime": { "end_time": "2019-05-17T15:07:15.827336Z", "start_time": "2019-05-17T15:07:15.454821Z" } }, "outputs": [ { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "window.mpl = {};\n", "\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('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", "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 = $('
');\n", " this._root_extra_style(this.root)\n", " this.root.attr('style', 'display: inline-block');\n", "\n", " $(parent_element).append(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 (mpl.ratio != 1) {\n", " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n", " '
');\n", " var titletext = $(\n", " '
');\n", " titlebar.append(titletext)\n", " this.root.append(titlebar);\n", " this.header = titletext[0];\n", "}\n", "\n", "\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "\n", "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "mpl.figure.prototype._init_canvas = function() {\n", " var fig = this;\n", "\n", " var canvas_div = $('
');\n", "\n", " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", "\n", " function canvas_keyboard_event(event) {\n", " return fig.key_event(event, event['data']);\n", " }\n", "\n", " canvas_div.keydown('key_press', canvas_keyboard_event);\n", " canvas_div.keyup('key_release', canvas_keyboard_event);\n", " this.canvas_div = canvas_div\n", " this._canvas_extra_style(canvas_div)\n", " this.root.append(canvas_div);\n", "\n", " var canvas = $('');\n", " canvas.addClass('mpl-canvas');\n", " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", "\n", " this.canvas = canvas[0];\n", " this.context = canvas[0].getContext(\"2d\");\n", "\n", " var backingStore = this.context.backingStorePixelRatio ||\n", "\tthis.context.webkitBackingStorePixelRatio ||\n", "\tthis.context.mozBackingStorePixelRatio ||\n", "\tthis.context.msBackingStorePixelRatio ||\n", "\tthis.context.oBackingStorePixelRatio ||\n", "\tthis.context.backingStorePixelRatio || 1;\n", "\n", " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband = $('');\n", " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", "\n", " var pass_mouse_events = true;\n", "\n", " canvas_div.resizable({\n", " start: function(event, ui) {\n", " pass_mouse_events = false;\n", " },\n", " resize: function(event, ui) {\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " stop: function(event, ui) {\n", " pass_mouse_events = true;\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " });\n", "\n", " function mouse_event_fn(event) {\n", " if (pass_mouse_events)\n", " return fig.mouse_event(event, event['data']);\n", " }\n", "\n", " rubberband.mousedown('button_press', mouse_event_fn);\n", " rubberband.mouseup('button_release', mouse_event_fn);\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband.mousemove('motion_notify', mouse_event_fn);\n", "\n", " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", "\n", " canvas_div.on(\"wheel\", function (event) {\n", " event = event.originalEvent;\n", " event['data'] = 'scroll'\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " mouse_event_fn(event);\n", " });\n", "\n", " canvas_div.append(canvas);\n", " canvas_div.append(rubberband);\n", "\n", " this.rubberband = rubberband;\n", " this.rubberband_canvas = rubberband[0];\n", " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", " this.rubberband_context.strokeStyle = \"#000000\";\n", "\n", " this._resize_canvas = function(width, height) {\n", " // Keep the size of the canvas, canvas container, and rubber band\n", " // canvas in synch.\n", " canvas_div.css('width', width)\n", " canvas_div.css('height', height)\n", "\n", " canvas.attr('width', width * mpl.ratio);\n", " canvas.attr('height', height * mpl.ratio);\n", " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", "\n", " rubberband.attr('width', width);\n", " rubberband.attr('height', height);\n", " }\n", "\n", " // Set the figure to an initial 600x600px, this will subsequently be updated\n", " // upon first draw.\n", " this._resize_canvas(600, 600);\n", "\n", " // Disable right mouse context menu.\n", " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('
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');\n", " var button = $('');\n", " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", " buttongrp.append(button);\n", " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", " titlebar.prepend(buttongrp);\n", "}\n", "\n", "mpl.figure.prototype._root_extra_style = function(el){\n", " var fig = this\n", " el.on(\"remove\", function(){\n", "\tfig.close_ws(fig, {});\n", " });\n", "}\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(el){\n", " // this is important to make the div 'focusable\n", " el.attr('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", " }\n", " else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "\n", "}\n", "\n", "mpl.figure.prototype._key_event_extra = function(event, name) {\n", " var manager = IPython.notebook.keyboard_manager;\n", " if (!manager)\n", " manager = IPython.keyboard_manager;\n", "\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which == 13) {\n", " this.canvas_div.blur();\n", " event.shiftKey = false;\n", " // Send a \"J\" for go to next cell\n", " event.which = 74;\n", " event.keyCode = 74;\n", " manager.command_mode();\n", " manager.handle_keydown(event);\n", " }\n", "}\n", "\n", "mpl.figure.prototype.handle_save = function(fig, msg) {\n", " fig.ondownload(fig, null);\n", "}\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= 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('matplotlib', mpl.mpl_figure_comm);\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ds.htopo.plot(robust=True, figsize=(8,4))\n", "plt.tight_layout()" ] }, { "cell_type": "code", "execution_count": 349, "metadata": { "ExecuteTime": { "end_time": "2019-05-16T18:39:38.776427Z", "start_time": "2019-05-16T18:39:38.356860Z" } }, "outputs": [ { "data": { "text/plain": [ "\n", "array([2777., 2777., 2778., ..., 0., 0., 0.], dtype=float32)\n", "Dimensions without coordinates: lat\n", "Attributes:\n", " long_name: 1-min elevation from USGS 30-sec dataset\n", " units: meter" ] }, "execution_count": 349, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds.htopo.isel(lon=0)" ] }, { "cell_type": "code", "execution_count": 350, "metadata": { "ExecuteTime": { "end_time": "2019-05-16T18:39:51.924765Z", "start_time": "2019-05-16T18:39:51.853308Z" } }, "outputs": [ { "data": { "text/plain": [ "\n", "array([2776. , 2777. , 2777.55, ..., 0. , 0. , 0. ],\n", " dtype=float32)\n", "Dimensions without coordinates: lat\n", "Attributes:\n", " long_name: 1-min elevation from USGS 30-sec dataset\n", " units: meter" ] }, "execution_count": 350, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds.htopo.isel(lon=-1)" ] }, { "cell_type": "code", "execution_count": 386, "metadata": { "ExecuteTime": { "end_time": "2019-05-16T20:33:22.617122Z", "start_time": "2019-05-16T20:33:22.601327Z" } }, "outputs": [ { "data": { "text/plain": [ "\n", "Dimensions: (x: 2160, x1: 1, x2: 2161, x3: 1081, y: 1080)\n", "Dimensions without coordinates: x, x1, x2, x3, y\n", "Data variables:\n", " zdat (y, x) float32 ...\n", " xdat (x2) float32 ...\n", " ydat (x3) float32 ...\n", " ipts (x1) float32 ...\n", " jpts (x1) float32 ..." ] }, "execution_count": 386, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds = xr.open_dataset('/projects/GEOCLIM/janewb/TOPO/navy_topography.data.nc')\n", "ds" ] }, { "cell_type": "code", "execution_count": 387, "metadata": { "ExecuteTime": { "end_time": "2019-05-16T20:33:25.334460Z", "start_time": "2019-05-16T20:33:25.328467Z" } }, "outputs": [ { "data": { "text/plain": [ "\n", "array([-1.570796, -1.567888, -1.564979, ..., 1.564959, 1.567868, 1.570796],\n", " dtype=float32)\n", "Dimensions without coordinates: x3" ] }, "execution_count": 387, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds.ydat" ] }, { "cell_type": "code", "execution_count": 391, "metadata": { "ExecuteTime": { "end_time": "2019-05-16T20:33:54.550381Z", "start_time": "2019-05-16T20:33:54.544561Z" } }, "outputs": [ { "data": { "text/plain": [ "\n", "array([0.000000e+00, 2.908882e-03, 5.817764e-03, ..., 6.277256e+00,\n", " 6.280164e+00, 6.283185e+00], dtype=float32)\n", "Dimensions without coordinates: x2" ] }, "execution_count": 391, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds.xdat" ] }, { "cell_type": "code", "execution_count": 378, "metadata": { "ExecuteTime": { "end_time": "2019-05-16T18:58:57.600142Z", "start_time": "2019-05-16T18:58:57.216584Z" } }, "outputs": [ { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "window.mpl = {};\n", "\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('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", "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 = $('
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');\n", " titlebar.append(titletext)\n", " this.root.append(titlebar);\n", " this.header = titletext[0];\n", "}\n", "\n", "\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "\n", "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "mpl.figure.prototype._init_canvas = function() {\n", " var fig = this;\n", "\n", " var canvas_div = $('
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')\n", " nav_element.attr('style', 'width: 100%');\n", " this.root.append(nav_element);\n", "\n", " // Define a callback function for later on.\n", " function toolbar_event(event) {\n", " return fig.toolbar_button_onclick(event['data']);\n", " }\n", " function toolbar_mouse_event(event) {\n", " return fig.toolbar_button_onmouseover(event['data']);\n", " }\n", "\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", " // put a spacer in here.\n", " continue;\n", " }\n", " var button = $('');\n", " button.click(method_name, toolbar_event);\n", " button.mouseover(tooltip, toolbar_mouse_event);\n", " nav_element.append(button);\n", " }\n", "\n", " // Add the status bar.\n", " var status_bar = $('');\n", " nav_element.append(status_bar);\n", " this.message = status_bar[0];\n", "\n", " // Add the close button to the window.\n", " var buttongrp = $('
');\n", " var button = $('');\n", " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", " buttongrp.append(button);\n", " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", " titlebar.prepend(buttongrp);\n", "}\n", "\n", "mpl.figure.prototype._root_extra_style = function(el){\n", " var fig = this\n", " el.on(\"remove\", function(){\n", "\tfig.close_ws(fig, {});\n", " });\n", "}\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(el){\n", " // this is important to make the div 'focusable\n", " el.attr('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", " }\n", " else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "\n", "}\n", "\n", "mpl.figure.prototype._key_event_extra = function(event, name) {\n", " var manager = IPython.notebook.keyboard_manager;\n", " if (!manager)\n", " manager = IPython.keyboard_manager;\n", "\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which == 13) {\n", " this.canvas_div.blur();\n", " event.shiftKey = false;\n", " // Send a \"J\" for go to next cell\n", " event.which = 74;\n", " event.keyCode = 74;\n", " manager.command_mode();\n", " manager.handle_keydown(event);\n", " }\n", "}\n", "\n", "mpl.figure.prototype.handle_save = function(fig, msg) {\n", " fig.ondownload(fig, null);\n", "}\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= 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('matplotlib', mpl.mpl_figure_comm);\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "da.sum('mon').mean('year').rename('TC days per year').plot.contourf(cmap='Oranges',levels=2**np.arange(-2, 6.1))\n", "mapplot()" ] }, { "cell_type": "code", "execution_count": 392, "metadata": { "ExecuteTime": { "end_time": "2019-05-16T21:10:32.531410Z", "start_time": "2019-05-16T21:10:32.169937Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ens:\n", "1; " ] }, { "data": { "text/plain": [ "\n", "Dimensions: (en: 1, stage: 120, storm: 200, year: 1)\n", "Coordinates:\n", " * storm (storm) int64 1 2 3 4 5 6 7 8 9 ... 193 194 195 196 197 198 199 200\n", " * stage (stage) int64 0 6 12 18 24 30 36 42 ... 678 684 690 696 702 708 714\n", " * year (year) int64 1963\n", " * en (en) int64 1\n", "Data variables:\n", " lat (en, year, storm, stage) float64 -12.51 -12.95 -13.37 ... nan nan\n", " lon (en, year, storm, stage) float64 62.11 61.75 61.13 ... nan nan nan\n", " vmax (en, year, storm, stage) float64 29.83 26.36 25.53 ... nan nan nan\n", " slp (en, year, storm, stage) float64 981.5 981.6 985.1 ... nan nan nan\n", " tm (en, year, storm, stage) float64 261.0 259.1 258.1 ... nan nan nan\n", " month (en, year, storm, stage) float64 1.0 1.0 1.0 1.0 ... nan nan nan\n", " day (en, year, storm, stage) float64 1.0 1.0 1.0 1.0 ... nan nan nan\n", " hour (en, year, storm, stage) float64 6.0 12.0 18.0 24.0 ... nan nan nan" ] }, "execution_count": 392, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds = tc_get('Agung_PI_ens_noleap', years=1963, ens=1)\n", "ds" ] }, { "cell_type": "code", "execution_count": 383, "metadata": { "ExecuteTime": { "end_time": "2019-05-16T19:17:11.000817Z", "start_time": "2019-05-16T19:17:10.995024Z" } }, "outputs": [ { "data": { "text/plain": [ "Frozen(SortedKeysDict({'storm': 200, 'stage': 120, 'year': 1, 'en': 1}))" ] }, "execution_count": 383, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds.dims" ] }, { "cell_type": "code", "execution_count": 442, "metadata": { "ExecuteTime": { "end_time": "2019-05-16T21:37:44.453150Z", "start_time": "2019-05-16T21:37:36.459694Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "years:\n", "11; 12; 13; 14; 15; 16; 17; 18; 19; 20; 21; 22; 23; 24; 25; 26; 27; 28; 29; 30; 31; 32; 33; 34; 35; 36; 37; 38; 39; 40; " ] }, { "data": { "text/plain": [ "\n", "Dimensions: (stage: 120, storm: 200, year: 30)\n", "Coordinates:\n", " * storm (storm) int64 1 2 3 4 5 6 7 8 9 ... 193 194 195 196 197 198 199 200\n", " * stage (stage) int64 0 6 12 18 24 30 36 42 ... 678 684 690 696 702 708 714\n", " * year (year) int64 11 12 13 14 15 16 17 18 19 ... 33 34 35 36 37 38 39 40\n", "Data variables:\n", " lat (year, storm, stage) float64 -12.51 -12.94 -13.37 ... nan nan nan\n", " lon (year, storm, stage) float64 62.11 61.74 61.13 ... nan nan nan\n", " vmax (year, storm, stage) float64 29.82 26.09 25.44 ... nan nan nan\n", " slp (year, storm, stage) float64 981.5 981.6 984.9 ... nan nan nan\n", " tm (year, storm, stage) float64 261.0 259.1 258.5 ... nan nan nan\n", " month (year, storm, stage) float64 1.0 1.0 1.0 1.0 ... nan nan nan nan\n", " day (year, storm, stage) float64 1.0 1.0 1.0 1.0 ... nan nan nan nan\n", " hour (year, storm, stage) float64 6.0 12.0 18.0 24.0 ... nan nan nan nan" ] }, "execution_count": 442, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds = tc_get('CTL1860_noleap_tigercpu_intelmpi_18_576PE', years=np.arange(11, 41))\n", "ds" ] }, { "cell_type": "code", "execution_count": 209, "metadata": { "ExecuteTime": { "end_time": "2019-05-15T21:28:14.235006Z", "start_time": "2019-05-15T21:28:14.105992Z" } }, "outputs": [ { "data": { "text/plain": [ "\n", "Dimensions: (stage: 120, storm: 200)\n", "Coordinates:\n", " * storm (storm) int64 1 2 3 4 5 6 7 8 9 ... 193 194 195 196 197 198 199 200\n", " * stage (stage) int64 0 6 12 18 24 30 36 42 ... 678 684 690 696 702 708 714\n", "Data variables:\n", " lat (storm, stage) float64 -14.3 -14.76 -15.29 -16.11 ... nan nan nan\n", " lon (storm, stage) float64 110.4 110.6 111.1 111.6 ... nan nan nan nan\n", " vmax (storm, stage) float64 20.47 21.53 19.13 19.79 ... nan nan nan nan\n", " slp (storm, stage) float64 990.2 992.0 991.2 990.9 ... nan nan nan nan\n", " tm (storm, stage) float64 260.5 258.8 258.1 258.9 ... nan nan nan nan\n", " month (storm, stage) float64 1.0 1.0 1.0 1.0 1.0 ... nan nan nan nan nan\n", " day (storm, stage) float64 1.0 1.0 1.0 2.0 2.0 ... nan nan nan nan nan\n", " hour (storm, stage) float64 6.0 12.0 18.0 0.0 6.0 ... nan nan nan nan" ] }, "execution_count": 209, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds = tc_extract(ifile)\n", "ds" ] }, { "cell_type": "code", "execution_count": 293, "metadata": { "ExecuteTime": { "end_time": "2019-05-16T16:36:44.449671Z", "start_time": "2019-05-16T16:36:39.539374Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1; 2; 3; 4; 5; 6; 7; 8; 9; 10; " ] }, { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "window.mpl = {};\n", "\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('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", "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 = $('
');\n", " this._root_extra_style(this.root)\n", " this.root.attr('style', 'display: inline-block');\n", "\n", " $(parent_element).append(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 (mpl.ratio != 1) {\n", " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n", " '
');\n", " var titletext = $(\n", " '
');\n", " titlebar.append(titletext)\n", " this.root.append(titlebar);\n", " this.header = titletext[0];\n", "}\n", "\n", "\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "\n", "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "mpl.figure.prototype._init_canvas = function() {\n", " var fig = this;\n", "\n", " var canvas_div = $('
');\n", "\n", " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", "\n", " function canvas_keyboard_event(event) {\n", " return fig.key_event(event, event['data']);\n", " }\n", "\n", " canvas_div.keydown('key_press', canvas_keyboard_event);\n", " canvas_div.keyup('key_release', canvas_keyboard_event);\n", " this.canvas_div = canvas_div\n", " this._canvas_extra_style(canvas_div)\n", " this.root.append(canvas_div);\n", "\n", " var canvas = $('');\n", " canvas.addClass('mpl-canvas');\n", " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", "\n", " this.canvas = canvas[0];\n", " this.context = canvas[0].getContext(\"2d\");\n", "\n", " var backingStore = this.context.backingStorePixelRatio ||\n", "\tthis.context.webkitBackingStorePixelRatio ||\n", "\tthis.context.mozBackingStorePixelRatio ||\n", "\tthis.context.msBackingStorePixelRatio ||\n", "\tthis.context.oBackingStorePixelRatio ||\n", "\tthis.context.backingStorePixelRatio || 1;\n", "\n", " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband = $('');\n", " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", "\n", " var pass_mouse_events = true;\n", "\n", " canvas_div.resizable({\n", " start: function(event, ui) {\n", " pass_mouse_events = false;\n", " },\n", " resize: function(event, ui) {\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " stop: function(event, ui) {\n", " pass_mouse_events = true;\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " });\n", "\n", " function mouse_event_fn(event) {\n", " if (pass_mouse_events)\n", " return fig.mouse_event(event, event['data']);\n", " }\n", "\n", " rubberband.mousedown('button_press', mouse_event_fn);\n", " rubberband.mouseup('button_release', mouse_event_fn);\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband.mousemove('motion_notify', mouse_event_fn);\n", "\n", " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", "\n", " canvas_div.on(\"wheel\", function (event) {\n", " event = event.originalEvent;\n", " event['data'] = 'scroll'\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " mouse_event_fn(event);\n", " });\n", "\n", " canvas_div.append(canvas);\n", " canvas_div.append(rubberband);\n", "\n", " this.rubberband = rubberband;\n", " this.rubberband_canvas = rubberband[0];\n", " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", " this.rubberband_context.strokeStyle = \"#000000\";\n", "\n", " this._resize_canvas = function(width, height) {\n", " // Keep the size of the canvas, canvas container, and rubber band\n", " // canvas in synch.\n", " canvas_div.css('width', width)\n", " canvas_div.css('height', height)\n", "\n", " canvas.attr('width', width * mpl.ratio);\n", " canvas.attr('height', height * mpl.ratio);\n", " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", "\n", " rubberband.attr('width', width);\n", " rubberband.attr('height', height);\n", " }\n", "\n", " // Set the figure to an initial 600x600px, this will subsequently be updated\n", " // upon first draw.\n", " this._resize_canvas(600, 600);\n", "\n", " // Disable right mouse context menu.\n", " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('
')\n", " nav_element.attr('style', 'width: 100%');\n", " this.root.append(nav_element);\n", "\n", " // Define a callback function for later on.\n", " function toolbar_event(event) {\n", " return fig.toolbar_button_onclick(event['data']);\n", " }\n", " function toolbar_mouse_event(event) {\n", " return fig.toolbar_button_onmouseover(event['data']);\n", " }\n", "\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", " // put a spacer in here.\n", " continue;\n", " }\n", " var button = $('');\n", " button.click(method_name, toolbar_event);\n", " button.mouseover(tooltip, toolbar_mouse_event);\n", " nav_element.append(button);\n", " }\n", "\n", " // Add the status bar.\n", " var status_bar = $('');\n", " nav_element.append(status_bar);\n", " this.message = status_bar[0];\n", "\n", " // Add the close button to the window.\n", " var buttongrp = $('
');\n", " var button = $('');\n", " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", " buttongrp.append(button);\n", " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", " titlebar.prepend(buttongrp);\n", "}\n", "\n", "mpl.figure.prototype._root_extra_style = function(el){\n", " var fig = this\n", " el.on(\"remove\", function(){\n", "\tfig.close_ws(fig, {});\n", " });\n", "}\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(el){\n", " // this is important to make the div 'focusable\n", " el.attr('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", " }\n", " else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "\n", "}\n", "\n", "mpl.figure.prototype._key_event_extra = function(event, name) {\n", " var manager = IPython.notebook.keyboard_manager;\n", " if (!manager)\n", " manager = IPython.keyboard_manager;\n", "\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which == 13) {\n", " this.canvas_div.blur();\n", " event.shiftKey = false;\n", " // Send a \"J\" for go to next cell\n", " event.which = 74;\n", " event.keyCode = 74;\n", " manager.command_mode();\n", " manager.handle_keydown(event);\n", " }\n", "}\n", "\n", "mpl.figure.prototype.handle_save = function(fig, msg) {\n", " fig.ondownload(fig, null);\n", "}\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= 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('matplotlib', mpl.mpl_figure_comm);\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 298, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds.sel(year=1963, en=5).slp.plot()" ] }, { "cell_type": "code", "execution_count": 333, "metadata": { "ExecuteTime": { "end_time": "2019-05-16T17:11:02.779391Z", "start_time": "2019-05-16T17:10:59.983413Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "11; 12; 13; 14; 15; 16; 17; 18; 19; 20; " ] }, { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "window.mpl = {};\n", "\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('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", "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 = $('
');\n", " this._root_extra_style(this.root)\n", " this.root.attr('style', 'display: inline-block');\n", "\n", " $(parent_element).append(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 (mpl.ratio != 1) {\n", " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n", " '
');\n", " var titletext = $(\n", " '
');\n", " titlebar.append(titletext)\n", " this.root.append(titlebar);\n", " this.header = titletext[0];\n", "}\n", "\n", "\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "\n", "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "mpl.figure.prototype._init_canvas = function() {\n", " var fig = this;\n", "\n", " var canvas_div = $('
');\n", "\n", " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", "\n", " function canvas_keyboard_event(event) {\n", " return fig.key_event(event, event['data']);\n", " }\n", "\n", " canvas_div.keydown('key_press', canvas_keyboard_event);\n", " canvas_div.keyup('key_release', canvas_keyboard_event);\n", " this.canvas_div = canvas_div\n", " this._canvas_extra_style(canvas_div)\n", " this.root.append(canvas_div);\n", "\n", " var canvas = $('');\n", " canvas.addClass('mpl-canvas');\n", " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", "\n", " this.canvas = canvas[0];\n", " this.context = canvas[0].getContext(\"2d\");\n", "\n", " var backingStore = this.context.backingStorePixelRatio ||\n", "\tthis.context.webkitBackingStorePixelRatio ||\n", "\tthis.context.mozBackingStorePixelRatio ||\n", "\tthis.context.msBackingStorePixelRatio ||\n", "\tthis.context.oBackingStorePixelRatio ||\n", "\tthis.context.backingStorePixelRatio || 1;\n", "\n", " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband = $('');\n", " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", "\n", " var pass_mouse_events = true;\n", "\n", " canvas_div.resizable({\n", " start: function(event, ui) {\n", " pass_mouse_events = false;\n", " },\n", " resize: function(event, ui) {\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " stop: function(event, ui) {\n", " pass_mouse_events = true;\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " });\n", "\n", " function mouse_event_fn(event) {\n", " if (pass_mouse_events)\n", " return fig.mouse_event(event, event['data']);\n", " }\n", "\n", " rubberband.mousedown('button_press', mouse_event_fn);\n", " rubberband.mouseup('button_release', mouse_event_fn);\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband.mousemove('motion_notify', mouse_event_fn);\n", "\n", " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", "\n", " canvas_div.on(\"wheel\", function (event) {\n", " event = event.originalEvent;\n", " event['data'] = 'scroll'\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " mouse_event_fn(event);\n", " });\n", "\n", " canvas_div.append(canvas);\n", " canvas_div.append(rubberband);\n", "\n", " this.rubberband = rubberband;\n", " this.rubberband_canvas = rubberband[0];\n", " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", " this.rubberband_context.strokeStyle = \"#000000\";\n", "\n", " this._resize_canvas = function(width, height) {\n", " // Keep the size of the canvas, canvas container, and rubber band\n", " // canvas in synch.\n", " canvas_div.css('width', width)\n", " canvas_div.css('height', height)\n", "\n", " canvas.attr('width', width * mpl.ratio);\n", " canvas.attr('height', height * mpl.ratio);\n", " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", "\n", " rubberband.attr('width', width);\n", " rubberband.attr('height', height);\n", " }\n", "\n", " // Set the figure to an initial 600x600px, this will subsequently be updated\n", " // upon first draw.\n", " this._resize_canvas(600, 600);\n", "\n", " // Disable right mouse context menu.\n", " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('
')\n", " nav_element.attr('style', 'width: 100%');\n", " this.root.append(nav_element);\n", "\n", " // Define a callback function for later on.\n", " function toolbar_event(event) {\n", " return fig.toolbar_button_onclick(event['data']);\n", " }\n", " function toolbar_mouse_event(event) {\n", " return fig.toolbar_button_onmouseover(event['data']);\n", " }\n", "\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", " // put a spacer in here.\n", " continue;\n", " }\n", " var button = $('');\n", " button.click(method_name, toolbar_event);\n", " button.mouseover(tooltip, toolbar_mouse_event);\n", " nav_element.append(button);\n", " }\n", "\n", " // Add the status bar.\n", " var status_bar = $('');\n", " nav_element.append(status_bar);\n", " this.message = status_bar[0];\n", "\n", " // Add the close button to the window.\n", " var buttongrp = $('
');\n", " var button = $('');\n", " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", " buttongrp.append(button);\n", " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", " titlebar.prepend(buttongrp);\n", "}\n", "\n", "mpl.figure.prototype._root_extra_style = function(el){\n", " var fig = this\n", " el.on(\"remove\", function(){\n", "\tfig.close_ws(fig, {});\n", " });\n", "}\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(el){\n", " // this is important to make the div 'focusable\n", " el.attr('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", " }\n", " else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "\n", "}\n", "\n", "mpl.figure.prototype._key_event_extra = function(event, name) {\n", " var manager = IPython.notebook.keyboard_manager;\n", " if (!manager)\n", " manager = IPython.keyboard_manager;\n", "\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which == 13) {\n", " this.canvas_div.blur();\n", " event.shiftKey = false;\n", " // Send a \"J\" for go to next cell\n", " event.which = 74;\n", " event.keyCode = 74;\n", " manager.command_mode();\n", " manager.handle_keydown(event);\n", " }\n", "}\n", "\n", "mpl.figure.prototype.handle_save = function(fig, msg) {\n", " fig.ondownload(fig, null);\n", "}\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= 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('matplotlib', mpl.mpl_figure_comm);\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 305, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds.sel(year=14).slp.where(ds.sel(year=14).month==3).plot()" ] }, { "cell_type": "code", "execution_count": 268, "metadata": { "ExecuteTime": { "end_time": "2019-05-16T16:13:17.031436Z", "start_time": "2019-05-16T16:13:16.935401Z" } }, "outputs": [ { "data": { "text/plain": [ "'/tigress/wenchang/MODEL_OUT/CTL1860_noleap_tigercpu_intelmpi_18_576PE/analysis_lmh/cyclones_gav_ro110_1C_330k/atmos_20_20/Harris.TC/lmh_TCtrack_ts_4x.dat.warm.h29_25.TS.world.20200101-20210101.txt'" ] }, "execution_count": 268, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tc_file('CTL1860_noleap_tigercpu_intelmpi_18_576PE', 20)" ] }, { "cell_type": "code", "execution_count": 269, "metadata": { "ExecuteTime": { "end_time": "2019-05-16T16:13:36.819437Z", "start_time": "2019-05-16T16:13:36.141404Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "00001++++++++++++++++++++00001 000018 26.1900 997 26\r\n", " 2020010106 57.09 -10.92 999.43 24.22 257.42\r\n", " 2020010112 56.58 -11.50 997.21 25.24 257.58\r\n", " 2020010118 55.92 -11.59 999.80 21.63 258.25\r\n", " 2020010200 55.90 -11.79 997.57 26.19 257.46\r\n", " 2020010206 55.71 -12.27 1000.90 23.56 257.32\r\n", " 2020010212 55.18 -12.69 998.41 22.96 256.99\r\n", " 2020010218 54.87 -12.67 1001.71 25.22 256.97\r\n", " 2020010300 54.78 -12.62 1000.60 23.89 257.05\r\n", " 2020010306 54.56 -12.84 1003.44 20.74 255.43\r\n" ] } ], "source": [ "!head /tigress/wenchang/MODEL_OUT/CTL1860_noleap_tigercpu_intelmpi_18_576PE/analysis_lmh/cyclones_gav_ro110_1C_330k/atmos_20_20/Harris.TC/lmh_TCtrack_ts_4x.dat.warm.h29_25.TS.world.20200101-20210101.txt" ] }, { "cell_type": "code", "execution_count": 258, "metadata": { "ExecuteTime": { "end_time": "2019-05-16T14:53:03.975148Z", "start_time": "2019-05-16T14:52:39.054634Z" } }, "outputs": [ { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "window.mpl = {};\n", "\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('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", "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 = $('
');\n", " this._root_extra_style(this.root)\n", " this.root.attr('style', 'display: inline-block');\n", "\n", " $(parent_element).append(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 (mpl.ratio != 1) {\n", " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n", " '
');\n", " var titletext = $(\n", " '
');\n", " titlebar.append(titletext)\n", " this.root.append(titlebar);\n", " this.header = titletext[0];\n", "}\n", "\n", "\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "\n", "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "mpl.figure.prototype._init_canvas = function() {\n", " var fig = this;\n", "\n", " var canvas_div = $('
');\n", "\n", " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", "\n", " function canvas_keyboard_event(event) {\n", " return fig.key_event(event, event['data']);\n", " }\n", "\n", " canvas_div.keydown('key_press', canvas_keyboard_event);\n", " canvas_div.keyup('key_release', canvas_keyboard_event);\n", " this.canvas_div = canvas_div\n", " this._canvas_extra_style(canvas_div)\n", " this.root.append(canvas_div);\n", "\n", " var canvas = $('');\n", " canvas.addClass('mpl-canvas');\n", " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", "\n", " this.canvas = canvas[0];\n", " this.context = canvas[0].getContext(\"2d\");\n", "\n", " var backingStore = this.context.backingStorePixelRatio ||\n", "\tthis.context.webkitBackingStorePixelRatio ||\n", "\tthis.context.mozBackingStorePixelRatio ||\n", "\tthis.context.msBackingStorePixelRatio ||\n", "\tthis.context.oBackingStorePixelRatio ||\n", "\tthis.context.backingStorePixelRatio || 1;\n", "\n", " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband = $('');\n", " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", "\n", " var pass_mouse_events = true;\n", "\n", " canvas_div.resizable({\n", " start: function(event, ui) {\n", " pass_mouse_events = false;\n", " },\n", " resize: function(event, ui) {\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " stop: function(event, ui) {\n", " pass_mouse_events = true;\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " });\n", "\n", " function mouse_event_fn(event) {\n", " if (pass_mouse_events)\n", " return fig.mouse_event(event, event['data']);\n", " }\n", "\n", " rubberband.mousedown('button_press', mouse_event_fn);\n", " rubberband.mouseup('button_release', mouse_event_fn);\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband.mousemove('motion_notify', mouse_event_fn);\n", "\n", " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", "\n", " canvas_div.on(\"wheel\", function (event) {\n", " event = event.originalEvent;\n", " event['data'] = 'scroll'\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " mouse_event_fn(event);\n", " });\n", "\n", " canvas_div.append(canvas);\n", " canvas_div.append(rubberband);\n", "\n", " this.rubberband = rubberband;\n", " this.rubberband_canvas = rubberband[0];\n", " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", " this.rubberband_context.strokeStyle = \"#000000\";\n", "\n", " this._resize_canvas = function(width, height) {\n", " // Keep the size of the canvas, canvas container, and rubber band\n", " // canvas in synch.\n", " canvas_div.css('width', width)\n", " canvas_div.css('height', height)\n", "\n", " canvas.attr('width', width * mpl.ratio);\n", " canvas.attr('height', height * mpl.ratio);\n", " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", "\n", " rubberband.attr('width', width);\n", " rubberband.attr('height', height);\n", " }\n", "\n", " // Set the figure to an initial 600x600px, this will subsequently be updated\n", " // upon first draw.\n", " this._resize_canvas(600, 600);\n", "\n", " // Disable right mouse context menu.\n", " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('
')\n", " nav_element.attr('style', 'width: 100%');\n", " this.root.append(nav_element);\n", "\n", " // Define a callback function for later on.\n", " function toolbar_event(event) {\n", " return fig.toolbar_button_onclick(event['data']);\n", " }\n", " function toolbar_mouse_event(event) {\n", " return fig.toolbar_button_onmouseover(event['data']);\n", " }\n", "\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", " // put a spacer in here.\n", " continue;\n", " }\n", " var button = $('');\n", " button.click(method_name, toolbar_event);\n", " button.mouseover(tooltip, toolbar_mouse_event);\n", " nav_element.append(button);\n", " }\n", "\n", " // Add the status bar.\n", " var status_bar = $('');\n", " nav_element.append(status_bar);\n", " this.message = status_bar[0];\n", "\n", " // Add the close button to the window.\n", " var buttongrp = $('
');\n", " var button = $('');\n", " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", " buttongrp.append(button);\n", " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", " titlebar.prepend(buttongrp);\n", "}\n", "\n", "mpl.figure.prototype._root_extra_style = function(el){\n", " var fig = this\n", " el.on(\"remove\", function(){\n", "\tfig.close_ws(fig, {});\n", " });\n", "}\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(el){\n", " // this is important to make the div 'focusable\n", " el.attr('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", " }\n", " else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "\n", "}\n", "\n", "mpl.figure.prototype._key_event_extra = function(event, name) {\n", " var manager = IPython.notebook.keyboard_manager;\n", " if (!manager)\n", " manager = IPython.keyboard_manager;\n", "\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which == 13) {\n", " this.canvas_div.blur();\n", " event.shiftKey = false;\n", " // Send a \"J\" for go to next cell\n", " event.which = 74;\n", " event.keyCode = 74;\n", " manager.command_mode();\n", " manager.handle_keydown(event);\n", " }\n", "}\n", "\n", "mpl.figure.prototype.handle_save = function(fig, msg) {\n", " fig.ondownload(fig, null);\n", "}\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= 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('matplotlib', mpl.mpl_figure_comm);\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 262, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds.lon.sel(stage=0).plot(x='year')" ] }, { "cell_type": "code", "execution_count": 48, "metadata": { "ExecuteTime": { "end_time": "2019-05-15T18:40:31.942920Z", "start_time": "2019-05-15T18:40:31.779950Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "00001++++++++++++++++++++00001 000011 30.7400 978 35\r\n", " 2011010106 62.11 -12.51 981.50 29.82 260.96\r\n", " 2011010112 61.74 -12.94 981.56 26.09 259.06\r\n", " 2011010118 61.13 -13.37 984.93 25.44 258.46\r\n", " 2011010200 60.56 -13.48 982.56 28.95 260.55\r\n", " 2011010206 60.27 -14.09 982.00 30.74 260.29\r\n", " 2011010212 59.60 -14.77 979.70 26.21 260.38\r\n", " 2011010218 59.22 -15.20 982.18 28.45 260.11\r\n", " 2011010300 58.62 -15.94 978.84 27.58 261.18\r\n", " 2011010306 58.34 -16.39 980.39 30.33 260.57\r\n", " 2011010312 58.06 -17.03 982.40 25.73 260.51\r\n", " 2011010318 58.10 -17.63 981.37 27.75 260.39\r\n", " 2011010400 57.87 -18.05 980.03 26.99 260.07\r\n", " 2011010406 57.73 -18.65 982.08 28.00 260.45\r\n", " 2011010412 57.73 -19.46 982.41 26.67 259.61\r\n", " 2011010418 57.73 -20.16 985.28 26.52 257.87\r\n", " 2011010500 57.72 -20.74 983.11 25.45 258.70\r\n", " 2011010506 57.86 -21.44 983.65 27.16 259.38\r\n", " 2011010512 58.06 -22.25 980.93 27.45 260.35\r\n", " 2011010518 58.19 -22.86 986.11 27.11 258.53\r\n", " 2011010600 58.13 -23.70 986.72 23.80 257.60\r\n", " 2011010606 57.92 -24.69 988.44 22.18 -1.00\r\n", " 2011010612 58.09 -26.00 987.74 23.75 256.70\r\n", " 2011010618 58.19 -27.30 988.79 24.47 255.66\r\n", " 2011010700 58.58 -28.32 989.65 21.79 254.51\r\n", " 2011010706 59.64 -29.38 991.06 21.01 255.62\r\n", " 2011010712 61.29 -30.32 990.97 21.23 254.70\r\n", " 2011010718 62.96 -30.83 995.01 19.92 253.41\r\n", " 2011010800 64.54 -30.98 998.12 21.68 -1.00\r\n", " 2011010806 66.01 -30.90 1001.26 20.43 253.18\r\n", " 2011010812 67.00 -30.81 1001.13 20.21 -1.00\r\n", " 2011010818 67.14 -30.36 1005.19 19.54 -1.00\r\n", " 2011010900 66.64 -30.09 1006.11 16.08 -1.00\r\n", " 2011010906 65.74 -30.39 1008.31 13.06 -1.00\r\n", " 2011010912 65.03 -31.12 1007.57 11.09 -1.00\r\n", " 2011010918 64.51 -32.32 1008.94 12.36 -1.00\r\n", "00002++++++++++++++++++++00002 000117 31.2900 982 28\r\n", " 2011010612 85.00 2.11 1001.42 15.34 -1.00\r\n", " 2011010618 85.83 4.00 1002.35 19.49 -1.00\r\n", " 2011010700 87.17 2.82 1001.35 17.48 257.02\r\n", " 2011010706 87.68 4.07 1000.53 14.85 257.01\r\n", " 2011010712 87.12 4.46 996.91 21.67 261.51\r\n", " 2011010718 87.59 5.15 993.84 25.14 259.16\r\n", " 2011010800 87.41 5.79 991.98 22.34 257.70\r\n", " 2011010806 87.68 6.36 990.94 25.59 258.74\r\n", " 2011010812 87.90 7.11 985.96 30.17 259.02\r\n", " 2011010818 88.04 7.77 985.08 30.08 260.05\r\n", " 2011010900 88.16 8.25 982.71 31.29 259.26\r\n", " 2011010906 88.17 8.82 985.41 27.26 259.97\r\n", " 2011010912 88.17 9.06 986.53 27.14 258.78\r\n" ] } ], "source": [ "!head -n50 /tigress/wenchang/MODEL_OUT/CTL1860_noleap_tigercpu_intelmpi_18_576PE/analysis_lmh/cyclones_gav_ro110_1C_330k/atmos_11_11/Harris.TC/lmh_TCtrack_ts_4x.dat.warm.h29_25.TS.world.20110101-20120101.txt" ] }, { "cell_type": "code", "execution_count": 312, "metadata": { "ExecuteTime": { "end_time": "2019-05-16T16:57:44.330249Z", "start_time": "2019-05-16T16:57:44.285037Z" } }, "outputs": [], "source": [ "# ifile = None\n", "ifile = '/tigress/wenchang/MODEL_OUT/CTL1860_noleap_tigercpu_intelmpi_18_576PE/analysis_lmh/cyclones_gav_ro110_1C_330k/atmos_12_12/Harris.TC/lmh_TCtrack_ts_4x.dat.warm.h29_25.TS.world.20120101-20130101.txt'\n", "\n", "# names = None\n", "names = ('time', 'lon', 'lat', 'slp', 'vmax', 'tm')\n", "\n", "# mon_start = None\n", "# mon_end = 6\n", "\n", "lon_edges = None\n", "if lon_edges is None:\n", " lon_edges = np.arange(0,361)\n", "lon_centers = ( lon_edges[0:-1] + lon_edges[1:] )/2\n", "lon_range = (lon_edges[0], lon_edges[-1])\n", "\n", "lat_edges = None\n", "if lat_edges is None:\n", " lat_edges = np.arange(-60,61)\n", "lat_centers = ( lat_edges[0:-1] + lat_edges[1:] )/2\n", "lat_range = (lat_edges[0], lat_edges[-1])\n", "\n", "\n", "# use pandas to read the txt file\n", "df = pd.read_csv(ifile, sep='\\s+', names=names)\n", "# remove lines of track headers, i.e. lines with '+++'" ] }, { "cell_type": "code", "execution_count": 231, "metadata": { "ExecuteTime": { "end_time": "2019-05-16T14:33:04.311598Z", "start_time": "2019-05-16T14:33:04.293029Z" } }, "outputs": [ { "data": { "text/html": [ "
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timelonlatslpvmaxtm
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timelonlatslpmaxSpeedtm
39142011123100133.968.29997.6728.28258.92
39152011123106133.448.23993.6521.06258.59
39162011123112132.248.42990.8727.19260.09
39172011123118131.087.80989.1124.92258.27
39182012010100130.257.50992.5424.24259.23
\n", "
" ], "text/plain": [ " time lon lat slp maxSpeed tm\n", "3914 2011123100 133.96 8.29 997.67 28.28 258.92\n", "3915 2011123106 133.44 8.23 993.65 21.06 258.59\n", "3916 2011123112 132.24 8.42 990.87 27.19 260.09\n", "3917 2011123118 131.08 7.80 989.11 24.92 258.27\n", "3918 2012010100 130.25 7.50 992.54 24.24 259.23" ] }, "execution_count": 70, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.tail()" ] }, { "cell_type": "code", "execution_count": 313, "metadata": { "ExecuteTime": { "end_time": "2019-05-16T16:57:55.440590Z", "start_time": "2019-05-16T16:57:55.427361Z" } }, "outputs": [], "source": [ "L = np.array(['+++' in t for t in df.time])\n", "iSummaries = df.index[L]\n", "iStarts = iSummaries + 1\n", "iEnds = np.hstack( ( iSummaries[1:]-1, df.index[-1]))" ] }, { "cell_type": "code", "execution_count": 113, "metadata": { "ExecuteTime": { "end_time": "2019-05-15T19:53:01.027811Z", "start_time": "2019-05-15T19:53:00.944992Z" } }, "outputs": [], "source": [ "slp = np.zeros((200, 120)) + np.nan\n", "for i, (istart, iend) in enumerate(zip(iStarts, iEnds)):\n", " nsteps = iend + 1 - istart\n", " slp[i, :nsteps] = df.iloc[slice(istart, iend+1)]['slp']" ] }, { "cell_type": "code", "execution_count": 156, "metadata": { "ExecuteTime": { "end_time": "2019-05-15T20:34:32.475199Z", "start_time": "2019-05-15T20:34:32.303801Z" } }, "outputs": [], "source": [ "shape = (200, 120) # n_storms, n_steps\n", "dims = ('istorm', 'istep')\n", "coords = dict(istorm=np.arange(1,200+1), istep=np.arange(120))\n", "lat = np.zeros(shape) + np.nan\n", "lon = np.zeros(shape) + np.nan\n", "vmax = np.zeros(shape) + np.nan\n", "slp = np.zeros(shape) + np.nan\n", "month = np.zeros(shape) + np.nan\n", "day = np.zeros(shape) + np.nan\n", "hour = np.zeros(shape) + np.nan\n", "for i, (istart, iend) in enumerate(zip(iStarts, iEnds)):\n", " nsteps = iend + 1 - istart # number of steps along the track of a storm\n", " ilocs = slice(istart, iend+1)\n", " lat[i, :nsteps] = df.iloc[ilocs]['lat']\n", " lon[i, :nsteps] = df.iloc[ilocs]['lon']\n", " vmax[i, :nsteps] = df.iloc[ilocs]['maxSpeed']\n", " slp[i, :nsteps] = df.iloc[ilocs]['slp']\n", " time = df.iloc[ilocs]['time']\n", " month[i, :nsteps] = np.array([int(s[-6:-4]) for s in time])\n", " day[i, :nsteps] = np.array([int(s[-4:-2]) for s in time])\n", " hour[i, :nsteps] = np.array([int(s[-2:]) for s in time])\n", "lat = xr.DataArray(lat, dims=dims, coords=coords)\n", "lon = xr.DataArray(lon, dims=dims, coords=coords)\n", "vmax = xr.DataArray(vmax, dims=dims, coords=coords)\n", "slp = xr.DataArray(slp, dims=dims, coords=coords)\n", "month = xr.DataArray(month, dims=dims, coords=coords)\n", "day = xr.DataArray(day, dims=dims, coords=coords)\n", "hour = xr.DataArray(hour, dims=dims, coords=coords)\n", "ds = xr.Dataset(dict(lat=lat, lon=lon, vmax=vmax, slp=slp, month=month, day=day, hour=hour))" ] }, { "cell_type": "code", "execution_count": 157, "metadata": { "ExecuteTime": { "end_time": "2019-05-15T20:34:35.105949Z", "start_time": "2019-05-15T20:34:35.078096Z" } }, "outputs": [], "source": [ "ds0 = ds.sel(istep=0)" ] }, { "cell_type": "code", "execution_count": 158, "metadata": { "ExecuteTime": { "end_time": "2019-05-15T20:34:36.630750Z", "start_time": "2019-05-15T20:34:36.621698Z" } }, "outputs": [ { "data": { "text/plain": [ "\n", "Dimensions: (istorm: 200)\n", "Coordinates:\n", " * istorm (istorm) int64 1 2 3 4 5 6 7 8 ... 193 194 195 196 197 198 199 200\n", " istep int64 0\n", "Data variables:\n", " lat (istorm) float64 -12.51 2.11 3.21 -9.69 -12.49 ... nan nan nan nan\n", " lon (istorm) float64 62.11 85.0 126.3 118.5 59.0 ... nan nan nan nan\n", " vmax (istorm) float64 29.82 15.34 13.23 12.71 24.46 ... nan nan nan nan\n", " slp (istorm) float64 981.5 1.001e+03 1.003e+03 ... nan nan nan\n", " month (istorm) float64 1.0 1.0 1.0 1.0 1.0 1.0 ... nan nan nan nan nan\n", " day (istorm) float64 1.0 6.0 10.0 13.0 14.0 ... nan nan nan nan nan\n", " hour (istorm) float64 6.0 12.0 0.0 6.0 6.0 12.0 ... nan nan nan nan nan" ] }, "execution_count": 158, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds0" ] }, { "cell_type": "code", "execution_count": 164, "metadata": { "ExecuteTime": { "end_time": "2019-05-15T20:40:07.579073Z", "start_time": "2019-05-15T20:40:06.923085Z" } }, "outputs": [ { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "window.mpl = {};\n", "\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('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", "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 = $('
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"\n", "}\n", "\n", "mpl.figure.prototype._key_event_extra = function(event, name) {\n", " var manager = IPython.notebook.keyboard_manager;\n", " if (!manager)\n", " manager = IPython.keyboard_manager;\n", "\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which == 13) {\n", " this.canvas_div.blur();\n", " event.shiftKey = false;\n", " // Send a \"J\" for go to next cell\n", " event.which = 74;\n", " event.keyCode = 74;\n", " manager.command_mode();\n", " manager.handle_keydown(event);\n", " }\n", "}\n", "\n", "mpl.figure.prototype.handle_save = function(fig, msg) {\n", " fig.ondownload(fig, null);\n", "}\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= 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('matplotlib', mpl.mpl_figure_comm);\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds.pipe(anom).geo.cartoplot(figsize=(8, 3), proj_kws={'central_longitude': 200}, robust=True, levels=10)" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "ExecuteTime": { "end_time": "2019-05-14T21:32:50.698519Z", "start_time": "2019-05-14T21:32:50.689920Z" } }, "outputs": [ { "data": { "text/plain": [ "\n", "dask.array\n", "Coordinates:\n", " * xt (xt) float64 -279.5 -278.6 -277.6 -276.6 ... 76.64 77.6 78.56 79.52\n", " * yt (yt) float64 -81.5 -80.5 -79.5 -78.5 ... 78.0 78.35 78.62 78.78\n", " * time (time) object 0278-12-16 12:00:00 ... 0278-01-16 12:00:00\n", "Attributes:\n", " long_name: ice thickness\n", " units: m-ice\n", " cell_methods: time: mean\n", " time_avg_info: average_T1,average_T2,average_DT" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds.HI.isel(time=slice(-1,-13, -1))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2019-05-04" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "ExecuteTime": { "end_time": "2019-05-06T14:11:33.662956Z", "start_time": "2019-05-06T14:11:19.649817Z" }, "scrolled": true }, "outputs": [], "source": [ "ifile = '/home/wenchang/CM2.5/exp/m6p0sol_CTL1860/work/POSTP/*.ice_month.nc'\n", "ds = xr.open_mfdataset(ifile)" ] }, { "cell_type": "code", "execution_count": 66, "metadata": { "ExecuteTime": { "end_time": "2019-05-05T17:46:57.282913Z", "start_time": "2019-05-05T17:46:57.249275Z" } }, "outputs": [ { "data": { "text/plain": [ "\n", "Dimensions: (ct: 5, nv: 2, time: 1152, xb: 361, xt: 360, xv: 360, yb: 201, yt: 200, yv: 200)\n", "Coordinates:\n", " * xt (xt) float64 -279.5 -278.6 -277.6 -276.6 ... 77.6 78.56 79.52\n", " * xb (xb) float64 -280.0 -279.0 -278.1 -277.1 ... 78.08 79.04 80.0\n", " * yt (yt) float64 -81.5 -80.5 -79.5 -78.5 ... 78.0 78.35 78.62 78.78\n", " * yb (yb) float64 -82.0 -81.0 -80.0 -79.0 ... 78.2 78.51 78.73 78.83\n", " * nv (nv) float64 1.0 2.0\n", " * ct (ct) float64 0.0 0.1 0.3 0.7 1.1\n", " * xv (xv) float64 -279.0 -278.1 -277.1 -276.2 ... 78.08 79.04 80.0\n", " * yv (yv) float64 -81.0 -80.0 -79.0 -78.0 ... 78.2 78.51 78.73 78.83\n", " * time (time) object 0101-01-16 12:00:00 ... 0196-12-16 12:00:00\n", "Data variables:\n", " CELL_AREA (time, yt, xt) float32 dask.array\n", " COSROT (time, yt, xt) float32 dask.array\n", " GEOLAT (time, yt, xt) float32 dask.array\n", " GEOLON (time, yt, xt) float32 dask.array\n", " SINROT (time, yt, xt) float32 dask.array\n", " ALB (time, yt, xt) float32 dask.array\n", " BHEAT (time, yt, xt) float32 dask.array\n", " BMELT (time, yt, xt) float32 dask.array\n", " BSNK (time, yt, xt) float32 dask.array\n", " CALVING (time, yt, xt) float32 dask.array\n", " CN (time, ct, yt, xt) float32 dask.array\n", " EXT (time, yt, xt) float32 dask.array\n", " EXT_min (time, yt, xt) float32 dask.array\n", " EXT_max (time, yt, xt) float32 dask.array\n", " FA_X (time, yv, xv) float32 dask.array\n", " FA_Y (time, yv, xv) float32 dask.array\n", " FI_X (time, yv, xv) float32 dask.array\n", " FI_Y (time, yv, xv) float32 dask.array\n", " FRAZIL (time, yt, xt) float32 dask.array\n", " HI (time, yt, xt) float32 dask.array\n", " HS (time, yt, xt) float32 dask.array\n", " IX_TRANS (time, yt, xv) float32 dask.array\n", " IY_TRANS (time, yv, xt) float32 dask.array\n", " LH (time, yt, xt) float32 dask.array\n", " LSNK (time, yt, xt) float32 dask.array\n", " LSRC (time, yt, xt) float32 dask.array\n", " LW (time, yt, xt) float32 dask.array\n", " MI (time, yt, xt) float32 dask.array\n", " RAIN (time, yt, xt) float32 dask.array\n", " RUNOFF (time, yt, xt) float32 dask.array\n", " SALTF (time, yt, xt) float32 dask.array\n", " SH (time, yt, xt) float32 dask.array\n", " SNOWFL (time, yt, xt) float32 dask.array\n", " SN2IC (time, yt, xt) float32 dask.array\n", " SSH (time, yt, xt) float32 dask.array\n", " SSS (time, yt, xt) float32 dask.array\n", " SST (time, yt, xt) float32 dask.array\n", " SW (time, yt, xt) float32 dask.array\n", " TMELT (time, yt, xt) float32 dask.array\n", " TS (time, yt, xt) float32 dask.array\n", " T1 (time, yt, xt) float32 dask.array\n", " T2 (time, yt, xt) float32 dask.array\n", " UI (time, yv, xv) float32 dask.array\n", " VI (time, yv, xv) float32 dask.array\n", " UO (time, yv, xv) float32 dask.array\n", " VO (time, yv, xv) float32 dask.array\n", " XPRT (time, yt, xt) float32 dask.array\n", " average_T1 (time) object dask.array\n", " average_T2 (time) object dask.array\n", " average_DT (time) timedelta64[ns] dask.array\n", " time_bounds (time, nv) timedelta64[ns] dask.array\n", "Attributes:\n", " filename: ice_month.nc\n", " title: CM2.5_A_Control-1990_FLOR_B01\n", " grid_type: regular\n", " grid_tile: N/A" ] }, "execution_count": 66, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "ExecuteTime": { "end_time": "2019-05-06T14:08:41.491687Z", "start_time": "2019-05-06T14:08:41.472607Z" } }, "outputs": [], "source": [ "ds1 = ds.isel(time=0)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "ExecuteTime": { "end_time": "2019-05-06T14:08:44.394621Z", "start_time": "2019-05-06T14:08:44.056395Z" } }, "outputs": [ { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "window.mpl = {};\n", "\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('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", "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 = $('
');\n", " this._root_extra_style(this.root)\n", " this.root.attr('style', 'display: inline-block');\n", "\n", " $(parent_element).append(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 (mpl.ratio != 1) {\n", " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n", " '
');\n", " var titletext = $(\n", " '
');\n", " titlebar.append(titletext)\n", " this.root.append(titlebar);\n", " this.header = titletext[0];\n", "}\n", "\n", "\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "\n", "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "mpl.figure.prototype._init_canvas = function() {\n", " var fig = this;\n", "\n", " var canvas_div = $('
');\n", "\n", " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", "\n", " function canvas_keyboard_event(event) {\n", " return fig.key_event(event, event['data']);\n", " }\n", "\n", " canvas_div.keydown('key_press', canvas_keyboard_event);\n", " canvas_div.keyup('key_release', canvas_keyboard_event);\n", " this.canvas_div = canvas_div\n", " this._canvas_extra_style(canvas_div)\n", " this.root.append(canvas_div);\n", "\n", " var canvas = $('');\n", " canvas.addClass('mpl-canvas');\n", " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", "\n", " this.canvas = canvas[0];\n", " this.context = canvas[0].getContext(\"2d\");\n", "\n", " var backingStore = this.context.backingStorePixelRatio ||\n", "\tthis.context.webkitBackingStorePixelRatio ||\n", "\tthis.context.mozBackingStorePixelRatio ||\n", "\tthis.context.msBackingStorePixelRatio ||\n", "\tthis.context.oBackingStorePixelRatio ||\n", "\tthis.context.backingStorePixelRatio || 1;\n", "\n", " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband = $('');\n", " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", "\n", " var pass_mouse_events = true;\n", "\n", " canvas_div.resizable({\n", " start: function(event, ui) {\n", " pass_mouse_events = false;\n", " },\n", " resize: function(event, ui) {\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " stop: function(event, ui) {\n", " pass_mouse_events = true;\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " });\n", "\n", " function mouse_event_fn(event) {\n", " if (pass_mouse_events)\n", " return fig.mouse_event(event, event['data']);\n", " }\n", "\n", " rubberband.mousedown('button_press', mouse_event_fn);\n", " rubberband.mouseup('button_release', mouse_event_fn);\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband.mousemove('motion_notify', mouse_event_fn);\n", "\n", " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", "\n", " canvas_div.on(\"wheel\", function (event) {\n", " event = event.originalEvent;\n", " event['data'] = 'scroll'\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " mouse_event_fn(event);\n", " });\n", "\n", " canvas_div.append(canvas);\n", " canvas_div.append(rubberband);\n", "\n", " this.rubberband = rubberband;\n", " this.rubberband_canvas = rubberband[0];\n", " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", " this.rubberband_context.strokeStyle = \"#000000\";\n", "\n", " this._resize_canvas = function(width, height) {\n", " // Keep the size of the canvas, canvas container, and rubber band\n", " // canvas in synch.\n", " canvas_div.css('width', width)\n", " canvas_div.css('height', height)\n", "\n", " canvas.attr('width', width * mpl.ratio);\n", " canvas.attr('height', height * mpl.ratio);\n", " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", "\n", " rubberband.attr('width', width);\n", " rubberband.attr('height', height);\n", " }\n", "\n", " // Set the figure to an initial 600x600px, this will subsequently be updated\n", " // upon first draw.\n", " this._resize_canvas(600, 600);\n", "\n", " // Disable right mouse context menu.\n", " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('
')\n", " nav_element.attr('style', 'width: 100%');\n", " this.root.append(nav_element);\n", "\n", " // Define a callback function for later on.\n", " function toolbar_event(event) {\n", " return fig.toolbar_button_onclick(event['data']);\n", " }\n", " function toolbar_mouse_event(event) {\n", " return fig.toolbar_button_onmouseover(event['data']);\n", " }\n", "\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", " // put a spacer in here.\n", " continue;\n", " }\n", " var button = $('');\n", " button.click(method_name, toolbar_event);\n", " button.mouseover(tooltip, toolbar_mouse_event);\n", " nav_element.append(button);\n", " }\n", "\n", " // Add the status bar.\n", " var status_bar = $('');\n", " nav_element.append(status_bar);\n", " this.message = status_bar[0];\n", "\n", " // Add the close button to the window.\n", " var buttongrp = $('
');\n", " var button = $('');\n", " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", " buttongrp.append(button);\n", " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", " titlebar.prepend(buttongrp);\n", "}\n", "\n", "mpl.figure.prototype._root_extra_style = function(el){\n", " var fig = this\n", " el.on(\"remove\", function(){\n", "\tfig.close_ws(fig, {});\n", " });\n", "}\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(el){\n", " // this is important to make the div 'focusable\n", " el.attr('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", " }\n", " else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "\n", "}\n", "\n", "mpl.figure.prototype._key_event_extra = function(event, name) {\n", " var manager = IPython.notebook.keyboard_manager;\n", " if (!manager)\n", " manager = IPython.keyboard_manager;\n", "\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which == 13) {\n", " this.canvas_div.blur();\n", " event.shiftKey = false;\n", " // Send a \"J\" for go to next cell\n", " event.which = 74;\n", " event.keyCode = 74;\n", " manager.command_mode();\n", " manager.handle_keydown(event);\n", " }\n", "}\n", "\n", "mpl.figure.prototype.handle_save = function(fig, msg) {\n", " fig.ondownload(fig, null);\n", "}\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= 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('matplotlib', mpl.mpl_figure_comm);\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 132, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds1.HI.plot(vmax=3)" ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "ExecuteTime": { "end_time": "2019-05-06T21:26:33.161332Z", "start_time": "2019-05-06T21:26:33.156580Z" } }, "outputs": [], "source": [ "from pycesmLE.displacedpole2lonlat.arraylib import f_tji2tlatlon\n", "def to_lonlat(da):\n", " '''convert from tri-polar grids to lon-lat grids'''\n", " f_tji = da.data\n", " lon_ji = ds.isel(time=0).GEOLON.values\n", " lat_ji = ds.isel(time=0).GEOLAT.values\n", " lon_vec = np.arange(-279.5, 80, 1)#da.xt.values\n", " lat_vec = np.arange(-81, 91, 1)#np.hstack( (da.yt.values, np.arange(79,90) ))\n", "\n", " f_tlatlon = f_tji2tlatlon(f_tji, lon_ji, lat_ji, lon_vec, lat_vec)\n", " \n", " da_lonlat = xr.DataArray(f_tlatlon, dims=['time', 'lat', 'lon'],\n", " coords={'time': da.time,\n", " 'lat': lat_vec,\n", " 'lon': lon_vec})\n", " return da_lonlat" ] }, { "cell_type": "code", "execution_count": 37, "metadata": { "ExecuteTime": { "end_time": "2019-05-06T21:25:27.103925Z", "start_time": "2019-05-06T21:25:25.034934Z" } }, "outputs": [ { "data": { "text/plain": [ "\n", "array([[nan, nan, nan, ..., nan, nan, nan],\n", " [nan, nan, nan, ..., nan, nan, nan],\n", " [nan, nan, nan, ..., nan, nan, nan],\n", " ...,\n", " [nan, nan, nan, ..., nan, nan, nan],\n", " [nan, nan, nan, ..., nan, nan, nan],\n", " [nan, nan, nan, ..., nan, nan, nan]])\n", "Coordinates:\n", " time object 0101-01-16 12:00:00\n", " * lat (lat) int64 -81 -80 -79 -78 -77 -76 -75 ... 84 85 86 87 88 89 90\n", " * lon (lon) int64 -280 -279 -278 -277 -276 -275 ... 75 76 77 78 79 80" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" } ], "source": [ "da = ds.HI.isel(time=slice(0,2)).pipe(to_lonlat) \\\n", " .isel(time=0)\n", "da" ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "ExecuteTime": { "end_time": "2019-05-06T21:26:38.597947Z", "start_time": "2019-05-06T21:26:35.982655Z" }, "scrolled": false }, "outputs": [ { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "window.mpl = {};\n", "\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('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", "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 = $('
');\n", " this._root_extra_style(this.root)\n", " this.root.attr('style', 'display: inline-block');\n", "\n", " $(parent_element).append(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 (mpl.ratio != 1) {\n", " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n", " '
');\n", " var titletext = $(\n", " '
');\n", " titlebar.append(titletext)\n", " this.root.append(titlebar);\n", " this.header = titletext[0];\n", "}\n", "\n", "\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "\n", "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "mpl.figure.prototype._init_canvas = function() {\n", " var fig = this;\n", "\n", " var canvas_div = $('
');\n", "\n", " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", "\n", " function canvas_keyboard_event(event) {\n", " return fig.key_event(event, event['data']);\n", " }\n", "\n", " canvas_div.keydown('key_press', canvas_keyboard_event);\n", " canvas_div.keyup('key_release', canvas_keyboard_event);\n", " this.canvas_div = canvas_div\n", " this._canvas_extra_style(canvas_div)\n", " this.root.append(canvas_div);\n", "\n", " var canvas = $('');\n", " canvas.addClass('mpl-canvas');\n", " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", "\n", " this.canvas = canvas[0];\n", " this.context = canvas[0].getContext(\"2d\");\n", "\n", " var backingStore = this.context.backingStorePixelRatio ||\n", "\tthis.context.webkitBackingStorePixelRatio ||\n", "\tthis.context.mozBackingStorePixelRatio ||\n", "\tthis.context.msBackingStorePixelRatio ||\n", "\tthis.context.oBackingStorePixelRatio ||\n", "\tthis.context.backingStorePixelRatio || 1;\n", "\n", " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband = $('');\n", " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", "\n", " var pass_mouse_events = true;\n", "\n", " canvas_div.resizable({\n", " start: function(event, ui) {\n", " pass_mouse_events = false;\n", " },\n", " resize: function(event, ui) {\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " stop: function(event, ui) {\n", " pass_mouse_events = true;\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " });\n", "\n", " function mouse_event_fn(event) {\n", " if (pass_mouse_events)\n", " return fig.mouse_event(event, event['data']);\n", " }\n", "\n", " rubberband.mousedown('button_press', mouse_event_fn);\n", " rubberband.mouseup('button_release', mouse_event_fn);\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband.mousemove('motion_notify', mouse_event_fn);\n", "\n", " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", "\n", " canvas_div.on(\"wheel\", function (event) {\n", " event = event.originalEvent;\n", " event['data'] = 'scroll'\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " mouse_event_fn(event);\n", " });\n", "\n", " canvas_div.append(canvas);\n", " canvas_div.append(rubberband);\n", "\n", " this.rubberband = rubberband;\n", " this.rubberband_canvas = rubberband[0];\n", " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", " this.rubberband_context.strokeStyle = \"#000000\";\n", "\n", " this._resize_canvas = function(width, height) {\n", " // Keep the size of the canvas, canvas container, and rubber band\n", " // canvas in synch.\n", " canvas_div.css('width', width)\n", " canvas_div.css('height', height)\n", "\n", " canvas.attr('width', width * mpl.ratio);\n", " canvas.attr('height', height * mpl.ratio);\n", " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", "\n", " rubberband.attr('width', width);\n", " rubberband.attr('height', height);\n", " }\n", "\n", " // Set the figure to an initial 600x600px, this will subsequently be updated\n", " // upon first draw.\n", " this._resize_canvas(600, 600);\n", "\n", " // Disable right mouse context menu.\n", " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('
')\n", " nav_element.attr('style', 'width: 100%');\n", " this.root.append(nav_element);\n", "\n", " // Define a callback function for later on.\n", " function toolbar_event(event) {\n", " return fig.toolbar_button_onclick(event['data']);\n", " }\n", " function toolbar_mouse_event(event) {\n", " return fig.toolbar_button_onmouseover(event['data']);\n", " }\n", "\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", " // put a spacer in here.\n", " continue;\n", " }\n", " var button = $('');\n", " button.click(method_name, toolbar_event);\n", " button.mouseover(tooltip, toolbar_mouse_event);\n", " nav_element.append(button);\n", " }\n", "\n", " // Add the status bar.\n", " var status_bar = $('');\n", " nav_element.append(status_bar);\n", " this.message = status_bar[0];\n", "\n", " // Add the close button to the window.\n", " var buttongrp = $('
');\n", " var button = $('');\n", " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", " buttongrp.append(button);\n", " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", " titlebar.prepend(buttongrp);\n", "}\n", "\n", "mpl.figure.prototype._root_extra_style = function(el){\n", " var fig = this\n", " el.on(\"remove\", function(){\n", "\tfig.close_ws(fig, {});\n", " });\n", "}\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(el){\n", " // this is important to make the div 'focusable\n", " el.attr('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", " }\n", " else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "\n", "}\n", "\n", "mpl.figure.prototype._key_event_extra = function(event, name) {\n", " var manager = IPython.notebook.keyboard_manager;\n", " if (!manager)\n", " manager = IPython.keyboard_manager;\n", "\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which == 13) {\n", " this.canvas_div.blur();\n", " event.shiftKey = false;\n", " // Send a \"J\" for go to next cell\n", " event.which = 74;\n", " event.keyCode = 74;\n", " manager.command_mode();\n", " manager.handle_keydown(event);\n", " }\n", "}\n", "\n", "mpl.figure.prototype.handle_save = function(fig, msg) {\n", " fig.ondownload(fig, null);\n", "}\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= 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('matplotlib', mpl.mpl_figure_comm);\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 130, "metadata": {}, "output_type": "execute_result" } ], "source": [ "da.isel(time=0).plot(vmax=3)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2019-05-03" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "ExecuteTime": { "end_time": "2019-05-04T02:44:03.268504Z", "start_time": "2019-05-04T02:43:42.043180Z" } }, "outputs": [ { "data": { "text/plain": [ "\n", "Dimensions: (bnds: 2, lat: 360, lon: 576, pfull: 32, phalf: 33, time: 1032)\n", "Coordinates:\n", " * lat (lat) float64 -89.75 -89.25 -88.75 ... 88.75 89.25 89.75\n", " * lon (lon) float64 0.3125 0.9375 1.562 ... 358.4 359.1 359.7\n", " * pfull (pfull) float64 2.164 5.845 10.75 ... 976.7 987.4 996.1\n", " * phalf (phalf) float64 1.0 4.0 8.186 ... 982.6 992.2 1e+03\n", " * time (time) object 0101-01-16 12:00:00 ... 0186-12-16 12:00:00\n", "Dimensions without coordinates: bnds\n", "Data variables:\n", " time_bounds (time, bnds) timedelta64[ns] dask.array\n", " grid_yt_bnds (time, lat, bnds) float64 dask.array\n", " grid_xt_bnds (time, lon, bnds) float64 dask.array\n", " drag_heat (time, lat, lon) float32 dask.array\n", " drag_moist (time, lat, lon) float32 dask.array\n", " drag_mom (time, lat, lon) float32 dask.array\n", " evap (time, lat, lon) float32 dask.array\n", " ice_mask (time, lat, lon) float32 dask.array\n", " land_mask (time, lat, lon) float32 dask.array\n", " lwflx (time, lat, lon) float32 dask.array\n", " rh_ref (time, lat, lon) float32 dask.array\n", " shflx (time, lat, lon) float32 dask.array\n", " tau_x (time, lat, lon) float32 dask.array\n", " tau_y (time, lat, lon) float32 dask.array\n", " t_ref (time, lat, lon) float32 dask.array\n", " t_ref_min (time, lat, lon) float32 dask.array\n", " t_ref_max (time, lat, lon) float32 dask.array\n", " t_surf (time, lat, lon) float32 dask.array\n", " u_ref (time, lat, lon) float32 dask.array\n", " v_ref (time, lat, lon) float32 dask.array\n", " wind (time, lat, lon) float32 dask.array\n", " area (time, lat, lon) float32 dask.array\n", " zsurf (time, lat, lon) float32 dask.array\n", " cld_amt (time, pfull, lat, lon) float32 dask.array\n", " ice_wat (time, pfull, lat, lon) float32 dask.array\n", " liq_wat (time, pfull, lat, lon) float32 dask.array\n", " omega (time, pfull, lat, lon) float32 dask.array\n", " ps (time, lat, lon) float32 dask.array\n", " sphum (time, pfull, lat, lon) float32 dask.array\n", " temp (time, pfull, lat, lon) float32 dask.array\n", " ucomp (time, pfull, lat, lon) float32 dask.array\n", " vcomp (time, pfull, lat, lon) float32 dask.array\n", " cat15 (time, lat, lon) float32 dask.array\n", " cat15_max (time, lat, lon) float32 dask.array\n", " f15 (time, lat, lon) float32 dask.array\n", " vort850 (time, lat, lon) float32 dask.array\n", " slp (time, lat, lon) float32 dask.array\n", " z_full (time, pfull, lat, lon) float32 dask.array\n", " h850 (time, lat, lon) float32 dask.array\n", " t850 (time, lat, lon) float32 dask.array\n", " q850 (time, lat, lon) float32 dask.array\n", " u850 (time, lat, lon) float32 dask.array\n", " v850 (time, lat, lon) float32 dask.array\n", " h700 (time, lat, lon) float32 dask.array\n", " t700 (time, lat, lon) float32 dask.array\n", " q700 (time, lat, lon) float32 dask.array\n", " u700 (time, lat, lon) float32 dask.array\n", " v700 (time, lat, lon) float32 dask.array\n", " h200 (time, lat, lon) float32 dask.array\n", " t200 (time, lat, lon) float32 dask.array\n", " q200 (time, lat, lon) float32 dask.array\n", " u200 (time, lat, lon) float32 dask.array\n", " v200 (time, lat, lon) float32 dask.array\n", " prec_conv (time, lat, lon) float32 dask.array\n", " snow_tot (time, lat, lon) float32 dask.array\n", " snow_conv (time, lat, lon) float32 dask.array\n", " prec_ls (time, lat, lon) float32 dask.array\n", " snow_ls (time, lat, lon) float32 dask.array\n", " IWP (time, lat, lon) float32 dask.array\n", " LWP (time, lat, lon) float32 dask.array\n", " precip (time, lat, lon) float32 dask.array\n", " qdt_conv (time, pfull, lat, lon) float32 dask.array\n", " tdt_conv (time, pfull, lat, lon) float32 dask.array\n", " qdt_ls (time, pfull, lat, lon) float32 dask.array\n", " rh (time, pfull, lat, lon) float32 dask.array\n", " tdt_ls (time, pfull, lat, lon) float32 dask.array\n", " WVP (time, lat, lon) float32 dask.array\n", " mc (time, phalf, lat, lon) float32 dask.array\n", " alb_sfc (time, lat, lon) float32 dask.array\n", " lwdn_sfc (time, lat, lon) float32 dask.array\n", " lwup_sfc (time, lat, lon) float32 dask.array\n", " netrad_toa (time, lat, lon) float32 dask.array\n", " olr (time, lat, lon) float32 dask.array\n", " qo3 (time, pfull, lat, lon) float32 dask.array\n", " qo3_col (time, lat, lon) float32 dask.array\n", " swdn_sfc (time, lat, lon) float32 dask.array\n", " swup_sfc (time, lat, lon) float32 dask.array\n", " swdn_toa (time, lat, lon) float32 dask.array\n", " swup_toa (time, lat, lon) float32 dask.array\n", " tdt_lw (time, pfull, lat, lon) float32 dask.array\n", " tdt_sw (time, pfull, lat, lon) float32 dask.array\n", " lwdn_sfc_clr (time, lat, lon) float32 dask.array\n", " lwup_sfc_clr (time, lat, lon) float32 dask.array\n", " netrad_toa_clr (time, lat, lon) float32 dask.array\n", " olr_clr (time, lat, lon) float32 dask.array\n", " swdn_sfc_clr (time, lat, lon) float32 dask.array\n", " swup_sfc_clr (time, lat, lon) float32 dask.array\n", " swdn_toa_clr (time, lat, lon) float32 dask.array\n", " swup_toa_clr (time, lat, lon) float32 dask.array\n", " tdt_lw_clr (time, pfull, lat, lon) float32 dask.array\n", " tdt_sw_clr (time, pfull, lat, lon) float32 dask.array\n", " netlw_lin_trop (time, lat, lon) float32 dask.array\n", " netlw_200hPa (time, lat, lon) float32 dask.array\n", " swdn_lin_trop (time, lat, lon) float32 dask.array\n", " swdn_200hPa (time, lat, lon) float32 dask.array\n", " swup_200hPa (time, lat, lon) float32 dask.array\n", " swup_lin_trop (time, lat, lon) float32 dask.array\n", " netlw_lin_trop_clr (time, lat, lon) float32 dask.array\n", " netlw_200hPa_clr (time, lat, lon) float32 dask.array\n", " swdn_lin_trop_clr (time, lat, lon) float32 dask.array\n", " swdn_200hPa_clr (time, lat, lon) float32 dask.array\n", " swup_lin_trop_clr (time, lat, lon) float32 dask.array\n", " swup_200hPa_clr (time, lat, lon) float32 dask.array\n", " high_cld_amt (time, lat, lon) float32 dask.array\n", " low_cld_amt (time, lat, lon) float32 dask.array\n", " mid_cld_amt (time, lat, lon) float32 dask.array\n", " tot_cld_amt (time, lat, lon) float32 dask.array\n", " taubx (time, lat, lon) float32 dask.array\n", " tauby (time, lat, lon) float32 dask.array\n", " average_T1 (time) object dask.array\n", " average_T2 (time) object dask.array\n", " average_DT (time) timedelta64[ns] dask.array\n", "Attributes:\n", " filename: atmos_month.tile1.nc\n", " title: CM2.5_A_Control-1990_FLOR_B01\n", " grid_type: regular\n", " grid_tile: N/A\n", " history: /tigress/wenchang/CM2.5_tiger2_wy/CM2.5/bin/fregrid_parall...\n", " code_version: $Name: tikal_201409 $" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ifile = '/home/wenchang/CM2.5/exp/m6p0sol_CTL1860/work/POSTP/*.atmos_month.nc'\n", "ds = xr.open_mfdataset(ifile).rename({'grid_xt': 'lon', 'grid_yt': 'lat'})\n", "ds" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "ExecuteTime": { "end_time": "2019-05-04T02:47:08.398772Z", "start_time": "2019-05-04T02:46:55.799046Z" } }, "outputs": [], "source": [ "da = ds.t_surf.pipe(lambda x: x.sel(time=slice('0171', '0180')).mean('time')\n", " - x.sel(time=slice('0101', '0120')).mean('time')).load()" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "ExecuteTime": { "end_time": "2019-05-04T02:48:00.557064Z", "start_time": "2019-05-04T02:48:00.344397Z" } }, "outputs": [ { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "window.mpl = {};\n", "\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('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", "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 = $('
');\n", " this._root_extra_style(this.root)\n", " this.root.attr('style', 'display: inline-block');\n", "\n", " $(parent_element).append(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 (mpl.ratio != 1) {\n", " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n", " '
');\n", " var titletext = $(\n", " '
');\n", " titlebar.append(titletext)\n", " this.root.append(titlebar);\n", " this.header = titletext[0];\n", "}\n", "\n", "\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "\n", "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "mpl.figure.prototype._init_canvas = function() {\n", " var fig = this;\n", "\n", " var canvas_div = $('
');\n", "\n", " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", "\n", " function canvas_keyboard_event(event) {\n", " return fig.key_event(event, event['data']);\n", " }\n", "\n", " canvas_div.keydown('key_press', canvas_keyboard_event);\n", " canvas_div.keyup('key_release', canvas_keyboard_event);\n", " this.canvas_div = canvas_div\n", " this._canvas_extra_style(canvas_div)\n", " this.root.append(canvas_div);\n", "\n", " var canvas = $('');\n", " canvas.addClass('mpl-canvas');\n", " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", "\n", " this.canvas = canvas[0];\n", " this.context = canvas[0].getContext(\"2d\");\n", "\n", " var backingStore = this.context.backingStorePixelRatio ||\n", "\tthis.context.webkitBackingStorePixelRatio ||\n", "\tthis.context.mozBackingStorePixelRatio ||\n", "\tthis.context.msBackingStorePixelRatio ||\n", "\tthis.context.oBackingStorePixelRatio ||\n", "\tthis.context.backingStorePixelRatio || 1;\n", "\n", " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband = $('');\n", " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", "\n", " var pass_mouse_events = true;\n", "\n", " canvas_div.resizable({\n", " start: function(event, ui) {\n", " pass_mouse_events = false;\n", " },\n", " resize: function(event, ui) {\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " stop: function(event, ui) {\n", " pass_mouse_events = true;\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " });\n", "\n", " function mouse_event_fn(event) {\n", " if (pass_mouse_events)\n", " return fig.mouse_event(event, event['data']);\n", " }\n", "\n", " rubberband.mousedown('button_press', mouse_event_fn);\n", " rubberband.mouseup('button_release', mouse_event_fn);\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband.mousemove('motion_notify', mouse_event_fn);\n", "\n", " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", "\n", " canvas_div.on(\"wheel\", function (event) {\n", " event = event.originalEvent;\n", " event['data'] = 'scroll'\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " mouse_event_fn(event);\n", " });\n", "\n", " canvas_div.append(canvas);\n", " canvas_div.append(rubberband);\n", "\n", " this.rubberband = rubberband;\n", " this.rubberband_canvas = rubberband[0];\n", " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", " this.rubberband_context.strokeStyle = \"#000000\";\n", "\n", " this._resize_canvas = function(width, height) {\n", " // Keep the size of the canvas, canvas container, and rubber band\n", " // canvas in synch.\n", " canvas_div.css('width', width)\n", " canvas_div.css('height', height)\n", "\n", " canvas.attr('width', width * mpl.ratio);\n", " canvas.attr('height', height * mpl.ratio);\n", " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", "\n", " rubberband.attr('width', width);\n", " rubberband.attr('height', height);\n", " }\n", "\n", " // Set the figure to an initial 600x600px, this will subsequently be updated\n", " // upon first draw.\n", " this._resize_canvas(600, 600);\n", "\n", " // Disable right mouse context menu.\n", " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('
')\n", " nav_element.attr('style', 'width: 100%');\n", " this.root.append(nav_element);\n", "\n", " // Define a callback function for later on.\n", " function toolbar_event(event) {\n", " return fig.toolbar_button_onclick(event['data']);\n", " }\n", " function toolbar_mouse_event(event) {\n", " return fig.toolbar_button_onmouseover(event['data']);\n", " }\n", "\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", " // put a spacer in here.\n", " continue;\n", " }\n", " var button = $('');\n", " button.click(method_name, toolbar_event);\n", " button.mouseover(tooltip, toolbar_mouse_event);\n", " nav_element.append(button);\n", " }\n", "\n", " // Add the status bar.\n", " var status_bar = $('');\n", " nav_element.append(status_bar);\n", " this.message = status_bar[0];\n", "\n", " // Add the close button to the window.\n", " var buttongrp = $('
');\n", " var button = $('');\n", " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", " buttongrp.append(button);\n", " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", " titlebar.prepend(buttongrp);\n", "}\n", "\n", "mpl.figure.prototype._root_extra_style = function(el){\n", " var fig = this\n", " el.on(\"remove\", function(){\n", "\tfig.close_ws(fig, {});\n", " });\n", "}\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(el){\n", " // this is important to make the div 'focusable\n", " el.attr('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", " }\n", " else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "\n", "}\n", "\n", "mpl.figure.prototype._key_event_extra = function(event, name) {\n", " var manager = IPython.notebook.keyboard_manager;\n", " if (!manager)\n", " manager = IPython.keyboard_manager;\n", "\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which == 13) {\n", " this.canvas_div.blur();\n", " event.shiftKey = false;\n", " // Send a \"J\" for go to next cell\n", " event.which = 74;\n", " event.keyCode = 74;\n", " manager.command_mode();\n", " manager.handle_keydown(event);\n", " }\n", "}\n", "\n", "mpl.figure.prototype.handle_save = function(fig, msg) {\n", " fig.ondownload(fig, null);\n", "}\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= 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('matplotlib', mpl.mpl_figure_comm);\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "da.plot(robust=True, cmap='BrBG')\n", "mapplot()" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "ExecuteTime": { "end_time": "2019-05-04T03:00:05.822770Z", "start_time": "2019-05-04T02:59:51.952602Z" }, "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "\n", "Dimensions: (ct: 5, nv: 2, time: 1032, xb: 361, xt: 360, xv: 360, yb: 201, yt: 200, yv: 200)\n", "Coordinates:\n", " * xt (xt) float64 -279.5 -278.6 -277.6 -276.6 ... 77.6 78.56 79.52\n", " * xb (xb) float64 -280.0 -279.0 -278.1 -277.1 ... 78.08 79.04 80.0\n", " * yt (yt) float64 -81.5 -80.5 -79.5 -78.5 ... 78.0 78.35 78.62 78.78\n", " * yb (yb) float64 -82.0 -81.0 -80.0 -79.0 ... 78.2 78.51 78.73 78.83\n", " * nv (nv) float64 1.0 2.0\n", " * ct (ct) float64 0.0 0.1 0.3 0.7 1.1\n", " * xv (xv) float64 -279.0 -278.1 -277.1 -276.2 ... 78.08 79.04 80.0\n", " * yv (yv) float64 -81.0 -80.0 -79.0 -78.0 ... 78.2 78.51 78.73 78.83\n", " * time (time) object 0101-01-16 12:00:00 ... 0186-12-16 12:00:00\n", "Data variables:\n", " CELL_AREA (time, yt, xt) float32 dask.array\n", " COSROT (time, yt, xt) float32 dask.array\n", " GEOLAT (time, yt, xt) float32 dask.array\n", " GEOLON (time, yt, xt) float32 dask.array\n", " SINROT (time, yt, xt) float32 dask.array\n", " ALB (time, yt, xt) float32 dask.array\n", " BHEAT (time, yt, xt) float32 dask.array\n", " BMELT (time, yt, xt) float32 dask.array\n", " BSNK (time, yt, xt) float32 dask.array\n", " CALVING (time, yt, xt) float32 dask.array\n", " CN (time, ct, yt, xt) float32 dask.array\n", " EXT (time, yt, xt) float32 dask.array\n", " EXT_min (time, yt, xt) float32 dask.array\n", " EXT_max (time, yt, xt) float32 dask.array\n", " FA_X (time, yv, xv) float32 dask.array\n", " FA_Y (time, yv, xv) float32 dask.array\n", " FI_X (time, yv, xv) float32 dask.array\n", " FI_Y (time, yv, xv) float32 dask.array\n", " FRAZIL (time, yt, xt) float32 dask.array\n", " HI (time, yt, xt) float32 dask.array\n", " HS (time, yt, xt) float32 dask.array\n", " IX_TRANS (time, yt, xv) float32 dask.array\n", " IY_TRANS (time, yv, xt) float32 dask.array\n", " LH (time, yt, xt) float32 dask.array\n", " LSNK (time, yt, xt) float32 dask.array\n", " LSRC (time, yt, xt) float32 dask.array\n", " LW (time, yt, xt) float32 dask.array\n", " MI (time, yt, xt) float32 dask.array\n", " RAIN (time, yt, xt) float32 dask.array\n", " RUNOFF (time, yt, xt) float32 dask.array\n", " SALTF (time, yt, xt) float32 dask.array\n", " SH (time, yt, xt) float32 dask.array\n", " SNOWFL (time, yt, xt) float32 dask.array\n", " SN2IC (time, yt, xt) float32 dask.array\n", " SSH (time, yt, xt) float32 dask.array\n", " SSS (time, yt, xt) float32 dask.array\n", " SST (time, yt, xt) float32 dask.array\n", " SW (time, yt, xt) float32 dask.array\n", " TMELT (time, yt, xt) float32 dask.array\n", " TS (time, yt, xt) float32 dask.array\n", " T1 (time, yt, xt) float32 dask.array\n", " T2 (time, yt, xt) float32 dask.array\n", " UI (time, yv, xv) float32 dask.array\n", " VI (time, yv, xv) float32 dask.array\n", " UO (time, yv, xv) float32 dask.array\n", " VO (time, yv, xv) float32 dask.array\n", " XPRT (time, yt, xt) float32 dask.array\n", " average_T1 (time) object dask.array\n", " average_T2 (time) object dask.array\n", " average_DT (time) timedelta64[ns] dask.array\n", " time_bounds (time, nv) timedelta64[ns] dask.array\n", "Attributes:\n", " filename: ice_month.nc\n", " title: CM2.5_A_Control-1990_FLOR_B01\n", " grid_type: regular\n", " grid_tile: N/A" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ifile = '/home/wenchang/CM2.5/exp/m6p0sol_CTL1860/work/POSTP/*.ice_month.nc'\n", "ds = xr.open_mfdataset(ifile)\n", "ds" ] }, { "cell_type": "code", "execution_count": 49, "metadata": { "ExecuteTime": { "end_time": "2019-05-04T03:13:04.729632Z", "start_time": "2019-05-04T03:13:04.256099Z" } }, "outputs": [], "source": [ "da = ds.EXT.pipe(lambda x: x.sel(time=slice('0171', '0180')).mean('time')\n", " - x.sel(time=slice('0101', '0120')).mean('time')).load()" ] }, { "cell_type": "code", "execution_count": 51, "metadata": { "ExecuteTime": { "end_time": "2019-05-04T03:14:27.577541Z", "start_time": "2019-05-04T03:14:27.525335Z" } }, "outputs": [ { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "window.mpl = {};\n", "\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('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", "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 = $('
');\n", " this._root_extra_style(this.root)\n", " this.root.attr('style', 'display: inline-block');\n", "\n", " $(parent_element).append(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 (mpl.ratio != 1) {\n", " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n", " '
');\n", " var titletext = $(\n", " '
');\n", " titlebar.append(titletext)\n", " this.root.append(titlebar);\n", " this.header = titletext[0];\n", "}\n", "\n", "\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "\n", "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "mpl.figure.prototype._init_canvas = function() {\n", " var fig = this;\n", "\n", " var canvas_div = $('
');\n", "\n", " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", "\n", " function canvas_keyboard_event(event) {\n", " return fig.key_event(event, event['data']);\n", " }\n", "\n", " canvas_div.keydown('key_press', canvas_keyboard_event);\n", " canvas_div.keyup('key_release', canvas_keyboard_event);\n", " this.canvas_div = canvas_div\n", " this._canvas_extra_style(canvas_div)\n", " this.root.append(canvas_div);\n", "\n", " var canvas = $('');\n", " canvas.addClass('mpl-canvas');\n", " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", "\n", " this.canvas = canvas[0];\n", " this.context = canvas[0].getContext(\"2d\");\n", "\n", " var backingStore = this.context.backingStorePixelRatio ||\n", "\tthis.context.webkitBackingStorePixelRatio ||\n", "\tthis.context.mozBackingStorePixelRatio ||\n", "\tthis.context.msBackingStorePixelRatio ||\n", "\tthis.context.oBackingStorePixelRatio ||\n", "\tthis.context.backingStorePixelRatio || 1;\n", "\n", " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband = $('');\n", " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", "\n", " var pass_mouse_events = true;\n", "\n", " canvas_div.resizable({\n", " start: function(event, ui) {\n", " pass_mouse_events = false;\n", " },\n", " resize: function(event, ui) {\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " stop: function(event, ui) {\n", " pass_mouse_events = true;\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " });\n", "\n", " function mouse_event_fn(event) {\n", " if (pass_mouse_events)\n", " return fig.mouse_event(event, event['data']);\n", " }\n", "\n", " rubberband.mousedown('button_press', mouse_event_fn);\n", " rubberband.mouseup('button_release', mouse_event_fn);\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband.mousemove('motion_notify', mouse_event_fn);\n", "\n", " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", "\n", " canvas_div.on(\"wheel\", function (event) {\n", " event = event.originalEvent;\n", " event['data'] = 'scroll'\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " mouse_event_fn(event);\n", " });\n", "\n", " canvas_div.append(canvas);\n", " canvas_div.append(rubberband);\n", "\n", " this.rubberband = rubberband;\n", " this.rubberband_canvas = rubberband[0];\n", " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", " this.rubberband_context.strokeStyle = \"#000000\";\n", "\n", " this._resize_canvas = function(width, height) {\n", " // Keep the size of the canvas, canvas container, and rubber band\n", " // canvas in synch.\n", " canvas_div.css('width', width)\n", " canvas_div.css('height', height)\n", "\n", " canvas.attr('width', width * mpl.ratio);\n", " canvas.attr('height', height * mpl.ratio);\n", " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", "\n", " rubberband.attr('width', width);\n", " rubberband.attr('height', height);\n", " }\n", "\n", " // Set the figure to an initial 600x600px, this will subsequently be updated\n", " // upon first draw.\n", " this._resize_canvas(600, 600);\n", "\n", " // Disable right mouse context menu.\n", " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('
')\n", " nav_element.attr('style', 'width: 100%');\n", " this.root.append(nav_element);\n", "\n", " // Define a callback function for later on.\n", " function toolbar_event(event) {\n", " return fig.toolbar_button_onclick(event['data']);\n", " }\n", " function toolbar_mouse_event(event) {\n", " return fig.toolbar_button_onmouseover(event['data']);\n", " }\n", "\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", " // put a spacer in here.\n", " continue;\n", " }\n", " var button = $('');\n", " button.click(method_name, toolbar_event);\n", " button.mouseover(tooltip, toolbar_mouse_event);\n", " nav_element.append(button);\n", " }\n", "\n", " // Add the status bar.\n", " var status_bar = $('');\n", " nav_element.append(status_bar);\n", " this.message = status_bar[0];\n", "\n", " // Add the close button to the window.\n", " var buttongrp = $('
');\n", " var button = $('');\n", " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", " buttongrp.append(button);\n", " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", " titlebar.prepend(buttongrp);\n", "}\n", "\n", "mpl.figure.prototype._root_extra_style = function(el){\n", " var fig = this\n", " el.on(\"remove\", function(){\n", "\tfig.close_ws(fig, {});\n", " });\n", "}\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(el){\n", " // this is important to make the div 'focusable\n", " el.attr('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", " }\n", " else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "\n", "}\n", "\n", "mpl.figure.prototype._key_event_extra = function(event, name) {\n", " var manager = IPython.notebook.keyboard_manager;\n", " if (!manager)\n", " manager = IPython.keyboard_manager;\n", "\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which == 13) {\n", " this.canvas_div.blur();\n", " event.shiftKey = false;\n", " // Send a \"J\" for go to next cell\n", " event.which = 74;\n", " event.keyCode = 74;\n", " manager.command_mode();\n", " manager.handle_keydown(event);\n", " }\n", "}\n", "\n", "mpl.figure.prototype.handle_save = function(fig, msg) {\n", " fig.ondownload(fig, null);\n", "}\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= 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('matplotlib', mpl.mpl_figure_comm);\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "window.mpl = {};\n", "\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('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", "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 = $('
');\n", " this._root_extra_style(this.root)\n", " this.root.attr('style', 'display: inline-block');\n", "\n", " $(parent_element).append(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 (mpl.ratio != 1) {\n", " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n", " '
');\n", " var titletext = $(\n", " '
');\n", " titlebar.append(titletext)\n", " this.root.append(titlebar);\n", " this.header = titletext[0];\n", "}\n", "\n", "\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "\n", "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "mpl.figure.prototype._init_canvas = function() {\n", " var fig = this;\n", "\n", " var canvas_div = $('
');\n", "\n", " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", "\n", " function canvas_keyboard_event(event) {\n", " return fig.key_event(event, event['data']);\n", " }\n", "\n", " canvas_div.keydown('key_press', canvas_keyboard_event);\n", " canvas_div.keyup('key_release', canvas_keyboard_event);\n", " this.canvas_div = canvas_div\n", " this._canvas_extra_style(canvas_div)\n", " this.root.append(canvas_div);\n", "\n", " var canvas = $('');\n", " canvas.addClass('mpl-canvas');\n", " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", "\n", " this.canvas = canvas[0];\n", " this.context = canvas[0].getContext(\"2d\");\n", "\n", " var backingStore = this.context.backingStorePixelRatio ||\n", "\tthis.context.webkitBackingStorePixelRatio ||\n", "\tthis.context.mozBackingStorePixelRatio ||\n", "\tthis.context.msBackingStorePixelRatio ||\n", "\tthis.context.oBackingStorePixelRatio ||\n", "\tthis.context.backingStorePixelRatio || 1;\n", "\n", " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband = $('');\n", " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", "\n", " var pass_mouse_events = true;\n", "\n", " canvas_div.resizable({\n", " start: function(event, ui) {\n", " pass_mouse_events = false;\n", " },\n", " resize: function(event, ui) {\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " stop: function(event, ui) {\n", " pass_mouse_events = true;\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " });\n", "\n", " function mouse_event_fn(event) {\n", " if (pass_mouse_events)\n", " return fig.mouse_event(event, event['data']);\n", " }\n", "\n", " rubberband.mousedown('button_press', mouse_event_fn);\n", " rubberband.mouseup('button_release', mouse_event_fn);\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband.mousemove('motion_notify', mouse_event_fn);\n", "\n", " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", "\n", " canvas_div.on(\"wheel\", function (event) {\n", " event = event.originalEvent;\n", " event['data'] = 'scroll'\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " mouse_event_fn(event);\n", " });\n", "\n", " canvas_div.append(canvas);\n", " canvas_div.append(rubberband);\n", "\n", " this.rubberband = rubberband;\n", " this.rubberband_canvas = rubberband[0];\n", " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", " this.rubberband_context.strokeStyle = \"#000000\";\n", "\n", " this._resize_canvas = function(width, height) {\n", " // Keep the size of the canvas, canvas container, and rubber band\n", " // canvas in synch.\n", " canvas_div.css('width', width)\n", " canvas_div.css('height', height)\n", "\n", " canvas.attr('width', width * mpl.ratio);\n", " canvas.attr('height', height * mpl.ratio);\n", " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", "\n", " rubberband.attr('width', width);\n", " rubberband.attr('height', height);\n", " }\n", "\n", " // Set the figure to an initial 600x600px, this will subsequently be updated\n", " // upon first draw.\n", " this._resize_canvas(600, 600);\n", "\n", " // Disable right mouse context menu.\n", " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('
')\n", " nav_element.attr('style', 'width: 100%');\n", " this.root.append(nav_element);\n", "\n", " // Define a callback function for later on.\n", " function toolbar_event(event) {\n", " return fig.toolbar_button_onclick(event['data']);\n", " }\n", " function toolbar_mouse_event(event) {\n", " return fig.toolbar_button_onmouseover(event['data']);\n", " }\n", "\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", " // put a spacer in here.\n", " continue;\n", " }\n", " var button = $('');\n", " button.click(method_name, toolbar_event);\n", " button.mouseover(tooltip, toolbar_mouse_event);\n", " nav_element.append(button);\n", " }\n", "\n", " // Add the status bar.\n", " var status_bar = $('');\n", " nav_element.append(status_bar);\n", " this.message = status_bar[0];\n", "\n", " // Add the close button to the window.\n", " var buttongrp = $('
');\n", " var button = $('');\n", " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", " buttongrp.append(button);\n", " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", " titlebar.prepend(buttongrp);\n", "}\n", "\n", "mpl.figure.prototype._root_extra_style = function(el){\n", " var fig = this\n", " el.on(\"remove\", function(){\n", "\tfig.close_ws(fig, {});\n", " });\n", "}\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(el){\n", " // this is important to make the div 'focusable\n", " el.attr('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", " }\n", " else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "\n", "}\n", "\n", "mpl.figure.prototype._key_event_extra = function(event, name) {\n", " var manager = IPython.notebook.keyboard_manager;\n", " if (!manager)\n", " manager = IPython.keyboard_manager;\n", "\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which == 13) {\n", " this.canvas_div.blur();\n", " event.shiftKey = false;\n", " // Send a \"J\" for go to next cell\n", " event.which = 74;\n", " event.keyCode = 74;\n", " manager.command_mode();\n", " manager.handle_keydown(event);\n", " }\n", "}\n", "\n", "mpl.figure.prototype.handle_save = function(fig, msg) {\n", " fig.ondownload(fig, null);\n", "}\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= 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('matplotlib', mpl.mpl_figure_comm);\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ "da.plot.contourf(x='time', cmap='Blues_r', robust=True, levels=10)" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "ExecuteTime": { "end_time": "2019-05-04T03:01:53.756782Z", "start_time": "2019-05-04T03:01:52.970310Z" }, "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "netcdf \\01010101.ice_month {\r\n", "dimensions:\r\n", "\txt = 360 ;\r\n", "\txb = 361 ;\r\n", "\tyt = 200 ;\r\n", "\tyb = 201 ;\r\n", "\ttime = UNLIMITED ; // (12 currently)\r\n", "\tnv = 2 ;\r\n", "\tct = 5 ;\r\n", "\txv = 360 ;\r\n", "\tyv = 200 ;\r\n", "variables:\r\n", "\tdouble xt(xt) ;\r\n", "\t\txt:long_name = \"longitude\" ;\r\n", "\t\txt:units = \"degrees_E\" ;\r\n", "\t\txt:cartesian_axis = \"X\" ;\r\n", "\t\txt:edges = \"xb\" ;\r\n", "\tdouble xb(xb) ;\r\n", "\t\txb:long_name = \"longitude\" ;\r\n", "\t\txb:units = \"degrees_E\" ;\r\n", "\t\txb:cartesian_axis = \"X\" ;\r\n", "\tdouble yt(yt) ;\r\n", "\t\tyt:long_name = \"latitude\" ;\r\n", "\t\tyt:units = \"degrees_N\" ;\r\n", "\t\tyt:cartesian_axis = \"Y\" ;\r\n", "\t\tyt:edges = \"yb\" ;\r\n", "\tdouble yb(yb) ;\r\n", "\t\tyb:long_name = \"latitude\" ;\r\n", "\t\tyb:units = \"degrees_N\" ;\r\n", "\t\tyb:cartesian_axis = \"Y\" ;\r\n", "\tdouble time(time) ;\r\n", "\t\ttime:long_name = \"time\" ;\r\n", "\t\ttime:units = \"days since 0001-01-01 00:00:00\" ;\r\n", "\t\ttime:cartesian_axis = \"T\" ;\r\n", "\t\ttime:calendar_type = \"JULIAN\" ;\r\n", "\t\ttime:calendar = \"JULIAN\" ;\r\n", "\t\ttime:bounds = \"time_bounds\" ;\r\n", "\tdouble nv(nv) ;\r\n", "\t\tnv:long_name = \"vertex number\" ;\r\n", "\t\tnv:units = \"none\" ;\r\n", "\t\tnv:cartesian_axis = \"N\" ;\r\n", "\tdouble ct(ct) ;\r\n", "\t\tct:long_name = \"thickness\" ;\r\n", "\t\tct:units = \"meters\" ;\r\n", "\t\tct:cartesian_axis = \"Z\" ;\r\n", "\tdouble xv(xv) ;\r\n", "\t\txv:long_name = \"longitude\" ;\r\n", "\t\txv:units = \"degrees_E\" ;\r\n", "\t\txv:cartesian_axis = \"X\" ;\r\n", "\tdouble yv(yv) ;\r\n", "\t\tyv:long_name = \"latitude\" ;\r\n", "\t\tyv:units = \"degrees_N\" ;\r\n", "\t\tyv:cartesian_axis = \"Y\" ;\r\n", "\tfloat CELL_AREA(yt, xt) ;\r\n", "\t\tCELL_AREA:long_name = \"cell area\" ;\r\n", "\t\tCELL_AREA:units = \"sphere\" ;\r\n", "\t\tCELL_AREA:missing_value = 1.e+20f ;\r\n", "\t\tCELL_AREA:_FillValue = 1.e+20f ;\r\n", "\t\tCELL_AREA:cell_methods = \"time: point\" ;\r\n", "\tfloat COSROT(yt, xt) ;\r\n", "\t\tCOSROT:long_name = \"COSROT,SINROT points east\" ;\r\n", "\t\tCOSROT:units = \"none\" ;\r\n", "\t\tCOSROT:missing_value = 1.e+20f ;\r\n", "\t\tCOSROT:_FillValue = 1.e+20f ;\r\n", "\t\tCOSROT:cell_methods = \"time: point\" ;\r\n", "\tfloat GEOLAT(yt, xt) ;\r\n", "\t\tGEOLAT:long_name = \"latitude\" ;\r\n", "\t\tGEOLAT:units = \"degrees\" ;\r\n", "\t\tGEOLAT:missing_value = 1.e+20f ;\r\n", "\t\tGEOLAT:_FillValue = 1.e+20f ;\r\n", "\t\tGEOLAT:cell_methods = \"time: point\" ;\r\n", "\tfloat GEOLON(yt, xt) ;\r\n", "\t\tGEOLON:long_name = \"longitude\" ;\r\n", "\t\tGEOLON:units = \"degrees\" ;\r\n", "\t\tGEOLON:missing_value = 1.e+20f ;\r\n", "\t\tGEOLON:_FillValue = 1.e+20f ;\r\n", "\t\tGEOLON:cell_methods = \"time: point\" ;\r\n", "\tfloat SINROT(yt, xt) ;\r\n", "\t\tSINROT:long_name = \"-SINROT,COSROT points north\" ;\r\n", "\t\tSINROT:units = \"none\" ;\r\n", "\t\tSINROT:missing_value = 1.e+20f ;\r\n", "\t\tSINROT:_FillValue = 1.e+20f ;\r\n", "\t\tSINROT:cell_methods = \"time: point\" ;\r\n", "\tfloat ALB(time, yt, xt) ;\r\n", "\t\tALB:long_name = \"surface albedo\" ;\r\n", "\t\tALB:units = \"0-1\" ;\r\n", "\t\tALB:missing_value = -1.e+34f ;\r\n", "\t\tALB:_FillValue = -1.e+34f ;\r\n", "\t\tALB:cell_methods = \"time: mean\" ;\r\n", "\t\tALB:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat BHEAT(time, yt, xt) ;\r\n", "\t\tBHEAT:long_name = \"ocean to ice heat flux\" ;\r\n", "\t\tBHEAT:units = \"W/m^2\" ;\r\n", "\t\tBHEAT:missing_value = -1.e+34f ;\r\n", "\t\tBHEAT:_FillValue = -1.e+34f ;\r\n", "\t\tBHEAT:cell_methods = \"time: mean\" ;\r\n", "\t\tBHEAT:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat BMELT(time, yt, xt) ;\r\n", "\t\tBMELT:long_name = \"bottom surface melting energy flux\" ;\r\n", "\t\tBMELT:units = \"W/m^2\" ;\r\n", "\t\tBMELT:missing_value = -1.e+34f ;\r\n", "\t\tBMELT:_FillValue = -1.e+34f ;\r\n", "\t\tBMELT:cell_methods = \"time: mean\" ;\r\n", "\t\tBMELT:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat BSNK(time, yt, xt) ;\r\n", "\t\tBSNK:long_name = \"frozen water local bottom sink\" ;\r\n", "\t\tBSNK:units = \"kg/(m^2*yr)\" ;\r\n", "\t\tBSNK:missing_value = -1.e+34f ;\r\n", "\t\tBSNK:_FillValue = -1.e+34f ;\r\n", "\t\tBSNK:cell_methods = \"time: mean\" ;\r\n", "\t\tBSNK:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat CALVING(time, yt, xt) ;\r\n", "\t\tCALVING:long_name = \"frozen runoff\" ;\r\n", "\t\tCALVING:units = \"kg/(m^2*s)\" ;\r\n", "\t\tCALVING:missing_value = -1.e+34f ;\r\n", "\t\tCALVING:_FillValue = -1.e+34f ;\r\n", "\t\tCALVING:cell_methods = \"time: mean\" ;\r\n", "\t\tCALVING:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat CN(time, ct, yt, xt) ;\r\n", "\t\tCN:long_name = \"ice concentration\" ;\r\n", "\t\tCN:units = \"0-1\" ;\r\n", "\t\tCN:missing_value = -1.e+34f ;\r\n", "\t\tCN:_FillValue = -1.e+34f ;\r\n", "\t\tCN:cell_methods = \"time: mean\" ;\r\n", "\t\tCN:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat EXT(time, yt, xt) ;\r\n", "\t\tEXT:long_name = \"ice modeled\" ;\r\n", "\t\tEXT:units = \"0 or 1\" ;\r\n", "\t\tEXT:missing_value = -1.e+34f ;\r\n", "\t\tEXT:_FillValue = -1.e+34f ;\r\n", "\t\tEXT:cell_methods = \"time: mean\" ;\r\n", "\t\tEXT:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat EXT_min(time, yt, xt) ;\r\n", "\t\tEXT_min:long_name = \"ice modeled\" ;\r\n", "\t\tEXT_min:units = \"0 or 1\" ;\r\n", "\t\tEXT_min:missing_value = -1.e+34f ;\r\n", "\t\tEXT_min:_FillValue = -1.e+34f ;\r\n", "\t\tEXT_min:cell_methods = \"time: min\" ;\r\n", "\t\tEXT_min:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat EXT_max(time, yt, xt) ;\r\n", "\t\tEXT_max:long_name = \"ice modeled\" ;\r\n", "\t\tEXT_max:units = \"0 or 1\" ;\r\n", "\t\tEXT_max:missing_value = -1.e+34f ;\r\n", "\t\tEXT_max:_FillValue = -1.e+34f ;\r\n", "\t\tEXT_max:cell_methods = \"time: max\" ;\r\n", "\t\tEXT_max:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat FA_X(time, yv, xv) ;\r\n", "\t\tFA_X:long_name = \"air stress on ice - x component\" ;\r\n", "\t\tFA_X:units = \"Pa\" ;\r\n", "\t\tFA_X:missing_value = -1.e+34f ;\r\n", "\t\tFA_X:_FillValue = -1.e+34f ;\r\n", "\t\tFA_X:cell_methods = \"time: mean\" ;\r\n", "\t\tFA_X:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat FA_Y(time, yv, xv) ;\r\n", "\t\tFA_Y:long_name = \"air stress on ice - y component\" ;\r\n", "\t\tFA_Y:units = \"Pa\" ;\r\n", "\t\tFA_Y:missing_value = -1.e+34f ;\r\n", "\t\tFA_Y:_FillValue = -1.e+34f ;\r\n", "\t\tFA_Y:cell_methods = \"time: mean\" ;\r\n", "\t\tFA_Y:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat FI_X(time, yv, xv) ;\r\n", "\t\tFI_X:long_name = \"ice internal stress - x component\" ;\r\n", "\t\tFI_X:units = \"Pa\" ;\r\n", "\t\tFI_X:missing_value = -1.e+34f ;\r\n", "\t\tFI_X:_FillValue = -1.e+34f ;\r\n", "\t\tFI_X:cell_methods = \"time: mean\" ;\r\n", "\t\tFI_X:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat FI_Y(time, yv, xv) ;\r\n", "\t\tFI_Y:long_name = \"ice internal stress - y component\" ;\r\n", "\t\tFI_Y:units = \"Pa\" ;\r\n", "\t\tFI_Y:missing_value = -1.e+34f ;\r\n", "\t\tFI_Y:_FillValue = -1.e+34f ;\r\n", "\t\tFI_Y:cell_methods = \"time: mean\" ;\r\n", "\t\tFI_Y:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat FRAZIL(time, yt, xt) ;\r\n", "\t\tFRAZIL:long_name = \"energy flux of frazil formation\" ;\r\n", "\t\tFRAZIL:units = \"W/m^2\" ;\r\n", "\t\tFRAZIL:missing_value = -1.e+34f ;\r\n", "\t\tFRAZIL:_FillValue = -1.e+34f ;\r\n", "\t\tFRAZIL:cell_methods = \"time: mean\" ;\r\n", "\t\tFRAZIL:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat HI(time, yt, xt) ;\r\n", "\t\tHI:long_name = \"ice thickness\" ;\r\n", "\t\tHI:units = \"m-ice\" ;\r\n", "\t\tHI:missing_value = -1.e+34f ;\r\n", "\t\tHI:_FillValue = -1.e+34f ;\r\n", "\t\tHI:cell_methods = \"time: mean\" ;\r\n", "\t\tHI:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat HS(time, yt, xt) ;\r\n", "\t\tHS:long_name = \"snow thickness\" ;\r\n", "\t\tHS:units = \"m-snow\" ;\r\n", "\t\tHS:missing_value = -1.e+34f ;\r\n", "\t\tHS:_FillValue = -1.e+34f ;\r\n", "\t\tHS:cell_methods = \"time: mean\" ;\r\n", "\t\tHS:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat IX_TRANS(time, yt, xv) ;\r\n", "\t\tIX_TRANS:long_name = \"x-direction ice transport\" ;\r\n", "\t\tIX_TRANS:units = \"kg/s\" ;\r\n", "\t\tIX_TRANS:missing_value = -1.e+34f ;\r\n", "\t\tIX_TRANS:_FillValue = -1.e+34f ;\r\n", "\t\tIX_TRANS:cell_methods = \"time: mean\" ;\r\n", "\t\tIX_TRANS:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat IY_TRANS(time, yv, xt) ;\r\n", "\t\tIY_TRANS:long_name = \"y-direction ice transport\" ;\r\n", "\t\tIY_TRANS:units = \"kg/s\" ;\r\n", "\t\tIY_TRANS:missing_value = -1.e+34f ;\r\n", "\t\tIY_TRANS:_FillValue = -1.e+34f ;\r\n", "\t\tIY_TRANS:cell_methods = \"time: mean\" ;\r\n", "\t\tIY_TRANS:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat LH(time, yt, xt) ;\r\n", "\t\tLH:long_name = \"latent heat flux\" ;\r\n", "\t\tLH:units = \"W/m^2\" ;\r\n", "\t\tLH:missing_value = -1.e+34f ;\r\n", "\t\tLH:_FillValue = -1.e+34f ;\r\n", "\t\tLH:cell_methods = \"time: mean\" ;\r\n", "\t\tLH:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat LSNK(time, yt, xt) ;\r\n", "\t\tLSNK:long_name = \"frozen water local sink\" ;\r\n", "\t\tLSNK:units = \"kg/(m^2*yr)\" ;\r\n", "\t\tLSNK:missing_value = -1.e+34f ;\r\n", "\t\tLSNK:_FillValue = -1.e+34f ;\r\n", "\t\tLSNK:cell_methods = \"time: mean\" ;\r\n", "\t\tLSNK:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat LSRC(time, yt, xt) ;\r\n", "\t\tLSRC:long_name = \"frozen water local source\" ;\r\n", "\t\tLSRC:units = \"kg/(m^2*yr)\" ;\r\n", "\t\tLSRC:missing_value = -1.e+34f ;\r\n", "\t\tLSRC:_FillValue = -1.e+34f ;\r\n", "\t\tLSRC:cell_methods = \"time: mean\" ;\r\n", "\t\tLSRC:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat LW(time, yt, xt) ;\r\n", "\t\tLW:long_name = \"long wave heat flux over ice\" ;\r\n", "\t\tLW:units = \"W/m^2\" ;\r\n", "\t\tLW:missing_value = -1.e+34f ;\r\n", "\t\tLW:_FillValue = -1.e+34f ;\r\n", "\t\tLW:cell_methods = \"time: mean\" ;\r\n", "\t\tLW:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat MI(time, yt, xt) ;\r\n", "\t\tMI:long_name = \"ice mass\" ;\r\n", "\t\tMI:units = \"kg/m^2\" ;\r\n", "\t\tMI:missing_value = -1.e+34f ;\r\n", "\t\tMI:_FillValue = -1.e+34f ;\r\n", "\t\tMI:cell_methods = \"time: mean\" ;\r\n", "\t\tMI:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat RAIN(time, yt, xt) ;\r\n", "\t\tRAIN:long_name = \"rate of rain fall\" ;\r\n", "\t\tRAIN:units = \"kg/(m^2*s)\" ;\r\n", "\t\tRAIN:missing_value = -1.e+34f ;\r\n", "\t\tRAIN:_FillValue = -1.e+34f ;\r\n", "\t\tRAIN:cell_methods = \"time: mean\" ;\r\n", "\t\tRAIN:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat RUNOFF(time, yt, xt) ;\r\n", "\t\tRUNOFF:long_name = \"liquid runoff\" ;\r\n", "\t\tRUNOFF:units = \"kg/(m^2*s)\" ;\r\n", "\t\tRUNOFF:missing_value = -1.e+34f ;\r\n", "\t\tRUNOFF:_FillValue = -1.e+34f ;\r\n", "\t\tRUNOFF:cell_methods = \"time: mean\" ;\r\n", "\t\tRUNOFF:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat SALTF(time, yt, xt) ;\r\n", "\t\tSALTF:long_name = \"ice to ocean salt flux\" ;\r\n", "\t\tSALTF:units = \"kg/(m^2*s)\" ;\r\n", "\t\tSALTF:missing_value = -1.e+34f ;\r\n", "\t\tSALTF:_FillValue = -1.e+34f ;\r\n", "\t\tSALTF:cell_methods = \"time: mean\" ;\r\n", "\t\tSALTF:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat SH(time, yt, xt) ;\r\n", "\t\tSH:long_name = \"sensible heat flux\" ;\r\n", "\t\tSH:units = \"W/m^2\" ;\r\n", "\t\tSH:missing_value = -1.e+34f ;\r\n", "\t\tSH:_FillValue = -1.e+34f ;\r\n", "\t\tSH:cell_methods = \"time: mean\" ;\r\n", "\t\tSH:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat SNOWFL(time, yt, xt) ;\r\n", "\t\tSNOWFL:long_name = \"rate of snow fall\" ;\r\n", "\t\tSNOWFL:units = \"kg/(m^2*s)\" ;\r\n", "\t\tSNOWFL:missing_value = -1.e+34f ;\r\n", "\t\tSNOWFL:_FillValue = -1.e+34f ;\r\n", "\t\tSNOWFL:cell_methods = \"time: mean\" ;\r\n", "\t\tSNOWFL:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat SN2IC(time, yt, xt) ;\r\n", "\t\tSN2IC:long_name = \"rate of snow to ice conversion\" ;\r\n", "\t\tSN2IC:units = \"kg/(m^2*s)\" ;\r\n", "\t\tSN2IC:missing_value = -1.e+34f ;\r\n", "\t\tSN2IC:_FillValue = -1.e+34f ;\r\n", "\t\tSN2IC:cell_methods = \"time: mean\" ;\r\n", "\t\tSN2IC:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat SSH(time, yt, xt) ;\r\n", "\t\tSSH:long_name = \"sea surface height\" ;\r\n", "\t\tSSH:units = \"m\" ;\r\n", "\t\tSSH:missing_value = -1.e+34f ;\r\n", "\t\tSSH:_FillValue = -1.e+34f ;\r\n", "\t\tSSH:cell_methods = \"time: mean\" ;\r\n", "\t\tSSH:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat SSS(time, yt, xt) ;\r\n", "\t\tSSS:long_name = \"sea surface salinity\" ;\r\n", "\t\tSSS:units = \"psu\" ;\r\n", "\t\tSSS:missing_value = -1.e+34f ;\r\n", "\t\tSSS:_FillValue = -1.e+34f ;\r\n", "\t\tSSS:cell_methods = \"time: mean\" ;\r\n", "\t\tSSS:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat SST(time, yt, xt) ;\r\n", "\t\tSST:long_name = \"sea surface temperature\" ;\r\n", "\t\tSST:units = \"deg-C\" ;\r\n", "\t\tSST:missing_value = -1.e+34f ;\r\n", "\t\tSST:_FillValue = -1.e+34f ;\r\n", "\t\tSST:cell_methods = \"time: mean\" ;\r\n", "\t\tSST:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat SW(time, yt, xt) ;\r\n", "\t\tSW:long_name = \"short wave heat flux\" ;\r\n", "\t\tSW:units = \"W/m^2\" ;\r\n", "\t\tSW:missing_value = -1.e+34f ;\r\n", "\t\tSW:_FillValue = -1.e+34f ;\r\n", "\t\tSW:cell_methods = \"time: mean\" ;\r\n", "\t\tSW:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat TMELT(time, yt, xt) ;\r\n", "\t\tTMELT:long_name = \"upper surface melting energy flux\" ;\r\n", "\t\tTMELT:units = \"W/m^2\" ;\r\n", "\t\tTMELT:missing_value = -1.e+34f ;\r\n", "\t\tTMELT:_FillValue = -1.e+34f ;\r\n", "\t\tTMELT:cell_methods = \"time: mean\" ;\r\n", "\t\tTMELT:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat TS(time, yt, xt) ;\r\n", "\t\tTS:long_name = \"surface temperature\" ;\r\n", "\t\tTS:units = \"C\" ;\r\n", "\t\tTS:missing_value = -1.e+34f ;\r\n", "\t\tTS:_FillValue = -1.e+34f ;\r\n", "\t\tTS:cell_methods = \"time: mean\" ;\r\n", "\t\tTS:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat T1(time, yt, xt) ;\r\n", "\t\tT1:long_name = \"upper ice layer temperature\" ;\r\n", "\t\tT1:units = \"C\" ;\r\n", "\t\tT1:missing_value = -1.e+34f ;\r\n", "\t\tT1:_FillValue = -1.e+34f ;\r\n", "\t\tT1:cell_methods = \"time: mean\" ;\r\n", "\t\tT1:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat T2(time, yt, xt) ;\r\n", "\t\tT2:long_name = \"lower ice layer temperature\" ;\r\n", "\t\tT2:units = \"C\" ;\r\n", "\t\tT2:missing_value = -1.e+34f ;\r\n", "\t\tT2:_FillValue = -1.e+34f ;\r\n", "\t\tT2:cell_methods = \"time: mean\" ;\r\n", "\t\tT2:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat UI(time, yv, xv) ;\r\n", "\t\tUI:long_name = \"ice velocity - x component\" ;\r\n", "\t\tUI:units = \"m/s\" ;\r\n", "\t\tUI:missing_value = -1.e+34f ;\r\n", "\t\tUI:_FillValue = -1.e+34f ;\r\n", "\t\tUI:cell_methods = \"time: mean\" ;\r\n", "\t\tUI:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat VI(time, yv, xv) ;\r\n", "\t\tVI:long_name = \"ice velocity - y component\" ;\r\n", "\t\tVI:units = \"m/s\" ;\r\n", "\t\tVI:missing_value = -1.e+34f ;\r\n", "\t\tVI:_FillValue = -1.e+34f ;\r\n", "\t\tVI:cell_methods = \"time: mean\" ;\r\n", "\t\tVI:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat UO(time, yv, xv) ;\r\n", "\t\tUO:long_name = \"surface current - x component\" ;\r\n", "\t\tUO:units = \"m/s\" ;\r\n", "\t\tUO:missing_value = -1.e+34f ;\r\n", "\t\tUO:_FillValue = -1.e+34f ;\r\n", "\t\tUO:cell_methods = \"time: mean\" ;\r\n", "\t\tUO:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat VO(time, yv, xv) ;\r\n", "\t\tVO:long_name = \"surface current - y component\" ;\r\n", "\t\tVO:units = \"m/s\" ;\r\n", "\t\tVO:missing_value = -1.e+34f ;\r\n", "\t\tVO:_FillValue = -1.e+34f ;\r\n", "\t\tVO:cell_methods = \"time: mean\" ;\r\n", "\t\tVO:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tfloat XPRT(time, yt, xt) ;\r\n", "\t\tXPRT:long_name = \"frozen water transport convergence\" ;\r\n", "\t\tXPRT:units = \"kg/(m^2*yr)\" ;\r\n", "\t\tXPRT:missing_value = -1.e+34f ;\r\n", "\t\tXPRT:_FillValue = -1.e+34f ;\r\n", "\t\tXPRT:cell_methods = \"time: mean\" ;\r\n", "\t\tXPRT:time_avg_info = \"average_T1,average_T2,average_DT\" ;\r\n", "\tdouble average_T1(time) ;\r\n", "\t\taverage_T1:long_name = \"Start time for average period\" ;\r\n", "\t\taverage_T1:units = \"days since 0001-01-01 00:00:00\" ;\r\n", "\t\taverage_T1:missing_value = 1.e+20 ;\r\n", "\t\taverage_T1:_FillValue = 1.e+20 ;\r\n", "\tdouble average_T2(time) ;\r\n", "\t\taverage_T2:long_name = \"End time for average period\" ;\r\n", "\t\taverage_T2:units = \"days since 0001-01-01 00:00:00\" ;\r\n", "\t\taverage_T2:missing_value = 1.e+20 ;\r\n", "\t\taverage_T2:_FillValue = 1.e+20 ;\r\n", "\tdouble average_DT(time) ;\r\n", "\t\taverage_DT:long_name = \"Length of average period\" ;\r\n", "\t\taverage_DT:units = \"days\" ;\r\n", "\t\taverage_DT:missing_value = 1.e+20 ;\r\n", "\t\taverage_DT:_FillValue = 1.e+20 ;\r\n", "\tdouble time_bounds(time, nv) ;\r\n", "\t\ttime_bounds:long_name = \"time axis boundaries\" ;\r\n", "\t\ttime_bounds:units = \"days\" ;\r\n", "\t\ttime_bounds:missing_value = 1.e+20 ;\r\n", "\t\ttime_bounds:_FillValue = 1.e+20 ;\r\n", "\r\n", "// global attributes:\r\n", "\t\t:filename = \"ice_month.nc\" ;\r\n", "\t\t:title = \"CM2.5_A_Control-1990_FLOR_B01\" ;\r\n", "\t\t:grid_type = \"regular\" ;\r\n", "\t\t:grid_tile = \"N/A\" ;\r\n", "}\r\n" ] } ], "source": [ "!ncdump -h /home/wenchang/CM2.5/exp/m6p0sol_CTL1860/work/POSTP/01010101.ice_month.nc" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2019-05-01" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "ExecuteTime": { "end_time": "2019-05-01T18:48:24.252325Z", "start_time": "2019-05-01T18:47:23.913155Z" } }, "outputs": [ { "data": { "text/plain": [ "\n", "Dimensions: (bnds: 2, grid_xt: 576, grid_yt: 360, pfull: 32, phalf: 33, time: 2400)\n", "Coordinates:\n", " * grid_yt (grid_yt) float64 -89.75 -89.25 -88.75 ... 89.25 89.75\n", " * grid_xt (grid_xt) float64 0.3125 0.9375 1.562 ... 359.1 359.7\n", " * pfull (pfull) float64 2.164 5.845 10.75 ... 976.7 987.4 996.1\n", " * phalf (phalf) float64 1.0 4.0 8.186 ... 982.6 992.2 1e+03\n", " * time (time) object 0800-01-16 12:00:00 ... 0999-12-16 12:00:00\n", "Dimensions without coordinates: bnds\n", "Data variables:\n", " time_bounds (time, bnds) timedelta64[ns] dask.array\n", " grid_yt_bnds (time, grid_yt, bnds) float64 dask.array\n", " grid_xt_bnds (time, grid_xt, bnds) float64 dask.array\n", " drag_heat (time, grid_yt, grid_xt) float32 dask.array\n", " drag_moist (time, grid_yt, grid_xt) float32 dask.array\n", " drag_mom (time, grid_yt, grid_xt) float32 dask.array\n", " evap (time, grid_yt, grid_xt) float32 dask.array\n", " ice_mask (time, grid_yt, grid_xt) float32 dask.array\n", " land_mask (time, grid_yt, grid_xt) float32 dask.array\n", " lwflx (time, grid_yt, grid_xt) float32 dask.array\n", " rh_ref (time, grid_yt, grid_xt) float32 dask.array\n", " shflx (time, grid_yt, grid_xt) float32 dask.array\n", " tau_x (time, grid_yt, grid_xt) float32 dask.array\n", " tau_y (time, grid_yt, grid_xt) float32 dask.array\n", " t_ref (time, grid_yt, grid_xt) float32 dask.array\n", " t_ref_min (time, grid_yt, grid_xt) float32 dask.array\n", " t_ref_max (time, grid_yt, grid_xt) float32 dask.array\n", " t_surf (time, grid_yt, grid_xt) float32 dask.array\n", " u_ref (time, grid_yt, grid_xt) float32 dask.array\n", " v_ref (time, grid_yt, grid_xt) float32 dask.array\n", " wind (time, grid_yt, grid_xt) float32 dask.array\n", " area (time, grid_yt, grid_xt) float32 dask.array\n", " zsurf (time, grid_yt, grid_xt) float32 dask.array\n", " cld_amt (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " ice_wat (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " liq_wat (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " omega (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " ps (time, grid_yt, grid_xt) float32 dask.array\n", " sphum (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " temp (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " ucomp (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " vcomp (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " cat15 (time, grid_yt, grid_xt) float32 dask.array\n", " cat15_max (time, grid_yt, grid_xt) float32 dask.array\n", " f15 (time, grid_yt, grid_xt) float32 dask.array\n", " vort850 (time, grid_yt, grid_xt) float32 dask.array\n", " slp (time, grid_yt, grid_xt) float32 dask.array\n", " z_full (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " h850 (time, grid_yt, grid_xt) float32 dask.array\n", " t850 (time, grid_yt, grid_xt) float32 dask.array\n", " q850 (time, grid_yt, grid_xt) float32 dask.array\n", " u850 (time, grid_yt, grid_xt) float32 dask.array\n", " v850 (time, grid_yt, grid_xt) float32 dask.array\n", " h700 (time, grid_yt, grid_xt) float32 dask.array\n", " t700 (time, grid_yt, grid_xt) float32 dask.array\n", " q700 (time, grid_yt, grid_xt) float32 dask.array\n", " u700 (time, grid_yt, grid_xt) float32 dask.array\n", " v700 (time, grid_yt, grid_xt) float32 dask.array\n", " h200 (time, grid_yt, grid_xt) float32 dask.array\n", " t200 (time, grid_yt, grid_xt) float32 dask.array\n", " q200 (time, grid_yt, grid_xt) float32 dask.array\n", " u200 (time, grid_yt, grid_xt) float32 dask.array\n", " v200 (time, grid_yt, grid_xt) float32 dask.array\n", " prec_conv (time, grid_yt, grid_xt) float32 dask.array\n", " snow_tot (time, grid_yt, grid_xt) float32 dask.array\n", " snow_conv (time, grid_yt, grid_xt) float32 dask.array\n", " prec_ls (time, grid_yt, grid_xt) float32 dask.array\n", " snow_ls (time, grid_yt, grid_xt) float32 dask.array\n", " IWP (time, grid_yt, grid_xt) float32 dask.array\n", " LWP (time, grid_yt, grid_xt) float32 dask.array\n", " precip (time, grid_yt, grid_xt) float32 dask.array\n", " qdt_conv (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " tdt_conv (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " qdt_ls (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " rh (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " tdt_ls (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " WVP (time, grid_yt, grid_xt) float32 dask.array\n", " mc (time, phalf, grid_yt, grid_xt) float32 dask.array\n", " alb_sfc (time, grid_yt, grid_xt) float32 dask.array\n", " lwdn_sfc (time, grid_yt, grid_xt) float32 dask.array\n", " lwup_sfc (time, grid_yt, grid_xt) float32 dask.array\n", " netrad_toa (time, grid_yt, grid_xt) float32 dask.array\n", " olr (time, grid_yt, grid_xt) float32 dask.array\n", " qo3 (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " qo3_col (time, grid_yt, grid_xt) float32 dask.array\n", " swdn_sfc (time, grid_yt, grid_xt) float32 dask.array\n", " swup_sfc (time, grid_yt, grid_xt) float32 dask.array\n", " swdn_toa (time, grid_yt, grid_xt) float32 dask.array\n", " swup_toa (time, grid_yt, grid_xt) float32 dask.array\n", " tdt_lw (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " tdt_sw (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " lwdn_sfc_clr (time, grid_yt, grid_xt) float32 dask.array\n", " lwup_sfc_clr (time, grid_yt, grid_xt) float32 dask.array\n", " netrad_toa_clr (time, grid_yt, grid_xt) float32 dask.array\n", " olr_clr (time, grid_yt, grid_xt) float32 dask.array\n", " swdn_sfc_clr (time, grid_yt, grid_xt) float32 dask.array\n", " swup_sfc_clr (time, grid_yt, grid_xt) float32 dask.array\n", " swdn_toa_clr (time, grid_yt, grid_xt) float32 dask.array\n", " swup_toa_clr (time, grid_yt, grid_xt) float32 dask.array\n", " tdt_lw_clr (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " tdt_sw_clr (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " netlw_lin_trop (time, grid_yt, grid_xt) float32 dask.array\n", " netlw_200hPa (time, grid_yt, grid_xt) float32 dask.array\n", " swdn_lin_trop (time, grid_yt, grid_xt) float32 dask.array\n", " swdn_200hPa (time, grid_yt, grid_xt) float32 dask.array\n", " swup_200hPa (time, grid_yt, grid_xt) float32 dask.array\n", " swup_lin_trop (time, grid_yt, grid_xt) float32 dask.array\n", " netlw_lin_trop_clr (time, grid_yt, grid_xt) float32 dask.array\n", " netlw_200hPa_clr (time, grid_yt, grid_xt) float32 dask.array\n", " swdn_lin_trop_clr (time, grid_yt, grid_xt) float32 dask.array\n", " swdn_200hPa_clr (time, grid_yt, grid_xt) float32 dask.array\n", " swup_lin_trop_clr (time, grid_yt, grid_xt) float32 dask.array\n", " swup_200hPa_clr (time, grid_yt, grid_xt) float32 dask.array\n", " high_cld_amt (time, grid_yt, grid_xt) float32 dask.array\n", " low_cld_amt (time, grid_yt, grid_xt) float32 dask.array\n", " mid_cld_amt (time, grid_yt, grid_xt) float32 dask.array\n", " tot_cld_amt (time, grid_yt, grid_xt) float32 dask.array\n", " taubx (time, grid_yt, grid_xt) float32 dask.array\n", " tauby (time, grid_yt, grid_xt) float32 dask.array\n", " average_T1 (time) object dask.array\n", " average_T2 (time) object dask.array\n", " average_DT (time) timedelta64[ns] dask.array\n", "Attributes:\n", " filename: atmos_month.tile1.nc\n", " title: CM2.5_A_Control-1990_FLOR_B01\n", " grid_type: regular\n", " grid_tile: N/A\n", " history: /tigress/wenchang/CM2.5_tiger2_wy/CM2.5/bin/fregrid_parall...\n", " code_version: $Name: tikal_201409 $" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# data\n", "if 'dss' not in globals():\n", " dss = dict()\n", "\n", "data_name = 'precip'\n", "new_names = {'grid_xt': 'lon',\n", " 'grid_yt': 'lat'}\n", "scale = lambda x: x*24*3600\n", "ifile = '/tigress/wenchang/MODEL_OUT/CTL1860_newdiag_tigercpu_intelmpi_18_576PE/POSTP/0[8-9]??0101.atmos_month.nc'\n", "ds = xr.open_mfdataset(ifile)#[data_name]#.rename(new_names).pipe(scale)\n", "ds" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "ExecuteTime": { "end_time": "2019-05-01T18:49:09.545795Z", "start_time": "2019-05-01T18:49:09.543298Z" } }, "outputs": [], "source": [ "dss['ctl_1860'] = ds" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "ExecuteTime": { "end_time": "2019-05-01T18:50:21.107618Z", "start_time": "2019-05-01T18:49:22.228535Z" } }, "outputs": [ { "data": { "text/plain": [ "\n", "Dimensions: (bnds: 2, grid_xt: 576, grid_yt: 360, pfull: 32, phalf: 33, time: 2400)\n", "Coordinates:\n", " * grid_yt (grid_yt) float64 -89.75 -89.25 -88.75 ... 89.25 89.75\n", " * grid_xt (grid_xt) float64 0.3125 0.9375 1.562 ... 359.1 359.7\n", " * pfull (pfull) float64 2.164 5.845 10.75 ... 976.7 987.4 996.1\n", " * phalf (phalf) float64 1.0 4.0 8.186 ... 982.6 992.2 1e+03\n", " * time (time) object 0800-01-16 12:00:00 ... 0999-12-16 12:00:00\n", "Dimensions without coordinates: bnds\n", "Data variables:\n", " time_bounds (time, bnds) timedelta64[ns] dask.array\n", " grid_yt_bnds (time, grid_yt, bnds) float64 dask.array\n", " grid_xt_bnds (time, grid_xt, bnds) float64 dask.array\n", " drag_heat (time, grid_yt, grid_xt) float32 dask.array\n", " drag_moist (time, grid_yt, grid_xt) float32 dask.array\n", " drag_mom (time, grid_yt, grid_xt) float32 dask.array\n", " evap (time, grid_yt, grid_xt) float32 dask.array\n", " ice_mask (time, grid_yt, grid_xt) float32 dask.array\n", " land_mask (time, grid_yt, grid_xt) float32 dask.array\n", " lwflx (time, grid_yt, grid_xt) float32 dask.array\n", " rh_ref (time, grid_yt, grid_xt) float32 dask.array\n", " shflx (time, grid_yt, grid_xt) float32 dask.array\n", " tau_x (time, grid_yt, grid_xt) float32 dask.array\n", " tau_y (time, grid_yt, grid_xt) float32 dask.array\n", " t_ref (time, grid_yt, grid_xt) float32 dask.array\n", " t_ref_min (time, grid_yt, grid_xt) float32 dask.array\n", " t_ref_max (time, grid_yt, grid_xt) float32 dask.array\n", " t_surf (time, grid_yt, grid_xt) float32 dask.array\n", " u_ref (time, grid_yt, grid_xt) float32 dask.array\n", " v_ref (time, grid_yt, grid_xt) float32 dask.array\n", " wind (time, grid_yt, grid_xt) float32 dask.array\n", " area (time, grid_yt, grid_xt) float32 dask.array\n", " zsurf (time, grid_yt, grid_xt) float32 dask.array\n", " cld_amt (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " ice_wat (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " liq_wat (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " omega (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " ps (time, grid_yt, grid_xt) float32 dask.array\n", " sphum (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " temp (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " ucomp (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " vcomp (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " cat15 (time, grid_yt, grid_xt) float32 dask.array\n", " cat15_max (time, grid_yt, grid_xt) float32 dask.array\n", " f15 (time, grid_yt, grid_xt) float32 dask.array\n", " vort850 (time, grid_yt, grid_xt) float32 dask.array\n", " slp (time, grid_yt, grid_xt) float32 dask.array\n", " z_full (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " h850 (time, grid_yt, grid_xt) float32 dask.array\n", " t850 (time, grid_yt, grid_xt) float32 dask.array\n", " q850 (time, grid_yt, grid_xt) float32 dask.array\n", " u850 (time, grid_yt, grid_xt) float32 dask.array\n", " v850 (time, grid_yt, grid_xt) float32 dask.array\n", " h700 (time, grid_yt, grid_xt) float32 dask.array\n", " t700 (time, grid_yt, grid_xt) float32 dask.array\n", " q700 (time, grid_yt, grid_xt) float32 dask.array\n", " u700 (time, grid_yt, grid_xt) float32 dask.array\n", " v700 (time, grid_yt, grid_xt) float32 dask.array\n", " h200 (time, grid_yt, grid_xt) float32 dask.array\n", " t200 (time, grid_yt, grid_xt) float32 dask.array\n", " q200 (time, grid_yt, grid_xt) float32 dask.array\n", " u200 (time, grid_yt, grid_xt) float32 dask.array\n", " v200 (time, grid_yt, grid_xt) float32 dask.array\n", " prec_conv (time, grid_yt, grid_xt) float32 dask.array\n", " snow_tot (time, grid_yt, grid_xt) float32 dask.array\n", " snow_conv (time, grid_yt, grid_xt) float32 dask.array\n", " prec_ls (time, grid_yt, grid_xt) float32 dask.array\n", " snow_ls (time, grid_yt, grid_xt) float32 dask.array\n", " IWP (time, grid_yt, grid_xt) float32 dask.array\n", " LWP (time, grid_yt, grid_xt) float32 dask.array\n", " precip (time, grid_yt, grid_xt) float32 dask.array\n", " qdt_conv (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " tdt_conv (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " qdt_ls (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " rh (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " tdt_ls (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " WVP (time, grid_yt, grid_xt) float32 dask.array\n", " mc (time, phalf, grid_yt, grid_xt) float32 dask.array\n", " alb_sfc (time, grid_yt, grid_xt) float32 dask.array\n", " lwdn_sfc (time, grid_yt, grid_xt) float32 dask.array\n", " lwup_sfc (time, grid_yt, grid_xt) float32 dask.array\n", " netrad_toa (time, grid_yt, grid_xt) float32 dask.array\n", " olr (time, grid_yt, grid_xt) float32 dask.array\n", " qo3 (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " qo3_col (time, grid_yt, grid_xt) float32 dask.array\n", " swdn_sfc (time, grid_yt, grid_xt) float32 dask.array\n", " swup_sfc (time, grid_yt, grid_xt) float32 dask.array\n", " swdn_toa (time, grid_yt, grid_xt) float32 dask.array\n", " swup_toa (time, grid_yt, grid_xt) float32 dask.array\n", " tdt_lw (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " tdt_sw (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " lwdn_sfc_clr (time, grid_yt, grid_xt) float32 dask.array\n", " lwup_sfc_clr (time, grid_yt, grid_xt) float32 dask.array\n", " netrad_toa_clr (time, grid_yt, grid_xt) float32 dask.array\n", " olr_clr (time, grid_yt, grid_xt) float32 dask.array\n", " swdn_sfc_clr (time, grid_yt, grid_xt) float32 dask.array\n", " swup_sfc_clr (time, grid_yt, grid_xt) float32 dask.array\n", " swdn_toa_clr (time, grid_yt, grid_xt) float32 dask.array\n", " swup_toa_clr (time, grid_yt, grid_xt) float32 dask.array\n", " tdt_lw_clr (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " tdt_sw_clr (time, pfull, grid_yt, grid_xt) float32 dask.array\n", " netlw_lin_trop (time, grid_yt, grid_xt) float32 dask.array\n", " netlw_200hPa (time, grid_yt, grid_xt) float32 dask.array\n", " swdn_lin_trop (time, grid_yt, grid_xt) float32 dask.array\n", " swdn_200hPa (time, grid_yt, grid_xt) float32 dask.array\n", " swup_200hPa (time, grid_yt, grid_xt) float32 dask.array\n", " swup_lin_trop (time, grid_yt, grid_xt) float32 dask.array\n", " netlw_lin_trop_clr (time, grid_yt, grid_xt) float32 dask.array\n", " netlw_200hPa_clr (time, grid_yt, grid_xt) float32 dask.array\n", " swdn_lin_trop_clr (time, grid_yt, grid_xt) float32 dask.array\n", " swdn_200hPa_clr (time, grid_yt, grid_xt) float32 dask.array\n", " swup_lin_trop_clr (time, grid_yt, grid_xt) float32 dask.array\n", " swup_200hPa_clr (time, grid_yt, grid_xt) float32 dask.array\n", " high_cld_amt (time, grid_yt, grid_xt) float32 dask.array\n", " low_cld_amt (time, grid_yt, grid_xt) float32 dask.array\n", " mid_cld_amt (time, grid_yt, grid_xt) float32 dask.array\n", " tot_cld_amt (time, grid_yt, grid_xt) float32 dask.array\n", " taubx (time, grid_yt, grid_xt) float32 dask.array\n", " tauby (time, grid_yt, grid_xt) float32 dask.array\n", " average_T1 (time) object dask.array\n", " average_T2 (time) object dask.array\n", " average_DT (time) timedelta64[ns] dask.array\n", "Attributes:\n", " filename: atmos_month.tile1.nc\n", " title: CM2.5_A_Control-1990_FLOR_B01\n", " grid_type: regular\n", " grid_tile: N/A\n", " history: /tigress/wenchang/CM2.5_tiger2_wy/CM2.5/bin/fregrid_parall...\n", " code_version: $Name: tikal_201409 $" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ifile = '/tigress/wenchang/MODEL_OUT/CTL1990_newdiag_tigercpu_intelmpi_18_576PE/POSTP/0[8-9]??0101.atmos_month.nc'\n", "ds = xr.open_mfdataset(ifile)#[data_name]#.rename(new_names).pipe(scale)\n", "ds" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "ExecuteTime": { "end_time": "2019-05-01T18:55:53.386213Z", "start_time": "2019-05-01T18:55:53.383663Z" } }, "outputs": [], "source": [ "dss['ctl_1990'] = ds" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "ExecuteTime": { "end_time": "2019-05-01T18:59:12.470292Z", "start_time": "2019-05-01T18:58:16.954205Z" } }, "outputs": [ { "data": { "text/plain": [ "\n", "array([[0.033979, 0.033979, 0.033979, ..., 0.033979, 0.033979, 0.033979],\n", " [0.032927, 0.032934, 0.03294 , ..., 0.032908, 0.032915, 0.032921],\n", " [0.031628, 0.031636, 0.031645, ..., 0.031602, 0.03161 , 0.031619],\n", " ...,\n", " [0.103202, 0.10319 , 0.103179, ..., 0.103238, 0.103226, 0.103214],\n", " [0.101705, 0.101705, 0.101705, ..., 0.101704, 0.101704, 0.101705],\n", " [0.101728, 0.101728, 0.101728, ..., 0.101728, 0.101728, 0.101728]],\n", " dtype=float32)\n", "Coordinates:\n", " * lat (lat) float64 -89.75 -89.25 -88.75 -88.25 ... 88.75 89.25 89.75\n", " * lon (lon) float64 0.3125 0.9375 1.562 2.188 ... 357.8 358.4 359.1 359.7" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "da = dss['ctl_1990'][data_name].mean('time') \\\n", " - dss['ctl_1860'][data_name].mean('time')\n", "da = da.rename(new_names).pipe(scale).load()\n", "da" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "ExecuteTime": { "end_time": "2019-05-01T18:59:43.188221Z", "start_time": "2019-05-01T18:59:39.237700Z" } }, "outputs": [ { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "window.mpl = {};\n", "\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('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", "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 = $('
');\n", " this._root_extra_style(this.root)\n", " this.root.attr('style', 'display: inline-block');\n", "\n", " $(parent_element).append(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 (mpl.ratio != 1) {\n", " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n", " '
');\n", " var titletext = $(\n", " '
');\n", " titlebar.append(titletext)\n", " this.root.append(titlebar);\n", " this.header = titletext[0];\n", "}\n", "\n", "\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "\n", "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "mpl.figure.prototype._init_canvas = function() {\n", " var fig = this;\n", "\n", " var canvas_div = $('
');\n", "\n", " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", "\n", " function canvas_keyboard_event(event) {\n", " return fig.key_event(event, event['data']);\n", " }\n", "\n", " canvas_div.keydown('key_press', canvas_keyboard_event);\n", " canvas_div.keyup('key_release', canvas_keyboard_event);\n", " this.canvas_div = canvas_div\n", " this._canvas_extra_style(canvas_div)\n", " this.root.append(canvas_div);\n", "\n", " var canvas = $('');\n", " canvas.addClass('mpl-canvas');\n", " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", "\n", " this.canvas = canvas[0];\n", " this.context = canvas[0].getContext(\"2d\");\n", "\n", " var backingStore = this.context.backingStorePixelRatio ||\n", "\tthis.context.webkitBackingStorePixelRatio ||\n", "\tthis.context.mozBackingStorePixelRatio ||\n", "\tthis.context.msBackingStorePixelRatio ||\n", "\tthis.context.oBackingStorePixelRatio ||\n", "\tthis.context.backingStorePixelRatio || 1;\n", "\n", " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband = $('');\n", " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", "\n", " var pass_mouse_events = true;\n", "\n", " canvas_div.resizable({\n", " start: function(event, ui) {\n", " pass_mouse_events = false;\n", " },\n", " resize: function(event, ui) {\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " stop: function(event, ui) {\n", " pass_mouse_events = true;\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " });\n", "\n", " function mouse_event_fn(event) {\n", " if (pass_mouse_events)\n", " return fig.mouse_event(event, event['data']);\n", " }\n", "\n", " rubberband.mousedown('button_press', mouse_event_fn);\n", " rubberband.mouseup('button_release', mouse_event_fn);\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband.mousemove('motion_notify', mouse_event_fn);\n", "\n", " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", "\n", " canvas_div.on(\"wheel\", function (event) {\n", " event = event.originalEvent;\n", " event['data'] = 'scroll'\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " mouse_event_fn(event);\n", " });\n", "\n", " canvas_div.append(canvas);\n", " canvas_div.append(rubberband);\n", "\n", " this.rubberband = rubberband;\n", " this.rubberband_canvas = rubberband[0];\n", " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", " this.rubberband_context.strokeStyle = \"#000000\";\n", "\n", " this._resize_canvas = function(width, height) {\n", " // Keep the size of the canvas, canvas container, and rubber band\n", " // canvas in synch.\n", " canvas_div.css('width', width)\n", " canvas_div.css('height', height)\n", "\n", " canvas.attr('width', width * mpl.ratio);\n", " canvas.attr('height', height * mpl.ratio);\n", " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", "\n", " rubberband.attr('width', width);\n", " rubberband.attr('height', height);\n", " }\n", "\n", " // Set the figure to an initial 600x600px, this will subsequently be updated\n", " // upon first draw.\n", " this._resize_canvas(600, 600);\n", "\n", " // Disable right mouse context menu.\n", " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('
')\n", " nav_element.attr('style', 'width: 100%');\n", " this.root.append(nav_element);\n", "\n", " // Define a callback function for later on.\n", " function toolbar_event(event) {\n", " return fig.toolbar_button_onclick(event['data']);\n", " }\n", " function toolbar_mouse_event(event) {\n", " return fig.toolbar_button_onmouseover(event['data']);\n", " }\n", "\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", " // put a spacer in here.\n", " continue;\n", " }\n", " var button = $('