{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import netCDF4 as nc\n",
    "import datetime as dt\n",
    "import subprocess\n",
    "import requests\n",
    "import matplotlib.pyplot as plt\n",
    "import cmocean\n",
    "import numpy as np\n",
    "import os\n",
    "import glob\n",
    "import dateutil as dutil\n",
    "from salishsea_tools import viz_tools\n",
    "import pickle\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "recalc=True #False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "t0=dt.datetime(2015,1,1) # \n",
    "if recalc:\n",
    "    with nc.Dataset('/ocean/eolson/MEOPAR/NEMO-forcing/grid/mesh_mask201702_noLPE.nc') as fm:\n",
    "        tmask=np.copy(fm.variables['tmask'])\n",
    "        umask=np.copy(fm.variables['umask'])\n",
    "        vmask=np.copy(fm.variables['vmask'])\n",
    "        navlon=np.copy(fm.variables['nav_lon'])\n",
    "        navlat=np.copy(fm.variables['nav_lat'])\n",
    "        e3t_0=np.copy(fm.variables['e3t_0'])\n",
    "        e3u_0=np.copy(fm.variables['e3u_0'])\n",
    "        e3v_0=np.copy(fm.variables['e3v_0'])\n",
    "        e1t=np.copy(fm.variables['e1t'])\n",
    "        e2t=np.copy(fm.variables['e2t'])\n",
    "        e1v=np.copy(fm.variables['e1v'])\n",
    "        e2u=np.copy(fm.variables['e2u'])\n",
    "        A=fm.variables['e1t'][0,:,:]*fm.variables['e2t'][0,:,:]*tmask[0,0,:,:]\n",
    "\n",
    "    #te=dt.datetime(2016,12,1)# last start date of runfnum=18\n",
    "    stm=np.shape(tmask)\n",
    "    SiN=1.8\n",
    "    nlen= 73 # 2 yrs210\n",
    "    #nlen=58#100\n",
    "    dlist=[t0+dt.timedelta(days=ii*10) for ii in range(0,nlen)]\n",
    "\n",
    "    #sdir0='/results/SalishSea/nowcast-green/'\n",
    "    sdir1='/data/sallen/results/MEOPAR/202007/202007F/'\n",
    "    #sdir3='/data/eolson/MEOPAR/SS36runs/CedarRuns/spring2015_HCMZ/'\n",
    "\n",
    "    tmaskC=np.copy(tmask)\n",
    "    tmaskC[:,:,370:490,:12]=0\n",
    "    tmaskC[:,:,887:,30:70]=0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150101-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150111-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150121-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150131-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150210-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150220-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150302-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150312-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150322-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150401-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150411-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150421-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150501-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150511-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150521-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150531-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150610-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150620-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150630-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150710-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150720-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150730-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150809-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150819-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150829-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150908-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150918-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150928-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151008-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151018-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151028-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151107-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151117-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151127-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151207-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151217-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151227-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160106-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160116-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160126-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160205-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160215-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160225-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160306-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160316-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160326-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160405-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160415-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160425-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160505-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160515-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160525-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160604-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160614-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160624-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160704-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160714-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160724-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160803-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160813-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160823-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160902-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160912-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160922-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161002-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161012-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161022-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161101-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161111-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161121-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161201-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161211-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161221-*.nc\n"
     ]
    }
   ],
   "source": [
    "if recalc:\n",
    "    tlist=dlist\n",
    "    SiGlobalTot=dict()\n",
    "    SiTot=dict()\n",
    "    BSiTot=dict()\n",
    "    DiatTot=dict()\n",
    "    changeSiGlobalTot=dict()\n",
    "    for idir in (sdir1,):\n",
    "        fformat1='%d%b%y/'\n",
    "        if idir.startswith('/data/eolson/MEOPAR/SS36runs/CedarRuns/'):\n",
    "            fformatT='SalishSea_1d_*_ptrc_T_%Y%m%d-*.nc'\n",
    "            fformatP='SalishSea_1d_*_ptrc_T_%Y%m%d-*.nc'\n",
    "        #elif idir==sdir1:\n",
    "        #    fformatT='SalishSea_1h_%Y%m%d_%Y%m%d_ptrc_T.nc'\n",
    "        #    fformatP='SalishSea_1h_%Y%m%d_%Y%m%d_carp_T.nc'\n",
    "        elif idir.startswith('/data/sallen/results/MEOPAR/202007/'):\n",
    "            fformatT='SalishSea_1d_????????_????????_ptrc_T_%Y%m%d-*.nc'\n",
    "            fformatP='SalishSea_1d_????????_????????_carp_T_%Y%m%d-*.nc'\n",
    "        else:\n",
    "            raise Exception('Name Error')\n",
    "        sumSi=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        sumBSi=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        sumDiat=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        ind=-1\n",
    "        for idt0 in tlist:\n",
    "            ind=ind+1\n",
    "            cdir=idt0.strftime(fformat1).lower()\n",
    "            iffT=idt0.strftime(fformatT)\n",
    "            iffP=idt0.strftime(fformatP)\n",
    "            if idir.startswith('/data/') and not ('link' in idir): #eolson/MEOPAR/SS36runs/CedarRuns/\n",
    "                sffT=idir+iffT\n",
    "                sffP=idir+iffP\n",
    "            elif idir.startswith('/results/') or idir.startswith('/results2/') or ('link' in idir):\n",
    "                sffT=idir+cdir+iffT\n",
    "                sffP=idir+cdir+iffP\n",
    "            print(sffT)\n",
    "            f=nc.Dataset(glob.glob(sffT)[0])\n",
    "            fP=nc.Dataset(glob.glob(sffP)[0])\n",
    "            #if idir==sdir0:\n",
    "            #    e3t=np.expand_dims((1+fP.variables['sossheig'][0,:,:]/np.sum(e3t_0*tmask,1)),0)*e3t_0\n",
    "            if idir==sdir1:\n",
    "                e3t=fP.variables['e3t'][:2,:,:,:]\n",
    "            Vol=A*e3t\n",
    "            sumSi[ind,:,:]=1e-3*np.sum(tmaskC[0,:,:,:]*Vol[0,:,:,:]*f.variables['silicon'][0,:,:,:],0) #mmol/m3*m3*10^-3=mol\n",
    "            sumBSi[ind,:,:]=1e-3*np.sum(tmaskC[0,:,:,:]*Vol[0,:,:,:]*f.variables['biogenic_silicon'][0,:,:,:],0) #mmol/m3*m3*10^-3=mol\n",
    "            sumDiat[ind,:,:]=SiN*1e-3*np.sum(tmaskC[0,:,:,:]*Vol[0,:,:,:]*f.variables['diatoms'][0,:,:,:],0) #mmol/m3*m3*10^-3=mol\n",
    "            f.close()\n",
    "            fP.close()\n",
    "        SiGlobalTot[idir]=np.sum(np.sum(sumSi+sumBSi+sumDiat,2),1)\n",
    "        SiTot[idir]=np.sum(np.sum(sumSi,2),1)\n",
    "        BSiTot[idir]=np.sum(np.sum(sumBSi,2),1)\n",
    "        DiatTot[idir]=np.sum(np.sum(sumDiat,2),1)\n",
    "        changeSiGlobalTot[idir]=[SiGlobalTot[idir][ii+1]-SiGlobalTot[idir][ii] for ii in range(0,len(tlist)-1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150101-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150111-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150121-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150131-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150210-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150220-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150302-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150312-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150322-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150401-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150411-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150421-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150501-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150511-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150521-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150531-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150610-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150620-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150630-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150710-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150720-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150730-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150809-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150819-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150829-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150908-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150918-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150928-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151008-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151018-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151028-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151107-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151117-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151127-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151207-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151217-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151227-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160106-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160116-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160126-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160205-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160215-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160225-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160306-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160316-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160326-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160405-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160415-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160425-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160505-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160515-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160525-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160604-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160614-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160624-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160704-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160714-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160724-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160803-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160813-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160823-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160902-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160912-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160922-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161002-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161012-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161022-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161101-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161111-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161121-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161201-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161211-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161221-*.nc\n"
     ]
    }
   ],
   "source": [
    "klim=20\n",
    "if recalc:\n",
    "    tlist=dlist\n",
    "    BSiTotS=dict()\n",
    "    DiatTotS=dict()\n",
    "    for idir in (sdir1,):\n",
    "        fformat1='%d%b%y/'\n",
    "        if idir.startswith('/data/eolson/MEOPAR/SS36runs/CedarRuns/'):\n",
    "            fformatT='SalishSea_1d_*_ptrc_T_%Y%m%d-*.nc'\n",
    "            fformatP='SalishSea_1d_*_ptrc_T_%Y%m%d-*.nc'\n",
    "        #elif idir==sdir1:\n",
    "        #    fformatT='SalishSea_1h_%Y%m%d_%Y%m%d_ptrc_T.nc'\n",
    "        #    fformatP='SalishSea_1h_%Y%m%d_%Y%m%d_carp_T.nc'\n",
    "        elif idir.startswith('/data/sallen/results/MEOPAR/202007/'):\n",
    "            fformatT='SalishSea_1d_????????_????????_ptrc_T_%Y%m%d-*.nc'\n",
    "            fformatP='SalishSea_1d_????????_????????_carp_T_%Y%m%d-*.nc'\n",
    "        else:\n",
    "            raise Exception('Name Error')\n",
    "        sumBSiS=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        sumDiatS=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        ind=-1\n",
    "        for idt0 in tlist:\n",
    "            ind=ind+1\n",
    "            cdir=idt0.strftime(fformat1).lower()\n",
    "            iffT=idt0.strftime(fformatT)\n",
    "            iffP=idt0.strftime(fformatP)\n",
    "            if idir.startswith('/data/') and not ('link' in idir): #eolson/MEOPAR/SS36runs/CedarRuns/\n",
    "                sffT=idir+iffT\n",
    "                sffP=idir+iffP\n",
    "            elif idir.startswith('/results/') or idir.startswith('/results2/') or ('link' in idir):\n",
    "                sffT=idir+cdir+iffT\n",
    "                sffP=idir+cdir+iffP\n",
    "            print(sffT)\n",
    "            f=nc.Dataset(glob.glob(sffT)[0])\n",
    "            fP=nc.Dataset(glob.glob(sffP)[0])\n",
    "            #if idir==sdir0:\n",
    "            #    e3t=np.expand_dims((1+fP.variables['sossheig'][0,:,:]/np.sum(e3t_0*tmask,1)),0)*e3t_0\n",
    "            if idir==sdir1:\n",
    "                e3t=fP.variables['e3t'][:2,:,:,:]\n",
    "            Vol=A*e3t\n",
    "            sumBSiS[ind,:,:]=1e-3*np.sum(tmaskC[0,:klim,:,:]*Vol[0,:klim,:,:]*f.variables['biogenic_silicon'][0,:klim,:,:],0) #mmol/m3*m3*10^-3=mol\n",
    "            sumDiatS[ind,:,:]=SiN*1e-3*np.sum(tmaskC[0,:klim,:,:]*Vol[0,:klim,:,:]*f.variables['diatoms'][0,:klim,:,:],0) #mmol/m3*m3*10^-3=mol\n",
    "            f.close()\n",
    "            fP.close()\n",
    "        BSiTotS[idir]=np.sum(np.sum(sumBSiS,2),1)\n",
    "        DiatTotS[idir]=np.sum(np.sum(sumDiatS,2),1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "#test=np.sum(np.sum((sumSi[-1,:,:]+np.sum(1e-3*7*tmaskC[0,:,:,:]*Vol[0,:,:,:],0))+sumBSi[-1,:,:]+sumDiat[-1,:,:],1),0)\n",
    "#test2=np.sum(np.sum(sumSi[-1,:,:]+sumBSi[-1,:,:]+sumDiat[-1,:,:],1),0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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cGW4cpWrlSusbPe44GwzLlAA2b7Y53p9/XtVdVN3q1XDYYTYo75JlyxbbxS9q/f/pLr3USkRcfXXV9rPV9eplf8Pdu1stoWLLlgB+AHyMjQOcoKqbUrf3Bm4tcFyRduih9sbl4wD1E7yh9+xpA1+ZuoDmz7emM8Drr2d+nWnT7E3gqacKE6eLroULo7MArCYdO8IFF9h059GjbdpnJg8/DI89VtzYAtmmgW5W1d+q6lWqujDt9tdU9aGanpcETZrYOIAngPoJEkCPHtbszdQCCAb4dtut5rUCr76682NdcgR7eIexA1hd/OQn1gpI7+qprkePXSuDFouvBK6n44+3T66XXQabNtX+eFdl+XLo3NlmRfTta3VQ1q3b+TFz5liz+Oija24BeAJIrqVL7RN1ly5hR5Jdjx7w6aeZ+/+jwBNAPV12mWX3u+6yWQhz54YdUelYtszqoUPV3Of0VoCqDfANHWqf8N5+e9ck+8EHdjngADv6wrxkCf6Gir1wqj6qb/AeJZ4A6ql5c5vi9dJLNmB55JFw443WN5lpX2FXpbYEsGqVvaEfcYQlge3bbUwgXfDp/5pr7FhTK8HFU/rfkKu/bCuBnxKRJ2u6FDPIKDv2WPuEevbZNm1xwAAbIN5nH5stFBSrcubzz627J/jn3WsvWw+QPhAc/MyCFgDs2s3z6qvWhXT++bYhtyeA5NiyxQqp9egRdiSlL9uWkIme6VMXbdtaUafrroPFi21a4ooVVhf8kUeiPVOh2JanlhYGCUDEWgHpLYA5c6zZ3K+fLfTp3n3XN/hXX7VWV6tW1gXn4wDJ8c47tjbEWwANV2MCUFWf41JHffvuXM9j3jzfRL66YAZQ+j9v377wt79Z37+IvZkPHly1w9OQITuvufjkE0u055xj14cOhb/8xaaNNvFdrmMv09+Qq59axwBEpIeITBaRxSLyTnApRnClrqwM3n8/7CiiZdkyWwKfvvF1375WFGvVKpvbXX2Hp6FDbdHXqlV2fdYsOx5zTNX9mzZ5YbmkSJ9G7Boml0HgvwJ/ArYBxwIPAoleB5Crbt28BVDdsmWWGNOX7wetpkWLbPXvli07J4BgHCDoBnr1VWsdHHaYXQ8em49uoA0boFMnq93iomn5cltkFdSScvWXSwJooaozAFHV91X137HaQK4WZWX2huLVLqtkmr0R1ECpqMi8w9OAAfaGH7zBv/oqHH541fS6sjIrvJWPBFBRYXVbfFA5unwGUP7kkgC+FpFGwHIRuTy1H8CeBY4rFrp1s6O3Aoxq5n/e9u1h773tzXfOHFvcs88+Vfc3b24Dva+/Dl99ZV1Ew4ZV3S9irYB8vGkvWWLHDz5o+Gu5wvAEkD+5JIAfAy2BK4FBwLnA+QWMKTbKyuzo4wDmo4/sDTzTP28wE2jOnMyzpoYOtUH1WbNsXUDQ/x8YMsTevDNtxl0XlZV29N9ZNH31la0R8QSQH7kkgDJV/UpVV6nqRao6Aeha6MDiwFsAO8s2e6NvX1tE9/77mSs8DhliC+7uussGkY88cuf7g+c0dEW2twCirfo0YtcwuSSA63O8zVXTsSO0bJnMT5PPPmvrIjRtV4naEkBQ/TNTAghue+op23i7TbVdqQ87rGoKaUMECWD16qp4XHT4DKD8qnHWtIiMAU4C9hWRO9PuaoPNCHK1EEnuTKCbbrI3465dbWMMsH/e5s0zF/AKBoKbNctcGTEY6F23btfuH7Ba6n37NiwBfP21LTLae29Yu9a6Grp6WzdSggRw4IHhxhEX2VoAa4B5wNfA/LTLk8CJhQ8tHpK4FuDDD+2NePfd4ac/repXX7bMPrk1yvBX17u3HQcOzLzDk0jVdNBMCQCqBoLTWx11sWKFrTA94QS7nrTfWylYtsw+QLRsGXYk8ZBtP4CFqvo/2G5gj1CVAJ5S1QYOtSVHWVnyWgCPP27HZ56xJHDOOTa3P9vsjdat4cQT4dvfrvl1hw2zlb7ZEsBnn1X1E9dVkKhOTH288XGA6PEZQPmVyxjAkcBy4L+Bu4BlIjIs+1OyE5H/EpElIvK2iDwR520mu3WzeuBffhl2JMUzZYrV8TnmGPjzn+Gtt+Df/s22gszWd/vcc1XVPTO54gpbKLbXXpnvD8YJ/vGP+sUd9P8ff7wdvQUQLTVNI3b1l0sC+B22JeRwVR2Gdf/c3sDzTgf6qmo/YBkxHlRO2lTQtWttquaECXb9lFPge9+DW26xrfEa8s/bvHn2jbMPPti2mbz8civVXdfN5JcssYTdsaNdkvI7KxWffGKLKj0B5E8uCaCpqi4NrqjqMqBpQ06qqi+oajCQPAfYryGvF2XBVNCkvJk88YR9Ujv99Krbbr+9qvZPIf95GzWC116DsWPh2mvhW9/adaexbCorLYmA/d68CyhavAhc/mXbDyA1d4N5InKfiIxIXf6MjQXky3eBZ7PEcbGIzBOReevXr8/jaYsjaAEkZRxgyhR7Ew0GdcH69ydNgvHjC7/3afv2FsNdd8HLL1tXVFA8LpsdO2ybwfQEkJSkXSo8AeRfthbAd1PHS4HF2Ergq1JfX1LbC4vIiyJSkeEyPu0xv8SmlD5c0+uo6r2qOlhVB3fq1CmHbyla9tzTui6S8Gayfr31v6d/+g8MHgxTpxZn9oYIXHopvPGGbch9xRW1P+fDD62iaK9edr1rV2sB1HdGkcu/ZctsEkDwoco1XK3V01X1G+C21CVnqnpctvtF5AJgLDBKNb7/Zo0aJWctwNSp9kk66P8P2yGHwPe/DzfcYP3HHTrU/NhgADi9BbBxow3gZ3ueK55ly2wPaN/zIX+ytQD6iciGDJcvRWRDQ04qIqOBnwEnq+qm2h5f6pLSnTBliv2D9u8fdiRVRqbq1tY2MyiYApreAgAfB4iSYB2Jy59sCaBcVdtkuLRW1TZZnpeLPwKtgekiskBE7m7g60VaEtYCfPYZzJhhn/5Fwo6myuDBthbhpZeyP27JEmjXzvYCgOQN3kfdjh22vsP7//MrlMaUqiZqIXe3bjYbZfNm65OOoyeftNo5mfr/w9S0qS0gyyUB9OpVlbwa0gLYscP2g54wIb6/72JbvdpKdXgCyK9sLYDHihZFzCVhLcCUKfamOXhw2JHsauRIe4Nfs6bmx6RPAQVbB9CiRf1+Z88+C+edBw8+WPfnusx8BlBhZCsF8ZtiBhJnce9O2L7d+tjHjIlW908gGAd4+eXM93/6qbXQ0hOASNVMoLqaONGO9V2R7HblCaAwclkI5hoo7msBFi+2UhfVa/RHRf/+1r9fUzdQMAMoGAAO1Gfw/uuvq/YTfuUVn0aaL8uW2RTi9J3iXMN5AiiCvfe2qWtxbQFk2sc3Sho1gmOPrT0BpLcAoH4J4NlnLRmefrqVxahvYTq3s+XLrQR0FFuYpazWBCAizUXkbBH5hYjcGFyKEVxcNG5s3QlxbQHMnm195lGu0X7ssfbzf/fdXe9bssT2Idh//51v79q1avA+V5Mm2Uyi//gPu+7dQPmxYoVPAS2EXFoAfwfGYyt2N6ZdXB3EeS3A7NlWiTPKn86CcYBMrYDKSutbbtx459uDsZsPP8ztHBs32o5lEyZYd9Lee1s3kGuY7dstcR9wQNiRxE8u00D3U9XRBY8k5srK4Pnnw44i/z791GronH9+2JFk16uXlZF+6SWrTppuyRIYMGDX56RPBc1l8HHaNCsnceaZlgyHD7cWgGq0k2PUrVpl+0lEuYVZqnJpAbwmIocUPJKY69bN+oS/+SbsSPIr2IIxqv3/ARFrBbz00s4Ds8E2kNUHgKHus7cmTbJP/cGGNSNG2NTTlSsbFHriBT8/TwD5l0sCOBqYLyJLUxu4lIvI24UOLG7KyuyNJ9fuhFIxe7YNsh52WNiR1G7kSPjoo6pBX7DBxR07dh0ABth3X/vecpkKumGD7YD27W9XdSUNH25HHwdomBUr7OhdQPmXSwIYA/QATgDGYQXcxhUyqDiK61qA2bOt5PLuu4cdSe3SxwG2b7eFWuPG2Zv8oEG7Pr5pU5t2mMvv7MknrXV35plVt/Xsad1OngAaZsUKq6i7X2x3DQlPtv0Agno/X9ZwcXUQx7UA27fbJuxR7/4J7L+/JeL777fN5y+4wGYvTZ9ub9aZ5LoYbOJE26w82JYSrNtpxAhfD9BQK1fahkKNfNJ63mX7kf5v6jgfmEfVpvDBdVcHQXdCnFoAixbBV1+VTgIIxgHefNMGaydOhLlzq1oGmeQye+uzz+CFF+zTf/U3qeHDbRDznXcaHn9SrVjh3T+FUuMsIFUdmzruX9NjXO6aNrUmbJxaAFFfAJbJr38No0fbXsXNmtX++G7dYPJkGyeo6RPoE0/Yfsfp3T+BESPs+Mor/iZWH6rWAsiWpF39eaOqiLp3rxrQioNgAVgpvbHtuy+ccUZub/5gXUBbt9rgcU0mTbLfbaZxhIMPtl3hfBygfv71L1tf4TOACsMTQBH16wdvv21953Ewe7Z9+o/zHPfaBu/XrbN9EM46K/PPofp6AFc3PgOosDwBFNHAgfZpJg6tgE8+sQJdpdT9Ux+17QswZYol9EzdP4ERI2z6b5y6/4ol+F/xFkBh5JQARORoEbko9XUnEfFxgXoIVpsuWBBmFPlRKgvAGipIADW1ACZNskVkh2RZKunrAepv5UpbVxG0xFx+5VIM7lfY/r3Xp25qCvytkEHFVe/eNhj81lthR9Jws2fbP2YpLABriDZtoG3bzJ/e16yBmTOrSj/UpHdvKxDnCaDuVqywN/+mTcOOJJ5yaQGcCpxMqgCcqq7B9vN1ddSsGfTtG58E0K8ftGoVdiSFd9RR8Mgj1t+f7rHHrF8/W/cPVI0DeGG4uluxwrt/CimXBLBFVRVQABFJwL984QwYYAmglAcEV6worQVgDXXrrTZ2c911O98+caJtNpOpjER1I0ZYN1KmctSuZitXegIopFwSwKMicg/QVkR+ALwI/LmwYcXXwIGwfr0VhitFf/+77fvbrNmuVTXj6uCD4dpr4X/+B1591W577z0bBznrrNxeI1gP4N1Aufv0U1tk5zOACqfWBKCqtwKTgSlAT+BGVf1DoQOLq2AguNS6gbZtg+uvtwVUBx5oq2kPPTTsqIrnhhusL/pHP7J1AY8+arefcUZuz+/d29ZMeALInc8AKrxcBoH3B15V1Z+q6rXALBEpK3hkMdW/vx1LKQFs3Agnngi//S1cfDHMmlVV2ygpWraE3/8eKirgzjut++fww20BWC6CukC+HiB3Xga68HLpAnoM2JF2fXvqNlcPbdrYH3QpTQWdPNkqaN5zj1122y3siMJx8skwdqy1Bt56q/bB3+pGjLD1BL4eIDdBC6D6Vp0uf3JJAE1UdUtwJfV1jgvpXSbBQHCpmD7dyhl8//thRxIuEfv0H8i1+yfg4wB1s2KF1c9q0SLsSOIrlwSwXkRODq6IyHjg48KFFH8DB1p1yC++CDuS2qnCiy/CqFFejhfs0+gf/2iDwnWtT+/rAerGZwAVXi57Al8CPCwifwQE+BCI+A6w0TZwoB0XLoRhw8KNpTbl5VaQ6/jjw44kOuo7+6n6OECcayjlw4oV1uXmCieXWUArVXUo0BvorapHqmoMqtmEp5RmAr34oh09AeSHjwPk5ssv7YOHtwAKq9YWgIg0ByYAZUATSX1sUdWbChpZjO29t20VWAoJYPp0mwfv2/HlR/o4gA9u1izYQMcTQGHl0qv7d2A8sA0rBxFcXAMMHBj9mUDffGPlC/zTf/706uXjALnwMtDFkcsYwH6qOrrgkSTMgAHWvfLNN7bhdRS99hps3gzHHRd2JPHh4wC58QRQHLm0AF4TkSzFbl19DBxoq2sXLQo7kppNn24VP4NuC5cfwTiA1wWq2cqVNvW4TZuwI4m3XBLA0cB8EVkqIm+LSLmIvF3owOIumAkU5W6g6dNh6FD/J8w3Xw9QO98IvjhySQBjgB7ACcA4YGzq6BrggANg992jOxD86acwf773/xdCMA7w8sthRxJNX31lf3u9e4cdSfzlMg30faALMDL19aZcnueya9TI6gJFNQG89JL1UXsCyD8RGDnSWlg7dtT++KR54AHYsMFXnhdDqDuCici1IqIi0jEfr1dqDj3UEsCnn4Ydya6mT4fWreO/41dYxo61ee7z5oUdSbTs2GFF94YOtYsrrNB2BBORLsDxQA3bbcffD35gs2x++9uwI9nV9Olw7LG+FV+hjBljrcCnngo7kmiZNs36/6++OuxIkiHMHcFuB64LXjeJDjkEzj/fCox9+GHY0VRZudJmqHj3T+F06ABHH+0JoLrbb4cuXeC008KOJBlC2REsVVxutaoubMjrxMFNqfXUv/pVuHGk8/IPxTFunNWD+iCxbeCdLVhgM6OuuAKa5LJCyTVY1gQgVvdhEvXYEUxEXhSRigyX8cAvgRtzCVBELhaReSIyb/369bk8paR07QqXX27bDVZUhB2NmTvXdq866KCwI4m3cam5dN4KMLffDq1aWdeoKw7RWrYnEpH5qjoobye0RWUzsNlEAPsBa4DDVfWjbM8dPHiwzovhqNknn9i00GHD4Mknw47G9vxt187GAVxhHXSQ7Sr23HNhRxKutWtty80f/hD+4BvO5l3qfXxw9dtz6QKaIyJ5mwuiquWquqeqlqlqGbAKOLS2N/8469ABfv5z+yQYbDoelq1brSUSVCx1hTVunK0H+PLLsCMJ11132cr4K68MO5JkySUBHIslgZW+ErhwrrwS9tkHfvazcPeMXbrU6hN5AiiOceNgy5Zkt7a2bIG777apsT16hB1NsuS6Erg7MJICrAROtQQSv8NYy5Y2EDx7tm26HpagNIUngOI46iho2zbZ4wALFsDHH9uMOFdcvhI4Qs4+2zZcnzw5vBgWLLDqpD17hhdDkjRtamsCnn4atm8PO5pwzJ1rxyFDwo0jiUJdCex2tvvu9mYwZUp4JQIWLLD1CT4Nr3jGjYP166veCMFWCP/qV8kYG3jjDejc2TcdCkNoK4FdZhMmwOrV8PrrxT+3qs1L79+/+OdOstGjrez2U0/ZHgxjxlgJjptugptvDju6wps7175f3xuh+MJcCewyGDsWmjULpxtozRrri/X+/+Jq1w6OOQZuu83GBObNg9/8Bs44A+64I94Lxb74wiYeHH542JEkUygrgV3N9tgDTjjBuoGKPRvIB4DDc/HFtijwtttsw/jrr4dbbrH7/u3fQg2toObPt79zLzoYjhoTQGozeFT1VuqxEtjV3+mnw/vv2z9HMQUJoF+/4p7XwXe+A8uXw09+YqthwRZGXXklPPRQtDcOaog33rCjJ4BwZGsBzAYQkYdUdbqq/lRVr1XVBM9YLo6TT7ZB2GJ3Ay1YYCuSfQew6PjFL6yL6Lrrwo6kMObOtb+59u3DjiSZsiWAZiJyAXCkiJxW/VKsAJOoXTsYNcoSQDG7gRYs8O6fqGnbFm64wRaKvfBC2NHk3xtveP9/mLIlgEuAoUBbbOFX+mVswSNLuNNPt7LMC4tUL/XLL+18PgMoen70I9h/f/jpT+O1VmDtWiuD7t0/4cmWAPZW1UuB61X1omqX7xYrwKQ65RSbGjhlSnHOV15urQ1vAURP8+Y2K+jtt2HixLCjyZ+g/99bAOHJlgCChV+XFCMQt7OOHWHECHjsseJ0A/kMoGg780yrk/OXv4QdSf688YZ9yBk4MOxIkitbAvhERF4G9heRJ6tfihVgkk2YYHOkFy8u/LkWLLCBOF+NGU0icO65tmFKXNYFzJ0LfftaHSwXjmwJ4FtYK+Bj4LYMF1dgp55qs4HuuKPw5woGgH01ZnSde64dH3443DjyQdUHgKOgxgSgqltUdQ5wpKq+Uv1SxBgTq3Nn2y3svvsKOw982zYbA/Dun2jr3t1WCj/0ULglw/Nh5Ur47DMfAA5btoVgd6S+vN+7gMJz443WNXP11YX7p1+2DL7+2mcAlYLzzoPKSnjzzbAjaRgfAI6GbDUfH0odby1GIC6zdu2sKNhll8HUqdYtlG/BVFNvAUTfGWdUrQ4elLeNWotv7lxo0QL69Ak7kmTL1gU0P3V8BVgMLPYuoHBcfLH9o1x7re3WlW8LFlgBuoMPzv9ru/xq184KBj7yiHXdlao33oBDD/Wy42HL1gUkIvLvIvIxsARYJiLrReTG4oXnwP5Jbr8d3nkH7rwz/68/f74lmGbN8v/aLv/OOw/WrSvdlcHbtlkXlvf/hy/bLKAfA0cBh6lqB1VtBwwBjhKRq4sRnKty/PH2ye/Xv4YlS6xu/AMPWK2Y3/zGyjjXx9atMGeODS660nDSSTYu9NBDtT82ihYtgs2bvf8/CrI1wM4Hjk/fr1dV3xGRc4EXgNsLHZzb2W232Sf1Xr2qbmvSxD5R3Xwz/PCHcM01sO++ub/mm2/Cxo0wbFj+43WF0ayZLQz7619hw4bSK9738st2POKIcONw2VsATTNt1q6q67FtIV2RHXSQFYi77TaYNs1m72zaBBUVtmjszjttquBVV+VeM2bmTDsec0zh4nb5d955NnOrWKVC8unpp6F3bygrCzsSly0BbKnnfa6Axo+3mvHf+paVBmja1FoFDz5o9eTPOssSwfQci3bPnGkbwHfuXNi4XX4NHWoF4p54IuxI6mbDBnjlFevOdOHLlgD6i8iGDJcvgUOKFaDL3f77w733Wv/wAw/U/vjt2+HVV737pxSJWB96RUXYkdTN9Ok27vStb4UdiYPs00Abq2qbDJfWqupdQBHVvDmcc46tGfjss+yPLS+3PVk9AZSmPn3g3XdtDKdUPP207XFw5JFhR+Igtz2BXYm56CJbL/DII9kfF/T/ewIoTcEiqsrKcOPI1Y4dlgDGjPH5/1HhCSCGBgywfX3/+tfsj5s50/ad7dq1KGG5POvd246LFoUbR67mzbP1C979Ex2eAGJIxFoB8+bV3Eesaglg+PDixuby58ADbUpoMcqF58PTT0OjRjB6dNiRuIAngJg65xxrZtc0GLxkCaxf790/paxJE5vBVSotgGnTbO5/hw5hR+ICngBiqlMnGDfOVotu3brr/d7/Hw99+pRGAlizxhYd+vTPaPEEEGMXXWR9rs8+u+t9M2fa3P8DDyx+XC5/eveG996Dr74KO5LsnnnGjp4AosUTQIyNHg177bXrYLCqLcYZNsx3ACt1wUygJUvCjaM206bZZAMv/xwtngBirGlT20Zw2jRrggfeew9Wr/YB4DgI3lCj3A309dfw4ov26d8/cESLJ4CY+/737Z9u4ED429+qPv2D9//HwQEH2EygqCaAbdusXMXGjT79M4p8OUbMHXwwvP46XHKJFRD761/tDaN9+6p55K50BTOBojQVdMYMK0myeLEVLNyyBVq3hmOPDTsyV50ngAQYOND2D7j3Xrj+eiv/MH68zcl2pa9PH9vTIQq2bLGChCIwZIh96u/d20o/tGgRdnSuOk8ACdG4MVx6qe0pfMstcNppYUfk8qVPH5g40WYC7b57uLFMm2abEz3zjJV8cNEW2mdAEblCRJaKyCIRuSWsOJKmc2f43e/g6KPDjsTlS5RqAt1/v21IdMIJYUfichFKAhCRY4HxQD9V7QPcGkYczsVBMJYT9jjAmjW25uSCC6zF6aIvrBbApcBvVfUbAFVdF1IczpW8qMwEevBBq/h50UXhxuFyF1YCOAg4RkReF5FXROSwkOJwruQ1aWKzvcJMAKrW/XPMMb66vJQUbBBYRF4EMm00+MvUedsBQ4HDgEdFpLuqaobXuRi4GKCr1y12LqPevcOdCfTPf9qWpL/4RXgxuLorWAtAVY9T1b4ZLn8HVgGPq5kL7AA61vA696rqYFUd3KlTp0KF61xJ69Mn3JpA999vM5BOPz2c87v6CasLaCowEkBEDgKaAR+HFItzJS/MmUBffQWPPgpnnhn+NFRXN2ElgPuB7iJSAUwELsjU/eOcy02YNYEee8xKPXz3u8U/t2uYUBaCqeoW4Nwwzu1cHHXvHt7uYPffb+Uojjii+Od2DePFAJyLgbBmAn34IcyaZXP/vdJn6fEE4FxMhLE72NSpdpwwobjndfnhCcC5mOjXD95/Hz7/vHjnnDoVevWCgw4q3jld/ngCcC4mBgyw49tvF+d8n35qe0ucckpxzufyzxOAczERJIAFC4pzvmnTYPt2qzDrSpMnAOdionNn2wO6WAlg6lSr/DloUHHO5/LPE4BzMTJgQHESwKZN8NxzvrFQqfNfnXMxMmCAzQTasqWw55k+HTZv9u6fUucJwLkYGTDA3vyXLCnseaZOhT32gOHDC3seV1ieAJyLkWIMBG/bBk89BWPHQtOmhTuPKzxPAM7FSI8etvl6IRPArFnwySfe/RMHngCci5HGjW1BWCETwNSp0Lw5nHhi4c7hisMTgHMxE8wEKkR9XVVLAMcf76Wf48ATgHMxM2AAfPaZFWrLt0WLrNyEr/6NB08AzsVMIQeCFy6049Ch+X9tV3yeAJyLmUMOsdLMhUgAS5bYOEOPHvl/bVd8ngCci5lWraw6ZyESQGUlHHCAbT7jSp8nAOdiqFAlISorbeMZFw+eAJyLoQED4N1387s3wLZtsHy51f938eAJwLkYKsTeAO+8A1u3egKIE08AzsVQIWYCVVba0buA4sMTgHMxVIi9AYICc54A4sMTgHMxle+B4MpK2GcfqwLq4sETgHMxle+9AXwGUPx4AnAupg491N7889EKULUuIB8AjhdPAM7F1MiRtiL4+ecb/lpr18KGDZ4A4sYTgHMx1bEjDB5se/c2lM8AiidPAM7F2Iknwpw5Vh20IYIZQN4CiBdPAM7F2OjRsGMHzJjRsNeprITWrWHvvfMTl4sGTwDOxdiQITZts6HjAJWV9ulfJD9xuWjwBOBcjDVpAqNG2ThAQ3YI8xlA8eQJwLmYGz0aVq2qGsitqy++gDVrfAA4jjwBOBdzwebt9Z0N5APA8eUJwLmY69rV3rzrOw7gCSC+PAE4lwAnngivvAKbNtX9uZWV0LQpdO+e/7hcuDwBOJcAo0fDN9/AzJl1f25lpe0B3KRJ/uNy4QolAYjIABGZIyILRGSeiBweRhzOJcWwYbDbbvUbB/AZQPEVVgvgFuA/VHUAcGPqunOuQFq0gOHD6z4OsGULrFzpM4DiKqwEoECb1Nd7AGtCisO5xDjxRPs0/9JLNi108+ban7N8OWzf7i2AuAorAfwY+C8R+RC4Fbg+pDicS4yTTrLjqFHQpQu0bAmtWsFdd9X8HJ8BFG8FG9YRkReBzhnu+iUwCrhaVaeIyBnAfcBxNbzOxcDFAF27di1QtM7FX8+e8NZbtrn7J5/Axx/DE0/ADTfAhRdaQqjuueds7KBnz6KH64pAtCHrw+t7UpEvgLaqqiIiwBeq2qa25w0ePFjnzZtX+ACdS4hZs+CYY+Duu+GHP9z5vrVroawMvve97K0EF30iMl9VB1e/PawuoDXA8NTXI4HlIcXhXKIddRQMGgR33GFVQ9P9/vewbRtcc00oobkiCCsB/AC4TUQWAr8h1cXjnCsuEbj6auvrf+GFqtu/+AL+9Cc4/XQ44IDw4nOFFUoCUNVZqjpIVfur6hBVnR9GHM45+Pa3rc7/7bdX3XbPPbYF5M9+Fl5crvB8JbBzCdesGVx+ubUAFi2yFcN33AHHHWcby7v48gTgnOPii222z+9/Dw89ZAPA110XdlSu0Ly6h3OOjh3h/PPhwQfhxRdh4EBrAbh48xaAcw6Aq66Cr7+Gd9+1vn/f/jH+PAE45wDo3RvGjrXKnxMmhB2NKwbvAnLO/Z9Jk6wAnJd+Tgb/NTvn/k/LlplLQrh48i4g55xLKE8AzjmXUJ4AnHMuoTwBOOdcQnkCcM65hPIE4JxzCeUJwDnnEsoTgHPOJZQnAOecSyhPAM45l1ChbApfXyKyHni/nk/vCHycx3AKpVTihNKJ1ePMv1KJ1eM03VS1U/UbSyoBNISIzFPVwWHHUZtSiRNKJ1aPM/9KJVaPMzvvAnLOuYTyBOCccwmVpARwb9gB5KhU4oTSidXjzL9SidXjzCIxYwDOOed2lqQWgHPOuTSJSAAiMlpElorIChH5edjxBETkfhFZJyIVabe1F5HpIrI8dWwXZoypmLqIyMsiUikii0TkqijGKiK7ichcEVmYivM/ohhnQEQai8hbIjItdT2qcb4nIuUiskBE5qVui1ysItJWRCaLyJLU3+oREY2zZ+pnGVw2iMiPw4g19glARBoD/w2MAXoD3xGR3uFG9X8eAEZXu+3nwAxV7QHMSF0P2zbgGlXtBQwFLkv9DKMW6zfASFXtDwwARovIUKIXZ+AqoDLtelTjBDhWVQekTVWMYqy/B55T1YOB/tjPNnJxqurS1M9yADAI2AQ8QRixqmqsL8ARwPNp168Hrg87rrR4yoCKtOtLgb1TX+8NLA07xgwx/x04PsqxAi2BN4EhUYwT2A/7Jx8JTIvy7x54D+hY7bZIxQq0Ad4lNa4Z1TgzxH0C8M+wYo19CwDYF/gw7fqq1G1RtZeqrgVIHfcMOZ6diEgZMBB4nQjGmupWWQCsA6araiTjBO4ArgN2pN0WxTgBFHhBROaLyMWp26IWa3dgPfDXVLfaX0SkFdGLs7qzgEdSXxc91iQkAMlwm099qgcR2R2YAvxYVTeEHU8mqrpdrWm9H3C4iPQNOaRdiMhYYJ2qzg87lhwdpaqHYt2ol4nIsLADyqAJcCjwJ1UdCGwkAt092YhIM+Bk4LGwYkhCAlgFdEm7vh+wJqRYcvEvEdkbIHVcF3I8AIhIU+zN/2FVfTx1cyRjBVDVz4F/YGMsUYvzKOBkEXkPmAiMFJG/Eb04AVDVNanjOqyv+nCiF+sqYFWqxQcwGUsIUYsz3RjgTVX9V+p60WNNQgJ4A+ghIvunMu5ZwJMhx5TNk8AFqa8vwPrbQyUiAtwHVKrq79LuilSsItJJRNqmvm4BHAcsIWJxqur1qrqfqpZhf48vqeq5RCxOABFpJSKtg6+xPusKIharqn4EfCgiPVM3jQIWE7E4q/kOVd0/EEasYQ+CFGmg5SRgGbAS+GXY8aTF9QiwFtiKfYL5HtABGxxcnjq2j0CcR2PdZm8DC1KXk6IWK9APeCsVZwVwY+r2SMVZLeYRVA0CRy5OrG99YeqyKPj/iWisA4B5qd//VKBdFONMxdoS+ATYI+22osfqK4Gdcy6hktAF5JxzLgNPAM45l1CeAJxzLqE8ATjnXEJ5AnDOuYTyBOCccwnlCcA55xLKE4DLWab9C1K313m/BRH5dxG5Ng8xvZbDY9qKyI8aeq4c4/mqgc+v9ftp4Os3KL5aXvu+VCG2MWm3nSEizxXqnK5hPAG4uniAavsXhL3fgqoemcPD2gJ1SgBiiv7/keP3E1UDgCuA36U252kF3AxcFmpUrkaeAFzOVHUm8Gm1mw8HVqjqO6q6BStuNj7T80Xkl6mWwotAz7Tbp6ZKDS8Kyg2LyK8ltfNY6vrNInJlhtf8KnUsS+0C9efU67yQqgcE8FvggNTuS/8lIueK7Ry2QETuSSWx9Ne4C9tL4L70lkOq1XJNTTFXi6uViDwttjtZhYicmcv9uXw/InK+iLydeu5Daa+Z8fuqSQ0/92w/x+rPP0hEZontFnY10FlVZwFPAT8DfgU8qKors8XhQhR2TQy/lNaFXTewOR34S9r184A/ZnjeIKAcq4HSBlgBXJu6r33q2AKr4dMhdZ43U7c3wuo4dcjwul+lxbUNGJC6/ihwbvWYgV7YG1TT1PW7gPPTHrcDGJq6PhB4Je1ci4GuNcVcLZ4JwJ/TnrtHtbgz3l/b9wP0wTYO6Vgtjhq/r0w/r1p+7hl/jtVepwkwFzg87XwzUl+3SsVYDjQP+2/WLzVfmuBcw+S638IxwBOquglARNIrsl4pIqemvu4C9FDVOSLyiYgMBPYC3lLVT2qJ5V1VXZD6ej72ZlbdKCwZvWFFTmnBzmV331fVOQCq+paI7Cki+wCdgM9U9YOaYsaKewXKgVtF5P9hxd5erRZHbffX9P20Ayar6sepGIMWWW3fVyaZvoePajhvdadh1WHnpq4vAjanYtooIpOwZPNNLTG4EHkCcA2Vcb8FEbkM+EHqtpNSx10Sg4iMwMo2H6Gqm0TkH8Buqbv/AlwIdAbuzyGW9Deb7dib4C6nBP5HVa+v4TU2Vrs+GWvldMa6t2qLGQBVXSYig7Dv/T9F5AVVvSnX+7N8P0LmBFvb97Xzg7N/D7n8HPthySEwCNt/IbCDnXc7cxHkYwCuoTLut6Cq/62pja/VNhSZCZwqIi3E6suPSz1/D+yT9SYRORjbdD7wBDbofBjwfANi/BJonfp6BnC6iOwJICLtRaRbludOTH1Pp2PJoLaYSb3uPsAmVf0bcCu2OUnO92cxAzhDRDoE8dfz+6r1e6jFJ0Df1LkGYbXtF9TxNVzIvAXgciYij2D16zuKyCrgV6p6n4hcjr1BNwbuV9VF1Z+rqm+mugUWAO8DQZfHc8AlIvI21m88J+05W0TkZeBzVd1e37hV9RMR+afY9NVngRuwPW4bYXsxXJaKKdNzF6US1mpN7deaLeY0hwD/JSI7Uue4tI731/S9LBKRm4FXRGQ7tv/Bhaq6WESyfl8i0oSqT/e5fA/ZPAQ8I7b/8lLgc6Cyjq/hQub7AbjISr2RvQl8W1WXhx1PqROR/tjA8+Fhx+KiwbuAXCSJrSVYgc0s8Tf/BhKRS7Ad6G4IOxYXHd4CcM65hPIWgHPOJZQnAOecSyhPAM45l1CeAJxzLqE8ATjnXEJ5AnDOuYTyBOCccwnlCcA55xLq/wPRtTHyvwZs3AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "if recalc:\n",
    "    fig,ax=plt.subplots(1,1,figsize=(6,5))\n",
    "    ax.plot(SiGlobalTot[sdir1]-SiGlobalTot[sdir1][0],'b-')\n",
    "    ax.set_xlabel('10-day intervals since '+t0.strftime('%b $d $Y'))\n",
    "    ax.set_ylabel('Difference in Total Si')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "if recalc:\n",
    "    ## plots related to sinking\n",
    "    fig,ax=plt.subplots(1,1,figsize=(18,5))\n",
    "    ax.plot(BSiTot[sdir1],'r-',label='bSi')\n",
    "    ax.plot(DiatTot[sdir1],'b-',label='diatoms')\n",
    "    ax.set_xlabel('10-day intervals since '+t0.strftime('%b $d $Y'))\n",
    "    ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "if recalc:\n",
    "    ## plots related to sinking\n",
    "    fig,ax=plt.subplots(1,1,figsize=(18,5))\n",
    "    ax.plot(BSiTotS[sdir1],'r-',label='bSi')\n",
    "    ax.plot(DiatTotS[sdir1],'b-',label='diatoms')\n",
    "    ax.set_xlabel('10-day intervals since '+t0.strftime('%b $d $Y'))\n",
    "    ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "std err total bsi is: 1627458027.1280026\n",
      "  std err 20m bsi is: 154378932.65563294\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "if recalc:\n",
    "    fig,ax=plt.subplots(1,1,figsize=(18,5))\n",
    "    ax.plot((BSiTot[sdir1]-np.mean(BSiTot[sdir1]))/np.std(BSiTot[sdir1]),'r-',label='bSi all')\n",
    "    ax.plot((BSiTotS[sdir1]-np.mean(BSiTotS[sdir1]))/np.std(BSiTotS[sdir1]),'r--',label='bSi surf')\n",
    "    ax.plot((BSiTot[sdir1])/np.std(BSiTot[sdir1]),'r:',label='bSi norm')\n",
    "    ax.plot(np.tanh(.5*(BSiTot[sdir1])/np.std(BSiTot[sdir1])),'b-',label='limiter')\n",
    "    ax.plot(np.tanh(.5*(BSiTot[sdir1])/1000000000),'g-',label='limiter2')\n",
    "    ax.plot(np.tanh(.5*(BSiTotS[sdir1])/200000000),'c-',label='limiter2')\n",
    "    ax.set_xlabel('10-day intervals since '+t0.strftime('%b $d $Y'))\n",
    "    ax.legend()\n",
    "    print('std err total bsi is:',np.std(BSiTot[sdir1]))\n",
    "    print('  std err 20m bsi is:',np.std(BSiTotS[sdir1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# for bSi sinking rate, use:\n",
    "# wmin+tanh(.5*bSi_20_sum/200000000)*(wmax-wmin)\n",
    "# need to use cvol = e3t* e1t* e2t, so update code above..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# copy restart and add 7 to Si old and new"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## repeat for N"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150101-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150111-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150121-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150131-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150210-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150220-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150302-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150312-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150322-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150401-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150411-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150421-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150501-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150511-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150521-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150531-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150610-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150620-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150630-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150710-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150720-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150730-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150809-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150819-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150829-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150908-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150918-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150928-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151008-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151018-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151028-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151107-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151117-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151127-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151207-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151217-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151227-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160106-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160116-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160126-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160205-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160215-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160225-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160306-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160316-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160326-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160405-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160415-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160425-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160505-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160515-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160525-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160604-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160614-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160624-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160704-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160714-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160724-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160803-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160813-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160823-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160902-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160912-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160922-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161002-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161012-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161022-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161101-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161111-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161121-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161201-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161211-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161221-*.nc\n"
     ]
    }
   ],
   "source": [
    "if recalc:\n",
    "    tlist=dlist\n",
    "    NGlobalTot=dict()\n",
    "    VolTot=dict()\n",
    "    NO3Tot=dict()\n",
    "    NH4Tot=dict()\n",
    "    PONTot=dict()\n",
    "    DONTot=dict()\n",
    "    DiatTot=dict()\n",
    "    MyriTot=dict()\n",
    "    NanoTot=dict()\n",
    "    MiZoTot=dict()\n",
    "    changeNGlobalTot=dict()\n",
    "    for idir in (sdir1,):\n",
    "        fformat1='%d%b%y/'\n",
    "        if idir.startswith('/data/eolson/MEOPAR/SS36runs/CedarRuns/'):\n",
    "            fformatT='SalishSea_1d_*_ptrc_T_%Y%m%d-*.nc'\n",
    "            fformatP='SalishSea_1d_*_ptrc_T_%Y%m%d-*.nc'\n",
    "        #elif idir==sdir1:\n",
    "        #    fformatT='SalishSea_1h_%Y%m%d_%Y%m%d_ptrc_T.nc'\n",
    "        #    fformatP='SalishSea_1h_%Y%m%d_%Y%m%d_carp_T.nc'\n",
    "        elif idir.startswith('/data/sallen/results/MEOPAR/202007/'):\n",
    "            fformatT='SalishSea_1d_????????_????????_ptrc_T_%Y%m%d-*.nc'\n",
    "            fformatP='SalishSea_1d_????????_????????_carp_T_%Y%m%d-*.nc'\n",
    "        else:\n",
    "            raise Exception('Name Error')\n",
    "        sumNO3=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        sumVol=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        sumNH4=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        sumPON=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        sumDON=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        sumDiat=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        sumMyri=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        sumNano=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        sumMiZo=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        ind=-1\n",
    "        for idt0 in tlist:\n",
    "            ind=ind+1\n",
    "            cdir=idt0.strftime(fformat1).lower()\n",
    "            iffT=idt0.strftime(fformatT)\n",
    "            iffP=idt0.strftime(fformatP)\n",
    "            if idir.startswith('/data/') and not ('link' in idir): #eolson/MEOPAR/SS36runs/CedarRuns/'):\n",
    "                sffT=idir+iffT\n",
    "                sffP=idir+iffP\n",
    "            elif idir.startswith('/results/') or idir.startswith('/results2/') or ('link' in idir):\n",
    "                sffT=idir+cdir+iffT\n",
    "                sffP=idir+cdir+iffP\n",
    "            print(sffT)\n",
    "            f=nc.Dataset(glob.glob(sffT)[0])\n",
    "            fP=nc.Dataset(glob.glob(sffP)[0])\n",
    "            #if idir==sdir0:\n",
    "            #    e3t=np.expand_dims((1+fP.variables['sossheig'][0,:,:]/np.sum(e3t_0*tmask,1)),0)*e3t_0\n",
    "            if idir==sdir1:\n",
    "                e3t=fP.variables['e3t'][:2,:,:,:]\n",
    "            Vol=A*e3t\n",
    "            sumVol[ind,:,:]=1e-3*np.sum(tmaskC[0,:,:,:]*Vol[0,:,:,:],0) #mmol/m3*m3*10^-3=mol\n",
    "            sumNO3[ind,:,:]=1e-3*np.sum(tmaskC[0,:,:,:]*Vol[0,:,:,:]*f.variables['nitrate'][0,:,:,:],0) #mmol/m3*m3*10^-3=mol\n",
    "            sumNH4[ind,:,:]=1e-3*np.sum(tmaskC[0,:,:,:]*Vol[0,:,:,:]*f.variables['ammonium'][0,:,:,:],0) #mmol/m3*m3*10^-3=mol\n",
    "            sumPON[ind,:,:]=1e-3*np.sum(tmaskC[0,:,:,:]*Vol[0,:,:,:]*f.variables['particulate_organic_nitrogen'][0,:,:,:],0) #mmol/m3*m3*10^-3=mol\n",
    "            sumDON[ind,:,:]=1e-3*np.sum(tmaskC[0,:,:,:]*Vol[0,:,:,:]*f.variables['dissolved_organic_nitrogen'][0,:,:,:],0) #mmol/m3*m3*10^-3=mol\n",
    "            sumDiat[ind,:,:]=1e-3*np.sum(tmaskC[0,:,:,:]*Vol[0,:,:,:]*f.variables['diatoms'][0,:,:,:],0) #mmol/m3*m3*10^-3=mol\n",
    "            sumMyri[ind,:,:]=1e-3*np.sum(tmaskC[0,:,:,:]*Vol[0,:,:,:]*f.variables['ciliates'][0,:,:,:],0) #mmol/m3*m3*10^-3=mol\n",
    "            sumMiZo[ind,:,:]=1e-3*np.sum(tmaskC[0,:,:,:]*Vol[0,:,:,:]*f.variables['microzooplankton'][0,:,:,:],0) #mmol/m3*m3*10^-3=mol\n",
    "            f.close()\n",
    "            fP.close()\n",
    "        NGlobalTot[idir]=np.sum(np.sum(sumNO3+sumNH4+sumPON+sumDON+sumDiat+sumMyri+sumNano+sumMiZo,2),1)\n",
    "        VolTot[idir]=np.sum(np.sum(sumVol,2),1)\n",
    "        NO3Tot[idir]=np.sum(np.sum(sumNO3,2),1)\n",
    "        NH4Tot[idir]=np.sum(np.sum(sumNH4,2),1)\n",
    "        PONTot[idir]=np.sum(np.sum(sumPON,2),1)\n",
    "        DONTot[idir]=np.sum(np.sum(sumDON,2),1)\n",
    "        DiatTot[idir]=np.sum(np.sum(sumDiat,2),1)\n",
    "        MyriTot[idir]=np.sum(np.sum(sumMyri,2),1)\n",
    "        NanoTot[idir]=np.sum(np.sum(sumNano,2),1)\n",
    "        MiZoTot[idir]=np.sum(np.sum(sumMiZo,2),1)\n",
    "        changeNGlobalTot[idir]=[NGlobalTot[idir][ii+1]-NGlobalTot[idir][ii] for ii in range(0,len(tlist)-1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "if recalc:\n",
    "    #plt.plot(SiGlobalTot[sdir0]-SiGlobalTot[sdir0][0],'r-')\n",
    "    #plt.plot(SiGlobalTot[sdir3]-SiGlobalTot[sdir3][0],'g-')\n",
    "    #plt.plot(40,test-SiGlobalTot[sdir1][0],'r*')\n",
    "    #plt.plot(40,test2-SiGlobalTot[sdir1][0],'k*')\n",
    "    fig,ax=plt.subplots(1,1,figsize=(6,5))\n",
    "    ax.plot(NGlobalTot[sdir1]-NGlobalTot[sdir1][0],'r-')\n",
    "    ax.set_xlabel('10-day intervals since '+t0.strftime('%b $d $Y'))\n",
    "    ax.set_ylabel('Difference in Total N')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "if recalc:\n",
    "    plt.plot(SiGlobalTot[sdir1]-SiGlobalTot[sdir1][0],'b-')\n",
    "    plt.plot(NGlobalTot[sdir1]-NGlobalTot[sdir1][0],'r-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "if recalc:\n",
    "    pickle.dump(SiGlobalTot[sdir1],open('SiGlobalTot_202007F.pkl','wb'))\n",
    "    pickle.dump(NGlobalTot[sdir1],open('NGlobalTot_202007F.pkl','wb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "SiGlobalTot7F=pickle.load(open('SiGlobalTot_202007F.pkl','rb'))\n",
    "NGlobalTot7F=pickle.load(open('NGlobalTot_202007F.pkl','rb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "SiGlobalTotHC=pickle.load(open('SiGlobalTot_HC1905_1d.pkl','rb'))\n",
    "NGlobalTotHC=pickle.load(open('NGlobalTot_HC1905_1d.pkl','rb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "SiGlobalTotHC18=pickle.load(open('SiGlobalTot_HCDec.pkl','rb'))\n",
    "NGlobalTotHC18=pickle.load(open('NGlobalTot_HCDec.pkl','rb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "SiGlobalTotHC1=pickle.load(open('SiGlobalTot_HC19spin1.pkl','rb'))\n",
    "NGlobalTotHC1=pickle.load(open('NGlobalTot_HC19spin1.pkl','rb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "#SiGlobalTotT3=pickle.load(open('SiGlobalTotT3.pkl','rb'))\n",
    "#NGlobalTotT3=pickle.load(open('NGlobalTotT3.pkl','rb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "#SiGlobalTotZ1=pickle.load(open('SiGlobalTotZ1.pkl','rb'))\n",
    "#NGlobalTotZ1=pickle.load(open('NGlobalTotZ1.pkl','rb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "#tit='spring2015_Z3'\n",
    "#SiGlobalTotZ3=pickle.load(open('SiGlobalTot_'+tit+'.pkl','rb'))\n",
    "#NGlobalTotZ3=pickle.load(open('NGlobalTot_'+tit+'.pkl','rb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "bdir='/data/eolson/MEOPAR/SS36runs/CedarRuns/'"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "tit='spring15spun_Ztest'\n",
    "SiGlobalTotZtest=pickle.load(open(bdir+tit+'/SiGlobalTot_'+tit+'.pkl','rb'))\n",
    "NGlobalTotZtest=pickle.load(open(bdir+tit+'/NGlobalTot_'+tit+'.pkl','rb'))"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "tit='spring15spun_Z4'\n",
    "SiGlobalTotZ4=pickle.load(open(bdir+tit+'/SiGlobalTot_'+tit+'.pkl','rb'))\n",
    "NGlobalTotZ4=pickle.load(open(bdir+tit+'/NGlobalTot_'+tit+'.pkl','rb'))"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "tit='spring15spun_Z5'\n",
    "SiGlobalTotZ5=pickle.load(open(bdir+tit+'/SiGlobalTot_'+tit+'.pkl','rb'))\n",
    "NGlobalTotZ5=pickle.load(open(bdir+tit+'/NGlobalTot_'+tit+'.pkl','rb'))"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "tit='spring16spun_Z6'\n",
    "SiGlobalTotZ6=pickle.load(open(bdir+tit+'/SiGlobalTot_'+tit+'.pkl','rb'))\n",
    "NGlobalTotZ6=pickle.load(open(bdir+tit+'/NGlobalTot_'+tit+'.pkl','rb'))"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "tit='spring16spun_Z7'\n",
    "SiGlobalTotZ7=pickle.load(open(bdir+tit+'/SiGlobalTot_'+tit+'.pkl','rb'))\n",
    "NGlobalTotZ7=pickle.load(open(bdir+tit+'/NGlobalTot_'+tit+'.pkl','rb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fda9bc18970>]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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9joPWAY2iwUXvwiMdH+HEkyeYcsMURrYbWeG9Cw8uJODjgLJ2PINalK5ayC7Krs2PcNVaHLmYGbtmUGwuvuxEFOC5ns9VmIg+9etTPP7L43x78FusqnynEqI+k5nRWvRTaipDjhxhS/v29PbwsHc4QtRLqmplx47GGAwtadv2V3uHU8aqWm2ylPZ8sY58Uz5nMs9wMv0kQ38cyo/3/MjQVkNtEKkAKLGU0GZWG6yqlcPjD9uk6NDrG15n2pZp5LyYUzbjJmrO8qPLGfrjUGYPnM3YTmOrde/R1KO0/qI17o7uDA4fzPzB82smyGvQquOruG/5fXQK6sRfI/+6oj24ZquZbbHbCHQNpJl3M1RV5Ym1TzBrzyye7/E8Tjonlh1bxrEnjtnwEwghbElmRuuQmzw8uN/PD4NWa+9QhKi3FEWDv/8IMjL+wGRKsXc4ZSaum8joVaO50hd856tGGhwMtPFvw10t72LJ0CXc2eJOW4Qp/vHlni85kX6Cj2/92GbVb7sEdcGqWtmftN8mzxOVKzIXMemPSbTxa8OYDtVv/9HKtxW9G/QmuzibEGNIDUR4bVhyeAlf7P6C+Jx4AD7Z/gl3LbmLCL8Ilt2z7IqLQRWbi+m7sC9f7/sagO8OfVeWiH5wywf4Gnw5nnacs1lnr/izCCHsQ5LRWuSh1/Ndq1Z0cKt7+9yEqE/8/EYAFlJSltg7FAB2xu3k812f4+bgdkVL0iqiUTTc2/peqfBpQ/mmfN7a9BY3N7qZgc0H2uy5XYK7AKW9LEXN+nzX50RnRfNJv0/Qai7vBe8LvV6gpU9LJnafCMDcfXO5cYG0dqmqJYeXMHz5cJ5Y+wRTN08FoKFHQ+5rcx+bHtqEv6v/FY9hcDDQI7QHf0b/SYmlhNc3vk6v0F681/c9FEXhhoY3ALDp7KYrHksIYR+SjNYyVVU5WVBAntk2e5SEuBa5ukbg6tqRuLhPsVpNdo3FZDExds1YgtyCmHrT1BobZ+HBhdzx/R022994LZu7fy7phelMuXGKTV8eBLgGEGIMYU/itbUFxR5GthvJJ/0+4ebGN1/2MwY2H8jRJ47i4+IDQE5xDhtjNpJWkGarMK9a22O3M2rlKHqF9uLAYwd4rudzANzV8i4W3b0IZ72zzcbq26gv+xP3k1Ocw5bRW/j2rm/LXkBE+EXg5ezFphhJRoWoryQZrWW7c3NpsWsXazMy7B2KEPVao0ZTKSqKIiHhS7vFsDNuJ62/aM2h5EPMuH0GRkdjjY2loPDzyZ/pM7+PLEm7Qq19W/NU16foGdrT5s9+7+b3LmvZqKgaVVWxqlb8DH5lM5q2cr6ly4m0EzZ97tWm2FzMvcvuJcQYwsrhK2kX0I6mXuVb2tlK38Z9UVH5K/ovQowhNPL8tz+pRtFwfdj1bDy7scbGF0LULElGa1lHV1e8dDp+TE21dyhC1GteXrfh4XEzMTFvUVKSZZcYAt0C8XDyYM19a7ir5V01OtaD7R5k8d2LiUyOpP3s9qw8vrJGx7ua3dz4Zj67/bMaefb9be8v648obKPEUlK2F/u7Q9/Re15vUvNt/29oC+9/ktF0SUYvxlHnyOK7F/PLiF/KZpVr0vnl7z8c+aHC8w+1e4hHOjwiFceFqKckGa1lOo2GRwID+Sk1lbNFRfYOR4h6S1EUmjT5CLM5k3Pn3q3Vsf888yeFJYU0cG/A7kd3M6D5gFoZ974297H/sf009WrKPT/ew7nsc7Uy7tVCVVU+2f4JyXnJNTaGyWJi89nNxGTF1NgY15rZe2cTPjOcd7a8wzO/PYOKipezl83HaejREAetg8yMXsT5lwLXhV1XNpNc03QaHaefOs38O+dXeP7O8Dt56bqXLnvvsBDCviQZtYMng4NRgM/j4+0dCkCl1T+TiovZnZNDvkXeNoq6yc2tPf7+DxIX9ylFRbWzdDU6M5r+i/vzyl+v1Mp4/18Tryb8dO9PLBm6hGC3YLvEUF/9evpXnv39WX6L+q3Gxsg35dNnfh8WHVpUY2NcK87PdDX0aIifwY9X/nqFnOIc5gyaUyOJh1ajZVDzQbUy21dfPf/78wxfNvyKq4ZXVxOvJrg5Vl78MbMwk4NJB2sxIiGErUgyagehTk4M9fVlSUoKFjv1eT3vSH4+nfbu5WBeHhZV5YNz5zhRUADAyrQ0uu7bxx2RkXaNUYiLadRoKoqiEBX1fK2M9+qGV9EqWp7t8WytjFeRUPdQ7m5590W/kKfmp1JQUlCLUdV9H277kFBjKPdF3FdjY3g6e9IjpAcfb/+YM5lnamycq12xuZjOX3fmq71fMbD5QLaM3sLxJ46zfcx2Wvu1rrFxl927jEm9JtXY8+uzfFM+c/fPRavR2rxq+JUavWo0Q3+UPsxC1EeSjNrJx02bcrhLF7R2+gvdoqrszc0ly2wmyWSi2969dNyzhxfOnGFxcukStgHe3kwIDuavrCyO5OfbJU4hLsXJKZQGDV4hNXUZ6em/1uhYexP2sjhyMc90f8buvQlVVWXKpilM3zG93Lmsoiz8PvJj9KrRtR9YHXUs9RgbYzbyRJcnarxNznd3f4eKyt1L7pYXApfpnS3vcCDpAGHuYWXHWvi0oFNQJztGdW374fAPZBdn83jnx+0dSjl9wvpwOuM09/90Py+uf1FWJghRj0gyaifBjo4YdTpUVa315S4AG7Oy6Lx3LxklJRzs3Jm+np7EFRezqGVL3mzYECidwX0tLAxHRWFWHVlSLERFGjSYhItLOKdOPYHFUjNf/lVVZfL6yfi4+DC51+QaGaM6FEVhT8Iepm6eSr7pwpdF0zZPA2BC1wn2CK1Omr13NnqNnoc7PFzjYzX2bMziuxdzKPkQ49aMq/HxrjbH047z7t/v8kDbB+jXtF+tjv3rqV/x+9CP42nHa3Xc+mDWnllE+EXQK7SXvUMpZ0irIdzQ8Aa2ntvK+1vfZ+GhheQU59g7LCFEFUgyakcxhYW027OHBUlJtT724uRk3LRa+np64uvgwJq2bUnu2ZMR/v4XLL/xcXDgHj8/FiYnS29UUWdpNI40azaLoqJozp6dViNj5BTnYLKYeLn3y7g7udfIGNX1Qq8XSC9MZ+7+uWXHojKi+GzXZzzc/mF6Nah7XxrtJac4h2ERw/A1+NbKeLc3u50Pb/mQoa1k6WB1fbrjU7QaLR/f+nGtj+3t4k1qQWqVixipqsqehD2UWEpqODL72h2/m72Je3m88+N1bokuQAP3BmwYtYGYiTFYXrewdsTaGm21JYSwHZ29A7iWhTg64qbV8siJE+gUhQcCAmpl3CKLheWpqdzt44Oz9t89ZzpNxe8mng4OJsJgwL67W4W4OE/PG/D3H0Vs7If4+z+AwdDSps93d3Jny+gtdlnJUJleDXrRu0FvXtvwGn4GP4ZHDOfFP19Ep9HxaKdHeWn9SzzS8RGaeDWxd6h2N+/OeVhVa62O+VzP52p1vKtBYUkhiyIXMaz1MPwMfrU+fnXau2yM2cjkPyazO2E3YzqMYc4dc2o6PLtp4N6At254iwfaPmDvUC5Jo2hAKW0JVNNL8oUQV05mRu1Ip9HwW9u2XO/hwcjjx/kqIaFWxl2bkUG2xcIIf/8qXd/ZaOSFBg1w08m7C1G3NWnyAapqISVlsU2fa1WtpBekA9S5WYHv7vqOVr6tmPDrBOJy4jiccpgXer2Au6M77219j22x2+wdot2db4GjUWr/n7x8Uz5vbnyTP8/8Wetj10fOemd2PLKDV69/1S7juzu5E+AacNFluharhaFLh3LjghtJzEvkpd4v8UKvF4DKq9PXd/6u/rze5/V6M9s4auUoes2TlSFC1AeSjNqZq07HL23acLuXF4+dPMnyVNs38v7/lqWm4q/Xc5OHR5XvMVmtLE5O5mBeXs0FJsQVcnDww2BoQ07OTps+d+u5rQR+HMiG6A02fa4thHmEsfmhzWx6aBMhxhAOjTvE5F6TaebdDCedEweSDtg7RLvan7ifsOlhLDu6zC7jO2gdmLNvDu/+feW9cFVVJasoi59P/GyDyOquVr6taOrV1G7jt/BucdFkdN3pdSw/tpyXe7/MySdP8s7N79DMuxmqqvLQqodYf2Z9LUZbsyxWC8OXDWdTzCZ7h1ItQa5B7E/aT2FJob1DEUJcgiSjdYCzVsuKiAgmhYbSy1jzbx3ntmjBurZtK12WWxGT1crjJ0/yWnS0zeJILC4mobjYZs8TAsBo7E5Ozk5UGy7JXBS5CL1WT5fgLjZ7pi3ptXpa+rYs+28nnRM6jY4IvwgOJl/bvfc+2/UZTjonbm50s13G12v1TOg2gT+j/yzrg2hVrZxKP1Xu2l9O/sKI5SPIKsoqd27l8ZXc8cMdfLTtI+744Q7OZtVOX93atD12O8OWDSM+x74F8+5ueTcDmg2o9PztzW7nlxG/MOXGKTjrncuOF5mL2JOwh/uW31c2G1/fzdk3hyVHlpCSn2LvUKqlW0g3zFYz+5P22zsUIcQlSDJaRzhoNHzQpAkBjo5Ya7jCrrNWS3u3yptHV8RVp+OlBg34OT2dX9PTy47nmc1MiYkh2WSqdhzzkpII37WLPzIyqn2vEJUxGrtjseRQUGCbapgmi4kfj/7InS3uxNXB1SbPrC3t/dtzIOnAVbt08FI2xWxi/oH5PNHlCTydPe0Wx6MdH8WgN/DJjk/K4mr+eXMWHlxYdk1OcQ5jVo/h+8Pfc+u3t2K2/lswblvsNkYsH0FKfgrDI4YD8OPRH2v3Q9SCWXtm8eupX+1eIGxCtwm8cv0rlZ7XKBr6N+tfrs+vs96Zn+79iWJzMUOXDqXYXL9ftmYWZvLKX69wfdj19a4QV7fgbgDsjLPtKhkhhO1JMlrHZJWUcOOBA8xJTCx3TlVVcqtR0TbNZCr3JfTFqChmXmablmdDQ2nu7MyE06cptloxW60MP3qUN2Ji+OBc9d8Cj/L3x12n4/ZDh/hSWscIGzEaS7+E2Gqp7u9Rv5NRmMH9be63yfNqU7uAdlhUC+mF6Ze++CpTUFLAmNVjaOLZhCk3TrFrLJ7OnoxuP5oFBxeQmp9Kn4Z9cNQ68vS6p0nMLf27/u1Nb5OSn8K0m6YxrvM4dBodO+N2cveSu+k9rzeBboH8fN/PRPhF0DmoM0uOLLHrZ7K1tII0lh5ZyoNtH6wTL32KzcVsPbe13PH7f7qf/23/X6X3tfBpwYLBC9idsJun1z1dkyHWqIKSAoYvH05mUSaf3vZpndsrfymBboE0cG/Ajvgd9g5FCHEJkozWMUadDr2i8GxUFGeLii44N+bECUYfr9psz/LUVDrs3cuB/+zxLLRYmBEfz9H8/IvcWTkHjYYZzZpxurCQ/8XG8vTp0/ySkUGooyPfJSdTYr30sshcs5k7IiPZn5tLiJMTR7p0oZ+XF4+fOsXrNlwCLK5dLi4t0GrdycmxzZeQxZGL8Xb25tYmt9rkebXpsU6PkTE5Ax8XH3uHUuv2J+4ntSCVOXfMwUXvYu9weKbHM4QaQ4HSmbVDjx+iyFzE4788TnpBOjN3z2R0+9G8fN3LZb1QX/rzJTbGbOSV615hx5gdZdVl7211L3sS9nAm84zdPo+tTd8xHZPFxBNdn7B3KABM3TyVPvP7kJr/bx2HQ8mHWBy5mCJz0UXuhLta3sVzPZ5j3v559XY59Zx9c/gj6g++HvQ17QPa2zucy/JCrxe4K/wue4chhLgExV7Ltzp37qzu2bPHLmPXdeeKimi1axd9PT1Z2aYNAHtycuiybx+TQ0N5v8nF2zQsT01l+NGjdHVzY327dmXtW1anpXHn4cP83rYtt3h5XXZ8T586xa1eXphVlf25uVzv4cHW7GyeDQ3FoNWWu35nTg6vRUdzurCQc0VFqMDKiAgG+ZR+QbaoKo+dOMF3yckc7dqVxs7O5Z4h6qfCkkK+3vc1Pi4++Bn86BPWp1ZK7R882A+TKYkuXa58v+SZzDMcTztO/2b9bRCZqE1ZRVl4OHnYO4xKfbTtIyb9MYnFdy8mwi8CP4Mf/q7/VjmPzozG1+BbbqbwbNZZGn7akNkDZzO209jaDtvmMgszCZsexm1Nb2PpPUvtHQ4AB5MO0n52e2YNmMW4zuOA0lnR1SdWc27iuUsu+84z5WGxWuy+5Li6VFVFURSsqpWdcTvpEdrD3iEJIeo5RVH2qqraudLzkozWTR+eO8fkM2dYHRHBQG9vrtu/n1OFhZzq1o30khKyzGY6VLDv86fUVIb9k4j+2rYtOkUhxWSiobMzDx8/zk+pqaT06oVDNYoXXakhhw+zPjOT/t7eNHV2pq+nJ33+XyVfs9XKkYIC2rmWfukqsVpZlZbGktRUvHU6hvn5caOn/fZ8ictzJvMMTT779+XJsNbD+GHoDzU+bnT065w9O43evbPR6ey/5M+eXlr/ElbVyvu3vG/vUGrN1nNb6RHawy6tXKrDYrUwYPEAHmr/UNle0KqKyYqhoUfDmgmslmUVZfH+3+9zX5v7aOvf1t7hAKVJWcuZLQl0C2TDqA18vfdrxq4Zy0u9X+Kdm9+xd3g14kDSAR7/5XGWDl1KqHuovcO5YqqqEpUZhZPOiRBjiL3DEeKadalktG7/S30NmxgSQisXFz6OjWVpaipbc3KY1qgRblotgyIjuf/YMUz/b1lsrtnMqOPH6fxPImrU6ei5bx+PnDiB2WpldVoaA7y9ayQRLbZaWZaSQmZJSblzC8LD2dS+Pd+3asXbjRqVS0ShtOfq+UT0f7GxeG3dyj1Hj7I1O5ulqakcvsylxcK+Gno0JHVSKseeOMaknpNYcmQJK4+vrPFxjcbugJXc3Mt/4WWxWnho5UNsj91uu8Ds4ET6CVYcX3HRa6xWE1lZf18VhY4OJR+i9ze9mbV7lr1DuSStRsuv9/9a7UQUuGoSUQAPJw/e7ftunUlEobSf8LDWw9gUs4nI5Eie+e0Zbmt6G2/d8FaVn7Ejbge95/W2e3Xgqvj24Lf0mNuD2OxY0grS7B2OTRSZi2g5s2W9+LtAiGuZJKN1lF6jYWVEBGvatOG16Gjau7oyOjAQRVF4r3FjjhUU8Elc3AX3ZJrN9PX05JMmTTDqdADc6+fHn1lZ7MjJobvRyD2+vjUS75H8fO45epQlKeXLv7vqdFWu3ltgsfBtcjLXu7vzc0QEsT16kN6rF+OCgmwdsqgFGkWDj4sP4T7hTLtpGh0DO3Is9ViNj/tvEaPL3ze65uQaFhxcQEJugq3Csov2Ae05nXGaPFPlPYJPnhzPgQPXcfz4KCyWi++Hq+um75iOi96FEW1G2DuUKrncwjBmq5n7lt/HO1vq9yzdtwe/Ze2ptfYOo0LDIoahorIjbgd/jfqLH+/5sVrbDIyORrbGbmX1idU1GOWVW3hwISNXjqR7SHf2jt1Lh8AO9g7JJpz1zrT1b8vOeKmoK0RdJsloHdbMxQVXnY61bdrwTYsWaP/50jLQx4c7vL2ZdvYs6f+ZiWzg5MSKiAi6u/+7R2VMYCB6RWF5Whpr2rZlcA0lox1cXWnt4sKC5OQLjj97+jRzK6gMXBkXrZb9nTvzS9u2DPTxQasoKIqCvhaXFYuaodfq2T5mOy9d99JlP+P3qN9Zd3rdpcfSe+Ps3Izc3Mv/EjJj1wxCjaHcGX7nZT+jLmgf0B4VlcjkyArPp6b+RFLSXIzGniQnf8uBAzdQXJxUy1HaRnJeMosiF/FQu4fs2sqlNug0OorNxXyw9YMK+5LWB/mmfJ5e9zRf7vnS3qFUqJVvK/aN3ccjHR+ha3DXalf5benTkqZeTVl1YlUNRXjlDiUf4rE1j3Fjwxv5/YHfL9izfDXoFdqLDTEb6L+oP98d+s7e4QghKiDf8OuBpi4u5WYW32ncmDyLhQ//aamSUFzM6YKCcvf6Ozhwt48P0+PiKLBYaixGRVEYFRDAjpwc9ubmApBRUsKM+HhOVBCXuDY5aB0AWH9mPX0X9uXxNY/z2c7PKCi59J+R1SdW039Rf+7/6X5Mlkv3tTUau5GTs+Oylp4eTT3Kn9F/8njnx9FpdNW+vzYlJX3LsWMjycraUuFnbeffDoANJ2Zy+PDdbN0awMmT4ykpyaC4OJ4TJx7FxbUThtCvaN16Ofn5kezb142iorhyz6rrZu2ZhcliYkK3CfYOpVa83ud1souz+XTHp/YO5bIsPbKUzKJMJvWcZO9QKtUhsMNlz14risKdLe7kr+i/yCnOuei103dMZ+aumVjVS1elt6UG7g14oM0DfD/k+1opLlfb3rrhLSb1nMTR1KN8tfcre4cjhKiAJKP1VGuDgZH+/pj++fI5PS6OVrt3V7hn89F/lrguT00td86WHg4MJNDBgWFHjpBVUsLKtDTMqsq9NTQbK+oni9XCquOryCnOYenRpTy97mluX3Q7ucW5ld5zLPUYw5YNw8/gR0ZhBr9H/X7JcYzG7phMSRQXV78H7ifbP8FR68ijnR6t9r21yWRK5tSp8f/MaF7P3r0dSU29cH+oq+UkrY0aMlMXkZu7G6OxGwkJs9m5sxmHDg3AYilk2kkvwr+I4FRRAB06bMZsziQycgBmc/kv0FarmezsbZhMyeXO2ZOqqqw7vY4BzQbQwqeFvcOpFe0D2nNnizuZvnM62UXZ9g6n2ubsn0ML7xb0btDb3qHUmDtb3EmJteSSKzq6BXdj4m8T6buwL+eyq/93VnWpqorZasbDyYOv7/j6qpsRPc/T2ZP3+r5H9NPRLL93ub3Dueqpqlrvt3qI2ifJaD32TXg4/2valBKrlYVJSQzw9sZTX/7N5s2enhzo3Jn7/Wv2HxtvvZ4fW7fGVasl02xmSUoKjZ2c6FTF/aLi2qDVaJnRfwa7Ht1F+uR0vh/yPVvPbeXNjW9Wek8LnxZMuWEKe8fuJdwnvEoFNkqLGEFOzqWX6qqqytZzW8u+0HcO6szE7hPrfH/OmJg3sVqL6NRpH82bz8ZqNXHkyN2cODEWi6WA1NQVHD48kHm9WvL6wL10736ONm1W0bnzfgyGCPLzD/JL7q2sPvUHXs5etPFrg5tbJ1q3/pH8/CMcOXIvVmsJZnMuaWk/c+LEo2zfHsj+/b04depJe3/8CyiKwt8P/828O+fZO5Ra9UafN8gqyuKznZ/ZO5RqOZJyhG2x23ik4yOXPfNYH/QM7cld4XddtMWQqqp0D+nOrAGz2J2wm7az2jJ9x/QqrRi5XLP3zqbH3B6kF6TX2Bh1iaIo+BrkxXhNS07+lm3bAip8kSlEZaS1y1Xgxago3o+N5eeICAb62P/Ls1VVySgpIWDbNiY1aMC7jRvbOyRRx22M2UiXoC4YHAxYrBa0mtJ+tX+f+7usANJ55/vgXYrVWsLffxsJCnqcpk3/V+E1ucW5LDi4gC/3fMmR1CPM7D+T8V3GV3kMe8rPP8ru3W0JDn6cZs1mAKWfOSbmDc6dew8np0YUFZ3Fza0zbduuRaN152DyQToGdgRKfx8XHZjJg6uf4oG2D7Bw8MILPnNCwtecPDkWJ6cmFBefRVXNaLVueHsPpLg4nvz8I/TqlVonfp+yi7JRFAWjo9HeodjF13u/ZkDzAQS51Z9Cb3+e+ZOnfn2KjQ9txM/gZ+9w7ObPM3/y0p8vsfSepTT0aMiZzDOM/Xksf0b/yfjO45k5YKbNx4zOjKbNrDb0CO3B7w/8Xid+hsXVITJyMOnpq+jQ4W/c3XvZOxxRR0if0atcsslEwLZtAJRcfz26OlLoJ6awkDsOH+bbli3LWrYIcSlF5iJ6zO3B8NbDae7dnBE/jeC6Btfx+4MXLstVVZWsoqxLFqnZt683YKVjx23lzq08vpIn1z5JfG48nYM6M67TOIZHDMfgYLDlR6oxkZGDyMraTLduUTg4XPgSKiNjPcePP4jB0IbWrX9Cp3Pl9Q2v897f73F24lkC3QIpsZTQbEYzQowh/DnyTxx1jiw7uozd8bvLepKePTuN9PQ1eHjciKfnLbi790SjcSQx8RtOnHiYLl2OYDC0ssfHv8C4NeNYe2otx588jovexd7h2E19eInyX/Ut3iuRVpDGyfST9AztWXZMVVW6z+1OYm4ip546haPOsezc3+f+JsgtiMaetn2Za1Wt9F3Ylz0Jezg8/jAN3BvY9Pni2mW1mtm61QeLJZtmzWYRHDzO3iGJOkL6jF7l/B0cmNOiBctbt64ziShAsKMjiyURFdVUWFJIY8/GvPjni9y99G7a+LVh8ZDF5a67aeFN3P/T/Zd8ntHYndzcfVitFxY8UlWVj7d/jLeLN1tGb2H3o7sZ03FMvUlEMzJ+Jz19DWFhr5RLRAG8vPrSvfs52rb9DZ2u9GfwwbYPYraamb13NlBa3fiXEb+wYtiKsi/B+xP38+G2D8va74SFvULHjttp3PgdPD1vRKMpvc7D43oAsrI21/hnvZTd8bv5au9XDG019JpORM9ln6P73O5sitlk71AuKTY7lmJz8TWTiAI8uOJB7v3x3guKr60+sZpd8bt4o88bFySiAL0b9KaxZ2P2Juzlhvk3kJpvm5oPs3bPYkPMBj7p94kkosKm8vL2YbGUbnXJz6+4ersQFak72Yu4bGMCA7m7jhUJ0ms0REgiKqrJ09mT5fcuZ9k9y5jQdQJ/jfqrwn2b3YK78XvU75f8gmY0dkdVi8nLOwiUtpIoKClAURSW3bOMPY/uqXfFU7Kzt3PkyFCcnZsTHFx51ViNRn/Bl/1m3s3o36w/n+78lNf+eg1VVWnt1/qCfVQTu0/EWe/Mu3+/e9EYnJwa4+AQRHa2fRMfi9XC4788ToBrAG/e8KZdY7E3b2dv0gvSeWjVQxctBlYXjFk9hp7zel76wqvIxG4Tic+NL2svkpibyIR1E2jm1YxR7UdVep/BwcCWc1t47+/3rjgGVVVZFLmI25rexsMdHr7i54lrV1HRWfbvv478/CNlxzIz/wTA2bmFJKOiWiQZFULUOUNaDeHT2z+ttK/f/W3ux6JaWHpk6UWfYzR2AyAnZwcWq4URP42g78K+mK1m/F39610rg+zsbRw61A8HB3/at/8LrdapWvc/3e1psoqy+PX0rxSaC8ud9zX4MrbjWBZHLiYup/LWLoqi4OHRh6yszZfVOscWrKqVp359ir2Je/n41o+v2f2i5xkcDCwYvICzWWd5/vfn7R1OpRJyE1h/Zj0Dmw20dyi16tYmt9IhoAPvb30fi9XCu3+/S3pBaQG3i7WPCvcJZ2S7kczcPfOiP5NVoSgKvz3wW7n94UJU1+nTE8nO/ptz594vO5aZ+ScGQxs8PW8kL++Q3f5tEPWPJKNCiHqnjX8bOgR04INtH1y0f5+jYwgODkHk5Ozkud+fY/WJ1YxoM6LO9w6tSF7e4X8S0QDat9+Io2NwtZ/Rt3Fffn/gd/4a9VelS1qf6vYUVtXK7D2zL/osd/frMZkSKCo6U+04bMFitRCfG8/knpMZHjHcLjHUNb0a9OL5ns/z1b6v2BC9wd7hVGjZ0WWoqNzX5j57h1KrFEXhxd4vcjL9JCuOr+CjWz9i8+jNdArqdMl73+jzBlbVytTNUy9r7MzCTCaum0i+KR83RzepKiuuSHr6r6SlrcTBIYiUlB8wmZKxWIrIydmKp+fNGAxtsFiyKS6uf72qhX1IMiqEqJe+GPAFcTlxfL3360qvURQFnDoyeetqPt35KRO7TeTJrnWrJUlVJSd/i9VaTPv2Gy4rEYXS349bmtxy0VnExp6NmdRzEu0C2l30WfbaN1piKSGtIA29Vs/ye5fzXt/3ZJbnP6bcOIUw9zA+21U3W738cPgH2vq3vaBC9rViSMshtA9oT2FJIQ5ah7LK1pfS0KMhYzuN5et9X5Nnyqv2uCN+GsGsPbM4nHK42vcK8V8WSxGnTj2Fs3Nz2rZdh6qWkJDwFTk527Bai/DwuBmDoS0g+0ZF1dW/6QEhhAC6h3Rny+gtdA/pXnasoKSAVcdXAXB92PUEG4OZcjCaPxJyeaHnRKbd/JG9wr1i2dmbcXPretmJaHWcr6Z7MS4uLdHrfcjO3kxg4GiKi+M5fvwhPD37EhIysazYka19vutz5h+cz85HduKkq94y5WuBk86JdQ+so5FHI3uHUk5sdizb47Yz7aZp9g7FLrQaLXPvmEtGYUa1732jzxsY9IayrQuvb3idF3q9cMmiaxtjNrLu9Dr+d+v/6BbS7bLiFuK82NiPKCqKom3b33B1bYOnZz8SEmZhseQCWjw8rkdVrUBpMurt3d++AYt6QWZGhRD1Vs/QnmgUDZHJkTz/+/M0+KQBI34awYifRrA3cS8AU/q8wMwOMKlj37L+pfWNxZJPbu6estnI2pBZmMm3B7+t9LyiKLi7X0dW1mbM5rx/Ws1s5MyZF9m9O4K0tDU2jyklP4W3Nr1FoGsgjtqaSXavBuE+4TjqHCkoKSDflG/vcMqEGEPYPmY7o9uPtncodtMxsCN9G/et9n2+Bt+yl0TH044zbcs0NsZsvOR9539eHu/yeLXHFOK/iouTOHfuHXx9h+LldSsAISFPYTIlEh8/A6OxKzqdEb3eA0fHUPLyLn9mND//SFlSK65+kowKIeq1zMJMesztwcfbP6ZXg15sHLWRo+OPckPDGwDoFHY34UYtOTk77BvoFcjO3o6qmnF3r71k9NtD3zJy5Uj2JFTeD9rd/XqKis4QGTmQvLyDRESsom3bdSiKjsOHB5GWtsqmMb3616vkl+Qz/bbpsjT3EnKKcwj/PJxpW+rOLKSiKHQP6U6gW6C9Q6nXwtzD0Gl0bDp78WrWm89uZmPMRl7o9YKsIhBXLD7+U6zWIho1eqfsmJfX7Tg5NcFqLcLT8+ay4wZDm8teppuc/AO7d0dw5sxLVxyzqB8kGRVC1Guezp6sGbGGo+OPsmr4Kvo07ENL35Zl+yK1WgOurm3reTK6GdDg7l577TBGtRuFQW/g812fV3rN+Zna7OxNNG36Kd7e/fHy6kfnzgdxdm5BdPSrNnu7vS9xH3P2zeGprk9dk/sNq8voaKRPwz78b/v/iMmKsXc4RGdG8/iaxzmbddbeodR7znpnugZ3veTMaJh7GE93e5pHOz1aO4GJq5bZnEN8/Cx8fYfi4tKs7LiiaAgOLq3D4Ol5S9lxg6ENBQXHsFpLqjWOyZTG6dNPoSgOxMZ+SFZW3e+bLK7cJZNRRVHmKYqSoihKhTvfFUUJVxRlu6IoxYqi1N168kKIq9YNDW+gpW/LSs8bjd3IydlVZ5f9WCyF7N9/A4mJcys8n5W1GTe3juh0tde+xN3JnYc7PMx3h76rtPCJq2s7nJ2bEhr6PCEh/xaG0mgcaNjwTfLzD5Oa+qNN4pm1exY+Lj683ud1mzzvWvDuze+iUTS8uP5Fe4fCkiNL+HLvl/YO46pxQ9gN7Evcd9Fq4mEeYUy/bXqllbOFqKqEhNlYLNk0aPBCuXPBwU/Qps1a3N2vKzvm6toGVS2hsPBktcY5ffppzOZsOnTYjLNzU44dG4nZnH3F8Yu6rSozo/OB2y5yPgOYANTfyiBCiKua0dgDiyWHzMw/7B1KhdLSVpCdvYmTJ8eVq05bWjJ/R60u0T3v9T6v4+7kzhNrn6iwZ5yiaOna9SRNmnxY7pyf3724uLQmJuZNVNVyxbF8OfBLNo/ejIeTxxU/61oRYgxhcq/JLDmyhK3nttb6+Cn5KUzfMZ2BiwcyZdMUuod0J8wjrNbjuBr1adgHi2phe+z2cudismIYs2rMRZfYC1EZq7WY48fHcOrUU5jNuVitxcTFfYKHx824uZVvRaTR6PH2vv2CrRMGQxsA8vIOVTqOqqpER79GVNQLZGZuJDV1BSkpiwkLewWjsRstW35HcXE8p07Vzwr4ououmYyqqrqZ0oSzsvMpqqruBqo3Fy+EELXE13cozs7NOXHi0Vp/y6qqKllZW8jO3lbpNUlJ3+Do2AAnp8YcOXIPRUX/9mfLzd2NqhbXavGi83xcfHjv5vdw0jlVOgNT2d5NRdHQqNFbFBQcJzl58WXHoKoqeaY8tBptnViem57+K+fOlU++66pJPScR5BbE94e/r/WxN8ZsZMqmKZxMP8no9qNZOHhhrcdwterdoDcnnjzBrU1uveD4X9F/0fmrziw/tpzMwkw7RVc9cXEz2LevF1ar2d6hXPMslkIOHx5MUtI84uNnsmdPW6KinsdkSqxwVrQyLi7hKIruovtGExPncvbsVGJjP+TgwRs5cuRuDIYIGjQo3StqNHalYcPXSE7+juzs8i9dRCmzufLVEfWF7BkVQlz1tFoXWrZcSHFxPKdPT6yVMa3WEpKTF7F3b2cOHLieAwduqrC6YFHRWTIz/yQw8GEiIlZgtRZw5MgQLJYi4Px+UXB3710rcf9/j3R8hHX3r8Pdyb3a9/r43IWra3tiYt667C+aa06uoeH0hkQm27dnnaqqnD37LpGRAzhzZjI5ORfOOuXnH6ewMNpO0VXO4GBg5yM7mXH7jFof+97W93LumXOcfOokMwfMpJl3s0vfJKrESedEc+/mF7wMWnRoEbd+eyt+Bj92P7qbW5rccpEn1A1Wq5lz594nJ2ebzZb0i8tjseQTGTmQjIzfaNFiDh06bEFRdMTHf46rawc8PateBVqjccDZuUWlyWhhYRSnT0/Ew+NmevfOpHXrFYSETKRVqx/QaBzKrgsJeQZFcSA1dfkVf76rUWLifHbsaHRFlYvrglpNRhVFGasoyh5FUfakpqbW5tBCiGuc0diNsLCXSUqab9Mqr4WFZzh48NYLCi2UlGRw8GBfjh17AKu1gKZNP0Ov9+To0eFYLAUX3J+UtABQ8fcfhcHQivDwBeTm7uLQoVswmdLIytqEwdAGvd7bZjFXh6IoKIpCTFYMk/+YzLbYbRUu2a34Xg2hoS9QVBRFbu6uao+tqipvbnoTdyd3u86KWixFHDv2INHRL+Prew9arSvx8f8md2ZzHgcO3MCJE3WzUEyIMQRFUdgZt5NDyZUvm7OVInMR3x78FrPVXNYXU9jenoQ9jFo5ijxTHvE58Tz+y+P0DO3Jjkd21JvEPyNjLSZTPBqNC7GxH1T57xZhe6dOPUlW1kbCwxcSGDgGd/dedO58gEaN3qFFi6+rXcHc1bUNeXkHy/1/arWaOXbsQRRFR3j4N+h07vj6DqZp008wGFpfcK1OZ8TT82bS0lbIn43/OL/E+cSJ0bi5dcLJqYG9Q7oitZqMqqr6laqqnVVV7ezr61ubQwshBGFhr+Hq2oETJ8aWzTxeqZSU78nM/IMDB27m3LkPKCyMZv/+XuTk7CA8fD5duhwhJOQpwsO/paDgGKdPP1t2r6paSUqaj4fHzTg7NwTA1/duWrX6gZyc3ezb143s7K122S/6/y0/upzPd31Or3m9aPF5C5YdXVal+84vL87N3V3tMVefWM2+xH28dv1r6LX6at9vK6dPTyAlZRGNGk2lVasfCAh4iJSUHzCZkoHSlgclJcmX3cqgNqiqypO/Pkn3Od1ZdGhRjY71+a7PGblyJDvi6m8F6/ogvSCdhQcXsi12G3qtnrta3sX8wfPLKonXBwkJX+HgEEjTpp+Ql3egzu7rv9qpqpW0tNX4+z9AQMADZce1WgNhYS9VuFf0Utzd+1BcHEte3sELjsfGfkhOznaaN/8CJ6fQSz7Hx2cwRUVnyM+vuJDetcZqLeHYsQc5e3YqgYGP0KbNL+h01V+5VJfIMl0hxDWjtMrrW5SUpNis1Utm5gZcXMLx9b2bM2deYNeucEymJNq1+52AgFEoSulfs15efQkNnUxi4mzi47/AajWRlbWZoqJoAgNHX/BMP79htG+/EYslD6u1wC77Rf+/53o+R/Lzycy7Yx6uDq4MWzaMpUeWXvI+R8cgHByCyMmpXjKqqipTNk+hqVdTHmj7wKVvsAGLpYDY2E8oLo4vO5aWtorExK9p0OBFwsJeQVEUgoOfRFVNJCR8RUlJOufOfYCiOFJSkoLJlFYrsVaXoij8fN/PdAnuwgMrHuChlQ+xK36XzWcbMgszeWfLO9zW9DZ6N7DP0vJrRa8GvdAqWjbFbMLP4MeCwQto7NnY3mFVWVHROTIyfiUwcAwBAaNwcAji3Ln37R3WNSk/PxKzOaNaS3Evxc/vHhRFT3Lyd2XHzOZczp17Fx+fwfj53Vel5/j43AkopKWtuKw4iorOcuDAzWRk/H5Z99c1cXHTy16ONm/+FRqN/V7U2kpVWrt8D2wHWiiKEqcoyhhFUcYpijLun/MBiqLEAc8Cr/5zTf15LSeEuKaUJnYasrL+uuJnWa3F5ORsxcvrNlq1WkKTJp/g5taZDh224uHRp9z1jRq9jbt7b06deoLt24M5dWo8Wq07Pj53l7vW3b07nTrtomHDKXh7D7riWG3BzdGN0R1Gs2X0FnqF9uJketXK9huNXau9TPdo6lH2Je7jme7PoNPoLifcarFazRw9OoyoqGfZu7cLOTk7KS5O4sSJR3B17UDDhm+VXevi0gIvr9tISJhFTMwULJY8GjeeBkBBwdEaj/VyBbgGsP7B9UzqOYkfDv9Atznd2J1Q/Rnri5m+YzpZRVm8d/N7Nn2uKM/VwZUWPi145+93OJZ6zN7hVFtpKyuVgIAxaDSOhIRMJCvrr3L7sUXNy8ws/ffQw+NGmz1Tr/fG23sAKSmLyyqqJyUtwGLJpUGDl6q87NfBwR+jsedlJaOFhVHs3389WVl/kZg4r9r31zVFRbHExLyFt/egspejV4OqVNO9T1XVQFVV9aqqhqiqOldV1S9VVf3yn/NJ/xw3qqrq8c9/1//STkKIq5JO546bW+eyf3yvRE7ODqzWIjw8bkRRFEJDJ9Kx41YMhlYVXq/R6GnffiNt2qzFw+MGCgtPExg4Gq3WucLrnZzCaNjwtUrP24vBwcD6ket59fpXgdI9ghfj5taFwsJTlJRkVXmMVr6t2PXILoZHDL+SUKtEVVVOnhxLevoaGjR4GY3Gif37+3DoUD8sljxatlx0QVENgODgCZhMicTHf0ZAwEh8fe8BID+/7iajAHqtng9u+YDk55P57q7v6BLUxabPX35sOTc2upF2Ae1s+lxRsesblK6auFi/0brIajWTmDgXL69+ZVsUgoIeQ6s1EhsrnQJrW1bWXzg7N8PJKcSmz/X3fwCTKZHMzD9RVSvx8TNwc+uG0di1Ws/x8RlMXt4BCgtjqnxPfv5x9u+/HoslH6OxO9nZm+v9vtPTp58BrDRt+qm9Q7EpWaYrhLjmeHreRG7uTiyW/Ct6TmlCq6nWnk5F0eLtfTutW/9I796ZNGlSP794OWhLk7ODSQdp+llTNsZsrPRaN7fShCc3t+ozHoqi0CW4C17OXlcUZ1VER79MUtI3hIW9QePG0+jUaTfu7j3Jzz9EkyYfYTC0LHdP6ZfoZiiKAw0bvomjYyharWudnhn9L3cnd+5vez8qKm9ufJOv9n51xc/MM+Wh1+oZ2GygDSIUVfHBLR+wd+xeuoV0s3co1ZKevhqTKZ7AwLFlx3Q6I/7+D5Ce/jNWa7Edo7u2WK1msrI24eFxk82f7eU1AK3WneTk78jI+J3CwpOEhEyo9nN8fe8CIC1tZZWut1gKOXSoH6pqpn37jQQEPITJlEhhYVS1x64r0tPXkZa2nLCwV3F2bmTvcGxKklEhxDXHw+MmVNVMdvbfV/ScrKwNuLl1RK/3uKz7tVoDiqK9ohjsLcgtCHcndwYuHsj22Ip7wbm5dQao8lLdwymHGfvzWGKzY20WZ2Xy8g5z7tx7BAY+SsOGbwCly8vatv2Njh13EhQ0vsL7FEVDy5bf0rr1jzg5haEoCi4urer8zOj/p1E0bDq7ibc3v02J5crahbs6uLL/sf1M7D7RNsGJS3JzdKNjYEd7h1EtZnM2p09PxMUlHG/vC19ceHn1w2otkL6StSgvby8WSy6enrZPRrVaJ/z87iU19SdiY9/HwSEAX9+h1X6Os3MTDIY2VV6qGx//GcXF52jVagmurhG4u18HQHb2lmqPbU/5+cdJSJhDVNQkTpx4BGfnFoSGPmfvsGxOklEhxDXH3b0XiqK/oqW6FksBOTk7auRtcn3ia/Bl/YPrCXQL5LZFt3E0tXwyptd74uzcrMoVdb+P/J55++fhpHOydbjlJCbORlEcaNTonQv232g0eozGrhfdk2M0dsPH546yXxsMrSgoOFKj8daE53o8R1xOHD8evbI+j+Z/esleLfuYRM2Iinqe4uJ4wsPnlyu+4uFxA6CVqrq1KDNzA3D+9972/P0fwGrNJytrI0FB48pteagqH5+7yM7+m6ysi79ELilJ5+zZd/HyGoCn5w0AuLi0RK/3KevbXR/k5Oxmz562nDz5KHFxM9Drff75mXG0d2g2J8moEOKao9W6YDR2v6IiRtnZW1HVEpsWfKivAt0C+XPkn1hVKx9v+7jCa9zcupCTc+mZUVVV+fHoj9zU6CZ8DTXbAsxiKSAp6Vt8fYfg4OBTrXtVVeXZZ59l9Oh/KyG7uLTCZEqipCTjkvfm5Ni+ku3l6t+sP+E+4Xy8/ePLjqmgpICAjwL4eu/XNo5OXE3S09eRmDiH0NBJGI3llxbrdEaMxu5kZl4dlU/rg6ysvzAYInBw8KuR57u798bRMQxF0RMY+NhlPyc4+CmcnZsRGTmA3Ny9lV539uw7WCy5NG78bxE1RVFwd+9NVlb9mBktKcnk6NF7cXAIpGvX41x/fT5duhzA3b27vUOrEZKMCiGuSR4eN5Gbu4+SkszLuj8r6y8URYe7u7SvAGjg3oBR7Uah1VS87Nho7IrJlEBxccJFn3Mw+SCnMk5xb+t7ayLMC6SkLMViySYoqPpfkN58800++eQT5s+fz969pV+MzjdsLyi4eGXTtLSf2Levm00qOtuCRtHwbPdn2Ze4j01nN13WM/6K/ov0wnQaejS0bXCi3issjPonCZ3HiROP4OLSioYN36z0ei+vW8jN3UtJSXqNxGOxFHL27DskJ39fI8+vT6zWYrKz/67RFT6KoqFZs89o1mwmjo4Bl/0cBwcf2rX7A53Ok4MH+5GR8TtxcZ9y8OAt7N/fh4SEr8jLO0R8/OcEBIzC1TXigvvd3a+nqCjqgtZddZGqqhw//hDFxfG0br0UF5cW9X47z6VIMiqEuCaV7o+xXvaynczMDbi5dUWnc7VtYPXY5/0/56tBFRfC+beI0cWX6i49shStouWu8LtsHt//l5g4G2fnFtUqQAUwd+5cpkyZwogRI3B1dWX69OlA6cwoXLqibkpKaX/W9PS11Q+6hjzY7kEebPsgnk6el3X/Lyd/waA3cH2Y/XviirojPn4WO3c2JTLydk6cGIPFkkt4+Hy02sqX4Ht63gKoNql4/v9lZv7Fnj1tiY5+hZMnx15yFcPVLidnJ1ZrYY3sF/0vH587CAp69Iqf4+QUSvv2f6LROHDoUD9On55IcXE8JSVpnDz5GHv2tENRNDRsOKXcvef3jdaV2VGr1Vxhoa7Y2I9IT19N48YfVLh64GokyagQ4ppkNHZDo3Eu2y9THWZzDrm5e2r8H/D6KiqjfMVCV9f2gPaSS3X9DH7c0eIOvF28aya4f+TlHSInZwdBQWOrtcfxr7/+4rHHHqNfv37Mnz+fhx9+mCVLlpCQkICTUwM0Ghfy8yvfN2qxFJKe/gsAGRm/XfHnsBUnnRML71pIu4B2WKwWrKq1yveqqsovp37hlia34Ki7+vYzicuTlPQdp06Nx9t7IB06bKVbtzP07JmM0XjxdkJubl3Rao02X6p77tz7HDx4MwDNmn2BxZJHXNxnNh2jPikuTiI29mNKK8KX74tdVzk7N6F9+800bz6bbt2i6Nr1KF26HKZjx90EBz9Ns2azKmxR4+raHq3Wtc4UMYqKepatW/1JS1sFlP49GhPzNmfOTMbHZwghIU/bOcLaU/OdxIUQog7SaBxxd+9FVtaf1b639I29BQ+Pm20fWD238OBCRq0cxdHxR2np+29LFK3WBVfXNpecGZ3YfSITulW/9H9VxMV9Sm7uPgyGCHJydqAojgQEjKrWM9566y1CQ0P58ccf0ev1PPXUU8yYMYNZs2bx9ttv/1PEqPKZ0YyM37Ba8/H07Edm5m8UFcXZvLfflSg2FzNk6RA6BnZkyo3lZxcqcjjlMLE5sbze5/Uajk7UF6mpKzl+/CE8PG6iVasfLzoT+v9pNDo8PW8iI+MPVFW1SUEskymNmJgpeHvfQatWP6DVOpOZ+Tvx8Z8SGvosOp3xiseoywoKTnPq1BM4OoZgMLSmpCSNuLhPsVqLCQt75bIrwtuLi0tTXFyalv1aURSMxs4YjZ0rvUej0WE09qoTRYwslnySkr7BajVx+PBgQkOfx2zOIjFxDv7+D9KixZxrqhCczIwKIa5ZXl4DyM8/TH7+8Wrdl56+Bq3WHXf3XjUUWf3Vr0k/dBod3xz4pty50iJGO8nK2lSuUE5KfgqrT6xGVVU0iu3/aSopySAqajKpqT9y5sxk0tJ+ws/vHvT6qs/Anjp1is2bNzN27Fjc3NwAaNq0KYMGDeLLL7+ksLDwku1d0tKWo9N50rjxuwBkZtad2VEo7R/rb/Dn7c1vs/zo8ird4+HkwWvXv8aAZgNqODpRHyQnL+Lo0XsxGrsQEbGqWonoeZ6et1BcfJbCwtM2iSkubjpWayGNG7+HVusMQIMGr2A2ZxEf/4VNxqjLUlK+JzPzD9LT1xAV9Rznzr2Lt/cgunY9RqNGVXvpdDXw8LiO/PzDNbYfuapSU3/CYsmjTZs1BAU9TmzsRyQmzqFBg1cID19w2RWH6ytJRoUQ1yw/v+GAhuTkbys8r6pWUlN/oqjo7AXHMjJ+wcvrtnJtCQT4u/ozsPlAFhxcUK5vZUDAwyiKngMHbmDPng5ly1UB3tr4FncvuZuz2Wf//yNtIiXle1TVRIcO2+jVK50OHbbSrNnMaj1j3rx5aDQaRo26cDZ14sSJpKWlsXjxYgyGVphM8ZjN2eXut1qLSUtbjY/PYFxd2+PgEFSnlupC6QzDrIGz6BTYiad+fYrc4txKr1VVlYzCDELdQ5ly4xQC3QJrMVJR15QuM5zKsWMPYDT2pE2btZe9p7503yg2afFSUpJFfPwMfH2HYDD8u1rDaOyMl9dtxMV9jMWSf8Xj1GVZWZtwdW1Hr17J9OyZQvfuZ2nd+gdcXJrZO7Radb4+wKlTT1NYGG23OJKS5uPk1BhPz740b/4FrVuvoFWrpTRuPPWamhE9T5JRIcQ1y9ExAC+vW0lO/g71/+2RKyg4yYEDN3DkyBBOnPi38EJu7j5MpqRyzdrFv8Z0GENKfgozd1+Y7Lm7d6dHj1iaN/8aqzWfI0eGYbWWcDztOLP3zmZc53E1Vo01MfEbXF3b4+bWHr3eC3f3ntVammc2m1mwYAH9+/cnKCjognM33HADERERzJ07FxeX0oq6Fc2OZmb+icWSg6/vEBRFwcvrVjIz16Oqliv7cDbmoHVgZv+ZJOYlMnXz1Eqve23Da3SY3YHkvORajE7URaqqcvLk48TEvIa//wO0a/cbev3lFcMCcHZuipNTY86ceYGjR+8jJWUpVqupyvdbLIVl/52QMBOLJYcGDV4ud11Y2KuUlKRx+vQzFb5AuhpYrSZycraVJWIODr44OTWwc1T24e7ek+DgCaSm/sjOnc04fnz0BX9WakNhYQxZWX8REPBQWeLp6zsYP797ajWOukSSUSHENc3f/0GKi89dUNQgPv4Ldu9uS35+JF5eA8jM/KOsKE16+hpAg5fXbXaKuO4b0GwAA5sPZMauGRSbL6wWqNU6ExT0CI0aTcVqzWfjqUUMXToUg4OBN/q8USPx5OVFkpe3l4CAhy77GevWrSMxMZExY8aUO6coCkOGDGHHjh2YTKWtCyraN5qauhyt1oinZ18APD37YTZnkpNz8X209tAtpBsPtX+IH478QJG5qNz5n479xLQt07i18a34GWqmP6GoP5KTF5GYOJvQ0EmEhy9Eo7myQlaKohARsQJf32FkZq7n6NFhnDgx9pL3qapKVNRktmxx4/DhIaSn/0ps7Cd4efXHza1Duevd3XsRFPQ4iYlfs2NHI86efa/CCqf1WW7uXqzWQjw86k+RopqiKFqaNfuU7t3PEBz8OElJ80lJ+aFWY0hOXggoBASMrNVx6zJJRoUQ1zQfn8Fota4kJS0EStttnDr1BJ6eN9GlyzFatlyARuNEXNyn/5xfg9HYAwcHH3uGXacpisKCwQvY+cjOSqurGo29yDfDncvHkVmUyQ9DfsDX4Fsj8SQlzUdR9Pj53X/Zz5g7dy5+fn4MGFDxvsj+/fujqiobNhxDo3EmL+/gBeet1hLS0lbi7T2o7Iu6l9ctgFLn9o2e9/GtHxP5eCROugv3/KmqytTNU2nu3ZwvB355TS4rE/8qLk7k9OkJGI09adz4XZv9eXB1bUt4+Bx69kwiOHgCyckLL9k26dy5d4iN/RAPj+vJytpIZGR/zOZ0wsJeqfSe5s2/oFOnfRiNPYmOfono6KurEFdWVmnv4POtTQQ4OgbTtOlnODk1IiVlSa2Nq6pWkpLm4+FxE05OYbU2bl0nyagQ4pqm1brg6zuU1NRl5Ocf59ixBzEY2tG69XIcHQPQ673x9x9JcvK35OUdIi9vryzRrQIvZy98XHwosZQwc9dMdsfvJqsoi+jMaKZunoqjYzBehgZ81qM7x584zu3Nbq+ROKzWEpKTv8Pbe1CVXiBs27aNxMTEC47Fx8ezZs0aRo4ciV5f8T7hzp074+vry9q16/D0vIXU1B+xWv/dM5uRsRazOeOCpVh6vTdubp3r3L7R87ycvTA6GjFZTBxM+je5/uPMH+xP2s/knpPRaq7uZuzi4kqX5z6G1VpIePg3KIrt/zwoipaGDV9Hq3W9IFHMzz/Knj2dOHr0AVJSlhIb+wnR0a/+s0x4PT16xNGixTc0bTodd/eeFx3Dza0Dbduuwdf3XhITv7qq9pBmZ2/CxaUVDg4187KvvlIUBV/fe8nMXF9rBY2ys/+mqCj6ilbpXI0kGRVCXPP8/R/EYslh//5eqKqZ1q2XlVVcBAgJeRqrtYijR4cDSDJaDUuOLOHJX5+k65yueL7vSePPGjNl0xQiUyJxd+9JC8dTuDpcXpGTqsjI+JWSkpQq/eP/+++/06tXL4KCgoiIiGDUqFF07NiRBg0aYLVaK1yie55Go+H2229n3bp1+PuPxmRKIiNjbdn5+PiZODgE4+V14cyql1c/cnJ2Ulh45rI/Y00b/8t4blxwI7HZsQD8EfUHQW5BPND2ATtHJuwtOfk70tN/plGjd3BxaV5j4+j13oSEPENa2nJyc/dRXJzAoUO3U1QUQ0bGOo4eHUZU1LN4e99BixbzUBQNWq0zgYEPVatfY0jIBMzmLJKTF9XYZ6lNVquZ7Oy/ZYluJfz87gUspKauqJXx0tJWoNE44et7V62MV19IMiqEuOZ5eNyAo2MIZnMG4eHfXNC/DMBgaIWn560UFBzD0TEMg6G1nSKtfx5o+wAnnjzBimEr+KDvB0y9cSrRT0fT1r8tRmMvTKYEiovP1dj4ycmL0Ov9qrTH93//+x/+/v68//77BAUFsW7dOry8vHjllVfYtm0b4eHhF72/f//+ZGRkcPq0Nw4OgSQmzgFKi2FlZv5BUNBjaDQXtvcODHwErdaNo0fvq1aBltr0Qq8XMFlMPLjiQSxWCx/e+iEHHjtQ6RJsce04e/Zt3Ny6EhJSM72B/6u0H6gnZ868QGTkAEpK0mnX7g969UqmQ4e/adbsc1q1WnJFVc6Nxp64unYgLu6zcu2n6qO8vANYLHllxYvEhVxdO+Ds3JTU1KW1Ml5W1maMxh5otYZaGa++0F36EiGEuLopiobmzWdjMiXh63t3hdeEhEwkM/N3vL0Hyh65amru3Zzm3uVnTc73ac3O3lYj+2dUVSU7ezNeXrde8gvq0aNH+e2335gyZQqTJ09m8uTJ1R7v1ltvRavV8uuvvzN69EOcO/c+xcXxJCTMQlH0BAY+Wu4eJ6cwwsPncuTIUM6ceZmmTT+q9rg1rZl3M74Y8AWjVo7ihfUv8NGtH9XY/l5Rf5SUZFFYeIpGjd6pkeW5/59O505o6GSio18CtLRpswY3t45A6d8ltuj7rCgKwcETOHFiNFlZG/D0vOmKn2lP2dml+0U9PCQZrcj5pbrnzr2PyZRao0uZzeZs8vIOEBb2Wo2NUV/JzKgQosYdPXqUyZMns3PnTnuHUilv7/4EBj5c6Xkvr340bvweoaHP1WJUVzeDoQ0ajYHs7K018vyiohhMpiSMxovvFwP49NNPcXR0ZNy4cZc9nqenJz179mTt2rUEBDwMWImPn0li4jf4+g7B0TGgwvt8fYcQFPQEcXEfk5q6AoslH6vVVKdmZh5s+yBDWw3l4+0fs+zoMnuHI+qAvLz9AGUJYW0ICXkKT89bCQ+fj7d3zVQ09/Mbjl7vQ3z8jBp5fm3KytqEs3NTHB2DLn3xNer8Ut20tJ9qdJzs7G2AVV4MVECSUSFEjbBaraxZs4Zbb72V1q1b8+GHHzJo0CBiY2PtHdplURQNDRq8gLNzI3uHctXQaHQYjd3JyamZZDQnZxvAJYuXpKWlsXDhQh588EF8fa/szXj//v3Zt28f2dkGPDxu5Ny597FYsgkKeuKi9zVp8hEaTQuOHLmbLVtc2bzZkQMHbsRqNV9RPLaiKApz75jLR7d8xK1NbrV3OKIOyMvbB4Cra+0lo1qtgXbtfiMgoOb2K2u1TgQGPkZa2moKC6NrbJyapqoWsrO34O4u+0UvxmBoi7Nzc1JSanapblbWJhRFj9HYvUbHqY8kGRVC1AhVVZkwYQJHjx5l2rRp/P333xQVFTFkyBCKisr3LRTXJnf3XuTlHcJszrX5s7Ozt6HVumEwRFz0utmzZ1NUVMTEiROveMz+/fsDsHbtWgIDHwGsGAxtLrmEUKt14t13PZgxA2bPhv37G5GdvYnExK/LXWu1lpCQMIfdu9uSmPjNFcdcVUZHI8/1fA6jo7HWxhR1V27uXhwdQ6/KKq3BwY+jKBri4z+3dyiXLTt7G2ZzlhQvugRFUfDzu5esrI2YTCk1Nk529mbc3Lqg1brU2Bj1lSSjQogaodVq+e2334iOjubll1+mV69eLFiwgN27dzNhQs0XuxD1Q2mSZiUn58qWcKelrWbv3i4XtGTIzt6K0dj9ovvZioqKmDlzZtkM/pVq06YNTZs25Y033qCwsDNubl0JC3v9kvuMd+/ezbp1O2nV6lWaNXuNadOyOX7ckZiYNzCbs8uuS05ezK5dzTl58lGKiqI5fXoCRUUVF4BSVZWiovIrEUpKMuv1jI+oG3Jz99XqrGhtcnQM/qfNy9cX/PzVF6pqJSrqeRwcAvDxGWzvcOo8H58hgJX09J9r5PkWSwG5ubtliW4lJBkVQtSYZs2aXdCX8a677uLll1/m66+/xtvbm/DwcLp3706rVq3w9fXF39+fkydP2jFiUduMxm6AckVLdVVVJSZmCrm5e0hNLd3PaDbnkJ8fecn9otOnTycxMZEXX3zxssf/L0VRWL58OXl5efTvP5hGjX7Fz29ouXjPnj17wZ7QTz75BDc3NyZNmsSUKVOIjY2ja9f5lJSkcfbsNFRV5cyZlzh27H70eh/atFlL586HUFUrJ0+OL7e/1Got4dixB9ixowGRkYPJzz+O1WoiNvZ/7NjRiJ07G3PgQF/S0tagqlabfParkdVqRlUt9g6jzjGbcyksPImbWyd7h1JjQkOfxWLJJTFxrr1Dqbbk5G/Jzd1F48bvo9O52TucOs/VtR2OjmGkpa26oueYzXkV7vXPydmBqpqlqnElJBkVQtSqKVOmMGPGDIYPH07btm0xGo20bt2aoUOHUlxczLhx4+pU4RZbU1X1qv581aXTuWMwtLmiIka5ubvIy9sLKCQmzgMgJ2cXYL3oftHk5GTeeecdBg0axI033njZ4/9/bdu2ZdWqVZw5c4aBAwdSUFBwwfl3332Xhg0bMnXqVABiY2NZunQpjz76KEZj6RJYZ2dnOnYcTkDAKOLiPuXIkSGcO/cegYGP0aHDdry9b8fZuRGNGr1NRsYvF7QmsFgKOHz4LlJSFuPrey9ZWX+xe3cEO3c2ISrqOdzde9Co0VQKCo5z+PAgjh8fbbPPfrWJjBzIsWOj7B1GnZOXdwBQa7V4UW1zc+uEu3sf4uI+rTN7t6vCbM4hKuoFjMbu+PtLL+CqUBQFH587ycz844LVNdVRVHSObdv8OHz4Dkym1AvOZWVtBjSXrF9wrZLWLkKIWqXVannyyScrPNe+fXvGjRvHggULeOihh2o3sFpy++234+HhwQ8//GDvUOoMo7EbqanLUFX1strmxMfPRKt1JTj4Kc6de5eCglP/FC9SLlos4vXXX6ewsJAPP/zwCqKvWJ8+fVi0aBH33HMP/fr1Y9WqVXh5ebF69WpeeeUVAgMDef311/Hw8CA2NrZsj/X/16jRNFJSfiQtbQWNGk2lQYOXL/g9Cg6eQErK95w6NYHi4ngslgIyMn4hJ2cnzZt/SVDQY5hMqZw9+zb5+ZE0b/4V3t63AxAaOpkTJ8aQmvojzZvPRqt1svnvQ31WXJxIZuZv6HSeqKoVRZH39+fl5u4FwNX16p0ZhdLZ0cOH7yQtbTl+fsPsHU6VnD37NiUlKbRp87P8ma0GH587iY//jIyM3/H1vava96emLsdqLSQj43f27GlLePgCvLxKi71lZ2/G1bU9Op27rcO+KsifUiFEnfHoo4/Ss2dPnn/+edLS0uwdjs2dOHGC3377jaVLl3Lq1Kmy46qq8sUXX3DmzJly95hMptoM0S7c3DpjNmdSVFT9fYwmUyopKUvw9x9JcPCTgIakpG/Izt6KwdAGna7iYjuRkZHMmTOH8ePH06JFiyv8BBUbMmQIP/zwA7t27aJnz56sWbOG+++/n86dO3PixAkGDx7MhAkTmDFjBkOGDCEsrHyvVUfHIFq3XkZExCrCwl4pl6xrNDqaN/8aq7WIqKjniIl5jfz8o7RsuZigoMcAcHDwpVmzz2jffkNZIlp6rx5f33uwWgvJydleI78HdUFxcTwHDtxEevovFxxXVRWzOa/S+9LTVwNgNmdSUHC8RmOsb/Ly9uHgEFhpu6Krhbf3QJydmxEb+xF5eZFkZm4gPX0thYXRdXJ5e27uAeLiphMQ8DBGYxd7h1OvuLtfh07nWelS3bS0VaSmrqj0/tTU5RgM7ejUaQ86nTeHDvXj8OEh5ObuJSdnu+wXvQhJRoUQdYZGo2H27NlkZ2fz+OOPk5CQYO+QbGr+/PlotVp0Oh0zZvzbw+7HH3/kiSeeYNSoURcs4V21ahXe3t5s2rTJHuHWGje3zsC/sy3VkZg4F1U1ERz8BI6OQXh79ycpaT45OTsuuiRq0qRJuLu788Ybb1x23FVx7733sn79elJSUhg0aBCurq6sXLkSNzc3vv/+e26++WaKiop49tlnK32Gt/dt+PjcUel5N7f29OyZSO/eWVx/vYnrrsvG3394leIrrbSpJTNzfXU/Wr0RHf0GWVkbOHz4LlJTVwJgMiUTGdmfbdsCKi0AlZq6Ap3OA4Ds7L9rKdr6ITd371W9X/Q8RdEQEvIMubl72LOnLQcP3kRk5AB27mzM3397cPToiDqzp9hiKeTYsQfQ631p0uR9e4dT72g0ery9B5Ce/nO5ZdkWSz7Hjz/EsWP3U1QUV+7e4uJEcnK24et7N66ubejUaTdhYW+QmbmevXs7Y7UWyX7Ri5BkVAhRp0RERPDqq6+ybNkygoODadOmDY888giTJk3i7bffZvv2+jmDY7FYWLhwIbfddhvDhw/nm2++ITs7m6KiIl544QUMBgN///03q1aVvpXNy8vjySefJC8vj2eeeQarte69hbcVgyECRXEgN3dPte5TVQsJCV/i4XEjBkMrAAICHsZkSsRiycForLidyvkZ6kmTJuHl5XXF8V/Kddddx7Zt27jzzjtZtWoVwcHBADg5OfHzzz+zd+9eune/st5zWq0LOp07Go3+0hf/h05nxGjsRmbmn1c0fl2Vn3+MpKRvCAgYg5tbZ44evYfo6NfZvbstWVkbsVoLSEycU+4+szmbrKy/CAgYg17ve0V7mq82Fks+BQXHr9pKuv9fYOAjhId/S6tWP9Ku3QY6dPj7n+XuA0lJ+Z709DX2DhGAM2deoqDgCOHh36DXe9s7nHrJ2/tOzOaMcgX1kpMXYTZnYbUWEx39Srn7SmdTVXx9hwCg1TrTqNGbdO8eTYMGL+Pufh2enjfVxkeolyQZFULUOa+//jr79+/n/fffx9/fnzVr1jBz5kxef/11hg0bVi8LAP3xxx8kJCQwevRonn76afLy8pg3bx4zZswgJiaG5cuXEx4ezuTJkykpKeHtt98mLi6Op556iv3797No0aJqjbd+/fp6U5lYo3HA1bVttWdGMzP/pLj4LEFB48uOeXsPRK/3A6h0ZnTBggVotdpa3ZccHh7OypUr6dq16wXHSwsV2fdLvadnX3Jzd1NSkmXXOKrDYimosOVGYWE0JSWZZb+Ojn4FrdZA48bv0bbtbxiN3Tl79m0cHPzo2HE3Xl63k5g4B6u15ILnpKevRVVL8PW9C3f3XpKM/kde3kHAek3MjELpjFlAwAP4+Q3F0/MG3N17ERT0KOHhC3F0bEBs7Cf2DpGMjD+Ij/+U4OCn8PLqZ+9w6i0vr34oiuMFS3VVVSUu7jNcXTsQGjqJ5OSF5ORc+OI0Le0nnJ2b4+LS6oLjer0XjRtPo0OHzbJf9CIkGRVC1DmKotC+fXsmT57M+vXrSUpKoqCggLlz5xIbG8v+/fvtHWKV/Hc2c/78+Xh7ezNo0CA6depE7969mT59OtOmTWPAgAH069ePDz74gFOnTvHss8/yv//9j4cffpjp06fTuXNnXn755XJVWSuTnp7OwIED61U/V1fXTuTm7qnWi4acnB2AgpfXbWXHNBo9wcFPYjBE4OTUqNw9/52hDgwMtEXo9Z6nZ1/ASlbWRnuHUmXHj49m376eF+zbKynJYs+eduzc2YzExG/Izt5OWtoKQkMn4eDgg07nRtu262jZcjEdO+7C1TWCoKDHMZkSy/aHnpeWthK93h+jsTtGYy+KiqIwmZJr+2PWSbm5+wCumZnRymg0OkJCJpCdvans9+S/SkoyiI2dTk7O7hqNQ1VVTpx4BBeXljRuLMtzr4RO54an582kpi4vq6qblbWBgoIjBAdPICzsZfR6X6Kinin7t6qkJIOsrA34+t59WQX4hCSjQoh6ZNCgQWg0GlauXGnvUC5KVVXGjx+Pr68v06dPJzk5mZUrVzJixAgcHBwAePrppzl37hx5eXll1VwHDhxInz59+Pzzz3Fzc+O9995Do9Hw0UcfERcXx/Tp06s0/sKFCykuLmbDhg3k5ubW1Me0KTe3zlgs2RQWRlX5nry8/Tg7N0Onc73geFjYq3TpElnhF4P169cTHx9/1VZrvhxGYzc0GkO92TdqtZrJyFhHQcFRMjJ+LTuelPQNFksuTk6hnDjxMAcP3oxe709IyDNl12i1Bvz970OrdQbA2/t2HB0bkJDwZdk1FksRGRlr8fG5A0XR4u7eG0BmR/+Rl7cXvd4PR8dge4did4GBj6DVuhIX9+/saFFRLKdOTWT79gZERT3DmTMv1GgMRUXRFBefIyRkYtmfa3H5goOfpLg4jkOH+mM25xEX9xl6vQ9+fsPR6Yw0avQ22dl/k5DwBapqJT19DapqxsfnbnuHXm9JMiqEqDd8fX257rrr6nwy+umnnzJr1iy8vb155plnaN68OcXFxYwe/W8/x8GDB9O6dWsmTpxIy5YtgdIZ4Y8++giDwcDHH3+Mr68vUNom5M477+Ttt99m5MiRfP/992RmZlY4tqqqzJ49G29vb0wmE7///nvNf2AbOL/kr7RfaNXk5u7H1bVDueMXezs9f/58vLy8GDRoUPWDvEppNA54eFxfb5LRvLz9WCw5AMTFTQdK9w/Hx3+O0diLTp320qLFHHQ6L5o0+aDcy4r/UhQtQUFjycxcT0FBaYXrrKy/sFjy8PEpbe/g5tYRjcZJklFAVa1kZKzD3b23zAJR2ic5IOBhUlJ+oLg4noSEr9i9uxUJCTPx9R2Cr++9ZGdvxWKp2qqWy5GXV7pS6FqfqbYVb+/badlyEdnZWzlw4AbS038mMPCxstZXAQFjMBq7c+rUk+ze3ZrY2I9wdAwtK8Qnqk+SUSFEvTJ48GAiIyOJiqr6DFptWrduHc899xx33XUXx48fZ+3atYSGhnLdddfRocO/iZNOpyMyMrJcj8vOnTuTlpZ2QeIKMHPmTIYMGcLatWsZMWIELVq0IDExsdz4mzdv5sSJE7z33nt4enqyevXqctfURQZDaxTFscpFjEpKMiguPoubW/lktDKZmZmsWLGCESNG4OjoeLmhXpU8PftSWHiiwkqRdU1W1gagtMdqZuZ68vOPkJ7+K0VFZwgJmYCiaAgMHEPPnnEEBIy85PMCAsagKDpiYt4kOvo1Tp16Cq3WrazgiEbjgJtbF6moS+nssMmUhK/vUHuHUmeEhDyNqlrYu7czJ08+hptbN7p2PUnLlgsIDHwYVTWRnb2lxsbPzd2HougwGCJqbIxrjb//cFq1+oH8/IOAQnDw42XnNBod7dtvoWXLxWg0zuTnR+LrO1RezlwBSUaFEPXKnXfeCVBWdbYuOXnyJMOGDaNNmzYsXLgQjUbD7bffzuHDhytsz6IoSoX/gDk5OZU7FhwczHfffUdycjJ//vknubm5PP744+X2WH711Ve4u7szYsQIBgwYwC+//ILFcvHWAzt27GDkyJFkZWVV7wPbUHWLGOXlHQCocGa0MkuWLKG4uFiW6FagdN8oZGXV/aq6WVkbcHFpRVjYa2g0TsTFfUp8/Gc4OASXzWZWh6NjAD4+d5GSspizZ9/B0TGEli2/Q6P594WFu3sv8vL21egMV32QmroMRXHE23ugvUOpM5ydG+Prey9mcw7Nms2kXbvfcXYu3a/u7n4diuJARsYfNTZ+Xt4+XFxal83cCdvw8xtK27a/0bLlwnJL0jUaHf7+99Gp0146ddpDo0Zv2ynKq4Mko0KIeqVRo0a0a9euzi3VVVWVJ598Eq1Wy+rVq3F1vXBpoK3emmq1Wm666SamTJnCqlWrWLp0adm5tLQ0li1bxsiRI3FxceGOO+4gPT39ou1wTp06xYABA/j222958cUXbRLj5XJz60xu7t4qNZP/d2la1ZPR+fPnExERYffqtXWRwRCBXu9X51u8WK0lZGVtwcPjRhwcfPD3f4CkpAVkZv5BcPD4are2Oa9p089o3XoZvXql0KHDpnJ9XY3GXqiqmdzc8sVo8vIOk5z8PbGxn3D27DtXbcKqqlZSU5fj5XUbOp2bvcOpU8LD59OjRzzBweNRlH+/Wmu1Lri79yYzs2aSUVVVyc3dV60VIqLqPD1vwt9/RKXnFUXBza0TWq2hFqO6+kgyKoSodwYPHszWrVtJSUmxdyhl1q5dyx9//MEbb7xBgwYNany8Z555hi5duvDkk0+SmppKQUEB06dPx2QyMXbsWAD69euHXq+vdKluamoqt99+OxqNhvvuu4/Zs2fz99/2W4ro5tYJiyWnSkWM8vIO4OAQjIODb5Weffr0aXbu3MnIkSNlOVUFFEWDu/t1dX4pam7ubqzWfDw9bwQgOPhpVNWEojgSGPjoZT/X0TEAX98hlfZnPN8m6P///mRn72DPnnYcOzaCqKhniY5+hZiYNy47jrosJ2cHJlM8fn732DuUOkerdUKv96jwnKdnX/LzD9VINWaTKZGSkhTZLyrqNUlGhRD1zuDBg7Farfz888/2DgWAkpISnnvuOZo3b8748eMvfYMN6HQ65s2bR3Z2NhERERiNRqZNm8ZNN91ERETp3iGj0cgNN9xQYTJaWFjI4MGDiY+PZ/Xq1Xz11Vc0aNCAsWPHUlxcXCuf4f87XwDi/L5Rq7W40lYvubn7qzUbsHjxYhRFYfjw4Vce6FXK3b3XP5U5E+wdSqXO7xf18LgBAFfXCAICHiY09Pkqv5i4HHq9F0ZjdxIT52G1msuOx8V9jE5npHPnQ/TqlUFg4KPExn5Cbu6BGovFXkqX6DrIEt1q8vS8BaBGCoSdbynj5ibJqKi/JBkVQtQ77dq1o1GjRixcuNDeoQDw5ZdfcuLECT7++GP0+stbJng5IiIi+Oyzz+jQoQMvvvgiq1evLpd43nHHHZw4cYITJ06UHbNarYwaNYpt27bx7bff0qNHD1xdXZk1axbHjh3jgw8+qLXP8F8uLq1QFEeio19mx45GbN7szLZtfhw+fBexsZ+ULX+0WAopKDhe5SW6qqqyaNEirr/+ekJDQ2vyI9RrdaWFyfmlh5mZf5GevpacnJ1l5zIz/8JgaHfBDGZ4+FwaN55a43E1aPASRUVnSElZDEBhYTSpqT8RFDQOV9c26PWeNG78Hnq9NydPPoaqXnyvdn1SukR3GV5e/dDp3O0dTr3i5tYBnc6rRvaN5uXtAxQMhnY2f7YQtUWSUSFEvaMoCk8//TSbN2+267LSkpIS/vrrL95880369u3LgAEDaj2GcePGsW7dOqZOncqgQYMwGC7cu3K+hclzzz1Xtqz5xRdf5Mcff+Sjjz5i6NB/q2L279+fYcOGMXXqVI4fP157H+IfGo2egICH0GrdMRq7Exb2Gl5eA8jLO0RU1LNERT0HQH5+JGDB1bV9lZ67b98+Tp48yf33319zwV8FXF3bo9G42H2pblraT+zd24mDB28mMnIA+/Z1JypqEhZLATk528qW6NY2b+9BGAztOHt26j+tZD5DUTQEBz9Zdo1e70XTpp+Qm7uL+PhZdomzJuTm7qa4OFaq6F4GRdHi6XkzmZnrK13pcblyc/fh7Nz8ou2LhKjrJBkVQtRLjz76KL6+vkybNq3Wx87NzWX06NH4+vpy8803Yzab+eSTT+rkXsSwsDA++ugj/vjjD1q2bMnYsWP58MMPGT9+PM8++2y566dPn46Liwtjx47Far10ISFba9HiS7p0OUCrVt/TqNFbtGw5n+7dowgKGk9CwtcUFJyqdvGiRYsWodfrGTJkSE2GXu9pNHqMxm52nxlNS1uJTudNu3Yb6NhxB0FBTxAb+xH79vXAai3Cw8M+yaiiKDRs+DqFhadISPiKxMQ5+PkNL1dp08/vPjw9byUq6nn27+/DyZNPkJ6+zi4x20JRURxRUZNRFD3e3ndc+gZRjqfnLZhM8RQU2PYlX17eflmiK+o9SUaFEPWSi4sLzz77LOvWrWPPnqr1prSV5557jgULFnDXXXexYsUK4uPjy/Zp1kXPPfccBw4cIDw8nK+//pqBAwfy6aefVpg8BwQE8NFHH7FlyxbmzJljh2grVtrGw5Ho6NfIzd2PTueBk1PDS95nsVj44Ycf6N+/P15eXjUfaD1X2sLkAGZznl3GV1UL6em/4u19O56eN2A0dqN5889p1mwm+flHAA3u7tfbJTYAH5/BGAwRnDr1FBZLHiEhz5S7RlEUwsO/ITBwDKpqITn5OyIj+1NUFGuHiC+fqqokJn7D7t0R5ObuoXnz2ZUW6REXd37faEaG7V5KmExpFBefk+JFot6TZFQIUW+NHz8eDw+PWp0dXbt2LV9//TWTJk3im2++YfDgweXauNRFLVu2ZMuWLfzxxx8sXboUnU5X6bUPP/wwN9xwA5MnTyYxMbEWo6yco2MAoaHPkpq6hPT0Vbi6tq/STPSGDRtITEyUJbpVVLpv1EJu7s5LXlsTcnJ2YTan4+XV/4LjwcHjad/+L8LDv7FrQqQoGsLCXgUseHjcUOmslKNjEM2bz6Rjx7/p3Hk/oJKcvKhWY71SSUnfcOLEw7i6tqNLl0MEBo62d0j1lrNzQ9zcOpOY+JXNluqeXyEiM6OivpNkVAhRbxmNRp5++mlWrlxJZGRkjY+XkZHBI488QkREBFOmTKnx8WxNo9HQt29fnJ2dL3qdoih89dVXFBUVMX78eJvvc7pcoaHPo9N5YzIlVWmJblFRER988AFubm4MHCgVQKvCaOwOKHbbN5qe/gugwcurX7lzHh7XExAwsvaD+n98fYcSHPw0jRtXrdCXs3Nj3N17k5y8sM78LFVFRsY6HB0b0L79Bpydm9g7nHovOHgCBQXHq91zNCbmbfbt61Xuz05p8SKqvHdeiLpKklEhRL02YcIE3N3due2229iwYUONjvXEE0+QmprKwoULcXR0rNGx7K1Zs2a8/fbbrFy5kpkzZ9o7HAB0OnfCwl4GLr1fNCsri9tuu40//viDd99995IJuCil07ljMLS1277RjIy1uLv3RK+vu0uqFUVLs2bTMRq7VPkef/+RFBQcIzd3bw1GZls5OTsxGnugKPJV0Rb8/O5Fr/cnLu7TKt+jqhYSEr4gJ2dbuZ/J3Nz9ODk1rNM/K0JUhfwNI4So17y8vNi4cSOurq7cfPPNvPrqq5jN5kvfWE3bt2/nhx9+4LXXXqNDh6r3t6zPnnvuOQYOHMizzz7Lrl277B0OAMHBT9Ks2Rf4+lZejCg+Pp7rrruObdu2sWjRIp544olajLD+c3fvRU7O9gv6adaG4uIE8vL24+VV+1Wpa5qv7z0oiiPJyd/aO5QqKS5OpLj4HEZjN3uHctXQaBwJChpHRsZaCgpOVeme7Oy/MZmSAEhKml923Go1kZ29GVfXTjURqhC1SpJRIUS91759e/bu3cvo0aOZNm0a48aNs/lyuHfeeQdvb2+ee+45mz63LtNoNCxYsIDg4GDuueceoqOj2bx5MzNnzmTnTvvsKdRoHAgOfhyt1qXSax555BFiYmL49ddfGTFiRC1Gd3Vwd++NxZL3Twud2pOevhYAb++rLxnV6z3w8bmDlJTFWK0l9g7nks73dpVk1LaCgsahKHri42dgtRZz9uw77NzZjIKCExVen5KyBI3GGV/fe0lNXYLFkg+U7uc1mRIJCnq0NsMXokZIMiqEuCq4uroyd+5cXn31VebOncv06dNt9uxDhw6xZs0ann766XJ9PK92Xl5e/PjjjyQlJdG4cWP69OnDk08+Sc+ePXnttdcoKalbX6w3btzIunXrePPNN7n55pvtHU695O7eCzi/f7P2ZGT8gqNjKAZD3a1MfSX8/R+kpCStXEVVq9XMyZPjiYv7zE6RlZeTswNF0Ve5fZKoGkfHAPz8hpGU9A27d7clOvoVCgtPk5KypNy1VquZ1NRleHsPJDj4CSyWPFJTf8JqNXH27Du4uXXD0/NWO3wKIWxLklEhxFXlrbfeYsiQITz//POsXbvWJs987733cHV15cknn7z0xVehzp07s2LFCqZNm8Yvv/xCVFQUo0aNYurUqVx33XWcPXvW3iECpa0oXnzxRUJCQhg/fry9w6m3nJwa4OnZj5iY10lKWmDTZ6uqysGDt3LkyHAKC6PLjpeUpJOZuR5v7wF1sl+vLXh53YZe70NCwmxU9d8evmfOTCIhYRanTz/N2bPv2DHCf+Xm7sTVtR1arey1trWQkIlYLHmoqoU2bX7FaOxetirgv7KzN1FSkoqf3zDc3a/DyakxSUnfkJS0gOLiczRs+MZV+7Miri2V1/YXQoh66PzS0jNnzjB8+HB++ukn+vbte9nPi4qKYsmSJTz33HN4enraMNL6pX///vTv/2+7jXnz5nHbbbcxduxYbrrpJv7++28CAwPtGCGsWrWKnTt3MmfOHClYdIUiIn7i8OHBHD8+GqvVZLPlgAUFx8qqiaalrSAoaBzFxXGkp/+Mqpbg6zvMJuPURRqNnuDgJ4mJeZPDhwcTHr6Q1NQfiYubTnDwU5SUZBAd/QqgISzsRbvFqaoWcnJ2SyuXGuLm1okuXY7g5NQYrdaJ3NzdxMS8gcmUioODb9l1KSlL0Gpd8fLqj6IoBAQ8REzM6xQUHMPNrQteXrfZ8VMIYTsyMyqEuOoYDAZWr15NcHAwt9xyCxMmTKCgoOCynvXBBx+g1+t55pnyze2vdffeey+//fYbycnJ9OvXj8zMTLvFYjabefnll2nRogWjRo2yWxxXC63WhYiI1Xh53c7Jk2NJSfnRJs/NzPwLgPbtt+Dndx/x8Z+Rnf03wcFP0rnzATw9b7DJOHVVWNjrNG36GRkZv7JnT3tOnRqPp2c/mjT5Hy1bLsDPbwTR0S/ZtSdpfv4RrNZ83Nxkv2hNMRhaodU6AeDt3R9Qycj4rey81VpCaupyvL3vKJudLm1rpGAyJcmsqLiqSDIqhLgqhYSEsG/fPiZOnMiMGTNo2rQp4eHhBAYGEhAQQN++fXn++edZv359pc84evQo8+bN4+GHH7b7rF9d1a1bN1asWMHx48cZNGjQZSf9V2r27NkcO3aMadOmodPJoh9b0GqdiIj4CTe3rpw6NR6TKfWKn5mV9SdOTg3x8OhNy5bz6dkzhR494mna9H+4urazQdR1m6IohIQ8Rfv2m1DVEpydm9G69RI0Gh2KoiU8fAEGQwTx8fZrp/Rv8aLudovhWuLq2gG93p+MjH+X6mZm/onZnIGf378rBZycwvD2HoDR2BMvr/4VPUqIekmxVwPmzp07q3v27LHL2EKIa8uGDRv47LPPcHBwwN3dHYvFwqFDh4iMjKS4uJh58+YxevSFS9JUVaVPnz4cOXKE48eP4+vrW8nTBcCyZcu45557mDJlCq+99lqtjn3w4EG6detGnz59WLduncwY2Fh+/hH27OmAj8/dtG79w2U/R1UtbN3qg4/PEMLD59gwwvrJYikEKLcv89y59zlz5kW6dYvC2blxrcd1/PgY0tJW0atXqvws1ZJjxx4iPX01vXqVvvDZt68HRUVn6d79bNkMKvBPJWYrGs3V3edaXF0URdmrqmrnys5f8vWxoijzgIFAiqqq5UrcKaV/U30K9AcKgIdUVd13+SELIYRt3Xjjjdx4443ljhcVFXHnnXcyZswYnJycuO+++8rOzZ8/ny1btjBnzhxJRKtg6NCh9OvXjy+//JIXX3wRvV5fK+Pm5ORwzz334O3tzbfffitfnmuAwdCasLDXiYl5jbS0+/DxufOynpObux+zOQtPz5tsHGH9VFlxID+/+zhz5kVSUr4nLOyVWo6qdGbUaOwmP0u1yNu7P8nJC8jJ2Ulu7h5yc3fTsuXiCxJRKN13LMTVpirLdOcDF9slfTvQ7J//jQVmXXlYQghR85ycnFixYgXXXXcdDz74ILNmzSI5OZm0tDQmTZpE7969y82Yiso99dRTJCQksGLFihofS1VVcnNzeeyxx4iKiuL777/Hz8+vxse9VjVo8AIGQztOnnyckpKsy3pGVlbpflEPD0lGL8bJqQHu7teRnLzI5v2SL8VszqGg4Kj0F61lnp63AFoSEr7kzJmX8fK6DT+/4fYOS4hacclkVFXVzUDGRS65E1ioltoBeCiKIpurhBD1gouLC2vWrKFbt26MHz+egIAAmjdvTnZ2NrNmzUKjka31VXXbbbfRuHFjZsyYUWNjbNu2jUaNGqHX6zEajfzwww9MnTqV66+/vsbGFKUzMi1azMZkSiQ1tXxPxKrIzPwTF5fWODoG2Di6q4+f3wgKCo6Rn3+oVsct3S+qyn7RWqbXe+Lu3pPk5G8BlWbNZsnMtLhm2OJbVjAQ+59fx/1zTAgh6gU3Nzc2bdrEjh07+OCDD+jduzf/+9//iIgotzNBXIRWq+WJJ57g77//5sCBAzZ//q5du7jtttvQarVMnjyZDz74gB9//JEXXnjB5mOJ8tzcuuLk1Ji0tNXVvtdqNZGdvUWW6FaRr+9QFEVHcvJiAMzmXFJSfsRqLbbZGCUlmeVmXpOTv0WrdcNo7GmzcUTVnC9K1KjRVJydG9o3GCFqkS1KDlb06qbCdSWKooyldCkvDRo0sMHQQghhGzqdjm7dutGtWzcmTZpk73DqrdGjR/Paa6/x+eefM2eO7YrU7Nu3j379+uHr68vGjRsJCQmx2bNF1SiKgo/PncTHf4HZnIdO51rle3NydmC1FuLpeXMNRnj1cHDwwdOzHykpizEYWnPmzIuYTIl4efUnIuKnKy5gU1gYxa5drWnS5H1CQp4GwGRKIyVlKYGBY6r1/62wjaCgcej1XgQEPGzvUISoVbaYGY0DQv/z6xAgoaILVVX9SlXVzqqqdpaCIEIIcfXx9PTkgQceYNGiRaSnp9vkmWfOnOHWW2/FaDTy119/SSJqR97ed6CqxWRm/lGt+zIz/wQ0uLv3qZnArkL+/vdTXBzH8eOjcHQMJSzsNTIy1nL48JArniGNjf0EVS0mJuYtSkpK+wMnJX2DqhYTFPS4LcIX1aTXexAUNBaNRlpTiWuLLZLR1cBIpVR3IFtV1UQbPFcIIUQ9NGHCBIqKipg588p7Jebn5zN48GCsVivr168nLCzMBhGKy+Xu3gudzpO0tFXVui8z80/c3Dqh13vUTGBXIR+fO/H3f5AWLb6hY8ftNGo0hebNvyQj4xeOHLkHVbVc1nNLStJJSpqHu3tvzOYszp17H1W1kpDwJe7u1+HqKtsThBC155LJqKIo3wPbgRaKosQpijJGUZRxiqKM++eStcAZ4DTwNTC+xqIVQghR57Vu3ZpBgwbx6aefkpeXd9nPUVWVMWPGcOTIEb7//nuaNWtmwyjF5dBo9Hh59Sc9fU2Vk6GSkkxycnbg6XlrDUd3ddFqXWjZciGBgQ+hKKVf14KCHqNJk49JT/+ZjIx1l/XchIQvsVoLadZsFv7+DxAf/ymJifMoKjpDUJB8hRNC1K6qVNO9T1XVQFVV9aqqhqiqOldV1S9VVf3yn/OqqqpPqKraRFXVNqqq7qn5sIUQQtRlL7/8MhkZGXz11VeX/YyPP/6YJUuW8M4779CvXz8bRieuhI/PHZjN6WRnbwcgN3cv0dFvYjIlV3h9RsZvgAVv7wG1GOXVKzj4SfR6XxIT51X7Xqu1mPj4z/H07IerawQNG05BVa2cPDkOvd4PX9+7ayBiIYSonPQsEEIIYXPdu3fnxhtv5KOPPqK4uPr721JSUnj55Ze5++67mTx5cg1EKC6Xl1c/FEVPevpqUlNXsH//dZw9+xY7dzbl7NlpWCwFF1yfkfELer0PRmNXO0V8ddFoHPD3H0l6+mpMppRq3ZucvBiTKYnQ0OcAcHZuSHDwE4CFwMBH0GgcaiBiIYSonCSjQgghasQrr7xCYmIiCxYsqPa933zzDSUlJUydOlX67dUxOp07Hh43kJAwmyNHhmAwtKV9+y14evYlOvpV9u3rjtVqBkBVLaSn/4qX120oitbOkV89AgMfRlXNJCd/V+V7VNVKbOzHGAxt8fTsW3Y8LOw1goLGl1XVFUKI2iTJqBBCiBpx00030bVrV95//31KSkqqfJ/VauWrr76iT58+tGzZsgYjFJfLx+cuLJYcfH2H0L79Bjw8ehMRsYLw8IXk50eSkvIDADk5uzCb08t6KArbMBhaYTR2JzFxbrleoZVJT/+FgoIjhIY+f8ELHr3ek+bNZ+Lg4FdT4QohRKUkGRVCCFEjFEXh9ddf58yZM0ybNq3K961fv54zZ87w2GOP1WB04koEBj5Ku3Z/0qrVErRa57Lj/v73YzC04dy5d1BVK+npvwAavLxkz6+tBQQ8TEHBUXJzd13yWlVVOXfuXRwdw/DzG14L0QkhRNVIMiqEEKLGDBgwgJEjR/L222+zbdu2Kt0ze/ZsfHx8uPtuKaZSV2k0Ojw9byqr8nqeomho0OBlCgqOkZa2goyMX3B374le72WnSK9efn7D0GhcSEyce8lrs7M3k5OznQYNJqHR6GshOiGEqBpJRoUQQtSoGTNmEBYWxv33309OTs5Fr01ISGDVqlWMHj0aR0fHWopQ2JKf3z04OzfjzJkXycs7gJeXVNGtCTqdEV/fe0hKWkh09GuUlGQAYDKlkpS0gPT/a+++w6Mo1zaA35NOEhIgQOi99xKaFUUFEXtDsYtdUbAgtg8VewGP6LH3clBRAUUBcVMgpJFGeiGkkpDe2+483x9vCIQkJCGbTbt/15ULMjM7885Ottzzttw/a5vwJie/Blvb/hgw4K72LDIRUT027V0AIiLq2lxcXPD999/j3HPPxU033YSlS5fC3t4eU6dOxbx58+ps+8UXX8BkMuHee+9tp9JSa2maNYYNewaxsXcCAKd0aUOjRr0GXS9DcvIGpKW9ByenKSgq8gegAwD69LkMAweuRH7+Lowc+VqdJtVERB2B1tyO7+bm4eEhQUGckpSIqLt44403sG7dutraGk3T8N577+GRRx4BAPz999+44YYbsGDBAuzatas9i0qtpOvV8PcfC0DH/PnJHBG5jZWURCA5eQPKyxPg5rYUffteiYICbyQlPQddL4O1tQsWLEiBjY1rexeViLoZTdMOiohHo+sZRomIyFJKSkpQXl6O0tJSrF69Gr///jvWrl2LIUOG4NFHH8W0adOwY8cODBkypL2LSq1UUhIOXa+Ei8uc9i5Kt1VefgRJSc+gV6+FGDSIrQ2IyPIYRomIqEMymUx4+OGH8dFHHwEArrjiCnz//fdwdnZu55IRERGROTQVRtlnlIiI2oW1tTU+/PBDTJw4EUVFRVi3bh2sra3bu1hERERkIQyjRETUbjRNw6pVq9q7GERERNQOOLULERERERERWRzDKBEREREREVkcwygRERERERFZHMMoERERERERWRzDKBEREREREVkcwygRERERERFZHMMoERERERERWRzDKBEREREREVkcwygRERERERFZHMMoERERERERWRzDKBEREREREVkcwygRERERERFZHMMoERERERERWRzDKBEREREREVkcwygRERERERFZHMMoERERERERWRzDKBEREREREVkcwygRERERERFZHMMoERERERERWRzDKBEREREREVkcwygRERERERFZHMMoERERERERWRzDKBEREREREVkcwygRERERERFZHMMoERERERERWRzDKBEREREREVkcwygRERERERFZHMMoERERERERWRzDKBEREREREVkcwygRERERERFZHMMoERERERERWRzDKBEREREREVkcwygRERERERFZHMMoERERERERWRzDKBEREREREVkcwygRERERERFZHMMoERERERERWRzDKBEREREREVkcwygRERERERFZHMMoERERERERWVyzwqimaUs0TYvVNC1B07SnG1jfW9O03zRNC9c0LUDTtCnmLyoRERERERF1FU2GUU3TrAF8AOBSAJMA3KRp2qRTNnsGQKiITANwG4D3zF1QIiIiIiIi6jqaUzM6F0CCiBwWkSoA/wNw5SnbTAKwFwBEJAbACE3T3M1aUiIiIiIiIuoymhNGBwNIPen3tJplJwsDcA0AaJo2F8BwAENO3ZGmafdqmhakaVpQdnb2mZWYiIiIiIiIOr3mhFGtgWVyyu+vA+itaVoogEcAhAAw1nuQyCci4iEiHv369WtpWYmIiIiIiKiLsGnGNmkAhp70+xAAGSdvICJFAO4EAE3TNABJNT9ERERERERE9TSnZjQQwFhN00ZqmmYHYDmA7SdvoGlar5p1ALASgHdNQCUiIiIiIiKqp8maURExapr2MIBdAKwBfCEikZqm3V+z/iMAEwF8o2maCUAUgLvbsMxERERERETUyTWnmS5EZCeAnacs++ik/x8AMNa8RSMiIiIiIqKuqjnNdImIiIiIiIjMimGUiIiIiIiILI5hlIiIiIiIiCyOYZSIiIiIiIgsjmGUiIiIiIiILI5hlIiIiIiIiCyOYZSIiIiIiIgsjmGUiIiIiIiILI5hlIiIiIiIiCyOYZSIiIiIiIgsjmGUiIiIiIiILI5hlIiIiIiIiCyOYZSIiIiIiIgsjmGUiIiIiIiILI5hlIiIiIiIiCyOYZSIiIiIiIgsjmGUiIiIiIiILI5hlIiIiIiIiCyOYZSIiIiIiIgsjmGUiIiIiIiILI5hlIiIiIiIiCyOYZSIiIiIiIgsjmGUiIiIiIiILI5hlIiIiIiIiCyOYZSIiIiIiIgsjmGUiIiIiIiILI5hlIiIiIiIiCyOYZSIiIiIiIgsjmGUiIiIiIiILI5hlIiIiIiIiCyOYZSIiIiIiIgsjmGUiIiIiIiILI5hlIiIiIiIiCyOYZSIiIiIiIgsjmGUiIiIiIiILI5hlIiIiIiIiCyOYZSIiIiIiIgsjmGUiIiIiIiILI5hlIiIiIiIiCyOYZSIiIiIiIgsjmGUiIiIiIiILI5hlIiIiIiIiCyOYZSIiIiIiIgsjmGUiIiIiIiILI5hlIiIiIiIiCyOYZSIiIiIiIgsjmGUiIiIiIiILI5hlIiIiIiIiCyOYZSIiIiIiIgsjmGUiIiIiIiILI5hlIiIiIiIiCyuWWFU07QlmqbFapqWoGna0w2sd9U0bYemaWGapkVqmnan+YtKREREREREXUWTYVTTNGsAHwC4FMAkADdpmjbplM0eAhAlItMBLATwjqZpdmYuKxEREREREXURzakZnQsgQUQOi0gVgP8BuPKUbQRAT03TNADOAPIAGM1aUiIiIiIiIuoymhNGBwNIPen3tJplJ9sMYCKADACHADwqIvqpO9I07V5N04I0TQvKzs4+wyITERERERFRZ9ecMKo1sExO+X0xgFAAgwDMALBZ0zSXeg8S+UREPETEo1+/fi0sKhEREREREXUVzQmjaQCGnvT7EKga0JPdCeBXURIAJAGYYJ4iEhERERERUVfTnDAaCGCspmkjawYlWg5g+ynbpABYBACaprkDGA/gsDkLSkRERERERF2HTVMbiIhR07SHAewCYA3gCxGJ1DTt/pr1HwF4GcBXmqYdgmrWu1ZEctqw3ERERERERNSJNRlGAUBEdgLYecqyj076fwaAS8xbNCIiIiIiIuqqmtNMl4iIiIiIiMisGEaJiIiIiIjI4hhGiYiIiIiIyOIYRomIiIiIiMjiGEaJiIiIiIjI4hhGiYiIiIiIyOIYRomIiIiIiMjiGEaJiIiIiIjI4hhGiYiIiIiIyOIYRomIiIiIiMjiGEaJiIiIiIjI4hhGiYiIiIiIyOIYRomIiIiIiMjiGEaJiIiIiIjI4hhGiYiIiIiIyOIYRomIiIiIiMjiGEaJiIiIiIjI4hhGiYiIiIiIyOIYRomIiIiIiMjiGEaJiIiIiIjI4hhGiYiIiIiIyOIYRomIiIiIiMjiGEaJiIiIiIjI4hhGiYiIiIiIyOIYRomIiIiIiMjiGEaJiIiIiIjI4hhGiYiIiIiIyOIYRomIiIiIiMjiGEaJiIiIiIjI4hhGiYiIiIiIyOIYRomIiIiIiMjiGEaJiIiIiIjI4hhGiYiIiIiIyOIYRomIiIiIiMjiGEaJiIiIiIjI4hhGiYiIiIiIyOIYRomIiIiIiMjiGEaJiIiIiIjI4hhGiYiIiIiIyOIYRomIiIiIiMjiGEaJiIiIiIjI4hhGiYiIiIiIyOIYRomIiIiIiMjiGEaJiIiIiIjI4hhGiYiIiIiIyOIYRomIiIiIiMjiGEaJiIiIiIjI4hhGiYiIiIiIyOIYRomIiIiIiMjiGEaJiIiIiIjI4hhGiYiIiIiIyOKaFUY1TVuiaVqspmkJmqY93cD6JzVNC635idA0zaRpWh/zF5eIiIiIiIi6gibDqKZp1gA+AHApgEkAbtI0bdLJ24jIWyIyQ0RmAFgHwEtE8tqgvERERERERNQFNKdmdC6ABBE5LCJVAP4H4MrTbH8TgB/NUTgiIiIiIiLqmpoTRgcDSD3p97SaZfVomuYIYAmArY2sv1fTtCBN04Kys7NbWlYiIiIiIiLqIpoTRrUGlkkj214OYH9jTXRF5BMR8RARj379+jW3jERERERERNTFNCeMpgEYetLvQwBkNLLtcrCJLhERERERETWhOWE0EMBYTdNGappmBxU4t5+6kaZprgDOB7DNvEUkIiIiIiKirsamqQ1ExKhp2sMAdgGwBvCFiERqmnZ/zfqPaja9GsBuESlts9ISERERERFRl6CJNNb9s215eHhIUFBQuxybiIiIiIiI2pamaQdFxKOx9c1ppktERERERERkVgyjREREREREZHEMo0RERERERGRxDKNERERERERkcQyjREREREREZHEMo0RERERERGRxDKNERERERERkcQyjREREREREZHEMo0RERERERGRxDKNERERERERkcQyjREREREREZHEMo0RERERERGRxDKNERERERERkcQyjREREREREZHEMo0RERNS9HTsG+Pi0dym6p+RkYOtWwGisu1zXgT17AJH2KRcRWQTDKBER0ZkIDAR2727vUlBLHDsGXH01kJZWd/mECcB55wEVFe1Tru7Mywu47jpg4kTgu++Axx8HvvkG+Pln4JJLVCA9VXQ08MADgMlk+fISkVkxjBIREbXUX38B554LXHYZEBra3qWh5nJxAQ4cAJ544sSyffuA/Hz1//Ly9ilXd3brrcCWLYCTk/r/u+8Chw4BV10FDBoEvPFG3e3ffx+YOVOF1bg4IDKyXYpNRObBMEpERNQSO3aoL8oTJwJDh/LLcGeg6yrgODgA99+vwo+Pj2oC+uyzwIABQGkp0Lt3e5e0+/jxR9U8V9OAG24AgoOB334DfvkFeOstwN4eWL0a+PdfIChIPea994BVq4CLLgIiIoBdu4ApU4DU1PY9FyI6Y5q0U1t8Dw8PCTr+5kJERNQZGI3A1KmAs7NqouvkBNjZtXepqCmvvw4895wKNePGAePHA/36AZs2Aeefr2rbVq4EMjKAUaPau7RdW2Ym8PffwEMPAXPnqrCpaQ1vW1SkbvgsXgzcfDNwzTXqRtDPPwPW1kBCAjB2LPD226p5LxF1OJqmHRQRj8bWs2aUiIiouWxsVAjds0fVoh0Poj/9BAQEtG/ZqGF79qjaz+uvB6ZPBxwdVc1bSAgQGwts2wbccw+wYgWwZEl7l7brCg4GZs8GBg4E7rxT1UZ//33jQRRQzaofeEA91t1d9ff97jsVRAFgzBhg1ixV001EnRLDKBERUXPs2QNUVqqaml69TiwvKwPWrAGefrrdikaNiItTTUAnTwY+/fRE8LnxRhWIRo8GrrhCNQn18ADi44G8vPYtc1fl7g707Am8+qoKl/Hxqk9oU557DoiJARYsUM16HR3rrl++XA0mdvhw25SbiNoUwygREVFTQkJUrdkrr9Rf5+gI3HYb4O0NFBRYvGjUiOJiFTRtbIDt21XT6uM0DfjiC+DCC08smztX/csuROYVFKRGvR08GPD0BNatUwMQWTXzK6izs7qGjbnhBvXvzz+3uqhEZHkMo0RERKej66qpYN++akCVhixbpr5wc6qX9lNcrPohLlumRsh1dgZuuUXVpo0Y0fTjPWq6NAUGtmkxuxU/P+Css1Sf3bYyfLjqd/roo213DCJqM6e51URERNTNVVSoL7n+/qqvWmOjrc6bB7i5AX/8caKmhiwnPl4NbBMbC0ybpppTa5pq4tlcrq5qvlH2/TWP0lLVYmDgQHWToC1dcIH698Yb1bX38ACeeab5ta9E1G4YRomozWR+nQlbd1u4LXFr76IQnZl77wW+/VbNS3nzzY1vZ20NXHopkJRkubKRsmePGpzo+OBSJze9bal33gH69DFf2bqzp59WNwn+/bduH+u2ZGcHHDyoBqVavBiYM8cyxyWiM8YwSkRtJvnVZDhPc2YYpc6nuhqwtVU1azfcoJp+NuWzz9RAOGRZERHApEnADz80rznu6SxdapYidXt79wKbN6tWBcdrLS3h22+B7Gw1WNKuXQyjRJ0A2y80ojy/HDG/x5h1n8YKo1n3R9TROYx0QHlSeXsXg6j5ysqAu+9WfQ1F1JyUzQmiAINoe1m9GvD1bX0QBYCqKmDHDhVwmyM7u/XH7IocHNSAX6+9Zvlj9+unpnv5+2/LH5uIWoxhtBGGFwz46bqfkLI/pd463aRj3+v78J8x/8HWm7cicU9io/spOFIAAAj5IgSbRmxCRWFFWxWZqMPpMbIHKpL4N9+WEh5PQJBHEI79fAyiS3sXp3PLzVUjqn75pZq/UM7g+dywAVi40OxFowYcPaoGJzqT69QYEeDaa1UN2+mUlQHPP6+m+fH1Vcs++AD46is14FV3cOSIer24u6smsatXq+dOBDj7bOCvv4AePdqnbM89Bzz+ePscuxsrP1KOlLdSIOZ8TVKXx2a6jbhww4VI+CsBW5dvxX0h98Gxr5rXqjClEL/d+huSvZMx9KyhOLznMNzGu2H0xaNRmFqIDyd/CIdeDnB0c4RDbwek+KTg+l+ux4CZA1CaVYqgj4Jwztpz2vnsOgbRBdAA7XQTXlOn5jDSAcY8I4yFRti48u3mjIg0Oin80S+PIu3dNNi42SDqhig4TnbEqNdGoe/lfS1cyC7iqafUADg7d6panTPh4AB4eQGpqSqoUNt5+WU1d2hCghpR1Rzs7YEZM9QosI0pKFAhLD5e1aCPHKlep7/8oqYu8fUFPvqo6w+ec+SI+lmyBDh0CDAY1HOXk6NqJ5upLK4MJSEl6H9jf/OV7aqrzLcvarbExxOR82sO3C5zg9Mkp/YuDnUSXfyd8sw5uDrg+p+uR+mxUvx4+Y+oKFC1O2HfhuFo8FFc+dWVuHPfnXg883Gc9cRZAAAbBxvMvGsmRl44Ei5DXGAsN2LabdMw4vwRGDhzIEZfMhp+G/3YXBeAqcqErxZ+hfdGvIeDnx6EqdrU3kWiNuAwygEA2FS3Of74A8jMrLts2zY1N9+ePfU2Lw4pRvyD8ei1qBfOyjgLE3+YCDEKIq6IQOTySFRlVwEAymLLkP5BOvJ250E3Nlxjoxt1lB/p5tfIx0fNO7lmzWmDaHVuNYqDi+stL9xfiOLQYuCyy9SCHTvaqqQEqAD66adqgClzBdHjLrlETQ3T2GBU69YBiYmqGei336rRYjVNDdTzzDOqXPfd13VrSI8cUf8uXKieo2++UfPwVlSokYhbEET1Sh2HrjiEqOVRyPgsw7zljIhQtbNkdkX+RQg+OxhFgUW1y0pjSpHzW45af6CosYcS1cMwehoDZw3E4k2LkeaXhtCvQwEA56w9Bw9EPIAZt8+ApmmwsraCnZMdAMCpnxOWbFqCq766CjftuAl3H7gbV35+JRx6qS/kZz99NkqzSmv31VGVZJbA6yUvGCuNMFYY8dejfyEnJsesx9j9xG6k+KTA3sUef9z7B2K3x5p1/9Qx9BipmmixqW4TTCY12MfUqUBa2onlrq6qKeL11wMxJ/qwV+dVI/K6SNi42WDSD5NgZWcF95vcMSd8Dka8NAI5v+YgcFIg/Mf7I2BCAOIfjkf44nD4DfVDwuoElEaX1u6rPLEcoeeFwn+kP7J+yLLkWXcs9vZq8JoXXmh0k8qMSgQvCMbBOQeR+2du7fJCv0KEXhiK+Ifi1dQg06YB//d/wOHDlih59yOiRje2s1NNZc3t/vtVrebmzfXXxcUBH38MrFqlmqaeTNNUM+3nnlODWd13n3mbEHcER44A06cDf/6pfnc6qfbrDGqCk19LRnlsOZymOCH+wXgU+BSYpZgAgPXr1c2KrnYN2lm+Zz7CLgpDkW8RYm6LgalCVSakvpEKKwcrWLtao/BAYTuXkjoThtEmeNzvgRu23oAxi8cAAKxsrNBreK8z2teIhSMweO5gHHjnQIdtT58ZmolPZn8Crxe9kOqbirLcMkT8EIGfrvsJVaVVZjlGsk8yAt4PwPzV83F/+P24dc+tmHDVBABA9G/RyI7KRn5SPg68ewA/Xv4jon6JMstxyfIcRqobMQyjpygvV6O1HmdtDbz4oho85YILgORktfx4zYOdHXD55ahOyMKRF4/Af6w/KlMrMfmXybDrb1e7Gys7K4x4fgRmB8+G82xnOAx3wJj3x2Bu/FxM3joZLgtckP5hOgInBSJsSRiSX01G0IwglEaVwnmGM2LujEHBvgKLPhUdxty56gu2U8NNyyozKhF6QSiqjlbBcaIjIm+MRHFoMSpSKhBxVQSkSlASUgLdVNNcU9eBBx+08El0Ex99pFoNvPQSMGCA+fc/ZAhw3XWqdvTUz+px41SN6MsvN/xYTVPleu01YOLEuq/zzk7XgTvuUM/J5Mmt3l1pTClSXktB/5v6Y4bPDDiMdEDkNZGoSDbT58XixermXnS0efZHyN2Zi0OXHoL9MHtM+GoCymLKkPxSMipSKpD1XRYG3jMQrme7smbUQkQEhb6dP/hr7RWKPDw8JCgoqF2O3Z4yDmbAvqc93Ma5QUTatb9k1NYopPqmYvE76u5uwt8J+Pn6n+HQ2wE3/3Ez3Ke5AwAS9yTiu8XfYerNU3H1t1fXK3NLz0NEEPFjBCZdPwnWtta1y3WjjvfHvo/ClMLagVhchrpg2cfLMPbSsa09XWoHIoJ9vfbB/VZ3jNs8rr2L0zGIAFdfrSZm//lnYO1aYMUK4KyzgAMH1Beo0lLglVfUPH0AsH8/5IILkSZXI9F4P9wu743hzw6Dy7zeLT58VXYVMj7OQMYHGajKrEKvhb0w4esJsHa2RvCCYFTnVmOW3yw4jnE084l3UMnJwKZN6maAi0uDm1QeVUG0Mq0S03dNh8NIBwTNC0JhXiFKbUsxQAZg8MODkfJqCjwOecB5irNqrjhsWNuEpe7ur7/UNC5ff912/TILC4GePevuPy+ve89B+t57wGOPqVrfu+9u1a5EF4ReEIrS8FLMjZkLO3c7lMWW4eC8g3Ce7oyZXjNbX96UFNWE+513VPN7apXSqFIEzQiC0zQnTPt7Guz62iHm7hhkfp2J3ot6o+DfAsxLnIfMbzJx5PkjODv/bNj2sm3vYndZerWOuAfikPl5JmbunwnXs1zbu0iN0jTtoIh4NLaeNaMWNmj2IBVEdcHn8z/H7id3I2FXAgqSC5ocCTM3PhffLfkOlUWVrS6HscKI3Wt2ozSrFCKCZJ9kfH/p9+gzpg9W+q2sDaIAMPri0Vj44kIc+v4QDM8bavt3igiCPwvG2/3fRsSWxofBN1WZEPJFCL4890tE/xoNTdMw9eapdYIooGqdVwasxNlPn41L3rkEqxJXYXXKagbRTkzTNDiMdGDN6HF33QX89JPqV7h7t6o5+fBD4OBBlMaUwjRjrqp1GTMGGHvS3/3ZZyN10osoc54Kj0MemLreBJdb5wH5+S0ugl0/O4x4bgTmJ8+HR6gHpu+dDodhDrDtY4upf04FAIQvCUdJRIm5zrpje+IJ1eyyoKDB1ZWZlQi7MAyVaZWY9vc0uJ7tCtsBtnjV+VVImaBPYR9sGbcFfW5UIaU4qKY/6dy5KogajcDBgxY6mS5O19XNnEsvVX0123KAIFdXtf/SUlW7+dxzqm/ozz83fx/l5ao/ZW5u09t2dDEx6ubYZZep97FWSnk9BYXehRj11ijYuavWHY7jHTFs7TAUeheiIs0MnxnDhqn5Z7//nk11W0lEEPdgHKydrTHtLxVEAWD0O6Nh198O+bvz0X9FfzgMc4DrAhWKiv3r960n8zCWGBFxZQQyP8/E8OeGw2VBwzdSOwuG0XZSUVgB1+Gu8Nvoh++XfI/3RryH111fR/DnwY0+xsbBBrlxufjzgT9b3cw3YHMAClMKMfOumdA0DRX5FZh932zc4X0Heg7qWW/78549D9NumYaAzQEozy1HeX45frnhF+y4Zweqy6rx5/1/oii94WYZe57ag+13b0dpdmmD60/m1M8Ji15ZhAVrFqD3qJbX+lDH02MUp3cBoEaa/PJLICMDuOce4Lff1KiTF12E/Ak3I3BSIELPD0XVWA81ouu119Y+tPxIOQ6Hz4fdqptVrZvRqPojrl59xsWxsrOC83RnaFYnWjU4jnHE1D+mwlRiQvCcYGR8nNFhuxSYxd69qkntM8+oL66nqMqqQtiFYahIrcC0v6ah1zm9AABWVlZ44K0H0Pur3jj6yFF8EPQB7n/lflg7W6Pk4Ckhfs0a4PzzgWPHzFPmv/5S/Ra7i6Qk1YdzwQJVU/nGGy3ehW7Ukb01G8biFg4eGB6uRkSePl21VLj11ubPOQuo63T77U1PE9MZxMQAzs5qcKZWtuhKfjUZSc8mof/y/hh418A66/perUYCz/ndTONUXHutqtHmqP2tkvVtFgq9CjHqjVGw63eia4htL1uM/3w8HEY7YPg6NZBYz7k9ASuw32gbqS6oRujCUOTtzsO4T8Zh5MsjO/2sFGym287KcsuQHZmNnJgcpOxLwbxV8zDIYxCKM4ohInAZ7ILSY6VI3J2IqSumwucVHxieN+CKz6/AzLtO34zFVG2ClY1VvT/S8vxy/Gf0fzBk3hCs+GtFi8pbmFoI16GuOBpyFF+e+yXOf+F8jL9yPH675Tdc+dWV6D+57tDspcdKsWn4Jky+YTKu/OrKTv+CoZZLeDwBGf/NwLml53bL628qNyH+oTgM/e0mODrmQEtMUNN/AMDRo6isdETQ/AhY97BGVWYV7IfZY/ru6XAY7lC7j8PPHkbK6ymYf2Q+HIbWLH/+eTVYyh9/nBjB9bj8fHWMM5zjryqrCtG3RyN/Vz4cJzkCApiKTXCa4oTRG0fDaUIXGLK/uhqYOVPNFxkVBTg4oLqgGimvp8BUZIJmoyFvdx4qUytVED2vF3bv3o2EhAQ8eEpf0I0bN2Lw4MEY+8FYSJVg1oFZJ1bGxqr+dQ8/rJoDt8aHHwIPPaRq6Rrrs9iVFBQA8+apfn9z5qgBvi69VA001Ux6lY6om6OQszUHzjOdVa2Ou13TDwTU38jo0UB2tppD9ExqBOfPB4qKgMjIxgORyQRceSVga6v6mk6Y0PLjtJX4+BOtNHJygL6tmzbqyEtHcOT/jsD9FneM/3I8rGzq14kETAyA3SA7zNg7o1XHAqBu3EVHq78dOiPVedUImBCAHmN6YOa+mXVuYB53anetwOmBsBtgh+m7pluyqF2eiCDy2kjk7sjF5N8mo++yzjGNW1PNdCEi7fIze/Zsocb9fufv8rL9y/L36r/lm4u/kZftX5aC5AIxGU3y9YVfy4YeG+RY5LEGH1uaUyq7Ht8lL9u/LH7v+dVbv/up3bJeWy+ZYZmtKmNpdmnt/3Vdb3Cbvc/tlfXaesmOzm7VsajzSn0/VQwwSMXRivYuiuVkZ4ts2SIVaRUS5BEkKbheBJB417VS4FtQu5lu1CXkghDx6uElxYeKJd8nX3x6+cj+QfulJKpERERMVSbZ575Pwi8Pr3uMigqRyZNFBg8Wyc8/sVzXRa66SmTGDJHq6jM+Bd2kS+qmVAlbEiYR10VI1G1R4tPLRzxtPSXx2UQxlhnPeN8dwqZNIoDI77+LiEhlVqUEzggUg7VB9vXbJz69fcR3qK/ke+aLiEhUVJS4urrKtGnTpKKi4b/l+NXx4uXgJaZqU90VK1eK2NmJHDly+jIVF4scPNjwus8/V+W9/HKRqqqWnGnn9fLLIjY2It7ezX5I7t+5kvNHjlQXV4uxzChhS8PEAIPE3BcjXo5ecmDUASmNL5XisGJJejlJYh+IFVOlqfEdxsWJxMef+Tkcv24+Po1v89//qm0cHER+/FEtq6xUr+W2VFQk8v33IuE17y3p6SJPPSXyxRciDz0kMm2aiK2tSHBwqw9VGl8q4ZeHiwEGib4jWnRj4+eWuC5RDNYGqcrpJn/nHUxVXpWELAoR36G+EnZZmASfFywGK4MUhxY3ex8x98WIt4u36KY2/hvuZlI2pogBBkl5N6W9i9IiAILkNJmQYbSDyjucJ7/f+bu8aPWirMd6CfxvYO26oowiebPfm/LxrI/rhcD8pHx5zeU1edHqRXl7wNvylvtbUlVW9w097Lsw2f3UbrOXuaKoQnY+slOyIrJqlyX+kyiG9QazH4s6j5w/csQAgxTsL2h6464gMlJk5EjRHRwloP8O2ef4p+h2DmIaNV78RqowF31ntCSsTZDImyLFAINkfJEhhw4dkpKSEikOL5Z97vtkn/s+yQnOkW1rtokBBsn5I6f+sQIDRaytRd5//8Sy775Tb+3LlolMmCCSkGC2U6vMrJSoW6PUF8q7os2233YRHy+yfr2Irkt5crn4jfMTrx5ekvt3br1NMzIyZPTo0dK/f3850kigzM/Pl02XbxIDDFIcdsqXttRUEXt7kTvuUL9HRKgwXHrihp6YTCIXX6yu3U03iRyrudloNIq8846IpolccolIebkKKaGh5ngWOjajUcSv/g3VxhQcKBCDZhADDOJp6ym+Q33FoBkk/eN0EREp9CsUHzcfMVipbY7/HP36aKP7NFWbWveFuqRExMVF5LbbGl6fkyPSp4/IwoXqJpapJhg/95zIqFEiq1aJHD585sc/VW6uCrxXX63+JgGRtWvVur/+UuETEHFyUn+P777buptaRl0OP3dYPO08xdvZW5LfTG7y+SwMKFTX5avGrwu1jaq8KgmcHSiedp4ScUOEBEwNEE8bT0lY27LPkaNfHVXvhYeaH2Dp9Ar9CsXTxlPCrwxvtAKoo2IY7eSyY7Ll0P8O1fvDO7z3sGQczKi3va7r8s8z/0jWoSxJMiTJy/YvyxGvJu7Gm0l+Ur68PeBteaPPG5Lmn2aRY1LHVxJVIgYYJPO71tXEdwr794u4uIjet7+E9v5YfIf6SnF4sQodpaXqjvOVIeLT30c87TzFAIPE3h8rXl5eAkCmTZsmOTk5UhJVIvv675OdjjvlY3ws2x23i7GqkZrIsLATNSgHDoj07i2yYIHIoUPqLf7TT81+mtF3RYt3T28xlnfC2lGTqU6NU+WxSvEd7ivert5SsK/+DZPPPvtMXFxcxN7eXnx9fRvdbXl5uYx3HF97c6Gexx9XtdUVFSJbtqhrc/XVKnCJiGzefKLm09ZWxM1NhRBdFxk3TuSii06E1//8R4XT2NhWPRUd1oEDImmn/wwpjSuVggMnrpex3Cj+E/zFd6iv5PyVIwlrEyTkwhDJ/LHu+05pTKnEPRwn6Z+mS0VGhQRMDRD/yf4NBiRd1yX4vGCJvDmydefz4IMqbJoaqIFdvVrdUDp0qO7yrVtFLrtMBUYHB5GXXlI3IkTUzY1t25pXc5qbK/Lttyd+HztW/Z0NHKiC7r59dctVViYSFdWqAHqy5DeSxQCDRK6IlIr05rWO0XVdfIf4SviV4U1vTGZTlV8lQR5B4mnrWefm55ncjCmNLRUDDJL+SXqLHqebdEn/JF38xvpJzs4GbsB2M5XZlXLsl2MS/1i87HPfJwdGHJCqvM7XYoBhtBswGU1SXlAu+Un5dZbrui4lx0pqf4//K1583/Gt34TMjPIS8+S9Ue/JS7YvyRfnfiHFR3lXrLszlhnFAIMkvZzU6n3pun7a5l3t6uhRkYEDRR81RoJH/S4+vX2kJLqk3mbLli2ToUOHSmRkZG3zwKqqKlm4cKEAkClTpsjRo0elJLJEvN28xQCD3IJb5JFHHjn93dCUFJEePdRPbKz6ojpggKplM7PcXbligEGyf++Eze9ff11k6VKRsjLRTbqEXRomnvaeUhhQWLtJQUGBFBUViYjIt99+K0uXLpWYmJgmd33T8pvkT+1PiXmggW3Lyk586S8vF9mwQX0Er1mjliUmiqxbp65bRIRqLnn8emdm1g0emZkqpDzwwBk9BR1aSYnIsGEiZ5/d6Ca6SRf/Cf5i0Axy5NUjouu6atoJQ4M126dz9NujjbY8yN2t/s59evm0rna0sPDETYdT5eWp4NmY1FSRG29UfysrV6pl27c33fT3+HHnzFF/K8dr9L/6SsTLq+FgbGalMaXiae8ph66uf0O9KXEPx4mXg5cYSzrhDa9O6tBVh8TT1lOyd7T+fV3XdfFx85HoO0/fgqYqv0pKIkqkNK5UCgMKVZNgGMTLwUt83HykIq0bde85Reb3meLl5FX7fIQsDJGikKL2LtYZYRjtwnRdl+33bpffbv9Nfr/rd3m91+tSllfW4LaFaYWyacQm2Txxsxgr2/bNvSijSN4Z/I6sx3qJ/7sVfW2oy9g/YH+jzTqr8qqa9UWlPLlcAmcHSsiFIR2qiUpRSJH4jfWT1Bkvism2h0TN3CKedp6S753f4Pbh4eECQFxdXWX79u1y7NiJvt///POPODo6iqZpUlFRIcWHiiX6jmh5+oGnBYC89dZbjRfEaBT58kuRnTtPLLv5ZhVIzfx8mapM4tPHRyJXtLLGyMIyVv0purWt6FdfK6LrkvKO6n+TtlnVwpWWlso999wjjo6O8vbbb4tI4/3hG7J161bZiI3y78R/T7udrutS6Fco+sMPq4/hzZtbfjJ3361uPOR0sdqDZ55Rz8lp+olmb88WAwyqjy8MEnZpmBisDU1+8W2IqcokvkN9Jfi8+v0ig88Prm3KWxxuhhurWVkie/ao/8fEqJsKzfXPPyf6rublqefo/vsb3760VOS881Sf2+3bz7zMZ0g36nLwrIPi09vnjMYLyNubJwYY5NjWhsfGIPMqiVQtmA7/n/mahIddFib+E/wbXV+WWCY+fXzqNJn36e0jGZ9nSEl0iXg5qgDWYW9AtxFThUliH4wVAwwSfE6wFPgWnL5feyfQVBjl1C6dmKZpcOzriLCvwxD6RSg8HvBAj971R8/cvnI7Ng3fhIIjBVj20TJY21k3sDfz6TmwJx6MfBC37LoFoy8Z3abHos7BYaQDKg7Xnd5FN+pIWJ2A/X32I2BCAFLeTEHl0Ybn0C08UIiDcw6iJLQEBf8WIPfPjjNvX9qmNFSmVyK9dDH8qr9BVkh/TPxmInqd26vOdikpKSgpKcHUqVNx5MgRDB48GFdccQXmzp2L8vJyAMCiRYuwe/duTJgwAQcOHIDzFGdM+HICXtn8Cm699Vbk5eUBAIqKinD11VejouKk59TaGrjjDjXa6HEXXABkZqppGczIytYKfa/qi9ztuTBVmMy677aS9+dRuPznIVSZXHAw6B6kbkrD4acPo+9VfTHowUEAgMcffxyffvopbr75Zlx00UUA0KIRoJcsWYLDNodhijNBr9Yb3e7op0cRPD8YeUueBy6+GPj6a6CqqmUntHq1msfyDKY66bDi4oC33gJuuw0499xGN0t9OxX2w+wxK2AWRr0+Cnl/58Guvx1Gv9PyzxsrWysMWTMEhd6FKPQ7MRVF4f5CFHoVYvAjg9Xv+8wwTcVDD6mpRj77TM1De8qozKe1aJGafxgAevcGli9XcxY39HeTlgYsXgz4+KhpZS6/vPVlb6H0D9JR5FuEMe+Ngf0A+xY/3vU8V9j0sUHqW6moOtbC1wa1WOq7qbDqYYXBDw822z57L+qNspgylEbXn9bPVGFC5PWRgA5M+HYCJn43ERO+noC50XMx8K6BcJrghLGbx6LAswDJryWbrUwdXUVyBULODUHGhxkY+sRQTP93OlwXuMLKrovHtdMl1bb8Yc2oeVSVVsmmkZvkwykfSnVFw308Qr8JlfVYL7/f8buFS0ekRK6IFN/hJ/rbVRdUS9gSNcpl1C1REnzOiRoIn14+EjAtQEIXh0r4snAJvyJcPO085cDoA1IcViwHRh2QwJmB7T9K37FjUr3xv5JrNU9SrlB9siozK6Ukon7TXKPRKPPmzZM5c+bU1rTl5+fLihUr5LPPPmvW4Uwmk2Rnq+ZThw4dEgCy5ngTz8YkJYnceqvqA2ZmOX+pgamyt3X8prrVxdWS6nqnCCBFL/9P/Cf5iwEG8R3qK1W5qv/Ntm3bBIA88cQTrTrWi+e/qGrSGhl50lhulP2D96u//VujVB/SxkbQbcrdd4uMGaOaAHd2uq4GaHJxOW2NYaF/Yb3RJAsOFNSOPn0mqourxae3j4RdGlY7SnTY0jDZ13efGEuMsn/gfom8yQytABITVW02IDJrlkhy8pnva8cOtZ8dO+qv++knNQDR8ZF5LSx3d6549fCSsKVhrWrFcvSbo+Jp7yn73PdJ7q6WNb+m5qvIqBBPO0+JfdC8fdArMyvFYG2QhCfrD34Uc19Mk58fuq6rQf6sDFIaU9rodp1VYUChpLydIsWhxaLruuT8mSM+vX3E28Vbjv3atVoEgM10u76yvDKpLKlsdL3JaJLwH8KlorD7tr2n9nX4ucNisDKIqcoklccqxX+iv3jaeNaOcikiUhJdIslvJkvsQ7ESfnm4BM0NksBZgRIwLUAirouoHeb/6Neqj9exX9rxzfqbb9RUHYCUYrBU3PdMvaawERERsmzZMrnqqqtk0aJFAkC+++47sxXhoYceEgDyzz//1Fun67rk5rbtlzdTlUl8evtI1C0q6BYGFkrgrEBJeCpBqvItP8BCeWq5HP36aINffhMePiTlcJfKJctFRJU9/dP02hsHRqNRxowZIzNnzmx02pbmOj5wR8bnDQxiJCIp76qmwQHTAlo/CFRxsZqeoyuorlY3Tt57T0RUU7Wq/CqpzKqU6oITN1ojrosQb1dvqS4yzwA7xx157YgYYJD9A/ZLwpMJYoBBjmxQ/SwjbogQ36GND17VIlu2qMGsWnsDobJSjcJ78s2TjJP+5lrSBNiMMn/IFE9bTwmYFiCVmY1/L2mu4rDi2ptHJ39ekPkkPpMoBs0gpfHmD3zhV4TL/gH764xVcryfdnNG6K3IqKjzWuwqisOLxdvVu/Ym/D73fepzYXpAm1yH9tZUGNXUNpbn4eEhQUFB7XJsIrKso18cRezdsZgbMxex98WiyK8I0/6aht4X9G7xvsQkCJgcAM1Gw5ywOdCsTzSjrEirQElwCVzOcoFd34Yntk//KB2pb6di2t/T4DjGseUns2kTsHo15IILEJl6NypcxsHj4Jx6m+m6jjvvvBOhoaGorKzEhRdeiA8++KBFzT5Pp6ysDLNnz0ZxcTHCw8PRp0+f2nWbN2/Ghg0b4O/vj+HDhqmJ68eMAazM29Qn5q4YZG/NxrgPxyH2nlhY9bCCMc8IGzcbDH9uONxvcoede8PXwZxM5SYEzw9GaXgppv45FW5L3WrXFfoVIuSsEAy5ywlj3hqjmjg2IDk5GVVVVRg7dmyryiK6YF+ffSifWY4L91wIGxub2nXGEiP8R/nDebozhj45FOGLwzH5t8nod1W/Vh0TFRXAzp3ANde0bj/tRQTQNPWvCPL+KUDElRHQK2qaOlsBvc7vhT6X9sHhpw9j2FPDMOq1UWYugqDAqwDJG5JRsLcA1j2tMT9lPmx72SLt/TQkrErA/OT5cBjmYNbjtkpmJjBggPr/1q3ALbcAe/YA55zTLsVJ3ZiKxDWJcD3fFVO3TYWNq03TD2oGU7kJ4UvCURZdhvlH5sPasXVdjfRqHVnfZsFhuAN6L2r5Z1BXYiwxwm+YH3pd2AtTfpli9v1n/5aNyGsiMfWPqXC7zA0VKRUInBII55nOmL53Oqxsmv5MOjj/IGACZgfONnv52kNFWgVCFoRATIIp26agNLIU+bvyYTfYDiNfHgnrHm3bla49aJp2UEQ8GlvfxRshE1FH4DBSfYGLWhGFQq9CTPh8whkFUQDQrDWMWD8CZZFliF0Zi/hV8YhaEQX/sf7wG+qHiCsjEDA+ABmfZEBMdW+2lRwqQcKjCahIrEDEFREwFhmbPF5pTCmMJSdtN2cOcNddKH7pJ+QkDMag+070samsrMSqVauQlJQEKysrfP311wgLC0NMTAw+/PBDswVRAHB0dMT333+PrKwsvPPOO7XLw8LC8MQTT8DDwwNDhw6F/uOPwPjxwKFDZjv2cf2u7wdTkQnRt0TDeaYz5kbPxezg2XCe4YzE1YnwHeCLgCkBOPzM4Xp9KAsPFCJ1UyrMcUM04dEElIaXwsbNBkf+70jtPvWyamTd8AkcBltjxMaZ9YKoruvYsmULRATDhw9vdRAFAM1KAxYB8ATuu/E+mEwn+tSmv5eO6uxqjHxlJHpd2Au2fW1x7H/HWn1MbNp0oi9iZ5OcDJx3nuovqmkQ0ZCwJgF2g+0weuNojN08FsPWDUNleiUOP3UYmo2GwavM16/tOE3T0Hthb8z4ZwZmBczC9L3TYdvLFgDgeq4rAKDQxwz9Rs3peBCNjARuvx2YMUO9P1mYiCBxbSIS1ySi77V9Me3vaWYLogBg3cMaI18eiersahz94mirypmzLQeBUwIRe3csom+JPm3f7q6q8mgljn51FIefPaw+B/ONGPrE0DY5lttlbrDta4vMrzIhIoi9NxaiCyZ8PaFZQRQA+l7ZF8VBxahMb3hMic7EWGjEoaWHYCw0Ytpf0+AyxwUD7xiIST9Owpi3x3TJINocDKNE1OaOh9GSgyUYunYo3Fe4t2p//W/oj55zeyLzq0xkfpOJIt8iOE5yxOiNozHt72lwmuqEuPviELwgGEWBRQDUgAnRN0fDprcNJm2ZhLK4MkSviK4XWI/TjTqSnk9C4KRARC2PUrVPAHD22cDnnyPjyxxYOVmh/039AQDp6ek4//zz8f777+Off/5p1fk116xZs/DRRx/hoYceAgDk5+dj+fLl6NOnD9atW4dBgwZhd1mZ2njHDrMfv/ei3nCa6oQBdw7A9L3TYdffDj1n9sT0PdMxO2g2Rr0+Cnbudkh5LQXZP2XXPk5EEHtPLBJXJyLjvxmtKkPW91k4+ulRDHt6GEa/ORrFQcXI/SMXSE1F5aRzMS71KUy9+B/Y9Kz75VhEsHr1aixfvhw7zPzczH51NuxgB+OvRtx7773QdR1VOVVIeSsFble4wWWuC6xsrND32r7I3ZELU2krB4F67DHgoouAe+4B7rsPqOwkX9oqK4GrrqpzoyTz20yURZZh1OujMPSxoRj80GCM2jAKc2PmYnbIbMz0mQn7gS0fEKclXOa4wGWOS+3vzlOdYd3T2jyDGJnbffcBU6YAPXuq2lH7tn1uTqVX64i5Iwapb6Zi0AODMHnLZFg7mP8Lteu5rnA52wWpb6ZCr2p5gBSTIPqWaERcFQHNSsOwp4ehKrMKOb/nmL2sHZGIIPfvXERcHYEDQw8g9s5YpLyRgsrUSgx9aihc57u2yXGt7KzQf0V/5GzPQeo7qcjflY/Rb4xGjxH1B9tsTN8r+wIAcraf2bUyFhqR/lE6KlIrmt64lSqPVkL0xm+wHn76MMqiyzD518lwnu7c5uXpNE7Xhrctf9hnlKj7MFWbxNvFWw1oYaZh2nVT43OO6roumd9nyv4B+8WgGSTmvpjaAROOT6SdtjlNDDBI4rrEeo8vTy2X4HODa/v2GbBXqkdPU3M/ikjlsUrxcvSSmJVqPkkfHx9xd3cXJycn+eWXX8xyfi1lMpnE1dW1th9pZWWlODk5yYMPPihy6aVqYJisrPoPPHbMbBPcN0Q36eI33k+C5gTV9uc8Pm3D/sH7xdPWUwr9C5vYS8PKEsvEy8lLgs8NFlO1SUxVJjkw+oDEjtokes9eYoSDpJ/1SoNT2zz//PMCQB577LE2mSoobGmY/O30t9jCVl568SU5dM0h8bTzrDPAVd6/6nnI2tLAdWmp6mqRtWtVQ9d580TauM+wWbz8sirvtm0iogZ38h3mK0EeQR1q+iYRkdDFoeI/ufFpKtrN88+r53DfvnY5fORNkWoe6ZeS2vya5exUg6ZlfNFwf+zjsrZkSehFoVJwoEBE1OdB9N3RqpwvJompyiS6URff4b4SckFIm5a5ozj6leqnua/fPkl4KkGKw4vFVGWZ6UKKQ4tr+0YGnxfc4sEHdV0Xv7F+Ero4tEWPqy6olqQXk8Snl5o+Jvzy8BY9/lTxa+Il+o7oRr93FAYWisHaIGGXhUl1cf3P1LLDZeJpY/6BojoDcAAjIuoIylPKLfbhd1x1YbXEr44Xg7X6IIx96MSHgK7rErNSBdQ8Q17t8qr8Kjkw8oB4OXnJ0W+PiqnCJHHu6kuz6atvxFRhksCzAsXT3lOKw4vF09NTAMjYsWMlIiLCoud3ssrKSlm/fr3897//rV22dOlSGTt2rEh0tJpvcOXKug/6+28Rd3eR9etFYmNFbrlFzU9oZmkfqOBf4Ku+HIZfGS77+u6TivQK8R3uK77DfGsHqGqJuFVx4mnnKeWp5bXLctd8LybYSrHNWAnq878G9/vuu+8KALnrrrva7At07u5cMcAgL8x7QZZYLxEDDJL8Rt3RU3WjLvsH7JdD1xwy34G3bhUZO1YkvHVfvNpcYqKIg4PIddfVLjo+uFPeP3mneWD7OLJBDXB0fPTlDsNkavgmkwUUh6mQkfhs/Rt6bUHXdQmcGSh+4/ykKKhI4h6JE/8J/nL4hcO1oyCnvp8qBs0gnjaeYrAySMITCRL3aJyaQ/OFunNoHnlVXdPWjMTcGehGFeYCZwe223yVgTMCxauH1xkPzpPwRIJ42nrWGczsdIpCimT/IDVqefgV4bU3I4qCz2zAt9K4UjFo6ntE/Or4BrcJvSRUvJ29xWBlkMCZgVKRXncwvOg7osXLwave8u6AYZSIur3i8GJJeilJjKV1Ry41lhjFb4yfHBhxQKqLq0XXdYm4IUIM1gYp2K+Ck1RXi3HQKCnGSEnddER8r/AVAwzy1pK3REQkLS1Nnn32WcnPz7fwWTVt48aNAkCOHDkismaNyKBBavTVigr1OyAyebIKLnv3qt8ff9zs5agurhZvV2+JuDFCypLKxGBlkMRn1BfYwoBC8bT1lENXNx7IKrMrJe+fvDojzxpLjeLt6l1vyg1TSJjkOy4QH2xvsMYxOTlZ7Ozs5NprrxWjsRUj2TZB13Xxn+wv+8fsl3+d/pXgc4IbvKMe90iceNp7SlWeGUNOG9Z0t5au6xK3Kk4K594murOzSFqaiKjpWXzcfCT04pbVflhKvme+mopiR8efyshSom6JEi8nL/P+7TYh6+es2lo2T3tPObjgoBhgkAMjD9TeXAy/Ilwqsyol5t6Y2m3jHo2rd+OpMqtSPG09JW5VnMXK3x6ytmS1+wj0JZElUrCv4Iwfn++jXn9Z/2v6xkvu7lzx7uktvkN8a1vdVOVXiberd70bf829GRl7f6x42nlK1O1RamTnj+qO7JxnUK1cUt5OkZw/c8TLyUt8h/rW1s6XxpSKwcog8WsaDrJdHcMoEXUM5vjin5ioavnMqGBfgRg0g8TeHysZn2WoYeRfPXJig88+EwEkcdq78q/1v2KAQR5yeki8vLzMWo62EBERIQDk008/VSG0qEjVgM6cqd7+H3qo7hQT990nYmUl4mumaSxOEr9G1VBH3hwpBmtDndrMpJeTxACDFPqdaK6r67okrksUv7F+tV8oY+6LqV2f8aW6Vvle+WqBwVDbHLfQv1BS3k1p9IuGn59fq6dwaY70T9PFAIN4OXlJWWKZ5ObmqiaD0dGybds2MRqNtbVLSS8mib+/v/lqaisqRJ58UuSQGWtdzaAwUM0T6ok9EtLrM0l6KUlCLwpVcwy7+UhxWMPzs7Y3Y5lRPG09Jf6x7vll8lTlyeVisG68lqit6EZdEp5KkLTNabW11HmGvNrpX6LvjK4zjUjeP3mSsjGl0aahkTdFirertxhL2u7GVHvSdV0CpgeI33i/9p+buxV0oy77+u1rcL7ffJ98SVyXKInrElVrGRtPCZgaUOczRkTk8POH1RzQ4Wpez5R3U8Snt09t153GVGZVipeD6pajG3UJuyxMDNaG2rlAdV2Xg/MPyv7B+2tr6ItCisR3uK8YrA1y+P8OS8T1EeLl5CWVWa2f7qgzMksYBbAEQCyABABPN7LNQgChACIBeDW1T4ZRom4gOVnkootEhg0TsbYWeeyxBvvvNUtBgcjAgSJubiJ5ZmrGZzSKVFVJ/OPxtXfaQxaFnPjQ1nWRGTNE5s6VrW/9IruxW/7T/z+SkXH6Pksdha7rsnbtWgkICDixMDBQPY/bt9d/QGGhulYTJqh5DM2o7LCqETXAIBHX123OXF1UrWrFTuoTlPGFCpuhF4dK8hvJEnVrlBg0Q+2d7qB5QeI/0V/0ggKR229XH2fff9/o8Xfv3i3fn2Z9WzCWGSX04lDJ/DFTfvjhB3FychJ3d3cBIADkqZo+yOFXhIuhp0Ec4SgffPCBlJWVyZIlSyQkJOTMD56VpZpgT57coeYiTbjzgPja/y65e3JrQ+g+932S8nZKg/2sOpJD1x4SbxfvOvPo6rouubtzJfPHTMn+PVsKA86s/3Nnc7z7Q3lyedMbW4CpyiQFBwpafDPneI1bwpMJzW4C2pk0t59tZxB9Z7R4u3jXNrXVdV1S/5OquuFYGcTT1lM8bT0l7NKwBq9lVW6VeDur2tHou6JrbxT69PKRsoTG5/09/H8qxJZEq+bc1UXVEjgrUH2W3RAh6R+rm47pn9StLa0uqFafWzU3U4+3BuqOWh1GAVgDSAQwCoAdgDAAk07ZpheAKADDan7v39R+GUaJuoH8fJE5c0RWrBC5+mr1lvPuu2e2rwcfVLV2VlYijz565mXau1dk2TKR8eNF7OxEbrpJjGVG8Z/gr/oxZpxSY5aaKqV+fuLm5iYXz75Yyss6xpevVik/zTn8+ae6Tu+/b/bDHrrqkKrN9M6vty75zWTVr3RfgVRkVIhPL586g11UF1bL/oH7JXBWoBQFFUkmFknF8Jkigwerv4kXXhCpari5oLe3t/To0UNmzJgh1e3UhDU9PV3OPfdcWbFihXzyySdyzz33yDvvvCMiIlleqhndA70fkOLiYomOjpaZM2e2/qbH7t3qJtAFF5z+mluIsahcCmxmSEXPEbXXqjSutLY2oaMrCi6qHaznuOM19Cf/HP36aPsV0gKq8qrEy8lLom6Jau+itJqu6xJ2aZgKJj28JOrWKClLajyYdCa6rkvwucHiO8S33fqKmlNRUJH49FGDEUWuiKztBxp+RbhUFzXvfT1xXWLt6/Tw84elLKFMfHr7SMC0gHrdeERUdxAfN596gx+ZKkyS9FKSeNp7igEG8RvrV6dG/mRZ/8uSQ9ccsmhz9o7GHGF0AYBdJ/2+DsC6U7Z5EMCGpvZ18g/DKFE3YzKJXHONyLXXtrx2VNdFnnhC9We87z4RD49Gg8dpvf66Ci5Dh6pyPPmkSKiqjavyPyTGi5aeaNbo46PKXCMoKKjT1IiezGg0ip+fn6Smpja6TXGxGoiptlbhq69ESsw/qEdpXGmjzWeNJUbZ13+fhFwQIoeuPiReDl5SGnvSYBe5uVK65G7xxh/iO8xXUqxvEtMFF6ua90aaFeu6Lnv37pWePXvK+PHjJTMz0+znZA6rVq2SN/GmGHobar8Qma257nffiWiayOWXn9lr5kwVFYkkJdVZVHrpShFAitd+ZLlymFn4snDx6eMj1UXVUpFec9Pk3GApiSyRoqAiObjgoOzru6/jDXRkJrpJV03uYeiwTapbStd1KfQvlJj7YsTb2Vt8h/lKeUr737w5E9XF1ZL+cbpE3Bgh+werAXxSNzX+3t/ZVOVXSeLTieLl4FU7Gn5Lmh9XZldK6OLQOn1Pc/7KEYOmajkrj51oEVSVWyXxj8U3egNVRKQ0vlSibo+qMwgi1ddUGNXUNo3TNO06AEtEZGXN77cCmCciD5+0zSYAtgAmA+gJ4D0R+eZ0+/Xw8JCgoKDTHpuIupiKCsDODrCyAj74ADh2DBg5ErjxRqBHM+YdEwHKygAHB8D6DOaye/NNIDQU+OQTwPmUOb527QKWLweKioBrrgF+/RWVL7+MPdOmYdmyZS0/VgeRlZWFAQMG4NFHH8WmTZvqrU9KSsLixYthZWWFwMBA9OzZ88RKXVfXykJSN6UicXUiAGDUG6Mw7KlhasXhw8D550MyM5E0ZSNSQqfA/TZ3TPx64mn3d8kll2DPnj0YOXIkvL29MWTIkLY+hRb75ZdfcP311+OFq1/ABb9dgDGbxmDIo2Yu54cfAk8+CezfD8yYYd59NyQ2Frj6avUaDQ0FoqKAlSuBgABkON+IgQU/QrPW2r4cbaDIvwjB84Mx6o1RKNxfiPzd+fAI94DjWEcAQEl4CYJmBWHg3QMx/uPx7Vza1jn65VEkPZeEftf0w4A7B0CqBfGPxKM4sBj9b+qPST9Mau8iml1xcDFCLwiFnbsdZnjPgP0Ay87beqaq86qRvjkdae+lwZhnhP0Qe7ie64peF/bCwDsHdtrXW2Mq0ipQmVwJ17PNMz9q8mvJSHomCbACXM92hd0gO+T8ngOpFPS9ti8m/zwZmta1nkNL0jTtoIh4NLq+GWH0egCLTwmjc0XkkZO22QzAA8AiAD0AHABwmYjEnbKvewHcCwDDhg2bnZycfEYnRUSdR1lZGWJiYpCUlISFCxfCzc1NrViyBNi9WwXMWbOAX35RwfRUGzcCM2cCCxeitLQURqMRrq6uQH4+kJzc9JfrnTvVMS67DKi5CxcRGYl///0X//77L44dO4Y5c+ZgzZo1GNGzJ7BhA/DBBzCOHImLevaET0gIDh48iBmW+BLfRu6991589tln2Lt3Ly644ILa5V5eXrj22mtRXV2Nn376CYsXLz7xoPBwdZNgyxZg2jSLlNNUbkLA+ADYudth5oGZsLKxUjcszj4byMsDdu1CmcskRF4fiYnfTGxw0vC0tDQMHjwYmqZh8+bNsLa2xooVK+Di4mKRc2ipgwcP4rPPPsNbb72F+GXxKPIrgtNEJ9gPs0dPj54Y/OBg2LrZAgCMJUZkfZcFmICe83rCeZozrOyaebMgIwMYNEi9Fq65BpgzB1i0CJg9G7CxMcu5mMpNqP55F+wfWg7NwV797Vx4IbBtG+TOu5GfPxIFT3+PUa+NM8vx2kvYJWEo8C6AVApGvz0aQx8fWmd9wuMJSHs3DTMPzITrfPN8WW4LepXe6N9PdW41/Mf6w9rJGlXZVZBK9V3RbqAdRr05Cu4r3Lvsl/PC/YUIuyQMPUb1wAzvGbDtbdveRTotvVKH/zh/VKZUwu1yNwxbNwwu81267PVpK8Whxcj5LQc5v+WgMq0S/W/qj4ErB6LnzJ5NP5hOq6kwaq5muk8DWH/S758DuP50+2UzXaKuLyYmRjRNqx2wZeLEiZKdfdLUCNXVIr/9JuLqKtK7t2oae7JXXlG9Ce65R/Lz82XcuHEyevRoKS0tFTn/fJE+fRoeXbe4WPUNvfNO9fgLL6xtGvzjjz/WlmfMmDFy7rnniqOjo8THq1Ehvby85Ie33pI5Y8aIg4OD/P77723y3FhSSUmJjBs3TgYPHiy5ubliNBrl1VdfFRsbG5kwYYLExampDTIzM+WFF14Qk8kkkpurnt9zzrFo887K7MoTfQiLi1WT7B49mjXC75YtW8TJyUk++eSTNi5l2yhLLJPYB2IlbGmYBEwJEAMM4u3sLQlrEyTxmcTayduP/3g5eEnqey1sgpedLcbJs9XrApBqzVEyx97X7KZuDfWrOvrNUdnnvk+8sEvK4S6l1sPEGF13TsfkVxLFgH+kNM7889haWr63GvQmaF5Qg9P1VBdVy/7B+yVgekCHHaW1KLhIvF28JW1zWoPrYx+KFYOVGnm0Kq9K0v6bJslvJje7b15nl7snV81T+mRCexelSdnbsps97QlRe4AZ+ozaADgMYCRODGA0+ZRtJgLYW7OtI4AIAFNOt1+GUaKur6KiQl588UX56aefZMuWLWJvby/z5s2rP79jQoLIpZeKHK0Z+CM9XeSNN9Rb1IoVIkajPPXUU2JjYyMAZO3ateox/fuLDB+utj/uySfVoC2A6h+6dq1IRYUKWCJiMpnkq6++UnNv1qiurq7to3fHHXcIAHF1dRVvb++2fHosKjAwUGxsbOS6664Tk8kkF198sdxwww1SUFBQu82XX34pAGTjxo1qwbffqufxzjvPfBTk1jhyRA001dDIvyeJi4uTG2+8UQDIWWedJWlpDX/B7myKDxVL5PJINdm6ZpBD1x6SQr9CKU8ul6yfsmoHXmnugDm6rkv6R+niaespvj1+l8TRr0lB/4UigBx9fOdpH1tdUC0x98WIwcogR145Uvt6yffMF08bTwmaFyS5S18QASQEb0vqf06EZFOlSQ6MOiAHzz545k9GB3Psl2Onnbw+e1u2GKwMEjg7sMNNcm8sN9ZOheLt7C0VaXXLVxJRIgZrg8Q+GNtOJewYIpdHirezd4fv/xu5PFJ83HzEVNX5BymirqnVYVTtA0sBxEGNqvtszbL7Adx/0jZPQo2oGwHgsab2yTBK1P1s27ZNvv32WxERiYyMlD///FP27t1bN5zquqoNA0RuvFHVnooKtv/++6/cddddYm1tLWFhYSJBQSJOTiK9eolE1sw/Fh4u8uyzIjt3iuTlia7r8sMPP8iUKVMkJSWlyTKaTCbx9vaWhISOf0e8pTZu3CiffPKJ6LouZWX1R4zUdV0uv/xycXBwkMOHa2q2XlABQ9avt3BpazRQK2symWpvLrz22mtibW0tTk5O8vzzz0ulmaek6QjKksoaHOHTVGFS06NYGyTnz4bnyjNVmKTiaIWURJbUjj4ZtiSs9gu2Xl4uh+d+KJ72nlIS2fCgVdm/Z8v+gfvFYGWQoDlBtVNhlCWUiY+bj/iN91PTnRQViXz1lRw866AcGHmgdnTJ1P+kigEGyfnj9PP5dTXZO7LFy8lLfIf4SnFoxxnsJ361GpQl7cM08XLwkogbTky1pOu6hF4cKj69faQqp2OHsLZ28hzAHZWxxChejl515mAm6mjMEkbb4odhlKh7W7VqVW1z2WXLlklhYc38fLou8tNPIhs2iFRViaenp+SdNK9obm6uLFq0SIKDg9WCXbtEbGxEVq6ss39d18XHx0fmzZsnAGTmzJm1zVGpcampqeLo6ChXXXWVWqDrInfcIbJ4sboxUFAgEhVVZ6Rhs9N1kY0bRY4dq7fqxx9/FDc3NwkPV0Pt79y5U1atWtVhR8pta9VF1RI4O1C8enhJ9rYTTeB1o66mMbCuO+1I4rOJ9ZqWVhytUPO8Tvmj3hQQmT9migEGCZgeIIWBhaKbdNWEEwbx7uktPr19VNPbk2rOj/12TDUb3JIl1QXVsq+vGiXZbCMEdyJFwUWyf9B+8enlI5XZ7X+jJO+fPDHAILEPqVrPpJeSxACD5O7KlcqsSom5N0aNwNrS5t9dVPjlNaMnt+McuDl/5ciRV440uC7zB/X6zPfMt2yhiFqAYZSIOqSkpCTx9/eXjRs3irW1tUyePFkSE+tOCv3vv/+KnZ2drFixosF9VFRUqC+4MTEiJwVWo9EoI0aMEAAycOBA+fLLL+s3DaZGvfbaawJAdu3apRZUVZ2oofz1V/XRcdZZIm0VAHfsUMf49NPaRRUVFfLAAw8IAJk3b15tH18SqcyqlMAZahL2mHtjpDy5XEIvCa2djy/twzTJ/DGzdrL4huRt2C4m2ErG2RvEWKa+eBcGFoqXg5cEnxMspooTIVXXdTn8/GHxcvKSvH/y1M2JadNUSwVRQdhvrJ8EeQTVzutXFNT4sbu6kogSMVgZJO7R9r0ZVl1ULb5DfcVvnF9t319juVH8xvrJ/oH7xbuntxisDRK3Ko5NPmsUHCgQAwyS8o5qVVORXiE5f+RIYWChVGZWtmhakTNhqjbJgREHVMuCnfVbFoRfHi77B+9v83IQtUZTYbTJ0XTbCqd2IaLj9u7dixtuuAGffPIJrr32WgBAUFAQLrjgAgwfPhze3t7o06dPnceICG644QbY2Njg448/RmpqKr777ju8+uqr0DQNL730EgYOHIibb74ZTk5O7XFanVZlZSVeeOEFrFmzBu7u7nVXpqcDv/4KrF0L9OsH/PEHMHWq+Q4uokZ6zctTU4TY2iInJwdLly5FYGAgnnjiCbz66quwte3YI1xaml6pI+mFJKS+lQoA0Gw1jP1gLAatHNS8HVRVoWLkfDhkhKCkxxTo6zcg4r1+0Gw1zA6YDbv+dvWPmVcIq3ffAt55B7C3V1O4DFLHy/g4A3H3xwHWQP/l/THpu643DUhLxN4bi8yvMjE3ei56jG7GNFZtIOHxBKRtTMPM/TPhuuDEKL95/+QhfEk43C5zw+g3R8NxvGO7lK+jCl0UitJDpXAY6YDigOI663qM64FZ/rNg26tt3o+ObTmGqOVRsHaxhm0/W8yJmANrBzWtWXVeNXwH+GLwI4Mx5p0xbXJ8InNo9Wi6bfXDmlEiOll+fn7t///v//5P+vTpIyNGjJD0kwcnOonJZJJXX31VrK2tZejQoWJnZyd9+/ZtVr9Qar5Gm1YGBYkMGiTi7Czy11/mO+C2bapW9Isvahdt2LBBHBwc5NdffzXfcbqofM98Cb8iXAr9Clv+4KoqKV71rlRY9RMBJMNmmRSHNdLX8eBBEXd3da1uvlkNNnUSY5lR9vXbJ552ng32d+1uKtIrxKuHl0TcGNH0xm2gOLRYDNaq5rwhHXXU344g36tmkK45QXLklSOS75Mv2b9nS/KbyWKwOtHk2dx0XZfAWYHiN95Pcnflqv6rLyXVrk//NF0MMEhh4Bm81oksCKwZJaLORERwyy23IDAwEDt37sSYMae/47tv3z7cddddmDVrFt5//33069fPQiXt+tLS0nDNNddg06ZNOOuss+pvkJ4OLF8OvPuuqs1srdJStZ+qKiAmpnb+S13XERUVhSlTprT+GNSkqtQiFF/9DOwvmAjntx5qeKO1a4EffgC2bgXmzm1wk9y/cmEqNqH/Df3bsLSdR9LzSUjekIxZAbPgMsdy896KLgg5JwTlCeWYGzMXtn3YqqCldKOu5j0+Rfwj8Uj/IF1dUw/zXtP8f/MRtigM4z4dh0ErByHyxkjkbs/F9H+nozS8FKlvq1YQc+Pmck5R6tCaqhllGCUiogbl5ORgwYIFKCgowIEDBxq+MSACHP8i9OuvwOWXA2fahLawELj1VuCRR1C9cCGWL1+Od955ByNGjDjjcyAz2LoVGDAAOPvsE8tEgGPHgFObcVOjjEVG+I/xh/0Qe0z5fQochjmcWFdshJWDFaxs6weeM1GRVoGi/UXQbDQUhxQj5ZUUTPh6AgbcNsAs+yfFWGiE/3h/OAx1wCy/WdCs64ZCMQlghTMKi2FLwlASWoL5R+bD2sEaFWkVCJgQAL1UBwA4jHLAmI1j0PeKvmY5F6K2wjBKRERnLD4+HgsWLECfPn1w4MABuLm5NbxhcDAwezbw7LPAhg0tP5CuA1Ynvoh/8MEHePjhh7F161Zcc801Z1h6ajWjEZgxA4iOBtavBy6+GOjdGxg/vr1L1inlbMtB9C3RgAaM2TgGzrOdkf5+OrK+z4LLXBdM+3sarB2tW3WM6vxqBE4JRFVGVe2yXhf2wvR/prMGrQ1k/ZCF6BXRGLZuGFzmuUCMgrKYMuQb8lHkWwT329wx/qPGXy8VaRWwH2xf59qUhJcgaHoQRr46EsPXDa9dnvNHDkrDS+F2hRucJjvxelKnwDBKREStsn//fixatAh2dnbw9vbGjBkzGt7wlluAn39WA9mMHt38A/z6K/D22+rfAQOQn5+PsWPHYtq0adi7dy+/cLW3oiLgwQeB778HrK2BSZOAsLATNeLUIuVJ5Yi9KxYFngUAACtHK7hd5obsrdnoc0kfTNk2BVZ2Z15DGn1bNLJ+yMLU7VNhP8QeYhQ4TXUyW60r1SUiCF8Sjvzd+XWWO011go2rDQr3F2L2wdnoObNnvcdm/5aNyGsiMXLDSAx/VoVOU7kJIeeqZtXzk+bDtjebVVPn1lQYtbFkYYiIqPM5++yzsWfPHvzvf//DsGHDAAAvvPACjEYjXnrpJdjU9O3Em28C27YBq1cD27effqcigKcn8OKLgJeXqn3rqb6sbdiwAXl5eXj33XcZRDsCFxfgu++AxYuB114DPv6YQbQVeozsgel7pyPzm0yYCk1wv80dtr1tcfTzo4hdGYvoW6Ix6cdJ9Zp8Nkf279nI+jYLw18YDreljbRiILPSNA1T/5iKktASaNYaNGsNdoPtYNfXDtUF1fAf44/ExxMxfW/dmmnRBUnPJwFWQNJzSegxvgf6XdsPcQ/EoeRgCaZsm8IgSt0Ca0aJiKhFRAQPPPAAPv74Y5xzzjnYsmULBtVM6YE331SD2+zcCVx6acM7KC4Gbr5ZTQszcCCwbh2wciXQowcSEhIwadIk3Hrrrfj8888td1JEHUDqu6lIfDwRI18ZieHPDG/6ASepyqlC4ORA2A+2xyy/Wa2qXSXzSduchoRHEjBlxxT0XXaif+fxaVvGfzkeRz85ipLQEgy8eyDSN6dj+P8Nx8j1I9ux1ETm01TNKN+piIioRTRNw0cffYTvvvsOISEhOOussxAfH69WPvYYcOGFgMnU+A6cnFTN2ltvAYcPA488AvRQcy8OGjQI69evx4Yz6XdK1MkNXTMUfS7tg7T/pEGv1Jv9ONEFsXfGwphvxISvJzCIdiCD7huEHuN64PCTh6FXq2sqJsGRF4/AcZIjBtw6AFN+mwLbfrZI35wOt8vdMOKFEe1baCIL4rsVERGdkRUrVsDLywulpaW44IILUFZWBtjZAXv3AsuWqaa4OTlq42PHgNtvV9PBWFmp5rxPPAE4nBhRtLy8HI6OjnjmmWcwcODAdjorovY1ZPUQVGdV49j/jjW6zalB9chLR5D7Ry5GvzsazlOd27qI1AJWtlYY/eZolMWUIfqWaJRGl+LYT8dQFl2GEetHqGa97naY9tc0DH5kMCZ+OxGaFZvBU/fBMEpERGds9uzZ8PHxwaZNm+Do6Fh35XvvAZMnA2+8of793/8Af3+17pQ+h7t27cLYsWMRGRlpoZITdUy9L+oNx8mOSN2YilO7UpkqTIi9NxY+zj6IezgOVdlVyNmWg+QXkzHgjgEY/NDgdio1nY7bFW4Y9vQw5O7IReCkQMTdGwenqU7od+2JebGdJjlh7H/GwsaVw7lQ98I+o0REZDZRUVGYOHGiGqgjOhq45hogJgbw8AC+/lqNxHqKw4cPw8PDA0OHDoWvry+cnJzaoeREHUfGZxmIuycO0w3T0XthbwBAeWI5Iq+PRElICXpf0hv5e/PVNDACOE5wxAyfGbB2aN20MNS2qrKrkL45HVnfZmHcf8ehz+I+7V0kojbHPqNERGQRu3btwuTJk7Fz5061YOJEICAA+P13wNe3XhAtKyvDG2+8AQ8P9Rn122+/MYgSAXBf4Q7bvrZI25iG6vxqHNlwBEGzg1CRVIEpO6Zg+q7pmBMxB70X9Yatuy0m/zqZQbQTsOtnh5EvjsT8w/MZRIlqsGaUiIjMorq6GpMmTYKDgwNCQ0NhbX36L8ebN2/GI488gqVLl+LNN9/E5MmTLVRSoo4v6fkkJL+SDGsna5hKTOiztA/Gbh6LHiN7tHfRiIiajTWjRERkEba2tnj11VcRERGBb7/9tsFtCgsLERwcDABYuXIlfHx88OeffzKIEp1i0EOD0GN0D7hd6QaPMA9M+3MagygRdTmsGSUiIrMREcyfPx/p6ek4dOgQevfuXbvOy8sLt99+O0wmExISEmBvb9+OJSUiIqK2xppRIiKyGE3T8NZbbyE3NxfZ2dkAgOLiYjz44INYuHAhbGxs8MsvvzCIEhERETh+NBERmdV5552HxMREDBo0CCKChQsXIiQkBGvWrMHLL79cfwoYIiIi6pYYRomIyOwGDRoEADh27BgGDhyIDz74APPnz2/nUhEREVFHwjBKRERtxt3dHX/88Ud7F4OIiIg6IPYZJSIiIiIiIotjGCUiIiIiIiKLYxglIiIiIiIii2MYJSIiIiIiIotjGCUiIiIiIiKLYxglIiIiIiIii2MYJSIiIiIiIotjGCUiIiIiIiKLYxglIiIiIiIii2MYJSIiIiIiIotjGCUiIiIiIiKLYxglIiIiIiIii2MYJSIiIiIiIotjGCUiIiIiIiKLYxglIiIiIiIii2MYJSIiIiIiIotjGCUiIiIiIiKLYxglIiIiIiIii9NEpH0OrGnZAJLb5eDN1xdATnsXgk6L16jj4zXq+HiNOj5eo46P16jj4zXq+HiNOoeWXKfhItKvsZXtFkY7A03TgkTEo73LQY3jNer4eI06Pl6jjo/XqOPjNer4eI06Pl6jzsGc14nNdImIiIiIiMjiGEaJiIiIiIjI4hhGT++T9i4ANYnXqOPjNer4eI06Pl6jjo/XqOPjNer4eI06B7NdJ/YZJSIiIiIiIotjzSgRERERERFZXLcKo5qmDdU0zaBpWrSmaZGapj1as7yPpml7NE2Lr/m3d81yt5rtSzRN23zKvv7WNC2sZj8faZpm3R7n1NWY8xqdtM/tmqZFWPI8ujIzv448NU2L1TQttOanf3ucU1dj5mtkp2naJ5qmxWmaFqNp2rXtcU5djbmukaZpPU96/YRqmpajadqmdjqtLsXMr6ObNE07pGlaeM33h77tcU5djZmv0Y011ydS07Q32+N8uqIzuEYXa5p2sOb1clDTtAtP2tfsmuUJmqb9R9M0rb3Oq6sx83V6RdO0VE3TSpp17O7UTFfTtIEABopIsKZpPQEcBHAVgDsA5InI65qmPQ2gt4is1TTNCcBMAFMATBGRh0/al4uIFNW8EH4B8LOI/M/Cp9TlmPMa1ezvGgDXAZgmIlMseCpdlplfR54AnhCRIAufRpdm5mv0IgBrEXlO0zQrAH1EhHPAtZK53+tO2u9BAKtFxNsS59GVmesaaZpmAyADwCQRyakJOmUist7iJ9XFmPEauQEIATBbRLI1TfsawDcistfyZ9W1nME1mgkgS0QyNE2bAmCXiAyu2VcAgEcB+AHYCeA/IvKX5c+q6zHzdZoPIBlAvIg4N3XsblUzKiJHRSS45v/FAKIBDAZwJYCvazb7GurJh4iUisg+ABUN7Kuo5r82AOwAdJ9U34bMeY00TXMGsAbAhrYvefdhzmtEbcPM1+guAK/VbKcziJpHW7yONE0bC6A/AJ+2K3n3YcZrpNX8ONXcwHaBCqfUSma8RqMAxIlIds3v/wBgKxAzOINrFCIix18fkQAcNE2zrwlLLiJyQFRN2jfHH0OtZ67rVLPOT0SONvfY3SqMnkzTtBFQd8f8Abgff9Jq/m1WU0FN03YBOAagGKp2lMzIDNfoZQDvAChrqzJ2d+Z4HQH4UlPNC59nkxvza8010jStV81/X9Y0LVjTtJ81TXNvw+J2S2Z6HQHATQC2SHdq8mQhrblGIlIN4AEAh1BTQwrg87Ysb3fUytdRAoAJmqaNqKnJvgrA0LYrbfd0BtfoWgAhIlIJFYzSTlqXVrOMzKyV16nFumUYrakx2wrgsZNqOFtMRBYDGAjAHsCFTWxOLdDaa6Rp2gwAY0TkN3OXjRQzvY5WiMhUAOfW/NxqrvKRWa6RDYAhAPaLyCwABwC8bcYidnvm+jyqsRzAj60vFZ3MDJ9HtlBhdCaAQQDCAawzayG7udZeIxHJh7pGW6BaFhwBYDRnGbu7ll4jTdMmA3gDwH3HFzWwGW+8mZkZrlOLdbswWvOhsBXA9yLya83irJrq/+Ntpo81d38iUgFgO1Q1NpmBma7RAgCzNU07AmAfgHE1/RPJDMz1OhKR9Jp/iwH8AGBu25S4+zHTNcqFallw/KbOzwBmtUFxuyVzfh5pmjYdgI2IHGyTwnZTZrpGMwBARBJraq1/AnBW25S4+zHj59EOEZknIgsAxAKIb6sydzctvUaapg2B+ty5TUQSaxanQd0cPW4I2NzdrMx0nVqsW4XRmiaAnwOIFpF3T1q1HcDtNf+/HcC2JvbjfNKFsQGwFECM+Uvc/ZjrGonIf0VkkIiMAHAOVF+QheYvcfdjxteRjVYzomTNG+AyABz12AzM+DoSADsALKxZtAhAlFkL202Z6xqd5CawVtSszHiN0gFM0jStX83vF0P1x6JWMufrSKsZzV1To4U+COAz85a2e2rpNarpHvIngHUisv/4xjVNRIs1TZtfs8/b0Pz3R2qCua7TGR27O3Ut0TTtHKjmF4cA6DWLn4FqE/0TgGEAUgBcLyJ5NY85AjXYgB2AAgCXQNUW/AHVPNcawL9QoxeySUcrmesaiUjUSfscAeAP4Wi6ZmHG11EyAG8AtlCvo38ArBERk4VOpcsy5+tI07ThAL4F0AtANoA7RSTFUufSVZn7vU7TtMMAlooIb4yaiZlfR/dDjQJaDfXed4eI5FrsZLooM1+jHwFMr9nHS8IZEsyipddI07TnoJqxn1wzfYmIHNM0zQPAVwB6APgLwCPsI28eZr5ObwK4GapbQgaAz+Q0o4d3qzBKREREREREHUO3aqZLREREREREHQPDKBEREREREVkcwygRERERERFZHMMoERERERERWRzDKBEREREREVkcwygRERERERFZHMMoERERERERWRzDKBEREREREVnc/wOpRA1tiyMpeQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,1,figsize=(16,8))\n",
    "plt.plot([dt.datetime(2015,1,1)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTot7F))],SiGlobalTot7F,'k-')\n",
    "plt.plot([dt.datetime(2015,1,1)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTot7F))],NGlobalTot7F,'k--')\n",
    "plt.plot([dt.datetime(2015,1,1)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotHC))],SiGlobalTotHC,'y-')\n",
    "plt.plot([dt.datetime(2015,1,1)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotHC))],NGlobalTotHC,'m-')\n",
    "plt.plot([dt.datetime(2015,1,1)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotHC18))],SiGlobalTotHC18,'g--')\n",
    "plt.plot([dt.datetime(2015,1,1)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotHC18))],NGlobalTotHC18,'r--')\n",
    "plt.plot([dt.datetime(2013,1,1)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotHC1))],SiGlobalTotHC1,'c--')\n",
    "plt.plot([dt.datetime(2013,1,1)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotHC1))],NGlobalTotHC1,'--',color='purple')\n",
    "#plt.plot([dt.datetime(2015,1,11)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotZ4))],SiGlobalTotZ4,'c--')\n",
    "#plt.plot([dt.datetime(2015,1,11)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotZ4))],NGlobalTotZ4,'c--')\n",
    "\n",
    "#ax.plot([dt.datetime(2015,1,11)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotZ5))],SiGlobalTotZ5,'m:')\n",
    "#ax.plot([dt.datetime(2015,1,11)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotZ5))],NGlobalTotZ5,'m:')\n",
    "#ax.plot([dt.datetime(2015,1,11)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotZtest))],SiGlobalTotZtest,'b:')\n",
    "#ax.plot([dt.datetime(2015,1,11)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotZtest))],NGlobalTotZtest,'b:')\n",
    "\n",
    "#ax.plot([dt.datetime(2016,1,6)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotZ6))],SiGlobalTotZ6,'r:')\n",
    "#ax.plot([dt.datetime(2016,1,6)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotZ6))],NGlobalTotZ6,'r:')\n",
    "#ax.plot([dt.datetime(2016,1,6)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotZ7))],SiGlobalTotZ7,'g:')\n",
    "#ax.plot([dt.datetime(2016,1,6)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotZ7))],NGlobalTotZ7,'g:')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
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