{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## DFO Nutrient Comparison" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/eolson/anaconda3/lib/python3.5/site-packages/matplotlib/font_manager.py:273: UserWarning: Matplotlib is building the font cache using fc-list. This may take a moment.\n", " warnings.warn('Matplotlib is building the font cache using fc-list. This may take a moment.')\n", "/home/eolson/anaconda3/lib/python3.5/site-packages/matplotlib/font_manager.py:273: UserWarning: Matplotlib is building the font cache using fc-list. This may take a moment.\n", " warnings.warn('Matplotlib is building the font cache using fc-list. This may take a moment.')\n" ] } ], "source": [ "import sqlalchemy\n", "from sqlalchemy import (create_engine, Column, String, Integer, Float, MetaData, \n", " Table, type_coerce, ForeignKey, case)\n", "from sqlalchemy.orm import mapper, create_session, relationship, aliased, Session\n", "from sqlalchemy.ext.declarative import declarative_base\n", "from sqlalchemy import case\n", "import numpy as np\n", "from sqlalchemy.ext.automap import automap_base\n", "import matplotlib.pyplot as plt\n", "import sqlalchemy.types as types\n", "from sqlalchemy.sql import and_, or_, not_, func\n", "from sqlalchemy.sql import select\n", "import os\n", "from os.path import isfile\n", "import pandas as pd\n", "import netCDF4 as nc\n", "import datetime as dt\n", "\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": true }, "outputs": [], "source": [ "PATH= '/data/eolson/MEOPAR/SS36runs/CedarRuns/spring2015_T6/'" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# definitions\n", "basepath='/ocean/eolson/MEOPAR/obs/'\n", "basedir=basepath + 'DFOOPDB/'\n", "dbname='DFO_OcProfDB'\n", "# if db does not exist, exit\n", "if not isfile(basedir + dbname + '.sqlite'):\n", " print('ERROR: ' + dbname + '.sqlite does not exist')\n", "engine = create_engine('sqlite:///' + basedir + dbname + '.sqlite', echo = False)\n", "Base = automap_base()\n", "# reflect the tables in salish.sqlite:\n", "Base.prepare(engine, reflect=True)\n", "# mapped classes have been created\n", "\n", "# existing tables:\n", "StationTBL=Base.classes.StationTBL\n", "ObsTBL=Base.classes.ObsTBL\n", "CalcsTBL=Base.classes.CalcsTBL\n", "JDFLocsTBL=Base.classes.JDFLocsTBL\n", "\n", "session = create_session(bind = engine, autocommit = False, autoflush = True)\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": true }, "outputs": [], "source": [ "qry0=(session\n", " .query(StationTBL.StartTimeZone.label('TimeZone'))\n", " .filter(StationTBL.StartYear>2014)\n", " .group_by(StationTBL.StartTimeZone))" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "('UTC',)\n" ] } ], "source": [ "for row in qry0.all():\n", " print(row)\n", " # one value means time zone is the same for all data for 2015 on" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [], "source": [ "SA=case([(CalcsTBL.Salinity_Bottle_SA!=None, CalcsTBL.Salinity_Bottle_SA)], else_=\n", " case([(CalcsTBL.Salinity_T0_C0_SA!=None, CalcsTBL.Salinity_T0_C0_SA)], else_=\n", " case([(CalcsTBL.Salinity_T1_C1_SA!=None, CalcsTBL.Salinity_T1_C1_SA)], else_=\n", " case([(CalcsTBL.Salinity_SA!=None, CalcsTBL.Salinity_SA)], else_=\n", " case([(CalcsTBL.Salinity__Unknown_SA!=None, CalcsTBL.Salinity__Unknown_SA)], \n", " else_=CalcsTBL.Salinity__Pre1978_SA)\n", " ))))" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [], "source": [ "Tem=case([(ObsTBL.Temperature!=None, ObsTBL.Temperature)], else_=\n", " case([(ObsTBL.Temperature_Primary!=None, ObsTBL.Temperature_Primary)], else_=\n", " case([(ObsTBL.Temperature_Secondary!=None, ObsTBL.Temperature_Secondary)], else_=ObsTBL.Temperature_Reversing)))\n", "TemUnits=case([(ObsTBL.Temperature!=None, ObsTBL.Temperature_units)], else_=\n", " case([(ObsTBL.Temperature_Primary!=None, ObsTBL.Temperature_Primary_units)], else_=\n", " case([(ObsTBL.Temperature_Secondary!=None, ObsTBL.Temperature_Secondary_units)], \n", " else_=ObsTBL.Temperature_Reversing_units)))\n", "TemFlag=ObsTBL.Quality_Flag_Temp" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(None,)\n", "('umol/L',)\n" ] } ], "source": [ "qry1=session.query(ObsTBL.Nitrate_plus_Nitrite_units).group_by(ObsTBL.Nitrate_plus_Nitrite_units)\n", "for row in qry1.all():\n", " print(row)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [], "source": [ "qry=session.query(StationTBL.StartYear.label('Year'),StationTBL.StartMonth.label('Month'),\n", " StationTBL.StartDay.label('Day'),StationTBL.StartHour.label('Hour'),\n", " StationTBL.Lat,StationTBL.Lon,\n", " ObsTBL.Pressure,ObsTBL.Depth,ObsTBL.Ammonium,ObsTBL.Ammonium_units,ObsTBL.Chlorophyll_Extracted,\n", " ObsTBL.Chlorophyll_Extracted_units,ObsTBL.Nitrate_plus_Nitrite.label('N'),\n", " ObsTBL.Silicate.label('Si'),ObsTBL.Silicate_units,SA.label('AbsSal'),Tem.label('T'),TemUnits.label('T_units')).\\\n", " select_from(StationTBL).join(ObsTBL,ObsTBL.StationTBLID==StationTBL.ID).\\\n", " join(CalcsTBL,CalcsTBL.ObsID==ObsTBL.ID).filter(and_(StationTBL.StartYear>2014,\n", " StationTBL.Lat>47-3/2.5*(StationTBL.Lon+123.5),\n", " StationTBL.Lat<47-3/2.5*(StationTBL.Lon+121)))" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
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YearMonthDayHourLatLonPressureDepthAmmoniumAmmonium_unitsChlorophyll_ExtractedChlorophyll_Extracted_unitsNSiSilicate_unitsAbsSalTT_units
02015.02.011.011.06861148.300833-124.0003331.9NoneNoneNoneNaNmg/m^315.3132.14umol/L29.2275079.7647'deg_C_(ITS90)'
12015.02.011.011.06861148.300833-124.0003336.6NoneNoneNone2.57mg/m^317.1333.90umol/L29.4843419.6880'deg_C_(ITS90)'
22015.02.011.011.06861148.300833-124.0003336.7NoneNoneNoneNaNmg/m^3NaNNaNumol/L29.4848399.6828'deg_C_(ITS90)'
32015.02.011.011.06861148.300833-124.00033311.0NoneNoneNoneNaNmg/m^3NaNNaNumol/L30.1445499.3646'deg_C_(ITS90)'
42015.02.011.011.06861148.300833-124.00033311.0NoneNoneNoneNaNmg/m^320.6237.65umol/L30.1579139.3586'deg_C_(ITS90)'
\n", "
" ], "text/plain": [ " Year Month Day Hour Lat Lon Pressure Depth \\\n", "0 2015.0 2.0 11.0 11.068611 48.300833 -124.000333 1.9 None \n", "1 2015.0 2.0 11.0 11.068611 48.300833 -124.000333 6.6 None \n", "2 2015.0 2.0 11.0 11.068611 48.300833 -124.000333 6.7 None \n", "3 2015.0 2.0 11.0 11.068611 48.300833 -124.000333 11.0 None \n", "4 2015.0 2.0 11.0 11.068611 48.300833 -124.000333 11.0 None \n", "\n", " Ammonium Ammonium_units Chlorophyll_Extracted Chlorophyll_Extracted_units \\\n", "0 None None NaN mg/m^3 \n", "1 None None 2.57 mg/m^3 \n", "2 None None NaN mg/m^3 \n", "3 None None NaN mg/m^3 \n", "4 None None NaN mg/m^3 \n", "\n", " N Si Silicate_units AbsSal T T_units \n", "0 15.31 32.14 umol/L 29.227507 9.7647 'deg_C_(ITS90)' \n", "1 17.13 33.90 umol/L 29.484341 9.6880 'deg_C_(ITS90)' \n", "2 NaN NaN umol/L 29.484839 9.6828 'deg_C_(ITS90)' \n", "3 NaN NaN umol/L 30.144549 9.3646 'deg_C_(ITS90)' \n", "4 20.62 37.65 umol/L 30.157913 9.3586 'deg_C_(ITS90)' " ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df1=pd.DataFrame(qry.all())\n", "df1.head()" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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VH/BbeYw7+SU3s4RZHJtyVRUTGz7CDz2PD5W/Vr4TsxrQSXuZfezhbTVHYamFL1mjln0T\nVH7QszdjZqFpR34NpUu2Q2fyP1fQ8srvHVdRelvK4puH96Jy1FFYauFLvXSBNieyOWNm4105YQqB\ny0euGTnMMuhx0FGbr9YbVtRRWAp8qYfCPkeyOWNmIdUzjAzQ4K0LR7+GHTEZ9d7U1QVczVxO1oyZ\nkjCFfc5kb8bMQlOPXunOKdADbD46Ot+/kgJBv21UunOGtmuO6pu2/B6HLYPSdYu/YQ6na8ZMSZDC\nPoeyN2NmoelHL4xY4n1W+nM6BR4OOUZlW7+vIz0DfBZ4LzDi0zFDhY3t97urN0jYKCzvORT6EoXC\nPqeyOWNmoeXnGx6sw89/FUNt/OFrohw5+Fn0qqqPUhj2tfqxn7AZMxX4EofCPufMikxhDGvpqTlW\nu3UKiR2p1Hnjv7zSnRN2tr8FpsY4X9ixovy7wlr0cUcUVYSNwlLgS1QaZ59zzvVlcMbMQmJHCuqf\n9y4/PWT/zyVUx3sZ3mKvp98/Tr+9V9iMmd5aNBZfWkkt+5SYFXMzY2ZJIcKS4cu9rfzqbYP2TWqb\nKPv671fZ8wDwSa6GozPahwf9y8ANwIeBMUBpFNa1zGNtjVFYauGLH3XjtBGzYo5mzCyUv9buWY/S\n+q1scTKw22d9re6cWmeoXUHQfoWjj6qPFf7vWgO8ABwLXHN0qWbMlHop7NtMvmbMbExwH3i0ZV4f\nh8BZhz4CdEesKc55/dYV6Abf/6/uciWlUVifoIdvsFszZkpk6rNvM/mYMTMZ1f3n1eH/tzGOtSpk\n3VfiFuZxdczlpVb8uKplw1v3j/ICH2AjlzCTtzMr8Ejqw5dmUss+I7I9Y2bz1XcBNdzxwJURjnMI\nuBH4EDA24LgF/Idglr5WunAqhod9RdRRWGrhC6gbp61VAj9srHaniBr+DwP/5rN8NPBBRnbnFHwe\nfww4AowCrvUsvxr4ZNW2/nUVKbXuPwB8BngR8A/sCXRzIz38goPcxM4RV2g0NFMqFPZtLrszZqYr\nLPz91pyE/4enBB8l3nb1/CZS8VFuZCGrGeB5tnMDjsOBx1Pgdy712be5yg932FjtThRlzLv3Ssez\nI7aNFvSjKHXnRK0l/E2o4Pv8Oj7EWzjIdhYwjn/hRj4aeAz140tS1LLPMLPi0bHaa9jBg+xLu6RU\n1QrZuK1/P5WunDi11NouaNuoM2aCWvidSN04HcasmKEZM7MjLOyD7poduUfJKEqfiLuWUt89wF8C\nc2Ke37su6ptB1BkzQYHfaVILezPrAn4C7HbOXWhmi4EvAOOBR4G3O+dGdC4r7BtnVow8VrsTBQV/\nlLAvAJ8CngcmlL+GbV9vPbVEHYWlwO8caYb9lcCrgInlsH8IuMo5d7+Z/RUw2zl3nc9+CvsEmBUz\nNmNmtkQNfP9961tffb9AtHMFbxt1FJYCvzOkEvZmNhP4GnA9pYC/0Myedc5N8qz/nnNugc++CvuE\neGfMfIj93JKJGTOzI27g+y8drlZ3TtB5w5aHrYs6CkuB3/7SGo3zaUrdmt7U3mJmF5YfXwrMTKoo\n8eedMXNRZmbMzLawlvSECPvXCnq/Y8fps68WdRSWRulIXDVb9mb2BuD1zrm/M7Nehlr2c4GbgSmU\n7mt5n3NuxNxVZub6+oZaIb29vfT29ib3L+hA+Zsxs3m8wRp8h6v/9qXnI/0l8M8h62vV43feqPtV\nxPncYrXy20N/fz/9/f1HnxeLxdZ245jZDcA7KM32NI5Sg+gO59xyzza/A/yzc+4Mn/3VjdME+Zox\ns/nCulLC3gQqa7wXZ/2PFK+OOGEf9IYVZxSWAr/9pDr00szOAlaUW/ZTnXO/Lo/S+Rpwr3Pun3z2\nUdg3SWXGzKhjtTuBX0s+zvJWq3X+OKOwFPjtJUth/z5KExU6Si39Dwfso7BvIrNirLHanaDWBdOg\nC7lh+1a7FXgEmA0sr7FtVEHnjjMKS4HfPnRTlYzQ6TNmBglqzQc9r14ePprG/3G9ar3JxPncYgV+\ne1DYSyCzIhczg0uZyTUdPGNmtbihH/Z8+Jrq8zSmVuDXmjHTS4Gffwp7CWVW5Dym8R5+iw+zRTNm\negQNiawVst6WfqX7ppq3O+cfgSeBGcC766wzSJxRWAr8fNOslxLKuT7WsZdP8zPNmOlRq79+gNId\ng9WXt6v3C+qf9y5/suprXGFhf4hBVrGZLuB6FjI25EdYY/HFS2Hfhpzr4wGe4WNsp8B8zmBK2iWl\nLmgIZsVqpnMYWM1JkfYvmV21zciuHL9lUQT9FgJwGEeRbTzNy6xlEcfRHXgcBb5UqBunjXlnzPw8\nu/hBh86YWT2OfXiIfhp4bsQ+1R9pWKj646fSfVOt3u6cynm9X72KFDRjZhtTn73Eohkzh3gD817g\nPgDOBH4O7D26bjrwLkZ+pKH3OMEjeaIti1qn3/Pq5Zoxsz2pz15ica6PR3mBD7CRS5jJ25mVdkmp\n8Yb0fUeXPsB0T9BDaY75bs8+UGr7F8p/fzdSfM/wPXfYG4V3W7+vQW7lMe7kl9zMEmZxbOB2ZkV1\n63Qwtew7hFmRG7iZHtayn4d4hFtqhkh7KoSs+wgnsZo9jKPAi6F7hR2ltL4QGNpxW+5h/0/edXE+\nt1it/OxTN47UrWhGNxPo4UYO8gt2chMw2GGhP9SBM9xZwNk+QRwubH3QyJ9a4d7IPmdyAis4jSLb\n2OhzLcJLgZ9tCntpiFmRj3IjC1nNAM+znRtw5Qt7nRP6hcBlSYV9WGs+bjdNLdX7x/ncYgV+dins\npWFmRYpczzw+wijGsZXrGOTQ0fXtH/oFoNSWv69qWenR0ONHKM2D4+dy4IsB+408YyH0efXyev4P\nvPtoxsz8U9hLIiozZt7GC4zjZLawiu9ygP8Gfh94vWfbdg3/sGAd3hIPPkLYcf2OHfQ86DeAoC6c\nKL8daMbMfFPYS2LMihQoMoe/YRKns5yV7Gc/EBxw/wE8CJwBPFgVRHl5UwjrA/duM/Q4aJv6WvNh\nXTrVy8LeLKK83poxM78U9pI4M2M5yzmXc7maq9nrGYpYqNq2EPB4aJnf0vyJ+u+Isl3cQA86Rq3f\nQIJoxsx8UthL4u6++24uuOACLuZiLuVSruEaHufxYd05hZD9w9aV1tfaItviBHrQsqh99lHW1/Pb\nlGbMzB+FvTSFWel76jzO4zIuYxWreBs7j66vdN9UOwM4P+a58hj+UWveBNwBwMXAosA+9VphHtaH\n77c8Cs2YmS8Ke2mKStj/PtDNmaxgBY9R5Dk2Ht2m4LOf37J6pP0GENadEqe2QsDjsGPGOW/Ubp8g\ncT+3WKGfHoW9NF3RjEksZR7XsoM17Cu36Qvl9aWLswxb1gytegOo1equPH8BWANcAyMmJSgQLGxd\nlNridgHVEvdzixX46VDYS0t4Z8z8Art4DVc0/Zx3UOoGWQTMBP4duABYRnOCP+4xCwGPwdt9M1yp\nM6d+QUHf6OsR93OLFfitp7CXlgmaMbNZLe6go4adrbrlW/D8CT9X+Pro5w/fLvpZ/PYthD4PWhZH\nnM8tVuC3lsJeWsqsWHOsdqOBE3XvKNvdR2n2m7OBe6tawfW2iivdN34uBeZX1Xcxw1v5VwCviHXG\nyvEKsZbXWhfkYmbwFmayMsLnFivwW0dhLy1nVow0Vrve0K9034SpdOfUUgh4XK9twLdjnDOJWqK+\njkmGvmbMzB6FvaTCrBhrrDYk11XS6ProVTS2b6Hqaz3HS2ZEUPRtvTRjZrYo7CU1ZsVYY7XDjOyP\nLlnEUCv/AkoXab3rg1S6b6qdTWnCs/j1xePtzvkV8HmfbaJ050QdeRPWf99It5pmzMwOhb2kyqwY\ne6x2LUld8PU7Sr1HDuq+uTRgefV56qklyoVl77ZBzxt9PTVjZjYo7CV1lRkz44zVjqqRoKrsWbo4\nO3xZI8erXlZZ7g3+6m0rz69gqJUftZZarfkoo3IaDXzNmJk+hb1kRpcVY43VrkezhnlGO3dJWKg3\n9/yFwOe1WvJJvG6aMTNdCnvJFLNirLHaafALzSTCMMmuk3rOFaelX6/KKKyH2M8tmjGzpVILezPr\nAn4C7HbOXWhmy4D/CYwGDgNXOOd+7LOfwr7NmRVjjdXOurA3hygh2sg2UYZTBoV7s9584o7CUugn\nI82wvxJ4FTCxHPb3Ah93zq0zs9cD1zjnzvbZT2HfAcyKscZqt7OgUK613Pu81r5hx2pG6McdhaXA\nb1zSYd8V8aQzKY2E+7Jn8R7g+PLjScCTSRUl+eNcH+vYy03s5EZ6WHz0W6Pz1ArYsEAueP6E7esN\ne7/9g57X6xCDrGIzXcD1LGRsjegwKzZ8TklWpJa9md0OXE8p3FeUW/azgAcAR2lepT90zu322Vct\n+w5iVjw6VnstO/kvnkm7pFTU6vbxWx+l1V7r2FG6gRqhGTNbp+XdOGb2BuD1zrm/M7Ne4Kpy2H8f\n+Jxz7v+Y2ZuBy5xz5/rs7/r6hv7De3t76e3tTap+yaDqGTNrjdXuRLVa73GWh20b1iVUL82Y2Rz9\n/f309/cffV4sFlse9jcA7wAGgHHABOBO4ELn3PGe7Z7zPvcsV8u+AwXNmCnRxLlQ28w3jTCaMbO5\nUh16aWZnMdSN8xNKrfz7zOxPgBudc7/ns4/CvkNFmTFTgtXTkg9aluToHK+LmcGlzOQazZiZuFQu\n0Aa4DFhjZuuB1cB7kilJ2oVzfezhEO9jA+cwlcuZnXZJudJIWLci6AHu4Em+yqN8msWcxnGh2+qi\nbbp0U5U0XT0zZkpJWGhHCfFmBr2XZsxMXpZa9iKRONfH8wywgo1MZyzXMp/RJPY93NZa1UJv1AM8\nw8fYTh/zOYMpodu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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "with nc.Dataset('/ocean/eolson/MEOPAR/NEMO-forcing/grid/mesh_mask201702_noLPE.nc') as f:\n", " tmask=np.copy(f.variables['tmask'])\n", " lon=np.copy(f.variables['nav_lon'])\n", " lat=np.copy(f.variables['nav_lat'])\n", "plt.pcolormesh(lon,lat,tmask[0,0,:,:])\n", "plt.plot(df1.Lon,df1.Lat,'k*')\n", "x0=-123.5\n", "y0=47\n", "x1=-126\n", "y1=50\n", "x=np.arange(-127,-123,.5)\n", "y=y0+(y1-y0)/(x1-x0)*(x-x0) # take lat>47-3/2.5*(lon+123.5)\n", "plt.plot(x,y,'m-')\n", "x0=-121\n", "y0=47\n", "x1=-123.5\n", "y1=50\n", "x=np.arange(-124,-120,.5)\n", "y=y0+(y1-y0)/(x1-x0)*(x-x0) # take lat<47-3/2.5*(lon+121)\n", "plt.plot(x,y,'m-')" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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pR1GuXr2aHnjgASeyyBRFpjrgve7ryJEjriiwvr4+R4nG43HHIV4oFGjfvn2O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\nw3jCSoJhGIbxhJUEwzAM48n/D06k378hX7I4AAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot(df1['N'],df1['Si'],'k.')\n", "plt.xlabel('N')\n", "plt.ylabel('Si')" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": false }, "outputs": [], "source": [ "from salishsea_tools import gsw_calls, viz_tools, geo_tools, tidetools\n", "import datetime\n", "import glob" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": false }, "outputs": [], "source": [ "depths = gsw_calls.generic_gsw_caller('gsw_z_from_p.m', \n", " [df1.Pressure.values, df1.Lat.values])" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": false }, "outputs": [], "source": [ "depths = depths * -1" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "collapsed": false }, "outputs": [], "source": [ "df1 = df1.assign(depth = depths)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "(2495, 19)" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df1.shape" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "(2495, 19)" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df1.dropna(subset=['Year', 'Month', 'Hour', 'Lat', 'Lon','Pressure']).shape" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "collapsed": false }, "outputs": [], "source": [ "df2 = df1.dropna(subset=['Year', 'Month', 'Hour', 'Lat', 'Lon', 'Si', 'N'])" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "collapsed": true }, "outputs": [], "source": [ "deptht = (nc.Dataset(\n", "'/results/SalishSea/nowcast-green/01jan18/SalishSea_1d_20180101_20180101_dia2_T.nc')\n", " .variables['deptht'][:])" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "array([ 0.5000003 , 1.5000031 , 2.50001144, 3.50003052,\n", " 4.50007057, 5.50015068, 6.50031042, 7.50062323,\n", " 8.50123596, 9.50243282, 10.50476551, 11.50931168,\n", " 12.51816654, 13.53541183, 14.56898212, 15.63428783,\n", " 16.76117325, 18.00713539, 19.48178482, 21.38997841,\n", " 24.10025597, 28.22991562, 34.68575668, 44.51772308,\n", " 58.48433304, 76.58558655, 98.06295776, 121.86651611,\n", " 147.08946228, 173.11448669, 199.57304382, 226.26029968,\n", " 253.06663513, 279.93453979, 306.834198 , 333.75018311,\n", " 360.67453003, 387.60321045, 414.53408813, 441.46609497], dtype=float32)" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "deptht" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "collapsed": true }, "outputs": [], "source": [ "grid = nc.Dataset('/data/vdo/MEOPAR/NEMO-forcing/grid/bathymetry_201702.nc')\n", "bathy, X, Y = tidetools.get_bathy_data(grid)\n", "mesh = nc.Dataset('/data/vdo/MEOPAR/NEMO-forcing/grid/mesh_mask201702.nc')\n", "start_date = datetime.datetime(2015,2,6)\n", "end_date = datetime.datetime(2015,11,12)" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "collapsed": true }, "outputs": [], "source": [ "numfiles=int(((end_date-start_date).days+1)/10)" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "28" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "numfiles" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "2329" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df2.shape[0]" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "collapsed": true }, "outputs": [], "source": [ "dates = np.array([datetime.datetime(year = int(df2.Year[n]), \n", " month = int(df2.Month[n]),\n", " day = int(df2.Day[n]), \n", " hour = int(df2.Hour[n]),\n", " minute = int((df2.Hour[n] - int(df2.Hour[n]))*60)) \n", " for n in df2.index])" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "collapsed": true }, "outputs": [], "source": [ "df2 = df2.assign(date = dates)" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "datetime.datetime(2015, 11, 13, 0, 0)" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "bounds = np.array([start_date + datetime.timedelta(days = n*10) for n in range(numfiles+1) ])\n", "bounds[-1]" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "collapsed": true }, "outputs": [], "source": [ "bounds_r = (bounds - datetime.timedelta(days = 1))[1:]\n", "bounds_l = bounds[:-1]" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "array([datetime.datetime(2015, 2, 15, 0, 0),\n", " datetime.datetime(2015, 2, 25, 0, 0)], dtype=object)" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "bounds_r[:2]" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "collapsed": true }, "outputs": [], "source": [ "for n in range(numfiles):\n", " bounds_l[n] = bounds_l[n].replace(minute = 30)" ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "collapsed": true }, "outputs": [], "source": [ "for n in range(numfiles):\n", " bounds_r[n] = bounds_r[n].replace(hour = 23, minute = 30)" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "collapsed": false }, "outputs": [], "source": [ "list_of_lons = np.array([])\n", "list_of_lats = np.array([])\n", "list_of_datetimes = np.array([])\n", "list_of_cs_ni = np.array([])\n", "list_of_cs_si = np.array([])\n", "list_of_model_ni = np.array([])\n", "list_of_model_si = np.array([])\n", "list_of_depths = np.array([])\n", "for n in df2[(df2.date > start_date) & (df2.date < end_date)].index:\n", " date = df2.date[n]\n", " Yind, Xind = geo_tools.find_closest_model_point(df2.Lon[n], df2.Lat[n], \n", " X, Y, land_mask = bathy.mask)\n", " depth = np.argmin(np.abs(deptht - df2.depth[n]))\n", " if mesh.variables['tmask'][0,depth,Yind, Xind] == 1:\n", " for m in range(numfiles):\n", " if (date > bounds[m]) & (date < bounds[m+1]):\n", " here = m\n", " datestr_l = bounds_l[here].strftime('%Y%m%d')\n", " datestr_r = bounds_r[here].strftime('%Y%m%d')\n", " datestr = datestr_l + '-' + datestr_r\n", " nuts = nc.Dataset(glob.glob(PATH + 'SalishSea*1h*ptrc_T*' + datestr +'.nc')[0])\n", " if date.minute < 30:\n", " before = datetime.datetime(year = date.year, month = date.month, day = date.day, \n", " hour = (date.hour), minute = 30) - datetime.timedelta(hours=1)\n", " if date.minute >= 30:\n", " before = datetime.datetime(year = date.year, month = date.month, day = date.day, \n", " hour = (date.hour), minute = 30)\n", " delta = (date.minute) / 60\n", " hour = (before - bounds_l[here]).days * 24 + int((before - bounds_l[here]).seconds / 60 / 60)\n", " ni_val = (delta*(nuts.variables['nitrate'][hour, depth, Yind, Xind] ) + \n", " (1- delta)*(nuts.variables['nitrate'][hour+1, depth, Yind, Xind] ))\n", " si_val = (delta*(nuts.variables['silicon'][hour, depth, Yind, Xind] ) + \n", " (1- delta)*(nuts.variables['silicon'][hour+1, depth, Yind, Xind] ))\n", " list_of_lons = np.append(list_of_lons, df2.Lon[n])\n", " list_of_lats = np.append(list_of_lats, df2.Lat[n])\n", " list_of_datetimes = np.append(list_of_datetimes, date)\n", " list_of_cs_ni = np.append(list_of_cs_ni, float(df2['N'][n]))\n", " list_of_cs_si = np.append(list_of_cs_si, float(df2['Si'][n]))\n", " list_of_model_ni = np.append(list_of_model_ni, ni_val)\n", " list_of_model_si = np.append(list_of_model_si, si_val)\n", " #list_of_depths = np.append(list_of_depths, depth)\n", " list_of_depths = np.append(list_of_depths, df2.depth[n])" ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "2.7761999999999998" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df2.depth[n]" ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "(560,)" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "list_of_cs_ni.shape" ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "shallow nutrient samples (136,)\n" ] } ], "source": [ "print('shallow nutrient samples', list_of_cs_ni[list_of_depths < 15].shape)" ] }, { "cell_type": "code", "execution_count": 37, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "intermediate nutrient samples (41,)\n" ] } ], "source": [ "print('intermediate nutrient samples', list_of_cs_ni[(22 > list_of_depths) & (list_of_depths >= 15)].shape)" ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "deep nutrient samples (383,)\n" ] } ], "source": [ "print('deep nutrient samples', list_of_cs_ni[list_of_depths >= 22].shape)" ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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SpYyPj/+kPvbs2UM9PT0OHjyYI0eOZJs2bfjbb7+xSZMmvH79+n/WUSD4X+NLN9IcHR25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\n1rpY/KQWRQghhBC5SUlJ0RUqVNDh4eHpYTdu3NCWlpb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r4Lp1BhyUUtcAU6CyUmqP1rrD\nY3m+EO0WiqZ+kbb7RDm9FzKkm6iU+pnU98KKx669EG23KOoWabdPlEvdLgFCtdbzc8gzX+32RZ3u\nTP/rVylVAdgOTNZaH84QXkIpVTHtsyngDpzLkpBS1kopk7TPdQFb4FrhFr9YK7C6JXXj4wFKqVJK\nqTqk1u3Rwix8MZdr3WqtF2mta+rUzadbkfrSeLwDIe02ewVWv0jbfVxe3gtllVJV0z6XBLoDp7Mk\nJG33cQVWt0i7fVyudZt2bTpgobUen2NC+W23xq40eF5/gF6kzrXHA7cBv7Twj4EHpPZmT6X91xow\nB46T2pBDSD1k/q995d4A/i/tcx9SOxgn0+7vVtTP+nep27TfvUhdYXQRcCvqZy3udftY3EyriaTd\nPrv6Tftd2q5x74XKpHYITgNngC/lnfts61babb7qtgZgAM5nCB9aUO1WNrMVQgghhCiGXtTpTiGE\nEEKIYk06aUIIIYQQxZB00oQQQgghiiHppAkhhBBCFEPSSRNCCCGEKIakkyaEEEIIUQxJJ00IIYQQ\nohj6fyntr2B29PPgAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize = (10,10))\n", "viz_tools.set_aspect(ax, coords = 'map')\n", "ax.plot(list_of_lons, list_of_lats, 'ro')\n", "ax.plot(list_of_lons[(list_of_lons < -123.5) & (list_of_lats < 48.6)], \n", " list_of_lats[(list_of_lons < -123.5) & (list_of_lats < 48.6)], \n", " 'bo', label = 'Juan de Fuca')\n", "viz_tools.plot_coastline(ax, grid, coords = 'map')\n", "ax.set_ylim(48, 50.5)\n", "ax.legend()\n", "ax.set_xlim(-125.7, -122.5);" ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "surface bias = -0.143891657082\n", "surface RMSE = 5.69988857824\n", "surface Willmott = 0.866677558236\n", "intermediate bias = 1.64936580774\n", "intermediate RMSE = 5.03965439124\n", "intermediate Willmott = 0.628272721061\n", "deep bias = 0.361253648962\n", "deep RMSE = 3.29399133149\n", "deep Willmott = 0.76912390965\n", "bias = 0.332883714834\n", "RMSE = 4.14373131125\n", "Willmott = 0.92326057432\n" ] }, { "data": { "image/png": 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JnS+pdqNHjmQ+JhdPQfKO/847l3P55a0MDg5TXW2hsbE6Za/13btv5uWXT3HJ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\nUNs+rd60Hm7aOg843Ps+zd7ca7Yk7mL2z02IUPKnad3b6We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HlVKTgSeAy5RSu4Ch9Y+F\nBw2bXiJd0yRupdg9aSl+M08TDCS5/xuMLoKhrB6/r4JaI9daj2/h0KXBvK7wzKwjnqUmHt6ys7M5\ncOCA0cUQIqxkZWW1qV+8IVlr3SLM2r8qSTz81ffpGV0MIcJKS/9vwmX6mTCAGZf5lCQuhBBtJ4nc\nxALZT2S25TRPl8St3kdm9fiFEN4zwzxyEQJmGvEsNXEhhAgc6SMXISVJPPJIH7kQvpM+chGWJImL\ncLZ792769+9PcnIy//Vf/2V0cYRwk0RuYpHUT+prEo+k2P1h9fjN6KmnnuKSSy6hpKSEP//5z0YX\nRwg3SeQG0w4n1flHI3oDDKmJi3BWU1MDwIEDBzjrrLMMLo0QzUkiN9DpdrNyLa4fzvxN4uEYeyC/\nlIVj/J4E4jNp6zmefPJJMjIySEpK4te//jXr169n8uTJPPzww+7XbNy4kczMTPfjnJwcnnrqKc45\n5xwSEhK49NJLWb9+PVOnTiUpKYkff/yRVatWce6555KcnExWVhYzZ85sdN1NmzZx0UUXYbfbycrK\n4vXXXwfA6XTy17/+laysLLp27codd9yBw+HwKzYhQEatG8rT3O7obpGzq6uVauJmXXDHSIH4TNp6\njt27d/Pf//3ffPnll3Tu3JmDBw9SXV3t8bVKNR5ftHTpUlavXk1aWhpxcXEMGTKEiRMncvPNNwNQ\nUFDAG2+8wVlnncW3337LZZddRv/+/bnqqqs4cOAAf/jDH1iwYAGjRo2itLSUvLw8AO677z5++ukn\nduzYQXR0NOPHj2fWrFk8/vjjPn02QrhIjdxAp5vbHc79pG1N4uEWe6AX3Am3+D0JxGfS1nNERUXh\ndDr59ttvqa6upkePHpxxxhlevffuu++mW7duxMXFeTx+8cUXu5vaf/Ob3zBu3Dg2btwIwFtvvcVl\nl13GmDFjiIqKwm6307dvXwBefvllnnvuOZKTk+nQoQPTp0/nrbfe8ikuIRqSGrmBzDS3O5CsVBN3\ncX8pq685Gr3gjhkE4jNp6znOPPNM/t//+388+uij7Ny5k8svv5xnnnnGq/dmZGS0enzLli1Mnz6d\nb7/9FqfTidPpZPTo0QDk5eVx5plnNntPYWEhFRUVnHfeee7namtrZfqeaBNJ5AZz7WblSTj2kwYq\niYdb7IH+UhZu8XsSiM8kEOcYN24c48aNo7y8nNtuu4377ruP5ORkKioq3K85fPhw82ur1qfyjh8/\nnrvuuosPP/yQmJgYpk2bxokTJwDIzMxky5Ytzd7TsWNH4uPj2blzJ127dvU5FiE8kaZ1ETBWrIk3\nZJUtRn0RiM+kLefYvXs369evx+l0EhsbS/v27YmKiqJfv36sWrWK4uJijhw5wvPPP+/zucvLy7Hb\n7cTExLBlyxaWLFniPnbDDTfw8ccf8+6771JTU0NRURFff/01SiluvfVW7rnnHgoLCwHIz89n7dq1\nPl9fCBdJ5CYWTv2kgU7i4RR7MFg9/kBxOBxMnz6d9PR0unXrRmFhIf/5n//JhAkT6Nu3L9nZ2Vx+\n+eWMGzeu0fs81cabPjd//nxmzJhBcnIyjz32GGPHjnUfy8zMZNWqVcydO5fU1FT69+/Pjh07AHji\niSfo2bMnF1xwASkpKQwbNozdu3cHIXphFbJEq4lt2LAhLJpYg1ETD5fYgyVc4tcOJ7Z2cdLHK4SP\nArlEqyRy0SZWb063MtfUsLT/c7MkciF8JGutC1OQJG5trqlhQghjSSI3MTP3kwY7iZs59lAIh/hd\nU8OEEMaSRC58JjVxAb9MDRNCGEv6yIVPJImLpmQ/ciF8J33kwhCSxM3PCrvpCSEak0RuYmbqJw11\nEjdT7C0JZtL0J/7T7aYnhIhMskSrOC0ja+La4aTmeDFRHe2mWjHNjLudRfpuekIIz6RGbmJmWBDE\nqCQ+ePBgU9cwA73bWVP+3PvT7aYXCOHYdP+b3/yGTz75xOhitNmiRYsYNGiQ+3FiYiL79+83rkDC\nNKRGLlpkdJ+4mWuYZtztLNi76ZmxFcIb3377rVevy8nJ4ZVXXuGSSy4Jcon813CZ2LIy7+bwHzhw\ngJycHKqrq7HZpO4WieSumpiR/cRGJ/ENGzaEpIbpL1fSTJk6LigJzd97H8yNW4LdChHuzDpyX2st\nMwsinCRy0YzRSdwlkMkyGE3CVtvtzK8vVtUOKM2r+9tfbTxHTk4O69atY+bMmYwdO9b9c3322Wez\nbds2ACZNmsTBgwcZMWIESUlJzJ07F4DNmzdz0UUXYbfb6d+/Pxs3bnSfd8iQITz00EP87ne/o0OH\nDvz0008MGTKEGTNmcNFFF5GYmMjIkSM5ceIEEyZMIDk5mf/4j//g4MGD7nP88MMPDBs2jLS0NH79\n61/zzjvvuI8VFRVx1VVXkZyczAUXXMDevXsbxWWz2di3bx8Aq1at4txzzyU5OZmsrCxmzpzpft3v\nf/97AFJSUkhKSuLzzz8HYOHChfTp04e0tDSGDx/eqFwizGitTfunrngilDZt2qRfeOEFXVJSYnRR\nAqa20qFPPL1QFz7wvD7x9EJdW+kwukhhq7bSoavyjzb6DFv8f1pVqfW/Z2q97p66v6sqfb9gAM6R\nnZ2tP/74Y/3oo4/q9u3b6zVr1uja2lp9//336wsuuKDR69atW+d+nJ+fr9PS0vSaNWu01lr/61//\n0mlpafr48eNaa60HDx6ss7Ky9Pfff69ramp0VVWVHjx4sO7Vq5f+6aefdGlpqe7Tp4/u1auXXrdu\nna6pqdGTJk3SN998s9Za659//llnZmbqRYsW6draWr19+3bdsWNH/f3332uttR47dqweO3asPnXq\nlP7222919+7d9aBBg9zls9lseu/evVprrTdu3Ki//fZbrbXW33zzje7SpYtevny51lrr/fv3a5vN\npmtra93vff/993WvXr30rl27dE1NjX788cf1b3/7W58/W+G/lv7f1D/vU66UGrlwM0tNPNCkSThw\nfGqFqDgGlcUQl1z396lC3y8YiHM08Lvf/Y7c3FyUUkycONG9taiLbtD8/Oabb3LFFVeQm5sLwNCh\nQxkwYACrVq1yv+amm27iV7/6FTabjejouiFHkydPJjs7m8TERIYPH06vXr0YMmQINpuN0aNH89VX\nXwGwcuVKcnJymDRpEkopzjnnHEaNGsU777xDbW0t7733HrNnz6Zdu3acddZZ3HjjjS2W9eKLL+as\ns84C6gb3jRs3rlHrQdPXv/jii9x///307t0bm83G9OnT2b59O3l5eX5/tsI4kshNLJR95GZL4oGM\n3cx97S0Jh3n0pxXfCdrZwVFS93f7dGPO0UCXLl1+OXV8PJWVldTW1np87YEDB3j77bdJTU0lNTUV\nu93OZ599xpEjR9yvyczMbPa+zp07u//dvn37Zo/Ly8vd59+8eXOj8y9ZsoSjR49SWFhIdXU1GRkZ\n7vdmZWW1GNfnn3/OJZdcQqdOnUhJSeHFF1/k+PHjLb7+wIED3H333e5rp6WloZQiPz+/xfcI85JR\n68J0STzQgj2aW7QgOg4G3ldXi26fXvfYiHN4qeGIcKhL0pMmTeLFF1/0+j2+yMzMZPDgwXz44YfN\njtXW1hITE0NeXh69e/cGaLUP+4YbbuCuu+7iww8/JCYmhmnTpnHixIkWy9ijRw8eeughrr/+er/L\nL8xDauReMmL+bCjmkQc7ifv7uQU69nAbmGaGNQQCIjoOEjPaloADcY4WNGxu7tKli3vwGMCECRNY\nsWIFa9eupba2lsrKSjZu3EhBQUFArn3llVeye/du3nzzTaqrq6mqqmLr1q3s2rULm83Gtddey6OP\nPsqpU6f47rvvWLRoUYvnKi8vx263ExMTw5YtW1iyZIn7WHp6OjabrdFguT/+8Y/MmTOH7777DoCS\nkhLefffdgMQlQk8SuRfMvDBJW4QiiUfi5ybCS2u15obHpk+fzuzZs0lNTeXZZ58lIyOD5cuXM2fO\nHNLT08nKymLu3LnupnhP5/Wlhp6QkMDatWtZunQp3bp1o1u3bkyfPh2Ho250/rx58ygrK6Nr167c\nfPPN3HzzzS1ea/78+cyYMYPk5GQee+wxxo4d6z7Wvn17HnzwQS666CJSU1PZsmULV199NdOnT2fc\nuHGkpKTQt29f1qxZ43XZhbnI7mdeqM4/ysn5y+oGS5WUkzJ1XEgWJtmwYUPQamahaE5vy+cWzNjD\nQTjFL3OUhfCd7H4WYuE4WKo1oeoTj7TPTQghzEhq5F7SDmdEDJYK9cC2SPncRMukRi6E7wJZI5dE\nbiGRPjpdGEMSuRC+k6Z1iwjkXOJwS+IRMY+6DawevxDCe5LILSDckrgQQgjvSdN6hPM3iWuHk5rj\nxUR1tEvftmiVNK0L4btANq3Lym4RrC1JPBz3nRZCCCuSpnUTa0s/aVua082wyYjV+4itHr8QwnuS\nyCNQW/vEZf63iGSTJ0/m4YcfNroYQgSM9JFHmEANbJP538Jb4dZHPnnyZDIzM5k1a5bRRREWJn3k\nwqNAjk53bTIihBDC3KRp3cR86SeNtClmVu8jjpT4HY5q8vJKcTiqDTvHV199xXnnnUdycjLjxo2j\nsrLSfWzlypX0798fu93O7373O7755hv3scOHD3PdddfRqVMnzjzzTObNm+c+NnPmTEaPHs24ceNI\nSkpiwIAB7Nixw+8YhWgLSeQRINKSuIgMDkc1Tz65hWef3cqTT27xKxG39RxVVVVcc8013HjjjRQV\nFTF69Gj+8Y9/ALB9+3ZuueUWXn75ZYqKivjjH//IVVddRVVVFVprRowYQf/+/Tl8+DAff/wxzz//\nPB999JH73P/85z8ZO3YsxcXFXH/99Vx99dXU1NT4HKMQbSWJ3MS82f0qUpN4uOz8FSyREP+xYxUU\nF1eSnBxHcXElhYWnQn6OzZs3U11dzV133UVUVBSjRo1i4MCBALz00kv86U9/YsCAASilmDhxInFx\ncWzevJkvvviC48eP8+CDDxIVFUV2djZTpkxh6dKl7nOfd955XHPNNURFRXHvvfdSWVnJ5s2bfY5R\niLaSPvIwFqlJXESGTp3isdvbUVxcid3ejvT09iE/R0FBAd27d2/0XFZWFgAHDhxg0aJF7iZzrTVV\nVVUUFBRgs9nIz88nNTXVfay2tpaLL77YfZ7MzEz3v5VSZGRkUFBQ4HOMQrSVJHITa21P6khP4uG0\nH3cwREL8cXHR3Hff+RQWniI9vT1xcb7/umnrObp27Up+fn6j5w4ePEjPnj3p0aMHDz30EPfff3+z\n923evJkzzjiDXbt2tXjuvLw897+11hw6dIhu3br5VD4hAkGa1sNQpCdxETni4qLJyEj0K4kH4hwX\nXngh0dHRzJs3j+rqat577z22bNkCwJQpU/jb3/7mfvzzzz+zatUqfv75Z84//3wSExN56qmnqKys\npKamhp07d7J161b3ub/88kvef/99ampqeO6552jXrh0XXHCB33EK4S9J5CbmqUZmlSQe7rXRtrJ6\n/IESExPDe++9x6uvvkpaWhrvvPMOo0aNAur6uBcsWMCf//xnUlNT6d27N4sWLQLAZrOxcuVKtm/f\nTk5ODp06deLWW2+ltLTUfe6RI0eybNky7HY7ixcv5n/+53+IiooyJE5hbbIgTBixShIX4SXcFoQJ\nhJkzZ7J3715ef/11o4siwpTsR24RDecSWy2JR8o8an9ZPX4hhPcMG+ymlNoPlAC1QJXW+nyjymJ2\nVkviQgghvGdY07pSah9wnta6uJXXWL5pXZK4MDsrNq0L0VaR0rSuDL5+UGiHk+r8o2iHs83nkiQu\nhBDidIxMpBr4SCn1hVLqVgPLETDa4aR43mJOzl9G8bzFbUrmn332GcuWLbNsErd6H7HV4xdCeM/I\nBWEu0lofVkqlU5fQv9dab2r6optuuons7GwAUlJS6Nevn3tqjuuXnS+PtbOKQWf1JaqjnY3/+2+f\n39/a43X/XEn59m0M6tuf2uIy1q34gKiOdp/PFxMTw7Zt2+jatSvbtm0LWPnkccuPtcPJun+uxJac\nyJBhlxlennB6LITwj+v/0IYNG9i/f7/f5zHF9DOl1CNAmdb62SbPB7SP3FVjri0uw2ZPxH7nDQHd\nazsQ55fm9NAL9s9FpJM+ciF8F/b7kSul4gGb1rpcKdUBGAbMDPZ1a44X1/2yTk6gtriMmhMnA7rn\ntoqLxX7nDdScOElUWook8TAR7J8LIYQIJqP6yDsDm5RSXwGbgRVa67XBvmhURzs2eyK1JeXY7IlE\npaUE/BoqLpbobp0CksSt3HQZythD8XPhKyvfeyuYOXMmEydONLoYhqusrGTEiBGkpKQwduxYo4sT\ntgypkWutfwL6hfq6ba0xB4vUxI1l1p8LEXg5OTm88sorXHLJJUYXBaV8aj11y87O5tixY0RHR6O1\nRinF7t276dKlS4BLGHzvvvsuhYWFFBcX+/15CAvufuaqMZtFa0ncyutthzp2s/1cWPnei9Yppfjg\ngw8YMmSI0UVpk9raWg4cOEDv3r0libdRxM3jDidSExeRzlHtoKC0AEe1w9BzeNK0efvAgQPYbDZq\na2sBeO211+jTpw9JSUn07NmTl156yf3ajRs3kpmZybPPPkvnzp3p3r07r732WovX2r9/P4MHDyY5\nOZnc3FyOHz/e6PjmzZu56KKLsNvt9O/fn40bN7Zadk+DpFxlaignJ4d169YBdYlzzpw59OzZk+Tk\nZAYOHOje4vWee+6hR48e7uc3bWo2gcht1apVnHXWWSQlJbk/A4BFixYxaNCgRq+12Wzs27cPgMmT\nJ3PHHXdwxRVXkJiYyO9//3tmzZrF0qVLSUpK4tVXX2Xfvn0MHTqUjh070qlTJyZMmNBoo5pDhw4x\natQoOnXqRHp6OnfddZf72MKFC+nTpw9paWkMHz6cgwcPtvoZRhJJ5AbxJolbuZ803GNv68JA4R4/\n1CXgl7a8xCtbX+GlLS/5lYgDcY7WNK0JNnzcuXNnVq1aRWlpKa+++irTpk1j+/bt7uNHjhyhrKyM\ngoICFixYwNSpUykpKfF4nfHjxzNw4ECOHz/OQw895N5lDSA/P58rr7yShx9+mOLiYubOncuoUaM4\nceJEm+Np6JlnnmHZsmWsWbOGkpISFi5cSHx8PADnn38+O3bsoLi4mPHjxzN69GicTs8/u1OmTOHl\nl1+mtLSUb7/9tlE3RWufJ8Bbb73FjBkzKCsr4+OPP+aBBx5g3LhxlJaWMnnyZLTWPPDAAxw5coTv\nv/+eQ4cO8eijjwJ1X0SuvPJKcnJyOHjwIPn5+YwbNw6A5cuX88QTT/D+++9TWFjIoEGDuP76633+\n/MKVJHIDSE08sgVyYaBwdqLiBCcrT5IUl8TJypMUnSoy5Bz+Gj58uHsNi0GDBjFs2DA+/fRT9/HY\n2FhmzJhBVFQUw4cPJyEhgV27djU7T15eHlu3bmXWrFnExMQwaNAgRowY4T6+ePFirrjiCnJzcwEY\nOnQoAwYMYNWqVS2W7eqrryY1NZXU1FSuvfZar+J55ZVXePzxx+nZsycAZ599Nna7Haj7opGSkoLN\nZmPatGk4HA6Psbji3rlzJ2VlZSQnJ9OvX8vDnZq2HIwcOdK9Z3tsbPOxKGeeeSZDhw4lOjqatLQ0\npk2b5m6d+Pzzzzl8+DBPPfUU7dq1IzY2lt/+9rcAvPjii9x///307t0bm83G9OnT2b59O3l5eV59\nNuFOEnmI+ZLErdxPGs6xe5rO5qtwjt8lLT6NlHYplDpKSWmXQmr7VEPO4a/Vq1dz4YUXkpaWht1u\nZ/Xq1Y2axNPS0rDZfvkVGh8fT3l5ebPzFBQUYLfbad++vfu5rKws978PHDjA22+/7U7Mdrudzz77\njMOHD7dYtuXLl1NUVERRURHvvfeeV/Hk5eVxxhlneDw2d+5c+vTpg91ux263U1pa2qz53+Uf//gH\nH3zwAVlZWQwZMoTNmzd7dX2gWdN/U8eOHeP6668nIyODlJQUJkyY4C7HoUOHyMrKavSZuxw4cIC7\n777b/RmmpaWhlHJ3HUQ60w92q84/SlRHe0SMJJaauDW4p7PVLzBjhulsRoiLjuO282+j6FQRqe1T\niYuOM+QcLenQoQMVFRXuxw0Tp9Pp5LrrruPNN99k5MiR2Gw2rrnmGr8WvunatSvFxcWcOnXKncwP\nHjzoTkiZmZlMmjSJF1980etzeipH03hqamooLCx0P87MzGTv3r306dOn0fs2bdrE008/zfr1693H\nUlNTW4z1vPPO4/3336empoZ58+YxZswYDh482Oz6R44cafbe0w1qe+CBB7DZbOzcuZPk5GSWL1/O\nnXfe6S7/wYMHqa2tbZbMe/TowUMPPWSp5vSGTF8jj5TmSX+SeCT0k/ornGN3TWdLmTrO71Xiwjn+\nhuKi4+ia2LVNCTgQ5/CkX79+fPLJJ+Tl5VFSUsITTzzhPuZ0OnE6nXTs2BGbzcbq1atZu9a/pS56\n9OjBgAEDeOSRR6iqqmLTpk2sWLHCfXzChAmsWLGCtWvXUltbS2VlJRs3bqSgoMCn6/Tu3ZvKykpW\nr15NdXU1jz32WKN+7ilTpjBjxgx+/PFHAL755huKioooKysjJiaGtLQ0nE4ns2bNoqyszOM1qqqq\nWLJkCaWlpURFRZGYmEhUVBQA55xzDjt37mTHjh04HA5mzpzp82j0srIyEhISSExMJD8/n6efftp9\n7Pzzz6dr165Mnz6diooKHA4H//533TLbf/zjH5kzZw7fffcdACUlJbz77rs+XTucmT6Rt6V50iyk\nJm49/i4MJILPlVwuvfRSxo4dS9++fRk4cGCjfuuEhAReeOEFRo8eTWpqKkuXLmXkyJFendeTJUuW\nsHnzZtLS0pg9ezY33nij+1hGRgbLly9nzpw5pKenk5WVxdy5c92j5729TlJSEvPnz+eWW24hIyOD\nxMREMjIy3MfvvfdexowZw7Bhw0hOTmbKlClUVlaSm5tLbm4uvXv3Jicnh/j4+FabwN944w1ycnJI\nSUnhpZdeYvHixQD06tWLhx9+mKFDh9K7d+9mI9i98cgjj/Dll1+SkpLCiBEjGDVqlPuYzWZjxYoV\n7Nmzhx49epCZmcnbb78N1I0ZmD59OuPGjSMlJYW+ffuyZs0an68frkyx1npLlFK68IHnw3r9a0ni\nItKF01rraWlprF+/nr59+xpdFGFxYb/Wui9Spo4L29W2JIkLYR6uputevXoZXRQhAsr0Tevh2jwZ\niCQeKf2k/rBy7CDxB9r111/P7bffzoIFCxqNHhciEpi+Rh6OpCYuhLm89dZbRhdBiKAxfR+5mcvn\niSRxYTXh1EcuhFkEso/c9E3r4USSeOi1dSlUIYQId5LIAyQYSdzK/aTexB7JS6Fa+d4LIXwjiTwA\npCZujEAshSqEEOFO+sjbSJK4cVw1ctdSqOG61kC4kz5yIXwnfeQmIUncWIFYClUIIzTdCz2c3H77\n7Tz++ONGFyMgmu5B/4c//IE33njD4FL5ThK5n0KRxK3cT+pt7JG6FKqV730w5eTksG7dOqOLAZx+\nA5GWZGdnEx8fT1JSEomJiSQlJXncoCRY/va3v/Hggw969drJkyfz8MMPB7lEbdPwPqxatcrrL1hm\n+lmSRO4HqYkLIYyilOKDDz6gtLSUsrIySktL6dKli9HFCoqamhqjixAWJJH7KJRJPBL2pPaXlWOH\nyIm/qkZTVFZDVY3/feiBOIcnTZu3mzazvvbaa/Tp04ekpCR69uzJSy+95H7txo0bycx1E5o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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize = (8,8))\n", "ax.plot(list_of_cs_ni[list_of_depths < 15], list_of_model_ni[list_of_depths < 15], \n", " '.', color = 'Crimson', alpha = 0.5, label = 'surface')\n", "ax.plot(list_of_cs_ni[(22 > list_of_depths) & (list_of_depths >= 15)], \n", " list_of_model_ni[(22 > list_of_depths) & (list_of_depths >= 15)], \n", " '.', color = 'DarkOrange', alpha = 0.5, label = 'intermediate')\n", "ax.plot(list_of_cs_ni[list_of_depths >= 22], list_of_model_ni[list_of_depths >= 22], \n", " '.', color = 'darkblue', alpha = 0.5, label = 'deep')\n", "\n", "ax.plot(list_of_cs_ni[(list_of_depths < 15) & (list_of_lons < -123.5) & (list_of_lats < 48.6)], \n", " list_of_model_ni[(list_of_depths < 15) & (list_of_lons < -123.5) \n", " & (list_of_lats < 48.6)], \n", " '.', color = 'ForestGreen', alpha = 0.5, label = ' Juan de Fuca surface')\n", "ax.plot(list_of_cs_ni[(22 > list_of_depths) & (list_of_depths >= 15) \n", " & (list_of_lons < -123.5) & (list_of_lats < 48.6)], \n", " list_of_model_ni[(22 > list_of_depths) & (list_of_depths >= 15) \n", " & (list_of_lons < -123.5) & (list_of_lats < 48.6)], \n", " '.', color = 'CornflowerBlue', alpha = 0.5, label = ' Juan de Fuca intermediate')\n", "ax.plot(list_of_cs_ni[(list_of_depths >= 22) & (list_of_lons < -123.5) & (list_of_lats < 48.6)], \n", " list_of_model_ni[(list_of_depths >= 22) & (list_of_lons < -123.5) \n", " & (list_of_lats < 48.6)], \n", " '.', color = 'DarkOrchid', alpha = 0.5, label = ' Juan de Fuca deep')\n", "\n", "ax.plot(np.arange(0,35), color = 'grey')\n", "ax.grid('on')\n", "ax.set_title('DFO Nitrate')\n", "ax.set_xlabel('DFO')\n", "ax.set_ylabel('Nowcast-green');\n", "ax.legend(loc=4)\n", "print('surface bias = ' + str(-np.mean(list_of_cs_ni[list_of_depths < 15]) \n", " + np.mean(list_of_model_ni[list_of_depths < 15])))\n", "print('surface RMSE = ' + str(np.sqrt(np.sum((list_of_model_ni[list_of_depths < 15] \n", " - list_of_cs_ni[list_of_depths < 15])**2) /\n", " len(list_of_cs_ni[list_of_depths < 15]))))\n", "xbar = np.mean(list_of_cs_ni[list_of_depths < 15])\n", "print('surface Willmott = ' + str(1-(np.sum((list_of_model_ni[list_of_depths < 15] \n", " - list_of_cs_ni[list_of_depths < 15])**2) / \n", " np.sum((np.abs(list_of_model_ni[list_of_depths < 15] - xbar) \n", " + np.abs(list_of_cs_ni[list_of_depths < 15] - xbar))**2))))\n", "\n", "print('intermediate bias = ' + str(-np.mean(list_of_cs_ni[(22 > list_of_depths) \n", " & (list_of_depths >= 15)]) \n", " + np.mean(list_of_model_ni[(22 > list_of_depths) \n", " & (list_of_depths >= 15)])))\n", "print('intermediate RMSE = ' + str(np.sqrt(np.sum((list_of_model_ni[(22 > list_of_depths) \n", " & (list_of_depths >= 15)] \n", " - list_of_cs_ni[(22 > list_of_depths) \n", " & (list_of_depths >= 15)])**2) /\n", " len(list_of_cs_ni[(22 > list_of_depths) & (list_of_depths >= 15)]))))\n", "xbar = np.mean(list_of_cs_ni[(22 > list_of_depths) & (list_of_depths >= 15)])\n", "print('intermediate Willmott = ' + str(1-(np.sum((list_of_model_ni[(22 > list_of_depths) \n", " & (list_of_depths >= 15)] \n", " - list_of_cs_ni[(22 > list_of_depths) \n", " & (list_of_depths >= 15)])**2) / \n", " np.sum((np.abs(list_of_model_ni[(22 > list_of_depths) \n", " & (list_of_depths >= 15)] - xbar) \n", " + np.abs(list_of_cs_ni[(22 > list_of_depths) \n", " & (list_of_depths >= 15)] - xbar))**2))))\n", "\n", "print('deep bias = ' + str(-np.mean(list_of_cs_ni[list_of_depths >= 22]) \n", " + np.mean(list_of_model_ni[list_of_depths >= 22])))\n", "print('deep RMSE = ' + str(np.sqrt(np.sum((list_of_model_ni[list_of_depths >= 22] \n", " - list_of_cs_ni[list_of_depths >= 22])**2) /\n", " len(list_of_cs_ni[list_of_depths >= 22]))))\n", "xbar = np.mean(list_of_cs_ni[list_of_depths >= 22])\n", "print('deep Willmott = ' + str(1-(np.sum((list_of_model_ni[list_of_depths >= 22] \n", " - list_of_cs_ni[list_of_depths >= 22])**2) / \n", " np.sum((np.abs(list_of_model_ni[list_of_depths >= 22] - xbar) \n", " + np.abs(list_of_cs_ni[list_of_depths >= 22] - xbar))**2))))\n", "\n", "print('bias = ' + str(-np.mean(list_of_cs_ni) + np.mean(list_of_model_ni)))\n", "print('RMSE = ' + str(np.sqrt(np.sum((list_of_model_ni - list_of_cs_ni)**2) /\n", " len(list_of_cs_ni))))\n", "xbar = np.mean(list_of_cs_ni)\n", "print('Willmott = ' + str(1-(np.sum((list_of_model_ni - list_of_cs_ni)**2) / \n", " np.sum((np.abs(list_of_model_ni - xbar) \n", " + np.abs(list_of_cs_ni - xbar))**2))))" ] }, { "cell_type": "code", "execution_count": 41, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Feb-Mar\n", "bias = 1.51844745\n", "RMSE = 3.07165204446\n", "Willmott = 0.762933201724\n", "April\n", "bias = -1.62812416484\n", "RMSE = 6.09659347557\n", "Willmott = 0.732622235208\n", "May-Jun-Jul\n", "bias = -1.96608350352\n", "RMSE = 4.40444604591\n", "Willmott = 0.800440816448\n", "Sep-Oct\n", "bias = 5.58332764185\n", "RMSE = 6.56453936403\n", "Willmott = 0.75976477942\n" ] }, { "data": { "image/png": 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REVEfun37NvLz8zFnzhy/XN/m5csUzlglIktSVRQUFMDlciElJQUiQV8ElYjIqLNnz+LA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f/99/k/3/oWn2hqwgKBrVv5yte/zqhRoz523yvvX0L6jp0cevF5xgwZwsMrV2hQVUQSwXPXuVeq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\nzy0ivdL5B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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig,ax=plt.subplots(1,4,figsize=(24,6))\n", "ii=(list_of_depths < 15)&(list_of_datetimes<=dt.datetime(2015,4,1))\n", "ax[0].plot(list_of_cs_ni[ii], list_of_model_ni[ii], \n", " '.', color = 'Crimson', alpha = 0.5, label = 'surface')\n", "ax[0].set_title('Feb-Mar')\n", "print('Feb-Mar')\n", "print('bias = ' + str(-np.mean(list_of_cs_ni[ii]) + np.mean(list_of_model_ni[ii])))\n", "print('RMSE = ' + str(np.sqrt(np.sum((list_of_model_ni[ii] - list_of_cs_ni[ii])**2) /\n", " len(list_of_cs_ni[ii]))))\n", "xbar = np.mean(list_of_cs_ni[ii])\n", "print('Willmott = ' + str(1-(np.sum((list_of_model_ni[ii] - list_of_cs_ni[ii])**2) / \n", " np.sum((np.abs(list_of_model_ni[ii] - xbar) \n", " + np.abs(list_of_cs_ni[ii] - xbar))**2))))\n", "ii=(list_of_depths < 15)&(list_of_datetimes<=dt.datetime(2015,5,1))&(list_of_datetimes>dt.datetime(2015,4,1))\n", "ax[1].plot(list_of_cs_ni[ii], list_of_model_ni[ii], \n", " '.', color = 'Crimson', alpha = 0.5, label = 'surface')\n", "ax[1].set_title('April')\n", "print('April')\n", "print('bias = ' + str(-np.mean(list_of_cs_ni[ii]) + np.mean(list_of_model_ni[ii])))\n", "print('RMSE = ' + str(np.sqrt(np.sum((list_of_model_ni[ii] - list_of_cs_ni[ii])**2) /\n", " len(list_of_cs_ni[ii]))))\n", "xbar = np.mean(list_of_cs_ni[ii])\n", "print('Willmott = ' + str(1-(np.sum((list_of_model_ni[ii] - list_of_cs_ni[ii])**2) / \n", " np.sum((np.abs(list_of_model_ni[ii] - xbar) \n", " + np.abs(list_of_cs_ni[ii] - xbar))**2))))\n", "ii=(list_of_depths < 15)&(list_of_datetimes<=dt.datetime(2015,9,1))&(list_of_datetimes>dt.datetime(2015,5,1))\n", "cs=ax[2].scatter(list_of_cs_ni[ii], list_of_model_ni[ii], c=np.array([np.float((ii-dt.datetime(2015,3,1)).days) for ii in list_of_datetimes[ii]]), alpha = 0.5, label = 'surface')\n", "ax[2].set_title('May-Jun-Jul')\n", "plt.colorbar(cs)\n", "print('May-Jun-Jul')\n", "print('bias = ' + str(-np.mean(list_of_cs_ni[ii]) + np.mean(list_of_model_ni[ii])))\n", "print('RMSE = ' + str(np.sqrt(np.sum((list_of_model_ni[ii] - list_of_cs_ni[ii])**2) /\n", " len(list_of_cs_ni[ii]))))\n", "xbar = np.mean(list_of_cs_ni[ii])\n", "print('Willmott = ' + str(1-(np.sum((list_of_model_ni[ii] - list_of_cs_ni[ii])**2) / \n", " np.sum((np.abs(list_of_model_ni[ii] - xbar) \n", " + np.abs(list_of_cs_ni[ii] - xbar))**2))))\n", "ii=(list_of_depths < 15)&(list_of_datetimes<=dt.datetime(2015,12,1))&(list_of_datetimes>dt.datetime(2015,9,1))\n", "ax[3].plot(list_of_cs_ni[ii], list_of_model_ni[ii], \n", " '.', color = 'Crimson', alpha = 0.5, label = 'surface')\n", "ax[3].set_title('Sep-Oct')\n", "print('Sep-Oct')\n", "print('bias = ' + str(-np.mean(list_of_cs_ni[ii]) + np.mean(list_of_model_ni[ii])))\n", "print('RMSE = ' + str(np.sqrt(np.sum((list_of_model_ni[ii] - list_of_cs_ni[ii])**2) /\n", " len(list_of_cs_ni[ii]))))\n", "xbar = np.mean(list_of_cs_ni[ii])\n", "print('Willmott = ' + str(1-(np.sum((list_of_model_ni[ii] - list_of_cs_ni[ii])**2) / \n", " np.sum((np.abs(list_of_model_ni[ii] - xbar) \n", " + np.abs(list_of_cs_ni[ii] - xbar))**2))))\n", "for ii in range(0,4):\n", " ax[ii].plot(np.arange(0,35), color = 'grey')\n", " " ] }, { "cell_type": "code", "execution_count": 42, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig,ax=plt.subplots(1,1,figsize=(24,1))\n", "plt.plot(list_of_datetimes,np.ones(np.shape(list_of_datetimes)),'k.')" ] }, { "cell_type": "code", "execution_count": 43, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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vea56PDd9zHXPhx9efy+FPf5sZVojPxf4F2ttR64PZIxpACYDi4Eaa+0mSCR7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\nM3GRzO2K7eIbf/wG33riW3zjj9/IKRE7cYz+9D4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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize = (8,8))\n", "ax.plot(list_of_cs_ni[list_of_depths < 15], list_of_model_ni[list_of_depths < 15], \n", " '.', color = 'Crimson', alpha = 0.8, label = 'surface')\n", "ax.plot(list_of_cs_ni[(22 > list_of_depths) & (list_of_depths >= 15)], \n", " list_of_model_ni[(22 > list_of_depths) & (list_of_depths >= 15)], \n", " '.', color = 'DarkOrange', alpha = 0.8, label = 'intermediate')\n", "ax.plot(list_of_cs_ni[(list_of_depths < 15) & (list_of_lons < -123.5) & (list_of_lats < 48.6)], \n", " list_of_model_ni[(list_of_depths < 15) & (list_of_lons < -123.5) \n", " & (list_of_lats < 48.6)], \n", " '.', color = 'ForestGreen', alpha = 0.8, label = ' Juan de Fuca surface')\n", "ax.plot(list_of_cs_ni[(22 > list_of_depths) & (list_of_depths >= 15) \n", " & (list_of_lons < -123.5) & (list_of_lats < 48.6)], \n", " list_of_model_ni[(22 > list_of_depths) & (list_of_depths >= 15) \n", " & (list_of_lons < -123.5) & (list_of_lats < 48.6)], \n", " '.', color = 'CornflowerBlue', alpha = 0.8, label = ' Juan de Fuca intermediate')\n", "\n", "ax.plot(np.arange(0,35), color = 'grey')\n", "ax.grid('on')\n", "ax.set_title('DFO Nitrate')\n", "ax.set_xlabel('DFO')\n", "ax.set_ylabel('Nowcast-green');\n", "ax.legend(loc=4)\n" ] }, { "cell_type": "code", "execution_count": 44, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "(560,)" ] }, "execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "source": [ "np.shape(list_of_depths)" ] }, { "cell_type": "code", "execution_count": 45, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "surface bias = -3.69437277052\n", "surface RMSE = 10.392148849\n", "surface Willmott = 0.767507596148\n", "intermediate bias = 1.1427860871\n", "intermediate RMSE = 7.7789016369\n", "intermediate Willmott = 0.715961648557\n", "deep bias = -3.14838055497\n", "deep RMSE = 6.28644549343\n", "deep Willmott = 0.867582618132\n", "bias = -2.96680396388\n", "RMSE = 7.59516432317\n", "Willmott = 0.895706959193\n" ] }, { "data": { "image/png": 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LZeX++zsYGQnjdFpRiqxGOFWHzWbmhhtW0ds7xpIlDvx+jRtuWIXHY+fee5+f1YhlM3Yz\ntXKdi0FMvx5PPbVrztciWyObdIrdlMdmM7Nx4zjnnHNR3ivmVTrGVygIwgRRDZ7ZBiEf2D2wYeuM\nxrzQ8czZ6rjzITG2225bP+UP9t/+7Xr+/u+fxGrtorv7IsLh2JSxp87a3G4rTz99nKoqeOCBl7n9\n9o1JgxQKRZOGt7t7BFC0tNTmZDhbW520tTnx+UJ4vQ7WrvUCufVNz8XYFcogFvJ65LKvXA3+fLBa\nTclxuFz2gu+/XJHyM0E4VQh0wXPbweYGzQ/rbwNnS8ZNy7k2OhAI8ZWvPIWmxaYlMx07Nsx//ud9\nmExN+P2NyZ7qCcPvdlvp7x9HKYWmRdi+fR9LljgYG4tM6b+eqn+2GXkmMpWj5Vqilst2srSscZFe\n64IgZMfRODETT8zIq71ZNy12PHOuaFqUL3/5KX79607q6mysXt0wZWzHjr2M2WxmeNiLx2PH5bJw\n4MAA//7vLxGJxDh48CQrV9ZTXT0xO0zMnNNntumzR8hv8ZJMM9RcZ8C5zm7L4XoI5YEY8hJwysdl\nywgj6JizBrNtwp0+PjBhxGdwq8/kvi2Uyz2hI5/99fcHCYdj1NXZGB7WsJkVXtsQRK0MDo+wZ88f\n+MQnPkwkMmHE//mfn+Wxx16np2eEZcvchEJR9u3rJxSKoutw552bssZS041lNsN5St9TZYZRdOSL\nGHJBOJUw27K601PJFs8sdM1wvi78xkYHXq+D1asbsFrgS+/cje3l/yFuq+PRA01s3ryZxYsnPA1d\nXQGOHQvQ3x9kbCzKkSN+2tpcjI9H8HjshMMxAoFIyWa20qFNKBZyN5UAIzwhGkEDGEPHTBoKaSwy\nuW8LWTO8efNmuroCs+4vXVPyAcM2hO3l/wWbmz2HxzErnQ0bNkyJh1dXWxge1pgoU1N8/euX89Of\nHiYcjhWsNCmXe6qccw7AGL8LMI6OfCmfO0kQyoEFKs8qBKUwFoWuGZ5tf9k0tbQ40cZMdPkXYWKY\nXd0utmx5N+FwLC1JTcfhMGMyKVpanJx2Wi13331pyRPFyjXnQDAG0mu9BFRqb+xUjKABZtGRKM96\nbvvE/6NaycaVD9k0ZDIW+TJbn/Bc1/VOGGi/X5vWkSy1v3difzffvI7rrls5bRxdXSMZNQUCIe64\n82nu2Xkh//F8E5e87Qo83sVTzkFv7yjj41HOOaee+noHl1zSnGzFWsg1v3P5bWQ7H+XCKfH7NjAy\nIxeEBMH+iYxum3vi/+MDOcWTy4X51hfn2id8rjXDM/X3fuihA1NaoyZapbpcVpxO6xQDmJq5vmbN\nGK66KkyWM9C06JRz0NRUi1JQW2vFZKriox9dm/9JLRClqKEWTl2kjlwQEuTZMKUcmU99cVdXgO3b\nn01pgjKRqe33a1NqrOfK4cM+vvrVp1mypGZK3Xbqcf1+jQ9+cCUPP/xK8vXNN5+PzWZOaurqCnDP\nPXs5cqSHc8/tZO/eNlaubE7WlANTysa6u0eSXdrKMT4tCKlIHbkgzIc8yrPKlfnUF6fOZpuba9F1\nCuYK1rQoDz7YQUfHIB0dQ1x55dLkPhOLmAwNjeP1OlixwjPFs5C+PKjbbaWhoRq3e4ixsTbOPruJ\n+vrqrC1NrVYTIyNhiU8LhkUMeQkwQm2jETRADjpyLM9aSIp1LebbBGUm+vuDBAJhLruslaNHA3zg\nAyt46qldbNp0CTt27EPTYlitJj75yXPx+8PTVh5Ld8tfemmUw4fdvP/97+NrX3u+JC1Ns2GE34YR\nNIBxdOSLGHJBEJLk2gQlX1JXBQOdRx45yMUXx+jqGqGzM8CSJTX4/Rrbtj1DLBaf5gJPTWLz+0+y\nd28HH//4x3C7q2eNPUt8WjA6EiMXBKEkTMTI9yZ7m9988/ncf39H0rhfdNFpxGI69fXVybi811ud\nrAmfSIAbp65uP1deuZELLlgvDVYEwyExckEQypbUVcE8HnsyK/6KK9o4cWKMj33sPH70o0PJz10u\nyxR3+q23rmP37qc4caKOdesuKOsGK4JQSqSOvAQYobbRCBrAGDoqVUN6DfqRI/vweOyMjUVoa3Ox\nfLl7yud+f3hKDXlnZx/79z/De97zbgYGxuddM18oKvV6pGIEDWAcHfkij7CCIJSM1Bi81WrKGLtO\nfN7Y6MDlstLdPcLixdX89rf/xyWXvA2Hw8nQ0Agul7VsG6wIQimRGLkgCGWJpkW56649dHUFiEbf\noK0tjNm8Hl1XjIyEcTqt3HjjqoJ2aROEhUZi5IIgGIb+/iAjI2EWLYpjs50kFLoAv38MeLNRjc1m\nFiMunPJIjLwEGCFuYwQNYAwd5aZB18JEe/rQtXBe30vVkanHu9ttpa7ORnX1q3R2NhAOW2lurqWp\nqXbGHu6lptyux1wwggYwjo58kUdZQRDmjK6F8X3jIeK+Eao8Tjy3fAhls+a1j9RmLxMrlkEgMNFO\nddOmCIcO1fKZz1xHOKxnbFQz06pvsga4cCogMXJBOAUolkGL9vQx/M1HqHLXEvePUvfpD2Buaszr\n2Ine6WZzFT5fCLPZREtLLcPDQ7jd+xkdPQ+325O1xCy9V3uih3u5rwEuDxlCJiRGLgjCNIpl0DQt\nSt+4GYuzFot/lCqPE1N93bRt7r57Dz09ozQ313L77RunHdvtttLRMYjPp+F2W7n44mb8/hAu12GC\nwTaczro5rWleiDXAi2Vsy/0hQ6gsJEZeAowQtzGCBjCGjnw1FGKd8nQShuhf7n2R/xg/k+qPvjej\nW72ra4QnnjjKyy8P8sQTR5OrqqXq8PvDrFrVwOWXt7FmjZePfGQtV11VxdKlHmprz5i1xCzbGunz\nXQM8oXH79mfZtm1v1vj7XO6pYlyT+WCE3wUYR0e+yCOgIJQphZoNFmPRkCmGyK/hs9RSkzU2rgB9\n8v/TPYaNjQ68Xgc+Xwiv10F1dYiXX36Wj370ozgczpx6pGda9W2+PdYLMaPPRrEXchFOLSRGLghl\nSKFdr/NZp3w+40vUgvf2jtLUVMsdd0x3raeOr77exve//yBr165lw4YN8x7nfJjLNcjn4avQ10Qw\nBnOJkYshF4QyJFsCVzmRqyHKx2Dt3r2bw4cPc8MNN6BUXn/LikI+Y081/C6XleuvX0VrqzSrEfJj\nLoZcYuQlwAhxGyNogMrRMVN8dyE1pNZrJ9zZsxmqbNul6xgcHGT37t1ce+21ZWHEIfvYU0noSLji\na2osPPHEUb761adnjK2XE5Xyu5gNo+jIF3lUFIQypBzX0M7H1ZzNxZz6firxeJxHH32UzZs34/F4\nctpXuZF4+OrsDACKJUtqCh5bF4RMiGtdEIQZSRhSTYtx773Pz+ruz2bwZ3oQyORSn5j9j/DAAx2M\njIQrokxL06J0d49w//2VM2ahvJA6ckEQCkp617VcVhzLlu3d1TVCZ2dg2kw14VLfsmXLFCO+bdte\nOjsDdHQMcdllLXR2BujuHmX58rqMxy0HbDYzy5d7uOOOjWXlTRGMjcTIS4AR4jZG0ADG0FFKDalG\neWQkzA03rObmm8/nuutWTts2tUd6enxf06I8+GAHHR2DPPlkJ06nlQMH9iZd6pdffvkUl3riuEuW\n1BCPx9m58ygdHYM88MDLZRdzznQ9cs0fKBeM8LsA4+jIl6LfZUqpo4AfiAMRXdcvVEp5gEeApcBR\n4H26rvuLPRZBEPJjer2znR079k1xjwPTXOC33rqOQCCSnJF2dQUIBMJcccVSTpwIcuONq+jqepE9\ne/ZgNptZv3591uNu2tSE3x+mubmWQCAsMWdBSKPoMXKl1BHgAl3XfSnvbQOGdF2/Rym1FfDouv75\nDN+VGLkgzIFcE8Ry2S61BKu/PzilLO7mm9fx0EMHki7wK65oY2wsMi1+nik+PjIyzH333ceWLVum\nJbilHtflskx7eKiUma4g5Eu5xsgV01347wYum/z3/UA7MM2QC4KQP/k0a8llu9SuaekzdF3Xky7w\njo5BTpwYo63NNS1+np6Fb7FUZc1Sz3TccsvgF4RyohQxch3YqZR6Rin10cn3Fuu63geg6/oJoDHr\ntw2AEeI2RtAAxtAxm4Zc+3jPpd93el/z1lYnHo+dsbEIV121jC98YWOKu33q+uCpceM9e/bw2muv\n5dy9rZxjzqfCPVUpGEVHvpTiV3GxruvHlVJe4Aml1CEmjHsqWf3nN910E8uWLQOgrq6O8847j82b\nNwNvXrRyf52gXMZzKr9+4YUXymo8c3mdINvnmzZdgsdj56WX9uB0WvF63zZ9+6jGK889zrCvH1iN\nx2PnwIG9HD5symk8LS3O5OutWy9hYGCcAwf20tX1Ai0tl7Bt297k8b/2tY/i94d55ZVnsFpNrF69\nml27duFyufjtb3+bt/5Nmy6hvz+Y3F+27Z944kmGh0NcffUVU44vv2/jvq7E33fi30ePHmWulLSO\nXCl1JzAKfBTYrOt6n1JqCfAbXdenpcFKjFyoVBa6icmMrUWjGjyzDUI+tCoPA0s/jfc0d8HGmdpe\ndmhoHJvNTCwWx+Ox87nPref733+QNWvWcOGFF+asJbWJTD5hg4GBIB0dg6xa1YDX65D4ulD2lF2M\nXCnlAKp0XR9VStUAVwFfBh4DbgK2ATcCjxZzHIJQSsphrelMq4ElCfZDyAc2NzbNR0v9ONjqC3bs\n1Di61WpC06LU11fj84Vob9+N2WzO2aWeXsd+5ZVLGRgI4nbbZqwrT9SsV1eb8fk0LJYq6bImGJZi\nx8gXA7uUUs8De4Cf67r+BBMG/MpJN/sVwFeLPI4FJd0FV4kYQQOURkex15qetwZHI9g9oPkn/l/t\nTX6U2kt9rqTG0e+8cxNerwO/X6OuLsb+/c8ke6kndMx0zNT+5Tt3HuO++/azf/8gO3cey1pXnlqz\nvnfvCZxOCydPhibDDIVfLtQIvw0jaADj6MiXok4TdF1/Azgvw/sngXcU89iCsFCU/VrTZhts2Arj\nAxNG3GwDCutJSM847+sb45e//CHnnjs1S322Y07tX67T3OxE10HT4ixf7s5YV97fH0zWrPf0jFJb\na2F8PEaZrMMiCAVHeq0LQhGoxLWmi7l06h/+8Adee+21acuT5nLMif7lozzwwMsEAmFcLiuRSJz+\n/mDGNc5THw6qqhThcIz6+uqyXQ5WEFIpuxi5IJyqzBijLlOK5UkYHBxk165dU3qpTzmm24JvYBCP\ndxEul4WursCUJMGJ/uV13H77xmSDmG3b9jI2FiEWi087XmrNenozGZutiqef7mXlykW4XPasY17o\nZEVByAeZkZeA9vb2ZMlBpWIEDWAMHcXUUGhPQjwe57vf/W7GLPX29nY2X7IJbfc2Bvr8uDxuduy+\nHJ8/MqX9a7pBPXzYx/XX/y+6DkrBf/3Xu1i+PHNTmVRNNlsV73//z/H5NDweGz/72XsyGvN8Qwxy\nT5UPRtAxlxm5LJoiCEIy4QwoaOOVRC/1rFnqwX5scR8tLU78JwP4BnzJJMHu7lG2bdvL9u3Psm3b\n3rSkNpXy/5n/5iW8I0eO+PH5tMn9axw65Mu4fbGTFQWh0IjPqARU+hMiGEMDGENHoTWkzkBdLivX\nX7+K1tb5G/OZXOrwZmMa7B4I+Whc4sHj9eCbXDUt0f41fTnU1lYnV165lN7eUZqaamlpqc1pPCtX\nLsLjsSVn5GefnXkWn2+IQe6p8sEoOvJFXOuCUClEtYkacEdjMtO8ECQSzmpqLDz55DFWrWqgrc01\nr6z1mVzq04hqyQx6LWZKuvYhe/OXuYYAAoEQhw75OPtsz6wx8u7uUXRdL8hDjSDkirjWyxQj1DYa\nQQNUsI5EN7bnttP+75+YeF0gEjPQEyfGAMWSJTUzupRzqTWf1aVOyrUw28DZAmbblJ7q6X3dU43p\nXHuvu1x2Nmw4bUYjnuChhw5w773PZ3DrZ9FRwRhBAxhHR77IY6YgVAIp3dgId03MYJ0tBdl1wmB2\nd49w//1vrinu9Vaja2Figz5MDR6UzUogEOIrX3kKTYtlbXk6m0s937EtRPZ/pjh5pVUhCKcO4loX\nhEogpT86ds9EQ5cCutcTpLqsrcTxfeMh4r4RqjxOHB97P3d8+Wl+/etO6upsrF7dwNatF00xcLO5\n1CulrKtYkKOjAAAgAElEQVQc2uwKpyZSRy4IRiVLN7aZmHCBjwDkHOdNnQFHe/omjLi7lrhvhOOH\n+giHY9TV2Rge1rDZzNMSwWZyqVeScUxfP71cxykIIDHykmCEuI0RNECF65iMJbfvemrWTTUtyl13\n7eH66x/n+uv/l7vv3jM9zhvVINCVNd5uavBQ5XES949S5XFy2tmL8XodrF7dwNvf3saXvjS1o1rC\npZ7opZ5Ourv6sceeyE//HJlr//hc4/AVfU9NYgQNYBwd+SKPmYJgQPr7g/T2TmRdA/T0jE2N8066\n6rWAj/7xRTReeRu2Gkea69uK55YPERsaxlRfh7JZs85S4/E4jz76KJs3T+2lnkp6WZfbXfywWSV5\nAQRhrkiMXBAMSGJGvnPnMUDnqquWcfvtKTPoQBfaU9vZ9qMGfCcjeFZs5Natm6e0M00YvVzi2r/7\n3S5eeeUQN954A3a7ZcZxldJdXcz+8YJQDCRGLggCMOEWvuOOjdx442pAn+4idjTSP74I38kI7job\nvlETBw/6pmVqe73Vs85oe3tP8Jvf/I5A4DzuueeZGWe9pc5CL/uV6AShAEiMvAQYIW5jBA1gDB1T\nNMwQ504sNrJ8uWe6YTXbaLzyNjwrNuKvXY+nvoYVKzx4PHb8k53VvN7qWduVxuNxfvazxwgG23A6\n3cnWqrnEpEtxLdJr0YF5r7eejuHuqQrGKDryRWbkQmkpUneyU5J5lqTZahxs/dI7pri602Pgs81o\n9+zZQ3W1FYfjdIaHNZxOa3K50Xxi0qnue5i+UMp8SHgBJF4uGBWJkQulo0S10KcMgS54bvtEkxjN\nD+tvm3eTmEzx8Gxx7cHBQe677z62bNmCw+FkYGCcUCjKvfc+n1dMOr3Xu66TbEozJ2Ob5WFR4uVC\nJSAxcqG8Se1OFvIVtDvZrBjRE+BoTC44gt0zUV8+D2aasaY/UGfKUk/MevONSae677u7R5L7mnDT\nj2C1mnKfnc/wsCjxcsGoiCEvAUZYI7cgGgpseHIm5Y97+4FhNn/83yramCevxRyaxMxEpnh4tmS3\nROOXtWvPp6srkDS0+TRSSehINbDNzbXoOvj9Gi6XdUrL2Jxm5zM8LBaryYv8vssHo+jIFzHkQuko\nsOHJmSL2KV9wEguOFIBMM9b+/iADA0HM5ioGBoIMDIxjt2vs2rWLG2/8MP/4j0/T0zNKc3Mtt922\nHr8/jN1uoqdnBJfLknM3uVQDC0xz0+fc73yWh8WF6t0uCMVEYuSC8ZHYfM6kx8MDgRDvec/Pkmt4\n/+Qn1/LjHz/MmjVrWLToTK6//n/R9QnX+6ZNTYTDMX7xi6O43VYWLbLzs5+9Z9blQrMlts05OS1l\nWdTZrnOl9H4XTh0kRi4ImVgoT0CFkG7MUmesfn+YVasasFhMRCIxnnrq6WQv9QMHhtC0OGazIhaL\n4/drmExVjI6GJ5dC1Th0yMfatV76+4N43WbMIyPJldRmM9RzdoXn6KWQLHbBKEgdeQkwQm1jxWvI\no095uVPIa5EwZtu3P5tx3e3GRgderwNd12lo0Nm//xmuvfZawuEYP/jBQSyWCSP+jncspbXVhdVa\nRW2tlfHxCB6PjWXLXGzbtpd/vudpvvze79L39f+eWFEtMMpPvvsDTg6MTatRT+2NnvpgUej679Sc\ngIGBIC++2D+n/Vf8bwNjaADj6MgXefwUhFOY2dbdTsyK+/rG+OUvf8i5505kqXd1BQgEwlx55TJO\nnAjysY+dS0vLRAnal798MUePBjj7bA9+f3iirMyi0+fTOGlysWRwmJP/9D3Mrx2k+uRKhs86i0Xe\nGrze6oyzZIBt2/YyMBDEajVx552bprjrc3WPp9eqBwJhdB0GBoK88soQDz54gP/7v6MyMxcqDrlb\nS4ARsiiNoAGMoaOQGmYryUoYv6NH92O1WpLLk6Z+r63NmWwBm3gI8HprgIkHAY/HzsmBMRZ5LDTo\nPSirEz0S4Yrz1/HWoREi730Lp61pxWYz09UVmPZgoes6AwNBXn55kOFhDaUUd911SbIPfC7u8dTt\nnE4rsVicX/+6i3g8zurVXlasWER9fXXuSXUpyD1VPhhFR76IIReEUxibzcytt67j4MGTrFixaIoR\nTBg/v/8kLtdLfOITW5LLk+Yav05ud9xPw+u7sASPo2obGX6ujbhvlGqvi6Y1zajJ72d7sLBaTQwP\na9TV2ZIJeS0tzlk9CgnSa9VHRyPouo5Sing8TnW1bUprWkGoJCRGXgKMELcxggYwho58Ncy0Hrem\nRdmxYx8PP3yQHTv2TdlmwviN43QeJhhsIxKZmn2e63rdAHpwEBUNYKpvoooxPB9+By+e34rnlg+h\nbNYp+0ztjZ6oTb/zzk1cccVSVq9uwOt1JI1twvDPZoRTt2tqqmX5cjdKKZSCtjYXd965acox8+FU\nvKfKFaPoyBeZkQtCOVCkznOzuZ5nmtE2Njqoq+sjEgGH4/SkkcynZCt5/KExPEEvW/9iAJvLg3I3\nY2ronGLEE2Sq9Xa57Nx11yXTPAB5ewZSatU/8pFRUleGm6lMThDKGakjF4SFpoh17rP1F5/J0Cd6\nqf/Jn3yQ5ctPyysmHQiEePHFATQtzqOPvkZ9fTV+X5DbPrmUlrcslRJAQciC1JELQiWSaw/6Ocza\nZ0tmyzajTe2lfs45rcntc4lJDwyMcc01P+Ho0QBmcxVnnOHm3HMb8Xpr8J5+Bpjlz44gFBKJkZcA\nI8RtSqlB18JEe/rQtXDB912W1yLRVlTzZ+9Bn5i1P7ed9n//RMb1xzORKeacaZv0WPeuXX8gGoW1\na89PvqdpUTQthstlzRqT1rQon//87zh40MfYWJRIJM6SJbXccMOqaccvy2sxB4ygwwgawDg68kUe\njYWyQtfCEw1DfCNUeZzTkqEMSS6d5+bRLz7f/uK9vSf4zW9+RyBwLvfc88yUWu5E+dbNN5+fMdGt\nq2uE/fsHiUZjhEIxamrMnHlmHWvXeqU2WxCKhPyySoARahtLpSE26Jsw4u5a4r4RYkPDmJsaC7b/\nsr0Ws7UVTVkMZPPGtUVbOS4ej/Oznz1GMNiG01k3pZY74VL3+7VkNnkmlAK3247VGuGqq5Zl9QSU\n7bXIEyPoMIIGMI6OfBFDLpQVpgYPVR5nckZuqq9b6CGVB0XsF5/IQne7reza9QdsNgsOx+kMD091\nn+eylndrq5MNG5bg8x3jjDPcuN02AoGIZIQLQhERQ14CjLBGbqk0KJsVzy0fIjY0jKm+ruBu9Yq+\nFol+8Rk0zGUVL02LcvjwMP/xHy8RicQ4erSX9eu7qaq6iL/5mwsIBCJTEuByXcDE7bbhdFoJh+Mz\nGv2KvhYpGEGHETSAcXTkixhyoexQNmtB3elGZy6reGlalLvv3sPPf/46vb1jLFvm5KKLetG0pWha\nFYFAZFpc3WYz07LECsHjYMqcOd/fHyQYjPLOd57OiRNBbrxxlcTGBaHIyC+sBBjhCdEIGsAYOtI1\n5NqmNP07PT2jmM1VmM1VnHbaEGBibGwxXm+WWXQO9e6ZerDnqqNSMYIOI2gA4+jIFzHkgpCgSN3V\nis1steLZvtPcXEtHxyBnnWVl7dohrrrqvSxZ0khLS23mWXQO9e5zXkNcEIQ5I3XkJcAItY1G0AAz\n6Eip0+aZbTnXaS8E6RpyqRUPBEI8/XQvgUAo+Z3bb9/IAw+8kz/90zBwBj/6UTcPPXQg+4FzqXcn\nc116pn7vhr+nKggjaADj6MgXeVwWBMi9u1oJ0LUwsUEfpgZPzsl+2WrFEwltn/70ryabuNh45JFr\nCIViNDY6GBg4hNVqIRBonN01P8fM+bnE8AVByB3ptS4IUNR+5/lQyIY4CQN64MAg7e3dvOUtdQwN\njbNxYxMmk6K5WVFT8yI3/vk7+fcHh/H5I0UxtLP1excE4U2k17ogzJUi1mnnQyEb4nR1jdDZGaCl\nxYnZrHj1VR9VVfCLXxyhtbUWZ+1xLmoKs7jzPrZe7mFg6afxnuYu+Gx5LjF8QRByR2LkJcAIcRsj\naIBZdCS6qy1goluyIY5/NGtDnFyuhaZFeeCBDjo6hti9u4drrlnOpZc209xci98fpr5+gFgMzqrx\ng82NLe6jpX68KC7vbDH8U+KeqhCMoAGMoyNfZEYuCGVEIRriaFqUF17oZ3AwyPr1ixkYGOWccxqI\nxQbYvbuXxsYY550XZGxsLa2tYdB8MyavFYJ8+70LgpA7EiMXBAORiIv39Y3x+ONvYLebeOONAA6H\nCbvdQn29lbe/fYDu7lr+4R8+wMoznclwghYz5d0dThCEwiIxckEoZ0pQp55oDmO1mnC7rdTX23nt\nNR/hsCIUCvHud5txOGysXn0uZ5xRN7E2uLNFMssFoYKRGHkJMELcxggaYAF1FLBOfSYNicSyaDRO\nXZ2d6moLVVVVxOM6jY06ra1D3HDDe7n99k1TDHWm7nDFptzuqUy17rlQbjrmghE0gHF05Is8cgtC\nKcihTn0u9ePpJBLLurtH+M539nP8+Cjr1zeyaJGNdeu62Lx5MytXTq+PP9Uzy8UjIVQyEiMXhFIw\nS516IevHYWrt9tDQOJdcEiUYPMFNN92IUpnDb5oWLVpr1UI8pBQTqXUXygWJkQtCGTHVeM1cp17I\n+nGYOsNuaNA5duwltmzZktWIQ/Eyywv9kFIMTnWPhFDZSIy8BBghbmMEDVA6HQnjNfzNR/B94yF0\nLTxjnXou9eMJZtUQ1bBpx9l623l86lPn0tBwhEsueRsej2eequZGbNBHbHAYFMQGh4kNDQPldU/l\n0q8+G+WkY64YQQMYR0e+yIxcEIpAvjPsQtSPA0kXvj42SGzczvefWUMkPs7gYIwLLoguSNy3yllD\n+NAbRE8GMNXYUZby/LMjte5CpSIxckEoAgvmTg50oe/9f4ReOEZHv+Ixy/mMjV1AOGZn69aL5meo\n5lg+F+3p4+TXHiS8/zDx8RCOt62n/o6PlZ17XRDKAYmRC0KZULAZdr44GonH7MTG/TxTcyGvPWXl\nle4+FjXW4HJZ5r7flJl+PGan6tIvohy5PRSYGjxU2W3Ew0GsjVXokfF55wAIgvAmEiMvAUaI2xhB\nA5RWh7JZMTc1FtyIz9YvvurSL/K0+Y+Ih13Ujjh422WtLF3qml9teLAffWyQ0AvH0J7Zy/A3vz0R\n988BZbOy6G+uo/ZtJwm0HcfsfgpTXbXcU2WEETSAcXTki8zIBcEgJLLkfSrOcyYTH3r/n9HHCXb+\nugtQ3H9/B3fcsXFucfLJmb4e8oO1jphP5TWrjkRH+Ncj53EyYGHRQIStwZP5j0EQhIxIjFwQDEAi\nJh/1BfipPcj5V2zmwrdu4vBhH1/96tMsabQz5vdz2+cuoWVZ/dyOERxh+JvfJuZTVHk8ecX9u94Y\nZPvnv43bHsIfsnPbto/PeRyCYGQkRi4IpwiaFp2ywEmwZ5CuYwGON+qYonHOX3oGAK2tTtpaavC9\n8ns8jnG8x16Elq1z6vWuHE7qbrllTnH/xqY6PCsvxTfgw3O6B+9p7ryPLwhCZiRGXgKMELcxggYw\nho4nnniSbdv2sn37s2zbtpdAIMQ/3/86335VZ08owKV2L+aGiZpxm83MZz7g5i/WHOOv/yyGLT7Z\nHnaOzCfuf91frubmz76NrV+Y6PNuhGsBxrinjKABjKMjX2RGLggVxvBwCJ9PJRc4OXjwJL5AGO9G\nneDJRhw3XZM0tMHuAf7hmocI2qIseryTO+5cRnUR1x2Hqd4CgK6uER58sINAIJzsYy4IQuGQGLkg\nVBjpC3zceus6/mX7j4kEX8cyEOHzN1mwXbwVPaZ44eZ/4es/6sVdrTNmsbD1W+/jLX98UUnG5nJZ\n0XXo7R2lo2OQK65YythYRPqYC8IMSIxcEIpIuSz8kWgn2t/tZ5HSCI76qK7u4r1vCbC8pTbpPo8F\nLDTUmqizw/C4or7GSvOGFUUdW+pyqN3dIwAsWVJDR8cQJ04EaWtzSh9zQSgwEiMvAUaI2xhBA8xd\nR8be6QtEe3s7VuLU/PQxxr7zQ37yne+x+eKLOWe5C5vun1hdrdqLqcFDTXM9n/1AK3/9F8185Tef\npdpb3CSzxOIjfr9Gc3MtTU21jI1FuPLKpXzhCxdO6WN+qt9T5YQRNIBxdOSLzMgFIQcKvTpZocbz\nkkPHFI5z/ulnweILp6yupszgueVDuIaGaSlRd7mEtyCxHCpQtKVRBUGYQGLkgpAD5bYUp66Fef1r\n3+PHwRO8z3Eay/76xqzjSS9VKyalPJYgGJG5xMhLYsiVUlXAs0C3ruvXKqU8wCPAUuAo8D5d1/0Z\nvieGXCgbdC1c+t7pWYjH49z3ne+wetlyLnrbJQAZ4/fpiXH5LtGZD6U8liAYlbkY8lLFyP8aOJDy\n+vPAr3RdPxv4NfCFEo1jQTBC3MYIGmB+OorVOz1f2tvb2bNnDxarlYvecTlA1vh9avKZzxeaX7/1\nWcj3WHJPlQ9G0ADG0ZEvRTfkSqkW4I+B/0x5+93A/ZP/vh94T7HHIQhGwe/3s2vXLq699lqUUhnj\n9wlSk888HntRM8ZLeSxBEN6k6K51pdQPgbsAN3DbpGvdp+u6J2Wbk7quL8rwXXGtC0IK8Xic7373\nu6xZs4YLL5xorDJb/F7ToiVLOCvlsQTBiJRdHblS6l1An67rLyilNs+waVZrfdNNN7Fs2TIA6urq\nOO+889i8eWJXCTeKvJbXp8rrl19+GafTyYYNG6Z87rnlQ/z65/9LlauWyyeNeOrnLS3Oshi/vJbX\n8nrq68S/jx49ylwp6oxcKXU38JdAFKgGnMBPgfXAZl3X+5RSS4Df6Lq+MsP3DTEjb29vT168SsUI\nGqCydQwODnLfffexcuVKrrnmmoUezpxJZLa/8sozXHXVFdPer7SM90q+pxIYQQMYQ0fZzch1Xb8d\nuB1AKXUZE67165VS9wA3AduAG4FHizkOQah04vE4jz76KJs3byYYDAILZ/jmc9zUzPbh4Ve47LLL\nsNnMkvEuCPNgoX4pXwV+oJT6CHAMeN8CjaMkVPoTIhhDA1Sujj179mA2m9mwYQNKqaIavpla0c73\nuKmZ7XAOAwPjtLQ4M2a8V0o/9kq9p1IxggYwjo58KZkh13X9t8BvJ/99EnhHqY4tCJXM4OAgu3bt\nYsuWLSg14XErluGbLXFuvsdNZLYnHgQSme3Z3hcEYXak13oJSE1qqFSMoAEqT0eqS93jmSj0aG9v\nL1qp10ylbDC1xMzlshIKRdG0aM77T7Rwve22DWzcOJ6czae+X2lu9Uq7pzJhBA1gHB35Ujm/FkE4\nBUl1qaeS3tO8UIbP1OChyuNMzshN9XXJzxKx8VtvXcfAwDj339/Bvfc+n7eL3WYz09Li5PBhU8b3\nBUHID+m1LghlSiJLfcuWLcnZeCnI1Io2PTZ+3XUruffe53G7bfj9mqwxLggFopxbtAqCkAeZXOpz\nQdOidHUF8nJ/Z2pFmx4bVwrp4iYIZYIY8hJghLiNETRA5ejI5lKH3DUkZtHbtz/Ltm170bTonAw7\nTG+/2tLinHdMu1KuxWwYQYcRNIBxdOSLxMgFIQdmKskqNJmy1OdC+iy6u3uUhx46MKfSsWwx+YQ7\nPb22fOKBYQSA1lZnRSWvCUKlITFyQZiFUq5FnqmX+lzJJa7t9VbP2+CmH+fWW9fxT//0LDt3HgN0\nrrpqGbffvlGMuSDkQNl1dhMEI5CpJMvc1FiUYyVc6uvXnku0p29eHoD0WTSAy2Wlu3uE5uZaXC4L\nd9+9h//7vzeIRuNcffXpfOlLb83J4KbOwNNn/gcP+ujtHSXxEN7TM1ZRDV4EodKQGHkJMELcxgga\nYG46kiVZ/tFpJVmFJOFSv+bqdzL8r9/PuL44ZNaga2GiPX3Ttk2UdCWMs65DLBbH79fo6hrl2LEA\nPT2j9PSM8YtfvEF398is40yPvbvd1inx8xUrPDQ11aKUQilobq7JmAx3Kt9T5YYRNIBxdOSLzMgF\nYRaUzYrnlg9NK8kqJKlZ6q6oznAeHoBcXf+JmfPRowGGhzWUgtpaK9GojtlchcViAjJ79DLNwGtq\nLHR2BujuHuO661ailKKlpRabzcwdd2zkxhtXA/qUBwlBEAqP/LpKgBH6/5ajhrkkoM1VR6Ikq1hM\nyVIPR7I2ZYHpGjK5/sPOOo50+AmbYoyFIqxYsQhNi2EyVTE8rFFXZyMa1fn0p8/DbFb4/RqtrS5a\nWmqnjS1TDLy62swvfnGEqirFpz61kzVrGvB6HWzdOhHXt9nMLF8+s+eiHO+puWAEHUbQAMbRkS9i\nyIWKpJQJaMVmWpZ6nh6A9G5smtXBNz+2j85XA3QPjvB0qA9rtYl3vesM6upsXHZZC7GYjtfr4Iwz\n6ti27bJp2ejBkTDdr43QcqaToeHQtBl4MBghFIrjdFgIDoSp0lXFLXYiCEZBYuQlwAhxm3LTMFtP\n8GyUm45sjV8yNWVJkK4h4fqv+/QH8NzyIXo6NcZ9EcaiEezKjKPKQiAQJhyOEwxGueWWdWzdetGU\n8jM9okGgG6IawZEw3/rEPn585yG+9Yl91FabcTqtPPlkJx0dg3z72y8QDsdorK+mzVfLqugiQnvC\nuGqseTWGKbdrMVeMoMMIGsA4OvJFZuRCRTJTT/BKItWlPp9a9VTXf8uZTqo9FhwDZnzxEKPRMA6H\nGZOJZDOXRK334cM+Hrz/JQKv7sbjGGfrTRaOmP+KsaEI1W4L4UCcwe4QN9ywit7eMZYsceD3azgc\nVs5qrcM8qmg53UlkLMafX7tCYuGCsABIHblQsWTqCV5JpPZSr3PUFDRU4BsMctcXn6b35CgHXzvJ\nunWLqauz86UvbcTlsifj3p2dAfa/0MP6ph4iWi2fee9xfvjq2+l7EuyYWbzUwbs+eyatK2r5xjdf\nmBIn7+sN8rMvv0p0NI7VVcUn/20dDmflXQdBKCekjlw4pSh2AloxSXepR3v6ClqrPjoeJWbXWdxU\nw4FDQyg1kbQWCERwuezJzPOGhmqOH48wMHQ2tWYzP364iZOnV2E2Q3xcRzsW5X/ufg2bx8QtXzuP\nsVAsGUt3uex8+tvr6Hl9lObltWLEBWGBkBh5CTBC3MYIGqB8dKT3Up+tVj21TjyhITgS5tV9QwRH\nJmvHoxoEuiCqJXuja1oUvz/MM8+coKNjEJfLArzZO31wcJy2RicNbjdWlx296jTM42biYcCqMMer\nqDKrpIs9vZTM4bRy5nmL5mTEy+VazBcj6DCCBjCOjnyRGbkglJhMvdRnqlVPz9DX17YkE9LCgUm3\n9r+uxnFwO4R8YPdg27CVrVsv5MUX+wGw281EIvHkjDzR9a27e4T7/nM/g78aw46VmgYbW+46j+/d\n9jJ6UCc2FKcqqmPzmGhePr00TRCEhUdi5IJQQubSSz3a08fwNx8hZK+lt0tjxd++mxOjNn585yGs\ntSbCozH+YquHMyPfBpsbbcRPf9snaDxjOcCUGvBMC6UEAiGef24Al8XK2ed6cDitBEfC9Lw+iqPO\nxBuHRlh1wSI8DY6Cnw9BEKYiMXJBKHNmWp40G6YGDyGHk//6uZOIbuP3dx7jxn9eg9VVRTgQw+qq\nonlVKxz0oAV8bPuRF5+jE0/9EFu3Xphx1bIEmhZlx459SUN/zoaJhwuH00pDi52773iagF9jye9r\nuf2L+S98kr4qWqG2FQThTSRGXgKMELcxggZYWB0Jl/q1116b1/KkymZl7Io/Jl7npXpZAwePPoev\nP8wn/20df/H3K/jI19YyNBpHW/u39Ld9Ap9jA26PI9mgJb3feirHjgQ4cXiUGrsluT3AYO8oX7/u\nOWy7FY0ddvp+MULnG4G89GZaDz2V1Gsx27bljBF+G0bQAMbRkS/y2CsIRSK1Lly3mDM2fsmV1lUe\nbPU2woE45pqqZJZ420rXtPapnvqh5OuZGrT4BoM8/PkO6NTp7xih5mIbLpeF4EiY//jki5j7wF5l\nYTQewY6ZcCCe15jTV0WbqetbPtsKgjAVMeQlwAj9f42gAUqnIz1B7ZUL35K3Sz0Vh9PKJ/8tUeq1\nPpklnm4AA4HIjK70BKFAkH/4bDtDB+OE9RhWZSI+EGbHjn382VVnEo9AzAK2sMJqNnHachunr3Tl\nNeZEZny2h4rUazHbtuWMEX4bRtAAxtGRL2LIBaEIpLaQHfINs/sPf2DLxz+Ws0s9U7w4UeqV+Lyr\na4RwOIrTaU0uIZow3jPNZnUtzGv3fJ/jLwSIa63YLHaC8Qin1Vfj84Ww1Zmwe0yEgLApztWfWc6q\njQ15l5ilr4c+U9w7n20FQZiK/FpKQHt7e8U/KRpBA5ROR6IuPOoL8Gt7iM1vy92lnrramMNh5uqr\nT+fcc724XHYAfvLDx9n5mIl9rwxQZYG3v72Nm29el1xCdDZigz4WRcZoabTym8FOrDUNWOutLFZO\n6j3VtJ3uSpn9z6/Ry0wPFenXYrYHkHLFCL8NI2gA4+jIFzHkQkUyn77kpSBRF777N+3YjvewYdPG\nnL+bcJebzVV85zv7+e//Pkhjo4PHHvtTzErxvS++TF10JU2Ranq9Qfr6xrHZTNhs5pzOi6nBQ7XX\nxV9fEOD9G9y4r38njS0uAoHIm7NhG8nZvyAI5Y3UkQsVR6UsYZraSz2f2XhX1wjf/e5+fvbT13j1\n1WFQYDYrrrtuJR9690p+dOdBAuNhYuNxjtQEeMfVi/jgn5/P6We70b73wxnPS2J50uY2G7ZwcMY+\n9TOVg0mpmCAUB6kjF04JMi1hWm4917MtTzoTqS71eCTGUhXgDaUTjkGV1UQkEqNxaQ1VNjANxwjr\nUdbU7sf18lp+/vwezLVu3nfWMM7F7mnnJTgS5vALw/zyX48QDaYscjKDEc/WSGamzwRBKD1SR14C\njFDbWE4aZutLPhOl0vHUU09hqqri/KY2dC2ccZv0Xun9/UEGBoIAaIEgrTVxzlpcRZ0dVix3smxZ\nHRZqK2gAACAASURBVGeu8HDen/cRru6m+YxOVMxEaMyGKXKSUK+f7pcGifn8U85Lop3rY195lfHD\nYcz2KsKBOD2vj2Ydf6ZysFw+y4dyuqfmgxF0GEEDGEdHvshjtFBxzNSXvBwYHBxk9+7dvBcP/m/9\nIKObe1qv9H9bh1Lwhz/0EA7H8dbb+dYfuwn0jxKtceL98DW0Ll+EzWam7ZzFLGsd5aRPp8ETopog\nYb8da7WiZU0Dte++AvPiRcnj7PmfXjRfDJvHTOhkhNBwFEejecbe6TOVg1VyqZggGBGJkQtCAUn0\nUl/Vtoy3tHdMuP/9o9R9+gNT3P+v7hua0iv96q3LuXnrrzh8aBiP3cbb/qiZL95+IadVxzI+rIQC\nQU682seS5R5igX5e+frvaawao6bOTjwYhJiO5qzjkZdXEPLHiQ7GsDSYsDhNXP2ZM1i+tm7WbHRN\ni87Y2lVKxQSh8EiMXBAKSCIxrOVMZ84lWE899RRms5kLL72E4Rc7k4ln6e7/ljOdU3qlByIawdEo\nl9SehhUT0WdjWOxWYvXVHO8P0thYNcVg2l0Olq0/feKFp44L7l5GtHeA4f/8EeN/eBGT28mhmrPw\nd4VweG3EnIq1f9pI2wp3TkYcZi4Hq9RSMUEwIjIjLwFGqG00ggbIXUcm1/dMxk/Torz6ajePP/4D\nrrnmgyxffhq6Fub4oT4WLWsgENJxu634/eFkpndihbHm5bVE9Th/fvWjNPU7iMV03A4rlovMOJZY\n6e0dpbbWwl/91Vr0aJz2J37Lhz9+7bTVyKI9ffj+9fuEXznCycEQ3xq6ikWmBmqVlYg1TlzpmBsn\nmr3MpqcUnGr3VDljBA1gDB0yIxeEAtH92siEEa81EQ7E6Hl9dEpXtdTSK02L8tWvPk0k8jRHjzrp\n7j6Ex3MMpeDkyRAdHU+zYsUiDnb4eEuzG+9SBx/+qzW0tjqn7PPLd7+Vx//6MM64lbgOL/1ugFcc\nwwwMjeP3a/zkh69ykX0J4/E3OPI/v+fvf37pFGNuavBgqq/DcuYyjprNMFJLwBzBopmI1epYA1WY\nzCQT3aROXBCMgRjyElDpT4hgDA2Qu45013ciMSxT6VV/f5Dx8dcxm6vo6Kjm8stN9PaOAgqn04LP\npxEai+HtsWEOwJHnfNzd+xTLltexdeuFEA2z7e7fcuIYmPUqiCni6NQoCyoEoVCUeFynSlPY7Sbs\n9nOIjsU5sO8kF1/1piFXNit1H3sv3Xd/j2oLEB4lhhOtKordbiI2rqOiYPdUzZjoVipOtXuqnDGC\nBjCOjnzJ2ZArpZqBpanf0XX9d8UYlCAsNFMXKanNukjJwMA4JlOQ6upuTp5ci8czSiQSo6mpNjkj\n93hsKE2nxmwhQhynbsYyYmKwL0jn4SFO7HyQwZdH8dhNDFrWQdyK0sFSZ8JhsqIP6kQicQbC44w4\nIriqrFRVK85ZN31GPXrcz0O/WUxkNM5iPciac/oJvWMpY2MW3K4Ya8+5gLaVngV3qwuCUDhyMuRK\nqW3A+4EDQGzybR0QQ54DRojbGEED5KcjdZGSBOmlV/X1Nr7//R9w5ZVvp61tFS6XhZMDY9jNo9R6\nGhgOxHG5LPT1BvnRHa8Qfj2K3WZm5NUI/m6Nn3zxAOHBFiKBUYbs+3B7DvKuv/lzghHwNNv55M07\nWby4Bl0fY/HiGrosY9RVH+L2b398Wowc4LjPTCRmwRT3EzPZqff46TXHWdwcJxiGxrZo2RjxU/Ge\nKleMoAGMoyNfcp2Rvwc4W9d1rZiDEYTZCAVHGeg+grflDOyO0ruH01fpeu65vZjNZjZtugilFBEt\nxP4Xn2ZMgxobXP2ut2Ox2XG57Lzrb87kZ7cfJDwWx6qbaLBVEw7o+J2d2O1VmM94jU8422g734G5\nqZHDh31UVVVRW2PBYa+i2m7CXm1m2VluzlzhydgmtXWVB8dyL8HXFRZTmKXNDgI1VYyFdWps4PTU\nl/ycCYJQXHLKWldK/QJ4r67r2VtBFQGjZK0bhYU2oqHgKF//5i34QwHcdhef+dQ3ZhzHXPqB5/qd\nUHCU1w68yC9+vYstWz6WbMN68ng3jz/xErFRE6baGH/8R+diM7vpfO4EDWc38L2tBwkdjqCjo5oV\nqDGGxl4lFg9ianmULUv/hHP+7nMomxVNi3LXV3ZzZOeLNFjCvP+tbrwfeTetZ0x4CbZt28vJgTHq\nbPD5L12M3TUxQw+OhOl+xceSuhjOpQ1EiTPiG8Lpqcdis+d6ugVBWACKmbUeBF5QSj0JJGfluq5/\nJp+DCZVLvka0GAx0H8EfCuC0OfGHAgz2HqXlLaszbjuXfuCJ7wwMDGOvHuGLX/gjXJ7p7V9DwVG+\ndu8tBINeTITZ+9gJLrjSQkNTLSaLm2OP1xAPmVEqzvDaKn54y6/QxsFWDR/5r810Hg3x3w+/gmaO\nYY+HOHx8LyN2H7Xj9Sz5iz9LNn+x2cxs/aszeT3wAt7TPFjGxqhzg9lmpqsrwMmBMcwHXqVrSGe/\nqZP1X7keZbPicFo568LFyfFagEVLmud+4gVBKGty7bX+GPD3wB+A51L+E3LACP1/H/vxI9OMaKnx\ntpyB2+5iRBvBbXfR0LQs67bZ+oHPdC0mep0PczT8fZ7xPcI9/3oroeCbTqhEb/SuQ68yOm6lCkVk\n51t55ut93PuefQz2jtLXGYYRE5yIQyc89NlDaONgtYM2DkOvDdG43EHUobPIW83QuAX38fNZfXwd\nTV1vY8w6dYEVR3MDLUtdWMbGko1l2tvbaWx04KyKE+hqxKG1srPdxcixwXmd31JjhN8FGEOHETSA\ncXTkS04zcl3X71dKVQNtuq4fKvKYhDKkztuEu8+VnJHPZESLhd1Ry2c+9Q0Ge4/S0LRsRo/AXPqB\nNzY6/n/27jy8yTJr/Pj3SffSLS1ls6UtAjPiyKLAqIgWURhGERVZRMQNnFFeFRx/r6igAsq4II7j\nDDMgILggqOMrIgVRoShLZVARRWUVKC1LS0vTUpq0yf37o01sS5ckzfr0fK6LC5I0T+7TtNx5zrmf\ncxMZVUppRTmxoVFUql/P+ms3iDEYTYSe35aC44dpVzkQZTAQUqnxw5ZT9P9DR7QQDcw2rGEahnAD\nhlADlgobEVGQ2qc9obGR1WM7dYbz2gPtenJi0w8khtsIW5WF6jLecVbeWF/5iIhQRo+8iPc27yAy\npBIrkRw/HUJcMzHK9qNC6I+zNfLhwFwgXCmVoWlab2CWUuoGrw5OauQBpaK8zKlJNFC40w/cVHya\nF/4xhUplIik63lFCsPdGD4sxcOa8bZhLSjlZWEHy3qtoExaFNRwmf3gxsUmRzHpyK0WflhOuaZyX\nFsWdz/Wg6HAJqX3a06ZtzfXoZ8op+OwlkiOLsFrC+H5Ne2zhiSSHmAgZdwOdeqY2O+byUgv/uvdr\nzMUWIozh3Lfwkma7z8n2o0IENm/WyJ8G+gPZAEqpnZqmdXFpdCLoRUbHNFqTDkTu9AOPMyYw/S//\nOOcDi71BzNmog2iagbKiUJLDIjkR8wt9L7+E6+/vRttOMeTmmii3VJF0bSTHNvzMVe3MhH50gN/U\n2/0swnqKlLgiiIjnTOFpsn/ojPlsGMcq4gir2EfbjseanWijY6sn7/rXujemoXKD9EsXIvg5WyOv\nVEqV1LvP5unB6JUe6jZ6iAGq4zCbq8jNNWE2VzX4NfYPLLWzDtGx4Yyek0bo+blM+PMoYrtcjto9\ngAvOXkTZ55W88/hPlJdaHCn90qIykqPL6dw5BltxKdZTp+u+SHQ7iDSCuYS84vOoimtPVVIcWlgb\nIg3hTe7zXfu9sF/r7sy14faxlZSYA2L7UT39TAU7PcQA+onDVc6eke/WNG0cEKJpWjfgQaoXvgnh\nccpswVpYTEhbo8f3GrdYrG6ll202G+s/y+LqwYNIP78TV/Y8y3/X5wMaIZrGmROVjv7l/zulN8d+\nOErEhuN1FqnVERoB/R6FswUkXxDLsQU52M4qSswWNKuB9sYYj0+09a+BdyZuqakLEficrZFHA08A\nQ2ru+gR4RilV4cWxSY28FVJmC8Wvvu3Y/tNYLyXdUrm5JubN20F8fAQlJWb+8pd+TqWXt27dyr59\n+5gwYQIWi5U935/i//70M22qwrABqrvGA0suISocx/i12GjixgwjtFNykzHk5pp48bntRBJKua2S\nO+7+HT17Jvt94pSauhC+57UauVKqHHhC07Rna/4thFdYC4urJ/H4X1PSoZ3aeez47qxmLywsZMuW\nLUycOLHOGX30NaH07Z5M+7Q29Ph9W6Jjw6nKO/Hr+EvK0CLCmv0gEh8fTnhUCGfNVbRr3yYgJnGQ\nmroQwcKpGrmmaZdrmvYj8HPN7V6aps336sh0RA91G1/FENLWiMEYi62krOGUdAtt27aZRx/tz1/+\n0s+pM0ybzcaqVau46qqrMBqNdSa3cksVvYZ2oO81nRw1alfHbzZX8be/fYPZbCU8PIQpUy52jKmx\nWn5T70Vz9X9XeLumroffC9BHHHqIAfQTh6uc/dj/MjCU6sYwKKW+0zTtSq+NSrRajV037UmurGbP\nyckhNDSUfv36Ac2f0Z8z/hAFptzqxW2hEecc3/7BICkpipISMyZTJXFxkS3qTOepVLg7NXUhhO85\nWyP/Sin1e03TvlVK9am57zulVC+vDk5q5KIhVWYoP9no5OgphYWFLFmyhEmTJjl6qYML16dXmeG/\nz0NFcfUK9X6PnjPexiZfd2r57tb/hRCBw5vXkedqmnY5oDRNCwMeAn5ydYBC1OfyCnUnJkdPsKfU\nMzMz60zi4MIZffnJ6nFGxFf/fbYAYlPOOVZDZ73udqZz9TlCiODn7HXkfwYmA+cBeUDvmtvCCXqo\n23gjBvsK9dPzV1L86tsos6X5JzU0ObrA2Tjqp9TdUutacSKNEJXc4JfZPxjUPru3T/AN1fIbi6Gp\n5wQiPfxegD7i0EMMoJ84XNXsb7qmaSHA7Uqp23wwHtGKuLVC3T452s/IG5kcW6KwsJDNmzczadIk\nNM2lDFddta4VVyHxWE+cdunaeHc607nzHCFEcHO2Rv5fpVQLTk3cIzXy4OFOExdXrxkvL7VwdF8p\nKRkRRIeerp7EPZxWt9lsvP7661x00UX079/fpec6xtcttk6nNW9fGy+E0A9v1sg3a5r2D2AlcMZ+\np1LqG1deTOiTuxOVKyvUa+8+Fh5n4L5/X0x0qGcnQ2W2sHXDRkIMBpdT6g2Or2Yy9/a18UKI1s3Z\nGnlv4EJgFvBSzZ+53hqU3uihbtNUDA1NVM7SIsIJ7dSu2Yn/6L7S6kkyJgSLyUbegbImv74x9jjs\ne4uXl1bX5ZXZwoFXlrLlq6+4qqAKLJUuHbep8Xn62ng9/DyBxBFI9BAD6CcOVznb2W2Qtwcigpdj\noqo5I/d0Exf4dfcxi8lKeJyB8853fxvVhs6eQ0+f4rMzJ/l9RDyxJWddPmtuany+uDZeCNF6OVsj\nf7iBu0uAr5VSOz0+ql9fV2rkQUKZLV6fqMpLLU5v2dkU+97i4TEhWMqs3DL7t5w07eanTVsYURFF\niDHOrTq2s+Pz5qYwQojg5s0aed+aP6trbl8P7AL+rGnae0qpF1x5URF8lNlCVf5JgAZT4fYUuTfZ\nt+xsqfpnz5FGM1vWb2PivXcTZ8XtDyPOjE8WvgkhPM3ZGnkKcLFS6i9Kqb8AlwDtgCuBO700Nt0I\n9rqNMlv46IEnOH7/bE7c9wxFL7/R6DXfymyhKu+Ec9eE+0F2djbRseHc9++LuWX2b/nT/N6s/yyL\nzMxMEtu3c6pe3xItWU9gF+w/T3YSR+DQQwygnzhc5ewZeTvAXOt2JdBeKXVW0zRzI88ROmEtLMZa\nVIJm01CaDeuxwgZryMF0tmk/e966dWvLG784SZktKEslWmwbr20KI4RofZytkc8AbgJWARrVqfWP\nqF69vtBbzWKkRu5f9lquIbYNxfNXUr5pO5rSiMrsS+LUCedM0lV5Jzg9f6VjC8+EyWMD+jKrxnqp\ne0PtDznO7lMuhGh9vLkf+WxN09YCA2ru+rNSakfNv6Xjmw6dc3Z9/xjixvwBNAjt2PAE5IvV657S\nVC/15rizWK1OSr1mn3ILBk7mmmjXLjrg26kKIQKXszVylFI7lFKvAGdrTeLCCcFYt6lfy924/lPC\nMs4jLP28Ricv+2VWCZPHBmxa3f5euNtL3eX+8FVmMOUSYoyucy15VUwMzz+/nXnzdvD889td2j88\nGH+eGiJxBA49xAD6icNV7pwG/BlY6MwXapoWAXwBhNf8WaWUelzTNCPVXeLSgEPAaKVUiRtjEV5S\n/+zaEHfuddsNnZn6YvV6S7Wkl7pLXdpq7dSmRRox3j8V6+mzhCQlcPRkBcXFFcTHR1B86gwFBw+Q\n0i3dq9uyNsRsruLkyXLJCggRxJyqkdd5Qq09yZ38+milVHnN5itbgL8ANwCnlFIvaJr2KGBUSk1r\n4LlSI/ejpq4ND6aFbbW1pJe6zVSGefd+yjdsR5VXNB+3KRe+nle9U5u5BPr+xbGNqWMf8lNnMJb/\nl0dvKSAizvVtWVtyTXpje6ELIfzHazVyTdMylFK/1Nwc3sB9jVJKldf8M4LqVH4xMAK4qub+ZUA2\ncM5ELvyrqbPrYO0f7m5K3WYq49gdj2M9XYohrg3tXvhLk2UGoMmd2hz7kB88QPKRLCJiG9+zvDEt\n/TB18mT5r1mB4goKCs7KzmlCBCFna+T/sf9DKXW05p/vO/NETdMMmqZ9CxwHspVSP1J96dqJmuMd\np/ryNt3SQ92mfgye7h/uC4WFhSxbtowbbrjB5ZS6Zd9hrKdLCYmLwWY6g628ovlJ076Nad+/NHim\nHRERSkq39Ooz8Wb2LK/N/l609Jr0du2iMRojKSkxYzRGkpwc5dLzW0oPvxegjzj0EAPoJw5XNXlG\nrmnab6neLCVe07Sbaz0UB0Q68wJKKRvQR9O0OOATTdMygfr5csmfBxm/9A+vMkP5yeozXRdryfZV\n6r1793brUrPwbmmEJMRWT+YJsYSfn+rcE0Mjmj7DrrVnuavbsrb0KgFHVqDgLMnJUZJWFyJINfeb\n+xuqrxlPoCalXqMUmOTKCymlTJqmZVHd6vWEpmntlVInNE3rAJxs7Hl33nkn6enpACQkJNC7d28y\nMzOBXz99yW3v387MzDzn8U3btvpuPFVmshf8GSylZF7aE/o9SvbmbU4/Pycnh3379jF06FDsXHl9\nQ1wMeyYOoyr/JNeMGYkhLsaz8cWmuPz8Tdu2onqmMPB3vQhJSvDt++GB2/b7AmU8rfl2Q7/fwXrb\nLlDG48x4s7OzOXToEO5ytiHMZUqpbS4fXNPaApVKqRJN06KAT4CZwBCgSCn1vCx2E05pYuFYc3zZ\n+EUIIVrCncVuztbIb9I0LU7TtDBN0z7XNK1A07TxTjyvI7CxpkaeA3yklPoceB64VtO0PcBg4DlX\nBh1s6n9SDEZ+j8G+cMyFWjKc2/jF73F4gB5iAIkjkOghBtBPHK5ytig2RCn1v5qm3UT1dd83U319\n+FtNPUkp9T1wcQP3FwHXuDZU0aq5WUt2d5W6EEIEC2dT67uVUhdqmrYIeF8ptU7TtO+UUr28OjhJ\nrbdKleYKSosKiU1sS1iEU2sqGyQpdSFEsPHmfuSrNU37GTgL3KdpWjJQ4eoAhWhOpbmCdWs2cMYM\nbSLgD9dd7dZk3pJe6s0pL7VwdF8pKd1iiY71wWp9IYRoglM18pqFaJcDfZVSlcAZqpu6CCfooW7j\nqxhKiwo5Y4bocI0zZigtPuXWcRpLqbc0jvJSC//68zf856k9/OvP31Be6vt91/Xw8wQSRyDRQwyg\nnzhc5fSmKUAnYKSmaROAW6heeS6ER8UmtqVNBJRbFG0iINaY5PIx7L3U3Wn80pyj+0qxmGyEx4Rg\nMdnIO1Dm0eMLIYSrnK2RPwVkAj2ALGAYsFkpdYtXByc18lap0lxBafEpYo1JLqfVW9JL3Rn2M3KL\nyUZ4nIH7/n1x8+n1FjSyEUK0Lu7UyJ2dyL8HegHfKqV6aZrWHnhLKXWte0N1cnAykQsXbd26lX37\n9jFhwgSPn43blZdayDtQxnnnxzg3idfsgEak65uiCCFaF29eR362ptVqVU2r1ZOAkz0qhR7qNsEQ\ngzMpdU/EER0bTrfeic4tdCs/WT2JR9TaFKWFguG9cIbEETj0EAPoJw5XObtqfYemaQnAa8DXQBng\ncqc3Ibyl2VXq9vS21ceL05rYAU0IITzBnf3I04E4pdQubwyo3mtJal04pcmUur/T21VmtzZFEUK0\nPl5LrWuadpOmafEASqlDwBFN0250fYhC/KqivIzcvbuoKG/Zyu9mU+peSG+7xL4DmkziQggvcLZG\n/pRSqsR+Qyl1GnjKO0PSHz3UbTwdQ0V5GX+f/wD/fncmf5//gNuTuVONX2r1ac/+8bRP0tvKbKEq\n7wTK7PlUvh5+nkDiCCR6iAH0E4ernK2RNzThy+bFwm0FRw9SUmEiNiKWkgoThfmHSOn6O5eP41Qv\n9dp92m0/un9m7ORlZMpsofjVtx37hBsfuM03+7ULIVolZy8/WwKcBv5Zc9dkIFEpdaf3hiY1cj2z\nn5GXVJiIj4zjwftfJTI6xqVj+LSXugt19qq8ExT/YzlaSAjKasX4wG2Edmrn3fEJIXTBm73WHwCe\nBFbW3F5P9WQuhFsio2N48P5XKcw/RNtO6S5P4t7spd6ghursjeyHbohtg+XnX7CeLiUkIRZDTLT3\nxyeEaLWcrZF3UEo9qpTqW/PncaXUGa+OTEf0ULfxRgyR0TGkdP2dy5M4uL89qdtxuLAfuq30DOG/\nySD6iosJ/00GtrJy916Thmvtevh5AokjkOghBtBPHK5y9ox8iaZpKcB/gS+BL2r2GhfC5+yr1CdN\nmuSV7m0NbqPqwn7oIW2NhLRNwFZcSkjbBEKSEtwah9TahRDOcPo6ck3TwoF+VPdc/xMQo5RK9N7Q\npEYuzuXtXuqe2kZVmS1YT50mJCnB7cm3Ku8Ep+evxBAfg62kjITJY6XWLoTOea1GrmnaFcDAmj8J\nwMdUn5kL4VPuptSdVXcbVUVp8SkSO5zn8nG0iPAWT7ohbY0YjLGOM3J3z+yFEPrmbI08G7gRWAhk\nKqXuV0q947VR6Ywe6jaejMHdRjCe2J60uTg8sY2qp2gR4RgfuI2EyWPrpNX18PMEEkcg0UMMoJ84\nXOVsjbwtMAC4EnhQ0zQbsE0pNcNrIxO65O5lZ75apR4WEckfrrva7W1UPc0TZ/ZCCH1zpUZ+AXAV\n1en1y4EjSqmrvDg2qZHrUO7eXfz73ZnERsRSai7lvrEznWoE44vtSYUQwt+82Wv9IPASkAj8C/iN\ntydxUZen+pL7W3JKF+Ij4yg1lxIfGUfbTunNPqewsJAtW7a0KKUuhBB65WyNvKtS6o9KqTlKqc1K\nKR/vBRncWlq38VRf8pbwVO3J3gjmvrEznUqrezqlrocamh5iAIkjkOghBtBPHK5ydiLvpGna/2ma\ndrLmz39qrisXPtBQX/Jg5kojmG3bthEaGkrfvn19MDIhhAg+zvZa/xRYDrxZc9d44Dal1LVeHJvU\nyGt4oi95MHKnl3pFeRkFRw+SnNKlVXyPhBD64k6N3NmJfKdSqndz93maTOS/qigvc7sveTByp/FL\nIH/gUWYL1sJiQtoapTubEKJRXlvsBpzSNG28pmkhNX/GA6dcH2Lr5Im6TUv6knuCr2tP9pS6K41f\nnClB+KOGZm+1enr+SopffbvFe5TrpQ4ocQQOPcQA+onDVc5O5HcDo4HjwDHgFuAubw1KtG7urlJ3\nZ0W8L1gLi6u7s8XHYCsuxXrqtL+HJITQEaevI/eHYE+tS73WdfaUes+ePd1qwxqIJQjZ/EQI4SyP\n18g1TXuyiecqpdRsV17MVcE8kQdyvTaQ6bXxiyc2URFC6J83auRnGvgDcA/wqMsjbEVq12t3/XTA\nUa8N1sYuvqg9eaKXenP8VUOzt1r1xCSulzqgxBE49BAD6CcOVzXZa10p9ZL935qmxQIPUV0bX0F1\npzfRCHu9tqTCRJvwaNp2Spez9Cb4qpe6EELoTbM1ck3TEoGHgduAZcArSqliH4wtqFPrcG691t0+\n462BXlPqQgjhCo+n1jVNexH4L1AKXKSUetpXk3gws6fPgTqXjAXqqmp/80VKXQgh9Kq5GvlfgE7A\ndCBf0zRTzZ9STdNM3h9e8GmoL7q9buNqn/FA4q3ak69T6nqooekhBpA4AokeYgD9xOGq5mrkzl5n\nLmo015TE3thFVMvJyXG58YveSNc3IURLyHXkHiYL2pznTi91vZFrzIUQtblTI2/yjFy4zp4+D7Sm\nJIFGVqlXa6jrW2indv4elhAiiEjq3Avq90XXQ93G0zH4K6UeaO9FSFsjBmMstpIyDMZYQpISmn1O\noMXgLokjcOghBtBPHK6SM3Lhc/ZV6pMmTWr1q9S1iHCMD9wmXd+EEG6TGrnwKXe2J22ILBATQuiR\n1MhFwPNESl0WiAkhxK+kRu4DeqjbeCIGTzV+acm2oPJeBA6JI3DoIQbQTxyuarUTebBuXhKsPLlK\n3Z0FYkIIoVetskYu13r7nqd7qcu2oEIIPfLGNqa61Fz3NeFZ3uil7sltQYUQIpi1yonc15uX6KFu\n424Mgdb4pTW/F4FG4ggceogB9BOHq3S9ar2ivIyCowdJTulSJ3Xuj+5rrfVyKemlLoQQ3qXbGnkg\n1cFb6+VS0ktdCCFcIzXyWgKpDt6Sy6WCVaCl1L1FmS1U5Z1AmS3+HooQopXS7UTu6zp4U77cvSvo\nL5dytfYUqCl1Z+JwdnK2Z1pOz19J8atv+2wy10sdUOIIHHqIAfQTh6t0WyMPpF3ItPCwVtVPO5h7\nqbtSBpGdy4QQgUC3NXLhH57qpe4vVXknOD1/ZfXkXFJGwuSxjU7OrXXtgxDCe6TXuvC7QE2p/xWr\n6gAAIABJREFUO8vRNa5mcm6qDCI7lwkhAoFua+SBRA91G2di8EbjF09rLg775JwweaxTZ9j+aEyj\nh58nkDgCiR5iAP3E4So5IxceoadV6vbJWQghgoHUyIVHeLqXuhBCtEZyHbnwi2BIqQshhF7JRO4D\neqjbNBZDsKXU9fxeBBuJI3DoIQbQTxyukolctEiwr1IXQohgJzVy4TbppS6EEJ4lNXLhM8GWUhdC\nCL2SidwH9FC3qR9DsKbU9fheBCuJI3DoIQbQTxyukolcuExWqQshROCQGrlwSbD3UhdCiEAmNXLh\ndcGaUq+vNe0j3ppiFaI18upErmlaiqZpGzRN261p2veapj1Yc79R07T1mqbt0TTtE03T4r05Dn/T\nQ90mOztbFyn17Oxsr+wj7svJ0pWfJ1/sme5u7Hr4vQB9xKGHGEA/cbjK273Wq4CHlVI7NU2LAb7W\nNG09cBfwmVLqBU3THgUeA6Z5eSyiBfS0St3T+4gH8nam3t4zPZBjF6K18OoZuVLquFJqZ82/y4Cf\ngBRgBLCs5suWATd6cxz+lpmZ6e8htFhkZKQuUuqZmZm/blVaUtbsVqXOaGiy9CZXfp48HWt9LYld\nD78XoI849BAD6CcOV/ls9zNN09KB3kAO0F4pdQKqJ3tN02SrqQBmT6lPmjQpaFPqtXl6H/GG9jBX\nZgvWwmJC2hpdOr67z2uMt/dMd2X/diGEd/hkIq9Jq78PPKSUKtM0rf5S9EaXpt95552kp6cDkJCQ\nQO/evR2fuuz1kEC/bb8vUMbjym2bzcYvv/xCbGws3333nd/H09LbO3fuZMqUKWgR4Wze+6PHjm98\n4DY2rF6DIS6GTKD41bf5cuc3aLHRDP/bbLSI8GaPt3H9p5T+32dcnngeBmMs3/VMQQsP88jPU2in\ndl77/l5V80Hhyx++Q9u21enn/+1vfwvK32c9/X7XH3ugjMfd2/bf70AZjzO37f8+dOgQ7vL65Wea\npoUCHwNrlVKv1Nz3E5CplDqhaVoHYKNS6oIGnquLy8+ys7Mdb16wsW9P2rlzZwYNGuTScz19dukJ\nvngvqvJOcHr+yup0c0kZCZPHOlWXdvZ5wfzzVJvEETj0EAPoIw53Lj/zxUT+BlColHq41n3PA0VK\nqedrFrsZlVLnLHbTy0QerFrSS701L4JyN/bW/D0TQlQLuIlc07QBwBfA91SnzxXwOLAdeBdIBQ4D\no5VS56ySkYncf1ra+MXds9LGBOLZfVOU2eJWXdrd5wkh9CHgGsIopbYopUKUUr2VUn2UUhcrpdYp\npYqUUtcopX6jlBrS0CSuJ7VrIcGifuMXV2Pw5GppT14L3VwcnroeXIsIJ7RTO5cnY2eeF4w/Tw2R\nOAKHHmIA/cThKp+tWhfBwxOr1D25Wtrb10LbSWpbCBGMpNd6K1c/ZR2IvdR9NcF6uhwghBCucie1\nLmfkrVhDE2TO1zsCrvFLc2f3nqqft+Sa6GCr4Qsh9EM2TfGBQK3b1E9ZnzjwS6O91P0dQ2O1Y1fr\n503FYf/AkDB5rEtn/b7oZ16bv98LT5E4AoceYgD9xOEqmchbsdoL0kiI4eMtX5AZZL3UPd0e1Z1F\nar5u0SqEELW12hq5pEKr2S93+mr/z+z/5RcmTJgQVG1YA2GBWu0xaLFtiBsz1K0V60IIEXDXkbeU\ntybyQPjPP5C0pPFLIAiEa6+V2UJVfgGmlWtRpeXycyWEcEvAXUceqHydCg3kuo19e9JBgwY1OYkH\ncgyupMO9FYcWEY4WHlo9iXv55yqQ3wtXSByBQw8xgH7icFWrnMi9vbVjMNm2bRuhoaH07dvX30MJ\neobYNhCiYS0qafU/V0II32mVqXUIjHSsvwV7Sr0lPL1Gwl6usZ46jRYWRuIjd2KIi/HASIUQrYlc\nR+4Cezq2tbKn1INtlboneGONhL1cE2KMx1ZShq2sXCZyIYRPtMrUuq8FYt3GnlJ3tvFLIMbgjuzs\nbK+skfBluUZP74Ue6CEOPcQA+onDVa32jLw1KywsZMuWLS3qpR7MWtLBrTGe7C0vhBCuaLU18tYq\nEHup+4OskRBCBCK5/Ew0q/72pIHOU9uK1ufuNqNCCBFoZCL3gUCp29i3J22ol3pz/BGDN3qYB8p7\n0RJ6iAEkjkCihxhAP3G4SibyViIYV6lLD3MhhGie1Mhbia1bt7Jv376g6qUurXSFEK2N9FoXDQrm\nxi+yKE0I0ZrIYrcA5c+6jadS6v6KwdOL0vRQQ9NDDCBxBBI9xAD6icNVch25zgXLKnXZVjZ4paen\nc/jwYX8PQ4igkpaWxqFDhzxyLEmt61iwpNSlFh7calKB/h6GEEGlsd8bSa0Lh2BapS6r04UQwn0y\nkfuAP+o2nk6pezMG6VPuGj3EIITwHKmR65C98Uuw9FKXPuVCCOE+qZHrjPRSF74mNXIhXCc1ctGo\nYFmlLkSw2bt3L3369CE+Pp5//OMf/h6OEA4ykfuAr2qaLeml3hy91GX1EIceYghGL7zwAldffTUl\nJSX8z//8j7+HI4SDTOQ6EUyr1IUIJlarFYDDhw9z4YUX+nk0QpxLJnIfyMzM9PpreDul7osYfEEP\ncQRTDJ7Yhralx3j++edJSUkhLi6OCy64gI0bN3LXXXfx5JNPOr5m06ZNpKamOm5nZGTwwgsv0KtX\nL2JiYrjmmmvYuHEjkydPJi4ujv3795OVlcXFF19MfHw8aWlpzJw5s87rbt68mQEDBmA0GklLS+ON\nN94AwGKx8Mgjj5CWlkbHjh25//77MZvNbsUmBMhEXoe39r72Nm+m1IVwlye2oW3pMfbu3cs///lP\nvv76a0wmE5988glpaWkNfm39350VK1awdu1aTp8+zWeffcbAgQP55z//iclkomvXrsTExPDmm29S\nUlLCmjVr+Pe//81HH30EVJ+9//GPf+Shhx6isLCQnTt30rt3bwAeffRR9u/fz65du9i/fz95eXnM\nmjXL5e+NEHYykdfwxt7Xdt6safoqpV4/hmD90KOH+nKwxOCJRj8tPUZISAgWi4UffviBqqoqOnfu\nTJcuXZx67kMPPUSnTp2IiIho8PErr7zSkWr/3e9+x9ixY9m0aRMA77zzDtdeey2jR48mJCQEo9FI\nz549AXjttdd4+eWXiY+Pp02bNkybNo133nnHpbiEqE2uI6/R0H8YoZ3a+XtYzfLHKnVpqSqc4Wj0\nU/Nz4k6jn5Ye4/zzz+dvf/sbTz/9NLt37+YPf/gDL730klPPTUlJafLx7du3M23aNH744QcsFgsW\ni4VRo0YBkJuby/nnn3/OcwoKCigvL+eSSy5x3Gez2eTyPdEiMpHX8MR/Oo3xVk3TV41flNnCFd0u\nQJktaBHhQfehp/aGLMFUX25MsMTgiUY/njjG2LFjGTt2LGVlZdx77708+uijxMfHU15e7viaY8eO\nnfvazfxOjRs3jgcffJBPPvmEsLAwpk6dyqlTpwBITU1l+/bt5zynbdu2REdHs3v3bjp27OhyLEI0\nRFLrNez/YSRMHhsUZ5i+Sqnbz76LX13OqWcXYDOV+bSlakt5s2QimueJbWhbcoy9e/eyceNGLBYL\n4eHhREVFERISQu/evcnKyqK4uJjjx4/zyiuvuHzssrIyjEYjYWFhbN++neXLlzseu+222/j88895\n//33sVqtFBUV8d1336FpGpMmTWLKlCkUFBQAkJeXx/r1611+fSHsZCKvxdN7X9t5o6bpq5S6tbAY\na+Fpsjd/SfmX31A0dylA0HzoqZ892LB6jb+H1GLBUiMPBGazmWnTppGcnEynTp0oKCjgr3/9K+PH\nj6dnz56kp6fzhz/8gbFjx9Z5XkNn4/Xvmz9/PjNmzCA+Pp5nnnmGMWPGOB5LTU0lKyuLuXPnkpiY\nSJ8+fdi1axcAzz33HF27duXSSy8lISGBIUOGsHfvXi9EL1oLadHqA9nZ2R5Nh/pye1JltnDq2QV8\n/tEarkjvRvgFXTA+cFtAp9Jrq1/P/65nCoOGXOvvYbWIp3+eWkpatArhOk+2aJWJPMj4o5e6zVRG\n0dylqMpKQpISAv4svD5ltsiGLF4kE7kQrpOJvBXbunUr+/btY8KECT69ZlwmQ9EYmciFcJ1smhJk\nPFXT9Gfjl03btnpl/YCv6aG+rIcYhBCeIxN5kJBe6kIIIRoiqfUg4W5KvfY11MF+Ni0Ck6TWhXCd\nJ1Pr0hAmCLjb+EU6sPmffJASQnibpNZ9oCU1zZak1D3R69rOW3VZX/ds92V92VvNaKRGLoSoTc7I\nA1xLGr94s+2sJ7QkYxAMZ7rB1spWCBGc5IzcB9xt3tHSVer2trPxE0cSO7JlTVC80YDElYxB7TP3\nlpzp+rKRirda2QZSM5hg8Lvf/Y4vvvjC38NosWXLljFw4EDH7djYWA4dOuS/AYmAIWfkAcqTq9RL\n/7M+IOvkzmYM6p+5x468NijOdD2x4YdouR9++MGpr8vIyGDx4sVcffXVXh6R+2p/oC8tLXXqOYcP\nHyYjI4OqqioMBjl30yN5V33AnZqmp3qpe6pO7o26rLMb1dSPATS3z3R9XV/2Rv9+qZEHpkBdua+U\nkisLdE4m8gDkycYvgb5TmTMTXf0YQjslB82mLa1elRlMudV/++kYGRkZbNiwgZkzZzJmzBjuuOMO\n4uLiuOiii/jmm28AmDBhAkeOHGH48OHExcUxd+5coPoD9YABAzAajfTp04dNmzY5jjto0CCmT5/O\nFVdcQZs2bfjll18YNGgQM2bMYMCAAcTGxjJixAhOnTrF+PHjiY+P5/e//z1HjhxxHOPnn39myJAh\nJCUlccEFF/Dee+85HisqKuKGG24gPj6eSy+9lAMHDtSJy2AwcPDgQQCysrK4+OKLiY+PJy0tjZkz\nZzq+7qqrrgIgISGBuLg4vvrqKwCWLFlCjx49SEpKYtiwYXXGJYKMUipg/1QPr3WxWq1q0aJF6quv\nvvLYMW0VZlWZd0LZKsweO6av6SEGvWr097SyQqmtM5XaMKX678oK1w/ugWOkp6erzz//XD399NMq\nKipKrVu3TtlsNvXYY4+pSy+9tM7XbdiwwXE7Ly9PJSUlqXXr1imllPrss89UUlKSKiwsVEoplZmZ\nqdLS0tRPP/2krFarqqysVJmZmapbt27ql19+USaTSfXo0UN169ZNbdiwQVmtVjVhwgR19913K6WU\nOnPmjEpNTVXLli1TNptN7dy5U7Vt21b99NNPSimlxowZo8aMGaPOnj2rfvjhB3XeeeepgQMHOsZn\nMBjUgQMHlFJKbdq0Sf3www9KKaW+//571aFDB7Vq1SqllFKHDh1SBoNB2Ww2x3M//PBD1a1bN7Vn\nzx5ltVrVs88+qy6//HKXv7fCfY393tTc79JcKWfkAcYb25N6a3tWX9JDDJ7k68v23FJ+EiqKISK+\n+u+zBf45Ri1XXHEFQ4cORdM0br/9dsfWonaqVvr5rbfe4rrrrmPo0KEADB48mL59+5KVleX4mjvv\nvJPf/va3GAwGQkOrlxzdddddpKenExsby7Bhw+jWrRuDBg3CYDAwatQovv32WwA+/vhjMjIyHE2e\nevXqxciRI3nvvfew2Wx88MEHzJ49m8jISC688ELuuOOORsd65ZVXcuGFFwLVi/vGjh1bJ3tQ/+sX\nLFjAY489Rvfu3TEYDEybNo2dO3eSm5vr9vdW+I9M5D7gbE3Tn73Um6OXumxTcQTF5AhsXP+pV65P\n97jodhBpBHNJ9d9Ryf45Ri0dOnT49dDR0VRUVGCz2Rr82sOHD/Puu++SmJhIYmIiRqORLVu2cPz4\nccfXpKamnvO89u3bO/4dFRV1zu2ysjLH8XNycuocf/ny5Zw4cYKCggKqqqpISUlxPDctLa3RuL76\n6iuuvvpq2rVrR0JCAgsWLKCwsLDRrz98+DAPPfSQ47WTkpLQNI28vLxGnyMCl6xaDxCtoZd6IF/7\nHUxd8GwlpUGxap/QCOj3aPVZdFRy9W1/HMNJ9T88p6amMmHCBBYsWOD0c1yRmppKZmYmn3zyyTmP\n2Ww2wsLCyM3NpXv37gBN1rBvu+02HnzwQT755BPCwsKYOnUqp06danSMnTt3Zvr06dx6661uj18E\nDjkj9wFnrvv1Rkrdk1p67bK3upy5qrE4PNkFz9uuvuH6gF7AWEdoBMSmtGwC9sQxGlE73dyhQwfH\n4jGA8ePHs3r1atavX4/NZqOiooJNmzaRn5/vkde+/vrr2bt3L2+99RZVVVVUVlayY8cO9uzZg8Fg\n4Oabb+bpp5/m7Nmz/PjjjyxbtqzRY5WVlWE0GgkLC2P79u0sX77c8VhycjIGg6HOYrk//elPzJkz\nhx9//BGAkpIS3n//fY/EJXxPJvIAEMgpdU8J9InSENsGQgxYi0sCfnJ09rI9Ua2p36naj02bNo3Z\ns2eTmJjIvHnzSElJYdWqVcyZM4fk5GTS0tKYO3euIxXf0HFd+f2NiYlh/fr1rFixgk6dOtGpUyem\nTZuG2Vy9Ov/VV1+ltLSUjh07cvfdd3P33Xc3+lrz589nxowZxMfH88wzzzBmzBjHY1FRUTzxxBMM\nGDCAxMREtm/fzo033si0adMYO3YsCQkJ9OzZk3Xr1jk9dhFYZPczH8jOzm70TNBms/H6669z0UUX\n0b9/f98OzAVNxeCMQEldNxSHfWzWwtNo4WEkPnInhrgYn4/NWS19LzxNrlEWwnWy+1kAc7UOHOgp\ndU8J5C5n9mxBSGI8tpIybGXlAT2RCyFEbXJG7kGunnUWFhayZMkSJk2a5NcFbg19+PDkwrRAXuQG\ngZMtCFZyRi6E6+SMPEC5sttVoKxSb2gSAzw2sQXaJNnQh4pAzhYIIURzZLGbBzXWDrWha5cDJaXe\n0IePhu5z9zryQFrkpswWVk+Z0eDK+WBqOKOXa/qFEJ4hZ+Qe5OyZnX2V+qRJk1xa5eqNFHVjO5B5\nah/zQNoT3VpYjCotx5AR4NdfCyGEC6RG7mPurlL3ZopamS3nfPho6D5PHt8fAi3NrxdSIxfCdVIj\nD2LuptRdqb+7yp5Wbu4+Tx7fH6QWLoTQI6mR+4C9ptmSxi/ObkfqrX7h2dnZQdOLvCmbtm0Nmlp4\nY6RGLoSoTc7IfaSlq9SdOZv0avrdUilpaaELd911F6mpqcyaNcvfQxHCI7x6Rq5p2mJN005omrar\n1n1GTdPWa5q2R9O0TzRNi/fmGAJBZmYm27Zta/Eq9eZWVntzhfjAC3sGzOrzlgikjmju0kMMQgjP\n8XZq/XVgaL37pgGfKaV+A2wAHvPyGPyusLCQLVu2eL2XurPp90A7thBCCPd5dSJXSm0GiuvdPQKw\nb+OzDLjRm2PwN5vNxvPPP8+gQYO83vjFm5tpbNq2VRcbdeihvhxMMZjNVeTmmjCbq/x2jG+//ZZL\nLrmE+Ph4xo4dS0VFheOxjz/+mD59+mA0Grniiiv4/vvvHY8dO3aMW265hXbt2nH++efz6quvOh6b\nOXMmo0aNYuzYscTFxdG3b1927dqFEP7gj8Vu7ZRSJwCUUscB/y9n9qJt27YREhJC3759ffJ63mxs\nEkxNU4T/mc1VPP/8dubN28Hzz293ayJu6TEqKyu56aabuOOOOygqKmLUqFH85z//AWDnzp3cc889\nvPbaaxQVFfGnP/2JG264gcrKSpRSDB8+nD59+nDs2DE+//xzXnnlFT799FPHsT/66CPGjBlDcXEx\nt956KzfeeCNWq9XlGIVoqUBY7NbkBah33nkn6enpACQkJNC7d29HjdB+ZhKot1etWkVWVhbPTn0E\nLJVkb9saUONz5XZmZmZAjaclt+0CZTzBfrsxJ0+WU1xcQXx8BMXFFRQUnCUlJbbJ53j6GDk5OVRV\nVfHggw8CMHLkSMc6lYULF/LnP//Z8SH79ttv59lnnyUnJ4eIiAgKCwt54oknAEhPT2fixImsWLGC\na6+9FoBLLrmEm266CYCHH36Yl156iZycHAYMGOBSjKL1sv8OZWdnc+jQIbeP4/WGMJqmpQGrlVI9\na27/BGQqpU5omtYB2KiUuqCR5wZtQxibzcaSxYvpWniW35UhK72FbjXW2MJ+Nl1cXIHRGMmjj/Yn\nIsK1c4eWHmPlypXMmzePr776ynHfuHHj6Nq1K19//TXZ2dlEREQAoJSisrKSxYsXYzAYGDduHLGx\nsY7HbDYbV155JatXr2bmzJn8+OOPrFy50nHc/v378//+3/9j1KhRLsUoWqdgawij1fyx+wi4E3ge\nuANY5YMx+FxOTg6hCi4sU2wtzONyUoK6JWh2gO2B7S49xBEsMUREhPLoo/0pKDhLcnKUy5O4J47R\nsWNH8vLy6tx35MgRunbtSufOnZk+fTqPPXbuetucnBy6dOnCnj17Gj12bm6u499KKY4ePUqnTp1c\nGp8QnuDty8+WA1uB7pqmHdE07S7gOeBaTdP2AINrbuuKo/HLiBGEGONQZ87KSm/RKkVEhJKSEuvW\nJO6JY1x22WWEhoby6quvUlVVxQcffMD27dsBmDhxIv/6178ct8+cOUNWVhZnzpyhf//+xMbG8sIL\nL1BRUYHVamX37t3s2LHDceyvv/6aDz/8EKvVyssvv0xkZCSXXnqp23EK4S7pte5h9XupB0qfcSG8\nJdB7rX/zzTdMnDiRAwcO8Mc//hGAbt26MWvWLNavX8/06dPZv38/UVFRXHHFFSxZsoQ2bdpw/Phx\nHn74YTZu3IjFYuE3v/kNzzzzDFdffTUzZ85k9+7dhISEsGbNGrp168aSJUvo1auXn6MVwcKTqXWZ\nyD1s69at7Nu3jwkTJnj1mnFXeWPnNCEg8Cdyb5g5cyYHDhzgjTfe8PdQRJDy5EQuvdY9qLFe6v6+\n7tfeurWhfbid5e8YPEUPceghBiGE58hE7iEt7aXuTd5s3SqEEMK/JLXuIYGaUgfZh1t4V2tMrQvR\nUlIjDzCFhYUsWbKESZMmBdzZuF0wL7qT+n5gk4lcCNdJjTyAOJNSD4SaZkvbq/orBk/U92sLhPei\npfQQgxDCc2Qib6GcnJwWb08qGqeX+r4yW6jKO9HiDyJCCFGfpNZbwBMpdUkbN00P9X09xNAUSa0L\n4bpga9GqS55Ypa73/+A9wb41a7DW96HhrEKwtuoVQgQeSa27yZWUemM1zWBKG9tj8EeK2JPbp/qj\nvhzS1ojBGIutpMwjrXqlRh78Zs6cye233+7vYfhdRUUFw4cPJyEhgTFjxvh7OEFLzsjdUFhYyJYt\nW5g4cWKLLjVz/Adfc0Ye6L3YJYPgHj1kFfQiIyODxYsXc/XVV/t7KG7/35Gens7JkycJDQ1FKYWm\naezdu5cOHTp4eITe9/7771NQUEBxcXHAXbYbTGQid5E9pX7VVVc5nVJvbKeqYPoPPjMzk6q8E0Gf\nIvbXrmH2rIInBMPOZ8J7NE1jzZo1DBo0yN9DaRGbzcbhw4fp3r27TOItJKl1F3l6lbon08be5ukU\nsdA/c5WZfFM+5iqzX4/RkPrp7cOHD2MwGLDZbAAsXbqUHj16EBcXR9euXVm4cKHjazdt2kRqairz\n5s2jffv2nHfeeSxdurTR1zp06BCZmZnEx8czdOhQCgsL6zyek5PDgAEDMBqN9OnTh02bNjU59oYW\nSdnHVFtGRgYbNmwAqifOOXPm0LVrV+Lj4+nXr59ji9cpU6bQuXNnx/2bN29u9LWzsrK48MILiYuL\nc3wPAJYtW8bAgQPrfK3BYODgwYMA3HXXXdx///1cd911xMbGctVVVzFr1ixWrFhBXFwcr7/+OgcP\nHmTw4MG0bduWdu3aMX78eEwmk+N4R48eZeTIkbRr147k5GQefPBBx2NLliyhR48eJCUlMWzYMI4c\nOdLk91BPZCJ3QWO91Jujh5pmdna2I4OQMHls0KbV9fJeBANzlZmF2xeyeMdiFm5f6NZE7IljNKX+\n73Ht2+3btycrKwuTycTrr7/O1KlT2blzp+Px48ePU1paSn5+PosWLWLy5MmUlJQ0+Drjxo2jX79+\nFBYWMn36dJYtW+Z4LC8vj+uvv54nn3yS4uJi5s6dy8iRIzl16lSL46ntpZdeYuXKlaxbt46SkhKW\nLFlCdHQ0AP3792fXrl0UFxczbtw4Ro0ahcXS8DqYiRMn8tprr2Eymfjhhx/qlCma+n4CvPPOO8yY\nMYPS0lI+//xzHn/8ccaOHYvJZOKuu+5CKcXjjz/O8ePH+emnnzh69ChPP/00UP1B5PrrrycjI4Mj\nR46Ql5fH2LFjAVi1ahXPPfccH374IQUFBQwcOJBbb73V5e9fsJKJ3EmB3Evdl4IpgyD861T5KU5X\nnCYuIo7TFacpOlvkl2O4a9iwYaSnpwMwcOBAhgwZwpdfful4PDw8nBkzZhASEsKwYcOIiYlhz549\n5xwnNzeXHTt2MGvWLMLCwhg4cCDDhw93PP72229z3XXXMXToUAAGDx5M3759ycrKanRsN954I4mJ\niSQmJnLzzTc7Fc/ixYt59tln6dq1KwAXXXSR4/+ycePGkZCQgMFgYOrUqZjN5gZjsce9e/duSktL\niY+Pp3fv3o2+Zv3MwYgRIxx7toeHn/t/yPnnn8/gwYMJDQ0lKSmJqVOnOrITX331FceOHeOFF14g\nMjKS8PBwLr/8cgAWLFjAY489Rvfu3TEYDEybNo2dO3eSm5vr1Pcm2MlE7qSWpNT1UNPUQwygjziC\nJYak6CQSIhMwmU0kRCaQGJXol2O4a+3atVx22WUkJSVhNBpZu3ZtnZR4UlISBsOv/4VGR0dTVlZ2\nznHy8/MxGo1ERUU57ktLS3P8+/Dhw7z77ruOidloNLJlyxaOHTvW6NhWrVpFUVERRUVFfPDBB07F\nk5ubS5cuXRp8bO7cufTo0QOj0YjRaMRkMp2T/rf7z3/+w5o1a0hLS2PQoEHk5OQ49frAOan/+k6e\nPMmtt95KSkoKCQkJjB8/3jGOo0ePkpaWVud7bnf48GEeeughx/cwKSkJTdMcpQO9k8U6Civ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M/R5UTur8YvQgghhK/prkbuz8YvQrRGUiN33cyZM9m/fz9vvvmmv4fSYsuWLWPRokV1doYTzZMa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\nIiISMA3kI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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize = (8,8))\n", "ax.plot(list_of_cs_si[list_of_depths < 15], list_of_model_si[list_of_depths < 15], \n", " '.', color = 'Crimson', alpha = 0.5, label = 'surface')\n", "ax.plot(list_of_cs_si[(22 > list_of_depths) & (list_of_depths >= 15)], \n", " list_of_model_si[(22 > list_of_depths) & (list_of_depths >= 15)], \n", " '.', color = 'DarkOrange', alpha = 0.5, label = 'intermediate')\n", "ax.plot(list_of_cs_si[list_of_depths >= 22], list_of_model_si[list_of_depths >= 22], \n", " '.', color = 'darkblue', alpha = 0.5, label = 'deep')\n", "\n", "ax.plot(list_of_cs_si[(list_of_depths < 15) & (list_of_lons < -123.5) & (list_of_lats < 48.6)], \n", " list_of_model_si[(list_of_depths < 15) & (list_of_lons < -123.5) \n", " & (list_of_lats < 48.6)], \n", " '.', color = 'ForestGreen', alpha = 0.5, label = ' Juan de Fuca surface')\n", "ax.plot(list_of_cs_si[(22 > list_of_depths) & (list_of_depths >= 15) \n", " & (list_of_lons < -123.5) & (list_of_lats < 48.6)], \n", " list_of_model_si[(22 > list_of_depths) & (list_of_depths >= 15) \n", " & (list_of_lons < -123.5) & (list_of_lats < 48.6)], \n", " '.', color = 'CornflowerBlue', alpha = 0.5, label = ' Juan de Fuca intermediate')\n", "ax.plot(list_of_cs_si[(list_of_depths >= 22) & (list_of_lons < -123.5) & (list_of_lats < 48.6)], \n", " list_of_model_si[(list_of_depths >= 22) & (list_of_lons < -123.5) \n", " & (list_of_lats < 48.6)], \n", " '.', color = 'DarkOrchid', alpha = 0.5, label = ' Juan de Fuca deep')\n", "\n", "ax.plot(np.arange(0,56), color = 'grey')\n", "ax.grid('on')\n", "ax.set_title('DFO Silicon')\n", "ax.set_xlabel('DFO')\n", "ax.set_ylabel('Nowcast-green');\n", "ax.legend(loc=4)\n", "print('surface bias = ' + str(-np.mean(list_of_cs_si[list_of_depths < 15]) \n", " + np.mean(list_of_model_si[list_of_depths < 15])))\n", "print('surface RMSE = ' + str(np.sqrt(np.sum((list_of_model_si[list_of_depths < 15] \n", " - list_of_cs_si[list_of_depths < 15])**2) /\n", " len(list_of_cs_si[list_of_depths < 15]))))\n", "xbar = np.mean(list_of_cs_si[list_of_depths < 15])\n", "print('surface Willmott = ' + str(1-(np.sum((list_of_model_si[list_of_depths < 15] \n", " - list_of_cs_si[list_of_depths < 15])**2) / \n", " np.sum((np.abs(list_of_model_si[list_of_depths < 15] - xbar) \n", " + np.abs(list_of_cs_si[list_of_depths < 15] - xbar))**2))))\n", "\n", "print('intermediate bias = ' + str(-np.mean(list_of_cs_si[(22 > list_of_depths) \n", " & (list_of_depths >= 15)]) \n", " + np.mean(list_of_model_si[(22 > list_of_depths) \n", " & (list_of_depths >= 15)])))\n", "print('intermediate RMSE = ' + str(np.sqrt(np.sum((list_of_model_si[(22 > list_of_depths) \n", " & (list_of_depths >= 15)] \n", " - list_of_cs_si[(22 > list_of_depths) \n", " & (list_of_depths >= 15)])**2) /\n", " len(list_of_cs_si[(22 > list_of_depths) & (list_of_depths >= 15)]))))\n", "xbar = np.mean(list_of_cs_si[(22 > list_of_depths) & (list_of_depths >= 15)])\n", "print('intermediate Willmott = ' + str(1-(np.sum((list_of_model_si[(22 > list_of_depths) \n", " & (list_of_depths >= 15)] \n", " - list_of_cs_si[(22 > list_of_depths) \n", " & (list_of_depths >= 15)])**2) / \n", " np.sum((np.abs(list_of_model_si[(22 > list_of_depths) \n", " & (list_of_depths >= 15)] - xbar) \n", " + np.abs(list_of_cs_si[(22 > list_of_depths) \n", " & (list_of_depths >= 15)] - xbar))**2))))\n", "\n", "print('deep bias = ' + str(-np.mean(list_of_cs_si[list_of_depths >= 22]) \n", " + np.mean(list_of_model_si[list_of_depths >= 22])))\n", "print('deep RMSE = ' + str(np.sqrt(np.sum((list_of_model_si[list_of_depths >= 22] \n", " - list_of_cs_si[list_of_depths >= 22])**2) /\n", " len(list_of_cs_si[list_of_depths >= 22]))))\n", "xbar = np.mean(list_of_cs_si[list_of_depths >= 22])\n", "print('deep Willmott = ' + str(1-(np.sum((list_of_model_si[list_of_depths >= 22] \n", " - list_of_cs_si[list_of_depths >= 22])**2) / \n", " np.sum((np.abs(list_of_model_si[list_of_depths >= 22] - xbar) \n", " + np.abs(list_of_cs_si[list_of_depths >= 22] - xbar))**2))))\n", "\n", "print('bias = ' + str(-np.mean(list_of_cs_si) + np.mean(list_of_model_si)))\n", "print('RMSE = ' + str(np.sqrt(np.sum((list_of_model_si - list_of_cs_si)**2) /\n", " len(list_of_cs_si))))\n", "xbar = np.mean(list_of_cs_si)\n", "print('Willmott = ' + str(1-(np.sum((list_of_model_si - list_of_cs_si)**2) / \n", " np.sum((np.abs(list_of_model_si - xbar) \n", " + np.abs(list_of_cs_si - xbar))**2))))" ] }, { "cell_type": "code", "execution_count": 46, "metadata": { "collapsed": false, "scrolled": true }, "outputs": [ { "data": { "image/png": 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ExPQjNjZwv1CW4+Y7MnAVQogm1K8cLNUJhQgFERERvP3227zyyit06dKF9evX\nM2XKFMCzRvXll1/mgQceIDExkX79+pGTkwOATqfj/fffZ+/evfTq1YuUlBTuuecezGazt+0f/ehH\nvPnmmyQkJPD666/zj3/8g7CwwFpWIESw81QO3k1cXDbR0RkXf4AICXIdVyGEaITNdhCH4wQGw1Ap\nwhSi5DqubRcq13H1hUWLFnHkyBHWrFnj71BEkOiM75O2UEphsx3E6SzCYLhGijCFqMb6ZlnjKoQQ\n51HKjdW6F5erApNpFDpdlL9DEkIIITo1T9+8B5erEpNpNDpdpL9DEh1MpgoHCJn/HnxCNS/o3Ll5\nqhN+gVJuTKYRQTVo7czHTQghQl0ofw42p28uL/8coKZvDp5Ba2c+br4mZ1yFEKKGVA4WQrTFk08+\n6e8QhAg5UjlY1JI1rkIIgadysMXyJXp9fynC1InIGte2kzWuQrSevE+a5nSexWrdjV4/QIowdSKy\nxlUIIRpht5/AZssjLi6byMhkf4fTYRyOas6csZGSom/TZUmEEEIIX7PbC7HZDtT0zUn+DkcEAFnj\nGiBk/nvwCdW8oHPlZrMdpLLyIEbjiKAftLbkuDkc1Sxdmsuzz+5i6dJcHI7q9gvMB0L5b1IIIZoj\nlD8H6+amlKKiIp/KykM1fXNwD1o7y3HrCB0+cNU07TFN0/I0TdunadrrmqZFapqWoGnaZk3TDmqa\ntknTNFNHxyWE6FyUcmOx7MbpLMZkGtXpLndz5oyNsjI7JlMUZWV2iosr/R2S8CPpm4UQgUApF1br\nbqqrSzCZRsvlbkQ9HbrGVdO0TOBjoL9Syqlp2pvARuAyoEQptUzTtEeBBKXU/AYeL2tchRBt5nY7\nsVh2omlRGAxZaFqYv0PqEHWnBgMsXZpLWZmdhIRoHn10aKecLixrXNuvb5a1e0JcnLxPvuep6p9L\nWJieuLir0DSZGNpZNdY3d/RfhBlwArGapoUDMUAR8CMgp2afHOCWDo5LCNFJVFdbKS//jPDwRAyG\nwZ1q0Fp3ajDAo48O5ZFHru60g1bhJX2zn+Tk5DB69Gh/hxEQZs+eTWJiIsOGDfN3KMIPPH3zViIi\nkoiLy5JBq2hQh/5VKKXKgN8DBXg6xXKl1L+Brkqp0zX7fAekdGRcgUDmvwefUM0LQje3qqoSNm78\nMzExfYmNHRByJfWbOm4NTQ2OigonPd0QFIPWUP2bDASdtW++7rrrWL16tb/DaPXn0NixY4mJicFo\nNGIwGDAhf4AHAAAgAElEQVQajezYscPH0XWMzz77jI8++oiTJ0+yfft2f4cTsEL1c9DpPFvTN/cj\nNjb0LkUXqscNQvw6rpqm9QYeBjKBcmC9pmkzgPPnSDQ6Z+Kuu+6iZ8+eAMTHx3PVVVcxduxY4PsX\nT24H1u1agRKPr27v3bs3oOKR203f3rx5PXb7t8TE9CM6uoff42mP23v37m10+4EDOzl37gBwGQkJ\n0Xz9dS6HD4cFVPxN3fbV+63238eOHUN4tFffLNqXpmmsWLGC2bNn+zuUNnG5XBw7doyePXsSHR3t\n73D84pNPPgmYz9qO75vfxG4vqOmbM/weT0f3zcF+u8P7ZqVUh/0APwZW1rk9C/hf4ACeb3YBugEH\nGnm8EkKIlqqoyFelpf9WVVVmf4fiV3Z7lSosNCu7vcrfoQSMmn6lQ/vCQPtpr765qT7bXmVXReVF\nyl5lb3Sfi2lrG2PHjlWrVq1Sr776qho1alS9bZqmqSNHjiillPrggw9UVlaWMhqNqkePHmrhwoXe\n/Y4dO6Y0TVM5OTmqR48eKjk5Wf3mN79p9DlLSkrUxIkTldFoVNdcc41asGCBGj16tHf7gQMH1Pjx\n41ViYqLq37+/+tvf/nbR+M9XG5PL5Wp035deekkNGDBAGQwGNXDgQLVnzx6llFLPPPOM6tOnj/f+\nf/zjH40+f25urhoyZIgyGo2qW7du6pFHHlFKKfXJJ5+o9PT0evv27NlTffTRR0oppRYuXKhuu+02\nNXPmTGUymdRLL72koqOjVXh4uDIYDGrhwoWqrKxM3XzzzSo5OVklJiaqm2++WRUVFXnbKy0tVbNn\nz1ZpaWkqMTFRTZ482bvtvffeU1dddZWKj49XI0eOVPv27Ws0h0DQWf9v63a7ldV6QJWWfqSqqiz+\nDkcEmMb65o6eH3YQWKBpWjTgAK4HdgJW4C5gKXAn8G4HxyWECEFKubFa9+Jy2TCZRqHTRfk7JL+q\nnRosxHk6tG92VDt4KfclztnPER8dz71D7yUqvGXvTV+0Udf5UxPr3o6Li+O1115j4MCB7N+/n/Hj\nx5OVlcWkSZO8+2zbto1vvvmG/Px8hg4dypQpU7j00ksveJ65c+ei1+s5ffo0R44c4YYbbqB3794A\n2Gw2JkyYwJIlS9i0aRP79u1j/PjxXHHFFfTv379N+dS1fv16Fi9ezLvvvkt2djZHjx4lIiICgL59\n+7Jt2za6du3K+vXrmTlzJkeOHKFr164XtPPQQw8xb948ZsyYgc1mY//+/c16foANGzbw1ltv8dpr\nr+FwOIiMjGTVqlV8+umnAJSWljJnzhzeeustqqurmTNnDvfffz//+Mc/AJg5cyZGo5EDBw4QGxvL\n559/DsCePXv46U9/ygcffMDgwYNZu3YtkyZN4tChQ94chf95Kgfvxe221/TNkf4OSQQJXUc+mVLq\nK2AN8CXwFaABL+HpFMdrmnYQT4f5TEfGFQjqnioPNaGaW6jmBaGRm6c64ReAwmQa7h20hkJujZHc\nRGt0dN9cYivhnP0cxigj5+znKK0s9UsbTVF1qryOGTOGgQMHAnD55Zczffp0tmzZ4t2uaRoLFy4k\nMjKSK6+8kkGDBvHVV19d0Kbb7ebtt9/mqaeeIjo6moEDB3LnnXd6t7///vv06tWLO+64A03TGDRo\nELfeeivr169vNM4HH3yQxMREEhISGDJkSLNyW7VqFb/85S/Jzs4GoHfv3mRkZAAwZcoU7yB16tSp\nXHLJJeTm5jbYTmRkJIcPH6akpAS9Xs/QoUOb9fwAw4cPZ+LEiQBERV34hUNiYiKTJ08mKiqK2NhY\nHnvsMe+g9tSpU2zatIkXX3wRo9FIWFiYt8DVypUr+dnPfsaQIUPQNI1Zs2YRFRUVMutmQ+Fz0O12\nUF7+BaBhNA73DlpDIbfGSG6+06EDVwCl1O+UUgOVUlcqpe5USlUppUqVUj9QSl2qlJqglDrX0XEJ\nIULH95WDuxAXl91pKgcL0Vod2Td30XchPjoes8NMfHQ8iTGJfmmjuXbs2MG4ceNISUkhPj6eF198\nkbNnz9bbp+4ZSb1ej9VqvaCd4uJiXC4X6enp3vsyMzO9/z5+/Djbt28nMTHROxhdt24d3333XaOx\nPf/885SWllJWVsauXbualU9hYSF9+vRpcNuaNWvIysoiISGBhIQE8vLyLsi11qpVqzh48CD9+/fn\nmmuu4YMPPmjW8wPegXJjKisrue++++jZsyfx8fFce+21nDt3DqUUJ06cIDExEaPReMHjjh8/zu9/\n//t6r+GJEyc4efJks2MT7ae2b5bKwaK1Ar+UZCdRu0g5FIVqbqGaFwR3blVVJVgsX6LX9yc6uscF\n24M5t4uR3EQwiAqP4t6h91JaWUpiTGKrpvj6oo1asbGx2Gw27+3zB4ozZszgwQcfZNOmTURERPDw\nww9TUlLS4udJTk4mPDycwsJC+vXrB0BBQYF3e0ZGBmPHjmXTpk2tzMQjNjYW8Ew9jouLA+rnlJGR\nwZEjRy54XEFBAffeey8ff/wxw4cPByArK6vRa4z26dOHdevWAfD3v/+d2267jdLS0gteT5fLRXFx\ncb3HXmwq8e9//3u++eYbdu7cSXJyMl999RXZ2dkopcjIyKC0tBSz2XzB4DUjI4PHH3+cxx57rMn2\ng1Uwfw46nWexWr9Er7+M6OgLv7gI5twuRnLzHfmqQwgRMuz2E1gsu4iLy25w0CqECAxR4VGkGlLb\nNOD0RRsAgwYNIi8vj3379uFwOFi0aFG9gZXVaiUhIYGIiAhyc3O9g7VajQ3szqfT6bj11ltZuHAh\nlZWVfP311+Tk5Hi333zzzRw6dIi1a9dSXV1NVVUVu3btIj8/v0X5JCUl0b17d9auXYvb7Wb16tX1\nBqp33303y5cvZ/fu3QAcOXKEwsJCKioq0Ol0JCUl4Xa7eeWVV+qtWz3f66+/7j0bazKZ0DQNnU5H\nv379sNvt/POf/6S6upolS5bgdDpblIPFYvFe6qe0tJSFCxd6t3Xr1o2bbrqJuXPncu7cOaqrq9m6\ndSsA99xzD3/5y1+805srKirYuHEjFRUVLXp+4Vt2ewFW624MhiENDlqFaC4ZuAYImf8efEI1LwjO\n3Gy2g1RWHsRoHEFkZFKj+wVjbs0luQnRMpqmcckll/DEE09w/fXX069fP+96yVorVqxgwYIFmEwm\nlixZwrRp0y5oo6nbdb3wwgtYLBZSU1OZM2cOc+bM8W6Li4tj8+bNvPHGG6SlpZGWlsb8+fMbHfQ1\n9TwrV65k2bJlJCUlceDAAUaOHOnddtttt/H4449z++23YzQamTx5MqWlpQwYMIBHHnmEYcOG0a1b\nN/Ly8hg1alSjz/Hhhx8ycOBAjEYjDz/8MG+++SZRUVEYjUZWrFjBT3/6U9LT0zEYDPWmRzfHvHnz\nsNlsJCUlMWLECH74wx/W2/7aa68RHh5O//796dq1K3/84x8BGDx4MCtXruSBBx4gMTGRfv361fty\nINgF2+egUoqKinwqKw9jNI4gIqJLo/sGW24tIbn5jtbcbwoDgaZpKpjibYlP6lzDK9SEam6hmhcE\nV251KwcbjVdftHJwMOXWUpJby2mahlIqtK5238Ea65trXls/RNQ8gwcP5sknn6xXHViIjtaS90kw\nfcbXrRxsMFx90crBwZRbS0luLddY3ywDVyFE0HK7nVgsO9HpoomLu0qKMIkWk4Fr2wXjwDUvL4+h\nQ4eSn59/0UJBQrSnQH6ftJbb7cBs3klYmL6mb5YJnqJlGuub5S9JCBGUpHKwEKI15s+fz4033siy\nZctk0CqEj1VXWygv/4zIyGQMhmwZtAqfkr+mACHz34NPqOYFgZ9bVVUJZvPnxMT0JTa2/0UrVNYV\n6Lm1heQmxMU988wzFBYWcv/99/s7FCFaJNA/B53OszV986Xo9Ze26LGBnltbSG6+I5fDEUIEFbv9\nBDbb18TFZTdZhEk0zuGo5swZGykpeqKipBsQQgjRNnZ7ATZbPgbDkCaLMAnRFrLGVQgRNCoq8nE6\nizAYriE8PM7f4QQlh6OapUtzKSuzk5AQzaOPDu3Ug1dZ49p2wbjGVYhAEezvE6UUNls+TucpDIah\n0jcLn5A1rkKIoKWUG4tlN1VVZzGZRknH2AZnztgoK7NjMkVRVmanuLjS3yEJIYQIQp7Kwbupri6V\nvll0CBm4BgiZ/x58QjUvCKzc3G4nZvMXgMJkGn7Ry91cTCDl5mvNyS0lRU9CQjTl5Q4SEqJJTo5p\n/8B8IJSPmxBCNEcgfQ663Q7Ky78ANIzG4Re93M3FBFJuvia5+U7nnR8mhAh41dVWLJZcIiPT0Osv\nbVERJtGwqKhw5s3LJj+/jP79Ezr1NGEhhBAtV11twWLJJSoqvcVFmIRoC1njKoQISFVVJVgsX6LX\nDyA6Wi5Z4SuyxrU+WePadrLGtfVycnJ4+eWX2bp1q79DabHf/va3fPvtt7z00kv+DsUndDodhw8f\npnfv3vz3f/836enpPP744+3+vMH2PnE6i7Fad6PXDyQ6Ot3f4YgQJWtchRBBw24vxGL5kri4bBm0\n+piscRXC47rrrmP16tX+DqPVM0nGjh1LTEwMRqMRg8GA0Whkx44dPo6ucY899lizB62LFi3ijjvu\naOeI2qbucfjzn//c7EFroPwddQS7vQCrdQ8GwxAZtAq/kIFrgJD578EnVPMC/+WmlKKiIp/KykMY\njSPa5XI3nfW4ORzVFBaaMZkiZY2rECFA0zRWrFiB2WzGYrFgNpu55ppr/B1Wu3C5XO3+HMFw1tO/\nffMBKisPYzSOaJfL3YTyZ7zk5jsycBVCBASl3Fite6RycDuonR787LO7+MMfdjNvXjaPPHJ1p58m\nLPynyqUotbiocrV+sOCLNsAzXXf06NH17tPpdBw9ehSAjRs3kp2djclkIjMzk0WLFnn3O378ODqd\njjVr1pCZmUlKSgpPP/10o89VWlrKpEmTMJlMDBs2jCNHjtTbnp+fz4QJE+jSpQsDBgxg/fr1Tcbe\n0GCrNia32+297/yzgitXruSyyy7DaDRy+eWXs3fvXgCWLl1K3759vfe/8847jT73okWLmDVr1kVf\nh02bNvH000/z5ptvYjAYyMrKAsBsNnP33XeTlpZGRkYGCxYs8OaTk5PDqFGj+PnPf05SUhKLFi2q\nd19CQgKXXHIJn3/+Oa+++io9evSgW7durFmzxhuf0+nkF7/4BZmZmaSmpjJ37lwcDod3++9+9zvS\n0tJIT0/nlVdeqXfGdfbs2TzxxBMAnDt3jokTJ5KSkkKXLl2YOHEiJ0+eBODXv/41W7du5YEHHsBo\nNPLggw+26jgGMqVcWCxfSuVgERBk4Bogxo4d6+8Q2k2o5haqeUHH5+brysFN6YzH7fzpwWZzFenp\nhqAatIbycetsqlyKD3dXsvkrOx/urmzVwNMXbdR1/nTdurfj4uJ47bXXKC8v54MPPuAvf/kLGzZs\nqLf/tm3b+Oabb/j3v//N4sWLOXjwYIPPM3fuXPR6PadPn2bVqlX1BpM2m40JEyYwc+ZMzp49yxtv\nvMH9999Pfn5+m/Opa/369SxevJi1a9diNpvZsGEDXbp4zqD17duXbdu2YTabefLJJ5k5cyanT59u\n9vM09DrccMMN/OpXv2LatGlYLBb27NkDwJ133klkZCRHjx5lz549/Otf/+Lll1/2trVjxw769u3L\nmTNnvNN2c3NzueqqqygtLWX69OlMmzaNL7/8kiNHjvDaa6/xwAMPYLPZAHj00Uc5fPgw+/bt4/Dh\nwxQVFbF48WIAPvzwQ5599lk++ugjb7yNcbvdzJkzh8LCQgoKCtDr9dx///0ALFmyhNGjR/OnP/0J\ns9nM888/79PjeL6O75s9lYM1TeeTysFNCeXPeMnNd2TgKoTwq+pqK+XlnxEe3oW4uGw0LczfIYWc\nYL0EjghNFpubCodCH6lR4VBYKls+6PRFG02peyZzzJgxDBw4EIDLL7+c6dOns2XLFu92TdNYuHAh\nkZGRXHnllQwaNIivvvrqgjbdbjdvv/02Tz31FNHR0QwcOJA777zTu/3999+nV69e3HHHHWiaxqBB\ng7j11lubPFv34IMPkpiYSEJCAkOGDGlWbqtWreKXv/wl2dnZAPTu3ZuMDE8tgSlTptC1a1cApk6d\nyiWXXEJubm6z2m3u6wBw5swZ/vnPf/Lcc88RHR1NUlIS8+bN469//at3n+7duzN37lx0Oh1RUZ4v\nM+u+PtOmTePkyZM8+eSTREREMH78eCIjIzl8+DDgOav83HPPYTKZiI2NZf78+d72169fz+zZsxkw\nYAAxMTEsXLiw0bwSExOZPHkyUVFRxMbG8thjj/Hpp582un9rjmMgqq62UF7+GZGRyRgM2WiaDBmE\n/8lfYYCQ+e/BJ1Tzgo7LraqqBLP5c2JiLiE2tn+HXO6mMx63qKhwHn10aIPTg2vXvjoc1R0UZeuE\n8nHrbAx6HbFRGjanIjZKwxDT8ve9L9porh07djBu3DhSUlKIj4/nxRdf5OzZs/X2qR3sAej1eqxW\n6wXtFBcX43K5SE//vqhNZmam99/Hjx9n+/btJCYmegej69at47vvvms0tueff57S0lLKysrYtWtX\ns/IpLCykT58+DW5bs2YNWVlZJCQkkJCQQF5e3gW5NqU5rwN4cq2qqiI1NdWb689+9rN6z1U7mG6s\n/ZgYzxdwSUlJ9e6zWq0UFxdjs9kYPHiw9/W86aabKCkpAeDkyZP12s/MzGx0jWtlZSX33XcfPXv2\nJD4+nmuvvZZz5841un9rjmNzddTnoNNZXNM3X9phl7sJ5c94yc13gmeemBAipNjthdhsB4iLy26X\nIkyivqiocNLTDfXuk0vjCH+ICNO4MTsGS6XCEKMREdbyQacv2qgVGxvrnV4KXDDAmDFjBg8++CCb\nNm0iIiKChx9+2DsAaonk5GTCw8MpLCykX79+ABQUFHi3Z2RkMHbsWDZt2tTKTDxiY2MBz9TjuDjP\nesS6OWVkZFywtrY2lnvvvZePP/6Y4cOHA5CVleWTokXnfymZkZFBdHQ0JSUljX5h2ZYvMpOSktDr\n9eTl5ZGamnrB9tTUVAoLC723jx8/3ujzLV++nG+++YadO3eSnJzMV199RXZ2NkopNE1rMDdfHEd/\nsdsLsNnyMRiGtEsRJiHaQs64BgiZ/x58QjUvaN/cOqJycFPkuH0vmC6NE8rHrTOKCNNIjNO1acDp\nizYABg0aRF5eHvv27cPhcLBo0aJ6gxGr1UpCQgIRERHk5uaybt26eo9v7sBOp9Nx6623snDhQior\nK/n666/Jycnxbr/55ps5dOgQa9eupbq6mqqqKnbt2tXitZFJSUl0796dtWvX4na7Wb16db2B6t13\n383y5cvZvXs3AEeOHKGwsJCKigp0Oh1JSUm43W5eeeUV9u/f3+znbep16Nq1K8eOHfPu061bNyZM\nmMDDDz+MxWJBKcXRo0ebnILbkufUNI177rmHefPmUVxcDEBRURGbN28G4Mc//jGvvvoqBw4cwGaz\nede+NsRqtXovO1RaWnrBtOKuXbt6C3mB745jQ9q/b27fysFNCeXPeMnNd2TgKoToMPUrB4+W6oR+\nJmtfRWenaRqXXHIJTzzxBNdffz39+vW7oMLwihUrWLBgASaTiSVLljBt2rQL2mjqdl0vvPACFouF\n1NRU5syZw5w5c7zb4uLi2Lx5M2+88QZpaWmkpaUxf/58nE5no7E3ZuXKlSxbtoykpCQOHDjAyJEj\nvdtuu+02Hn/8cW6//XaMRiOTJ0+mtLSUAQMG8MgjjzBs2DC6detGXl4eo0aNavQ5LhZP3dtTp05F\nKUWXLl28a3FzcnJwOp1cdtllJCYmMnXq1BZPp23qOZ955hn69u3LsGHDiI+PZ8KECRw6dAiAG2+8\nkXnz5jFu3Dj69evH9ddf3+hzzJs3D5vNRlJSEiNGjOCHP/xhve0PPfQQ69evp0uXLsybN6/FxzEQ\nSOVgESy0YLhuVS1N01QwxdsSn3zySch+IxOquYVqXtA+ubndTiyWneh00cTFXeW3Ikxy3OpzOKop\nLq4kOTkmoKcJt8dxKzIXkW5KRynV/ourQ1hjfbOmaQF9bczBgwfz5JNPMmnSJH+HIjqxlrxP2qdv\ndmA27yQsTF/TN/vnnJb0zcGpPXI7YT5Bhimjwb45cP+XIoQIGdXVViyWXCIj09DrL+2QIkyieRpa\n+9oZHCo5REF5wcV3FCEpLy+P/Px87zVFheiMqqstWCy5REWld1gRJiGakn82nyJzUaPb5YyrEKJd\nOZ1nsVp3o9cPIDr6wiqRwr8cjmrOnLGRkqIP6DOuvuJWbr767iusTitDuw8lOiJazri2UbCdcZ0/\nfz6vv/468+fP916PUwh/8df7xOksrumbBxIdnX7xBwjRjtzKzd7v9mKrsnF12tWN9s0ycBVCtBup\nHBzYOltVYafLyc6inUSFR5HVLYswXVjtfxpl4NoGwTZwFSKQ+ON98n3l4MFSOVj4XW3fHB0ezVXd\nrmqyb5biTAFCrvEUfEI1L2h7bv6uHNyUzn7c6l63NZiqCrf1uFU4K/is4DMSYxIZnDqYMJ1/1lgL\nIURr+aZv9lQONplGBtSgtbP3zcGqrblZnVY+K/iMLvouZKdmX7RvDt2v1oUQflFbOdjlqsRkGo1O\nF+nvkESN88+wzpuXTUJCtPd2qFYVLq0sZdfJXfRP6k8PUw9/hyOEEB3OUzl4D0o5MJlGSd8s/K7E\nVsKXp75kQNIAMkzNW0omU4WFED7jdjsxm3MJC4shLi7Lb9UJRcMKC808++wuTKYoyssdPPLI1SQn\nxwRFVeHWOmE+wdfFX5PVLYvk2OQLtstU4baTqcJCtF5HvE8CpXKwELUKyws5cPYA2anZJOkvnJXX\nWN8cev9LEUL4hady8A4iI7tL5eAAVXvd1rpnWEO5qvDBswc5YT7B8PThGKJCM0chhGiKVA4WgUQp\nxcGSgxSZixiRMYK4yJZdM1i+cgkQMv89+IRqXtDy3JzOs5jNnxMT04/Y2P4BPWjtzMctKiqcRx8d\nyiOPXB10hZhactzcys2eU3s4U3GGUT1GyaBVCBESWt43F9f0zZcG/KC1M/fNwaylffPuU7s5azvL\n6MzRLR60ggxchRBtZLcXYrXuJi4uWy53EwRqz7AG06C1JZwuJ18UfoFLuRiRMYKo8Ch/hyREo3Jy\nchg9erS/w/CJLVu2kJEhfUCgsNsLsFr3YDAMkcvdCL+r7ZsBRmSMIDKsdWusZY2rEKJVlFLYbAdx\nOoswGK4hPLzl35wJ4UsVzgp2FO0gNS6V/knNO/Mva1zbLljXuF533XXMmjWLOXPm+C2GnJwcVq1a\nxaefftrix44dO5YdO3YQERGBUgpN0/jXv/7FNddc0w6RXtyWLVuYNWsWBQUFfnn+YOXr94mnb87H\n6TyF0XgNYWGxPmtbiNawOq3kFuWSZkjj0i7NW0oma1yFED6jlAurda9UDhYBo7Y6oVQOFp2Fpmms\nWLGC2bNn+zsUESCkcrAINGdtZ9l9aneLKgc3RaYKBwiZ/x58QjUvaDo3t9tJeblnuofJNCLoOsbO\netyCXVO5nTCfYNfJXWR1y5JBa5BwOd1Yv3Picrr92gY0PF1Xp9Nx9OhRADZu3Eh2djYmk4nMzEwW\nLVrk3e/48ePodDrWrFlDZmYmKSkpPP30040+V2lpKZMmTcJkMjFs2DCOHDlSb3t+fj4TJkygS5cu\nDBgwgPXr1zcZe0Nn6mpjcru/f12uu+46Vq9e7b29cuVKLrvsMoxGI5dffjl79+4FYOnSpfTt29d7\n/zvvvNPoc9vtdu666y4SExO5/PLL2blzZ73tp06d4rbbbiMlJYU+ffrwwgsv1Iv7mWeeoW/fviQn\nJzN9+nTOnTtXL/6VK1fSvXt3unfvzu9///smX4fOoum+2UF5+edomg6jcbj0zQGks+ZWWF7I7lO7\nyU7N9smgFeSMqxCiBaRysAg0tZWDR2SMkCJMQcLldLP31e9wmF1EGcO46q5uhEW27Ht0X7RR1/mf\nZXVvx8XF8dprrzFw4ED279/P+PHjycrKYtKkSd59tm3bxjfffEN+fj5Dhw5lypQpXHrphcVw5s6d\ni16v5/Tp0xw5coQbbriB3r17A2Cz2ZgwYQJLlixh06ZN7Nu3j/Hjx3PFFVfQv3//NuVT1/r161m8\neDHvvvsu2dnZHD16lIiICAD69u3Ltm3b6Nq1K+vXr2fmzJkcOXKErl27XtDOwoUL+fbbb/n222+x\nWq3ceOON3m1KKSZOnMjkyZN58803KSws5Ac/+AH9+/dn/PjxPP/882zYsIGtW7eSlJTEgw8+yNy5\nc1m3bp23jU8++YQjR45w+PBhxo0bR1ZWFuPGjWvR69BZfF85OAO9vp+/wxGdXFsrB1+08WD58YQr\nhPAHh6NYlZRsUpWVBf4ORbSR3V6lCgrKld1e5e9QWs3ldqkvT36pth7fquxV9la3U9Ov+L1/C+af\nxvrmxu63nHKobb8rUDv/UqS2/a5AWb5zNLhfU3zRxtixY9WqVavUq6++qkaPHl1vm6Zp6siRIw0+\nbt68eernP/+5UkqpY8eOKZ1Op06ePOndPnToUPXmm29e8DiXy6UiIiLUoUOHvPf96le/8j73m2++\nqcaMGVPvMffdd59avHhxo/HHxsaqhIQEFR8frwYPHlwvJpfLdUGuSil1ww03qOeff77hF+U8V111\nldqwYUOD23r37q02b97svf3SSy+pjIwMpZRS27dvV5mZmfX2/+1vf6vmzJmjlFJqwIAB6j//+Y93\n28mTJ1VERIRyuVzq2LFjStO0eq/TL3/5S3X33Xc3K+Zg09b/2zocZ1RJyYeqsrLQRxEJ0XrVrmq1\nq2iX2np8q3JUt/xzuVZjfbOccRVCXJTdXoDNlo/BMJiIiC7+Dke0gdlsZ9GiL3A6XSQn64Pusjjg\nqXqZRXcAACAASURBVE64s2gnUeFRDE8fTpguzN8hiRaISQwnyhjmPVsak9Dyvz9ftNFcO3bs4LHH\nHmP//v04nU6cTidTp06tt0/dM5J6vR6r1XpBO8XFxbhcLtLTv6/wmpmZydatWwHPFNnt27eTmJgI\neE4suFwuZs2a1Whszz//fIuLSxUWFtKnT58Gt61Zs4bnnnuOY8eOAVBRUcHZs2cb3PfkyZMX5FKr\noKCAoqKierm43W7GjBkDeHKdPHkyOp3Ouz0iIoLTp08DnjPG57e9f//+FuXZGXzfN19NRESiv8MR\nnZzT5SS3KJeY8BhGZIxAp/l+RaqscQ0QnXX+ezAL1bzg+9yUUlRU5FNZ+Q1G44iQGLR2huMG4HBU\nU1hoxuGornff4sVf8J//FLB//1mKi20UF1f6IdKWq82twlnBZwWfkRiTyODUwTJoDUJhkTquuqsb\nV87q2uopvr5oo1ZsbCw2m817+7vvvqu3fcaMGdxyyy0UFRVx7tw57rvvvtozzS2SnJxMeHg4hYWF\n3vvqVuDNyMhg7NixlJaWUlpaSllZGWazmf/93/9tcT5AozllZGRcsLa2NpZ7772XFStWUFZWRllZ\nGQMHDmw017S0tHq5HD9+vN5z9O7du14u5eXlvPfeewD06NGDf/7zn/W2V1RUkJqaCnj6nvNfp7S0\ntBa9DqGoft/8NZWVhzGZRobEoLWz9M2hpjY3q9PK1uNbSdInkZ2a3S6DVpCBqxCiEZ7Kwbupri7B\nZBotl7sJIg5HNUuX5vLss7tYujTXO3g9c8ZGZWU1MTHhlJXZiYwMIzk5xs/RNl+JrYRthdvom9iX\nAckDZI11EAuL1BHXNbJNA05ftAEwaNAg8vLy2LdvHw6Hg0WLFtX727JarSQkJBAREUFubm69dZjQ\ncIGkhuh0Om699VYWLlxIZWUlX3/9NTk5Od7tN998M4cOHWLt2rVUV1dTVVXFrl27yM/Pb1E+SUlJ\ndO/enbVr1+J2u1m9enW9gerdd9/N8uXL2b17NwBHjhyhsLCQiooKdDodSUlJuN1uXnnllSbPck6d\nOpXf/va3nDt3jhMnTvCnP/3Ju23o0KEYDAaWLVuG3W7H5XKRl5fHrl27ALjvvvv41a9+5R24FxcX\ns2HDhnrtP/XUU1RWVpKXl8crr7zC9OnTW/Q6hCpP5eAvqa4uw2QaJZe7EX531naWbQXb6NelX7Mv\nRddaMnANEGPHjvV3CO0mVHML1bwAxowZXlM5WAvK6oRNCeXjVpvbmTM2ysrsmExRlJXZvWdVTaZI\n8vJKOHfOTnR0OPPnB8804b7ZfaVysPA5TdO45JJLeOKJJ7j++uvp16/fBRWGV6xYwYIFCzCZTCxZ\nsoRp06Zd0EZTt+t64YUXsFgspKamMmfOnHrTfOPi4ti8eTNvvPEGaWlppKWlMX/+fJxOZ6OxN2bl\nypUsW7aMpKQkDhw4wMiRI73bbrvtNh5//HFuv/12jEYjkydPprS0lAEDBvDII48wbNgwunXrRl5e\nHqNGjWr0OZ588kl69OhBr169uPHGG7njjju823Q6He+//z579+6lV69epKSkcM8992A2mwF46KGH\n+NGPfsSECRMwmUyMGDGC3Nzceu1fe+219O3bl/Hjx/PLX/6S66+/vtFYOgtP3/w5mhYmfXMQCeXc\n+mT1Yfep3QxOG+yzysFN0Voz3cVfGrvIuRDCd6RycPCrPeNaVmYnISHau4718OEyZsz4AKfTRWRk\nGOvW3Uyf/8/enYe3VV6JH//KkiVZsiTvsR3b2ShZyeIliYPZIRRaIEw70NIS1g7LZNq0gSdApmnD\nkkkopClMoGVph5S2Uzr9QUsLLSkQmpDFSewE4i0JIbHs2LG86UqWdGVJ9/eHI+M93rX4/TyPH3B8\npXuPr6yj9973nHdGQqgP97yCnYMXT1486p2D+1vkXBi8/nLzud9tCI5ocPLy8vjRj37UrTuwEHqn\nT59m+vTptLe3d9bARrPB/p2IzsFCOFGULzoHL8laMrqdg+k/N0f/O0KEmAjz36NNNMbl9TYiSR9z\n4EATRuPYTvcIlWg8b0HB2HQ6DWvXLmbNmoI+mi8pdJxW5dxX+AooAUrqSrC5bPg/94vlboRRU1ZW\nRmVlJYsWLQr1oQh9COcLHqHg9dqQpD0cONActYPWiZCbo4U/4KekroRGVyOBzwOjPmgdiBi4CoIA\ndHQndDpLMJny0WrTQn04wgjpdBqyskzdBq1paXHExcUiywHi4mLDur7V6/ey17qXgBKgMKsQrTp6\npsQJofXII4/w5S9/maeffprs7LGf2iYMXTReNB0uj+c0TmcpJlMBWm1qqA9HmOBkn8zemr0ALMte\nRqw6dlz3L6YKC8IEpygKLlcVXu8ZTKbFoglTFLNaJZ5+upjY2Bja2wOsXbuErKzwu4vp9Dopri0m\nIz5jzBs9iKnCIxepU4UFIRz093fSkZsr8HrrMZuXiCZMQsg5vU721+xnsnkyM5PHtpSsv9wcGV05\nBEEYEx2dgw8TCHiwWIqiqtGD0FtamoHUVAMtLR5SUw1hece1ydXEobpDzEqZJZowCYIwIXV0Di5F\nUbwiNwthodHVyKEzh5iTOmdcmjD1R0wVDhPRNv+9q2iNLdLjCgTkfjsHR3psA5nIsel0GlavzuWb\n35zF6tW5YddRuEaq4eCZg+Rm5PYatEbzeRMEQQjqyM3BzsFLRW6OApEeW7W9mpK6EvIz83sNWsc7\ntvD61CIIwrgIdg7W6bIwGGaG+nCEcSLLPrZuLenVbTgcBDsHL8teJpowCYIwIfl8DiRpP3p9TtQ2\nYRIiR9fOwcuyl41rE6b+iBpXQZhgvN5GnM5DGAxz0OtFY5KJ5MSJFjZt2k96upG2tnbWrCkIeY1r\nQAlwuP4wrnYXBZkF6DS6cd2/qHEdOVHjKgjDF/w78XptOJ0lGI3z0Okmh/qwhAnOH/BzuP4wHp+H\ngskF494gUSyHIwhCt87BYtA6sciyj1//uoyyskbef78ak0kb8hrXYOdgRVEozCoc90GrIAhCOOja\nOVgMWoVQC3YOVqlUFGaHV1d/MXANE5E+/30g0RpbJMWlKAptbZW43Scwm5cRG5s84PaRFNtQTcTY\nZNnH4cMNNDd7uOqqKcydm8Idd8wN6TRhp9fJ7urdJBuSyc3IRR2jHnD7aD5vQvjYsGEDt99+e6gP\nQ5hg3O7PsFguJjY2acDtovl9UMQWHoK5OcWQwqL0RcSoBh4qjndsYuAqCFGuo3NwCT5fExZLkVju\nZoKRZR+bNxfz+uvllJU1YrfL5OSYQjpFuMnVxB7rHi5IumDMl7sRhKGKlNfj8ePHWbFiBWlpaaSk\npHDddddx7NixUB+WMAwWS5FY7kYIuUZXIx9Xf8yFyReGbW4WNa6CEMUCARlJOoBabSA+fiGq81w5\nE6KP1SqxZctBLBYdTU1uVq6cy/z5qSG721oj1VDWUEZeZh4phpSQHENXosZ15KKpxnXDhg189tln\nbN++PdSHcl4HDhzg6NGj3HzzzZhMJjZs2MAf/vAHKioqQn1owhBE4t+JEH2q7dVUNlaSl5FHsmHg\nWXnjQdS4CsIE4/M5sNt3o9WmYjLlikHrBJWWZiAxUY/dLpOaagjpoLWqsYqqxiqWZS8Li0GrMHFt\n3ryZrKwszGYzs2fP5sMPP+xzuz//+c/MmzePpKQkrrzySiorKzt/Nm3aNDZt2sTcuXNJTk7mnnvu\nwev1dv78L3/5C4sWLSIxMZGioiI+/fTTUY2hoKCAu+66i4SEBNRqNd///vepqqqipaVlVPcjCEL0\nUhSFClsFJ5pPsCx7WVgMWgciPsmGiUia/z5U0RpbOMfl9TYiSXuJi5s5rOVuwjm2kZposel0Gtau\nXcyaNQUhW/4moAQoqSvB5rJRlFM0rOVuovm8CePr2LFjbNu2jUOHDiFJEn//+9+ZOnVqn9vddttt\nPPfcc9hsNq677jpuuOEGfD5f5za//e1v2bFjB5999hlVVVU8+eSTAJSWlnLPPffw8ssv09zczH33\n3ceNN95Ie3t7n8e0YMECkpKSSEpKIjExsdt/V61aNai4PvroIzIyMkhMTBz6L0WICNH8PihiG3/+\ngJ+SuhKa3c0U5RQNa7kbsY6rIAgj4vFU43JVYjLlnbcJkzBxhGoqmtfv5UDtAfQaPYVZhedtwiRM\nHG9XvT0qz3PDzBuGtL1arcbr9XL06FGSk5PJycnpc7s33niDr371q1x55ZUAPPTQQ/zsZz9jz549\nXHrppQD8x3/8B5mZmQCsW7eO7373uzz++OO8/PLL3H///eTn5wNw++2389RTT7Fv3z4uueSSXvs6\ncuTIkGLoqaamhlWrVvHTn/50RM8jCMLEIPtkDpw5gCHWQGF24XmbMIULMXANE5dffnmoD2HMRGts\n4RaXoii4XJV4vXWYzctG1IQp3GIbTRMttmBzppYWD4mJ+nG96+r0OimuLSbTlMnM5JkjavQQzedt\nohrqgHO0zJgxg61bt/LjH/+Y8vJyrr32WrZs2UJ6enq37c6cOcOUKVM6v1epVGRnZ1NbW9v5b1lZ\nWZ3/P2XKFM6cOQPA6dOn2b59O88//zzQ8f7c3t7e+fPRZLPZuPbaa1m1ahW33HLLqD+/ED6i+X1Q\nxDZ+HLKD4tpiJpsnR1xujozhtSAIA/qic3Cz6BwsdNPQ4KKlxYPFoqOlxYPN5h6X/YrOwUI4+8Y3\nvsGuXbs4ffo0AGvXru21TWZmZufPg6xWa7fBqtVq7fz/06dPd959zc7OZt26dTQ3N9Pc3ExLSwtO\np5Nbb721z+OZN28eZrO525fJZMJsNvPggw/2G0drayvXXnstK1as4JFHHhn8L0AQhAnJ1mZjj3VP\nWHcOHogYuIaJcJ3/PhqiNbZwiSsQkLHb9wIqzOZCYmJGvlB0uMQ2FiZKbLLsw2qVsFi0nc2ZEhP1\npKbGjflxWO1WDp45SG5GLjmWvqdhDlU0nzdhfB07dowPP/wQr9eLVqslLi6OmJjeH4duueUW/vrX\nv/Lhhx/i8/l45pln0Ov1FBYWdm6zbds2amtraW5uZuPGjXzjG98A4Dvf+Q4///nPKS4uBqCtrY13\n3nmHtra2Po/p6NGjSJLU7cvhcCBJEi+88EKfj3E4HCxfvpyioiKeeuqpkf5ahAgQze+DIraxV22v\nprS+lPzMfLIt2aPynKLGVRCEQfP5HDgcxeh0WcNqwiREp67Tg81mLbfcMgu9Xk1WlmnMpwlXNlZS\nK9WyLHvZsJowCcJYk2WZRx55hMrKSmJjY1m2bBkvvfRSr+0uvPBCXn/9dVatWsWZM2dYuHAhb7/9\nNhrNF39Dt912G8uXL6euro4VK1awbt06APLy8nj55ZdZtWoVJ06cIC4ujqKiIi677LJRi+PNN9/k\n0KFDVFRU8Ktf/QromM5cXl7e7a6wIAgTm6IoVDZWUuesY1n2smE1YQoXYh1XQYhQXm8jTmcJBsMc\n9HrxIUX4QnDtVqMxlvffP83cuSnk5JjHtL41oAQ4XH8YV7uLgswCdBrdmOxntIl1XEcumtZxHYpp\n06bx6quvdjZvEoThiPa/EyG0/AE/h+sP4/F5KJhcgFY98ll540Gs4yoIUcTjqcbpLMFkypswg9bg\n1FdZ9p1/4wkuuHZrfX0boCI93Tim9a1ev5e91r0oikJhVmHEDFoFQRAEIVrJPpm9NXtRqVQUZhdG\nzKB1IGLgGibCZf77WIjW2EIRl6IotLVV4HafwGxeNmbL3YTbOQtOfd2y5SCbNxePaPAabrGNpmBs\nwbVbH310CddcM4W2tvYxq291ep3sOr2LZEMyuRm5Y7bcTTSfNyEyRVpTEyHyRfP7oIhtdDlkB7ur\nd5NqSCU3I3fMlrsRNa6CIPSpo3PwYQIBDxZL0ag0YYoUfXXGzcoS9ZMD0ek0ZGWZWLlyLiqViqys\n+FGfJtzkauJQ3SFmpcwatSZMghApTp48GepDEARB6MXWZqOkroS5aXPJMkfXrDxR4yoIESAQkJGk\nA6jVBuLjF6KKkIWiR0so1yKNVLLsY+PGfdTWOpk8OZ7HHls6qr8zq91Kua2cvMw8Ugwpo/a8403U\nuI7cRK1xFYTRIP5OhNFUba+msrGSvIw8kg1jMytvPPSXm8XAVRDCnOgc3EGWfdhsblJT48SgdRBO\nnGjh9tv/iqKASgWvv/4VZsxIHPHzKopCVVMVtVItS7KWRHR3QhAD19EgBq6CMHzi70QYDV07By+e\nvDhqc/PEum0TxsTc/sgzHnF5vTYkaQ9xcTPHddAajucsOPV1pIPWcIxttPSOTdXlvyMfmwWUACV1\nJTS6GinKKRrXxBjN500QBGEwovl9UMQ2fP6An5K6EprdzVGfm8VtC0EIUx5PNS5XJSZT/pg1YRKi\njyz7aGhwkZYWxxVXZHPyZCvTpyeQlTWyROb1ezlQewC9Rk9hVuGYNWESBEEQBGFwZJ/MgTMHMMQa\nKMwuHLMmTOFCTBUWhDCjKAouVyVebx1m8xLUamOoD0mIEF1rgU0mLX5/gLNn3UyebBxRjavT66S4\ntphMUyYzk2dGVTdVMVV45MRUYUEYPvF3IgyXQ3ZQXFtMljmLmSnRVUrWX24Wd1wFIYwoih+HoxRF\nkSdc52Bh5Lp2X66pcQAd3YTtdnnYnZgbXY2U1JUwO2U22Zbs0T9oQRAEQRCGpNHVyKEzh6Kyc/BA\novt+cgQRc/sjz2jHFQjI2O17UKliMJsLQzpojdZzBtEdW0XFARIT9djtMpmZ8UyebMRul4e9hqvV\nbqWkroTcjNyQD1qj+bwJ48vr9XLvvfcydepULBYLubm5/O1vf+u13V133dXt+9dee42YmBieeeaZ\nbv+enZ3NP//5z1E9xrVr15KTk4PZbCY7O5s1a9bg9/s7f3748GHy8/MxGo0UFBRw5MiRUd2/EJ6i\n+X1QxDZ41fZqSupKyM/MD/mgdbzPmxi4CkIY8Pkc2O270WonYTLlTrjlboTRodWqWbt2MWvWFLBu\n3VIee2wpa9YUDHn5oGB3wmNNx1iWvSyil7sRhJ58Ph85OTns2rULu93OE088wS233EJ1dTUADzzw\nANXV1ahUKpqamrjvvvvweDwAJCUl8fTTT9PW1jbk/X700UdcccUVg9r2nnvuoby8HEmSKC4u5u9/\n/zuvvPIKAO3t7axYsYKVK1fS2trKypUruemmm/D5fEM+JkEQIoeiKFTYKjjRfIKLsy+O6OVuhkvU\nuApCiHm9NpzOEgyGuej1E2e6hzCwL5osGc476BzKtucTUAKU1pXi9rlZPHkxWnV0T1cXNa4jFw01\nrgsWLODHP/4xN998M1arlfXr17Nr1y7y8/NZv349c+bM4bXXXuOVV14hKSmJvLw81q9fD3Tccf3N\nb37DpZdeOuA+PvroIzZs2MAHH3wwpGOrra3l+uuv5/HHH+emm27ivffe45577sFqtXZuM2XKFF5+\n+WWWL18+9OCFkIqkvxMhdPwBP4frD+PxeSiYXDBhc7O4rSMIIeTxVON0lmIy5YtBq9Ap2GRpy5aD\nbN5cjCz3fydlKNuej9fvZY91DwDLspdFfWIUBICzZ89y7Ngx5s6dC3Tc1Qg2IOvZiEylUvHEE0+w\ndetWWltbx/S4Nm/ejMlkIicnh6985SvcdNNNAJSXlzN//vxu2y5YsICysrIxPR5BEEJD9snsrdmL\nSqWiMLtwQudmMXANE2Juf+QZSVyKotDWVoHbfQKL5eKwW+4mWs8ZREZsXZsstbR4sNncg9r2k0/2\nDbjtQJxeJ7tO7yLFkEJuRm7YtdSPhPMmDE1j49uj8jUSPp+Pb3/729x1111ceOGFAGzatIkNGzZw\n6aWXsm3bNp577rnOqcIA8+fP55prrmHz5s1D2tdQ76qtXbsWh8PBoUOH+M1vfsObb74JgNPpxGKx\ndNvWbDbjcDiG9PxC5Inm90ERW98csoPd1btJNaSK3IzoKiwI4050DhbOJy3NQGKinpYWz3kbK3Xd\n1mTSDqsJk+gcLIRCSsoNId2/oih8+9vfRqfT8fzzz3f++wsvvND5/0lJSfz85z/v9djHH3+cJUuW\n8P3vf3/AfWzevJlNmzahUqlob29HlmWSkpI67+o2Nzef9zgXLlzIgw8+yK9//Wtuvvlm4uPjkSSp\n2zZ2ux2TaehdwwVBCF+2NhsldSUTrnPwQESNqyCMo0BARpKKUauNxMcvFE2YQmw0a0NHmyz7sNnc\npKbGnffYJMlDZWUzs2YlYTbrh7Qfq91KRWMFuRm5E7IJk6hxHblIrXG9++67qa6u5p133kGrPf8F\nxNdee41XX321s4Pw3Xffjclk4s033+T1118fsxpXgKeeeoqKigpef/11duzYwT333NPZTApEjWsk\nC/e/EyE0qu3VVDZWkpeRNzGbMIl1XAUhtHw+Bw5HMTpdNgbDhaE+nAkvWBsavKs51M67Y2mojZm2\nbi0ZchyKolDVVEWtVMuy7GXEa+NH6/AFIezdf//9VFZW8o9//GNQg9a+rF+/vlet6WhQFIWXX36Z\nW265hYSEBIqLi9m2bRvbtm0D4PLLL0etVvP8889z33338fOf/5yYmBiuvPLKUT8WQRDGV7Crf52z\njouzL8aoNYb6kMKKuN0TJsTc/sgzlLi8XhuStIe4uJkRMWiN1nMGX8Q2lDrS8RQcUD/9dDHr1u1C\nkjx9bmO1Sp0D3KHWuPoDfkrqSmh0NXLJlEsiYtAaza9JYXxVV1fz0ksvcfjwYSZNmoTJZMJsNvO7\n3/1uSM8zdepUbr/99mEtjXM+b775JhdccAEWi4V7772Xp556iptvvhmA2NhY3nrrLV577TUSExPZ\nvn07f/rTn9BowuPCmzB2ovl9UMTWkZsP1R2i2d1MUU5RRAxaRY2rIEQZj6cal6sSkyk/7JowTWRD\nqSMdTw0NLmw2F0ePNtLaKqMosHHjJZ13UXveKV69OndINa5ev5fi2mLiNHEsy14Wdo0eBGGs5eTk\nEAgEhvy4O+64gzvuuKPbv3W9E3o+l1122aCmCatUKt59990Bt1mwYAEHDx4c1H4FQQh/sk/mwJkD\nGGINFGYXitzcD1HjKghjRFEUXK5KvN46zOYlqNXhf+VsohlKHelo77e/qcCy7GPdul28/341CQk6\n5s1LYe3aJWRldTResVoltmw5iMWiw26XWbOmALM5lsrKFmbNShywxtXpdbK/Zj+TzZOZmTyz11If\nE5GocR25SK1xFYRwIP5OBIfsoLi2mGxLNhcmh/+svPEgalwFYRyJzsGRQafTdA4Ix8v5amt1Og3r\n1xfS3h6gpcWNWq3CbI7t/HnPO8U6XQyPP74XWfaTmmrot8ZVdA4WBEEQhPAiOgcPjbgPHSbE3P7I\n019cgYCM3b4HlUqN2VwYkYPWaD1nEPrYetbW1tQ4OutVg3Q6DfHxsRw92szevXU888xBJMmD1dqx\nBMbatYtZs6aA1atz2bSpmPffr+bo0UZKS/f2WeNqtVspqSshLyMvYgetoT5vgiAIoRbN74MTMbZq\nezWl9aXkZ+ZH7KBV1LgKQgQTnYOF8+l6x9Rs1vLaa2U4HN7OelW73Yss+zl71oVW23Ft0WqV2LBh\nL4GA0nmXNivLhNUq4fX6SUjQ0doqk5am7lbjKjoHC4IgCEJ4EZ2Dh0/UuArCKPF6bTidJRgMc9Hr\nI/PKmTA+grW1Ho+Pn/3sEBpNDLLsw2DQ4vcHMJu1+HwBPvigGlCxZEk6fr9CcnJcZ11rVpapc9px\nfb0Tv1/hySeLSE3tSID+gJ/D9Yfx+DwUTC5Aq468O//jQdS4jpyocRWE4RN/JxOLP+CntL4U2SeL\n3DyA/nLzuA9cVSqVBXgFmAcEgLuBY8DvgSnAKeAWRVHsfTxWDFyFsNS9c3BSqA9HiBCS5GHFirdo\naZGJi1OzaNEkUlMN2O0yq1YtOreVitRUfb9rtUqShw0b9uL1flHjqtIEKK4txhBrYGH6QtGdcABi\n4NphLHKz+EAuCOcn/k4mDtknU1xbjFFrFLn5PPrLzaH4jf0MeEdRlNnAAqASeAT4h6IoM4EPgEdD\ncFwhNRHn9ke6nTt3oigKbW3luN0nsFgujppBa7SeMwiv2Ox2L3PnpnDFFdksXJhGXFwsdrtMYqKe\nrCwTM2YkMmNGAmazvrOutWfzJbvdSyDQcTf2k0/2ceqMjV2nd5FiSGFR+qKoSYzhdN6i1Kjn5ilT\npqBSqcSX+BJfA3xNmTJl0H9T0fw+GO2xOWQHu6t3Myl+ErkZuSI3D9O41riqVCozcImiKHcCKIri\nA+wqleom4LJzm70G7KQjYQpC2OroHHxIdA4Whi0tzUBqqoGWFg/p6fGsXp2LJLX3uTxPfx2Qu9bM\nxsZ7OS4fZkHGvIhtwiSMv7HKzadOnRrV4wyFnTt3cvnll4f6MMZEtMb24Yfvk5dnRlF8mEz5xMTE\nnv9BgjCGWt2t7LHuEZ2DR8G4ThVWqVQLgJeAcjqu6B4EVgO1iqIkdtmuWVGUXreuVGKqsBAmAgEZ\nSSpGrY4nPn4Bqii5ciaMv9FYS1aWfRz5/DgNnKIwZzHJhuRRPsropVKJqcIiNwvRwu/34HAUo1ab\niY+fL3KzEHLV9moqGyvJy8gLaW4eaP34cNRfbh7vI9cAucC/K4pyUKVS/ZSOq7c9M16/GfDOO+9k\n6tSpACQkJLBw4cLOK4bB29Xie/H9WH5fVJSHJO2nuLgOvT6byy+PCavjE99H3vdZWaZhP/6yyy7j\nc8cJdpe+y+yU2STPSg55POH8ffD/o+Fu4CgSuVl8H/HfFxXlIknFFBfXo9dnIXKz+D6U31922WVU\nNlby7j/O5eYZocvNXq+fjz6K5fjxFtrbj3PvvfP5yleWh/T30/P74P+fLzeP9x3XScBeRVGmn/u+\niI7kOAO4XFGUsyqVKh348FydTc/HR+1V3Z07d3aexGgTTbEFOwcbjfPYu/d41MTVUzSds56iJzyh\n4wAAIABJREFUKbaenYP37NoTNbH1NFbnTdxxFbl5INH0ftFTNMXm9TbgdJZiNF7E3r3HoiaunqLp\nnPUUTbH17Bwc6txcVtbI8uVv0NrqRaWCO++cx7PPXj4qd17HOzfHjPqeBqAoylnAqlKpLjz3T1cB\nZcCfgTvP/dsdwJ/G87gEYTA8ntM4naWYTAXodJNDfTjCBOf1e9lbsxeVSkVhdqFoqS8Mm8jNQiRz\nu0/hdB4+l5szQ304wgQn+2T2WPcQo4oJm9xcV9dGa6sXr9ePLPuprXVgs7lDfVjDEorlcBbQ0XI/\nFjgJ3AWogTeAbOA0HS33W/t4bNRe1RXCl6IouFwVeL31mM1LUKvFQtFCaDm9TvbX7CdVP4kEXzaT\nJhkjomYlHIk7rh1EbhYiTUduLsfrbcBsXixysxByDtlBcW0x2ZZsLky+8PwPGGX91bGWlTVyzTVv\n0NjoRlEgN3cSO3Z8HbNZP+7HOFjhUuOKoihHgII+fnT1eB+LIJxPR+fgUhTFKzoHC2Gh0dVISV0J\n081f4rcv1tHScqjX2q6CMFQiNwuRpCM3l6AovnO5WXQOFkLL1majpK5kzDsHS5KHiopmZs9O6jbw\nlGUfmzcX91rvXZI8NDe7+epXp/PBB1aSkvTk5aUhSe1hPXDtz7hOFRb617U4OdpEamyBgIzdvgeV\nSo3ZvLTXoDVS4xoMEdvokmUfVquELPuG9fMgq91KSV0JeRl56DzJtLR4sFh0tLR4sNnc4rwJwiiL\n5tddpMbm93uw2z9GpYrFbF7Sa9AaqXENhogtPFXbqymtL6VgckGfg9bRiq2mRuKKK37Pvff+nRUr\n3kKSPJ0/a2hw9fpMIEkebrzxTe6/fwfl5U1cd900lizJID09ntTUuFE5pvE+b+LyvCD0wedzIEn7\n0etzMBjGf7qHED36uwoaJEkeNmzYi9frJzXV0OedU0VRqGqq4ozjDMuylxHwaDh1yobBoMFul0lM\n1JOaGseJE+MdnSAIwvjx+SQkqRi9fgoGw5dCfTjCBKcoChWNFdQ767k4+2KM2rGbrm6ztXH99X/k\n2LFW9PqOzwhVVS0UFGQA3dd0D34mKC6uo6qqBbVaRXOzhyeeKOJLX0oa0fJ7oTbuNa4jIepohPHQ\ntXOwaMIkjJTVKrFly0EsFh12u8yaNQVkZZmAjkHrQw99RHFxHYmJeubNS2Ht2iWdP4fenYM9bQFW\nrHiLlhYZi0XLiy9ew/TpCRGbhEJN1LiOnMjNwnjo2jlYNGESQq1n5+CxbMIkyz7+4z/e5//+rwpJ\nakethnnzUvjww1t7TRcOrgsPsGtXLXfe+Q4+n0JsrIr33vtXZs9OGbPjHE1hU+MqCOHM4zmNy1WF\nyVRAbGxSqA9HiAJ9XQWFjgSzYcNeiovrsNtlALRaNWZzLFarRFqaAdR+Dpw5gCHWQGF2ITGqGEor\nzpwbtHYMhJ3OdjFoFQQhqrndp3C7j4ncLIQF2SdTXFtMvDa+MzePpYYGF21tMi0tXgACAXjxxWt6\n1ajqdBqyskydM71sNhfTp1tIT4/nS19KYPr0hDE9zvEgalzDRCTP7T+fSIhNURTa2spxuz/DYrl4\nUIkxEuIaLhHb6NHpNKxdu5g1awq6TQNuaHDh9fpJTNRjsejIy0vn29+ew7PPHmTLloM8vmknH3z2\nESmGFHIzcmn3BrBaJaZPt5CYqDs3RVjH1KnmzvpYcd4EYXRF8+suEmLryM1leDyfY7EUidwsYgs5\nh+xgV/UuJsVPYlHGokENWkcam8Wi5eDBhm7/duSIrd/tg/WuyclxLFiQxsMPF7B+/bIxucgtalwF\nYZx90Z2wXXQOFgatv7bzfel6FTR4NzUtzUBqqoF581LQaFTExcWybVspZWWNFF5locJZwQpuZFbK\nrF51sr///Q2cOiUxdaqZF1880vnvS5f6xyl6QRCEsSU6BwvhJtg5eF7aPCabx6+UzG738qUvJXDs\nWMdqZIoCM2ZY+t2+60yv1FQD8+enRs3MLFHjKkxogYCMJBWjVscTH78A1RhP9xCiw/kaLg32MQA2\nmxuPx8e2baUYjbG883EJaXPaWJi2iA2PXINOp+m3Tnag+llhcESN68iJ3CyMNr/fg8NRjFptJj5+\nvsjNQsidbj1NVVMV+Zn5JMWN73R1SfJw+eVvcORIx13XhAQdf/rTv1BU1P/guWe962AvtIcLUeMq\nCD2IzsHCcPXVdv58A8b+HhO8E5uQoOOkdJy5l8DDt93OzGkZnQmmZ51ssA7WYtH2WT8rCIIQqUTn\nYCGcjGfn4P40NLiZPTuRs2fbcLvbmTLFzMyZA9er9qx3bWnxYDJpWblyLtnZpgEHsD1nlPW3dmwo\niEtYYSJS5vYPRzjG5vXakKQ9GI2zhz1oDce4RouIbWDBgWTXpWiG85jg1GF/wM/yOzWsuG0yLzzy\nHebPyu6WVLrWya5encvWrSVs2XKQrVtLWL06t7N+du/e3SOOLVxF82tSCF/R/LoLx9i83gYkaS9G\n45xhD1rDMa7RImIbX/6An4NnDtLqaaUop2jYg9aRxCbLPrZvL+PkSYmMDCNTpyZQUDCJF188ct61\n3+GLi+ZGYyw7dpxm06ZiNm8uHnBd+c2bi9my5eC5Bk9trFjxFvffv6PX2rEjjW04xB1XYcIRnYOF\nkQoOJIPTcM439SZ4tfKBBxYgy4HOge7mzcXYWiRcCZ/znTvzuCn3qn4bPeh0GlJT4zh8uAGbzUVy\nchwtLR4kqV1MDxYEIeKJzsFCOOnaOTgvM2/MOwf3p6HBhcPh5aqrcvjss1ZiY1UYDFpsNtegZnsF\nL5pXV0uAQnq6YcCZYj1nh+3bV9e5kkFLi9xt7dhQEDWuwoShKAouVwVebz1m8xLU6vGf7iFMPJLk\n6Vx3NTFRx1tvrcBs1mO1Smza8k8cls9QORJY/+CNaLXqfmtQura3LytrZO7cFFJTDd3qa4fSMEro\nIGpcR07kZmEkOnJzOV5vw7ncbAj1IQkTnEN2sL92PzmWHC5MDm0pmSR52LBhL253O2q1iiNHbDgc\n7d0+T5yPLPuoqXGyfftRJMk7YG+Onv04HnhgAbfe+navzzBjTdS4ChNa987Bl4juhMK4qaho7vNq\npSq+DUfCcbT2TCabJvPaa2U4HL0TSnAw6nDIVFdLpKcbmTs3hZUr53brFCjLPp56ah9nzjjJzIxn\n3bqlYzZ4lSR44gmYPx9uv31MdiEIwgQQCPhwOktQFL/oHCyEhVB1Du6LLPvYurUEt7udI0camTHD\ngiwHuOSSySgKSFL7oAaROp2GGTMSeOyxpeedKdbXjLKf/ORmjh51cPPN8aLGVegQjnP7R0uoY/P7\nPdjte1CpNJjNS0ctMYY6rrEkYhu5YP3q5MnxGAwaWls9JCbqmDkzkWp7NeXNn7Lpe7fx4x9cz+23\nz8Xh8HZr3BR8js2bi3n66WIefPAffPppI++/f5qkJD3z56cCdK7harU6+L//e5ejRxvZseM0NTXO\nUY8pEIBf/hJmzoSmJrjmmlHfRb+i+TUphK9oft2FOja/34Mk7UGl0mI2LxG5eRBEbGPrdOtpSutL\nKZhcMKqD1uHGFpy2q9NpaGvzolbHAAoul4/UVMOQGzIGGzYNdgk/v1/DunVw7bU61OqUPgetosZV\nEEaR6BwshELPab3z5iWjKCqefPJiauXPqXPWsSx7GfHaeEjo2L6v7sBWq4Pqaom4OA12u5dLLsnC\n5Wpn5cp5yLKP9ev30NrqYcoUM7fcMqvLESjnvkbPnj3w3e+CVgt//jMUFIzq0wuCMIGIzsFCOAmH\nzsF9CdannjnjoKnJQ0lJPYmJcfzgB/nMmJEwpiVBb7/dkfOXLoVPPoHMzDHb1ZCIGlchanm9NpzO\nEozGeeh0oZ3uIQxOtNRoBtdXBdi508oll0zG6ZK56d+MpKTHUjC5AK1a2+0xkuShsrKZWbM62s3L\nso+NG/fx3nunCAQgLk7NRRelkppqYPXqXNat28Xvf38MjSaGtLQ4Nm26lF27ajh71s3kyUYee2x0\npgrX1sLatbBzJ2zaBN/6FqiiqCJU1LiOnMjNwlB4vQ04naUYjReh04XJp2FhwvIH/JTUldAeaCc/\nM79Xbg41SfLw8MMfsWfPGeLiNGRlxfPkk5cyZ07ymOzv1KmOAWtVFWzbBldfPSa7OS9R4ypMKKJz\ncOTp2RCgv8YBkSB4ldRmc2Gx6Nh7wIor4SSav07lZ4/e3isxButYusbe0OBCkrxcddUU6utdrFmT\nh8mkIzU1DqvVwe7dZ2hra6e93U9rq4dHH93FdddN49FHF5OaGjfiCwAeD2zZ0vF1331QWQnx8aPx\n2xEEYaJyuz/H7T6OybSY2NjEUB+OMMF5fB4O1B4IeefgvgQv5MuyH61WTUKCjkOH6qisbKa+/m/8\n6U8r8Hj83fL8SC7+yzI8+2zH1w9+AH/4A+h0YxHZyITPGZrgwmFu/1gZz9gURaGtrRy3+zMslovH\ndNAqztno6tmCPVjnOdr6iy1YkzqYddHOJ9jcYO3aJTy9dSmpuWe5NG8WRmkaTY1yr+37ij04+G1r\naycnx8T06QmdtSmy7EdRwGhUo1KBwaA5121wH6DqXOd1oLXa+qMo8OabMGcOHDwIxcXw1FOhH7RG\n89+bEL6i+XU33rnZ6TyKx3MKi6VoTAet4pxFpvGOTZIldlfvZlL8JBZlLBrTQetQY5NlH48/voeH\nH97Jiy+W4vH4cDq9uN0KDkc7e/fWsWbNzm55vuf6q0PJ/e+/DwsWwN69HXl/3brBD1pFjasgDJPo\nHBzZggO1nnWe42Es7vbqdBp0iR4aHOXMTptFoNXcb1x9xd7fWrGy7OONNyrR6WJISzMQExODosDZ\nsy5mztShKEqvQfBg13k9ehRWr4b6enj5ZbjqqhH9CgRBEETnYCHsNLQ1UFpXGhadg/ty4kQr27eX\n4/X6aGvz4fcH8HgC3baxWh1Mn57QmeeHk/vPnIE1azoGrM89BzfeOJZRjQ5R4ypEBb/fg8NRjFpt\nIj5+Aaowmu4hDJ4s+87bqn0sBGtSLRYddrvMmjUFgx7s9afaXk1lYyV5GXnEqy2dcQF9TuXpK/a+\npv1YrRI/27KH5DgHf/hrC552NfHxWrKzTTz5ZBHTpycMeRDe3Aw/+hH8/vewfj3cfz9oJshlTVHj\nOnIiNwv9CeZmjcaC0XiRyM1CyJ1uPU1VUxX5mfkkxYVfKZks+3j77c9YteofOJ3tuFw++np7ve7L\nU5g5XUtiahJrHy0EGHTu9/k66lefeKKjFGjdOjCE2fLJosZViFqiO2H0CLZgH2+jebdXURQqGyu7\ndw4GsrJMA97Z7Rl7cNFxr9dPaqqhc9u0ZDVfSfsj7Y5GEhepeOPzmyivcuD3B/jd7ypZt25pn3dq\n++LzwUsvwYYN8LWvQXk5pKQMO3RBEIROIjcL4SRcOwd3vUANHYPP+nonGo2a2FgfMTHg93d/THy8\nhufvrkBus9PkTkRuW4g5yTSo3L93LzzwACQnw+7dMGtWn5uFLXHpK0yIuoXh8XobkKS9GI2zxz0x\ninMWmfqKLTgtd82aghFNE/YH/ByqO0Szu5minKLOQWtQ11pWm83FkSMNfdahdNS37OWDD6o5erQR\nm83VWfOr8zVzSYGB/GUzmX+hhoUXqsjMjOeaa6ZSXl6MzeYe1FptH34IubkdDRh27IAXXgjvQWs0\nvyaF8BXNr7uxzc1nz+XmOSI3jyIR2/D4A34OnjlIq6eVopyicR+0DtRbI1iXunHjPoqL67DZXKSl\nGfnyl3NISzOi7dHkuKgoncO7riZV38Kq51P47rMxrLj5/yFJngFzf2Mj3HsvfP3r8IMf+PnVrySm\nTRt5T4/xfk2KgasQsdzuUzidhzGZCsRyN8KIDXZh7v7IPpk91j3EqGIozC7s7BzctelT8M5uU5Ob\nsrJGfv3rcjZvLkaSPN0aQwU7CSYk6GhtldFq1ZjNsR3baJLQGJNJMsoUXDKHf394OV/96nRk2Y/J\npO28W9xfs6lTpzoS1913d0wP/uADmD9/+L83QRCErtzuz3E6j2AyLRbL3Qgh5/F5+Nj6MZoYDUuz\nloZ8uRtZ9nH48Fn++MdKKiqaaGnxoNer+ctfTvLKK59QVtZIU5Ob+HgdRmMser0WlQosFi1z5iTx\n/PPL0VrSOVKTTItdwWJS02JXqKpq6b0zn0yg1corv2hn7tyOJoulpT5OndrPT386vAaOoSZqXIWI\noygKLlcFXm89ZvMS1OrwmO4hTFwO2UFxbTFZ5ixmpszs/Pe+pgYDHDnSwK9/XU5ychxNTW60WjWB\ngNJtm82bi7HZXOfuBhfw4otHvniehxag87dAXCpodL3qY/var8+nYdOmjjurq1fDQw9B3Pj1vwpb\nosZ15ERuFiDY1b+M9nbbudwcZkVzwoQjyRLFtcXkWHK4MPnCUB8Osuzjscf+yS9+8Ql+f4C0NAM3\n3ngB7713mpYWD7NnJzFvXgp33jkPjSaGG29881yDpnauuWYqs2cnExsbgyR5idOp2PNxNXaHQmKS\nnrfeWoHZrP9iZz6Z0tdf48GfLAeVhhf/J42F+dox6ekxFkSNqxAVROdgIdzY2myU1JUwN20uWeas\nbj/rOjVYapFoPn2cjOnTWbAgjb/+9SQ1NQ7i47V4vX6Sk+NoafFQU+NEq41h9epcJKm9c03Wbt0C\nmwNkZX2xr571sV23b2728PLL7Tz9tIaiIjh8GLKzx+3XIwjCBCA6BwvhJqw6B/tkcDVgPaPlL385\nicfjQ6WKoanJxbvvfk5jo4tAQKG+vo3581MxGGKpr3eSnm7A51PQaFSsWVNAerqRbdtKOwedL/zi\nq7S1eZk5M7HboNVuh/WPePnd777Jd276kIf/ZScJM38AZIV0BYfRIKYKhwlRt3B+fr8Hu/1jVCoN\nZvPSkCdGcc4i02jGVm2vprS+lPzM/F6DVvii6ZPT7uAraX8ktfrncGAz+OXOLoFGo4bERD12u4zJ\npGX79qM8/XQxjz++F7O54zUuy34MBg01NY5u04H7iy243+PHY3nzzXx++Us9v/0t/Pa3kTtojebX\npBC+ovl1N5q5WZL2EBOjw2xeInLzGBKxDc6p1lMcrj9MweSCsBi07vzF/XBoC3z6EiZTLDExMfh8\nAdraApw+bae9PYDb7cfvVygtPcvdd/+Nxx7bhcGgYeHCNK6/fjoFBelkZ5s6Py8kJuqZMcNCQUFG\n56BVUTry/OzZ0Nqm48Ipv+Sdj4/yL4+nIbVbgNHr6REk1nEVhD6I7oRCOOmvc3BPwQRxovRTYo94\nkZVUNJ4WmqzVOBxesrJM2O0yq1YtQqfT4PH4+NnPDnH0aCOtrTKy3NEGX5JkTp2SmDEjAdUgJrXa\n7RpOnVrKjh2wYYPCv/2bCrV6lH8JgiBMeB25eT96/VSRm4WQUxSFcls5Z9vOhk/nYFcDeB2gm0K2\nuZmvXJ1PcrKBffvOoNXG0NgoEwj4UalgzpxEqqpaiY2NwWCIZfr0RB58cCHz56d2DjD7W9/94489\nPP64gdbWGP74R4iJaeT++yxY0hNocSpUfeakIKljZlaoVnAYDaLGVQh7Xm8DTmcpRuM80YRJCDl/\nwE9pfSmyT6ZgcsF5Gz3YbG0ULf0f7pz3DmlmD7fesYzYZY+w+ZkjvZbFkWUfa9f+kx07TpGUpMfh\nkDlzpg21OoZAQOHrX78QWfbz6KNLmDEjsde+vF747/+G//ovWLkSfvhDSEgYq99EdBA1riMncvPE\n5PWexek8jNF4kWjCJIScP+CnpK6E9kA7BZkFxKrDZLq6T+6YaeVpAX0i8vyHqDzh4M473+Xzz+20\ntbVjNGppb/eTkhJHS4sbrVaDXq/mjjvmsX79sgHvijY3+1ixop6DB9O4/PIa/vCHHIxGDZLkYcWK\nt2hpkUlM1PWugQ1zosZViEhu9ync7mOYTAXExobfQtHCxCL7ZIprizFqjRRmFxKj6qi26LoOW88E\ns3fvGZolhV99eh16Wsj4169xvcHY73prRqMGnU6Nw9EOqIiNVeP3B1CpYM+eM+j1Gl57rYyHHsrH\nbvd27vPdd+H734dp02DXrshbm00QhMjhdn+O230ck2kxsbG9L6IJwnjy+DwU1xZj0prIy8zrzM1h\nQaODgrXgtnU0VPSr+dOfPmPx4kxiYlQoCrjdPqxWB5Lkxe0OkJlpIC5Ow7e+NbffQauiwJ//DKtW\nxWA0anjggcMEAk5aWlIxGk2YzR0Nm6qqWnrVwEayMDqzE5uoW+gu2J3Q4zmJxXJxWA5axTmLTMON\nzSE72F29mzRjGrkZud0GrRs37mPDhj1s3LgPWfZ1W4qmsDCT+HgtLQ5wKJMoKJwCdEzVCTZe6roM\njsvl4/rrp7NoURqXXJJFVlY8kyebuPnmL7FwYSpXXZVDS4uHxx/fx5YtB3n44U+4/voA3/se3HHH\nTt55JzoHrdH8mhTCVzS/7oabm53Oo3g8p7BYisJy0CrOWWQabmySLLG7ejcZ8RksylgUXoPWc3bu\n3gumLNDoOpsnZmQYWbZsMs8+ezn//u+LiI+PRadTo1KBWq1Cr1ej0/Udy+efw403wtq18PLLCrfd\ndpJAwNmr2ZLZrO9WAzsmsYkaV2GiE52DhfE00N3SoIE6B1utDt577xSKAmVljXzjG7P4wx+OdZsG\nXFz8Lfbvr2fJknRSU42d++25ZE3Xbn/TpllYvToXm80NqEhN1bN1awktLR60WjWtrX4OH76AsrIM\n1qzx8tZbevbsYVA1sIIgCEMlOgcL4SasOgcPUtc8n5SkZ8eO05w+3YpaHUN8fCx6vZr8/ElMnWrp\nVYcqy/CTn8BPf9qxpN0f/wharZorruh7Blc0EjWuQljx+z04HMWo1Sbi4xegCsMrZ0L06Gvw2PNN\nv9peTWVjJXkZeSQbkns9x4kTLdx++zsoioJKpeInP7mUP/7xeL9rpEmSh4qKZuLjtbzyyifdtktN\njeOzz1qoq2sjPT2eCy5I6HY8suzj7Fk3b72l5eGHA8TH1zBrVhnvvvvlqJkGNN5EjevIidwc/Tpy\n8340mgSMxotEbhZC7lTrKY41HSM/M5+kuPCblTcQWfZRU+Pg1Ck7jzyyi7o6J+3tfq68cgo/+cll\ndFys7j4I3bEDVq3qmFH1s5/B1KkhO/xxIWpchbAnOgcL463X+qg2d+cgs2vn4IG6E2Znm7jyymxO\nnrQzfbqF+fNT+eADKzabC61W3bmkDdCtWYLFomPZsszOtvY6XQxr1/6T3btrqK11kpVl4rrrprFu\n3dLO5FVSouG73zWhKD5uuukIWVlttLfHI0ntYuAqCMKY8Pns53LzNAyGC0J9OMIE1HVmlFarDknn\n4MHMzhoMRfbiq23kN9s/4+RpBzU1DgIBhdhYNXq9GlB1u9hdWwtr1sD+/fDcc3DDDYPbT/Ai+ezZ\nSVH1+UBcMgsTE71uwettQJL2YjTOjphB60Q/Z5Gqa2zBKTvBwWOwNsQf8HOo7hDN7maKcoqGlBh1\nOg2rV+ei02nwev1s3VrSWcNaUdHcOWi122WuvnoK3/zmbB54YAGbNhXz3nufU1XVjN0uU1PjwGqV\nsNnc1NbC7bfDv/4rfO97sHs3zJvnQ1EUUlMNncc9Uc6bIIyXaH7dDS43n0WS9mE0zo2YQetEP2eR\nqr/YgjOjtmw5yH9t2sue0/uwy3YuyblkVAetXXtTDHQMTz21jxMnWvrcrj/B2DySi6NPbKf8mTc4\n88FhJqcbyM42kZZmYPJkE9nZ5s587vN1TAlesAAuuADKymD58v6PseuxlpfbuPHGN7n//h2sWPEW\nkuQZ2i9jCESNqzDhiM7BQqgE11ntWhvSX+fg/litDj74oBpFgVOn7Nx990VotR2dgJOT47rdyZ09\nO4nERB0tLTImUyxvvnn83HGocbvbMZt1+P0O1GoVgYCC0RjHL39p4Lnn4L77oLIS4uMBeh83gNfr\nx2qVRnxFWBAEQXQOFsJBcGaU0QJljkMU2gu4Zv75c/NgSZKHI0dsvPvu57jdvj7LhjqPwRjLjh2n\nOXOmjZwcU5/lRf2RZR+bHv+Yun9KWMxa4pFxNrXx5S9P45vfnIVWqyErKx6dTsPHH8ODD0JqKnz8\nMcycObjSpuA25eVNVFW18KUvJdLSIlNV1UJBQcao/L5CTXyyCROXX355qA9hzPQXm6IouFzleL1n\nsVguRq0Og4Wih2AinrNo0DO2rgtxO2QHxbXFZJmzmJkyc1DPJ8t+ZDmARqNCrY4BVN2aLwTv5Mqy\nD7vdy+9/fwPHjrXwv/9bwe7dtSQk6JgzJ5m4uFhyc9NQqWD6dAt2+xT+8pd5LFoUQ3ExTJ/efb89\nFxCXZR/79sXx7rsH+01qkSyaX5NC+Irm191AubmtrYz2dhsWSxFqtWF8D2yEJuI5iwb9xZaWZiAu\nwU+F8zBZphwun7VkxIPW4LRfvV7Nrbe+zdmzLiTJy7e+NbtX2VDwGBIT9VRXS4BCerqhz+0Gis1q\nlWiVISFBR2urzL9dZSHt3qWkZVk6c7XN1tEp+O9/hy1b4JZbvmi4OFBpUzCmw4cbsNlcTJtm5uOP\nVTQ1uZk0ycDMmWN34Wm8X5PR86lGiCiic7AQbgbqHNwfWfbxxhuVxMaq8PkCXH31FFJT9TQ0uFi9\nOvdc7WksVquD7dvLcDi8JCbque222YCqM4HFxcWyfv1SJKmdkyfVPPSQGqczlldeieHqqwd3/OdL\naoIgCOcjOgcL4cbua2bZLe3cHHMj86fOGPEF2a53Ltva2mlu9pCcHEdTk4fTpyVmz07utqQMfDE7\nq6bGyfbtR5Ekb6+lZ87HYtGi1mpou+ACMowxzH30YvTmjotCgQC88gr853/Ct74FFRVgNnd/fF8X\nxLvGtHHjPk6fljh1SuKii1JYuXIu118/nYsuSomqGlcxcA0TO3fujNoraT1j+6JzsBkwwXVUAAAg\nAElEQVSTKS9iuxNOpHMWTfqKLdg5OD8zv8/Owf1paOi4SnvNNVOprXVy9dVTeOaZg50D1NWrc9m6\ntYSTJ1s5csTGsmWZnD3bRl1dG4mJeubNS0GrVbN+/VJ8Pj0bN2rZvt1PQcFJrruuiUsuWcxg36bT\n0gy0tpYDc4acUCNBNL8mhfAVza+7vnNz5HcOnkjnLJr0FVuwc/C85IWc/bxjgDbSgWvXi7yy7MNo\n1OJweJk1K4kf/nAZM2ZY+tyHTqdhxowEHnts6aCXngne2f3kk30cOhSP1+tHb9Dxgx8uRX9uMFlS\nAg88ABpNR+fgBQv6fq6+SpuCui7LpygKt946i4KC9HGZdTXer0kxcBXGlegcLIQTRVGoaKyg3lk/\nrO6EwSug9fVOjh1r5n/+5yjHj7dy5WVpOM58xielaZw920ZZWRPHj7dSU+PAaNR2NlVavTqf9PR4\nXntNw4YNcO21Pr797f2kp8dgt8tDumuq02n45jdnM2dOwYRYy00QhNEjOgcL4URRFMpt5TS0NXBR\nQh7f+tcdtLTIJCbqeOutFSO6g9g1b/t8Ctu3X0dzs4eZMxMH9bw9y3R6Cg5WLRZt59rrtbVlTJp0\nEcnJcdjtMpLUTiCg54c/hD/8ATZuhDvvhJjzXCvqa9+y7KOuzkkg0DGtOCYmhoyM+Kj9DCDWcRXG\njdfbgNNZitE4D50uMhaKFqKXP+CntL4U2SdTMLkArVo7rOex2dr43vc+oKyskYQEPT7Zzbcu/AuJ\ncS4S0jP48V8v5vhJF+3tATIz44mJieG666ahKArLli3lyScNJCV1rMs2c+b5my8Io0us4zpyIjdH\nNq/3LE7nYYzG+eh00dHARYhc/oCfkroS2gPtFGQWUHLQxv337+jsxv/SS8uH1Gior2VhbLY2Vqz4\nE21tXpKS9CMeDAd1nYasVquQZf+5achudDoNfn+AhAQ9U6Ys4bHH1NxwQ8egNXnwE7363J/N5uLT\nT21Mm2YhO9vcbRm9SCXWcRVCSnQOFsJJsHNwvDZ+UJ2D+32ec0mjrKwJSWpHpVJx9ZJYZiQFUMel\nU199Br3SjMEQT3t7gLi4WBISdDQ1xXLw4CzefDOOZ5+Ff/mXYAOG/qcCCYIgjLaOzsEnROdgISx4\nfB6Ka4sx68zkZeYRo4rp1o0/MVE3pEZD3ddO1/LCC1czY0YiJ0/acbnaSUjQj2rX3a7TkJua3Gi1\naux2+dwMq1wOHvSzYUMcDkcM//u/PqZNcxEfb2Aww7G+1pEN7i85OY6LLkpl5cq5zJ+fGtWfHSKz\ngCEKRevaXIqi8O67v8Lj+RyL5eKoGrRG6zmD6IutY8Hvsyiyl3fee4dd1buYFD+JRRmLRtSdsKHB\nhSz7SUrSYzZrWbw4g7UbvoLWnErAY8fpiyfWnE5KioEbbpjBq69+hSVLvs6f/3wxX/96IhUVKr72\ntS+6BsIXU4GGk3ii7bx1Fc2xCeErWl93X+Tm0+dyc/QMWqP1nEF0x/bX9/7K7urdZMRnsDB9YWdu\nNps77oi+9NLyId8ZDa6dbjJpqapq4Ykn9rF5czHTp1tITNSdW8N9aIPhvgTXgLVYtJ1rw6emGvjR\njwpZs6aAhQvdbNyo59ZbjXz96zHs2uVj586OdWE3by4+75qwXdeR7bp917XoU1MNIRm0inVchagR\n7Bzs97tEd0Jh3AWvTqZaNLhe+j2BFgfNCQpH01x8a+lKJpsHP12965VOoPP/09IMpKYamDcvBZ1O\nw/r1SzGb9eTd/wwVJVXUvi8x2wSxsWrmzbuYm2/WUlQEn3wC2dnqsQpdEAShX8HOwX6/G4vlYpGb\nhZBraGugzFbGtwu/TaYps9fPzWb9sO6IBu/Wnj3rQqNRMXWqmZYWD7Ic4K23VlBV1dKttrWvu5rQ\n93TjoJ7rqwZXFEhNjUMb4+f9t2Xu/0EM11wDn34K6elgtQ5tFYCu68hWV0vU1DiZMSNhwIZN0UrU\nuApjomvn4Pj4+RHbnVCIHD0Hl5s3F2NvdDLd18zXjNU0JNupcjZy2d0/IG364NZoDT5vMCmZzVoU\nhc6uwWvXLgboljR6bp+bu4DNm+PxeFQ89xwUFQ0tlomQiEJJ1LiOnMjNkSNaOgcL0SPYOTg/M5+k\nuKHNyhtMrpQkD59+2sg775zE5fL12z+i5wA0uE3X6cY9m0MF1059/fVyLBYd9fVtPProko7pyMdk\n/uPOak7Wmnnh4b9zxf23gkY34L4GivOpp/axY8dpQGH58qk89ljk17EORNS4CuNGdA4WxlvPJHDb\nbbOxNzop/GwfaqmRkws+pNWr4nLLFFLSe1/NDT5HXwmwa81KTY0DgClZOmg5Sc0eAxqdnknzcjoT\n3M6dVurrnRiNCfy//5fFiy8a2bhRxV13gXoQN1mHmtAEQRAGQ3QOFsJJ187Bw+nqP9hcaTbrufji\nLPLz0we8M9nfWugHDtRTU+MgLc3YWQ87f34qVquDX/+6DJvNRUlJA35/AI1GzauvlhMbu5Rt/63h\n4a9V8uZ/HUYbaAb3lWD6Yo34226bjUqlIivr/B2AdToNK1fO5cyZNtLTDUiSd8Ku1S4utYWJaKlb\n8HobkKS9GI1zOget0RJbT9EaF0RebD0TjkqlIkPnIyDZqc5qREqES2YWkrJoGh/t/Fuvx/dXPwLd\na0gmT44nO1NLQfurfFPeSuzLt1Nz73re/cbTNNS2sGLFW6xbt4ff/jae//7vhZhM8OmnAe69d3CD\nVuhYj626WsJojO1MnoPV9bwFa27OVzsTKSLtNSlEh2h53Xm9Z5GkfRiN8zoHrdESW0/RGhdET2z+\ngJ+DZw4iyRJFOUUYtcYhx9bXQHMg5+sf0TXXB9dClyQPjz++hzNn2jhypAGTKZapU81s3lzMpk37\n+dvfPj/XnFHG4/GTk3MRL764iP37Axwq9rH2rlK0gWZ2lrdCXCrwxeeNbdtK+c1vys8bZzCXp6XF\nkZNjoq2tPazWahc1rkLEEp2DhVAJJpzgldesrHi+82gh7z77PsqnapLrEjmqbyI/cx6oLN0eG5zq\nY7O5SE6O61Vv0rOGRGk6ifsX1ficbgK0EWfwoG5u5tA/jnPqVDJWaz4qlcTy5R/z298WYjYP/m1W\nln1s315GWVkTZWWNLF8+dVjJSdy1FQQhSHQOFsJJX52Dh6Nn3h8wV/pkcDWAIQ00un77VgRzvU4X\nw+HDDTidXiSpnYUL07DZ3Pznfy7l5Ek7NpuL9HQjJSUNOJ0ezOZkjh9fyOnTadx442leffVL6HQ6\nmLIW3DYIlHdOE+7vzm5QX2VPfdXPTtScLmpchRFTFAWXqxyvtwGzeQlqtSHUhyRMQLLs6xxcenGz\nv3Y/is3I1lVHcGk0mOJc/PTntzDjwvRujwmugVZW1sisWUnExcXyox8V9tu5sO3E51ifvp1Y51m0\nbQEqSubwacYVvBO/ij17PWi1H5GYWMf110/lsccKhzSVx2qV2LLlIEZj7LlamaXMmJEw5N9F7+fp\nqLkRehM1riMncnN4UhSFtrYy2tsbMZsX/3/2zjy8jfLa/5/RNlosyfIe20nIRvYEktjZIVAClBZK\nS1solJTCr5QtkJK2aZOWAC20gbK0vSG0pZSl3N7c3pa1JSQkuBDIirPve2zHi2zLkmxJo21+f8hS\nZFveEi+yMp/nyRPLkkfvsWZ85rznnO9RfLNCv+OSXGyt2MpQ61BGZZ5/K1m83283kAtKsG0F+Byg\ntyFN+iErntmJw+HDbNYhCOByndWtkKRgrKfVbNY2Px/AahUpLs6jpsbDyZNOJk7MxmgU2bQpj23b\nhlJUVMWqVRZGjuy49LejjeVEbU8rV+6IzbBdvLjogikPVnpcFXqFiDrhDmQ5qCgHK/QL8buThYVm\n7E12SitLmZAzgQavSFX4MOqQCp/XAOqWwWj8DLQxYzIIhWT8/hDPP1/abpayTrCw+dBsBEcFNW4b\nLzQtoHL3JC6//Az79mWwYoWIIAzFaNRisbS8HjoTkojfQR4yxEJhYdo5/U5ycoxYLDrWrDlBMBjm\n5Zf38Mgjsy7YHVoFhQuNqHKwLIcV5WCFpKCmqYYdlTuYmDsxoXJwV2jtQ6PlvwmJZllDUiRoFa3g\nc1BzuqyVbkWkzzSa/ayocDfPfY0Ei88+O4+0NB0ajYr77vsQWZaRZRg7dhIvvJBNXp7M2rUeiovz\nu+RjO1ICbtv2RNezyhcISo9rkjAQ+xZCIR8u12cIghaLZXq7jnEg2tYVUtUuGDi2te5NPVxzjB1V\nOygqKMJMJr/97XacTgmvN8gVVwymsDCthW3xPS0GgxadTt2iXDjR+/llFUdnXMMz7rtYWv5rHGEr\nCxZsY/Dgg8hyiKefvgyTSYckRQLgaI9pR320UaIObfHiom6V90Z7YNauXR87zje/OYZAIIxarWLD\nhtMxYamBykA5JxVSi4F43kV886eoVCIWS7Him1OIgWrbyYaT7KzaSVFBUbtBa2e2dcWHxohmWT9/\nFva/DjozSE7Q28gZMjjm9/Pz0ygoMLXoa42O0InOeJ06NZeiokGYzTpAJhAQOXFiJo8/nsXy5QLr\n1qmYO7fjLGtJSUkL3Yn2+m2jm87l5W4sFh2FheZzuifoS5QeV4UBgaIcrJAMRHcnLVYdR50H2XGy\nni9fcgUaWeQHP9nAX/6yH5ARRRWzZrWdARe/82mxaHn++dJ2dzajTnPfPh0bNxaRkSFy8cXrqa09\nzurVAS6+OJNXX93HggXjCYflNv2ynfW1xK+pO6VA8aVFDQ0HuPzyy5t3otWIooZICafQ/E9BQSGV\niSoHGwzDMRhG9PdyFC5wzlc5OJ6u+lAgkmmNZlklJ1zyQKTH1JCNqBFZsqSYmnInGYKEOiudWlco\nlv0URQ2rV1/Pli2VTJ8+KNY2lJ9vJiNjBhs2DOaSS2p5990wWVldy//5/aEu605Euy6i/3f3niDV\nUQLXJGHevHn9vYQu4/fX0Ni4A5NpIqLYebnHQLKtO6SqXTBwbMvJMWJN13LYvQejRcV1E67EpDNS\nVubi1CkXIAMyXm+I55/fwdat1Sxb1nKQarxT6GiQ9+7dXv72t+FUVNiYNeso996rY/nyagYNMnH6\ntIuJE7Nwu/0IgpCwtKdbQhJ0fZZrvDOHcTFnPniwmfnzh3LmTCP5+WnnXHacLAyUc1IhtRhI553f\nX01j405MpkmIYtuNutYMJNu6Q6raBQPLtlA4RGllKR7Jx1D1JDSy2OHrO7OtWz7UmAN6W6yvFXNh\nTBwJQEcY05vv4HW4UdnMFCy8DSGuz3TVql04HD5KS2tYsqSYvXs13HuvBo1mBO+84+Gyy3Jjftnl\n8nHgQD1jx2a0q40xdmwR77+/vdOgu6bGg9vtp7DQjNMpDYiRN319TnYYuAqC8Dvgp7IsNzV/3S6y\nLD/YoytTSErOKgcr6oQKSYA6xNzbQsxonMjlY4ox6HVIUhBJCjFmTAaffFKOJIUQBAGHw8e6daf4\nzncmtCt4lGhn0+eDZ5+FZ59NY9w4J1deuZncXC1Tp07A6fTjdvuRZQGdThVTNE4UAHfU19Ka7qgC\nx5cWFRSkxZy5KGpYtmxGl95PYWCh+GaF1pxVDp6OVtt9QTcFhZ4kqhysF4x89LqAs2FX1xTuW6n/\nxtMdH4pGhKJmRV9DdptjhWodhB1uVNY0wg43oboGNPk5QMvN4MrKIHffHeaDD+DXv4YFCwRUKlOs\n7FevV3Pzze/icETKit9668aEwWtHQXf8JnV3N7gvRDq7k5kIaOO+bg9FTvA8KSkpSeqdtHjlYKt1\nTofqhLLkJ1TrQJ1lQxB1SW/buZKqdkHf29b6nOkKbsnNloot5JnysYqFqARVi4DPYtGxfv032bat\nipdf3otGowJkNm/+hBEjru98TTK89RYsXgyTJ8PWrQIFBXnY7Vaysw3U1Hj44hcvIhCQUalk7rpr\nEpMmZcec6fmUAXerJAoIBMI0NQU4evRzYEa3328gkMrX2zmg+OY+ItnPu3jlYKt1dreUg5PdtnMl\nVe2CgWFbvHKw3pOLs6HzTCNAyfq1zDNuxlXr4EB1JmO/9hCWjJav7ZZP04iRTGsC1Fk2VDZzJHi1\nmVFnnt3syckxkp6uZ9OmdD79dCS33KJh/37IaJ7yGH+f0dQUoL7eR3q6HodD4tAhB0VFbasdNm3a\nyJIlc2JtSe2Nu1mypLjrwXmS0NfnZIe/EVmWr0j0NYAgCBpAL8tyYy+tTSFJ6I5ysCz5cfz+jdgf\nA9vC2/pwpQoDkUTnTGfBa1Q5eFT6GP76QgUOR1VMOj4a8DmdEoMGmbnrrhyqqz1UVDRRUGAiO1vq\ndE379sFDD0FVFfzxj3DVVVEBpLMCRzk5RvLy0mIOJz5oPV+6s+taVubmo4/KkGUZl6uG8vLGcxqh\n0108bj/lR9wUjjJjNHdts0GhZ1B8swJEffPnyLKsKAcrJAWtlYOltGDXM4i+BlweBzc+moPDKWN7\n/Z+89e7NWIxCu1nYc0UQddgW3kaorgF1ZnqLe46jRzV8+OFMnM4w778vM2dOyz7W6MayyaSlrs6D\nwaDF6ZSwWnWYTJqY+FJrRFFDdrahzbibRJvUqbLh3Bt0epclCMIXgExZlv837ns/AR4FNIIgfAjc\nIstyQ6+t8gIgWXfQQiEfbvdWNBorJtNUhE4GRScqv0hW286XVLUL+ta2jkp2EnGq4RSH6g5RVFBE\nU60Gh+NYh9Lxoqhh8eJpHDzoYMwYW7s9KAD19bB8OaxeDY88AvfcAxpNpIflkUc+ZdOmM4DAzJmD\nePzx2b22M9peSVT7fa+RxJrVOpa+SLJ53H5W3VOK3xVGZ1Fx74tTej14TeXr7VxQfHPfkKznXcQ3\nb0GjsWEyTejUNyciWW07X1LVLkhu2042nORw3WGKCorIMETSk90p7513zVfY8sphHE4Zq1mNwylz\naF8NRbxytle1aEkkeE1UUtxBmXEiBFGHJj8n4lfLXBiNRlas0PCXv8Cjjwrcc48atbrtz+XkGDGb\ndaxbdwqQueyyQq69dhhr1pzg2Wc/p6AgjaVLI5VPUX8d/dzajrtJrIkxkEiqHtdmfgK8H30gCEIx\n8CTwZ+AA8CNgWfP/CinEuSgHd1R+oaCQiK6eM7Isc6D2AFWNVTF1QlNOy93cqHR8vJOUpGALteBE\nPTbBIPzpT/Doo3DTTbB/P2RlRZ6TpCCPP76JdetO0dAgATLr1vlRq1UsXz6zWbW354kviXK5fOza\nZWfNmhN4PMEWdgwebObqqy+KZZT7Yqe2/Ig7ErSmqfG7QlQca2TUJRm9/r4KLVB88wWKohyskEzE\nKwfPGTIHo7a5XL05kBSNOV3zSxqRsV97CNvr/4xkXDP0jB4cgCNnZ7DGela3rWgZzELb73UQvEYF\nlYYPt/LCC7vYts3Mxo0X86Uvqdi7V0VubvvLFEUNCxaM58yZJvLyjDQ1BdBo1Hz8cTmyDPv21XLL\nLWP4+98Pt7nvaF1N1Z4mhkL7dOU3NJGIg4zyDeAzWZa/ByAIQhnwSxTneF4kW99Cd5WDoyQqv0g2\n23qKVLUL+ta2jkp2okTVCQPhAHOGzEGnjrwm0W6uJAVjwaQkBdm5swa73RMbT/POO2v5xjeui7M1\nUhackQHr1sGkSS3fu6bGgySFyMoyNM92lcnKMuD1Bnj88c2EQmFsNj2LFk3B6fR3qAIcnzGNHrsz\n1WCXy8eNN75FdbUHl0vi298e16KkSBQ1LF0aEWHav39rnzi+wlFmdBYVflcInUVFwYjeVyxO5evt\nHFF8cx+QbOddd5WDOyLZbOspUtUuSD7bguEgOyp3EAwHmTNkDlp1c7l6dI5qFwNJOGvbW+/ezKFD\nDkaPtkXKhMvi1IEN2S1H3USDWVlu+71W/a1R/xsvqATp1NXNxuczMn/+PlasGEVubudB9uDBZoYM\nMWO3e9Dp1IiiCr8/hEqlIhgMs2tX4vuO9jLQA7k0OKl6XJtJB2riHs8G/h33eBtQ0JOLUuhfzlc5\nOFp+oXCB042ynY7OGSkosbViK2m6NKbmT0XVqiQuPjPZWpxJlsHh8LFvXy3jx2eRnW3Eao0EtScO\n+fnR4jDb94j85hmBm24CIcGo05wcI9nZRiZMyGLoUDPhsIzFImIwaJGkIJmZBux2T6dBbKK1ud3+\nTpUWDxyox+GQyMw0UF/v4+RJF2PHZrYoKYr+Do4eTVDX1AsYzTrufXEKFccaKRiRpvS49g+Kb77A\nUJSDFZKJqHKwRbS09c2Jgst2hJJaY7HoWwoctVYHbj3qxpANgKyxEK47gyp9EELz96K0FlSqrQ3g\nck2hvHwUU6eeZvr0PWRliV0u1RVFDYsWTeHxxzfjdvt54IH1SFIIu92NIMDTT2/DbBaZOLHlfUf0\nZwdyoNrfCJ2VuQmCcAL4rizLJYIgiEAD8GVZltc3Pz8RKJFlObPXFysIcm+V5Sm0VA62WKZ3S51Q\nQaEF57Dbmgi35GbL6U8YojNxccGMTo9x9KiDX/96C3l5JqqqmoDITmZdnZcFC8YzaVI2waCGXz8R\nYuVvA3x/2g4euPYI+Q/f0qEglMvlY/nyT/nss2iPaz7Llk2PzXpTqQT8/hCZmQbq6rzodGrCYblF\nUFpW5uLZZyPqiuXl7tjanE6JxYuLKCw0J+xhjWZcHY6I+MOqVfMZPjxdKSnqIQRBQJblBFsWyY3i\nmy8c4pWDI7554PXBKaQW8crBozITtJL10D1AuwSlFsFsROTxFWiogvQ8bAvvaOHT4/3v9u16Pvzw\nYvT6esaN28Xbb38BSQq3qNpqrxoq/rmaGg+//OVmNm4s58QJJ0ajhqamAEajBoNBy5VXDmbhwqk9\nKtx4IdGeb+7Kb/J94Klm0YcbgCbgk7jnJwFHe2SVCv1Gd5SDFRQ65Tx2W6PYm+yUlm9hwpkSCgjB\nmf906PwkKcjrr+9j375a9u2r48orB6NWq3A6JbKzjUycmM0//6lhyRKYPcXPR3f+jcGDIexs7FQQ\nyun043BIBAJhNBoVjY1+JCkcK/mxWLSxPlpRVCNJoViJULSkN9rbYrd7SEvTYTRqcDqlmCBDe7Nb\nLRY9b71149nSqQ7EpRQuKBTffAGgKAcrJButlYMT0skc1fMmbtSNJAWp2H4C7Yl6jAWDkB3eNj49\nJ8eISmXhjTeGUFdn4ZVXYMQIHaNHX93Cp3Y0Qz36nN3uweMJkJWl5513jlJf7yMYDGMwaBAEFVqt\nmmBQJiPDqAStvUBXZOgeAXzAh8CdwPdkWfbHPX8nsK4X1nZBUVJS0m/vHQr5cLk+Q6XSYbFM73HH\n2J+29Sapahf0gG3RUh7J2aKUp6ucajjFjqodFNmGRoLW5gBYclZSVuZCkoKx10YHgZeVuXG5/Hzh\nC0MZPz6LO++cyLJlM1i8uIirry7mqqs0PP00/OhHJfzlNRlLuh+/w9UlETGrVcfJky7OnGmisrKJ\njAw9LpePsjI32dkGLJaIg1u8uIhHHplJdraxRVAKZ0uLdDo1oVAYrVbFAw9MiTnGRLNbo0RLpzoL\nWpVz8oJC8c19QP/75k9RqQxYLMWKb+4iqWoX9L9tJxtOsrNqJ8UFxZFxN83+N94nx4gGl10MWs/F\nNkkKsuKXG3n6x+/w27UOGko+RzAbW/j0QAB+9zsNr746leuvt3L8uIZbbknsU+P9sN3uYdcue8y2\nmhoPdruneTb8Pp566nOqqjykp+vQ6VRkZhqZMiWHq68eyi23jObxx2fFgtb+/tx6k762rdNtAFmW\na4HLBEGwAo2yLIdaveQbgDIvboByLsrBCgqy5CdU60CdZUtcYnuOu61tlINVmlgvS0Bj5TcrT1Lr\nOB7bCQV44onNnDnTSGamHlmWcTolhgwxN5fhanjsMTPvvgu//CV897uwfn2Ip57fidM5nDx9kIV3\nz+t0bqzT6WfixCwmTcqioUHC6w1y110fAALz5w9l2bIZLfpW2lMJdDr9hMMymZkGnM7IPNlo2VF3\nZrf2FB63n6M7G0CA/OFG6qskZS7rAEHxzamNohyskEy0UQ4W1Ej2k6xYWYbDGUio1dBRyW1PUXay\njpNbPyZbW0FTjgHX4MEMufmLMZ/+8cdw331QWAibNgmMGtXxvUh8ZdS+fbW8/vo+1qwxsmjRFCQp\nhFqt4vTpSKuPIEQ0odRqgcmTs/nDH65m2DArLldAUQjuRTrtcU0mlD6anuVclYMVLmwivSRvxMbX\n2Bbe1mngB507sXjl4KL8opbqhF47ZXUiz/52D1arGOsL9fmC3H77vwmFwlRWNnHFFYVkZ5v46U9n\n8vrrep58EhYsgB//OIjff7YvJdrrEt9f2tE648uHVCqBujovBw/WAzBhQhaPPjq7S2IL8ccxm3UI\nArhc/haBeF/J4nvcflb+v1J8RwMIIQhrQJOjQrSp+2Qua7IwUHtckwnFN/csPakcrKBwvgTDQUor\nSwmFQ0zLn4ZWDsO2FZSddvHsPzOwjp6D0x1s4Us7KrntCSQpyLFjDlb+diPbP94HHokrh1fx0DWj\nyf3Bg9Q06Pjxj2HDBnjuOdoVX2zv2Lt22Xn99X0xTYr0dBFBEDAYNFRWNvLqq/sB0GoF/va3L3PV\nVUOVNp4e5nx6XBVSkIhy8JFzVg5WuHAJ1ToiQas1jbDD3Wl/KHTuxDpUDm4uN8rRBdtkJMvK3IBM\nMBgmEAiTnq7n+HEbM2ZoGTUKPvkEhg1r+d6LFk1pN7PZ3jrjJewtFi3PPLOdQ4fqAYH8/DQsFi1l\nZa5Od5bjj+PzBVm5ckeL0uDCQnOfqQ2WH3HjrfFjCepQCyrkgIxbDuB3hWNqweVH3EoGVkGhD/F6\nj+P1HlOUgxWSgqhysFW0MjF/YsQ3u8rA5yAn14rN6MVR14AtN4tsmxq59hghj5Zqv6lN60tP+TaX\ny8eyZZ+wYUMZdbUeRuVqGTEmwHe/lUXWTd9n1Z91LF8Od9wRmclu7uLbxm9aTwjEjh4AACAASURB\nVJ6czb/+pWft2pP4/SE0GjXz5w+lqSnAz342i7vumsRnn53hpptGMWKEcg/dlyiBa5LQV3OQ4pWD\nrdbZfaIcnGxzx3qKVLULOrZNnWVDZTPHMq6t+0MTlREn6t+MOjG35GZLxRaGWIdwcebFzc6jsU0Q\nmGj+2eDBZq6++iJOn3ah0WTyzjuTcbvTeOkl+OIXg9jtHsrKQi3e+4MPNrBkydUJM5sdrVMUNWRn\nG6ip8bB48TQWLBgPCGRn62PCTF3ZWY6WFEtS20D8fOnOOVk4ygxqAZUgEJbDCAKEmsLoB2uw5ehY\ndU8pflcYnUWVFBnYVL7eFJKXvvTNTU17CQTqsFrn9IlycKpeU6lqF/StbfHKwUPShlFR3uyXmzUs\nRJ+DJXfYsA+dTXa2AV3pCnxbNhH2atBqv4LNMg5HK62HjuiKbZIUZOnSjfztbwfx+YKoVFDrz6T4\n4nHYh8/n1iv0GI3w0UcwYULXbU20aX377eOpqGgkK8vAf/5TRlVVE0OGWCgsTGPEiHTmzOm64KRy\nTvYcSuB6ARFRJyxFlkOKcrDCOSOIOmwLbyNU14A6M71FmXB7ZcTt9W/am+yUVpYyIWcCBZaCTjOz\nreefiaKGBx6YwSOPhDl2TMu990r8+McaRFGOqf+p1SpMprMKvlar3O4ctY76TCUpyJNPbqaiopGC\ngjSWLo30tR496uD0aRd5eaZu7Sy3N4i8rzCaddyxaiJ/uWU3mpBAUB3mS4+MYtz0LMqPuCNBa5oa\nvytExbFGRl2S0afrU1C4UFCUgxWSjXjl4ExdTlu/3KxhIRqyKdSI4Coj1FCJ7FOj0gcQndUsvusG\nHNq0HvNvkhRk69ZKPvmkHEkK4feHsVp1TJ12EQ2eedz0TQ1PPQW33362LLi91p/W30u0aT14sJkh\nQyw4HD6uvvoiFiyYQGFhmtK72s8oPa4XCKGQD7d7KxqNFZNpIoLQFUFpBYXuEayopuGF1ZEyYmcj\n6fffEisjlqRgiyDtVMMpDtUdYlr+NDIMkaAoftZaov7TeMJhePVVWLYMrr0Wli8PolKd7WN96qmt\n7N1bS0ODxOWXF3LP/xuDXq5n0IjhiEZTuza0XmeUo0cd3H77v5DliFP861+/RGGhmSef3MzatScJ\nh2HmzEE8/vjspO918bj9sTJgj9vP3k/rmDA7k6z8tNjzyZZx7S2UHtfzR/HN507EN29Bo7FhMk1Q\nfLNCv3Oy4SSH6w5TlF+EzWDrml8OSsibnoxlXCXDjW1mqXaVhMFmk4cVT/6H4+Uh1n1YhizL+P1h\nxoyZy5Ejk7jpJoEnngCbreVxogG3waDhi18cxpgxGbH56/Gb4+1tmrd3P6DQ+yg9rhcwZ5WDL8Jo\nHNnfy1FIYToqI45mOaPqhDHlYN3ZILIzZd2oQzt+3MgPf6hBo4G334ZJk9r2sarVKmpqPGRlGQj7\nvRz9n6UIkoMjlmwuW/y7DoPX9m7Cw2Hw+0NotSoqKxuR5Yi40rx5g/ngg1M4nRLPP1/KokVTcDr9\nvaqmeK4kCkrnfWNoi9cYzTrufXFKrNc1VYNWBYX+RFEOVkgm2igHayOtZF1SvNeICDOXoh9XQcij\nxZiTe85Ba5sAUh2iZt0zOA6GKDSLFBYUkm4rYO/eKXg8Ft57T6CoqO2xollUUVTz+uv7efvtY1it\nWi69NJfsbGOLCqn2KqDaq85S6D+Urb0kobfmIPn9NbhcmzCZxvVb0Jqq86tS1S44d9uiZcTp99+S\nUG04FA6x/cx2GnwNzB0yt0XQCmfLZxcvLkoorb9s2U6uvtrDDTeEuO++EJ9+CkVFicp8fJhMGkRR\nTWNjgKbaM5QfOc2+IwE+KCnl9MFjCdcfdZrPPrudFSu2IknB2Jw6vV6NSgU+X4CaGg///d8HeO21\nfVgsOux2L6KopqDAjN3u4fHHN7c4Rl/R3ufmcfs5XFoXy7SeLQOOCDElwmjWMeqSjKQJWlP5elNI\nXnrrvJOkKlyuzZhME/otaE3VaypV7YLesy0YDrLtzDZckuts0BqUwFWGqA6165dboBERMoejGTz4\nnILWkpKSxPPMPTXkGOqxZWhx1MuomM22bfP4yU/MbNumShi0QmT+ukolcOyYg0AgRFqalsbGAMFg\nuM2cdTgbpPbGZrNyTvYcyZUKUOhRFOVghf5AEHUJVYYTKgcHJfDUgDEnNus1tsMZlMBVCcYcfEGR\n5cuDrFw5iWnTqrnyys3Mnz8FlSqyE9p6R1iWZRoaJMaOzeDDD09x+oRE/hQdmeZG6hq1VDj0JJpa\n3Npplpe7eeONA9jtHrZuraSuzkdamhatVo1er8Xt9vPAA1MAmVdf3Yfb7UenUyNJQTIzDT2upngu\ntM6wfufpCegsKvyuEDqLioIRaf22NgWFCxFFOVghmUioHNxc+htuqESVPghx5tI+8WOtfbnFoqWs\nzkC2aGNkTgEvvvlVvnCtibffU5HTzjADl8vHrl121qw5gd8fIiPDgEql4siReiwWPT//+UwiwopK\n+e9AROlxTUHilYMtlul9ohycKiRSxFU4f6LqhFHlYCASmG5bAR47qHUwYznoLS2ek70O3t46g8V/\n+iYTJsgMG7YDQXC2O+w8WubjckkUF7+Bw+GjqclPeroed0Mjg6wewnoba9bdztixWW3W2bpM6dZb\nx7Jy5Q4kKchrr+0j8udHYMKELIqL88jONrbphbFYtN1SGe5tDpfW8Y/lhyIZ1sYQX//FGApGpCll\nwM0oPa7nj+Kbu0a8cnDEN/e+crCCQkfEKwePyjy7nSvXHsP3yr3IPjWCPoT+uy8iZA7vkzW19qXH\njwts3DgGUWti1Qtw2Vy5zYZ39OeOHm3g/vs/pKamCYdD4lvfGsOGDWWUlblQqwUGDzbzv/97gzLC\nZgCg9LheICjKwedOe4q4CudHa+XgGJ6aSNBauxekBkCAOU9EHJGnhn0HRB5atZCqWgN/+G0tV92Q\njSRNjgWnQIvZqfG9KAcPViKKKgYPNnPsmINQSEarN2DIyeb660cwfHjiLEfrPhcAm03Pnj12QMBq\n1REIhHnssVlMmJDdbi9Mf6oFt6ZwlLlNhjVaBqygoNA3KMrBCslGvHJwvjm/xXMhj5awV4NKHyDs\n1RLyaNFk9s26or70yBEX//73IHbvLmTatJO8+qqGYYN1kQ1vnwP0NihaAhoRl8vHY49toqzMxYED\ndajVAk6nxL//fQK9XoVeryEUkgGh+Z/CQEXpcU0SeqJGPBTy4XJ9hkolYrFMTxrHOFBq+0O1jkjQ\nak0j7HATqmvo8PVJaVdzTwpB6bwO01O2nWo4xY6qHRQVFLUMWgGMOQRkDf7GekJaK4Qk8Nqpr4eF\nP83nisUP8JUZO9n52ktcdV0kExsfHLbuRY1itzexatVOTp92c/Sog6wsI6++ei0bN97Cu+/exBe+\nEEoYTEZ7WYFYn0s0kH3ssTlMnZqDzWZg/PgsZs3K77AXpjd7ZTpizb/XxXpZo0SFlr7+izEDWh04\nKa83hZSnZ3yzF5frU1QqAxZLseKbe5lUtQt6zrYTjhPsqtpFcUFxm6AVQJ2bh2S4Ea9zLpLhRtQ5\nuT3yvh3xr3+tZcuWM7hcPv79b7jmGjNut5lbb93KVVfZyc83RDa8fQ4QrZH/vXYkKcgPf/gRq1cf\nZN++Opqa/NTV+dDpVFx6aQ5z5hRSWGgmP9/EtddeRGFh37fHKOdkz6FkXFMERTn4/OlIEXdAEC29\nbbUT2R/IssyB2gMJlYOjSCE1z332RYpDFZj0YSblZfPKq7k8+gu46SY1+w9oyDIVI6mvobJSIidH\n3eHMtexsA0ePNnDnne+ze3ctwWBkxtvcuflcemleLOAtK1O3XUtziXBttQejoGHJo8XYsiIl9qKo\nYdy4TN5992scOuRg9GhbUo27iQouZeSJvP3sEYYYTG1G2CgZVgWF/kFRDlZIJuKVg2fnT8MYaASt\nsc29QkRo8Y6E89o7I9E4m85wuXz87Gcb8ftd1NRMx2IpYNUqFfPmpWO3TzpbvaTOidzfRO9zDNns\n/LyGV17ZTyAgU1HRhM2mZuTIDMJhmYICM488MgO73QfI/bKhrNCzKD2uKYDfX01j405MpomIYtud\nM4WuI0v+c/pDnRS4yuDzZyM7kZITpi0Gc2GfLyMUDlFaWUogHKAovwitOnF2ITobLsMqcHxvkC27\n5pKVp2XZz7zMm6dHVIeQGs7wmxdOUesIJ5y5Zrd7EEU1S5YUs2rVLvbvr2X9+tP4fCF8viAWi47b\nbx/HihWXx34ukUMtK3Px6yc2E/w8hDogUDDCzA9eKUr67GS88BIqGTkAolUT62VVgtXOUXpczx/F\nNydGkqpoatqFyTQJURzU38tRuMAJhoOUVpYSCoeYljMRbemz4HMgayyEht6FOjfvvO972puH2hkb\nN57hm9+sxG6fQFbWfv7+9zzmzGnnmglKSA1V1LhN5OSn85e/7OWBBz5EliMj64YONXPFFUPIyNCz\nfPnMpNpoVug6So9rL9HfYj5e7wm83qOKcnAP0Z4i7oDA2HYnsq+JqhOKGCgQxhEOCqCOOLPqcieZ\nKglDpoWwu4lsqxmw8vobBTRU6PnFVR+SFSpl7b9msH2Ljh9fUYLfYWeyv5ESvoXdHm4xc23Roik8\n8sin1NV5eeyxz2hsDFBYaEarVRMMhrFYtMydW8APf1iUcMD4wz+YhL+xAV1aOi6Xn0M7HRQ2GFFp\nVISaImNikj3wix9t43MGUWsF/I2KWrCCQn+jKAcrJBNtlIPdFZGgVZ2Gb8smvB+oIX3weWt7JKqG\n6kyNuKQE7rknD0mCUaP+RV6en0mTxgKJ77GlkJoVL1TEfPltt42NjbrRalXccMMIHnpoqpJdTVGU\nT/Q86Ekxn5KSEubNm9f195Zlmpr2EQjYsVpnJ7VycHdtGygknV0aMVIe7LVHgtbzKBM+F9ui6oSD\nDAX8408OHI5SbDY9ixZN4XfPbGXYxg9Jl31MNnvxXzSK50tn8de9U/jml+z8MOs11CYtpR+7ydUF\n8brq8Tns6Mw2fI7j7Nl5AEk7CKdTwmLR4nT6qa318vHHFahUUFXVRFaWAUEQKCxMo67OS1VVE59+\nWsGtt77He+99DafTj8Phw+HYh0q4mDXvbsCPmtoqN/sOmmgMBMjTmRAFNaHaMLac5M62QkR4SWNU\n4a0NIGZouPgbDsaNnJ6SasFJd70pXBCcm2+OKAdbrXOSWjk4Va+pVLULzs83X5R+ESMzRiJLfoIN\nMmqNhXBDJWGvBiy5MW2Pc968D0rk6OuxWbU4EsxJbU1VFfzoR/Cf/8Dzz6vQ6faSmzsz1o4TdjVS\n+euXsTcEyR2STt4Pvo0g6toEx6KoYe/e7/L++yeYPDmHyZOzky5gVc7JniO5PtkBRiIxn77I1inK\nwQrtohH7pTw4qk44IWcCYacZh6My5lQOHqxHqqzDIkh4fTL/Vz6OJz74FhenHefSIf+NLi2T3Ucb\nmD7WjGA1U+3XkJGVh96Wjc9hR2/LYfzU0Xy6pZ7f/GYbp045GTMmgx077Jw54wYgGAyj0aiaA1OJ\ncFjG6w0hy3DwoIPt22sYMsSM0ajh8GEvY4YH8KNGQxh/SGDIIIEDqHCpJESdhoxMPY4aP1kDrPJe\nNGrazRJHe2ELR5lTLqhVUEgGFOVghaQgbj56jeRsoRzcMuFSQPqttyId+g9hh6/b2h4tsqFqGbat\nQPQ5WHKFDfvQ+8keZE0YQIZCsGoVPPYY3Hkn7N8PaWlQUqKjqGgQkhTk1P4qAitf44V/2XGrDWTk\nyzxycx2mYYPazHqN9r9+73uTe/K3qJCkKIHredCTYj5d3a0IhXy43VvRaKyYTBMRhOQXhk7VXaZU\ntQu6Z9vJhpMcrjtMUUERGYYMJDHYwqmMHpZGiUHgc3shfz/1JQhrePiil9GET/HcmeF4dgmoLi2m\n6JbRfHGIjaJT9WRfnIfWOJOws5I9nx9FrqtHJ4Qwm7U4HBKBgIzXG2DIEAsnTjhRqYTmOW1qvN5A\ni/VptQJvvnkIENizx86wYRPwBQ2YdB6a/Cp0aplKt5aZ8/LRlwhogypCdfKAyLiWH3ET9IQxZGnx\nN4YYkT814evie2FbCzcNFFL5elNIXrrum73NvtmGyTRB8c39SKraBV2wLU6k8UQYjg6+iuLBs7AZ\nIq1kLRMujYSxdUmEqXXJbpuKwzsuQ2hW+xUlB4WZXhDbzs/ZsgXuuw/M5kiJ8PjxUUV/DzNnzom0\n9Dy5iYo125HP2PEH/aSLMg1+G/VhHSbajq1LtuxqIi7oc7KHSf5PO4mJqK7d1mdiPopysEIyEVUn\nrG6qbqEcHO9Usixqjj/1Juv/PorNtV/g6rlHeGbmJxz8bA87ThpIM+nwegNojHqyR+Xi+eNqDA43\nHpsZ7r6ZmgYzd+hO4LE1sCPDw8ZgLjabiFYrkJGhp7DQTCgkM3t2PmvWnIjMa9Ua0evV6PUaRo60\nMWhQpNdTo1HhdPqx2fQ43TKTp0zHYpTQmaw0OGWqDjfyfslRUINKFqg84SUrP7n7RBPNaE1EfC+s\n3xUaEP27CgoDBUU5WCFp8NQge+vZH/RHlIOzLsZoOKt/kijh0pm2R6K2uDYVh14dmgQaG9GA16my\nsfRRHe+8A08/DbfdLCF4a5CaMlnxzM7YRvett46l7owTkzpItakRq85DwGAm/8pJ5BRaY2uKH42n\ncGGhBK7nSU+J+XRWI35WOXjgqROmam1/qtoFndsWrxw8d8jcNsrBoqghJ8fM755086tnvsqsjO38\nYfpTnM6/CLPwb2bND1JwzEedfzZOQxZLlhShcbtjjtBf5+TPvyzB1SAx4+gRpk4vYPYEFdNvHo11\n1CBcrgAWixa73cfLL+/mww9P09QUbJa/T2POnEKWLZuOJEVEmp5/vhS73YPNJnLixA4uvXQmgwrS\nYzu1aWaoP+lFRo4o2SEDya+SGp3RWnGskYIRaWz9/LOEn1tXA9xkJpWvN4XkpbPz7qxy8GREMa/v\nFtYDpOo1lap2Qee2BfUZlPo9hCQnc3LGo7UMafH8uSRcErXFxQfAjQYTR0+GGTf+B1i0zpjGhiz5\nqfvtG/z3x4U88Z/ZfP3bag4cUJOedjYrXOPMwFE3A6vNyO7dm7nttnFYc8ysWSsghNO5LE/g7gUq\nhtwwckBkVtvjQj4ne5qBexZcQCjKwQp9jewPEDhRDoA6M52wuylWIhRVJ7SIFqbmT0UlqFr01KAR\nWbMGFi2CoYUG/m/mr0mr3kHQL9MwZDiiOQx+HUNHCljsAo1egRUrtvLzJVNjjtCr0VPVpMGWJWL6\nrJKmT6rRZ1spGJWNyqKPydtbLHq++92JHD/uJDqOY8SIdBYunEJ29tnZsdEMsMWi5YMPNnDDDW0l\n+kdOTscwUoevPoghQ8uISQNDCbQrM1pbB7gDrUxYQSEZUZSDFZIJX9DH1srPsU78HhPNuaiMuQlF\nGrubcGkvS2tbeBtVhyq59e6Pafr7R2Rm6nnrrRuxNL/n1vUN3PPc1cioee3aN7jsO8XoDWMj9wrN\nZcU5hnpsaSEcTgmzWUdhYRoLvjuJigo3uf7P8UhaDJlaxPSBtSmk0Hsoc1yTmHjlYItlelIrByuk\nDrLkp/651/CWbCcsh1Dp9YjjhqPOTEd99/Vsq93JUOtQRmWOivxAXE/NEfsIfvDqvRw6rOa55+Ca\nS6ppWPkaesMGwkE3huJitGYDYZcdtyqTx9bMZedeFw6Hj+LiQTz9xExMAR/BtDSeen4ngfJqZh75\njEsmZKAxaMlYtKCNw5WkIE8+uZm1a08CAvPnD2XZshnntDvrcfuV4O4CQ5njev5cmL45ohwc8c3J\nqxyskOI0bxq71Hq2Vu+KKQf3NIlm3EtSkIUL1/Pmm0cwmXRYrTpeeukaxowZxM9+Fuall4JcalzD\nVHkd3087QtqoQkxfmEnGg99E2PVcrKxYmvRD7I4Q2dkGJCnIrl123n//BN4mCVtaiCVLL0M0Kfe/\nFxrKHNcBhqIcrNBfhGodhCprkQkj+EOEm5wIGg3VjjOcOLCeyWPnUGApOCvWIDbiqmnkl3+9gb+s\nLWLJj9z845/piCLIkg1tpgq1z4vGkolWH0SYfCdqtYhBbUP90VYcjhqcTj9btlTyixWlPPHEHPTN\nfbLVJ+pQLdlAcO9h5HQzqrTEzuv228dzyy1j0Ok0FBamnXPQ2l+qu4rir4LCwEBRDlZIGpo3jatd\n5ez0+5gw/Wfkes3Ikr9LJcCJZqS2R6IsbU2NB61W1TxD1c+gQUb27cvkq1+FWbOC3PrVEqyH9+Mo\nN+DQmEgLhQlW1RJq8KKJG90nakQKTeBy+bjxxrdwOCSsVpEXXpjPiBGJlYkVLlySX/buAqGkpCT2\ndSjkw+X6FJVKxGKZPuAdY7xtqURHdsmSn2BFNbLkb/tkUAJXWeT/JESdZWOTtw4BFbJOjSrTyqlQ\nDfvN9UwffXksaHX8/g3qV67mv+45zZjbf0L1cS9bH1rIDx9WIzZXJwmiDut9dyMWT0d/yVAEUxak\nFYK5ENFo4pFHZlJcPAiLRUdGhh5JCmK3e4FIn2y+GcRxwzHOmYJuzGDC1UeQPE2UlblwuXwcPerg\niSc2s3LlDv7+98NdCloTfW5R1d1/LD/EqntK8bgTfG69RE++d6pea5DatikkLy19s7fZNxsU35zE\npKpd0Mo2Tw0nHCfZ7fdSpNVjfO1dGl5YjeP3byS+94gj6sO7+vpE5OQYyc01cd11w7nyysnodN/i\nmWd0/M//wOuvqxg8wkCj1ojNoCLTAIJWgyYvKzKBIzq6L66U+a9/fS8WtDqdEk1N/pQJWi+Yc7IP\n6JczQojoxG8HymVZvkEQBBuwGhgKnAS+KcuyszfX0J2dpr4kqk6o1w9TlIMHKIkU+GLnWFxZLXob\nFC1J2IPSnwiiDsvXryb34nHIYZlDVOKoL+Oa0VeQZj4rqb9lj4mlG76MOujnlevepHiKg5BzYmQ3\n1XhW7U8wmlFf+XhsdzXeXlHUsGjRFP74xz2EQmGys40tBpars2xgtdBQXo0tZxOhIyf57P/8vFn2\nFT7f5WTEiHSOHGngC18YgsPhw273npPSYH+q7rb33koWVqGvSQbfnKwEAg243dsU5WCFpECWZfY1\n2rHLMrMNVsSQEYdDaCGg1FEfayLBpe4KjYqihgcfLGb58hDr1+tYulRg4ULQagE0LFk6k5oF4zB6\nXDTUebHlpWEalpfwnluSghiNGqxWHU6nhM0mMnq0oumi0Jb+2sp4CNgPWJof/wT4UJblpwRBWAL8\ntPl7vUKHgUU/MW/evAGtHNwRqaqk1p5dHTqEOFECfI5IMGcu7LtFd5Errp7fQjn48kuvjykHV5zw\n8+OH0/how5f4+byNfH16OSqVTMipa3+ecXR3NQ5JCrJixVYcDh9Wq44FCya0yZj6UbHSPYITe2q4\nbowfa7ARbdjNyYPHOXxYhccTRKtVUVXVxJAhlhZBb3skm+puRp6IoJKRnEFEm5qCEWnnPHc1Va81\nSG3bkoh+9c3JyLx58wa0cnBHpOo1lap2QcS2YDhIaWUpoXCIOVf9Hq2/AVltRbXn/1oIKHVEIsGl\n9mgv0fPee/DggxqKijTs2gUFBS1/ThQ15BRaWbHiUGzczZIl+bTeqj97L2Bh9uwMrrtuOBMnZsVE\nGFOBVD8n+5I+D1wFQSgErgOeAB5u/vZXgMubv34VKKEXnWNP7DT1NIpycOrQoUMw5kQyra1mnSUb\niZSDfT545qkgz64Is+CS/Wx6eB/5C+ajyb8CoNvzjGtqPM1Ba6QsSBTVbcqCamo8lFf7OB7Io8Gf\nRnrASSMWKur1BIMSZWVuRo2y8fDDRefVC6PWqZj/g2FUHWpiyhU5fZbh9Lj9vPqjvYQCoNLCd56e\ngNGs43BpnTJ3VaFPSQbfnIx4vcfweo8rysEKSYEv6GNL+RbS9elMzJ8YUfUX0xCgW2NuujoWJ1Gi\n53SVjocegv374cUX4eqr23+feD/fXlVU63uBoUOtKRW0KvQs/dHj+hzwI1oOScyVZbkaQJblKqBX\no8hYYOFs7NLOVG8iyzKNjXv58MO3sFpnp2TQmqq1/e3ZFXUI6fff0jabrxEj5cHTFidlmTCAS3Kx\n8n9XMihtEJfkXYKAirfegvHjYdtnftZ99w/8/CulmPwuBFGLIOpiwg2CqOtyD29OjhGbTd9cFqRP\nmC3NyTGSn59GUNbxxuEvs1dcwKyHnmdq8VAKC9MYNSqdSy/NxmLRdTlobf25SVKQJ3+xmZX3lvKv\n54/x5x/s4fCBeiQp2OXfWfQ4ZWWubv1ctExYb9VAWMBRE+kzimWAGxNngD1uP4dL69r0w6bqtQap\nbVuS0O++OZmI+ObdfPjhu1itc1IyaE3VaypV7XL6nPzX6v+iwFLA5LzJkaA1jhZ+uAt05fXxiR5f\nbRO/eszP1KkwbRrs2dNx0Apd9/M2m569e7e0+5qBTqqek5DiPa6CIHwJqJZleacgCPM6eGm7uvp3\n3HEHF110EQDp6elccsklsTR19JfXlce2hbex4d1/obKkcUXzRdudn++Jxxs2rMfrPcScOZdiMk3k\nk0+29un799XjKMmynp56vHPnznafF0QdGw/vb//nzYX9vv5Ejx1eB8ZRRoZYh1Cxp4KNJyp44415\nVFbCfd9fxxT9XxnrryTs1bC+fizmvbu4In/+2eOF/Mwzbgafg4/21BPOvY4rb/wqgqhr836bNm1k\nxowQ48YVk51tYNOmjQnXt2zZHL7znQls3vxJpAc2L4Pf/OZyvve9F/H7Q+TlDSc723DO5+OIEVOw\nn/Zgd+0liEzwyGSe+9Xn+NSH+PrXL2bSpBnk5BjbrG/t2vU0NPj4yleuAeCee17E7fYzadIMliwp\nbtee+Mc+TwCdxYzfFeK0dyfHzjQx6pL5GM06xt/mpvaMl6/dfC1G89nfgO0VagAAIABJREFUX/HU\nWay6p5SDx7ejMal45s3/F3t+586dSXU+9eTjjq637jyOfn3y5EkUIiSTb06Gxxs2rMfjOcTcuVOa\nffOWpFpfTz2OkizrSba/Fcn0uN5bj2mUiWG2YZTvLqec8j55/yadkT/tPcnpKgtrjj7EmGkGfve7\nEvLzQRQ7/3lR1DBjhhenU+KGGy5DFDVtXh+9Fxg7dgw33NA13znQHiu+ued8c5/OcRUE4Ung20AQ\nMABm4E1gGjBPluVqQRDygI9kWR6b4OdTZlZcKOTD7d6CRpOOyTQRodXOmYJCX3Oy4SSH6w4zLX8a\neDNYvhxWr5ZZutDN/Q/r0Yaq4fNnkdVphJ3VqGb9BCFzeMuDuMpir/Ft3YK3YQ6kDz6vPnJJClJT\n4yEnx9giqxpVIM7ONpyX8mA041r1gRtNWEVQCJM9Pw2Hy0cwGEanU5OdbWTJkuLY+8T359psem69\ndSwrV+6IlTotXlzUZZGo7s6OPVxaxz+WH4qUETeG+PovxihlxOeBMsdV8c3xhEJe3O6taDS2Zt98\nQZ8aCknACccJjtYfZVr+NGyGnq/Ka6+H1eXycc01a9i5cxySlMfwYdu59TbdOc9JV1DoDu355j6N\nlmRZXirL8hBZlocDtwAbZFm+HXgXuKP5Zd8B3u7LdfU1waATp/MTdLoC0tImK0GrQr8iyzL7avZx\nwnGC4owi/vt5DWPHygT9IT69/2982/cK7lVvIGvSQW9DCDWizipEsBa0PVhzD2/YWU3YqwFLbqyP\n/FyQpCA///lG7rlnLQ89tAGXyxd7ThQ1FBaaz8mBxpf1iqKGBx66lPk/HMa3nhxP3rVmnI0SpaXV\nfPxxObt327HbPbExPdC2b0cQhE7LodrDaNYx6pKMLvfVdlZGrKDQXRTfHCEQaMDp3IgoDiYtbZIS\ntCr0K7Iss7dmL6ecp5g9ZHavBa2JxuIEg/DooxLbtl2DWt2IKL6GqD/JmTNNLXxhdzmXlhoFhXiS\nZcvk18D/CoJwJ3AK+GY/r6fXaE85uKSkJJY2TzVS1bb+sKunxzjFKwcHD01nzp0+rFoXSy/7Hff9\n5A6cL9WeFTGLGxouqW3UVErk5LQSVGru4VU5K5AOfUjY4etWH3nr7Or+/XW8+OJOvN4QggAqlcBz\nz11xXru9a9euZ/NmQyxbeu+9k7n55ndxOCIS/KtXX8/Bgw42bz6D2x3A4XBw6aW5LYLRaE9O9BiF\nhWksWVLcIxngzjCaddz74pSEWdpUvdYgtW1LYi4Y39yecnAqn3epalsq2BWvHDx78OyYqn9P25ZI\nrHT76RzuvRfM5jQuvfQDyspO4PWGMBo1FBSYzrkHVZKCPPHEZs6caSQ/P61N5jYVPrf2UGzrOfot\ncJVl+T/Af5q/rgeu6q+19BWKcnBykayzfNujp8c4RZWDG+ssvPyrqWzfLPPIjBK+Mr2KjXuqQRDa\nqiNrdEi6vBZlsvEltABoRITM4dgW3tFCsbC9kt8orctvlywp5tixBvx+GUEAWYayMvc5z2qN0tDg\nw+EQYtnSzZsrY0PPHQ6JkyddDBpkQqNRk59vIhiUufvuyS3WLIqahIHq+ayrO0SztAoKPc2F6ZsV\n5WCF5CGhcnAvET8FoUGXxU9+lsm/18DTT8NNN8kcO1ZMTc14bDYDOp0KnU59zu9VVuZm3bpTkSqv\nfXV85zsTGDFCud4UukeyZFxTGlmWaWraRyBQi9U6G7Xa2OY1qboTA8lpW08EgX1t1/mOcYoP1N34\n+PjYVt7/n6GsfmEUDz0Er/3Jj++lasKORuZeMgXNoGzS7/4G/qOn0Y0cEvv9dEXeHs4qFkLioDTR\n6JvWx7388kJyc43U1HjQaFRcfHE6Pl8wVuLbHh0FyV/5yjUcPLgVu92DKKq59NIcbDYxlnEdPdqG\nKGqYP39obGd4xAhri2N43H7Kj7gpHHVupcq9RTJeaz1FKtum0D9EfPMegkEHVusc1Oq2maRUPu9S\n1baBbJfT52RrxVaG2YYxMmNkm+db23a+G/CCqMN6/238+QUfP3/KzM03C+zfDwZDS5+9aNEUnn++\ntEMfDpG+2F277GRkGBg5Mj3Ba+S4/1v2xQ/kz60zFNt6juS540pRwuEgjY2fI8syVutsVCptfy9J\ngeSc5dsZ3RkY3pr4QL3WKvOKdRSvP3cJl0/JZ8cOGDwYQIdh4W0EK+0gy8iSn4Y//r1NcN+6TDZR\n2VDrwLErwW6i44qihu3bv83GjRUUFqbx3nvH+e1vP0elEvj+9ycxYoStjWPsLEgWRQ2LFk3hscc2\nIUkhXn55L6tXX8/Jky5Gj7ahEVSc2ufkBw9OockXalP663H7WXVPaWTOqkXFvS9OadOfGh/Y9tVM\nWAUFha4TDgdxu7cDYLHMRqVSbocU+pfqxmp2Vu1kUu4kBpkHdfr6892Al6QgJSU+Hn3URDis4+23\ng1gsDvbs8ZGZqW/hsw8edLTrw6P+Xq9X841vvMvBg/VotSpuv30cy5fPivnPwYPNXH31RVRUNFFQ\nYOqzCiWF1EL5S92LdEc5WKl/7x3a2408nyAwSl/b1dWB4YmIBurrPHoeW5+G1j+V1S/lMmdO29e6\n/28tn+wsZfbwi5EDQdQ2a4vgvr0y2SiJAseuBLvtHTc728RXv3oxZWUu6ut97N5t5/BhBx9/XM7l\nlxfy+OOzWwwrjwbJJpOW06ddlJe7GTHibGl+SUkJI0ZMIRyWycyM9LpKUpiiokEJg9LW9kVnr+rS\n1PhdISqONbYo2+1KYNtbKH9HFBQ6pzvKwal83qWqbQPRrqhycHFBcbsiTLLkZ8M773HlDV9GEHUJ\nN+DVmeldysDa7UFuuKGGXbuyuOqqY7z2WiG/+tVmXnttP7Isc/HFNubOLYwJDo4ZY0vow+P9fVNT\ngJqaJjQagUAgzIkTzhYBrihqWLp0Rrv3DgPxc+sqim09hxK49hLBoBOXayt6/TCMxrblHn3JQOvl\n7Ck62o08nyCwP4kvv+0OtaF07t48nI/PqPjpRB2LX7GhaVuxHnOEgsmA7A8i6LSEnY2obHrUOjcE\nraARY4q+USQpSHW5k0yVRK1PRaC8GltuRoud2a6IF7U+bjw5OUZ0OjW1tV5UqkiAum7daTQaNU88\nMSd2zJwcIxaLjrVrTwICr766jx88OAX7aS+Fo8yx1yRywp0FpRCn6utKrOrblWMoKCj0D4FAA273\nNgyGERgMwzv/AQWFXkSWZfbZ91HrqWX2kNkYtQkcM2fvZxp3luI45cS28LY2G/CqNGOnGVhZhtWr\nYdEiFVlZcP/9OwgGm9izR8977x2noUFCo1Fht3u57rrhDB1qjfnH668fwfHjDVx2WWHM38ZXU0lS\nEKtVT329hFarYtgwKxaLlrIyV6z6qiMfr6DQFZTAtRdoTzm4I3prt6KnBX3Ohf7aZeqsHPhcg8Ao\nA2H3zO+H3/9XiF/8eTfXXJvOgd8NJ29kVrvnQNQRzqIQlc1M+t3fIOx0oD75EsKe/8KnMmHPvZHs\nIWPQGyMBm8vl41fL1zPt4AeYJBVjtB5mh0x4K8IcnHZ9zOmdr8MSRQ3Ll88kFJIpKSmjqqqJrCx9\ni3mu0fLk228fT0VFI3l5JhrqfLzw/R2o/EJzBnRW++JKnQSl0LGqb1eP0VsMhHPyXEll2xT6hvaU\ngzsilc+7VLVtoNgVDAf5/MznyMgtlIMTEb2fmTNuEsGyaoKVdrQXFbTYgO/snufgQbj/fqithb/9\nLcwnn5yMbd6mpWmpr/fh94fw+0OYTBomTszCYtHjcvlYuvQT3nzzGKFQmDFjMnjnnRuxWPQtNoHz\n8tJ4553ZHDrkICPDQGGhqUt9sVF6+3PzuP0c3dmAzxtEb9QwcnJ6n1VDDZRz8lxQelwHOF7vcbze\nY0mjHDwQezl7ip4oBx5wBCXw1IAxhzUfijz4sI/08Vt5+U8Wbpw5tVN1wkSZaBUOCLrwCQZWbVtD\nrW8nVn02D973ewS1nl8+9h/G1rzAyOxyrP4Qod35zLisHiFHz5emi+jUc+mpPzUWi54VKy7j2DEn\nf/zjLkKhMNnZRjQCLF+8EY8cJCvXyKJFUxgyxILD4cMoaMAHOkvLDGiiQLqzoDT+de1lUTs7htL/\nqqDQ9yjKwQrJRAvl4NzOlYPVWTYEsxFvyXZkQcb1P2uw3XczYXdTrJou4T1PUMJTa+eJ3+bxhz9p\n+NnP4HvfC1JZ6eaGG4bjdgeZPDmLY8ecuN2ROemCAJdcEmkLkqQgjz22ibVrT+J0RjKrdruXQ4cc\nFBUNSrgJnJ1tAqCszNUlIce+wOP2s/L/leI7GkAMqvBpQhhG6rj/pb5r5VHoGXpPY/sCQ5ZlGhv3\n4POdxmqd3e2gtaSkpFfWFftD5mzst+Ctt2zrjGgQln7/Lb2Sae4vu9olKMG2FRx5+zW+fPkp7n+4\ngQU/28hfVw3ia7Mu6bKkviDq2Hh4/9nflzEH9Daq7WXUSmFM2nScPhe1Z05SU+NBDNVhsYTwSFp0\nOh/6/AAqlQetaEGr84HX3qNmiqKGceMyefzxWdx++zjuvmsif35wN65PJcI7QtRWe3C5AixZUszi\nxUUsebQYfboaf2MkA3rszOcdHj8alJ6PM2vvGNH+138sP8Sqe0rxuP3n/B6JSLpzsgdJZdsUeo+I\nb96NJJVjtc7pdtCayuddqtqW7HY5fU4+OfUJBZYCJudN7pJvFkQdlpuvZWtaGOPcaYSdLup/8woN\nL6zG8fs3kCV/23setcy7z73J+EsNHN9+kN2lEvfeG2TFis1861vv8cUv/pOHH97AM89sp6qqkXBY\nQKWK/Kur87FrVw1lZW78/hC5uSYEAQKBMNnZBkaPPnuPG90Ebp1NjWZjo32ync1/7c3PrfyIm6Yq\nP5qAChUq1LIKX32QimONvfae8ST7OXk+9LVtSsa1B/j/7J15eFxl2f8/Z/ZMMplMtiZpurfQQptC\nN0pbpCAor4iigOKLbL5SKUsBi1RBBYQXqEArAmVRUUB+WgEt4FLhFQItXVK6pxtt0yX7Ovtkzmzn\n98d00iyTbTKTZCbP57q4IGTmzHOfcybPuZ/n/n7v4ewcnKxazngx0HLgZMJR18ijzyzilfXzuf07\nb3HrLSpmTbmYIlPRwA6s0SPPXM5b/36Pxho7dap6Jo8rIrdoPJLagCG7CL1vFIE8A+nqPDy5Cwhk\nfEraueOR0nMhLS/mj+5ud1KWA20lSHq/ioxWDWqDRLBVIUPStq38RlZ32++Alm3fNLDzMQCE/lUg\nGDwizsGSJAnnYMGwoCfn4N78SDRF+WjyLCjuViStFsXnR53d0Twx8sxz/Dgsu62VQ3sv5jc//geX\nlOwEy3IqGzKpPGGlqtKG3REA4NgxG1On5pCVpcdm86FSQU2Nm9df34/FYiA728A55+RTUpLH1Vef\nwezZozoYInZHb0aOg0HkGUL2BDHbdOhUKiTAo/hJy9YNqpRHEB8kRVF6f9UwQZIkZbiNtz/OwQJB\nIgiF4NVX4YEHFC6btYul1/0ea4aNOYtXkt0HS/2+UFnp4FdPbuG8IxvwttZx3oIZnPHzW5H0urDG\ntM5GXoYLRWXm2cc30+gNUZgX4Lbll6I3pvf78yJalH8/V0HA09Wdt7LSwapVn2E262lpbGVUXRp4\nAQPc9tK5WHKjG1wMNUPpOCyIjiRJKIrSva2soFeG59zcisOxFa02h/T06T06BwsEg0HEOXhO0Zwu\nzsF99SNRZB/BZhuqDGPUdnWyDE8/Hf7nh3cHuPcLK9GHmsBggbkrkOUg9938K9b+nwqPrMKYkc6E\niWbOPTef8vIm8vLC5oZpaRry89Ox22XuuGMWer16yJLPvhBtkbv9fOtzBDDZtIQkUCmQcbGO7/5i\nhph/hzHdzc3D8w5MEiLOwWlpE0lLmzTUwxGMQLZsgWXLQK2GdesgfQw0tCxi0cRLMXZjqR+VdtpY\nNPouv87PN1KoD6B2ejFlFmMOhTq0xykelwvkUlnpoMZvwJyt52SLTGNLiOJOOWTnHq+diUw2rQ0B\nQi0h0ibq8DlCHXYn2xtC5I4yctvD59BU5R32mtK+amgFAkHsCOdgwXCiL87BffUjaV9F1rma7t13\nfSxbJjFtmorPPlMzYYIGAveG5TppeeGOAJ5KHrm+EUnKo6nJS8A8FnNeFvn56cycqeKGG87mzDMt\nHUyViosz+pSwOhxeDhxoYdq07D7tyMaLtmeG5gCE4IbnpzN2SlaHCie/HCRACI2iwk+Iy26bJObf\nJEVsD8aILNfhcGwhPX16XJLW4Vb/rsg+AtX1KPLANXjDLbZ4MZRx1dTA9dfD1VeHE9ePNwSQRn+G\nI+Bl0dRv9Jq0dri+p7SxStmTBP/zMxSPs0tser2GO362mNkXTWb+2RlotGpUGV0n3940LZGeb6tW\nfcbKlWXIcqDLMSKTjd6iQULCawt0ceeNlCAtXz6XFSvmYck19llTOtT3Yzw0tN0x1LElklSOTRA/\nZLkOp3Mr6ekz4pK0pvJ9l6qxDVVc0Z6bAqEAZdVluHwuFo7pvt1NX/1I2scWSWJrm3VcfXWQb3/b\nj0q1AVl+k5ycsNESGj2Yik8vSBvzycy18IvvNpKbq0ObZuTQISvNza3k5RkpKckjM9PQYX7tS9Ja\nVeXgoovW8v3v/5srr1yHw+Ht20nrJrb+UL65CUeFjLZWwliv5tXv7KWpxnXa4d8VJD1PyzdencqY\n67P4zltnM3bK4Pq9pOp3DYTGNSkYbs7B8WY4tNARRMfrhVWrwmVAP/hB2N5eY/CypbqMTH0ms4t6\ndw4+fX2taCwK5uv/C9xNeHedQPHakfe+jFJS0uV9hkwjY++9jpan/oDi92N7+c0u94Zer+Huu2dx\n8KCVqVMtXSa89j3funMZzC7QI6kU/K4ghslaLls2kUklXW3r+9JeJ5qmVCAQpCYR5+DMzPloNOah\nHo5gBNH5uSlryTV4rM185juMxZTXq3NwLH4kgQA8/zw88gh89asezjjjHSwWDVar3Ob62wWNHrnk\nXnZvPMDmY/uQVA4UBa69dipz5hS0zdn9aV/ncHj5+tfXsX9/S9v7u/38ONNU4+JfDxwlU9ZiUGlw\nE0AKQvmnzSy+ZlyXCqcp5+QkfEyCxJKSiWtvAveYj6souN3l+P3NmM0LUavjp6MbTj2e4t1CJ5E9\nahNxnfvKYF4zRYF33oHly6GkBMrKYNI4GYf1KBtrjzMuewpTcqb06Vjh62vFaP4EvDZCO2tB0aB4\n7aDLImiVuGD6zKjvDTndEAyhtpgJWa0ET+5DM+GsttXc9qZJ0fq2tS/xjbYj63H6ePVH5QT9oNLC\nzaunk1sUu3lCtJ6qU0yLYz7ecGc4/R2JN6kcm2BghOfmvQQCVszmRajVPbuX9odUvu9SNbahiKv9\nc1Owycbxp15gR+gY4zPHUnLXD/vkf9IXM8lIbB98IHP77SoKC1Vs3KimqEjLlVeGk1aLRc/48ZlU\nVjraJDkRiY7ZrONXv9pFRYWNqmoXmZl6MjK0FBSkx6xfPXCghUAghF6vRpYD6HSqDq7DfaW36xZN\n9rPn4ybUAXBrg2iDKoJKiKBOYfrCcILaU+u6wSRVv2sg+rgOmETtFg5n5+B4E4/+p4lOKkfSrvC+\nfXDXXVBbCy+9BJdcAgRkGjb+jJ3Nh5mRPYmiCV/s9v0hhwvf4RPopoxDlZmBOteCxqKA14ZkMKPS\n+FCm3oJ3SxZBVxrqXEu31/z0vWHFaNmA+sRxaMpFnrmchuYgshzscUe1N5fByA6pwazB5wpibfCR\nOwBTZKEpFQhSG+EcLBhMFNlHoKYBoM3FFzo+NzXqPOwNnmRG5pnk2zUxL/53fo5yOLxs3mzjD3/I\n5q9/DVFYuBWVqoacnCuw24OsXXsFhw5ZSU/X8txzO3E4fFgsBu6+exa/+tUOGhs9yHIQSZLQ6zU4\nHH7c7gBZWQYyM2OfG6dNyyYnJ6xp1WpVrFt3Zdw1rt0ZG5ZcmMuG1SdR+yWsapnZtxYx//LCAS14\nC4Y3KfcXPt67hRB2J3Q6yxLqHFxaWhrTqkUiEsSBttDpnFTuLinmoi9dGpexRejpOg/WTmys16yv\ntLTAgw/C2rXws5/B0qWgOfWNPV67nc+bjzAv9wwsIV/YfMFU3OUYwcYWam+4n1CrF7Ulk8JXH8Ov\nN+D42ncoOFIf7rOqt2D782aCPhOSTkvWkmv4ePOmqLG13Rsn96E+cRzJmE3A3cyapz/gZEsmJpOO\nzExdj33b9HoN2WY9J/bZuxgmRdshHSidV1wTfd2GEhGbYCQxGM7BqXzfpWpsiYpLkX20rH6N1tLP\nUCQF44XzyL7neiS9rm1uPHxsF5X+OuauN5NpCw1o8b/9c5R0/dWcf+EBDh+2kpMzhkkTPiM33Y+1\nER64bz3pmZmYzGlIElRXu9i3r4kvfnEcVquXgwetNDZ6KC9voqmpFZtNRq9XEwyGOOOMHILBEMeP\nO8jL638HAIDMTAPr1l3JoUNWzjzTEnPSWlpayrzZCziyywYSFE000lInUzzF1G0rudyiDG5fN4vy\nT5uZvjBn2Casqfpdg8GPLeUS13jsFrZnODsHJ3LXMVKyEjEb6E8S2DmpDDniryvs7jqnwk5sMAgv\nvwwPPQRXXQX790Nubvh3iqKwv3E/DbKTRaPOwuh3h23uo/RKVWQfzY//Bl9FFar08ETi2n+cX73v\nCLvxWr7CvbePR+1WEVq/Llz+a3cRcnl6HJ+k14XLg5tywWvFHcigusWA2azvYp2vIkBLbR2m7Fy0\negOyHOBEhYN3fvE5AVfXljCx7JAOJ9dggUAwOAjnYMFgEVkMV3x+grVNKISQQhKBuqa2RXNFUSi3\nHaLZ4OGCSZeQdoam34v/7Rfd2z9H7TpgYNmFaiorxzN5cikGTRVKVQ3NQYUMkxt1gw6zykiVswRU\nGgoK0tm3r5m6Og9jx5qYOtWCTqfGZpPJyNCiKAoaTXgDpqLCxvTpuTGV9rYnM9MwYE2r1+Pn+e/v\nwHvEDyFQ1AqafDV6i5obn5ze7aJ2blEGi68ZngmrIP6kXOI60N3C9shyHW73btLTS9DrEysyj2W1\nIhG7y+2JNQnsnFRefMXlcRtThO6uc6LPSXsSscJUWhouC7ZY4P33YWY7qWkgFGBH7Q6CoSCLJlyM\ndvziDjb3nQnUNBD0+lAZDYTcXjSjcrGac7FaGzCb9TRZZRpbcxg9St9lEaDX2DR6mLsCWhsxqC1k\nlu3uYp3vl72s/8eHuGVI0yqcefZs/vTnIzQe86A9IlE80dSlzQ30T5MSS1/UVF31BBGbYGQgy7W4\n3XtIT5+JXl+Q0M9K5fsuVWOLZ1ztn4MkkxFVXjbSoeMoKgVNQS7qnCwCoQDba7ajoLBwzEK06rCU\nrD/PHtHMnVyGbB57czrrDp7Jzx6R+Ovf/oO1OYcsvcLKs07SYlRzxtgtvN56OXabTNFkCcmQjsPh\n49JLx3HjjWdTXGxCr9fw4IPnI0kSHo+PXbsacDh8aDQSwaCC1xuM2/nqD5F+7UgweWYWEwtmUda4\nn7SAGhUShECWQvgcIawNvqSW/aTqdw2ExjUu9EXg3hunnYPPQ6sdXNvsvhLv3eXOxJoExnPxoLfP\n6TyeRJ+TRHHiBNx7L2zbBk89Fd5pbV/15g14Kasuw6w3M6OonTthu/Lg9qu1AI616wlWVCPlmkk/\naw65P11CIDOzizmSpNfEdr1O2ezrIapu1dnShFsGgwYqKj188vEGNn0mc8H8YlxBL+4WH6Z83YDK\ngbsrHxIIBKmJcA4WDCYdnoPsLsy3XIX5u5eDApqiPGR1iK0nN5NlyOrVObivnxNscfLG60FWvHAd\n/3WRl33r1OTmwhUuD4ePOpk0Wo9ur4FshwOvYuHua2y4NAXkXbIYNLouc7EsB7Dbffz85/NpbGzF\n4fDxv/+7maNH7UgSHDtm57PP6lm4cDSVlU4AxowJe1NEeq4DfH7ASuNJN+cuyMfj8rP5nzWc/5Ui\ncgvTaWjwkJGmofFka6/VTx6nj/LNTXzwqwpC9QoKCmmTddy8ejoaowqpGYIoSIpC0BvCWKBt5wos\n5veRTkomrgOho3NwfN0JeyKWGvFEJ4gDSQLbJ5WDWf8+WEkzxCcutxtWrgxb2t91F7z2GqR1uuUc\nsoOy6jLGmcd1cA7unKieXhVOx3jhbEJ2J2lfmE2wvhnLPdejzstGTfQks/MiQH9ji1jny3KgzcnQ\nlJ1Luh5sziAhn490cyEEa2n52EO6pEVnCJf/DGTlNBZNrNCaJCepHJugdxQlhNtdnhDn4J5I5fsu\nVWOLZ1ydn4M0hXltzxV2r52yE2VMtExkUnZ0KVlfPTcin3PwsIYV/3c1Dn0ab/0pwIILw/d5oLqe\njFY3rboaMpVi9P97Ny8/txtHIIB5axrXf28eaHQd5uIjR6zIcpC//OUgDocPk0mHJIHD4SMzU0cw\nGCIQUJDlAK++upe//vUw27bVoVLBgvOLsNnd6HRa8vMz8HoCnHzXjh41b5k0ZMk6tIqa7S/U4p0d\nIqBXUPaGKLRkYMhSd1v95HH6eP77O5AP+0kLqAlJ4FOH8Db7Wf/PD1ny8sW8tGQXwVYFfbaGK++e\nErUdXrKRqt81EBrXISUZnYPjsbvc07EHKwmMJ4k8J/FCUcKmS/fdBwsXwq5dMGZM19c1uBvYWbuT\nGaNmUGQ6ba/buazIdNWlBJttgETrR1sJVNcRqKpHN3UCmjGj0BSe1sD2pz9bf5DlACtXlnVohXPZ\n5RfT3FDPb39/HKc7yMLZhWQc1ZBu0RHwhIRrsEAg6JVQyI/TuV04BwsGne6eg+pcdeyu203JqBIK\nTdGlZP2RW3kCOn5ZfwO/fROWLyzj5ulvo9uWgTI//J62BPqYG0apaFE0OK0HydB6ef+fRqqbVIwd\nb2HFinkA/OKhTWx4vwqPP0hmUMOcLxVSU+MCJIqLM6iqcpKersVGAzuzAAAgAElEQVTrDSJJsGFD\nDWq1RGtrgFGj0tlcEUCXZkJy+HC7WvA2KxhR4yeE3qNCr1LjUylY0FPzmRvSQAkoSAVElQBFqDrs\nRG4JoEgQkhT0khpVUMJt92PK0pJblME9f5on5nRBt0iKogz1GPqMJElKosZ72jnYcsqdMP7OwQIB\nwI4d4d1VtxueeQYuuCD6645Zj3Gk5QhziuZgSetonBCorse2Zm1b+VLmjV+jccUqgo1WQg43GVd/\nCcXTiunbl6E/a9KgLDpUVjpYteozzGY9LY2tfP2Lk8nLNzJ5ZhZqnYrGxlakQIjX7ion5AeDpftV\n2YEgzJoE/UGSJBRFib8d7Qgi0XNzop2DBYL+dCOosFZwtOUoc0fPJcvQfSVa53k66/ZruyyqKwq8\n+274mWDBAlh5byNpb/+pw3vUOVkEm6xIOi3WZ/8fis9PKCvISwdsnGwxsu+owhcvPweXX88tN45D\nUptYddMOgq4Qk7VmvEoQnxSCy1QYMjQ4HD6MRg0ff1zJoUNWPLKXjBwZA5nIrSq0aTrGzT2DkM+P\n3qhhktFFjiWDynfsjFWb0KhVGCUNASWETlJTZXCjBBRUGomC/PQ+7bi2HvEhhSRAQSpQIUkS33ps\nmigFFrTR3dwsli0Z3s7BgtShoQEeeADeew8eeQS+9z1Qq7u+rs052N3AwrELMWqNXV7TuXxJ0mrQ\nnTkBpk6kdcc+Qs02NGNGDU7SGpDB00B+TjYWi4Gmeg/K9iCbtlS2aVdu/+0sss16Xrh1B4of1Fpp\nwGXC0eiPWZNIcAWC4Y1wDhYMBn3dGVUUhfKGcppbm1k0dhFp2rS290dLetW5FiRTOv6aBjQFeV3k\nVseOwbJlcPgwvPIKXHwxKLIZ64fhud1vyqDaFkL32h/ROl2gllD8AdTZZiS7jXuv8bOvqo6n/6nl\nZGMlOaPHsmv/YfwtKowqDa340as0+AiRrtJQYMngGz84E1kOkZeXhsNq5823NvDHsj/jCMr43Xrm\n6a9CI2mpC8qQrsOo9vHIQwvJzjPx0ZwTbFpThd6swdcUIHtOOu5qmUJvOhjgpqen47EFe9wpNZrC\nzwNH99jwtgYp/c0JAp5Q3NrfCVKfEb+tKMt1OBxbSE+fEbekNdJCRpF9fX5PaWlpXD57OJKqsfU1\nLp8PVq+Gs88GkwkOHoRbbometAZCAbbVbKPRXsc4OROVPxT1mJHypazbr8Vy53VoivJR52YhqVSk\nXzQfyz3XD6gVUE+xRbQzR45YkT1u2LYStq9Cv/tpVtw7k29dcSZ56eFkW4WEtyVA9VFXm5GS3qxB\nCYG1oe/fj77S0awpXK4ULbZIgvv2g4d44dYdeJzxH8tQkKrfNUjt2ARdkeVanM6tp+bmoUtaU/m+\nS9XY+htXNCPKzgRCAcqqy3D73Swcs7BD0mp99g1sa9ZiffaNKM99CpIS/ncEWYZHH4U5c8K7rLt3\nh5PWCKarLsVw/ZX8pnUKq57eyq//VYc/XYfiC7Cp+jghuwuVxYLrrNv4n49q2TZ+Iztz3kXJriZN\nG0KTGWL0pDQKitJRq8Cs0qEOSPzm/5Vz/WX/wNkgs29TBatevJ3y+hfw5R8l36CjKN/HT5dPYNpZ\n+UzNDTE53c1vH5tLYbEFvV7DF74yhvR8HboTkOHWYd3cynVPnM23/nca9/xhLqPHm5lyTjZGkw6P\n08fnO5qjzq1Gk44ZC/OZe0kht/92Flc/MpWlL86ibPumfl23ZCJVv2sw+LGN6B3XRDgHp0IfUUH8\nWL8e7r4bxo+HTz6BadO6f23EOdigaNmy7nU+kJ2YDZksu+1ZDMauK5Gdtbzx1iPLcqDNUbC9O+Fj\nj23h/fePAxJXfcnA3Rc0ozFakO1WqnYdZ2rJODbnVuO1+QmhkJatbVtJ7a+RUn/pq1mTcCMWCIYv\nwjlYMJj0ZkTZ6m+lrLoMS5qF6fnTOzgHd9t9ISATPLEPxelAMzqfkN2Fp6aZdZsyeeghI2edJbF9\ne/jZIEL758dayUiLbQxZoXKaQ7U4W7aRW/BfmC64jKxzZ6POyeK9f35Kq9aNRgWtQQf1Hg/1dh/F\nOQaueP4cdvynmQ2/q0T2BKitc/NF7Wg0HjXrbjpA46h9OMxTaJ7yPvn6AKNHOZlgHsWZ06eyYqah\ni4EjhBPOmZfnseNwHUFNAHUAKnbZWXzNuA7nqz+VT8IpWNBfRmTiGk/nYEX2EahpAMI9u2JtIZOq\nbmOQurH1FNfhw/DDH4Z3V1evhssv79jepjMR5+DxWePRN3lwyk5MehN2r4OmykMUF+aDMR8lKHWr\nw4mnKdX55y/qYrSk12toaPBQXe1CObWCfKRGizuQgcFh5703zuCIrQVtppObV0+n9lgroHRwBEy0\nkVJfzJoWL16Mx+lLeBI9FKTqdw1SOzZBmKFyDu6JVL7vUjW2eHZosHvtbD3+KeOUHM4onNrF/yRq\n0huQYdtK1O4mjJZKPNYLOBkq4sYrNJysVPHVrx7klVemoNdrOiwQq9s9P2Y3O8lSu7A7/OSfUUDx\nAj9pF17CxTmnqw/OP7+EtD+bcIea8YUC7Nr5GS3NefzuD4sx55o47yt6drxbh8oqoW5UoUF9yhBJ\nhYQKvZyJTzZwjmU0/3Pljxk96SxCQR1VB+0UTzF1SFojzPlSAVvX1KD2SwS1CtMX5nR5TU8Lwx6n\njyO7baDA5HM6ugWn6v0IIrZ4MuIS13g6Byuyj5bVr+P5uAxJkUhbPAfLbdcmZR9RQXxwOMIlQK+8\nEnYMfust0Ot7fk+9q55ddbvanIO9BhdmQyZ2rwOzIYPcur9BjRtFk4l162hCVm/Cd/MbGjxYrV7M\nZj1Wq5fGxlaKi03k5xsZPTqDffuaAIn8wmwMX7ifql3Hw0lrhg6fI4i1wceMhXldjjsYq6udPyOa\nllW4EQsEwwvhHCwYSjov/Cqyj+qTh9jbepRx64+RY1djtezvMu9GTXodleC14tNkUzdKy5uN32Ll\nb4qYMuUkd9xxBI+nlcbGYvLy0josEN+1dAa1kpHsZidpeZn8+H++SNMn+8kzNKPPHA3m0R3GnFeQ\nw3+eWcPvX/uI19ceo8QzBU1AzW/uLGfFn+Z3mOcCoRB/uqUcfVCNXwFJUaNGYmZmASuWPoM5t6BP\nO6W5RRncvm4W5Z82M31hDrlFXRd9u6t86mDMhIRhspbbfxt/g0ZBajOiZoaOzsEzBuxOGGyyEqhr\nRAqBIoUI1jYRcnliKtkUPZ6Sj/ZxhULw6qth86UvfxnKy6GgoPdjHLMe43DLYeaNntfmHGwwZrDs\ntmdpqjlOrkmNYf/LoDcTaq4BmxqVuZhgkw153xH0Z09OSPJ64MA2LJa0tgk1Ly+886HXa7j//vnc\ncMPZRGz19XoNhTOmoM3cMex2MKNNxGXbN7F48eKULFFK1e8apHZsI53h7BycyvddqsY20LgU2cfO\nZ1ZT4TjBuapxZPp1qCzdV9F1qXYy5iOrLNz6eCHvbvoa5hwdH3zg5x//qGmbU3Mz1dTsOUlLo5us\nHCONjR5+8cRnBH3jyDLAj5csRNLrUEqWgskNWQWg0XeJLa8gh1tv/SofrHsHjUNNSAvakKptl7P9\nPLfsvTmUf9rMxHPMOJvGoUtrYswZt7ZJkfoqocktymDxNd3P8d0tDEda4aiQUAD5lP9F5DNS9X4E\nEVs8GTGJayKcg9W5FjQFefgOHUNSVKgLc9uS1eHeR1QQP7ZsCTsDqtXwzjswd27v71EUhX2N+2h0\nN7Jo7KIuzsEGYwbFk6eHS44MFvBaUWUVQlYBwSY7vkPHcL75bzwfbk3IzqtOp2bFinlRdS56vYZJ\nkzq25xmuO5jRJmKBQDB8EM7BguGEoijs+nwTlY4qzjeVoLO2Ium0pwyReq+iczi8bNpk48U1y/nn\nhzBu7HZycivJyrq8bU7NzVTjeXktukYHaZ9rsJ1xxqmy4SA5OUbsdpnqRh9vvLGrnVxnNFEqdwHI\nzDTw+ptf4YUf7EQbUpFm0URdPO6QcE7JAoo7/L6vHhF9IdrCcPEUE/psDa0t4R1XfXb0cQoEPTEi\n+rjKch1u927S02ei1/dhG6wfhDWujSCBpjBPGDGNIGpqYMUK+PBDeOIJuO46UPXBpzsQCrCjdgfB\nUJA5RXPQqnspVw/I0NoIaXkoQQl53xGcb/4btcXcbW+4kUJvLW36YxIhGJmIPq4DJ/a5uRa3e09C\n5maBoL8EQgG212wn5PMx8e2DqG2tqCwmspZcQ8jl6bWKrr7ezYIF5Zw8WUJu7nGKinaj1QaQJPjj\nHy9vW/Bt39+1tdmJ/5qvkT0xl189vRGrS4MlJ53//u9pPP/8TsxmPXa7zPLlcykuNvU4fo/TN+DF\n43gco7fjH91jAyQmlZjFfCzolhHbxzURzsHtkfQ6tBNG9/5CQcrg9cKqVfD00/CDH8ChQ5DRx0XD\niHOwWW9mRtGMDu6E3aLRgym8MippQH/2ZDwfbh3xOuq+JKXDdSdYIBjpCOdgwXCig3Pw6LlIy87r\nIPlSZfY8yW/ZEuBrX/NjtY4lL+/v5Oa6OPfcQkBi9Oh0igv0Ye2rMb+DoVNaXiZFZ+Ui7V7Nii9Y\nafRmk3fJctDosFgMXeQ6PREP+UuiJTSRVjgCQaykbB9XRVFwufbi9Z7EbF6UkKQ1nogeT8MfRYF1\n68L9WLdtg1//upTHHgsnrV6Pi5P7duA+UtFt/16H7GDDiQ0UmYqYWTCzb0lrFDr3cE3ELn/na+aX\nvbTUVuGXvXH/rFjpS89WOD0RR5LWVLkfoyFiEwx3FCWEy7UHWa7CbF407JPWVL7vUjW2/sZl99rZ\neHIjxZnFlIwqQSWp2iRfvc2vNhvceSdccYWKs8+uYvTo9/D768lI1/LInVN58CdzuP++Wej3PAXb\nV8G2lUhqpeMcHrCB14reZKY4swV9qAW9XsOKFfNYvnxum6t/LLElEyK25ET0cY0DHZ2DFwl3QsGA\n2bcP7roLamvhpZfgkksg8l31elw88+wdtFQfx+TX8j/jrqbgnps7THj1rnp2Vm7jLPUYxqSP7d+H\nB2TwNIAxP7z7Snxb3/SGy+li/Xsf4kONySBx2eUXo9UbBuWzeyKeehyBQJB4hHOwYLhR56pjd91u\nZhbMpCCj7+XqigJvvAE/+hFccQXs3h3ity9ZOXPMKEJqNcvH1aH9y7voLSZ0N30BvFYUdQahpipU\n9mqknImn53B1Pp5QDlX7fBRPzIFAFlU7mimeYuq1PFggGGmknMY1mnOwIvu67X0p6Io4X6exWuHB\nB+HPf4af/QyWLgVNp2etys/38MIbP8XQ6MGtDvBd3QVMW35n26R0zHqMw/UHmPxeBZm2UN9a2USS\nVZ0Zdv4KvNawSdPcFW3J62AgywF+/dT7SDonOrVCboGJyy4+h+yC4VEen2g9jiD1ERrXgdO3udmD\nw1E2LJ2DBSMPRfZxuGIXx6Um5o1fQJah71V5+/fDbbeF29+tWQPz54ePV7f6jzRWO8kxqdCFAqiz\nT/lQ3PoN1Md/i3frZkKtGuS0K7HceVPbM4DH6eOFJdvx2X1oMrSEFAm/LYg+WyPaxQhGLCNC43ra\nOfi0O6Ei+7A++0abHjCRvS9TAXG+wgSD8PLL8NBD8M1vhieq3Nzor80rnojZmE2LxoHJryV3dDHq\nnCwURaG8ehf1tRWcl1WC33YElbl7S/02TjUvx2sFSQVBH6TlhH9ubWzTuw4GDQ0e6prVjCsK4Quq\n0BHEZOnacHyoSMWWNgJBqnHaOXgyaWkThno4ghFOyCuz6de/pNnRwBzzdMzLjL2/CXC74ZFH4He/\ng5//vONCdrDJitbponiMiaDV3tGJOH8UQeV/aP23GjJHEbJ6OzwDVB124nMp6MwG3PU+JBtIErS2\nhI2MhCZUIDhNymhcZbkOh2ML6ekzOljqB5us4SSsXcIwHBku9e+JOF/DJba+UloKs2bB2rXw/vvw\nwgvRk9ZIXAZjBnfd+Rx33Lqae5a/TME9NxPUqig7vomaN97i7HUnCbz9MZIpvW+W+p6GcJKqN4eT\nVrUeZHt4xzUtLyExdxdbfr4Rc5aJEzXZhHwmLrtieJQJD4Rkux/7g4hNMNyQ5Vqczq2n5ubkS1pT\n+b5L1dh6iisQCrD5wIe4HFbmm2agt8m9PucoCvztb3DWWVBVBbs3ubllwT5UntO+ChHDpWCLHUmr\nwXLnf3fwoVCPKoCsMYTscpdngDbZiyuIxqgCCRRAQgI6bjil6jUDEVuyIjSuMdCTc3B797aR7MDa\nV0by+TpxAu69N2y89OSTcPXV4VXPvmAwZjDmrHOBU87BlVtIdwY415GHxpxJyO7CfMtVSDptr5b6\nGPPberdizINz7wa/I5y0DmKZMNBmEBGtn6tAIBD0hHAOFgwV0SRPEefgrNx8ppqno9h6X0iuqAib\nL1VUwB/+ABfOdlF74/002Jyos0wUvvoYqswMJL2OrCXX0PLUH1D8fuyvvtOhYi1iqtjeqThCe/d7\nS76O399TjtwSQJ+tYVKJ+N4IBO1Jao2roii43eUEAi2YTPNQq6PbhSuyL+ofC0F0Rtr5crth5Up4\n/vmwAdOPfgRpvTvPR8UhO9hatZUJlglMSh8be9l1u96tg52sCgQjCaFxHThd5+YQbvdeAgEbJtN5\nqNXJXaUhSC6iSZ4cSjhpnWiZyKTsSb0+53i98MtfwjPPwH33wd23+VA7rPgr62hYsRp1mp5gq8yo\nX63AcO40oGN/1oH0WBfeDQJBCmlcA9X1qHMtKFpVm3Nwb+6Eg+nAmgqMhPOlyD4CjVbe+iiHFQ9o\nWLgQdu2CMWNiP2a9q55ddbsoGVVCoakQoNsV1l5p17s1kXicPqoOOymeYhITpEAgGDCnnYNVwjlY\nMCh03l3tLHmqrvycfVR3cA7u6Tnn738PcuedUFIisWOHirEFpxNhRatFcbjx1TWhykhDWzyq7X3x\nqlgT3g0CQfckncbVtmYtzc/9HntTKSpVGpmZ56XExDiS698V2Uegur7b/qfxRpF9lK5YzwXnB3ji\nJ3b++Hs/f/pT/5PW9nEdsx5jT/0e5o2eR6GpEFkOUFnpwIeqT73ghgKP08cLt+7g7QcP8cKtO/A4\nT5//kXw/JjMiNsFQEgx6sNs/Ra3OwGSaK+bmYU4yxtb5eSGyu2pbsxbrs2+gyD427NsTTiDtLk6a\nW9kfOMl5xeedbncTkMFRGf43Yff8ymNNHN1dydXfDHDDDX5mzixn9uwtFBQEOiTCitWO4fwSMr5y\nAcaL56P4A21jG4oe66mEiC05ERrXXlCyVbjZTa7nXDLyS4Z6OIIBMtguxg0N8JO7A7z37he5/8s7\n+c4ZO8mZ9m0gth1mRVHY17iPRncjC8cuxKg1IssBVq4sw2r1YrEYOjQPH05UHXbic4TQZajxOYJU\nH3WJVV6BQBATfr8Vp/Mz4RwsSBjtnxdI05N+yXzUWZldDCUlnZasO/6b3Uc2Y5NaOT9tGhnSKefg\n9q79Bgtyyb089sQOPnrPy/aD53PzVzdx3Xf85OQZsFplGhtbGZ13eidVXZiLGgnF6Y66qzoSKtYE\ngqEk6TSuFU/filF1JvlLbxuWu1iC/hEvTUhv+P3w3DMBHntC4rvfCbIs/01M3uYBJcuBUIAdtTsI\nhoLMKZqDVq0FoLLSwapVn2E267HbZZYvn9t9E/FIv1Zj/qBrWSM7rj5HCF2miqUvin5xgpGH0LgO\nHEmSlObm9WRknINON6r3NwgEMRB5XkCvw/XW+6gyM1DlZJI2rwTF422bz4NaFdtrthPy+Zj09iFU\nNs/puV6uh+2rwq79sp23qu7h1ruzMOsbuOCcD/jZfx/hjQOXYvXoOiw8t9fEAiPKB0QgGApSRuNa\neM0P0eePE38sUoTBcDFevx7uuSfEOPNxPnnqTaad6UeZeQ9BW2vME4834GVr1VayDFnMKJqBSjpd\ndZ+fb8RiMbTtuObldeP01Gnll7krBjV5be9kKEwgBALBQBDOwYJEE3le8B08jhIMhJ8dHG6Ml8xH\nO6YAdU4WXlWQspObsaRZmMY47Ladp3djG+rRZMigM9FQF+S+393I/+0q5osXH6JQ+hvZ6a0UjzGz\n4htfoNEa7OCk33knVeyqCgRDQ9JpXFM1aR2p9e+J1IQcPgxXXBG2sn/y4Wb+9djzTDtDBq8VKWiP\nWXtq99rZcGIDVXuqmFkws0PSCqdbyCxfPrfnMuH2/Vq91rCL8CATMYHonLSO1Psx2RGxCYaKVE1a\nU/m+S7bYIs8L2ffdjHbyOEIuD+osE/ppE9EU5eNQWtl4ciNVe6ooGVWCJi+7TeuqshhQH/8twe1r\neHHdXKb/4CFyzpjOgYMqXvvjFO795Q9Y8eT30S9cgT7dSHGxaVhKfJLtmvUHEVtyIjSuvWB99o2E\n6yAFg0u8NSEOBzz6KLzyStjG/q23QK/OhG2W07ubaXkxHbu9c/ChykPdvk6v13RfHhyhfb/WAYyp\nO2Q5QEODh/x847CcgAUCgUAg6A+SXofujPEUvf44vqOV6CaNQZWZQZ2rjt11u5lZMJODlQfbXtvm\n7K9zsuPtdSx9Zgk6tcx/3mtkxvxTZk1oKB6fA+QMWVwCgaBvJJ3GtfH+ZxKmgxQkN6EQvPoqPPAA\nfPnL8PjjUFDQ7gUD7I16zHqMIy1HmFM0B0uaJT6DTlC/1mQxiBIIhhqhcR04nfu4CgSDSYW1gqMt\nR5k7ei5Zhq5yI6sVfnp/kLf/0soT33+XG752BNV5A5fm+GUvzpYmTNm5aPWiV7FAEE9SRuOaKB2k\nILnZsgWWLQO1Gt55B+bOjfKiGHujRpyDmzxNbc7BcSNB/VobGjxYrV7MZj1Wq5fGxtbed4AFAoFA\nIEgSFEWhvKGcltYWFo1dRJo2rdPv4fXXYcUK+PrX1ew/oCU77QuQdtWAklaP08eJfS0cOLYDH5Cu\nh8suv1gkrwLBIJB0GtdULRMW9e+xUVMD118PV10V1rJ++mk3SWuMBEIBttVsw+VzsXBMx6R1OF+z\niEGU3S73bBDVDcM5toEiYktOUjk2wfAlle+7ZI4tEApQVl2G2+9m4diFp5PWgEzpP/7Cvt0+Fi+G\nZ54JL2a/+CJk559aKB5g0vrCrTv426Ofs/9dE1pFwi2D09ocn8B6IZmvWW+I2JIToXHthVRMWgX9\nx+uF1avh6adhyRI4dAgyMuL8Ge2dg0fN6GLCNBzwelw0VlWQVzwRg/H0CYgYRDU2tnZwRhQIBAKB\nIJlp9bdSVl2GJc3CjPwZSNKpasKAjOvjVbz4tJ7/7PTz0MMSt96uRa2O32ef7n+uw+vx09KkoqA4\niMki9LECwWCQdBrXZBqvIP4oSnj1dPlyKCmBp56CSZPi/zl2r52y6jImWCYwOXty/D8gDng9Ln69\n5k7sXgdmQybLbnu2Q/IqEAh6R2hcB46YmwWDRWRunpQ9iYmWiW3/X1Hgr39s4p571SyedZInv/8W\no770g75LcfrYU719/3NthorvPFpIfvEoUSYsEMSZlNG4CpITRfYRbLKizrXEvGu+bx/cfXe4PPil\nl+CSS+I8yFO0dw4uNBUm5kPiQGNVBXavA5PehN3roKnmOMWTpw/1sAQCgUAgiDvtnYMLMk47Lx45\nEpYKnTyZzesPvs6F03b1z6m/Hz3VRf9zgWBoGX61jyOUVK5//+j9D7A++wa2NWuxPvsGiuzr1/ut\n1rDx0uLF4b6su3YlLmk9Zj3Gnvo9zBs9r9ekdaivWV7xRMyGTJyyE7Mhk9yi8XE79lDHlkhEbMlJ\nKscmGL6k8n031LEpso9AdX2fngkqrBXsrd/LecXntSWtXi889BDMnw8XXQQ7d6q4cMm1lLYu6DH5\n7Iy3uYKq2iN4pbQ+9VTvrv/5YDDU1yyRiNiSE6FxFfSJeOxgDhYhu5OQ1YnKnEHI6iTYbOtTO6Ng\nEF5+OTwxffObcOAA5OYmZowDdQ4eiuthMGaw7LZnaao5Tm7ReFEmLBAIBIKkQJF9WJ99I/xsYDF1\na7ypKAp7G/ZibbV2cA5evx7uuENh5lQ3Ze/ZmTArD0mnA/Rg7Ht7Oa/Hxa9ffwK3fz9Z2v0snXsZ\nhjj3VBcIBPEj6TSuIa+cNAlboujrH/zhQizjLS2Fu+4CiyXsCjhzZuLGFwgF2F6zHQWF2YWz0aq1\n/Xp/+/gkk5HMb1+Gpih/WF8TgUAQRmhcB47QuAr6S6C6HtuateEFbbuLrNuv7bKgHQgF+KzmMyQk\nZhfNRqPSUFkJ99wDO3cqPHvrH7lIep1QqwY57Uosd97U73m38vM9vPiXhzHpjThlK0uveZjiM2fH\nM1SBQBADKaNxTaaELVEEm6wx7WAOFZJeh+XO6wg221DnZPV4zU6cgHvvhW3b4Mkn4eqrQUrgI2U8\nnIMj10NKT6O19DMCdc1oi/Pje3/20ThCIBAIBIJEEa/qInWuBZXF1PY8p87J6vD7zs7BgYDEk0/D\nypVwxx3w+vPV6Mo2IO9WozL4wVYX07NQRHITNjnMI3fMmTHHJBAIEk/SaVw7J2ypQn9qxNv+4Ntd\nUf/gDzdKS0uR9LoedyHdbvj5z2HWLJgxI1wWfM01iU1a7V47G05soDizmJkFM/udtEauWeR6BOub\nUSQFTX72gO5Pr8dF5ed78Hpc4f8RkPFuWEndO8/i3bAynMQmGKHHSE5EbAJBfEnl+66/sUWqi2L1\nq2hPZEE76/Zruyzy2rw2Np7cyBjzGEpGlbBhg8S558J//gObN4flQ2k5eaiyCpEMQUJeLWQVtD0L\n9TUuv+zFY7ex9PtPsfTah5PCmV/cj8mJiC1+JN2Oa08rdCOF/uxgDncUBdauhfvug4ULw8ZLY8Yk\n6MPa7VrWe21xcw6OXI9AbSOOP69Hcbpjvj+jtbgJ2Rr44JVM3K1FpKe5uHRqDcbCCQMas0AgEAgE\n/SHe1V6RBe32tHcOltwF3HADfPRRuG/7VVe1W8zW6JHOv6CAwDcAACAASURBVB/DWdUEPVqM+aN6\nfBbq3PPcL3tZ/48PccuQrofLLr9YtLQRCJKA5NS4NttQZRgJOd1Jp3VNJlOlRLNzZ9gt2O0O61gv\nuCCBH9bO7r4ipHB0zKXMGbMAS5olrh+jyL4BLSic1tuYcMpOll77MB5bDtse/yfpaS7crRnMu/9y\npswu6P1gAoGgV4TGdeAIjevIINH+GkdbjlJhrWBWwVzWvprFgw/CTTeFq7FMptiPG21B2GO38X7p\nHow6CY9P4UsXzSS7YHTcYhEIBAMjZTSukl6HOicrKbWuyWaqlCgaG+GBB+Ddd+GRR+B73wO1OsEf\n6mlAaW1hX8BHk7uBhblnYBxA0trdAkS0FeT+0FFvE25xExql4++GqeBshYw0Rp+RHfPxBQKBQCCI\nhURVe7V3DjY0LuLL307DaAzvtE6PoTV5593VaD3PR42ZTLoe3LJCuh5Mlpy4xCIQCBJL0mlcIXq5\nSjLQ07iTpf69P33XIkRi8/vD5T5nnQXp6XDwINxyyyAkrUDAkE2Z7MHV2sLC/LMxZo6N+ViRBYh/\nrHh0wDqfzkRa3LTX2xhNOm59cS5XPDyLW1+cOyi945LlfowFEVtyksqxCYYvqXzfxRJbb34V/SUQ\nCrC1eiv1La38v5ULuebKNJYtg48/jj1pvWv51bz4l4f59Zo78XpcUXuea/UGLrv8Yr500cykKhMW\n92NyImKLH0m34wq9u9ENV5J13BEGsmO8fn3Ywn7cOPjkE5g2LcGDbYc34GVrzWdkldzCDNMoVMZR\nA3Lmbe8inAhXZ4Mxg+LJHWfsSMNzgUAgEAiGknhJnlr9rWyp2srGD7J57uczuOqbEgcOhNvgxUpj\nVQVun4cx2lxqXHVUH93PpBnzovY81+oNojxYIEgykk7jGhnvQLWEQ0Wyjhv61netM4cPww9/GN5d\nXb0aLr88sU7BnbF77ZRVlzHRMpFJ2ZMGdKzIZK0ypWN7+c0RX/ItEKQCQuM6cITGdeQQL8mTzWvj\nLxu38ZtfTgLrRNasgblzBz4+r8fFqmdvY7NzL4oCCzJL+OGdzw97t2CBQNCRlNG4RhiolnCoSNZx\nQ/92jB0OePRReOWVsGPwW2+BfpDbj0bcCePhHNx5ss5acg0hlyduCxB+2YujvgZjUIOhqEAkwgKB\nQCAYdsTDWfhwbS0/+dUePvrzTB79cQFLlvRdMtRZv9oZgzGDb//XbdT/9RfkpWXj9rtoqjnepYpJ\nIBAkJ0mpcU1FkqH+vae+axFCIfj972Hq1LAJU3k5zJtXOuhJa4W1gr31ezmv+LwBJ63QdbIOuTxs\n/Hx/3JLW9e/9H+v/+in/fPtfND77Wlx1s7GQDPdjrIjYkpNUjk0wfEnl+y6W2AbSR15R4Nk3jrLg\nG+XoGuZzYFsBS5f2L2n99Zo7O+hXo3G0xsrojFG0+lvbNK2pgrgfkxMRW/xI2h1XQewMRJ/S047x\nli3h9jZqNbzzzumyn4MHBzrivqMoCuUN5TS3NrNo7CLStGmxH6vdeUqkPtnZ0oTLHcIQ9OLVGHG1\nNJAdZ92sQCAQCAQDJVZn4UOfh7h5RTm1Viv/7/FFXHpR/+Zmr8fF7i3v0+yxYknLanMHjraTqjOk\nRdW0CgSC5CdpNa6C2EhES56aGvjxj+E//4EnnoDrrgPVEOzlB0IBttdsR0FhduFstGptzMeKdp6A\nhOiTIzuujiorhoCHC1CTd+cNolxYIBgEhMZ14Ii5WdAdra3w6ON+nnt7OzfeILHy7tmk6fu3ZxLZ\naW1utXHUW80kfRE5Rkub875AIEg9Uk7jKoiNeOhTIni9YcOlp5+GJUvg0CHIGKI5pNXfSll1GZY0\nC9Pzp6OS+p45R9uB7u48xWMXtPPnafUGLrviEpwNtaQFNRgKR4mkVSAQCARJzT//Cbff3crYBVt5\n6085XDJjOlIM7oyRPqwWg5lJwNUX3MSMeV/EYMzoVfMqEAhSC6FxHSYMVo34QPQpERQF1q2Ds8+G\nrVvD/zz2WPdJa6Jjs3vtbDy5keLMYkpGlfQ7abU++wa2NWs79GTty3nqLi6vx0Xl53ui6m+6+zyt\n3kD2mAmkjR8zLJJWocdITkRsAkF8SeX7LlpssfRq78zJk/DNb8Id99pY8shGfr96LJeWzIgpaQU6\n9GHNScvqkLRG07yOtGuWKojYkhOhcRUklFj1KRH27YO77w6XB7/4Ilx6aYIG2kcG6hzc3c5qrOcp\nMpHavQ7MhswupUzx3PEWCAQCgSBeDFRK5POFq7CefBJuvrOWmx/dw9yxMynIKBjQuAzGjKia1chO\nrElv6lHzKhAIUgehcRX0CasVHnwQ/vQn+NnPYOlS0MYuIY0LFdYKjrYcZe7ouWQZYjNLirfmt/Lz\nPbz4l4cx6U04ZSdLr324w0SqyD7qVv+exsZK8vLGUHDPzcNih1UgGKkIjevAEXNzahBLr/YIpaVw\n220wbhz86PGjBE0VzBs9D7PBnLDx9rZQLBAIkhehcRXERDAIL78MDz0ULv05cAByc4dgIAEZPA1g\nzEdR6+LmHDzQHejOREqaIhNpZxt+OejjNWkz9owWzFIVdwWvw4BIXAUCgUAweETzdojFPb+uDu69\nFz75BFatDjFlYTk2r5XzRw9sbu4L3e3ECgSC1CUpNa7x0GAMN4Zj/XtpKcyaBWvXwvvvwwsvxJa0\nDji2gAzbVsL2VQS2PkbZyY24/W4WjlkYl4kx0uKnv0lrtLgiE+nSax+OuvrbWFWBw+8kMyMbh99J\nU83xAYw8cQzH+zFeiNiSk1SOTTB8ScX7LlJp9I8Vj3bwWuhLr/YIwSA89xzMmAGjR8PuvX6KzyvD\nG2hl4dj4zM19wWDMoHjy9A5zbSpeswgituRExBY/km7HNRHtXAQdOXEivIK6bVtYq3L11RCjp0J8\n8DSA10qrxkhZw34shYuYPnZhv0yYBpPIRBqN3nZkBQKBQCBIJBGvBSk9rYvXQk+92iNs3RouCzaZ\nwgvcE89oZWv1VnLScpieH5tzcGeEW7BAIIhG0mlc/VV1MWkwopXFCDri8cDKlfD887BsGfzoR5A2\nOIumPROQsW96mLKmg0w0j2XShStBox/qUcWM1+MSpU0CwTBBaFwHjtC4JhexbgC0tMBPfgLvvhte\n1L7uOrDLNrZVb2NS9iQmWibGZXxCuyoQCFJG4xqLBkPs0vaMooTLge+7DxYsgB07YOzYoR7Vaeq8\nVnaPWkDJlKsozJsec9I6XBYvetqRFQgEAoEgkfTX2yEUgldfDSetV18d9rrIyoJaZy176vcws2Dg\nzsHtd1iFW7BAIOiO4Vlr2QP90WBEiNaCZLgxVPXvO3fCF74Q3ml94w3485/jn7QOJLYKawV76/dy\n3rhFFBbOHlDSGq1/6kAQmoXkRMSWnKRybILhSyrcd9F8QSS9jo2f7+/1GWrPnvAzwgsvwD/+Eda1\nZmXB0ZajlDeUM794flyS1vb9WDOz89v6tsYiqUmFa9YdIrbkRMQWP5JuxxX6psFoTyy7tKlOYyM8\n8EC45OeRR+B73wO1eqhHdRpFUeLmHAyif6pAIBAIRh59rTgLOVz4Dp9AN2UcqswMnM5wC7w//jH8\njPD974efEUJKiPKGcqyt1rjMzdC1H6vT1iTcggUCQVSSTuMa63gV2Re3lifJjN8fXjF97DH47nfD\nE1PWMMvjA6EA22u2o6Awu3A2WnXsDWMj5cEqUzq2l98U5eICgaADQuM6cITGdfjSl96sIYeL2hvv\nJ2hzojKb2HjlL7n3pwYuvTRcjZV/6uX+oJ/ttduRkJhdNBuNKj57H0LTKhAIOpMyGtdY6e8ubSqy\nfj3cc0+4Qfgnn8C0aUM9oq60+lspqy7DkmZhev70ATkHd15pzlpyDSGXZ8QvXggEAoFgZNCXijPf\n4RMEbU5OqCZw/ydXYd0Xlg0tWnT6NR6/h7Lqsrg6B0cQ/VgFAkFfSTqNa6qSyBrxw4fhiivgzjvD\nToD/+tfgJq19jc3utbPx5EaKM4spGVUy4HY3ncuDQy5PTP1au0NoFpITEVtyksqxCYYvyX7f9eQL\nEoktMHocq2q+zdc/uYeLR3/O9i2BDkmrzWvj05OfMtY8lhmjZsQ1aY0QrR9rrCT7NesJEVtyImKL\nHyJxTWEcjrBT8PnnwwUXQHk5fPWrQ9yTtRvqXHVsqdrC9PzpTMqeFJdjtq00211x0TZHM7gQCAQC\ngWA4E6k4i7Zo+/e/Q8mCDGrO/iLb/l7Hg59eij7ndPJY66xla9VWZoyaEbd2NwKBQBArI0bjOpII\nheC11+D+++HLX4bHH4eCgZn+JZQKawVHW44yd/RcsgzxFdzGS9ssWioJBKmJ0LgOHDE3Jx8nTsBd\nd8H+/WHfiy99qetrjrYcpcJawbzR8zAbzIM/SIFAMGIZ8RrXkcKWLbBsGahUsG4dzJs31CPqnng7\nB0cjXtpm4UosEAgEgmTH54NVq+Cpp+Duu8M93PWdusyFlBB76/di89oSNjcLBAJBLIhS4WHCQGvE\na2rghhvgqqvCWtZNm4ZP0hottkAoQFl1GW6/m4VjFsY8MXZXvhvvst5oZcdCs5CciNiSk1SOTTB8\nSaX77sMPYeZM2LAByspg0aLSLkmrP+inrLoMb8DLwrGxz81DSSpds86I2JITEVv8EDuuSY7XC6tX\nw9NPw5IlcPAgmExDPaqeiZdzcHflu4ko640YXIiWSgKBQCBIJmpr4d57YeNGeOYZ+PrXw14XJ092\nfF0inYMFAoEgHgiNa5KiKPDOO7B8OcyYEU5cJ/XD0yjS31SdaxnUJMzutVNWXcZEy8QBmzB115+u\nL33rBAKBAITGNR6IuXl4EgjAmjXwi1/ALbfAT38K6enRX2vz2thWvY1J2ZOECZNAIBhyhoXGVZKk\nYuA1YBQQAn6jKMqvJUmyAGuBccBx4FuKotgHc2zJxL59YW1KTQ28+CJcemn/3j9URkN1rjp21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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(1,2, figsize = (16,8))\n", "ax[0].plot(list_of_cs_ni[list_of_depths >= 22], list_of_cs_si[list_of_depths >=22], \n", " '.', color = 'darkblue', alpha = 0.5)\n", "ax[0].plot(list_of_cs_ni[list_of_depths < 15], list_of_cs_si[list_of_depths < 15], \n", " '.', color = 'Crimson', alpha = 0.5)\n", "ax[0].plot(list_of_cs_ni[(22 > list_of_depths) & (list_of_depths >= 15)], \n", " list_of_cs_si[(22 > list_of_depths) & (list_of_depths >= 15)], \n", " '.', color = 'DarkOrange', alpha = 0.5)\n", "ax[0].plot(list_of_cs_ni[(list_of_depths >= 22) & (list_of_lons < -123.5) \n", " & (list_of_lats < 48.6)], \n", " list_of_cs_si[(list_of_depths >= 22) & (list_of_lons < -123.5) \n", " & (list_of_lats < 48.6)], \n", " '.', color = 'DarkOrchid', alpha = 0.5)\n", "ax[0].plot(list_of_cs_ni[(list_of_depths < 15) & (list_of_lons < -123.5) \n", " & (list_of_lats < 48.6)], \n", " list_of_cs_si[(list_of_depths < 15) & (list_of_lons < -123.5) \n", " & (list_of_lats < 48.6)], \n", " '.', color = 'ForestGreen', alpha = 0.5)\n", "ax[0].plot(list_of_cs_ni[(22 > list_of_depths) & (list_of_depths >= 15) \n", " & (list_of_lons < -123.5) & (list_of_lats < 48.6)], \n", " list_of_cs_si[(22 > list_of_depths) & (list_of_depths >= 15) \n", " & (list_of_lons < -123.5) & (list_of_lats < 48.6)], \n", " '.', color = 'CornflowerBlue', alpha = 0.5)\n", "ax[0].plot(np.unique(list_of_cs_ni), \n", " np.poly1d(np.polyfit(list_of_cs_ni, list_of_cs_si, 1))(np.unique(list_of_cs_ni)))\n", "x = np.arange(0,40)\n", "ax[0].plot(x, 2*x, 'g-', alpha = 0.3)\n", "ax[0].plot(x, 2*x+30, 'y-', alpha = 0.3)\n", "\n", "ax[1].plot(list_of_model_ni[list_of_depths < 15], list_of_model_si[list_of_depths < 15], \n", " '.', color = 'Crimson', alpha = 0.5, label = 'surface')\n", "ax[1].plot(list_of_model_ni[(22 > list_of_depths) & (list_of_depths >= 15)], \n", " list_of_model_si[(22 > list_of_depths) & (list_of_depths >= 15)], \n", " '.', color = 'DarkOrange', alpha = 0.5, label = 'intermediate')\n", "ax[1].plot(list_of_model_ni[list_of_depths >= 22], list_of_model_si[list_of_depths >=22], \n", " '.', color = 'darkblue', alpha = 0.5, label = 'deep')\n", "ax[1].plot(list_of_model_ni[(list_of_depths < 15) & (list_of_lons < -123.5) \n", " & (list_of_lats < 48.6)], \n", " list_of_model_si[(list_of_depths < 15) & (list_of_lons < -123.5) \n", " & (list_of_lats < 48.6)], \n", " '.', color = 'ForestGreen', alpha = 0.5, label = 'Juan de Fuca surface')\n", "ax[1].plot(list_of_model_ni[(22 > list_of_depths) & (list_of_depths >= 15) \n", " & (list_of_lons < -123.5) & (list_of_lats < 48.6)], \n", " list_of_model_si[(22 > list_of_depths) & (list_of_depths >= 15) \n", " & (list_of_lons < -123.5) & (list_of_lats < 48.6)], \n", " '.', color = 'CornflowerBlue', alpha = 0.5, label = 'Juan de Fuca intermediate')\n", "ax[1].plot(list_of_model_ni[(list_of_depths >= 22) & (list_of_lons < -123.5) \n", " & (list_of_lats < 48.6)], \n", " list_of_model_si[(list_of_depths >= 22) & (list_of_lons < -123.5) \n", " & (list_of_lats < 48.6)], \n", " '.', color = 'DarkOrchid', alpha = 0.5, label = 'Juan de Fuca deep')\n", "ax[1].plot(np.unique(list_of_model_ni), \n", " np.poly1d(np.polyfit(list_of_model_ni, \n", " list_of_model_si, 1))(np.unique(list_of_model_ni)))\n", "x = np.arange(0,40)\n", "ax[1].plot(x, 2*x, 'g-', alpha = 0.3, label = 'slope = 2')\n", "ax[1].plot(x, 2*x+30, 'y-', alpha = 0.3, label = '2*N + 30')\n", "ax[0].set_title('DFO', fontsize = 16)\n", "ax[1].set_title('Model', fontsize = 16)\n", "for ax in ax:\n", " ax.grid('on')\n", " ax.set_ylabel('Si', fontsize = 14)\n", " ax.set_xlabel('N', fontsize = 14)\n", " ax.set_ylim(0,95)\n", " ax.set_xlim(0,37)\n", "plt.legend(loc=2);" ] }, { "cell_type": "code", "execution_count": 47, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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IFCSV6iKZ7CQUWnveJkxSOcq1ldPKWuzq2UWgOsDG5o3nbcIkIuJF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\ndz49fJqj/UfZ2Lwxbae1WD9TxWoXiG2FitiWPQrOA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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(1,2, figsize = (16,8))\n", "ax[0].plot(list_of_cs_ni, list_of_cs_si, \n", " '.', color = 'darkblue', alpha = 0.5)\n", "x = np.arange(0,40)\n", "ax[0].plot(x, 2*x, 'g-', alpha = 0.3)\n", "ax[0].plot(x, 2*x+30, 'y-', alpha = 0.3)\n", "\n", "ax[1].plot(list_of_model_ni, list_of_model_si, \n", " '.', color = 'Crimson', alpha = 0.5)\n", "x = np.arange(0,40)\n", "ax[1].plot(x, 2*x, 'g-', alpha = 0.3, label = 'slope = 2')\n", "ax[1].plot(x, 2*x+30, 'y-', alpha = 0.3, label = '2*N + 30')\n", "ax[0].set_title('DFO', fontsize = 16)\n", "ax[1].set_title('Model', fontsize = 16)\n", "for ax in ax:\n", " ax.grid('on')\n", " ax.set_ylabel('Si', fontsize = 14)\n", " ax.set_xlabel('N', fontsize = 14)\n", " ax.set_ylim(0,95)\n", " ax.set_xlim(0,37)\n", "plt.legend();" ] }, { "cell_type": "code", "execution_count": 48, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Feb-Mar\n", "bias = -3.69452279727\n", "RMSE = 4.80834232806\n", "Willmott = 0.867216440311\n", "April\n", "bias = -0.657459850107\n", "RMSE = 10.6338215866\n", "Willmott = 0.711665491177\n", "May-Jun-Jul\n", "bias = -11.4706578963\n", "RMSE = 13.6341073791\n", "Willmott = 0.546648479975\n", "Sep-Oct\n", "bias = -2.29981816243\n", "RMSE = 4.95627885936\n", "Willmott = 0.823269218703\n" ] }, { "data": { "image/png": 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ASdJh2c+pJGvp/4mF6pZde9T48jJFQo2yokJZ0Vn0oQXQLQ0NDaqtrVVVVRUb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\nkiRJkiRJqhMXYCVJkiRJkiSpTv4HpLjCnZAxWoUAAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig,ax=plt.subplots(1,4,figsize=(24,6))\n", "ii=(list_of_depths < 15)&(list_of_datetimes<=dt.datetime(2015,4,1))\n", "ax[0].plot(list_of_cs_si[ii], list_of_model_si[ii], \n", " '.', color = 'Crimson', alpha = 0.5, label = 'surface')\n", "ax[0].set_title('Feb-Mar')\n", "print('Feb-Mar')\n", "print('bias = ' + str(-np.mean(list_of_cs_si[ii]) + np.mean(list_of_model_si[ii])))\n", "print('RMSE = ' + str(np.sqrt(np.sum((list_of_model_si[ii] - list_of_cs_si[ii])**2) /\n", " len(list_of_cs_si[ii]))))\n", "xbar = np.mean(list_of_cs_si[ii])\n", "print('Willmott = ' + str(1-(np.sum((list_of_model_si[ii] - list_of_cs_si[ii])**2) / \n", " np.sum((np.abs(list_of_model_si[ii] - xbar) \n", " + np.abs(list_of_cs_si[ii] - xbar))**2))))\n", "ii=(list_of_depths < 15)&(list_of_datetimes<=dt.datetime(2015,5,1))&(list_of_datetimes>dt.datetime(2015,4,1))\n", "ax[1].plot(list_of_cs_si[ii], list_of_model_si[ii], \n", " '.', color = 'Crimson', alpha = 0.5, label = 'surface')\n", "ax[1].set_title('April')\n", "print('April')\n", "print('bias = ' + str(-np.mean(list_of_cs_si[ii]) + np.mean(list_of_model_si[ii])))\n", "print('RMSE = ' + str(np.sqrt(np.sum((list_of_model_si[ii] - list_of_cs_si[ii])**2) /\n", " len(list_of_cs_si[ii]))))\n", "xbar = np.mean(list_of_cs_si[ii])\n", "print('Willmott = ' + str(1-(np.sum((list_of_model_si[ii] - list_of_cs_si[ii])**2) / \n", " np.sum((np.abs(list_of_model_si[ii] - xbar) \n", " + np.abs(list_of_cs_si[ii] - xbar))**2))))\n", "\n", "ii=(list_of_depths < 15)&(list_of_datetimes<=dt.datetime(2015,9,1))&(list_of_datetimes>dt.datetime(2015,5,1))\n", "ax[2].plot(list_of_cs_si[ii], list_of_model_si[ii], \n", " '.', color = 'Crimson', alpha = 0.5, label = 'surface')\n", "ax[2].set_title('May-Jun-Jul')\n", "print('May-Jun-Jul')\n", "print('bias = ' + str(-np.mean(list_of_cs_si[ii]) + np.mean(list_of_model_si[ii])))\n", "print('RMSE = ' + str(np.sqrt(np.sum((list_of_model_si[ii] - list_of_cs_si[ii])**2) /\n", " len(list_of_cs_si[ii]))))\n", "xbar = np.mean(list_of_cs_si[ii])\n", "print('Willmott = ' + str(1-(np.sum((list_of_model_si[ii] - list_of_cs_si[ii])**2) / \n", " np.sum((np.abs(list_of_model_si[ii] - xbar) \n", " + np.abs(list_of_cs_si[ii] - xbar))**2))))\n", "\n", "ii=(list_of_depths < 15)&(list_of_datetimes<=dt.datetime(2015,12,1))&(list_of_datetimes>dt.datetime(2015,9,1))\n", "ax[3].plot(list_of_cs_si[ii], list_of_model_si[ii], \n", " '.', color = 'Crimson', alpha = 0.5, label = 'surface')\n", "ax[3].set_title('Sep-Oct')\n", "print('Sep-Oct')\n", "print('bias = ' + str(-np.mean(list_of_cs_si[ii]) + np.mean(list_of_model_si[ii])))\n", "print('RMSE = ' + str(np.sqrt(np.sum((list_of_model_si[ii] - list_of_cs_si[ii])**2) /\n", " len(list_of_cs_si[ii]))))\n", "xbar = np.mean(list_of_cs_si[ii])\n", "print('Willmott = ' + str(1-(np.sum((list_of_model_si[ii] - list_of_cs_si[ii])**2) / \n", " np.sum((np.abs(list_of_model_si[ii] - xbar) \n", " + np.abs(list_of_cs_si[ii] - xbar))**2))))\n", "\n", "for ii in range(0,4):\n", " ax[ii].plot(np.arange(0,35), color = 'grey')" ] }, { "cell_type": "code", "execution_count": 49, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "DFO slope = 1.35535794713\n", "DFO y int = 12.2843009586\n", "model slope = 1.42007330626\n", "model y int = 7.3695760825\n" ] } ], "source": [ "m1, b1 = np.polyfit(list_of_cs_ni, list_of_cs_si, 1)\n", "print('DFO slope = ' + str(m1))\n", "print('DFO y int = ' + str(b1))\n", "m2, b2 = np.polyfit(list_of_model_ni, list_of_model_si, 1)\n", "print('model slope = ' + str(m2))\n", "print('model y int = ' + str(b2))" ] }, { "cell_type": "code", "execution_count": 50, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "(-40, 40)" ] }, "execution_count": 50, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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T0Zl3nzlqVu4t5cp/+QDr/vhedldeOutsdiKBUIDd3rs57Xgau6Vu1qRwCyUt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\nL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S6QpDqS9UwAlcsFlcwE1Z42Pxe4JiKC4vn130op/bR0vtv1EbECeJLi1WRJKa2JiOuB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\nXC5XsdeQJElFWc4Ft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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(1,2,figsize = (17,8))\n", "iii=(list_of_datetimes>dt.datetime(2015,2,1))\n", "cols=('crimson','orangered','darkorange','gold','chartreuse','green','lightseagreen','cyan',\n", " 'lightskyblue','blue','mediumslateblue','blueviolet','darkmagenta','fuchsia')\n", "for ii in range(2,12):\n", " iii=(list_of_datetimes>=dt.datetime(2015,ii,1))&(list_of_datetimes" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(1,2,figsize = (17,8))\n", "iii=(list_of_datetimes>dt.datetime(2015,2,1))\n", "cols=('crimson','orangered','darkorange','gold','chartreuse','green','lightseagreen','cyan',\n", " 'lightskyblue','blue','mediumslateblue','blueviolet','darkmagenta','fuchsia')\n", "for ii in range(2,12):\n", " iii=(list_of_datetimes>=dt.datetime(2015,ii,1))&(list_of_datetimes" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(1,2,figsize = (17,8))\n", "iii=(list_of_datetimes>dt.datetime(2015,2,1))\n", "cols=('crimson','orangered','darkorange','gold','chartreuse','green','lightseagreen','cyan',\n", " 'lightskyblue','blue','mediumslateblue','blueviolet','darkmagenta','fuchsia')\n", "for ii in range(2,12):\n", " iii=(list_of_datetimes>=dt.datetime(2015,ii,1))&(list_of_datetimes