Last active
January 1, 2016 13:39
-
-
Save emiliom/8152810 to your computer and use it in GitHub Desktop.
#GlobalNEWS #Rivers #WBMSedNEWS
Extract and plot WBMSedNEWS model output monthly timeseries, compare to instantaneous USGS station data. Use the matchup between USGS station ID's (sta_num) and fraction-specific WBMsed sequential ID's to extract model output (from ascii files, now hosted and read directly from a web folder) for a selected USGS st…
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
{ | |
"metadata": { | |
"name": "" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"# Extract and plot WBMSedNEWS model output monthly timeseries, compare to instantaneous USGS station data\n", | |
"Use the matchup between USGS station ID's (sta\\_num) and fraction-specific WBMsed sequential ID's to extract model output (from ascii files, now hosted and read directly from a web folder) for a selected USGS station. Transform data into useful _pandas_ data structures with datetime for further manipulation and exploration. At the end of this notebook, USGS observed data are pulled out from John's spreadsheet, a general assessment is made (for POC), then model-data comparisons are made for a few stations, again for POC only.\n", | |
"\n", | |
"__WBMSedNEWS__ merges [WBMSed](http://csdms.colorado.edu/wiki/Model:WBMsed) and the particulate sub-models of [Global NEWS 2](http://www.marine.rutgers.edu/globalnews/).\n", | |
"Emilio Mayorga, 1/5/2014" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"import os\n", | |
"import datetime as dt\n", | |
"import dateutil.parser as dtuparser\n", | |
"import cStringIO\n", | |
"import csv\n", | |
"import urllib2\n", | |
"import numpy as np\n", | |
"import pandas as pd" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 1 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# My local base path holding the model-observations matchup table and observations\n", | |
"LOCAL_BASEPTH = \"/home/mayorga/Desktop/RiverBGC_Links/NEWSparticulatesForSagy/ModelOutputValidation\"\n", | |
"# Base URL for USGS-WQN model output files\n", | |
"MODELOUTPUT_BASEURL = \"http://csdms.colorado.edu/pub/users/kettner/WBMSed_NEWS/WBMsed-output-USGS_WQN_database\"\n", | |
"# Local path for model output files\n", | |
"#WBMsedoutput_pth = os.path.join(BASEPTH, \"201311/WBMsed-output\")" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 2 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"### Setup for reading and parsing model output files" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# A helpful dictionary for constructing file names and plot labels, for each fraction\n", | |
"DAT_DCT = {'Qs': {'ylabel': '[TSS], mg/L', 'filesuffix': 'Conc', \n", | |
" 'wbmsedidlbl': 'wbmsedid_tss', 'datacolidx':[0,11,-2,-1], 'code':'tss'},\n", | |
" 'POCarbon': {'ylabel': '[POC], mg C/L', 'filesuffix': 'Concentration', \n", | |
" 'wbmsedidlbl': 'wbmsedid_poc', 'datacolidx':[0,11,-4,-1], 'code':'poc'},\n", | |
" 'PNitrogen': {'ylabel': '[PN], mg N/L', 'filesuffix': 'Concentration', \n", | |
" 'wbmsedidlbl': 'wbmsedid_pn', 'datacolidx':[0,11,-4,-1], 'code':'pn'},\n", | |
" 'PPhosphorus': {'ylabel': '[PP], mg P/L', 'filesuffix': 'Concentration', \n", | |
" 'wbmsedidlbl': 'wbmsedid_pp', 'datacolidx':[0,11,-4,-1], 'code':'pp'},\n", | |
" # Added 12/1/2013\n", | |
" 'SedimentFlux': {'ylabel': 'Qs, kg/yr?', 'filesuffix': '', \n", | |
" 'wbmsedidlbl': None, 'datacolidx':None, 'code':None},\n", | |
" 'discharge': {'ylabel': 'Q, km3/yr?', 'filesuffix': '', \n", | |
" 'wbmsedidlbl': None, 'datacolidx':None, 'code':None},\n", | |
" }" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 3 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# Generic function for reading and structuring model output time series\n", | |
"def get_modeloutput_ts(site, fraction):\n", | |
" \"\"\" Generic function for reading and structuring model output time series.\n", | |
" Returns a Pandas DataFrame (and datetime and data numpy arrays)\n", | |
" with the selected fraction (SS, POC, PN, PP) as variables, \n", | |
" and datetime as index variable.\n", | |
" \"\"\"\n", | |
" prefix = \"%d_%s\" % (site, fraction)\n", | |
" datfile = prefix + DAT_DCT[fraction]['filesuffix'] + '.txt'\n", | |
" \n", | |
" #datfile_pth = os.path.join(WBMsedoutput_pth, datfile)\n", | |
" #lines = [line for line in csv.reader(open(datfile_pth), delimiter=',')]\n", | |
" datfile_url = os.path.join(MODELOUTPUT_BASEURL, datfile)\n", | |
" datfile = urllib2.urlopen(datfile_url).read()\n", | |
" lines = [line for line in csv.reader(cStringIO.StringIO(datfile), delimiter=',')]\n", | |
" \n", | |
" tsdat = []\n", | |
" for yrdat in lines:\n", | |
" \tyr = int(yrdat[0])\n", | |
" \tfor mo,modat in enumerate(yrdat[1:]):\n", | |
" \t\tif modat == 'nan': # deal with 'nan' (currently in Qs only?)\n", | |
" \t\t modat = None\n", | |
" \t\telse:\n", | |
" \t\t modat = float(modat)\n", | |
" \t\ttsdat.append((dt.datetime(yr, mo+1, 15), modat))\n", | |
" \t\t# >>> Change to mid-month day, based on actual month length\n", | |
" \n", | |
" ts = np.array([tsdat_i[0] for tsdat_i in tsdat])\n", | |
" dat = np.array([tsdat_i[1] for tsdat_i in tsdat], dtype=np.float64)\n", | |
" \n", | |
" # replacement of 'nan' string with real nan can be done in pandas like this:\n", | |
" #datadf.replace('nan', np.nan)\n", | |
" datadf = pd.DataFrame({'dt': ts, fraction: dat}, columns=['dt',fraction])\n", | |
" datadf.set_index('dt', inplace=True)\n", | |
" datadf['dt_mo'] = datadf.index.month # create variable holding the month number\n", | |
" \n", | |
" return datadf, ts, dat" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 4 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"### Read a pre-processed table matching Station USGS ID's and metadata to WBMsed ID's\n", | |
"WBMsed ID's are sequential integers unique to each variable (poc, pn, discharge, etc). Currently (12/27) I have not linked the __discharge__ WBMsed ID to the USGS ID." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"usgssta_wbmsedid_df = pd.read_csv(os.path.join(LOCAL_BASEPTH, 'usgs_wbmsedid_alljoin.csv'), \n", | |
" dtype={'sta_num': 'str'}, delimiter='\\t')\n", | |
"usgssta_wbmsedid_df.set_index('sta_num', drop=False, inplace=True)" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 5 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# drain_area is in km2, and lat & lon in decimal degrees\n", | |
"usgssta_wbmsedid_df.head(5)" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"html": [ | |
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n", | |
"<table border=\"1\" class=\"dataframe\">\n", | |
" <thead>\n", | |
" <tr style=\"text-align: right;\">\n", | |
" <th></th>\n", | |
" <th>sta_num</th>\n", | |
" <th>wbmsedid_pn</th>\n", | |
" <th>wbmsedid_poc</th>\n", | |
" <th>wbmsedid_pp</th>\n", | |
" <th>wbmsedid_tss</th>\n", | |
" <th>sta_name</th>\n", | |
" <th>drain_area</th>\n", | |
" <th>lat_dd</th>\n", | |
" <th>lon_dd</th>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>sta_num</th>\n", | |
" <th></th>\n", | |
" <th></th>\n", | |
" <th></th>\n", | |
" <th></th>\n", | |
" <th></th>\n", | |
" <th></th>\n", | |
" <th></th>\n", | |
" <th></th>\n", | |
" <th></th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" <tr>\n", | |
" <th>01034500</th>\n", | |
" <td> 01034500</td>\n", | |
" <td> NaN</td>\n", | |
" <td> NaN</td>\n", | |
" <td> 238</td>\n", | |
" <td> 242</td>\n", | |
" <td> PENOBSCOT RIVER AT WEST ENFIELD, ME</td>\n", | |
" <td> 16632.91578</td>\n", | |
" <td> 45.236667</td>\n", | |
" <td>-68.648889</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>01036390</th>\n", | |
" <td> 01036390</td>\n", | |
" <td> 194</td>\n", | |
" <td> NaN</td>\n", | |
" <td> 220</td>\n", | |
" <td> 223</td>\n", | |
" <td> PENOBSCOT RIVER AT EDDINGTON, ME</td>\n", | |
" <td> 19463.77485</td>\n", | |
" <td> 44.828056</td>\n", | |
" <td>-68.696667</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>01049265</th>\n", | |
" <td> 01049265</td>\n", | |
" <td> NaN</td>\n", | |
" <td> NaN</td>\n", | |
" <td> 261</td>\n", | |
" <td> 265</td>\n", | |
" <td> KENNEBEC RIVER AT NORTH SIDNEY, ME</td>\n", | |
" <td> 13993.71597</td>\n", | |
" <td> 44.473611</td>\n", | |
" <td>-69.685556</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>01096550</th>\n", | |
" <td> 01096550</td>\n", | |
" <td> 273</td>\n", | |
" <td> 116</td>\n", | |
" <td> 307</td>\n", | |
" <td> 312</td>\n", | |
" <td> MERRIMACK RIVER ABOVE LOWELL, MA</td>\n", | |
" <td> 10100.96100</td>\n", | |
" <td> 42.638889</td>\n", | |
" <td>-71.371389</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>01154500</th>\n", | |
" <td> 01154500</td>\n", | |
" <td> 229</td>\n", | |
" <td> NaN</td>\n", | |
" <td> 259</td>\n", | |
" <td> 263</td>\n", | |
" <td> CONNECTICUT RIVER AT NORTH WALPOLE, NH</td>\n", | |
" <td> 14226.81507</td>\n", | |
" <td> 43.126111</td>\n", | |
" <td>-72.437222</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"</div>" | |
], | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 6, | |
"text": [ | |
" sta_num wbmsedid_pn wbmsedid_poc wbmsedid_pp wbmsedid_tss \\\n", | |
"sta_num \n", | |
"01034500 01034500 NaN NaN 238 242 \n", | |
"01036390 01036390 194 NaN 220 223 \n", | |
"01049265 01049265 NaN NaN 261 265 \n", | |
"01096550 01096550 273 116 307 312 \n", | |
"01154500 01154500 229 NaN 259 263 \n", | |
"\n", | |
" sta_name drain_area lat_dd \\\n", | |
"sta_num \n", | |
"01034500 PENOBSCOT RIVER AT WEST ENFIELD, ME 16632.91578 45.236667 \n", | |
"01036390 PENOBSCOT RIVER AT EDDINGTON, ME 19463.77485 44.828056 \n", | |
"01049265 KENNEBEC RIVER AT NORTH SIDNEY, ME 13993.71597 44.473611 \n", | |
"01096550 MERRIMACK RIVER ABOVE LOWELL, MA 10100.96100 42.638889 \n", | |
"01154500 CONNECTICUT RIVER AT NORTH WALPOLE, NH 14226.81507 43.126111 \n", | |
"\n", | |
" lon_dd \n", | |
"sta_num \n", | |
"01034500 -68.648889 \n", | |
"01036390 -68.696667 \n", | |
"01049265 -69.685556 \n", | |
"01096550 -71.371389 \n", | |
"01154500 -72.437222 " | |
] | |
} | |
], | |
"prompt_number": 6 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# For a selected USGS Station ID (sta_num), extract all corresponding info (the pandas row)\n", | |
"sta_num = '01540500'\n", | |
"sta_sel = usgssta_wbmsedid_df.ix[sta_num]\n", | |
"sta_sel" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 7, | |
"text": [ | |
"sta_num 01540500\n", | |
"wbmsedid_pn 155\n", | |
"wbmsedid_poc 74\n", | |
"wbmsedid_pp 177\n", | |
"wbmsedid_tss 179\n", | |
"sta_name SUSQUEHANNA RIVER AT DANVILLE, PA\n", | |
"drain_area 29059.69\n", | |
"lat_dd 40.95806\n", | |
"lon_dd -76.61944\n", | |
"Name: 01540500, dtype: object" | |
] | |
} | |
], | |
"prompt_number": 7 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# Alternatively, could use usgssta_wbmsedid_df.wbmsedid_poc.ix[sta_num]\n", | |
"# Returns numpy.float64; convert to int\n", | |
"# (but note that if it were NaN, the conversion would result in an error)\n", | |
"# THIS BLOCK AND THE ONE ABOVE COULD BE TURNED INTO A FUNCTION THAT\n", | |
"# TAKES A USGS STA NUM AND RETURNS WBMsedID's for each variable, checking for NaN's\n", | |
"wbmsedid_poc = int(sta_sel.ix['wbmsedid_poc'])\n", | |
"wbmsedid_pn = int(sta_sel.ix['wbmsedid_pn'])\n", | |
"# etc; Not actually used below, so shown here only for illustration" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 8 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"### Model output data extraction and plotting\n", | |
"Extract model output for all fractions (eg, variable __POC__), for the selected USGS sta num. Plot a panel of time series for all the fractions." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# convenience functions\n", | |
"def get_model_fraction(fraction, usgs_sta_num):\n", | |
" datylabel = DAT_DCT[fraction]['ylabel']\n", | |
" wbmsedidlbl = DAT_DCT[fraction]['wbmsedidlbl']\n", | |
" wbmsedid = usgssta_wbmsedid_df[wbmsedidlbl].ix[usgs_sta_num]\n", | |
" datadf = get_modeloutput_ts(wbmsedid, fraction)[0]\n", | |
" return datylabel, datadf\n", | |
"\n", | |
"def make_fraction_subplot(fig, subplotnbr, fraction, usgs_sta_num):\n", | |
" datylabel, datadf = get_model_fraction(fraction, usgs_sta_num)\n", | |
" ax = fig.add_subplot(subplotnbr)\n", | |
" ax.plot(datadf.index, datadf[fraction])\n", | |
" ax.set_ylabel(datylabel)\n", | |
" return ax, datadf" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 9 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"#### Note that there's clearly something wrong either with the model or with the ID/site matching. _TSS concentrations are lower than POC or PN concentrations! That's physically wrong, of course!_" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"fig = figure(figsize=(15,6), dpi=100)\n", | |
"ax1, tss_df = make_fraction_subplot(fig, 221, 'Qs', sta_num)\n", | |
"ax2, poc_df = make_fraction_subplot(fig, 222, 'POCarbon', sta_num)\n", | |
"ax3, pn_df = make_fraction_subplot(fig, 223, 'PNitrogen', sta_num)\n", | |
"ax4, pp_df = make_fraction_subplot(fig, 224, 'PPhosphorus', sta_num)\n", | |
"\n", | |
"print '\\n TSS, POC, PN and PP concentration time series'\n", | |
"sta_name = usgssta_wbmsedid_df.sta_name.ix[sta_num]\n", | |
"drain_area = usgssta_wbmsedid_df.drain_area.ix[sta_num]\n", | |
"print ' USGS Station %s (%s); Drainage area: %.0f km2' % (sta_num, sta_name, drain_area)" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
" TSS, POC, PN and PP concentration time series\n", | |
" USGS Station 01540500 (SUSQUEHANNA RIVER AT DANVILLE, PA); Drainage area: 29060 km2\n" | |
] | |
}, | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": "iVBORw0KGgoAAAANSUhEUgAAA3sAAAFtCAYAAAC+3XNMAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0x490d5d0>" | |
] | |
} | |
], | |
"prompt_number": 10 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"### Read the USGS observed data and make some comparisons to model output" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# Access the multi-sheet Excel file with USGS observations (note that it's 15MB)\n", | |
"xls_file = pd.ExcelFile(os.path.join(LOCAL_BASEPTH, 'TSS_POC_PN_PP_USGS_WQN_Sites.xlsx'))\n", | |
"xls_file.sheet_names" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 11, | |
"text": [ | |
"[u'TSS_USGS_WQN', u'POC_USGS_WQN', u'PN_USGS_WQN', u'PP_USGS_WQN']" | |
] | |
} | |
], | |
"prompt_number": 11 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# For now I'll stick to POC\n", | |
"fraction = 'POCarbon'\n", | |
"poc_sheet_name = '%s_USGS_WQN' % DAT_DCT[fraction]['code'].upper()" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 12 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# Read the POC Excel sheet, keeping only the columns of interested (pre-defined in DAT_DCT)\n", | |
"df = xls_file.parse(poc_sheet_name)\n", | |
"colnames_sel = list(df.columns[DAT_DCT[fraction]['datacolidx']])\n", | |
"df = df[colnames_sel]" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 13 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"df" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"html": [ | |
"<pre>\n", | |
"<class 'pandas.core.frame.DataFrame'>\n", | |
"Int64Index: 1194 entries, 0 to 1193\n", | |
"Data columns (total 4 columns):\n", | |
"STA_NUM 1194 non-null values\n", | |
"SAMP_DATE 1194 non-null values\n", | |
"INSTFLOW_V(CFS) 1194 non-null values\n", | |
"POC_(mg_C/L) 1194 non-null values\n", | |
"dtypes: float64(3), int64(1)\n", | |
"</pre>" | |
], | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 14, | |
"text": [ | |
"<class 'pandas.core.frame.DataFrame'>\n", | |
"Int64Index: 1194 entries, 0 to 1193\n", | |
"Data columns (total 4 columns):\n", | |
"STA_NUM 1194 non-null values\n", | |
"SAMP_DATE 1194 non-null values\n", | |
"INSTFLOW_V(CFS) 1194 non-null values\n", | |
"POC_(mg_C/L) 1194 non-null values\n", | |
"dtypes: float64(3), int64(1)" | |
] | |
} | |
], | |
"prompt_number": 14 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# Parse/transform the sta_num and date columns, to make them more consistent and robust\n", | |
"# SAMP_DATE is imported as a float64, not an int (or a string)\n", | |
"stanumstr = lambda sn: \"%08d\" % sn\n", | |
"df['sta_num'] = df.STA_NUM.map(stanumstr)\n", | |
"parse_date = lambda dtsf: dtuparser.parse(str(int(dtsf)))\n", | |
"df['dt_day'] = df.SAMP_DATE.map(parse_date)" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 15 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# Rename columns to cleaner and more generic names.\n", | |
"# Then keep only columns that will be used later\n", | |
"df.rename(columns={'INSTFLOW_V(CFS)':'discharge_cfs', 'POC_(mg_C/L)':'particult_conc_mgl'},\n", | |
" inplace=True)\n", | |
"df = df[['sta_num', 'dt_day', 'discharge_cfs', 'particult_conc_mgl']]\n", | |
"df" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"html": [ | |
"<pre>\n", | |
"<class 'pandas.core.frame.DataFrame'>\n", | |
"Int64Index: 1194 entries, 0 to 1193\n", | |
"Data columns (total 4 columns):\n", | |
"sta_num 1194 non-null values\n", | |
"dt_day 1194 non-null values\n", | |
"discharge_cfs 1194 non-null values\n", | |
"particult_conc_mgl 1194 non-null values\n", | |
"dtypes: datetime64[ns](1), float64(2), object(1)\n", | |
"</pre>" | |
], | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 16, | |
"text": [ | |
"<class 'pandas.core.frame.DataFrame'>\n", | |
"Int64Index: 1194 entries, 0 to 1193\n", | |
"Data columns (total 4 columns):\n", | |
"sta_num 1194 non-null values\n", | |
"dt_day 1194 non-null values\n", | |
"discharge_cfs 1194 non-null values\n", | |
"particult_conc_mgl 1194 non-null values\n", | |
"dtypes: datetime64[ns](1), float64(2), object(1)" | |
] | |
} | |
], | |
"prompt_number": 16 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Build a dictionary, `obsdat`, with the usgs sta\\_num as the key, the particulate fraction (eg, 'poc') as \"sub key\", and the data for that fraction alone as a cleaned data frame: _sta_num > fraction > data frame (date as index, discharge_cfs and particult_conc_mgl)_" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"obsdat = {}\n", | |
"for sta_num in list(usgssta_wbmsedid_df.sta_num):\n", | |
" # process only if sta_num is in df.STA_NUM\n", | |
" if df.sta_num.isin([sta_num]).any():\n", | |
" dfsta = df[df.sta_num==sta_num]\n", | |
" del dfsta['sta_num']\n", | |
" dfsta.set_index('dt_day', inplace=True)\n", | |
" dfsta.sort_index(inplace=True)\n", | |
" obsdat.update({sta_num:{'poc': dfsta}})" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 17 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# First let's look at histograms of the length of each time series (as counts, and as # of years)\n", | |
"obslen = [len(v['poc']) for v in obsdat.values()]\n", | |
"obsyrlen = [1 + v['poc'].index.max().year - v['poc'].index.min().year \n", | |
" for v in obsdat.values()]" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 18 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"fig = figure(figsize=(14,4))\n", | |
"dummy = hist(obslen, 75)" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": "iVBORw0KGgoAAAANSUhEUgAAAzAAAAD9CAYAAABjlpLsAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n0vj/QHFJltt7itIAAAAASUVORK5CYII=\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0x3e1fa10>" | |
] | |
} | |
], | |
"prompt_number": 19 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"fig = figure(figsize=(14,4))\n", | |
"dummy = hist(obsyrlen, bins=17)" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": "iVBORw0KGgoAAAANSUhEUgAAAzAAAAD9CAYAAABjlpLsAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0xbf7b110>" | |
] | |
} | |
], | |
"prompt_number": 20 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"__Now a few plots comparing models and observations!__" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# Same site I plotted model output for. See how many observations it has\n", | |
"sta_num = '01540500'\n", | |
"dfsta = obsdat[sta_num]['poc']\n", | |
"len(dfsta), dfsta.index.min(), dfsta.index.max()" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 21, | |
"text": [ | |
"(1,\n", | |
" Timestamp('1977-12-08 00:00:00', tz=None),\n", | |
" Timestamp('1977-12-08 00:00:00', tz=None))" | |
] | |
} | |
], | |
"prompt_number": 21 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# OK, bad case -- just one observation!! We'll try one that has \"many\" observations\n", | |
"sta_num_obsdatge5 = [(sta_num,len(v['poc']), dfsta.index.min().year, dfsta.index.max().year)\n", | |
" for sta_num, v in obsdat.items() if len(v['poc']) >= 5]\n", | |
"sta_num_obsdatge5" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 22, | |
"text": [ | |
"[('06438000', 12, 1977, 1977),\n", | |
" ('09474000', 6, 1977, 1977),\n", | |
" ('02105769', 7, 1977, 1977),\n", | |
" ('02035000', 44, 1977, 1977),\n", | |
" ('08407500', 26, 1977, 1977),\n", | |
" ('08313000', 27, 1977, 1977),\n", | |
" ('01570500', 7, 1977, 1977),\n", | |
" ('01646580', 43, 1977, 1977),\n", | |
" ('07288800', 6, 1977, 1977),\n", | |
" ('09466500', 6, 1977, 1977),\n", | |
" ('15024800', 9, 1977, 1977),\n", | |
" ('05463050', 18, 1977, 1977),\n", | |
" ('01578310', 75, 1977, 1977),\n", | |
" ('01184000', 20, 1977, 1977),\n", | |
" ('11303500', 11, 1977, 1977),\n", | |
" ('03215000', 15, 1977, 1977),\n", | |
" ('07221500', 14, 1977, 1977),\n", | |
" ('06439300', 31, 1977, 1977),\n", | |
" ('02226160', 5, 1977, 1977),\n", | |
" ('09306900', 48, 1977, 1977),\n", | |
" ('07227140', 23, 1977, 1977),\n", | |
" ('02358000', 19, 1977, 1977),\n", | |
" ('08358400', 26, 1977, 1977),\n", | |
" ('02449000', 6, 1977, 1977),\n", | |
" ('09368000', 30, 1977, 1977)]" | |
] | |
} | |
], | |
"prompt_number": 22 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# A convenience function\n", | |
"def plot_model_data_comparison(sta_num, fraction):\n", | |
" dfsta = obsdat[sta_num][DAT_DCT[fraction]['code']]\n", | |
" fig = figure(figsize=(15,3), dpi=100)\n", | |
" datylabel, datadf = get_model_fraction(fraction, sta_num)\n", | |
" plot(datadf.index, datadf[fraction])\n", | |
" plot(dfsta.index, dfsta.particult_conc_mgl, 'or')\n", | |
" # Set the x axis to go from the start of the first data year to the end of last data year\n", | |
" xlim(dt.datetime(dfsta.index.min().year, 1, 1), dt.datetime(dfsta.index.max().year, 12, 31))\n", | |
" ylabel(datylabel)\n", | |
" sta_name = usgssta_wbmsedid_df.sta_name.ix[sta_num]\n", | |
" drain_area = usgssta_wbmsedid_df.drain_area.ix[sta_num]\n", | |
" title('USGS Station %s (%s); Drainage area: %.0f km2' % (sta_num, sta_name, drain_area))" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 23 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Finally, comparisons for a few stations that have lots of data. Note that there are some negative concentration values in the USGS data! That's apparently b/c particulate concentration is calculated, not measured, as the difference between measured total and dissolved observations; the methods don't always yield consistent results." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# The y axes are not identical across plots\n", | |
"for sta_num in ['01578310', '01646580', '02035000', '09306900', '09368000']:\n", | |
" plot_model_data_comparison(sta_num, fraction)" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": "iVBORw0KGgoAAAANSUhEUgAAA3kAAADQCAYAAAC6C6huAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzsnXdYVEf7979LUVBAmtJEQexdMcYONjBqLK+xEAvWJMaS\nxFQFFWtiYsxPUWMSG8ZYn9ixYCxgS9TELjZEqTZYEOmw9/vHuMfdZRcWpHt/rutcsKdMOTNn5i5T\nZEREYBiGYRiGYRiGYSoFBmWdAIZhGIZhGIZhGKb4YCWPYRiGYRiGYRimEsFKHsMwDMMwDMMwTCWC\nlTyGYRiGYRiGYZhKBCt5DMMwDMMwDMMwlQhW8hiGYRiGYRiGYSoRrOQxTCVk8uTJWLhwYVkno9Jy\n5MgRDB48uKyTwTCMHmRmZqJJkyZ49uxZWScFffv2xe+//17WyWBek40bN6Jr165lnQyGyRdW8phK\nj4GBAe7fv692LiAgAKNHj5Z+L168GPXq1YO5uTmcnZ0xYsQItfuPHj2K7t27w8LCAra2tmjTpg2+\n//57ZGZmAgCSkpIwfvx4ODg4wMLCAo0aNcKSJUt0pmndunVo0qQJLCwsYG9vj379+uHFixcAgLFj\nx2L27Nl6509bZ/Pzzz/D399f7zAKw08//QQHBwfUqFEDEyZMQFZWlnRt5cqVaNeuHUxMTDBu3Di1\n5x48eAADAwOYm5tLx6JFi6Tr77zzjtq1qlWromXLltL1GzduwNPTE5aWlnB2dlZTYk+cOIGWLVvC\nysoK1tbW8PLyws2bN6XrO3bsQKdOnVC9enV07949T54uX74Md3d3VK9eHe3atcOVK1fyfQd+fn6Y\nOXOm9Hvv3r1o3bo1atSogZo1a6Jnz5548OABAO3lqXwXCoUCAHD69Gl06tQJlpaWsLGxQZcuXXDx\n4kXp/piYGIwcORK2trYwMzPD22+/jeDgYJ3hKVGNe+PGjTA0NFR7xxYWFnj06BEAwMXFBceOHVN7\nXpcg4+npCWtra7WyV8ZnYGCACxcuSOfu3bsHAwMDtWdNTU0RExMjnfvrr7/g6uqqdzza7jM1NYW5\nuTlsbW0xcOBAtfB1ERAQAAMDA5w/fx4A8Mcff0jvplq1amr11cLCQmsYRIQVK1agRYsWMDMzg7Oz\nM4YNG4br169L95w9exY9evSAhYUFLC0tMWDAAISHh0vXT548CQMDA0yZMkUt7C5duiAoKEj6XVA9\n+PDDD/Hxxx9Lv7Ozs1G9enWt586fP5+n3uhTfkDB7SEA3Lx5EwMGDIClpSUsLCzQo0cPnDt3Lp/S\nUEdZNitWrFA7v3z5chgYGGDevHlq705ZTs7Ozhg+fLja91O1alWMHz8e3333XaHiNzY2hoWFhdSm\nT5s2TfpeisrBgwfV+h5GncWLF6u1UdWqVYOhoSESExMBCIV9/PjxqFGjBhwcHPDTTz+pPf/BBx+g\ncePGMDQ0VPt2lCxYsADOzs6wtLRE9+7d1fqJ8PBw9OjRA5aWlmjQoAH27NlTspl9yQ8//IAWLVrA\nwsIC9erVw9KlS0slXqbyw0oe80Yik8kgk8kAAEFBQdi8eTOOHTuGlJQUXLx4Eb169ZLu3blzJ4YO\nHYpRo0YhKioKz549w/bt2xETEyMJkp999hnS0tJw69YtPH/+HPv27UP9+vW1xh0aGgo/Pz9s27YN\nz58/R3h4eB6lsrxy5MgRLFmyBMePH8fDhw9x//59zJ07V7ru5OSE2bNnY/z48TrDeP78OVJSUpCS\nkgI/Pz/p/KFDh6TzKSkp6NSpE4YNGyZdHz16NLp27Qq5XI7Q0FCsXr0a+/fvBwA0a9YMhw4dglwu\nx+PHj9GmTRu1NNjY2GDGjBn45ptv8qQnKysLAwcOxJgxY5CUlARfX18MHDgQ2dnZWtN/4cIFPH/+\nHO3btwcghGBfX1/89NNPSE5ORmRkJKZMmQJDQ0MA6nVN1/vo378/PvnkE8jlcsTGxmLu3LmoWrUq\nACAxMRFdunSBiYkJbt68iYSEBHz22Wd4//338eeff+oMV1vcnTt3VnvHz58/h729vV7pVPLgwQOc\nP38etWrVwr59+/Jct7a2LtDAUL16dSxYsOC14lFFJpNh1apVSElJQUREBDIyMjBjxox8nyEibNq0\nCS1atMCmTZsAACNHjpTezaFDh+Dk5KT2rrTxySefYMWKFQgMDIRcLsedO3cwaNAgSfk6d+4cvL29\nMXjwYMTHxyMyMhKtWrVC586dERkZqfZONm/ejIcPH6rlS1km+tQDDw8PhIWFSc9fvHgRdevWxalT\np9TOyWQyuLu7a81PQeWXX3sYHR0NAIiIiEDnzp3RqlUrPHjwAPHx8Rg8eDC8vLzw999/6y4UFWQy\nGRo2bCiVjZKgoCA0atRIra6qltPff/+Nxo0bo2vXrjh+/Lh0j4+PD4KCgnR+19ri9/HxwfPnzyGX\ny7F79248evQI7u7uOhW9nJwcvcKuyJR0HmfNmqXWRn399dfo3r07rK2tAQjlOyIiAlFRUThx4gS+\n//57HDlyRHq+devWWL16Ndq2bZunPdu3bx/WrFmDU6dOITExER07dpQU7pycHAwcOBADBgyAXC7H\nr7/+ilGjRuHu3bslml8lv//+O5KSknD48GGsXLkS27dvL5V4mUoOMUwlRyaTUUREhNq5uXPn0qhR\no4iIaMqUKfTpp59qfVahUFDt2rVp2bJl+cbRvHlz2rNnj17p+eGHH2jQoEFar/3yyy9kbGxMVapU\nITMzMxowYAAREX377bfk5uZG5ubm1LRpU9q9ezcREd28eZNMTEzI0NCQzMzMyMrKioiIfH19yd/f\nXwr3119/pfr165O1tTUNGDCA4uLipGsymYzWrFlDDRo0IEtLS5oyZYrOtPv4+JCfn5/0+/jx42Rv\nb5/nPn9/fxo7dqzaucjISJLJZJSTk1PQK6LIyEgyNDSkhw8fSueqVq1K4eHh0u+hQ4fSd999l+fZ\njIwM+uabb7S+499++408PT3Vzh05coScnJzUztWpU4cOHz6sNW3z5s2jSZMmSb937txJrVu31pmX\nsWPHqpWFMn8ymYxyc3PpwoULZGlpqfN5f39/atGiRZ7zS5Ysobp16+YJTzPu2bNnExHRhg0bqEuX\nLjrjcXFxoWPHjqmd27hxY55n5s2bR++++y4tXLiQ+vfvnye+GTNmkL29PYWGhhIR0d27d0kmk0n3\neHp60rx588jc3Fz6Lo8ePUouLi56x6OJp6cnrVu3Tvq9atUqatq0ab7PhIaGko2NDZ04cYJsbGwo\nKytL7fqJEyeodu3a+YZx584dMjQ0pAsXLui8p0uXLlq/qXfeeYfGjBmjFtf06dNp3Lhxas8GBQUR\nkX71ICoqigwMDCghIYGIiL7//nuaN28eubq60rNnz6T7e/fuTUR5601B5advezhq1Cjq169fnvOT\nJ0+mbt265fuskoCAABo1ahQ1adKEbty4QURE169fp6ZNm9KoUaMoICCAiHSX09SpU6ldu3Zq5xo0\naCDl6+HDh2RpaUnR0dFa41ftI5Tk5uZSq1at6IsvvpDidnJyoiVLlpC9vT2NGTOG5HI59evXj2rW\nrElWVlbUv39/iomJkcLw8PCgtWvXEpH4Jjt37kxffPEFWVlZkaurKx06dEi6d/369dSkSRMyNzen\nevXq0S+//KKWniVLlpCDgwM5OTnRb7/9ptbXZWRk0Oeff0516tQhOzs7+uijjyg9PV1rXu/du0fd\nu3cnGxsbsrW1pZEjR1JSUpJ0vW7durRkyRJq0aIFmZiYUG5uLp07d446duxIlpaW1KpVKzp58qTe\n6dYXhUJBrq6utGnTJumco6MjHT16VPo9Z84cGjFiRJ5nVb8dJYsXL6Zhw4ZJv69fv04mJiZERHTt\n2jUyMzNTu9/Ly0tqPzXRbE+/+OIL6tKlCyUnJ9OGDRuoU6dO9Nlnn5GlpSW5ubnRmTNnaP369eTs\n7Ey1atXKkzZVpk+fTtOmTdN5nWH0hT15zBtPx44dsWnTJixduhQXL15Ebm6udO327duIjY3FkCFD\n8g2jQ4cO8PPzw8aNGwu0/HXo0AFHjhxBQEAAzpw5ozbE6YMPPsDIkSPx9ddfIyUlBXv37gUA1K9f\nH6dPn8bz588xd+5cjBo1Co8fP0aTJk2wZs0adOzYESkpKdKQFlUPwPHjxzFr1izs3LkT8fHxqFu3\nbh7PYXBwMC5evIirV69ix44dapZRVW7evIlWrVpJv1u2bInHjx9DLper3UdEOvNft25dODs7Y/z4\n8UhISNB6z6ZNm9CtWzfUqVNHOufl5YWgoCDk5OTg1q1bOHfunJrHNSoqClZWVqhWrRqCg4Oxbt06\nnWlQ5caNG2rDQgGgVatWuHHjhtb7r1+/jkaNGkm/3d3dcevWLcyYMQMnT56Uht3qS8OGDWFoaIix\nY8fi8OHDed7l0aNHtda/oUOHIioqCvfu3StUfPmhWW7aynHTpk0YPnw4hg0bhiNHjuDJkydq16tV\nq4ZZs2apeWk1cXJywqRJk9S8wIWNR1faExISsGvXLrz99tv53h8UFITBgwdLQz2VXuHCcOzYMTg7\nO6Ndu3Zar6elpeHcuXMYOnRonmvDhg3D0aNH1c7NmjULf/75J+7cuZPn/oLqwd27d+Hs7KzmuQsL\nC0PXrl3RqVMntXPdunXTmaf8yk/f9vCvv/7SmuehQ4fmafMKYvTo0ZI3LygoSO+hjoMHD8Z///2H\n9PR06VyTJk2kodh16tSBXC5H7dq19U6LgYEBBg4cqOYZVbZ/UVFR+OWXX6BQKDBhwgRERUUhKioK\npqammDp1qnS/psf8/PnzaNy4MRISEvDVV19hwoQJ0jU7OzsEBwfj+fPn2LBhAz777DNcunQJAHD4\n8GH89NNPOHbsGO7evYuTJ0+qpfWbb77BvXv3cOXKFdy7dw+xsbGYP3++zrz5+fkhPj4e4eHhiI6O\nRkBAgNr1bdu24dChQ0hKSkJ8fDz69++POXPmQC6XY+nSpRgyZIjUnueXbgCwsrLC2bNnC3zfp06d\nwtOnT6X6JpfLER8fn6cP0tVWa9KzZ0+cO3cOd+/eRXZ2NoKCgvDOO+/ovF+hUKgNu9YGEWHSpEm4\nfv06jh49Kg3rPn/+PFq1aoXExET4+Phg2LBh+O+//xAREYHNmzdj6tSpSEtL0xpeWFgYmjdvrlee\nGCY/WMlj3nhGjhyJwMBAHDlyBJ6enrCzs8P3338PANJEfeWQNgAYMWIErKyspOFVABAYGIiRI0di\n5cqVaNasGRo0aIDDhw9rja9Lly7YtWsX/vvvP/Tv3x+2trb4/PPP1eZTaQrX7733npSGYcOGoUGD\nBvjnn3+03qvJH3/8gQkTJqB169aoUqUKvv32W5w7dw5RUVHSPd988w0sLCzg7OyM7t274/Lly1rD\nevHiBWrUqCH9VnZoKSkpavdpG/ZXs2ZNXLx4EVFRUfj333+RkpKCkSNHao1n06ZNGDt2rNq5n376\nCdu3b4epqSmaNm2KiRMnqg05Uwptz549Q6tWrfLMCdSFZp6U+dLMk5KkpCSYm5tLv11dXXHy5EnE\nxsZi2LBhqFmzJsaNG4fU1FS94rewsMDp06chk8kwadIk1KpVCwMHDpSUmoSEBDg4OOR5TnmuMItJ\n/P3337CyspKOBg0aSNeICIMGDVK7PmXKFLWyPH36NGJjYzFgwAA0aNAATZs2xZYtW9TikMlk+PDD\nDxEVFaXzG5DJZJg5cyb279+vNiemMPGoQkSYPn06LC0tUbNmTbx48QKrVq3SeX9aWhr+97//SYrI\nkCFD8gwL1IeEhAS1tkGTxMREKBQKreVnb2+fp+zs7Ozw0UcfYc6cOVrj0qceeHh4IDQ0FESE8+fP\no2PHjujatSvCwsJARDh79iw8PDx0pjm/8iuoPfzjjz+k+3SlVaFQSMao/FC2a6NGjcLWrVuRk5OD\n7du3Y9SoUQU+CwCOjo4gIiQlJUnnzM3N1X4XBQcHB7X0K+cHGhsbw8TEBNbW1hg8eDBMTExgZmaG\nWbNmITQ0VGd4devWxYQJEyCTyTBmzBjEx8dL337fvn2luardunWDl5eXpGDu2LED48ePR5MmTWBq\nairNUQTEu/vtt9+wbNkyWFpawszMDDNnzsS2bdu0psHNzQ09e/aEsbExbG1t8dlnn6mlWSaTYfr0\n6XByckLVqlWxefNm9O3bF3369AEA9OrVC+3atZOGKOeXbkAoa506dSrwXQcFBWHo0KGoVq0aAEgG\nNM0+SFdbrUn79u3h6+uLRo0aoVq1avjzzz+xbNkyAECjRo1Qq1Yt/PDDD8jOzkZISAjCwsLUjASa\nZGdnY8SIEUhKSsL+/fthYmIiXXN1dYWvry9kMhmGDRuGuLg4zJkzB8bGxujduzeqVKmi1UCnVK71\n7b8YJj9YyWMqPYaGhnnmYWRnZ8PY2Fj6/f777+Po0aNITk7GmjVrMHv2bISEhMDGxgYAEB8fL927\nbds2yOVytG3bVlLMTExMMHPmTFy8eBEJCQkYNmwYhg4dmscro6RPnz7Yt28f5HI59u7di40bN2Lt\n2rU687Bp0ya0adNGEr6vX7+u0wumidJ7p6R69eqwsbFBbGysdE5VaKtWrZpOb5SZmZna3KTk5GQA\nUFN6AO2KZ/Xq1dG2bVsYGBigVq1aWLlyJUJCQvIoQ6dPn8bjx4/x3nvvSefS0tLQo0cPzJ8/H5mZ\nmYiOjsbhw4fx888/54nHysoKS5cuxf79+3XOo1LF3Nw8z33Jyck6F9qwsrLKc//bb7+N7du348mT\nJzh16hTCwsKkRWWMjIy01j8DAwNpQYvGjRtjw4YNiI6OxvXr1xEXF4dPP/0UAGBra4u4uLg86VDW\nSTs7OxgZGUnhasajWs87dOgAuVwuHapeZ5lMhr1796pdX716tVpZBgUFwcvLSyrvoUOHal3coEqV\nKpg9ezZmz56tc56fra0tpk6dijlz5uS5R994VNMeGBiIpKQkXL16FQ8fPsTBgwd13r97924YGxuj\nZ8+eUviHDh0q9OqLNjY2am2DJlZWVjAwMNB6T3x8PGxtbfOc/+qrr3DkyBFcvXpV7XxB9UAZVrdu\n3RAWFoZr166hXr16MDExQefOnaVz6enpBXo5dZVfQe2hchREfmk1MDCAlZVVvvErkclkcHZ2Rv36\n9TFz5kw0bNhQ8rwVNH80NjYWMpkMlpaW0rmUlBS9484vXOV7AITxqkqVKtLvtLQ0fPjhh3BxcUGN\nGjXg4eGB5ORkncY4zbYXeKXMHDp0CB06dICNjQ2srKxw8OBBqd2Pj4+Hs7Oz9KyqR/Lp06dIS0uD\nu7u71Ge88847Ouv348ePMWLECNSuXRs1atTA6NGj8/QvqnE9fPgQO3fuVDMInTlzRpqrmF+69UVp\niPH19ZXOmZmZAUCePkiz/9HFypUrcezYMcTExCAzMxNz5sxBjx49kJ6eDmNjY+zZswfBwcHSgi7D\nhg3L19N779497N+/H3PmzJHaYCV2dnbS/6ampgBEXVE9p9nPrly5Eps3b0ZwcLBau80wRYWVPKbS\nU6dOHbUFDgAgMjISLi4uee41NDTEe++9Jw0Bady4MZycnApc4EIVc3NzzJw5E6mpqdIKi/nRo0cP\n9OjRQxpyoim8PHz4EB988AFWrVqFxMREyOVyNG/eXBIaChJ2HB0d1dKRmpqKhIQEODk56Z0nJc2a\nNVPz8l25cgV2dnZ5BCd9FvBQorkiZFBQEIYMGSIJPIAYUpmSkoJRo0bBwMAATk5OGD58uE5BXqlE\nKRcvyS9dzZo1yyNQX716Fc2aNdMadsuWLbUOp1PSrl07DB48WCrPOnXq5KkHkZGRakKTKo0aNYKv\nr680TKhXr17YtWtXHiFxx44dqF+/PlxdXeHg4ABjY+M89fz+/ftqCn5hUY0zPT0dO3bswPHjx+Hg\n4AAHBwf8+OOPuHLlitr7Uz4zduxYJCUl5fvtfPnllzhx4gT+/fffQsejK63NmzfHggUL8M033+Sp\nW0qCgoKQkpKC2rVrw8HBAUOGDEF2dna+3kJt9OzZEzExMWrpV6V69ero2LEjduzYkefajh071IYb\nK7GxscGnn36aZ/GT/OpBnTp1JK9s165dceXKFQQHB0srozZr1gzR0dEIDg5G+/bt1ZQSTfIrv0aN\nGunVHvbq1Qs7d+7UmudOnTqpeTzyQ5mWMWPGYNmyZRgzZoxezwFCkXd3d5cEbECsnqg61C8/tLUV\nCoUC+/fvV1txVvO+H3/8EXfu3MH58+eRnJwseVULGnGhSWZmJoYMGYKvvvoKT548gVwuR9++faVw\nHBwcpIVuAKj9b2trC1NTU9y8eVMy2CQlJek0es2aNQuGhoa4fv06kpOT8fvvv+f5dlTzWadOHYwe\nPVrNIJSSkoKvvvqqwHTry+7du2FjY6PmdbaysoKDg0OePkjfoY2HDx+Gj48PHB0dYWBgAF9fX8jl\ncmml2xYtWuDkyZN49uwZDh06hIiICGmBLW00adIE69evxzvvvJNvn6AP69evx/fff49jx47B0dHx\ntcJiGCWs5DGVnuHDh2PhwoWIjY2FQqHAX3/9hQMHDkieoqCgIBw8eBApKSlQKBQ4dOgQbty4gbff\nfhsymQw//vgj5s2bh7Vr10Iul4OIcPfuXTx+/FiKY8GCBbh48SKysrKQkZGB5cuXw8rKSm3ulpJ9\n+/Zh+/btUljnz59HaGgoOnToAEBYAFW3fEhNTYVMJoOtrS0UCgU2bNigNk/Azs4OMTExal4cVaHC\nx8cHGzZswJUrV5CZmYlZs2ahQ4cOavPdVMmvMx4zZgzWrVuH8PBwyOVyLFiwQG1YSW5uLjIyMpCT\nk4Pc3FxkZmZK1v3z58/j9u3bUCgUSEhIwPTp09G9e3c1K2x6ejp27tyZZ6hm/fr1kZWVha1bt0Kh\nUODRo0fYvn27JLDt2rULd+7cgUKhwNOnTzFjxgz07dtXUvIUCgUyMjKQnZ0NhUKBzMxM6X15enrC\n0NAQK1asQGZmJlasWAEDAwP06NFD6zvo27ev2lCmM2fOYO3atXj69CkA4NatW9i/f79UnkOGDEFw\ncDCOHj2K3NxcxMXFYeHChfDx8QEg5jktW7ZM8qxGR0dj69at6NixIwCxcmtycjImTJiAx48fIyMj\nA1u3bsXixYulpbYNDQ0xZMgQ+Pn5ITExEdnZ2di6dStu3bqV75yTwrBnzx4YGRkhPDwcV65cwZUr\nVxAeHo6uXbtKQx1V646RkRHmzZundSsR5X01atTA559/jiVLlkhCpD7xFISvry/S0tK0KhqxsbE4\nfvw4goODpfCvXLmCr7/+utBDNhs0aICPP/4YPj4+CA0Nlb7/bdu2Sfn+7rvvEBQUhMDAQKSkpEAu\nl8Pf3x///POPzjmJM2bMwLlz5xAeHi69q/zqwQ8//CA9W79+fdSqVQvLly+X5t7JZDK8/fbbaue0\nUVD5GRgY6NUezp07F2fPnoW/v7+kAAQGBuL3339XC8/FxUWvdz58+HAcPXpUGl6rS2kiIsTGxmLe\nvHlYt24dFi9eLF2LjY1FYmKi9F0qt49QHbau613k5OQgPDwcPj4+ePLkSb4rt7548QKmpqaoUaMG\nEhMT1YZRFoasrCxkZWXB1tYWBgYGOHToEEJCQqTrw4YNw4YNG3Dr1i2kpaWprVZrYGCASZMm4dNP\nP5XapdjYWLXnNdNcvXp1WFhYIDY2Vq0+aWPUqFHYv38/QkJCpDZfOWS9oHTrS1BQkFalfsyYMVi4\ncCGSkpIQHh6OtWvXqvUX2dnZyMjIgEKhkL5HZVm2bNkSO3bswJMnT6BQKPD7778jJydHWgn72rVr\nyMjIQFpaGpYuXYrHjx/n6Ys0GTFiBBYvXoxevXrl2apJX/744w/4+fkhJCREq/GZYYpMiSznwjDl\niPT0dPryyy/JxcWFatSoQe7u7rR//37p+q5du6hz585kZWVFFhYW1LJlyzwrXx0+fJg8PDzIzMyM\nbGxsqE2bNrR06VJKS0sjIqKFCxdS8+bNycLCgqytral79+507tw5rekJCwujnj17kq2tLZmbm1PD\nhg3phx9+kK7fvXuXWrduTZaWljR48GAiIvLz8yNra2uytbWlGTNmqK0mmJWVRf369SNra2uqWbMm\nEamvqkhEtGbNGnJzcyNra2t69913KTY2VrpmYGCgtvqo5rOaLFu2jOzs7MjCwoLGjx+vtirh3Llz\nSSaTqR3z5s0jIqKtW7eSq6srVa9enRwcHMjX15ceP36sFvaWLVvyrLKo5ODBg9SmTRuysLAge3t7\n+uCDD6TV4gIDA6Wwa9euTR988AElJiZKz27YsCFPulRXMbx06RK5u7uTqakpubu70+XLl3Xmn4jo\nrbfeon/++YeIxApt7777LtnZ2ZGZmRm5uLjQN998o7aK6P79+8nd3Z1q1KhBdevWpa+++ooyMjKI\niCg2NpaGDRtGTk5OVL16dXJycqKPPvqIUlJSpOejoqLIx8eHrK2tycjIiIyNjdVW4SMiksvlNHHi\nRHJyciIrKyvq0qULnT17Vrq+ceNGaRVW1ePixYtEpHt1za5duxIRUZ8+faRVBVXZsWMHOTg4UE5O\nTp66o1AoqHnz5mRgYCCd01wJ88WLF1SrVi1ydXXVKx7NFUS1hUkkVh5s27Ztnnu//fbbPKsuEhHF\nxcVRlSpVpJUcT5w4Qc7Oznnu08by5cupWbNmVK1aNXJycqIRI0bQzZs3peunT58mT09PMjMzIwsL\nC+rfv78Uj664vv/+ezIwMFBri1TrQfXq1al9+/a0b9++POnx8fEhQ0NDtW9AGV5ISIh0LjIykgwM\nDNRW1yyo/Ih0t4epqanSPdevX6f+/fuThYUFmZmZUffu3enMmTPS9czMTDI3N6fbt29rfacBAQE0\nevRorddGjRoltSsnTpwgAwMDMjMzo+rVq5OjoyMNHTpU+j5V8//5559Lv8PCwsjV1VXnar8BAQFk\nbGwshdugQQOaMmWK2srE2sotLi5OKutGjRrRL7/8ovaOVeuq6velRLU9XrVqFdnZ2ZGlpSWNHj2a\nfHx81MpDhxTUAAAgAElEQVTn22+/JXt7e3JycqKff/6ZZDKZtJJnRkYGzZo1i+rVq0cWFhbUpEkT\nCgwM1JrXGzdukLu7O5mZmVGbNm3oxx9/VMuXtrbhn3/+IQ8PD6nf6d+/v7RSaUHpNjMzo9OnT2tN\nCxFRTEwMGRsb51kVm0jUm/Hjx5OFhQXZ2dnRTz/9pHbdw8ODZDIZGRgYSG29ckXV1NRUmjBhgtR/\nubu705EjR6Rnv/zyS7KysiIzMzPq27ev1viVaJbdb7/9RnXr1qUHDx7kuXb37t0831Dt2rWl78HV\n1VVaUVt5TJ48WWfcDKMvMqJC+tAZhmHecI4ePYrVq1dj9+7dpR53SkoKOnfujN69e+PHH38s9fgZ\npjg4c+YMVq9eLS3WUpJkZmaidevWOHXqlDR3cdGiRahVqxYmTZpU4vGXBuHh4WjRogWysrLybF7P\nMMybSZkpeePHj0dwcDBq1aqFa9euARArkQ0fPhwPHz6Ei4sLduzYoTZpmmEYhgFiYmKwfv16TJo0\nSesqhgzDVH52796Nvn37Ii0tDb6+vjAyMsKuXbvKOlkMw5QTyszcM27cuDzLM3/33Xfo3bs37ty5\ng549e+K7774ro9QxDMOUX2rXro05c+awgscwbzC//vor7OzsUL9+fRgbG2tdbZhhmDeXMh2u+eDB\nA7z77ruSJ69x48YIDQ2FnZ0dHj16BE9PT9y6dUvtmcKs2scwDMMwDMMwDFMZyU+NK1cDtx8/fizt\nLWJnZ6e2Wpcq9HJlrcpyzJ07t8zTwPl5c/JTGfPE+Sn/R2XLE+en/B+VLU+cn/J/VLY8cX7K91EQ\n5UrJU0Umk7HXjmEYhmEYhmEYppCUKyVPOUwTAOLj41GrVq0yThHDMAzDMAzDMEzFolwpeQMGDEBQ\nUBAAsRHmoEGDyjhFpYOnp2dZJ6FY4fyUfypbnjg/5Z/KlifOT/mnsuWJ81P+qWx54vxUbMps4RUf\nHx+Ehobi2bNnsLOzw/z58zFw4EAMGzYMUVFROrdQkMlkeo1DZRiGYRiGYRiGqYwUpBNVuM3QWcmr\nuIQFByNkxQoYZWYip2pVeE2fjm79+pV1shiGYRiGYRimQlGQTmRUimlh3mDCgoNx5JNPsCgiQjrn\n9/J/VvQYhmEYhmEYpvgoV3PymMpLyIoVagoeACyKiMDRwMAyShHDMAzDMAzDVE5YyWNKnLDgYERf\nuKD1mmFGRimnhmEYhmEYhmEqN6zkMSWKcpims1yu9XquiUkpp4hhGIZhGIZhKjes5DElinKYphcA\nP41rs9zc0HvatLJIFsMwDMMwDMNUWnjhFaZEMcrMBAB0e/l7NgBDALetrDB5+XJedIVhGIZhGIZh\nihlW8pgSJadqVen/blBR9tq3ZwWPYRiGYRiGYUoAHq7JlChe06fDz81N7RwP02QYhmEYhmGYkoM3\nQ2dKnLDgYBwNDIRhRgZyTUzQe9o09uIxDMMwDMMwTBEpSCdiJY9hGIZhGIZhGKYCUZBOxMM1GYZh\nGIZhGIZhKhGs5DEMwzAMwzAMw1QiWMljGIZhGIZhGIapRLCSxzAMwzAMwzAMU4lgJY9hGIZhGIZh\nGKYSwUoewzAMwzAMwzBMJYKVPIZhGIZhGIZhmEoEK3kMwzAMwzAMwzCVCFbyGIZhGIZhGIZhKhGs\n5DEMwzAMwzAMw1QiWMljGIZhGIZhGIapRLCSxzAMwzAMwzAMU4lgJY9hGIZhGIZhGKYSwUoewzAM\nwzAMwzBMJcKorBOgDRcXF1hYWMDQ0BDGxsY4f/58WSeJYRiGYRiGYRimQlAulTyZTIaTJ0/C2tq6\nWMMNCw5GyIoVMMrMRE7VqvCaPh3d+vUr1jgYhmEYhmEYhmHKknKp5AEAERVreGHBwTjyySdYFBEh\nnfN7+T8regzDMAzDMAzDVBbKpZInk8nQq1cvGBoa4sMPP8SkSZPUrgcEBEj/e3p6wtPTs8AwQ1as\nUFPwAGBRRARmBwaykscwDMMwDMMwTLnl5MmTOHnypN73y6i4XWbFQHx8PBwcHPD06VP07t0bgYGB\n6Nq1KwChABYlyQGenggIDc173sMDAYV4YQzDMAzDMAzDMGVJQTpRuVxd08HBAQBQs2ZNDB48uFgW\nXsmpWlXr+VwTk9cOm9GPsOBg+Ht7I8DTE/7e3ggLDi7rJDEMwzAMwzBMpaPcDddMS0tDbm4uzM3N\nkZqaipCQEMydO/e1w/WaPh1+ERFqQzZnubmhz7Rprx02UzA8J5JhGIZhGIZhSodyN1wzMjISgwcP\nBgDk5ORg5MiRmDlzpnS9qMM1AaFoHA0MhGFGBnJNTNB72jRWMEoJf29vLAwJyXN+trc3Fhw+XAYp\nYhiGYRiGYZiKSUE6Ubnz5Lm6uuLy5cslEna3fv1YqSsjjDIztZ43zMgo5ZQwDMMwDMMwTOWmXM7J\nYyofPCeSYRiGYRiGYUoHVvKYUsFr+nT4ubmpnZvl5obePCeSYRiGYRiGYYqVcjcnryBeZ05eRSYs\nOBghK1bAKDMTOVWrwmv69Aoz9FSZ9qexsUh69AiOjo4wc3TkOZEMwzAMwzAMUwQq3Jw8Ji8VeWVK\nrWm3tGQFj2EYhmEYppJw7x5w4QJw5Qpw+TJw9SrQsSPwyy+ArW1Zp65wxMUBCxYAzs7AxIlArVrF\nF3ZpOm0q9HDNS5dEpcrOVj9PBMTGAkePAufOATrW/KgwhKxYoaYkAcCiiAgcDQwsoxTpj2rawwD4\nAzCOiMAqX1/eJ48pdTIygFu3xPHgAfD4MfD8OaBQlHXKGIZh3gzu3AHOnAFevCjrlDDFARHw449C\nofvzT8DMDJg6VZRxvXpA69ZCHq8I5OQAy5cDrVoBFhbA/ftAo0bA6NHAP/+IvL4OSsfHwpAQBISG\nYmFICI588kmJycMV1pN35Ajw/vuiEOLigNq1ATc3IDUVuHkTMDYGmjUDkpJEg9KypaiAPXoAffsC\nBhVIva3IK1Mq0x4GYA+AZcoLCQmYMXEisHYte/QqEPv3A598Ari4AO++CwwYIL678srTp8DSpcKi\nePu2aCucncX3n5EBpKeLvwoF0KKF6IxatxZtRcuWZZ36N4OMDCA8HLC0BKytAXPzitU+M0xZk5Eh\nDNqdOwNVqpR1avLnzz+Bjz4SfciNG0J2a91aCNVNmgCNG4s+pWpVICtLeITOnAHOnxdttK8v4ORU\n1rlglOTmAp9+Cpw4Afz7L1Cnjvr1H34AvL2BsWOBESOARYtE2ZZHTp8WyqmNDXDqFPAkQnjcpjTL\nxIPzVTFywHTYN+iH5csBd/eixaHLaTM7MLBEZOEKqeRlZgLTpgGbNgH9+omG4MED4dWrVk0odzVr\nvrr/xQvhQj53Dpg7Vxzffgv07g3IZGWWDb1RrkwZBiAEotByAJy9nIKhQ4EhQ4Dhw8tnXpRp3w5g\nlca1ZY8eYcqcORVWycvOFhafa9dEvateXfzV/L9OHdH5VmSePxcN+cmTwK+/CuVo3z5gyRLRIA4Y\nII727QFDw7JOrWDvXiFMvPce8PHHwhrn6ioMQJokJwtF8PJlIUwsWgQ0bw4sXAi0bVv6adcXIuCv\nv4Ri1KFDWaemcBABu3cDX3whOv30dCAxEUhLE4p4jx6ije7ZU709rwwQlc/2WhfPnglDSM2aFSvd\nxcW5c8DMmUBMjGhHGjYUf1u2BN5+u+zavMREYPVqYOVKMRwuKQmYMQOYNEm0CeUJItFfrFoljPRt\n2wqvye3bYlTW1avAxo3i98OHgKMj8OSJUPg6dQJ69Xql6HXsCIwfLwyN5V2prQzk5gLx8eKvkxNg\n9FJzSEsTzpbnz4WCZGmp/flevUTfOnGiUOa//BIYORIoD4urEwkv47ffApGRwOLFgI8PcOqglqlG\nbhGQuQP9+vXD4MFCTrC2Llx8pe20qZALryxeTDh3TgiZhYVIWJL8/ERl/fZb0UgXRFkufBIWHIy1\nYybCOfERFqmc/9jSHrXGr8Xe4/1gZiYUjvImkCpd0zEREQjSct3XygpBiYmlnq7X5fJlYNw4wN5e\nKNhpaa+O1FT13+fPi04qMFB3I1ieOXFC5NXbW3jFVIUHhUIYUPbvF9/j48fC8PLee8A775SNQJic\nLLyNp04JoaFr18KHkZkJrF0rGvGOHYH584XxqDxx4wbw2WdAVJSoZ23big6qadOyTlnBXLkijAbP\nngH/939CkVOSnQ3cvQscOyY639BQoH59IRiUB2PWs2dC2H/27NVhbi4MOW5u6ulLSAAOHxZ5iYsT\nQuvjx8LD3KMHsGED4OBQdnkpiKQkUafWrhWKTEqKUMDr1BEK+EcfVcw2TROlN9nVVT0/t28Ds2aJ\nNnz+fNEW3L796rhwQZTx8OFC2HV3L536+eiRKJfNm4FBg4ShpGlToSwtWSLqm6+vKCcTE3GYmor2\nOi1NGFTS0gA7O+Fd0Wb4Kk6yskRduXxZ9BUFeeKysoTA7eAgRmupkpoqZLh168Q9K1aId1DRePoU\n2LFDlI2ZmTAMW1gIebQsPV0KhVDYdux4Na0hOloYcw0NRftlbw/UrSuMDO7uon3QR9kmAo4fF0M7\nL10CpkwBJk8WYZcmROK7PXFCfC/p6cA336h/C/7e3lgYEpLn2dne3pix9TBmzwZ27gTmzRPfmqmp\nfnHnF+6Cw4cLlY/79wE3twIWo6QKBgCysSGKiHi9cLKziX79lcjJiah3b6KQECKFQvu9oQcO0Cw3\nNyJRN4gAmuXmRqEHDugMPy1NxKHJkydEe/YQffkl0fvvE61bRxQfn39a9+0j6mzYRi1+5eHv7U05\nOSIvdnZEEycWHF5pE3rgAA0wMtKa/qEWVnTxIlFYGNHhw0S7dhFdvVrWKdZNRgaRvz9RzZpEGzfq\nrjOqvHhB9PHHRM7ORH/9VfJpLC6iooh8fYkcHYmCg/V75v59ouXLiVq0IOrenej69RJNIv3xB9Gi\nRUTz5xPNnUs0axZRnTpEH35IlJLy+uGnphJ9/70o78aNid59l+izz4hWrSK6du31w9fk5k1RR/Kr\nV0+eiPpUsybRihVEWVmivfnhB3Fu/HhRduWRK1dE+mrVEu9QWxupSVaWaBvc3YnatxdtRVmQnU20\ncCGRpSVRy5ZEPXoQDRsmymL4cKLatUW+Bg8mmjmTqEsXIgsLooEDiVavJjp4kOjiRVE2L14QzZkj\n2uy9e8smP/mRmSm+41q1RJ8SFyfOp6YS3bolymP0aCJra6IvviCKiXn1bHQ00c6dRLNni/pc3rl2\njah5cyI3N6Lq1YlsbYk6dhTfuq0t0ZIl4vvSxY0bok9wcyNq0ED0C7m5JZfeuDii+vWJpk8nio3V\nfs/du+L9T5smym/kSKL/9/+Ihg4VbfrkyUQzZhB5ehI1akS0e7d+fVlRuHJFfAsDBxZPm6zKsWNE\nDRsSDRhA9OBB8YZdkqSlibZswACisWNFuXRvd4B6WnhRb2MPGuriRdt+0y1flgR37og64+Iivofv\nvhPf+e3bROnpr+7LyhL9/MmTQi4oar25fl30BZaWog29e7d48qGLvXtFe922rWiXLS1F/d+zR/v3\nOtfDQ6vMOtfDQ7rn0iWiPn2IrKxEXk6eLPjb16ZPzCxAn9AkN1f0MTY2QifKjwqp5M2dW3zhZWQQ\nrV9P1LQpUevWRJs3i0qsip+Xl04FSxtnzohKZGgoCr9hQ6JOncRfCwsiLy+iefOEYjZ0qKhsb71F\nFBBA9OefRH//LTrK7GyRNnt7ohltPQqscHK5aLgtLUVl/uuvku1sCsOENm1olkbaZwLUoUpbattW\ndAJeXqIjcHAgGjKk5BWEwhIeTtSsmUijUugpDIcPC6PCxx8LoW/BAqEwjBkj6kNqavGnuSjI5URf\nfSUEOD8/ouTkwoeRnS0UEFtbos8/J3r+vPjTuXev6JC++Uakc84c8R5LQpFOTxfGh127hNA3caKo\np4MHi4a+OIiJEYqCm5toD/buVe9A//2XaNw48X1Pm0aUkJA3DLlcNP5WVkLRvX+/eNL2OmRmEm3Z\nQtS5s6j/8+drT3tB5OaK9rlOHfHeL1woOcFUkxs3iNq1I+rVi+jhQ933PXwoDA/+/kSHDqkLR9o4\nfVrU4Y8+KtvvPztbKDubNhF9+qmog336FGxwe/hQ3G9lRdSzpyjfmjWFgvTpp0IImT274PdQFigU\nr9qo9evFb4VCtO1hYaIcnz0rXHhhYURvvy0MEiVhjHj2TPRB8+cXT3gKhTA+tGghZJQzZ4onXCLR\n9owaJQwZy5cT5eQUX9iqZGSI92FjI9rmFy9KJp7iIjdXyH3vv/+q/dIm+PsYuFGXVgfo4MGSb+d+\n+kl8t599Jvqz0mpXicT3NmuW+A4HDy7eOqjk9m1RPzZsIPrnH/36Hz8vLwoFyA+guS//huqQ+2Nj\nhZG1RQuiunWFHPL4cd4wFQqhCA7udYDGNPEm/64e5O/tXSgF78UL8Z66diV6+rSSKnn5WdWKSm4u\n0YEDQrN3dib68cdXgqk+Gr2SK1eE9fPQIdGoPX0qlIOwMHFNW0OXlUV0/LiwiA4YIDoIe3siIyMi\nV1dhOS2MoimXCyt5y5ais/7uO6LExOJ9X4Ul9MAB8qlhT/4vPxh/gMbZ22ut3Kmp4oOpVYvIx0f3\neytN9u8XjeData/XACYkiIb0ww9Fw7Z0qWh4hg8Xwt6+fcWW5CJx4IDI58SJ6tb5ovLokbBUOjqK\nvBZXPUxMFALlyZPFE15RSE0VnWNxKHupqeK7X7xYtEX/+58wOrVsKTyJHTuKdunbb4UnryCePBH1\ny9paeFxK26OSkyPavOnTRVvWvbvIkz6eu4JISxPCnJub8Gj4+5ecQSg3V7x/W1uiNWtKRvhJShIC\nX506ony1CQclxblzRP36EVWrJrxQw4eL/uL06cKFk5AgvEEREervKCZGeJAaNBBel/JAdrYwpPbt\nK4wpd+4Ub/gKhVAQnZ2FsfL27eIJNylJtBFffVX89TAnR/RDdeoQtWkj6mFRDUSJieK7t7YWoytK\nwsCnjbt3RV2zsREjpcqrZ2/WLKFQqxo+dMl341t4U5Mmov0/erRk2p/ly4WcmZ/xqjR48YIoMFCk\npWNH0V8Uh9yXnS0ML4GBhXtu1dy59KHGCLQPjYxoVQFepkuXiCZNEsbYsWPF79RUot9+I2pW9wB5\nVPOi8fU8qG9NL3IwO0Bff63/yJvoaPF9+voK4wZRCSl5n3/+eVEeKxZKY4TphQvCE2ZjQ/T110Rf\neOinYN27J4TZbduKJx1ZWa+8ikVx8SoUojMbM0ZYWj//vHgE96KQm0vUrM4B+tDdm+Z66Ge9eP5c\nDMWrU4eoalWiJk2EEvzFF0KALA1rk0IhBG9HR6KzZ0s2rqNHXw09iYws2bi0sWePUKxLIp8XL4oh\nQ5aWwmtx48brhTdunPCIlgdUlT1v7/yHfmsjN1cIg2PGqD+nUAil29dXCNBFUZDkcjHEsGZNkbai\nhqMvd+6IoWB2dkStWgkL+61bJROXQiHa6s8/Fx7QFi2EwFJchgSFQhhjOnQoHY/ohQuvhi+9/75Q\ntEqqjTt3Tnjq6tQRymtJC+J79wqlZ9Ag4TkqbaOdchj5gAFENWqI4WgLFuQdtVOcpKaKOGxthfH4\n99/zH/ZJJIwzK1eKevDzz8J4kZsrBOAuXUSbV5L9Xk6OMDh/+KFoM956Sxjn9BVCb94UhpcPPihd\nY4Uq9++LEU3W1qJdLS1ZQR82bhRKjOa7yc+RkJMjjAYNGhB16yZGqhTX97NypTAulyeFOCdHKHgd\nOhDVqyfS+Dre2YULxQiMwo5qK+wIPk2ePhWyo5MTkbk5Ufe3DtCnDuoy/Jd13GjkgANkZSUMxX/+\nqX3UQ1qaGBrr5CSMcKr1uUSUvNq1axflsWKhNKcR3r8vhkXZVTtA46rlr2DFxoqPd82akktP6IED\nNLFtWxpuZUVjrKzo4zZt9Hbzqg6rGT+e6PLlkkunNr7zO0A9zL1oroeHcIMXwj1NJDrMq1fFR7Bg\ngWjw3N3F8K3MzOJPb1qasJoMHy46utJSjjMyhGJrZSXiPn68dDqoXbuEgnfhQsnGExcnrLtK786W\nLYUfynXokBgSUVoWYn1RDv1u3lwc69frlzc/PzGUUWmZKwnS0sRQvE6dREcRECDqd3ESHy+UBn//\n4veOFERurvhWfHyEED9mjFCSijpcXaEQxqS33iracOXXITFRGA0aNBCe3DVrimcuU26u+Ha8vITC\ntWZNydY5TVJShOLy1luiDvr5vf7c+oJQKISQaGtLNGGCaG8ePSrZODXJyCDasUMYWaythQK0fLmY\nt3j2rJAztm0j6t9f1N333xdeB19fIVPY2Ii64OtbutMvsrOJjhwR783aWrQdy5frngd46JBQDNev\nL7005sfz5+I9NmggvB8bN5ZufVclM1N4SmvW1G7g1EehyM4WeWjZUoQzbpww2hVVAVq9WvSj5WFI\nvy7OnBHKj5WV+C62by9ce/zff+JdFWWOemFG8KkSeuAA+Xm9knWP7TlA8fH5l3Fyshgl1r37Kxl9\nyxYxFaVzZzHSon17Ud6asJJXDKSkEM2dcYC8bbypl5EHDXLypk/GH6ClS0k6mjUTWntJUpQFYDR5\n9kxY152dxQTUVauEtb8kObn/AI2u+nrp1iQ3Vwyh7NFDeNnmzy+6IpaVJSxlnTsLD0TVquKwtxfD\nFstiPolcLjqo5s2Fd2/p0qLNA9SHnTtFvv/9t2TC10ZGhmiwe/USAtgnn4hhuQUptMnJou6GhJRO\nOouCQiHS16eP8MqMHi2G4aoKGJmZwsP1449CkNNnCGZxceWK8LZZWwsPw2+/vX4bkJYmhsQEBBRP\nGl+HJ0/E99Kkiegw+/YVbXNoqP7f8oIF4tsrzJys4iY3V3j3/9//E/mYMqVo82XkcqE01q8vhgCv\nW1d2wq6Sq1eF0bEwXq7C8uzZq+kPpW100EVUlPjmp0wRwmv79sIL3asXUVCQdsNVTIxQtkrSA18Q\nmZnCkzBmjGjT2rcXHhJlm/3TT6K/PHWq7NKoi9xckXYvL9HPzZol6l9pGE+jooQxw85OzFk9d077\nfYUdqRUZKeaT9uwpvEReXqJeXb+uPV/KxVKOHxdK+PTpoh8taSNLcREbK4xSffqI/L7zjvidn0yU\nkSHa8KCgosVZFE9efjK6vkpjTIwoywEDxDoDf/2VvyJfkE6kcwuFRB3L2hMRWrZsidjY2EIt9Vlc\nyGQFLBdawsTGAtu3i7+qNGok9qZ5neWTC9qmoTiXXs3NFftrrV8v9qzp1w8YNUosi21UzLsnftTO\nG2v+Dcmzz9/jtm3x27//5vusPltXXLkC/PyzWPK3c2exF0vfvgUvC52cLPZ8W7FCLNH+2WfAW28B\nVlblY/8WQLQC586JdO7bBzRoAAwcKJaMbtLk9eobEfD778DXX4tl3lu1Kr50F4bISFEPN20SS5l3\n6vTqcHF5tby0kZFYhjsnRyzZXBGIiwN27RJ18/p1oE0bsQdUTIzYBLhRI7FZbFlse5CZCRw8CPzx\nh9iqoGdPsXdRv36Fq/9E4jkiYMuWst/iQJVHj8RGymfOiGXB798Xy11Pniy+eW2sWCG2Ozl1SiwV\nXh6IiQF++018IyYmYrl+Hx+RB7lctBGnTwNnz4plzVWJjhbbmUydKrYAKE/lk5kpltRft05sUzBs\nmNh+pXPn12uDT54ERo9+tfky76VWfGRliW9j3z5xpKaK72TfPtFel2fCw0Vd27lTLHn/3nvA0KFi\nv8Pi+i6SkoDgYBFHWJiQqz7+WGzynh9hwcE4GhgIw4wM5JqYoPe0aXpt05WcLLbMCAkRslx2togr\nKUm0BYmJoowcHUX5uLiI7Q/GjRNbhlQ0nj8X8sqePcChQ6IPHTRI7NFLJGTb3Fxx/elTsd1GUcp2\ndUAArn7/Pd5PT5fk1nBTU3h89RU+DgjQ+kx+MjoRFZv8rkpBOpFOJc/FxQWyfN5MZGRkkRP1OpS1\nkldSKPeTU9940Q3ey5dLH3qApycCQkPzPBvg4YGAkyeLHPezZ8DWrULYi4wUe/6MHCkUHgODIgcr\nMcjSEzOSQ3EEUNvnb7KJCXz+9z+1hkxVqYt5/hwW8fFY9uiRdF3znaiSmioa1rVrgYgIIdh4eYmN\nOG1txT2PHokG4tAhIdj27Ss2jy1v+wtqIytLdBp794qjalWh8A0cKBSiwmzIe/Om2KcsJkYYLVq0\nKLl06wuREEjPnn11xMcDL16Iw9hYCBNXrgA1apR1agtPXJzYJ6pePXGUJ8EzKUkoo5s3izQOGiTa\nAKVgIpOJw8ws7ybL8+cLZfHECf33CiorIiOBNWvE/nTu7sCECUKZkMuFMHT/vhAOwsKEIFTeIAL+\n/lu019u3izZALhcCTufO4tDcd8/BoWJsJh8dLZTYAweEQaRjR9F29+oFtG6df1/0+LFQPJRHfLwo\n4z59Si/9byJEwJ07Yu/EatXKOjX6QyT2ONy5E/jf/4RS0KePOHr2LHz/8uyZCGv3bvF9enoCgwcL\nJbI0N6UnEnuMRkaKTbqVR40axSPLlTeyssQ+qnv2ANeuCRnI0FAYhM3NgVWrgFq1Ch+uUh53iojA\nVQBrVK7lJ4PmJ6P3+PLLPDL+LDc39NERlr4UWcnLyspClfIkhbykoip5r+ulWx0QgEOLFmF/To56\nuABW2digSfPmxbJJ+717QtnbulV0nG+/LTrbTp2E1cfQUDQWhoZC6MvIEBtJpqcLq2yrVuqN2unT\ngF/PtuiadQkLtcSnasXQVHT9gQKfyS8fR46IIzQUaNhQNOSRkUJo6NNHKHjleSPi/CASm4kqFb64\nOKHUNm/+ylrn4iKUW1VbTWIiEBAgynf2bOHRKOmNcIsDIlHXDA3Ll3JUGYmNBbZtE4dyxIJybElK\nimgHOncWbUJ6OvDtt8A//5Qfr5c+ZGQI7+qWLaI9UwpDVlbC01evXlmnsGByckQ75+ZWMb7hwpCU\nJAoepEUAACAASURBVNrto0fFiJOEBLF5fO/eot5FRwP//Qf8+6/4K5eLOtm1qzjc3ct2Q2mm4kAk\nNrY/fFgcZ86IUTLNm786mjUTsoKqokQkDJE//ywME337AkOGAN7ewhjGVEzCgoOxytcX2xMSCi2D\nFiTHF9Vbmx9FVvLatWuH2rVro0+fPujTpw9cyokfviIqea/rpavl6Ymrixbh/ZwcNW9YGIAtRkZY\no6L45WdlKCyPH4thQMojNhZQKISypFCIw8REWO+rVRMC+K1bYrjXmDHCIvbuu0CVG21hGX0JQVri\nUPVCan4gAS+P/J7Rh6wsYV2TyYAOHSqfQAQADx6IDuruXfH/gwdCoU1OFh2O0gPz7JkYEjV//ivv\nJsPoS3Y2cPWqEITOnhVW/PXrhaeFYUqK6Gih7P31l+iLXFzE6At3d/G3QYPK6algSp/0dGE4uHFD\neJSvXxcjX5KThXe/Xj3x9/RpIVt89JEwDFlbl3XKmddFKasbR0RI8meAlvt0yaDaZP3i8NblR0E6\nkc7ZVxcvXkRkZCQOHz6MTz/9FDExMejSpQv69u0LDw8PVGUzmVa0eexCVqxQK3QAWBQRgdmBgVLB\n5+h4n7kmJghduRLbVRS52QAMAZwHcFDDs6cZ7utgZyeGbQ0alPeaLs/k06diGNHs2aLhMzICxrtZ\nICFaexy5KhMvjDIz1a7laN6s5Zn80qKkShWgWze9slxhcXERnY0mOTliGGtKihjyWK0aUKdOqSeP\nqSQYGwvB2t0dmD69rFPDvCk4O4s5ROPGlXVKmMqOqemroc+qpKa+Mp5GRoqhmD16lK85rszroZTV\n/V/+1lcGVaKUO2ereOv6FIO37nXId4kNV1dXTJ48GZMnT0ZWVhZOnTqFI0eOwN/fHzVr1kRwcHBp\npbNCoNVjFxGBNB2D1Q0zMqT/vaZPh19ERF4LwLRpiB45UjrX7eUBACMMDYVbLZ9wSwJd+QREJZ86\nVUzyv3VLDOHc+VVVDAfgB/U5eR+ammLktGnSb01F10vLM8p3om9a3nSMjMR4/Io4h41hGIZhygPV\nq4thm82alXVKmJJC6WhQyp7eKFgG1aRbv34Fyp76LChYXOhU8p48eYKnT5+i2csaXaVKFfTs2RP2\n9vb44osvkJWVVSIJKm8UpjB0eeyG29hovT82JQX+3t5S2E6jRmH233/nsQCs0rHcZaqBgVYlT5eV\nobjQxzMJvFq0IXn6dOy4cAFN5XIMB2AK4BmAZoMGqd2vqeh2A7DR3h5THB1R09xcq1VE37QwDMMw\nDMMwjDaUjgalI+UohKz6rrEx6jduDDNHx9f2zBXVMVFUxVCnkjdt2jR8/PHHec4nJCRg0aJF2LJl\nS4GBV3QKWxiaww0BMW/u6YsXmATgN5XzQw0MYBcZiYX//acWtvfy5QCE8nL8hx8QsmIFqjVrhklh\nYWrPTwJg27Ej/GJjtXr/tOWluCwH2vIJ6PYgXr9wARFyOXIAbFc5P/XlRFRlOrS5uscW8EEVNi0M\nwzAMwzAMo4qqo0E5am6WmxtGFuOcusI6JsKCg7Fp9mwYh4fjZxW51k8jDF3oVPLu3bsHDw+PPOe7\ndeuGyZMn6xV4RaewhaE53DAMwBEAnTIz4YVXc+lyAdRSKLBSLs8T9qQ5c1ArOVkt3uGmpvAAMAJA\nxsvnHQCk3bgBp6lTtXr/1NJRzEMa85s/qI3QlSvhjryrFK2Uy/O8S31c3a+TFoZhGIZhmPJEaQ7h\nY7RTGnPqCuOYUMru9hEReeRnpS5SYHy6LqSkpOh8KDs7u8CAKwOF9RJpDjcMgRjLGwD1uXSA9hV7\nACAlMhK/aSh/junp+BhAc0B9r7mEBEz45ReYODigpoWFzhV2intIo2o+lRucR5uYwOzJEzXPnLLR\nypXLdVa01/W45TeXkWEYhmEYpjzDawuUHwrraCgshXFMKGX3AB1h6SM/61Ty6tevj+DgYPTTyOzB\ngwfh5uZWYMCVAW2euRAA0Vevwt/bO4+lRdMKEH31KvBymGKesHXEWVUlHqOX9z18eU2pNKqmp8aj\nR2qbhc+4ehVYu1YtXcU1pFHV0vTYwgIj6tWDVVyccCFnZACXLsHvk0+k+5WN1rv55Pd1PW7lcTUj\nhmEYhmEYfeC1Bd4cCuOYUMruryM/61Ty/u///g/9+/fHzp074e7uDiLCv//+i7Nnz+LAgQMFBvw6\nKLdtyM3NxcSJE/H111+XaHy60PRYSV40uRwICdFqaVG1Avh7ewMhIVpXiYyzt8cMQE1Bm+Xmhkwi\nHJHL1e4d+PJ5ze3dtgNYpXFu2aNHmDJnjlqalMqqpvL4OB9vrSbaLE3DTU3VxgiHAZBFRGDd6NHI\nMDDA9oQEAEANAPHI+w4mGBnBtxg8biVteWEYhmEYhikJeG2BN4fCOCaUsnt+K80vPHIk3/h0KnkN\nGzbE1atXsWXLFty4cQMA4OHhgV9++QUmJTjfKTc3F1OnTsVff/0FJycnvPXWWxgwYACaNGlS7HEV\nNAZatTDunj+PbVrm0OVnadHU2GcDiDIxgVnTphg7f74UtmpBb589G94A/PFKGasNsZSrpkL3Qke+\nXkRG5knHhKtXYf/okVolmREXpza8Mj+0WZqapKdL/2sqwQEq97lAVNLfAfgAqALADIBBy5asnDEM\nwzAM88bCawu8WeTnmFDVSx49f44Z9vaSM0hVhxg+f/7rra4JACYmJhg/fnzhc/AanD9/HvXr14eL\niwsAYMSIEdi7d6+akhcQECD97+npCU9Pz0LHo+8YaGVhBHh6AqGhecLJz9KiqiQ+iYlB0qNHcHR0\nRHVbW7WwVfnj66/V590BmAAgyNAQU3Jz1bR57bYfQHNzi279+mG7gwMWqXgNAeH103c4gDZLk6oL\nWXMoqeo1LwgFUHV10FlubujzUtFlGIZhGIZ5E+G1BRhAu14ywd4eU9q2RU1zc8DEBG09PSHPyMDx\nCxdw/MKFAsPMV8krC2JjY+Hs7Cz9rl27Nv755x+1e1SVvKKiawz0pDlztHr3CmtpUdXG458/h0VC\nAn5JSAASEoBr13ROqk169Ai/aITlC+D/cnOlPTtGAJBVqYJEQ0P4paeru3ABmLm65klPTQsLrenU\ndziAtvx7AfjI1BRr0tPzVCRV97JywZnhpqZwrF+/WPYa0QderYphGIZhmPKM5hC+2JQUVCGSttFi\n2eXNQJtesu7RI8xu1QoBhw9rfWbevHn5hlnulDyZTFYq8eja087o5k0s1LIXRWEsLZrauD/ybh+g\na6ino6OjUARVCAGwSzOSrCxMatsWj+LiMPvRI2lrhluWlnAgQoCn52spqZpoy/9hNze0fLmB+93z\n58VcxZcoFbsRtrZo3KwZck1MMKUUF0Th1aoYhmEYhqkIKEd2sezy5lISczPLnZLn5OSE6Oho6Xd0\ndDRq165d7PFoU3pCALWFRIBXytiCl1q0PpMlNbXxwmwfUN3BAbh2Te2cruedzM3RY+1aHA0MBDIy\n8CglBS5xcVh26ZJ0T1GUVG0UNFk0LDgYfhoN02E3N3xcjJtIFgZerYphGIZhmIoEyy5vLiUxN7NA\nJa9FixaQyWRqe7DVqFEDb731Fvz9/WFjY1PkyLXRrl073L17Fw8ePICjoyO2b9+OrVu3FmscgHal\nJ9rERGwFoIFSGdN3FUdNbbwwy59qS1e4qSnwcpET1RUyw69fRw9AUkD9vb2x8L//1MIripKqi/zy\nX962MuDVqhiGYRiGqUiw7PLmUhJzMwtU8vr06QMjIyO8//77ICJs27YNaWlpsLOzw9ixY7F///4i\nR641QUZGWLlyJby9vZGbm4sJEyaUyMqa2pQSsydPABUvmJLCatFPnz9X+53f8qf6pMujQwf4bd4M\n74gIaVGWMAA5CQlY99572N6kCYYvWFBg41DSWw2Up60MeLUqhmEYhmEqEiy7vLmUhLNERqouOi20\nadMGlzQUH+W5Fi1a4JrG0MKSRtOrWJxoGws9y80NfQo55HBi27awu3RJTakbD0Bu/v/bu/vgqKr7\nj+OfzYaHZORREZGgIAFCkg0kAZQqGAQEBkN5qBTo1Ch1qrYloAWnyMPgb1DbGSgD+FCdBgapLZSx\n0drUAiMGcDoECUhRUBACBgxSqBoSQiDh/P7ArCybzbLhZu/dzfv113J3b/L9zI3r+e45e08b9cvI\nUG3r1hoZ4oXbVlCgl3JytP7MGd/tCr4zr2dPfdO2rV6qp0ldMGqUdyavubDqWgIAAIQDYxeEIlhP\nFHQmr7a2VkVFRbrzzjslXd7i4NKlS5dPjnXcV/qui1VddELbtrpPl/e0qLshysOStmRkaFFhYaNr\n25KaKm3d6rddgfTdnUEzMjSvZ09uwyvnLR8FAABoCGMXWClol5aXl6dHHnlEFRWXt95u06aN8vLy\nVFlZqblz5zZ5geFmxZLDmlatNFTf32GyzubrnG6vm8Zv8EYs//d/vDl8x0nLRwEAAIJh7AKrBF2u\nWefbb7+VdPmmK3ZqyuWaVmmq6fa6n+s6fNhvSwapeS7LBAAAAJqb616u+fXXX+v111/X0aNHVVNT\n4/2hK1assK7KKNNU0+11569duFBP7N/vs91Dc12WCQAAAMBX0Jm8wYMHa/DgwfJ4PIqJiZExRi6X\nSzk5OeGq0UckzOSFw7aCAm2+ookM9UYuAAAAACJTsJ4oaJOXkZGh3VftvWYnmjzrbSso0KYVKxRb\nXa2aVq10f24uDSMAAADgUNe9XHPatGl67bXXlJ2drVZX7N/RsWNHayqErer7/uC87x7T6AEAAACR\nJ+hM3osvvqh58+apffv2iomJuXySy6UjR46EpcCrMZNnrfmjRmnxpk1+x7mJCwAAAOBM1z2Tt3Tp\nUh0+fFg33XSTpYXBGWKrq+s97r7ipi4AAAAAIkdMsBf06tVLcXFx4agFNqi5YgnulWqvc08/AAAA\nAPYIOpMXHx+v/v37a9iwYd7v5LGFQvS4PzdX8w4f9t/Tj+0YAAAAgIgUtMkbP368xo8fL5fLJUne\nLRQQHZpqTz8AAAAA9gh64xWn4cYrAAAAAJqzYD1R0O/kAQAAAAAiB00eAAAAAESRoN/JQ/TaVlCg\nTStWKLa6WjWtWun+3Fy+iwcAAABEuJCbvGeeeUbt2rXTo48+qhtvvLEpakIYbCso0MaZM33uqjnv\nu8c0egAAAEDkCnm55sCBA+V2uzVr1qymqAdhsmnFCp8GT5KeO3xYm1eutKkiAAAAAFYIeSZvwoQJ\nTVEHwiy2urre4+7z58NcCQAAAAArBWzysrOzg57csWNHrVmzxtKCEB41321sf7Xa1q3DXAkAAAAA\nKwVs8j799FP98Y9/rHf/hbp9GX75y182aXFoOvfn5mre4cM+Szaf6dlTo2fMsLEqAAAAANcrYJO3\nePFi3XvvvQ2evHDhQssLQnjU3VxlwcqVcp8/r9rWrTV6xgxuugIAAABEOJcJsFV6VVWVzp49q5tv\nvtnn+KlTp9SmTRvFxcWFpcCrBdvdHQAAAACiWbCeKODdNXNzc7V9+3a/4x988IGeeuopa6oDAAAA\nAFgqYJNXXFysSZMm+R2fOHGitm7d2iTFLFq0SAkJCUpPT1d6err+9a9/NcnvAQAAAIBoFfA7eefO\nnQt40qVLl5qkGJfLpaeeeoqZQgAAAABopIAzeTfffLOKior8ju/cudPve3pW4vt2AAAAANB4AWfy\nlixZosmTJ+vhhx9WZmamjDEqLi7WmjVrtG7duiYraOXKlXr99dc1YMAALV26VO3bt/d7zaJFi7yP\ns7KylJWV1WT1AAAAAICdCgsLVVhYeM2vD3h3TUn66quv9NJLL+mTTz6RJKWkpOhXv/rVdc3kjRw5\nUidPnvQ7/txzz+muu+5Sp06dJEkLFixQWVmZ8vLyfAvm7poAAAAAmrFgPVGDTZ50eSuFzz//XJKU\nmJgYtq0Tjh49quzsbO3bt8/nOE0eAAAAgOas0VsoXLx4UU8//bS6deumnJwc5eTkqFu3bpozZ44u\nXrzYJMWWlZV5H+fn58vj8TTJ7wEAAACAaBVwJm/WrFmqqKjQsmXL1KZNG0lSeXm5fv3rXys+Pl7L\nly+3vJiHHnpIH330kVwul3r06KFXX31VnTt39i2YmTwAAAAAzVijl2smJibq4MGDionxneyrra1V\nnz59vEs4w40mDwAAAEBz1ujlmjExMX4NniS53e56jwMAAAAA7BewW+vbt6/WrFnjd3zt2rVKSkpq\n0qIAAAAAAI0TcLnm8ePHNXHiRMXFxSkzM1OSVFxcrHPnzik/P18JCQlhLbQOyzUBAAAANGfXvYXC\nli1bvPvkJScna/jw4dZWGCKaPAAAAADNWbCeKDbQE1VVVfrDH/6gzz//XGlpaZo+fbpatGjRJEUC\nAAAAAKwRcCZv8uTJatmypYYMGaJ3331Xt99+e5NsmxAqZvIAAAAANGeNXq7p8Xi0b98+SVJNTY0G\nDhyoPXv2NE2VIaDJAwAAANCcNXoLhdjY2HofAwAAAACcK+BMntvtVnx8vPffVVVViouLu3ySy6Xy\n8vLwVHgVZvIAAAAANGeNvvFKbW1tkxQEAAAAAGg6AZdrAgAAAAAiT8AmLyMjI+jJ1/IaAAAAAED4\nBPxOXlxcnBITExs8+dtvv9UXX3zRJIUFwnfyAAAAADRnjf5O3oEDB4L+cO66CQAAAADOEnAmz6mY\nyQMAAADQnDV6nzwAAAAAQOShyQMAAACAKEKTBwAAAABRhCYPAAAAAKIITR4AAAAARBGaPAAAAACI\nIjR5AAAAABBFaPIAAAAAIIrQ5AEAAABAFKHJAwAAAIAoYkuTt2HDBqWkpMjtdmv37t0+z73wwgvq\n1auXkpKStGnTJjvKAwAAAICIFWvHL/V4PMrPz9djjz3mc3z//v1av3699u/frxMnTmjEiBE6ePCg\nYmKYcAQAAACAa2FLk5eUlFTv8bfffltTp05VixYt1L17dyUmJmrnzp266667fF63aNEi7+OsrCxl\nZWU1YbUAAAAAYJ/CwkIVFhZe8+ttafIC+fLLL30auoSEBJ04ccLvdVc2eQAAAAAQza6e2Hr22Wcb\nfH2TNXkjR47UyZMn/Y4///zzys7Ovuaf43K5rCwLAAAAAKJakzV5mzdvDvmcrl27qrS01Pvv48eP\nq2vXrlaWBQAAAABRzfY7mhhjvI/HjRundevW6cKFCyopKdGhQ4c0aNAgG6sDAAAAgMhiS5OXn5+v\nbt26aceOHRo7dqzGjBkjSUpOTtbkyZOVnJysMWPG6OWXX2a5JgAAAACEwGWunEqLAC6XSxFWMgAA\nAABYJlhPZPtyTQAAAACAdWjyAAAAACCKOGqfPDjHtoICbVqxQrHV1app1Ur35+Zq6NixdpcFAAAA\nIAiaPPjZVlCgjTNn6rnDh73H5n33mEYPAAAAcDaWa8LPphUrfBo8SXru8GFtXrnSpooAAAAAXCua\nPPiJra6u97j7/PkwVwIAAAAgVDR58FPTqlW9x2tbtw5zJQAAAABCRZMHP/fn5mpez54+x57p2VMj\nZ8ywqSIAAAAA14rN0FGvbQUF2rxypdznz6u2dWuNnDGDm64AAAAADhCsJ6LJAwAAAIAIEqwnYrkm\nAAAAAEQRmjwAAAAAiCI0eQAAAAAQRWjyAAAAACCK0OQBAAAAQBShyQMAAACAKEKTBwAAAABRhCYP\nAAAAAKIITR4AAAAARBGaPAAAAACIIjR5AAAAABBFaPIAAAAAIIrQ5AEAAABAFKHJc4DCwkK7S7AU\neZwv2jKRx/miLRN5nC/aMpHH+aItE3kimy1N3oYNG5SSkiK3263du3d7jx89elRxcXFKT09Xenq6\nfvGLX9hRXthF2x8deZwv2jKRx/miLRN5nC/aMpHH+aItE3kiW6wdv9Tj8Sg/P1+PPfaY33OJiYna\ns2ePDVUBAAAAQOSzpclLSkqy49cCAAAAQNRzGWOMXb982LBhWrp0qTIyMiRdXq6ZmpqqXr16qV27\ndlq8eLHuuecen3NcLpcdpQIAAACAYzTUxjXZTN7IkSN18uRJv+PPP/+8srOz6z3n1ltvVWlpqTp0\n6KDdu3dr/Pjx+uSTT9SmTRvva2zsSQEAAADA8Zqsydu8eXPI57Rs2VItW7aUJGVkZKhnz546dOiQ\nd6YPAAAAANAw27dQuHJm7vTp06qtrZUkHTlyRIcOHdIdd9xhV2kAAAAAEHFsafLy8/PVrVs37dix\nQ2PHjtWYMWMkSVu3blW/fv2Unp6uBx98UK+++qrat29vR4kAAAAAEJFsafImTJig0tJSVVVV6eTJ\nk+rSpYs6d+6sRYsW6eOPP9aePXu0atUqLV68WGlpaRo3bpzOnj0rSXrjjTe8++ilp6fL7XbrP//5\njyRp/fr16tevn1JTU/Wb3/zGjmiSpOnTp6tz587yeDzeY3v37tXgwYP98pw/f15Tp05VWlqakpOT\n9dvf/tZ7TnFxsTwej3r16qWZM2eGPceVrMo0b9483XbbbT7fs7SDFXnOnTunsWPHqm/fvkpNTdXc\nuXNtyVLHqms0evRo9e/fXykpKfrZz36mixcvhj2LZF2eOuPGjfP5WeFmVZ6srCwlJSV53wNPnz4d\n9iySdXkuXLign//85+rTp4/69u2rv/3tb2HPUseKTGfPnvX5f1SnTp305JNPRmweSVq9erU8Ho/6\n9eunMWPG6MyZM2HPIlmXxyljBSm0TBcuXNAjjzyitLQ09e/fX1u3bvWe45TxglV5InGsEChPVVVV\nxI4VGrpGkThWaChPHbvHCpYyDrBt2zaze/duk5qa6j02YMAAs23bNmOMMatWrTILFizwO2/fvn0m\nMTHRGGPM6dOnzW233WZOnz5tjDEmJyfHvPfee2Go3l8oeVavXm2mTJlijDHm3Llzpnv37ubYsWPG\nGGMGDhxoioqKjDHGjBkzxrz77rvhjOHDqkw7duwwZWVl5oYbbghzAl9W5Dl37pwpLCw0xhhz4cIF\nM2TIkKi4RuXl5d7zJ02aZNauXRuuCD6symOMMW+++aaZNm2a8Xg8YUzgy6o8WVlZpri4OMzV+7Mq\nz8KFC33e3+vew+1g5d9cnczMTLN9+/YwVO/PijzV1dWmY8eO5syZM8YYY55++mmzaNGiMCe5zIo8\nThorGBNaphdffNFMnz7dGGPMqVOnTGZmpvccp4wXrMpTVFQUcWOF+vJcunQposcKgTIZY8zZs2e9\n50fKWKGhPMY4Y6xgJdu/kydJQ4YMUYcOHXyOHTp0SEOGDJEkjRgxQm+++abfeX/+8581ZcoUSZe/\nw9erVy/deOONkqThw4fXe044hJKnS5cuqqysVG1trSorK9WyZUu1bdtWZWVlOnv2rAYNGiRJeuih\nh/TWW2+FN8gVrMgkSXfeeaduueWW8BZfDyvyxMXF6d5775UktWjRQhkZGTpx4kR4g1zBqmtU98np\nxYsXdeHCBd10001hTPE9q/JUVFRo2bJlmj9/vq1357Uqj+SMuwxblWf16tU+n2zXvYfbwcprJEkH\nDx7UqVOn/LYCChcr8sTGxqpDhw6qqKiQMUbl5eXq2rVr2LNI1uRx0lhBCi3TgQMHNGzYMElSp06d\n1L59e3344YeOGi9YkUeSBg0aFHFjhfry7Nq1K6LHCoEySdINN9wgKbLGCg3lccpYwUqOaPLqk5KS\norfffluStGHDBpWWlvq95q9//aumTp0qSUpMTNRnn32mY8eOqaamRm+99Va959glUJ5Ro0apbdu2\n6tKli7p37645c+aoffv2OnHihBISErznd+3a1dY3hfqEmsnprifPN998o3feeUfDhw8Pe90NaWym\nUaNGqXPnzoqLi9Po0aNtqb0+jcmzYMECzZ49W/Hx8bbVHUhjr09OTo7S09O1ePFiW+oOJNQ833zz\njSRp/vz5yszM1OTJk3Xq1Cnb6q/P9bwvrFu3zvtBpFOEmicmJkbLly9XamqqunbtqgMHDmj69Ol2\nRvARah6njxWkwJn69eunv//976qtrVVJSYmKi4t1/Phxx48XQs3jdNeTJ9LGCsEyRdpYoaE8Th4r\nNJZjm7xVq1bp5Zdf1oABA1RRUeHdWqFOUVGR4uPjlZycLEnq0KGDXnnlFf34xz/W0KFD1aNHD7nd\nbjtKr1egPH/6059UVVWlsrIylZSUaMmSJSopKbG52msTbZkam6empkZTp07VzJkz1b17d5uqr19j\nM23cuFFlZWWqrq7WmjVr7CrfT6h5PvroIx05ckQ//OEPHfnJXGOuzxtvvKGPP/5Y27dv1/bt27V2\n7Vo7I/gIJc/Ro0dVU1Oj48eP6+6771ZxcbEGDx6s2bNn25zC1/W8z61fv977QaRThHqNysvLlZub\nq7179+rLL7+Ux+PRCy+8YHOK74V6fZw+VpACZ5o+fboSEhI0YMAAPfnkk/rBD34gt9stl8tlc8UN\nCzWP0zU2TySOFYJlirSxQqA8Th8rNFaT7ZN3vfr06aONGzdKurzkpaCgwOf5devWadq0aT7HHnjg\nAT3wwAOSpNdee02xsc6Jd3Wef/7zn5Kkf//735owYYLcbrc6derkHezcc889Pp+WHD9+3LYlMoGE\nkmnXrl3q0aOHneUG1dg8dTeNyM3Nta32QK7nGrVq1UqTJk1SUVGRcnJybKn/aqHmOXPmjDdXTU2N\nTp06pfvuu09btmyxM4ZXY67PrbfeKunyUplp06Zp586d+ulPf2pbhiuFmmfSpEmKj4/XxIkTJUk/\n+tGPlJeXZ1v99Wnsf0N79+5VTU2N0tPTbau9PqHk+fDDD3X77berR48e3lwPPvigfve739lW/9Ua\nc32cPFaQAo9/3G63fv/733tfd/fdd6t3795q166do8cLoeZxusbmiaSxQijXKBLGCsHyFBYWOnqs\n0FiOncn773//K0m6dOmSFi9erCeeeML73KVLl7Rhwwa/ZTB1y3y+/vprvfLKK3r00UfDV3AQX8c+\noAAAAqBJREFUV+d5/PHHJUlJSUneP6LKykrt2LFDSUlJuuWWW9S2bVsVFRXJGKO1a9dq/PjxttVf\nn1Ay9e3b17Y6r1Vj8syfP1/l5eVatmyZPUUHEWqmyspKlZWVSbr8qeM//vEPRw1SQ83z+OOP68SJ\nEyopKdEHH3yg3r17O+pNO9Q8tbW13rtpXrx4Ue+8846j7gIW6vucy+VSdna23n//fUnSe++9p5SU\nFHuKD6Cx73N/+ctf/D6IdIJQ8/To0UOffvqp9+9u8+bN3hU0TtCY6+PksYIUePxTVVWlyspKSZev\nQ4sWLZSUlKQuXbo4erwQah6na0yeSBsrBMsUaWOFYHmcPlZoNPvu+fK9KVOmmC5dupgWLVqYhIQE\nk5eXZ5YvX2569+5tevfubebOnevz+vfff98MHjzY7+dMnTrVJCcnm+TkZLN+/fpwle8nlDznz583\nP/nJT0xqaqpJTk42S5Ys8T63a9cuk5qaanr27GlmzJhhRxQvqzLNmTPHJCQkGLfbbRISEsyzzz5r\nRxxL8pSWlhqXy2WSk5NN//79Tf/+/U1eXp4teYyxJtPJkyfNwIEDTVpamvF4PGb27Nk+d56KtDxX\nKikpsfWOWVbkqaioMJmZmSYtLc2kpKSYWbNmRfz1OXbsmBk6dKhJS0szI0aMMKWlpXbEMcZY+zd3\nxx13mM8++yzcEXxYlWfNmjUmNTXVpKWlmXHjxpn//e9/dsSxLI9TxgrGhJappKTE9OnTx/Tt29eM\nHDnSfPHFF97nnDJesCpPJI4VAuWJ5LFCoExfffVVRI4VGvqbu/I10XJ3TZcxUbT4FAAAAACaOccu\n1wQAAAAAhI4mDwAAAACiCE0eAAAAAEQRmjwAAAAAiCI0eQAAAAAQRWjyAAAAACCK/D8QFWzOI9Hm\nsgAAAABJRU5ErkJggg==\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0x4d8c3d0>" | |
] | |
}, | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": "iVBORw0KGgoAAAANSUhEUgAAA3MAAADSCAYAAADg4ZmsAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrkJggg==\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0xc02f510>" | |
] | |
}, | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": "iVBORw0KGgoAAAANSUhEUgAAA3MAAADQCAYAAACtKTinAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAgAP9PwkaPtSqTU3KAAAAAElFTkSuQmCC\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0xbf62c50>" | |
] | |
}, | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": "iVBORw0KGgoAAAANSUhEUgAAA3kAAADQCAYAAAC6C6huAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3XlcFPX/B/DXcqgg1yKCCCoGKIKSKHmTeIFJoGai4IGJ\nZZpXXmWmYuWZ5hct0zwKNEUtb0TxwiMzNG/BMETlklQO8UAQ5vfH/HZkZZdLFhRez8djHrBzfOa9\ns7M78575fD4jEwRBABEREREREVULWlUdABEREREREVUcJnlERERERETVCJM8IiIiIiKiaoRJHhER\nERERUTXCJI+IiIiIiKgaYZJHRERERERUjTDJI3oFjRkzBt98801Vh1FtHThwAP3796/qMIjoFTd1\n6lSsWrWqqsPAr7/+Ck9Pz6oOgyqAlpYWbty4UdVhUA3AJI9eeap+EIOCgjBs2DDp9fz58/HGG2/A\n0NAQjRo1wuDBg5XmP3jwILp16wYjIyOYmZnBxcUFixcvxtOnTwEAmZmZGDlyJCwtLWFkZITmzZtj\n0aJFamNat24dWrRoASMjIzRo0ABeXl54+PAhAGDEiBGYNWtWqd/fL7/8Ajc3N6VxP/74I7788stS\nl1EWy5Ytg6WlJYyNjREYGIjc3FxpWmxsLLp37w4TExPY29tj586d0rSYmBi4urrC1NQUJiYm6Ny5\nM06ePKlU9meffQYzMzOYmZnh888/L7Lu4OBgvPHGGzAwMICjoyOuX78uTZs3bx6aNGkCY2Nj+Pn5\nITs7W5r29OlTjBw5EsbGxrC0tMSyZcuUyr1w4QLatm2LunXrwtXVFRcvXix2G8ycORMzZswAAIwe\nPRpjx46VpuXl5aFu3boqx0VHR+PmzZvQ0tJCQUGBUpmFP3fFPPn5+XjnnXdgaGgIQ0ND1KpVC7Vr\n15Zejx07FseOHYOWlpY0TjH89ddfKmO3sbGBvr4+DA0N0aBBAwwbNgwPHjwoEsfTp09hYmKCo0eP\nFinj008/xcCBA4uUpxgmTJgAQNw3tbW1YWhoCGNjYzg7O2PHjh3FblsASEhIgJaWltI2NDAwkMrX\n0tJSWufmzZuLlDFixAhoaWlh9+7dRWLX0tJCSEiINC4pKQlDhgyBmZkZDAwM0L59e4SHh0vTS/rM\nFixYIMWip6cHHR0d6XWrVq0AlO53qDDFOr28vJTGDx06FHPnzgUAREVFleqzHzFiBHR1dXHnzp0i\n69fV1YWhoSFMTEzQoUMHnDhxQmU8FbWtgNLvF0FBQdDS0kJ0dDQAIC0tDfXr18exY8eU5hs5ciT8\n/PzUbsOX+dwAwN3dHaampkq/dS++J3XrnDp1KubPn4+8vDzVG1RNzIo4GjRoAG9vbxw6dKhUy6sz\nZMgQHDhw4KXKqO5mzZqFVq1aQVdXV/qOKRw9ehTOzs6Qy+UwNTWFh4cHYmJipOlTp05Fs2bNYGRk\nhBYtWmDDhg1Ky+fn5+PLL7+ElZUVjIyM0KZNG2RlZQEArly5Ak9PT9SvXx9aWpV3Wn369Gn06tUL\n9erVg7m5OXx9fYv8RlDNxiSPXksymQwymQwAEBISgo0bN+Lw4cPIzs7G2bNn0bNnT2nebdu2YeDA\ngRg6dChu376Ne/fuYcuWLUhKSkJSUhIA8cTx8ePHuHbtGh48eIDdu3fDzs5O5bqPHTuGmTNnIiws\nDA8ePEBsbGyRpPJVdeDAASxatAhHjhzBrVu3cOPGDcyZMwcA8OzZM/Tt2xc+Pj7IyMjATz/9hKFD\nh0qJmJWVFbZt24b79+8jIyMDgwcPxvvvvy+VvXr1auzatQuXLl3CpUuXsGfPHqxevVqavnbtWqxf\nvx779u3Dw4cPER4eDjMzMwDPP8NTp04hJSUFT548wfjx46Vlg4KCEB8fj9u3b+Po0aNYvHixdMKT\nm5uLvn37Yvjw4cjMzERAQAD69u2r9qTszJkzePDgAdq1awcA6Nq1K44fPy5NP3v2LJo0aaJ0snz2\n7FnIZDK0bdtW7bYtvE8WHhcREYHs7GxkZ2djyJAh+Oyzz6TXK1euhCAIsLKyksYphvbt26tdz969\ne5GdnY2LFy/i8uXLSnd9FXHUrl0bgwcPRmhoqNLy+fn5CAsLw4gRI4qUpxiWL18uzd+5c2dkZ2cj\nMzMT48aNg7+/PzIyMtRuBwAIDQ1Fy5YtsWXLFunE+uHDh1L5TZo0UVqnqhN8mUyGZs2aKcX/7Nkz\nbN26FXZ2dtK2Tk9PR5cuXVCnTh3ExMTg/v37+PTTT+Hv74/ff/+92DgV22rGjBlSLKtWrUKnTp2k\n15cvXy52+ZJER0fjzz//LLJOhZI++0ePHuH333+Ho6MjNm7cWGT9igsi9+/fR8+ePZW+ky+qiG2l\nUNJ+IQgCQkND0apVK+kztLCwwLJly/Dhhx8iJycHAHD48GGEh4fj+++/L3b9qmIpzed28+ZNREdH\nw9zcvMgFA1Xf2Rc1aNAADg4ORZYtSVZWFrKzs3Hp0iX06tUL/fv3V7owUdizZ8/KVPbrKj8/X6Pl\n29vb49tvv4WXl1eRz9XJyQkRERHIyMhAWloaXFxcMHLkSGm6gYEB9u7diwcPHiAkJAQTJ05U+t7O\nmTMHp0+fxunTp/HgwQNs3LgRderUAQDUqlULgwcPxrp16zT6/l6UmZmJjz/+GLdu3cKtW7dgaGiI\nDz74oFJjoFcbkzx6LQmCAEEQAIgn7Z6enmjatCkA8URi1KhR0nyTJ0/GnDlzEBgYCBMTEwBAs2bN\nsHz5ctja2gIQT+L9/PxgbGwMAGjevDkGDBigct1nzpxBx44d8eabbwIA5HI5hg0bBgMDA/z000/Y\ntGkTFi9eDENDQ/Tt2xcAsHDhQtjZ2cHIyAhOTk7SHbLY2FiMGTMGf/75JwwNDWFqagqg6BXmNWvW\nwN7eHvXq1UPfvn2RmpoqTdPS0sLq1avRrFkzyOVyjBs3Tu12CwkJwahRo9CiRQuYmJhg9uzZ+OWX\nXwAA165dQ2pqKiZNmgSZTIZu3bqhc+fO0hVNY2NjNG3aFDKZDPn5+dDS0oKlpaVS2VOnTkXDhg3R\nsGFDTJ06VSq7oKAAc+fOxf/+9z84ODgAAJo2bQq5XA4A2LNnDwIDA2FlZYW6devis88+w5YtW6QT\nwdDQUMyaNQvGxsZwcHDARx99JJUdFRWF/Px8TJw4Ebq6uhg/fjwEQcCRI0dUboOIiAi4u7tLr93c\n3BAbG4v09HQAwMmTJzF48GA8evQI9+/fBwCcOHECnTp1gra2ttptC0DaJ192ntKysLCAh4cHrl69\nqnIdAQEB+P333/HkyRNp2oEDB1BQUIB33nmnVOtQlCWTyTB06FA8ffoU8fHxxc6/YcMGBAUFoV69\netizZ09Z35bE29sbJ0+eRGZmJgBg//79ePPNN2FhYSHNs2zZMhgZGWHdunUwNzeXktuZM2diypQp\npX5/hV9X5Gc0ffp0zJw5s9zL//7772jatCmmT59eJEkoHKu2tjb8/f1x9+5d3Lt3T2VZL7utXlw3\noH6/OHHiBB48eIDg4GCEhYVJF12GDh2K5s2bY/bs2Xjy5AlGjx6NFStWoF69euVaf+HXqj630NBQ\n9OzZE8OGDVObZJXE3d1d6W6nt7c3Fi9eXKplzc3NMWHCBAQFBeGzzz6TxtvY2GDx4sVwdnaGoaEh\n8vPz1R4ngKI1Por73Y+Pj0f37t1hZmaG+vXrY+jQodJdJwA4d+4cXFxcYGRkBF9fXwwaNEjpeLN3\n7160bt0acrkcnTt3LvZCx8SJE9G4cWMYGxvD1dVVqXZHUFAQ3n//fQwbNgzGxsYICQlBVlYWAgMD\n0bBhQ1hbW2PWrFnSXdOS4i7J8OHD0bt3bxgaGhbZF8zNzWFlZQVAPB69ePwKCgpCs2bNAADt2rWD\nm5ublORlZGQgODgYa9asQaNGjQAAjo6OqF27NgDxfOKDDz6Ao6NjqWNVOHnyJBo3bixdaNTS0sKP\nP/4Ie3t7GBkZYfbs2YiPj0fHjh1hYmKCwYMHS9+l3r17Y8CAATAwMICenh4++eQT/PHHH2WOgaov\nJnn02uvYsSNCQ0OxZMkSnD17Vulq4T///IPk5GS1CZtChw4dMHPmTPzyyy9KVQjVzXvgwAEEBQXh\njz/+kKp8AsBHH32kdLdm165dAAA7OzucPHkSDx48wJw5czB06FCkpaWhRYsWWLVqFTp27Ijs7Gwp\n0Sh8hfnIkSP44osvsG3bNqSmpqJJkyZF7hyGh4fj7NmzuHTpErZu3aq2Wk9MTIyUnAKAs7Mz0tLS\n1N6ZKSgowJUrV5TGmZiYQE9PD4sXL8a2bduKLVuRfCQlJSE5ORmXL19G48aN8cYbbyAoKEjpRLHw\nQbmgoABPnz7F9evXkZGRgdTUVLVlX716Fc7Ozkoxvvnmm0USH4UrV66gefPm0utGjRop3bk7fvw4\n3Nzc0KlTJ6Vxb7/9tlI5qk4yK4tiXUlJSdi/f7/au34dO3aEpaUltm/fLo3bsGEDhgwZolStqDSx\n5+fn4+eff4aJiYnS9nvRyZMnkZaWhj59+mDgwIHlPrEGgDp16qBv374ICwsDIJ6wDx8+XGmegwcP\nqvx+Dxw4ELdv3y7x+1wW5fnMx4wZg7i4OBw+fLhc6wwJCcGgQYPg4+ODf//9F+fOnVM5X25uLkJD\nQ2FrayvdIX+RJraVuv0iJCQE/fv3h7u7O/T09JSS/VWrVmH9+vXw8/ODs7MzfH19y7ze0goNDcWg\nQYPg6+uLAwcO4L///lOaXprP0MHBQakK+J49ezB9+vQyxdG/f3/8999/+Oeff6RxYWFhiIiIQGZm\nJrS1tdUeJ9Qp7nd/5syZSE1NRWxsLBITExEUFARA3E/69++PkSNHIiMjA35+fti5c6d0vDl//jwC\nAwOxZs0apKenY/To0fDx8SlS1VWhXbt2uHjxIjIyMuDv74+BAwcqzbt7924MHDgQWVlZ8Pf3x4gR\nI1CrVi3Ex8fj/PnziIyMxNq1a0uMGwA++eQTfPLJJ2Xa7oXdvn0bcrkc+vr6CA8PV3vn7cmTJzhz\n5gxatmwJALh8+TJ0dHSwbds2WFpaonnz5li5cmW541DYv38//P39sX37dqXjS2RkJM6fP4/Tp09j\n0aJF+PDDD7F582bcvn0bly9fVlm9HRCPU4qYiQAmeVQNDBkyBCtWrMCBAwfg7u4OCwsL6Sqr4op2\ngwYNpPkHDx4MuVyOunXrStWfVqxYgSFDhuD777+Hk5MT7O3tsX//fpXr69KlC7Zv345z587h3Xff\nhZmZGaZMmaLUbuTFE4f3339fisHX1xf29vZSu5uSTjJ+/fVXBAYGonXr1qhVqxYWLFiAP//8E7dv\n35bm+fzzz2FkZIRGjRqhW7duuHDhgsqyHj58KN2tBAAjIyMAQHZ2Npo3bw5zc3N8++23yMvLQ2Rk\nJI4fP650FwgQq4hkZWVh8ODBSidnqspWtFNUVIs9ePAgrly5gqNHj2Lz5s3SQbZ3795Yu3Ytbt26\nhaysLKk95OPHj6UyXixb0WbvxfW+OP1FmZmZMDQ0VBrXtWtXHDt2DIIgIDo6Gh07doSbmxuOHz8O\nQRBw6tQpdO3aVWkZMzMzyOVyadi8eXOpqu+pkpKSolSWqalpke2uIAgC+vXrByMjIzRu3Bi2trbF\ntt8cPny4VF1OURU5ICCgSHmF11/45Of06dOQy+XQ09PDtGnTsGfPniLbr7CQkBB4e3ujTp06GDhw\nIPbv34+7d++WdZMUiT8rKwvHjx9Hv379lKbfv39f6Yq8gmKcurta5dGmTRul7bRo0aISP3N9fX3M\nnDlT7WdU3Gd/+/ZtREVFYeDAgTA0NISnp2eR6rdbt26VTlzXrl2Lffv2qY2lIrdVcfvF48eP8dtv\nv0ntPgcMGKAUt5WVFb766iscOnQIP/74Y6nXWVYnT55EcnIyfHx8YG9vD0dHR2zatEmaLggClixZ\norT933zzzSKfqaGhoXQ3ubwaNmwIAEoX8iZMmAArKyvpjlBxxwlV1P3u29raokePHtDV1YWZmRk+\n/fRTqR3k6dOnkZ+fj/Hjx0NbWxv9+/eXqq4DwE8//YTRo0fjrbfegkwmw/Dhw1G7dm2cPn1aZQxD\nhgyBXC6HlpYWJk+ejKdPnyolsp06dYKPjw8AsQprREQEli1bBj09PdSvXx+TJk2SLuIUFzcA/PDD\nD/jhhx/KsNWVNW7cGBkZGbh37x7efPNNtVUbP/74Y7Ru3RoeHh4AxONXVlYWrl+/jps3b+K3335D\nUFDQS7Wz3LJlCz7++GPs378frq6uStOmT58utVtv1aoV3nnnHdjY2MDIyAjvvPMOzp8/X6S8S5cu\n4euvv8a3335b7pio+mGSR688bW3tIu2r8vLyoKurK7329/fHwYMHkZWVhVWrVmHWrFmIjIyUqgAV\nrt4YFhaGjIwMtGnTRkrM6tSpgxkzZuDs2bO4f/8+fH19MXDgQLV3uHr37o3du3cjIyMDu3btwi+/\n/KJ0NfJFoaGhcHFxkU4krly5IlUFLIni7p1C3bp1Ua9ePSQnJ0vjCiex+vr6UmL0IgMDA6VOOhRV\nYQwNDaGrq4udO3ciPDxc6tzE19cX1tbWRcrR19fHwoULERcXh0uXLqkt28DAAACgp6cHQDx4GRkZ\noUmTJhg9erR0QqroeMHd3R2tWrVC9+7dAQDW1tZSGS+WrTihfHG9iumKBPZFcrm8yPxvv/02jh8/\njsuXL+ONN95AnTp10LlzZ2nckydPitwtU7RNVAz+/v7lvpvXsGFDpbLS09OlbfYimUyGXbt24cGD\nB4iKisKRI0dw9uxZtWUPHToUR48eRWpqKn777TfY2dkp3RVVlFd4/YGBgdL0Dh06SON9fHyK7ZDo\nyZMnSif3rVu3ho2NjdKJdVnIZDJ07twZd+/exTfffCMlj4WZmZkhJSWlyLKK77yZmRl0dHQAQOXv\nSK1atUodz/nz55W20+eff16qzzwwMBBpaWnYu3cvAOULO8V99hs2bEDLli2lamQDBw7Epk2blGor\nDBo0SGpn1LJlS6xYsUJtHC+7rQr/5ha3X+zYsQO6urro0aOHFHdERIRSEuno6Ai5XK5U9fZFL/u5\nhYSEwMPDQ/qtePHOskwmw7Rp05S2/6VLl4p8ptnZ2VJV//JS/F4rquQDkKr+KZT1OKHudz8tLQ2D\nBw+GtbU1jI2NMWzYMKmclJQUqdqiqjhu3bqFpUuXKiW+SUlJSsfQwpYsWQJHR0eYmJhALpcjKytL\n6XMufPy4desW8vLyYGlpKZX98ccfSxeBiou7IsnlcixZsgR79uwpciyYNm0aYmJisHXrVmmc4vs4\ne/Zs1K5dG61atcLgwYOLvaBSkuXLl2PQoEEqq3gW/k7o6ekVef3i8f3ff/9Fnz59sHz5cnTu3Lnc\nMVH1wySPXnmNGzdGQkKC0riEhATY2NgUmVdbWxvvv/++VJ3PwcEBVlZWJXYqUJihoSFmzJiBR48e\n4ebNmyXO3717d3Tv3l2qHvjiVeBbt27ho48+wg8//ID09HRkZGSgZcuWSlUVi9OwYUOlOBRtxV48\nUJeGk5OT0l2+ixcvwsLCQmob16pVK0RFReHevXuIiIhAfHy80lXewvLz81FQUAB9fX21ZSuqjjRv\n3lzlSZnivctkMgQFBSEhIQG3b9+Go6MjrK2tYWVlBblcDktLS7VlOzk5SYmmwqVLl+Dk5KQybmdn\nZ8TFxSmNc3Nzw8WLFxEeHi61e3FyckJiYiLCw8PRrl27MiUDleXtt9/G+PHjldr6vKhJkyZwc3PD\nxo0bsXHjRqW7eGVRt25d/Pjjjzh27FiR3hEVduzYgQcPHmD06NGwtLSEpaUlEhMTX6rKJiAmqt99\n912RqpoA0LNnT2zfvr3IifnWrVvRuHFj2Nvbw9LSErq6ukV+R27cuKF0AaWsSpvU16pVC3PmzMGs\nWbPKdCEgNDQU169fl7blpEmTcO/ePaX2YYry6tWrh59++gk//fST2u7ZNbGtVO0XISEhyM7OhrW1\nNSwtLTFgwADk5eWVOdl/mc/tyZMn2Lp1K44cOSJtv6VLl+LixYtKvxelqYIbGxuL1q1blyn2F+3Y\nsQMWFhZKVVoL//aXdJwoDUV5X3zxBbS1tXHlyhVkZWVhw4YN0gVNS0tLpQuEAJRqhTRu3BgzZ85U\nSnwfPnyIQYMGFVnfiRMn8O2332Lbtm3IzMxERkYGjI2NlWIu/B4bNWqE2rVrK10gy8rKktr8FRd3\nWZV0XM3Ly4OWlpZ0FxUQO1c5cOAAIiMjpYuLAIo0ByjtOoqzbds27NixQ6mTq/K4desWevXqhdmz\nZ2PIkCEvVRZVP0zy6JU3aNAgfPPNN0hOTkZBQQEOHTqEvXv3Sr3IhYSEYN++fcjOzkZBQQEiIiJw\n9epVtG/fHjKZDEuXLsXcuXOxdu1aZGRkQBAEXL9+Xamtw9dff42zZ88iNzcXOTk5CA4OhlwuV9n2\naPfu3diyZYtUVnR0NI4dO4YOHToAEK/CFT7JevToEWQyGczMzFBQUICff/5ZqZ2bhYUFkpKSlK5W\nF+5EwM/PDz///DMuXryIp0+f4osvvkCHDh3QuHFjlduruJOC4cOHY926dYiNjUVGRga+/vprpSor\nly9fRk5ODh4/fowlS5YgLS1N6oXx0KFDuHDhAvLz8/HgwQNMnjwZzZs3l3ohHT58OL777jukpKQg\nOTkZ3333nbSsvr4+Bg0ahMWLF+Phw4dISkrCmjVr8O677wIQG7bHx8dDEATExMRgypQpmD17tlLc\n33zzDTIzMxEbG4u1a9dKZbu7u0NbWxvLly/H06dPsXz5cmhpaUl3A1/Up0+fIkmKnZ0dzM3NERwc\nLLWNkMlkaN++vdK44lR2pysKkyZNQnR0dLHVfwMCArBixQqcOnVK5YlAaeOSy+X46KOPsHDhQpXT\nQ0JCEBgYiCtXruDixYu4ePEi/vjjD1y8eLFI286SFP4OTJgwAYcOHVLqeEIx7dNPP5U6c0hLS0NO\nTg42b96M+fPnS1WXtLW1MWDAAMycORPp6enIy8vD5s2bce3atVJ3QPOyhg0bhpycHOzfv79UJ4d/\n/vknbty4gTNnzkjb8sqVK/D39y9SZVOhWbNm8Pb2VltlS1PbqvB+kZycjCNHjiA8PFyK++LFi/js\ns8/Uxq3Oy3xuO3fuhI6ODmJjY6UYYmNj4ebmJsVR2v3+2LFjSutzd3cv0kX/ixRlp6Wl4fvvv8dX\nX32FBQsWqJ2/pONESQq/l4cPH6Ju3bowMjJCcnKy0v7QsWNHaGtr4/vvv8ezZ8+wa9cunDlzRpr+\n4YcfYtWqVYiOjoYgCHj06BHCw8NV1g7Jzs6Gjo4OzMzMkJubi6+++qrInbHCLC0t4eHhgcmTJ0vH\n6/j4eKnTkeLiLo1nz54hJycH+fn5yMvLQ05OjpQk7tixA3FxcSgoKMDdu3cxefJk9OnTR0ryFixY\ngM2bN+PgwYPSRU8FW1tbuLm5Yd68ecjNzUVsbCy2bNkiHb8AICcnR2qL+PTpU6W2+qo0bNgQhw8f\nRnBwcInPYSz82Rb+Pzk5Gd27d8e4cePw0UcflWILUU3DJI9eebNnz0anTp3QpUsXmJqa4vPPP8em\nTZukag5GRkaYP38+mjRpArlcjs8//1zqThsQ2zZs3boVGzduROPGjVG/fn0MGjQIo0ePlqqVaWlp\n4YMPPkD9+vVhZWUldeutuEtVmFwux5o1a9CsWTOpSsn06dOlbuADAwMRExMDuVyO9957D46Ojpgy\nZQo6duyIBg0a4MqVK+jSpYtUXo8ePeDk5IQGDRrA3NwcgHLHKz169MDXX3+NAQMGoGHDhkhISJDa\nMCjmLay4bsE9PT0xffp0dOvWDTY2NrC1tVU6WdmwYQMaNmwICwsLHD16FAcPHpSqaGVmZsLPz0/q\nYOHu3btK3YqPHj0a3t7eaNWqFZydneHt7a104Pn+++9hYGCAhg0bolOnThgyZIiUYN67dw9eXl4w\nMDBAnz59EBgYKPWQCgBz586Fra0tmjRpgm7duuGzzz6T2kvUqlULO3fuRGhoKORyOUJDQ6UTPFVc\nXFxgbGwsPbtLoWvXrrh3755SdRc3NzfcvXu3SJKnavu+uN1LM49iXEpKSpFnpZXmeXSAWMUuICBA\nqi6nah0DBgxARkYGevToobJ6nLe3t9K6FZ1zqCpr0qRJOHr0aJG7p4qT+0mTJsHc3Fwa2rRpg969\ne5f5BL/wuuVyObp161ZkOiBWfzt58iRycnLg6OgIMzMz/O9//8PGjRul7zcArFy5EqampnB2doaF\nhQVWrlyJ8PBw1K9fX+16Va2vNPOqWkZLSwtfffWV1CZLQdVnv337doSGhqJfv35wcnKStqWFhQUm\nTpyI8PBwZGRkqFz/tGnTEBoaWqSDkYrcVsXtFxs3boSLiwt69uypFPeECRNw+fJlpWeTlSbZLe/n\nFhoaipEjR8La2lopjnHjxklVXkvzWSs6ASncFjQpKUnpN1wVExMTGBgYwNnZGfv378dvv/0mXZhS\npaTjREm/L4Vfz5kzB+fOnYOxsTG8vb0xYMAAaXqtWrWwfft2rFu3DnK5HL/++iveffddqaZC27Zt\nsWbNGowbNw6mpqawt7dX+93t3bs3evfujWbNmsHGxgZ6enpKFx9Vbd/Q0FDk5ubC0dERpqamGDhw\noPRst+LiBsROjMaMGaN2G44aNQr6+voICwvDvHnzoK+vL7W7T05ORu/evaVn3MnlcqUaBjNnzkRi\nYiLs7Oyk72Hhi1mbN2/GrVu3UK9ePbz77rv45ptvpN+kmzdvQl9fHy1btoRMJoOenh5atGihNk7F\ne2rUqBEOHz6MhQsXYv369UrTVM3/4jZdu3YtEhISEBQUJMWsrpkC1UwyoTK7hCMiegUcPHgQK1eu\nLHUiRUQ109SpU2FnZ4ePP/4YgJjgDR48WOlRAa+79u3bY+zYseWuyk1Er6ZKSfLy8/Ph6uoKa2tr\n7NmzB+np6Rg0aBBu3boFGxsbbN26VWrUvGDBAqxfv16qfqW4Wk9EREREL+f48eNo1qwZzMzM8Ouv\nv2Ls2LGy0WjiAAAgAElEQVS4ceNGsZ3gENHrp1KqawYHB8PR0VG6xbxw4UL06tULcXFx6NGjh3RL\nPCYmBlu2bEFMTAz279+PsWPHlrvRLREREREp++eff6SHnS9btgy//fYbEzyi6kjQsMTERKFHjx7C\nkSNHhHfffVcQBEFo3ry5cOfOHUEQBCE1NVVo3ry5IAiCMH/+fGHhwoXSsp6ensKff/6pVB4ADhw4\ncODAgQMHDhw4cKjRQ3E0fifv008/xbfffgstreerSktLk64aWVhYSL0cpqSkKD1TxdraukhXvwCk\nXtc4cChpmDNnTpXHwOH1Gbi/KA8zPTxUHlW+9PSs8tiqeuC+wqEsA/cXDqUduK9wKO1QEo0meXv3\n7oW5uTlcXFzUBlOW3smIiKjy6KjpBlw7J6eSIyEiIqKyUN3HeAU5deoUdu/ejX379iEnJwcPHjzA\nsGHDYGFhgTt37qBBgwZITU2Vuo23srJCYmKitHxSUlK5HvhMREQv71mhBwUXll+nTiVHQkRERGWh\n0Tt58+fPR2JiovRcr+7du2PDhg3w8fGRnk8SEhIiPX/Gx8cHYWFhyM3NRUJCAq5fv4527dppMkSq\n5tzd3as6BHqNcH9R5jFhAmba2iqN+8LWFr3Gj6+iiF4d3FeoLLi/UGlxX6GKUmnPyTt27BiWLl2K\n3bt3Iz09Hb6+vrh9+3aRRyjMnz8f69evh46ODoKDg+Hp6akcsExWqnqoRET08o6Hh+PgihXQzslB\nfp066DV+PN728qrqsIiIiGq0knKi1+5h6EzyiIiIiIioJispJ6qU5+QRERERERFR5WCSR0RERERE\nVI0wySMiIiIiIqpGmOQRERERERFVI0zyiIiIiIiIqhEmeURERERERNUIkzwiIiIiIqJqhEkeERER\nERFRNcIkj4iIiIiIqBrRaJKXk5OD9u3bo3Xr1nB0dMSMGTMAAEFBQbC2toaLiwtcXFwQEREhLbNg\nwQLY29vDwcEBkZGRmgyPiIiIiIio2pEJgiBocgWPHz+Gvr4+nj17hi5dumDJkiU4fPgwDA0NMXny\nZKV5Y2Ji4O/vjzNnziA5ORk9e/ZEXFwctLSe56IymQwaDpmIiIiIiOiVVVJOpPHqmvr6+gCA3Nxc\n5OfnQy6XA4DKoHbt2gU/Pz/o6urCxsYGdnZ2iI6O1nSIRERERERE1YaOpldQUFCANm3aID4+HmPG\njIGTkxN+++03rFixAqGhoXB1dcXSpUthYmKClJQUdOjQQVrW2toaycnJRcoMCgqS/nd3d4e7u7um\n3wYREREREVGViIqKQlRUVKnn13h1TYWsrCx4enpi4cKFcHR0RP369QEAs2bNQmpqKtatW4fx48ej\nQ4cOGDJkCABg1KhR6NOnD957773nAbO6JhERERER1WBVXl1TwdjYGF5eXjh79izMzc0hk8kgk8kw\natQoqUqmlZUVEhMTpWWSkpJgZWVVWSESERERERG99jSa5N27dw+ZmZkAgCdPnuDgwYNwcXHBnTt3\npHl27NiBVq1aAQB8fHwQFhaG3NxcJCQk4Pr162jXrp0mQyQiIiIiIqpWNNomLzU1FQEBASgoKEBB\nQQGGDRuGHj16YPjw4bhw4QJkMhmaNm2K1atXAwAcHR3h6+sLR0dH6OjoYOXKlZDJZJoMkYiIiIiI\nqFqptDZ5FYVt8oiIiIiIqCZ7ZdrkERERERERkeYxySMiIiIiIqpGmOQRERERERFVI0zyiIiIiIiI\nqhEmeURERERERNUIkzwiIiIiIqJqhEkeERERERFRNcIkj4iIiIiIqBphkkdERERERFSNMMkjIiIi\nIiKqRjSa5OXk5KB9+/Zo3bo1HB0dMWPGDABAeno6evXqhWbNmsHDwwOZmZnSMgsWLIC9vT0cHBwQ\nGRmpyfCIiIiIiIiqHZkgCIImV/D48WPo6+vj2bNn6NKlC5YsWYLdu3fDzMwM06dPx6JFi5CRkYGF\nCxciJiYG/v7+OHPmDJKTk9GzZ0/ExcVBS+t5LiqTyaDhkImIiIiIiF5ZJeVEGq+uqa+vDwDIzc1F\nfn4+5HI5du/ejYCAAABAQEAAdu7cCQDYtWsX/Pz8oKurCxsbG9jZ2SE6OlrTIRIREREREVUbOppe\nQUFBAdq0aYP4+HiMGTMGTk5OSEtLg4WFBQDAwsICaWlpAICUlBR06NBBWtba2hrJyclFygwKCpL+\nd3d3h7u7u0bfAxERERERUVWJiopCVFRUqefXeJKnpaWFCxcuICsrC56enjh69KjSdJlMBplMpnZ5\nVdMKJ3lERERERETV2Ys3tubOnVvs/JXWu6axsTG8vLzw999/w8LCAnfu3AEApKamwtzcHABgZWWF\nxMREaZmkpCRYWVlVVohERERERESvPY0meffu3ZN6znzy5AkOHjwIFxcX+Pj4ICQkBAAQEhKCfv36\nAQB8fHwQFhaG3NxcJCQk4Pr162jXrp0mQyQiIiIiIqpWNFpdMzU1FQEBASgoKEBBQQGGDRuGHj16\nwMXFBb6+vli3bh1sbGywdetWAICjoyN8fX3h6OgIHR0drFy5stiqnERERERERKRM449QqGh8hAIR\nEREREdVkVf4IBSIiIiIiIqo8TPKIiIiIiIiqESZ5RERERERE1QiTPCIiIiIiomqESR4REREREVE1\nwiSPiIiIiIioGmGSR0REREREVI2UK8mbOnVqRcdBREREREREFaBcD0Nv1KgREhMTNRFPifgwdCIi\nIiIiqsn4MHQiIiIiIqIaRG2Sl56ernK4f/8+CgoKSlV4YmIiunXrBicnJ7Rs2RLLly8HAAQFBcHa\n2houLi5wcXFBRESEtMyCBQtgb28PBwcHREZGvuTbIyIiIiIiqlnUVte0sbGBTCZTu2BCQkKJhd+5\ncwd37txB69at8fDhQ7Rt2xY7d+7E1q1bYWhoiMmTJyvNHxMTA39/f5w5cwbJycno2bMn4uLioKX1\nPBdldU0iIiIiIqrJSsqJdNRNiIuLQ61atV5q5Q0aNECDBg0AAAYGBmjRogWSk5MBQGVQu3btgp+f\nH3R1dWFjYwM7OztER0ejQ4cOSvMFBQVJ/7u7u8Pd3f2l4iQiIiIiInpVRUVFISoqqtTzq72T5+rq\nCmtra/Tu3Ru9e/eGjY3NSwV28+ZNdO3aFVevXsXSpUvx888/w9jYGK6urli6dClMTEwwfvx4dOjQ\nAUOGDAEAjBo1Cu+88w4GDBjwPGDeySMiIiIiohqs3B2vnD17FsuWLYMgCJg0aRJcXV0xadIkREZG\n4unTp2UK4uHDh3j//fcRHBwMAwMDjBkzBgkJCbhw4QIsLS0xZcqUYt8AERERERERlU6xvWs2bdoU\nY8aMwc6dO3Hq1Cl4e3vj0KFDcHNzg5eXV6lWkJeXhwEDBmDo0KHo168fAMDc3BwymQwymQyjRo1C\ndHQ0AMDKykrp0QxJSUmwsrIq73sjIiIiIiKqcdRW1/zvv/9w9+5dODk5KY2/evUq6tevj9zcXFhb\nWxdbuCAICAgIQL169bBs2TJpfGpqKiwtLQEAy5Ytw5kzZ7Bp0yap45Xo6Gip45V///1X6W4eq2sS\nEREREVFNVu6OV8aPH4+xY8cWGX///n3MmzcPmzZtKnHlf/zxBzZu3AhnZ2e4uLgAAObPn4/Nmzfj\nwoULkMlkaNq0KVavXg0AcHR0hK+vLxwdHaGjo4OVK1eyuiYREREREVEZqL2T17ZtW/z9998qF3Jy\ncsLVq1c1Gpg6vJNHREREREQ1Wbk7XsnOzla7UF5e3stFRURERERERBqhNsmzs7NDeHh4kfH79u2D\nra2tRoMiIiIiIiKi8lFbXTMuLg7vvvsuOnXqhLZt20IQBPz99984deoU9u7di+bNm1d2rABYXZOI\niIiIiGq2knIitUkeAOTk5GDTpk1S+zsnJyf4+/ujTp06FR9pKTHJIyIiIiKimuylkrxXEZM8IiIi\nIiKqycrd8QoRERERERG9fpjkERERERERVSNM8oiIiIiIiKoRnZJmaNWqVZE6n8bGxnjrrbfw5Zdf\nol69ehoNkIiIiIiIiEqvxDt5vXv3hpeXFzZt2oRff/0V3t7ecHV1hYWFBUaMGFHssomJiejWrRuc\nnJzQsmVLLF++HACQnp6OXr16oVmzZvDw8EBmZqa0zIIFC2Bvbw8HBwdERka+3LsjIiIiIiKqYUrs\nXdPFxQXnz59XOa5Vq1a4fPmy2mXv3LmDO3fuoHXr1nj48CHatm2LnTt34ueff4aZmRmmT5+ORYsW\nISMjAwsXLkRMTAz8/f1x5swZJCcno2fPnoiLi4OW1vNclL1rEhERERFRTfbSvWvm5+fjr7/+kl5H\nR0ejoKAAAKCjU3xtzwYNGqB169YAAAMDA7Ro0QLJycnYvXs3AgICAAABAQHYuXMnAGDXrl3w8/OD\nrq4ubGxsYGdnh+jo6JJCJCIiIiIiov9XYpu8devW4YMPPsDDhw8BAIaGhli3bh0ePXqEGTNmlHpF\nN2/exPnz59G+fXukpaXBwsICAGBhYYG0tDQAQEpKCjp06CAtY21tjeTk5CJlBQUFSf+7u7vD3d29\n1HEQERERERG9TqKiohAVFVXq+UtM8t566y1cuXIFWVlZAMROVxR8fX1LtZKHDx9iwIABCA4OhqGh\nodI0mUwGmUymdllV0woneURERERERNXZize25s6dW+z8JSZ5GRkZCA0Nxc2bN/Hs2TMAYuKl6ESl\nJHl5eRgwYACGDRuGfv36ARDv3t25cwcNGjRAamoqzM3NAQBWVlZITEyUlk1KSoKVlVWp1kNERERE\nRESlaJPXp08f3Lp1C87OznB1dUXbtm3Rtm3bUhUuCAICAwPh6OiISZMmSeN9fHwQEhICAAgJCZGS\nPx8fH4SFhSE3NxcJCQm4fv062rVrV573RUREREREVCOV2LtmmzZtcO7cuXIVfvLkSbz99ttwdnaW\nql0uWLAA7dq1g6+vL27fvg0bGxts3boVJiYmAID58+dj/fr10NHRQXBwMDw9PZUDZu+aRERERERU\ng5WUE5WY5C1ZsgRGRkbw9vZG7dq1pfGmpqYVF2UZMMkjIiIiIqKarKScqMQ2eXXq1MG0adMwb948\n6Xl1MpkMN27cqLgoiYiIiIiIqEKUeCevadOmOHPmDMzMzCorpmLxTh4REREREdVkL/0wdHt7e+jp\n6VVoUERERERERKQZJVbX1NfXR+vWrdGtWzepTV5ZHqFARERERERElafEJK9fv37o16+f1DumIAjF\nPryciIiIiIiIqk6JbfJeNWyTR0RERERENdlLt8kjIiIiIiKi1weTPCIiIiIiomqESR4REREREVE1\nUmLHKy/64osvYGxsjFGjRqFevXqaiImIiIiIiIjKqcx38t566y1oa2tj0qRJpZp/5MiRsLCwQKtW\nraRxQUFBsLa2houLC1xcXBARESFNW7BgAezt7eHg4IDIyMiyhkdERERERFSjabx3zRMnTsDAwADD\nhw/H5cuXAQBz586FoaEhJk+erDRvTEwM/P39cebMGSQnJ6Nnz56Ii4uDltbzXJS9axIRERERUU1W\nUk6ktrqmt7d3iYWbmpoiJCSk2Hnc3Nxw8+bNIuNVBbVr1y74+flBV1cXNjY2sLOzQ3R0NDp06KA0\nX1BQkPS/u7s73N3dS4yViIiIiIjodRQVFYWoqKhSz682ybt27RrWrl2rMhlTZI6ffPJJuYIEgBUr\nViA0NBSurq5YunQpTExMkJKSopTQWVtbIzk5uciyhZM8IiIiIiKi6uzFG1tz584tdn61Sd4333yD\nrl27Frvw7Nmzyxbd/xszZoy07KxZszBlyhSsW7dO5bwymaxc6yAiIiIiIqqJ1Ha84uPjg//++6/I\n+P/++w9PnjwBAAwaNKhcKzU3N4dMJoNMJsOoUaMQHR0NALCyskJiYqI0X1JSEqysrMq1DiIiIiIi\noppIbZI3YcIEnDhxosj4kydPFukwpaxSU1Ol/3fs2CH1vOnj44OwsDDk5uYiISEB169fR7t27V5q\nXURERERERDWJ2t4127Rpg3PnzqlcyNHRETExMaVagZ+fH44dO4Z79+7BwsICc+fORVRUFC5cuACZ\nTIamTZti9erVsLCwAADMnz8f69evh46ODoKDg+Hp6akcMHvXJCIiIiKiGqyknEhtkufg4IBr166p\nXKi4aZrGJI+IiIiIiGqyknIitdU1zc3N8ddffxUZHx0dDXNz84qJjoiIiIiIiCqU2jt50dHR8PX1\nxYgRI9C2bVsIgoC///4bISEhCAsLK/LsusrCO3lERERERFSTlbu6JgCkpaXhhx9+wNWrVwEATk5O\nGDduXJXeyWOSR0RERERENdlLJXkA8OTJE/z7778AADs7O+jp6VVshGXEJI+IiIiIiGqycrfJy8vL\nw/Tp09GoUSMEBAQgICAAjRo1wrRp05CXl6eRYImIiIiIiOjlqE3ypk2bhvT0dCQkJODcuXM4d+4c\nbty4gczMTEydOrUyYyQiIiIiIqJSUltd087ODnFxcdDSUs4D8/Pz0bx5c6kKZ2VjdU0iIiIiIqrJ\nyl1dU0tLq0iCBwDa2toqxxMREREREVHVU5uttWjRAiEhIUXGb9iwAQ4ODhoNioiIiIiIiMpHbXXN\npKQkvPfee9DT00Pbtm0BAH///TceP36MHTt2wNraulQrGDlyJMLDw2Fubo7Lly8DANLT0zFo0CDc\nunULNjY22Lp1K0xMTAAACxYswPr166GtrY3ly5fDw8NDOWBW1yQiIiIiohrspR+hcOTIEek5eY6O\njujRo0eZAjhx4gQMDAwwfPhwKcmbPn06zMzMMH36dCxatAgZGRlYuHAhYmJi4O/vjzNnziA5ORk9\ne/Ys0i6QSR4REREREdVk5W6T9+TJEyxbtgy///47atWqhY8//rjMCR4AuLm5QS6XK43bvXs3AgIC\nAAABAQHYuXMnAGDXrl3w8/ODrq4ubGxsYGdnh+jo6DKvk4iIiIiIqKbSUTchICAAtWrVgpubGyIi\nIhATE4Pg4OAKWWlaWhosLCwAABYWFkhLSwMApKSkoEOHDtJ81tbWSE5OLrJ8UFCQ9L+7uzvc3d0r\nJC4iIiIiIqJXTVRUFKKioko9v9okLzY2VqpeGRgYiLfeeuulg1NFJpNBJpMVO/1FhZM8IiIiIiKi\n6uzFG1tz584tdn611TV1dHRU/l8RLCwscOfOHQBAamoqzM3NAQBWVlZITEyU5ktKSoKVlVWFrpuI\niIiIiKg6U5vkXbp0CYaGhtJw+fJl6X8jI6OXWqmPj4/0eIaQkBD069dPGh8WFobc3FwkJCTg+vXr\naNeu3Uuti4iIiIiIqCZRe4suPz+/Qlbg5+eHY8eO4d69e2jUqBG++uorfP755/D19cW6deukRygA\nYu+dvr6+cHR0hI6ODlauXFlsVU4iIiIiIiJSVuIjFF41fIQCERERERHVZOV+hEKbNm1KLLw08xAR\nEREREVHlUXsnT09PD3Z2dsUunJWVhdu3b2skMHV4J4+IiIiIiGqyknKiYh+hUJKK7nWTiIiIiIiI\nXg7b5BEREREREb1Gyt0mj4iIiIiIiF4/TPKIiIiIiIiqETaqI6ogx8PDEbl8OXSePsWz2rXhMWEC\n3vbyquqwSu11j5+IiIiIREzyiCrA8fBwHJg4EfPi46VxM////9chUXrd4yciIiKi51hdk6gCRC5f\nrpQgAcC8+HgcXLGiiiIqm9c9fiIiIiJ6jkkeUQXQefpU5XjtnJxKjqR8Xvf4iYiIiOi5Kq2uaWNj\nAyMjI2hra0NXVxfR0dFIT0/HoEGDcOvWLdjY2GDr1q0wMTGpyjCJSvSsdm2V4/Pr1KnkSMrndY+f\niIiIiJ6r0jt5MpkMUVFROH/+PKKjowEACxcuRK9evRAXF4cePXpg4cKFVRkiUal4TJiAmba2SuO+\nsLVFr/Hjqyiisnnd4yciospx9CiwcyeQklLVkRBRcar0YehNmzbF2bNnUa9ePWmcg4MDjh07BgsL\nC9y5cwfu7u64du2aNJ0PQ6dX1fHwcBxcsQLaOTnIr1MHvcaPf606LXnd4yciIs364w/gvfcAV1cg\nOhqoXRto104c3npLHG9sXNVREtUMJeVEVZrkvfHGGzA2Noa2tjZGjx6NDz/8EHK5HBkZGQAAQRBg\namoqvQbENzRnzhzptbu7O9zd3Ss7dCIiolfWX38Bly8DTZuKQ6NGgK5uVUdFr7M7d8QkbvVqwMsL\nEATg5k0x2VMM58+L+5oi8WvXDnB2FpNBqnn4aKaKFRUVhaioKOn13LlzX90kLzU1FZaWlrh79y56\n9eqFFStWwMfHRympMzU1RXp6uvSad/KIiIjUu3EDaN8eeOcd4PZtICFBPEG3tARsbJ4nforBxgZo\n2BDQYldspMazZ0DPnkDXrsDcucXPd/WqcuKXkABs2SLuj1RzHA8Px77xE7EwodCjmWxt4RkczESv\ngrzSd/IKmzt3LgwMDLBmzRpERUWhQYMGSE1NRbdu3Vhdk4iIqBRyc4EuXQB/f2DSJOXxiYninZeE\nhOeD4rWWFrB9u5gcEr1o2jTxznB4OKCtXbZlT58GfHyAXbuAjh01Ex+9emZ6eGLewcgi4wNbeeL7\nv/ZDT68KgqpmSsqJqqx3zcePHyM/Px+GhoZ49OgRIiMjMWfOHPj4+CAkJASfffYZQkJC0K9fv6oK\nkYiI6LXy5ZeAhQUwcaLy+Fq1AFtbcVBlzx7g3XeB5csBPz/Nx0mvjpKq1P32mzicPVv2BA8AOnQA\nQkOB/v2Bw4cBJ6cKDJ5eWTevqn40U0ZSDqytxQtRH34oVuclzaiyJC8tLQ39+/cHADx79gxDhgyB\nh4cHXF1d4evri3Xr1kmPUKjOrl0DGjcG9PWrOhIiInqd7d8PbN4stouSycq2rLe3eALu4wPExgJB\nQay+WRMcDw/HgYkTMS++UJW6////bS8vXLsGjBkj7luF+sgrs969gWXLxL8nTohVhKn6+uEHICVL\ndUNMp3Z1sGw1sH692LbT0lJM9gYPBgwNKznQau6Vqa5ZWtWpumZYGDB6tJjgTZ/+/H8iIqKySE0F\n2rQRjytdu5a/nP/+E++4NGwIhITwmFTdfenpiW8ii1apm+Xpienb9qN9e2DKFCAwsGLW9/334t3i\nkycBc/OKKZNeLQcPAsOHA//7JhyXFihfQPjC1ha9C7XJy88HDhwA1q4VH83x3nvAxx+LPbVSyUrK\niXidrors3i22lzh5UrxCdvKkWI1m2TLg8eOqjo6IqtLx8HB86emJIHd3fOnpiePh4VUdEr3C8vOB\noUPFC4Uvk+AB4on34cOAnh7w9ttAcnLFxEivJp2nqqvUaefkIDAQ6NSp4hI8ABg3TqwO3Ls38OBB\nxZVLr4a4OPG3aMsWYFCgFzyDgzHL0xNBXbtilqenUoIHiNV/+/QR2wPHxgLNmomJ3oQJwJMnVfhG\nqgneyasChw6JdZHDw5WvVly8CHz1FXDqFO/sEdVUKqtPsUcyKsb8+eLV8MOHAZ0KaoQhCMCiReKd\nl507xa7zNY3drVc+dXfyhjl4Irbufpw8CdSpU7HrFAQx2YuJASIiKr58qhoZGWL7y2nTgFGjXq6c\nsWPFc+JffwVcXCouxuqmxJxIeM28hiErOXFCEMzMBOH4cfXzXLggCO+9JwgNGgjC0qWC8OhR5cVH\nr66YGEEYO1YQTp+u6khIk2Z6eAiCeB6kNHzp6VnVodEr6I8/BMHcXBASEzVT/vbt4jFryxbNlK9w\nbO9e4QtbW6V9/gtbW+HY3r2aXXENp2q7T2poK1gb7xUSEjS33mfPBGHQIEHo318Q8vI0tx6qHLm5\ngtCzpyBMmlRxZf76qyDUry8ICxeK+wsVVVJOxOqalejvv8Xb0L/+Cri5qZ/vzTeB338Xr8yeOiVW\n4/zuO1bjrKkKCsQ2DG+/LT5QdsAAcSj0ZBGqRoqrPkVUWEaGWCtkzRrA2loz6+jfH4iMBKZOFWua\naKoiTeTy5Up3rwFgXnw8Dq5YoZkVEgCxc5XCVeqmu3tiR04w1oR5abRzFG1tscfNhw/FNliveQWt\nGu/TT8VaBN9+W3Fl+vuLPbpGRADduomPe6GyYZJXSa5cEXsRWrMG8PAo3TLOzmK3xYWTvW+/FRvY\nU82QlCTuL5s3A3/+KSb7cXHis6zc3MQqEUlJVR0lVaRntVX3SJbPOk1UiCCI3/++fcUeMTXJxQX4\n6y9g3z7xxEsTbWV4caPqvO3lha/378fMg1E4lbcfIyd6oXdvza+3Vi2xLdbly8AXX2h+faQZP/4I\nHDkidvpUUdXFFRo3Fquhe3sD7doBGzbwgkBZMMmrBNevA56eYqcqffuWffnCyd6VK+IzZrp0Ecu7\nfbvi46VXw+bNYm953bqJXU7b2YnjFb2xxsUB9euLd36nTQPS0zUbDzsDqRweEyZg5gsPM/vC1ha9\nxo+voojoVbRqlfgQ88WLS7/My3yHLS3F3u9kMrFzl4q+uMSLG1Vv+nTA2Fh81qI65dmHilvGwEDs\nn2DnTmDp0op4F1SZjhwB5s4Vn7NpbKyZdWhri+c4kZHAwoXioxY0fb5TbVRStdEK87qFfPOmIDRp\nIghr11ZcmU+fCsK+fYIwcqQg1KsnCG+9JdZZvn694tZBVef+fbGtQosWgnD2bMnzJycLwkcfifvC\nvHmC8PBhxcfE9jKV69jevcKXnp7CnK5dhS89PbmdNejY3r3CTA8PYU7XrsJMD4/XYltfvCi2k/vn\nn9IvU1Hf4ag9e4XBdh5Cd62uQpfaHsLbLnuFSZMEYfVqsc35/ftlfDPFxDeDvzGVZvNmQWjaVBDS\n09XPU559qLTL3L4tCI0bC8Ivv1TUO6LSKu9vYFyc2B74yBENB1jI48eCMHGiIFhbC8LBg5W33ldV\nSTnR65UxCa9XkpeSIgh2doLwv/9pbh15eYJw6JAgjBkjCBYWguDsLAhz5wrC1auaW2dleh1PwF7G\ngQYUg6QAABjGSURBVAPij9fEieKPWVn8848gDBwoCA0bCsKPP4oNoSsKOwOhkryO39XX5eJF4W37\neQ8PoYX1XiE0tGxlVMR3WNX2mtjAVpjwwV7hgw8EoX17QTA0FARr472Ch9xD8G/YVRjm4CEsn7dX\niI8XhJycksvnxY3Kk5srCFFRgjB9unjR4Ny54ucvzz5UlmViY8XzmFmzBOGnn8TOfvbvFzsbi40V\nhNRU8bhYUPCy75wUSvMbqOq3PSNDEJo3F4RVqzQbm7pjSmSkIFhZiR29JCbW3M57SsqJKrj2LCnc\nuwf06gWMGAFMnKi59ejoAD16iMOKFWLbvd9/F6uHGhiIbbfq1wfMzMSh8P9mZoCJCaBVSZV2y9o9\ntsqu5P///+rSrbZim2g9eYqrt2rj/OMJ+HmzF3r2LHtZzZoBW7eKDZVnzBCrvkyZIrblNDcHLCzE\nz7w8deZfpr0Mu0Wv/l7X76q6zj5mrVhRYXG/7P6vatveNYhHE1MAKH05FdHmTdX2+t+deMxKWYHg\n/WIsx/aGY9+4iVh0Kx7IAJACjPg6Hsv+ByRlesHUVGxn06iR8tC4MWDb2gudw72grV3qkKiMUlLE\njiwiIsTHOdnbi88pO3IEaNWq+GXLsw+VZRkHB7FZSmio2AY0MxPIynr+V/E/IFYNNDER/9arJx7j\nFIOFhfLr+vVL95iGV/VYpcm4SvoNVPX780V8PGYZAR4eXhg9ukLCKKKkY0qvXuIjFiZOFNvq3bsn\n7gcNGxYdLC2f/1+/Psr8+/Kq7helwSRPA7KyxCTL27tyGxNra4udcbi5iR10nD0rtuG7d08crl17\n/v/du+LfR48AU9PnCaChIVC3bumHa2fCcWnrctR+9hT5dWrD7cMJ6PquF2rXFnuCVCSQ5TkJLO8J\nWFm+kCXNq8kvt6ptMqNpPGo9Bcpy8vYiV1fg4EHxAP7LL2J7zrQ04L//xHrsJiZFD4aKv3K58sFT\nMZS3vUxZPveK2tYV+flrIr7KVhlxV0aypAkVkfgUt30rIvlVtW3XPiz7tq2INm+l2V4HVywXE7xC\nfsmJx6yuKxAU7oU7d4DExOfD7dvixUnF6/R08ffI2Fi8UGloWPJgYADpmKMYLp8Kx5kNz49NPcdP\nQI++XpDJSv12i3jVjy2qyuzk6YXTp8VOcyIixO3dq5fYWc8PP4jburTKsw+VdZk33yy5bV5OjnIC\neP++eHxTDFeuKL9+dCccDlgOk1pP8axWbeS+MQHyxl7Q0xOTPz09IDslHHWPTcSqzOf77vjz8Tga\nADi1F89patWC9Lfw/6r+6uqiyL5Wns9c0xfQ1H2nhYc5OHcOCJ25HGtf+P2ZHx8Pr/or8N13mvtt\nL80xpV49YONGcdqzZ+JnnZKiPPz1l9hZoeJ1Rkbx57QGBsqv02+Ho2DPRHx/73ks/9fevcdFUe99\nAP8srIDkY6KPpmIeCAzkogdTszKl0pBWLbuY2DE9ShefFMwuZkGtJ8p8uj2ypifPUXpCU7KLZpu3\nLMUeEzv6hHXUtJE8gphiioDsAsucP6a9zO4Au7g318/79ZrXzs7+Fn4z853fbXZmnvxBwD/nAENu\nl2KoY0fpXgkdO1pjwFsnT9ril528zZs3Y86cOTCZTMjMzMS8efNkny9eLHVogoOlsxLmefMUFKQ8\nr/SZSiVN5vmWXpubpclkss639P4vfwFuvll6QO2lVCiXIihIGt0YOrT1dA0NUgFp7vjV1EgdP/vp\nzBnHZdXleiT8ko33G6zBP/kbAY+GAtXNGhiN0v4JDQUGGPOxu8nxgL09Q4eaOA06dIBlUqul17D9\nyoXPsR8MyMqyprONgdOCHqI+G0t/s/6vWfsF6CcCMQM1srTHSvU4W5iNxb9a0845IOC7x4GkYRoc\n/k6PX5Zl4+2T1s/n/ijgwCwgcZjG8fcnv09NTdLjLuyn+nr5+/Pb8vH5afk2WVjmvobxqFFwOCNo\nMlkrRHPHzzy/Z4/yyGl1NRBuysKxIAEfNFvz++fwGPxaNxuTJzseZ+bp1Of5+Phfjvt94mwdPt9p\nXcfTgh6h27PxbrU17WN7Bbw3Cugdp1E8zpWWHf9Rj+o12ci32a7ZBwR8OwNIuFEjS3v4Oz2OLcnG\nWzb796mDAoRngEEj5Wn379Rj/yvZ+G+bxutzRwRUVwPD0zWW9Te/7t6ix/Z3nK/MRREwGqXbidfV\nSa+28+bXixeBxkYpxpQm+88uVOgRsScby2226xP7BXwxUdoe5gaO+TU83LHSCwlpO9bc0VkymaTy\nqKHBuh4tHWPNzY7LzGWxydTyvO2ypiag8oJyA/R4VRiWL7emU6kc65CgIOCXH/Q4uyob+b/K423P\nI0D/IRp8/lI+3lVoqMzU6tAYprHUP+Z1Mq+X7Wv1SffcdfLOrCy8IAjyEfmYGIxx4YY+zjTYW4uF\n4GAgMlKahg1T/h8NDVKjrLpaqo9sp9pa6bW6Wrrxi+1yo9FmOqvHoFPZWG1T5zz4lYAJABpCpPLE\n/phVejXPq9VA0EU9BlXK67tpxQJeiAOu6in9TXOZdPFXPXqXZmNFrTXtI98K0N0MdL9Og3P/0uM/\nvpEfl4/vFVCYBkTGy8se+zZL+SE9KnfkI8xkRIM6FJF3ZCE2RYOyA3qc/0Be9s3YLeBBEeh1vQbp\n6dKD7W+8sf13QGxPDLkj7uyFhQE9e0pTW2SdpHoA9cCTpwT0vAvom6hBfb3Uady9PV/WwQMA3RkB\n41fpcOCYBg0NUmzZviotM782Nso7g51EPW65II/JqcUCnouV4se2DWTbFjq3LR+flivXoZu+keoU\nczliO9kub83hE8rH9JffhmHjn4F+LZQ/QxIMbr+Tpi1X6xS12nq2rjWNjS23c811re1U+VU+1lXJ\nt//blQJGL9Th70VS/JjbduZYamyUjlXzfgwJke9X+/e2bdmW5m2XmcskZ7a/33XyTCYTZs2ahS+/\n/BKRkZEYMmQIxo8fj/79+1vSCIK1ojZXwkoVe2uVvsnkWJnaNyBsX5UK/5bejxwJ5OX5roPnipAQ\n6VR2r16ufzcnLR95R+TB/0GzgNwROry8WeoENTZKhd5rY4zAbse/Meh6Aya+I6UzN+zM8xtPhAJV\njt9RXx2GmBjHBq7JBFR9k4+i3+R5WlIl4N7PdPitQSOLl5qv8vHZr/K0/3NKQPoSHbb8nwaqf+Rj\nyzn552+dFHDn6zp8NECjWLCqVNKBd9VVUoPZPLoTHi6NEPXoYV2+53sjcNpx/Tx5y/DgYOtZvKQk\n579nMGiw5SNg7nIdVHUGXAwKw/WjZyNtgKbF48tkAoxblQvqTioDunWzHiMV6/PxXrV8W797XsDk\nUh1Cf/8fRqPj37c99k0moGpzPjbYdZwXnxKgWa7Dru81srTq/3fcv2+WC7g9R4e3o+Tr1as8Hzvr\n5Wlf+0XAzVN1ONRJnja0UY80UzaKYE0/aauACSFSA9O+AVdfL1UuHTrIRxJtX83z4eHSMWsu4NVq\nqcFj+9524GPX2/myhiQAvFMlYMJnOlRc0MBgsFZM5orKvpIDlEc8Q0Ot5WNIqXJDoXh/GP74R+vg\nh20nzjxvfi+K1hFw8zooHV+2g3O2U2uDfErL1GqgMTgL08MFrLxo0zDuFIPqXrPx3XfW7WjfiTS/\nnt/mWIYsPiXgrmU6FO/XIPS4cvyf+tmAV16x1jnm+sN+gDEoCGg+5Z67TpoHGXJ1OgQbDDCFhWHM\n7NkuDSg502C/1DOGISHAH/7gdJYU5aTlI8+uYVwEATlpOuSslx+v9vtUaZnJBPw1Mx+LFc5Qzuyg\nw91zNLK6aPPL+fh7rTzt32oETD2hQ+I4DfZ87Xhc/vW8gIx9OohxGktZZ99++VXQo/OubLx/wabz\neELAwYNA80HHsm9FrYBnUnV4/Wv3nHFpTwy5I+4uhdIZobcrBeT+Q4eMPJuBxg+NwBHH7w+KM0D7\nsev/t7lZ3hFcdH8+3iiW5+N/DQL+q6MO9zyjsbR77NtCJd+0UIfCgM6dlQfBAPl8a66+MQszzwlY\nZlMXzouKwSLdbIwcC+SkhQJbHb/n6bveeupuux06SL9e69rVufTanUbguOPyWwYaoN2h/B1zfWG7\nP831nP17+8HZtpbZtnuamtrOv9918vbu3YvY2FhE/f4UzkmTJmHDhg2yTl7XrlrLfGpqKlJTU72b\nSQLQ9kiLSmUdyVJ1Uj5gO/5nWItnG7sEZ+GFbMcGxYzXZ2NEC/WDttgIlDkuHxBjgPZvdmlTjcAp\nx7Q3Jhqg3fr75zsdP795QMsHtysOF4YC/3Rc7o+3DA8LA+7+kwZ3/8m1ijlnYyjws+PyyH5hsD1B\nr/3CCBx1THd9bwNyc53/f9pUI3DScfmQBAO0nyukVdi/IwY57t+W0t55iwG77dLmpOUjb6u8Ml8L\nAc+P0OG5j+UdzeZm69kzT4yKlq9SPkYHxhigLXTubzQ0KI96Go3WjsjBkizM1Ql4q8LmrHefGDz0\n1GwMGmntWJk7ceZywTyiGRLi+nUS7qFBsV7eAJ3qQgO0pTJkaKIUby01kJJuDMPLm53LYbFeuRxs\nz5mQERrNJTWunWmwe+LMjataqpvUBoNT12Ypieig/Devucrg8Ey5H5cop43ubsATTwBn1hmBw46f\nx0UaoF3Qch5y0vKRd8Gx85ir1iH4eiOg8Azdq0T3Dhq2J4YuNe4uhbNnhNzdqfhmk/ynmaZzyg84\n7hFuaPXZyWUfhirWjZHXh2H+/HZlzY5jGaixOaZ9dTz7QzkCtC8uzIP9arU0yO9OO3bswI4dO5xO\n73edvIqKClx77bWW93369EFJSYksjVar9XKuSIkrwd+eA7Y9I4Cu5KmttJ5+bpO/FGKe5Ow6umtb\nu3P/tzdtS42KkEZp5NWb3LFdzZ2xiIiW06SmalCcJD9W7/HiaP2luJQGaFvb1x3HuK/PhCjlx5/P\n3ACeKbv9oW5prcNypT1n0Nnr25zdLu6sj5Wuo3uwhdZ+W/vHG+2E1o5pXx3P/lCOAP7XTrM/sbVg\nQSujQoD/PY/go48+EjMzMy3vCwsLxVmzZlne+2GWr1iuPtfIG7fHdiVPbaX1xnObroRbhjuzju7a\n1u7c/+1N60+Pm+CzxzzLme17JRzj/sYTce8PdUtrZcuVdKy78ugTV/ebO45Vpf20ExAf69ixXfuH\nZYhv+fP2b6tPpPo9kd/Ys2cPtFotNm+WfsuycOFCBAUFWW6+olKp4GdZvqIV6/XYZjPSMtoPRu9d\nyVNbaf1x/QKVu7a1O/d/e9Iq3nI6JgZjFi/2Sewwhj2L29c/eWK/+LpuaatsuVJiMSctDXlbHX8H\nnZuWhpc3O/4O2tvbRZuaCu1Ox9/3P5aYiB59+gT8/iHvaatP5HedvKamJsTFxWH79u3o3bs3hg4d\nijVr1liuyWMnj4j83ZXS2CIi72LZ0nInSjtyJLQuXK/kKa52Qonaq60+kd9dk6dWq7FkyRKkpaXB\nZDJhxowZspuuEBH5O1/eaICIAhfLFs9fL3+p/O06Lrpy+d2ZvLbwTB4RERHRlcnffhKvhGdcyRsu\nu59rtoWdPCIiIqIrFztRROzkERERERERBZS2+kRBXswLEREREREReRg7eURERERERAGEnTwiIiIi\nIqIAwk4eERERERFRAGEnj4iIiIiIKICwk0dERERERBRA2MmjgLZjxw5fZ4EuI4wXchZjhVzBeCFn\nMVbIXXzSydNqtejTpw9SUlKQkpKCTZs2WT5buHAh+vXrh/j4eGzdutUX2aMAwsKSXMF4IWcxVsgV\njBdyFmOF3EXti3+qUqkwd+5czJ07V7b84MGDKCoqwsGDB1FRUYFRo0bhyJEjCAriCUciIiIiIiJn\n+Kz3pPSE9g0bNiAjIwMdOnRAVFQUYmNjsXfvXh/kjoiIiIiI6PKkEpV6Wx62YMECFBQU4Oqrr8bg\nwYPx5ptvokuXLpg9ezaGDRuGhx56CACQmZmJ9PR03HfffdYMq1Tezi4REREREZFfaa0b57Gfa44e\nPRqnTp1yWP7KK69g5syZePHFFwEAubm5eOqpp7BixQrFv2PfqfNBn5SIiIiIiOiy4bFO3rZt25xK\nl5mZiXHjxgEAIiMjceLECctn5eXliIyM9Ej+iIiIiIiIApFPrsmrrKy0zH/66adITk4GAIwfPx5r\n165FQ0MDysrKcPToUQwdOtQXWSQiIiIiIros+eTumvPmzcP3338PlUqF6OhovPvuuwCAhIQETJw4\nEQkJCVCr1Vi6dCmvwSMiIiIiInKBT87kvf/++zhw4ABKS0uxfv16zJ8/H9dccw2Sk5Px/PPP4+ef\nf0ZRURG0Wi0GDBiA8ePHo6amBgCwevVqy/P1UlJSEBwcjAMHDgAAUlNTER8fb/msqqrKF6tHHjZ9\n+nRLvJiVlpbipptucileGhoa8OijjyIuLg79+/fHJ5984pP1Ic9xR6zU1NTIlnfv3h1PPvmkr1aJ\nPMhdZUtBQQGSk5MxcOBApKen4+zZsz5ZH/Icd8VKUVERBg4ciKSkJDz33HM+WRfyPFfixWAwICMj\nAwMGDEBCQgJee+01y3f27duH5ORk9OvXD9nZ2V5fD7rMiH6guLhY3L9/v5iUlGRZNnjwYLG4uFgU\nRVFcuXKlmJub6/C9H374QYyNjbW8T01NFfft2+f5DJNPuSteXnzxRVm6qqoqD+aafMFdsWLrhhtu\nEHft2uWZDJNPuSNejEaj2LVrV/Hs2bOiKIris88+K2q1Wi/knrzJHbFSVVUl9u3b11L3TJ06Vdy+\nfbsXck/e5kq8FBQUiJMmTRJFURQvXrwoRkVFicePHxdFURSHDBkilpSUiKIoiunp6eKmTZu8uRp0\nmfGLp4zfeuutiIiIkC07evQobr31VgDAqFGj8PHHHzt874MPPsCkSZNky0TefTPguSteCgoKMH/+\nfMv7bt26eSjH5CvuLFsA4MiRIzh9+jSGDx/umQyTT7kjXtRqNSIiIlBbWwtRFHHhwgXeQCwAuSNW\njh07hn79+lnqnjvuuEPxO3T5cyVeevXqhbq6OphMJtTV1SEkJASdO3dGZWUlampqLPeqePjhh7F+\n/XrvrghdVvyik6ckMTERGzZsAACsW7dOdtdNsw8//BAZGRmyZVOnTkVKSgry8vK8kk/yD67Gy/nz\n5wEAOTk5uOGGGzBx4kScPn3aexkmn2lv2QIAa9euVez8UeByNV6CgoKwePFiJCUlITIyEocOHcL0\n6dO9mmfyDVdjJTY2Fj/99BOOHz+OpqYmrF+/XvE7FJhaipe0tDR07twZvXr1QlRUFJ555hl06dIF\nFRUV6NOnj+X7kZGRqKio8Ene6fLgt528lStXYunSpRg8eDBqa2sREhIi+7ykpATh4eFISEiwLFu9\nejV+/PFH7Nq1C7t27UJhYaG3s00+4mq8NDU1oby8HLfccgv27duHm266CU8//bQvsk5e1p6yxayo\nqEix80eBy9V4uXDhArKyslBaWoqTJ08iOTkZCxcu9EXWyctcjZWIiAgsW7YMDz74IEaMGIHo6GgE\nBwf7IuvkAy3Fy6pVq1BfX4/KykqUlZXhjTfeQFlZmY9zS5cjn9xd0xlxcXHYsmULAOknUnq9Xvb5\n2rVrMXnyZNmy3r17AwA6deqEyZMnY+/evZgyZYp3Mkw+5Wq8dOvWDeHh4bj33nsBAPfffz9WrFjh\nvQyTz7SnbAGki+SbmpqQkpLilXySf3A1Xg4dOoTo6GhER0cDAB544AEsWrTIexkmn2lP2TJ27FiM\nHTsWALB8+XKo1X7bLCM3s4+XL774AgCwe/duTJgwAcHBwejevbtlMHr48OEoLy+3fJ/Pkqa2+O2Z\nvDNnzgAAmpubkZeXh5kzZ1o+a25uxrp162Q/mzKZTJa7aTY2NmLjxo2yuxhRYHM1XlQqFcaNG4ev\nv/4aALB9+3YkJiZ6N9PkE67GitmaNWsUO38U2FyNl+uuuw6HDx+21Efbtm1TPCtMgac9ZYv5MoFz\n585h2bJlyMzM9F6Gyafs4+Xxxx8HAMTHx+Orr74CANTV1WHPnj2Ij49Hz5490blzZ5SUlEAURRQW\nFuKee+7xWf7J//nFkFFGRgZ27tyJqqoqXHvttViwYAFqa2vxzjvvAADuu+8+TJs2zZK+uLgYffv2\nRVRUlGWZ0WjEmDFj0NjYCJPJhNGjR+ORRx7x8pqQN7gjXgBg0aJFmDJlCubMmYMePXqgoKDAi2tB\n3uCuWAGkayY2bdrkpZyTL7gjXrp3745XX30Vt912G4KCghAVFYX33nvPuytCHueusmXOnDkoLS0F\nALz00kuIjY311iqQF7kSL4899hhmzJiB5ORkNDc3Y/r06UhKSgIALF26FNOmTUN9fT3uuusujBkz\nxlerRJcBlcjbURIREREREQUMv/25JhEREREREbmOnTwiIiIiIqIAwk4eERERERFRAGEnj4iIiIiI\nKICwk0dERERERBRA2MkjIiIiIiIKIP8GkGsBl9l1Q6wAAAAASUVORK5CYII=\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0xc4b1710>" | |
] | |
}, | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": "iVBORw0KGgoAAAANSUhEUgAAA3MAAADSCAYAAADg4ZmsAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nh/4PbobDMhBIQ10AAAAASUVORK5CYII=\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0xc4bc610>" | |
] | |
} | |
], | |
"prompt_number": 24 | |
} | |
], | |
"metadata": {} | |
} | |
] | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment