{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "import pandas as pd\n",
    "from netCDF4 import Dataset, num2date, date2num\n",
    "from pandas.tseries.offsets import DateOffset\n",
    "import json\n",
    "from scipy.optimize import minimize\n",
    "from scipy.stats import pearsonr\n",
    "import scipy.stats as stat\n",
    "import os\n",
    "from scipy.stats.kde import gaussian_kde\n",
    "from mpl_toolkits.basemap import Basemap\n",
    "from matplotlib.patches import Polygon\n",
    "from matplotlib.collections import PatchCollection\n",
    "import glob, sys\n",
    "import matplotlib.dates as mdates\n",
    "import pickle\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "root=\"\"\n",
    "#root=\"/work/orange/\"\n",
    "\n",
    "import formatplot\n",
    "import functions_rainfall as fun\n",
    "#from functions_loaddata import loaddata\n",
    "formatplot.myformat(\"neat\")\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "import statsmodels.formula.api as sm\n",
    "def fillmonthly(_data):\n",
    "    _data=_data.copy(deep=\"all\")\n",
    "    _outdata=_data.copy(deep=\"all\")\n",
    "    keys=_data.keys()\n",
    "    keys2 = [w.replace('-', '_') for w in keys]\n",
    "    _data.columns=keys2\n",
    "    for i,key in enumerate(keys2):\n",
    "#        print key\n",
    "        for index,row in _data.iterrows(): #iterating through rows\n",
    "            if np.isnan(row[key]):         #if missing value for current key\n",
    "                cm=index.month             #current month\n",
    "                mdata=_data[_data.index.month==cm] #all data for given month\n",
    "                selkeys=keys[~np.isnan(row[keys])] #dropping ones that have no data for current month\n",
    "                selkeys=selkeys[selkeys!=key] #dropping current key\n",
    "                corrs=mdata.corr()[key]            #correlations\n",
    "                selcorrs=corrs[selkeys].nlargest(5)\n",
    "                selkeys=selcorrs.keys() #selecting 5 largest correlations\n",
    "                selkeys=selkeys[selcorrs>0.6] #limiting only to correlations >0.6\n",
    "                if len(selkeys)>0: #if there are stations that correlate - gapfill\n",
    "                    formula=key+\"~\"\n",
    "                    for k in selkeys:\n",
    "                        formula=formula+\"+\"+k\n",
    "                    lmod=sm.ols(formula=formula, data=mdata).fit()\n",
    "                    pred=lmod.predict(row[selkeys]).values[0]\n",
    "                    _outdata[keys[i]][index]=pred\n",
    "                else:\n",
    "                    print key, index\n",
    "    return _outdata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def neumannpval(_nt, _stat):\n",
    "    _vals=[]\n",
    "    _nsamp=10000\n",
    "    for r in range(_nsamp):\n",
    "        _x=stat.norm.rvs(size=_nt)\n",
    "        _x=(_x-_x.mean())/_x.std()\n",
    "        _sk=(np.diff(_x)**2).sum()/_nt\n",
    "        _vals=_vals+[_sk]\n",
    "    return float(np.sum(np.array(_vals)<_stat))/_nsamp\n",
    "\n",
    "def buishandpval(_nt, _stat):\n",
    "    _vals=[]\n",
    "    _nsamp=10000\n",
    "    for r in range(_nsamp):\n",
    "        _x=stat.norm.rvs(size=_nt)\n",
    "        _x=(_x-_x.mean())/_x.std()\n",
    "        _sk=_x.cumsum()\n",
    "        _sk2=_sk/(_nt**0.5)\n",
    "        _R=np.max(_sk2)-np.min(_sk2)\n",
    "        _vals=_vals+[_R]\n",
    "    return float(np.sum(np.array(_vals)>_stat))/_nsamp\n",
    "    \n",
    "def buishand(tsref, ts):\n",
    "    #make sure no nans\n",
    "    sel=np.invert((np.isnan(tsref)) | (np.isnan(ts)))\n",
    "    tsref=tsref[sel]#.cumsum()\n",
    "    ts=ts[sel]#.cumsum()\n",
    "#    plt.plot(tsref, ts)\n",
    "    x=ts/tsref\n",
    "    x=(x-x.mean())/x.std()\n",
    "    nt=len(x)\n",
    "    sk=x.cumsum()\n",
    "    sk2=sk/(nt**0.5)\n",
    "    R=np.max(sk2)-np.min(sk2) #no need to divide by std because std is 1\n",
    "    pval=buishandpval(nt, R)\n",
    "    lw=1\n",
    "    col=\"grey\"\n",
    "    if pval<0.01:\n",
    "        lw=3\n",
    "        col=\"black\"\n",
    "    plt.plot(sk2, lw=lw, color=col)\n",
    "        \n",
    "    return R, pval, pval<0.01\n",
    "\n",
    "def neumann(tsref, ts):\n",
    "    #make sure no nans\n",
    "    sel=np.invert((np.isnan(tsref)) | (np.isnan(ts)))\n",
    "    tsref=tsref[sel]#.cumsum()\n",
    "    ts=ts[sel]#.cumsum()\n",
    "#    plt.plot(tsref, ts)\n",
    "    x=ts/tsref\n",
    "    x=(x-x.mean())/x.std()\n",
    "    nt=len(x)\n",
    "    sk=((x.diff()**2).sum()/nt)/x.std()\n",
    "    pval=neumannpval(nt, sk)    \n",
    "    return sk, pval, pval<0.01 #this is different than buishand. Expected value is 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def loaddata(dset):\n",
    "    import functions_rainfall as fun\n",
    "    import pandas as pd\n",
    "    import numpy as np\n",
    "    \n",
    "    reg=\"ext\"\n",
    "    root=\"\"\n",
    "\n",
    "    if reg==\"east\":\n",
    "        bnds=[18.8,19.3,-34.3,-33.3]\n",
    "        region=\"WCWSS dam region\"\n",
    "    elif reg==\"west\":\n",
    "        bnds=[18.31,18.8,-34.4,-33.3]\n",
    "        region=\"Coastal region\"\n",
    "    elif reg==\"all\":\n",
    "        bnds=[18.31,19.3,-34.4,-33.3]\n",
    "        region=\"Cape region\"\n",
    "    elif reg==\"south\":\n",
    "        bnds=[17.0,20.0,-35,-32.5]\n",
    "        region=\"WCWSS dam region\"\n",
    "    else:\n",
    "        bnds=[17,20.2,-34.4,-30.3]\n",
    "        region=\"Western Cape\"\n",
    "\n",
    "\n",
    "    ext=[17,21,-35,-31] #extent of map\n",
    "\n",
    "    if dset==\"MERGED1981\":\n",
    "        perc=0.9\n",
    "        fy=\"1981\"\n",
    "        ly=\"2018\"\n",
    "        exclude=['BETTY_S_BAY_SPINNEKOPSNES', 'DIE_PLAAT', 'DISAVLEI', 'JONKERSNEK', \"AVALON\"]      \n",
    "        exclude=exclude+[u'LANGEBAAN', u'MERTENHOF', u'AGTERKOP', u'KOEKENAAP'] #buishand and neuman, north?\n",
    "        exclude=exclude+['BOSKLOOF'] #buishand and neuman, south-east\n",
    "        exclude=exclude+[u'Zachariashoek_Wemmershoek_Dam'] #buishand and neuman, south-east\n",
    "        exclude=exclude+[u'GRAAFWATER', u'PUTS'] #both, second round\n",
    "#        exclude=exclude+[\"NUWEBERG\", \"ALTYDGEDACHT\"]\n",
    "#        exclude=exclude+['STEENBRAS_1'] #buishand and neuman, south-east\n",
    "        exclude=exclude+['Tafelberg', 'Higgovale_Cape_Town_Molteno', 'Doorn_Kwaggaskloof_Dam', 'Kogel_Baai_Steenbrasdam-Lower']\n",
    "        \n",
    "#        exclude=exclude+[u'GREYTON', u'ROBBEN_ISLAND', u'TABLE_MOUNTAIN_HOUSE', u'GROOTE_SCHUUR', u'ASHTON', u'MONTAGU', u'MOORREESBURG', u'LANGGEWENS', u'PORTERVILLE', u'REMHOOGTE', u'CERES', u'DE_DOORNS', u'TOUWSRIVIER', u'AGTERKOP', u'LUTZVILLE_HOTEL', u'CALVINIA_BLINKKLIP', u'Roode_Els_Berg_Roode_Els_Berg_Dam', u'Vredendal', u'Kogel_Baai_Steenbrasdam-Lower', u'Tafelberg', u'Vogel_Vallij_Voelvlei_Dam', u'Doorn_Kwaggaskloof_Dam']\n",
    "        timebnds=[fy,ly]\n",
    "        timecoverage=['1981','2018',perc]\n",
    "        timecoverage2=[]\n",
    "        datafile=root+\"/work/data/dws/pr_dws_day_19000101-20180710.nc\"\n",
    "    #    exclude=[\"Tafelberg\"]\n",
    "        pr_day2,ids2,names2,lats2,lons2=fun.readDWS2(datafile, bnds, timebnds, timecoverage, timecoverage2, exclude)\n",
    "    #    pr_day1,ids1,names1,lats1,lons1=fun.readSAWS(bnds, timebnds, timecoverage, exclude) #old dataset\n",
    "        datafile=root+\"/work/data/saws/WC_all_accum-filled_2018.nc\"\n",
    "    #    exclude=[]\n",
    "    #    exclude=['BETTY_S_BAY_SPINNEKOPSNES', 'DISAVLEI', 'JONKERSNEK', 'DIE_PLAAT', 'AVALON']\n",
    "    #    exclude=exclude+['ALGERIA_-_BOS', ]\n",
    "    #    exclude=exclude+[\"LANGEBAAN\", \"OU_MURE\"]\n",
    "    #    exclude=exclude+['DIEPDRIFT','PORTERVILLE']\n",
    "    #    exclude=exclude+['KOEKENAAP', \"WOLSELEY\", \"STETTYNSKLOOF\", \"TABLE_MOUNTAIN_HOUSE\"]\n",
    "        pr_day1,ids1,names1,lats1,lons1=fun.readSAWSonefile(datafile,bnds, timebnds, timecoverage, timecoverage2, exclude) #updated dataset\n",
    "        rangeall=[300,800]\n",
    "        pr_day=pd.concat([pr_day1, pr_day2], axis=1)\n",
    "        lats=np.append(lats1,lats2)\n",
    "        lons=np.append(lons1,lons2)\n",
    "        names=np.append(names1,names2)\n",
    "        ids=np.append(ids1,ids2)\n",
    "        \n",
    "\n",
    "\n",
    "\n",
    "#    sel=ids!=\"0021825_W\" #paarl\n",
    "    #names[sel]=\"PAARL1\"\n",
    "#    pr_day=pr_day.iloc[:,sel]\n",
    "##    names=names[sel]\n",
    "#    lats=lats[sel]\n",
    "#    lons=lons[sel]\n",
    "#    ids=ids[sel]\n",
    "\n",
    "    nstat=len(names)\n",
    "    #print names\n",
    "    #print pr_day.shape\n",
    "    suffix=dset+\"_\"+fy+\"-\"+ly+\"_\"+reg\n",
    "\n",
    "    print \"Station selection criteria:\"\n",
    "    print \"dataset: \"+dset\n",
    "    print str(perc*100)+\"% of daily data available in the period of \"+timecoverage[0]+\" to \"+timecoverage[1]\n",
    "    print \"Lat-Lon range:\", bnds\n",
    "    print \"selected: \"+str(nstat)+\" stations\"\n",
    "    print names\n",
    "    print\n",
    "\n",
    "    return pr_day, names, lats, lons, ids, nstat, suffix, fy, ly"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "functions_rainfall.py:18: UserWarning: WARNING: missing_value not used since it\n",
      "cannot be safely cast to variable data type\n",
      "  data=ncdset.variables['pr'][:]\n",
      "functions_rainfall.py:18: RuntimeWarning: invalid value encountered in greater\n",
      "  data=ncdset.variables['pr'][:]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Station selection criteria:\n",
      "dataset: MERGED1981\n",
      "90.0% of daily data available in the period of 1981 to 2018\n",
      "Lat-Lon range: [17, 20.2, -34.4, -30.3]\n",
      "selected: 64 stations\n",
      "[u'SIMONSTOWN' u'RONDEVLEI' u'STEENBRAS_1' u'STEENBRAS_11'\n",
      " u'STEENBRAS_111' u'BETTY_S_BAY_HEROLD_PORTER' u'NUWEBERG' u'RUSTFONTEIN'\n",
      " u'TUSSENBEIDE' u'BOONTJIESKRAAL' u'GREYTON' u'BLYDSKAP' u'ROBBEN_ISLAND'\n",
      " u'WOODHEAD_DAM' u'TABLE_MOUNTAIN_HOUSE' u'MOLTENO' u'GROOTE_SCHUUR'\n",
      " u'ALTYDGEDACHT' u'STELLENBOSCH' u'VRUGBAAR' u'STETTYNSKLOOF' u'BELLEVUE'\n",
      " u'KWAGGASKLOOFDAM' u'MCGREGOR' u'RHEBOKSKRAAL' u'ASHTON' u'HOPEFIELD'\n",
      " u'DARLING' u'MOORREESBURG' u'PORTERVILLE' u'REMHOOGTE' u'CERES'\n",
      " u'BOKVELDSKLOOF' u'WARMBOKVELD' u'DE_DOORNS' u'TOUWSRIVIER'\n",
      " u'JAN_DE_BOERS' u'PIKETBERG-SAPD' u'EENDEKUIL' u'MIDDELDEURVLEI'\n",
      " u'KROMRIVIER' u'LAMBERTSBAAI' u'ELANDSFONTEIN' u'ALGERIA_-_BOS' u'REENEN'\n",
      " u'LUTZVILLE_HOTEL' u'VANRHYNSDORP' u'BULSHOEK_DAM' u'SANDVLEI'\n",
      " u'KANOLVLEI' u'KREITZBERG' u'VONDELINGSFONTEIN' u'CALVINIA_BO-DOWNES'\n",
      " u'DE_HOOP' u'DROEKLOOF' u'NUWERUS' u'NIEUWOUDTVILLE_SAPD'\n",
      " u'CALVINIA_BLINKKLIP' u'Haweqwas_Stateforest_Stettynskloof_Dam'\n",
      " u'Assegaaibos_Robertsvlei' u'Roode_Els_Berg_Roode_Els_Berg_Dam'\n",
      " u'Tafelberg_Newlands' u'Thee_Waters_Kloof_Theewaterskloofdam'\n",
      " u'Vogel_Vallij_Voelvlei_Dam']\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#loading data\n",
    "dset=\"MERGED1981\"\n",
    "pr_day, names, lats, lons, ids, nstat, suffix, fy,ly=loaddata(dset)\n",
    "\n",
    "\n",
    "#ind=np.argsort(lats)\n",
    "#for x in zip(names[ind], lats[ind]):\n",
    "#    print x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#screening\n",
    "\n",
    "#rejecting months with fewer than 28 datadays\n",
    "dx_mon=np.invert(np.isnan(pr_day)).resample(\"M\").sum()\n",
    "pr_mon_raw=pr_day.resample(\"M\").sum()\n",
    "pr_mon=pr_day.resample(\"M\").sum()\n",
    "pr_mon[dx_mon<28]=np.nan\n",
    "pr_year=pr_mon.resample(\"A-Oct\").sum()\n",
    "\n",
    "#kicking out years with any missing month in Mar-Oct\n",
    "temp=pr_mon.copy()\n",
    "sel=np.in1d(temp.index.month, [1,2,11,12])\n",
    "temp.iloc[sel,:]=0\n",
    "temp1=pd.DataFrame(np.invert(np.isnan(temp.values)), index=temp.index, columns=temp.keys()).resample(\"A-Oct\").sum()\n",
    "pr_year[temp1<12]=np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gapfill True\n",
      "SIMONSTOWN 2018-10-31 00:00:00\n",
      "RONDEVLEI 2018-10-31 00:00:00\n",
      "STEENBRAS_1 2018-10-31 00:00:00\n",
      "STEENBRAS_11 2018-10-31 00:00:00\n",
      "STEENBRAS_111 2018-10-31 00:00:00\n",
      "BETTY_S_BAY_HEROLD_PORTER 2018-10-31 00:00:00\n",
      "NUWEBERG 2018-10-31 00:00:00\n",
      "RUSTFONTEIN 2018-10-31 00:00:00\n",
      "TUSSENBEIDE 2018-10-31 00:00:00\n",
      "BOONTJIESKRAAL 2018-10-31 00:00:00\n",
      "GREYTON 2018-10-31 00:00:00\n",
      "BLYDSKAP 2013-02-28 00:00:00\n",
      "BLYDSKAP 2018-10-31 00:00:00\n",
      "ROBBEN_ISLAND 2018-10-31 00:00:00\n",
      "WOODHEAD_DAM 2018-10-31 00:00:00\n",
      "TABLE_MOUNTAIN_HOUSE 2018-10-31 00:00:00\n",
      "MOLTENO 2018-10-31 00:00:00\n",
      "GROOTE_SCHUUR 2018-10-31 00:00:00\n",
      "ALTYDGEDACHT 2018-10-31 00:00:00\n",
      "STELLENBOSCH 2018-10-31 00:00:00\n",
      "VRUGBAAR 2018-10-31 00:00:00\n",
      "STETTYNSKLOOF 2018-10-31 00:00:00\n",
      "BELLEVUE 2018-10-31 00:00:00\n",
      "KWAGGASKLOOFDAM 2018-10-31 00:00:00\n",
      "MCGREGOR 2018-10-31 00:00:00\n",
      "RHEBOKSKRAAL 2018-10-31 00:00:00\n",
      "ASHTON 1989-02-28 00:00:00\n",
      "ASHTON 2001-02-28 00:00:00\n",
      "ASHTON 2016-02-29 00:00:00\n",
      "ASHTON 2017-02-28 00:00:00\n",
      "ASHTON 2018-10-31 00:00:00\n",
      "HOPEFIELD 2018-10-31 00:00:00\n",
      "DARLING 2018-10-31 00:00:00\n",
      "MOORREESBURG 2018-10-31 00:00:00\n",
      "PORTERVILLE 2018-10-31 00:00:00\n",
      "REMHOOGTE 2018-10-31 00:00:00\n",
      "CERES 2018-10-31 00:00:00\n",
      "BOKVELDSKLOOF 2018-10-31 00:00:00\n",
      "WARMBOKVELD 2018-10-31 00:00:00\n",
      "DE_DOORNS 2018-10-31 00:00:00\n",
      "TOUWSRIVIER 2016-02-29 00:00:00\n",
      "TOUWSRIVIER 2017-02-28 00:00:00\n",
      "TOUWSRIVIER 2018-02-28 00:00:00\n",
      "TOUWSRIVIER 2018-10-31 00:00:00\n",
      "JAN_DE_BOERS 2018-10-31 00:00:00\n",
      "PIKETBERG_SAPD 2018-10-31 00:00:00\n",
      "EENDEKUIL 2018-10-31 00:00:00\n",
      "MIDDELDEURVLEI 2018-10-31 00:00:00\n",
      "KROMRIVIER 2018-10-31 00:00:00\n",
      "LAMBERTSBAAI 2018-10-31 00:00:00\n",
      "ELANDSFONTEIN 2018-10-31 00:00:00\n",
      "ALGERIA___BOS 2018-10-31 00:00:00\n",
      "REENEN 2018-10-31 00:00:00\n",
      "LUTZVILLE_HOTEL 2018-10-31 00:00:00\n",
      "VANRHYNSDORP 2018-10-31 00:00:00\n",
      "BULSHOEK_DAM 2018-10-31 00:00:00\n",
      "SANDVLEI 2018-10-31 00:00:00\n",
      "KANOLVLEI 2018-10-31 00:00:00\n",
      "KREITZBERG 2018-10-31 00:00:00\n",
      "VONDELINGSFONTEIN 2018-10-31 00:00:00\n",
      "CALVINIA_BO_DOWNES 2018-10-31 00:00:00\n",
      "DE_HOOP 2018-10-31 00:00:00\n",
      "DROEKLOOF 2018-10-31 00:00:00\n",
      "NUWERUS 2018-10-31 00:00:00\n",
      "NIEUWOUDTVILLE_SAPD 2018-10-31 00:00:00\n",
      "CALVINIA_BLINKKLIP 2018-10-31 00:00:00\n",
      "Haweqwas_Stateforest_Stettynskloof_Dam 2018-10-31 00:00:00\n",
      "Assegaaibos_Robertsvlei 2018-10-31 00:00:00\n",
      "Roode_Els_Berg_Roode_Els_Berg_Dam 2018-10-31 00:00:00\n",
      "Tafelberg_Newlands 2018-10-31 00:00:00\n",
      "Thee_Waters_Kloof_Theewaterskloofdam 2018-10-31 00:00:00\n",
      "Vogel_Vallij_Voelvlei_Dam 2018-10-31 00:00:00\n"
     ]
    }
   ],
   "source": [
    "#gapfilling on monhtly basis\n",
    "gapfill=True\n",
    "print \"gapfill\", gapfill\n",
    "\n",
    "prf_mon=fillmonthly(pr_mon)\n",
    "prf_year=prf_mon.resample(\"A-Oct\").sum()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Homogeneity tests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#calculating derived indices\n",
    "prf_seas=prf_mon.resample(\"Q-Nov\").sum()\n",
    "prf_seasclim=prf_seas.groupby(prf_seas.index.month).mean()\n",
    "\n",
    "pr_yearstd=(pr_year-pr_year.mean())/pr_year.std()\n",
    "prf_yearstd=(prf_year-prf_year.mean())/prf_year.std()\n",
    "prf_seasstd=(prf_seas-prf_seas.mean())/prf_seas.std()\n",
    "\n",
    "prf_climstd=prf_mon.groupby(pr_mon.index.month).aggregate(lambda x: x.mean()/x.std())\n",
    "prf_clim=prf_mon.groupby(pr_mon.index.month).mean()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SIMONSTOWN RONDEVLEI"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/wolski/anaconda3/envs/py2/lib/python2.7/site-packages/ipykernel_launcher.py:7: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  import sys\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " STEENBRAS_1 STEENBRAS_11 STEENBRAS_111 BETTY_S_BAY_HEROLD_PORTER NUWEBERG RUSTFONTEIN TUSSENBEIDE BOONTJIESKRAAL GREYTON BLYDSKAP ROBBEN_ISLAND WOODHEAD_DAM TABLE_MOUNTAIN_HOUSE MOLTENO GROOTE_SCHUUR ALTYDGEDACHT STELLENBOSCH VRUGBAAR STETTYNSKLOOF BELLEVUE KWAGGASKLOOFDAM MCGREGOR RHEBOKSKRAAL ASHTON HOPEFIELD DARLING MOORREESBURG PORTERVILLE REMHOOGTE CERES BOKVELDSKLOOF WARMBOKVELD DE_DOORNS TOUWSRIVIER JAN_DE_BOERS PIKETBERG-SAPD EENDEKUIL MIDDELDEURVLEI KROMRIVIER LAMBERTSBAAI ELANDSFONTEIN ALGERIA_-_BOS REENEN LUTZVILLE_HOTEL VANRHYNSDORP BULSHOEK_DAM SANDVLEI KANOLVLEI KREITZBERG VONDELINGSFONTEIN CALVINIA_BO-DOWNES DE_HOOP DROEKLOOF NUWERUS NIEUWOUDTVILLE_SAPD CALVINIA_BLINKKLIP Haweqwas_Stateforest_Stettynskloof_Dam Assegaaibos_Robertsvlei Roode_Els_Berg_Roode_Els_Berg_Dam Tafelberg_Newlands Thee_Waters_Kloof_Theewaterskloofdam Vogel_Vallij_Voelvlei_Dam"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/wolski/anaconda3/envs/py2/lib/python2.7/site-packages/pandas/plotting/_converter.py:129: FutureWarning: Using an implicitly registered datetime converter for a matplotlib plotting method. The converter was registered by pandas on import. Future versions of pandas will require you to explicitly register matplotlib converters.\n",
      "\n",
      "To register the converters:\n",
      "\t>>> from pandas.plotting import register_matplotlib_converters\n",
      "\t>>> register_matplotlib_converters()\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "prf_yearstddet=prf_yearstd.copy()\n",
    "for key in prf_yearstd.keys():\n",
    "    print key,\n",
    "    yvar=prf_yearstd[key].values\n",
    "    xvar=np.arange(len(yvar))\n",
    "    res=fun.trend_CI(xvar, yvar, trendtype=\"TheilSen\", n_boot=1000, autocorr=\"analytical\", CItype=\"analytical\")\n",
    "    prf_yearstddet[key][:]=yvar-res['trend']\n",
    "plt.plot(prf_yearstddet[key])\n",
    "plt.plot(prf_yearstd[key])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "ename": "SystemExit",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "An exception has occurred, use %tb to see the full traceback.\n",
      "\u001b[0;31mSystemExit\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/wolski/anaconda3/envs/py2/lib/python2.7/site-packages/IPython/core/interactiveshell.py:2886: UserWarning: To exit: use 'exit', 'quit', or Ctrl-D.\n",
      "  warn(\"To exit: use 'exit', 'quit', or Ctrl-D.\", stacklevel=1)\n"
     ]
    }
   ],
   "source": [
    "sys.exit()\n",
    "rejectB=[]\n",
    "rejectN=[]\n",
    "rejectC=[]\n",
    "for st in names:\n",
    "    print st\n",
    "    test=buishand((pr_yearstd[fy:ly]).mean(1)+1000, (pr_yearstd[fy:ly])[st]+1000)\n",
    "    if test[2]:\n",
    "        print \"B\", test\n",
    "        rejectB=rejectB+[st]\n",
    "    test=neumann((pr_yearstd[fy:ly]).mean(1), (pr_yearstd[fy:ly])[st])\n",
    "    if test[2]:\n",
    "        print \"N\", test\n",
    "        rejectN=rejectN+[st]\n",
    "    test=np.sum(np.isnan(pr_year[st]))>0.2*len(pr_year[st])\n",
    "    if test:\n",
    "        print \"C\", st, test, np.sum(np.isnan(pr_year[st])), len(pr_year[st])\n",
    "        rejectC=rejectC+[st]\n",
    "print \"rejecting Buishand:\", rejectB\n",
    "print \"rejecting Neumann:\", rejectN\n",
    "print \"rejecting Count:\", rejectC"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## summary plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plotting\n",
    "formatplot.myformat(\"neat\")\n",
    "\n",
    "fig=plt.figure(figsize=(8,4))\n",
    "pl=plt.subplot(1,1, 1)\n",
    "\n",
    "fpyr=fy\n",
    "lpyr='2018'\n",
    "\n",
    "pl.plot(pr_yearstd[fpyr:lpyr])\n",
    "pl.set_ylabel(\"total annual\\n rainfall [mm]\")\n",
    "\n",
    "pl.set_title(dset+\" \"+fy+\"-\"+ly)\n",
    "pl.set_xlim(fpyr+\"-01-01\", \"2018-01-01\")\n",
    "xticks=pd.date_range(fpyr+\"-01-01\", \"2018-01-01\", freq=\"10A\")\n",
    "pl.set_xticks(xticks)\n",
    "fig.subplots_adjust(left=0.15, right=0.95, top=0.9, bottom=0.1, hspace=0.7, wspace=0.1)\n",
    "plt.savefig(\"../figures_trend/summary1_\"+suffix+\".png\")\n",
    "plt.show()\n",
    "\n",
    "\n",
    "fig=plt.figure(figsize=(10,8))\n",
    "pl=plt.subplot(3,1,1)\n",
    "#pl = fig.add_subplot(4,1, 4)\n",
    "pl.plot(pr_day[fpyr:lpyr].index, np.invert(np.isnan(pr_day[fpyr:lpyr].values)).sum(1))\n",
    "pl.set_ylabel(\"n of stations \\n reporting \\ndaily\")\n",
    "pl.set_xlim(fpyr+\"-01-01\", \"2018-10-01\")\n",
    "xticks=pd.date_range(fpyr+\"-01-01\", \"2018-01-01\", freq=\"A\")\n",
    "pl.set_xticks(xticks)\n",
    "pl.set_xticklabels(xticks, rotation=90)\n",
    "pl.xaxis.set_major_formatter(mdates.DateFormatter('%Y'))\n",
    "pl.set_title(dset+\" \"+fy+\"-\"+ly)\n",
    "\n",
    "pl=plt.subplot(3,1,2)\n",
    "pl.plot(pr_mon[fpyr:lpyr].index, np.invert(np.isnan(pr_mon[fpyr:lpyr].values)).sum(1))\n",
    "pl.set_ylabel(\"n of stations \\n reporting \\nmonthly\")\n",
    "pl.set_xlim(fpyr+\"-01-01\", \"2018-10-01\")\n",
    "xticks=pd.date_range(fpyr+\"-01-01\", \"2018-01-01\", freq=\"A\")\n",
    "pl.set_xticks(xticks)\n",
    "pl.set_xticklabels(xticks, rotation=90)\n",
    "pl.xaxis.set_major_formatter(mdates.DateFormatter('%Y'))\n",
    "pl.set_title(dset+\" \"+fy+\"-\"+ly)\n",
    "\n",
    "pl=plt.subplot(3,1,3)\n",
    "pl.plot(pr_year[fpyr:lpyr].index, np.invert(np.isnan(pr_year[fpyr:lpyr].values)).sum(1))\n",
    "pl.set_ylabel(\"n of stations \\n reporting \\nannually\")\n",
    "pl.set_xlim(fpyr+\"-01-01\", \"2018-10-01\")\n",
    "xticks=pd.date_range(fpyr+\"-01-01\", \"2018-01-01\", freq=\"A\")\n",
    "pl.set_xticks(xticks)\n",
    "pl.set_xticklabels(xticks, rotation=90)\n",
    "pl.xaxis.set_major_formatter(mdates.DateFormatter('%Y'))\n",
    "pl.set_title(dset+\" \"+fy+\"-\"+ly)\n",
    "\n",
    "fig.subplots_adjust(left=0.15, right=0.95, top=0.9, bottom=0.1, hspace=0.7, wspace=0.1)\n",
    "plt.savefig(\"../figures_trend/summary2_\"+suffix+\".png\")\n",
    "plt.show()\n",
    "\n",
    "prf_mon.to_csv(\"./data/prf_mon\"+dset+\".csv\")\n",
    "\n",
    "pr_yearstd.to_csv(\"./data/pr_yearstd\"+dset+\".csv\")\n",
    "pr_year.to_csv(\"./data/pr_year\"+dset+\".csv\")\n",
    "prf_year.to_csv(\"./data/prf_year\"+dset+\".csv\")\n",
    "prf_yearstd.to_csv(\"./data/prf_yearstd\"+dset+\".csv\")\n",
    "\n",
    "\n",
    "\n",
    "with open(\"./data/data_\"+dset+\".pkl\", \"w\") as outf:\n",
    "    pickle.dump([prf_yearstd,lats,lons], outf)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Individual stations time series\n",
    "Total annual rainfall plotted, original data in grey, screened data in blue. Additionally, count of data days on monthly basis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "ename": "SystemExit",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "An exception has occurred, use %tb to see the full traceback.\n",
      "\u001b[0;31mSystemExit\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "sys.exit()\n",
    "formatplot.myformat(\"neat\")\n",
    "\n",
    "fig=plt.figure(figsize=(10,nstat))\n",
    "fpyr=fy\n",
    "fpyr='1900'\n",
    "lpyr='2018'\n",
    "n=0\n",
    "nn=int(np.ceil(nstat/2.))\n",
    "\n",
    "for key in pr_mon.keys():\n",
    "    n=n+1\n",
    "    if n==1:\n",
    "        plt.legend(fontsize=9)\n",
    "    pl=plt.subplot(nn,2, n)\n",
    "    pl.plot(pr_mon_raw[fpyr:lpyr][key].resample(\"A-Oct\").sum(), color=\"gray\", alpha=-.5, label=\"raw\")\n",
    "    pl.plot(pr_mon.resample(\"A-Oct\").sum()[fpyr:lpyr][key], label=\"screened by month\", color=\"red\")\n",
    "    pl.plot(pr_year[fpyr:lpyr][key], label=\"screened by year\", color=\"blue\")\n",
    "    pl.plot(prf_year[fpyr:lpyr][key], label=\"filled\", color=\"black\", lw=0.4)\n",
    "    \n",
    "    pl.set_xlim(fpyr+\"-01-01\", \"2020-01-01\")\n",
    "    xticks=pd.date_range(fpyr+\"-01-01\", \"2020-01-01\", freq=\"2A\")\n",
    "    pl.set_xticks(xticks)\n",
    "    pl.set_title(key, y=0.9)\n",
    "    pl.set_ylabel(\"[mm]\")\n",
    "    pl2 = pl.twinx()\n",
    "    pl2.plot(dx_mon[key], \"o\", markersize=2, color=\"tan\")\n",
    "    pl2.grid(False)\n",
    "    pl2.set_ylim(0,100)\n",
    "    pl2.set_yticks([0,30])\n",
    "    pl2.set_xlim(fpyr+\"-01-01\", \"2018-01-01\")\n",
    "    pl2.set_ylabel(\"days/month\")\n",
    "plt.suptitle(dset+\" \"+fy+\"-\"+ly)\n",
    "fig.subplots_adjust(left=0.05, right=0.9, top=0.95, bottom=0.05, hspace=0.5, wspace=0.4)\n",
    "plt.savefig(\"../figures_trend/allstations_ts_\"+suffix+\".jpg\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cluster stations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plotsimplemap():\n",
    "#    m=Basemap(projection='merc',resolution='i', lat_0=-30,lon_0=17.5, llcrnrlat=-35.1,urcrnrlat=-31, llcrnrlon=17.5, urcrnrlon=21.0,epsg = 4269)\n",
    "    m=Basemap(projection='merc',resolution='i', lat_0=-30,lon_0=18.5, llcrnrlat=-35,urcrnrlat=-31, llcrnrlon=17.8, urcrnrlon=20.3,epsg = 4269)\n",
    "    m.fillcontinents(color='0.8', lake_color='white', zorder=0)\n",
    "#    m.readshapefile(root+\"/work/data/gis/southafrica/bigsix2d\", \"dams\")\n",
    "#    patches   = []\n",
    "#    for info, shape in zip(m.dams_info, m.dams):\n",
    "#        patches.append( Polygon(np.array(shape), True) )\n",
    "#    pl.add_collection(PatchCollection(patches, facecolor= 'deepskyblue', edgecolor='deepskyblue', linewidths=1.))\n",
    "#    m.arcgisimage(service = 'World_Shaded_Relief', xpixels = 500, verbose= False)\n",
    "#    m.drawparallels(np.arange(-36.,-20.,0.5), labels=[0,0,0,0], dashes=[1,1], linewidth=1, color='0.4')\n",
    "#    m.drawmeridians(np.arange(15, 22., 0.5), labels=[0,0,0,0], dashes=[1,1], linewidth=1, color='0.4')\n",
    "\n",
    "    \n",
    "    return m\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "#clustering\n",
    "from sklearn.cluster import FeatureAgglomeration\n",
    "X0=prf_yearstd.values\n",
    "temp=X0.mean(0)\n",
    "X=X0[:,~np.isnan(temp)]\n",
    "n_clusters=3\n",
    "\n",
    "ward1=FeatureAgglomeration(n_clusters, linkage='ward').fit(X)\n",
    "clu=ward1.labels_\n",
    "\n",
    "cols=[\"red\",  \"blue\", \"black\", \"orange\", \"white\", \"green\"]\n",
    "printcols=[]\n",
    "for i in clu:\n",
    "    printcols=printcols+[cols[i]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SIMONSTOWN red\n",
      "RONDEVLEI red\n",
      "STEENBRAS_1 red\n",
      "STEENBRAS_11 red\n",
      "STEENBRAS_111 red\n",
      "BETTY_S_BAY_HEROLD_PORTER red\n",
      "NUWEBERG red\n",
      "RUSTFONTEIN red\n",
      "TUSSENBEIDE black\n",
      "BOONTJIESKRAAL black\n",
      "GREYTON black\n",
      "BLYDSKAP black\n",
      "ROBBEN_ISLAND red\n",
      "WOODHEAD_DAM red\n",
      "TABLE_MOUNTAIN_HOUSE red\n",
      "MOLTENO red\n",
      "GROOTE_SCHUUR red\n",
      "ALTYDGEDACHT red\n",
      "STELLENBOSCH red\n",
      "VRUGBAAR red\n",
      "STETTYNSKLOOF blue\n",
      "BELLEVUE black\n",
      "KWAGGASKLOOFDAM red\n",
      "MCGREGOR black\n",
      "RHEBOKSKRAAL black\n",
      "ASHTON black\n",
      "HOPEFIELD red\n",
      "DARLING red\n",
      "MOORREESBURG red\n",
      "PORTERVILLE red\n",
      "REMHOOGTE red\n",
      "CERES red\n",
      "BOKVELDSKLOOF red\n",
      "WARMBOKVELD red\n",
      "DE_DOORNS red\n",
      "TOUWSRIVIER red\n",
      "JAN_DE_BOERS red\n",
      "PIKETBERG-SAPD red\n",
      "EENDEKUIL red\n",
      "MIDDELDEURVLEI red\n",
      "KROMRIVIER red\n",
      "LAMBERTSBAAI blue\n",
      "ELANDSFONTEIN blue\n",
      "ALGERIA_-_BOS red\n",
      "REENEN blue\n",
      "LUTZVILLE_HOTEL blue\n",
      "VANRHYNSDORP blue\n",
      "BULSHOEK_DAM blue\n",
      "SANDVLEI blue\n",
      "KANOLVLEI blue\n",
      "KREITZBERG blue\n",
      "VONDELINGSFONTEIN blue\n",
      "CALVINIA_BO-DOWNES blue\n",
      "DE_HOOP blue\n",
      "DROEKLOOF blue\n",
      "NUWERUS blue\n",
      "NIEUWOUDTVILLE_SAPD blue\n",
      "CALVINIA_BLINKKLIP blue\n",
      "Haweqwas_Stateforest_Stettynskloof_Dam red\n",
      "Assegaaibos_Robertsvlei red\n",
      "Roode_Els_Berg_Roode_Els_Berg_Dam red\n",
      "Tafelberg_Newlands red\n",
      "Thee_Waters_Kloof_Theewaterskloofdam black\n",
      "Vogel_Vallij_Voelvlei_Dam red\n",
      "South-East\n",
      "South-West\n",
      "North\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plotting clusters on a map\n",
    "fig=plt.figure(figsize=(7,7))\n",
    "pl = fig.add_subplot(1, 1, 1)\n",
    "m=plotsimplemap()\n",
    "pl.scatter(lons,lats, color=printcols, s=50, zorder=5)\n",
    "#m.readshapefile(\"./wcape_regions\", \"regions\", linewidth=2, color=\"grey\")\n",
    "\n",
    "for i in range(len(lons)):\n",
    "    print names[i], printcols[i]\n",
    "#    pl.text(lons[i], lats[i], names[i][0:4], size=8)\n",
    "\n",
    "regdefs={\"South-East\":(19.3,20.2,-34.9,-33.8), \"North\":(17.9,20.2,-32.3,-31.1), \"South-West\":(17.9,19.3,-34.9,-32.3)}\n",
    "cmap = plt.cm.get_cmap('jet', n_clusters)\n",
    "\n",
    "legenddefs={\"South-East\":(19.3,-34.8), \"North\":(18,-31.4), \"South-West\":(18,-34.8)}\n",
    "\n",
    "regnames=[\"South-West\", \"North\", \"South-East\"]\n",
    "regseq=[1,0,2]\n",
    "\n",
    "for reg in regdefs:\n",
    "    print reg\n",
    "    ll=regdefs[reg]\n",
    "    x1,y1 = m(ll[0],ll[3])\n",
    "    x2,y2 = m(ll[0],ll[2])\n",
    "    x3,y3 = m(ll[1],ll[2])\n",
    "    x4,y4 = m(ll[1],ll[3])\n",
    "    if reg==\"South-West\":\n",
    "        x3a,y3a = m(20.2,-33.8)\n",
    "        x3b,y3b = m(20.2,-32.3)\n",
    "        x4a,y4a = m(19.3,-33.8)\n",
    "        poly = Polygon([(x1,y1),(x2,y2),(x3,y3),(x4a,y4a),(x3a,y3a),(x3b,y3b)],facecolor='none',edgecolor='0.4',linewidth=2, alpha=1)\n",
    "    else:\n",
    "        poly = Polygon([(x1,y1),(x2,y2),(x3,y3),(x4,y4)],facecolor='none',edgecolor='0.4',linewidth=2, alpha=1)\n",
    "    plt.gca().add_patch(poly)\n",
    "    pl.text(legenddefs[reg][0],legenddefs[reg][1], reg, fontsize=15)\n",
    "pl.set_title(\"station clusters 1981-2017\", fontsize=14)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 0, 0, 0, 0, 0, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2,\n",
       "       0, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0,\n",
       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 2, 0])"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clu"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "South-West 0\n",
      "38\n",
      "North 1\n",
      "17\n",
      "South-East 2\n",
      "9\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure(figsize=(10,8))\n",
    "import statsmodels.nonparametric.api as npsm\n",
    "\n",
    "for i in range(n_clusters):\n",
    "    clustind=clu==i\n",
    "    pl = fig.add_subplot(n_clusters, 1, i+1)\n",
    "    pl.set_title(regnames[i])\n",
    "    print regnames[i],i\n",
    "    sel=np.where(clu==i)[0]\n",
    "    print len(sel)\n",
    "    pl.plot(prf_yearstd.iloc[:,sel], color=cols[i], alpha=0.2, lw=2)\n",
    "    clumean=prf_yearstd.iloc[:,clustind.flatten()].mean(1)\n",
    "    x_var=range(len(clumean))\n",
    "    temp=dict(npsm.lowess(clumean.values,x_var, frac=0.1, it=5, missing=\"drop\"))\n",
    "    y_pred=np.array(map(temp.get, x_var)).astype(\"float\").reshape(-1,1)\n",
    "    plt.plot(prf_yearstd.index, y_pred, lw=3, color=cols[i])        \n",
    "#    pl.plot(prf_yearstd.iloc[:,clustind.flatten()].mean(1), color=cols[i], alpha=1, lw=2)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "South-West 0\n",
      "North 1\n",
      "South-East 2\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure(figsize=(10,8))\n",
    "import statsmodels.nonparametric.api as npsm\n",
    "\n",
    "prf_SONstd=prf_seasstd[prf_seasstd.index.quarter==4]\n",
    "\n",
    "for i in range(n_clusters):\n",
    "    clustind=clu==i\n",
    "    pl = fig.add_subplot(n_clusters, 1, i+1)\n",
    "    pl.set_title(regnames[i])\n",
    "    print regnames[i],i\n",
    "    sel=np.where(clu==i)[0]\n",
    "    pl.plot(prf_SONstd.iloc[:,sel], color=cols[i], alpha=0.2, lw=2)\n",
    "    clumean=prf_SONstd.iloc[:,clustind.flatten()].mean(1)\n",
    "    x_var=range(len(clumean))\n",
    "    temp=dict(npsm.lowess(clumean.values,x_var, frac=0.1, it=5, missing=\"drop\"))\n",
    "    y_pred=np.array(map(temp.get, x_var)).astype(\"float\").reshape(-1,1)\n",
    "    plt.plot(prf_SONstd.index, y_pred, lw=3, color=cols[i])        \n",
    "#    pl.plot(prf_yearstd.iloc[:,clustind.flatten()].mean(1), color=cols[i], alpha=1, lw=2)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "South-West 0\n",
      "North 1\n",
      "South-East 2\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x216 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure(figsize=(10,3))\n",
    "import statsmodels.nonparametric.api as npsm\n",
    "\n",
    "for i in range(n_clusters):\n",
    "    clustind=clu==i\n",
    "    pl = fig.add_subplot(1, n_clusters, i+1)\n",
    "    pl.set_title(regnames[i])\n",
    "    print regnames[i],i\n",
    "    sel=np.where(clu==i)[0]\n",
    "    x_var=range(12)\n",
    "    pl.plot(x_var, prf_clim.iloc[:,sel]/prf_year.mean()[sel]*100, color=cols[i], alpha=0.2, lw=2)\n",
    "    clumean=prf_clim.iloc[:,clustind.flatten()].mean(1)\n",
    "    temp=dict(npsm.lowess(clumean.values,x_var, frac=0.1, it=5, missing=\"drop\"))\n",
    "    y_pred=np.array(map(temp.get, x_var)).astype(\"float\").reshape(-1,1)\n",
    "#    plt.plot(prf_clim.index, y_pred, lw=3, color=cols[i])\n",
    "    pl.set_ylim(0,25)\n",
    "#    pl.plot(prf_yearstd.iloc[:,clustind.flatten()].mean(1), color=cols[i], alpha=1, lw=2)\n",
    "    if i==0:\n",
    "        pl.set_ylabel(\"percent of annual rainfall [%]\")\n",
    "    else:\n",
    "        pl.set_yticklabels([])\n",
    "    pl.set_xticks(x_var)\n",
    "    pl.set_xticklabels([\"J\",\"F\",\"M\", \"A\", \"M\", \"J\", \"J\", \"A\", \"S\", \"O\", \"N\", \"D\"])\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "ename": "SystemExit",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "An exception has occurred, use %tb to see the full traceback.\n",
      "\u001b[0;31mSystemExit\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "sys.exit()\n",
    "#testing for homogeneity within regions\n",
    "for i in range(n_clusters):\n",
    "    print i\n",
    "    clustind=clu==i\n",
    "    rejectB=[]\n",
    "    rejectN=[]\n",
    "    rejectC=[]\n",
    "    for st in names[clustind]:\n",
    "        print st\n",
    "        test=buishand((prf_year[fy:ly][names[clustind]]).mean(1)+1000, (prf_year[fy:ly])[st]+1000)\n",
    "        if test[2]:\n",
    "            print \"B\", test\n",
    "            rejectB=rejectB+[st]\n",
    "        test=neumann((prf_year[fy:ly][names[clustind]]).mean(1), (prf_year[fy:ly])[st])\n",
    "        if test[2]:\n",
    "            print \"N\", test\n",
    "            rejectN=rejectN+[st]\n",
    "    print \"rejecting Buishand:\", rejectB\n",
    "    print \"rejecting Neumann:\", rejectN\n",
    "    print\n",
    "#    sys.exit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plotgridmap():\n",
    "    m=Basemap(projection='merc',resolution='i', lat_0=-30,lon_0=18.5, llcrnrlat=-35.4,urcrnrlat=-31, llcrnrlon=17.8, urcrnrlon=20.5,epsg = 4269)\n",
    "    m.fillcontinents(color='0.8', lake_color='white', zorder=0)\n",
    "    m.arcgisimage(service = 'World_Shaded_Relief', xpixels = 500, verbose= False)    \n",
    "#    m.drawparallels(np.arange(-36.,-20.,1.), labels=[1,0,0,1], dashes=[1,1], linewidth=0.25, color='0.5')\n",
    "#    m.drawmeridians(np.arange(15, 22., 1.), labels=[1,0,0,1], dashes=[1,1], linewidth=0.25, color='0.5')\n",
    "    m.drawcoastlines(color='0.4', linewidth=1)\n",
    "    return m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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MBhiWydraGkmSUK56DIdDZTfD4ZDT01M6nY4CiA9+8BUe3fsSpZLLaDQGNJIkxXVLmafXMi9f8irMFnO1YYRABhR5vVxmnGgYhrz22mvs7OygaRqtVovDw8MM1C1brVeSJJTLZbWect4wDNFMQ0VwEnHouq7WZrFYMBtPqFar2eYNQ0aTMe1Oh6OjI8pedn3tap1wGbC3t8faxjrHx8c0Gg22trYgTbFMi2UcgYYCdLGPIrDomoah6VdAVWyuCCphEiuQEBqiCEICUsXoWjhMKSq8W4pY5MLkZ8UUUQBKgoDlcnmFVwO48fIHv/IqntyU+XyujF03LYWM7XZbVX/CMMT3fcbjMa7t0Ov1aDQadDodRqMRpVIJx3Go1WrMZlMW/pJ6s4Ft27ilMoZhEoQhXrWMadkkacpkMsH3fdI05ezklFqtllUGloEqFwdxpMr7H/zgB+n3+yptNE1ThfFJklCr1RSndn5+zmKRRXo3b95UqL66unol3xfyejgcYpgGy/xeSOQgiy2bvLj5i2lTkR/SNI30Wqhd9IRyFH9XrILFcUwQBFSrVRaLBZp5mYZK+ifplaZpNBoNFvn75JqKUZ0Qr1EakRo6mmahmSZoGomWXzuAZVIuOTz33C3iMJN9+PMFzU5Wto9IGIxHDAdDbt26xenpqUqxPM8jiLLIdLlcqpRmOp2qtF4i30a7jWWaHB3sM5/PGI9HuG4J13VZLgMl3XDsEmG+aYUOKMovZNNJGm47DmdnZ3ieR6lUYj6fM5lMLtNXw2A8GqvUbDabUS6XGY1G3Lx5U8kD4twmiumPRA5SRZTiiGmazBcLbNvm4uIiS3nDIL/fCYso4M4HXsSyLLprq5md2VlZ3nActHmsUib5PNdBwDBNdC7J52K0ouzOMDB17UoVruikRG5imqaqbl6v4jmOo5xzsbgigYmcUyrhAnZy3fI5xAFIGvl+h/HJT37yPX856p19UryD4hDy30k0dH5+rqp3sonOTs9U2CcRhvBHaZqSpDGlSokwCHBLZUDj9KyHWyqTpjCfL9B0naOj44xTKFdYW1vLIoiFT5okDIdDfN/HzDUWs9mMJ0+eZFW7/MMHQcB8Pqdeq5EmKYPBgOFwmEkhplOq1ary2OIhSqWSWgThmHzfz3RFaGjG5f2QVEV0IAJYRa0RoBZfXpemqYqeimVacQICTsIFyHnEuMSIAIIwpFQuqYqTrJNwh7quMx6PWS6XqpookZRsMjHmMApJuExBUyAFdEMHPde7mBZJHLH/dJ/FfI5lmlSqHrbjkALlSplKpUKn3mIwHJKmKaM8LTdyhzGdTomSWKU/Rd3O2sYGaZJwenpK7+yUtZUVgiCrVg6HI0BjbW2dVqtFuVxh4fuUymV0Q1cbQKqGIqOQlHc8HjMYDEjTVAGagPp0OsWfL9TGkgqkn3OlUvWL4xjTvow+itHDYrFgmH9mkuw8kvKVK9ladHK6ZHd3FzSNGzdvMpvNsRwbf+mTpGBaWUYxmozpnZ1RKpWUfk7soyiLIY/Gr6ddYl8AumGQ5gWXoqOUCnyappTLZQVOxfeKDQvnez16KkaRAkDFa5XjkrqIleMQUGusrP5P74ZB70uSF1l4SfGEN5DNIMIzEZyJjmllZUUtsOgnBKg67U5mqHkkM5vNMEyTsldhOBxycTFgPs+8juu6LINMdFhrt+md96jVagoYNzc3OT09JQgC1tfXieOY3Vu32NjcVN7ZsbPyvniKJMmEgs1mU4GAGJ/wa8K7lPP8P0kSkvSqAK64QAIu17+AK/zO9crJux1FUlaMSaLBarXKLOfiMt1MSemqZMEFXCWMFs6gCLpFYC3qrKKcw0HLgMm0zMy40xSv6lFtNgjDkG63y2w2p1QqMRwOs8KIoStgDMMQL9eQiZNK05SHDx8yGAyoVCoq6hyNRriuy8rmJmmS8KV33uGdL32JO3eeVxGJYWRrlAFTtpEGgwG+7yuHJN5a0ps0TRWQA0wmEwXetm0zn8/RNE0R5P7SZzqd8ujRIyaTSSYJyG1dOL1arUaSJFSrVZU+CuiLrQj3JhGrntuI3Pt2u634ytlsxmw+y4j1OCZOYjQ9cxbn5+e02i0FpnKdYhvXU6qiDOC6DaW5NEKiliI4SMQjdqwqqJp2JRqSgEPeL3YpqZ+Q9HJP5H3XebNi0CP75r2OX5ckl5BZxHZacnmxQRAwHA6V91aEV73O4eGh0pB4nkej0eDu3btZOTZYYto6rVab1fUNfH/J/YePmM99OiurmYrWdbO0ICdXgyDg4cOHWJbFo0ePFOBYlsXt27cVKT6bzeifnRHHMS+88AKLxYIgzJTS6+vr2LbNdDoFLiOb+Xyu+Anhj2zb5vDwkMFgwGAwYGVlBcu2riiQxXgh4ynUTc3DXQFx8TpSUcsWRLuiWr8OTuIB5b3XuSMxnjiKiQspqRye5zGfz694NdM0FeibponjukR5B4BpmlSrNaIoVMplITvLpRJBGDKdTOmdnnJ6fISpGyRJTK/Xo1KrZmCdx9dBEHC4d8RwOMSyLMXLlCpl1tbWlCeez+e4rqtSb8dxeOP+fVzXZXt7m6OjI6ViF7mF67qcnp4ynU5x7BLNVtZlMPcXKh0XZbw4j3feeUdFyDs7O0wmE+I4Vlq18XicFVqaTdIkZWtriyAI6PV6BEGgJAT1el1Fx7PZjEePHvHKK68oQfN4PL7ciKamIjivWqVaq2FaFqVyWQFSqVQiTVLKpRKz2YxqtUqapARh9jc31jdo1GpqHwnYSqQowESSKpAoFlvEUWRyDU1VFyXCmc/nil8WlbhEUwJe4tTG47GKlCRYEbHxYrFQwCNUiTjGYjRXpBXk5+JgfkMAJcZVLF0u5wvleYvaiN/5+7+D84uL9zvds+P/p6PTbvP5X/g3ap2Eh9J1Hd/3syql41CpVBSwNTod/NmMXq+nuK1SqYTpuOi6zmg0Qk/Bny/Yf7JHp9PBNE3lxXv9rJVoc30D26swn814+OQxa1sbHB8dwzyr4pZKJcw4zlpOFnOlpj48OlICRXFCo9GISqXCep7mQcrh3iOiKGSxWKrNs7Gxge/7TMazTIKyXBLlBLCb654gi3aePn2K67rs7OwoFbxU24IgYDAYsLa2RrlcplIqc3Z2proHVlZW8H3/irpaIohyucwLL7yguhyEVFeK9GUWva6urmavr1RYBgGj4RDbzSQGjx8+4oUXXmAynmRE9GxO1fMYD4Z41Sq6pmXVVlCAUnROl0LHS+5N+DYBocViwXQ6peJ56KmhaALh2eSeChkuaR9wJXsS8BfnK0Ak1wZciZTfi1sqSiSKdvpex/sCFKBEf4vFItOS2I5KDwRNm82mKps/O/7tHJLGCUkqhL2E9eJ9JRJ7+403GA6HhGFIs9nEXyzY3dlBTzUeP3jIZDzhQx/6EKZlYukGob/k8GyfwXDA+sYa0/GE1dW1THrQO2M6m/HSB19GMw00NIZHWbm8VCoR5cZcrVaV19/d3WU4HKrKpBD6N55/nv7xMUEQcHDwFN/PgKJc9lhfXydJsk2XEdgVUsAwIkqVrOImLUbiREUT5fs+e3sZ0Pq+r9LLdrutOJdap0OpUuGNX/s1dnd3cctlTt95R3FlIsa1Sy61TodoPuf1119nOBzS6XTU5iuVSlgVTxWGolwDpedRf5TE3Lt3j+21DZbTGcOzc+ySy8rKCnuPH7O+voFrWPj+gqnvgwau63JxcZF3WJQUOGiaBilXIhhJOSeTiZLsmIZBnEf9ck/EZoQKkPdKH6BEUcIXAVcArZgyigRCUuH3iook81DSnfx873W8L0AlSUISRrlmIyRJUnVCST1qtRqLxYLXPvWzimw2TZOq5zGdzjAMnXq9kROGWY6vaRqVRpVOt4tju6BpLIIlhwcHtDodDMOgUW/S751CkjIajRgOh7z4wgt87rXXcO1MT7O7u0uiZemVbds8efJElYIl3+90OoyHI7z859VqlUePH/OP/uW/4M/++e+k262rz3t8fMH/+r/8M/7wt307z926qVJY4X7m8zkx2WevVqv4vq/CePE6lmWpDbBcLhUHUKwoAuhoGIWFkoUTwysKVKWBVCIDaT4NgiCLct1LnqVY7ZEQXUJz8f7iAavVKqenp9RqVeIoYjLO2jDCZYC/WBCFIYv5nMlojGPZjHKuqXd6lvWcrXQ5Pjyk0W7RXVnBsmw0XWM2nTKdTrPPE8c4rku326XXP1dSDdFNaXmUkKRZqjPq9RiPRoyHI2bjKbbjgmag6RpupUK4DEnJrv9icEG73cEplTJCP03RcnCOg4CK5+FVqyzmc5IkYWNzE/LNYBgGnudh2zZHR0domsZyOsZf+IThkkrNo3dyljUsRxHdlS71RiNLrTTQkoRer6d4Tikg6JoO+eaUwontOIynE2r1egYEUaaQ14Clv1Sppm2YhH5AEkaMF5kN9fvnaHmJPk1Tzs7OVNVZ6bGSq1GJ0BZSNTdNE8M0Ib0qQi1KEooUgnBLAlhij2JL0oiuMKJQFS72sv5/OYqV13c73lcHtf/FN9MoCgjjEMwEUh3HvERvqd65rsva2hrn5+dEUUSj3VIhqeM4SnwmF1Qul6lUa6Rk3lD62ITANAyDZqvF5z7zGWpeVel6qtUqrutycnLCxsYGR0dH/J0f/mE+9XP/hmajwb23vsjDu3czD2HZfMcf+kM83T9ge3OTv/u3/xZxru79E3/mz/D5X/tVVleb/N0f/h4++tGX1Gf+oR/8KeK5zvf+rb/N3/87f4vNzU1WNjZ4+ugR5apHqeyp3F666QVIZHHtPAyfzWaqp6qofk7TlHAZ4BaqREWiXZHoGiT5fZb3SWotxiIeTDyfVI4AVVWseB6aVO4ME9M0cOwMMBfzBY8e3qPX69FstKhWs8bVfr9Po9Gg1WpxcXHBZDKh1WplnEEcs76+rhT8wjdKG5JlWSQxSrHdWemyf3TI6uoqy7yaeX5+TqdRx/UqaLpGkMSkcczDew9I/YBKqUwchsyThK/9hq/Hdhx6R0ckSaJkJUEQUKvXSVKI4ixVEPsRrlD6LE1dZzgcqnRFoqyHDx+SJAk7OzvMJwMuzntc9PukeuZ0TMOi2elgWBZe2SNJU1IyDu38rIfneaRJgm1kjeUilA3jFMuxVVO6pDPHx8cqGinZWfP6RU6NvPLKKzx48IDbt29nPa3VKn4YqGimaCPCo+m6Tsl1CZeB2uhSNBA7EuFxol1VfQvICBcrjk8izmIVusglCbgVuwOKEZ3cY1mLYkXv+jlk//yGphkEUdakaVkWlmMCGlp6WdkTTdFsNlNEouu6DIdDRdpJOG5ZlhLplUolLobDPAd20DWdWrXGdDqhd3ZGo9HkaP+AdrvNeDhSzanSq/fyyy9j2zY3b95kslzy+7719/Ddf+kv8+CddxTZ91e/9/v46Ic/xN/7/r/DP/jRH+Nv/sAP8Cf/2B/jx3/6p9l7us8P/d2/Sqvt8F/+ib/MZ3/pR9Rnbneq3H8z69trNptomsbew4e4pRKOaTGfTSFNODg4UK0T4jnCIAMGq0CGKy/H1SqfRDTFiqh0xwsAOa5DlBtM8b2qYJEbhhQzhHOSe2+aJuVy+TK60DSCMCCKNLxaF7fkcn56psh0z/PU9UgDrWmaCmDPzs6yylhBevHGG2+o6FLkHrVanWazxWo+JuX09JSVlRXFNwRBwOrqKhXHptbtcHJ8RLnkctY7xzZMEivFskySJObVV17h7PiYxXyuqlli4LZtE4UhpmVTLpUynsQ00XWDUAtxHYf7T5+yvr5B7+wUyzLZ3t7OhMMXfTRd5+zslKrncXJ8xMn+U3QSDNNgbW2DxdIHNNIkpWQ5uHZ+3y1NCY9HoxGddhtT01X7VbVaZTEYqaq0qOVFviIAmpgWYRzz8OAAAD+K2N3c5MGDB0p0K1TKZDJhdXVVOQuJqCTSFtsREChOvrAsK5ONpJdjhmS/FnvrlsvllQkbUvySyApQ0ZXYnzjIK7qsgr0Xv8u1UrDH9+Offl2AwjBxLAPT1JVnJ0e85XKpxpYYhsHFxYW64OE4E7ad5dW01dVVtWmk+bfZaFAql5lOJlmlJkkwdJ1KuczJcVa9qTiXs5Sk6/yFF17g7r3iZquHAAAgAElEQVR7vPKxj6EFAR/50KsMhyNsO5tXNRqNME2Tf/OLn+Yf//0fplqt8rUf/Qj/1Z/783z3n/pTfOZzn+P3/u7fxdtv7fOn/7t/n9FwwvFxj/X1Lmma8vab++yubQFZ+8Kvvv463/PXv48f/Bvfx4//1E/z85/5LCmwt7/Pd/2RP0wcx/zf/+LHsWyLH/yb30en3VbRTPHmF0FE07J6l+TgotkqyhKUkje92ngp7UfFykhRdyJ/u5gyJmmKLh41TohJefr4Mf3+Of5szjJYsLu7i+8HlAxTbQ6Ao6MjWq0W9XqdSqXC2vo68+mU/f19lWZrWqbOF6J9Op3QaraVTdTrdTVyJs69+/r6OlocMRmN8Gdzmo0mwXzByckJzUYDzTK5ubNNrV4HQ6dWrXJ0dEQQBNTrdWVL2YaK0TCzGmKaKvuRe11yXUpu3p40mzK4uGBvbw9AtdU0mw3qtSrjwQDNMBgPhximyXzhkwLr6xt4eXQZpCErKyusraxmlUXHYXgxYJGngwvfJ0kTJWCWfSFV0Xq9ThiG/OSn/hVv3bvLR3/Lc5TLDp/+1dd47Q2b//D3fjuGnvdLmpejdA4PDxUfJKBQHItSJLCLVTLIIkwnd6hFQAFUFS4IAtUDKcWxYqpWrETL3y5KC4oSmqKgVOxUvsu+KJ7vvY73hy/NQDfMKylGMWcV/Uy5XKZer6syrFRMDMOg0WioaQTiEUQXlcQxg8GA6XRKksRq5Imoe6Xc7/s+rVbGc5yenmKZJsdPnnB4cMBJHjJHUazGtNi2zflFn3IuAtzZ2eG832cymXB8cspXf+SjTEY+P/WTX2Bjc5XDwwxI/+U/f40oTNlaXQXg0ZM9vuevfS/f/9f/Gi+/+CJxFPP08JC/8sm/wI/+vf+Dv/H9P0CtVuMf/OD38+rLH+Cf//hPXKlgFPklWVQQlfOlwE88S1EfpWlZG0vxPdelCtLWUowqxPjE0yn5R8EgkySlWvVUStJutzOAizPZwHA4pJK3p2Rrkxl8rVaDNFXjdho5JyOl+GL/lZS35bMFQUCn01H35O7duzx+/JjTg0MmkwlnJyeZ0rpWA6DieQRhyMJfMJtOVeOs8HuysaSNRSZvnJyc8Pjx44wvjGPuPP88rXbrytBD6R2sVCrZXKb5nI2NDYJ89pKozE3TpOSW2NnZwXVcynmPXLfbzXRTeZ9hEicMLi4YDAbM53POz89pNpqUSiWlm5J0t5r3DP7K669zdH7E//iX/iB/4A9+Pb/33/tq/vxf+A5e+MAa/+T/+ReF1pKMltjc3KTdbuf9iemVplzbspWNSWT+ZRokTVf6L3F+ksKJ7UjqKY5OzlFsHC5qmYoygmI09V7SgmLUdP3973W8bwSVGhpREkOQkKYaaaoTx5eTJMX4x+Mx1Wo1a1NoNEhz9N/Z2VE3ut/vqzx1NptBGhMFPgdPn9BqtSGN8edTxqMR3U4Lr1IhCrKbJN3yUpmRMnEYx4zHY4IwE+aJEa+traFrOp1Oh+VySbvVAlCczXw+59u/+XfyL//Vp3j08Jh//I9+nv/zx36ZarnCv/vxryOKY4ajMX/2L/1l/uEP/G/curHLyckJhqnz8a/+KuLAzys7Lre2Nhj2z7l9Y5f9o2NMHRUmqxaSQs4ui2EYBmYeXstmlmsUQIiDrLFXRHjFxZbFl0mdRSFg0buKM9E0HdPMIjdLs9B1jW63y7LikZL97c2NLU5Pzzg6yvropH3Jq1aZjLMWkMV8jlercXJyQr/fZ3d3V41UOTs7UxGObdtUKhWVXogwUXRYtVqN+XikRrJMhiNc02IeRpQqFTTToNZsEMWJEj4CapyOzBDzPI/JeIRpGvl4kpSSY/HSi8+rJuWDvScE/oxWvcrFYMB0PMSfTfDKXQ72HrPWbfPg3jusrGUavOFgQHdlhfnSp73SpeJ5PD3YJ9x7wng8obPaxrZt1lZWefr0KToafk5vLBYL7Nzel1F2X1ZWVtB0PRsds7dHHMf88he+wH/0n3wj5crVAse3fttX8Rd/6Uc4v7ig0Wjg5Ary0Wik0mrZdwJK8yBUEYw4x6KgOkkSrFz/V+wJFUASwBf7FC5K7EyATIKTom1fJ9XlfUUOrGizAnpFFf9vWAf10//qU/z2T/xWylbWY5R5aJ1SLiyTm3B+fs729jaQqXV1y+Tg4IBarXZl5IZoNHRdZz6dMry4oF716LSbWK7LwZM9VtdWOTo8YjYeYxg2rVZLeSHJheV7r9fj9u3b/OJnPqPA58aNGwCsdLsMhkPWVlfZf/qUTrvN2vo6lVKJx3tPePXlD/Bt3/Tb+aEf+nu8eueD7G5v0W01qVar3H/wkKrnsb25yc/863/N7/qm35a1G+ReNM5L86ZhUimVKLkOlUqJOI6Iw5AkjYniRLVx+PmE0SJI6YChX85oKvY9qbQtF8VKulUUbYoRxnFMq9VSZXAZ41Esfmha1qKjUrwkhhTSNHMyohSXnssPf+Qj+Ll+ZjgcEkQRT548YblcsrK2xsnREbqeNYnbts1gMOALX/hCpmFaX2d7e5skvowgSS+baqVELmNRwiDI72nE2VnGh23f3KXWbBDrUK82ODk+BjISWXRB0udXLpeJgiW1aotgGbC/94TV1VXqnsd8OuGzn/0s6+vrvPzKy3z2F39RbYxGvc50PEbTNKqNBsF8ThBF9Af9rBm57NKoVdAti+N+j1jX2N65wTJYksbZtbYaTVqdDmfHx1m/qevS6XZpt9vouslZ/xzbttWUhn6/T7lcptFsMhiOufXc2pftOcPQuXlrlfuPHmMZBrs3b+DkVVyJTIuEeZqmpFz2xcl6S3VZHJTtOOhhoCgA1QKTRzMi4BTwKvJGEoxIpC7fi+cqpnnFSOs6+AhACWhJgec3BFCW4/Aj/+yf8Qe+5fdg6iaGbuB5FTVKo1KpZBqanHs4PDxUnEqr1VIAJv1JEkk0GnVsQ2PhZ02kruvy+PHjfMNFeNVsQZJYV5t8Op2qxuS7d++qMr7neVQ975JYzj31N/zWj/P3f+RH+ZN/4r/gR//JP+W3ff0nePutt/jYh17lx3/2U/y+b/1WXn/zTWrVKl//tV+b36gsXUjSBNMw+J4/99/zX3/3/8DqygofeeVlHNcmDAI0DZIkBlI2NtZZ6Xb4uc98Fn+xIAwD3FIVw75cIPF2V0LkHHDE+8i9Knot08rKw8UUUKQN8vp6va40PWIgkgIqMlPX8ZcBKSmGJillYd6VgQLKdruNlhufjJCZjsc899xzWXvIdEoYhhkIdLv86i//MltbWyrdLJVKWVd+vXUJkOhEceYt03wDnZ+fk4QB4XJJo1ZjNJlh6Dqvvvoqq7tb9C8uqNeqfOmLb3OSD0hMkoTDw0OSJBtHvLGxQZxrjCzbzCuNTW7evMGbb32RKIrY2dnmzp07fOnNLwIpjmPncpiME7x582Y+cmfGeDHLpAC2RWttJZ9bNaPR7YCW9W/2Bhe0q1VWcrrh+PgYQ9cJ/CVf+zVfo/oeTYus7y5PJV3XZWNj43LMiGkwHs+p1ytftu+Gwxkv39xR8pXDw0PG4zFJkqj9Uqzo6YaBZVzln8Shq2GFcYSWg4FEN8WKngCN8FbXG37FBuX/cRyr15nm5WhfOa5HUu/WLXGd+viKAer2b/ntBOFP8U9+4sf5rt//LdiWS+q4+FHE1PfxbJsHT56yffMmUZpQbdRyvaZOo9FQ55Fo6/z8PCd6AybzBaVSGXSL0WSOW67SbLUIlkuWYcLu7g6j0QjDtgiTmMl8Rq3ZoH98TL3VzBoM2y3+yH/2n/NLn/sVhqMh3/lH/2P+2Hd9F9/09Z/gj/+n38V/82f/HP/wx36M1W6X//m7v5v5fM63fPM38+Y7d/mW/+AP4Louf+Uv/gXiOGY8HmEYGc8iXunmzRv879/71/jj/+2f5g9/53dgmTaW4/DSBz+ceRvLIkhgEUZohoVh2QSJhp1CGsdohomWpGhJ1hxs6QZ6mk16XBZIdOGtpI1F5ATRNU5BwmhJdYWjm+c6n6LOSsBHpmDGeauIbpnKqOxcZuCWXZZBSJwmLADPcWhVKvR75wRhDKlGtIwY9YdEccTKygrD4ZCTL3yBnZ0d1re3+eLrr2PqOmtraxwfn9BstJVDchybOAoVr2aaZrbJZBRKCgtSultbeF6N4ekF/V6Pt371i2hxwvbWNloKd996m8XCxzB0KrbLdDCisVXFsUtc9EY4jkWntcLpcQ/HdOm2GlQqZWZjnzQAG4dgFlJxq0zCCXdefIk333yLm8/dotVZoxQuabXb+MslzXqbhw8e4bouj+69mVWnBwMs22aj0SGJY2qVGuZ2liYZpsn+SdaCE0XZUMadnR2WScJbb72F4zjcunVLSTNefvEFfvZn3uD3f8fXXdlzjx6d0D+fcPPf2aJaqxHkUzlqtRrlcllV32TDF0eWxHGMYZmK79EtE9OxlXZJ7EyKMlKhk15DiaJklLemaap3VaJ6SQsF+ETZLgUfea0AWjE6Eu6r6IhlosV7He+rg/pHP/OF9OWdNj//k/8Xk9GQP/qd34Zu1xhOxpTcMnt7e4RhyEsvvoBtmfh5P5SWl1zlJkp5VUqhw+EQgLW1tSt8Sblc5ujoSI0YlvxUEFoaU33fZ2dnh4cPHyoyfXt7WylnV1ZWWF1d5bXXXsuG6g2G6JqmZjZVKln51zAMOp0OZ2dn1Os1TNOg1+sBsLu7S7/fV+0a8/mcjc1NDMtk7mcixmq1yoMHD3KNS9axHoUhrVpLzRASo5BiQpGALI69EIGr6Jzm8zmmZeGUXPUzMZxiFUTEgHKfxBMKOPi+D3mKJ61LMh6mqKeaLeYkWtZzaZkWcRAyvsiacf3JjCgISOKEOI35yG/5KEeHhyx8n63tbY7z6pJMAEiShBu7t0jTTOeWamA6WTe8lRv4crnM7uV8jus4RGFErVolDiPiKOIiJ5277Wxya5KffzIeq1G98/mc5+7c4UtvvaUAXqpym5ub6n5XPY+DvafMZ3M0XaPVbnH/wQNuP/88o/GIlfU1ojhmOpvRbDXpnZ/TbraUCHNw3qeS26amaXzw1VfpnZ0pzZ/v+5kQEpj72USE0cVAjRqShyTs7OzkwtgaC9/nH/7Tf8rt51f5hm98mXLZ4fXXH/MzP/Vr/NaPfJSv+5qv4uD4iG57RRWpimLdIjktQCBkvHBG81yaIbSI2I5E87I3xZbEWcrMcuGpitVCmWoAVyty1ye5yrmKh0SEVwA1X7fbH/rIuzLl7ztu5c39wSdHoyEf/uAHOTx4yi//2ps8t72OpRvsPX1C1SuzsbFOt9vh+Pg4n80TK9JWNmJx/o+ozwVtZbCafCAxChnjKv1jIk+o1WpqfvPXfM3X0O/32dzc5CDXkgwGAzU+Q40sLpW4c/sO0+lUKb2liiMzumVhhOi/uLhQiN/v9/PpjQGnxyecHB3Tqje46F8QhSH+3Mc2LdrNFlqaVclEayIAVFRzCyjI+eXLNLM0RSImr1oFDVX1lPEpcj8qlYoiLYskpPxbZmkZecRlWzYaUPWqOI5NyXWxLQvTzB6TZeSVOss0iZaBmjmexhkP1mpl1bCjoyzNunnrFk8eP87L9E2ef+klemdnGIbJ9u4NfuVzn6PZbGZEL5dtNqKAj/I2KUPP5BOkmZpcmr4rlQo3n3uOxsoKw9GIYb+vxJiLxYKv+vjH0TSNXj7NwrZtNjY2WF1dVQ3Rvu9nDu32c0xHQxa+z9179/j4Jz6RPWGmUWc0GbO3t8fOzk4uLZgT5mR/FIZ0V7poaZYJyKjiXq+XFWPMbIM5rothmjQ7baaTCaRpRnLntiUaQAGYqudx+/lbnBwP+Mmf+GV+8RfeJlrofPs3fzMbq6vMFwvanXYWXaSXpLdE0cK5iuMqygeE0xT7kM6HYrOwvF7XL+foi7ykOD6lOO5HQEmOYgYgIFqcEXW9OidgWmwkloyg+R7jVt43gvqBn3gj9VwDPZzRrpV5/dM/C+GCb/r4VzMbj1ldW80MsFRmNJ4xGk3RdQ3L1NWjdOTC5QKlK3qxWGQTF/NKQ6/XYzAYqEdKpWnWVS5zfAzDYDQaMR6P6fV6bG5uEkURu7u76LqucvRut6vIu+FwSKPRoF6tMptm86LkaRQywnaxWDAYDNja2sQwdE5OTlSkVZwvJLOhtRRMXVejjgfDgRIq3rxxM0u9HFcR1hImS/QoivpiKbjoAcUTua5LnCZo+YYUDko4NjmK7QlyXvm/AG4m+nSVYdRqtex9SUKlXM4qW5MJQRhw4+ZN+v1+9uQUI9sMWpK36+gGaTYxSvFIMlNruVzS6/Wy1pAw4iMf+ZiaBlGt12i0W9kkibxrfzqdopsGw+GQjfV1LvrZMLc4COif95nNZjz33HNqhMlgMOD8/JwgCNje2ubWrVvcu3+Pfr+PloOxWyrx4osvcnFxQRzHTMYTZvMZSRxj6AbTyQS3VGJ7d4dGvU6Y0w5r62tYpsVs6YOu8fDhQ175wMtZOtbpYGga73zpHbXBZczP8fEx1UYd28meE7iyusKTvT1arRYr7Q624zArPCtR17NHoc3nc7a3t9Edg8V8zsO797MRNI7Lb/tdv5uf+6mfpNFs5hFtSTk66VsUCY9EVKKaF8ASZyZtL/V6XekDi3opcWCiJ5OoVD6nCHiFrlGpY4GPEiATwLqc1nEJYHIUOSxJC+XerD135yuPoH5tf/TJJNVJdItZkNLsrtM/fMje4RHf8IlPsNrt0FhbI1gsmUxnpGiUvTLNRlOlHiJQFI84Ho/p9/tKrNbr9dC0rB/r1q1bqgy9tbWlQsBihanVamVPBMn1HDI9s9ls4nmeEuiJZzg/P2cxz0SCMotHuBp53FG9Xuf8/FwR//J8MrleTdMyctJx8PK0wfO87MaurhEGGfhUq1WSJGE2XyhyvxghSVonwFKMqtI0myBa9ERpCpp+KS0QYBcgKobLRSdwHQA1TcuaRXPgGgwGPLh/n97ZWSb+SxI1iPAi3/Cu62b9YpqWVfmShFK5hGHohGGgogK4Ova20+kwnU0puWWGwyGaplGuVHDL2dTMKE8Pzs/P2dzaxHHdjHdcLjF0Ha/iYeXNzeVymUSDL771Juf9PmEUUfE84jRhb/8pSZoynk7YubFLnKZs7+zwzt279C8uGIyGREmM7TgMRiMsx+b5l17k1Y99FLfkMp3PaDWabGxt8cU33qDZbBLGMc1Wk6OjI7Y2N9nf38/G6RomXqXCO++8k42C2dlhMh5zcHiIv1xyfHLC6uoqpmHS7rRpNpvEYUSt0eDw4IA0TVlfXwfg7bffVk8/mi9mrG/vUC2VSaOYZrXG/bffVrbZarYo5eNQxHaKj0MTCYE4+eJ6FyN1EQGnaaomVxQnGQBKIybpv0Tp0rojtlUs9BSBRzgrieDl/8XIvphiyiGf5b0iqF/30ecpEGMQawaJYfOJb/gdxInGp1/7PI5bIgkCFvM58/mM7BltulI8yygNeSiBgIc8GTiKItrtNt28NCs3WMhdOU9xwmWU99OJQPDWrVuqa1+UthIGyxNStTxNksWSMRsXFxdKvLaxsUG9XldPKRFwmU6nnJ6eZkRiPvzesExMy8KyLQzTwCm51Op13FIp/7l9Ze5OMZwu8kfF6oYYoKTB2eJeGoBERvJdvt5NQyKRkhCihpFNQk2TlDRJcR2HRr1B1asSBgGzaRbVeLlQVs81O0XhaEoGqtO8/3C5XHJycsJgMKDf79Pv9zk6OuL8/Jw4yu7be00c1XWdVquVOTDfx7GdLIUOQ9XHKBMkHz9+rLyuFBAajQbr6+tKZDoejxVYhmFIq9W6Inm4ceMGa2trrKysYJbLPHnyJCOKw4BZ/pSg+/fvqwGLwkt6XiZmnU2zR0O12+1MOrNYZCnh7i7lcpm11dUMTNOUUrlMJZ9/FgWB6hvUdZ3Hjx8rJxgEAfv7+/iTCccHmZOwbZul77O2sqqe7Bzn+0FsWiI4uRfFatx1gWbRVorV4qIdyf6UFFLXs2pl8YGbX4YJ6ZcPXCxq9K6/p8iVFSt48v39hJrvH0E9Ov8kQKpppFqmfg6CiM3NbX7h5z/F87fvsJjOOe+dMp/7bG5vZReXXjZHCmcgg7HK5bJCcgENebKKgI7rumrqgURgcnOTJKFSyR4Z3Wg0GI/HRFHE6ekpnufRbDYVD1WpVJjP55TcEvW8q7vX6ylpvwy1z1I51N9rtVpqXlCtVlM9gEJc64aBYZnZKFzDIAFqzTpOyc3V31xpN5BFKBLal20aidKhfLkCV1fd+TLypiiAK5KdRcMRoywCpG1amHkkJG1FruNAmjK4uMhGKZMNuhMyM01T9bAFx3Wp1WtYlskiD/07nQ66rl/pS7Rtmxs3bzAaZk//rVarOK6DbhqKTBYJg5o7n/drrq6ucveduyo9AXDLJe7cuUOz1aLT7WYiUMfh/Pycm7duUfE8BsMhk+mURqPB2vo6pmny4osvUqvXCYKA7toaCSlevcZ0OOL07JTV1TVOz86o5YWOO7fvECVx5mRME8fO9GRerra/6PeBy4LPzZs3efjgAaVyORslPRrRajZZ295G1zTGoxFxkrD0fdbX1xmPx9y7d4/bt2/T7XapVCr0L7JU+umTvazoUqmw0s34tvFwRLvT5uT0LHN6hTlQ4syK4kwhrmXjiw3IfSxql4rap6KuqliRk0iqyCVdj4jkvKLRuq42L4o0iwB1/b1pmr7nyN/3Bag3HvU+iZZNSkw1DdAJ0yzPnJwfUK5UqFTK9E/PuP38bYIgoupVWSzmSpwGWboiQCLPBRM+aj6fqxk3kkvLDZBNIgO4rkchGxsbnJ6eMhgMaDQadLtdHj9+rOQM/X4/U7LbDv5iodTOMhq43+/T7XaZTqd5la2kZofLQsomE4WwZhokGoRJDIaumjANy2Sx9JnOZ1jGZZgsn18WosgVXF/UojcRRXkUXxKaEt4XvZdEYvJ1vU1BDCHNPbG8rjiy1XVdFTWV3Wwd5EEHdt5DGUURS99nOp6wmM9ZXV1VExwyacExL7/8cl4Z1PG87CGd6xsbmGZ2byqVCpp+2WwqM8p1PbsH5/0+TiHKbXc72RC4fHLEeDymUquhkaWIrusymUzQNI1Ot0u32+Wtt95SrSiz2Yz9/X310NnZYo5hZc/W+9LbX2Jzc5PFbM5sNuPFV17h3r27xPk9C5ZZClSv1XjnS+9QKZfpdLLrqXc69PMZ/LbrMJ5MeOWVV9D0LC0aD4d89tOfoXd2xnQ6pd/vM51O+dCHP4ymaezt7bG9vY1lm5i6wce+7uvYWlvj8Ok+vbOzjGsKlvhLn3q9QVkU+TnACIcj/xZpg0RHxei6GNFcr/SKLRR7P6WyLYMJhRMtApTY1fXMQGz2uhizCFDF8xRTxlqn+5UD1K8+vvgk+SDX/LF7RFreHR36PHl8n+7aDtu7O1lVzPMYj0c8uH9fhfFFph6y0Q0yuKxcLisSVJ5Xd10+L9GXdFaLGl0eVX18fKx6/57kj+f2PI+tra3LVCKPyqQtp9lsZlMG8wphphPxiePsqS4CoJZlUS6X1SxrXdfRDYskTtA1HdMw0TUji3TQKbllql6NRt7MKtoQz/O4uLhQlSWZ0y3pbHExi0RiQoqTg0eaplfG3BQNxcjXKIljkjiGNMU0jOzRRYaZfXezhxqk2XwzlkGAYZk4JRfTtpgvFvTPzyFJ83TWxc2j3slsimYaxElCEIY0ag1SNAaDIUmS5nO/TOIkxavWSFM4PD1hfXMj0+XkvJfruqRJgp5HAlEYsb69w8nhIa28V25ldZW9pxm/tLK6yoMHDzKpR7mE5TjMFwuOj48olUuZ48z5s421deZLn/7ZGds3bvLw3l1uP3cbr1TCtbIWoHAZ4JXKVGp1nj5+nOnfphOWYUCtVqVWrRIuA5Z5AWcyHDEZjzPNU6vFdDzGcRwODp9mg/wcl1K5TLvTQTdNkhTmC5/RaMLo4oJXXn4Z0pQPfOAD+LM5vdMzzk5OMQ2D1fV1as0q/mJOslzw9OkTDg720A1YLrPhkO1Wg1qjoRqG5TFYxR67yWSi2smKzksE08XJA8UmYaEvkiS58lAGscOLiwv1AN0isAjfVbRZuZYkSVSvYxGE5Cj2Zsr55Pt7AdSvy0FdP1KydK+7/Ry9sxOSlGyoWP6HojAbKdpsNhV5KjdKvor5cfYgSP/L/04hIhBUlrBUfi83f3Nri9FoxO3bt6nX6+qZZzIFtFwuXcnLyzkwFfUcwpn1ej2Ojo5UFU6uYzabEYWRWggBIAEhCYXF65yenioPJ72KhmEojYksdjHqERCXhTV0Q0UTcg+KBpa9pjBporDo8rrraSBcNh7LZzFNk1q9djk2RYR5eQoq50LXVfqVJIlK1+V8wluc9/tKgyNEucxIFyO2bZtGvc7ZwYF6WnCz2VS8YBzHKtptNpt4uVOzbIt6PqdqPB5ns4wWPpPRiN7hETWvShKGdNodEj1rw0qSbIZUGARUqlXe+Pzn8fLug9FohGVZnJ+f8/jRY5YLn2a9Qegv2djYUM70MJ9+MJlM8DyPdrutOhmyhvYloOM4LhWvAinUm006nQ5WYZ7Szs5OJjWIY4a9cy76PUajIf2LPqVKhThJqDfqGKZOq5lVz6TAIzOchLgWTaD8X9ZC7LC49sXugnfjKItfEg2JKPPd9uV18LmethVTveuvLb6+CHDvdvy6I3+vHzpp1q6gW2xu3+Lxk4fcublDuAzQWNDvZ6XnVqulIgUhfQWgRJG6WCzeNS+VjSNl+uIHlBEv8vpWq8XZ6akarn/jxg0mk4nSdERRxGzhM8u9RafT4dHDhyo1EC+RtWpkC1av15nNZsznc+VJMtBtEaWXjyCXGy2gKRW2k342ZlU2huTyAmbizYpDuwClWVFhuGWqfjypqoj6V1VrrhHt8r3oZc+XdB4AACAASURBVMVzCijK5y6mleVyGW93l0letYziGMcw0PRsUqSmabiOQxJF6LqpIstyucxisaDV6TAeDnn48CHjyYTbz9/h7OxMcWfT6VS15TQaDe7du6dGkIgTG41GilucTCaKUNa0bCZTFEV011bZn+xhGAYrKytM8iruwcGBGowo6d/J8bH6G3YpazX5hZ/7OTV4b319nc9//vN8w+/4HQx7PVbanSttR8vlkn6/j+u6KgLXdR3LzQBN17M5TVEcUy57l9UzYGdnh9D3uXf3Lo8ePuSjH/sYd99558qajy4G7D/cw87FuJ3OCpPphMF0SqPRRC+5ROFlT6fsp6Oj7IEUoi4vjuEp2pfYgmQemnYpLYii6Mpo5CItIDYonHBxYkaRhng3MrzY41e0x+tf8nNJLd/r+IoBStM04ijGtmxWd+7w+i99io9/7dfRKDv40+ypFtK4KqmdgI2QcnJDr6c1AhTyM+lal6hruVxyenqq1Kz1ep3pdKoGqXmex9nZmQIp286eFOyVK7SaTVURFFlCUbrfXl2lVqvypS9+UfUYVSoV5WmzquAC3co2lITbUp6V642iSIniVJSTA4TovP5f5t40xrL0vO/7nfXue93aq7qqt+nu2TUzFDebsUxJtmyK0ZIwihIrCxDAMRwECRDE35IPRoB8CxAgQPzBSQBBskxSpGGZpEjaFBdxNrKnh5yZnl6qu6trX+6+nXu2fHjP895TNT2SKNGSDlDomVruvec97/ss/+f//B8hGsr9pXEjMURxHGNbKj1KE+rSMiamaaq07hyXSoySVHtM08Swzo65TtMb5DNGUYQfhVr7OpBhAcLjwaA/HJFzXI03CE54mDTM1mo1Pv6xj1Gab3K0s8PW1pYyYPW6HiBw+/ZtNjY2uJNAAc1mk9PTU/2+msHdblOr1VQUmUikZFxXSbFMp+Qyyuh4iY7U2toapVKJxcVFZSh7PQqFAt1ul6jX5c6dO0oyBvRU40996lM8vHOHbrfLlYuXNPVFKr4SVeYSQTzXdel0VW9ppaIGzw5HI8IopJjNEhvgGwYHhwe0W6cK4K/VCAPVInTr1i1qtRqvvvoqsT9l88IGnW6XpaUlTtotyrUai6urZFwXJ5ej0qxixvDwwQPu37/PxYsXtbwRoFuZBDxP76P0mU0XoiSiFccqZ0v2RbrpXCR0zoPc5wFzcTTpKx31P6mCBzPlj5+agbJtm3gaEITgFioUSxXev3uH6xfXyVomtWqFKJpVEtINiMCZgyFNioLTyELIjcsBSMsBC5guKp4A1WpVqz8CGpSsVCosLCzQOW3hWTM54Ww2qykJomXUebxNECiyWq1W02Ok0ocwjCKMeDbwUohsZsqIxLFqyHWS1K5Wq2kDXK/Xdagun19STfEk4hGDIFAAuTnrJhfinURPcRx/oF8vTP2/bBrLUoL5sjmk6pKuDLmuSzaXY25hgcl4TByGeu7c1POIJF1EYVjfefU1br77Nu1uX3Xgr69x49JVDNOkVKvRPjxka2uLer2uOUBRFCkuU6GgfpY4DZHirdVqmicno6dmgCy4mQytVovd3R0qpTJTb0qtVuNgd49ms8nC0hI729t4iUzM0tISe3t7ZDIZ1tbXz2CO6+vr+tlubGyo+Y0DRaEQArE4nCiKWNvYYD8p/AjxNt1eks2p/ZfN5ygVCzQ+9Sne//GPOTk54eHDhzSbTY6OjnjhhReYTCbUajWOD/bY3z/Am04JUSPSN+YXqNSqDEZDMsUSP3zzTXKZLDs7OywvL58xGmnDkDYc50FqKWbIvs3n86q9KaGMiIGTYpQ4Tdlz6coxoH9HV4iTDEPInvI7aaN5PuVLY7Dp2YV/IQNlEGPEMZEBERYYDgtrV7h16yaby0sEkYcFhKDlf9OyEPKhpMs6jmM9EEDy43QoKX8jEcjBwYHmPFWrVcbjsdb8CYKAbrerSZYSGcnIa9tWEjBBoKQynn/+eYbDoY7olKcc6oP+1FNP6XBYJD78ZNx3LpfTG1QiD0l1AOqNGl4iZpbL5Tg6OjrD/BXjkW49kOET8gBt21bTfFPNoGlvI2F6EATYxqznL92pLkYhiiLsjHtmTSXtlCqeok+YRLGqfk1E2C3BKPyJwlsGU5/f/tIXKdVtfv5XLrG+WScMIt770SH/7t9+h+XmMhcvbtLt9TSDWbAqwzC0rpHcuzxf0fwSjpNElScnJ1yan1eDNbwJ08DnmWeeIQpCKpUqd957j6P9AwrFIt1Oh9FoxP7uLsvLyzrlkwbwMAxV5W48VizwpDor7TCFXJ7BYKApMbVaTRV1Gg2M5PNMJhN6w54+5J7nqWktkwm27XCyc8r+3i6VXF5xoYJASx9ns1k93HZvbw8363L5+jUABsMB5XIFy1bpWBH41te/QS6TwxtP9ExHcSbiHOUZn0+7ZH9Kj2safxJcMx0BaXw2ufc/KapJwxppoFvOpjxrSd3k/Mrnkr/VWcBPM4ISmQ4MiE2Tyvwyt2/9MRNvQskVZuFsvHEag0qXFqUXT9is6XJmukQuPxOjJhtDqg6SssVJZCNeQlpkPM/DMgwGSauKALli4IRRK59rbW1NSZ8mB2Y6neqBAePxGMOeyVzIJeC3XCLnK5GKCLoJvgHoZl0hycn0jbRhMY2Z+JisXTrcBlQaeK6gkL6f9O+mQ2t5PmJgHdvGsh3G3gTPm2jj4fs+/sTDsR0c2+FLX/8a115o8Om/f/VMGvHKJ9Z5/uVlfvv//iFf//a3+djLL2vQWwyStMbIjDlJK6TtKd3onMbioijCsGZOTFIWI57J8Az6faJkPZvNJoAuqsTxrEE9vT4yBbtcLqu19X38qX+mRzObzdJvtzENg52dHcUrstBNuHLIFAwRa6PQ6XaIwuCM6oRpmpyenuqDmy8WsVwXx3EJYqg1GnQ7HSaTKf1ujyiMk/5LS1ex5d7lvc+X8NPnRvAlwYUkWjpfbErvL+FUfRi4Lfs9bZhkP6XPhOzHNC3oPAVBfi+9Lz/wXn8iUfPB6RN/GEWqAdWI1cPIWfCDH7zGs9efIuM62E4Gy1IUdiFaplUjZcHkRtPhqnxgCSNlgwrLWoybqBvs7+9TLpcpFAraSIn2cxgqAfswCOl1u5rjdOXKFYIg0K0llUqFxcVFFhYWdFtOt9Nha2tLHy6AhcVF8kkDZhiG+oBJJCWKlr1ul8lYeWVJ5YQUenBwoCNBSemy2ayuXKWNiWEaZ4yWrFcas3JdpVGVrgRKKpvmqATRrKInaZ80hpZKJdx8HsNRB2t/fx8jhkJSHSrk88w1Grx/7x73du7zn/zXLz5549oml641+OLvvcrPPPMcg0Gfubk5CoUCR0dHOoWTJtZcLndG5VRY/e12Wx+aQqHAeDJRDsBQrT++H2AAQRTRPj2lmC8wv7CgD8jy8jLb29v4vk+lUiGXy3F8ckK1WlWRS9LyVCgUWFtb06lMIV+gXCrx+PFjgkBNYHn77bdxHYd3332X4XCoCj2OrcaXZ3O6Jci0bDCUnEwun+P08IjxSA0qlbauVqul6S2FQoHnX3mZiT+lnUx1aTbnee3V14j9gL2dXUq5AvXGHKVyCTgLSqf5dGm9sXQVToyakDXld9MRDZyVThGnna70njdU6Sp0uhItwch5atF0Op3J/iTGT14/jlU1vvLn4UE9yUAZxGCYBLiEpkNgZihV5/CHHX546xYXLj+Dm0zkCHwfy4BsQo7zph7Tqc/EmxJFs0hAUhqJltKTJaQHLy1FUiqVdNNkOPUVuXA8wTYtMo5qFxgNhxzuH9A+bXF6ekIcRwSBD8Q055scHR4wP9/k6OgQ21ZDDtvtNru7u0rPJyVNUqvVVMQTBJiGydHBIavLK2Rcl6nnYcRQq1bpd3vkMln8yZRKuYw/9SmXykpCuN9TFTegVKlQKZfJJ+qSEjWk83XLsjANg3w2h2WamBgEUx/TMJiMxxhqKhX9JEoUcD1dYk5HY0aKwiCbUQxsNpvlvXfe4cH7d+gcnbAw19R9c1EcE5sGkzDgj177Y559pcHqhdqH7plM1mbnYZfJMOLa1au6gicOo9ls6n5LYWWnDaY0+goQ3G63yedyZDMZspks5WKJfKGAbRg8fvRIgdT9ARsXLtDv9bFtR8++KxWK2JaNP52yeeki29vbLC8v64Gh7XZbUx5s28abjOi2W7Rapzi2RRxHbG5coN/rEoUBlbJSgZhrzFOt1DBQ1c4YsFwLJ+NQbzawbIuVxUUqtTJ+4NPpdgijkEwuQzaX5cbTN8jms0yGA3508ya+NyXjOnijEeVikYcPHwAx5UoZN5PR/YvpqDj9b9owyFmRyFhSOfmewAJyrtJRVbq3M/165wF3SRPFWMn7yxWG4ZkKfTqSkj0ufyt/V23OP9FA/WQYVBxjEhEbCmmKMTCMmMhyWb/xUR79+Hv8q3/9ZX717/19cq6FZTuYRgxmjO1amK4iH06nAXF4NrRLh5WaaWxZeihimnskh3g0GtFoKEkKwZw6nY6OjKrVKisrKzx+/OhMm0mn3ebGjRscJZo+x8fH2qtJ6nh6eqqnxebzeXZ3d5OfGzrNFGqD4zi0Wi0sy2I4HGrFUTEUrusSEusR34JlRIlHGyWsbZgNPpANlZ5PJnwYiSzFOwqoK6F7OuwWT4t11tOp8VBlPM9ja2uL3d1diGIc0+LevXs0F+ap1mrKSBGTz2bpDwfMLzb/1H0yv1ygd9zXKhTSRC2DDOSAdLtd1QqTpFIiZ9JoNDReI9GAqmpaZAsFTg8POTk50Z+/FfocnZ4w8j1WV1fZ398nm82qw+0HhKHP6empnqibLkjU63V2d3fVwXNc1i8uceHiJSaTCccnJ0yCkOpcEzdXwHFsCsUirpPBdhyCKKRYLJMrFNjd26VSreJPVUTU3j+gXCww9TziMOTx4x1d1Ln9zruzVM0PiN2QRw8eahUCaSSX5ycqpOfTOc59P+2c5JykSc+mqRQupFgge0bwwDSRMl0RfBKdQAKK9B4fjUYaeBeMNd2CIym7fE4ZSvukaFyun4ioqUDyEDOOMBPZjTAMwbCITItrL/1NbDfDV77+NcWfcVXjrJNxsRwTzJjYBMN+MsnrfCgpllc2VbppUjbZKCE+CvYkWlOu67K4uPgB7EFY4f1+n/39fRxHzamXgySaS6LEMBqNODg40LQJSU2kZUc2URr8Sw86TFfX5HOltaDSHibNB5G/hZmMhbyXpG/pjSJp8fnfkU0oDkBCfCmjP378WG8w27YxEy5Yq92eURYMJS9jGgbj0Uwb6MOu8XCGFcr7nff60lIhlUzB5GQ6kER4ch/py/M8ut3ujJrQbGLaNtlcjr1kbLohhs1QvaSTyUTP95tOp5p+4LquJjo2m/OUKxUMy8bzAwrFEm4my9T3KZbLVOsNHDdDqVzGzri42QyZXA7PV83nbi6Hm8mwsrrK6uoqvu/T6XT0+K3hcEi73abdbuuCThRFerinZVma4CqG+3z1C2atU7KO58Fu2Q9pDErOmEAk8prp1pi00Up/PdEWnIuqgiDQxSr5nuwrSXPlOQt1SD7Pn2Sg/pxEzQgDE5MIw7LwowjTytIej7n4wqfY+sE3+NJXvsJn/u4vYNk2XjDFD7ykzcIgjENc29WHS24ovbjnwV2xwKJFLlGVQayJd+PxmFqtxmg0olwu0+v12N/fZ3l5URsX4TZ5nqcF/CU16na7mgAoFTghfQofZjQakc/nddoyHo91+VeYxd1uV3vrIAjI5LLaWKTLwOkD7CecI/Eocjhlsoq090gaJAUCiZ5kc6U5KumSbxhHGisTIy/RVxiGXLhwQa+z8M3u3r2rRf6DIODC8jpvvfGYG89/UOxfriAIeefWIf/l537uDKYowLiuPKYAcIlahWskMxclPRHD6/s+d997T3PhSiWFzRTLZQ6PDhXVxHVY39zg/r171OcaqmcyAcCl5C7PTRQ2oihieXkZJ5Ol0+3juBmmvopuM9m8Tkl1oaZcYPvxNtlcjrJbY397j8GgD2HAeDjgYH8fvz+gXCppvfydnR06nQ4X1tc1+zuMZrrdV65cwTAMBoOBngHpui6jiac4FswceRqDTJNw5Ryl06n0GZLoWfaxFJekyir7Ql4vTbZMX2kwXFI+iQhFpiiTyehqodBqwjDUSg7AGYngD7t+IgzKIMYgIjYM1f1lGMTqUxLFgGkTmxYL8012Ht5j7+CQ9YsXcVzVDxYkUyUsw8S1M0r+I7WI6cVOL3r6e2kimmVZChcyTba3t3VZW0JkWQQrSW+ESCjTjoWtLOCsKHCapkkmm1XaQwm5VNEYeliWrWU4hGzZarV0yjGdTmnONTXvK45j7EQm2LIsPfg0l8tqdrRt2zMtqWRcujx8+W8xZtPpVHte+X7ac4pRlM2l0+PobFuO4D8SbQGYCbaQTUB9STvLiSHIZTJ879W3uHCpRqWWe+Ke+c43HxAMHD7xkY9oR5JO0aVMLsUHSaNFnmUwGOhytUwSFqMqabOsv5AJd/f2yGazuuAgz1UIvePJGJOZA5TUUkaUiTOwHRfHdXnnnR/h+1MajTqWbRKEAbVGjVwhBya89+6PePjwAdValUI2S/v0hPFwSCGb5f333qV9ekLntKXvtd/vMxwOWV5e5vqNGzTn5hgnXKjpdMra2poa7ZWw6AW/kUbp82lc2jiIE5IqsVQkx+Oxhg6kICMQiVTMZW2lcpc+V0/Cn7TRSFX6ZE07nY6m9xiGEjNMp/RxHGvnK1CLNHGbpknlQzConwwkN0BR9RKukqGaVI3YgETxIDYMAiJWL1zkwe0fcdLq0Gw08T2PnJ0hY7kEkymOkzlj7dOArlznI6q0wdK/mxg5yXcln87lcrqaNRgMyGRczYERSy6VN/l7UL1W29vbHB8fc3x0xHA41FIuQeBjWWrTtVotDg8PdURVr9cxDDXMst/rn2ntGI3HmAkILGC1703PeEKpaIkOlrDGJWqUzSJrIVUamYOXTqMkXUv394m2uUQk6UtVphwm3kSneMVikc1E5qR9esp4MKRUKNCsz/HFL/4xhZJLc7GoX3848PjWV+/x1qv7/Oav/BpRMtJKugdM09RSvmJAi8WiToPSXDhJxcTIp9NYqWqORiMePnyIYShWdLlUwnVcxTTPFwiDEMtUKg7ZD5lPKNG47IV8scj9e3dwbYtp0jweBQFxHFEqFuj3unRbLR49fABRzKDTZfvBQ4b9Acvz8xztHXB6cISNkYjvFTg+PFJSysUSmxubjPoDDg8OWJxf4O0fvc1zzz1HNtF9euP117WEjUR5hmlpuWRx0OeNVDoVPDo64v3339eRt+xvMRRiYOBsNU6cVRpmSAcP6QgtvQfT1db0fk5LB8seFQwsbRjFWNUXl/7iIHmsZVdmlxlDZCQ3kfyWj0VguXziFz7Lt/7g81hxxCdf/hlMbOIgJAoj1XV/zivIgshXusx5/udypQlog8GAhYUFTk9PdQVDiZrVNTi9t7en5GaTA5LP51ldX2fY72t2rVTF4li1pwjB0rIU1jQcDnUEIPPdbNvWo7kno7E2LGGousZzxbPjhdJhtDww4UvBTHcovSllE8l9y7qkcYLza6QjzXMUBvkbMcxqo8Rksy6u4yQAs894MMCIYlVNtCyubm4SBj5vfuvHfO3L77O8UiUMQvb3ely/cpn/6nO/QT6Xww9n+lZiFCUtFRVT0zQ1WVbSbHnmkurV67PxVUIhEUrClStXWFhY4Pj4WN2TYagZe2GIY9tMkjRODkGa7yOpve/7ui/05g/eYOfxNvV6XaVAU6Uf/uKLL3J0sM/+wT7j0YjQV/1pcRgQBiFGFGADOdehXFSkyCBU0bHwngqFAu+9+67Gvi4++6xKN+t1tt55R2OU6SG1hmEoWCSaVcPOO2y5F9lLMsFZLnFykp2kOUlpXFMghz/pShspMTBpqpBIDKXB9TRf6/yelyg/rXn+gfd8Uo4p1z//5vtnfqgSvER/GIX/mHGaBWoSGRDYBtFkQMkMyBLy2je+zPM3nuajzz6LpVaHcazaOExr9uE1wAY6zYKzxM3zLFRC1R0v0UQQBHoQg2ArpolOD0S+Q0iSzzzzDIWikpm1bZtOp6MnsDqOw/HxsRrSaYtA/VSD6mIAhWxZKpU4PDzExNDVx9FoxGA0ZH1zQ2FeSZg9Hg7xvak+dJLOCGdExr0L+Jh+qEIgTUtspEF5wZoA/bn96Gw/leBvUvmbeB6262DYFkYMru1wdHCgUtdCkVqlqqK6IGA8Uett2jbd/oDBoM/S/DxxFGkcr1gpn3E0giENh0MqlcoZ8mK6rUjwKKloCVYlWF0URWcqu/1+H9eyyWYy+H6gMZZOp40/VeqaQRhgZzP6NeVA27YaUlFJ5HFOj/fIuA5xrA7raatFtVzh4PBQ7T3fJ4pjDFSUubq0TBSGjEcqKu+12hTyeUajMaFpYruOxmLEqApmaRgGw8mYG08/zc2bNxmNRly7do3NzU3u3bvHeDym2Wwy8YMP4EDp9CvdOSCpchzHmj0v3QlPwifTVV9Z47QREYMkEXDaKKalq8UAynM8H3Sk318cq0RZg8EA27a59NwLTwSifuJWF4uznceRcR7ljzDjADObYTA1mRgmL/ztX+XNP/w8mWyO55+6SiljkjGzhKZNCIRhzGQ6xbQtXCsxfnGIEUeEnAXL04sUxzHEIdmsi2HEBIHCa2q1CkeJ8Nfp6THTqdq4ijRYIpvN0mq1aDYXKBbLbG1tce3aU3Q6HY6Pj/VGFhxEPEY2mwMUf0Q8Xhp4Pjg4oNFoKKUEyySKY9xshoIBhWwOPxlRbVkWbibD1PfJJYNQx4m3DoIAPwzIFhL8gZm3Ey0sebjFYpFev4flOGAqAbg4CHBdR1fBpongnZ1IMYdhiGmZmDHYhkngB1iGQbFQwHBsplFI6AcYlkmtMcfq2jqT0RhvPGY0GpPJZrQRsU0TK44o5/OYhkGQrJdlKXnkdrut8bXHjx/rlNcwDF3RlAqXgKcSCUtUKniiYRgaN2q327qQUKvVsDBotdv6NYejIZZtU0oag30vIJrOyvByGLvdru4Dm0wmOJaLYzsUiwXl5CI4Pj5hNFS9oJVKJeHjKYJmNp+nXKngeVMO9/bwjA7B1APbolgo0Zib00D/XLJnlcMaawf4/nt3sEyTXDbLpWvXeP27306Gki7hT0eYhsJ15UqnYDqiSoaimqbJwlyTTCbDvXv3FMifyUAMhuIqEIahpjukoxtJx9OYZvpKY8KAxm5lTcVQpdNJwWSlyi0/F9xVKAl/0vXnYpL/yZdaMMu0iWODODYxYoML6xt8/7vfoFRtsLK8RMYyNCs4CAKIY1zHIQoDwqRpN8bU+ff56oIsTALTn7Haks5J6D4cDnV58/79+4RhyPXr1xVpMOHgdDoddnZ2dBQm3kW+Op2OZquLgZBort/vY5qm1ihqt9u6cmHbNs1mUx8IMXzDkfI2IqUhBkXGcw0GA7rdjh4bLsCnbdtnKmKWaemGYjGW0qk+mUw0lpVxXL0+ElVJeuw4DhgGk+mU3qCPP/VxbIdyqUi1VufxIyVJayctPaaldJYymcwZHpoYFinzHxwcKA3vpAoJ6GhU5JrjWKlQGIahexyF5Z1O8wX8lYk+lWoVkn0RpBp3e4monKQ0cRwnxkQdSiEjCg/KNE0ddczVaxSLef0MRF2jWCzq0V9KxLCocUL1rPpsPXhANpdNmq6zNJsLmhOXy+U0Lug4atyZ4zjMz8+zvb1NFIU899xz/OjWLW68+AJmHFOvV7m/tYVlOVj2TIo3TQeAZPy4H5whP25vb+u5jLJP4jgiBh2JyuAE2d9Ct3kSBnweIxbcSwyRaZpn5gbI50s3HUsK2E804CX9E0jjwyR/f2KawZ92mbGJbWQgNFUvmQFgMDVzfPTnfplvfOPLmI7LC5sLRKGP5/lgWGTcLFHkJ4uaw3UdhhNPaWinMBUJ7c9jUelLDrxgO4VCEcdxeZQwj1dXVzVGJEqec3NzVKsVHj16pCsfUoLOZrOaPGhZKuSeJoL4i4uLerGlarO6uqqbh2UD9Pt9DfKC8kBzzabeLHEc6zRA0h/LMHUp3PM8FhcXtc66rEE+n8cLZpWeKFIpr+AYYagkXUhm9dmOYlprAh2zokO+UMDKqNl5xXyeRr2BgcHa2hpHBwd02x0c1+F495jr169rDypR08LCAkEQUKvXCSLVmCttLYuLizoFiOOY999/X0nqJrIhcayasiVyiqKIo6MjAJrNpha+Mwwl1BZFEfv7+6ysrGjMMYoi3WUg9yRpcDuJsOQgCtFV0t04jhlPPNqdEZOErpLJ2Ni2m3CV/MTzu5o7Zds2mVyO8cGBNrCTpIdwMBhgmCoVCqNISy5LWivVvbW1Nbq9Njdv3lTPPml6X15eJOO6jIYjTHsmZSKGTu5P4W0Whj0bqiC9odKVIQoZ4ujTqgXClZI9eeYsP4EDJZmLVAPF2MtnSquWCMlYortut3smpZS1SEeFH7AnH/qTv8BlRBD5EQmXEzCxnCxmtszLn/olvvaH/4b3tx7iJRbciGNsxySOoyTctImic1NF4hn5TDbjh10CxMrvywOwLIvFxUUdco7HY/0gu90ujx490lwXwzC0IJgMTigU8npRgyCgXlfg+/z8PN1uV28G0zQ1NiUpYzq0FhBecnep3slri5eK4lhrWIkBkw0oxkhkL8QYy9rIfcvvY5lgmViOYpUbdvI90yBKety0RzQMHZnFoEdvWZale+mkAmeapk75CoWCCv0TQyBqFsLiF1JmuVxmaWmJUqmkm7EFVwuCgOFwyO7urj4E6WcfhiHHx8f0+4qpLoZf7jVO1kzWUNY0l8tp8mgas5FqnmWp+536U4IoBNPAzWawXQfTtihVypQqZbJ5hSP6QYA3nXJ6csLB4SGZbJZMol+fLxQolIoUikUMywRDRHlyZQAAIABJREFUDX+wXUetNzERs8pxvV6nWq1iWRaHh4fMz88rTKvXw7TO8pmkIpa+xE0L4JzGefT+N85OD5YOg7SCSJo2AGeHGsjP05GbnEHZc2nDmf4beT8R/gvDUKd+f9pZ/olA8j/LZcZgRUlpFNHADrEsCP0xpmlgeR3e+Mbv8yt/7xfZXF/FsmziMGTUHyYbLSKTyzMcDXRZWRZAFk7nssaTy6FpENA0bd37JZUySadEn8k0DaIo1OTHdrudRF8FPaLdMEwGg+GZUUKCJbSShk8R0ZOwVg6oED3FkJSrVXr9ni7Di86T8KH6/T7ZTIbJaMz8/Dz5fF5HIHLYpRHZctWh63a72gim0+JMJgOpCqBEgGK8wjDEdhwiAya+r5qDa3Vcx6V1csKtm29hxDHB1KdcKbOwuECr1dJ0AOEoSWSSy+UYeRMtISPFgmq1emZtJJ2Wtgdpw5C1EIxP/ltE7NJpvu/7qpKcSn9EC0okZUzTVJrs8dk5hVKUKJfLFEslZa9NpZIp6yO6WdLsCjMm93g8ptVqacxSJgkbhpp+lDYk6QgX1Oe1IvVao/EA3/fp9XoMBr3EcMV43oRafZ5SVfU+SkuQrJ9Ey7ap9OfF4J5XOxAaScRZQqf8Kyl/uk3qfDU9jf8KXpWuBEoVUJyn/I2kfFFSQBHpZ5k1IMKS69ef/ouD5H+WK1KUKGbIHIRRRBjGuJk8hmkQWTYf+1s/z5f+zR/y2c9+huWFeawwwEtK3VEUY5qzNhKJCGDmBQSYs9yZXOl5Bq0s4ng80Ozu8XisZ/CJcVKckxF+Iq86SrrQJY83TdX60u/3GY0muoo0A8+zLC4u8vjxY4AzGtGGYWiavxiP6XTK8fER3WTKslAMhHgoXj3wfebn5wmCQBMY01FBFKkmYNkgUhWRkD7dY0Wy8QTnabfbzM/Pa8MeBAFYJsvLy+zu7LC0sMCwP1DTSJ5/nt3Hj1mcX8CbetiOwjV6vR7z8/Na00s+W0x8pqwv2Jg8M8FG5HfSlI90CVt6GmWDy1RqUTOVaFf6IqXytbGxoaM7AWRFAVQqUEIvEKM99TxOTo5xXUenx4IXimGDWZQh97S+vq7XME1whFl70RnMNOVAwzCAxElks9lEEdZMiJqJQkbG1R0Qwu0bDAYa99QRVSpykbWTvas++1njlP6S76VTujR4fT6IkfMm6bLcz3A41GuQjurlvEq/rES0MjlGnsGTrp96BHX2SgNuMXHCPscIyUVdvNN9fvzGH/Pr//HnWKoW6bdOKeULEBtqHlwUajBawL60KJZlWVjEqfeItDeWSxH/SoRhxKNHj7h+/foZ0E8OervdIpNRCyjtJJNEdE4OgedNySYSGwJCn/cwcig6nQ6bm5uaKDcajTg6OpqVaTOu6oI/x+QtFAo68jIwCBImuYT8ArIKG9s0TbzA10ZOQum0gbYdR/VDJgD66ekpQRBQrVY5PT1V48dXV/DDEM/3yboZFhcW6LXaTL0pvU6Xk6MjokClqdl8VmvDHyRTddNyOOPJhEwuqw25RGri8SUiEexKDFc61Jc0XGYSSgoshyDNnLcNUzPHxaikI8QoinCyqsQvgxb0/kme3XQ6xbRmPYqyniTPSAylZVlEcaBTWzHCEtlIBDEZT3UaAzNwXq44jrFicCybqa/2qyLpGgktYUiv16VSbVCpz52pfopz0LMDMxls09LZRnpvi3E1DIOQD2YZ6c8jKWL6d9KvI68t0VlacFGI0mKgxIjLXkyPjhPDJuKFtm1z7aVX/nIiKEhyYiORao1n2kZRHBPFMRYGPjb11Yu84tp88V/+S37zc7+OY8qGgSCIsOzZzQZBoHEKwW4MQ4npm+bZSSbpip8Kt30tTJYvFJgkIDKgw9W0ZwR0U7GEzGqDcEaeNJ3npzvRJZVME9FGo5GuWAH4oZo2o/lcoIFDOSAGYCSbQMr14vXlYI3HYx1FSqSZHvsjXsw0DJUGRJE+aL1eDwMlmWwnY6Ny2Rxz9TpuJptMQlFrF8cxzfl5lQonPCGpxInon4y3N8wZzyYto5NmKgtYK+son1kMiqRTgleIEUtHM+nnIKmGrLtEouVyWUuLALqQcV71AWCu0SCK4zOOJI2pyL4KIz8lH+zqzyDPMY4VzhhHEUZSgT1/GYZBFIaEhkzjNsnmcgS+pw0exGSTCqDsVSm8yNrZthqsYdrmByKgNF3ASJ7/+Z/rM5tK6dKf90mfPY1lyf5Kc+/SOFb6EmMt9yP79TymduZvPvQnf4FLZXjpxUreLEn/YgxCa47+ZMRcbYXrN57ld3/v8/z6L/08+UIBPzLoTgLmyznGg77qIyMmDFVKk8vnNavbYGa1DcMiCCJcN6tv2nEcTtothsMhL7/8srbaUv6Mp0njru0k33MIw5hKpUYYhgyHY1ZX1zk+PsY0bS0pId5ariiKODg4UJrpgY+TzRDEEZ7nK+JnFGI6NoatDIMMEJCKhkRNcsDSHeZB0jZSrikMJ45CRYiNIyV6kxzo9LRiKZOHYYg3mVApNhmNhuzt7DEeDJgmmEcYBvzsz/4sg8GQ05NjNjc3Gff63HvvNr2EdOk4Dmvrl5l6U7zRSI10CkM6bTU8oN5Ugx5zpaKaRGzMqnLSstHtdmk2m9qIAHqCdFoWOh2tlEolhoORNlj6mcUzJVYDBf7L3L/hZMzh4SGGobhVj269RaPRSGgvyrgVCw5hENHtdFlbW9OqFJZlMx70abdazM/P4yRRnGPbTJOihWkYFEq1M4csjmNcJ6eNaibjKjmhKMYIY/XsI4Cz0iWBZYFrE/sGgRFjZxwm0ynlao3JZESlVgPTJpvN6Wcqqd2sQq2qpHbG1XtJrctsQnDg+8ksprOaUpJyCpQiPYnyLNKZinwvbbjTBkqiKHk9wT4lq0lXGKUQIpSDwWDwobbk3wMP6s9yGYRBQNa2GI+GFMo1sjZ8/80fcuXiJmHoYxtgmwZhFGIknIpsNoPjZpLqkIoi8tkZd0M2oCyORBnZbJa1RCRfFuPB48e89sMf8t69e3hTn/m5OVxnJhnc6/XodrssLCyQyWT05Bjpsgf0iPW9vb0zVcNpMBtI0E9aaESjSppaa7WaBibTrSzy4NMAt4TR0gU/Go30Z5CyumGonrQ0d0U2lmmaeOMx3sQjn7DgvQT0DXwFBHfabTqtNgvz85wen9A+bVHI5en3ehQLBcU1Sj5ru6UM/vb2NoZpsLG5SRzHusFY5I+l8VmY/WkNrWpVzXwT/EUOlqyHRIKmOZONEY8rxtd13SQFDHRPn2EYSpkgiTyFXHlwcEgQBGSz2TNYUL/fZ3d3l9FoRC+Z/FKv1/E8T1NQ5P2E1+Rms4pT5DrYjo1pmWSyGWr1OienJyraLRSIk5RWon7ZW/J8KrUag+FQd06ow+1jYmDbyjG4mRyZTPZMlC68MwG4BasLgkAPH9FdGYaRcuBnIyP5Gcy4cbJvzxuoNPv+/GsIridpebqSeH4/CmYlmFQURRQKBeoLi385PKg/y2UQk7UNPD/AyVaYElHbfJHhZMoX/vVX+E9/9Veo5G382MJxXAwDojgm8H2qydSYKAyJgoDD9om+WUmP5ICLt3CcsxMrvvzVr9LutfhbP/c8uZzL66/f4f/7/I/5B7/267rlRVoULMvi7t27umwuqZakfZlMRguzCc/GyapIRjruTdPUjHR5WGkjI1GFvC7MGmS1R0zuRfoIpdVGhjgIZjIajbSxTKd9YTjT887lcnpk/I0bN2i321y9epXRaMBoNKDTaZHPZzGIqNerlMvFpOo5pN1qc2F9gwcPHpBJysZHR0eaiKq5S3NzGIYi9El1SwyRpHGyxkHC/ZH7lksiJAFkJVWUQ2UYirhp2TMwXBQC4jhmY3MT27K4f/8+zz33HJ1OR6ce0+lUTZ1OPaeJN2Z1dVVja/I8u90unU5H30NsKXA6jGMs0yCTzYFlERrQXFR43KM799l5/Jhms6kIkPFsAo8j0tB9ZazLlUpimBUY7pgWU19xuQLfp1xWRvbhw4dqaEMSgQvml24C9n1f67SLgxbjk46G0kZan8tU9JP+3vkA4En8KPm5GE4JBNJ4YRqzSvPQZBTYk66/EgMFQBQprCm2MAyLCNh8+hVsXuMLf/AH/OYv/xKWq8YlGcy69A0DwtAn8gP8JDRPRx+iySRVG/XQAs3zefh4h1avxf/8Tz6H66rbf+nlq/zu73yLb33/+/zcxz+u0wwJ/aMo0osoDzgNrhaLRa3h4/t+ktrNsAQxKIJNifFJl5xlI4inS6d54pHSwKR4NznQsg5iAM9XbNzEy0r7iGEYXL58mTiOWV9fJ18o0OkoVdBBv8/y8jLVahXDMNjf31fvF0V6km6pVNICbFiq4hXFMY7r0mw2iVPRoVQqT05OlIRvEkGmSbeiKiAgtaQn6fuRwyH6TBIBOK7NnTt3tBfP5/Ps7e+TyeU4Pjig2+2ytrquoxfHcRgMBh+Y2BtHKto+PjnR9BAZcSa8N8uyCOIYy7YJZLajgO1AGMd0Tk54+Oghju1gO46m3ETJGlrJf8NMftkwDPL5HP1eh2KxyPZuh+++/gatTodGvcFHXnqJ08ND3Ukg8ADMiMmyRrIOYhzSRZg00C1/e/5Lvp++ZvjahxOkhYEvEdz5Ct4sKp4J7UlE9WHXX1GKl2ibWxahYRMaFhEmfhiyvLTEyeEeb7/7HpcvXlGtAoWclt+Io5DpZIQfTDESA+E4rgZdpRKWDqVz+TyOq/Cd773+Oh//5FNsXjwrura80uALv/9HvPTss7RaLQ2yNhqNM9pS8iUbAWB1dRXLsuh2uypKScqojUZDGw3hKAnx8LxxkvAYZp4srdqZ9n6i75Mm2QF6fqCwnAWrME2TOJwZP1kj+RyNRoOtrfscHx9zsL+L49gYBlzY3CBfyLP96CHTqTJujm3T6fTo9XpcvXoVy7bV2CXPI18okEvY+XFScJDqjqgoCm4iRqHT6ZyJAtP4mTLKlq7gpsvqYvyPj485OT2hUCjQbKo+NNEEy2fVPDl1YB19kD3P0yPNhaNmGAbeVM2P29vb0wZ/MBjoSTESDc/Nz5PNZDGB6cQj8Kfcv3+frJvh1s2b7D5+DDEUS0Vsx9HqslEcY9kWU3+akGBjVlZWlCJGtcp0MqbTafPGzbf44le+yo3nlvnIxy7jZCP+1R/8OybelKevXaNarepiiaSOAlLLWovhBbRhkFRPUkT5O5hVGWUPCm6UNkbpCUiyv9KvKe8jzllwuvMFB3FMiqFfwfM8yh8yNOGvLIKKDEvRDpJZewCWk6frD1l/9pNs3fo23/zud/kHv/E5pp7HaKDKqpPxECNWvWVEka5KCRVANpscgGazyTQM9MMKwpBc/oODAnM5Fz/Jsz3PY3l5+YzWt3SHy6YVQyCEM5kW4rouhfKsfC6VR8MwNDifNkYwG/0jG0xC4DRZUTag/J5sjnQaaCZYXbryKWldEJ7VERLPNR6Peffdd9nc3IDQ5+qlTcajMe12m71H26oNqFYnk3G5fft9MAwcN8/HPv5xhsMhzWYTw05K+a7L7u6uOkCJIZBoUKK9xcVFjVN0u13NX6pWq8RxTK1W01iNRI6SPku/l0Rmo9GIR48ekctnmZ+fV2la8jtSvavVanqKsFBHKpWKTssFTH/77bfZvLihdYz29/fpdDr0ej0twSvPe29vP0nb4Hj/gMXFJTaWV4k8H380gTDGzWU0e920TCxzZnzFQdSWFgnHY7BsDnd2uHnzh0DMN777Pf6nf/KrzM8rnO7a9VU+8rNX+d//t9/n8OSEy4mAoOwdwTYl7Rdai0Qo4szESEiPocAeMHOUsvZp3SZxpmlOYDZhzff7fS0AmO7NSz9zoV+IEdzd3dWQRj6f58GDB6w+df2JduKvxEAp2RYrUUdIGn7jED+IwcwSm1lWXvw7vPP1/5c797eoViqMBj1c08J1bVzTgSgkjNSgQZL5ccViUR9OMRyGYeAkD6ff73PxwgVef+0OL7105cxnevONO6wvL2nSoAB4AraPx2NdJbMsS3dqx7EaKCpG0fM8fWDTpX7P8/TDT3sm+TddgZEHHUURP7p9m61HDwmikAvLa3zslVfIZTNnDr5EUedbD8TTCWs7nUYKV6zRaLCwsMBkMqY5P8/xsRoqWalU6HRD3fSs0kQHzwtYWFykWC6TLRY5PTpkZ39PgdMrKxqsHyYyGoCWGZHPJBGgqAlkMhnm5uZotVoUCgXdmF0oFDANSxsdAeAl/ZXWokxWKWH6UcTx8TEXL17UaanjOKysrGgW//z8PEDSpBvpUWNxHDMejbWEDkB9bk5RKwwjYXkPGA6HxEGEO2fx/vvvs7y8AkFAq9NhOByxMNdUqWdWTWo2Jc0hVgoXxNiuQ6laIZpO2dra4t6du9r5PD7Y5+VXLmvjJFcul+Hnf+F5br7xDteuXNF7Rp6pGAEZECqqow8ePKBareo9KJGN4HnixOTvAa3omaYqCJ8pSs5cFEWMkuqszBGUdZM0Tj4jzCa9SNQk0dV0OmVlZeVDbcVfSYpn6H/j5CvhZRimkpYwbTAsijmXP/7ON7l07RmydsyotU/OBsu0CGIDz7CZelNFaEwqNhHgR0pSpFQpMxiPdNgJ0KjX+d5rP+TwsMXySgOAV7//Hl/60vf5Wx//OKVSkSAMmV9YwA98gjAgCCMwoNfv4wc+44lHEAZ0ez1G4zG9fp+JNwFzllOnK4ppTpQ0IAsF4DxDWf57Mpnwr7/5TcZ+n0//4nM89/wF9g4P+eo3vsOljQ1yCeCcDsWDINAHOE1kVIZzShRHxChOmmmZ2I6DN53S6/cwTQPfn9LvdXU6vX7pkhoZnrB+R6MxbibL8y+/Qq/f47vf+TYxqiLnZDKMEsrAcDgkTBQUbNuCGLyJR7VSYW93l3wux2g4otPt6gEJkpYIhijRJKaBZSv5FtO26XTbFEuKS2bGYFom9Uad+1tb7O7sUKlUqM/NcXJyQrFUYuvBA8KkUiRY3MSbMBqPqFQrWqZ2eWUZy7BwDYtOokaxuKAc1mgywbAtQmJyxQIX1i8AMXPNOQwD2p0O2VyWTE4Zhnwux6OdXd586ybv37/LoD+gnmBuhVKZQrFIFMNbb7zKzvZDbNMkl81QqZR5tLvD5acWuLAx/4Fz4wchN3+wxQvPPHOG75fGNNvttl5LiRZlTdPFGMuytIqDpOJRFHF4eHhGiVMY97LXpPczDEPa7bZ+VsIKTw/DFaMre1/UNUTkMYoiraG2dGHjpzMX76d1iWGSS1jmhvzMACdfZtjaJQxDntpcxYkmRIGHYTqM/QjPsIn8gHxSOrYsS4218n3dB+hNPY2HRFFExnV5/umnef/OI77w+9/ia199k/Eg4pf+9qe5cumixo/CUI3djhIvPE68eBTP5IaHieay4zpqVlvS8yRgtkQ3YqDSJVeYtQzIJSkbwJu33sZ0A/7RP/77LC3VmZsr89zzm0RRxGuvv8ONq1fPRGGS0kklBWYMYEkxjQSDEuB26vtkslnKlQrj0ZBBv89w0NMbqFatYsQx1WaTR1tbRDEUSiUy2RyHhwdaWeHK1avcu3uXzc1NdZ9hiIFxppJUSITi/KlPLptjf28P23W01IpsfPHk8jyngZ9w52KCpOLnJkC6N5kw9TyiOGaSMMk3NzcJg4C7d+9qr57L5SiWisrZBIHmsuXzeZbWVjEzLnEY0Dk+YTwc0Wm1MUyDYqlEbEAQhUyDgMiATD5PMB5zeHRELpcnIsYPfAzTJF/I0x8O+Z1/9WUeH2zzzIsLrK6Xeby7x9e++V3mm/PMzTXBMGi322zfv4tJxNLiYjJvMmY4ntLqdXj+hY0PnJlbNx8w7Edcu3z5zPcFS5IUUgyJGJlsNouTz3Owt6d/Hscx+/v7OsUzTdWDeHp6Si6Xo1Kp6NdIE2PFGMoeFnBeihuu6+o0WfZ4OtKX4oZE9pKKNpdX/nphUH/6FVMolnjqxU/w2h9+gesbKzQT7Rg3kyEwY0wrg2u7GPGMQW06tu5Z8sNkDJPjEiceQPqsfv0zn9GLLOB6Or0S7opoK0merT9d8uCldC4scAm7BXuS3jGRSBHDJYZEIiBAN3kahsHW9iP+s//iU5olL9en/oNn+cofvEl/MCCfRGvCUZGNICqKcj9pAyChtuB11VqNfhLV5fI5bLOuOT/ZJDXbe+89QBnQbqeruVy7e3tcu3aNw4MDBX4Xizx69EhxfIol3ecos+5EqbTb7aphCaZxZladgPt6rVyXvGODAY7tMEp6I6NIaUANh4NEb2qMY8ClK5e4f/d99vZ2CYKQjGVi5fOMej6hN8V0bPZ299je3ub5F55naXGJnftbOI6jphl7Pq7jkC8Wafc6xCisbm9/j0whz9LiErl8nv1H20qZMww4OTk5w/T+yr/9JpuXa/zqf/SKTm8+8tHLPNg64p/9X1/j0sVL1Ot1avU6h4/uUS4WcN2s0ruyTAqlCv/st3+HRw9vnImiOp0h3/j6LT77i39XYzzpYor0cbZaLZaWlnS12M1k6HY67N65o/W7tra2zlRKxZHYtq1pFqKjJoWJdMVY9m1afln4adJqJPwxaT2TKFkcz3g8ZjKZ0Ol0tOTOk66/xgZKHXLbynHhyjN8/d/9EZ/99KdwcCiUKjD26A4mjIMAf6IYsNVqlcgAJ9kwIJNRPPypry23ZVnackt7S5orIjhItVqlUqlwenrK6uoqnudpMXoJiaUfLq25kwayoyjSQwGEKS7lcQm50+8vuJY3nVIu5T+wKpmMg+MqkD1KNoYY1LTomGBNaZ1oAdHlZ6Zp6rafTqdLr9OiUStr6ZiTk5MzU2aiMKTZnKdYKpEvlSiXy+zu7hLHMc+99BKDRPqkUW9gJWtbqVTO6DcVi0VdcLAzs0hPuDuSEiglyJg4jhQj27Yol4p4zgRvPCGXcVm5cZ27t2/Tbp1QLpe4d/tdOp0Oc7UqN27cwJtOufmDHyiFAWxqtQbBeMLVzYtU80V+8P1X1UFyHIqFAvPzilv07u33aMzNERPr8VQbGxsK6PU8dra3WVpa4ujoSI81d12Xk1abvcND/pv/7tc+wDHavDjPRz56idfffINf/eX/kMhX/ZrddosbN56h3+9TrlaYbzb55V/8ef7P/+MPePGlS1y6vMDRYZfvffc9Pv7KK6yvrOiIWNYujV1WKhWtHBFFEUeHh9y5c4dGo8F4POa1117j6aef1ustFVLB+IQOY5omtVoNwzC0oZJoSZy8ZaneTsGrgDNRfdpxSqFDMEipAkq28mHXX2MDlYheTQPWn3qRN77xee7tHPPi9SuYZobQH9Nvt4gjdGohG2WQgLrZnIpwbNMkCmed83KlmbASXYn8Q7lcZmFhgaOjI6IoYnt7W4evstiAbt5NK2zKzDGRRRW8KW0M0/coryMex3EcNtbWePvth3z65184syYPHxzi2A6Nel17KkDrCaXbZYAznBSJrjAMconS5mg0UpN1YxX2i0zv8vIyrVZLg66TyYQXfuZnaDQXiWwbr9fj1q1b2LbNJ//m3+TenTvUajUqlQq5XJbT4xN9SMQopnXahQoi6yafU6JLMbKDYY9Ou6WeSanE1FPO5ur16/T6XUaDPoHvMegrD7++torrutx9/zatVotsJoNlmVxY38TzfCbjMS88/zy7u7tcvXKF27dvUyqVFMmzUeXo6IhsLkOlVmYyGWHZFuvrq5jE3HzzdYaDAZORpytQUq73fZ879+9z45lVhbs94Xr+xXV+//duYWcybN+/z2QyoVYpK7ysWFTDZA+PWZ6f53/4b/8hb771Fj949TGVUoXf+OyvUKtWdDolBYd8Pq+ft6h/ikOQQlGj0VDRcrXK/v6+rkJLRnByckKjofBYcUjz8/McHx/rFK9UKukqtOxpIRtPp1PFfYs/2MsnTkfOghQbRGm10+mwuPjhcxb/WhuoKIrBtPBCuPHCx/ij736Ll198TiltxoplaxiWJlZK6Cjl40gv1lmKv1h39R4zwyXpkOM4jMdjdnd3kx48U0cjcnDESIkoWzqtE50mqSpOp1MtvSueLk20SxtK8VQffellfvsLn2dxscrTz1xICJMt/p9//g0+/vIrZ/5GjJsI2sFZzSzTNDk6OeF7b7zOnXsPiImp1yp85IUX+dmXXlLVmwgs2yKcqsrO3t6evqdCoaDSL8tmMhpRyBc5TnrCGo0GYagm1zQaDRVhpiRSpHI0HA6J4/hMa46ssxw20bkS7SXLMmmdnmLbFsvLyywsLNDpdjnY2WU6HjPq9QgSpyRKnFKtSsu0LCSRUbvd1ViL0A8Mw+DGjRtMPI+pP2UwHGBZJoZpML+yjO26TCdjth8+oJ3QFFxb0VTSrR2O4xCFIXH04QIgcaILTmKkm80mo4ES3hsOh1y7cR2721cCdvMLVMplXnv1VW7cuKEj7OFwSLFY1KC3rJ2Mipcq5Hg8xslmGRwekslkKJfL5HI5Tk9PWVlZ0Qx5GRaby+V48OCBruSlK3yy74VnJ2dFyQ8prt7m5iYPHjzQ8sYwm8IjmGKr1dLrJfpf5x32+evfs9zKX+wyohjXNjCiACsY8fjd12lUirz8zDW88YisFTEYTSmW1FSOy5cv0xsOFDnOMBiMEmmOINSd3BJJiKGS9EVSoV6vB6D7rlZXV/VUDjE85XIZy7I4PT3V7RqDwUAbDCEdwizUlQcuIm8wM46gHqZgL+LRb9+9yze/+12iOCSTcej3RnziIx/hlRde0IYnCALNQZGDnSZkApy02/yLL32JT//ic3z8k0+RzTrcvbPP73/hDVYXVvmlv/1pdrYfkc9m2N/dplar0Wq19L1JVecTn/wbhBEct7t4nseVp54iMgweb23p+6vX60rOtqNwJtd12d7e5u7du6ppNwHB6/U6pmPrMrVgc+n088GDLeLYZ745z9TM4AzkAAAgAElEQVTz2Nq6Tz6bw8RgmqpM2dmsUmRwHGw7meacyTJO8JFet0frtMs08Ll+4zqWZTOdeuSzeQqFPLu7u2zd32J1Y41KrcLpyQkbly9DFNFptdjb209ScbXWFy5c1OV6AZpV0WTMF7/6b/hf/umv4zgfjKK+8HuvY4V1Pvbiy9y7exeiMaPRgE984m/QbrdpNOe4eetHfOKTn2Q8mmBaFu++8w5ra2u6AVrahmSfyN4S4zU3N6fajQyDXrerRlxdvKgLGkL5EBkboaC89dZbOiJcW1uj3+/r/RtFStm0UqkQx/GZhmVxAsI1k/MiTkv2aBRFNJtNzX8DpTMv+OuFG8/85cmt/LQuZXnBiC2i2Gb10rO89q0vszzXYGN5gUH7iNPTNhcvXdGjjPxOGzdJw0RzKGYm2AboNCrN0ZAUQ0LR+fl5pUyQyMdKSwvAwcGB1uOROWYyuFPAQsm/BYyUiCENXp9ng4snltRtY22Nf/hbv0W708WwTDKOg5tSLRTMSipTEu5LhCae6+vf/iM++2uv8NGPXdVrcPWpZf7xf/93+Kf/6xf56Esvs7GxQaVRZzoZMhwOuXr1qo4whsNhwo2JMAyFnS0uLvL40SNtVIfDoWbd7+zsEAfKYJ6cnOgm17m5OY0BTqdT7Ixq9rVtW8uIiNE5PDxUvY5ODtexiCOL69eu8fDBAwzLIpN1sS0T27KoLyyBgOexQRCZ2JiYbpbhxMNwMyytrwIwGI2Yn5/HzWZ4+PAhGxsbDLwJZtZl4nuMDvY4PT3FsAx2dna4tHkRzxuzkIj7idEtFIvsJRG2pEDXnrrKhR+/zed/9zU+95sfPQMn3Lm9zw/eeMD/+I9+GRcDx7LxAmWMHz16pJvS19fXGY9GHB2f6qqcYagGaIEwpPF8b2+P8XjM+vo6lUqFRqPB/v4+hmEoqsXxMUtLSxSKReLE+eZyOc072t7eZm1tjR/+8IeKIZ/0TxaLRSaTicYtRUYnDEOtnJouME2nU936dOfOHQzD4MKFCzri8jyPSqXC48ePdRpYKqnpSnt7e2fm+H3ABvxV0Qz+LJcZhZhxqKTNTQPTyVLMZfjRj37IlavX8CdjMqUaaxfWCIMJw16bvYMDCpU6ncGQ/kCNo46ZqW3KoZVoR/NtQKdX6VRODnwaF7EsS49QEgMjipdyYIU5Kw8yrT8kmEsayxLJV4XhqOqcYRgEUUQm45LNqIfpuC71Rp3YMJj6U1w3g2UqTpOwoyUEN02T41aLN996i//8tz5YEXQcm/HI4/HjU567cQNv1Cfj2LRbbVonLQb9Ibbt0phfpLm0SmNpBTebxbJN2p0Wo9GQMAqo1qoUi0UqtQq3b9/Gm0w4PTphZXmZeq1OGIUsLCxQa9SJDcgXC4RhRDaX1QYLlBJpWn8dIAx8XMclCmFxcYndvX2KpTLFUgXbzVAolTEdF8u0MA0TAwPHdTEwsC0lVpjL5bAzGexcRsmTRKE2iKenp5jAsNenUa8QBj69XgcMg2wuQ6fXITRieqM+l69doT8e8uDhDkcHh7ROTvCGY4Kpz8b6On4QsLS4yLu3H/GHX7vJeOyxv9fh61/9Md/65rv8xi9/lnA84mBvl3DqEfgeURyRySisdOr75PKFRLYnjzedYoBOhwRLlEhKqqmnp6fcvHmTw8NDjSMOBwM2NjaIooiV1VW+/53v6B7J1ukJ7XaLvZ3HjAYDoiBgc2ODbDaDN55gAP50ynTiMRwMqFTKdNsdSoUiYRDgBz7D0YhSqaSxRKl4m6bJysqKdk7ValUPpRA1g1qtpos5ci5qf1lTXX5a15mhoEZMbFiEUURp/gLO47u8f/8+a3M1QsPGD0PNMs9nlXCaNw1V/1UUkj6XUskT4yT8DDFS6dJ/WidHMK60YByoEFi0tyW0FRxMjNNkMtHjh2AmVyweUWgAUoVzXTUNNwbsRInBnygiqJsocfq+j500DpvWTCI3TfYUALpaLWBZT+5Ab8yVuH8yIJPJEgXT1HpMqTfmFP8Hk4XFZWLDxEyaPj1PSf8WMgUNnL755ptUKxUG4z7NRoNBX2l57e7usrKyQq3R4O1btxSxMzGo8hzkc6dJh4rVX8YwLBzH4vDwiDgG23YxrUSgPzFK6edrpZyR1rEnToZDmNgY5DJZCvk8RqT4QGsrq9i2gWcpGd+p7xPGkRpkaircaHtnh/6gz6ULTzHodPFHY0qFAvV6nel4wu27d/i5X/wFPpPLctLrsP14h4PHbZrlZZ77hWexooDx0COcelgGSRuWkqOpVqt0el38UKVQ1Voy4SgpfMhzSfPcZvpTGdbW1jSmVygUeO755+n3euzu7rL7+DGXr1ymlLRkdbsKi6vX65RKJZ566qlEkcJmfn6edrutBuE66izFkYocBRh3XFf1FSb9p6VSifF4rDltURSxtbXFpUuXtNyQnAfBS+XsyDn4sOuvrYGKMQhlLr1sQNPAxOKZlz7Bt//wS3zm736GRw8egWXy3PUrjMeqPBoGHlEQUCkW8McD3FwejBnwBzNlTDEspVJJYy5SRpVKnICFkk/LvxKFSShbLpd1Tt/r9bQhFKBctHyCINBCY51OR4PnCwsLuslTj40KIEzEwDYubCReyqA518QwYDAYEvhTWq1TxTVxXfqDfhJK56iWy5ye9hmPp+Ry7gfW+cHWMYvzmxwcHXB8uM/i/BzFYonJ2GM0HDL1A/LFEdPQ52D7gNFoSD6XVaQ8x8U0DA6PjhiPx7z44ouMRyOMhSXMyGBra4tKtcLCwgLlSoVHDx+yf3BAvdHg4PCQ1ZWVRDQv1OsoTHTP81hYWKCUV5y2w8ND9vf3WV9fP5Oau66LYZ2VAJYoQwyUZVn4UcjYmxD5AcVKhfFI0StWV9dUWvP/c/dmMZZk6X3fL/aIu6+5b5WVVV1dVd3V2zSnZ6WG28ikTNkCZUmGbNmmAMuGYejB8LufCdiGAenBgG3AtixI1lCkyBF3zpCz9vT03rVnVm6V293XuPfG5ocT5+StZrc4fmNPAIWZ6qq8lRkR55zv+3//JZuj1WuxmIp3Lc9FMwzGA2FgV6vViJKE0XAIYUxtfZXDR4/IZzJcnJ9iWRZLSwt898++he04FKplFisl6oV0+hVFTKZT/NGIXCZL1svgB8Iff2VlTSxiy2TkC0kUmk6pVOJgf1/JfmTFnsvlaPd6nBwdqQzBza0t/MmEOG2Te70ezWaTtbU12u02zWYD5qxSrly5wsLCAqPRiAcPHgiDvpQP5rouZ2dnii0uN5jhcCgkNCmnTsaEyYNGYlOz2YzFxUU8z2N3d1dxo8rlMrVaTZE6JSY2zy/8+PVXusVL0Ik1nUTT0gTjBNu2iOKEJA54+OgeDx98RKZQYfvqNTrNcyqVMoPhGF3TcG0TLZqi6ybolzYpgMJ5BoPBMwZpcoeXpmuSkCZPMTlSnreylWkVshqSm5UMFJAbnyS9zftLywmZ5KmMRiMFuKMJYz9N03BsGzv9HhzHxcvnmYzG3L93D11L6Pd7ZLMZ4jhS9r5iYKTRarc5PWty4/nVZ0bAJ0/b/NY3fsSrt2/RaFzQHwzQ0MhmcoRhRBIl2LZDJuPR6bR5sv+E6WTCxPcZpi+nZVn0ez2xwJstBv0BJ6cnxFHM5tYmuq5z8/Ytjp4eY5ompZRbkz4E1QZLobWsFHK5nEizyWb40ZtvqlG4VPDLll3XdcL42TACeVprmqYOHi2BJIxIIsGrenp8zPnpGZl0DP7kyRMwDXTTpNPpks3m8QdDRoMRZ0cnaEFC5M94un9ENPPZffhQ6EHDgCgO2drawPdHaBosLS2CpuM6Lmurq+SyOUrFIr1uj+WlZba3tykUi9QW67z33rssL6+IFi6KsGwnfd9sdW+kxYq0gHFdl8b5Oc1mk3w+T7Eo8hwPDw5YXV3l8ePHmKZJsVik0+lwenrKzRduM0s5Xdvb25RKJd5880015i8UCrz99tv4/kTRSiQ1ZD6EI5vNMg1miqUvLVbkey+xUdd1OTw8VCGzuVxOeeBL+xq5DsMwpLK0/Nlq8UBIVeK58j3RNCZhjGl6rNz4PH/+jX8KwNr2bS46fcqFEuNhn3zOIwgThoMBGUsTUoREU7iQbCekBkkyYedpAL1eT4GD1WqVOI5VoOdoNFIbFqDkFJIrtbi4qHRRcrFItqz8t6QthgSMZd6ctEHpdDqMfZ9C6kM+nU7xx2NKlQq2aRL5PnEUkXFdTp8K8PH06RFf/OIXhY2uYQExpmXw81/6Ev/Pb/02Fxd/xBe//BzZrMPdj57ynT+7z3/wy/8eW5ubeJ7HReOcvUePWazXcWyPXleIoMMkoDfo42QyeI7NsD/g5gsvUK1WCWczHNNib29P+CGFITeuXSeKEt566y3uvPKykAdpGq7nsba6wqO7d3EzHlN/okh78h5KsF9uMMeHhwoEPj09faZ1ls8RLu1o57lhEtO6f/8+vXaHza0tlpeWKFWrVIrCT/3Jkydomkav1+PKtR0cz2WQ6LQvmpyfnNLvdvFHYwatLkHKjF9erPLkwUMKxSK6KRalaZs4nks2n8MwdMaDAbqhU19ZpX/3LienYrCysrJCt99jOBzy9OkRmUyG9957T+A5+Ry2K9j0aAinyXSiCpduAk4mw+7urgKaNU04bKxvbSk/9SAIODo6YmFhgUqlQrcpJs6np6fEcczJyYnSw3W7XQ4PD9MOQFgDyQ1fmjLOi4WLlbIyzsukEiZ5AEvqw3g8VlNb27apVqu0Wi36/b6aIMoIsWw2+6l7wF9pmsHH1Xqk4mKZ5BL4A975w3/OL/7Kf8SVtSXySZ9wPGASxUSxRiaTJWPrTMMYuMQl5nlPEmeSG46MF5etl5yOyJsulfWSayKnHrLNm81mKt5K13UVXyXz0uS/K03TpE+SPIGkbEaY7ifK80oCorouoq1liWyaOsWC+Pdlq1QoFNTGmyRCPT8JEt6/e5fH+08IwpDFWo2Xb79ArVJRrZKZaromwwEZx6XTbOJPBON+Gk4xbZsgjFhdFhMx6eIQhiG1Wk1hJLl8nmZH+Dy9+OKLDEcjAXrrGrbn0uv1cG2bUX+IlfJsTFNQDuQ4WtOEV1Tr4lyp9GU+oayCFZXCuEwzkfdYPusoisTnnF1gGQaD4ZC19XUqlQqmLWRIvcGA6WyKoQvTOM9xaTWbIsh1MsG2bOHvlMuyvrnF/XfewfFcNNskk88znvqsb6wTR7HaMJJYRNXv7e2Rz+eVvEdSAbrdLt1OC9PUyWbzaauq42XzglOVpE4CKabpOI7Sxzmuy599+9tUq1WWlpYYj8eq4h8MBgIqcF0My+Lx/fusrKwIR4ausF6WHDFJPZAaOlHhdCgWiyqE1bIsxRaXZonTYEa311M8J7jEbqXbh/T0khWSTBJaWVlRgL8kcbquy8q15z57NIO5zFQgRid9KWMhHjWcLDuvfo1v//43eO4f/bdk9Az+bExsWKCZAszT0o1Ne9Z/ed5zSW4ecrOax5NM01Ts2iAIGI1GilIgSYfD4VA9bJmeGwSBwC3mmNxyc5pXeEswXi5SSV6zLIswlee4rqsmIXJzlFhVHIeIji6mUilzcHAAJOnnGapFcIDX7tzhpVu3nqFTSN2dnb5MjuMQTKfEcUKcxOmURqN/3sd2HWbTiTrRJSBbLpfTyCRxdGTnyKi+74uEHMskk82QLRTI5XKcPj1RXtzyecjNXU53JpPJM8MJCdLOm6ZpmkaiXUYtwWXCrlxUhmEw8X10zyObydBO24wkSbhydZvRaMjyygrDbgcLDQOY+j5aHGMaBnGcEnhti9OTY8F1y2QxMw6RrpHJ5Yg1Hd0SyTiOY0N8mXAt25koigijkFw+zyhtjXx/hGWJYYZm6LiZXFqZi59nPB6r5z+Pq8FlKopsmeI4ZmtrC8uyuEhxwZ2dnVTqA8QRp6enLCwsKIIsoDAieSjLz5f3XVaiMhsy0S6VD5I+Mz+JlRIv+Q7MZjPK5bIi7kpIRa6v+Zi4j19/pTcojRgdGV8Vk8raiRHbVaJr1Fe3Mf0mv/vb/4q/+8s/LyYFuoVm2OiWSxSF2I5JnE7pJIYkqyd54gLPnLrzkzr5ZzI9Vk4qRqMRk8mE9fV1jo6O1IuxtbWF53kKEJf8JImvyEVpGIYqnW3bJpPNcn5+rsiLnusSBWIzkydkEATKSK9YLHJ4+ARS94fhcMDa2iqNRoMkifFSqc9kMiFfqKDpIgwil8uxuLiopo7ypSpUKvTabSaTKf3xmPFwmH62qFzD6ZRsiimcn5+rqqnRaLC+vk4YirSOe/fuM4sivv71rzOdzcgV8iImvNPm4OhIVC+mSZBM1Ms8b653dnamFvXCwsIzMVHyNJcvOUD8sc0JUPIiKavZubJNHEYMxyOuXLlCfzjASNnUS6srfPTRR1QzHlNDp9vris3FFBufm9oZuzmXse+TyRQol2uM4oBCuUiiQaSLCKooCJnMQjLpJFZ+30mSsLi0hH94gGGZLC4vUa+W6XbbmKZgWzueyzQQ/LGENBjWNBXWJyvEIB3qrKyskMlkVFVSKBTQDRFXViwW2dzcVL71SSyY35LGot659LCT36vrBmojkVW77/sKGpEifHcu2VrytaSrgjxIJWdKbnhBEChYQ64pubF+2vVXGiRPyQapdYqufqGZaJqOho6esSnkizz64C2iIGF5oY5X8IhtDXSwMQlnAQJgF1hOp9NRC0CC1vMtnzw55PjbdV0l6dBiEQHuuS6TscCITp+esFCv8/T4mM31DaazGdOUoJnNZnn8+DGWKaxhTENk1I3HPq1OB8u2Gfpj8oU86DGH+/v0e10Cf4xjO8ziiFwhz3jiYzsOumHgZjwWV1bIZrM0Ly6YjIckcUw+l8N1HM7Pzijk8/S6XbKZDLMgxCuUmAURszBgY3OLTDFHxnM5OTqg2Tjj+u2bmJpOOJvRvLggX8jRaDUBsamPxiNAE5M7dAzT5IUXX6RSrbK1vU2n3ebo8JAkjAhnM8qVMmfnZ/j+iFazSbfdJuO65DwPIwGSmCQMsUwDHYijkDgKsU0TkphKucRoOFB4iOd5CucIw8ugSDHpjMR9RUNLwNQNojCEOFEDg0w+w2DmU1uoMZyMWVldobayRDSbcu+jD9FJWFld4/DoEDSDjc1NxtMZcaLhesJJM5fNE4Ux0SzG8VyWFhYYDcRUz0w0An+KPxwxHgzxhy0sPabdvmA4HjEKptx9+Ag354GuYbkOs9GE5YVlllYEBWP36BDTttBTp9l4NkPTDUqVMuOxj5PiQftPdnEti2whz8QfUcjmONg/YLG+QLfdptloMB6OmPoTnh4fUy1XGPS6nJ+dEIYzSBKq1QqaBstLC5yeHBPMJrS7HeGqYJqsrq2hm4aYnJsGk9mUaTAjTDd9qdGUtBvZFUynU+VkYNo2o/EITdfIZLMMR0NsRxzIjuswGo3JeRkcxyVXqf7V8oP6/3dpH/t1ec2iEJuEernG97//p9y5dQs37xJrCWEQEk9jojAkjELVq8tpg2yXZK8sgfJ5tbVkwvb7fUbDEUHKKJd8J1nJSGpAHMdYjkOUxHS7HaIwYmVlRWBBuqGmI/5kQpLycgzDAEPnYP8Ji/UFpr5PPid8u2+/+BL+cIRpGIRBSBJF5DJZkiji3bffYTIZEwWzZ3AtqRJPkoR2u02hVCIxXaIwJI4jwtmUu++/z/17d+l2WiLmCOi0WvR7A85OT5ikroq2Y0OcUK6UWF1dTb2czolJ6A/6dPt9Hjx4gOe6OIaJ57gsryyLKjeKcG2H1dVVep0Oq6ur+KMRs+mUcHY5oZLVqGzNZEssJTYyYAFQ1A/plCBU+ZfMZvkc5TNOEhEWG0QBmqETJTHlcplMPk/r7IyD/X3G4zFbW1toukaj2cKfTLhy9SpnZ+fqvgqaSJbx2KdQLOFmRPTUbDYTJobTqahydZEiNAkm7B095UcfPeD9h3uExgQ/HvPhR494cnDE0vIKq+UqB0/2eXJ4wOHxEdM0aSZJEjKeRxQGmLZDTEImm8FzZTWS0Gm3mfpjDg6e4LgeKyurynVAvovtdltJs/r9HsVigcGgR5LEIqGn06bb7SjH1HyhSBJDtVZXVbu0UZZ/R1a6tVpNibvnJV7yv5mWRaIJOMVN9ZUSljAt4c/uOg62aVIqFjGz2c/eFO8nuZIoRjMMvHyJtZUN9g6PuZG3mAYB/mgCMz21BxYVk7SUkJSCec6M1LPNt2JywQjrF5HDJ9uaeQeEfD5Pv9+nWq3iOA6DkeCM5HNpVlzqcCD5OnEcE0dijGuYQllumes4hkWn1aJerbD3ZJ/pxKfdbtHr9VhbXycMAjL5LMNej8nEx7FtDPsy9jqKIvUzQhqGqYv8wTiMiKIAQ9MU/yvjuUSxwEZMy6HfHyv6w2AgJjLBZIppiZ/Z0E3CMMA0dfyxjzln42Ki0Wm1CaIQOyNIqesbG5imSbPZpFKpAKSfPVCTnPmXXLL8AWWY5rquqp6k2FSC5WLQcJkMIr9WSiqSRCSpxPol0VHXdU6Oj2mcnauBhpwgSuLtYDBQVBDZVsrNP5sXHmFRHDMNZqrKsEyDOEmYRRF7R2d86/tv8sVf2OHv/MxrOG5KTowTdh9c8I1v/CbX1jbZWVklXyqCaeBlMxi6Tggi7DMNjJBsbXEgZpTodjgSkpfV1VW6nZ6y71leXub4+PgZx4Uojijni5yenuD7U6bTWdo6R9i2g2WlTh36pauGxIbkM5JwhGmaSupVLpfV85m//9PJhHyxwGQyZZimdOu6MDM0dIMgmGGY6dTv3zGo+4xUUJ9+JZoGUYih6bROnuB6NsRCVb5UX2Zja5PllWWWFhcVUbLZbCpzNEBtHKPRiF6vp0BDeRLJliKXzWKZQmsGQlAMqKmfHLG6GY9MNiOSaWcCLJ/4PoZ+6c+0vrFBqVyiVC6hGwYjf8yg3+O9t9/BNIRPk6ZpnDx9qtjEvW4HXddYWF3F0jSy2QymqVOrVigUCrRaLYU5SUdDKWLN5Qtksxmh+jcMstmcwEyiCN+fcHHR5OnJmaiyoghD13EcG8/zuHPnDrPZNLWDnWKbDrXFBcrVCp1ulzfeeAPPcfFHIsTA8VySlCltmaZIPElf4rt37ypBtsQn5CEh7UHk9y0FsXLhSU7aNHXPlOx7XTfUyS3VAfIXkDLyDRFeYAgL4na7jWs7PNnb45VXXmEwGHB+cUEul2N5ZYVWuy0OoShi7PsUi0Um0ymWaTKaTemNhkRJLEz38jmK5RK5YgEvl8WwLP7lb/8bfuXvvMCLn1vHNJ+1+KnUc9y4s8Qf/t57XFnbYGGhTj6XEwZ9Xkbw1zTxNflCkTgdemjAxcUFzWaDJBIV5KtvfJ5oFpDEovqMkoRMscig21WVfr/fp9Pp0Gi2QBNpM6VyGdfz8DIZdMOgkE7ucsVLD6jz83PlmyYthCW4bpomy8vLytpF4oSQRqDpugLqM15G8QaTOFEHkes46AhRc/GzJnX5SS9Ht5jNJhRKeXQvQ6yZXL92Gy0JsQyDi/MzSBLiMFIv/PLyspKvAMrLW5rJSeBWAttwSfCUSSaSQSsrsaWlJVzXFVM938fBpVquCD5Tyu15eE+MfHO5HKenpzTbba7sbKvNpNftcuvWLbQk5ujJvqAXZDzG46GiLDQa55QO99nf36fb7XLz5vP0ej1Fj2g0GqyurlIqlS6FxJMpcTjDH0epqFqM13M5EYvk+76iPMRByHTi02xcUCwWCIIZb/7wh0SxGCwUyyW2Nq8ymvropgjKlOZ2u7u7bG5ssLC8yGgyYXFxkU6nQ7lc5v333+ell17il3/1V7n34YcUCwWxaBoNNE3j+eefZzAYKFAXUNPVwWCgWgvp1SX1jwsLC4zHk2doBtIhVW56cSCiv4MgTb9BtPaj/oCb6VRzf3+frStX2DvYJ1cscNFsYNgWQSxCPdq9LhsbIltvOPKp1euCvjGZYFgmQRxhaQaWY/Ph/Qcsrxe5dnPxU9/bfNHli79wjQ/ee8SdF24LDlypxOnREYP+ILVlThj5Y7S0mt97vMudl1/iyd5jXnrxDtVahanvc3JyyumJqAavXb/O8eGh8iS7cuUKd+/exbZd8qXiM4C71IyW08poOp1iObHa1OQkTvKUkiRhbW1NcdSk/tQ0TeWjJp+fZVlUyuVnqAYZz8NIn5vjOJiGSRQHStXxSddnfoOKZiGG7dLxfSLTojMYECc6tmYRzCaERFi6iWleemTPG87Ll3o+t01WVhLDkETCMI3bkWpu6fkkaQgy3HM4ERMVyV3p9/sU5yxadF2nUCxQW1ggV8xjmCaJltBuXrC8ukq33RIvThoPPpvN0BIIJlPWllc4OTommgXkvAxPD49xPfuZEltuVN1ul1qtRqfbpd/riNbNy+BHPpPpDFLf8EqtRiaXI+t5tC4aFAt56rUqmgZxHHF8cIhlGzQaDSb+hMODA8oLNaa+4H6dn58TpFXNZDrFMMToeHd3VzlCyEHE3sOHRGGo4sY3Njao1+s0m00ajYYCXiWmJEXDcuPxfV9NHW3bZm9vjyCIntEyyipSDj7ksOPj2JTjOCRxTDMN6jw+eUo2m2U4HJLJZJRWTQ5KJFcunxc+UOEsIJgFaQsVC7Z6HPPWj9/ila+u/KXv7guvrvKnv/PHtFM5SXjR4NHDhxTKZZqtFv5swvraJo4jDr5qtcrZyQmbm5tiwhvHPHr0iPOzBleuXKVQKLC3u6smaZVKRXH0qrUqCwsLz7itypY5jmOlpRuNRmo67TiO8tmSTHKZ7SidOqT+UwLlUr5Sq1TT9O9Iae2GPbHpzfwJrmUzTTHcg4MDFq9d/8R79JnfoIIwxLJspuEUy8sw6TbRMdCTmECytdHRokSp5CWpbP4hAeohyD563hpF+mlrcaJOdkAtlDAM1akj3QczrqeMwOJ0+iG9kJJEps8KMqIAACAASURBVKsY6JZFmEZdD3o9et0uUSxoAv7Ex7JNbMtiOBrR6Qg8yrJtkZYchzhOXoH60rdKWgcnSYJtWdiWSS6bpVDI0ep0RRqOrmM5DrNZiK6Ln7Xf77GyvIznufS6HWV3bDvp0EA3eXp8xiQK2NjcJNE10VpaAswe9gf44zHdblfdB0nA3N/fV/hRGIYUCgUVbtrtdtm5do1+ajcsD5J5pwm4DJqQFa5Qzy894+c+/xznR9jyMJIHk25caiqz2SyTMCCTzTKbTSmWS5QrFcIwoFQuEcVCIhNGIbblMk7Jt57rQpxSiuOEKA6FIV516y99d23HxHEt9g8OGA+HaAkMB0PcXJZev4eb8SiWSpCIjdqxbU5OnpLEIf1OF02DTrdNoSj0jrL90nVdURD0OTdT1/UYDkdMpjNFl4niEXECSaIxnQbq3RkOh4owK7lMco3I5yBbPzlIkFikbEed1NjP8zxlKTNIbaHl8/x4KMPHr8/8BlXI5plpIUQGZiZH82gPDZGkSwSaq5OEApCWlZPv+woQlSeqBAbl4pGtnnzRDcMgiROiIKDVaqnS1rJEmS9PqlqtBqZII5HmYKPRCDsdi9frdarVKpliUXCzdJ1gOuX07ESAtycnTMZjkkRGSQWpfMNXjplixC7Gurdv3+bhw4dKeFwqleiksUkyb07XdZrtNlEoormcVHoQhCGO53F8csLO1W0B8Ka2L3u7j6nVqsrn5/hpS2TLaQblcon1K1sYlkWr0xbM8FpdLZDd3V3qy0uUy2Xeeustoiji9u3bHB8fc+3aNaIo4sMPP+Rzb7xB++JCeUl1Ox11YMjIpHk8SZ7S8vfzh4GkIywsLJDP52k2m6p6Eq4Hl4nNSZTa7aCh6Zoi3ZrBDH/iU0pFrVJ2dHBwoMIz8vk8k6EYjzdbLbJ5YUA4nc2YTqbYqV5uOgn/0nc3iROm0wAj0Rj0+nTbHV79/Ov88MdvcfPWTW68/BK9ixbZnLA6Pn0q8go77aYAz3MZlpYXcWyPH/zgB8oGSDqiSr6apmn40ymTyZRSuawmn8fHx7iuSxTFoGlMU+temU8o2+lGo6HedTmckGJiuXHNR4eFYYiGRrvdFhKoJOH27dvKfbNarSqCqWSsf9r1md+gxtGEWEswDQtNc0QqbqRjo6OFId5gzCwWeXsSw5A7PaAYstLneZ7xLQmEciOTynvXdQniiNHQV/21YVuga5w3G+iajuM6HI0P6HQ6PHd1R+WGVSoVwjDk4vyUwXhENpNVHlIzP6CUYkTVap3ZdIyua3S7vZS5KzYHYI4TFHDt2g5hKBJGzs/PKZVEMOLx8TGj0ZDheIydybGwtMzjJwfs7Owoc/0YnetXt5hNxownEzrNBnZqzXJ6KtJaJFPZMEwy2Rz1xUVB+uz1CCZT9Dih02qRzWTohyGGlrBULzOeTHEzDlEc44czeuMhsyjmyZN9bt16EQeN8XBIGEUkGlQWxeLQLRPLddLNWCaB6GklcOlhLtwrTAxDVy6kmiYWhjyVfd9PBxMyn2+inr1mpmGpmsEsjNFNi3wlw9LSMu12m6fHp7RbLfK5HLPRlIX6Ar1ml/PzC4VBGvplRZEvFAhnIVdWN/jo7RPWr1T+ne/u3sMGWddlaXlF0APCmPv3HvLc9nXWVzdhEkEYCR5gFNHvdVleXkZDSFpG/oyLZpsgCNFMg0qtpjZ1OXk7a1ywcWWLldVVdd8uLi6IoojV1VWOj49V2GkSxyRhQDmfo9PpEJHw6P49nEwWz81geBazIGQ6naiQDjWdi2M1/JD0BN/3WV5bFVNIy2Q2DOkO+gzGI5H8PBqptv7Trs/8FE+SOdHAcXJc7L6H42UoFEvYWsh02MWwHBI0RRmY98qGy9DMeQqAfMGlBEX+t3mvIjlJWlpaUnhUPp/HMS1azSYTf4Kh63S7XfVSXLlyBdd18adTkgTarRbtZpNSsYgOzCYix280GtFpN9OMQFHhra+vk8vlCIKAbrfLjRs38H2fi4sLpXV65ZVXlDxEvqwL9TqZTB4SMDSdJI7pdjqCyHd4yOLCAnsPHwpSI5dSoHlbmWKxyJ1XX2VlY4PxaEgoGe7jsZgWBaEi6eVyWaIo5P6DByytrtJqtQjimGKhSLPRZGNjg+2rOzzd3+fxkz0q5TK1hQUsx+b8QoRCdDsdXMchji/lKrIikgeNxEMkQAsojtR8y6dpIvpdHkzzwnAQ4Z+WbQl9na4xHAzFKH8WQJKwtLBINpPl8OCAZqNJIb2vS0tLZDIZpfbXNY0kjinm8/zBH32fW6+s4nrWJ761cRTzzX/xAV94+fNc2dig0+ko7aLneRiWxf33PxA/r2HgZrO8+/bbCttcWFhQ8pEwDLl9+7ZyEJhMJmr8v7S0xPbODpPplN3Hj9X3fXR0RK/XUwdvo9Hg6HCfxYUFgtmETCbL3pMnwuQODc/LMJsT2hfS2PP5Vlq6dsgEbumDLp+RxKok9cHzPPxUVFz9lFy8v9Ji4Z/kEuHp4sQ3kpBx85CHP/wm/+mv/zdkGWFHY2IMdN16Bl+ad8iUcVLy5Z2365DTjVwupwDcXq+nXm5pgwqontxAyDUk70aa4tfrdUqlEmEY0u52qNZqOJaNPx5zfHzMQq2O57okcZwuSkCLFI9IkkalfGMymSiSoZwMzvuSSyvVRqNBqSjsdqWOLkp1ZoZhKEsS07ZESnIqiPZ9X1Ug0qtqGszIZLNoCYJakWJvWVeY7+/t7ZHPZej3uxSrFexMlmazyRe/+lUMTSdfKBMHAe2LJqeHBzQ6LRaXlnBzWcZT4ZtkGgau49I4O6dQKKnnMp1OFdYm+VJSbCo1jPI5yE1NguxuNqN0cfMSJwn4ep4HmkaipYETaQqQZZoMh0M6rTa5bDaVimSUh7zEU+QBJikRb733Yz7ce8Tf/oevUa3nnnlnZ9OQb/6LD5j1TX7m5guKCHnnzh2Ojo7U5LJerxNqiQqTkC1tLpdjd3eXIAi4ffs2uq5z//59JpMJOzs7bG5tMRqNODw4wLZtbty6xXf/7M/o9XpqIxukz9n3fVqtFplMhldeeYloFvD40QMajRY3b90SE1HdoJAXdAfbtplOJriuIxxe5wzoZDDIvFuHWqdJ8kzQw2w2o3HRYHV5Wci6Fpc+i2Lhn+BKdHQhlgB0CtUVltav8id/+Lv8zV/5OnoYQHAZRT4vbJSbj+RxzLs5wiWoKgHAcQr+RlGkYp7k+FvyRnK5HOVC8RnQWvbvYiQuHBEMTcezHUzDwMzmxHRtNBJykyAgcWLQItyMrfgktVrtMg1kPE6ngUWq9Tqj0YhBmvihpZYw2Xw+rawiSgURLJFxPTUVtE2hSxz2BxhlA38qMuJi38c0DNA0iqUSy8vLaiOO4pjRaAxxzCjVGkpMSAqbr2xvEwZTWr0ejXYbTdN4+PAh167uEM1m6J7wl0KD6WzG2dkZ+XKJRId+r0+lVGbiT5Sb6cfDUdWjn7NYkdWe/DvzZFvJSpeHiqyAZUuvJnuICtMyLXRbFwqEMFT5cJZlYbli0c1LboBnXCIB7jx/A9d1+D/+p++xvlXh2gt1DEPn5LDHh28/ZWt1hZ997TXanR6aruFlM2w+d53j0xNsy6JsCwO7bqfNLHXVkBKSUqnEysqKggY6nY4iaG5ubjIcDNjf36fT6bC8vCx4YHOOHZlMhv39fWq1mqoCDw4OePz4MZ4l+E7ZbJZupyPuiS1E2lo6VCgWCoThJWFWavnm+VDzYmG5lprNptL3LSwsUCwUMVN9qPcpjIzP/AalEZMg1N/SP2rp2h3e+eNvsHtwxGqtQMY00dEvF1kqBpYnk3zRZFsgGbNwGajgOI7S8FUqFdVGyQ3KsizlxdxoNMjlcqqUPT8/54UXXlCTPtd1WVtbS0+SACdN0jh9+pTGxYWqgAxT+GLruk4uW8DQLTY3rjAejxmPJoyGPs/duMHx8UlKqDPo94cUi0UymRwnJ0J0mysUOT4+ZjqdKmnP2toaxXqd73/722xvb7O7t8csDqks1LE9QSYNhhGmJqqP4XCIbpmUi0W6nQ75fFEsdE0TDPFIlO/lcpnxSERoj6YTrl27JjbUdKrYHww4uX+f08NjrFQVLzeS81ZDEGodIdMJpzPiGCXEXl9fV0C3dIyQlZ5045z3J5ILZTabMZr46pnIg0fazEiWdC6XIwLiIMDJZBilTpFBEJDL55W4ezIcq4NsNpspIF5OpJIkxnUdXr71PDevXeXhkwOevCvIvUQRX75zm2I+R6PVYjILeO2111haWSEOA8I4IpoJrNJ1XZbW12g1GhwfH7O6usrBwYFqab1UsDsajXjxxRcpV6vsP3kiKuZSSfkuDbtdxqMRlm5wsPeEaq3OqD/g2vZVZtMZD+/dp1wu4w9HxHaQBn9WsNOWTRo2Wo6tDiTZNUjHieXlZQaDgTpM5J/NHwLFYvGyWgUeP34EKcG0fnXn40sb+CnYoHRCoWZPdOEWpem4mRI3XvkKv/9vv8mv//p/CfEUy7z0c5ZkMknnl6Qz1aIZl4koUi82T0WQ9iLS/bJeF9qlbrerFomURgwGA4EndcTI3jBEGmsQhcyCgHwuTxgE6KaB6diYYchyfY3ZZEIQzCgWc8pHWnr/yFQP27Z5enqCaVsMxyPxveumIBmmi0lumk/On5D1MgRxxMwfsbv/BPPpEREJ7330AbbtEKfthMQSJLs+hmcsWguFIlEa+mmmbZQWJzx9+jTVOmpYps4sFMOH09NTtm/cQDdMRu2earU3NtaZxoITFYYhX3jjCwLnaTUxDZOsK1wk6/W6avNGo5GiiViWRa1W4/j4WDlyzgdbyP8PKMdTiYPICmsehzx9eiIcHsKQ6kKdo6MjgjDk6tWrRHGM5dgE0WX4hawOJGdIgvPT6ZRszsZxLHRD5/lr26wt1ZnNZurZTSYTYnReffVV1nd2GHa7/PB731MyLN20+O0//AMOjo6ZzUJM02Bne5Mvvf55lhYXVeJOPp9na2uLvSdP+O4PfkAwm1FKk5vz+TwbGxupO0SEicZgMOR73/o2lmVx/+49ut0uK0vL7Ozs0Go30k5CR9cN5ZUOpN+TkWJWIk+vUqkoTzQZUzYv5wLUUEj+/vz8HBAVXafTwbVFks2nXZ95DMpIZiSaLuxXMETrosXoSci97/0Oy4tLfP2rX8DWL0HueS6GxFgApUGT7Fe5gQ0GA7XpSFsLaTwmBbryNB+Px3i2o8Ss8mVst9tUKhXOzs6YTCbUlxbRLSGulZq0xsUFn//c6wRBwL179xgO+kSzmYprkinHsvW5du0ajXYLLyOy3a5fv87S0hL5SgU/ZbkfHR2pEnxlZYXhcEi328U0TSqVCplMBtd1uXv/HiPf5/UvvMFH77/P6anIgtvY2GBra4sf/ehHVCoV1tbWePzgIZWSCL4cDYfcunWLk6PjtJIRtrdXrmzyaG+XN778FUajEW4ux/e+812iIGZ7exvXsGidn9H3BSmwtrSIk/VYqNUp5oUWLphM8f1Lf3i5oci2rVAoCCyj0VCEShmlLTcKdb/CQH1dPp9XFdZ8NLyRCCuTbrdLs91iNBGe4fliATSNzStbRHGMPr2MrJeLsd/vq3aw2+2i6aGQXSGA8ygSdiftdptMNsv2lW3Wn3seYo27771Hs9lUGsAff/gBJ40zXnxjkxuvruFlbSbjGQ/eecp73z1gqbbIz3/xS1QqFdrdHt/63nd4/OQJ5UqW2SxkOon4yhtf4Oe+8hXGoxF3795l6k+olsria9K2ezQaPaOQWF5ZFNO18ZBms8XKqsi4y6YiYsNKfaJ07RKqSL9e4k3D4VBV0p1OR90faWAnRewg5Eae7Yig0o3Nn1IMCgBJxtMBjSgRqcTX7nyRH/3Jv+Klmzus1SvqZsmWTjlOpviBXAAyzlmW8PLPJEAtwVa5IckSuN/vC36UpivZi5wWzVcls9mMbC5HZyhsfmehOHUy2SwRCSfnZ4wmPl4mQ2JZmJYJyWWM9GQisKKt7W0uOm2u7FzFyXhcvX6N3d1dsvUak2BGs9nk6dmpAlinYcD6+jpxr0u71yUiwR2PKKfM5SAM2N/dpd/vqynlbDbjnXfewXVdYe/SaArW8do6zUZDlfvSOdTzMuSymXRKqistV6FQVNWM53m4hiXa7bRlzmQy2J5HrV6n3xXBoGGKcQDPMMClL7nciGTbBpcEwvkkHk0TSS9ol2tgPgZMbnpJGAt3iXTSpKeJOrNWGy+bod/vkyQJ1WyRYDYjDAKaqTJgOBwqA0PhoBATxsIsMUmEoF0zDYqVMtVqjUq9SjSbQaLTbDbVwfnWB+8zCHr8vX/8FWzncnl6WYeXvrTNrdc3+Ob/9TZ//N3v8NKtF/it3/+3fO2v7/C3/sHXlCD59GmfP/rmR/yT//0Rv/73/r6o8qs16gsLOOmQR4YwSG/xKIrY3NhkOBqm1bnYcILwMqlaN4x0sxXPsV6vq41XDpskhCAxPjN1TNV1XSkt5H0fDUdqAvpp12e+gtKTJG3tICIFv+MQIwFTj7jY/YD+03v8Z3/7byk+kyRWyhs1byYnF9z8dEdypEBsEg8ePKBWq6kkjL00WXdpaYnhcAhxInyYUq6I1JttbGxw//594jhmdX0NLQXRo1hYwmxvbzMcDhmPx4ItbpgUCwWGA6Fduvrcdaa+z8MHD6hUqlSqFVzHod0TTojSSnVzcxPf95UlbxAELC8IFu/21au0mk2GwyGTyYSjoyPRBk4n1OoL+BNfAakLS0tous67P/4x+XyeRqPBoNcnn8myurrK6ekpi8vL1CoVNbauViuEUcjp2Qmvv/4zAFQWF0HXePDhhxw82SdJEjY3Nhj2xHg7ShK2d65y4/YtRuMR3W6X4XBIkiRYiYGZRkxJcqyUXsjJULcv2ufxeEyhUFDk0nGa3WbbNnbqWpmkG30QBmip46iuC8+xIEqwPQ9DNzB0yGYzNC4uRDhouczh0aH4ei3m9PQE23LRTdFKZjI5wigim8szTe1vIFGVxWg0Upa98r169933FF7jeR4x8Ft/+Af8/f/uqzjuJ9MTAIJZyP/5G98mCiL+3n/+MtvXqn/h78Rxwj/7397GDgu8/Pzz3Hn5FXr9IedPn7K0tKQY45Zlkc/nefjwoRLRF4tFJrMpq+trJIDjumiGcAwlEqRnUxepM6enp6r6k04QpmkyGgw5Pzu7TCqKQuWRNgsCbMdmNplyffsqANnllZ/WCkpLncovL90wMDSNJErIleucP35bTXeiKFL2qZJDMm9QpwBq49nMPIlP9ft9rl69ynA45O7duxiGQbPZVNMQx3EYdHsqhBNEHy7lLXLyVK1WRQRT6gku7XHFyy6cO4kTSqUST/b2KBQL7O/uAlAul2k0LgjDQFRivS6VSkWJNy3LUsMAeUJJ8ejxnPPn5uYmrVaL1dXVFD8aY6Z6q0ajoarG7e1tMdErFkmiiNZFk+PjYyFePj9nNBiojL9ut5d+jxUVgIpp0jo+5tGDh4A4eXXDUDjKysqyOo0P9vdxUtqAbhhMJz56WpHKzURWohKHkmJjGX4qDfvL5fJcfJdwuAAR7JAkCcSiskkgFcXm0XSdqT/BzWbpd3uYukGn2aLf7RIGAkNKZsLauVgo0B8JCdTYH5PJZAXr2rYUo1vXxSa4sLDIcDjEMMw03qmr7Gd0Xee5F1/kX/3mN7j1+vq/c3MCsGyT+loBM44/cXMSn6nx1//mDf7Jb3yPl2/e4p0f/5gwEAOgvb09ZaYou4XNzU2uXr2qbIQMS1RRtmMz9n1s02HmT3Bcl7yXUXrK/f19ANXeyspVBirIAyWIL73/7RTHm459vvOd75DP5/nC8idrF38KNqi/eJmWiRbFRHFM4+ghK8urDAYDFhYWVDk/37rJzUj6js+nC8uqK47jdLpRUm3e8vKyajU2NzeJY5GQ0Wt3VO5dGIaqvTs6OlInzcnJKb1+j8FgQLVaVQRMuSkOh0M67Q5JHHN2dkaj0RD4Uj7PxcWFiHRPEo6Pjog11CZUKpUwXZfWwQGj0UhhTKYm/Jzkf8vlchwfH6uqLQxD/OmEhVQvVa/XVdUox9iyRC+Xyzx34waRrvPoo49oNJskKS+pVhds5kbzgnv37lEoFDh75x0VE99ut7ly5YpIWhkNefWVVygUCpQrFb71Z99m59o1WilXq9Nq4RoOhm6o+yk3HHnfp9MpuqHz5MkTwjAkCAJefvllPvjgA0zTZGlpiW63i46hKuY4joX1imkp+kkURWmogIZhmPzgvXcxDYPJxGdjfZ1g4uO6DrauY6XPSubIRVHM9vZVxv5E6NcMXUEJ0ktKag9llSttZSRwv//gAe9+8D6/8g9e/Yne8XAa8jNf/nRwGaBay1KpZtg7OGC5XiMKEzVBKxSLlNJ0bDkMGk98kSzjOBRKRaWcsCzh8lmr1XBsGy2B+/fvk8/nWVhYUPiSfG/nvf+laNvzPIajkehMDF2RZm/evMn9+/c/fS3/RHfjM3aFoWjxdA0uDh9y+6t/TU1u5icwH9+cpEf3/Bha/q/c0CQIKE274jimVqupVlDTNIa9vlpMsiobjUZ4GUHw88djwjAQ6vSzMwXmSvsQWR3kUmW9tBfJp6NuSbCT2WcYotyW6THRdEq321VV4WQyoZDNqWgnKV3p9/sqtcNxHDKWsNXIZDJqgif5YXJg4LkeuqURxRGkdsSmLU78RqPB9s4Ouq7z9OSY8/NzdF1nMpkoMNowDJGWkjKOE/EwmCUJtUqVMAiwU31jqVDENV0FxsrKCS5xDF3XyeYyKp2kWCwqAzr5b/f7fcrFivq6S0sdYZYmU3LjKMa2BO/MsSyxIRmi3avW6wz7Pab+mAliQ8tdEfd0NBrTHwyYTmdkc4L0enFxoVQI8vueh1PkVFhW8KPRiNk0wPkU5vnHL2F2+Jf/XS8j4QkRjaWbBhnXwbItSpWyomQMxyO6PeG6GSWx6hzkWkmSBNu08Mc+vW5Xxa/J916Kf6XqwSnYOJatROtyWq7rujD4m5ObyUryk66fyg1qNgvQ44Sgd4blZlldWaOQv6Tky4UiF57v+0wmE9VqSVKf9LyWZDz59VEUqUUu2zUJoIO44YPBAEARC6UzYpIkAqgcDFhbW2N3dxfDMFhYWKBQKCjANJPJUCqX1Ohbxpifnp7S6/WoVCqsrKyIktkTNjLXrl1jOp0qWc2rr7/OD7/3PdbW1hSQLZ0iy+WyGr3LyjEmwZgTTUsqgwyMlIu71+sxmghHzl6vh23bVCoVXlxb5bxxAQjfoLW1NYExRRHr6+ucnJwobphpmuw8d51MPodpmTRPT8nl87SbLfHnmjhle72eiqSSm6nkHoHQfY0nwmhQcthOTk7UBiZtcCRgK8HbOI4Jkzh1NRA/q26KPyuVSlRKRTQNkjgSE8IwwLZF+5svZDk6OlItued5zCQ4HkfK3rZarapnJ9tvtUhBCZAldcXzXEaDCfmSx192uRmbs5M+O8/VPvXvxHFC82LEz7/+PFnPYzoLSTQxccvlcgRxBLomJpyWSaFUxJ9OqRUKTNOEHUmUzefzNJpNWs2mikHL5/OqOjo6OlItnHI5CCOljyRJlGtpHKdQRyKq2Z2dT+ZAwU/pBmWaJnoU0zg/pFhbwXUddB3Fx5CG+37quy2xKKkn+jjLeJ4dq2macqyUXjiyAup2u2KKEwrXArjc1GSVdnFxga7rFMslgiCgVCopkmi1WlWYkTQNm59KdbtdJWeQPlNJktAd9JWhnaw0SqUSh0+e8NJLL4nAxDQJGMSiFa2J+D4ty2IyndLp97F8n0qp9AwzW7a50qZXVnuAGtWfn59zcHBAoVBgeWmJcDal0WgQhiGvvfYaw+GQarVKr9dLjdFsQbHVxGfsHx1iaBpxGHH12jVaFxd0u12VANNqtahUKsrRQT6XUqmE49kqaFVGJNVqNXVySzKmrIKDICBfLGCl+BDpxpuQoJk6rumm7qc2uq7hWCb9fo+jU0F21XSx2GS8/WQyJZ8vYFo2pmlhu0KfeXZ2pjZjSWyUm6ScFstDUtd1nt+5xr23jllaL/+l77huGHzv2/t84atX0PVPxJd5dK+BZdpkHIdSuUyM2Dh831e6SVktz2YzlpaXcTxX3PdajXsffUQxbQM7nQ6dRhPHsigVi2RzORqNBgsLC5ydnbG+vs75+blaSwv1BQa9nmq7vZx4Nx3HQTeFVXO5XMazHcK0mvzEtfyTL/vPzqWlYQTFxQ0ev/n7aNpfIwxnaneXQLjEomQJPq/Dm4/Hka2hrJjk54xGo2eY5wsLC2IKUqny4dtvK/xhvlxeW1vDMAx6AwHm7uzsKEJno9FQVZY4eYSvj2XbOLbNhx9+KNJ8o4h2p0O9VmP/4IBCqajIplIAKjlauq7z4MEDNtfWlR2LPNXk6Pi3fv/3uPf4MbVakV5vRDGf5+e+9BXWVpYVOVJWVJlUxT9KNYC245BLKQb5fJ79/X2Ojo8xSLBsm+vXr6tW9/rzz9PpdBgOh6xurKNbBqenp1iWxauvvspbb/6I7a0tHt29SyFfIAmF8l5ieK1WS1WzkurRarXQDFhZWeHFF1/k0aNHIhq80VCWLQC2+WwwhmmajKfioDGkHa0pPYosSgVhJKhpIvLs3lv38Qo56tlFzChRVcjm1W2SBPZ298QAJuOh6TrnaTR5rVZTuYkfH6fLFjSXy1GtVvnlX/ol/off+A1e/dmrFMqZT32/R4MJBw8vKGQz/Jt/+RF/49du/YVNqtUY8Zv//APeuPMqmqZxcnJKNp9nmE7vSqWSiEMLQ46ORdZfqVrhwaOH5AvCTNFKq8DT01MCf0I+m0MzdIr5AncfpOxz3yefz+P7Pu12WwWERCnEIbmH4/EYO81gHE+EhbJlWYyGQx49esSXNjY/eS1/1mkGIqBHXDKJWNPA0A1mE5+7G07WUgAAIABJREFU3/rnfO1rv8jO+gqGFmMlEaYWQxrGOA1CprMwrZZ0VX7LRSyrCOCZ6gsu27dg7gQwDIOTo2NKpRL5fF5hSHJTlBWbZuhkcznVwnQ6HY6Pj5XbgWhDdWaTKWEUcnx8TKzpvPneO5yeNzEN4Rn+uZde5rU7d4DLLDhpAex5HtVqlXv37pFzM2qErGlgWQKc/We//ZvkSya/9ne+SC7nEUUxb/7wIf/6Gz/kP/m1X6NaLqvWN4pE6Ojjx495+ZVXqNZqwqIDePzwIbMgYNDvYxgGd155me//+Z+jaTqWaXLlypUU/BblfbvTYW1zjWq1RhSFDPtDRqMhlmHiWg7lWpUP330Py7YZDUeq7c2kol/DMGhcNCiWilzZviIcE9JgVdmSSpzNNE0MzVQHRbvd5sWX7hAh2P5GWtWYjk2S0gt04PT0KWEQEIcBF+fnXL16lbHvEw7GLC0t4roerXaX/qBPq9Pl2rXncByH45MTsrkc5XJZOUPIeyeZ1vOGbblcTmA5rssf/smf8O0f/Dm/+l+8TqHyFzepYX/Cv/5ff8BivsadG9f50zffRLcT3vjKBqsbJWazkPd+fMo7bx5z+9p1VqtV4VFl2wRRDBqUSiV13w1dPNeEhDCOGY1HNJpNtre2GI9FMOvuo0d4tkO5VKZQKtJoNChWyors2263aTabitLhui5EMeenZ7gZTwjRHRvLttFTuoKu6xSyeY7294njmOuvvPbTSTOY30El2cA00jLaMKhvvcAH77/DxuY2thZiRFOiaIalJcKYPhYPTVRF4nNkdSVbs48DgHKzmQ8plE4Dcsok/ZYGaaLF/FRQ8m7kOBYu5RLzbPUkiYmSCE3XODo/5+7uI/79//BlXnzpr2GaBocHLb752++x/zuH/OovfV1hWLJNXVlZodPp4HkeWS/D6uqq+r3nuuzu79PstPiv//HfxUg9oAxD540v3KBx0eMHP36Lr/zM51VVF8cxvV6PhYUFctks3XTaJsMlZIWj60JwG4QRhYKouCazGUG6UGezGbphousGhWIB3bYhOcNxHSzTpHXRoP3oEehiky5XSmpiNhoN1fg6ISaXyyrXBfnsZFCqxA+n0ymeYyqumMSGokS057n0oNEQYQXZ1N7Z0HR002I4Eda0Z2dn9Ho98qZDQ9fJFfI0LhoMRyMcz0PXNZrNBsQCg5MRWZKsOm+EOE88lTBAs9Fge22Ns60d/u//8dts31ri5mvrZHIO/njKg7dPePTBKc9vb7Oztko+n+Nv/NzXCEL4/g/f4tt/cIBlmiwvLPGLX/6KoFHECbbt4jkOo8lEJHJrOo5lEcpBQ/o9TYIZ+WwOXdOZzQKu7uzw6MEDDE0nDMSzOzw8VMnOlVqNyXislBQimkuSZjUh4dIy6udMEqGazWSzQj3R7TBNq7lPuz7zG9QnXfOj6NrmDd793e/Q7bRZrpcxMIjDGExdmNGbJoYmxs5JerLJlwlQGAGgNg/5gsmXTIoiJd5gViqKjtBut+n3+2xubj6j7M4XCmTSyCMJjL/++uu4uRwnh4ecnp7yuc99jrd/9Cb5QoF3797jH//3X6e+kFc/58ZmlX/4X/0s//R//hMOT4TboqQfhGHI+fk5Jycn3LlzB88URn3vv/++av8OL8559bWranOavz73+jX+yf/ye9y4ckG9XmdxcVFxo2q1mvICUn7TwyE3b95Udi9Pj47YSmO4JY5WLBZptVpCXuR52LbFwf4BURiyt7cnFkIosv8811OOoP1+X8mFpGOm1IDJz5ZDDYmnSLxQkhJd20udJIVlzu7uLmubG+oZxnFMME2Fv7OYex9+xPHREaZpkHEtbj7/PE+PjlmqLTAdjjg9P8PpdpjMQjRNR9MNoihG102Wlqt0Oh329vYU1iSFzvP+SVJLJzfT48NDGo0GK7U6lS9+kf3jp3zr//1Q+DG5Lpsra/yj//jnmPgjEYoRTMlkPAzdolouM/Z9HM8lW8irg89Agygm43n4qbBXpufIQY7U/ynhvG2ztLio9Ka+71MqFOn1ety8fYva0hKnJ0+ZjMeKblCr1SiVSnS7XXzfx9ZNqtUqrucxHI+olktMU3mRDCjZf7zHxtoap6enrF6/8Ylr+adyg5LckiiKsN0M1aU13nv3Lepf+xpaFGJbJrousscM08CzBbtX1zQ0UC+P/CVffuAvvGCGYTwTUyUlIu12m9PTU7WptVotlpaWIP380WjM2fm5WjQbGxsEQcDF/j6e61Kv1/nud76DbRq88+FH3Hll45nNSV6GofMLf/0Wv/ONN3nx5k3gsorwfZ+rV69yenqKFgkvoTiJGftjDNNg2OtjFz/5HsaJiFNfXl6mXC5zfHyMaZqCs1QuK/xNjorX19fZ39+nUChQq9UUG7zX67G+vg6IyKTl5WVWVlYIUrFxFEY0Li5IopgrO9u0mk2ubF3h/OyMbDZLu91mOBwSx7GwKU4tlyXHSA42pFxJbohyrC3b8tlspqrUTqfD9evXGfpj9XdN02TiC1Lo6dMTLk5PWa4vksl4OJbJ0/0jojii3WgRxanXvelQcLMEYUguX0DTDbxcVqTwTqeq5fE8T1V18Gwl3ul0lNBWTsbG4zG1apWN9XX6nZ5in2uaqEqiKOL9999nYbFOPr/BYDCgNxA0lkKlhGaaZLUCYRBQr1TREjg5PFLPRr4jSysr9DodpZkzbDH4yaaT0lK9ThCG3Lx5k7WVVZ48eSJ4bcfH3L1/D8/z1Oflcjl1aDiOQ+BP6LY7aIZBNpdV68VKJ8OCA/U8vU5XDZQ+6fqp3KDmuTJxHLO0ucPu+z9k+uUvoxFh6QlhFIGWxqqnZW+cEvbm27p59jfwjM+1bAU9z8O2bVUdTEaCaSwdEiSeNT8ZTBLB5JXcJgnclotFdZL1e106zSaNTovbr336Q9zarnN+0VIVztbWFlEkIqbiWFh3jIYjdMv8/8h7sx/Jsju/73P3G/seGZlZudXWtXRXdw+7OZwhOUNiOIQl2wIGBjyAbED2mw3Yb34y/CDD0F9gPxoWvFte5AeNNSMNRx6NOMNeSHaxu6u6qrKycs+MjH27EXF3P5x7bkY1m5IebEBmXyBRWVWJzMi4557z+31/34XtvV16vT5f7L/Atgw++ugJ/8bfeB9dfx3A/eiDfW7v7aUMdLkR5HK5NPxBMvKlzGVnZ4d2u83JyYnwxapUaLVaKIrC+fk5y6Wwit3c2WE6HHJ+cYrremTsDPlMjmqlSqlQxE14T6PBgLX1dbrdLttJAOjR0VH6/jx8801Gw2H63sq2W07KVie0cUhKUchms8LDXNfS0bjneWiKcK8sFYrkrAxhGGCbFioxa40W+y/30VQN3RJBl+VqlUwmh26YeL6PlQhhBYk0SPEwSaKVQuZVxwVN01hfX09fg6qqbG9vk8uJjW9naxtd01ksFqlrw3w+4969exTLRTpXbXTDZq3VwjBNdMukVCmLA8UwMCyLfqfD2nqL+cxJoQbbtiGxApJAfUqonM2wMxl+8hd/gaYKn/woCDk8PGQ8mbB0xfRvY2ODYrGYTgRl6ks2m8XXDSzDZDITVZrjOFiJPtULE+7XeMKrlwf/XJrBL9f2vwaX3FTkVaq3IIaLizPhmoiY8q1WSXJzgl9Op139vvKSD4BccFLzJh9eya6V7dYq7X+VICoDAsbjMScnJymx7+rqitlEiDBDP2A6Xf7K39eZLTFNIV/J5/PCZSCJEpctq2mZIrHE93HmgtG7s7VFa63F3/2v/4zRSISQ+n7IP/3zz/nogxfcvyW8zuVGlAL8K9iJHB03Go20VZGg72KxYDwepxWPrBoi36faaDB35lQrFVGVAgcvX9Lv9Tg5OaHT6XBjZzdNbZZVm3SDdF0XI5meSgBdullKKsIqS1xqLOWhAaQHC/IASn4vOckVOGSM63lMpzPiZFOxLItKpUo2mwMEHJDL59E0HdOyhMg74f3IqaPkk0lbGDl0WCVwrqoWZrMZrw4O+PTTz9jf3+fJkyep4Zts02xTTDdzuWsLXdu0iJPkIdMyiaOIWrWWJkkrikI2l8PI5RhcXjIcDoFrMqacKA96vVT4PJ+LQNZWq0WxKHIla7VaGtElIQ7ZWgs5mewq/JRPKJOZ5aFdqVYFcTnBD7/q+rWsoL58ZTIZbt5/yItnT7m9s4GuKZgydjkQ04soCFGiCDMBeeWiXt2UJIYgqx1J6JSR52dnZ0m/Ltqg+/fvpzlu0hpE2nQs3CWsVFWZTCYdvaqmSWY2YzadkbVM7mzv8JO/+oTv/d79r+S8fPhXB+zeuMF8Pqfdbqd+1LLtlIRMVdMIo4h8Pk+z2SSXy9Ha2OAf/Mkf81/87f+FYjHHfO6y3mzwt/7wDzE0kXlXr9epJEknks4gmcQyhEL6/OTzeSaTSbroZDlfKBS4sb3NLz75hKt2m7OzM+JIAObz6Yx3332Xo6Mj3MWCUl5gGq7jCC+pW7cwLYuzszNu377N6ekplmXx7PPPcV2XW7dvc3V1lRIHZ7NZCuTKeykz2ERwqYaqi6qm2Wwycxxcz0NRdVAEL0o1ItSkqoxDDd3WaG5sYpoGViYDKKiqhp3LJtynDMvFAsO0GY3HLOdz6vVa+rqCIEhbVUl1kLHriiJM9yaTiRhoJJSETCaDu1jS6/UolUr8xnvvoRJzdPSK1sYGQSBIqBdn57z16B0Roa4qoGtUK1Xmkynz6Yw4DOl1uty8dQtFFanVn330EcMkRUfKrySnTcZGNRoNcai4HmuNZkoRyOfzjKaTpJqbp1jV9rbA9AzD4Or8gtlkip3NUiwV0UyDTDaLoolpqYAglhSLRXZ3d3/ls/u12KA832d9a5c//6O/T/B730c1daLktA0iBTQdVVXQVD1t7eTJ9mUaxiqXRrKIHcdhMBikhm7EpNwfqXsLQ5GLJyc6mVwOy7YYjUbpST+bzbi4uEjjeUqlImocJ8xqnb//9z7mD/7t914Dtb94cs6P/+k+f+173yOfzXL37t2UtyR9r2zbxk5ixvf29oQr42xGr99nMBjw9v0H/PB730c3xYmrJL/jaDR6rYwfDodpFVhITPOjSAQUVCoVOp0OiiKinyTLWlIffN/nw5/8hAcPHtDv96nX63Tbl8zGE8rlMs+ePaNerbJMyITLhQDFa9Uq2UyGk+Njtre305bNsizW1tZwHCd1mZQi4dShYEUN0Gg0Us2hbK2CQLz28WiEqmkYhgqaBigoGGia8HLSDB3bMrGyIpbcdz0Mw6RYKYtQTc/DXS4JopiLo2O2t7d4/sVTdF24SMrWTa4n+b7IqZ4E6qXMSVbjuVyOSqmCu1xSq9U4PDig3b5M38uluxCUEc3E0HS8pYvjzHjxch9nJsDtrGULyCGb4aNeLxXNy6BOWbFrmoaVzaSHbxwJzNIwDNbqDUDh5cuX2NlM6jShKCITcTQa8c4775DL5Wi324xGI3KWqKANy0yfmyAIUNHQks8//uADvvPb3+by4oLi+uZXPru/Bqku/+IrjMCPdcL5gMh32WhUQdFwgxhF01FjUOIYXb0mZq5uTvLzVVxKLirTNF+LUFdVlWqtCkneGorCfLHgydMnKKrC0nWJiMnmclhJv+96IrHYNHR0RaFSLqMqMZeX56iqQhhFNEolnj4/5Uf/+HMmkwUnRz3++B98xsc/OeJ733yPvGVx8+Yei+USTTdQNY1sLk82nyOMIibOlIt2m9lkShxFLKYzLMNgJ5m02dksjUYdVROZZ/Vqjdl0Ruj7lEtlxpOJ8CuPY+bLRXpSmkl68tHBK8Ig4M6d22TsDN2kRZDVYxRFbG5u0m63U6FspVwhimLaV1d4Ychbb7/D8ekpuWKRsTMjk88TxDHtdof5Ykmt0eSq0yECFEWlPxziOAt8X+BK9Xo9rRylS0QaUBlGqKpCNp9DScinoR9QzAvxdRSGaJoqxvLJEEVN7qGamM4lgCWGbRPGEaVymSiMGA+HONMpwXKJ77rYuk7nqk02k2U2EWaH/UEfy7ZF+6dALp/HXS7xgwBd01BUlY3tbQxdRwH0pB1c3xHDk2K1gm4YHB4e4ns+SgyBH6GpGm4Y0u71ODk5xTZMupdXPLj7BgUrQ9a0KORzEMVEifQkn8tRbzYo16oUSiUa62uYuQyqrtNoNlEVlelkSi6bw/PEhvX06VMGwyFbW1vc2NnC831QFEbDIdvb22SyWZ48fcpwMCAGprMpuqaxsb1FPvHJyufzGLpBHMVkcnli36fX7XJxccHeG/e+MtXla1FBhaoJ6Ny6/y6fffznfOudh4SR2LgUVUFPxIvEvIZZrILjX3XJE1rq7CTYvVgKvKhUKhETE0YhxVIJ07LI5YVTQi6fx1nMcZPRdhRFzB2HwPWAmMGgTz6fwzQNASRnbH7nvd/A8QLGMwfX0/nGwx0e/lt3mI2HwnfHsAmJGY4mCRdKw1nMsXNZ+t02mqqRyWTptq/QFBVTN5hPZ4wmYwzbwknsVkzDRFNVKqUyvW5XhDgk7aJhmgxHI0rlMqNBUlGVy0ynUwFkazrn5+dMEj/vjY0NMsUif/Ynf8I777yTvledTgfNtCiXyyw9lyAUwt1CqcRkNsP1fe6/9RbeYsH+i33WWmugKCw9D03X0ZPXsbGxwWw84u7du6kuUGq+ZPtpGAY+IWqSrSfFx71ej7W1NaIwxMpm0YAo8PCX16nTX3X/ncR3au44vPjiGaPRiFK+wI3NTbQoon/VxjYtLi8u2NjYENmLyfhe1VSIVGJVEQ85QAIdBMslL1++xHVdms0mjUYDz12yWM7Rx5pwwlSFl1QUiPSbrJ1ltJgTouAuF0xmMzZaLbz5Am+xxA+TFt8wMc0lQRiQse0kxccU01pdIw4iKuVKevDqK0Gcg+GQTqeTTrAvzi8YjIZUq1V6iYyqUqkwHo8pFosUi0UhRUq+XlbTAKZloeo6s36fq0QoXyj88nRaXv+/Z5L/y1x+FKMQ0TBcfvxH/xN/8Nd/SLVWJQgFuGqoECV+QXLCsqqWl44EcB2HLj+XZnar9h8SjAQBPuZyuVSr12g0BLbgeZi2zWg4Io4iisUCnrtg1B8wXzg4zozpZEwt8X1eLFzqzQatjRs019c5fvUK08owGHSZTyfC8UAR8o07d+8lMhs4Pj3BDXyq9Sqz6YxSNo8aRRwdHOI4DtV6jbm75P7DBxi2hRf4uLMFoefRuWwzGo6EuZ6uYZgmKJDJZgn8AC/RICqAbQi94mAw4OLigp2bexSLRTZ3dtj/4gssy8IwDNEm2DaGYZBLYpxUVSR7TKdThkOx8GPg5u3b9JPMP6l9u//wIVbiBPmLn/+cBw8fsv/FU8IwpFgspjbLw+EQy7LSiC5NE9ihTCJRFBHtVC6X0zZM3k/5ubznX74iVfyfn8ikiGNm4wmz6QwzYbCblkUYR6yvr4MCWrJZ5goigiqOY2aJ35TjONjZLO12GxAmfJZhimHHUvhiyYNTU1V0RUVXNbKZDPfu30e1DcxCHn/h4k6n/OKnP2XhONi2CYpCvV7FzOTQDJOFfz300A1h/Fer14XxXhwTx+AuxAHrux6TyVjwnGoNuldXHB4eMuh1U9trgEq1wnLpYhg6URQLRYaui0SZlWdFThClIWS9Xufx48d857vfRS+Wfz2Z5P8yl6abxJHP8at9arUan33xnO//zrcxJOi9nOMvl+j69YkLvNbiyWkfXNMXJGt6deHLKY8MZljlSW1vb6dTkfliSTSdYls2+WKRMAzSRNa1VpMXL56TyWSSSSDYdpa9vT1KjTVevXiBogj7lX5fUAum0ynf+Z3vs7//goODA1zXxTQt3rh/jwgo1Stoioo7maFEMZOaAGTzxQLa0qDT6dLaXL+2LJnN8P2AZrMpkkz8pNJLMJR6vU630wFA1zTGgyG9Xo9yucy3vvUtDNvCdV1+8bOfcXl5mY7S33777XSCddXpkM1mmS8WIhsv2XjWmk3Oz84ZdLu8fPmS7e1t1tfXRSiFpvHk00/TzT6XEA43N0WC7eXlJY1GI+WByYRb04zTdOdGo5HiLnIqJiuuOBYTMBns+lUHuKyu5SarIKplWYGrYpGQy+UwTDE9HfT7zJcLAk9gXtPplHq5grtckDEttBjWqjVURSGKY1G5hiG1SoWl7+O5LmYux3wmNI8ZO0OpVMSwTKxCjov2GePBiMvTUwJvTqlSQNNUwihkuphSyJjoqomdy4rhzIpzxdHREc50xtJz2b11k0Vi59O+uERVFN5+9DYXl+cQx0xnAjMMli63dveo1+uCRS7trRGDETubxQ39VKwtFQSSryax29b6OqPhkHrxq9nkXwsMqndxxP6f/89YypT5fMrJ6QW9QZ/NjU0ytg1hiKFpaPp19NQq5gSv+wjJP6XGShIWJYVAVlWFQiH1EVdVleFwyMuXL7m6uqLfH3ByespyvsBxnPT0tJJKZGNzg1q1RhgGnJ6eoaoaM8ehUW9cSzXCCM9b4iRxPxvrm1SaTYjihAEfC09pVaGQzxOHIZqiMuj3mIzH7O0JzErVNBRNZem6FJKsMm/p4rnCgqafGP0XKhVGw0GyGavpeDmfz3N6fEK1WqVSEUr8o+NjFEVhfX2dtx49Ip/Ps3X7Nh/85V9SLpeFqyMxpmWxdF0azTXmjsNyPsc2LQr5POPBECsB9+UhIB0kJO/s7sOHjPt9lsulCHXY2eH5s2ecnp4CYuMQBn/CbG81bKFarabuCrJKlhvSYDBIrYW/zKsLwuA6sFIRqcV2JkO5UiFfyGNmbCEZUUUox1W7Ta1WwzJN4jAiCkMMRUOJEiwTsclHCVxwenJCpVJhe2uLmTOnkM+TtW1KhWKaDFOslMnm80xnM14e7PPixXMWcwdNERY0GVu4BmRyWYaTIY3WOrppYWUyuJ6LEl1zxDKWLdJ9G3W6vQ6FfI5yqUitVuHm3i4QYRoiYv7y7Iw37r7B7Zu3aK6v0+t0cBOajKQRFPJ5soUCuUI+NayT0jHpU+Z6Ho16ncD3+dGPfsTb773/65ks/C+6nFGXlz/+P/iP/uO/xu7uGn/3v/lT7t27wdMnpwS+xV//wQ+YjfuixUPBtrNpXDPwGgax6uUD1yfpqlxitT0EUv6PrguyXS6XSyw+VKyMTRSGjIYjxuMRi/mMrY1N4jhiOptQKOTpdTrEMcQx5Ap5tndvsr+/z9J1CcOYQiHH+ckRjUaD3Z2bPH+5j6YLG5Lbt+9wcnaKomtctC+Iw4jYD8gYFiTJuaVKGTuXxQ9DQiJu3bmDM5owHgw4Oz4h8ANaG+u0Njfo9noCw8hmCYOQ8Wgk2qpikXxGhAqMxmPuvfkmf/qP/gSAer2eEiMBQRu4eZPTszP27t6mXC5j6gb5bJb5zOHFs+eUi0X6vT5RGPLw7Udk8zlGoxG2bXNwcEC73SaOY37wwx/y7OlT1DhK+VKu63L79u2U6vDi5Ut0O8Ns6rBWq1JawUjk5ipTieX0DK55QXDNeZNrIFKu77+aVM31ZoMYGE8neMsl9XKVTz75hN98731GScU0HgqjNy+xg8kkLqFxHKfBGNI9YtWRQcqkwjBk6swwbBF9HoYhKAqe7xLFgpA7GQz5+ccfYtviwDQzFrt3bhIFYJlZnJmQX2UymTRE0094elEUYRYyqKFQG5RKFaxshtOXB+IwCiMWjoOCymQspDSu66LpGvlcnkKhQLlcJpfPEQOLMGA8GFCr1VJmv7QtchyHfr9PHIso9nvfeP/r2eJ1Dz7hB7//iN1dEV06GjnU6kX+5r/7u/xn/+n/wG+9/z4F2yb0A4JQLELpYLAq6lwlb34ZOP0yV0pWX5KqsCqNkZucbiT8oct2ErRYopC0U/OFg6qqzJ15iomAQrFYZDwe0+12MQwTzw/wvGVqvSoJgKvunqZpki8WiIiwDBN8kY+mqRqDfl9Emasqk+GQSImTGHObMF9gfX2DXreLbdupGNqUspI4Zntnh1w+zzJZbLqui7SThPsl/cFlrJbMDOx2uymAXanVGHS72IZoAwzTTPGt9fV1FssFqEraMl9cXFAoFCgUCuiJrcyw100tTTY3N1NpyIePH/P46TMevX2LxXzJX/78p/zwO9+l2WymbdwqaXaVCvDlKe7qJduwKBIpMHEc4wc+B4eHKKpQJGgIVvZgMODk5IT5zEFBPNBx4mwgycIxMWEcoSeQQbVRx9B1ur1equ/UEj5XNpslW8jjJk6V5XIZZaGiaSrj0YSDFy8pFMpouoKqqbxx/z5u6GGZBqamM3U9XGeOpenECUfNThjwg8GA8ckhd+/cQUNhOZtiaiqHL1/y4MEDPvv0U3w/QFV1YiCXy1ErFlA1DTtZF4qmEkYxU2fGcCSE6Z2klZeHeTabTWVAkmf3q65f+w1qOe5w/94b6d9Hwxnlcp5MxmJzUzhh3ru1i++6eH7IdHrNlVl1MZCbkty4voxHpf5KcsEmmJS6srCk8ZyqqphxzHwypt5osL6+zi9+8Zjdna1EErKgWqsQJjyZ6XQGKFxeXpIrlNjd3WU8HjMaT7lz5w5HB/tMJhN8T4zVT88uOD8/p92+wvU9bt29kyT+CrnFZDDk8ly4TmqGTllRqNWqlKoVFq5LIZOjWq+hKYrgCKlqynKXAZWj4ZCtG1t0rq4wdJ3xYJj6aH3x7Avm8znf/OY3CYKAi4sLHj16lMo1MpkM1VqNSquJqiocnZzwm994H9U0sS4uGXR7hEHA4atDMn3xMEph8NbWFuubm6y1Wvz0ww/T9NxSqcT29javXr2iWKvxVx9+xOcv9vnb//nfolQSwPTBwQX/1X/5f/LowcPUhkWaAko2utTyyfAJKfaVeGOU0A1W10YUx3Q6XcIoYjQa4i6XeM4CVVH4+OOPRcBotUY+mxVaz0C4dAYKKKaOkVRzViZDHEU4S0Fy1TMWxUxObGihSEFGvU4iUhSFk9Odr2GyAAAgAElEQVQTLttXlEsVZtMp+XyB2w8fYus6umUynQ7JZit4kznBeM6sN8QdzyCbo5QrEAchoRKiqCr5fJari3MOX7zg/OKcYrHE+toahCGPP/6YUrnMcDkkVyhiJvmRlUolVRuMhkP8OCL0luiG4Nw9fvw4zZqUrbmUxUgKymw241dtUb/2G5RuZej1JuzsrhFFMaORQ7mcI4piBoMppZzNdDYjjmICP0zfxFXXQwmEy7ZgVUIC11WVJOHBdYsgv2YymaSjd8uyRNRUGDIZDoWxWrGIM3FYzl3m8yWaOqVcKZPNFqhUmwkzW2x+lm4RBzE7W1vYuoVp2BCLE5vFgla9hm4aDAZDFrMJ4WLJ1WQijLJyedq9LtW1BltbWzx58oTnT7+gsdZkPJ5w+84dxqMx9VqVQrVMdVKlWMzz/MVTVE1H03Va65u8/433ODo6IpvIRer1umDRl8oM+33KxQrFap3PfvoxjjPl1Fty6/Yeqr4uYrA26mTLNX7x8YcUTJNh54JCPke1ZNO9mGHqKrmsSX29QX8wEO1Dpc7Gzg5ffP6EfKFIt9enXKkRRfDo0TuJbMjjs58/xo1ivvs7j9LNCeDWrQ22t9d48nKf9955W8iSTAN/KR7QheemIQG6JZj3ruuK/EBTbFZhQrkwEtmOvO+WbtAsV6nmRftYr9ZEG9MR2YHFcolyURgLTiYT9IxNTCTUC4ndi9QqyrF7IZ9HVzWWif/80nMxdCGE1xJJUaNeZ3d7h0xGRL6rmorveZyfn6XSp0azyZNPHxO5Lo16nUzBYjDss7bZEq2aonBwdIzrLiCMmExHVOp19m7uYZkWF1dtilaJ2XRKLpNBVVQMVWgIM8lkrn11hZ3QO+RkU3pEWbbN0dER9+7do1arpTFsINjqn376KbsP3/rq5/f/k13hX6GrvPUmf/wnH/HWoz3cpYdlGZimzk/+6hkZ26ZZLTNbLAnDSGA0Cbdp1fdaGo3JzQpIdXtACpivCoPlJRew9FTKZDKibUwkGfPEplbXderVGt5SALbu0iUKYpaRx2TSS/V8ctJlmiYLZ47vCrB3NBqlrVStVqNWq1Eti9Ot3bnCWbiphktWhPv7+4I7lLG5vLpCVVSiOKbZEHjK5fk5RyfHxEHIxsY61WoVVdNprt/gKkkens/n3Lp1C1UV0VCmbZErFijkCpy9fEm/26NSKzOdT/ni2VOmsxnf/s538DwXhgNUFAxNYeHMcR2Hk5MjPF+MrN25i3N2zK1bd2muraFbFs+fXm+UhUKJ7e0d9hdCK3ZxccH9+/d5+vQpjjOjrv3yuaxqCpZpimo0l0uZ3LI6Wp3cSRmSdFeVMpVVTWJ6SCWMeklR+PTkFN/3aTab15q8hHSrmwZWxsZMWlcpQJdWMBKDUhSFfuKQqoaC8iDTZCzLwkoUAiJbMWQ6nXBwcCBSbBK7oUKhwBdPn6KrGna5hG5qKK6KZsL5+bk4fIMANRYtW87OkMlnaG2s47ouL18dsPBcIk1sFXEMhq6ztt6imNhKO46TpgHJ1OblYpHqHv3kd1wuhWxHWq5I6sG77777K5/fX/sNqrZ1l2nnkL/zd/533n1nB8s2+O//u/+bJ58d8+/8wb+Jl0yHFNTrKc2KsZg83aRDo9yYVsFy+e9yUX2VyFhKLtbW14VJHuIBaNTrQvhqGMKfOUkOtiyLIAxQ4mvvKZkQLIWfmUyGQiHP8fFRKtaU6TUA4/FY2NJubXN8dk4ome7VKsPhkCAIUuvXo+NjImJhaGfZqdWJ67psttapVisoikI+X8BPzOlkaT+fz9MWdrFYCHZ1Iv3RdY0bN27wbP8Zhi4i2PdfvBDj/UWSLKOpDBigKTCeTFEVFVXVyRdzzEORHKOoCv1ej8l0wlprgzgKCUKfmTOlWCxwcnRMqVTCTPLz7t68xZ/9+Md8//vvkM2KaPvz8x6vDi7417/3r6X+6quCcXkgrbZvcvOS0qbVtfDlgYg8oEAEZ0iPdLnRybZMioQtO8MyIfXqup5a70h5lAgYiF5zcU0Jj6aJoqpMxmNG4zGmrtPpdGi326leVNO0tFoploqYusZyIWxy5L1WU/xNw/dDNm9tougq8/mCq84V7asrctkcvutjGSa5XJ71GzeoVCqEycZj2zbTyQTTshgOBgRBQKFQEPcjyZKULgfSy34wGHDr1i3hHXZ+ztrNr3Y0+LWf4gFEisLw/CX9/Z/ijHp8871v8I0371HI2mi6wXzpoSRWG1ECYK4GJkggVVZQMqpH5thJDENehmH8EsBq23ZKSXAch80bN2i32xTyefr9PhsbGwSux8sX+6mA0/VcVNNAT0S+ICKhLNOkWq1Rbja4Oj2l3xUgpOQGxYl+7/Lykkqlgu/7vHz5ilw+z3vffJ+zszPWNzfJJhlpUicYRhEv9vcZ9PtiUfoumqpwc2eX4ahPs9lkY/MGg+GEp0+f8s1vfYswjvn88WMajUbqQZ3LZlnMphweHorFO5uhW6KyvPPGHbpdIYNZTOZJu+snhwJkM1lMw8SZTVm4LrffesidO2+gGwbTyZTHnzzmzQcPyWSzvHj+nLXmGhenp5yfnaPrOrs7O5yenlIqlXh+csyTF8/55jffYDH3+OnPnvN73/kub9y6mVZ80UqLJQ8aeVCt3stVbZ+cyMpDbLWikvc8CkMMw0RRRQWhJ1FaxUIBJUmsQSE1hJMhmvV6XVRHlpXy2SStROrmZKSW4zi8evXqNY99uRnKjW5vb4+TkxMsTUVVIs7PTlkuPKqNOg8evCnisyoVAtdnNnfI2RZu4NMfDnAWc6Ej9QM2Wut0Lq8gjihWqiw9j1w2y7Pnz0XmZBK8qkSCH6bqIhBV5uQ1Gg1OTk5SPlwmk+Hs7Iz7Dx4Iy5tS5es5xQOx8Jo792jU6/zsj/9H7t1/iG0baIZJEEbEiiZy3mIRCSUXnayg5HjUtu30+0lbEXnCSk8c2eKtSmakoFbX9ZTY9mJ/H0VRGI1G1JMxbNayWV9fF/YduRzlWoWXh4dkEib62dkZnu+zt7cHqsJkMMBIIp86nQ57e3ucnp6Sz+eZzWap7fBwOOTGxia5fI7paMzG+gZRFHF4eMjm1g2xIVYreK7Ht779bbz5gvOzM87PT1nMnZSnJS2ER6Mpa2trEEXMEnlDo9FIrYZHoyFPPv1EEAozGbZ3t+gNRrRaLcI4ol5vUi6XmQ4HgkxpZkQbZJloSSWRz+cplcsEqoJmZxgPRwz7Q3zXYzQcoCoxvc4V434P3xXyjWxW5OPt7OzQbDZ59913+fN/9s+46HSYLzz+/T/8Q9yEOGjbdurXJKkFkmDruu5rlai0EJG8qOl0+pr/0ZfpJ1IqEoYhoR+IWPVA/DmZiSTiTqdD4Pu0Wi2azSau61KpVNKfryhK6jYgKy/5muTBqGkaGxsikVdWTPV6nVwul3K0vIR2MRsNWS4cGo0Gk/GM+XyObduCjjGdEscCG+33BhweHaGaBq2NdaaOEK4b+oDuYCDW/GJBvlhgvlwSRiF7e3uoikgKrtVqODMHL/DJ5nNpJQjX7rSlUonpdMr6+jrnl0Ic/+ibv/WVz+7XYoNSNYMgitBUgxu7t9jf36fxjUdougFKxDIQFdQqCC5bNWkbIjlOstpYLbvlJSc9X/aVkpuWaZqpJYuk+kst0mAwYDFzGPT6WJZFt9ulOhfePLu7u+Ty+dQXqdvtpkzm5XKBreuUy2U+//zzVJirKArlcpnZbCZsgIMYFIXDV4fYuQxBJAzzDo+OMCxTMMYtO3F58NjY3ETXFKIopHMpiIZBEICi0mq1ODs7Sx9aKfG5vLzEcRwmkxGWZTCfz1Jbl/XNLaxslhgVJYrodK7S1mqttUapVmM2mfHhRx9x/803qa+1mEwmFKsV/IXL4KrLbDJBVwVZ8PTVITlD59133uX49ILm2hpXV1d0u91U5uI4DhtraxRzORRdo1at0uv1hOVwIrdZvedwrcWU7ciq5EleEkuUD9wqFiUv2QKufu9VL7Bms4mCsKdxHCcNN63WahwdHgr/KNOkUi5jWdZrDqGrP08Kr0FU6c21NeHBns/jzueYmQy9qysIfXq9HrPpGM8NsLIZjo6OGAwGBGHEcDiiXK3gLzwm0wn5UokgCCkUili2j2LoZHI5lq5Hf3zK+7/1LTzfJ5vNMR6PCXyfh/cfcPjygLnjYGczmLaVQhOqqqZdx6tXr7Btm0oi42qtr//KZ/frsUGpgoBnajprmzt88eRn/O5vf1OU+HHMMoTQ81AU0hJ/1eJXbkqSYCYX66o3+Wp0lbQclotX4hJyM8rn8xSTdrHRaODMZoKFXSpTq1SZTCZcXV3hX0UYGYupM8P1PayMzf6B0LL5oSCAzsYTmrXrCmo2m9HpdKjX65yfn4vsu3qdcrWCm0xxuv0e2aJg+parFRRD52c//Snz2ZylM6fZaLKzvZ20QGIkPnMmgimsGQyGQjcnx8Rra2uplcyrV6/IZi2KuSz33riHaZrM5gu63S5ra+tkymUujo/p9/qcHh1w9427ZAoFYuDTzz4DVUVTNCI0DDvLpD/m/OyM8XiESkzRzhD7PjN/ThSGfPTjH1NorPHhhx+iJ/qvWr3Oi+fPU5M7y7Kwspm0wjUMIz1kJM4kNyq5ocj7LTcFWTXL+y4xxdXwg9VLURRQFSzLTgmgcrIbxxFWxsbSBRtdVlDHx8dpRPzR0RH1ej0lksrXJCvyVbxMAudxHHNxfs6rV6+4desWlmXRbrexbRtv4WDZFnGUw3PH1Go1SqWSsFEOAsbjKf1en8liwcb6Bu9++7fx3QUi70WIfA3L4qMPPuDOG3dRVIXLThs/EM4KGxsbHL86xE/WmJ3LEWtiYil1mIZh0Gq10gM6CAIiRZBbm7/i2f1abFBRrIjIHVOjVF1jOp0xGA7J2q2EkS1OuyCO0uCE1Xgg2aLJE1eC4UA6LVkld64uWIkNhAmPReIY7nJJvlCg1+uhSVzLFvYkknlt5TJ4UZi2mY7jiNMxYbpLAmUYhilOIZODBwMhSalWq7iuS2/ZpVwus729zdrmBh989CHdfo9mq4UX+ozGY1QUdnd3ydoZFos5zbUdhv1eurjm8zm5fJFMQuyTD7/kE02nU1ElKCo3b+5RKBXwluI1be/e5PnzfVRNfC1xDCTDAtdjtlgSRTHe0kfVDUJiwgiGgwGT0ZiF41ApFVGJGU0mLBdzbu3tcnXV4bJ9CYjN4v6DBzz+5JNUYjGbzURWG6TeWFKOJO+h3IikOFjKXuTUVGYnrnLf/nluByBcMjS01ygrEr+UP9NLQgQkm3y5XKaR6fLvEmta9W1alVzJzVO+Djnm39/fJ5vNcnl5KYiQgY+mwng0wLay7OztkcsVUGyb5WgEiIO12xHaTk1VcTwPwxbuA57rctVuU6lWubG1lUiBDMqNInEoJCx6cuDalsXS90DR065jPBabYq/XS3Ep07bStf2rrq+FFg8ECc91XRQiMopH/+qCzXKecLkkjMVDFXoe3mKJ1JbEUYSpG+LDMFBQsGz7Nc2drJ4kvwmugXG5gCS3ZpUjlc1mCeII2xLfbzQec3h0xPnZGb1+HxSF7b1diqUypmkRSRtX00paD7GgKuUSnfYZg0GP3mUbU9fI6BbNRgPDMhlMppjZLO7SZeY4nF9eoCoKGcsiCkO8xRIljPnWb36Lne1toiikVCpSrFZQgSiG3mCIF4QMRxMUVWd7a4er9hWDfo8o8GnWa3zx2WNylk5G10TE1d49spUGERrHJ2ds7+7y2aefsrHeolwqEYYBhpVhMByTyQqrmlw+x2I+E7ovVeHg6ec44x45W6dYyKLEAaoSs1g6GKbBVa/L/bcfkS8Wefudt6nXa5wevKJ71eathw9FHDkxmqkTei4QkrVtTF0nJiZKJESKKugVvu+jaAnuqGropkEQhYCCpmsiNiuK0VYqJ3k/vxzKGcdgrIR3yDVjmqYQYy8WmIqGGkH3qsP+ixf4rk8+EQQ3a3VarXVGwz7TyZhCLsdyMcfQNCzDwHOXRGFAHIWohkJEgKrGBL6LZagsJhOC5RxbVcF1aVYr2KbBcDQkMg1uP3xIpGoMhkP+9E9/xHvvvseg1yebz3F8fspy7qAqCvPpjND1CD2fF8+ecfvmTQrZLMevDihls/TbbaajIfPpFMu2KJRLeJGPGwSMx2NarVZKrZHMd4lXxrGIP+93utzYu/mVWryvxQYVxzF6KkEIaJWzfPjhBzx7dUStWMK2s6I/dt3kZCd1tVxt25aLBay0bLJMlRXGlwM95YYkq7BVyxYpMlUUBS1hYBeLRVpra7RaLZFcWyqhasKOIwgCut0u2WyWi4uLNGHF0DVeHbwQgZdWBj/R6AWBj7NYoKiaMNCLhG4sl8+jKArbu7uYhsHF+TmaqjLqD+h3e2RtG9/1mY3H6KoOUcR0MqFZb+C7wuZXBCm4zCZTdF0jY5vU61Wm4wkzZ4aZyWLmipweHfHhTz5gPneI/JByuUTo+XSuOuSyNrZp47kugedDHONMp5iGQTGfx1ssmDszspbBYNBnuVxQr9eIYvGe1hsNFu4SZz5nMBgx6PfZf7FP4HkoMUwnU8aTCY/eeRs/CPBcgSVquoZhCEa2qgnQWTMEjmbZYnqmqMIFQN57TReEzVw+j27oqahXtlqr1VeqyYxjDNNIByVyjfR6vVRkHfkBViJlqVVFwOag38f3vDRkYTqZYGeED3utVqPdbgvTuXw+PfRiBfxAkCPDMEBXVQr5XHKoxsRRiOsuGY1G5MsVtm7uUSiXOW+3RYJMpUapVOWjD35CTMz3f/j7ONMpBwcHdLtdHMdhPBql63Iw7BN4vrD0NU2ymSyNep1cscD5xQULd8loPKZeq6cYmWxxJYNcVVUODg4wDYNKuUylufb1NazTdJWlO8cyLCI/xFMspo7D1HFY+j6KAp7nEnouYRJnVCwW01JaLi7DNPECP52iSAxCGvZL/tOXvaNW+TaQAO4pNSF+DUiVPKfLy0sM28YPrm1YlBg0RWX7xhbT6ZSMZfPzn36MGkXkMhnKpSpX7TaqZtAdDgijiPpai1KhyHG3L7RvCbXg2VPhofTWW2/R6/WEPXAY0W93UmvfLz79XHhXuS6T/lAEUfo+jq6Rz2YplQpoqsoXX3yBEsXEhDRbLQajCZfn59y/d484CoRDQ+iTz2Q5OTniwYMH7O/vs7GxgWnqCbY3TeUn06kQVxu60JjlcgKIffbsGTdu3Eg5V9VKJXmQRStWLBawNCP10z4+O+Gq3aYz6BN4y+uhhWYSxBG6IUz94jiJmo8TX7BYuKvKE96ZCg/2+UxwiBRIgzFWcxNlFSVpHu5imbZ4vusxHU+olMrYts3z58+plcq/pEzIJQLi5XLJy/195guHeqOehhPI6XG/32c2mwnRby5DREykgKro6Ib4eapuUizbqW+Vatm89RvvYOZy+EHI8eEh3tJls9Hii08fiyRkUydM8NHf/eEPOXv1CjchWB4fH6PrOnbGYnNjg9l4QiGb49XBAZ7nYeeyhECukGNjY5Nswm73fZ/JRNi0TKdTnj9/LqxWWq3U7/5XXV+LDUpXFZa+j2pnCQMFPxQn2n/yH/yHqPiMZvOk/RPugoZtkclfp+miirhmK2MTL6/FxNI3Sk4n5CJbNUWT32PV6xwgCENUXUPT9Ney+Fa/btDvUapUMAydIPATQ7AQyzKJ4xyLxRyUODW1i8IBrfV1nLkANxvNJn4Up7ln1Wo1fbgHiTFcsVjk4OCAMAjxEqpDISfy5oxSWYSbAhtrLaazGRERXuijEKf0CNOspTIN08rQaGYZTR3Oz0/ZvrHF508+4+G9++TzWfq9Dp7rks9lEPmzgoWdsW0K+TxXV1cM+n3K5TLFYhFCH8cRYQPFYpFl4gSgKArtdpt7jx7R7w4FKVA32Gy1OHx1SDabRVM1gkS/1+u0X7NNMQ2TMIpfkzNZCdAs76/kHkmsLSVVJhjVKmFTbkQSPJfg+ypHTm5gg8Eg8e0WtBXTNIkVBCE18ZsvJ4OayWQkKqwEv2k0GoxGwhXBNEX4QEScwg1hHKRVIaoi7F2AfLFIsVwhikA3RW5doyYCXAftDvkkZuv+nfvX74miUKlW0VSVmeOIzaRaxfOWDAcDMpZFr9cTr7dcRrNMDMtENw1U7Rp3VVU1dTE1TZP19fXXqs8nT57w7nd+56uf3f/XdoF/ha/A97AtA9f3URSdwMhj21nO+kPubq2zW22w9DyC4NpqQ3JRvERW0k8SgosFkdoqTbgkQVJyoYDUjH51Ya62f0L9Lha4usJiVrgGYNfX1+n2ulx12mxtbSXxSCqlYj4p9ysUCwUuTvIEfiDIjY7DeDYlXyixeeMGGxsbvHz5ijipCq6urtLF/uY77wgw2PfRDYMbmzfod7vMpzMGgwHlsjjdM5bFo3ffFckgvS7OwkEzNRQiqtUytm3ieQGlUoXFconn+0wmU2bzJdtbWzjzGe88ehvbNoX1cTHPs2dPKWRzifUMzOczdF1PFO8h29s3kipViG9ldtzFxQX1ej0FlyuVCpamCS7PfI6mqpBMXD/99FMM2+Tw8JD7bz5MqR6St+R5HpouhKsR8TXfzfeZJQEMEgjXNI0wEO3Yqr2O/D9ZRRmGIdwgcjlURcFPfMIkDhX4Pk4YMplMCHyfTr9Hs9lEMw00VcXOZMRwQFbcQcCNG1v4iVmg9FmXU7Dlcsn6+jpeEOCHPt5SrF/DMDAUlUiLks3KIpvLoWey6JbNoNsXsWRByBtvvY23viFiqC4uqDSbHB++EgduEBArIvdwMZ/z4O23UYOA4ThAN3TOz87xly56wpI3MoKLZiW0Aini7g8GFItF8vl84txRRtM0ZrNZmtT9q66vxQalpPGcKpGi4Csm5VqT03aHO1ubQJx8Da/FSQGvTWoK+XzKQ7Es4ckzHA7TQEhZ8svTTJ7EEiSVvCorCRpYJuJUTdNEAoauo2h66qstnAN6HL48ENFZN2+ymDkYqgaB4Cflshkuj4/RTYN6Y42RM2X35h6lcpmjU8HcnU0El8owDC4vLwnDkOODA5Fi6zgYSdBkPp8na2eoNxqsbW3Rv7zAME1ePnuGl7gl6romYrs0Vfhimwbdbpf1jQ3K5Srj2RTD89msVllba3J5do6jKvzs4ycoUUR/0KVarTIYCjZ5sVhEiWIuTs+o1WrEQUj7/CI9AMIoTNueOI65vLxkuVzSbDaFJ3a3S61WYzIeAwqj0ThVAoyGI269cRfLsrhIotorlQqGbhEso9SqWdGu73HGtOjOF5jaNWcJIAqjZC2IWCqJrUhKiZy2lUolUX0tlqIy9oPUbE9VVYgjTE2nXCii6NcyGslZk4eV3FAV9dpFQ075gFSPuVwuRbW0wnIwTVNU9YEgB1vZDJplE6kKncEAb7Hk8OAA09D4+U/+EjWGztWl+Nn6pzhLwV7/4IMPGAwGPHr0iDtvvMHCcWhfXuJ6S05PTshnxMS5kKQWlYpFNF1Uofl8ntOTs7SClKaDMq5MtPJCbvQgScT+quvrsUHJm6dAjE6khGSLNS4uLlh6D1GiAM000A0DZ+6kE78gCARlPym/c9kcC8dhY2ODbDZLp9OhWCym1r6rui54ndwpN7ZMggEtEjYukcCt6vU6i/mcbIKnKJrGbDahVC6w1nqHfr/Pq0Nhf5vP5/EDl/1XL/n82QumSXprvXzFvXt3KFUrXFxc4Hken3/6mcBq3CXTBAfYu3uXcQLWnp+fM0jcAsIoIozFqfvks19gW2IknynmGV+22d3bEa1S4NLrdpnN5+iGiW5YhGHMIlHb3755m+lkjLdYcnJyhAKi+oh8bty4wXg8xjYtFDXm4vJMgMimThj5RHFAp9tPBw2SgyYdExzHoVgsEgSB0PoZBn4UpY6V4/6Q0XBIGIW01lust1ocHB+lspYgCJhN5yw8l2yugKaRHk6mpnF5dZW2T6ukW3nwqKoKmppObOU9lh+LxUKM/aPr8b/EpOQasJNoeyubIZMVBonj8Vi00wnInk0inAJVxbbEZp3L5dje3mY0GgGiUmo2mwRRTJhw9ESLqRPFPqpmYFo2KAqu7+O5Qp4SRYJFHvsel6dnxHGIqWkEgB9EFArCkaHVaomA17093MWCXrdLLpfDmc/Y3t6mWa8z7Pa5sbnJ5eUl09mM7Z0d0FXiGGq12mvY7HA4TLsTGZv+9OlTer0e6+XqVz67X4sNSiUmJkaJY2JFIUKlWG1y8NkHeGEEgYsZhUSqkpbXsgJa1WrNZlMCz08X3GAwIAwFkVGW+FL9nk5zVsh+q4B5+n9cn5Cj0YhiPo9hmRwdHuF5S/J54XiYTyLSXdfj/HyfH3/yCZdXXW6/s8num5vEcUz7aMD/9g//EZ+/POCHv/u7mKawDy6Vy9TWGnTaVwIT8320pKUqlUp4vo9mCKylUq3y4vlztre3E8fDiHK1wnw55+joiMBfYhsaigpxLLg81VoDN/CwVcEenkwnqECn06ZardDvdSFSyecLxKH4nYvFErPFnDhGmPUDKAp+EKIbBradSfWBQtAK49EY1/PIZjOpzXIYhCw9DyXRv+mGnoSUqhQKRY6Ojlgs5tSqFRaLOePxhOXCRTX0a75aFCeVinA6iLPZlLktq5nU4hdQVtw2pRuBrJLTAA3Pf02rt8o6l1W5YVtUE/xwtQJfddSIFLBMgXVK3KZYvLYvXi6XzJcu+STDLo6FYgCSTdUUrbVmmpiajqkbqPk8frXKYjpBAYbDvsiKjKBcrlCqN6nVqnjLZcIHjNOJs+cJSdfG7i6z6QzXdel0OqJ1q9fQDV1QMxTx873EG980DU5Pz7h5c09w6pLWrlar0fzaM8njCDUOQXFRVZFColU3GI8HLBUTy9BQDJVMNoMfhWIkH4OhCQKmZZqMnClxGGMogmw3Ho9TfZ20kjJ/MkYAACAASURBVHBdN42fkuCqtJOVbFoJyK6vtZhNJsQoeIHH1HGYTKccnBzjei7jsfCOCk49bt++LUiZZpbT42P+r3/yT7j73g2+/+/9AMO8voX3399hOff4qz/6nP/27/2v/I3vfx+UiMv2GaoW0rk6Y3t7l2H/ip89foyuGyJsoFhA0TQKlTIn52fc2NkiV8ixcB2KhTyd9gWttZrwBC/ncGYzYl8TXuKNBtmMwWzm0B32cOYOOTtDOZfDWcwZDscoqkZ/4tBobTIcjkDL4MY68wiqG1sYyQPY7/epb9xgbW2NMAi5vLxkPp2ga8IPezGeYZo287knItN1G0VRMTT3msoRC/Z9DBiWSX844Dfff5/Hv/gMNJWlF2LYQvtHHKOqQBxh6RaOM8PM2MzdJYVyKbVrVlUVRdcIk0orpxvEodgsnIkIR5VpMqPRKH0dqioSWFRNw48S5nmi55MKg/OzM0ajkaCVJFHiui6oDJVymX7nCs8WGXmBHyctp6hQVFXB8wQdQm4SpVIpdb2wTBMljlGimIxugKoRBwHFXIGN9XXiKCRWFCbdDq4rNqNxf4Ae+PiLJf3hCCuTSyplnZCQ2WRMzjK4PD1GUzU63S5X3TZbWztYto1lZfGcGbahM54MicKQXKEknBp0AyWC6XBMHMdMHKEJlBvqV11fCx6UKOEVIkUlRgcFlChgcPGK9dYmrXoNVY2FwNPzuWpfCTKeqpIvFJglaSClUhFv6aLAa8Lg8XgsQMekstJ1nX5ftCmdTidlmk8mkzRY4ODlAZ32FYvlgsV8QX8wEMZmpZIIoWw22NnZYWdnR/hFaeJ0/aMf/WN23l7j/R/cYzVhWF66obH7oMXlaZ+Lsx7vvf12EtwgNsbJZMpgNGRre5cbN25wY3eX48OjVE4hsK49ut0Ow+FAJA0jaBiuuxSiZhm8mUhJHMdhNBqSz+eYjMfomoqmauKE9T18P8DzfEzT5uz8DD/wufPGXe7cfYPNnW3m8zmNeoOjoyO+9Z3v4rteKmZtX4pkEVldWFbSHpkWFxeXgBDiyisMQxGOmjy0qqoKiQgKalIJyRZcsuDlKNx13fRDbnirLHBZRcVhlMpIhOWNqG7Pz8+vE4EU0YLJ9SA/Vn2lHMdhNhN6RakUWNUIhmGIZZq47oL5fE41McHTdYMgCFNwebFYkMuLocNyuUxpMp7nMZvNxORWVYVL6eEhg36feq1K9/KSyXBIp3NFq7XGT37yE5zZDDubZTKZgqoTRhGbW5t0uh3C0Mc0dMbDIe5iwdyZs7u3R2t9nUxGVPqL+YKLi3PWNtYFTlUU0IEfBol1s0ulWgVV5cXLfTY3N3n54gWbX2eiJqhEikaETqyoKMQYCswHHXRdYXN9DU2FXD4nyIeqSq1cQVc12peX4oSzbTJ2hsAPrlmwyYMznU5THEoC4ZlMhlevXqWyFFlBmaYpAgRiePDgAcVyicZak83NTW7evEk+l0fTdAxdx5nNuLw8ZzIe4bkug+GQj37xmN//m99IwdOvuhRFobVb5S/+4SfsbW6gCl4ow+EQ286gairN5hqDwYCffvQR8/mCvT1RetdqNXzfYzadUq/XmE6nuMslrdZa6h0lN7LFYsFwOEynmXEc02w2ceZzFnOBxRiWTRjFlGs1Fos57777G7zz/nvoioJuqFxdXnB0+IpKpYxlWxAGOM6M8XiEbVsCwA8Cbt6+za1bt6jV64wHQwaDAaVSieFwSKlyzSeSOJC8R3EcJxO7/4e8N/mRZMvS+342m5u7mQ8xecwROed7+YaqYnd1Vw+URDabagmkpKaohdAQIUiQAEJa6a/QQksttCEECNSwEEWoRRAE1SSrurq7hjdkvvcyX84xh8/zZLMW166FR1ZmdRNasfMCgcwM9/TwcLt27jnf+c73GaQKOem2WCzm5bYsweS/Xdel3+/nlIxl2R2AOIxydxKJa0lTh9xsYymwyWsCXNs3MjuT1IRKpXLt+b1eD0PXODp6LdyfrUL2uIKqannJWCyVaDQbdDodbNvGdV3mmQpnrkOlqoSh0GmqVWs8fPSQs9MTBoMBg8GAnZ1tobAQ+fz6b/0WnXaXoluiVCqiaxpFu8B8MuLVi2fEQUitWmVne4f61hbtdpvJZIrreSRJSrFU4vGTx9ilIuPZVFBeNjYYjUcCzwp9zi4vWFtdYz6f851f/VXQ9Pc3QCWoJIpKgiK8wKIAg4hwMWbQuuCDu3eJgjn+wkdThOVSwRKmmmdnZ4SxkD8R7r3CUFFfStUty8qHL5MkodlsUiwW8ylu3/cpl8s581eQPg1G00ne3SgUxDDrYrFgPpuhq0K61S05xFFE4C/4ox//mJ0PVti+ufbn/s6GqdNrjuhc9Nnf3kLXtXzGz7QswTCv1dB1nTt37+UZy+eff06xWGQ8GpEkMWtrq6RxQrPZIAxDJpMJlmVxeHjIxsYGa2trwkE5FXbjo9FIyJCUPFbXN4gTUDUdSNna2sK2TaazKacnx1gFi4dffEmlUqbVbFKtVAn8BZZl0mhcQir802xTjOUMBgMaGfjvloSlUZzpdadpiu/7eSdN6qcDWLZNsVjCKRbzEny5fJNgtpy7k0Rceb1kFhRnWmFpnFCtVq9NGkj6gQTSpXW5zIaWZ/fk8yWvStM00V3MphHka/T6fbxikcFQEGdLRTcLdCJAyddBAcsWe1A2A+CKcydn+wpZ5htHEU7RYaVazbJzjdFoyM7ONmEQcHlxQazAyuoak/FYSPKkCa+ff4s/m2JbNuvr61RqK3zx+ec0m03uffwJcRgyny/w/YCi5xEkkfBdNAxW6xugqjiey7fPn9LpdfnwwQOOX79mMZ2yUt98f5nkKCopkKSJqNvnI2I9Rdc0JsGCJApJokiI1QUhSSCMCGfTKWkiNKJM0yTwg1ybZ/l0lFwX+RWGodDnrlQEwzab35NKimmaMs4GJt/UEZIsc8n1WV1dwzJNJpkd+Mb+9l/4167v12h8NWA4HOK6xaxdH+fDyuOMDJgbOWQ6SaZhUKlUIE35s8++4PnJGcPxCEPXWa9W+eTOTY6OjigWi4xGI5JEeACKYG0TxwnD0ZjJZJpLnxwe7KEo5Fys4bCP3hCBK44ixqMRQ8cRPKfssy9kWet0Os3b6r7v42TZm2ReV1eF+UWaClca2S2SN2sh6xylqshcZPNgmUqyzG1SVTWnecggIoHrJEnQFTUHxpeB7+XsR7q9SBqJHIeRQLvMQuGqEzifz+l2u9RqNYFpLha4npeXfVKDStOu5joBkiwDWyaiSlBedtGiKMoPF3mth70xw+GQsucxn0/zPWrbFsPJiPFIWJ9Fvs9k0MNfLChYNpqqsnNwwOXJOY5TxC4UsDSNwXzOfD7HLXuga1TWV/A8T2C1moZhGsJUwvfZ29/PAfda7e0dPHhPApSSMWpJYuLZgM/+yT8QmVQc87f/1n+IlsYiS0kSRsMhq9UaT58+zXk6m5tbWIUC3U4n76TIlF9KsEj520qlkishSJE7VRUuwJPJJA9wK6urpIoYXUmThP5gwOtXr7hz5w7FgoOh6xCHWI7DeDRilIGvvLuye8svDrZtcXBwQLfbzsTQFriKx8XlBR9+/AmaYdBuCXF7aQH08NEjmsMRD79+jLO3jnN/l2LhkDSKuTzv8Oyf/0tWKxUeHOzgWCYHBweMRiOGw6HAVuYLDLuEBvzab/yArx8+4s4nH/Py629otRrU63X2dneY+z43Dg7o9/vcv3uXkltC1wQPrb6+ThRdfY6KogiTVa4EA6UqZq/Xy4O9bdt5Juu6LkdHR6Kzagu7JoDxeJxfv+VMSl5HuE6uBfL3kSQJdsHJOTzyuTIoSKke6TW33ESR+0W+luz8RVGE7/sMBgPCMMyt2MMw5NGjhwTBIg9Sb5N2SbP3tzykLmEF+fpCB18TagcLn26vw3Q0zF1ZhsMh4/GQ+x/c41/98Ed8/Ol3OTjcQ9cMTl69EmD9fC62XxDywz/6I7Y2twWJVNfRMmb/xsYmr16+4ld+/dcor9ZQdJ0oCFB1AyWFh59/waff+Y6APBQ1n8t713ovAlSSxJAkWJqKEiuomsbf/YP/mpKlUTYS0mhOmgSARqVSYTQQGs9usSjGKlSVeUbelExeuZElGXN5pkrXdXq9Xp6RBNnw53w+z62gddMgyNjFRoZHfO9732M2nrCYzVDsgiglDYXjoyOB81gWnfMhO3+BEg+gcz7CiHXa7Tbj8QhIcV1XWIibNhpgZ/wiWeI0Wy1+9PmXKOtldv/Tv4FetK+9ZnGvTu1XP2D45Igf/vQb/pPf+5187KRYLOL7PqWSy+0PPqJaqfD1V1/hRyGTbhdVhVKxyMnxMXbBolAssb6+zq1bNzKhuyFJltF1u21c12WxWFCtVkUplZVC7WYLLSud0zTNZ9JUVc2xwEpFWGnXarU8m5JBSNjCm3lQkddQZmlSWmfZOENmQjLgLAvdLcs7ywNM6k/JZorcB/JnStBdZk6yPJQcL4npOXaBctm9VkYqisCh8v2dXmVO8k8ZeKXSgqoK23rJxbtx4wZpJFy09w4OuDg9xjB1nj59guuWePrttwyHglEfLny0NMLQdOIoIIxjDvdvcnpyjmnbrJbLPHnyhFu3bvHll49QdQ1VUfjy55+hKgqbW1uMR2NevnwhIAG3TL/XJcrIsD/96U/53Z29t+7h9yJA6UpKqggOVJqCV6lRMhK2ah7+sIPjFNBCkzhO2djYINoIaF420XSNiJQ48LFsOycMytNsPB7npD55eqZpSq1SRVdUXOm4mySEUYTreai6mL1TVAXPtvEXgk0+mUxot1pMJhM8z8NxHBqtJlEUQKqgKhrbtRqf/eQZn/zmzV8KkgP4i5DXX1/wd/7G7xJFCVHoCz+3QgGvVCIMIwa9rmA5xwmKoqKoKv/sR3+MtrPK6r/1nXdrHWkqlQc3MDyH//X//qf8zd/8VVRdoz8eUa/XWVlbp9Nt0Wpf0h8IC/HjoxOiMGR9dR2v5HF8dkqcCqvss7MzgsyI8vDwUHQxV1cFox9INXHdur0umiLUBeIgZGdrm26vS7FgkaYJXsnFLTpUV1YYDke0221W1zZotZos/BBV09B1jYrrEaUJmuQ3RRFxkmBkM5TL2JHMPuQNrygKi+ksv/nhqkQEckxKKrG+GeDgSo5HBizJX5LAvRxjKZVKWIYYgxGvDWEYo6oyIApmf85DXiIKu66bH5jLhGFdF6xzP1PuUFWV16+PeP36JZEfoKox6ysrrKytkaYKF4sZqqEQRwgSr6phaBpHx+fU63VUVccpuAR+wqOHX+EvFqyvb9C6bGDpBhsbG3Q6HU7PznCLJerrG7QbDS4vLgR3r3HO/fsfvnMfvzu3+ku0lDQBJc5lTiq1NS7PTmien9K4OKPX7TGbzfOLO5pMWESCJJcoIoWWg49wpai4vNHkKINhGCQZ78nOOneyuyOyADVvQZeKJWzbxrIs4YWmKBimiWXbnJ2fEwTi/wwHQ+azObWyh5aqPP7p0Z/7O3/2z5+ytbFOGicUCgW2Njc5ONgHUnRNZB/j0Yhut0PkB6RpwkWzRWPQY/WvfvpLRcTkKu7VcT+6ydcvj1jfrFPf2uTWndvs7u5gWWZWaggsrd8f4Hll4hjG4xmqqlEpV6jX65RKpXyItFAoMJkI89RSqSQCcQooCnGc5LNb00wrW1UUio5DsVjA0AWloNfrCQndjA8URDGlUolSsYiqXBEn5XVMSElI82xD6G5d0QNkCSdvcpnNLNMQ5OH0Zrdu+TH5fbmWNaSWMSWJbwmwXANEgF7GmMRXNool93n2ffm85Z+5/FiSZiRhVWU2n3PZaOAHEUmacn5+QX2jzmw8oXV5wWw6FnypVLgfp0CMwubmNp5XYb5YUF5bF+oadoGV2gpFx2F7e5v9/X3a7bbA1bJS0rRtSp4QPVxZqVIo2BRs85177L0IUEmaksTiIqm6gevVOD49wS4UuHvvHmbG6JUC75JP0u1286CzWCyu2VEJTSTRUpbWO44cWxgN8/m6fr9Pv98Xzr9Lqpyz6Sw/KYfDIXEcs7m5yd7eXn6Kl8oVMAxq6+vUd3e49+EH/MHf+X2++Bcv+PpPX5Mkv2i6E0cxP/mnTzj5psVf/8Fv0u338AOfm7duYRgGzWYTVdPo9/uEQcCdu3e5ff8+lmXxJ599RunBDZRfggm8ucof3eDkoomfOZJUq1Usy2JjfQNTy9x44yQvcc8bl/RHQz795LssfD9T/Vzh9u3bKIrK0dFRDrwbhkX7osHZ0TGnr4+IMkcTTddZ3dzgrHGBqmsEYUilUhaM9Kw7NhqNWCwW9Ho9dvd2cwqBDIbLZVq8FHiWW/PD4ZDJZJKXetbSgbOcNS8HoGXagsRWZDCT5aD8WlbFXAa0ZZloGMLRZ3nMRjLVpQSQruto+lWXUDZp3rbeDJ5ALjm8vb1NvV7nr/31v87u4SFbW1sCC/OFlLUcslYUlXKlQhwn+H6Aqqj87Mc/Jo6Fq/Xh4WGmDCIcXSqVCq7r5tZqi9mMgmly4+bNXAGjtrLyzv31XpR4qqKRKilxnKKiUKqs0DpqkCTQaDQx7QKz2TzfeKPRiIODgxxbSZIkn+6X9X3OicmAUim/G0URaXK14fIh1IwPpRnZEKouTmXZXp7NZvmJurq6Kpx0axVUXc1vHAUoDkf8t//lf8H//L/97zz84Qs++P4BK5ueSJeP+zz77JStjQ3+/n/+9zANA1VX0FX48osvcreSSWawWMistjuNBpeXDS4bLQ5+71f+tT5bvVjA2V5j5kf5DKOqqjz9+jG9Xo9CwWbqT4kyEuve3l7u+TceT7h1yyWOY/r9IWEYoSgam5t1fN/n4vwCW9NJkhTPLbG1u42iqpyenUEcs3/rJqah0++06XQ6+AufhR+SKnB4eJNiqUS73aXf71MrV3JQXHaxJOUjyqRA5E0oD5PlICJv/iAIKJhWHkTk429qgMm/L6838arlru7y82WGJqR3BZ4j/4/cV8vlYhIn115LdgqXl8S+5H5dxrRym6qyh1ss8MXPP6PdbotDMgsuYpxeoba6xurqOm65yrNvn2LbFvXNTSaTMatrq/R6PaazGSdnp3jlMgXH4eadOyymU4IwpOx5JEDj8pLzszO8UonGxTmHq28fd3kvAlQUJ+iGiR+nGEChVGEwGFCp1hi05wxHE2w7yTsoUqI0CALm8zmNRgMQMiqFQoEgCHJTwmXBfblxVlZXUFDygeNSqcR8sWAymQi9HF1Htez8BikUCoxGo1yuRWZfykijulbj/OISy7apeGWSVOH58xf82z/4AScnp7SPepx+1aJQKLCztc3v/80PcAoW/V6Hjz76iOfPn+JlwvvSlmk6m/LgwScEQcCjR49IE4Vmr4tesNCysZN/naXXPL59+gzXsZjNZpwcHTMbzrBsm/l0hqoorK+vi8HTgwPGoxGNRgNN1en3xMjQ2tqqwAc9j36/T9Fxsc0CR89eUM1kRpqXDVY31sVsoueim4awSIoj4jCgUHAolz1sxxFmFJnxgXR4kS12VVVZhAFhFOF5Hnp2aAxHQxSUvIyU2bO8gbvdLo7j5KzzZRxKXjdZRr2tQF4u76SKwduGy5dpCwrXA54MivJ7cSxsDZadreVzZUdRvrZ8D2+bCwWYLuYMBz3Gkxm1lTXu3r2bORX3iWIhkey6Ln4Q4Hc7lFeqTCYTVqs1EgV6oyGdQZ/hZMxHqyJYPXz4kFKplGN5t2/f5smTJ9y5cyd//81mk8N37a1/7d34b+ASFwQUFBIFFLPAYNAnjCM8r0wJhSiMSdOE8VgoA0hpiCRJ8tEB+Vpygwg9I3GySo2oKIoI/eAaD0VSEeQJp2katmMTZZLBEixdBmIVRSFOYj7//AtBqMxGKB49epTrAW1vblH1PDbWa9iWze7eLl89ekQcqqxubuaco7OzE7zMrXY0GpHECZPJGNf1+OTTT5mOZ4wfzf9c4P2dS1EwLYv5fM7Z2RmLxYKKV8b3fSorK3lXbTqdEoUhL168oFgs4nnl/CWq1RqnZ2d8/vnnecfL0IW6YxAEzOZzVtZXabXb4vthSLfTYTadUrJM1tbW2N8/IAgixtNJ/rkbhiHm4pQrgwF5swRhmN/YiqKQJmKofJntLQNCFEV5ibcIhM/bcgknb3jIxAd17Rc/p6UlqQaSOiD//SYvTlevuoVvZvAysGmajq7H1wLUm5lZHjiX/i6Dq+SE6bqOU67mZWyhWMRxHHr9PpZ0KiIVdljVWg66N1st4YsX+HkXUjLaPc/LD/DpdMrDhw+5efMmpcxGLYlD7IwP9rb1XgQoVCGKH8Upjm2ymA4plVxa7Q57GysoqkZ/3ifKgGzTNPPZtJ2dnZzj9OrVKyqVCisrKxSLRZxymWA6FSoEniizBoMBpibMJyXTOFWV3HVFym5MM3soyXZ2XRdd13NrIdd1CeOY9ZV1fH9Bd9ph0OoCClWvyt7eHpubm3z7+Gu6rQuakymH+/tsr29wcnLC0WRCEISEYYBbEPbbl5eXlEol+sMR5+cX6HqLT7/7HZ588y2Vaplo7gvSn/bLb643VzyasnP7Hh9kLrHD/oBkGtFqtditb9Ht9bg8O+eT736Hn/3sZwyGQz7++GOCMOL8/IK9vT3m8wWNy0ssy2Z7e4fpdAqkYhreKTALfLqZceRmXXjmnZ6csL5SY9Dv0e/3xbiFWyYBNM3Az5QGUgWUDByXHKFCqUiUEWI1I9MqygiFEm+SN7BhGEyn0xxLWSbfygNnmZGuKArJWz4nGRhksJGH0dU2vQLc5ffni0Vu0iAPvWUsVLzeFXNcqrkuBzCZmV09P71Wlsrf0bZtiCN002QwGtH+8kvarRaGYVJwHFyvjFvy0Ewro5OUSNKUGzduCP+9Vot+r0e1VqPbFaW167o5YVlm8ePxOHcBunmwL/Ss3rHejwAlpCqFHlQKpmHheRXa3S4bVZcUBadUQklSNE1s5FKplJ9m0rBAnhiDwUCcfBlreTQaiY5TxjExVI12u53pZHuijs/a6HKT+kF2gbOTbDab5UCtBBSjWNiIr1VrpKSEfsBqdYXRYMBkOKStKDTOztlcr+HbBT7/yZ+RJiL4ldwSaRigJSmzyZSSV8rLCvHzpiJIt1rUajXCNGFjY53Ji3O8u2/npLxtxX7A9OiSeHeHP/uzP6NWrTIfTykgNjkIe++dvV1BEszGei4vhVXUPLObmkymJAlsbW1jGCZJMhE+f4sJxYLD+madi/MLTF1HU1Uc0yYOIgxF47vf/S4vXjyj0+mKebNyOScqlkoWveEg/91lYJFZq5zVi+MYbamkW5ZOkUs+T2KCcJUJLeNV79yGytX0gfxTZtnLj8t/x3GMlXGlln/GYrGgXC5jWVZ2oHEtY1+e75Nfy13n5fJQAu5yXwo/wFgMV2s6eweHJKmw67JMk1RVieIYxynmqrCtVovpdJpbnM3nc8rlsoBLSiVcz+PhZ5+xvr5Omr3WZDJhb29fVBDvAPXhPQlQBjEkEYZmEcagKgbFygrt/hBFM0lCPxvuJMcqlkl0cSykP+7eu0epVOLxN98INUHDwlQ0jl+8olKr0h302dndJQ1FCi5mz2wm8xnT6ZRKpZJnVaEf4jrFrM0Ns/GEdqfJPOsW3rx5iFddQbdM/FAYfga+T6VaRklFqm6aBtVyhYUfoKoGpin4NyW3imFqTKaCi1OpVEk0WMznFAoGYRyxf7BPfXOLs4tztre3aXW6/LXf+AH/57/8F7h3dv9CNAOA0ZMjdurraGGEoRsMW23Krsek12elUmHQa1GtVTk/O+Ls/AhV1wmjkFZ7hFtewSyY+JFPUSvy8Xc+ptfr8TIT4S9WPba2NlEMnbNnzwnCgOl4TH29jrvuUT49xbEKxHFKEEGh6LEIIuxQ8MqKxSKlYpE0DDCKDpqqsphPKbkuaQpOochsOhf+bLoJpnWtTFNVYdjQ7XavzeslSUKSfTySiqJfY3krgrT0xlrOtuB6iSiXzGzyrh8QhFf/LtpFgnGEYVvMFguanTauI/TzNV1HM3S6/R6qIrKlWrWKoWokaUwUCS5YEATCzHQJk4PMDq1YusadAqGW4HliUNwPAjHGo4osz6uU2disoxoGX/z0Z6RpStnzUBWFkuviFAqcHR2h63ouOFipVOj3+8xmMzrdLtXae97FUzKxOhQhgxGnCnahRLvZJMludlJhyyRB0OVU2Pd99vf3cUsl/EzPKfQDHn35JdPplJVqlRihTmDZNsevXqNnXSGzUODnX3xOJWNDS3lZiWNJ0ud0PGJ3e4dUVdA0lcvLC4peGTXSMx5Rn8VszmwqPNPk5gmTmMBfYBrCb20yE3IcfhiTKsJIcTwasb27yTyjTlimiWVaPHv2lPFkgqoo3Lx1m1KhjzIPGHz+lOr37v25n6vfGTL42bd89NE9vJJgfVdcjziKqFTLBGFAfXNDZIJFh8lsyv7+LpeNBpvuJkW3QpoIrfSdzS167Q6NRoPDvX0AnFIRP/Bpn56ysbZOK2pgqBrT8Yg0Y373ej2cike1Ws21mGazWY4ZBkEghp/Hw0wWRSEMApxi8RqrGyDMAsGyysFkMsmxG9d1r822wZUx63KQeXMUJd+HypXLzzIetPy4bLpI/CuKIupZSdvv94UAYZYhxrEwhCgWHDEypcJwPMatCP0lXdOIwojhSMxDxmkigoYjSn45bC33uXTNvgbSZ0RSqWP28uVLVtbX2Nja5OXLl0zHE0hTVqo1tre3xaC7LsaVNjY36bRahGHIwcEBQRDQaDTyaYzxeMydu/feSYuA94QH9bZlOUX6g+4VJ2Qp/V5WSZRT7cViMd9UlUrlGo5gmiaHh4dsbm7mXTlFUej3+7x6/jwfyZBBRVVVDD3TDco2+3gshM8812WlVmNjfR3bskiThCQWXaFixrPqoGUp/wAAIABJREFUdDq0220x8Jvp99hOgd5gQJTEWAUb1dDRDINKrcbm9jYqCq5TQk1BQ6PVbLGYztFQ2d7chgSm0xm/+Z3vMn74kv5Pn4j5xXes2VmLi3/8Qz65scfm+iqFQiHPPlJA1XXKlQqz2ZwkTphOZ2iaju8HJJEwDpiMx5RKDnESMZmMCaOAMArQdY1yxcM0DdqtFuVyOadmLHyf4VAInm3U6/iBz2QyRlUVPM8lTRMUJdNO1zWCwM/Ldlki5fQPee1TGTyucCJ5bSR4LDtiQRAA10mTy2uZSvC2JffB8tebnTX55zJNRXKG5CCz3JOe54nnqVd4k2ma10TgbNvGtEzMLGuSw+zLPKxlcuibBFMpu2wYBnGSEIUCk3VLLtvbW+zu7oqu6WSSB+tSqcR4OMT3/Tyw93o9gLyzfefOnXzu8F3rvcig3rbCMMzkdpUcOJVdNSkkJhUz6/U6iqKI+jzNNI8GI/b29uj3+/n4S6fTodFsYmk64/mcUmay4LpujhcoWoZzZFbdCSJgWZbFYDAQ4PpijqZrdDo9ZnOhWqkoCu12m/t37hJmOMTzFy8wLYvDu7cpWHbeRSwUCsRJnFMbvEKRn/7xH2PoOv7MZ3tXWBfFoehmXZyccX7RIIgTfuMHv0HRcfiTh19w9NX/g/fhIaXbu2i2RRrHzC86TL56STyZ8zu/+j3+yscf8uLFC1T1KlsD0EyTRRgKOd4wFKMkmknzsiGIfJrG6uo6nXYbTVE4Pz/l7p27NBuXvHr5QrTsNRXdtLENi/6kSxSGwkMtThhPJ2xubjIcDhkOB1RXanieS6/XJQh8DEO/ZlEv5/ocx2E+F/SPwBdjRLq0bcpmyGQ5lwfcLLBJW3m4chOWB9zbmOJvW8tcJxkEllUQ3pzrMwxhStHv9/ObX3Z701TYz3c7HdHKz4aUYxXCOCJJVZQkwSrYRGFEkgoRP03TRLY9meRkT0VRWF1dzbXN5PuUWJakagS+z8XFOesb63TbbYqOw9bWNiXH4cnjx6yvrKIZBmEgsE6hLxZyeXmZBzv5epeXl4JX9ku6eMov+0D/wf/79Jd/2v+GLD0NUdIUX7VJFA0jWTA7eUi/ccIf/Mf/EZE/R886NtKBQ7ajpTKhqgp1TV3XWV1Z4ej5S+rr6zx8+FAQ0kpFzhuXmJZFHAjrou9///sC6HQKxEki6u6F0J8Og5CV2gpOoUDBLginjKPXFGwbQ9MY9HvM/YA4USiWBLN9Op1SKpVy9496vc7O/h7H58d5JjebzdjZ2REku1KJFy9esFPf4vM//tMrUl42TuK6LlESC3eUQR/bKdLu9ih7Zer1DV4fvebLx495eXpKFAqroYrncv9gl7WqJ6zhNZ3t7W1UReXk+BhNVamurFAoebRbLdySi6ooLBYLTk5O8oHi73znO1w0zul0u+J9RBErKysYhsHz58+pVCoYhomqmflpb2Yza8PhkJWVFSpemWajQdFz0DRhaNlsNq9UJDP+1Xw+xzCsXM9JmAqkFL0ypmESZL9blNk7SQBdBgQp8yJXFEVXNlVZMHtbyba8lrtuwLXny/+z/Dry35qmMR6Pc9B/WfN+OVtbLBYkaYpumWimjp6x0Cf9EWEQYGVjWrIiGI/HFIvFa68hrbYsy8LOZk9t284FGE3TxKtWicOQWeZC9PLFi7xaIL5iue/s7pIq5J9Tu93Omwu6rueHt/yM6zdvv/WDe28zKH8xz6Vr4erkW+5qSKxAcmDkxpQBDATru91uo5kGm5ublFyX8+MTxtnGHg6HWE4BI7OSUrOxBFEypoRBiB+KknJ1dZWL83OsbKrdiWLG4xluwcErlohqK8xnQpCt0+3gVsqMJ2N2t3cERpXp9YyHoxxfODk5odNsg6LQHwyEEqbv40cBH3z6MT/9yU9Y39pkb3+fOFVYWd+AOCGOI9ZXVvhrv/5r/N1/7/c4PT1mOByQpAlB6GMaBtPJFOKEyWRCHIobtdfroRkm3dEYz/OwSw6zyZSzywsqlQqmaXLr1i1azSaL+ZzD/X3CMOT09JSNtTVOj49xi0VhFrpZZzoTfCjJ5r+8vMzn9yzbxnGLJElEmibYBaEAIcsVSbiVWJJ0SS6VLJQ0ZTIeU6nU8gxGlkuyuyU7fJKwKa/7srX9cqm/vN48+JeJkct8peXnLgcv+b1ly3A5orM8qiJfzy4UhJS1qUP+MwzKtQqGqtNtt3OAXgY5ua8lBUCqRui6TqfToVKp5KNf8n18+803jMZjptMpiqJQzhy4V6s1wT7XDVRFzZVOJSPfsqx8GFpiazJgvX79mvrN22+9T99bDMqfzygUim99bBkTUBQhimaaJv5ikafbwBUdIMu2LMsiyma4tra2iOOY6uoqfjZzttw1KThO5tQiMJHpdMpsOiX0A6aTCf58LnTIVY1isYhtWYyHQ0xDiOdJUDgMAvq9HqSwtrKKZZoEC59qucKwP6Bg2Yz6fVJFpeSVSVLww4iDGzcxTZsY4bpsWKL9XnRdCsUiiqpSrVVRVZXy6mpeLimKIrCxNCVJk1yLezAY5ATINE25bLTY3N5hOJpgWjaHhzcplTzKXgVd1bm8vGQw6At1TLeEosBoNMzKC3CcAv5iQZR5B84zMTQnY4mXXJcok7INAp8wElpXlWqZSrWMaZnEcUQYBQShwDjkOJHsYsnZPUV9+1Cv1GySCgOSAyUzneUS8C+6lsu6ZaXNZbBdfi3jUxL/Wtaouva6qjBnUDKTBlSVolvCtgs4xSLT7HdfHoWRfD8gl3u2LIt2u53Ppcol32+5XKZSLgsuoOMwGg6pZl6Ajl24UoBQ1fyzsm07l7uRWazsVEpN9net9zqDKqyv5v9e9iSTG0JbKvsk+GgqCoPBALdY5OjoKOdEAXmgiZOE27dvM53NmM1mnDcu8cplWq0WWzvb4iQPAlBVPv/yS2HEmSYQheiKysJfoAKVcg29bGBoOpqpsbuzw2Q65ejoiO2dbZxSiTRJaFxcCuzpxg1qXoXWokUchMSBeD1MizBzGTm8c1tsIgV+/sXnlCsV+oMhF5cNTFPIxnquKzqWizme5/H88WP6/V72WQSsra1ydnbG+toacSjK4GJBOCy7rst0NuXf/9t/iz/8wz/k5uENokgMkg5iAfi3Wm2RqWoaZ2engJhV7PV6eJ6bn9qz2Yyz00uq1VoWwMQQ8Xg8Zpo9Zz6fU3QcojjC94Wh51dffZU/dnl5iWmauCWRDSwWCyxLGF3YxZI4ZCzBkpZlnDSDkKW0LPsNw8jLLElDkH+H6wD520q9ZZ7UctNkORtaJm8us76X8Zu3/RxVVUBVUVQFq1DAK5fRVJXEtLg8PuHk+JiL83M2NzdZXRVNDZnFSChDDmpLbFVaYi2XuTLYGIbBo0eP8FyPTlsIOS5mcz79+GMxPF8sMp5PWWTWVSA08T3PYzwe4zgOtVotnxp413ovApR0FlYhY/iqLBYzzEyrWddUkjgi4TqGIFPyXOsnk/0oOA6npyf4izlhvKBWK6MqKZqqUa2sYFk28zDADwM6nY4oFYOQnfoms+EYI1WYzX28cgUlCNjc3WE+mxGGwlFEM3X8aMFwMWHn4IBer4/n2FiKyWA24ubNQ05PT/l0f4+L42N2trc5Pz8njiIef/MNh4eHaJrG/t5erkGuF4uUy2K0pFAo8OVnn4Oi5KS6rc1N4liMaBydnmAaBtVqGd00GIxH2E6B8ViQLEslIRMjT0OAgmXnJXOtWMJWTLZqG/RbPax6naLjspgHpIANhErKuN+kvrHO01evaXS7uI6DqqSUPZdet42mG2iGxWQmwG236DGdTun3hkJdIohJY4RbzKuXOI5DvV7HNCzW1zYEz6bTYWtri+l0mmdPRmYFvgxyy9IpTdNchUKOosgsalkLTPrmLY/UvCkHLcmVcg8ty7O8Ca4vL/k+NE0jjcSYjqKoQvtJBqeswaqqiriL1RRFFVQZJVEggigJ6F42+ParRxiaimFZuF6Z/mAo2N1hhK4bzBc+s/ki16mXgVkqfFYqlbzsVVWVMIrQFfj400+ZjMekyZUFV7Hs4S8WxGlCMF9Qcpwcp9uub6JpGl6xlB807U6H+XzOg433eFiY9PppppAS+HOKTjH/jqKo106st52AaZoQ+BEFy8ycbAUjOZgLcqUKxLHAQl6+fMl4NMrHIoa9PtVyRXTretnm1w3u37snNKB1nYuLs2zKPsZ2Suzs7+JHIaubG4RzISGytrFB6/wCz/PoNZsMh0NGw2Gui67rOt9++23uXFKtVhmORhR0nbLr8tlnn/FXvv9rzKZTMecVRfizORNVw7AtnIINKUwnU0xDo9VsioFbU6de36TVbAqBtSQljRNhXXV4yPPHj7n30Ue8ePKEra0tOq0WTqGAqig0m00qlQq2U6DVamHbNrWVFR6/fM4//uFPqK44WLZG55WwYb+/t8edm/tEYYwfRJimlZP7ZMC5cfs2uqry4vmzHNyVGVMURfR6PVZXV/OTP47TbP7LI44ToZWdpCTJFf0gDCNs27qmJiCpAFLuJI7jPGvWNKF1vhxoljtyy/yotwWiN4HyN8F28SVs19/Ugrr2ekt/VRUVVdUIo5DpcEin08nNJ8q1FXq9nrDtsqy8mbC6unql1uAv8uAo1UaXsTYUBdM06XS77O7u8vrVK0qlEv5iIbhYaYqfDdMPBwN6vR6qql6DCCSuZ9oC7F953+VWMm7v1XVMIVjMcV0vo4uIMZjl1Dp/6rWNpaCpVydhsVjE0HXGgyGaKfglqJAmCcVikck4A4ptmzgIc1+8NE1ptVoMh0MKjo3rlq51TQS/RVitx/M5l+fnREHI7u4u3z5+gq6Ilrc0Kihnc4Cj0YjJZMLOzk4OWI9GI3HqJhEqKW7RwVQUgsUco1Cg6NiQRLilEqPpFKcEd27fptftEsfiZ4YLn9l8wtraGmHg02t3Cf2AyDA5OTlhOp2xvrGBVSiwCAJOTk8Jgisp24U/4/jkNYc3bqAoKbqu8r/8o39Era7zX/13P6C2Kg6KJEl59rjFH/4fX+PHCYdbm+i6kUu0tNtt7t69y3A4pN/pEARBRqz1rxEgpWrDZDLJP+/xeAogCKMToU2lWyIYy0xJVbg2BiNv0FyJMlvFoni/MrNaDkSyRFsuW35ZZ0/83ld8M9lly0dpoiuca7njtxz40iSVWzj//rA/oNtuYpkCi7PtsmB3F4tYhomKgpFhnLquC/dh5WrmL03TvCkgS1/JFwRB23j5/AWdTic7bHXGkyna7du4mcuPDPKS/iIDsGxCRWFIGATY2Tzq29Z7YTulAKmiECtCnVCP5xx/8xN++7f/HUqWRpKkKIh0eZmf8gunnirmkxQgDgOiSNgwDfp9wijGMEziJMW0xAY7PDzMbY4s08Q0zLwMkByRjfoGSZJwdnYGpDmuYRgGk9kMRdPRs9KkUqlQq9YIFmLDTCaT3IVFjuZUKpVcirjRaFCr1dja2iJc+PjzBSdHxzx59IiiXUBNIPIDTN3ANgws2yZVJDsMLNPEy+yddE3l5PiE+sYGnVYLy7TY2dnJRyemsxm9Todur8dgNMLQDMGLGo9zjGcyndLr9fjhz36Gt6Hy+3/wCU7xSk1RURRW10t88Emdf/pPvuLD+x9SLnnU60If6vbt24zHYy4uLlBVlWZTyDIPhwOMbOC0Vqtx9+7d3Jb+6uYXJ7+Xebf1ej1MyyZNUoJMizwIhJaVnIuUwUeyqaUJgfw+8As3tMxE5E29vJ/k7/hmwJLZlvw5UnJYsr1TrkBwFCVzKEoz4AIUDVJSkjQlCCOCMMLQNMqex+nxMVEY8ODBA6rVGr1+D01T0TQVr+yhqAqLxZzFYk4QiPcsGwLLCguykylL2TAKGY8n1Ot1MeQ+neYehq9fveLp06fCMiwDx3Vdz7uqV9hulFvVl2or76/tVHqtWZkSLabYdoGCbRBFPoqhk4SRmCROfklnJhUbQc02UhT6OTaxsr6BU3RZBAKTGY1GArzNLrBTKmGbVs5nCsOQRqNBo3mJqio5XiFO+zFxHFGIE84aTe7fv89ivkA3TVRVSJdIG6G79+9zcXrK6elp3lHc2dmh2Wzy8ccfkyQJ5UqFYa/LF48eilSbhDgKMsIo6JqCLjdRsSRuTjUU5R4p89mM/f1deu0OL5+9QElB1TRazXYu40qcEqcwWwhbqDgOqdfXefXqBYquce/ePdrdDvuHe/zhD3/Ef/Of/dY7M4tKzeH7v33A09ev+OTmHaFZlaZ88803YuIeGAwGbG9vc/eD+7x49g2OIxx+DcOg3+/nn4UcEJYOyEKdIsEwTQzbJgwiTM0U4Llp5KCulGmW3TPHcfIOFYj5NFneLWswSYke2TiRgWw52Mm1LK2yvIJMYmYymRBGgi5h6hrqkoRLkh104vk+qg5KVtqZqpEx9YdEUZipCSy4PD7m7OyMGzdusLlZxyoWWUynHL96Sbfb5ebNm/hZNim1ztI0zZ1X0jQlzDIh0pS79+7l329dXnLy+ih39qnVBH1jMplQrVavgfyyVNYzXC6N3t6ZhPckQCWKkisCqiTMBi2KJTH2oSgqSSx8zIjF5ntbl0RRFOKs9axmYKVhGJiGQcG0iOKYr7/+mjhV8SouBwf7uUywvNAgygPHcahUKnQ6HZI0FlZQrptbXMdxhOe5mKbJ/v4+Zc9DU1QaFxdsrK2zvr2NVSpxfHzMl59/TpiVE9I6W7bjbdum0Wjw8sULptMxXrXCaDhkY2OD8WhEFAmnWdu2aXc7uEmNeRgxm04ZDQeUPZfZTHCdvnn0lTgJVY00ikWHUNcYTyasFgp8+t3v8PL1a9Y2Nhj2+6gJ/PCHPxRjQarC06dPuXv/Hj//8hHbe2Xcsv2WK3W1Pv2VLf7H//7H/Mr9B3n7WzKOpZSHYRh8/fAhKSG9XhdFUTg4OODo6AjDMHJRuWUxwOFwyJMnT7l9507eBImTK5VJM/NAlNmLoiiUy+V8SFhYd/k5v0e6r0hZYJktyAxIYjeyK7zceHkbZUAGRXkjm6aaNx+kHI8MfpIEWSwWGE9H+esuFgt0VaVWW2Fva5vxoMfXX32NbRcoex71jQ3C+Zyf/PjHOZt8b2+PJElwnRKj6eTanpU8Kc/z8vIziEJevXzJYj4nSRIG/T5/9Td/S+CtwyH9vqCQDIdDZrMZ+/v7+aEhr0scxago+PPFO/fBexGghCAQpIpKmsQcf/s5P/j1X8MwhA1VlCSocYKahbHl7GkZsNRUFcPUWMymWLoucB1FbGpD1djY2GDuR6ys1TLp36uujdykEoDUNPF8lJTJZMx4PM4VGeXc33Q2JdE0Tk9PGY/GdDoduu0Ou1vbor1eLKIAtY2NnB0ss4VKpUKv1+PmzZsMBj3QEmaLKWig2wYfHj6glFElGucXlFwP0oQ0jqmUy6zVaoxGQ9QikKR0OjOSOCZNUhZzH6dUJI7BMmzG4yn/8l/8kNWNde7cu4+paxw9e4rWU5hMRyiaxocffsh4OmE6m1Jy3405yOWUBJFwa2uLJ0+eYFkWt27dEsx8y+L2/fu8evaMg8ND+v02w6GwIj8/P88Dw7J0jRx16Xa7uevwPAgxdBOVK27Q8rWXwK6kPCzjMTJgyYxKOrPI/78srSuv6/J+guumCXLJ4AMiIDnFEqPJOC/7VooCX/MqZZxSiZOjI+azCcNRH8O0sJ0S1doaSir2chgEnJ+dIzSjEoJggarCj370rzBNk3LZZWVlhVLJIYiuZI7L5XI+PCw6n1cBX8kC+f7+PuPRiOl0yseffEKn0aTT6eA4DufnwvVlbX0dRVG4vLwUlYTj5IPcdsFmNBi+VaI4/wz+3J3yl2FlWbWSpgwbr4migPsffEQchyJrSq8spOV6G1tXVVUUVSNJYjTTEoB4mpLG4vFCoYBlKzjOFcckF+ePY5GlLaX4op4P8gFjsPITcj6fo4QRsaJSy1Lk+XxOY+GjpmLjz6ZTisVijoFIAqeUtnjy5AlJkrCxtYlTLtEfDnE9gTuYjoPjuozGY4JIgKFxkuBlGlVxJjVTKjq0Wk0s02KRSc/IoV/HLYECWwf7vH71SrTmkxhdATsLwqurq1RqNTY2N/HmM8Zzn3/24z/6cy9ZrzPFdYsMBn3m8xlRGHB6cizKrDhGIaVc9igUHXxfuA/PZrPcOFUOL0v7Jt8PM3eehJVM5TNJRImmZpmHEIZT8+xo2ftuGfReJlMu7xWJWy4HJPm4/HNZS/xdXKl82yoKC3+BoRuZaFyBwPdJE1GiBr4vumRKiu8HWJbomsax8LBTFYUoTanX67x8+Twvvy4vLwnDEM/zKJfLKIpQ7KjWVhgOJ8IdOLOtkpibZIOLoW2dcrWCgnA1LpfLxGFIGEX0BwOGoyFJIjqlXqXCcDSi1WiiqApBplmvaRoX5xfivRom++/YB+9FgNJS8UEqGpx+9cfcevBX0NUEJQpRkxALMbSryFZItpZHGMIwpKDrEEfMRxNKps106mPaJkmqEC0CPNclzGzTVVXNu4ZxHAtzRQUgJUoSSFLSSIKfBuWKUEDY3jmg02nz8uVLPK/IfDBFra5SLBb55JNP8Ocz1ldXCYOATvMcXQE/iDIt9HXRXSx5TKZznKLLyek5YZSwsr7K9sYuJyfH3Lr7gNNXLzFvFmg32tgFEz9YMBx2MSydme9TLLnU93awLJtCyeOLn3/G5voGBdvG92esb22hqtDudNna2kLTdY5Pjil7HrPphNlCYGYXjQZBFHFxccHGxgYly6TXmdG8HLOx6b7zmv3sj0/Y36gzbDfQiUiCgMVUYzqdohsG7cYptl3g5PgFpmmwVa/nU/qaopBEEQXLwjZNNEXBcT0wLGobmwL7UFTUFPzZFNuyUaKIME2JdS1vg8ssSGJZck9IIPzNbGh5+mB5sFdmJXK9OUe3vJbt0QFUVUc1LOIkod3s0O910BSV9mUD27RwdRPbcVhfWaPX7zMbT9nd2xOfk67jOjXWN8Sw+9nJEXEc0ry4ZGtrC8sqcHjjJk+fPuXGjR3IGPUrlSpqCjubWxiFAl998YWw4tJ0ElVIYL949pwgCLh99y5pkjCdTNi/dZO1+ob43aOYJEk5e/WaVqvF2vo61WqVp99+y3Q0ztnufiycjb77jn3wXgSoJBZ4SfPsGaQp9z74CI0UTRGAd4qCogp+VMp1lq/8uyzRdF2n4BYJ0hizWBCnaxhiWCZGwSZIYpRs874p0bq8dENYr0uyY5qmeJ6XOd8GHBwcEscxrufiVsokqcjEFpYAQDVVEYzcQinv/kjTB9nWnU6nrK2tcXFxwSIMKJdcbt++Tb/Votls8vLlCzY2Nmh3mpTLZQzTxLYtDMsiVYQLb7fbYzqaUK3VMlUH6PdjXjx7SqFYZBH4NBsNZrMZt2/dwikVKZZu8OLxN8znc1ZWVnIVy5OTExzH4cNbN/i//uEj/t7f/z6W/Ytb8OWzDt982eDv/M7vEARChljIizisra8RxTH+YpFZbW/gZ6MsvV6PSqWSlyhnZ2eUy0Ib/dbNO1w2BAdrNp0KmoZTzNi3gmukqCKbkoTExUJgI77vXzNEkPiQ7NpdsbmvgtCbIyvLUIF8/G0Z1JuBLvJ95hldxXVd/MWMQa9PrVImCkIalxcoqkq5ViOMImynwGQ8FpidZXN6fEIcRhy/fI4/n7G9s8nqyjr90ZBischwMGB3d5fyygoX52c8fvyYTz/9NDcHAWg0GrmdmK7ojPp9+p02TqHA88ffCGDeMJlPxkRxTBILykKn2c6doT3X5fzsLG9ABIEg7d64cZh1sN++3osApasKahJz9vWfsP/hr1JyTJQ0IE1C0iQiUTTiWNTookFxPWVfJq5VqlVKnkev10NRhIZSAsRpKsTwkgSnIGyvl2ep3uzYRHFEHMUYho6pWqiqwnA0wnHE7JQEapvtFr3hAKfkMJ6MGfZ7HO4fYBmWEMFLU1rtNuWyx53NO/h+wGg8wjBMqrUq0+mM1fU1Gs0mR0dH2LZJwbZze+3Ly0t+8Bu/xrNnz1BQmY2nlKoV0Y0rFrFsobZgWzaDbhcF6PR7JCBm9TSN58+esb29zenxCZqu0e20ONjfyyWPHccRIPndu7x48YKPbt9k9pXP//Q//Cm//TcO+eCTTQxDo9+d8bMfn/DZn57yH/zu3ySOAuqbdW66JS4vL3DLHl65QhDHNE7FiIxUPbVtm+3tbQaDAR988AGXl5d4nseDBw/47LPPmM1muS1WmNMKArSMoGuaJqqukShk6gdGDlbLrEYGmuXsSHa44Do5M1zqsi2Lvy1zn97WxVtmtKuqimUb6LZJwbEF8L1SY6VWpd1oMJoMMS2Ten0TzTBFoHAKxGGEXnBIgX63C0kmjKgJUTqFLuubdTb3DpiMRpyfnvH8+UtGUyGzLEtayfeSwL8gA0fUVqoULJ3z8zMmk5HI2t0S01Efx3GYjIecnpyzv3+D2vo6K6urjKQjThThlcskSUKv1yPK9MHeee/+/7rz/w1ZqqrQPPoWTdfZ2NmnYOqQ+CiZY2qSfZEmYnSAX2wByw0WxzEoMF8IRUBZl0seSpwK/EbyRuRGfnNpup5xWAQ+FUQRs8WckueiGaJLYmYKCItAGFDOs8dLbonFbC7sl9wKo0WAYVnEacpsMcfKPPo6nQ61Wi0XeHM9j8VigZrdkEHgc/fuXZrNprhxg4hKrQYpLBZzDNsSQWsxFx1QXUPXNAzLZDKZ0MkA53zEpVbL5EGGuZ+gNIrwfT8fH0mShF//5AEXrT6P/uSYf/QPv0LTBA50uL3F7/7gN9CTmOl8znp9g+lkLBoZmsbF+ZkImFlWtgxSS0eeZrPJ+fm5GO0xTeJEmAnYBTGfJzurlikIi/I9JZFwGH7zQJFMaKkQISf74WocavlrOTuSZZzUnn8XtUKuZdxT4j1pmqAZOs3zCyH/RwQRAAAgAElEQVQMNxrRbIqsdWNtFcPQmWSlr2kYotschsxncwaDATcODmkFC6JQAPxuNhA+HQx49fIlvX6f+SJgc3uLra0tgUF5HpplsciEFGVmJwJ9AVVJWVtdYW1VmIHMZjO6nTY9RXyea2trzBcLVtfWCOZzXh0dicw+jkkBPwgoOA7z2Qy3+PahffhLHKCWiZZJFHL8+Cfc+fQ3qboFLC1FCQOUJCJNIFXJRl1S0vR6Or7cjYmiiF6/x2g8ptvt5o/puk6tVsMwDNFWj0QJIkcwZHt1+QRdZN2lOBsfQFGYzmb51LmTdY4q1SpBFLAIFriU2dmq02o0aTUbgliZJuzu7VEqlej2ernZwsL38cplFr5PNeOkzMYTjo+PsbLuTb2+wfbmFp999lPxu2iqAL/jGEVTmS0WrKyssghDFFWhkA0Qr66tAbCzs8M333zD/v4+w+GQBw8ecHJyQrDwqdfXc07Q6uoqjUaDdrvNBx98wHg8ptVqUTB0/t3f+m3ODs+Eu28UUavVctD2wYMHvHj1krt37zAYj4jTFKtQIE3JxerKnsdoPKbdbucdt263i+d53Lt3jyBzBtZ1Iy9ZPM9jMBhQcor4s3kOBOuaAUtgsAw0UuZEZsV2NsMpO2vLTZRlRvsyRwquS668iUnJP5czLUmMVEnpd7tMJmN0VeGrRw8pWAaWpRMGAUevX5GkKnahQKoi3G8yFctapSpkeZOUgl1gvhD2Z5VajT/90Y+ZZBr8uzs7FEpCxUI2HFzXpba2JrLLrCPq+z6ddotep8VkMuHOnTu5282tW7cYDodCwz2JOdg9oNfrEYYh6+vrWdUhDiJJz6jX6wwGg3fex39pA5RModM0pfH6MZZdoLq2yUbVQ42nqHGImkagGMSKCipoCqTJL467yGAXxzFxkrCxts5KtcZsNhPdj2qVWrVGv9cT2ZMiZIGldfqbBonyNWfzmZDETYRLxtramsA+/EWeDQyHQ2ISUiVldX2NZy9f0G93sS2TSrWCaRUwC6J0sQs2oJBKvMwQfJxer4euaWL+LPRZzOcsFj6WZfHZz39OFIuMwtA1Ql+QTx2nSKqpREnM7v4eT598y+HBAVFQZNBpc++D+/zJj/8E27K4uLjge9/9Hi+fPieKIyxDyHj8f+S92Y8l6Xnm94t9OfuSJ/el9u5auptNihQpSlxAWR7CnvFsHtgY2FeGAcNX/kd8NTBgYAB7bjxjCDMSR7YoDSlpRDbZbHZXs5eq6tqyct9Onj3OiT3CF19E5OlkFUeUBRgaB1CsYnZWZeY5X7zxvs/7LGtrawWgXCqVME2Thw8fArC5ucnBwQnHx8fFVg3gzltv8fEHH5AkCaPxiFSRQVOZ+R5WyUZKFBaWlqi32qhPnnJ6ciq6xLEwsTs5OaFUKtFeWKDZbHJ8fMza6prgELkezWaTYead1e/1aDdbDIdD4WDgZuN6EhdbWEmSCslHPurk4yFcUAXm7Xvhgl4wj1/OUwjgAkqY/z3fnOVn9/y8y5Pnz0jTlDfu3sXUNWRZ2NE0Gw2eP33KQrNDuVwjiCLGwxG2bRP4PuVSiWalhi7LBPUqiZTw+PEjNjc3+eiDD4S/ebVKs9VC0wzCJMbNHB8WFxcZj8fUGo3PES3L5SppmrC0ss5gOGA8dYVCQ9V58PipKMzA+voqCSlhHOHMpqyvr3N23sW0TEzbwjAMwZEKfU56XV7lgP//gwKVsP/kA15/+3doNWvoqowURMhpgiyJLZo4SKKRSbnAjeavHOxUFQVT1UgUjUl/QK/bZdQfcHJ4iGGYhL6PXa3QbrepVqucn58zGo0KlnNhlwHohoGWYU15dlieRlLP6AKyLGOXbFIpBUXGMnUW2wsC3I8ikiilknlDqZnKPmfvgsDEytWK2Fi5HpZlk8QxrjtDkrIUYy/MiINJsa2SZRlJ1VAzyU2t2aA/HOCMx1i6jm7brKyucnZ6CmnKsN+n3+uRJglREuIkwoSu2Wxi23bhKDAajcSN0WwymwVFVHreAT19+BDDMIS8JfAwqjbO1KHWaHB2eoYzHvPi2TMUSUZTVEhShhm9YTAYUK/Xizj53d3dgmHfHU3Y2LyCYRicnJwIvKonnu55t2DbNqkkViU5FpS/HjkGk1NA5jVl84D4fDd0uWBdvl62xcvxn/l/9+rVK5TLZYb9Hp/s7BAEASsrQrhdKpVwnCm+HwnHV0UtRtgkSUjimMFozNnZMZqusL6+zv3793HcGWkqZDOe57GyssZZ77xwgHAcIWN58MknzGazArdbW1sjiGJiSaLeWmA0HjMYOwR+QKXeFF5paYqq64wmY5rtFitrq5RKJbZ3dqjV6+JrBj66bWKUbO68+cYr7+O/9QVKSuFzcu5L1/nOQ0y7QrXRwTZ0iCOkArwGSUas/Atl0y8b3xerZCQMRSP0A/r9Pgf7B0iyROQHyCk0anWmUYwzGhdartPTU4CC2Z0Hd2q6ThCFBSYiSxJSJlzNn9SqpqIbBoqmEkUhqnKR9EGaYqo6judgBAFREGJbFk4Y0qiJUAcpt49JYTKZ4M9cDEPo0WYzwTpPwohabY3haCQ0hkmOschIipJ1Dx5pkqKpgvA4HvSJo4hGsykMy+p1sZ5eaDNzpozGA6Tk4iZXVVVsjEYj0XkkCU8fPqReb1Gq1/D9gCgI0E2Dw8NDNjbWOTo6pL3QFpKeyYQkFkELUpKiyLKQHaUppClRKhJswigmdT2StI/nesiyQqlUIY5E7JiiyoSBj6YpBf8sN7FTFIUwjoQdTIbh5YZt8+MeXDheXqYLXFYfvKxwXb4u/7d5SUiSJMRpSrlWIo0jumdnWQiEko2kKp7rIqUKURRTKpdp1OsMJ2MURaFk2QSe8Lu6evUaKbHo2t0Zsqyg6wbtdptStcp4KixWVEUpCKrHx8cYhlFsM3P1RCpLpBKYhomcnck4jrN4LjHehtn5iCLxmp73eqSk+KEISpWQME1L6Ft/RQrz3/oCJZMgZSzZ/EqQUCWZJArZf/BT7nzpG9TLKk0LzGiGIacQK0iSRpJoSFKMOnf44GKbkuNHqqoK9bUntkBHh4coqkr/vEer1WJ1eZnJZIJlGMiqxHQsKP62oWc3VoypqcSR2O5MJmPiOCFNEsq2DX6ELskYioplmCLFpVbHmTj0uz2SOMKbTRgOBgyHYxrNFna5ioRKGsUEvk8UhKSx4KTkOEYYRVQrFXRFpdJui62TJKGrBqXM1TPyA5zxjJnrEiYBNc/D1jTCqYscpcJh0xDpzIph4DkzDg4O2dsVT/Mg9Dg83EdRJJaXl+kPz9AljZnjsO+6HJ0co1smtm4K7Z+mo6Uyw9NT/CgkSVNkUpLIp1Kr8fTZZ1i2zXDSJw1CqmWRTiuHwqkx72bDJEaRFWJZob2wyMbmJo8/+4xmu8POzg5EEWE8pd1uUzFURr0u/nTC5voqnU6H+/fv43ket2/fxnEcFNVkOpsVARa5zjK/8q+bW+jkhe1yVFWOP82PifNbu8t2Pi/ruvLRUFEU/KlYMIwHI2RJYaHdZNAbMhoNKVerDPtD6rUSlaqN589QFQlN1QijmAiEc6skcbS/z3m3S28w4cq1q9x54x5hGNI9PydBuJOen59TtkuF91UQBAz7A1ZWVpAkic7KCkcnx0iqzNSdocqK8MKfTmnXG7SrdXEPyeK1yBN5HMcR70PWqYLYltbKVbrdLq2ltZfe33/rC1RCzs5WkLMiJSHe7JMnv8Cutrh76yZ1W8GQIghd4tRHzQ862RM4BYmksLG9vA5OEmHmJikyxDFrm5vousbGVbGWjWVoLi7gjCaF6+Lq6iqSJHH//n0GgwHlcvlCRCrJzAKPzoIY15IwJopjIXlRVbGJ03V63XPOT09QZZnQFS6PaQLudEq5VKVWqxbyj7xbOTo55f6Dj3n+Yg9FESvuN15/jS/de1MU3kxAPBwOMSyL0XiE63liQYBYRVdqdWRFLl5P27azsAfh9dNo1Ll16yaD0Yjz40Ns0yIIxJZrdW2N0PUZTSesrK1xcnaKN50R+wGmIQ59nCb4UUi5UhE5b7Fgemu6jmkJ3yjbtkhTGQVZrM4VVYwGuo6c6d5M26LZbHLj9dt0T05YXl1h6kxJgWqlwvLyMs16nWfbz2k0Gzzf3qazsEi/P8AybUqlMmEQ0u8PqDfbhKEgDs4HJcx3S/n4lBv25b/ys5IXlfzz8r//qnHuMgY1f+Vn0M0SgnJXB8s08WbiY4NBH9O2iEmZTB0UVaff71MqV6nV61nklPDTqtdqhL7PWbfL9u4OCfDDH/6QN958k5WNDR589BFq5nGlqioLnQ6kIrfw4OCAZrPJoNvl7OSEKE1YaLfRVBELH2fSLtswUVAIs23neDwuMLxGo3EhFM6CE6REYtjtwesvv7//9hcoSQJkUikVMTukqFJCMB1z+NnP+cp3/iENE6zURQ5idBVUSUecBZkUmTSWEFqlX27Ji+4p+11WVTRbmGyVKhWOM83RixcvUA2DSErRJbnQLs0bnsVxnJmnxUw9n7X1dWGrOpsxdcf0B4JoWKlU0C2TF8+fM+wNCD0XiQRdlUScuaqThhEKEAYBQRwWmqmHT57w45//jO989xb/9L//Loah0juf8s5fbPMv/vXv81///X/AameRyXhCQsonn3xCuSRirEkT6vUqnuviex6qYUCGYxAnIhgziuienCLLEjsvtsXqPfRZW1lF08R2Ztjr4Uwc1jbWcaZTfuOLX+LJkydoqkr37AxJkQnCAM3QidOEbv+cTqfDytoah/v7nJ+doasquqISJAEkKd2TM1BF4kiSdRqtpQ63XruFXmuIomLbPHn6DKII0zLxfJ/HDx+hGwad5SWG4wn1RpOp67K2uYlm2exsb2OXK6xvmqiKRrksNlKe5xXeTnnRmQe7c3LtPDcq/zygeMjNY3qXr1cVLZiTV2XWO0EQsLy8jGVZ7Gw/o9PpMBoNxfhcLhe++ZOJ0OltXblGGEbC90pX6fV7nB8fc3Z2RhTHrK6usvt8m+XFRVaWl/nBH/8xmqaxurRMuVlm0B9wfHLMbCri6mVVKVJarl65guv79Hs9Ii0oUpWRZcIkRlYUIXnKJFh5COn8/9d1HRUJfzxCl14djfAfgR+UQpI5GAm3ghR3cMqDH/0btm7e4+7rr9HQQrQ0REFouJBkZFkFWSZGJpWVTI8lFV1DXljyQ6YoCuUM6K5Wq5ydnWFk0U6qbfOzn/yE5eVl0jRlkjlcjkYjxuNxocKf3/6sb25SqVawK+LfSoKQwXBAq90mCEP8TB1/+7VbnBwdoCsyr926Sasl/J1qtZoIYYwikqygDkYj/ugH/47/4X/6bW69voiqip/FtnVu3V7ENFX+5E/f5/atWwwGA3HIx2MM3SBJYm6/+QanR4d4rkcti30S3anQhKmyUli81mt1FEXm5OSEdquJoul89uihUPJnVh0HBwcossz+7i43r99gPB7TaDSEdCTNCJaW8Lje2Njg6ZMntNttAXpHEUuLi9RrTZzRhHa7jRsE6IZJnIKq69y8fRvVtFA1HceZcHRwQLPewJ25DPp9DF1nc2uT826XN774JSpZaMTq2jpRGOG6HmvrG8iKymAw5PT0lM7yMv1er+CwuZn+cD6BOB/t8vGtwIvmSJbzXVW+Wv9VDpuXmef539OyTk7XdZrNBj/72c+YOpPMrbJHkiTohsFwJGyQK/W66I5HY8aTMVPPxfM8Pnv0kMFwSKPVYmllmcP9g4LgenJ8zMyZ8u1vfQs9K+zIEqZtUa3XqDcbVGs17FIJZEF/ePDppwUHLcegZEURfEJJwjAM/MwNwrbtIuIq94XyfZ+zkxN0WWbnxTZX7tz9j9UPKskCOEWJ8kY9Hv74D9m69RY3btykpEsocoKUUDiTJ1kxS1NJdGBpruG98N3MO6g8nqdarQojek1gK7qmUa5WmU0mPH3woMh7i6II0zRxHIdarVY8iXu9nihyZSFNSeIEVdeFbW+/jxRdmPCjyMiKAMonU4dqvcLMcZi6M3RV4+zslEqthuN6IAmr3jRNef+jX/DV396ivVB+6Sv15a9t8qM/32b/6JhOo0FKKuxeJYm1tRUmmQd1uVQmCkOSKEI1DGZT8VTuLHZYaC8wHPSpNxpEcYht23i+6KCcjNMSxzHXr18X0UO1Gt50xv0P7lMql6it1+gsLtIfDmi32yiyzNrqapH5V61WaTaa+IFPrVzlwScPWFtbYzQeoxsGYSzivlNZ4vz0lDVzk3F/QBgETEdj+p5HHMZUK1V0VWUxM9g7OhQZfEmSsLW1he/7tNoLnHfPKJVKdLvn3Lp1k5OjI2pZwMV8BNVlmUt+5aTOX7XNm//9P3TlxSz/c26HUi6XSYFarUb39Jg4vBCjz2YzkUVompTKZaTMNWA6m+GMRiKNpV4X1kDZokbVVJyJw3Q6pdFosLa2xmePH1OuVuj3+3Q6HWETXKvR7XYLHy7btpk6U5qNBpZlkaTCv6yaubrmeXy+5xVTQ75VzhdEe3t7BEFAp9kSIP+veG3+1heo3OkJYDo447Mf/Wtu3P0y6xubLFd12kZEEiUksloUJFlWSOLMCFgS2VsCj0oyzuQFkS63gAV48vgxURDgzkT4pq2bPNt+ThRFLHc62IbJ8fkhcSIOz3Q6/ZzWLggCFheFmb8f+JyfdemenVGtVNh7/gJJFgGH5VpVhDPKEn7kY5RsZt6Mp9vP0FQVXTcZzaaYdpmFhUWCLJNuZ3+fb//dL7/6tZIk3vziCs92XnBlcwPX9ymVy8SZk8H5+Tl2psGajMYgK5gplEtlJOAX9z/EdcVKvmTbaBmIKqUKT58+5eqtGzx58IBKpcLO3i6yqnKwt0+z3iCJY+7du8enDx9gl8u8/tZbOIMBZyenPH72DGc85sb169x//4NiKfv4yRMSRWE32ya99sYbuOMRvX6fmedSrdbQNZNoOuazDz4UWyVU7EatyLj7+OOPkWSZazdvcS1N+fnPf87R8Qn1ep3p1MEwTWaeR0LK6ckJruviuS6rq6s8e/YssxQOPyfinZcw5dc8OfPyaz5PwHxVB5VfecErSJ0ImGE0GvHJxy8KkLlRq2NZJs1mgzhN6Q2GDMdjIdtKYiy7TCpBqVJGNwxapoGhaaRxgqppXL1+nWFPECdLlo2qKLieh+/7VDPFQc7Az/WplaoY/8MgIAljYjVi92BfYIhRJMi8JRGYqqbZ18qK+/HxcRHfvrKyIsY8RaV7eoxi/H9kt5KmKbu/+Av82ZgbX/kusqr9h//Sr3nJqQDGJ71jPnvn33LjC7/Dl77wBmVNpiq7qOGUQDKJJU1kJ0gySDKJgtj+JQkkEXEioqHzJ1h+sHJ5w/n5OePBkDgQvBlVVTna3yeYzvitr38dWdOQLIvu8Qln3VNWVlYolUqF33XurfPixQuCIGB1YxOkmKtXrgir1qnLafbUVmQZZzpFNlTqjSpR6JGmDRxnxMx38cMISVEo1esMxkNKVrkYMXT9V7+luq6QpsKMzbKE2LlcLvPppx+jJKDKmaNjGNJqL6Bl20tVVdna2mIwGHB8fMR0OuXFi+dCjmPqREHIkwcPePvtt9nd3WXmifHBKJWZOVOqpTLPnz9nOp0SJQlJ4LO7v8d0PGE6EX7njx49omTZpHFS+Fx3x0O++tWv0mg0+Pl77/HWm29yfHJKFEQc7O2zsrDIwfMdZudDZpJEvVknDSMGvT69QR9Jlnn7N77EeCR0a+2FNkEY4Gf2vo4jItTzTquSJdYcHIgRaDweF1u9a9euFQ+avEu6LBa+rECY/5x8FHxVcco/f35UTFJhR62qKuvr65imib21QRxGOM5EsNuBSrWCbhp4XkC7s4Cq6NmoljlYZqEelmXTWFggDQIUxNf65BcfUS6VqNRquFGArIhgz0q1WhTlcdbBOtMpcRDSPTujVq+xubHJYDhgMpmwsNghShNkSfyc2lxBz73hc1nRbDbjw8ePkElYX19/5evxa2JQKZCgpCCnEikykSQRq0KyETsOw6MX6JU2YRxz8tl7DI9foBsW3RefUmuvoetGZqaVIEkJcip+l7jwjhajmMA+8ueRnCZIxMhSiior4t9IU/xYwh+e8Oid73Hn7a/zW2/epaUnWGmICqTo2RCYoikKipSSRCGqlCKlCUkSkaQxKUJvlCcHw8VaOT+MJcumZJfQdF2kjAyH6IbBaDzm4YMHPHv0SOTdIXPeO2dpsUP37BRFAdsyCcKARJLorKzSaDZJSZm6MyFUVmSG4xGWbZMmKbZlijk+CDF0g0ajRRSmTB2Hxc4inVabJBTcKLI0jb2jQ0pVheXV2ivf0z//02csNVdZWVoU4DcQRhH1RoPl5VUGIxFK6vkuyAmarqCbOqkiU202CMKQ9dU1pDTBGQzxnCmNapX93T1kVWbr6hVKJZudZ88pWxZTZ0IQhMQpdBYXSSSZwWiMVa5StqsM+2MqpSpplLK1cYVef4Ss6SiGSaXe4I0vvE0YxUymDiurK9jVMvt7OyRpTMk2CUMf3dSISdAsja2rWxwc7bO6ukzJtumfd9ndecH56QEHu9vcvn2HMMiiu3VhaazJMocHB1xZWyaNQ+LAZ293G02RMHWVwJuRRiHlkok3c1D1C6nLq3Lx8mKUR33PC4rzzzEy07t8s5sz8eLMO0zXdVRVQ1U1kiQV7P40ZeI4DIZ9gsBnobOAJuskXkwwDdAUkbgTJwmmZdLstLFKNuPhECWFwPPxJg7vvfszTk5OODw8RMn4dr7noSGRRDG6ZdJcXCBIIiqNOkkQMekNWKg3ODzYww+E+6vnzlAVGbtUxrZsLNMiCSMUWclSnMtFUZ93dRDk5AbthQ4pMguray/FoH7NZOELMqMgSIpxKU4TQn/Gw7/8P+nufsqH3/tnPP3R79Pd+ZS73/wveP03fw+rVOPJu/8XceijqFrG2L2gWKZcmkNfMpZKSMiSLPhDqfBgnp3v8/DHf8jtL3+Ha1vXKBkKShojpzGkEomkZi8KIhwzTZGl+Z/l4mlWyFmyX5+L20EIfIXtR6k4cLmQEiiM9VvtFrqmcXx8xOrqqtiEJTGGZbG6vk6ns8DMnRWfXy6XRCy4YeC6LrPZFEWSCf0ATVEpl8rous7CQodSqYLn+gz6Q8bDIVJygV29+fpd/vKHz4mihJddp8djdrZ7vHn3TmHdmm9XNF0njEMsu4SsKILUGAbM3BmSDEkSMZvNBBVBloizEM5mvSEYzbZNpVSi3+8zGA6LbjSP9rrYcmmYltAZPn36jOXlFSrlKqQyZ2fnrK9vEMcpi51lNNMSG6EowrJL1JpNTk9OmE6nGXkwJU5i2gttvMBDkiV6mfXvs2fPODs7QZZhebFDEkWEvs9kNGA4HBZ+XQsLC2Ij2BRGd9Vyme7ZCZWSTdm2sE0DKU1QFQlvNkVTRLzVZX/xef3m/MdeduXvVz7O5ecrj7IyDKOw800SUFUNpSDpiofKdDYjCCMOj44Yj8YZMVXKTPdUDMMUS44URsMhpmESBgEyFE4FtVqNra0tFhcXkWSJu3fvEvgBdrbUCaOQBNE99fo9XM/j6ePPxIZXFQ/zaqVCrVoTG7pEEGcFYC422b1er5g48vsrbwSEz7uKbb9aLPzX6KBSZCSkVBZe3zKE/pTn//73aa9e59obv8PmvbfRFYWN174gWsp6BbO+iDcdsffpu1RXriKpJinCOCyRZFJJhgLsFr+UNCnwpTQbzaJUIpVkZFXlfP8J2z//Pl/5xne5ee0qq+0yWhJk2zqKcU7KqFJ5wZl3Spx/4uWz/+Un4oVERRjN5cVpfX2dxcXFwtsbhGzAmU6pVCuoiky/3+f46JA4SVhaXqG10Ma0bEajIbs7L7hy5UoW2d3AnU45PT4iTRJ0XRPOBqoQhJ6dnfHZo8+IwgB/5uJ7PnEYYttldEtYflQrZbZ39nnw6T7XbrYx5mb73Rc9/rf/9T2+8ZtfY21l5XNbpUIvliTYtoWiyOi6xnQqhLbNVpsoSXF9H9/z2Nl+gTubMhmPKVkWw9FACGqTiGfb2+Ljtk3o+/QHfWy7hKpqjMYj7HKFratXROEJBXem2WgwHg5ZWVnh8PCQqeuyurbG4fERp6enmIZBybIwdJ3peEz37AxdE95V3mzG8vIyg8EA0zQZj8eoqsrGxga1Wo079+4VtrS2bdMfjnC9gGqtRpwkSGnK7s4Oq6srHOzvc7C3x2w2LWxZ8odVo9G4iB5XtGIz+6pClZ+r+dd5vojNc7nmpS25lxeIBY2uqSLZJU3wfRc9+5iuG0iyLKRSKYydKUgyVrlEkqUDyUg8/ewxe7s7nB4dI0syZubtvrm5yeraGqVSib29PV577TU812Vvd5c4TanUa2imEAmrikK9UmWh2WJn5wWaYRTJRdVaXRSqWp0gCLEyEubUmVIulwonDcMwiuKUB8jO4231zuJLO6i/doECmUSWSEjYfud7lKsN7r71W1QNhaotYRoqi60m7XqJJArxPBe7vUrgzdj/5B3qazeRNZNUkkmyOKg0A6wl0mykE0C2lH3VVFJAFm9q98Wn7Hz4Z3z923+Ht167Qt3WkIIphiRGwVSSSCUp07LEpOnFqAa/DHTmrfg8dpDjUfnTTEQXaciKkoGCMuPJhNF4hGEarK6tsbyyTKVe4+q1a6SxGJ3iMGDmuiSSRKVaZTJxuH//PpPRiKnjcHhwgKYqHOzuiU2RJNGo1wUhMoupXlhZYanZomRZTEZj4igCUiRJQdGN4oBf29ri8KDL9/7gPi+e93n62Rk/+P4T3n/3gG/85td44/bt4mfPAfxiFa6KmyEKfcajEWEWQ6TqBpqmYxoWtmWxvb2NM56QRhHubMbq2grjyQRZlvjtb34TVVEIg4DlpWUWOx1Ojk9YWlqm3mhwdt6j2W5Rq9eJo5i1tTV2trdJopiTk5BiwKgAACAASURBVBNSwC6VWFxeplav0el0ODw85PTkhO2nzzg+OoI0pVqpEAV+MTqAAJNFl5cW28THn31GqVTi9u3X2dvbI0pSbr52G0mWMa0S49GIzkIbz3M53NtD00Ss2PLyMtPplDRNWcjcG/IIpVTWCpeKHC+aFwvPb/JyPDO/GYsbL3OsyB+Atm0XMeOaplGria6ke3ZGp9VCVWTiJKFk29ilMs7MQdU0ZEVlOHFYXltD1lRhY2IJa2AJKBkmnWab0XBItVIhyIi2SZLw8OFD9vb2WF5eFjl3288Fz4yUe2++wdhx0DWdNI6RUnj44CGQZK9LgmGY1BsNwZqPE9IkpZ5t61zPpV6vFzq+3L0g34TmYQrlchlFUaj8jcVOSQmkoqAAqIrCbHDK9Xv/GUs1i7KhYFsS1nobwzTRdIOpFzBeWuDx9j7lN7/EU0Xhsx/+H7z+rX+EVm6KG0RWhb5KEi+GlJnwirIoileKwKLOnn3I3oN3+fJ3/hF3t1oYiYcUiPgk0nR+aAMp+dxhyYG6y0BlfqPOb2Pm01VB6NQKIF3X8MKAVJYo16qMxmMkVSnYs48fPqBStllYWBA2E4pCv9dj//AIu1zhtZs3MXWNcqWCYVlMRyOWljv0uud4nsd4NEDTdXb29nFnUxRZgiTFcybF4ZNSijjsHDfTNY3vfud3+b1vxTzb2WE0GnP17QYrix3gYtS6vA7PO4F6s0FaKzMc9AvsZNjrY5g2ti2jaxorKyuULZvj/T00SSliinRD5ac/+Qkb6+toqsr+/j5R5n3d7Xaxy6Xide92uwAMsuTZ3GY3iiKub2wIn6BWg91nz6nYJeJYZ/XmTVx3xuH+PqHnE0ci9PH4+Ji33nqL0WiE67rCM2k6pdPpCEoCcP/+fTFiSlIRtyVSW8hAW7G5S+IQz3U5ODgQm6tKBcdxCi6SLMsoliCk5uflchcFFCPN/E05TzmIY1GQh8Mhi4uL9Hq9IjU5TQWG5HsetmWwvf0M13XZ2tpC0zQODg6IEuEFHkURG1tbnGeOFYZlFltHRVbQJZmT42Nq1ZqIsQpDNjY3sbNA2Tt37iDLMj/96U+pVCqcDk5ZW18XhaxUxs2WRI7r0Wg1Odrfy0bDDVzXLwq0JAuYI7dOmYwn7O3uFlQFOcPUptNp8V5fjuZ62fXX2+KlEkWceApWtYEUeRhyiiGnVA0dTZHRFYnQcxmendFa3uDK2hIvdve5dfdtVFXn4Z/9K+58+5+g2HV+leA3lS5Gv9MnH3D05H3e+K3vstCso0iJYDblndEFqSnDnS5sfC+PdMx9HC50ePnGZf5z5j93fluT3+T5gcyDAogjXHfG6elp8b1puo4tK7SaLexSiel4RKPRIPQ8mq0WSRSjpBJHR0fEUcxwOABZbNESCaIgFN1JGCIjoWsqqqIWBScXJIfZ1u31GzfwfZG6+2xnh/uffEyvP0BRZK5ubvLFN95keXGxEHdKSYJVMvF9YdN6fHhQFHUJ8TASHaYkrHiTlBgh4p06DnZ5gc3NTXzfZzqdUSqJDiVNU2GUpyq02yJ228u2aL1ejzAMC1xEVmSWNzbonp0S+j71RoOD/X0kUgaDAY16TYQGqCpR6AtBryxxcHBQvA55tl0YhoLMmkVFGYZRnKWc1Z9EIa7siSDLSpPzs1Mmkwmu6xaEwkajIbZYWSed6/Ny4uG8lc5lHOpz53juoZCfIRHo4DOdThmPx6ysrAjMzbIoVyp8ev8D3JmDneGek8m4KHBB5jHm+T6yJInAjXKFKAgzzWICioKZyZSmU5Gu3O/1UDKuVJ4OlL8eiqaiGUJbV63VmEwcACrlsvAUcyasLC3hOA5xnFCpivQXhQsPf0VRsmSiWETeZ3SUXHScd5UrKyuF3e/iK+79vzbNIK9Pnu+hWxU0IggcNNXEHzlMggBNVTg5PiVMUoLxmFSzaGoJru9y+9ZNdE3mwQ/+Jbd+++9RWlhH4H8XZMk082cKvCmuM2R09Jz+wRN+85vfZWmhRbuioMoBIBJXE3EKxJsPyClAQpwmxXbkcqHKD878n3MQM2eR56JP4PPprtkNoWnCliTOpA71eh3L0BkOehzs72eWqBXeePttRo6DO/N49uQxpq6y0GqINtid8ezpYwa9PpqqIkuJOCBuQKe9gONMkHSDm9eu8ov7H4p0jzhCURWsrDCpqlqMCXmRkmWZf/mHfwCKzzd+7xpbV9/C9yN+8f4B/+p7f8BX3/4N3rp7J7vxNIajEaHn4vkeURxjSBJhEJBGMaqsCM3XZEwcBExGI6qlMouLi4yycfXg+IhqpYKVWXP87OCAxU5JEFmDgNXVVaI4xnVdOu1FuienpElCpVLBdV1+4ytfpnt0RKPVJEoT9rZf4E5nQEof8DIsKQwCWo0mURwxGI+YTCY0m00MwxAFMzNdy21+c2uU3/zqV/HCFC8T/JKouNMplqmzs7vLqN/DNIXdi23brK6u8s4772AYBs1mUxA3M7V//t7ntINc3pT/+fI1j22CyEjMCb6dTofbt28XOFcSx3z80Uc4wx5LCwt4vk9KTBhm5FFdpFivrK6iyfDh/fs06w2hs6zV8LJzEJNilWyskk1roc3Tp095+PAhccZLMwyD+/fvFx34m2+9xdHxMcZsxu7uLt1ul3v37tFcXsb3PG69/hqPHjwk9F2uX79ZEDFT2WWh3SkgkuXlZRaXFpEVhe7pKR9//DGdTodOp1N0U/v7+2xvb3P9+vVX1plfu0BJ2b2cUwFUVcMqV/CnI1xniJVaGCWLNPTx/YTQdVjoLNFsNQmR8U2DietxMh7xxp07yIrK4x/9AVe+/J8iKRr+ZIDviF/uZIg3HSErKma5jl1p8Bvf/LtcXWtTMRRsfLH9kwUKnqYpqZxV6DSFJBa/88vWF/OWGPDLT77LXVX+pIwuYVRwkYFWKpUIAmHF0u+eUS7Zgj2bxLz22uvIKdiWTavdoXtyROgHvP/zn+O6HqZhcHVriysbm5ydndE777G6tsbB8Smj4ZBWs4GUpHz66aeMM9cERdMol8qQdTbzT+fcsuX//uEPqC8o/Ff/7W+T2xlXgO/8ndd484tr/C//84+4duUKS50F/DhE03RqlTIlw0BKwRmPcadCLuH5Hoqqsra6Rvf0hFvXruMMRXFYXl5m5Ixoqk2SJBYbvuymM3ST/f3DzNM6EfbISUK32+X69esErsfh/gH3vvAFjo+OGDkO2y9eIOsqC/UmtmUzdSa4symxphEEnsiqcyZF0AEIf/hms4Uzdbj12muMxxNcd8bM9dB1FdM0+eijj9i8elN8LymYhkXJslBkGPbOqVSr9Ho9SrZFvd7go48/plKpCMpHpq2U9AjFMCDr1nJ93vxZeem9cwlMn9+ilioVzs/OOD4+RpIkrl2/TqVSYdLrip87K+Kzbg/LttEtUxSpNEFDYW1lld2dHW7evCk8qzI3V0XTSIEojIjjmBs3bhTRZqenp2xvb3Pt2jVBdzANPv74Y+7euwdpSuj5bK1v0Dvr4jgO48mEmzeuF5DHgwcPBABumtSaLfE6GLq4V1SVX7z3M6EFVFUqlUoRiZZb2VQqFd5++21OTk5eWW9+LZBcTlNMJHxJJtRNAiAlJXUGDI93eePGDUqWQZjGYkWsG1QaTTTTxA8DJs4ERQFVTllaXce0S8h6Cbva5On7f860d0wSBeiGRaW1xMKVu2ze+zprr3+Zlc3b3Lj6GmvtJhVTRpNTJCIMVUVBEinBxS8xkkRxTJT8sq9TfiPPYwTz49tlW4x8/Vuwgi8dNN/zsEyzuAF1RSVJUnw/xHU9FpdWaDbbTB0XZ+xwcnjEuHcOcYSqaiwuLBJHCTMv5PjkjCBOcP0QZFV0As4YfzajWrE4OTkWPuYymJUasm5kfJkLUlzu5+P5Pn/0737Af/c/fg39JWzdUklHViR+8eELbl2/kW08ZYa9IQvNBeqVGkmc4gUhiiajmYKTkyYpJdPi0WePcH2PIBQ37mg0RFNVQj/EmYj4p6dPn2TOoROSNKFSE95DE8ehVqoW20PNMHj+/BkbW1uMxiM0XSOOIma+KyK/SjalSpnxZEyr1RJpwZGwNQ4jSCUFw7So1OokyEw9n8HEwY9iVMPAmfpcuXaTiTNlaXEJKU2xTYPxaIRpmgyHI8bTKeejMZvXrlNrtpi5LrV6g9PjU1ot4dVeq1RBAlWWIclFU+J/xZYn30Z//sF3eexL0xRJkUnlC6vgw0NRxOOMpDqZTGjW6uiaTqO5IBQQgG5qVBt1TEts086Oj3n/Z+8BgkKwsbXFh5mVTCkDpyuVMiQpqqJiaCJTz3VdNF3n+fPnLC8tYRoGumGwubWF67psbG5SKpfRDJ3BQJAx9/b2xAY5Tqk3miwuLtFoNNFVDVmCsm0TRyGDXo/dvT0qmfVwu91GyVxdc6xQNwwRR9VsotmlvwmQXCZME+I06yxiYQRmWDan4xF2pUqaRgLAzcasNE1pNpscHh6iqkoGDyVI/oRZf0A8HNKyVH739/4eiSwL4FdRqNYqpIqGM5mgKil1u4KSRJT1ADmcIRMjSSFRpJNIn0/MmMec5gvT/PUyucL8YbqMNc0TNi9fQRBc2JGEIYZlo6pqYbR/dtbFsgRgblkWlXKZa1c2ePbkEYfHJ0xdj2qtxp279zjv9zg9PWOxVhd4Gqlw6vTcoksCCdMST3g5863Ox7r8SR6GIQ8fP+HGrQ52Sf+l7zm/vviVDf74e98XbHHDYDJxqFaqTBwHXZbxA19Y4MYxmqqJCChV5enz58RxzMrKCufnZ/R6Pb76ta/w7rvvArC8LAz4e+dnGcCsMXN9PE/gHEuLi8R+XOApdslm68oVNF3j9u3beJ7Hw4cPSSS4tnUFSYLz866woa1WWFtb49MHH4sNUbmeRZIHlMsVTMvGDwMazSYzT2As7tTjydOntFot3n//fTY3N1lZWaHVauH7vpCPNJqsbWzgui6+N0M3TA4P9pFkiUG/L9JwwhCrUs2WLQmKqiIrGdcO8fDKMbvL+OblsxOHEVNfyJ/CIECRJCLPZzZxOPIDMdrGEZZpEseJcLlcXqK+vMhoKGyLu70ezx4/FVhbGDIYDPjT738fRVHo9Xr4vs/KygqmaVKuiwgu13UpN2qMZo5IbL51k3K5XHQ77/3sZ0ynU775zW8yGokQzitXrhSOorqu8/jhoyKHMIqioggFQZB5urtsbm5Sr9eLRUK+yavVasXIPZ6MCf0Au7Xw0vP5a494qZTjOwnT/iFnn73HtHvA9Zu3kTQN4pQ0uggayMWMURSxurqKZVk4jsOwd45Ogi1HWJUKpVpNiGwnE9I0oWxJqLrKBA0ZibKZkgYJUhQgpwEyMbIcE6QSqfT5bcDLtipcOjDwy4Xrcgv+qyQJ89fngxblYtWd8z+SDBc4OTkpnBEWF1vIGbCOJLGU0RNkXSVJwbZLYvt1esLR/l4BIiuKArKwqzAtUwifL20p85shCIJfWZwALEsjjkVSbU5UNFQdQ1WRSbFsGzlzwkxj4VzpukEWRKByfn5esKHPz88Ly9293UMk8w5JkucCpkjSxfsSZ4Bq/iDI/+x5Htvb2wXAHZMyHo+JY6FHazQadLtdZs60wHlMTWyH8u8jx+ISORHdQobrSJLE22+/zaNHj+h2u0wmE65fv14IlRVFYTadihFKUzg+PBK6NssSfkdcmMqJ71f8m0iIrnr+PM1BC686b3KGZb7Y3mYyFM4XvutRrVaRVA1NUQq3yTiKSRAeUy8eP+G0ewaSxNiZFH5dcRx/ziAuXxbouo5dKqFmgRqSLCgLlWqVcrnMzHU5OT3l7OyMWp78k/0bQrM4Le7ber0OsqDZKIoigitqNSF1WVgQ8VbZ+1Kr1T7n2R7HMZVKhV6vh+d5mNkiINIDXnX9WgUqkUBKJYaHTzh5+gHBzGHl+pu88YWvstKwSCQZRdGwdaX4Rn1fbFra7Xbhlz0cDugstNA8jyCwsW0TOZ5RlsD1h6RJjGVJpLMZHUMnTmL8WR9DV1EkCUlSIZUBFTVVSaQLGUH+Ysxv2F4lRcj/zuXR77Ko81dtZoCiU8oZ5nEkDnWv16Ner7O2tlZ0Co7jcHBwwHmvzWw2od1ZwDAtuufnVGp1FFVlZXWFiSNulNbiIu16nelkjKIIl0ZVV8QGLYqQsxswB8TnqRKNeo0HH3zyK9/Tw4MRtVoZ0hRDE7FAjj8lMQzKZRuzZIMkJBJK1uEahsnrr9/G911ebG8jyyIEYWfnBUAmOq7w4x/+kIV2g36/j22L82CaJjEQzQHJOR6TC7PzA18ul0UGX5JgWRaa1uHq1Sv8xZ/9kGmWRnL9+nV8L8a2bbF9y2x6x6ORAGQ1MSr1er1im9Rut7l+4wbn3S67u7vFSNzpdBiMhKMDqbiZqpUy+y9eICLJRLKJWa5cECs1rRjrJEnOut6iPr1yGQNAnGBqOl46pdVocuf127z37ru8fuMmL168wBlPBEfL9wRxWZIZDYacHZ+gyLKgvIQJ1VIZy7KKn8M0TVqtVuHLfnoqglllReHoRMSeLy0tEacJXiC2m5IiU6vXiMOI27dvs9DpECUJ+zs79Pt9DMNgeXmZ4XBIybLonp2RZLgYwJUrV4r3UdBkxoRxVBS3ZpYsZJfLfPjhh8LQcW1N2D8/fcoXOksvPZ+/VoHyp2Me/eXvo2oGK1fv0G4t0qpX0aWITrOGRIKiibwx13U5Pz9HVVVaLZGdFQSB8MN2XSLZpDcekqBy3h9imbrwmjFsLMtC0XWSKMELxcioWZbAlJBJ02x8RII0zKQrn0/WyFf+l/2kL3vY5MUr/9g8JpXfPDkIPn9dLnb5G5OmKXJKlhDsF38/J6udnJywsrLCZDzg7t07RLEgvh32egz6Q0zbRjcMTMMSmIEsE3oulm3z4Qc/F0B9Bni6nocURsXTc37EUxSF61eu8Cd/8ee8eH7OlWvtl76nP/qz57x1+w5BEKBl+JJpGMiaynjqECQxtXqd0bBP6Aekkoyqm1RrVR4/OhDumxXBRp7NZnQ6HRYXFznYP8E0TXq9Hs1mE9PUGQwn2RbMQJFkdFXk66Wp8F3KX0tRjDSOjo4YORMG5z0MQ6ORJ+VIItX32o2r1Fst3vvxe6JrlkWQQhhHTMYCq5JlGX/m0m63OTo6KnL6+r0ek8mk6LZzXlKUxHQ6HZI4JPB8Zs5EnIsEoiiElIJ8qKp65rktISkqsnxBabmMU76sI89B98AX5MoPP/yw4DnNZjMWFxcxTQPd0EnShHKlgmmaLLYXiEkLb3rdtNAzEmlui+J5HoPBoIjM2t7eJpUknm8/p91uo2karVYLy7JwM/cGRZZRZYXDw0O+/8d/XFAg8gfv8fGxWAS5Hu12m3K5XLDgG40GE8fBdV263S5Pnz2lWquxurpaeIClqfBKGw6HlDOTveOTk8IC+GXXrwWSS7LE4PApjWabb3/7P2GjXWW9VWV1oYZtyLjuBIkEf+ZynhHx8kIhZTyNvHXvjx2uXr0KaYI7c1hbWWE0mWDbFTFGhAmypJJKcsYKT0FCGLajICGRoBGHQoP0MrLXvJRjHgvIO40oiop1fD4Tzx+qv+qVz915bpoqX/j55IS+vCDm8/eo32cyHKCrGoaq43s+aSykNK4zw5u5jMYj4jjm+OCAg/09kjijO0hyppfT0HSjGKXzopkfHFVVqZRK/Js//AnXbrSo1qzie47jhD/7kyc8/vSc3/vWt8QoGsWEQSjsWqMQSYb2QpvpxGEyGGBbFpZlI6saRwcHRHGErmnCmjcW8pxWq1XY6b7xxj22nz8jSWJUVSEMY2qNRsbwlyAW74mu6wInyhJ9c8Z2vV4njCOadRF9VK/XUBSZ2WxKmiScnp4I+9kwodFoMJtOL0DvkYhf6vV64rXQhDd8Hg2vKEphXVKuVJhlXuSGaWTuEw6nJ6ei22+3qVWrJLHYTnpBQKfTER1TIgJF0zygYm6Rcrl7+iWgPMPVTdsSQav9Hmtr60xdF1XXKFfKhEnE1HNBlqk2Grieh5tZ8k6nU2zLQlYVSpleM38A5/edaZqUy2WWV1ZYXFzk7r17rCwt0T09pd/rc3x0LDaujQaqYfDTd95haWmJW7duYVkWt2/fLljt+TQym86YOg6tVosoilhbW2N7e5tWq8Wnn34q3DpWVzHMLJShVGIymaCqKn6S4LsuzWaTzvo6znhEu9XGrFT/34Pkiqry9u/+Yx7/+I/4yQ//Lf/k7/8DlCRCkxPCOCIKAyRUVCRhW5u5AUZRVIQhljNDLcMuIyUBjVqJJKgLm153htZoCjuUKOtOEJtCkhhFkbIE4BhSGUUS8/RlcDu/8ifjfPprfhPnwJ6SWarOq9I/d4j+CjhUfvDyeTu/5gtkfnDySHNNUTAUjcAP6Pf6lCwLb+YDCaZusL6+QSpLBJHoiuIwyBwgJEgobFPzrz9PL8gxl9lsxsbqKl//4pf55//sXRaXK2xdb+J7EZ98eESz3uC/+cf/JWr2s2uqBkhESYwkZ2NXttlRVZWp46DpBoYivvbaxjq9szN6vS6GYYCkZWtymTBJODg4yDAhLUtIyfSOSUKSxpiGUYwFOTaXY2ee52GaJktLS8wmDpqmEIQhqipM/wQ3KnudJYl+hms0m03CICAOoww496lUq5k06EIbl2NeSZIQZQ9NKaOrBEGA67rC1L9apVFvcHpyLADjOEE1LdHJZriUmq3y52keiix97uH4UkxUEsRiRRa5jKZt40cBUSwMEhPA8VwUTUG3TSRFZjQRDq1RHKOoKqZlEWZJKvk5y7um/H7LFzaaabLz7Bmj4YjBcECapCiqwouchW4YVCqVAmyfj0rLx25ZlvFmLo0MazSyji1JEsbjsbDYMQzy6K5arYYkSZydnXHr1i1mQUClUhHdmSuSj6UU6it/Q6EJQRRy4wtf4/DT9/jf/8U/5z//1reEz7dtIksC8NQkhWajUYBouZ9Ov99nMpkgSVAtlzganFOxLZI4Yhp7pJFH6E1B0VBVHSkKUWU5iyYPUSWVOImBGAkFEolUV4tikxeFywXrsi+0qqoF0GnbdnGDzHch+fVX6aQ0TSvASABNVgqTu7xoKIpSuGsWvtZhSO+sSxjF1Ko1oaTvdkUrr+vopkmQxmy/eMHJ6Qme51Er2dy6fg27XEZWNWT1wvvcMAxAREyVSiWm0ym6rvP6zZtc29rirNdn7/AA0zD5p//w6ywuLHwuCjyKI4Hx6TqqoaEaujAnSxNUXWPqTNFNC80u0Wy2kBBA6NOnj7l3+w4pYpSAlCtXNimXSgx65wyGfUolG+SLMApN1wiiCEWRcX0hfF7b2OBhZiWrqiqKpmKXShwfHQndlm2x2LnFaNAvOkShfwJNuRhtlUwLOBoMkRQxDiaIjizHRMMwzNjO4qZ2HAfTsggicQ5Ktsnm5iaKBIP+gPPeOSXLIiSk3Wxx3u1i22UMy0JTNYIwIk1BkSVkpM+9/68a8QzTFJKWrANvLyzgOA4r62s4jiNyEO0Sfugynjq4nid0cBmmISkSdqWM7weis8066bxY5V9/4jgcHh0Ruh7DwYCF9gLXN69QrVbZ2dlBSaFaKuM4DkdHR3S750hIhFFIuVxC1w2azQZbV64wGo2ED/+du5ycnGBaFvt7e6Sp8Lev1Wqii69W2Lp2jcPDQ4bDIaurq5TLZfYfPSrIz8MsM/LNN9965b31axWoVIJI1pDsNhv3vsGzn/8JP3jnXX73i3dpLzRI/IjReEKqiS5hOp0WWXB5MKN4oiTMplNSJLqDUZGkIRTiKZqckkQuimYJM39AVkyCKEGSsi4lszyQ0ougw9yALe9WcrA8797ytI2cK5QDy7ng9DIt4WXg+KskDfPd03zHllsG5/lrs9mMIAgo1+ukaUw4HlO3bbSSRfdwH3SZSIo5Ojvk/oNHPN7dxa7orGw1kMopD5/v8dH2C7545w53bt6EJMbUhK+QgkQcRqwtrwiztWCIrOnIkoxVq2HbNmvLS59bYLiuW3yP4nkuQSITxAlRlKBWyhimRRiFyDJESYjvelnHJ8aiii1aeM+dMnPEe364t4uiqQzHIypZEISsquJrxAm+54KioUgqmq7SWmizf7CPrMgoqVLEi4dpymv37jEaDHn22WMePXhE4LoYsk6zUsWZTlFsTdjCaBKSKhw2ZE0lTET0d5QmLHU6RbdWq9UKsaokCVtdXRdcH8Myi9F82B8wm06IMyqAqiioikL39AzdNEg0nUZnQQSe+h4gIWUBHPP4ZN7JzycGp2lK7P8/tL3pkyXpdd73yz3z7lvtW1d3T/dgZjAABoOVAxAESYA7IUqkgpIXSeEIW2GH/w5H+JPD9gfZEaIpOSSRkkCQoMQFJEHsBDHDGcxM73t17XXrrnlv7pn+8OablV3TDWIcVEZUdFXdvktlvnnec57zPM8RuIyORhomWIaFVtcgU6hWhAmhaVq0jVaxdutVv2DdC3/8FvO5x2w+L7SClWoFwxTuAdOpMLU7PR1QqVRYXlvHMUyUFL7xF3/J1tYWWxe2ceceUZaxvLZGp92j2+0yHA5Ik4TN7W36BwecHBxz2u9TrdTwXLcon5NcGfDpT3+a27dvs7CwwMrqKg93HhVs/k6nQ6KKAa3tdpskSVhcWmJ3f48kiZ/p+/S+ApSSZehKDFgEGAzGI15++VU669vMvRm2oaM1qgxOhly4cKGYxjoajQqKu6IoAjzOEjRNxbLsXFDazGt3lSzNUHPXgqd128qHLA3K/+88HlXewcp+OzK7kq3up5Vz53/342RUcRQVdH6ZlUlxZJZluX9zQv/kGNedEccJ4/GEZrOV41gZb96+y+7wkF/9px9lab31xOc52BnyJ7/zNjPf5+Mf/nCx8GU5Ox6PcV2XRqOBqqrU63VmvlzQDTzPE4M8c1mGpElkWSLUAYZG28r8lwAAIABJREFUpVqhVq1SqVUhv+GWV1ZIMhgMhzgVhygMGAyH1FtNQTFoN7Adm9APcCyRgQzzMeNJkhCnqRAV55q2JM1Q1YwwCAsS4MULFxgNR+JcpRkkKUkQUrUdPvjSS0wnI+IgYO7OcGdTEiUjjUI2NjaYz70CR/rcF7/I8e4uQRARxBE7Ozs4jsPLL78sRsHnmayUJsVxzObmJmEsMMn5XMwWrNfq9GdH2JbYdINcJ3dy2hfjwqOI6dTF84V7pWMr6OaTkMHTCMEAmqq/B6eS2b38XtXEpi6zb9u2RdmaEyBFh80ufpYl8nQ6JY7jQk6zsrIipii7MwxV5fjgiMvPPUetUWc8HtPp9VhoLaLpGmkSo2kZWxc2GZ/2OXh4nyzLcMdTFEV4eqmqyubmJsPhsNDx3blzB8dxhAf/aMT9+/dp5FSG8XjM6f37JElS/J8wd17QzWdTYd5fgEJ0lRIU9u69g1NrUV9YJ0J0TxQVvHlAHEcEQVCkuXEcM51OAYrZcFksjFSyLMY0z+aHCdRJReFJ8uWz0uTzKfSzfKHlvxIPkCXh06gF5QXzNCLn33qeSq8nuxcSJJedPtPQURQV07QIAsFxWl1bJ00Sbty7z6PDHf7hP/8Upq2/57VXtzr8w//xU/zb//07dDsdXnruavF5ZbdQgqOe5xUloCyFvbz2lw0LiTMIDaNy1vY3DCG2zsl1/ZMTUlQSRQdFKNfb7TaNtRUexXe5dOmSeN0wwnGcArOQ8oZEZg75BBByF9M0E9mFlWdNMnhEUYRumJjVWoELNRoN5jOXue8RJTG+79Fd6AiuUpLmpa7NfDJhOByKm8nQi3b4cDikmhvrKYpS/O2O42A7Dp7vEeSE2yzLSLOUJBabTBAExJEYjiqvrdThCVa2hVJ57+Z4fk2U3Q3KuKg8JH4EQqKS5rbWkuelKIKom+Ri4SiOmefXuVqtPuGjrmlnc+5GoxGNWh1D01jb3GA+m+HlPuFHx0dixmC9zdydUqkJm6RBv487nTIYDEiiCN000TRhMyPN6OQwkDRNWV5ZodFocPPmTRzHodFo4ORd5kqlUqy3arWKYRgsLS0ReB629fRO3vsMUJDGERN3xv7t1/nQ5/4Bw3lArNQZnQxYXGhTc2yaFzpEuRe3tKlwHKcwqwqCgMO93SKSwhmpU164LDsziis/Locpli+mLOHKXk7l43wQOj9s8UdlUE97nb/tMHO5giS8yfZvWc0t292SC9Ttdtm6cIHxcMj3v/xlPvMrV98TnMpHpWrx6S9e5Z1v3eT57UsFriWzgkqlQhzHOckxQTXEa41Go4L6IYNHmqZ5mZug5120LMtECYTD4f6+MB5LYzTDorOwiGlZXP3A88xdYbJ33D/h5PSY5cVFojDig6+8wrf+8usiU1XOuqeyxK5Xa6jk3U5VLW6syWRKNxflxnFMGse4kwnjnNdUqTrMvDlxmuLFIevbW6ws9Dg4OMDzfGo1MXDizTfeQNU0lpdXmfuiLT4cDtnf3yeKIur1OsvLy8VgSansT/LBrbVajclojOfNSVIB6M9nwnbFMkyBGeWv6fsBcZJi2jamYRAlMWm+TM5vsj+KVycfk5l3mqbohsBHHcdhPB4XBnNSEG0YBpZto+S2z0EQFITZarXKZDKhXq+L8rDZIEuFUNodjen2uthJwsLyIlGScHB0wK1b1yARCUXFdkjTlOl0yqUL2zx69IhMyZjPBO0lyzIuXLhQ0AzkJnjv7l1My2TmzeUfJljk+bqX4HkioRbHec+5kMf7A8lFxs3+299h6bkPUW80qNgKaRLS7XbxfJ8ojhiOj7lw4ULRzpUnzrZtPM/j6OiIMIgxTTDNM7KeqhpARiacQ4u5XRLklkr9MgheTol/VIA5LzuQQancaXvaoiljBnC2u5V3wfPvmyRx8bimaQXvo9FoFLvazE2xrSrdjnBMWF3ZYDpy2dk9IIxDtp57OvW/fDz3wWW+/vvXmLoujbxV7jhOYTUiKRTr6+vMfK8oBSVnS/KUpD2GqiqEufVJlKQsLi/j1KrFDROFAVoqZvqFgU//9JTBYMDx0QGmbbG5sc7MdfEDn7/82teIEtG9DaOIbrdLfzDg5OSEXq8nxnNVK2ITQrDgFxYW8FwxPVlSP2IytCzDrlY56h+zrC8VnbqpO+bqlSv84K++J8ovP8C2KxwfH+HnWcPu7i52tYLrusW5AcETMvNS38tHH5mmiapruZWIsAqZ6Ro6Sj6hJ81xIRPNECx6PwjQNJ0MpRCLW46NH4UF5lper3JDKltKy/Vf3kAlVBHnWZIc3nB4eEi1WmVhYaFYr7pu4ObBSg7qcCoVAt8XXTJFISXDtEySOKHqVGjmOJZpWfh+gFV16HQ7VBwLhYzNPLlQsow4imnW6/hRiOf5bGyusL+/j2VZRcOh2+0SRZEYmDGfk2QpWxcu0O31iPLN+N133y3gFd/3cSoVwmnI/Zs3ufKhV566xt8nk1xD0av4swm1qsOnPriNTYAdzZi7PmGikqk2vZ6I9rLEk8FALobZbEa9Usu5FTIAgHCIlAZqSgFgygAn2cWO4xSdCnnB5UL4UTKX8z/LYPd+gpt8Tnl2mXy8WGz5SwVBUMzHk2l2MbEWRXSywjAPyBnHx8e8c+06rV4FRf3bMzVd12h3a4xdt+iora2tMR6Piw6lbNnLzl6aChsXCRJLtruUkwDolk2r3SGJImLPyykCgiLRWVxEURXanQ6+PyfNUra2t7hx7RrVWpU7d+8IBX1e1l64cIFmu8Xjx49RANd1RZuZDD/3IrJNS4x/ms857Z/QbIihpJphoOoqfq7lUyOdk36f0PfI4gQlzXhw9z71ep2Tk5OiG1dr1Lm4vY2iigGtQRzRbrcL9rlcHz986y1eeOGFolTTcq6PZVnM3AlpLPhbjuMwCXzC3MNqPB6jaAKKSLMM2xZz53Rdx/eE1vB8llQu94t1xJMdZ7mO5brSNI0op5lIrV2nIwwe3ZkI5IPTU8IwopJjTTIJkJIrOUZKUVX8MERJMwZTl7UL2zze3aXeaGBYAo9NFZVKs4mK6EzXyc/FbIaGyuXn2yJLDyPW1tfJUsGbHw4G3L59G88ThNhKpYLl2LTbbYaDAQcHB3zms58VWVmlUsiKjo6OODnts7H+dzTVJUMlQmd1+wrDnetce+O7rLcrVJWI4WSKUe/hhwnVvDTpdDpFbdrr9TjN2bsAlmEWvBd4r34uyzLR0cnJZlLQWd6VJLZR3omeVqo9LfiU8YDyz087yotKZiDw3lloMkhNJxOMXA+mKIqQFeSYitydZ7NZYdRWXqSe77N/esCLrz6dF/Kea/Tdh2yvbtJqNIrgNBgMipJvNpsJnCKJGQwGTHJPb3mzyEBm5lOStTwjbXcEy1hTVUaDAVXHolat0l1core0guHYDAenkMG1a+9iWzaD0z7tdpulfEagvIn28zFVcZIUZvmW41Cti/l1qqKwt7vL7uPHVHIHRl3XxTgulXzckUun0yH0fRzTJA5DlDTl+PCQKBHZoqKqkMHy6iprWxcIfJ8sg2ZuPdvIXSTL6+TevXtCt5e7KmRZCopCHEdkaYqqwHQ8Jk1i5nOPNEnQNQ0UQXYVpbSgmFi2QxTFmJacyPz0NSff39CNJya+yKBeXkuqqmKYRtGZloTSLJf/rK+v02y16PUWBHcqX48yYNv55Jgojukt9IjiiDiKuf7221SqVaG/bDaYekKOhqbhRwmmXcF158SZcPec+T5OpUocxSiaWtivVCoVkjTl4vY2K+vrDE5PRfBVVRGghkNWVlY4zG1kLl++TJIkHB0dsby8TLPV4vr162xduvxUoub/j6kuCWGc8KFPfxHDtPijr3+b8dzDnbkYZKhZwmw+F6lvTiYU3jvCJ1qm3mev9+zOmAxGcoeTN3E5qDz1U5YymmfV/M8Cxp/5l2dnJLzz7yO/l4cc5+Q4Do1cvKmV7FCSNEVTNXRDL9ThMpVvNRoc7o0IvOhv/Uzu2GcynNPOKQRpmhblkZzlJ20yJEdIYk/lciIMw4I97eXtatu20U2LKBW+TWtra+i5OZuia3izOb4fMB5Nmc082u0utVoTx6nSqDfRDI0oCnGqlSIYypIXNSdDzufMXeEkeXx8LHBLyyJTFRIlw7BMNFVFVRRhyF+tYlkGCinudIzve2KIhB9Qq1SxctsZz/MY9fvs7e0Vna4gCDg5EYRSz/Oo1WpsbW1hmqbw3zo9FZigaRJFQV4KivMzc10830NTVYwcE5LnWGBqGbVGQ1zzivNUszqg8LeX90R5fLr4OuPNFdcIimbGaWkke6VSoZG/Z+D5pIlwGdU1MWSj1+liGiZHh4fsPt5lNBxycnLCzVu3AJEh9Xo96vW6+FvCSCggwpT5aIo3ccX04gS8qUc8j8iijPFgxKg/IJjNuXfrNhXHIU0S3KnL/Tt3GAwGGIaBoRu4rlvoFzNgaWmJ2WzGbDbD8zyRIUYR29vbz1zj7xMkT9GVGM0w8IOEanuF8ek+M82mt1yjaoBZtZmEc3Td4nFuwyozh62tTWq1OuPxKGdRB6g5Y1nq1uRRBr0lSCiD0/ld53zQOB+Mzvs7yc6G5EPJdLj8mhJrKu9kknVeLl3ljV4W7GaqgunYmPl7q4aOkiZYFYetbkfU6JGQiZSDqBAcO2yurvDuD3b46Gcv/cjr8cPvPeTKxYvUcpeDvb09HMcppAWyXAmCAM00imkacvafXOii5Sta12mWYlhCVKtpBqqisLW1Tb8/ZDqds9ZbYjYXpZlh2njBgEa9ja5Z7D6+x8b6Ou/uXMcyUj74kZdIooR5IMig9UpVBALPolpv0my1hbFaTmLdunABVVNxGnUq1VyTqRucHh7QtC1sUgwyElJsU2c8mGCbGrWmsFsRUpSsKFEATgbipl5eXiZNU27cuEGj0ShIrSsrK1y8eJGjoyOuX38XwzRot9vUqxWGp6eMhgOyKBJM9CwjQ8WwhJNEu9uhUqnnLqsqfuDTarWfAMNl5i9F3OX1KdZznlFpSu7rnYkpRLlLhaEbRZne6/WKqkGuTQHM60S+RxqFKICVG8RZhk694rC6vo6iayimzsrKMvdu3qbq2Hg51ST2fTQFjnZ3UTOFdO4x8Tw21tZx3QkL9Tonx8e8/f3v58mB6OrahsEf/+F/ol6vi8Qjp1fM53Mqeae8mmdpSSyGzbabwhtdTuA5zcXgz6oX3h9RE5UUgRslisJ0Msa0Kzi1OnXHYXQyYj6bYVZtoiSgnmMeaZrSbbeJw4jJaES302E8GDIYDGi1WgUY/rRspmwaJ9na5QzgPMgIT2Y7klJwPtORAUjq8cQNqRX8KAlUyta9/CyCIzMvor+84eXryA6h/JyyjPR9nziOC/tg27YIg7DoVMoJIqZp8tqrH+d3/vCrLG20WN/uPvVa3L9xxNt/9Zh//Pf+Hpqm5S11UTJLDEo2KTqdDq43L/72brdbjAFSFCX3ARKlcpzGqHJIRBzjBT6Nep1bjx+hKQru1MVutcDNaLXamLrBtXfeZfPSJR7cu8fG5hZHR/vMZnMWF5c5PDjklVdewTItrt24geNUsW1HANa+j+/7WJbFxYsXCeOINE2pVivohoGiqqRxSBCFhKHPnTu3cScTarYl7GdqdVRFRTd0xu4E07QwLJtmtyOGqpqmwNPyjpbjOOzv7+ceXccsr6wUmIiqqlTrFWazmRhgcHxE6Pv5iCeTMM/aNU0jUxQhb0kRdieqhq6b1BsN4RP+FBhArjW5Bst41LO4fjLAyc1RysYk+dmsVBjlJdVwOCwaC61WC8uyRHBQFPr7++weHqBYBos5W913Z5ye9NE0jUvPXcb15iSzkFrVIUoDJqMxe7uPMC1TDJK1LDq9Nu50ip37nZmJ4I5NplMqeWZ5+cpzuLMZDx48oBf1iqxPdvp2dnYYDAY0Gg0ODw+pNeqsb209M+a8b6lLqqiomXD2c90xa+ub6FYFP4mJ0gzTrmBpIq2LE5EVPVE26AY79x8QRlERRKQu6vwhb9g0Td+TYT2Nn/Q0HOu8FkoGH5kNyZRbiiFlQCoHQKlnAgoeU/kzRFFEs9ksmOwy4EkDMNM0i6xLMoqT3MVAUi1c1xWBvNvFtm2++JnP8ge//U0+8JE1PvTpLToLNQD6hxPe+s5D7rxzyN//+V+k2WgwnU5pt9uA6HTKrMj3/SIASiwwjoWvUrlc9fyA773xOv3RAFVVaDaafOKjH+fC5pb4v6nAzJYWF4rAlioqk/GYuSumdBzv7WHbNv3+CaZhkURzHtx7IPg4SUa1WqXd7mKa0js9YGdnn8uXLxMnCbZtc3xyQqfbEfiiaaJqOoOTI+7dusl4NKJacQh8j9r6BpbjkKZiyq4fx8Rpig402y1q9Trf+Mtv0mg02NjYQsuzEdd1uX//Ptvb27z4yiuQJLjTKZPJhO7SEtVahdOB4PZUnSZz1yXwPObeHFIxDixNU5rtHnr+d1i6CShUqlWSLENVNAzdIE6iIouT5Xu5uRLlZF65jsobbXlNlxUKsvSTmNlwKIaQjocjojDkAy+8QHthgUd37xYZ49HREY7j8OpHP8rInRBHsZgKpCi52Z7G9Rs3MBwbTVWYjDV0XUW3NNqVZmG1Mg/mGLZBvVFnYWGRo5M+Tg7K65bw46o1G/RPT4njmE984hO0Wi0U0yT2PFRN48b168UwCt/32b54Edu2+e43vslP/eIvPzXevH/DOnlzqgqzyRCn/hJZCpZtEVoiKxCpdlLU2ThnejVv7qEqauHFLE+8bL+fv0hl0PtZWdPTApQMTmUBcBl3ku91vvyTO1u1Wi0oDPIzyOynXq8/AdTL4CaJmPI9HMcpAmx5vp6iKCTxGQPeNE3hN53LArIs44UrV1hdXeF7P/gB/+7/+C6QkWZi7PvW8gq/+Qu/zMVLFxlNxgUp7/DwUBAnG42C3jGdCrsQuyqIcJLjo2kag+GQr/zxH9EfDnn+1Q2ef3kFVVHoH0z4N1/+HerVBr/xy1+iagsRqW3b6IYuBN8ZolQyTB4pDwXuYFksb2zy6MF94Rk+nzMajan6Av/pLS5TrdZEt1AV9Ae5+biuK6RLOd5kWAmkCXuPd5i5LopCDloLaZJlWliWjR8EBEmMqmvolkG1VkO3rCKDkMoBEJnu0tISjUaDnTt3ivXRbrfxZzP6/WNMy+TlD32It954ndFggKqAVsp0FEXBqTigqnmmZORrwCD0fXTLEJOXw+SJACTXX5kgfJ7C8rR1bhhGsSYl/iQ3CcmFimMhLg7imId37pAkSZGpSBij0W7hzT3u3b0nhkSYFt12B83Q0SwDzTRQNWjU6lQrjrDMjiKWV1aYuS6WKbh9tmkxdUXDwp25BFE+lzDPC3RdrA/LsnA9D1yX4XAIwOPHj1lYWBB0Es/jnbffZn1jQ3hqPeN43wFK1zSyQCwef+6ysbFJGHjEqomSQcW2SNIQYpXHB3s0G02xe5OhmwaZIoh54SwqlNfywpWDQZZlZChFq7SMAZXBbZllyW6e/L/yeJbsRT5Xps2y5JMYjuy6wRnJUD4fzkzq5E4oCaNSjCo7KpI302g0nvBsSqK4EBcHQVB03eT3k8mE5aUlfuazn+Uzr34MQ9M5Pjziwx/9KLdv3qBar6OqqtCP5Rmapmlsb2+zv79fBNEgCFhaWkI1BHYhaR6qpvFvf/8rrF3t8HP//Sto+tlOvXFlkQ9/5hLX//oR/+K3f4v/6Z/9d2xsbNCo1zGrVRJNQ0nP6Ba2bdNbWSEKAk52hRg5DKfM514+hmuBarVOnKQ08vlsdo5NyCwzyzLS3OMoTmJGwyF7j3c42n2MrqmoqKRpkvOqYmZznzTJCJMMxdBYXFoSBNg4ZjIcsri8xEK3x+PHexweHuJ6IovvdDrFOCl5I2dZxtWrVzFtQVKVgmPDMDB1HW/mYuaBTmCMwjAQRSFOU1TywZUZoAo8SmZNcj3LDbHsMPm0Jo/cWOT6LA8mletZrkWZtaeJmCU5G4+LDF3XdZaXlzk6OkLXda5fv87UdYWddrWGYwkMzfN9nHpNzENUFTQlI8ozLB0lL30b6KrQIfp+gG6K4SGWZdNs25iWjaIKD3zhapHz6YKAw8NDTk5OCu7W0tIS+/v7tNttPvv5z3N6dET/+PjZ8eZHRqPzh5KSJhG2bpBMx9iVGs1aFcdSaDg2g91DcdOZGkf9E+qNBqZj48cRlmmSJLHwlbcMnPQsuyhzms7vHnKHKFuJlnedskD4vBvB+WBUfq4s+yQuBBQqekkIPa+jkxiTDGCy5VutitnyEn9aWloq3ksGJRnAZDCezVzmszlbW1uF0+NgMBAEwjxoR3FEluVTj1WN1ZUVbl+/ztLqClEcM55McJwKWn4jrK2tFdMyZKAExOwxTS1KzWq1yp9+8xssXWryqV984emXWlV48ZMXyDL4V//+d/gHX/hZjo8Osep1nHaberVG4PmYOe4xOj3Fsizu373L1uYmDx/eIooirl75AFbFYTqd4fkhw6HAx+IcNwExSdhxHBpWU5ga1uuiYxj47N29ieZYWJZJlim02x0URaNWzxsMioLmaKgKBEFIqmQkWcrj3V0O9vZpNtusr60xmIzZ2toqcDfh7Dri8uXLmKbJ/v4+g9EpV65cKXAqWRYaqkKr1SowyDCMMAwLRddRFE24bQBKHrjCLIbsLFOXwLbcEEGMNX9aaSc3PBnc5HuW13KZIiPIrECaFRWLXE8AGxsboiR0XVrNJllO1Gy329iOQ6/XQzF0+uMhhmUSJSmGZqKrGpmWawPzykBTVeI4LaQ009mMdrUrgq2q8ujRIyGRSYXVsmPbYgPNbVzSNC1M7xzH4Xh/n3d/+HZhVvi04/0Z1pGhaaAkKcP9ByiJz+XnrpAFLsOTI5IoxrYsYjK8wKfZbvOtv/prvvonf8o7N24ycV0sx6HdamPoGqZhEOQqcAHSiqGQ8mLEJZ6RDERwlmpLfKdsMVEWDpcDk/y+HKgksF2mIqSpuABlxi+cyVPkc11XiEkXFhYKAFy2VGu1WlHqyfeQbVWZCe7t7hb8KCmB6ff7RRARqbxoHAQ55tBsCCuLMAqZTCaEYcjK6ip+bpkimdLz+ZzJZFJYrRq5F7XUQWmazh9//et88b9+Fd140sPq/LGw1uSNb9yibjtUbYdMVbFrNaJc8hGGIWQZd27dppqft/39fSaTAQqa8A/3A05PT8VQgo0NYV6Xf956vV5Y0SSJ1JydUQymg1NMTSfLFCqVqvAZswT+Y1pik8u0DD3nV6mKynAwpFap8fwLL+BYDo8ePuLFF1+k2W4VayBJEra2tlAUhZ2dHXRdp9NpMRgO2drcIvQ9apUKmxvrmIbBZDIpyuVKvY2qqeh5WSvMAzXCKEFRBBdL08RwU4lxyptQZjdP8x47D1PINS2Dkdzs5OcvyMm517v0NZPvI7FWgG6vK/huhsny0rIA1E0DRRecLqviiEnGVgXHrhKFMfVGE8+boyoaplPFzyEIPfehMiwTdzZDydf98uoK3W6XXq9Hu92hWqmwfekSq6urBL7P453HLC8toagqe3t7pEnCab8vJhVfvfp3wYMSnuQZGWE4ZzIe8u47P+R45JIZNla1Sqap+LMZxyen/N+//f8SRgn/5J/8U37xl77EcDrj3/2HL/O4PxSTYUjJshhVTUgSH+HzBGSQpsJPxbKsglwnL6L8V3bSzgPh5zOn87tUGZ+Sj0sAWQLn543u5PeybJIZUTnLkr+TILssYSXGJCkXp6enorUeBiRZhmlZRElCEIViFFHutKgbYqpwo9nEqVZAVbArTmGsNnVdfN/DsMzCW0ga4wdhSLVWQzN04vSsfE7TlB9ev87W1UXsyo8eqAAik3rhk1vs9UXHJ0tS1CSBOMllEBGz2YxqvSZcDQanREmIZYqRVmEUoarC73t3b5ejk2PiNGXquiLzSIWKwLYdca0tG0PTmbszbr57HW8aEPoZwTxCVXTSFBRNI1Ey0BU028B0KmSKSpJCrSZcMgf9PjfeeYedBw8wVGHCh6KSAUEYsrS8jGHoBL5Ho15jdWWZxd4CC+0utUqFpYVFSDNO+6ecHB8XnvPVahUUhUyuMQXhmR8GpCRkSoqinm2kssQrN2Ak3lrO5uVXGRQ/D5Kf5+7Jn3VDFy1+XUfTdTFUV1UwTBNVF5OCozgmzTI0QydMYqbzGZbjCGWGZTM6PkXLFNQ4IQ58NEXBti10TcObz7l94xrj8YgkTYmzjOPBKSenfRRVwXZsur0euqYTBgHzWW4t5M0Zj4bs7exw5+ZNSBOiIGA6nZCmwvNd11SWlxafuf7e99ipNE3RVJWF7RdyycQxf/B7f8WVK8/xCz/9ORq1OoPRhDTTUFSNy89/hONJghdlPLh/D4Av/96X+fCLL/Kpj36YdqeJqsJo0McyKqiKoDOQKFQbVVx3WlyMp+08MpCUqQVlm4unkTTL3ClJgpOCXmk8XzbBkz8DBddJBiKJXUmuiwx25ZHSMsUfDAYsL4vdq9VqMRwOcTQVPxTOD6ZlcXxyQpZltNttVEWlUrKmGLtTkVnZFg1dIyOjUatzeHJMkiS48xkXL15kZ/cxaZai6hoP86EAMqOzbZvxdEJntfFjX/Xucp0fvvMQz5vTsEwSL6DdaXNyeprv0ipJEtPotOgsLXCw9xgQC9y0HcIw4P7OgCiJmdy6wcbGJltbW7gTEaQURREuBfn0n3t37+G6LoHno2EQhgm2U0NTLexKHcVQUdIY1VSpN+qYhnD9DOZzxqMRFbvCxto6aRwzGgzzaUEzDo6P8+k0KStbW0z6x+iqyvHRPr7n0u30aLdamJpOb2GB62+/Q5oJ/pNcfyITMnKOlo5pGMRJLDYaQ/CYkiyGfC1IHFOuQ9lVLcMMZbJmGe+U67S8hs+/XpnXl6QiY9Ly9SLXq1OpkGb7IEa+AAAgAElEQVQZcRLjBwF+GGA6NsPRkEc7jzg5PCqcBZpLy/zwrbdYXlnhxrV3io03U8X1vHX3NhkQpjGtVovR3oR79+8TBYIHKJ05q7UKR0dH1JwKc9dlc3VVCNU1FV1VabWbnA76NJsN4fX+jOP9d/HQBDComrQWNtjcuszBo3ssdBZJo5T+ySlH4zmPj0+YTie8c/1dtl/8GH/2ld8C4LVf/aekoc/OO9/l337lq/yjX/sVsiTCcz2sjkOchGKnUw2m00lBL5CGXefr8bIYU/5cFlvKC118/hwHeOfmTa7dvslk6mKaBlcvXea1j3+yyJbO41nndzpVFd0kCYZKGxO56CqVSrHryvKw0WjkolPRVu90OoU+7tq1a1SrVdbX14uFLXdgyQSXY3z29vYEuW19vWBAO47D7u4ub731Fh/96EcZDoeFDrDVahWZXLVaRZMg7497zTMwDUPoK6OISrXG7uMdqrUatu0AKZWamM67f7CLpihYji0GNAbCudILI3717/8aURjzN3/zNzx48IALG1u0egugKCKYDEec9vvoqkan1cZcFJ95Np/l+IqK6ViEkU+tWqXZbqLpBsFkzs79Rzx+vIuiwIsvvMDB3h6dTofVdYHLxZmwpE3TlOPDI2YzlzgKWFtZ5Sd/+me4ff0a6xubDAYDdnd3uX79XZIwYnFpAV1ThaVwEBCFIWuLa8VGFkURKEpOQRBAP1mGpetk59amtNwpr6endaEln+1pWKqEEmSgkhugXJMyoEh8VwLtSUmrqmtiwyTvVjubm2KcFCIALiwusn94gGVZDIdDmh1BPrUdh+1LlwijEKdWZe7O8HIctt1sMcupMoZhYOSk0N1HO6gIQP/4+BjDMLi4uoIfRQxPB0yj+IkK6fzxPt0MFEBHVUDVVeIo5eGDR/iex/LKBpVai9v37vGX3/o6i6ubOLUmd2+8SWoKDs+Hv/CbZFYV3azy0se/wFvf+2Pevf2QVz74Eo5poSoJmZqSkqFqGZpq5i6bT3rknCdqllPf8+Xc+fJvMp3yO3/w+6ys1/iV33ie5dUGMzfgje/v8i/+9W/z8z/1eS5duPDEwpDvLWkRMkOSwsx2u814PC5Sd8n1AApTOJm+y+wrDEPm8zmHh4c4jiPKpLyzJdnt0upCfobRaEQQCBmGxLn6/T5rmxscHBwQhiHPPfccOzs7WJbF3bt3eemll4o5faqqMhgMsC2Te/d3+chP/niX/eDBgKXeQtEODoOAtdVVvBw7k3/TzRs38Odzao7DeDSm0+vih3HhnLD3+DELi8vU63UO9vdR0gzTNIrZgcfHhxwfH7O6uoppGdi2hd2osbK9wXg0IktiyFIW24tYts27b73BZDTB7U9wbIGhrKyvcfPd63S6HVRd5/H+Hqtra8SJGDIahiGXti/i+x5h4HF8eMhkMuQDL73E3t4u/ZM+tZxiUrXFLLgsiXP6Q4hpGDimha5qBHGEkXeQkyQhSYVOT9VUMZGnMAI8UybI0q6wLIYnMnXZ2CiXd2WCZxRFhfkjUGBS8rWCIHiCmiAPAWSfBcI4jkUAzR8b5lIYufZqtRoJGd3FBRRVpdfrkWUZR8dHdLpddh+JWY2XL15CURR8z8OuVPCmLscHh+wfHZBmKRXLJo1j7t27J9a852G5M1AVMR9vNhMawGcc7wskF0QVMcRAyTIUBcanh4yOHmJV6+wfHvG1P/8Trn74J1i6+GFWrnyEIPCoLW+z+fJrWLWOYKMrwvhfIePxwzu88MLLZEkoPM01jUwVbdskEXPH5E5Vlp/IC3u+fJMX4Dy9QF7gf/OV3+Pjr63xq7/+QTq9KqalU6tbPPf8Apev9vjd3/0225ub1PLOXPkiy5/LgbK8e1k5/6bZbBYBDCi8n2QKL/VvcvrKdDplcXFRqM6VM+Z7v9/PdWhhMXhCgqNJIia5WpZFFMcsLS3R7/cL/635fM7FixeL5oLsiqZpSqfV5lvf+QEXX17Bcp7NQQGIo4Sv//u3+PiLL5JEIZqqkiQRaZYSBj4HB/scHx9iWiZbmxtc2t6m027hjiec9E8wLXEODMtieWUZzw/EGDI/4Gh/D1PXmc9cWr0ujx88QFMVojBAVaDZbNBdWSbwfYaDU0bDUxzbgiRhNhnx+OEOSRBg6yahL3y9gzAgjCISxBDQeqOBbpl0Ol0aeQY6GY9x3SlpEjMejvD8OTuPHnHaP2U8nuQjnxZJkwRVVfB8j431dZqNhsjClLMMxLJtdE0TRnZZhq6Lc2zqZ0GinM3LzEZmQOV1CxRW1EY+MVrTtIJPJ4XdZRxUbmRlDqFcZ/JnTdNyOY54LzkSS1NV0lQMbVAUhW63e8b/UyhMC3u9Hr3FBeqNhpCd2Tb1Wo3llVUMwxCbUq3Gw7v3ePfdd4VnlmmiGRoqCmTiPn7uuecwLZPbd24znc2ERCcImc1mbF15/qkg+fukGWQo0t0PUBSV9edeplqtc7x3g9l0xEc++TPUl7aZhylZpnPhlZ8mU1RSBYE3IADGSFHorm1z++3vMvcCbDIMQxDfNEUhTgPIW+zS07sswjxPcnvWUX78wc4Oupny2Z9+usZtbaPFT3zuAm+880N+4fM/88TzywA8UHBlyphYWdIgp2OUaQnSnljTtCLr2tjYwKnVGJycsLe3RxyL2t5xHFHSqlqRxpcZ6TIjc2cuy6urBQgvB1NK5r5sa0uBqiwBXnn5Zb79lXf5uf/mVbHjP+Pc/fWf3mJ9ZQXLMAiisOhGLi8ssrO3S5B3MN3JRJj/myZHh0dF6V2tVhkOh8I10baJk6zwDzrafUzg+9iWJXRuaYo3n4v/F0XUqlXSMODW9XcZDoeEvs/g+Bg1S4mjmMCbY5s2drWKbgiR8Ww2QzcNmq0WRg4Q6/l5C+OI1Y0NTN2gVqvm9sEhcRIW1rnk3lTStyxOIn7qpz/P/s4Ot2/dotvtYuqGuC5ZKgzSlDOHjTRJiMIQPSeUni/dJHwg18H5QwYmCUWcd7s4f5R5VmVKQpkIGscxumGgopJxxr9SVZVUTdE4GyaSqQpH/RORQaViEEelKjzBZr6HquVTg6KYaqXKm6+/Lj5jmokZBKaFisJsPmPzwiaPH+7QzukNs9mMKBNrVDUMKPH0nnW8bwxKJSFVFDIUYlTCIMTqrXBhZY0kFKm8H6QkiCCWodHfvYOqauimSa29hKorpJZO4IpswKrUaOoVHFNlOB0TxRGmbWMoon0p2/BSciLLnHKdfv542u+v37nNxz698dQLLY+PfWqL//Vrf8HPfe7z7wHZy+WixJXk4+WpMEEQFKl8+V8447AcHR1hWRb9fh8j92aaTCZFB3Ge36j1aq2wSpXg+Xg8LtJ9b+4RRRH37t1D13U2NzeJ8s6a9J4CCjqDJP69+sGX2f+zQ/74X73Oa7/6Eo3Ok5ar3izgB1+7zfH9Cf/Vr/19xv1j5kmCYeisri5zeLSPOx2zsiKId6oKN6+9I/gtB4eQpCwvLzMaj/MdXGi1jo77wh5X12g0ahwc7HF0dEAchzQaNeZzlzD0ieMQsgQliElcn7XuAo93HkEUEcUxuq5RsR0Wl5YYjlyavQ6u67K2sImqaWKSdRgUFi+9hQXc+YyTw0Oa9QYJFD7e3W6PhYUFdnf3hRQkDEmSiKWlJfzA429+8AMs02RldZUkd9Yorz9DN1js1YhyB4miHMw3BXn+ZYCSYHm5kywDmed5hewpTYWlSlntADyBw0qfcjkoVnahy5unzLIV9czSGUSA0lRRjspsL4gjer0eURzTaTZFZ9q2OB0N84nBY9qNFu1mk3fefptKTj/RNI3xcIRZEb73g8lQWM/kAuLNrQuMRyMODo9FOR4ELK2vM5+6RYn7tON9BqgUlBTBTlBEqZang16aomgOQRBjKgaZppCikmUp9777BzSWNog8F7NS58prv4yia4yOdlle3cB2bNzJKZ4bYFgW7YUuqmkSeXPc6aRo08ubX5K/pLD3/FEOQGX8KQh9Grmi/1lHvWERhkJLJ0u4sui3jHXJjEgaw5XBTanHkwFVClIlTiV3SpnpHOcdJskJMk0TXdMLbpVkvMtyT4736fa6Aoz2vPfIaqQFsAxUkpYhwfJf/8Vf4vtvvsmX/89vs7TRZnm7haIonB647Nw85Mrly/zzf/br1B2H5YUuj+7dJU1ijg4PsWwLTTdYWV5lYW0d4pjZ3MXSDRa6PRa6C4xHI9jbY29vj1qjzqB/iqIoLC0tcXx4iOvO6HU6aJrK/u6e4JYBqqGRZSmnp6dEfsBsMkLNEixdp1VvsLy8zHAoSK0Hh/vE6PixmAzUn4x47bXXOD095fT0tPC+HgwGjKeCy9RqNFhc6qEpKqPRiBc/8jIPbt8mjCJanTaXn/8Aj+/fZT6dUq3VqdYqKFnKcDAgiCKy6QTHMqnUqtTzTOP+/fsMcyZ3o9EosliZwQrP9KRofsjmyvlSTK4fRVGKa1huzJStecrYkxQLS6kUnI1XSxKBjSWpGAybKWca0jRJ0JSzDLpSqeDngc73fSzHFu6ijSbXHj/GtmyiMORWbtsSBAGrKyvMcgF9s9lka2uL+GHCwf4+H//kpxgeH/Pg4UM21gWnTFVVolRY1SwtL9NbeLZ77PunGeTpoMKZRokMMkRWhWoSkREpOhkGCgmVZpePv/YFUhT+8iu/xeDhTVa2n2N08ICrz10m8CZoWUCtZhMEEb7rcjoaEYZn3JPRaESz2eTk5OTMDja/2csylzIZUlIF5EWs2BX6J7Mf+RcO+nMqjlVgRnBGmJPvJ3dI+d5SriG/ZBYkX0PaocoOh3wNGQBnsxmdTkfYJkvztFz60h8Oitdst5pMJhNRBnY7ImCVHBIqlUrR4ZEZl3xueafOMuHNpaoqLz//PB9+4QVu3r3H6cEA3dDp6Q6f+bVPcWF7myRJOOmfMBwMWOotsvPoAd5szoXLV5i4MyJFp9Nd4A/+/e/SqlWxLZNGu0Nn0eSvXv8bTEOjWa8KE7c0ptdb4HQ4YHF5mYomgegJ8dxHTRI0UyNJIpI0xfWn2KZNqqT4/hyFjP7xCTPXJQO2ti9g1qpMR2PhoqHB0vIyTsXGmQlZy8HBAcPRhKWVZSBjY2ON7soSk5M+hm1RqVe4e/M6CvCJz/wEd+8/wK5XufrhDzGdTNAUmEzGLPZ6OAf7jCcTgvGUk/4+db/JcHQqznmc0m40sB0xhlwKYsuaSLmhSTtmSVKVQUius7JGtUwkTtOU+XxebDbykHbG0tBR3htSMC6DXzGXMfeFNwwDNQ9cqqGjqGrh1BHnnlfB3GP30Q6j0ajYcA1VZTZzuXr1qqDDqCpvv/0WmqGxcXEL1xeJxcsvvsTOvXscHR3R6XS4c/8ely5fZjqZiNHskzEXLl+i93dZ4v04hwTQISWNfTTdYHC0wzt//Q3IMmaDQ9LVLQZH+zz3i7+ErivUrApJ6DObuRhGzHzmMffcYhqHlKRI+9PivRTlCTxKptIFy7b02AcuX+FPv/UXfPbzl1GfYan7V99+yIvPX33CqqXcZSkD3eXflX+v6zrT6fQJXEjyrOCsqyO7Ob7vC3JhPthUZjgy26nVRBdUMsylA8J8PheYS57yA8XOJ7lTsryUX91ut+gs2rnNbrVa5eUXPkASRKiaymQ+o1qrEcdxoW0Mw5A4ivHmHoYpxp1XqnUarRa+61Kr1VhcXGBw2ue03+fyhz6Sg8EpWRIRxjF2pUqj081HQ9kc+x62ZdFqt1GAw8MD6WFImqUomcDOFhYWUADPneNGUyEniUN2dnaoNht0ez16uQB16k7pHx4xGIwIkxjPC+j26uzt7XHlyhV8P2Dnzl3hhBkGbGxs8OCeENgq5n1CPyQOIpyqzaMHD7BMg/XVVfz5nHqtVkyqiaKIyWRCtVEny6DT6RKEYnyaZohNR+KmEgIob0zSbE7KqLIse6KDJ9cJ8EQWLwOWvAfOl4lyXZbpN3Ity88iS81n0WjOQxqdTqfwb5Ie5LZtMxqNOD4+LjI1XdcxNI2T3O5H07SCVuM4jhiEalmMhsNC93pydETgeVx6qf3U+/HvPECpWYqmpEBCf/c2D9/8c1rdJXq9JX7+S/+Io+Nj7tz4ITvX3yCJI1QlwbJUqo6CN05oNeqkqU6rbtJs1ouUVgK+wtz/bDqIrOnlhSk7C8iLI0/0ytIi9Wqdr/zuO3zpNz74niB189oRb3x/l9/81S8VpVK5tAMK90lJ6pQXQe5WMoWXHT3P84rOm8TSZJAJgoDT4ZBBLvhVgcXFxSKrCoKA7e1tfN8vnDJlaVv2m5bZmgx8cMZiLj8md83yYjYMg2G+YJIkpmJVaNTrZApF4Kw6FbqdDvdu3sJxHNzJSMzxa3d48EBYqmxsbqIaBvfeegtNM7C+/9dUHFtQDiZDsiQhS1MMTafTbpOmCs+/8AL942OOT46pViqoqvhM7V5HTEZJU+I4YXVtg+l4gm04dDs9JtMJNa3BLPCpVGo4di7S9jyWV1ZBVWj3ugyHY1rt9hN/b+gHZCTYpsV4PMTO19fly5cJooxqp87uw0dEUUBFt+h0OwyOTmi1mxzt7TM8PcXJaSIrm2sMJ2PRKUUE0/F4RIrYUCv5uCUpGJebV1mHJzOqOJ8CJHlzcLb5SbigvOlKjarM2mWHV25ekjsnn1NmsJfJonI9yntJViDl50oMrFar0W63CT2PWk1Mrq7X64WN86NHj9jf2+M0t1w5PDwsKDGz2Yxbt24xGAzOSl9N5dJzl5lOps+MJ/9FMqg0igiTgLvf/08sbb/Ehz70Kqstmw9+8AX8MOI/KRm3bt3mpVc/y7/+f/4lX/jC53nl5W3CKMTEQFEE2xQtLTKC4rXPSVLK5df5E1qWqoAIXl/6uV/gy3/0n/nf/pdv8umf3Cp4UK9/b5eH9wf8yhe+SK1aLUqhsppcUYRoVO4YEhiHM8sYoJjuIQdExnFcWJxIgt8P3nyL77z+fWbzOfWGxXwWomsGP/mp13j+0kXiOH5CqyeDnjwHcvBmq9USgxc7nSJjAwqCq8zszqf+URQVDQi5YDXzbJafYZn5gFFxE01clyAMUTWRCd6+fZuFpWUqjSa//yd/yqODQ7JKhcS0UIHv3XuAnqasN+t85mMfYTKdMB2LEUj9wSmeH6KpcOf+PQxdpbfQ48LFba5fv8ZoOETRdaq1OlGSMnGn7B8e0G22BLPeFNKekBSnWhUiVs9ncWkZ23GI4gyn4hAnAxYXxfTabrvDoH/KcDik1axzkgn1gm3bzKYuWZIyGY45ODhie3ub+XRClmWia6jA7evXqVQcyDL0qs5CbvwmhqNqOTaYUKs30DW1EGyX1QWSLCuDhbwmsqxvtVrFJlO+ZmU2uawOanmGO8nn/ymKUtj3StwtScQQ17JTiBS9y2zsfGZVvnfKVUQZ711YXuTRo0dC26kq9IdiWs/y2ipoKs1OG0PXiUPRrS0bAtTr9cId16oIcH0+fzbsovyoNv1v/fmtH59unB9qlqKRoOg2k/4+N779FV795Gf46EsfYGWhQxjHfP/Na/zZ1/6I137+NzGyCa9/++uYhsprn3yVlc4iFasCqY5mgWHqRbdMYi0g+CJyRxqNRmdWGOd2hTKoXe7KPdh5zNs3rjGdTTENk0tb27x45UoxBrxMfCvjSxJ/CsOwEBUnSVKwtuWFl5lK2W1T08RIo6998xucjI/5/C9d5eLVBRRVfMbHD4Z884/uoCY2P/vaZ8S46HxXm8/nhdav2WwynU6L93IcQSh0XVeM6M4/+9HREQslAFI+XwbdctaZZRlZnAdbQ0fVdcF3UxRqlSpZmnLj7XfQVJiMByyvbfD23Qd8/+138LYu4l66QlIvyWeyDOPkiMbdW5gnR/zEC1dY7HT41Gc+gxcEeGFMGPuoKESBTxpGRJ7H4eE+Uz9g5vlUGw26C4u8dOUqSRQx6J8SeD5BLCawOPnk49HgFEXVqFZruR7NYGl5GctxmM/mxEnM/Tt3qFYqjMdjVleWUDLwvBknR0d43kzw7TQTP4hYXV6l3Wny8P4DNtZXmU6nPHxwT6yNKKbRbgr6xGCMZhrUanV03RCWvapatOfl5lAu484HrGJDyNdRGRQvBytZHpapNjKgyDHocsN+9OhRMX+u0RBNBdnZm0wmxXPKbHjbttnb26PVahWvW76X5Jqez+ekJIXOVEqUpDhZbtympmMZZ3+f3LyfOB+qQrUu4IuVi1efirn8F8mgMkUhSVPMWocXX/sSb37vq0xO9nnt4x8jTsW4oCxLieMAy6nyic99kcOHt/jDP/4LfvZzn+MDFy+jaMLJMs3OTOdkoCorwmXAkXP3ytSDp5E45deFjXUubKy/p3MiTx6cMdbLabG8uaWIuSw7KIPQEnuSgUAuuNd/+EMGbp//9n/+FKalP/HZNi92+M3/4WP8h3/5N/z1D9/ii5/7qfd0dWTZ5vt+QfQcj8cAtNvtotMnA2273X7CeqVcEstFJgN/oaRXRfc144wWoaqqAFxJqVVrvH7jNm88ekz/C79E6jxlKqyiEC0uc7q4jNE/5lvf+QavvXiFJElxp1OmXkCj22B4coo3c6k5Dm9ev8m7j3bw4xhnsY3quaQPH/Af//Of8PylbV7YusDGygp2kjBxp7gzVxit6eLmjuIY3RAd3yQVFiCZopJmgqG9feGCmLhcEWXUfDYlDiMxty3XoqWZgmEIEXUYRxyfnJDEMfV6A13XivMuZTOVfGOUwSNJU7KS0qG8BstrU64nOYBBfi+zG6AITOX1Vy7NZSYs16qEEQaDgbBTyWEIuQ5lR7ncFZTvV+4Oyq/zQbL82arVavFY0fHLFQEgPN9kxi7vAZlBOo4YLJEqEKfvHcZbPt4nk/xvPzJFIc0UUhQ0XcO0LC6srfLo7jVO+ie8ePU5as0WB4MhmarhNJawrBYbG8+xsbbBN77559y8c4eXXroMmWifSqnGeDwuAoNpmkWZM5/POTkR5LLyCT4frM7/vvxvmVtSxq3KwUeWO+VBC0XXI98FZYYlMz5JQ5AL4g//7E/55X/8Mq3O00c9q6rC5qU2f/LVt3jp6lWSJCnKQ4lFyM6M7/tFGSYD2HA4pF6vF9ldtVbj4YMHNJvNIpCXF2LZliOJ8i6lpiEJiyCkLa7rMuj3MQ2dneMTXn+4w/FP/iyZ/eypsPJIK1WCxWVOf/AD1npdkihiaWWVzNSoViosrK3yb37vq+y4E5qffIHFz32E+tVNapfXqD+/Re3qJv3hiDe//yatep2rV57HqVToLiwQxwlkKaZpU6lUQVFRVHGuBkMxgqtWq2FpGqHns3nlCkQhDx884CQXWXc6LZYWF6nWm2immEC0urmON5sJCVMS8+JLLzKejKk3GmKEeKPBZDLFqVQwDB1N04ljYbei5kHlvLxFXF+16O7KLEfe2DIglbvB5SxMBhRFEQFX8tpkdi2BdhkAZICSgU1y4xTlzCVEZjiKohRUGBlkJBVGvo6u6ziOg+XYhHFIkiaomnAWrdZqeL4vskfbptVsoqLQ7/dzZv5SQTSe5qPU+4NT5p6YltNbWXsqk/zvPEABpCiEcYqmKmiAoyt87MMf5MbNa9y4cxfTrhBqGjde/w6NzjKqUWPqRmQYPH/1Cm+88V1efeXDZHHMfD5D1zRMQyfJJ9XW641cVzbk4GC/SI8XF4VtQ3nnetouVg5E5d0EKKgJsoMlgUeZQsuFMZvNsG27WFwyBQaK58hUWQKg9x8+Yq+/x0/+/JUfef4s2+Dx/SGRB1sb65imyWAwEPiHptGoN0SXRFWxTFPYtUQ5wS4H6WUJOnNdxuMxURjhTl3CIBASDdMiy1Jh8pZ3KtMkH4SqiEm0iiKsdaIgxJ1O6LRaVGtVvvqt73L08Z8grf34jgipUyEjg+NDttfWMCsOhm3hzTz+r3/5rwh7NZZ+7hNY7fp7Ml/NNKisL1LZWuatP/8OrWqVim0JVnMQoGticzEtC01VmM899vf38P2A+czj5o0b9I8OUci4d+sm1669I8TCYYCCcIlN0wwMA8txqDebDIcDbty4gaqKjeBwfx9vJtxIdUPPB9NGqJqGaQoipKbpGKaJop7JrSzLegIakBm7xJ1kEJDfy0Nm4QLDTACxTqWvV71ex3ac4vrLTEvNX7/X62HZdrFxGoYB+QSlRrOBpqn0T08F7msKn7AwH+GlKEqxfuUmLWk85GuizNPTdR136jJzZ4JMrelMJ1OODo9Q1DOLbN/3/z/m3ivIrjy/7/ucfM7NuTO6GxmYgMmzO5sDl0FLcknRXJVk03apXHaVq2w/+Ekv8oOr/CS/2DJlhZJFSluUGJakSO5yyOWG2Z2wMxgMZoBBagDd6Nw353NP9MP//g8uMIPdWZsU91+FAtDh9O1zz//3/4VvwPN9NFXDMIW+uaKKAPeoAPUT60H9uBWjgKJhGTpaHBMTM4gNNtoB609/jkls8Oprr/LcYxf4+Euf5cpr32Rv8x16akzTSHH9oI1pp5hEJp1Oj8X5OVaW5sAfc3x5gYxjEgUu3W6X7qDP4uIiq6urnDx58oHJg3yD5Zptls/W1vJ0mZ2UzArZWZaVADEPDg4SzJPs7cjySppNguiPyWuMRqMk8/PDkHIt/ZHuY2UuTbvdgTDi9s1buMMRx5ZXiMOIyXhMt9VGicGaNl3T6TSNqWbTaDRK2Omy9h92e7TrDUxVZ75SI/YDtFgh9gNMTReI4HQGw7ZBU4XmUhxiWQamqfPU0xc4ceo4rdGIiWUTlB5N8HzUGq2f5NqtDQauS7lYJmeluXT5CpO0SeXTFz4QmB5ediXPwpdf4g+/9S1s20SNQmxdZH62YWIoKrqiYigKq4tL5B2bcjbFiZUlTp1YR9dVfM9NZKiz+SK1xUWWjq2xdvIUqmnSHQ6IiMnlS5SLZSIfliqLrFSWSWtp1ImSILalY7S0VfPaIFMAACAASURBVEqn0ygKyTBDZlGyZyl7fbIssh1HHAZxjG4Y+EEgUBaK8MNTNU1QVKZIfN0wsW2Hiedz+d33eOedyxwcHrFx+w6D8ZggjoUgZLmMnUoxGI3QLYsgjolVYUSRyqQJw4gYhVQ6RblWJVvMM5yMiWPxM1OpFIVCIcnugOQ1m4aBpmiEXoiu6GixRuzH2IZNLp2DACajCaqiUShXyBaKWKk0im6gGibpXB7DcbBSaVA0Mtkc6Uz2ke/5X3sPStzaCIWYSFFQYhVF0QlVA9UyOfX8l7h75TW+9u/+NV/56n/NF0s1vvvyH1Hu95g/+zGGzV2y+TKqXcCxUzRHY5ShRzpbpN0fCKF6RcEwBIPo9OnTXL16NaEESBvvH7dkqizXw6XgrFa6FJ/P5XLJlKTT6SSjf+nKMovk1jQtgRpIwq5hGEzc4CPdR9cNsC1RxkodbXmi7u3tUSgUxLh5MMQP7k9jTNOkVqsxHo+5ffs2tVpNTHzG90X2pLvzbDkhSj2RCSq6hqKK6zmOjaFotOt13rv8Lt957316J8/8xM8FQGzZTBaWuXNvm/X148QqvPbWRSq/8OKPDU5yOXMlUosV3r1+i+OLS0mJKntzcrIq0fhy2pUrFojimNZbbwnJEM9jfm6OmzduECoarW4fwzAolgvEQYShK/iu4D3e290hn83hBh5ziwsctfeQMjhoQhe+NjePpql4fvAA1Wl2+gYPTsdkb0YeqrO/h8zAZEYvM37572effRZd12m326yurib3odFsoGs6w/4Ax7YJAkEqj8OQg4N9cpnsNHGASr5IKpuh3W6ztrTC0dFRktnduHEj6X3J/SBByRI+ITX4ZYYmB0pBEIhMaeYezMKDEh164iTje9T6a8+gPmwpqo4Xxoz8CA+V9ac/x+Kpp/n61/4lmqbxM7/49xh2G9x8/U8oVhbxfY9/86/+T968dAk/1lBMh4kf4IXg+wG9bpder8dcrUaj0Ui86GX28FGWLL9kaSdLPZl1yfJPUZTEGlzeSNd1k00u6/hUKkV6SqqUaxYdrCgKywvz7Gy2GA28H/nawiDi5pVDnnnyQvIAjKeyvo1GA2DaA+lxeHSY9MJkKSndXU+dOiXUC0olUqkU2alawmAwmNpB3bffMnRxohumKSRDFCFu5zgOnuylpVO0Ol388qOpCT9ujStV6t0uk8mE6zdvoaZt7GrhJ7pG9ol1fnDpEvCgkGE47RtK8rPs2Xi+z2A04uDokHyxwMT3yBXy9AdDTpw6jZNKs7i8QjaTIZhM2N7cotVsJnw63TQZexMev/AEqVyGlZWVZGQ+Pz8vdL1Sqemzd7+3OQuEnO3tyPUwjGAWo3Y/iMUfGAql0+kEIiKdomUgK5fK9Ho9oXoQhkIXvNXCcyf0Wh2M6QHXaQnsm+9OIIxQLJthr8/h4SE7Ozs4jkNzeg9mAxXcl4eR/L0wFERgeb+k8kIcxwk2UMpRy3IxiiLi6IPOSw+vv5EApRJJZQcx0VNU0C0UM0WkOwx8hcLJF1h/6tO8/Me/w3jQ4XNf+mUymRzXL36b889/ls/+/K+xs7vLP/+Xv8ml964Qag790ZjxRAi/KVFEvycIjMvLy0lAmUV4wwfVCB5e8hSTTUZZ4sk/8vvkNML3/aRJKje+vM5gMEjUBh7GsQRBQMpxOH18nde/c+dH3r9Lr9+jWi4zX6smUx7TNNGmFJ/FxUVAUBxq1VrSiJev3XGcxKRS2k+HSszc4jyGbZLJ5wiVGFVXsdIOoRIz8UXTMwxCQbC1LHL5PLph0Dg64tatWygItn6s/39PvGPDwA+EacT+wSHGyk9eKqZW5mg3W+QKZVA0DMsm1lTRY7FMLMchiCNU00AxdNLZDIbpUKzUKFXnWD91lsHYY6/ewM5myVer6E6KvXu7vH/5PSbDEZcvvk0QBPQHfYqlIkurx2j2u9S7bfb29hKzi3Q6LZD+ikIckwAtZwctciPLjSo38SwwUk65JAJb4p1kpi85mXD/2YqiiG63S7PZxHYsLMtgb3cb1x3h+xOODg9otRoMhn0uvv0WKcdBQaF5VKfTamHaDrdv3uLalav84M9f5t7mFr12h8XFRVRV5dixYyxMzU1BQG6kyoaESMiDexZA3O/3GU29MOWAaG9v7wEbLDlYelgR5OH1NxKglFhBmUFQiZMkEjSGGFRdI1YNiitnufDxL/Gdl/+Y7Xt3+PyXv8rJ88/ww7/8A25du0yn3cC2U9OpiMh2MpnMVN40IGU7SQNZgtWkG8fDEP5Z/IkMSLJPJKckyet/qJEOJKeIJPfK9FaaFyjTjGNWMlj2tZrNZvJzPvXix7j61gGvfmuDKHzwjYmjmHfe2OZ739zg8y99MhEQa7Va4pSalpSyNJOBeXaymJ3aUUmhO2mXHYQh7U6HIIowLJNUOo2q60m/A1WqQwqdIFVRGA2H+J6XlJitVkuk5MFHK1M/9NnwffLZDLVqFdfzUI2fPNgpioKqa+zt77B/sEepUpKfID0NFlIixPM8SuUyxbkS5UqRyWREo3FAba7MaNTnlVe+S7fbZm9vm617m0SRUCpdmJ8njmNy2RytVovNu3fptjtk0xmeeeYZjo6OkiGKbdt4kwm2bTEeu0m5JjefHOHLUkiWTKlU6gHNKAkRmZ0sy7JevsfSuUUeXMPhEOKIjWvXuPruu+zt7GAbBvvb2/Q6HQhDSrkcjmWyu7vLD994g1K5TDaX4+0f/jDBQBlTYrJt29TrdVKplIBkZDJsbGwkH5N7TFKpdF2nUC7jOM7UB7FDv9+nP90X8vmUv7OkTsnenCwpH7X+ZpDkM8mKEoOKaJZLopUKBIi0N1NZ4cJnvsI7r/xH+uMJz774CYqFHNcuvc7Jk2c4vnqcTNpBjUNWlhZRY1Hjp5wMXiiyhXPnz9OcjjMlgPNhWAE8yDeaxSfJFHoWzClPsVn4gcyqZvsIEluiaVrywI7HY3JTx185nZHk0ZTj8F999e/xB3/2J7z1/e/wxHOL5EsOw77He2/toSsG/+BX/y7ztSqqorC9JXoj/X5faJg7DsVikTAMk6mK4o5F8JiWrKlUiu3t7cRsczgc4gcBYRSRSqcZTzErAIHMOIEwijA0DU3TRcPWjZi4MTs7OxgKZDJp8pk0jfrhg6DMn2Cl6ocsnzs11bpSiSaP1qN+1IrDiCgIMRydSSiC0ntXr1Cr1Vg+tsL29ja5ghhauN6Emxu3QIm4fv06CwsLLC3McfXddygVsqysnOfKlSs89/zzAvyZzfDulSuoqsoLL7yA4zhcv36dY8eOkcvlODo64ubNm2LDOgL+sbOzw/zCYpIdqFNcE5AEJDlAkVNW3/fJTKdbs1QYiUmTmVc6nU4myoYhpEwiYDLt4xSLRaLAw3MHLNaWSTcalKoVGochQehhWTqDQZfhcEQUxZTLZXqDPnPpFJlcNskCe72eCHjuOLEvKxaLDAYD1tfXHwAwl0olEZymWKx2o8H169fRdZ3FxUVhHDvdUzKTymQyiZaY3EOpdBrd0FF4dA/qbyRAyaUgRfwiqXWAGJeqKIrIaEJFxc5Veewzv8aNV/+EcNzjhY99irVqHs2wsEwLXVMI/QnEZmLhZFmpRNWg3WrRarXIZrMJL+5heIFcD/eaZut9uWb/L1Np+X2zPYNZIJs8rWXNLsstuK+SKNHFjuPwlZ/9OUbuhLffvUx7WwTWL3/uZ1ldWU6uP3FdwX2aYp9kj6vX71Mslbh165ZIrR07kbqQHL7B4D7Reha5LPsA8veE+36AuqoDCkHgE8YRYSi0tjVNo9Wok0unefH8aRqXruKun4SP2NhOngfXxTzY4+lf+wpBEHBsZYl3vv1t4o899pGb5AD9u3tUaxX29/dZW1sjmBp+ygatBAMOBgMajYbIqhGj+sD3ef2111haWWFpeRnbtllZWUFRVcaey+BgQKlY4tjKMSzHod5ooKkqtmXRqNfZ3dmh2RSyxLomhhhBEAhDWxRU9UHbs9kMQtf1B2RxgORjsoku/76f8YtpspSQlnZncijT6/Xw3DFROMF2XarVKmEYsrm5iW3b3LhxQ2RC2RRRpNKd9qdG4xGlUhnXHVN2yvQHA1RNI5fLYU9LOsmja7Va9Ho9SqVSwvnLTnug4/E4AQbXarWEZ2haFv4U6jJLaJ4FBsvscPZ+Pbz+RgMUTGXMUaZ2VZH4N2DFEVEY46s6MWBlyzz26V9h440/5a9e/iN+8Rd+nrSjocegKiqmZtDt9FHiGFWziBV1KtYmgIxLS0uEYcjR0VHCFJeBYrYRN8vZkz2iWfzSbBYFD9pWyZs8e8KB0NAZjUYJTCGTySRyGlLTx/d9BoNBYvKZyWTIZrO89NxzieyGnArKfkUwFZR3pvZAMovb39vjcErEnJubo9PvJaWl67qJkYJpmgwGQhCsWq0KwrXrJtCEMIpEAFJVoWhJhGHoRFGIZYipDXFMqVSmUipjGSb5fgfjjYvorQbBT9gsT925xan1NRRVeP2dXF3DiBXGew1SSx/9Wr3LG5yplslnUxxbWWI8cinmSyzMLzGZBFSqNW7duY2uqiwsL7GzvY07GvHYufP0+n36wyFRFLG9eY/93T1Slk19e58Ty0ukUgLwmcnluPjma9imRRCGvP7aD0TAiCPSxTIjP2LcaaJrGqvHVkmlha782BUW7ul0jlRK2L/n80ImRzaTZ9VWNV0X5XUwNV+Ych01XUdBmJrW63WcTJpBv4/vjvEmHu1WE9u0GLsuJ9ZXOTrYpX6wz97egcjiFI04gkw6RzqTptMbkMmmmF9anPLjpsYcpsHI9ynVqngTj7t3blMqlUBR0A2DZqfDweEh2WyWQrHI7u4uxVIRVdfpD/r4Ew/LtllfX0efchI7rRb5fJ6BO8Z27KlWlUEhn8MyDXLFAoHromoavi+C+6PW3whQ84NLyPzGiqAeAGhxKDSkVJ1YFQJluq4xt7RCfW+Ta1evcP7MSRxTwzQNmvUWuWyOKJ7qUakKTipF4PtT08eQK1eu0O12mZub+wBdQKKoZdNxdsT+KMzUbIMcSK4zqzM12yeQ6bL8WjnRkyJzMquSmJJOp0O1Wk2uIZ2UO53ONCPMCIGwab/h8uXLRFFEsVjEsizK5TKNZoNSWUiYtFqtRD5FIoVlpmdNZXVlkA2n6gIygMrfW5apYSBcViRRe3tnl/3DQ7q9DqVclvo7lxgdW4eP2DDXm3WK77zJL372k+SyGYFAVjR0VeXmO1fJnBFZzI9bg819Rte3+bs/+wUURWF+aYn33nkfy7ZRVY1Bf4CmKWTSaSq1Glt379LtdNBVnSiMWTm2SrFQYnt3l3azhWWaBGOPXqvDoNum12nTqB+yu7ONOx7hBZ7QG1eUqXuwSncy4fHzj1MplXjiySfJZjNcu3qVo8YhpUqRaq3K/t4BoNDtdtnY2GB36jKzsLCA4zii/I+FT91oNBLWUFEksFRTgKdt29y6dYudnR2GgwH3NjdRFYXVYyvs7+yiaxoL8/PceP8qnZZocRiagZNOoSgqcRQzHI6wLAE+rbdaRIp4Tb1+H1VT0XSdXq/HUb3OaDzm1MmTDKfMjOvXr3Pzxg1qtRqLi4ui9xUE9AcD0U5xHLJTNQ1NVRn2+0zGLoauo2kqnZ7QHCuXSuzt7iY0so2bN7h48S3W19bo9/pcuXKF1VOn/9MhyX/cUhRAiQkVRfjcAxGqcEhFpTx/nGG3zg/feJ3VlXUGvRGGrgtJDsHCAEWhMxQ3ZGd7O2ncSd+5WfjALJZEajI9PC2Zzapm2eMPQw9ksNBnNqaEGkiW+ixfbpbnJuknsk8mG/6yLJQBpVAoUCqVGI1GDPoDJpMJ3W43saqSsIpUKkUum8P1JgyHQzRNY2FhAc/zkmlRdyq5K4OgvBfJCf7QxEn+XnKCadt20hxdWFwgl8mgRT6T0Rj3/auMF5eJjR9tAGocHVB74/t8/LFznD6xniCiNc0gZdvsbe9Sv71N+vjijwxSw3uHHL38Qz711OOMR0POnTtHu9HADSNq82JCWamWyWSzTPoDrrzzDvXDA2LPY25OwAESPatMmpTtYJkWuUyGXreL7ZigxFPKRoydckBR8YKIbFaI0TmOw7knn8SQJpWjEaPhkJ3te6i6eJ6CMGQ4HJPN5vA8j8XFRQoFoVa6vbvLeDQiX6mweXeDtbVVfG9CbXGB7a1NSqUizUadKApRiOl0ewlU5NzZcwkp/PwTT1AoFrlx/TqN+hHpTGqa2UNETDqTJV8ocPL0Ga7duc2ffusvOWgesHH3Nu+8d5ViqcSFJ54kny8wV62STqVQUMjmBI8xk8lAFLG8tCTccIKA4XBIu9XCtmxy+RxxJEpm3/fpdjq0O50pfCXAtG1UTafZbOH7AY6TwvcDWq02cSwMVrvdHjs7OwRBwPGz5/4aTBP+mlbMtJEeS/lRhTiCSFFRFQNUlfXHP0Vn821+5/d/j698+ZfJTRuKQeQL8wVVw/M9vKHAPWmalmQWUl5V8o6SnzsDnJMfnw1Ms8hy+fWznL2HycDyY3LTy89Lm+tZzptcsukuM6aHcVeyUSoBhv1+n2q1moA+e1M1Qtmcj6IIVOWBUlL2uuTnZeCbJTsn1IgZQvSsvdEsH2w8HlOr1ZhbWsQb9Nnfvcfjx1dxLIv3Xv4TJsfW6B0/TViYER2LY8yDPQp3bmF1Wvx3v/EPuHrpUjIur9ZqHNbbGIbBr//i3+EPv/kyW1/7S7JPniB/bhXNMpLX4h626L97h8HmPp966nEcQ0PXNNrNppCaNdMUigUgRlUV0BSODvaJg4Cs40AUk0mlk8GIYRg02y3STgrbtLB1g9FgyOHBDpZlkM3nGbsuni/oK7qhk80XpgqUKulUCi1W8Nwx/V6PTqeNaRqks1mKpSJOKo3viex0YWGB8XicUKMWlpYYdLvU9/ao1+s0mkIG+c6tWxiGsFjf2dlhdXWVw8NDjo4anD13LpEo6fV6qIrC7tYWo9GIRqNBvlCgWMwRRhGeFzIcjyiVSiiKwjf+6lsctQ/47/+nn2F+QeDNDg46/O7X3qDRbPB3vvSzDHo9xiNJvRE0Hn0qFJjNZoXpZxyTSaWEJZdhsLO7S6/XJfADgqmwoud56I6DF/g0ms37eKxppl6pVLh7927SPxsOh5imyerq6iNjxV+73MpHWzGxEiIQUzIlUiFS0IhQFVCiEDsYsHvzhxiawkvPP0chpWObCmY6w73tHdAN3O6A2nQDy01fqVTo9Xrs7u4+4GQiy59ZBUqZWcnmpGRgyyAiN/OsTIQcBT9MDp7l98kNL7MTmbXI7/c8j0KhkIAwJRLedd1ELaFRr5PLiH6F67qJ9pNUNRiNRozGY/LFQiKzsrW1RaFQwHVdXNcVDP2psoKmaUlGJTPMWSJzHMdJE1dmfTIQywFEv9dm684GmqZTLlcYTVxube/zzrUbBLoOTko4nYyG5DJpPvv8czx74QKObfD+e1dAiVhaWsK0bdqdwXSyaaMpCq1uh298+7vsH9Uxc2kUTSUce+iKwumlBU6uLIpmdHxfOdWdeKycOUMul2PiuqyuHOPK5cu06nXUGIKJSz6TxSmUSGVzTAKfYqmEaYspporCeDSifnBIFE5QVQU/8PCDCNtJo2oamUwWwxQHRBgExIYGfog76HN7YwPiiIX5OU6dP8fGxk3K1SruOKDT6bK8vExmqtP0+muv8eKLLxLHMd/97ndZWzvG3FyV3d09JhOXeqPBpz77WXY2N7FtR7yWSOHWrVsMh0MqJWELlc1k2Nm6x3A4nD43MYEvSvHF5RVKpRKxotHt9flXX/sa/+gf/7LIDmeW6/r8r//46zz32HlKhUKSdU9GEzLZLM7U89H3RUIg7c9000hKUDkckjSvKI7JT40WojDCsZ3koJTej92pQUgmkxFGtLqwo1869Z9QbuXHLwUlFoFJTeAHsfDci8W8L1JUxmqKhdPP8+o3/y3PPP20+HgY44+GZCwLdBtscepLPImmaYkJoZTPlf0fKVGhzTzkwAOZhMRuwIPOMPJrZq2nZ8Xq4L7rhtzwcoIjv1dufBlMHceh3W4nr1tKxmialuBJCrk8lm0zt7jI7Zs3KRQKicJoGIakMxkqtSqO47C9vU0+n09KSylgJmVXfd9PBggyu5TZn3xNMsjKjwMJUK/ZbNCsH6GqqqAuTHsgq2vHef7Jx+mPXKIoJpgGgfm5OVK2QxD4HB0d0ev1WFicS64/mQiPvDgK6HZ7WKrKJx4/x7C/IvBapkk2m0GNo+TgCAJxYkuX5dBvs3P3LhNvgmmYbN68QRQE2IYhTCk1GPtjDM/HcycsLC6gGDp+GKBbJqYuhiQ3b97E0KBWq7K5tUW5WqVSq9FudchOZXxRVNA14b03HnN4cEA2m2V9bY2jw31G/T6NRoPheEyxUMFxnMQjUQFW19a4cfMmxlQVYHV5mcvvvsOzL72E1+8zHg5Rw5B8NstoNGL/6Ih6q0Mqk6VWq1EtV8hms1y/di1Bsi8tLTEc9SiXC+TzeUzTJogiYkXjL773PZ7/2IkPBCcA2zb4+CdOsnu7zcnVNaJIOFeHvniGR6MRuqphOsYDUinZXI5UWmRFiqrS6YkDU8qrmLbAaemqjmWlGI/HZEsVbl+/PnW5LjE3tzCdaqqgxA8IUj68/pYCFKixCjPYKBQB5owVRVifEzPRHEIiVs48zbe/922++uUvoCkxjm5Q7/XI5G1StiOAZjPj//F4nAQQmY3IjAju6zjLAAL3gwzwQAknS7rZz82WhB8GZ5A/S24omeLOIoM1TaPf7yfN9MFgkDTOXdelUqlw9uw5JtNT7Oa1a2QyGQ4ODhLBOmGLJAYEEnMlv1deR4I25f0Zj8dJ6SfRv/J3lSqcMuPb2tml0+uhAOtrq2iKILamUiny+TyqqiWZYj6fx7JTCZBV0e6LnqXTaXRNoZDNcfndS0JX3nHY2txkcXGRVC7D3dt3KBXy+J5PPpelNh0ejCduMsFsNBoPaAxFUUSlUqHVbolsajzCsG2UOCKKA4hjFE0hjAVpu93ucnfzLp/4/OfoNBusHT/O3u4utXKFaq1GNptGIRJuuorGnbtbLC8vky3kiYBr166Ry+XIZjPkqhm80ZDA9zk8POTw4JCjZoOIkCiO8b2YtbV16s0m4bTfVygUKE5JuKZpcmvjJlEU8Oq3vyUcn22b73z7Wwl8ZjweMze3gGbcH3jIsb7vTiiVSvT7fTJZwQ1tt9t0egORKfcH7O7t8eKJtUfuwUo1y/7WmGJJCC0auskkFsTzarWaPBeSOC8P3lajyXA4xLJtyrUKuXw+afgbU5nrer3BZDRJ9kmhWGQ8GlEul5M9KA7m+0q0H7b+1gIUCMS5yJxiiKMpaOp+0IoVBUXXmTv5JJdfvsKdnUOeWF9hPBpTLpQxLQcPkygIGc/gX2T/plQuY9s2URyJBvw0kMwaEXS73WQKJ7lEsk8zS9iUS2ZfD0u0yMxjltApA6DsT8myRFGUBFkuiZeSJiAfQBGs2kRBmPALDw4OBKcumyWTyYjpm6bSmzqGFAoF9vf3qdfrCXFTygHPAkzla5dgzdkmPcB3X3uNt69cIV9OU5wXpgAXv3kZbxxw+tgxTi4vEMdgTtU5NUMEOs8Pp2Wv0My2LYu0I07bfr9P6PkEnk+z3iCXy3P69Gky6TQH+0d89+Ilmn2BXNcNnZRts5DPUMzmqJbLLM1VqVRqeJ6XiK5ls1larSbLS8v0ul2GI4EBS6VTjMdDATw1DBTdpN1pUyyW0RWLdy9dIlbFMKLb6TAcDBgOhwwHPXq9HrlCnnNnz+BOPPKFAqPRiFt37jA/t0Cv1yefL/Da917BMQwIAwxdw3FswjgmUyiTzWXZvrdLq9US06xOh1OnTtHrdRiNxuzs7DIZjdF0gW+SqpSlaoXAD6jX6xQsm1yhSLFUotPuoSni/RoNhxSLRZYXFlEUhf39fY6ODlGUiLm5OexUho07tykWy9SqNXa2W4/cfzvbbarTPeI4DqOhi2bEU59DkRGFsThcbcvCNC3i6TNbKBSoNxrs7Oyg7u8L4vpoRBiLloilm9TKwi692WyyvDiPoUIwdWpynAw7OzswDeiPWn9rASpS4hkDKwnnnK5YoKUsQgxUFAzOPv4xvvPK66wvrDPotFlbEUL6lmPiy05WFDMeuaCqDEYjKrUyrU4LLdYEjyyKHphShWFIu90ml8slvCAJCZB9KtlHkoFmNnOalXaRWdYsp0/2cOT3z0IZ5PXk9G0WyClleXVdZ//wKPna+fl54L7fGQj0t5PL4Lc7QvHAD/BjSE0lX5xMhiAM8d1JkumYmp7AIo6OjgRZNIrxAp+v/eHXMfIKP/cPP0axdl8GI45j6jtt3vzGNQ4vN/iVn/kS3sQXx4kiDAIGoyHuZEzesnBMoeTYHw4wTYNrN66TsRzUGNQoxkBjb/+Qr/3pNzloNDhcOEH3zBOYwx6LB7fwum3sosow8Ni4s0fze21Ora/x0tPPUsznxRS33+f42XME7pCd3W2hma6qjMZjVFXH0Ka9xVghVy7hBqKMee6ll7hz4xo3rr3PwuICo9GQdMqm026yMFdlYXGR7a0t8sUi/W6Pfn9AyrIJJhNMXeXwoIFp2JxYXyPyXJrNOnEUMvR9XD+gtbNLKmVTLOfxfZ9q7QRKHPHWD18XBgKDEdlMFk3XGY8m2KkIRTN4/IkLbGzcxsnlUBXhXJxyHOIgwrQMDF1FVyCfSbN/eMCrb71Jb9DHMi0eP3uaYhDheS7lYolKpcxL2Sz/929/jS9+6XGKpcwD+6/THnLxzTv8t7/xXxArOt3+EFXVhZ74VF9N04XZ7mAwIDdtLbgj4S488T0s2+LY6jHiOKbT7SbZd7lcZm11lWG7zWQyoZhZwe132dvbFYTmchnLsrl94zoqMSPXZe2Jpz40TvwtVlSCywAAIABJREFUNck/2oqDGEMFJQ7RgxHvv/FNzp05w9m1FSqFPJ3GEXbaxnYEZB5Fw/ciJv4ETVOZX6ixde8uumqga0ZSzkl1glZLmD9KmMBs5jML6Jy1/fmw9TCGahamMPuxWaqNbLIDSX9IkkEzmQyu6+JYNgf7+w9oOxWLRYbTU3R3d5dULguWjudOMBUNS9PZurvJwsICsQKdfo+l5WUCd/IAC166zUj32yAI+P2Xv4mWj/nEV55EeYQtVxiEvPxbP2TOqfDp55+jUCwyGAs6g2HdnyQqkYZm6MQK6LpGr9tm0O7SOjxA13Vu7x7y2o2b3D39PN3aCqgqlZ0brG69ywtfOsfqY4toxn0AnzuccOvNLW6+scnPf/aznFxfFxQcXUeJA9yxC4jpYxiJ0l7XdFKpNEEYMn9sFU03KOTz1A+PuHv3DqoSc+rESdJpm2ajITJXyRdTdFLZDJpmMBiO8AOffKEgbJasNCfXV0kbOnc3bnLv7h3R2zJNAhRUTccdDXCcqfLqcMje7i6ZlGhwqwg2QSaXZ//gAMu2yeXztHsdMTELRf+wXKmwdWeTteUV4dZi23SaTf79H/0R9/b3+PgnTjK3kONgv8vrP7jN6ePH+dJnPgWQsAYuvnuFNy+/wy/9yjM8ceEYAO9dvscff/1tLpx/gheeeiqREPI8L1HVlEOY2T0h/fc8d4Iz5eyVy+VETUM2zofDId7EJeM4+EFAPp8jnUrfz7imB7bnjnEcEzSVT//Sf/bT1CT/aEsxxCmiqzqRonPyyRd44/t/zpnTJ5gQEhsamm2iWDpRDHEUYacc3NZIqAm6E/yRixu7WJYzbSKKHsnOzk4CjAMRRJqdDhN3gm2ZlKdj2lki5yxPT/a4ZLY0y9ubbZbLvx8mRMrPSRttwzASKoucpEmIgZywDIdDWq0W5XKZra0tgfmyLfYah4RBiOGkkzJ3MpngehNy+Vwy2pdqC/Jnyd9nNBrR6fXZPzrk13/jC48MTgCarvHZrz7D7/2Tv+L5J56gNM0S8/k83b7wTavV5nCHYhrUk26+hQJKEBFNXC5evcbrt+9x/fmfw3fEyZ47usfqvff48n/zCTLFD4r62WmLJz57mtJSnm/8wXf4ajbL8vJyQrDN5GE4GgpcT62WkFKl9Vdk6HR6XdrdDt1Ol5deegkzk8LvdHnrjddRAMO2GI7H5At5ShVxKPiBTy6fY29/n729PSzL4vRj5+g16mQXF9je2hJ9FN9HRcWwbSEGZzlEQcTEd4n8iFq5hq5qDAdDDE3n3uY2TjqVqB/Ypsn5U2fo9vto0w28t79PKZdH1TT29/eJoohvv/oqQ6/HP/pffgnbvq/A+bkvnuef/R9/xcV33+eFpy8QBBGGYfHchQvkMjm+/fIlfutffw9QWFma5zMvfoJiLpt490k6zX2tJuj1egLj1O2SSqVoNpvi2dQNojBMjHSBRI9KYuY8PyBwVCJFo9Ud0BuOcd0J6WyefCE/fc5HRKFLo9V85PP2Ux2gYmLhj4aCpqgYmSK6YbB7eIg2XxMjSgXBygfCiWhKLy0tE4cB9aN92vUGdiZHLldIRqH9fj8BSR7V67x7/TrvXbtGOmujaQrd9oilhXmefuxxTq6vJyfKw81yIGFpzwahWckXGQRmJ36zpZ9EsstmtWyOqqrK/OIC3W6XQqXMxHXJlwTOqNXpYDo2ru+RtoUygT/xSKfTHB0eJcx5bUYpQKobzMp9SP0oy7K4ePVVzjx/LNFS+lHLSVusnJ3jxuYmCwsCGNtsNrGnNkLtVgtvEhIpMf3BgFTKodfr0Wg06LY7vHnzNjde+PkkOBHHrN69zKd/5cKHBqfZtXRqjhPPrPD+xgaFXI5cLsfQddE0nVQ2R6lUJIpirKlAmmEYeFGEamisrK2KrDhWGA+GdNotwrFLynYY9foUFxco6kIpwDBNYgVajRZWKsVjF57EnQ5fbt68yZOPnePme++JTM3QiWOEuJ+TIkIhmExQFQgNkziK6HW7WJZNFAic2/zcPGgKfhBQKZXpd7tsb26xt7eH6dhYpgUIhcyNjQ0xrvc8rt+5y//wP3/pgeAE4Dgmv/73X+Rf/NPv8OKzz2DqgvTteT7PPf0Up08cR1FUoV4RRTQajQd6r/1+n36/j+M4dDqd5Pm1LOsBMvHCwgL+xCM3nRDLDEvqlctn3DAthiM3wdNNJhMKxSIT1xWtiDhm49Z1lharjPxHmyb8VAco4ngafCJAo3FwD1A4dfosgdtHn2F+y7LKdV2iwGc4GNDrNFE1FVW7b/tjGAaaabKxscFhvcG3Xv0+555Z4j//Hz9Jfmpk4HsB1y/v8ed//h0a7TYvPffcA0DO2endbBCaxVbNBjDZTH+YYBzHcSKcL6EIEjU+NzcHinDH0TRN9CumKpHlSoUwDOn1euRNg4X8Av1ul3w6S6/VZmFhgSiK6PS6rB5fpzkVsJPAUJmNSWKtqqps7+/x6c9+eB/gw9bqY/Nsv3kkHD26naSPpygKuqFjGQ4pJyU4ZQoMBz0KhQLfe/Mi9aWTeOn7agipbh1HCVg4/tH4eKdeWOPP/q/v8pkXX5zK4JjopigvDutNyuUyxUKJ0XBIjEqEijnFn7WaTbbvboHnEwYe5WwOQ9dZXlkhmGbHjuOgqApRHFGslKlUa4wnbgJaPH3qFAoKShwTx+D7Hr7voaoaURxPJXxN8fyqTFkDOcGty2SJwhBN1XADl3yqiKKpqLrO0dFRUoan8wVSqRSLx1a4evUqg8GAbn9AJmszN5//0PuytFzEsg26vQGOJd5X23ZQFJUgCBkOewyHw6QKkNNvebieOHEigX/Ifqx83iVf1HEc4jBiPFUpsKZN/mhGL01KE6UzGs1GE8PQyeTytLtdrGlrpdfrUT88ZH/nDuh/i2Th/79LFWJFhFHI3StvceaJZxmPXWLXI5cVjq6EoTiZvIAwjFEMnVQ6Tb6QJQg8VM1A1w0ajQbZbJaDgwNGozF/+er3+cKvPMaZJxcf+JmGqfPE88dYO13ld/7pa5QKBc6cOPFAM3wWbf7wkhnV7NfO+obJGlyqZIJgjheLRQ4ODhJUuAKMx2MqlUoCQZB9AInn6vf7VNMplOn0UPbOJhMxhu50OjQaDTJT0Nz8/LzQEOI+3UcaABjWR38cDFNwuO7evYtmipIxiKagV1UjCuDw6BAUBdu2psHR5/buHvUXfuGBa+Ubu5x8cvFHlpazK513KM3lOWw0p8BXH0UR993MpIgCj3cuvkkURaytrTHo9VitHMfzfVbmF6lmC3Tbba5fu8rY8wg0lYym4IchumZh2hb+tKHu+QGKKig/qmGgqSqGr3C0fY/D3X3iMES3DAajEanAw0nZeF5A6AcYqiZBNKiWha6qGABRjGkYFGyD/qBHea5Gq9Xi6eefo1Gvs7q6yubtO+RyOXa2t5PhhhdGaD82w4259v41Tp88ycLCApubmxQKBZrNJqomzD3lMCafzyciehIIbFlWcpDJDErK+R4cHAhsoW6Qmk7LDcPg3uZmYhbq+75wEtq8S+D5mJZJpbjAxs1rdDpdqtUquzs7aLqGosQMBwPK1UcfTD/VAUrQM6cgyFhB1Q12bl/n2fOnKGQyxOEQTdEhFhufKMbQDIIoYjweMZevMuqN0QIFx0lx6uxZbrz/PsvLy7x95QprpysfCE6zK5t3+MKvPsYP/vSHnD5+XLyOGfKxzIIeLv8ezqDk9z2sOSW5bjKzk/2ASqUigoznESsw8YVKZzqbIZVK0e/3kyyq0W4RhCHpdJrvfevbBO6Ec2fOChjDcIjri/6VrglZj3v37j1gLCozvFTKYdRzyZU+mqnDqO9iGaJPtriyLHppYTAFswboioFjO6QywkggCi3efPNtxrkyXupBkXwz9HDSP5rP9/AyHYPNrU3KhTwxMboi0OhRFBIFMReeeDzxDKwUixzc20GZbu6r712h3mrR6bbJZ/NMJmOqzQa6qZPJZDi2usr8wiJOLid883yh8bV3e4N2q83wsIc/GVIuCLDoxPOIdQU39HHHQ3TTREcnnmbEhBIkrEEUE6sxkaaiaArzy4vcubdJsSA0vtzA5+Lbb3Pm9Glu3bqF7Th4nlCRrZZLdNpD2q0hxQ95nxr1Pv3emNMnT2LbNpcvX07MZMMoRNONpBTTNI1MNoudyxGORolxg+e6zM/Pc3R0RBzHSWZcr9cplUoiA4vuGz9cunTpAfdtECXe8sIC42GPcmGZuxu3GPZ6GCq0G0dUSgXy+RyDXpf5coH9w4NHvs8/3QFK0PSEw4VqcOHzX2W0f51/+9v/D2dOn+bnP/0xFEWHWAUUVCVC1YVCZDqboTUY4kUaiu8RT3WwZXn1yuuv8fN//8kf+xrWT9f4q69fZf/wiPla9YHG9+yfWbDmLL9vdskGpK7rQiVU9s7CgCAKpyN7aHc7zM3Nc3R4iDsaM+wP0DWNw8ND5mo18pks/sTj8PCQiJh2sykaqwrohsGdWzcxLZtytUKsQCqTxtSMZLIj9ank6zYMg3PHT7Lx9g7za+WP9N7cemubcysnOHP2rLAWr1QYjKd68JGCput4vi8At94ERYno9vv0M8UPXMtXDSbuTyZc57kBS+cWpwRy2Tcy0FQNy7HZP9in1xtQrVYJoojA82l3Onz/rbe4cfcuYamMm84S9kbo3gRn4x1qlRIvPnEex8mwv7dP68pViOHY+jpKHFPMZmjs76FHHqZlMOh3WFico1gqMvImFOfm8ad9nnF/hO97aCigT6eRKhhT6pVpGBi2yXjsYhkWm5ubuMMRuqZjp9Ns7+8zv7zM5tYWTiaDF4ZYjsNzTz3FH/7eRX7jH37ygWwqCEK+/rsXefbJJ5mvCbzY+uoqjWYTXVNFWakJMT3TtonjiK3NTcJIUI9azSb37t0jjiNWVlbY29sjn8sl8iulUglVUQmn+Lo4jnn9tVfJZLJk0ily+TwpJ8XR0eF0T4ToGly79h66brCwMI9lieFUr9ei221RLpcS1dhHrZ/qABUrCc6cWAUlUqgeO82xxTmuXnqD3/w3X+Pzn/kcZ0+cAiKiOESJQ1AFtiqMQDUdeq0OoWkkDcFOt0u322fh2I8X61dUhcW1Es12m6WF+QfEt2Tm9GHl3myJl1xr+nW+70MQoJv3yb2GaeJ5QozMsm08XzQuNUXBdyd4cYxtmGiKSuB5jMZjRv0+1fk5xqMh9cMjUpZFdyDY5kQh7miIbpn4vkfkhw8oMch0XE78Hjt1itf/w9s88zNnSGUf/cAANPY6dOp9Vp6dJ5vPodUP8UI/yVAUVcU0TFzPw7EdLNsiCD0mgY+vfvCR65UW2HjvTZ78zOkPBPUPW+5gQmu/w9qXl8llcxwcHpIvFEml0njeBNOysJ00+UKJVFrADF5//U3+7JXv0V89Qf9zP0f4sNVRFFHf2+bgzXd4+9ot/stf/Qq2YTJxXbZvb4hyezQE30eNAsIopFQpUJmvYFo2rd0OsR8S+j5+GOJNXIjjRMXAD0OCMMAwxL1XdY3A88mkMtx4732CIGBtZY3btzdQYoXTZ8/gBQG2k2J5ZQWIURWVr5w7z2/+y3/BP/nfvsFnvnCW2lyOw4Mur3z7JoVMiY9feBoljmkcHWGYJkvz84zGY4hj/CjEStlMAo9uWyDPK+UKw+GQza0tUo5DKmWzu7uDEkOzXhea66kUhCHdfifpS4msTvSlcrksuqaiKDGKIjB+nW6bMPCIiTFMnWqtyvb2Nr1+l3RaELcLxQJHRwdY+qOft78VuZWPvuJEDjRWBKHY8yaoqkZtfpGlxXle+f4rbO3usri8iqaqmIZOFAZEcSjsmKIQJYpoNZuMRiMee+wxNE3ju6++zse/eOojbYhbVw5YLK9QzOcegBRI6MHDioCzJd8sEVnCEKSK4mg8esAdZjwek5qO/4MgoFou408EcNSxbaIpXmpnewff85ifn8dJObx98SKaoqKiMD83LzhdU2Sv5dioiihx5dhdCuxJ/z5VVdE1DS8IePP7V1h7bB7d/PCzq9cc8he//Sbnj63zyZc+Loil2Qybt+8I4nEUoSkaGhqaruIHAYPhgDt3b2M7KS4fNulVlh64pudkKG1dZ2E5R7rw4Y7Ls+v9V28zn5ljfWWFfKGArojJYb/X59jqGmEQkElnBDg3jrl05Sq/9+cvc/CpLzBaPU5sWh+8qKIQ5Ar0V9cZHh1x7Y3X+eJnPk0+k0bXVCxTx/c8er0u2VSaQj5HpVZhOBpw69Yt+uMRqqpTq86RzWRZWFoC3xfN+ckEy7Y4OjxkbW1dYIIODhkNh7SbTQhCsqkU5WKR4WDAsWPH6HQ6HNWPuPDUhUTGpFat8v1XXqGSL5B1cty4ccA7Fzdp7LucWzvNuXXRhrh58yZRFNGo1xkMBuxsbxMRk8nnWFhaJJVO0+t0ma/N4Xsee3t7PHb+PCcfP8+7b/2QWrnMsaUltu9t4Y5HjPp9Wo0GjfoR83M16nXRy71x40ZiZOu6Lnfv3k3wVKZuYNuibI+iiK2traS1INU+JOne932On3/yp0cP6qOtGDXmvhyLohCjEaOiGgaRZoJm8dRTL9Dvd/mLv/gGim5Sq1aJAo8o8EkbKorvksvl0XXBRev1emxtbbG5u83SepFs/kdbd8dRzPf+9DrPPP4k2UwmYfwDydheQgjkkkHIMIykXzXbeJTcPEPXmavN4dgOpiHsnogh8H2qtTmuvf8+jaN6gkLPTH++/Nv3fTRFZXl1haXFRQ72D0in0nieL8ToLItup4OiKmi68YCsilROmEwmiSbV6soyg8GYV775NhCTr2bRp2DJUd/lyg/u8NofX+HTzz9PdYqvajSaBJ7H3t4+uWyOlG0ztW/FMA2iOELTdY6fOE6r2eLWtescLp3ioRuGpxn033iXE08uPjI4AjR22rzxx5f50qc/Q61WxfN94fCSzhAFIbc3bmFNhxRhELK9v88//63f5vAzXyTIf7C8/MBSFNy5ReJWkxtvvoERBfQ6HYr5PO2pu3McRkx8j4PDA/qDPpquM5l4pHN5cvkCQRBy68pV7m7cpn50xNHhIc16g9FgQLvZZPfeNo1Gncjz2d26R+B5uMMRpVyB7a17gm6TzVLI5fGmkAfHcXjn0jukUikqlQrrx47x+JmznFk/wYXzj7E0P08ul6PTESaxhUKBUrksBO7WVqnOzVGpVWk0GwQTj/29fRbm5xNXJG8y4d033yT2JwTjMY3DQzRdxbFN/IlLHIdkM2mO6ofomkaz3UmMOubm5jh++jSe69Jut9E0jeFwgOOk6HS6ZLM5CoUinU4Px0mhGybFQgnLshmNR1QqVebXTvx0B6hZfpsYx0eoiDJPgakip4Kq6kSRghepBKqBO/FIFyosrp7k1vX3uHjpbVZWjpFKOahhgKnGTIIIRdWS/ovjOBDDnbvbnHpi4Ue+rs2bdfZv93npuecSjetCoZBw6GS5BzwAZZgVtdM0LXGbkc1FRRU615qqks/nabVaHOzv02w06PZ6REHAsD9gfn4+GftKe6nd3V10XadWqwnJDdOk1+3hTQPN4088TrlaYTKlt0RBgJPKoBt6wruTVBpZsoo+gMLq8jJL8wtsXt/j+9+4xK2L21z9wV2ufP82y8VlfvlLX2KpWuXw8BBN06hWKhTyBdrNFkocU8oXONjdp1wpM56MCcMARVUJ/IByqcQbb/yQVq5CYD+YKbnZEtHE4+B7lylWM2QKqQey28APuX1pm+///ts8cfYsTz52nsFwwMHBPoQRURxjWEL6o9VuJ5vnt/7D77KztIq7dOyjP4yKwrg2j/buJVbnq5w9fYqtu3cZT0f0UQRBFGBaJkEcEkQRqCrDocu97V0azSbDdoeUkyKfy7G0uMjc3By5XJ58Lkcun6eQz6PEoMQxGgIGs3tvW/gRphzRUzT0qYmqSrfbxbFtId1sWVhTI804jmFaQsYKpLIZYRhhmRimgZ1yUDUBfwjDkMODAzbvbhJP9dL6UxXMa++/z/H1NY72diD0sSyDMAqoVSuEYQAK+KGP7wf4QYRhiH7m/Py8cLWZqtouLS0JdyPHZm5+nkKxhG6YaLpBOpOhWpsTEz/TRDcM0pksqqZRXVn76RGs+7Alb/asyFuUeFfFqHFMpETEQKgAisC3TNQYJVJQjCxnXvgZunsb/Ps/+Dq/9OVfZK2WR41CojjCn9oDFQoCsPn5YpH//Z/9Jjfe3XvkJG/QdfnLP7jC5z/+qWQKVyqVqFardDqdBBciyzS52WVAEdrPEe12m8FgwPLycmKGaJsWjmnhui7DXp+0ZbPREq4tpXweJYrRNY1er0e1WkVRlORnStXM8XiMqii8//77DIdDzj/xOJPJhM7U8qdQKHDm1Gm+9a1vMb98LEELS7liCWSUrjN+KBxhl+bnWZybY+y6jEZjNF1jrlZjfm4OVVPp97o491IMBgO2t7c5dfIklVJJbLAoplTIY5gqRSdHfygIpNlslvpRnafPnqG+c5M7+Q/64e0fv8A4lWP8H69gx++xenYOy9YZ9Cbcu7aPmylixwqf/+QnBbbNtlhYXsYbjtE1Hd008cOAYqVMo9tm4nnsHR4yvPDCT/w8xrrO8Ng6t3f2yZg6EJNK2wKhrtmo8dSnSFHIZLK4vo+imvhBTESMadugKgRRSHMKDzl15vR9lL8veIqxojCcjLFNi6eefYbReEy5VhGKHJrGnZ17BFGYNJLl3pDEb03TBJ1Iu69xFsX3/R1nQcC+65LNZDF18X5bukE2m+Xu3buYusGdm7fIp3N0Oh1SKY0oDJh4AaaTQiMWmXClRuCHlEoVAWYFDNNkb3ub1dVVAcgsFIg1jU6z+f+S915PmmTnmd/vpM/8vC1fXe1nusdjYIklSIIgrDYkcaVdiWsYK4UUoQtF6Gov9VcopN0rrULSaqUgqaW4XNAESTBAEGZcT/eYNlXVXd583qXP1MXJzK4GBuAsFIoAiIyYmJnqquqq78s85z3v+zy/h1q9zkqpxN27d7l9+za9Xg/bcbIgi5Qw9AuE0UddPzMLVF6J5IC53JcmL/nCK2maHfWefjRMEkzNhCQmCD1aq1f5lGPzb/6f3+c3v/F11psV/ChEqHJxsSyLyWRCuVzmv/7H/4T/8V/+z5zsj3jlc1vUGs8KNb/zRw/45EuvcvvmzSLjLk9KyQMxL6rML1phAEajEa4rI6GaTZnddrF5fhFvchGIl1MG8myyXImbj3Nz3Uq73ebRw4cYuo7ZaOA4DqZlYRsmge9j6Dq7u7tYliyl80UpCKTqPBeO5hllKM8m3JQygqKqqtiWVaS45GhjsnFzDgPM/Vu1Wg0h8s8LSYDj42MMTee5K1f4/rv/hnL/iFnrRzeG0fJlRktbOONzHg/OUeKIWK8yee1lrtz/Pq+//LJkY8cR1ZoULNbLEj9r2RaJkL2Nme9y784dvKVVEvMnN/1/3DW5epPtP/8mNzdWCMIAOwrl8TGR7LIojmm2mqyur2OXyvhBzOnpAMdxePLwEZubm5QqFeI4wvU8Tk9PiwSe4VCGziopaIZBo9XELjn0hwNGkwmlUonpXFIWWp021WoVbyEtUJ7roomnjgSgQCVfPIlomZau6JEKgW1Z6DkSO5Xvi+d63Lp1i+2H94niCMuysWwHu1JB1XVIE6aTCTdvXcE2bWynDElKmCGP8+nwcDhkNBrJJKIwxPN8ojSlUm8U+Y79/gBNUxkMhqyuriCEgv4TkNE/U2ZhIQTlchlN05hOp4SRjAoCqYnKl6b0Qt5oCqAqZLwCtMjHjD0WgyPe/O5f8B9++TdYX11GZA9eTi3IJ3qPtre5v7vDzv4+5YqNogqmY5dmrcqtazd5/dVXaLfbheAt7//0er2C5ZQvphcXq3yHy6sV0zSZTqdFLI+mKAR+wNLSElEUMR6Pmc1mRRM+V3uXSiX6/T6eJ7lIKysrRdSRBNeZjPp9KjXJzJ64c5aXlphNZ2gIPrz7HpZpIrIQxjzI4YcBdXInlurpizqv/OcxDCNLqdE5Ozvlg/ffR6Tg2DbXr1yFNOX9e++RkrJ5aQOzYjN3PfwwRDctKuUai9kCkSocHh/zr7/573j4wueZtX7yERtAxDHX7n2bzcTlP/36V6nUqszmc5rdtrSK1KVvMk5TKrWaXPDThP/t//g/+aNZwPzGrZ/6nlz53f+diqNjWRqTic9qu86ty9doN6sousq1G1dRNY39g2M0w2IydanWaly9tEUQhASey8J1qVSrWUW6YDKdECUJz9+8yenxCbqQ98l8MqVcqeCUS0zmM5I0ZeG5BUMpDmXvMApD6pVq1uuZE2YSlfy6yDJ7ZhHjaaxV6PkFqVVTVExdZzAYsLrUxfc9ustLeL7PbLFgNJvSXuqQgLTsqDpqRgdZLBb4vs90OkXTNLlJmiaWZfN4/4CNjY1sA5vje9KfKd0TEWtra+iaimlZdC5f+9k3C6eZTy6/nv2JlSy26tk/EakKUY5qEaToJCJFa23y8ue+yO/98Z/wjS9/leuX1tAUBX8+Ze7N0Q0NRVFZWWryqU+9xmQ0YjKdkSI4PjjEseWoP3Bn7O2OGA+HbK6v8Whnh9lshuM4hT0lf9NzbrRIwTGtZ4zDgeuhIvBdj+lkQqlawamUEYbGeDxiNp+zvLLKfDyWTKQUquUyjw8P5Dk/CGi3JV+n2qiTpimDwQAhZLSSpsl+RXO5Q7/Xl1obTS8WVEWFdqvBdDql1++ztrmJikrgB1TKZaIwQogULVGIo4yvnqV+5B7GKI5JIri/vYMhNEQSoyUwnU0o16usbK6yff8hJycnrFuXaDdbHJ+eY+smCkIefUyVq9cv898s/2P++f/yv3KytMXZ+o0fEW8CkCTUzvdZ373LVsnmy5/7Jc5PTqnWaly6dEmSHFQVVTdw/YDdhw94udVGpAmB6xGks17DAAAgAElEQVQmkKr/325x1dD4b//Z36Fas5nPfL737Sf8xV+8zd/7+te4du0KhqEzGAxx7DKz2YKtzU2WV9cY9nq88YMfUK9L0mW5XMb3PJa6XbYuXWJ/f5/xYMj52RnNWp3TLNpJ1TWGwyHD4RDdksk9w16fNE3l5jSSfC/f9+llBIZyuYxpW3LiLZBK/kRylgxNwzBNFrM5JcfBtmxOT04kRdW2sEryqL52ZYtZ6PPw8IDZeMIsjNjd3aVer1OtVnnw3gNAEjUs00BkGOlKpSLZY0JBJCm6ojKfTtnf38cplZhPx2iqSu/sVEpoDI3rV6+iGwbD4ZBGs8npyQk/Tkv+M9Mk/3jXU3ZUfuVczouQO0VRSBUFTbdYXl3jL//smzSbbRqZlL/s2CRJjKIqrCwvM5lNCpaSO5shSKmUy1QrFQb9PsPhkLXVVeIk4XD/kPWNjSJBxvO8AolbygyqafyURJhXIEAR9aRpGtVGHUVVSeOEyWQiq7LTM0xdx10sWMwWIARzzy2c+a7r4mchnnnSrF2yUYUAVSGMIybTKWZGQphNpgz6fUrlEoap43kuum5QKpeZLxaAQNcMaUexLUzdIIljOalKU9JM06JpEpuSCnADWQWYQiFyPYIgYO4tUAydlZUldh89wratwoxt6CaKqjKbzalUqyyvrVKpVVla6vKpT79OdPCY9K3vUB2eQhhgLiY4kz6N0ydcee+v2Jz1+dJLt3h+Y40oSTFsi62rV0kRhHEEimCxkEhdU9exbYvIDzB0nQf3H/Bw5hK0uz/d7ZamVN5/l9/46k1UVcEwNC5fa9Fo2fzBv/0Br7z4Ar4X4Loeg/4AXdXoNJsQRfT6fRqNBpVKRfrX0hTTMOj3epyfnUGaogmF69euFdXp4eFhRipVaLfb8jgZJ9SrNarlCrPpVGYbZveDrutF1L1siKXFE6KqKopQ0DV5zHNsBzuTlfQHA0zLpD8cAhLvc97ryXtmNmN1fQ3DNGg0m9iOgyIEJduhXqthGiamoTPLDPc5ITYXb0qLlrTI1Bt1qpUKQgga9TpbW1vUqlX6/T7j8ZjT0xO54NkWtc7yz3aT/Ke/chLnhapKKKhCEKcqdrXDr3/p6/zhn/wB2le/zpWNNcIglp+jyYgggSCOpNHRMEzCMEJRVBynxHQ6Q9cN0hQO9g9I05Tj42O63W7RS8r1RIV5ODvqXZxC5RqoXJKgaRpRHMsIJMdhOpnIr1EUqYwOnmJWc671xay9nESg6zqKTBhE1VRKRokkijFNiyCWN4zjOBj206NoHvIQRRGGLnVRmqaRXEinUdSMFp8dFQxdR9U0DM3i+eeeZ3RwzMFkikAanofDIe1GrVis4zjB0A2EKqsvQ5dKdrLvlwKVSpl/+k/+IWfHJ/zO7/wuiuFz3j+ibNuYBqy8eIvnrl9jZW2Vw8MjBpMJumkQpzFc6NdF4QLHtNAVlcjz0VQVVQi2Vlep3X/IjNs/1Z1l9M4p1x1049lgyZdeXeUv/3SX7cd7bK6sEMcJQihYts2DBw/pdrtYts1isShkKfnRp9lsEsfSOkMq3QU5Yhmg25W+vPz4lTPqcw3RRYJAvvFdnH7L+188E7OW6+7O9k8plUp4rstsPiNMYiqVisRNZ4SLzc3NYtIMshUgkpTQfyrQFCk0m82CXpD3Rg3DKPx8qq6DoOgnDwYDjo6OnnFidNoduq0OfvRz0CT/qS8RZh0pOdVLUYgSiFMwjBJxHDKPDD75mV/l3/y7f8uXv/gbbC610YSKmqqMhmOpfYl9FEUjytKP5wsXTTdYW9+QMHjDoFKrc3J2Tr/f5/RUlqwrKysMBgPSNC0a54aqFW9E3g/IY8lzNrhhWkRxRBiERa9HN3Rsx8FxHM5OTomyyWMe/nDp0iVGo1ERiBAEAZqqMp/Jnoaqa1iOzdtvvsVnP/tZ+guXl195hbfefJPnbz+f9cQkpD4VShEWGYYy1CAOAkrZg4QQWeKtXLQsx5afL8Apl5md9mSDPInpLi+jOTb9jKs9Hk9Ihcr65gYCWQXajuSKh2GYVY4xw955NkHSuHZpAyVJ+epnPok7nzIej2Q/0jbYPz7gtHfO9Vu3qdaqQEq1Vs1ijWxKqko8n2Pq0od5/733WF1eoWYaKIMe6nRMXPloAsBPuhqP7/OFL3x0JNIrr6+w/fgx9bJkKr388ssMBwOWV9eo1xt897t/za1bt+j3+0Wq9DxLNJ5nQtpuqy2RP2dnuK7LzZs3eeutt4pQjOvXrxfceM00cedz5rPZMyZz0zSljCNNMmuYkBtuEkttnWkwm89RsvbJYDBgMBhw+eoV9g4P6Pf7tNttrly9WmBVqtUqS90uw+GQWq0GsbQKffjhh3KRbbXwfI/AD2QStYBarUYSxzzZ38NxHDzfp9/vy49nQyA78xXmvc/T01MOs01/5eZHbyI//wsUmWGvMBbL0AVESpykKELDKDdJNJ1f+fLf44//6Hf46pe+wnqnSZQoqKqBQoob+rINr6g41RrLy8sF2dK0LBbzOQkxzz33XLHQ7O3t4Xke4/G4gMwrilR0J9mOmE8mx+MxnufRyKZtqq6RIrEv0+mUNIoL4ed8NqM36LOyusrzV58vNFSLxUI+4BfwLa7rMp1MsTL42XA84vOf/zxHR0e0anXuf/ghaZJycnJCqVwiSZAsH9PCsm0818d1XVmNZFOfIAhISNEzrU0+Bl4sFqSKQBWC8WiULbQGJyen1Dotzk+PaVVqmZQhklA8FLwwKISqo9EYxJh2u832/QcM+gM0TSH0feqVMnt7j7l+/Sq9QY/zXo9IBc/3M+qnz6DXY3V1ldjzSPyQe2+8jT+dsLKywng0Yv/JHqZh8OTD+xiGwZWlJebbDxi88sl/r7tKcRcYJ0d84lNf/Mg/Ny2NuTsnTqWk4N7771NxSlQrNYaDIdevX2dvbw/f94sEmmq1Wvx/uVxmOpI8/E6nw2w2Y2dnByEEr37iE2iqiqJpnJ+c0F1e5nB/n92dnYKZf/ny5aLaNQ2DuecWVVRu/E1IWWRT5Mc7O4gkxdANrl+/jqprXLlypaiwcg5UTtQ8PTtjMZ9jOQ73773HclfGmq2urjIaD1ksFmxtbTGdTqlmU+b5YkG90WBpaYm//uu/ptVqSUa84xRDndwqI4SgXCpjZhX8j7t+pqZ4P82lpiEye0EhFiqJtGfKWipNESSoiiBJQkyR0tt5hzRY8Fv/8W+ikuDNRqikoGr4UUQQRpimie9LkWO+2zmOQ7VWZbGYc3x8XHy8XC4X+Xb5ZJAkwbGdYrIRZsGGAI1GgyRJODmR6NvFYlEsbL7v0+12EULgOA5BFOIHQYEo9n2/QKVEUVRIMkxNJSYlSmLibCcNwxBT0VBTuH//PtV6BaEo1Gp1UgSqbqCoKou5i1OWUgKShCCLo1Ky46+a3bypAFXTSBVB4Hk8vvchwWyGaZqESsIiCnj5xducHcgyvlKt4wY+puVQazaI4hQ/DKk2ZLbfqN8ncF1ms2kmtIxJ4pBmrcZiMS96YKEAK/s9P/XpzzDsDdh5tIOuGaiKtLjomkKYBV4oQsH3PBzbwXddXD/gj+68y/Ern/zYYk0RRax8+4/5lU+0+crXb37k5/zuv7pLt/E8v/bLX8D3fERWGTXbbc5PTzg5OqRWlziTcrlcTGYrlQpRFPHkyROIJdIlbxFomsbe3l5x7Do/Py90TDlosNlsFotIv98njmPsSpnxeAxQhIHkMMTcPTEaDIiDEE3VeOmll7j/8AFXb1xnMpHE0/FELvI5saDRaPDB++/Le/XwiPXVNZaXlzk5OcH1XaIoLJr1o8yKk08MkyQhzWi19XqdPK5tkaW69Hq9rIdmYNpS7nL7M5/5yCne34xP/Jm/VEhViuqJPBcmJREpKSkRgkQx8KOEpY0b3H/wPoPhCNfziaMEUlCEQFU1TNtC0zUM08BybCpVqXQdjkZsb2+zt7fHYDBgaWmpiFnPd4ZcV5TPfC/C6UAuKnnKrKZpRYMzCIIihLFSq1Jt1NEMHTernC4y0vNKJF8MkziWZb14Ns/Otm1KpRJOdmQMsyOB45SKZuZFnVUQBMTPBEQ8jYNP07Tod3iey3Q6JQjlThhlxzzDkA32KxmWxvN9fD8oXod8mHBwcMCTJ0+kiDWKsE3ZdBVZJeAH/jM+R0PTWF9fZ+vSJcb9PkkY4pgGse8zHY4IPS/ra6XouoaqCTRVQREpcRxRr5b4L/6Dr9F587s4T3b+xrtJ+D6db/0xS3bKl7924yM/Zz7zufvOMS+++CJhGDIaj9Bti1a3i2GadFdWWVtbQ1GUYmHJnQBm9p7nJNM8vTnngy0WC7a3t+n1ely+fJl6vU673S7SpUulEoPBgCdPnrC/vy/fI8C0THTTICGLfzKMrEqXEe61ep1KtUq70ylizoQQHB0d4ftSclDLdGVmZpEaj8dEUcTGxoZsO5ydFb2xnG2fv79A0b7wfZ9SuYxlWcUmKu89B9uWMXGO46DpOlGaSFHrj3u6f76meD96KalAkKFMhexByXy9FJHGCBKiVCVK5I2rqwrRbEgYhLTrDUhCDE2TWirdQNVU4kwaoOu6FLsJUSByNU2lVCrRasmU11y3tbu7y97eHoeHhyx1us9kt128QXOCpq5qjEcjptMZQhHMZjOuXbuGklVco/G42HnyCV7edJ1OpwSB1FDFUUSaJLiei6bpCEWgZRA6b77Ad12GwyHLq8uYppmRNGPCKCZOEqIwolQu4XkecSiFiCLTQ+UWCc/zCMKQhbsgCEMubW7SrtVR0lQ2g32XzvIShwf7XL12nSSKGQwGrK2v0e8PGE8nOCWZLtNoNlnqdjk6PMRQBO5CVqKVSolr165nY+0Kjm0TxSGKpnDj2g05kVI1GrU6vZMzfNeX6A8hEPpTamng+9kxyKdcLkl+URqz0qpwfvce9t5jIlUlqlThgslbm4xofHCX1tvf47Ub1zk+OKbddeguPSt/mM98/uW/eJPnbtzihVu3ePTwkQxDTVPOT89wFwt8z+X05JgUORAYj8esrq6yWCx4dP8+e3t7JHFCt9MhiiJGoxGj0ajI+TNNk06nw86OhNblmrjcSpXfSysrUkMmVAnGu9gUz6sny7JoZOk0aZLQbDR47733WLgLzvs9Dg8PZQrL1hZBVq3v7OywWCw4OzuTJ4kgZJz9jKqqYjsWTqWMUy5hOw7NdotqrSZjvkxJfC3bTpFOdJGJFsdxkdnolMpcvnaNlc11hKr97ZziJSI3FIMgRiXJQFKAkOZiTUmAlCRVWISSVz0c9RAiRFNh5LkknsA0dAzTKAIw8wmWpmmkiaDZqOMHAb1eT0aT93pSLe0HbKysydjxUoU4juUukuFb84Upv8HSNCWIfaI0wLR1GRNdtpm6C4xYnsmjZELZNIgD6R80TBMjS00ZDIcyicMpcbS3z9r6Knp2XPSy3TAMAmZhSLPRYG1zg7PzHiAK0V8eta4iGA8GUg6hqaRKhiVGhlCoqoqZfa6maQhVJQoTDs5OgYh6s8rp4JjTvT1KpQpPth9zftbDXSzQVZ2F72GXHBIRU7ItwsWCOI5YX16i3ztjq3udVqtNpd5AAaIw4M73vsN4NESkCa995rPcv/cBk8kYkeNtFIWYmKsv3GAwkEbhwWDA2toaw9GI8WhEZ3mJRqNB7/yc6XRGo1Lj6598iYkfc2d3m947byDKJYSmI4IAJQz5O5/9DL/2j/4BtqFz1h/wP/yLf863/mSXl19fwTRV9p9MuPPWIb/8uc/yja98hSAIuLK1Tr1eJ0kSmo0qZ6cnzKZj0ihgOBnRbLepVMugwsnZMbVqhTQMaNTreK5HGIWFF7LT6bBYSMJFr9crekNCiKI1kG9w8/m8CNcwNRUjM8M7liRd5pNVrazyzltvM5/O6GSb6uuvvMob3/0+/sRltdqiatj0jk4YZojoK5cvs7e3R7Pe4Oz0FC0VbG1uMh6N0TQVwzZQNI0kjDLMjcNkMsFQtSIEZDKZUqlU8YOIUslEUzSCcEEYJSyvrJGmKRtXLuPUqyzmcxz9o6uon/sFKv2Rk+sPt80EaSKZ32Ei03R3HnzAb//Wf45h6BAH6IaJUFU0Vabw5kekvEGcNyPzY1muRclHqmkUc7h/QCVDoOY3Tr7A5R7Di4EJ8vgkewa6ptMbSotEkqRMZ1OSVNIIth8+xCpLhIWV2Ng8BeINBpKm6WU2io2NDSzL4v79+8xmM27dusXx8TFXr17l0fYunU6HyURqvvJyXEoN5Lg+IS2y5Z5WjPIW8X0fz/eJkxSnknDr5Zc5fHSfw/19qelRVSbjMZomp0aVcpnBYMjS0hIp8tjgeR6mqqOpBoHr0el00AyL0XiMZZcwdJ2zwyPiKAZZF/POG2/h+Z6UXkRekaoshMB2HGzX5eTkBM/zimlq3kgejUb4vs/W1hatdov5Ys54OuP111/DjxJQNFTdwrIdKtUKFcdC0VXefestbr/wAv/Vb/823/ve9+kdyIVhbfUm//0/+4cYmlJEwI/HY0ZZsvFgIEMyLcsiyD1p2b3z5PFjyqUS+/v7qAhqlSrDUQ/DMosj9p07d1hbWyt8dDdu3CAIAiaTCUII+v0+mqZx+fJlKpUKuq5Tq9VYuAuJwU5THMvC8wPeffst5vM5n/+VX8GdL9i6dAlNl22DH9y5Q8m06VarzN0FfuDz8OFDPvf5X6K1voY/naIJhce7u6yurmJo8p4uOQ71RoPT3inBYsHGxgZpmjIcyqb5YDDAtm0cx8l6ZZVC0DydTimVSliWxWg04sqVK5wdHTF/vM14NOJzX/zKRz7fP/cL1Me5hCJtHKSCs4MdTNuh1ZZYFkPXQej4QUAUBkXPJ5cH5FaVi4nAFxee2WyGiiDIBJRxHFM25BtTVEsZQQAovg/o6IaK5/p4rky6kNO+CUEYFseGPAooiqQoMT8yaprG9vY2m6trzGYzrCynLA/4zKPUG40Gi8WCy5cvM5lMCu+ck0kMgGKqovC0l5X/7Pk4O1+gNV0lTRIGp6fM5rNikdM0vdD5aJpGr9fjuH/Opz71KQbjEd7CxbKs4jXSFXkMVTQXp1Sh3+/jLxZMBv2sSZ6QpuAFnqzs0rTo2Tm2jVMqcfedd1BUVfK/M9FirVZjNBqxtiYr2i987Wu8+93vYldLxKScD/pUopgXX34FoagcnpzSbNb4q+98B1NT2NpcJ/AWoMClzXWuXL7E4+1tptMZqqrw7ttvoQgpwl1bWyugf2maoCmC69evE4UhH/SHJHFMApiZaLdSqXDr1i16p2ey4mo2UXWtYHMtLy8TZI4BRVE4OjoqhiFxHLO+vs7ausQrDwcDRqMR9+/fJ01itrYuUa3WePD++5RKDrHvUbFttt+7h6kK0jgiVRSJjAGOe2fcuHqNWrlFrV7nBdNkZ3eXD+7fp2TbHB4estxdIoliVNOSHkDP4+TslERIFHC5XObBgwfMZjMqlUoxrZMp1w18Xz5PSZIU6cnz+RzTNHn48CGqCoNh7+fDLPz/6yUk10koCqeP3+fa8y9lmApQhEoQJ3ieL2mcWfhjfhzLPXV58zk/6wNPK6xsMWu1WrLy0rUiyjyXGVzMt89FdEH2MUVRqNfrhNnCFEYS1B/7Ges5+x75pShyamXnYkAhPVG59SBHqfR6vSIlNrfngDQ65wrg/GdKkoQwjp4xM19EAucf1zUNu1Khf3pCGIQFgD///Ol0KuPkFQnlr9frnPV7mElKEsVFinGUSE9kqVyWQZeZN0zVVJIkRQiFJA5Q9KeO+c3LlyGOCXwfy3aYjMakGe9bybA1nU6HwWBQvAazfp8wDOid90lI8QKfpq6zu7tNu7vE8dEhs9mU6WTE+s2buAsXy7Q43H1cxH8dHh7K6Wz2OxLLROXemUx99jOZxmg0Yj6d5lMaTk5OuHz1KpVKmcFQLgxelk+4ubbOaDJDqEohlB0MBlSr1eIIl4t7F4sFy6urdDsdyvU6b3//+0ynU5JE4nlFmmJbMl3F0HVOjo5xLFsubrpBqAV0l7ooisZbb72FH4VUazXaS128wGc6m2KXHFYsE9/zuH//Pk62MZbL5WIDNDOTum2bxaadPyu2bTMeSxtOq9VCCAXP8wtaRr7R+75f/I5RFGAZBrXKR9ic8kf3511m8HEuoSgEUUgSx9z5/f+J/+y//O9YLSuosY9GwsKLWCzmCJFgZiNdoCi18wUm96SpqqwiIMNfJCm+68ly2DQZjUeSs5NpXvI49VxOIJvuGoNhD10zME0Lu1zCD7JKxLIQimBw3mNvd5erN28URzDbtlGQjdd6tcadN99C1WXq60svvcRoNHrGDuE4TqZWpljAcklEPr3JH4QwihCqIvPXHm3z9ocfygchTrBsi+evXuX1l1+m0Wqx3GnjL6acHhyw/2SXOE5IU0Gz1WHqLlheW+XSpUsQJxwdHdHr9YoKIVc2B6FHu7vMfCFz7aajEdPhAHc2lr5AReABpXKZSqmcNaA9dE0jjmIWM9k4JkuDyZOX8+o1j1gqlcvsnRzJqWylysb6Jme9c0QKe3sHbF25TKlUJo1C9p48lmQGIdA0PZvAZonF2WTT0tWiws43mCAM0VRpfA18H0UYxALW1tdZWl1mb3+fMAxxZwtswyDyA+xShVanzWg0Ik9ZyfE8+cboeR4vvvgiVrVKGgRsP3rEcZY23Wg2mc1mjAY9KiWH3vk5S0tLTCYTTNMsFrzpdIrQNITQKNWqOI5DpVLl+PiIbrdbTFUH5z1E+vQ+yZvxedNdy7DZYegXToRcMlAul7NIczPDWFt4njzmzudznjx5wsbGxjOTwFqtgqnJ9+3257/4kTKDX4gFClUlzKZde9//QyZn+2ysrfP8tatc29ogTjXCMMDU5QTsYu8pf3Py6UmQPdBp3keCLPJKlqlBEHDe66EbejG5CcOwSFzNY3zC0Ge+mNJqtjEMkyCOiBPQdUOactMES5ORPvVWE0VVqdSqNFstHnzwIVEUceXGDe6/fQcUKeIECqxLnCW9WJaVJROXimroYgM2b+I7joMX+Hz7zTf5q+//AH2lg/bcZbRmTVZzC4/w4R7+gydcvrTJP/0Hf5/Z4JzDvT0m4yGGYaJpBgiVrWtXSXSFtbV1jh/vMej3Odo/4Nq1axi21PyEUYRuqMxdH90w2di4xJ2338abTohDF0VILVtq21y9fg1VKJSdEieHh1RLFY4OD1lMZ9K+oypU67ViBO/7PuVyucj+K5fLrGxssnFpk/Pzc9lv+dznuHvnDqZpsli4nJ2dsbWxyWg0RAg5Kk+SGEWRR/KL0EBFpMWovlqtout6MVldWVnJmNxTFN1gbWMD1/fwQ8ln91yXWkkiki9dvkpCWrCecuX1/v4+vu/zwgsv0Fxb42h7myRJikSe/H3LVeaGoSIUZLM+jrMYsaAIyJS2FYGhW6CqWGUHN5t2TiYTqqWyVIu7Plo2DJnNZsVE2bIspnP5u54P+jiWKemv2ZU/Ixe1UKqqEUWyl5uHfuZyk1xSc+XKFeazkWxBvPLJX+AFStMIowhNM0j8BSsOnD18kye72/QHfW5ev8EXf/kLmLrIwhafIip0XS8a3K7rQuaBSjJ7ihCCNIoheRqRPp3PCrPwbDYrHO1570geGQOEkmIYJlEYs/A9Gs02i4VLnMRouo6awv6TJziVMpVqFVXXqNXr9M/OaTQakCQ8/OA+pi2rvpOTE5rNJt1utzjvy92ywngsG8ue5xFFEc1mszga5ZOXb377r3h0fkLp1z+DWvno+Kk0inF/cA+xd8JvfeMrTAcDyiWbNIX53OXmc7fw4ohyp8liOuXem++gaxpqAtdv3qA/HEpjsmOjawpBlKAbJq7rsftoG0tTSUKPOA4xNJXWpkw79l2PNE44OTzE0g2iMMLMKhzV1Kk3JM43//3G4zGVzKg6nU65cvU65/2etHY0mnz6lz7DyeERvu9xsL9PtytZ22EUZhNY6SJQVYUgCLEsk0qliqoq6JmMIz9i5w9x7o9LkoTl1Q38KGZ1bY0wiXm0s02/1ydNElY6XSI/oNHqoJtPvZW5JmqQBa12Oh16vR5HR0cSYCcEr776KvB0UCIXwwHlmuTM93o92RMDmhmXqd/vs7a8jqGbTOcL7JpEungZj6xWqjDuD+gdHhP6AaPhkHK1Il9TIRCqgm4YxGnCbD4nCUPKJac4fvq+X2CDnuKGZNsk547nlq0kSVhZXS3oDq7vcnR0xGe/9JW/rULNv/mKo4gkq4aSBGZeSHftCp/+zOf5u1/5Gme9Hu++/x6KohVNYsMwCiGdkhl4ozh55vvmJX6aSqOuoqkoqkKpVCq+tpQB337Y3CljshTCQILw8smTpmnomo7neVLUuZijZyr0wJcxRo7jsL+/n+mHKnjugtW1NaIo4tLmJrOsD5R/v3wymXPNi16ZqhYV3XfefptHZyeUv/GFH7s4AQhNxfnsy3B1jd/7s2/RWVpiZXWVMIpptto45Qqj0YiFO6fX68mvEQIlQ9NMppL2mSZy7wuCgMD36J2fo+kaumlQqpSp1urYpTKWZXJ6esp575zhYCB36ozplW8iaQr1eiOjSajFlE9RVOZzF8uSQadmlorjOA57j/dwFwue7D4hDAKajQaz2RRd00mTlCQ7YimqfE8bjSara6usrK4WQtlut1sIdiuVKiDw/YDZbE4Yhjx69IidnR12dnY4Pz9nsZizubEpgX6q9ELmmXf1ep3ZbCbDT1WJ+w2isEg2KlcrVKpVjk6OCeMIz/cZDIccn5wQJTEIhTCK0XQDzw+JohihaNkiKyPOwswZoOkaatZDmk4mJHHI2ekJjVaDMAwoVys4pRKKpkqhsqaSkHJ+fs50MiFO5VR8sVhIbEsmIM2b3XmlmQ9WctmOnaUQ54t5FEf0+gOqtR+frvQL0STXUjKnu4vQHRPZphoAACAASURBVCYC5koJTQmx4jmf+sKX+dM/+L/Y3NqiXatklgAFI3tjgigizEbsGjLb/uKCgyGd/0mSgKaiIsfq+fTl4uQN5AObkEokjKaRiEyFnhl3839UVcUulWjU64UeZjQcspMxqWbTKaaq8OLNG0x6Z5QMnQ/uvku5UqPqyEVS1UwcpwyqwnA4RNE1hKIQJpKCqQcSVPaDd+9S/Y++iKJ/vFvC+sRtZr//F8wSOH18SBzBizdfoFSp8GKjwWzWY2fYI1VSLMekXmuyCHziKMWxy4g0JfBcLE2qvjvNKnSaqKpGDg0RpChxQLtSo9/vk6RJMbbOBX+2bVOttwijlPFkwcINSNGoVCuYlgVCbjBhLFhZu8RwPOfo+JTTsx5JHHL16lUe72xzdHiMEErRt+osddEMg/FkTLdWlfKFapmdnR2c7H0bj8cMR2MMw6RUqSJUHT+IMctV+qMhlYpNEocM+32eu36N9Y1LIAT37z+k1GiCoOjHJUmCH4WyER2FeHGEEoegqjz/wm2Ojo4wTZPLly/z4MGDH6mCe2cD+v0+5XKFJA6xTIez0z5CgW53Fc1yCJKEkm5SrZRQVBURBJxOJnx/+yGnJ0c4ToUoSXn1tdclQTaM2Hv0kK2tLSzT5NL6htxMLZNSucxw8lCyxisV3CBkPJuz2WzJmPbxGCEE8/kcy7JYzaaPi4VEQM8nYw4ODmi1WnS7Px6H83OvJP84l0qMkkptjXTDpCjIHpKaje5Xux2+/e1vcePWC+iaLqHxGSojCiNAUCo7qD+EUSnsLRcuBVHk0xuGUeB18+osCAL8wC+qq/zrc5SGrsso8VKpRKfTKd5YIQTNdpsw0yrdunWLJIrwFnPay8ucnZwym88lKSGKcMol6vUmJ6cnLFz3mSlfXrUpisIHDx9xFHmYt69+7NdUCEGsCB799RustttsXb7Mhw/uc/nGNVBAqPDhvfdkEKVloevy77p67RqlcpkoCvE9FyHA9wMZt4UgTSHOFMdRHBF6EinbbrVptdoIBKOhVNmvra1jGibtdrfgxeeQwE6nI2Phu11GwyHVWh1VVanVayiawubGJksryxiWxWw64eT4mGa7SRCFtNptWfVm1Inzo2P8hcve9g7ebM58PmO2WMjU3zhGN02e7O9x7bnnmGVHvij0swq6TL1Wk3o13yeMIkqlMqPRiFajkU1T5WtarlZYuNLntryygmNZVMtlhqMR5WqFZrOJ57qsrq5Qq9WyTdDAsUzCxQLL0FleWYZE2kfqjQa6ZeGHEUtrazi2k0HkJmw/eMDdu+9yeCAjzGrVGghBvdFkqbtEtVJm0O+zsbFOv9eT+qfjY4meDkP29veLKa9t2xK3024zGAzo9XqS9BmGdLtd1tbWCmT1dDplPp8XtFjTNBmNRnTW1v92Ksk/zqUQIzJXHqkgEYIkBYRKrCrEKTRWr1F+vMN3v/cGX/r1LxGGMpEkzRabXHWt6nqh5s3fIHgKs0/TFC0LsMxH+fl/5xMO3/dRda1Ie0mSpJg85cfB/A11XTdD7Urh5LDfx3Vd1tfXpXK9UuLoyQGnZ6ccHB6zsbGBosnx/WwuqwXHcWh22sX0JI5j6vU6/b4kNb59/0O0Vz7ad/aTLuvKBoPvvMPK6hpBFLBxeYMoCVCA3sEhcRBSLlWoVCqYhoWqa3iBNDw/3t2hVrFZXl5G101p2UmlEz9Ns9cTAZr0l42nM6azGWEQSKOzpjGbL9jcvISuG9x5911IUyzLRtV1huMRdrlEfzjAC3yG4xErzgq6YfCJX/ol7r3xBrPZhKtbl2UCMynnvR7tbpcoSTg4OKBarjAZTyjbDrHnosWgqSoLIkqVMqZj0xuPUQyd5bU1DNtibXMDVVE4OzpEyyQEhmlgmBbjqfS/BUFIu92mUinj+17hOBiNx1iOTb3aIg0CSi35761Ll5hPpwwHfYaDIVEcMxwMqNVrNJstDh5vEy5mKKrGydEelXqLWrvDYDhA0Q06y6tMJ1MWkwneYsGTx48ZT8Y0Gw2uvHSVu+++w9VrN1jb3CSOIwb9PsdHB7Rbbc5OT9ja3OTRw4fYtk25XGIymxfG9os46LxPlvf+qtVqYVbOqR+58Tk3SKdpSrv9owEaT5/dX5hLilMET/tIqqYSpQLFsFiEKc9/4pe5f/89Hu3uEqaCOMnCGrKSPiUtjmzwdFHKz9z5P3n/SlYOeoFFycMGcvNwvhjlBl3f9wshZT7xK5fLLBYLSbHMKAuWZfHkyRNWVlbYvH6D09PToh8lVKUQkM7nc5rNJtVq9RndinxIgqKHMJvN0RrVf+9XVGgqRrXMZDop+k1KCpHv8f6994rj2MVxfJIm6IbsM8lJmVTUR1nPJ1+Y0nyhUuTPmlMV/CCg3WnLoYNpEoQBxycnUm9jGERxxHwxx8hMqoqiMJ3NANlA73Q6bH/wAVEUoesG4/G4wJxUM7xtbgeaTCYSmavLvpSKbBXUGw1sx+Hg8BDX9xCKQqfbZTKZyMiqwCuyE13XZTKeMBqPODo6YtDvI4RgaWkJ3/cZj8f0+335d+m61AnVaswXC/zJlN7pGY8fPWL30SPOz84Z9PsM+n18z8NzPR7v7pJGEaoiMDRJ8ojjgP29PUbDEe1Om1KpTK3RYGVlBdMwJF5H07l69Rrj8YTr12+wfuUKgeuiKgoHB5IlnqvYfU9Wg/PFguOjI06PT7Asq7Do5PewpmlFiGfeksjv+/F4XPRlNU0r9FX5qeHHXb8QFVSaMSdz2oFAZoklSYpAwY9TolQlEDY3Xv81/vAPfo//5O//Iyq2gYaQ4+44JEkhip8qzIt4rEwTU6/Xs6ZvUCwIURRhGEZxVMulC7k+Kn9Tc5nAxSNj3ofKgxZysaeiKHJkb5p864//iHqzget7mI5NnKboQhIrG80mnaVldnZ3qStPF9u8WltfX2cymUgigvLT7VWKqqFpOq1mi+mwz/5j2Hn4kBdv3+bevXvoqrwB/TCQiSaaRnd5hUq1zHvvvJndnNnCdGGOI4QgThJEgkwRSVMQKktLKxiGlU3OHKbTufz+Gbyv3W6TpCmnpzJgstVq8dJLLxELGVP11jtv0+20OD45QVFShsMBlmOjmQYr2XEwzESZUqAKfuDjB75soCuCZr3OcDTi+eef5+j4hEq9LnnjKyscHR6haiqarhUTxDAMcX2fVCg82t4G5MKpKjCbjLImu1TBizTm29/6c6IgJAxCRCrv3DyhJcoSePL7KfJclpY79HuneL6HaZdIkwRFJDi2iTudyeoVAzVNuf/+Pa5sbbK+cUk2tzPx7od33+fs7BTT0Nja2qR/foZpGDx/87rsjfoeR0eHmIZBgmxf5M6AfJF5/Pgxq6urRcxatVotNu21tbUCyyLZXk/prb/wSvJYqD+MMkfJlOR59yhSdGIhsDtbNFcu8+d//id8/Wt/F11R0ZUUkUTycwVEiMJsmwsC82rJdd1il8iroUI5ntEEpSpZPpB5WZyPjb2Mx1RkmWVvXk42yI2ZOb7XNC0cq4xhmri+7CvV6k08z2cym6Jo0u6S7845l2o2mzHJMMOGaZLMXdTST05Z/uErTVPC+RxBQrfZ5PF4RKfZYFytIFLZWzIzCUNnZbUYOMRJDKrUGj158oSlpWVMyyZJ8ugupXhNFFVDrtcKlmVj2yXiOELTBWGUFIGQSlaN5oyt9fV1jJzMkEjbzMJ1Wd/cZDwasLl1CUWkqIokksZRxGwywbYs+v1+QYVM0wTDtFCxKVUqrKysEIUhaip7bJ3uEq16g+ODI+7deZf1tQ1WVpY52Nnl2rVrTMey57JULmE7kgvlenIBjEKXIPAQqcTY7O5sk0axnFIKBU2RTgfZNpWi4ZJTQhUQBwEKKZah0+sPiFOFMBGUTZPxZMKVa9dotVpoloNhCAZnJ2ikLLfb2IbB4PyMk/OeZI/ZJXqDgfTO2TonR4fSeO66dDodjg6PcEwThRRd0ylXa4UAM1eF5wtSHMeFDSZ3PyiKwuPHjzEMg+Xl5eK+y0F+P+n6hWiSJ+gkSJgdkAHtZIyVyGqrVNFJ0FBUlWazw96Hb5Ki0G01IPbRFQjCAKFqCEUtZAFBEBQapzAMZbSUbhQ0hLyPlD8ocRxLg7Ahjxf5ESg/Kl6MxcpHxBe/VlGUIsgz5zLVa7JH5ZRkrNRsvsC0TOySg2FYcvye9bVyPYrneUWjfDye0Ov30Tf/5gioi1d40kM7POfTL7/I+3fvcuvGDbzpjKO9A+azuQyQjBLskkO9VidOE2ynhOXY7O5uE2blf46s0bJFWfKtZEWnapr0USoCoSgkpERJQgLopiFpp96iYLmruoZdcojThIQURZPiWkWVlowgCKjWq3ieR6Us5RRapvMxTVNOe8MIhKDd6bBxaRPFNKg06miWiVUu4Y7G7O/t0W62MXSdwHVZX9tAJDKWfjgY4HkLHFsq1/P2QK8/yATAEuZ2dLiP7Vg83t2V0gVVpdtpoyJw53Np48kM6u12m3arJe8VIAxltuGVy5dZeD5+GKEoGglCRjqtrmKaBgoxd++8TeR5aIrA9z22H+0ghMJwIHMbq9Uane4SKyvLrCy1EQLOzk7ZuiSrLJEmmJaJt1hQrdZ47vlb9AaSqJGjr3N2OlD48vr9Pr1ej/Pzc0zTpNvt4vt+YVbv9/vFv1c2L/0iN8lls/spzg4S8eyRJkwFsVAgCdE1nec/+Su88Zd/yObla6w3GxCOMFUQukoitMK6ksc6LRaLQpEdpQl2ucR8PEFBJmIkkZzOBVGIYugsXCmkzEmZOQ42F+vlyBagsK7kULNc6S6EoNXq4PsetmYQpylBELO8vFrgNrqXlzg+OaVcb6JbJaIkwdQ1/EVAydJxTJ3Pvf4a9/7Vv8b61IsfW2YAELy3zfMrq7SrTYwtlfPeSOpyIkjdAFN3ePUTr3FwfCQNyiWHyXhIFPgc7x1gRKAKnfnExXFqRDEIVTKtAAxVIOIQRTytduM0zXpPEW4YMfcDiGOqlUpRnWqaga7L3TuKYlRVR6QQhyGKEISLANuwSRMpuBWKCWnMIvJJBSjlElXLpNFoYpkmmCa2bfPo0SP6w8doi5BKuYHnBvTOh6iqxrAvG8HHB0cypdn1mAyGlGybwbBHq92m1akzdz0MS+Wwd8DN2zfpn51x+/YtVldWePJoR054fQ/DMZl7LhqyfTAYDIo2gKIoNBpS9/XBBx/ghb4MtDAM0jRGAR58+GG2+cjej6u69Htj4jSlXGswmc65cuUK9UYDRZd9Ntdd8Nabd5mMx7z0ysu8//4HmRg1IAFC1aC7tk6vP8RQNIb9IZuraxkaWpGcsTDEUDRmkymHR0esr68X6S9+hhzKdWyddhtD1fD0+U94dn9BLpE7OD/GlQKlaosrz7/Gn37z9/HDKCNSppnJ8VlfXT6JywVpYRRlu3XWMwJm0ylpIl3gYQbxWl5efqaXlYsPc35z/j3zvytvwOeEAcuyMjOyRRDJXs5Fu0Eecy6EjGhKBbgLNwOjtbLJZoJtmVzaWMf93rs/Ipn4cVdwcEp0dMbm8jLTyYQnT55wcnrOwvMl8E/In9cqlYrqLwpDTN1A1zQcyy5y+QI/wMiOAynp0987lg10VVFRFZU0TYhCadRVNRWRHfvKpXJhls6nQ/B0uCGEQFMUVCF58fmVDzzS7OxuZK59wzLlzyPAC/zCLF6tVtnY2CCKEkzTIkXKEGzHKVDMrueRpAnLy8sMBgMm0yklp8RisZCbiyYwbRMhIE7kfaJrGv1+n1EWkT6dSwtP3vT3gwChKBndVVZ7iibbFmEUFr45ubj5xdQ3h8UlSUIcJQhVwTRtptMZN27eZHV1lVqjge957O3t8fDhAzzXpVwuSelBrSYN4qZBkqTUG02a7Q6rm5tUKxUaGeq6XJLpR6SZwFUI/MBneXm5OPZdNN+XSiXZdJ/P6ff69Hv9H3uf/UIc8T7OlQgVEKjEaGmEQkK53qJ39Bh3seDK+iqaJohThSQVha9NzWwPeVWjKIrsiSgK66urqIqKnjm+4ySRqNxMnZ4bdqdZxlhOFcinIrlKN8em5jtoHgmUI4QrlUqRxpGjO/KoI9n3Sml2lqhWqyRhyGI+Q4gMpxLHOKUyrVqdD9++SzCdo611n9F6/fDlH5zg/tkP+MT167SbTUbDIZ//1V/l/OwUwzCwLBtI2bx0iTRJqNSq3Lt3T/588zn1ao2VlRWUGFCkKDJRZLafqqqFTBPS7EFOSBJQNA0zO0oIQFHl58RRRClr/LuuW+TQ5Qujpmlomafuohwk71nlmjXdlGJaQ5e/QxLJRTIKJULEcyWJQIQJtXqdbpZ8kqNU8g0BAY5j02w2ODk5YTqZ0FleolKtMJ3NcCyblaVlqtUa8+mMd958m+FoRBrF9PsDKtUqjlOiVKnQqNVRFYX1jXXyQIRWu4WmaRwcHNBut5nPF4UUpl6vFxW97/sFw7xSr9NoNLl1+zadTove+Tl3795h2O/x6MEDhv0+lmFyfnbKjRvX6XYl0VPVVDRFQyiCV199DYTg0YcfcnJ8TLlcLmxVmqaxu7NTBECEcchkMqFWrTCZjEmThFq1QhgG+J5LGEgjse9KfPD6tWsfecT7xfDifYwrRiMRKloaoqc+SppAmuDPx7z7rf+b3/zGV7m62iVMshD2C+iU3NKSV0HzxYJ6rQZRwvajR8ynUzqdDn4cUa3XCMKQVtZPGA6HxREv71vl9hrXdanX6wXz3HVdGo0GcQapy/tVpmlydnZW4FTySV8uddB0g1CotJtNzo4O2H30gE++/gq983PG0xl2qUIUp0Rxwu9+85sMfQ/99lWsaxuITP2epinh8TnBe9tEx+f88muv8dLN52jU6+w82ubTn/8lgsDnw0cPKTsl2ksd7rzxBicnJwUfXcnG8efn55iGwWwwodFu0Wy3UU2DWKRSpZ8tTyqCRCSFrENVNXxfkiG0bEdOEkmgyH1guWk1N6fmr+dFjExeqV60YsipYVRkuV38sxx/kut6xifnRVN4MBhQq9XwM19bTiNI4hChyr8rBSzHptlpo2b3iutJ0ujdd+5QtTPBbiizFTvdLtPZlMOTE8qOQ+DL5B3Lsope58WgzHwYsFgsJEcMCkJCkiR0u116gyFRkmUfKQpxIBnkkipQ44Xbt+n1zqj9v+y9WYxk6Xmm95z9RJzYIzIyI/fM2pfeqWaTTbK5tChKokbrwJbHHgEDjI0BfGPfeLmyfWEYsC8GsDGwPfbYkjCSKFFcJEqUSJHqZjfZ3eyuvWvNfYuIjCVjX87ui/9EdDVVxUUjX9X8QKMKXZWBqDgnvvP/3/e+z5u0ODw8YDi2p5RSzTDx3IB0Lkuj3qBWrWGPxui6HhnfRYFuNpsUi0UcxyGXz6HFxBFzgh6ePDwSiQSe51E5qrC2vIqu62TX1p5gs/BPsSaZemroIhPpMiQZ3xlTef97rC8UefGpc4BMGDI9ck20Nslkclo0bMchYVnUK1XGozGpqAncHQzIzeQZRQECE3B+r9ebPsUn0oOHi58fjZZjsdh0shdGMLvJUXDCK1JVlXhcRFBNlLu6YWIkU+SzWcr7e5zUjynNF7l57Rrzi0t40ShfVcXoeHNnh7evX+ewXEZPWALzOxyRiMf5zEdfIm0aNGt1Tq2t0+10OHfuHM12i/5wSDKbZmd7G3s0jJT6H+wUM5nM1NkuA74XIqsq84sLxFPJaZ8t9H2hxpcVQkVioj8Iw1D0kFyHMBRFpd/vEwSC4jBJ4ZkcTeCD6acecasmYtgJgWAy8haR3saHWFiTndiECNHv98WUNZKL1Ot1TNOc8tAnf0/oyxxsZzzdDVtRUsuZs2cxTQPHcdHicW7duMmzl58S0WOuJxKDhkMsy0KLm8zPzTKM4IO+73N8fDy9HyYC3wlI0TCMqWByoj+aDFUc38cNQuYXF8hnc9Mg0NFgQCKRpNs8oVw+ZNDvCeqAI5hbE1W/GbeYm5vDdXxc25tOkidFcxIvNeH0K6rM9u4mritEqcPhEM/zWFhYwHFd4pbF5v0N+t0hmUyGl77waLPwE9Ek/2mWmOb50w5FiEwoKSiqSa/bIXlRFCcxXQqj2BxtWqC0aIwPH4QYDgYDEtYHMUCmKYSWIUyREw8/1Sc3+mRaN3nNiWhzsjuYTPse7lNNdCnA9Eg4MbWqqkoum0M3xQ2syVAtH017W2b0BBaNTo+FuTn+ya/9Gpqu0+31BLJD1VhbW6Pf73HtB29h6Dq+6+I5LloiwfG9u5y7dImt3W1anTZWzEQGnEicuri4iK5q1I9rJPJ5Bv0+mmaIaKuofzKhRJi6jjO20TQdR+YDXLIkrEqxWKS/kSWy6TQj252m5YTAzr6wYSQti9miCCaIRUfAyfWCD47Kk8/adUSRIgzxA4HQkSUZXdHQYhqDbh+CENt1BIE1DCiW5giDgOFohO/55GcK6L0ex5UjLMui0WhQKBQYDQb4nofvOARRgc5ms5w6dYp4PE69XqfTPGE8Fsry1dVVyvVjZFnBD0MMReTkzc3PC/O356GoKgf7IigzExXlVqs1Hda4rks2stNkMhnsICCesOj0xPBm2O9TrVYJvYB+t4vrjHFdBzNmICMxGg6nshQZ6PV6LC+t0ml3p9O3SVGeUFzbURqMHwiSB4Qc7O1PxcuB53N0cCB6tyN7ajp+3HpimuQ/aUkP5eiBRCDJeIEEeozhoEcqncPzww/tmuAD6mS73aZSqYhGaHTDx0yRxjHZ3QBTDYgWMcsno/4PkS0fwgpPbrZJQ3zyZJx4zyZ+JtM0p4SCSXT2ZMclyzKKquI5DslsdkpInJmZoVqtTo+DmqZ/aAdmxeMUCwVajQa1aoXRoE+rVocgJJNKY8UtAs/j4MFGxCwfc1Quk0gkBdNKEoLLRDLJ088/j+955DNZRv0BpbkSq+vrLCwuoGjq9Jjgui7j4ZiYKVhGnh8iyypEScilUknICzSFXqdD4DvETMF0ur2xwR987at8793XuHLnbf7oz77C7/3JlziMmOWO5yIpMrKqMLLHNE6aGDFzSg+IxWPTL7ZhGCJJRtO4dUtMto6Pjxn0ByRTKVKpFIuRAbZ6fBwpyw9BkhiOhjz7wvNTgeIk4kmWJHqdLtsbm7QaTYxEAklSGA7HpNNZet0Bp0+dJR5P4HkBruNTq9Uozc9D1POctAEmMWKXLl/m/IULUzFvLBbj3LlzzM7OYkUDinq9zsLSEiun19jb26FQyLF/sMvGg/v02i1Gwx6ZdBLCkHgsRiIeJ26ZwuoVBszOCOnB3s42t25eZ+PBAyzLolAo4Pu+uCaRBnBCWA0Cn2QiDmFAGPpomoKsSIxGAyRCPNdhYWFeFM7owf6o9e93UNGSww+mfCGR5EBSBB9o1CeeSGPGQnzXRde16e4JxI5nMs5VFEVMY7o9KtUqge+jzMzQq1Ypzs2S0jUxLvd9xqORSN+NCtWkFzLZ9TwcVRWG4dQKMzs7O+2TTCQIkz+fbLUlSVA3wzAknU4RuGIa9c733+TM6TUqByLfD1nQQSfHJ0mK9EbRsdHzPC5cuCA0Xt0umqJgj8ZgJdja3IQQDstHuL7HD956i0xOjL97g5CklcD3fJYjuH61WiX0RVJM6+QEM5FEN00cV+ywhsMh9XqdufzMdCIX+j7xdIpUwiL0fYaDASnLojkcUC4fRokweb71xuvE0z7/4r/8GPkZK7ouAbdvVPnzL3+bX/+lX+H0+uoU4+t5HjEzBiG4jotlxem1e3iOixKRCibj8WdfeIG97W263a7Y5YUeruNMLTGpdDqK2Vqk3mgwsm2azRMGwyGGrpOdPBR0kQTkeR6e47J3f4P7d++xOD+Pa9ucOr1OuXIkZAGjIRefegp7KNA55UpZmMWzOTrdDoqiYkbWn2QySbvTIWEJSkGlUol2L4Imm0qncRybO+/f59zF89y8eRNFkllcWMC1bWrHNU6azaiXFdLtdZEiQOBwNOLw8Ih4PC4Snf0QTTN4//33p0DE+/fvY5rmVDlumibHtR5h6OO4LoosMM6KolKpVgkDkVo9HA4ZDIfRsOPR64koUOE01DPy0EWFSNgIJr+XkEIZX5bwJJlACpBDG8UbEotZjPodbOLETAM5DMW2PzqC1WoR9jQa73Y6J3SbNfq9NqtrayiqgqnGKB/XWFpaIplM0uv3SEdN14fNu5OeCHxw1Jv0oiYmy0mPavLk8Txv2t9JJpNTcJksywLAL4UYuLhjm5PjI05SMbrdjpgSqipy6GHpCqos4/kSrh/gemMCAhzPRRkNGA/6dE5aKEhYcYPBsIesyRjxGIEET104L2wghTye6zJ2XY6rwmiqKSqj3iDq85j4nseFC5c4qDcZjW0uXb6IEjPZvnuH9VOn6DRP6NQ6ZHM55MIMmZkCgevy4O4tWvUqs4U81XJZpI0M+tzbPcSwPP6jf/YCsvzBza4oMk8/P0++EOf/+t++xu/8xm+hyLI4qg4G5FMZdE2nYzvUO12CEGaKRXb39sjlsqi6gYzMjSvXxNFJlum0Oox90UOMJ0VvsVGvC2pFdFRbKM2ztbM5JVIQhgwbDfLZLLqpM+j1GTkDdu7cEYEKgx7lcplatHttD3r0ex3sYX9aFD3fIx6Lk7WSNCvHmHEDbJFXJwUhqWxmiqrudDqcPn+O0XDI1vY26+vr1I+PMSWFq2++PZVcdGtNXMfBUDXkMMQej/AkhUQmw3A4IvBA0eNomsba+jr1ep1K5RA/CCkWZwX73XNZXl0hm81SqVRodztomkZ/OEbTdeYWVqdUzbmFBZpNISlYWVnm1vVrpBIGpTOrj/3uPhEF6u+zhDZQNDjPPfUR3vrBG/yjz/8CksT0XN7tdqfj3MlxyvM8HNtG0TVUTUyBLNOk3e5O+w1j2yYIg2lTfZKYAXx4NK5+kLA76ZeAsMc8rMea3JiTgplI1FYk2AAAIABJREFUJKbvUTSOh7QbvSjRVbzPTEZAwia7MkWRCQJBQkQWsDdN1YiZwvcWei7z8/Nkkil6zRbbuzuCBR6GzJVKBMBMqSSOyrKMEjWhNd1gf2eHQbs7NQBXmk3CB/epNk5YXVvFTCXp9doMBkOMRIKFuMX2gw1a7RNKcyVkSUSxB4GwDfV7A8ZjhzC0KRbnuHb7fX7nX3y4OD28FpYznDpbYPvggGcvXqTX65HNZlEUhf39fba3t1mJJBH9fpduu0UyEccyDExdZ7Y4QyaVxPc8FkpztG0x1KjVaoIBbxikk+JhMzs7y9HREUEoMXY8AgYEvs/a+hqn1k8xHA3Y39nl8PAQDIkwCBmMhsQTYgo8sgVtIpTEznSSTuw4Do7r0r39vojwcoSoVFJkbHsMsoxri93USBXBCYlEgoXSPKqssL27iaoozOTzyEg0Gg0UWcYJQxRdI/QDZCBlJUmm07juBw9JTdPI5XKMRiNmZ2cxjBhSpAHs9/vs7e1h2/aUge55HmfPnWMcyRwmJ4Fut8vMzAy1Wg01knIUZ/Ncv36D0sXnHnnt/n2BAgLfY9xrE/gBmpVCiSWFrDMEVdGYWVznwfvv0R0MmS3kkEJ/ulWfwOiA6VFr0gtYXFoimUzRarWmgsVq7RhVVUmlknTa7Wnc9GAwEFC0SEU+Ho8FpiQiGPyoRmry32Qa0+12p7C1iQBx0peQZfH/tra2WFxcJJlMcnh4OO1zBUHAaDTGNK2I4BiiazqqpmBZcaHlMhYpb+8KGqMmYyXjDMcj+sMe/Z0B6XYWRYHhcMjB4SFzpTnKB3s8+/RTSGHAjfdvcm+/TLVxwiiZxT1qIoUh+t17/P5Xv8JyaY5f+6VfRAlDdrY36Q+6eF7A0/kcteMqczMFUokkvUadQb9POp3G83yGtoOqycwvpn/sNX76+RLvfW+P1Xmhsj8+PqbRaJDNZolFMUsQ0KhVxQTVsWmdNAj9gPLREfFYnFw2K3aoLTs6forrEfg+ZlTIE4kElmUxcGxOnTkNgGHoDHo9MUA4aTEeDdFMAz8IMY1YpFfKi9F7pTINOshm8wyHQt4wGo2m98HkOk921Z1WezqhrBwesriwSK/Xo9/p4nkCypeyksiSjORLlCsVQkkMU1TDxEdCMXRS6RT5QlEYraOBzGR37ziOSCjuiQedlRC+wnPnz2OPx+JoPjdHOp0W02jXhchTCkxj0VKpFKurq3iuy8rKCrtb9zkTfU6PWk90gXLHQ6ob71Hfu03M0lFVhW57QLKwQPHMR0kXFwhDmQCZZ174GN97602K2V9kd2sDy7KmUoFYLIaqCqVzGAYk00kGgz5jWyA34skEmWwe3TAoJixc3+Ok0ZhONqx0mt7W1jR6SFEUksmkMIdGhW3Sh5oooydu8Hg8PuViT/LHYDI1FNqTSuUIXWY6ednY2JgiWicjd0mSxMQOldxMgUQqQb/fxfE8Rr02+9tbSH5A+vIlRvYYMxaj1mgwN1/iuF6j225z/eo1IRzs9WjKCqEX8N2//hZv3rzL0UmH46XznFz4NL5ufOg6GP0O9f277P7rf8PHXniO586sMxgMOH/+HLqikLEs5DBk4949FAJkSRZ+tngSNB1V+8mzHk1T8Dx/qikzDIOLFy/S7/eZmZnBdV1arSa9Xof5UonxaEC7eTKdonacMYOe4Bl5ps7i4iK9Tpf5+Xn63R6yJDGIEDe+77O2fopavYkboVfMmMGzTz3N/Qd/hSKJ0f+4N8JKJHj6mWewLIvXX3+di5cuUalUpoktH/34S9y+dZPeQEgN0tFRvlAQaTC9QR/PcYWdKgjIJNN4jkuv053KX2qVY1JWAntk47keccvi4qWLvP3Dd8jm85y0W2TjWeLpFNvb29PdeTab5fnnnxcPRVXlxpUrWJZFt1chl8sTBAHv/vCHU4Hw7OwsYYRrKRRnyGQyU2LBaDSiVCrR7/enE+nRaIikqlSrxzyuRD2xBWrc73D/jS9x/nKBL/76x8gVRGPVsT1uXyvz2je/ztzZl1k6/RS2G7B0+jzX332Tar1GPp+NmpAm6XQyQoaI4uT7It5qklMfS1gsFPJ4bkC92aRQKBDTNZRikTCyoVQODtjd3WVmZmbafG9Gf3dCMHh4pzZJPp5oboBpf0rTtGmA4mTXlUwmUUKPIDAYDAYkI9+aYRhTEeRoPMIwE0iqIdhTcQMrmURTVcq7e6wur7Bx9y7v37hOGIknk+kEpfk5CoUcDzY3yGcyWKbOYmkO27Z5+sIF/tWXvsqekWbvE599LNLFTqQ5uvgSx+tP47z3Lba2t/nUMxfZ3NigY7tUy4dIBBiaRqkoggQURSWWSDAc2XTaI/o9m0TSeOTrA+xtt5jJz0x3OJMd6ERs2Gg0yOVy5GZy6KrYkQaShBGPIYVCOiIRRZFpool+sLfP/v4+VtwiGY+j6/q0QM0V5wiDkPJhj0wyQzaV4nDvECUUvT6CEFXTCQK4fuMWmqqSL8zQbLbIF4okEglm5uZ4643XicUNYvE4o+Fwet26vR5a9N477Q5IEmr0ADIMQzD0I12Y4zjkzxXo9ITdJp3JclSuksrkOHXqDEuuy1G1gj20pw+5fr/P6uoqm5ub9Pv96U5KVVUkWfz7J8c/RVGYm5sTBclxBMguGjRMHpKqqrK/v0+pVGJra4tisYgchjQiXdfj1hMh1PzRJjmBz+2/+V1eemWeFz+19sifaTUG/L//69uc++ivkUqlyaYN6ls3aNer/Oqrr0xNu2okO5iEcPqeT8yK0Wq3OXX6DL4fcPXaVVB0bm88oFKtYtvCNHnh9GnOrq5iRQVlMplzHIdEIjHVsEwa5RNx6ITM2Wg0pr6mh/VUE1LnJP9uMOjhjvrTL6Xv+1QqFUD00+bn59F0A1kzUbQYiXQKTVdpnjSxTJPr77wLroumKqQySWondYEUjseJmSbHtRrLy8tiNxiLsbe7x2yxyP/91b9kU0uyd/nlqdjyJy3ZdTj31jc4X8zw0UvniWcKXLhwjn63y733b6DKMqPhmGQqTbG0AJLCX7/xGjPLIZ/7xTOPfM3xyOV/+R9e45/82m9SzOenTPOJnWdqe4npeEGAG+2aZElG13QcewwhQuUuyyiGEJ4SeSsH/T7j4YhEtCu1bZvRyBENYT+gMFOg1+shhwGDYR9NFdKR/sim3emysrKC53t4rsdwNOTChQu0Wm3KR0dYCZNYTDxYBHkgxcLCAkdHR+TzeXZ3d1lcWGB3d5faSYeAEMswyGdSSLKM73kCLhfK+H7I8x/5CK7tsLO3S9JK0Ol2GQ2HtNptVpaX6fY6XLhwgUajMSVmFItFirOz9Hs9ut0uYcTvMgyDbDaLE5mA/TDkYG+PTCbDcDzC9TySyeSU+TRJwhHHc49hr0v1aI9cLscLr/7yk5vq8qOrVdnBsqTHFieAbMHilV84TfnBO4SShO26nLtwmd29PerNJvF4DE1T8QMfRVWAkDAMcD2Hbq9HKpWi2+2yu7/HG+9e4ZuvfRe1pPDSb7/Aq//Zp/jof/A8bb3Hl77xDb7zg+9P1cETHdJEJT7pNUyMycD02JGM1MmTXtSkwHU6nelTb9JLmGiqJse5ZDJJPp8nnU5PLSLANH1FVVRUWaZaqWA79lQtbDsOhmmg6RrxeAzHdcjncyytLBMEPu1Wi9FoyIOtHY4HI/YuffynLk4Agaaz/cLn2Dysomoa66fXUcIQezTAtW0c25keEaQIx/yFVz7LO28ccP29o79jdh4NHX7v/7zCufVTzORyf8feMtHtiKLvE4TgIyHJCmYsjqQoSLKKrKhIivh10m8qFotomoahGyiyPA3cHAyGJBNJUvEE6VSaQjZPTDfwI6+JhIQSSgyjxJnhcETMjOO6Ho7tsrO9S7VSJZvNkU5n0HV9mvOXzWYJJRHyWSwWCYE3rl7nr96+QsM5YSj3ee/BA/72ynXqrU6EpTFQDZ3C3Cy263LSahGLxSkUZshmspw+fYaF0jxzxVkWFxeJxWLU6/UpETWZFBqpieykuLAwdTZM2gxWKsVxpTIN/AiDD6COk4fpZIhQrVZFXHoiQSwW+7HI3yfoiPcB6vdk7wYvfWLpJ/7E5RcW+O43vovnufTHMjXP5amnn+HdW3f43Cc+jiKFqKoS9Z/ADyUcPySXTpMr5Dk5OeHLf/FNiudm+ORnz39oyhRLmmTn0lx65SzvfOUa3/7+m3zxM59DjfhPhCGqokxj1SdfqMmvo9Fo2ieY3AiaKtJvi8WisGWMxkiIGySdSoovph+Q1E1yOXFTdLpdVN1g7AraQaDYdA477G5vkUpY+K5HIZuj12rh+x7lcplYUuBcW+02VjzO+qlTJCyLYb/PoD8gYVm8dv0u1eULfy9Sp22lGabz7DXafCydpnFcYdDvE4vFGPQHKIoKSCiqRjZfQNEUXn7+Bb75tat87292eO7FEoapUj7oceNKmWcuXuTzn/70tJA7vocRF0dkSVVIxjN02m3CiM0VTyRIJhIiWj0IsFJJFEmmWq7g+R7ZfIbF5RV8x6V70mZsjykfHKLIMnIuR/ekhTOwWVhcwDRM2u0WK8uLvPHGG6ysLBG4ASFw8fJl6s0GyURCuABkidLCPPFYHFmRaTQadPsdNE3FdT2KcyVGtsNR5ZjV5WVu377Hu3fuk5vV+a//uy9Mj7hBEHL9ygFf/dI1Pv7MZU6fOU0ym0fRdDqtLrniDMNen+bJCYaus7ezw5nTZ7h67SqmJWQspmlycHDIYNAnCEKy2Wx0fPWo7O+wtrbKtWvX6Pd6SPKk0IsibRiaoDhEAR3Hx8ekUkkyGSFFkGWZ5eUlrr77Q6TAZW9vn5VnP/rIe+EJoRl8+Klavf8OL35yiUTK/LE/pagyt65UMPIraPEcbhiiGzrX3n2LtTNnSFomkgRSEOL4IZKsoetxzLiFpul85Rt/iV7UefYXLj2WDiArMosXSmzf2kcNVZbn59FUbeoLE9PE8EMO/MluSdM0xqMRakRMkCUZKx6nfdIibsYIfJ94LAayTMxKomo6nhcQeCGD/ojBcIysaQTIIhpbUTB1HUNRWSqVSBsm436PRq2GEdMZ22MUVcZKCF9WEAQMh0PCIGBvb49ur4fre/THNm/duMPe5ZcJfwIx8XHL1wz6t67ysWefYntzg0athkSIIsnE4haJZBpFN9BiMTY3NwB49ZVXmCvOc/vGPt0Tmbia4x994Re4eO4cqqHj+h6SLJPJZZFkmbFjk8qkabVb+EFALGbguTYSAb7r4Dk2nU6L1kmDerVKv9dBJqTb7nHr2g3wAtyxLZrpIxtVkumcdEjEk1jJBLqpM3ZGFOeK3L57G9VQyRWy+JJPIpOi2+sRj1nMFGbE/RZdx2ajIcIhZJm19VPYtit2dwHk0nmy6SzD/ojtwzLtcZN/9i9exjA/2GtIkkRpIU0qHePKezvkkwlcz8OMxcmks2IqaQk0cL5QIITpkMUwYhxXa2iazmg4IpFIiiiwEMrlCmvra/i+x+3bN1AUiUwmRT6fZTweousqqVSC0bBP4PuiABo6M4U8C6V5ms16JGfxuX/3Hh//1Mv0e10c12X13MVH0gyeyCOeLCt47uMbcw8vz/UJZR1PkglRkfUkK2vnuHHzDkGg4AcSocg/F81MS2M8HmE7Dhvb21z+zLmf/H4UmadePc+7N29MtVGTXdOkKOm6PlWIW5Y1tbVMtuGO40wbtBMEzMSKsLq6Sq/XY3dnl063O9W4SLI0PUJOpi3tTgfHdcgWCmxub9NoNlFUld5gQKE4y+XLT+M6Hq7j0W51cB2PauWYbqeH7wXksnna3QGjbJFA0//e16g7s4Bvj/j+m9+n1+5O475sxyGdy2Ilhcq73WrheR5nzpwhFotxdn2dVz/1Cl/8+c/zyssfJxclDgeeT8JKMFecZXtzixvXr+PaDrqq0et0SVgW+XyebreL67jcv3ePg7199nZ2OX3ugvAeRvibZDJJNpulXC5TPT7GiXxxkqJQWlzADTwyM3lGrotqmGzvH/DiJz6BlUkj6TqaaZAvFpiZmSEej9NoNBhGvreJRSmXy6Hruog7D3y8MKBQKBBPWHQjOsbG4S6f+fzZx+q/nvvIEoPxiEBSkALYvHuf2zdvcObUOoHv0em0qNePiSVjaJZBb9gjmRTxVhMT8KSP2e/3eeGFFzg8PODoSKjdO50O8XicVqs1pT2sra2xurpKMpnE1A1Blx2O+P6bb3Kwt89xpUrlqEw8FmPY61Gv11lbW33sffAEHfE+WFZ+kfvv11hcy/3Yv9c47jMeexjJ6CaXFELJZPH0Zb7/rS/z6idfRtwbAZIUoikSfhiQz+f49t++zuL5efTYT/clzS1kUWMqB+UKp1ZXogQUYVp9OBVl0iSfmIR1TWM0FA3JWOTHMwyDcqWCpgsGlSRJHNeOmSvOkkwk8G0XxxZCP8f30KPdmWPbpFJp+u0ut27c4PbmJpuHFdr9HkHgi+YoomBmUykunFpmsZjH89wPhTH0B0Ocf4fiBIAkEygaw/4QKyugZ4QSVtIS9gnHIT8zR+OkxcxMMRKhximXyyI/LsIlT/Q7k4nTRMZx5vQZbNueYlM0VePqlSsMhgNSiSSyLLO0vMzly5eRPY9+vz8lW4YBzM7OYuoi0y0RHQkrR2UkWcYwDWr1OqquMWqPMWMm12/eoD8YkM5mMK04oSwoDa4rKAmu607R0bZti6NoFJIZRPq4yfKixnetccLq+ouP/QgVRWZxKUvluIaKhDOycWWbZr3OSb0+fdjpMZPDw0OKpTnS2QxJT1i3QGBbTNNkcXGRVqtFp9PFsmIkk9YUeT0ajXjqqaemWXeeJ/j9ly5dYjAYUKlU0HWdtdXV6W7N8zw2NjbEFLtSZfmpR/8bnsgCNbP+LDde/wM+/rl1YvHHf5Hefm2H/NrTSIrwz3mhBqFEzMigagZ920dXhMlYVRWQfAgCBoMB9ZMGufXHRzr/6JIkidxShma7zaq/iG3byA81tSd9piB6/cka2zYoMqEsYVpxekMx7TkoH1E/aXLx4kV2dnfJ5XLE43FqtRpn1k9TPjwU5E9TsJT8MCCUZVqdNtdu3OLNt39IveVxZ3dEo+3TH31wTLZMiXy6z729NnM5hWcvnuXVlz/KzNwc5YMDoXAN/iEGwCGh70ewORnHc5A1kWSbyeY5rtfo9fqsr69NNWS6rqPrOuVyGcuyWFpaQjVN7E4HK5WitbdHKpVid3cXRZaZX1piY2ODWq1GJpVGBgb9PqfW1qnXatQrVRzbFj0w04RA6LA0RcUwDDFkUGSq9RpoKq3I6mGlkqSyGdLpNP1ej/rJCYurq6jRBM8D6ictsukMCytL1I5rAresyCi6BoqMrCki46/VIhZZa0bjEelshvLxMYoiMx65xK3H38PjsYtvhkLVLynIwP3bd/ADn2yhwHA4wCdgbX2Vfm+AKqnUGk0ymcx0uCJJIiE4k8lw+fJlBoMeQeBOw1Gz2Sz37t0jkUhMBzQXLlyifHQk6Bjz85HOrCWa/EEgen6hMBo/8akuP7piySy5pYv80b++wn/4z1/4O0UqDEPeeW2HzXstzn72l6ZZeiESLjJSoKGoGrYrUkGQQNdlpEBGhg/SSR6z9X7cEhIA70MwtTACqE12T1MTaFS0HMeZIoYlWebg4GAatDA3N0cylULVNEbjEaZucHR4yPu3bpFKJkEC04zheC6GYdLudvm3f/xV9ssdXrvSpTd8dJEZjEMGY4/94y4xQ6LavMP97X0++fxlUlYcVVExxic/+4V5aEm+h+x7ZOIJlABsz0GNaciqQmlpgWq1xtHRES+99DGRvKIL3EyAMMgeHR2RzWZZWlpi+8EDHNvmpN5gtjDD1tYWg26P5557jjvXb7C6uCRinRQIfJ+DgwMsM4ZrO8JQHYTomsawP6BQKKBGUg1N0zBigvCZSKVwfW8qB5lfXCSRyrC/u8XW1jaKLGMacYozBba2Nzl34TxyoNLv9fCDACNmTqeLRszE9T00Q+ye0pmM0BONxzi2jSzJKIrMqeVlrr67z6u/eOGRn2G7NaRy1OHnP/4qo24XezAExMPUGdm44xHtVkBz64REKsn5c+fY3z3iwvkLPHjwAEVRWF1d5ejoiFwuJ4q6KuO6NoryAdan2+1SKpVotVrMzc2xtLTEvbt3IRAE0F6niyxJpNIpatVjkskEgecRBD7D4ZBsdAx/1HoiCxTA0tOf5uDma/yr//F1nnlxkXOXZ5EVidvXjrh5tYoXSBjxJBtvfA1VjxMEghhlxBNk80VCSWYwtkklcyhKIIpYKCOFIbKikLQSdE96P9N7GpwMWZkrTftOwBStMukTtSN7jKZpUwZUbzhA03W+9b3v8d71G9jjMUQj+NOn1vjY889z/txZms2TSNvSJRUlb7ieaI426k1+9w//lLdvdbm76/z4N/rQGtkhf/1Oj7X5EcPRu/zqq6/wc889wzt3v4w2GuDGrJ/pM5isbGUHSdOJKyph4EfFWmL9zGmOT5psbG1SLJaIJxIQBlQrZQ6OjnBcj9u3b/PUpYtcvnSJq1evUiqVCF0PRZbZ2d5m0O/z3LPPkk6l6GcyjMdjUrpO5eiIer0uhh62w3ypxGyxyP7uHhJQyOWmoaIT5LNuGkiyjBoGWA/RMk3NZG9zi42NDYIg4OIzT5FKJalVa8zNlOieiCDPbrfL7OwsuXx+mrgzEdzW63WSqSTNkxOG4xFSCHHLwvcEgviZS5f5yjf/ksvPzjNX+rDVx/cDvvbHN7h0/hyGESNeNJCCAM8Zc3B0RCxuMBoPkBUYD3qM+12utrvImj5lWDUaDVqtFvV6Hdu2Becs9Oj1HEqluWnfU3DxDUqlEvfu3SMTFdTx0MY0DDRNY2Fhgb29PaFB83xiZoz+oBvlAT7+pPHEFihJklh5+jPMrj/L4dZ1bl65KbxOsRisreGX67jNJt1RgnYvZOSIEa6uHpNL7pKNt/nWX32Dz376M1xcXSYMfcJAnG7cwOXyhQv8wVf/lEuvnENWfvIsYtgdUd9vsvTcJz4UyDDpNU3O7RNRnKZp4s/CkO+++X3ub2+TPLtM6Tc+hZ4RkDxvMKZ5Z5c//LM/Y3lxkV/45CcjMqQonKqqMhyPcTyP3/+jr/D61Q7bR4/fbv+4tVP2sJ0+svwG/81//s9ZKGQ5PrhH5ewLP/uLhSEze3c4lc9i6Dpjd0wgQyKTIJ5IUN7aZmV1lVq1wcnJCaPRkD/48h9TazRYP13EVzz+9C//gpv377G+sEg2m+Ww051qxCRJIpZI4Ps+hUKBWq1GuVzm8PAAWZbJ5/NTqkQ8whUrkkwul0NTNcaO+Iz8QKBjkCUCP4ya+LZINtbj7GzvMFsskkiK6zHoD5AlieFgQCxu0mq1SERaoIlhfCIhmajbY1b8AxmJJmK5vEjftjhX4nMff5n//V++wcc+uc5zP7eEYajsbDX43nc2MbUkX/ylT0V6uQ6jfg9Z00gkEjjjMZlMBitu4Y5tPN/HdTzwg2ngwuRzmMAPW60W+XxWfA4PGdNN05z20RYWFsQR1vUp5HSq1Sq6rnNyckI8Hp/mRCaTSRJJi/mF0vRU8Kj1RCjJf9wKPI/3//aPGIY20ksfIdg7wr+3xXalSLWVxw8ePSZ/enmToWNQyvY4u7bIr/z8Z0jELeRQIlCFJeJ3/+RLLP7cPGvPLv/E93Htr26ht1U+/8lPomkibHM4GjEYDtE0Dc/z6Q36yLJEMp3G80Ra7bdee52aPWTul15CMbRHvnboB9Rfv4503OLli+fIZdMkLAszFscJQ77+7Tf49g+2efv9x5MNf9r19GmDz7+0yKc/+jRf+vYb3H75V/H1Hy/n+NGVaJZZu/46//Szn0QOQlTTwA19ZhfnCRSFzc1tQiTOnT1PGMD/8fu/yyc+fYpPfe4smiau13js8jffvMvNK2V++dOfYdBuk8/liVtx9o8OOXvmLAeHByytrNBsNkVTOvQpzc+xtLjI9sYmczNFElYCdzRme3OT1kmLTCZNeyg0TrqhTyPWVUXFDXwRANrvE4QIimhEoajVquSzWY4rFWzHoXXSQjEMcrkc6XQaVdNwHYfBcMjuzg4zM0J6sLS8RO34GMMwiMfj9Po9fMfFshKEET2jOxry1ntX2NzdwfcD5ooFPvrCi8zPFKgf1ygU8iiaTDonQjOc0RjLNLl967ZoFdgOnuOCqnAyGHHp6aemLQXHdVEVlUajzvzCAt1OB99xGfR7aJo6NVv7vs/GxganT5+JtE9VXMedQhVDwHYdVpdXCIFGrUY2l6XRbJCwUpTOX3pkP+QJ0UE9evUaFa799e/hJQykV1/Be/MKnQdtNg9LqHKAqbnoqoft6jwcTZy1esznmtw5XOOgUWDQr7GxdY2nL5xD0w2CUNAEZvMzfPebb5ItpUlkH3/U2Xx3h9339vmlT3+adDpNMhK49bpdkXwbZe5lc1kRMKCLRvE7V66xWStT+kcvo+iP3wxLskR8dY5+tclJpc5M0sRxbHq9LvvlY965fp9v/7DHj3lW/dSr1vKZywXM5qME3J0HtEprhPJPp4cy+m1OXfkOFxfmWFsU5IGhM8Z2bJKZDIPhmGQ6zfLyMplUhm+//hpLp+J84Vcuozy0U1VVhbMXZjnYP6Fy1OLy2bMsLS2SjxDA3V6P4+Njzp4/x8xsESud5NT5sySSFteuXKFUKlFcWKB8dMj7N2/iuS5zpTl0Q8eOiJayohCPzNyyoqCoKvGERS6Xp1AqEPguW9ubpFJJDvb3GfYH7G5v44zG5LJZYrE4sYheKksS29vbnD51isFgQKPR4PTp09ijIZqiRCyqFgQBlUqFWEwUfZFYbbO2usxHX3ieL/78z3PxzBnUIKBRq9HvdkinkozHQza3NsTEVZJQVJVcJsNwOGA0HgEhfgjLayvuqOEpAAAgAElEQVQcHpVZWVlh0O9z+uwZVE3luCZYZoqsELPiWFYCJBnbcSlXjwW7PBApQb3+gNlikcXlJbLZDJGaD9dx2N/f5/DgYBoCEYslaHc6zCwuPVIH9cQWqOOtm9z9/p+DriP/8qt4f/s2J7suB7U8Fxf38AOFhDmilDkhFR8wsE18X0FVfJ5Z2eLe0TJDO0YYyjR6GQLfYWf3Ch95+gNRZiIWp1Sc5TvfeJN+a0g8E8O0ovy3MKS+1+TGX9+mfLvKb33hF5mNEoMlSaJer9Pr9xmNbZaWlgTjydBF0KIkoWs6v/+lLzHzCy+iJX5yZLkkScSWihz84Barc7NIyMiKyhtX7vDa1ROaneAnvsZPu3pDH8sY8yuf/jj2cIh3/wbdmUUC9cdLDxLNCqeufIdTpQK/+fnPYY/tiMkdYKXTyKomRuHpLMlEil63y9e++Vf89u+8iGk+eveYn7H4zrff5+WXXkQxdI7rdVrdNol0ilNnz1CYLaIaYrR/tLPP9v0N1lfWScYSvPna69SOa6i6jqLreGGIF4Zkc3kSiQSzc3N4gU8oS0i6gieFWJk0sqGhKTLXr13HsR2sdJqNjU3u3n8AQDIpPHC6aWLGYiLoM5qYXbt2jXg8zoUI43t0cECukEeRZfb396lWq1NMdCqVYmFpCdcRfDHT0Ol2O9ijITs72/iex9zcLL7n0e60WVlZojAzQ6PeYDQcUalUqNXrlOZKEPXWet0B6VQK33ax4nGG/QGh55NNpUnGLaykQMF0+j0KxRls1yGbz+EFPoqqks3lUHWNwWCEgkSzeYLvB4zHNpIko6oauXyBpdU1qpUqjWaTwWDA8plzT26y8I+uxv49Nt/7Ll0yZC+vwPY+43KXo/ocFxf3eP9gjc5Q9A0U2edTF24yl2nhBxJ+oHDcydIapD70mjv1EpY55k/+4i/57V//VZHqFgYsLyzwT3/zt3j/3l3e/L23kTUZTVcZjxwMVefZCxc5+/wqsYg57rru1P09VxJTOJHw4iEhY49GbNy/z97hEXIyhln48Rykh5eia6TOLrFVrvGRi+epHNc46XTYrfz9+k6PW0c1j8HIYex6XF6aRQ0DjDe/Ti83S231EoPs7NSfJ/kemeoexd3b6OMBl1cWOL+ywNbOtrDueCFqFBxpJVNIioZuxlB1HdvziMV00pnHF+j5hQxj28GXQtzQZ25xHistkk9UXcPzPca2jRmL4Y5GZK0U7nDMtXv3RRiFYeARoKky2VkhrIxpMQzTpHJcRTOFYdYnZHtjg5MoA24hm8PUdN648g5/+PU/Z3YuTTJp8uDeLsa2wRc/+zlWVlcpl8sC2dtu4/s+H/nIR5BNk7iuCySPobO/uzulEkx8k4mECCt97bvfxUrG6fTaxONx5maK7OxsIxOiqTK9bptUMsnq6grN1gk3338fy4yRSog4dVVVmZmbpX3SolqtQRDSqNbYHwq6xkRzZZgGdn+Iaup0e10W11eFpEQSEfRut8Py6gq2bTMcj0ikkkiSjB75Jq1EgsPDQzRNY9hsCkaaaTI/P/9jMxifuALl2mPuv/0t7g9PcS65g7SygPe1b3F7Z53n1ja5tb8+LU4AfqDw1oOLfOzsHX7w4DK64jF0HoX1kLhfXiZr3aFcrTI/NzcVWGbSKT7zsZd4+fnnOOm0cF0P04yTywgn+AQ3MUGfqKrQ2BRmCgzsoRBmRtzz4aCHqkjc3nhA4vxP7m396EqcW6b63Wu4vkdnOKQzkPB+OlH9T71CoNr0eLC1y8JMnnNL85xfWeSwdsK129/HsW18VUMKA2TPQ9F1Li3N8cqLP082m2F3d1fc6KMRiXiSIJRIJNOMxw65YozRaMxoNKbZajEaOfh+8KHj3cPLtj2CICSdzXJ4dETMstjd32dxfl4ES6bT9CMyahjKEErs7e7jej5IIs47mUqRyeVIJtIYMRN7IJwCnucxmyuhRzuzXC5HvpBH13R2b9/he2+9TbPX5L/4rz7PTFE80IIg5Ma1ff7oS3/Of/pPf4eTkxOKxaJw9w+HIjii3+ck8lkeHh5CGH4QjRUJUhVFQVXVqFfZJ26YhJ6PrusUCzO0220BVPQ8knMlTuoNWp0ucSOOqooi74cSqm5Sb7YwNR1JlnGcUcQ3U6fTyt6EYhCEoMoM7DGnLl9kMBhM3Qzz8/NTTFCz2eSFZ18QPbt8iiAIODk5IZBkmu1O1JOSmFtYxHdE5t/j1hNXoO6+8XWaTho7NAgzWdgv0+oncX2NIJA+VJwma+wa/O1tgST1/Md/ZK6vctCc4TtvvMV/8o9/ffpkmEzjTNNkTp8hjNJKgGnwwsMJLhOzphGPM7CH9Pt94rEYRiyGqajsbe9gOw5q/GdrPgOocaGtMU0dPRbn4Hj8M7/GT7MOa2NqrS6f/vhLWIkEs/PzHJXL/OYXv8Abb36fRNxi0O8SMw2SiQSarnPh8iXaJye4vg+yHBl6PWIJi+FozJnVNWRVJVcQPCvLSpFJf5u7tytcfnrhke/j6g/3OLW2xHAw4MyZM8RNk8sXL1ItiwQeXdO5c+MWpmkiBTKB66OqOp4fkk4nUTWN2dIc6UwGx3Vwxy5mIs7uzi7LS0uM+gPiZox2vcns7Cx2p0+902Hj/gM29vb5b//7XyGZ/OA6ybLEcy+sMB65fOUbf8Zv/9pviON3LMby8jI3btyY2mgmDXgJpmP+CShR1/VpInXcinF4eCDkFD7U6wLzokX30XA4ZjSySadSjB2b+fl5dnd3KZVKLBQW2d3dpd3tECoSq+trbG9ukc1mmZmZwUokaNTrxOIxjo7KyKpCJpelsrePjISualgxMZ2TkchlsizOL+B5HsfVGqdOncL1PHTN4NT6acrlskhv1nX29nbJJJNT1fqj1hNVoDxnTK9ZYXP8Akmlh2TouHe2ODguYmpO1Az/d1vlVoHD8h3ROI36SbIsgR9ExUiOdkzSVErwcIwVMI2u7o8GHJb3yefz+L7LrZs3p6GWahRw+bOu0A+QZYlUJkHjVpfe8B94+xStwThkMLLZ2zsQ+X8BzM3McFyvYxomsgSaLE8/F9uxaTUaBCAMvK0Wnuczky8SIDM3X0JRlWlz1rEdKtUKP/f8i/z5l99gaTn3d4569VqPb3/zLr/9G/9YRIBnMoS2Q7VcYWlhkb2dXe7fuk1MN7B0UyTvaqDpGqWlhamaOgBazROSySSpVIq940NWTq2xtbHJc888hzceszAzS2B7bD14wLA/4LhxwjPPLX2oOD28Xnhxlb/4+g0SETxQlmXu3r3L+fPnuXr1KplMhrt37qDJMsPhAF3Xeemll6ao5vF4LIJRFYVBd8DSwjKj0Yh7ew+I6QaZQoZWq0XSSmFoJhfOLWEHHs1mk/HIYWV5jaE9ZmS76GYcZBUrHkdWVBRDY355EU3T2D88FJomzyWQ4Zlnn0GSJO49uE/gByihhO96tFst+v0B8/Ml5AB29vbIzxTIzRYZ9fsMyyO8wGdmtki+UEDWNPa3NllZXGB/f/+x99GTUaBCCaSQwztv0/MTjIIYcXlI6LrIwz6d0RqFZIfxP0CBcjwN21M4ODpidXGJMPKuIcv4kYYlDEIkWXCXJFkWsU9R2IAf0TjDICCWMFlYmKdeq3N0eEQuk8GKxXGGI0q5HNuVE1Jnf7Zj3qjSRFNkEYkV/MM1xh+1ZFnh3IWLJDNpAtvm5q1b1Gs1FpeWOK5WUUIJL/AF/dGxqTUbVCsREzwIyKTTrK2sUW3USaZSGLG4AP65YsyuaRqXLlwEKeRf/k9/w8c+eYoLl8XR+tb1Mu++tcuLzz/P2vIS/c4ARZIpH5U5rlQJbBcJaDdP0GUJiYBWu4NmxiimU8zNz7O7s0MQBCwuLpKwLGq1GrVaDUcOuH//PivLKxwe7NOsN+g1W5w9dRpvaCP7IY7vsjIvvJ7t1pB3396m2exjmhrPPLfM6nqBTMZic3uLmVyevb09PvOZz/Duu++SSqVwxmPSiST1+jHpdJpsNke326PVak2TmvP5AuPxmOJMkUa9Se24QSqZwYrFUDWN+flFZEkmZpqUq1Ucz+Gk1WJ2dpbt7W2eevYZHjx4IDjno+FULb9++jSpTIbBYMB8BMNzbBsJuPreFSRJtCPiloWmKAw6XRZL80hAuVymcnBIKpdD1zWGvS6dTod0OoXremSzGTzPxR0OmCnOoMVFFPrj1hNRoEJJqMBPKgc0XCGrHwYxpFYLOxSTOFNzGLuPngT9rKs/jnNYKbO2vIQsydETUsELAoE2kQBZxgsDwWAiREICRcaJWOMT24Pr2LRbJ8gEFHJZfNclX5rlOUJu/Pk3KXz8svBw/TSfQxjSvbnF86vLKLKOIoXEjP9/gBamLlFt1Pmf/83/Q+B5yJLE2nyJs8tLHFUrxAwT17aZmSmwsrbGO1d+yNnSJZqtE3zXxR3axHWd/b0DFtdWGds2etIinUmDJNHtdsmkk6STaYq5NMVslnevXePaD99DkiTWllf5j3/rH3Pm9GkODw7wfF+Yg7sDQKbf7+O5Nr7nMLRHmIYJ0bWwkglGjmj2xuNxHN/HVFUUXUOTdNxRH9d2iMVjHB9X8QhI57PsHx7g+8K0nYgnaNT6fP1Pr/LDt7d49oVFFlfSDPoOf/j7b2ElDFqtPoWZPLtb2xiGQaNRQw4Deq02w+EQMxZjYWGReFxIVOJxC8fx6HTE0U6WFXw/BEmEkRaKM0L0qWoYphH5E1vgOrQ6HQbDPoqisLa2Jgzk5QqaLHIcJUki9EWv6MUXXxT0S9Ok0+mgSBKmJnLsBPcpxPz/2HuzGMnO9EzvOfuJE/uaGRm5Z+VSVayNRbK4Ntkke1OrJQGSIGkMqSX4YsaGfeUL+84wbMCXxtiG4BnM2CND0ow00vRCqSX2zm6S3V1ksVhk7UtW7pmx73FOnNUXJzJYbLLYxVbfGDU/kEhkZGZs55wv/v/73/d5jTAwNnAdNDmKpipsbWxgDQa49pD9vV2QZGxniO+FBnrTspEViV63h6zIGEYEx7FJpB96JXmAAAx6XXpeAQDTN7A8Fd8No8yTRp9mP/4reTTble+blioIIgiMdua8cQbeoTL8MLnY9w+3ZsOU1lQqRavVolQsYts2iUSMiWyG1vvrZB5deaDnNdiuINoupVyWfCZLJl6mlFd5/879k11/2VHIKhhPnkZ7JMTNeK0OG1dvcfuNnzBbnOTXPvMcQSSCpCrcunkTURDZ3Nqi0+sR1XT0iMHi6lFUJYoWj9Nq1InGE7TbTczBgEwyRa/TQdVU9nd36LbbrMzP8we//dvcunWLlZUVbt68STQeZ3FxEQER0zSpV6scWVhE0xRu3byOZYcpxkHgMzVdYqo0g6br7O3tsby6iu/7dNpt9GjIhTdiMbqDHseOHWNoDTlyZJlmvYHdH9CuNZgqlSjk88iJCH/+yjcpTiX47//Hz2Pc4/f87OdW+M63rlEthwbkw4b3jRs3iOoR1tbWxudAPJWm2Wyxsb5OMpkc+93S6TSNRoOJiYlxAtBhQrQsy3ijnufG5ia5XI61o2uhMdjzaDQa4wDYvb09NE1jbW2NCxcuEIlEWF9fZ3t7G8e2mZmZIZFMMuj2wiRly8LzHfr9Ht1OK0yyrle5eePamI4gCgKBM2R6qkg6FsW2hzSrZVqtNq1aBXs4xIhGKUxMgiTRqNY5OvHxPcSHpECNRuDhBh+85LKZpSBWWJrYRZUdDlqfjF950CGKPurP4UYOI6ru5WAfIlSAMY433E06XO4FmOYARdYQRRnLtrFdn5t31olFY7z0xGP89be/h5KOEV+Y+sTnZNVaHLz6M55cXebY6hp7e3vMTxXJJa8yAnj+SkexoCIXsuOfpVQC6emzKI8+wv733+D1d9/jkeIEHj6qqiGKEpWDKkYkhqrrzM3MEMvmQJCp7e3hBwFbt+9QrlU4srLC7uYW8XicRqXC7vYmzzz/HNvr67x36WLoZTN0LLNPIATcvnWDnZ09giDg7OkzXLx4AUWWEYQAglCZPwzgjYvv0nn9xwgITE9O8ZSmkUwkmJiYCHuCvR6yLDM7OxsiazNpLpx/C9/1mC5O4QU+Rx45RqNSod1p4wcBX/3nT36oOEHYKP/8l4+ys9Xm29/7Ac8/9WSoLWq3Q2qBYXDjxg1Onz7NW29dQBBFjh47higIzMzMoKoq6+vrFItFMpkMdzc2xoDDQ3yxrocIleFwSK1WwzAidLtdIpEIphnu1F2/fh1Zlslms+Pw1+W1VS5dusSZU6fJFAoM+31ajQbDaGyUItMlooWcdlEUcWwLSZIxIjqmOSBqREKeuSggBR43r15GVVWazWY4G+0HWNaQTqNO+WAfOwjQRJmjjz/5sefRQ1GgxDHuV0ASPmgK79kTzMe3IAYX7y7f19byaUdMsyhOhDO1e61E0ogu+fMZd4fjXpNwEAS4jo+uaCTjyRA1m85w4/ZtMtkcqVSKiK7z1d/5bf7d3/wtw2NNkicWPyLa9IYO7WsbNN+6xuNHlsgn4lQOyqQSSbLpDOlEnJlCn62y+yt57QCFtIQWVRHz2Y/8TtA15M99hqt//z38QY+FqQIIAuJo0yCRTJPN5bADOP+z8/Ta7ZEwUcFx3BDUdvkyiqpiWybb29u8/NKLbG1scO3aVRYXFzmysoKqqRw/8QjffuWbaJoGXthzevfdC3iuQyoZ6sv6rs+f//2rRDNRSidLFOMlXMdj926Z/+1f/yvmpqf5o9/7fbojOJthGMSTSeq1OnuXryAhsLi4SK1WIz8xwfr6HRq1Orc2tzh1eppo9OOTZgRB4JnnF/iHr99kf3+fer3O5z73OUzTotftYlkW77zzDhOTk+PHHVoW+/v7zM7OUigUyOVyVKtVev0esqoQMQx0w+CgVqVRr4em9VTInNciEbJilgsXLjA3N4fjhEGs92qqVlZWEESR6ZlpNrY2uX37dhirpussLS1hey6OY5NOxen3OxiGQb/fQxQlRDHcha5WK6iqSj6fY2drIyRuWAPi0QjuyJguS+A4LoIvIQoCmn7/3u9DUaAIwrhzRVGJSX0abjhTmlBrIMD13Vlc/1fzVggERLUh01MfndEcYnt/3v947+0f+vJ9JFkiFotjWRaWOUQQJdKZLPF4nE6nQyxm8Ptf+XUuXr3Gtb/8DtHpAmImBoKA3xnQu7vPVHGCJx8/iyKERXI4HDIcDpmYmODFc4+yU/kh2+UOv6pJ1OmjUYyTa/cV4AmKjPL8k1z/hx9wZKaIJEqYwyHGCC8bicZQNI1INE6jUsY0B3Q7HXRNRZNlBEXGcV36vS5RI4IiiVT2d5FFAVWRURSZ3e0tauUykijgOjYCwbi5HIlEmJoq8tb7V3nz0js88QdPkJr8cB+kdHSKoy8d5ep3r/J//tt/w+995TfQNS0MUrUsZElCU1Simch4uV4sFqnX6mjRCJIiM1m6fwwWwEQxQbc3oN1uMz8/H2qOOh167TbaiAIAo7Rp16XT6SAIApZloaqhcbjT6YTughFPvdvtMhwOicZiCIIw6lWFy9tuuzVqHVisrKzgeR8OoEUUMC0TWVFCLdRoh3EyXyAIArLZLAQ+lcoBwojRhSDhByG2x/M++NCtVuvYtjMG7QVBgOt+oPc7XIYquorv3v/D8aFA/gqEOJRENk9aagFQUveYVvcoD/Nk4p8Oi/JJI5doEYvF0bWPnpz3Fqefv3gPT/LD28ODeGh8tcIvx2Z+YZ5cIY/re6RyGZAEZudm+eKLL/Bf/fFXeSQ/xUTHY95WePnoaf6b//JPePHJJ4hGdbL5HBPFSSzHBklgffMup08dJ25IrM3/03cwARamZPKTBuqx+6fFAkjpJEIixk6lhu3YxI0YRiRGIpFC0SPIeoRCaZpjp07wyKlTTE/PsLp0hFKxyP7uHp1mi1atztlHH+XihQvoqkY8GmNucYnduxu8d+Ed9nZ2wQ+IaDq+ayMEHqXiBIlojDtbO7x+8W2e+eozHylOh0PRFE7+2kkScwn+4YffZ2FpiWQuR71WQ9O0EER3UGbjzjrKyJdXnClx8uxZVEWl0/5kjVm3Y6HIErOzs+RyuTDS3nEYDAYMBmH81NbWJrqu47ou6+vrLC8vI8vyOHw0mUwiiGIohBzNyvP5fFhMCFsLvV6PTq9LIAgkEgmOHj1Ku93m4OCAdrtNs9mk1WqFicPA9vY2S8tHyGazZLNZJFXhrbfe4tr169iuR7YwSWGyhO2BohmsHD2OG4iIqo6o6swtLqNFosRjSeyhiyJrGJE4sqSiawZRI47rBAiCiGc7tFut+75HD8UMSiBACHymlk7Q2P87Suou8/o27/ROIeFxKvM+27UCfvBPrdcB8/kyQ9ulXK0xWch/8Bx+bvZ0b4E6vO3ebLwgCBAQIQBJUlBVEHwPXY8yMIcgSrhugCiriJqC4LkcWV0mmUmNscCqFB5eTZG406xT74QqXifwMDsd/MDna69+n64f5+RyQL3tUWn+8rqoVEzkqVMx4p97BuEBwhLEo0e4c/kGpuvRGQzw/IBMOsOzz36G1aPHQJLp95tcuXiRVqNFQovguy7e0GJqZppGu8Xbb/0M1x6G2+2FAj/67rcZDofjsFN51GuSRRHbsijk8mxsbfLqj9/k2MvH0WOfLHYVBIFjLx3j2//y27z//vtMFYscHBzQrDdwrSG5TBbDMGh3O9iOjaxrrG+uszQzwzd/8D2++JXjyPLHn1dv/WSbteVl0uk0uq6H6vnBANu2KZVKbG9vs7a6NqZZTk5OAlCtVllZWRlHQu3duU1hcoLCxEQohahVMU2TVqvFiRMnCPqgygq90fFvt8OE5Fqthq7reJ5HPp9Hjei0Om0iUYN2uz1mpbdbbYx4jNxo5h6LJ3j30nvEYkmmpqawXRdHkHAJUBWV7YMqnb6Focgk0hkCP2Biahqt2cSyLAaDAY+cPM37V94nno6TMO5vpH8oZlASCooURc0fQRAlliN3ebd3AtOP0PNjtLwkCxN7/+THKabrpAoys589yTe+823wPfA9hMBHJkD0XaTAQwpCYZ4vhGFYgSiAKOARhOhdATwCBBE8b4iqSmiagqbI5HNZ8DyswYDKwQG2adGpN5FFCdNyiSfzxNN5jGQGQVMx4gauY3Pu6ec4vnYc3/EQkBBEid5gyMWrt3m3scLV3lFeOBujmP3l+nDZpMgXn00QfeEcUu4Xbzb4poV/4w69fg9pUmLtxXlOfH6R2ILMf/zmX/M//y//U5jmsrFJp1olE4uiiOC7Dpl0ErPfZTjo41kWuB4LM7MErgueRyaRxLcd3KFNMhpD8ANmZ2aIRaNsbW5wZ/0ufcuiuDr5QK9NlERmT83y3R98j/cunMc0uxhRjVQ2gSc4+KKHIAcYUY29nU2GgzCyvDRZ5Jt/8x7+x+CPr1854P1398glUtiOS7PZptsbkM0XcPyAaqPJ9Nw8oiSFSFxBoFarsb+/Ty6XG2N4Nzc3CYKASNSg0+ui6BpGLEogCii6RjQRJ53NMLTD1OBkMkkqlWJzc5PFxUWOHz+OYRjEYjE6zRaNWoNcKsvO9i6WOUSWFArZPJqiEYlEsSyb9fW7zM7MUKlWsCwTWRIZ9PvE4zHS6RSKIlOaLpGdmMSIJ4nE4yi6ztD1CCSJxeVl2v0+U9OzSIJKIN5f3vNQ0AxE1wHPxfUdDm7+jCAQqLk5LD/89Gx7CVYTdxkMNUz709tHAGL6gJPzW5z4/WdIzhfYu3Cbqfwk8ViCAGFUjIRwVoSAKEs4zhAIld1B4I/8s0E44wMEUSIQZQJBxPUhlc5gJFO8//5lDg7KRIww3UVXVTzXx3YdRFnGtR0iuo6uq3TrVc6/+Qa9aoPy/gEB4AU+xakpLt28yzs7OlU7i+lH6HoJzs52ieoilYbzQFhxUYDTazpPnY6RePlplPlfnDfomxb2P3yP1bUcn//Dc5SWCySyUeKZKPnpNCuPzWKkNf7mz76J3emSNCJIgoDrOthOCOlvt9t4rkMsaiAJEuZgQLfTJZlIIgoC5mCAJIghktkPqDXqRCIRer0eW+UqajHO1Non73zeO2RdZvO9bV544iyarlKcLKBGdHqdFulMir3dXfrdDp5rE9gOju1idrrcuLXH2+c3ULUQw3yw3+HVV67x2ndv8yf/7J8Ri0aZn5+nVq9z9+5djh0/Tq1epzQ9jTUc4nguqqaxf7CPoql4gY+iqaSzGRAFZFVhYrKA57moiozr2AytAb7rcHRtlaFlEtF1dra2CHyfiUKBjY0NotFw1pJIJCiXy5TLZURRJGbE0FSNVCJJcWISQ49gmaGMIV8ssr25iSiGcVOObYfJyt0unuvie17Ym1MVotEoghhavEzTRI9E6HQ7IULGtkEQaHe6RI04sViCbKn08NIMRNFHFEBTFOZOPsfWe69z0rjMhf4pJpQqRbXC1cEqx0vXubk3TbVzf0byx41EpM+ZpbusfPlRjBFdIHdqnrcvv09xqhTGZgc+BAK+IIRlKvARRhYHMQjwPR9FUcLlngCKKOELYmjkFUOAvodIo9bAdn3USJRkJoskCKhqWPRszyNwQ2yHiE/zoMat65eJGUZ4Yusa9VaLRCqJoqpcv3OXrcGp8etoOSnOtx9jOX+L355qcnvHZn13SKvnf0SGkIyKLJRUVmdV5GSUxG+8hGj8YuwLgPvmW6w8MskTXzj2sb8XBIHZ1Ule/IPH+P5fvkUxn0EcaYV832do2wijfoooivT75igSSsceRY8bRpSAgF6/HxIePY+h6yDKElokgqV/OhW9rCk4rks2k6XRbqFJCu1eE7M3wOz1yaRSBK6H63oM+n1q9SapZIJ//kd/yGs/fp0Lb1SpVK+hqSqFdIbPPf0kcSNCKj3Fwf4+siyxsDBPEPhkMmmq1Qq6phOPx7h9+xZ6JDKKMPfJ5rI4rjPKRxRQFYWhZbrhXzUAACAASURBVCJrGoamYfX7xCIGthUacQU/AN9nYnKCZrNJr9cbR5mVy+VxMsva2hqtVodKpYIsy+MNlVQqRa/Xo1GpkM/n0TQVw4iMo9AC3x8nXBcKhZHotIbneWHgQyRCuVxmeXkZadTMD5fejI3y933fP9VR+v/pGAoesgyiF7CwcJxiPM5PX/8WT8QuYvoaZSfHrLbDu4MTPFK8Sjbe4c5BCecTjMEAouCzOHnATKHJ6q8/RnqpOP5dYibH7pVLCIGPzyjjDhARR9E7LpqiIo4+ZQDwAwI/PGCqqmI5PhD2pERBpNft4rhDZElA01RUUcAPPCRFQVUUdAQatRrVvQMGZg/ftglchyCAoexjmxazS4uUZmao1uv4KAz9D88Y3UDhWv8YEdFkqrDHZ0s1dMmhY4bUA0mEhAG2J1F3MtwxE6wlywiRB5t5+p0efqXG2a9+7hf+bXEhR+nIBNvVBpIso8gKpmWhahqqphNNJOi028wtLLK5uQmShKrpeEG4dM7l8uzs7mK7Hul8jv1KBUWRSWbS1Nr7D/R8D4dt2gjA1es3USUBq9dH0zQmsjk0Qabe6fH4uXPcvH6dYQCyqnL8kUdwHIcvvPgC/UG4HGu12szMTIcCyNwEly9epDg5STIV9o9qBwekEwk8e4giy9y8fZNjx4/R6XZDFfiRBSAs4hPpIgd7e+FmiutgdjtYQ4t6pUK/36fTiKPrOvvbXYIgBOId9jk1TaPX61Eul5mcnGRxcZHhcDh2MaTTadITE1T39hhaFrFYmEOo6zrxeJSNjY3wfHEc2u32WGRsWRadTodyuTzOaLQsi7m5uXH/qVKphP2zWBxRkP4zzWCoRjAJ0AOQJIjljvD4s7/HOz/9OortkBA6xOUBPS/K+d5jLOl3ObdylVonSbWTomtGsF0FEJAll7g+oJDuMJlqkpwrsPzFl1GjH75ARVkKT4bARJGUcP0tgCwKmMMhluWQzWRAlvEcB1EW8IIAQRYREPBEAVH2UAMXz3cRAwFR8NE1icx0IZxJdGq4BCTSizTqVTqtJvl0hla9TCwaxbSdkd9PQIwYxNMZiqUZZFWj1uwwCO7vgTL9CHcGS9xhCUlwiUomouDjuwKDZiSM4AIgYNHawzuoIhcLv/BYuLfucOT0NLLyYL2u1SdmeeNvLrE4O0N30CcaDbfPJVkmmkjRt4Y0uz0CUaLZ7XHsxElu3LiBbdv4okSnP2CpWMQXAs6cOUssFuOgXOGNP7+I53hID/g8dt7bZiqbo9FsoeLTFBrIshxGTEXDiPjzb/4Ey7LClBZD58Lb59FHdpHD4It8LoNjD3HsIYE1wFBkcukUb114m9WVFc6fPx/2Jz0fyzQpTJfIpFNUK2V6vR4z0yVc30eVJDzHJpNO8YNvf5tgFK6haRq2bROLxSjkspQWFvBMk4uX3ieRSVEqlWg2mySTSa5cucLq6iq1Wo3t7W2OHDnCO++8M8b4Xrt0iXK5TDweJ5vN0u/3mZ+fp1Kp4jgO8XicbrcbUiFUFVEUSafTWJZFrVZjfn6e9fV1EokE2WyWg4MDbt68ydraWshdV1UCLyCZvD/T7KEoUC46niAgCy6u4OFKCsbsIzw+uczu9R+yffl1PF/gM4k36boxTF+nbqdJxHpkY20k0UcURmscUURLp8gs5Zg89Sh68uN3IOz+EE1TGQxdas06e5UaB+UK++UDBgMTWVYYjtS4qqajaTq6HoLQdD2CrunomkIiGiEei2LoEVRZRFVk4oaGJIoEooSAxI3rtzB7PVKJGDeuXSOdSuEMbVKZDL2BSSqbI5cPUzgUSUEUJTqdDrb7YHskXiDTce9nAxLYaBfR3nyX+G++iCB/8ikltDsUjz5476cwk6HbHeAGPkY8jqbrlEolJEkKvYq+jywGFGemSSQS1NstijPT2LYdKsfPPUEsFmN/f2+ssJYlkanJAttXdpg/PfcLn4Nru+xe2eUrLzyPIklMpBLjpJNDXVJpZKoNj6cWxoUJAr1Oh3g0immaBJ5Ht90Ogy09j6vvXUFRFG7euEGhUOD8T37KmTNnaI/EqbIs0x70uPDT8wztIVOlEreuXmdufo6N/QMGgz4HBwcokkwgqwSCgGW7gIhluxxUaqxvbI3U5SEQ8datW7RaIdzuMIzzMNh0c3OTyclJZFmmXq+TSCSYn58fBx1ks1mazSaiKIz5VACRSITBYEAmk6HT7Y5xKuHfihjRKLV6PbQPLS8TBAHxeBwCcOwwCOR+46EoUGIAICAGIRvZF6DvuviCQPHYk3TLd5ifnmJ7awe5XiEZ9DlkkItCQIDE1NkFps6tIOvqfQWIQRAw7Azo7TfZ++l1xKHPn/67vyCVSpHN5ZmYmmXlxKNouoHligiizNAysUwT33OxbQt7aOE4Q0x7SLvX4qBcxnPD31mmydAORZaqovDsk+c4ffIU8biCLmthIRUlokYMR7axvYBkLo+qRYhFo9iKQtQwEGSJdCqFLP5qaAa71iSZehfxH39E9AvPISifYLr2P11e4PhvBZFMNhvmxKXTaKpGf9BnYrJILleg1+uRTCYpV6osLy/T6XSwLItYPEGz2WTQHzDoDUjGk0yWZnjuscf56299i+x0hnju/h5M3/d55+vvsHbkCBP5CYbDkI8ei4esKGtokUqnKUxM0O60qdXrBA4EYnjhJpNJdF2j3+8jiofJLB6dTpuIFsHsm2iKQr1WRVVVAt9jaJp0u10KEwUcy0KRZXpDi/2dHSD0lPq+FwojAz9kMUlyqMgfzS79IMB2XBBCYobtOAwbjTH0LplMjikCuVyObrc7onWG8oNEIjFOCT50OxymHSuKNEbEHHpODyPbJVlGEARSqRSdTodCoYDveVTKZTKZzDgJRhRFBv0BBMJ/LlCKH0AQoAQ2ouDiCoCihReL2affrvHMV77EYH6GZq0ahh54LqqiEolo1AZDLla3UCIfFl96tkPvoElvv0FvP/yOANFCCqvV57FnXiaZK+ALCkgKA8um5skIVqjAFQMRlDgo8fBTDrj3EWRCDZdtWUiigK7K4DtENY3hoMuPvvcK3aHPi088HVpLfIe2FuHy+ga27aBHImjRKGsrayQTSSzTxLEd2vU6k7k8MeX+a/9PNwQuN5fJahexvvYq0vFllCMLCNoH4s/A9XA3tvHqLZrlJHNHi59wfx+MdrVLNBrhyPLyWP/jOC6iKNFshgV84cgq779/GdM0+eKXvsTFd96h0+ngui5LS0dwXY9b166xtrzCpYvvhvFTzSZPnjjJj//sdU5/+RTFleJHCmev3uP9V9+Hns+pZ1eRNTWE6PWa1Mplnn76ad544w32Kwds7myRz+fRjZBG+fTTTzF0XX78wx/S6cDMzDS1Wg1VVSmVSrTbbSp75XGRMKSQS/7uxYthIKimsXH3LrIi49o2MT0yjiDzbZtutzuGICIpDH3wvbDBfpgI43mhybzZbIYBoU5Ib33iiSfY3dvDcZzxjAkglUohSeFjV0eE0ENjcTQaDWPKBgMEgXHc1CFs7tSZM5T398kXi+HfjWib4khEOjk5SbVaHc+2QsW5hDPa8LjvmfUwxE5Jfrh17wvgiCKBAPguOEPc8joHd6/x1IkT6EJANp3E9xwajRqO66BoGsWZOf6vf/9XzLx8ilgxw85PrtPdqzNs9YkWUsSKaWLFDLFiBiWqc+uVt1BJsfToy0CIowp8kCSZgAA/8EP90yccmMMhAEJw+D1AEgR8x0UAZNHn0g//lnQsTs8acFArIwQB/dwkjh5FADTbJNaosLy4wPNnzzJVLKJFIvQ6Hf7X/+NPea1yBjv4p6vIBXxenHibJ08d56DZYGdvHymbQtA0cF3cWoN0MslMJsPN3S1+5797KQT5/YLx01feJyVkeeqJsxSnphgOBrQaLQLfp1IJiY17+2WCIOxlyLJMIpEYix6jo9SVy1euIAoCrXZ7HE6xsrLC+t1NXv3xD2l1O0yfnCGS0PEcj/p6ncZegxOrqzz96FlCQo5Iu91GkT8goPq+j23bI3LlAM/z6Pf7xKPhxRuLxcZZhqZpkkqlGA6HlCtVqt0e+/VGmAwty5QyWY4tzePYNpIojoIUwn5UEARje8vhOHxcX1HRE0kMPcLU1BTdbpdUMonveeOdPDWiI8kyrufS6/bYH1EMRFHEsYbE4yGn3RfC11YqlcYSBEmSSCaT1Ot18vk81WqV1Cjw9LDfZRgGGxsbzM6G4Dx7OAxpm9EojUYDRVFI5XLUDg5CTEsQ0O/38QXQdZ0jp8587MnwUMygQqtLQCCEDegAn3DT3ufunausLi8zPTOLJkIiqnPrzi0ub25T7/XwgdTGDqsLi1z5x4v4QkDh5DxLXzyLkUt+KJTTNW1uvfIWfk9k7tmX8IV7GrAiI8uywKfRxwaH/xIQ+usCEEakhGZtj86gT7NeJhBFqqunac8u4/8cSUF0bPa2b3P9a99gPp/l3MlTnHjkOMtLS9zuVbjbn/6l3td7R15tkIzHmchlmMpnOTEzjaBpOL5HLp8jZhhIAtgDi7sHe9x5d5vlRz8Zttdt9rnz3i7/4k9eJKLrVA/KOEMbf7Q7JAZw6+ZNVo4eRwD29/dZPnqUq++9RzKRoFar8cQzz3D7ylUgIBKNcuLUSeLRGNvb2wwGA+anS3zhqWfYr1TY2t/HqQ6IGlFeOHkO6ZFQ+jE5MTHuz+RyOQb9sI+USCRYX18PLSqeRyQSQRv59eJGlHgsbBhn0pEQMJcpYDs2Nzd2+dnlq8yt5HnyyysYMY1Bb8iVt7b56+++xqmleY4tztPr9UglQ279YXjrISv8sCmtqipoOtFodJydV61WkbNZHN/n4OCA5eVl9soH42y6qckiiqKEp5XvY/YH7O3tkUgk8DyXQqFAs9mkXC5TKpXQdZ1Wq8Xk5CSNRoMgCEZZjeFyMZFIsLW1NS6eh9gV2xpSr9fxfZ90Oo1jmmOPoeu6xOIxhFGRv994KApUcHiBhz8hBCALsP7eGzhDi6WFJQIBDupVvvX6FW6t3yWxXMJYWUJUJHrmkO13buPYNrKm0ri+h6KHS0RRlnAGQ2pXd2jc3iM7d4y5Z59H/Birx72z1Q89pfuMw9nTh+5DDMFirfIm1958BVcAM1cEUSBWO6A1v/qR+/EVlebiMVqzy1gXXsO5eJG1tRUeP3Wcm+t/z/Zg8kMYmk87BALW0nucPrqKIoWc6iNzs2F6LwHZfI7BYMCdW7dxTIvlYpELr15H0RTmj3/8Uq/T6POdP/sZL33mWSZyefSITrPeoHpQRlNVuu3OeIYkKTKtZhPX87AtE0EQyGayeLbD9q3bbN7dYPXEMdqdDrFYjFq1xs7ODmcffZRauUIymaRQKHDy+PEQP5LL0e10uHTpEouLi+MkFcdxQjICIqIoo+sGnhf2/WRZRZZVbNul1xvgjZrV6XSaaNRgc3OLQmGSH58/z6U7t/iD//ZZMoUP974Wj07QqHT523/9Uzw/YG1+lkwuT7PZDBNdRudP4PtIioqPgKxqqIaBruthD2v0N5IkYbrueAbZaDYRJZHS9PQ4yTcWi9Hr9cIiPAr5mCtOIoriCNFiUJyaYmd7G0mSwveuVhsbgt1RsEMQBNi2PQ5zMAwDZSQYPizk/X6ffD6P4zhj03OxWKTean7EPH/veCiU5EKIMzjUZ4Nnc/P1v8O1Bpx75gXWFmZotxv8x797BXc6xfSvnSOxPI2eTaClYrSubWJ3+kz/2jm8gQ0WSLZO5eom9Wu79Ha6RFOLLDzx66Rn1pCEe2M+Pxj34lSEX+ILwk+nbqvC1de/hhuAmcqzc+5FOlMLROv7ZO5eozs5SyB9TMERJVpT84hbd/C6Hb785S9z9/ZtBp19ytZH0SgPOhajO5yc1Xj82CqyJGFEIvS7PRzPY2l1heFwyI0bN5AkiVQ8EeI7Zmb4wXfeZvtGGVWXiUQ1Aj+gWe5w8fs3OP+tK3z2qWf5/GdfCH1vjkutXEVTVHzXw3Ucjq6ukUmnMRIJ6s0mc/Nz7GxvM+j2aNUbrN9ZZ9DtElFUOoM+RjRKPB7n8vuXOXfu3Pg4VCoVIGyIB0GAYRhsbW2xtrZGJBLBdV36/T79fp9KpRIuTQWBXq9Hu9NBUVRyo4gmVVUxolGSyQyiJKNHDHp9E0GUMIcO3/j+9/jd//rpjxSnwxGJaiysFfjhd66wPFMimUrRbLZwXDecOWkauhEhkUiMkn/yTJamiYyWWUPLwjAMWs0muqbTajbZ29sjmUoxOzfLYDCg024zOTmJOJrpuKPmd6/XIzsyLfd6PTKZDJZlsbm5iaqq1Ot1otEo09PT7O/vj9+vQ86U67ph/PtwiDkYQBCEs8kRFeEwwbnT6QCwt79Pq90O0S/zCw+vkjw43AjCR/Bcrv/4G2iqxme+9FvkDZler8lff+PrpM+tkn5k4cP/GwQ0r2yw8tUvIBs60akce995B7tjc+rFPyQQwgWkJ4S9rYDgvlOjDxmEH+B5C4Q7kME9ryEIAm5f+G6YCiPA3tnnYLTLsn/qGQpX32buJ6+yfe5lXN346J2KIhunn0N/7ev8xhc/z+riNHe3d+g6O7/UUq+g1lhOHHBm6SyqJCJrKoqqEi9MYMRjDHo9JFWh2+0SeD6WquF5HqeOHydwfbrDIVdfv8OP/9O7BH5AJKLz+Jkz/Mn/8NXQ2d8fUD0oM1Us0qjV0DWNRCzOTHGKve0djh4/zsV3LhIxDC5feo92o4kiyaSSSfL5PPlcDkkUaQx6FArhbp9t28iqiiKKXL70Ht1ul1KpxJ07d8jlcrRaIXL37t27oTwgCNBH5EvDMJhbXGJ7OwyDKBTDXDfNiGLEE2GMVa9Ho1Inlcrgui65XAHTNDl/6SKLRyfI5O+vPwPIFOLMHMlxe+cAI55CVDWi0dgoiTeCIAgU8mE6kCTLdHp9REUOVdl++Fwty6Lb6TAcDhFFkVwuhyiEceae52FZFtlMBn+kAh8OhyiKgiRJ42Wb7/vs7OwwNzeHaZrjnbr19fWx4TiRSBCJRGi329Tr9XH81KDfR0SgUqnQHYlMrZHg81C24LouS8tHaD3sNINACAjwIRARPA/XGnBkcYG54gSS3eHdd66jFtMfKU4Aw0YXOaKNI54EQWDqpTPc/n+/S7e+j5EtggACn44C8CAb7UIwWuKFmQ/4ApjdJr12g6aeQcrE8dV79v0Egcqxx8jevszcm//IxtNfwtM/aj/xNJ12dpL/58//gtNHV/jj3/11/u+/+iaGbHG9vYDHLxYvCvgsRHdZiu/z0mOnSMWiNBsNstksZr/PYGBhmAP2DvZxPBdN03jy2Sd544evMTExwbVr11haWaZWq1GanECSZSYnJvAJRsbVJo1qjXq9iue6tBtN7OGQeMSg02xh9vr0ej3eu3gRs28iuj79dnusOcoV8lSqVYaeiyLIYfyRFy43nn/+eX765pvouo7jOBSLRbrdLtlsliAI6PV6Y+ZSPB4fiRMrZLNZBEGg0+6iqTqNepNUKoUgCDQa4Yxl0A93Rh3XoVIrs7q6SrvdJpNLc2v7Lo++/GAfAscfn+bCtzfJZDPImoYgCGFD3A+lMp4A1nAI9hAvCIipBoIg0G62sG0by7JIJVMMen2OHz9OpV5DVhQUTcUeZfodWlpUVaVQKFCpVMbWE00LpRGyLBONRqnX68zMzOA4IePp0MtnWRatVviYqVQqjKofDEIQnaKOC2AkEhn30jRNQ1VV2p02giCwu7vL0cc+/n14OArU6LsISLLMo8//Fjff/g7/4c/+FS89/xw/vfAOuc8/+rH/ax40iEx82J0vSCLpk/Ps3bnISmaSQAgQGRVBQEDiFzXCH6hAHX4PybSIAezeeBvB94g7XfYXPnpUlX6XaH0fX1YQPmFtX188zsa7P+KP/uB3CRyLf/Ff/CavfPcNCtsXudktcWAWPrZQCfjktTpHk3sU0xovnHkSWRBIxsP+hGNbYQR2KkvXDGFsE8VJlpaWuH4t5Fb3ej3mFxcZuC6CIiOLIrlMlq2tLSzTZGNnl63KPvuVOoIgIMsiC8Uip1ZWMSIGaiKJLEkoYmgSjioaGhJyEML9RTGcKcwvLRKJRjEHfUx7GF6E5TK3btxk6cgRhCBAlWS63S6tVgtd10mn00iSxNLSEuVyGdM0EUUxJEtGQpytkUhQ2amGSy5dw3VdkqnU2D7S7XZx7SEL8/P0+l0EEXr9Lt1eDyP+yRC7w2HENSzbJpnJETGMUFYQgKpptFotIkYMRQXTDOOcDntCu7u7pFKpMJeuXObEiRPUajXiiQSe74MQFh/HCaPNJVFCkiR2d3eZmJgYSw4O5QCpVIrt7e1x38j3fRKJBHt7eyFmZqSSj8fjZDKZkLwAqEqY2weQyWTGWirP88Y7eMvLK/i+z8rK/Zn6D0WBEoKwixOMLnlZ1Vk9/SzrV8/zjb97BVcUiEx+PCLELDeITH7UPJw6Ps/Nn/4D3hkHSVEIF3fhQRhltHzyCB6sSH3wGsIiVd+9TTVaJGeWsZL39I18j+ydK2TWr1E/8giNhaPjpd/Hvq5UDts08b3QbT60hrxw9gRPn4bXLrzP9t55bCFB3TKwHBFVCsgaJhGhSyGT4YXHn8KQRVqtNsXpGW7evIkRNWg0WiRTKbr9Pptbm8QMg+niFBt31qlVa+AFrK6soWoqV69cpjRVYm93l1wux9C2eePdi1i+ybkXFzl68nFkRaLTMnn3J1u88vqPeO70GZ597Akc2x6l4ojEozEazRapdBojEUNSFQrFSfR4HMceomgKZn8QLvUaDY4cORLSHC5e5JHTp2l32rijEIFkNsvG7dvjC/RQMX3I8hYEgWYzbOzmR3IFwzBC+8hIQqAoCgQelh32gzzPo9vtomkqZu/+osQPHZ+eja6qBEEoY+h2u2M9EsBgMGA4DBEqsvoBeVPXdbLZLO1Wi0gkgh8EmEOLbCFPp9tF1bRxY/twlnT4lcvnaIwSXg4b7uJI7pDJZKhUKmM88KEa/DDp+JDSGgRByNdXldBPalljOQOEMy5ZlpmcmiLwfRqt5pi6+XHjISlQobzAF0QcUcALJIxEjsde+HUuvvYK2zubDGsd9PxHPUFWrYMxlfvI7bKuIqoqtgNRWSRAxEXDFSWUYIj0C5Z8Yb/qQZ78h3+0HY9yqkTaaY5v05tVpi69iW3EuPvcl3GNT+5xhPcr4IkSrVaToWVh+yKSGiXienz20VMkXnqeaqvF3sEB4mgHa2Z6irmpIjFV4dKVK1iKQSSbxdcNctPzFPMFhqZJp9/FSCdYEOdJagaNzQOcVoegNyQ/O03PtKgfHHDsxHHu3LnNkdUlLl26yO3tbfQU/P5XnxnTRAESqQif+dIqxx8r8Zd/+lP0eJyVpSVMUSA+kaMwMU3W89E0FdsZghAQSaawel12d3aQpBB10ut0sQYmdTe80ItTU9TKZS6+9x4zMzMEwGAUg769vY2maczOzrK3t4eiKGNkcL0ZFrlOp4NlDtDUJOlUEmvQx7GHRHSNhGHgDl16Tm/cv1kqzXLtwg5zK/n7H5fRuHZhh7WlFSzLJqmHceWKoqKqGkEAnueTTKZGlh4f2xrS6XTCnbF6nYWFsF2xtbWFbdsMh0Ms08RzXeRRn6nRaGDbNoIsMTUzjTkc0mt3wh5Wf4AiSlQPyszMzNDv98e9pn6/TzaVRldUZEGkXqmGHjwzLMiIEuu37+COItQajQb5fH4s+jxx4gSe69Ltdul3ukiJxH3fh4cCWCeMSsHhtR4IIg4Srb5LpriAlklw9z/9aLQ1/OGRf2KN/R9dordZ/tj79gUIBB8EBwQHEeeekIZf/RDw6SsxRP+DApi9cwUznWPn8RcfrDgd3pfvM7Qsbt+6gaEpCAR0ez0mJycpTZVYmp/nuaee5OnHH+PMI8cpZDOYpsneSGwX0XUWFhZCf5ssU63XQBCYKpUozZSwrAHlWpVWqwmSSDKZGsPRCvkcsiRydHWVRCzO1PQ0Gzu7/OYfPvqh4nTvyOZjfPF3HuH8pXfRNA1JkkgkEuxXDrBsk741QFYVkuk0V955h/LePpqioIoC63fusLOzQyKRYG5+fkSICPP11tbWRunN7viiEkWRTCYzXuIBXLlyhXq9TqlUQhCEUNjo+wyHQ5rNJrVaLSSWOg7pTIZarTb27DmOw6ljx1m/VqZV73/icWnV+ty9XuGps2dRZCXE8Pg+5mCA57oYkQiiINDv9ZBGAbCHCOC9vT2mSyUO9vfZ3dmh1WySSacZDodIUmhglySJer1Oo9FAVVVmZmZIpVJhrJZhUKlUUBQFy7IIgoDd3d2QUT5KHTpc6h1qrxRFwTCMsSH60M4SjUYplUrMzs4ijIzES0tLQDjbq9VqY33X/cZDUaDCRZfP4ZzFR8T2JXwliqcmwAuQozpO+6MnTnx+ktkvP8X2q2/RvrU7vt0b2vi2jahr+ELIPJcYIgU2Dzg3+qWGANhyBMFzkYZhQ7a6dobYwQ6y9eDWFdnsQxCwv71NIZelXq1hDU0Wl4+QSKfY3t5i0OsReOGFoSoKrUaLRr1BxDBCiH4+TBURZQlVUzlz5gyWHcYcvfGjH9Lrd0kkYsQSMWr1Ks1Oi4ODfYaWyXA45NrlKyiyws3rN/jJW29z6twMivrJDfqloxMMrAFbO7sUi0UmJieZP7JAppAlk8+Qnchz+8Z1EtEoeC5mp82NK5eJqBpGJIKuaUQiEVLJJJYdij7brRZTxSLdTncsvDx02IuiSLfbJZfLoaoq6XQaVVXDLflR03w4HJJIJEiPCoGqquzt7hIEAaVSiWw2y9LSEgIBLz/7HF//t2/dt0i16n2+9m/O8+WXPxc6ATQN13YoTZUwIgapZAoBAddx8T0f13FCs7DvYw+HLC4ssLm5ye7u7pg+cMi79zwP0zRJJBIoikKxWCSZTFKp3tdtEwAAIABJREFUVDBNk85o129ycjIMWeh2sW2bqVEAiD1awgmCQKFQGO8GAmNPXr1ep1arIcsyuVyOWCxGLBYjlQzTZQ5FmtVqFeMe/db9xkNSoMJxb9NYkGTcAIzsNJ7lIqoydvfjT5poKcf8bz3L/mvv0ryyAUDr6hbx0hEE+dAY64/0Vr880/uBXoOsIgUeB/FZUpu3ALBjSVpzK0xcfeuB7ye5eWs0pQzwHBfDiFAoFDCMcDeo2WoRBEFoZB7txLi2jTMcYkQNZC3cyXF9D90wkGSZze1tGvUGlmXi2Q5BEDCwTEx7SC6fI51JM1MqkU1nUGWFubm50CPmeTTaLeaWf7EWSxQFZpey1EbLE9McMDAHRIxImGQSBKwsL1OvVamVy9y+cYvYSBekqqHRu1ouIwgC01NTRKPRMGrctul0OtRqNVKp1Fh8GE8kcF2X7e3tUCoxuthjsRiqqo61P/fGiAVBwGAwYHJycqz/Ofy7586d4/PPfZZ//7+/zrf/6hJbt2vUDjps3a7yj//hIn/xL3/M2WMnOTFqHB9abA6DXQeDwZi9FIvFkCSJfr+PZVnjxJZWq0U8HqdQKBCJRMYm30OJwmFvTZZlWq0w6UVRlFC5PnrtnU4H3/fJ5XIoijLuLx0WZHFsxQn7VZqmjWdNkUgkVKoLwvjxBEEgMuKhHxJRdV0nn8+T+IQl3kPRg7q3kRMu9wK80RJJkDUmFk9T2X4XpzO47z1ECikWfvszbHztdVzLpnV5k9mzvzmq8GETXgzur4H6VQ0jkSVp1dlKLHF28w3qy4+AIFJbPsHia98kWtmlX/j4lNbx8H3SmzfRNB08F9GXSSUSRIwIrV6X9Tt3mCxMoGoq5sAkFo0i+pAuxVFUhWYz3F2LJxMcMVaQZRXf8Wg3mswvLtDvdxECm067TdP1EASRgWUhInF29nH6gwHJaBTbd6jXGggII6Pug20bCEK4RCgUwkw92XXBDxhaFtfff59+p82g30MMAiSJsKktSlT2D+jqEVRVoVmtU6/XcF0P13Mxuz2MaJSjR4/S6XTG9M7bt25Rr9c5c+YMiqKQTCaxHJtKpcLk5CSxWIxkMkm320VV1bFJ+TB5JT5KNgYoFAoMh0OeevQsi9MzvHXpEm+/epd+v4+uaSzOzPHlP/414rEYlmWRz+dxHZduu41tmiiShDSiFVj9Pm3TYjDok0wladUbxONxdqpbTOYKZLNZRFGg1+ogI6CoGr7vk81mSSQS4+VeJBIZW00Ol7eKoow5V5mRVio8bfyQWCBJ4+J8cHAQ6p4Gg/GS97AQHjbhe70e+/v7qGoocTicWR3+3jRNcotLH3usH4oC5QviB32oIEDAIxCE8c5YYfEEe9fP0717QPb0/eOStHSc+d/5DHf+/LvosTSJTAnB8xEREAIxDD/4VHtzn37Mrj5K7e3XeH32C5iSQfrONZpHjhNIMgfHn2Dy8nnWn//KxyvJRyNz+zK+IHJiroQqyxRHqJCuaeGLoe5FkET6gwGNWp2haaGrKs1eF0kW8QSf+cUFRElCkyQ0LYKuaEzNzNBvNHHtFL12hJ0gnHkpqoasypw5/Sh7e9tEozGuXrnK7OI8McMgk0ohX7jA9nqDxdVPbiAHQcDuRov5R8PGvaIotBsNrlx8l0QiQa1aDnlLgUfge6TSKQQ/wLQ9zP6A2ekZOp0OjXod3/MhCMimMyiKEmq4RsLM7e3tsfft3Llz9Pt9EqlUiDQRxXCnbMR26nQ6YzU1MJ5VSJJEs9kc93ocx6FSqYRK71aLU2trnFxdpV6voygKExMTYzvJ4W5Zv9dHkRX6vX5YOEVpLGxUVZVBf4DruCzOL4RIFwR0TaPZaJBKpSAIsEwLQRTRRkLP+v/H3pv9ynWe556/Na9V87zniYNIioM1eYiHOLGT+GQ4J51OkJwADfSARl/0ZQPdd/2n9F03kEaCBDknieNMHmTHlmSJkkhKFLm556F2zcOqqjWvvvjWWpJsWXbQiWHHfAECIrXJXbv2rre+732f5/f0+7TbbUzTzBpGJ8H5pqfA9AoYhmF2fet2u5kGajqdcnBwQL1ex/f9bFu3WCxwHAff9zPsbxiGWXSWruuZSHOxWHB2dsbKyo8mW/xCWF3ejyEAsW+LkJOsPAlQFRWigN7eYyRZxmpVkJQfvv0GM4fudx7g9adce+HLWKUmsiS9b0ZGIZb+ddKJf1SZhQrdR6/RMRqcFre5evgqoWHglmv4hRK5/gX6bMK88dGJJeXDR9R238EIXb74/C1Wl5epVKsiuTeKQVKo1moMhkOiMERTVVZXVikWCsznM1RdY+GKcMf9w0Oe7O/x/e+/Tq/bp2Ba5PM59vf3ODvZJ4yEqTRfKAr7yOER89mM2dxme3sLK5/n6//8z/zF3/89kRJyvNfnk1/Y+VjKwcHjHnvv9nnh5i1kReGi3aZ31sZQFXKmgQS0mnVW1lbZ2FzH8VzcIMDQTRqNJhcXF+IU5DiZMrxYLKKqKodHR6iqiuM4NBoN1tfXs4H5wcEBYRAkeqIQQzcyjpEsy5nos1AooKoq9nRKpVIRNpNE1X5xcSFOfYjT1Hw+z1TfOzs79Ho92u12YtoNmUwmjAajzIGwWCwyGUPK9U5PO5PJJNNwpdfMNHrKNE20hB/u+X4ieTDo9/tZAGyv1xOnqeTzpqr1wWCAZVmcnp5SLBazx5Y+j6b5voA5lRWk3rpCoUAQBJlMIT1BFQqFTMIQhiGj0Yjta9d+ca0uH6wYSZyeAOL3G1eltUr/uIzenvPo//oqlRub5DdbSJpK6HjYj06wjzpc2tpmApQbK3hxKJJX4p8MnfKvUZIss3b1Oa4fPODV5c/z6soX+eS7L2OOBwwuP8u8vkT5dJ/etec+9Pe0uU31yQNy56eMzAafLImN5WA0QjMM+oMBfgjrWzt0O11koFlv0O/3yRXydC46OJ7HSrPKwhd2EUmSyOcKhFVx7To7PWE2LXJ+foKpycQxSKpY8cfAyvoqi8WCarVGoVLmT/7LX3E6OOe3/sdP0Vgt83f/z2v8zZ+9zW//4Sc+sklNRgu++qf3eeHGbYJkm6XIMkoYo6kiI65YKhFFAVYuh5R4IpWEAOl5Ls1mg0KxgGHonJ+fs7TUYr5YiC1Vci0D8eJKZzu5ZClgJZiaUrlM4PvIgKwoyLKwcQSez9wWy4dcLsfZ2RmVaoWV1VV2d3fRDYN8oYCqiW3XYDBgZWWFo6OjzCqysrIizL2DgTBCKzKB72OaBoV8XjRHQ1wlNU1FAqb2lEazgeM6zGYzfD+gXC4zm89FRqJpCoKq5+F4LkEQYlkmiixTLpWZTiZIQM6y0GQF9QPp06ZhcrB/IGZQUYznesxmNpquIyG8fBISjuuI73MUi5Si5M0pl8tRqVTwfRHykMvlMsnBaDRC0zT0jwi5TesX4gT1oYuXJHAnMbJoKskvTZE4eXiX/+l//d+4cfkyUW+IfdAmOO6hdqesWwV+4/O/TKvZ5PH+AUtX7oBZwA8DZOl9KcNPo1EVa8vMT95FmfU5LW5zVtikMOqw+d4rFLpnDHauC5X0wsYcdWk+eIPGwzfpU2Zo1LninfGp65ewchb11hJeEOE4PlEQIcegaxrNeoPjkxP8ICCMI+E6lyCMAhRZRGJV601yuTw72zsst1qUcwYHTx4T+i5BFIEk4QUBqqZRb9SZux6N1hK5QpGvf/e7PDp6wu/+L5+lWBWewc1rS9x/5ZD73z8hV9Cp1PMCqbvweeO7h/z1n9zj2cvPsLO+LsR+y8tC4RxDvdEgCEMcd0GxVMZJNoXp5mlra4fBcEA+n2M2s7EsM3uxR1HI2dkplmkRJlC4VGC5tLzMfD7HsiwR8WWaLOYL5rZNr9sjCkLOTk8p5POUiyUq5bK4FiX6olw+T6fbZTAcgCTR6/cYTyYsHAcJGAwGVKtVllZWuLSzg+/7jEYjbNtOqJUSy0tLFItFsf5XxcbOnk7RNA3f94mJuXzliiAHVCoUCgWR1uJ7xMQ4jkM+sQCVSyXqtRqj4VBYk2o1zs/OuXrlKlEYspgvmNkzioUiZ6ciMKFcKom5UULY9DyPVrOFPZ0ikcyuEn1VLpejXq+LLV+icG80Gti2TS6XY2dnh7OzM4bDIa1Wi2KxiGVZlJqtpyeojyvNzBOGAdPZgmqjwa/9yq8S+y7TUY9mvU4sKRyfdXm8t0+uWELVTbxIqGaJovfxKbH0w4yUf+WSFZVbX/hdoq//GXr3Vd5qvMhR6TLL0yOOS5conLSpHB0C4MsGh9Yq49Wb3Oi/RdPrs77cZBFCSVYpl6oUa1W8uQh3IIaLiws6vS6qrmGYJo1GA8M0MUyDXD5HEPrYc4eVldVE+6Ix63U4uTgncObIxISSjB8ErG8I5tNZu0Ot1qDb77O0tMRrb77Nl/7zJ9CM938ENUPlt/6Hz/D4zRO+8beP+Mv/+y6aruDMfbY21vhPv/4Vbj/7LPv7+5RKJU5OTlheXqbf7ojTXCGPbqiMRkPG41GCRklQzMn6fDQaoes6hUKBlZUV3nzzzcyPZ9tzZpMJL774Int7e9Trdc5OhbSkUCiINBlNQ0ZCVRQ8zxMK7EaDJ0+esLq6ytnZGUEQsL61iW4ajMdjZFnm0qVLWdzTaDRisViwsylMuCsrKywWC7oXF9njq9VqmbE3Xy4xmU6pNOu4rlCVG4UcumUydx0uX7mSIVmGwyGqqmbK95TYmTaWarXKO++8g2ma2fPz3HPPJScvP4tCN02TGzdu8MYbb6AoCrZtZ+nHqTzBsiza7faHtpj5fD6zMx0dH3Hr1q1sDre+vs50Os3mXyltc7FYsP7szY/8WX/aoJIKI6gubfC9l7/J53/pl9BNmSCKyRVLeGHE3HEIJQl74VAsN0AW+V6KnLamiEhSP2Bz+bdtUqpu8okv/xHWq39H8+C/EsUxT6o32K/deP+D4piV6QGXRw+x/Dmj+jon9WscSxLm0Yj6mw9ovP42v/3FX8bSVIbDIYv5HDWZcezs7LCytoahaeQLBcIoJJJkao0WLVkmCgPc+YKp3WE27NM9P0MhJohCYllhZXVNbHaQeeGFFzi/6JDLFzk966CZCq2Nyg99XYoqc/2lTa6/tIkz9wj8kPfeOGG859CoVpnP55RKpWzmMZ1O0QwdZEnYOhyHyXRKEIVErkOxmCeMo+yKk8/nuX79Ovv7+3S7XfL5PI7jiBNLLLG+vp7NklIhaK/XE34212U8HqNIYj4ZRRGVSiXD+KYm2GKxiKKpTBPuUrrVkmWZ9c1NcRUtFpnO5gzPzlAUhSdPntBqtVheXsb3fQ4ODsS8SpHp9HssFgvOz8/Z2dmhubxEr9djbE+RNSGQHfT62UyqUCgwHo8zr1wqmVBVlYuLi2zTFgQBhUKBvb09crkctm3TbDS4ceMGruvS6XSyyPXxeMxkMmF9fZ18sUC73ca2bQxLvIEBQoYhgW7ojKcTIetIZmKpqDMMQ2o1sZQIw5BSqcR8/qO3508bVFJxLLN1+/Pc+/qfcnnnClqrhK7ISLEMikq+pCPnywy/813KK5dx/JBYFtcBPVWOx+K6GGeTrX/bUlSNay99iXv/+Cdouo452+WKc4In6+L64k4INZ3TrVv0m1s/tNl7EkVU+8ecfvWfqEYuv/LSC9RqVVrNpsh8W1oCQM/l0KKI0WAgAifsBQt7wsnBPtPxkCub6/S7HeIwFsRPSWwCdV1H1U1UVef8ooM9W1AqabR7XZa3qx/LogYwc0LAt36lwfG9hxSLRfr9PmEYout69sKPZImzizZRFDKdColATOLIdxaYlkmtWGc0GmUso6WlpUwDlM6e1je2yOVynJ6eZokti8Uia4ppvJLvehk3PPWWNZtNlCRctD/oo2NmL75UiOi6LnYykI7jmKP9Az7xiU/geR63b9/m+Pg4ayariUbr0e4ujQT0Jsty1nxs20bXdXRdp9Fo0Kw3ssebnqLS4X0+n2c+n9NsNrNTS0pvuLi4oF6vY5omhUKB5daSoES8/XY2QFdVYahutVrohs7+/j6TmThRrW1uEMcxg8EAezEnXyoymdn4YUCj0WAxm31II5Zu+NIh/Gw2+9ifg18ooebHlSyrWMU6m888z/e+/Q8gy0iKRhhFQimt6Zi5PKPREKMgpsJBEBD/AK70387k8tHV3XubXK7Af/jd/47/43//P/nNT7/IF7br1OIZ4+YGb730H+ktX/5I2UEsywyaW7x55zfYre/wd999hViC5dUV1re3sCoVFr7P3LZxZrOMM31ydMRoOMRdzNBUiV6vm/ClJcJY5Pu5fki706NcLpMvFmjUW6iqSrlWw8znfyIeeVppuOl0OiUIAorFItVqNbOgpCv8tNmYpsny8jKlUok4jgkS31e/38+uNalF4/DwkDAM8TwPz3MzZXTKLzo7O8OyLOr1OtVqlXK5LEBxjQa5XI5arUar1cq0QWJ+NKNcLmeUyXSr1u/3s8d7fHycmW2DIMC27Wwon6auHB8fo2kigGA+mxGFIRftNtPJhMD3mdm2GNZLgpV+cnKCLMvZDMv3hVjW9/3s6wEol8vM5/NsYF0qlRgMBgyHQx49esSjR4+yEE9FUajVahgJ8mWeyAgqlUp2nQMyM7OSNMZ+T2wI0+e/mbzpLRaLbHA+m83odrsfKzN4eoJKKiRGiiXWn3me1//hIa+8+gq/8eUv4ePjBxGqoeB6AdPpGPQchmERuS5yZqNJoXIyP802Vayv0N59i2rRoHN+SOTa7J9f0C6v8OTKp5OlwI8pSeJ48zYS8LXvfI+XPvMpVNNgPhrjuy6Hu7scHR1hGQZz1+XK1atIxKiIphEqCn4QgqQKwJoiY+YNVldXaS2v4LkBXuCzffkysSRxtL/PyP54P9oHa3AxpVwqs7GxkRlfXVeEAdTrdQ6PjgTGgxg/DNDiiP3Dg+RkkzCchgKadnFxQT6f57XXXstY2SAwIL4fcHFxyGAwoFQS8LmbN2+i6zoHBwdZ1HqtVkNVVYJAcK7SBqgoSibg9D0vW6N3Oh3y+TzXrgkcc0oTaNbqPH78mPPzcyqVCjdu3MjMtSmHqdlo4DoupqqxvbaB47qYikacy1MqltANneOjI3RdZ3l5mZOTEyRJ4urVq1nTchxHsNGTq1W32+XmzZsZqSG90gZBQKd9QbVaZbFYoKoq169f5/j4GFmW6XQ6xBJU6jWaiUziNGGZu8l8KwxD7NksI3Om8ykQC4GUn7VYLNjb28uSY35UUuIvxBbvJylZkgUbR5ZYbi3z5L23ePve21y/egVZholt8+DRHsfHx6xdewknktA1XWzwYqFKjySFSJITjdVPpyzLxB2cks9ZRJ5Dq1bm5bff4d7tL4P0Lzsgj0stiud7xNMRwWLBk8e7zG1bbHcWCzRVY3llmcD3MVTQFIkgDHl794CVRoN8sUqp2sT1PDY21imUSuiWhSwrWIUCr732Gs1Gg1s3b/I3X/1Htm8uZde4j6uX/+I+X/78r7K5tpZRBSzLolKpYFkWsiyzurrK8soyO5d2yOdytFpCdDibCea2HMtEUcTa2lp2ffN9n1arheM4YnaTZOilp540CCG1kKRBlZqq8ujRowxJkm7IXNelWq1iWiIkIUJYXlJvWrVaZTQa0e12mc/nlBNPXKoTiuOYTqdDrVYTszVNQ5Fk3MWCarmC73nEYUixUGBnaxtNVel1u0iSjKZrnJycoKoqK6urnJ+dZVKF1dXVDIOSWnVStpXneYxGo0yMqSeG4PQ5SMMS0nmfZeVQNRU/OfWtbW4SxSLWLbXV2LZNqVhElqRMj5WmxqRaqPTqWCwWmc/nrGxvf+QW72mDSkuCiBApjtA1mWtXnyFwF/zN334VRTNYWV6nN5jQvmgz65+ztLwh4qMkmUDSCGSdOGkIP80GRRxRzum8+eq32WzU+M7rb3C/sold/vEx5D9UkoQrKUSP3uZyrYA/m+JOx7j2CJMQXQ6RAw8lclhMx3zrtTf59psPOO8NuP7sHaaxgW+UaGxscenKDoqZxw1ikFUkReXhOw9ZXllj1B+h6hr37r7L5VsrHzuD2H/nnN27p6yU8xwfHTAZD6mUiwS+y9npMW/efR3Jj1FjCBcuegKuw4uYDafUClWq+QqaoZLLWfi+x2QyptO5oFQqMhoNmUzGhGGAJMnMZnM2NzdpNps4jpOlm6RXTFmWkRWF/mBAvpBHkmVczyWKY1zPo1ypJI7+BboqMu1ajQYze4oM5C0LKY4p5vNUqzXa7TbAh0SPadacaZpilmaZqLoYPNcadYFFmc/p9HoYlik8iEkMVnp1SkWYqV5tsZgTBMLI7vvCw2gYOmdnp1QqZWq1KuVyCVlSePDgQQboq1arzGazLLJ8MpnQ7XbodS6olkucHR1xfnLMbDpBkSSm4xGGptJsNHAcYaIuFosMktDQ0WjExYUgg1i5nKBPVCqU6o2nDerHVRSBLIFCROg5NFpLrC0v88qr3+Pk7JzV9R3Wr9zk8TtvYo96lJa2kVWNKImEEvl10Qd06//2JcUhrVqZJ+/cpWBZ3N99wu4znyX6GKvLR1Ycs7F/l7w9RB118ByHKAohDlEUsHQNWQJN1+iObL76vTdwgpBffukFHh0e8fzzn8T1Q6IopF4tocoBve4Fk/GY0aBPFIWMBwNKxQL2ZMztmzd5+Vvfo3M6ZO1KA+UHlPtxHPPk3jnf+vO3+cILz1Es5DOv28nJCWdnZ0wmE6Fd8kNG4zGD4RAvsV3MFwsGwwGz+YzWUgtZkQlD4ZEbDod0Op2MUNBsNsUAWDezk04QBJmcIR1+h2HI6uoq8/k8O2X0+/0MWpfm1ono8F42hAYyJI2iKEyn00SRHXF+fk4+n6der4tAgw/4AFutVhZTng6T01NbusqXE4zJaDTKlgfj8ZhyuUyj0RCzwUhACfP5XPZ1yLKciVM3t7bQVJVOp8NkPCEMQzY2NoiiiNFoxHQ65cqVKxiGwfHxMZIssbq6SqfTyRqZZVmZSXo6nWayhTiORVBqsgVMP3c6e0OSRKz68srTBvXxJRNLcrJxEL46P4wxcyXWti5x0T7lrbuv0lzZpLF5g5Pd+9jDC+rrV4hiKTMhy5DNpH4adfbwNd789tcwTBNNkTmOVM6Wr/6L/53W+WNqvSOGjU0Md4bmO0xmcw4v+tzfO2U4X1ApFXjvpM2333qX527d4VOf+zJKoc79e2+wfe0T3Lh2lZwmkdNl5vaQQa+LM7PxHIfAcbj17A3GwwE7z1xBjUJubF/irbvv8O2v3WM+cYiJsUcLDh9e8I0/e5uzhz2+8tnPUS6WUFWNSqVKIV9kdXWN9bUN1tbWaTSaEIs5R5hQF4ajUaY/mk6nzOdzPN/j8PAI07TI5fLcvn2HarVGqVQGJKrVGsfHJ8zncy4uLjIjbHo9ajQaTCZidZ4Odq9cEb7NlLedbqoAFEVO1N5i7W9ZVhYakKb29np9CoUC6+vreJ5Hu91mNBrRaomQhWazyTxRg6eYlLRS4aOmCXJlypzK5/MZLqXdblOtVhmPx8lJyM5Emzs7O1kT61xc8M477yTCVqEJk2UZ27bZ3NxMqBELBoMBABubG8znM65evcpoNMo2jOkJLooiVlZWhJdwNsN13YwTVSqV0HWdcrks0mMSs/D6pctPhZofV1EsxAGyouGGPpFsoMpgxxExFpef+yLV1WO++/W/plxfJgY6+/fJ15ZpXX6eSBIq7DTk4KdV484JqzvXuHHjNtHghFen+x/5cbo7o9l+IpqwrBAqKrGsEMoqEjHrh2/x7p1fZ5GvYDpTXspHfOZTn0HXVILA59GjR3zt1TdYJDD+m5/8Ze4/2uPe6y9Taa4iGXkCzyWnxnj2kCs3rjKrlilUqhBGzCYTTo/22N3d5d0Hb6HKCoqk8MUXXmTv8JBOZ8LdJ7viBadqfOb6He7cvMFkPkdRlYzD1Ov1qDUFHrjf7zObzSCEWquJrCgMBoMsesm2bSJZYjyfMZyOWFpeZn1jg4cPH1JPxJVb29tous5bb7+NYVoUikVcx2E6nfLcc89lScEpwC21p8iyzN27d8UcLPG4pacCwTgXdIE0ISY91RweHmaDallWs5CBFKebGo7TppOeREqlUjYze/LkSUbELCYv+HR9n6am6LrO1tYWQRCwurqK73vZZlFRFM7Pz7NwiOFwmA3+69UGR0dHbG5uMhqN2NzcxHVdrl+/zrvvvsva2hqj4ZBCUeingiBAlmWKxWK29ZMkKZttffKTn8w0aFEk9GgpImZtfR1FU7Pt5kfVL0T0+U9a8YdMMcJiLMcxchwix2I+5Sxs7FEXHxkjX8Eo1FB0g4x6HsdEPyVfHsCsd8Lea1/j9//4f2Z0+h5/8sY73Lv6WZG1nszElMDj2Tf/DrtYJ9BNpChECQPkKECOQuQwpN/aprcksCAb+3f5XDnHzrXnkWQJXVMJgwCZiKPH93jn7vcA0K08l27+Eiubl1mt5VAWQ9ZqBRaOjaor1Ot1ppMJURix9+QJOcsi9AMRmR0EaPk8WvJuahgGzVaTfKHAe48eEcUxrWaTi6NzlpaE8dkwhO5nsXAwTbGyTk8oKW9p9/Fjtra2aF9cUE62bmIrJmgB4/GYMAjQdF1c0ywLPxCPqdNuE4Uhd+7cyTZX1Wo1C55MwztTOmWlUvlQ/HmqY5rNZui6ytLSkiAMyHJ2PUrpAYLEIFjd4uP1bLuX6oaUJPw1n8+jaRr9fp9+XwgyC4WCEIQqCr2eEHK2WgKz8uDBA2RZzgIOdF0nl7MYj0cfMhWbpohnT7eMt27d4v7bD7LrarfbRVVVYTJOBtvr6+sUinl0Q+f+/fuZhCKXy5HP53FdlyAI0DQdVdWyeVpKi0jNwmEYMl/MIVlGPPvJT3/ki+bpCSop0YwiIRqQFCIU8adSKPjhMUgRaFaBWrFCEErEskb6SNZ9AAAgAElEQVSUKcZjpDhKsuwkop9Sjyo3VinXGhztv4c/6aPNJzQu9rj03j8TaCaebiJHIePqCoeXP/kTyQ4s3yE2llmoRSRiFlEsIrskicqVT/LZnRfZv/t1hhcnlMsVSmrERqOKqZRQYh+rmEdW4PS8LfAihkm13iSfy5HPFzg7PkHXNTavXkZVVHLlEhfn51RqNRaeR7UhfpAPjo9Yqi2hahpWzqJULuMsFljFErEEppUTy40o5N6D++RyOcq1KrKmsroumFivvfYaG+sb5PMFBsMhS60W5+0288WC4+Njbt+5gynLPN7dRZMkGo0GvV6P+Xyeccfv37+Pruusr69nMx1FUTg6OsrwLFEUUSwWhYk5l2N5+f0Yp/F4zPr6OqVSiZ2dHQaDAZIkcXHRxbKsLIvv6OgoawZhGGYNK70eqarKysoK+Xw+0zqluq7V1dXshFkqlajVasxmM46Pj1lZWRE/vwlsLsXI9Ho9HMehWq2ytrbG97//fRRJzfApadyUqqpsb28jyzIPHz4kCH3aF+0MWFev1zMbSyq3ELMyWFtbo1gsZle9dMtn2zZ+4FOt1zNB8EfV0waVlGguwqgiTlLi3StFtcTIyFKEomiEcYwky8m1MP6BLVTET1P/GsUhl2++xHf+4S+QkdA8lzXXob12g/ONZ9G8BUrgMS23fqLmJIcBlf4J5Ze+JJpvDHEcISFn9AfN0Ln9uf/I6Xuvcffbf8VvfOU/Ebp1YlNFVjRy+RK6KVTDV595htATzOkoEMr7SJYoV6sUy1WBLlZUJuMxq+vrDM/ORLT5ZEIxXxDYklKJcqUCsoym68iSxMJxUHWdQbfL/v4ehmly6dIl4jimVK9zenBAu91O4rtXcOYOnudh5nIsLS0xmUxYW18nn89nA+NcYlPp9Xpsbm5mM5RU3zMej9E0LfORraysZLhc0zSZz+f0+33q9XqSQCxn4La0eUmSRLvd5ubNm9i2SGbZ2tri4OAAwzBYXl7OZAiLxSKLgkpz+tIhdy6Xy5Jd0uF8mvSbzqzaCTteDK9n2TyrWBT4m8lkkll1zs7OBE6lUKZaq/H40aOMQtBqtTCSuKs0gTgVlKYnwvl8juM42YnJ9wMsK0cQBPR6PS4uLrJlQ9qs9OR5WSx+NKr6aYPKSnjq3udGhR9y02UnqyiRYSbDUPkDWiMpaWw/3XuxTKQWuPnCF9hYXuLe269zrz9kVFvF1y18/YeDOz+u6p0DCvVVzFxRHBsTAatAl0jEkoIfwdibsf7MdUoFnQf3XufOlR10XafSqAMRg14b2TAxrAK+FhIFAd3+OftPdhmNRtRqDR4+uEerWScIIs6PD5n2e8wXDtOpneiJcpTKVWr1hkDnttsECWmgfXHByeEhQRDSXGpy49lnURM07df+6q9oNpssLy9Tr9eZTCYs5gt03WA8nmAWcgyOxzx76xbOfI6MxLM3nsWeTmkstQjimEe7u9QbDVaTk0F61XE9jzAOmS8c+ocHOPM5iqxg5XIoisLGxgbLS0v0+t3sxZnOXmazGe+++25GJjAMneXlJfb395IZm8b5+Rn5fB5VFR62XM5id3c3a1aFQoFFgofxPDeJfPKya2b6uTRNE5SAZM2fbg4dx8lEl6nhN9WEra2tcdHu4jgLsZWWJbZ3djg42Oei00HThP5MTnDDuq7zzPXruI6Ds1hk17dCoUCtXsdNZmKe67JTvITv+Xi+x8y2MfOWsAotFmJb/CPqaYNKKpJkPnjykX5AyxRLkgiy/MAfSgnTO63wpzh7SiuSFGKjTGHrOezYo7Vzi8LJ32CXfjgq68dWHLF+/oiN57+YfJnJTC6NXUcYZJFiYk1i5ruEirBiRH5EvVYjVmSm9oST40MuXX0Gezqh3x/w+PEu09GYSzvbXH/mKmbOJFcp8P3vv8bF2TlLjQah7yP5AUoQkJMV3MmU5vYOp/tPmE6nHB0doamqaESOi2Ho3Lh5g3bngm77HEVVefjwXWrVCpaps7ayzOnJCa31DUxljOM4vP3mGxg5izvPP8fLL38TwzBxpjZSDEEY8N7jR6iqimFZ3Lx1i9lsRjPJvTs4OkJRFMqNKvlSgVKljGWYLBYLjg8OWV9bYzFf4Lke47FIzd3Y2Miug7dv36bdbmeSgSgKmc9nlErF7Gq3tNT60EzqrbfeSoIFNDzPZTwO0DSNi4t2ktAiM58vMg+fYRgZFC+VHIiNpvgmrqysUCqVspDRxWJBt9ulWCxy9+5dQEgAqrUqC8eh0+1mPPRcPs/UttGkKLP4zGYzwiBgY2MjOwkZhkEsS6i+hx/4OL4QsKq6SlEtUqmJk1kUhhTMXKY0/6h6OiT/Oa9Akom1HJHngr/A1ODRq//I4WTEg5tf/MnV5HHMld1X2Ix8bv3yf/sjxZMSCpEsEUZz1HBGNBvz1tf/mt/80lcYjQc4gYMiS7iLGXnLolLMo8oKhmlQq1S5dv0GWi7HvTfucjocsvt4j72DQ6qVMp977hMQBHjOAss00FQFJwjRDD3bFkVRlKFj8/k8ruMytaeYhpm8QMWfjycT8rlcpgAv5YRKvNFq0h70cUNfzLVKJabjCZqiMrOdLCTgzp07yIZYfoRhyOGTJyyvrHByfMzVZ69gT6YYpkngim1iIZ+n1xHyg5OTE7rdbmYZSa9fd+7cYTwe0263qdfrbGxvM0xOWFEkNFH1ep1KpYJhWbz37rviBOJ52VZPVdXsxJOGPQyHIwqFYhZLnsY4pWEXd+7cwban9Ps91tbWeOeddzJPXIovTpcAppnL1O2pVOODPrpKpcLh4T65XI6TkxOuX78OCNnD/v4+5XJZmKMlCS/wsyVCSuJM+42XWIHiQOB/X/rSrz8dkv97rTAKRfy6IvRbVz75JZyX/ys8+Cbv3vg8kaJ97N+Xoogru6+w7E559lf+8OMpA0ngaCzJoGgY+SK37rzIyfkp88WMhTMnCAOiIMCezyGKef7mM6w0amyub6AYJvfffJuvfeNljs7arK+t8Suf/wLvPnqPf3rlNT57+zalQomcZbCY2RiGDpIQ0OqamuTOBUgSSerMHENRUIiJgwDNshgPhuiGjp3MjHRZYTQYUK9WGfb7KFJMrVJB0zU816VSreDM5mxsrjOfzbl09QooMoGzENHqxSLlSpm5s8AwDQLXw1k4BGEIYYQiywwHQwzDoNfrZVfCdNuXDoePj48zzHA+n2f3vfewLCuLCE+NvZPJhN7eXpaykhITJEnK2Of1el1cdRO2Umr5SWdq6ZyoWCziOA6zmUCapFFSQMbFSj+u3W5TKJbpJSr0UrkkrC2qij2bZbYgz/NRFJdms8nJyUnCgI+zbWwQCO9lPgmUAGG+TofzsiyLxh2GEMUfGzv19AT1c14xEEqxMC3HKWtdXB8evf4Neqf7XCxfpr18Fc/Mf+jvqr5Dq/2E1fYu5UqTG5/5LRTtx3jjYplQglgJkWMPNQoo+C4VJcbUJSIlQpJiCmYORYrZ39vje99/nZxlslRvcHh6xmwx59nrN1nbfoYoFirrSrnMN/7pq0zHQ/7od36HgmUghR4BMaqmAlJyctKS9JGIKAyxp1M8Z0Hg+xkN0/d9yqUSURxj2zZxFKFJAo9y6dpVIlmiUClz1j4XBtujYxq1GtVqQ8gpFIUH9+8zTmY5ErC1tUUYRYRhyJNdcQ30wwBDN0QjkmWsnJWs8WsUCyUM02Rm25nPLn2BpvFV6cbvg7SBcrmMJEnZ7CrNjUv9fqmaPs2Xm06n1Gp1+v1Bxq/KJfMw27ZZWloSpt7TE8IwyIb8rutm9prJZMJisRAJwo5LLsGzVMplVE1jPBpRqVSwZzNGwyH9bkd47WSZ7UuXmE2nnJ2d4XkeWzs7lIpFxqMRQRAwn8/Ftk+Wse0pruuJrWcYoibPraZpfOrXvvKR74pPG9TPfYXIBJDuH+P37/OxJDMbDzh9cp/u4SOcQhVPs4glCd13sCY9qmuXWbv6PIXaR4csfFRFSAQyIIUocUQ+jMjHITIefuwRSRK6ZlE0NUqGRhwF7O094uDggJW1HdY2L9MdTlByBVzPJ4xiDF0ndOccv/ca9njAH/7u75HXJTRVFdxxRSFKjK4kP7NBEIoIqtDD93zCKMzc+b7vo8pKlvNXrwtek+0sQJNZWV1D1XXe+N4r3Hr2Jgd7+zx+/IhCoZA1ABDXu0qlQqPRYHNrizAI8J0Fs/kcTdeY2jau59LpdimWSrSWloiiiKP9IxqNRqasnk6n2cbt4uIi4zT1+30qlUo2YHYch6WlJTRNY7FYZE3IssRQOTURh2GIYRj4vo9l5fCSTWnKUE+vecVikfPz82TA/X6wg6IomagyZYXLmkoYxkySgXraHAeDAXt7e1y7do1ut4s9HhFHEc8884xAMifC1n6/n2m4wjAkSPL4UoV9qoNKLTCWZQnctqZx5/NffNqg/r1Whnv5CHmD+H8Sge8z6Z0SeiJ1Q9VNCvUVNONftuWT45hIAk+RCSQJOQYjkDBjIeQMlJAwlggiGUMKUXwHS9PIWwZzNyCUdWYLH9Ww8AnwowhZ1sRKPvKQ3BHdx2/Q75zzh3/w+5QNMwuvVBWFMPG6Ecf4CV0gjAV7O/WoyYqMoevkklOH53rUG0063a5oCNWKuPrMHdzZHHc64+z4hDAOKFcFz/yZZ54R2F3DwJmJFf3hwYFogIs5fuBjJIkssiLY46qhU6pVKVcqOGMxMB6NRliWlcU3mQlCeTqdZkje9No3HA5FVBQwmUyYz+eZTEDThOgxJRKkyN75fI4sKyiKWN+ndIAgCLImmM+Lk/P+/hNWVlbodrsZ5ylF1zQaDezFHD+IqNSq5HI5zs/Pmc/n2LbNM888w2w2I/ADcf2e2ln4ZhAESRPU3jcoQ5Y4k+qiouQEmtI8HcfJAhNufPqzT2dQ/14rQku0WvBhDVaU7OFCFE2nurLz/+vzfGiriUSMQiRBAHiRgsAey4TIxLJOKAu56yKKiJyAueMTqiqxrCHrOQJvTiSLfWkQhmiShBKrXLr1Isq7d/l///RP+aP/5vfIWzniIETXJRRFFXQEQFNUwjDAcR0h2IxjZAkMRSVfKqPpGo4foADTxYKF79NYWsIwDKI4plSq4io6R90hlpHDjxxIzK3VapUImI/HHOztCc6RbTOZTCjncuiqRhQKcaZpWaxub9G9uMDQdQxdR7Lg+Pg4S/c9OTmh2WxmA3Fh3s1nyOHZbMZwOGR5eZnz83NOT09ptVoUCoXs41MipSzLuK6QGAjMsEEUxRl/3PM8ms2m0H2ZZnLt9bIwhZTEGYZivZ+GeAoYYBlFURiPx5ydnWV6r6OjI7a3t1nM5kwnEybDUaa7sm07i7uq1+uEYch0MslCPsMwFIkvyanJMAwURRHbwUTk+iN/5p6eoH7+68exE4Q/8F/nW5kS2GPILD3vexCTZJvkI4U6H94H+L0Pook/4iGHYUDeNHCdGcQR0+N3ONu9zx/83h9QLeYwNVCTaPkwiglRCCXQdYV8IZds3GIUTUNCIQwjplObIAgxciJEoFIsQRxSr1aJJZmLw312H76LZZo0l9ZZWl2h1+3SaV/Q61ygaSq+62GYuoiZkmVmkpidvPjC87RPjghDn+2NVezpCCMRPY4XAbliiWaziW4YQhg5HjMajdja2qLT6SBJChJy8uKNxJIjinnr7be4efNWsrUMefToERsbGxkNwbbtzLNXKBTwXY8o2ZCluXmpgHJ3dzcz7o4GQ6qVCo7rCmyL51Kr1ThvtxOag45pGBzs7+P7AWEUUiwUMyb5aDQiCANh/vaDLNcvTbtJLT1ps1IUJaMsVKrCB6hqquBHAZHvYmoKsaqz+exzT694T+tnuyRJygiMURShxiHu8Zs8ee8+v/97v89KtUDoTlFVBWSZIJbxwgjTVNDS4b4koag6UST+rTCIk4YaJ/9uyHKziRSJ4NbvfOubGIpKoZijvrwBkjhN5C2LbueCQb9HuVhEkRHiSl1n9eqzNBs1ZrbNG6++gkxMIW8ym0wwDA2QWAQxSKL5pCnBqiouLKlVxSqUKZVLWfz3tWvXMkjc+vo6Dx8+xDKNrMEMBsKAnML00mY0HU9QEk9cykqfz+d4nkcpgeJNxhNypglxjOv76KaBnsykpES+sby8zO7jx/iOS6VSoV6vUygU6HQ6md8PyBTxhUIh2xoCmXcwTh0WCskpTUKTlUwmAhCEIY1amfncxvFjdm4///SK97R+tivdbGX8JS9g9dIdTNPkz//yz/nv//Mfgx9S0FRkWSEOhTVpNlug6wI45zguruth6GZiMxEQOFVViWUJRZZZzGeMhyPs6QTfD5nP5li5HPlCgel8jr2YYeUsmivLrG2t4y4W2LMpLV1FkmUUf8bd774jyBBhQK6Qx54vKNdbaToiNy5f4fz8PPOhXb9+Hc/zMtnAdDrFLBRxPI/tSzvYts18Phebu5xFfzhgtpjTWmpxfHzMZDLhueeeY3d3l+3tbUajUUak9F1PhG4mgsr0GmiaZvb5lleWIRJcpkqlQkTMIsEmr6ysUCyVOD87w3fEPCoNUeh0OhwfH2MYRmazqdfrIhA04ZSnjKf0ewggSULQm8sbQuW+8AhD0bBzZgHHdfj6P7/Gt155hd/59a+wc/ujfyaeNqin9TNT6Ttw+i6r6gYTb0Fj4zrhW6/THozYbNUIogAZsbaXFY0wlli4PoZhUKlUyZnCAxYk27zFbI6azxEHEZohEnULhQLj0QjdEFeUrUuXkRSFfLFAqVzGNAwUVWY+nxFpCnPfZXlrHc/1ePTaaxCDrKqsrSyjGQaO57O2sUkQCnHkyckpYeATWhZXr17lvffeo1GvM09mTbPZjKVCHqtgMZlNMS2D3rCfESy73S7bl7dRYplyWfDYnzx5QqlUyhAusizj+2J7qet6gjgWrPd0HnV+fp7IMkKhBJ9OGU7GWKZJq9VipbWErKrYkylvv/UWrYaA9yHLvPHGG1lUVxpGUS6XxecMw0w8m86X4P1TsKTE+JHLdOrieQGKrFGrteh0+/ztt/6edx89ZKW1zC9//ovo1adm4af1c1Dp0DZ9N47CiFBSWfghS2vb7D55wvpSA03RkKQYQ5ZBEoN6VVUpFoooCXVSkWQUSVi+I12jkBepwWLlDaenp4RhiKrrzKc2tj0Hx8X1fTa2tgTbSNZYJEymGAh8nyDw0TWVGBnP91EUWQQp1OsUikV6vQGyrED8fh7eMLmapbKC09NTLMuiWMzz6uuvc/PmTfL5HJZlMBj0hJetVsHzXGJJvERHoxGFQuH95yb5WnRdR1O1jFeVMpnS5zMdpHe6HWaLObppYBgGpXyBXE7YTDpnZ5yfn9OsN1hbW0OSJI4OD7OEZUVRsCwrG6zHcZw9jrQ+2KjiOCbwA0IiZEVFNxQMo8Arb7zJP337Za5duc5v/trvoFs5Il1j6v3on4mnDepp/cxWjEygqMwDh2Jri/fe+Dq/9qVfJQ4XQIyhq4RxDKpKzrLQNQ1L1wnDiEIhR0Seg0cP8X2fZrOGnaSQtNsdABRFiB2bjRb5YkmwjKSQd956G8dzkWWJWIoJQyE/6CZaJz+IiIkolkosraxgGCb5YhnH99lYWyMIA6bFHCeHR+wdnwBQqVQ4OzrOcC1yDN/65re4/uwNep0Ob7/5Jp/61Kd4/PgxUhxzaXtbhGeeiceazohSokChUMj8d1oSdCCSafyMWJAGZbYvLpjYNtdv3BAK88WCx3tPsHSx4m/U6ty+eQvP85jObO7evZvppdJrZKpkTzdyP/S9ShpT9ouYKIqxchayrHJwesE/fftlvvRrv41mVXB9H1c2mXsyfvyj7VhPG9TT+pmtWIIQjVgKKDU38H2Pbm/A9moDmZggcFFUVSB/Q4hVCcdxkYHHe084PjqgkMuxuryEJMU0lps8fvwIWRbbviAMeeHFlyiVyjiOizMcUsjn0Wp1+oMBjuegqTKVao0wDpBlhX6vh+vHQjmeF2JGJJkH995GVuSMsaRJyodeyClXyXXd95NomkvMphNWV1Y4PjhAjmMCz0WRwJmJ8Mz1tS0KhWIWXR7H8QcEmkJfNZlOUCRx3Uv5UKmlJY5jNFUVqBZNo1QqUSqVRBT7eIJhGMhInBwd0U4QMWbOolgsZjKBD56MPnid+2Cl4DoQ1zxNNpBlBUnSmc4X/OVf/zUvfeaL+GoRX9KIDYOpB6FWJPyYVdzTBvW0fqZLkUIkKSaIYlprO7zz6D1Wl1rIhOiqgSJLSKaBbghzcRSFeNMZE3tKjIRl5ZlM55Qcj9msw3g4AVnh9p3nqNaqqGYOTTcZTM5pbawiyzE1XWd1a41pogU6fLKHZZjEYURMTBBDvlBEkjUevPMeruMSRUGm6QnDGAgpFItUK1Vm8xnnZ+csr67RqNezpGA/dPE9F3s0Ynt9jYPdx6y0WpwfnzAvFWlUKuRNk729PUzTpNlqZX67D8LwcqaFBNkVTNd1YST2fc5PT5lMJsSSRDuJWVdVleFgkFxZA6ajMUEYki8KhEoa4Z42o3SzmjYgWZWRJRkphjhKG5dMFIfEslgkaJpM5IR4QcRf/NVXWdnYQatv4KgmTiA8o4qhQxyhfYz382mDelo/syURE0U+igyj8yMG3XNKeQsvioiDgEqjgmmZoIm1dRSGBJ7H1J7S6XaRk0H2ydEx590upVIRw7LY2NhibXMTIvDCkNnM5rx9Qb11BcMQJxF7NOXi/JxBr48cgYZCHEsQxQQqeJ6fcMBFY0KS0ROf22KxwF045HJ5HNfFtmdYuRxRFCPJCrYthuCBN2cw6qOpKpqu0+/1aLVadC/aTMejhNQpZAcbGxvY0yl6giq2LCtTiEsxeEmuXdpc+v0+tm0zGo0+9OdBEAjscSJTSK+FhmEgq0q2rUtnSkDWpNLfS7JEHEXEEaiKuPp5vi/SuGXRfFLf4suvfQ/X97jziU8z9jVcVGJVE6fjOEaNPz5g5GmDelo/sxUjQazy+NX/wrR/xqXrz/PCc3dEfJIU4/ouk+mIbq+D67rkczkuzts4szm1UhnimEG3h6HpKGYOI19kbecyjUaDYa9HoVRkPBxy7949di5dwh4NeXR2wqDfp1KsMB1PIIKClYNIBHQqkoyuxFQqlWzInEanp5stwzAI88ITaJpmlsbSbDZFkolts3AWEAom0jRhq0uSxOPHj1laWspW94f7T8jli8zGIwaDATs7O9i+R6lY5Pz4EMvKYdszJFnJOObD4TD7+0tLS2JYL8sEUZj5+2RZzh6XLMtZIKoqfXjYDXzoqhpJIp5NUVQURcJ3XKIwxLBEhl8QBxDEuHHM48NT7j14wG/81u8xXHig6gipb0qd/fH8tKcN6mn9zJYUw6R3zLR3xotf/mOqVkytXBTM0jjAD3ysQp7Z3pTxcMhYVvBdoTW6snOJ8/Nz3NmCfC7HrU//EtP5AlVXmdlzasvLuJMxJ0eHhN6Cgq7w3v17gkJpWpyfnNCqN/GTk1KtVhf/7XmoeRPbtjk/P88IAlJiek25TYJ06X4o0KHRaGTolNPTE9rtQaa/KhQKjMZjcvk8jWaTMMmM8xwXTRFZfqYm0z0/JQgCjveeYJgCEXx8eEi51shiqEzT/NCJ54Pzo/Tk9ZHSAElCiuLsOveRw3BAUhS8MEAKI3LJiSsKPII4RJWFKPbJSYevfeObfO5XvoKLhqzreKl9QIp/CAj5o+ppg3paP7MVE3Fy7xtcuf1Z6kWLqhmi42EPpxQKeXRdZW7PKRoWVkOs2dViCVM3OD09ZW9vj+3NLS5dukQQ+iDFjEcjdrY26LfPyVkG88mIjdVlRv0u3myOGosBc7VYJo4iprMZtXqdII6oL4vTSIRYs6f6ojRGSZZlPM/DsiwKuXyS6CtOLOVymcFgIKKwoohut8PK6gqe56AoSmZNGY1GzGYzJpMJQRBw7coV+r0+xWIhO6WFoYi8z+VydC4uMEyRDpMOqtOgBXhfOJmaqVPT7kdJBeI4yTVKr3IfaHJpIGkUhaDIaJoKQcTC88F1ieII3dA5ODnl5e+9gj1zeOEzv4qUbzL1Q9B1Iimh/sfiET1tUE/r57rG7QNCz+GZ67doVAoYwYTYnbO+tYbnuvhRLCwuCfLDdV30QoFcPsdoKHLwmsstgjDEnYwx8nncuY0zn6GpKk8ePcYPAlqtJc7PznAcJztZRHGMomssr66QzxcEt6qYF1aaSERLeZ4n0nER9o8oijAS310aVfVBI2zqT8vy7gIBeLMsodHSdZ0wilgs5piWRT6fww+CpDHEGKaJIivM53PyhTyu4xAjeFofxMP8oKpb/ObDv/9YKOEP1AcjsBRZIYiS9CJZSlDYcHbR4Z+//32mts1LLz5PY/0qI1fDCSJCQJY+yOpPWPfiWfnYz/20QT2tn8mK45jj+9/h8u3n2VjKYykR2A5byw12773FYDxhPHORVBMp8jENgfVYeB7DE0GuvLxziU6C3g1DH29hY6gSZydHvPnmmxi6AZLE4719ep0u165cJY4jFs6CYrmCqut4QQi6RqFYRNN1gjBEXvhomkYci7lUqg2azWYZPuXs7IxOp0OpVMpOM2lopWEYmKZFsVRCUaSs0c0XIqXFME1y+bxAqyBh5ktIssR4MiFGplCpCjGnqmHmh3hBiK4bWSP54Mo/PVGlG8ZU4Jlu5n6SSmO2giBAUhQkxBA8iOC43ea7r7zK1J5y+84LrGxdwg8CLqY+TqwiaQahBGEsJ1FsMTIRIowDnjaop/VzWf3jRxBH3Lp9g6IZsBgPMMMFZ3sP6ZwcEKEgY0Is0VhqommqeCFpKvXE9f//tXfmcVIU5/9/9zH33rucuwvIrSAip4IGBYyIBjTGxCN+jUbTSYzmNGryjf5MjFGTaPwaNe2VGGM88UCNKMYLFUHxAhW5r4UF9j5m5+ju+v3RPb2zy7TFQN4AACAASURBVM3uwqL1fr1gZ7q6q7q6Zz5T9fRTz+NoCpH8HNSQjhNvQXgr8D9fuYoePXoRjsTIKyikvrGR0eMm0lCzHWGnKSwqQg0E0UIBAqqG0DT0SJhgJEw0EMDe7qZWytieMuKUiX9u2zaN3hO3nJwcXzh0XfeSWgYoLCx0g7c57rKRRMKd6jU0NRKLxfzRWEAPY9sQ0kPkFRb7tq2KrVuxbZtwOExRQWHbUDhZBu7sUVNGvLJdBvaGTN4/TdNIWWlsobBpy1YWLnqXhsZGxhw9jpI+/WhOC6rjFkJRsfUIiBBouuueoegIbD92mSrcdZR7kkgpUJKDgiocFGxsxY1l5aAhHBs13cSGj16npnI9Y4+ZQr+YTcXq5VRV11BT20hl5Tbq6htobGryp2NnnfZVSkt7uwkVhIIWCqGoKgnbIRCOogQ0mppbiEUiRHNymXDMsYQiMSzLdv2r+pZRuW0bAS/xQAKdVHOCklgutu2g2AqkHZribsC42ootfoymzCP6TESC8vJyP414JvxJMBCkJelOHwMhz1cpHCKRstH1ANFIDgHdfSIYKskhENBRFNeeJSyHHO9pYXm//lRs3MjWykpKSkr8SJW6l5ggw86cKRVFwRGttqedeYQLoDmZIJYTwUkm0DQFxxGgadhagIQlqG1s4Y0Fb1BXX8eYccdQ0LuchAWVKQVbDSHUIKB6CYEc954qIIQFXt5JNzWbulfp2WS4FclBwRUoB0fREULBQqNm7Qes//B1bCtFNLfAfTKUTpGfn0duXh55+YXk5RcRi8bIieWREw5TtX0LCxe/xXfO/gbBYABN1/GfETkCkfGzSSUQtoXlCHJzc91IoopGJBYjGAhTVVPNlsrNRGNR8vPzUb0FxfF4nFgs5ue4CwaDxFSdTZs2+THCLcsimXRDlJSWlqJpmh+JMhgM+unNI5GI75Zg2zZaMOCPTDKCkS0uQgjCgSDFxcUEg0E++OADUqkUxcXFBAKBNr5K7cWm/XtHCCynda1jps22OOiae5xtuaF6BSoWKtvr47zx5ptU19Qwbtwk+pYfRl08QVPawVY0HD2MLXT3h0Z4scDUvZePC6cNk+FWJN0X4aSp27aR3oNHEQ67KdIHDSijpDBIc7yFVMrGFhrBYJimxmaa02kSVoLSAcPotXYlr721iKnHTfYDt6maimO7I4ZQOETKcWiOuz5IWiBE74IiAsGwH4Yl0dJMfm4uhYWFBAIBqqqqUL2EDvHGJizL8lK2B8kLRygqKvJFK5PsILM+LjOayUS0zNidMmSEKBObOxOILiN2AOm0a+eKxWJEYjE2rFvnuTsUuYuhvVFTRuA6A1VAQHVtYm4AQpWKrdtYsPh9auvqGT3uWCZNHU4ymaaqMUE8nUYJRdH0IJbtmb0dxxsldQ5yBCU5KChCoGK7v7hexmJVhaL8XJLNDWgIdNVBVVI0NjWjqAESaeGtDVMJaDrCSqMrDr3CDk8//QizZpxKeZ/enhHWQVc1N5ywZZGTGwWE75dk28J/alZRUUFeXh4FhYV+/PPMqCgTV2nJkiUUFBTQo0cPdE3n06VLSSaT/mimT58+bqaXdJrm5mY/TXooFPJdD1KplL+2LZVKEYq6I6pM2BRoDb8bDAbdTCoNjaxbu5ZgMEg0GvVTqGfsSbtbwJuNIwS2cPz2d3aMKhxyIjoNDQ0khcIzL71KdU0do0aPpaBXf5JCxRIaDjqoARxVJSUcz5NeQUVzo6tmXBP2QafkCErSrRCKghCql04dwMG2HHdphuMghI2uqTiOQGg5OKg4QQ0bFQVIC3fBriVsalsSnDjtVJ59cR6Txk9kYHlf8qIRLNV1KnRQqKquJRqNULl1u5u6qb6ehoYG8vJyXM9tK0WipZnmpibfwTKdTlNQUEBzUwMt8SZyc6LU1lTR0tTCgAEDyM3N9f2cMrnhKisraWlp2SEUbjwe9+0/iqJ4i4wVX6AyU7uM42dmSUtlZaWXFr111ORfwyxHy/ZOlzsayYWfcCEzasvU5T/Z03Q2b62moKiY5SvXkkw7nHjyGTiBCM2WQlqo7jIV4YZudgBH1fz6FeGZnjJNdsJASgqU5CCi+r+yCgJN93xlVBWBhuV90G03GriXWt6Nit762VdIEKCwoA+TppzM2hUf88bbbxAOhehXWsqA/gMo7VtGbk6M+qYGAsEgm7dsQVNVSkqK3Cmd5uahW71iBaFQiGHDhrN5cwXV1TVEoxFqampcX6i0hRYKU1xcTDweZ82aNSQSCQD/KV1GfNLptBsuxVvUm5eX54cvyUzvsoUkYxcSQpBIJGhoaGDr1q3kxXL8qAJ+1hrPKTPDzmZB2TYtRVFQULAyoZR13Y++KbxUXrZtk7Js8kr60GQprNq4hUheT5KBfBpTbvx3oahoihvrqv3zt4wouSIlvB+djiuUFCjJQSMjThlbqqoofkIGPF8b1+vG3a74ZfivhAKKHqIpkaJ3v0EMHzIQu7mW+ppqNlRU8NEny3jh5fkUFRVRXlbG+KNGUVpWRlDXqautpr62mkS8hWg0jKpAOpWkavtWNFVhQP9yd6qma26qpXgTqiKIx92QuroXxiTjTW7bNn379vVHTBmRCIddr+/s5SOO42CnXGHIrMPL2K9SqZQfbzzshWbJiEl20LhdhT6BHY3kAtqMqjLr8aA1VIpjC5KOAsEom7dUUDpkLElHxVFUHEXLMspbiEySs3bNC8X7L3PDOogUKEk3wcFxFCxHuBEpVdX9OfZ+kcEVMqEIFJHtiQz18RSxkM6m7fVUKy2EnCTF+UUMzS1gyOFHEgrH2LhhDRs2rOPBx5/gm7NnkRN2s/XiWAQCOtU1bholxRE4aQvbsqio2uj6MkWibnA32y23FTesr2VZxGIxP5NJhkwQuUwapmAw6BvEAV+E1IDu25IyCS0zC5ADgQAFBQUIp9XonhnttHfCbI8AN0OMq0r+8QEv+ifCFWLHdqd2mq6iKKAoGlowxvbaFuprqxlZOoTGhI0aCLv3QwiEsLxnpDYIBUXJytDjOV5m9KkzkAIlOei4Iyn3C6AqgLDBtt1170rrVEbxvY8z7zQEGmowSkIIwCHhRFCFTXVtGhBoioPekCCUX8bg0WXkl/Tmsaef4bwzT6ekKB/LsthUWUVai3DUmFGENJVkSwv1DQ00Nja7njuKRjpto6g6wWCY3mWlNDU1+SnMg8GgH2bFdcZUCYRbw6Fk0pTHYjFSqZSbsNKxfcfNbCfO9oHhVF3L6j/YCDfcib9RcQXb83GyUb10VgqOl8lGVRQCOgQCCs1NjQT0AI6dJpV2nUrjzc04CGx0WkQ1q9ZXEI3loekBIhrYThrFcdAd95raqo6lZJ1Xlhrti2F8b5ACJTnksbRWfx43CbyGikr2mi8tYaEKm8LSoRwzSedfTzzF2WfMpqxXMT2L8+nZu5SKjZuw7TSqqtLU2IQWDhKNeuvvVNUdTeXmuPGekknXn8qbnjU1NQH4mXXjyZQvWJlwJs3NzTQ3N5P0YjelUqk26+Zyc3NJJpN79PJubwQXXp9RQFEEimP7hu+QN2oSCiTSgsraJpavWs0nn33uhlgJ6KiKlxBVUdECQSyh0mfwkSTstDuRU1Q3gqmqonjtHSikQEkOfYTw7R2O/9c15jreCn1dUwjrEWqaGhg88HAmKw7/fvJpzvv6bPqX9iaoq7S0NIOiUFhYSDKVIhRxUy85to2WcSFoaSGo6X6Egkzq8Exa83g87i4S9kLwqqrqP9UTQvje58Fg0Pc2z7ZL7Wralk1721P73RUv77OqKOi6Rn1jIx9+9jnLln9OKp3m8OHDmTnzVEp69CJtO9Q3NBKKxtD0EJYSoDktqGtJk3AU94GFAEeobiopFClQEsm+EBCurao127HmRxtyA7npWKqgwbKJhfNYtbmGUSPGoqgBHprzDLNOOpHivFwa43E3lIquEYqEKSws9B/tu+IUd5MSOO60rbGx0ReZjAE5k7QgP78Ax3FIJpN+rrqMHUrTND/ESjqdJj8/H8CPprCvOCgoioqmKiBshOMm8EwkUzwz/xVWr1vHoIGDmTxlGpHcAoSi0ZKyWFOdQAsESYsYdqPAUVI4Ik0gFMZSdNSAuwA7kUx556Vmrmon3bk9IwVKckijAAE7yzcIBUfBs0+BsB0cxcLRddK2jaWoaIEoG7bV03PA4Rx/Ajwzfz6zZs6kvE9fN6WUcCgpLiEYCpFIJKhvqndjTWk6jm0Tb2ryl8Ekk0nfS7yhoYFYLEYwGPTFJhh0Mx5n/J2aPD+rlpYWP8hdJlRLhowrQrZxPJv2oyxN03CEgmXbBFQFNJ365gSPP/ssBYUlnPPtS2i2FRoSSeqbhRsJUwRBURGW4i7hVdw4l5qmkrZcdw7HsbFsV+oVQAiNvY3j1FlIgZIc4gj/yZ6TGX0oDoo3tROKggpYjkVYE2iqglBU6lvS1DVUUVxUzolfncUzz8/layd/lcHlpQjHpmLDBurrG9wFyF5ygYy9qKCw0I004EWvzMT1zs3N9d9nYkIlEgkSiQSO47RJEx6JRHxXgswoK/M0L2M/yo7ttDt0TSNpue4Kjp1mc+U2nnrhBUaMGEWfQaOoaIKEUECNkdZci5XwFu6KTLgTBRQU0o6SFQDF8fbIliSlrVW8i5ECJTmkESiktNZ3fpyhzJNBDw0HRVERaVdohKOhhnOoiicIBQo4YsJUnnvpJU6bOpVexYXU1tYRDQVJJlyDtq5oBANuxpNINAoKqJpGyFs64jiOnxpKVVXizc1s27rVX/LSp08fArpOuKAAVVPRVI2ePXtiWRYNXhKD2toadD2QJUp7N1axbZtoOEwymWTpZ8t55c03OeroiRT3GUBtQpBUA6SEiupNBR3HQVFbR0Iqnt+UUFAVzfMGd9oJE256rwMoTiAFSvKFwJ2ECDJOnztZayHclFFuYhYFRQm6WVo0sFSHaI9yZs48g5fmPwdAMplk+nGTGDZwoCc+DroeIJlK8uFny13/IVUjoGm+4KiqSjCgo2s64BCNRlAVsNIpqqu2Iey0m1ZdcdMttcRbaG5qoqm+BhCkm+pQIzEIhnGEgtCCXgylHUOnZLsj6DjgpFnwzkI+/vRTppw0i5SeS5PQEHoITVHQHddOlh0jrs0S44xHO7Z/6do7xbp+aQdygicFSvIFQPEy0+7uqyMyPuqKihAKIvPRVxRsbNAU7EAB3zj7EnLCGq/89wXqmxJYqKiaRiSss3zVGl5960369O5NJBrBSqWxHQfHWyqScaK0LAvLtrAsd5vllVmW5e7vp2BXiUUiHDPqcHoW5mO3xMnJz6OoVyl6IIyluGMYrd2oJWOzUhTFdWNQHOrq63l78WJmfetCatIxLD2MDWjCQRcOOm6aKBSFXcc+aPXjp82rNhd7zzekE5ECJfmSkPGLysiY0+6vQnWLQ0OymaimkBY68bRFOK+I+uqtPD1vHg2NjZw6bSp6SZnnuqATi0bdJ4ieUAnviZ+mq4RCYWzHIZ1OkbYsQsEQiUQLtu2GvE2kU2zZsI43lizixOOOYeTQYeiKIBAKeKYeC2Un6ZkyEQnANb4nHYe0HkXTdGrjFk5Yx/ZigNte8BMBsB9PCA82UqAkXxKyjM1uStzW1wBoOKE8mtIpLCDSo5zlS15j9ZpVJJMJxhw1mq8OH0ZtbS0ba1rcxb1KmmCTKwF5ubngKDTUN5BKpxGqSjDotMn8EghYJJIOeK4GeiiXcM/+nHxaGf+dN5e6xhYmjTsSO22haTYoCkLotA8dnp1OynEcbC3ClupGNF3HIkDaFqAp7hQW4fuEHXryJAVK8mUhKydbm79Z5cm0A6pO2rGJFvbmhFPPJqikKM7Nobmxnua0ICk0CObgALZlE292oxKkSeBYNqmkg66HsIF0GncqqWokLQcrmSA3JxdFUUgkE6gpN1Z3cVk/zr7Q4LknHqJicwUzp08hFgkTDgaItyQA1V+zB/hr9TKRCpKOTlPKRtUC2I6Domqu76rAEznHE7VDL7ybFCjJl4TsFa2O9y/j4eOGc1H1zBM5gYNG3BHYgRhVKZW8HuVs3LCJULiEuO0uH1H1AIrmeqs3WaAIDaGHsRQ3HVN2m2pQIajpNKZSCAGqEgQhUFSd5Wu3oquCCSecytpPP+DhJ59j5skzKO1VQjSWi+5N6bIjHmTsXUIIausbcbQIWsBNGhqJKdjCXfTjBgZsa1s6lJACJfmSsLMJjmeTEp6YWEkEDpoKalDHVgTNaUFDyqaisQElWEQTCkrAjcRpCeH5W6nguEtLVE13H4gpdpu2bQFWOu3agTynSEUNYFs2gVAe4FCfaGHwqMkUl/TiqblzGT9+IoPK+hDSFH+NXiwWo7Gx0V9kHIlECOT2oW7TZqx0CoTjLuzNWlCseuvnhLRBSSSHIIoAIQhorQHxhICUhRv1Eh0lGCRp2aiqTgDc0Y8Qrm+VZ1PyjnQf59tOG/cA4flnZWf8tbypmuO47WmBMPXxNHqsB8dP/Rqb13/O0o8/pKUlTmmfPgzs34/+ZUFKSkrQAwEURWXN+o0semsulVsqKB00gtz8QoTiIITmSbLjhUdRcIR2oL0EOoyMSS75ctDeBtXeV0pkPKR39pHPBNJTdulIrWRX2aadXaMJ20tjqSEUBQWbkOIQsBoJq4KSnBChYIhUsoVNG9dSuWUTm7dsoaGxkaLCQjRNp7q2lmGHj2TE0RMJRGJU1rXQkATUIKCgIlCw3IXTSvcVKBmTXPLlZgfBUHZRvvNvsO8Kujvd2ecvv6A1hqiCg0rSEaCEEE6aLbWNaHqKkK5TOnAEQ4aNoLG2mrq6OrbV1OIIGDG+P2gKTSmLVEsdTSmNQCTPNfjjJcgUwltB10lhLg8gUqAkkm6AozgIdBRVI2UJ0opOKBQinbLQhUpDXRKrpZGwrpHboz/50Z44ikZLGvRggIStoKgaTkAllbJRFDV73OcG/zvIfdwfpEBJJAeRVkM2XlRLBUcNAMJ1GQhGPJeGNHq0hCbHoiWpkVZioKhYOthagHQ65WWwUd0om21qP7AxnDoTKVASyUFCeO4NKMJzdrBxwIsGqoCiYWUcTPUAjgA0zbWXad7YSFVIOwK0AJk4Bao3dczMWh3f5eHQmt6BFCiJ5CDSNpSKgvAWOzut/qSAUFwhE15Eyx11xk327tcBXkIDz2YmWkOqHGpIgZJIDhKO90gwI0oZJ1JXRzLipWFnUmzR6svUmtlGoArHy6acGTV5UzyhgFDdJKm4GXEONaRASSQHC08wMlltVOGAFwk0G004rds8AWrNHuj+nzGFt/que1Exd5a87hBCCpRE0k3ITrHVnrazs50JjrdO7xCcxu2OPccTlUgkkoOEFCiJRNJtkQIlkUi6LVKgJBJJt0UKlEQi6bZIgZJIJN0WKVAHiCvOm8onS97ulLqqt27mB6eNwbHtPe8MLHlzPj8/5wR+cNoY1q/8dLf7vvnik9zw43P99xdNH87WivU73feK86ZizDyKe2785d6f/CHKGy88wQ9OG7Pb6yHpfKRAHYIU9+rLXc+9j6rtOoFQNo+ZN/PtH/2Gu557n/5DjujUc7n8d3dxyVU3d2qde+LPV17EsvfePKBtfuWUb3DXc+8f0DYlUqC6JXs7Mtpbqrdupu+AwZ1a58Ei2RJn3YpPGDZqwgFr07atA9aWpC377Ul+xXlTmTrrPBa+/AzbtmxkwgkzOfO7P+W+m69m5bIlDBx+FD+85i/EcvMBWP3phzzytxvZvH41xb36cu4Pf8Xw0RMBWDBvDvMeu4+a7ZXk5hcx8+yLOeG0swFY/uEi7rnxl5x05gW88Oi9qKrG1y/6CcfPOHOn59WRuu67+SqC4SjVlRV8vvRd+vYfjPGrP9Gzbz+qKjfxy29P554Xl6Fp7mW76Wfnc+z0WXxl5lls27yBf9zyGzaudrPOjhx3HN++/BqiOXl7vJb33XwVgWCY6m2b+fzjd7nsujuw0ime+vttbNuygUgsl+NnnMnpF1wGsMO53PSz8xly5DiWf/gOG9d8zuAjRvO9X/2ZcCTG5V8/BsexudY4nfzCEm56cD7PP3w3b/zncRrqqinq0YevX/QTxh530v5+FNpw0fThfPuya3jpyQeor9nOSV+/gONOPoN7/nAFFetXMXLc8Xzv6pvRA0H/fkw/43zmPX4/qqpx/o+vRdcDPHznDTQ11HHyWRdy2rnf9+v/9IN3GDJyDPGmeq48/yT+9O9XyckvBGDdimXccvUl3PLoG+h6gAUvzGHe4/dRX1PFYcOO5IKf/ZaSXqUA/PuO37Pkzfm0NDfSq7Q/5/zwVww9chwATz9wOxXrVhIIhvhw4Suc/f2r+MrMszrl+kj2jQ6NoJYseImf33w/f/jHPD5651Vuvfp7nHnRT/m/Oe8ghMPLTz0IQG3VVv7ya4OvnfcDbn9qEd8yfskd111OQ10NAHkFxfz4+r9x59wlfPeKG3jkrhtZv/ITv536mipampv48yOvc+HPr+eh239Hc2P9Ts+po3UtfvV5Zv3Ppfz16cX06tuPJ+//y15dCyEEp57zPW55dAHX3/8farZX8vQ//7rX13LRK89x2rnf5865Sxh65FhC4QgXX3kjf336XX7ye5PXnn2E9996ebfHX3TFDdz2xNtY6TTzHrufQDDoT0uuM5/mpgfnA9Czbz+uuvVf3PHMe8w+/1LuufGX1FVv2+tz3RPL3lvAtXfO4X9vf5R5j93LA7dewyVX/4k//fs1KtatZNGrz/v71tdUkU4l+fMjr3P6BZfxj1t+w8KX53LNXXO46tZ/MffBO9m2eaO//9LFrzNq4hTyi3ow7KgJvPv6PL9s4cvPMvGEmeh6gPffepnnHza59NrbuW3O2ww9chzm73/u73vYsCO57m9PcftTi5g49TTu/O1PSKeSfvmHb7/CuK+czF+ffpdjpn2t066NZN/okEBNO+Pb5BeWUFjSi6EjxzJw+Cj6DzmCQDDImMnT2bDqMwAWvjyXUROnMGriFFRVZcTYyQwYOpKli18H4KhjTqBn334oisKwoyYwYuxkVixd4rej6Tqzzv8huh5g1MQphCJRKjeu3ek5dbSuMcedxMDho9A0nWOmfY0Nqz/bq2vRq7Q/I8ZOJhAMkldQxFe/8R1WfPTuXl/L0ZOmMWTkGFRVJRAMMXz0RMoGDkNVVcoHDmPC1FP5fDf1HXfy1+lddhjBUJjxU05h427Oe/yUGRSW9EJVVSacOJNepf1Zu3zpXp/rnjjlW5cQieVQOmAIpQOGMGLsZHr2LSeak8uRE45n/arWc9N0ndPO/T66HmDCiTNpqq9l+tf/h0g0c/xgNq393N9/6eIFjJowBYDJJ53Owv/OBdxp8aJXn+fYk2YD8NpzjzLznO/Rt/8gNE3n1HMNNq5eTtXWCgCOnT6LnHw3rveMsy7CSqfYkvU5GHTEaMZMno6qqgRD4U67NpJ9o0OLhfMKiv3XgVCYvMLW98FQmERLHHBtIO++Po8PF77ql9u25U/xPl78BnP/eQdbK9bhOA6pZILSw4b6++bkFfjTqvZ1t6ejdeUXlrQpS+6infY01Fbz7zt+z4ql75FoaUY4gmjunqd3GYp69m7zfvVnHzHn3j+zad1K7HSadDrF+Ckzdnl8flHWeYd3fX0A3nrpaV6a8w+qKt0va7IlTmND7V6f657I/hwEgu0+F8Ew9bVV/vucvALf2J8Rgvx2x2fuwaY1nxOOxijq2QeAoydP45+3/T+2bd7I1k3riMRyGDh8FOB+5h6+4wYe/dtNfl1CCOqqtlLSq5R5j9/PgheeoK5qGygKiXgTTfWt16CoR9v7ITk4HJBoBkU9ejNp+my+8/Pf7VCWTqW487rLufjKGxk9aRq6HuD2ay6F3WSb2RWdWVd7guEoAKlEgkgsB6DNF+2J+24BBX579zPk5Bfy/lsv89DtO/Z3Vyjt1qvffcMvmDb7PH76h3sIBEP8+84b2nyB9peqrRU8cOtv+MXN/2DwEaNRNY1rjdM75Rp1NR8vfoNRE0/w3weCIcZPmcE7rzxL5YY1TJo+2y8r6tGb0877PsfuZHq2Yul7vPDovVxx89/pO2AIqqryo9Mn0CbD0SGYQ+6LyAF5infs9Fl8+M6rLHt3AY5tk04lWf7hImq2V2JZKdLpFLn5RWiazseL3+CTJW/tVzudWVd78gqKKCzpxcKX5+LYNgtemMP2LNtIIt5MOBwjmpNHbdVW5j12X4faS7Q0E8vLJxAMsWb5xyx65bmOdgGAZKIFUMgtcA3LC+bNoWLtyk6pu6v5eNHrjJr4lTbbJp10Om+9+BQfLHyFY6e3itEJXzub/zx8NxXr3L7Fmxp9e1Ui3oyqaeQWFOHYFnMfvIOWeNOB64hkrzkwI6iefbjst3fw+D1/xLzhFyiqysBhozj/x9cSieZw7qW/5q7f/ZR0OsXoY09k9LFT96udzqxrZ1zws9/xr/+7jjn338rxp5zJoBGj/bLZ/3Mp9950JZfOHk/P0n4cO30W8+c8sN9tnX/5NTz6t5v51+2/Y9io8YyfMoN4U2OH+1DafzAnn3UhN1x+DoqiMOmk2QweeXSH6+1q4k2NbN6wmsEj2p7rkJFjUFSV/kOOoKR3mb997HEnkWyJ87frf0b1ts1EYrmMGDOJ8VNmMHLccRw5/itc/Z0ZhMJRvnrmBXJK102RiTsl+83V35lBfc12xkyezsVX3rTnAzrA4tde4L03XuSH1+z4VPXmX1zAMVNP61JXgAXz5vDIXTeSTiW5/r7n6dm3vMva+jKyq8SdUqAkhwTL3nuTcDTG4CPajqDWLl/Kn668iD89/CqRaM5BOjtJR5GZhSWHNCPHHbfDtntvupIP3vov51z6KylOX1CkQEkOWbp6Wik5+Mi1eBKJpNsiBUoikXRbpEBJJJJuixQoiUTSbZECJZFIui1SoCQStEjAKwAAD+1JREFUSbdFuhlIugwhHLZtWEl91RbSyRZ0PUgkr4C+A0eiB0MH+/QkhwBSoCSdTrKlmfWfvsu6pQvRgxF6lA8iEAxjpZNUrPiIj197hvLhYxg4ahK5RT0P9ulKujFSoCSdSu3WTbzz7N/pUT6YcTPOo7BXOUq70CXxhlrWLVvEG0/cyYhJpzBg5MSDdLaS7o4UqC4i3lDL2mXvsHH5+ySaG9E0ncJe5Rw26lj6DByx1xlZDiVqt27i7Wfu5eipZ9J38JG73C+aV8gRk2ZQfvhYFj5zL45tMfCoyQfwTCWHClKguoDVH77JZ4vm02/4WCbN/i6x/BIcO83WdZ+z+sM3Wb5oPsfOuohoXuHBPtVOI5WI886zf9+jOGWTW9iDyWcYvPH4HeQW9aJH+Rcj84yk8+gygUo0N7L+k8VUbV6Dqur0GTiCsmGj0QPBTm2nqb6We266km2bNxAIBOlZ2p//+cl15BUUsfrTD3ngL9eSTiYo6V3KJVf90Q8/u7uyjrDm47dZ/dFbnHjOj4nlFfnbNV2nbNhoSocexar3X+fNJ+9myrd+RCgS63Cb4GbZCQRDBDzj81kX/5yR448/YNdg/afv0qN88F6LU4ZYfhEjJs9kxZJXOyRQj5o3sWTBS1RVVvDbe+ZS5oV5rty0lvtuuoqmhjpy8gq4+Mqb6FU2oENlkgNHl7gZ1FRu4JWHbqG5oYaBoyZTPnwMm1ct5bVH/49kZ0cuVBRO+eZ3+cM/5vHbe+bSs085T9z7Z4QQ3HPjL/n2ZdfwhwdeZOiR43ni3j8D7LasI6QScT59e547asoSp7anqzBk7An07DeEFe++0uE2s/nhNbdxnfk015lPM3L88QfsGgjhsPbjhQwcNWm/ji8dMoq6bRU01VXteeddcPSk6Vx1y78o7tW3zfZ//uX/MXX2efzhgReZOvs8HvjLtR0ukxw4Ol2gHNtm8fMPMnramYyZfhZ9Bh5B2dCjOHb2RfQecAQfvjKnU9vLySvwky8ADDz8KKq3bmbd58sIBEMMPXIs4IaAzYR83V1ZR9jw6Xv0PuxwcgpK9rjvkLEnsGH5Emwr3eF2d8WBugbbN6xCD4Yp7N1vv47X9AD9j5jA2qXv7NfxAEOPHOsnU8jQUFvN+pWfMvHEUwGYeOKprF/5KQ11NftdJjmwdLpAVa77jGheIX0HjWyzXVEUhk+YxvZNq2lp2nlOu47iOA6vPvsIoyedSPW2zRT3bP01zc0vRAiHpoa63ZZ1hIpVH9Pv8LF7tW8sv4i84t5s29B58cDv/sMVXHPJLB687TriTQ0H7BrUV2+hpGzgDk/r9oUeZQNpqNqy38fvjJrtW9z0Wt4DCVXTKCjuSe32LftdJjmwdLpANdZso6hP/52W6cEQecW9aa6v7uxmAXjor9cTjkSZNvvbXVL/nki1xAnn5O/1/pGcfFKJvUtrtSeuvvUhfnv3M/zmjicQQvCvfcgo01HSyRYCwY7ljtNDYdKpRCedkeSLQqcLVCiSQ7xh50Nh4TjEG2oIdpJhOJtHzZvYVrGO7//vraiqSnHPvlRv2+yXN9bXgqKQk1ew27KOoAUCWFnZafeElUp22kODzPQmEAwyddY5rPrk/QN2DTQ92OGpqp1OoemBDtXRnqIefait2opj24Brfqir3kZhjz77XSY5sHS6QPUdciTbNqykqXb7DmWbVn5EKJpLXlGvTm1zzv23sn7FJ/zoujsIBN0vfP+hI0glE35W4deefcRPfLm7so7Qo2wwm1ct26t908kWqirWUNx3QIfbTbbE/YwvQggWvfYfygcdfsCuQTSvkIaqyg71oaF6K9HcznW7yCsspt+g4X6q9UWvPk//wYeTV1C032WSA0uXJE1Yu2wRny96mRGTZ9Jn0AhsK82GT99lxZLXOHbWRRTtpzF1Z1SsW8lvLv4avcoG+JlpS3qXcdl1f2XVJ+/zwK3Xkk6nKOlVyiVX3+xnDt5d2f7SVLud1x+/g5Mv/NUeR0arPlhATeV6JpzS8enots0bufO6y3EcG8dx6Nt/EOde+msKinsekGtgpVPMu//3O7hW7C1CCF5+8E8cPe1MSkoH7vPx4E7v339zPvU1VeTkF5KTV8D19z3Hlg1ruPfmq4g31hPNzefiK2+kT7nbxv6WSTqfA57VZev6z1n53mtUbV6Lqmn0HTiCoeOmklfyxc4/9v78x0gmmplwyvlo+s7dzKoq1rLo+Qc47ozvkd+j7073OdT4+PW5aLrOiMkz9/nY7RtX8dHrTzPtvJ93yNAuOXQ54FldevUfRq/+w7qq+m7L6Klf590XHmLBnLsYNn4qvQccjqK6M+mWxjrWLVvEmqULGXfyOV8YcQI4bNSxvPH4HfQ7fNw+LQC2rTSfvPUfBh11nBQnyQ7IvHhdgHAcNq74gLUfLyTeUEs0rxDbsog31FA+7GgGjT6OnMIeB/s0O531n7zL8sXzmXzG9/bKF8y20iz+z4PowTDjTj5HCtSXGJkX7wCiqCr9ho+l3/CxNNVVkYw3omo6uYU9v9BxkPqPGI9jWyx44i6OmDSDsqGjd/pkTghB1abVfPLWf4gVlDD2pG9KcZLsFClQXUxOQclejSa+KBw26lhyi3qy4r3XWPbm8/Q7fBw9ygYRCIWx0ikaq7eydtkiVFVl4OjjGDBighQnyS6RAiXpdErKBlFSNoimuirX5vbRW6RTCTQ9QCS3kKOnnUlx38OkMEn2iBQoSZeRU1DCyONOPdinITmEkUkTJBJJt0UKlEQi6bZIgZJIJN0WKVASiaTbIgVKIpF0W6RASSSSbstul7pIJBLJwUSOoCQSSbdFCpREIum2SIGSSCTdFilQEomk29LN1uKtEAIBOAjh0PpaeK8FAsf9K5ys16J1X6/Mf505Tnj7IhDCztqOVwvua6G4NYnWbZm/tv+63T47lLfu5/j1uu04mddCwc7annaUrDKwRev7tGhf5h7vCLAByzvWFu3qByzH2zdzvpm6vPdWm7qVrHNUsHayPft4y2m7f6YeIcBx3LAqQoBwWq+ByJTbovV11vZdljlZ5Y7w22i9EQIl+yJ4N1bxL75ovUmOt2/WsTgCpd2xbcqEdzFF1g31Xiv+BSSrI7RpU2mzrV0dtluvItrV4YBwbETmOyAc8D73Qrj/HGH5ZdnbwcFxLP97lNnedr+sY7O2t2x4uNus4pYjKIlE0m2RAiWRSLotUqAkEkm3RQqURCLptkiBkkgk3RYpUBKJpNsiBUoikXRbpEBJJJJuixQoiUTSbZECJZFIui0yHpREIum2yBGURCLptkiBkkgk3RYpUBKJpNvSzcKttGIYRjnwT6A3bhCKu03TvM0wjCLgUWAAsA74pmmatYZhKMBtwEwgDnzHNM3396E9DXgPqDBN8zTDMA4DHgGKgPeB803TTBmGEfLOayxQDXzLNM11+9BOAXAvMBI32MZFwOed3SfDMH4KXOy1sRS4EOjTGX0yDON+4DRgm2maI71t+3xfDMO4APhfr9rrTdN8YC/b+iPwNSAFrAYuNE2zziu7GvgubiSay03TfNHbPsM7Dw241zTNG/fUTlbZL4A/Aj1M06zqij552y8DfgRYwPOmaf6yI33azfUbDfwNCHtt/dA0zcUd7VdX0J1HUBbwc9M0DweOAS41DOMI4Crgv6ZpDgH+670HOAUY4v37HnDXPrb3Y+CzrPc3Abd67dTifkDw/taapjkYuNXbb1+4DZhnmuZw4CivzU7tk2EYpcDlwDjvQ6kBZ3din/4BzGi3bZ/64AnatcBEYAJwrWEYhXvZ1nxgpGmao4AVwNVenUd4/RzhHXOnYRia9+Nzh3cuRwDnePvuqZ3MD+VJwIaszZ3eJ8MwTgRmA6NM0xwB/KkT+rSrft0MXGea5mjgGu99Z/Sr0+m2AmWa5paMepum2Yj7RS7FvYkZ9X4AON17PRv4p2mawjTNd4ACwzD67E1bhmGUAafijmzwfkmmAk/sop1M+08A07z996adPOArwH1ev1LeL3+n9wl3dBwxDEMHosCWzuqTaZpvADXtNu9rH04G5pumWWOaZi2u6OwgEDtryzTNl0zTtLy37wBlWW09Yppm0jTNtcAq3C/UBGCVaZprTNNM4Y4iZ+9Fn8AV7F/ijkSz+9qpfQJ+ANxommbS22dbR/u0m7YEkOe9zgc2d0a/uoJuK1DZGIYxADgaWAT0Mk1zC7giBvT0disFNmYdtsnbtjf8BfdD6Hjvi4G6rC9Bdl1+O155vbf/3jAQ2A783TCMDwzDuNcwjFhn98k0zQrcX+ANuMJUDyzpoj5l2Nc+dOR+ZXMR8EJXtGUYxizcKf9H7Yq6ok9DgeMNw1hkGMbrhmGM78K2fgL80TCMjbifk6u7sK0O0e0FyjCMHGAO8BPTNBt2s+vOfvH36ORlGEZmfr5kL+var3Y8dGAMcJdpmkcDzbROhXbG/vapEPfX8DCgLxDDHb7vqq6O9GlP7KruDrdpGMavcU0BD3V2W4ZhRIFf406B2tMVfdKBQlxzxhXAY94otiva+gHwU9M0y4Gf4o3ou6itDtGtBcowjACuOD1kmuaT3uatmWmO9zczFN4ElGcdXkbr0HV3TAZmGYaxDneYPBV3RFXgTY/a1+W345Xns/Opwc7YBGwyTXOR9/4JXMHq7D5NB9aaprndNM008CQwqYv6lGFf+7C/fcNr4wJc4+95pmlmviyd2dYgXIH/yPtslAHvG4bRu4v6tAl40pteLcYdzZd0UVsX4H4mAB7HnS5mzqHT71VH6M5P8RRcZf/MNM1bsorm4l7gG72/z2Rt/5FhGI/gGvPqM1OO3WGa5tW0GllPAH5hmuZ5hmE8DnwDV7Tat3MBsNArfyXrC7KntioNw9hoGMYw0zQ/B6YBn3r/Oq1PuFO7Y7xRQIvXznvAq53dpyz26b4YhvEicEOWsfWrtE41dov39OpKYIppmvF25/BvwzBuwR05DgEW444AhnhPZitwjc7n7q4N0zSX0jpNxROpcd5TvE7vE/A07o/ja4ZhDAWCQFVn9imLzcAU4DWvzZXe9q7oV4fotgKFO7I5H1hqGMaH3rZf4X4BHjMM47u4X8SzvLL/4D4eXYX7iPTCDrZ/JfCIYRjXAx/QOgy+D3jQMIxVuKOMs/ex3suAhwzDCAJrvPNU6cQ+maa5yDCMJ3BdCSzv/O8Gnu+MPhmG8TBwAlBiGMYm3Cc8+3RfTNOsMQzjd8C73n6/NU1zh1HbLtq6GggB8w3DAHjHNM3vm6b5iWEYj+EKvgVcapqm7dXzI+BF3Cea95um+cme2jFN8z52Tlf06X7gfsMwluG6T1zg/Ujsd59209YlwG3eaDmB+8Suw/3qCuRaPIlE0m3p1jYoiUTy5UYKlEQi6bZIgZJIJN0WKVASiaTbIgVKIpF0W6RASSSSbosUKIlE0m2RAiWRSLot/x9oLq3Bb14ypwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 288x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plotgridmap():\n",
    "    m=Basemap(projection='merc',resolution='i', lat_0=-30,lon_0=18.5, llcrnrlat=-35.4,urcrnrlat=-31, llcrnrlon=17.8, urcrnrlon=20.5,epsg = 4269)\n",
    "    m.fillcontinents(color='0.8', lake_color='white', zorder=0)\n",
    "    m.arcgisimage(service = 'World_Shaded_Relief', xpixels = 500, verbose= False)    \n",
    "#    m.drawparallels(np.arange(-36.,-20.,1.), labels=[1,0,0,1], dashes=[1,1], linewidth=0.25, color='0.5')\n",
    "#    m.drawmeridians(np.arange(15, 22., 1.), labels=[1,0,0,1], dashes=[1,1], linewidth=0.25, color='0.5')\n",
    "    m.drawcoastlines(color='0.4', linewidth=1)\n",
    "    return m\n",
    "\n",
    "fig=plt.figure(figsize=(4,7))\n",
    "pl = fig.add_subplot(1, 1, 1)\n",
    "m=plotgridmap()\n",
    "mult=0.3\n",
    "size=prf_year.mean(0)*mult\n",
    "mm=pl.scatter(lons,lats, c=size/mult, edgecolors=\"0.4\", s=size, cmap=plt.cm.YlGnBu)\n",
    "\n",
    "#m.readshapefile(\"./wcape_regions\", \"regions\", linewidth=2, color=\"grey\")\n",
    "\n",
    "legvals=np.array([200,500,1000])\n",
    "ls=(legvals)*mult\n",
    "l1 = plt.scatter([-10],[-10], s=ls[0], color=\"none\", edgecolors='0.3')\n",
    "l2 = plt.scatter([-10],[-10], s=ls[1], color=\"none\", edgecolors='0.3')\n",
    "l3 = plt.scatter([-10],[-10], s=ls[2], color=\"none\", edgecolors='0.3')\n",
    "labels = legvals.astype(\"int\").astype(\"S12\")\n",
    "leg = plt.legend([l1, l2, l3], labels, ncol=3, frameon=False, fontsize=11,\n",
    "handlelength=0, loc = (0,0), borderpad = 1,\n",
    "handletextpad=2, title='mean annual rainfall [mm/year]', scatterpoints = 1)\n",
    "tit=leg.get_title()\n",
    "tit.set_fontsize(12)\n",
    "tit.set_position([-5,7])\n",
    "fig.colorbar(mm, ax=pl, shrink=0.8, orientation='horizontal', pad=0.01)\n",
    "#pl.set_title(\"mean annual rainfall 1981-2017\", size=14)\n",
    "fig.subplots_adjust(left=0.01, right=0.99, top=0.99, bottom=-0.1, hspace=0., wspace=0.)\n",
    "\n",
    "from mpl_toolkits.axes_grid1.anchored_artists import AnchoredSizeBar\n",
    "scalebar = AnchoredSizeBar(pl.transData,\n",
    "                           0.91, '100 km', \n",
    "                           loc=\"upper left\", \n",
    "                           pad=1,\n",
    "                           frameon=False,\n",
    "                           size_vertical=0.01)\n",
    "\n",
    "pl.add_artist(scalebar)\n",
    "\n",
    "plt.savefig(\"../figures_trend/fig1b.pdf\")\n",
    "plt.savefig(\"../figures_trend/fig1b.png\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "#seasonal trend on relative values - entire domain\n",
    "i=0\n",
    "trendseas1=[]\n",
    "trendseas2=[]\n",
    "\n",
    "for m,so in enumerate([\"Jan\",\"Feb\",\"Mar\", \"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"]):\n",
    "    print so,\n",
    "    pr_seas=prf_mon.resample(\"Q-\"+so).sum()\n",
    "    pr_seasmean=pr_seas.mean(1)\n",
    "    ind=np.where(pr_seas.index.month==m+1)[0][0]\n",
    "    q=pr_seasmean.index.quarter[ind]\n",
    "    xvar=pr_seasmean['1900':'2018'][pr_seasmean.index.quarter==q].index.year\n",
    "    yvar=pr_seas['1900':'2018'][pr_seasmean.index.quarter==q].apply(lambda x: x/x.mean()*100).mean(1).values\n",
    "#    yvar=pr_seas['1900':'2018'][pr_seasmean.index.quarter==m].mean(1).values\n",
    "    res=fun.trend_CI(xvar, yvar, trendtype=\"TheilSen\", n_boot=1000, autocorr=\"bootstrap\", CItype=\"bootstrap\")\n",
    "    trendseas1=trendseas1+[[res['slope'], res['pvalue'],res['CI_high'],res['CI_low']]]\n",
    "\n",
    "    xvar=pr_seasmean['1900':'2014']\n",
    "    xvar=xvar[xvar.index.quarter==q].index.year\n",
    "    yvar=pr_seas['1900':'2014']\n",
    "    yvar=yvar[yvar.index.quarter==q].apply(lambda x: x/x.mean()*100).mean(1).values\n",
    "#    yvar=yvar[yvar.index.quarter==m].mean(1).values\n",
    "    res=fun.trend_CI(xvar, yvar, trendtype=\"TheilSen\", n_boot=1000, autocorr=\"bootstrap\", CItype=\"bootstrap\")\n",
    "    trendseas2=trendseas2+[[res['slope'], res['pvalue'],res['CI_high'],res['CI_low']]]\n",
    "\n",
    "\n",
    "trendseas2=np.array(trendseas2)\n",
    "trendseas1=np.array(trendseas1)\n",
    "\n",
    "formatplot.myformat(\"neat\")\n",
    "fig=plt.figure(figsize=(7,3))\n",
    "pl = fig.add_subplot(1,1, 1)\n",
    "x=np.array(range(12))\n",
    "pl.plot(x-0.1, trendseas2[:,0], \"x\")\n",
    "pl.bar(x-0.1+0.01,trendseas2[:,2]-trendseas2[:,3], 0.05, trendseas2[:,3])\n",
    "\n",
    "pl.plot(x+0.1, trendseas1[:,0], \"x\")\n",
    "pl.bar(x+0.11,trendseas1[:,2]-trendseas1[:,3], 0.05, trendseas1[:,3])\n",
    "\n",
    "pl.axhline(0, color=\"0.8\")\n",
    "pl.set_xticks(range(12))\n",
    "pl.set_xticklabels([\"NDJ\",\"DJF\",\"JFM\", \"FMA\", \"MAM\", \"AMJ\", \"MJJ\", \"JJA\", \"JAS\", \"ASO\", \"SON\", \"OND\"])\n",
    "pl.set_ylabel(\"rainfall trend [% of MAP per year]\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "Jan\n",
      "Feb\n",
      "Mar\n",
      "Apr\n",
      "May\n",
      "Jun\n",
      "Jul\n",
      "Aug\n",
      "Sep\n",
      "Oct\n",
      "Nov\n",
      "Dec\n",
      "1\n",
      "Jan\n",
      "Feb\n",
      "Mar\n",
      "Apr\n",
      "May\n",
      "Jun\n",
      "Jul\n",
      "Aug\n",
      "Sep\n",
      "Oct\n",
      "Nov\n",
      "Dec\n",
      "2\n",
      "Jan\n",
      "Feb\n",
      "Mar\n",
      "Apr\n",
      "May\n",
      "Jun\n",
      "Jul\n",
      "Aug\n",
      "Sep\n",
      "Oct\n",
      "Nov\n",
      "Dec\n"
     ]
    }
   ],
   "source": [
    "#annual trand on relative values\n",
    "i=0\n",
    "trendseas1=[]\n",
    "trendseas2=[]\n",
    "\n",
    "for i in range(n_clusters):\n",
    "    print i\n",
    "    clustind=clu==i\n",
    "    for m,so in enumerate([\"Jan\",\"Feb\",\"Mar\", \"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"]):\n",
    "        print so\n",
    "        prf_seas=prf_mon.iloc[:,clustind].resample(\"Q-\"+so).sum()\n",
    "        prf_seasmean=prf_seas.mean(1)\n",
    "        ind=np.where(prf_seas.index.month==m+1)[0][0]\n",
    "        q=prf_seasmean.index.quarter[ind]\n",
    "        xvar=prf_seasmean['1900':'2018']\n",
    "        xvar=xvar[xvar.index.quarter==q].index.year\n",
    "        yvar=prf_seas['1900':'2018']\n",
    "        yvar=yvar[yvar.index.quarter==q].apply(lambda x: x/x.mean()*100).mean(1).values\n",
    "    #    yvar=pr_seas['1900':'2018'][pr_seasmean.index.quarter==m].mean(1).values\n",
    "        res=fun.trend_CI(xvar, yvar, trendtype=\"TheilSen\", n_boot=1000, autocorr=\"bootstrap\", CItype=\"bootstrap\")\n",
    "#        res=fun.trend_CI(xvar, yvar, trendtype=\"linreg\", n_boot=1000, autocorr=\"bootstrap\", CItype=\"bootstrap\")\n",
    "        trendseas1=trendseas1+[[res['slope'], res['pvalue'],res['CI_high'],res['CI_low']]]\n",
    "\n",
    "        xvar=prf_seasmean['1900':'2014']\n",
    "        xvar=xvar[xvar.index.quarter==q].index.year\n",
    "        yvar=prf_seas['1900':'2014']\n",
    "        yvar=yvar[yvar.index.quarter==q].apply(lambda x: x/x.mean()*100).mean(1).values\n",
    "    #    yvar=yvar[yvar.index.quarter==m].mean(1).values\n",
    "#        res=fun.trend_CI(xvar, yvar, trendtype=\"linreg\", n_boot=1000, autocorr=\"bootstrap\", CItype=\"bootstrap\")\n",
    "        res=fun.trend_CI(xvar, yvar, trendtype=\"TheilSen\", n_boot=1000, autocorr=\"bootstrap\", CItype=\"bootstrap\")\n",
    "        trendseas2=trendseas2+[[res['slope'], res['pvalue'],res['CI_high'],res['CI_low']]]\n",
    "    #annual\n",
    "    xvar=prf_year['1900':'2018'].index.year    \n",
    "    yvar=prf_year['1900':'2018'].iloc[:,clustind].apply(lambda x: x/x.mean()*100).mean(1).values\n",
    "    res=fun.trend_CI(xvar, yvar, trendtype=\"TheilSen\", n_boot=1000, autocorr=\"bootstrap\", CItype=\"bootstrap\")\n",
    "    trendseas1=trendseas1+[[res['slope'], res['pvalue'],res['CI_high'],res['CI_low']]]\n",
    "    \n",
    "    xvar=prf_year['1900':'2014'].index.year    \n",
    "    yvar=prf_year['1900':'2014'].iloc[:,clustind].apply(lambda x: x/x.mean()*100).mean(1).values\n",
    "    res=fun.trend_CI(xvar, yvar, trendtype=\"TheilSen\", n_boot=1000, autocorr=\"bootstrap\", CItype=\"bootstrap\")\n",
    "    trendseas2=trendseas2+[[res['slope'], res['pvalue'],res['CI_high'],res['CI_low']]]\n",
    "\n",
    "trendseas2=np.array(trendseas2)\n",
    "trendseas1=np.array(trendseas1)\n",
    "\n",
    "\n",
    "with open(\"./data/trendseas_\"+dset+\".pkl\", \"w\") as outf:\n",
    "    pickle.dump([trendseas1,trendseas2], outf) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x144 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "formatplot.myformat(\"neat\")\n",
    "fig=plt.figure(figsize=(12,2))\n",
    "\n",
    "trendseas1a=trendseas1.reshape(-1,13,4)\n",
    "trendseas2a=trendseas2.reshape(-1,13,4)\n",
    "\n",
    "col1,col2=\"magenta\",\"red\"\n",
    "for i in range(n_clusters):\n",
    "    r=regseq[i]\n",
    "    pl = fig.add_subplot(1,3, i+1)\n",
    "    x=np.array(range(13))\n",
    "    pl.plot(x-0.1, trendseas2a[r,:,0], \"x\", color=col1)\n",
    "    pl.bar(x-0.1+0.01,trendseas2a[r,:,2]-trendseas2a[r,:,3], 0.1, trendseas2a[r,:,3], color=col1)\n",
    "\n",
    "    pl.plot(x+0.1, trendseas1a[r,:,0], \"x\", color=col2)\n",
    "    pl.bar(x+0.11,trendseas1a[r,:,2]-trendseas1a[r,:,3], 0.1, trendseas1a[r,:,3], color=col2)\n",
    "\n",
    "    pl.axhline(0, color=\"0.8\")\n",
    "    pl.set_xticks(range(13))\n",
    "    pl.set_xticklabels([\"NDJ\",\"DJF\",\"JFM\", \"FMA\", \"MAM\", \"AMJ\", \"MJJ\", \"JJA\", \"JAS\", \"ASO\", \"SON\", \"OND\", \"Year\"], rotation=70)\n",
    "    if i==0:\n",
    "        pl.set_ylabel(\"rainfall trend [% of mean per year]\")\n",
    "    else:\n",
    "        pl.set_yticklabels([])\n",
    "    pl.set_title(regnames[r])\n",
    "    pl.set_ylim(-4.0,4.0)\n",
    "pl.bar(x+0.11,trendseas1a[r,:,2]-trendseas1a[r,:,3], 0.1, trendseas1a[r,:,3], label=\"till 2018\", color=col2)\n",
    "pl.bar(x-0.11,trendseas2a[r,:,2]-trendseas2a[r,:,3], 0.1, trendseas2a[r,:,3], label=\"till 2015\", color=col1)\n",
    "    \n",
    "plt.legend()\n",
    "plt.suptitle(\"Trend in seasonal rainfall \"+fy+\"-2017\", y=1.2)\n",
    "fig.subplots_adjust(left=0.05, right=0.9, top=0.95, bottom=0.05, hspace=0.3, wspace=0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "ename": "SystemExit",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "An exception has occurred, use %tb to see the full traceback.\n",
      "\u001b[0;31mSystemExit\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "sys.exit()\n",
    "byclust=[]\n",
    "for i in range(n_clusters):\n",
    "    clustind=clu==i\n",
    "    yvar=prf_mon.iloc[:,clustind].mean(1)\n",
    "    if i==0:\n",
    "        byclust=yvar.copy()\n",
    "    else:\n",
    "        byclust=pd.concat([byclust, yvar], axis=1)\n",
    "byclust.columns=regnames\n",
    "byclust.to_csv(\"./data/regionmean_\"+dset+\".csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 1 2\n"
     ]
    }
   ],
   "source": [
    "#monthly trend on relative values - by region\n",
    "i=0\n",
    "trendmon1=[]\n",
    "trendmon2=[]\n",
    "\n",
    "for i in range(n_clusters):\n",
    "    print i,\n",
    "    clustind=clu==i\n",
    "    for m,so in enumerate([\"Jan\",\"Feb\",\"Mar\", \"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"]):\n",
    "#        print so\n",
    "        pr_selmon=(prf_mon.iloc[:,clustind][pr_mon.index.month==m+1])\n",
    "        xvar=pr_selmon['1900':'2018'].index.year\n",
    "        yvar=pr_selmon['1900':'2018'].apply(lambda x: x/x.mean()*100).mean(1).values\n",
    "        res=fun.trend_CI(xvar, yvar, trendtype=\"TheilSen\", n_boot=1000, autocorr=\"bootstrap\", CItype=\"bootstrap\")\n",
    "        trendmon1=trendmon1+[[res['slope'], res['pvalue'],res['CI_high'],res['CI_low']]]\n",
    "        xvar=pr_selmon['1900':'2014'].index.year\n",
    "        yvar=pr_selmon['1900':'2014']\n",
    "        yvar=yvar.apply(lambda x: x/x.mean()*100).mean(1).values\n",
    "    #    yvar=yvar[yvar.index.quarter==m].mean(1).values\n",
    "        res=fun.trend_CI(xvar, yvar, trendtype=\"TheilSen\", n_boot=1000, autocorr=\"bootstrap\", CItype=\"bootstrap\")\n",
    "        trendmon2=trendmon2+[[res['slope'], res['pvalue'],res['CI_high'],res['CI_low']]]\n",
    "print\n",
    "trendmon2=np.array(trendmon2)\n",
    "trendmon1=np.array(trendmon1)\n",
    "\n",
    "with open(\"./data/trendmon_\"+dset+\".pkl\", \"w\") as outf:\n",
    "    pickle.dump([trendmon1,trendmon2], outf) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x144 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "formatplot.myformat(\"neat\")\n",
    "fig=plt.figure(figsize=(12,2))\n",
    "\n",
    "trendmon1a=trendmon1.reshape(-1,12,4)\n",
    "trendmon2a=trendmon2.reshape(-1,12,4)\n",
    "\n",
    "col1,col2=\"magenta\",\"red\"\n",
    "for i in range(n_clusters):\n",
    "    r=regseq[i]\n",
    "    pl = fig.add_subplot(1,3, i+1)\n",
    "    x=np.array(range(12))\n",
    "    pl.plot(x-0.1, trendmon2a[r,:,0], \"x\", color=col1)\n",
    "    pl.bar(x-0.1+0.01,trendmon2a[r,:,2]-trendmon2a[r,:,3], 0.1, trendmon2a[r,:,3], color=col1)\n",
    "\n",
    "    pl.plot(x+0.1, trendmon1a[r,:,0], \"x\", color=col2)\n",
    "    pl.bar(x+0.11,trendmon1a[r,:,2]-trendmon1a[r,:,3], 0.1, trendmon1a[r,:,3], color=col2)\n",
    "\n",
    "    pl.axhline(0, color=\"0.8\")\n",
    "    pl.set_xticks(range(12))\n",
    "    pl.set_xticklabels([\"J\",\"F\",\"M\", \"A\", \"M\", \"J\", \"J\", \"A\", \"S\", \"O\", \"N\", \"D\"])\n",
    "    if i==0:\n",
    "        pl.set_ylabel(\"rainfall trend [% of mean per year]\")\n",
    "    else:\n",
    "        pl.set_yticklabels([])\n",
    "    pl.set_title(regnames[r])\n",
    "    pl.set_ylim(-5.0,5.0)\n",
    "pl.bar(x+0.11,trendmon1a[r,:,2]-trendmon1a[r,:,3], 0.1, trendmon1a[r,:,3], label=\"till 2018\", color=col2)\n",
    "pl.bar(x-0.11,trendmon2a[r,:,2]-trendmon2a[r,:,3], 0.1, trendmon2a[r,:,3], label=\"till 2015\", color=col1)\n",
    "    \n",
    "plt.legend()\n",
    "plt.suptitle(\"Trend in monthly composite rainfall \"+fy+\"-\"+ly, y=1.2)\n",
    "fig.subplots_adjust(left=0.05, right=0.9, top=0.95, bottom=0.05, hspace=0.3, wspace=0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 1 2\n"
     ]
    }
   ],
   "source": [
    "#seasonal trend on relative values - by region\n",
    "i=0\n",
    "trendseas1=[]\n",
    "trendseas2=[]\n",
    "\n",
    "\n",
    "for i in range(n_clusters):\n",
    "    print i,\n",
    "    clustind=clu==i\n",
    "    prf_seas=prf_mon.resample(\"Q-Nov\").sum()\n",
    "    for m,so in enumerate([\"DJF\",\"MAM\",\"JJA\", \"SON\"]):\n",
    "        pr_selseas=(prf_seas.iloc[:,clustind][prf_seas.index.quarter==m+1])\n",
    "        xvar=pr_selseas['1900':'2018'].index.year\n",
    "        yvar=pr_selseas['1900':'2018'].apply(lambda x: x/x.mean()*100).mean(1).values\n",
    "        res=fun.trend_CI(xvar, yvar, trendtype=\"TheilSen\", n_boot=1000, autocorr=\"bootstrap\", CItype=\"bootstrap\")\n",
    "        trendseas1=trendseas1+[[res['slope'], res['pvalue'],res['CI_high'],res['CI_low']]]\n",
    "        xvar=pr_selseas['1900':'2014'].index.year\n",
    "        yvar=pr_selseas['1900':'2014']\n",
    "        yvar=yvar.apply(lambda x: x/x.mean()*100).mean(1).values\n",
    "    #    yvar=yvar[yvar.index.quarter==m].mean(1).values\n",
    "        res=fun.trend_CI(xvar, yvar, trendtype=\"TheilSen\", n_boot=1000, autocorr=\"bootstrap\", CItype=\"bootstrap\")\n",
    "        trendseas2=trendseas2+[[res['slope'], res['pvalue'],res['CI_high'],res['CI_low']]]\n",
    "print\n",
    "trendseas2=np.array(trendseas2)\n",
    "trendseas1=np.array(trendseas1)\n",
    "\n",
    "\n",
    "with open(\"./data/trendseas0_\"+dset+\".pkl\", \"w\") as outf:\n",
    "    pickle.dump([trendseas1,trendseas2], outf) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3, (152, 64))"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trendseas2[:,1]\n",
    "n_clusters, prf_seas.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "#with open(\"./data/trendseas2_\"+dset+\".pkl\", \"w\") as outf:\n",
    "#    pickle.dump([trendseas1,trendseas2], outf) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x144 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "formatplot.myformat(\"neat\")\n",
    "fig=plt.figure(figsize=(6,2))\n",
    "\n",
    "trendseas1a=trendseas1.reshape(-1,4,4)\n",
    "trendseas2a=trendseas2.reshape(-1,4,4)\n",
    "\n",
    "col1,col2=\"magenta\",\"red\"\n",
    "for i in range(n_clusters):\n",
    "    r=regseq[i]\n",
    "    pl = fig.add_subplot(1,3, i+1)\n",
    "    x=np.array(range(4))\n",
    "    pl.plot(x-0.1, trendseas2a[r,:,0], \"x\", color=col1)\n",
    "    pl.bar(x-0.1+0.01,trendseas2a[r,:,2]-trendseas2a[r,:,3], 0.1, trendseas2a[r,:,3], color=col1)\n",
    "\n",
    "    pl.plot(x+0.1, trendseas1a[r,:,0], \"x\", color=col2)\n",
    "    pl.bar(x+0.11,trendseas1a[r,:,2]-trendseas1a[r,:,3], 0.1, trendseas1a[r,:,3], color=col2)\n",
    "\n",
    "    pl.axhline(0, color=\"0.8\")\n",
    "    pl.set_xticks(range(4))\n",
    "    pl.set_xticklabels([\"DJF\",\"MAM\",\"JJA\", \"SON\"])\n",
    "    if i==0:\n",
    "        pl.set_ylabel(\"rainfall trend [% of mean per year]\")\n",
    "    else:\n",
    "        pl.set_yticklabels([])\n",
    "    pl.set_title(regnames[r])\n",
    "    pl.set_ylim(-5.0,5.0)\n",
    "pl.bar(x+0.11,trendseas1a[r,:,2]-trendseas1a[r,:,3], 0.1, trendseas1a[r,:,3], label=\"till 2018\", color=col2)\n",
    "pl.bar(x-0.11,trendseas2a[r,:,2]-trendseas2a[r,:,3], 0.1, trendseas2a[r,:,3], label=\"till 2015\", color=col1)\n",
    "    \n",
    "plt.legend()\n",
    "plt.suptitle(\"Trend in seasonal composite rainfall \"+fy+\"-\"+ly, y=1.2)\n",
    "fig.subplots_adjust(left=0.05, right=0.9, top=0.95, bottom=0.05, hspace=0.3, wspace=0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "def trendpyramid(_ts, _how=\"analytical\", _minwindow=10):\n",
    "    # _ts is a time series of annual values\n",
    "    # minwindow - is the minimum window (number of years) for which trends are calculated\n",
    "    from scipy.stats import mstats, kendalltau\n",
    "    from arch.bootstrap import StationaryBootstrap, IIDBootstrap\n",
    "    from statsmodels.distributions.empirical_distribution import ECDF\n",
    "    _nboot=100\n",
    "    _nts=len(_ts)\n",
    "    _nlevels=_nts-_minwindow+1 # number of \"levels\"  \n",
    "    _slope=np.zeros([_nlevels, _nts])\n",
    "    _slope[:]=np.nan\n",
    "    _pval=np.zeros([_nlevels, _nts])\n",
    "    _pval[:]=np.nan\n",
    "    for _window in range(_minwindow, _nts+1):\n",
    "#        print _window\n",
    "        _first=_window/2\n",
    "        _last=_nts-_first\n",
    "        bs=StationaryBootstrap(3, np.array(range(_window)))\n",
    "        for _block in range(_first, _last):\n",
    "            _x0=_block-_window/2\n",
    "            _x1=_x0+_window\n",
    "            _subts=_ts[_x0:_x1]\n",
    "            x_var=np.arange(_window)\n",
    "            if _how==\"analytical\":\n",
    "                _trend,intercept,CI_low,CI_high=mstats.theilslopes(_subts, x_var, alpha=0.95)\n",
    "                _tau,_pvalue=kendalltau(x_var, _subts)\n",
    "            else:\n",
    "                bs_slopes=[]\n",
    "                for data in bs.bootstrap(_nboot):\n",
    "                    ind=data[0][0]\n",
    "                    res=mstats.theilslopes(_subts[ind], x_var[ind], alpha=0.95)\n",
    "                    bs_slopes=bs_slopes+[res[0]]\n",
    "                _trend=np.median(bs_slopes)\n",
    "                ecdf=ECDF(bs_slopes)\n",
    "                _pvalue=ecdf(0)\n",
    "                #this makes sure we are calculating p-value on the correct side of the distribution. That will be one-sided pvalue\n",
    "                if _pvalue>0.5:\n",
    "                    _pvalue=1-_pvalue\n",
    "            _slope[_window-_minwindow,_block]=_trend\n",
    "            _pval[_window-_minwindow,_block]=_pvalue\n",
    "    return [_slope, _pval]\n",
    "\n",
    "\n",
    "\n",
    "def plotpyramid(_pl, _slope, _pval, plotparams):\n",
    "    fy,ly=1900,2018\n",
    "    vmin,vmax=plotparams\n",
    "    ny=ly-fy+1\n",
    "    empty=np.empty([110,119])\n",
    "    empty[:]=np.nan\n",
    "    xx,yy=slope.shape\n",
    "    empty[-xx:,-yy:]=np.flipud(slope*10)\n",
    "    ax=_pl.imshow(empty, interpolation=\"nearest\", cmap=plt.cm.bwr_r, vmin=vmin, vmax=vmax)\n",
    "    #m.colorbar()\n",
    "    empty=np.empty([110,119])\n",
    "    empty[:]=np.nan\n",
    "    empty[-xx:,-yy:]=np.flipud(_pval)\n",
    "    _pl.contourf(empty<0.05, 1, hatches=['', '///'], alpha=0)\n",
    "    _pl.set_xticks(range(5,ny,10))\n",
    "    _pl.set_yticks(range(ny-10,0,-10))\n",
    "    _pl.set_aspect(0.65)\n",
    "    _pl.set_yticklabels([])\n",
    "    _pl.set_xticklabels(range(1900+5,2018,10), rotation=75)\n",
    "    _pl.plot([119-8,119-xx/2-7],[109,119-yy+3], lw=2, color=\"black\")\n",
    "    plt.grid(alpha=0.4)\n",
    "#    plt.title(\"rainfall trend [mm/decade]\")\n",
    "#    plt.savefig(\"../figures_trend/pyramid_\"+suffix+\".jpg\")\n",
    "#    plt.show()\n",
    "    return ax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/wolski/anaconda3/envs/py2/lib/python2.7/site-packages/ipykernel_launcher.py:58: RuntimeWarning: invalid value encountered in less\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n",
      "2\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x252 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "formatplot.myformat(\"neat\")\n",
    "import matplotlib as mpl\n",
    "#regnames=[\"South-West\",\"North\", \"South-East\"]\n",
    "cluseq=[0,1,2,3]\n",
    "fig=plt.figure(figsize=(15,3.5))\n",
    "pyramidata={}\n",
    "for i in range(n_clusters):\n",
    "    pl=plt.subplot(1,4,i+1)\n",
    "    print i\n",
    "    clustind=clu==cluseq[i]\n",
    "    slope,pval=trendpyramid(prf_year[names[clustind]].mean(1).values)\n",
    "    if i==n_clusters-1:\n",
    "        plotcbar=True\n",
    "    else:\n",
    "        plotcbar=False\n",
    "    _ax=plotpyramid(pl, slope, pval, [-50,50])\n",
    "    pl.set_title(regnames[cluseq[i]])\n",
    "    if i==0:\n",
    "        pl.set_yticklabels(range(10,119,10))\n",
    "        pl.set_xlabel(\"centered on year\")\n",
    "        pl.set_ylabel(\"window width [years]\")\n",
    "    pyramidata[regnames[regseq[i]]]=[slope,pval]\n",
    "pl2 = fig.add_subplot(3, 40, 80)\n",
    "cmap = plt.cm.bwr_r\n",
    "norm = plt.cm.colors.Normalize(vmin=-50, vmax=50)\n",
    "cb1 = mpl.colorbar.ColorbarBase(pl2, cmap=cmap,norm=norm)\n",
    "cb1.set_label('trend [mm per decade]')\n",
    "\n",
    "fig.subplots_adjust(left=0.05, right=0.9, top=0.95, bottom=0.05, hspace=0.1, wspace=0.05)\n",
    "plt.savefig(\"../figures_trend/pyramid_\"+dset+\".jpg\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pickle\n",
    "with open(\"./data/pyramid_\"+dset+\".pkl\", \"w\") as pklfile:\n",
    "    pickle.dump(pyramidata, pklfile)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "#calculating trends\n",
    "fy,ly=\"1981\",'2014'\n",
    "trends=[]\n",
    "for i in range(nstat):\n",
    "    xvar=prf_year[fy:ly].index.year\n",
    "    yvar=prf_year[fy:ly].iloc[:,i].values.flatten()\n",
    "    unit=\" %/year\"            \n",
    "    mult=200\n",
    "    \n",
    "    try:\n",
    "        res=fun.trend_CI(xvar, yvar, trendtype=\"TheilSen\", n_boot=100, autocorr=\"boot\", CItype=\"analytical\")\n",
    "        trends=trends+[[res['slope']/np.nanmean(yvar)*100, res['pvalue']]]            \n",
    "    except:\n",
    "        print i\n",
    "        trends=trends+[[np.nan, np.nan]]\n",
    "trends=np.array(trends)\n",
    "#with open(\"./data/trends2017_\"+dset+\".pkl\", \"w\") as outf:\n",
    "#    pickle.dump([trends, lats, lons], outf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "trendspd=pd.DataFrame(trends, index=prf_year.keys(), columns=[\"slope\", \"pvalue\"])\n",
    "#trends\n",
    "#np.round(trendspd,3).to_csv(\"./data/trends2017_\"+dset+\".csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'plotsimplemap' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-19-c25561ebd87e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     24\u001b[0m     \u001b[0medgecolors\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0msel\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"none\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     25\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 26\u001b[0;31m \u001b[0mm\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mplotsimplemap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     27\u001b[0m \u001b[0mm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscatter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlons\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mlats\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfacecolors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolors\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0medgecolors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0medgecolors\u001b[0m\u001b[0;34m,\u001b[0m  \u001b[0mlatlon\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlinewidth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0ms\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msizes\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mzorder\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     28\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'plotsimplemap' is not defined"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mult=500\n",
    "fig=plt.figure(figsize=(6,8))\n",
    "pl = fig.add_subplot(1,1,1)\n",
    "sizes=abs(trends[:,0])*mult\n",
    "sizes[sizes==0]=10\n",
    "colors=np.repeat(\"black    \", nstat)\n",
    "edgecolors=np.repeat(\"black\", nstat)\n",
    "alphas=np.repeat(0, nstat)\n",
    "\n",
    "sel=(trends[:,0]<0)\n",
    "if sum(sel)>0:\n",
    "    colors[sel]=\"red\"\n",
    "    edgecolors[sel]=\"red\"\n",
    "sel=(trends[:,0]>0)\n",
    "if sum(sel)>0:\n",
    "    colors[sel]=\"blue\"\n",
    "    edgecolors[sel]=\"blue\"\n",
    "sel=trends[:,1]>0.05\n",
    "if sum(sel)>0:\n",
    "    colors[sel]=\"none\"\n",
    "    alphas[sel]=1\n",
    "sel=trends[:,1]<0.05\n",
    "if sum(sel)>0:\n",
    "    edgecolors[sel]=\"none\"\n",
    "\n",
    "m=plotsimplemap()\n",
    "m.scatter(lons,lats, facecolors=colors, edgecolors=edgecolors,  latlon=True, linewidth=3, s=sizes, zorder=5)\n",
    "\n",
    "#m=fun.plotmap(pl, lats, lons, ext, colors, edgecolors, msize=sizes)\n",
    "x,y=m(lons,lats)\n",
    "#for i in range(len(lats)):\n",
    "#    plt.text(x[i]+0.03,y[i],names[i][0:10], fontsize=10)\n",
    "\n",
    "ls=np.array([.5,1,2])*mult\n",
    "\n",
    "l1 = plt.scatter([-10],[-10], s=ls[0], color=\"none\", edgecolors='0.3')\n",
    "l2 = plt.scatter([-10],[-10], s=ls[1], color=\"none\", edgecolors='0.3')\n",
    "l3 = plt.scatter([-10],[-10], s=ls[2], color=\"none\", edgecolors='0.3')\n",
    "labels = (ls.astype(\"float\")/mult).astype(\"S12\")\n",
    "leg = plt.legend([l1, l2, l3], labels, ncol=4, frameon=False, fontsize=11,\n",
    "handlelength=0, loc = (0,0), borderpad = 1,\n",
    "handletextpad=1, title='trend ['+unit+']', scatterpoints = 1)\n",
    "tit=leg.get_title()\n",
    "tit.set_fontsize(14)\n",
    "\n",
    "plt.title(\"trend in total annual rainfall\\n \"+fy+\"-\"+ly, y=1.0, fontsize=15)\n",
    "#fig.subplots_adjust(left=-0.1, right=1.1, top=0.92, bottom=0.02, hspace=0.05, wspace=0.3)\n",
    "\n",
    "fig.savefig(\"../figures_trend/map_trendannual_\"+dset+\".png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "#calculating trends\n",
    "fy,ly=\"1981\",'2014'\n",
    "trends=[]\n",
    "for i in range(nstat):\n",
    "    xvar=prf_year[fy:ly].index.year\n",
    "    yvar=prf_year[fy:ly].iloc[:,i].values.flatten()\n",
    "    unit=\" %/year\"            \n",
    "    mult=200\n",
    "    try:\n",
    "        res=fun.trend_CI(xvar, yvar, trendtype=\"TheilSen\", n_boot=100, autocorr=\"boot\", CItype=\"analytical\")\n",
    "        trends=trends+[[res['slope']/np.nanmean(yvar)*100, res['pvalue']]]            \n",
    "    except:\n",
    "        print i\n",
    "        trends=trends+[[np.nan, np.nan]]\n",
    "trends=np.array(trends)\n",
    "with open(\"./data/trends2014_\"+dset+\".pkl\", \"w\") as outf:\n",
    "    pickle.dump([trends, lats, lons], outf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "trendspd=pd.DataFrame(trends, index=prf_year.keys(), columns=[\"slope\", \"pvalue\"])\n",
    "np.round(trendspd,3).to_csv(\"./data/trends2014_\"+dset+\".csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'plotsimplemap' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-22-c25561ebd87e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     24\u001b[0m     \u001b[0medgecolors\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0msel\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"none\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     25\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 26\u001b[0;31m \u001b[0mm\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mplotsimplemap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     27\u001b[0m \u001b[0mm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscatter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlons\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mlats\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfacecolors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolors\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0medgecolors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0medgecolors\u001b[0m\u001b[0;34m,\u001b[0m  \u001b[0mlatlon\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlinewidth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0ms\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msizes\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mzorder\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     28\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'plotsimplemap' is not defined"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mult=500\n",
    "fig=plt.figure(figsize=(6,8))\n",
    "pl = fig.add_subplot(1,1,1)\n",
    "sizes=abs(trends[:,0])*mult\n",
    "sizes[sizes==0]=10\n",
    "colors=np.repeat(\"black    \", nstat)\n",
    "edgecolors=np.repeat(\"black\", nstat)\n",
    "alphas=np.repeat(0, nstat)\n",
    "\n",
    "sel=(trends[:,0]<0)\n",
    "if sum(sel)>0:\n",
    "    colors[sel]=\"red\"\n",
    "    edgecolors[sel]=\"red\"\n",
    "sel=(trends[:,0]>0)\n",
    "if sum(sel)>0:\n",
    "    colors[sel]=\"blue\"\n",
    "    edgecolors[sel]=\"blue\"\n",
    "sel=trends[:,1]>0.05\n",
    "if sum(sel)>0:\n",
    "    colors[sel]=\"none\"\n",
    "    alphas[sel]=1\n",
    "sel=trends[:,1]<0.05\n",
    "if sum(sel)>0:\n",
    "    edgecolors[sel]=\"none\"\n",
    "\n",
    "m=plotsimplemap()\n",
    "m.scatter(lons,lats, facecolors=colors, edgecolors=edgecolors,  latlon=True, linewidth=3, s=sizes, zorder=5)\n",
    "\n",
    "#m=fun.plotmap(pl, lats, lons, ext, colors, edgecolors, msize=sizes)\n",
    "x,y=m(lons,lats)\n",
    "#for i in range(len(lats)):\n",
    "#    plt.text(x[i]+0.03,y[i],names[i][0:10], fontsize=10)\n",
    "\n",
    "ls=np.array([.5,1,2])*mult\n",
    "\n",
    "l1 = plt.scatter([-10],[-10], s=ls[0], color=\"none\", edgecolors='0.3')\n",
    "l2 = plt.scatter([-10],[-10], s=ls[1], color=\"none\", edgecolors='0.3')\n",
    "l3 = plt.scatter([-10],[-10], s=ls[2], color=\"none\", edgecolors='0.3')\n",
    "labels = (ls.astype(\"float\")/mult).astype(\"S12\")\n",
    "leg = plt.legend([l1, l2, l3], labels, ncol=4, frameon=False, fontsize=11,\n",
    "handlelength=0, loc = (0,0), borderpad = 1,\n",
    "handletextpad=1, title='trend ['+unit+']', scatterpoints = 1)\n",
    "tit=leg.get_title()\n",
    "tit.set_fontsize(14)\n",
    "\n",
    "plt.title(\"trend in total annual rainfall\\n \"+fy+\"-\"+ly, y=1.0, fontsize=15)\n",
    "#fig.subplots_adjust(left=-0.1, right=1.1, top=0.92, bottom=0.02, hspace=0.05, wspace=0.3)\n",
    "\n",
    "fig.savefig(\"../figures_trend/map_trendannual_\"+dset+\".png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1\n",
      "2\n",
      "3\n"
     ]
    }
   ],
   "source": [
    "prf_seas=prf_mon.resample(\"Q-Nov\").sum()\n",
    "\n",
    "#calculating trends\n",
    "fy,ly=\"1981\",'2014'\n",
    "seastrend=[]\n",
    "for seas in range(4):\n",
    "    print seas\n",
    "    trends=[]\n",
    "    seasdata=prf_seas[prf_seas.index.quarter==seas+1][fy:ly]\n",
    "    for i in range(nstat):\n",
    "        xvar=seasdata.index.year\n",
    "        yvar=seasdata.iloc[:,i].values.flatten()\n",
    "        unit=\" %/year\"            \n",
    "        mult=200\n",
    "        try:\n",
    "            res=fun.trend_CI(xvar, yvar, trendtype=\"TheilSen\", n_boot=100, autocorr=\"boot\", CItype=\"analytical\")\n",
    "            trends=trends+[[res['slope']/np.nanmean(yvar)*100, res['pvalue']]]            \n",
    "        except:\n",
    "            print i\n",
    "            trends=trends+[[np.nan, np.nan]]\n",
    "    trends=np.array(trends)\n",
    "    seastrend=seastrend+[trends]\n",
    "    with open(\"./data/trends2014_seas_\"+str(seas)+\"_\"+dset+\".pkl\", \"w\") as outf:\n",
    "        pickle.dump([trends, lats, lons], outf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mult=100\n",
    "fig=plt.figure(figsize=(10,4))\n",
    "snames=[\"DJF\", \"MAM\", \"JJA\", \"SON\"]\n",
    "for seas in range(4):\n",
    "    pl = fig.add_subplot(1,4,seas+1)\n",
    "    trends=seastrend[seas]\n",
    "    \n",
    "    sizes=abs(trends[:,0])*mult\n",
    "    sizes[sizes==0]=10\n",
    "    colors=np.repeat(\"black    \", nstat)\n",
    "    edgecolors=np.repeat(\"black\", nstat)\n",
    "    alphas=np.repeat(0, nstat)\n",
    "\n",
    "    sel=(trends[:,0]<0)\n",
    "    if sum(sel)>0:\n",
    "        colors[sel]=\"red\"\n",
    "        edgecolors[sel]=\"red\"\n",
    "    sel=(trends[:,0]>0)\n",
    "    if sum(sel)>0:\n",
    "        colors[sel]=\"blue\"\n",
    "        edgecolors[sel]=\"blue\"\n",
    "    sel=trends[:,1]>0.05\n",
    "    if sum(sel)>0:\n",
    "        colors[sel]=\"none\"\n",
    "        alphas[sel]=1\n",
    "    sel=trends[:,1]<0.05\n",
    "    if sum(sel)>0:\n",
    "        edgecolors[sel]=\"none\"\n",
    "\n",
    "    m=plotsimplemap()\n",
    "    m.scatter(lons,lats, facecolors=colors, edgecolors=edgecolors,  latlon=True, linewidth=3, s=sizes, zorder=5)\n",
    "\n",
    "    #m=fun.plotmap(pl, lats, lons, ext, colors, edgecolors, msize=sizes)\n",
    "    x,y=m(lons,lats)\n",
    "    #for i in range(len(lats)):\n",
    "    #    plt.text(x[i]+0.03,y[i],names[i][0:10], fontsize=10)\n",
    "\n",
    "    ls=np.array([.5,1,2])*mult\n",
    "    \n",
    "    if seas==0:\n",
    "        l1 = plt.scatter([-10],[-10], s=ls[0], color=\"none\", edgecolors='0.3')\n",
    "        l2 = plt.scatter([-10],[-10], s=ls[1], color=\"none\", edgecolors='0.3')\n",
    "        l3 = plt.scatter([-10],[-10], s=ls[2], color=\"none\", edgecolors='0.3')\n",
    "        labels = (ls.astype(\"float\")/mult).astype(\"S12\")\n",
    "        leg = plt.legend([l1, l2, l3], labels, ncol=4, frameon=True, fontsize=9,\n",
    "        handlelength=0, loc = (0,0), borderpad = 1,\n",
    "        handletextpad=1, title='trend ['+unit+']', scatterpoints = 1)\n",
    "        tit=leg.get_title()\n",
    "        tit.set_fontsize(10)\n",
    "    if seas==1:\n",
    "        l1 = plt.scatter([-10],[-10], s=ls[0], color=\"red\", edgecolors='red')\n",
    "        l2 = plt.scatter([-10],[-10], s=ls[0], color=\"blue\", edgecolors='blue')\n",
    "        labels = [\"drying\",\"wetting\"]\n",
    "        leg = plt.legend([l1, l2], labels, ncol=4, frameon=True, fontsize=9,\n",
    "        handlelength=0, loc = (0,0), borderpad = 1,\n",
    "        handletextpad=1,scatterpoints = 1)\n",
    "    \n",
    "    pl.set_title(snames[seas], y=1.0, fontsize=12)\n",
    "\n",
    "    \n",
    "    for reg in regdefs:\n",
    "        ll=regdefs[reg]\n",
    "        x1,y1 = m(ll[0],ll[3])\n",
    "        x2,y2 = m(ll[0],ll[2])\n",
    "        x3,y3 = m(ll[1],ll[2])\n",
    "        x4,y4 = m(ll[1],ll[3])\n",
    "        if reg==\"South-West\":\n",
    "            x3a,y3a = m(20.2,-33.8)\n",
    "            x3b,y3b = m(20.2,-32.3)\n",
    "            x4a,y4a = m(19.3,-33.8)\n",
    "            poly = Polygon([(x1,y1),(x2,y2),(x3,y3),(x4a,y4a),(x3a,y3a),(x3b,y3b)],facecolor='none',edgecolor='0.4',linewidth=1, alpha=1)\n",
    "        else:\n",
    "            poly = Polygon([(x1,y1),(x2,y2),(x3,y3),(x4,y4)],facecolor='none',edgecolor='0.4',linewidth=1, alpha=1)\n",
    "        plt.gca().add_patch(poly)\n",
    " \n",
    "    \n",
    "#plt.suptitle(\"trend in total seasonal rainfall \"+fy+\"-\"+ly, y=0.95, fontsize=15)\n",
    "fig.subplots_adjust(left=0.05, right=0.95, top=0.95, bottom=0.02, hspace=0.05, wspace=0.1)\n",
    "\n",
    "fig.savefig(\"../figures_trend/fig7.png\")\n",
    "fig.savefig(\"../figures_trend/fig7.pdf\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pr_monclimts=prf_mon['1981':'2018'].groupby(prf_mon['1981':'2018'].index.month).transform(lambda x: x['1981':'2014'].mean())\n",
    "pr_monclimstdev=prf_mon['1981':'2018'].groupby(prf_mon['1981':'2018'].index.month).transform(lambda x: x['1981':'2014'].std())\n",
    "\n",
    "import matplotlib.dates as mdates\n",
    "formatplot.myformat(\"neat_white\")\n",
    "\n",
    "fyr='2015'\n",
    "fig=plt.figure(figsize=(10,3))\n",
    "\n",
    "\n",
    "pl = fig.add_subplot(1,1, 1)\n",
    "pl.plot(pr_monclimts['2015':'2017'].mean(1), color=\"0.8\", zorder=1, label=\"1981-2014 climatology\")\n",
    "pl.bar(pr_mon['2015':'2017'].index, pr_mon['2015':'2017'].mean(1), 15, color=\"aqua\", zorder=2, label=\"observed\")\n",
    "\n",
    "#pl.bar(pr_anom[fyr:'2017'].index, pr_anom[fyr:'2017'].mean(1).values, 10, color=\"0.3\", edgecolor=\"0.3\", zorder=3)\n",
    "for year in range(int(fyr), 2019):\n",
    "    pl.axvline(x=pd.datetime(year,01,31), color=\"0.8\", zorder=1)\n",
    "pl.set_ylabel(\"rainfall [mm/month]\")\n",
    "pl.set_xticks(pd.date_range(fyr+\"-01-31\", \"2018-01-31\", freq=\"3M\"))\n",
    "pl.set_xticklabels(pd.date_range(fyr+\"-01-31\", \"2018-01-31\", freq=\"3M\"), rotation=90)\n",
    "pl.xaxis.set_major_formatter(mdates.DateFormatter('%b %Y'))\n",
    "pl.set_ylim([0,120])\n",
    "plt.legend(frameon=False, loc=(0.7,0.9))\n",
    "plt.suptitle(\"Cape Town region rainfall\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pr_anom=((prf_mon['2015':'2017']-pr_monclimts['2015':'2017'])/pr_monclimstdev['2015':'2017'])\n",
    "\n",
    "fig=plt.figure(figsize=(5,3))\n",
    "pl = fig.add_subplot(1,1,1)\n",
    "pr_anom2=pr_anom.groupby(pr_anom.index.month).mean()\n",
    "xvar=range(12)\n",
    "pl.plot(xvar,pr_anom2.values, color=\"0.8\")\n",
    "pl.bar(xvar, pr_anom2.mean(1).values, 0.5, zorder=10)\n",
    "pl.axhline(0, color=\"black\")\n",
    "pl.set_xticks(xvar)\n",
    "pl.set_xticklabels([\"J\",\"F\",\"M\", \"A\", \"M\", \"J\", \"J\", \"A\", \"S\", \"O\", \"N\", \"D\"])\n",
    "pl.set_ylabel(\"2015-2017 anomaly [z-score]\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 1 2"
     ]
    },
    {
     "data": {
      "image/png": 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PvXjvduEGJq8ys9vtCIfDKBaLKJVKopeqRCKRSCSS0aJYLJ66z+/3t13dziOe2WwWyWQSDoejV0ME0NrwVHs8GWMDEbPvNVqq2n9XURSXoih2ALcA3FMU5Ud69P4fBfD6Jr//egBblZ93APjVHr1vWxQKBVEFxy8ytczBOLu8JZJOYYzh5OQEXq932EORSCSSptTbp4PBYEev1c/qdh5qbyTTaDAYoNPpUCwWUSgUev7+g0CLm+4apTQG4JsAfBrAGoC39eLNKaUv4UlHpHp8I4CPUUoZpfRvAUwoirLYi/duB7VLm59C1N0EZJ6n5DySTCZxfHyMw8NDxOPxYQ9HIpFIGqLep+fn5wGUnUrc0GuHfhqepVIJJpMJRqOx7u/Vkkrj6vTSYngaFUUxomx4/jGlNI9ykdEgWAZwoLp9WLlvoKgvTLPZDJ/Ph2KxKMLrnVy4Esm443A4xAK+u7tblT8lkUgko4R6n56amhKG3eHhYduvxSvbk8lkX7yOjcLsHB5uH9c8Ty2GJwWwB8AO4CVFUdYB9Fc99Qn1khdOGb2KorzjpZde6tsgEokEgLKLOxKJ4ODgAAcHB+LClYan5CzQyTxaXl6Gw+FAPp/Ho0eP+pJsL5GMG/3ekyTto/Z4WiwWzMzMAADi8Xjd/M9m6PV6kXbXj2hPq26I4+7x1FJc9AsAfoHfVhTlMYCv7uegVBwCWFXdXgFwXPsgSumHUDaQ+wK/YC0WizBCE4kEHA5HX4VkzwKRSASRSARra2uyAGvE6WQeEUKwubmJ27dvI5FI4OjoqKNWdBLJWaLfe5KkfdTewUKhgPn5eZycnAAAvF4vlpaW2no9l8uFRCKBWCyGycnJno71rHs82xKCVxTlU5TSNwIYVEbrJwG8U1GU3wfwlQCilNKTAb23gFe02+12RKPlJk7FYlF8+TLEWB/GGB4/fox8Pg+Xy4WpqalhD0nSB4xGIzY3N3H//n14vV7Y7faeL8TnHcYY/H4/JiYm6opKSySS5qhD4jdv3sTy8jKsVivS6TS8Xi8WFxdPVYgzxlAoFJDJZIT8ktFoxNzcHFwul+jb3gvUbTzPvcezhp7mVyqK8nsAXgdgRlGUQ5RbcRoBgFL6aygXM30DgB2U5ZTe3sv310KpVBIXhN1ur6rg5R48xpiUVKpDKpUSRnk8HpeG5xnG6XRiZWUFh4eH2Nvbg9VqFYujpHtCoRAODg4QCoWwvb09lhIqEsmwqO3NzhjD4eGhWKNKpRJOTk5gsViEgcmNzXp93Z1Op2ifmcvlkM1mhSOqU3jKnsVigV6vb/rYcZdUatfw/GIv35xS+m0tfs8wZLH6ZhXrak9nOp1u6R4/b6hbkvEUBcnZZW5uDolEApFIBA8fPsSVK1eaLqDFYhGMMRgM564Db9vwkFoymUQikRDFDRKJpDW1nkG9Xo9SqVQVquZh91r0ej0sFovoVphKpRCPx2Gz2eByuRAOh3vSxUjdsagVBoMBBoMBhUIB+Xx+7KIgWnQ836YoihMAKKXfVbnvjf0e2KjAE4d1Ot2pIqJEIiG8nFJOphrGWJXhmclkxlZzTKINQgg2NjbEAv348eOGxUalUgl37tzB7du363oUJNWoN87j41Np7hKJpAm1jg9+6K3FZrNhfn4e6+vr2N7exrPPPotnn30WV65cwYULFzA3NwfgyX7fS1mlVsLxtYxz60wtseFfBPA5RVGuqu77yT6NZ+TgF4PRaDxlXGazWeGtkZXt1aTTaeRyORgMBlH9J72eZx+9Xo+LFy9Cp9MhFArB7/fXfVw4HEY2m0U+n5c6uBpQry+JREIedCWSNqi390xPT+PixYtwu93ivnQ6jcnJSczMzMDhcMBgMFSFsdV7GWOsp+0zmxmefr8fr7zyyqnKfGA8C4y0GJ67AL4LwB8qivJ85b7xSijoAnVFO78w1HDDcxy//H7CvZ28tRggDc/zgtVqxfr6OoCyRl69711tkNabV5InMMbEHOIRlkZhQYlEcpp6h9tkMgm3242NjQ1xH2MMd+/excnJSV1D0mw2w2QyoVgsIpVKwWQywWw2o1QqdbWOFQoFMcfVzWk4fr8fhUKhKop41j2erNIf/asAvENRlP8EoHnm6xmC53E2ShzmGwGvfJdUh9kzmUxVgZHkfDA1NYW5uTkwxvDo0aOqfOhkMlm1SMtoQXPUGoOlUgmEEMTjcXmQk0g0Um9/zmQyCIVCMBgMwnPJOT4+xr179+oadTy/ms+/XoTb1WtgbaGQOiqkftw4ezy1ZPWfAAClNKAoytcB+GkAT/d1VCOCuqJdfTHY7XaxcfJNoV0B2rMMrwrk/WQ5qVQKxWKxZcWe5GywvLwsjMzd3V1sbW2BEAKfzwegHLZKJBID93gWCgUUCoWxqbqv/XzsdjsSiQROTk6wtbU1pFFJJOPDN/3+UYPfeAAAX/ihr6gyHA0GA5LJJG7fvo21tTVMTU0JG8DpdCIYDCIej2N+fh4ulwt+vx+xWKxtLVBOszVQ7bBJJpOiin2ctTy1CMi/QfX/EoAfqfycedQXg/rLVRuhahd+Pp9v2F/1PMG9nSaT6dSkSCaTp06XkrOJTqfD5uYm7ty5g3g8juPjY8zNzYnrY21tDbdv30YmkxnIgaRQKMDr9cLn86FUKuHKlStjoURR60lhjEGn0yEWiyGZTI7F3yCRDAstxYsTExN4/PixuO12u1EsFhGJRLC3t4doNIq1tTUYDAbh8YzH42CMwel0ghAi2md2otLRzPBUz391FTs/OOdyubGTVGoYalcU5f2tnqzlMeMM/8L1en3VqaM2xMW/8F4JyY47kUgEAOpWscvw4PnCZDJhc3MTAODxeHB4eAjGGNxut5ApAfobbi8UCjg+PsaNGzfg8XjERsSbQYw6fFPiuV/JZBLT09MAZK6nRNIKLWuLTqerkigLhUJYXV3F+vo6dDodwuGwOECr8zpTqRT0er04/HWSTsYYa2h4MsaEXcGdWvyxOp0ORqMRjLGxS/VrZpr/W0VRmllSBMC3Anh/T0c0Qqgr2pu5s3lIOZFIiA3hvJLJZJBOp6HT6aThKQFQDk0tLy/j6OgIoVAIQDkH9Pbt2yIVw+v1wmKx9DxicHx8DJ/PJ97H6XTC4XDg5ORkbHKOeZ6Z0+mETqdDMpmEzWYDIQTRaBSpVKplpxOJ5LyiZc/x+/2YnJxEPB4X+piBQABLS0twOBzY3d1FKpXC/fv3sbi4CLvdjmw2i3g8Drvd3lX7zHw+j0KhUDfiw5U/DAYDpqen4fF4kEqlxHtYLBbk83lkMpmuBewHSbPiol8H4Gzy46g85szCjc1WIUDu8ZSyME/C7I3y5xKJhNRtPIfMz88L44gQgmAwWJX/G41Gcf36dezs7CAcDnd1jRSLReEJPDk5QbFYhNPpxPb2Ni5fviy0+JLJ5Mhfi6VSSRzgnE6nkH5JJpNCsFp6PSWSxmgxPD0ej/B48nWJH1gtFguuXLmChYUFAOX5xsPp9fQ825VV4g6ueodH7u10Op3Cq6r2jo5rZXtDjyel9IVBDmTU4D1a+f+bwTevcfvy+wEPszeCMYZUKiX00CTnA0KIOKDx8BEhBJubm3j48CF0Oh1KpRKi0Sii0Sj0ej2mpqYwPT0tvHutKBaL8Pv98Hg8YvNwOBxYWlqqCqMZDAbRozmZTI50FyD1JmOz2WA0GkV/6O3tbfj9fkQiEaTT6boyLBLJeUdL8U2xWEQwGBQFj1wGMBgMYm5uDoQQLC8vw2Aw4PDwUOxzXM+ztn1mO4WLzToWccPT5XIJwzSVSomcznGtbJfNxRuQz+eFwdkqf4IbnoVCoWsR2XEmm80ilUqBENLU+yvD7eePVCqFZDIp5McAYHJyEm63G4QQlEolXLt2DSsrK7BarcKIvHv3Lm7fvg2Px1MlyaSmWCzC4/Hg5s2bODo6QrFYFIv45cuX6xqW49LUQJ03HolERKu8XC6HYrGImZkZANLrKZE0otG6UYvP5xOeSx7l9Hq9VXv63NwczGYzcrmcaLvJ97xOZZUaCcczxqo8qiaTCUajEcViUTi5xtXjKQ3PBqg3pNpcxWbeF60X+VmEh9ntdntTA3zUN3tJ7+ESSuocznA4XJWfmM/nMT8/j2vXruHq1auYm5uDwWBAJpPB0dERrl+/jgcPHohQfKlUgtfrFQZnoVCA3W7H1tYWtre3ATSeq+rK1FGGj0+v1+Pg4AC7u7ti7LFYDAsLCyCEIBwOy1QfiaQGxpimdBp++OUGXDqdhslkQi6XqxJtLxQKIlWHv2437TPVhUW1hidPBeKi9cCTcDx/zpn1eCqKMjWIgYwa6h7ttTTT6jrPXVh4+KFVWJTLUEjOB4VCQRQVZbNZEEIwNTUlxOVrF1OgvMCurq7imWeewcWLFzExMQGgvKg/evQI169fx40bN3B4eIhCoQCbzYZLly5he3sbLper5TXIPZ5cF28U4WkpwJN1KJlMCuM9FovBZDIJr6fH4xnOQCWSEUVrtTdfA0KhEKxWq5BJAsrzihuwd+/excHBQZVzpdbwbGd/y2QyKJVKMBqNpwor1WF2DjdO+brADdJcLjfy+epqtAhO/Z2iKC8D+AiAP6WU9myVVhTl9QA+iHInpN+glH6g5vffCeBnAHD111+ilP5Gr96/GeoFv/YLnZmZwfHxcd2LK5FItF3VdlZIJpMghLQ8fZVKJaTTaVmJe04IBAIiJ4kxhuXlZczOziKZTIpGA0B92ROdToeJiQlMTEwgn88jHA4jEAgI757VasXS0pII2WvFaDTCYrEgk8kgmUyOZM5xOp2uu8bwDSkej6NUKmFhYQGBQAChUAiLi4tjI4wvkfQbrTJtfJ9X62EWi0UYDAak02nE43GkUilhyNpsNnFQ5oYm19ZsZ01plt9Za9Dy9wWqJZV4Pmo2mx2bPG8thudlAF+Dcr/2X1QU5eMAPkopvd/NGyuKogfwywD+JYBDAF9QFOWTlNLbNQ/9OKX0nd28Vydwlzs3Ot/8osqb8GK1Z+ETzy+I/5/3cJfD4cDXfvhB08d84vkFJBIJaXieAxhjoi87Ywx2u10k609NTeHk5ETMtVbRAqPRiLm5OczNzSGdTotczk6Fkx0OBzKZDBKJxEganvXSfbi0Gw8DxuNxuN1uTE9PIxAIwOPxVPWelkjOM1rTutbX17G7uwvgiTEYi8UwNzcHj8eDk5OTqr09Ho9jamoKoVBIhMsdDgdcLhcymQxisZimNaVRmJ3LMwKoylFXezzVHYzOnOFZ8XD+BYC/UBTlqwH8FwD/u6IorwB4D6X08x2+91cA2KGUPgIARVF+H8A3Aqg1PAdOoVAQVbHtuq/HLdei12jtPhONRkWujGQ8KRaLODg4EBXr/Een04n/p9PpqnDXxMQEIpEICCFCkiQWi0Gn0yGfz2vu/tWLBdbpdCIQCCAejwuplFFCvWnybkWzs7M4Pj4W61MsFoPb7RZez2AwiMXFxbHS9JNI+oXW1LepqSlEo1GREqTX61EsFmE2m6udTnX4xPPluccNT5/Pp7l9ZiMpJe7ttNvtVXuqwWAQh04eNbRYLIjFYmNle7Q0PBVFmQbwvwF4GwAvgHcB+CSAVwN4EcCFDt97GcCB6vYhgK+s87g3K4ryHID7AH6AUnpQ+wBFUd7x1re+Fc8991yHQ6mmmy4qvBp+nNpXdQsvqCKEaM6p4eGJ8/Q5jTrtzqNSqYRgMNjWexwdne6ZXCqVquSNeD5nv1FXto/ataiuaOVwuSkezgPKB7jV1VWYzWZMT08jGAzi5OTk3Hs9eQrHsFoY93pPknRGO9Xea2trSCQSQjEC0F4oFA6Hsb6+DofDobl9Jk85A057POuF2Tl2ux25XE4UZo5jZbuWUPvnAfw2gG+ilB6q7v97RVF+rYv3rrfK1yY0/QmA36OUZhVF+R4AvwXgX9Q+iVL6IQC0i7FU0W37vnZ1vMYdXvXncDg0VwnzNl/SMzM6tDuP9Ho91tfXwRgTPzxPijGGfD4vDFO9Xg+32131WL44A0+S+1Op1MAMT976jsuAjVLP81wuV7fzVzKZxNLSEo6PjwFAhNjMZjMWFhYQDAal1xPA4eEhotEoNjc3B3Y9qen1niRpH7UWtxbMoKZDAAAgAElEQVT0ej02Nzdx9+5dcZ/Wtrr8ED4zMwO73Y5EIoF4PN603oPncFssllORQrVwfC12ux3hcBjJZBIzMzNjWdmuxfDcblRQRCn96S7e+xDAqur2CoDjmtdXu1N+HUA376eZbuV+0un0uTI8eTU7r7DTCi+GkIwnOp1OVFTXY2dnR/z/8uXLp8JJBwcHQmaJe8oHrQrhcDiqWt+NCuoDHC/K4vAQGz8g87QVi8Ui8s48Hg/W19cHPu5RIJVKiXQOmUd+fulE2tBut2NhYUEoRGhJteMtNo+OjjA1NaW5fWajMHsul0Mmk4FOp6ubJ1pbYHSmPJ6KovwJKh5IRVFO/Z5S+qYu3/sLALYURbmActX6twL49poxLFJKuTLymwDc6fI9NdGtx1PdS/Wsk8/nxSbZzukSKPfHlYbn2SSXywlvwczMTF0DwOFwwOfzVSlHqJPmB4HT6UQwGBw5bdna/E414XAYGxsb2NvbA1CdL724uIhQKCS8nu0eBs8CXEyfy1Gd9c8gk8nA5/NhaWmpaWj3vNGpB3BpaQnBYFCz4ToxMYFAIIBCoQCv1wuXyyW6izVbyxoVFvH91Ol01n0uX0vT6TRKpRJMJhMIIcjn8ygWi5rrLIZJs6v0P/XzjSmlBUVR3gngz1CWU/owpfSWoig/CeDvKaWfBPB9iqK8CUABQAjAd/ZzTED5hNOtCPx50vJUhyLaFeM+j/mw5wVeIarT6bC6ulr3MVxGiRudhBAUCoW+p2CcnJzA7/dje3tbhLJGLc+zlSGcTqdht9uRTCYRi8VQKpWg0+lgsVgwOTmJcDgMj8eDtbW1AY14NODeTs4oebH7xePHjxGPx0EIaTjXziOdKsxEo9G2ioodDgcCgQCAsubn9PS0pvaZjaSUmoXZgXJKAM/z5u2nzWYzMpkMstnsWHj5m/Vq/6t+vzml9NMAPl1z33tV//9RAD/a73Go6YUc0nmSVFJ3deCbXztEo9Gh5GBJ+kcikRCG08LCQt1rolgs4tGjR1X3qfM8+2l4BgIB5PN5kepRWyU6bPL5fMuwWSAQwMWLF3H/flnVLhKJYGqq3OtjcXFR6J0uLi4OrcBmGKhbh/IWg2cZniYCAMFgEMvLy22vwWeVdh0hpVIJR0dHIv1HK+qIRKlUwsnJCVwuF8LhMGKxWF3Ds1gsIpPJgBBySqGjnnB8LXa7va7hmclkRmINa4WWqvYtAD8F4BoA8QlSSjf7OK6h0W2YHSiHnDsxwsaNQqFwquqvXfmpo6MjaXieIUqlUpW3s5FMUa1XgedJAeWIQb9SVfL5vMgnjUajWFxchMPhQCgUQjweH4lFmxvtXNKlHnzj4sVRHo9HGJ5Wq1XIVnk8HqyuroqQ81kOxapzO7lm7FmHe9qA8jURCoWa5l2fJ9pxAGWzWTx69Ejs/zxqoIVIJFKlNMEPfMATLdBaeFTUarWeshMKhYJocNEIm82GYDBY1TozGo2OTZ6nFsvoIwB+FeVw91cD+BjKVe5nkl4YnsD58HryMHs34tuZTGZkWxZK2sfj8QjDjvcRr0ftoq5efHs1B+uhDmHzqnp1uH0U4ONoNS+8Xq/Y1NLpdNWmwzc+v98Pv9+PO3fu4M6dO5rlzsYRXunPveXjIqbdKYwxoRoxPT0NAKJZg6S94qI7d+6Iw9nly5eFQed2u1s+NxaLiUMOP7hyb2uj9pnNOhYBjfM7ObWtM/k1Py6V7VoMTyul9DMACKV0n1L6ftSRNDor9Co/c1wugG7gxgPfuDtNatYqWSEZbdLptAh1EkIwOztb93GFQuHUd642iPrZP712fkejUXH9ttNjuZ9ww7NV9CCbzVaFkg8Pn6jd2Ww2IV91cFCWPs7lcnjw4EHbRYDjQCqVQjQarVIAODk5qcr3PGtEo1Hk83lYLBasra1Br9cjlUr19eA2TrQzl4vFIiYmJnD16lXRGtNqtWJzs3VgV50bTgiBXq9HIpGA0WhEqVSqe6BtVFjEaRZmB8qHKt6eulgsCu/oWfJ4ZhRF0QF4oCjKOxVF+WYAZ7LlDGOsrqeyE2mks+7xLBaLIszOJ3in+VTcUyEpG/PjaBgwxkSVNVDuBKIO6zLGkEgkcHBwgJs3b9bdFPj1UyqV+raA8k2AL+zRaFTkAvLw9bBpZDjUywfz+/3CcI5EIlXrDvd6MsZgtVpFOHBnZ6ftlJhRh68hMzMz4tphjI1E6kS/4N5Nu92OO3fuiGtaej3bZ3V1VRiZ/PDcTr4sn3epVArz8/MAnhwc64nQ15NSUs/JVoanTqcTa4E6J34U1i8taPlUvx+ADcD3AfgylDsYfUc/BzUsGn1pneRq9uvUOQoeGaC8YTPG4HA4xGbeqcHEZSHOO+l0Go8ePcLNmzcb5vaNKl6vt+qan5ubqzI2b9y4gXv37sHn82n62/qhDFEqlcQYeTu72grSdgsS+kW94iqLxXIqf69Wf7ReZyigvMFtbW3BaDQimUzi4cOHI7OWdEsymRTeTnXaj16v71qhZFTJ5XKIxWKiS04mkxHGTygUGrv1Y9jMzc2BEAKPx4NisQin09nS+FOTTCZhNpvFYcdkMjXsfsRbA3MVCvVrAOV5rsWJo9bzNBqN0Ol0KBaLY+G40NKr/QuV/yYAvL2/wxkujYzFTozIXns8i8Ui7t69C6PRiK2traHLvvAwO9csAzo3PIFyRWaj0Ox5gDEmqryLxeJYGQWZTKbKa221WhEMBhEOh6s2fp1OB4PB0DDPUP3YZDIp8tZ6hbpTiN1uF4U5yWRSFBglEom6xQCDxmg0nvL61va956jXp2g0ikQiAbvdjv39fXF/OBzGysoKLl++jLt37yIWi2Fvbw8bGxtDX0u6hXuo5ubmqj6zs2x88aIidbc4dbFZKBQ61+tpJ+RyOVHRvry83Pa8MBgMYj1ZXl4WRZapVKqqfaY6zK5+Dy3V7GrsdjsCgQBSqRQIITCbzSLXe9SLCLVUtX85gB8HsK5+PKX0VX0c11CoZ2DWdg3RSqFQaNmrtR0ikYiQS/B4PEMVXi8WiyJHr1eV+z6f71wvlIFAQHjcl5eXR37h4PAQe21nnXoHr1Kp1LK4hc83rT2S24F75rmH0O12w+fzIRqNCiOX53kO2xhrNK8CgQDcbndVjmwsFhOSUEDZ6+l2u5FOp0Vb0Hg8LkTGt7a2cP/+fYRCIRgMBqysrAz97+0U7u3U6XSYn58Xmz1QNsrOYmU7Y0wYnvw64WkU/PDm9/sxMzMztt/rMDg6OgJjDJOTkx1dN3z+xeNxLC4uwufzCSNT3T6zUceiZv3Z68HHqPaUptNpZDKZkb/utVgNv4NyZfubAfwr1c+Zo57h2Y1h1UuvJ69eBMon/GEmkPOODFzAuheoF83zRrFYFAUgVqtV5AiNOslkEtevX295DZhMJrhcLszPz7fU5+QGbDab7bnXl4+Th2N5xWo0GoXZbBaSTsNK0K/VA6xHsVis+xny5xJCkEgkhAd6dXVVpBV4vV7kcjnY7XZcvHgRhBD4fD7RHnAc4d7O2dlZGAyGqkKOs9oVLRaLIZ/Pw2QyCWPlwoULsNvtQsYvnU6fq0Ym3ZJKpRAKhUAIwfLyckevwfcvXhy5srIifqdW8ahXWFQoFE6tT62wWCzQ6XTI5XLI5/Nj1TpTi1vFX+kidKbh7dVq6SZck06nG3YfaIdcLic6U0xOTiIUCmFvbw9XrlwZilYon0QTExM93bT8fr/YJM8T6ny7UUij0Ar36qsxGo2YnJyE1WoVBS1c7YC3lNMKD4H3Ap5vCjxZ8B0Oh9ik8/k8nE4nwuEw4vF4RwWF3aKWRmnmGY5EIqc0PvmmZzAYREcwt9stNHK5rufR0REuXLgAl8uFCxcu4NGjRzg+PobBYBi7iEOttzOXy4l5pNPpcHx8DKPReOZklbi30263IxwOw2q1Ip1OY2VlBffu3ROHFr/f37P5M050kvLFc6NnZ2e7al7BD6/JZFLkicZiMVETAdSXUlLnltdTh2GMoVQqVf2OEAKbzYZEIoFUKiXWrHEoMNJieL5PUZTfAPAZAMKUppT+Ud9GNQRyuVzPC1x65fEMhUIAyh6atbU1JJNJIV3T6emsU0qlkgjz8UrgXm3SPp8PCwsLKBQKyOfzKBQKIIS01DQbZ7ihA5RD7OPUacVqtcJgMMBgMIguHFevXm34N6i99loIhUI92zh5Qj9vNweUjROXy4VIJIJoNAqHwyG+j2EYYdwwdjgcTT+rXC4Hp9NZtxBKHTVQh+xWVlYQjUZF7p/D4cDk5CTW1tbw+PFjPH78GAaDoW/C/f2Ae3VnZ2dhNBqrDsGMMSSTyTOX55nP54VEFD+cEEKwt7eH5eVlTE1Nif0iHA5jdXV1bNJ2ekUnhlcsFoNOp+vaS85tiHg8DqfTidXVVdy6dQulUgmRSARWqxXFYhEGg6FqnWxV1Hh8fAyPx4Pt7e2qNZEbnslkUsz3cfB4anGXvR3AqwG8Hk/C7G/s56CGQT9C170wPGtFgvV6PTY2NgCUxboHHU7hfaFtNpv4+3rh1QXK3uUvfvGLuHHjBu7evYudnR08ePBAcweJcaNQKIicNLPZLIzuccFkMuFVr3qV+P4nJyebGs5aZF7qJdv3ArW3U/0e6nB7bd/2QcPHqOUgp6X63ufzib/DbDaLFI6DgwNx/+zsrIgy7O7u9iW3th/wHvXc2wlUd/HhqUCjnuvWLvxvdLlcYu3nhlYwGMTS0pKIgqn3jvNEpx6/hYWFjox0tci82vAEynOZe1APDw8brkPN5h2v6wBOH97VQvJqj2ev1q98Po/9/f2e20daPuVnKaXP9PRdR5B+GJ6pVKrrQgWeLKzX68WJxuFwYH5+Hl6vF7u7u7h27drAQu7cCJycnDyV4N4rjEYjDAYDGGPIZDJVfajPCoyxqhD7xYsXUSwWcefOHTgcDiEIPeqUSiXhYWlWDa6l/zhQneeYzWZ71npWnT91cnKCYDCIS5cuiU0jFovhwoULQoInl8v1tV98LepUgG49VIQQmEwmZLNZBINBIcG0sLCAYDCIVCp16v5CoQCfz4eHDx/i8uXLI2+w1Xo7GWOnrq9kMgmv19uwbeu4oS4q4muDzWYTe1cmk0GhUMD8/LzIffX7/UIq6LxQu5dr+duNRmPHufVzc3OnGmIkk0mxds3NzeHg4AC5XE7sn+r5lc1mkc1mG673aom0SCSCtbU18TepJZX0er1IweFtN7slEAggEAggn8/j0qVLXb8eR8uK/reKolzr2TuOKP0QfGeMdV0ww084U1NTVRvw0tISLBYLstlsQ+2+XqMOs1utVjFZ2m012MqQePrpp3Ht2jVxofNiprOE3+8Xn9vMzAysVqtYnDKZzFBydzuBawa28i610yRAnZPXq84z6v7nx8fHyGaz2Nvbg8FggM1mE4bfsPQ8s9ms8HZ3m/LDGBPG1vHxsXg9vV4vCh6Ojo5EGJoQgpWVFUxNTaFUKmFnZ2ek88TU3k7+dzbKHR7k4aHfxONx5HI5mEymU21VuZERCoWqPHfZbHZktGkHRa3hqeUQpfYUt4vX6z1Voa4+SPI8a+DJumIymcR3x++rFzlMJBKIRCJCik5dhASUr2+9Xi/S03qZ56k+6PQ69UjL0fqfAfgORVF2Uc7xJABYL+SUFEV5PYAPAtAD+A1K6Qdqfm9GuTf8lwEIAngLpXSv2/etR7+qxLmkSScwxoQ3qVbTUKfTYWNjA3fv3oXP58PExETPQt6NiMfjKBaLsFqt4sJ2uVxth8L5SbDRBuv1erG4uAiz2SxkQtRGwbiTTqdFFbtOp8PKygoikQiCwSAIIWOjrcgYE7p3rRYmfh1rwWQyiYOg3+/v2tutFo5Xh2OTySR8Ph/cbrdouehwOBCJRBCPx0+JtfcTtXHQi00jkUiIohO/3y+8OZOTk0Lm5eTkRBii/LorFAqIxWK4f/8+rly50vHa1U/4IWZubk5ERuoVOZ61wiJ+7TqdTgSDQRiNRqTTafHdPXjwAKFQCCsrK1hdXRVpPH6/vy0x9HGndv5oMTy70QyOxWJYX1+v0s0FynPa5XIJSTO1Usfe3h4ODw9ht9uFp752nIwx0QZ3fn4ehUIBfr9frFPAkwKjeDwuROyTySSy2WzX+2U0GhWRn15fP1pM/NcD2ALwtXiS39m1nJKiKHoAvwzg6wFcA/BtdTyr3w0gTCm9BODnAfx0t+9bD1540A/a9QaqicViKBQKwgDb3d2t8m7a7XaRDL23t9f3RHp1mJ17Pju9IJuFAbxer5ig6taGZ4FSqSSE4oGy3E2pVBKL1vLy8thslqlUCplMpmVRSjQabcuLl0qlxPWRSCS69gByD4HBYDgV2Tg6OhJeAvWC3s287QT1+/XiEKwOpZ+cnFR5N1dXVwGUc0DVmzQhBJubm7Db7cjn8yPZ1z2RSJzK7YxEInXXPp4ycRZQFxXxv5Vfty6XC+l0GkajURgnTqdT/D4SiZwbqbpisXjqWtCynnZ70Pd6vadC5erDpDoPVKfTCS9lNBoVc5Dv7fv7+wgEAvD5fHj9Rx/izS968Npf+CKe+5UbePOLHvzTX3wZG+/57+L1GuV5dgvPye+HHizREsJUFOVZAP+8cvNzlNJXun1jRVFeA+D9lNKvq9z+UQCglP6U6jF/VnnM5xVFMQDwAJillJ4a9AsvvNDXWOxH0l/e8Hdvt/59P9967Gj2WQHy8+o173vf+3q2KvR7HknaQ647g0XOpbNJN3vSMPezcZ3/reaRls5F7wbw7wBw+aT/oijKhyilv9jl2JYBHKhuHwL4ykaPoZQWFEWJApgGEFA/SFGUd2jRf+zmS+zmSx7WRT+s53Y7Ibr5nkbxua2ePyqGei/mEdC/8Q7zMx7WdSXXncE8t9cMYk86a89t9fxh7UnDmoP9fO9+fsdaaOnxVBTlOoDXUEqTldt2AJ/vNsdTUZTnAXwdpfTfVm6/DcBXUErfpXrMrcpjDiu3H1YeU08jop4XFO973/vEbbV7upZPPN+88vHpp5/GnTt3UCwWcfHiRRHa3t7eRjQabSqk/uYXm4us733gDafGHAgEsL+/r/m5Ho8HR0dHMBqNuHbtGgwGQ9O/t/Z9a2n13E88v4Dl5WUcHx+DMYZPfepTeOMbT6tsLS0tndJGi0aj2NnZafjazf7mZmNuNe7a57ZzfXTzvgDw4P/8Wty+fVuELicnJ7GysoJbt27hmz/evPCm3vVRQy/jIF3NIwB4+B9fj3A4DJ/P17Oivaeffhrb7/t/mj6m3vf73ve+Fy+//HLLz/iP/s0iGGNwOByYmJjA4eEhpqenhXRZv66NvQ+8AaFQCLu7u3C5XPjd3/3duvOoE1qtHX/7/V+Go6MjmM1mPPXUU1XhtHbWjnavj27XnYWF8tpTKpXwyiuviFSMdtbZeuOuMDJziY83Ho/j/v37Qu2DNyb52g8/aPjcL/zQV2B6ehrJZBL3798HUA732mw25PN5fNWv3mz43E9++yp0Oh0IISCE4MUXX8Rb3vIWcbvZ+3a7TnZzbex94A04PDyE1+sV+5HZbMbTTz+NBw8eIBaLYXNzE9FoFMFgEJOTk9jc3Gz6ms3Y3d1FKBSq6uBX29ih1TX559+1hXg8jgsXLmBqagovvPACfuInfgI3b95EoVDA2toaotFoVYvqUqkEh8OB7e1t8TrXr19HPp/HlStXcPfuXRBC8K//4KTpZ9WIUqmEzR/7U83P7WQeaSkuIgDUSRPFVi+qkUMAq6rbKwBqdwf+mMNKqN0NQHuVQo/gItO8etftdmN2dhYejwcejwcXL17seds5rcUY+/v7KJVKKBaLQgrm5s2bAxEit9vtLavN1RV9HLfb3dN2m+PA3t6eMDp5W7a9vb2eNy0YBW7cuHEqz6p2QW4XXozVLqlUStNnzK/jRCIhDkqDyvNUC8cPkrm5OQQCAWSzWfh8vrFo1cpzO0ulEu7fv38m508tvKjI7XYjEAiAENLyQBcMBjE7Owun0ymaDcTjcdEqFWhseL7qVad9SleuXFHdamx4Dpva/GiHw1FVYW42m4VSTLdd8paWlhAOh5FMJmE0GpHP59te4/i41IVAHo8HhUIBDocDiUSiqr6BX++JRAKFQkGoF9hsNpEvyqvfO6VXSiLN0GJ4fgTA3ymK8l8rt78JwG/24L2/AGBLUZQLAI4AfCuAb695zCcBfAeAzwP4FgD/b738zn6zuLgoCkIWFhZACMHc3By8Xi+i0Siy2azQ1ewF7UhgqKt0OfUSrHsNr55rhslkapjYvbGxgVu3brX9vr3SdRw0aoHghYUFRKNRxOPxM9lVhB/QrFaruD67vR47LS7TKjXGNw6gXMih0+mQzWaFfE0/GZbhqdPpsLq6ip2dHZycnGBqamrkO2fNzc1Bp9Ph4cOH5+LgWigUTqmGOJ1OxGIxfOL5smwSIQT5fB7T09NYXV3F9evXRWWz2WzG+vo6bt68iVKpdKZ0TetRa5DbbDZkMhmUSqUqtQx18VWnmM1mYQdwp0+7MMZgtVqr5h23I7iqjU6nw+bmJh4/foxcLie8ntFoVFTj2+12RKNRUWDUzaFZS6OPbmm5g1NKfw7Ad6HsaQwDeDul9D93+8aU0gKAdwL4MwB3APwBpfSWoig/qSjKmyoP+00A04qi7AD4QQDv6fZ928VsNotezlarVVSnGY1G8aV7vd6etq7k3k4tG57dbsfGxgY2Nzdx6dIlIWvTb/Fxt9vd8mTUTAbHYrF0JJMz6GrjXmM0GkUoFwDW1taGPKLeYzQaRWvXbujFAUPrAW59fV38PxwOD6y6vVgsCkmcYYi2u1wuuFwuFIvFtrRWh8Xs7Cx2dnbGpsNSt4RCITDG4HQ6T1W1A+V1lBs8wWAQuVxORJm4Z89sNotr6/j4+My1EeWUSqVTnj7eUhIo75X8M6wXieuEhYUF6PV60eSlE2qVYRhjMBgMQhR+a2sLbrdbeGi511O9/6qF5LvRrk2n0wPZY7W6W14GcMIfryjKGqX0cbdvTin9NIBP19z3XtX/MwCe7/Z9umFxcVF0gVhYWBDahW63G/Pz8wgEAqJV2eTkZE/aO3LDU4sUSDKZxNLSkrh4XS4XMplM30WDXS5Xy5NRq77PKysrbek7AmXP1zhq0hFCwBjD8vIy9vf3wRjD9PT0WPXG1ko+n8e9e/e6DoN28/x2n+v1eoXWXjQaFVJEsVisr12z+CJvs9kG7snn3lzeTzoQCGB2dvaUGPYosbu7O/aHT62oBby5VqPJZBIHOqvVikQiAZ1OB6fTiWg0iuPjY8zOziIUCiEYDGJxcRGEECwtLeHBgwdgjI3FAaMT6kkIqaMuNptN/O29MjwNBgMWFxdxeHjYseQQ38/UaQK889DW1paIGk5NTeHx48dibePtq3U6XZWkklq6qV0G4e0ENHg8FUV5FwAvgL8A8CkA/73y75mHbwTZbBYmkwmTk5M4OjrC4eEhHj16BIvFArfbLYxRtdekG9rV4Nrf36/S6dvY2Oj7JsaFm2vhk89gMLTUTzMajU3bLNZjXPU8eeFKJpMROpVcT/GsMTk5qcnw66dIfrtpL/F4vKrlIt+sgsFgRykhWlGH2QfdnYvnSFosFjEP1X3cR5FEIjEWrWR7QTKZRDqdrtKf5eu6Os9zbW0N6+vrIISILjdGoxG5XE4YqU6nU0TQeNOHfjBMb2rtvslbSKoPKowx2Gy2nqbPzM7OwmQyoVAotL3vEkJEdEWdx242m7G9vV21hxJCqppalEol4WAyGAyiG1Kn62qxWDzVC75faPF4vhvAdoNK8jMNz98Ayt5OXqkLlF3S4XBY5Ov5/X4sLCzAZDL1TLRYi8uc9+o9OjoSYVvuxThdq9UadTeaZjQKs/NNa2pqStMEWFxcbGshzGazyGQyXefnDIOZmRns7e0BKOe46vX6jotmRpnl5WVNnv9+GTiZTEZEKQDtvc+tVqtoPVf7ev1CbXgOOmcxm81id3cXm5ubWFxcRCgUQiKR6EnUpp/odLozGy5Www8/k5OTwhPFr0X+GUxPT2N6ehqMMczPz8Pj8eD4+BhTU1Pwer0IBoNwOBwghGB+fr7v600kEumqC1A31OZ38vmczWarDPVeeTs5Op0Oy8vLolNUOzgcDuh0Ovh8PrEWWK1WbG1twWg0gjGGVCqFSCSCbDaLpaWlqv0yEokID6fdbkcul+s4UhQKhUTFfL/RYp4fABhPN1OX8PxOXiVWe2Ht7e2J/Bl+WujG61m7EfN2ds3g7+f3+6vC651M/lwuhwcPHoj8w2Z0k9+pxmAwtF1NO45ez+npaaF8MDc3B5fLhUQi0Vfvw7DoVZGdGq1eLsYYHj9+XDWXtFZ4ptPpqjAzPzj1Mn+7Fm5sOhyOuoWC/SYSieDk5AQGg0HkkGmZ/8PkvHTh4QcAfh2qD/LFYhFmsxmrq6s4Pj7GK6+8AovFAr1ej3g8LpwW4XBYGCJanQGNYIy1nNvDuIY5tQc3XhUOlI0ynhfca8MTKB8ObDYbSqVSW5+xy+VCPB6vOhBcvnwZmUwGBwcHuHnzJu7evQuPxyMcX+oK+EgkItY6vnZ14vhijInDTa/7stdDi+H5CMBnFUX5UUVRfpD/9Htgw2ZiYkJMIr1eL3JDdDodLl++DKDs6r537574orxeb1enBbUxNzU1pckDYjQahfwLl1YC2g9jhkIh3L59W3OldT0vEA8z6PX6tvLEanU+WzEIuYdeQwgRntrl5WVks1mhr3fW6EeekNYQVigUQjwe7zgcqz7U8AW9n20XGWOwWCwwGAxDK5g5OTkRLTatVqsmw66Rt1qLd/jo6Kju87V4wEe96r6XcO8Tvy7Unw9vbxoIBERL1P39fZEvGAgEYLVaUSwWxTVtMBg6zldmjOHg4KDloSSRSPQ1QtCMWo+nOorA24ny9tO9hkvkdfI8vg/wPeUiCLYAACAASURBVPvWrVu4f/8+fD4fcrlcVSFzIBCo2i8LhYLIDVXnebabSqBO6+iHYV6LlhjU48qPqfJzLnA6neIUos792tjYgNPpFIVE2WwWXq9XhNgjkUjVSasduEeMh0Xu3r3b8jk7Ozu4dOkSwuEwMpkMjo6O2sodLBQKODg4EEU+bre74kVt3+vBjd7Jycm2DF+9Xi+05rRQq2E2DvBDzMbGhtAg5BvJJ55fgMViwbVr1/qa9zjOaDGG8vm82BhrN4FWDSKa0W8Pu8PhQLFYHLgnjxdTAeVDK/egaTkQJZPJU4dsHjFphcfjQS6Xw/T0tEhtyOfzmtbMZp9Rve+4W5HwYeN0OqvSRjjLy8tIp9NVhiBjTHhJU6kUJiYmkE6nhVg6UPZmdZLH9+jRI0QiEU3rUyAQ0BSt6zW1kQ2r1Sr2VL43TUxM9G2N5QoR7Rwga78/oPx38JqSiYkJ2O12EEJEb3deZMYPxJFIBHa7XTh7eIOBdlD3ZWeM4b++ZakqZO92u3Hp0qW2XrMZLXduSukLPXu3McFsNldNdq7x53K5xGmA53wC5S+anzA8Hg+WlpbaNjx50QkAkcehxQOQSqWwt7eH9fV13Lt3Dz6fD5OTk5o8r/F4HLu7u0K3cGVlBTMzM11PzE5O1aurq7h9+7bmxx8dHfWsmKtbtIZyFxcXYbVacf/+/VNetJWVFWl0dgnXKrTZbD3xinO9vH56PIGy4dlvFYp6ZLNZ8TcyxrCzs4OrV69WjJTmDTECgUDVGlMoFPDgwQPNn1UoFGpb0aIT2o2mjBJ6vb7K6cFxuVywWCxV3d8WFhbg8/mqjAU+B7iwuMVigc1ma1n0qYYb+pFIBHq9vmLEN+6IA5QL8paXl4e+nnFJIuBJxXi/vXkrKytt7WNquCf26tWrsFqtpz6/+fl5RKNR+Hw+LC8v4/HjsrBQOBzG8vIy9Ho9LBZL29JOaq3YmZkZketZ+3f1Ei292mcB/AcATwEQPmpK6b/o6UhGiHw+Lz746elpBINBEEKwtrYmLgabzSa8dHq9HrlcTiQwdzLheNEJUD7lahW+5iE6nivp9Xqxv7+Pq1evtnwu92zYbDZcuHChJyEInU7XUbqB1WoVm2AzuJcmEAhgfn5+6EVGkUhELADNsNlsWFhYwKNHj06lULhcLpEg7vP5YLPZBi4mfhbg105t95JuX6/fNPJqDQJ1ak6xWMSDBw9w8eJFlKWVGxMOh7G6uio2uJ2dHc1Ff1xaDHiia5tIJHrWXlWN1+sVbU/HjcnJSREp4Z8Z79ykNjoXFxextLQEu92Ohw8fVj2ec/v2bUxNTWFmZqZSGd26ECaTyYj3MZlM2Nzc1JT+VSgUEIlEhi4Vl06nwRgT3kGDwdB3rVyr1SpshnZYX1/HzMwM/vAP/7BhmprD4RAd/3j1OmMM2WxWNAuw2+1tpzoEAgEwxuByuWAymU7l8fZjn9WSOPU7AO4CuADgBQB7KHcdOrOok7G5J2JpaelUlTkviiGEVMkLeb3etk6V8Xi8akJrNToB4NKlS9DpdMJ7wE88WjeyxcVFXLlypWcXltvt7vikqyWpWe0B2N3dHZr0Sz6fx8OHD/Hw4UNNIdL19XUcHBzUDduurKwgm83i4cOHODg4wL1797pqeSYZH4xGI0wm01AK5vh84xsY97BpqXwulUpVnpFkMgmDwaApB/NLvuRLsL29DZ1Oh3w+L/LL+uEh64cxOwz4OrewsICHDx+K27Ozs3C5XDg8PITD4RByOzwNiedGM8YQDAZFVKwZDx48wK1bt3Dr1i2x3uZyOdy9e1dzVXyvW0h3grp/OtDd3tQOS0tLbRcYqWWSGsFT8ICyjaF+DvdYcqNV6/6h1oqdnZ1FIpGo2mN5Glyv91ktSXLTlNLfVBTl3ZTSvwLwV4qi/FVPRzGicE+m1WqtW3nNQx6ZTAZLS0vwer0oFouIx+NYWFjQvOjt7+9X3W4n7Ga327G5uYmdnR14vV7Mzc0hk8lomvhOp7PrfrW1dCOlMTMz01ZFdCqVwvHxscjnG0RxBl/ADw8PUSwWhZRGq9BkNBqtW/HpcDjw+PHjqtQMQshYtgWVtI/T6UQ2m9Wc39ltz3s13HvCPcTFYlFURWvB7/dXzblCoaDpuVy7cHt7G/fv3xfv34/WpP0U/+83tV4zvV4Pv99fla/IU3cYYygWi1hZWRGatPxa4QeL6elpxGKxuuF7Nb1YR1Op1NBl7/iayufLIIpmgPJ1zKWtGuWWq+dxozA2Y6wqBxooG8886qf2jHI5R+7R1Zrywq8Hk8kEt9stPOYcl8uFnZ0dTE1NYWNjo2eGuxbDk6+IJ4qivAFlccjBZw4PCF4YpA5zqEPsavgJZH9/H+FwGFtbW7h3754wTrTCF4LaiaHVa+p2u7GxsYG9vT34fD7NCc7JZFJ0PmCMIZ/PI5PJdFyVSAjpqquQxWKBTqdrqxDE4/GIv7eVsd2NuC5Q/p729/fF5upyubC2tqZJb5WrItSGwOrlAjPGxrYnvVZWVlbgcDiEiPl5xeFwtOXttFgsPdP73Nvbw+XLl/Hw4UOxCZpMJk3zn6cVqQ/XBoOh4kXV5u2y2WxV62wrg6gTxrkKvp6XiRsgdrsdBoOhKs2Hdyq6cOEC7t69e+qAYjAY8Mwzz1T2hs49kv/jOy/CbDbDYDCgVCo1lFDa29vDlStXOn6fbuHzhPc3H2THu4WFBfj9/oaHRK7D6nQ6hXYu/27v3LlTZWyqWVxcxPz8PB4/fgyfzyfslVwuh0KhIHJDtRqe6qIiXrzEMRgMwpOaSCR66i3WsrP9X4qiuAH8EIAfBvAbAH6gZyMYIQwGgzAEstksGGOYmZlpmm83NTUlOkuUSiVcuHABQGdac7Un/naq06enp4XnT6skUqlUws7ODu7cuYOXX34ZN27cwIMHDzoWGeZCxd3QjoYY31QePHigycPbjT6hx+PBrVu3RE7vxsYGLl26BLPZrLmQjAsCq2lkXJ5lY8xisWB+fh52ux0LC+VDxjh3o+mmGl0tl6OFXovM88JETjqd1hT2q72O19bW8Mwzz7QVQclkMn3plGK32/HUU09hcXFx6HmGvYQbMdyLGAgEQAjB+vo6pqamwBiDx+OB3W4X34P6oKtWLmnF5OQktra28NRTTwF4sjfx1KwLFy4Iyb+ZmZm6+00ymRxqe1NedwGUnQSDPMjr9fqmc4GvGfF4HI8fP8bJyYkw4FOplPg9LxjiNsjJyYkw+tPpdJVH3+PxQKfTaXZY5XI5RKNR0RGpNtqoDtf3sqId0FbVzttjRgF8dU/ffcSwWCxIJBKiG5DBYGipzaXT6TA7O4uTkxN4vV5cunSpIzklQkhVlafdbm+76nNubg7JZBKRSERzjoc6NKbX62G1WisLW/sn4l4IzzYKt9d6CoEnk5d7Mre2ttBs3Lxwp5N0AJ53OzU1hZWVFWFEejwezTm59QyUegbmsKtB+43a0Jmbm4Pf70c+n+9pGHmQ+P3+jlNWTCZTW4bnzMwMUqlUzwqocrkcDg4OMDs7K7wf7aw7/Fptd+4zxrC/v19VJNErZmZmEI/HEYlEsLCwcKbmk8FgQLFYRCaTgdFoxMWLF2G328V+EQgEsLCwgIWFBcRisap9KJ/PIx6Pt/T8bWxsnFojc7kcLBaLOCjmcjns7OygUCggnU7DarXCaDSeSi/b2dnBtWvX+pJG0Qi1gck9i4MKs6vhe1kj76PBYIDNZoPRaBQ/ALC9vS1uq/+Ww8NDeL1e7O3tYWZmRojK8wY3fr8fKysrwn5pBZ/vExMTMBgMDXN/19bW2qpZ0cJQhBAVRZkC8HEAGygXK/0bSumpPm2KohQB3KjcfEwpfVM/x8UnKQ81ra6uavIczs7OwuPxCNmKlZUVTRqcang+ByeZTGrybhwdHWFubk7ILHSSTD8xMYH5+fkaz+7Ntl9Hy0m6FTzcXmuQtdqYeI5TK/b392G1WtsSuAfK3sr19XW43W4wxsRJtddiydyAHuRC3S57H3gDgPJ8uXfvXlvPdTgcVdeZXq/HzMyMEMEeRwKBQMeGZyqV0mx0EULgdrvhcrmQTqfh8/mafmZaU1by+Tz8fr+QjdP6PXTTHpi35wTKc5dvnr1AnTPv9XrHWlJJbZRzI4oxJnL7+TphtVoxMTGBSCQCr9eL1dVVbGxs4Pbt21VraTAYbGl4qo1O9X6ytrYmxsCNTrvdjnw+L4rDeM0Dp1gs4ubNm5ifn2+7Q12nqFOf+LXci72pXZq10jQYDHj66afrRnoaRViXl5cRj8eRSqXE5x2Px8WhsVQqIZPJwG63t+wgVVtUxCvba5mYmIDFYuk6Ta2WYSWRvQfAZyilWwA+U7ldjzSl9NWVn74andzANBqNKJVKQiReC+rOAl6vF3a7vW0B13poMT48Hg+uX7+O/f19pNNp6PX6tk93kUgE9+7dw/379+tqeGmlV6EMLaG+erTqlct7GmutRFdz4cIFZDIZPHz4EC+//DLu37/fM6Oz9nM7PDw8s6F2HkHIZrN49OgRrl+/PjQpoV6Rz+c7bn3ajreTX7uPHj3qi6HezpyY+v/bO/cgx7K7vn/vQ+9nS2o9+qFu9WumZ2ZnN9jlKsqUMcEG25jymrCYZYN5mTn+A0yFBLDjUJik4qwDuKAwFMdxkZg8IKbM2s7igHEocEIKgg2Ld2d6drbfL6lfaqm7JbXULSl/qM/ZK7UeV2/19PlUdc20pKt71brnnN/5Pb4/j4d7v5qFNa2ofKwdjEZj1XzOfnWD6hRaY4DprXq9XszNzV1aH5iBzSIIJpMJ4XC47DWHh4e67xvmlQZKczKrbl5eXkYmk4HZbMbMzAxu3brF51bmia18n1gshpdffrnaaTpOpVPB4XD0rdkIa6VZSSgUajq9iHWrkmUZyWSSG6jacbu2tqZLMopFRVkYv5okoMFggMvlwqNHj8rkHjtBvwzP9wD47MX/Pwvg6T5dB4dNfGdnZ5c0O/XAdnMHBwc4OzvryO6uFW9CPp9vWjxblmXIsswF5b/5zW82fd5O0qrh2chYC4fDsNlsyOVyWF5ebuq9Hz16hM3NTSQSCX4e1t/61q1bLV0vUFowtdfNvD9XAZvNpmuzodW+PT4+xsLCAl555ZWyhHo2WV7VgqqNjQ2srKw0bUA1axhZrVa43W54vV4MDw/3rWo7Ho+XSSA1swm7f/9+x43mXC5X1XBuNrIx6IyPj2NiYqLqOLFarTwiw9KVvF5vmQOlWCzqXh/29/d51G10dJS3zWS60ZFIBPF4nG8c2d+61gaml7q4WvoRZmdIknSpat1gMLSclmYymXiqEosYJBIJnvd7cnICk8nUcB7V9mWvdT+Ew2GeRtZp/dOaKxwh5EMAXqCUtlZpUp8ApTQKAJTSKCHEX+N1ZkLI1wGcA3ieUvqFLlwLh4U1QqFQ0zIQZrMZLpeLy+YEg0FYLJaWQt+SJPFr0YbL2A6p2qTdTp5UoVDgO+O9vb2+a9+ZzeaO530BJaNmamoKCwsLZblPhUKhYXESy+lkhkUoFEIoFIIkSS3n2xmNxqqTNKvCHHSy2ayuxYR9j9VyE9n3zLp/5XK5nuR6Dg0NwefzYX9/n1dutgvrEx8Oh3Uvds3eO5lMBgaDAVarFU6nE+l0uicdgKqxt7fH56Rm2iRqjXM9TSPa4SpXtWthXYMahclDoRCSySSX11FVFeFwGCcnJ3yuYUZHPXK5XFkxpqqq2NnZwd7eHiRJgtfrxWuvvdbURqtX0kqVG/d+hNm1OByOMqUZp9OJ09NT5PP5Sz8AsL6+XvO54eFhvuGMx+N8rjSZTHzzF4vFGm64jo+PIcsyvF4vXnrppUvPB4NB7hW12+0dqd/QUs+18m8AfJgQsgTg9wH8IaW08R17ASHkqwCqxWI+2sT1hSml24SQKQB/Tgh5mVK6VPkiQsi95557Dm95y1uaeOvLFItFXnHbCtqWViynpRUXdbFYrGp0aRdjo9EIt9uNo6MjnJ6eVn39558Jwm63804HlWgn/Y2NDdy5c4cXLzRTXNTpCUWSJLjd7qYMAkmSGi4yrIvF9PQ079q0sbGBRCLR0Lucz+dRKBRgMBgwNTUFu92O8/NzbG9v65rIq1HtnKqqwmQydTynRg/NjqNmRaJZGogsyzyn8ObNm9ja2kI8Hud/j24bncxroCgKnE4njo+PdfUnb4SiKLyxgNfrxdjYWMe918ViEclkksuesHukMreuV7DvihVYNevB7bYXrF+GZ6fWJKB0v87OzuqSbbPZbNzI2d3dxcjICPdOsntcT+3AxsYGCoUCN9oSiQQ3RA0GA/eo2mw2XpzCfhRFweHhIWKxWNm60476QzNoHScWi0XX363baFtpHhwc1FVzqLeebG1tYWdnB4FAoCzHmlWnF4tF7O7u6iqg9Xg8lzTEAfBitaWlJa6a0Om1qN6suAzgDQDeBuB9AH6ZEPINlIzQP6KU1lUKppS+rdZzhJAdQkjowtsZAlA1QYpSun3x7zIh5C8A/CMAlwxPSumnAdB616MXlkDdCna7nXs54/E4PB5PU9JEN2/exIsvvoi7d+8il8vhtddeQz6f573XU6kUTk9PkclkkMvleF5ZPe9gKpXiLbwqX1MZ4l1fX+dVks3QjXBfMBjUbXiyz99okV9YWMDo6GhZdabe3Dw2CQcCARwfH2Nzc7Nj0jaKomB0dBRut5t/R/2oxG12HNnt9qbkcFgFJ5tYR0ZGUCgUYDQaO1pc0gjW6jGXy2Fvb6/l/MxK8vk8AoEAdnd3cXBwgKOjo7IK/k4wOzuLXC6Ho6MjJJNJPoZ7bXTOzMxga2uLL/KFQgEvvfRS21GKZjR8a6G9l/pleHZqTTKZTJifn28qHzAUCnHDMxAI8O4zWuWCeiQSCSQSCciyzCNh2tSkXC4Hg8HAm6Roi8S0/5rN5jIjsBfFg4qilM3L/Qyza7FYLAgGg3yzzmSSFEUp+wFen58qf05PT7G9vY10Oo2tra1L653RaEQ2m+VNAxohSdKlNZZ950xIfmRkpCue6nordZFSWgDwFQBfIYQYALwTwLMAfhVAO77XLwH4EQDPX/z7xcoXEEKGAKQppVlCiA/AmwH8+zbOyatxHzx4UDWc7PV62yoKYoLyq6ur2NnZgdfrvTBwGsvtSJLEB7DBYOCdcWw2GyKRSNmNlM/nkUwmcXh4iEQiUXWyV1WVy0Pt7+/DYDDAZrPVze9JJpNYWlpq2q3eaTc8AC6Eq63orOUdYe3+GoUtM5lMWY/jZjk+Pu5Ia0Ot3IXNZsPs7CwURUEikeBV97OzswMvA2O325vytB0fH5fJd1XutuulknSSxcXFtiqy65FIJDA/P4+1tTWkUqm27rdKTCYTHA4H191bWVlBPB6HzWYrmz96QTqdvmQM9at9bSXM6NSbgzzITE9PN12EwpQjTk5OsLu7y4uOxsbGcHBw0NDLzApN2MYQKP9ug8EgAoEAVlZWBq54S6vFDQyO4QmU8mQ9Hg8WFhZ4l6lqFex+f/XMQ5PJBKfTiUQige3t7UvzrrYBQ6N1SusA0BIOh7G/v49cLger1do1JYJ6hmfZqkcpPUPJYPwSIaRdUafnAXyOEPITANYBPAMAhJA3AvggpfQDAOYBUEJIAaUiqOcppQ/aPC+A0g1QuSAoiqI7R6keQ0ND2NrawunpKY6OjnQbZcVikYcylpeXcXh4CFmWq7apYjvYet5Upq/mdruRTqeRy+WQSCQwOjpaV3dSG8bTg8Fg6EoxDDPi2Q6xUChAURRe2VlJL3bTtSZsVVXx5/fmdXloWZtCoDQpTk1NoVAoYHV1tcx7yD7vICNJUl2jk20WIpEIEolE2d+HeaVkWcbQ0BA8Hg+vmn348GHX84wrjU6r1Yrx8XFEo9G2FtNsNotEIoEbN25gZ2eHd6zqBG63m88FZ2dn/O8ZiURgMpmQz+cRi8V60ie7k5+rWwyKIdwqVqu1qn5iPp9HNptFNpvF6ekpb7lqMplgsVh4i+eTkxPeRllRFMiyjJmZGTx69AiffyYIr9eLycnJsvfe2NjA7u4uLBYLVFXl4WGgvFPbzs4Ojo6OoCgKD8Wye7Py35WVlZ6F2c1mM1+/DAZDx/Un24V5PqPRKNbW1jA/P9/U5kiSJAwNDcHtdvPCrmodvxo5A6p9Hx6PB0ajEaurq5AkqaMtMiupZzG8r9YTlNK2VgVK6QGA76zy+NcBfODi//8XwBPtnKcW1RYWvZqdjZBlGX6/n+di6ElsttlsPFkYAF9QbDZbVeMjlUrx1pwAeK4aM1YNBgN3uVd6OLe2tnjovVaIvhmDp5s7ylAohEQiwQeR3hBCr8nn8/w7kyQJw8PDVcO3RqOxzOicnp7GyckJVlZWeJeN0dFR+P3+gfycldQz9plhabfbuWH58OFD/vlZQZvX6y2beJmOaa+UFcxmM8LhMI90RCIR/MM//MOl1zUTAt7e3obL5UIwGLwY/52Ri9KOtb29PRSLRd67GXg9ZYMpa3QbrdeYzSX9um+ZhiVQ+k7Pzs6QTqcH3uO5+vz3oFAo4O///u/5Y2xzyrxbzLjUGpl6kCQJ+XweS0tL8Pl8sFgssNvt/HtjLTbZ/ZNKpcrSt7T1CVNTU3C73Tg7O0M8HudOElZFbzKZuAZzJYFAQHfXuFQq1VYFtVZiamhoaCDn0WAwiHg8jtPT05Z1ZlmBl8fjwc7Oju4mJrUwGo0YGxvjusysOLpb1LS0KKU1s+0JIXZKaf96YbUJy8NiMMOvUzBB7OPjY12eGyYWX5lLcXx8jJdffhnDw8M8mXhvb69Mc8tut8PhcCAajfJF22az1b0ZDw4OyqrhKndMzXgPuykKLMsyIpEIFhYW+GOd8GJoc8C0HuF6MMWCamivyWw2VxXvlWWZn8Nut2NychJbW1vcO2WxWBCJRAZuh16Pehs15h1mlf/JZBKpVAqyLMPhcCCZTGJ9fR2Hh4dwu91wOBxczYDlj3XSc8cMtHw+j3Q6jfPzcx760i5Oqqryavd2YH2qO/V9qqrKF+RCocDDZNXGXzAYbLntbTNox0xlfl+30SqGhEIhXti0uLiI09NTeL1euFyuKyGnJMsyn5MMBgPfnNW6/yVJgslk4saeyWSCwWDg+f+ZTKas4FSb4lJZhPnw4UPMzc2hUCjwvD7gstrC2tpaVQm6eDxepqpgNBp59zv243a7sbW1peveWF1d5W06W0EblRqkMLsWWZYxMTGBR48eIRqNYmhoqOU8SkmSEAwGYTQaG+pY12Nqago7OzvIZrNlNRDdolUX3wMA4YavGlAqvYCddimrqgqv14u9vT3s7OzgpQ+/uWxQ10LrHmehi0KhgN3dXezu7l7KS/P7/bBYLDxXbmJiAqlUCmtraw1d7cy4zGazLRd2yLLc9YpBq9WKkZERbG9vty29EggEEAwGoSgK/5vp1bTTm35Qa6PBrttsNvOdJXttMBhEKBQaeO9MJfU2VYVCgTdSKBQK3BAaGRmB3+9HPB7H+vp62aKoqirfSLnd7ksLb6uFJ0NDQ5fypOsRCATaNjwzmQyi0WjDlrt60YbZDw8PcX5+zj1YlQwNDV0yPFlXom6ht01fp2D3nqqqKBaLSKVScDgcmJmZweLiIg4ODiDLctnfbZBhc7D2OzIajdyw1P5rNBobfiYmUba0tMTbXRYKBeRyubI15Pz8vCycXgu2XjDPtizLcLlcMBgMyOVyOD09xenpKX//yvmSXW+jMXx6esoLc1tBm99ZqwPQIOBwOHjkcW1tDXNzc23dpx6Phxc0Ngubo5hSweTkZNfXono6nj9b4ykJwOB+ozrQGmWsQKLTBAIB7O3tIR6Pt9QbvJqkknbCGB8fh8lk4rmqVquV9z4GwCvh9BRQtFpN3InuTHpgmmLpdLosR7JZWA7vyclJRxdJJsBfKBTqGsZMToilSRiNRkQikYGeIOtRKyWDLU4jIyOQJKlsJ83SCLxeL5xOJ5LJJDc+z87OeEUt0BmNR4PB0HQzCOapaaVSXJu+EovFOqYhyLw3TC4FQM2UDIPBUKYbCHRfyqYXRmdlapAkSTg/P+d5razTSigU4jJnVqu15YYUvSQUCvEOWLlcDpFIpK0onCRJPG95aWkJ+Xwed+7c4d2FYrFY1U239m/s8/m4+Pzdu3dxcnKC5eVlSJKEGzduXPIms/dmP8zzWkvur9a519fXuexas59ZG70b9A3H2NgYkskkTk5OcHBw0PZ9WitNqB4mkwnDw8O8xXcgEOi4WHw16nk8Pw7gV1ASb6/karlmKtBOkp0oKKqGyWTieUeNvGWyLPN8HKAUFsxkMjg7O6s6YD0eD3K5XJlXg30ms9mM8/NznJ+fI5/Pc5FYo9HYdh5IJb3qgSxJEiKRCB48eIBUKgW/39+SBM76+jqy2WzZgtxqWJV5UwwGQ1kyPTMMqhlMRqORe/G8Xi+XzbiqaCvUtbBe0g6HA2dnZ7yzydjYWNliYDAY4PP54PP5UCwWkc1muRF6fHzcEXmlycnJlnK3PR4Ptre3m25koJXDKhaLbYW/GCw9ASil5aTTaaiqWtcw8Xg8A1dx3C52u53fcx6PB+FwGKlUim9Wzs7O+FiWJAmqql6Z1BWPx4NMJoPNzc2W2h7XwuVy8bSEg4MDDA8Pw2azYXx8/JLhaTabkcvleBOVkZER/py2febo6GjVFAZJknhxkxY2th8+fFg3jYuNnXw+j83NzUvtPhuhKErPJNk6gaqqGB8fx8rKCjY3N9vepKqqikAgwD2XepidncXOzg5OT09hMpnKvvNuUm9G/jsAX6CUfqPyCULIB7p3Sd3H6XRyr1k3c4ACgQASiQSXM6rmdWDhdC0ej4fv+DKZDPecskFbr1MJ89KwyYsllWt1CzvVFagXOyMGC1FvbGwgHo+3lAOolY9gSejaHXIzodxCodCwY4zWP6D13gAAIABJREFUYydJEjKZDFRVxcTExMDmHzXD0NBQzepmltu5tbXFNVDrTaySJHFP4/DwMPeeLC0tVa3a1EujTi+1YJ+tlbHCjmFhyHZxuVzc+8MWFZ/PV9cjxELMV72ym2EymbjRabFYeHqU0+mE0+nE+Pg4MpkM3+in0+meVVJ3CqZqMTQ01LFQJ8sBXFlZQSwWg8/ngyRJMBqNcDgcZbmfrEmGx+O55FRYXV1FPp+H0+msKfdT7xrYuGZddWp5yNmcube3h0Ag0FQq11VLVQJK3zULkestwKpHMBjUbXgODQ2hUChwx0CtVqzdoJ7h+WMAaq2sb+zCtfQMtitSFKWr7njWASCVSpV5XZgHLxqNVs2TW1lZ4ZJJJpMJhUKB71r1Fv7k8/myDgmKosBkMvFcItausdWFqR+eOtZX9vj4GKenp2UTp17YxMYMgmaOZx46VpilzW2q/F5Y7hmDVSBPTEw8Nm38auV4su4pqVSKqyeMj4839d7MezI6Olq1qKER7Xq6zGYzH3OVYetGdNrYY5sUJokGNNbOZRvPTrUD7TdaT9b4+PileZuFlllOOMszvArFRUDpnmEb2VZSs+oxNDSEaDSK09PTspCu1+vF8fExLzjK5XKw2WxVO9UcHx9DVdW26iF8Ph9isRgymUzNdtJaJ8zi4iJu3bql+3zs2Kvi5QZK9204HMb9+/c70vpWVVXdEcGxsTFeezI8PNyz1DmgflX7q3We0+/LHUCY0dTt3rGSJMHv91/SMQsEAnC73TCbzXj06FHV8EA1KST2npULmyRJcLlccDgcvHq68odV8zIqZVCapR8eO6Ytdv/+fSQSCYyPj+Pk5ET39U9OTvIdZjNVv0zmyGw2cxH5ajt2SZJgs9ng9Xqxvb3Nv1dmeDFvw+NCLW8e85Yw9YVmPRdaWg0/RSKRlo7TMjQ0xL3UrRTnnJ2dXYTDW6/OZ2MbeL3L1tDQUJlsTC08Hg83PGVZRigU0p1uo/X+u91uuFwuSJKEeDze0AhvtQgsGAwin89fEraWZblsY6cn0mI0GrvS2KJbsBxnk8nU8UgS83qurq4iFovB6/XytsTajbjRaMTMzEyZ10ubTz85OdnWppk1QDg+Pub9yuvN3aenp9jf39f9PbL5thud9LoJC3GzsVkoFNryPFaq9lSD6YCm02kYDIaOFUHqpV5xkQvARwA8jde7FO2i1GXoeUqpvnLgAaYXFj4TlNcu0ru7u9jZ2ak76CRJqpqzoj1GVVUMDw9jeHi47oRQLBa5oHwqleLSNpXvp4UtHrUM035N6kajEeFwGKurq1yTVJujWW3RczgcsFqt2N/fLyvA0oPBYOCdpGrBBJutViuOjo4QjUa5kWK1WhGJRLq+yekHbAPFOnEApc/rdDpxcHDAJ7V2pDlY9WwzTQ3Gx8c74vVg4fZkMonZ2VmegN8M7aQJAKV7l3nY2X2uV8LM6XTyYwuFQsui79qCr25gsVgwNTWFWCzGIzSjo6Nc67BQKHDZt8ehG1E12OeulPfqFB6Ph4uNHx4ewuPxcK94PB6HoiiYnZ0ti8zl83meozw8PNyRQjmfz8dzuG/fvs2VX2qxsbEBl8ula6OlPcdVIxAIcI/n9vZ2W7UnRqPx4ruqveF1u91laji9jmDWC7V/DsCfA3grpTQGAISQIEotLv8QwNu7f3ndIRgMwu12d6XjTiXM66k1XCpzOpm3khmPbBd6fn4Ol8uFfD5fJhNhMpkQDAbh8Xh0TcIslMKqXUOhEGKxGLa2tnjnmMPDw6oFMbWMtH6GM5gnJ5lMIpPJNPTaVrZqrIbVauXFQvF4nL/+7OyMG5GV52FtPXO5XJnYMsPv918qqHncqPRGsTZ7bPc+Ojra9qTmdrt1G55Op7NjmyJtuP38/Lyl1I5WFRgYLLLAcrxZ+o4e2NhmBmuxWITdbsfIyAgWFxfbVgzoBKxN8dLSEs9PN5lM2N3d5ePObDbD5XJhZ2enp3nlvYR1Fup0mJ3BvJ5ra2tcO1KSJIRCIeTzeQSDwUub442NDb5x6lQRrtvt5u2NWdvIYDCIV155pWoaGSvQm5ub0/X+qqr2ZF3vNJIkYWJiAkApj9vj8bSVJlIqEqoZtOYNKJjeba+pZ7VMUko/wYxOAKCUxiiln8AV1vAESoPcZrN1XYOSoQ2xqqqKmzdv8nP7/X7MzMwgEAjwEMGdO3f4ro3JLQCvJ9Xfvn27YXFBI5i3qlAoIJ1O4/bt27p3lZIk9dXrwAapqqpIpVJ8gOox8FRVLXudzWbDnTt3MD8/D5/PV2Z0MiFk9vpK4zaTyXAxcu21mUwmTE5OVs1Fe9zQFngxb2c0GsX5+XnHGjPonRhrtZhtByYnc3h42HSVbSdgnWGYV6jZwg7291cUBZFIBHNzc3A4HNwL3cwiraoqrFZrR8f+wcEBVldXy6SrtN15rFYrZmdneT7gVZUea0Q4HMaTTz7Z1TWJtUQ8PT0t6/I0MzNz6e8aj8d5fjbQucIdWZb5Pcm8vKqq4saNGzWPOTk54R11GnGVNybaa282MldJI6OV1Z10S9WnEfVmnTVCyM8D+CzL6SSEBAD8KIDut8V4jFAUhbdRPD8/RzweRzabhclkqppbcXBwUDW0xaSAMpkMjEYj92Kyn2Z7vk5OTmJhYQGZTAZbW1uYmZnBw4cPG3pCBiF5m+kzLi8vN0wbAErXPDw8jM3NzbLXjY6OIpPJYHd3F/v7+2WfvVHXKVYdyoppnE7nY1M4pBdtQnwoFEI2m+X5RZ0yvA0Ggy791nA43PG/Pwu3JxIJhMPhtnRkm8VqtcJoNCKRSCCbzcJoNHJDWC92u53np2qlv1gBwvn5OcLhMGKxWMMKfCbTxmCdoCrRmzeuqiry+TwXJPf5fLDZbGVzmyzLXCAeuNqGRSO6vZmXZRmBQAAbGxuIRqM1xfWz2SzPz+6GYeLz+bC3t4eDgwOMjo5ClmWerlQr7K53zHXLY9xLDAYD0uk09vb2mt5oMtLpNL70Q+OX8tK1jWnC4XDfvMONerV/GMBfEkLYp98B8CUAP9DtC3vc0Cb8sn8jkQifbLRt8FiY0mazYWRkBIqiIBqNIplM1q18UxTlkjFqMBj4RM5aq2lfPz09jYcPHyIej8Nut2NmZgaPHtXslgpgcLwOrAc4y1GqVfHPZKm0rUYZjT6rFmZkOhwO3njgcfdo1uP09JQbIiaTCS6XC4uLizyE00kjwe12I5VKVW3xCqBrYUptuP34+BgjIyN47bXXOn6earAwu9bb2ez9JkkS7+e8ubmJUCjEcz+DwSA2Nzexv7+P27dvY3FxsalUgmrfg6qqKBQKdQ1P1jhheXkZxWIRZrMZs7OzNSMu2WwW+Xyez2eC1tFWlieTyUtFosVikUsnuVyuruTyW61WPqYSiQT3gI6NjSEej7clg9WPsHGnCYfDWFpawtbWFtxud1P5refn59ja2rqkTc3S91RVxdnZGdxud9Ob2E5Sr6r9EMAvXPwI2sRoNJa1pgwGg7DZbCgUCtjf3+fhSeD1NpFOp5MvNDMzM0ilUlxYnv3kcjn+/3w+j3w+X7fjitlshtPphMPhgMPhgMViwcTEBFZWVrCxsYEbN25c8upUtuocFMMTKHnVWEVoLVrJZZNlmYeOWV7dVRZ77wZaw2N0dBRHR0c4OjqCLMsdr5J0uVzY2tqq+T13cxJl1e2Hh4eYnJyE3W4vy7muRzv3DDO2T05OoChKy0UTzMOUTqextLQERVEwNDSEoaEhnm/HCqhYBKRV9Ah4h0IhLC4uIp/Pw263Y3p6uq7nRevtvM4bvU7AvJ6bm5uIRqNcrYARi8VwcnICg8HQ8bQVLT6fDxsbG9jZ2SnrUjQ5Odnyxs5oND4WhWdut5s3n1lfX8f09LSuFqn7+/vY2triDhi/38+79LE18OzsDIqi9CVtSEtdPysh5CaAUQB/TSlNaR5/B6X0T1o9KSHkGQAfAzAP4E2U0q/XeN07APwGAAXAZyilz7d6zkHAbrcjkUjAYDBwD2gsFivLZwKAmzdvVr3R6hUWsMp1rVFaaaBqW5gxryvz4LHK4aWlJYRCoTLDszIEN0jaeExbrtFkpRX1npycrGk4BAIBhEIhYWTqQFVV3prV6XRiYWEBQCmxvdOeKdarOpvNVjX8uqlQoQ23FwoFTExM4P79+7qO1au7Wwnr082qipl+bCuYzWbcvn0b8Xgc8XgcmUwG+/v72N/f5++5ubkJt9uNGzdu4Jvf/GbXCo+8Xi/W19dRLBbhdrvLoj61uA5h9l7ChNzT6TSXNgJKuZRM+aDVjl968Xq92NnZQTqdxtraWllDgFaK+IDetXDuBePj4zg6OkIymUQikai7sU6lUlhfX+cSfw6Hgyt7MCWXyvfud+Sg5ognhHwIJemknwZwnxDyHs3TH2/zvK8A+D4AX6tzfgXAbwF4J4BbAJ4lhNxq87x9hU2cBoMBDx48wMbGBs7OzmCxWDA9PY2bN28CaK3HLKtct1qtcLlc8Pl8CIVCCIfDmJ6exvz8PJ566inMzc0hFArxa0mlUojFYrxq+OzsrGFHoGZc/72gUSXz0NAQD/1NTk7i4OCAd2tgOBwO3L59G2NjY8Lo1InNZsPdu3cxOzuLvb09nrfcjfCcVs+yWo5xN40SFm7P5/M4Pj6G2Wzuuo7t0NAQcrkc1+FsNdeLYTQaEQwGcevWLczPzyMQCMBgMHDDOJfL4ZVXXsH+/j4mJyfbvfyaC9vBwQGKxSJ8Ph+mpqZ0eajYJkMYnp2BeT0BIBqNolgslkknBQKBljt+6UVRFK4ZGo/Hy9acZptNMB6HMDvDaDTyqNHGxkbVDezZ2RlWV1fx8OFDLl0XiUQwOzvL58jKecrpdA6Ezmm9Uf+TAN5AKX0awFsB/CIh5GcunmvL/04pXagnUH/BmwAsUkqXKaU5AH8A4D0NjhlomFwFa+dmNpsxNTWF+fn5monenYT1fB4ZGcHNmzfx1FNPYWZmBn6/v2wx13o4K6/JZDINZLhrdHT0UkWow+HA9PQ0Dx16vV6sra2V5ckaDAZMTU1hdnb2sdTa7DayLPMcZKC0aHQr3MUm0aOjI0xMTHAvgKqqXVeoYOdi9063Q1Vut5tHJVg1cqewWq0YGxvDE088gbm5OW7Q5XI5bG5uYnl5ucxw9Hq9mJmZaWphr5f64nK5dBeeFQoFPn4HKdJy1RkeHoaiKDg5OcHJyQnW19eRy+V4mlcvsFgsvNHD9vY232RZLJZLxpGee2WQUsA6wfDwMGw2G87OzsoaPxSLRezu7uL+/ftceSAYDOL27duXdGBVVeV/F1mWq3al6gf1VgiFUnoCAJTSVZSMz3cSQj6JNg1PnYyivHp+8+KxSxBC7n3tazWdpwODzWaDwWCA2WxGJBLBrVu3uJ5aP1AUhS8Ct27dwpNPPnmpR29lkcCgTv6Kolzy1JhMJqRSKZyenkJRFBwcHFxKG7hz505fv4NBotVxpLcfe7vY7XYoisLD7excvcj9Y4ZnMplEoVCAwWDomudAlmWYTKamBeObRZIkOBwOzM3NcUOTbUC1hiOTPKrUUrXZbLzqeWpqCsFgUJfiRTKZxPLysq4iEhZmt1gsVyoSMehrkqIo/L5aWVlBPB6HLMu6Uh86idvt5vfQysoKDxePjIyUjWk9Kgn9Dh93Gq22597eHt8kLCwscC+o0+nErVu36uolswhUOBwemGhlvSSOGCHkKUrpSwBAKT0hhLwbwO8CeKLRGxNCvgqgWsuSj1JKv6jj2qqtJFXvPkrppwFQHe/ZVwwGA+7evdvvy6iJqqoYGRmBLMtlOyxt55hB3lXa7fYySQ4W1gPKc+0cDgfC4TBefPHFxyIZvVO0Mo60/di7rQnHwu3xeByJRIJvInpxT2qr24+OjuB2uxEOhzvSX7kS1vmpUCjwrlvdRJZljIyMYG1tDYVCAXfv3sXh4SH29/e5t7Fa0VAqleKGIcsjY+OMaf2yCncm31YsFrGxsYFkMokHDx5gYmKibtrCVc3vvAprEsv1ZBuA8fHxvkR9/H4/MpkMDg4OsLi4yHWuWVHcdcZisSAYDCIWi/GCPKAUih8bG9MVKfV4PAPnXKlneL4fQNlsQyk9B/B+QkjDAUUpfVub17YJQJvsMQagtZ5vgqYIBAJIpVJlIsPM8BxUjydjZGSES3JU7pJVVcXExMSlSk5BaxSLxbJ+7L1YtFiLv2QyySfhXhkl2up21oGFdf3qJB6PBxsbpWBPt7ydlXi9XsRiMWSzWSSTSfj9fvj9fty/f79MJYNt1IrFYtn4qsxBY3mDwOuybaz4w+FwYHV1FcfHx1haWoLP56uZW80Mz0He8F5VVFVFIBDgmp790sCUJAnhcBjZbBYnJydYWlrCjRs3EAqFsL+/35aQ+uNAKBTC4eEhstksD6sHg8GmdbsHiXpySpeaUxNC7lFKP00p/avuXhYA4G8BzBJCIgC2APwggB/qwXmvPcw78corr+D8/JznmgGDIR5fD1mWuTapFr/fz8WKBZ0hlUp1pB97MzCJMW1Vey8NT211uyzLGB8f77jhydQpmPRZL2DtE1dXVxGNRnk73vHxca4YEQ6HywrHmEHw4osvcsk1m83Gw4PMODWbzWVGpdFoxOzsLHZ3d7nm4NHRESKRSJmBeV2E4/sJKzR1OBx9NU7YvL2wsIB0Oo3V1VVEIhEEAgHEYrFrPW+zv008HofP5+tZx8Vu0uy3+cFOnJQQ8l5CyCaAbwXwx4SQP714fIQQ8mWAe1d/CsCfAlgA8DlKqT4NE0HbKIpStoCwx65CnpXNZuP5f0ajEbdv3+5q0ct1xW63Y35+HhMTEz27LxRFKZNN6XQLx3qwcHuhUOARAIPB0HHjkIUXA4FAT40Bj8cDs9mMXC7H2xkyaZbp6elLagWSJPEQPDM6WUWtxWKB1WqtqX8rSRICgQDm5+dhsViQy+Xw6quv8nxhAFwKTlGUx2KxHURY+sogzI2qqvJK98PDQ0SjUQQCASiK0jV5r6uCxWKpWkB7VWlWqKsjsyCl9AUAL1R5fBvAuzS/fxnAlztxTkHzuN1u3m4PGHxvp5aZmRnk8/krYShfZfqReuF2u3F0dASg954wr9fLxbdZftXY2BgePHjQsXNkMhmoqtpz2RNJkjAyMoLl5WVEo1F4vV7IslxTyun8/Jx3/rJYLJiZmWl6vFksFty8eRPRaBSxWIxLu0UiER7iF8Lx1weLxYKpqSksLi4iGo3CbDYjEAhwfVHB40Gzhuf3duUqBAMLy/0Crl6elTA6H0+0lfO9vieHh4exs7PD2/0NDQ1xD187HX8q8fv9ffFCud1u/ln29vZq5pjm83m89tpr3DicnZ1tWXCcdbpyuVxYWVlBJpPBwsICzxkWYfbrhcvlwtjYGDY3N7G6usrvrc8/E6zaGjkYDHa8U5qgu+ie2Qgh3wbgBwgh39XF6xEMGNqK00EvLBJcD4xGIxwOB9el7SWyLHPJsa2tLZ6G0omFjxmasix3RYRfD8zrCZTaJ1YLcTKjM51O89BfJ6Rs7HY7bt26BZ/Ph2KxyA15YXheP/x+P78PlpeX+Xio5ky4ag4RQf3ORf9P8/+fBPApAA4Av0QI+XAPrk0wAFitVq79JQxPwaAwMzODJ554oi/afSzBP5vN8lxIp9PZ9rWwRdXr9Xa1XWEjXC4XrFbrpcJCoCTovrS0hFQqBYPBgNnZ2Y6em+WWs/7tsiwLw/Mawird7XY7zs/PcXh4yAvYKtUzxP1x9ajn8dTOovcAvJ1S+ssAvgvAc129KsHAIEkSZmZmMDs7+9gkNguuPrIs980403oFt7e3USgUeFV4O7Bc6l5JKNWi0uvJQpvM6Dw+Poaqqpibm+vanOB2u3Hnzh088cQTfTXCBf1DkiRMT0/DZDLh9PSU3wfaULuiKOL+uILUMzxlQsgQIcQLQKKU7gEApTSFCn1PweONxWLpmayLQHAVYLmdZ2dnvArd6/V2pAhmEDZ4TqcTNpsN+Xweu7u7KBaLWFlZwdHRERRFwdzcXNd1W4VRIWCV7oqiIJ1OQ1VVrnQAYGA68Qiao57h6QLwDQBfB+AhhAQBgBBiR29aZgoEAsFAUs0rWK8C/Kqh/Xw7OztYWVlBIpHgRudVUrgQXG3MZjOmpqYAvN5Bi3k9RfrX1aSegPxkjacKAN7blasRCASCK4LL5YLNZkMqlcLu7i5CoVBZy9ZmGbRcNafTCbvdjpOTExweHkKWZczMzIjFXtBznE4nxsfHeUcv7eOCq0fTcQxKaZoQcr0bqAoEgmuPJEkYHR3Fo0ePsLOzg+HhYRgMBrjdbt5uFgA+/4y+rk79zu2sxujoKF599VWe6y0qiAX9wu/34/T0tKx/u7gfryatCsV1Ti1ZIBAIrigOhwMOhwP5fJ7r3bZSZGQ0GsukywYFu92OmZkZ3Lx5s+fSVQJBJePj4/w+lCSpL6oWgvap6fEkhPxsjackAGKbIRAIBCh5BR8+fIjd3V0EAgFYrVZYrVak02nd79Hr9pjNoBXsFwj6iSRJmJqawsrKCqxW68COGUF96nk8Pw5gCCXtTu2PvcFxAoFAcG2w2Wxwu90oFouIRqMAmvN6SpIEn8/XrcsTCB4rVFXF7Oys6FZ0hamX4/l3AL5AKf1G5ROEkA9075IEAoHgajEyMoJEIsHbTLpcLqiqyqtw68G6MAkEAsF1oJ7h+WMA4jWee2M7JyWEPAPgYwDmAbyJUvr1Gq9bBXAMIA/gnFLa1nkFAoGgG1gsFng8HsTjcWxvbyMSiSAUCl2qwq1Gu8LzAoFAcJWoJ6f0ap3nWtMLeZ1XAHwfAKrjtd9BKd1v83wCgUDQVUZGRnB4eIh4PI5gMAiv19vQ8JQkaeBklAQCgaCb1CsucgH4CICnAQxfPLwL4IsAnqeUJmod2whK6cLFOVp9C4FAIBgoTCYTfD4f9vb2sL29jenpafj9/kv9zrXY7XZRICEQCK4V9RKLPgfgEMBbKaVeSqkXwHdcPPaHvbg4AEUAXyGEfIMQcq9H5xQIBIKWCIVCkCQJiUQCqVSqYScjUTEuEAiuG/VyPCcppZ/QPkApjQH4BCHkxxu9MSHkqwCqKSd/lFL6RZ3X92ZK6TYhxA/gzwghDymlX6tyrnvPPfcc3vKWt+h8W4FAUIkYR+1jMBjg9/uxs7ODra0tzM3NweVyIZlMVn29EMB+PBFjSSCoTT3Dc40Q8vMAPstyOgkhAQA/CqBhxjyl9G3tXhyldPvi311CyAsA3gTgkuFJKf009OWLCgSCGohx1BmCwSD29/dxfHyM4+NjBIPBqoanLMui/eRjihhLAkFt6oXa3wfAC+AvCSFxQkgcwF8A8AD4gW5fGCHERghxsP8D+C6UipIEAoFgYFFVlbe/3Nrags1mg9FovPQ6m80m8jsFAsG1o15V+yGAX7j46SiEkPcC+E2Uipb+mBDyEqX0uwkhIwA+Qyl9F4AAgBcuCpBUAP+NUvonnb4WgUAg6DSsqCiVSiGZTGJ0dBQrKytlrxFhdoFAcB2pF2oHIeQmgFEAf00pTWkef0c7RiCl9AUAL1R5fBvAuy7+vwzgyVbPIRAIBP1CURQEg0Fsbm5ie3sbN2/evPQaYXgKBILrSM1QOyHkQyhJJ/00gPuEkPdonv54ty9MIBAIrjLDw8MwGAzIZDJIJBIIh8Nlzwv9ToFAcB2pl+P5kwDeQCl9GsBbAfwiIeRnLp4TiUkCgUBQB1mWMTIyAgDY3t6Gz+fD5OQkAMBqtUJRlD5enUAgEPSHeoanQik9AQBK6SpKxuc7CSGfhDA8BQKBoCFerxcmkwnZbBb7+/vIZrMARJhdIBBcX+oZnjFCyFPslwsj9N0AfACe6PaFCQQCwVVHkiSMjo4CAKLRKI6OjgAADoejn5clEAgEfaOe4fl+ADHtA5TSc0rp+wEIVVyBQCDQgdvthsViwdnZGVKpUo2myO8UCATXlXpySpt1nvur7lyOQCAQPF4wr+fi4iIAwGw2w2Aw9PmqBAKBoD/U83gKBAKBoAM4nU6e1ynyOwUCwXVGGJ4CgUDQZSRJQjgchtvtht/v7/flCAQCQd+oKyAvEAgEgs5gsVgwPT3d78sQCASCviI8ngKBQCAQCASCniAMT4FAIBAIBAJBTxCGp0AgEAgEAoGgJwjDUyAQCAQCgUDQE/pSXEQI+RUA3wsgB2AJwI9RShNVXvcOAL8BQAHwGUrp8z29UIFAIBAIBAJBx+iXx/PPANyhlN4F8AjARypfQAhRAPwWgHcCuAXgWULIrZ5epUAgEAgEAoGgY/TF40kp/Yrm178G8P1VXvYmAIuU0mUAIIT8AYD3AHjQ/SsUCAQCgUAgEHScYrHY15979+79j3v37v3TKo9//7179z6j+f2H792796ka73Hv3r1791o4d9PHiGOvx7FX+brbOa8YR93/fq7idV+3Y9v9aWUsiXtSHDuIx3bi+Mqfrnk8CSFfBRCs8tRHKaVfvHjNRwGcA/ivVV4nVXmsWO1clNJPt3qdAoGghBhHAkFnEGNJIKiNVCxWteW6DiHkRwB8EMB3UkrTVZ7/VgAfo5R+98XvHwEASum/6+mFCgQCgUAgEAg6Qr+q2t8B4BcAfHs1o/OCvwUwSwiJANgC8IMAfqhHlygQCAQCgUAg6DD9qmr/FAAHgD8jhLxECPkdACCEjBBCvgwAlNJzAD8F4E8BLAD4HKX0fp+uVyAQCAQCgUDQJn0LtQsEAoFAIBAIrhd9CbX3E0JIHsDLAAwoFTZ9FsCvU0oLTb7PCaXU3uK5GU9TSld1HFcE8F8opT988bsKIArgbyil79Z57vcC+CMA85TShzqPafu8F8c1/bdq99hWPq/m2I+ilNaRB1AAQCilf6PjuDGUtGdvoRRNeBHAz1FKczqOLQL4JKX0n1/8/i8A2CmlH2vm2nuFGEdgT3eiAAAEQUlEQVS9H0cXx16ZsdTqOLo4tqWxJMZRy+dnNBxL/RpHnTr3xXFXZhxdHPtYrUnXsWVmhlL6FKX0NoC3A3gXgF/q8bnZz6rO41IA7hBCLBe/vx2lvNdmeBbA/0EpV1YvnThvv2jl87KitncD+JaLBgdvA7Ch4zgJpUnlC5TSWQBzAOwA/q3OU2cBfB8hxNfM9fYRMY70c5XHEdDCZ251HF0c285YEuOotfM3M5b6NY46de5+IdakC66j4cmhlO4CuAfgpy6+pEHmfwL4nov/Pwvg9/UeSAixA3gzgJ9A8wO95fP2izY/bwjAPqU0CwCU0n1K6baO4/4xgFNK6X+8OC4P4J8B+HFCiFXH8ecAPn1xzJVCjKPunreftPGZWx1HQHtjSYyj3tCvcdTWufuFWJPKudaGJwBcdEaSAfh7cDrLRTHVS4SQF5o89g8A/CAhxAzgLgBdIasLngbwJ5TSRwDihJBv6dF5+0U7n/crAMYJIY8IIb9NCPl2ncfdBvAN7QOU0iMA6wBmdL7HbwF4jhDi0n21A4IYR109bz9p9TO3Oo6A9seSGEf6aXUs9WsctXvufiHWJA3X3vC8oFe7S21Y473NHEgp/SaASZR2eF9u8rzPojRYcfHvsz06b79o5/OeAHgDSp6HPQD/nRDyozoOlVC9wUGtx6ud+wjA7wH4kK6LHTzEOOrOeftJS5+5jXEEtDmWxDhqipbGUr/GUQfO3S/EmqTh2huehJAplBJ2d/t9LTr4EoBfRXNhDS9KLvfPEEJWAfwcgPc1Gcpp+rz9ohOfl1Kap5T+BaX0l1CS9PonOg67D+CNFdfiBDAOYEnvuQH8OkrhGFsTx/QdMY66c95+0u5nbnEcAZ0ZS2IcdZ9+jaOWzt0vxJp0mWtteBJChgH8DoBPUUqvgq7U7wL415TSlxu+8nW+H8DvUUonKKWTlNJxACsAvq3L5+0XbX1eQsgNQsis5qGnAKzpOPR/AbASQt5/8T4KgF8D8J9o7SYJl6CUxgF8DqWBfiUQ46ir5+0nLX/mNsYR0IGxJMZRT+jXOGr13P1CrEkVXDs5JVzktOB1+Yr/DOCTzbzBhYRDtgvXVhdK6SaA32jysGcBPF/x2OdRkmb43108L4D2/lYtHtvu57UD+E1CiBul+2MRpRBHXSilxQu5jN8mhPwiSpu6LwP4l01cO+PXUNrVDjJiHPVwHAFXbiy1NI6Ajo4lMY66SL/GURvnBnDlxhHwGK5JQkC+BQghTwL4D5TSN/X7Wgaddv5W4u/8eCO+3+YQY0lQDfHdNocYR/3nWofaW4EQ8kGU8kr+Vb+vZdBp528l/s6PN+L7bQ4xlgTVEN9tc4hxNBgIj6dAIBAIBAKBoCcIj6dAIBAIBAKBoCcIw1MgEAgEAoFA0BOE4SkQCAQCgUAg6AnC8BQIBAKBQCAQ9ARheAoEAoFAIBAIesL/B4oKNv2fvwPbAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x216 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "pr_anom=((prf_mon['2015':'2017']-pr_monclimts)/pr_monclimstdev)\n",
    "\n",
    "#pr_anom=((prf_mon['2015':'2017']-prf_mon['1981':'2014'].mean())/prf_mon['2015':'2017'])\n",
    "\n",
    "fig=plt.figure(figsize=(10,3))\n",
    "pr_anom2=pr_anom.groupby(pr_anom.index.month).mean()\n",
    "xvar=range(12)\n",
    "\n",
    "for i in range(n_clusters):\n",
    "    pl = fig.add_subplot(1,3,i+1)\n",
    "    print i,\n",
    "    r=regseq[i]\n",
    "    clustind=clu==r\n",
    "    yvar=pr_anom2.iloc[:,clustind]\n",
    "    sel=[11,0,1,2,3,4,5,6,7,8,9,10]\n",
    "    pl.plot(xvar,yvar.values[sel], color=\"0.8\")\n",
    "    pl.bar(xvar, yvar.mean(1).values[sel], 0.5, zorder=10)\n",
    "    pl.axhline(0, color=\"0.5\")\n",
    "    pl.set_xticks(xvar)\n",
    "    pl.set_xticklabels([\"D\",\"J\",\"F\",\"M\", \"A\", \"M\", \"J\", \"J\", \"A\", \"S\", \"O\", \"N\", \"D\"])\n",
    "    pl.set_ylim(-2,2)\n",
    "    pl.set_title(regnames[r])\n",
    "    if i==0:\n",
    "        pl.set_ylabel(\"2015-2017 anomaly [z-score]\")\n",
    "    else:\n",
    "        pl.set_yticklabels([])\n",
    "    pl.axvline(-0.5, color=\"0.5\", linewidth=1)\n",
    "    pl.axvline(2.5, color=\"0.5\", linewidth=1)\n",
    "    pl.axvline(5.5,color=\"0.5\", linewidth=1)\n",
    "    pl.axvline(8.5,color=\"0.5\", linewidth=1)\n",
    "    pl.axvline(11.5,color=\"0.5\", linewidth=1)\n",
    "fig.subplots_adjust(left=0.1, right=0.95, top=0.90, bottom=0.1, hspace=0.05, wspace=0.1)\n",
    "\n",
    "#fig.savefig(\"../figures_trend/fig9.png\")\n",
    "fig.savefig(\"../figures_trend/final/fig10_final_nocaption.pdf\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 1 2"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x216 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "#pr_anom=((prf_mon['2015':'2017']-pr_monclimts)/pr_monclimstdev)\n",
    "\n",
    "pr_anom=prf_mon.groupby(prf_mon.index.month).apply(lambda x: (x-x['1981':'2014'].mean())/x['1981':'2014'].mean()*100)\n",
    "\n",
    "fig=plt.figure(figsize=(10,3))\n",
    "pr_anom2=pr_anom.groupby(pr_anom.index.month).mean()\n",
    "xvar=range(12)\n",
    "\n",
    "for i in range(n_clusters):\n",
    "    pl = fig.add_subplot(1,3,i+1)\n",
    "    print i,\n",
    "    r=regseq[i]\n",
    "    clustind=clu==r\n",
    "    yvar=pr_anom2.iloc[:,clustind]\n",
    "    sel=[11,0,1,2,3,4,5,6,7,8,9,10]\n",
    "    pl.plot(xvar,yvar.values[sel], color=\"0.8\")\n",
    "    pl.bar(xvar, yvar.mean(1).values[sel], 0.5, zorder=10)\n",
    "    pl.axhline(0, color=\"0.5\")\n",
    "    pl.set_xticks(xvar)\n",
    "    pl.set_xticklabels([\"D\",\"J\",\"F\",\"M\", \"A\", \"M\", \"J\", \"J\", \"A\", \"S\", \"O\", \"N\", \"D\"])\n",
    "    pl.set_ylim(-15,15)\n",
    "    pl.set_title(regnames[r])\n",
    "    if i==0:\n",
    "        pl.set_ylabel(\"2015-2017 anomaly [%]\")\n",
    "    else:\n",
    "        pl.set_yticklabels([])\n",
    "    pl.axvline(-0.5, color=\"0.5\", linewidth=1)\n",
    "    pl.axvline(2.5, color=\"0.5\", linewidth=1)\n",
    "    pl.axvline(5.5,color=\"0.5\", linewidth=1)\n",
    "    pl.axvline(8.5,color=\"0.5\", linewidth=1)\n",
    "    pl.axvline(11.5,color=\"0.5\", linewidth=1)\n",
    "fig.subplots_adjust(left=0.1, right=0.95, top=0.90, bottom=0.1, hspace=0.05, wspace=0.1)\n",
    "\n",
    "#fig.savefig(\"../figures_trend/fig9.png\")\n",
    "fig.savefig(\"../figures_trend/final/fig10_final_nocaption.pdf\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 272,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(prf_mon.groupby(prf_mon.index.month).apply(lambda x: x.mean()-x.min()))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 254,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SIMONSTOWN</th>\n",
       "      <th>RONDEVLEI</th>\n",
       "      <th>STEENBRAS_1</th>\n",
       "      <th>STEENBRAS_11</th>\n",
       "      <th>STEENBRAS_111</th>\n",
       "      <th>BETTY_S_BAY_HEROLD_PORTER</th>\n",
       "      <th>NUWEBERG</th>\n",
       "      <th>RUSTFONTEIN</th>\n",
       "      <th>TUSSENBEIDE</th>\n",
       "      <th>BOONTJIESKRAAL</th>\n",
       "      <th>...</th>\n",
       "      <th>DROEKLOOF</th>\n",
       "      <th>NUWERUS</th>\n",
       "      <th>NIEUWOUDTVILLE_SAPD</th>\n",
       "      <th>CALVINIA_BLINKKLIP</th>\n",
       "      <th>Haweqwas_Stateforest_Stettynskloof_Dam</th>\n",
       "      <th>Assegaaibos_Robertsvlei</th>\n",
       "      <th>Roode_Els_Berg_Roode_Els_Berg_Dam</th>\n",
       "      <th>Tafelberg_Newlands</th>\n",
       "      <th>Thee_Waters_Kloof_Theewaterskloofdam</th>\n",
       "      <th>Vogel_Vallij_Voelvlei_Dam</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1981-01-31</th>\n",
       "      <td>3.546390</td>\n",
       "      <td>2.662437</td>\n",
       "      <td>3.509113</td>\n",
       "      <td>3.856394</td>\n",
       "      <td>3.703095</td>\n",
       "      <td>2.452732</td>\n",
       "      <td>4.445750</td>\n",
       "      <td>3.453057</td>\n",
       "      <td>2.210134</td>\n",
       "      <td>2.170766</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.401205</td>\n",
       "      <td>-0.673189</td>\n",
       "      <td>-0.190688</td>\n",
       "      <td>-0.479937</td>\n",
       "      <td>2.369692</td>\n",
       "      <td>3.046118</td>\n",
       "      <td>3.317156</td>\n",
       "      <td>0.727964</td>\n",
       "      <td>3.043745</td>\n",
       "      <td>1.675471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1981-02-28</th>\n",
       "      <td>-0.981341</td>\n",
       "      <td>-0.969969</td>\n",
       "      <td>-0.779985</td>\n",
       "      <td>-0.790727</td>\n",
       "      <td>-0.858338</td>\n",
       "      <td>-0.072189</td>\n",
       "      <td>2.274090</td>\n",
       "      <td>-0.593595</td>\n",
       "      <td>2.696436</td>\n",
       "      <td>-0.850967</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.659034</td>\n",
       "      <td>-0.592330</td>\n",
       "      <td>-0.710264</td>\n",
       "      <td>-0.501773</td>\n",
       "      <td>-0.551184</td>\n",
       "      <td>-0.857639</td>\n",
       "      <td>0.198191</td>\n",
       "      <td>0.275734</td>\n",
       "      <td>1.700994</td>\n",
       "      <td>-0.840271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1981-03-31</th>\n",
       "      <td>0.762442</td>\n",
       "      <td>1.390019</td>\n",
       "      <td>0.581075</td>\n",
       "      <td>0.719068</td>\n",
       "      <td>0.552026</td>\n",
       "      <td>1.042346</td>\n",
       "      <td>0.762137</td>\n",
       "      <td>1.037692</td>\n",
       "      <td>2.516786</td>\n",
       "      <td>0.979766</td>\n",
       "      <td>...</td>\n",
       "      <td>1.194829</td>\n",
       "      <td>1.542109</td>\n",
       "      <td>0.772921</td>\n",
       "      <td>1.760328</td>\n",
       "      <td>0.385367</td>\n",
       "      <td>1.189310</td>\n",
       "      <td>-0.060387</td>\n",
       "      <td>1.091277</td>\n",
       "      <td>1.101177</td>\n",
       "      <td>0.227673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1981-04-30</th>\n",
       "      <td>0.525870</td>\n",
       "      <td>0.115534</td>\n",
       "      <td>0.384996</td>\n",
       "      <td>0.371290</td>\n",
       "      <td>0.409233</td>\n",
       "      <td>0.923491</td>\n",
       "      <td>-0.217031</td>\n",
       "      <td>-0.497403</td>\n",
       "      <td>0.734614</td>\n",
       "      <td>0.609341</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.734626</td>\n",
       "      <td>-0.557982</td>\n",
       "      <td>-0.696746</td>\n",
       "      <td>-0.824954</td>\n",
       "      <td>-0.732334</td>\n",
       "      <td>-0.844523</td>\n",
       "      <td>-0.849925</td>\n",
       "      <td>-0.446058</td>\n",
       "      <td>-0.087853</td>\n",
       "      <td>-0.142225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1981-05-31</th>\n",
       "      <td>-1.781374</td>\n",
       "      <td>-1.597926</td>\n",
       "      <td>-1.898444</td>\n",
       "      <td>-1.839377</td>\n",
       "      <td>-1.778939</td>\n",
       "      <td>-1.560737</td>\n",
       "      <td>-1.657693</td>\n",
       "      <td>-1.583238</td>\n",
       "      <td>-1.201617</td>\n",
       "      <td>-1.362598</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.992072</td>\n",
       "      <td>-1.078357</td>\n",
       "      <td>-1.107658</td>\n",
       "      <td>-0.108919</td>\n",
       "      <td>-1.589596</td>\n",
       "      <td>-1.518733</td>\n",
       "      <td>-1.103214</td>\n",
       "      <td>-1.532997</td>\n",
       "      <td>-0.985591</td>\n",
       "      <td>-1.043274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1981-06-30</th>\n",
       "      <td>-1.090377</td>\n",
       "      <td>-1.085412</td>\n",
       "      <td>-1.413998</td>\n",
       "      <td>-1.050936</td>\n",
       "      <td>-1.243498</td>\n",
       "      <td>-1.075567</td>\n",
       "      <td>-0.139920</td>\n",
       "      <td>-1.377978</td>\n",
       "      <td>-1.053783</td>\n",
       "      <td>-0.749192</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.298342</td>\n",
       "      <td>-0.762451</td>\n",
       "      <td>-0.970132</td>\n",
       "      <td>-0.834242</td>\n",
       "      <td>-1.368324</td>\n",
       "      <td>-0.755612</td>\n",
       "      <td>-1.153738</td>\n",
       "      <td>-0.247792</td>\n",
       "      <td>-1.255210</td>\n",
       "      <td>-0.676980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1981-07-31</th>\n",
       "      <td>1.404549</td>\n",
       "      <td>1.100964</td>\n",
       "      <td>1.873041</td>\n",
       "      <td>1.722377</td>\n",
       "      <td>1.254413</td>\n",
       "      <td>1.019382</td>\n",
       "      <td>1.614314</td>\n",
       "      <td>1.228657</td>\n",
       "      <td>1.143360</td>\n",
       "      <td>1.028654</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.414680</td>\n",
       "      <td>0.429114</td>\n",
       "      <td>0.914724</td>\n",
       "      <td>-0.736149</td>\n",
       "      <td>0.555508</td>\n",
       "      <td>0.669498</td>\n",
       "      <td>0.142416</td>\n",
       "      <td>0.440661</td>\n",
       "      <td>0.529370</td>\n",
       "      <td>0.074174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1981-08-31</th>\n",
       "      <td>-0.592486</td>\n",
       "      <td>-0.287915</td>\n",
       "      <td>0.446222</td>\n",
       "      <td>0.515531</td>\n",
       "      <td>0.327514</td>\n",
       "      <td>0.143534</td>\n",
       "      <td>0.767353</td>\n",
       "      <td>-0.088467</td>\n",
       "      <td>-0.080181</td>\n",
       "      <td>-0.166955</td>\n",
       "      <td>...</td>\n",
       "      <td>0.969304</td>\n",
       "      <td>1.389747</td>\n",
       "      <td>0.861975</td>\n",
       "      <td>3.401237</td>\n",
       "      <td>0.108616</td>\n",
       "      <td>-0.497577</td>\n",
       "      <td>-0.010904</td>\n",
       "      <td>-0.753526</td>\n",
       "      <td>0.397121</td>\n",
       "      <td>-0.044125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1981-09-30</th>\n",
       "      <td>0.582460</td>\n",
       "      <td>2.343262</td>\n",
       "      <td>1.103922</td>\n",
       "      <td>0.995303</td>\n",
       "      <td>0.715358</td>\n",
       "      <td>0.692446</td>\n",
       "      <td>2.045290</td>\n",
       "      <td>2.685599</td>\n",
       "      <td>0.041614</td>\n",
       "      <td>1.374255</td>\n",
       "      <td>...</td>\n",
       "      <td>0.327143</td>\n",
       "      <td>1.745399</td>\n",
       "      <td>0.430208</td>\n",
       "      <td>0.620761</td>\n",
       "      <td>2.192223</td>\n",
       "      <td>1.252352</td>\n",
       "      <td>0.805596</td>\n",
       "      <td>0.696770</td>\n",
       "      <td>2.229566</td>\n",
       "      <td>1.185626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1981-10-31</th>\n",
       "      <td>-0.738232</td>\n",
       "      <td>-0.864814</td>\n",
       "      <td>-0.903828</td>\n",
       "      <td>-0.870463</td>\n",
       "      <td>-0.803160</td>\n",
       "      <td>-1.390742</td>\n",
       "      <td>-0.630053</td>\n",
       "      <td>-0.702941</td>\n",
       "      <td>-1.167433</td>\n",
       "      <td>-0.756458</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.216638</td>\n",
       "      <td>-0.487495</td>\n",
       "      <td>-0.050418</td>\n",
       "      <td>-0.240351</td>\n",
       "      <td>-0.759234</td>\n",
       "      <td>-0.547456</td>\n",
       "      <td>-0.108592</td>\n",
       "      <td>-0.845022</td>\n",
       "      <td>-0.729038</td>\n",
       "      <td>-0.587533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1981-11-30</th>\n",
       "      <td>0.493404</td>\n",
       "      <td>-0.114510</td>\n",
       "      <td>-0.175464</td>\n",
       "      <td>-0.113463</td>\n",
       "      <td>-0.278805</td>\n",
       "      <td>0.365249</td>\n",
       "      <td>-0.564210</td>\n",
       "      <td>-0.754224</td>\n",
       "      <td>0.597997</td>\n",
       "      <td>-0.169446</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.500469</td>\n",
       "      <td>-0.675177</td>\n",
       "      <td>-0.718129</td>\n",
       "      <td>-0.473295</td>\n",
       "      <td>-0.548603</td>\n",
       "      <td>0.014734</td>\n",
       "      <td>-0.551459</td>\n",
       "      <td>-0.345024</td>\n",
       "      <td>-0.699289</td>\n",
       "      <td>-0.267893</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1981-12-31</th>\n",
       "      <td>0.539061</td>\n",
       "      <td>0.076786</td>\n",
       "      <td>0.251574</td>\n",
       "      <td>0.411540</td>\n",
       "      <td>0.136380</td>\n",
       "      <td>-0.239755</td>\n",
       "      <td>0.011113</td>\n",
       "      <td>-0.743755</td>\n",
       "      <td>-0.638758</td>\n",
       "      <td>-0.442040</td>\n",
       "      <td>...</td>\n",
       "      <td>0.023174</td>\n",
       "      <td>-0.491564</td>\n",
       "      <td>-0.652131</td>\n",
       "      <td>0.000365</td>\n",
       "      <td>-0.715750</td>\n",
       "      <td>0.054538</td>\n",
       "      <td>-1.010418</td>\n",
       "      <td>0.223923</td>\n",
       "      <td>-0.040336</td>\n",
       "      <td>-0.397150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1982-01-31</th>\n",
       "      <td>0.964869</td>\n",
       "      <td>0.296039</td>\n",
       "      <td>0.720957</td>\n",
       "      <td>0.783274</td>\n",
       "      <td>0.825513</td>\n",
       "      <td>-0.069684</td>\n",
       "      <td>0.275353</td>\n",
       "      <td>0.120093</td>\n",
       "      <td>-0.118180</td>\n",
       "      <td>-0.209010</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.472999</td>\n",
       "      <td>0.679309</td>\n",
       "      <td>0.081343</td>\n",
       "      <td>-0.247379</td>\n",
       "      <td>0.432216</td>\n",
       "      <td>0.889314</td>\n",
       "      <td>0.215581</td>\n",
       "      <td>0.696412</td>\n",
       "      <td>-0.371085</td>\n",
       "      <td>1.499325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1982-02-28</th>\n",
       "      <td>-0.021774</td>\n",
       "      <td>0.141961</td>\n",
       "      <td>-0.597850</td>\n",
       "      <td>-0.710849</td>\n",
       "      <td>-0.739953</td>\n",
       "      <td>-0.722016</td>\n",
       "      <td>-1.053576</td>\n",
       "      <td>-0.869805</td>\n",
       "      <td>-0.793563</td>\n",
       "      <td>-0.551701</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.877968</td>\n",
       "      <td>-0.592330</td>\n",
       "      <td>-0.710264</td>\n",
       "      <td>-0.501773</td>\n",
       "      <td>-0.922318</td>\n",
       "      <td>-0.435075</td>\n",
       "      <td>-0.818566</td>\n",
       "      <td>-0.549473</td>\n",
       "      <td>-0.850437</td>\n",
       "      <td>-0.626792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1982-03-31</th>\n",
       "      <td>-0.128707</td>\n",
       "      <td>-0.679296</td>\n",
       "      <td>-0.565905</td>\n",
       "      <td>-0.384509</td>\n",
       "      <td>-0.531575</td>\n",
       "      <td>-0.218306</td>\n",
       "      <td>0.115302</td>\n",
       "      <td>-0.600469</td>\n",
       "      <td>-0.572726</td>\n",
       "      <td>-0.609058</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.302246</td>\n",
       "      <td>0.998712</td>\n",
       "      <td>0.491357</td>\n",
       "      <td>-0.911659</td>\n",
       "      <td>-0.132246</td>\n",
       "      <td>-0.521421</td>\n",
       "      <td>0.004576</td>\n",
       "      <td>-0.515389</td>\n",
       "      <td>-0.026626</td>\n",
       "      <td>0.511902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1982-04-30</th>\n",
       "      <td>-0.272173</td>\n",
       "      <td>-0.142714</td>\n",
       "      <td>0.039841</td>\n",
       "      <td>-0.017433</td>\n",
       "      <td>0.100827</td>\n",
       "      <td>-0.003686</td>\n",
       "      <td>0.795699</td>\n",
       "      <td>1.359984</td>\n",
       "      <td>1.361360</td>\n",
       "      <td>1.604643</td>\n",
       "      <td>...</td>\n",
       "      <td>1.736934</td>\n",
       "      <td>0.663680</td>\n",
       "      <td>0.206375</td>\n",
       "      <td>1.372788</td>\n",
       "      <td>1.151476</td>\n",
       "      <td>0.211698</td>\n",
       "      <td>1.013768</td>\n",
       "      <td>-0.692452</td>\n",
       "      <td>1.425528</td>\n",
       "      <td>3.059309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1982-05-31</th>\n",
       "      <td>-1.012522</td>\n",
       "      <td>-1.012055</td>\n",
       "      <td>-1.323291</td>\n",
       "      <td>-1.302352</td>\n",
       "      <td>-1.471024</td>\n",
       "      <td>-0.868907</td>\n",
       "      <td>-0.357962</td>\n",
       "      <td>-0.475749</td>\n",
       "      <td>-1.190389</td>\n",
       "      <td>-1.260633</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.700746</td>\n",
       "      <td>-0.900959</td>\n",
       "      <td>-0.523866</td>\n",
       "      <td>-0.808669</td>\n",
       "      <td>-0.883338</td>\n",
       "      <td>-0.336322</td>\n",
       "      <td>-0.727025</td>\n",
       "      <td>-0.961881</td>\n",
       "      <td>-1.276960</td>\n",
       "      <td>-0.514118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1982-06-30</th>\n",
       "      <td>-0.711799</td>\n",
       "      <td>-0.611670</td>\n",
       "      <td>-0.720689</td>\n",
       "      <td>-0.557591</td>\n",
       "      <td>-0.722485</td>\n",
       "      <td>-0.421646</td>\n",
       "      <td>0.055805</td>\n",
       "      <td>-0.384002</td>\n",
       "      <td>-0.504583</td>\n",
       "      <td>0.098856</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.796235</td>\n",
       "      <td>0.169649</td>\n",
       "      <td>-0.502216</td>\n",
       "      <td>0.215431</td>\n",
       "      <td>-0.741475</td>\n",
       "      <td>-0.249370</td>\n",
       "      <td>-0.818152</td>\n",
       "      <td>-0.538898</td>\n",
       "      <td>-0.274428</td>\n",
       "      <td>-0.297585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1982-07-31</th>\n",
       "      <td>-0.818466</td>\n",
       "      <td>-1.067361</td>\n",
       "      <td>-1.199618</td>\n",
       "      <td>-1.075465</td>\n",
       "      <td>-1.147936</td>\n",
       "      <td>-1.676317</td>\n",
       "      <td>-1.010254</td>\n",
       "      <td>-0.862093</td>\n",
       "      <td>-0.713999</td>\n",
       "      <td>-1.199524</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.216211</td>\n",
       "      <td>0.152656</td>\n",
       "      <td>-0.141741</td>\n",
       "      <td>-0.077394</td>\n",
       "      <td>-0.884414</td>\n",
       "      <td>-0.920308</td>\n",
       "      <td>-0.999839</td>\n",
       "      <td>-0.815848</td>\n",
       "      <td>-0.640951</td>\n",
       "      <td>-0.273076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1982-08-31</th>\n",
       "      <td>-0.330923</td>\n",
       "      <td>-0.278945</td>\n",
       "      <td>-0.087933</td>\n",
       "      <td>-0.239725</td>\n",
       "      <td>-0.470767</td>\n",
       "      <td>-0.179861</td>\n",
       "      <td>-0.517645</td>\n",
       "      <td>-0.634085</td>\n",
       "      <td>-0.636928</td>\n",
       "      <td>-0.440203</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.062225</td>\n",
       "      <td>-1.030069</td>\n",
       "      <td>-0.851242</td>\n",
       "      <td>-0.944194</td>\n",
       "      <td>-0.619304</td>\n",
       "      <td>-0.340489</td>\n",
       "      <td>-0.992974</td>\n",
       "      <td>0.076334</td>\n",
       "      <td>-0.631738</td>\n",
       "      <td>-0.562496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1982-09-30</th>\n",
       "      <td>-1.103339</td>\n",
       "      <td>-0.750964</td>\n",
       "      <td>-1.219033</td>\n",
       "      <td>-1.211567</td>\n",
       "      <td>-1.280022</td>\n",
       "      <td>-0.953631</td>\n",
       "      <td>-0.894171</td>\n",
       "      <td>-1.025306</td>\n",
       "      <td>-1.449617</td>\n",
       "      <td>-1.124680</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.689703</td>\n",
       "      <td>-1.171474</td>\n",
       "      <td>-1.015109</td>\n",
       "      <td>-0.507391</td>\n",
       "      <td>-1.153007</td>\n",
       "      <td>-1.075284</td>\n",
       "      <td>-1.008853</td>\n",
       "      <td>-0.725153</td>\n",
       "      <td>-0.597651</td>\n",
       "      <td>-1.254896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1982-10-31</th>\n",
       "      <td>0.363355</td>\n",
       "      <td>0.361549</td>\n",
       "      <td>-0.568845</td>\n",
       "      <td>-0.273350</td>\n",
       "      <td>-0.474990</td>\n",
       "      <td>-0.539615</td>\n",
       "      <td>0.747806</td>\n",
       "      <td>-0.082044</td>\n",
       "      <td>-0.868117</td>\n",
       "      <td>-0.489092</td>\n",
       "      <td>...</td>\n",
       "      <td>1.472101</td>\n",
       "      <td>0.689309</td>\n",
       "      <td>1.725952</td>\n",
       "      <td>0.696798</td>\n",
       "      <td>0.161969</td>\n",
       "      <td>1.133265</td>\n",
       "      <td>0.680944</td>\n",
       "      <td>0.824717</td>\n",
       "      <td>-0.802549</td>\n",
       "      <td>1.261129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1982-11-30</th>\n",
       "      <td>-0.561175</td>\n",
       "      <td>-0.075962</td>\n",
       "      <td>0.158239</td>\n",
       "      <td>0.220833</td>\n",
       "      <td>0.660202</td>\n",
       "      <td>-0.709509</td>\n",
       "      <td>-0.344503</td>\n",
       "      <td>-0.888444</td>\n",
       "      <td>-0.623709</td>\n",
       "      <td>-0.637859</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.610367</td>\n",
       "      <td>-0.675177</td>\n",
       "      <td>-0.592302</td>\n",
       "      <td>-0.205033</td>\n",
       "      <td>-0.348696</td>\n",
       "      <td>0.065227</td>\n",
       "      <td>-0.467240</td>\n",
       "      <td>-0.277878</td>\n",
       "      <td>-0.419881</td>\n",
       "      <td>-0.327874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1982-12-31</th>\n",
       "      <td>1.296707</td>\n",
       "      <td>0.735282</td>\n",
       "      <td>1.326458</td>\n",
       "      <td>1.540230</td>\n",
       "      <td>0.894363</td>\n",
       "      <td>2.599150</td>\n",
       "      <td>1.033808</td>\n",
       "      <td>-0.872350</td>\n",
       "      <td>-0.658468</td>\n",
       "      <td>-0.710214</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.399615</td>\n",
       "      <td>0.152696</td>\n",
       "      <td>0.220800</td>\n",
       "      <td>-0.454933</td>\n",
       "      <td>-0.658093</td>\n",
       "      <td>2.230947</td>\n",
       "      <td>0.431349</td>\n",
       "      <td>1.062403</td>\n",
       "      <td>-0.251735</td>\n",
       "      <td>0.705293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1983-01-31</th>\n",
       "      <td>-0.857381</td>\n",
       "      <td>-0.707887</td>\n",
       "      <td>-0.568565</td>\n",
       "      <td>-0.414601</td>\n",
       "      <td>-0.467782</td>\n",
       "      <td>-0.180040</td>\n",
       "      <td>-0.198718</td>\n",
       "      <td>-0.512712</td>\n",
       "      <td>-0.450796</td>\n",
       "      <td>-0.501581</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.760177</td>\n",
       "      <td>-0.673189</td>\n",
       "      <td>-0.145350</td>\n",
       "      <td>-0.479937</td>\n",
       "      <td>-0.582528</td>\n",
       "      <td>-0.709837</td>\n",
       "      <td>-0.530137</td>\n",
       "      <td>-0.643303</td>\n",
       "      <td>-0.562966</td>\n",
       "      <td>-0.595720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1983-02-28</th>\n",
       "      <td>2.885535</td>\n",
       "      <td>1.489754</td>\n",
       "      <td>3.210428</td>\n",
       "      <td>3.280089</td>\n",
       "      <td>2.955222</td>\n",
       "      <td>3.704378</td>\n",
       "      <td>1.613839</td>\n",
       "      <td>1.463695</td>\n",
       "      <td>1.737915</td>\n",
       "      <td>2.279498</td>\n",
       "      <td>...</td>\n",
       "      <td>0.511469</td>\n",
       "      <td>1.574971</td>\n",
       "      <td>1.135620</td>\n",
       "      <td>-0.384694</td>\n",
       "      <td>1.428375</td>\n",
       "      <td>1.460249</td>\n",
       "      <td>2.723685</td>\n",
       "      <td>1.621807</td>\n",
       "      <td>2.489242</td>\n",
       "      <td>1.656886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1983-03-31</th>\n",
       "      <td>1.294958</td>\n",
       "      <td>1.259710</td>\n",
       "      <td>1.669110</td>\n",
       "      <td>1.732601</td>\n",
       "      <td>1.201678</td>\n",
       "      <td>1.183701</td>\n",
       "      <td>0.616966</td>\n",
       "      <td>0.574265</td>\n",
       "      <td>-0.272530</td>\n",
       "      <td>-0.277838</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.489380</td>\n",
       "      <td>0.153430</td>\n",
       "      <td>0.053368</td>\n",
       "      <td>-0.449294</td>\n",
       "      <td>0.434158</td>\n",
       "      <td>0.545922</td>\n",
       "      <td>0.606004</td>\n",
       "      <td>1.677432</td>\n",
       "      <td>-0.389977</td>\n",
       "      <td>-0.018377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1983-04-30</th>\n",
       "      <td>-1.209702</td>\n",
       "      <td>-0.999729</td>\n",
       "      <td>-0.992209</td>\n",
       "      <td>-0.951392</td>\n",
       "      <td>-0.967007</td>\n",
       "      <td>-1.096374</td>\n",
       "      <td>-1.063017</td>\n",
       "      <td>-0.896578</td>\n",
       "      <td>-0.940309</td>\n",
       "      <td>-1.154720</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.825493</td>\n",
       "      <td>-0.675058</td>\n",
       "      <td>-0.675937</td>\n",
       "      <td>-0.728153</td>\n",
       "      <td>-1.094790</td>\n",
       "      <td>-0.665025</td>\n",
       "      <td>-1.091000</td>\n",
       "      <td>-0.866139</td>\n",
       "      <td>-0.919359</td>\n",
       "      <td>-1.099350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1983-05-31</th>\n",
       "      <td>1.152125</td>\n",
       "      <td>1.848596</td>\n",
       "      <td>1.472449</td>\n",
       "      <td>1.164302</td>\n",
       "      <td>1.325747</td>\n",
       "      <td>1.445188</td>\n",
       "      <td>1.094299</td>\n",
       "      <td>1.555454</td>\n",
       "      <td>2.728475</td>\n",
       "      <td>2.655457</td>\n",
       "      <td>...</td>\n",
       "      <td>2.364507</td>\n",
       "      <td>2.568753</td>\n",
       "      <td>2.985860</td>\n",
       "      <td>0.502195</td>\n",
       "      <td>1.429796</td>\n",
       "      <td>1.103811</td>\n",
       "      <td>1.245022</td>\n",
       "      <td>0.645565</td>\n",
       "      <td>1.391859</td>\n",
       "      <td>0.669227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1983-06-30</th>\n",
       "      <td>1.476857</td>\n",
       "      <td>1.881076</td>\n",
       "      <td>1.313136</td>\n",
       "      <td>1.304570</td>\n",
       "      <td>1.159995</td>\n",
       "      <td>2.338955</td>\n",
       "      <td>1.229288</td>\n",
       "      <td>0.916495</td>\n",
       "      <td>0.356325</td>\n",
       "      <td>0.584456</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.084915</td>\n",
       "      <td>0.361551</td>\n",
       "      <td>0.410221</td>\n",
       "      <td>0.258275</td>\n",
       "      <td>0.523391</td>\n",
       "      <td>1.014752</td>\n",
       "      <td>1.140991</td>\n",
       "      <td>2.783135</td>\n",
       "      <td>0.911578</td>\n",
       "      <td>0.259136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-31</th>\n",
       "      <td>-1.649834</td>\n",
       "      <td>-1.303093</td>\n",
       "      <td>-1.508340</td>\n",
       "      <td>-1.598350</td>\n",
       "      <td>-1.244474</td>\n",
       "      <td>-1.569635</td>\n",
       "      <td>-1.636210</td>\n",
       "      <td>-1.447825</td>\n",
       "      <td>-1.201617</td>\n",
       "      <td>-1.308429</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.372733</td>\n",
       "      <td>-0.692254</td>\n",
       "      <td>-0.712261</td>\n",
       "      <td>-0.155569</td>\n",
       "      <td>-1.293350</td>\n",
       "      <td>-1.505134</td>\n",
       "      <td>-0.538394</td>\n",
       "      <td>-1.380762</td>\n",
       "      <td>-1.196369</td>\n",
       "      <td>-1.389347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-30</th>\n",
       "      <td>0.219657</td>\n",
       "      <td>-0.181353</td>\n",
       "      <td>-0.307541</td>\n",
       "      <td>-0.136965</td>\n",
       "      <td>-0.018690</td>\n",
       "      <td>0.486179</td>\n",
       "      <td>-0.094886</td>\n",
       "      <td>-0.507277</td>\n",
       "      <td>0.653190</td>\n",
       "      <td>0.086405</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.074073</td>\n",
       "      <td>-1.091427</td>\n",
       "      <td>-0.937378</td>\n",
       "      <td>-0.812820</td>\n",
       "      <td>0.178743</td>\n",
       "      <td>0.175795</td>\n",
       "      <td>-0.497009</td>\n",
       "      <td>0.198173</td>\n",
       "      <td>-0.422381</td>\n",
       "      <td>0.613788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-07-31</th>\n",
       "      <td>-0.049225</td>\n",
       "      <td>-0.394125</td>\n",
       "      <td>-0.507149</td>\n",
       "      <td>0.450304</td>\n",
       "      <td>0.065751</td>\n",
       "      <td>0.018406</td>\n",
       "      <td>-0.073440</td>\n",
       "      <td>-0.022509</td>\n",
       "      <td>0.591697</td>\n",
       "      <td>0.875324</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.481099</td>\n",
       "      <td>1.811408</td>\n",
       "      <td>0.044256</td>\n",
       "      <td>0.832315</td>\n",
       "      <td>0.000928</td>\n",
       "      <td>0.120131</td>\n",
       "      <td>-1.243181</td>\n",
       "      <td>-0.512389</td>\n",
       "      <td>0.712097</td>\n",
       "      <td>-0.036512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-08-31</th>\n",
       "      <td>-0.852813</td>\n",
       "      <td>-0.695958</td>\n",
       "      <td>-1.021743</td>\n",
       "      <td>-0.738652</td>\n",
       "      <td>-0.551699</td>\n",
       "      <td>-0.217705</td>\n",
       "      <td>-0.743148</td>\n",
       "      <td>-0.988141</td>\n",
       "      <td>-0.357437</td>\n",
       "      <td>-0.446143</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.642645</td>\n",
       "      <td>-0.900104</td>\n",
       "      <td>-0.858000</td>\n",
       "      <td>-0.617693</td>\n",
       "      <td>-0.411395</td>\n",
       "      <td>-1.235889</td>\n",
       "      <td>-1.118741</td>\n",
       "      <td>-1.156750</td>\n",
       "      <td>-0.728372</td>\n",
       "      <td>0.157125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-30</th>\n",
       "      <td>-0.359614</td>\n",
       "      <td>-0.396412</td>\n",
       "      <td>-0.791624</td>\n",
       "      <td>-0.331768</td>\n",
       "      <td>-0.184948</td>\n",
       "      <td>-0.152295</td>\n",
       "      <td>-0.588846</td>\n",
       "      <td>-0.806389</td>\n",
       "      <td>-0.562939</td>\n",
       "      <td>-0.514406</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.169467</td>\n",
       "      <td>0.316554</td>\n",
       "      <td>-0.315637</td>\n",
       "      <td>-0.102413</td>\n",
       "      <td>-0.704598</td>\n",
       "      <td>-0.950547</td>\n",
       "      <td>-0.618712</td>\n",
       "      <td>-0.585067</td>\n",
       "      <td>0.886054</td>\n",
       "      <td>-0.456180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-31</th>\n",
       "      <td>-0.662522</td>\n",
       "      <td>-0.879682</td>\n",
       "      <td>-0.555861</td>\n",
       "      <td>-0.570736</td>\n",
       "      <td>-0.683098</td>\n",
       "      <td>-1.290328</td>\n",
       "      <td>-0.772271</td>\n",
       "      <td>-1.084566</td>\n",
       "      <td>-0.901374</td>\n",
       "      <td>-1.106671</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.886251</td>\n",
       "      <td>-0.940112</td>\n",
       "      <td>-0.867547</td>\n",
       "      <td>-0.690183</td>\n",
       "      <td>-1.133251</td>\n",
       "      <td>-0.571604</td>\n",
       "      <td>-0.922254</td>\n",
       "      <td>-0.346622</td>\n",
       "      <td>-0.946508</td>\n",
       "      <td>0.040152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-11-30</th>\n",
       "      <td>-1.208367</td>\n",
       "      <td>-1.130688</td>\n",
       "      <td>-0.998430</td>\n",
       "      <td>-1.145063</td>\n",
       "      <td>-1.200530</td>\n",
       "      <td>-1.122411</td>\n",
       "      <td>-1.116911</td>\n",
       "      <td>-0.799808</td>\n",
       "      <td>-0.813752</td>\n",
       "      <td>-0.810763</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.428779</td>\n",
       "      <td>-0.480881</td>\n",
       "      <td>-0.772055</td>\n",
       "      <td>-0.205033</td>\n",
       "      <td>-0.668757</td>\n",
       "      <td>-0.948622</td>\n",
       "      <td>-0.869848</td>\n",
       "      <td>-1.038208</td>\n",
       "      <td>-0.710203</td>\n",
       "      <td>-0.947681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-31</th>\n",
       "      <td>-0.958404</td>\n",
       "      <td>0.310712</td>\n",
       "      <td>-0.520413</td>\n",
       "      <td>-0.252146</td>\n",
       "      <td>-0.143412</td>\n",
       "      <td>-1.155169</td>\n",
       "      <td>-0.882799</td>\n",
       "      <td>-0.872350</td>\n",
       "      <td>-0.599339</td>\n",
       "      <td>-0.647372</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.637155</td>\n",
       "      <td>-0.491564</td>\n",
       "      <td>-0.673954</td>\n",
       "      <td>-0.454933</td>\n",
       "      <td>-0.376767</td>\n",
       "      <td>-0.536025</td>\n",
       "      <td>-1.073469</td>\n",
       "      <td>2.353661</td>\n",
       "      <td>-1.059751</td>\n",
       "      <td>-0.369588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-31</th>\n",
       "      <td>0.603387</td>\n",
       "      <td>0.269294</td>\n",
       "      <td>-0.240376</td>\n",
       "      <td>-0.141276</td>\n",
       "      <td>-0.044522</td>\n",
       "      <td>0.613886</td>\n",
       "      <td>-0.143469</td>\n",
       "      <td>0.515238</td>\n",
       "      <td>1.567076</td>\n",
       "      <td>1.750200</td>\n",
       "      <td>...</td>\n",
       "      <td>0.129890</td>\n",
       "      <td>-0.673189</td>\n",
       "      <td>-0.054673</td>\n",
       "      <td>-0.014820</td>\n",
       "      <td>-0.318667</td>\n",
       "      <td>-0.344902</td>\n",
       "      <td>-0.250112</td>\n",
       "      <td>-0.007424</td>\n",
       "      <td>0.835488</td>\n",
       "      <td>-0.702498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-02-28</th>\n",
       "      <td>-1.091498</td>\n",
       "      <td>-0.932335</td>\n",
       "      <td>-0.941251</td>\n",
       "      <td>-1.059945</td>\n",
       "      <td>-1.046569</td>\n",
       "      <td>-0.841490</td>\n",
       "      <td>-0.961141</td>\n",
       "      <td>-0.703126</td>\n",
       "      <td>-0.400323</td>\n",
       "      <td>-0.849113</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.789399</td>\n",
       "      <td>-0.592330</td>\n",
       "      <td>-0.710264</td>\n",
       "      <td>-0.501773</td>\n",
       "      <td>-0.966320</td>\n",
       "      <td>-0.929102</td>\n",
       "      <td>-0.873230</td>\n",
       "      <td>-1.025148</td>\n",
       "      <td>-1.317162</td>\n",
       "      <td>-0.753663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-03-31</th>\n",
       "      <td>-0.168576</td>\n",
       "      <td>-0.467278</td>\n",
       "      <td>-0.595378</td>\n",
       "      <td>-0.311217</td>\n",
       "      <td>-0.628008</td>\n",
       "      <td>-0.504968</td>\n",
       "      <td>-0.461705</td>\n",
       "      <td>-0.798054</td>\n",
       "      <td>-0.647775</td>\n",
       "      <td>-0.888526</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.895212</td>\n",
       "      <td>-0.872986</td>\n",
       "      <td>-1.041603</td>\n",
       "      <td>-0.911659</td>\n",
       "      <td>-0.760147</td>\n",
       "      <td>-0.604508</td>\n",
       "      <td>-0.506743</td>\n",
       "      <td>-0.039838</td>\n",
       "      <td>-1.277120</td>\n",
       "      <td>-0.815916</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-04-30</th>\n",
       "      <td>-1.195841</td>\n",
       "      <td>-0.611199</td>\n",
       "      <td>-1.226299</td>\n",
       "      <td>-1.016821</td>\n",
       "      <td>-1.131015</td>\n",
       "      <td>-1.115657</td>\n",
       "      <td>-0.897452</td>\n",
       "      <td>-0.747906</td>\n",
       "      <td>-0.421623</td>\n",
       "      <td>-0.519658</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.770145</td>\n",
       "      <td>-0.827766</td>\n",
       "      <td>-1.133740</td>\n",
       "      <td>-0.419824</td>\n",
       "      <td>-0.712123</td>\n",
       "      <td>-1.135281</td>\n",
       "      <td>-0.875887</td>\n",
       "      <td>-0.607628</td>\n",
       "      <td>-0.603046</td>\n",
       "      <td>-1.009307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-05-31</th>\n",
       "      <td>-1.729568</td>\n",
       "      <td>-1.539217</td>\n",
       "      <td>-1.880105</td>\n",
       "      <td>-1.915491</td>\n",
       "      <td>-1.702359</td>\n",
       "      <td>-1.523208</td>\n",
       "      <td>-1.883266</td>\n",
       "      <td>-1.681574</td>\n",
       "      <td>-1.208355</td>\n",
       "      <td>-1.200091</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.141020</td>\n",
       "      <td>-1.135751</td>\n",
       "      <td>-1.212322</td>\n",
       "      <td>-1.041919</td>\n",
       "      <td>-1.401236</td>\n",
       "      <td>-1.742135</td>\n",
       "      <td>-1.170735</td>\n",
       "      <td>-1.878125</td>\n",
       "      <td>-1.487738</td>\n",
       "      <td>-1.612619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-30</th>\n",
       "      <td>0.166622</td>\n",
       "      <td>-0.068618</td>\n",
       "      <td>-0.903325</td>\n",
       "      <td>-0.082783</td>\n",
       "      <td>-0.274926</td>\n",
       "      <td>-0.384519</td>\n",
       "      <td>-0.730559</td>\n",
       "      <td>-0.074149</td>\n",
       "      <td>-0.317558</td>\n",
       "      <td>-0.473902</td>\n",
       "      <td>...</td>\n",
       "      <td>0.216986</td>\n",
       "      <td>0.016126</td>\n",
       "      <td>-0.556026</td>\n",
       "      <td>0.044056</td>\n",
       "      <td>0.640603</td>\n",
       "      <td>0.010178</td>\n",
       "      <td>0.202001</td>\n",
       "      <td>0.525016</td>\n",
       "      <td>-0.190907</td>\n",
       "      <td>-0.134693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-31</th>\n",
       "      <td>-1.186012</td>\n",
       "      <td>-1.199748</td>\n",
       "      <td>-1.454739</td>\n",
       "      <td>-0.909126</td>\n",
       "      <td>-1.135424</td>\n",
       "      <td>-0.576234</td>\n",
       "      <td>-1.155981</td>\n",
       "      <td>-1.207998</td>\n",
       "      <td>-0.769442</td>\n",
       "      <td>-0.517695</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.063867</td>\n",
       "      <td>-1.243016</td>\n",
       "      <td>-1.232926</td>\n",
       "      <td>-1.128265</td>\n",
       "      <td>-1.113436</td>\n",
       "      <td>-1.240930</td>\n",
       "      <td>-1.129898</td>\n",
       "      <td>-1.624281</td>\n",
       "      <td>-0.295075</td>\n",
       "      <td>-1.126009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-08-31</th>\n",
       "      <td>-1.062459</td>\n",
       "      <td>-1.078322</td>\n",
       "      <td>-0.912222</td>\n",
       "      <td>-0.445704</td>\n",
       "      <td>-0.246366</td>\n",
       "      <td>0.324154</td>\n",
       "      <td>-1.100041</td>\n",
       "      <td>-0.800544</td>\n",
       "      <td>0.000312</td>\n",
       "      <td>-0.285758</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.943744</td>\n",
       "      <td>-1.147656</td>\n",
       "      <td>-1.158743</td>\n",
       "      <td>-0.772765</td>\n",
       "      <td>-0.718297</td>\n",
       "      <td>-0.098873</td>\n",
       "      <td>-0.653227</td>\n",
       "      <td>-0.063276</td>\n",
       "      <td>-0.711319</td>\n",
       "      <td>-0.586890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-30</th>\n",
       "      <td>-1.063214</td>\n",
       "      <td>-0.912974</td>\n",
       "      <td>-1.372363</td>\n",
       "      <td>-1.147671</td>\n",
       "      <td>-1.212449</td>\n",
       "      <td>-0.999880</td>\n",
       "      <td>-1.329122</td>\n",
       "      <td>-0.619509</td>\n",
       "      <td>-0.865216</td>\n",
       "      <td>-0.662994</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.228341</td>\n",
       "      <td>-1.171474</td>\n",
       "      <td>-1.181282</td>\n",
       "      <td>-0.955623</td>\n",
       "      <td>-0.689038</td>\n",
       "      <td>-0.633606</td>\n",
       "      <td>-1.061260</td>\n",
       "      <td>-0.581404</td>\n",
       "      <td>-0.807940</td>\n",
       "      <td>-1.203697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-31</th>\n",
       "      <td>-0.236412</td>\n",
       "      <td>-0.396473</td>\n",
       "      <td>-0.392265</td>\n",
       "      <td>-0.060262</td>\n",
       "      <td>0.522859</td>\n",
       "      <td>-0.642420</td>\n",
       "      <td>-0.893195</td>\n",
       "      <td>-0.085073</td>\n",
       "      <td>-0.685201</td>\n",
       "      <td>-0.549343</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.297216</td>\n",
       "      <td>-0.578018</td>\n",
       "      <td>-0.521155</td>\n",
       "      <td>-0.163550</td>\n",
       "      <td>-0.059197</td>\n",
       "      <td>0.452283</td>\n",
       "      <td>-0.348376</td>\n",
       "      <td>0.584243</td>\n",
       "      <td>-1.004704</td>\n",
       "      <td>-0.037234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-30</th>\n",
       "      <td>1.696937</td>\n",
       "      <td>0.639179</td>\n",
       "      <td>0.389071</td>\n",
       "      <td>0.366447</td>\n",
       "      <td>0.614116</td>\n",
       "      <td>2.358916</td>\n",
       "      <td>0.052000</td>\n",
       "      <td>0.094085</td>\n",
       "      <td>0.241364</td>\n",
       "      <td>0.122919</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.188432</td>\n",
       "      <td>-0.092290</td>\n",
       "      <td>-0.442508</td>\n",
       "      <td>-0.701514</td>\n",
       "      <td>0.136189</td>\n",
       "      <td>-0.180595</td>\n",
       "      <td>0.016941</td>\n",
       "      <td>-0.242330</td>\n",
       "      <td>-0.077171</td>\n",
       "      <td>0.611832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-31</th>\n",
       "      <td>-0.351035</td>\n",
       "      <td>-0.346554</td>\n",
       "      <td>-0.520413</td>\n",
       "      <td>-0.689672</td>\n",
       "      <td>-0.441010</td>\n",
       "      <td>-1.000728</td>\n",
       "      <td>-0.956029</td>\n",
       "      <td>-0.582773</td>\n",
       "      <td>-0.610016</td>\n",
       "      <td>-0.617800</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.681552</td>\n",
       "      <td>-0.491564</td>\n",
       "      <td>-0.695777</td>\n",
       "      <td>-0.583839</td>\n",
       "      <td>-1.058971</td>\n",
       "      <td>-0.577323</td>\n",
       "      <td>-1.073469</td>\n",
       "      <td>-0.335063</td>\n",
       "      <td>-0.463135</td>\n",
       "      <td>-0.534955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-31</th>\n",
       "      <td>-0.256583</td>\n",
       "      <td>-0.793343</td>\n",
       "      <td>-0.856094</td>\n",
       "      <td>-0.749720</td>\n",
       "      <td>-0.620626</td>\n",
       "      <td>1.705016</td>\n",
       "      <td>0.758335</td>\n",
       "      <td>0.137892</td>\n",
       "      <td>0.219780</td>\n",
       "      <td>-0.545390</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.255042</td>\n",
       "      <td>-0.673189</td>\n",
       "      <td>0.162952</td>\n",
       "      <td>-0.053701</td>\n",
       "      <td>-0.666579</td>\n",
       "      <td>-0.412559</td>\n",
       "      <td>-0.402299</td>\n",
       "      <td>0.235278</td>\n",
       "      <td>0.054956</td>\n",
       "      <td>-0.543967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-28</th>\n",
       "      <td>-0.115846</td>\n",
       "      <td>-2.049710</td>\n",
       "      <td>0.446392</td>\n",
       "      <td>-0.006740</td>\n",
       "      <td>1.306319</td>\n",
       "      <td>0.018145</td>\n",
       "      <td>-0.307492</td>\n",
       "      <td>-0.879843</td>\n",
       "      <td>0.021846</td>\n",
       "      <td>0.144589</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.267373</td>\n",
       "      <td>-0.592330</td>\n",
       "      <td>-0.630009</td>\n",
       "      <td>-0.492593</td>\n",
       "      <td>-0.755395</td>\n",
       "      <td>-0.139901</td>\n",
       "      <td>-0.818566</td>\n",
       "      <td>-0.523586</td>\n",
       "      <td>-0.948967</td>\n",
       "      <td>-0.309615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-31</th>\n",
       "      <td>-0.212438</td>\n",
       "      <td>-0.275186</td>\n",
       "      <td>-0.170480</td>\n",
       "      <td>-0.080868</td>\n",
       "      <td>0.186596</td>\n",
       "      <td>0.926955</td>\n",
       "      <td>-0.623413</td>\n",
       "      <td>-0.509754</td>\n",
       "      <td>-0.351408</td>\n",
       "      <td>-0.303714</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.010325</td>\n",
       "      <td>1.119467</td>\n",
       "      <td>0.003313</td>\n",
       "      <td>-0.249564</td>\n",
       "      <td>-0.626883</td>\n",
       "      <td>-0.568291</td>\n",
       "      <td>-0.422921</td>\n",
       "      <td>0.010600</td>\n",
       "      <td>-0.979833</td>\n",
       "      <td>-0.714102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-04-30</th>\n",
       "      <td>-0.878881</td>\n",
       "      <td>-0.428065</td>\n",
       "      <td>-0.618005</td>\n",
       "      <td>-0.227830</td>\n",
       "      <td>-0.300279</td>\n",
       "      <td>-0.609413</td>\n",
       "      <td>-0.213353</td>\n",
       "      <td>-0.307316</td>\n",
       "      <td>-0.547884</td>\n",
       "      <td>-0.452810</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.431258</td>\n",
       "      <td>-0.675058</td>\n",
       "      <td>-0.405417</td>\n",
       "      <td>0.281066</td>\n",
       "      <td>0.316721</td>\n",
       "      <td>0.690855</td>\n",
       "      <td>0.301126</td>\n",
       "      <td>-0.069063</td>\n",
       "      <td>-0.767832</td>\n",
       "      <td>-0.359974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-31</th>\n",
       "      <td>-0.764846</td>\n",
       "      <td>-0.437809</td>\n",
       "      <td>-0.828160</td>\n",
       "      <td>-0.995077</td>\n",
       "      <td>-0.118108</td>\n",
       "      <td>-0.421724</td>\n",
       "      <td>-0.207580</td>\n",
       "      <td>-0.422576</td>\n",
       "      <td>-0.374572</td>\n",
       "      <td>-0.323831</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.048459</td>\n",
       "      <td>-0.133970</td>\n",
       "      <td>-0.158706</td>\n",
       "      <td>0.099846</td>\n",
       "      <td>-0.132993</td>\n",
       "      <td>-0.264745</td>\n",
       "      <td>-0.112910</td>\n",
       "      <td>-0.220125</td>\n",
       "      <td>-0.781017</td>\n",
       "      <td>-0.309501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-30</th>\n",
       "      <td>0.828743</td>\n",
       "      <td>0.315347</td>\n",
       "      <td>-0.694091</td>\n",
       "      <td>-0.347991</td>\n",
       "      <td>0.702187</td>\n",
       "      <td>0.078975</td>\n",
       "      <td>-1.014620</td>\n",
       "      <td>-0.341658</td>\n",
       "      <td>0.104830</td>\n",
       "      <td>0.053202</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.082513</td>\n",
       "      <td>-1.316227</td>\n",
       "      <td>-0.153618</td>\n",
       "      <td>-0.330801</td>\n",
       "      <td>0.350015</td>\n",
       "      <td>-0.720494</td>\n",
       "      <td>0.132388</td>\n",
       "      <td>0.506960</td>\n",
       "      <td>-0.234480</td>\n",
       "      <td>0.367200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-31</th>\n",
       "      <td>-1.327509</td>\n",
       "      <td>-0.711730</td>\n",
       "      <td>-1.362223</td>\n",
       "      <td>-1.564908</td>\n",
       "      <td>-1.234131</td>\n",
       "      <td>-0.908949</td>\n",
       "      <td>-0.394633</td>\n",
       "      <td>-0.440230</td>\n",
       "      <td>-0.531024</td>\n",
       "      <td>-0.155575</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.563709</td>\n",
       "      <td>-0.484983</td>\n",
       "      <td>-0.054942</td>\n",
       "      <td>-0.136687</td>\n",
       "      <td>-1.088910</td>\n",
       "      <td>-0.742623</td>\n",
       "      <td>-1.085955</td>\n",
       "      <td>-1.222673</td>\n",
       "      <td>-0.438101</td>\n",
       "      <td>0.079458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31</th>\n",
       "      <td>-0.650206</td>\n",
       "      <td>-0.813488</td>\n",
       "      <td>-0.687416</td>\n",
       "      <td>0.137140</td>\n",
       "      <td>-0.005410</td>\n",
       "      <td>-0.787086</td>\n",
       "      <td>-0.062910</td>\n",
       "      <td>-0.441560</td>\n",
       "      <td>-0.217930</td>\n",
       "      <td>-0.288729</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.485559</td>\n",
       "      <td>-0.460701</td>\n",
       "      <td>0.081397</td>\n",
       "      <td>-0.430291</td>\n",
       "      <td>-0.444985</td>\n",
       "      <td>-0.312681</td>\n",
       "      <td>-0.400943</td>\n",
       "      <td>-0.322411</td>\n",
       "      <td>-0.147723</td>\n",
       "      <td>-0.321614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-30</th>\n",
       "      <td>1.057318</td>\n",
       "      <td>-0.014521</td>\n",
       "      <td>0.210773</td>\n",
       "      <td>0.518541</td>\n",
       "      <td>0.526552</td>\n",
       "      <td>1.768228</td>\n",
       "      <td>-0.175996</td>\n",
       "      <td>0.176307</td>\n",
       "      <td>1.004903</td>\n",
       "      <td>0.939638</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.004777</td>\n",
       "      <td>0.916838</td>\n",
       "      <td>0.124914</td>\n",
       "      <td>-0.302914</td>\n",
       "      <td>0.057070</td>\n",
       "      <td>0.275809</td>\n",
       "      <td>0.034215</td>\n",
       "      <td>0.063488</td>\n",
       "      <td>0.667982</td>\n",
       "      <td>0.376118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-10-31</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>454 rows × 64 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            SIMONSTOWN  RONDEVLEI  STEENBRAS_1  STEENBRAS_11  STEENBRAS_111  \\\n",
       "1981-01-31    3.546390   2.662437     3.509113      3.856394       3.703095   \n",
       "1981-02-28   -0.981341  -0.969969    -0.779985     -0.790727      -0.858338   \n",
       "1981-03-31    0.762442   1.390019     0.581075      0.719068       0.552026   \n",
       "1981-04-30    0.525870   0.115534     0.384996      0.371290       0.409233   \n",
       "1981-05-31   -1.781374  -1.597926    -1.898444     -1.839377      -1.778939   \n",
       "1981-06-30   -1.090377  -1.085412    -1.413998     -1.050936      -1.243498   \n",
       "1981-07-31    1.404549   1.100964     1.873041      1.722377       1.254413   \n",
       "1981-08-31   -0.592486  -0.287915     0.446222      0.515531       0.327514   \n",
       "1981-09-30    0.582460   2.343262     1.103922      0.995303       0.715358   \n",
       "1981-10-31   -0.738232  -0.864814    -0.903828     -0.870463      -0.803160   \n",
       "1981-11-30    0.493404  -0.114510    -0.175464     -0.113463      -0.278805   \n",
       "1981-12-31    0.539061   0.076786     0.251574      0.411540       0.136380   \n",
       "1982-01-31    0.964869   0.296039     0.720957      0.783274       0.825513   \n",
       "1982-02-28   -0.021774   0.141961    -0.597850     -0.710849      -0.739953   \n",
       "1982-03-31   -0.128707  -0.679296    -0.565905     -0.384509      -0.531575   \n",
       "1982-04-30   -0.272173  -0.142714     0.039841     -0.017433       0.100827   \n",
       "1982-05-31   -1.012522  -1.012055    -1.323291     -1.302352      -1.471024   \n",
       "1982-06-30   -0.711799  -0.611670    -0.720689     -0.557591      -0.722485   \n",
       "1982-07-31   -0.818466  -1.067361    -1.199618     -1.075465      -1.147936   \n",
       "1982-08-31   -0.330923  -0.278945    -0.087933     -0.239725      -0.470767   \n",
       "1982-09-30   -1.103339  -0.750964    -1.219033     -1.211567      -1.280022   \n",
       "1982-10-31    0.363355   0.361549    -0.568845     -0.273350      -0.474990   \n",
       "1982-11-30   -0.561175  -0.075962     0.158239      0.220833       0.660202   \n",
       "1982-12-31    1.296707   0.735282     1.326458      1.540230       0.894363   \n",
       "1983-01-31   -0.857381  -0.707887    -0.568565     -0.414601      -0.467782   \n",
       "1983-02-28    2.885535   1.489754     3.210428      3.280089       2.955222   \n",
       "1983-03-31    1.294958   1.259710     1.669110      1.732601       1.201678   \n",
       "1983-04-30   -1.209702  -0.999729    -0.992209     -0.951392      -0.967007   \n",
       "1983-05-31    1.152125   1.848596     1.472449      1.164302       1.325747   \n",
       "1983-06-30    1.476857   1.881076     1.313136      1.304570       1.159995   \n",
       "...                ...        ...          ...           ...            ...   \n",
       "2016-05-31   -1.649834  -1.303093    -1.508340     -1.598350      -1.244474   \n",
       "2016-06-30    0.219657  -0.181353    -0.307541     -0.136965      -0.018690   \n",
       "2016-07-31   -0.049225  -0.394125    -0.507149      0.450304       0.065751   \n",
       "2016-08-31   -0.852813  -0.695958    -1.021743     -0.738652      -0.551699   \n",
       "2016-09-30   -0.359614  -0.396412    -0.791624     -0.331768      -0.184948   \n",
       "2016-10-31   -0.662522  -0.879682    -0.555861     -0.570736      -0.683098   \n",
       "2016-11-30   -1.208367  -1.130688    -0.998430     -1.145063      -1.200530   \n",
       "2016-12-31   -0.958404   0.310712    -0.520413     -0.252146      -0.143412   \n",
       "2017-01-31    0.603387   0.269294    -0.240376     -0.141276      -0.044522   \n",
       "2017-02-28   -1.091498  -0.932335    -0.941251     -1.059945      -1.046569   \n",
       "2017-03-31   -0.168576  -0.467278    -0.595378     -0.311217      -0.628008   \n",
       "2017-04-30   -1.195841  -0.611199    -1.226299     -1.016821      -1.131015   \n",
       "2017-05-31   -1.729568  -1.539217    -1.880105     -1.915491      -1.702359   \n",
       "2017-06-30    0.166622  -0.068618    -0.903325     -0.082783      -0.274926   \n",
       "2017-07-31   -1.186012  -1.199748    -1.454739     -0.909126      -1.135424   \n",
       "2017-08-31   -1.062459  -1.078322    -0.912222     -0.445704      -0.246366   \n",
       "2017-09-30   -1.063214  -0.912974    -1.372363     -1.147671      -1.212449   \n",
       "2017-10-31   -0.236412  -0.396473    -0.392265     -0.060262       0.522859   \n",
       "2017-11-30    1.696937   0.639179     0.389071      0.366447       0.614116   \n",
       "2017-12-31   -0.351035  -0.346554    -0.520413     -0.689672      -0.441010   \n",
       "2018-01-31   -0.256583  -0.793343    -0.856094     -0.749720      -0.620626   \n",
       "2018-02-28   -0.115846  -2.049710     0.446392     -0.006740       1.306319   \n",
       "2018-03-31   -0.212438  -0.275186    -0.170480     -0.080868       0.186596   \n",
       "2018-04-30   -0.878881  -0.428065    -0.618005     -0.227830      -0.300279   \n",
       "2018-05-31   -0.764846  -0.437809    -0.828160     -0.995077      -0.118108   \n",
       "2018-06-30    0.828743   0.315347    -0.694091     -0.347991       0.702187   \n",
       "2018-07-31   -1.327509  -0.711730    -1.362223     -1.564908      -1.234131   \n",
       "2018-08-31   -0.650206  -0.813488    -0.687416      0.137140      -0.005410   \n",
       "2018-09-30    1.057318  -0.014521     0.210773      0.518541       0.526552   \n",
       "2018-10-31         NaN        NaN          NaN           NaN            NaN   \n",
       "\n",
       "            BETTY_S_BAY_HEROLD_PORTER  NUWEBERG  RUSTFONTEIN  TUSSENBEIDE  \\\n",
       "1981-01-31                   2.452732  4.445750     3.453057     2.210134   \n",
       "1981-02-28                  -0.072189  2.274090    -0.593595     2.696436   \n",
       "1981-03-31                   1.042346  0.762137     1.037692     2.516786   \n",
       "1981-04-30                   0.923491 -0.217031    -0.497403     0.734614   \n",
       "1981-05-31                  -1.560737 -1.657693    -1.583238    -1.201617   \n",
       "1981-06-30                  -1.075567 -0.139920    -1.377978    -1.053783   \n",
       "1981-07-31                   1.019382  1.614314     1.228657     1.143360   \n",
       "1981-08-31                   0.143534  0.767353    -0.088467    -0.080181   \n",
       "1981-09-30                   0.692446  2.045290     2.685599     0.041614   \n",
       "1981-10-31                  -1.390742 -0.630053    -0.702941    -1.167433   \n",
       "1981-11-30                   0.365249 -0.564210    -0.754224     0.597997   \n",
       "1981-12-31                  -0.239755  0.011113    -0.743755    -0.638758   \n",
       "1982-01-31                  -0.069684  0.275353     0.120093    -0.118180   \n",
       "1982-02-28                  -0.722016 -1.053576    -0.869805    -0.793563   \n",
       "1982-03-31                  -0.218306  0.115302    -0.600469    -0.572726   \n",
       "1982-04-30                  -0.003686  0.795699     1.359984     1.361360   \n",
       "1982-05-31                  -0.868907 -0.357962    -0.475749    -1.190389   \n",
       "1982-06-30                  -0.421646  0.055805    -0.384002    -0.504583   \n",
       "1982-07-31                  -1.676317 -1.010254    -0.862093    -0.713999   \n",
       "1982-08-31                  -0.179861 -0.517645    -0.634085    -0.636928   \n",
       "1982-09-30                  -0.953631 -0.894171    -1.025306    -1.449617   \n",
       "1982-10-31                  -0.539615  0.747806    -0.082044    -0.868117   \n",
       "1982-11-30                  -0.709509 -0.344503    -0.888444    -0.623709   \n",
       "1982-12-31                   2.599150  1.033808    -0.872350    -0.658468   \n",
       "1983-01-31                  -0.180040 -0.198718    -0.512712    -0.450796   \n",
       "1983-02-28                   3.704378  1.613839     1.463695     1.737915   \n",
       "1983-03-31                   1.183701  0.616966     0.574265    -0.272530   \n",
       "1983-04-30                  -1.096374 -1.063017    -0.896578    -0.940309   \n",
       "1983-05-31                   1.445188  1.094299     1.555454     2.728475   \n",
       "1983-06-30                   2.338955  1.229288     0.916495     0.356325   \n",
       "...                               ...       ...          ...          ...   \n",
       "2016-05-31                  -1.569635 -1.636210    -1.447825    -1.201617   \n",
       "2016-06-30                   0.486179 -0.094886    -0.507277     0.653190   \n",
       "2016-07-31                   0.018406 -0.073440    -0.022509     0.591697   \n",
       "2016-08-31                  -0.217705 -0.743148    -0.988141    -0.357437   \n",
       "2016-09-30                  -0.152295 -0.588846    -0.806389    -0.562939   \n",
       "2016-10-31                  -1.290328 -0.772271    -1.084566    -0.901374   \n",
       "2016-11-30                  -1.122411 -1.116911    -0.799808    -0.813752   \n",
       "2016-12-31                  -1.155169 -0.882799    -0.872350    -0.599339   \n",
       "2017-01-31                   0.613886 -0.143469     0.515238     1.567076   \n",
       "2017-02-28                  -0.841490 -0.961141    -0.703126    -0.400323   \n",
       "2017-03-31                  -0.504968 -0.461705    -0.798054    -0.647775   \n",
       "2017-04-30                  -1.115657 -0.897452    -0.747906    -0.421623   \n",
       "2017-05-31                  -1.523208 -1.883266    -1.681574    -1.208355   \n",
       "2017-06-30                  -0.384519 -0.730559    -0.074149    -0.317558   \n",
       "2017-07-31                  -0.576234 -1.155981    -1.207998    -0.769442   \n",
       "2017-08-31                   0.324154 -1.100041    -0.800544     0.000312   \n",
       "2017-09-30                  -0.999880 -1.329122    -0.619509    -0.865216   \n",
       "2017-10-31                  -0.642420 -0.893195    -0.085073    -0.685201   \n",
       "2017-11-30                   2.358916  0.052000     0.094085     0.241364   \n",
       "2017-12-31                  -1.000728 -0.956029    -0.582773    -0.610016   \n",
       "2018-01-31                   1.705016  0.758335     0.137892     0.219780   \n",
       "2018-02-28                   0.018145 -0.307492    -0.879843     0.021846   \n",
       "2018-03-31                   0.926955 -0.623413    -0.509754    -0.351408   \n",
       "2018-04-30                  -0.609413 -0.213353    -0.307316    -0.547884   \n",
       "2018-05-31                  -0.421724 -0.207580    -0.422576    -0.374572   \n",
       "2018-06-30                   0.078975 -1.014620    -0.341658     0.104830   \n",
       "2018-07-31                  -0.908949 -0.394633    -0.440230    -0.531024   \n",
       "2018-08-31                  -0.787086 -0.062910    -0.441560    -0.217930   \n",
       "2018-09-30                   1.768228 -0.175996     0.176307     1.004903   \n",
       "2018-10-31                        NaN       NaN          NaN          NaN   \n",
       "\n",
       "            BOONTJIESKRAAL  ...  DROEKLOOF   NUWERUS  NIEUWOUDTVILLE_SAPD  \\\n",
       "1981-01-31        2.170766  ...  -0.401205 -0.673189            -0.190688   \n",
       "1981-02-28       -0.850967  ...  -0.659034 -0.592330            -0.710264   \n",
       "1981-03-31        0.979766  ...   1.194829  1.542109             0.772921   \n",
       "1981-04-30        0.609341  ...  -0.734626 -0.557982            -0.696746   \n",
       "1981-05-31       -1.362598  ...  -0.992072 -1.078357            -1.107658   \n",
       "1981-06-30       -0.749192  ...  -1.298342 -0.762451            -0.970132   \n",
       "1981-07-31        1.028654  ...  -0.414680  0.429114             0.914724   \n",
       "1981-08-31       -0.166955  ...   0.969304  1.389747             0.861975   \n",
       "1981-09-30        1.374255  ...   0.327143  1.745399             0.430208   \n",
       "1981-10-31       -0.756458  ...  -0.216638 -0.487495            -0.050418   \n",
       "1981-11-30       -0.169446  ...  -0.500469 -0.675177            -0.718129   \n",
       "1981-12-31       -0.442040  ...   0.023174 -0.491564            -0.652131   \n",
       "1982-01-31       -0.209010  ...  -0.472999  0.679309             0.081343   \n",
       "1982-02-28       -0.551701  ...  -0.877968 -0.592330            -0.710264   \n",
       "1982-03-31       -0.609058  ...  -0.302246  0.998712             0.491357   \n",
       "1982-04-30        1.604643  ...   1.736934  0.663680             0.206375   \n",
       "1982-05-31       -1.260633  ...  -0.700746 -0.900959            -0.523866   \n",
       "1982-06-30        0.098856  ...  -0.796235  0.169649            -0.502216   \n",
       "1982-07-31       -1.199524  ...  -0.216211  0.152656            -0.141741   \n",
       "1982-08-31       -0.440203  ...  -1.062225 -1.030069            -0.851242   \n",
       "1982-09-30       -1.124680  ...  -0.689703 -1.171474            -1.015109   \n",
       "1982-10-31       -0.489092  ...   1.472101  0.689309             1.725952   \n",
       "1982-11-30       -0.637859  ...  -0.610367 -0.675177            -0.592302   \n",
       "1982-12-31       -0.710214  ...  -0.399615  0.152696             0.220800   \n",
       "1983-01-31       -0.501581  ...  -0.760177 -0.673189            -0.145350   \n",
       "1983-02-28        2.279498  ...   0.511469  1.574971             1.135620   \n",
       "1983-03-31       -0.277838  ...  -0.489380  0.153430             0.053368   \n",
       "1983-04-30       -1.154720  ...  -0.825493 -0.675058            -0.675937   \n",
       "1983-05-31        2.655457  ...   2.364507  2.568753             2.985860   \n",
       "1983-06-30        0.584456  ...  -0.084915  0.361551             0.410221   \n",
       "...                    ...  ...        ...       ...                  ...   \n",
       "2016-05-31       -1.308429  ...  -0.372733 -0.692254            -0.712261   \n",
       "2016-06-30        0.086405  ...  -0.074073 -1.091427            -0.937378   \n",
       "2016-07-31        0.875324  ...  -0.481099  1.811408             0.044256   \n",
       "2016-08-31       -0.446143  ...  -0.642645 -0.900104            -0.858000   \n",
       "2016-09-30       -0.514406  ...  -0.169467  0.316554            -0.315637   \n",
       "2016-10-31       -1.106671  ...  -0.886251 -0.940112            -0.867547   \n",
       "2016-11-30       -0.810763  ...  -0.428779 -0.480881            -0.772055   \n",
       "2016-12-31       -0.647372  ...  -0.637155 -0.491564            -0.673954   \n",
       "2017-01-31        1.750200  ...   0.129890 -0.673189            -0.054673   \n",
       "2017-02-28       -0.849113  ...  -0.789399 -0.592330            -0.710264   \n",
       "2017-03-31       -0.888526  ...  -0.895212 -0.872986            -1.041603   \n",
       "2017-04-30       -0.519658  ...  -0.770145 -0.827766            -1.133740   \n",
       "2017-05-31       -1.200091  ...  -1.141020 -1.135751            -1.212322   \n",
       "2017-06-30       -0.473902  ...   0.216986  0.016126            -0.556026   \n",
       "2017-07-31       -0.517695  ...  -1.063867 -1.243016            -1.232926   \n",
       "2017-08-31       -0.285758  ...  -0.943744 -1.147656            -1.158743   \n",
       "2017-09-30       -0.662994  ...  -1.228341 -1.171474            -1.181282   \n",
       "2017-10-31       -0.549343  ...  -0.297216 -0.578018            -0.521155   \n",
       "2017-11-30        0.122919  ...  -0.188432 -0.092290            -0.442508   \n",
       "2017-12-31       -0.617800  ...  -0.681552 -0.491564            -0.695777   \n",
       "2018-01-31       -0.545390  ...  -0.255042 -0.673189             0.162952   \n",
       "2018-02-28        0.144589  ...  -0.267373 -0.592330            -0.630009   \n",
       "2018-03-31       -0.303714  ...  -0.010325  1.119467             0.003313   \n",
       "2018-04-30       -0.452810  ...  -0.431258 -0.675058            -0.405417   \n",
       "2018-05-31       -0.323831  ...  -0.048459 -0.133970            -0.158706   \n",
       "2018-06-30        0.053202  ...  -0.082513 -1.316227            -0.153618   \n",
       "2018-07-31       -0.155575  ...  -0.563709 -0.484983            -0.054942   \n",
       "2018-08-31       -0.288729  ...  -0.485559 -0.460701             0.081397   \n",
       "2018-09-30        0.939638  ...  -1.004777  0.916838             0.124914   \n",
       "2018-10-31             NaN  ...        NaN       NaN                  NaN   \n",
       "\n",
       "            CALVINIA_BLINKKLIP  Haweqwas_Stateforest_Stettynskloof_Dam  \\\n",
       "1981-01-31           -0.479937                                2.369692   \n",
       "1981-02-28           -0.501773                               -0.551184   \n",
       "1981-03-31            1.760328                                0.385367   \n",
       "1981-04-30           -0.824954                               -0.732334   \n",
       "1981-05-31           -0.108919                               -1.589596   \n",
       "1981-06-30           -0.834242                               -1.368324   \n",
       "1981-07-31           -0.736149                                0.555508   \n",
       "1981-08-31            3.401237                                0.108616   \n",
       "1981-09-30            0.620761                                2.192223   \n",
       "1981-10-31           -0.240351                               -0.759234   \n",
       "1981-11-30           -0.473295                               -0.548603   \n",
       "1981-12-31            0.000365                               -0.715750   \n",
       "1982-01-31           -0.247379                                0.432216   \n",
       "1982-02-28           -0.501773                               -0.922318   \n",
       "1982-03-31           -0.911659                               -0.132246   \n",
       "1982-04-30            1.372788                                1.151476   \n",
       "1982-05-31           -0.808669                               -0.883338   \n",
       "1982-06-30            0.215431                               -0.741475   \n",
       "1982-07-31           -0.077394                               -0.884414   \n",
       "1982-08-31           -0.944194                               -0.619304   \n",
       "1982-09-30           -0.507391                               -1.153007   \n",
       "1982-10-31            0.696798                                0.161969   \n",
       "1982-11-30           -0.205033                               -0.348696   \n",
       "1982-12-31           -0.454933                               -0.658093   \n",
       "1983-01-31           -0.479937                               -0.582528   \n",
       "1983-02-28           -0.384694                                1.428375   \n",
       "1983-03-31           -0.449294                                0.434158   \n",
       "1983-04-30           -0.728153                               -1.094790   \n",
       "1983-05-31            0.502195                                1.429796   \n",
       "1983-06-30            0.258275                                0.523391   \n",
       "...                        ...                                     ...   \n",
       "2016-05-31           -0.155569                               -1.293350   \n",
       "2016-06-30           -0.812820                                0.178743   \n",
       "2016-07-31            0.832315                                0.000928   \n",
       "2016-08-31           -0.617693                               -0.411395   \n",
       "2016-09-30           -0.102413                               -0.704598   \n",
       "2016-10-31           -0.690183                               -1.133251   \n",
       "2016-11-30           -0.205033                               -0.668757   \n",
       "2016-12-31           -0.454933                               -0.376767   \n",
       "2017-01-31           -0.014820                               -0.318667   \n",
       "2017-02-28           -0.501773                               -0.966320   \n",
       "2017-03-31           -0.911659                               -0.760147   \n",
       "2017-04-30           -0.419824                               -0.712123   \n",
       "2017-05-31           -1.041919                               -1.401236   \n",
       "2017-06-30            0.044056                                0.640603   \n",
       "2017-07-31           -1.128265                               -1.113436   \n",
       "2017-08-31           -0.772765                               -0.718297   \n",
       "2017-09-30           -0.955623                               -0.689038   \n",
       "2017-10-31           -0.163550                               -0.059197   \n",
       "2017-11-30           -0.701514                                0.136189   \n",
       "2017-12-31           -0.583839                               -1.058971   \n",
       "2018-01-31           -0.053701                               -0.666579   \n",
       "2018-02-28           -0.492593                               -0.755395   \n",
       "2018-03-31           -0.249564                               -0.626883   \n",
       "2018-04-30            0.281066                                0.316721   \n",
       "2018-05-31            0.099846                               -0.132993   \n",
       "2018-06-30           -0.330801                                0.350015   \n",
       "2018-07-31           -0.136687                               -1.088910   \n",
       "2018-08-31           -0.430291                               -0.444985   \n",
       "2018-09-30           -0.302914                                0.057070   \n",
       "2018-10-31                 NaN                                     NaN   \n",
       "\n",
       "            Assegaaibos_Robertsvlei  Roode_Els_Berg_Roode_Els_Berg_Dam  \\\n",
       "1981-01-31                 3.046118                           3.317156   \n",
       "1981-02-28                -0.857639                           0.198191   \n",
       "1981-03-31                 1.189310                          -0.060387   \n",
       "1981-04-30                -0.844523                          -0.849925   \n",
       "1981-05-31                -1.518733                          -1.103214   \n",
       "1981-06-30                -0.755612                          -1.153738   \n",
       "1981-07-31                 0.669498                           0.142416   \n",
       "1981-08-31                -0.497577                          -0.010904   \n",
       "1981-09-30                 1.252352                           0.805596   \n",
       "1981-10-31                -0.547456                          -0.108592   \n",
       "1981-11-30                 0.014734                          -0.551459   \n",
       "1981-12-31                 0.054538                          -1.010418   \n",
       "1982-01-31                 0.889314                           0.215581   \n",
       "1982-02-28                -0.435075                          -0.818566   \n",
       "1982-03-31                -0.521421                           0.004576   \n",
       "1982-04-30                 0.211698                           1.013768   \n",
       "1982-05-31                -0.336322                          -0.727025   \n",
       "1982-06-30                -0.249370                          -0.818152   \n",
       "1982-07-31                -0.920308                          -0.999839   \n",
       "1982-08-31                -0.340489                          -0.992974   \n",
       "1982-09-30                -1.075284                          -1.008853   \n",
       "1982-10-31                 1.133265                           0.680944   \n",
       "1982-11-30                 0.065227                          -0.467240   \n",
       "1982-12-31                 2.230947                           0.431349   \n",
       "1983-01-31                -0.709837                          -0.530137   \n",
       "1983-02-28                 1.460249                           2.723685   \n",
       "1983-03-31                 0.545922                           0.606004   \n",
       "1983-04-30                -0.665025                          -1.091000   \n",
       "1983-05-31                 1.103811                           1.245022   \n",
       "1983-06-30                 1.014752                           1.140991   \n",
       "...                             ...                                ...   \n",
       "2016-05-31                -1.505134                          -0.538394   \n",
       "2016-06-30                 0.175795                          -0.497009   \n",
       "2016-07-31                 0.120131                          -1.243181   \n",
       "2016-08-31                -1.235889                          -1.118741   \n",
       "2016-09-30                -0.950547                          -0.618712   \n",
       "2016-10-31                -0.571604                          -0.922254   \n",
       "2016-11-30                -0.948622                          -0.869848   \n",
       "2016-12-31                -0.536025                          -1.073469   \n",
       "2017-01-31                -0.344902                          -0.250112   \n",
       "2017-02-28                -0.929102                          -0.873230   \n",
       "2017-03-31                -0.604508                          -0.506743   \n",
       "2017-04-30                -1.135281                          -0.875887   \n",
       "2017-05-31                -1.742135                          -1.170735   \n",
       "2017-06-30                 0.010178                           0.202001   \n",
       "2017-07-31                -1.240930                          -1.129898   \n",
       "2017-08-31                -0.098873                          -0.653227   \n",
       "2017-09-30                -0.633606                          -1.061260   \n",
       "2017-10-31                 0.452283                          -0.348376   \n",
       "2017-11-30                -0.180595                           0.016941   \n",
       "2017-12-31                -0.577323                          -1.073469   \n",
       "2018-01-31                -0.412559                          -0.402299   \n",
       "2018-02-28                -0.139901                          -0.818566   \n",
       "2018-03-31                -0.568291                          -0.422921   \n",
       "2018-04-30                 0.690855                           0.301126   \n",
       "2018-05-31                -0.264745                          -0.112910   \n",
       "2018-06-30                -0.720494                           0.132388   \n",
       "2018-07-31                -0.742623                          -1.085955   \n",
       "2018-08-31                -0.312681                          -0.400943   \n",
       "2018-09-30                 0.275809                           0.034215   \n",
       "2018-10-31                      NaN                                NaN   \n",
       "\n",
       "            Tafelberg_Newlands  Thee_Waters_Kloof_Theewaterskloofdam  \\\n",
       "1981-01-31            0.727964                              3.043745   \n",
       "1981-02-28            0.275734                              1.700994   \n",
       "1981-03-31            1.091277                              1.101177   \n",
       "1981-04-30           -0.446058                             -0.087853   \n",
       "1981-05-31           -1.532997                             -0.985591   \n",
       "1981-06-30           -0.247792                             -1.255210   \n",
       "1981-07-31            0.440661                              0.529370   \n",
       "1981-08-31           -0.753526                              0.397121   \n",
       "1981-09-30            0.696770                              2.229566   \n",
       "1981-10-31           -0.845022                             -0.729038   \n",
       "1981-11-30           -0.345024                             -0.699289   \n",
       "1981-12-31            0.223923                             -0.040336   \n",
       "1982-01-31            0.696412                             -0.371085   \n",
       "1982-02-28           -0.549473                             -0.850437   \n",
       "1982-03-31           -0.515389                             -0.026626   \n",
       "1982-04-30           -0.692452                              1.425528   \n",
       "1982-05-31           -0.961881                             -1.276960   \n",
       "1982-06-30           -0.538898                             -0.274428   \n",
       "1982-07-31           -0.815848                             -0.640951   \n",
       "1982-08-31            0.076334                             -0.631738   \n",
       "1982-09-30           -0.725153                             -0.597651   \n",
       "1982-10-31            0.824717                             -0.802549   \n",
       "1982-11-30           -0.277878                             -0.419881   \n",
       "1982-12-31            1.062403                             -0.251735   \n",
       "1983-01-31           -0.643303                             -0.562966   \n",
       "1983-02-28            1.621807                              2.489242   \n",
       "1983-03-31            1.677432                             -0.389977   \n",
       "1983-04-30           -0.866139                             -0.919359   \n",
       "1983-05-31            0.645565                              1.391859   \n",
       "1983-06-30            2.783135                              0.911578   \n",
       "...                        ...                                   ...   \n",
       "2016-05-31           -1.380762                             -1.196369   \n",
       "2016-06-30            0.198173                             -0.422381   \n",
       "2016-07-31           -0.512389                              0.712097   \n",
       "2016-08-31           -1.156750                             -0.728372   \n",
       "2016-09-30           -0.585067                              0.886054   \n",
       "2016-10-31           -0.346622                             -0.946508   \n",
       "2016-11-30           -1.038208                             -0.710203   \n",
       "2016-12-31            2.353661                             -1.059751   \n",
       "2017-01-31           -0.007424                              0.835488   \n",
       "2017-02-28           -1.025148                             -1.317162   \n",
       "2017-03-31           -0.039838                             -1.277120   \n",
       "2017-04-30           -0.607628                             -0.603046   \n",
       "2017-05-31           -1.878125                             -1.487738   \n",
       "2017-06-30            0.525016                             -0.190907   \n",
       "2017-07-31           -1.624281                             -0.295075   \n",
       "2017-08-31           -0.063276                             -0.711319   \n",
       "2017-09-30           -0.581404                             -0.807940   \n",
       "2017-10-31            0.584243                             -1.004704   \n",
       "2017-11-30           -0.242330                             -0.077171   \n",
       "2017-12-31           -0.335063                             -0.463135   \n",
       "2018-01-31            0.235278                              0.054956   \n",
       "2018-02-28           -0.523586                             -0.948967   \n",
       "2018-03-31            0.010600                             -0.979833   \n",
       "2018-04-30           -0.069063                             -0.767832   \n",
       "2018-05-31           -0.220125                             -0.781017   \n",
       "2018-06-30            0.506960                             -0.234480   \n",
       "2018-07-31           -1.222673                             -0.438101   \n",
       "2018-08-31           -0.322411                             -0.147723   \n",
       "2018-09-30            0.063488                              0.667982   \n",
       "2018-10-31                 NaN                                   NaN   \n",
       "\n",
       "            Vogel_Vallij_Voelvlei_Dam  \n",
       "1981-01-31                   1.675471  \n",
       "1981-02-28                  -0.840271  \n",
       "1981-03-31                   0.227673  \n",
       "1981-04-30                  -0.142225  \n",
       "1981-05-31                  -1.043274  \n",
       "1981-06-30                  -0.676980  \n",
       "1981-07-31                   0.074174  \n",
       "1981-08-31                  -0.044125  \n",
       "1981-09-30                   1.185626  \n",
       "1981-10-31                  -0.587533  \n",
       "1981-11-30                  -0.267893  \n",
       "1981-12-31                  -0.397150  \n",
       "1982-01-31                   1.499325  \n",
       "1982-02-28                  -0.626792  \n",
       "1982-03-31                   0.511902  \n",
       "1982-04-30                   3.059309  \n",
       "1982-05-31                  -0.514118  \n",
       "1982-06-30                  -0.297585  \n",
       "1982-07-31                  -0.273076  \n",
       "1982-08-31                  -0.562496  \n",
       "1982-09-30                  -1.254896  \n",
       "1982-10-31                   1.261129  \n",
       "1982-11-30                  -0.327874  \n",
       "1982-12-31                   0.705293  \n",
       "1983-01-31                  -0.595720  \n",
       "1983-02-28                   1.656886  \n",
       "1983-03-31                  -0.018377  \n",
       "1983-04-30                  -1.099350  \n",
       "1983-05-31                   0.669227  \n",
       "1983-06-30                   0.259136  \n",
       "...                               ...  \n",
       "2016-05-31                  -1.389347  \n",
       "2016-06-30                   0.613788  \n",
       "2016-07-31                  -0.036512  \n",
       "2016-08-31                   0.157125  \n",
       "2016-09-30                  -0.456180  \n",
       "2016-10-31                   0.040152  \n",
       "2016-11-30                  -0.947681  \n",
       "2016-12-31                  -0.369588  \n",
       "2017-01-31                  -0.702498  \n",
       "2017-02-28                  -0.753663  \n",
       "2017-03-31                  -0.815916  \n",
       "2017-04-30                  -1.009307  \n",
       "2017-05-31                  -1.612619  \n",
       "2017-06-30                  -0.134693  \n",
       "2017-07-31                  -1.126009  \n",
       "2017-08-31                  -0.586890  \n",
       "2017-09-30                  -1.203697  \n",
       "2017-10-31                  -0.037234  \n",
       "2017-11-30                   0.611832  \n",
       "2017-12-31                  -0.534955  \n",
       "2018-01-31                  -0.543967  \n",
       "2018-02-28                  -0.309615  \n",
       "2018-03-31                  -0.714102  \n",
       "2018-04-30                  -0.359974  \n",
       "2018-05-31                  -0.309501  \n",
       "2018-06-30                   0.367200  \n",
       "2018-07-31                   0.079458  \n",
       "2018-08-31                  -0.321614  \n",
       "2018-09-30                   0.376118  \n",
       "2018-10-31                        NaN  \n",
       "\n",
       "[454 rows x 64 columns]"
      ]
     },
     "execution_count": 254,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pr_anom"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1\n",
      "2\n",
      "(3, 12)\n"
     ]
    }
   ],
   "source": [
    "#averaging of z-scores per station!\n",
    "anomseas1=[]\n",
    "\n",
    "for i in range(n_clusters):\n",
    "    print i\n",
    "    clustind=clu==i\n",
    "    for m,so in enumerate([\"Jan\",\"Feb\",\"Mar\", \"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"]):\n",
    "#        print so\n",
    "        prf_seas=prf_mon.iloc[:,clustind].resample(\"Q-\"+so).sum()\n",
    "        prf_seasmean=prf_seas['1981':'2014'].groupby(prf_seas['1981':'2014'].index.quarter).mean()\n",
    "        prf_seasstd=prf_seas['1981':'2014'].groupby(prf_seas['1981':'2014'].index.quarter).std()\n",
    "        ind=np.where(prf_seas.index.month==m+1)[0][0]\n",
    "        q=prf_seas.index.quarter[ind]\n",
    "        xvar=prf_seas['2015':'2017']\n",
    "        xvar=xvar[xvar.index.quarter==q].mean() #mean rainfall over the three quarters\n",
    "        xvar=(xvar-prf_seasmean.loc[q])/prf_seasmean.loc[q] #z-score per station\n",
    "        anom=xvar.mean()\n",
    "        anomseas1=anomseas1+[anom]\n",
    "\n",
    "    #annual\n",
    "#    xvar=prf_year['1900':'2018'].index.year    \n",
    "#    yvar=prf_year['1900':'2018'].iloc[:,clustind].apply(lambda x: x/x.mean()*100).mean(1).values\n",
    "#    res=fun.trend_CI(xvar, yvar, trendtype=\"TheilSen\", n_boot=1000, autocorr=\"bootstrap\", CItype=\"bootstrap\")\n",
    "#    trendseas1=trendseas1+[[res['slope'], res['pvalue'],res['CI_high'],res['CI_low']]]\n",
    "    \n",
    "anomseas1=np.array(anomseas1).reshape(-1,12)\n",
    "print anomseas1.shape\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "hasrecent=np.isnan(pr_mon['2015':'2017']).sum()<5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 277,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(-0.0818085167543706, 0.5931740416307187)\n",
      "(0.1313724985481362, 0.38967261146197185)\n",
      "(0.3615991495437203, 0.014661340389531714)\n",
      "(0.12199728314300115, 0.42467214803158204)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x288 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure(figsize=(14,4))\n",
    "\n",
    "yanom=((prf_year['2015':'2017'].mean()-prf_year['1981':'2014'].mean())/prf_year['1981':'2014'].std())\n",
    "ytr=trendspd.values[:,0]\n",
    "\n",
    "trendanomcorr=pearsonr(yanom.values[hasrecent],ytr[hasrecent])\n",
    "\n",
    "txty=0.9\n",
    "pl = fig.add_subplot(1, 5, 1)\n",
    "pl.plot(ytr[hasrecent],yanom.values[hasrecent], \"o\")\n",
    "pl.set_ylabel(\"2015-2017 anomaly [z-score]\")\n",
    "pl.set_title(\"annual\", y=1.05, fontsize=13)\n",
    "pl.set_ylim(-3,0.6)\n",
    "pl.set_xlim(-3,3)\n",
    "pl.text(0.1,txty,\"r=\"+str(np.round(trendanomcorr[0],2))+\", pval=\"+str(np.round(trendanomcorr[1],3)), transform=pl.transAxes, color=\"0.3\", fontsize=13)\n",
    "\n",
    "\n",
    "for s in range(4):\n",
    "    pl = fig.add_subplot(1, 5, s+2)\n",
    "    seas=prf_seas[prf_seas.index.quarter==s+1]\n",
    "    anom=(seas['2015':'2017'].mean()-seas['1981':'2014'].mean())/seas['1981':'2014'].std()\n",
    "    tr=seastrend[s][:,0]\n",
    "    trendanomcorr=pearsonr(anom.values[hasrecent],tr[hasrecent])\n",
    "    print(trendanomcorr)\n",
    "    pl.plot(tr[hasrecent],anom.values[hasrecent], \"o\")\n",
    "    pl.set_yticklabels([])\n",
    "    pl.set_title(snames[s], y=1.05, fontsize=13)\n",
    "    pl.set_ylim(-3,0.6)\n",
    "    pl.set_xlim(-3,3)\n",
    "    if s>1:\n",
    "        txty=0.1\n",
    "    pl.text(0.1,txty,\"r=\"+str(np.round(trendanomcorr[0],2))+\", pval=\"+str(np.round(trendanomcorr[1],3)), transform=pl.transAxes, color=\"0.3\", fontsize=13)\n",
    "\n",
    "plt.suptitle(\"1981-2014 rainfall trend [%/year]\", y=0.05, color=\"0.4\")\n",
    "fig.subplots_adjust(hspace=0.4, wspace=0.1,left=0.05, right=0.98)\n",
    "\n",
    "fig.savefig(\"../figures_trend/fig9_new.pdf\")\n",
    "fig.savefig(\"../figures_trend/fig9_new.png\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(yanom, yanommean/100, \"o\")\n",
    "\n",
    "#plt.plot(yanommean/100)\n",
    "\n",
    "#plt.plot(prf_year['1981':'2014'].std()/100)\n",
    "#plt.plot(prf_year['1981':'2014'].mean()/300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(-0.2994987940043374, 0.045640399684164196)\n",
      "(0.14364512464204002, 0.34651054760359623)\n",
      "(0.25648763513631423, 0.08899257482798045)\n",
      "(0.507668015127642, 0.00037133426697841455)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x288 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure(figsize=(14,4))\n",
    "\n",
    "yanommean=(prf_year['2015':'2017'].mean()-prf_year['1981':'2014'].mean())/prf_year['1981':'2014'].mean()*100\n",
    "ytr=trendspd.values[:,0]\n",
    "\n",
    "trendanomcorr=pearsonr(yanommean.values[hasrecent],ytr[hasrecent])\n",
    "\n",
    "txty=0.9\n",
    "pl = fig.add_subplot(1, 5, 1)\n",
    "pl.plot(ytr[hasrecent],yanommean.values[hasrecent], \"o\")\n",
    "pl.set_ylabel(\"2015-2017 anomaly [%]\")\n",
    "pl.set_title(\"annual\", y=1.05, fontsize=13)\n",
    "pl.set_ylim(-120,60)\n",
    "pl.set_xlim(-3,3)\n",
    "pl.text(0.1,txty,\"r=\"+str(np.round(trendanomcorr[0],2))+\", pval=\"+str(np.round(trendanomcorr[1],3)), transform=pl.transAxes, color=\"0.3\", fontsize=13)\n",
    "pl.axvline(0, color=\"0.8\")\n",
    "pl.axhline(0, color=\"0.8\")\n",
    "\n",
    "for s in range(4):\n",
    "    pl = fig.add_subplot(1, 5, s+2)\n",
    "    seas=prf_seas[prf_seas.index.quarter==s+1]\n",
    "    anom=(seas['2015':'2017'].mean()-seas['1981':'2014'].mean())/seas['1981':'2014'].mean()*100\n",
    "    tr=seastrend[s][:,0]\n",
    "    trendanomcorr=pearsonr(anom.values[hasrecent],tr[hasrecent])\n",
    "    print(trendanomcorr)\n",
    "    pl.plot(tr[hasrecent],anom.values[hasrecent], \"o\")\n",
    "    pl.set_yticklabels([])\n",
    "    pl.set_title(snames[s], y=1.05, fontsize=13)\n",
    "    pl.set_ylim(-120,60)\n",
    "    pl.set_xlim(-3,3)\n",
    "    if s>1:\n",
    "        txty=0.1\n",
    "    pl.text(0.1,txty,\"r=\"+str(np.round(trendanomcorr[0],2))+\", pval=\"+str(np.round(trendanomcorr[1],3)), transform=pl.transAxes, color=\"0.3\", fontsize=13)\n",
    "    pl.axvline(0, color=\"0.8\")\n",
    "    pl.axhline(0, color=\"0.8\")\n",
    "plt.suptitle(\"1981-2014 rainfall trend [%/year]\", y=0.05, color=\"0.4\")\n",
    "fig.subplots_adjust(hspace=0.4, wspace=0.1,left=0.05, right=0.98)\n",
    "\n",
    "fig.savefig(\"../figures_trend/final/fig9_final_nocaption.pdf\")\n",
    "fig.savefig(\"../figures_trend/fig9_new.png\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 288,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(-0.2994987940043374, 0.045640399684164196)\n",
      "(0.14364512464204002, 0.34651054760359623)\n",
      "(0.25648763513631423, 0.08899257482798045)\n",
      "(0.507668015127642, 0.00037133426697841455)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x288 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure(figsize=(14,4))\n",
    "\n",
    "yanommean=(prf_year['2015':'2017'].mean()-prf_year['1981':'2014'].mean())/prf_year['1981':'2014'].mean()*100\n",
    "ytr=trendspd.values[:,0]\n",
    "\n",
    "trendanomcorr=pearsonr(yanommean.values[hasrecent],ytr[hasrecent])\n",
    "\n",
    "txty=0.9\n",
    "pl = fig.add_subplot(1, 5, 1)\n",
    "pl.plot(ytr[hasrecent],yanommean.values[hasrecent], \"o\")\n",
    "pl.set_ylabel(\"2015-2017 anomaly [%]\")\n",
    "pl.set_title(\"annual\", y=1.05, fontsize=13)\n",
    "pl.set_ylim(-120,60)\n",
    "pl.set_xlim(-3,3)\n",
    "pl.text(0.1,txty,\"r=\"+str(np.round(trendanomcorr[0],2))+\", pval=\"+str(np.round(trendanomcorr[1],3)), transform=pl.transAxes, color=\"0.3\", fontsize=13)\n",
    "pl.axvline(0, color=\"0.8\")\n",
    "pl.axhline(0, color=\"0.8\")\n",
    "\n",
    "for s in range(4):\n",
    "    pl = fig.add_subplot(1, 5, s+2)\n",
    "    seas=prf_seas[prf_seas.index.quarter==s+1]\n",
    "    anom=(seas['2015':'2017'].mean()-seas['1981':'2014'].mean())/seas['1981':'2014'].mean()*100\n",
    "    tr=seastrend[s][:,0]\n",
    "    trendanomcorr=pearsonr(anom.values[hasrecent],tr[hasrecent])\n",
    "    print(trendanomcorr)\n",
    "    pl.plot(tr[hasrecent],anom.values[hasrecent], \"o\")\n",
    "    pl.set_yticklabels([])\n",
    "    pl.set_title(snames[s], y=1.05, fontsize=13)\n",
    "    pl.set_ylim(-120,60)\n",
    "    pl.set_xlim(-3,3)\n",
    "    if s>1:\n",
    "        txty=0.1\n",
    "    pl.text(0.1,txty,\"r=\"+str(np.round(trendanomcorr[0],2))+\", pval=\"+str(np.round(trendanomcorr[1],3)), transform=pl.transAxes, color=\"0.3\", fontsize=13)\n",
    "    pl.axvline(0, color=\"0.8\")\n",
    "    pl.axhline(0, color=\"0.8\")\n",
    "plt.suptitle(\"1981-2014 rainfall trend [%/year]\", y=0.05, color=\"0.4\")\n",
    "fig.subplots_adjust(hspace=0.4, wspace=0.1,left=0.05, right=0.98)\n",
    "\n",
    "fig.savefig(\"../figures_trend/fig9_new.pdf\")\n",
    "fig.savefig(\"../figures_trend/fig9_new.png\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "c of shape (64,) not acceptable as a color sequence for x with size 64, y with size 64",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-137-f7fd800a10f1>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     18\u001b[0m \u001b[0;31m#m.scatter(lons,lats, facecolors=colors, edgecolors=edgecolors,  latlon=True, linewidth=3, s=sizes, zorder=5)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     19\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 20\u001b[0;31m \u001b[0mm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscatter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlons\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mlats\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfacecolors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolors\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0medgecolors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0medgecolors\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0ms\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msize\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlatlon\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     21\u001b[0m \u001b[0;31m#for i in range(len(lons)):\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     22\u001b[0m \u001b[0;31m#    print names[i], printcols[i]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/wolski/anaconda3/envs/py2/lib/python2.7/site-packages/mpl_toolkits/basemap/__init__.pyc\u001b[0m in \u001b[0;36mwith_transform\u001b[0;34m(self, x, y, *args, **kwargs)\u001b[0m\n\u001b[1;32m    565\u001b[0m             \u001b[0;31m# convert lat/lon coords to map projection coords.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    566\u001b[0m             \u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 567\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mplotfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    568\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mwith_transform\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    569\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/wolski/anaconda3/envs/py2/lib/python2.7/site-packages/mpl_toolkits/basemap/__init__.pyc\u001b[0m in \u001b[0;36mscatter\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   3258\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_save_use_hold\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3259\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3260\u001b[0;31m             \u001b[0mret\u001b[0m \u001b[0;34m=\u001b[0m  \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscatter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3261\u001b[0m         \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3262\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_restore_hold\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/wolski/anaconda3/envs/py2/lib/python2.7/site-packages/matplotlib/__init__.pyc\u001b[0m in \u001b[0;36minner\u001b[0;34m(ax, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1865\u001b[0m                         \u001b[0;34m\"the Matplotlib list!)\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mlabel_namer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__name__\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1866\u001b[0m                         RuntimeWarning, stacklevel=2)\n\u001b[0;32m-> 1867\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1868\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1869\u001b[0m         inner.__doc__ = _add_data_doc(inner.__doc__,\n",
      "\u001b[0;32m/home/wolski/anaconda3/envs/py2/lib/python2.7/site-packages/matplotlib/axes/_axes.pyc\u001b[0m in \u001b[0;36mscatter\u001b[0;34m(self, x, y, s, c, marker, cmap, norm, vmin, vmax, alpha, linewidths, verts, edgecolors, **kwargs)\u001b[0m\n\u001b[1;32m   4291\u001b[0m                 raise ValueError(\"c of shape {} not acceptable as a color \"\n\u001b[1;32m   4292\u001b[0m                                  \u001b[0;34m\"sequence for x with size {}, y with size {}\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 4293\u001b[0;31m                                  .format(c.shape, x.size, y.size))\n\u001b[0m\u001b[1;32m   4294\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   4295\u001b[0m             \u001b[0mcolors\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mNone\u001b[0m  \u001b[0;31m# use cmap, norm after collection is created\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: c of shape (64,) not acceptable as a color sequence for x with size 64, y with size 64"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure(figsize=(7,7))\n",
    "pl = fig.add_subplot(1, 1, 1)\n",
    "m=plotsimplemap()\n",
    "mult=5\n",
    "\n",
    "#anom=((prf_year['2015':'2017'].mean()-prf_year['1981':'2015'].mean()))\n",
    "\n",
    "size=np.abs(anom)*mult\n",
    "\n",
    "colors=np.repeat(\"blue    \", nstat)\n",
    "edgecolors=np.repeat(\"blue\", nstat)\n",
    "\n",
    "sel=(anom<0)\n",
    "if sum(sel)>0:\n",
    "    colors[sel]=\"red\"\n",
    "    edgecolors[sel]=\"red\"\n",
    "    \n",
    "#m.scatter(lons,lats, facecolors=colors, edgecolors=edgecolors,  latlon=True, linewidth=3, s=sizes, zorder=5)\n",
    "\n",
    "m.scatter(lons,lats, facecolors=colors, edgecolors=edgecolors, s=size, latlon=True)\n",
    "#for i in range(len(lons)):\n",
    "#    print names[i], printcols[i]\n",
    "#    pl.text(lons[i], lats[i], names[i][0:4], size=8)\n",
    "\n",
    "ls=np.array([100,200,500])*mult\n",
    "l1 = plt.scatter([-10],[-10], s=ls[0], color=\"none\", edgecolors='0.3')\n",
    "l2 = plt.scatter([-10],[-10], s=ls[1], color=\"none\", edgecolors='0.3')\n",
    "l3 = plt.scatter([-10],[-10], s=ls[2], color=\"none\", edgecolors='0.3')\n",
    "labels = (ls.astype(\"int\")/mult).astype(\"int\").astype(\"S12\")\n",
    "leg = plt.legend([l1, l2, l3], labels, ncol=4, frameon=False, fontsize=11,\n",
    "handlelength=0, loc = (0,0), borderpad = 1,\n",
    "handletextpad=1, title='2015-2017 anomaly [mm/year]', scatterpoints = 1)\n",
    "tit=leg.get_title()\n",
    "tit.set_fontsize(14)\n",
    "pl.set_title(\"absolute anomaly\", fontsize=15)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fig=plt.figure(figsize=(7,7))\n",
    "pl = fig.add_subplot(1, 1, 1)\n",
    "m=plotsimplemap()\n",
    "mult=1.5\n",
    "\n",
    "anom=((prf_year['2015':'2017'].mean()-prf_year['1981':'2015'].mean()))\n",
    "\n",
    "size=np.abs(anom)*mult\n",
    "\n",
    "pl.scatter(lons,lats, color=\"none\", edgecolors=\"black\", s=size)\n",
    "#for i in range(len(lons)):\n",
    "#    print names[i], printcols[i]\n",
    "#    pl.text(lons[i], lats[i], names[i][0:4], size=8)\n",
    "\n",
    "ls=np.array([100,200,500])*mult\n",
    "l1 = plt.scatter([-10],[-10], s=ls[0], color=\"none\", edgecolors='0.3')\n",
    "l2 = plt.scatter([-10],[-10], s=ls[1], color=\"none\", edgecolors='0.3')\n",
    "l3 = plt.scatter([-10],[-10], s=ls[2], color=\"none\", edgecolors='0.3')\n",
    "labels = (ls.astype(\"int\")/mult).astype(\"int\").astype(\"S12\")\n",
    "leg = plt.legend([l1, l2, l3], labels, ncol=4, frameon=False, fontsize=11,\n",
    "handlelength=0, loc = (0,0), borderpad = 1,\n",
    "handletextpad=1, title='2015-2017 anomaly [mm/year]', scatterpoints = 1)\n",
    "tit=leg.get_title()\n",
    "tit.set_fontsize(14)\n",
    "pl.set_title(\"absolute anomaly\", fontsize=15)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(anom.values,trendspd.values[:,0], \"o\")\n",
    "plt.show()\n",
    "trendanomcorr=pearsonr(anom.values,trendspd.values[:,0])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure(figsize=(7,7))\n",
    "pl = fig.add_subplot(1, 1, 1)\n",
    "m=plotsimplemap()\n",
    "mult=5\n",
    "\n",
    "yanom=((prf_year['2015':'2017'].mean()-prf_year['1981':'2015'].mean())/prf_year['1981':'2015'].mean())*100\n",
    "\n",
    "size=np.abs(yanom)*mult\n",
    "\n",
    "pl.scatter(lons,lats, color=\"none\", edgecolors=\"black\", s=size)\n",
    "#for i in range(len(lons)):\n",
    "#    print names[i], printcols[i]\n",
    "#    pl.text(lons[i], lats[i], names[i][0:4], size=8)\n",
    "\n",
    "ls=np.array([10,20,50])*mult\n",
    "l1 = plt.scatter([-10],[-10], s=ls[0], color=\"none\", edgecolors='0.3')\n",
    "l2 = plt.scatter([-10],[-10], s=ls[1], color=\"none\", edgecolors='0.3')\n",
    "l3 = plt.scatter([-10],[-10], s=ls[2], color=\"none\", edgecolors='0.3')\n",
    "labels = (ls.astype(\"int\")/mult).astype(\"int\").astype(\"S12\")\n",
    "leg = plt.legend([l1, l2, l3], labels, ncol=4, frameon=False, fontsize=11,\n",
    "handlelength=0, loc = (0,0), borderpad = 1,\n",
    "handletextpad=1, title='2015-2017 anomaly \\n[% of 1981-2014]', scatterpoints = 1)\n",
    "tit=leg.get_title()\n",
    "tit.set_fontsize(14)\n",
    "pl.set_title(\"relative anomaly\", fontsize=15)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "trendanomcorr=pearsonr(yanom.values[hasrecent],trendspd.values[hasrecent,0])\n",
    "trendanomcorr\n",
    "fig=plt.figure(figsize=(7,4))\n",
    "pl = fig.add_subplot(1, 1, 1)\n",
    "pl.plot(yanom.values[hasrecent],trendspd.values[hasrecent,0], \"o\")\n",
    "pl.set_ylabel(\"2015-2017 anomaly [%]\")\n",
    "pl.set_xlabel(\"1981-2014 trend [%/year]\")\n",
    "pl.text(0.8,0.9,\"corr=\"+str(np.round(trendanomcorr[0],2)), transform=pl.transAxes)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure(figsize=(7,7))\n",
    "pl = fig.add_subplot(1, 1, 1)\n",
    "m=plotsimplemap()\n",
    "mult=0.1\n",
    "\n",
    "#z-score on 3-year means\n",
    "rm3std=prf_year['1981':'2014'].rolling(3).mean().std(0)\n",
    "rm3mean=prf_year['1981':'2014'].rolling(3).mean().mean(0)\n",
    "\n",
    "anom=((prf_year['2015':'2017'].mean()-rm3mean)/rm3std)\n",
    "\n",
    "#size=np.abs(anom)*mult\n",
    "size=np.abs(10**(-anom))*mult\n",
    "\n",
    "pl.scatter(lons,lats, color=\"none\", edgecolors=\"black\", s=size)\n",
    "#for i in range(len(lons)):\n",
    "#    print names[i], printcols[i]\n",
    "#    pl.text(lons[i], lats[i], names[i][0:4], size=8)\n",
    "\n",
    "ls=np.array([1,2,5])*mult\n",
    "l1 = plt.scatter([-10],[-10], s=ls[0], color=\"none\", edgecolors='0.3')\n",
    "l2 = plt.scatter([-10],[-10], s=ls[1], color=\"none\", edgecolors='0.3')\n",
    "l3 = plt.scatter([-10],[-10], s=ls[2], color=\"none\", edgecolors='0.3')\n",
    "labels = (ls.astype(\"int\")/mult).astype(\"int\").astype(\"S12\")\n",
    "leg = plt.legend([l1, l2, l3], labels, ncol=4, frameon=False, fontsize=11,\n",
    "handlelength=0, loc = (0,0), borderpad = 1,\n",
    "handletextpad=1, title='2015-2017 anomaly [z-score]', scatterpoints = 1)\n",
    "tit=leg.get_title()\n",
    "tit.set_fontsize(14)\n",
    "pl.set_title(\"relative anomaly [z-score]\", fontsize=15)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getCIgamma(_xvar, _avar, y0, n_boot=100):\n",
    "    import scipy.stats as stat\n",
    "    sel=~np.isnan(_avar)\n",
    "    _avar=_avar[sel]\n",
    "    c,m,sd=stat.gamma.fit(_avar)\n",
    "    res=(1/stat.gamma.cdf(_xvar, c,m,sd)).reshape(-1,1)\n",
    "    sourcedata=np.copy(_avar).reshape(-1,1)\n",
    "    bs=StationaryBootstrap(3, np.array(range(len(_avar))))\n",
    "    loc=np.where(np.array(_xvar)==int(y0))[0][0]\n",
    "    #n_boot=100\n",
    "    for data in bs.bootstrap(n_boot):\n",
    "        ind=data[0][0]\n",
    "        bootdata=sourcedata[ind,:].reshape(-1,1)\n",
    "        c,m,sd=stat.gamma.fit(bootdata)\n",
    "        temp=1/stat.gamma.cdf(_xvar, c,m,sd)\n",
    "#        print temp[loc]\n",
    "        res=np.append(res, temp.reshape(-1,1), 1)\n",
    "    _CI_low,_CI_high,CI_med=np.percentile(res, [5, 95, 50], axis=1)\n",
    "    return _CI_low,_CI_high, CI_med, res\n",
    "def getCInorm(_xvar, _avar, y0, n_boot=100):\n",
    "    import scipy.stats as stat\n",
    "    sel=~np.isnan(_avar)\n",
    "    _avar=_avar[sel]\n",
    "    m,sd=stat.norm.fit(_avar)\n",
    "    res=(1/stat.norm.cdf(_xvar, m,sd)).reshape(-1,1)\n",
    "    sourcedata=np.copy(_avar).reshape(-1,1)\n",
    "    bs=StationaryBootstrap(3, np.array(range(len(_avar))))\n",
    "#    loc=np.where(np.array(_xvar)==int(y0))[0][0]\n",
    "    #n_boot=100\n",
    "    for data in bs.bootstrap(n_boot):\n",
    "        ind=data[0][0]\n",
    "        bootdata=sourcedata[ind,:].reshape(-1,1)\n",
    "        m,sd=stat.norm.fit(bootdata)\n",
    "        temp=1/stat.norm.cdf(_xvar, m,sd) #return interval of events in the _xvar range\n",
    "#        print temp[loc]\n",
    "        res=np.append(res, temp.reshape(-1,1), 1)\n",
    "    _CI_low,_CI_high,CI_med=np.percentile(res, [5, 95, 50], axis=1) #percentiles of return interfals for each x (event size)\n",
    "    return _CI_low,_CI_high, CI_med, res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "from arch.bootstrap import StationaryBootstrap, IIDBootstrap\n",
    "fy='1933'\n",
    "ly='2017'\n",
    "yvarpd=prf_year[fy:ly].rolling(3).mean()\n",
    "#season=\"DJF\"\n",
    "#yvarpd=prf_seas[prf_seas.index.quarter==1].rolling(3).mean()[fy:ly]\n",
    "ny=1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SIMONSTOWN\n",
      "RONDEVLEI\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/wolski/anaconda3/envs/py2/lib/python2.7/site-packages/ipykernel_launcher.py:12: RuntimeWarning: divide by zero encountered in divide\n",
      "  if sys.path[0] == '':\n",
      "/home/wolski/anaconda3/envs/py2/lib/python2.7/site-packages/ipykernel_launcher.py:12: RuntimeWarning: invalid value encountered in divide\n",
      "  if sys.path[0] == '':\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "STEENBRAS_1\n",
      "STEENBRAS_11\n",
      "STEENBRAS_111\n",
      "BETTY_S_BAY_HEROLD_PORTER\n",
      "NUWEBERG\n",
      "RUSTFONTEIN\n",
      "TUSSENBEIDE\n",
      "BOONTJIESKRAAL\n",
      "GREYTON\n",
      "BLYDSKAP\n",
      "ROBBEN_ISLAND\n",
      "WOODHEAD_DAM\n",
      "TABLE_MOUNTAIN_HOUSE\n",
      "MOLTENO\n",
      "GROOTE_SCHUUR\n",
      "ALTYDGEDACHT\n",
      "STELLENBOSCH\n",
      "VRUGBAAR\n",
      "STETTYNSKLOOF\n",
      "BELLEVUE\n",
      "KWAGGASKLOOFDAM\n",
      "MCGREGOR\n",
      "RHEBOKSKRAAL\n",
      "ASHTON\n",
      "HOPEFIELD\n",
      "DARLING\n",
      "MOORREESBURG\n",
      "PORTERVILLE\n",
      "REMHOOGTE\n",
      "CERES\n",
      "BOKVELDSKLOOF\n",
      "WARMBOKVELD\n",
      "DE_DOORNS\n",
      "TOUWSRIVIER\n",
      "JAN_DE_BOERS\n",
      "PIKETBERG-SAPD\n",
      "EENDEKUIL\n",
      "MIDDELDEURVLEI\n",
      "KROMRIVIER\n",
      "LAMBERTSBAAI\n",
      "ELANDSFONTEIN\n",
      "ALGERIA_-_BOS\n",
      "REENEN\n",
      "LUTZVILLE_HOTEL\n",
      "VANRHYNSDORP\n",
      "BULSHOEK_DAM\n",
      "SANDVLEI\n",
      "KANOLVLEI\n",
      "KREITZBERG\n",
      "VONDELINGSFONTEIN\n",
      "CALVINIA_BO-DOWNES\n",
      "DE_HOOP\n",
      "DROEKLOOF\n",
      "NUWERUS\n",
      "NIEUWOUDTVILLE_SAPD\n",
      "CALVINIA_BLINKKLIP\n",
      "Haweqwas_Stateforest_Stettynskloof_Dam\n",
      "Assegaaibos_Robertsvlei\n",
      "Roode_Els_Berg_Roode_Els_Berg_Dam\n",
      "Tafelberg_Newlands\n",
      "Thee_Waters_Kloof_Theewaterskloofdam\n",
      "Vogel_Vallij_Voelvlei_Dam\n"
     ]
    }
   ],
   "source": [
    "RIwith={}\n",
    "RIwithout={}\n",
    "CIrange={}\n",
    "CIlow={}\n",
    "CIhigh={}\n",
    "for key in prf_year.keys():\n",
    "    print key\n",
    "    yvar=yvarpd[key].values.flatten()[(ny+1):]\n",
    "    event=yvar[-1]\n",
    "    ytheor=range(0,2000)\n",
    "    CI_low,CI_high,CI_med, CI_dist=getCInorm(ytheor,yvar, event, 200)\n",
    "    CIrange[key]=(np.log10(CI_high)-np.log10(CI_low))/np.log10(CI_med)\n",
    "    CIlow[key]=CI_low\n",
    "    CIhigh[key]=CI_high\n",
    "    RIwith[key]=CI_med\n",
    "    CI_low,CI_high,CI_med, CI_dist=getCInorm(np.array(ytheor),yvar[:-1], event, 100)\n",
    "    RIwithout[key]=CI_dist\n",
    "\n",
    "aRIwith={}\n",
    "aRIwithout={}\n",
    "aCIrange={}\n",
    "aCIlow={}\n",
    "aCIhigh={}\n",
    "for key in pr_year.keys():\n",
    "    event=yvarpd[key].values[-1]\n",
    "#    print key, event\n",
    "    pos=np.where(np.array(ytheor)==int(event))[0][0]\n",
    "    aRIwith[key]=RIwith[key][pos] #RIwith is already median \n",
    "    aRIwithout[key]=np.nanmedian(RIwithout[key][int(event),:]) #RIwithout is a full distribution from bootstrap\n",
    "    aCIrange[key]=CIrange[key][pos]\n",
    "    aCIlow[key]=CIlow[key][pos]\n",
    "    aCIhigh[key]=CIhigh[key][pos]\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "45\n"
     ]
    },
    {
     "data": {
      "image/png": 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2WVhYKJdU5ufnmZ+fL4e+bdusra3x4MEDwDmbsdmt6u00l3AaP53oUwzU/zOt4zr/NyfEIVBKcevWLYCq253bwbIsbt68yfz8/IFcv5Z8Ps/8/HzVcoMbmI1oZo23Uqoc1gsLC7vGYts2y8vLLCws1Fzqd9hu+Gypn0vKI+KxsLy8XF7GdlDHZT148KDcpKieI6/a/XVrabREst9uyGqUUqysrKBp2p47E+fn51uqQbeTW8/2U2kEZKYtHgO5XI4HDx6UwySXy7V9ppdOp1lbW0MpVT6x/DDkcjnW19f3DMJGSyTN1pGVUvuG/X5byg9LLOe0Wg0FFGcGOz2axkhoiyNNKcWdO3e2BUUgEGhrqLpfww0spVRLm04a4d7s20ujJZKDvPnnFW5p5NwQdPksBVsujxiGEQC+CSyapvme1ockRPtsbGyQTCa3hbZSilQqVfPg10ZFo9FtPwSUUkSjUWZmZtpy/VrcNdL1zFzT6TS5XK6uVTPNbsjxk5s+2wVZqR0/Y34RuNGG6wjRVoVCoeoyONu227bCo1gscvfu3V1fI5VKtXx47H4WFxfrLjXUu9FmrxNrjgpbPQrtp312ExJanGkbhjEDfD/w68B/2fnx4eHW/0bacY1OkvF3zs6ySKWtra22PLdbt25VrY8HAgGUUgf2PVAoFFhZWak7tG3bJhKJlI/eUkpRLBaxbZvu7u7yTdN6d0L6ja3gjSR8KwL/vAFpS2OsRzHee3BfU9O0A/n+abU88lvALwPt+X+mEG2ilKq69MyVyWSwbbul9cKZTKbqLBuc5X/r6+uMjY01ff29NNPzI5VK8bnPfa58M7BydUswGCQcDhMKhQgEAr6ebVs2RLKwmnEO411JOzXsROHR8x0MKr7/ZAcH2YKmQ9swjPcAa6ZpvmwYxjuq/ZlWbsa4P6EO64ZOu8n428OyLK5fv85TTz3V0C5Gd+ddLbqus7i4SH9/f9Nj22+p3dLSEsePH6/6McuyyGaz5HI5crkc2Wx2Vw/rrq4uwuEwExMT2557rZLMftzZdeXvXe44/ChtOTsb75TelrbAZvdyy5GQ4vIoXB6D2YGD7zXSyg3pvWborcy0XwR+wDCM7wN6gEHDMP7YNM0fb+GaQmyztrZGMpnkxo0bPPvss3XPjBcXF/cMbaUUW1tbLYV2JBLZM7Sz2SyWZdHVtf3brFAo8PLLL5d/v9cyOE3TWFhYYGpqihMnThAIBFheXm56zEdFqgD/bwVe3YCFlHOIgUtDMRpSTIadU2gme52Qnunz7mk0jWg6tE3T/FXgVwFKM+3/KoEt2kkpVT7FJJPJcP/+fc6cOVPX5+3X2tO9GTk5OdnU2OqZmeq6zubmJqOjo9sef/jwYd3rld1138vLy6ysrDA7O7tn2eeoe5CEl5bh5XVnCzqArilODyjOD8H5ISeggz44gaZZsiNSeFYymSzfGHM71g0NDe0KwZ1SqVRdm2da2c6+8xTxaorFItFodNt4M5lM3cv0Krkh/cYbbzQ3YB/byMLVKHxzHe4nnaDWUDwzrHjxODx1zB/HhLVLW0LbNM0vA19ux7WEcC0tLW2bUdq2ze3bt7ly5Qo9PT01P6/e46rcGnIz283X19frmu3urGk2U4uudFRn2EpB3oZcEbJFSObhehyubsBS+tG/T2/AOXz3O6c40JUfXiYzbeFJhUKBaDS663Hbtrl+/TqXL1+uWt9WSrG+vl7X19A0jUwmQzgcbmhs9bYWhUc3HHt6eojH4x3pAOhlr0fhL+85s2lV5eYhQE9AcXEY/sUIPDf6eM2qq5HQFp60trZWs/yQy+W4d+8eTz755K6PNbKpRdM0UqlUw6HtthatZzavaRqbm5uEQqGWZ9lHScGGT9+HLy89CupuXdETcEK5NwCnB52g9uNW84MkoS08x70BuVe3uPX1dQYGBnbdSKy3bAHOjDmVSjExMdHQ+CKRSEMHBGxsbKCUeiy2h9djeQv+8BYspjV0TfFvTsE7n4CABHNdJLSF5yQSiX03d7iHyobD4XIPkUZKI5VfqxFuX5FGbG5ukkgkHvtZdr4I/7ACn3kABVtjvEfxE0/BKdma1xAJbeE5e82yK7n17StXrhAMBpvq95HJZBq6Gbm1tdVUa1EvtCPtlHjOWab3DyuwZTl/z98+qfihM1KfboaEtvCUQqHQ0C4yd8fks88+y9raWlOz2Vwut+dqlEpuqaMRj8sMWyln5UciD8kCbObhtSi8GgG7tKb6VL/iX52AZ/detSn2IKEtOub+/fskk0kGBgbo7+8nHA43dX6j2wOk0bIFPLoZWW9o77cL8qhTCha24FbcmUFvlsJ5MweJglP22ElH8fyY4h1PwOmBo7ErsZMktEVHFItFlpaWysdzuV3xmpmVuh3smh1HKpXa1tgpGo2yuLjI7Ozstp7bfu7P0QqlYHELXok4s+b1bO3UDeqKwSAMdsNAEKbC8OJxGK6/bYzYh4S26IidOwpbPf6rlRLE5uYm4ITy3Nxc+abhtWvXOHHiBNPT02iaVtcuyKMgYzkhPZ+C+S14I7E9qAe6Fc+OOn09hoLb36RGffAktEVHrKyseKbWm06nWVpa2naOJDw6iDYWi3HhwoWGlhP6hWU7AX0/6bw9SMFaZvdMur9L8dwYvGkMnhw6+A55ojYJbXHoLMtqqe9HuymldgW2y20s9corr7T9MOB2sJXTmjRbhKz7vug8lsg7deZE3nnLFJ1SR1E9eh/LPWq85OrSFFN9cKIPTvQ/egtIUHuChLY4dNFo1FNlBreT3l4f79ShAFnLaejvvm1kIV4K4c1SKNuqtTSd7FXMDjjrpWcH4Imw7ED0Mgltcei8VBo5bMm806h/I+fMkhXOrFfh1JKThUdL5hL5R+ua99IbUPR2QU8AekrvewM4NwRLNwUHg9Db5cyWNUrvNefxsKSAr8g/lzhUhUKBVCrV6WEcmqzlLI+7vem8LacbmxV3aYqxHhjtgfHS+2Mh56afG8hHuXe02E1CWxyqSCTiqdLIQcgX4VrMadR/PbZ97XK3rjgzCNN9j2a97k29UODRrHig9L6/W276ie0ktI8ItyGRpmkEg8FOD6em1dXVI1kaieXgdvxRD+h8RVCfGVRcOOacqnJqALqlXixaIKHtU4VCgQcPHrC1tUUul6NQKJT7S7/lLW/ZdS6hF+RyOdLpdKeH0RaJfKnkUSp9RHZsOJkdUDw/BlfGZGOJaC/vfWeLfaVSKa5fv45lWdvKDLZtlw+CnZ2d7dwAa2h216IXbBWccL5TCuqVHWuZewKKJwfh3DGnUf9YfbvihWiYhLbPrK6ucu/evZolBvcQ2Onpabq7uw95dHtbWVnxVS27YMO1KHx9zalNVy6tC+qKs4NwvlT2mJF1zOKQSGj7hG3b3L17l0gksm9NWCnFwsICp0+fPqTR7S+TyXT0EAD3DMJ80VleB4/eF23Ilc4ndM8ovBmDlyOQLi2501GcGyqd+H0MTvXLWmbRGRLaPvH666/X3S9aKcXKygozMzOHMtu2LIutrS2SySSJRIJUKkWhUEDTNDRNQ9f1fTewNEMpJ2TTFmxZEM05m0+iWYjknC50GcvZCZi1wK5xBuFeZvoUL0zAm8ad1RxCdJqEtg9ks1mSyWRDoXdYs+319XXu3LmDruvYtr1tjG5Qt7paJFVw+mMspJy2oItbzk7AtNXYbsBuXRHSt7cGdZfchQKP3oI6HA/Dt004S/OE8BIJbR9o5gZeI7PtfD7P/Pw8Q0ND21qU7ieVSjE3N4dSquW+HCtp+NKi01GuYDt9MSwbLAXZ4t6tQMNdzq6+4ZCz+WSk4n1fd2mnYEDKGeJokND2gbW1taaPuJqfn+fMmTNVP27bNktLS8zPz6OUYm1tjVQqxalTp/a9dj6f5/XXX295Fv0gCV9YgNc2QNUoXwR1xXQfzPTBdL/zfiTkBLUEsXjcSGh7XDabJZvNNvW5SilWV1eZmZnZtuFGKUUsFuPu3btYllUOXnflSSqV4q1vfWvNGXqxWOTatWtNz66Vgptx+L8LcGvTCeouTfHWScW3Tz4K4y7NeR8KyK5AIVwS2h7X6tpmpRTXrl0jEAhQLBbLb7VqzbZtk0gkeOmll3jhhReqXu/27dvkcrmGZ/8FG765Dn+3+KgHR09A8R3H4bunnX4aQoi9SWh7XLOlEZdSikwm09TnfPWrXyUcDhMOh+nt7aWnp4dEIkE8Hm+oLJIrwt8vwleWIVlwwnowqHj7FHznlHSZE6IR8u3iYa2URtqhWCySTCZJJpPblu41EtjJPHz4OjxMOWE9HVa8c9pZQif1aCEaJ6HtYV7a9t3MCpFIFn77mnO+4GhI8aPn4KkhOY1bHC2aptHV1UV3dzf5fB7Lssp7FA6ChLaHtVoa6aT5FPzO6045ZKZP8bPPyOYUcfTouk5vby+XLl0qN2lzO24e1Pdu06FtGMYJ4I+A44ANfMQ0zQ+1a2CPu06XRlpxKw6/d8NZX31+SPEzF51TU4TwMrdLpm3bdHV1le/jRKPRqmVBXdcZGBjg4sWLBAKPTqLQNI1Q6OBaO7byrWQBv2Sa5iuGYQwALxuG8UXTNK+3aWxHXrFY5NatW1iWxYULF7Yty/NSaaQWpZyt4wtbsLQFS2nn/VrGWXP9/Jji/eelf7TwrkAggG3bHDt2jPHxcQYHBwkGg2iaxvDwMOB8Ly4tLbGwsAA4oa7rOqOjo5w7d+7AyiC1aO2awhuG8Wngf5um+UX3sVgs1vTF3b+wWCzW+uA6YL/xFwoFrl27RiaTQSlFV1cXFy9eZHBwEIBXXnml4VUfB00pWM/CXKlF6VwCYrndL1gdxXdPw3tnZX218B43ZEdHR5mYmGBoaKg8y66083u4WCyytLTE4uIik5OTzM7OHlhgDw8P17xwW0LbMIxZ4CXgkmmaiYoPebYg+/DhQ+7cucPzzz9f/sc5LKlUiq997Wu76l66rnPu3Dmmp6f58pe/3NETXizbOfV7PlXxtgWpwvbXUrhLcbIfnuhzTvGe7oPJXjm3ULSfruvlcHXLFUopuru76enpobe3l76+PkKhEGtra8TjcXRdx7IswJlVa5rG6dOnOX36tKdPeILa3c1aDm3DMPqBrwC/bprmp3Z82JOhnU6n+cpXvkKxWETXdU6dOsWFCxe21aUOSjQa5Rvf+Eb5hbRTIBCgq6uLQqFw4KEdy8GNmLM7cT7ltCfNF50WprUaMfV3O83+nxyCc0MwFZbZ9EHq6upqS28XwBNnc7rfY/U8n8rvx2PHjjExMUF/fz/BYLD81tXVVXO2WywWiUQiLC8vs7m5yezsLDMzM4fyfd4GBxPahmF0A38N/K1pmr+58+NeLI8opXjttde2nQiu6zrd3d1cuHCB/v7+uq7h/r1VvmBs2y6/9ff3UygUiEQi5HI5stksmUyGZDJ5KDNoWzltSd22pcmCc/pKquDUoW/FYTVTO211FP3dTnP/E/1wos95PxKSJXuHQdM0uru7uXz5MvF4nHQ6TSqVIp1Ob2s9UC9d1xkcHMSyLNLpdM3Pd9fjN/NDovJGnntWaTAYJBAIEAwG6enpKc9uI5EIm5ubu76WW2MeHBxkdHSUoaEhent7D71uDJ0t0e5VHmll9YgG/D5wo1pge9XKysqucwpt2yaXy3H16lX6+/vp7u4mEAjQ3d1dnvVmMhmy2Sz5fH7PF7S7PtN9q/xvXLvkinA16nTG2yo4oey+T5fe9uqM5+oJOE39LwzDk4POzsRgAEI6BOTm4YFyW9lWo2kaPT09vPjii/T09GzrAaOU4o033mjogGRd1xkaGuLixYtomkY6nWZxcZFIJFJ+jWqaRn9/P8eOHSMUCpFMJtnc3CSTyVRtu7tzvJqmcfLkSUZHR8vfP3uF3uTkJMVikXg8ztraGplMhuHhYUZGRhgYGKhaYxaOVlaPvAi8H7hqGMa3So/9mmmaf9P6sA5GNpvl/v37NV/sbt+NVhxEs39w+nbciDm9O65GoWDvHcoaip6AE8T93U6L0v5u6O+CgSCcGYTZfgnnRrRaXggEAiilGB4eZnR0lEgkUg4097qVy8h6enYfNOnWZN2ujPsFt6ZpDAwMcOHChfJsNRwOc+7cOU5vGXfLAAANGElEQVSfPk0ikSAcDhMKhbbNZsfHxwHneyKdTrOxscHq6irFYnHb19R1neHhYc6cOdNwjTgQCDA6Osro6GhDn/e4a9vqkWq8VB6pVhbxsqLtLKV7Iwn3Ek5gZypmz2cGFOePlQK5ywll9324y+kfLbXm9unq6mJ4eJiNjY2mShMjIyNVVyrkcjmWl5dZWVnBtm0mJiY4e/bstiVn1b4HlFLcvXuX9fX1PWfsAwMDPPPMM22ZuSqlSKVSrKysEIlECAaDnDt3rrziaaejvgLsgL92+8sjfrO8vLyrLNJJtnLqzJt52MyV3uedFRvrGXiQ2j2bng4r3jwBbxqDETnt+1C4O96efvppgsHgvgcr7/zccDjM+fPn6e3trfpnQqEQs7OznDx5knQ6Xdc9FXAC+ezZs9i2XfUHifu1n3766baVGtwfAgMDAzz55JPlx8ThOtKhrZQimUwSiUQaqgG2U6rgrMx4mHKOy4qWAjqR3//MwvEexZlBOD3o1JyPhw9p0IekMkya/bdxQ8MtXdT6n6N7g6uvzzk/LJfLUSgU0HV9272HneObmJjg9OnT5bFOTk7S29vL9evXa97bcG/mnT59momJibqCTdf1ugO78uu4mzs2NzcJhULlpW+hUIiRkZEDWykhYd05Ry60Lctic3NzW72wHcul6pW14HoM/jkK9xOwUWXziau/SzEYhGMhp5e0+zYSgpMDMHDwZ/IeOjf8RkdHmZqaIhAIsLW1xdbWFqlUilQqtW8nQTdM3Tps5U1fd6WOZVnkcrlyaWJ4eHjXDS63R4S7sscdRyaToVgscvbsWSYmJnZ9/cHBQS5fvsy1a9fKBxi7N+rcGu/Zs2cP5VBlN7jF48P3oW3bNslkklgsRjQaJZvNNr1kqR7uCeAF9wzD0jmGD5LwrQ24GQOrYo1zUFfM9MPJ0pK58V4nmAeDj9f2bl3XCYVCTE9PMzY2tm0GGA6Ht934evDgQbnGW0nTNAKBwLado7XUU490e0SEQiGGhoa2fcxdUVFLT08PV65cYWtrq9zhba81w0K0i69D27IsXn311fJpLK52B3bGcjagXI85NwTj+drfmBqKs4OK50bhwjGnpPG43xDUdZ3jx4/Xte3XLSuMj49z69Yt8vl8udfD0NAQ58+fL3dTO0j1hG8gENj3h4cQ7ebr0L537x6FQuFAltgpBa9uwEtLcC+5fYdgt64I6tvPMRwJwXOj8OyotCCt5Ibw8ePHG/q8/v5+rly5wvz8PMvLy5w6dYrjx4/LTFY89nwb2rFYjI2NjQMJ7PtJ+NQ9uJd0AkIvzZ6fHoanh53+Go/77Nnl9oMoFovl2m7lxy5evMixY8eavvapU6fqOh1eiMeFL0Pbsixu377d9tUg0Sx8+gG8vO4k8kC34vtOOkdjyTmGu7mz6MnJSQqFAvF4vLw9ORAIcOnSJcLhI7bkRYgO82UUzc3NtbVuvbgFX1mCb6w5NxG7NOccw385c/Sb97vlBvdGYDQaLa+EqPW/GHd52vnz58vN3oPBIBMTE0xMTFTtyyKEaA/fRdLGxgaxWKzlskhRwdUN54TwO5uPwuVN44r3nvL/5pXKpW1u/5TKg3ndjx8/fpzp6enyFmSlFOl0mnQ6zfLyMrlcrhzg7pK22dlZxsfHa4ayhLUQB8dXoZ3P57lz505DZRFbwT+uOptb0hWNleL5R72hQwHFCxPw9imYbMP/5t3lbP39/SSTyUdjabKc43YhDAaD5VnwztlwZe+KwcFBhoaGGBwcpKenp1xrTqfT5fXQwWCQqampXSsxNE2jr6+PmZkZzp8/79styEIcVb4K7WYC+0/vwD+uVZ/5jfco3v4EvDDRehnEvSE3OjrK2NgYp06dQtd1otEomUyGRCJBLBYjmUxiWVZda8l1Xaevr4+TJ08yNDTU0gzWLWn09/czOTnZ9HWEEJ3lm9De2NggkUjUXRYp2vBHt+HliEa37txQHA45TZXCpcZKI6HWVoG4ITo0NMTMzAyDg4Plx9zyg6ZphMNhwuFwedlbPp8nlUqRSCSIx+Pk8/lt11VKMTQ0xIkTJ8rbroUQAnwS2pZlMTc3V/csu2DDx27C1ahGT0DxH552TlpphlsHdrdKu5RSTE5O8sQTT1RtobmXYDDIyMgIIyMjzQ1KCPHY8kVo379/v+7VIvkifOQG3IxrhLsUP/cMnBpo7uvqul4uddi2Xd55ads2AwMDfjm2SAhxhHg+tJPJJOvr61XLIkUFa2lYSsNy6e1hyjkhfKBb8fOXnI0wzXCbEp05c0ZWQwghPMPToW3bNrdu3SqXRfJFp8/03CbcTTgHBOSqHKs1ElL87DPNtzLVdZ2pqSlOnTolgS2E8BRPh/bc3ByFQgGALy7AZx9s76AHMBpSPNHnnAruvh0PO/1AqnFr08FgkL6+PhKJxLbVHLquMzMzw4kTJw766QkhRMM8G9qpVKq089Hmbx7C5+adsJ7uU5wddG4snh102pzWw12SNzk5ycTExLbt1fl8nkQiwebmJn19fQ03NxJCiMPi2dB2TppRfPYhfH5eQ0PxgafgzeONXUfTNAYHBzlx4sS2JXmVgsEgY2NjjI2NtWn0QghxMDwb2kopPvMAvjCvoZcC+011BnZlP42ZmZma5/MJIYTfeDK0lVL83jfW+cK80xb1Jy7A83VMgt169dTUFNPT04dy3JMQQhwmT4b273x1nj9/LYquwU89BZcrAts9C7CSG9YTExOcPHlSwloIcWR5MrRfmB3iz15e4sfO2jw76jym6zoDAwMMDw+XD2J1D3AdHR3l5MmT5TahQghxVHkytN98cog/fd9ZFt64AziHuT755JOMjIzIumkhxGPNk6EN0B8KoJRiYmKC06dPH8phrkII4XWeTcInnniC0dHRAzkDUggh/KrGvsHO6+3tbfpAWCGEOKo8G9pCCCF2k9AWQggfaammbRjGu4EPAQHgo6Zp/kZbRiWEEKKqpmfahmEEgN8G/jXwNPCjhmE83a6BCSGE2K2V8si3AXOmad4zTTMPfAJ4b3uGJYQQoppWyiPTwHzF7xeAFyr/wPDwcAuXb981OknG31l+Hz/4/znI+NurlZl2ta2JsqhaCCEOUCsz7QWg8niXGWBpx5+RPedCCNFGrYT2PwHnDMM4DSwC7wP+bVtGJYQQoqqmyyOmaVrAzwN/C9wA/sI0zdfbNTAhhBC7adLbQwgh/MOTDaP8uGnHMIyPAe8B1kzTvFR6bAT4c2AWuA/8iGmasU6NcS+GYZwA/gg4DtjAR0zT/JBfnoNhGD3AS0AI53X9SdM0P1gq330CGAFeAd5fWqLqSaX9D98EFk3TfI8Px38fSAJFwDJN881+eQ0BGIZxDPgocAlnYcVPAbfw0Pg9t43dx5t2/hB4947HfgX4kmma54AvlX7vVRbwS6ZpXgTeCvxc6e/dL88hB7zTNM3ngMvAuw3DeCvwP4D/VRp/DPjpDo6xHr+IU250+W38AN9tmuZl0zTfXPq9X15D4EwWP2+a5gXgOZx/C0+N33OhjU837Zim+RIQ3fHwe4GPl379ceAHD3VQDTBNc9k0zVdKv07ivFin8clzME1TmaaZKv22u/SmgHcCnyw97tnxAxiGMQN8P85MD8MwNHw0/j344jVkGMYg8F3A7wOYppk3TTOOx8bvxdCutmlnukNjadWkaZrL4IQiMNHh8dTFMIxZ4ArwdXz0HAzDCBiG8S1gDfgicBeIl26ag/dfS78F/DJOeQpgFH+NH5wflF8wDONlwzD+fekxv7yGzgDrwB8YhvGqYRgfNQyjD4+N34uhLZt2OsgwjH7g/wD/yTTNRKfH0wjTNIumaV7G2TPwbcDFKn/Mk68lwzDc+yEvVzzsx++FF03TfB6nvPlzhmF8V6cH1IAu4Hngw6ZpXgG28GApx4uhXc+mHb9YNQxjCqD0fq3D49mTYRjdOIH9J6Zpfqr0sK+eA0Dpv7RfxqnNHzMMw73h7uXX0ovAD5Ru5H0CpyzyW/hn/ACYprlUer8G/BXOD0+/vIYWgAXTNL9e+v0ncULcU+P3YmiXN+0YhhHE2bTzmQ6PqVmfAT5Q+vUHgE93cCx7KtVPfx+4YZrmb1Z8yBfPwTCM8dKdfwzD6AW+B6cu//fAD5X+mGfHb5rmr5qmOWOa5izOa/7vTNP8MXwyfgDDMPoMwxhwfw18L3ANn7yGTNNcAeYNw3iq9NC7gOt4bPyeW/JnmqZlGIa7aScAfMwPm3YMw/gz4B3AmGEYC8AHgd8A/sIwjJ8GHgI/3LkR7utF4P3A1VJdGODX8M9zmAI+Xlp9pONs9vprwzCuA58wDOO/A69SusnkI/8N/4x/EvgrwzDAyZY/NU3z84Zh/BP+eA0B/ALwJ6UJ4z3gJym9nrwyftlcI4QQPuLF8ogQQogaJLSFEMJHJLSFEMJHJLSFEMJHJLSFEMJHJLSFEMJHJLSFEMJHJLSFEMJH/j+8G6YLMgxzIQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#hasrecent=~np.isnan(pr_year['2017']).values.flatten()\n",
    "hasrecent=np.isnan(pr_mon['2015':'2017']).sum()<5\n",
    "print hasrecent.sum()\n",
    "\n",
    "\n",
    "retiwith=[]\n",
    "retiwithout=[]\n",
    "cirange=[]\n",
    "cilow=[]\n",
    "cihigh=[]\n",
    "for i,name in enumerate(names):\n",
    "    retiwith=retiwith+[aRIwith[name]]\n",
    "    retiwithout=retiwithout+[aRIwithout[name]]\n",
    "    cirange=cirange+[aCIrange[name]]\n",
    "    cilow=cilow+[aCIlow[name]]\n",
    "    cihigh=cihigh+[aCIhigh[name]]\n",
    "    \n",
    "retiwithout=np.array(retiwithout)\n",
    "retiwith=np.array(retiwith)\n",
    "cirange=np.array(cirange)\n",
    "cilow=np.array(cilow)\n",
    "cihigh=np.array(cihigh)\n",
    "\n",
    "cilowrec=cilow[hasrecent]\n",
    "cihighrec=cihigh[hasrecent]\n",
    "retiwithoutrec=retiwithout[hasrecent]\n",
    "retiwithrec=retiwith[hasrecent]\n",
    "cirangerec=cirange[hasrecent]\n",
    "\n",
    "with open(\"./data/retint_\"+dset+\".pkl\", \"w\") as outf:\n",
    "    pickle.dump([retiwith,retiwithout, lats, lons], outf)\n",
    "\n",
    "\n",
    "with open(\"./data/retintCI_\"+dset+\".pkl\", \"w\") as outf:\n",
    "    pickle.dump([cirange, lats, lons], outf)\n",
    "\n",
    "with open(\"./data/retintrec_\"+dset+\".pkl\", \"w\") as outf:\n",
    "    pickle.dump([retiwithrec,retiwithoutrec, cihighrec, cilowrec, lats[hasrecent], lons[hasrecent]], outf)\n",
    "\n",
    "#sys.exit()\n",
    "sind=np.argsort(retiwithout)\n",
    "plt.fill_between(range(len(retiwithout)), np.log10(cilow[sind]), np.log10(cihigh[sind]), color=\"0.7\")\n",
    "plt.plot(np.log10(retiwithout[sind]))\n",
    "plt.show()\n",
    "\n",
    "plt.fill_between(range(len(retiwithoutrec)), np.log10(cilowrec), np.log10(cihighrec), color=\"0.7\")\n",
    "plt.plot(np.log10(retiwithoutrec))\n",
    "plt.show()\n",
    "\n",
    "plt.fill_between(range(len(retiwith)), cilow[sind], cihigh[sind], color=\"0.7\")\n",
    "plt.plot(retiwith[sind])\n",
    "plt.ylim(0,1000)\n",
    "#plt.plot(cirange[cirange<1000000])\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/wolski/anaconda3/envs/py2/lib/python2.7/site-packages/pandas/plotting/_converter.py:129: FutureWarning: Using an implicitly registered datetime converter for a matplotlib plotting method. The converter was registered by pandas on import. Future versions of pandas will require you to explicitly register matplotlib converters.\n",
      "\n",
      "To register the converters:\n",
      "\t>>> from pandas.plotting import register_matplotlib_converters\n",
      "\t>>> register_matplotlib_converters()\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(prf_mon['DARLING']['2010':'2018'])\n",
    "plt.plot(pr_mon['DARLING']['2010':'2018'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2374 STEENBRAS_1\n",
      "497 STEENBRAS_11\n",
      "257 STEENBRAS_111\n",
      "212 NUWEBERG\n",
      "794 RUSTFONTEIN\n",
      "41 TUSSENBEIDE\n",
      "3 BLYDSKAP\n",
      "9 ROBBEN_ISLAND\n",
      "59 WOODHEAD_DAM\n",
      "23 TABLE_MOUNTAIN_HOUSE\n",
      "7 MOLTENO\n",
      "644 STELLENBOSCH\n",
      "648 VRUGBAAR\n",
      "29 BELLEVUE\n",
      "360 MCGREGOR\n",
      "52 RHEBOKSKRAAL\n",
      "173 HOPEFIELD\n",
      "2415 DARLING\n",
      "257 PORTERVILLE\n",
      "551 REMHOOGTE\n",
      "46 BOKVELDSKLOOF\n",
      "40 JAN_DE_BOERS\n",
      "59 PIKETBERG-SAPD\n",
      "784 EENDEKUIL\n",
      "227 MIDDELDEURVLEI\n",
      "155 KROMRIVIER\n",
      "14 LAMBERTSBAAI\n",
      "20 ELANDSFONTEIN\n",
      "276 ALGERIA_-_BOS\n",
      "6 REENEN\n",
      "26 LUTZVILLE_HOTEL\n",
      "31 VANRHYNSDORP\n",
      "370 BULSHOEK_DAM\n",
      "31 SANDVLEI\n",
      "159 KANOLVLEI\n",
      "55 KREITZBERG\n",
      "64 CALVINIA_BO-DOWNES\n",
      "934 DE_HOOP\n",
      "792 NUWERUS\n",
      "1381 NIEUWOUDTVILLE_SAPD\n",
      "143 Haweqwas_Stateforest_Stettynskloof_Dam\n",
      "433 Assegaaibos_Robertsvlei\n",
      "125 Tafelberg_Newlands\n",
      "330 Thee_Waters_Kloof_Theewaterskloofdam\n",
      "1040 Vogel_Vallij_Voelvlei_Dam\n"
     ]
    }
   ],
   "source": [
    "for i,k in enumerate(np.array(pr_mon.keys())[hasrecent]):\n",
    "    print int(retiwithrec[i]), k"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure(figsize=(6,6))\n",
    "pl = fig.add_subplot(1,1,1)\n",
    "ext=[17,21,-35,-31] #extent of map\n",
    "mult=0.8\n",
    "\n",
    "\n",
    "sizes=abs(np.array(retiwithrec))*mult\n",
    "#sizes=abs(np.array(cilowrec))*mult\n",
    "\n",
    "sizes[sizes==0]=10\n",
    "cirangerec[cirangerec>1]=1\n",
    "colors=(cirangerec/2.1).astype(\"S\").flatten()\n",
    "\n",
    "edgecolors=np.repeat(\"0.3\", len(sizes))\n",
    "\n",
    "#colors=np.repeat((0,0,0,0), nstat)\n",
    "#edgecolors=np.repeat((0,0,0,0), nstat)\n",
    "#def plotmap(_lats,_lons, title, color=\"blue\", cmap=plt.cm.RdYlBu_r, msize=4):\n",
    "    \n",
    "#m=plotmap(lats, lons, \"return interval\", colors, edgecolors, msize=sizes)\n",
    "m=plotsimplemap()\n",
    "m.scatter(lons[hasrecent],lats[hasrecent],   facecolors=\"none\", edgecolors=edgecolors, alpha=0.8, latlon=True, linewidth=2, s=sizes, zorder=5)\n",
    "#m.arcgisimage(service = 'World_Shaded_Relief', xpixels = 500, verbose= False)    \n",
    "\n",
    "#m.shadedrelief()\n",
    "#x,y=m(lons[hasrecent],lats[hasrecent])\n",
    "#for i in range(len(lats)):\n",
    "#    plt.text(x[i]+0.03,y[i],names[i][0:10], fontsize=10)\n",
    "\n",
    "ls=np.array([50,100,1000])*mult\n",
    "l1 = plt.scatter([-10],[-10], s=ls[0], color=\"none\", edgecolors='0.3')\n",
    "l2 = plt.scatter([-10],[-10], s=ls[1], color=\"none\", edgecolors='0.3')\n",
    "l3 = plt.scatter([-10],[-10], s=ls[2], color=\"none\", edgecolors='0.3')\n",
    "\n",
    "labels = (ls.astype(\"int\")/mult).astype(\"int\").astype(\"S12\")\n",
    "leg = plt.legend([l1, l2, l3], labels, ncol=4, frameon=False, fontsize=11,\n",
    "                 handlelength=0, loc = (0,0), borderpad = 1,\n",
    "                 handletextpad=1, title='return period [years]', scatterpoints = 1)\n",
    "tit=leg.get_title()\n",
    "tit.set_fontsize(14)\n",
    "\n",
    "#plt.title(\"3-year \"+season+\" anomaly\\n only stations with 2015-2017 data\", y=1.0)\n",
    "plt.title(\"3-year anomaly\\n only stations with 2015-2017 data\", y=1.0)\n",
    "#fig.savefig(\"../figures_attribution/map_reti_\"+season+\"_\"+suffix+\".jpg\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SIMONSTOWN                                False\n",
       "RONDEVLEI                                 False\n",
       "STEENBRAS_1                                True\n",
       "STEENBRAS_11                               True\n",
       "STEENBRAS_111                              True\n",
       "BETTY_S_BAY_HEROLD_PORTER                 False\n",
       "NUWEBERG                                   True\n",
       "RUSTFONTEIN                                True\n",
       "TUSSENBEIDE                                True\n",
       "BOONTJIESKRAAL                            False\n",
       "GREYTON                                   False\n",
       "BLYDSKAP                                   True\n",
       "ROBBEN_ISLAND                              True\n",
       "WOODHEAD_DAM                               True\n",
       "TABLE_MOUNTAIN_HOUSE                       True\n",
       "MOLTENO                                    True\n",
       "GROOTE_SCHUUR                             False\n",
       "ALTYDGEDACHT                              False\n",
       "STELLENBOSCH                               True\n",
       "VRUGBAAR                                   True\n",
       "STETTYNSKLOOF                             False\n",
       "BELLEVUE                                   True\n",
       "KWAGGASKLOOFDAM                           False\n",
       "MCGREGOR                                   True\n",
       "RHEBOKSKRAAL                               True\n",
       "ASHTON                                    False\n",
       "HOPEFIELD                                  True\n",
       "DARLING                                    True\n",
       "MOORREESBURG                              False\n",
       "PORTERVILLE                                True\n",
       "                                          ...  \n",
       "DE_DOORNS                                 False\n",
       "TOUWSRIVIER                               False\n",
       "JAN_DE_BOERS                               True\n",
       "PIKETBERG-SAPD                             True\n",
       "EENDEKUIL                                  True\n",
       "MIDDELDEURVLEI                             True\n",
       "KROMRIVIER                                 True\n",
       "LAMBERTSBAAI                               True\n",
       "ELANDSFONTEIN                              True\n",
       "ALGERIA_-_BOS                              True\n",
       "REENEN                                     True\n",
       "LUTZVILLE_HOTEL                            True\n",
       "VANRHYNSDORP                               True\n",
       "BULSHOEK_DAM                               True\n",
       "SANDVLEI                                   True\n",
       "KANOLVLEI                                  True\n",
       "KREITZBERG                                 True\n",
       "VONDELINGSFONTEIN                         False\n",
       "CALVINIA_BO-DOWNES                         True\n",
       "DE_HOOP                                    True\n",
       "DROEKLOOF                                 False\n",
       "NUWERUS                                    True\n",
       "NIEUWOUDTVILLE_SAPD                        True\n",
       "CALVINIA_BLINKKLIP                        False\n",
       "Haweqwas_Stateforest_Stettynskloof_Dam     True\n",
       "Assegaaibos_Robertsvlei                    True\n",
       "Roode_Els_Berg_Roode_Els_Berg_Dam         False\n",
       "Tafelberg_Newlands                         True\n",
       "Thee_Waters_Kloof_Theewaterskloofdam       True\n",
       "Vogel_Vallij_Voelvlei_Dam                  True\n",
       "Length: 64, dtype: bool"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hasrecent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(-0.24922433155467671, 0.09874506510479736)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "trendanomcorr=pearsonr(retiwithrec,trendspd.values[:,0][hasrecent])\n",
    "print(trendanomcorr)\n",
    "\n",
    "fig=plt.figure(figsize=(7,4))\n",
    "pl = fig.add_subplot(1, 1, 1)\n",
    "pl.plot(retiwithrec,trendspd.values[:,0][hasrecent], \"o\")\n",
    "pl.set_xlabel(\"2015-2017 anomaly [%]\")\n",
    "pl.set_ylabel(\"1981-2014 trend [%/year]\")\n",
    "pl.text(0.8,0.9,\"corr=\"+str(np.round(trendanomcorr[0],2)), transform=pl.transAxes)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure(figsize=(6,6))\n",
    "pl = fig.add_subplot(1,1,1)\n",
    "ext=[17,21,-35,-31] #extent of map\n",
    "mult=1\n",
    "\n",
    "\n",
    "sizes=abs(np.array(retiwith))*mult\n",
    "#sizes=abs(np.array(cilowrec))*mult\n",
    "\n",
    "sizes[sizes==0]=10\n",
    "cirangerec[cirangerec>1]=1\n",
    "colors=(cirangerec/2.1).astype(\"S\").flatten()\n",
    "\n",
    "edgecolors=np.repeat(\"0.3\", len(sizes))\n",
    "\n",
    "#colors=np.repeat((0,0,0,0), nstat)\n",
    "#edgecolors=np.repeat((0,0,0,0), nstat)\n",
    "#def plotmap(_lats,_lons, title, color=\"blue\", cmap=plt.cm.RdYlBu_r, msize=4):\n",
    "    \n",
    "#m=plotmap(lats, lons, \"return interval\", colors, edgecolors, msize=sizes)\n",
    "m=plotsimplemap()\n",
    "m.scatter(lons,lats,   facecolors=\"none\", edgecolors=colors, alpha=0.8, latlon=True, linewidth=2, s=sizes, zorder=5)\n",
    "#m.arcgisimage(service = 'World_Shaded_Relief', xpixels = 500, verbose= False)    \n",
    "\n",
    "#m.shadedrelief()\n",
    "x,y=m(lons,lats)\n",
    "#for i in range(len(lats)):\n",
    "#    plt.text(x[i]+0.03,y[i],names[i][0:10], fontsize=10)\n",
    "\n",
    "ls=np.array([50,100,1000])*mult\n",
    "l1 = plt.scatter([-10],[-10], s=ls[0], color=\"none\", edgecolors='0.3')\n",
    "l2 = plt.scatter([-10],[-10], s=ls[1], color=\"none\", edgecolors='0.3')\n",
    "l3 = plt.scatter([-10],[-10], s=ls[2], color=\"none\", edgecolors='0.3')\n",
    "\n",
    "labels = (ls.astype(\"int\")/mult).astype(\"int\").astype(\"S12\")\n",
    "leg = plt.legend([l1, l2, l3], labels, ncol=4, frameon=False, fontsize=11,\n",
    "                 handlelength=0, loc = (0,0), borderpad = 1,\n",
    "                 handletextpad=1, title='return period [years]', scatterpoints = 1)\n",
    "tit=leg.get_title()\n",
    "tit.set_fontsize(14)\n",
    "\n",
    "#plt.title(\"3-year \"+season+\" anomaly\\n only stations with 2015-2017 data\", y=1.0)\n",
    "plt.title(\"3-year anomaly\\n only stations with 2015-2017 data\", y=1.0)\n",
    "#fig.savefig(\"../figures_attribution/map_reti_\"+season+\"_\"+suffix+\".jpg\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 216x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.608906694093079 3360.210059366586 60.21382815423957\n",
      "47.13882048986296 4106.545737799655 446.1982851142366\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 216x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure(figsize=(3,5))\n",
    "pl = fig.add_subplot(1,1,1)\n",
    "xmin,xmax,ymin,ymax=18.9,19.4,-34.1,-33.1\n",
    "xmin,xmax,ymin,ymax=18.8,19.4,-34.25,-33.1\n",
    "\n",
    "sel=(lats>ymin) & (lats<ymax)\n",
    "sel=sel & (lons>xmin) & (lons<xmax)\n",
    "selrec=sel[hasrecent]\n",
    "pl.boxplot([retiwithrec[~selrec], retiwithrec[selrec]])\n",
    "nin=np.sum(selrec)\n",
    "nout=np.sum(~selrec)\n",
    "pl.set_xticklabels([\"elsewhere \\nn=\"+str(nout), \"WCWSS \\nn=\"+str(nin)])\n",
    "pl.set_title(\"Only stations with 2015-2017 coverage\")\n",
    "pl.set_ylabel(\"return period [years]\")\n",
    "plt.show()\n",
    "\n",
    "print min(retiwithrec[~selrec]), max(retiwithrec[~selrec]), np.median(retiwithrec[~selrec]) \n",
    "print min(retiwithrec[selrec]), max(retiwithrec[selrec]), np.median(retiwithrec[selrec])\n",
    "\n",
    "fig=plt.figure(figsize=(3,5))\n",
    "pl = fig.add_subplot(1,1,1)\n",
    "sel=(lats>ymin) & (lats<ymax)\n",
    "sel=sel & (lons>xmin) & (lons<xmax)\n",
    "selrec=sel\n",
    "pl.boxplot([retiwith[~selrec], retiwith[selrec]])\n",
    "nin=np.sum(selrec)\n",
    "nout=np.sum(~selrec)\n",
    "pl.set_xticklabels([\"elsewhere \\nn=\"+str(nout), \"WCWSS \\nn=\"+str(nin)])\n",
    "pl.set_title(\"all stations\")\n",
    "pl.set_ylabel(\"return period [years]\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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