From 4544783aef0b4879c5bd947a3ffb39802935cd74 Mon Sep 17 00:00:00 2001
From: Brody <wacker.brody@gmail.com>
Date: Wed, 19 Feb 2020 20:58:14 -0500
Subject: [PATCH] creating portfolio csv file

---
 .ipynb_checkpoints/portfolio-checkpoint.csv   |  11 ++
 .../selection_criteria-checkpoint.ipynb       | 102 +++++++++---------
 portfolio.csv                                 |  11 ++
 selection_criteria.ipynb                      | 102 +++++++++---------
 4 files changed, 130 insertions(+), 96 deletions(-)
 create mode 100644 .ipynb_checkpoints/portfolio-checkpoint.csv
 create mode 100644 portfolio.csv

diff --git a/.ipynb_checkpoints/portfolio-checkpoint.csv b/.ipynb_checkpoints/portfolio-checkpoint.csv
new file mode 100644
index 0000000..c5b695a
--- /dev/null
+++ b/.ipynb_checkpoints/portfolio-checkpoint.csv
@@ -0,0 +1,11 @@
+ticker,name,sector,sharpe ratio,FFM returns,P/E ratio,EPS,beta,mkt cap,shares
+GPC,Genuine Parts,Consumer Discretionary,2.9244641954801547,0.074228025,17.71,5.45,0.89,14016415887,145293000
+GIS,General Mills,Consumer Staples,2.6412807761987938,0.063146888,15.34,3.48,0.73,32242795100,604817000
+COG,Cabot Oil & Gas,Energy,1.9529827367707384,-0.050016632000000005,7.8,1.9,0.47,6037284157,407925000
+SYF,Synchrony Financial,Financials,2.4933359586834767,0.091836098,6.07,5.56,1.21,20704848750,613477000
+AMGN,Amgen Inc,Health Care,1.8616491950461436,0.151748658,17.36,12.88,1.12,131810065840,589807000
+LUV,Southwest Airlines,Industrials,1.7265757683369565,0.10783286199999999,13.77,4.21,1.47,29987649751,517296000
+GOOGL,Alphabet Inc Class A,Information Technology,1.1980263475215909,0.214639843,30.89,49.16,1.02,1044236513876,299895000
+LYB,LyondellBasell,Materials,2.072392824468477,0.103512466,8.65,9.55,1.45,27505799491,333000000
+HST,Host Hotels & Resorts,Real Estate,2.308137021714921,0.052833242,10.89,1.55,1.17,12127479870,717178000
+PPL,PPL Corp.,Utilities,2.7554877393877537,0.098239274,14.38,2.46,0.51,25573676437,723033000
diff --git a/.ipynb_checkpoints/selection_criteria-checkpoint.ipynb b/.ipynb_checkpoints/selection_criteria-checkpoint.ipynb
index 2b53187..c335771 100644
--- a/.ipynb_checkpoints/selection_criteria-checkpoint.ipynb
+++ b/.ipynb_checkpoints/selection_criteria-checkpoint.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -15,7 +15,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -127,7 +127,7 @@
        "[505 rows x 2 columns]"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -141,7 +141,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -240,7 +240,7 @@
        "[100 rows x 1 columns]"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -254,7 +254,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -353,7 +353,7 @@
        "[100 rows x 1 columns]"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -367,7 +367,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -518,7 +518,7 @@
        "[100 rows x 5 columns]"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -532,7 +532,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -760,7 +760,7 @@
        "[92 rows x 10 columns]"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -776,7 +776,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 112,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -785,7 +785,7 @@
        "Text(0, 0.5, 'Sharpe Ratio')"
       ]
      },
-     "execution_count": 112,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -816,7 +816,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 113,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -825,7 +825,7 @@
        "(0, 100)"
       ]
      },
-     "execution_count": 113,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -857,7 +857,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -866,7 +866,7 @@
        "Text(0, 0.5, 'FFM Returns')"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -893,7 +893,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -906,7 +906,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -1005,7 +1005,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -1326,7 +1326,7 @@
        "15   258777000  "
       ]
      },
-     "execution_count": 17,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1339,7 +1339,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -1506,7 +1506,7 @@
        "27     0.192130      37.75  8.43  0.90  140615987901   441758000  "
       ]
      },
-     "execution_count": 18,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1519,7 +1519,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -1626,7 +1626,7 @@
        "69  3.01  1.11  31799253894   413085000  "
       ]
      },
-     "execution_count": 19,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1639,7 +1639,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -1851,7 +1851,7 @@
        "62     0.234858      37.43   7.42  1.21   52148688479  187700000  "
       ]
      },
-     "execution_count": 20,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1864,7 +1864,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -2106,7 +2106,7 @@
        "77      56.31   3.14  0.48   25539363082   144617000  "
       ]
      },
-     "execution_count": 21,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2119,7 +2119,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -2271,7 +2271,7 @@
        "25     0.285973      35.38   8.51  0.99  31216601386  103751000  "
       ]
      },
-     "execution_count": 22,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2284,7 +2284,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -2556,7 +2556,7 @@
        "1      0.329761      63.17   6.01  1.09   185174936969   487726000  "
       ]
      },
-     "execution_count": 23,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2569,7 +2569,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -2706,7 +2706,7 @@
        "39      27.41  3.85  1.54  13670494208   129615000  "
       ]
      },
-     "execution_count": 24,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2719,7 +2719,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -2826,7 +2826,7 @@
        "28     0.163975      83.64  1.98  0.30  69005081855  415768000  "
       ]
      },
-     "execution_count": 25,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2839,7 +2839,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
@@ -2991,7 +2991,7 @@
        "67      10.31  3.89  0.71   10078855985  251594000  "
       ]
      },
-     "execution_count": 26,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3004,7 +3004,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -3201,7 +3201,7 @@
        "9     0.098239      14.38   2.46  0.51    25573676437  723033000  "
       ]
      },
-     "execution_count": 27,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3217,7 +3217,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 111,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -3226,13 +3226,13 @@
        "Text(0, 0.5, 'Sharpe Ratio')"
       ]
      },
-     "execution_count": 111,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 1800x720 with 1 Axes>"
       ]
@@ -3257,7 +3257,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 108,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -3266,7 +3266,7 @@
        "Text(0, 0.5, 'P/E Ratio')"
       ]
      },
-     "execution_count": 108,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -3297,10 +3297,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "# printing the dataset to csv \n",
+    "output = 'portfolio.csv'\n",
+    "\n",
+    "with open(output, 'w') as file:\n",
+    "    file.write(portfolio_df.to_csv(index=False))"
+   ]
   }
  ],
  "metadata": {
diff --git a/portfolio.csv b/portfolio.csv
new file mode 100644
index 0000000..c5b695a
--- /dev/null
+++ b/portfolio.csv
@@ -0,0 +1,11 @@
+ticker,name,sector,sharpe ratio,FFM returns,P/E ratio,EPS,beta,mkt cap,shares
+GPC,Genuine Parts,Consumer Discretionary,2.9244641954801547,0.074228025,17.71,5.45,0.89,14016415887,145293000
+GIS,General Mills,Consumer Staples,2.6412807761987938,0.063146888,15.34,3.48,0.73,32242795100,604817000
+COG,Cabot Oil & Gas,Energy,1.9529827367707384,-0.050016632000000005,7.8,1.9,0.47,6037284157,407925000
+SYF,Synchrony Financial,Financials,2.4933359586834767,0.091836098,6.07,5.56,1.21,20704848750,613477000
+AMGN,Amgen Inc,Health Care,1.8616491950461436,0.151748658,17.36,12.88,1.12,131810065840,589807000
+LUV,Southwest Airlines,Industrials,1.7265757683369565,0.10783286199999999,13.77,4.21,1.47,29987649751,517296000
+GOOGL,Alphabet Inc Class A,Information Technology,1.1980263475215909,0.214639843,30.89,49.16,1.02,1044236513876,299895000
+LYB,LyondellBasell,Materials,2.072392824468477,0.103512466,8.65,9.55,1.45,27505799491,333000000
+HST,Host Hotels & Resorts,Real Estate,2.308137021714921,0.052833242,10.89,1.55,1.17,12127479870,717178000
+PPL,PPL Corp.,Utilities,2.7554877393877537,0.098239274,14.38,2.46,0.51,25573676437,723033000
diff --git a/selection_criteria.ipynb b/selection_criteria.ipynb
index 2b53187..c335771 100644
--- a/selection_criteria.ipynb
+++ b/selection_criteria.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -15,7 +15,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -127,7 +127,7 @@
        "[505 rows x 2 columns]"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -141,7 +141,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -240,7 +240,7 @@
        "[100 rows x 1 columns]"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -254,7 +254,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -353,7 +353,7 @@
        "[100 rows x 1 columns]"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -367,7 +367,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -518,7 +518,7 @@
        "[100 rows x 5 columns]"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -532,7 +532,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -760,7 +760,7 @@
        "[92 rows x 10 columns]"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -776,7 +776,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 112,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -785,7 +785,7 @@
        "Text(0, 0.5, 'Sharpe Ratio')"
       ]
      },
-     "execution_count": 112,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -816,7 +816,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 113,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -825,7 +825,7 @@
        "(0, 100)"
       ]
      },
-     "execution_count": 113,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -857,7 +857,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -866,7 +866,7 @@
        "Text(0, 0.5, 'FFM Returns')"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -893,7 +893,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -906,7 +906,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -1005,7 +1005,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -1326,7 +1326,7 @@
        "15   258777000  "
       ]
      },
-     "execution_count": 17,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1339,7 +1339,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -1506,7 +1506,7 @@
        "27     0.192130      37.75  8.43  0.90  140615987901   441758000  "
       ]
      },
-     "execution_count": 18,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1519,7 +1519,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -1626,7 +1626,7 @@
        "69  3.01  1.11  31799253894   413085000  "
       ]
      },
-     "execution_count": 19,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1639,7 +1639,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -1851,7 +1851,7 @@
        "62     0.234858      37.43   7.42  1.21   52148688479  187700000  "
       ]
      },
-     "execution_count": 20,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1864,7 +1864,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -2106,7 +2106,7 @@
        "77      56.31   3.14  0.48   25539363082   144617000  "
       ]
      },
-     "execution_count": 21,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2119,7 +2119,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -2271,7 +2271,7 @@
        "25     0.285973      35.38   8.51  0.99  31216601386  103751000  "
       ]
      },
-     "execution_count": 22,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2284,7 +2284,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -2556,7 +2556,7 @@
        "1      0.329761      63.17   6.01  1.09   185174936969   487726000  "
       ]
      },
-     "execution_count": 23,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2569,7 +2569,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -2706,7 +2706,7 @@
        "39      27.41  3.85  1.54  13670494208   129615000  "
       ]
      },
-     "execution_count": 24,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2719,7 +2719,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -2826,7 +2826,7 @@
        "28     0.163975      83.64  1.98  0.30  69005081855  415768000  "
       ]
      },
-     "execution_count": 25,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2839,7 +2839,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
@@ -2991,7 +2991,7 @@
        "67      10.31  3.89  0.71   10078855985  251594000  "
       ]
      },
-     "execution_count": 26,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3004,7 +3004,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -3201,7 +3201,7 @@
        "9     0.098239      14.38   2.46  0.51    25573676437  723033000  "
       ]
      },
-     "execution_count": 27,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3217,7 +3217,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 111,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -3226,13 +3226,13 @@
        "Text(0, 0.5, 'Sharpe Ratio')"
       ]
      },
-     "execution_count": 111,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
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\n",
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p9pTSmSmlLcjeg48Lm/cim3ZFkiQp1wyvJUnSeiWlNBWoKDzdKyI2bGSXo4oej2mBEopHha7KtCf1WV5bG+CwRtoOJBupWrxfSyru88iGGkZEUDNYfHk11FPb4qLHLT3qvNgmRY/rnVc7IjqwYpqK1aWxa6J4e+1z8HTR48EtU06LupYVn6urIqJtiTZNPRe9yebTbkiLfYbX5PdRSunvwP9XtGrgyuwvSZLUGgyvJUnS+ujBwn/bARfU1ygiNmDFfMhVZDd7a67isLSpU3w0xQNFj3/YSNtL69mvpTxLNqcwwLERsUMDbYewYhT46EZGJ5cUEd3rCSzrc2zR47dW9ngroXh077YNtPsu0Fho2VzfLcz7XEfhB4QLi1Y9WKvJI8DnhcdnR8SOq6G+VZZSeh/4U+Hp1sDZJZo19VwMo/F5rlv6M7wmv48+KnrsFJKSJCn3DK8lSdL66GayG7QBXBYRX63dICI6AvcCmxZW/SGl9GELHHtS0eO9WqC/5f4MvFN4fFBE3FAIJWuIiCuArxSeTgb+rwVrALIbxwG/LDxtC/wpIjap3S4i9gT+t2jVDat4yIHAxIi4ICJ6NdQwIk6kZnj/u1U8ZlMUj2C+slR4XLj2frwaa1hue+C2iKgRWBaukRuAfQurXgX+UdymcGO/5XOEtwceK5y7ekXEvoUbKq4p1xU9Hlbix4zic3FtRNT5/6CI+A7ZDwmNaenPcIt8H0XELyJi39r71nJe0ePXVrFeSZKkNcZf2yVJ0nonpfRBRFwM3EIWro6MiJHAY8BcsqDvG0Dfwi7/IrvJWUsce0ZETAB2BY6MiFuBp1gxmrMqpfS3Veh3WUScDjxHdlO2S4DDIuJesjmLNwFOBgYUdlkMfL0QNK8ONwJHA/sDuwBvRcRdwHiyv0EPJJufeHmg+78ppcebcbytyALzn0bEc2Q38fsAmE32fmwL/AewT9E+TwHDm3HMxvwJuB7oTfY+LH8PJgE9gEGFZT7wV1bflBzLyK7ts4C9I2IE2TW9KXAqK4LrSuCbKaVUu4OU0i8joj9wGtAHeCUiHiN7D6eQTZ+xEdl1fQTZZ+ddYOhqek216xsfEY8DXyYbff0N4LaiJneR/WjRCTixUP/vyabs2BQ4geyanAq8TcM38nwNmAn0BM6KiJlkU3gsvyHmgpTSsytRe0t9Hw0BLoyID4EngdfJ/gVEe7LPxxBg90LbGcCdTa1RkiSptRheS5Kk9VJK6VeFgck/Iwt3BlM6PHwdODal9FkLHv6/yP7JfxnZSMji0ZDLWMW/0VJKYyPiSOCPZIFc/8JS22fAKSsTsK1CLUsj4t/JRnb/B9m0GKWmM0nATcBFzTjcdOATstdcDhxSWOotD/gtcH5KqaqBds2SUvqiMNL7UaA7WYD+/2o1mwWcQhacrs75pM8km/5jf+CnJbbPBU5KKb3aQB9fB94HLiP7zCwP3+tT0cC21eE6svAastHXv00pLQZIKU2JiK+TjV5uD+xZWIr9i+wcfL+hg6SUFkfEj4BfkYXNtQP6D2jkBpkl+myJ76Pl1/I2wLcbONwkYHBKaUYDbSRJknLBaUMkSdJ6K6X0K6Af8BOy0ZSzyUYkTyULHM8C9kopTW7h4/6FbKqL+8iCpMqG91ipvp8jG6l5MfAM2QjLJWSB9Qtkc/pul1J6sqWO2UAt81JKg8jC6/vIpimpJBtp/B7ZyNi9U0rfb06InFJ6GdicbFT5f5FNofIuWSC7jGy+4ynA34FrgJ1TSt9MKS0s3WPLSSm9QDba9VbgQ7LrazYwgSxs3S2l9MQaqONzsptCng+8SDZyeBEwkezHg50bG/meMleThaNXks1tPp3s+lpIFv6OInuP900pHVFfX6tDSukZ4PnC062oNfd1SulBYG9g+cjzJWTvw1jgcmCPlNLYJh7rVrLr+mGykL7Z/4KhBb6PdgeOJxvBPYbsM7+0UFsF2ej+b5Oda6cMkSRJa4Uo8a8CJUmSJK3lCtOnHAAsSyn5Ly4lSZK01nHktSRJkiRJkiQpdwyvJUmSJEmSJEm5Y3gtSZIkSZIkScodw2tJkiRJkiRJUu4YXkuSJEmSJEmScidSSq1dgyRJkiRJkiRJNTjyWpIkSZIkSZKUO4bXkiRJkiRJkqTcMbyWJEmSJEmSJOWO4bUkSZIkSZIkKXcMryVJkiRJkiRJuWN4LUmSJEmSJEnKHcNrSZIkSZIkSVLuGF5LkiRJkiRJknLH8FqSJEmSJEmSlDuG15IkSZIkSZKk3DG8liRJkiRJkiTljuG1JEmSJEmSJCl3DK8lSZIkSZIkSbljeC1JkiRJkiRJyh3Da0mSJEmSJElS7hheS5IkSZIkSZJyx/BakiRJkiRJkpQ7hteSJEmSJEmSpNwxvJYkSZIkSZIk5Y7htSRJkiRJkiQpdwyvJUmSJEmSJEm5Y3gtSZIkSZIkScodw2tJkiRJkiRJUu4YXkuSJEmSJEmScsfwWpIkSZIkSZKUO4bXkiRJkiRJkqTcMbyWJEmSJEmSJOWO4bUkSZIkSZIkKXcMryVJkiRJkiRJuWN4LUmSJEmSJEnKHcNrSZIkSZIkSVLuGF5LkiRJkiRJknLH8FqSJEmSJEmSlDuG15IkSZIkSZKk3DG8liRJkiRJkiTljuG1JEmSJEmSJCl3DK8lSZIkSZIkSbljeC1JkiRJkiRJyh3Da0mSJEmSJElS7hheS5IkSZIkSZJyx/BakiRJkiRJkpQ7hteSJEmSJEmSpNwpb+0CVodevXqlPn36tHYZkiRJkiRJkqQGjB079rOU0kaltq2T4XWfPn145ZVXWrsMSZIkSZIkSVIDImJyfducNkSSJEmSJEmSlDuG15IkSZIkSZKk3DG8liRJkiRJkiTlzjo557UkSZIkSZIk1bZkyRIqKiqorKxs7VLWOx06dGCLLbagbdu2Td7H8FqSJEmSJEnSeqGiooKuXbvSp08fIqK1y1lvpJSYOXMmFRUV9O3bt8n7OW2IJEmSJEmSpPVCZWUlPXv2NLhewyKCnj17rvSId8NrSZIkSZIkSesNg+vWsSrve6uG1xHRISLGRMRrEfFmRFxdok37iLg/IiZGxEsR0WfNVypJkiRJkiRJq0efPn347LPPWruMRo0ePZoXXnih+vmvf/1r7r777tV2vNae83oRcFhKaX5EtAWei4jHUkr/LGrzTWBWSmm7iDgZuAE4qTWKlSRJkiRJkrTu6DP00Rbt76PrB7Vof02xdOlSystbLuZtqL/Ro0fTpUsXBgwYAMC5557bYsctpVVHXqfM/MLTtoUl1Wp2HDCi8PhPwOHh2H5JkiRJkiRJa5kFCxYwaNAgdt99d3bZZRfuv//+6m3/8z//w1577cWuu+7KO++8A8CYMWMYMGAAe+65JwMGDODdd98FYPjw4QwZMoRjjjmGo446itGjR3PQQQcxePBgdt55Z84991yqqqoA+Nvf/sb+++/PXnvtxZAhQ5g/f36dug455BCGDRvGwQcfzE033cRf/vIX9t13X/bcc0+OOOIIpk+fzkcffcSvf/1rfvGLX7DHHnvw7LPPctVVV/HTn/4UgPHjx7Pffvux2267MXjwYGbNmtXs96vV57yOiDYRMR74FBiVUnqpVpPNgX8BpJSWAnOAniX6+XZEvBIRr8yYMWN1ly1JkiRJkiRJK+Xxxx9ns80247XXXuONN97gy1/+cvW2Xr16MW7cOM4777zqQHjHHXfkmWee4dVXX+Waa65h2LBh1e1ffPFFRowYwVNPPQVkQffPfvYzJkyYwAcffMCDDz7IZ599xrXXXsuTTz7JuHHj6N+/Pz//+c9L1jZ79myefvppLrroIgYOHMg///lPXn31VU4++WRuvPFG+vTpw7nnnsv3v/99xo8fz4EHHlhj/zPOOIMbbriB119/nV133ZWrr64zQ/RKa+1pQ0gpLQP2iIjuwMiI2CWl9EZRk1KjrGuPzialdDtwO0D//v3rbJckSZIkSZKk1rTrrrty8cUXc+mll3L00UfXCICPP/54APbee28efPBBAObMmcOZZ57J+++/T0SwZMmS6vZHHnkkG264YfXzffbZh2222QaAU045heeee44OHTrw1ltvccABBwCwePFi9t9//5K1nXTSipmaKyoqOOmkk5g2bRqLFy+mb9++Db6uOXPmMHv2bA4++GAAzjzzTIYMGdLk96U+rT7yermU0mxgNPDlWpsqgC0BIqIc6AZ8vkaLkyRJkiRJkqRm6tevH2PHjmXXXXflsssu45prrqne1r59ewDatGnD0qVLAbjiiis49NBDeeONN/jLX/5CZWVldfvOnTvX6Lv2TMsRQUqJI488kvHjxzN+/Hjeeust7rrrrpK1Fff3ve99j/PPP58JEyZw22231TjumtSq4XVEbFQYcU1EdASOAN6p1ezPwJmFxycCT6WUHFktSZIkSZIkaa0ydepUOnXqxOmnn87FF1/MuHHjGmw/Z84cNt98cyCb57ohY8aMYdKkSVRVVXH//fczcOBA9ttvP55//nkmTpwIwBdffMF7773XaJ3Fxx0xYkT1+q5duzJv3rw67bt160aPHj149tlnAfjd735XPQq7OVp75HVv4B8R8TrwMtmc149ExDURcWyhzV1Az4iYCPwAGNpKtUqSJEmSJEnSKpswYQL77LMPe+yxBz/+8Y+5/PLLG2x/ySWXcNlll3HAAQewbNmyBtvuv//+DB06lF122YW+ffsyePBgNtpoI4YPH84pp5zCbrvtxn777Vd9M8iGXHXVVQwZMoQDDzyQXr16Va8/5phjGDlyZPUNG4uNGDGCH/7wh+y2226MHz+eH/3oR40epzGxLg5i7t+/f3rllVdauwxJkiRJkiRJOfL222+z0047tXYZLW706NH89Kc/5ZFHHmntUhpU6v2PiLEppf6l2rf2yGtJkiRJkiRJkuoob+0CJEmSJEmSJEmr7pBDDuGQQw5p7TJanCOvJUmSJEmSJEm5Y3gtSZIkSZIkab2xLt4DcG2wKu+74bUkSZIkSZKk9UKHDh2YOXOmAfYallJi5syZdOjQYaX2c85rSZIkSZIkSeuFLbbYgoqKCmbMmNHapax3OnTowBZbbLFS+xheS5IkSZIkSVovtG3blr59+7Z2GWoipw2RJEmSJEmSJOWOI69Xsz5DH23tEnLpo+sHtXYJkiRJkiRJknLMkdeSJEmSJEmSpNwxvJYkSZIkSZIk5Y7htSRJkiRJkiQpdwyvJUmSJEmSJEm5Y3gtSZIkSZIkScodw2tJkiRJkiRJUu4YXkuSJEmSJEmScsfwWpIkSZIkSZKUO4bXkiRJkiRJkqTcMbyWJEmSJEmSJOWO4bUkSZIkSZIkKXcMryVJkiRJkiRJuWN4LUmSJEmSJEnKHcNrSZIkSZIkSVLuGF5LkiRJkiRJknLH8FqSJEmSJEmSlDuG15IkSZIkSZKk3DG8liRJkiRJkiTljuG1JEmSJEmSJCl3DK8lSZIkSZIkSbljeC1JkiRJkiRJyh3Da0mSJEmSJElS7hheS5IkSZIkSZJyx/BakiRJkiRJkpQ7hteSJEmSJEmSpNwxvJYkSZIkSZIk5Y7htSRJkiRJkiQpdwyvJUmSJEmSJEm5U97aBUiSJEmSJEnS6tJn6KOtXULufHT9oNYuoUkceS1JkiRJkiRJyh3Da0mSJEmSJElS7hheS5IkSZIkSZJyx/BakiRJkiRJkpQ7hteSJEmSJEmSpNwxvJYkSZIkSZIk5Y7htSRJkiRJkiQpdwyvJUmSJEmSJEm5Y3gtSZIkSZIkScodw2tJkiRJkiRJUu4YXkuSJEmSJEmScsfwWpIkSZIkSZKUO4bXkiRJkiRJkqTcMbyWJEmSJEmSJOWO4bUkSZIkSZIkKXcMryVJkiRJkiRJuWN4LUmSJEmSJEnKHcNrSZIkSZIkSVLuGF5LkiRJkiRJknLH8FqSJEmSJEmSlDvlrV2ApBX6DH20tUvInY+uH9TaJUiSJEmSJKkVOPJakiRJkiRJkpQ7hteSJEmSJEmSpNwxvJYkSZIkSZIk5Y7htSRJkiRJkiQpdwyvJUmSJEmSJEm5Y3gtSZIkSZIkScodw2tJkiRJkiRJUu4YXkuSJEmSJEmScojv4V0AACAASURBVMfwWpIkSZIkSZKUO4bXkiRJkiRJkqTcMbyWJEmSJEmSJOWO4bUkSZIkSZIkKXcMryVJkiRJkiRJuWN4LUmSJEmSJEnKHcNrSZIkSZIkSVLuGF5LkiRJkiRJknLH8FqSJEmSJEmSlDuG15IkSZIkSZKk3DG8liRJkiRJkiTljuG1JEmSJEmSJCl3WjW8jogtI+IfEfF2RLwZEReUaHNIRMyJiPGF5UetUaskSZIkSZIkac0pb+XjLwUuSimNi4iuwNiIGJVSeqtWu2dTSke3Qn2SJEmSJEmSpFbQqiOvU0rTUkrjCo/nAW8Dm7dmTZIkSZIkSZKk1pebOa8jog+wJ/BSic37R8RrEfFYRHxpjRYmSZIkSZIkSVrjWnvaEAAiogvwAHBhSmlurc3jgK1TSvMj4j+Ah4DtS/TxbeDbAFtttdVqrliSJEmSJEmStDq1engdEW3Jguvfp5QerL29OMxOKf01Im6NiF4ppc9qtbsduB2gf//+aTWXLUnSWqPP0Edbu4Tc+ej6Qa1dgiRJkiSpEa06bUhEBHAX8HZK6ef1tNm00I6I2Ies5plrrkpJkiRJkiRJ0prW2iOvDwC+DkyIiPGFdcOArQBSSr8GTgTOi4ilwELg5JSSI6slSZIkSZIkaR3WquF1Suk5IBppcwtwy5qpSJIkSZIkSZKUB606bYgkSZIkSZIkSaUYXkuSJEmSJEmScsfwWpIkSZIkSZKUO4bXkiRJkiRJkqTcMbyWJEmSJEmSJOWO4bUkSZIkSZIkKXcMryVJkiRJkiRJuWN4LUmSJEmSJEnKHcNrSZIkSZIkSVLuGF5LkiRJkiRJknLH8FqSJEmSJEmSlDuG15IkSZIkSZKk3DG8liRJkiRJkiTljuG1JEmSJEmSJCl3DK8lSZIkSZIkSbljeC1JkiRJkiRJyh3Da0mSJEmSJElS7hheS5IkSZIkSZJyx/BakiRJkiRJkpQ7hteSJEmSJEmSpNwxvJYkSZIkSZIk5Y7htSRJkiRJkiQpdwyvJUmSJEmSJEm5Y3gtSZIkSZIkScodw2tJkiRJkiRJUu4YXkuSJEmSJEmScsfwWpIkSZIkSZKUO4bXkiRJkiRJkqTcMbyWJEmSJEmSJOVOeWsXIEmSJEmSJK2MPkMfbe0Scumj6we1dglSi3LktSRJkiRJkiQpdwyvJUmSJEmSJEm5Y3gtSZIkSZIkScodw2tJkiRJkiRJUu4YXkuSJEmSJEmScsfwWpIkSZIkSZKUO4bXkiRJkiRJkqTcMbyWJEmSJEmSJOWO4bUkSZIkSZIkKXcMryVJkiRJkiRJuWN4LUmSJEmSJEnKHcNrSZIkSZIkSVLuGF5LkiRJkiRJknLH8FqSJEmSJEmSlDuG15IkSZIkSZKk3DG8liRJkiRJkiTljuG1JEmSJEmSJCl3DK8lSZIkSZIkSbljeC1JkiRJkiRJyh3Da0mSJEmSJElS7hheS5IkSZIkSZJyx/BaTVLxv9+g4n+/scaPe9ZZZxERfPTRR2vsmMOHDyciGD58+Bo7ZnN8cu9QJt9wdGuXIVrnepUkSZIkSVpXGV6vhybfcPQ6G3YuDw8jgiuvvLLediNGjKhud8ghh6y5Aptg6byZfP73O5h653l8/LMT+Phnx1Nx69l8cu9QZj1zN0tmTWvtEnOn+LwvXzp16sTOO+/MRRddxIwZM1rkOFdddRURwejRo1ukP0mSJEmSJNWvvLULkFaH8vJyfvOb3/CjH/2INm3a1Nl+xx13UF5eztKlS+tsGzx4MPvttx+9e/deE6XWsHjGR0y/9zKqKufRdqM+dN7lMMrad2bp3Bks+Wwyc1/8A+XdNqFtjzVf29rguOOOY4899gBg+vTp/PWvf+XnP/85DzzwAGPHjqVnz56r9fjXXXcdQ4cOZfPNN1+tx5EkSZIkSVofGF5rnXT00Ufz0EMP8fjjjzNo0KAa295++22ef/55Bg8ezMiRI+vs261bN7p167amSq1h1t/voKpyHt0OOJXuA0+ts33J7E9g2ZJWqGzt8NWvfpWzzjqr+nllZSX77bcfr732GrfcckuDo/FbQu/evVvlRw9JkiRJkqR1keG1qqWUmDfuEea/+hhLZk+jTceudOq3P90POqPB/Ra89TTzXnucJdM/pGrpYsq7bULnLx1Ct31OIMrb1mj7xXsv8sW7z9Pvwe8zZcoUIoIddtiBM888k/PPP5+yspaZyea0007jiSee4I477qgTXt9xxx0AfOtb3yoZXg8fPpyzzz6b3/72tzWC0D59+gDw1ltvceWVV3L//fczffp0ttxyS8455xwuueQSIqJZdS+a8g4AG/Q/tuT2tt03rXffVLWMuS89wPwJo1g6dwZtOnWn884H0/3A04k2pc/DomnvsWz+TCBou+HmdN7lcLrufTQRNc/DZ4/+ggVv/J3N/vNOFn7wMvNfe4Kls6bSrnc/Nj31eio/fp3p9w2j2wGn0LHvXsx+9h4WTXsfSLTfbEe6H3QG7XtvX7Lm+eMfZ/4bT7Fk5sdQVUX5hpvTZbcj6brXoDp1rKwOHTpw2mmn8dprr/Hyyy/X2f6Pf/yD++67j+eee46KigqWLFnCtttuy5AhQ7j00kvp0KFDdds+ffowefJkAA499NCaryMlIJu+ZMSIEUyaNKn6elnuD3/4A7fccguvvfYaixcvZrvttuPUU0/lBz/4Ae3bt2/W65QkSZIkSVoXGV6r2qy/3868sX+hTZcN6brHl6GsDQvff4lFU9+DqqVQVvdy+eyvN7FgwijadO1Fx34DKOvQmcVT32XOs/dQOfk1NjnpWqJsxbQds57O5pre9ysHs/nmmzNnzhyeeuopLrjgAl5++WV+97vftchr6d69O0OGDOHee+9l2rRp1aNhFy1axN13383BBx9Mv379VrrfJUuWcNRRRzF16lS+8pWvUF5ezkMPPcTQoUOprKxs9sjeso5dWTZvEUs+n0L7zXZYqX0/+/NPWFTxJh222ZuO7Tqx8MNXmPvSAyxbMIdegy6s0Xb5eWi/2Q606dKTqkULqPz4dWb9/XYWf/I+vY6+qOQxZj15G5UVb9Fx2/503KY/1PqxYdHU95jzzz/Sces96LrXIJbOmsYX773A9HsvZeOvXUOHLXepbpuWLeXTB66hctI4yjfcgs47H0y0aZfV8eRtLJ72Xr11rIzlwXLbtm3rbLvhhht45513GDBgAIMGDaKyspLnn3+eq666itGjR/Pkk09WTztz4YUX8tBDD/H0009z5pln1gmnGzJs2DCuu+46evXqxamnnkqXLl147LHHGDZsGE888QSjRo0qWZ8kSZIkSdL6zPBaAFRWvM28sX+hvHtvNj3j57Tp2BWAdNAZfHLfZSyb/zltNti4xj7zJzzJggmj6Nhvf3odfTFlbVeMHp393O+Z8/x9zBv3CBv0P656/cYnXknbHr353fUrRkNXVVVx9tlnc/fdd3P++eez7777tshrOuecc7j77rsZPnw4l112GQAjR45k5syZnHPOOavU59SpU9l9990ZNWoUHTt2BODKK6+kX79+/OIXv2DYsGHNCiE773ggc18eyacP/jdd9/gPOmy9G+023oay9p0a3Xfp7Gn0/uat1eeuavEZTPvt91jw5lP0OPhM2nTpUd12+XkollIVM//6Sxa88RRd9zq6ZHi+ePoH9D7rpnpHgFdOGkuPI/6TDfY+pnrdF+//kxkPXsvMx25is3Nuqx5NPefF+6mcNI6uex1Nj8PPqf6RI1UtY+bjt7Bgwig67XAAMKjUoZpk4cKF3HPPPQAMHDiwzvZbb72Vvn371hkxf8UVV3Dttdfypz/9iZNOOgnIwuvZs2fz9NNPc9ZZZzX5Rp8vvvgi1113HVtuuSVjxoxh002z9+66665j8ODBPPLII/zkJz9h2LBhq/w6JUmSJEmS1kUtM0eD1noLJowCoNv+X6sOPwGivB09Dj6z5D5zX/kzlLWh11cuqBFcA3QbcDJlHTdgwVuja6wvdaPBsrIyLrjgAgCeeOKJ5ryMGgYOHMhOO+3EnXfeWT369o477qBHjx6ccMIJq9zvzTffXB1cA2y88cYcd9xxzJkzh3fffbdZNXc/6Ay67P7vVC2cx5zn72X6vUP51y9PYsod5/L5k7dnc17Xt+8hZ9c4d2XtOtB550MgVbHok/drtC11HiLK6Lp3Nl3JwknjSh5jg31PaHDqkvIevem6V82wudP2+9F+y11YOmsai/71JpAF5fPGPUqbzj1qBNcAUdaGDQ/7JhAseHN0vccq5aGHHuKqq67iqquu4jvf+Q477LADEyZM4KCDDuK8886r036bbbYpOdXLhRdmI9Vb4nr8zW9+A8Dll19eHVxDdlPRn/3sZ5SVlXHnnXc2+ziSJEmSJEnrGkdeC8hG1AK032rXOtvab/ElKAoXAaqWVLLk00mUddqAua88XLLPaFPOkpkVNdYtWziXuS89yG67XcaHH37IggULamyfMmVKc15GHd/61re46KKLeOqpp9h66635xz/+wfe+970acxmvjG7durHddtvVWb/lllsCMGvWrGbVG+Vt6fnl79H9wNNZ+OE4Fk17l8WffMDiT95n3ucVzH/tCXoddymdttunzr7tN61bV5sNegFQVTm/xvrl52Hhh6+wdPYnpCWVNbfPm1myvva9G55qpf0WXyo5T3WHrXZl0b/eYPH0D+mw1a4s/XwKVQvnUt5jM+a88H8l+4q27Vgy818NHq+2hx9+mIcfrnk9HnnkkTz66KMlR8QvWLCAm266iZEjR/Lee+8xb9686h86oGWux3Hjsh8CDjvssDrb+vXrxxZbbMGkSZOYPXs23bt3b/bxJEmSJEmS1hWG1wKgatEXALTpVDc8i7I2lBWN6IXlYWii6os5zHn+vqYdo3I+n4z4PkvnTKfjPvtwxhlnsOGGG1JeXs7s2bO56aabWLRoUbNfS7EzzjiDYcOGceedd7L11luTUlrlKUOAesPF8vLso7Rs2bJV7rtYm8496LLr4XTZ9fCs34XzmD36t8x//W/MfOwmOn5neJ2bMJZ16FKnn+oRzamqel3xeWjXux+ddzmMsg5dibIyqioXMG/sn0nLlpSsq6xzj5LrV9Rd+v1pU9ivatGC6tcDsHTW1Aavn6paoXpjlt9kc9myZXz44YdcccUV3H///Zx33nl1RjcvWbKEww47jDFjxrDLLrtw0kknsdFGG1WH3FdffXWLXI9z5swBqJ53vbbevXvz8ccfM2fOHMNrSZIkSZKkIobXAqieU3nZF7Mpa1dzWohUtYyqhfNo06VnUfvOALTbZFt6n3VTk44x77W/sXTOdLodcAovPXdvjW0vvvgiN93UtH5WRq9evRg8eDAjR45kgw02YP/992eXXXZpfMecadOxKxt++XwWfvQqy+bOYPGMySVHWjdF8XnoPvC0GtsWTXmbeWP/XO++pabYKLZswex61mcj0pdfN8uvt4799mfjwf/V5Nqbqk2bNmy//fbce++9fPTRR9x1110ce+yxHHvssdVtHn74YcaMGcOZZ57J8OHDa+w/bdo0rr766happVu3bgB88sknbLvttnW2T5s2rUY7SZIkSZIkZZzzWkAWQgMs+nhCnW2LKt6EqpojisvadaRtr61Y/Nnk6lG0jVk6eypA4SZ8NT399NMrW3KTnXPOOSxatIgZM2Y0a9R1a4soo6ztqk13Uqyh81D5rzea1feiirdIRaO8q/stXFftNtkGgLY9t6SsfWcWT32XtGxps47ZkLKysuofRS655JIaI+MnTpwIUHL+8/quxzZtspHsKzPCfs899wRg9OjRdbZNnDiRiooK+vbt66hrSZIkSZKkWgyvBUDnXY8AYM6Lf6gRRqeli5n19IiS+2zwb1+FZUuZ+dhNdeZUBlhWOZ9Fn0ysfl7ebRNgRZC53Kuvvsp1113X7NdQn0MPPZSHH36YkSNHcvLJJ6+245TywQcf8M4777BkSelpOGqb/dy9LJ0zveS2Be88x5KZFZR16EK7Xluvck31nYfF0z9gzot/XOV+IZsGZN64R2us++L9f7LoX29Q3qM37bf8EpBNZ9J172NYNv9zPn/yNqqW1J2eY+n8z1n82cfNqgdg33335eijj+bdd9/l7rvvrl7fp08foG6o/OGHH3LppZeW7Ktnz+xfH3z8cdPr+sY3vgHAtddey4wZM6rXL1u2jIsvvpiqqiq++c1vNrk/SZIkSZKk9YXThgiADlvsTNe9j2He2L8w7TffzUbllrVh4fsvUdahC226bFhnny67HcWiTz5g/quPMuW2c+jQdy/KN9iIqsp5LJ09ncqKN+iy6xG03/R8ADp/6TDmvvQgs/5+B8cf/ynbb78977//Po888gjHH388999//2p5bRFRY7qINenwww9n8uTJTJo0qTosbcjcVx5mzvP30m6TbWm36XaUdepGWrSAxZ98wKKp70BZGzY86rtEed2bDzZV8Xmo/Ph12vbYjCWzprJw4st06rc/X7zz7Cr33aHv3sz6x11UfjiWthv3ZemsaXzx3gtEeTt6fuWCGjdz7DbgZBZ/Oon54x9j4cQxdNh6N9p07cmyBXNYOmsqi6a8TfeDvg6ct8r1LHfNNdfw6KOPcvXVV3PaaafRrl07jjnmGLbbbjt+/vOfM2HCBPbcc08+/vhjHnnkEQYNGlQyoD700EMpKyvjsssu44033qBHj2wu78svv7zeYw8YMIBLLrmEG2+8kV122YUTTzyRzp0789hjj/HGG28wcOBAfvjDHzb7NUqSJEmSJK1rHHmtaj0O/zY9jvhPol0n5o1/jC/efoYOffdik5OvhbLSv3P0POo8NjrhR7TffEcqJ49n7ssP8cXEl6havIAN9jmBDfofV922vGtPNjntBjpu25/nnnuOW265hcmTJ3Prrbdy/fXXr6mXmWsbn/gjNtj/a0R5exZ+OI65Yx5k/oQnWVY5jy67HUXvs26i804HNusYxedhUcVbzBv3CMvmfMqGR51Hj0POalbf7Tfrx6anXEdatoR54x5h4aSxdNh6dzY59Xo6bFlzrvFoU85Gx19Oz0E/oG3PzVn4wcvMHfMQlZPGQkp0P/B0Ou98SLPqWW7PPfdk8ODBTJ48mdtuuw2Azp0789RTT3Hqqafy5ptvcvPNN/P6669zxRVXcM8995TsZ6eddmLEiBFsuumm3HrrrVxxxRVcccUVjR7/hhtu4L777mP77bfn7rvv5uabb6aqqoprr72WUaNG0a5duxZ5nZIkSZIkSeuSSCm1dg0trn///umVV15p7TIA6DP00cYbrYc+un5Qa5eQS2vr9VL58etMv29YyZtANpfXitR8a+t3y+rkd4skSdLazb9xS/Pv3NK8XurK07USEWNTSv1LbXPktSRJkiRJkiQpdwyvJUmSJEmSJEm5Y3gtSZIkSZIkScqd0nfhk6SV0GGr3dj60kdauwxJkiRJaznnpa0rT/PSStKa5shrSZIkSZIkSVLuGF5LkiRJkiRJknLH8FqSJEmSJEmSlDuG15IkSZIkSZKk3DG8liRJkiRJkiTljuG1JEmSJEmSJCl3DK8lSZIkSZIkSbljeC1JkiRJkiRJyh3Da0mSJEmSJElS7rRqeB0RW0bEPyLi7Yh4MyIuKNEmIuLmiJgYEa9HxF6tUaskSZIkSZIkac0pb+XjLwUuSimNi4iuwNiIGJVSequozVeA7QvLvsD/Fv4rSZIkSZIkSVpHRUqptWuoFhEPA7eklEYVrbsNGJ1Suq/w/F3gkJTStPr66dq3a9r7yr1Xe71N8c8PZ7Z2Cbm03zY9W7uEXPJ6qctrRWo+v1vq8rtFkqR88u+Wuvy7pTSvldK8XkrzeqkrT9fK02c/PTal1L/UttzMeR0RfYA9gZdqbdoc+FfR84rCutr7fzsiXomIV5YsWbK6ypQkSZIkSZIkrQGtPW0IABHRBXgAuDClNLf25hK71BkunlK6HbgdoH///mn0WaNbusxV0mfoo61dQi6NPmtQa5eQS14vdXmtSM3nd0tdfrdIkpRP/t1Sl3+3lOa1UprXS2leL3Xl6VqJs0vFv5lWH3kdEW3Jguvfp5QeLNGkAtiy6PkWwNQ1UZskSZIkSZIkqXX8/+zdebiWVb038O9iBlFABTEScGqwctZM7QR5tDJTyzrZQGmDb6c6Wl2nV+tYDvV2acOpPGo2GZ6ytLRB0wY1HFPLiczKWRRHkElA5vX+sQH3Zm+BDRv2bfvzua7n2vte93ru+/fAYv/x3Yvf3a3hdSmlJPl+kr/XWv/7eaZdkuR9pcU+SWavrt81AAAAAAAvfN3dNmS/JBOS3FlKuWP52GeTjE6SWus5SS5PcnCS+5LMT3J0N9QJAAAAAMBG1K3hda31+nTc07r1nJrkYxunIgAAAAAAmqDbe14DAAAAAMCqhNcAAAAAADSO8BoAAAAAgMbp7gc2ArAOxp5wWXeX0EgPnfbm7i4BAAAA6CJ2XgMAAAAA0DjCawAAAAAAGkd4DQAAAABA4wivAQAAAABoHOE1AAAAAACNI7wGAAAAAKBxhNcAAAAAADSO8BoAAAAAgMYRXgMAAAAA0DjCawAAAAAAGqfPuryplLJ/kt2SDE0yO8lttdbru7IwAAAAAAB6rk6F16WU3ZP8KMlLVwwlqcvP3Z3kfbXWW7q0QgAAAAAAepy1Dq9LKTsk+UOSzZJcv/z7x5NsnWR8ktcmuaKUsnet9d4NUCsAAAAAAD1EZ3Zefy7J4CTvrLX+bJVzJ5dS3p7kgiQnJnl/F9UHAAAAAEAP1JkHNv5rkl92EFwnSWqtFyX51fJ5AAAAAACwzjqz83rLJP9Yw5x/JDlk3csBAKC7jD3hsu4uoZEeOu3N3V0CAAD0SJ3ZeT0tyU5rmPOyJNPXvRwAAAAAAOhceP2HJIeWUo7s6GQp5YgkhyW5sisKAwAAAACg5+pM25BT0xJOn19K+ViSSUkeTzIyybgk+yd5JskXu7hGAAAAAAB6mLUOr2ut95VS/jXJ/ybZb/mrJinLp9yd5P211nu7vEoAAAAAAHqUzuy8Tq31z0leXkrZN8nuSYYkmZ3k9lrrDRugPgAAAAAAeqBOhdcr1Fr/mOSPXVwLAAAAAAAk6dwDGwEAAAAAYKN43p3XpZTPp6Wn9Vm11hnLj9dGrbV+oUuqAwAAAACgR1pd25CT0xJeX5hkxvLjtVGTCK8BAAAAAFhnqwuvxy//+vAqxwAAAAAAsEE9b3hda71mdccAAAAAALChrPUDG0sp7yul7LyGOa8spbxv/csCAAAAAKAnW+vwOsnEJIevYc5hSX6wztUAAAAAAEA6F16vjd5peWAjAAAAAACss64Or1+SZGYXXxMAAAAAgB7meR/YmCSllHNXGTq8lDK2g6m9k4xO8tokl3VJZQAAAAAA9FirDa+THNXq+5pk1+WvjtQkNyf55PqXBQAAAABAT7am8Hrb5V9LkgeSfCPJNzuYtzTJzFrrvC6sDQAAAACAHmq14XWtdcqK70sppySZ1HoMAAAAAAA2hDXtvF6p1nrKhiwEAAAAAABWWOvwurVSSu8kWybp39H5WuvD61MUAAAAAAA9W6fC61LKq5KclmR8nie4TsuDG9cpFAcAAAAAgKQTIXMp5WVJ/rj88Iokb0kyOcmTSXZPy07sSUnsugYAAAAAYL10Zof055L0TbJXrfXOUsqyJL+otZ5aStkkyRlJDk5yVNeXCQAANMnYEy7r7hIa56HT3tzdJQAA/FPp1Ym545L8utZ6Z6uxkiS11nlJ/k+SmUm+0GXVAQAAAADQI3UmvN4yyb2tjpckGbTioNa6JC1tQw7qmtIAAAAAAOipOhNez0gyuNXx9CSjV5mzKMmQ9S0KAAAAAICerTPh9f1JxrY6vjXJgaWUEUmyvO/1YUke7LLqAAAAAADokToTXv8+yfjlIXWSnJNk8yS3l1J+luTOJGOSfK9rSwQAAAAAoKfpTHj93SQfTDIwSWqtlyX5xPLjI5KMSHJ6kjO6uEYAAAAAAHqYPms7sdb6eJILVxk7o5RyVloe5vhUrbV2cX0AAAAAAPRAndl53aFa69Ja65OCa9g4lsx+MlNOPyTTL/v6BrvHrOvPz5TTD8mCh/+ywe7B2pk4cWJKKZk4cWJ3lwIAAACwUa13eN1aKeWgUsrNXXlNut6U0w/JlNMP6e4yut1DDz2UUkq718CBA7PjjjvmYx/7WB555JHuLrNL1CWLMvvmn+fx//1UHv76v2XKVw7P1DMn5PGJx2XGFd/Kgofv7O4SG2dFaNz61b9//4wZMybvec97Mnny5C65z9VXX51SSk4++eQuuR4AAADAP4u1bhtSStk8yZJa65wOzr0myZeS/EsX1gYbxZAhQ/KJT3xi5fHTTz+da665JmeffXYuuuii3HbbbRk1alQ3Vrh+li16Nk/++IQsevL+9N5kWAa9dN/03mRols6blSUzH8szd/wuyxbMy4DRr+ruUhtpl112yeGHH54kmTNnTm644Yb8+Mc/zsUXX5yrrroq++233wa9/1vf+tbss88+2XrrrTfofQAAAACaZo3hdSnliCRfTjJ2+fGdSf5PrfXmUsqIJGcneWuSkuSOJJ/fYNXCBjB06NAOd70eeuihufTSS/Pd7373Bb0rds4tv8qiJ+/PgLG7ZcTbP5/Su2+b80sXzM3i6f8cO8w3hF133bXd3/9HPvKRfPvb386JJ56YSZMmbdD7DxkyJEOGDNmg9wAAAABootW2DSmlvDbJT5Nsm5ZwuiTZOclvSik7J/lzkrcl+VuSt9dad6+1/nrDlszG9uxDd+TJn34+j3zzyEz56lvz6HeOycyrJ2bZwnlt5k275MuZcvohWTzj0Tbj03/9tUw5/ZA8ecFn24w/88wz6du3b/7lX9pv2P/JT36S8ePHZ9iwYRkwYEBeTX9x2wAAIABJREFU/vKX54tf/GIWLlzYbm4pJePGjcsTTzyRD33oQxk1alR69+693j2CDzzwwJbPNW1am/HHHnssp556avbbb7+MHDky/fr1y4te9KK8+93vzt///vd211nRnuSoo47KQw89lCOPPDJbbrllBgwYkD333DO//nXH/2SWLZyfGVd9N1PPen/Ln/t3P5I5f/pFOttefuGjLTVtutvB7YLrJOk9YHAGvPjlz/v+ef+4Po//7yfz8NeOyCPfPDLTfnV6ljwzvf19nrgvM678dh479+Ot1sqHM+MP38vSBXPbzZ9755WZcvohmXvnlXn2gVvzxI9PaGlp0qqlzZTTD8m4cePy2GOPZcKECRkxYkQGDhyYPfbYIz/+8Y+ft+bf/e53Ofjgg7Plllumf//+2X777fPpT386s2bNWu2f1dr64Ac/mCT585//3O7cPffckxNOOCF77rlnhg8fvrLVyDHHHJOpU6e2mXvUUUdl/PjxSZJTTjmlTYuSq6++Osnqe14vfOK+TPvFl/LI/7wnU756eKZ+6+g8/fuzs2TujC75nAAAAADdaU07rz+RlsD6M0m+v3zsI0lOTfKHJIOTfDzJObXWZRuqSLrPM3f8JjN+d3ZKvwEZ9NL90nvQ0Cx4+M7MufmiPHvfnzLyvV9OrwGDkyQDxuyS+X+/NgumTE7fzZ9rs7Gin/LCR/+RumRRSp9+SZJrrrkmS5YsyQEHHNDmnh/84Adz7rnn5sUvfnHe9ra3ZejQobnpppvyuc99LldddVWuuOKK9OnTdunOmDEj++yzTwYPHpy3ve1t6dWrV7baaqv1+uxXXXVVkmTPPfdsM37ttdfmtNNOy/jx43PEEUdk8ODBuffee3PRRRflkksuyQ033JBddtml3fWmTJmSvffeO9ttt10mTJiQGTNm5MILL8xhhx2WK6+8cmWImSR1yeI8eeF/ZdHj96bviG2zySvGZdmCeZn9xwuy4JG/dupz9B64WZJk8cxH1zCzvWduuzzz77s5g3Z4dQZs86osfOzuzP/HdVn01IN50dH/k9LnuTB87uTfZv49N2XANq/MgLG7JsuWZdGT9+eZP/8yCx64NSMnfC29+g9qd4/5d9+QZx+4NQO32yOb7vamLJn9VJvzM2fOzL777puhQ4fm6KOPzqxZs/LTn/4073nPe/Loo4/m05/+dJv5p556ak466aRsvvnmOeSQQzJixIj85S9/yVe/+tVcfvnlufHGG7PZZpt1+s+itRW/QOjbt/0vA37+85/nnHPOyfjx47PvvvumX79+ueuuu/K9730vl156aW655ZaVbWhWtCM577zz8rrXvS7jxo1beZ2xY8eutob59/0p0375paQmg166X/oMGZ5FT9yfubdfnmfvvSkj3/uV9Bmyfv8GAAAAALrTmsLrfZJcVWs9vdXYF0sp45OMS3JMrfX7Hb6TF7wls5/KjCu/ndJvQLZ+33+n7xbbrDz39O/PztzbL8/Mq3+QLd74H0lawuskWTBlcjbd7eAkyeKnp2bpM9MzYOxuWfDQ7Vkw9W8ZOHbXJM+Fw69//etXXnfixIk599xz89a3vjXnn39+Bg4cuPLcySefnFNOOSVnnXVWjjvuuDa13nnnnZkwYULOPffcdsH2msyaNatNW4iZM2fm2muvzZ133pmjjjoqEyZMaDP/9a9/fZ588slsuummbcYnT56c/fbbLyeccEJ+85vftLvP1VdfnZNPPjknnXTSyrF3v/vdeeMb35ivfOUrbcLrOX/+RRY9fm8GvWTfbHn4CSml5T9JbLbP2/PEeZ9od+3VGfSy12beXZMy67ofZcnspzJw+73Sb6vt02fw5mt877MP3pqt3//19Bs+duXYtEu+kvl/vybz770pm7z8tSvHh+zzb9n8wH9P6dW7zTWemfz7zPjtGXnm9sszZJ+3t7/H/bdkxDtOzsDt9uiwhr/85S95xzvekQsuuCC9erX8OZxwwgnZY4898l//9V854ogjst122yVJJk2alJNOOimvec1rcvnll2fo0KErrzNx4sQcffTROemkk/L1r399jZ99db773e8mSfbff/925yZMmJBPfvKT6d+/f5vx3//+93nTm96UL37xi/nWt76VpCW8Hjp0aM4777yMGzdurdvTzJ07N09f/o1k2bJs9a4vZcA2r1x5bvZNF2XWNRPz9G/PzFbv/MI6fkIAAACA7rfatiFJhie5tYPxW5Z/vbhry6FJ5t01KVm6JJvufkib4DpJhv7L+1L6Dcy8uyalLlmcJOk7dGR6D9kqCx6+c+XO1AVTJrfM3/89Sem18jhpCa832WSTvPrVr1459s1vfjN9+vTJueee2ya4TpLPfe5z2WKLLXL++ee3q7Vfv3756le/2ungOklmz56dU045ZeXrjDPOyB133JG99tor73znO9tdc8SIEe2C66TlwX6vf/3rM2nSpCxevLjd+TFjxuTEE09sM/aGN7who0ePzp/+9Kc243PvvCIpvTJ03NErg+uk5c940z3e0qnPN2iHvTPsgGNS+vTP3Nsvz7SLTsmjZ70vU8+ckGmXfmW1O7k33ePQNsF1kmy6yxuSJIsev6fNeJ8hI9oF10kyeOcDU/oNyrMP3tbhPQbu+OrnDa6TpHfv3jn99NNXBtdJsu222+bYY4/N4sWL88Mf/nDl+BlnnJGkJVxuHVwnLS06dt111w7Xz+rccccdOfnkk3PyySfnU5/6VPbaa69873vfy4te9KJ87Wtfazd/1KhR7YLrJDnooIPyile8Ir/73e86df+O/OpXv8qyZ+dk0Mte2ya4TpLN9n5ry7/Dh27PkjlPPc8VAAAAAJpvTUlfnyTzOxifnyS11q5pIEsjLXry/iTP7ahurfeAwem31fZZ+Mhfs3jGI+k3omXn64DRO2fenVdk8VMPpN9W22fBlMnpPXjz9B/1svQbucPK8HratGn561//moMOOij9+rW0EZk/f34mT56cLbfcMt/4xjc6rKl///4d9pUeO3ZsRowYsU6fc8yYMXnooYdWHs+ePTu33357PvGJT+Tggw/OOeeck2OOOabNey677LKcc845ueWWWzJ9+vQsWbKkzfnp06dn6623bjO26667pnfv9uHuNttskxtvvHHl8bKF87Nk5uPpvenw9B22dbv5A0a/KrNv+EmnPuNmex6awbsclAUP3ZGFj/49i558IAsf/Xvm/+2azP/bNRmy75EZ+tr3tntf/5E7tBvrvdmWSdKuj3VduiTP3PGbzP/7dVn89MNZtnB+0qqb0NK5T3dYW/+tX7La2kePHp1tt9223fi4ceNyyimn5Pbbb185duONN6Zv37752c9+lp/97Gft3rNo0aJMmzYtTz/9dLbYYovV3neFyZMnZ/LkyW3GRo8eneuuuy6jR49uN7/WmvPPPz8TJ07M5MmTM3PmzCxdunTl+RXrfX3cdlvLLwIGjNm53bnSq3cGbPOKzJv9ZBY9+UD6bLZu/y4AAAAAulvnt6nSY6x4IGPvTYZ1eH7F+LIFzz24ceDYXTLvzivy7EOT03fEtlnwyF9X7qodMGaXzLn54ixbOC9/+MMfUmtt0+965syZqbVm2rRpOeWUUzpV68iRIzs1f3WGDBmScePG5aKLLsqOO+6Y448/PhMmTFi5E/yMM87Icccdl2HDhuXAAw/M6NGjM2jQoJRS8stf/jKTJ0/u8MGSq+4EXqFPnz5Ztuy5kHfZwpbfF/XepOP5z/f3sSa9+g7IoB33yaAd90mS1KWLM3fy7zLjyu9k9h8vyKCXvCb9ttq+7XsGbNLuOit3V6/S5n7aJafn2XtuTJ+hIzNwh33Se/DQlQ+InHPLJSt36Hf28zxf7/IVf+ezZ89eOfb0009nyZIla1w/c+fOXevw+v3vf38mTpyYWmueeuqpfP/738+JJ56Yt7zlLbnxxhszaFDbPt6f+tSn8o1vfCNbb7113vCGN2TUqFEr187EiRMzZcqUtbrv6qz4zL2fp/VL701axlv/2wQAAAB4oVmb8PqoUsq4VcbGJkkp5Q8dzK+11gM6GOcFplf/luBy6byZyfAx7c4vnTezzbwkGTB6Rd/rOzJgzM5Z9uyclTu3B4zZJXNu+lkWTPlLrprX0s6gdb/rIUOGJEl22223lTtL11YppVPz18YOO+yQzTffPDNmzMg999yTXXbZJUuWLMlJJ52UkSNH5rbbbmu3u7r1Dup1teKhhkvndfwfG1b8ua+v0rtvNt39kCx87O7Mu2tSFkz5S7vwem0tfPzePHvPjRkwZteMeMfJKb2f+9FS67LMufnnqylk9X93Tz75ZIfjTzzxRJLn1s2K75ctW5YZM2Z0ovq1U0rJVlttlc9+9rOZOXNmvvrVr+bEE0/Mf//3f6+c89RTT+WMM87IK1/5yvzxj39s117mJz/p3I7557PiMy+d2/FaWDqv5fN39IBMAAAAgBeKNfW8TlqC6nGrvMYmKR2Mr3jxT6DvVi2tQBY+fGe7c8sWzM2iJx9I6dOvTT/s3oOHpe8Wo7Nw6l1Z8GDb1gb9R7086d03C6ZMzh/+8IcMGzYsu+2228r3Dh48OK94xSty1113bZDwsbOWLFmSZ555JklW7oyePn16Zs2alX333bddcD137txOh+4d6dV/UPoM2zpL5z6dxTMfb3d+QQd/H+uj9FvRW7yu8zWWzHwsSUv/6tbBdZIseuye1CXtd6KvrYcffrhNW5cVrr766iRps4b22WefzJw5M3fdddc6329tfP7zn8/w4cNz5pln5sEHH1w5/sADD2TZsmU56KCD2gXXU6dOzQMPPNDuWitaybRuLbImKz7zwkfar4W6bGkWTv1bkqTfyHX7ZQQAAABAE6wpvB6/Dq/Xd3glXnAGv2J80qtP5tz26yxeHk6uMOu6H6Uump9NdhqX0qdvm3MDxuycunhh5txySfoMe9HKnru9+vZP/1Evy7x/XJ/7778/48aNa/MQvqSl5cKiRYvygQ98ILNmtd95PHPmzC4JiNfGmWeemcWLF2eLLbbIK1/Z8lC8ESNGZNCgQbn11lszd+5zPZ8XL16c4447LtOnT++Sew9+1YFJXZZZV/8gtVV7jsWznsgzt17aqWs9c/vlWfjoPzo8t/jpRzL/H9cnSfq/+BXrXG+fIS2tPVb9RcfSebMy44pvrfN1k5ZQ9/jjj2/TWuXBBx/MGWeckT59+uS9732uV/cnP/nJJMmHP/zhPPbYY+2uNW/evNx0003rVU+SbLrppjn++OOzePHinHzyySvHx44dmyS5/vrr24TRc+fOzYc//OF2vdGTrGxf8vDDD6/1/Q8//PD0GrBp5v3tmnZ/t3P+/KssmfVEBozZVb9rAAAA4AVttW1Daq3XbKxC2PimX/b15z23+UH/nj5DtsrmB3w4M674Vh6feFw2edlr02vQZln48F+z8LF/pM/mL87QcUe3e++AMbvkmdt+nWXzZ2XQS17T7tyKgLN1v+sVPvCBD+TWW2/N2Wefne233z5veMMbMnr06MyYMSMPPvhgrr322hx99NE555xz1vPTP2fWrFltAsg5c+bktttuyzXXXJNevXrl7LPPTt++LQF9r169cuyxx+a0007Lq171qhx22GFZtGhRJk2alBkzZmT8+PGZNGnSete02V5vzfx7b8z8e/6Yxycel4Hb7p5lC+dl/t+vS/9tXpln77t5ra/17IO3Zcbvz07vIVtlwKiXp/dmW6YuWZwlMx/Lsw/enixbkk33eEv6v+il61xvv613TP9RO2X+PX/MEz/8z/R/8U5ZOn9Wnn3g1vTdfNTz9mZeGzvvvHNuvvnm7LHHHjnooIMye/bsXHjhhZk1a1a+/OUvZ/vtn9tdfMABB+S0007LZz7zmey44445+OCDs+2222bu3LmZMmVKrrnmmuy///757W9/u871rPDRj340X/va1/KjH/0oxx9/fHbaaaeMHDkyRx55ZC644ILsuuuuK+u94oorMmDAgOy6666544472lznpS99aUaNGpULLrgg/fr1y+jRo1NKyYQJEzJmTPt2PUnL/1LY4uDjMu2Xp+WJn5yQTV66f3pvNjyLnrgvCx66Pb03GZbN3/jx9f6MAAAAAN3JAxt7sHl/vep5z21+wIeTvsmmu785fYZtnTl/+kXm331Dli1ZmD6bDs9me78tQ17zb+k1YHC79w4Y/aqk9ErqspX9rlcYOGaXzL7uR0na9rtu7ayzzsqb3vSmnHPOObnyyisza9asbL755hk9enQ+/elPt9lp2xVmz57d5gF/ffv2zVZbbZUjjzwyn/rUp7LXXnu1mf+FL3whw4cPz/e+9718+9vfzpAhQ3LggQfmi1/8Yk466aQuqan06Zut3vn/Muv68zP/H9e17GIfslWG7PvODHzJvp0Kr4eNOzoDXrxTnn1ochY+dneW3ntj6rKl6T1oWAbusFcGv+pfM2iHV69fvb16Z/gRn8us636YZ++/JQtvvTR9Nt0ig3c+KEP2fWce+95H1/naw4YNy29+85v83//7f/ODH/wgc+bMyU477ZT//M//zLvf/e52848//vjst99+OeOMM3L99dfnV7/6VYYMGZJRo0blmGOO6fA962LgwIH5zGc+k2OPPTaf+9zncvHFFydJvv/972e77bbLhRdemLPOOivDhw/PoYcemlNPPTVHHHFEu+v07t07v/jFL3LCCSfkpz/9aZ555pnUWrP//vs/b3idJIN23Ccj3/vlzL7xp3n2wduybOH89N5kWAbv+qYM2ffI9Nl07R5ICQAAANBUpdZ173PbVHvuuWe95ZZburuMJMnYEy7r7hIa6aHT3tzdJTSS9dLWlNMPyete97qV/a15jrXSMT9bOma9tGetdMxa6Zj10jHrpT1rBdafny3t+dnSMWulY9ZLx6yX9pq0Vkopt9Za9+zo3No8sBEAAAAAADYq4TUAAAAAAI0jvAYAAAAAoHGE10BjjTn+1/pdAwAAAPRQwmsAAAAAABqnz7q8qZSySZKXJBlca72ua0sCAAAAAKCn69TO61LKi0spFyeZmeSWJJNandu/lPK3Usq4ri0RAAAAAICeZq3D61LK1kluTnJYkl8nuTFJaTXl5iQjkryzKwsEAAAAAKDn6czO65PSEk7/a631bUmuaH2y1ro4yXVJ9uu68gAAAAAA6Ik6E14fnOSSWuvVq5nzcJIXrVdFAAAAAAD0eJ0Jr7dKcu8a5ixOssm6lwMAAAAAAJ0Lr2ck2WYNc16S5Il1LwcAAAAAADoXXt+Q5NBSysiOTpZSdkzyxiST1vaCpZRzSylPlVL++jznx5VSZpdS7lj++nwn6gUAAAAA4AWqM+H1V5IMSHJNKeVNSQYlSSllk+XHlyZZluRrnbjmxLQE3qtzXa111+WvUztxbQAAAAAAXqD6rO3EWuvNpZRjkpyT5NetTs1Z/nVJkg/UWu/qxDWvLaWMXdv5AAAAAAD0DKXW2rk3tLQH+WiSfZJskWR2kpuSnFlrvbvTBbSE17+utb6yg3PjklycZGqSx5L859qE4zvttGk9//w9OlvKBnHzg093dwmN9Optt+juEhrJemnPWumYtdIx66Vj1kt71krHrJWOWS8ds17as1Zg/fnZ0p6fLR2zVjpmvXTMemmvSWtl992vubXWumdH59Z65/UKtdZ7k3xyvataO7clGVNrnVtKOTjJL5Ps2NHE5bvCj0mSHXbov5HKAwAAAABgQ+h0eL0x1VrntPr+8lLK2aWULWut0zuY+50k30mSPffcs+6229Ubr9DVeOuFl3V3CY300Nve3N0lNJL10p610jFrpWPWS8esl/aslY5ZKx2zXjpmvbRnrcD687OlPT9bOmatdMx66Zj10l6z1kp53jOdDq9LKfsnOTrJbkmGpKVtyO1JflBrvX4dK3y+e41M8mSttZZS9k7LAybt8wcAAAAA+CfXqfC6lPI/ael3vWocvmuSo0opZ9Vaj+3E9X6SZFySLUspU5OclKRvktRaz0ny9iT/XkpZkuTZJEfWzjbpBgAAAADgBWetw+tSyn8k+ViSB5J8IcnVSZ5IMjLJ+CQnJvlYKeXuWutZa3PNWuu71nD+zCRnrm2NAAAAAAD8c+jVibkfSfJYkj1rrefVWqfUWhcu/zoxyd5pCbM/ugHqBAAAAACgB+lMeL1dkotrrbM6OllrnZHk4uXzAAAAAABgnXUmvH46yaI1zFmUZPq6lwMAAAAAAJ0Lr3+Z5NBSSt+OTpZS+iU5dPk8AAAAAABYZ50Jrz+bZHaSK0sp+5ZSSpKUFvsluTLJzOXzAAAAAABgnfXpxNw7kvRLsnWS65IsKaVMT7Jlq+s8nmTy8lx7hVpr3b4LagUAAAAAoIfoTHjdK8niJA+vMv7YKsdlDccAAAAAALBaax1e11rHbsA6AAAAAABgpbXueV1KGV1KGbkhiwEAAAAAgKRzD2x8MMmXNlQhAAAAAACwQmfC61lJpm+oQgAAAAAAYIXOhNc3JdltQxUCAAAAAAArdCa8PjnJa0spH9pAtQAAAAAAQJKkTyfmvinJ1Um+XUr59yR/SvJEkrrKvFpr/ULXlAcAAAAAQE/UmfD65Fbf75bnbyFSkwivAQAAAABYZ50Jr8dvsCoAAAAAAKCVtQ6va63XbMhCAAAAAABghc48sBEAAAAAADYK4TUAAAAAAI3TqfC6lLJ1KeWsUsp9pZRnSylLO3gt2VDFAgAAAADQM6x1z+tSyqgkf0qyVZK7kvRPMiXJwiTbLb/WHUlmd32ZAAAAAAD0JJ3Zef35JCOTvLHWusvysR/UWl+WlvD6d0kGJnlb15YIAAAAAEBP05nw+g1JfltrvXLVE7XWqUnekZbw+pQuqg0AAAAAgB6qM+H1yLS0C1lhaVrC6iRJrXVukiuSHNY1pQEAAAAA0FN1Jryek6Rfq+OZSUatMmd2kuHrWxQAAAAAAD1bZ8LrKUm2aXU8OcnrSymDkqSU0ivJQUmmdl15AAAAAAD0RJ0Jr69KMr6U0nf58XlJXpTkj6WUryS5IckrklzYtSUCAAAAANDT9OnE3O+npVXIlkker7X+qJSyR5L/SLLz8jkXJPl/XVsiAAAAAAA9zVqH17XWe5OcvsrYJ0spX0qyXZKHaq1PdnF9AAAAAAD0QJ3Zed2hWuu0JNO6oBYAAAAAAEjSuZ7XAAAAAACwUXRq53UpZfMkH0iyd5JhSXp3MK3WWg/ogtoAAAAAAOih1jq8LqW8LMnVSYYnKauZWtezJgAAAAAAerjOtA35apIRaXlo43ZJ+tZae3Xw6mg3NgAAAAAArLXOtA15bZLLaq2f3VDFAAAAAABA0rmd1yXJ3zZUIQAAAAAAsEJnwutbk7x0QxUCAAAAAAArdCa8PjXJwaWUcRuoFgAAAAAASLKantellPd1MPyrJL8vpfwkLTuxZ3X03lrr/3ZNeQAAAAAA9ESre2DjxCR1lbGy/OuE5a+OztckwmsAAAAAANbZ6sLrozdaFQAAAAAA0Mrzhte11vM2ZiEAAAAAALBCZx7YCAAAAAAAG8Xq2oasUSnl0CSvT0uv62trrRd3SVUAAAAAAPRoq915XUp5Synl2lLK6zo494Mkv0hybJL/SPLTUorwGgAAAACA9bamtiGHJtk9yc2tB0sphyR5f5L5Sb6Y5PgkDyQ5vJTyrg1QJwAAAAAAPcia2obsneTGWuuCVcY/kKQmObrWelGSlFJ+mOT+JO9J8pOuLhQAAAAAgJ5jTTuvR6YlkF7VvySZlWRlm5Ba6xNJLkuyW5dVBwAAAABAj7SmndfDksxoPVBKGZ1k8ySX1lrrKvMfTEurEQAAAMjYEy7r7hIa6aHT3tzdJQBA461p5/UzSV68ytgey7/e/jzvWbXFCAAAAAAAdMqawus7k7y5lDK41dhb09Lv+voO5m+b5PEuqg0AAAAAgB5qTeH1+WlpHXJNKeXYUsqZaXkg4xNJJrWeWEopSfZP8rcNUSgAAAAAAD3Hmnpefz/J25K8IcmuSUqSxUmOq7UuXWXuAWl5wOOVXV0kAAAAAAA9y2rD61rrslLKm5O8K8m+SZ5O8vNa6x0dTN8yyTeTXNLlVQIAAAAA0KOsaed1aq3L0tI+5Pw1zLsgyQVdVBcAAAAAAD3YmnpeAwAAAADARie8BgAAAACgcYTXAAAAAAA0jvAaAAAAAIDGEV4DAAAAANA4wmsAAAAAABpHeA0AAAAAQOMIrwEAAAAAaBzhNQAAAAAAjSO8BgAAAACgcYTXAAAAAAA0jvAaAAAAAIDGEV4DAAAAANA4wmsAAAAAABpHeA0AAAAAQOMIrwEAAAAAaBzhNQAAAAAAjSO8BgAAAACgcYTXAAAAAAA0jvAaAAAAAIDGEV4DAAAAANA4wmsAAAAAABpHeA0AAAAAQOMIrwEAAAAAaBzhNQAAAAAAjdOt4XUp5dxSylOllL8+z/lSSjmjlHJfKeUvpZTdN3aNAAAAAABsfN2983pikjeu5vybkuy4/HVMkm9thJoAAAAAAOhm3Rpe11qvTTJjNVMOS/K/tcVNSYaWUrbeONUBAAAAANBdunvn9ZqMSvJIq+Opy8faKaUcU0q5pZRyy7Rp0zZKcQAAAAAAbBhND69LB2O1o4m11u/UWveste45fPjwDVwWAAAAAAAbUtPD66lJtml1/OIkj3VTLQAAAAAAbCRND68vSfK+0mKfJLNrrY93d1EAAAAAAGxYfbrz5qWUnyQZl2TLUsrUJCcl6ZsktdZzklye5OAk9yWZn+To7qkUAAAAAICNqVvD61rru9Zwvib52EYqBwAAAACAhmh62xAAAAAAAHog4TUAAAAAAI0jvAYAAAAAoHGE1wAAAAAANI7wGgAAAACAxhFeAwAAAADQOMJrAAAAAAAaR3gNAAAAAEDjCK8BAAAAAGgc4TUAAAAAAI0jvAYAAAAAoHGE1wAAAABJutYCAAAe8ElEQVQANI7wGgAAAACAxhFeAwAAAADQOMJrAAAAAAAaR3gNAAAAAEDjCK8BAAAAAGgc4TUAAAAAAI0jvAYAAAAAoHGE1wAAAAAANI7wGgAAAACAxhFeAwAAAADQOMJrAAAAAAAaR3gNAAAAAEDjCK8BAAAAAGgc4TUAAAAAAI0jvAYAAAAAoHGE1wAAAAAANI7wGgAAAACAxhFeAwAAAADQOMJrAAAAAAAaR3gNAAAAAEDjCK8BAAAAAGgc4TUAAAAAAI0jvAYAAAAAoHGE1wAAAAAANI7wGgAAAACAxhFeAwAAAADQOMJrAAAAAAAaR3gNAAAAAEDjCK8BAAAAAGgc4TUAAAAAAI0jvAYAAAAAoHGE1wAAAAAANI7wGgAAAACAxhFeAwAAAADQOMJrAAAAAAAaR3gNAAAAAEDjCK8BAAAAAGgc4TUAAAAAAI0jvAYAAAAAoHGE1wAAAAAANI7wGgAAAACAxhFeAwAAAADQOMJrAAAAAAAaR3gNAAAAAEDjCK8BAAAAAGgc4TUAAAAAAI0jvAYAAAAAoHGE1wAAAAAANI7wGgAAAACAxhFeAwAAAADQOMJrAAAAAAAaR3gNAAAAAEDjCK8BAAAAAGgc4TUAAAAAAI0jvAYAAAAAoHGE1wAAAAAANI7wGgAAAACAxhFeAwAAAADQOMJrAAAAAAAaR3gNAAAAAEDjCK8BAAAAAGgc4TUAAAAAAI0jvAYAAAAAoHGE1wAAAAAANI7wGgAAAACAxhFeAwAAAADQOMJrAAAAAAAap9vD61LKG0spd5dS7iulnNDB+aNKKdNKKXcsf32oO+oEAAAAAGDj6dOdNy+l9E5yVpIDk0xN8udSyiW11r+tMvXCWuvHN3qBAAAAAAB0i+7eeb13kvtqrQ/UWhcluSDJYd1cEwAAAAAA3ay7w+tRSR5pdTx1+diqjiil/KWUclEpZZuNUxoAAAAAAN2lu8Pr0sFYXeX40iRja607J7kyyXkdXqiUY0opt5RSbpk2bVoXlwkAAAAAwMbU3eH11CStd1K/OMljrSfUWp+utS5cfvjdJHt0dKFa63dqrXvWWvccPnz4BikWAAAAAICNo7vD6z8n2bGUsm0ppV+SI5Nc0npCKWXrVoeHJvn7RqwPAAAAAIBu0Kc7b15rXVJK+XiS3yXpneTcWutdpZRTk9xSa70kybGllEOTLEkyI8lR3VYwAAAAAAAbRbeG10lSa708yeWrjH2+1fefSfKZjV0XAAAAAADdp7vbhgAAAAAAQDvCawAAAAAAGkd4DQAAAABA4wivAQAAAABoHOE1AAAAAACNI7wGAAAAAKBxhNcAAAAAADSO8BoAAAAAgMYRXgMAAAAA0DjCawAAAAAAGkd4DQAAAABA4wivAQAAAABoHOE1AAAAAACNI7wGAAAAAKBxhNcAAAAAADSO8BoAAAAAgMYRXgMAAAAA0DjCawAAAAAAGkd4DQAAAABA4wivAQAAAABoHOE1AAAAAACNI7wGAAAAAKBxhNcAAAAAADSO8BoAAAAAgMYRXgMAAAAA0DjCawAAAAAAGkd4DQAAAABA4wivAQAAAABoHOE1AAAAAACNI7wGAAAAAKBxhNcAAAAAADSO8BoAAAAAgMYRXgMAAAAA0DjCawAAAAAAGkd4DQAAAABA4wivAQAAAABoHOE1AAAAAACNI7wGAAAAAKBxhNcAAAAAADSO8BoAAAAAgMYRXgMAAAAA0DjCawAAAAAAGkd4DQAAAABA4wivAQAAAABoHOE1AAAAAACNI7wGAAAAAKBxhNcAAAAAADSO8BoAAAAAgMYRXgMAAAAA0DjCawAAAAAAGkd4DQAAAABA4wivAQAAAABoHOE1AAAAAACNI7wGAAAAAKBxhNcAAAAAADSO8BoAAAAAgMYRXgMAAAAA0DjCawAAAAAAGkd4DQAAAABA4wivAQAAAABoHOE1AAAAAACNI7wGAAAAAKBxhNcAAAAAADSO8BoAAAAAgMYRXgMAAAAA0DjCawAAAAAAGkd4DQAAAABA4wivAQAAAABoHOE1AAAAAACNI7wGAAAAAKBxhNcAAAAAADSO8BoAAAAAgMYRXgMAAAAA0DjCawAAAAAAGkd4DQAAAABA4wivAQAAAABoHOE1AAAAAACNI7wGAAAAAKBxhNcAAAAAADSO8BoAAAAAgMbp9vC6lPLGUsrdpZT7SikndHC+fynlwuXnby6ljN34VQIAAAAAsDF1a3hdSumd5Kwkb0qyU5J3lVJ2WmXaB5PMrLXukOTrSU7fuFUCAAAAALCxdffO672T3FdrfaDWuijJBUkOW2XOYUnOW/79RUkOKKWUjVgjAAAAAAAbWam1dt/NS3l7kjfWWj+0/HhCklfXWj/eas5fl8+Zuvz4/uVzpq9yrWOSHLP88KVJ7t4IH+GFZssk09c4C6wVOsd6YW1ZK3SG9cLaslboDOuFtWWt0Bn/v707j5Okru8//nrLAoviwSUgeBBRMeIDXA6jggKrBDzxIKIxKFEDKnggyhE5460EFTCKihoVJepP8YigEZQFVFgRBTRRPAAlSAARkEMWPr8/qhqapmedWXa7aobX8/HYR3d9q6rnPUwxXfPpb33K40XT5bEy3kOrap1xK+ZNOsmIcTOoR6vp09mGqjoOOG55hJqrkiyuqi27zqH+81jRTHi8aLo8VjQTHi+aLo8VzYTHi6bLY0Uz4fGi6fJYmbmu24b8Fnjw0PKGwGVTbZNkHnB/4OqJpJMkSZIkSZIkdaLr4vU5wCOSbJRkFWA34Csj23wFeGn7/AXAqdVlrxNJkiRJkiRJ0grXaduQqlqSZG/gFGAl4PiqujDJEcDiqvoK8DHgU0kuoplxvVt3iWc926poujxWNBMeL5oujxXNhMeLpstjRTPh8aLp8ljRTHi8aLo8Vmao0xs2SpIkSZIkSZI0TtdtQyRJkiRJkiRJuguL15IkSZIkSZKk3rF4LUmSJEmSJEnqHYvXc1CS+UnWGTP+wCTzu8gkSZIkSX2Q5PVdZ5Ak3bP5XjR9Fq/npg8A244Zfxpw1ISzaJZJslaS5ybZouss6pckGybZZmh53ySHtP827jKb+ifJ84aer9FlFklzR5L9kjy46xya9fbtOoD6J8mTkjymff68JO9Lsk+SVbrOpn5J8omuM2hO8L1omlJVXWfQcpbkp1X111Osu7CqHjPpTOqvJF8DDqiqC5KsD5wLLAYeDhxXVe/rNKB6I8lngc9U1dfa5f8BjgPuDWxSVX/fZT71S5Jzq2rB6HNpVJLTgKlOSKuqFk4yj/otyVHAC4BfA58FPl9VV3abSrNNkkuryg9BdLskRwNbAqsA5wNrAycDTwSWVNXuHcZTz3huq+XB96Lpm9d1AK0QWco6Z9tr1EZVdUH7fA/gW1W1e5L7AmcCFq818KhB4bp1Q1UdCZBkUUeZ1F+Z4rk0ar8xY38DvBm4YsJZ1HNV9YYk+wJPBnYDDk7yY5pC9peq6rpOA2q2cAaXRu0AbArMB34LrFtVS5IcC/yk02Tqo3sneRxTnONW1bkTzqPZyfeiabJ4PTddkWTrqjp7eDDJVsD/dZRJ/XXL0POFwEcAquq6JLd1E0k9Ndozf3g25FqTDKJZYbX2pP5ewPzRE3xP6jVQVT8cPE/yFOBgYFVgr6r6RmfB1FvVXDr6XeC7SfYGngq8E/gQzdVAEkmuY3xhIMBqE46j/ru5/d1yY5KLq2oJNL9vktzyF/bVPc8GwJGML14XzYch0vB70eBYGbwv+V40Axav56Y3Af/R9mEa/EG4JbA7zQwVadilSfahmWGwgObyOJKsBqzcZTD1znVJHllVPweoqqsBkmwCXN9pMvXR5cC/jnkOntRrRJK/pSla3wS8rapO6ziSZoEkj6U5t30hcBVwULeJ1CdVdd+uM2hWeWCS19IUlAbPaZfX6S6WeuqiqvJcVn+R70XLhz2v56gkDwReQ3PpE8CFwDFV5eW3upP2WDkCWB84tqq+2Y5vD2xRVe/tMp/6I8lONDeEfRtNb3SALWiKBa9zhqSGJblfVV3bdQ71X5JzaAoD7wG+N7reWfoaluQRNAXrFwG3Ap8DPltVv+o0mHovyQbASu3iZYOZtRJAkn9Z2vqqOnhSWdR/SX5UVY/rOof6L8l8YC9gY5oWRMf7/jNzFq/nqPby7IcDF1bVz7rOI2luSLIpTR/awY1fLwTePdQ3XQIgyS+Bf66qz3WdRf2W5DvccQnl8GWV0Fyx7cwm3S7Jr2j6W3+uqs7vOo/6K8mBwMpVdUS7fAnwR5orCz9ZVe/oMp/6JclWVXVO1zk0OyTZcTDpq11emWbi4O+cMKhhSU6kadW6CNgZuLiqXtdtqtnH4vUclOQQ4CU0LUMeD7yjqj7SbSr1VZKvspQbBVTVsycYR7NEktVpikp/6jqL+inJQ2lu+Lo68KqquqjjSJKke5Ak5wLbDs5VBjMlk6wEfLeqtuk2ofqkvfHrIuBAb/yqvyTJh4Cjq+rCJPenuXLsVmBNYL+q+mynAdUbSc6vqse2z+cBZ1fVgo5jzTr2vJ6bXghsXlU3JFmLpoexxWtNZVxbkOGbCEi3S/Jq4ADgPu3y9cC7quqDnQZT71TVxcBz23YzZ7atIW4bWu8HYwKaFjPAulX1i3Z5V+64gc0pVfX7zsKpd8bchK+AK4HTgP2r6qpOgqmXRj5kf387dmt7bxdp2ALgDcAPkxxq8VF/wbZVtVf7fA/g51W1S5L1gG/QXCEkQTPrGoCqWpJYYlkWFq/nppuq6gaAqroqyb26DqReewCwYVUdC5DkbJreowXs32Uw9UuStwBPBLYb9BZN8lfA+5OsWVVv7TSgeifJo2jazCwCjmWoeC0NeS9wFvCLdvkdNH/4rUbzO2evKfbTPdC4Gx8lWQN4GfAhYNdJZ1JvrZ5k5aq6BaCqPgGQZFXgfl0GU/9U1a3Ae5P8J/C9JP9Gc96SZnWt2WlA9c2fh54/Dfg8QFVdbnFSIzZLci13TAxcbWi5qsr3o2mwbcgclOQa4PTBIrBtuzz4n8PZbrpdkjOB3arq0nb5PGAhzczaj1fVwi7zqT+S/A+wWVXdNDK+GvDjqnpkN8nUR0neCTwbeKM389TSJPkRsKDak9LhmyAlOcNL+zVdSc71UlwNJHk7sB6w92BiT5L7AMcAl1fVgV3mU/8keSnwFpoP3O/0oXtb3JYASHIacCTwO5orfzZpC9fzgAuqapNOA0pzjDOv56bnjCy/F9tAaGqrDArXrTPaS26vak/wpduNFq7bsRuTOKNWox4LPLWqLgNIsjvwfOBi4LCqurrLcOqVeXXn2RT/MPT8AZMOo9mpvVmWf9to2MHA24BLklxM83fQg4GPteuk2yU5HbgceMrg3EVaij2BD9B8QPb6qrq8HV8IfL2zVOqdJPNpriLcGPgJcHxVLek21ezjCd7cZBsIzcQawwtVtffQ4joTzqJ++22ShVX17eHBJAuB/+0ok/prfeAmgCRPBt4J7ANsDhwHvKC7aOqZ25KsN/jDr6ouAEiyAbaa0YgkzxszvAbNPV++MOE46rF2puwBSQ6nKRoAXFRVN3YYS/319qo6edyKJK+vqvdNOpD6q6p+Duw0ZvwU4JTJJ1KPfZKm7/Ui4OnAY4DXdZpoFrJtyBxkGwjNRJLPAN+pqo+MjO9J09v4Rd0kU98keQxwEnAG8EOaD8S2Ap4EPKeqLuwwnnomyXlVtXn7/Fjg/6rqsNF1UpKX0JzEvxH4UTu8gObKsQ9U1ae6yqb+SfLxkaECrqI5l3G2m+4kyQOB19AUCwr4KXBsVV3RaTDNKkkuqaqHdJ1D/ZHkaO588+A7qarXTjCOeizJ+VX12Pb5POBsW5zNnDOv5ybbQGgm3gB8OcmLgXPbsS2AVYFdOkulPrqZ5oZYj6T5IzA0/fQ/RjvDVhoyL8m89rK4hcA/Da/rKJN6qKo+neRK4K00v1sALgAOsV+6RlXVHlOtc3akhiV5EnAC8Ang32nOWxYAZyf5+6o6s8N4ml1svalRi4eeHw4c2lUQ9d4tgydVtcQbei4bZ17PQUkuqqqNp1j3y6p6+KQzqf+S7MAdRYMLq+rULvOof5J8DTioqn4yMr4lcGhVPaubZOqjJP9Mc2nclcBDaG/Il2Rj4JNV9aROA0qac5wdqWFJvg+8qqp+NDK+OfDhqnp8N8k02/i7RUszfKNpaVSSW4E/DRaB1YAb2udVVffrKtts4synuekHSV45RRuIszvKpJ5ri9UWrLU0DxstXANU1eIkD5t8HPVZVb0tybdpel9/c+iGfPei6X0tAZDkA0tb76W3mgGnM2nY/UYL1wBVdV6S+3YRSP2V5DrGt4EYFJukqTgjVFOqqpW6zjAXWLyem2wDIWlFmL+UdZ7U6y6q6vtjxn7eRRb12l40bUL+A7gMC5BadhYQNCxJ1qiqP4wMrknzQap0u6ryAw1J6imL13NQewOSJ460gfi6bSAk3U3nTHFVx8tpbuAoSctifWBX4IXAEuBE4IujBScJnB2pGTkK+GaS/bjzhJ53teskaZmMvBfdO8m1g1XYCkJa7ux5LUmaliTrAl8C/swdxeotgVWA51bV5V1lkzQ3JNkAeBGwL7B/VX2q40iSZrEkzwTezNB9XYD3VNVXu0slSZJmwuK1JGlGkmwPbNouenNPSctFkgU0heun0XxAdmRV/bTbVJIkSZK6ZPFakiRJnUlyOPBM4GfA54CTq2pJt6kkzQVJdgYOoJl5XcBPgXdV1X92GkySJE2bxWtJkiR1JsltwK+AG9uhwclpgNuqarNOgkma1ZK8EtiTpm3I4nZ4S+CdwEer6riuskmSpOmzeC1JkqTOJHnouGFgQ+Cgqnr6hCNJmgOS/BTYpqquHhlfCzijqh7dTTJJkjQT87oOIEmSpHuuqrp48DzJ5sCLgb8Dfg18satckma9jBauAarqqiRd5JEkScvA4rUkSZI6k+SRwG40N2u8CjiRpui0fafBJM121ybZrKp+PDyYZDPguo4ySZKkGbJtiCRJkjrT9rxeBLy8qi5qx35VVX/VbTJJs1mSbYDPAB8HfkjTT38r4KXAS6rqjA7jSZKkabpX1wEkSZJ0j/Z84HLgtCQfSbKQpue1JC2ztji9Nc3fvC8D9qD53fJ4C9eSJM0ezryWJElS55LcB9iFpn3IDsAngS9V1Tc7DSZpVkryHGDDqjq2XT4bWIdmBvabq+oLXeaTJEnTY/FakiRJvZJkTWBX4IVVtUPXeSTNPknOBHarqkvb5fNoPhhbHfh4VS3sMp8kSZoe24ZIkiSpV6rq6qr6sIVrSXfDKoPCdeuM9nfLJcB9ugolSZJmxuK1JEmSJGmuWWN4oar2HlpcZ8JZJEnSMrJ4LUmSJEmaa36Q5JWjg0n2BM7uII8kSVoG9ryWJEmSJM0pSR4IfBm4GTi3Hd4CWBXYpap+31U2SZI0fRavJUmSJElzUpIdgMe0ixdW1ald5pEkSTNj8VqSJEmSJEmS1Dv2vJYkSZIkSZIk9Y7Fa0mSJEmSJElS71i8liRJkjQjSb6TZJn7DybZLkklOWw5xpIkSdIcY/FakiRJE5dkkyRHJ7kgyR+T/DnJZUm+nuTlSeZ3nfGeoC0gz+Tfy7rOLEmSpHuOeV0HkCRJ0j1LkkOAQ2kmUnwf+CRwPbAusB3wUeBVwJYdRbwnOXzM2OuB+wPvB64ZWXde+7g7cO8VmEuSJEmyeC1JkqTJSXIQTcH0UmDXqvrBmG2eCbxx0tnuiarqsNGxdnb1/YH3VdVvptjvkhUaTJIkScK2IZIkSZqQJA8DDgNuAZ4+rnANUFVfA3Yas//fJTm9bTNyY5LzkxyYZNUx2/6m/bd6kqOSXNruc16SXdpt5iU5KMkvktyU5JdJ9h7zWrf3Z07yhCT/1Wa4LskpSe4yQzzJg5IckuTMJJcPtUU5Icmjx/23ab/GJ9rnn0tyZZtrcVvQH95+r3b7Q6b4b71ekluSnD9u/d21tJ7XSXZM8tUkVyS5uf1vf1KSp07jdecn+UL7vR2b5F5D6+7d/rzPS/KnJNcn+V6SF415neGf2dZtO5qr27GH3Z3vXZIkSZNj8VqSJEmTsgewMvDFqrpgaRtW1c3Dy0neDpwIPBo4ATgGCPB24JQkK495mZWBbwFPB04CPgU8HPhikoXt670a+A5Nq5LVgaOTvHCKWI9vt70ZOBb4BrAQWJRk25FtnwwcQNN244vAUTQtUl4AnJNksym+xkOBs4GHtXlPBDYFTkqy/dB2nwauBV6RZKUxr/OPNFdZfniKr7NCJDkcOIWm/cspwJHAt2l+bi/5C/uuQfPzeh5wYFW9pqpua9c9ADiD5ud9K3A8TbuZdYATkrx1ipd9ArAImD+0z5+X/TuUJEnSJNk2RJIkSZOyTfv47ZnslOQJwIE0rUa2rqrL2/EDgS8BzwTeRFPYHPYg4Fxgu0ExPMmngNOBzwO/BDatqmvadf8K/DdN0fnEMVF2AvapqmOGsj0H+DJwfJJHDYqtwKnAulV13cj3shlwJvBOYOcxX2M74LCqOnxonxOAk9vv8TSAqrq+/V5e077O14a2D/AK4AaaAvhEJNkROAT4NbBtVf1uZP2GS9n3oTQfBmwM7F5Vnx7Z5H3A44D9q+rdQ/vNp/nvf1CSL1TVeSP77QjsVVUTLeJLkiRp+XDmtSRJkiZl/fbxtzPc7x/bx7cOCtcAVbWEpjf2bTTF2nFePzyLu6oW0RRX16AphF4ztO5XNIXlx04xm/ki4IPDA1V1EvBdmqLrtkPjV4wWrtvxH9MUtrefYrb4xcBbR/Y5BbgE2Hpk239rH/ccGd8R2Ag4sar+OOZrrCj7tI9vHC1cA1TV2J97ks2B7wEbADuPFq6TrEUza3vxcOG6fc2bgP1pZuG/eMzLn2fhWpIkafZy5rUkSZImJe3j2F7JS7GgfTx1dEVV/TzJb4GNkjxguBgNXFNVvxzzepfRFHd/OGbd74CVgPXa58MWDc2sHvYd4Ck0M4O/OxhM8gxgL2BLYG3ueu69NvC/I2PnVdWtY77GpTQtMG5XVRcmOR3YOcmDq+rSdtU/tY8fGvM6K9Lf0PxsT57BPtsA+wLXAU9ui/ujtqL5mVSSw8asH3wIcJde4jQtWCRJkjRLWbyWJEnSpFwGbAJM2T5iCvdvH0cLvQyNP6Tdbrh4PdWs4yUAU8xKXtI+jpsV/fspXm8wG3yQkySvBd4P/IGmj/MlNG08CtgF2Ay4y40muXP+0Vzjrpr8IE1/7VcAhyZZD3g2TRF80oXbBwB/qKobZ7DP44D7AmfRtGwZZ632cav231RWHzN2+ZgxSZIkzRIWryVJkjQpZwA70Nzk8GMz2G9QZF6Ppk/1qPVHtltR1p1ifL3hr59kHnA4TeF0QVXdqeje9vBeXv4fTVH95UmOoKMbNbauAdZKstoMCtjH0Nx08VXAV5LsMmbfwc/1qKrad4aZZjrLX5IkST1iz2tJkiRNyseBW4DnJ/nrpW2YZHhW8o/ax+3GbLcxzUzuX4+0DFkRtkky7vx5kGuQc22aWchnjSlcr84dbVDutqq6BfgoTb/oZ9HMwL4e+Mzy+hoz8H2a1jA7zWCfqqpX09yQcUfg60nuM7LN2TR9zbcd3VmSJElzm8VrSZIkTURV/QY4DFiFpki55bjtkuwEfGNo6Pj28S1J1hnabiXgvTTntDOZyb2sHgG8enggyXNo+l1fBCxqh6+gaRGyRVusHmy7Mk0rkbWXc67jgFtpZjFvBJww7maRE3B0+3hkkg1GV44bG6iqNwDvALYHTklyv6F1V9AU47dMcnA7s330tR+eZKO7+w1IkiSpX2wbIkmSpImpqre3xcdDgXOSnAUsppktvC5N/+ZHtGODfc5K8m7gzcAFSb4A/AnYGdiUph3JeyYQ/2SawuzOwI+BjYHnATcBLx/czLGqbkvyAeAA4PwkJ9EU7LcH1gROa58vF1V1SZKv0/S6hm5ahlBV30zyL8DBwM+SfJnmRpPr0tyY8fvAy5ay/0FJbqJpufKtJDtV1R/a1XvTHBdHAP+Q5AyadikPorlR41bAi4Bfr4jvTZIkSd1w5rUkSZImqqqOoCk6H0Nzk8M9gDcBz6Dpaf0KmmLn8D770xQnfwHsDryW5lz2LcDTqurPE4j+A5oWIavSFFN3Bk4FnlxVp49sezDwRuBGYE+aIvdiYGuamzcub4PZ6Yur6twV8PrTUlWH0PwczwKeCewH/C3wM+Dfp7H/ETQfUmwNfDvJ2u34tTQz3PcBrgSeD+xL8yHAdcAbaG6MKUmSpDkkVd7DRJIkSZpKku1oZksfXlWHdZtmvCSH0cxmf0VVTaKFiiRJkrTCOfNakiRJmsWS3BfYC7ga+GzHcSRJkqTlxp7XkiRJ0iyU5BnAAuBZNH2l96uqG7pNJUmSJC0/Fq8lSZKk2WlX4KU0Ny58B3BUt3EkSZKk5cue15IkSZIkSZKk3rHntSRJkiRJkiSpdyxeS5IkSZIkSZJ6x+K1JEmSJEmSJKl3LF5LkiRJkiRJknrH4rUkSZIkSZIkqXcsXkuSJEmSJEmSeuf/Axp478KGsmPaAAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 1800x720 with 1 Axes>"
       ]
@@ -3257,7 +3257,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 108,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -3266,7 +3266,7 @@
        "Text(0, 0.5, 'P/E Ratio')"
       ]
      },
-     "execution_count": 108,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -3297,10 +3297,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "# printing the dataset to csv \n",
+    "output = 'portfolio.csv'\n",
+    "\n",
+    "with open(output, 'w') as file:\n",
+    "    file.write(portfolio_df.to_csv(index=False))"
+   ]
   }
  ],
  "metadata": {