{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "papermill": {
     "duration": 1.289454,
     "end_time": "2020-11-16T18:41:47.150991",
     "exception": false,
     "start_time": "2020-11-16T18:41:45.861537",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import numpy as np  # this module handles arrays, but here we need it for its NaN value\n",
    "import pandas as pd # this module contains a lot of tools for handling tabular data\n",
    "from matplotlib import pyplot as plt\n",
    "from salishsea_tools import evaltools as et\n",
    "import datetime as dt\n",
    "import os\n",
    "import gsw\n",
    "import pickle\n",
    "import netCDF4 as nc\n",
    "import cmocean\n",
    "from scipy import stats as spst\n",
    "from pandas.plotting import register_matplotlib_converters\n",
    "register_matplotlib_converters()\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "papermill": {
     "duration": 0.021329,
     "end_time": "2020-11-16T18:41:47.190855",
     "exception": false,
     "start_time": "2020-11-16T18:41:47.169526",
     "status": "completed"
    },
    "tags": [
     "parameters"
    ]
   },
   "outputs": [],
   "source": [
    "modSourceDir= '/results/SalishSea/nowcast-green.201812/'\n",
    "modver='201812'\n",
    "Chl_N=1.8 # Chl:N ratio\n",
    "fname='compHPLCModelFirstLook-Regress-Base.ipynb'\n",
    "startYMD=(2015,1,1)\n",
    "endYMD=(2018,12,31)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "papermill": {
     "duration": 0.020792,
     "end_time": "2020-11-16T18:41:47.228824",
     "exception": false,
     "start_time": "2020-11-16T18:41:47.208032",
     "status": "completed"
    },
    "tags": [
     "injected-parameters"
    ]
   },
   "outputs": [],
   "source": [
    "# Parameters\n",
    "modSourceDir = '/data/eolson/results/MEOPAR/SS36runs/GrahamRuns/2018ES_LF/'\n",
    "modver = '2018ES_LF'\n",
    "start_date = dt.datetime(2015,1,1)\n",
    "end_date = dt.datetime(2015, 6, 30)\n",
    "Chl_N = 1.8\n",
    "#fname = \"compHPLCModelFirstLook-Regress-2018ES_LF-2015.ipynb\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "papermill": {
     "duration": 0.021691,
     "end_time": "2020-11-16T18:41:47.305811",
     "exception": false,
     "start_time": "2020-11-16T18:41:47.284120",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "matched_2018ES_LF_20150101_20150630.pkl\n"
     ]
    }
   ],
   "source": [
    "datestr='_'+start_date.strftime('%Y%m%d')+'_'+end_date.strftime('%Y%m%d')\n",
    "print('matched_'+modver+datestr+'.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "papermill": {
     "duration": 0.023151,
     "end_time": "2020-11-16T18:41:47.346325",
     "exception": false,
     "start_time": "2020-11-16T18:41:47.323174",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def subval(idf,colList):\n",
    "    # first value in colList should be the column you are going to keep\n",
    "    # follow with other columns that will be used to fill in when that column is NaN\n",
    "    # in order of precedence\n",
    "    if len(colList)==2:\n",
    "        idf[colList[0]]=[r[colList[0]] if not pd.isna(r[colList[0]]) \\\n",
    "                         else  r[colList[1]] for i,r in idf.iterrows()]\n",
    "    elif len(colList)==3:\n",
    "        idf[colList[0]]=[r[colList[0]] if not pd.isna(r[colList[0]]) \\\n",
    "                         else  r[colList[1]] if not pd.isna(r[colList[1]]) \\\n",
    "                         else r[colList[2]] for i,r in idf.iterrows()]\n",
    "    else:\n",
    "        raise NotImplementedError('Add to code to handle this case')\n",
    "    idf.drop(columns=list(colList[1:]),inplace=True)\n",
    "    return idf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "papermill": {
     "duration": 0.032461,
     "end_time": "2020-11-16T18:41:47.396240",
     "exception": false,
     "start_time": "2020-11-16T18:41:47.363779",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "if os.path.isfile('matched_'+modver+datestr+'.pkl'):\n",
    "    data=pickle.load(open( 'matched_'+modver+datestr+'.pkl', 'rb' ) )\n",
    "else:\n",
    "    # define paths to the source files and eventual output file\n",
    "    flist=('/ocean/eolson/MEOPAR/obs/NemcekHPLC/bottlePhytoMerged2015.csv',\n",
    "           '/ocean/eolson/MEOPAR/obs/NemcekHPLC/bottlePhytoMerged2016.csv',\n",
    "           '/ocean/eolson/MEOPAR/obs/NemcekHPLC/bottlePhytoMerged2017.csv',\n",
    "           '/ocean/eolson/MEOPAR/obs/NemcekHPLC/bottlePhytoMerged2018.csv')#,\n",
    "           #'/ocean/eolson/MEOPAR/obs/NemcekHPLC/bottlePhytoMerged2019.csv')\n",
    "\n",
    "    dfs=list()\n",
    "    for fname in flist:\n",
    "        idf=pd.read_csv(fname)\n",
    "        print(fname,sorted(idf.keys()))\n",
    "        dfs.append(idf)\n",
    "    df=pd.concat(dfs,ignore_index=True,sort=False); # concatenate the list into a single table\n",
    "\n",
    "    df.drop(labels=['ADM:MISSION','ADM:PROJECT','ADM:SCIENTIST','Zone','Zone.1','Temperature:Draw',\n",
    "                    'Temperature:Draw [deg C (ITS90)]','Bottle:Firing_Sequence','Comments by sample_numbeR',\n",
    "                    'File Name','LOC:EVENT_NUMBER','Number_of_bin_records'\n",
    "                       ],axis=1,inplace=True)\n",
    "\n",
    "    df=subval(df,('Dictyochophytes','Dictyo'))\n",
    "    df=subval(df,('Chlorophyll:Extracted [mg/m^3]','Chlorophyll:Extracted'))\n",
    "    df=subval(df,('Dinoflagellates','Dinoflagellates-1'))\n",
    "    df=subval(df,('Fluorescence [mg/m^3]','Fluorescence:URU:Seapoint [mg/m^3]','Fluorescence:URU:Seapoint'))\n",
    "    df=subval(df,('Lat','LOC:LATITUDE'))\n",
    "    df=subval(df,('Lon','LOC:LONGITUDE'))\n",
    "    df=subval(df,('Nitrate_plus_Nitrite [umol/L]','Nitrate_plus_Nitrite'))\n",
    "    df=subval(df,('PAR [uE/m^2/sec]','PAR'))\n",
    "    df=subval(df,('Phaeo-Pigment:Extracted [mg/m^3]','Phaeo-Pigment:Extracted'))\n",
    "    df=subval(df,('Phosphate [umol/L]','Phosphate'))\n",
    "    df=subval(df,('Pressure [decibar]','Pressure'))\n",
    "    df=subval(df,('Raphidophytes','Raphido'))\n",
    "    df=subval(df,('Salinity','Salinity [PSS-78]','Salinity:T1:C1 [PSS-78]'))\n",
    "    df=subval(df,('Salinity:Bottle','Salinity:Bottle [PSS-78]'))\n",
    "    df=subval(df,('Silicate [umol/L]','Silicate'))\n",
    "    df=subval(df,('TchlA (ug/L)','TchlA'))\n",
    "    df=subval(df,('Temperature','Temperature [deg C (ITS90)]','Temperature:Secondary [deg C (ITS90)]'))\n",
    "    df=subval(df,('Transmissivity [*/metre]','Transmissivity'))\n",
    "\n",
    "    df['Z']=np.where(pd.isna(df['Depth [metres]']),\n",
    "                     -1*gsw.z_from_p(df['Pressure [decibar]'],df['Lat']),\n",
    "                     df['Depth [metres]'])\n",
    "    df['p']=np.where(pd.isna(df['Pressure [decibar]']),\n",
    "                     gsw.p_from_z(-1*df['Depth [metres]'],df['Lat']),\n",
    "                    df['Pressure [decibar]'])\n",
    "    df['SA']=gsw.SA_from_SP(df['Salinity'],df['p'],df['Lon'],df['Lat'])\n",
    "    df['CT']=gsw.CT_from_t(df['SA'],df['Temperature'],df['p'])\n",
    "\n",
    "    df['dtUTC']=[dt.datetime.strptime(ii,'%Y-%m-%d %H:%M:%S') if isinstance(ii,str) else np.nan for ii in df['FIL:START TIME YYYY/MM/DD HH:MM:SS'] ]\n",
    "\n",
    "    PATH= modSourceDir\n",
    "\n",
    "    flen=1\n",
    "    namfmt='nowcast'\n",
    "    #varmap={'N':'nitrate','Si':'silicon','Ammonium':'ammonium'}\n",
    "    filemap={'nitrate':'ptrc_T','silicon':'ptrc_T','ammonium':'ptrc_T','diatoms':'ptrc_T','ciliates':'ptrc_T','flagellates':'ptrc_T','vosaline':'grid_T','votemper':'grid_T'}\n",
    "    #gridmap={'nitrate':'tmask','silicon':'tmask','ammonium':'tmask'}\n",
    "    fdict={'ptrc_T':1,'grid_T':1}\n",
    "\n",
    "    data=et.matchData(df,filemap,fdict,start_date,end_date,namfmt,PATH,flen)\n",
    "\n",
    "    with open('matched_'+modver+datestr+'.pkl','wb') as f:\n",
    "        pickle.dump(data,f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "papermill": {
     "duration": 0.024977,
     "end_time": "2020-11-16T18:41:47.439057",
     "exception": false,
     "start_time": "2020-11-16T18:41:47.414080",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "data['other']=0.0\n",
    "for el in ('Cryptophytes', 'Cyanobacteria', 'Dictyochophytes', 'Dinoflagellates',\n",
    "    'Haptophytes', 'Prasinophytes', 'Raphidophytes'):\n",
    "    data['other']=data['other']+data[el]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "papermill": {
     "duration": 0.527085,
     "end_time": "2020-11-16T18:41:47.983401",
     "exception": false,
     "start_time": "2020-11-16T18:41:47.456316",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 8)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(2,2,figsize=(12,8))\n",
    "ax=ax.flatten()\n",
    "ax[0].plot(data['Diatoms-1']+data['Diatoms-2'],Chl_N*data['mod_diatoms'],'k.')\n",
    "ax[0].set_title('Diatoms (mg Chl/m$^3$)')\n",
    "ax[0].set_xlabel('HPLC')\n",
    "ax[0].set_ylabel('model')\n",
    "ax[0].plot((0,18),(0,18),'r-',alpha=.3)\n",
    "\n",
    "ax[1].plot(data['other'],Chl_N*(data['mod_flagellates']+data['mod_ciliates']),'k.')\n",
    "ax[1].set_title('non-Diatoms (mg Chl/m$^3$)')\n",
    "ax[1].set_xlabel('HPLC')\n",
    "ax[1].set_ylabel('model')\n",
    "ax[1].plot((0,12),(0,12),'r-',alpha=.3)\n",
    "\n",
    "ax[2].plot(data['Diatoms-1']+data['Diatoms-2'],Chl_N*data['mod_diatoms'],'k.')\n",
    "ax[2].set_title('Diatoms (mg Chl/m$^3$)')\n",
    "ax[2].set_xlabel('HPLC')\n",
    "ax[2].set_ylabel('model')\n",
    "ax[2].plot((0,25),(0,25),'r-',alpha=.3)\n",
    "ax[2].set_xlim((0,25))\n",
    "ax[2].set_ylim((0,25))\n",
    "\n",
    "ax[3].plot(data['other'],Chl_N*(data['mod_flagellates']+data['mod_ciliates']),'k.')\n",
    "ax[3].set_title('non-Diatoms (mg Chl/m$^3$)')\n",
    "ax[3].set_xlabel('HPLC')\n",
    "ax[3].set_ylabel('model')\n",
    "ax[3].plot((0,12),(0,12),'r-',alpha=.3)\n",
    "ax[3].set_xlim((0,8))\n",
    "ax[3].set_ylim((0,8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "papermill": {
     "duration": 0.023383,
     "end_time": "2020-11-16T18:41:48.026564",
     "exception": false,
     "start_time": "2020-11-16T18:41:48.003181",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def logt(x):\n",
    "    return np.log10(x+.001)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "papermill": {
     "duration": 0.247996,
     "end_time": "2020-11-16T18:41:48.293901",
     "exception": false,
     "start_time": "2020-11-16T18:41:48.045905",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-3.1, 2)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,2,figsize=(12,5))\n",
    "ax[0].plot(logt(data['Diatoms-1']+data['Diatoms-2']),logt(Chl_N*data['mod_diatoms']),'k.')\n",
    "ax[0].set_title('log10[ Diatoms (mg Chl/m$^3$) + 0.001]',fontsize=18)\n",
    "ax[0].set_xlabel('HPLC',fontsize=18)\n",
    "ax[0].set_ylabel('model',fontsize=18)\n",
    "ax[0].set_xlim(-3.1,2)\n",
    "ax[0].set_ylim(-3.1,2)\n",
    "ax[0].plot((-6,3),(-6,3),'r-',alpha=.3)\n",
    "\n",
    "ax[1].plot(logt(data['other']),logt(Chl_N*(data['mod_flagellates']+data['mod_ciliates'])),'k.')\n",
    "ax[1].set_title('log10[ non-Diatoms (mg Chl/m$^3$) + 0.001]',fontsize=18)\n",
    "ax[1].set_xlabel('HPLC',fontsize=18)\n",
    "ax[1].set_ylabel('model',fontsize=18)\n",
    "ax[1].plot((-6,3),(-6,3),'r-',alpha=.3)\n",
    "ax[1].set_xlim(-3.1,2)\n",
    "ax[1].set_ylim(-3.1,2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "papermill": {
     "duration": 0.154926,
     "end_time": "2020-11-16T18:41:48.470824",
     "exception": false,
     "start_time": "2020-11-16T18:41:48.315898",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fe866ef1970>]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(data['TchlA (ug/L)'],Chl_N*(data['mod_flagellates']+data['mod_ciliates']+data['mod_diatoms']),'k.')\n",
    "plt.title('Total Chlorophyll (ug/L)')\n",
    "plt.xlabel('HPLC')\n",
    "plt.ylabel('model')\n",
    "plt.plot((0,20),(0,20),'r-',alpha=.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "papermill": {
     "duration": 0.121232,
     "end_time": "2020-11-16T18:41:48.613466",
     "exception": false,
     "start_time": "2020-11-16T18:41:48.492234",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAVoAAAFNCAYAAABBgqdVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjMsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+AADFEAAAgAElEQVR4nO3deXxcZ33v8c/Psi3vdrzHW7zEiWM78SYvcrhgGmhDym3gXsqFAgmU1sCFW9pe2iYsDUtJ6N7ySmmalpSY0qTchkBaTIEmuCm1nMR7vG/xKu+WbcmWZUnzu388R2Qsj6SZ0cycWb7v10svSzNH5/x0LH3nmec853nM3RERkfzpE3cBIiLlTkErIpJnCloRkTxT0IqI5JmCVkQkzxS0IiJ5pqBNg5kdNLO3xFzD582s1cyazGxwnLVE9Zwwszdk+b13m9m+bp5/2sw+m3112TGzWWbWluX3ftTM/j36fICZuZlN6mb7T5rZV7KtNRtmtsTM1hTymIVmZn9oZpey/X/MFwVtAZnZm83sJ2Z2wcwOpnh+avT8ZTPblSLc/8ndh7j7pRTfuz0K4SYzazezK0lff7qHurIOmG72udzMfhT9rGfNbJ2ZvS+XxyhVZjYQ+D3gz3K4z2lmdiD6POWLoLu/DCTM7K25Om7S8ceY2b9EIfeamb2rh+0fMLOT0e/H35hZv3T2ZWaDzewZMzsUvZgt6/Qz/h6wKNc/X28paAvrEvAE8DtdPP8UsAkYBXwG+GczG5POjt19ThTCQ4D/BD7R8bW7P5yD2tNmZiuAHwH/BkwDRgO/Afxino/bN5/7z6F3ARvc/VQO9/mLwOo0tvsW8JF0dhi10h9L8/iPAw3AWODDwBNmNrOL/d5L+H14IzAduJ3w+57Ovhz4D+BXom1KgoI2Q2ZWbWZ/YWb10cdfmFl10vO/a2bHo+d+LXrVvRlCi8LdvwkcSLHfW4CFwEPu3uzuzwCvAv8zR3VXmdkXzOxw1JJ4wsyGRk+/CFQltYAXRK3cNWZ2zsxOm9mTSdv35E+Av3H3P3P3cx687O6/0qmmT0f7PtZda9fMPm5m+6OW8XfMbFz0eMdb9I+Z2X5gW/T4m8xsY9RaWmdmi5P2tc7MvmRmG6LnnzGz4Z2O9yEzOxrV9jvRY1OiFtawpO3ujP6fM/07ehshLDr2c11XSnKr1MyGmNk/mtl5M9tmZg923h64h/SCdg3wC2ZWlWHNXTKzG4D/DnzO3S+5+wvAD4Gu/k/vBx5z993ufhb4MvDBdPbl7pfd/avu/l9AIlc/Q74paDP3GWAZMB+YBywBPgvhDwb4beAtwM3AmzLY7xzggLs3Jj22JXo8Fz4CvBv4b8BMQmuh463rG4H2pBbwpujxLwLjCS2OW7m21ZGSmY0gvHX75x42vQkwYALwCeAxMxuSYn/3AJ8D3glMBM4A/9Bps7dHx1xgZmOBfwG+Qnhn8BiwulOY3kf4w50I9Af+NOm5KqCG8P93D/BlM5vu7oeBl7j2he/9wLfcPdM/+NuB3Rls/wfAGMI5+0XgA8lPRl0RS4Gf9LQjd98PVAMzMjh+T2YBje5+KOmx7n5350TPJ297U/T/n+m+SoKCNnPvA77o7qfc/TTwBV7/xX838Pfuvt3dL0fPpWsIcKHTYxeAdFuRPXkf8MfufsjdLxJC831mZqk2dvdd7v6Cu1919xPAX5DeC8eo6N/jPWx3GXjE3Vvd/VnCW8Kbu6j7cXff6u5XgN8F7jKz8UnbfNndz7t7M3AvsNndv+3ube7+DeAooRXZ4e+jn68JeAh4b6djPuTuV9z9FWAXcEf0+JOEcMXM+hP+v7/Zw8+ZygigscetXvdu4A/c/UIUQF/r9PzPAeuinz8djVENuZLp727n7S8kPZ7vv4NYKGgzNwFIfrU9FD3W8dyRpOeSP+9JEzCs02PDyOwPsjup6h4IjEy1sZlNMLP/F72tvwj8HaGvtSdno39v7GG7051agpcJf2Td1u3u54GLhNZohyNdbR851M32h4BBSS3ednc/00VdzwCLzWwiobV71N23pqi5Jw2kGRzRC+E4uv+9SrfboMNQ4HwXx/t61EVxnvCO50MdX5vZy13sL9Pf3c7bD0t6PN9/B7FQ0GaunvAWrsOU6DEIrbjkIT2TM9jvdmB6p37QedHjuZCq7mbgHKE12dkfEy7ezXX3YcCvEd7qdysKwg3kqG+ZTnVHgTgMOJZ82K62j0zptP3kTs9ddvfOrajrRC3gZwkXYj5Adq1ZgK3ALUlfXwIGdXwRXYEfGR3TgVN0/3v1NtIMWjObAbSQ4jpBdLwPu/sIdx9B6Ab7+46v3X1JF7vdBQwzsylJj3X3u7s9ej5520PR+c10XyVBQZu5p4DPWhiCMhr4fV7vM/w2oQVwm5kNip77GTPrY2YDgH7hSxsQvQXF3fcAm4GHosffSXjL+kwO6/5UdFFnKKHf7x+T/pCrOv1yDyW0Li5Gj/92Bsf6FPBRM/tNMxtpwSIz69y3mm7dv25mc6Nz94fAC1F3RirPEfpq32Vmfc3sPkKY/lvSNh80s1uiPsHPA/+UQT2rCC86dxOu4GdjNdd2w+wERprZXVHIfoFr/za/DXzGzIZH/xcf63jCzGYDV9z9tU7H6B/9HnV8dFz8ehPwY3fP2XA+d28A/hX4opkNsjDqpLvzswr4SPR/MAr4NPCNdPdl4YL0gOSfM1c/S74oaDP3B8B6QqvkVWBj9Bju/gPgq4SLEvuAuuh7WqJ/30hoRa7m9Rblj5L2/R7ChZgGwsWcd0X9wLnw18B3gLXAfkJL9rejuhuAPwI2RG8R5xNeJN5A6B97lgwC393XAD9PeEt7kHAB61Hg+5kW7e7/CjxCCNB6wsW5D3Sz/Unglwh90GcJF9reHrW0O3yTEODHCFeu/28GJf2E0OXyU3fvqR+6K98BFlk0dC/qqvgkIUyOAicI56zDZwm/E4eAHxCCt+N3qqtug+cJv18dHw9Gj7+PcIEw136d0LV0hhCaH3b3vRBG1FgYzTIWwN2/S/h9+CmhZb2DMPKgx31FDkU/0yjC6I3mTn32Rcc08Xf+mNlthCFH1b1tQVi4U+pBoBWYmOqmBemZma0DHnX3bFrXHftYC3ytl/v4DWCCuz+Qxff+FnC3u/+Cmb1AuFD2QhrfVwP8qbtnMhqmpJjZI8D/BqqiMeVFQUGbY9Fb/u8DgwlXqRPu/o54q5IOvQ1aM7sT+B4wOYOr/L1iZpMJF/NeBm4j/H59xd0fM7MHgT9x99ZC1CLZia3rwMwmW7jddKeF20c/mWIbM7Ovmtk+M9tqZgvjqDVDHwFOE96et5PUnyalzcyeJvQf/kahQjZSTbijsJEweP9pwigQ3P0RhWzxi61Fa2Y3Aje6+8bo4swG4B3uviNpm3uA/0Poh1oK/KW7L42lYBGRLMXWonX34+6+Mfq8kXDldWKnze4FVkW3cK4DRkQBLSJSMopi1IGZTQUWEG5xTDaRawdnH+X6MBYRKWqxz3YUjWV8BvjN6NbQa55O8S0p+zrMbCWwEmDw4MGLZs2aldM6RaRCJRLQ1ATAhr17z7h7WjPqJYs1aKPB2c8QJub4TopNjnLtXTCTeP0urGu4++OE6dWoqanx9evX57haEak4TU1QVxfCtrYWGz688+3daYlz1IEBXwd2untXEyA/B9wXjT5YBlzoxSBxEZH0NTbC2rXgDsuXw7DOUzCkL84W7Z2EO3xeNbPN0WOfJtwxhbs/Rrjj5R7CXVaXgQ/FUKeIVJqLF0NLtk8fqK2FIb279yG2oHX3n9LDJCXRffgfL0xFIiLAhQshZKuqQkt2cO+X6Iv9YpiISNFoaICXXoK+fUPIDhrU8/ekQUErIgJw7lwI2erq0F0wcGDOdq2gFRE5ezaE7IABoSU7ILczLypoRaSynT4Nr7wSuglqa0OLNscUtCJSuU6dCiE7ZEgI2f7983IYBa2IVKYTJ2DDBhg6FJYty1vIgoJWRCpRfT1s3AgjRsDSpdCvX14Pp6AVkcpy7Bhs2gQ33BBCtm/+Y1BBKyKV48gR2LwZRo2CJUsKErKgoBWRSnH4MGzZAmPGwOLF4c6vAlHQikj5O3gQXn0Vxo4NIdunsPNpKWhFpLwdOADbt8P48bBoUcFDFhS0IlLO9u6FXbvgxhth4cJYQhYUtCJSrvbsgd27YeJEWLAArNvJAvNKQSsi5WfXrtCanTwZ5s2LNWRBQSsi5WbHDti/H266CW6/PfaQBQWtiJSTbdvgtddg2jSYOzfuan5GQSsipc89DN86dAimT4c5c+Ku6BoKWhEpbe7hRoQjR2DmTJg1K+6KrqOgFZHS5R7mLTh2DG69FW65Je6KUlLQikhpSiRCyNbXh1bszJlxV9QlBa2IlJ5EIswle+IEzJ4NM2bEXVG3FLQiUloSCVi/Hk6eDCMLpk2Lu6IeKWhFpHS0t4elZ06fhjvuCGNlS4CCVkRKQ3s7vPwynDkD8+eHu75KhIJWRIpfW1tYDryhIUwOM3Fi3BVlREErIsWttTWE7PnzIWQnTIi7oowpaEWkeLW2Ql0dNDZCTU2YU7YEKWhFpDhdvRpCtqkphOy4cXFXlDUFrYgUn5aWELKXLoVFFMeMibuiXlHQikhxuXIlhGxzc1gOfPTouCvqNQWtiBSP5uYQsi0tsGwZjBwZd0U5oaAVkeJw+XII2dbWELI33BB3RTmjoBWR+F26FEK2rQ1qa2H48LgryikFrYjEq6kphGwiAcuXw7BhcVeUcwpaEYlPY2MIWQghO3RovPXkSTyLnEfM7AkzO2Vm27p4foWZXTCzzdHH7xe6RhHJk4sXYe3asHhiGYcsxN+i/QbwKLCqm23+093fXphyRKQgzp+Hdeugb9/QJzt4cNwV5VWsLVp3fxE4F2cNIlJgDQ2hu6Bfv9CSLfOQhZiDNk21ZrbFzH5gZsW1tKWIZObcudCSra4OITtoUNwVFUTcXQc92Qjc5O5NZnYP8F0g5cJAZrYSWAkwZcqUwlUoIuk5cybMJztwYOguGDAg7ooKpqhbtO5+0d2bos9XA/3MLOX9eO7+uLvXuHvNmBK/L1qk7Jw+HaY6HDQotGQrKGShyIPWzMabmUWfLyHUezbeqkQkIydPhpbskCEhZKur466o4GLtOjCzp4AVwGgzOwo8BPQDcPfHgHcBHzOzNqAZeI+7e0zlikimTpwIq9UOHRq6C/r1i7uiWMQatO7+3h6ef5Qw/EtESk19PWzcCCNGhFm4KjRkofgvholIKTp6FDZvDhPDLF0axstWsMr+6UUk944cCSE7enSYtLuqKu6KYqegFZHcOXQItm4NKyIsXqyQjShoRSQ3XnsNtm0La3vV1ECfoh7UVFAKWhHpvf37YceOsErtokUK2U4UtCLSO3v3wq5dMGECLFigkE1BQSsi2du9G/bsgUmTYP78MOWhXEdBKyLZ2bkT9u2DyZNh3jyFbDcUtCKSue3b4cABuOkmuP12hWwPFLQikj73MLLg4EGYNg3mzo27opKgXmsRSY97GCN78CDMmJEyZOvq6njkkUeo61gHTAC1aEUkHe6wZUu462vmTJg167pN6urquOuuu7h69Sr9+/fn+eefp7a2NoZii49atCLSPXfYtCmE7K23pgxZgDVr1nD16lXa29u5evUqa9asKWydRUwtWhHpWiIRZuA6fhxuuw1uvrnLTVesWEH//v1/1qJdsWJF4eoscgpaEUktkQhzyZ44AXPmwPTp3W5eW1vL888/z5o1a1ixYoW6DZIoaEXkeokEvPIKnDoVhm9NnZrWt9XW1ipgU1DQisi12ttDyJ4+HW5E0GKnvaagFZHXtbWF9b3Ong231E6eHHdFZUFBKyJBW1tYqbahARYuhIkT466obChoRQRaW0PInj8fpjm88ca4KyorClqRSnf1KqxbB42NYcLu8ePjrqjsKGhFKllLSwjZpqaw9MzYsXFXVJYUtCKVqqUF6urg8uWwiOKYMXFXVLYUtCKV6MoVWLs2/Lt0KYwaFXdFZU1BK1JpmptDS7alBZYtg5Ej466o7CloRSrJ5cuhJdvWFkL2hhvirqgiKGhFKsWlSyFk29uhthaGD4+7ooqhoBWpBE1NobsgkYDly2HYsLgrqigKWpFy19gYQhZCyA4dGm89FUhBK1LOLlwI42T79AndBUOGxF1RRdIKCxVOazyVsfPnQ0u2qiq0ZBWysVGLtoJpjacy1tAQWrL9+4eW7KBBcVdU0dSirWBa4yl9JdXyP3s2hGx1dWjJKmRjpxZtBdMaT+kpqZb/mTNhPtmBA0NLdsCAuCsSFLQVTWs8pSdVy78oz9Xp0yFkBw8OIVtdHXdFElHQVjit8dSzkmj5nzwJ69eHC161taFvVoqGglakB0Xf8j9+PKxWO3x4uK22X7+4K5JOYg1aM3sCeDtwyt3npnjegL8E7gEuAx90942FrVKkiFv+9fWwcSOMGBFm4VLIFqW4Rx18A7i7m+ffBsyMPlYCf12AmkRKw9GjIWRHjlRLtsjFGrTu/iJwrptN7gVWebAOGGFmWsxI5PBh2LQpzCO7dCn0VS9gMYu7RduTicCRpK+PRo+JVK6DB2HLlrAiwpIl4c4vKWrFHrSW4jFPuaHZSjNbb2brT58+neeyRGJy4AC8+iqMG6eQLSHFHrRHgclJX08C6lNt6O6Pu3uNu9eM0dpHUo7274ft28NS4DU1YaIYKQnF/j/1HHCfBcuAC+5+PO6iRApu717YsQMmToSFCxWyJSbu4V1PASuA0WZ2FHgI6Afg7o8BqwlDu/YRhnd9KJ5KRWK0ezfs2QOTJsH8+WCpetSkmMUatO7+3h6ed+DjBSpHcqCurq5oBvYXUy1Z27kT9u2DKVPgjjsUsiVKY0IkZ+KafCVVoJbURDBd2b49XPyaOhXmzs0qZLt7sSmLF6ISoaCVnMlk8pVc/ZF3FaglMxFMKu6wbVsYxjV9OsyZk9VuunuxKYsXohKiHnXJmY7JV6qqqrqdfKXjj/xzn/scd911V6/meO1qTt10ayk67rB1awjZGTOyDlnofr5hzUVcWGrRSs6kO/lKLlubXc2sVfQTwaTiDps3h1trZ86EWbN6tbvuZh0riRnJyoiF603lpaamxtevXx93GdKFjhZtS0sLVVVVPProo6xcubJX+yupQE3FPdxSe+wY3Hor3HJLTnarPtrcMrMN7l6T8fcpaCUOjz/+OB//+MdJJBJUV1dXdh9hIhEmhzl+HG67DW6+Oe6KpAvZBq36aCUWZ8+exd1JJBJl1UeY8dpiiUSYsPv48dAfq5AtS+qjlViUYx9hxlfy29tDyJ46BbffHoZx9eLY6gYoXgpaKajkQCi5i1U9yOgiX3t7WN/rzBmYNy/ckJAlDdUqfgpaKZhUgfDggw/GXVbOpN1Kb2sLIXvuHCxYEG6t7YWSHjNcIRS0UjDlHghpDSlrbQ0h29AQQnZi76dXLsdumHKjoJWCqYRA6HZtsdZWWLcOLlyARYvCdIc5Oma5dcOUGw3vkoKq2Is2V6+GkG1sDHPJjhsXd0WShWyHd6lFKwVVtKvJ5lNLSwjZpiZYvBjGjo27IikwBa1IPl25AnV10NwcFlEcPTruiiQGClqRfLlyBdauDf8uXRpWrJWKpKAVyYfm5hCyV6/CsmUwcmTcFUmMFLQiuXb5cgjZtjaorYURI+KuSGKmoBXJpUuXQsi2t4eQHT487oqkCChoRXKlsTFc+HKH5cth2LC4K5Iiodm7RHLh4sXQkoVuQzbj2b2yVKjjSHrUohXprQsXQku2qiqE7ODBKTcr1OQvmmSm+KhFK9Ib58+HkO3bt9uQhcKt06X1wIqPglakCz2+/T53LoRsv35w553dhiwUbsHIkl2Ysoyp66BCFHKOgWKczyDTmnp8+332LLz0EgwYEFqyAwb0uM9CTf6iSWaKkLuX3ceiRYtcXrd27VofOHCgV1VV+cCBA33t2rVlcax81vTwww97VVWVA15VVeUPP/zw60+eOuX+/e+7v/CCe3NzHiuXYgOs9ywySV0HFaCQfXbF2D+YTU1dvv0+dSrMJzt4cNotWZFuuw7MrNv7Bt39XG7LkXwo5DywxTjnbDY1pXz7ffJkWONr6NBwW23//vkvXspCt/PRmtlrgAOW4ml39+n5Kqw3NB/t9TLpo+xtH2s59NFe5/hx2LAh3Om1bFm4AFboGiR22c5Hq4m/5Roag5nCsWOwaRPccEOYhatv5teQdV7LQ7ZBm1YfrQXvN7PPRV9PMbMlmR5Mil8x9rHG6siRELIjR14TspneeaXzWtnSfWn+GpAAfg74EtAIPAMszlNdEpNi7GONzeHDsGVLmKx7yZJw5xfZtU7jOK8dXRWjRo3i7Nmz6rKIUbpBu9TdF5rZJgB3bzAzXQkoQxqDGTl4EF59NSw7U1Pzs5CF7FbzLfR57XgxaGlpIZFI0KdPH6qrq9VlEZN0g7bVzKoIF8YwszGEFq6UoYpc1yvZgQOwfTuMHx9Wq+1zbQ9btq3TQp7XjheDRCL8mSYSiWu6LCr+hbTA0g3arwLPAmPN7MvAu4DP5q0qkbjs2wc7d4alwBcuvC5koTRa/R0vBskt2v79+zNq1ChdlItBWkHr7t8ysw3AXYShXu9w9515rUyk0Pbsgd27YeJEWLAALNWoxqDYW/3JLwbJfbTZdHtI72Vyw8Ip4Knk53p7w4KZ3Q38JVAF/J27f6XT8yuA7wGvRQ99x92/2JtjiqS0axfs3QuTJsH8+d2GbKno6sVAFzsLr6cW7QZev2FhCtAQfT4COAxMy/bAUZ/vXwFvBY4Cr5jZc+6+o9Om/+nub8/2OCI92rED9u+HKVPgjjvKImS7UgrdHuWo26B192kAZvYY8Jy7r46+fhvwll4eewmwz90PRPt8GrgX6By0kqVc3olUtnc1bd8eLn5NnQpz55Z1yHYo9m6PcpTuxbDF7v7Rji/c/Qdm9qVeHnsicCTp66PA0hTb1ZrZFqAe+JS7b+/lcStCLu9EKta7mnoV/u5h+NahQzB9OsyZk58iY6RxtMUj3aA9Y2afBf6B0JXwfuBsL4+dcv6ETl9vBG5y9yYzuwf4LjAz5c7MVgIrAaZMmdLL0kpfLi96ZLOvfLeAexX+7rB1a7gh4eab4bbbsjp+MbfwNY62uKQbtO8FHiIM8QJ4MXqsN44Ck5O+nkRotf6Mu19M+ny1mX3NzEa7+5nOO3P3x4HHIcx10MvaSl4u70RKZ1/JwQPkvQWc9QuJO2zeDEePwi23wK23ZnzsXLTw8x3U3Y2jVdAWXrrDu84BnzSzYUDC3ZtycOxXgJlmNg04BrwH+JXkDcxsPHDS3T2aW6EPvW9JV4TeXvToHATd7atz8Nx///15H0KU1QtJIhHmLaivh1mzYGbKN0c96u27hUJ0xXQ1jlajDOKRVtCa2e3AKmBk9PUZ4H5335btgd29zcw+AfyQMLzrCXffbmYfjZ5/jHBjxMfMrA1oBt7j5TjdWJ5ke9GjqyDoal+dgwcyH0KUaQsv4xeSRCJMc3jiBMyeDTNm9HiMrvT23UIhxrJ2NY5WrdmYpLMMA7AWeHPS1yuAtdks6VCIj0pYymbt2rX+8MMP52WpmG6Xcemils5LxWRSX96Xv2lvd3/pJffnnnPfvz8nu+z88xXVzyt5Q5ZL2aQbtFvSeaxYPso9aPP9h5rN/nsT/JkEe8bHaWtzr6sLIXvwYMa1paPQ50vik23Qpnsx7EA0F+03o6/fz+t3a0mB5futZzb9u70Zm5nuW/GM+zbb28P6XmfOwLx54YaEPMh2Ni+9ja8c6QbtrwJfIMxBa4RRBx/MU03Sg0LMbVrIIEg32DsH2qpVq7r+nra2sBx4Q0OYt2DSpLzVrzl8pSdpLWVjZjXAZ4CpvB7O7u535K+07FXCUjbZDg8q9vGf3Ulu0fbt2xd3p729/frWbWtrCNnz58MMXBMmFKS2Uj2vkr68rhlmZruBTwHbSJqH1t0PZXrAQqiEoM1Gsd7hlYmOQDt8+DB/+7d/S3t7O1VVVXzpS1/iwQcfDCG7bh1cvBhC9sYb4y5Zyki2QZtu18Fpd/+XTHcuxaUcpsjr6NKoq6vjySefvPbt+tWrUFcHTU1hVYRx4+IuVwRIP2gfMrO/A54HWjoedPfv5KUqyYt89SWm+7Y5l2+vr+vXXbgQ1q6FS5fC+l5jxvRq/yK5lG7XwT8As4DtvN514O7+q3msLWuV2HUQR9h17C+d7oi8dltcuRJass3NIWRHj87NfkU6yXfXwTx3vz3TnUthZBJiuR5NkG53RN66LZqbQ8i2tMCyZWFZcJEic/2CSKmtM7PZea1EspYqxHKlrq6ORx55hLq6upTPd3RHVFVVddsdke52Gbl8OXQXKGSlyKXbon0DcL+ZvUboozWKeHhXpcln32tPLeV0x8DmfGb/S5dCS7atDWprYcSI3u0vDRrCJdlKN2jvzmsV0iv5Wp5k1apVXLlyBXfv9u1+ut0ROeu2aGoKIZtIwPLlMGxY7/fZg3IYGifxSXeaxKIcLyuvy3Xfa11dHU888UTHvBb07du3OO54amwMIQshZIcOLchh8z00Tq3l8pZui1YqzJo1a2hvbwfAzPjQhz4UfwBcvMiOr3+dLa++yvT3vY+lBQpZyO9ttmotlz8FraTUOVjuu+++eAu6cIGdTzzB7z7wAC+2tdH29NMFDaSO7plVq1blfN/lcCOJdE9BKykV1bLUDQ3w0kts3raN/2hroymRoCqmQOq4G+3JJ5/MWdBrUpryp6CVLhXFVH7nzoUJYqqrmf6BD9D+1FNUxRRI+Wp5FtWLmuSFglaK19mzIWQHDIDly1k6YECsgZTLlmfni189vajpYllpS+sW3FJTibfgFkJB/9hPn4ZXXoFBg8I42erq/B4vTbk4B5le/NLFsuKR71twpcIV9I/91KkQskOGhJDt3z8/x8lCLrpTMu2C0MWy0pfuLbhS4fJ5m+81TpwIITt0aNGFbK5kejtyXm5floJSi1bSUpAr4/X1sHFjuJ126VLo1y/3xygCmV780sWy0qc+WklbXvtojx2DTZvghhtCyPZVG0CKj/poJe/yNtzryBHYvBlGjWg2rKkAAA+6SURBVArzySpkpczoN1ridfgwbNkSVkRYvBiqquKuSCTnFLQSn4MH4dVXYezYELJ9dG1WypOCVuJx4ABs3w7jx8OiRQpZKWsKWim8fftg586wFPjChQpZKXv6DZe09LSkTdr27AkhO3GiWrJSMdSilR7l7K6wXbtg716YPBnmzQOz3BcrUoTUnJAe5eSusB07QshOmaKQlYqjoJUe9foW0G3bYP9+mDoV7rhDISsVR10H0qOsbwF1D8O3Dh2C6dNhzpz8FipSpBS0kpaM7wpzDzciHDkCM2fCrFn5K06kyCloJffcw7wFx47BrbfCLbfEXZFIrBS0kluJRAjZ+vrQip05M+6KRGIX68UwM7vbzHab2T4zeyDF82ZmX42e32pmC+OoU9KUSMCGDSFkZ89WyIpEYgtaM6sC/gp4GzAbeK+Zze602duAmdHHSuCvC1qkpC+RgPXrw8Tdc+fCjBlxVyRSNOJs0S4B9rn7AXe/CjwN3Ntpm3uBVR6sA0aY2Y2FLlR60N4OL78MJ0+G4VvTpsVdkUhRiTNoJwJHkr4+Gj2W6TYSp46QPX0a5s+Hm26KuyKRohNn0KYatd55uYd0tgkbmq00s/Vmtv706dO9Lk7S0NYG69aFZcEXLAi31orIdeIM2qNA8l/mJKA+i20AcPfH3b3G3WvGjBmT00IlhdbWELINDWEGrkmT4q5IpGjFGbSvADPNbJqZ9QfeAzzXaZvngPui0QfLgAvufrzQhUonra1QVwcXLkBNDUyYEHdFIkUttnG07t5mZp8AfghUAU+4+3Yz+2j0/GPAauAeYB9wGfhQXPVK5OrVELJNTSFkx42LuyKRohfrDQvuvpoQpsmPPZb0uQMfL3Rd0oWWlhCyly6FRRTVRSOSFt0ZJum5ciWEbHNzWA589Oi4KxIpGZomUXrW3Axr14awXbasbEI2Z6tGiPRALVrp3uXLoSXb2hpC9oYb4q4oJ3K2aoRIGtSila5duhRasq2tUFtbNiELOVo1QiRNClpJrakphGx7OyxfDsOHx11RTvV61QiRDKjrQK7X2Bi6CyCE7NCh8daTB1mvGiGSBQWtXOvixRCyffqE7oIhQ+KuKG8yXjVCJEsKWnnd+fPhttq+fUPIDh4cd0UiZUFBK0FDQwjZ/v1DyA4aFHdFImVDQStw7hy89BJUV4eQHTgw7opEyoqCttKdORPmkx04MITsgAFxVyRSdhS0lez06RCygweHkK2ujrsikbKkoK1UJ0+GNb6GDAkh279/3BWJlC0FbSU6cSKsVjt0aAjZfv3irkikrCloK019PWzcCCNGhFm4FLIieaegrSTHjsGmTWHOgqVLw3hZEck7/aVViiNHYPPmMMXhkiVQVRV3RSIVQ0FbCQ4dgq1bw4oIixcrZEUKTEFb7l57DbZtC2t71dSEOQxEpKAUtOVs/37YsQPGj4dFixSyIjFR0JarvXth166wFPiCBQpZkRgpaMvR7t2wZw9MmgTz54NZ3BWJVDQFbbnZuRP27YPJk2HePIWsSBFQ0JaT7dvhwAG46Sa4/XaFrEiRUNCWA/cQsq+9BtOmwdy5cVckIkkUtKXOPYyRPXwYZsyA2bPjrkhEOlHQljJ32LIl3PU1cybMmhV3RSKSgoK2VLmHeQuOHYNbb4Vbbom7IhHpgoK2FCUSIWTr6+G22+Dmm+OuSES6oaAtNYlEmEv2xAmYMwemT4+7IhHpgYK2lCQS8MorcOpUGL41dWrcFYlIGhS0paK9PYTs6dPhRoQpU+KuSETSpKAtBW1tYRHFs2fDLbWTJ8ddkYhkQEFb7Nra4KWXoKEBFi6EiRPjrkhEMqSgLWatrSFkz58P0xzeeGPcFYlIFhS0xerqVVi3Dhobw4Td48fHXZGIZElBW4xaWkLINjWFpWfGjo27IhHphViC1sxGAv8ETAUOAu9294YU2x0EGoF2oM3dawpXZUxaWqCuDi5fDosojhkTd0Ui0ktxTbv/APC8u88Eno++7sqb3X1+RYTslSvwX/8VQnbpUoWsSJmIK2jvBZ6MPn8SeEdMdRSP5mZYuza0aJctg1Gj4q5IRHIkrqAd5+7HAaJ/u+qEdOBHZrbBzFYWrLpCu3w5tGSvXg0hO3Jk3BWJSA7lrY/WzP4dSHWp/DMZ7OZOd683s7HAj81sl7u/2MXxVgIrAaaU0l1Tly6Flmx7O9TWwvDhcVckIjmWt6B197d09ZyZnTSzG939uJndCJzqYh/10b+nzOxZYAmQMmjd/XHgcYCamhrvbf0F0dQULnwlErB8OQwbFndFIpIHcXUdPAfcH31+P/C9zhuY2WAzG9rxOfDzwLaCVZhvjY2hJeuukBUpc3EF7VeAt5rZXuCt0deY2QQzWx1tMw74qZltAV4Gvu/u/xZLtbl24UIIWbMQskOHxl2RiORRLONo3f0scFeKx+uBe6LPDwDzClxa/p0/H25G6Ns39MkOHhx3RSKSZ7ozrJAaGkLI9u8fQnbQoLgrEpECUNAWytmzYarD6uoQsgMHxl2RiBSIgrYQzpwJITtwYAjZAQPirkhECkhBm2+nT4eQHTw4hGx1ddwViUiBKWjz6eRJWL8ehgwJIdu/f9wViUgMFLT5cuJEWK122LBwW22/fnFXJCIxUdDmQ309bNwII0aEWbgUsiIVTUGba0ePwubNYWKYJUvCeFkRqWhKgVw6fBi2bIHRo0PIVlXFXZGIFAEFba4cOgRbt4bJuhcvVsiKyM8oaHPhtddg2zYYNy4spNgnrikkRKQYKWh7a/9+2LEjLAW+cKFCVkSuo6Dtjb17YdcumDABFixQyIpISgrabO3eDXv2wKRJMH9+mPJQRCQFBW02du6EfftgyhS44w6FrIh0S0Gbqe3b4cABmDoV5s5VyIpIjxS06XIPIwsOHoTp02HOnLgrEpESoaBNh3sYI3v4MMyYAbNnx12RiJQQBW1P3MMttUePwsyZMGtW3BWJSIlR0HbHHTZtgmPH4NZb4ZZb4q5IREqQgrYriUSYgev4cbjtNrj55rgrEpESpaBNJZEIE3afPBkuek2fHndFIlLCFLSdtbeHkD11Cm6/PQzjEhHpBQVtsvZ2eOWVsM7XvHnhhgQRkV5S0HZoawuLKJ47F+YtmDQp7opEpEwoaAFaW0PINjSEkJ04Me6KRKSMKGhbW2HdOrhwARYtCtMdiojkUGUH7dWrIWQbG8OE3ePHx12RiJShyg3alpYQsk1NYemZsWPjrkhEylRlBu2VK1BXB83NYTnw0aPjrkhEyljlBe2VK7B2bfh36VIYNSruikSkzFVW0DY3h5C9ehWWLYORI+OuSEQqQOUE7eXLIWTb2qC2FkaMiLsiEakQlRG0ly6FkG1vDyE7fHjcFYlIBSn/oG1sDBe+3GH5chg2LO6KRKTClHfQXrwYQtYshOzQoXFXJCIVqE8cBzWzXzaz7WaWMLOabra728x2m9k+M3sgo4NcuBC6C/r0gTvvVMiKSGxiCVpgG/A/gBe72sDMqoC/At4GzAbea2bpLdbV3h5asn37hpbs4ME5KFlEJDuxdB24+04A636p7iXAPnc/EG37NHAvsKPHAzQ1Qb9+IWQHDux9wSIivRBXizYdE4EjSV8fjR7rWUd3gUJWRIpA3lq0ZvbvQKpZWj7j7t9LZxcpHvNujrcSWBl92WIDB25L4xjFZjRwJu4islSqtZdq3VC6tZdq3QC3ZvNNeQtad39LL3dxFJic9PUkoL6b4z0OPA5gZuvdvcuLbMWqVOuG0q29VOuG0q29VOuGUHs231fMXQevADPNbJqZ9QfeAzwXc00iIhmLa3jXO83sKFALfN/Mfhg9PsHMVgO4exvwCeCHwE7g2+6+PY56RUR6I65RB88Cz6Z4vB64J+nr1cDqLA7xePbVxapU64bSrb1U64bSrb1U64Ysazf3Lq8viYhIDhRzH62ISFko+aAtyO28eWJmI83sx2a2N/r3hi62O2hmr5rZ5myveuZCT+fQgq9Gz281s4Vx1JlKGrWvMLML0TnebGa/H0ednZnZE2Z2ysxSDlcs1nOeRt3Fer4nm9lPzGxnlCufTLFN5ufc3Uv6A7iNMLZtDVDTxTZVwH5gOtAf2ALMLoLa/wh4IPr8AeAPu9juIDA65lp7PIeE/vUfEMZALwNeivscZ1D7CuBf4641Re1vBBYC27p4vljPeU91F+v5vhFYGH0+FNiTi9/zkm/RuvtOd9/dw2Y/u53X3a8CHbfzxu1e4Mno8yeBd8RYS0/SOYf3Aqs8WAeMMLNiWL+9WP//e+TuLwLnutmkKM95GnUXJXc/7u4bo88bCSOeOt+RmvE5L/mgTVP2t/Pm1zh3Pw7hPxjoaileB35kZhuiO+DikM45LNbznG5dtWa2xcx+YGZzClNarxXrOU9HUZ9vM5sKLABe6vRUxue8JOajLfTtvLnUXe0Z7OZOd683s7HAj81sV9RiKKR0zmFs57kH6dS1EbjJ3ZvM7B7gu8DMvFfWe8V6zntS1OfbzIYAzwC/6e4XOz+d4lu6PeclEbRe4Nt5c6m72s3spJnd6O7Ho7cep7rYR3307ykze5bwVrjQQZvOOYztPPegx7qS/5jcfbWZfc3MRrt7sd+TX6znvFvFfL7NrB8hZL/l7t9JsUnG57xSug6K9Xbe54D7o8/vB65rnZvZYDMb2vE58POE+XwLLZ1z+BxwX3RVdhlwoaNrJGY91m5m483CvJ1mtoTwt3G24JVmrljPebeK9XxHNX0d2Onuf9bFZpmf87iv8uXgKuE7Ca8wLcBJ4IfR4xOA1Z2uFO4hXH3+TNx1RzWNAp4H9kb/juxcO+FK+ZboY3uctac6h8BHgY9Gnxthsvb9wKt0MQqkSGv/RHR+twDrgOVx1xzV9RRwHGiNfs8/XArnPI26i/V8v4HQDbAV2Bx93NPbc647w0RE8qxSug5ERGKjoBURyTMFrYhIniloRUTyTEErIpJnClopK2bW1OnrD5rZo9HnnzezY9FsUdvM7JeSHv9Uin2NN7OnzWy/me0ws9VmdkthfhIpJwpaqTR/7u7zgV8GnjCzlH8D0cD1Z4E17j7D3WcDnwbGFa5UKRclcQuuSK65+04zayMsfZ3Km4FWd38s6Xs2F6Q4KTsKWik3A80sORBHkuJ2azNbCiSA013sZy6wIfflSSVS0Eq5aY66BoDQRwskr7zxW2b2fqAR+F/u7tEt9yJ5o6CVSvPn7v4naWy3HXhXvouRyqCLYSKpvQBUm9mvdzxgZovN7E0x1iQlSkErEnzWzI52fHiYbemdwFuj4V3bgc9TAnO9SvHR7F0iInmmFq2ISJ4paEVE8kxBKyKSZwpaEZE8U9CKiOSZglZEJM8UtCIieaagFRHJs/8PWh9PYVleOLwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,1,figsize=(5,5))\n",
    "ax.plot(logt(data['TchlA (ug/L)']),logt(Chl_N*(data['mod_flagellates']+data['mod_ciliates']+data['mod_diatoms'])),'k.')\n",
    "ax.set_title('log10[ Total Chlorophyll (ug/L) + 0.001]')\n",
    "ax.set_xlabel('HPLC')\n",
    "ax.set_ylabel('model')\n",
    "ax.plot((-6,5),(-6,5),'r-',alpha=.3)\n",
    "ax.set_xlim(-1,2)\n",
    "ax.set_ylim(-1,2);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "papermill": {
     "duration": 0.101639,
     "end_time": "2020-11-16T18:41:48.737267",
     "exception": false,
     "start_time": "2020-11-16T18:41:48.635628",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def yd(idt):\n",
    "    if type(idt)==dt.datetime:\n",
    "        yd=(idt-dt.datetime(idt.year-1,12,31)).days\n",
    "    else: # assume array or pandas\n",
    "        yd=[(ii-dt.datetime(ii.year-1,12,31)).days for ii in idt]\n",
    "    return yd\n",
    "\n",
    "data['yd']=yd(data['dtUTC'])\n",
    "data['Year']=[ii.year for ii in data['dtUTC']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "papermill": {
     "duration": 0.264336,
     "end_time": "2020-11-16T18:41:49.023497",
     "exception": false,
     "start_time": "2020-11-16T18:41:48.759161",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7fe866e4bcd0>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,1,figsize=(5,5))\n",
    "m=ax.scatter(logt(data['TchlA (ug/L)']),logt(Chl_N*(data['mod_flagellates']+data['mod_ciliates']+data['mod_diatoms'])),\n",
    "          c=data['yd'],cmap=cmocean.cm.phase)\n",
    "ax.set_title('log10[ Total Chlorophyll (ug/L) + 0.001] By Year Day')\n",
    "ax.set_xlabel('HPLC')\n",
    "ax.set_ylabel('model')\n",
    "ax.plot((-6,5),(-6,5),'r-',alpha=.3)\n",
    "ax.set_xlim(-1,2)\n",
    "ax.set_ylim(-1,2);\n",
    "fig.colorbar(m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "papermill": {
     "duration": 0.049485,
     "end_time": "2020-11-16T18:41:49.097861",
     "exception": false,
     "start_time": "2020-11-16T18:41:49.048376",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "with nc.Dataset('/ocean/eolson/MEOPAR/NEMO-forcing/grid/mesh_mask201702_noLPE.nc') as mesh:\n",
    "    tmask=np.copy(mesh.variables['tmask'][0,:,:,:])\n",
    "    navlat=np.copy(mesh.variables['nav_lat'][:,:])\n",
    "    navlon=np.copy(mesh.variables['nav_lon'][:,:])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.023003,
     "end_time": "2020-11-16T18:41:49.144425",
     "exception": false,
     "start_time": "2020-11-16T18:41:49.121422",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Multiple Linear Regression\n",
    "\n",
    "#### Diatoms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "papermill": {
     "duration": 0.089004,
     "end_time": "2020-11-16T18:41:49.256260",
     "exception": false,
     "start_time": "2020-11-16T18:41:49.167256",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "ii=(~pd.isnull(data['mod_diatoms']))&(~pd.isnull(data['Diatoms-1']))&(~pd.isnull(data['Diatoms-2']))&(~pd.isnull(data['Cyanobacteria']))&\\\n",
    "        (~pd.isnull(data['Cryptophytes']))&(~pd.isnull(data['Prasinophytes']))&(~pd.isnull(data['Haptophytes']))&\\\n",
    "        (~pd.isnull(data['Dictyochophytes']))&(~pd.isnull(data['Dinoflagellates']))&(~pd.isnull(data['Raphidophytes']))\n",
    "A=np.vstack([data.loc[ii]['Diatoms-1'],data.loc[ii]['Diatoms-2'],data.loc[ii]['Cyanobacteria'],data.loc[ii]['Cryptophytes'],\n",
    "               data.loc[ii]['Prasinophytes'],data.loc[ii]['Haptophytes'],data.loc[ii]['Dictyochophytes'],data.loc[ii]['Dinoflagellates'],\n",
    "             data.loc[ii]['Raphidophytes'],np.ones(np.shape(data.loc[ii]['Diatoms-1']))]).T\n",
    "b=data.loc[ii]['mod_diatoms']\n",
    "m=np.linalg.lstsq(A,b,rcond=None)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "papermill": {
     "duration": 0.028087,
     "end_time": "2020-11-16T18:41:49.307785",
     "exception": false,
     "start_time": "2020-11-16T18:41:49.279698",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  0.15362011,   0.53705251, -18.59835986,  -4.1147894 ,\n",
       "        -0.69707046,   2.47382085,  -9.47613134,  -3.22807949,\n",
       "         6.92805154,   1.12486821])"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "papermill": {
     "duration": 0.02824,
     "end_time": "2020-11-16T18:41:49.359150",
     "exception": false,
     "start_time": "2020-11-16T18:41:49.330910",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Diatoms-1 0.15362010517970096\n",
      "Diatoms-2 0.5370525136344207\n",
      "Cyanobacteria -18.598359863668296\n",
      "Cryptophytes -4.11478940137139\n",
      "Prasinophytes -0.697070462543518\n",
      "Haptophytes 2.4738208531562136\n",
      "Dictyochophytes -9.47613134008586\n",
      "Dinoflagellates -3.2280794949396108\n",
      "Raphidophytes 6.928051542084849\n",
      "ones 1.1248682091533673\n"
     ]
    }
   ],
   "source": [
    "clist=('Diatoms-1','Diatoms-2','Cyanobacteria','Cryptophytes','Prasinophytes','Haptophytes',\n",
    "        'Dictyochophytes','Dinoflagellates','Raphidophytes','ones')\n",
    "for c, mm in zip(clist,m):\n",
    "    print(c,mm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "papermill": {
     "duration": 0.03519,
     "end_time": "2020-11-16T18:41:49.418351",
     "exception": false,
     "start_time": "2020-11-16T18:41:49.383161",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "ii=(~pd.isnull(data['mod_diatoms']))&(~pd.isnull(data['Diatoms-1']))&(~pd.isnull(data['Diatoms-2']))&\\\n",
    "        (~pd.isnull(data['Cryptophytes']))&(~pd.isnull(data['Raphidophytes']))\n",
    "A=np.vstack([data.loc[ii]['Diatoms-1'],data.loc[ii]['Diatoms-2'],data.loc[ii]['Cryptophytes'],\n",
    "            data.loc[ii]['Raphidophytes'],np.ones(np.shape(data.loc[ii]['Diatoms-1']))]).T\n",
    "b=data.loc[ii]['mod_diatoms']\n",
    "m=np.linalg.lstsq(A,b,rcond=None)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "papermill": {
     "duration": 0.028441,
     "end_time": "2020-11-16T18:41:49.470360",
     "exception": false,
     "start_time": "2020-11-16T18:41:49.441919",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Diatoms-1 0.14154549311372153\n",
      "Diatoms-2 0.09174958765481278\n",
      "Cryptophytes -5.156844002272221\n",
      "Raphidophytes 5.284391528044782\n",
      "ones 1.3974490683403271\n"
     ]
    }
   ],
   "source": [
    "clist=('Diatoms-1','Diatoms-2','Cryptophytes','Raphidophytes','ones')\n",
    "for c, mm in zip(clist,m):\n",
    "    print(c,mm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "papermill": {
     "duration": 0.033748,
     "end_time": "2020-11-16T18:41:49.528229",
     "exception": false,
     "start_time": "2020-11-16T18:41:49.494481",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "ii=(~pd.isnull(data['mod_diatoms']))&(~pd.isnull(data['Diatoms-1']))&\\\n",
    "        (~pd.isnull(data['Cryptophytes']))&(~pd.isnull(data['Raphidophytes']))\n",
    "A=np.vstack([data.loc[ii]['Diatoms-1'],data.loc[ii]['Cryptophytes'],\n",
    "            data.loc[ii]['Raphidophytes'],np.ones(np.shape(data.loc[ii]['Diatoms-1']))]).T\n",
    "b=data.loc[ii]['mod_diatoms']\n",
    "m=np.linalg.lstsq(A,b,rcond=None)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "papermill": {
     "duration": 0.028631,
     "end_time": "2020-11-16T18:41:49.581253",
     "exception": false,
     "start_time": "2020-11-16T18:41:49.552622",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Diatoms-1 0.14499654733629624\n",
      "Cryptophytes -5.134087754268163\n",
      "Raphidophytes 5.1740744108946215\n",
      "ones 1.412721385811937\n"
     ]
    }
   ],
   "source": [
    "clist=('Diatoms-1','Cryptophytes','Raphidophytes','ones')\n",
    "for c, mm in zip(clist,m):\n",
    "    print(c,mm)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.023862,
     "end_time": "2020-11-16T18:41:49.629279",
     "exception": false,
     "start_time": "2020-11-16T18:41:49.605417",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "#### flagellates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "papermill": {
     "duration": 0.040804,
     "end_time": "2020-11-16T18:41:49.694265",
     "exception": false,
     "start_time": "2020-11-16T18:41:49.653461",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "ii=(~pd.isnull(data['mod_flagellates']))&(~pd.isnull(data['Diatoms-1']))&(~pd.isnull(data['Diatoms-2']))&(~pd.isnull(data['Cyanobacteria']))&\\\n",
    "        (~pd.isnull(data['Cryptophytes']))&(~pd.isnull(data['Prasinophytes']))&(~pd.isnull(data['Haptophytes']))&\\\n",
    "        (~pd.isnull(data['Dictyochophytes']))&(~pd.isnull(data['Dinoflagellates']))&(~pd.isnull(data['Raphidophytes']))\n",
    "A=np.vstack([data.loc[ii]['Diatoms-1'],data.loc[ii]['Diatoms-2'],data.loc[ii]['Cyanobacteria'],data.loc[ii]['Cryptophytes'],\n",
    "               data.loc[ii]['Prasinophytes'],data.loc[ii]['Haptophytes'],data.loc[ii]['Dictyochophytes'],data.loc[ii]['Dinoflagellates'],\n",
    "             data.loc[ii]['Raphidophytes'],np.ones(np.shape(data.loc[ii]['Diatoms-1']))]).T\n",
    "b=data.loc[ii]['mod_flagellates']\n",
    "m=np.linalg.lstsq(A,b,rcond=None)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "papermill": {
     "duration": 0.028927,
     "end_time": "2020-11-16T18:41:49.747535",
     "exception": false,
     "start_time": "2020-11-16T18:41:49.718608",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 3.62349585e-03, -2.87070360e-01,  9.78042634e+00,  2.29461273e-02,\n",
       "        1.46210925e+00, -6.68310185e-01, -4.10156957e+00,  4.22687229e-02,\n",
       "       -4.45418943e-01,  6.54249207e-01])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "papermill": {
     "duration": 0.029629,
     "end_time": "2020-11-16T18:41:49.801140",
     "exception": false,
     "start_time": "2020-11-16T18:41:49.771511",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Diatoms-1 0.0036234958534809222\n",
      "Diatoms-2 -0.28707035984171997\n",
      "Cyanobacteria 9.78042633700488\n",
      "Cryptophytes 0.022946127347855002\n",
      "Prasinophytes 1.4621092506367768\n",
      "Haptophytes -0.6683101854728772\n",
      "Dictyochophytes -4.101569568838664\n",
      "Dinoflagellates 0.04226872287429033\n",
      "Raphidophytes -0.44541894277273747\n",
      "ones 0.6542492069408701\n"
     ]
    }
   ],
   "source": [
    "clist=('Diatoms-1','Diatoms-2','Cyanobacteria','Cryptophytes','Prasinophytes','Haptophytes',\n",
    "        'Dictyochophytes','Dinoflagellates','Raphidophytes','ones')\n",
    "for c, mm in zip(clist,m):\n",
    "    print(c,mm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "papermill": {
     "duration": 0.0398,
     "end_time": "2020-11-16T18:41:49.865344",
     "exception": false,
     "start_time": "2020-11-16T18:41:49.825544",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "ii=(~pd.isnull(data['mod_flagellates']))&(~pd.isnull(data['Diatoms-1']))&(~pd.isnull(data['Cyanobacteria']))&\\\n",
    "        (~pd.isnull(data['Cryptophytes']))&(~pd.isnull(data['Prasinophytes']))&(~pd.isnull(data['Haptophytes']))&\\\n",
    "        (~pd.isnull(data['Dictyochophytes']))&(~pd.isnull(data['Dinoflagellates']))&(~pd.isnull(data['Raphidophytes']))\n",
    "A=np.vstack([data.loc[ii]['Diatoms-1'],data.loc[ii]['Cyanobacteria'],data.loc[ii]['Cryptophytes'],\n",
    "               data.loc[ii]['Prasinophytes'],data.loc[ii]['Haptophytes'],data.loc[ii]['Dictyochophytes'],\n",
    "             data.loc[ii]['Dinoflagellates'],np.ones(np.shape(data.loc[ii]['Diatoms-1']))]).T\n",
    "b=data.loc[ii]['mod_flagellates']\n",
    "m=np.linalg.lstsq(A,b,rcond=None)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "papermill": {
     "duration": 0.031116,
     "end_time": "2020-11-16T18:41:49.921502",
     "exception": false,
     "start_time": "2020-11-16T18:41:49.890386",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Diatoms-1 -0.003492440405774762\n",
      "Cyanobacteria 9.856053648274441\n",
      "Cryptophytes 0.3371327589433806\n",
      "Prasinophytes 1.0889578576309311\n",
      "Haptophytes -0.5804871449829264\n",
      "Dictyochophytes -6.499559024603098\n",
      "Dinoflagellates -0.46551523992896404\n",
      "ones 0.6021349158066318\n"
     ]
    }
   ],
   "source": [
    "clist=('Diatoms-1','Cyanobacteria','Cryptophytes','Prasinophytes','Haptophytes',\n",
    "        'Dictyochophytes','Dinoflagellates','ones')\n",
    "for c, mm in zip(clist,m):\n",
    "    print(c,mm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "papermill": {
     "duration": 0.038704,
     "end_time": "2020-11-16T18:41:49.985269",
     "exception": false,
     "start_time": "2020-11-16T18:41:49.946565",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "ii=(~pd.isnull(data['mod_flagellates']))&(~pd.isnull(data['Cyanobacteria']))&\\\n",
    "        (~pd.isnull(data['Cryptophytes']))&(~pd.isnull(data['Prasinophytes']))&(~pd.isnull(data['Haptophytes']))&\\\n",
    "        (~pd.isnull(data['Dictyochophytes']))&(~pd.isnull(data['Raphidophytes']))\n",
    "A=np.vstack([data.loc[ii]['Cyanobacteria'],data.loc[ii]['Cryptophytes'],\n",
    "               data.loc[ii]['Prasinophytes'],data.loc[ii]['Haptophytes'],data.loc[ii]['Dictyochophytes'],\n",
    "             np.ones(np.shape(data.loc[ii]['Diatoms-1']))]).T\n",
    "b=data.loc[ii]['mod_flagellates']\n",
    "m=np.linalg.lstsq(A,b,rcond=None)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "papermill": {
     "duration": 0.029337,
     "end_time": "2020-11-16T18:41:50.038755",
     "exception": false,
     "start_time": "2020-11-16T18:41:50.009418",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cyanobacteria 10.009595279342664\n",
      "Cryptophytes 0.04098760671663093\n",
      "Prasinophytes 1.3933813294354769\n",
      "Haptophytes -0.49778588249938593\n",
      "Dictyochophytes -6.81550667434942\n",
      "ones 0.5557648273130189\n"
     ]
    }
   ],
   "source": [
    "clist=('Cyanobacteria','Cryptophytes','Prasinophytes','Haptophytes',\n",
    "        'Dictyochophytes','ones')\n",
    "for c, mm in zip(clist,m):\n",
    "    print(c,mm)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.024377,
     "end_time": "2020-11-16T18:41:50.087772",
     "exception": false,
     "start_time": "2020-11-16T18:41:50.063395",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "#### M. rubrum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "papermill": {
     "duration": 0.041422,
     "end_time": "2020-11-16T18:41:50.153523",
     "exception": false,
     "start_time": "2020-11-16T18:41:50.112101",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "ii=(~pd.isnull(data['mod_ciliates']))&(~pd.isnull(data['Diatoms-1']))&(~pd.isnull(data['Diatoms-2']))&(~pd.isnull(data['Cyanobacteria']))&\\\n",
    "        (~pd.isnull(data['Cryptophytes']))&(~pd.isnull(data['Prasinophytes']))&(~pd.isnull(data['Haptophytes']))&\\\n",
    "        (~pd.isnull(data['Dictyochophytes']))&(~pd.isnull(data['Dinoflagellates']))&(~pd.isnull(data['Raphidophytes']))\n",
    "A=np.vstack([data.loc[ii]['Diatoms-1'],data.loc[ii]['Diatoms-2'],data.loc[ii]['Cyanobacteria'],data.loc[ii]['Cryptophytes'],\n",
    "               data.loc[ii]['Prasinophytes'],data.loc[ii]['Haptophytes'],data.loc[ii]['Dictyochophytes'],data.loc[ii]['Dinoflagellates'],\n",
    "             data.loc[ii]['Raphidophytes'],np.ones(np.shape(data.loc[ii]['Diatoms-1']))]).T\n",
    "b=data.loc[ii]['mod_ciliates']\n",
    "m=np.linalg.lstsq(A,b,rcond=None)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "papermill": {
     "duration": 0.03022,
     "end_time": "2020-11-16T18:41:50.208282",
     "exception": false,
     "start_time": "2020-11-16T18:41:50.178062",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Diatoms-1 0.014522618987242433\n",
      "Diatoms-2 -0.07637852658674282\n",
      "Cyanobacteria -1.5530543193895352\n",
      "Cryptophytes 0.28936233755418134\n",
      "Prasinophytes -0.3474422162497295\n",
      "Haptophytes -0.022588197484232884\n",
      "Dictyochophytes 1.234743624724585\n",
      "Dinoflagellates 0.2426084184025224\n",
      "Raphidophytes 0.07913791603449481\n",
      "ones 0.39038901660459696\n"
     ]
    }
   ],
   "source": [
    "clist=('Diatoms-1','Diatoms-2','Cyanobacteria','Cryptophytes','Prasinophytes','Haptophytes',\n",
    "        'Dictyochophytes','Dinoflagellates','Raphidophytes','ones')\n",
    "for c, mm in zip(clist,m):\n",
    "    print(c,mm)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.024185,
     "end_time": "2020-11-16T18:41:50.257002",
     "exception": false,
     "start_time": "2020-11-16T18:41:50.232817",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Diatoms:\n",
    "- Cryptophytes 0.38\n",
    "- Diatoms-1 0.16\n",
    "- Raphidophytes 0.09\n",
    "\n",
    "Flagellates:\n",
    "- Cyanobacteria 0.9248939785743201\n",
    "- Cryptophytes 0.592769155988474\n",
    "- Prasinophytes 0.18975008147644779\n",
    "- Haptophytes 0.2794204846195845\n",
    "- Dictyochophytes 0.058845777018170356\n",
    "\n",
    "M. rubrum:\n",
    "- Cyanobacteria 0.2710109702166438\n",
    "\n",
    "None:\n",
    "- Diatoms-2\n",
    "- Dinoflagellates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "papermill": {
     "duration": 0.77876,
     "end_time": "2020-11-16T18:41:51.060258",
     "exception": false,
     "start_time": "2020-11-16T18:41:50.281498",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fe866ee83a0>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x504 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(2,5,figsize=(15,7))\n",
    "fig.subplots_adjust(wspace=.4)\n",
    "ax=ax.flatten()\n",
    "\n",
    "chplc=('Diatoms-1', 'Diatoms-2','Cyanobacteria','Cryptophytes', 'Prasinophytes', \n",
    "       'Haptophytes',  'Dictyochophytes','Dinoflagellates','Raphidophytes','TchlA (ug/L)')\n",
    "\n",
    "mvar1=Chl_N*data['mod_diatoms']\n",
    "mvar2=Chl_N*data['mod_flagellates']\n",
    "\n",
    "for ii in range(0,len(chplc)):\n",
    "    ax[ii].plot(logt(data.loc[:,[chplc[ii]]].values),logt(mvar1),'.',color='blue',label='Diatoms')\n",
    "    ax[ii].plot(logt(data.loc[:,[chplc[ii]]].values),logt(mvar2),'.',color='red',label='Flagellates')\n",
    "    ax[ii].set_ylabel('Model Class')\n",
    "    ax[ii].set_xlabel(chplc[ii])\n",
    "    ax[ii].set_title('log10[Chl(mg/m3)+.001]')\n",
    "    ax[ii].plot((-3,1.5),(-3,1.5),'k-',alpha=.2)\n",
    "    ax[ii].set_xlim((-3,1.5))\n",
    "    ax[ii].set_ylim((-3,1.5))\n",
    "    ax[ii].set_aspect(1)\n",
    "ax[0].legend()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "papermill": {
     "duration": 0.264437,
     "end_time": "2020-11-16T18:41:51.352800",
     "exception": false,
     "start_time": "2020-11-16T18:41:51.088363",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-3, 1.5)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x216 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,3,figsize=(12,3))\n",
    "fig.subplots_adjust(wspace=.5)\n",
    "#ax[0].plot(logt(data['Diatoms-1']+data['Raphidophytes']+.5*data['Cryptophytes']),logt(data['mod_diatoms']),'r.')\n",
    "ax[0].plot(logt(data['Diatoms-1']+data['Raphidophytes']),logt(data['mod_diatoms']),'k.')\n",
    "ax[0].set_ylabel('Model diatoms')\n",
    "ax[0].set_xlabel('Diatoms1+Raphido')\n",
    "ax[0].set_title('log10[Chl(mg/m3)+.001]')\n",
    "ax[0].plot((-3,1.5),(-3,1.5),'k-',alpha=.2)\n",
    "ax[0].set_xlim((-3,1.5))\n",
    "ax[0].set_ylim((-3,1.5))\n",
    "\n",
    "ax[1].plot(logt(data['Cyanobacteria']+data['Cryptophytes']+data['Haptophytes']),logt(data['mod_flagellates']),'k.')\n",
    "ax[1].set_ylabel('Model flagellates')\n",
    "ax[1].set_xlabel('Cyano+Crypto+Hapto')\n",
    "ax[1].set_title('log10[Chl(mg/m3)+.001]')\n",
    "ax[1].plot((-3,1.5),(-3,1.5),'k-',alpha=.2)\n",
    "ax[1].set_xlim((-3,1.5))\n",
    "ax[1].set_ylim((-3,1.5))\n",
    "\n",
    "\n",
    "ax[2].plot(logt(data['Cyanobacteria']),logt(data['mod_ciliates']),'k.')\n",
    "ax[2].set_ylabel('Model M. rubrum')\n",
    "ax[2].set_xlabel('Cyano')\n",
    "ax[2].set_title('log10[Chl(mg/m3)+.001]')\n",
    "ax[2].plot((-3,1.5),(-3,1.5),'k-',alpha=.2)\n",
    "ax[2].set_xlim((-3,1.5))\n",
    "ax[2].set_ylim((-3,1.5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "papermill": {
     "duration": 0.041088,
     "end_time": "2020-11-16T18:41:51.423016",
     "exception": false,
     "start_time": "2020-11-16T18:41:51.381928",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "data['mod_diatoms_chl']=Chl_N*data['mod_diatoms']\n",
    "data['mod_flagellates_chl']=Chl_N*data['mod_flagellates']\n",
    "data['mod_ciliates_chl']=Chl_N*data['mod_ciliates']\n",
    "data['mod_TChl']=data['mod_diatoms_chl']+data['mod_flagellates_chl']+data['mod_ciliates_chl']\n",
    "data['CCPH']=data['Cyanobacteria']+data['Cryptophytes']+data['Prasinophytes']+data['Haptophytes']\n",
    "data['DD']=data['Diatoms-1']+data['Diatoms-2']\n",
    "dfVars=data.loc[:,['Diatoms-1', 'Diatoms-2','Cyanobacteria','Cryptophytes', 'Prasinophytes', \n",
    "       'Haptophytes',  'Dictyochophytes','Dinoflagellates','Raphidophytes','DD','CCPH','TchlA (ug/L)',\n",
    "                   'mod_diatoms_chl','mod_flagellates_chl','mod_ciliates_chl','mod_TChl']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.028328,
     "end_time": "2020-11-16T18:41:51.480020",
     "exception": false,
     "start_time": "2020-11-16T18:41:51.451692",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Variance-Covariance Matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "papermill": {
     "duration": 0.047113,
     "end_time": "2020-11-16T18:41:51.555926",
     "exception": false,
     "start_time": "2020-11-16T18:41:51.508813",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Diatoms-1</th>\n",
       "      <th>Diatoms-2</th>\n",
       "      <th>Cyanobacteria</th>\n",
       "      <th>Cryptophytes</th>\n",
       "      <th>Prasinophytes</th>\n",
       "      <th>Haptophytes</th>\n",
       "      <th>Dictyochophytes</th>\n",
       "      <th>Dinoflagellates</th>\n",
       "      <th>Raphidophytes</th>\n",
       "      <th>DD</th>\n",
       "      <th>CCPH</th>\n",
       "      <th>TchlA (ug/L)</th>\n",
       "      <th>mod_diatoms_chl</th>\n",
       "      <th>mod_flagellates_chl</th>\n",
       "      <th>mod_ciliates_chl</th>\n",
       "      <th>mod_TChl</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Diatoms-1</th>\n",
       "      <td>27.253244</td>\n",
       "      <td>1.017793</td>\n",
       "      <td>-0.054003</td>\n",
       "      <td>-0.090195</td>\n",
       "      <td>-0.056810</td>\n",
       "      <td>-0.595294</td>\n",
       "      <td>-0.009301</td>\n",
       "      <td>0.101353</td>\n",
       "      <td>-0.012529</td>\n",
       "      <td>28.271038</td>\n",
       "      <td>-0.796302</td>\n",
       "      <td>27.553557</td>\n",
       "      <td>7.829763</td>\n",
       "      <td>-0.649576</td>\n",
       "      <td>0.758015</td>\n",
       "      <td>7.938202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Diatoms-2</th>\n",
       "      <td>1.017793</td>\n",
       "      <td>0.375903</td>\n",
       "      <td>-0.003801</td>\n",
       "      <td>-0.007400</td>\n",
       "      <td>-0.000883</td>\n",
       "      <td>-0.052940</td>\n",
       "      <td>0.002094</td>\n",
       "      <td>0.025765</td>\n",
       "      <td>-0.005659</td>\n",
       "      <td>1.393697</td>\n",
       "      <td>-0.065024</td>\n",
       "      <td>1.350779</td>\n",
       "      <td>0.336257</td>\n",
       "      <td>-0.202425</td>\n",
       "      <td>-0.000499</td>\n",
       "      <td>0.133334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cyanobacteria</th>\n",
       "      <td>-0.054003</td>\n",
       "      <td>-0.003801</td>\n",
       "      <td>0.001068</td>\n",
       "      <td>-0.000165</td>\n",
       "      <td>0.000120</td>\n",
       "      <td>0.002049</td>\n",
       "      <td>-0.000087</td>\n",
       "      <td>-0.000554</td>\n",
       "      <td>0.000121</td>\n",
       "      <td>-0.057804</td>\n",
       "      <td>0.003072</td>\n",
       "      <td>-0.055256</td>\n",
       "      <td>-0.037976</td>\n",
       "      <td>0.018765</td>\n",
       "      <td>-0.004537</td>\n",
       "      <td>-0.023748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cryptophytes</th>\n",
       "      <td>-0.090195</td>\n",
       "      <td>-0.007400</td>\n",
       "      <td>-0.000165</td>\n",
       "      <td>0.033249</td>\n",
       "      <td>0.020320</td>\n",
       "      <td>-0.000702</td>\n",
       "      <td>0.000517</td>\n",
       "      <td>0.009071</td>\n",
       "      <td>0.010192</td>\n",
       "      <td>-0.097595</td>\n",
       "      <td>0.052701</td>\n",
       "      <td>-0.025124</td>\n",
       "      <td>-0.235887</td>\n",
       "      <td>0.044722</td>\n",
       "      <td>0.010323</td>\n",
       "      <td>-0.180842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Prasinophytes</th>\n",
       "      <td>-0.056810</td>\n",
       "      <td>-0.000883</td>\n",
       "      <td>0.000120</td>\n",
       "      <td>0.020320</td>\n",
       "      <td>0.017550</td>\n",
       "      <td>-0.001524</td>\n",
       "      <td>0.000441</td>\n",
       "      <td>0.002407</td>\n",
       "      <td>0.005430</td>\n",
       "      <td>-0.057692</td>\n",
       "      <td>0.036466</td>\n",
       "      <td>-0.012948</td>\n",
       "      <td>-0.153675</td>\n",
       "      <td>0.043626</td>\n",
       "      <td>0.000777</td>\n",
       "      <td>-0.109272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Haptophytes</th>\n",
       "      <td>-0.595294</td>\n",
       "      <td>-0.052940</td>\n",
       "      <td>0.002049</td>\n",
       "      <td>-0.000702</td>\n",
       "      <td>-0.001524</td>\n",
       "      <td>0.064185</td>\n",
       "      <td>-0.000259</td>\n",
       "      <td>-0.007239</td>\n",
       "      <td>0.001180</td>\n",
       "      <td>-0.648234</td>\n",
       "      <td>0.064008</td>\n",
       "      <td>-0.590506</td>\n",
       "      <td>0.069721</td>\n",
       "      <td>-0.021288</td>\n",
       "      <td>-0.019602</td>\n",
       "      <td>0.028830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dictyochophytes</th>\n",
       "      <td>-0.009301</td>\n",
       "      <td>0.002094</td>\n",
       "      <td>-0.000087</td>\n",
       "      <td>0.000517</td>\n",
       "      <td>0.000441</td>\n",
       "      <td>-0.000259</td>\n",
       "      <td>0.000271</td>\n",
       "      <td>0.000369</td>\n",
       "      <td>0.000452</td>\n",
       "      <td>-0.007207</td>\n",
       "      <td>0.000613</td>\n",
       "      <td>-0.005505</td>\n",
       "      <td>-0.004314</td>\n",
       "      <td>-0.003510</td>\n",
       "      <td>0.000543</td>\n",
       "      <td>-0.007281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dinoflagellates</th>\n",
       "      <td>0.101353</td>\n",
       "      <td>0.025765</td>\n",
       "      <td>-0.000554</td>\n",
       "      <td>0.009071</td>\n",
       "      <td>0.002407</td>\n",
       "      <td>-0.007239</td>\n",
       "      <td>0.000369</td>\n",
       "      <td>0.016930</td>\n",
       "      <td>0.003439</td>\n",
       "      <td>0.127118</td>\n",
       "      <td>0.003686</td>\n",
       "      <td>0.151519</td>\n",
       "      <td>-0.092742</td>\n",
       "      <td>-0.011174</td>\n",
       "      <td>0.012871</td>\n",
       "      <td>-0.091044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Raphidophytes</th>\n",
       "      <td>-0.012529</td>\n",
       "      <td>-0.005659</td>\n",
       "      <td>0.000121</td>\n",
       "      <td>0.010192</td>\n",
       "      <td>0.005430</td>\n",
       "      <td>0.001180</td>\n",
       "      <td>0.000452</td>\n",
       "      <td>0.003439</td>\n",
       "      <td>0.006417</td>\n",
       "      <td>-0.018188</td>\n",
       "      <td>0.016923</td>\n",
       "      <td>0.009039</td>\n",
       "      <td>-0.037691</td>\n",
       "      <td>0.010040</td>\n",
       "      <td>0.005398</td>\n",
       "      <td>-0.022253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DD</th>\n",
       "      <td>28.271038</td>\n",
       "      <td>1.393697</td>\n",
       "      <td>-0.057804</td>\n",
       "      <td>-0.097595</td>\n",
       "      <td>-0.057692</td>\n",
       "      <td>-0.648234</td>\n",
       "      <td>-0.007207</td>\n",
       "      <td>0.127118</td>\n",
       "      <td>-0.018188</td>\n",
       "      <td>29.664734</td>\n",
       "      <td>-0.861326</td>\n",
       "      <td>28.904336</td>\n",
       "      <td>8.166021</td>\n",
       "      <td>-0.852001</td>\n",
       "      <td>0.757516</td>\n",
       "      <td>8.071536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CCPH</th>\n",
       "      <td>-0.796302</td>\n",
       "      <td>-0.065024</td>\n",
       "      <td>0.003072</td>\n",
       "      <td>0.052701</td>\n",
       "      <td>0.036466</td>\n",
       "      <td>0.064008</td>\n",
       "      <td>0.000613</td>\n",
       "      <td>0.003686</td>\n",
       "      <td>0.016923</td>\n",
       "      <td>-0.861326</td>\n",
       "      <td>0.156247</td>\n",
       "      <td>-0.683835</td>\n",
       "      <td>-0.357817</td>\n",
       "      <td>0.085826</td>\n",
       "      <td>-0.013040</td>\n",
       "      <td>-0.285031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TchlA (ug/L)</th>\n",
       "      <td>27.553557</td>\n",
       "      <td>1.350779</td>\n",
       "      <td>-0.055256</td>\n",
       "      <td>-0.025124</td>\n",
       "      <td>-0.012948</td>\n",
       "      <td>-0.590506</td>\n",
       "      <td>-0.005505</td>\n",
       "      <td>0.151519</td>\n",
       "      <td>0.009039</td>\n",
       "      <td>28.904336</td>\n",
       "      <td>-0.683835</td>\n",
       "      <td>28.374752</td>\n",
       "      <td>7.673414</td>\n",
       "      <td>-0.770816</td>\n",
       "      <td>0.763266</td>\n",
       "      <td>7.665864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_diatoms_chl</th>\n",
       "      <td>7.829763</td>\n",
       "      <td>0.336257</td>\n",
       "      <td>-0.037976</td>\n",
       "      <td>-0.235887</td>\n",
       "      <td>-0.153675</td>\n",
       "      <td>0.069721</td>\n",
       "      <td>-0.004314</td>\n",
       "      <td>-0.092742</td>\n",
       "      <td>-0.037691</td>\n",
       "      <td>8.166021</td>\n",
       "      <td>-0.357817</td>\n",
       "      <td>7.673414</td>\n",
       "      <td>2.613634</td>\n",
       "      <td>0.064976</td>\n",
       "      <td>0.222296</td>\n",
       "      <td>2.900906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_flagellates_chl</th>\n",
       "      <td>-0.649576</td>\n",
       "      <td>-0.202425</td>\n",
       "      <td>0.018765</td>\n",
       "      <td>0.044722</td>\n",
       "      <td>0.043626</td>\n",
       "      <td>-0.021288</td>\n",
       "      <td>-0.003510</td>\n",
       "      <td>-0.011174</td>\n",
       "      <td>0.010040</td>\n",
       "      <td>-0.852001</td>\n",
       "      <td>0.085826</td>\n",
       "      <td>-0.770816</td>\n",
       "      <td>0.064976</td>\n",
       "      <td>0.777297</td>\n",
       "      <td>0.130141</td>\n",
       "      <td>0.972414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_ciliates_chl</th>\n",
       "      <td>0.758015</td>\n",
       "      <td>-0.000499</td>\n",
       "      <td>-0.004537</td>\n",
       "      <td>0.010323</td>\n",
       "      <td>0.000777</td>\n",
       "      <td>-0.019602</td>\n",
       "      <td>0.000543</td>\n",
       "      <td>0.012871</td>\n",
       "      <td>0.005398</td>\n",
       "      <td>0.757516</td>\n",
       "      <td>-0.013040</td>\n",
       "      <td>0.763266</td>\n",
       "      <td>0.222296</td>\n",
       "      <td>0.130141</td>\n",
       "      <td>0.096097</td>\n",
       "      <td>0.448534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_TChl</th>\n",
       "      <td>7.938202</td>\n",
       "      <td>0.133334</td>\n",
       "      <td>-0.023748</td>\n",
       "      <td>-0.180842</td>\n",
       "      <td>-0.109272</td>\n",
       "      <td>0.028830</td>\n",
       "      <td>-0.007281</td>\n",
       "      <td>-0.091044</td>\n",
       "      <td>-0.022253</td>\n",
       "      <td>8.071536</td>\n",
       "      <td>-0.285031</td>\n",
       "      <td>7.665864</td>\n",
       "      <td>2.900906</td>\n",
       "      <td>0.972414</td>\n",
       "      <td>0.448534</td>\n",
       "      <td>4.321854</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Diatoms-1  Diatoms-2  Cyanobacteria  Cryptophytes  \\\n",
       "Diatoms-1            27.253244   1.017793      -0.054003     -0.090195   \n",
       "Diatoms-2             1.017793   0.375903      -0.003801     -0.007400   \n",
       "Cyanobacteria        -0.054003  -0.003801       0.001068     -0.000165   \n",
       "Cryptophytes         -0.090195  -0.007400      -0.000165      0.033249   \n",
       "Prasinophytes        -0.056810  -0.000883       0.000120      0.020320   \n",
       "Haptophytes          -0.595294  -0.052940       0.002049     -0.000702   \n",
       "Dictyochophytes      -0.009301   0.002094      -0.000087      0.000517   \n",
       "Dinoflagellates       0.101353   0.025765      -0.000554      0.009071   \n",
       "Raphidophytes        -0.012529  -0.005659       0.000121      0.010192   \n",
       "DD                   28.271038   1.393697      -0.057804     -0.097595   \n",
       "CCPH                 -0.796302  -0.065024       0.003072      0.052701   \n",
       "TchlA (ug/L)         27.553557   1.350779      -0.055256     -0.025124   \n",
       "mod_diatoms_chl       7.829763   0.336257      -0.037976     -0.235887   \n",
       "mod_flagellates_chl  -0.649576  -0.202425       0.018765      0.044722   \n",
       "mod_ciliates_chl      0.758015  -0.000499      -0.004537      0.010323   \n",
       "mod_TChl              7.938202   0.133334      -0.023748     -0.180842   \n",
       "\n",
       "                     Prasinophytes  Haptophytes  Dictyochophytes  \\\n",
       "Diatoms-1                -0.056810    -0.595294        -0.009301   \n",
       "Diatoms-2                -0.000883    -0.052940         0.002094   \n",
       "Cyanobacteria             0.000120     0.002049        -0.000087   \n",
       "Cryptophytes              0.020320    -0.000702         0.000517   \n",
       "Prasinophytes             0.017550    -0.001524         0.000441   \n",
       "Haptophytes              -0.001524     0.064185        -0.000259   \n",
       "Dictyochophytes           0.000441    -0.000259         0.000271   \n",
       "Dinoflagellates           0.002407    -0.007239         0.000369   \n",
       "Raphidophytes             0.005430     0.001180         0.000452   \n",
       "DD                       -0.057692    -0.648234        -0.007207   \n",
       "CCPH                      0.036466     0.064008         0.000613   \n",
       "TchlA (ug/L)             -0.012948    -0.590506        -0.005505   \n",
       "mod_diatoms_chl          -0.153675     0.069721        -0.004314   \n",
       "mod_flagellates_chl       0.043626    -0.021288        -0.003510   \n",
       "mod_ciliates_chl          0.000777    -0.019602         0.000543   \n",
       "mod_TChl                 -0.109272     0.028830        -0.007281   \n",
       "\n",
       "                     Dinoflagellates  Raphidophytes         DD      CCPH  \\\n",
       "Diatoms-1                   0.101353      -0.012529  28.271038 -0.796302   \n",
       "Diatoms-2                   0.025765      -0.005659   1.393697 -0.065024   \n",
       "Cyanobacteria              -0.000554       0.000121  -0.057804  0.003072   \n",
       "Cryptophytes                0.009071       0.010192  -0.097595  0.052701   \n",
       "Prasinophytes               0.002407       0.005430  -0.057692  0.036466   \n",
       "Haptophytes                -0.007239       0.001180  -0.648234  0.064008   \n",
       "Dictyochophytes             0.000369       0.000452  -0.007207  0.000613   \n",
       "Dinoflagellates             0.016930       0.003439   0.127118  0.003686   \n",
       "Raphidophytes               0.003439       0.006417  -0.018188  0.016923   \n",
       "DD                          0.127118      -0.018188  29.664734 -0.861326   \n",
       "CCPH                        0.003686       0.016923  -0.861326  0.156247   \n",
       "TchlA (ug/L)                0.151519       0.009039  28.904336 -0.683835   \n",
       "mod_diatoms_chl            -0.092742      -0.037691   8.166021 -0.357817   \n",
       "mod_flagellates_chl        -0.011174       0.010040  -0.852001  0.085826   \n",
       "mod_ciliates_chl            0.012871       0.005398   0.757516 -0.013040   \n",
       "mod_TChl                   -0.091044      -0.022253   8.071536 -0.285031   \n",
       "\n",
       "                     TchlA (ug/L)  mod_diatoms_chl  mod_flagellates_chl  \\\n",
       "Diatoms-1               27.553557         7.829763            -0.649576   \n",
       "Diatoms-2                1.350779         0.336257            -0.202425   \n",
       "Cyanobacteria           -0.055256        -0.037976             0.018765   \n",
       "Cryptophytes            -0.025124        -0.235887             0.044722   \n",
       "Prasinophytes           -0.012948        -0.153675             0.043626   \n",
       "Haptophytes             -0.590506         0.069721            -0.021288   \n",
       "Dictyochophytes         -0.005505        -0.004314            -0.003510   \n",
       "Dinoflagellates          0.151519        -0.092742            -0.011174   \n",
       "Raphidophytes            0.009039        -0.037691             0.010040   \n",
       "DD                      28.904336         8.166021            -0.852001   \n",
       "CCPH                    -0.683835        -0.357817             0.085826   \n",
       "TchlA (ug/L)            28.374752         7.673414            -0.770816   \n",
       "mod_diatoms_chl          7.673414         2.613634             0.064976   \n",
       "mod_flagellates_chl     -0.770816         0.064976             0.777297   \n",
       "mod_ciliates_chl         0.763266         0.222296             0.130141   \n",
       "mod_TChl                 7.665864         2.900906             0.972414   \n",
       "\n",
       "                     mod_ciliates_chl  mod_TChl  \n",
       "Diatoms-1                    0.758015  7.938202  \n",
       "Diatoms-2                   -0.000499  0.133334  \n",
       "Cyanobacteria               -0.004537 -0.023748  \n",
       "Cryptophytes                 0.010323 -0.180842  \n",
       "Prasinophytes                0.000777 -0.109272  \n",
       "Haptophytes                 -0.019602  0.028830  \n",
       "Dictyochophytes              0.000543 -0.007281  \n",
       "Dinoflagellates              0.012871 -0.091044  \n",
       "Raphidophytes                0.005398 -0.022253  \n",
       "DD                           0.757516  8.071536  \n",
       "CCPH                        -0.013040 -0.285031  \n",
       "TchlA (ug/L)                 0.763266  7.665864  \n",
       "mod_diatoms_chl              0.222296  2.900906  \n",
       "mod_flagellates_chl          0.130141  0.972414  \n",
       "mod_ciliates_chl             0.096097  0.448534  \n",
       "mod_TChl                     0.448534  4.321854  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfVars.cov()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.028755,
     "end_time": "2020-11-16T18:41:51.613969",
     "exception": false,
     "start_time": "2020-11-16T18:41:51.585214",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Correlation Coefficient Matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "papermill": {
     "duration": 0.046248,
     "end_time": "2020-11-16T18:41:51.690051",
     "exception": false,
     "start_time": "2020-11-16T18:41:51.643803",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Diatoms-1</th>\n",
       "      <th>Diatoms-2</th>\n",
       "      <th>Cyanobacteria</th>\n",
       "      <th>Cryptophytes</th>\n",
       "      <th>Prasinophytes</th>\n",
       "      <th>Haptophytes</th>\n",
       "      <th>Dictyochophytes</th>\n",
       "      <th>Dinoflagellates</th>\n",
       "      <th>Raphidophytes</th>\n",
       "      <th>DD</th>\n",
       "      <th>CCPH</th>\n",
       "      <th>TchlA (ug/L)</th>\n",
       "      <th>mod_diatoms_chl</th>\n",
       "      <th>mod_flagellates_chl</th>\n",
       "      <th>mod_ciliates_chl</th>\n",
       "      <th>mod_TChl</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Diatoms-1</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.317989</td>\n",
       "      <td>-0.316480</td>\n",
       "      <td>-0.094751</td>\n",
       "      <td>-0.082145</td>\n",
       "      <td>-0.450098</td>\n",
       "      <td>-0.108225</td>\n",
       "      <td>0.149213</td>\n",
       "      <td>-0.029960</td>\n",
       "      <td>0.994288</td>\n",
       "      <td>-0.385889</td>\n",
       "      <td>0.990838</td>\n",
       "      <td>0.400933</td>\n",
       "      <td>-0.117178</td>\n",
       "      <td>0.519488</td>\n",
       "      <td>0.444234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Diatoms-2</th>\n",
       "      <td>0.317989</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.189676</td>\n",
       "      <td>-0.066193</td>\n",
       "      <td>-0.010867</td>\n",
       "      <td>-0.340824</td>\n",
       "      <td>0.207454</td>\n",
       "      <td>0.322972</td>\n",
       "      <td>-0.115224</td>\n",
       "      <td>0.417359</td>\n",
       "      <td>-0.268305</td>\n",
       "      <td>0.413600</td>\n",
       "      <td>0.146611</td>\n",
       "      <td>-0.310923</td>\n",
       "      <td>-0.002909</td>\n",
       "      <td>0.063533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cyanobacteria</th>\n",
       "      <td>-0.316480</td>\n",
       "      <td>-0.189676</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.027711</td>\n",
       "      <td>0.027686</td>\n",
       "      <td>0.247459</td>\n",
       "      <td>-0.161128</td>\n",
       "      <td>-0.130171</td>\n",
       "      <td>0.046081</td>\n",
       "      <td>-0.324695</td>\n",
       "      <td>0.237790</td>\n",
       "      <td>-0.317360</td>\n",
       "      <td>-0.310580</td>\n",
       "      <td>0.540658</td>\n",
       "      <td>-0.496644</td>\n",
       "      <td>-0.212253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cryptophytes</th>\n",
       "      <td>-0.094751</td>\n",
       "      <td>-0.066193</td>\n",
       "      <td>-0.027711</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.841199</td>\n",
       "      <td>-0.015201</td>\n",
       "      <td>0.172372</td>\n",
       "      <td>0.382325</td>\n",
       "      <td>0.697735</td>\n",
       "      <td>-0.098270</td>\n",
       "      <td>0.731185</td>\n",
       "      <td>-0.025866</td>\n",
       "      <td>-0.345818</td>\n",
       "      <td>0.230974</td>\n",
       "      <td>0.202540</td>\n",
       "      <td>-0.289741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Prasinophytes</th>\n",
       "      <td>-0.082145</td>\n",
       "      <td>-0.010867</td>\n",
       "      <td>0.027686</td>\n",
       "      <td>0.841199</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.045399</td>\n",
       "      <td>0.202345</td>\n",
       "      <td>0.139653</td>\n",
       "      <td>0.511728</td>\n",
       "      <td>-0.079958</td>\n",
       "      <td>0.696377</td>\n",
       "      <td>-0.018349</td>\n",
       "      <td>-0.310100</td>\n",
       "      <td>0.310129</td>\n",
       "      <td>0.020982</td>\n",
       "      <td>-0.240976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Haptophytes</th>\n",
       "      <td>-0.450098</td>\n",
       "      <td>-0.340824</td>\n",
       "      <td>0.247459</td>\n",
       "      <td>-0.015201</td>\n",
       "      <td>-0.045399</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.062038</td>\n",
       "      <td>-0.219589</td>\n",
       "      <td>0.058141</td>\n",
       "      <td>-0.469782</td>\n",
       "      <td>0.639164</td>\n",
       "      <td>-0.437565</td>\n",
       "      <td>0.073567</td>\n",
       "      <td>-0.079133</td>\n",
       "      <td>-0.276819</td>\n",
       "      <td>0.033246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dictyochophytes</th>\n",
       "      <td>-0.108225</td>\n",
       "      <td>0.207454</td>\n",
       "      <td>-0.161128</td>\n",
       "      <td>0.172372</td>\n",
       "      <td>0.202345</td>\n",
       "      <td>-0.062038</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.172214</td>\n",
       "      <td>0.342729</td>\n",
       "      <td>-0.080380</td>\n",
       "      <td>0.094243</td>\n",
       "      <td>-0.062769</td>\n",
       "      <td>-0.070041</td>\n",
       "      <td>-0.200801</td>\n",
       "      <td>0.118061</td>\n",
       "      <td>-0.129198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dinoflagellates</th>\n",
       "      <td>0.149213</td>\n",
       "      <td>0.322972</td>\n",
       "      <td>-0.130171</td>\n",
       "      <td>0.382325</td>\n",
       "      <td>0.139653</td>\n",
       "      <td>-0.219589</td>\n",
       "      <td>0.172214</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.329988</td>\n",
       "      <td>0.179376</td>\n",
       "      <td>0.071665</td>\n",
       "      <td>0.218614</td>\n",
       "      <td>-0.190539</td>\n",
       "      <td>-0.080874</td>\n",
       "      <td>0.353918</td>\n",
       "      <td>-0.204423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Raphidophytes</th>\n",
       "      <td>-0.029960</td>\n",
       "      <td>-0.115224</td>\n",
       "      <td>0.046081</td>\n",
       "      <td>0.697735</td>\n",
       "      <td>0.511728</td>\n",
       "      <td>0.058141</td>\n",
       "      <td>0.342729</td>\n",
       "      <td>0.329988</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.041687</td>\n",
       "      <td>0.534440</td>\n",
       "      <td>0.021183</td>\n",
       "      <td>-0.125778</td>\n",
       "      <td>0.118030</td>\n",
       "      <td>0.241087</td>\n",
       "      <td>-0.081157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DD</th>\n",
       "      <td>0.994288</td>\n",
       "      <td>0.417359</td>\n",
       "      <td>-0.324695</td>\n",
       "      <td>-0.098270</td>\n",
       "      <td>-0.079958</td>\n",
       "      <td>-0.469782</td>\n",
       "      <td>-0.080380</td>\n",
       "      <td>0.179376</td>\n",
       "      <td>-0.041687</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.400075</td>\n",
       "      <td>0.996269</td>\n",
       "      <td>0.400795</td>\n",
       "      <td>-0.147315</td>\n",
       "      <td>0.497598</td>\n",
       "      <td>0.432947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CCPH</th>\n",
       "      <td>-0.385889</td>\n",
       "      <td>-0.268305</td>\n",
       "      <td>0.237790</td>\n",
       "      <td>0.731185</td>\n",
       "      <td>0.696377</td>\n",
       "      <td>0.639164</td>\n",
       "      <td>0.094243</td>\n",
       "      <td>0.071665</td>\n",
       "      <td>0.534440</td>\n",
       "      <td>-0.400075</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.324772</td>\n",
       "      <td>-0.241984</td>\n",
       "      <td>0.204474</td>\n",
       "      <td>-0.118026</td>\n",
       "      <td>-0.210661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TchlA (ug/L)</th>\n",
       "      <td>0.990838</td>\n",
       "      <td>0.413600</td>\n",
       "      <td>-0.317360</td>\n",
       "      <td>-0.025866</td>\n",
       "      <td>-0.018349</td>\n",
       "      <td>-0.437565</td>\n",
       "      <td>-0.062769</td>\n",
       "      <td>0.218614</td>\n",
       "      <td>0.021183</td>\n",
       "      <td>0.996269</td>\n",
       "      <td>-0.324772</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.385083</td>\n",
       "      <td>-0.136274</td>\n",
       "      <td>0.512645</td>\n",
       "      <td>0.420431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_diatoms_chl</th>\n",
       "      <td>0.400933</td>\n",
       "      <td>0.146611</td>\n",
       "      <td>-0.310580</td>\n",
       "      <td>-0.345818</td>\n",
       "      <td>-0.310100</td>\n",
       "      <td>0.073567</td>\n",
       "      <td>-0.070041</td>\n",
       "      <td>-0.190539</td>\n",
       "      <td>-0.125778</td>\n",
       "      <td>0.400795</td>\n",
       "      <td>-0.241984</td>\n",
       "      <td>0.385083</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.045587</td>\n",
       "      <td>0.443561</td>\n",
       "      <td>0.863130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_flagellates_chl</th>\n",
       "      <td>-0.117178</td>\n",
       "      <td>-0.310923</td>\n",
       "      <td>0.540658</td>\n",
       "      <td>0.230974</td>\n",
       "      <td>0.310129</td>\n",
       "      <td>-0.079133</td>\n",
       "      <td>-0.200801</td>\n",
       "      <td>-0.080874</td>\n",
       "      <td>0.118030</td>\n",
       "      <td>-0.147315</td>\n",
       "      <td>0.204474</td>\n",
       "      <td>-0.136274</td>\n",
       "      <td>0.045587</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.476175</td>\n",
       "      <td>0.530546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_ciliates_chl</th>\n",
       "      <td>0.519488</td>\n",
       "      <td>-0.002909</td>\n",
       "      <td>-0.496644</td>\n",
       "      <td>0.202540</td>\n",
       "      <td>0.020982</td>\n",
       "      <td>-0.276819</td>\n",
       "      <td>0.118061</td>\n",
       "      <td>0.353918</td>\n",
       "      <td>0.241087</td>\n",
       "      <td>0.497598</td>\n",
       "      <td>-0.118026</td>\n",
       "      <td>0.512645</td>\n",
       "      <td>0.443561</td>\n",
       "      <td>0.476175</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.695994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_TChl</th>\n",
       "      <td>0.444234</td>\n",
       "      <td>0.063533</td>\n",
       "      <td>-0.212253</td>\n",
       "      <td>-0.289741</td>\n",
       "      <td>-0.240976</td>\n",
       "      <td>0.033246</td>\n",
       "      <td>-0.129198</td>\n",
       "      <td>-0.204423</td>\n",
       "      <td>-0.081157</td>\n",
       "      <td>0.432947</td>\n",
       "      <td>-0.210661</td>\n",
       "      <td>0.420431</td>\n",
       "      <td>0.863130</td>\n",
       "      <td>0.530546</td>\n",
       "      <td>0.695994</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Diatoms-1  Diatoms-2  Cyanobacteria  Cryptophytes  \\\n",
       "Diatoms-1             1.000000   0.317989      -0.316480     -0.094751   \n",
       "Diatoms-2             0.317989   1.000000      -0.189676     -0.066193   \n",
       "Cyanobacteria        -0.316480  -0.189676       1.000000     -0.027711   \n",
       "Cryptophytes         -0.094751  -0.066193      -0.027711      1.000000   \n",
       "Prasinophytes        -0.082145  -0.010867       0.027686      0.841199   \n",
       "Haptophytes          -0.450098  -0.340824       0.247459     -0.015201   \n",
       "Dictyochophytes      -0.108225   0.207454      -0.161128      0.172372   \n",
       "Dinoflagellates       0.149213   0.322972      -0.130171      0.382325   \n",
       "Raphidophytes        -0.029960  -0.115224       0.046081      0.697735   \n",
       "DD                    0.994288   0.417359      -0.324695     -0.098270   \n",
       "CCPH                 -0.385889  -0.268305       0.237790      0.731185   \n",
       "TchlA (ug/L)          0.990838   0.413600      -0.317360     -0.025866   \n",
       "mod_diatoms_chl       0.400933   0.146611      -0.310580     -0.345818   \n",
       "mod_flagellates_chl  -0.117178  -0.310923       0.540658      0.230974   \n",
       "mod_ciliates_chl      0.519488  -0.002909      -0.496644      0.202540   \n",
       "mod_TChl              0.444234   0.063533      -0.212253     -0.289741   \n",
       "\n",
       "                     Prasinophytes  Haptophytes  Dictyochophytes  \\\n",
       "Diatoms-1                -0.082145    -0.450098        -0.108225   \n",
       "Diatoms-2                -0.010867    -0.340824         0.207454   \n",
       "Cyanobacteria             0.027686     0.247459        -0.161128   \n",
       "Cryptophytes              0.841199    -0.015201         0.172372   \n",
       "Prasinophytes             1.000000    -0.045399         0.202345   \n",
       "Haptophytes              -0.045399     1.000000        -0.062038   \n",
       "Dictyochophytes           0.202345    -0.062038         1.000000   \n",
       "Dinoflagellates           0.139653    -0.219589         0.172214   \n",
       "Raphidophytes             0.511728     0.058141         0.342729   \n",
       "DD                       -0.079958    -0.469782        -0.080380   \n",
       "CCPH                      0.696377     0.639164         0.094243   \n",
       "TchlA (ug/L)             -0.018349    -0.437565        -0.062769   \n",
       "mod_diatoms_chl          -0.310100     0.073567        -0.070041   \n",
       "mod_flagellates_chl       0.310129    -0.079133        -0.200801   \n",
       "mod_ciliates_chl          0.020982    -0.276819         0.118061   \n",
       "mod_TChl                 -0.240976     0.033246        -0.129198   \n",
       "\n",
       "                     Dinoflagellates  Raphidophytes        DD      CCPH  \\\n",
       "Diatoms-1                   0.149213      -0.029960  0.994288 -0.385889   \n",
       "Diatoms-2                   0.322972      -0.115224  0.417359 -0.268305   \n",
       "Cyanobacteria              -0.130171       0.046081 -0.324695  0.237790   \n",
       "Cryptophytes                0.382325       0.697735 -0.098270  0.731185   \n",
       "Prasinophytes               0.139653       0.511728 -0.079958  0.696377   \n",
       "Haptophytes                -0.219589       0.058141 -0.469782  0.639164   \n",
       "Dictyochophytes             0.172214       0.342729 -0.080380  0.094243   \n",
       "Dinoflagellates             1.000000       0.329988  0.179376  0.071665   \n",
       "Raphidophytes               0.329988       1.000000 -0.041687  0.534440   \n",
       "DD                          0.179376      -0.041687  1.000000 -0.400075   \n",
       "CCPH                        0.071665       0.534440 -0.400075  1.000000   \n",
       "TchlA (ug/L)                0.218614       0.021183  0.996269 -0.324772   \n",
       "mod_diatoms_chl            -0.190539      -0.125778  0.400795 -0.241984   \n",
       "mod_flagellates_chl        -0.080874       0.118030 -0.147315  0.204474   \n",
       "mod_ciliates_chl            0.353918       0.241087  0.497598 -0.118026   \n",
       "mod_TChl                   -0.204423      -0.081157  0.432947 -0.210661   \n",
       "\n",
       "                     TchlA (ug/L)  mod_diatoms_chl  mod_flagellates_chl  \\\n",
       "Diatoms-1                0.990838         0.400933            -0.117178   \n",
       "Diatoms-2                0.413600         0.146611            -0.310923   \n",
       "Cyanobacteria           -0.317360        -0.310580             0.540658   \n",
       "Cryptophytes            -0.025866        -0.345818             0.230974   \n",
       "Prasinophytes           -0.018349        -0.310100             0.310129   \n",
       "Haptophytes             -0.437565         0.073567            -0.079133   \n",
       "Dictyochophytes         -0.062769        -0.070041            -0.200801   \n",
       "Dinoflagellates          0.218614        -0.190539            -0.080874   \n",
       "Raphidophytes            0.021183        -0.125778             0.118030   \n",
       "DD                       0.996269         0.400795            -0.147315   \n",
       "CCPH                    -0.324772        -0.241984             0.204474   \n",
       "TchlA (ug/L)             1.000000         0.385083            -0.136274   \n",
       "mod_diatoms_chl          0.385083         1.000000             0.045587   \n",
       "mod_flagellates_chl     -0.136274         0.045587             1.000000   \n",
       "mod_ciliates_chl         0.512645         0.443561             0.476175   \n",
       "mod_TChl                 0.420431         0.863130             0.530546   \n",
       "\n",
       "                     mod_ciliates_chl  mod_TChl  \n",
       "Diatoms-1                    0.519488  0.444234  \n",
       "Diatoms-2                   -0.002909  0.063533  \n",
       "Cyanobacteria               -0.496644 -0.212253  \n",
       "Cryptophytes                 0.202540 -0.289741  \n",
       "Prasinophytes                0.020982 -0.240976  \n",
       "Haptophytes                 -0.276819  0.033246  \n",
       "Dictyochophytes              0.118061 -0.129198  \n",
       "Dinoflagellates              0.353918 -0.204423  \n",
       "Raphidophytes                0.241087 -0.081157  \n",
       "DD                           0.497598  0.432947  \n",
       "CCPH                        -0.118026 -0.210661  \n",
       "TchlA (ug/L)                 0.512645  0.420431  \n",
       "mod_diatoms_chl              0.443561  0.863130  \n",
       "mod_flagellates_chl          0.476175  0.530546  \n",
       "mod_ciliates_chl             1.000000  0.695994  \n",
       "mod_TChl                     0.695994  1.000000  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfVars.corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.029866,
     "end_time": "2020-11-16T18:41:51.750205",
     "exception": false,
     "start_time": "2020-11-16T18:41:51.720339",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Cov matrix with log transformed values:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "papermill": {
     "duration": 0.055596,
     "end_time": "2020-11-16T18:41:51.835249",
     "exception": false,
     "start_time": "2020-11-16T18:41:51.779653",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Diatoms-1</th>\n",
       "      <th>Diatoms-2</th>\n",
       "      <th>Cyanobacteria</th>\n",
       "      <th>Cryptophytes</th>\n",
       "      <th>Prasinophytes</th>\n",
       "      <th>Haptophytes</th>\n",
       "      <th>Dictyochophytes</th>\n",
       "      <th>Dinoflagellates</th>\n",
       "      <th>Raphidophytes</th>\n",
       "      <th>CCPH</th>\n",
       "      <th>TchlA (ug/L)</th>\n",
       "      <th>mod_diatoms_chl</th>\n",
       "      <th>mod_flagellates_chl</th>\n",
       "      <th>mod_ciliates_chl</th>\n",
       "      <th>mod_TChl</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Diatoms-1</th>\n",
       "      <td>1.976083</td>\n",
       "      <td>0.535597</td>\n",
       "      <td>-0.660378</td>\n",
       "      <td>-0.168929</td>\n",
       "      <td>0.026764</td>\n",
       "      <td>-0.812395</td>\n",
       "      <td>0.119630</td>\n",
       "      <td>0.614425</td>\n",
       "      <td>-0.010371</td>\n",
       "      <td>-0.281929</td>\n",
       "      <td>0.539512</td>\n",
       "      <td>0.717853</td>\n",
       "      <td>-0.148855</td>\n",
       "      <td>0.157444</td>\n",
       "      <td>0.108396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Diatoms-2</th>\n",
       "      <td>0.535597</td>\n",
       "      <td>1.519169</td>\n",
       "      <td>-0.198741</td>\n",
       "      <td>0.023919</td>\n",
       "      <td>-0.139647</td>\n",
       "      <td>-0.145591</td>\n",
       "      <td>0.077954</td>\n",
       "      <td>0.437530</td>\n",
       "      <td>-0.046834</td>\n",
       "      <td>-0.127809</td>\n",
       "      <td>0.200914</td>\n",
       "      <td>0.373632</td>\n",
       "      <td>-0.258709</td>\n",
       "      <td>0.004872</td>\n",
       "      <td>-0.022009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cyanobacteria</th>\n",
       "      <td>-0.660378</td>\n",
       "      <td>-0.198741</td>\n",
       "      <td>0.521108</td>\n",
       "      <td>0.164164</td>\n",
       "      <td>0.258076</td>\n",
       "      <td>0.212388</td>\n",
       "      <td>-0.127833</td>\n",
       "      <td>-0.074596</td>\n",
       "      <td>0.155304</td>\n",
       "      <td>0.095186</td>\n",
       "      <td>-0.146920</td>\n",
       "      <td>-0.452075</td>\n",
       "      <td>0.184749</td>\n",
       "      <td>-0.069971</td>\n",
       "      <td>-0.064728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cryptophytes</th>\n",
       "      <td>-0.168929</td>\n",
       "      <td>0.023919</td>\n",
       "      <td>0.164164</td>\n",
       "      <td>0.661769</td>\n",
       "      <td>0.392504</td>\n",
       "      <td>0.015855</td>\n",
       "      <td>0.007877</td>\n",
       "      <td>0.369475</td>\n",
       "      <td>0.185385</td>\n",
       "      <td>0.202037</td>\n",
       "      <td>-0.008188</td>\n",
       "      <td>-0.306478</td>\n",
       "      <td>0.120815</td>\n",
       "      <td>-0.008416</td>\n",
       "      <td>-0.089408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Prasinophytes</th>\n",
       "      <td>0.026764</td>\n",
       "      <td>-0.139647</td>\n",
       "      <td>0.258076</td>\n",
       "      <td>0.392504</td>\n",
       "      <td>0.824198</td>\n",
       "      <td>-0.098904</td>\n",
       "      <td>-0.091532</td>\n",
       "      <td>0.255784</td>\n",
       "      <td>0.229482</td>\n",
       "      <td>0.163989</td>\n",
       "      <td>0.104734</td>\n",
       "      <td>-0.386974</td>\n",
       "      <td>0.250364</td>\n",
       "      <td>-0.008323</td>\n",
       "      <td>-0.068721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Haptophytes</th>\n",
       "      <td>-0.812395</td>\n",
       "      <td>-0.145591</td>\n",
       "      <td>0.212388</td>\n",
       "      <td>0.015855</td>\n",
       "      <td>-0.098904</td>\n",
       "      <td>1.092189</td>\n",
       "      <td>0.097924</td>\n",
       "      <td>-0.163706</td>\n",
       "      <td>0.033368</td>\n",
       "      <td>0.253804</td>\n",
       "      <td>-0.254894</td>\n",
       "      <td>-0.076754</td>\n",
       "      <td>-0.049419</td>\n",
       "      <td>-0.044352</td>\n",
       "      <td>0.013942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dictyochophytes</th>\n",
       "      <td>0.119630</td>\n",
       "      <td>0.077954</td>\n",
       "      <td>-0.127833</td>\n",
       "      <td>0.007877</td>\n",
       "      <td>-0.091532</td>\n",
       "      <td>0.097924</td>\n",
       "      <td>0.427019</td>\n",
       "      <td>0.171508</td>\n",
       "      <td>0.056185</td>\n",
       "      <td>0.020216</td>\n",
       "      <td>0.000988</td>\n",
       "      <td>0.149039</td>\n",
       "      <td>-0.099587</td>\n",
       "      <td>0.013270</td>\n",
       "      <td>-0.009610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dinoflagellates</th>\n",
       "      <td>0.614425</td>\n",
       "      <td>0.437530</td>\n",
       "      <td>-0.074596</td>\n",
       "      <td>0.369475</td>\n",
       "      <td>0.255784</td>\n",
       "      <td>-0.163706</td>\n",
       "      <td>0.171508</td>\n",
       "      <td>1.016234</td>\n",
       "      <td>0.212540</td>\n",
       "      <td>0.051399</td>\n",
       "      <td>0.228567</td>\n",
       "      <td>0.055450</td>\n",
       "      <td>-0.022470</td>\n",
       "      <td>0.065792</td>\n",
       "      <td>-0.070045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Raphidophytes</th>\n",
       "      <td>-0.010371</td>\n",
       "      <td>-0.046834</td>\n",
       "      <td>0.155304</td>\n",
       "      <td>0.185385</td>\n",
       "      <td>0.229482</td>\n",
       "      <td>0.033368</td>\n",
       "      <td>0.056185</td>\n",
       "      <td>0.212540</td>\n",
       "      <td>0.738868</td>\n",
       "      <td>0.051764</td>\n",
       "      <td>0.041536</td>\n",
       "      <td>-0.173360</td>\n",
       "      <td>0.118092</td>\n",
       "      <td>-0.001728</td>\n",
       "      <td>-0.044851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CCPH</th>\n",
       "      <td>-0.281929</td>\n",
       "      <td>-0.127809</td>\n",
       "      <td>0.095186</td>\n",
       "      <td>0.202037</td>\n",
       "      <td>0.163989</td>\n",
       "      <td>0.253804</td>\n",
       "      <td>0.020216</td>\n",
       "      <td>0.051399</td>\n",
       "      <td>0.051764</td>\n",
       "      <td>0.178400</td>\n",
       "      <td>-0.064155</td>\n",
       "      <td>-0.138162</td>\n",
       "      <td>0.055391</td>\n",
       "      <td>-0.006072</td>\n",
       "      <td>-0.023081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TchlA (ug/L)</th>\n",
       "      <td>0.539512</td>\n",
       "      <td>0.200914</td>\n",
       "      <td>-0.146920</td>\n",
       "      <td>-0.008188</td>\n",
       "      <td>0.104734</td>\n",
       "      <td>-0.254894</td>\n",
       "      <td>0.000988</td>\n",
       "      <td>0.228567</td>\n",
       "      <td>0.041536</td>\n",
       "      <td>-0.064155</td>\n",
       "      <td>0.238552</td>\n",
       "      <td>0.174751</td>\n",
       "      <td>-0.019399</td>\n",
       "      <td>0.045729</td>\n",
       "      <td>0.030395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_diatoms_chl</th>\n",
       "      <td>0.717853</td>\n",
       "      <td>0.373632</td>\n",
       "      <td>-0.452075</td>\n",
       "      <td>-0.306478</td>\n",
       "      <td>-0.386974</td>\n",
       "      <td>-0.076754</td>\n",
       "      <td>0.149039</td>\n",
       "      <td>0.055450</td>\n",
       "      <td>-0.173360</td>\n",
       "      <td>-0.138162</td>\n",
       "      <td>0.174751</td>\n",
       "      <td>1.356954</td>\n",
       "      <td>0.677039</td>\n",
       "      <td>0.727364</td>\n",
       "      <td>0.909765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_flagellates_chl</th>\n",
       "      <td>-0.148855</td>\n",
       "      <td>-0.258709</td>\n",
       "      <td>0.184749</td>\n",
       "      <td>0.120815</td>\n",
       "      <td>0.250364</td>\n",
       "      <td>-0.049419</td>\n",
       "      <td>-0.099587</td>\n",
       "      <td>-0.022470</td>\n",
       "      <td>0.118092</td>\n",
       "      <td>0.055391</td>\n",
       "      <td>-0.019399</td>\n",
       "      <td>0.677039</td>\n",
       "      <td>0.665416</td>\n",
       "      <td>0.596006</td>\n",
       "      <td>0.713559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_ciliates_chl</th>\n",
       "      <td>0.157444</td>\n",
       "      <td>0.004872</td>\n",
       "      <td>-0.069971</td>\n",
       "      <td>-0.008416</td>\n",
       "      <td>-0.008323</td>\n",
       "      <td>-0.044352</td>\n",
       "      <td>0.013270</td>\n",
       "      <td>0.065792</td>\n",
       "      <td>-0.001728</td>\n",
       "      <td>-0.006072</td>\n",
       "      <td>0.045729</td>\n",
       "      <td>0.727364</td>\n",
       "      <td>0.596006</td>\n",
       "      <td>0.647701</td>\n",
       "      <td>0.724938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_TChl</th>\n",
       "      <td>0.108396</td>\n",
       "      <td>-0.022009</td>\n",
       "      <td>-0.064728</td>\n",
       "      <td>-0.089408</td>\n",
       "      <td>-0.068721</td>\n",
       "      <td>0.013942</td>\n",
       "      <td>-0.009610</td>\n",
       "      <td>-0.070045</td>\n",
       "      <td>-0.044851</td>\n",
       "      <td>-0.023081</td>\n",
       "      <td>0.030395</td>\n",
       "      <td>0.909765</td>\n",
       "      <td>0.713559</td>\n",
       "      <td>0.724938</td>\n",
       "      <td>0.862120</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Diatoms-1  Diatoms-2  Cyanobacteria  Cryptophytes  \\\n",
       "Diatoms-1             1.976083   0.535597      -0.660378     -0.168929   \n",
       "Diatoms-2             0.535597   1.519169      -0.198741      0.023919   \n",
       "Cyanobacteria        -0.660378  -0.198741       0.521108      0.164164   \n",
       "Cryptophytes         -0.168929   0.023919       0.164164      0.661769   \n",
       "Prasinophytes         0.026764  -0.139647       0.258076      0.392504   \n",
       "Haptophytes          -0.812395  -0.145591       0.212388      0.015855   \n",
       "Dictyochophytes       0.119630   0.077954      -0.127833      0.007877   \n",
       "Dinoflagellates       0.614425   0.437530      -0.074596      0.369475   \n",
       "Raphidophytes        -0.010371  -0.046834       0.155304      0.185385   \n",
       "CCPH                 -0.281929  -0.127809       0.095186      0.202037   \n",
       "TchlA (ug/L)          0.539512   0.200914      -0.146920     -0.008188   \n",
       "mod_diatoms_chl       0.717853   0.373632      -0.452075     -0.306478   \n",
       "mod_flagellates_chl  -0.148855  -0.258709       0.184749      0.120815   \n",
       "mod_ciliates_chl      0.157444   0.004872      -0.069971     -0.008416   \n",
       "mod_TChl              0.108396  -0.022009      -0.064728     -0.089408   \n",
       "\n",
       "                     Prasinophytes  Haptophytes  Dictyochophytes  \\\n",
       "Diatoms-1                 0.026764    -0.812395         0.119630   \n",
       "Diatoms-2                -0.139647    -0.145591         0.077954   \n",
       "Cyanobacteria             0.258076     0.212388        -0.127833   \n",
       "Cryptophytes              0.392504     0.015855         0.007877   \n",
       "Prasinophytes             0.824198    -0.098904        -0.091532   \n",
       "Haptophytes              -0.098904     1.092189         0.097924   \n",
       "Dictyochophytes          -0.091532     0.097924         0.427019   \n",
       "Dinoflagellates           0.255784    -0.163706         0.171508   \n",
       "Raphidophytes             0.229482     0.033368         0.056185   \n",
       "CCPH                      0.163989     0.253804         0.020216   \n",
       "TchlA (ug/L)              0.104734    -0.254894         0.000988   \n",
       "mod_diatoms_chl          -0.386974    -0.076754         0.149039   \n",
       "mod_flagellates_chl       0.250364    -0.049419        -0.099587   \n",
       "mod_ciliates_chl         -0.008323    -0.044352         0.013270   \n",
       "mod_TChl                 -0.068721     0.013942        -0.009610   \n",
       "\n",
       "                     Dinoflagellates  Raphidophytes      CCPH  TchlA (ug/L)  \\\n",
       "Diatoms-1                   0.614425      -0.010371 -0.281929      0.539512   \n",
       "Diatoms-2                   0.437530      -0.046834 -0.127809      0.200914   \n",
       "Cyanobacteria              -0.074596       0.155304  0.095186     -0.146920   \n",
       "Cryptophytes                0.369475       0.185385  0.202037     -0.008188   \n",
       "Prasinophytes               0.255784       0.229482  0.163989      0.104734   \n",
       "Haptophytes                -0.163706       0.033368  0.253804     -0.254894   \n",
       "Dictyochophytes             0.171508       0.056185  0.020216      0.000988   \n",
       "Dinoflagellates             1.016234       0.212540  0.051399      0.228567   \n",
       "Raphidophytes               0.212540       0.738868  0.051764      0.041536   \n",
       "CCPH                        0.051399       0.051764  0.178400     -0.064155   \n",
       "TchlA (ug/L)                0.228567       0.041536 -0.064155      0.238552   \n",
       "mod_diatoms_chl             0.055450      -0.173360 -0.138162      0.174751   \n",
       "mod_flagellates_chl        -0.022470       0.118092  0.055391     -0.019399   \n",
       "mod_ciliates_chl            0.065792      -0.001728 -0.006072      0.045729   \n",
       "mod_TChl                   -0.070045      -0.044851 -0.023081      0.030395   \n",
       "\n",
       "                     mod_diatoms_chl  mod_flagellates_chl  mod_ciliates_chl  \\\n",
       "Diatoms-1                   0.717853            -0.148855          0.157444   \n",
       "Diatoms-2                   0.373632            -0.258709          0.004872   \n",
       "Cyanobacteria              -0.452075             0.184749         -0.069971   \n",
       "Cryptophytes               -0.306478             0.120815         -0.008416   \n",
       "Prasinophytes              -0.386974             0.250364         -0.008323   \n",
       "Haptophytes                -0.076754            -0.049419         -0.044352   \n",
       "Dictyochophytes             0.149039            -0.099587          0.013270   \n",
       "Dinoflagellates             0.055450            -0.022470          0.065792   \n",
       "Raphidophytes              -0.173360             0.118092         -0.001728   \n",
       "CCPH                       -0.138162             0.055391         -0.006072   \n",
       "TchlA (ug/L)                0.174751            -0.019399          0.045729   \n",
       "mod_diatoms_chl             1.356954             0.677039          0.727364   \n",
       "mod_flagellates_chl         0.677039             0.665416          0.596006   \n",
       "mod_ciliates_chl            0.727364             0.596006          0.647701   \n",
       "mod_TChl                    0.909765             0.713559          0.724938   \n",
       "\n",
       "                     mod_TChl  \n",
       "Diatoms-1            0.108396  \n",
       "Diatoms-2           -0.022009  \n",
       "Cyanobacteria       -0.064728  \n",
       "Cryptophytes        -0.089408  \n",
       "Prasinophytes       -0.068721  \n",
       "Haptophytes          0.013942  \n",
       "Dictyochophytes     -0.009610  \n",
       "Dinoflagellates     -0.070045  \n",
       "Raphidophytes       -0.044851  \n",
       "CCPH                -0.023081  \n",
       "TchlA (ug/L)         0.030395  \n",
       "mod_diatoms_chl      0.909765  \n",
       "mod_flagellates_chl  0.713559  \n",
       "mod_ciliates_chl     0.724938  \n",
       "mod_TChl             0.862120  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dflog=pd.DataFrame()\n",
    "for el in ['Diatoms-1', 'Diatoms-2','Cyanobacteria','Cryptophytes', 'Prasinophytes', \n",
    "       'Haptophytes',  'Dictyochophytes','Dinoflagellates','Raphidophytes','CCPH','TchlA (ug/L)',\n",
    "                   'mod_diatoms_chl','mod_flagellates_chl','mod_ciliates_chl','mod_TChl']:\n",
    "    dflog[el]=logt(data[el])\n",
    "dflog.cov()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.030511,
     "end_time": "2020-11-16T18:41:51.896758",
     "exception": false,
     "start_time": "2020-11-16T18:41:51.866247",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Corr Coeff matrix with log transformed values:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "papermill": {
     "duration": 0.056702,
     "end_time": "2020-11-16T18:41:51.984530",
     "exception": false,
     "start_time": "2020-11-16T18:41:51.927828",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Diatoms-1</th>\n",
       "      <th>Diatoms-2</th>\n",
       "      <th>Cyanobacteria</th>\n",
       "      <th>Cryptophytes</th>\n",
       "      <th>Prasinophytes</th>\n",
       "      <th>Haptophytes</th>\n",
       "      <th>Dictyochophytes</th>\n",
       "      <th>Dinoflagellates</th>\n",
       "      <th>Raphidophytes</th>\n",
       "      <th>CCPH</th>\n",
       "      <th>TchlA (ug/L)</th>\n",
       "      <th>mod_diatoms_chl</th>\n",
       "      <th>mod_flagellates_chl</th>\n",
       "      <th>mod_ciliates_chl</th>\n",
       "      <th>mod_TChl</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Diatoms-1</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.309124</td>\n",
       "      <td>-0.650768</td>\n",
       "      <td>-0.147723</td>\n",
       "      <td>0.020972</td>\n",
       "      <td>-0.552988</td>\n",
       "      <td>0.130231</td>\n",
       "      <td>0.433580</td>\n",
       "      <td>-0.008583</td>\n",
       "      <td>-0.474831</td>\n",
       "      <td>0.785792</td>\n",
       "      <td>0.598524</td>\n",
       "      <td>-0.235928</td>\n",
       "      <td>0.594838</td>\n",
       "      <td>0.283614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Diatoms-2</th>\n",
       "      <td>0.309124</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.223368</td>\n",
       "      <td>0.023855</td>\n",
       "      <td>-0.124800</td>\n",
       "      <td>-0.113027</td>\n",
       "      <td>0.096786</td>\n",
       "      <td>0.352134</td>\n",
       "      <td>-0.044205</td>\n",
       "      <td>-0.245506</td>\n",
       "      <td>0.333745</td>\n",
       "      <td>0.355295</td>\n",
       "      <td>-0.467658</td>\n",
       "      <td>0.020995</td>\n",
       "      <td>-0.065677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cyanobacteria</th>\n",
       "      <td>-0.650768</td>\n",
       "      <td>-0.223368</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.279552</td>\n",
       "      <td>0.393793</td>\n",
       "      <td>0.281525</td>\n",
       "      <td>-0.270992</td>\n",
       "      <td>-0.102507</td>\n",
       "      <td>0.250285</td>\n",
       "      <td>0.312186</td>\n",
       "      <td>-0.416701</td>\n",
       "      <td>-0.733998</td>\n",
       "      <td>0.570215</td>\n",
       "      <td>-0.514787</td>\n",
       "      <td>-0.329794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cryptophytes</th>\n",
       "      <td>-0.147723</td>\n",
       "      <td>0.023855</td>\n",
       "      <td>0.279552</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.531465</td>\n",
       "      <td>0.018650</td>\n",
       "      <td>0.014817</td>\n",
       "      <td>0.450541</td>\n",
       "      <td>0.265117</td>\n",
       "      <td>0.588004</td>\n",
       "      <td>-0.020608</td>\n",
       "      <td>-0.441565</td>\n",
       "      <td>0.330893</td>\n",
       "      <td>-0.054945</td>\n",
       "      <td>-0.404241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Prasinophytes</th>\n",
       "      <td>0.020972</td>\n",
       "      <td>-0.124800</td>\n",
       "      <td>0.393793</td>\n",
       "      <td>0.531465</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.104243</td>\n",
       "      <td>-0.154289</td>\n",
       "      <td>0.279486</td>\n",
       "      <td>0.294069</td>\n",
       "      <td>0.427664</td>\n",
       "      <td>0.236199</td>\n",
       "      <td>-0.499591</td>\n",
       "      <td>0.614435</td>\n",
       "      <td>-0.048692</td>\n",
       "      <td>-0.278414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Haptophytes</th>\n",
       "      <td>-0.552988</td>\n",
       "      <td>-0.113027</td>\n",
       "      <td>0.281525</td>\n",
       "      <td>0.018650</td>\n",
       "      <td>-0.104243</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.143389</td>\n",
       "      <td>-0.155388</td>\n",
       "      <td>0.037145</td>\n",
       "      <td>0.574978</td>\n",
       "      <td>-0.499367</td>\n",
       "      <td>-0.086080</td>\n",
       "      <td>-0.105357</td>\n",
       "      <td>-0.225390</td>\n",
       "      <td>0.049067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dictyochophytes</th>\n",
       "      <td>0.130231</td>\n",
       "      <td>0.096786</td>\n",
       "      <td>-0.270992</td>\n",
       "      <td>0.014817</td>\n",
       "      <td>-0.154289</td>\n",
       "      <td>0.143389</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.260355</td>\n",
       "      <td>0.100026</td>\n",
       "      <td>0.073245</td>\n",
       "      <td>0.003095</td>\n",
       "      <td>0.267316</td>\n",
       "      <td>-0.339547</td>\n",
       "      <td>0.107849</td>\n",
       "      <td>-0.054088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dinoflagellates</th>\n",
       "      <td>0.433580</td>\n",
       "      <td>0.352134</td>\n",
       "      <td>-0.102507</td>\n",
       "      <td>0.450541</td>\n",
       "      <td>0.279486</td>\n",
       "      <td>-0.155388</td>\n",
       "      <td>0.260355</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.245280</td>\n",
       "      <td>0.120715</td>\n",
       "      <td>0.464223</td>\n",
       "      <td>0.064469</td>\n",
       "      <td>-0.049662</td>\n",
       "      <td>0.346618</td>\n",
       "      <td>-0.255564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Raphidophytes</th>\n",
       "      <td>-0.008583</td>\n",
       "      <td>-0.044205</td>\n",
       "      <td>0.250285</td>\n",
       "      <td>0.265117</td>\n",
       "      <td>0.294069</td>\n",
       "      <td>0.037145</td>\n",
       "      <td>0.100026</td>\n",
       "      <td>0.245280</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.142576</td>\n",
       "      <td>0.098934</td>\n",
       "      <td>-0.236381</td>\n",
       "      <td>0.306094</td>\n",
       "      <td>-0.010675</td>\n",
       "      <td>-0.191914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CCPH</th>\n",
       "      <td>-0.474831</td>\n",
       "      <td>-0.245506</td>\n",
       "      <td>0.312186</td>\n",
       "      <td>0.588004</td>\n",
       "      <td>0.427664</td>\n",
       "      <td>0.574978</td>\n",
       "      <td>0.073245</td>\n",
       "      <td>0.120715</td>\n",
       "      <td>0.142576</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.310989</td>\n",
       "      <td>-0.383390</td>\n",
       "      <td>0.292186</td>\n",
       "      <td>-0.076349</td>\n",
       "      <td>-0.200992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TchlA (ug/L)</th>\n",
       "      <td>0.785792</td>\n",
       "      <td>0.333745</td>\n",
       "      <td>-0.416701</td>\n",
       "      <td>-0.020608</td>\n",
       "      <td>0.236199</td>\n",
       "      <td>-0.499367</td>\n",
       "      <td>0.003095</td>\n",
       "      <td>0.464223</td>\n",
       "      <td>0.098934</td>\n",
       "      <td>-0.310989</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.419350</td>\n",
       "      <td>-0.088494</td>\n",
       "      <td>0.497246</td>\n",
       "      <td>0.228892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_diatoms_chl</th>\n",
       "      <td>0.598524</td>\n",
       "      <td>0.355295</td>\n",
       "      <td>-0.733998</td>\n",
       "      <td>-0.441565</td>\n",
       "      <td>-0.499591</td>\n",
       "      <td>-0.086080</td>\n",
       "      <td>0.267316</td>\n",
       "      <td>0.064469</td>\n",
       "      <td>-0.236381</td>\n",
       "      <td>-0.383390</td>\n",
       "      <td>0.419350</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.712500</td>\n",
       "      <td>0.775858</td>\n",
       "      <td>0.841130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_flagellates_chl</th>\n",
       "      <td>-0.235928</td>\n",
       "      <td>-0.467658</td>\n",
       "      <td>0.570215</td>\n",
       "      <td>0.330893</td>\n",
       "      <td>0.614435</td>\n",
       "      <td>-0.105357</td>\n",
       "      <td>-0.339547</td>\n",
       "      <td>-0.049662</td>\n",
       "      <td>0.306094</td>\n",
       "      <td>0.292186</td>\n",
       "      <td>-0.088494</td>\n",
       "      <td>0.712500</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.907856</td>\n",
       "      <td>0.942105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_ciliates_chl</th>\n",
       "      <td>0.594838</td>\n",
       "      <td>0.020995</td>\n",
       "      <td>-0.514787</td>\n",
       "      <td>-0.054945</td>\n",
       "      <td>-0.048692</td>\n",
       "      <td>-0.225390</td>\n",
       "      <td>0.107849</td>\n",
       "      <td>0.346618</td>\n",
       "      <td>-0.010675</td>\n",
       "      <td>-0.076349</td>\n",
       "      <td>0.497246</td>\n",
       "      <td>0.775858</td>\n",
       "      <td>0.907856</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.970130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mod_TChl</th>\n",
       "      <td>0.283614</td>\n",
       "      <td>-0.065677</td>\n",
       "      <td>-0.329794</td>\n",
       "      <td>-0.404241</td>\n",
       "      <td>-0.278414</td>\n",
       "      <td>0.049067</td>\n",
       "      <td>-0.054088</td>\n",
       "      <td>-0.255564</td>\n",
       "      <td>-0.191914</td>\n",
       "      <td>-0.200992</td>\n",
       "      <td>0.228892</td>\n",
       "      <td>0.841130</td>\n",
       "      <td>0.942105</td>\n",
       "      <td>0.970130</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Diatoms-1  Diatoms-2  Cyanobacteria  Cryptophytes  \\\n",
       "Diatoms-1             1.000000   0.309124      -0.650768     -0.147723   \n",
       "Diatoms-2             0.309124   1.000000      -0.223368      0.023855   \n",
       "Cyanobacteria        -0.650768  -0.223368       1.000000      0.279552   \n",
       "Cryptophytes         -0.147723   0.023855       0.279552      1.000000   \n",
       "Prasinophytes         0.020972  -0.124800       0.393793      0.531465   \n",
       "Haptophytes          -0.552988  -0.113027       0.281525      0.018650   \n",
       "Dictyochophytes       0.130231   0.096786      -0.270992      0.014817   \n",
       "Dinoflagellates       0.433580   0.352134      -0.102507      0.450541   \n",
       "Raphidophytes        -0.008583  -0.044205       0.250285      0.265117   \n",
       "CCPH                 -0.474831  -0.245506       0.312186      0.588004   \n",
       "TchlA (ug/L)          0.785792   0.333745      -0.416701     -0.020608   \n",
       "mod_diatoms_chl       0.598524   0.355295      -0.733998     -0.441565   \n",
       "mod_flagellates_chl  -0.235928  -0.467658       0.570215      0.330893   \n",
       "mod_ciliates_chl      0.594838   0.020995      -0.514787     -0.054945   \n",
       "mod_TChl              0.283614  -0.065677      -0.329794     -0.404241   \n",
       "\n",
       "                     Prasinophytes  Haptophytes  Dictyochophytes  \\\n",
       "Diatoms-1                 0.020972    -0.552988         0.130231   \n",
       "Diatoms-2                -0.124800    -0.113027         0.096786   \n",
       "Cyanobacteria             0.393793     0.281525        -0.270992   \n",
       "Cryptophytes              0.531465     0.018650         0.014817   \n",
       "Prasinophytes             1.000000    -0.104243        -0.154289   \n",
       "Haptophytes              -0.104243     1.000000         0.143389   \n",
       "Dictyochophytes          -0.154289     0.143389         1.000000   \n",
       "Dinoflagellates           0.279486    -0.155388         0.260355   \n",
       "Raphidophytes             0.294069     0.037145         0.100026   \n",
       "CCPH                      0.427664     0.574978         0.073245   \n",
       "TchlA (ug/L)              0.236199    -0.499367         0.003095   \n",
       "mod_diatoms_chl          -0.499591    -0.086080         0.267316   \n",
       "mod_flagellates_chl       0.614435    -0.105357        -0.339547   \n",
       "mod_ciliates_chl         -0.048692    -0.225390         0.107849   \n",
       "mod_TChl                 -0.278414     0.049067        -0.054088   \n",
       "\n",
       "                     Dinoflagellates  Raphidophytes      CCPH  TchlA (ug/L)  \\\n",
       "Diatoms-1                   0.433580      -0.008583 -0.474831      0.785792   \n",
       "Diatoms-2                   0.352134      -0.044205 -0.245506      0.333745   \n",
       "Cyanobacteria              -0.102507       0.250285  0.312186     -0.416701   \n",
       "Cryptophytes                0.450541       0.265117  0.588004     -0.020608   \n",
       "Prasinophytes               0.279486       0.294069  0.427664      0.236199   \n",
       "Haptophytes                -0.155388       0.037145  0.574978     -0.499367   \n",
       "Dictyochophytes             0.260355       0.100026  0.073245      0.003095   \n",
       "Dinoflagellates             1.000000       0.245280  0.120715      0.464223   \n",
       "Raphidophytes               0.245280       1.000000  0.142576      0.098934   \n",
       "CCPH                        0.120715       0.142576  1.000000     -0.310989   \n",
       "TchlA (ug/L)                0.464223       0.098934 -0.310989      1.000000   \n",
       "mod_diatoms_chl             0.064469      -0.236381 -0.383390      0.419350   \n",
       "mod_flagellates_chl        -0.049662       0.306094  0.292186     -0.088494   \n",
       "mod_ciliates_chl            0.346618      -0.010675 -0.076349      0.497246   \n",
       "mod_TChl                   -0.255564      -0.191914 -0.200992      0.228892   \n",
       "\n",
       "                     mod_diatoms_chl  mod_flagellates_chl  mod_ciliates_chl  \\\n",
       "Diatoms-1                   0.598524            -0.235928          0.594838   \n",
       "Diatoms-2                   0.355295            -0.467658          0.020995   \n",
       "Cyanobacteria              -0.733998             0.570215         -0.514787   \n",
       "Cryptophytes               -0.441565             0.330893         -0.054945   \n",
       "Prasinophytes              -0.499591             0.614435         -0.048692   \n",
       "Haptophytes                -0.086080            -0.105357         -0.225390   \n",
       "Dictyochophytes             0.267316            -0.339547          0.107849   \n",
       "Dinoflagellates             0.064469            -0.049662          0.346618   \n",
       "Raphidophytes              -0.236381             0.306094         -0.010675   \n",
       "CCPH                       -0.383390             0.292186         -0.076349   \n",
       "TchlA (ug/L)                0.419350            -0.088494          0.497246   \n",
       "mod_diatoms_chl             1.000000             0.712500          0.775858   \n",
       "mod_flagellates_chl         0.712500             1.000000          0.907856   \n",
       "mod_ciliates_chl            0.775858             0.907856          1.000000   \n",
       "mod_TChl                    0.841130             0.942105          0.970130   \n",
       "\n",
       "                     mod_TChl  \n",
       "Diatoms-1            0.283614  \n",
       "Diatoms-2           -0.065677  \n",
       "Cyanobacteria       -0.329794  \n",
       "Cryptophytes        -0.404241  \n",
       "Prasinophytes       -0.278414  \n",
       "Haptophytes          0.049067  \n",
       "Dictyochophytes     -0.054088  \n",
       "Dinoflagellates     -0.255564  \n",
       "Raphidophytes       -0.191914  \n",
       "CCPH                -0.200992  \n",
       "TchlA (ug/L)         0.228892  \n",
       "mod_diatoms_chl      0.841130  \n",
       "mod_flagellates_chl  0.942105  \n",
       "mod_ciliates_chl     0.970130  \n",
       "mod_TChl             1.000000  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dflog.corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.03146,
     "end_time": "2020-11-16T18:41:52.047479",
     "exception": false,
     "start_time": "2020-11-16T18:41:52.016019",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### New groups Model-Obs Comparison:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "papermill": {
     "duration": 0.465419,
     "end_time": "2020-11-16T18:41:52.544656",
     "exception": false,
     "start_time": "2020-11-16T18:41:52.079237",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7fe862251970>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAn0AAAEYCAYAAAApokC5AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjMsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+AADFEAAAgAElEQVR4nOzdd3xUVdrA8d8zk04IofcqRUEEEREFUYpUIaH3BKxrfXVXXd11XXWXXXd1XdeKsLoCiiGQhN4JHelFOgakh056Mu2e94+ZQICQTJJJZgLn+/mMZubOPffJHebkuaddUUqhaZqmaZqm3dpM3g5A0zRN0zRNK3066dM0TdM0TbsN6KRP0zRN0zTtNqCTPk3TNE3TtNuATvo0TdM0TdNuAzrp0zRN0zRNuw3opE/TNE3TNO024OftADTN14lITSABsAEOYLRSKtm7UWmapl2l6ynNHaIXZ9a0gomIGVBKKUNExgH1lFJ/9XJYmqZpV+h6SnOH7t71QSJyVER6eDkGJSKZIjKhCPsUGLcb2/8uIq8UNdbSppRyKKUM19OKwF4AEdksIq28F5l7RCRRRHJEZJ23Y9FuHbqe8i26ntLcoZO+W5iIvCgiW0XEIiLfXbetiogkuCrMYyIyKp8i2iil/njdfqNcZWaISLKILBKRzh6ItToQBXxd0rIKOEYdETlZzH3bisgm4EVgu+vlj4D3PRRbgZ9HQdsL+pwBlFLdgN94Ik5N8zRdT91wDF1PaaVGJ323ttPAX4Fv89n2BWAFagKjga8KuxoUkd8CnwB/c+3XAPgSiPBArOOAhUqpbA+UdTN9gcXF2VEptVMp9QDwJ+At18tzga4iUju/fUTkXRF5181DFPZ5FLS9oM9Z03ydrqeupesprdTopM/HichdIrJKRFJEZK+IDMizrZ2I7BCRdBGZKSIzROTKGA6lVLxSajZw8boyKwCDgT8ppTKUUutwVgxjC4ijEs6rxRdc5WYqpWxKqXlKqdfzvLWtiPwsIqmueILc/FX7AKuvO+ZREXndVV6miHwjIjVdV+3pIrJcRCq7cy5c+gILi1F2YJ4yUoEs1/nNAbYBPd38HfNV2OdR2Pabfc6aVlZ0PaXrKV1PlQ866fNhIuIPzAOWAjWAl4AfRKSFiATgnKn1HVAF+BEY6GbRzQGHUupQntd2AQVdQT8IBLmOWZBhQG+gMXAPzitjd7QGDubz+mDgMZwx9wcWAX8AquH89/uyO+fCdS67AMuKUrbrfe1EZI2IrAReAT7MU8Z+oI2bv+PNFPZ5FOfz0rQyoespQNdT7mzXfIBessW3dQRCgQ9cA3QTRWQ+MBJIxPn5faqcU7DjRWSzm+WG4rwSzCsV5+Dfm6kKXFBK2Qsp+1Ol1GkAEZkHtHUzpnAgPZ/XP1NKnXWVtxY4p5Ta4XqeAHTHeZ4KOxddgF1KqbzHcKdslFI/ufbPTzqQb7dJERT2eRTn89K0sqLrKV1PubNd8wE66fNtdYATeWZkARwD6rq2nVLXrrlzws1yM4Cw614LI//KLNdFoJqI+BVSoZ7J83OWK053XCb/yuFsnp+z83keinvn4kqXSRHLLkxFICX3ieuPXe6A8SDXa7kz/dYppR7Pp4zCPo/ifF6aVlZ0PaXrKXe2az5Ad+/6ttNAfRHJ+zk1AE4ByUBdEZE82+q7We4hwE9EmuV5rQ2uKf438ROQA0S6eYyi+hln90BxuHMu+gILill+Qe7C2YUBgFLqcaVUuFIqHPgAZ+tHuOuRX0UKhX8exfm8NK2s6HrKPbqe0rxOJ32+bROQCbwhIv4i8ijOMR0xOCs3B/CiiPiJSATQIe/OrteDADNgFpEg1xVwJhAPvC8iFUSkE86ZbdNuFohSKhV4B/hCRCJFJMQVUx8R+acHfteFwCPF3LfAcyEijYFApdSBkod5lWvg9H1cO/6myAr7PArbfrPPuSQxaVoR6HrKPbqe0vWU1+mkz4cppazAAJwzxi7gXHYgSil1wLVtEPAkzmb7McB8wJKniLdxNv+/6dqe7XoN4HkgGDiHc0Dxc0qpAq/IlFIfA791lXEeZ9fEi8Dskv6uwFSgr4gEF3VHN85FP27sMvGEAcCq3LFBReGaffeHPC8V9nkUtL2gz1nTSpWup9yj6yldT/kCfRu2W4g4F+WcqJT6nwfKysFZGX2qlPpTiYNz75h/wzlI+RMPlHXlXIjIQuBzpZRHK1TXMZ5USu3xZLmeJiLLcA4i36yU6u7teLTbm66nrilL11Muup4qGzrpK8dE5BGcywdcwLkQ5kSgiboNb7Jd0LkQkTdwzoArzQVVNU3Lh66nrtL1lOZtuj+9fGsBxOKcvXUYGHI7VqQuNz0XSilPjOXRNK14dD11la6nNK/yWkufiNTHOT6iFmAAk5RS//FKMJqmaZqmabc4byZ9tYHaSqntIlIR521iIpVS+7wSkKZpmqZp2i3Ma7N3lVLJSqntrp/Tcd4mpq634tE0TdM0TbuV+cSYPhFpBNyLc72n67c9AzwDUKFChfvuvPPOMo1N025nWVlZpKamYjabqVy5Mv7+/t4OKV82m40jR46QkZEBzttwVfd2TGWhWrVqqlGjRt4OQ9MKZLFYuHTpEv7+/lStWpVr16f2PsMwSEpKIj09vVh1R9smfio9271e0yNnjCVKqd5FDtJDvJ70iUgoEAe8opRKu367UmoSMAmgffv2auvWrWUcoabdfhwOB0uXLmXz5s00adKEIUOGEBxc5KXJysS2bduIjIzE4XAwffp0Ro0adczbMZWVRo0aoetEzZclJSURExNDjRo1iIqKIigoyNshXSM7O5v+/fvnXjAWq+5Iz1b8bVwFt9474oP0asU5hqd4dXFmEfHHmfD9oJSK92YsmqY5ZWVl8f3337N582Y6duzI6NGjfTbhmz59Op07d0ZEWLduHSNHjvR2SJqmuRw+fJiYmBiqV6/O2LFjfS7hy8nJITIyksTERL777rtil6MAu8m9h7d5LQTX/Qe/Afa7VlDXNM3Lzp49y+TJkzlx4gSRkZH06tULk8kHaqrrOBwO3njjDUaPHs3999/P1q1badeunbfD0jTN5ddffyUmJoZq1aoxduxYn7twtFgsDBw4kGXLlvHNN98QFRVV7LIUYIh7D2/zZvduJ2AssFtEdrpe+4OnVyPXNM09+/btY/bs2QQFBTF+/Hjq1vXNeVWXL19m1KhRLF68mOeee45PPvmEgIAAb4elaZrL0aNHmT59OlWqVGHs2LGEhIR4O6RrWCwWBg8ezOLFi5k8eTLjx48vWYECygcSOnd4LelTSq0Dyslp0rRbl1KKlStXsnbtWurVq8ewYcOoWLGit8PK1/79+4mIiODo0aN8/fXXPPPMM94OSdO0PI4dO8b06dOpXLkyUVFRVKjg3li3smK1Whk2bBgLFixg4sSJPPXUUx4p1xda8dzh9YkcmqZ5j8ViIT4+nkOHDtG2bVv69euHn59vVgvz5s27Mr4wMTGRzp07ezskTdPyOH78OD/88AOVKlXyyYTPZrMxYsQI5s6dyxdffMGzzz7rkXJzu3fLA98brKNpWpm4ePEi//3vf/nll1/o06cPAwYM8MmETynFhAkTiIiIoHnz5mzdurXcJXwi8q2InBORfG96L06fikiSiPwsInqAolaunDhxgh9++IGwsDCioqIIDQ31dkjXsNlsjBw5koSEBD799FOef/55j5bviTF9IhIkIptFZJeI7BWR91yvvysip0Rkp+vRN88+b7nqjYMi0quwOH2vhtc0rdQlJSURFxeHiDB27FgaN27s7ZDylZGRwfjx45k1axajR49m8uTJPjcg3E3fAZ/jvPVkfvoAzVyPB4CvXP/XNJ936tQpfvjhB0JDQ4mKivK54SF2u50xY8YQFxfHxx9/zEsvveTR8pV4bGauBeimlMpwrW6yTkQWubb9Wyn1Ud43i0hLYATQCqgDLBeR5kopx80OoJM+TbuNKKXYsGEDK1asoEaNGowYMYLw8HBvh5WvX3/9lcjISPbs2cOHH37I7373O59b1NVdSqk1rkXobyYCmKqc98XcKCLhIlJbKZVcJgFqWjGdPn2aadOmERISQnR0NGFhYd4O6RoOh4OoqChiY2P58MMPefXVV0vlOJ7o3nV9/zNcT/1dj4JWfY4AYpRSFuBXEUkCOgA/3WwHnfRp2m3CZrMxb948du/eTcuWLYmIiPDZWa8rV65k6NChOBwOFi5cSK9ehfZalHd1gRN5np90vaaTPs1nJScnM23aNIKDg3024Rs3bhw//vgjH3zwAa+99lqpHKeIY/qqiUjeFdUnuW5CAYCImIFtQFPgC6XUJhHpA7woIlHAVuB3SqnLOOuIjXnKyq03bkqP6dO020Bqair/+9//2L17N926dWPIkCE+mfAppfjss8947LHHqFGjBps3b74dEj7IfyWDfK/wReQZEdkqIlvPnz9fymFpWv7OnDnDtGnTCAwMJDo6mkqVKnk7pGsYhsGTTz7J999/z1//+ld+//vfl+7x3HzgvE1k+zyPSXnLUUo5lFJtgXpABxG5G+dwjzuAtjgvBP/lervb9UYunfRp2i3u+PHjTJ48mYsXLzJixAgefvhhn+wmtVgsPPXUU7z88sv07duXjRs30qxZM2+HVVZOAvXzPK8HnM7vjUqpSbl/MKpXvy1uMaz5mLNnzzJ16lT8/f2Jjo72uSEihmHwzDPPMGXKFN577z3++Mc/lurxSmNxZqVUCrAK6K2UOutKBg1gMs4uXChCvZFLJ32adgvbtm0bU6ZMITAwkKeeeooWLVp4O6R8JScn8+ijj/Ltt9/ypz/9idmzZ/tcV1EpmwtEuWbxdgRS9Xg+zRedO3eOqVOn4ufnR3R0NJUrV/Z2SNcwDIPnnnuOb775hj/96U+88847pX9Q8cxt2ESkuoiEu34OBnoAB0Skdp63DQRyVwGYC4wQkUARaYxzItjmgo6hx/Rp2i3I4XCwaNEitm3bRtOmTRk8eLDP3fcy1+bNmxk4cCApKSnMnDmTIUOGeDskjxORH4FHcY7nOQn8GecgbZRSE4GFQF8gCcgCSniLAE3zvPPnzzN16lRMJhPR0dFUqVLF2yFdQynFiy++yKRJk3jrrbd47733yua4gMMzvSe1gSmucX0mIFYpNV9EpolIW9ehjgLPAiil9opILLAPsAMvFDRzF3TSp2m3nMzMTGJjYzl+/DgPPfQQ3bt398n75wJMmTKFZ599ltq1a/PTTz9xzz33eDukUqGUGlnIdgW8UEbhaFqRXbhwgalTpyIiREdHU7VqVW+HdA2lFC+//DJfffUVb7zxBhMmTCjTYSwemr37M3BvPq+PLWCfCcAEd4+hkz5Nu4UkJycTExNDVlYWgwYNonXr1t4OKV92u53XX3+dTz75hK5duxIbG0u1atW8HZamafm4ePEiU6ZMQSlFdHS0z31XlVK8+uqrfP755/z2t7/lgw8+KNOErzzdkUMnfZp2i9i9ezdz584lJCSE8ePHU6dOHW+HlK+LFy8yfPhwVqxYwcsvv8xHH32Ev7+/t8PSNC0fly5dYsqUKRiGQXR0NL42eUgpxeuvv85//vMf/u///o+PPvrICxPVBMMHJ8flRyd9mlbOGYZBYmIi69evp0GDBgwbNszn7nmZa8+ePURERHDy5Em+/fZbxo/XQ9c0zVddvnyZKVOmYLfbiY6OpkaNGt4O6RpKKd58803+9a9/8eKLL/Lvf//bKysTKAGbTvo0TSttOTk5xMXFkZSUxH333UefPn0wm83eDitf8fHxREVFERYWxurVq+nYsaO3Q9I07SZSUlKYMmUKNpuNqKgoatas6e2QrqGU4u233+af//wnzz33HJ9++qnXlqLy4ESOUqeTPk0rpy5cuMCPP/5ISkoK/fr1o3379t4OKV+GYfD+++/z3nvv8cADDxAfH++zXc+apjkXc58yZQoWi4WoqChq1arl7ZBu8O677/K3v/2Np59+ms8//9zra4/qpE/TtFJz6NAh4uPjMZvNREVF0bBhQ2+HlK/09HSioqKYPXs20dHRTJw40WeXjtE0DdLS0pgyZQrZ2dlERUVRu3btwncqY++//z7vv/8+TzzxBBMnTvT66gS6pU/TtFKhlGLdunUkJiZSu3Zthg8f7nO3P8qVlJREZGQkBw4c4JNPPuHll1/2+tW4pmk3l5vwZWVlMXbsWJ9skZ8wYQJ//vOfiY6OZvLkyV5P+Jz0RA5N0zzMarUyZ84c9u3bR+vWrenfv7/PznpdunQpw4cPx2QysWTJErp37+7tkDRNK0B6ejpTp04lIyODsWPHUrduXW+HdIN//OMfvP3224wZM4ZvvvnGRxI+50QOh/hGLIXRSZ+mlQMpKSnExMRw9uxZevTowUMPPeSTrWZKKf7973/z+uuv07JlS+bMmUOTJk28HZamaQXIyMhg6tSppKWlMWbMGOrVq+ftkG7wr3/9izfffJORI0fy3Xff+dSENYVgEd+JpyA66dM0H3f06FFiY2MxDIPRo0fTtGlTb4eUr+zsbJ599lmmTZvGoEGDmDJlCqGhod4OS9O0AmRmZjJ16lRSU1MZPXo0DRo08HZIN/jkk0947bXXGDZsGFOnTvWphA9yx/Tplj5N00pAKcWWLVtYvHgxVatWZcSIET5366NcJ0+eZODAgWzdupX333+fP/7xjz7T9aJpWv5yE77Lly8zevRon5wQ9tlnn/Hqq68yePBgvv/+e/z8fC9tUQh23dKnaVpx2e12Fi5cyI4dO2jevDmDBg0iMDDQ22Hla8OGDQwaNIjMzExmz55NRESEt0PSNK0QWVlZTJs2jUuXLjFq1CgaNWrk7ZBu8OWXX/Lyyy8TGRnJjz/+6LNjmEG39GmaVkzp6enExsZy8uRJHn74Ybp27eqT4/cA/vvf//L888/ToEEDVqxYQfPQOmQuS8KvXhiBd/nW6v2adrvKSDewW6FSZUFMQnZ2NtOmTePChQuMHDmSxo0bezvEG0yaNIkXXniB/v37M2PGDJ9O+BSCHd3Sp2laEZ06dYoZM2aQk5PDkCFDaNWqlbdDypfNZuPVV1/liy++oGfPns6r8DVnOP3X6eBnArtBxdFtqPJqZ2+Hqmm3LWUo5k3PYf9OOyJQuaqJQU9BXPwPnD9/nhEjRnDHHXd4O8wbfPPNNzz77LP069ePmTNnEhAQ4O2QCmSIYDH5doy5dNKnaT5i165dzJs3j4oVK/LEE0/45Cr4AOfPn2fo0KGsXr2a1157jb///e+YrIrj708Hq+PK+9J/2EXo43cS0KyaF6PVtNvXrk02Duyy47A7n184n8V/J8VjdZxjxIgRPjkp7LvvvuPpp5+md+/ezJo1y2eHteSlQLf0aZrmHsMwWLZsGRs3bqRRo0YMHTqUkJAQb4eVr507dxIZGcmZM2eYNm0aY8aMAcB2Ng0xCyrvm/1M2JPTddKnaR5weI+d5TMtWHMUTVr50XNEIP4BBQ/7OHXUwG5z/qywYA+JR1nPMWLkMJo1a1YGURfNtGnTeOKJJ+jRowcJCQnl6O49eiKHpmluyM7OZtasWRw5coQOHTrQs2dPn1uOIFdsbCzjxo2jSpUqrFu37pp7/frVqIAE+KGy7Vd3sBs64dO0Iti7xcaujTYCAoXOvQOo1cBZF5w94WDutzlXEriDO+wYhqL/uOACy6tWU/DzB5vNiqNiAsp8jloV+9OiRYvS/lWKbPr06YwbN46uXbsyZ86ccpTwla8xfeVjuomm3YLOnTvH5MmTOXbsGAMGDKBPnz4+mfA5HA7+8Ic/MHz4cO699162bt16TcIHIP5mak6MwBQehASakSA/qn3QC7/aFcs01qysrDI9XlGISG8ROSgiSSLyZj7bHxWRVBHZ6Xq84404Nc84fdTBjjU2Du+xo5Qq9P071ltZNMPC8V8MkvY4+OHTbM6ddg6X+HW/A8fVkRM47HB4j+MmJTnt32ZjxyobhiM34UsmxOjHsOh7SvR7lYYZM2YwduxYunTpwrx58wgOLjiZ9TUKsIufWw9v834EmnYb2r9/PwkJCQQGBhIdHU39+vW9HVK+chdsXbBgAU8//TSfffbZTcfYBLauRf3VT+O4nI25UhDiX7YJ7IEDB0hISCjTY7pLRMzAF8BjwElgi4jMVUrtu+6ta5VSj5d5gJpHbVtlZc1cKwAicMfdZh4fF1TgLPxNK2zYrVef26yw6ycbjw02ExAEZjPYjavbC+raPXbQzuIfLNhsNmyVElDm0zSq0Z8RT7QlMMi3VgKYNWsWo0ePplOnTsyfP99nh7YURGHCInoih6Zp11FKsXr1alavXk2dOnUYPnw4YWFh3g4rXwcPHiQiIoLDhw/z5Zdf8pvf/KbQpWPEbMKvWoUyitBJKcWaNWtYtWqVT94g3qUDkKSUOgIgIjFABHB90qeVczarYtVsK0aehrjDexycPmpQt3ERL4RcDYSt7vdny3IbmekKhx38/KHboJsnGQd32LHZbFjCEjD8ThOQ3pcco7nPJXwJCQmMHDmSjh07smDBAipUKNu6w1OcEznKRzqlu3c1rYxYLBZiY2NZvXo1bdq0Yfz48T6b8C1cuJAOHTpw8eJFli9fznPPPeeTawVarVZmzpzJqlWruOeeexg3bpy3Q7qZusCJPM9Pul673oMisktEFolIvuv1iMgzIrJVRLaeP3++NGLVSsCSrbj+ZjRigqz0grt4O3T1xz9PHucfAG0edK5NFxgsjHsrhIf7B9Cxlz9DXwjmrvY3X7fOL9COpdJsDP8T+Gf0xmxtgX+gb31/58yZw7Bhw7j//vtZuHAhFSuW7VAQT1IIDsxuPQoiIkEistlVB+wVkfdcr1cRkWUi8ovr/5Xz7POWa8jIQRHpVVis5SM11bRy7tKlS8TExHDhwgV69erFAw884JNJlFKKf/7zn7z11lu0adOG2bNn++StmQAuX75MTEwM58+fp2fPnnTs2NEnz6lLfoFdnwVsBxoqpTJEpC8wG7hhiqVSahIwCaB9+/aFDxbTylSFikJwqJCeoq58wsqAWg0KbmNp93AAAYHCrp9s+AcKnfsEUKPu1SQhMFi4v1vhXYh2u53jKQkYfscxZ/YG213YzRBa3fn9vv47opRi/047Jw47CK8qtOsUUOis4JKaP38+Q4cOpV27dixatMhnL37d5cGJHBagm6sO8AfWicgiYBCwQin1gWs88JvA70WkJTACaAXUAZaLSHOl1E0HfOqkTysTtlPpZC0/CmahQq8m+FUvf+M2iuvIkSPMnDkTgDFjxtCkSRMvR5S/rKwsnnzySWJiYhg+fDjffvutz46vOXLkCLNmzUIpxejRo31ygdnrnATyDtysB5zO+walVFqenxeKyJciUk0pdaGMYtQ8QEzC8JeCif86m0tnFcEVoP/4ICqGF96xdncHf+7ucLUF7+gBO6vnWLFZFC3v9+PBXgGI6WpCZhiKfVvtXL5gULOemcZ3KWJjYzl2/Ag1QntxObXllcuNY0kO9m6zc/d1LYQr51nYts6GzQomM+zYYOOp34fg51c6HYGLFi1i8ODBtGnThiVLllCpUqVSOU6ZEnB4YMkW5Zzxk+F66u96KJxDQR51vT4FWAX83vV6jFLKAvwqIkk4h5L8dLNj6KRPK3XWQ5c4PWouyuYAEVI+20ad+EH41y2/zfnuUEqxceNGli1bRrVq1RgxYgRVqlTxdlj5On78OJGRkezcuZO///3v/P73v/fJVjOlFJs2bWLp0qU+f06vswVoJiKNgVM4r85H5X2DiNQCziqllIh0wDn85mKZR6qVWOXqJp58uwLKUNckaUWRfMxBwqSry7RsWm7DMKBzP+dEKqUUcZNzOP6LA5sV/AKyCagzn8vph+nfvz9r4ptDnlnDNiucOua4JulLPm5n00rblbcZDrh0XjFrUg7Dnwv2eB2wZMkSBg4cSKtWrVi6dCnh4eEeLd9bcrt33VRNRLbmeT7J1XoPXJn0tQ1oCnyhlNokIjWVUskASqlkEcm9x2VdYGOesm42bOQKryZ9IvIt8DhwTil1tzdj0UrPpQ83obJsV7o6DJuDlC+2U/1vj3g3sFJkt9uZP38+u3bt4s477yQyMrJYK8tbD13k/NurcJzNJLBdLaq//wimip5doX7NmjUMGTIEi8XCvHnz6Nevn0fL9xRPnVNvUErZReRFYAlgBr5VSu0Vkd+4tk8EhgDPiYgdyAZGKHfW+tB8VnETPoD92+xXEj4AuxV2b7RfSfrOnDCuJHwKB9mB88lMP0zPx/rRrl07dq3KJCvj6j8fP3+oWuNq693hvXbiv8nmhn9hCo4nOUg+ZlCnkedm4C9fvpzIyEjuvPNOli1bRuXKlQvfqQzZ7fbC33QTCsGC27N3Lyil2t9so6trtq2IhAMJIlJQbuTOsJFreLul7zvgc2Cql+PQSpHjUs61/wwNcFzw3fXUSiotLY0ZM2Zw+vRpHn30Ubp06VKsK2bHhSxOj5mDynCu45CVeJQz57Oo832kx2L96quvePnll7njjjuYM2eOTy7aCpCens6MGTM4deoUjzzyCI888ohPtkQWRCm1EFh43WsT8/z8Oc76UNPw83cu95I3Kcu7jKclWyEmZ8JnD52PEXCYgJxu3NWiHQD9RwUx7dMsDAMMA2rVM3Pvg1db+RbFWHDYBcR1AOFKPW02Q3qq5643EhMTGTBgAM2aNWP58uVUrVrVY2V7gt1uZ8aMGcXev4gtfe6VqVSKiKwCegNnRaS2q5WvNnDO9bZCh41cz6tJn1JqjYg08mYMWukLeawRtiMpqBznlZQE+xHyWGMvR1U6Tpw4QWxsLFarleHDh3PnnXcWu6zsLaevrfFtBpZdZzEyrZgqlGxNKKvVyksvvcSkSZPo27cv06dP99mxNSdPnmTGjBlYLBaGDRvGXXfd5e2QNK3Utenkz861Nqw5zmrAzx86P371e1+rvhnEwB66ECMwCb/MroRXaEdYZefFULVaZp57O5TTxx0EBAp1Gpow5Wl5tGQ76xZRoPIkfKJAGULNep4Z07d69Wr69+9PkyZNWLFiBdWq+dZdeux2OzNnziQpKalE5RgeSPpEpIPrGQcAACAASURBVDpgcyV8wUAP4B/AXCAa+MD1/zmuXeYC00XkY5wTOZoBmws6hrdb+golIs8AzwA0aNDAy9FoxRH+dBuMyzmkzzwAJqHS+NZUHOKbLUolsX37dhYuXEhYWBhjx46lRo0ahe9UAFOwf74N9SVd9Pjs2bMMHjyY9evX89Zbb/GXv/zFJ+8EArBjxw4WLFhAWFgYY8aMoWbNmt4OSdPKRKUqJqLeCGHrSivWHLirvR+N77r6JzsgSFHz7iUkHTlEQM6j1K3VnohxQdckdkEhQpM78/8z36CZmaMHHDgccrWxT8AvAPpHBRJeteRJ39q1a+nXrx8NGzZkxYoVVK9evcRlepLD4WDWrFkcOnSIfv368e677xarHA+29NUGprjG9ZmAWKXUfBH5CYgVkSeB48BQANcQkVic633agRcKmrkL5SDp08sTlH9iNlH1rQep+taD3g6lVDgcDpYsWcKWLVto0qQJQ4YM8chthIIfqodfvYrYjqaC1YEE+xE28m4koPiVy9atWxk4cCAXL168MkvXFzkcDpYuXcrmzZs9ek41rTwJr2aix9Ab70FrGAazZ88m6cg+evToQadOnYpcdv+xgfzwz2zOX1SYULS+00TXJ4IJDJQSjUXMtWHDBvr27Uu9evVITEz0uQs2h8NBXFwcBw8epE+fPjfcWrJoPJP0KaV+Bu7N5/WLQPeb7DMBmODuMXw+6dM0X5aVlcXMmTM5evQoHTt25LHHHsN0/cqsxSQBZur8OJC0H/ZgP5VO0P11qNCn+EuT/PDDDzz11FPUqFGD9evXc++9N9QtPqE0z6mmFcRmVa6xdL47XtQwDObMmcPu3bvp3r17sRI+gFMb7IT/alDR4nyelWZwoqmdZr3yHzqiDMWxww5yshR1G5mpWCn/76Q1QzHt/bW89J/HqVapFovmrKBWrVrFirG0GIZBfHw8+/fvp1evXnTo0KFE5TnX6bv5Ytm+RCd9mk9xXM4h5ctt2E9nEtSpLmEjW/psBXzmzBliYmLIyMggMjKSNm3aXLNdKUXWimPYjqTgf0c4Id0aFvl3MQX7E/5UyZIzh8PBm2++yUcffUSXLl2YNWvWTbtZHKkWjNQc/GqHouyKjDmHMFItBHWsS1CbknVXu+Ps2bPExMSQnp5OREQEbdu2LfVjatq5Uw7iJuaQmaoICILIp4Jo0Nz3/jwqpZg3bx4///wzXbt2pXPnzsUqJ/uywc/TLTgsV19zWOD4Bht39PAncZ6Ffdvt+AdA98ggmt5lJubrbE4ddTgnjygY+ZsQ6l13WznDUHz1/FreiulPWGB1/vDwAvZNCqfhPxQmP9+oxw3DICEhgX379l1Z1L2kFJ4Z01cWvL1ky484FxysJiIngT8rpb7xZkya9xiZVk4NisdxIRvsBtk/ncL+aypV//iQV+OynUwj9bufUZlWKvRrRkjn+uzdu5c5c+YQFBTE+PHjqVvXuTRS1sqjnH9nNUa6FVOlYFS6DWV1IAFmQvs3pdp7D5dp7JcvX2bkyJEsWbKE559/nk8++QR///yvSC9P2k7KF1sRPxMS4ocpOAjH+SyU1UAm7qDqX7tQsV/TUot13759zJ49+4ZzqmmlyWFXxH6eTbZrSVxLNsRPyuHpd0KoEFb6LcyWDMXWr7O5mGRQobpw/7NBhNW9MYHITfh27tzJI488QpcuXa5su3DQzrH1dvwC4I6eAYTWuHncylCs+ms2tnwWUAgMFRLnWdi+3nZluZjZU7JpXMPEsZOGc8KHy5xp2bzwTug1+69dvJU/zoigYkAV/tRtAeGBdci+rEg5YVClqPcdLgW53eJ79uyhR48ePPigp4YciU763KGUGunN42u+JWv1CYw0C9gNAFS2nbQf91Hl9x2RUlodvjC2U+mcGjzLuWyKgowlhzn4bGU2ndlLvXr1GD58OKGhzorP+sslzv1uuXOWsgLjXBa5yyipbDsZc36h0jNty2xR6n379hEREcGxY8eYNGkSTz/99E3fm7MtmdSJ28FmoGwGKtuBwdW1FVWOg0t/3VAqSZ9SipUrV7J27Vrq1avHsGHDyvV9OLXyJe2ywm699jWTCc6fNko96VNKsWZCFqknDAw75KQoEv+cRd9PQgkIzXPnDYfBgoUL2bFjBw8//DCPPHJ1jdPkHXY2/DsbhxUQOLzCRs8PKhBaM//Yc1IUKecNzoSD1Q/8HFAzDYJM0HpEIN9Nyr52fUAbnDhqoK7LFjKvu5fwjh07iBzdixD/MN7uvoCqFeq5fkfnnT68LW+3eLdu3YrdLX7T8ikfQ1B8r/1au325kr1rKMDw3vyd9Fn7UZnO5Mfqb7Cu/WVOnjlN63otaBfn4OJ/Z5LZsS7V//ooOZtPU+Bauv4mjBQLlEHSN3fuXMaMGUNISAgrV64stIKzHrx4bewq9z95/vBkFX/x0puxWCwkJCRw8OBB2rZtS79+/fDz09WSVnaCKwjGdfMdHXYIrVT63ZGWVEXqSWfCBzgvFh1w4ZCDOu38UEqRGGdh07bF2IJ2UTOsI10efvSaYSI//2hxJnyu/e058MtiK/dG3zgBBMAUAKcqgt0EiGATxenKMGhIIJXqm/HPZ0ifnw3EzDUtfTXrXk1ydu3aRY8ePQgLq8iEwYsIvNQAhxVM/hBe30QlDy3/UlzXd4s//LBne1yUEpTygczWDbp21XxGcKd6iJ8JZQIMkEAzwV3ql2i2akkpix0MRVqonZUPp5AW6uCBA1VoMScdleNA4ezSPffbZYT2b46YJP/l0MU5McO/ScluO6SsDi5P3IZl51kC7qhM5Zfvv+YOHYZhMGHCBN555x3at29PQkIC9erVK7Rcv3ph18WuIO+Vq7+J4I51ShT79XJnEF+8eJE+ffpw//33++z4Te3WFRQiPNw/gHULrOT+87u7oz/Vapd+vWMOENT117oK/Fxf6Z1rrWzevhRb0C78stqTlfoQa+fZ6DookLN77OxPsJKebNywvz3n5sfMzgHDXyB3NxHEBOZazu9794hA5kxz3v7NZAKTgmoZEGCHS67r1ZBAGDTeOZs+t6s0JCSExMREGtVvwr65Vi4fMQhvZKJlZIBHZgMXV0Hd4p4jGHoih6YVjblqMHVmRHJxwgbsZzIJfrAuVV4r2ayqkgrt05T9idtZc98lTAb03FCNRk0akW0/efVNVoPsDSep8Wkv/L/bhe3XFJTNAJNgrhSCI8WCf4MwanzSHVNw8b9ySinOvrTY2aJocZCzLZnsn05SN34oEmAmIyODcePGERcXx5gxY5g0aVKhy5zk7DqH5efzmGuGENKzCVlLjoCfCQxF+LP3kTZtL0aGlaCOdajxz67Fjv16SUlJxMXFISKMHTuWxo1vzcW6tfLh/u4B1G9m5vxpg/BqJuo3LZsLTf8QoUk3f46useGwOFvGKtY1Ue1OM0op1m9ahjVwB37Z9+Gf1QUHwtEDds7vN7Pun9lXW/jyMAdAw843r2cCAoXrr61M/s7kF6DFPf6MfE44sMtOYJDQuLaZzf/Opko2VM4BUzD0fjOEipVM7Nu3j27duhEQEMDKlSu54w7n6gKth/jG7RGVUixYsCDfbnGPH0t372pa0fk3qkStyX28HQbgrDC2pv3CigcvUiU7kO4H6lB7cCtsZ9LBfl17nkkwBfpRZ/pAMhb8guNSDkHtaxPUxnNrUzkuZJG96TRYXX1RNgP72Uxyfj7LmaoWIiIi2Lt3Lx999BG//e1vC201S4s5wKV/bEIpELMQ1L4Wtb6PQKXkEHBnNcxVggl/2rOzZ5VSbNiwgRUrVlCjRg2GDx/uc/fg1G5PtRqYqdWg7HsV2j0RSNVmZi4cdBBaS2jWKwAxwbJly7iYtQ3/nHvxy3wEQUAgpKKw9IccUgIhSCDU4hyEIX4QWkNoPSKQGq1u/qc9pKLQtpM/P2+0YbOCfwA0aGqmVv2rSUv9Jn7Ub3K1jLAJIZz4yY7JDI26+BNSzcSBAwfo1q0bZrOZlStX0rRp6U3yKg6lFAsXLmTbtm106tSJrl27lmJPgoBO+jSt/LLZbMydO5c9e/bQqlUrBgwYQECAc7BL8lPzbni/qXoI4OzCrTiw+LdeK5Ch8t4e84pVm9Yx5p3nMAyDRYsW0bNnz0KLUnaDi3/bCDbXpBkgZ+sZVKqN4IfqF7xzMdlsNubNm8fu3btp2bIlERERV86ppt2uRIRGXfxp1MXZPaiUYsWKFfz000+0bdOeU1sfwRoIuCZEXDxrkJUKKkjIDlTY/KBKJlRuaKLHhApuHbPH4ADqNzVz9qSDytVN3H2/X4EJUaV6ZioNvZoQHzx4kK5dnS3/K1eupHnz5sU/AaVAKcXixYvZunUrDz30EN27dy+DoSM66dO0cik1NZWYmBjOnDlDt27d6Ny58zUVhjn8xgHSAY1KNlbPHeYaFQhoXQPr7nMoqwNlFqamreYv/zedFi1aMGfOHLevtlW2/cbsUQTHpQIGA5VAamoqM2bMIDk5+cpAaj1+T7vVXT5ncPqog5CKQqMW5kLHtuXOZF+/fj333Xcf/fr1xdoLDu+1YzjAYVOsnG298tVVIqQHK6rZ4M4I9y+gRIQ72/pxZ9uipwC//PIL3bp1w+FwsGrVqhLdX7w0KKVYsmQJmzdvpmPHjvTo0aMM6hpB9EQOTSt/jh07RmxsLHa7nZEjR+Z7BRv+XHuyVh13Lc2ikCA/qrxS+mMPRYRaX/fl0scbSdt2kj8mTSHm0BIiIiKYNm1akZY5MVUMwK9eRezH067OjnYoAtt4/t6Yx48fJzY2FpvNxogRI2jR4ta777KmXS9pt515/8tBTICCek3NDH42qMDEb/Xq1axdu5Z7772Xfv36ISIEBkPL9s5WwL2bbTfuJMIDLwVS7/6iTSTITDf4eYMNaw40be1H3Sb5Jy0ZqQbJxwyCKwg56le6du2K1Wpl5cqVtGzZskjHLG1KKZYtW8amTZvo0KEDPXv2LMOLS93Sp2nlytatW1m0aBGVK1dmxIgRVKtWLd/3BdxRmbrxQ8iYewjlUIT2a0pA0yplEqMpxB/rE3cwav7rbNqziXfeeYc///nPxbpNWe1venH2heVYD13CFB5E9X8+gn89zy4ns23bNhYuXEh4eDjR0dE+d8N1TSstC10zYHOdTHJweK+Dpq3z/7O7evVqVq9eTdu2benfv3++yUrDO83kzRnN/tCohZn6xUj4vvtbFjnZziVitq+28fi4IJrdc21sJw87mPVVNiJw4fJRJsb3wZBsVq5cyd13312kY5a2vN3i7du3p3fv3mWY8AlSTtKp8hGlppUih8PBokWL2LZtG02bNmXw4MEEBeW/xlUu/waVqPzi/WUU4VWbNm1i4MCBpKWlERcXx6BBg4pdll+dUOomRKKU8njl6HA4roypcfecatqtwjAUlutGSigFGan5r+O5du1aVq1aRZs2bW6a8AGEhpkY9dsQls7IIe2SokFzM48NK/pM2Z/X264kfOBcgHllvOWGpG/+dznYLHA57TgTE/phsWby/f+WcM899xT5mKXp+m7xvn37lvnwEdEtfZrm+zIyMpg5cybHjx+nU6dOdOvWrVitZmXhu+++49lnn6Vu3bosWbKE1q1be6RcT1eOmZmZzJw5k2PHjl0ZRO2r51TTSoPJJFSvbeJCskHeNc9rN7zxe7B+/XoSExNp3bo1AwYMKPS7YrMqLpw2UAYc2Ganem0T93cv2oQoS56EL2+518tMV6Skn+Tr2f3Isabx7MC51K3R5ob3eVt+3eJlSRBElY86rnxEqWml4PTp00yePJnTp08zaNAgevTo4ZPJid1u55VXXmH8+PF07tyZLVu2eCzh87Tk5GQmTZrEqVOnGDRoEI899phPnlNvEJHeInJQRJJE5M18touIfOra/rOItPNGnJpnDHo2iCo1XAsf+8FjwwOoWf/acXM//fQTy5cv5+677yYyMrLQ74pSiviJ2ViywWpx3jlk3QIrZ084Ctzves3a+OGXp0fYzx9a3HtjF7E5JJmvZ/cjK+cSTw2YTf3a91KrgW99n93pFi8Lgsmth7fplj7ttrR7927mzp1LSEgITzzxBLVr1/Z2SPm6ePEiw4YNIzExkVdeeYUPP/zQZ29TtmfPHubMmUNISAjjx4+nTh3P3sGjPBMRM/AF8BhwEtgiInOVUvvyvK0P0Mz1eAD4yvV/rRwKq2LiibcrYLUo/P25YQLHxo0bWbp0KS1btmTgwIFuXRxZcyAn69rXxAQXko0bEsqC1G1i5vHoIFYmWLBZFS3u9afroGtbC0+fPs3nsf3IzD7P0xFzqF/zPgw7bE20UauBmYBA78++d7dbvCz4QkLnDt/866FppcQwDFasWMGGDRto0KABw4YNo0IF99a2Kmu7d+8mIiKCU6dO8b///Y9x48Z5O6R8GYZBYmIi69evp0GDBgwdOpTQ0FBvh+VrOgBJSqkjACISA0QAeZO+CGCqct4EeaOIhItIbaVUctmHq3lKfsnR5s2bWbJkCXfddReDBg1yuzU8IMi5mHLe8YJKQeXqRU84mrXxo1mb/FOA5ORkunXrxtmzyUz9ZgEnt7fDbnMe6+gBB0tjcng8uuC7/ZS2onaLly7BVE7SqfIRpaZ5QHZ2NvHx8SQlJV2Z3WU2++baSnFxcURHRxMWFsaaNWt44AHfbPDJyckhLi6OpKQk7rvvPvr06eOz59TL6gIn8jw/yY2tePm9py5wTdInIs8AzwA0aNDA44FqpWvLli0sWrSIFi1aMHjw4CJ9X0SEyKeDiJ+Ug4hzXF67Lv7Uaey579zZs2fp3r07J0+eZPHixVjOtOeozX5lu8MOxw4WrTvZ04raLV7aytOYPp30abeF8+fPExMTQ0pKCo8//jj33Xeft0PKl2EYvPvuu/zlL3/hgQceID4+3me7SS9cuEBMTAyXL1+mX79+tG/f3tsh+bL8+p1uWB7bjfeglJoETAJo3759/tNBNZ+Uu4RR8+bNGTp0aLEukBo09+OZdytw8YxBaJhQuYbnko1z587RvXt3jh07xqJFi+jcuTMbl1ow+zmTvVzBFbzXjVqcbvGy4StxFEwnfdot7+DBg8THx+Pv7090dLTPto6kpaUxduxY5s6dy/jx4/nyyy8LXebEcTkbx8Vs/OqFYQoqu6/zoUOHiI+Px2w2ExUVRcOGDcvs2OXUSSDv/e3qAaeL8R6tnNqxYwfz58+nWbNmxU74coWECoGNTFhSFA67wuxX8iTswoUL9OjRgyNHjrBgwQK6dOkCwL0PB7D7JzuZaQpDgUmg5wjvLL9U3G7xsqDH9GmaFyilSJu6h4yFhzGFBXCgt5k1ezZSu3Zthg8fTqVKlbwdYr6SkpKIiIjg4MGDfPrpp7z44ouFDkpO+d92Uj7dhPibELOJmpMHEHh3zVKNUynFunXrSExM9Plz6mO2AM1EpDFwChgBjLruPXOBF13j/R4AUvV4vlvDzp07mTt3LnfccQfDhg0r8WSsM7vsbPg4G6WcEzk6/S6YmjdZ9NkdFy9epEePHvzyyy/Mnz//yn11AQKDheg3Qzi0047NAo3uMhdrDGFJlaRbvPSJR5I+EakPTAVqAQYwSSn1HxF5F3gaOO966x+UUgtd+7wFPAk4gJeVUksKOoZO+rRbSsqX20n95mesNisbOqRwbE8OrRq3IGLkYPz9i7ZqfVlZsmQJI0aMwGQysXTpUrp161boPpZ950j9fDNYHc778AJnn5tP/TVPlNoMNqvVyty5c9m7dy933303AwYM8Nlz6muUUnYReRFYApiBb5VSe0XkN67tE4GFQF8gCcgCxnsrXs1zfv75Z+bMmUOTJk0YPnx4iRM+S4Zi/cfZOCxXX1v/UTaPfxlKQDG6XS9fvsxjjz3GgQMHmDt3Lt27d7/hPQGBwt0PeO+77olu8dIlmJRH0ik78Dul1HYRqQhsE5Flrm3/Vkp9dM1RRVrivIBsBdQBlotIc6XUTQdd6qRPu6WkTd9HmimHVd0vkVLJzn27wnioWjOfTE6UUnz88ce88cYbtGrVijlz5tC4cWO39rUlXYLrloAwUnNQmTYktGgLtbojJSWFmJgYzp49S48ePXjooYe8ujxCeeS6Ml943WsT8/ysgBfKOi6t9OzevZvZs2fTuHFjRowY4ZF6KCPZwGRyNutcYYKMswZVbnL/3JtJSUmhZ8+e7N27l9mzZ9OzZ88Sx+dpnuwWLy2CZ7p3XS37ya6f00VkP87JXDcTAcQopSzAryKShHOlgJ9utkP56ITWbjnKbpC17gSZi49gP5fpsXKTq2SzsOcFMis46LamCq0OVSzwBufekp2dTVRUFK+99hoDBw5kw4YNbid8AH4Nw8G4dgy/BPsjFTyf3B49epTJkyeTkpLCqFGj6NSp0y2b8InI/4lImGuh5G9EZLuI+N5fQs3n7d27l4SEBBo2bOixhA8guKpcM6kCwLBDcJWifSdTU1Pp1asXu3btIi4ujj59+ngkPk/ydLd46TK5+XCPiDQC7gU2uV560bVo+7ciUtn12s1m/BcYpaaVKWV1kDx2Huf+bznn317Dyb4zsfx8rmRlKsWmTZtY2v4MQRYTfZdWp+7ZICTIj9ABzTwUuWecPHmShx9+mO+//56//OUvzJw5s8jr2gW1qUXFMfcggWYkNAAJ8afGp56936RSis2bNzN16lRCQkJ4+umnadbMt85lKXhCKZUG9ASq4+xi/cC7IWnlzb59+4iLi6N+/fqMHDmSgADPtb6HVDHRemQA5gDwCwZzANwzOpDgcPf/nKelpdG7d2+2b9/OzJkzefzxxz0Wn6d4ulu8VCnnki3uPIBqIrI1z+OZ64sTkVAgDnjFVR99BdwBtMXZEviv3LfmF01BofrwWdRuVekJh7AeuITKuXq5ev6tVdRbMKxY5dntdhYsWMDOnTtp3rw5j/m1xpZyHHOlQMJfug//uhU9FXqJrV+/nsGDB5OVlcWcOXMYMGBAscuq8upDVBzUEsf5TPzvqIK5sucWS7Xb7SxcuJAdO3bQvHlzBg4cWOhM4ltEbiXaF/ifUmqX3KrNmlqp2L9/P3FxcdSrV49Ro0Z5NOHL1aJvILXb+JGerKhYx0RYHfcTvvT0dPr27cuWLVuYOXMmERERHo+vpEqjW7y0FaF794JS6qbrW4mIP86E7welVDyAUupsnu2Tgfmup0We8a+TPq3M2ZMzrkn4AOzns4tVVnp6OrGxsZw8eZIuXbrw6KOPOlu7ht7tiVABOH3UQeIsC9mZiqb3+NFlQABmc9HzgMmTJ/PCCy/QsGFDEhMTadmyZYlj828Yjn/D8BKXk1dGRgYzZsy40iLZtWvXW7Y7Nx/bRGQp0Bh4yzWY2vByTFo5cfDgQWbNmkWdOnUYPXo0gYGBpXassLpmwgrsyLtRZmYm/fr1Y+PGjcTExDBw4MDSCa4EcrvFGzRoUG4SPg/O3hXgG2C/UurjPK/nvTPPQGCP6+e5wHQR+RjnRI5mwOaCjlGkpE9ETECoq7lR04olqG1N0oL9UNmuxM/PRGDr6kUu59SpU8yYMYOcnBwG9exPoxMBZMTvJ6R7E8zhnmmVunzOIPazbGxW5/Oda21YshW9R7lfvs1m45VXXuHLL7+kV69e/Pjjj1SuXLnwHb0g7zkdMmQIrVq18nZIZe1JnF0oR5RSWSJSFT2LVnPDoUOHiI2NpVatWqWe8BVHVlYWjz/+OOvXr2f69OkMGTLE2yHdIG+3eGm1kpYG8dzs3U7AWGC3iOx0vfYHYKSItMXZdXsUeBbAtQJALM7bOdqBFwqauQtuJH0iMh34Dc7JQtuASiLysVLqw2L9StptL+TRBlR6ug0pX2wHEQKaV6bGh10L3zGPnTt3Mn/+fCpWrEhUzyE4XljFJbsDEC5/8hN14objV6Pk939N2mPHkecrZLfB/m12el+/wtpNnDt3jqFDh7JmzRpef/11/v73v/vk7DOAXbt2MW/ePEJDQ3niiSeoVauWt0PyBgW0BB4H3gcqALdFv7ZWfElJScTGxlKzZk3Gjh3rc0MhsrKy6N+/P2vWrGHatGkMHz7c2yHdoCy6xUuTh2bvriP/cXoL83ktd58JwAR3j+FOatpSKZUmIqNdB/49zuRPJ31asVV+rh3hT7ZBWRyYKrr/5TYMg6VLl7Jp0yYaNWrE0KFDSXtlOfZM65Xhq8rmIOXLLVR7t2iJZH7MfnB9z6a7OduOHTuIjIzk3LlzfP/994wePbrE8ZQGwzBYtmwZGzduvHJOQ0JCvB2Wt3yJszu3G86kLx3n+Jr7vRmU5rsOHz5MTEwM1atX98mELzs7m8jISFauXMmUKVMYNcrNK9YyVJbd4qXlVrojh79rYGEk8LlSyiYi+n6PWolJgBkJcL/VKysri1mzZvHrr7/SoUMHevbsidls5vKFzGvnKzkUDg8tA3PXff78tNhGTqbCMMAvAB7sXXiSOmPGDMaPH0/VqlVZt26dz97rNzs7m1mzZnHkyJFrzult7AGlVDsR2QGglLosIuWryeEW47iQycW/rsR2+BIBLWtQ5Q+PYq7kG4nVkSNHiImJoVq1aowdO5bgYM9NpioJZTcQP5Nz6MugQSxfvpxvv/2WsWPHeju0G/h6t7h7JHdmrs9zJ+n7Gmcf8i5gjYg0BPSYPq1MnTt3jpiYGNLS0hgwYAD33nvvlW0hXRqRdiz1yuQQCfYj+NFGHjlucAUh+s1gtiy3kZlu0KyNPy3a3vxr43A4ePvtt/nggw/o1KkTcXFx1KxZurdGK67cc5qamkr//v1p166dt0PyBTYRMeO6jBCR6uiJHF5jWOwkj4nFfiYd7ArbyVSsv1ykzsyRiNm7f2SPHj3Kjz/+SJUqVYiKivKJ1nHroQucfWEBjuR0bOF+vCyzWLxuBf/9738ZN26ct8O7ga93i7tLANOt0tKnlPoU+DTPS8dENQh6YAAAIABJREFUpOT9Zprmpv3795OQkEBgYCDjxo2jXr1612wPf/EBHBezyJh7EExCxVH3UHGo5yYghIaZ6Dqo8KvP1NRURo0axcKFC3nmmWf47LPPfHZcyoEDB0hISCAgIIBx48ZRv379wne6PXwKJAA1RGQCMAT4k3dDun1ZD5zHcTkb7K6mfJuB/UQK9hOp+Dfy3mSoY8eOMX36dCpXruyRhE8pVeIZ8obFzpknZmNczsGq7Dy/62tWZOzhq39/xpNPPlmiskuDr3eLF43HJnKUOncmcoQDUUCj697/cinFpGnA/7N33nFRndn/fz8zQ0exgIJijy3RGI09JnZjB2xgA6PZbHbjxt3sbpJNNnWTbLL7TTa/1E02DaKRoiDYO2rUWGLvXVBAREA6057fHwMI0mFgLnDfr5cv5t6Ze++Zx7n3nvuccz7HciHctWsXu3bton379vj7+9OsWWnNPaHT4P6PsbR+29Kz1hbyIufPn8fHx4fLly/z5Zdf8uyzz1plv+ZsPXfe203+4QS0Xq64vzEauy41v9lJKdm9ezexsbG0a9cOf39/mjdvbhVbGwNSyhVCiF+BsVge4H2llGdtbFaTReg0paVmzYCd7VIQ4uLiWLFiBW5ubgQGBuLi4lLjfemvpHFr6SaM1++ibeNCm48n4NivZpEB440MZL4JgzTxhxvfsz3rFP/oNI9FjylPlkWpYfHa0Ghm+rAUb/wCnEQNc6jUE/n5+axZs4Zz587Rr18/pk6dWqkiu6205DZs2MDcuXNxcHBg+/btPPHEE1bbd/LzG8g7kgh6E8abGSTOW0X7DQtqJMRc0ZhePWPkl616pBkGjrGnR7+G8dRqbYQQP0opFwLnylinUs/Y9/LA7oHW6M/fhnwTwkGH46D26NrZRnA9Pj6eFStW0Lx5cwIDA6vdSac4Um8iKSgGU2ouSDDdyibpN+vosGV+jSSntC2d0Ov1PH/jB7ZknuBNz1ksbP04mlbKcqiKh8UXLlyoiLB4bRFW0umrD6pyZXeUUr5Q55aoqBSQmppKaGgoKSkpPPnkkwwZMkSR4sBSSt5//31effVVHnnkEdasWUPHjh2ttn9zjoG8QzfBVFiWDNJkJu/gTVyefKBa+6poTK+dM7LmmzyMBstnb8XnQaAjPSrIXWzElMgLKMjvU2YVThNAaDV4fjeTu98cQn8hBYe+nrgtGmCT68GNGzdYvnw5rq6uBAUFlRl1qA7GhEzMuYaSM5lCoD9/B6chpVWXpcFM+n+Pkrv/Jrr2rrT6yxB0be/NMsrmdryki2FT5jFe857ForZjcfHphX23VrWy05rcHxavzSyp0tA0okKOH4UQv8HS9iO/cKWUMrXOrFJpsly+fJlVq1YhhGDBggV07drV1iaVSXZ2NkuWLCEsLIyAgAC+/fZbqz+xCl0ZFxFJtSqewRJKiYiIAChzTI/sMhQ5fGDRIjy8U9+knD4hxN+wiKA6CSEyuKeVpQe+tplhKmgcdbRcOsymNiQkJLB8+XJcXFys4vABaNwckIb7gmcGM9qWZc/y3f5bLDnbryPzjOSfSCZvfwLtN8xG29wBo9FIYGAgUUe28c8/vs7vh87GrpMbTkOVk6trzbC48hCNKryrx6LJ9yr3nkkkoMy7sUq5SJPZ5hVv5SGl5JdffmHr1q14eHgQEBCg2K4V169fx9fXl+PHj/P+++/z4osv1snMg7DX0sy/D1mRZy2VyfYatG1dcBxetQt58TF1d3cnICCAVq1KP/WXZboCJ1brFCnlP4F/CiH+KaX8m63tUVEOiYmJ/Pjjjzg5OREUFGS1HFhtSydaPN2fuz8cL7o2uzzZDfserUt9VupNZG+8AuaCW7BJYs4zkrv3Bk4TOvPUU0+xcuVK3n//fV566aWi7TLXXyRn21W0rZ1o8Zv+6NrWXrC+JlgzLK5EhARdYynkAF4AHpBSplj74EKIicD/A7TAN1LK9619DBUwxGdw69nNGK6mo2lmj8eHY3AeoZwnQIPBwLp16zhx4gS9e/fG19dXsVWvu3btYtasWUU2T548uU6P1+qVJ7Dv5U7egZvoOjTH7akBaBwqP22NRiPr1q3j+PHj9OrVC19f33L1rwaNtefq2VxMBV3xNBoYMl6Z41/XSCn/JoRoiaWHpWOx9bttZ5WKrUhKSiIkJAQHBweCgoJwc3Or8rZVqcht+YdBOA5uh/7CHew6uuH0RAXpIVKWWjabzSxZsoTly5fz7rvvlnD40r89SvoXv1raXWoF2Rsv473WH2095/gVD4sHBgZaZZZUaVjasClzQuV+quL0nQZyrH3gglyZz4HxwA3gkBAiRkp5xtrHaspIKUl6agPGxEyQYM7Qk/yHbbRfNwu79rY/+TIyMggLCyMhIYFRo0bxxBNPKDZ/78svv2TZsmV069aN6OhoevbsWefHFULQbOZDNJtZdQmajIwMwsPDuXnzJiNHjmTkyJEVjmmzlgKNxtJnEUBoICOtadZsCSGeBpYB3sAxYCiwH0uHjprusxUQhkUB4RowR0qZVsbnrmHpAGICjFLKgTU9pkrtuXXrFiEhIdjb2xMUFESLFi2qtF3muovc+cceZI4Bx0e9aPPxhAoLM5yGtC8zh684+Wdug4aC/F4BSEwGI38Me4/gH4N56623eOWVV0psk/7fI/f6m5sk5rv5ZG24hNuCvlX6Htbg/rB4Y1YKaEzhXRNwTAixk5I5fbWVbBkMXJJSXgEQQoQCPlgaB6tYCXN6Psbk7JJ111qB/uRtmzt98fHxhIWFYTAY8Pf3p1evXja1pzz0ej1Lly7lf//7H1OmTCnKS1Ei8fHxhIeHo9frqzympw8YMBrvLZuMsD1Cz+EdBh4ebsegsXaKdMTriGVYWq79IqUcLYToBbxVy32+DGyXUr4vhHi5YPmlcj47ui6iKirVIzk5mZCQEHQ6HUFBQVVONck/mcyd13cVCcXnHUki+YWteH03rVb25B1IAHnvIm6WJv6esJLQk3t4/fXXef3110ttI3ONIAVF6akmSd6hhDKdPnO+kTtv7SVn2zWEk45WLw/FdVK3WtlcV2FxZSLQyIbRyagqTt+agn/Wpj0QX2z5BjDk/g8JIZ4BngGsWhnZVNC42JVeKSWa1rYt4z9y5Ajr168vSupt06aNTe0pj6SkJGbOnMm+fft45ZVXePvttxXbpuzo0aOsX7+e5s2bs3DhwiqPqclY4n4CgNkMabcl+zbqARg8rsmEe/OklHlCCIQQDlLKc0KI2k7p+gCjCl4HA7GU7/Sp1AOZMRfIDD+DcNLR8vcDcezvWfTe7du3CQkJQavVEhQUVGYebHnkHkxAGoudTEazRXKpHEx380l+cRv5R26haeFAm3+NLWFLIZoWjggHLTLPiJRmXr+1ktD0Pfzt5b/x5ptvlr1zjabYzKAFQ3wGd97dR96JZOy7taTVX4egbenInbf3krXhMuSbIFNPyiu70LV1wXFAaVuqQm3C4g0RQSOq3pVSBhf0nuxRsOq8lNJQ0TZVpKypg1I9faWUX1NQPTdw4EC15281EfZaWr8yjNQPfrGs0AicRnjjOLBmJ3NtMZlMbN68mUOHDtG1a1dmzZqlWGHOw4cP4+vrS1paGmFhYcyZM8fWJpVJbce016M6DscaMOpLv2fQw4n9hqbk9N0oEKRfA2wVQqQBCbXcZ1spZSKAlDJRCFGeNy6BLQW9zb8quPapWJmMiDOk/nNf0Wxc0q9JeP3og8NDHqSkpBAcHIwQgsDAQFq3Ll1UURHaVo4IO00Jx0/jWv65k7hkHYbT6QCYsvJIDFxP+42zsfcuOSvmOr07GctPYriZwZtxP/FT+h5+6z6Bp2M6kpy/jTbvjymjql9DyRCPwHAtC+Plc0i9Cf3ZO+QdScI7ZhY5O65bHL4CZJ6JnNi4Gjl9NQ2LN2wE2sYS3hVCjMLydHoNi6PWQQgRZIXE5htA8WoCb2p/cVUpg+YBD+LQ14P8k7fRebriNLKDTcJ12dnZREREcP36dYYNG8a4cePQaJR5oixfvpynn34aT09P9u7dyyOPPGJrk8okJyeHiIgIrl27xtChQxk/fny1x9SjnZZpixyI+jq/zPd1uiYT2kVKWdi+4M2ClBY3YFNl2wkhtgFl3SFfrcbhH5NSJhQ4hVuFEOfKus6q0Y/acfeHE0UOH4DMM5IZcYYszz4EBwcDEBgYiLu7e7X37TqlOxkrTmG4mo40SZASp8e8yd5yCefx3Upcd6XeVOTwFc2BGCUZ35/E/bXHLJ+RElNSNtJoxjPUj+f9n+bHo7E87TGeF1v7IiTkxl4j7ZODtPpLSVkbXVsXjDcySxqoN1nsAjCYMaXkkn/qNhpnO8zpxc5/Ow0at8pbT95PTcPiDR0hwc7ceKp3PwQmSCnPAwghegArqb1g6SGguxCiC3ATCADm1XKfKuXg8JAHDg952Oz4SUlJhIaGkpWVhZ+fHw8//LDNbKkIo9HIyy+/zIcffsjIkSOJiIjAw6N+xs1klGir4WAlJSURFhZGZmYmvr6+9OvXr8bH9u6mQ6PNx2wquV6rgxFTG/8sX0Gxxf2cLPjrClSoSyqlHFfBvm8JIbwKZvm8gORy9pFQ8DdZCBGFJe+5lNOnRj9qR1nPu+kil5jgYMxmM0FBQTU+54W9lnY/+ZG95QoZYSfRn04mZ8N5crdfwnnnVTz+Of7eh4t0OEsaZErNs/zNyCcxMAbDpXSkVvJB7lq+vriO3/Tx4WXjk0UOpMwzkb0nrpTT5/7W49z6/WaLFqBWoHFzwJyRf0/sHSxzy0LQ6tXh3P7zdqTeBDot2pYONJtZvayG27dvExwcjEajqXZYvKEjGplOn12hwwcgpbwghCgjUax6SCmNQoilwGYski3fSSlP13a/Ksrj9OnTrFmzBicnJxYvXky7du1sbVKZpKWlERAQwJYtW1i6dCkfffQRdna1/qlXSvwlE2u+ySUvB5q1EMz4rSNt2lecN3j69Gmio6NxdHTkqaeeon17S/Wf1JtI/fgAObFxaN2dcH91BPY9Kw9RaXXQrY+Wq2dMGA2WG6OjM0x7ypFOPRvGE2wt+ZWCW2AZ79VWlzQGCALeL/gbff8HhBAugEZKmVnwegLwdi2OqVIObk/3587be4pm+7Jaw1aHkxiyDPg5P4rbHQG1SDEW9locB3qR8to20FueomSukZwtl9H/ZiD2XS2zX0IjEG4OyLv5FP3shMBlTGfMOQZuTAzDnJaPlGY+SIzk69QtPP2oH+9OXUbWqrMlIrfGa3cxXL+LXad7uXNOw9vTLtyXnN3xaJztcJ7SldvLtpN37JYllGunQeflgsND7gh7LbqQaeTsikPjao+rXw+01ZjpKwyLFzp81Q2LNwa0jSWnDzgshPgW+LFgeT6WC2StkVJuwNLbV6URYjab2blzJz///DMdOnRgzpw5ihXlPH36ND4+PsTFxfG///2Pp59+ul6Om5MpWf3fXAwFkZXMNEn4Z7n87h8uZc76SSnZuXMne/bswdvbmzlz5pTQvUp5fRfZWy4j80wYr6WTsGAN3tFzKuxVevOqidVf5mIyWYo62nXR8EBfLY+Oskdn1zRCu1LKLnW4+/eBcCHEEiAOmA0ghGiHRZ90MtAWiCqYvdEBP0kpKw0rq1SfZr49EY46MledJcvFxFavi+gzc5mw2w37tIskrbxK2/9Ow3FQxTIqFWHOyLPk9umLTZ3rNJgz8ooW9ZfTkHl5FEqwAGia2+EytSsZK05jvpuPlJL/S4nm69QtzG8xktc959DqD4PJXn8RmV2s5N5oJuWNXXj9ML2EHfY9WmHf496MW9uvniT901/JO56MffeWtPrT4KJcQIe+Hjj0rf4M5507d2odFm/oNDadvt8BzwHPY/l17sair6eiUi55eXlERkZy8eJF+vfvz+TJk9HplDljFB0dzYIFC3BxcSE2Npbhw4fX27FvJ5jQ3OdXGQ1wN1XSqk3JN/Lz84mMjOTChQtljqmUkqwNl+C+6sGc3XE0Dyhb589slkT+N5f83Hvrkm+YmTTfsck4fABCiAEVvS+lPFLTfUsp7wBjy1ifAEwueH0FqHl8XqVauE7shnFoa8KDg9Gn5zN+d3NapVqcH5lnJPX/9tIurOaFW7pOLRBOdsice711hVaDffd7M2D5R5MQGpAYKHT8zFkGyzm78zqYJR+nxPDlnY3MbfE4b7UNwL5bS7StnXAe1Zns9ZfuHVBaKnMrQ+Ogo9VfSolk1JjU1FSCrRAWbww0ppm+Z6WUHwEfFa4QQizD0klDRaUUKSkphIaGkpaWxuTJkxk4cKAidd7MZjPvvPMOb7zxBgMHDiQqKgpvb+8a70+aJYaLqUijGfvurarUI9eluaaoE0YhpnwzjgVtfDMTzdw+ZyKPO+w8s5o7d+4wadIkBg0aVOaYCq1AFt+fRoBWcOedPWSuPgcCms/rS8s/D0EIQU6mLNF3F0CjhZREM63aNoyLmJX4sIL3JLUQZ1ZRHnfv3iUkJITc3Fym5fbGJbVkDaHMrp1AhcZBh1ewH8l/2oTxejq69s3x+GgiGpd7+bGalo6W81NAoWcoHHTkHkwg73ACn6Ss49M765njNoJ/tJ2H1smO1n9/HADHwe3I2X7tXkGKnQaHh+tX9iotLY3g4GCMRiNBQUGKld2qDwQCu0ak0xdEaQdvURnrVFS4ePEiq1evRqvVsnDhQjp37mxrk8okKyuLoKAgIiMjWbhwIV999VWtpGPMeUaSlqxFf+4OCIG2jTPtlvtW2vLI3UtD19x4Lms8izLKHoo/gXm3F0ntu7L3w1zuOl/lRtsNgAZvtzn06NqjTIcvPUVycspEsi/dpePNK3ilJ6JxsceQmEVm5HlkgSRDxspTaL1ccJvfFydXUSqLzWyCFu7Kc9LrEinlaFvboFI/ZGRkEBISQk5ODgsXLqTlRT23tyYXOVDCUYfz5O61Po5d55a0j5pb7vvOozrh0MeD/JPJSJNEaKD1G0+QfyyJzxPX8XHKWma6DeM9z/lotFq8t81DV6Cv2mxmb/KP3yIr5iJCK7Dr1hL3N0fW2uaqkp6eTnBwMAaDgcDAQNq2bVtvx1YiQjaCmT4hxFws1bRdhBAxxd5qBtypa8NUGhZSSvbu3cv27dvx9PTE399fsfpMV65cwcfHhzNnzvDRRx/xxz/+sdYzken/O0r+mZQirSvjjUzuvPszbT4cX8mW0P/kXrxoQZZTM1pkpdEqM4X8kxoOxHhxy/UQt9vsQZg8cMjwITXNjRUf5fKb152xd7xnc3qKmZB/5aDPawEeLUnw6MAItxs8+scuJD23qaRERa6RnB3XcJvfF61WMP0pR2K+z0OjsTh8g8ba0ca7YTy1WhshhDOWfuMdpZTPCCG6Az2llOtsbJqKFcjMzCQkJISsrCwWLlxoKYBqD63+PpL0zw4gDSZcZzxIi2cH1bktQqvB85up5Gy7ijElB8cBnjg86MGb8/7Eh7dj8HMbwvteC9AI0Hm7FDl8YCkC8XhnNK3+OhypN6J1d663aEqhw5efn09gYCCenrbRfFUSAus4fUKIDkAIFvknM/C1lPL/VdTKUQjxN2AJlu5pz0spN1d0jIpm+vYBiYA7JUMfmcCJGnwflUaKwWAgJiaGU6dO8dBDD+Hj41MvVa81Yfv27cyZMwcpJZs2bWL8+MqdsqqgP5dSQtwUoxn9hQpVPorQtW9GmzNJtElPAiwzDXRsxtXb67nb7DzavB7YZ01EYIcEjAZJwjUTnXvdO30Pr0xBn+toaZwLmNBy3K4zg92d0bo7Fc8VBw1o3Z2Ltu3WR8dvXnfmTpKZZi01tGrTMJ5Y64jvsRSqFSZ23gAiANXpa+BkZWUREhJCZmYmCxYsKJHK0cyvN838ete7TUKnwWXivXZn//d//8dbKz/Gt+MI/u0eiFYIkODxbtkT0ZYK2+rr6dWU4mHxwMBAvLy86u3YykaglVZxuo3An6WUR4QQzYBfhRBbsURXS7VyFEI8iEXu7iGgHbBNCNFDSmkqZ//lO31SyuvAdWBYeZ9RUbl79y6hoaEkJSUxduxYHnvsMUXm70kp+eSTT/jzn/9Mz549iY6O5oEHHrDa/h0e8iBv342iECp2Gux7VU22wP298SQFrraIppol+n4tWJ1xgLuuSbinjCBbDkKIe46YlCUFk013csmKjQevHiX2azRYvLzWfx3GzUOJYLDYJhx1tHx+cInPurppcHVr0s5eId2klP4FkQ6klLlCiT9olWqRnZ1NSEgId+/eZf78+XTo0KHyjeqZ//znP/z1r3/F39+fH78PRr8vAXOWHseBXti1t33f2oyMDIKDg4vC4kqV3rIF1mrDVtC5p7B7T6YQ4iyWlrXltXL0AUKllPnAVSHEJSz6nvvLO0ZVOnIMBT4FegP2WDT1sqWUtv8VqtiU69evEx4ejslkYu7cufTo0aPyjWxAXl4ezz77LMHBwfj6+hISElJC5sQatHi6P3kHE8g/kQwa0LVrRutXR1RpW/sHWtF+UyD6U7e4kZtC9NEdGFINzPTxJzGiAxdvm8lxkEgh0NpBq7Ya2nW5d4ExXEunY+p1rrTthklrOaW1JiN9CrRV7Tq3wHvtHHJ2XLPogI3rUmKmT6UEeiGEEwXzokKIbkDZrUpUGgSFDl9aWhrz58+nU6dOtjapFJ988gkvvPACs2bNYvny5eh0OuzG1qWKUPXIzMwkODiY7Ozse2FxlSKEFNibq5wS4y6EOFxs+euyWi4KIToD/YEDlN/KsT3wS7HNbhSsK5eqFHJ8hmX6MAIYCAQC1psiUWmQHDp0iE2bNtGyZUsCAgIUq82UkJCAn58fBw8e5I033uD111+vk9Zvwl6L5/fTMFy7C0Yzdl1aIHRVP462uQNHzbfY+vMmtNKNTi0D6Ni5HX3e0zBab+bkLwZuXjXT2lPDwNH2aLT3Jp90Xq60Sr/D8OOxnOr2CEadjk7J1xj2zr2mObq2rjSf26dCG/T5kvTbZlxbaHB2bbKTW29gabvWQQixAngMS2hFpQGSk5PDjz/+SGpqKvPmzVNkYdnnn3/OsmXL8PPz46efflKctFVWVhbBwcFlhsVVLFQzpy9FSjmwwv0J4QqsBv4opcyoINhQnph8uVTp1yWlvCSE0BbEib8XQuyrynYqjQ+TycSGDRs4cuQI3bt3Z8aMGTg6OtrarDL55ZdfmDFjBhkZGURGRuLn51f5RrVACIF9l+oXr1jGdCNHjvyKVt8F+8zJJKc58tNHuSx5zRk7ew39n3Cg/xNlb69r14wWzw+CTw/heW4HGM20enk4ukoqh4sTf9FE5Fe5BfbAKF97Boxs/O3X7kdKuVUIcQQYiuWCukxKmWJjs1RqQG5uLj/++CN37txh7ty5dOminJmzQr766iuWLl3K9OnTCQ0NVVwudHZ2NsHBwWRkZDB//ny113MFWCmnj4KOZ6uBFVLKyILV5bVyvAEUz1XwBkrqD91HVZy+HCGEPXBMCPEvLPFml+p8CZXGQVZWFuHh4cTHxzNixAhGjx5dJ7Nm1uD777/n2Wefxdvbm82bN9O3b19bm1QmWVlZREREEBcXh0P+IDSZIxBoMEvIz5XcTjDTrnP5YQODXrJxeR6XTz2Abmw3hj2UTb8xTth1dCt3m/sxmyRRX+eiLxbE3BWtp1NPHa09lfn/W1cUE2lOLPjbUQjhBlyXUhrL2UxFYRQ6fLdv3yYgIICuXWvTRa9u+Oabb3j22WeZMmUK4eHh2Nvb7iHLnGsk5fXd5MTGoXG2o/Xfh8PwNoSEhJCenq7YsLhSEIDGXHunryB/+FvgbIE+ciHltXKMAX4SQnyEpZCjO3CwomNUxelbiCWPbynwJyxe5cyqfw2VxkBCQgJhYWHk5OQwc+ZM+vSpOFRoKwwGA3/5y1/45JNPGDduHGFhYYpt/J2YmEhoaCg5OTlMHO/HvlVdKe5VSAm6Sh78t4Tmc+mkCZMRjAbBnhOueAxzpDqX55wsiem+Wi+NFu7cMjc5pw/4AhiARaFAAH0KXrcWQjwrpdxiS+NUKicvL4/ly5eTnJyMv7+/VQu2rMX333/PM888w6RJk1i9ejUODvVXgXs/UkqSntlI/rFbYJSYsgzE/30bOwLyScu5q9iwuKKQVqvefQyLz3VSCHGsYN0rlNPKUUp5WggRDpzBUvn7XEWVu1AFp6+gihcgF3irJt9CpWFz4sQJ1q5di4uLC4sXL1ZsmX5KSgpz5sxh586d/OlPf+Jf//qX4vJjCjl58iQxMTE4OzuzePFiPD09STiVx7XzJox6i7PXrosWD6+Kna6rZ4wlOnoYDXD1jIlOPav+vZ1cBeK+w5hN0NKjSeb1XQOWSClPAxRIIvwV+AcQCahOn4LJz89n+fLlJCUlMWfOHLp3r73IsrUJCQlhyZIljBs3jsjISJs7fMkvbCf/cFLRunx7M1uGpZCRYWbugnmKDIsrDQHYVb2Qo1yklD9Tdp4elNHKsWCbd4F3q3qMisSZw6WUc4QQJykjMVBK+XBVD6LSMDGbzWzbto39+/fTqVMnZs+ejYuLMiP7J06cwMfHh8TERH744QeCgoJsbVKZmM1mtm/fzr59++jYsSNz5swpGlOfpx05tsdAUpyZNu019B9ph7i/Me99ODgLcrPvnZ5aHTg3q56zptUKfJY4Ev1NHkJjyekbNtEej3ZNUqC5V6HDByClPCOE6C+lvKIqtyibQocvMTGR2bNn07NnT1ubVIoVK1awaNEixowZQ3R0tM3zofOPJZO7K/7esp2ZraPucLe5kemej9GtW7cKtlYpxFLI0TCuDxVNBywr+Du1PgxRURa5ubmsXr2ay5cvM3DgQCZOnIhWq0wnYNWqVQQFBdGiRQt2797N4MGDK9/IBuTm5hIZGcmlS5fKHFONRlS7eGL8HAeivs7DbAaNBpxdBf0eq36xJsUMAAAgAElEQVQyeJfeOp55y4XUZDPNWgjcWjW5sG4h54UQXwKhBcv+wAUhhANQu4asKnWGXq/np59+4ubNm8yePZtevXrZ2qRShIaGEhgYyMiRI4mJialV20drYbqTCwVKAHo7M9tG3SHdzcCYU170/Ws5lWMqZWC18G6dU5E4c2Ei810syYEAF6SUd+vcKhWbcvv2bUJDQ0lPT2fq1Kk8+uijlW9kA8xmM2+88QbvvPMOQ4cOJTIyUrGh57oa0869dCz4ixNXz5qwdxD0flSHg1PNLj7OrgJnV2U69vXIIuD3wB+xPMD/DPwFi8On9udVIIUOX3x8PDNnzqR37/rvrFEZERERLFiwgBEjRrBu3TqcnZWhk+nQxx1MEr3OzLaRd0hrYWD00TYMXR6EplnTq96vKUJap5CjPqgovGsPfA34AlexXAA7CSGigGellPr6MVGlPjl//jyRkZHY2dkRFBSk2BL9jIwMFi5cSExMDIsXL+aLL76waW5MRdT1mHq00zbVUKzVkVLmYmk7+WEZb2fVszkqlWAwGFi5ciVxcXHMmDGDhx56yNYmlSIyMpK5c+cydOhQ1q9fr6gUGZ2nKy0+GcVPq8O409zA2MsdGPz5rIL2birVQVuhOp5yqCi8+3fADuggpcwEKOgF9znwWsE/lUaClJI9e/awc+dOvLy88Pf3x82t6rIf9cnFixfx8fHhwoULfPrppzz33HOKbf3WUMZUxYIQojvwT+BBoCjhSkqpPM2PJo7BYCA0NJTr16/j6+urSEWB6Oho/P39GTx4MBs3bsTV1dXWJpVAr9cTdTGWlJZ6Zs2czYMPPWhrkxokljZsyrsHlUVFTt8MYLCUMqdwRUEvuN9jafuhOn2NBL1ez5o1azh79iwPP/wwU6dOVZxIaCGbN28mICAArVbL1q1bGT1amRE3vV5PdHQ0Z86coW/fvkybNk2xY6pSgu+xdOX4D5Zw7lOUX02nYiOMRiNhYWFcuXIFX19fHn5YeXWFa9euZfbs2Tz66KNs2rTJ6q0fa8v9YXHV4as5QoKdqWFcJirK1jYXd/gKkVJmUUmbD5WGQ1paGt9++y3nzp1j/Pjx+Pr6KtI5kVLy73//m8mTJ9OxY0cOHTqkWIcvLS2N7777jrNnzzJ+/Hj8/PwUOaYqZeIkpdwOCCnldSnlm8CY2uxQCDFbCHFaCGEWQpTbfkkIMVEIcV4IcUkI8XJtjtmYKXT4Ll++zPTp0+nXr5+tTSrFhg0bmDVrFv369WPTpk00b66sVvUNISzesLAUclTln62paKZPCiFaUvZTrrmO7FGpR65evUpERARSSubPn6/Y8vzc3FyefvppfvrpJ2bNmsUPP/xQ7bwY/cVU8o4loXN3xmlkp0qlUGpK4ZiazWbmzZtXJAxryJMcCc4n5YIJlzYaBi52wNWjyVbIKpk8IYQGuCiEWArcBNpUsk1lnMISOfmqvA8IIbRYUmfGY2mtdEgIESOlPFPLYzcqjEYj4eHhXLp0iWnTptG/f39bmwSA4WYG+YduIpo5sCfvHDNmzqBPnz5s2bKFFi2q35qxLil0+K5du4afn58iw+INDWt15KgPKnL63IBfqUFDXxVlI6Xk4MGDbN68GXd3dwICAhTbtSI+Ph4/Pz+OHDnCO++8wyuvvFLt/L2sTZdIeSXW8ksW4NDfE8+vpljV8Ss+pq1btyYgIIDWrVsXvbf737ncuWTGbICsWya2vpbDlI9csHduGBeKJsQfAWfgeSyCzGOwtD2qMVLKs0Blv9vBwCUp5ZWCz4YCPliU9lWw9KhetWoVFy9eZMqUKQwYMKDyjeqBvMM3ufXsWhDwc8Y5nr70Bb37PsTWrVtp2bKlrc0rQeEs6dWrVxUbFm+QyEZQyCGl7FyPdqjUE0ajkfXr13Ps2DF69uyJn5+fYqtef/75Z2bOnElubi7R0dFMmzat2vuQUpLyaiwy717bivyjSeTujsN5lKVZWU6qmfh9RqRZ4j3YDtdqth4rPqY9evRgxowZJcZUnw13LpgxFzTHkWYwGeD2ORPtByizY0hTRUp5qOBlFpZ8vvqiPRBfbPkGMKSsDwohngGeARRbXW9tCh2+8+fPM2nSJAYOLDdKXu+kvLodmWtkX/Z5lsR9RRfHNkT94VPFPUg3hLB4Q8VSyGFrK6qGesdpQmRmZhIWFsbNmzd54oknGDVqlCKrXgG+/vprli5dSufOnYmNja259pbRjMw3llwnwZRiSVfNSjaz9eVsjHrL+jOResa85UyLTlWTQMnMzCQ8PJwbN26UO6YaTVktbUCjnn2KQQixlgoiGFLK6ZVsvw3wLOOtV6WU0WWsL7WLsg5bji1fY5HTYuDAgQ3kVlNzTCYTkZGRnDt3jokTJypOfN2Ulssv2RdZEvcVnezdWd7xOdxylZXDq9SweGNB0HAKOdTbThPhxo0bhIWFkZ+fz+zZs3nwQWVWaun1epYtW8Z///tfJk6cyMqVK2uVEyPstNg90ArDpTQwF9wfpcShX1sAzqzOx5BL0e3VaILjy/MZ+Wrl4qk3b94kLCyMvLy8CsfUzlnQabiO+ANGTHqLs+fcWtCmt6qtpyD+rzYbSynH1fL4N4AOxZa9gYRa7rPBYzabiYqK4syZM0yYMIEhQ8qc/LQpR9umsuTX/+Jt15rlnZbi7tISx4HtbG1WEUoNizcqJGgaSKWD6vTVEZnpZq5fMmFnD90e1KHT2e4p4NixY6xbt45mzZqxYMEC2rZtazNbKiI5OZlZs2axZ88eXnzxRd577z2rtH7z/HIySb/bgOFSKsJRh/s7o7Hvbgm95N+VpeZT9FmVT54cP36ctWvX0qxZM5YsWVLpmA7+rQMtu2i4fdZEMy8ND063R2vXMJ4MmwivSynHCiE+kFK+ZIPjHwK6CyG6YCkeCQDm2cAOxWA2m1mzZg2nT59m/PjxDBs2zNYmlWLv3r0sjH0PL1d3fvJaioejGy2eH4rT0A6Vb1wPKDks3phoFOFdIUSFCQlSylTrm9M4SIw3seIzS/hQAm4tNSz6kzP2DvV7kzebzWzZsoUDBw7QpUsXZs2apZj2P/dz5MgRfH19uX37NitWrGDePOvd73RernivmYM0mECnKRF+9XxEy61TJswFEWCtPXgPKf9ZqPiYdu7cmdmzZ1dpTDUaQc+J9vScWOuvo1I3eAkhRgLTC4ooSpysUsojNd2xEMIP+BTwANYLIY5JKZ8UQrQDvpFSTpZSGguqhTcDWuA7KeXpGn+bBo7ZbCY6OpqTJ08yduxYhg8fbmuTSvHLL78wadIkvLy8iI2NxbN1G4Sdts6UAaqL0sPijQ1tI5jp+xWLz1JeromqUF8OG0Lz0OffW05LMXNkr56hY+qvYCInJ4dVq1Zx9epVhgwZwoQJE9BolCkREhoayuLFi2ndujU///xznfX6FXYlZw0zE8ycCtcjC5/QBHQdY0ev6WX3nCw+poMHD2bChAlWmYlUUQSvAy9jCat+SMnrnqQWWn1Syiggqoz1CcDkYssbgA01PU5jQUrJ2rVrOXHiBKNHj2bEiBG2NqkUBw8e5Mknn6RNmzbs3LmTdu2UE86FhhEWb0wI2Qhm+qSUXerTkMZEVkbJ/32TEe6m1t8v4tatW4SGhpKZmYmPjw+PPPJIvR27OphMJl599VU++OADRowYwapVq+o19Pzrt3kl8vk0WtA6UOaTenJyMqGhoWRkZDB9+nQ1EbqRIaVcBawSQrwmpfyHre1pqhQ6fMeOHWPkyJE88cQTtjapFL/++isTJkzA3d2dnTt30r59e1ubVIKGEBZvjOhMtragalSa0ycssbD5QBcp5T+EEB0BTynlwTq3roHSoauWi6eNmApChnb20Kl7/cwInTlzhjVr1uDg4MCiRYvw9vaul+NWl/T0dObNm8fGjRv57W9/yyeffIK9fdkzbHVFToq5RD6f2QjZyaWd87NnzxIVFaX4MVWpParDZzuklKxbt46jR48WVcIrjaNHjzJ+/HhatmzJzp076dBBGbl7hTSEsHhjRDSyQo4vsHTgGINFrDQTWA0MqkO7GjRT5joS8U0u8ZdNCAFDRtvTq1/dlvBLKYmNjWX37t20b98ef39/xfV6LOTcuXP4+Phw5coVvvzyS5599lmb2OHxoJacVCNmg2VZ6wBt+txzzqWU7Nq1i127dtG+fXvmzJmjuHZKKiqNASklGzZs4MiRI4wYMUKRDt/x48cZN24czZo1Y+fOnYrTSGwIYfHGjEY2jPhuVZy+IVLKAUKIowBSyjQhRP1OyTQwHBwFC5Y6YzRINFpLEn9dkp+fT1RUFOfPn+eRRx5hypQp6HTKLMxet24d8+fPx8HBgR07dvD444/bzJb+QY7kpOSSfNoyL995pB1dx1ic8/z8fNasWcO5c+fo5tkXt5Nj2H1MQ7fx+fSabq9YfUMVlYaGlJJNmzZx+PBhhg8fzpgxYxR3fhXOnDk7O7Nz5046d+5sa5NK0BDC4o0ZSxs2W1tRNariGRgK+kJKACGEB2rv3SqhqwdJjtTUVEJDQ0lJSSmq0FLaBRMsF6V//vOf/P3vf6d///5ERUXVyZNyXoaZ9GtmHN1EpQLLOkfByFedMeZJhJYiCZXiYzrswfFkrO1Drl4AkjORejR20HOyMruYqNQMVa3ANkgp2bx5MwcPHmTo0KGMGzdOcdev06dPM3bsWBwdHdm5cydduyqrhrF4WPzxxx9n5MiRtjapSdLg27AV4xMslWdthBDvArOAv9epVSpV4tKlS6xevRohBAsXLqRLF2XW3mRnZ7N48WLCw8OZO3cu33zzTZ1Ix9w+Z2TP+7kIAWYTdBiuY9BvHSu9iegc771/+fJlVq1ahRCCBQsWkLjGi3T9vY4epny4tsuoOn2ND1WtoJ6RUrJ161YOHDhQpDCgNIfv7NmzjBkzBp1Ox44dO3jggQdsbVIJ7g+Ljx49WnFj2BSw5PRZx+sTQnwHTAWSpZR9Cta9CfwGuF3wsVcKqv0RQvwNWAKYgOellJsr2n+lTp+UcoUQ4ldgLJYLom9hA3EV2yClZP/+/Wzbtg0PDw8CAgIU19i7kGvXruHr68uJEydY9rv36Oi6lC9eM9OzXy6T5jpadTZ033/yMObdW76x30jHYSY8+1X+bCOl5JdffmHr1q0lxjTFKdfyqy92PuscrWayikJQ1QrqFykl27dvZ//+/QwaNIgnn3xScc7K+fPni0LNO3bsoEePHrY2qQQNISzedJBoTVab6vsB+AwIuW/9f6SUJToHCSEexCLk/hDQDtgmhOghpSy3lriq4szJwMri79Um3CGEmA28CfQGBkspD9d0X00Ng8HAunXrOHHiBL1798bX17feq16rSmxsLLNnz8ZgMPDNFzGkXhyFvsApO3/chJ1DPhP9reNBSbO0dNcovk5C1q3KMxEqGtNe0+25ccCIMR+QFvHmvv7qLF9jRVUrqHuklOzYsYO9e/fy6KOPMmnSJMU5KxcvXmT06NGYzWZ27txJr169bG1SCRpCWLwpYc2ZPinlbiFE5yp+3AcIlVLmA1eFEJeAwcD+8jaoqjhzRyCt4HULIA6ozZPxKWAG8FUt9tHkyMjIIDQ0lMTEREaPHs3jjz+uyBNdSskXX3zBsmXL6N69O9HR0Vw52pFkw70wqdEAl0+ZwN86xxQagWtbQdatkidei04VC1JnZGQQFhZGQkICo0aN4oknnkAIgZSSzHSJyV4w7j1nru4wYDZBp8ftaNVVFWRuxKhqBXXMrl27+PnnnxkwYABTpkxR3DXs8uXLjB49GoPBwM6dOxXXp7whhMWbItVw+tyFEMUnur6WUn5dhe2WCiECgcPAn6WUaUB74Jdin7lRsK5cKhVnFkL8F4gpFj+eBNSquXhheFj9oVaduLg4wsPDMRgMBAQE0LNnT1ubVCb5+fk899xzfPvtt0ydOpXly5fj5ubGrUv5aLSWXLtCHF2s+/8/4kUndr6dizFPIk3Qe4Y97j3Lf66Jj48nPDwcvV6Pv79/0dO82SSJ/DaPq+dMCA20ctcw73knHJ3V32sTQFUrqEMKJZAeeeQRpk6dqrh7wNWrVxk9ejR5eXns2LGDPn362NqkEjSEsHhTpJodOVKklNVtgvwllodQWfD3Q2Ax5ecgl0tVCjkGSSmLhNSklBuFEKqAaT3y66+/smHDBlq0aEFQUBAeHh62NqlMkpKSmDFjBvv37+fVV1/l7bffLmr9NnCkPcf3G8nLkZjNoNXChNnWDZM2b69l2ucuZKdIHFwF9q7lXwyPHDnC+vXrcXNzY+HChbRp06bovYOxBq6dNxWJa6fcMrM5PA+fRU5WtVdFkahqBXXEnj17iI2NpV+/fkyfPl1xzsq1a9cYPXo0WVlZ7Nixg4cfftjWJpWgIYTFmzLWCu+WhZTyVuFrIcT/gHUFizeA4grh3kBCRfuqitOXIoT4O7Acy4VwAXCnso2EENsAzzLeelVKGV2F4xbu5xngGUBxYph1jclkKkrU7datGzNnzsTJSZmOx6FDh/Dz8yMtLY3w8HBmz55d4n0nF8HTf3PmzK9GDAbJAw/paN3W+r2ANTpBM8/yL4Qmk4nNmzdz6NAhunbtyqxZs0qNaeI1E0bDvWWzCZLi1ft+E0FVK6gD9u7dy44dO+jbt68iHb64uDjGjBnD3bt32b59uyJbV8bGxio6LN6UEVKiM9XdPUII4SWlTCxY9MOSIgcQA/wkhPgISyFHd6DC/OOqOH1zgTe41zB8d8G6CpFS1ioEXGw/XwNfAwwcOLCBKOHUnuzsbCIiIrh+/TrDhw9n7NixRbNmSiMkJIRnnnkGT09P9u3bR79+/cr8nKOzYMDjdduZpCKys7NZtWoV165dY9iwYYwbN67MMXX30nD5tAljwUyf0FAnDqqK8lDVCqzPvn372LZtG3369MHX11dx17EbN24wevRoUlNT2bZtGwMGDLC1SaXYtWsXu3fvVmxYXAWE9SRbVgKjsOT+3cDif40SQjyCZeLtGvBbACnlaSFEOHAGMALPVVS5C1WTbEkFlgkhmgNmKWVWzb+OSlVITEwkLCyM7Oxs/Pz8FBdmKMRoNPLSSy/x0UcfMWrUKCIiInB3d7e1WWWSlJREaGgoWVlZlY7p0HH2XDlrIiXRjBAWZ/VJtWK3UVOXagVNmUIZpAcffBA/Pz/FOXwJCQmMHj2alJQUtmzZwsCB1U21qnuKh8WnTZumOnwKRWO2zkyflLKsSbVvK/j8u8C7Vd1/pU6fEKIvFr2YVgXLKUCQlPJUhRtWvE8/4FPAA1gvhDgmpXyypvtrTJw6dYro6GicnZ156qmnaNeuna1NKpPU1FQCAgLYunUrf/jDH/jwww+xs7PdLF5FnD59mujoaBwdHXnqqado377C4ibs7AUL/+TErXgzJhO09dZgZ69eaBs5dalW0CQ5ePAgmzdvpnfv3syYMUNxDl+hCkJSUhJbtmxhyJAhtjapFD///HOJsLjSxlDFgpCyUfXe/Qp4QUq5E0AIMQpLuHV4TQ8qpYziXrhYBTCbzUVJuh06dGDOnDm4urra2qwyOX36NNOnTyc+Pp5vvvmGJUuW2NqkEtw4aOD2WRNOrQXxDj+zb9/P1R5TjUbgVUkbN5XGQ12qFTRFDh06xMaNG+nVqxczZ85Eq1XWuXTr1i3GjBnDzZs32bRpE8OGDbO1SaXYt28f27dvV2xYXKUk1grv1jVVcfpcCh0+ACllrBDCpQ5tanLk5eURGRnJxYsXGTBgAJMnT1bcRbKQNWvWsHDhQlxdXdm1a5fiLpYnw/K5sEGP3pBPovdGMl2u8Mgj/ZkyZTI6XVV+7ipNHFWtoJYUqg306NGDWbNmKe5alpyczJgxY4iLi2Pjxo2MGDHC1iaVQulhcZWSCAk6Y4WpdIqhKnfBK0KI14AfC5YXAFfrzqSmRUpKCqGhoaSlpTFlyhRF5pSAZSbynXfe4Y033mDQoEFERUVVGiatb0xGybkYPXnaNG50XoPe/i7tUsYw0Huo6vCpVJUaqRVURFU7EAkhrmERgzYBxhpoedmco0ePsm7dOrp3787s2bMV5/ClpKQwbtw4rl69yoYNG3jiiSdsbVIplB4WVykLiZANQ+GhKnfCxcBbQCSWHJfdwFN1aVRT4eLFi6xevRqtVktgYCCdOnWytUllkpmZSVBQEFFRUQQGBvLVV1/h6Ki8BrRmI2Q6X+Wm1waE1NAxbiZu5g6Y8m1tmUoDokZqBZVQnQ5Eo6WUKbU8nk04duwYMTExPPDAA8yZM0dxD1p37txh3LhxXLx4kXXr1jFq1Chbm1QKpYfFVcqnLnX6rElVqnfTgOfrwZYmg5SyKEHX09MTf39/WrRoYWuzyuTy5cv4+Phw9uxZ/vOf/7Bs2TJFVo9JKTlweC/x7bfjmO+Bd7wPdsbm4AQevdULp0rVqAu1gqbQgejEiRNER0fTtWtXRTp8qampjB8/nnPnzhETE8PYsWNtbVIplB4WVykfIUFYqXq3rin3zBRCxFS0oZRyuvXNafzo9XpiYmI4ffo0Dz30ED4+Poqtet22bRtz5swBYPPmzYwbp8x8doPBQExMDKdOnaJ3zwdpe3M86Xd0OLUUDHrWEaeWanhEpWrUhVpBNZDAFiGEBL4qrx+n0gTrT548yZo1a+jSpQsBAQGKu56lp6czYcKEoir+CRMm2NqkUhw5ckTRYXGVypBoGkF4dxgQj0Wv6gBl93hTqQbp6emEhYWRlJTE2LFjeeyxxxT59C+l5OOPP+Yvf/kLvXv3Jjo6mm7dutnarDK5e/cuoaGhJCUlMWbMGEaMGKHIMVVpMNRIrcBKHYgek1ImCCHaAFuFEOeklLvv/5CSBOtPnTpFVFQUnTp1Yu7cuYpz+O7evcuECRM4ceIEUVFRTJw40dYmleLYsWOsXbtWsWFxlarR4Gf6sFzAxmPJZ5kHrAdWSilP14dhjY1r164RERGByWRi3rx5dO/e3dYmlUleXh6//e1vCQkJwc/Pj+DgYJo1a2Zrs8rk+vXrhIeHYzKZmDt3Lj169LC1SSoNnxqpFVijA5GUMqHgb7IQIgoYjCWnUJGcOXOGyMhIOnTooEiHLyMjg4kTJ3Ls2DFWrVrFlClTbG1SKY4fP67osLhK1RBSoi1s1q5wyv2FFbTy2ARsEkI4YHH+YoUQb0spP60vAxs6UkoOHz7Mpk2baNmyJQEBAYrtWnHz5k1mzJjBwYMHefPNN3nttdcUWzl2+PBhNm7cqPgxVWlw2EStoMCx1EgpMwteTwDeruvj1pSzZ8+yevVqvL29mTdvHvb29rY2qQSZmZlMmjSJw4cPEx4ezvTpystGOnnyJNHR0YoNi6tUj8Yw00eBszcFi8PXGUsz8si6N6tsjAaQZonQNIzwnclkYsOGDRw5coTu3bszY8aMGle95meYOb1aT06KGc9HdHQbZ2fVMOb+/fuZMWMGWVlZREVF4evra7V9WxOTycTGjRv59ddfaz2mKiplYHW1gvI6EAkh2gHfSCknA22BqIJzWgf8JKXcVJvj1hXnz59n1apVtGvXjvnz5+PgoKwWhVlZWUyePJkDBw4QFhaGn5+frU0qRfGwuOrwNQJkI8jpE0IEA32AjcBb9ZTIXCEpt8z8+Gkuc3/npPi2WFlZWYSHhxMfH8+IESMYPXp0jWfNDDmSLS/nkHdXIk1w65SJzJtm+i+yjrPz3Xff8bvf/Q5vb2+2bt1Knz59rLJfa5OVlUVERARxcXG1HlMVlbKoC7WC8joQFYRzJxe8vgL0s+Zx64ILFy4QHh6Ol5eXIh2+7Oxspk6dyr59+1i5ciUzZ860tUmluD8srrRZUpXqIwBhbvjizAuBbKAH8HyxWSUBSCll8zq2rRRSQlK8ib1b9YyaoqyLTXESEhIIDQ0lNzeXmTNn1tqJSjxmRJ9tcfgATPlwaYuBfoEOaGox62kwGHjhhRf47LPPGD9+PKGhobRq1aryDW1AQkICYWFh5OTkWGVMVVSKo6oVVM7FixcJDw+nbdu2LFiwQHEz7Dk5OUybNo09e/awfPnyIuUBJaH0sLhKTWkE4sxSSkVOoRiNcOuGcj3qEydOEBMTg6urK0uWLMHTs6yCvuphLi8/1AzU8H8pJSWF2bNnExsbywsvvMAHH3yg2CTiEydOsHbtWlxcXFi8eDFeXl62Nkml8aGqFVTA5cuXCQsLw8PDg4ULFyrO4cvNzcXHx4fY2FhCQkKYO7e2etrW59y5c4oOi6vUAinRmAy2tqJKKPMuXwE6O2jrrTwNI7PZzLZt29i/fz+dOnVi9uzZuLhYp0WxZz8tGh2Y9IAEjR149dei0dXsvnT8+HF8fX1JTEwkODiYwMBAq9hpbepyTFVU7kNVKyiHK1euEBoairu7OwsXLsTJycnWJpUgLy8PPz8/tm/fzvfff8+CBQtsbVIpLly4QEREhGLD4iq1p8HP9CkRIcDTW8tj45U1JZ6bm8vq1au5fPkygwYN4sknn7SquKajm4Zx/3DhyA955KZK2vbV8vC8ml00IiIiWLRoES1atGDPnj0MGjTIanZak+JjOnDgQCZOnKgKlqrUGapaQdlcvXqVlStX0qpVKwIDA3F2dra1SSXIz89n5syZbN68mW+//ZagoCBbm1QKpYfFVWqPQCKkciOQxWlQTp97Ww0L/+CkqOrd5ORkQkNDuXv3LtOmTWPAgAF1cpxm7TSMfKXmF1yz2czrr7/Ou+++y7Bhw1i9erViw6S3b98mNDSU9PR0pk6dyqOPPmprk6qFNEvOHzdxN9VMW28NnXs2qNOsyaI0tQJbc/36dVauXEnLli0V6fDp9Xpmz57Nhg0b+Oqrr1i8eLGtTSqF0sPiKtZDdfrqgLQUMycPGXh4iDJm+s6dO0dUVBR2dnYsWrSIDh062NqkMsnIyGDBggWsXbuWJUuW8Pnnnys2vHD+/PeICw0AACAASURBVHkiIyOxs7MjKChIEW2mqoOUkqjv87h61oTJBFotDBlrx4hJyhxvFQtKVCuwJXFxcaxYsQI3NzcCAwMVl1ZhMBiYM2cOa9eu5YsvvuCZZ56xtUmlUHpYXMWKSHWmr04wGmHTqnwcnAQ9H7adrpGUkt27dxMbG0u7du3w9/enefN6L2auEhcuXMDX15cLFy7w2Wef8fvf/16RbcqklOzZs4edO3fi5eWFv78/bm5utjar2iTGmbl61oRBb1k2m2DfFgMDR9nj6KS8cVcpQnFqBbYiPj6eFStW0Lx5cwIDA3F1dbW1SSUwGAwEBAQQHR3Np59+yu9+9ztbm1QKpYfFVayNRCPVQo46wWiAkwcNNnP69Ho9a9as4ezZszz88MNMnTpVscKamzZtKhL+3LZtG6NGjbK1SWXSkMa0MvKyJfdLB2o0kJ8rVadPwShVraC+uXHjBsuXL8fV1ZWgoCDFtWA0Go3Mnz+fyMhIPv74Y5YuXWprk0px7do1RYfFVayPQCJQZ/rqjNwc2/QYT0tLIzQ0lNu3bzNhwgSGDh2q2Fmzf//737z88ss8/PDDrFmzhs6dO9varDIpPqbjx49n2LBhihzTquLZQYss9vMUApxdBc1aNNzvpNI0uHnzJsuXL8fFxUWxDt/ChQuJiIjgww8/ZNmyZbY2qRRxcXH89NNPig2Lq9QhDSS82/CebiVobeAUXLlyhf/9739kZGQwf/58xTonOTk5zJ8/n5deeolZs2axd+9exTp8V69eLRrTefPmMXz4cEWOaXVwbiYIeM6J5q0EGi14tNMw7w9OtRLRVlGpaxITE1m+fDlOTk4EBQUpLl3FZDKxaNEiQkND+eCDD3jhhRdsbVIplB4WV6lLLDN9VflXGUKI74QQyUKIU8XWtRJCbBVCXCz427LYe38TQlwSQpwXQjxZ2f4b3EyfBmjeov58VSklBw4cYMuWLbi7uxMQEKDYrhVxcXH4+flx9OhR3nvvPV5++WVFOlFSSg4ePMjmzZtp3bo1c+fOVeyY1oR2nbX8/k31CV+lYZCUlERISAgODg4EBQUpLpfWZDKxePFiVqxYwXvvvceLL75oa5NKofSwuErdY8Xw7g/AZ0BIsXUvA9ullO8LIV4uWH5JCPEgEAA8BLQDtgkhehRIUJVJg3L6BGBvLxg2oX6qd41GI+vWreP48eP06tULX19fxVa97tmzh1mzZpGbm0tMTAxTp061tUllYjQaWb9+PceOHaNnz574+fkpdkxVVBo7t27d+v/t3Xl8FPX9+PHXG0S8UFDACxEURPBCyqEUITGCHEo4AgHkVIq1VWrV1uuLWqzWij9LPfpApGqgSDhiEoHIEQgiAgIqN6IIiCAgidxHyPH+/TET3MCGHCSZ2c37+Xjkkd3Zmdn3TNgP7/2cjB8/nrPPPptBgwZRvXp1r0PKJzc3l9/97neMHz+ekSNH8vTTT3sd0in83ixuyoMCBS2dVcwzqS4UkXonbY4GItzHccAC4El3e7yqZgJbRGQT0BJYUtD5Qyrpu+BC4f4nz6N6zbKv6Tt48CCTJ09mx44dtGvXjnbt2vmy1gzgnXfe4eGHH+aaa67h008/5frrr/c6pKAOHjzIlClT2L59O23btiUiIsK399SYcPfzzz8zfvz4E9Mj1ahRo/CDylFubi4PPvgg77//Ps8//zwjRozwOqRT/PTTT75uFjflRRE5XtSda4rIioDnY1V1bCHHXKqqOwFUdaeI1Ha3XwksDdhvu7utQKGV9F0k5ZLwbd++ncmTJ5OZmUnv3r1p3Lhxmb9nSRw/fpw//elPjBkzhk6dOvHhhx/67pt6nu3btzNlyhSOHTtGr169aNKkidchGVNh7dmzh7i4OCpXrszAgQN9171CVfnjH//IuHHjePbZZ3n++ee9DukUu3btYsKECb5tFjflSREpcvNuuqo2L6U3DlZrctqRriGV9JWHr7/+mpkzZ1KtWjX69+/PpZde6nVIQe3evZuYmBgWLVrEk08+yUsvveTbZcpWrlzJjBkzqFatGg888IBv76kxFUF6ejpxcXFUqlSJgQMHcskll3gdUj6qyiOPPMKYMWN46qmnePHFF33XIuD3ZnFTzkSh6ElfSewWkcvdWr7LgZ/d7duBwFUh6gA/ne5ElvS5cnJymDNnDsuWLaN+/frExMT4dn6lr776im7dupGens6HH35I3759vQ4pqNzcXObMmcMXX3zh+3tqTEWQkZFBXFwcAIMGDaJmzZoeR5SfqvLoo4/y9ttv88QTT/Dyyy/7LuHze7O48UqZJn0fA4OAV9zfyQHbPxSR13EGcjQElp3uRJb04UxzMnXqVLZu3UqrVq3o0KEDlU6eYdcnJk2axP3330+tWrVYtGhRma31e6aOHDnCtGnT2LJli+/vqTFlSURGAfcCx4HvgSGqui/Ifh2BfwOVgXGq+kppxvHLL78QFxdHbm6ubxO+xx9/nDfeeINHH32UV1991XcJn9+bxY1XSq+mT0Qm4QzaqCki24HncZK9KSLyALAN6AWgqutEZAqwHmckyR9PN3IXLOlj9+7dxMfHc/DgQaKjo2natKnXIQWVk5PDM888w6uvvsodd9zBtGnTqF27duEHeiBU7qkx5WQu8LSqZovIP4GncUbenSAilYG3gfY4TTbLReRjVV1fGgHs3buXuLg4cnJyGDhwoO/KDlXlySef5F//+hePPPIIr7/+uu8SPr83ixvvCIpUyiyVc6lqQU13UQXs/xLwUlHPH1JJ36EDyv69uVxUo3RqjNavX09SUhLnnHMOQ4YM4corTzvoxTN79+6lX79+zJo1i4ceeojRo0dz9tnlM21NcW3YsIHExESqVq3K4MGDqVOnjtchGeMpVZ0T8HQpEBNkt5bAJlXdDCAi8TjTMZxx0rdv3z7i4uLIyspi4MCBvutTq6o888wzjBo1ij/84Q/8+9//9l3CF9gsPnDgQN/VkhqPiUKl0FiRI7SSvv3KuH8e5v4nzqfGGYziVVXS0tL47LPPqFOnDr179/bt3EobNmwgOjqaLVu2MGbMGB588EGvQwpKVVmwYAELFy7kyiuvJDY21rf31BgP3Q9MDrL9SuDHgOfbgVbBTiAiw4BhAHXr1j3tm+UlfJmZmQwcOJDLLrusREGXFVXlueee45VXXuHBBx/kzTff9F3Cd3KzeK1atbwOyfhOmQ/kKDUhlfQpcDwTFs3J5N5+55boHJmZmSQmJrJx40aaNm1Kly5dOOssf96G6dOnc99993HuueeSlpZGmzZtvA4pqFC6p8aUBRFJBYJlVM+qarK7z7M4/W4mBjtFkG1Bp15w5/QaC9C8efMCp2fYv38/cXFxHD16lIEDB3L55ZcXchXlb+TIkfz9739n6NCh/Oc///Fdv9+8hM+vzeLGRyzpKxuqsD8jt0THZmRkEB8fT0ZGBp06daJFixa++1YJzrffl19+mREjRnDrrbeSlJTEVVddVfiBHvjll1+Ij48nPT2djh070rJlS1/eU2PKkqredbrXRWQQcA8QparBErViT71wOgcOHDiR8A0YMIArrriipKcqM3//+9954YUXGDx4MO+8847vEr68fpB+bRY3fmLNu2UqJ/e0cw8GtWnTJhISEhARBgwYQP369csgsjN3+PBhhgwZwtSpU+nXrx/jxo3j3HNLVqtZ1r7//numTZvm+3tqjJfcUblPAu1U9UgBuy0HGopIfWAHznqa/UryfgcPHiQuLo7Dhw8zYMAAX/ZV/sc//sGIESMYMGAA48aN813Cl9csfvz4cV82ixt/UVG0UpFX5PBUSCZ9519Q9AJCVVm8eDHz5s2jdu3axMbG+nZepS1bttCtWzfWrl3LqFGjePzxx31Za6aqLFmyhNTUVGrVqkWfPn18e0+N8YG3gKrAXPfzvFRVfy8iV+BMzdLZHdn7MDAbZ8qW91R1XXHf6NChQ8TFxXHo0CH69+/vy4FUo0aN4plnnqFfv368//77vptUPq9Z/NixY75tFjd+YzV9ZeasKnBLq6KNXM3KymL69OmsWbOGJk2aEB0d7dtRr2lpafTq1Yvs7GxmzpxJx44dvQ4pqKysLGbMmMHq1atp3Lgx3bp18+09NcYPVLVBAdt/AjoHPE8BUkr6PocPHyYuLo4DBw7Qv39/X3YJ+de//sVf//pX+vTpc2K+Oz8JhWZx41PWp69gRZ2sNOixuVDz0sJr+vbv38/kyZPZuXMnkZGR3HHHHb6tNXvrrbf485//zHXXXUdycjINGzb0OqygDhw4wOTJk/npp5+IiIigbdu2vrynxlQ0eQnfvn37uO+++wod1euFN954g8cee4xevXoxYcIE3w32CoVmceNTomilko01KG9edaSYC9yoqjcD3+JMVlooAXKyhcVzTt92vm3bNt59910yMjLo06ePb5OTzMxMhg4dyvDhw+ncuTNLly71bcK3bds2xo4dS3p6OrGxsbRr186X99SYiubIkSOMHz/+xHye9erV8zqkU7z99tv86U9/onv37kycONF3CV8oNIsbn5Ocov14zJNPXhEnKy3gYDh6uOCBHF9++SUpKSlUr17d13Mq7dy5k549e7JkyRL+7//+j7/97W++68ycJ/Ce2rQFxvhHbm4uEyZM4JdffqFv376+HEw1ZswYHn74YaKjo4mPj6dKlSpeh5RPXsLn52Zx43c2T19xFDRZKZB/ItLq1a6iytnQuNmpYefk5DBr1ixWrFjBtddeS8+ePX076nXZsmV0796dffv2MXXqVGJiip7zlqdQuqfGVEQZGRns2bOHPn36cM0113gdzineffddHnroIe655x6mTJniu/6/hw8fZvz48b5uFjchQBStnOV1FEVSZklfKUxWCuSfiLTu5c20bZezuaF5/m+Khw8fZurUqfzwww+0bt2aqKgo39aajR8/nmHDhnH55ZezZMkSbr75Zq9DCiqU7qkxFVV2djaxsbE0aBB0rIin3nvvPYYNG0anTp2YNm2a7xK+UGgWN6FDK/ro3VKYrPQUta+sRIvI/AXHzp07iY+P58iRI/To0YObbrqpxDGXpezsbP7yl78wevRoIiMjmTJlim/Xb9y1axfx8fEcPnyY7t27+zYxNaaiq1Gjhi/7AcfFxTF06FA6dOjARx99RNWqVb0OKZ+jR48yfvx4XzeLm1CizijTEODV6N2iTFZaqLVr15KcnMx5553HkCFDfDu8PiMjg9jYWObNm8fw4cN57bXXfNevJU+o3FNjDJxzzjleh3CK//3vfwwZMoSoqCiSkpJ8F2Newpeenu7bZnETYsRq+goTdLLSoh6cm5vL/Pnz+fzzz6lbty69evXiggsuKKtYz8jatWuJjo5m+/btvPfeewwZMsTrkILKzc0lLS2NRYsWcdVVV9G7d2/f3lNjjD9NmjSJQYMGERERQXJysu/6AB87doz//e9/7Nmzx7fN4ib0KIpaTV/BCpqstCiOHTtGQkICmzZt4je/+Q2dOnXy3QSfeRITExkwYADVqlXj008/5bbbbvM6pKCOHTvGRx99xHfffUezZs3o3Lmzb++pMcafpkyZQv/+/bnjjjuYPn065513ntch5ZOX8O3atYvY2FhfNoubEGUDOcpGdnY248aNY+/evXTp0oXmzZt7HVJQubm5jBw5kr/97W+0bNmSjz76yLcTfaanpxMfH8/evXvp3LkzzZs3t/n3jDHFkpCQQL9+/WjdujUzZszg/PPP9zqkfDIzM5k4cSI7d+6kV69eXHfddV6HZMKN1fSVvvT0dI4ePcrAgQO5+uqrvQ4nqIMHDzJw4ECSkpIYNGgQY8aM8V2fljzfffcdCQkJVK5c2df31BjjX0lJSfTp04dWrVqRkpLiu24heQnfjh076NWrF9dff73XIZmwo9anryxUrlyZYcOGcdFFF3kdSlDff/890dHRfPPNN4wePZrhw4f7stZMVfn888+ZN28el112GbGxsVSvXt3rsIwxIWb69On07t2b3/zmN3zyySdUq1bN65DyOX78OB9++CHbt2+nZ8+eNG7c2OuQTJiyPn1loGbNmr5N+ObOnUtsbCwiwuzZs4mKivI6pKCysrJITk5m3bp13HDDDURHR/t2JLExxr9SUlKIiYmhadOmzJ49mwsvvNDrkPLJyspi0qRJ/Pjjj/To0YMbbrjB65BMuBIbyFEm/FprNnr0aJ544gmaNGlCcnKyb6cA2LdvH5MnT2bXrl1ERUXx29/+1pf31Bjjb7Nnz6Z79+7ceOONzJ4923dfxvMSvh9++OFEnMaUFUXRytmlci4R2QocBHKAbFVtLiIX46xcVg/YCvRW1b0lOX9IJX1+c/ToUR588EEmTJhAjx49iIuL811/ljxbt25l6tSp5OTk0K9fPxu5Zowpkblz5xIdHU2TJk2YO3cuNWrU8DqkfLKzs4mPj2fLli1069bNtxP2m/BSyjV9kaqaHvD8KWCeqr4iIk+5z58syYkt6SuhHTt20L17d5YvX87IkSN59tlnfblMmaqyYsUKZs2aRY0aNejTp49vVwIxxvjb/Pnz6dq1K40aNSI1NZWLL77Y65Dyyc7OZvLkyWzevJmuXbtyyy23eB2SqQgEtFKZNu9GAxHu4zhgAZb0lZ/FixfTs2dPDh06RGJiIt26dfM6pKBycnJISUnhq6++omHDhvTo0cO3I4mNMf62YMEC7rnnHho0aEBqaiqXXHKJ1yHlk52dzZQpU9i0aRP33nsvt956q9chmQqjWH36aorIioDnY1V1bL6TwRwRUeAd97VLVXUngKruFJHaJY3Ukr5i+u9//8tDDz1E3bp1SU1N9W3n4EOHDjFlyhR+/PFH2rRpQ2RkpC9rIo0JdyIyCrgXOA58DwxR1X1B9tvKSX15yjPO0/nss8/o0qUL9evXZ968edSqVcvrkPLJyclh6tSpfPfdd3Tp0oVmzZp5HZKpYIqR9KUX8tn+rar+5CZ2c0XkmzOP7leWBRRRVlYWjzzyCEOHDiUiIoJly5b5NuH76aefGDt2LDt37qRnz55ERUVZwmeMd+YCN6rqzcC3wNOn2TdSVZv6KeH7/PPP6dSpE3Xr1mX+/PnUrl3iSoYykZOTw7Rp0/j2229PTDBvTLkSdSZnLspPIVT1J/f3z0Ai0BLYLSKXA7i/fy5pqJYJFMGePXvo0KEDb731Fo8//jgpKSm+68uSZ/Xq1bz//vtUqlSJBx54wEatGeMxVZ2jqnlD+5YCdbyMpziWLFlCx44dufLKK5k/fz6XXnqp1yHlk5OTQ0JCAt988w0dO3akRYsWXodkKiAFcitnF+nndETkfBGplvcY6ACsBT4GBrm7DQKSSxqrNe8WYuXKlXTr1o1du3YxYcIE+vfv73VIQeXm5pKamsqSJUu4+uqr6dWrl++WQjLGcD/O1AvBBOvLcwoRGQYMA6hbt26ZBAmwbNkyOnbsyGWXXcb8+fO5/PLLy+y9SiI3N5fExEQ2bNhAhw4daNWqldchmQqr1ObpuxRIdKdSOwv4UFVnichyYIqIPABsA3qV9A0s6TuNKVOmMGTIEGrUqMFnn33m22+RR48eJSEhge+//54WLVpw9913U7lyZa/DMqbCEJFU4LIgLz2rqsnuPs8C2cDEAk5zSl8eVV148k5uMjgWoHnz5loqF3CSFStW0KFDB2rWrElaWprv1g7PS/jWrVtH+/btuf32270OyVRkAipn/lFU1c3AKUPOVTUDKJUVHyzpCyI3N5cRI0bw8ssv07p1axISErjssmDluff27NlDfHw8+/bt495777UOzMZ4QFXvOt3rIjIIuAeIUtWg/zsE9uURkby+PKckfWXtq6++on379tSoUYO0tDTq1PFXa3Rubi7JycmsXbuWqKgoWrdu7XVIxtiKHKFq//799O/fnxkzZjB06FDeeustqlat6nVYQX3zzTckJiZSpUoVBg0aVKZNPcaYkhGRjjhzarVT1SMF7HM+UElVDwb05RlZjmECsGrVKtq3b8+FF15IWlqa78oUVeXjjz9m9erVREZG0qZNG69DMsZZkaNs5+krNZb0Bfj222/p2rUr33//PW+//TYPPfSQL5cpU1UWLlzIggULuOKKK4iNjfXdupfGmBPeAqriNNkCLFXV34vIFcA4Ve1MAX15yjPINWvWEBUVxfnnn09aWhr16tUrz7cvVF7Ct2rVKiIiImjbtq3XIRnjEMitlON1FEViSZ/rk08+oW/fvlSpUoXU1FTatWvndUhBHT9+nKSkJDZs2MDNN9/MPffcQ5UqVbwOyxhTAFVtUMD2n4DO7uOgfXnKy7p164iKiuKcc85h/vz5vls/XFWZMWMGK1eupG3btr4tn01FVWoDOcpchU/6VJVXX32Vp59+mltuuYWkpCSuvvpqr8MKau/evcTHx5+YQua2227zZU2kMSZ0bNiwgTvvvJOzzjqLtLQ0GjQImqN6RlVPrCzUpk0bIiIivA7JmFNY0hcCjhw5wgMPPEB8fDy9e/fmvffe8+00J5s3b2batGmoKvfddx/XXnut1yEZY0Lcxo0bufPOOxER0tLSaNiwodch5aOqfPLJJ6xYsYLWrVufiNUYP1FKZ/RueaiwSd+2bdvo1q0bK1eu5OWXX+app57yZWGiqnzxxRfMmTOHmjVr0qdPH99ODG2MCR3fffcdkZGR5ObmsmDBAho1auR1SPmoKrNnz2b58uXcdttt3HXXXb4so42x5l2fW7hwITExMWRmZjJ9+nS6dOnidUhBZWdnM3PmTFauXEmjRo3o3r27b0cSG2NCx6ZNm4iMjCQrK4sFCxbQuHFjr0PKR1WZM2cOX3zxBa1ataJDhw6W8Bn/EsipbAM5fGnMmDE88sgjXHPNNSQnJ3P99dd7HVJQBw8eZPLkyezYsYO2bdsSERFhhZ4x5oxt3ryZyMhIjh07Rlpamu/WEFdVUlNTWbp06YnJ5q3sM36mVtPnP8ePH2f48OG88847dO7cmYkTJ1K9enWvwwpq+/btTJ48mczMTHr37u27b+HGmNC0detWIiMjOXLkCPPnz+emm27yOqR8VJX58+ezePFimjdvTqdOnSzhMyHB+vT5yO7du4mJiWHRokU8/fTTvPjii75dpuzrr79m5syZVKtWjf79+/tugXNjTGjatm0bkZGRHDhwgHnz5nHLLZ7NEFOgBQsWsGjRIpo1a0bnzp0t4TOhQWz0rm+sWLGC7t27k5GRwaRJk+jTp4/XIQWVk5PDnDlzWLZsGfXr1ycmJobzzjvP67CMMWFg+/btREZGsnfvXlJTU325XOOnn37KwoULadq0Kffcc48lfCaEWPOuL0ycOJGhQ4dSu3ZtPv/8c2699VavQwrqyJEjTJs2jS1btpzotFypUiWvwzLGhIEdO3YQGRlJeno6c+fOpXnz5l6HdIq8FYZuueUWunbtagmfCSkK5FrzrndycnJ46qmneO2112jbti1Tp06ldu3aXocV1O7du4mPj+fgwYNER0fTtGlTr0MyxoSJnTt3cuedd7Jr1y7mzJlDy5YtvQ7pFIsWLSItLY2bb77ZEj4TotSWYfPK3r176du3L7Nnz+YPf/gDo0eP9u0yZevXrycpKYmqVasyePBg6tSp43VIxpgwsWvXLu6880527NjB7Nmzuf32270O6RSLFy9m3rx53HjjjURHR1sLhwlNArnWvFv+1q9fT3R0ND/88ANjx47ld7/7ndchBaWqLFiwgIULF1KnTh169+5NtWrVvA7LGBMmfv75Z6Kioti2bRuffPIJv/3tb70O6RRLlixh7ty53HDDDXTv3t0SPhOynBU5LOkrV9OnT+e+++7jvPPOIy0tzZeFHEBmZiaJiYls3LiRpk2b0qVLF846K2z+DMYYj+3Zs4eoqCi2bNlCSkoKbdu29TqkU+StMtS4cWNL+EwYUJuypbyoKi+99BLPPfcczZo1IzExkauuusrrsILKyMggPj6ejIwMOnXqRIsWLaz/ijGm1GRkZHDXXXexadMmZsyYQUREhNchnWL58uXMmjWL66+/np49e/p2+ixjisOad8vBoUOHGDx4MAkJCfTv35+xY8dy7rnneh1WUJs2bSIhIQERYcCAAdSvX9/rkIwxYeSXX37hrrvuYuPGjUyfPp2oqCivQzrFihUrSElJ4brrriMmJsYSPhMWVGwgR5nbsmUL0dHRrFu3jtdee43HHnvMl7VmqsqSJUtITU2ldu3axMbGUqNGDa/DMsaEkb1799K+fXvWr19PcnIy7du39zqkU3z11VfMnDmThg0b0qtXL0v4TFixmr4yNH/+fHr37k1OTg4pKSncfffdXocUVFZWFtOnT2fNmjU0adKE6Ohozj77bK/DMsaEkf3793P33XezZs0akpKS6Nixo9chneLrr79m+vTpNGjQgN69e1s/ZhN2QmUghye9Z0XkRRFZLSIrRWSOiFxR1GPffPNNOnToQO3atVm+fLlvE779+/fz/vvvs2bNGiIjI4mJibGEz5gKqKjlnYh0FJGNIrJJRJ4qyrlzcnLo2LEjK1euJCEhgc6dO5du8KVg1apVfPzxx1xzzTXExsZawmfCjqLkStF+ClOScqA4RLX8R5yIyIWqesB9PBxooqq/L+y4mjVrakZGBl27dmXChAlceOGFZR5rSWzbto0pU6aQlZVFjx49aNSokdchGVNhiMiXquqbZSeKUt6JSGXgW6A9sB1YDvRV1fWnO/cFF1ygmZmZTJ06lW7dupXNBZyB1atXk5iYSP369enbt69v50w1Bkpedlx72Vn6z0FFy0d6vbq3wPcoaTlQHJ585corAF3n40xzU6iMjAxGjBjBCy+84Nsh/l9++SUpKSlUr16dQYMGUatWLa9DMsZ4qIjlXUtgk6puBhCReCAaOG1hf/jwYaZNm+bLhG/t2rUkJSVRr149S/hMeBMlp1J23soVSwAADVJJREFUaZypROVAcXhS0wcgIi8BA4H9QKSq7ilgv2HAMPfpjcDa8omw3NQE0r0OopTZNYWGcLwmgEaq6qvZzgsr70QkBuioqkPd5wOAVqr6cJBzhWuZGC7/HsPlOiB8rqWo13G1qha7pkZEZrnvURTnAMcCno9V1bHueYpcDpRUmSV9IpIKXBbkpWdVNTlgv6eBc1T1+SKcc4Wfmm1Kg11TaLBrCh1eXNeZlnci0gu4+6TCvqWqPlLI+4bN3zBcriVcrgPC51pC5TpKWg4UR5k176rqXUXc9UNgJlBo0meMMX5UCuXddiBwVvk6wE+lEJoxJnSUeTng1ejdhgFPuwLfeBGHMcaUtSKWd8uBhiJSX0TOBvoAH5dHfMYY3yjzcsCrsfOviEgjIBf4ASh05K5rbNmF5Bm7ptBg1xQ6/HZdQcs7d+qWcaraWVWzReRhYDZQGXhPVdcV4dx+u9YzES7XEi7XAeFzLSFxHWdQDhSZZwM5jDHGGGNM+fHnvCfGGGOMMaZUWdJnjDHGGFMBhFzSdyZLuPmViIwSkW/c60oUkepex3SmRKSXiKwTkVwR8f1Q+dMp62VxypuIvCciP4tIuMzvhohcJSJpIrLB/Xf3J69jKi/hUiaGUzkY6uVfuJR54VjWnamQS/qAUap6s6o2BWYAz3kdUCmYC9yoqjfjLMHytMfxlIa1QA9godeBnAl3WZy3gU5AE6CviDTxNqoz9gHQ0esgSlk28LiqNgZuA/4YBn+nogqXMjGcysGQLf/CrMz7gPAr685IyCV9JV3Czc9UdY6q5q3hshRnbp6QpqobVHWj13GUghPL4qjqcSBvWZyQpaoLgV+8jqM0qepOVf3KfXwQ2ABc6W1U5SNcysRwKgdDvPwLmzIvHMu6M+XVlC1n5OQljTwOp7TdD0z2OghzwpXAjwHPtwOtPIrFFIGI1ANuBb7wNpLyE4ZlopWD3rEyL4z5MukrbEkjVX0WeNZd0uhhQmA1j6Is0yQiz+I0U00sz9hKqqhLT4U4CbItJGtSKgIRuQBIAB49qQYspIVLmRhO5WAYl39W5oUxXyZ94biEW2HXJCKDgHuAKA2RyROL8XcKZbY8VogQkSo4Cd9EVf3I63hKU7iUieFUDoZx+WdlXhgLuT594biEm4h0BJ4EuqrqEa/jMfnY8lghQEQE+C+wQVVf9zqe8hQuZaKVg75hZV4YC7kVOUQkAci3pJGq7vA2qjMjIpuAqkCGu2mpqhZ1aTpfEpHuwJtALWAfsFJV7/Y2qpIRkc7AaH5dFuclj0M6IyIyCYgAagK7gedV9b+eBnWGRKQN8BmwBqdsAHhGVVO8i6p8hEuZGE7lYKiXf+FS5oVjWXemQi7pM8YYY4wxxRdyzbvGGGOMMab4LOkzxhhjjKkALOkzxhhjjKkALOkzxhhjjKkALOkzxhhjjKkALOkLUyKSIyIrRWSdiKwSkcdEpJL7WnMReaOQ45u6w/bLhYhcLyJLRCRTRJ4opXMOFpE9IvK1iHwnIrNFpHXA6yNFpLDJYgeLyBWlEU9RiMhEEdkoImtF5D13wmFjjIdEpLqI/MHrOE5HRBaX4blfKOVyudzKVJOfJX3h66iqNlXVG4D2QGfcWfpVdYWqDi/k+KbuMeXlF2A48FpRdhaReiKyoAi7TlbVW1W1IfAK8JGINAZQ1edUNbWQ4wcD5VlATQSuB24CzgWGluN7GxMy3OThhRIcV5KVqKoDxUr6Shqfe2yxY1TV1oXvVaT33loa5zmNwZRvmWoCWNJXAajqz8Aw4GFxRIjIDAARaSkii93asMUi0sidhX0kEOvWFsaKyMUikiQiq0VkqYjc7B7/gojEicgcEdkqIj1E5FURWSMis/JqqkTkFRFZ7x5/SmKnqj+r6nIgqwzvQxow1r0XiMgHIhLjPn5ORJa7NWxj3fsUAzQHJrr34VwRiXLv1Rq3Jq6qe/xWEXnZra1cISLN3JrF70Xk9+4+l4vIQvdca0XkjiAxpqgLWIazBJIxviQiA93P9CoRSRSRLQGf+Qvdz0UVEfmd+/laJSIJInKeu88HIvKGW/ZsDvg8ioiMcj8na0QkthgxtXDPt0pElolINTcBmyoi04E5IjJBRKIDjpkoIl3d/ZLdsmujiOQtZ/cKcK372R11hvFtFZF/urEtE5EGAffidRFJA/4ZrGx297vBPW6le+8butsPub8jRGSBiEwTkW/caxP3taDlVxE1cc+7WUROVBqI8//Cl+K0Kg0L2H5IRP6fiHwlIvNEpFZxylRTRlTVfsLwBzgUZNte4FKcGcpnuNsuBM5yH98FJLiPBwNvBRz7Js5s5gB34swwD/ACsAioAtwCHAE6ua8lAt2Ai4GN/DoZePXTxP0C8EQRrq8esKCQffJdg7utG/CJ+/gDIMZ9fHHAPhOAe93HC4Dm7uNzgB+B69zn44FH3cdbgYfcx/8CVgPVcGbk/9nd/jjOYuzgzHRf7TSxVwG+Au7w+t+S/dhPsB/gBvdzXdN9fjHwPtDNfT4M+H/u40sCjvs78Ij7+ANgKk4FRBNgk7u9JzDX/ZxcCmwDLj/p/QcDL5y07WxgM9DCfX4hzhrzg3HWlL3Y3d4OSHIfXwRsCdhvJ3AJTk37WpwkpR6wNuB9ShSfu31rQDkwkF/L4g+AGUDlwNjdx4Fl85vAfQHXe677+JD7OwLYj/OFsRKwBGjDacqvk+MLsu0FYDHOiik1cVZNqZL3d3d/592vS9znGhDnc7hlMUUsU+2nbH6spq9ikSDbLgKmishanGTlhgKObYOTDKGq84FLROQi97VPVDULZwmsysAsd/sanMLyAHAMGCciPXASw5JdgFObsBJIAZq73xZXisiQop6igO2RIvKFiKzBSWqD3YdGwBZV/dZ9Hge0DXg9b33KNcAXqnpQVfcAx0SkOs6alkPEafK5SVUPnibO/wALVfWzIl2VMeXvTmCaqqYDqOovwDgg77M4BCcJBLhRRD5zP1/3kf/zlaSquaq6HieBAqe8maSqOaq6G/gUaCEil+R95nFaI34fUAbchPMZ3alOqwGqekBVs91zznVjRFU/BRqISG2gL05CFbhfhqoeBT5yYzlZSePLMyng9+0B26eqao77uKCyeQnwjIg8CVztxnmyZaq6XVVzgZU45XCB5ZeIvB0Q9xUBMT8bcM6Zqprp/r1/5te/1XARWQUsBa4C8taCzgUmu4//V8B9LKxMNaWsJH0bTAgSkWuAHJwPa+OAl14E0lS1u4jUw/kWFvQUQbblreGXCaCquSKSpe5XNpwP/Vmqmi0iLYEonMW7H8b5D6PYVLW7ez31gA9UNaKYp7gV2BC4QUTOwUmymqvqj25Sdk6QYwtKGPNkur9zAx7nPT9LVReKSFugCzBBREap6vhT3sRpUqoFPFiE6zHGK8KvZQAAqvq5OP1t2+HUWK11X/oApwZwlYgMxqmNyhP4WZGTfuejqhk4/Y1xz1NPVV84cbDT7aSgtUUPn/R8Ak4C2ge4P/BtTn7bIOcqUXwFnDPwcWCMQctmVf1QRL7AKUdmi8hQ94t4oMB7moPzf32B5Zeq/jHvsYhsVdWmQXY75ZwiEoFTC3m7qh4Rp591sLITinEfTdmxmr4KQERqAWNwqtdP/uBdBOQtzj44YPtBnObJPAtxCkjcD3q6qh4o4vtfAFykqinAo7iFYnlz/yMaBrx70kt5hVS6G2tMwGuB9+EboF5eHxxgAM43/KK+/9U4Tb3vAv8FmgXZZyhwN9DX/ZZujF/NA3qLyCUAInKxu308Tg3W+wH7VgN2itPf774inHshTp/iym751Ranj2thvsGpqWrhxlRNCh4U8QFOeYSqrgvY3l6cPszn4nQH+Zzg5WFJ4ssTG/B7SQH7BC2b3S/wm1X1DZzWhZuL+J5nVH6dJsa9bsJ3PXBbwGuV+LUs7YfTDQhKsUw1xWc1feHrXLeqvgqQjfOt9vUg+70KxInIY0Dgt8U04Cn3HP/A6dPxvoisxmmeHVSMWKoByW6NmgB/PnkHEbkMWIHTjyVXRB4FmhQ1sTyNWBFpA5yH02+np6rmq+lT1X0i8i5Os+xWnGbYPB8AY0TkKE4zzBCcJpez3P3GFCOWCOAvIpIFHMLpz3OyMcAPwBK37/VHqjqyGO9hTLlQ1XUi8hLwqYjkAF/jJCcTcfrtTQrYfQTwBc6/7TXkT6CCScT5vK3CqSH6q6ruKkJMx8UZVPGmm7QdxamJCrbvbhHZACSd9NIinPKyAfChqq4AEJHP3abWT4C/liS+AFXd2rpKOM3LwRRUNscC/d1yZBdOM3KhVPWY2w2mpOVXMLNwmrBX4/TvXBrw2mHgBhH5EqePYV6i+wGlV6aaYpJTK36MMcaYknFHaEar6gCvYzkdcUYQrwGaqep+d9tgnG4eD5fh+2513yO9rN7DD0TkkKpe4HUcJj+r6TPGGFMqRORNoBPlO8dnsYkzKft7wOt5CZ8xFYHV9BljjDHGVAA2kMMYY4wxpgKwpM8YY4wxpgKwpM8YY4wxpgKwpM8YY4wxpgKwpM8YY4wxpgL4/zIVIJu6qZaqAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 648x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "thresh=.8\n",
    "msize=20\n",
    "fig,ax=plt.subplots(1,2,figsize=(9,4))\n",
    "m=ax[0].scatter(logt(data['DD']),logt(data['mod_diatoms_chl']),\n",
    "          c=data['yd'],s=msize,cmap=cmocean.cm.phase,vmin=0,vmax=366)\n",
    "m=ax[1].scatter(logt(data['CCPH']),logt(data['mod_flagellates_chl']),\n",
    "          c=data['yd'],s=msize,cmap=cmocean.cm.phase,vmin=0,vmax=366)\n",
    "ax[0].set_xlim(-3,2)\n",
    "ax[0].set_ylim(-3,2)\n",
    "ax[1].set_xlim(-3,1.2)\n",
    "ax[1].set_ylim(-3,1.2)\n",
    "ax[0].set_xlabel('Diatoms 1 + Diatoms 2')\n",
    "ax[0].set_ylabel('Model Diatoms')\n",
    "ax[0].set_title('log10[Chl (mg/m$^3$)+.001]')\n",
    "ax[1].set_xlabel('cyano+crypto+prasino+hapto')\n",
    "ax[1].set_ylabel('Model flagellates')\n",
    "ax[1].set_title('log10[Chl (mg/m$^3$)+.001]')\n",
    "ax[0].plot((-3,2),(-3+thresh,2+thresh),'-',color='grey')\n",
    "ax[0].plot((-3,2),(-3-thresh,2-thresh),'-',color='grey')\n",
    "ax[1].plot((-3,2),(-3+thresh,2+thresh),'-',color='grey')\n",
    "ax[1].plot((-3,2),(-3-thresh,2-thresh),'-',color='grey')\n",
    "ax[0].plot((-3,2),(-3,2),'k-')\n",
    "ax[1].plot((-3,1.2),(-3,1.2),'k-')\n",
    "plt.tight_layout()\n",
    "fig.colorbar(m,ax=ax[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "papermill": {
     "duration": 0.464257,
     "end_time": "2020-11-16T18:41:53.043632",
     "exception": false,
     "start_time": "2020-11-16T18:41:52.579375",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Diatoms/DD\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print('Diatoms/DD')\n",
    "fig,ax=plt.subplots(1,4,figsize=(12,4),gridspec_kw={'width_ratios': [1,1,1,.1],'wspace':.5},)\n",
    "for iax in ax[0:3]:\n",
    "    iax.contour(navlon,navlat,tmask[0,:,:],levels=[0.5,],colors='gray')\n",
    "    iax.set_xlim(-125.3,-122.5)\n",
    "    iax.set_ylim(48,50.5)\n",
    "ihi=logt(data['mod_diatoms_chl'])>(logt(data['DD'])+thresh)\n",
    "ilo=logt(data['mod_diatoms_chl'])<(logt(data['DD'])-thresh)\n",
    "idata=data.loc[(data.DD>=0)&ihi]\n",
    "ax[0].scatter(idata.Lon,idata.Lat,c=idata.yd,s=msize,cmap=cmocean.cm.phase,vmin=0,vmax=366)\n",
    "ax[0].set_title('High\\n log(mod)>log(obs)+'+str(thresh))\n",
    "idata=data.loc[(data.DD>=0)&(~ihi)&(~ilo)]\n",
    "ax[1].scatter(idata.Lon,idata.Lat,c=idata.yd,s=msize,cmap=cmocean.cm.phase,vmin=0,vmax=366)\n",
    "ax[1].set_title('Medium\\n log(obs)-'+str(thresh)+'<log(mod)<log(obs)+'+str(thresh))\n",
    "idata=data.loc[(data.DD>=0)&ilo]\n",
    "m=ax[2].scatter(idata.Lon,idata.Lat,c=idata.yd,s=msize,cmap=cmocean.cm.phase,vmin=0,vmax=366)\n",
    "ax[2].set_title('Low\\n log(mod)<log(obs)-'+str(thresh));\n",
    "fig.colorbar(m,cax=ax[3]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "papermill": {
     "duration": 0.517689,
     "end_time": "2020-11-16T18:41:53.598687",
     "exception": false,
     "start_time": "2020-11-16T18:41:53.080998",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Flagellates/CCPH\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print('Flagellates/CCPH')\n",
    "fig,ax=plt.subplots(1,4,figsize=(12,4),gridspec_kw={'width_ratios': [1,1,1,.1],'wspace':.5},)\n",
    "for iax in ax[0:3]:\n",
    "    iax.contour(navlon,navlat,tmask[0,:,:],levels=[0.5,],colors='gray')\n",
    "    iax.set_xlim(-125.3,-122.5)\n",
    "    iax.set_ylim(48,50.5)\n",
    "ihi=logt(data['mod_flagellates_chl'])>(logt(data['CCPH'])+thresh)\n",
    "ilo=logt(data['mod_flagellates_chl'])<(logt(data['CCPH'])-thresh)\n",
    "idata=data.loc[(data.CCPH>=0)&ihi]\n",
    "ax[0].scatter(idata.Lon,idata.Lat,c=idata.yd,s=msize,cmap=cmocean.cm.phase,vmin=0,vmax=366)\n",
    "ax[0].set_title('High\\n log(mod)>log(obs)+'+str(thresh))\n",
    "idata=data.loc[(data.CCPH>=0)&(~ihi)&(~ilo)]\n",
    "ax[1].scatter(idata.Lon,idata.Lat,c=idata.yd,s=msize,cmap=cmocean.cm.phase,vmin=0,vmax=366)\n",
    "ax[1].set_title('Medium\\n log(obs)-'+str(thresh)+'<log(mod)<log(obs)+'+str(thresh))\n",
    "idata=data.loc[(data.CCPH>=0)&ilo]\n",
    "m=ax[2].scatter(idata.Lon,idata.Lat,c=idata.yd,s=msize,cmap=cmocean.cm.phase,vmin=0,vmax=366)\n",
    "ax[2].set_title('Low\\n log(mod)<log(obs)-'+str(thresh));\n",
    "fig.colorbar(m,cax=ax[3]);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.040393,
     "end_time": "2020-11-16T18:41:53.679655",
     "exception": false,
     "start_time": "2020-11-16T18:41:53.639262",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Diatom fraction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "papermill": {
     "duration": 0.417135,
     "end_time": "2020-11-16T18:41:54.136577",
     "exception": false,
     "start_time": "2020-11-16T18:41:53.719442",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7fe861fbb730>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAApwAAAEKCAYAAAC/nIVmAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjMsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+AADFEAAAgAElEQVR4nOzdd5xU9dX48c+Zto1deu8dARUUUFQUjNgVYycaa2JMbNHkeYyJedIe80seS5omBrvGRiwRK5ZEsaBIUaoIUhcQWFjYhW0z957fHzMLy+7s7iw7s3dm97zzui9mvnPnzlkid898y/mKqmKMMcYYY0yq+LwOwBhjjDHGtG6WcBpjjDHGmJSyhNMYY4wxxqSUJZzGGGOMMSalLOE0xhhjjDEpZQmnMcYYY4xJqZQlnCLysIhsE5Gl9bwuIvJnEVktIotF5IhUxWKMMa2Z3W+NMekulT2cjwKnNvD6acDQ2HEN8LcUxmKMMa3Zo9j91hiTxlKWcKrqHGBnA6dMAx7XqI+BDiLSM1XxGGNMa2X3W2NMugt4+Nm9gY01nhfG2rbUPlFEriH6rZy8vLwjR4wY0SIBGtNWLViwoEhVu3odh0kau98ak4aae68dMyigpeWJ7Ri55mt3tqo2NBKSUl4mnBKnLe7fmqrOAGYAjBs3TufPn5/KuIxp80RkvdcxmKSy+60xaai599rScuW3V+QldO7Fvyvt0pzPai4vE85CoG+N532AzR7FYowxrZndb41phRRw432dTENelkWaBVwWWz15NLBbVesM7xhjjGk2u98a0wopEPEldngtZT2cIvI0MBnoIiKFwC+AIICq3g+8BpwOrAbKgCtTFYsxxrRmdr81po0S0Azp4UxZwqmq0xt5XYHrUvX5xhjTVtj91pi2K1OG1L2cw2mMMcYYYw5SJs3htITTGGOMMSZDWcJpjDHGGGNSxno4jTHGGGNMakl6rEBPhCWcxhhjjDEZyHo4jTHGGGNMyrleB5AgSziNMTiRStbMe4x1i57G5w95HY4xxpgEWA+nMSZjuK7Dew9NY+emRTjhcq/DMcYY0wSWcBpjMsLXX75F8ebPLdk0xpgMowJhX2ZknJZwGtPGbV39HpGqvV6HYYwx5iBYD6cxJiNk5/fAF8jCjVR6HYoxxpgmyKQ5nBlSvckYkyoDxl6EiN/rMIwxxjSZ4Epih9cs4UyB3RuXsuDvV/Gf24/ikz9fzI5VH3sdkjH1yinowaTLnyWU25lAqB2BUJ7XIRljjEmACjgJHl6zIfUk27V2EfPuvQQ3XAEolSXbWHD/lRx++Z/oftjJXodnTFzdB5/AtJ+tZteWxfh8Qfj1oV6HZIwxJgEuyckmReRh4Exgm6qOjrU9CwyPndIB2KWqY2Kv3QZcDTjAjao6u6HrW8KZZF+89FvcWqt93XAFK57/Nd0OnYqkQbe2MfH4fH469R7rdRjGGGMSpECVL2mD1Y8C9wKP77u+6kXVj0XkbmB37PFI4GJgFNALeFtEhqmqU9/FbUg9yUo2Lo3bXrn761ivpzHGGGNM8yngiCR0NHot1TnAznivSbS37ELg6VjTNOAZVa1U1bXAamBCQ9e3hDPJsgq6xm33BbPwBbJaOBpj9qvaW0z5ri2oqtehGGOMSYoWWzQ0Cdiqqqtiz3sDG2u8Xhhrq5cNqSfZoKnXseKFX+FW7R9W9wVz6H/8lUjyur2NSVhFyTYW/eMGitd8CiJkt+/OmG/9kU6DGvwyaowxJs1FFw0lnFt0EZH5NZ7PUNUZCb53Ovt7N4G4E0cb7M2whDPJ+ky8kKo9O1jz5n0AqLr0PfZihp5xs8eRmbZIVfn4rxeyZ/tacKNTa8p2bOCTv1/K8T9+k9JNKyhaMYesgq70PvoCcjv39ThiY4wxiVIgkviioSJVHdfUzxCRAHAucGSN5kKg5i+MPsDmhq5jCWeSiQiDT/4BA6dcTcXurYTyuxDIyvU6LNNGFa+dT3nxln3JZjU3EuaTP1+EU74Hp6oM8QdY++8HGHPFX+h26EkeRWuMMaYpFKHKl/JU7iTgC1UtrNE2C3hKRO4humhoKDCvoYvYGG+SqSqlW76k9OtV5HTqbclmKxQuKyFSscfrMBJSvmtT/MoIEYeqkiKcqjIA1Inghiv47NEbcJ1wC0dpjDHmYChCRPwJHY0RkaeBucBwESkUkatjL13MgcPpqOoyYCawHHgDuK6hFepgPZxJVbrlSxbO+C5VpdtBfPgCIQ6//E90GTHJ69BMM6kqmz59nlWv3E1lyXZEhI6DxnPYpXeT3bGn1+HVq33fw+ImkD78oG6ddidcwbp3H2mJ0Iwxps1RVUq2fUG4ooSOvcck5ZpNmMPZIFWdXk/7FfW03wHckej1LeFMEjdSxby/TCe8Z39FAadyLwsf+B6Tbn+bnI69PIzONIdTVc7c+y6kdG205JUQnTezc/UnzL3nmxz/i/fxB4KexKauy/qPnmDdB48QqdhDt1FTGX7qLWTlR6sltOs6iB6HnsrXS9/cXx9WfIg/AJFIvCuycf7MlvsBjDGmjdizcy3vP3Yhe4s3AooTqWz2NRUhQmZsTWxD6kmyffm7uOGqui+ow6ZPnmv5gEzSrHr7L5RsWEr0n3YN6lKxeyv/+fVEitcv9CS2xTNvZcWs/2XP1tVU7P6ajZ88zZy7TiFcvnvfOWMv/TNdR01GJZooq08JS0Wd5YQaa6ncu6PlfgBjjGkD1HV598GzKdm+CidchhMujzvK1OTrCkkbUk81SziTpKq0CHXrTl9wI1VU7NrqQUQmWQrnzQTHQeqpAlG5exsf/206laXbWzSu8uJNbFrwQvTGVR2NEyFcXsL6j57a11ZWvJEtK97E8YVx/GEcqnC0ChcHrfE/AMfv0GnAkXU+yxhjTNNFqspY9MptvPDrvuwtXp+UJLMmRXDEn9DhNUs4k6Tj4AnEK0Hlz8qly4jjWj4gkzTqOqjsT8rqvC6KOhE2fPJsi8a1u3AJvjhD+W64gh1fzd33fPPiV6gzl9sHTsjFDQquOLg+B8fv4A/lMOy0H6c6dGOMafVUlfcePofVnzxIpLI0NZ+BUCGhhA6vWcKZJO16DKHn2DPwh3L2tfmC2bTrMZRuh071MDLTXD3HnAWB6HTnmknn/p5BxY1UUr5zQ4vGld2hF+rW/bYsvgB5XQbse66uE/9btV/oOW4a+f1GE8zvTPfRUzn2ppco6DkihVEbY0zbsGPDPIq3LMZNwlzN+lTP4Uzk8JotGkqi0d/6PzoPP44NHz6JG66k17hp9D3uUnx++2vOZMNP+xHbV75HRfEWtKKC6u9piovrc0HAH8ql06CjWiSeSMUeti5/BydcQU6nPuzdvgZ19i8A8vmDDJh0xb7nPUefxhdv31N3yof4GD71hwckp8YYY5Jj99blkOKthBWISGbkGJkRZYYQn49e48+h1/hzvA7FJFEwpz0n/NdbfL1kNrs2LGL7yvfZs30tGqkAwBcIkd2hFz3HnJnyWLavnMP8h78DIqCKuhFyOvWjYmch+HyE8joxZvo9tOs6aN978rsPY+iU61n9n3txImFEBPEHGHHSLZZsmoxStHE+y967h5KiVXTtN55RJ/yI/M6DvQ7LpEi4spRV8x6hcPkrZLfrxvBjrqX7wMyZotau8yAkztzJZKagiuCkQe9lIizhNCYBvkCIXmPPotfYs3CdMOvef4T1Hz2JG6mk19izGXLS9fgDWSmNIVK5l/kPf2dfsfZqFbu2MOHaJ8nr3J/sDj3jFno/5OT/otehZ7D585dBhN6HT6Ogx/CUxmtMMm1aOZv3n74MJ1wBKKVFq1m/5F+ccu07dOh+iNfhmSQLV5by+n2TKNu9GSf25X7zqrcYe8qvGD7xWo+jS0y3gZPIbd+b0h1rUDdaD7k62XQS3o2yMZIWK9ATYQmnMU3k8wcZNPkaBk2+pkU/d9vyf0d7NmtxI5VsXTKbUd/8ZYPvb99zJO17jkxRdMakjqoy76WbD6zIoA6Rqr0smv0/TLnsnx5GZ1Jh1bxHKNu9ZV+yCeCEy1k0+xcMOuISgln5HkaXGPH5OPF7b/DpizeyecXrqBud+uQIJL79ecOie6lnRiqXGVEaY+qfeK7uAb+IE6WqFK/4iG0L3sAXyKLHxGkUDDi0mVEak3xVFbuo2BOvvJyyff3cOO0m0xWueBUnUve+5vMF2VG4kB6DT/AgqqbLyuvMcZc+ieuE2btrI+8/fRklRasQXyA2v7N5q9ddfFTi/Qr0RFjCaUyG6DrihAMWB1Xzh3LpeXjT5o+qKise+QlFn72DW1UO4uPruS/S/7Tv0f+0lu25NaYxgWBebC5c3W1as3I7t3xAJuWy23WN2+66EbJyO7VwNM3n8wfJ7zyI06//gJKiVVSV76Kgy1D4ZcfmXVhIixqbibCySMZkiKz8rhxy1k/xBbMhdoPxh3LpPvoUugxr2kT6XV9+uj/ZBFAXt6qC9a/+jYqdW5IdujHN4g+EGDj2YvyB7APbg7mMnPRDj6IyqTR84vfxB3MPaBPxkdehLx16jPYoquTIbd+Hrz55hJd+O7TZ16peNJTI4TXr4TQmgww8/mo6DzmGwk+fI1JVRq/Dz6Dz0GPjLhRqSNHn/8atqqj7gs/HzmUfJClaY5Jn3Bn/R7iilI0rXsHvD+E6YYZPvJYh46/wOjSTAt0HHsvYU37Jotm/wOcLohoht31fplz+fJPvd+lm3j+/z6YVryWlPmd0Dqf3yWQiUppwisipwJ8AP/Cgqv6u1uvtgX8A/WKx3KWqj6QyJmMyXUGvQxg57efNuoY/lA0+P7gHDtGL+A7YvMBkjtZ+v/UHsznu4keo2LOdst2byO88iGB2gddhmRQaPvFaBh1xCTs2LSIrtxMduo/K+GSzYk8Rm1a8msRi8JlTFillQ+oSnXBzH3AaMBKYLiK1l8heByxX1cOBycDdImmw/5IxrVz3o87C549TH06VzodNbvmATLO0pfttdruudOo9xpLNNiKYlU+PQcfTscfojE82AcpLNkUXDCWJIoQJJXR4LZVzOCcAq1V1japWAc8A02qdo0C+RP8ragfsBOquijDGJFVez8EMvuBWJBDCn5WLPzsPX1YOo6/9E4Gcdl6HZ5rO7rfGJJGqsvLjGfzrrkOZ+Zs+vPvEReze/mWzr5vXaVCdWsrNYXM4o3oDG2s8LwRq7/13LzAL2AzkAxep1t30WUSuAa4B6NevX0qCNaat6X38RXQ94mSKl3+I+IN0Hj0Jf1Zu42806cjut8Yk0cLXfsqqTx/BCUeTw00r32Db2g84/YaPaNex/0Fft3x3IeIL7CsE33zJG1IXkYeBM4Ftqjq6RvsNwPVEv6C+qqr/HWu/DbgacIAbVXV2Q9dPZQ9nvL7v2js6nQJ8BvQCxgD3ikidcRJVnaGq41R1XNeu8UslGGOaLtSuI90nnEm3I0+xZDOz2f3WmCSpLC9m1byH9iWbAKgSCZezfM4fm3XtcEUJ/mB24ycmSAEXf0JHAh4FTq3ZICJTiI6WHKaqo4C7Yu0jgYuBUbH3/FXi7eNZQyp7OAuBvjWe9yH6zbqmK4HfqaoCq0VkLTACmJfCuIwxprWx+60xzbAnXMmjK+bz+vqVDA1v5ag48yzVjVC08dNmfU7HXodD3YGFZhDcJPUdquocERlQq/n7RO8blbFztsXapwHPxNrXishqolN76t2JIZU9nJ8CQ0VkYGxi+sVEh3Nq2gB8A0BEugPDgTUpjKnZKnZ9zeYFs9i+4j3cOEW4jTHGA63yfmtMSyipquC45//Gr+e9zZzNa3l+y3Yq4+3eJj7yuwxp1mf5g9kcOe0e/MEcRJqfgjWxh7OLiMyvcSSyy8cwYJKIfCIi74nI+Fh7vGk8vRu6UMp6OFU1IiLXA7OJlul4WFWXici1sdfvB34DPCoiS4gOCd2qqkWpiqm5vnzlLtb9+wHEHwTAH8ph/PVPkt9zmMeRGWNai9iwVHdq3J9VdUND72mN91tjWsqDy+axac9uKmKdSLsCeSzNHsCoivWEdH/Hkj+Qzajjb2725w04YjoF3Ueweu4DwN+aeTUhQjDRk4tUdVwTPyAAdASOBsYDM0VkEIlN46lzoZRR1deA12q13V/j8Wbg5FTGkCzbl7/H+ncfxo1UQaQKAKdyLwvuv5ITfvlBqyjXYIzxVmxy/i+ArUD1uJsChzX23tZ0vzWmJb28bsW+ZLPaw51P5dLdczi6bCWiSk77XkyY9gc69To8KZ/ZqfdYJpz/V5qbcKoKqildgV4IvBCbijNPRFygC4lN4zmA7TSUoA0f/AOnqm4Xe7hsN7s3fE6H/mM8iMoY08rcBAxX1R1eB2JMW9Elu+6CybAvwLNdT+F7Zz3NkPx8Qtkd0rZjSVO7S/m/gBOBd0VkGBACiohO2XlKRO4huhBxKI3MB7eEM0FOxZ647SI+nMo4cz2MMabpNgK7vQ7CmLbk+4dOZM7mtZRF9pcq8onQP78jI7v2TdtEM0rQ5JVFeprophBdRKSQ6GjLw8DDIrIUqAIuj/V2LhORmcByouWSrlNVp6HrW8KZoB5HnMmu9Z/j1ppIrK5DhwFjPYrKmKYJV5ay/asP8PmDdB08CX8gy+uQzIHWEO1JeBXYt/edqt7jXUjpaU/xetYsfJqq8p30Gn4yPQefiPhS2tPTbBtKd/H2xlXkBUOc3n8E+SH795cOTuwzhJ8cOYXfzv83Ib8fx1V6tyvgudO+nebJZlSyejhVdXo9L11az/l3AHcken1LOBPU56jz2fTJP9mzZVV0lwCfH58/yKiL7ojuS21Mmtuw8J8seOGH+7ZVExGOufwpug46xuPITA0bYkcodpg4Nix9iY+euwZ1HVyniq8WPEG3Acdwwrdn4vN5v6NKPHd8+g5/+PwDfCL4RbhpziyePfUSTug9qN73lIWrmL+tkLxgiCO69s6I5CdT3TxmElceMo4F2zbROTuXw7v0zJC/byG1BYeSJ6GEU0R6A/05cNXknFQFlY58wSyOumkmX3/2OtuWvkNWfmf6HDPdVqibjLCnaA0LXrgJJ1xxQPuHj1zEmbevIJBl21mmA1X9FYCI5Eefavy5PG1YJFzO3Oevxakx2hSp2su2tR+yYckLDDj8Ag+ji2/u1+v58+IPqay1MOXi2U+y5rKfkBOou8r42VWfcdOcWfjFh4vSMSuHF06/jBEdu7VU2G1Oh6wcvtG3eWWPWp4gmvAqdU81mnCKyO+Bi4iO01ePzyvQphJOAF8gRK9x0+g1rvYWxcakt/ULn8V14kyvEWHzitn0G3Neywdl6hCR0cATQKfY8yLgMlVd5mlgaWT7+rnE29AkEi5j7WfPpmXC+Y8vFlIeqVu3WRD+XbiaMwYcckD78p1bueG9WZQ7++cU7glXccbLj7Dy0h8TSNNeXOOV1tPDeQ7RVZOVjZ5pjElL4YrdcffuVdchUlHqQUSmHjOAW1T1PwAiMhl4ALB5DzE+fwitp9yfP5Ce05sqHafemMNu3S+CDy3/lCq3boJaHqlizua1nNgn03rhTCpJhiSciUS5BhKvKmqMST89R5yCP5RXp13VpfuwKR5EZOqRV51sAqjqu0Dd/+PasK79jsbnr/sryR/MZfC4b3sQUePOG3IoeYG6U3LDrsPk3oPrtG8v34Oj8RJUobjCqqKYmqrncCZyeCuRCMqAz0Tk7yLy5+oj1YEZY5Kn29DJdB9yAv7Q/npz/mAuQ4+7lrxO/T2MzNSyRkR+LiIDYsftwFqvg0onPn+AyZc+SzArn0CoHf5gDv5ANkPGXUavYelZ1/6UfkM5pd8w8mJzNQPiI9sf4A/HnUWHrJw655/ef8S+c2uqch2O7Tkg1eGaDCP4Ejq8lsiQ+izq7slrjMkgIsLEbz/O5uWvsuGz5/EHshkw/hK6DZ7kdWjmQFcBvwJeINp1MQe40tOI0lDX/kdx7k++pHDFa1RV7KbH4MkUNHOP61TyiY9HT7qQOZvX8sq6FRQEs7h42BiGdugS9/xzB4/m/qUfs7x4G+Wx2pC5gSDXH3YMPfLyWzJ0k+YEwaeZUXCo0ShV9TERCRHdwB1gparWnQxmjElr4vPRe/RZ9B59ltehmHqoajFwo9dxZIJAKC8tFwjVR0Q4ofegBssgVQv5A7xx9tU8uXIRz3+1hIJQNt8ZNYGT+g5tgUhNpkmH3stEJLJKfTLwGLCO6DfuviJyeVsri2SMMakiIn9U1R+KyMtQd3WJqp7tQVgNcpwqPv/wT3yx8FGcSCUDDzmLcVNuJzu3s9ehpcyuynK2lu1hQEFHsvyp7VXKDgS5etQErh41IaWfYzKdtJ6EE7gbOFlVVwLE9tJ8GjgylYEZY0wb8kTsz7s8jaIJ3nxmOpvXfYATiS5i+WLh42xc/TYX/OATAsG6e1NnsopImBvmvMSLa5YSjJUk+tm4E7n+sGM9jsyYzOnhTCTKYHWyCaCqX2Kr1o0xJmlUdUHs4RhVfa/mAYzxMrZ4ir5ezJb1+5NNANcNU763iNVLnz+oa25d/zHvPfcd3nr8XL5c8BhOJH0q8d3ywSv8a80yKh2HPeEq9oSr+M2n7/CvNUu9Ds20cYIg6kvo8FoiEcwXkYdEZHLseABY0Oi7jDHGNNXlcdquaOkgGlO0eRHRGVYHioT3snXD3CZfb9lHf+XNx6exdvE/2bT6bea9diuvPXhyWiSde8NVzFy9mIpauwSVRcLcufA9j6JKvqLyvcz9ej1b9pZ4HYppsswoi5TIkPr3geuITmSvXjX511QGZYwxbYmITAe+BQwUkZpVQfKBHd5EVb92HfohUvcXmD+QTUHnpq0WrywvZuHbv8SJ7N92NRIuY/f2laxZPJOhR3hbW3NXZXm9v6q/Lsv8TRNcdfnxh6/y+BcLyfL7qXQcTus/nAemnEd2nNJMJt0IvsR2KfdcIqvUK4F7Yocxxpjk+wjYAnQhOm++Wimw2JOIGtB74AnktOtGpLgc1f075fh8QYaPubRJ19q24WN8/uABCSdEk871y1/yPOHskZtPbjBEea0eTp8IR/fI/Bq2f/n8I55cuYhKJ7Jvr/c31q/ktrlv8IdJVtEiE6TDcHki6o1SRGbG/lwiIotrHy0XojHGtG6quj62q9AlwCc15m+uAPp4GlwcIj7OuuJ1eg44Dp8/iM8fomPXQzjz8lfIbdetSdcKZbVH4+2qI0JWjvcr3v0+H78/5jRyavT2+UTIDQT5+fhveBhZcty35CPKIgdWOqxwIvxj5UIc1/UoKpM4aRWF32+K/XlmSwRiTFvmhMtZ88kTFC55kWB2e4Yc8x16DD+pznnh8hK2fPEm6kboMfwkstrFLxxtMtZMDtw33QH+CYz3Jpz65eX35MzLXqaqsgTXCR90OaRu/Y4mlF1ApGovNStC+QPZDJ9wdZKibZ6Lho6hW04+dy58l/Wluzi6Rz9+cuSUegu3Z5LdVRVx28OuQ6UTIddXd0tOkz6EzFmlXm/CqapbYg9/oKq31nxNRH4P3Fr3XcYkj1NVTuHcmWxd/Cah/E70n3QZHQen3e/dZnPCFfz7vlPZU7QaJxxd9bv9qw8Ydvx1jDr5tn3nbVr6KvOeuQYRP4qiboQxZ/+OQUfFW2diMlRAVauqn6hqVWzjjbQVyioAQFVR18HXxPqU4vNx8uUv8eZj0whXlID4cJ0qjpz6K7r1TZ8alFP6DGZKn7r7nme6o3v049+FX9VpH9y+M7nBtP5Pz+yTnIRTRB4m2sm4TVVHx9p+CXwX2B477aeq+lrstduAq4l+Mb5RVWc3dP1E7gxTqZtcnhanzZikcarKmXvXOZTt2IgbLgeEbUveYfi0W+l/fOtKsDZ+9jx7ir7al2wCOOEyVr73ZwZPvIrs/O5U7t3JvGeuOeAcgM9n3Ua3wZNo16Xx3Uv2FK1h3fynqCovpueIU+gx/CTElxnfjNuQ7SJytqrOAhCRaUCRxzE1SFVZ9tG9LJ5zF1Xlu8hr34fxp97BgFHnJHyNDl2Hc8Ety9m2cR7hyt2xXs/2KYzaVPt/E0/jG/+aQUUkQkRdfCJk+wP8cVLa7TVg4lFJ5hzOR4F7gcdrtf9BVQ+oESwiI4GLgVFAL+BtERmmNSd111Jvwiki3wd+AAyuNWczn+gEd2NSpnDuTMp2bMANVw/3KG64nJUv/Y7e488lkNN69hPevOINnHBZnXafP0TRuk/oc+jZbF72KkjdMjSuG2HDZ88x8qT/bvAzNn7+IvP/eT2uE0HdMOsXzqTLgKM49opnmtwjZVLqWuBJEbmX6GjZRuAyb0Nq2OI5d7Nkzl1EYv8N7929kfdf+B6BYC59hp2c8HXE56N7/6NTFaapx8hO3Zl7/vX88bP3mb+9kBEdunHL2EmM7NTd69BMQpK3Sl1V54jIgARPnwY8E1tYvlZEVgMTgHrrojUU5VPA68D/A35So71UVXcmGJAxB2Xr4tk1ks39fP4Au9Ytosshx3sQVWpkt+sWHSav88VQCeV2AojWI9S6E/jVdXDi/D3VFKnay/znbjiwB7VqL0XrPqFwyUv0G3Nes38Gkxyq+hVwtIi0A0RV07rujutEWPrBH/Ylm9WccDkL3/lNkxJOk5jySBhHXdoFs5J2zQEFHfnj8dajmamaMIezi4jMr/F8hqrOSOB914vIZcB84EeqWgz0Bj6ucU5hrK1e9UapqrtVdR3wJ2BnbBXleiAsIkclEKAxBy3UrhPxCkur6xLMbV1DbYMmXoUvUHuulBDMLqDrwIkA9BwxlXgLef3BbHqNOr3B6xetnYuIv067U7WXDYtmHmzYJkVE5Ayio0s3i8j/iMj/eB1Tfaoqd9dbnL1059oWjqZ1216+hwtef4Lej/wvfR/5LSe88DeW79zqdVjGY03caahIVcfVOBJJNv8GDCa649kW9pdtq/sLuuaqvzgSSYv/Buyp8XxvrM2YlOl3/GX4QtkHNooQKuhCQb/DvAkqRTr0HMUR5/6BQCiPQFY+/lAeeZ36c/x3X0Ri+zbnderPISfegj+YA+IDBH8ol/5HXETnfuMavL4vUH9PiD+Yk8wfxTSTiNwPXATcQPSGfgGQtsUeQ9kd6t03vX3X4S0cTevlqsspL0u2dIcAACAASURBVD3EOxtXE3ZdIuqyaPtmpr70IDsq6k7HMW1LKssiqepWVXVU1QUeIDpsDtEezb41Tu0DbG7oWokM/IvWKJKmqq6I2KQvk1KdBk9g2Jn/xZcv/x6fP4S6DqGCLoz//uNInLmMma7/ERfS59Cz2LlxIYGsfDr0OrTOz3nIN35Mj+EnsX7RTNQJ0+ewb9Il1gPakC4DJuLz190xxB/KZeCEtJ4e2BYdo6qHichiVf2ViNwNvOB1UPXx+fyMmfJTFrz9ywPmIfsDORx50i88jKx1mbNpLVvKSgjXmFajQNiJ8OTKhdx4+HHeBWc8l8qySCLSs0bVom8CS2OPZwFPicg9RBcNDQXmNXStRBLHNSJyI/t7NX8ArGly1MY00YDJV9L7qPPYtW4RodwOFPQ7rFUmm9X8wRy6Djq2wXM69hlDxz5jmnRdnz/AsVc8zfsPXwDqoq6LqsPgo6+i+9ApzQnZJF/1hNwyEelFdFvLgR7GQ+mu9TiRStp3HhJ3O8uRE68lGMrjs/d+R3npVtp3Gcr4U+6g56DWM8/aa2tLi3HjzKkpdyJ8uSutixiYFBMEvyanD1BEngYmE53rWQj8ApgsImOIfsdZB3wPQFWXxTYIWg5EgOsaWqEOiSWc1wJ/Bm6PfeA7wDUH88MY01TBnAK6HnKC12FkvM79x3PW7SvYsmI24YoSug05gbxOaTtS25a9LCIdgDuBhUTvuQ94FUzx9i+Yed94RHyEsgs48dyH6DVgUp3zhh75bYYe6e0WlK3ZoZ17xG3PC4QY1y3tNqIyLUqS1sOpqtPjND/UwPl3AHckev1E9lLfRrTWkjEmg/mDOfQ5LPHaiKZlSbT78B1V3QU8LyKvANmquturmCKRCpxI9JdZJFzGG09dwIXXL6BdQYOLUU0SrS/dSbbfzxFdezN/WyEVsf3OA+KjQ1Y2FwxpXXPaTdNlyl7qjSacIpJNtJL8KGDfKg5VvSqFcTVZZcl2Ns17gcrdX9Np6ES6jf7GvgUXxhiT7mLz4+8GJsaeVwLxl4C3XFAHPHXdCCsXPcGRJ/yknjeYZNm4ZxfT33ycL4q34ff5CPn8nNJ/KHO3bKTKiXDGgEP49VEnk2e7AbV5vkzf2rKGJ4AvgFOAXwOXACtSGVRT7Vz9CQvuvwp1HdxIJYUfz6Rdj2FMuOFp/LVXOhtjTPp6U0TOA16ouVgzXbhOFXt2bfA6jFZPVTnjlQdYX7oTRxWcaHmY2RtX8OG5NzKsQ1evQzRpQpI4pJ5qiUQ5RFV/DuxV1ceAM4BDUxtW4tR1+fzRG3CqynBj9eCcyjJKN3/Bhvdr785kjDFp7Rbgn0CliJSISKmIlHgdVLVAMI/egyZ7HUarN3freraVl0aTzRrCjsMDy+rdyMW0UT71JXR4LZEIwrE/d4nIaKA9MCBlETXRnq9XEancW6fdDVewef6/PIjIGGMOjqrmq6pPVUOqWhB7XuBVPDVXpfsD2RR0HMDAkTYPONW2lpUicepqR9Rlw55iDyIy6UpUCGggocNriUQwQ0Q6El2lPgtoB/w8pVE1gfgDqBt/5Eni1B40xph0IyLXq+q9scejVHWZ1zEBtGvfhy49+hCJVDB49PkcNvE6/H6bM5hqE7r1I+zWrTCTGwgytY8V1DcHypQ5nA1GGVs1WaKqxao6R1UHqWo3Vf17IhcXkVNFZKWIrBaRuLPMRWSyiHwmIstE5L2m/gB53QaR3b57nXZfKId+x36rqZczxhgv1FyE+cTBXCAV99vs3M6c+733ufC6TznyhFsJhtodTGimiXq3a88VIyaQG9jfaZLlD9Azt4Dpw47wMDKTbgRpHUPqsa2Mrj+YC0t08+b7gNOAkcB0ERlZ65wOwF+Bs1V1FNFt3Jr6OYz97t8J5nXEn5WHL5CFL5hN15FT6H3U+QcTujHGeKnJuxuk6n67u+hL3nrifApXvdXUkEwz3XnMWdx7/HlM6NaPER26ccvhJzDn3BtsVbqpw5fg/7yWyJD6WyLyY+BZogvlAFDVnY28bwKwWlXXAIjIM8A0olXpq32L6GrMDbFrbmtC7Pvk9xzGlF/PZdvSd6gs3U7HQeMp6DOy8TcaY0x66CAi3yTaCVAgIufWfFFVG9veMiX320jVXjatepOt6z5g9KSbGTP51sR/ItMsIsKFQ8Zw4ZCm7Sxm2hrBp5lRAjKRhLN6qOe6Gm0KDGrkfb2BjTWeFwJH1TpnGBAUkXeBfOBPqlpnabmIXENsd6N+/frF/TBfMIseY09vJCRjjElL7wFnxx7PAc6q8ZrS+H7qKbnfdm4f7WyNhMtYMucuRoy/muy8Lon8PMaYFiAIwTRYEJSIRHYaOth9fOMNC9Ve3RMAjgS+AeQAc0XkY1X9slYMM4AZAOPGjUu72nTGGNMcqnplMy+RkvvtwF7+fdfw+UNs3/gpfUec1sxQjTHJIpAW8zMTUW+UIvLbGo+nHsS1C4G+NZ73ATbHOecNVd2rqkVEv9kffhCfZYwxbVnK77eqSlZup2YHaoxJIgW/+hI6vNZQBKfWePz7g7j2p8BQERkoIiGi+7HPqnXOS8AkEQmISC7RIaC02sXIGGMyQGrvt+IjO7czXftOSGbMxphmiu4z1HoWDR0UVY2IyPXAbMAPPKyqy0Tk2tjr96vqChF5A1gMuMCDqro0VTEZY0xrlKr7rYifQDCX3ILeTP32c4g0eQG9MSbF0qH3MhENJZzdROQWolMEqh/vo6r3NHZxVX0NeK1W2/21nt8J3JlwxMYY00rFeh5/BPRT1e+KyFBguKq+0th7U3G/ze88mDOueY4O3UZasmlMGqquw5kJGko4HyC6krH2Y2OMManxCLAAmBh7Xkh0b/VGE85UCIby6Nh9lBcfbYxJgAChTC+LpKq/aslAjDHGMFhVLxKR6QCqWi7WtWiMqVfyejhF5GHgTGCbqo6u9dqPiY6OdI0tOkREbgOuBhzgRlWd3dD1M6Mf1hhj2oYqEckhVtJIRAYDld6GZIxJV5LcVeqPcuCC8ehniPQFpgIbarSNJLo4cVTsPX+N7XhWL0s4jTEmffwSeAPoKyJPAu8Atr2PMSYuIXkJp6rOAeLtIvkH4L85sLbvNOAZVa1U1bXAaqI7ntUrM8rTG2NMG6Cqb4rIAuBoor9LbqoevjLGmLoEvyY866aLiMyv8XxGbKOH+q8ucjawSVU/rzW7pzfwcY3nhbG2ejWacIpIB+AyYEDN81X1xsbea4wxJnEi8o6qfgN4NU6bMcYcoIk7DRWp6riErx2tmvEz4OR6Prq2BneCTKSH8zWiWewSorXbjDHGJJGIZAO5RHsgOrL/Zl4A9PIsMGNMWhMVQm7KVqkPBgYC1b2bfYCFIjKBxHY3O0AiCWe2qt7S+GnGGGMO0veAHxJNLhewP+EsAe7zKihjTHqrnsOZCqq6BOi277NE1gHjVLVIRGYBT4nIPUTvW0OBeQ1dL5GE8wkR+S7ROnD7VkuqaryJpcYYY5pIVf8E/ElEblDVv3gdjzEmczRhDmeDRORpYDLRkZZC4Beq+lC8c2M7mc0ElgMR4DpVdRq6fiIJZxXR2ks/Y//4vAKDEvoJjDHGJERV/yIio4GRQHaN9se9i8oYk64E8LnJSThVdXojrw+o9fwO4I5Er59IwnkLMMRWShpjTGqJyC+I9jCMJDp//jTgA8ASTmNMXdqkVeqeSiThXAaUpToQY4wxnA8cDixS1StFpDvwoMcxGWPSlADB1C0aSqpEEk4H+ExE/sOBczitLJIxxiRXuaq6IhIRkQJgGzZ9yRhTj+iiodbTw/mv2GGMMSa15sdqHz9AdLX6HhpZ+WmMacta0ZC6qj4mIiFgWKxppaqGUxuWMca0Par6g9jD+0XkDaBAVRd7GZMxJn2JJm/RUKolstPQZOAxYB3R3tu+InJ5bM9NY4wxzSQiRzT0mqoubMl4jDGZw9/g/j7pI5Eh9buBk1V1JYCIDAOeBo5MZWDGGNOG3N3Aawqc2FKBGGMyR3Rry1bSwwkEq5NNAFX9UkSCKYzJGGPaFFWd4nUMxpjMIwpBp/UknPNF5CHgidjzS4hOZjfGGJMEInJuQ6+r6gstFYsxJpO0okVDwPeB64AbifbezsH29jXGmGQ6q4HXFLCE0xhTRzJ3Gkq1RBLOa1X1HuCe6gYRuQn4U8qiMsaYNkRVr/Q6BmNMBtLMWTTkS+Ccy+O0XZHkOIwxps0Tke4i8pCIvB57PlJErvY6LmNMeoouGkrs8Fq9PZwiMh34FjBQRGbVeCkf2JHqwIwxpg16FHgE+Fns+ZfAs8BDXgVkjElv/lYwpP4RsAXowoElO0oBK0RsjDHJ10VVZ4rIbQCqGhERx+ugjDHpSRQCGXKHqDfhVNX1wHpgYsuFY4wxbdpeEelMdKEQInI0sNvbkIwx6ap6SD0TNDqHU0SOFpFPRWSPiFSJiCMiJS0RnDHGtDG3ALOAwSLyIfA4cIO3IUW5TgTXsV2NjUk3fjexozEi8rCIbBORpTXafiMii0XkMxF5U0R61XjtNhFZLSIrReSUxq6fyCr1e4GLgX8C44DLgCEJvM+koeLtK9m05t+EsgoYcMhZhLIKvA7JGBOjqgtF5ARgONHOi5Wq6mmWV7G3iI9m3cTGlW+AOnTrN5Fjpv2Z9l2GehmWMYbYXurJ6+F8lGjO93iNtjtV9ecAInIj8D/AtSIykmhuOAroBbwtIsNUtd4B/kQSTlR1tYj4Yxd6REQ+OqgfxXhGVfnw9R+zctETgCK+AB+8/mNOnf5Peg04zuvwjDHELQA/TER2A0tUdZsXMb3+0KmU7FyLutG8d+uGj3jtgamcd/PnhLLbexGSMaYGXwK9l4lQ1TkiMqBWW80R7Txi032AacAzqloJrBWR1cAEYG69cSYQQ5mIhIDPROT/ROTm2IeaDLJx9Zt8+dmTOJEKnEglkaq9RKr28uaz03GcKq/DM8ZEXQ08SHRHt0uAB4gOs38oIt9u6WDClaXsLdm8L9kEQJVIpIKvPnu2pcMxxtRSvWgokQPoIiLzaxzXJPQZIneIyEai96T/iTX3BjbWOK0w1lavRBLObwN+4HpgL9AXOC+RIE36WLnoH0TCZXXaVV2+Xm8d1sakCRc4RFXPU9XzgJFAJXAUcGtLB+NEKlG37giZEy5j1/YVDb5XVflg81oeXDaPOZvWoJohKxuMyTA+1YQOoEhVx9U4ZiRyfVX9mar2BZ4kmgtCdMpPnVMbuk6jQ+qx1eoA5cCvEgnOpB/XjRzUa8aYFjVAVbfWeL4NGKaqO0Wkxedy+oM5iK+yTnsglEfnXmPrfd/uygrOePlhVpfswHFdAj4fA/I78trZV9MxKyeVIRvTpkS3tmyxj3sKeBX4BdEezb41XusDbG7ozfX2cIrIzNifS2IrlA44mh+3aUlDD7uIQLDuTAhVl579j/UgImNMHO+LyCsicrmIXA68BMwRkTxgV0sHEwzlkd9pIAd2ZgjBYB4DD61/oOu2ua+zongbe8NVVDgR9oSr+HJXEbd++GrKYzamrfFrYsfBEJGaqwPPBr6IPZ4FXCwiWSIyEBgKzGvoWg31cN4U+/PMgwvTpJOBh5zN6qXPUbj6HSLhvfj8IUT8TDlnBoGg9TgYkyauIzpl6ViiWd7jwPMaHY+e0tLBqLqUlWyp0+4PZuMPZNf7vue/WkJVraH4Ktfhha+W8vcp5yGSGTujGJPuRMHnJme6iog8DUwmOtezkGhP5ukiMpzodJ/1wLUAqros1jG5HIgA1zW0Qh0aLvxefZfZTTRzBfhSVa0IcQYS8TH1gifYsv5DNq5+i6zsDgw59ALate/jdWjGmJhYYvlc7PBcZXkxTricA6dmKRVlO9m8+m36DItfei/sxh/ji2jLjf0Z0zYokqSEU1Wnx2mud1tdVb0DuCPR6ze0l3oImAGcA6wl+m27v4i8CFyrqra0OcOICL0GHGdlkIxJU7Gdhf4CHAKEiC7Y3KuqnhTMdcIVcRcbuk4VJTu+qvd9U/sO4Y31X+LWSFR9IpzYZ4j1bhqTRNFV6pmxIK+hVeq3A0Ggr6qOVdUxQD+iSerPE7m4iJwaq0C/WkR+0sB542M7GJ3flOCNMaaVuReYDqwCcoDvEE1AG5WK+20gmEMgVHfut88fpGP3UfW+765jz6RLTh55gSAAuYEgnbJyuee4sxL5UYwxTeBzNaHDaw3N4TwXmKCq+77eqmqpiPwA+JhGkk4R8QP3AVOJrmb6VERmqeryOOf9Hph9cD+CMca0Hgez0Uaq7rehnI5k5eTEyiNFq1n4/CEKOg+hx8Dj631f3/wOfD79h8xctZjFRVsY3bkHFw09nPxQViIfa4xJUJJ3GkqphhJOt2ayWU1V94hIIj/eBGC1qq4BEJFniFamX17rvBuA54HxiYVsjDGt1gEbbQBbSGyjjZTcb0WEM7/3H+bP/jnrV7yM+PwMOuwCxk39VaND4+2CWVw10m7rxqRaOvReJqKhhFNFpCPxi3smMvM7XhX6o2qeICK9gW8CJ9LADTBWDf8agH79+iXw0cYYk5FqbrRxM4lvtJGy+21Ou25MOu/vTOLvTfgxjDEtIz2GyxPRUMLZHljAQVSTj0nkfX8EblVVp6Fvy7Fq+DMAxo0blxl/s8YY00TN2GjD7rfGtEHRIfXM+GfaUFmkAc28diJV6McBz8Rufl2I1nuKqOq/mvnZxhiTMURkCQ18kVfVwxq5hN1vjWmj/JEGy1+mjUa3tmyGT4GhsQr0m4CLgW/VPEFVB1Y/FpFHgVfs5mdM4lwnzPbVHxCp2EPXIccSyuvkdUjm4DR3gw273xrTBsn+fdLTXsoSTlWNiMj1RFdD+oGHY5Xpq6vU35+qzzamLSje+BlzH7gY14luse06YUadfjuDj7/G48jMQeipqh8f7Jtb6n6rqlSW7SAQakcgWP9OQ8aYlpOswu+plsoeTlT1NeC1Wm1xb3yqekUqYzGmNXGdMHMfuJiqsuID2pe//ls6DRhHx35HeBSZOUh/BY4AEJG5qjqxqRdI9f123bKX+OS1/6KyrBgRYfDhF3PUGXfiD6R3qSNVZfWSmSybN4Nw1V4Gjfomhx79A0JZ+V6HZkxS+OrZ2SvdNLTTUINjc6q6M/nhGGMSUbT6Q1wnUqfdiVTy1QcPU9DjI4q++pB2XQcx6Niradd1kAdRmiaouYon7boOt677iPdfuCa2zWXUV58/QyRczvHnP+BhZI374NWbWbX4mX07Jn32wRq+WvpPzr3mfQLBHI+jM6Z5krmXeqo11MO5gOgk9vpWP9pvMGM8Eq7cE/8Fddm8eBabl7yMG65g+6o5rP/kSY6+6gm6Dp3UskGapvDFytD5ajzed+/1+gv+53PuPCDZBHAiFaxf/i8qy35PVm56zh0uKV7Hl58/hROp2NfmRCrYs7uQ1UufY8TYb3sYnTHJoPidDF80VHOCuTEmvXQdfAyuU1WnXXyB6JxOjQ6xqBvBcSMsnPlDTv7pfNvHOn3VLkO3sMZrnn/BL925Jm67zx+irPTrtE04txV+ivjq/pqLhMso/OodSzhNxhMFyZAh9Yb2UgdAoi4VkZ/HnvcTkQmpD80YU59QXidGnXE7/mAOSPSfsZMVojirnKLcMopzKgn79n/rrSwtoqLka6/CNY1Q1QGqOkhVB8Y5PB9Nyu8Yv//BdcLkdxzQssE0QW677nGH6Hy+IO3a92nxeIxJPsWnbkKH1xJZNPRXojsLnQj8BijFtqI0xnODJ11DpwETWPfxExTvXM2a7fvndbqiFOdW0aE8RMjxgzr4Q7keR2wyVWnx+rjtee37Ekjj/656DjiOrJyOhMNl+3r9AXz+AIcceaWHkRmTPK2mhxM4SlWvAyoAVLUYCKU0KmNMQjr2HcPYC+6mmB0HDrFL9CjNCiP+AF2GHEcop71ncZrMFakqY0/xuriv7S3Z1LLBNJGIjzMvf5VO3UbiD+QQDOWRnduZky54gvadBnsdnjHNJqr4XDehw2uJ9HCGRcRPbBcMEelKYnupG2NayM5ty+O2Oz4lv/sIjvzWfS0ckWktfP4Q4gugcRYmhLIKPIioaQo6DuD8az+ipHgtkaoyOnQdgc/n9zosY5JGkjRcLiIPE92EYpuqjo613QmcBVQBXwFXququ2Gu3AVcDDnCjqs5u6PqJ9HD+GXgR6CYidwAfAL89uB/HGJMsL69dzuQX7mf4P+6k0h9/WDOYlc+Um98mK69zC0dnmkJEOjV0eBmbzx9g0GEX4KtVb9MfzGHEUZmzyUBBx4F06j7Kkk3TuqjidyIJHQl4FDi1VttbwOjY9rpfArcBiMhIojuajYq956+xzsl6NdrDqapPisgC4BtEB+rOUdUViURujEmNvy2Zyy/nvUVZJLrL0OvZYzgt8hEh3X9TCQRzOfzYm2xlemZI6zJ0R51xJ3tLNrFt/Vx8/hCuU0n/Q87m0ON+CERXfa9b+RoVZTvoNWASnbqN9DJcY9oMAcRNTlkkVZ0jIgNqtb1Z4+nHwPmxx9OAZ1S1ElgrIquBCcDc+q6faOH3bcDTNV/zui6cMW1VpRPh15++vS/ZBJiTO4Y8t4Ip5Z+RFQiirsvI8d9l7KQfexipSVS6l6ELhvI45fKXKNmxmpKda+nY7RDyYqu8i7Z8xiuPn4W6Dq4bAYRBo85h8rS/IZLIIJox5uBpU4bUu4jI/BrPZ6jqjCZ82FXAs7HHvYkmoNUKY231SrTwez+gOPa4A7ABSOsbpDHpwAmXs3vzMkK5HWnXNTmLFNaWxPmuJ8Lr+RP5ssdU3jv9fHLb9SAYykvK55mWI9Hu6EuAgar6GxHpB/RQ1XkehwZAQechFHQesu+5qsvspy+mqmL3AeetXf4SfQefxJBDL2jpEI1pc5qQcBap6riD+gyRnwER4MnqpjinNbjlUaOF30XkfmBWbJ9eROQ04KSDCdiYtmT9vKdY/K/bEfGhboR23YZw9FVPkNO+Z7Ou2y2nHVWR+PNxuuW0s9W3mS2jytDt+HoxlZUlddoj4TJWLHzUEk5jUk01aUPq9RGRy4kuJvqGqlYnlYVA3xqn9QE2N3SdRMY7xlcnmwCq+jpwQtPCNaZt2bnuUxa/+FOcqr1EKktxwuWUbFnO3Aens//f68HpmJXD+IpNBN0Dk86QG+ac0i+adW3juYwqQ+c64bjdHNHX6u6EZYxJLkHxueGEjoO6vsipwK3A2apaVuOlWcDFIpIlIgOBoUCDIzGJlEUqEpHbgX8Q7S69FNhxUJEb00Z89f4DOOGKA9rUddi7Yz0lW5bTvteog752uHwXV29+C+08kU/bDcSHElCHb23/mP6Rbc0N3Xgro8rQdek1Fp8/WKc9EMxl6GHTPYjImLZHNDk9nCLyNDCZ6FzPQuAXRFelZwFvxRagfqyq16rqMhGZCSwnOtR+nWrDgSSScE6PfeiLsedzYm3GmHqUl3xNvOks4vNTtbd539f8wWyy1OX7W//DFds/oNSXTefIHvwowY59G7+ASWe1y9CdD9zubUj18/kCfOO8R3jz2W/hug6uU0kglEfXnmMZPvZSr8MzpvVTTVrCqarxcruHGjj/DuCORK+fSFmkncBNIlIAuKq6J9GLG9NW9TjkZHYVfo5bq5fTjYTp0GdMs67tD+bQc/RpbF76OjlOFTmxoRJ/MIdBx32n0fer67Ji3gyWf3QfVRW76TFwEuNO/tUBi0GMNzKxDF2fwSdy0Q2LWPX5M5Tv3UbvQZPpO2SqrVA3poVI+g6CHKDRhFNEDgUeBzrFnhcBl6vq0hTHZkzGGjjxMtbNfYyK0q24kUogmhAOn/ojgjnN351lzAV3U7lnO8UbFiH+AG6kit5jv8ngSd9t9L2fvPZfrFr0JE44Oh1nwxevsmXNe5xz/SfktW+wqoVJkUwvQ5eX35Mxx93sdRjGtEHJ6+FMtUSG1P8O3KKq/wEQkcnADOCYFMZlTEYL5hQw+Za3WfP+A2xZNpusdp0ZfPz36D58SnKun53Pcd9/kdJtqykr3khBjxEJrX6v2FvEqoWP48SSYADUxYmUs+yjvzDhtN8lJT7TZFaGzhjTZIIitJ6EM6862QRQ1XdFxAr8GdOIUE57Rpz8Y0acnLri6/ndhpDfLfGh8F3bvkB8IaDygHbXCbNtwydJjs4kysrQGWMOjiKaGRUhEkk414jIz4EnYs8vBdamLiRj9ivZuYYPX/8vNq19D78/i2GHT+eoqb8mEIy/d7hpWG5BTyJV8adhF3Qe2sLRmDjGq+q11U9U9XUR+Y2XARlj0ltr6uG8CvgV8ALRIZ45wJWpDMoYgIqyHbz44BQqK3aDurhOFV8seozi7Ss48/JXvQ4vIxVtXhQtRB9nzk/vIckZ7jfNYmXo2hBVpWTnV4jPT36HAcTKzhjTBEq0KlH6S2SVejFwYwvEYswBvlj4GJFwOdTYtsuJVLJt03x2fL2Ezj0O9TC6zLP5q3dZ9M7/xk02fb4glRW7PIjK1GJl6NqIbZsW8PZzV1CxdzuqSrv2fZh64RN06jbS69BMRlFEMryHU0RmNfRGVT07+eEYs1/Rls9wIhV12kX8FG9fYQlnE3z2n9+z9IM/EAmXxX3dF8iiXft+LRyVqc3K0LUNleXFvPr42YSrSve17d6xipcfPY1Lbl5hU4ZME2V4wglMBDYSLc/xCfE3ajcmZTp3P5T1X75RJ+lUdenQZZhHUWWestKtLHn/rgNXptcg4ieUXUCfYSe3cGSmNitD1zasXvocrlt3GNR1wqxd8TJDD7vIg6hMZsqcHs6GKvP2AH4KjAb+BEwFilT1PVV9ryWCM23biCOvxB/IouZ3HZ8/i849DqNLz+YVT29Ltq3/CPHV3X4wSujadwKnf+fNuFsUmhZXXYauv6r2B35EtAydaUXKSrfgRMrrtDuRSsr2bPUgIpOxREGqEjs8Vm/CqaqOqr6hDcm9RwAAIABJREFUqpcDRwOrgXdF5IYWi860aTl5XZh21dv0HHAcIj78gWyGHnYhp13yvNehZZRQdvu4ixFE/AwZewmnf2c27TrYcHqaqFOGDrAydK1M975HEQjV/b/V5w/Sve9RHkRkMpeCOIkdHmtw0ZCIZAFnEJ20PoDoPr8vpD4sY6I6dh3OWZe/iqoL/7+9+46Po7oaPv47W9Rly7Ys994Lxr1QbROHFnozEHBCiAMhEEJIQnh5QntIqEneFEgILyUQIJRAwBiMwWCDce8d3C25N1l9233/mJG8klbSyt7R7krn689+tDt7d+bsePfsnTt37kX0Ks4T0LHXWbi96fgriqotd3lSGDzh1jhFpeqgw9C1AN36TqFt3hAO7V1T1dLp9qbTsfsEOnQdG+foVDIRDCJJfpW6iLyEdTr9Q+BB7UOk4knnZT5xLreHc6e9x+yXL8dXfgwRF6FQgPEXPklbvfAq0egwdC2AiIvvTJvB2kXP8M2q1xBxM2DkjQwZfbMeVKvGS4DWy2jU18J5A1AC9AfuCPsSCGCMMSc/IbRSqkm06TCYq+5az4H8JQR8JbTvPg5vhFN6Kr50GLqWw+NJY/jpP2P46ToHvToJYsCV5BVOY4w2KSnVjIjLRV537R+WiHQYOqXUiTHgiv8FQdGIZqYhpZRSztJh6JRSJyB5Wji1FVMppeJPh6FTSjWaETASjOrWEBF5XkT2i8jasGVXicg6EQmJyOga5X8tIptFZJOInNvQ+rXCqZRScabD0CmlTkxMh0V6ETivxrK1wOVYFzBWEZHBwFRgiP2ap0XEXd/K9ZS6UkolAB2GTinVeLE7pW6MmSciPWss2wBEGj3hEuB1Y0wFsE1ENgNjgQV1rd/RFk4ROc9uat0sIvdEeP56EVlt374SkVOdjEcppRKRPQzdV8BIrGHoxhhjHjbGFDRiHZpvlWqJom/hzBWRpWG36Sex1S5Y/c4r5dvL6uRYC6fdtPpXrL5I+cASEXnPGLM+rNg24GxjzBEROR9rCje9jFapGDDGsHfbF+ze8hlpGe3oNewqMrI7xDssFdlJDUOn+VapFkoMxu2PtvRBY8zohotFt+UIy0x9L3DylPpYYLMxZiuAiLyO1QRblQCNMV+FlV8IdHUwHqVajFAwwKevTmXfjvkEfCW4PamsmPO/TL72VTr3nRzv8FQNMRiGTvOtUi2SidfA7/lAt7DHXYHd9b3AyVPqjW1u/QHWrEa1iMj0yibgAwcOxDBEpZqnrWveYN/2Lwn4SgAIBioI+Ev5/I1phIJRHw2r5KH5VqmWSMC4glHdYuw9YKqIpIpIL6AfsLi+FzhZ4Yy6uVVEJmElwF9Fet4Y86wxZrQxZnT79u1jGKJSzdPmFa8R8JfWWm5MiAP5S+MQkXJYs8q3oYCPglXvseGjx9i1/C2C/vK4xKFU4jMgoehuDRCR17Au+hkgIvki8gMRuUxE8rHGCv5ARGYBGGPWAW9gnUX5CLjNGFNvrdbJU+pRNbeKyDDgOeB8Y8whB+NRzVwo4KPk8E5Ss3JJyciJdzhx5XLVMTqFMUhdz6lk5ni+LT64jbIj+bTqNIjUrNyTCrY+FcUHmfvnC6goOkjQV4I7JZO1Mx7i7NtnktHGuV4AB7d8xbYF/8RfdpQup15M15FX4PakOrY9pWIlVq2Xxphr63jqnTrKPwI8Eu36naxwLgH62U2tBVjjNV0XXkBEumMN+3GDMeZrB2NRzdzW+c+zfuYjGGMwoQCdT7mQEVf/Hrc3Pd6hxUW/UTeyf+fCWq2cbm8auV1GxSkq5SDH8q2/vIhFL0zj8M5luNxeQoEKeo6fximXPBxpqJSTtvb9Byg7WoAJBgAI+koI+ctZ+fYvOO3m12K+PYCv5/yJTbN/T9BfBsChbYvYvvBlzvzxf3F5UhzZplKxYaJqvUwEjp1SN8YEgJ8As4ANwBvGmHUicouI3GIX+w3QDmvA0JUiouf6VKPtWfsh62Y8RKCi2PpxClSwe81MVrx5d7xDi5uegy+lx+BLcHvTcblT8KRk4k3NZvK1r9Xd+qmSlpP5dsW/f8qh7UsI+csJlBcRCvjYsegVti96xZH3snvNzKrKZiVjghzYNBcTiv3FERXFB9n48ZNVlU2AoK+UY3s3UrCq3inulYo7I4aQ2x/VLd4cHfjdGDMTmFlj2d/C7t8M3OxkDKr5+3rO/632YwEQCpSze/X7+C9/FG9adpwiix9xuTjzir8z5PSfsGfLXFIz2tBj8MV4U1vevmgpnMi3xoTYu342JuirtjzoL2PLvL/Ra/wNJxFxZHU2mjo0u/yhbYuqWm7DBX2l7F7zAd1GXenMhpWKlSSZS11nGlJJr6xwb8Tl4nLjKznUIiucldp2PIW2HU+JdxgqWYWCddYAK44dIH/Ff2jXewLprTvFbJOdh13MruVvYcJGUxCXhw4DJjnS/7jO/CAuUjLbxXx7SsWUGExLP6WuVFNp12scSO2PssvtJT2n3okPlFL1ELe3zkpXwFfCird+wezfjWP9zN/GbJtDL3qArHY9cadmIi4PntQs0lp3ZPhVT8VsG+Fy+5yOO6V2X2+3J5VeE250ZJtKxVSMrlJ3mrZwqqQ36Nxfsm/DJwR9ZVSOyuD2pjPkO/fjcnvjHF3TCQYqWDHnEb5e+gIBfxkdep7OuAseJ6f9gHiHppLYiKueYvFLNxEMVIA5/qNlQgGCFcWAddGNv7yIYZc+grhOrh0jJSOHyXfPZd/GORzbu4Gs9n3oOPjbjn2XxeXm9Olv8tU/phKoKAYRQkE/Qy9+iJyuwxzZplKxY5wYY9MRYky9MxElnNGjR5ulS/XaIlVd8YGtbPz4SQ5tX0x6TmcGnHMnHQa2rBl15rx6HQWbPyEYqByzUPCmZnPZ7UvIaNW4U54isiyGU6CpJFWZbwt3r2Pz3L9xtGA1xQe2VDvdXUVc9Bh7HSMcaol0mgmFOLxjKYHyItr2Goc3LSveIakW4GRz7dCcNuaNM86JquyQD96Oa17XFk7VLGS1783o65+Odxhxc+zw1hqVTQBDMFDOhkV/Z9SUB2q9xhjD3p0L2Lr+HXylRyg+8DVH92/Am9a6yeJWyaF15yGMuvbPHNg8n0UvTCMQqcJpQuxa9iYDptxFRhJ2ZRGXi3a9xsY7DKUazxX/0+XR0AqnUs1A4YFNuNwpNSqcEAr6OFiwPOJr5n94N1+v/BcBXyleO18JECze73C0Klm16T4CEwrU+bzLncLR/FVJWeFUKhkZkueiIa1wKtUMtGrXl1CNoWvAqgBEukp9f8Eyq7LpL8UdVtlUqi6+0qMseu1m/KGyOq82NSZIRo5zswEppWpLlgqnXqWuVDPQOrcfHXqejtuTVm25253CoPG31Cq/Y9NMAvb81IJWNlXDFrx8Iwe2fEEIPwHxY2pM1S4uD1m5vWndRYfhUqrJCBhXKKpbvGmFU6lmYvK1r9J3xHetSqcI7buO4bwffEhWTrdaZd2etKoZh4x9U6ouJYd3cmjnUkKVfTddEHIFrUqnuHC5U8jtczqnTf+3I9NdKqXqYp1Sj+YWb3pKXalmwuNNZ8JFv2f8d57CmFC9U1j2HXoFK754AkJ+Qq6k6XOu4qS8aC8udwqhsD7CRgxBV4DsDn2ZdOsHpGS0ASDgK2XXyrc5kr+C7LyB9Bh1DSnpeiGaUo4Qg3HV3a86kWiFU6lmRkQQqX9GllZte3P6+U8wf+bdiMuDCYXAX44YcHvTgKKmCVYlhVYdB0XsI4wIeX3Prqpslh3by5y/fAtf2VGCvlLc3nTWf/IYk2/7iOz2/Zo4aqWaPwMJcbo8GlrhVKqFGjhyGj0GXMiuzR8j4qZ7/3PxeDJwuTzc+JvYTyGokpc3NZvsvH4U7l5T4xmDv/RQ1aPVM++nvGh/1ZXsQX8ZwUA5S9/6KZNunYlSKvYS4XR5NLQPp1ItWHpmLv1PvY5+w64hNS0HtyflpGeKUc2PMYaifZsiPlew7nhFcs/6D2sPm2QMh3cusWYqUkrFWOz6cIrI8yKyX0TWhi1rKyKzReQb+2+bsOd+LSKbRWSTiJzb0Pr1l0WpBOErL6Tgm084kL+UZJsBTDV/dY2/GQodHwReXHVNPymI6M9NuIpjB9g25x9seu9xDm76Ur/z6sSI1Z86mlsUXgTOq7HsHuBTY0w/4FP7MSIyGJgKDLFf87Q00JdLT6krlQDWL3iGZbPvx+VOwZgg6Zl5TJn2Dq3a9o53aEohIuT1m8i+bz6vNp864qLjgG9VPewx8mq2LnqRUFhrpri8dBp0fC50EwpxpGAlwUAFbbuNxO1Jbaq3kTAObvyCFc/9CBMKEQpUsHPeS7TpM4aR05/D5dafZdU4sTqlboyZJyI9ayy+BJho338J+Bz4lb38dWNMBbBNRDYDY4EFda1fDzmVirO92+ez7JMHCAbK8VccI+Aroejodma/dJm2eqiEMeLSJ0nJaIPbmwGA25tBamY7Rlz8WFWZoefdR07nU3CnZOL2puNJzSKzXQ9GXf4HAI7uWcfMR4cx79lLmP/CVN5/qD/5a96Py/uJl1DQz8oXbifoK6uqmAd9pRzZspjdS9+Nc3Qq2RgMIXcgqtsJ6mCM2QNg/82zl3cBdoWVy7eX1UkPpZSKsw2L/k7QX31KSoyhrGQ/h3avILfLyPgEplSYrHY9Of+Xy9ix/A0Kd68lp8swuo+8Cm9qdlUZT0omk348i0M7FlO4Zx1Zub3J63MW4nIRCviY9+wl+EoPV1vvkn/fQk6nIWTltozW/MIdqzGhYK3lQV8Zuxe9TddxV8YhKhULgbIiNrzzMHuWvY8J+mk34AwGX/UQGbndnduofUo9SrkisjTs8bPGmGdPfMu11BuIVjhVTB0sL+GTXV/jFhfndh9Aq5S0hl/UwlWUHiLS91TEja/saK3le3cuYMHH93J471rSs/IYceYvGDhymg64rRznTWtF39NurreMiJDbcxy5PcdVW773608jDq0UCgbYtuQVTjn/NzGNNVFZF+VF/l0WPZ2etIwxLP7L9RTt3oSxP+cHN37Bgqcu5az/+RxvRiunttyYU+oHjTGjG7mBfSLSyRizR0Q6Afvt5flA+KwiXYHd9a1IP93qpC3Zt4tn1i5gxYF8thUdJNXtQQRCxvDiOddyQY/B8Q4xoXUfeBEH8pcS9JdVWx4K+sjtWj037C9YysxXLiVgly0u3MWCWfdQXnqIEWf+vMliVqqxfKVHMKb2D6MJ+akoPhCHiOKjdfdhuFPSCVaUVFvuTsmg64Rr4hSVOllHty2jZN+WqsomACZE0FdGweK36Tnx+45t2+Fhkd4DpgGP2n//G7b8VRH5PdAZ6Acsrm9F2odTnZSXNy7nwhkv8ObmNXxTuJ+ACVES8FHs91Ea8DPtk9c4XF4a7zATWv9RN5Ldpidub7q9RHB70xn97YdJSat+VLz0s/+tqmxWCvhLWfnlUzrsjEpo7XufHvFUsjslk44Dp8QhovgQl5uRNz+LOy0Ld2om4vbi8qbR4dRz6Tj8gniHp05Qyb4tRGq5DvnLKSpY79h2DbG7Sl1EXsO66GeAiOSLyA+wKppTROQbYIr9GGPMOuANYD3wEXCbMab2FzyMtnA2A8v25/Pg4k9YfWgPPbLbcO/oyZzbvb/j2y0L+PnF/A8oC/gxRP6cuUSYsX0dNw4c43g8ycqTksF3pn/GN8tfYceG90nPas/AsdPp0GN8rbKH9q2LuA5jQpQW7yM7x8G+QkqdhMy2Peg97ntsW/IyQZ91EOr2ppPTaQidB7esilZOrxFMengh+1bNwl9yhLb9J9Cqi54JSmaZHfoSqVujKyWdbCf/b8UQPPELgqoxxlxbx1Pn1FH+EeCRaNevFc4kt3jfLr4z4wXKAtZYeIfKS7lx9uv86ayLuabfcEe3vfrgHtxV/QYjHz0FjaEsmBzzvMaTJyWDQeOnM2j89HrLtW7bh7LifbWWG2NIz2zvVHhKxcSpF/2WvL5nsWXhCwR9pXQbfiW9Rl/XIocC8qRm0mXs5fEOQ8VITq+RZHbsS1HBxuOn1cWF25tGl3FXOLrtRlw0FFd6Sj3J3b/o46rKZqXSgJ97F8xyfEidnNR0/FV9sur6KBnO6z7A0ThaktET78VTderd4vFmMGTs9FrLlUo0IkLnwedz5k1vMPGWGfQZ/z1cnpR4h6XUSRMRxt72Cp3HXIbLm4a4POQOOosJd/8Xb7pTFwxZwyLFaqYhp7W8w8pmZtXBPRGXH60o46ivnDapzlVCBrRpT59Wbdlw5AABY7DGZzAg4EJI9Xi469Sz6ZHdttZr84sLOVBWzMA2eaR76pqdxDnlAT+7S4rIy8gky5s8A0937nUWky9/ngWz7qG4cBeelCyGjb+NkWf/Kt6hKaVUQjOhENs/e47tnz9PoOwYOb1GM/Dy+8juFJsuaJ70bE657lFOue7RmKwvWsnSwqkVziTXObMVm47WvsLT63KR7XW+5eDN82/gspkvsavoKC4RyoJ+Ts3twOi8blzbbwSj8rpVK3+4vJTvzn6dJft24XW5CRnDw+O+zQ+HjqtjC7FljOGplfN4cvk8AIImxLSBo3j0tPPxuOqdlSth9Bx4IT0HXkgwUIHLnaLDIakmY0JBjuxaQSgYoG33kfW2Tgb95RwrWIc3I4esvD4EKkrIX/ofjmxfSlZeX7qPn0pqtnYDUU1n/Vv3U7D4bUI+68LLQ5u+YOHvL+f0ez4ko123Bl6doMTxq9RjRiucSe6eURO5be67lIadVs/weLll6PgmqUB1zWrN4qtuZ82hvRwsL2FE+y71tqp+d/ZrLNq7C18oSLndt/O+RbPok9OOyV37Oh7vK5uW88TyudX21z83LSfd4+Xh8ec6vv1YaolTAqqmV7pvO9tnPM2RrxdTXnYAX5qPoNeACKOve5qOg2tfYb5r8Zusffs+RAQTCpLWpiuBskICFUUEfWW4PKls+fSvTPjJW7TuOtTR+I/t3sCmD5/g6I4VpOV0pv+376TD0JZzVbyy+IoPU7DwzWrTrgKE/BVs++RZhlzzcJwiO1mNGoczrpKuwukvL+SjP46n+PB2str1Yti599N5YM255k9cwF/GzrXvcnTvenI6DKT70MvwpGTEbP2xdmXfYRwuL+XhJZ9SHgzgEuGHg8fyP2O+1fCLY0REGJbbqcFy+cWFLNmXj6/G0CilAT9/WjW/SSqcT66YV62yCdbV9v9Yt4gHxk7B7dJuzUpVCvkrWPbbqwn6ysCEcANpPi+lqUX4PT6WPH8Tub1Po02PkfQ8YxpprTtydOdK1r51b7VxZUv2f1N9vYEKQoEKVr12F2f94mPH4j+2ez3z/++lVvwYKooOsPylW+k96VbyBk6kdbehuJKoS41qWPHezeQvfBN/aSF5QyeTN/QcxOWmZN8WXJ6UWhVOEwpQuGNFnKI9eQYIuuodjShhJF2Fs/jwdgr3WVfpFu5dx1evTmPC1OfpMvjCk1536bE9zHpmEr7yQgK+Ejwpmaz8+EHOu/UzMlrXO0VoXE0fOp6bBo/hYFkpbdLSSU3QKz4PlBXjdbmrWjbDLT9QQEFxIV2yWjsaw/6y4ojLK4JBSgN+slP0x0epShVH9xP0tbf6ZtsEIb0ii5AcAzEc+mY+R7YtYfuXL3Da7e+wbd7zBAPl9az1uKK9X+MvK8Sb7sz3fuMHj1dVNsH+UxFg60d/YccnzyIuN0Ove4JOI0/+90PFX8Hid1j373sJBf0QCrJ3+fvk9BrJqFteID23O6FA7ZmuEDdZMerDGR/RjbGZCJKvOafGTBVBfxkrZ94Xk1UvnfFLyor3E/BZM0AEfCWUFR9g8Xt3xWT9TvK43HTMzE7YyibAwDZ5hOq4cv5oRRkT3voru4pqT+UYS8NzO0dc3iEjm6wm6POqVDIJlpdUq2xWkqp/llDAR6C8mDVv/pryY/siviYiEcTl3EWDR3euILyy6Q5Z+VGwYg76ylj1z59StOdrx2JQTcNfVmRVNv3lYJ9FC/pKObptOXtXziStdQfaD51cq0Xb5U2h1zk/ikfIsSEQklBUt3hLvgpnBMWHt8ZkPQUbP8SEarS+mSC7v57t+BBDLUG6x8tD46ZEvCrdAEW+Ch5fMdfRGP53/LlkeLzVhudN93h5/LTzHb345tjBb9i37cuIc6MrlaiMadwYukd2LCNv0CRc3rQGy4rLQ/v+Z+JJda7LUlrO8QPMyuqx1Bic24SCbHrvMcdiUM47sP5z5j5wplXZrCHoK2XPsvcAGHbDH+gy7iqr0ikuMjv0YdSPnie7c/IO3WfNNKTDIjWZ1OyOPLH8c2bv2kyXzFb8+JQJjOnQ+CvORCLXv/Uq4NiZPnQ8qW4vd8z7L6Eag8UHTIjP87c4uv1ReV2ZfckPeWTpHFYd3E3v1u349ahJnNm5lyPbKy85xNyXr+HI3jW4XF5CQR9Dzv45p0zWYYxU4jP2v/BKmsEQdAUiTaqCy51C9/HXs2P+K5QX7qnqL+fyppPeuiPlhXtBBERIz+nEqdf+3tH4+3/7p6x4+XarP2kdbQYCHMtf42gcyjlFe75mxf/7MaEaU/6Gc9vXYbi9qQy5+mEGX/kAoYAPd0pzGLs4eU6pJ2GFs3qWc3nTeSNzJLOXz6U8GEAQPtixkT+fwEw73Ydexo7VbxEKHb+oRNxeug2+WCudMXRBz4H8fP77VARrd3TumJHt+PaH5Xbi3+dd7/h2AL587UYOFazAhPwEsRLiunl/IKfDYLoNuahJYlDqRBmBgMuPJ3T8rERQgvjdfsTtwYT1x3Z5Uuky+nK86dmc+fOZbP/yJfaunok3sy29z/4BeYMmc6xgPYUFa8lo2422fcY7nlc7nnIegy/9DRtmPEqoohT8tX+YDQZPVo6jcSjn7Jj74vGZfSJwp6TT7bTqMzaKy91MKpuWRDhdHo0krHBWJgzBm57Dzn6XM6u4FT478RkMZQE/P/tiBpf1HkpKI/o0jrrwdxwqWE5pYQGhoA+XO4X0Vh0ZfdGTDryPlqt9eiaTu/bl0/zN+MIqnRkeL3cOPyOOkcVW6bE9HNi1GBOqflV80F/KgrdvZd3cp+g+7Ar6j70JT0pmnKJUqn4Bj5+gsQ7mrVlNILvzALxt23No8wJcbg8mGKR1j+EMufQBALzpreg35Xb6Tbm92rpadRnc5HOG9zjtBrqNu5bSwzv54ndTMIFgVYutwRreqfc5tzRpTCp2Sg/uwIQiX6Utbg89Jv6Adv0nNHFUTceIIaRXqTvNMOqSP/DYpgJ8of0RS2w4sp9T67hIJJLUjLZceMdC9m6eQ+H+TbRq349O/b6FK0kGBE8mz02+ku998gbzdm8jxeUmaELcN/ocLuw5KN6hxYyv7Kh1Gp2KWs/5K45xqGA5R/dtYNvyVznv1s9wR9HvTammZLBaTipP2RlAXC6G3fAHWnUZRPG+zRTt3URmXh9adRoYx0jr53J7yGrfmxE3/Z3lL/wIAiGMCSEeD+0GnUmXkZfEO0R1gtr1m8DRbcsI+avnWXG5Gf+zd2jd3dlxXhOBtnA2gRUzfkW7U+6J+Jw/FCTnBKZ1dLncdO4/hc79dWBgJ7VKSeM/F9zInpJj7C8rpl/rXDKa2VXirXL7Ig0crAQDZRQf3sb2VW/SZ/QNTRSZUtExrhBlKcWk+NNJSckmp+cIhk59tGpWlqwOfcnq4Pz4ubHScei3mPQ/X1Kw/F38pUdoP3Ai7fpM0C5TSazbGd9lxxf/xB86UtXFw52STpfx17SIyiYkz0xDjl6lLiLnicgmEdksIrVqhmL5k/38ahEZ2Zj1VxTv47Zhp5FR46pnj7gY1q4TPbLbnOQ7UE7rlNmKU3M7N7vKJoDL7WXMRU/h9qZbF0rUIeAvpWDTrCaMTDVHjuRbcZGS14lxd/6bbz+xnrG3/St5pwC0ped0ou/kWxn0nXvJ7XuaVjaTXEpmDqf/8gO6TphKWk5nsjoPZNAVDzDoit/EO7QmYTCEJLpbvDnWwikibuCvwBQgH1giIu8ZY9aHFTsf6GffxgHP2H+jdmHPQdw1/CyeWDGXVJebgAnRLyeXV8+9tuEXK+WwXsOvJrtdLzZ8+ReO7l1H8ZHthGp0cBdxk96q4ZmalKqLU/m2dYfBXPiLlVopUwkttVV7hlz9MFydrNNTnpxkaeF08pT6WGCzMWYrgIi8DlwChCfAS4B/GmuQy4UikiMinYwxexpaucEaggPgV6MmMn3oOFYd2E1eRhaD23aI9XtR6oTldhvDmde+RCgU5L9PDqX02O5qA2O7PCn0G3tTHCNUzYAj+dbl9mplU6lEJvYwZUnAyQpnF2BX2ON8ah9NRyrTBaiWAEVkOjDdflgx9dGitZXPXfNIwifDXOBgvIOIUjLFCskVbz2xFsGDTXvlbhSSdyTklsmxfCsia0kezSQnJJxkihWSK96TyrVb94ZmTX20KDfK4nHdJ05WOCPVBGt2IoimDMaYZ4FnAURkqTFm9MmH1zSSKd5kihWSK95kihWseOMdg2oUzbckV7waq3OSKd6TzbXGmPNiFYvTnLxoKB8I713eFdh9AmWUUkrVT/OtUiqhOVnhXAL0E5FeIpICTAXeq1HmPeBG++rJ8UBhNP03lVJKVaP5VimV0Bw7pW6MCYjIT4BZgBt43hizTkRusZ//GzATuADYDJQC349i1c86FLJTkineZIoVkiveZIoVki/eFk3zbZVkildjdU4yxZtMsZ4UMSb+YzMppZRSSqnmy9GB35VSSimllNIKp1JKKaWUclTCVjidnhYzlqKI9Xo7xtUi8pWInBqPOMPiqTfesHJjRCQoIlc2ZXw1YmgwVhGZKCIrRWSdiMxt6hhrxNLQZ6G1iLwvIqvseKPpR+cIEXleRPbXNc5iIn3HlLM03zpH861zNN8mGWNMwt2wOr1vAXoDKcAqYHCNMhcAH2KNLTdKRR8cAAAMdUlEQVQeWJTAsZ4GtLHvnx+vWKONN6zcHKwLDa5M1FiBHKzZVLrbj/MSed8C9wKP2ffbA4eBlDjFexYwElhbx/MJ8R3Tm+OfA823cYw3rJzm29jHq/k2gW6J2sJZNU2bMcYHVE7TFq5qmjZjzEIgR0TiMSF1g7EaY74yxhyxHy7EGv8uXqLZtwC3A28D+5syuBqiifU64D/GmJ0AxphEj9cA2SIiQBZWAozLvGTGmHn29uuSKN8x5SzNt87RfOsczbdJJlErnHVNwdbYMk2hsXH8AOsoJl4ajFdEugCXAX9rwrgiiWbf9gfaiMjnIrJMRG5ssuhqiybevwCDsAbcXgP81BgTaprwGi1RvmPKWZpvnaP51jmab5OMk1NbnoyYTdPWBKKOQ0QmYSXAMxyNqH7RxPtH4FfGmKB1YBg30cTqAUYB5wDpwAIRWWiM+drp4CKIJt5zgZXAZKAPMFtEvjDGHHM6uBOQKN8x5SzNt87RfOsczbdJJlErnMk0TVtUcYjIMOA54HxjzKEmii2SaOIdDbxuJ79c4AIRCRhj3m2aEKtE+zk4aIwpAUpEZB5wKhCPBBhNvN8HHjVWp53NIrINGAgsbpoQGyVRvmPKWZpvnaP51jmab5NNvDuRRrphVYS3Ar043hl4SI0yF1K9g+3iBI61O9bsHqclw76tUf5F4teJPZp9Owj41C6bAawFhiZwvM8AD9j3OwAFQG4cPw89qbsTe0J8x/Tm+GdA820c461RXvNtbOPVfJtAt4Rs4TTOTdMWr1h/A7QDnraPYgPGmNEJHG9CiCZWY8wGEfkIWA2EgOeMMRGHnUiEeIGHgRdFZA1WYvmVMeZgPOIVkdeAiUCuiOQD9wPesFgT4jumnKX5Nu7xJgTNt87SfKtTWyqllFJKKYcl6lXqSimllFKqmdAKp1JKKaWUcpRWOJVSSimllKO0wqmUUkoppRylFU6llFJKKeUorXAmEBEprvH4eyLyF/v+AyJSICIrRWStiFwctvzuCOvqKCKvi8gWEVkvIjNFpH+EckF7netEZJWI3CUiLvu50SLypwZiHi4iF5zM+65n3S+KyDY7vpUickcM1tlTRK4Le9zge1RKxS0/RVXuBN/PvSfwmiwR+bsdzzoRmSci42IRTyPjiLi/Y7Der2K0nhdF5Moay4rrKh/F+u4UkYxGvuZzEdkU9vtxZcOvanCd1X7vRORiEbnnZNfbUiTkOJyqTn8wxjwpIoOAL0QkL1IhsQafewd4yRgz1V42HGvg25ozQpQZY4bbZfKAV4HWwP3GmKXA0gZiGo41U8bME3xPDfmFMeatup4UEbcxJtiI9fUErsN6n0T5HpVSDYtpfmpEucbmgEr3Ar9t5GueA7YB/YwxIRHpjTUYejzU2t8mbJ5wEfEYYwKNWaEx5rSYRxkbdwKvYI1P2RjX2zm+FvvzJaZxc6tX+70zxrwHvNfImFosbeFMQsaYDUAAaxq0SCYB/vBBhY0xK40xXzSw3v3AdOAnYpkoIjMARGSsiHwlIivsvwNEJAV4CLjGPoK8RkTaisi7IrJaRBaKNcVc5RH5SyLysYhsF5HLReRxEVkjIh+JiDfa9y8ixSLykIgsAiaIyG9EZIl9pP+snUgQkb4i8ondcrtcRPoAjwJn2vH+rMZ7rC/25+0j5q0Sg5ZWpZqrGOanOsvZ39vPRORVYI2IPCwiP60sJyKPiMgddrl5IvKO3UL6NxFxicijQLqdB/5lv+YuO4esFZE7awZt549xwH2VlRRjzFZjzAf1bD9LRD61888aEbnEfr6niGwQkX+I1VL6sYik288Nt/PPajvuNtHub7FaFn8vIp8Bj0XK2/Y2hojIYvv9rxaRfvbyYvvvRDvfvSUiG0XkX2F59Rx7fWvsvJhaX3wR9mN9+2Sj/Tux2t52hp1vOwOf2e8LEbnWfu1aEXmsEduu3O9PA8uBbiLyjIgstf8fHgwrO8beZ6vsfdWa2r934a38Pez3tdr+291e/qKI/Mle11aJQUtr0or3VEd6O34DgsDKsNtO4C/2cw8Ad9v3x2HNsSrhy8PWcwfW0W802yyOsOwIVivCRGCGvawV4LHvfwt4277/vcoY7cd/xmodBZgMrAyL/0usmRVOxTpSPd9+7h3g0ghxvIjVmlC5P06xlxvg6rBybcPuvwxcZN9fBFxm30/Dmoqt6j3Zy8PfY32xfwWkYv2IHgK88f686E1vTXlr6vxUXzn7e1sC9LIf9wSW2/ddwBas2YYmAuVAb6zZaGZjTx0ZnvuAUcAaIBPIAtYBI2ps82LgnTriqWv7HqCVvTwXaxYZscsHgOH2c28A37XvrwbOtu8/BPwxwvbq2t8vAjMAt/1cXXn7z1itf2BNC5kevk/s/VaINZ+3C1gAnIGVR3cB/e1y/wTujBDfi1TP3SvD1l3fPjHA6fZzz4e9x+3YU1JiVT53Au3tdc0h8u/H58CmsO23s7cRAsaHlWtr/3Xbrxlm75OtwJjw/Ujt37uqx8D7wDT7/k3Au2H74k17Pw4GNsf7uxyvm55STyxVp7fB6iOF1Xxf6Wci8l2gCLjGGGPsg85Yi7TS1sBL9pGwwZ6SK4IzgCsAjDFzRKSdfWQI8KExxi/WNGNu4CN7+RqsRBBJpFPqQeDtsMeTROSXWBXKtsA6Efkc6GKMeceOpRyggf1VX+wfGGMqgAoR2Y9VIc+vb2VKNTOJkp8qLTbGbAMwxmwXkUMiMgLru7nCGHPI3v5iY8xWO+bXsL7nNXPKGViVyRK73H+AM4EV0QRSz/a9wG9F5Cysik4X+3mAbcaYlfb9ZUBPO9/kGGPm2stfwqqsRFLX/n7THO9iUFfeXgD8HxHpCvzHGPNNhPUvNsbk2/tjJVaOLrLjruzS8BJwG/DHCK+vlrvleB9OqWef7DLGzLfvv4J10PFkjfWOAT43xhyw1/sv4Czg3QgxVDulLiLZwA5jzMKwMleLyHSsCmUnrEqhAfYYY5YAGGOO2a+PsIkqE4DL7fsvA4+HPfeusVrF14tIh1qvbCG0wplc/mCMqfnli2QdcELN9mL1SQoC+6neN+lh4DNjzGUi0hPrSDDiKiIsq5w/tQLAWH2f/MY+/MNKOo35LJZXJlQRSQOeBkYbY3aJyANYR+En8kvXYOy2IPrdUaqmWOenhsqV1Hj8HFaLU0es1rFKNedvjjSfczT5Yh1wqoi4TOR+f5G2fz1WS9wo+2B7O1Z+gto5JT2KGMLVtb/D90vEvG2MeVWsLkkXArNE5GZjzJwa64mU82JxBFHfPonV/1V9qvaPiPQC7sZqyTwiIi9y/PfjZOf9Dn99+L509CgskWkfzuZpDpAqIj+sXGD3Rzm7vheJSHvgb1inCGp+2VoDBfb974UtLwKywx7Pw0ooiMhE4GDl0aFDKhPVQRHJwv6BsreZLyKX2rGkinWVY814wzV17Eq1RNHmp8bmsXeA87BawGaFLR8rIr3EGn3jGqyuPQB+Od53fB5wqd1nMBO4DKjWp9QYswXrAsMHw/oz9qvsg1jH9lsD++2K1SSgR927BYwxhcARETnTXnQDMLeelzQkYt62Gxa2GmP+hHXRy7Ao17cRqyW270nEV98+6S4iE+z713L8/yo8by8CzhaRXBFx2+VOdB+1wqqAFtotj+fbyzcCnUVkDFgtoyLiof7fj6+Aqfb968NiVzatcDYP94lIfuXNrixeBkwRe/gOrD4/uyO8trLj/DrgE+Bj4MEI5R4Hfici87FOh1f6DBhc2Yna3s5oEVmNdYHOtBi9x4iMMUeBf2Cdln8XWBL29A3AHXYsX2G1PKwGAnZH8J/VWF2Txq5UC3FC+amReQxjjA8rH71hql+1vgDr+7wWq1/hO/byZ4HVIvIvY8xyrL52i7EqNM8ZYyKdTr8ZK49strsG/aMynjq2/y+snLIUqxKyscG9ZeWdJ+w8NByrH+eJqitvXwOstU+VD8Tqi9kgu2vS94E37fcfwmqkaIz69skGYJr93tsCz9jLnwU+FJHPjDF7gF9j7etVWH1n/9vIGCrfzyqsbhPrsFql59vLfVj76M8isgqr728atX/vwt0BfN+O/Qbgp6hqpHZDllJKKZVc7BbM5cBVlX0S7TMVdxtjvhOP7avo2af8ZxhjhsY5FOUQbeFUSimV1ERkMNbVzp/Go7IX7+0rlQy0hVMppZRSSjlKWziVUkoppZSjtMKplFJKKaUcpRVOpZRSSinlKK1wKqWUUkopR2mFUymllFJKOer/A0PE0wVP0TpgAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,2,figsize=(12,4))\n",
    "diatFracMod=data['mod_diatoms']/(data['mod_diatoms']+data['mod_flagellates']+data['mod_ciliates'])\n",
    "diatFracObs=data['DD']/data['TchlA (ug/L)']\n",
    "m=ax[0].scatter(diatFracObs,diatFracMod,\n",
    "          c=data['yd'],cmap=cmocean.cm.phase)\n",
    "ax[0].set_xlabel('HPLC Diatom Fraction')\n",
    "ax[0].set_ylabel('Model Diatom Fraction')\n",
    "ax[0].set_xlim((0,1))\n",
    "ax[0].set_ylim((0,1))\n",
    "flFracMod=data['mod_flagellates']/(data['mod_diatoms']+data['mod_flagellates']+data['mod_ciliates'])\n",
    "CCPHFracObs=data['CCPH']/data['TchlA (ug/L)']\n",
    "m=ax[1].scatter(CCPHFracObs,flFracMod,\n",
    "          c=data['yd'],cmap=cmocean.cm.phase)\n",
    "ax[1].set_xlabel('HPLC Crypto Cyano Prasino Hapto Fraction')\n",
    "ax[1].set_ylabel('Model Flagellate Fraction')\n",
    "ax[1].set_xlim((0,1))\n",
    "ax[1].set_ylim((0,1))\n",
    "ax[0].set_aspect(1)\n",
    "ax[1].set_aspect(1)\n",
    "\n",
    "fig.colorbar(m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "papermill": {
     "duration": 0.049017,
     "end_time": "2020-11-16T18:41:54.229419",
     "exception": false,
     "start_time": "2020-11-16T18:41:54.180402",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "#Reminder:\n",
    "np.random.seed(42)\n",
    "df = pd.DataFrame(np.random.randn(1000, 4),columns=['a', 'b', 'c','d'])\n",
    "df['a+b+c']=.2*df['a']+.3*df['b']+.45*df['c']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "papermill": {
     "duration": 0.051984,
     "end_time": "2020-11-16T18:41:54.324830",
     "exception": false,
     "start_time": "2020-11-16T18:41:54.272846",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>a</th>\n",
       "      <th>b</th>\n",
       "      <th>c</th>\n",
       "      <th>d</th>\n",
       "      <th>a+b+c</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>a</th>\n",
       "      <td>0.929140</td>\n",
       "      <td>0.007946</td>\n",
       "      <td>-0.037053</td>\n",
       "      <td>-0.022301</td>\n",
       "      <td>0.171538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b</th>\n",
       "      <td>0.007946</td>\n",
       "      <td>1.023910</td>\n",
       "      <td>-0.032939</td>\n",
       "      <td>0.004689</td>\n",
       "      <td>0.293940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>c</th>\n",
       "      <td>-0.037053</td>\n",
       "      <td>-0.032939</td>\n",
       "      <td>1.012188</td>\n",
       "      <td>0.034186</td>\n",
       "      <td>0.438192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>d</th>\n",
       "      <td>-0.022301</td>\n",
       "      <td>0.004689</td>\n",
       "      <td>0.034186</td>\n",
       "      <td>1.013977</td>\n",
       "      <td>0.012330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a+b+c</th>\n",
       "      <td>0.171538</td>\n",
       "      <td>0.293940</td>\n",
       "      <td>0.438192</td>\n",
       "      <td>0.012330</td>\n",
       "      <td>0.319676</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              a         b         c         d     a+b+c\n",
       "a      0.929140  0.007946 -0.037053 -0.022301  0.171538\n",
       "b      0.007946  1.023910 -0.032939  0.004689  0.293940\n",
       "c     -0.037053 -0.032939  1.012188  0.034186  0.438192\n",
       "d     -0.022301  0.004689  0.034186  1.013977  0.012330\n",
       "a+b+c  0.171538  0.293940  0.438192  0.012330  0.319676"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.cov()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "papermill": {
     "duration": 0.05243,
     "end_time": "2020-11-16T18:41:54.421781",
     "exception": false,
     "start_time": "2020-11-16T18:41:54.369351",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>a</th>\n",
       "      <th>b</th>\n",
       "      <th>c</th>\n",
       "      <th>d</th>\n",
       "      <th>a+b+c</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>a</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.008146</td>\n",
       "      <td>-0.038208</td>\n",
       "      <td>-0.022976</td>\n",
       "      <td>0.314749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b</th>\n",
       "      <td>0.008146</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.032355</td>\n",
       "      <td>0.004602</td>\n",
       "      <td>0.513774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>c</th>\n",
       "      <td>-0.038208</td>\n",
       "      <td>-0.032355</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.033745</td>\n",
       "      <td>0.770334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>d</th>\n",
       "      <td>-0.022976</td>\n",
       "      <td>0.004602</td>\n",
       "      <td>0.033745</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.021657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a+b+c</th>\n",
       "      <td>0.314749</td>\n",
       "      <td>0.513774</td>\n",
       "      <td>0.770334</td>\n",
       "      <td>0.021657</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              a         b         c         d     a+b+c\n",
       "a      1.000000  0.008146 -0.038208 -0.022976  0.314749\n",
       "b      0.008146  1.000000 -0.032355  0.004602  0.513774\n",
       "c     -0.038208 -0.032355  1.000000  0.033745  0.770334\n",
       "d     -0.022976  0.004602  0.033745  1.000000  0.021657\n",
       "a+b+c  0.314749  0.513774  0.770334  0.021657  1.000000"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "papermill": {
     "duration": 0.049608,
     "end_time": "2020-11-16T18:41:54.515207",
     "exception": false,
     "start_time": "2020-11-16T18:41:54.465599",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 2.00000000e-01  3.00000000e-01  4.50000000e-01  1.52655666e-16\n",
      " -1.04083409e-16]\n"
     ]
    }
   ],
   "source": [
    "A=np.vstack([df['a'],df['b'],df['c'],df['d'],np.ones(np.shape(df['a']))]).T\n",
    "b=df['a+b+c']\n",
    "m=np.linalg.lstsq(A,b,rcond=None)[0]\n",
    "print(m)"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Tags",
  "kernelspec": {
   "display_name": "Python (py38_ct)",
   "language": "python",
   "name": "py38_ct"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.2"
  },
  "papermill": {
   "duration": 9.625222,
   "end_time": "2020-11-16T18:41:54.561449",
   "environment_variables": {},
   "exception": null,
   "input_path": "compHPLCModelFirstLook-Regress-Base.ipynb",
   "output_path": "compHPLCModelFirstLook-Regress-2018ES_LF-2015.ipynb",
   "parameters": {
    "Chl_N": 1.8,
    "end_date": [
     2015,
     6,
     30
    ],
    "fname": "compHPLCModelFirstLook-Regress-2018ES_LF-2015.ipynb",
    "modSourceDir": "/data/eolson/results/MEOPAR/SS36runs/GrahamRuns/2018ES_LF/",
    "mod_ver": "2018ES_LF",
    "start_date": [
     2015,
     1,
     1
    ]
   },
   "start_time": "2020-11-16T18:41:44.936227",
   "version": "2.0.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}