From 2c14416c9a6bfbfce776ed37e480f38d75c50afe Mon Sep 17 00:00:00 2001
From: alessandrozocca <alessandrozocca@users.noreply.github.com>
Date: Thu, 26 Oct 2023 09:15:55 +0000
Subject: [PATCH] deploy: 8147708b3dd21247944a96a6f74d7f8add346c2c

---
 ...8f1c678f6b79c309ce0f860aa4c38f4aaef9ac.png | Bin 0 -> 169975 bytes
 ...25fba90db593bf2b3e9099a1411083da0ae45.png} | Bin 51907 -> 51981 bytes
 ...80aaec3f291f99000ef78ecee2d067e4f236d8.png | Bin 170002 -> 0 bytes
 _sources/notebooks/04/power-network.ipynb     | 104 ++++-------
 notebooks/04/power-network.html               | 167 ++----------------
 searchindex.js                                |   2 +-
 6 files changed, 44 insertions(+), 229 deletions(-)
 create mode 100644 _images/88de9ea49f4f4698d96a59bf348f1c678f6b79c309ce0f860aa4c38f4aaef9ac.png
 rename _images/{703622920603465998e76e47a061edc99f9daa555973eb5683eca2c8e45e1f8f.png => e16fe7af2d2378b9d0385276d9f25fba90db593bf2b3e9099a1411083da0ae45.png} (68%)
 delete mode 100644 _images/f93897a96746e788ff558fe4d780aaec3f291f99000ef78ecee2d067e4f236d8.png

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diff --git a/_sources/notebooks/04/power-network.ipynb b/_sources/notebooks/04/power-network.ipynb
index 8495a8ad..0c2638ef 100644
--- a/_sources/notebooks/04/power-network.ipynb
+++ b/_sources/notebooks/04/power-network.ipynb
@@ -135,7 +135,7 @@
     "- $\\theta_i$ phase angles\n",
     "- $f_{ij}$ power flows\n",
     "\n",
-    "All the other quantities are instance-dependent parameters. Each of the 96 instances captures the network in a different moment in time, thus with different energy demand at each node and different realizations for the power produced by renewable energy sources."
+    "All the other quantities are instance-dependent parameters. Each instance captures the network in a different moment in time, thus with different energy demand at each node and different realizations for the power produced by renewable energy sources."
    ]
   },
   {
@@ -175,34 +175,7 @@
     },
     "id": "C98FtckVUESu"
    },
-   "outputs": [
-    {
-     "ename": "HTTPError",
-     "evalue": "HTTP Error 404: Not Found",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mHTTPError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[1;32m/Users/ale/My Drive/GitHub repositories/MO-book/notebooks/04/power-network.ipynb Cell 10\u001b[0m line \u001b[0;36m9\n\u001b[1;32m      <a href='vscode-notebook-cell:/Users/ale/My%20Drive/GitHub%20repositories/MO-book/notebooks/04/power-network.ipynb#X13sZmlsZQ%3D%3D?line=6'>7</a>\u001b[0m \u001b[39m# Download the data\u001b[39;00m\n\u001b[1;32m      <a href='vscode-notebook-cell:/Users/ale/My%20Drive/GitHub%20repositories/MO-book/notebooks/04/power-network.ipynb#X13sZmlsZQ%3D%3D?line=7'>8</a>\u001b[0m base_url \u001b[39m=\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mhttps://raw.githubusercontent.com/mobook/MO-book/main/notebooks/04/data/\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m----> <a href='vscode-notebook-cell:/Users/ale/My%20Drive/GitHub%20repositories/MO-book/notebooks/04/power-network.ipynb#X13sZmlsZQ%3D%3D?line=8'>9</a>\u001b[0m nodes_df \u001b[39m=\u001b[39m pd\u001b[39m.\u001b[39;49mread_csv(base_url \u001b[39m+\u001b[39;49m \u001b[39m\"\u001b[39;49m\u001b[39mnodes.csv\u001b[39;49m\u001b[39m\"\u001b[39;49m, index_col\u001b[39m=\u001b[39;49m\u001b[39m0\u001b[39;49m)\n\u001b[1;32m     <a href='vscode-notebook-cell:/Users/ale/My%20Drive/GitHub%20repositories/MO-book/notebooks/04/power-network.ipynb#X13sZmlsZQ%3D%3D?line=9'>10</a>\u001b[0m edges_df \u001b[39m=\u001b[39m pd\u001b[39m.\u001b[39mread_csv(base_url \u001b[39m+\u001b[39m \u001b[39m\"\u001b[39m\u001b[39medges.csv\u001b[39m\u001b[39m\"\u001b[39m, index_col\u001b[39m=\u001b[39m\u001b[39m0\u001b[39m)\n\u001b[1;32m     <a href='vscode-notebook-cell:/Users/ale/My%20Drive/GitHub%20repositories/MO-book/notebooks/04/power-network.ipynb#X13sZmlsZQ%3D%3D?line=11'>12</a>\u001b[0m \u001b[39m# Read all instances\u001b[39;00m\n",
-      "File \u001b[0;32m~/Library/Caches/pypoetry/virtualenvs/mo-book-rd3A6LPh-py3.10/lib/python3.10/site-packages/pandas/util/_decorators.py:211\u001b[0m, in \u001b[0;36mdeprecate_kwarg.<locals>._deprecate_kwarg.<locals>.wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    209\u001b[0m     \u001b[39melse\u001b[39;00m:\n\u001b[1;32m    210\u001b[0m         kwargs[new_arg_name] \u001b[39m=\u001b[39m new_arg_value\n\u001b[0;32m--> 211\u001b[0m \u001b[39mreturn\u001b[39;00m func(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n",
-      "File \u001b[0;32m~/Library/Caches/pypoetry/virtualenvs/mo-book-rd3A6LPh-py3.10/lib/python3.10/site-packages/pandas/util/_decorators.py:331\u001b[0m, in \u001b[0;36mdeprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    325\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mlen\u001b[39m(args) \u001b[39m>\u001b[39m num_allow_args:\n\u001b[1;32m    326\u001b[0m     warnings\u001b[39m.\u001b[39mwarn(\n\u001b[1;32m    327\u001b[0m         msg\u001b[39m.\u001b[39mformat(arguments\u001b[39m=\u001b[39m_format_argument_list(allow_args)),\n\u001b[1;32m    328\u001b[0m         \u001b[39mFutureWarning\u001b[39;00m,\n\u001b[1;32m    329\u001b[0m         stacklevel\u001b[39m=\u001b[39mfind_stack_level(),\n\u001b[1;32m    330\u001b[0m     )\n\u001b[0;32m--> 331\u001b[0m \u001b[39mreturn\u001b[39;00m func(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n",
-      "File \u001b[0;32m~/Library/Caches/pypoetry/virtualenvs/mo-book-rd3A6LPh-py3.10/lib/python3.10/site-packages/pandas/io/parsers/readers.py:950\u001b[0m, in \u001b[0;36mread_csv\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)\u001b[0m\n\u001b[1;32m    935\u001b[0m kwds_defaults \u001b[39m=\u001b[39m _refine_defaults_read(\n\u001b[1;32m    936\u001b[0m     dialect,\n\u001b[1;32m    937\u001b[0m     delimiter,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    946\u001b[0m     defaults\u001b[39m=\u001b[39m{\u001b[39m\"\u001b[39m\u001b[39mdelimiter\u001b[39m\u001b[39m\"\u001b[39m: \u001b[39m\"\u001b[39m\u001b[39m,\u001b[39m\u001b[39m\"\u001b[39m},\n\u001b[1;32m    947\u001b[0m )\n\u001b[1;32m    948\u001b[0m kwds\u001b[39m.\u001b[39mupdate(kwds_defaults)\n\u001b[0;32m--> 950\u001b[0m \u001b[39mreturn\u001b[39;00m _read(filepath_or_buffer, kwds)\n",
-      "File \u001b[0;32m~/Library/Caches/pypoetry/virtualenvs/mo-book-rd3A6LPh-py3.10/lib/python3.10/site-packages/pandas/io/parsers/readers.py:605\u001b[0m, in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m    602\u001b[0m _validate_names(kwds\u001b[39m.\u001b[39mget(\u001b[39m\"\u001b[39m\u001b[39mnames\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39mNone\u001b[39;00m))\n\u001b[1;32m    604\u001b[0m \u001b[39m# Create the parser.\u001b[39;00m\n\u001b[0;32m--> 605\u001b[0m parser \u001b[39m=\u001b[39m TextFileReader(filepath_or_buffer, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwds)\n\u001b[1;32m    607\u001b[0m \u001b[39mif\u001b[39;00m chunksize \u001b[39mor\u001b[39;00m iterator:\n\u001b[1;32m    608\u001b[0m     \u001b[39mreturn\u001b[39;00m parser\n",
-      "File \u001b[0;32m~/Library/Caches/pypoetry/virtualenvs/mo-book-rd3A6LPh-py3.10/lib/python3.10/site-packages/pandas/io/parsers/readers.py:1442\u001b[0m, in \u001b[0;36mTextFileReader.__init__\u001b[0;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[1;32m   1439\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39moptions[\u001b[39m\"\u001b[39m\u001b[39mhas_index_names\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m kwds[\u001b[39m\"\u001b[39m\u001b[39mhas_index_names\u001b[39m\u001b[39m\"\u001b[39m]\n\u001b[1;32m   1441\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mhandles: IOHandles \u001b[39m|\u001b[39m \u001b[39mNone\u001b[39;00m \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m-> 1442\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_engine \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_make_engine(f, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mengine)\n",
-      "File \u001b[0;32m~/Library/Caches/pypoetry/virtualenvs/mo-book-rd3A6LPh-py3.10/lib/python3.10/site-packages/pandas/io/parsers/readers.py:1735\u001b[0m, in \u001b[0;36mTextFileReader._make_engine\u001b[0;34m(self, f, engine)\u001b[0m\n\u001b[1;32m   1733\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39m\"\u001b[39m\u001b[39mb\u001b[39m\u001b[39m\"\u001b[39m \u001b[39mnot\u001b[39;00m \u001b[39min\u001b[39;00m mode:\n\u001b[1;32m   1734\u001b[0m         mode \u001b[39m+\u001b[39m\u001b[39m=\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mb\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m-> 1735\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mhandles \u001b[39m=\u001b[39m get_handle(\n\u001b[1;32m   1736\u001b[0m     f,\n\u001b[1;32m   1737\u001b[0m     mode,\n\u001b[1;32m   1738\u001b[0m     encoding\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49moptions\u001b[39m.\u001b[39;49mget(\u001b[39m\"\u001b[39;49m\u001b[39mencoding\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39mNone\u001b[39;49;00m),\n\u001b[1;32m   1739\u001b[0m     compression\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49moptions\u001b[39m.\u001b[39;49mget(\u001b[39m\"\u001b[39;49m\u001b[39mcompression\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39mNone\u001b[39;49;00m),\n\u001b[1;32m   1740\u001b[0m     memory_map\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49moptions\u001b[39m.\u001b[39;49mget(\u001b[39m\"\u001b[39;49m\u001b[39mmemory_map\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39mFalse\u001b[39;49;00m),\n\u001b[1;32m   1741\u001b[0m     is_text\u001b[39m=\u001b[39;49mis_text,\n\u001b[1;32m   1742\u001b[0m     errors\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49moptions\u001b[39m.\u001b[39;49mget(\u001b[39m\"\u001b[39;49m\u001b[39mencoding_errors\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39m\"\u001b[39;49m\u001b[39mstrict\u001b[39;49m\u001b[39m\"\u001b[39;49m),\n\u001b[1;32m   1743\u001b[0m     storage_options\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49moptions\u001b[39m.\u001b[39;49mget(\u001b[39m\"\u001b[39;49m\u001b[39mstorage_options\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39mNone\u001b[39;49;00m),\n\u001b[1;32m   1744\u001b[0m )\n\u001b[1;32m   1745\u001b[0m \u001b[39massert\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mhandles \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m   1746\u001b[0m f \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mhandles\u001b[39m.\u001b[39mhandle\n",
-      "File \u001b[0;32m~/Library/Caches/pypoetry/virtualenvs/mo-book-rd3A6LPh-py3.10/lib/python3.10/site-packages/pandas/io/common.py:713\u001b[0m, in \u001b[0;36mget_handle\u001b[0;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001b[0m\n\u001b[1;32m    710\u001b[0m     codecs\u001b[39m.\u001b[39mlookup_error(errors)\n\u001b[1;32m    712\u001b[0m \u001b[39m# open URLs\u001b[39;00m\n\u001b[0;32m--> 713\u001b[0m ioargs \u001b[39m=\u001b[39m _get_filepath_or_buffer(\n\u001b[1;32m    714\u001b[0m     path_or_buf,\n\u001b[1;32m    715\u001b[0m     encoding\u001b[39m=\u001b[39;49mencoding,\n\u001b[1;32m    716\u001b[0m     compression\u001b[39m=\u001b[39;49mcompression,\n\u001b[1;32m    717\u001b[0m     mode\u001b[39m=\u001b[39;49mmode,\n\u001b[1;32m    718\u001b[0m     storage_options\u001b[39m=\u001b[39;49mstorage_options,\n\u001b[1;32m    719\u001b[0m )\n\u001b[1;32m    721\u001b[0m handle \u001b[39m=\u001b[39m ioargs\u001b[39m.\u001b[39mfilepath_or_buffer\n\u001b[1;32m    722\u001b[0m handles: \u001b[39mlist\u001b[39m[BaseBuffer]\n",
-      "File \u001b[0;32m~/Library/Caches/pypoetry/virtualenvs/mo-book-rd3A6LPh-py3.10/lib/python3.10/site-packages/pandas/io/common.py:363\u001b[0m, in \u001b[0;36m_get_filepath_or_buffer\u001b[0;34m(filepath_or_buffer, encoding, compression, mode, storage_options)\u001b[0m\n\u001b[1;32m    361\u001b[0m \u001b[39m# assuming storage_options is to be interpreted as headers\u001b[39;00m\n\u001b[1;32m    362\u001b[0m req_info \u001b[39m=\u001b[39m urllib\u001b[39m.\u001b[39mrequest\u001b[39m.\u001b[39mRequest(filepath_or_buffer, headers\u001b[39m=\u001b[39mstorage_options)\n\u001b[0;32m--> 363\u001b[0m \u001b[39mwith\u001b[39;00m urlopen(req_info) \u001b[39mas\u001b[39;00m req:\n\u001b[1;32m    364\u001b[0m     content_encoding \u001b[39m=\u001b[39m req\u001b[39m.\u001b[39mheaders\u001b[39m.\u001b[39mget(\u001b[39m\"\u001b[39m\u001b[39mContent-Encoding\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39mNone\u001b[39;00m)\n\u001b[1;32m    365\u001b[0m     \u001b[39mif\u001b[39;00m content_encoding \u001b[39m==\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mgzip\u001b[39m\u001b[39m\"\u001b[39m:\n\u001b[1;32m    366\u001b[0m         \u001b[39m# Override compression based on Content-Encoding header\u001b[39;00m\n",
-      "File \u001b[0;32m~/Library/Caches/pypoetry/virtualenvs/mo-book-rd3A6LPh-py3.10/lib/python3.10/site-packages/pandas/io/common.py:265\u001b[0m, in \u001b[0;36murlopen\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    259\u001b[0m \u001b[39m\u001b[39m\u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m    260\u001b[0m \u001b[39mLazy-import wrapper for stdlib urlopen, as that imports a big chunk of\u001b[39;00m\n\u001b[1;32m    261\u001b[0m \u001b[39mthe stdlib.\u001b[39;00m\n\u001b[1;32m    262\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m    263\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39murllib\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mrequest\u001b[39;00m\n\u001b[0;32m--> 265\u001b[0m \u001b[39mreturn\u001b[39;00m urllib\u001b[39m.\u001b[39;49mrequest\u001b[39m.\u001b[39;49murlopen(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n",
-      "File \u001b[0;32m~/.pyenv/versions/3.10.10/lib/python3.10/urllib/request.py:216\u001b[0m, in \u001b[0;36murlopen\u001b[0;34m(url, data, timeout, cafile, capath, cadefault, context)\u001b[0m\n\u001b[1;32m    214\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m    215\u001b[0m     opener \u001b[39m=\u001b[39m _opener\n\u001b[0;32m--> 216\u001b[0m \u001b[39mreturn\u001b[39;00m opener\u001b[39m.\u001b[39;49mopen(url, data, timeout)\n",
-      "File \u001b[0;32m~/.pyenv/versions/3.10.10/lib/python3.10/urllib/request.py:525\u001b[0m, in \u001b[0;36mOpenerDirector.open\u001b[0;34m(self, fullurl, data, timeout)\u001b[0m\n\u001b[1;32m    523\u001b[0m \u001b[39mfor\u001b[39;00m processor \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_response\u001b[39m.\u001b[39mget(protocol, []):\n\u001b[1;32m    524\u001b[0m     meth \u001b[39m=\u001b[39m \u001b[39mgetattr\u001b[39m(processor, meth_name)\n\u001b[0;32m--> 525\u001b[0m     response \u001b[39m=\u001b[39m meth(req, response)\n\u001b[1;32m    527\u001b[0m \u001b[39mreturn\u001b[39;00m response\n",
-      "File \u001b[0;32m~/.pyenv/versions/3.10.10/lib/python3.10/urllib/request.py:634\u001b[0m, in \u001b[0;36mHTTPErrorProcessor.http_response\u001b[0;34m(self, request, response)\u001b[0m\n\u001b[1;32m    631\u001b[0m \u001b[39m# According to RFC 2616, \"2xx\" code indicates that the client's\u001b[39;00m\n\u001b[1;32m    632\u001b[0m \u001b[39m# request was successfully received, understood, and accepted.\u001b[39;00m\n\u001b[1;32m    633\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m (\u001b[39m200\u001b[39m \u001b[39m<\u001b[39m\u001b[39m=\u001b[39m code \u001b[39m<\u001b[39m \u001b[39m300\u001b[39m):\n\u001b[0;32m--> 634\u001b[0m     response \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mparent\u001b[39m.\u001b[39;49merror(\n\u001b[1;32m    635\u001b[0m         \u001b[39m'\u001b[39;49m\u001b[39mhttp\u001b[39;49m\u001b[39m'\u001b[39;49m, request, response, code, msg, hdrs)\n\u001b[1;32m    637\u001b[0m \u001b[39mreturn\u001b[39;00m response\n",
-      "File \u001b[0;32m~/.pyenv/versions/3.10.10/lib/python3.10/urllib/request.py:563\u001b[0m, in \u001b[0;36mOpenerDirector.error\u001b[0;34m(self, proto, *args)\u001b[0m\n\u001b[1;32m    561\u001b[0m \u001b[39mif\u001b[39;00m http_err:\n\u001b[1;32m    562\u001b[0m     args \u001b[39m=\u001b[39m (\u001b[39mdict\u001b[39m, \u001b[39m'\u001b[39m\u001b[39mdefault\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39mhttp_error_default\u001b[39m\u001b[39m'\u001b[39m) \u001b[39m+\u001b[39m orig_args\n\u001b[0;32m--> 563\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_call_chain(\u001b[39m*\u001b[39;49margs)\n",
-      "File \u001b[0;32m~/.pyenv/versions/3.10.10/lib/python3.10/urllib/request.py:496\u001b[0m, in \u001b[0;36mOpenerDirector._call_chain\u001b[0;34m(self, chain, kind, meth_name, *args)\u001b[0m\n\u001b[1;32m    494\u001b[0m \u001b[39mfor\u001b[39;00m handler \u001b[39min\u001b[39;00m handlers:\n\u001b[1;32m    495\u001b[0m     func \u001b[39m=\u001b[39m \u001b[39mgetattr\u001b[39m(handler, meth_name)\n\u001b[0;32m--> 496\u001b[0m     result \u001b[39m=\u001b[39m func(\u001b[39m*\u001b[39;49margs)\n\u001b[1;32m    497\u001b[0m     \u001b[39mif\u001b[39;00m result \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m    498\u001b[0m         \u001b[39mreturn\u001b[39;00m result\n",
-      "File \u001b[0;32m~/.pyenv/versions/3.10.10/lib/python3.10/urllib/request.py:643\u001b[0m, in \u001b[0;36mHTTPDefaultErrorHandler.http_error_default\u001b[0;34m(self, req, fp, code, msg, hdrs)\u001b[0m\n\u001b[1;32m    642\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mhttp_error_default\u001b[39m(\u001b[39mself\u001b[39m, req, fp, code, msg, hdrs):\n\u001b[0;32m--> 643\u001b[0m     \u001b[39mraise\u001b[39;00m HTTPError(req\u001b[39m.\u001b[39mfull_url, code, msg, hdrs, fp)\n",
-      "\u001b[0;31mHTTPError\u001b[0m: HTTP Error 404: Not Found"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import numpy as np\n",
     "import pandas as pd\n",
@@ -239,7 +212,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2022-03-23T18:11:17.649979Z",
@@ -290,7 +263,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2022-03-23T18:11:17.651737Z",
@@ -306,7 +279,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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888+z6rmzZs2Ck5NTt8aSy+U4fPgwC2xXrFiBlJSUNhWPPTw8sHTpUowZM0anRavuprKyEq+88grkcjlEIhE+/PBDuLm59dnzd9amTZvw119/AWitZDx16tQuraTn5eXh/PnzLEX7qaeewvTp03tlroR0BgW2hBBCCCGk1x0+fBg7d+4EAFhYWGD27NldTlvleR7nzp1DXl4eAMDS0rLNXtYhQ4Zg6dKliIyM1FnP3K7au3cv9u/fD6B1Rfm1117r0+C6MyQSCdauXct+lkKhECEhIQgMDNRYgb6TVCrF1atX2b5aAJgwYQKeffbZAfcayb2FAltCCCGEENLrlEol3n33Xbb31crKClOmTOl0b1u5XI6kpCTk5uZqvd/BwQGLFy/GxIkTWcue/tLS0oJXXnmFFbh6+eWXB2SF5MbGRnz00Ue4ffs2u83Q0BA+Pj5wcnKCjY0NDAwMIJPJUFNTg9LSUhQUFGhUgJ40aRJWrlzZ7z9zQiiwJYQQQgghOtPY2AipVAqRSARra2sYGPz/ki7V1dX473//ywI+kUiE0NBQDBs2rN1VQp7nUVxcjEuXLkEsFre538bGBosWLcKUKVM6XGnsaxcuXMCXX34JoLUy9EcffTSg5qcil8uxf/9+HD58uE0F6Y6YmZnhsccew8SJE2mllgwIFNgSQgghhJBuk8lkSEpKQlJSEnJyclBXV8fuMzAwgKenJwIDAzF16lS4uLigoqIC69evR2lpKTvO0NAQnp6esLe3h5WVFYRCISQSCWpqalBYWKi1dY6FhQUWLlyIGTNmwNjYuC9eapfwPI+1a9eyYlbLli3DwoUL+3lWmhoaGpCZmYnw8HAUFxfj+PHjOH/+PORyebuPUa20z5w5E7a2tn04W0I6RoEtIYQQQgjpMo7jcOLECRw8eLDTPVvDwsLw+OOPw9raGrt27cKJEye6/LzGxsZYsGABZs+ePeBa6dypoKAAb7zxBnieh7GxMT799NMBEQxyHIfTp0/j559/BsdxCAkJwRtvvAEAaGpqQmZmJnJzc1FeXg6FQgFjY2O4ubnB19cX/v7+A3LlmRAKbAkhhBBCSJdUV1fj66+/RkZGhsbtRkZGsLW1hYmJCTiOQ319PRoaGjSOMTY2xmOPPYYpU6YgPz8fJ0+eREJCAlpaWjp8TgMDA8yZMwcLFiyAhYWFzl9Tb9m6dStOnToFoLXI0nPPPdev88nLy8OPP/6o0efXwcGBpU0Toq8osCWEEEIIIZ1WUVGBtWvXoqqqit3m7e2N4cOHw9HRsc1+y5aWFty+fRvp6emQSCTs9gcffBCLFi1ix5w8eZJVTb6TUCjE2rVr4e3trfPX09saGxvx0ksvsfZE//3vfzFs2LA+n4dEIsGePXtw8uRJ3Pn1PyIiAi+++GKfz4kQXeqfGuiEEEIIIUTvSCQSfPDBByyoNTc3x8yZMzFx4kQ4OTlpLSJkbGyMoKAgLFy4EEOHDmW37969G3FxcQBaU2N3797d7vNyHMd6ruobS0tLPPjgg+z6tm3bulSkSRcaGhrwxhtv4MSJE22CWgBwdXXt0/kQ0hsosCWEEEIIIZ2yY8cOlJeXAwCsra0xZ84cODs7d+qxhoaGiIyMxKhRo9htP//8MyorK1FRUQGlUtnh4+vr67s/8X42depUeHh4AAByc3Nx9uzZPn3+wsJCVFZWtnv/QNj3S0hPUWBLCCGEEELuKjMzE2fOnAHQut91ypQpMDU17fI4wcHB8Pf3BwA0Nzfj559/hpeXF6ZNmwY3NzeEhYXBycmJHR8ZGYlFixbhkUce0c0L6QcikQiPP/44u75r1y6WmtwXAgMDERMT0+791tbWfTYXQnoLBbaEEEIIIeSu1CsYh4eHw9LSsttjjR49mgXFV69eRXl5OZ5++mls2LABr776KsaNG8eOnTJlCh588EHY2dl1f/IDQFBQEHtdDQ0N2L9/f589t1AoxDPPPNPu3l4bG5s+mwshvYUCW0IIIYQQ0qHGxkZcvHgRQOueWfW9st1hZGSEgIAAAK39XlUrwSrqQWxNTU2PnmsgWb58OYyMjAAAJ0+eRHFxcZ8995UrV5CZmQmg9ecvFLaGASKRqNPp5IQMZBTYEkIIIYSQDmVlZbE9sD4+PhCJRD0e08/Pj12+s22Q+p7P2traHj/XQOHg4IAFCxYAAJRKJX7++WetxZx0rbm5GT/99BO7vnLlSqxbtw4zZszA6tWrKRWZDAoU2BJCCCGEkA7l5eWxy46OjjoZ09TUlPWjzc/P16gUPFhXbAFgwYIFcHBwAACkpKTgypUrvf6ce/bsQXV1NQAgJCQE0dHR8PT0xJNPPonx48f3+vMT0hcosCWEEEIIIR1S71lrZWWls3FVK4UtLS0Qi8Xs9sG6Ygu0pgEvX76cXf/ll18gk8l67flycnJw/PhxAK2VqZ966imtbZkI0XcU2BJCCCGEkA6pr6bqIg1ZRT3AUm/3Y2Njw+4bbCu2ABAREYGgoCAAQEVFBf74449eeR6lUokffviBpTsvXryY9tOSQYsCW0IIIYQQ0iH1tj5SqVRn47a0tGh9DpFIxFZzy8rK8PXXX2Pt2rW4du2azp67PwkEAjz22GMseD906BAqKipw6tQpbN68WSdFpWQyGX799VeWRm5nZ4fw8HCNkxSEDCYG/T0BQgghhBAysHl6erLLNTU1GDJkSI/H5DiOrcY6OTnBxMQEWVlZ2L9/P2pra1FfXw+gNZA+f/48gNYiSOHh4T1+7oHA09MTM2bMwMmTJ9HS0oI33niDnTSQSqX45z//2eUxFQoFLl26hNjYWGRkZGgEsTU1NXj99ddhYmKCUaNGYcaMGRg2bBilJZNBgwJbQgghhBDSIXNzc3a5qKiIpdH2RFlZGUs/9vX1BQCsXbsWcrm83cfY29v3+HkHksmTJyM2NhZKpVJjJbyysrLLY6WmpuK7776762Obm5uRkJCAhIQEBAcH45lnntFZQTBC+hMFtoQQQgghpA2FQoErV67g1KlTSEtLY7eXl5ejtrZWo8BTd6i3+ImMjATQ2iO3o8C2oKAAe/fuRXBwMPz8/FhPWH104cIFbNq0SWNvsUpTU1Onx+E4Djt37sTRo0c1bre0tISjoyNsbGxgYGCAlpYW1NbWoqysjBWrSk1NxauvvopVq1ax3wEh+krA90XzLEIIIYQQohdqa2tx5swZxMbGtluR2MnJCTNnzux2GmtRURHOnDkDoLUC8pdffgmRSISqqiqsXbsWFRUVdx3D0NAQQ4cORWBgIIKCgvQu0H3vvffa9O9VMTc3x/fff3/XMXiex/fff4+4uDh2m5OTE0JDQ+Hs7Kz196NUKpGfn4/r16+zAFogEODZZ5/FhAkTuvdiCMPzPMrLy5Gbm4vKykoolUqYmJjAw8MD3t7erMUV0T0KbAkhhBBC7nE8z+PWrVs4efIkLl261GYV0cXFBZMnT8bp06dZ65/Q0FCMHDmyy8/V1NSEY8eOsdTbZ555BjExMex+mUyGb775BhcvXtR4nEAgQEdfW1WBblBQEAIDA+Hv7w9DQ8Muz6+vXLlyBV999ZXWVj8CgQDbt2+HUNhxndcjR47g119/ZY8ZPXo0AgICOnXCQSaT4eLFi8jNzQUACIVCvPvuu/Dz8+vGqyH19fX4888/8eeff7KewdqMGDECM2bMwOjRo+/6+yVdQ4EtIYQQQsg9qrm5GefPn8fJkydRWFiocZ8qUJoxYwaCg4MhFAqRlpaGtWvXsmNGjhyJkJCQTn9BV335V/WsDQ0NxauvvtomEOM4Dhs3bsSFCxfYbREREVi+fDnS09ORnp6OtLS0DveT6kOgW1ZWhh9++EEj1Vvl+++/19jbfKfi4mL8+9//ZqnbEydOhLe3d5een+d5XLx4EZmZmQAANzc3vP/++3q18t3fOI5DbGwsfv31V40q33fj4+OD1atXw8PDoxdnd2+hwJYQQggh5B5TXFyM06dPIz4+vk37HisrK0yZMgXTpk2Dg4NDm8cePnwYO3fuZNednJwwduxY2NnZtft8crkct27dQnJyMqvUO2TIELzzzjusrY+2Of7rX/9i11988UVERERoHFNZWdmlQHfYsGEaqcsDIdDlOA5//vknfv31VzQ3N7PbP/300w6rT2/YsIG1PwoMDMSYMWO6/fzHjh1jFapXrFiBuXPndmuse01zczO++OILJCcns9sEAgFcXFzg6OgIa2trCIVCtLS0oKamBiUlJWhsbGTHGhgY4KmnntLIWCDdR4EtIYQQQsg9QKlU4urVqzh58iRSU1Pb3D906FDMmDED48aNu2vAd2dwCwCOjo5wc3ODvb09TExMoFQq0dDQgMrKSuTl5WkUhbK0tMSHH37YbgGqsrIy5OTkYOPGjQAACwsLeHt7w9jYGCtWrICzs7PWx6kC3bS0NKSnp3cp0PX394eBQf/VVa2ursaHH36I4uJiiEQi/PDDDzA2NgYAiMVi5ObmoqKiAgqFAs3Nzdi1axcAwMzMDPfdd1+P5l5TU8OKTw0ZMgQff/wxpcneRUtLC9avX6+xT3ro0KEYMWJEu/toeZ5HSUkJrly5wtpZAcDf/vY3TJ06tdfnPNhRYEsIIYQQMojV19ezYlB37v0zMjJCdHQ0Zs6c2eU01vT0dHz77bedKvSkzb/+9S+tPWnPnj2Lb7/9tt3HzZkzB48++minnqMrga6RkVGb1OW+DnR5nkdqairc3NxgamqKxMREnD59mu2D1cbS0hJjxoyBq6trj4LRU6dOoaysDADwzjvvYPjw4e0eW15eDqlU2uX3zGDy3XffsaJdRkZGmDhxIlxdXTv1WKVSiStXruDWrVsAWld53333Xfj7+/fWdO8JFNgSQgghhAwyPM8jKysLJ0+eRFJSUptiUM7Ozpg+fTomT57coyqtLS0tOHv2LE6fPo2ioqJ2j1MF0HZ2dti/fz+A1mrI69evR3Z2NpKTkzF16lR4eHhgx44dbVrXqHv66acxbdq0bs23srKSBblpaWmsEFZ7c1YFuqrU5b4KdK9evYoffvgBdXV1nX6Mvb09oqKiut2GKSsri+1pXr58OebNm6dxP8/zuHnzJo4ePYobN24A0J4efi9ITk7G+vXrAbSmE8+cObPLPZZ5nseVK1eQnp4OAHB1dcW6detof3MPUGBLCCGEEDJItLS0ICEhASdPnkR+fr7GfQKBAOHh4ZgxY0aXCj51hirFMicnBwUFBZBKpRCJRHBwcICvry98fX1hamoKnuexfv16Fhg5OTmxFd9hw4bhv//9LyorK/Hqq69qLcRjaGiIb775psOiSl2hCnRVwe7dAt1hw4axFd3eCHQ5jsNPP/2E06dPa9xua2sLJycn2NraQiQSQSaToaamBqWlpZBIJOw4oVCIiIgIDB06tMvPrZ6OHB0djeeffx5Aaz/jhIQE/PHHHygoKNB4zH333YeHHnqoy8+lz3iex+uvv86KrY0bNw7Dhg3r1lgcx+H48eMsk+KJJ57AzJkzdTbXe03/bSQghBBCCCE6UVpaitOnT+Ps2bMagQ7Quj91ypQpmD59OhwdHXvl+QUCAdzc3ODm5nbX41auXImXX34ZMplMI425oKAAPM/D0dERDz74ILZv397m8WPHjtVZUAu07guePHkyJk+eDKA10E1NTWUruuqp2zKZDDdv3sTNmzcB6D7Q5TgOmzZtwvnz59ltrq6uCA0N1VrES/WY4uJiXLt2DfX19eA4DhcuXIBSqURAQECXnl995V5V4Ojw4cPYs2cPFAqF1sdkZ2fj6NGjMDIygrGxsca/O28zMjKCkZGR3u/dzcjIYEGtg4NDt04iqAiFQkRGRrITCqdOncKMGTO63R/6XkeBLSGEEEKIHuI4DteuXcPJkyeRkpLS5n4/Pz/MmDEDkZGRAya9UaFQYM+ePVp7tzY3N6OxsRFWVlaYNWsWzp8/j5ycHI1jJk2a1Kvzc3R0RExMDGJiYsDzfJvU5Y4CXWNjY41iVL6+vl0KdH///XcW1KpWXv39/TsMcoRCITw8PODq6oqrV6+yQkaXLl2CtbU1XFxcuvNjYM+5b9++doNaAEhNTdVaiKwj2gLejq5ru72jY3o7XVz9xENnewZ3xM7OjmUuFBcXIz8//57eu9wTFNgSQgghhOiRhoYGxMXF4fTp021SZw0NDREVFYWZM2fC19e3n2bYvtjYWMTHx7d7f1VVFaysrCAUCrFy5Ur8+9//hmrXnLm5OUaMGNFXU4VAIICTkxOcnJxYoFtRUcGC3LS0NNYiB2hNA09JSWEnGboS6BYWFmLfvn3seSdNmtSl/qYikQhjx46FgYEBC7QTExOxYMGCTrc0UvUWBloLUgFASEgIrly50ul5dIZMJoNMJtNoe6NLIpFII9A1MTHpMCjuTCCtPtbt27cBtP6e3N3ddTJnT09Plr1w+/ZtCmy7iQJbQgghhJABjud53L59GydPnsSFCxfarKI5Ojpi+vTpiImJYUHJQOTi4gKBQID2SrxUVFSwgNzLywvjxo1jBY2GDh3ar2msAoEAzs7OcHZ27lGgq0pdVg90f/31V1bgKygoqEtBrbqwsDBUVlaivLwcTU1NyMjIQEhISKceq74arQqsXn75ZWRmZmLHjh3Iyspq85i5c+fC398fMpkMLS0t7J9MJkNzc7PW2++83Nzc3O77oTuUSiUkEkmblHxds7Ky0lkfZPUe0HfujSedR4EtIYQQQkgnqdJTq6urwXEczM3N4erq2mupvjKZDAkJCTh16lSbli8CgQAjR47EzJkzERoaqhd7F0eOHIn//Oc/+OWXX9qkGQNoU1n5mWeeQVlZGSQSCZ566qm+mmantBfoqqcudybQ9fDwYMW0zM3NERoa2qM5RUZG4vfffwfP88jMzERwcHCn3hvq7y/1tjOqol6XL1/Gzp07WUsgAAgMDMTo0aO7PV+g9TOlUCjaDX6bm5vbDYrbu37nbeo9lHXFzMysV8ZSXzknXUOBLSGEEEJIBziOQ3JyMv7880/cunWrzRdPkUgEDw8PREZGIiYmBlZWVp0ed+/evcjLy8OTTz6pUdipvLwcp0+fRlxcHJqamjQeZ25ujpiYGEyfPh3Ozs49f4F9LCAgAO+99x7OnTuHXbt2oba2lt2XkpKCpUuXsusmJiZYt25df0yzy9QD3SlTpmgEuqpgt6NAF2gNIkUiUY/mYWVlBTc3NxQVFUEikaC8vPyue21rampQXl4OABgyZEibgkgCgQBjx45FeHg4/vzzTxw7dgwWFhYIDg7u0VxVYxsaGsLQ0LBHrac6wnGc1uC3vUC6vcBZIpGw3rO6XGVWH0sfTlANVBTYEkIIIYS0IzU1FVu2bNFYpbqTUqlEXl4e8vLysHfvXsybNw+LFy++a5rizp07WTXUn376CS+//DKSk5Nx8uRJ3Lhxo80XZx8fH8yYMQPR0dEDphhUdwmFQkyaNAkRERHYs2cPjh07BgAaKbhFRUW4fPkycnNzUVhYiObmZhgYGMDJyQk+Pj4IDg7GyJEjB2wgoNqjC7TufTY1NUV6ejpKSkraDYq8vLx08txeXl5s9buqqqrDwJbjOCQmJrLrM2bMaPdnqurZqm8taYRCIUxMTGBiYtKjcTiOw9/+9jdW6ExX1MeysbHR2bj3GgpsCSGEEELuwHEcduzYwQIuFWNjYzg4OLACR1KpFDU1NairqwPQWvX30KFDuHLlCl588UW4urpqHf/UqVMsqAWAa9eu4YUXXtBY0QNaA4nIyEjMnDkTfn5+g64NiImJCR599FHMmjULJSUlCA0NRVpaGvbv34+0tDStj6mqqkJaWhqOHj0KR0dHzJ49GzNnzuzxSqcuNDc3IycnB9nZ2cjKykJWVhYaGho69VgjIyOdrVja29uzy3e+p9TxPI+LFy+yY9zd3TF9+nSdzGEwKi4uhqWlJZqbm9HU1ASpVApTU9Mej6teBG4gFn3TFxTYEkIIIYSo4TgOX3/9tcYqlqOjI0aMGAFXV1etq1mNjY24desWbt26BY7jUFRUhPfeew9vvfVWm8qp165dw08//dRmDPUAxMHBgRWD6mxqsz5zcnKClZUVtm7ditOnT7e5X2RkDEMzcyjlMsib/n8qeGVlJbZv346EhASsXr36rn10dUmVaqwKYLOyslBQUACO49p9jKrf79ChQ9m/N954AwqFAubm5jo7caHe67elpUXrMTKZDElJScjLywPQmlK/evVqnRVEGizKysqQmJiIxMTENnvAc3JyepyOzfO8xv7mnvTFvddRYEsIIYQQombXrl0sqBUKhRg1atRd+1VaWlpizJgx8PPzw7lz51BXV4eGhgZ8+OGH+PDDD9lKXFZWFj7//PN2U1GDg4Mxe/ZshIeHD9gU294gFovx0UcfITs7m91m7uwCr4nT4RQ0EuZOLhD838+jub4OtTmZKEg4g8q0G8D/VYx+++238dprr2HYsGF3fT6e5yGTyWBsbNzpOapWY1VBbHZ29l1XY83MzFgA6+/vD39//zZFh3pjFV79/XXn+AqFAvn5+bh+/TqrHCwQCLB69WpaLfw/1dXVuHDhAhITE7UWOVO5desWhg8f3qPeuYWFhSwVecSIERp77UnXUGBLCCGEEPJ/MjMzceTIEQCtQe3kyZO71KvS1tYWs2bNwqlTp1BTU4Oamhr88ssvWL16NSQSCd577z3W1kWbiRMn9rjKrL6Ry+XYsGEDC2pFRsYIWLQM3pNmsGBWnYm1DVzCI+ASHoHanExc//lbNFWUQiqVYv369XjnnXfg6enZ7vMVFxfjq6++QklJCf7+979j7NixbY7heR7l5eUsgO3uaqyLi8tdT1BYW1ujqqoKYrEYPM/rJNBV37PZ0tKCjIwMtLS0oKamBhUVFZDJZOx+ExMTrF69GhERET1+Xn3W0NCApKQkJCYmIiMjQ+sxw4YNQ1RUFC5fvozU1FQ0NTXh2rVrWt9DndHS0oKLFy+y6/q2d3mgocCWEEIIIQStwczWrVvZaldYWFiXgloVIyMjxMTE4PDhw5DL5YiPj8fUqVNhYGDQYVALtKYpT5o0qVvz11f79+9nPVKNLK0Q+fd/w8q9/cBUna3vMEx8431c/vYzVGWkQCqV4ptvvsHatWu1rqJdu3YNGzduhFQqBdC613ns2LHdWo01NzeHv78/C2L9/Py61QLGx8cHVVVVkMvlaGhogLW1dZfHuJN6T9ra2lpcunRJ63EhISH429/+ds+uEjY1NeHSpUtITExEamqq1hMX3t7eiIqKQlRUFBwcHAC0/tzeeOMNyOVyZGRkwNbWVqNFUmcoFAqcPXuWvRfDw8PvuZNaukaBLSGEEEIIWtMK8/PzAQB2dnYIDAzs9ljm5uYYNWoUkpKSAAAnT57E888/j6lTpyI1NRXGxsbgOA5NTU0Qi8WQy+UQiUQYOXKkTl6LvsjPz8fhw4cBAAKRCBFrXu10UKtiYGyCsatfwrkN76CxuAAFBQX4/fffsXjxYnYMz/P4/fffsXv3bo003fT0dLz++usoKiq662qsu7u7RiDbmdXYzvD392eBZ05ODsLDw3s85p09j9WZmppi9OjRmDFjBvz9/QddQbK7aW5uxtWrV5GYmIjk5GQoFIo2x7i6uiI6OhpRUVFaK0q7urpi2bJl2L59OwAgMTERYrEYISEhnSpi1tDQgPPnz7OiURYWFnj66afvud+FrlFgSwghhBACIC4ujl0ODAzscdDi5+eH69evo6WlBUlJSXjyySfxt7/9TeuxqtRQfW/j01VHjx5lAeXQOffDxrN7ezxFRsYIe2w1zq3/D3hOiePHj2P+/PkwMjKCRCLBp59+qrXKslKpREFBQZvbdbUa2xkTJkzA7t27oVQqkZWVheDg4B69D6qrq1lPWgcHBzz88MNQKpUwNjaGu7s7nJ2d76n920BruntycjISExNx9epVrQW1HB0dERUVhejoaHh4eNw1yJw9ezaqqqpY5fSUlBQUFhZixIgR8PT01BrgNjU1ITMzE+np6Sx7w9TUFK+++irs7Ox08ErvbRTYEkIIIYSgdX8t0Lq3trv9RBUKBWpra9HY2AilUglbW1uUlZVBqVQiNzcXI0aM0Pq4ey2gBVr3gV64cAEAYGhmDr/p83s0nrWHN1xHR6L40nmIxWIkJSVh4sSJeP311zXaqWjj4eGhsTd2yJAhfRb82draIiIiAomJiWhpacGVK1cQFRXVrbGUSqVGNe958+YhKioKcrkcAoGgR0WO9I1SqURaWhoSEhJw6dIlVihLnY2NDSIjIxEdHd3ldloCgQArVqyApaUl9u3bB6VSibq6Opw7dw6Ghoawt7eHtbU1RCIRmpubUVNTg/r6eo2MAWdnZ/zjH/+At7e3Ll7yPe/eeXcTQgghhLRDIpGgrKwMQGug0ZWeqBzHobCwELdu3UJFRUW7FY+3bduGFStWICQk5J5bMdMmLS2NpYG6R06CSAfBvefEaSi+dB4AkJycjIkTJ6K+vr7Dx4wfPx5r1qzp8XP3xLJly3D9+nVIpVJkZ2fD3t6+U9Wd1XEchwsXLqC2thYA4OnpiWnTpmHz5s2Ij48H0NrSx8TERONfREQEFixYoPPX1B84jkNmZiYSExORlJSkdZ+0hYUFIiIiEBUV1ePMDIFAgEWLFiEsLAzfffcda50kl8tRVlbG/qbcSSQSYfr06XjooYdgYmLS7ecnmiiwJYQQQgYRjuNQVlaG3NxcVFdXg+M4mJqawtPTE97e3jA1Ne3vKQ5I6sFPV/rGVlRUICEhQaMKbXuKi4uxfv16+Pr6YvXq1d0qTDWYqO8DtR/a/f3M6my9/SE0MACnULDx//GPf2D37t2orq5GU1NTm8cUFxfr5Ll7wtHREStWrMD3338PAEhKSoJEIun0ns3m5mZcuHABhYWFAAADAwOsXr0aBgYGuHHjBjtOqVSiqalJ4+dw+/ZtTJgwAba2tjp+VX1D1QdW1WtWvR+0impfcXR0NEaMGKHzlWtvb2+8//77yMjIQGxsLNLT09kJBhWhUAgPDw+MHTsWU6dOhY2NjU7nQCiwJYQQQgaF6upqxMbGIi4uDnV1dVqPEQgECAsLw8yZM2nV8A4d9f1s7/jk5GSkpKRo3G5paQknJyfY2NjA0NAQMpkMNTU1KC8vZ9VPc3Jy8O9//xuPP/44pk2bptsXokdKS0vZZSu3rhWMao/QwAAWQ9zQUJSPsrIy8DyPUaNGYdSoUeD/r9/tH3/8gZSUFBbcicVinTx3T8XExKCsrIwV00pJSUFRURFCQkLg4eGh9fMqk8mQk5ODGzdusH2jQqEQzz//PEtvvf/++7F169Z2n9fR0bFLlZibm5tx8eJFZGZmIi8vj/29sbCwgLe3N/z8/DBu3LgunSDqjqKiIhbMalsZNTQ0RHh4OKKjoxEWFtbr6f4CgQCBgYGs6FxtbS0qKyuhVCphamoKV1fXe3LLQV+iwJYQQgjRYxzH4ejRo9i7dy/kcnmHx/I8j2vXruHatWsIDAzEM888A2dn5z6a6cBmYWHBLmtb1VPH8zwuX76s0evS0dERoaGhGDJkiNbAmOM4FBUV4dq1a2hoaIBCocCWLVsgk8kwZ84c3b2QAYbjODQ0NKC2tlbjX11dHWvxAwAGOkzHNDBuHYvneSiVSgiFQpw4cQIXL15EVlZWm+rHA+UEj0AgwLJly2Bubo49e/ZAqVSitrYW8fHxMDY2hqOjI2xsbGBgYACZTIbq6mpUVVVptJCysLDAs88+q1FZecaMGcjJycHZs2e1Pu+IESPaTZ9X19jYiP379yM+Pp6dpFFXU1ODgoICxMfHY/v27YiMjMQDDzzQ6VZCPM8jPz8fDg4OGp9HdeXl5bhw4QISEhLY6rQ6VWXxqKgojB49ul8zVGxtbfV2FVxfCfjOvJMJIYQQMuCIxWJ88sknuHXrFrtNIBDA1dUVjo6OsLKyglAohFQqRU1NDYqLizUKqBgbG+O5557D2LFj+2P6A86aNWtQW1sLQ0NDPPTQQ+2u3GZmZrI2PkBr/8mgoKBOBUhKpRJXr17VCIpfe+01hIaG9vwF9CGO49DY2MiC1DuDVtXl+vr6DtvoqEx59zOYO+rmJMvZ919HY3EBBAIBfvnlF3z22We4fPlyu8fb2Nhg5syZsLOzg52dHWxtbWFnZ9evQVFeXh6+/fZb1n6qM8aOHYsnn3xSa4qrRCLpsIiWu7s7li9f3u778MqVK/jhhx+07ldW/Zyam5vbBMjGxsZYvnw5pk2b1mEmBMdx+Pbbb/HXX3/B0dER69evZ3tPa2trceHCBSQmJiI7O7vNYwUCAYKCghAVFYWxY8fC0tKy3echgxsFtoQQQogekkgkWLt2LStWAgABAQEIDg5uty2JatXw8uXLbFVSIBDghRdewLhx4/pi2gPap59+ygKg6dOna+1fKRaLcfjwYVb0KCoqCv7+/l1+ruTkZLb30c7ODh999FGH7WR4nkdJSQns7e17tdgMz/MQi8VaA1X1gLWurk5jpbCnRq98ES7hET0eRymX4/hLT4FXKuHm5oYNGzbg3Xff1Tj501mmpqYs2FUFvPb29izwtbOzg6WlpU57j5aXl+PQoUOYMmUK/Pz8kJqaitOnTyM1NVVrVV9bW1uMGjUKM2bMgKdnx+ncqampeP/99zs8JiQkBMuXL9cY69ixY6xfK9C6Kurj4wNfX1/Y2dnB0NAQANgKc35+PrKzs1kLKwCYOXMmHn/88XazGb7//nuNFeW//e1v4HkeiYmJSE9P17qiPHToUERFRWHcuHG0MkoAUGBLCCGE6B2e5/H555/j0qVLAAATExNMnjwZTk5OnXq8XC5HUlISK65jaGiIdevWwc3NrdfmrA+SkpLwxRdfAADc3NwwderUNsf89ddf7GSCv79/t9uy8DyP06dPs72BixYtwoMPPqj12PLycvz4449ISUmBs7MzNmzY0OXiNzzPo6mpqU1wqi1FWBW094RAIIC1tTVLxzQ2NmaZA6WlpW3S5r0mz0DIQ0/2+HmrMm7iwpfrALT2h33uuecgkUjw8ccfa6yS64qhoSFsbGzaBLzqgbC1tfVdf18cxyE2Nhbbtm0Dx3EwNDTEtm3bNO6vqKhAeXk5FAoFjI2N4ebm1uWAbtu2bThx4gQAIDIyEjNnzsSOHTtw+/ZtdoxAIEBMTAweeOABXLt2jRW0Alo/F5GRkXft6SuTyXD16lWNdPMFCxbg4Ycf1jiO53ls2bIFf/75Z6fm7+XlhaioKERFRXU6xZncOyiwJYQQQvRMQkICNm7cCKC1/+ns2bO7VPwFaP1CmZCQgJycHACtQdo777zTpTY3g41CocALL7zAiuFMnjxZY+VKKpVi//794DgOxsbGWLRoUY+KwYjFYhw8eBA8z8PKygobN27UCIAUCgWOHTuGffv2aax+rV+/Hh4eHgBaf49SqVTriuqdQevd9mB3lpWVFQtYVf9sbGw0rpuYmCAzMxPJyclITk7WKBSljYGJKaav+7rHe22vfP85Sq9dBAD8/e9/1zjxkJaWhh9++KFNoaE5c+YgICAANTU17F9tbS2qq6tRW1ur8bPvDlWQ397Kr1wux8GDB1kfZdVjduzY0aPn1aalpQVbt26FWCzGypUrYW1tzdoE/fbbbxqpykZGRlAqlWxlfuTIkRg5cmSXVqhzcnKQkJDAVlzffPNNBAcHA2h97/7444+IjY3tcAwXFxcWzN7rJ99IxyiwJYQQQvSIUqnEiy++iOrqagDApEmT4OXl1a2xFAoFjh49yno9Pv/884iOjtbZXPXNpUuX8M0337DqssbGxpg1axY7aZCens5SlYODgzFq1KgeP2d8fDzbR/nyyy9j9OjRAFpbsHz33XdaC+SoV12tra1l8+0pCwuLNgHrnUFre6uPPM+jrKwM169fx40bN5CWltZuIG1lZYXQ0FCEhobi+vXrOHfuHADAb+YCBC56WOtjOqM2JxPnP3kX4HlYW1vjq6++ajNXmUyG/fv348iRI2zv7yuvvNLu71K10q0t4FUPhO9WcKyrjIyMMH/+/DaBsIWFhU5Tn9XJZDIcP34chw4dalMcatiwYd3erqD+uXFwcMDHH38MIyMjbNiwAdeuXWv3caGhoXjooYfg5eXVa6+ZDC5UFZkQQgjRI1evXmVBraura7eDWqC112VERAROnz4NADh9+vQ9Gdg2Nzdj+/btOHPmjMbtLS0tOHXqFCZNmgQnJyeN1SxVK5We8vb2ZoFtdnY2Ro8ejc2bNyM+Pr7dx6Snp3fpOczNzdtdWVVdV7Un6orm5makpqbixo0buH79OiorK7UeJxQKMXToUBbMenl5sUJbXl5euHDhAhQKBW6fOgKnEeGw9w/o0jwAQC6V4PrP3wL/t14zb948rQG4kZERli1bhsjISBw4cABmZmYdFu4SCASwsLCAhYVFh3tYW1paWODb3spvXV1dp6oPA/8/AL+ToaGhRoGrO/+pfpfdybwwMjLCwoULMXnyZPz4449sq4OFhUWPTuIEBASgsLAQ5eXlqKqqwoULFzBx4kRcv369w8fxPK+zzxm5N1BgSwghhOiR8+fPs8sBAV0PAO40ZMgQWFtbo76+HhkZGaisrLyn9q5lZ2fj66+/Rnl5ObstPDwclZWVKCoqglQqxYkTJxAQEMACW6FQqLXybHfY29uzy6q9uxcuXOjUY83MzDoMVFW36ap3Js/zKCoqYunFt27danc/rp2dHUaOHImwsDAEBwfD3Nxc63Fubm5YvHgxdu/eDfA8Lm36GOPWvApb32GdnpdMIsalrzegqaI13dnPz++uLZS8vb3xz3/+s9PPcTfGxsZwcXHRWnBMRalUoq6ujgW833zzTZfTnOVyOcrLyzXer3cSCASwsbFpE/DeGQS3976wtrbWKFA2cuTILp/0uHM+YWFhbG/v6dOnMWnSJISHh+PatWvtBvuqE3iEdBYFtoQQQogeUe2JNTAw6PBLdGcJBAJ4enoiJSWFjX8vBLYcx+HQoUPYt28fS0k1NjbG448/jsmTJ6OpqQkff/wx2/eoXnjIzMxMZ71PzczMIBAIwPM8GhsbAQCzZ8/WSJW904QJE/DUU0/1anVkFYlEgps3b7JgtqamRutxIpEIw4cPZ6uyHh4enU4fDQsLw759+6BUKqGQSpDw2f8wdM798J+1EEJRx19VK9KSceOX79Fc1zovS0tLPPfccwNyr7hIJIK9vT07mWFsbIzNmzdrbaETHh6O6dOnt5sCra1CsgrP8yxNXb0o1J1Uqed37v21sbFhKcKGhoY9ygpRUfXgraurQ3Z2NsRiMV555RX2vq+srERFRQX719TUhOnTp/f4ecm9hQJbQgghRE+IxWK2amhnZ6ez4Ep91TA/P3/Qt/6pqKjAN998o1Gsx9/fH8899xyGDBkCoPVL/3/+8x/88ccf2Lt3r84KL3Ech7q6OjQ0NECpVEIkErEVK1UguGzZMixZsgTXrl3D2bNncf36dY1VLZ7ney2o5TgOBQUFbK9sZmZmuwG2g4MDQkNDERYWhqCgoG71fS0pKcH69es1WgfxSiUyj+xF/l+x8Bw/BU5BI2Hl7gWRkTF4jkNTRSlqbmeiIOEM6nL/f19TKysrvP766zo54dMXQkNDcf/99+Onn35qc9+QIUMQHh7e7mObm5vb3fOrulxfX99h6rNYLIZYLNa6j1vFwcGhyxW4tREIBHB2dmaF2fLy8jBixAgIBAJYWVnBysoKfn5+PX4ecm+jwJYQQsigoVAocPXqVSQnJyM3NxdlZWWQy+UwMjKCq6srfHx8EB4ejtDQUJ0FhX1JvUDN3dptdIX6WLougjOQ8DyPc+fO4aeffmLFcQQCAe6//34sWrSozRd4kUiEBQsWIDo6Gn/++ScOHToEjuMgkUhYUNrZ5y0pKUFmZiZKS0vb7f9aWVmJ69evs9TPiIgIREREoLa2Fn/99Rfi4+NRU1PT7RZD7WlsbERKSgrrrattBRFoXb0LDAxkq7IuLi49KupTVlaG999/nz2fj48PAgMDcfz4cXAch5b6WmT9sR9Zf+wHBAKIjIzAKRTgtfz8RowYgZUrV+pVtoFYLMa+ffvYdQ8PDxZk3m2V1MTEBK6urnB1dW33GIVCwVKfte3/Vd3WUXsnXfaHVR+rtLQUI0aM0NnYhAAU2BJCCBkElEoljh8/jj/++AO1tbVt7pdKpbh9+zZu376N06dPw9HREQsXLsSUKVP0JsCVSCQsDRlAp4vQdIb6WPry8+gqsViMH3/8UWP/qqOjI9asWYNhwzrez2lvb48HHngA5eXlSEhIYKuu6ivd7ampqUFiYmK7KbzqGhoa8NFHH8Hb2xurVq1iwY2trS0WLlyIhQsX3nWMzuA4Djk5OSy9+Pbt2+2+n4YMGcIC2cDAQBgbG+tkDpWVlVi3bh37vHp5eeGNN96AhYUFoqOjcejQIVy+fPn/z4vnodRS/dnT0xNz587FxIkT9a5y7p49e1j6+bhx4/DCCy/g+vXrkEgkiIyM7PH4BgYGcHBwgIODQ7vHqFKB1YPdtLQ09jnpyd5abfNR0UWvZELuRIEtIYQQvVZSUoJNmzZp3UtmaWkJQ0NDyGQyiMVidntlZSW2bNmCxMRErF69usMvfn2N4ziUlZWhoKAABQUFKCwsRH5+vkZFXgDsC7EuqNr9AOhyP1x9kJaWhk2bNmkUo5k4cSIef/zxLq18q6e45ubm3jWwTU9Px5UrVzSCRlNTUzg7O8PW1haGhoaQy+Wora1FeXk5W0XOy8vDW2+9hUceeeSuRZAAoLCwECdOnMDo0aPbTV+tr6/HjRs32Kqs+udBnbGxMYKCglgw6+zsfNfnvxue5yEWi2FpaQmgtSjQ2rVr2Xvaw8ODBbUA4Ovri3/+85+orq7G1atXkZubi8LCQjQ3N8PAwABOTk7w8fFBcHAw/P399S6gBVrfP6pq5MbGxlixYgUEAkGH6ce9QT0VWFWB2MXFhQW2Pe3hq049nV+XATMhKhTYEkII0Vs5OTn44IMPNNJnPTw8MHToUDg5OWl8eZLJZCgvL0dmZiZKSkoAtAY8b7/9Nt588024ubn1+fwbGxtRWFjIgtiCggIUFRV16stkXV0dFAqFTva/qQfNPj4+PR5voFAoFNizZw+OHDnCgkszMzP87W9/69KKWE5ODo4cOaKx2nv79m2EhIS0u4KZkpKi0c7ExsYGYWFhcHNz07oqznEciouLcf36ddTV1UGpVGL79u1oaWnBokWL2p1bamoqPv30U0ilUpw7dw7ffPMNzMzMoFQqkZWVxVrxqCoua+Pu7s4C2eHDh+s86Pjyyy+RlJSEmJgYLF68GOvWrWOtgVxdXfHvf/8bVlZWbR5nb2+PGTNm6HQuAwHHcdi6dSt7Ty5evLhTq/99RT29WVsGTHepj9VRCjUh3UWBLSGEEL1UVlaGDz/8kAW1VlZWiI6ObnePnZGRETw8PODh4YHS0lIkJiaiqakJdXV1+OCDD/C///3vrvvJKisrkZeXh9DQ0C61UFEoFGwVNj8/n63EdiY9FWjdT+fp6QkPDw8UFxcjIyMDHMchLy8P/v7+nZ6HNkqlkvVRFYlEg6aAS3FxMb7++muNgC4oKAjPPvtsp4IInudx/fp1HD16FGlpaW3ul8lkuHz5MsaPH9/mvvz8fI2gNjg4GKGhoR3uyRUKhfDw8ICrqyuSk5ORmpoKANi9ezdcXV0RERHR5jFJSUn4+uuvWVqnTCbDb7/9hoaGBty8ebPdyrmmpqYYMWIEQkNDMXLkyF7NWCgvL0dSUhIAIC4uDklJSWxl2tnZGW+++eagzBLoSHx8PLKzW4teubq6dmpVvi+p2kXV1dWhqqoKcrm8xyc7eJ5HWVkZu079aUlvoMCWEEKI3uE4Dps3b2bplE5OTpg6dWqnv3y5uLhg7ty5iI2NZfvKtmzZgpdffllrWiPP84iLi8NPP/0EuVyOuXPnYsWKFVrHrq+v11iBLSgoQHFxcaf2lKkqh3p6erJA1svLCw4ODmyVLzs7G2+//TaA1lRXX1/fHu2LzcnJQXNzMwBg7NixLB1UX/E8j9OnT2PHjh1s5VskEuHBBx/EvHnz7vqzksvlSEhIwNGjR1FUVKRxn5WVFSZOnIg///wTUqkUOTk5sLe31+gn3NzczAI5ABg1ahSCg4M7PX+RSIRRo0bB2NgYV69eBQD8+OOPCAgI0FjVPH36tMaqn/rt2nh5ebFV2aFDh+pkpb8zLl26pHFdFdQ6ODjgrbfe0mlxIn0gFouxc+dOdv2JJ57os99FV4SHh+PMmTNQKBTIzc296z70uykvL2dbHgICAnRa/I4QlYH3SSKEEELuIjY2lrVqsbCwwJQpU7q8omBiYoKpU6fiyJEjaG5uxtWrV5GUlNQmRbW5uRlbtmzB+fPn2W3Jycl46KGHUFJS0iaIba+i7J3MzMxYAKv65+7uftc2Ln5+fvD19UVOTg7q6upw8+ZNjBw5skuvXUUikeDKlSvs+syZM7s1zkBRX1+P7777jvXgBAA3NzesWbPmritETU1NiI2NxfHjx1lLEhXViZCJEyeylf/NmzcDaA3cpFIpRo4cCZFIhBs3bqDl/4oceXh4ICgoqFuvJSgoCJWVlSgsLERDQwMOHDiAxx9/HADw9ddfa7wftTE3N0dISAjCwsIQEhLSbwHk5cuXtd7u6OjI9tzeS9QLRkVGRg7YysDTp0/HmTNnALSm1Xt7e3cpS0Udx3HsJA2AQZleTgYGCmwJIYToFY7jcPToUXY9Ojq621+4TE1NMW7cOJw9exYAcOTIEY3AtqCgAF988QVKS0s1HldcXIwnn3yy3f6e6gQCAVxcXFjw6uXlBU9PT9jZ2XWr6I1AIMCTTz6Jt99+GzzP48aNG7CxsYGnp2eXxpHJZIiLi2MFXSZMmKCx8qhvrl27hm+//VajENaMGTPwyCOPdFjJt6qqCseOHcOZM2fYyrXKsGHDMG/ePIwePVpjpXfSpEkoLS3FoUOHAAA3b95EcXExgoODWREzkUiEcePGdbuwkUAgwLhx41BSUgKlUon4+Hg89NBDuHHjxl2D2jVr1iAqKqrfK1zX1tZq9ApWl56ejl27duHRRx/t41n1nzsLRi1fvryfZ9Q+Hx8fhIaGIjk5GRKJBBcvXsT48eO79X6+efMmK9zm4uKCsWPH6nq6hACgwJYQQoieuXnzJioqKgC0fknqadVWDw8P2NnZoaamBjk5OcjNzYWPjw927dqF33//vd02KNqCWgsLCxa4qv65ubl1O/Buj5+fH+677z4cPHgQPM8jPj4eo0aNQkBAQKeCmdraWpw7d46tTNrZ2eGxxx7DyZMn8fPPP0MkErG5Ozs7w9nZGU5OTvDy8hpw1UxbWlrw66+/4tSpU+w2KysrrFq1qsMKs3l5eTh69CgSExM1fpcCgQBjxozBvHnzOky/fPDBB2FmZoZdu3aB4zj2M1Xx8fGBqalpj16bqakpfHx8kJ2dDalUisuXL3fq/d7Y2NgrQW19fT3y8vLQ2NjIqul6eXlpLfwEQKPYVnvzvFcM9IJR2jz99NN47bXXIJVKkZubC2NjY4wZM6ZLwW1GRgaSk5MBtH62Vq1aNSBTr8ngQO8sQggheiUlJYVd7mnhJKD1y5a/vz8uXrzIxvfy8uowqAVag8HAwECNINbGxqbPWo8sXboU1dXV+Ouvv8DzPK5cuYK8vDyMGDEC7u7uWgObhoYGZGZm4tatWyyYs7S0xOuvvw4LCwv8+eef4DgOHMexvr/qHBwc8NFHH901Xbqv5OXl4euvv0ZxcTG7LTw8HM8884zWgkQ8zyMlJQVHjhzBzZs3Ne4zNDTEpEmTMHfuXI22Pu0RCARYsGABRowYgW+//RYFBQUa9+uqOI63tzcrNJSVlYUJEybggw8+wNWrV9l+7vz8fLZ3FYBO9y/W1tbizz//RHx8PKtkfCdnZ2dMnjwZU6ZM0fi5//HHH1qPt7e3R3R0NO677z6dzXOgG+gFo7RxcHDAypUr8dVXX4HneWRkZKCmpgZRUVHtnsxQkUqluHjxosbn4oEHHujxXl1COkKBLSGEEL2Sm5vLLjs5OelkTPVxcnNzIRQK4eTkhPLy8nYfM27cuH5NoxQKhVi1ahWsra1x9OhR8DyP6upqnD17FsbGxrC3t4eVlRWEQiGam5tRXV3dZv+vm5sbXnzxRdbqaP78+fjmm2/afc6qqipUV1f3S2skdap09N27d0OpVAJorXq9YsUKTJs2rc3JBYVCgcTERBw9erRNAGphYYGZM2dixowZ3arO6+Pjg3Xr1iElJQUbN25kVbp1tRqnPo6qwrOXlxe8vLzY7RzHoaKiAvn5+TAwMMCoUaN6/LwKhQIHDx7EoUOH2M+4PeXl5di9ezf279+PxYsXY8GCBRCJRBptq8zMzDB+/HhERUVh2LBh/Z4m3Zf0pWCUNpGRkWhubsb3338PnudRUVGB33//HR4eHvDx8YGDgwNMTU0hEAjQ0tKC6upq5OfnIzc3V+N9s2jRonvqRAbpH/rxqSKEEEL+jyoN2djYWGcrU9bW1hAIBOB5ngWzn376KXJycpCSkoKrV6/i9u3bGiu4dxYY6g9CoRCPPPIIRo0ahR9++IH1521paUFJSQm7fidDQ0PMmTMHS5Ys0UgtnjBhAs6dO4cbN25ofVx4eHif9p9UKBQQi8WwsbFht1VXV2PTpk0aLXi8vb2xZs2aNgG3RCLBmTNncOzYsTatlZydnTF37lxMmjSpwz24nSEUChEaGgoLCws0NTXByMhIZ+nnqrFkMpnG/uE7n3/IkCEYMmSITp6zqqoKn3zyCWsDBbSuUDs6OsLe3h7m5uYAWgO26upqtpKrUCiwe/duXL58GS+//DJee+01HDhwAGPGjMH48eP1JpjTNX0pGNWemJgYODk54dtvv0VlZSV4nmfF8gCwNlbaToBYWFjgySefRFRUVJ/Omdyb7s2/MIQQQvSWqm1ORz1Bu0ooFEIoFEKpVLIvZwKBAH5+frCzs4O5uTkMDAxw69YtFtyqii4NBAEBAfjoo49w8+ZNxMbGIiMjo83+RZFIBA8PD0RFRWHy5MntphI++uijeO2117TuIRYKhRCLxX1SzVahUGDt2rXIzMzE0qVLsXjxYiQmJmLLli2sP6tAIMD8+fPxwAMPaARNNTU1OH78OGJjYzVSdIHW9PX58+djzJgxerdq2Bdp7lVVVXjvvfdQVVXFnjMwMBABAQEsoL2TWCxGeno6+3zk5OTgvffew9tvv42XX3651+c8kOlTwaiOBAUFYf369Thy5AhiY2M1sj+0BbSmpqaYNGkSFi1adM/1KSb9hwJbQgghA1pjYyMKCgqQl5eHgoICluopl8vB87xOvuwrFAqNlFYAOHnyJPbv39/uKtlA2WeqIhQKMXLkSIwcOZKlJVdXV4PjOJiamsLV1bVTq4hubm6YMmUKYmNj29x35coVvPbaa1i5cmWHhZl04ezZs6yi7r59+5CRkaGxL9be3h7PPvusRjudgoIC/PHHHzh//nybL9ujR4/GvHnzMHz48F4LEC0tLVFeXg6ZTAaZTKaTVVvVWKrxe5NCocDHH3/MglpLS0tMmjQJdnZ2HT7OwsICY8eOhY+PD+Lj49HU1ITy8nJ88sknePfdd3V6Ekqf6GPBqI6YmJhg6dKlWLRoEa5fv46srCzk5eWhvr4ePM/D3Nwc3t7e8PPzw+jRowfc30gy+FFgSwghZEDgOA7l5eXIz89nBXHy8/PbpJCqyOVyNDY23rWISWfU1tayy+7u7gCA7du3d7i3sLS0FMeOHYOrqytcXV1hb28/YFYABQIBHBwc4ODg0K3HL126FAkJCWy109/fHyUlJZBIJKirq8OGDRsQExODFStW6LRQkUpLSwv27dvHrvM8rxHURkVF4cknn4SFhQV4nkdaWhqOHDnCqq+qGBgYYOLEiZg7d26f7AtWVTAGWlOmO1OE6m5UbVIA3RWkas/+/ftZeqmlpSVmzZrVpcrODg4OmDVrFk6cOIGmpibk5OTgyJEj9+zeSn0sGNUZBgYGGDNmDMaMGdPfUyFEAwW2hBAyAEgkEhQVFaGlpQVCoRCOjo5wdHTsswq7fa25uZnt0VIFsIWFhWhpabnrY1V7YYHW4FIXga16n1ofHx8Ara2EioqK2n3MnVWDjYyM4OLiAhcXFxbsurq6YsiQIXq3cmFtbY2HH34YP/74I5ydnfGvf/0LCoUC3333HQse4+LicPPmTaxevVpj1bShoQEJCQkaqzlA66qeajUnOjq6w5Wr48ePt7uHedWqVZg0aRI4jkNCQgKOHDnCiiqpmJubY8aMGZg5c6bG/tzeNnToUNZ2KC8vTyeBrfprGzp0aI/Ha091dTUOHz4MoPUzNmnSpG61KzI3N8fEiRNx4sQJ8DyP/fv3IyYm5p5LR9XnglGE6CsB31EvA0IIIb2msrISsbGxuHTpkkZgpWJhYYGgoCBMmzYNwcHBA2Y1sCt4nkdNTY1GAJufn4/y8vIOW+momJqasgqwnp6e8PLyglKpxDvvvAMAsLGxwfz583t0AoDjOBw4cAASiQQCgQCff/45HB0dwXEcdu7ciWPHjmndb9oVDg4ObQJeV1fXPm0P1B1VVVWwsLBggTnP8zhz5gx++eUXNDc3s+Nmz56NWbNmYf/+/UhMTGT7oNsjFAoxZswYPPTQQ22CP7FYjBdeeEFjfHVTp06Fm5sbjh07xlJmVRwdHTFnzhzExMT0y8mE5uZmrFmzBlKpFCKRCPfff3+PetlKpVIcOHAASqUSpqam+Prrr3vtde3ZswcHDhwAAAQHB/e4svLFixdx69YtAMCyZcuwcOHCHs9Rn2zdupWd5IiMjMQLL7zQzzMiZPCjwJYQQvqYRCLBjh07EBcX16ngDgA8PDzwzDPPwM/Pr5dn130KhQLFxcUseFUFs2KxuFOPd3R01Ahgvby82l21fuedd5CVlQWg9UtjT1ayUlNTcfXqVQDAqFGj8Morr2jcn52dja+//lqj9Y9AIMBbb72FiooKVn24pKQEFRUVd22Nos7U1FRrwOvs7KxRrXigqaiowObNm5GRkcFuU19JVxEKhbCwsAAANDU1tfnZGBkZ4aGHHsLs2bPZ7/mTTz7BlStXujQfHx8fzJ8/HxEREf2+n3Pbtm04ceIEgNbP7eTJk7t18oLnecTFxbGsgVmzZuHxxx/X6VzVvfDCC6iqqoJAIMDixYt7nGLe2NiIgwcPAmjNfvjkk090MEv9kJOTg//85z/geR7Gxsb45JNP7rpPmRDSc5QTQQghfSgrKwtffPGFxr5RgUAAOzs72Nvbw9jYGEqlEvX19aiqqmKpuYWFhXjnnXewePFi3H///f2+yqcq6KQexBYVFXUqqDM0NIS7uzsLXlXBbFe+SC9evBjr168H0FrQyNnZuVspydXV1bh+/TqA1t/DokWL2hzj7++PDz74AD///DPi4uIAAJ6enggMDERgYKDGsQqFok2wq/qnquSrTiqVIicnBzk5ORq3CwQCODk5aQS7qgBYF6nXPeXk5IS33noLx44dw86dO8FxHAtqjYyM4O/vDx8fH9jY2LBMA47j0NDQgPz8fGRlZUEqlUImk2H79u0oKirC008/DaFQiGvXrnV6HmFhYZg/fz4CAwP7/TOhcv/99yMxMRENDQ0oLCxEampqt9q7pKamsqDWysoK999/v66nytTW1rLVbycnJ53sm7a0tISDgwOqqqpQWloKsVjMTnIMZhzH4aefftIoGEVBLSF9gwJbQgjpI+np6fjoo49YsGpgYIDg4GAMHTpUa7oix3EoLCxESkoKamtrwXEc9u7di8bGRjz22GN98kW+qwWd7mRtbQ1PT094e3uzlVgXF5cer6qFhoYiMjISFy5cgFwux6lTpzB9+vQu7eOrrq5GbGwsSzOeO3cu/P39tR5rYmKCZ555BqNHj8aVK1cwbdo0rccZGBiwQFQdz/NoaGjQGvBWVVW1WelU9dMtLy9vE+hZWFi0CXZdXV3h5OTUp6uV6gGriq+vL8aMGaO1L6xQKISNjQ1sbGwQFBSEa9eusVTVM2fOwMzMDMuXL4enpyfy8vK0rgCr2NnZ4fXXX2eFvgYSKysrPPXUU/j8888BANeuXUNLSwvCwsI69ftRKpW4fv26Rp/ep556qldPaKjv4+1uwTFt7O3tWcCcn5+P4OBgnY09UKkXjHJzcxs0BaMI0QcU2BJCSB+oqKjAxx9/zIJaJycnjB8/vsMVDKFQCC8vL3h4eODmzZusaM+JEyfg6OiIuXPndvic58+fx7lz5zB9+nSMHj36rnNsbm5GYWGhRmudgoKCThd0cnV1bbMftrcK91RXVyM3N5ddl0gkOHr0KMLDwzF8+PAO9yMrlUqkpqYiJSWFBWXDhg3DAw88cNfnHT16dKd+lncSCASwtraGtbV1m1VemUyGsrKyNgFvaWmp1p+9WCxGZmYma4WjIhKJMGTIkDYBr6ura69ULs7Ly8Nvv/3Gro8dOxYBAQGdeqyhoSEiIiLg5OSEc+fOged5HD16FKGhoVi3bh1+/fVXHDlypN3H19TUDJgVWm0iIiLw0EMPYdeuXQCAtLQ0lJSUIDQ0FO7u7lrfnxzHoaioCNevX9foEbps2TJERET06nzVW1q116u2O9T/vt3ZV3kwooJRhPQv+rQRQkgv4zgO3333HWud4urqipiYmE6vrqn6k5qbmyMhIQEAsGvXLoSFhbVZGQRaW6Vs3boV8fHxAFpXSkaNGsUCAZ7nUVtbq1HMqaCgAGVlZV0q6KS+F9bd3V0nPTs7o7KyEmvXrkVlZSWA1lVSVR/ay5cvIzU1Ff7+/nB2doatrS0MDAwgl8tRU1ODsrIy3L59WyNgHD58OP71r3/12fzvZGRkBE9PT3h6emrcznEcamtrtQa82lbMlUoliouLUVxc3OY+GxsbrQFvd1sUqd7TqtTzESNGdDqoVeft7Q2pVIrLly8DAL777jt8/PHHqKiouOtji4uL+6SFT3fdd999MDY2xo4dO6BUKlFXV4ezZ8/C1NQUTk5OsLW1haGhIeRyOWpra1FRUcH+RgCtJypWrFiBWbNm9eOrIF2xe/duFsBHRkbeEyvUhAwkFNgSQkgvu3jxIksrVLXC6E7KqJ+fH2pra5Geng65XI7t27fjtdde0zimuLgYX3zxhUabmrq6Ohw/fhzV1dUskO2Ngk59obS0FO+//z4L7JydnfHKK6/g9OnTrGCPVCpFSkoKUlJSOhxLKBRiwYIFWLx48YAs1CQUCmFvbw97e3uEhIRo3CeVSlFaWtom4C0tLdVakbiurg51dXUa6a1A+y2KXFxctKYTq6SmprL0VRsbG4wcObLbrzMgIACFhYUoLy9HVVUVkpKSsHr1ahgZGaGpqQk2NjZQKBSQyWTsn6ura4+r9vaF2bNnIygoCJs3b2Y/L6lUyj6H7fH29sbq1avbnOzoLeppzk1NTTobV/3vjKWlpc7GHYhycnIQGxsLADA2NsaKFSv6eUaE3HsosCWEkF6mCrgAYNy4cT1aGQwLC0NBQQGampqQnJyMsrIyDBkyBABw+vRpbN++HXK5vM3jtm/f3uG4uijo1NuKioqwbt061t/U1dUVb775JmxtbfH4448jKioKR48exeXLlztceRaJRBg3bhzmz58Pb2/vvpm8jpmamsLX1xe+vr4at3Mch8rKyjYBb0lJiUa6qYpMJms3yOqoRdHp06fZcSNHjuzR3l6BQICwsDD2OTl9+jQmTpyI5557rttjDiSenp5Yu3YtUlJScPr0ady4cUPrZ9TQ0BAjR47E9OnTERIS0qftvdQ/B3e2UOqJ6upqdtnLy0tn4w40dxaMWrJkCRWMIqQfUGBLCCG9qLS0lBXIsba21po63BUGBgYYPnw4a09z9uxZPPTQQ9i4cSNLU76b3iro1Jvy8vLwwQcfsDQ/T09PvPHGGxrFooYNG4Zhw4ahuroaqampyMnJYSuYRkZGcHV1hY+PD0JCQrpUZEqfCIVCODs7w9nZGeHh4Rr3icXiNsFuSUkJysvLtfbpraqqQlVVVZuVbxMTE8hkMgCtK1MeHh49nrejoyOsra1RX1+P7OxsSKXSHvV/HWiEQiFCQ0MRGhrKUsZLS0shl8thaGgIFxcXuLm59dtn0NbWFvb29qiurkZFRQUkEolO2v2ogmQXF5dBXRH57NmzGgWjZs+e3c8zIuTeRIEtIYT0IvUCP76+vjpJ4fXx8WGBraqX693Sbj08PPDII4/0akGn3pKdnY0PP/yQtcvx8fHBG2+80e4XZXt7e0yaNAmTJk3qy2kOeBYWFiz4V6dQKFBeXt4m4G2vRVFzczO77OjoqJOVRVV7o/r6evA8j7y8vDZFtgYLkUikdU91f5s4cSIOHjwInueRkZHR41Tv9PR0dnny5Mk9nd6AJRaLNYqoUcEoQvoPffIIIaQXqbfRsLe318mYZmZmMDMzg0QiQW5uLniex5NPPolt27ahoaFBaxquQqFAaGioTp6/L2VkZGDDhg2sqM6wYcPw6quvDqgUaX1nYGAANze3NoWYeJ5HfX19m2A3NzeXpTXb2trqbB7qY5WVlQ3awHYgysnJ0WgrlZaWBm9v726n01ZWVrKTeoaGhoM6sFUvGBUVFUUFowjpRxTYEkJIL6qtrWWXdVk8xdLSEhKJBFKpFDKZDJGRkYiMjERTUxNSUlJw/fp1JCcns7Yh+ph6m5qaqtEiKSgoCK+88gpMTEz6eWb3BoFAwPrOqgeZly5dwmeffQYAOl2ZUh9LWwEsonsNDQ3YvXs3zpw5o3FCjOd5xMfHY9asWV1OCW9qasJff/3Fxlu8eLFe/v3pDPWCUSYmJli+fHk/z4iQexsFtoQQ0kd0WUlYfSz1L6Tm5uYsyOU4Dvn5+SgqKupR1dr+cP36dXz22WesyE5ISAheeumlDiv1kr6hXvxMtddWF9TH6q/WS/cKjuMQGxuL3bt3a1RBdnV1BcdxKCsrQ2NjI06cOIFJkyZ1euW2qqoK8fHxbExfX1/Mnz+/V15Df7uzYNTixYupYBQh/YwCW0II6UXq+0Cbmppgbm6uk3FVXxwNDQ3bDQKEQiF8fHzg4+Ojk+fsK5cuXcKXX37JeqSOHj0aL7zwwoBsyXMvUk9ZVs9I6Cn13rwODg46G5doyszMxE8//aSxTcLU1BRLlizBzJkzUVdXh/feew9VVVVobGzEH3/8gcDAQAQEBLT790ssFiM9PR23bt1igZ6zszNefvnlAV2UrieoYBQhAw8FtoQQ0ovUW1zU1NTAycmpx2PKZDK2p8vLy6tP24L0tsTERHz99desSu+4ceOwZs0aKsYygNjb28PKygoNDQ2orKxklX17QrVKqPLtt99i9erVCAoK6ul0yf+pr6/Hzp07ER8fr3H7hAkT8PDDD7M9zg4ODnj77bfxySefID8/HzzPIy0tDenp6XB0dIS9vT0LcMViMaqrq1FZWakxpq+vL15++WWd7sEeSMRiMXbu3MmuU8EoQgYG+hQSQkgv8vPzY5fz8/MREBDQ4zELCgq0jq/v4uPj8e2337IVnwkTJmDVqlWDdsVHXwkEAowaNQpxcXGQy+XIzc1tU2m5q4qLizUqMFdVVWHt2rWYM2cOHnroIUpN7gGlUomTJ09i7969rAgb0HpS7PHHH9f6N8nBwQH/+9//cPDgQRw6dAhKpRI8z6OiogIVFRXtPpeBgQEWL16M+fPnD+pAb/fu3RCLxQCoYBQhA8ng/atDCCEDgI+PD9zc3FBcXIyKigpUV1f3qDqyqhWHyoQJE3QxzX4XGxuLLVu2sOtTpkzB008/PahWoweT6dOnIy4uDkBrqylvb+9uB59KpVKjIq+qnyoAHDt2DNevX8ezzz4Lf3//Hs/7XpOWloZt27ahsLCQ3WZmZoYHH3wQ06ZN6/CkkYGBAZYuXYpp06bhzJkzOHv2bJuVWRVnZ2dMnjwZU6ZMGbSFolSoYBQhA5eA19YXghBCiM6cOHEC27ZtAwDY2dlhzpw53Q7Y0tPTcfnyZQCt6X5r167V2Tz7Sk5ODjiOY4HKsWPHsH37dnb/rFmz8Nhjj+m02BbRLalUitdeew1VVVUAAG9vb0yYMKFbv7PLly9r9DwFWvcslpeXs+rIQqEQCxcuxOLFiwf1SqCu1NTUYMeOHUhMTNS4PSYmBsuWLYOVlVW3xq2vr0deXh4aGxshEAhgaWkJb2/vbo+nbziOw3//+1+2t3b58uWYN29eP8+KEKJC/zsQQkgvamxsxM2bN9n1mpoaXLlyBWPGjOlyEFBRUaGxsqWPKwW3bt3Ce++9B57nsWzZMvA8j127drH7FyxYgGXLllFQO4Dl5OTgq6++YkEt0Nqv2cjICGPHju30SRue53Hjxg0W1AoEApaGXlxcDAMDA9ja2qK2thYcx+HgwYO4du0ann32WXh6eur+hQ0CCoUCx44dw/79+1mbLKD1JNgTTzzR41Vva2trveyHrSt3FoyaNWtWP8+IEKKOVmwJIaSXpKSkYNOmTairq2tz39ChQzFmzJhOrz4VFhbi3LlzbAVr5syZeOKJJ3Q4277xzTff4Ny5c1rvW7JkCRYvXkxB7QDFcRz++OMP7Nq1i1WsNjIyglwuZwGpvb09oqOjYWNj0+FYYrEYiYmJGgWjnnzySZibm+OXX37R+MyYm5tDKpWygmIikQgPPPAA5s+fT6nqam7cuIFt27ahtLSU3WZhYYGHH34YkydPpp9VD4nFYrz00ktsb+2bb75Je2sJGWAosCWEEB2TyWTYtWsXjh07xm6zsLBAdHQ0Tp48yW6ztLTE6NGj4ebm1u6Xzvr6eqSkpCA3N5fdFhISgldeeUXv2t80Nzfj2Wef1VhJUlm2bBkWLlzYD7MinVFXV4dNmzYhJSWF3ebn54fnn38eWVlZ2Lx5Mws8gdZ+qD4+PrC3t4elpSWA1hZVNTU1yMvLQ2FhoUb/5RUrVmDu3LkAAIlEgn379uHEiRMaY5qammoUPxo6dChWr14NFxeXXnvd+qCyshK//PILLl26xG4TCASYPn06HnjgAY2WY6T7tmzZwvbWRkdH4/nnn+/nGRFC7kSBLSGE6FBRURE2btyoUbk4JCQEq1evhq2tLeLj47FlyxbI5XJ2v7m5OVxcXGBvbw9jY2MolUrU1dWhsrKyTQXSiIgIPPfcc3pZJTYhIQEbN27Uet/q1asxadKkPp4R6Yzk5GRs2rQJDQ0NAFqDpgULFmDp0qUs4yAzMxPffvutxmphZ9jZ2WHlypVa01sLCgrw008/aRRLE4lEbLUYaF0xfvjhhzFjxox7bkVSJpPhyJEj+P333yGTydjtw4YNwxNPPAFvb+/+m9wgk5OTg//85z/geR4mJib45JNPBm0rI0L0GQW2hBCiAzzP4+TJk/j1119Z0GpgYICHH34Ys2bN0vjSXVxcjG+//Zbt1eoMMzMzPPbYY5g4ceKAStVV/RfSmTlt2LBBY4+wOpFIhC+++AJ2dnY6nR/pPoVCgV27duHo0aPsNhsbGzz77LMICQlpc7xMJsPx48dx+vRpjf232tjY2GDKlCmYN28ezMzM2j2O53mcO3cOO3bsYIE10DbADQ4OxqpVq+Dg4NCVl6i3rl69ip9//lnjxJe1tTUefvjhAfc3Qt9xHId33nkHt2/fBkAFowgZyCiwJYSQHqqrq8O3336L5ORkdpuHhwfWrFnTbpEbjuOQnJyMkydP4saNG2jvT7GzszOmT5+OyZMnD4iUwqqqKvz111/IzMxEXl4eGhoawPM8LCws4O3tDX9/f4wfPx5ubm4aj6uvr8dzzz3X7us0MDDAF198QasgA0RpaSk2btyokQIfFhaG1atX37UCLsdxSE1NRVZWVrvvkZCQkC5VN25qasLevXtx8uTJdt9DpqameOyxxzBp0qRBG9iVl5fj559/1jhBJBQKMWvWLCxZsqTDkwSke86cOYPvv/8eQGvBqA8++IAqcxMyQFFgSwghPXDlyhV89913aGxsZLfNnj0by5Yt63S6cHNzM/Ly8lBUVITm5maIRCI4OjrCx8cHdnZ2A+JLellZGX799VdcuXKl3cBCXXBwMJYvX87SIX/77Tf8/vvvbY6zt7fHmDFjMGXKFKp0O0DEx8dj69atbC+0KvNg9uzZ/f5ezMvLw9atW5GVldXuMaNHj8bTTz991wJW+qSlpQWHDh3CkSNHWAE5AAgMDMQTTzwBDw+Pfpzd4HVnwai33noLQUFB/TwrQkh7KLAlhJBuaGlpwS+//MKKiQCt6ZWrVq0aVO0wVCnWO3fu1NjHB7Tub1QVBpJIJBqFfYDWdNH77rsPixcvRlJSEr766isAgIODAyZOnIgxY8bA29u734Ml0koikWDr1q04f/48u83FxQV///vfB9R+TY7jEB8fj507d2qcUFJnYWGBp59+GuPGjevj2ekWz/O4dOkSfvnlF430bjs7OyxfvhyRkZH0+elFVDCKEP1CgS0hhHRRbm4uNm7cqFEoZ/To0Vi5cuVd0zT1Cc/z2L59O44fP85uMzU1xbBhw+Dj4wMLCwuNL9USiQR5eXnIzMzUCDgiIyOxZs0aFBcXQygUwt3dvc1zyWQyFBQUoK6ujqWtenl5UWplH8nOzsbGjRs19mzGxMTgscceg4mJST/OrH1isRi7d+9GbGxsu1kE0dHReOKJJwZEGn9XFRcX4+eff9aoRC0SiTB37lzcf//9A/b3MlhQwShC9A8FtoQQ0kkcx+Ho0aPYvXu3Rh/PRx99FFOnTh10Kyf79+/H3r172fXhw4cjPDz8rm2GlEolbt68iZSUFBZwTJkyBStXrtQ4TiqV4vz584iLi0NeXp5GaxcVFxcXTJgwAVOmTBlUqaUDhbb3tKmpKZ5++mlER0f38+w6JycnB1u3bmXFfe5kY2ODZ555BmFhYX07sW6SSqU4cOAAjh07plEgKyQkBI8//jhcXV37cXb3BioYRYh+osCWEEI6obq6Gps2bUJaWhq7zdvbG2vWrGlTKGkwyM7OxjvvvMMC0+joaPj5+XVpjOLiYsTFxbGA9eWXX8bo0aPB8zzi4uKwY8cOSCSSTo0lEomwYMECLF68mAq36EhtbS02b96ssSLo7++P559/Hk5OTv04s67jOA5xcXH47bff2H7IO02ZMgUrVqyAoaEhysrK4Orq2m8tgmQyGXieh7GxMbuN53kkJCRgx44dqKurY7c7ODjg0UcfxZgxYwbdybOBigpGEaKfKLAlhBC0fqmsqalBdXU1OI6DmZkZXF1dYWBggAsXLuCHH35gQZi2Pp6DCcdxeP3111FUVAQACA0NxciRI7s11u3bt5GQkACgdeXs/fffx/fff4/r169rHGdtbQ0HBwdYWlpCIBCgqakJ1dXVqK6u1jjO09MTL730kt4FXgPN9evXsXnzZo3etAsXLsSSJUv0+j3d2NiI3377DXFxcVrTkx0dHWFlZYXbt28jOjoaa9as6fNgsbq6Gu+++y4aGxvx6quvIjAwUGvPXkNDQyxYsAALFizQCIBJ76KCUYToLwpsCSH3LFVbktjYWGRkZGj0yQRaq8Gamppq7Be1t7fHs88+O6i/6Fy/fh0fffQRgNYiNXPmzOn2yhbP8zhz5gyKi4sBtAYWlZWV7H5vb28EBwe3279WLBbj1q1bSE9PZ4GKra0t3n77bTg7O3drTvcyuVyO3377DceOHWO32djYYM2aNQgODu7HmelWdnY2fvzxR+Tl5XV43AsvvIDIyMhOj8vzPOrq6iCVSiESiWBra9vp6ueqx2/YsIGd2HFyckJoaChiY2M1UvFHjRqFRx99lN7j/YAKRhGivyiwJYTckzIyMrBlyxYWcHWGm5sb3nzzzUG/1/OTTz7BlStXALQWEOppK5Hq6mr88ccfGrcZGxtr7XfbnpqaGvz111/s5IOLiwvWrVtHK1ldUFpaiq+++koj2AsPD8eqVasGVdEzFY7jEBsbi127drWb8m5ubo7PPvusw+JSLS0tSExMRFJSEnJycjROdAmFQri5uSEoKAhTp06962clISEBGzdubPd+Z2dnPPbYYwgPD7/LqyO9gQpGEaLfKLAlhNxTOI7Drl27cOTIEY1URSMjI9jb28PKygpCoRBSqRQ1NTVtVnE9PT3x4osvYsiQIX099T7BcRxWrlwJqVQKU1NTLF68WCf7EPft28eCCyMjI8ycObPLXxibm5tx8uRJ1NfXAwDmzp2LFStW9Hhug01DQwM2btwIAwMDrF69GpaWloiPj8dPP/2k0Zt2+fLlmDlz5qDft1lfX4+dO3ciPj5e6/3e3t5477332qRgcxyHY8eO4cCBA53eCx4cHIynnnoKLi4ube5raGjAv/71L60tigwNDXH//fdj7ty5XVoBJrrDcRzefvtt5OTkAKCCUYToIwpsCSH3DI7jsHnzZpw7d47dZm9vjxEjRsDd3V1rAFdfX49bt24hMzOTBcLW1tZ46623BmXRqJKSErzyyisAAA8PD8TExPR4TIVCoVF1tyerwPX19Thy5Ag4joNAIMDHH3+sNYi4l3333XeIi4sDAIwcORLm5uZITExk9w/E3rS9LScnB2+99Va79w8ZMgT//Oc/2fuysrISGzduRFZWlsZxxsbGsLe3h4mJCZRKJRoaGliLKhVDQ0M88sgjmDVrlsZjv/zyS1y4cEHr84eFheHVV1/t7ssjOvDnn3/ihx9+AAC4u7tj3bp1er3fnJB7EX1iCSH3jL1797KgViAQIDw8HIGBgR2uSFpbWyMiIgL+/v44d+4c6uvrUV9fj/Xr1+ODDz6Aubl5X02/T6j3MdVVynV+fj4Laj09PXuU2mxtbY2QkBAkJyeD53mcPn0ajz76qE7mORiUlpZqrEzeuHFD4/6B3pu2txw5cqTD+8vKyvDmm2/igQcewJgxY/D++++jpqaG3e/r64thw4bBwcGhzQq3TCZDbm4u0tLSIBaLIZfLsW3bNtTX1+PBBx8E0Fplt72gFmjd115UVKS1xzPpfaqiYypPPPEEBbWE6CH61BJC7gnZ2dk4dOgQgNagdtKkSfD09Oz04+3s7DBr1iycOnUKtbW1qKqqwi+//IJVq1b11pR1Si6Xo6GhgQXm9fX1ba7X19drVCEWiUQ6ee7s7Gx2WRdFt4YPH46bN29CqVQiPj4ey5cv77e2Lbomk8mQn5+P/Px8SCQSCAQC2NjYwMfHp1Ptafbt26e1H7CxsTGeeeYZREVF9dbUB7TOnKRRKBTYuXMn9u3bB5lMBgCwsLDA+PHjO6zCbWRkhOHDh8PPzw/Xrl1jlY0PHjwIW1tbzJgxA3/++adOXgfpHbt372ZVkKOjowd1cUBCBjMKbAkhgx7P8/jhhx9YuuDIkSO7FNSqGBsbY8qUKTh8+DDkcjnOnj2LqVOnYujQoVqPVygUOHHiBJKSkjB16lSdpPWqa25u7jBIVb+ts3sE1am+3PcEx3EsWLawsICDg0OPxzQ2NoarqysKCwvR1NSE0tJSvU4L53ket27dwqlTp3Dx4kW2un0nCwsLTJ48GdOnT9daLbewsFAj5VidtbX1PV2QaMWKFRg7diyqqqrQ0NCAxsZGNDY2oqSkBCUlJTA1NUVlZSV4nmfve2tra8yYMQOmpqadeg4DAwOMHTsWlpaWuHTpEgBgx44dCAkJweLFi/HNN99AIBDA1dUVtra2sLCwYP+GDx9Oq7X9JCcnh514MDU1xfLly/t5RoSQ7qLAlhAy6GVmZqKgoABA68rNiBEjuj2Wubk5wsPDcfHiRQDAyZMntQa2mZmZ2LJlCwoLCwG0puNOnjy5w0I9PM9DIpF0KlCtr69nhYB0xdDQEJaWliwFUz0Vs7vq6+tZoGZvb6+zQkX29vbsZ5ubm6u3gW1tbS1+/PFHVoW6I2KxGEePHsWxY8ewcOFC3H///TA0NGT3q5+8uVNFRQVOnTqFBQsW6Gzu+kQoFCIwMLDDY06dOoWtW7cCaA1Sp06d2umgVl1AQAAaGhpw69YtyGQybNu2Da+99hq+//77bs2d9B6O4/Djjz+yz83ixYupCjIheowCW0LIoLdr1y52OSgoqMdpq/7+/khOTkZLSwuSkpLwxBNPsL22YrEYO3fuxJkzZzQeo1rhNTIyajdgbWhogFwu79Hc7mRqagorKytYW1vDysoKFhYWMDc3h7m5OczMzGBqagoTExPWNkcul2Pz5s1oampCZWUlZDJZj6q0Njc3s8uWlpY9fj3axlJVSdY3aWlp+Oyzz9DU1MRuMzY2hru7O+zt7WFqagqe59HY2IiqqioUFxeD4zhwHIeDBw/i2rVrePXVV2Fra4usrKw2hY7upB4Ek7bS09PZ5VGjRnXYAuhuwsPDUVRUhKamJiQnJ6OkpASurq66mCbRobi4OFYF2d3dvU3BL0KIfqHAlhAy4PE8j4qKClRWVkKpVMLU1BTu7u4wMzO762Plcjn7wi8UCuHl5dXj+YhEInh5eSEzMxMKhQI5OTkICQnBoUOHsHfv3nZTSb/77rsePzfQGqCo/hkYGEAkEkEgELDVUJ7nwXEclEolFAoFGhoaUFVV1e682qNUKnH79u27rnT1B31vUZOWlob169ezExkmJiYYNWoUvL29293b3NzcjIyMDNy8eRM8zyM/Px/vvfce3nnnnTaFboRCIVxcXODm5gZ3d3f4+/sjNDS011+XvmpsbGTpw8bGxvD39+/ReIaGhggICGAr8WfOnKEU1wHmzoJRTz75JBWMIkTP0SeYEDIgcRyHlJQUxMbGIi0tTese0SFDhiAiIgLTpk2Do6Oj1nGOHz/OAjpbW1udfXFxcHBAZmYmgNZUWH9/f42V4d4kl8t1vrLbnpSUFHh7e3crJROAxs9bfWWyp1SFXgDdrgT3hdraWnz22Wfsd+jq6ooJEyawVfP2mJiYICwsDJ6enjh79izEYjHKy8vx5Zdf4q233sKrr76KgoIChIeHw8XFhb6kd0F2djb7O+Hj46OTwmm+vr4ssL1161aPxyO6dWfBqIF4Ao8Q0jX0vx4hZMDJzMzE999/j+Li4g6PKysrw++//47Dhw8jJiYGy5cv11jFlUqlOHDgALuuywDIysqKXa6vr+9Ruq6uGRoawsjIiK3qqi5ru83AwACVlZXIzc2FVCptM1ZLSwsuXLiAyZMndzmFm+d5jYrI6hWXe0p9LH3qx8rzPLZs2cKCfDc3N8TExHTpZ2tnZ4eZM2fi+PHjkEgkyMjIwIkTJzBnzhyEhYX10swHt9zcXHZZFwXOgNYTEZaWlmhsbGQtr3RVaZz0zO3bt6lgFCGDEAW2hJABg+M47N27F4cOHdIogmNsbAwHBwfY2NhAKBSipaUFNTU1qK6uBs/z4HkeZ86cwY0bN/CPf/yDpRF+//33Gns8eyt9leM4iEQiuLi4oLS0tN3jLC0t4eLi0m6Q2V4g2t79qsvq1w0MDDr1OhUKBc6dO4cDBw6gsrJS476RI0di1qxZ2LRpE8RiMYqKinD+/HlER0d3+os5x3G4evWqRmDb0NCAmpoa2NnZdWqM9sjlcnbSw8TERK8KR6Wnp+Pq1asAWuc+fvz4bu35Njc3x/jx43Hq1CkArT2ap0yZcs/1p9UV9RMl1tbWOhvX2toajY2NkMvlaGxs1FlvaNJ9HMdh69at7P+YJUuWUMEoQgYJCmwJIQMCz/P48ccfNfo92tvbIyQkBG5ublq//EulUmRlZSE1NRUKhQLV1dV4//338frrr2P48OG4ffu2xvHdaXnTHvXVTVXhqI8//hipqan4448/cP369TaPiYmJwcMPP6yzOXSHUqlkAW1FRYXGfSEhIViyZAmGDRsGAFizZg0+/vhjKJVK5OXloba2FlFRUe2mfavU1dUhMTERVVVVbe7LyMhAdHR0j15DdnY2FAoFAGD8+PF6tQp28uRJdnn06NF3TT/uyJAhQ+Dr64ucnBxIpVKcP38e06ZN08U07znqvX912RNZfayu7nEnvePOglEzZ87s5xkRQnSFAltCyIBw+PBhFtQKBAKEhoYiODi4wy+ZpqamGDlyJHx9fXH+/HlUVFSgpaUFGzZswIcffoinnnoKP/30E6qrq6FQKFBTUwOe53Wycqu+wqMqSCUQCDBixAiMGDEChYWFOHr0KM6fP8++0PakzVBPKZVKnD9/HgcOHEB5ebnGfXcGtCqhoaF48cUX8eWXX0Iul6O+vh7Hjx+Ho6MjfHx8YG9vz9K7m5qaUF1djfz8fK2r1oaGhpDL5bh9+zZ8fX0xZMiQbr0OVZVZlenTp3drnP7Q3NzM9lyamJjopJBZQEAA+5J+7tw5Cmy76c4tDLpaWVU/AdaZYnekd1HBKEIGN/o0E0L6XWFhIfbs2cOujx8/Hj4+Pp1+vIWFBaZPn44zZ86gtLQUEokE33//PV5//XV89tln+PTTT3H58mXI5XKUlZXBxcWlR/PleZ71xQVai8TcycPDA6tXr8YDDzyAv/76CyYmJggODu7R83ZHRwHtiBEjsHjxYgQEBLT7+NGjR2Pt2rXYvHkz24dYWVnZJn1ZG2tra9aKR31F7Pz585g1a1aX26nI5XLEx8ezoksxMTE6CQ77Sl5eHjvJ4e7urpOVZnt7e1hYWEAsFrPx9WkFe6Dw9PRkl2tqanr8NwJofc+rekE7OTl1uwAb0Z1du3axglHjx4+nglGEDDK6y7chhJBu+vnnn9kX/uDg4C4FtSoikQiTJk1iqyIpKSmsfYd66mtGRkaP51taWoqGhgYAQGBgIOzt7ds91t7eHosWLcLs2bN1muJ4N0qlEn/99Rf+9a9/YfPmzRpBbXBwMN5++238+9//7jCoVfHw8MC7776Lp59+Gh4eHnc93snJCY888gg+++wzTJw4kc1HtTIikUhw4sSJTgXHKo2NjTh16hRLb7azs8OKFSs6/fiBID8/n13u6D3TVao9yy0tLSgrK9PZuPcSPz8/drmwsFAnY5aVlbG/a9pOfhHdk0gkqK6uRl1dXZvU79u3b7P+4qampnjkkUf6Y4qEkF5EK7aEkH5VVFSE1NRUAK3FlXrSa9PIyAgRERGIi4sD0LqfMSIiAmPGjIGNjQ3q6upQVFSEwsLCTgVo2igUCly8eJFdnzFjRrfn2xs4jkNCQgIOHDjQJiU4KCgIS5Ys6dYqhYGBAaZNm4apU6ciNzcXWVlZyM3NZSuyFhYW8Pb2hp+fH4YNG8aC+KeffhqlpaVsX6yRkRFkMhkLbocPH46goCC2T/lOLS0tyM7Oxo0bN9i+WjMzM7z66qt6l9qp3u5Il3NX/9npsqXSvYTneZibm6OpqQmVlZU6KXKmfhItKiqqp1MkWigUCly+fBkXLlxAbm6uxskyQ0NDeHl5ITAwEJMnT6aCUYTcAyiwJYT0q7Nnz7LLw4cP73Eapbu7O6ysrNDQ0IC0tDSUl5fD2dkZy5Ytw+bNmwEAiYmJsLa21mjZ0xk8zyMpKQmNjY0AAH9/f0RERPRovrrCcRwSExOxf/9+nQa0dxIIBPD19e30CpSRkRH++c9/4s0330RdXR1kMhn7/fA8j4yMDNy6dQtOTk5wcHCApaUlBAIBmpqaUFNTg9LSUo2VFwcHB7zyyisaqaP6Qn1vt3rV755SH6u3Kn8PVsXFxdi/fz8uXLig8XNMSkrCrFmzup1lUVhYyCp329nZYdSoUTqZL2mlqoS/d+9e1NXVaT1GLpcjOzsb2dnZOHz4MLvdw8ODCkYRMkhRYEsI6VdZWVnscndSkO8kEAjg4+PDCgxlZ2fD2dkZEydORFJSEq5du4aWlhacPHkSMTExne5ZKZfLkZSUxPaZGhoaYtWqVX2aXqwNx3G4cOEC9u/fj5KSEo37AgICsHTpUgQFBfXT7FrZ2tripZdewv/+9z/I5XI0NDRg9OjRSE5OhkKhAM/zKC8vb7MH+E7Dhg3Da6+9prd7FdULEqlOjuiCKi3+zucg7SstLcX+/fuRkJCgEdCKRCIolUpUVVUhOTkZ4eHhXR5bLBYjKSmJXV+6dCnte9ah+vp6fPPNN0hJSdG43cDAALa2tjA1NQXHcaivr9f6OQsNDaWCUYQMUvTJJoT0G47j2L5DCwsLnfXgVN+/mJubi/Hjx0MgEODZZ5/F//73PxQWFkIqleL48eMIDAxEUFBQu8ESx3EoKirClStXWNERgUCANWvW9Gv/VFVAe+DAAbYypBIQEIAlS5YgKChowKzg+fv7Y+XKlfjmm28AANevX8fzzz+P4uJixMXFaW0NBLSm7KraNFVWVur1F1L1Ezftvd6u4nmeVei2sLDo9Imae1VZWRkOHDiAc+fOaQS0lpaWWLBgAby8vPDhhx+C53ncvHkTPM8jLCys0yewamtrcebMGVYNOTQ0FJMnT+6V13Ivqqmpwf/+9z+Nk2Du7u4ICAiAs7Nzm99Tc3Mzbt++jYyMDPZ35MiRIzAxMcHixYv7dO6EkN6nv98QCCF6TyqVoqWlBQBY2xhdUB9LPU3NwsICb775Jj7++GNkZ2eD53mkpaUhIyMDrq6ucHBwgLW1NYRCIaRSKWpqalBcXKyxb9HY2BjPPfccxo4dq7P5dgXHcUhKSsL+/fvbBLTDhw9nK7QDJaBVN2HCBOTn5+Po0aNQKpXYsmUL1q5di/vvvx+1tbVsz65qv6O3tzecnJzwxRdf4NKlS6itrcX58+cRExPT3y+lW9zd3WFqagqpVIqioiLIZDIYGRn1aMySkhL2GRo6dOiA/L0PBOXl5Th48CD++usvjQrdFhYWmD9/PmbOnMlOrD366KP4+eefAQCpqakoKyvD2LFjO+zfLJPJkJGRgZSUFDa+q6srnn32Wfqd6EhLSws+/PBDFtSampoiKiqqwxOMqmr0w4YNw5UrV1iG0N69e2FtbU3tsQgZZCiwJYT0m97aG9jRWFZWVnj77bdx5MgR7Nu3D0qlkq3KFhUVdThuQEAAVq1aBWdnZ53N9U6q+RgaGmrcznEcLl68iP3797eZ57Bhw7B06VIEBwcP+C/RDz/8MIqKipCcnAyxWIxPPvkE7777Luzs7Not1rNgwQJW4frIkSOYNGlSv6eAd4eBgQEmTpyIkydPQqlU4tatWwgJCen2eDzPs8JrADBlyhRdTHNQqaysxMGDBxEfH6+xV9vc3Bzz5s3DrFmz2mRrzJ49GwCwfft2tiJ+/Phx2Nvbw83NDXZ2djA1NYVSqUR9fT2qqqqQn5/PipsBrb2tX3vttS7v4yft2717N/vbZ2FhgZkzZ7ZbdO5OhoaGiIyMhJWVFesl/csvv2DEiBG9+vecENK3KLAlhPQbU1NTtqdNl9Vc1cfS9sXHwMAAixYtwvjx4xEbG4u4uDiNfYrqBAIBwsLCMH36dISGhmoNqCQSCQoKCth+LisrK3h5eXU5tVosFmPdunUoLCzEP//5T4waNarDgHbo0KFYunQpRowYMeADWhWhUIjnn38eb7/9NkpLS1FYWIhNmzbhH//4R7vBqr+/PwICApCRkYGSkhJcvXoVY8aM6eOZ68aMGTNw6tQp8DyPGzduwNPTE9bW1t0aKzs7m61eOTg4dGs/6GBVVVWFQ4cOIS4uTiOgNTMzw9y5czF79uwOK1PPnj0bfn5++Pbbb9ne9erqapb23R6BQIAFCxZg8eLFPV6NJ/9fXl4ejh8/DqD1b8jUqVM7HdSqCwoKQmNjIzIzM9HS0oKffvoJr732mq6nSwjpJxTYEkL6jUgkgoeHB/Ly8tDQ0AC5XN5mpbI7ampq2GVvb+92j3N0dMSyZcvw4IMPoqSkBLm5uaiurgbHcTA1NYWXlxe8vb21fgFuaGjA2bNn8ddff6G4uLhNlVuBQAAPDw9MmjQJkyZNgoWFRYdz5nke3333HfLy8gAA27ZtQ0tLCw4ePNimr6a/vz+WLl2KkJAQvQlo1Zmbm+Pll1/G22+/DYlEgkuXLmH//v1YunRpu49ZsGABa59y5MgRvQ1s3dzcMH36dJw6dQocxyEuLg4zZ87sckGs8vJytooNAE899RQVKEJr8Pn777/jzJkzGiuopqammDNnDubMmdPpgGjo0KFYt24dvvjiC1y7dq3DY42NjTFhwgTMmjUL7u7uPXoNpK0TJ06wv7GhoaHdPhkEAKNGjUJRUREkEgmSk5NRXFzcr/USCCG6Q4EtIaRf+fn5IS8vDzzPo7CwsNNtZDqiKkilGv9uhEIh3N3dO/WFVKlU4ujRo9i3bx/kcnm7x/E8j4KCAvzyyy/Ys2cPHnzwwQ7bhxw/fhyXL19m1ysrK/HVV19pHOPv748lS5Zg5MiRehnQqnN1dcXzzz+PDRs2gOd57N+/H56enu22TwoLC4OHhwcKCwuRmZmJW7duYfjw4X08656rrq5GWloau97Q0IDjx49jwoQJHe7hVOF5Hrdv38bFixfZSmRMTAzCwsJ6a8p6oba2Fr///jv+/PNPjc+lqakpZs2ahblz59715JI2hoaGGu2znnrqKVRXV0MqlUIkEsHBwQE+Pj7w9vbWWfE7okkikSAxMRFA6++jp597Q0NDBAYGspTkM2fOYMWKFT2eJyGk/1FgSwjpVxMmTEBsbCwAICMjAz4+Pj0K2iorK1nFWS8vL3h4eOhknkDrl+fPPvsM2dnZGrfb29vD3t6erQSJxWJUV1ezleOWlhZs374dly5dwosvvthm393t27fx66+/tvu8fn5+WLp06aAIaNWFhYXh4YcfZq9906ZNcHZ2hpeXV5tjBQIB5s2bx3oRHz58WO8C2/z8fGzYsIG9L4RCITiOg1gsxokTJ1jKtbaWPTzPo7S0lBUzUgkNDcWTTz7ZVy9hwKmrq8Phw4dx+vRpjYDW2NgYs2bNwrx583pUmC4/P5/9vIOCgjB9+nSN+1taWpCUlKSXfZX1xe3btyGTyQC0ZuDoIqvHz8+PBbbp6ek9Ho8QMjBQYEsI6VfDhg2Dl5cX8vPzUV1djczMzG4HLEqlUqN/5PTp03UWCNbW1uK9997TaDMxbNgwBAYGtlsgpr6+HmlpaSwQzsjIwP/+9z/85z//YY8Ri8XYsGGDxj5AdTNnzsTjjz8+qAJadfPmzUNBQQHOnTuHlpYWfPLJJ1i7dq3Wn2l0dDT27NmD6upqXL16FUVFRXqT9nnjxg188cUXrA2Ms7MzVq5ciV9//RU5OTngeR5ZWVnIysqClZUV7O3tYWZmBp7n0dDQwFYJ1cXExOCpp57S6xZI3VVfX48jR47g1KlTLOgBWgPamTNnYt68eTop3HThwgV2OTIyss39b775JkpKSmBmZoZvvvmG9tX2AlXvcACdymroDGNjY1hZWaGhoQGFhYVQKBT35OeIkMFG/8pKEkIGFYFAoJEGduXKFVRWVnZ5HJ7ncfnyZdTW1gIAPDw8dNY/UqFQ4OOPP2ZBrbm5OWbPno1x48Z1+OXZ2toaUVFRGnsoi4uL8emnn7KWIO+//367hasA4OrVqzp5DQOVQCDA3/72N5aCXlVVhc8//1xjf6SKgYEB5syZw64fOXKkz+bZE3FxcdiwYQMLTP39/fHuu+8iKCgI7777LpYtWwZjY2N2fENDA3Jzc5Gamoq0tDQUFRVpBLUODg7417/+hWeeeeae+zLe0NCAnTt34sUXX8TRo0dZUGtkZIR58+bh888/x8MPP6yToJbneRbYCgSCNi2+mpubWZqyRCLBli1bevycpC31gl092Vt7J9VYCoUC9fX1OhuXENJ/KLAlhPS74OBg1k9QqVQiNjb2rq131MnlciQmJiIzMxNAa1GqZ599Vmdf+n///Xe2amBubo5Zs2Z1aeXA2dkZs2bNYkWoMjMzcezYMQBARUVFh4+tr6/XGuQNJkZGRnjppZdYCm5GRga2bdum9Vj1aqjnz5+/a5Xa/sTzPPbu3YvvvvuOrciPGTMGb775Jgu8RCIRFi5ciI0bN+Kxxx6Dn5+f1vetmZkZQkND8eKLL+Kzzz675yogNzY24rfffsM//vEPHD58mPXuNTQ0xJw5c/D5559j+fLlOg18cnNz2eczKCiozdipqakaReP++usvxMfH6+z5SSv1vsO6bPOlXmytvYwZQoh+ubdO9RJCBqxHH30UZWVlSE1NhVwux5kzZ+Dr64uQkJB2V19U/WevXr3KWu0IBAKsWrWqw2rIXVFbW4uDBw+ysSdNmtStNhOWlpaYMGECTp48CQDYs2cPJk+ejOeeew579+6Fubk57OzsWMqxQCCAUCjEuHHjdLKnbKCzs7PDSy+9hP/973+Qy+WIjY2Fp6cnZsyYoXGciYkJZsyYgYMHD0KpVOL48eNYvnx5P826fQqFAj/88INGoDNr1iw8+uijWr+cq7IAZs+eDYVCgeLiYkgkEggEAtjY2MDJyUkve/f2lFgsxh9//IETJ05orFobGhpi6tSpWLhwIWxtbXvludW3NWhLQ05OTm5z248//ggfHx+d7u2/16kX5WpubtbZuOrvJyr8RcjgQIEtIWRAMDIywiuvvIKNGzeyoh45OTnIycmBk5MTHB0dYWNjA6FQiJaWFlRXV6O0tBQSiURjjGeeeQbR0dE6m5d625CAgAA4ODh0eyxnZ2cMHToUWVlZkMlkOHv2LObNm4fRo0frarp6zd/fH08//TQrEPXzzz/D3d0dgYGBGsfNmjULR48ehVwux59//olFixZ162RDb5FIJPj8889x8+ZNAK0nKZYvX445c+Z0aq+0gYGB1gJa95KmpiYcO3YMx44d0whADAwMMGXKFNx3332ws7PrtedXT0MWCoVt0pB5ntca2MpkMnzxxRdYu3YtBUs6on6SoLq6Gq6urj0ek+d5VsTNxsZGJ6nrhJD+R4EtIWTAMDY2xksvvYSzZ89i+/bt7AttRUXFXVN2hw0bhlWrVsHFxUWnczp79iyA1uDkzgCrOwIDA5GVlcXGnjdvXo/HHEwmTZqEwsJCHD16FEqlEp999hnWrl0LJycndoy1tTUmTZqE2NhYSKVSxMbGYuHChf046/+vuroaGzZsQEFBAYDWlcXnnnsO48aN6+eZ6QeJRILjx4/jjz/+0DhpJRKJEBMTg/vuu69HJ5c6Kycnh+31Dw4ObhP4lJSUtFsLoKSkBIcPH8YDDzzQ6/O8F/j4+LDLxcXFCAkJ6fGYFRUVrIq2LlrMEUIGBgpsCSEDikAgQExMDMaMGYMffvgBFy9ebPdYoVCIsLAwzJgxAyEhITpP1ayrq2NfXp2cnHSyKmhtbQ17e3tUV1ejqKgIEomE7b0lrR5++GEUFhbixo0bEIvF+OSTT/Du/2PvvMObrNo//s3qSPfedEBLB4XSSRkFWgotoCCiIryCCi4c+AriFlEciCiiIqKoqIgDGTIKlC5GKS2lrO5duvdOm/X8/sgv503atHSkbQrnc129SJ4k5zmZnO+57/t7b96sFAFbsGABYmNjwTAMoqKiEBERMeKOtCUlJfj0009JJEhfXx/r168fdW2JRgKBQIDTp0/jxIkTaGtrI8c5HA5CQkKwePFitTni9oU7uSHLo/E9QWs2B09nZyfOnz+PkydPkmM1NTWor68fdLQ+OzubXFb1/lIolNEJFbYUCkUj0dfXV+pL+dhjj4HFYkEikUBHRwcODg5wdHRUcpNVN0VFReSymZmZ2saVC1tA1idTHZHguwk2m40XX3wR7777LioqKnD79m18++23WLduHdm8sLa2RmBgIC5fvoympiZcuHABoaGhIzbnmzdvYseOHSTLwNLSEq+99praMwjuNjo6OnDmzBkcP34cra2t5DibzcaMGTOwePFiWFlZDeucGIYh9bUcDgf+/v7d7tNTmnFQUBAmT56s1nKIe436+nqcOXMGsbGxSp8JOcnJyZg7d+6ANzIrKipQXFwMQOZ9EBgYOKj5UigUzYEKWwqFopEIhUKkp6cDkNVARUREDHsvV8UWEPr6+mobV3Es2mZCNXp6eli/fj3eeecdCAQCpKSk4NChQ1i6dCm5z3333UcEyIkTJzBz5kzSk3LcuHHDNtdz587h+++/J1E6FxcXvPrqq2p16L3b6OjoQHR0NI4fP06M3wBZxsb06dPxwAMPwNraekTmlp+fj9raWgDAhAkTYGBg0O0+ISEh4PP5EAqFKCgoIC7nfn5+mD59+rDO925B/jomJSV1i3iPHz+eRGtrampw8+ZNTJo0qd/naG9vx6VLl8j1JUuWjHimB4VCUR9U2FIoFI0kKyuL9KicNGnSsItaAEqtPNR5/pF4LqMRW1tbvPDCC/jss8/AMAwOHTqEMWPGkAiLi4sLvLy8kJ6ejoqKCmzcuJH0FX3ttdcGtPDtDwzD4PDhwzh48CA55ufnh+eff54aB/VAZ2cnzp49i2PHjin1b2axWJg2bRoeeOCBEY9yK6Yh91QbrdjXVk9Pjwjb4uJiKmz7gVQqRWpqKqKiopCVlaV0G4fDQXBwMObPnw8nJydkZWXhgw8+AMMwuHHjBgD0qwSlpaUFsbGxJNXd3d29m+s6hUIZ3VBhS6FQNJJr166Ry0MtUHpCMVKjKiVuoCiOpSoaRPkfkydPxrJly3DgwAEAwLfffgsrKys4Ojqis7MTlpaWJLIvF7WATGAM5edGLBZj7969xFwMAMLDw7Fq1ap7si3PnRAKhYiJicGxY8fQ2NhIjrNYLAQHB+OBBx6AnZ3dyE3w/5FKpXdMQ+6KYmsxxfIFSs8IBALEx8fj9OnT3YwB9fX1MWfOHISHhyu1cnJ3d8fy5cuxf/9+AMCNGzdQUVGBoKCgXls+SSQS5OTkIC0tjUSCzc3N8fzzz9PvKoVyl0GFLYVC0UjkrTTYbLZaXDAHguKCVV4Tqw7k5kIA7vm2Ln1h4cKFuH37Ni5cuIDOzk5s374dq1atwo4dO3o06RnK3r/t7e348ssvcfPmTXJsxYoVmD9/Po3Gd0Hek/ro0aNoaGhQum3KlClYsmQJ7O3tR2h23cnLyyPfdW9v7z6VIBgbG8PIyAhNTU0oLi4GwzD0c9ADNTU1pH5WsY0TANjZ2SEiIgIzZszoMT1Y7iIvF7c1NTU4fvw4LC0tYW9vD1NTU+jq6kIqlaKpqQk1NTUoKipCZ2cnGcPa2hpvvPGGWn0TKBSKZkCFLYVC0TiqqqpI9M3V1XXEepSamprC1NQU9fX1qK6uhkAggK6u7qDGbG1tJU7L1tbWaq3dvVthsVhYs2YNysvLUVBQgNraWmzfvr3Xx6hL2IrFYkgkEmJSVl9fj23bthHzGS6Xi7Vr11Jn1S6IxWLEx8fjyJEjShs5ABAYGIglS5ZgzJgxIzS7nrmTG3JPODo6Ehfv+vp6Kpq6kJOTg6ioKCQnJyuVeACyDYT58+f3Oa14wYIFcHFxwZ49e1BVVQWgby3hACAsLAzLly8f9O84hULRTKiwpVAoGoc8WgsAPj4+IzYPuZHNv//+C6lUiuzs7EHPR7HNREhIyCBneO+gpaWFl19+GRs3bkRHR8cd768OYVtRUYF33nkHHA4H69evh46OjlI7H7nBlbu7+6DPdbcgFotx7tw5HDlyhBgwyfH398eSJUuUMiE0ia5pyH5+fn1+rFzYArI0eCpsZSnAycnJiIqKQl5entJtPB4P06dPR2Rk5IAi9h4eHvjkk0+wc+dOpKWl9XpfLpeLoKAgzJs3b1hN5SgUyvBDhS2FQtE4FIXtSNXXygkLC8Px48chlUqRnp4OJycnGBsbD2isuro6ZGZmApAtnGfNmtXvMYRCIfLz81FYWIiqqiqIxWJoa2vDzs4Ozs7OcHJyuivrxqRSKX7//fc+iVpAPcL233//RXt7OwBg69atkEqlJKXRwsICr732GmxtbQd9nrsBsViMCxcu4PDhwyQjQY6vry8efPBBODs7j9Ds+kZOTg5Jl544cWK/MkUUSwqKi4vh6+ur9vmNFtra2hAbG4szZ850K+EwMjJCeHg45syZA0NDw0GdR0tLSylKu2LFCtTX10MgEIDNZsPMzAzOzs4YN24czYyhUO4RqLClUCgaRdc2PyNdg2phYYH58+cTcXvu3DnMnTu33663AoEA58+fJ2l4ixYt6pdArqqqwunTp3Hu3DkitlRhZmaGsLAwhIWF3VXGVLdu3VJKE+0Kl8uFWCwm1xV7IA+E1tZWpbYgivWAtJ3P/5BIJLh48SIOHTrULRXUx8cHDz74IMaOHTtCs+sf8mgt0L80ZIAaSAFAZWUlTp06hYSEBKWaVkAm/CMjIxEcHKy2MoHS0lKUlZUBkLUDktffUiiUexcqbCkUikaRmZk54m1+urJ06VJcvXoV5eXlaGpqwpkzZxASEtJnYVpfX49z586Rfp2Ojo5YvHhxnx4rkUhw4sQJHDx4UEm49URdXR3++usvREVF4Yknnrhraj/t7OxgbGys5KiriKOjI6qrq8lrzOfzB3W+8+fPk8+hInw+/54StQzDICkpCW1tbQgNDSXZAFKpFBcvXsThw4dRWVmp9JiJEydi6dKloyrtUzENmcfj9SsNGZDVy2tra6Ozs5PUX98LMAyDzMxMREVF4erVq93qZydPnoz58+fD09NT7b/lA62HplAody9U2FIoFI1Ck9KQ5WhpaeHVV1/F5s2b0djYiKamJpw4cQITJkyAm5tbj0Yk7e3tyM7ORnp6OlnwmZubY/369eBy7/zz297ejs8//xwZGRnkGIfDwZgxY2BlZQVjY2NwuVwIhULU19ejoqKCRDBaWlqwc+dOZGRk4PHHHx/16clmZmb47LPPEBsbi1OnTnUzJCosLMTu3buxa9cumJqakh6jra2tKCwsRF1dHaRSKXR0dDBmzBjY2tr2+JowDIOzZ8+qvK29vR379+/H2rVr1fsE1YREIkFWVhby8/NRXFyMtrY2sFgsmJiYwNnZGW5ubv3Kgjh79ix++uknALKo9YIFC3Dp0iUcOnRIqb0SAEyYMAFLly6Fm5ubWp/TcJCdnU02TSZOnNjvjRE2mw0HBwfk5eWhuroa7e3tg95c0WTEYjESExNx6tSpbhFqbW1thISEICIiYsh6Ess3XACZF4K8tzWFQrm3ocKWQqFoFJrQ5kcVVlZW2LRpE7Zt24by8nJIpVLcuHEDt27dgrW1NczMzEhNXmtrK+rq6lBZWakUwXBwcMCrr74Kc3PzO56vs7MTn376KXJycgDIFm8eHh6YMGECcejtOj8PDw+0tLTg6tWrKCkpASATJhKJBGvWrNGI6Pdg4PP5WLhwISIiInD58mUcO3aMPE+pVApdXV1s3LgR7e3tpKWI/PauaGtrIzAwEOHh4d0ii9euXesm2hS5cuUKpFKpRm0WtLe349SpU4iNje0m+uXEx8cDkKVSz507F9OnT+/1ORQVFeG3334j1w8fPoz4+Phur42npyeWLl06qk201BH9c3R0JCZJJSUlo/r16Inm5mZSP9s1e8LU1BRz585FaGjokNe0lpSUkM+hu7t7r31sKRTKvQMVthQKRWNQbPPj5uY2Ym1+esLKygofffQR/v77b5w8eRIMw0AqlaK8vBzl5eU9Po7NZuP+++/HAw880Of6sv379xNRq6WlhdmzZ8PS0vKOjzMwMEBISAgKCgpw6dIlMAyDuLg4jBs3DrNnz+7bE9VwuFwupk2bhqlTpyIlJQXHjh1DUFAQ2Gw2Lly4gF9++QWtra29jtHZ2Ynz58/j/Pnz8PX1xerVq8ni+I8//ujxccbGxnjwwQc1StTeuHED33//fZ97LRcUFGD37t2Ij4/H008/DWtr6273EQgE+Oqrr5RqlTs6OpRErbu7O5YuXQpPT8/BP4kRRCqVIjk5GYAsDXmgxk9d62zvJmFbVlaGqKgonD9/vlv9uouLC+bPn4/AwMA+ZaKoA8X6d5qGTKFQ5FBhS6FQNAZNTEPuipaWFhYvXowzZ85AJBKBzWZDKpWqvK+JiQlmzpyJ0NDQPkVp5aSnp5NUWA6Hgzlz5vSrfQiLxcLYsWOJ0AOA3377DRMnTryr2pDIUxADAwMhFArx1VdfdTOYMjU1hYWFBYyMjMBms9HR0YH6+npUVlaSGtqrV68iOzsbL7zwAiZNmgQtLS3yeB0dHXh7e8PLywteXl6wtbXVqMj3sWPHcODAAaVj9vb2GDNmDExNTcHn88EwDFpaWlBbW4uCggIS0c3KysJbb72F9evXK4lThmHw448/9hi1Hjt2LJYtWzYkdZMjQVZWFpqamgDIDK8G2uO0qzPyaIdhGNy8eRNRUVFKv82A7LsXEBCAyMhIuLm5DcvnoL29HZ2dnTA2Nib10DQNmUKhKEKFLYVC0RiuXbtGLmuqsAWAxMREErUICwvDwoULUVRUhJaWFrBYLOjr68PZ2RlmZmYDWvD9/fff5LKvr++AxaizszMqKiqQn58PgUCAY8eO4fHHHx/QWJqMSCTC9u3bcfPmTXLM0dER3t7ePaYoisViFBYW4tq1a+jo6EBbWxs+++wzvPLKK3j77bcRFRWFsWPHwsvLS6Ois4qcPHlSSdRaW1sjKChIZRsVHR0dWFhYwN3dHZWVlUhKSkJraysEAgE+/fRTvPnmm6Q29uDBg7h48WKP5500aRK8vLzU/4RGCMXNkKCgoAGP4+DgABaLBYZhRrWwFQqFuHjxIqKiolBaWqp0m66uLmbNmoV58+b1KYNEXTQ3N+O1115DU1MTrK2tUVVVBUCWBn+vGLlRKJQ7Q4UthUIZUf744w/cuHEDTk5OuHXrFgDNaPPTEwzDIDY2llwPCwuDhYUFLCws1DJ+UVERSUE2NjbG+PHjBzWen58fioqKIJFIcP78eSxbtqzfrYo0nV9//ZWIWi6Xi6lTp97x88PlcuHq6ooxY8YgMTERpaWlkEgk2LlzJz766KM+u1aPFHl5edi/fz+5PmnSJHh7e99xI4XFYsHGxgYLFy7E+fPnUVZWRqLdW7duha6uLo4ePdrrGOfPn8fSpUvV8jxGGolEopY0ZEBWt21ra4uysjKUlpZCLBYPW2quOmhsbER0dDTOnj1L3MXlWFhYYN68eZg1a9aImGJVVlaSqLqiC3dlZSWOHTuGefPmKWVaUCiUexPN3IamUCj3BB0dHfj3339RVFSE+Ph4pXY2J06cuGOd5EhQWFhIojFjx47FmDFj1Dq+Yi9NdaT4aWtrw9nZGYCsbvLGjRs93lcsFiM5ORlxcXF9ai2kCdy6dUspbTssLKxfmyLa2tqYOXMmeUxnZyf27NnTY3q5JiAWi/Hdd98RY7IJEyZg4sSJ/fqs8Hg8zJw5k0Td6urqcODAAbBYrDv2P3ZxcRn45DWMzMxMNDc3A5C1phnspo/8cyQWi3utu9ckiouLsXv3brz00ks4fPiwkqh1c3PDyy+/jC+++ALz588fMafnnrJW5J/bX3/9dZhnRKFQNJHRs5VIoVDuOrS0tKCrqwuBQKB0vLGxEb///jsSExPx0UcfjdDsVBMXF0cuh4aGqn38goICctne3l4tY9rb2xO31oKCgm41ae3t7YiNjcXp06eJAVF7ezsWLFiglvMPFQzDKC1o/fz8BpQeyWazERwcjLq6OrS2tiI7OxuXL19GcHCwOqerNi5fvkzaOpmamg44bZ/D4WDatGk4duwYxGIx4uLisHjxYuzcuRO5ubnQ0dEBm80Gi8UiopnH46k0mxqtqLsXqqOjIxITEwHIsi/UvfGlLqRSKdLS0hAVFaXUTgyQfS6CgoIQGRmJsWPHjtAMlTExMQGPx+tmXCWnr6Z8FArl7oYKWwqFMmKw2WyMGTMG2dnZKm/v7OwEwzAaY1DT0dFBFq3a2tpD4sYpb0+jra2ttuiIqalpt/EBoKamBqdOnUJcXBw6OjqUHtNTyxhNIisrC7dv3wYgi+gMpn8qj8dDUFAQYmJiAADR0dEaK2yjo6PJZX9//0HVAOvr68PT0xM3btyAVCpFXFzcXeF03BckEglSUlIAyL5vPj4+gx5T0RlZE+tsOzo6cP78eZw6daqbOZienh5CQ0Mxd+5cjTOZY7PZsLS0JBs6inh6euLhhx8egVlRKBRNgwpbCoUyojg6OqoUttra2njuuec0RtQCsuiOPLo8derUAbun9oZ8fF1dXbU9d8X0Svn43377Lc6fP9/jY9LS0tDU1ARtbW3o6OhAW1tb5Z+Ojg60tLSUrmtra0NLS2vITZfOnTtHLnt4eAz69bKxsYGRkRGampqQlZWF6urqYTXI6QvNzc2kBtvIyEgt83N1dcXNmzfBMAxSUlLumvrZO5GRkUHSbn18fNRSe64YodUkYVtXV0d6O7e1tSndZm1tjcjISMyYMUOj6+9VCVtPT09s2LBBo+dNoVCGDypsKRTKiKKqHpLD4eCVV17BuHHjRmBGPaOYhjxUPWE5HA4AqLXGU3Es+fjySFVPVFZWKpm0DARFwdtV+PYmlHu7Xf7H5XJJerU88j9YWCwWHB0dSR1yfn6+xgnbwsJCclldrYf4fD6MjY3R0NBAzKTuBSMexTRkdUXnjYyMYGJigoaGBhQVFY14xkl+fj6ioqJw+fJlSCQSpdu8vLwQGRkJHx8fjXX+VkRbW1vpupeXFzZs2NDtOIVCuXehwpZCoYwoXYUti8XC888/D29v7xGakWpKS0uRm5sLQBaVGaraMzMzM5SWlqK1tRUSiYQI0cEgN8cB/peWvGTJEvz555/dFrvqRCgUQigUdnNYVQeK/YONjY3V8joByiY1RUVFGpeOrNh+RTHFfLCYmpqioaEBUqkU5eXlSim1dyNisVgpDVmd7cUcHR3R0NCA9vZ21NbWqs0xva9IpVJcuXIFJ0+eJNF9OXLX8MjISI11nu8JxTZW9vb2VNRSKJRuUGFLoVBGlK4GSY8//viQ1K4OFsUWP7Nnzx6yKIyzszNKS0shlUpRV1enlohhTU0NuSx3tF24cCFmz56No0eP4tSpU91ckFesWAE/Pz90dnaSv46ODqXrXf+63i4UCrsdUxeKUWh1OrXq6emRy0MhyAeL4muozqiq4lhd663vRtLT04nruq+vr1oFkpOTE+nJXVRUNGzCtr29HfHx8Th9+rTSdx6QicI5c+Zgzpw5MDY2Hpb5qJtly5YhPz8fPB4PGzdupKKWQqF0gwpbCoUyomhpaWHChAlIT0/HtGnTEB4ePtJT6oZQKMSFCxcAyEyGpk2bNmTncnd3J7Wv6kiFZRiGpOzKx5ejp6eH5cuXIzw8HH/++ScxxgJkaa7qdr9lGAZCobDPYrm329ra2lQayagTTarvlqMYmVZntF1xrNHUe3WgKLbVUvdGmmIk9NKlS5BIJODxeLCzs4OVldWAPlft7e1oaGiAnZ1dt9uqq6tx+vRpxMfHd3OYt7e3R2RkJKZNmzYq0ssrKiqQnZ2NoqIiNDQ0gGEY6OnpwdHREWPHjsXmzZtHRdo0hUIZGe7+/70oFIpG0draitraWkilUujo6MDKygpvvvnmSE+rG7dv38b3338PAwMDWFlZkehOUFAQ9PX1h+y8wcHB+O233yAQCFBYWAhvb+9Bna+8vBwNDQ0AZNFaVSmmFhYWeOGFFxAREYGTJ09CV1d3SFLBWSwWqZEdLEKhEE8++SSkUqla+x0rjnWnfq4jgZWVFbnc2NiotnTSxsZGclnT6orVjWIaso6OjtrSkKVSKW7duqVUi5+UlKRUy8vn8+Hj44Pw8PA+96muqanB5s2bUV9fjyeeeALh4eFgGAbZ2dmIiorClStXSE9jOZMmTUJkZCS8vb01coNGEYZhcPnyZZw+fbpHh3w5VlZWmDNnDsLCwqhhFIVC6QYVthQKZUhhGAa5ubmIjY1FZmZmtxQ5LS0tODo6IigoCCEhIUMqGvtDXFycUqRTzsSJE4f0vDo6Opg9ezZOnjwJiUSCS5cuYc6cOQNanAqFQqVFdWRkZK/3HzduHF566aV+n2ck0NLSgp2dHW7fvo2mpiaIRCK19LKU9/EFZGnhmobinKqrq9UyplgsJu2dzM3NlWoZ70Zu3rxJnIF9fX3VEsksKirCnj17UFRU1Ov92tvbkZiYiMTERHh4eOCpp57qNTOio6MD27dvJ+/PoUOHoK2tjTNnzij1vAZk2SQzZsxAZGSkysiuJlJTU4M9e/YgPT29T/evqqrC/v37cfbsWTz99NPw8PAY4hlSKJTRBBW2FAplyCguLsbevXtVCkQ5QqEQubm5yM3NxV9//YUFCxbggQceGPF0yJ7Ov2vXLqSkpGDt2rVDVuO1ZMkSJCcno7a2FpWVlUhOTkZgYGC/xK1IJEJ8fDza29sBABMmTMDUqVOHZL4jhaurK27fvg2GYVBSUjJoQy+GYZSEiaa5cgOyaKqFhQVqampQWVmJlpaWQUeWi4qKSI21l5eXOqap0ag7DfnEiRP4448/lNK5dXV1YWFhARMTE3C5XIhEItTX16O6uhpCoRAAkJmZiddffx2rV6/GjBkzuo0rlUqxa9cupd7TTU1N2L17t9L9jI2NMXfuXISGho6qTYns7Gxs27aN/EYBMldpFxcXmJubw8DAACwWC+3t7aivr0dJSQnpvVtVVYUtW7Zg5cqVmDdv3kg9BQqFomFQYUuhUNQOwzA4duwY/v77b6XFHofDgampKYyMjMDhcNDR0YH6+npi0iMUCnH48GFcuXIF69atg62t7Ug9BRgZGfV4W0pKCgoKCoYsWsDn8/HMM8/g448/hlQqRU5ODtra2jBlypQ+GSXV19cjMTGRpCDr6+vjqaee0viUxP4yc+ZMYuqVmZkJZ2fnQdXf3b59m3wWvb29lRySNQUWi4WwsDD88ccfAIAbN24MquZbLBbj1q1b5PqcOXMGPUdNRiQS4cqVKwBk4nOwGRgHDx7EoUOHyHVjY2NMmjQJ9vb2Kj+LEokExcXFuHbtGtra2iAUCvHtt99CKBQiLCys29jyuarCyckJkZGRCA4OHvGNwP6Sn5+PrVu3EqMyPp+PoKAg2NnZdfud4vP5MDc3h5ubGxobG5GUlISamhowDIN9+/aBw+Hc9Z9bCoXSN0bXLyGFQtF4GIbBb7/9hqioKHLMyMgIXl5ecHR0VLkAa2pqQnZ2NnJycsAwDG7fvo3Nmzfj7bffhoODw3BOn9CbsHVwcBjyaJ6XlxeeffZZfPvtt2AYBmVlZTh27Bjc3Nzg6uraLWWbYRg0NDQgJycHeXl5pOaOz+fjtddeG/aWI0NNSUkJEXcA0NDQgMzMzAFHHIVCoVJvX000MZMza9YsHD16FAKBAAUFBRgzZsyAvydpaWlEzI8fP37I2lhpCjdv3iQRQj8/v0GlIV+8eFFJ1Hp5eWHSpEm9tp7icDhwcXGBg4MDrly5QrJZfvzxR1hbW5PP77///osjR470OM5//vMfREZGjsrNqo6ODuzcuZOIWhsbG4SEhPTpvZBHp69fv042ZPbt24dx48bd9S2qKBTKnaHClkKhqJWoqCglUTthwgRMnDix18WekZERAgMDMW7cOFy4cAFNTU1oaWnBJ598go8//nhE0ut6Erbu7u545ZVX1FLPeSemT58OfX197N69G83NzRAKhbh16xZu3boFPT09GBsbg8vlQigUor6+vls7HQcHB7zwwgsjtjkwFLS2tuKff/5BdHS0UssfALh27RpMTEz6HemXSCQ4f/48ETze3t7w8/NT25zVjaGhIR577DHs2bMHAHDhwgWEhYX12/QpIyMDWVlZAGT1mWvWrFH7XDUNxZrzoKCgAY/T0NCAn3/+mVz39/fvVwYHj8fDlClToKWlhYyMDDAMg++++w5bt24Fl8tV2rRRRXZ2NubPnz/Q6Y8oBw4cIF4LFhYWmD17dr/6ULPZbEyePBkSiQSZmZmQSCT47rvvsGXLFrX1s6ZQKKMT6plOoVDURllZGf78809yPTg4GJMnT+7zYsPU1BQREREkBbShoQG//PLLkMz1TqgStgEBAXj99deH1eDKx8cH27ZtQ0hIiFJqo7zdTXFxMSoqKrqJWnNzc2zZsuWuEbVSqRQxMTF45ZVXcPr0aSJqLS0tiUCRSqWIi4tDbm5uN5fYnmhra0NMTAzKy8sByCLcoyFte+bMmQgICAAgSyeOjo5Genp6N7Gvis7OTly8eBGpqank2IoVK0aN4dBAEQqF5Dnz+fxBpSEfPHiQGFA5OTkNqCyBxWLB19eXOF3X1tbixIkT4HA4d/zNbG5u7v+kNYCGhgbExMQAkEWvp02bNmAxOnnyZNKTt7i4uNe0bQqFcm9AI7YUCkVt7Nu3DyKRCADg4eExoHRdLS0tzJo1C8eOHYNQKERiYiJmz5497KY28gWTnLCwMDzxxBMj0kPRwMAAzz77LB555BHExcXh1q1bKCoqIql88vs4OzujpKQEjY2NqK2tVYuhkiaQnZ2Nffv2KRk7aWtrY9GiRZg/fz44HA4YhkFycjKkUimSkpJQXFwMb29vWFpaqhSpnZ2dyMvLw82bN8lnVltbG+vXr4e5uflwPbV+09DQgLNnz8LNzQ3PP/88Pv/8c9y4cQNSqRRXr15Ffn4+xo8fjzFjxkBXV5c8jmEYNDc3o6CgALm5uUobIUuXLsXcuXNH4ukMKzdv3iR9Xv39/QecddHa2qrU1zowMHDAc2KxWAgODsbRo0fBMAxiY2OxePFifPHFF0hJSYGenh6EQiEEAgHp7cxisTBr1qwBn3MkiY2NJZsvnp6egzI+43A48Pf3x9mzZwEA0dHRg4rCUyiU0Q8VthQKRS2UlZWRmid9fX34+PgMeCw+nw9/f38kJiYCAE6fPj3swtbQ0JC4z06dOhVPPvnkiEfxTExMsGTJEixZsgRSqRRNTU0Qi8XQ0tKCoaEhWCwW4uLi8P333wOQubWOlvY9qmhoaMCBAweIiJAzdepUPProo0rmTi+++CJ+/vlnEg2qqKhARUUF9PX1YWFhASMjI7DZbGJYVlNTo2RsZmxsjJdffhmOjo6IiYmBr68vTExMhueJ9oLcqTktLQ2pqakoLCwkt3355ZfYsGED/vjjD0RFRYFhGDQ1NSE5ORnJycng8/ng8/lE1MoFvBw+n4+VK1ciJCRkuJ/WiKCuNOTLly+T13Ls2LGDdkc3MDCAg4MD2ZS6fv06/Pz87tieazQir2NnsVhwdXUd9HjW1tYwNDREc3MzMjIy0NraqjEt4ygUyvBDhS2FQlEL8fHx5LK7u/ugXTqdnZ2RlpYGgUCA1NRUNDY2douiDgaGYVBeXo6CggKUlJRAIBCAzWbDzMwMzs7OGDt2LL788ktIpdIRidLeCTabrVJ4TZs2DX/++Seam5uRnJyMmpqaUWccJRKJEBUVhcOHDytFFseMGYNVq1apTPvkcDhYvXo1fH19sXfvXtL3s7W1Fa2trb2eLyQkBP/5z3+gr6+PV155BZWVldi7dy98fHwQFhaGSZMmDbvrbEdHB/7++28kJSURd+uuMAwDLpeL//znPwgICMCBAweQk5NDbm9vb1dqpSKHw+EgMDAQy5cv10jn56Ggaxqyt7f3gMfKzc0ll9VlWCTPtgCAvLw8ja7xHihCoRClpaUAZBtJenp6gx6TxWLBxsaGpGYXFhYO6r2lUCijGypsKRSKWsjOziaXXVxcBj0em82Gi4sL0tPTwTAMcnNzSU3hYBAKhTh//jyio6OV+kN2hcvlYsqUKZg3b96oSufV0tLC3LlzcfDgQUilUpw6dQqPPfbYSE+rz6SlpeGXX35BVVUVOaavr4+HHnoIoaGhd6zHmzx5MknjjImJQW5uLunRqoiJiQmmTJmCsLAwJbMped0kIDOjunbtGgwNDTF9+nSEhIRgzJgxaniWdyYhIUHJhK0rTk5OSmZR48ePx3vvvYeioiIkJiaioKAARUVFaG9vB4vFgrGxMZydneHm5oYZM2ZoRDR6OLl+/TpJ3Q8ICBjURoU8as5isWBqaqqW+SluMCim3N9NlJeXkzRkdb1ugPJrd/v2bSpsKZR7GCpsKRTKoJH3ZgRkaXWDTc2To7hgKSwsHLSwzc3Nxe7du1FRUXHH+4rFYly4cAEXLlzAnDlzsHz5cujo6Azq/MPFnDlzcPToUYhEIsTFxWHJkiVobW1FU1MTXF1dRzylWhUVFRX47bffkJaWRo7Je7Y+9NBD/arF4/F4mDp1KqZOnQqxWIzbt2+jrq4OEokEurq6cHBw6FHYTZs2DadOnVI61tzcjJMnT+LkyZNYvXp1t36jQ4GzszNYLFaPJlg9pak6OTkpRRHlj9fE93w4uXz5Mrk8ZcqUQY0ljw7y+Xy1ufDy+Xzyfjc1NallTE1D0RNAXf9HdB2rq4kehUK5t6DClkKhDJrW1lZSc6bO1jyKYzU2Ng5qrDNnzmDfvn1KQsHc3Bz29vYwMzODjo4OWVTW1taisLAQQqEQAHD27FncunULb7zxxqhI6zU0NERISAhiYmLQ0dGBTZs2Edff4RJmfaWjowOHDx/GyZMnlWpe3d3dsXLlykGnenK5XDg7O8PZ2blP958+fXo3YatIdnb2sLx+bm5ueOihh/DXX391u01HR6fPmzz3uqAFlNOQ9fT0Bl2v31fHbYoyipsAit/1waI4Fm33Q6Hc21BhS6FQBo3iQk+dC2nF2ta+tDHpiTNnzij1nDQzM0NQUJDK+kIzMzO4uLjA19cXubm5SEtLg0QiQWVlJT744ANs2rRJ4+sSxWIxaSECgIhaAErmQyMJwzC4ePEiDhw4oFRDampqiuXLlyM4OHhERJmTkxOMjIxURs1MTEzwwAMPDMs8SktLER0drfK2oKCgUZM9oAlcu3aNRPIGm4YMgJgVCQQCSCQStYgpgUBAfkcH4xSsySimzg92o1IRxbH628uZQqHcXVBhS6FQBo1iWxF5Ow11oGh8w+fzBzRGXl4e9u3bR657eXnBx8fnjoZQXC4XHh4esLe3R2xsLJqbm1FbW4uvv/4a77zzjkYaSgGy6NTmzZt7FLDqTAEcKEVFRfj555+VjI64XC7mz5+PxYsXj6hoY7PZ8PHxQUJCQrfbfHx8YG1tPeRzyM/Px9atW4nplb6+vpIB1r3iYjwYMjMzERMTA0dHR2RmZpLjg01DBmSbH6WlpZBKpWhsbFTLRlddXZ3S+HcjRkZGMDU1RX19Perr69W2KVBTU0Mu9zUzg0Kh3J1o5sqMQqGMKrS1tWFjYwNA1qJFXWlmcmdbAHB0dOz340UiEXbv3k0iIV5eXvD19e2XKDUwMMDcuXOJg2d2djbOnDnT77kMFw0NDb1GZUdS2DY3N2Pv3r146623lEStr68vPv30UyxbtkwjIpE9taqKi4vDsWPHhvTcGRkZ+PDDD4mQdXFxwbZt2xAREQFAlqI9fvz4IZ3D3cC+ffuQmJiIAwcO4Nq1awBkxmqDjehJpVJoaWmR6+oyelIcZyD9v0cLnp6eAGS/zXJfhsHQ0tJCPBPMzc1pxJZCucehwpZCoagFuXOwVCpVSn0dDIquxQNxJr5w4QKZi5mZ2YB76+rq6mLq1Knk+qFDh0j9raZhZWXVa//LkRC2EokEp0+fxiuvvIKYmBiy0WBjY4ONGzdiw4YNwxIJ7Sve3t6kvtvd3V3JVfqPP/4gvXLVTWpqKrZu3UpMdjw8PPDmm2/CyMgIK1euxDfffIO3335bY7MFNAlVr5FQKMQrr7yC3bt393u89vZ2REVFYf369YiNjSXH8/LyBv1b0NbWRn7rDAwMMGnSpEGNp8ko1qffunVr0JugN2/eJJdDQ0NpTTmFco9DU5EpFIpamDp1Ki5cuAAAyMrKgr29/aAWGbW1taitrQUgi9ba2dn16/EMwyjVKAYEBAxKEFhbW8PJyQlFRUVobW1FUlKSxqaEPvbYY7C1tcXPP//cbeGoGG0aDjIyMrBv3z7cvn2bHNPR0cEDDzyAyMjIYe8P2xf4fD42b96MkpISTJ48GVwuFyKRCH/88QcA4Mcff4Senp5a0lrlXLhwAbt37ya15JMnT8a6deuU3q97rUXPYLCysuoxmnru3DmsXLmyT+UNlZWVOH36NM6dO6eyzEJuTBUcHDygeTIMg6SkJPK+z5o1a9i/o8OJm5sbxo4di/z8fDQ1NeH69evw9fUd0FhlZWXIz88HIPtNmT17tjqnSqFQRiGat6KgUCijkokTJ8LS0hLV1dWorKxEcXHxgGvFpFKpUnuOOXPm3FEkt7a2Ijk5GXl5eSgqKkJTUxMxJTIzM1OLm/H48ePJYlmThS0A0p91x44daGlpIceHoh1GXV0djIyMlERqXV0d9u/fj6SkJKX7zpgxA8uWLdN4kWZlZaVkwHXfffehpaUFJ06cAMMw+Oabb8Dn8zFx4sRBn6urudnUqVPx7LPPaqToHy0ovnddmT17dq+ilmEY3Lp1C6dOncK1a9e6uSBPmDABU6dOxS+//IKOjg7k5eXB3Nwcrq6u/Z7nzZs3SVaJiYkJ7rvvvn6PMZpgsVh46qmn8NZbb0EikSA9PR16enr9Tq+vqanB+fPnyfUVK1bAyMhI3dOlUCijDPq/JoVCUQtsNhvLli3Dzp07Acj6RpqYmPR7scEwDK5evUrqa+3s7HoVkHV1dfjnn39w8eJF0nKoK/b29v2aQ09YWFhAS0sLQqEQBQUFYBhGo1PfPDw8sGXLFrz33ntE5Ks7FfnAgQM4duwYPD098cYbb0AikeDEiRM4evSoUoqms7MzVq1aBTc3N7Wef7hgsVhYvnw52traEB8fD4lEgi+++AJvvvnmgAQNIPusHz16VKmlT3h4OFatWkXTjQdJT6nt06dPx+rVq1Xe1tnZiQsXLuD06dMoLS1Vuk1LSwvTp09HREQE+T2RSqX44YcfAMg2ujo7O+Hp6dmn904ikSAtLU3J2GrNmjXQ19fv0/MbzYwZMwaPPPIIfv/9dwBAcnIyGhoa4OfnBx6P1+tjGYZBVlYWcasHZDX6oaGhQz5vCoWi+VBhS6FQ1MaUKVOQlJSE5ORkCIVCnDlzBrNmzepztFQikSA1NRXZ2dkAZGLi2WefVbnYYRgGCQkJ+PXXX7ulCLJYLLDZbLLwMTU1HeQz+9+4ZmZmqKioQHNzM5qbmzU+SmBhYYFt27bh66+/Bo/Hw9y5cwHIWgKVlpaioaEBUqkUfD4fDg4O/VpYZ2RkEDOljIwM/Pzzz7hx44aSS6mBgQGWLVuGmTNnjnqxxmKxsHr1arS1tSElJQWdnZ349NNP8e6778LBwaFfYzEMg99//x0nTpwgxxYtWoSHH35YozdLRguqIrbTp0/Hs88+2+1zWFdXh+joaMTGxiq5TwOybI/w8HCEhoZ2+27Mnj0b5eXlOHnyJAAgLS0Nt2/fJu7Zqt5HqVSKsrIypKWlKbWUWrFiBSZPnjzg5zvaWLBgAdLT03H9+nUAQG5uLkpLS0mqMp/PV3r9hEIhSkpKkJWVpdQezMvLCy+++CL9zlAoFAAAi6GdxikUihppb2/Hli1bSMoui8WCh4cHPD09ldoCKcIwDCorK3HlyhWlnoRr1qxRuROvShTweDyMHTsWjo6OMDU1xdWrV4lAjoyMhLm5uVqe34ULF4jr8Pbt24kb9GhAJBLh8uXLiIuLQ15ensoIt5WVFaZNm4bZs2f32saks7MTr7/+OqqqqlTezmazER4ejgcffPCui0IJhUJs27YN6enpAABjY2Ns2rSp1/RXRaRSKfbu3Yu4uDhy7NFHH73r01CHk4aGBjz//PPkeldRyzAMcnNzcerUKSQnJ3frk+3m5oaIiAgEBAT02pKGYRj8888/OHz4sFLKsoGBASwtLWFiYkJqtOvr61FVVaXUxozD4WDlypUIDw9X11MfFeTl5eG9997rsT+5jo4ODA0NwWKx0N7erlROISc8PBwrVqy4q2uSKRRK/6DClkKhqJ3W1lZ89tlnSi1d2Gw27O3tYW5uDmNjY7DZbHR0dKC+vh6lpaVobm5WGmPatGlKC1NFDh48iEOHDpHrLi4u8Pf3V0qzTUlJQVZWFgBg3rx5amsDce7cOdKmYseOHaOmvURKSgp++uknpY2D3mCz2Zg3bx4efvhhlenL+/fvV9pYUMTT0xOrVq3qdxRzNCEQCPDhhx+ioKAAgGxDYNOmTTA2Nu71cWKxGN988w2pIZdHgWkqpXphGAZPP/002traMG7cOLz33ntgs9kQi8VISkrCqVOnyHsnh8PhIDg4GBEREXBxcenX+bKzs7Fnzx7SeqYvODk54dlnn8WYMWP6da7RTktLC958803Su3fWrFlobW1Fampqt3pmVTg7O2P58uXw8vIa6qlSKJRRBhW2FAplSJBIJDh+/Dj++ecfiMXifj+ex+Pho48+6uaGnJWVhQ8++IAsgKZMmaKyxjEjIwOpqam93mcgHDt2DI2NjWCz2fjxxx81PlogEonw/fffE8dqOfr6+jA3N4ehoSHYbDYEAgHq6upQV1entLi0trbGK6+8olSnnJubi/fee0/lIpTFYmHLli1wdnYeuielITQ3N+ODDz5AWVkZAFnt4DvvvEN6Hnelo6MDO3bswI0bNwDIhNTzzz+vVnflexGhUIiqqiqIRCJwuVxYWVlBW1sbQqEQ5eXlcHR0RHNzM2JiYnD27NlumzuGhoaYM2cO5syZc8eNid4Qi8VITU3F2bNnkZmZqTIayeFwMHHiRISHh2PixInIy8vD0aNHMW/ePLUYkWk6UqkU27ZtIynIbm5uePvtt8HlclFTU4OEhATk5uaisLCQpIXzeDw4Ojpi7NixmDZtGsaOHUtTjykUikqosKVQKENKTU0Nzp49i/j4eJXpZHI8PDwwZ84cZGVlkTY9zs7O2Lx5M3GHFYvF2LhxIyorKwEAPj4+8Pb2VjleVVUVzpw5AwAYN27cgNtxKCIUCvHXX3+BYRiMGTMGn3zyyaDHHEpEIhE+//xzsogEZGZcEyZMgIWFhcrFYXt7O7Kzs5GZmUlqlPX19fH2229jzJgxkEqleOqpp1S2PpEzZcoUvPTSS+p/QhpIXV0dNm/eTFpTubm54Y033ugW5W5ra8O2bdtIFoOWlhb++9//3tU9S4eSmpoaxMTE4Nq1aygtLVUSkSwWC/b29pg4cSLc3d2RkpKCxMTEbhtsTk5OiIiIQHBw8B1Ni/qLUChEcXExKisrIRaLwePxYGtrCwcHB6VzrVmzhqQmh4aG4tFHH+1xY+Ru4NChQzh48CAA2YbCRx99pNIDgWEYSCQSSKVS8Hg8KmQpFEqfoMKWQqEMC2KxGGVlZSgsLERtbS0kEgl0dXXh4OAAFxcXYsIkFArx5ptvkhYYDzzwAB566CEAwKVLl/DVV18BAMzNzTFv3rweDYlEIhH+/vtvSCQS8Hg8PPjgg4NevGZlZSElJQWALL151apVgxpvqPnhhx8QGxsLQBYpmjJlCpydnfu0SGxqasKFCxeIO7WJiQm2bt2Kzs5OvPjii70+NiQkBM8+++zgn8AooaKiAps3bybp9JMmTcL69evJhkxTUxM++eQTksKuq6uLV199Fe7u7iM259FKc3MzfvvtN1y8eLFPaatdYbFYCAgIQEREBMaPHz/igmn16tVKm0SGhoZYsWIFpk+fPuJzUzc3btzA1q1biZv8m2++SdOJKRSKWqHClkKhaBwFBQXYtGkTJBIJ2Gw2Nm3aBFdXV3zwwQekPUZ4eHiPLT3kXLp0CXl5eQCAyZMnY8KECQOek1gsxrFjx0h63CeffKLRtXHXr1/H1q1bAchEbVhYWJ/NjeQIhULExMSQaOT06dOxdu1abN++Hbm5ubCwsICNjQ309PTIn5mZGXx8fDQ+RVvdFBUV4YMPPiAiZerUqVi7di3q6+vx8ccfk9pLQ0NDvP766wPu8Xwvc+PGDezatatbPT6bzQaHwwGLxVKK9HXF398fjz32mFp6WquLTZs2ITc3t9txd3d3PPnkk2prVTbS1NXV4Y033iC/nw8//DAWL148spOiUCh3HbTdD4VC0ThcXFzwwAMP4ODBg5BKpdi1axc2bdpEzKAMDQ37JNLc3d2JsL1+/TocHBwG3J4nLS2NLMq8vLw0WtRKpVL8/PPP5Lq/v3+/RS0gS5edOXMm/v33X4hEIly4cAFz5szB+vXr1TjbuwMnJyds2LABn3zyCUQiERITEwHIovzyqLeZmRneeOMN2NrajuRURyUpKSnYuXMnSY9nsVjQ0tKClpaWyqwNqVQKkUiEzs5OEtlNTU1FYGCgRglbKysrlcI2KysL77//Pnbs2AE+nz8CM1MfYrEYX375Jfn9nDx5Mu6///4RnhWFQrkbGd1NBSkUyl3LokWLMG7cOACyetm9e/eSBaqlpWWf0vRMTEzg4eEBQLbQjY2NRVtbW7/nkp2dTUQ1ADzyyCP9HmM4uXHjBmnDY2lpOSjjLD6fD19fX3JdXrdM6Y6HhwdeeuklIrQSExOJqLWxscGmTZuoqB0ABQUF+Oqrr4io5XK50NfXh46OTo+lCGw2G9ra2tDX1ycp4QzDYPfu3STrQxPozaxKKBSS5zya2b9/P9lgtLCwwHPPPTfqe1pTKBTNhP6yUCgUjYTD4eC5554jJjxyh2MAKs1GesLHx4csHltbWxEVFUXqd++ESCRCSkoKkpOTu82tsbER7e3tEIvFA6r1G0oSEhLIZQ8Pj0HX6o0dO5a8D5cvX1bqw0lRxs/Pr1s0ysTEBO+++67aeinfSwiFQnz77bfE+InH44HP5/dZGLHZbPD5fJIaL5VKsXv3bnR0dAzZnPuDiYmJyuNmZmbYuHEjDAwMhnlG6iUpKQmnT58GINuQWLdu3V3X15pCoWgONBWZQqFoLDY2NlixYgV+/PFHpePyCExf4HK5CAsLw5kzZ9DS0gKBQICYmBg4ODhg/PjxsLa27ib8Ojs7UVBQgMzMTJUR3rfeekvpujwtksfjkfRIxT9VxxWPDeR2DofT43OWpzbyeDy11OhxOByMGTMGubm5kEgkKCoqgqen56DHvRu5du0aTp48qXSsoaEB169fR0hIyAjNavRy6tQp0k6JzWZDV1e33xs1LBYLOjo6kEgkkEgkqKmpwdGjRzUi86KniK2dnR3JNhlNREdH4/r161iwYAEMDQ2xZ88ectuqVav63R+YQqFQ+gMVthQKRaMJCwtDamqqUssakUjUrzH4fD7mzZuHixcvEhOf27dv4/bt2+DxeDAxMYGuri6kUimam5vR1NTUr/EZhkFnZyc6Ozv79bjBwGazVQphNptN0l9NTU3VlvJnZmZGBHNhYSEVtipISkrCN998Q9JHraysSEr4nj17oKenBz8/v5Gc4qhCLBYrbRLw+fwBZx+wWCzo6uqSOs/Y2Fg88MADI25yNm7cOLDZbEilUri4uKCmpgYtLS24ceMGLl++PKp6HDc1NeHnn38GwzBIS0uDgYEBiYxPnz4doaGhIzxDCoVyt0OFLYVC0WhYLBaefvppbNiwgTjONjQ09HscXV1dhIWFITc3F9evXycLLpFIhOrq6j6Pw2azERQUBKFQCKFQCJFIRC53vd5fAd4fpFIpOjo6ek2pVGcao+JYXV1pKTKhpFgHHhQUhLVr12L//v04c+YMpFIpdu7ciddee41uCtwBoVCIxMREHDlyhHzWuFxur1kKfYHD4YDH40EkEqGlpQWpqalq6W89GCwsLPDhhx+iubkZXl5euHLlCnbs2AEA+OWXX+Dt7T1q+toWFBSQzz/DMOS9s7Ozw+rVq++69kUUCkXzoMKWQqFoPCYmJnjiiSewa9cuADIzKXkvxP7AYrHg5uaGsWPH4vbt2ygsLERpaanSfdhsNsaMGQN3d3cYGhoiJiYGdXV15HYdHZ079nGVI5VKIRaLexTBPYnhwdwur0VUN3RR2jPHjh3DgQMHyPVZs2ZhzZo1YLPZWLlyJdra2nDx4kWIRCJs374db731Fk3JVEFDQwOio6MRGxvbbfNEXZFVubAFgJycnBEXtgDg6OhILgcEBMDX1xdXr15FY2Mj/vjjD6xevXoEZ9d3ioqKVB4XCASoqKigLa4oFMqQQ4UthUIZFUyfPh379+9HU1MTWlpaUFlZCRsbmwGNxeFw4OTkBIlE0k3Y3n///Xj44YfJ9fnz5+PMmTM4cuQI2tvbiVNzX1BMFx4u6urqiPAeiAN0TyiONVoiSH2lo6MDubm5KCwsRGVlJUQiEbS0tGBrawsXFxeMGzcOPB6v2+MYhsGff/6Jf//9lxxbsGABli9fTjYC2Gw2nnnmGbS3tyMtLQ0CgQBbt27Fu+++Czs7u2F7jppMXl4eTp06hcuXL/foAjzYaK0cxfr8goICtYypTlgsFh5//HGkp6ejs7MTMTExmDFjBtzc3EZ6anekJ2FbX1+PTz/9FDt37uyXPwKFQqH0F/oLQ6FQRg3Lly/Ht99+C0DWV9bKymrANaQikUipbleOVCpVuq6lpYWFCxdi1qxZyM/Px/jx4wd0vuHC1NQUhoaGaG5uRl1d3YAi26pQjFrfLZGXiooKnDp1CufPn79jSvesWbMwb9484sgt7xV89uxZcr+HH34YixYt6vZ6c7lcvPTSS/jkk0+QnZ2NlpYWfPLJJ9i0adM965QsFouRkpKCU6dOdevjymazERAQgIKCAtTU1ABQX8YAi8UCi8UCwzADKmkYDszNzfHwww/j119/BQD88MMP+OijjzReFPa2UcBms9W2OUGhUCg9Qdv9UCiUUUNwcDARAnV1dbh58+aAxmEYBleuXCFRSEWh1lMqr76+PiZNmgQdHZ0BnXO4YLFYJKosFApRWVk56DGlUilKSkrI+KM9jVYikeDIkSN47bXXEB0dfcfWLy0tLTh27BheffVVxMbGQiQSYdeuXUqi9oknnsDixYt7FGDa2trYsGEDSTutq6vDxx9/fM/VK9fX1+P333/H888/j6+++kpJ1HI4HBgZGcHAwAApKSlE1AJDkwqvaW26FJk3bx6cnZ0BAKWlpTh+/PgIz6h3WlpalDa/5LDZbISEhGDTpk20nIFCoQw5mr39R6FQKArII1/vvvsuAODGjRvQ0tLqV1sMuWNnXl4eAJngeOCBB/DFF18A6L/jsiYyffp0XL16FQCQmZk54JRtOSUlJaR3ra+v76juQ9ne3o7PP/8cGRkZ5BiXy4WTkxMsLS1hYmICLpcLkUiE+vp6VFZWoqSkBFKpFAKBAD/88AMOHz5MFvFsNhvPPvsspk+ffsdz6+np4fXXX8d7772HqqoqVFRUYOvWrXjrrbfA5/OH7DkPNQzDoK2tDY2NjT3+1dbWor6+vtcacIlE0qMjuboyDxiGIYJWk19zNpuNNWvW4O233wbDMDh8+DCmTJkCa2trALLnUV1djZqaGojFYmhra8POzg6GhoZqOT/DMCgsLER+fj6Ki4vR2toKFosFExMTODk5wc3NjcwFgNL3CZB9p2bOnIn77rsPlpaWapkThUKh3AkqbCkUyqhi3LhxWLp0KQ4ePAgAuHLlCqqrqxEYGAhdXd1eH9va2opLly4pRTGfeOIJWFlZketDZb40nPj7+8PExAQNDQ0oKytDcXGxkkFNf+js7MSVK1fI9Tlz5qhrmsOOUCjEtm3bkJ2dDUAWBfT09MSECRNU1kGbmZnB1dUVAoEAaWlpyM/PB/C/tGwul4t169b1q4WPkZER3nzzTWzevBn19fUoLCzE559/jo0bN45465muiMViNDU1KQnUpqYmNDQ0kMvy4+r63rBYLBgZGcHY2Bitra2ora0FIBO96kjFVSw1GOh3YrhwdnZGZGQkTp48CZFIhL1792LRokWIiYnBrVu3VNbQm5ubw9/fH3PmzIGtrW2/zykUChEXF4fo6GiUl5f3el8PDw/MmzcPAQEB8PDwIMZcgYGBeOyxx2BmZtbv81MoFMpgYDGanItDoVAoKmAYBnv37kVsbCw5xuFw4OzsDEdHR5iZmUFbWxuAzJGzrq4OhYWFJPImZ/ny5Vi4cCHKy8uxYcMGAMCMGTPw3HPPDe8TGgISEhLw3XffAZDVCc+bNw/Gxsb9GkMikSAhIQFlZWUAAB8fH7z66qujNqVw3759OH36NADZazJ79ux+RZNKSkpw4cIFYnAUHh6OJ554YkBzKS0txfvvv0/6qvr5+eHll18e8jpEhmEgEAiURGpX8Sr/a2lpUfv52Ww2LCws4ObmBhsbGxgbGyv9GRoakrr5+Ph47NmzB4Ds/brTxlVf6OjoIP2mV65ciYiIiEGPOZR0dHRg48aNROD3hylTpuDxxx/vcxQ3NzcX33333R0FbVe8vb3x1FNPwczMDFKplNbSUiiUEYNGbCkUyqiDxWJhzZo1aG9vR1JSEgCZCMvLyyMpxjweDwzD9BpJysvLA8MwSpGguyFiK2+bIkcoFOLMmTMICQlRSh/sDYFAgIsXL6KiogKALG1zzZo1o1bUZmZmElHL4XAwZ86cfkeUxowZg5kzZ5INlfj4eERERPSa6i0SiXDjxg3Y29srZQbY29tj48aN+PDDD9HZ2YnU1FR8//33ePrppwdkiCaVStHc3IzGxsZexWpTUxMRdurA0NCQRFi1tbVRV1eH0tLSbin9lpaWiIiIQEhISJ9TgP39/fHzzz+TVlY6OjqD+vwxDAOhUAhA9hkICgoa8FjDhba2NiZMmID4+Hil4ywWCxwOB2w2m5hhSSQSJVfppKQkpKen44UXXoC3t3ev5+nahxkATF09YOMTCKMxztA1MZWlnFdXorEoH2XJF9BaJRPAN2/exOuvv45XX31V4831KBTK3Q2N2FIolFGLRCLBpk2b+ty2w8DAAMHBwbh48SJJ43v22Wfh7e2N559/HoCsj+R///vfIZvzUFNUVITPPvsM9fX1AEAWvXJcXV3h5eUFAwMDlY8XiUQoLCzEtWvXiADi8Xh47bXX4OnpOfRPYIj44IMPkJmZCUAmmPpTl92VlJQUZGVlAeg9wp+ZmYm9e/eivLwcfD4fX331Vbeo482bN7Ft2zayoRIZGYn//Oc/RMB1dnb2WrsqF6tNTU1qM0PicrndIqnyPyMjI5iYmJDoKofDQXp6Ok6dOoW0tLRuc5gwYQIiIiLg4+MzIMG+Z88eIuoGG7UVCARE2AYFBWHdunUDHmu4+OOPP5TaSbHZbGhra4PH46kU+VKpFCKRCJ2dneS94HA4+O9//wtfX1+V51CMjAOAkaMLJi5fAyMHpx7nxTAMqm9exc0/fkJHo+y3RltbG2+//TbGjh07kKdKoVAog4YKWwqFMqqpqqrC66+/rjIKZWZmBisrKzg5OcHV1RWTJ0+GlpYWLl++jC+//BIAoKuri7fffhtvvfUWAFm67caNG4f1OaiLlJQU7Nq1i7wWZmZmeP755/HPP/8gPT1d6b5WVlYwNzeHoaEhWCwWBAIB6uvrUV5erhRtMzAwwMsvvzwoITjSlJaWkvfU0NAQ999//6AifyKRCIcOHYJQKASPx8NXX32llO7Z2tqK33//vVuU7f3338e4ceMglUrR2tpKhOnVq1cRHR1NhIi5uTl4PB4aGxshEAgGPM+u6OnpEXFqbGxMBKpcrMqP6+np3fH16ezsxMWLF3H69Gncvn1b6TYej4fp06cjIiICDg4Og5pzTU0NXnvtNeJcraurO6BaZJFIRAzQeDwePvroI43vIxwXF4fvv/+eXNfW1oa2tnafPrtyszP5hgmPx8OWLVu6vR+3b9/GW2+9Re7nHBoJjweWg93HdGJRextSf9iJ2iyZQ725uTm2bt2qlrRxCoVC6S80FZlCoYxqLC0tMWXKFCQkJHS7beHChZg3b16340FBQQgJCcG5c+cgEAjw888/k9tGYyoywzA4duwY/vzzTyKOxo0bh1deeQXGxsZ44403EB0djT/++IOI3qqqKlRVVfU6bmBgIJ544gkYGRkN+XMYSi5fvkwuu7m5DTqdmsfjYezYscjMzIRIJMK1a9cQEhIChmFw5swZHDx4UKWxzzfffAORSISmpiallNGu9KeeUt4iR1Gw9hRpVYc5VV1dHaKjoxEbG0vqg+WYmppi7ty5mD17do8ZAf3FwsICy5cvx48//ggAROj3FLHsCsMwEIlEShsES5cu1XhRW1NTQ/rYAoCOjg7xDegLbDYbfD4fAoEAIpEIIpEIu3fvxubNm0nphVQqxXfffUd+8xxDwuH54H/69f3g8fUQ8Ox6JO38CA0FOaitrcWBAwfw5JNP9nkMCoVCURdU2FIolFHNjz/+qFLUAui1h+vKlSuRmZmJmpoapV6ao03YikQi/PDDDzh//jw5Nm3aNDz11FNEyLDZbMybN49sAMTGxqK6ulrleNra2pgyZQrmzJmj8SmFUqkUZWVlsLCw6LW/sGKqur29vVrObWdnR1KbCwoKEBISgvfff584LqviThsJXTE2Noa1tXWPYtXAwIC0r9HV1R2y9jUMwyA3NxenTp1CcnKykgEbINssiIiIgL+/v1qci7sSFhaGoqIiUtssF2s6Ojq9GhVJJBJ0dHQofaenTp2KBQsWqH2O6ubAgQMkSs3j8folauWwWCzo6upCIpFAKpWisLAQ8fHxxNk8NTWVfDf0rWzh+eCKAW36cLS04PP4czi35XVIhJ2IiYnBokWLqCsyhUIZdqiwpVAooxaRSISYmJgeb+9N2PL5fDz33HN4//33lY63t7fj9u3bxBRHk2lqasIXX3yBnJwccuzhhx/GokWLVC5QjYyMcP/99+P+++9HQ0MDCgoK0NDQQISRo6MjbG1tR42r6YEDB3DixAloa2sjMDAQISEh8PDw6FbLWVpaCkAmENTVg9fU1JRclqfiFhcX3/Fxd4qqXrhwgQi4lpYWPP300/Dx8SGPr6ysRFxcHDIzM1FcXKyUNm5mZgYXFxcEBQUhMDCwzyKzvb0d3333HRoaGvDiiy/CwsICgGyTJykpCadOnepWx87hcBAcHIyIiAi4uLj06TwDhcVi4cknnwSPxyMGYGKxGK2treBwOOByueBwOEomSmKxuFtUfNasWVi9evWAan2Hk/r6eiQnJwP4nzgdKPLHyzMIzpw5g7CwMLBYLJw9e5bcz2PJCnB4A4/o65lbwSVsPnKjDoNhGMTExODhhx8e8HgUCoUyEKiwpVD6SFNTE2lW39bWBhaLBWNjYzg7O8PZ2ZnWFI0AXC4XixYtwr///qvSOEfepqYnGhsbweFwlBbAJSUleO2118BisfDyyy8jICBA7fNWByUlJfjss89I2qqWlhaee+65Pju9mpiY9Kv/qiYij7R3dnbi/PnzOH/+PMzNzTFjxgxMnTqVpJvK01AH66qriLzWUd4+BwCeeuop/PLLL2hqalL5mNmzZ+Opp57qddzx48eDYRjExcVBIpFgx44deOONN2Bqaop9+/bh6tWrPT62rq4OdXV1SElJgZGRER588EGEhob2KuSkUim+/vprXLt2DYBss2DVqlWIiYnB2bNn0djYqHR/Q0NDzJkzB2FhYTAxMen1uagTNpuNVatWYcKECdi7dy+ZV1cnYFUYGBjgiSeewJQpU4ZhpoPnwoULJCqupaU16M+sXPhLJBKUlpYiPz8ftra2uHXrFgCAb2YBS69Jg573mOmhyDt9FIxUipSUFCpsKRTKsEOFLYXSC1KpFKmpqTh79ixu3rzZ4/14PB6mTJmCuXPnanz65t0Ei8XCI488gqCgIBw4cKDbe1RbWwuxWNxj5Co1NbXHRTHDMLh9+7ZGCturV6/i66+/JqmKJiYmWL9+/ZBHzjSBzs5O1NfXo6GhoVtLGUD2nh8+fBiHDx/GzJkz8cwzz5AI9J0EUH+QSqVKrrMAEBwcjODgYJSVleHcuXM4d+6cksjtS5o7i8XC6tWr0dbWhuTkZAiFQnz88cdgsVjdDNIMDAxgZGQENpuNjo4O1NfXk3M0NTXhxx9/xOXLl7F27doeRej+/fuJqAVkLWKuXLnSba6Ojo6IiIhAcHCwWmp1B4qfnx88PDxw/vx5REdH99pz1crKCnPmzMHMmTPVFqkfDhQzMHg8nlrG5PF45POfm5sLoVBIPr8WnpPAUkMUW9fEDAZ2Y9B8uwjl5eXo6OjotUSAQqFQ1A0VthRKD1RWVmLPnj2krUdviEQiEjGaPXs2VqxYMWT1bpTuODk54Y033sCNGzewf/9+JZfWtrY2klLMMAzq6+tRUFCA6urqXiNZLBYLwcHBQz73/sAwDE6ePInff/+dLEpdXFywfv36YY2eDQVSqRQtLS2or68nwlXVv3Jn275w48YNALIU3aamJrS3t0MoFKpFmCkKVnNzc6Xb7Ozs8Oijj+Khhx7CtWvXkJCQgLq6OlLbeCfYbDaef/55CAQC3Lx5k7SoAWQp9O7u7nBxcemWJcIwDCorK5GTk4OSkhIAQHp6OjZv3oy333672zxjY2MRFRXV7fxyUctiseDv74+IiAi4u7trTA9jPp+PefPmYe7cuaiurkZhYSHKy8vJe2ttbQ1nZ2dYW1trzJz7Q1FREbmsrrRpxc29wsJCpXGNxjir5RwAYOTghObbRWAYBmVlZXSjl0KhDCtU2FIoKkhNTcXXX3+tFCExMDCAg4MDzMzMwOfzwTAMmpubUVdXh+LiYrL4jIuLw61bt/D666/DxsZmpJ7CPcnEiRMxYcIE/Pvvvzhx4gRcXFxgZGSE1tZWJCQkICYmpte6W0UmT56sUe+fWCzGjz/+qNRCJigoCM8+++yAjGWGE6FQ2KNQlV9uaGhQa0RVW1sbq1evBiAT//Ia0draWtja2g56/JqaGnLZ2Vm1MOByufD394e/v3+/x+fxePD391fKQhg3bhz8/Px6FOYsFgs2NjawsbFBeXk5Ll26hPb2dlRXV+Pjjz/Ghx9+SCJoV69exd69e3s8f0REBCIjI0m9rSbCYrFgZWUFKysrCAQCaGtra3z9bF+Qb5qw2Wy1CXPF16WpqUnp/zYtPfVFs7X0/9f2Sp5RQqFQKMMFFbYUSheuXr2KHTt2kEW2vr4+/P39YW9v322RYWVlBVdXV/j7+yMvLw9paWkQi8WoqanBBx98gHfffRfW1tYj8TTuWdhsNhYvXozFixeDYRhcuHAB+/btU9l+pTcaGxvBMIxGRHxaWlqwY8cO4sILAEuWLMGSJUtGdCHPMAyJsvYkXBsaGrq1hRkIPB4PJiYmMDU1Jf82Njbi4sWLSvdjs9lYsGABHnzwQSIAPT09iVFOXl6eWoRtXl4euezp6Tno8bpSU1ODAwcOkOu+vr7w8vLq8+NtbW0RGRmJM2fOoKWlBRUVFThw4ACeeOIJNDQ0YPv27Srr0uXY29trtKhVJCoqCr/++iu0tLSwa9euUZct09raisrKSlRVVaGyspLU1w7Vbw/DMEq/G1I1OsFLxf8rDxgtJnQUCuXugQpbCkWBmpoafP3110TUOjk5YcqUKXesc+JyuXB3d4e9vT3i4+PR0NCAxsZG7NixA1u2bBmSFhiU3pH3bbx06ZLScUtLS1haWsLY2BgcDgednZ1oaGhAeXk5WlpayP0KCgrw7bff4rHHHkNUVBT09PQwf/78YRe6ZWVl2LZtG2nPw+Px8Mwzz2Dq1KlDel6RSNSrWK2vr0djY6PKOtf+YmBgQASrXLQqClgTExPo6+t3e+0zMjKUhK2TkxOefvppODk5Kd3Pz88PhoaGaG5uRklJCRobG2FsbDzg+ZaXl6Ourg6ArPZ0KNItf/nlFxLxGjduXL9ErRw+n4/Q0FAcP34cEokE0dHRCAkJUaqv7ImMjAyEhoYOaO7DiVAoxN9//00uHzlyBMuXLx/hWXVHLl7lf3IRW1VV1ePGj7yOWx2/OYotmvT19ZU2LVoqSgc9Phmr/H9jjZaNEQqFcvdAV9sUyv/DMAz27NlDFpOOjo6YNm1avyJi+vr6CA8Px6lTp8gi+siRI1i6dOlQTZuiArFYjB07diAtLY0cc3JywsSJE3ts4cMwDCoqKpCamkocVy9cuICUlBSStufk5DQggTFQrl+/jp07dxLXXSMjI6xfvx7jxo0b8JgMw6Ctra1bOrBiSnB9fb2SyB8oXC5XSax2/Vd+eaAGOW5ubnB1dUVFRQUWLVqEiIgIlVEiHo+H8PBw/PPPP2AYBomJiYiIiBhQtFsoFCIpKYlcj4yMVPtmR1VVFVJTUwHIxOlg3KsNDQ3h4+NDxjt9+jTWrl2LiIgIZGRkkF64AoGA/GlpaSEkJEQtz2WoOXXqlFLKa2JiIpYtWzbsmQwMw3SLvCpe7m/GiHxMdQlbxTR/JycnpfT5+oIcVQ/pN1KxGE3F+QBknzvFllgUCoUyHFBhS6H8P7du3UJ6ejoA2WJyypQpA1ocaWtrY/r06YiKigLDMDh27BgiIiJGlSvnaOevv/4iopbD4WDatGlwdHTs9TEsFgu2trawsrJCWloaSftVrEUrLCwcFmHLMAzOnDmDX375hUTWHB0dsWHDBpiZmfX4OLFYrCROe/pXHVFWfX39HgWr/F8DA4MhjXBzuVy899573VIrVXHffffh0qVLJNp64cIFTJ8+vV/fcZFIhPj4eCJSPD09MX369EE9B1XExcWRy+7u7oM2u3JzcyMmVElJSVi5ciVWrlw52GmOOM3NzTh69KjSsfr6ely5cgWBgYFqP5889V4uWBUFbGVlZb+MzeSYmZnB2toaVlZW5N+bN2+S1HmRSKSWGnrF7/zYsWNhYWEBCwsL1NTUoC4nA201VdCzsBrUOSquJUMkkL0Gnp6eGlHGQaFQ7i2osKVQ/p/o6GhyuTeDlr5gZmYGNzc3ZGdnQyQSISEhAQsWLFDHNCl3IDc3FydOnAAgq7cMDQ3tV50zh8OBv78/OBwO6fMop6KiQq1zBWSL8/Pnz2PSpEmwt7eHWCzGL7/8Qha2AODv74+VK1eivb0dpaWlPQrW5ubmQc+Hw+GQKGtPEVZTU9MRbfmiCIvF6tMCWt7n9/3334dIJEJxcTE6OjoQHBwMAwODOz6+vr4eiYmJaGhoACAT9k8//fSQRAYzMjLIZXW0cOJyuXB2dkZ2djbEYjHy8/MxadLg+5aONP/88w/JZlAkKipqwMJWUbx2TRkeiHhlsVgwMzMjwlVRxFpaWqr8HtnZ2ZHvv9zpeTAiUSKREKdrc3NzeHh4gMViISwsDH/88QfAMMiNOgyflc8O+BxSsRh5p/8l1/vqAE6hUCjqhApbCgUy98arV68CAHR1dTFmzJhBjzl+/HhkZ2cDAC5dukSF7TBx4MABEuWcNGnSHUWtPIWwvr6eRGd1dHQwbtw4VFVVKbnf9tVRuT988803uHnzJv7++2/cf//9uHDhgtJ59PT0cOPGDbz00kuDPhefz+9VrMqjrHeDs6wqxo4di5dffhlffPEFxGIxqqqqcOzYMbi6usLV1RVGRkZKAoJhGNTV1SEnJwcFBQVKdan+/v6wtLRU+xwlEglp1WNgYNCtpc9AMTc3J79HhYWFo17YlpWVISYmRuVt2dnZyM/P77H2We5o3zXiKo/CDlS8KopW+eWexGtv2NrawsvLC+np6ZBKpejs7BxwP1h5mrmc0NBQ8v2eNWsWjh49CoFAgNKkc7DxDYLVhMkDOk/uqSNoKZN9bp2cnODh4TGgcSgUCmUwUGFLoUDWN1BurmFvb6+Whb2RkRGMjIzQ1NSE4uJiiESiAdcSUvpGSUkJ6TtsZGTUq1ttc3MzESyK6caKdE0BLCsr6/Nc5AvK3lKCa2trSS2rUCjEwYMHu43Tl9o8NpsNY2PjXtOCTUxMBrw4vpuYPHky3nzzTezatQu1tbWQSCTIyspCVlYWtLW1YWxsDC6XS8yzekrbjo+Ph7e3t9p7Hbe0tJDWYYaGhne4d99RrC2vra1V27gjxcWLF5UMkbqSkJAAc3PzbpFX+WVVkd7eYLFYMDc3V0oZlgtYS0tLtf+2r1ixAu+88w4kEgk6OzvB4XAGdI7Ozk5SX2thYYGIiAhym6GhIVasWIEffvgBAJD249cIevENmDj3r4a/JDEeuScPAZD9Fj311FM0DZlCoYwIVNhSKACJkABQq+GFqakpmpqaIJFIUF5efsc6T8rgUHTIHT9+vMoNCrFYjLS0NCKAe6Or4G1ubibmOk1NTb2KVsUI8GDQ1dW9owGTkZHRXRtlHQrc3d2xdetW/PXXX4iLiyNCsrOzE1VVVSofw+fzERkZCR6PJ0vfBLB7925YWVmpJV1YjqLJjzrbpSiOpc5+wSOFl5cXoqKievyOxcfHK6Xz9wW5eO2aMiyPvA7nxqSTkxMWLVqEQ4dkgrG9vR26urrg8Xh9Eo0Mw6Cjo4N8tgHg6aef7ra5NXv2bKSlpSE1NRXiDgGSvvwQHg88CscZc8C6w2+KRNiJrKN/ojDuFDm2dOnSHvs6UygUylBDhS2FAiilnqkr9a/rWAMxFqH0j/z8fHJZVTp5c3MzYmNjlRx/2Ww2bGxsYGZmBj09PQCyqFldXR0qKyu7tUV58cUXIRAI7tguZTC4urriqaeegpmZmVo/j5T/oauri1WrVuHBBx/E+fPncePGDRQWFirVKZuamsLZ2Rm+vr4IDg6Gjo4OGIZBeXk5zp07B5FIhO3bt2PLli0wMTFR27zkKLr9DhbFCOVo+kwxDIPGxkaVTsO9CTxxD71ZWSwWLCwslCKuiuJVk1qzLVmyBKWlpUhOTgYgew9FIhF0dHR63PRgGAZisRgdHR1KEe1Vq1apNL5jsVh44YUXsG3bNmRkZEAi7MStP3/G7UsJcJo1DzY+AeDqKH9eOpoaUHr5AorPRUNQ/7/of2RkJBYtWqSOp06hUCgDQnN+wSmUEUSpWX0v6W39RXEsGlEbeoqKigDIomtdF+/Nzc04ffo0EQscDgcTJkyAm5tbjym6AoEAWVlZyMjIIO9lXzcotLS0YGJiAicnJ1haWnaLtsbFxZFoTFdyc3NRUlICe3v7Pp2L0j/y8/OxdetWSCQSvPfee4iMjERkZCRJHxeJRNDS0lIpAFksFlavXo3Kykrk5OSgoaEBn3/+Od555x21GGrx+XyYm5ujtrYW9fX1amv3Ul9fTy6rw0NAncjFa0+GTf3NfGCz2UriVVHEWlhYaJR47Q02m40XXngBP/74I+Lj4wHIBHtrays4HA75A2SvodwkSnHTjcPh4PHHH0dYWFiP59HW1sbGjRvx22+/kSh3U0khrv+yG9d//Q56ltbQNTYFI2XQVlOJjsZ6pcfzeDwsW7YMERERNAWZQqGMKKPj151CGWIU04/V4Syraiza029okUqlRHTy+Xyl28RiMeLi4oioNTExQUhIyB1rGHV1dTF58mQ4OTkhISGBRHrZbDbpMdkTQqEQVVVVqK+vR2hoKEJCQohQEolEOHbsWK/nbmpq6v0JUwbElStXsHPnThLRi4qKwtNPPw1AJlq7fnZUwePx8N///hfvvPMOamtrkZ+fj++//x5r165Vy8LexcUFtbW1EIvFqKyshI2NzaDHVKwPV2fqdF9hGAYNDQ0qI69VVVWDEq83btwAIDNdWr9+/agSr3eCy+Xi6aefho+PD3788Ufyf4pEIrljSrmzszOeeeaZPm1kaGlp4cknn0RgYCD279+P4uJi2Q0Mg7aqCrRVqXaE9/HxwWOPPaaWzyiFQqEMlrvjl59CGSSKNUHqMlaRSqWoq6sDIFuEnThxAkFBQT3WflIGR1c3W0XS0tLIgtDExATh4eH96g1pYmKCefPm4fTp02hpaekW1dfS0oKpqSl4PB7pJSsX0SKRCKdPn0ZqairWrl0Ld3d3pKenqzQl4vP5GD9+PCZNmoTQ0NA+z49yZ6RSKf755x8cPnxY6XhfWv2owsjICOvXr8d7772Hzs5OXLx4EQ4ODrj//vsHPEehUIhz584R92IAyMnJGbRokAtKQCb+HBwcBjVeT0ilUhJ57eo4XF1d3W/xyuFwuqUNyy+bm5uDy+Wivb0da9asASBrs3a3CqzAwEB4e3vj4sWLOHv2rJIvhCIsFgve3t4IDw/H5MmT+/1/zYQJE/DRRx8hNzcXFy9eRH5+PkpKSshGkK6uLpydneHq6oqZM2f2q5UahUKhDDVU2FIoAGxsbGBoaIjm5maUl5dDIBAMug6trKyMLOSkUinOnDmDM2fOwMjICP7+/ggMDISHh8ddE1kYaVgsFoyNjdHY2IiWlhaSwtnS0kKMojgcDmbMmNEvUStHV1cXM2bMQFRUFBHOzs7O8PT0hImJSTdhLXddzs3NhUQiQW1tLT7++GO8/PLL8PLygpmZGZqbm+Hq6orAwEC4u7urzZGbokxbWxu++eYbXLt2rdttgzEEcnR0xNq1a/HFF18AAP7880/Y2trC39+/X+O0trYiOjoap0+f7pYxUlJSgvLyctja2g5ojgzDkBpNQNZfdDBRZalUioaGBpUpw1VVVUpmRX2Bw+HA0tISVlZW3epezczM7vj7qCiW73bXb11dXcyZMwdz5sxBc3MzCgsLUVVVBYlEAi0tLdjb28PR0XHQrwOLxYKbmxvc3NwAgLQcYrFY0NbWpunGFApFY6EragoFsojqrFmz8O+//0IqlSIjIwN+fn4DHo9hGKSnpyuNL4/yNTU1ISYmBjExMdDX14evry/ZjaftgPpPZ2cnbt26hdTUVJKKLBQK0dLSAkNDQ+Tk5JD7TpgwQantSX8xMzPD+PHjlVoKqUoxZ7FYMDIyQkBAANzd3ZGYmIjq6mqIRCLs2LEDmzZtwldffTXgeVD6jlgsxpYtW/6XWqni9sEQEBCAhx9+GH/99RcYhsE333yDzZs39yn9s6amBlFRUYiLi+sWzbSxsUFFhSz989KlS4iMjOxTmnRXbt68ierqagCydi+zZs2642MUxWvXHq+DEa9dnYblkdfBuD8rGmwNZMNqtGJoaDhsvYjZbPaoMhyjUCj3LlTYUij/T1hYGE6cOAGJRILMzEw4OjrC3Nx8QGNlZWWhpqYGAGBtbY3Nmzfj+vXrSE5OxvXr10kaamtrK86dO4dz586Res7AwEBMnDjxro8+DIampibSouLmzZsqF9qFhYWYOHEiCgoKAMgWZ/IIxGBwd3cnwragoADe3t693t/AwADh4eG4cOEC6We8efNmTJ48Gfb29rC1tYWtrS2sra3pez4ENDc39yhqAfTYp7Y/LFq0CLdv38alS5fQ2dmJzz77DFu2bOmxhru4uBjHjx/HpUuXlNLaWSwWgoKCsHDhQjg5OeHjjz9Geno62tvbcebMGYSGhva5ty3DMLh58yauX79Ojim2e5FKpaivr1fZ47Wqqqrfr4uieO2aNmxmZqbW1kWKKApb+v2hUCiUexsqbCmU/8fMzIzUPzIMg4SEBMydO7ffNXilpaW4evUqub5mzRoYGBhg+vTpmD59Ojo6OnDt2jUkJyfj2rVrZGEmEAiQmJiIxMREaGlpYdKkSQgMDMTkyZMHFKm52ygvL0dqaipSU1ORm5ur0rhJXuPKMAxycnIwZswY8vqqSzgaGBjAzMwMdXV1aG5uhlAovKMbLpvNxrRp09DS0oL6+nqIRCIkJycrpYgCgLm5OWxsbIjYlf8ZGxvf8+l/HR0dKCoqQkNDA6RSKfh8PhwdHbulgXfF1NQUq1atwt9//63S0VodwpbFYuGZZ55BVVUVCgoKUFtbiy+++AJvvfUWSaVlGAYZGRk4duwYMTuSo6WlhVmzZiEyMhJWVlbk+Nq1a7F582ZUV1ejpaUFx48fh4+PD9zc3HpN0W1oaEBycjKJ1AKAn58frl27hlOnTpGa1/4+dy6X22vkdSTS6KmwpVAoFIocFjOUzRgplFFCe3s7du3apSRIAdlCKTg4uE9tV6RSKTIzM3Ht2jUShYmIiMDKlSt7fIxQKMTNmzeRnJyslEqrCJfLhbe3NwICAuDn5zdgs5vRhlQqRW5uLhGz8rTMrhgZGcHX1xe+vr7w9vbGt99+i8uXLwOQidnKykoAgLe3N3x8fNQyt8uXL5MU57lz5yqJkd5oaGjAiRMn+t0DV1dXV6Xgtba2vqtrtAUCAS5cuIC4uDgUFxerfN2MjY0xbdo0hIWF9Wpkc+nSJZXp32FhYVi9erVa5tvQ0IC3334bDQ0NAIBZs2bhySefRFJSEv755x9i4CRHX18f8+bNQ3h4eI+R2Lq6Onz88ccoLy8nx7S0tODk5AQLCwsYGRmBw+FAIBCgvr4epaWlSoK2v3C5XCXRqlj3amZmpnE14Glpadi2bRsAYOnSpViyZMkIz4hCoVAoIwUVtqMIuVlEbW0tpFIpdHR04ODgAHt7+7t6cTvUVFZWYvv27UrtMExNTZX6Pjo4OMDd3R1WVlbdokMSiQQlJSXIyMhQesyUKVPwwgsv9HkhKBaLkZ6eTkSuqrZDbDYbnp6eCAwMhL+/P4yNjfv5bDWbzs5O3Lx5E1evXsXVq1d7bL1kZ2cHPz8/+Pn5YezYsUqvcU1NDV577TWlSA4gez9cXV3VMs/09HSyCTJz5sx+9QVNSEggjqb33Xcf9PT0UF5eTv762icXkH0eLC0tidBVFL+jeQOEYRicO3cOv/76a79ej7CwMCxfvlxlPeB7771HNiPmzZuHjIwMNDQ04L///S88PDzUNvf8/Hy8//77JBqqp6eHtrY2pftYWFhgwYIFmDlzZp/qQtvb27Fv3z6cP39eLXPk8XhKacOKQlYTxWtvJCUlYefOnQCAFStWYMGCBSM8IwqFQqGMFFQNaTjt7e04d+4cYmNjUVpaqvI+PB4Pfn5+CA8Ph7u7+z2fstgfbt68iZ07d5KFp56eHl566SU4OTlh165dpD7t9u3buH37NrS1tWFqago+nw+GYUhqqWI/QRaLhfnz5+PRRx/t1wKRy+Vi0qRJmDRpElavXo2srCwkJycjJSWFRICkUilu3bqFW7du4aeffsL48eMREBCAwMBAmJmZqfGVGT6ampqIkO2pXpbFYmH8+PHw8/ODr69vry09LCws8Nhjj+H7778fsjkPZj9w7NixRNgKhUI8+uijSuPKnbm7/tXW1nY7r1QqJbWRXbMNDAwMukV4bW1tYWFhodHCpaOjA9988w1SU1OVjrPZbHC5XDJ3hmEgkUiUzJ9iYmJw/fp1vPLKK3ByciLHs7Oziai1s7PDY489NmSvgaWlJSZPnkzSzLuK2mXLlmHBggXdak7lztldnYblacN36lnaFTabDWtra9jY2HSrezU1NdXoz0B/oKnIFAqFQpFDha2GwjAMLl68iH379nVbGHVFJBIhKSkJSUlJ8Pb2xlNPPTVg06N7BYZhEBUVhf379xOxYGdnh/Xr15N0xo0bNyIhIQF//vknmpqaAMgiij2lxAKyyO6TTz6J8ePHD2p+8sisp6cnVq5ciby8PKSkpCA5OZmYUjEMg6ysLGRlZeHXX3/F2LFjERgYiMDAwD6nxo4UZWVlSE1NxdWrV3usl9XW1sbEiRPh5+cHHx+fPpvmAMDs2bNRXV2No0ePkmMtLS1qmXvXsfq7mLawsCCXCwsLlW6TuykbGRl1iyIKhUJUVlZ2E7wVFRUq+4O2tLQgOztbqScqINtAsba27iZ4bWxsRtz5tKOjA1u3blWaM4/Hg7a2do/mQ1KpFEKhkLwGtbW12LJlC9566y3Sn/rYsWPk/vfdd9+QiLqamhqcPHkS8fHxvfZrlbt4d22TM1DxqqurC11dXRgYGMDe3h7jx4/HxIkT7yrx2htU2FIoFApFDk1F1kCEQqFSnaAcMzMzWFpawsjICGw2G52dnairq+u2sNXV1cXatWsH1a7mbkYkEmHv3r04d+4cOebr64u1a9eqNGkSi8VITk4mzeq7psdaWlrCzc0Ns2fPHvKIOcMwKCoqIsZDPYlsR0dHEsntS33wUCOVSpGTk0PEbE/zNjY2xuTJk+Hv7w8vL687mjL1BsMwOHjwIA4fPgxAVm8bHh4+4PEUOX78OImiL1u2rN9tmv7++290dHTAzMxs0G1/5O62ikK3rKwMFRUVZI59xdTUVGUtr6mp6YA/1w0NDWhubsaYMWPuOMZXX32FS5cuket8Pr/Pr61UKkV7ezsRh0ZGRvj000/R1NSEjRs3kue3Y8eObqUbUql0wCKwqKgIx48fR1JSkpLDsbrQ0tJSqnNVTBs2MTG5J8Rrbxw5cgR//fUXAGD9+vX0/z0KhUK5h6ERWw1DJBJh+/btuHnzJjnm5OSECRMmwMTEROVjJBIJiouLkZaWhvb2dggEAnzxxRd46aWXEBgYOFxTHxU0NDTgiy++QF5eHjm2aNEiPPTQQz0uELlcLqZOnYqpU6eCYRg0Njaira2NRNf09fWHa/pgsVhwdnaGs7MzHnnkEZSWlpJ0ZcWWJsXFxSguLsbBgwdha2tLIrmOjo7Dlqre0dFB6mXT0tJ6rJe1t7eHr68v/P394eLioraFOovFwtKlSxEbG4umpiZUVVWhra0Nenp6gxq3sbGRCEYTE5MB9R6WP8f+Ruh6Gsvc3Bzm5uaYOHGi0m3t7e2oqKjoFuWtrKxUee76+nrU19cr9WAGZNHznsyrett8aG5uxoYNGyAQCBAUFITVq1f3+H1JTk5WErX6+vr9ahHDZrNJPatEIkFTUxP27dunJGLnz5+vdL20tBQ//PADSktLsW7duju2bpIjEomQmJiI06dPo6ioqM9z7Altbe1uRk1y8WpsbHzPi9feoBFbCoVCocihwlbD+O2334io5XK5mDZt2h2NaTgcDlxcXGBvb4+kpCQUFxdDKpXim2++ga2trUZE7DSB/Px8fP7550SUaGlp4ZlnnkFwcHCfx2CxWDAxMelxk2G4sbe3h729PZYsWYLKykqSrpyfn0/uU15ejiNHjuDIkSOwtLQkkdyupkvqQF4vK+8v21M7ESMjI5ibm8PFxQVeXl5wdXUdkteUxWIhLCwMhw4dIqnbg43oZGZmkstjx47t9+OlUinJsBjq1F8+n4+xY8d2m6dEIkFNTY3KWt7W1tZu43R2dqKoqKibiGOxWDA3N1dZy2toaIisrCwIBAIAMifp3NxcPPfcc/Dy8uo2n19++YVc19XVHVDfUxaLBT6fj9bWVjAMg8TERPIZ19PTQ2hoKADZexAVFYW//vqLfEbPnj2rJGzFYjFqamq61bsWFRX1uEnTV+bMmQNnZ2ciYGk7p4GjmK3UFyMuCoVCody90FRkDSI9PR0ffvghAJlYnTNnDiwtLfs1hnwxV1BQAABwcXHB5s2bB7RIvJu4cOECvv/+e7KINTMzw/r165UMZu4m6urqSCQ3OztbZQ2rqakpEbnjx48fkMhlGEapv2xeXp7Kc7FYrF4Nl1gsFnx8fDB37lxMnDhRrYv8+vp6rFu3DhKJBCwWC5GRkQM22qqoqMDZs2cByDaeHnzwwX6nSzc2NpKaT3NzcyxduhSenp4aUxcvN6/qGumtrq7ul2kWn8+Hjo6OklM4IHuvFy5ciIceeohET5OTk7Fjxw4AsteVz+cP6jMgFAqJoJbzwAMP4KGHHkJNTQ2+++47ZGRkKN1ubGyMgIAAImLl7vP9QVtbm0RaDQwMUFVVhZycnG6GaF3b0kgkEuTn56OgoAC3b99GR0cHOBwO2fxxc3PrV435vcR3332HhIQEAMCnn35KN3IpFArlHoYKWw2BYRi8+eabJJ00ICAA7u7uAxpLLBbjxIkTJKrw7LPPIiQkRG1zHU1IpVIcOHAAJ06cIMfGjx+Pl19+GUZGRiM4s+GjsbERV65cQXJyMjIyMlQu1g0NDeHv74/AwEB4enp2q0FkGAYnT55EW1sbFi5ciJKSEiJm5X1iu2JgYACGYVRGAHsjICAATz75pFrfn3/++Qf//PMPgP/1DlVVT90bzc3NOHPmDBFMA/2OKrYKUsTCwgKenp7w8PDQKKErRyQSoaqqSqV5VVcR2Rf09fWxadMm2NnZ4bPPPiOvSX/qantC7lgu/++Nx+Phq6++QnR0NI4eParkpDxQ9PT04OHhAR8fH5KWbWRk1E2Qt7e3Iz4+HkePHiWmY8uXL8fChQvR2tqK6OhoxMTEdNsAUITD4SAwMBARERFqa1l1t/Dll18SP4qdO3dq3PeGQqFQKMMHFbYaQnZ2NjZv3gxAFk2MjIwcVMSisrIS0dHRAIBx48bh/fffV8s8RxNtbW34+uuvScseAAgNDcXjjz9+z/b9bWlpQWpqKlJSUnDz5k2VC3w9PT34+fkhICAA3t7e0NLSwsWLF/HNN98AkNUy9hTJcnBwgJ+fH7hcLg4fPqxUx2lqaooxY8bAzMxMqV1SbW0tCgsLlfqVGhoa4rXXXiOutoNFLBbj3XffJam0enp6mDFjhpJDcW9UVFTg4sWLRMBZWVkhPDy8399RqVSKo0eP9knsW1hYEJHr4eHR57kON/K6c1VpzXV1db0+1svLC2+++Saee+45NDc3g8ViwcDAQC0Re4FAQCKl/v7+WLJkCd58880+PVZbWxtaWlokpVmRSZMm4b777oOHh0e/5imRSBAdHQ2JRIIFCxYgJSUFe/fu7Xda85w5c7B8+XJaT/r/fPrpp7h27RoAYM+ePcPqeUChUCgUzYIKWw3hhx9+QGxsLABg2rRpcHFxGdR4DMPgxIkTpJ70s88+g62t7aDnOVooKyvD559/Ttx3ORwOVq5ciTlz5tBatv+nvb0daWlpSE5OxvXr11X2j+XxeNDT00NTU5PKNFQ2mw13d3fSX9bKvhvixQABAABJREFUygqJiYn45ptvyP2NjY0RFBQECwuLHl97qVSKoqIiXLlyhdTM6enp4Z133rljjXlfqa+vx6ZNm4jYYrFYcHV1hYeHR49png0NDcjMzFSqWTY2NsbcuXMHVM9369YtpKWlAQAmTJiAxYsXIzMzE5mZmcjNze2xJhkYPUJXDsMwWL16tZK5T1eeeOIJ+Pr64sUXXwQgS0MerLmXHMV05MWLFyM0NBTr1q3rNZ16wYIFpCew4v04HA6Cg4OxcOHCQX8eGYbB77//rpRFwmKxYGdnBzs7O5iamkJbWxtSqRSNjY2oqalBQUGBUi2pra0t3njjjVHbu1qdvP/++8jKygIA/PLLL/fspiWFQqFQqHmUxiBfOLNYLLUs5FksFhwdHYmwzc/Pv2eEbVpaGr7++muyqNXX18fLL78MT0/PEZ6ZZsHn8zFt2jRMmzYNHR0duH79OhISEnDr1i0SyRWJRGhsbFT5eEtLS7zxxhtKPXPLy8vx3XffEVHg6uqKgICAO9Z4s9lsuLi4wMbGBgkJCaipqUFbWxt27NiBTz75ZFBtfxSfr+I8GIZBTk4OcnJyYGpqCjMzMyKqWlpaUF9fr7Jdjre394BEbU1NDckeYLFYePjhhzFu3DjyuRQKhcjPz0dGRoZKoVtTU4OamhrSpsrc3FwpdVnThK5IJOomarlcLsaMGQNXV1dMnToVY8eORUlJCbldnWZmXccyNzfH9u3bcfr0aWRlZSm5iMtRFJuALHIbGhqKyMhItaW4dhW19vb2CAgIUBlpNDIygqOjIyZPnoycnBykpaVBIpGgvLwcW7ZswaZNm2BsbKyWeY1W5J8xDodDRS2FQqHc49D/BTQAsViM0tJSALKFjLr+c1bczS8qKsKMGTPUMq6mwjAMjh8/jj/++IMIKwcHB6xfv77fJlz3ChKJhPSXTU1NRVVVVZ8fW11djQ8//BDvv/8+jI2NIZVKsWfPHiLGxo4di6CgoH5FyHV1dREWFoYzZ86gvr4elZWV+Pvvv7FixYp+PzdFGIbBjz/+iOrqagCytOiWlhYyV3mbm76QmJgIDocDBweHPp+/srIS8fHxJIV7wYIFGDdunNJ9tLS04OHhAQ8PDwD/E7qZmZnIyMjoJnRra2tx7tw5JaErf7xc6I5kdgKXy4WPjw8yMjIgFoshlUohFotRUFCAgoICnD59Gjo6OsNSMyr/PbC2tsaqVasAyNLLDx48iNTU1G7ZCkZGRpg3bx7mzJmj1tTWlJQUJVEbGBgINze3O75PHA4HHh4esLOzQ2xsLFpaWlBVVYXdu3fjtddeu6ezUOSRbJqaTaFQKBQqbDWA9vZ2UouorjQ8AEoLMrlpyd2KUCjEnj17kJiYSI4FBATgueeeowueLnR0dODGjRtITU1FWlpaj/WeY8aMgY+PD9LT05VScRWpra3Fpk2b8OWXX+L69evIyckBIDOOCgwMHNCCm8fjYfr06Th+/DikUilOnTqFhQsXDspMKiEhARcuXAAgE89vv/029PT0kJCQgPPnz6O0tLRbiqq83rNrDaREIkF8fDzGjh2LyZMn99qyp7OzEzdu3CCpkoCsrvShhx6645wVhe6SJUuUhG5mZiZycnK6Cd3z58/j/PnzAJSFroeHBywtLYdNABUUFOC7777D7du3e72fvNexHHX09ZWjWAduYGCgdM64uDhERUWhtrZW6THW1tZYuHAhpk+frpYsAUVaW1uxd+9ecl3uRt4fDA0NER4ejqioKAgEAty4cQMJCQmYNWuWWuc6mpBHbOnvPIVCoVCosL2LUVyo3807+nV1dfj8889RWFhIji1duhSLFy9We5/W0UpDQwPpL5uenq6ylpPNZsPDwwO+vr7w8/MjUe6nn36617HlERO5WRkAYiA1UIyMjODh4YH09HRIJBLExcVh8eLFAxqrtLQUP//8M7n+1FNPwdraGgCwcOFCLFy4EB0dHSguLkZLSwtYLBa0tbVx8uRJYkoDALNnz0Z7eztxYJW3ZxkzZgysra1hYmICLS0tiEQiNDQ0oKqqCiUlJUpibdKkSVi3bt2AXH+7RnRFIhHy8vL6LHTNzMyUanT7KnQZhoFUKu1TyzCGYXDs2DH89ddfSsKSxWKBy+WCzWaT1k8SiQQSiUTpd0oikaCzs1Mt/UgVX3dnZ2c0NTXh9OnTiI6ORltbm9J9x40bh4ULF8Lf33/IfjPOnDlDNkns7e3h5uY2oHH09PQQHBxMPBn++ecfzJgx455t6UaFLYVCoVDkUGGrAfD5fHC5XIjFYrVGVhXHultb2+Tk5OCLL75AU1MTAFlN3Nq1axEQEDBsc5BIJCgrK0NxcTHa2trAYrFgYmICZ2dnmJubj8imAsMwKC0tJSnGPUVcdXV1MWnSJPj6+sLHx0dl2qW+vr5SVFdPTw82NjbQ19eHrq4uli5divb2dlI/qqenBzs7u0E/Bzc3N6SnpwMALl++PCBh29HRgS+//JKkmoaFhWHKlCnd7qejo0OiZzU1Nfjss89ItJHNZuOxxx7D3LlzAQBxcXHYv38/BAIBGIZBcXGxynpNRXg8Hh5++GFERkaqTTjxeLxuQrdr6rJiim1dXR0uXLhAItempqZKNbqqhG5zczM2bdqEzs5OPPPMM5g0aVKvc/rrr79w9OhRcp3NZkNHRwdcLlfl94BhGIhEInR2dhIhLBcqgxG38nEBWRrvuXPnkJiY2G1DZ/Lkybjvvvswfvz4If2eSiQSIkRZLBYCAgIGdT650VRZWRnq6upw9erVYf3N0xQYhlHL54VCoVAodwdU2GoAckOVgoICNDc3QygUqiUNTrHVhpOTU7fbJRIJamtrUVVVhfr6eri6uqpFkAwX8fHx+PHHH4nRkYWFBdavX682F907UVBQgOjoaCQlJSk5lipiamqKWbNmISwsDCYmJkM6H4lEguzsbCJm5fWkquYkj8p6enreMXr49ttvIycnByYmJrCxsVHZjiUzM5NE3uzs7NQi3vT19WFsbIzGxkbcvn17QN+Ln3/+GWVlZQAAR0dHPPbYY73ePysrCzt27CCRNT6fj3Xr1sHb25vcJzQ0FD4+Pjhz5gzi4+N7bdfC5/Mxc+ZMzJs3b8jrvHk8Htzd3eHu7o4HHniACN2srCxkZGQgJydHSejW19d3E7qKEV0rKytcvHiR1F1/+umnePzxxxEeHq7y/OfOnVMStdra2tDW1u5VwLFYLGhpaYHH46Gjo4PMr6OjY1BmQCKRiHweJRIJEhISyG0cDgfTpk3DwoULYW9vP6Dx+0teXh6p4bazs1NL3e748ePJZzs5OfmeFLaK7zON2FIoFAqFClsNwdXVFQUFBQBkRk8DTVOTwzCMUmquq6srSkpK8NNPP6G9vR0dHR2or69XStfj8/n4+uuvNX6BIJFI8Ntvv+H06dPkmKenJ9atW6dUSzdUNDc34+eff0ZSUtId71tfX49Dhw7h2LFjePDBB7FgwYI+pww2NTVBT0+v18W9vM5OXi/bNcVSjqOjIxGzzs7O/YoWmZqaqoxyKqLobGtqatrnse+EmZkZGhsbIZVKUVZW1q++torGSjo6OnjppZd6FcYJCQn44YcfyHfC2toaGzZsUOkmbmpqimXLluHBBx9Efn4+CgsLUV5eDpFIBC6XCxsbGzg7O2PcuHFqr9XsK4pCd/HixRCLxd0iuoobMvX19bh48SIuXrxInqMiDMPgp59+QmVlJVasWKG0eVFfX49ffvmFXNfR0elXBI3FYkFHRwcsFovMqb29fUA9baVSqcoWQ7q6uggNDUVERMSwt8mR/7YDUNvmobW1Nekprfhbfy+h+D5r+v9bFAqFQhl6qLDVEGbOnEmEWlZWFsaNGzeoqFdpaSlJRfby8oKFhQXWrVuHmpqaHh/TU9RRk2hpacHOnTtJiioAzJ07F//5z3+GpdVDTk4OPv/8c6UoHY/Hg62tLczMzKCrqwuGYdDS0oLa2lpUVlaStMg//vgDqampWL9+fY99U+X8+++/+Ouvv2BmZoaPP/4YfD6f3NbQ0ECisunp6SRirQiHwyH9Zf38/Ia8FYy8tRKg3gWm4li99UPtSllZGX766SdyffXq1bCxsVF5X6lUigMHDii51Xp5eWHdunV3jKwpikdNh8vlYvz48Rg/fjwRugUFBaS9UE5OTjehq4qoqCiUlJTglVdeIcZZf/31F9rb2wHIXpOBpIXKa5vFYjGpve3s7OzX54lhGLS3tyvV7RobGyMiIgJhYWFqNefrD4omWura+OFwODA2NkZ9fT0qKiogFovvuXY3VNhSKBQKRZF7639BDcbJyQlubm7IyclBU1MTbt26hYkTJw5oLKFQiOTkZHJdnjpoY2PTq7C1t7fXaJOp0tJSfPbZZyTFlsPh4Mknn8Ts2bOH5fxZWVnYunUrWfxraWlh8uTJcHZ27jGdt62tDRkZGcQVNzc3F1u2bME777yjMrrMMAz+/vtvHDlyBICs3vPKlStwcnIiYlYx+qOIvF7Wz88PkyZNUmubkjuhGIVWNA0aLIoZBV999RXGjBkDKysrWFtbkz8LCwulBX1nZyd27txJ3qfZs2dj2rRpKsdvb2/HN998g7S0NHIsPDwcjz322IiJhNbWVhQVFaGpqQkMw8DAwABOTk5qr5Pncrlwc3ODm5ubktCVR3SzsrJUmowBQHp6OtatW4fdu3ejtbUVly5dIrcNRmCwWCzw+XyyKSc3kurL75JUKlVymGez2Vi+fDnCw8MHZNalToZKgMnHkteaDud3XhNQfF1pjS2FQqFQqLDVIFauXIl3330XUqkUN27cgImJSb96ZQIyIXD+/HkSPfH29ia1V6+++io++eQTpWinIsXFxXj22Wfh5+eHoKAgTJo0acTSKLty5coV7Nq1iyxkDA0N8d///rff7TIGSmNjIz7//HMilqytrTF9+vReW70AMiOlgIAAODk5ISEhAQKBAKWlpfj666/x+uuvKy3YGYbBr7/+ilOnTimN8eOPP3brsynH1NSURGU9PT1HTIyZm5uTy3IjL3WgOFZjYyMaGxu73YfNZsPc3JwI3YKCAhIhs7e3x8qVK1WOXVVVhe3bt5Me0mw2G6tWreqxhnQoaW5uRnx8PBISElBRUaHyPhYWFpgxYwZCQ0PVmu4tR1HoLlq0CCdOnMD+/ft7vH9raysaGxtx5coVIoC1tLQGXV/NZrOJmR4g2xzS1dXtMYVfKpVCJBIpiRwtLS28/fbb3XoFjxSKc1dnSyPFse61aC1AI7YUCoVCUebe+59Qg1GMpjIMg4SEBPj7+/fZsbOtrU3J7EVXVxdr1qwhj+VwOHj99dfx9ddfk5YlXens7ERiYiISExOhq6sLPz8/BAcHw9vbe0QWTgzD4PDhwzh48CA55uTkhPXr1w9bnRzDMNi7dy9xBraxscHs2bP71V7DwsIC8+bNw6lTp0jvzri4OISGhgKQLc6/++470ppFka6i1tHRkYhZJycnjYiyK9a+9pYV0B+kUikxQONyueByuSrTkaVSKaqrq1FdXY0bN24o3VZeXo7XX3+dRHnl/7a1tWHfvn2kJllPTw/r1q3DhAkT1DL3viKRSHDixAn8888/PUZH5dTU1ODQoUM4evQo7rvvPjzwwANDGomUC35V6OrqwtfXF6ampsjLyyPH1TUfLS0tImwlEglaW1vB4XDA4XCIcJa3DOqaim9iYoL169fDxcVFLXNRB103ftQRfWcYhmz86Ovr35MRS8XUeSpsKRQKhUKFrQYRHR2tlMbJMAxSUlJQXFwMb29v2NjYqBQxHR0dyMvLw61bt5QiJxs2bOhWW8nhcPD888+DYRildOVx48bBwcEBKSkpRMAJBALimsrn8xEQEIApU6bAy8trWERuR0cHdu/erTTP4OBgPP3008O6iMvKykJqaioAWbrb9OnTB9Qz0sDAAFOnTiVtP/744w9Mnz4dWlpa2LRpU48teQCZmJ01axZ8fX2HvF52IFhZWcHU1JTU+7W1tQ26nlHuhAzI+uK+9NJLaG5uRmVlJSorK1FVVUUuV1ZW9ih6q6qqUFVV1U30ytHW1oaPjw9KS0shEolUpjcPBU1NTdi+fbuSMARkmyBmZmYkrbStrQ11dXWoqakhYu7IkSNITU1V+R1XFz4+Pjh//jy0tbUxbtw4uLq6wtXVFePGjVN6bxWNi9TVykjV90ve97Y3xowZg3fffVepJl0T6Lrxow7n9tbWVvKZ768h3N0CjdhSKBQKRREqbDWIniIk1dXViImJAZ/Ph4WFBYyMjMBms4mzcW1tbbe6RjMzM7i6uqocj8vl4oUXXsBXX32FlJQUAMD8+fMxZcoUPPHEE7h16xaSkpJw5coVktLc3t6OhIQEJCQkQF9fHwEBAQgODoaHh8eARN6dqKmpweeff076g7JYLDzyyCO47777hn0BFx0dTS77+fkNagFlZ2cHR0dHFBcXo7W1FUlJSZg2bVqvohaQbTzMmzdvwOcdalgsFkJCQnDkyBEwDINbt24hKChowONJpVLcunWLXA8LCwOLxYKRkRGMjIy6paB3dnbinXfeId8hBwcH2NnZ9Sp6FR+r6AYMyASahYWFUpRX/q86RG9TUxPef/99pbTj8ePHw8PDo0dn77a2NmRnZyMzMxNSqRS3b9/G5s2bsWnTpiERt0FBQfD39weLxVISrGKxGElJSUhJSUFBQQHJEAFAIqtcLhc8Hm/AQlfxO66YltwbXC4Xr732msaJWkD23nI4HEgkEhQUFMDHx2fQv5uKGyKenp6DneKohApbCoVCoShCha2G0NTU1Gs/TEAmLuVCryf09PTQ1taGiooK/P3333j00UdV3o/L5eLFF19EdHQ0uFwuESFcLhc+Pj7w8fGBSCTCjRs3kJSUhNTUVLKIaG1tRVxcHOLi4mBoaIigoCBMmTIF48ePV0vEJjMzEzt27CAGMrq6unjhhRcwefLkQY/dXzo6Ooj419HRUdkPuL94eHiQ9/H8+fMICQnB5MmTcf369R6Nl3pLCx1pGIbBlStXlHqF5uTkwNHREdbW1gMaMz09nbjyOjg4wMvLq9f7//bbb+Q1srOzw+bNm5WMdSorK7Fr1y6lDQQDA4NutZlyFCO9XVEleuWX+yJ6pVIpvvjiCyJq+Xw+QkJC7ihO9fT04OvrC2dnZ5w7dw7Nzc2or6/Htm3bsGXLljvWw3d2dkIoFParJVZXU7Do6GgcOXKkxzpqhmEgFoshFovR0dEBHo8HHR2dQf0udBW1Pj4+8PX1hYmJCXJycnDs2DEAQEhIyJD3ih4oRkZG8Pf3x+XLl9HR0YHc3NxBOWkLBALk5OQAkL1HM2fOVNdURxXUPIpCoVAoilBhqyHcSbhYWVmhoaFBpYmQubk5AgMDMWfOHHR0dOCdd96BRCLB8ePHMXHixB5FAZfLRWRkZI/n5PF4pJZTKBTi+vXruHTpEtLS0khtU3NzM6KjoxEdHQ1jY2Micl1dXQe0mD179iz27dtHUg6trKywYcMGtfV+7C9FRUVkLg4ODmqJTpubm4PP56O9vR0FBQWQSqV49dVXwTAMmpubUVpaSv7KysrQ1tbW6/s0klRXV2Pfvn1KrsJyzp07h/Dw8H6LjcLCQly/fh2ALHL31FNPdTPZ2r9/P2pra7F06VLcvn0bMTExAGQp+C+99JJS9Ka6uhqff/45ysrKAMiEwOOPP46wsDDymldUVCilNssvD0b0do32ykVvVFQUESV8Ph/z5s3rl5utiYkJ5s6dizNnzpDPy6FDh7Bs2TKV92cYBvHx8fj1118hFovx7rvv3tFUSSqVoqGhARUVFaioqEBhYSFSUlK69Unm8XhwcHAgmwSlpaVKG3QikQhisRi6urr9qr9VbNcDgEQ7tbW1sWHDBrDZbAiFQvzwww8AZJ+TBQsW9Hn8kSAyMpJ4G6SlpcHOzm5AfbflZSTy/wumTp0KY2NjdU511EAjthQKhUJRhApbDUGxz2FXDAwM8N///hd2dnYoLy9HbW0tJBIJdHV14eDg0K0n6iOPPILff/8dDMNg165d+OSTTwa0gFJES0sLAQEBCAgIQEdHB65du4akpCSkpaWRut7GxkacPn0ap0+fhpmZGRG5Y8eOvWP6sFgsxr59+4hAAWSOzi+++OKItrAoKioil9XlRMtisWBqaor29nYIBALU1NTAyspKKdX2ThHKkUYsFuP48eM4cuSI0mbLhAkTIBQKSU/U06dPIyAgAC4uLnf8DEgkEty4cUMpBXnRokXdRFhGRgZOnjwJAN0E9apVq5ScxDMzM/HFF1+QunE9PT28/PLL5PVVfM27RtDk5jyqanqrqqruKHrl4lwOm82GmZkZamtrybEZM2YM6POtq6uLkJAQnDx5ElKpFMePH0dYWFi3qG9zczO+//57UiMOAMnJyeQ1lWd3KP7Jn2Nvfa0DAgIQHh7erRRBHh2Pj49HTEwM6Snb3t4OXV3dPrusd62llV/X0tJCVFQU/P39cevWLRI5DggI6LFPsabg5uaG0NBQxMbGQiwWIzY2FuHh4f1KnWYYBlevXkVJSQkA2f8Ny5cvH6opazzUPIpCoVAoilBhqyFcuXKl2zFdXV0sWLAAERERZPHj4OBwxxZA8+fPJwKhoaEBP/zwA15++WW11abq6OhgypQpmDJlCgQCAa5evYqkpCRcv36dpA3W1dXh5MmTOHnyJCwsLMj9Vbn4NjU14csvvyS9XgFgwYIFWLZs2ZDU7/YHuSACMGgzJEUUx2ppaYGVlZXaxh5q0tPT8dNPP6G8vJwcMzExwWOPPYagoCAIBAJ88sknyMvLg0gkQmJiIvLz8+Hu7g47O7tu76lQKERhYSGysrKUon2zZ8/G0qVLu51f0axI0Uk4ODgYs2bNItdjY2Px008/EVFka2uLDRs29Dk9msViwdjYGMbGxncUvYrCtzfRq+gY7erqCktLyz7NRRUmJibw9PTErVu3IJVKERMToxS1vXbtGr777rtuacOXLl1CTk4OKisr71j+0BVzc3M888wzPW68sFgs2NjY4NFHH0VERAR++OEHsvkgEAjAYrH6FLntySG6paUF+/fvx59//qmUCXD//ff363mMFMuXL0dmZiYqKirQ3NyMqKgoBAcHw9bW9o6PFQgESE5OJqKWxWJhzZo1au9vPJqgEVsKhUKhKEKF7RAhEAhw8+ZN0lOzs7OTpCk6OzvDw8NDKb1WccHL4/GwYMECzJ8/f0DRHDabjeeeew6vvfYaWltbkZKSgtjYWISFhanluSmiq6uLadOmYdq0aWhvb8eVK1eQlJSEmzdvEkFRU1ODY8eO4dixY7CyssKUKVMQHBwMBwcHFBcX4/PPPydRLB6Ph9WrVyMkJESt82xqakJhYSF5LzgcDnkvbGxs1ObmOhBGi5tpY2Mj9u/f381kad68eXjwwQfJ5gufz8ebb76JH374AYmJiQBAophsNhsmJibg8/kkDbiruOJwOHjwwQexaNEila+NfGHflStXriAtLQ2TJk3C/v37lfoBT5o0CS+++KLajIUGKnpLSkpImq2Hh8eg5+Hu7o709HQwDINz587hkUcegVQqxUcffYTMzEyVj6mrqyNtlFTB4XBgaWkJa2trVFdXkxRuBwcHvPnmm30WUvK2O/v27SMGbAKBAFwut9fPvLwvbW+IxWLym+nl5aVRrX16g8/n4/XXX8eWLVtQU1OD9vZ2xMTEwN7eHuPHj4e1tbXSbxHDMGhtbUVeXh5ycnJIdgSLxcKTTz5JepTfq1BhS6FQKBRFqLBVM3IRd+HChR6dWOPi4gDIFraRkZHw8/PDo48+in379sHJyQnPPfdct/Ti/mJiYoJnnnkG27dvBwD8+uuvJGI2VMhNcEJCQtDa2oorV67g0qVLSE9PJ6ZIVVVVOHr0KI4ePQoTExM0NzcTAWxsbIxXXnnljvV/fUUsFiM5ORlnz55VigZ3xcTEBLNnz0ZYWFi3elDFxZLczEodKI6l6REXqVSKs2fP4q+//iIu2YAs4vjkk0/C0dGx22N0dHTwwgsvYMqUKdi/fz+pR5X3pu1JWLm7u+Pxxx/vtR1KT2n7IpEIX3zxBcaPH4+MjAxyPDIyEsuXLx+26H9PolcgEGDNmjUAZGnt6njfdXV1YW1tjYqKCjQ2NuLQoUOor6/vUdR2hc/nY/LkyXBycoK1tTVsbW1JLfCtW7fw0Ucfkftt3Lix33Nms9lYtWoVqqurcf36dTAMg46ODujq6qq8P8MwEAgEdxzX2NgYjY2NAID77ruvX3MaaSwsLPDee+/h22+/JWn38pp6+caPtrY2pFIpGhsbu/0/oq+vj6eeeuqeF7UANY+iUCgUijJU2KoJhmFw9uxZ/P77773WpimSmZmJzMxMBAQE4Mknn8S3336r1jn5/R975x3eVPm+8TujTffeMy0d0E0LlBYodLAsoKCCA8WJC3GBIl+GA0VFHIgKqIioqAgoILuljA5oC5SW7r132nSkzTy/P/LLa9KmbdoEKHg+18VFxjnvOUlO0vd+n+e5n7AwxMbGIjExESKRCF9//TXeffdddHd3IysrC0FBQTqrG+2LiYkJZsyYgRkzZqCjowMZGRm4dOkS8vLySMSqra2NbK+vr4+pU6fqLN23vLwcO3bsGLR2WUFbWxsOHTqEY8eOYfHixeByucjJyUF2djbKysrIdoNFuYYDRVFkLFNTU1hbW+tk3JtBWVkZfvjhB5X0XxMTEzz88MOYPn36kJHuCRMmIDQ0FDdu3EBycjJKS0vR0NBArgE2mw1XV1f4+PhgxowZakWyMhKJZFCjNalUSkQti8XCk08+iZiYGE1f7k2lsrKSvG5dfubW1tbEYfngwYPD2lcgEJAod2hoqEok9cSJE+T20qVLR3zOTCYTzzzzDN5880309PRAJBLBwMBAbdRWKBSScgYzMzN0dnb2M5JStMsCAC6Xi8DAwBGd1+3E0tISb7/9Ns6ePYu//vqLOIArFn7UwWKxEBERgUcffXTUL4bdKugaWxoaGhoaZWhhqwOkUil27tyJ5ORk8hiLxYKHhwdcXFxgZWWlsgLf3NyMkpISkoKZkZGBkpISvP3223BxcdHpuS1duhQFBQWora1FRUUFvvzySxQWFqK7uxseHh744IMPdHo8dZiZmSE2NhaxsbGor6/HF1980U9wikQi/PPPP/jnn3/A5XIxefJkhIeHj6j29MyZM/jpp59UWuc4W4kQ7CEA11YIU0MpxFIGalr1UVRngOsVRqAoBoRCIX7++ecBx62uroZYLB6Wu6s66urqyITM29t7VKYid3d3Y//+/UhISFARFjNmzMBDDz00rIwCJpOJoKAgBAUFAZBPRgUCAZhMJoyNjYfVE7ampqafsZA62Gw21qxZM6r6eypH6XVpiKbtWAKBAN988w0SExOxcuVKWFpaoqWlBVlZWQDkdbXalgZYW1tj+vTpJD1cJBKpRNgUkVxlI7IXXngBf/31F3GQBuSRbuV08nnz5o3K748mMBgMxMbGYsaMGbhy5Qp++eUXFWMxQF6L7+HhAT8/P8yYMeM/6348EHQqMg0NDQ2NMrSw1RKKorBr1y4VUevt7Y3Q0FC1DqB2dnaws7ODn58fKisrkZ6eDqFQiLa2Nnz44YfYuHGjTo2EOBwOVqxYgXXr1kEqleLq1avkufLycggEAp3VHQ5FY2OjStsVBoOB0NBQ8Pl8lJSUkO0qKipQUVGB33//HZ6ensR4ysbGZshjnDp1Cj/99BO5724rxNLpLfBz7UXf+e8EL3labWsnC39ftkRidv8oiJubG5hMJioqKiAWi1FcXKyVWKIoSiVNVtnsaDRAURRSUlLwyy+/qNS+urq64sknn9Sq96YCDoejImoEAgHKy8tRUVFBxJ+ZmRk8PDzA5XJV0lbVOQ2r6/0rkUhQVVU1qoRt336sN4Np06bB0tJSpa5X0wySwsJCvP766/jhhx9QUFBAFjSioqJ0UoM+Y8YMImwlEgk4HA7pe9vb26vyOT722GMIDg5GZmYmEbYMBgMPPPAAdu3aBUD+W6rov30nw2KxMGnSJOzfvx+AfFHmq6++gp6eHgwNDe9Y4X4rUAhbBoOhseM2DQ0NDc3dCy1steT8+fO4ePEiAPkke9q0aYPWBypgMBjgcrmwt7fH2bNnwePx0N7ejm+++QYbN27UqZmRTCaDsbGxWgfUuro6ndW0Kh+vrq4ODg4OJBqXk5ODbdu2kT6YRkZGWLlyJYnitbS04PLly0hLS1NJ/y0rK0NZWRn27dsHb29vEslVl0Kdn5+PvXv3kvvxYe1YMrUV7CFKK61NpXg6rgXhPt344qg9BEL5DlOmTMFLL72EyspKvP322wDkwkrRt3MklJWVoaGhAYA8EjZ+/PgRjXMzqK2txY8//qgivDkcDh544AHMnj17WJHVoaAoCvn5+Th9+jQyMzPVilNAPukPDw/HzJkz4evriwkTJuDPP/8ERVEICwtT6yau4ODBg5g1a9ZtMQbr6upCZWUlKioqUFlZicrKSpUUamW3bV0cS8GECRNUai8pikJ7ezsxsUpPT++3OKCMSCQCRVEqqefe3t46OU8XFxcYGhqip6cHEokEAoEAEolEJSOAzWZj2bJlxOhu6tSppAVYbGwssrOzybbx8fG33TVdV4jFYvK74OzsTKcaa4hC2A6U2k5DQ0ND89+CFrZa0NbWhl9++YXcnzp1qkaiVhlDQ0PExcXhxIkT6OzsRHFxMU6ePIl77rlHJ+fY1NSE9957b8Cozc0Qtr/99huOHTsGLpeLdevW4fz58/j111+JeHF2dsbrr7+u0nfSxsYG8fHxiI+PR2NjIy5fvoxLly6p9JEtLi5GcXExfvnlF/j6+hKRa25ujt7eXuzcuZNMku+d1IYlU3nDOu8Atx7874E6vLffGUIxEykpKZg2bRqCgoJIrbJEIsH58+cxc+bMYZuVNDc3Iz09ndxftmzZqJiYC4VC/PXXXzh27JhKmu/EiRPx+OOP67wGmM/nY/fu3cjIyBhyW6lUitTUVKSmpiIyMhLLli0jEfkNGzYMuq+fn99NF7UURaGtrY1kGSjErLLLuTp0Va/ddywul6vyHIPBgKWlJSwtLTFu3Di1/XUB+QKCg4MDFi5cCBaLpXL+uiqPYDKZcHJyQmlpKYD+LX28vLywfPlyleP5+vri7bffRkdHB7y8vPD6668DkEf0p0+frpPzGg00NDSo/D7SaIbi7xptHEVDQ0NDA9DCVitOnTpFXGI9PT2HNL4ZCA6Hg8jISJw6dQoAcOTIEcyaNUsnETI+nz9oKqIiLVhX8Hg8km5YUVGBt956S2XiPX78eLz00kuDpj/b29tjwYIFWLBgAerr63Hp0iVcunSJ1OVSFIWCggIUFBTgp59+gp+fH0xMTNDU1AQA8HHqwYORwxO1CjzsRXg0qhW7E20BAPv27UNgYCAeeeQRZGdno7m5GW1tbTh16hRJ+xwKiqJQUVGBS5cukXTUqKgohIWFjegcdcmVK1fw008/qdT22dra4oknnrgp0eSioiJs3bpV1RXaSIJJ3t3wsBfC1kz+/jTx2Shr5CC92ASdPXLxn5qairy8PLz55pvgcrkk+q/AwsICvr6+8PX1hY+PDzw8PHR67jKZDI2NjUTEKoSsJr1gWSwWnJ2dwePx0NXVBR6Ph46ODq3dz3t6eojjtIWFxZDp+srmbHp6eggJCUF4eDhCQ0NVahSVFzh0GanvW5+uOIe4uDj4+PiguroaZ86cQWtrKyiKgqGhIdzd3REQEICDBw+Shas5c+bcVamnytF8Xfss3M0oR2xpaGhoaGhoYTtCxGIxadvDZDIRGhqq1Xh2dnbE7bOjowPp6emIjIwccPuSkhKUl5cjIiJiUPMYb29vPP300/jjjz/Upj8qp/3qglOnTqlMipVF7YIFC7B48eJhRdEcHR2xcOFCLFy4EDU1NUTk1tXVAZCLxtzcXJV9nolrhjaButigDpy7YYqyRgNUVVWhqKgIvr6+WLNmDd577z3w+Xzw+XwcP34cY8eOhY+Pj9rUZIqi0NTUhNzcXJUFhICAADz11FMjP0Ed0NLSgp9++glXrlwhj7HZbMyfPx/33nvvTRENJSUl2Lx5M1loMTOU4pHpLYj07eqXLu4PIDqwE4/NaEVyngn2XbSGQMhCe3s7Nm3ahPXr1+PNN9/Eb7/9Bk9PT0RGRsLOzq5fOmJnZyeMjIyGHRlXuC8ri9iqqqoBW3gpw+Fw4ObmBi6XCy6XC3d3d7i4uEBfXx/Hjh3Dr7/+CkCeOq9tjWhhYSGJ9EVFRQ2Zjjl37lyYmprCwMAAISEhAwoC5brmzs5OnaXGKhYBmEwmPvjgAzg7O6OxsRFnzpzBF198MWirH8Vr43A4iIuL08n5jBaUfx/oiK3m0MKWhoaGhkYZWtiOkKKiIhJ1cnV1HbAv43Dw8fEhbSwyMzPVCtuioiIcPHgQOTk5AICCggK8/PLLg44bGxuLiIgIHD9+HMePH1eZnCubNqmDoiiNa5d6e3tJPVxf5syZg4ceekijcQbC3t4evr6+6O3thVQqJZEqZfzdBHCxEavZW3MYDGD2eD6+PSmfLKWkpMDX1xeOjo7YuHEjPv/8c1RXV0MmkyEvLw95eXmwsrIijq0URaGjowOtra39FhMiIyOxfPny2xZtkkgkOH78OP766y+VSL6/vz+efPJJODk53ZTjdnV14bPPPiPH9HcV4OX4RpgZqa+tVaDPphAT1InxngJ8+Y89iuoMIRAI8Nlnn+Hjjz/GG2+8oXY/iUSCffv24dSpU3BxccEHH3wwYOSxp6eH1MEqRKym7ssmJiZEwCpErKOj44CLN1FRUfjzzz8hEolQVFQEDw8P2NnZDXkcdbS1tZFFHYXD7lCw2WyNDMuUo4YVFRU6iSL29vaStkRubm5wcnLCgQMHcPTo0X4tfdSh2MbY2Bjt7e06dZa+3dAR2+EjkUhIBgwtbGloaGhoAFrYjhhlcxVdiQE7OzuwWCxIpVKV8QF5ZObQoUNE0CpQpN8OhZGRER544AHMmjULhw4dwunTpwGophn29vYiLS0Nubm5KC8vR1NTE6RSKTgcDlxdXeHh4YFJkybBz89Prdg9d+4cSc3uS1JSEmbOnKlSVzsUFEWhoaEB169fR3Z2NvLz84d0eJ3k1T3o85oywasbDFCgwFCJajs4OGDTpk04ePAg/vnnHxIt4/F4pBelOiwsLPDEE09g0qRJOjm/kZCfn4/du3erRIcsLCywdOlSRERE3FTzlb1796K9vR0AMM6lB6sXNkCfPbSYUWBpIsWaRfXY9KcTyhoN0NzcjN9++w1PPvlkv21bWlqwbds2smhTXV2N4uJijBs3Dnw+XyUKW1FRoXaBRB02NjYqApbL5cLKympY75upqSnuv/9+/PbbbwCAixcvYs6cOcPu39zb24sLFy6Q62/evHmwtbUd1hiD4enpSW5nZWVh6tSpWo+ZnZ1NxKmzszM2bNhAFvIAebq2q6srbG1tYWZmBiaTiZ6eHvB4PNTU1JBoL4/Hw9q1a7F8+XKdnNdoQCFs9fT0dOqKfzejvEBL19jS0NDQ0AC0sB0xyivs6hx6RwKTyYSFhQVaW1vR2NgIsViMtrY2vPfeewOKprq6Onz00Uf9JtcMBkPlMcVtxf9+fn5obm6GnZ0dPv30U9TV1aG5uVltlEooFKKkpAQlJSU4c+YMDA0N4erqCmtra5XjXLp0acDXJhQK8e2336pEI9Sdn1QqRVtbG1pbW9Ha2jpo6qe5uTlsbGzQ2dlJBL6HvWatTYbCUJ+Cg6UY9W36qKqqgkwmA5PJhEgkwsWLF5GRkTGgk68CPT09eHt7Y8aMGQgPD9e6/+1I4fP52LdvH3HvBuTv96xZs/Dggw/e9HZP1dXVpB2WEUeKl+Y2DkvUKjDQp7Dinkas+dkVIgkTCQkJiI+PV4l4Xr9+HV9//XW/SPnu3bvR3d1NxPVgMBgMODk59YvE6ipCGB8fj8zMTBQXF0MgEJB6bU2FaVtbGy5cuECEnrOzM+6//36dnJsC5UW2y5cvY+nSpVr3UFUspgHyRRbFbxqTyURgYCDGjh2rNpPBw8MDoaGhqK+vR0ZGBjo6OiCRSPDtt98CwB0vbiUSCXFEdnJyui0u3nciyoucdMSWhoaGhgaghe2IEYlE5LYu00qVV55FIhH27t07aCSwp6dHpQXGcBnIvVWPJYODpRj6bAqdPSw08f8VZT09PaS35HBQiGNdoah1VcbSRHe9Qq1MJKhv04dEIoFIJEJeXh4+//zzAVNU9fT0iNOri4sLAgMDYWhoCB6Ph7Nnz0JfX5/843A4Kv/3va2Lya1MJkNSUhJ+//13FaOlMWPG4KmnntK5udJAJCQkkNv3R7TBynToFN+BcLCUYMGkdhxItQJFUUhMTMTDDz8MmUyGr7/+GmlpaWr3G8gkTU9PD66urioi1tXV9aZGgJhMJl5//XW8++67aGhoQHd3N06dOgVfX1+MHTt2wFZSAoEABQUFyM/PJ4sqVlZWWL16tU5/g27cuIHt27eT61wqleLnn38esuRhMNLT00kbKX19ffKbZmxsjOjo6CFN2BSLDfHx8cjIyEBJSQkoisLOnTvh5uY2bDf60UR9fT3tiDwClBc9aWFLQ0NDQwPQwnbEKKfwalKLpymKmiFALiCnTJmCa9euaVSDpi16LBmmjO1CdGAHPOyFKoY+3b1M5FQa4nSWOQpqta8nvlnIZLpLp5VR/47FZDJx4sSJQT9r5fYlNTU1KlH94aKnpzeg6FV3u+//fD4fFy5cIJEgQG4ING/ePERHR8PAwIBEoW8mFEURscnRk2G6f+cQewxNbGAH/rpkCamMgdTUVDz88MP46aefBhS1CoyMjFTSiLlcLpycnG5LyyVzc3Ns2LABn332GRFpCqdvW1tbWFtbw8TEBAwGA93d3WhtbUVTU5PK74CLiwtWr16tsxRkmUyGI0eOkD7ByqSlpSE4OBhRUVHDHrepqQm7d+8m9xWLgoaGhpg1a9awIuFsNhuTJ08Gg8FAcXExpFIpduzYgffff39UtM4aCXR97cighS0NDQ0NTV9oYTtClNMf29radOIaSlGUSqrkypUrYW9vj7CwMHR1daGkpERF+ALyWri3334bgNxwas+ePfDw8MCTTz4JCwsLlQmq8u3i4mJs27aNjOfj1IPnZjfD0VK98ZKxgQyTfbsx2bcbl4uM8WOiLTr+vw2Lvb09Xn31VQiFQvT09KhMtCmKgkQiQWVlJbKyslBUVDRoBNra2hre3t6kXYu+vj5JT25sbERDQwMaGhrQ2NgIHo/XbwLe0K4HW3PdRG3r2+RRaiMjI+jp6WHJkiX48MMPNXLG1RaxWNyvz6e29PT04M8//8Sff/5JHtNEQA8lpJXH6Pt/e3s7SQv2d+2BEWfw9G1NMDeWwtepF3k1hmhtbQWfzx9S1DCZTHzzzTejqkWMhYUFNm7ciGPHjuHgwYPk825ubh60Dy6LxcK8efOwaNEinaW3d3V14dtvv8W1a9fIY8bGxiqR/l27dkEmk2lkPqWgtrYWH3/8MUmbZrPZ5DcnMjJyROndDAYDEydORFNTE6mZTktLu2NTkmlH5JFB19jS0NDQ0PSFFrYjRDmNs6mpCVwuV+sx+Xy+SoozADQ2NqqY2yhqURWCTk9PD4aGhmAymUhMTIRQKERBQQE2b96MV199FT4+Pv2O09vbi59//vnfCebYTrwwpwksDYN34T7d8LQXYtMBJzTz9dDY2IizZ8+qGPk0NjYiOzsb2dnZuHHjxoCmTwYGBvD390dQUBCCgoJgbGyM6upqVFVV4cKFC6iurkZ1dfWQplEKSuo5CHQfuGWIprR2stDeLf96eHh4gMFgwMvLC9999x3OnTuHAwcO9EuD9vb2RnFxMQD5pD0uLg5CoRAikUjlf7FYrPZxkUg04GMikUjnQhe4OQJ6ILh2uql/BuS11Hk18syByspKPPbYY7C2tkZ2djaqqqr6fTYymQxtbW2jzpiHxWJhwYIFmD59Os6dO4fz58+rRNmVsbGxQVRUFKKjo2FtbT2i48lkMpSVlamkW1dUVODzzz9XEdMGBgZE1DIYDFAUBZlMhl27diErK4u83wMhEolw+vRp/Pnnn+T6srS0RFtbG4B/XZFHCovFwqRJk3DmzBkA8nT3O1XY0hHbkUFHbGloaGho+kIL2xHi6+tLairLy8sRGho6YDsRTVGIIgAYN24ccUdWFh59I5SFhYVYvnw5PDw8VNx729vb8f777+OJJ57o1wbk4MGDZBLr69wzLFGrwNZcgjWL6rH2ZxcIJUycOXMGtra2aGlpQXZ29oCTc0A+CYmLiyNGKbW1tbh69SoOHz48aDRXGT09Pbi4uMDNzQ2Wlpb4+++/AQDJ+aa4L7wd2hr8Xsz7t87R19eX3KYoCh4eHrj33nuRnp5O0iEBqDjbmpqaYuzYsdqdRB9kMplaEVxfX49//vlHxWGWzWbD398fXC4XEolEI+GsuH+zhK4u658tjP8dSyAQgMFgID4+HvHx8aAoCtXV1bh+/TquX79O2uqMVAzeCszNzXHvvffi3nvvRWdnJyoqKog4NzU1BZfL1UlWyE8//YQzZ87A2dkZ7777Li5fvow9e/aQz1xfXx9isZiIBisrK6xcuRIpKSlERKanpyMzMxNhYWEICgqCh4cHTExMIBaLUV1djaKiIiQnJ6sYeLm6usLc3JwIW118N+zt7WFubg4+n4+ioiK0tLTAxsZG63FvFYpSANoReWTQ5lE0NDQ0NH2hhe0IMTExQUREBC5cuACRSIT8/HwEBgaOeDxFqjEgj5BERETAyckJ3d3daGlpQWdnJ1pbW1FaWoq6ujqVfQUCAelnqYxUKsUPP/yArKwsvPzyy9DX14dAICC9ZvVYMjw3a/iiVoGjpRhLpvKw95x8Mrlv3z6N9hOLxUPWqypjZ2cHV1dXuLm5kf8dHBxU6kOLioqQl5eH+jZ9ZJYYY6L3yNv+9IgYOJMlFxEMBgPTp09HbW0tzpw5g4sXL6KnR31EOCsrS+U16homkwkDAwMyiROJRDh8+DCOHj2qkqIeFhaGxx9/fMS1lwoBrU4EDySGhUIhOjo6wOfz0dHRga6uLggEAnR1dZFz02X9s1SmWv+sTE9PD5qamtDS0oK2tjZIJBL09vbekjp1XWBqaqrVb8lANDQ0ECOv2tparFmzBi0tLeT5vqnH/v7+ePnll2FmZgZvb2+MHTsWP/74I7q6uiCTyZCRkYGMjIxBj8lgMDBnzhw8+OCDeO211wDIxfNIe/f2HdvNzY20QCsrK7tjhO3vv/+OY8eOwczMjIh9U1NTlJSUgMvljqqU+dEKHbGloaGhoekLLWy1YM6cObh48SIoikJ2djZcXFyGdPdUh0wmQ1paGhEAFEWpmK0o0NfXh4+PD+bNmwcLCwtUVFQQp2FFDZs6rly5grfffhtbt25FamoqmRBE+XfCwVK7KFpcMB9HMixI2i4gTxM0MTHplw6qYCBBa2RkpCJeXV1d4erqCkPDoc2qZs+eTVxXfzxrg3GuPTAxGFk9574L1mj7/9cTEhKChIQE/PPPP8MSRlevXkVTU5NOJvDqyMrKwp49e1T6GNvY2GDZsmUICwvTauy+AlqBIp23sbERXV1dKvXOjY2NQ6aL17Xprt1RvdJYlpaW6O3txY4dO1BeXo7W1tZ+rZiqq6vR3t6u016vdxpHjhxRuYYHE7ULFizA4sWLyaKBYrHN398fp0+fRmJi4oDfb+Bfk6c5c+bA09NTxcF8uL1/B0O51VplZeVt7RM9HC5dukS8AxTweDy88847sLKywkcffaSz9lJ3K7SwpaGhoaHpCy1stYDL5WLevHk4evQoZDIZEhMTMXPmzGGlDMpkMqSkpAyauqtAJBLhxo0buHHjBqytrfH000/jvvvuA0VR+OKLLwaNnihSfG/cuEEeiw4cWAxrCpsFTPPrxNEMuaC/5557EB0djdWrVw+6n62tLby9vVWErDYT3gkTJiA4OBjXr19HezcbXxxxwKqF9TDQG16U7kyWGRKz5Z+fvr4+GhoaVAx1WCwWXF1dYWNjAzMzMzAYDPT09KC1tRU1NTVEHLS3t+Ott97CihUrtBaayrS2tuLnn39Genq6yjnFx8dj4cKFWpuoyGQy8Hi8fkZdin99a8CHQlGfCQCl9bqbfJY0yMdiMplwd3fH9u3bkZmZOeD2+vr6OknlvZ3IZDI0NDSgsrKSpPmam5vDw8MDNjY2g353WlpaVPoYK8Nisch1a2hoiBdeeAETJkxQu62ZmRkeeOABTJo0CWvWrAEgz6jw9PQEm82GnZ0dPDw84OPjo9K2SFk067JvsvKil0Ag0Nm4N5sxY8aoLEopw+Px0NDQAC8vr1t8VncGilT9/Px88pgiM0PbciAaGhoamjsb+q+Altx///24ceMGysvL0dPTg5MnT2LChAnw9PQcUqR1dHTgwoULKqv2gFwM2NjYwMrKCgYGBqAoCnw+Hy0tLWSC2Nraik8++QQxMTF44oknVKIvyhgaGsLa2hqLFy9GUlISmQxw9GTg2g5PpAzEWOdeHM3499wdHBxgZGQ06ERz7ty5mDNnjk6OrzjuM888g7fffhtdXV3IqzHEpv1OeHFuE5yshk4LFkkY+DPFCseuWJDHOBwO6uvrAcgFVGBgIHx9fdWKxzFjxmDChAmoqalBZmYmuru7IRQK8fnnn+O1117TWtxKJBKcOnUKBw4cUImM+vn54cknnxyWm6pMJkNra6uKaFWI2KampmGnUbNYLNjZ2cHe3h4ODg4q/9vY2ODtt99GbW0tShoMUMvTg7MGn8dglDZwUNsqT9VUOGcPZUQkEonw7LPPws3NDZ6enuSfs7PzTW95pC01NTVISEhASkqKikBUxsLCAtOnT0dsbKzadNyjR48OmCmheNzV1RWvvfYaHBwchjyn6upqcnvGjBm47777Bt1e+T3uG03XBuUI9Gj/HJUJCwsbsD2Vv78/PD09b/EZjW56enqQnJyMs2fPqngJKPj555/x22+/Yfz48Zg5cyb8/f11lhVAQ0NDQ3PnQAtbLdHX18dbb72FzZs3o7KyEiKRCKmpqSgsLISvry+cnJxUogpSqRStra0oKSlBWVmZysSMxWLB398f3t7eaqMaFEWhoaEBN27cIBHes2fPorOzE35+figvL4eRkRH8/Pzg7+8Pf39/ODs7QygUYtu2bSo1oM5WIuhqHuhq869AbmpqAovFwq5du5CXl4ecnBxcu3atX0/Xzk7t+5n2xdraGm+++SY2b96Mnp4elDUa4O2fXTBnPB+xwR2wU9MGSChmIK3QBEczLFDfpq8yVmtrKwB5PXV0dDQsLCwGPT6TyYSbmxscHR2RlpaGyspKyGQybN++HR999NGQxjBSqRSdnZ39jlNYWIjdu3eriAkzMzMsXboUU6ZMUTuBU1xnCvGqHH1tamrq1zZqKBTROIVoVQhXhXgdrN1OdHQ0fvnlFwDAPxkWeG72wK1sNOFohgW5HRMTAwB46KGHoKenh7/++mtA4SQWi1FaWorS0lLyGIfDAZfLhaenJzw8PDBmzBjY29uPCpHU09ODffv2kZr4wWhvb8fhw4fxzz//YMGCBVi4cCGJXjU3N5Pa2oEYO3Ys3nrrLY0j/hUVFeS2skP8QFhYWJDo/WBlE8NFeayRlIHcLoKDg8FisfotNpiamuLFF18cFdffaOHSpUvYs2fPkNeNRCIhdd/jxo3D8uXLaTMuGhoamv8YtLDVAWZmZli/fj327NmD5ORkAPKIampqKgB56p2BgQERLuom3tbW1pg6dSrMzMwGPA6DwYCjoyMcHBxQUlKC9PR0YuIyd+5c7Ny5E8bGxiqTos7OTmzZsoUYUynQZ+vOSEdPaSyFYGIymQgICEBAQAAefvhhNDc349q1a7h27RokEgmioqJ0dnxlvLy8sH79enz55ZdobGyEWMrE0UxL/JNpAScrMbh2QpgaSiGWMlDTqo+KJg6E4n/fLzabjZCQEJLWamRkhFmzZqk4Hg+Fnp4eaT1SWVkJoVCIXbt24X//+9+AE9br169j165daG9vxwsvvICpU6eio6MDv//+O86dO0e2YzAYiIuLw4MPPghDQ0M0NTWpiFZl8aqpOZfyedvZ2fWLujo4OMDa2nrEk+2oqCgcPHgQPT09OJ9rhgjfLgRxR9aSKb3IGOnF8tpDhYGbgvvvvx8hISH48ssv+2UweHt7o6uri0TgFQiFQhQWFqKwsJA8ZmhoSESuh4cHPD09YWtre0sjQNXV1fj0009VWvCwWCw4OjrC2tqaXI8KU7n6+npQFAWpVIq//voLV69exerVq2FlZYXDhw8PWh/u4uKCN954Y1hp7OXl5eS2Jq3ODAwM4OjoiLq6OrS3t0MsFuukB6/y59zV1YWenh6NavJvN8bGxhg3bpxKaQgAPP/883eUQL+ZSCQS7Nq1i/xNVWBtbQ1bW1tYWFiAyWRCKBSS9G2FsV9+fj7WrFmD5557DpMnT74dp09DQ0NDcxtgUHeKVegdwpUrV3DgwAG16VIDYWdnh5iYmGFP9Orq6pCUlASZTAYGg4H169ertNFoaWnBRx991M9FGQBcrYX4eFlNv8dHQh1PD6v2uAEAJk+ejJUrV+pkXG0QCoXYv38/Tp8+rbHA8/b2xuOPP47NmzeTNOqZM2dqlJqpDrFYjKNHj5L00VWrViE0NFRlm97eXvz6668qUbng4GBMmjQJv/32m0rLFGtra3h7e6OnpwcNDQ1oaWkZkXhVjrYqR1+trKxuWqQoMTERP/zwAwDAxECKdQ/WwW2YqfAl9RxsPuiEHpH8HF966SVMmTKl33YdHR3Yvn27imjYunUrHB0d0d3djYqKCpSVlZF/yuJxIExMTFRSmD09PWFpaXlTxG51dTXef/998tmz2WwEBQXBy8trQPEpEAhQUFCAvLw8ImJtbW2xceNG1NTU4KOPPuq3j5mZGV555RWMGzduWOcnk8nw7LPPoqenB1ZWVti+fbtG+3333XdISkoCIP+d8Pb2HtZx+yKRSHDw4EGVum89PT2EhoYiMjISwcHBo9pd+Pjx4ySTAZCXZzz22GO38YxGDxKJBF988QWuXr1KHnN1dUVQUJCKYZgyMpkMVVVVuHr1qkoPZsVCIQ0NDQ3N3Q8tbG8CFEWhuLgY6enpKCsrQ3V1NXp7e8FisWBrawtLS0sy6eZwOJg/f/6Iowx5eXm4cuUKAHnk5eOPPwaDwUB+fj4+/fTTAVvTMBkUdq8oh/4wzZXUkVpggu3H5SlfDzzwABYtWqT1mNrS1NQEGxsbdHZ2IikpCRkZGaiqquonBG1sbODn54e4uDiMGTMG586dw3fffQcA8PT0VCuchkNVVRXOnz8PQC5Y33rrLfJcUVERvv32WzQ2Nqrsw2QytapD5HA4aoWrvb09LC0tb0uaI0VR+OSTT3D9+nUAgBFHimfimjHZd+i2TBQl7yu856wNev8/um5sbIxPP/10QEMomUyGP//8E8ePH8f48ePxyiuvDChCOzo6UF5eToRueXm5Rv2ULSwsiMhVRHa1NagSCAQqbXisra0xbdo0FSOmweDxeDh//jwRxWPGjMGaNWvw/fff4/Lly2Q7f39/rFixYkTn29jYSFr3hIWF4Y033tBov9LSUqxfvx6A3PQqPj5+0BT2oVD+7VOHkZERJk6ciMjISPj5+Wl1rJtBQ0MDXn/9dQDyhZOvv/5aJ1Hsu4F9+/bhn3/+ASDPVIiIiACXy9VoIUksFpO/vYr93333XbpumYaGhuY/AC1sbwOfffYZSXWdMmWKVn9wZTIZTpw4QSbi8fHxWLJkCZ566qkh6yhX31eP8Z7aO4nuOGWLC7nyFOrVq1dj/PjxWo85Ujo6OvDee++hrq4Otra2+PLLL8lzYrGYpKux2WzibKzMBx98QHoCz507V+u+mDKZDH///Te6u7vBYDCwY8cOmJqa4vPPPx+yB+hgcDgclVRh5duKesbRRk9PDzZv3qySFh/i0Y25oXz4u/WA2eeUZTLgeoURjl81R25V/5pzFxcXrF27dtDa55E6pba1tRGRW1pairKyMo3qwm1sbIjIVQje4bRt+f7773H27FkAclEbFxc37KijQCDAyZMnSdTKzMxMpT5xwYIFePDBB0cs9C5duoRt27YBkKd/33///Rrvu2HDBvL5BwYGIiQkZETn0NnZqWKI9cwzz6CiogKXL19W+zmZmZkhIiICERER8Pb2HjXfj99//x05OTl47rnn4ObmdrtPZ1RQVFSEd999FxRFgclkIiYmBo6OjsMag6IopKeno6ioCIA82rtp0yZ64YCGhobmLoeusb3FdHR0kCiDoaGhRvVpg8FkMjFu3DikpKQAAI4dO4bs7GyNIn5nrptpLWy7ephIK5BP3BXGVbeL69ev45tvviET274ppnp6enB1dR1wf5lMRlb5jYyMtBa1gPzzcXV1RUFBASiKQkVFBfT09DQStQq3X3U1r+bm5qNmcq4phoaGWLt2Lb799lvy+rPKjZFVbgwTAyk87IWwNRODAgNNfDYqGjnoFqqKrwkTJqCkpATt7e2oqanB+++/j//9738DpieOtP2HpaUlwsLCiJs1RVFobW1VSWEuKyvr5/zd0tKClpYWlc/X3t6e1Ox6enqCy+WqzdCoqakhopbNZmPatGkjSqU1MjLCtGnTcOrUKRWzJkNDQzz//POYOHHisMdURrm+VhPjKGWeeuoprF+/HlKpFDk5OaRd0XDo6elBUlISEbXjxo1DdHQ0GAwGHn/8ceTm5iIlJQWZmZmk12lHRwdOnTqFU6dOwdbWFhEREYiMjLzlYpKiKLS3t0MgEIDJZOK+++7DQw89dEvPYbTzyy+/kHT64ODgYYtaQJ6CPGHCBDQ3N6OtrQ3V1dU4d+4cZs6cqevTpaGhoaEZRdDC9hZTWlpK/mhzuVydpIW6u7sjLS2NiFmFe66VlRUcHR3B5/NRW1vbz0Amq9wY1ysMETxCIx8A+C3ZGmKp/DVERUVp3Ud1JIhEIvzxxx84ceKEyuPDjUg1NzeT1O2BhNJIUB6roqICM2bMgJ6e3qBtdV588cUBHY/vZAwMDODh4dFP2Hf1spBTOXB/U1NTUyxfvhxhYWFobGzEBx98gJaWFtTX1+O9997D//73P9ja2t6081a04LKxscGkSZMAyEVKY2OjSmS3oqKCiCkFipZKly5dImM5OTmpRHbd3d1VnIuDgoI0Tj9Wh6JPtCJiZWFhgfXr149IJPRFG2HL5XKxaNEi/PnnnwCA5ORkdHR0IDAwUKPfwqamJqSmpqpEZfPz87F7924sW7YMbDYbwcHBCA4OhkgkwrVr15CamoqsrCzyfWtubsaRI0dw5MgRuLi4IDIyEhERETfNQVckEiEtLQ2XLl3qF/lXXAtjx45FTEzMsN/Pu43y8nIS0Tc3N9dqoZTFYmHy5Mnk78KZM2cQFxd31/2m0tDQ0ND8Cy1sbzHKbTKsra11MiaLxYKlpSVpT6OAx+Ohvb0dcXFxePPNN9HW1oaKigpcv36dmHJ8d9oOmx6tgYXx8EyIACCzxAhJOfJUXgaDAR8fH+1fzDBpbGzE559/jqqqqn7PDVdkK0ff1LVbGinKYwkEAnA4HMTHxw/aW1RhCHa3wefzcfToUQDya2bp0qW4ceMGSktL+7XzUE6htbKyItFTe3t7rF+/Hh9++CFxgH7//fexdu3aERt9jQRFz2YHBwdERkYCkH9u9fX1KC0tJXW7FRUVKosYFEWhtrYWtbW1xPGVwWCQz5vFYmltrATIW/gohK2pqalORK0i6wCQC4+hWmCp47777gOPxyOGadnZ2aiqqoKfnx+4XK7aBanW1lYUFhaqtGpS7pWdmJiI+vp6vPLKK2RBQF9fH+Hh4QgPD4dAIEBGRgZSU1Nx48YNsshXU1OD/fv3Y//+/fDy8kJERAQmT56s1pk4LS0N9fX1mDNnjka/DzKZDKdPn8ahQ4dUTOCUUb4WEhMT4evri6eeemrQzJK7GWUH5LFjx2q98GtjYwNbW1s0NzejpqYGFRUV//nFAxoaGpq7GVrY3mL4fD65rU1Epi+mpqZE2C5duhTHjx8Hj8cjk6vk5GQsXLgQs2fPRlxcHDZv3owbN26A18XGBwecsGZRHaxNNRe3V0qN8NWxfyMcFEXhq6++Qk1NDRYuXHjLjFr27NmjVtQC0LieSigUora2FteuXSOPaWPe1BflSHlzczPeeustFcMoKysrTJ06FS0tLbh69So4HA58fX11dvzRxKFDh0hUPCYmBnPnzsXcuXNBURTa2trQ2dkJBoMBU1NTWFhYYN26dSgvL0dlZSWqq6vJhN/W1hbr16/HBx98gPr6erS0tBBx6+zsfNteH5PJhLOzM5ydnUlLK4lEgtraWpUU5r5GZhRFkevEyclJJ26+5ubmsLS0RFtbG2pqatDb2wsDAwOtxmxpaSEizcPDY0SLLwwGA0899RQsLS1x6NAhyGQytLe3IzU1FZcvX4aVlRXMzMzAZDLR09MDHo/XL+Xby8sLK1euRH5+Pr777jtIJBLk5eVhw4YNWLVqVb9rwMjICNOnT8f06dPB5/Nx6dIlpKWlEeEPACUlJSgpKcEvv/wCPz8/REZGYuLEiTAxMUFZWRm++uorAMC1a9fw9ttvDypueTwetm/fjoKCApXHORwOrK2tYWBgAJlMho6ODrS3t5Pfm8LCQqxduxaLFy/GvHnz7srFrcFQrr93d3fXyZju7u6kLKW0tJQWtjQ0NDR3MbSwvcUoi5ybNWkJCwtDbGwsjh07hqNHj0IoFEIgEODXX39FQkICHnnkETz33HN499130dLSgtpWfby11xVLp7ciyq8Tgy2Sd/cy8XuyFRKz/3VTtbCwQHt7OyiKwqFDh3Djxg2sWLFCJzWqQ+Hg4ECcdvvSt75SIpGgoaEB1dXVqK6uRk1NDaqrq9HU1NQvTVsToyBNUY5EKnobA/LI3Ny5c7Fo0SIiOBTncTdOaOvr60kNKYfDUTEdYjAYsLKy6pcCHhUVRVJfL1y4gEcffZQ8Z2VlhQ0bNuDDDz9EdXU12traSM3taIp4sdlsuLu7w93dHdHR0QDkRmbV1dUkspuTk0MWpnSVyaEYq62tDRRFobq6WutI8HD71w4Eg8HAokWLEBISgh9++IGMK5VK0dzcPGALJkNDQ9x3332Ij48Hk8nEtGnTYG9vj88++wwdHR1obGzEhg0bsHLlSgQHB6sdw9zcHLNnz8bs2bPR3NyMtLQ0pKamkgUyiqKQm5uL3Nxc7N69GyEhISoR99LSUnzyySdYs2aN2oWC5uZmbNq0SeU1cLlcjB07FjY2Nv2+22KxGOXl5cjPz0dHRwekUil+++03tLe3Y+nSpXflb4E6KIoibfJMTEx0Vtai/H1Svn5paGhoaO4+aFfkW8yBAwdw6NAhAMD06dN1Zl5y8uRJMpHatWsXGAwGbty4QVpi9G1f4uXlhfvuuw8//fSTygTM1kyM6QGd8HXqhYuNCHosGbp6Waho5OB6hRFSC0wglPyrfCMiIvDcc8/h+PHjOHDgAIk8GBkZYfny5aQe8WYhk8lw/vx5/Pjjj/1coC0sLDBr1iwiYOvq6jTu+6qnp4fFixfrpAY6OTm534Rq7NixePLJJ0eVALvZKDtBa+qm29HRgZdeeglSqRTm5ubYvn17v2yAjo4OfPTRRyRF1sTEBGvXrtXamO1WcurUKfz0008AtHdKVyY7O5ss/OjCsXz//v34+++/AQCvvfaa1kZUwL/t0c6ePYuCggI0NTWpPG9oaAgPDw9ERERgypQpasVkS0sLtm7dSoSRIs19zpw5GgvDmpoapKamIi0trV8LLnX4+flh9erVKgKst7cX//vf/1BfXw9A3pYqMjJSoxR5qVSK69evE1d2AHj44Ycxf/58jc7/TkcoFOLJJ58EIC83mDVrlk7GFQgEOHjwIABg4sSJpFUVDQ0NDc3dBx2xvcUop1e1trbqRNjKZDIiXK2srPDbb78hJSUFIpFowH1KSkrw6aefws/PDx4eHkhPTwcANHfo4UDq0MZJHA4HDz/8MOLi4oi7p5+fH7Zv346WlhYIBAJ88cUXiI2NxdKlS2+KqZTC8bWtrU1ta6P29nbs379/yNfh7OwMV1dXuLi44Pr167hx4waJqGmbDicSiYiZFyAXXUuXLsW0adP+M5EYQJ5iqRC1FhYWiI+P12g/MzMzhIaGIiMjA3w+H9nZ2f3EmZmZGdauXYuPP/4YpaWl6OrqwqZNm7BmzRp4eXnp/LXcDJSvBV2uNep63VIb46iBUNTnK2r0u7q6SBmFwp18qAUmGxsbbNy4kThuUxSFn3/+GTU1NXjyySc1csd2cXHB4sWL8eCDD6K0tBRpaWlIS0tDe3u72u3z8vLw3nvvYcOGDeT37Y8//iCi1szMDDNnztS4Xp/FYiE0NBRmZmZIS0sDAPz5558ICQn5TyyA3azfw1uRJUVDQ0NDMzqghe0tZsyYMeR2ZWUlQkJCtP5jW1tbSyKRbW1tSEpK0njfvLw8MJlMREREgM/nIy8vb9DtDQ0NMW3aNMTHx/dzofXx8cHmzZvxww8/EAfYxMREFBYW4uWXX9ZqciYQCFTSh2tqalBVVTWgKUtfWCwWHB0d4eLiAjc3N7i4uMDV1RW2trYqk2Z3d3fcuHEDAJCbmwtXV1etoraFhYVEdDs7O2Pjxo3D6mt6N0BRFPbt20fu33///cOq9Zw2bRoRxRcvXlQbdTQxMcHbb7+NLVu2oLCwEAKBAJs3b8bq1asxduxY7V/ETcbc/N/Ufk2vaU1QHkv5GMOhubkZN27cgLW1NTFvMjEx0WnKtDImJiYj+o4YGBjglVdewYEDB0hUOSkpCQ0NDXj11Vc19jRgMBjw8vKCl5cXHn30UWzZsmXAcofy8nK888472Lx5MyoqKnDq1CkA8t+b6OjoEZnQeXl5oaOjA7m5uZBIJPjxxx+xYcOGYY9zp6GnpwdDQ0P09PTotBREeayRfgdoaGhoaO4MaGF7i7GysoK/vz9yc3PR2dmJ2tpauLi4jHg8iqKQn5+vch+QTxI8PT3h6OgIKysr6OvrQyqVor29HU1NTSgpKUF3dzcAecQ3LS1NZRLm7u4OCwsLSKVSGBgYwMXFBR4eHggICFDbg1OBsbExXn75ZQQGBmLv3r0QCoWoqanBunXrsHTp0iHbLYhEItTV1ZE6WIWI7ev4PBh2dnYkAuvq6gpXV1c4OjpqFLXx9/eHs7Mzamtr0draioKCghG3nFBEGAH5ZPmVV175z4laAEhPT0dxcTEAubifMWPGsPYPCQkhDslXrlxBV1eX2vfRyMgIb731FrZu3Yrc3Fz09PTg448/xqpVq+Dv76+Ll3LTUE6bbmlp0dm4irFYLNaIF5a2bNmCmpoalceYTCYOHz6MSZMmwcnJSevz1BVMJhOLFy+Gs7Mzdu3aBbFYjPz8fKxfvx6rVq0a9m8tk8lUcWJWh6KUQyFqAXn/VTMzs+G/AKX9q6qq0NnZiYKCAlRUVNxRqfUjgcFgwN3dHQUFBRAIBOjp6Rn0b42mKP/tuNvfQxoaGpr/OrSwvQ3MnDmT1FGlp6fD3t5eYwffvpSXl/erBxs3bhyCg4P7jamnp0fakwQEBKCkpARXr14lxijKzqOTJ0/Gvffeq7I/j8cjopSiqAEFKoPBQHR0NHx8fLB9+3ZUVlZCLBbjxx9/RE5ODpYvXw5DQ0M0NDSoRGCrq6vR0NCgcfqkubk5BAIBOf8nn3wS06ZN08r5lcFg4Omnn8b7778PiqJw7do1mJmZDXtCLBAIkJSURGqO586dq9UCxp2KRCLB77//Tu4/9NBDw3bMZrPZiIyMxMmTJyEWi3Hp0iXExcWp3dbAwACrV6/G559/juvXr0MoFOKTTz7B66+/PqCZ0GjAzs4O5ubm4PP5aGho0MmkvrW1lRiXeXh4jPg3pm9fXkBe17x//34cOnQI27dv10rE3QymTJlCTKUUi3kbN27EihUrhl1nbGhoqBL5VhidcTgc6OvrY8mSJejp6SHGcHp6elq3PmOxWPDz88Ply5cBAGfPnsVTTz2l1Zi3m46ODjQ0NMDExASmpqYwNjbulw3j7e1NnKTLy8u16mMLyP9OKafP66KNFg0NDQ3N6IUWtreBCRMmwM/PD3l5eeju7kZqaiqmTZs27JRXHo9HamMBeXQhOjpaowgKk8mEj48PHB0dkZiY2C/1648//kBlZSUeeugh2NnZ4cKFC9i5cydsbGwwbtw4ZGZmYv78+f3ErzLOzs5455138OOPP+LChQsAgMzMTNJWR1MjJyMjI5Xoq6urK5ydnZGWlkYMdwIDAzFz5kyNxhuKsWPH4p577sGxY8eIOdX48eM17qvY1NSE5ORkEhF3cnLCgw8+qJNzu9NITEwkCy/jxo1DaGjoiMaJiorCyZMnAcjdkQcStoC8f+nrr7+Obdu24cqVKxCLxdi6dSteeeUV0gt3tMFgMBAVFYWjR49CJpOhoKBAa6Mn5bKC6dOnj3gcf39/nD9/Xu1zo9l70MvLC++//z62bt2KiooK9PT04NNPP8Wjjz6KuXPnalwCsmHDBhQUFMDMzAx2dnawtrbul/2Rm5tLFti4XO6IFxGUUXgfUBSFwsJCrce7nbS1tWHVqlWk1Rcgv+aNjIzAYDCgr6+PF198EdOnTyd9rgsLC+Hr66tV67iGhga0tbUBkF8P/8XFRRoaGpr/ErSwvQ0wmUw8++yzWLNmDYRCIaqqqnD+/HlERkZqbLJUV1eHixcvqrShiImJgaOj47DOxdTUFDNnzsTx48f7RWYuXbqEK1euICYmBhcvXgRFUSqtOP7++2/Mnz+fiL2Ojg6V+ldFFLbvuAMJWj09PRUjJ4WItbKy6jcJ7e3txV9//UXuL1myZFiveygefvhh8Hg8pKWlQSaT4cqVK6ioqIC/v/+AdbctLS3Iy8sjzqyA3NRmzZo1N8U8azRCURR4PB4sLS3R29tL3EgB4JFHHhlxPbm7uztcXV1RXV2NkpIS1NXVDbqAo6enh1deeQVff/01Ll++DIlEgi+++AIvv/zyTXfqHgmlpaXIysoi9/Py8sDlcmFpaTmi8Wpra4lLtJGREaZMmTLicwsKChpQ2D788MOjLlqrjLW1NTZs2IAdO3YQkfjLL7+gpqYGTz31lEblCdbW1kO+f8pRQV21OdPT04OFhQXpQywUCu/Y35HOzk4VUQvIfysUi38AsHfvXnz00UcIDAxETk4Ourq6cP369REvhimyOxToauGThoaGhmb0Qgvb24S9vT1effVVfPrpp5BKpaipqcHRo0cxfvx4cLncAVepOzo6cOPGjX51X76+vsMWtQqMjY0RHh5OJq+KFLvOzk6IxWKV2jFlhEIhdu3ahdbWVlRXV6v0a9UUJpOJkJAQ3HvvvRgzZozGUesTJ06Q402ePFln7VGUz+ull16CpaUlTpw4AYqi0NraigsXLkBPTw9WVlYwNzcnQq69vV2tYGcymTh06BCio6Ph5eV117ty7t27F6dOnYKzszOcnZ1JCmdERISKcdpwUUQ0f/31VwByE6mhFjPYbDZWrFgBNpuNlJQUSKVSbNu2DS+88IJWQk+XdHZ2Yv/+/Th79qxK9FORKTBr1qxhGxC1t7cjJSWF3H/00Ue1Ss8PCAgAg8HoF52dNGkS5s6dO+JxbxUGBgZYuXIlDh48SBbDzp07R0yldCHMldup6VLom5mZkT7E7e3tsLe319nYtxKFUd9A/YkB+e84ADz22GNYu3YtJBIJcnNzYWlpOWwHbplMhtTUVPL74+PjM2q+8zQ0NDQ0Nw+6j+1tJjs7G9u2bVOpb+VwOMT0ydDQEDKZDHw+Hy0tLf16PALyCfwDDzygdfrb6dOnSdroG2+8gaKiIhw/flzjlGFtMDAwwDPPPIOIiAhUVlYiMzMTMTExsLLq33qoo6MDr732Gnp6esBkMrFly5YRi3pNyM/Px+7du1FbW6vVOJ6ennjqqad0LsJHEytWrOjXM5nFYmHr1q2ws7PTamw+n4+XXnoJMpkMVlZW2LZtm0YLITKZDN9//z3OnTsHQC6Sn3322WGbWOkShXD97bffVOo3nZ2dIZVK0dDQAEDuEDxt2jSNo4C1tbVISUmBUCgEIDchevPNN7VeUHn77bdVMhEcHR3x/vvvj8j193aSlpaGHTt2kEwXW1tbrFq1Sut2Onv27MHp06cByOvpdRW1Ve6BvXXr1pv6O3czkEgkuHLlChITE4nbvDruvfdelYWqI0eOkNp8BoOB8ePHY9y4cRp93wUCAdLS0lBXVwdA/vf0ww8/vOPeOxoaGhqa4UNHbG8zQUFB2LJlC77//ntSeyoUClFRUUFSCdWhp6dHJmdjxozRSU2Xj48PEbY5OTl44okncPLkSY2ErZmZGZydndHS0qKyKs9kMuHq6gp7e3tYWFhAT08PIpEIPB4PDQ0NRCz29vZi+/btuHz5Mq5fvw6RSISrV69i06ZN/SYzR48eJWlt06dP1+mERVHP5ujoSFpDjBs3Do8//jh27tzZT7Qpw+FwyGKEco9dhYFUWVkZNmzYgPvuuw+LFi3Sqo3QaEUhqJSRSqXYv38/li1bpnHLFXWYm5sjODgY165dA4/HQ25uLgIDA4fcj8lk4plnngGbzUZCQgIoisKuXbsgkUgGrdW9WZSVlWHPnj0oKSkhjxkYGOCBBx7ArFmzcOHCBfzwww+gKApdXV04efIkfHx8MHbs2AGjga2trcjLy1P5zeByuXj55Zd1kiXg7OxMhC2LxcKrr756x4laQJ45YGdnh61bt6K9vR3Nzc3EVGqkKa8AVN6Lvim32qA81p30fjc3N+Ps2bM4f/78gH2AFURHR2Px4sUqj82fPx+NjY1ISkoCRVG4evUqqqqqEBgYCCcnJ7W/nUKhEKWlpcjJySE93PX09PDaa6/RopaGhobmPwItbEcBlpaWWLVqFYqLi5GQkIDLly+r1M4qY29vj5iYGPB4PJIirKs/2srjlJeXo6amZsDzUGBjY0MiN1u2bFERtT4+PggKClLr7urg4AA/Pz90dXXh6tWrZNKs6FcKABUVFUhPTycpaoB8Aq+IjOjp6WHRokUje7ED8PPPP+PkyZOwsrLChx9+CKlUil9//ZU4nqrD3d0dY8eOha2tbT8RIZFIUFlZiby8PLS3t0Mmk+HQoUPg8Xh45pln7jpxq5hQ9iU1NRVsNhvPP/+8VuNPmzaNLABdvHhRI2ELyMXtk08+CT09PZw4cQIAsHv3bojFYsydOxcnTpzAxYsXcd999920Gtyuri7s378fiYmJKmm9kZGRePTRR2FmZob9+/cT8xwFisWWwsJCWFlZwcrKCiYmJqAoCp2dnWhtbQWfz1fZJzg4GC+//LLOxND06dPJd2DRokVaRzhvJ2PGjMGmTZuwdetWlJeXo7e3F1u3bsXDDz+M+Pj4ES0EuLm5kds8Hk8n74+izAGQL+qM5lpmQL6AlZWVhYSEBGRnZ/dLXbe3t4ehoaHK4ktISAieeuqpfu+5wp3e1NQUR48eBUVRaGlpQVJSEgwNDWFrawtzc3OwWCwIhULweDy0tLSoLMKamZlh5cqVWjsr09DQ0NDcOdDCdpTAYDDg4+MDHx8fLF++HLW1taisrCTpttbW1vDw8CBmMlu2bCH7qkvXHQkcDgfGxsbo7u5GTU0NGAyG2to6ZTo6OmBubo59+/aRVDM9PT1ERUVp5M5sYmKCqKgolJWVEaMmZQ4cOIBJkyYRAXjo0CEitmfPng1ra2uyrUwmQ1tbG0QiEamDHY5wLCoqIs67PB4PW7duRU1NjUrURF9fn4g3Q0NDREZGDvo62Ww2xowZAw8PD9y4cYNM+M6dOwdLS8u7yi1ZJpMNuhCii+s0NDQURkZGEAgEyMjIGFZbHAaDgaVLl0JPTw9HjhwBIF/IyMrKQk5ODgDghx9+QGhoqEamQpoik8lw4cIF/Pbbbyru47a2tli+fDn8/f3B5/OxefNmFSfj8PBwODs74+jRo+R95fF4g2YNGBkZ4dFHH8WMGTN0Ws8dGBiId955B2KxeNT3BNYEKysrbNiwATt37sSlS5dAURT27duHmpoaPP3008POgFEuL6iurkZQUJDW739TUxP5rfH09By19fk8Hg9JSUlISkrqd20ymUxMmDABsbGx8Pf3R0lJCd555x0A8te0cuXKAf0kmEwmHnroIYSEhOC7775DfX09AHkUu6qqatBzioyM1DpDhIaGhobmzoMWtqMQNpsNd3d3uLu7D7iNcsqnvr6+zo7N4XDQ3d0NoVAIZ2dnbNq0CUVFRejt7SXunPX19aSFwvjx41FcXIxjx44BkE9GYmJihl1P6enpCRaLRdoCKairq0NycjKioqJQW1tL6iQNDQ0xf/588Pl8nDt3DteuXUNlZaXK+8LhcODu7o6QkBBER0eT1GJ1SCQS/PDDDyqPFRcXk9smJiYYM2YMrl+/DkBuuDVr1iyYmJho9PqYTCaCgoJgZmaG5ORkUBSFv//+G+PHj4eXl5dGY4x2BorWslgs3H///Zg/f77Wx9DX10dkZCQSEhIgFApx+fJlTJ06FW1tbbCxsRly8s9gMLBkyRLo6+vjwIEDAEBELSA3c7px4wZCQkK0PldAnnXw448/qlxLijKC5uZmNDU1QV9fH19++SURBSwWC4888gjmzJkDBoOBWbNm4fz580hOTkZNTU2/hSYWiwUul4sZM2ZgypQpWhlFAfL3oLS0FBUVFcS4yNjYGO7u7loZgI02OBwOXn75Zbi4uJBr4cKFC2hoaMBrr7026O9FX+zs7DBmzBiUlpaira0Nzc3NWteUK7f4iYiI0GosXSOTyZCTk4OEhARcu3at34KkjY0NYmJiMH36dBVnbx8fHzz33HOora3FvHnzNLpWx44diy1btiArKwuJiYnIy8tTW/JgZWWFiRMnYubMmRotqtLQ0NDQ3H3Q5lF3KB999BGys7MBAA8++KDWk1kFhw8fRkdHB/T19bFnz54BtxMKhWhtbYWDgwM++ugjEq0dP348AgICRnz8S5cuqYgAALCwsMC2bduwfft20rd34cKF6OjowLlz5zSqAWaxWJgxYwYefvhhtemZymYlfYmKikJMTAzeffddUBQFJpOJe+65Z8StWLKzs4lAdnd3x4cffjhqozHDgc/n44UXXlB5zMXFBS+++CK4XK7OjlNSUoINGzYAkKfxS6VSdHR0YNasWXjiiSc0HufTTz/F1atX+z0+depUvPjii1qdY3d3N/bv309qehWEh4ejsbGRpGMqMgoUwsDCwgIrV67E2LFj1Y7b29uLqqoqdHV1gcFgwMzMDK6urjpZ3CooKMCpU6eQmZk56HfKx8cHcXFxiIiI0KrH6Gji0qVL2LFjB1mcsbGxwapVq1RSjIfiwoUL2LFjBwD5dTl37twRvz/19fVISEgAIG/Jtn37dp34KGiLYiHx7Nmz/RyOFSZPsbGxCA4OvmllFjKZDHV1dWhuboZUKoWBgQFcXV2HtRBBQ0NDQ3N3Qkds71CUowHt7e1wcHDQekypVEpSJYdqK8HhcODk5IS6ujoiak1NTbWuZwoNDUVFRYVKSmt7ezvpQwnIo6Xnz5/vl/ZmayaGm60Ihvoy9IiYqGrWR3OHHnltiYmJuHbtGl566SWMGzeO7NfY2EgiNupwdXVFWloaESgBAQEjFrWK/auqqtDW1obKykoUFhYOKGTuZO655x4sXrxYpxkFXV1dKCwsBJvNhkQiIZkDAJCbm6vxOJcuXVIragEgMzNzxD1DZTIZkpOTsW/fPpX2V05OTnjiiSfAYDDwwQcfqGyvYOzYsVi5ciUsLCwGHN/AwAA+Pj7DPq/B6Orqwt69e5GcnKzR9kVFRSRt//nnn4eLi4tOz+d2MHnyZGIq1dbWhpaWFmIqFRYWptEYkZGROHbsGKqrq9HW1oarV69iwoQJw1606u7uVqnp14XjvTZQFIW8vDwkJCSoXfSwtLREdHQ0oqOjVUpDbhZMJhMuLi53xXVHQ0NDQ6NbaGF7h6Jc09XU1KQTYdvS0kLEm6Z9Ay9fvkxu+/j4aL1Kr6+vD09PT5U0PADEMAiQ11h1d3cDAAz0ZJgZwkdsUAfszCX9xmvis3E22wxnrpujR8QEj8fD5s2b8eqrrxIX1M2bN0Mi6b+vghMnTpA6WxaLpbUIZTKZ8PPzI71Gz549O6qFLUVRKC8vR3FxMSoqKtDZ2QkGgwFTU1NwuVx4e3uDy+XC3Nwc4eHhKCoqwiOPPKLzvpEURWHjxo2k1q4vw4nYKHo2q6O3txdXrlxBZGSk2nPg8XgoKytDU1MTJBIJ9PX14eLiAjabjT/++ANFRUVkew6Hg4ULF+Kee+4Bm81WEbXK2NraYs2aNTpdBNCEmpoafPTRRyqLRAYGBuByubCxsYGpqSkYDAYEAgF4PB4qKyuJUVVZWRnWrl2LF198UcXg7U7F09OTmEqVlZVBKBTis88+w5IlSzB//vwhBarCHG39+vWQyWQoKCgAIF+s0zRyy+fzkZSURNq/+fn5ITY2VrsXNkI6Ojpw8eJFJCYmkvZTChgMBoKCghATEzOs10dDQ0NDQ3MzoYXtHYq/vz8xdiopKUFAQIDWolJ5Qq5pOnFZWRm5rasVdBcXFyJsLS0twWKx0NLSQp5XRLn8XHvw3Owm2JoNLErtzCV4aBoPccEd2HnaFrlVRpBIJPjyyy+xceNGeHp6orW1ddDzcXBwIKY+rq6uI4rk9cXd3R2XL1+GRCLpJ+JHCxKJBElJSTh9+vSQPXzd3Nwwc+ZMvPTSSzo1XlJGLBb3c/9VZjjmVHPnzkVlZeWArUgOHjyoImy7u7tx4cIFJCQkDCis+zJp0iQ89thjJIpVUlIyYFS5ubkZp0+fxrx58zR+DdpSV1eH999/n2Rp6OvrIzQ0lNS7K2NtbQ1XV1cEBQWhoaEB6enp6OjogEQiwVdffQUGg4Hw8PBbdu43C0tLS2IqpcjS+P3331FbW4unn356yIUHDw8PPP300/juu+8AyNO7GxsbMXHiRNjZ2Q0ojsViMQoLC3H9+nXy+2Zvb48VK1bcUud0hQN3YmIi+X1SxszMDDNmzBiRjwINDQ0NDc3Nhha2dyi2trYICgrC9evX0d3djdLSUnh7e494vLa2NuI0aWJionHLE8U+enp6OnOgVBYojo6O6O3tVRG2ADDZpwsvzm0EW8NAgY2ZBGsW1ePrE3a4VGgKsViMHTt24IMPPsBDDz2EM2fOwN7eHlwuF2ZmZqS9hoWFBYqKioiwtbGx0clrZLFYsLKyQlNTE5qbm9HZ2TmqHDzLy8uxY8cOVFdXa7R9VVUVfvjhByQmJuL5558fVm2ipujr6+OFF17Al19+qTbCPhxhGxQUhO3bt6O4uBiZmZnIyMhAU1MTeV6x2EFRFNLS0rBnzx50dXVpPL6NjQ3mzZunkpq5a9euQfe5cePGLRO2YrEYX3zxBRG11tbWmDFjxpDtgRgMBhwdHREfH4/09HSUlpaCoih8++23cHd310nmyO1GX18fK1asgIuLC/78808A8tZSDQ0NeP3112Fubg6JRILLly/D1dW137UeHR0NQN5OSiqVoq2tDadPn4alpSVcXFxIr2uZTIaOjg40NzejqqpKpfzC2dkZa9asGTQtXZd0d3eT6Ky6RSx/f3/ExsZiwoQJN23hioaGhoaGRlvov1B3MPHx8cSE6MqVK3B0dNTYpVcZqVSK1NRUEimYNWuWximRihRdAwMDnRkgKcZS9C5UFhwA4G4rHJaoVcBiAi/OaUJDmz4qmjioqanBiRMnsGDBAsTHxw+436VLl8htXRqUmJmZkdfG4/HUCls+n4/MzEwUFxcjKChIbXqsrklNTcW3336rUktnZ2cHLpdLeqgC8trMlpYWVFZWEiOZiooKrF+/HitWrMDEiRN1fm5hYWF466238Omnn/ZzRh1uOyEmkwlfX1/4+vrikUceQXV1NY4dO4a8vDzcc889kEgk2LVrV7/aU8U+bm5u0NPTQ3d3NyorK5GTk4O6ujoAIDWajzzyCOLj4yGTyVBTU6P2PBTp9w888MCwzl8bDh06RM7HwsICcXFxw0qDZrPZiIiIAEVRKCsrg0gkwq5du7Bu3bq7ojczg8HAwoUL4ezsjG+//RZCoRDFxcVYt24dXnvtNRw6dAhXr16FgYEBPv30037XXnR0NDw8PLBjxw6y+NfW1qZSEz7QcefOnYsHH3xQJ5khg0FRFEpLS5GYmIi0tLR+ruYmJiaYPn06YmJidNYrnYaGhoaG5mZCC9s7mICAAERFReHChQsQi8VITEzEzJkzh4y6KCOVSnHhwgVSY+fs7Ix7771X4/37urrqAplMRmp9+04EGaDw3OymYYtaBWwW8PzsJrz9iwsoioHTp08jPj5+0Box5demS/diZQGgfIzGxkYSRSwuLibvRUpKCiZNmnRTIybp6en4+uuvyTEtLS0RERGh1hTG0NAQtra2GDduHJqbm5GWlgY+nw+xWIxt27bh9ddfx/jx43V+jv7+/vjf//6Hjz/+mNRaA9Aq4s1gMODm5kZcnaVSKbZt24aMjAyyzaRJk/Dggw/C2dlZ7RgURSE/Px+//vorysvLQVEUfv31V0ilUixYsACenp6oqKiAtbU1xo8fDw8PD3h6esLJyemW1ih2dHTg+PHjAOTX4NSpU0dU28tgMDBp0iQ0NTWhq6sLBQUFuH79+k35zG8XkyZNgp2dHT799FPweDy0trZi48aNZNGnt7cXZ86cwZIlS/rty+VysWnTJqSmpiIhIQElJSUDHofD4SAyMhKzZ8++KdkOyvT09CAlJQWJiYmorKzs97yvry9iY2MxadKkW17zTUNDQ0NDow20sL3Deeyxx1BYWIjGxkYyYQ0PD4erq+uQ+7a1tSE1NZWIWkWq53AcOK2trdHR0YHu7m6IxWKduHcqu8kqp+cBQIiHAFw79f1SNcXNVoTxHgJcLTMGj8fD+vXr4ezsDFNTU7X/lAWoIkKtC5THMjIyQn5+PrZu3UqMY/rCZDJvajSsubkZO3bsIKLWy8sLkyZN0kh02draIj4+HpcuXUJZWRmkUim+/vprbNmyRSsH6YHw8vLCxo0bsW7dOhJp0mXa5scff0zcvvX09PDcc88NGS1nMBjw8/PDu+++i4MHD+Lw4cMAgN9//x1ubm7YtGmTzs5PG86fP0++Vz4+Plp9Pnp6eggLCyNmXAkJCXeVsAXkAvX999/H559/jpKSkn6uwImJibjvvvvURljZbDaioqIQFRWF5uZmlJWVoaqqCgKBgJQjeHh4wMPDQ2ct2waioqICCQkJSE1NRW9vr8pzRkZGmDZtGmJjY2m3YRoaGhqaOxZa2N7hGBsbY+3atfjggw/Q1NSEnp4enDt3Dg4ODvDx8YGjo6PKqrtUKkVLSwuKi4tRWVnZLxo53BV6Dw8PlJeXA5CnX+oiZa1vf0Rlpvt3aj2+YpyrZcYA5BM+RV/RoeDxeCqO1NqgqONURD537NgxoKgF5J/Pjh074OzsDCcnJzg5OcHe3l4nEVyKovDdd9+RCS+Xy8XkyZOHFaFmsViIiIiARCIhk/fdu3fjjTfe0Pr81OHi4oJ33nkHX331FZycnHTmLJ2QkEBELYvFwqpVqxAYGKjx/mw2G0uWLIGBgQH++OMPAMD333+Pjz/+GMbGxjo5R21QTq339fXVejwXFxcYGxuju7sbWVlZEAgEw8oauROwtLTEkiVL8OGHH6Jv6/euri4kJycP6V5sa2sLS0tLYvxnaGh409O2e3t7cenSJSQmJqK0tLTf815eXoiJiUFERMRNT32moaGhoaG52dDC9i7A1tYW7777Lnbt2kXa4jQ0NJAWDSYmJtDX14dUKkVHR0e/iZkCoVCI6urqYa3Yjx07FmfPngUgd0jWhbBVdloG5OevMO7xdupVt8uw8XIc2Tg1NTUICwvTOiWZx+MREWtvb4/m5mZER0ejqKhowM9HJBL1q/dksViws7NTEbuKf8MRF4WFhUTMGRkZITw8fESvkclkYvLkyWhqaiJtcyoqKsDlcoc9liZwuVxs3boVUqkU169fR1FREcrLy8Hn80FRFIyNjeHu7o4xY8YgNDR0yKiYSCTCL7/8Qu7fd999wxK1yixYsAB5eXnIyckBj8fD8ePH8eCDD45oLF0hFotJzafCIE1bmEwmnJ2dybVbWVmp0if6bkAikaik6Pfl2LFjiImJ6fedoSgKBQUFSE5ORmlpKWpqashiIofDgbu7O3x8fDBjxgw4OTnp7Hyrq6uRmJiI5OTkfotlBgYGmDJlCmJjY2/a95KGhoaGhuZ2QAvbuwRzc3OsWrUKycnJ+Ouvv1T6Dmrq5url5YWwsLBhHXfSpEnYu3cvurq6UFFRgcDAQK0my42Njf3MogwMDNDV1QVDfRksTaQD7Dk8LE2kMOJIIRCyYGZmBm9vb+Tm5vZL0etLZ2cn6urqBqyz1BRFj0tAHjF+7bXXAPybbtw33XEgpFIp6uvr1bagsbCwUCt4rays+k3AExISyO2QkBCtaus4HA6Cg4NJj+MzZ87g2WefHfF4gyESiXDixAmcOXNGpRerMgpHa0NDQ0RFReG+++4b0ARs7969JLXZzs5uWPXmfWEwGHjmmWfw2muvQSaTISkpCQsXLrytrrL19fXk2hqu2dZgKI91NwpbgUAwaKuphoYGJCcnY9q0aeSxrKws7Nu3b0DTMKFQiKKiIhQVFeGff/5BYGAgHn/88RH/tohEIqSnpyMhIUGldZsCd3d3xMXFITIyEoaGhiM6Bg0NDQ0NzWiGFrZ3EQwGA9OmTcOUKVOQm5uLzMxMlJeXo7y8nExm9fT0IJVK+5k92dvbY9WqVcMWNPr6+oiJicGRI0cgk8mQlpaGmTNnjijFTiwWIy0tTeWxyMhIkkLHYqqPlowU9v+fYkdHB65cuTLgdk5OTvDw8EBKSgoAICMjQ6sU4KamJrVpgYBuTbja29vR3t7er3eqgYGBitB1cHBAZmYmALko1UUUx8PDA1evXoVYLEZGRgaeeeYZnRpvAfK+yzt37lQr6hkMBhgMhsr72dPTg1OnTiElJQVPPPFEv5rZqqoqkn0AADNnztRahNra2iIsLAwZGRnkswgODtZqzJEikUiIazMAnYob5bEGS6e/UzEzM8Prr7+OpKQkFBUVqV0sPH36NKZNmwahUIiffvoJ586dU3mewWDA3NwcRkZGoCgKnZ2dKuPk5ORg7dq1WLx4Me655x6Nvy91dXU4e/YsLly40O+89PX1ERkZiZiYGIwZM0bn30EaGhoaGprRBC1s70KYTCYCAwNJCmVPTw/Wrl2LxsZGiMViWFhYoL29nWxvamqKt956a8SR1vvuuw9paWlobm5GU1MTkpOTMWXKlGE5vSrcmRV9NRWv44EHHsC2bdsAAAIhEyIxA/p62gtckYSBbuHA4tvNzQ1TpkxBeHg47OzsIJPJ0NjYiJKSEnR2diI9PR0RERHDnigqHEkVBAQEwMnJCZ2dnf3+9TXO0hW9vb0oKyvrl/INyBc4dOHQq6enBzs7O9TW1qKrqwvNzc2ws7PTelwF6loSubi4wMPDAzY2NjA2NgaDwUBPTw94PB4qKytRUVEBqVSKrq4ubN++HVVVVViyZAkRwJ988onKMTTt5TwU4eHhxF25tLT0pglbgUCA1tZWtLS0kH/K99va2lRSaXXtZK7gVjo830rCwsIQFhYGmUyGuro6kr5/7do1SCQSTJ8+Hb29vfj4449RWFhI9rO1tYWvry9cXV37LZQovosFBQXEgO/XX39FS0sLHn/88QF/XyQSCTIzM5GQkEAyEpRxcXFBbGwspk6dOirqumloaGhoaG4FtLD9D2BoaIiXXnoJ7777LqRSqYqoZbFYWL16NRwcHIY9bn19Pc6ePYvc3FxihATIUxGrqqpga2sLLpcLT0/PQd2S+Xw+UlJSVMYAgJiYGDg4OMDNzQ0VFRWQUQxUtejDy1E4wEiaU92iD6lMddKoMEwKDw+Hvb29ynNMJhPPPfcc1q5dC7FYjNLSUjAYDEycOFHjqF5nZyeSkpJIVGXMmDFYs2aN2ug2RVEQCoVobm7G+fPnYWRkBDs7u37it6urS+W+pinMA6Hr9NTa2loA8po/XQnbK1euqNQ7WltbIzIyUq0rsqGhIZydneHs7Izx48cjIyODtDg5cuQI9PX1sWjRIqSkpKikMpuYmMDGxkYn5+vh4UFuq2uvogkymQx8Pl9FtPYVrsONlA6WWjtclMdS1xrqboLJZMLFxYWIRwUymQxbtmwhopbNZmPChAnw8vIaUKAaGBjAz88PPj4+yMrKQn5+PgDg1KlTMDMzw8KFC1W2b2xsRFJSEs6dO6fiHg/IF5PCw8MRExMDX19fOjpLQ0NDQ/Ofgxa2/xG8vLzw4IMP4vfff1d5/LHHHoOXl9ewxmppacGePXtw9erVAbehKApNTU1oamrC1atX4e/vj4CAABURx+fzSY2ZuuhRZmYm7r//fowZMwYXLlyQP1ZqrBNhe6X0X2Ol0NBQPPbYY/3EbF+cnZ3x/PPPY/v27aAoCiUlJWhqasKkSZPg4OAw4ERSLBajuLgYWVlZKsLTzs5uwH0YDAYMDAzg6uqKpUuXavSaKIpCT08PEbkdHR1qI8GK5/h8fr/2Rbp0RlVOaxcKtf/MAHmLqr4ticLDwzVKfVfU2BYWFiI9PR0AcPDgQfj5+cHLywtMJpNch9bW1joTBspCT7nvrjIikUhFpKqLvGqzaGFmZgYbGxtYWVkhJycHQqEQra2tkMlkOnHmVXYyVxby/yUSEhJw/fp1APJrPy4uTmORrxDBlpaWSE1NBSC/NoODg+Hu7o6rV68iMTEROTk5/QysHB0dERMTg6ioKK16OdPQ0NDQ0Nzp0ML2P8S8efOQk5NDai7HjRuHmTNnDmuMixcvYs+ePSqCiMFgwMzMDBYWFmCxWBAKheDxeGQbiUSC69evIy8vj0TtlJ8fiPb2dhw+fBjz58/H3r17IZVKcS7HDIvC27RKRxZJGEjKkaddM5lMPP300xr38oyIiABFUdixYwckEgk6OjqQkJAAc3NzuLi4wNraGoaGhqAoCh0dHWhpaUFlZaXatOK0tDRYWlri0Ucf1YmIYjAYMDIygpGR0ZAiXYFMJkNCQgL27NkDAFpHfJVRHquwsBB2dnbDdmvuy549e4g4dHNzG3ZLIkDe4kYkEiErKwsURWHnzp345JNP8MMPP2D58uUQi8U3LU23s7MTJ0+e7Bd57Rt9Gw6Kfqi2trawtraGjY0N+ae4r7zI8MUXXyA9PR0ikQg1NTVwc3PT6vUJBAJSu6unp4fa2lo4Ojre9FY2owk+n4/ffvuN3J82bdqIItdjxoxBV1cXsrOzIZPJsHXrVlAUpZJlA8g/84kTJyI2NhZ+fn50dJaGhoaGhga0sL1rkUqlyMnJ6df+hMPhQE9PD2KxGPn5+UhKSkJMTIxGYx47dgy//voruW9oaIhx48ZhzJgx/dqoUBSFtrY2FBYWorS0FBRFQSwWk9RUTSkpKYGlpSUmTpyIS5cuoaOHhT9TrfDo9Nahdx6Ag6mW4Avkl74iSjIcIiMj4ebmhh07dpA6VT6fr1Fq58yZM+Hh4YHvvvsOFEXh+PHjMDIywqJFi4b/QnQAk8mEu7s7ud93Aq0NymOdOXMGZ86cASB3a1YYVym7Nqtza1ampqaG1KoaGBiMSNQq8Pf3R21tLZqbm9HY2IjLly9j6tSpsLCwILXiuopmKjuUV1dXY+/evcPa38jIaEDBamNjAwsLi2GdZ2xsLIlY37hxAy4uLlq9ztzcXBJFFIvF+OKLL2Bra4s5c+Zg+vTpd11PW3WcPXuWZCV4e3tr1bonMDAQ1dXVaGtrQ1tbm8pztra2iI2NxfTp0wd09qahoaGhofmvQgvbuwyRSITjx48jISFhwPYnyuzevRtOTk4YO3bsoNulpqaqiNoxY8ZgwoQJA7ooMxgMWFlZISIiAj4+PkhJSRlRTV9paSlOnDihksJ5/Io5/N16EOIxfPfV6xWG+OeKBQB5+t8DDzww7DEAuTnLu+++i/T0dJw5c0alfU9f9PT0MGXKFCJqAbnw/+677wAABw4cgIGBAe65554RnYu2uLu7g8FggKIoNDc3g6IorSNAirHUoXBr7mt6w+Fw+oldhWszm81WaUkUEBCgVdo0k8lEaGgoTp06BUAuvKdOnQoPDw80NzdDKBTqJJoJYEAHbED+PbGwsFARrX2Fq66Fob+/P1xcXFBTU4PW1lbk5+fD399/RGM1NTWRa19xDQHy1OSff/4ZBw4cwPTp0zF79myNswjuNCiKIm7aDAYDAQEBWo3HZDLh7++v0rN6woQJiI2NRWBg4H8qEk5DQ0NDQzMcaGF7F1FcXIwdO3Zo3P4EkKdJbtq0Cc8//zymTp2qdty2tjb8+OOP5H5wcDCCgoI0Pi9ra2vMmTMHCQkJ/QyijIyMBjW9oSgKP//8s+pjYODzI/Z4cW4Twn3U1yyqI6PYGNuP24Gi5KLt/vvvh4uLi8b794XFYiEiIgIRERHg8XgoKytDZWUlBAIBmEwmLC0t4eHhAQ8Pj34R7ejoaPT29pLX9ssvv8DQ0BDR0dEjPp+RYmBgAC8vLxQXF4PP5+vEwbihoYEsRri7u2PatGmoq6sj/9Sl3gqFQtKeShkmkwl7e3sSvWKxWBgzZoxW5wfIo18Kh/Di4mK0t7fDx8eHRDOTk5PxyCOPaH2cixcvktvR0dHw9fUlotXKyuqW97VVpN+/9957oCgK165dg4mJiUrkXhP4fD7Onz9P7i9ZsgTu7u44ceIEsrOzAchdwE+ePIlTp04hLCwMc+fOxdixY++q1NnGxkbyu+bg4AATExOtx3RzcyOZNebm5nj99de1HpOGhoaGhuZuhxa2dwnatD+RyWT45ptvUFtbi8WLFxOzo7KyMtTW1iI3N5eIFC6XS9oIDQd9fX1ER0fj6NGjJGXvscceQ0REBF588cVhjyeWMvHlPw6YOq4Ti6fwYGMmGXDb1k4W9qdY42Lev8YqQUFBmD9//rCPOxBWVlawsrLChAkTNN5n7ty56OnpwYEDBwAA33//PTgcTr/+qreC2NhYFBcXAwCys7MRGxs7YvFBURQRNgCwcOHCfq1zOjs7VYRuXV0dSQ3ua44jk8lUFmusrKyG3W9ZHQwGAw4ODiRlevfu3SqLO0lJSZg/f75WhjwKczRA/n28Gf18R4Kvry/mz5+PI0eOgKIoXLx4Ee3t7RpHBCsrK3Hp0iWIRCIAgI+PD+Lj48FisRAcHIyamhqcOnUKFy9ehEgkAkVRyMzMRGZmJrhcLubMmYOIiIhB3dLvFJQXYmxtbXUyJovFgrW1NRoaGsDn89HW1jbskgkaGhoaGpr/GrSwvQvQVfuTw4cPIz8/H3V1daQljTIcDgcTJ04c8cTc0NAQEydOJCl2WVlZcHZ2HtFYCpLzTZFSYIJQTwHGufTA3VYEQ30ZekQMVLVwkFdtiKtlRiRKq6CpqQm9vb23vf5v4cKF6OnpwbFjx0BRFL799ltwOByEhYXd0vOYPHky9u/fDx6Ph/r6ehQXF8PHx2dEYxUUFKCpqQmA3Pk5NDS03zampqbw9fWFr6+vyuMikQgNDQ0qYlfxv0QiX7zQZUsiZbFAURR8fHxISm13dzd++uknrFixYkRji0Qi7Nq1i9yfNWvWqBC1ChYvXoz29nZcuHCBLEZUVlZi3Lhx4HK5/USnYoGhoKCAmEUB8oj8qlWrVPrXuri44Omnn8bixYtx9uxZnD59mkTcKyoqsGPHDvz++++Ii4tDbGzsHV0vqpxyr+43d6RYWFiQ+uzm5mZa2NLQ0NDQ0AwBg+obHqG5o2hra8Obb75JIqrDaX+iID8/H5mZmUNuFxAQgPHjx4/4XAG5ePj777+JcFbU+mmCq6srwsPDMWnSJJSVlWHv3r3D6t1pZGQEAwMDUnscHByM1atX3/aaNYqi8MMPP5A6PT09Pbz55pvw8vLCb7/9hpaWFjz77LM3ffJ/7do1bNmyBYA8XXX69OnDTtWurKzExYsXySLLunXr4Ofnp3ZbiqLA4/HQ2dlJnLUHmrxnZ2fjo48+AqCb61BBVVUVSad9+OGHMX/+fNTV1WHt2rUkGvnII49g3rx5wxpXIpHg66+/xuXLlwEAnp6eePfdd1XE32hAJpPh0KFD+Pvvv1XKFBS1v2ZmZmAwGBAIBODxeGRxQcHEiROxfPlyGBsbD3ociUSC9PR0HD9+nBiuKVDUoM+ZM0cnNc23mr///hv79+8HAMyYMQOurq46GffKlSukDn39+vUYN26cTsaloaGhoaG5W6Ejtnc42rY/kclk/UymmEwm3Nzc4OTkhOLiYhKR0EVdI4PBgKenJ0lV1VTUvvzyy4iIiCD3XVxcEBwcjMTERCQmJvZzD1XG0tISMTExiI2NhVAoxPr169HV1YXr16/jjz/+wMMPP6zdi9ISBoOBp556Cr29vUhNTYVYLMaWLVvg4OCAqqoqAMBff/2FJ5544qaex/jx4xEXF4eEhATIZDKcO3cOAQEBCAwMHFKQSaVS0tJJIWrj4+P7iVqJRIKMjAxcvHgRJSUl/TIDLCws4O3tjaioKIwfP54sOiinHvcVV9qg3IZJUevq5OSEZ599Fl9//TUAYN++fWhtbcVDDz2kkWGVotduTk4OOffnn39+1IlaQP5df+CBBxAaGoo9e/agpKQEwL+u5gN9r6ytrfHwww8jIiJCo98bNpuNyMhIREREoLi4GMePH0dGRgZxSz937hzOnTsHf39/zJ07FyEhIbd9wUlTlOvne3t7dTaucu/nvjX6NDQ0NDQ0NP2hhe0djLbtTyiKQmpqqkqNmKenJ0JDQ2FoaAhAHjUA5GnI2tQaKjNUHZoiTdrJyQm9vb2wt7dXG6EzNzfHokWLcO+996Kqqgrl5eWor6+HSCSCnp4eHB0d4eHhAXd3dxVR8corr2Dz5s2QyWQ4evQoXF1dBzTOulUwmUw8//zzEAqFuHLlCkQiERG1AHD16lUsW7bspqeyLlu2DAKBAKmpqaAoCjk5OaioqICvry+4XC65LhQIBAKUl5ejsLBQxbl6xowZKgsGimvt119/HbSlUHt7OzIyMpCRkQFbW1ssW7YMNjY2RCQCGHQRY7gon4uDgwO5PWXKFDQ3N5NI3KlTp3D9+nXce++9iIiIUFvjy+fzce7cORw9epRkErDZbLz66qtamZTdCjw9PfHee++htLQUp0+fVjG8UmBjYwNPT09MnToV48ePH5FQZzAY8PHxgY+PD5qbm3H69GkkJSWR9ys3Nxe5ublwcHDAnDlzEBUVNepFnXKEVpfXpmLBkclkal2yQUNDQ0ND81+ATkW+g9mzZw9Onz4NQN4OYripakVFRSRVkslkYurUqSrOqFKpFPv27QMA0pdSF3R3d+PQoUMqjzk5OWHy5MmYPHnyLREBZ86cIU7Penp6WL9+Pby8vG76cYeiqakJb731lkq0RsHmzZuH7Vw7EmQyGf766y/8/fffKmZkgDydW5F22tXVhZ6eHpXnFS2U5s2bRyJuAoEAO3bs6JfuzuFwYG1tTcbr7OwEj8cjKcADoTiGLoyHjh8/Thxtv/32237p3qdPn8avv/6qEtk1NDSEh4cHXF1doa+vj+7ublRUVKCyslLl/TI3N8eKFStG3ErndpGfn4/3338fABAVFYVFixbByMhIJ26/6ujt7cX58+dx8uRJNDY2qjxnZGSEmJgYzJo1CzY2Njfl+NoiEAjw7LPPgqIomJiY4L777tN6Aaq7uxt//fUXKIqCm5sbScOnoaGhoaGhGRg6YnsHc+3aNQAja3/S1dVForEAMG3atH71bcprHrpMC+w76VuwYAFmzpwJKyurW2auExcXh8rKSpw9exZisRiff/45Nm3adFsNWsRiMT7++GO1ohaQR21vhbBlMpm4//77UV9fj9TUVJXnBALBgHXNgYGBWLp0qUoEq7u7Gx9++KFKVoCLiwvGjRsHe3v7fp+3TCZDXV0d8vLy+okcBRKJBBUVFfD29h7pSwQAtLa2ElHr7u6utoZ51qxZ8Pf3x3fffUfcjXt6epCXl9evD68CBoOBKVOm4PHHH79pYvBmomwMNWbMGK1bPw2FgYEBZs+ejZkzZyIrKwsnTpxAbm4uAPn19s8//+D48eOYOHEi5s6dC29vb3LddHZ2Yu/evbC2tsaDDz44rChyXV0dMjIyUFZWhpqaGvT29oLFYsHW1haenp7w8/NDcHDwkL99RkZGCAgIQE5ODrq6ulBXV6d1hLWoqIj8/vZ1FKehoaGhoaFRDy1s71A6OztJ7etI2p/k5eWRWkUvLy+1pi0sFgtMJhMymaxfZE4b+tahHTlyBEeOHAGHw4GDgwMcHBzg6OiocltXadAKGAwGnnjiCdTV1aGgoABtbW347LPPsH79ep20khkJtbW1ansQK0hPT8fChQtvybl0dnaShQ89PT3ExMSguroa5eXl5FowMjKCh4cHvLy8EBUVBUdHR5UxZDIZvvjiCyJq9fX1ERERMahBEJPJhIuLC5ydnVFaWoqMjAxynZqamqKzsxMAkJOTo9a5V1MoikJWVha5HxcXN+C2zs7OWLRoEYmacTgctYsPjo6OCAsLQ2xsLOzt7Ud0XqMB5WvQycnplh2XyWQiNDQUoaGhqKqqwsmTJ5GSkgKxWAyZTIbLly/j8uXLGDNmDObOnYtJkybht99+Q0pKCgB5TeqyZcuGPE5BQQEOHjxIxHNfWlpakJ+fj2PHjsHGxgazZ8/G7NmzB+03HBcXR9LlMzMzYW9vP+L+xB0dHcjPzwcg/w2+Hb2taWhoaGho7kRoYXuHohxVGW77E7FYTJxJWSyW2nYswL/OqDweDx0dHRCLxTpJ/1REyfoiFApRWVlJ2g8pY2xsTMRu3/9HWoPHZrPxyiuvYP369WhpaUFpaSm+//57vPDCC7elLYubmxvi4+ORkJCgVjhVVlaipaVFJSWToijk5+fjxo0bKC8vR1NTE6RSKQwMDEgf4wkTJgxbaJ05c4acQ3R0tIpgkEgkYDAYQ0bHzpw5Q8QDh8PBrFmzNG6HwmAw4OXlBXNzcyQkJEAikRBRC8gjwZmZmcOuK1dQXFxMvkOWlpaYMmXKoNsrxBMAvPDCC/D19UVDQwMkEgk4HA6cnJxue+soXaH829J3seJW4ebmhuXLl2PJkiVITEzEmTNnwOfzAQClpaXYvn07LCws0NHRQfY5deoUXFxcEBsbq3ZMoVCI33//HadOner3HIvFAofDgVQqVfnutbS04Ndff0VKSgpefPHFAcskwsLC4OnpibKyMnR0dCAzMxPh4eHDvjbFYjGSk5NJSvvMmTPpNj80NDQ0NDQaQgvbOxTlOsThis36+npSM+jh4TGo06u1tTUxMampqYGHh8cIzlYVZSfkuXPnAgAaGhpQX1+P5ubmfnWdgFzIlJSUENdWZSwsLNSKXjs7uyHfG3Nzc7z++ut49913IRQKkZycDHd3d8THx2v5KocPk8nEo48+ivvvvx/p6elITk5Gbm6uSkp4ZmYm5syZQ1yLjx07NmCUt6qqihg2BQcHY+HChRr1phWJRGTyz2Qy+70XmkSiWlpaSH02IE91H0mPT1tbW0yePJn0PgZA+syWlJTA0NAQwcHBwxIQlZWVSE9PJ/efeeaZQRdHent7yfZGRkYICQmBvr7+Hd17dTAU15OBgcFtF1UKg7j58+cjLS0NJ06cIAtf6kzI9uzZAwcHh351zQKBAJ988glJJwfkGQA+Pj5wdnaGqakpSTnu6elBc3MzSkpKUFtbC0Dee3fDhg1YvXq1Wi8Dhfnb2rVrIZFIUFxcDBaLhbCwMI3LOIRCIc6fP08W/uzt7bF48WKN9qWhoaGhoaGhhe0di7JgG277E+WI6VC1YFwuF8XFxQCAwsJCcLlcraKZnZ2dRNhaWFjgkUceUYn8SSQSNDc3E6Gr/P9Akd729na0t7eT9D0FDAYDNjY2cHR07JfabGNjQyacXC4XL7zwAr744gsA8vYuzs7OCAkJGfHr1AYDAwNERUUhKioKra2tOHXqFM6ePQsDAwNMmzYNjY2N2LlzJwoKCvrty2azwWKxSPqmguvXryM7Oxtz5szBkiVLBk23Pn/+PImOhoeHD+liDcgjx9XV1cjJyUFOTg5u3LhBju/t7a1V5I/L5aKiooJcN9OnT8e5c+cAyFOSeTweJk+ePGTEVCwW49q1aygsLCSPzZ49e8ieuFeuXCFRvPDw8NuWqn4rEIvFaGpqAiCP1t6OzAV16OnpISoqCtOmTSNpwgqPAWWkUim2bt2KDz74gFxzEokEn376KRG1LBYL48ePh6+vr1rRaWhoCDc3N7i5uaGlpQWpqang8/no7e3FJ598gg0bNqhd4HNxccEzzzyDHTt2AJCnPDc1NWHy5MmwtrYe8LVRFIWqqiqkp6eTMg1DQ0O88soro94RmoaGhoaGZjRBC9s7FOXWJMNtMaEc6Rgqjdne3h7m5ubg8/lobm5GWVnZiPvZUhSlEimLi4vrl87KZrOJEO0rOIRCIRobG9HQ0EAEr0L0KqckKh+vubkZzc3NpG+u8nHs7e2J0HV0dMS0adNw8eJFUBSF7du347333rulNYbqsLa2xiOPPIJHHnkEgDwN8+OPP1bp/2pvbw8vLy/Y2dnB2NgYDAYDMpkM7e3tqKurQ1FREbq7u0FRFE6cOIHS0lK8+eabaoWgVCrFsWPHyP2srCzs379fbeSIz+cTIZuTkzNgGx9tXYEZDAYCAgKIsK2rq8Pjjz+OvXv3ApDXJv/999/w8PCAp6cnrKysyMKP4n2orKxESUmJSn339OnT8dhjjw15fOVo8e1uC3WzaWxsJBkCt/vaVweDwYCfnx9aWlrUCltAHmFfu3Ytdu7cCX19fRw+fJgsAnE4HMTFxWlcvmFjY4N77rkHFy5cQG1tLYRCIb755ht88MEHahc4oqKiIJPJ8P3335Me4cePH4etrS3c3NxgbW0NIyMjUBSFjo4OtLa2oqysTOX7bGJigjfffBNcLnf4bxANDQ0NDc1/GFrY3qFYWFjAysoKPB4Pra2tw6p/VY7wDpaGDMgnkuPHjycRsoyMDFhbW48orTQ/P5/U75mbm2P27NnD2p/D4ZBISl+6u7tVorvKt9UZX0kkEtTW1pJUw74IBAKsW7cOcXFxcHNzI9He2+lyW1tbi48++oj0izU2NkZkZKTKIocCJpMJKysrWFlZwc/PD/n5+cjKyoJMJkNRURE+/fRTrF27tl9acXp6OonYAfK0zMOHDyM+Ph56enooKipCTk4OsrOz1dZC98XOzk4nxl82NjbEPKq0tBT/+9//YGtrix9++AHt7e2QSqUkVZ3BYMDQ0BAMBgM9PT0qkWtAbmK1ZMkSzJ49e8g0UYV4V5yDr6+v1q9lNDMa6ms14erVq4M+r6jXNzQ0xN9//w1A/lsWHR09bE8CNpuN6dOn4+TJk+DxeGQhZaA04RkzZsDV1RU7duwgvy+KBbahGD9+PJ555pnbngJOQ0NDQ0NzJ0IL2zuYoKAgnDt3btjtT5TTC/tO+tXh6upK0kHFYjHOnDmD6OhojftKUhSF3NxclQjL8uXLSf9SXWBsbIwxY8b0iyYrIiN905rr6+vR2Nio0p+0L729vfjnn39UHjM1NVXr2mxvbz+itMErV64gPz8fsbGxgwoJiUSCb775hohae3t7zJgxQ6O0WCaTCX9/fzg4OCAxMRFCoRAFBQX4+++/8cADD5DtKIrC4cOH++1PURQ2bdqE+vr6AXvMcjgcjBs3DoGBgdDT08Pu3bsBQGe9RxVp5Z2dnZBKpaiurkZYWBh8fX1x8OBBXLhwgSxgUBSltiURi8XChAkTsHjxYo1FW1paGvmOREZG6rTt1WhEWdiOxoitgsDAQFy5cgVSqRQMBgMGBgbk+ycSieDp6QkvLy989913pGbf399fo7R6dbBYLERGRuL48eOQyWQ4ffo0FixYMOB3fsyYMfjggw9w4cIFnDlzBtXV1UO+nlmzZiE0NHTUpH/T0NDQ0NDcadDC9g4mLi5OpdZQ0/YnylHH9vZ2jRxzw8PD0dHRAR6Ph97eXpw8eRJ+fn7w9/cfNOrb1taGjIwMlZ6k8+fPH7KuUVcwGAyYm5vD3NwcY8eOVXlOJpOhtbWVRHjr6urQ0NCA2tpatLS0qB2vs7MTnZ2dpO5YGSsrK7Wi187OTq3hUldXF7Zt2waxWIyEhAQsXboUsbGxaie2x48fJ21zzM3NER0dPWzTMGtra0RHR+PUqVNExE6aNIlEwC9fvoyqqiq1+6qLznp4eCAwMBCBgYHw8fEh55OQkEC2MTMzG9Y5DobyWIr0exMTEyxbtgyLFy/Gd999h0uXLgGQL3Sw2WyYmJjA3d0dY8aMweTJk4cdCfsvpSEDd46wjY2NxdSpU0FRFDgcjtrvjEAgIH2Y9fT0EBAQoNUxLS0t4eHhgdLSUggEAqSlpQ3aikdfXx9xcXGIjY1FdXU1SktLUVFRge7ubjCZTJibm8PDwwPe3t4jFtw0NDQ0NDQ0/0IL2zsYT09P+Pv7Izc3F93d3bhy5YpGLSaUU/Gam5s1EraKSVpSUhKam5tJFLagoABubm6wtbWFhYUFWCwWhEIhSdnrm34XFBSEhx56aGQvWMcwmUzY2trC1tYWgYGBKs/duHEDH330EYnW+fn5AZC7NytcovvC4/HA4/GQl5en9jh9XZu7u7tJxFgkEmH37t24evUqli9frpLqLRaLcfz4cQByoR4ZGTnitku2trYICAhATk4OpFIpjh8/jueffx4NDQ346quvBt3X0tISQUFBCAwMREBAgIrQpCgKRUVFSE1NxYULF1Reu65QHqtvpoGhoaHK4sH//ve/EdUoUhSFq1evgs1mw8rKirTF4nK5A7Z6uZtQOCIzGAy1Ke6jiaHKKPLz80mGgYeHh05alXl7e6O0tBSA3JBNkx6zDAZjwBIKGhoaGhoaGt1BC9s7nGeeeQZr1qyBUChEcXExDA0NERQUNKi4VZ6wlpSUwN/fX6P0N0Uv0hs3biAnJwcymQxSqRTl5eUkmjgYpqameP311++IVLuAgAAsW7YMP/74IwB539P169fDy8sLvb29xMSqb02vcq9VBTKZDI2NjWhsbMT169cHPW5WVhZWrVqFxx9/HFFRUQDkdc0Kcyw3Nzet03sDAgJQWFgIkUiEtLQ0PProo9i/f79KWyF1rFu3rl8Kb3V1NVJSUpCWlqa2hlBdSvBIUR5LXRq7It2TyWQO6fY9EBcvXiSutspp3pGRkSMa706CoigSsbWxsbnj3Z+Vf5N0JdKtra3BZrMhkUg0+s2joaGhoaGhuXXQwvYOx97eHk888QR27twJAMjOzkZra+ug7U/MzMxgb2+PxsZGdHZ2oqKiQuP+tEwmE0FBQeByuSgsLERpaemgdarKjB07Fg0NDXB1db0jxO3MmTNRVVWFxMREiMVifPbZZ9i0aROsrKzg7u4Od3f3fvt0dXX1M69S/K/syDsYAoEAO3bsQH5+Pp577jlkZWWR5zTpQzsUbDYbnp6eKCgogFgsRn5+vkbnVl5eDkdHRzQ3NyMtLQ0pKSlqawcVE38AA7ZoGgnKkfK+0S+JREJck52cnEYcnVM+X+V64jNnzoDBYGDu3Ll3bZ0tn88ndcqj2ThKUxoaGsjtkZjdqYPJZMLCwgItLS1obm6GRCLRqK8zDQ0NDQ0Nzc2H/ot8FzB9+nQIBAL8/PPPAFTbn4wZMwZWVlZk8qVof6KcxpeRkQEHBwcYGhpqfEwzMzNMnDgRwcHBOH36NKl51NPTg76+Pnp7e4lpi/JxMjIyYGVlhZCQEIwfPx7+/v6julfjsmXLUFtbi4KCArS3t+Ozzz7DunXrcObMGaSnp2PhwoUIDQ0l25uYmMDLywteXl4q41AUhfb2dhXRm5ycPGCLHADIzc0F8G/kSZHSrAvs7e1JC5QbN26QSLKpqSlWrFiB6upqEomvr6+HoaEh6urq8M4775B+oMooWvJERkYiLCwMr7zyCnp6etDQ0DAsx+6BEAgEpO7Zzs6unzt1fX09ud60SfkcqN9oc3Mzfv31V1haWt610ds7pb5WU5QX3HSRhqxAWcjSwpaGhoaGhmb0QP9FvkuYO3cu7Ozs8P3334PP5w+r/YlQKERiYiLi4uKGJTJlMhkyMjJU+uiKxWIyoWSxWP3ELSCPvJ09exZnz54Fm83GuHHjiNAdbXV9bDYbr776KtatW4eWlhaUlZVh9erVJLK3d+9eFWE7EAwGA5aWlrC0tMS4ceMAyNOO1QlbBoMBKysrPPfccyrpoebm5v36/o4U5Trr7OxskoY8Z84cYgjV09ODzMxMXLx4Ebm5uTh06FC/cby8vDBlyhSEh4erRMUmT56MpKQkiMVilJWVad0mp6ioiJyjOmGpbHqljbAdbOGAwWDAzs5uxGOPdhT1tcDdEbFVFrOaZpVogvJYtKiloaGhoaEZPdB/le8iwsLC4OPjg0OHDuH8+fMkvXSg9idMJhMURYGiKLS1teHEiROIjIzUyEyqq6sLaWlpKul+DAZDpU5TIWr19fXx3HPPoaOjA9euXUN+fj6ZHEokEuTk5CAnJwc///wzHBwcMH78eISEhGDs2LE6jbSMFDMzM6xatQobNmyASCRSSVdtampCW1vbiPpOKotUNpuNwMBAhIeHIzQ0lEQkJRIJeU91+V4oj6WojeVwOJgxYwYyMjKQlpaGK1euqBUEzs7OmDJlCiIiIga8VmbOnImkpCQAcgHv6uo6YGr8UPD5fGLIxWAwEBsb228bZWHr6uo6ouMAA0dsmUwmnn/++X6R+LuJuy1iq/waeDwezM3NtR5TkfECyLMeaGFLQ0NDQ0MzeqD/Kt9lmJqakvYnly9fRlFREcrLy8Hn80FRFIyNjcHlcuHm5oaMjAzi8AnIxerp06fh5uYGHx8f2Nvbq9QTKtJpFZFgRR0lg8FAVFQUXF1dScpoeXk5ampqQFEURCIRvv76azz//PNYs2YNent7kZubi6ysLGRlZakIxYaGBpw4cQInTpwAh8NBQEAAxo8fj+Dg4AFFx62gu7t7wGhpcXExJk2aNOwxn3/+eSQnJ8Pd3R2hoaFqhR+LxSILBjcr6qQQzra2tli9erXaRRAbGxtERERgypQpGtVIc7lcREZGIjU1FSKRCCkpKYiJiRl2xFkkEiE5OZksksyZM0ftdaCriK1yJFsBi8XCypUrMXHixBGPeydwtwlbZd+AhoYGjX0EBqOlpYVci7oYj4aGhoaGhkZ30ML2LsXQ0BAzZszAjBkz+j0nEomwZcsWImqNjIxgZ2eHiooKAHKRUFVVRYxSOBwOJBIJ+Hy+iqGOYt8pU6aQFGJjY2MYGxvD3d0dfD6fuOXKZDJ8++234HA4mDhxIsLCwhAWFgaKolBTU4Nr164hKysLRUVFJFVaKBTiypUruHLlCgDA3d0dwcHBGD9+PLy8vHSWljsUfD4fW7ZsGdBgaaTCdiADKmUYDAacnJxQW1tLUsx18brVtSxSmC8pMDU1RXh4OCIjI+Hj4zNs06Rly5YhNzcXfD4fDQ0NSEpKwtSpUzVOdxcIBDh37hw5V3t7eyxevFjttgoTKyMjI7XiVFPYbDb09fXJdc5ms/HGG28gODh4xGOOZtLS0rBv3z4YGBiQyD2bzUZzczMMDQ1Hdf37UIwbNw4GBgbo7e1FeXk5wsLCtHZ6LiwsJLdDQkK0PEMaGhoaGhoaXUIL2/8YEokEX3zxBTEmMjIywtq1a8HlcnH69GkcPnwYfD4fgDztbqCerSwWC15eXggJCRlwsmhubo5Zs2YhIyOD1Eju3LkTXl5eJHWXwWDA1dUVrq6uWLBgAbq6unDjxg1cu3YN169fJ21uAKCyshKVlZU4cuQIjI2NERwcjJCQEAQFBan0VNU1FEWprRVWkJ+ff9OODcgjQ7W1tZDJZGhubtZJHXJjY6Pax/X09IiYDQgI0CrV0tTUFK+99ho2bdoEiUSC+vp6HD16FGFhYeByuQMKZYlEgrKyMly9epVElk1MTPDGG2+o7V3a2dlJrlM3NzetHbdNTU3R2toKBoOBN998EwEBAVqNN5o5d+5cP+dqiUSCd955B8bGxti4ceMd27/XwMAA06ZNw5kzZyCVSpGdnY0JEyaMeLzW1lZUVlYCkF+PkydP1tWp0tDQ0NDQ0OgAWtj+h5BIJPjqq69I+xgOh4M333wTnp6eAORpnnFxccjIyMCVK1dQVlamUkPLZrPh4OAABwcHeHp6qhUZfWEymZg0aRKEQiEqKyshEAiwe/duvPHGG2q3V0wYJ0+eDJlMhrKyMpKyXFZWRrbr7u5GamoqUlNTwWAwMGbMGFKby+VyddpOyMLCAuvXr8fBgwfV9qEtLy+HSCRSK/ApikJPTw8kEgk4HI5G71lfQkJCkJycDEBuoqStsFUIR3WYmJjgxRdf1Gp8ZWpra0nKOgD09vYiJSUFV69ehaurK6ytrUlP2s7OTrS2tqKqqkolM8DKygpvvvnmgAJLueXQSNKQZTKZishet24d/vzzT8TExMDPz2/Y491JcLlc5OTkqH2uu7sbZWVld6ywBeSmeufOnSNtrZydnUdkjCUWi5GSkkLS9u+55547vs8vDQ0NDQ3N3QYtbP8jKFKBMzIyAMgNnd58881+fVHZbDYiIiIQERGBixcv4ttvvwUgr7GcPXv2iHp4MhgMhIeHo7GxEb29vbhy5Qqqq6uHNPlhMpmkdc4DDzwAPp9PRG52djbpuUlRFKn7/fPPP2FhYYGQkBCEhIQgICBgxKZFynh5eeGtt95CTU0Njh8/josXL5IoLkVRqKioIO9lZ2cnLly4gBs3bqC8vFwl6mxjYwMPDw+EhYVh8uTJGk2OJ06cCDMzM3R0dKCqqgotLS2wsbEZ8WvJzc3tl1KuYOzYsSMety9FRUXYvXs3ue/h4UFaF/X09KhtG9SXadOm4bHHHuvX3keZ4dTXikQipKenIzs7G+Xl5WhoaIBUKgWbzYaTkxM8PDwwfvx4vPDCC7cs1f12MmnSJBw9elTtc3Z2dnd8XbGDgwMefPBB7Nu3DwBw/vx5REdHa2SQp0AkEiEpKYlksnC5XMybN++mnC8NDQ0NDQ3NyGFQyja2NHclMpkMu3btwoULFwDIxeuqVasQFBQ06H4bN25EcXExAGDWrFnDmgyqIz8/H5mZmQDkrrlPPvnkiMeSSCQoLi4mtbl960MVsFgsjB07lghdJycnnURz+Xw+fv/9d6SkpMDc3Byff/45RCIR/vjjDxIhGgoTExPMmzcP8fHxQ4qoI0eO4PfffwcgT/GeO3fuiFySW1pacPLkSaj72k+YMAErV67UidMrj8fDunXriIPs7Nmz8fjjjyMvLw9nzpxBZmZmv7ZTfXnhhRcwbdq0IY+1a9cunDt3DgDw7rvvwtvbu982EokE//zzD06cOIHOzs4hx7SyssK8efMwa9asES3m3ClQFIWXX365X8kBk8nEhg0b+i183YnIZDJ8+umnJFOFwWAgMDAQAQEBQ37v6uvrkZaWhu7ubgByD4F33nkHzs7ON/u0aWhoaGhoaIYJLWzvciiKwo8//oiEhAQAcqH36quvIiwsbND9Ojs78dxzzwGQC6n58+drLQhFIhEOHDgAqVQKGxsbbNu2TavxlGlubibR3MEikra2tiRl2c/Pb8CIaUlJCQoKChAVFaVR/W5eXh6++eabfgKBw+HAwsICbDYbIpEIbW1tKqm5gDySuWLFikFTJKVSKTZs2EAinnZ2doiOjh5WOmRraysSExMhFAoH3GbChAl4+OGHtepjKhKJ8N5775F0Zz8/P6xZs0ZFMAsEApSXl6OiogKdnZ1gMBgwMzNDS0sLTpw4AQBYsGABHnrooSGPt379emKEtnv37n6GR1VVVfj2229JfaQCJpMJMzMz6OnpQSQSoaOjo5/g9/HxwQsvvKD1os5o5qeffsKpU6dUHrv//vtx//3336Yz0j1CoRCff/45srOzyWOGhobw8vKCk5MTrKyswGazQVEUOjo60NzcjJKSEmKoBcgXotasWUNKN2hoaGhoaGhGF7SwvYuhKAq//PILEQoMBgMrV65EeHj4kPvm5ORg8+bNAOTpqbpKSTx16hSampoAADt37oSpqemA597S0gJTU9NhO7OKRCLk5eUhKysL165dU5mcKqOvrw9/f38SzbW1tQUgF10rV66EQCCAnZ0d3n777UGFTUZGBrZt20ZSk9lsNry8vODt7Q1zc3OVBQGZTIaWlhYUFRWhoqKCCClTU1OsXbt2UJfk2tpavPPOOyR6ZGJigoiIiCFrbmUyGfLz85GVldUvSmpgYABzc3MVMykWi4XY2FgsWrRo2KZcCoMwRXaAjY0NNm3apPE4fD4fL774IiiKgr29PT777LNBF1RkMhmefvppCIVC2NnZ4YsvvlB5vrCwEJ988glJW2cwGHB3d4e3tzdsbW1VInYSiQRNTU0oLCxUyQAwNzfH2rVrteqPO5rJz8/H+++/T+57eXlh48aNd10qtkQiwd9//43Dhw+rNYNjs9mQyWRqMwn8/PywfPly2NnZ3YpTpaGhoaGhoRkBtLC9i/njjz9w+PBhAPIJ/QsvvICpU6dqtO+pU6fw008/AQAiIiLg5eWlk3NKT08nLTM2bNjQr6azqakJycnJSElJQX19Pezs7LB169YRT7IpikJdXR2J5hYUFAzocOzi4oKQkBBwOBwcPHiQPG5hYYE1a9aord8sLCzEpk2byJgODg6IiIgYtCZUQUtLC1JTU0ntnpmZGT788EO17WooikJlZSWOHz+uYmIDyNvgeHl5wdbWFiYmJmAwGJDJZGhvb0ddXR2KioqIGFZs39zcDEtLS7z33nswNzfHhQsXsH//fpI6DMgjWvfeey/mzJmjcWT4xIkT+PnnnwHIo9XvvPPOkC2N+rJp0ybk5eUBAD788ENwudx+24hEIrS3t0MsFmP16tUA5LXIr732GtmmtrYWGzZsIKLWwsICU6ZM0agdUGNjI9LS0kjasoWFBTZt2qRVK6HRikwmw7JlyyCVSsFgMPDZZ5/d1RHqyspK/PXXXxqlw7u6umLu3LmI+j/27jssqmvrA/BvZhhg6B1EeleaihVsCPaSaHqMMcbEmJ7cFI2JLdFoiklMNaYaTUyixhYLKmJBrKCCIL33Xgemnu+P+dhhpAjMgKDrfZ48d9rZZw8M3llnr73W+PF3dUo6IYQQcjegwPYutXfvXuzatYvdf/bZZxEaGtrp4w8ePIidO3cCACZMmNCtarNtuXr1Km7cuAEAeOedd+Dv74+6ujqcO3cOFy9eVOsT2Wzz5s1sNVVTYrEYN27cYIFuy0CuIwYGBq2KbUkkEixfvpytdrq5uWHMmDFd+gIslUoRGRmJ8vJyAKoKyG+99RZbpSwpKWHVnwsKCm47no6ODgQCAWQyWZtf2ocOHYqXXnoJIpGo1XNNTU04fPgwDh48qJaubGVlhYcffhjBwcEdvrcbN25g48aN7LyvvPJKt1qiHD9+HL/88gsAVbAqFApRWVmJ+fPnw93dHQ0NDVi2bBkqKyshEAjYRYWAgADMnj0bgwYNAsdxWL16NUuHHjBgACZOnNil/cMSiQSRkZGsHc6tv5u7ybFjx3D48GHMmjUL4eHhd3o6vaKyshJxcXHIzMxEfn4+GhsboaOjA2tra7i6umLw4MHw8vK6K3/fhBBCyN2IAtu70KFDh/D777+z+wsXLsTUqVO7NMbRo0fx22+/AQCCg4Ph7u6ulbldvnwZycnJAFQrtjKZDBs3bmyzmFGzFStWwNbWFubm5lopbNRMqVQiJyeHpSxnZGR0OA+BQIDFixdj4sSJAIA///wTBw4cAKDau9vdQkMSiQQHDx5kK4uLFy+GTCZDTEwM0tPT25yHn58fzM3NkZKSgqKioi6dz8LCAnPmzEF4eHib862qqsLu3btx6tQptZ+Hq6sr5s+f32YLnJKSEqxcuRL19fUAOr8/9lZSqRQxMTHYunVrq+eCg4Px0ksvoaCggK3StmXIkCHw9/dnK8cmJiaYMWNGt4pt3fq7eemllxAcHNzlcfoijuMgkUigVCqhp6d316UeE0IIIeTeQoHtXablahcAPP74491qTXHt2jV8/PHHAIBBgwZh+PDhWpnfsWPH2Arnd999hwMHDrA9wLfD4/Fgbm4OS0tLWFpawsrKqtXt5lTc7qitrcWJEyewe/fuDl/38ccfw9raGi+99BIaGhrA5/Mxa9YsmJqaduu8gKoXa3NlXx6P12aA7ePjg+DgYIwcOZLtWU1JScGXX36JqqqqVq/X1dWFrq4ueDwe6uvrW405aNAgPP/88+22DsrLy8Mff/zRqndvUFAQHn30UVYZtqmpCatXr2b9ZIcOHYo33nijy0F+bW0tVq5c2e6e6EmTJuGZZ56BUqnECy+8oNZGqSVLS0vweDy2Cj5t2jSNVvxb/m7c3Nywbt26bo91p5WVleH06dNITk5GdnY2xGIxAFUhLQcHB7i5uSEkJASDBw+mlUpCCCGE9CvUx/YucurUKbWg9sEHH+x2v0VXV1d2u2VhIU3IZDKW1mlhYQFTU1M8+OCDSEhIaLddT0scx6GyshKVlZWsDdGt9PT0YGFhwQJdKysrtfuWlpbt7hc1MTHp1Jd5qVSKixcvsn2rLi4uGgW1gGp/r5mZGaqrq9UCUGdnZwQHB2PMmDGtAtBr167h888/Z62FBAIB3Nzc4OnpCXNzc7XAUqFQoKSkRK0w0s2bN7FmzRq8++67bVZBdnR0xLJly5CQkIA//viDVRWOjY3F1atXERYWhrlz5+LXX39lQe2AAQPw4osvdmvluri4uN2gFlClg3/00UewtLSEl5cXax11q1GjRuHw4cMAgIEDB2qcxu7g4AALCwtUVlYiMzMTmZmZ/a4ybllZGXbs2IErV660edFEqVQiNzcXubm5OHXqFOzt7fHoo49q7YIWIYQQQkhPo8C2n8rPz0d0dDSCg4Ph5OSEc+fO4YcffmDPz5kzB3Pnzu32+KampnBxcUF2djYqKytRUVEBS0tLjeacnZ3NWt0099AViUT4+OOPcfnyZfzyyy+t9rw6OjrCz88P5eXlqKioQHl5ebsrdYAqdbSoqKjD9FwTE5NWK77N91sWWWpmZmaGAQMGQCQSYfTo0XBzc8Px48fZ89oorMXj8eDh4cGCtcDAQMyfPx8ODg5tvj49PV0tqLW2tkZwcHC71YcFAgHs7e1hb2+v1puzsrISH374IdavX9/usf7+/li/fj2io6Px999/o7KyEkqlEsePH0dUVBT7nYpEIrzxxhswMDDo1s/A09MTI0aMwOXLl9t8vqCggK0et3cBYuLEiWqBmzZ/N5cuXQIAJCYm9qvA9tSpU/jtt9/Q1NSk9rhIJIKJiQn4fD4aGxtRU1PDfnaFhYX47LPPEBwcjKeffrrbv1NCCCGEkN5CgW0/xHEcvvjiCxQWFiIiIgKzZs3C3r172ZfSadOm4ZFHHtE4lTA8PBw//vgjALAVuu6OKZPJkJCQoDZ2SyNGjMCgQYOwY8cO1ioGAPz8/LBgwQK110qlUhZsNwe8t97uqFdrbW0tamtrWU/YW/F4PBgYGMDS0hIDBgyAnZ2dWhDc3IO1+bWaBvzNWq4sGhgYwNDQsFWKMY/Hg1Qqxddff82CWmdnZ4wdO7bTq6QDBgzAjBkzcOLECVRVVaGiogJbt27FkiVLWr225e976NCh8PX1xYkTJ3D06FFIJBK1nrwhISEwMjJi+2xvPb69cVtavHgx5HI5rl692uq5lgFrW6uOjo6OWLhwIT766CP2mLbas7Qcp7kgVX/wzz//qKXWi0QieHl5wd3dHYaGhmqvlcvlKCgoQHJyMmvJFRMTg+LiYixfvrxTlb4JIYQQQu4U2mPbD+Xm5mL58uVtPhcWFoann35aK/vjmpqa8Oabb6KyshIAMHLkSHh7e3d5HI7jcOHCBVYIydfXF++++267r79+/Tq2bduG+vp6rFixos12L7c7X0NDg9oqb3PA23y/qqqqw0JRnWVsbIz7779f43EAVfD/559/dukYS0tLTJs2rVupv2KxGAcPHoRUKu3ysX1RWFgYFi9ejJdeegmVlZXQ19fHQw89pJWxlUol/vjjD3AcB1dXV6xfv14r4/akW/fbe3h4ICgo6LatmziOQ1ZWFi5fvsw+G97e3njvvfeowBQhhBBC+ixase2H2kvVHDx4MBYtWqS1oi/6+vp45plnWBGpy5cvQ1dXV23/7e1wHIdr166xoFZPTw/PPPNMh8cEBgbis88+g0Kh6NYXaR6PByMjIxgZGbUbFMvlclRXV7cZ9Db/b3NhnY5os7dlV98rn89HSEhIt+dgYGCAkSNHIjo6ulvH9zU3b94EANb+R5tBGJ/PB5/Ph0KhaLcPcl9SVFSEHTt2sPtBQUFtVrNuC4/Hg5ubGywsLHD8+HE0NTUhJSUF//77L+67776emjIhhBBCiEYosO2H2iuak5ycjLi4OK0WfBkyZAimT5+OI0eOgOM4REdHo7S0FMOGDbtt+xSxWIwLFy6o9V9dtGgRbG1tO3Xunlwd0tHRgZWVVbsVgQGgsbGxzTTniooKJCcnQ6lUQiKRgOM4ra2QNzM2Noanp2eroLW8vBzZ2dkAVCnImhatcnFxQXx8PNu3PGjQIOjr67f7eo7jkJGRgbq6OgCqix+enp5oaGhAUVERa4vTzNLSEra2tuyzUlNTg/LyclhZWant6W2voFF6ejokEgnbC9pe32FDQ0M8/fTTAFQXTwBVyrq2fjcymYwFtM3j92U///wzS1X39vbudFDbkpmZGSZOnIiIiAhwHIc9e/Zg9OjRnf77JYQQQgjpTRTY9jNlZWWsOu2tlEol9u7dq/VKpvPnz0dTUxOioqIAAKmpqcjJyYGHhwecnZ1hZmbGglCZTMaqx2ZlZamtbi1cuBDjx4/X6tx6kkgkgoODQ5sFnD788EPcuHEDTU1NaGxs1EpxneaUbwCoq6tDXFwcjI2N1QpdtQzsPD09NT5nc2GkuLg4AMCYMWNa7X9uaefOnbh27RoAwMjICOvXr2d7g5VKJc6dO4e//vqLvZeKigo0NDRg9uzZGDNmDJYvXw6pVAqpVIqXXnoJ9vb2t52jXC6Hjo4Ovv3221ary46Ojnj44YcxbNgwFsAOHDgQpaWlkMlkqK+vh7GxcZd/Lrdqude5vYJefUVOTg4SExMBqH5HQ4cO7fZY1tbWGDRoEJKSkiCXy3HixAnMnz9fW1MlhBBCCNEaCmzvEI7jkJaWhtTUVGRlZaG6uhpKpRKGhoZwcnKCu7s7/P39W+2HO3HiRIfjjhkzRutz5fP5eOaZZ+Dk5IQ///wTEokEEokEiYmJSExMBJ/Ph76+PjiOa7ViB6hWfp555hkMGzZM63O7U9zc3HDjxg0AqgrVXl5eGo/ZcmW7WV1dHerq6tgqbbOeKlrVXkEtQFVI6ODBgwBUn4lXX31V7Vg+n49x48Zh1KhROHLkCA4cOIDGxkY0NTVh165d2L9/P9uzKZVK8d1332HNmjUdrszL5XJcunQJJ0+eRHJycqvn8/LysG3bNqSmpiIsLAw2NjZwc3NjxacKCwu7tS/8VoWFhex2V1Lx74STJ0+y24MHD75tZsXt+Pr6sgyF06dP45FHHoGODv1fByGEEEL6Fvp20ssUCgWioqIQERHRZiADgK2eGRkZITQ0FDNnzmRpmxcuXGj1+uZep8HBwVoLdm7F4/EwdepUDBkyBLt27cLFixfZaqxSqWxzP6pIJMKECRMwb968u66i6siRI3HgwAEAqhVsT09PjVJepVIpq7YrEAgQFBSE6upqVFRUoLKyslWqrrGxsdaCCzMzM3a7uRrurbKzs7F161Z2f8GCBfD19W3ztbq6urjvvvswceJE/PPPP4iMjIRSqWxVpCojIwMHDx5st/jW1atX8dNPP6mtZLelvLwcBw8exL///ovQ0FCMHz8ee/bsAQCkpKTAy8tLo9+NQqFge8T5fL5GK6C9ISkpCYBqrtoIwvX19eHo6IicnBzU19cjNze3X7U7IoQQQsi9gQLbXlRQUIAtW7YgIyOjU6+vr6/HwYMHcfr0aSxevBgjRoyAv78/Tp48CV1dXUyePBkTJkzo1dRIW1tbvPTSS1iwYAEuXLiAjIwMZGdno76+Hnw+H6ampnB1dYWXlxdGjhzZ4X7N/szNzQ3u7u7IyMhAVVUV0tLSNFq1vXr1KmudM2HCBLUCWwqFghW6WrduXbeLarWn5VhtFUaqqanBZ599xgLTCRMmYMqUKbcd19TUFIsWLcKUKVPwwQcftNl/ePfu3RgyZIhakS+5XI5ffvmFpb43MzIygpWVFUxNTVnv1crKSpSXl0OpVILjOJw8eRLx8fFwcnJCbm4uampqNP7dJCYmskyEoKCgHrt4pA1NTU1sddnMzOy2FZA7y9ramm2ByMrKosCWEEIIIX0OBba9JD4+Hp9//rlaf1UbGxu4urrC2toaxsbG4PF4EIvFqKysRG5uLnJzc6FUKlFbW4vPP/8c999/PxYvXoyFCxdCR0dHa9WPu8PU1BRTp069Y+fvCx566CFs3LgRABAbGwtra2uYm5t3eZy8vDykpqYCUBUmmjNnjtrzAoGA9dAViUSor6/vsE9vV7Uc69bCSHK5HJs3b0Z5eTkAVcuYrraTqqysbDOoBVSr/R9++CG+/vpr6OrqsvPFxsay1wwYMAD+/v6wsbFp87yNjY1IT0/HjRs3IJfLUV5erhbQxcbGwsbGRm1lurPKysoQHx8PQLUCqq3WTj2loqKCre535/22p2WRsrKyMq2NSwghhBCiLdrrVULadfPmTWzatIkFECYmJpg6dSqmTp0KLy8vmJubQ0dHBwKBAMbGxnB2dsa4ceMwd+5ctdXYffv2Ye/evRAKhXc0qCUqAQEBmDhxIgCwwjoVFRVdGiMnJwdnzpxh9x999FHY2Ni0+/rmz4NYLFaroqyJlqm+jo6Oas9t376d7W01MzPD66+/3uU9m81teNpTX1+Po0ePAlAVp2oOagUCAcaMGYOwsDDY2tq2+5kXiUTw9/fH7Nmz2Z5fqVTKUrWbfzctC0B1RmlpKU6ePMkCxTlz5vT5/bUtV9x7qhVVf2h3RAghhJB7DwW2PayhoQFff/01a73h5OSEmTNndhi8NDMwMMDEiRPVqhzv2bOnzSI65M5YsGABS8tsamrCkSNHcP36dfb7bk9jYyPOnTuHM2fOQKlUAgCCg4MxefLkDo9rmQLasqCRJlqOk5WVhT///JNVwT5+/DgAVXuk119/vVsr0hMmTIC/vz9sbW1hZmYGkUikFqTy+XwEBATg5s2bOHLkCHssNDQUHh4enb6IY2RkhPDwcNaORi6XQyQSAVD9vA8fPowbN27cNjCTyWSIi4vDsWPHWPq1r68v5s2b1+X33ttapv731Kr+3bq9gBBCCCH9G49rq4Ek0ZqtW7fi1KlTAAA7OzuEhYV1ayUlISGBtVmxtbXFRx99pLX9c0Qz9fX1+OSTT5CWlsYeEwqFcHFxgY2NDVuRl0qlqKysRFFREfLy8lhACwBjx47FkiVLblsQKiUlBWvXrgUAWFlZYdq0aRqt3stkMuzZswcymQwCgYAFfXZ2digtLWVzXLJkCVud1gaO4yCTySCRSCASiSAQCLB8+XLk5eUBUO1l7U7vVUB1geHgwYNsRdvOzg7FxcXseT09Pbi7u8PW1pb9bprbVBUXFyMzM1PtwoSvry/eeOONfhHQKZVKPPPMM2hqaoKhoaHWgvGrV6+yKuCvvfYaRo4cqZVxCSGEEEK0hfbY9qCKigqcPn0agCrQCQ4O7nZ6oK+vLwoKClBWVoaSkhKcP38eEyZM0OZ0STcZGRlh5cqV2LdvH/bv3w+FQgGZTIa0tDS1YLctBgYGeOKJJzBhwoROBaheXl6sMFJ5eTmys7M1So+9evUqC+JMTU1ZWnLLQHDq1KlaDWoBVZVtXV1ddnHm5s2bLKi1sLCAj49Pt8fW19fH8OHDWc9bOzs7BAUF4fDhw+A4DhKJBElJSax6cHsEAgHmzZuH2bNn95v2Nnw+Hy4uLkhOTkZDQwOqq6s13mvLcVy/andECCGEkHsTpSL3oMjISLY/b9CgQTA0NOz2WHw+H0FBQex+c4oo6Rt0dHTw4IMPYsOGDQgNDW1VhOlWJiYmmDNnDj755BNMnDix06uuPB4PDzzwALt/6dIl1NXVdWvOBQUFSElJAaC68NJWD2JAlSHQ04kdzReAAFXvVU33hzo7O8PAwAAAcP36dcyaNQsffPABgoODb1tRWigUYuLEidiwYQPmzp3bb4LaZi1XU5t/v5ooLy9nFzyai90RQgghhPQ1/esbWz/TXASHx+PB09NT4/GsrKxgYWGByspKZGZmoqqqqlt7HknPcXBwwLPPPov58+cjLS0NWVlZKC4uhlwuh66uLhwcHODq6goPD48uF2FqNmLECIwePRoXLlyAVCrFsWPHEBYW1qWVufz8fLWiVdOnT2d9eW/122+/wcjICGPHju3WfDujeWWbz+fDyclJ4/GaVy6TkpLAcRwyMjIwbNgw1qoqKSkJmZmZKC4uhkwmg66uLuzt7eHm5obBgwf3677L48aNw19//QWJRIK0tDR4enrCwsKiW2MplUpcvnyZ3b/dHnBCCCGEkDuFAtseIpVKUVBQAEBVTbZ59UgTPB4PdnZ2bPUkKyuLAts+ysDAAIGBgQgMDOyR8Z9++mkUFBQgLy8PYrEYhw8fxpAhQ+Dt7d3hiqREIsG1a9dYeyFAtcLXXHCpPV2t9twVTU1NLPXZ3Nxcaz16W/abzcrKwrBhwwCoUq7HjBmDMWPGaOU8fY2hoSFmzJiBvXv3guM4nDt3DlOnTu3Wnvz4+Hj2ux8wYACCg4O1PV1CCCGEEK2gVOQeUlRUxArvaDP4bLnykp+fr7VxSf9iZGSEFStWwNnZGYCqBUtsbCz27NmD2NhY5OXloa6uDo2NjaipqUFWVhZiYmKwZ8+eVkHtSy+9hCtXrrR5HpFIhNmzZ2PmzJk99l7q6upYqrM2V0qNjY3Z7fb66N6t5s6dy1o3VVdXIzIyst1U87ZwHIf4+HgkJCQAUF1Ue+6556hgHSGEEEL6LFqx7SEt22No88tgy7GaW5GQe5OpqSnWrFmDv/76CxEREV0qjKSrq4vHH38c4eHh4PP5asEuoFrtnDZtGkJDQ7WSbdCRlvt3e6o/871W/F1HRwevvPIKVq5ciaamJpSXl+PgwYMYMWIEnJ2dO9zDXFNTgwsXLqC0tJQ99vjjj8PLy6s3pk4IIYQQ0i0U2PaQlgVn5HK51sZt2YOzvxW1Idqnp6eHJ598EsHBwThw4ABiY2M7FcRxHIfs7GxUVVXB0tISPj4+iI2NhaGhIZ588kmMGTOm1z5fzW15AFXfZ21pOVbL1dt7RWVlpdoFNolEgujoaFy9ehXu7u6wsrKCiYkJeDweGhsbUVlZidzcXLWK2IAqqO3JFXtCCCGEEG2gyKiHtNyzWF1drbVxq6qq2G07OzutjUv6t8rKSqSmprYZ1IpEIgCqALL5eZlMhlOnTuHixYtYsGAB/ve//7EiSj2turoaSUlJSExMRGJiotrKYGVlJZRKpcZVkQH1fcEuLi4aj9efFBYWYvPmzez37eDgwLYuNDQ0ID4+/rZjWFtbY8mSJfD19e3RuRJCCCGEaAMFtj3E0NAQtra2KCkpQVVVFWQyWber4LbUMgigfpIEAA4ePIidO3ey+wKBAG5ubnB1dYWFhQX73MnlclRVVSE7OxsZGRmQyWRobGzE1q1bUVBQgMcff7xH5ldXV4ebN28iMTERSUlJrKhaWxQKBfLz8zWujMxxHHJycth9Nzc3jcbrT+rr67Fp0yaIxWIAwLBhw/D6668jISEBERERuH79eofH29raIiwsDOHh4dDX1++NKRNCCCGEaIwC2x7k5+eHkpISKBQKZGZmwtvbW6PxamtrWZqgtbU1bGxstDFN0o8dP35cLah1cHDA6NGj2SptSzo6OrC2toa1tTUCAgJw5coVZGZmAgAOHToEfX19tR653SUWi5GcnMwC2dzc3HbTo3V0dODl5QULCwtER0cDAG7evAlHR0eN9tvm5+ez/r6+vr5qFZLvZgqFAl9++SWKiooAAI6OjnjxxRchEAgwZMgQDBkyBOXl5UhNTUVWVhYqKyvBcRxEIhGcnZ3h5uYGNzc3rayYE0IIIYT0Jgpse1B4eDgiIyMBAImJiXBzc9No1bblSkt4eHiPFdoh/UN+fj62b9/O7g8ZMgR+fn6d+lzo6ekhJCQENjY2uHDhAgDgn3/+gZ+fX5cvwEgkEqSmprJANjMzk1UEvxWfz4e7uzt8fX3h6+sLT09P6OrqQqlUIi0tDSUlJSgtLUVGRgY8PDy6NI9mMpnsnu29umPHDty4cQOAal/xG2+80eoih5WVFaysrKh1DyGEEELuKhTY9iBnZ2f4+/sjISEBDQ0NuHLlSrd7Z+bk5CA7OxuAKs154sSJ2pso6Xc4jsPWrVtZYTIfHx/4+/t3eRxPT080NTXh2rVr4DgO33//PT7++OMOC0fJZDKkp6ezQDYtLU2tqFlLPB4Pzs7O8PX1xeDBg+Hj49PmajKfz8cTTzyBTZs2AQAuX74Mc3PzLq+0KpVKxMTEsMJRgwcPxvDhw7s0Rn8VGRmJiIgIAKp09Ndff52yOgghhBByz6DAtoc9/fTTWL58OSQSCdLT02FgYICAgIAurbYWFRXh3Llz7P7ChQvvySqv5D83b95Eeno6AMDExARDhw7t9li+vr7Iz89HeXk5iouLceXKFYwePZo9r1AokJWVxYo9paamdthqysHBgQWygwYN6lRvWolEgrNnz7L7crkcx48fx9ixY+Hg4NCp99HU1ISYmBi1PbyTJ0++J9JqExMT8euvv7L7Tz/9NHx8fO7chAghhBBCehkFtj3M1tYWTz31FL7//nsAQHx8PKqrqzFy5Mg2V65aUiqVuHHjBuLj49kexTFjxiAkJKTH5036thMnTrDbAQEBGrXm4fP5GDJkCBvz2LFjsLOzYyuyycnJaGxsbPd4W1tbFsgOHjwYZmZmXTp/VVUVNm3axPb7NpPJZIiKioKrqyv8/f1hamra5vFyuRxZWVm4du2aWusgANiyZQsMDAy6tZrdX5SUlGDz5s1s1Xz69OkIDQ29w7MihBBCCOldPK4zTS+Jxg4fPowdO3aw+0KhEO7u7nBzc4O5uTlbVeI4DvX19cjNzUVqairq6+vZMUFBQXjllVe0Ul2Z9ByO41BaWoqcnByIxWLw+XyYm5vD1dW1U6uXnRn/2WefhVgshp6eHh544AEIBAKNx9y/fz8ruNQRCwsL+Pn5sUDWysqq2+fNycnBJ598gsrKSgCq1kTPPfcczpw5g7i4OLXXNu8NNTU1hUAgYL1Xi4qK1FaQDQ0NYW1tzVL3dXR08Morr9yVKclisRirV69mq9SBgYF48803Nf48EEIIIYT0NxTY9qJLly7hp59+ahU88Pl8GBsbg8fjQSwWt0rz5PP5mDNnDubNm6fRyhzpWfn5+Th+/DjOnz+vdkGipYEDByI0NBTjx4/vdpBbXFyM//3vfwBUab/aWp07f/48S29uycTEhK3I+vr6wtbWViuFy2JjY/H1119DIpEAUAWub731FhwdHcFxHE6fPo0dO3awtjWdMXz4cDz99NMwMDDA119/jStXrgBQ/Q0tXboUY8eO1XjefYVSqcSnn36Ka9euAQDs7e3x/vvvw8DA4M5OjBBCCCHkDqDAtpfV1tbir7/+QnR0NGQy2W1f7+fnh0cfffSe6sPZ39TX12PHjh04c+ZMp48RiUR47LHHEBYW1uUg8erVq/jkk08AAP7+/hgyZEiXjm9PcnIyqybs4uKCCRMmwNfXFwMHDtRqBW6O43DkyBH8/vvvLMXew8MD//vf/1qlMdfX1+Ps2bM4efJku/1v9fT0MGrUKISHh6tVUlYoFPj+++9ZGyEej4dFixYhPDxca+/lTvr9999x6NAhAKpV6g8++AB2dnZ3eFaEEEIIIXcGBbZ3SH19PWJiYlg/yerqaiiVShgYGLB+ksHBwbC3t7/TUyUdyMjIwGeffYaqqir2mEAggJ2dHSwtLSESicBxHGpra1FeXo7y8nK14wMCAvDKK690apWtsbERdXV1yMnJweeffw4AGDZsGHx9fbX2XmJiYgCoig/1RAAol8uxbds21gYLAEaPHo2lS5dCV1e3w2Nra2uRlZWFiooKKJVK1nvV3t6+3QJRSqUSv/76q9qe5EcffRRz5szRzhu6Q06dOoWtW7cCUH3eli9frrXPASGEEEJIf0R5rXeIkZERpkyZgilTptzpqZBuSk9Px4cffsgKFgmFQgQEBMDDw6PdIK2mpgaJiYnIyMgAoComtnHjRrzzzjsdFhNLSEjA5s2bIRaLcd9997HHO6pO3FUtx+qJfdwNDQ348ssvkZCQwB67//778eCDD3aqcrGJiQkCAwO7dE4+n49FixZBJBLh4MGDAIA///wTjY2NePjhh/tlL+jk5GT89NNP7P7ChQspqCWEEELIPe/u74NBSA+oqanBJ598woJaGxsbzJ49G4MHD+5w5dHU1BTBwcEICwtjr0tPT8f333+P9pInTp8+jY8//pjtNU1JSWHPtVwp1lTLsbSdKVBSUoI1a9awoFZHRwfPP/88Hn744R5vx8Pj8fDYY4/hkUceYY/t378f27Ztg1Kp7NFza1tZWRm++OILVgF58uTJd01qNSGEEEKIJiiwJaSLOI7Dzz//zIqA2draIiwsDIaGhp0ew97eHlOmTGHB7aVLl3DhwoVW59m9eze+//57FsgAqhW7ZmVlZZDL5Zq8HXau4uJiAKpVTmdnZ43HbJaSkoJVq1axPbJGRkZYsWIFxo0bp7VzdMZ9992Hp556it0/duxYq59tX9bU1IRPP/0UtbW1AFT9hxcsWHCHZ0UIIYQQ0jdQYEtIF7UssqSnp4dx48Z1q1q1ubk5Ro0axe7v2LGDBakymQwfffQR/vnnnw7HkEqlyMnJ6fK5b1VYWIiGhgYAqoDpdvtdOys6Ohrr169nFwHs7e3xwQcfwMfHRyvjd9WUKVOwdOlSloJ89uxZfPnll50q5HYnKZVKfPPNN8jLywOgupjy6quvUpV0QgghhJD/R4EtIV107NgxdjsoKKjDvbG34+LigoEDBwJQpQLHxsYCAFauXIn4+Ph2j2t5zvj4eI0CM6VSyVrGANBKamvzavO3337LgnVfX1+sXbsWtra2Go+vifHjx+O1115jQeHly5fx6aefsrTyvujvv/9mnw0DAwO8+eabWumJTAghhBByt6DAlpAuEIvFrDeqvr4+XFxcNB5z0KBB7HZzy6CysrIOj3F1dWXH1dfX48qVK+3u0b2d69evo7KyEgDg6OiIYcOGdWucZlKpFF9//bXaavOkSZOwbNmyLqVr96QRI0bgzTffZCvTCQkJ2LhxY5d65vaW6OhoHDhwAIBqv/Arr7zCLoYQQgghhBAVCmwJ6YKsrCy2J9PJyQkCgUDjMe3s7KCnpwdAVUiK4zi88sorcHJygomJSZvHlJSU4Nlnn1UrQHX16tUuBbccxyEpKQk3btwAoNpb+9xzz2n0nmpqarB+/XqcP38egCoQmz9/PhYvXtzn0mYDAgLUqlGnpqZi3bp1bA9rX5Ceno4ffviB3V+wYAECAgLu4IwIIYQQQvqmvvVNk5A+Ljs7m922tLTUypg8Hg+WlpYoLCxEXV0dKisrERgYyFrb1NfXIyMjA+np6UhPT0dZWRkmT54MOzs7PP3009iyZQsAIDExERUVFRgzZsxt01QbGxtx8eJFtmcTUPV3dXNz6/S8CwoKoKOjw1KL8/Pz8cknn7DVZj09Pbz00ksICgrq0s+jN3l7e2PlypXYsGED6urqkJ2djffffx8rVqyAhYXFHZ1bRUUFNm3axNLMQ0NDMXXq1Ds6J0IIIYSQvooCW0K6oLkIEgCtptW2HKuurk4taDYyMlILdFsaP348JBIJfv31V1bZeP/+/XBycoKLiwusrKzYiqREIkFFRQWys7ORnZ2tVg34wQcfxKxZszo938TERHz44Yfg8/lsv+qXX36JxsZGAICFhQXefPNNraRq9zQXFxesWrUKGzZsQGVlJQoLC7F27VqsWLGiV/cDJycnIysrC+PHj4dAIMCmTZtQU1MDQJWuvmjRon7Zd5cQQgghpDdQYEtIF/RGYNHVczSv3m7duhUVFRVQKpUseAUAgUAAHo/XZlsgExMTPP300xg5cmSXzrlv3z5wHAeFQoHNmzdDoVCwNGhXV1e8+eabMDc379KYd9LAgQOxatUqfPjhhygtLUVZWRkLbh0cHACoimzxeLwe+QzU1NRg48aNkEqlOH78OKytrdnvz9ramiogE0IIIYTcBu2xJaQLWu55ra+v19q4LccyNjbu8vH+/v746KOPMGfOnFbHKxSKVkGtgYEBpk2bho8//rjLQW1+fj4SExPZfblczoLaESNGYOXKlf0qqG1mY2OD1atXs8JM1dXVeP/995GZmYnc3Fy88cYbePXVV29b2Ks7kpKSIJVKAQDFxcVISEgAoCpQ9tZbb7W715oQQgghhKjQEgAhXdAytba8vByenp4aj8lxHCoqKgCoAufuBoUGBgZ49NFH8cADD+Dq1atIS0tDVlYW6urqwHEcjIyM4OLiAg8PDwwbNgz6+vrdOk9ERESbj5uamuK5557r9rh9gbm5OVauXImPP/4YmZmZqK+vxwcffAAdHR3W5/fw4cNYuHChVs+bkpLS5uPBwcFUAZkQQgghpBMosCWkC1xcXKCjowO5XI68vDyMHDlS48rIhYWFbLXO09NT41RXoVCIkSNHtrsSK5fLER8fj/T0dGRnZ6Ourg48Hg/GxsZwdXWFh4cH/Pz82kx9bWhowNmzZ9sct6amBjt27MCSJUs0mv+dZmJighUrVuDTTz9FcnIyJBIJJBIJez4mJgbz58/Xampwampqm4+fPHkSVlZWuP/++7V2LkIIIYSQuxEFtoR0gUgkwsiRIxETEwOJRILMzEyNVm2bW+40mzBhgjam2SaxWIxDhw7h5MmTrCjRra5evQpAtXIZFhaGGTNmqK3A7tu3jwXhbWlv5bG/MTAwwNKlS7Fs2TK1oBZQFfe6fv261qo9NzY2Iicnp93nz58/T4EtIYQQQsht0B5bQrpoypQp7HZcXBzEYnG3x8rKykJxcTEAwMrKCkOHDtV4fm1JSEjAsmXLsHfv3naD2paqqqqwe/duLF++HDdv3mSPR0VFtfl6oVAIHx8fPPPMM1qb853EcRy+/PLLVkFts+joaK2d6+bNm+32HzYzM8Ojjz6qtXMRQgghhNytaMWWkC7y8vJCcHAwYmJiIJVKcebMGYSFhUEoFHZpnIqKCly6dIndf/LJJzVOa25LREQEtm3bxu7zeDw4OjrCxcUFlpaWrNVQfX09KioqkJWVhYKCAnAch9LSUqxbtw7PPPMMQkNDYW9vj/T0dPB4PPj4+MDPzw8+Pj5wd3eHrq6u1ud+p9TW1iIzM7Pd5y9fvoz6+vpW/YKVSiUSExORkpKCrKwsVFVVQalUwsDAAM7OznBzc0NQUBAMDAzYMadPn241vouLC2bMmIHRo0dTNWRCCCGEkE7gce0tFRBC2lVXV4dly5ahuroaAGBpaYlx48Z1uqJxbm4uYmJiIJPJAAAhISF48cUXtT7PkydP4scff2T37ezsMHr06NvOs7a2FufPn0dpaSl77IUXXkBISAiKiopgY2Nz1wdcBw8exOHDh9td4Z45cybmz58PQLVvOSIiAseOHbtt1WQ9PT0EBwdj7ty5sLKywl9//YX9+/cDAHx9ffHAAw/A29ubetYSQgghhHQBBbaEdFN2djbWrVvHUpEFAgH8/Pzg6ekJkUjU5jEVFRW4ceMGcnNz2WODBg3CsmXLtL7imZ+fjxUrVrBWP35+fhgyZEinAyaO4xAbG8tSkfX09LBx40bY2tpqdZ59mVKpRGZmJuLi4hAXF6f2ewsODsZLL72EnJwcbNmypc19skoeB44HCJStf+YikQjz589HaGgoEhISYGFhwXrmEkIIIYSQrqHAlhAN5ObmYtOmTWqrdHw+H9bW1rC0tIRIJALHcaipqUF5eXmr1T8DAwNs3ryZpQNri1KpxJo1a5Ceng4A8Pb27nK/WkAV3J4/fx4ZGRkAgMGDB+Pdd9+9Z1cTy8vLcejQIdTV1WHx4sVITk7GF198wVbeAaDIRo4sZznKLZRoMOAAHqArBcyr+XAo1IFrrg6E8v9+fmFhYVi0aBH4fCp5QAghhBDSXRTYEqKhpqYm7Ny5EydOnGi3CNCtBAIBFAoFAOCBBx7AAw88oNU5JSQkYMOGDQBU7WtmzpzZ7dRhmUyGgwcPsj6ua9asgZeXl9bm2l8lJSVh48aNbEW8ylSBi8OkqDJXdnicUAoMTdCFe85/e7KnTZuGJ598skfnSwghhBByN6MlAkI0pK+vj0WLFuHzzz/H7NmzYWlp2ebreDwe3Nzc8Mwzz+C9995jK3T79u3rsN1Ldxw/fpzdHjJkiEb7YYVCIQIDA9sc+15VX1+Pb775hgW1OQ5yHAttum1QCwAyXeBSkBQxw5ug5KkuhBw9ehSxsbE9OmdCCCGEkLsZrdgS0gNqamqQk5MDsVgMPp8PMzMzODs7Q09Pj73m77//xr59+wAAzs7O+OCDD7RSkEkul2Px4sWQyWQQiUSYN2+exmmuCoUCu3fvhlQqhUgkwg8//HBPp85u3boVp06dAgAU2ShwOrgJXDd+HO6ZOhh5TfWZMDMzw6effqpWMZkQQgghhHTOvfvNlJAeZGpqioCAAIwePRojR46El5eXWlALAPPmzYOjoyMAICcnBwcOHNDKuQsKCtieT1tbW60EoAKBADY2NgCAxsZGlJSUaDxmf1VRUYEzZ84AAKQ6HC4Ok3QrqAWADFc5CmxVq77V1dVsXEIIIYQQ0jUU2BJyh+jo6OC5555jgefevXu1kpJcUFDAbltYWGg8XltjFRYWam3c/iYqKgpKpSrlOMVDhkYDDZJeeMA1fym7e/z48U7v0yaEEEIIIf+hwJaQO8jNzQ1z5swBoEr3/f7779m+ze6SSv8LlIRCYQev7JqWY0kkEq2N29/ExcUBADhwyHDV7HcFALUmHEqtVIXEioqK7unVcEIIIYSQ7qLAlpA7bO7cuSwlOTs7W+OUZIFAwG5rGiS31HIsbQbM/YlMJkNeXh4AoNaYQ6NIO6urJdYKdjsrK0srYxJCCCGE3EsosCXkDhMKha1SknNzczt9vFwuR1paGv79919s2rQJv/76K3uuurpaa/NsOZadnZ3Wxu1PSktLWZumKtPbV0DurJZjtUwlJ4QQQgghnaN5CVZCiMbc3Nwwe/Zs7N+/HwqFAlu2bMH777/fZpVksViMtLQ0pKSkIDU1Fenp6Wrpxy2VlpaC4zjweDyN5qdUKlFaWgoA0NXVhb29vUbj9UVSqRRlZWWwsbFpd0W6uSgXAMiE2tsL23KslucghBBCCCGdQ4EtIX3EvHnzcOXKFRQUFCA7Oxv//vsv7r//flRVVSElJQXJyclISUlBbm5uhwWGjIyMwOfzUVtbi7q6OhQXF2PAgAEaza2goACNjY0AAF9fX7V057vFxo0bkZycDF1dXXh7e8PX1xe+vr5wdXVlq+ktLzToyDW7WNBSy7G00fKJEEIIIeReQ9+gCOkjmlOSV61aBQDYtWsXjh8/jqqqqg6Ps7a2hre3N/vP3t4ely9fxubNmwEA169f16jtj1KpxPXr19n9yZMnd2ucvq55b6tUKkVCQgISEhIAqAJNCwsLPPfcc3B3dwefz4dSqYRZrfYCW7Oa/343ml6EIIQQQgi5F1FgS8gdJJfLkZmZydKKU1JS2HMcx7UKank8HpycnFgQ6+XlBUtLy1bjBgUFwc7ODsXFxSgrK8PNmzfh6+vbrTkmJCSweQiFQq30xe1rmpqaYGVl1eb+VrlcjtLSUnz33Xf48ssv4eDggNzcXJjW8qEnASR6bQzYRTbl//1MXV1dNR+QEEIIIeQeQ4EtIb2o5f7YlJQUpKend3pPJY/Hw5YtW2BsbHzb1+ro6GDJkiX44IMPwHEc4uLioK+vD3d39y7NNyUlBfHx8ey+TCbDxo0bMXnyZDz22GPQ19fv0nh9gVKpRH5+PjIyMpCeno6MjAzk5eXdtn/s4MGDAQABAQHIzc0Fn+PBLUeIm16a7Yk1bODBrlSV2m1lZUUrtoQQQggh3UCBLSE9qLKyku2PTU1Nve3+WENDQygUCjQ1NbV6juM4NDU1dSqwBQAfHx/cd9992LdvHwAgJiYGZWVlGDZsGHR1dTs8ViKR4MqVK8jMzGSP2drash6rx48fR3x8PJ5//nl4eXl1aj53SmVlJQtgMzIykJmZ2ebPtz0CgQCPPvooZs6cCQAICwvDoUOHwHEcfNKEyHCWQarBqm1Aoi54UKU1W1lZobGxEYaGht0fkBBCCCHkHsTjbrdMQUgvqq2tRW1tLQDA2NgYpqamd3hGnadUKlFYWMhWY1NSUlBWVtbhMc37Y318fODt7Y24uDjs3Lmz3devXLkSgwYN6vScOI7Db7/9hoiICPaYnp4ePDw84OLiAjMzM5ZarFQqUVVVhezs7FaVlufMmYOHHnoIJ06cwM6dO9lzPB4Ps2bNwgMPPHDbYLk3NDU1ITMzUy2Qrays7PCY5vTuAQMG4MKFC2rPmZub4/XXX4eHh4fa45s3b8bFixcBALkD5Tg3UgJ0Y8utY74AYy+pr3qbmJjgoYceQmho6F2Z9k0IIYQQ0hMosCV3lFKpxLVr13DmzBmkp6e3CkLMzc3h4eGB8ePHY+jQoX3qi75MJkNWVhYLYlNTU1FfX9/u63k8HpydndX2x1pYWKi9pqioCGvXrmXB/a2WLl2K8ePHd2meHMfh5MmT2LFjByQSidpzAoEABgYGAICGhgYoleq9WUUiEZ588klMmDBBbY5btmxBWloae8zBwQEvvPACXFxcujQ3TTSnFKenp7NANj8//7YpxZaWlnB3d4e7uzs8PDzg6uoKfX19cByHpUuXoq6uDgDg5eWF1157DWZmZq3GqK6uxttvv81+36luMsQGSrsU3NqVCDDuvB50lKqDBAIB65ELAE5OTliwYEG390YTQgghhNxLKLAld0xcXBy2bdt221XNZlZWVliwYAFGjBjRwzNrW0NDg9r+2IyMjA73xwqFQnh6esLLywve3t7w9PRkQWRHxGIx9u7di6NHj6oFOoCqIvGiRYu6Nf+ysjL8+eefuHTpUqtxb6Wjo4PRo0fjkUceabM4lVKpxL///ovdu3dDLpcDUAVmc+fOxZw5c3qkZU1FRYXavtjMzMxWgfqtRCIR3Nzc1AJZc3Pzdl8fGRmJvXv3YvTo0Xj00Uc7fB+XL1/GF198wQLpEisFLgZJ0GDY8T+pfAXgf1MIn1Qh+P8fCdvZ2WH58uX4888/W60ajxgxAo8//jhsbW07HJcQQggh5F5GgS3pdVKpFD///DPOnDmj9rhQKISFhQWMjIwAAPX19aisrGwVPAYHB+PZZ5+Fnp4WytF2oKKiQi2t+HYFhoyMjNhKrI+PD1xdXTUK8IqKivDHH38gNjaWPebm5oZ169a1eq1YLIZEIoGOjg6MjIzA47W/dFhdXY2YmBikp6cjOzsbdXV14PF4MDY2hqurKzw8PBAcHAwTE5PbzjE3NxffffcdcnJy1Oa4dOlSODg4dPEd/6exsRGZmZlqgezt2h7x+Xw4OjrCw8ODBbH29vY9usp/9uxZbNmyhX0uFHwOuQ5yZDnJUWGuhFyoeh1PCZjU8eBQqAOPLB0YNLWe08yZMzF//nwkJydj+/btrP0QoLrQMGPGDNx3330QiUQ99n4IIYQQQvorCmxJr5JIJPjkk0+QlJTEHrO1tcWgQYMwcODAVkGIUqlEUVERkpKSUFxczB739vbGsmXLbluVNyMjA+fPn8fYsWM7TJNVKpUoKChQC2TLy8s7HNvGxobtjfXy8oK9vX2HAWV3xcXF4ZtvvkFTUxOefPJJTJ06FRKJBOfPn0dsbCyysrLUUrgNDAzg6uoKPz8/TJw4scf3Kcvlcuzduxf79+9nqcxCoRAPP/wwpk+fftvAUqFQsJTi5n2xnUkptrKyYgGsu7s7XF1de/xiR1sSExPx/ffft/q8cODQqM+B4wF6Eh5LOW4mEAhgZmaGiooK9thjjz2G2bNnQ6lU4syZM/j7779RXV3NnjczM8PDDz+M8ePH96m0fEIIIYSQO40CW9JrOI7D5s2bcenSJQCqVagRI0bA3d39tgEhx3HIysrCpUuX2ApuUFAQ/ve//7V77KlTp/DTTz9BoVDAzs4OmzZtYq+VyWSsf2zz/tiGhoZ2z3/r/lhvb+8OU1q1jeM4cBwHpVKJQ4cO4d9//+1wvs0EAgHGjRuHxx57rNPVlLsrPT0dW7ZsQWFhIXvMx8cHzz33HEuj5TiuVUpxVlZWp1OKPTw8WCDb1t7XO6WxsRH79u3DyZMnb/t74fF4GDZsGB566CE4ODjgjTfeYNWmAeC5555je5obGxuxf/9+HD58mKV8A4CLiwuefPJJ+Pj49MwbIoQQQgjpZyiwJb0mOjoa3377LQDVil54eDisrKy6NEZFRQWOHz/OgtslS5Zg4sSJaq9RKpXYuXMnDh06pPb4kiVLUFxcjJSUFGRmZna4P1ZXVxceHh4siPX09LzjKaBFRUX46quvkJ2drfa4UCiEubk5dHV1oVAoUF1djcbGRrXXmJqaYunSpQgMDOzROUqlUvz11184evQoW3EVCoUICAgAx3HIzMxUW4FsC5/Ph5OTE1uN9fDwwIABA/rFCqVUKsWlS5fYxZK8vDwAqjR1Pz8/uLm5YfTo0Wqfe6lUildffRU1NTXssbfeegtDhw5l90tKSvDHH3/g8uXLaucbPXo0Hn/88S7/HRFCCCGE3G0osCW9oqmpCa+88gqrIjt+/Hg4Ozt3a6z8/HxERUUBUKXdfvnll6wok1gsxjfffIOrV692aUxjY2O11VgXF5ceKYDUXbm5uVi/fj2r2Mvj8eDq6govLy9YWVm1WrWuq6tDWloaUlNTWQDP5/Px/PPPIyQkpEfmqFAokJeXh/T0dMTGxuLGjRu3LVIFqFoe3VqluC+0DtJURkYGVq5cCQCYOnUqFi5c2O5r6+vr8eqrr7ILEnw+H6tWrWrVIzgxMRHbt29Hbm4ue0woFGLWrFmYPXv2bVPzCSGEEELuVhTYkl4RGRmJn376CYCqjUnL9jHdcfbsWbZy+dRTT2HKlCkoLCzE6tWrO5Wia2trqxbIDhgwoEf2x2pDVVUVVqxYwVb0TE1NERwc3KlVOrFYjAsXLqCgoACAKmBavnw5/Pz8NJoTx3EoLy9vlVLcsvdtexwcHBAUFMRWY/tTr+Ku6EpgCwDl5eV488032c9QIBBg48aNGDhwoNrrlEoloqKi8Pfff7MLHQBgYWGBRx99FMHBwf1idZsQQgghRJsosCW94r333kNmZiYAYMaMGW22kOmKqqoq/PvvvwBUgfLGjRuxevVqtd6qtzIyMsLixYvh5eXVq/tjNcFxHDZt2oS4uDgAqoJJYWFhXVrR5DgOFy9eZD8bS0tLfPTRR51qPdRMLBazwk7NgWzL1Nm2CAQCODk5wczMDCkpKRCLxey5ESNGYPHixZ2qvNxfdTWwBYC8vDysWLGCrXTr6elh06ZNrfodA6r2U3v37kVERITayriHhweefPJJeHh4aOmdEEIIIYT0fX0n15LctZqamljrEjMzM42DWgAwNzeHhYUFKisrkZubC7FYjMDAwA4D2/r6evj6+rJ2Qv3B5cuXWVCrr6+P0NDQLqfp8ng8jBo1CnV1dSguLkZFRQX27NmDBQsWtPl6uVyO3NxctUC2ZUGo9lhbW6sVd3JxcWFzra+vx7Zt23Du3Dn2vlJSUrB48eI71pe4L3J0dMS7776LDz74ABzHQSKRYNmyZdi8eXOrCxGGhoZ44oknEBYWhh07drD0+/T0dKxatQpjx47Fo48+2mZQTAghhBByt6HAlvS4nJwcVkhIm0VurKysWJubrKwszJs3DxMnTkRycjLS0tKQnJyM3Nxcdm6BQKC1c/eWo0ePstujRo3q9h5KHo+HMWPG4MCBA1AoFIiKisKDDz4IfX19lJWVqbXaycrK6rCwFqDa29yyuJObm1uHKcVGRkZ48cUXMXz4cPz888+oq6tDbW0tPv/8c4wbNw5PPvkkDA0Nu/Xe+oOuJMb4+Pjgtddew+effw5AtTL71ltvYfPmzW3u+x4wYADeeustxMfHY/v27SztPDo6GpcvX8bs2bMxa9asu2LfMiGEEEJIeyiwJT2uqqqK3dZm6mnLQKr5HBYWFggODkZwcDAAVQptWloasrOz4eHh0a9WawsKCpCcnAxA9V4dHR01Gs/IyAhubm5IS0tDU1MT1qxZg5qaGtTW1nZ4nEAggLOzs1oga2tr2619nKNGjYKPjw9+/PFHxMbGAlDtl05MTMSSJUsQEBDQrffWF2myZ7s5Vbt5X3pVVRWWLVuGTz75pN2fe0BAADZu3IgTJ05g9+7daGhogEQiwe7du3Hq1Ck89thjGD16dJ/dS04IIYQQogkKbEmPUyqV7LY2i9q0/ILe8hwtGRgYIDAwsMfb3PSEmzdvstud6fXbGe7u7ixdu7kVza1sbGxYOrGHhwecnZ21utpnamqK//3vfzh79iy2bduGxsZGVFZWYuPGjQgPD8fjjz9O1X0BhIWFoba2Frt27QKgave0Zs0avP/+++0eIxAIMHXqVISEhGDPnj04fvw4lEolysvL8dVXX+HYsWNYsGAB3Nzc2DFFRUXIzc3F8OHD+2VWAyGEEEIIQIEt6QUt+7/e2l9VEy3HutM9ZntC875kQLV/VRssLCzA5/PZhQBDQ0MWwDa33OmNgk48Hg/jx4+Hr68vvv/+e9y4cQMAcOLECSQkJOC5556Dj49Pj8+jr5s7dy5qampw7NgxAKr9s59++inefPPNDo8zMjLCwoUL2f7b+Ph4AEBKSgpWrlyJ8ePH45FHHoFCocDKlSshFosxbtw4PP/88z3+ngghhBBCegIFtqRHSCQSJCcnIz4+HteuXWOPV1RUaO0czftrAXS7J25fVl5ezm5rqyWOQCCAsbExampqIBQKsXXr1juammppaYl33nkHJ06cwB9//AGJRIKSkhJ88MEHmDFjBh566KF7fm/oU089hbq6Opw/fx4AEBcXh61bt2LJkiW3PdbBwQHLli3DtWvXsGPHDhQVFYHjOJw+fRoXL16Era0tq1Z99uxZjBw5EkFBQbcdV6lUIiUlBZmZmcjJyYFYLAafz4e5uTlcXV1ZCy1CCCGEkN5CgS3RCqVSidzcXCQkJCA+Ph4pKSmQy+WtXldaWgqJRAI9PT2NzieVSlFcXAxAtTqlrRXNvqRlCxdtpnA3p5sqFIo+sd+Sx+Nh8uTJ8Pf3x5YtW5CamgqO43Do0CFcu3YNzz//vFrqbH+kaVe1l19+GTU1NUhKSgIAnDp1CiYmJnj00Udx7NgxxMTE4Mknn2zz58Tj8TB06FD4+/sjIiICe/fuhVgsRlNTE3JyctRe+9NPP8Hb27vdvehisRjHjh3DyZMn1S68tGXQoEGYOnUqRowY0Sc+Z4QQQgi5u1FgS7qtqqoKCQkJ7L/2ihDxeDyYmpqiuroaSqUSaWlp8PPz0+jc6enpLPALDg6+K784t0yvbmpqglAo1Mq4TU1NrcbvC+zs7LBq1SocOnQIu3btglwuR0FBAVavXo37778f9913X5tVge8VK1aswIoVK5CbmwsAOHDgAG7cuMH6Q3/88cfYsmVLu8fr6Ohg5syZGDduHP7++2+cPHmy1Wuqq6uxffv2NlOSr1+/jh9++EEtU6IjN2/exM2bNxEYGIhnnnlGK22+CCGEEELac+9+SyRdJpVKkZKSgvj4eCQkJLAv2G2xsrJCQEAAAgICMHjwYNTV1eGNN94AACQkJMDFxaXbFYobGhrYnkEACA8P79Y4fZ2joyOrHFxZWQljY2ONx2xsbGSpp05OThqPp218Ph+zZ8/G0KFD8e233yI7OxsKhQJ79uxBXFwcnn/+eTg4ONzpad4RfD4f69atw//+9z+2Wtoc1AJAbW0tqqurYWZm1uE4JiYm8PLyajOwBVQpyf7+/hg7dix77MCBA/jzzz/VXjdw4EA4OjrC0tISIpEIHMehtrYW5eXlyMjIYBe6rl+/jnfeeQfLli2Du7t7d946IYQQQshtUWBL2sVxHPLy8lh6cXJycrv9TfX19TF48GAEBATA398fdnZ2aquoRkZGCA0NRVRUFORyOaKjoxEeHt7lFTiFQoFz586xeYwbN+6uDXRappUWFBRoZR9xc4/TW8fvaxwcHPD+++9j37592LdvH5RKJbKysvDuu+/ioYcewowZM7Sant1f6OjoYOPGjViyZEmblcAjIiLwyCOP3HacyMjIDp/funUrxowZA4FAgH///VctqLWzs8OoUaPaLDJmYGAAOzs7+Pr6Ij8/HxcvXkRjYyPq6+uxYcMGrFq1qk9eUCGEEEJI/0eBbS/Kzs7GlStXkJWVhfz8fEgkEujo6MDGxgaurq7w8/NDYGDgHf3CXlNTo5ZeXF1d3ebreDweXF1dWSDr6el52yB1/vz5iI+PR0VFBcrKynDy5EmMGzeu0ymxTU1NOHv2LEpKSgAAZmZmWLBgQZfeX3/i5+cHAwMDiMViZGdnIygoSKO9yRzHISUlhd0fNWqUNqbZY3R0dPDggw9i2LBh+O6771BQUACZTIY//vgDsbGxWLp0KWxtbe/0NHvd+++/3257qytXrnQqsPX09GRtn9oil8uhVCqRnp6OnTt3sseHDBkCPz+/26b+83g8ODo6wsbGBqdPn0ZJSQnEYjE2b96MDRs23PMFwQghhBCifTxO06om5LauX7+OPXv2ID09/bavtbKywvTp0zFlypRe6Skpk8mQmprK0ouzs7Pbfa2FhQVLL/b19e1WamxmZibWr1/PWvXo6ekhKCgILi4u7b5fpVKJ7OxsxMbGsv2henp6ePfdd+Hh4dHlOfQnv/32G44ePQpAtcIaEhLS7bHS0tJw4cIFAICLiwvWr1/fb/YmS6VS7Nq1C4cPH2aFmPT09PD4448jPDy8T76PzMxMvPfeewCAyZMnY9GiRRqPWV9f32E1ZB6Ph+3bt3fq4lhJSQlqamrQ2NjIUtQrKyuRnZ2NkJAQBAUFYfny5axIW0BAQLf6QctkMhw7doztzZ01axYef/zxLo9DCCGEENIRCmx7kFgsxvbt23H69OlWzwmFQujq6kKhULBgrSV3d3csXboUAwcO7NS55HI5BALBbb/gcxyHgoICll588+ZNSKXSNl+rp6eHQYMGsVVZe3t7rQQQzb04Wxab0tfXh7OzMywtLdne2/r6elRUVCA3N1etZ62RkRHefPNNeHl5aTyXvq6iogJvv/02e/9jx46Fq6trl8eprq7G0aNHWQr322+/jSFDhmhzqr0iOTkZW7ZsQWlpKXvM398fS5Ys6XPFiXoisAWAt956Sy2l/FYvvPCC2v5Y4L/2PLGxsSgsLIRcLoe+vj48PDwwatSoNle+T506ha1btwJQXXCbOnVqt7NJqqurcejQISiVSgiFQnz99dda2TNOCCGEENKMAtseUltbiw0bNqi10zAzM4OXlxfs7e1hZGTEgsSmpiaUlpYiPT1d7QurgYEB3n777dsGcDExMfjll19gbW2N1atXt0pXra2txY0bN1h6cUdVTV1cXFgg6+XlpbVKvLeqqanBL7/8gkuXLnXpuKCgICxevPi2BXLuJi0DDB6PhzFjxnSpCE9FRQVOnjzJLqCMHz8eS5cu7ZG59oampib8/vvvavtEDQwMsHDhQowdO7bPrN427wkGtBvYAqqKw7t27UJqamqrtOQBAwZg06ZNAIDCwkJs374dCQkJ7aYvA6qf34QJE/Dwww+zfz/ee+89Vpxq2rRpGrfUunz5MpKTkwEAjz32GGbPnq3ReIQQQgghLVFg2wMkEgnWrl3L0nqFQiGCgoLg4eFx2y/dZWVliImJYauZIpEIa9eubbdA0qFDh/D777+z+y+//DJGjBjRKr24vV+zubk5/P39ERAQAD8/vzYLwvQUjuNw8+ZNHDt2DFeuXGn3izePx8Pw4cMRHh7eqf19dxuO4/Djjz8iKiqKPebk5IThw4fD0NCw3eOkUimSkpJw48YN9vt3c3PDu+++2+da/XRHW+1nhg8fjsWLF8PU1PQOzkylJwPbZnK5HBERETh48CD7N2PmzJl47LHH8MMPP7SZLdIRoVCI5557Dl5eXnjllVcAqLYgzJgxQ+O/u9raWuzfvx+Aao/v2rVrNRqPEEIIIaQlCmx7wPbt23HkyBEAqpWQ8PDwLn3RlslkOHXqFNvb5uLigvfff1+tOJNSqcTvv//OztPMwsICDQ0NkEgkbY6tq6uLQYMGsWB24MCBfSJQ3LZtGyIiIgCoihpZWVnB2NgYrq6ucHV17XZroLuFUqnEL7/8orZKyePxMHDgQNjb28Pc3Bx6enqQy+Worq5GaWkpsrOzIZfL2es9PDzw9ttv31U/y4aGBmzbtg3R0dHsMWNjYyxevBgjR468gzPrncC2pcrKSkilUhgZGWHZsmWoqqpSe97W1hY2NjYwMzODQCCARCJBZWUlCgsLUVdXp/ZaLy8vpKamAlAVMRs6dKhW5rhv3z7U1dVBV1cXP/30U6/UESCEEELIvYGqImtZeno6K/YjEAgQFhbW5dUjoVCIiRMn4ujRo6iurkZ2djYOHTqE++67D4Aq8P3mm2/aTONtK83Y2dlZLb24L1Ykba50DABPPPFEn9sveafx+Xw8/fTTGDx4MH755RfU19eD4zjk5+cjPz+/w2MFAgHuu+8+3H///V1ur9TXGRoa4oUXXsCIESPw008/oba2FnV1dfjiiy8QEhKChQsX9olAvjeuH1pYWEAsFuO1115DfX09e9zNzQ3+/v7tZmNwHIfi4mLExsayYLg5qG0eV5tzrKurg1QqRWlpKQYMGKC1sQkhhBByb7u7vuX2Af/++y/7EhsYGNjtvaBCoRDBwcE4cuQIOI7DkSNHMGPGDOjo6OCNN95AeXl5u8caGRlhyJAhLJjtC2mZt9McnIlEIq1+kb6bNO+v9fX1xYkTJxAZGdlqVa4lPT09jB07FlOnTr1re/02GzFiBLy8vPDzzz/j8uXLAIBz584hKSkJS5Ys6VY1X03diUyIdevWsaBWR0cHY8eOhaOjY4fH8Hg8DBgwANOnT8e1a9eQlJSk9rwmLaZu1XKs9rJKCCGEEEK6gwJbLaqqqsKVK1cAqKr8+vj4aDSepaUlnJyckJOTg9raWly+fBmenp4dBrUAcP/992PGjBkanbs3icVi9p4cHR37RGp0X2ZiYoJ58+bhvvvuQ2ZmZqu+yLa2tnB1dYWHh8ddsZe2s0xNTfHaa6/h3Llz+PXXXyEWi1FVVYWPPvoIYWFhePzxx3vt5yGRSNSqncvlcojFYohEoh77fB87dozt62/OFrGxsen08QKBAEFBQRAIBEhISGCPi8Virc1RoVConY8QQgghRFsosNWixMREVgDJ3d1dK1/cPD09WWXl+Ph4BAcHw8fHp81qqM066kXbF7VMpb3d6hL5j0AggKenJzw9Pe/0VPoMHo+HsWPHYtCgQdi6dSsL0CIjIxEfH4+lS5di0KBBPTqH33//Xa3fLqCqbH3q1CnY2tpi7dq1PVKkbefOnez2kCFDuhTUthQYGIiSkhLWUik+Ph5ubm5amWN1dTUA1e/JyspKK2MSQgghhAAU2GpVVlYWu21nZ6eVMa2trcHj8cBxHBt/1apV4DgOZWVlyMrKUvtPKpVi+PDhWjl3b8nLy2O37/aUWdI7LC0tsXz5cpw8eRI7duyARCJBWVkZ1q1bh2nTpuGRRx7psb3mFy9ebHdPbUlJCbKysrSeGh0dHc1Se83MzDTKFuHxeBg9ejQOHDgAAKirq4NcLtd4f7ZUKmWp83Z2dvdUNgEhhBBCeh4FtlrUXMUYgNb6rOro6MDExAQ1NTVq4/N4PNjY2MDGxgajRo0CoCoCw3Ec+Hy+Vs7dW1oGtrRiS7SFx+MhLCwMfn5+2LJlC1JSUth+9ebV2670A+6sUaNG4dChQ20+Z2JiovEWhba0rI7u7e2t8b8BpqamsLe3R2FhIQBV31x/f3+NxszKymJZJr6+vhqNRQghhBByq/4VAfVxMpmM3RYKhVobt3mlRCaTdVhdlcfj9bugFlBPRaYVW6Jttra2WLlyJebPn8/+LgsKCrB69Wrs2rVLrSWSNsyaNavd1eDZs2drtRhTs5YXvZycnLQyZstx0tLSNBpLJpMhMTGR3Q8PD9doPEIIIYSQW/W/KKgPa/llViqVam3c5oBZV1f3riusxHEccnNzAahWuXti7yEhfD4fM2fOxPr16+Hq6gpA1Rt47969WLVqFfsMaoOpqSkmT57c6nETExOEhYVp7TwtNTY2AlC1P9LX19fKmC1bbjU0NKgFz10VFxeHhoYGAKrVWm0F34QQQgghzSiw1SJ7e3t2u61+st0hk8lQV1fXavy7RU1NDWtPQqu1pKc5ODhg7dq1ePDBB1lxt+zsbLz33ns4cOBAuwXZumrWrFmtsjZmz56ttaCzpZYX0QwMDLQ27q1jnT59ulv/riUmJrK+uLq6uli8eLFW5kcIIYQQ0hIFtlrUsnKoJqsbLZWUlLD04+aVprsJ7a8lvU1HRwfz5s3D2rVr2cUUuVyOP//8E2vXrkVRURF7LcdxSEtLYxeXOsvU1BSjR49m94VCYY+t1vbU9oNbtz1IpVJEREQgNTW1wy0RzSQSCc6dO4e4uDj22IIFC7RWWI8QQgghpCUKbLXI19eXrdJkZmZqZe9e80oHAFy/fh2RkZGs+undgPbXkjvFzc0N69atw+zZs1mKf1paGt555x1ERERAqVTi119/xerVq7Fy5bzPbuUAAJdMSURBVEqW7ttZDz/8MBt34sSJPbJaC6gC9ebz1NbWdiro7Iza2lp2u3mbhVwux8WLF3HkyBFkZGS02nLBcRzq6upw7do17N+/H5mZmey5hx9+uMeCe0IIIYQQHqetb0EEAPDdd9/h7NmzAAA/Pz8MHTq022MVFRXhxIkTrR43MjLCpEmTMGXKFFhYWHR7/DtFqVTi5s2bEAgEiIyMxLlz5wAA77//Pjw8PO7w7Mi9KCUlBVu2bEFJSQl7zMnJSW3v7f3334+HH364S+OWl5ejsLAQAQEBWptrW5577jm2qnz//ffD2NhY4zGTkpIQGxsLABgzZgz09fURFRXV6nXGxsYQiUTgOA61tbWtLrwZGBhg4cKFGDdunMZzIoQQQghpDwW2Wpafn4933nkHCoUCPB4PU6ZMgY2NTZfHkUgkOHToECu4Ymtrq/alGwAEAgFGjx6N6dOnq6VB93UHDx7Ezp07Wz0+ZcoU+Pr6Yvjw4XddkSzS9zU1NWHnzp04fvx4m88LhUJ89tlnakWV2iORSJCbm4uKigoolUqIRCI4OTnBwsKiRz7b69evZ1WHAwMDNQ6kOY7DoUOHWN/Z//3vfxg+fDji4+Oxc+dO5OTk3HYMPp+PUaNG4fHHH+/Uz4wQQgghRBMU2PaAf/75B7t37wagSuGbNGkSrK2tO318U1MTIiMjWaGWQYMG4d1330V2djaOHj2K8+fPQ6FQqB3j4+ODadOmYfjw4X2+5c9vv/2Go0ePtvv8008/Te1AyB2TkJCATZs2tVnZfNy4cXj++efbPE4ikeD8+fM4efIkMjMz2yxEZWZmhtGjRyM8PFwrxeDkcjni4uJw4MABlvYrEokwZ86cdlsOdUZhYSEiIyMBAHp6evjll1/Yc837jmNiYpCZmYmcnBxWud3ExASurq7w9vbGhAkTYG5ursG7I4QQQgjpPApse4BcLsdHH33EVlD4fD78/f3h6+vLKrG2heM45OXl4eLFi2hqagKg+iK8du1atcC4qqoKx44dQ2RkJKso3Mza2hrTpk3DhAkTtFohVZvi4uLw6aeftvv8M888g0mTJvXijAj5z4ULF/Dll1+2+3zLlkHNLl68iF9++UVtX+rtTJgwAU888QQMDQ27PMeysjJERUXh1KlTqK6ubvW8h4cHxowZ0+VxAVUl9oMHD7JskfDwcDz99NPtvp7jOJah0tG/b4QQQgghPYkC2x7S2NiITZs2ISkpiT0mEong4eEBe3t7mJubQygUQqlUoqamBqWlpUhLS2OpfwBgbm6Od955p92iShKJBNHR0Th69CgKCgrUnhOJRJg4cSKmTp3arVToniSVSrFkyZI2V8Q8PDywatUq6Ojo3IGZEaKe1tsWS0tLfPXVVwBUn+UffviB7RNvZmpqCisrK5iamoLP56OxsRGVlZUoLS1Vy7awsLDAa6+91qm95UqlEteuXUNkZCSuXbvWqkiUubm52r8fI0eOhLe3d6feczOFQoHTp0+zf08MDAywZcsW+nskhBBCSJ9HgW0Pkslk2Lt3b7v9Mfl8frt9M4cNG4bFixd3KpVPqVQiISEBhw8fRkJCgtpzPB4Pw4cPx/Tp0+Ht7d1n9q5++umnam1AANWX6A0bNnQpbZsQbTt27Bi2b9/eKt2/pZ9//hkCgQCbNm1CfHw8e9zBwQF+fn6wsrJq829NIpEgPT0dCQkJLH1XT08P77zzDry8vNo8V1VVFaKiohAVFYWKigq15/h8PoYPH46wsDD4+vpiy5YtiI6OZs/7+voiMDCwUyup9fX1OHfuHEpLS9lj7777Lnx9fW97LCGEEELInUaBbS/IysrCvn37EBsb224g28zd3R0zZ87EqFGjuhWE5ufn48iRI4iOjmZfnJu5ublh+vTpGDVq1B1fgTl58iR+/PFHtcdee+01jBw58g7NiJD/iMVilJaWoqSkBCUlJSgtLUVqaipKS0vh4eGB9957Dz/99BPbhyoQCDBmzBi4uLh06u+2oaEB0dHRLIg0MjLCRx99xC5kKZVK3LhxA5GRkW3+u2FpaYlJkyZh4sSJrS5+rV69Gmlpaey+qakpfH194eLi0maAKxaLkZaWhqSkJLUWZU888QRmzJjRyZ8YIYQQQsidRYFtL6qoqMC1a9eQmZmJgoICSCQSCAQC2NjYwNXVFX5+fq327nVXbW0tIiMjcfz48VZ78MzNzTFlyhSEhYXByMhIK+frqqqqKrz44ovs/qRJk/DMM8/ckbkQ0lUJCQnYsGEDAFVQGxYWBltb2y6NoVAocPLkSRQXFwNQZWk8++yzOHPmDCIjI9VWTgFV9sWQIUMQHh6OwMDAdovEKZVKfPbZZ60yIoRCISwsLGBmZgYdHR1IJBJUVlaiqqpKLa2Zz+dj0aJF1HOWEEIIIf0KBbZ3OblcjvPnz+PIkSPIzs5We05XVxfjxo3DtGnTMHDgwF6f2wsvvIDq6moYGBjg22+/1aiKKyG9heM4vPXWWygsLATQvb2szSQSCQ4cOMCKxbW1PcHMzAyhoaEIDQ2FlZVVp8e+fPkyvv3221Z9ZTtib2+Pd955h9rzEEIIIaTfocD2HsFxHJKTk3HkyBHExsa2KjwTGBiIGTNmwM/Pr9f24dbW1iIqKgoTJ06Eqalpr5yTEE3duHEDH374IQBVFfKpU6dq9DeTnZ2Ns2fPtnrc398fYWFhGDZsWLe3DiiVSkRGRuLXX39t9TffTEdHB25ubnjiiSc6VcSKEEIIIaQvosD2HlRSUoKjR4/i9OnTbKWomaOjI6ZNm4aQkJBWK6j5+floaGjo1uqUTCZDbm4ucnJyUF9fDx6PB1NTU7i6usLe3p7ahJB+49tvv2UFmsaPHw9nZ2eNxlMqldi7dy/EYjEAYMqUKZg2bRrs7Ow0niuguoC0dOlSAKoV4aeeegpyuRyGhoYICAigi0qEEEIIuStQD4d7kK2tLRYuXIiHHnoIUVFRiIiIQHl5OQAgLy8PP/zwA/766y+EhYVh8uTJMDMzQ25uLlauXAmZTIaHHnoIc+fO7dS50tPTcfz4cVy4cKFVMatmBgYGGDduHCZPngx7e3utvU9CekJzYSaBQNBuK66u4PP5cHFxYa3BAgMDtRbUAkBMTAy7bWNjg/DwcK2NTQghhBDSV1Bgew8zMDDAzJkzMW3aNFy5cgVHjhxBamoqANUqz969e3Hw4EEEBwejrq6OBaa7du3CwIEDO6xgXFtbi23btuH8+fO3nYdYLEZERASOHTuGGTNm4KGHHqL9tqRPEovFKCkpAaAqwqatTAMLCwt2OysrC0OHDtXKuADUikj5+PhobVxCCCGEkL6EAlsCgUCAUaNGYdSoUUhPT8eRI0dw8eJFKJVKyOVynDlzptUx3333HWxsbODi4tLqufT0dHz66aeora1lj+nq6sLBwQEWFhYwNDQEx3Gor69HeXk5CgoKoFAowHEcDh06hKtXr2LZsmXUz5b0OXV1dey2NiuKtxyr5Tm0IScnh90ePXq0VscmhBBCCOkrKLAlajw8PPDyyy/j8ccfx7FjxxAZGcn2/rUkkUjwySefYP369TAzM2OPp6en48MPP2R7d3V1dTF06FC4ubm1WwBHIpEgJSUFCQkJUCqVKCwsxPvvv4/Vq1d3qQosIT2tp0oStCw+pc1zyOVyFijzeDz4+flpbWxCCCGEkL6k7UaI5J5naWmJxx57DJ999hn09PTafE1VVRXee+891k6krq4OmzZtYkGtra0t5syZAy8vrw6ruurp6SEgIACzZs2CiYkJAFXP388++wxyuVzL74yQ7jM2Nma3GxoatDZufX09u938N6ANLdOQTU1N2+19SwghhBDS39G3HNKh+Pj4DvtgVlZWYteuXQCAbdu2oaamBoAqqJ00aRJEIlGnz2VqaoopU6aw4CE7OxsHDx7UYPaEaJehoSFsbGwAqD77t/ac7a6Kigp2W9Mqyy1dunSJ3XZzc9PauIQQQgghfQ0FtqRDnUmL9PLyQmZmJqu+qquri7Fjx3ar96ZIJMLYsWNZaua+ffu0vueQEE0093pVKBTIz8/XeDylUsn2wfJ4PLi7u2s8ZrPmCs4AEBQUpLVxCSGEEEL6GtpjSzoUEhICPp+PqqoqiEQi6OnpQSQSQV9fH3w+HzY2NrC0tMTWrVvZMUOGDIGBgUG3z2llZQUvLy+kpKRAJpPhzJkzmDlzpjbeDiEaGzduHLuIc/PmTTg6Oqrtke2q5v7QABAQEKC2Z11TLVeCx4wZo7VxCSGEEEL6GgpsSYf4fD5CQkI6fI1cLmdtfYRCoVZSHr29vZGSkgIAiI6OpsCW9Bn+/v6ws7NDcXExSktLkZ6eDk9Pz26NJZFI1NKFp0yZoq1pIjMzk6VKGxgYQF9fX2tjE0IIIYT0NZSKTDRWUFDA9uHa29tDKBRqPKapqSnMzc0BAHl5eZBKpRqPSYg28Pl8LFiwgN2/cuUKysvLuzyOQqHAuXPn0NjYCEC1WjtkyBBtTRPR0dHs9sCBA7U2LiGEEEJIX0SBLdFYyz6ZlpaWWhvXwsICgGoPYm5urtbGJURTQ4cOxYQJEwCoMhZOnDjRpc+oWCxGVFQUCgoKAKj2lj/77LMapTTfKikpid0ODAzU2riEEEIIIX0RpSITjbVse6LJ3tpbGRoatnkOQvqCRYsWoaysDElJSZDJZDh9+jScnZ3h5+fHLsrcSiqVIjMzE9evX2dZCEKhEG+88YZWLwoBQHFxMbs9btw4rY5NCCGEENLXUGBL+qyWrVSo/ybpa3R1dfHWW2/h22+/xeXLlwGoshdycnJgYWEBKysr1ju2sbERlZWVKC4uVuvNbGJigtdeew0+Pj5anVt1dbVa4Gxtba3V8QkhhBBC+hoKbInGmvfCAkBtba3Wxm3Z5sfU1FRr4xKiLXp6enjttdcQHR2N3377jWUWVFZWorKyssNjx4wZg4ULF8LExETr8zp79iy73dx3lxBCCCHkbkaBLdGYi4sLu92yvYgmOI5jBXl0dXWp+A3ps3g8HsaNG4egoCCcO3cOJ0+eVNt33pKBgQHGjBmD8PBwODs7IyoqCmlpaXj88cdhZGSktTldu3aN3R40aJDWxiWEEEII6asosCUas7W1hampKWpqalBYWIjGxkaIRCKNxiwrK2OrX+7u7hAIBNqYKiFap1Qq8ddff6GhoQGLFi3C5MmTIRaLkZWVhYqKCiiVShgYGMDJyQm2trasQFRpaSl++OEHAEBMTAyWLl2KUaNGaaWAVF5eHrsdHBys8XiEEEIIIX0dBbZEYzweDxMmTMCBAwfAcRxu3ryJYcOGaTRmYmIiux0aGqrpFAnpEU1NTfjoo49Yz2VjY2M88sgjMDAwgK+vb4fHtmxhJZVK8eWXXyIwMBBPPfUUbG1tuz0nqVSK+vp6AKq/TS8vr26PRQghhBDSX1BFHqIVYWFhbFU1KSlJo5Tk7Oxs5OfnA1AV1xk5cqRW5kiINpWXl2Pt2rUsqAVURZs6q63KydevX8fbb7+NvXv3QiaTdWk+6enpiImJwfnz59lj5ubmVHiNEEIIIfcEWrElWmFtbY2QkBCcOXMGHMfh9OnTmDp1qlrLns6oqKjAhQsX2P2nnnoKurq62p4uIRpJSUnB559/3qpYWlcKQYlEIujq6qqt3AKATCbDrl27UFZWhiVLlnRqrNjYWGzatKnNc1RUVGi9lRAhhBBCSF9Dl/KJVkRFRSE6Oprdb2howNGjR1FSUtKp4zmOQ1ZWFo4fP85WqkaNGoVRo0b1yHwJ6a7o6GisW7euzQrgtwapHeHxeB1W+y4rK+v0WFlZWW0+XlBQgJdffhnff/99p8cihBBCCOmPKLAlGlEqldixYwd++OEH1ne2uXCUWCzGsWPHEBMT027rE47jUFxczALj5qDWxcUFS5cu1UohHUK0RSKR4IcffoBCoWj3+a5oL7D19vbGs88+2+lxbncBKDY2tkvzIoQQQgjpbygVmXSbWCzG119/rdZaZOrUqZg1axa+/vprtvcwIyMDGRkZMDY2hqWlJQwNDcFxHOrq6lBRUQGxWNxq7KqqKjQ1NUFPT6+33g4ht6Wrqwt7e/t22/k0NTV1aTwzM7M2H58+fXqX+s86OjpCIBC0G3BPmzatS/MihBBCCOlvaMWWdEtJSQnWrFnDglqBQIDFixdj4cKFsLS0xMqVK7FgwQK1tj91dXXIzs5GYmIikpKSkJeXpxbU8vl8ODk5AQBqamrw9ddfs1VgQvoCHo+H1atXY/78+W1mE3Q1sHVzc2O3W/ab/e2339DY2Nilsaytrdt8fMiQIZg3b16XxiKEEEII6W8osCVdlpycjFWrVrHKxYaGhli+fDnCwsLYa/h8PqZPn46vv/4aixYtgqenJ4RCYaux9PX1WTqmUqnE9OnT2SpWYmIidu/e3fNviJAu0NfXh46ODjiOA6CeTtzVNj2zZs3Cyy+/jHXr1uG9995DYGAgAKCysrLLn/2WgXEzGxsbvPnmm10ahxBCCCGkP+Jxzd/OCOmEU6dO4aeffmIpjwMGDMCbb76JAQMG3PZYuVyOwsJCNDQ0AFAFBHZ2drh+/To++eQTAIC/vz/mzp2LdevWsdXaZcuWsS/8hNxpSqUSb7zxBiuMtnHjRiiVShQWFmLEiBFtXsDprJKSErz99tuQyWTg8XhYv349XFxcOnXszZs38cEHH7D7enp6+Oqrr2BkZNTt+RBCCCGE9Be0Yks6RalU4vfff8fWrVtZUOvv74/333+/U0EtAOjo6MDJyQmDBg3CoEGDYG9vDz6fj8DAQLafMCEhAcbGxnjkkUfYcd98841GfXEJ0abY2FgW1Pr5+cHJyQkuLi4IDg7WKKgFVCu+c+fOBaAqrPbjjz92Oh3f29tb7f6aNWsoqCWEEELIPYMCW3JbjY2N2LRpEw4dOsQemzJlCt5+++0u96ltC5/Px+TJk9n9EydOYObMmRg2bBgAoL6+Hps3b4ZcLtf4XIRo6siRI+z2jBkztD7+rFmzMHDgQABAZmYmIiMjO3Ucn8/HwoULYWpqiueffx7Ozs5anxshhBBCSF9FgS1Rk5aWhqNHj7IiOGVlZVizZg2uXr0KQPXledGiRXjqqacgEAi0dt4JEyZAV1cXAHDmzBlIJBIsXbqUFcRJT0/Hzp07tXY+QrojIyMDycnJAICBAwciICBA6+fQ0dHB4sWL2f0///wTVVVVaq9RKBTIzc3F6dOncfDgQRw4cABRUVHw9PTEV199hXHjxml9XoQQQgghfRm1+yFMRUUF1q9fD6lUiosXL+LBBx/EV199hdraWgCAgYEBXn31Vfj7+2v93EZGRggJCUFUVBQaGxsRHR2NyZMn49VXX8WaNWsgl8tx5MgReHt7Y+TIkVo/PyGd0XK1dvr06eDze+baoI+PDyZOnIhTp06hsbER27dvxyuvvIL8/HwcP34c0dHR7VZN1tXVRXBwMMLDw9WqLhNCCCGE3M2oeBRh/vzzTxw4cIDd5/F4rPKrnZ0d3nrrrU7vp+2O7OxsrFixAoBqNezjjz8Gj8fD8ePH8csvvwAARCIR1q9fDzs7ux6bByFtqaiowKuvvgqlUgljY2N89dVXLMugJ9TW1uLNN99EfX09AGDYsGGIi4vr0hjjx4/HE088QXttCSGEEHLXo1RkAgCQSCSt9vI1B7W+vr5dKhLVXS4uLvDy8gIAFBQU4ObNmwCA8PBwjBkzBoBqv+/mzZshlUp7dC6E3CoiIoIVcpo8eXKPBrUAYGJigvnz57P7LYNauYBD7kA5rvpJcHZUE86OakJcgATZjnJIdf67VnnmzBksX74c2dnZPTpXQgghhJA7jQLbu5BcLkdVVRUqKiraTVe8VXR0NGvDc6spU6b02orPlClT2O2IiAgAqpXjZ555hgXWOTk52LZtW6/MhxBAdUHl5MmTAFR7YFsWO+tJXl5eanvZ5QIO13yl2DdDjHOjJEj2kiN/oAL5AxVI8ZDj/AgJ9s8Q40qghAW4lZWVWLduHQW3hBBCCLmr0R7bu0ReXh6ioqKQkpKCvLw8tQrCNjY2cHNzQ3BwMIYNG9ZqXyDHcfj333/bHXvLli3w9/eHvr5+j82/2ciRI2FmZobq6mrExsYiMTER8fHxUCgUeP7557F+/XpIJBJERUXB29sb48eP7/E5EXL69GmIxWIAwNixY2Fqatrj55RKpfjss89Ye61qEyXOjm5CvVHHu0fkOkCauxz5AxQIuaQH60oBxGIxNm3ahI8++ggGBgY9PndCCCGEkN5GgW0/l5+fj23btiExMbHd15SWlqK0tBQXLlyAlZUVHn74YYSEhIDH4wFQpSs29+VsS1NTE5qamnolsNXR0UFoaCj27t0LpVKJ9evXs+cGDBiAp59+Gt999x0A4Oeff4arqyscHR17fF7k3qVUKlsVjeoN//zzDwoKCgAANcZKRI5vhLQL2c+NBhxOjW1CaLQ+rCoFqKiowO+//45nn322h2ZMCCGEEHLnUCpyP8VxHA4dOoQVK1a0CmpNTEzg4OAAJycnWFtbq6UylpeX49tvv8Vnn33GitKcOnWqzXPY2tpi/PjxeO+992BmZtZTb4XhOA4RERHtzkcqlWLcuHEIDQ1l97/44otOp1sT0h1XrlxBWVkZAMDf379XLqRUVVWxvtEKHodzI5u6FNQ2k+sAMSMkkP1/WnJUVBQLlgkhhBBC7ia0YtsPcRyH7du34+jRo+wxY2Nj+Pj4wM3NrVVRG6VSiaKiIiQnJ6OwsBAAEBsbiw8++ADvvvsuZsyYgaysLAiFQowaNQp+fn7w9vaGubl5r76v69evd7h31tDQEACwcOFCZGZmIicnB0VFRfjxxx/x0ksvsRVoQrTp8OHD7PaMGTN65ZxRUVEsBTnFU4Ya0+4Xr28w5HDDR4ahN1T/Lpw4cQILFy7UyjwJIYQQQvoKCmz7oYMHD6oFtYMHD0ZgYCB0dNr+dfL5fAwcOBADBw5Ebm4uLly4AIlEgry8PHz66adYtWoVfv31116affusrKzA5/NZ5dlbNQe2urq6eO2117BixQo0Njbi/Pnz8PHx6bWCPv1FRUUF4uPjkZmZicLCQkgkEujq6sLOzg6urq7w9/entkm3kZ6ejtTUVACqFlQBAQG9ct7o6GgAgBIc0tzkt3n17WW4yOB/UwgdBQ/nzp3DggULeqwHLyGEEELInUCBbT+Tk5ODXbt2sftjxoyBh4dHp493cnKCmZkZjh07hsbGRqSnp+PAgQOYN29eT0y3SxwcHPDWW2/hyy+/bDO9uDmwBVRp0s899xy++OILAMD27dvh7u4ONze33ppun9X8O42NjUVbbaqTk5NZure/vz9mz54NPz+/Xp5l/3Dram1vZAXU19ejuLgYAFBhoYTYQPNW4zJdoMRagYHFOqivr0dpaSld1CCEEELIXYUu2fcjHMfhp59+YimKfn5+XQpqm5mYmCA0NJR9Sd+7d2+HxaN6U2BgIFavXg1LS8tWz91azXXkyJGskI9cLsfmzZtRUlKCr7/+Gi+88AIuXbrUK3PuK6RSKXbs2IHVq1fjypUrbQa1t0pISMCHH36IrVu3sqq/RKW8vJx9hkxMTBASEtIr583NzWW3q8zazl7ojsoWY+Xk5GhtXEIIIYSQvoAC234kPT0d6enpAABTU1ON0iItLS0xePBgAIBCocCJEye0MkdtcHJywvvvvw8XFxe1x1uu2DZ77LHH4OnpCQAoKyvDsmXLEBMTg+rqauzfv783ptsn1NfXY926dTh8+DALaMX6SiT4SHFifCN2zW7AzrkN+HtOA45NaMQ1XynqDP8LdE6dOoVVq1ahsrLyTr2FPiciIoKlxYeHh7fau95TWvaTFos0X61lY7VY+W0uHEcIIYQQcregwLYfOXnyJLvt6+urVu24OwYPHsz22Z06dUqt9+2dZm5ujlWrVsHBwQEAIBQK2yxmpaOjg5dffhl6enoAVKuWzW7t53u3kkgk+Pjjj9lFDwWfw1U/KQ5Ma8SNwTKUWSkhFwLgAQodoMJSiZveMvw7pRGXhv5XMbewsBDr169HXV3dHXw3fUNjYyP7exMKhXds/7Y2E595LWJk2l9LCCGEkLsN7bHtR5KSkgAAAoEAzs7OGo+nr68PR0dH5OTkoKGhAXl5eXB1ddV4XG3R19fHxo0bce3aNbi7u4PH46G4uBhZWVkoLCyEVCqFQCBAYmIiJBJJq+PlcjkKCwvh5OR0B2bfe/7++28W1DbpcYgKaUJ1Z1JYeUCGqxzFNgqERuvDuIGPoqIi/Prrr3j55Zd7eNZ926lTp9g+77Fjx8LU1LTXzt3yAo5xvfZC25ZjHT16FKWlpfD09ISHhwdMTEy0dh5CCCGEkDuBAtt+or6+nvXStLCwaLcCcldZWVmx/XZZWVl9KrAFVCtLPj4+OHPmDCIjI7vcgzM7O/uuDmxTU1NZhWw5vwtBbQsNhhyixjZhapQIelIezp8/j9GjR2PEiBE9MeU+T6lUqlUdb97H3VucnJxYdXCLKs2yMlpqOVZeXh7y8vLY/QEDBsDT05P95+DgQKu6hBBCCOlXKLDtJ1rufdTm6lHLscrLy7U2rrZcvXoVP/74I6qqqrp1fHZ2NsaPH6/lWfUd+/fvZ3tqE3ylXQ5qmzUYcogNkCD4ij4AVUGx4cOH35O9ga9cucIuIgUGBrJ0+N6iq6sLFxcXZGZmwqyWD/NqvsZFpAwbeLApbz9QLSoqQlFREc6cOQMAEIlEcHd3h5eXF1vVbWuPOyGEEEJIX0GBbT/RXAkZ0O7+uJb7dNvrH3snKJVK/P777zhy5Ija4zY2NrCzs4OFhQV0dXUhk8lQVVWF0tJSFBYWthrnypUrePLJJ3tr2r2qrKwM165dAwA0iJRIcddsP3GOowI+6QpYVAuQnZ2NjIyMblXd7u9ubfGjbRcvXkROTg50dXWhp6cHPT096OrqQqFQwMDAACNGjEBoaCgyMzMBAD6pQpwf2TrVviu804XgtbFj19zcHLq6uigvL1f7N6axsRE3btzAjRs32GMDBw5kK7peXl4YMGAAreoSQgghpM+gwLafEIlE7HZTU5PWxm3ZL/bo0aNITU2Fk5MT+8/BwQH6+vpaO19ncByHbdu24fjx4+wxe3t7DBs2rM0CUs0ranV1dbh27Rqys7PZcxUVFVAoFCyAr6qqQmxsLDIzM5Gfn4+mpiYIBAJYWVnBzc0NgwcPhpeXV79Yqbx69Spbrc1wkYPTNMbgAWlucoyKU/2s4uLi7rnANi0tDampqQAAR0dHrff3TU9Px+bNmzt8TWhoKBYsWICdO3dCLBbDJV8HOY5yFA5QdHhce6wq+PDKaPuf+uZMCCMjI/j7+8PKygolJSVITU1FdXW12msLCgpQUFDAeiAbGBiopS+7u7u3aslFCCGEENJbKLDtJ2xsbKCnpweJRIKKigqtjdsyxVkqlSI5ORnJycnsMR6PB1tbWxboOjo6wtnZGVZWVj22WnP69GkW1PJ4PIwYMaJTwaaxsTHGjRsHJycnnDt3DgqFAhzHYd++fRgxYgT27t2LK1euqK1MNcvJyUFsbCwAVUAzffp0jB8/vk+vSGVlZbHbxTbdC3puVWL93zgtx79XtMwQmD59utYvcHTmItG5c+fw2GOP4YknnsDWrVsBAKNj9RA5rhE1pl1r/2PYwEPIRT22WmtnZ4fi4uJWr6uvr8f58+cBqCquP/nkk3B2dkZWVhbS0tKQlpaGnJwctb8dsViM69ev4/r16wBUf6sODg4sfdnT0xN2dnb94iIRIYQQQvo/Cmz7CT6fDxcXF6SkpKChoQFVVVVtrl52BcdxasWYzMzMWq3ScByH4uJiFBcX49KlS+xxkUgER0dHFug2B70tV5a7o6KiAtu3b2f3x4wZA3d39y6N4ezsDKFQiJMnT4LjOPzzzz/Yu3dvq1RrDhwUAoCvBPjcf1++8/LysHXrVpw9exZLliyBra2tRu+pp7T83VWbaieNvMGAg1TIQVfG63Khrv6urKwMFy9eBKDaex4SEqL1c9jY2MDExAS1tbXtvkYqleLYsWOYO3cuLl++jKtXr0JPykPYGREuDZMgf2DnLmLYlfAxKlYPBk2qizNeXl5YtWoVUlNTsWfPHiQmJrZ5XGJiIhITE2FiYoKJEydi+vTpWLhwISQSCbKyspCamsqC3Zbvg+M4VpQqMjISgOpik4eHB0tfdnNz6/UMEEIIIYTcG3hccy4j6fMiIiKwbds2AKovqaNGjdJovKKiIpw4cQIA4OPjg1WrVqGurg55eXnIzc1l/+Xl5UEmk3VqTBsbG7VUZicnJ9jY2HR65fPnn39mc3Jzc9MouIiNjWUtkpo16imR4SJHkZ0CVaZKKHQAcKpWKFYVArjn6MC64r99x4aGhli+fHmXg+uukMvlaGhoQENDA+rr69Vu33r/1v9VKpVQ8Dn8fb9Ya/OZfVQEIzEfJiYm2LJli9bG7et27NjB9tc++OCDmDdvntbGrqurw4kTJ3Ds2DHU1NR0+Foej4fPP/8cNjY2aGxsxIYNG1g7JwDIs5cj2VOGcgtlm41uzav48E4XwjXvv+uW1tbW+OCDD9Ta+ty8eRN79uxp9TfS1nwCAgIwadIkDBs2jKX1cxyH0tJSFuSmpqYiNzcXHf1fCp/Ph5OTk1oKs42NTZ9f1a2oqEB8fDwyMzNRVFQEuVwOoVAIOzs7uLm5ISAgAJaWlnd6moQQQsg9jQLbfkQsFuPFF1+ERCIBj8fD9OnTu/1lSqFQ4NChQ+xL9ksvvYTg4OA2X6tUKlFcXKwW7Obm5na6irKenl6bq7u3VlkVi8V46aWX0NTUBB0dHcybNw96enrden9KpRJRUVGsoJSSxyHJS4ZEHxmUt+mgYlvKx8g4PRiJVcG4gYEB1qxZ02F1XI7jIJFIOgxG23q8oaFBbZ9zd3BQBbZKLWVNzz1kAH0JDxYWFvj666+1M2gfJxaL8fLLL6OxsRFCoRBfffWVVnq7FhcX48iRIzh9+jSkUmmnjnn66acRHh7O7jc2NuK7777DlStX1F7XIFKiwlyJBkMlOB5gKObDoooP44bWHwRDQ0Ns3LixzX8vEhMTsWfPHrUtCO2xsLDAxIkTERoa2uZYTU1NyMjIYMFuWloa6uvrOxzT1NRULdB1c3ODrq7ubefSG1JTU3Hw4EHExcV1GLDzeDwEBQVh1qxZ8PLy6sUZEkIIIaQZBbb9zD///IPdu3cDAExMTDBt2rQuB38cx+Hy5ctISUkBALi4uOCDDz5Qq5DcGQ0NDW2u7koknavgamVlpbayW15ejj/++AMA4OnpidGjR3dpPi0lJSWxPbMyHQ6nxzShzLrz6bo6MmD8eX3Ylqt+Jubm5pg4cSIaGxvbXDltaGhoc+9uTxCJRDAyMmJzAYCjkxo1bgkDAPpNPMw9rCoANHjwYLz33nsaj9kfHD58GDt27AAATJo0Cc8880y3x+I4DqmpqTh8+DCuXLnSKiCysLBQ29ve0uDBg/Huu++2WsHkOA7nzp3Djh07OkxjvpWNjQ1KS0sBqLI83nvvvTZ7YHMch8TEROzevZsVz2omEAhafbZ5PB6GDRuGSZMmITAwsN2MDI7jUFRUpBbo5ufndxgkCgQCODs7s/RlT09PWFpa9uqqblNTE/766y9ERER06Tgej4epU6fikUce6fZFOUIIIYR0DwW2/YxcLsfKlSuRk5MD4L8VlM72mFQqlYiNjWWrMwKBAOvXr4eTk5NW5qdUKlFaWtpqdbf5y3VnTZo0CQMHDuzWHOrq6nDw4EFV8ShwiBrbhBKbrgd9OnJg8ikRzGq1X0BKIBDAyMgIRkZGMDQ0hKGhIbt962Mt7xsaGrILEIcOHcLvv/8OAIgNkCDVQ7N2PwDgmC/A2EuqPZAzZ87E/PnzNR6zr1MoFHj99ddZBsInn3zSrc+eQqHA5cuXcfjwYbXUYUDVm9bZ2Rk5OTntrtzq6urio48+6nBPt1QqxcWLF3H69GlkZGS0uogkFAphZWWFoqIiAKp/H3g8His4N2vWLDz++OPtjs9xHBISErB79+5W70EkEqGpqalVUGplZYVJkyZhwoQJndr3LxaLkZGRwfbqpqenQyzuOJXe3NxcbVXX1dUVQqHwtudq+b46GxjX1tZi48aNatXVxfqqLQwl1gpUmyohF6oufpnV8GFbJoB7tg7bywwArq6uWLZsmVZW/QkhhBDSORTY9kPFxcVYu3YtSyMWCoUICgqCm5tbh6uuzcVxmlt8AMCSJUswceLEnp4yxGIx8vPzW63utpeG+9BDD3W7yMylS5fYanSKuwxxgZ1LAW2LeRUfU07pqxWXakkkEnUYjLb3v3p6ehqvQOXl5WHZsmUAgGoTJY6ENba557IrQs/qw65M9Rlavnw5AgICNBuwH7hw4QK+/PJLAMCQIUPw9ttvd+n4pqYmnDp1CkeOHEFZWZnac6ampggICEBycrLac0ZGRpgwYQIOHz7MAsUnnniiS31zlUolioqKUFtbC47jYGxsDHt7e/D5fGzYsIH1oA0JCcGFCxfYqusbb7yBoKCgDsfmOA7x8fHYvXs3MjIyWr0nhULRKsVYIBAgKCgIYWFh8PX17fS+eqVSicLCQrW9um31pG5JR0cHrq6uaqu67QXVJSUlWL9+PQwNDbF06VI4Ozu3O25jYyPef/99duFQLuAQ7ytFqlvH7bR4SsArQwcBibrQUar+CF1cXLBq1SoqlkUIIYT0Egps+6mCggJs3LhRrfWPvr4+XF1dYWlpCVNTU/B4PDQ2NqKiogJ5eXlqr+Xz+Vi8eDFCQ0PvxPQBqL7QlpeXs0D38OHDEIvF4PF4eOKJJ7o1pkwmw549eyCTySAXcNg3XQyZhtv1Rl/WY4V45s6di5CQEBgZGcHAwKDNtM7etHbtWhbEx4xoQo5j99OhbUv5mBStqmpta2uLTZs29el2R9qyatUqtjq5YsWKTveuraqqQkREBE6cONFqxdHR0REhISFISkpCfHw8e5zH42Hy5Ml48MEHYWRkxLYWBAYG4q233tLaz7u4uBjLli2DTCYDn8/HzJkzcfDgQQCq/bYffvghrK2tbzsOx3G4du0a9uzZg8zMTLXnbG1tYWBggOzs7FaruLa2tmwVtzurlvX19UhPT2eruhkZGbft321lZQUPDw8W6Do7O0NHRwe///47Dh06BEC13//555/HyJEj2xzjhx9+QFRUFADVKm3U2CbUmnT+/yJNa3iYeE6frd6GhYVh8eLFnT6eEEIIId1HgW0/Vl9fj+3bt+Ps2bNdOs7R0RHPPfcc3Nzcemhm3fPee+8hMzMTPB4P8+fP79aKZkFBAU6ePAkAyHSW4WJQ91drm1lV8DH5tCrgGzVqFF599VWNx9SW2NhYbNq0CQAg0eVwJKwRjaKu/0kLpcC0kyJWMGvx4sUICwvT6lz7otTUVKxZswYA4OTkhA0bNtz2c5ebm4tDhw4hJiam1d5Tf39/TJ48GampqThy5Ija84MGDcLChQtbpf3X1dXB0NBQ6xcRWu7Hd3d3h4WFBS5fvszur169Gjo6OqioqICxsXGHBZs4jkNcXBz27NmjlqILqH5u9vb2uHnzZquKzzo6Ohg5ciTCwsLg4+PT7SwFpVKJ/Px8tVZDbfXjbUkoFMLd3R0lJSVqWSqA6gLVAw88oPYzT0hIwIYNGwCo9uVHhDaizrjrf0smtTxMiRJBqFC913fffRe+vr5dHocQQgghXUN9bPsxIyMjPP/88wgNDUVERASuXLnSYQEjFxcXTJ48GWPHju3S/rTe0pxKyHEc6urqurXS07IoT7G1doo5VVgoIRdw0FHwkJWVpZUxtSUoKAijRo3CxYsXoSflITRaHyfHNqGpC8GtUApMiNFnQe2gQYPu6Ep+b2pu7wMA06dPbzfwak7NPXz4MBISEtSeEwgECAkJwfTp05GXl4eff/5ZrR+0hYUF5s+fj9GjR7c5vrGxsXbezC1mz56Nc+fOoaioCBkZGQgODkZOTg5KS0uRkZGB7du3Q6lUIjIyElZWVvj444/bTZttrvo7bNgwxMbGYs+ePSxdtznjwt3dHaGhoUhLS2M9cuVyOWJiYhATEwN7e3uEhYVh3LhxMDIy6tJ7aW4T5OTkxCpG19bWqhWlyszMVNtzLJPJ2q30vHfvXqSkpOD1119n9Qn27dvHnr/qJ+1WUAsAtSYcrvtJMfy6HhuXAltCCCGk59GK7V2ktrYWGRkZyMrKQmVlJTiOg4GBAZydneHm5oYBAwb06X6RLVeYQkJCurWiHB0dzYLPQ+HiLqURdmRylD6sqlR7T7dt29anLgzU1tZi5cqVbA9no54Sl4dKUWB/+8DepoyPUbH/tTYyMTHB2rVrOyxgdLcoLS3F66+/Do7jYGpqii+//LLV71UmkyEmJgaHDx9GXl6e2nOGhoYICwvD1KlTUV1djW3btqlVFNbR0cGsWbMwZ86cO7bPMjExEevXrwegalv16quv4pNPPoFc3rrQ2LJlyxAYGNipcZVKJa5cuYI9e/a0+rl4eXlh0qRJyMvLw+nTp1vtxRUKhRgzZgwmTZoET0/PNv9N4jgOHMeBz+ejsbEReXl5aGhoAJ/Ph7m5OQYOHNiqnoBCoUBubi4uXbqEhIQEFBYW3jZ92dDQEFu3bkVBQQHbW11rpMShyRruV+eAWcdErPVSdwuSEUIIIaTzaMX2LmJiYoKhQ4di6NChd3oq3eLt7c1uZ2RkdCuwbbliLdfip1vWIt6RyWR9KrA1MTHBihUrsH79epSXl0Mk4WP8BX2UWiqQ7iZDibUCTS3iKl0pYFMmgEeWDgaU/vdDMjY2xvLly++JoBYAIiIi2N7QKVOmqP1O6+vrERkZiYiICLXVVwCwtrbGjBkzMGHCBEilUvz999+IiopS22caFBSEJ5544o7/LH19fTFu3DicPXsWYrEYZ86cwbhx49g+0pZycnI6Hdjy+XyMHDkSw4cPx+XLl7Fnzx7k5+cDUKV3p6amwsfHB0899RS+++47tb9LmUyGM2fO4MyZM3ByckJYWBhCQkJgYKBqM1VeXo41a9agqakJRkZGKCsra7WHVygUwtPTE6GhoRg5ciQEAgHOnz+PiIiIVsWuOtLQ0ACxWIy4uDj2WLqbTOMibOCpxhmaoFq1jYuLo8CWEEII6WEU2JI+Y9CgQbC1tUVJSQmKi4tRXl4OKyurLo3RchVHR/PuN22OdacLRrXF1tYWa9euxY8//oirV68CAGwqBLCpUP08GvWUkAlV76NlW5Jm3t7eWLp06R0PxHqLWCxmwZ1QKGT7iUtKSnDkyBGcPn26VSsdDw8PzJo1C8OHDwfHcThx4gR27dqlVjhqwIABePLJJzsdIPaG+fPn4+rVq6ivr8e5c+fafV1ubm6Xx+bz+Rg1ahRGjBiBS5cuYc+ePSgoKAAAJCcnt5kKrKenx362ubm5+OWXX/DHH38gODgYEyZMwK+//sq2FLTXBkgmkyEpKQlJSUn47bffYGpqygLrzuLxeBg5ciQMDQ3VCmMV2WhnC0Nxi3H62hYGQggh5G7U976hk3sWn8/HlClTsH37dgBATEwMZs6c2WELo1u13K9oVstHrYkWvqRyYL1sraysOiyycyeZm5vjzTffxLlz57B//34WYACASMKHSNL6GGtra8yaNQthYWH3RAXkZlFRUSxNdfz48SguLsbPP/+My5cvq60O8ng8DB8+HDNnzoSXlxcA4ObNm/j111/VUnD19fUxb948TJs2rc9d+DAxMcFjjz2GH374ocPXNe+Z7Q4+n4/Ro0dj5MiRuHDhAvbs2cN66d5KKBTioYcewoULF1g1aolEgqioqDZXki0tLWFhYQGRSASO41BbW4vy8nI0NDQAUBXfqqurY683NzeHm5sbrKysYGxsDD6fD7FYjIqKCuTm5rK/C47jcPHiRRw8eJA9Judz3d5be6saYw4KHgcBx1P7WySEEEJIz6A9tqRPkcvlWLVqFau86uzsjLFjx3Y66MrPz2dfjtNcZbgyVPOqyBZVfEyNUlVFFgqFCAkJwejRo+Hr69uloLs3cRyHmzdv4urVq8jKykJBQQGkUimEQiHs7Ozg6uqKgIAABAYG3pUBbXV1NVJTU5GVlYWqqioolUqIRCI4OzvDxcUFn3/+OWt/5ezs3Cqo09PTw/jx4zF9+nTY2dkBACoqKvD777/jwoULaq8dN24cHn300Xb7qPYFSqUSH3zwAWsN1RYej4dffvlFKxdulEolPv74Y7VWRy05Oztj3bp1yMvLQ2RkJM6ePQup9L+/VT6fDx8fH3h7e7dZaIrjOKSmpqpdiDA0NMTo0aNvW0ugtrYWFy9eVKuqbGhoiIaGBjTpcdg7s+1V4u6Y968B9KQ82Nra4vPPP9fauIQQQghpjQJb0ufk5uZi5cqVkMlkAAA7OzsEBwez6qUdqaurw/79+8FxHGQ6qj62cg23w46M1YV7TutBjI2NMWLECIwZMwaDBg26KwPE/iYxMRFHjx5FXFxcq32ZnWFqaoqpU6ciPDycBVRSqRSHDx/G/v371dKTXV1dsXDhQraS29fl5+fjnXfegUKhAI/HA4/Hg1KpVHtNR318m1/bmc95fX09XnzxRfY33JaQkBC8+OKLEIvFWLZsGbvQYGpqinHjxnV4oUAmk+HgwYNs1dbe3h7jx4/v9N53juOQkJCA69evq48r4LB7jljzPbYAwAEPHTCAjoKHgQMH4pNPPtHCoIQQQghpT9/KmSMEqr6Yr7/+Oj7//HPIZDIUFxfj4MGD8PHxgaenZ5sBblNTEzIyMpCUlMQCGqGch8GpQsT7tv/l+nZManlwyVP9mejo6IDP57OVpbq6Opw8eRInT56EiYkJRo0ahdGjR8Pb25uC3F5WV1eHbdu2ISYmplvHOzg4YMaMGQgJCWHBUXPv1u3bt6O0tJS91tjYGI8++igmTJjQr37PDg4OmDlzJg4cOACO4+Du7g57e3ucOXOGvaZlu6zS0lKcOXMGaWlpyM7OZum+BgYGcHFxgYeHB8aOHQsHB4dW56qtre0wqAXA9rX+/vvvLKg1NzfH5MmToaen1+GxcXFxLKi1trbGxIkTu5Q9wePxEBAQAIVCgRs3brDHhQoeDMU8NBhqfr3XqIEHnf/vZdu86k8IIYSQnkMrtqTPunnzJr755hu1L9uAas+ghYUFdHV1IZfLUVVVherq6jZX6JQ8DifGN6HCUtnqudvhK4Dw0/qwrFZ9YZ4zZw7mzp2L69ev4/z587h69apa+mQzMzMzFuR6enr2q+CnPyooKMCGDRvUPicikYjtszQxMWFtYyoqKpCXl6cWqALAggULMH36dHa/sLAQ27dvV1vR4/P5mDx5Mh544IEu92HtKyQSCd5++23WGur555+Hq6srfvnlFxgbG+OVV15BSUkJduzYgWvXrnVq1Xvw4MGYP38+XF1d1R4/e/as2oUmjuOgVCpRWloKhULxf+3dd1hU1/o24GdmGHqTKiBVQOwSRAFFxd7QaExiqikaTY/px/TEJCcmOennpCemaaIm9hILKigIKhps9A7Sq5Rp+/uDj/1jpMMgDDz3dZ3rwJ6ZzZphJPPstdb7YtWqVdBoNHjppZcANFw4Cg8Pb/e1rampwZ9//glBEMSWSl3tBazRaLBv3z6t905MQD3S3btfec4rwwATzzYE9GXLlmHp0qXdPicRERG1jsGW+rRr167ht99+w7Fjx5otm+yoekMBEZPqUDao44+XqYFJp4zgcrVhttbJyQnvvvuu1v7Duro6xMfHIyYmBufOnWtxhsrGxgYTJ05EcHAwhg4d2qf7COuj/Px8vPHGG6isrAQAGBoaIiAgAF5eXm1eUCgtLUVsbKwY8ABgxYoVCA0Nxfbt27Fv3z6tFjUjRozAvffeCzc3t557MjdIfHy8uCzW0tISH3zwAczNzSEIAvbv34/Nmzc3ey8bGRnBwsICEokE1dXVqK2t1bpdKpXi5ptvxtKlSzt1Iefrr7/G0aNHAQDjx4/H8OHD233M+fPnxb27o0ePxrhx4zr881pSUFCAv//+W/y+yEaNQ9Pa7n/bEU17Xz/44INi5W0iIiLqGQy2pBdKS0tx5MgRxMfHIysrSyt0SKVSyOVyrf2PgwYNgqWlpVgUSCUV8M9IBZK8VRDayZY2pVIEnTGCVVXDB3QjIyO88sorbfbVra2txdmzZxETE4Pz589DpWo+42NnZ4egoCAEBQXB09OTIbebri80ZmNjg7CwMLEfans0Gg3Onz8vLkWVSCQwMzNDdXW1eB9bW1vcddddmDhxYr/6fX388ceIjY0FAISFhWHlypX48ccfcfDgQfE+pqam8PX1haenJ8zMzLSef01NDTIzM5GYmKhVkXjixIl47LHHOrQsWKFQ4KGHHhKLmt1yyy0d2iO7e/dulJWVQSKRYMmSJR3ae98WQRCwa9cuVFRUiMeOhtQhf3DXK6o758swNdpY69jw4cOxePFijB49ul+9l4iIiPoKBlvSO0qlEoWFhaivr0dsbCz279+vtSR4+vTpuPPOOwEA77//vlYl2CozDVK8lMhzVKPKQhBDrlEdYFcqw9AMAzhflUHy/6vHGBkZ4dlnn8XIkSM7PL6amhqcPn0ap06dwj///KMVwhs5ODiIIdfd3Z0fdLvgzz//xNatWwH8X9Gn9vZmtuTs2bO4ePGi1jG5XI6FCxciPDwcxsbGrTxSf5WVleHZZ58VZ16nTJmitdfWz88P48aNazdoNu5RTUhIEJcch4WFYdWqVW0+7sSJE9i8ebO4t3bo0KEICQlpd9wqlQqbN2+GIAiwtrZGeHh4u4/piNOnT+Py5cvi9zXGGuybUQtF599OMKwH5h02abFfNNBQdGzx4sUYP348tykQERHpEIMt6aWrV6/i66+/xpUrV8RjdnZ2WLVqFUaPHi0eUygU2Lx5Mw4cONBsv6BKJqDeUIBMLYGxonmw9PDwwJo1a7q1/LS6uloMuRcuXGgx5A4ePFgMua6urgy5HVBTU4PHHnsMdXV1kEgkmDdvHmxtbbt0ruv3WXp6euKJJ56Ao6OjLofc5xw4cAAbN25sdnzSpEltrk5oSW5uLo4ePSpuF3j66acxfvz4ZvdTqVT47bffsH//fq3jEyZMwLBhw9r9OaWlpdizZw8AwMvLC5MmTerUOFuTlpaGEydOaB0rsVbj6OQ6KDrR/ciwHph24v/25Y8ZMwZBQUHYtWtXs76+Li4uCA8PR0hISJ/rfUxERKSPGGxJr2g0Guzfvx9//PGH1iztrFmzsHz5cpiYmLT4uCtXrmDbtm3NZuZaYmtri7lz52LOnDk6/cBZVVWF06dPIzo6GhcvXmyxMI+Li4u4J9fFxUVnP7u/+e2337B7924AgI+PD4KCgrp1vsLCQhw4cABAQ2Bav359t8fY12k0Grz88sviUm4AGDdunNaFoc5ITU0Vq1JbW1vjP//5j9Zsd3l5OT799FOti1GNZsyYAWdn53Z/RtPfk5+fHwIDA7s01uvl5ubiyJEjABpWaTRua6g21SD2pnoUOLS/P9+xUIqJZ4xgVtswC2ttbY3169fDxsYGGo0GcXFx2LFjh9brDTRckAsPD8fUqVN10kOYiIhooGKwJb2Rl5eHr7/+GklJSeIxe3t7PPTQQx1eKpyXl4e4uDikp6cjOzsbdXV1kMlksLe3h6enJ0aMGIGxY8d2qnVIV1RUVCAuLg4xMTG4fPlyiyHX1dVVnMl1cnLq0fHoA41GgzNnzmDPnj1a74GFCxe22fO0IwRBwJ49e1BWVgYA+PTTT2FnZ9etc+qDffv24eeffwbwfxd0uro8VhAEREREIDc3FwCwatUqhIWFAQASEhLw2Wefae1fbqqjwba4uBj79u0DAPj6+mLixIldGuv1srKycOzYMQDAnDlzEBMTo7XnNt9BhRRPFQrs1VA2yZ6GCsChSAbvdDmcCv/vb4a1tTXWrVvXrBWSIAj4559/sGPHjmYB38rKCvPnz8eMGTM6vE+ciIiI/g/XP1Gfp9FosGfPHmzdulWrWuucOXNw++23d2oPpLOzMxYvXtwTw+wUKysrzJw5EzNnzkR5eTliY2MRExODxMREMeRmZ2cjOzsbW7Zsgbu7uxhy+/sS2evV19fj+PHj2Lt3LwoKCrRuMzU17XaoBRoKR7m4uIjBNi0tbUAE26Y9XMeMGdOtPZ8SiQRjx44Vg+2hQ4cQFhaG6OhofPbZZ20+tqampkM/o2lbn/Ly8i6P9XpNz+Xj44P58+fjyy+/FPfdOhUawKmw4T+X10w0UMoBuRLi7GxTI0aMwOrVq2Fvb9/stsbXaOzYsbhy5Qp27NghtpSqqKjApk2bsGPHDsyZMwdz5syBpaWlzp4jERFRf8dgS31aTk4OvvrqK6SmporHHB0dsXr1avj5+fXiyHTH2toas2fPxuzZs8U2NDExMVqzkpmZmcjMzMTvv/8OT09PMeS29OG5pwmCgNLSUtTV1cHAwAA2NjYdqmbbWRUVFThw4AAOHTrU6kyfjY2Nzn5e0z262dnZmDBhgs7O3RdpNBpcunQJQEPf347MmLbH1tYWgwYNQllZGdLT03Ht2jWcPXu23ceVlJTA29u73fsZGRnBzMwM165dQ0lJCVQqlU62CzTta3zt2jUMGjQIL730EiIiIrBz506ttlBmtVKgtvk5HBwcEB4ejrCwsA5dIPDz84Ofnx8yMjKwY8cOxMbGQhAE1NTU4K+//sLevXsxffp0LFiwQKfvcyIiov6KS5GpT1Kr1di9eze2bdsmts5pLBJ06623dqn6rb4pKSlBTEwMTp06hZSUlBbv4+3tjYkTJyIoKKjLxZM6oqamBpGRkTh9+jTS09O1ZthkMhlcXV0xcuRITJ8+vdvLpnNycrB3715ERUU1a5s0cuRIBAYG4scffwTQ8PyDg4O79fMaNd2/GRQUhNtvv73HQntfkJubi+eeew4A4ObmhqlTp+rkvLGxsWIl8pdeegnu7u547733kJubi7q6lvvDmpiYdLgH7smTJ8ULXcHBwR0KxG2prq7GX3/9pXXM3NwcwcHBCA0NRVlZGT766CMADW3ElEollEol5HI5nJ2d4enpKe5N7s6Md15eHnbt2oWoqCitInMymQxTpkxBeHg4Bg8e3OXzExER9XcMttTnZGVl4auvvkJ6erp4zMnJCatXr4avr28vjqz3FBUVISYmBjExMVqvS1O+vr4ICgrCxIkTW12em5CQAENDww5VoAUaWitt374de/fu1eoT3JaAgADcd999nQragiDg4sWL2LNnj7g0s5FMJkNwcDDmz58PDw8PrUCmy8q4+fn5OHToULPjVlZWsLW1hZ2dHWxtbcWvbWxsYGdnB0tLS71s2xIfH4/3338fQMMy5LFjx+rkvElJSTh16hQA7X22giAgPz8fFy9exIULF3DhwgWx3RDQ8WrMTffZWlhYYOHChd2atW0alFtiamoqXsh55plnEBAQ0OWf1RHFxcXYs2cPIiIitArkSSQSBAUFYfHixd2q1E5ERNRfcSky9RkqlQo7d+7EX3/9Jc5YSCQSLFy4ELfccsuArhhqb2+P8PBwhIeHo6CgQAy5mZmZ4n2SkpKQlJSEn3/+GcOGDUNQUBAmTJgAa2trAEBcXJw483TXXXdhwYIFbf7MnJwcfPbZZ8jOztY6bmJiAhsbGxgZGUGtVqO8vByVlZXi3uAzZ87g0qVLuP/++zF58uQ2f4ZKpUJMTAz27Nmj9VwAwMDAACNHjsT8+fMxcuRIMTza2tpCIpFAEASd7rNsWizo+uMVFRVIS0tr8fbG5dhNg+/1Qbi1at29qelsuC6DedPCa01/hkQigbOzMxwdHSGVSpGcnKwVbM+cOQMXF5d2V2PY2dnBwcEBhYWFqKqqQnx8fJerI+fm5oqh1tjYGA8++CDOnj2L06dPi/v5m65O2L17N6qqqjBhwoQeK/BkZ2eHFStW4Oabb8b+/fvx999/o7a2FoIgIDo6GtHR0fD398fixYsH7IU+IiKilnDGlvqEjIwMfPXVV1rhxsXFBatXr+72UsP+LC8vD6dOnUJMTEyzAAo0hInhw4cjKCgIsbGxWsWC7r77bsyfP7/F82ZkZODtt9/GtWvXxPP4+PjA19e3xdng+vp6pKSk4PLly1ph5d5778XcuXOb3f/atWs4cuQIDhw4IPaPbYtMJoOZmRkWLlyIhQsX4rnnnkNubi6kUiluu+02nSwXjoyMFFuxTJo0CSqVCiUlJSgpKUF5eXmLlas7ytTUtNlMb9MAPGjQIJ3sFdVoNIiMjBRnuduq7r1t2zZs27YNQEPBI13NRF66dAlnzpwBAKxZswZTpkwB0DBje+rUKWzZsqVZT9dGzs7OmDZtWrtVySsqKrB7926xb25AQABGjBjRqXEWFRXh8OHDYoBduXIlpk+fDqAhzMbGxuLw4cMtzubK5XIEBgZi8uTJGD16dI9WUa+pqcHBgwexb98+VFZWat02YsQILF68GKNGjWL/ayIiGvAYbKlXqVQqbN++HTt27BBnaaVSKcLDw7F06dJ+u7+xJ+Tk5IgzuXl5eR16zD333IN58+ZpHSsrK8O//vUv8UP0oEGDEBIS0qECNgqFAnFxcVqzm08++aTYlqWoqAj79+9HREREs/2WXl5ekEgkbS4Llclk+Pnnn/H999+Ly4YnTpzY7Zmr+vp6bNu2DWq1Gqampvjf//6n9d5TqVQoKytDcXGxGHaLi4tRWloqHutoZd+WSCQSWFtbN5vpbRp+LSws2g0vTWflvby88NBDD7W4bFWj0eCJJ54QLyoMHjwYs2bN6vL4m4qKihKXy69fvx5eXl5ISEjA5s2bmy2jHz9+PObMmYOPP/5YvIji5OSESZMmtTvLnZiYiNjYWPF7Ly8vjB8/vt0ZX41GgytXruDcuXPi35yAgAA8/fTTzV7fAwcOYOPGjQAalj1XVVU1O5+VlRUmTZqEyZMnw93dvccCZn19PY4ePYrdu3ejpKRE6zYvLy8sXrwYAQEBerksnoiISBcYbKnXpKWl4auvvtKaaXR1dcXq1as7tNeOWiYIArKzs8WQe/Xq1Tbvv3z5cixatEh87AcffID4+HgADUugZ8yY0akLDIIg4Pz580hISADQUIjn0UcfxbFjxxAbGyvOsgENgW7MmDHw8fFBaWkp4uLiWgwPjTw8PPDOO+8gIyMD69atA6CbfZbx8fHibPa8efNwzz33dPocNTU1KC0tFUNvYwBuGoKvL4bVGXK5vNWlzo3/27FjB3bs2CE+RiaTYfHixbj55pu1Xp8zZ87gww8/1LrfsmXLur3cX6PR4M8//0RtbS0MDAzw8ssvY8uWLbh48aLW/fz8/LB8+XLxgsTly5fx3nvviXtKjYyMMG7cOHh5ebX6e7127RqOHz+O4uJi8ZiRkRF8fHwwdOjQZhcC6urqkJWVhcTERK0l7KNGjcKzzz7b4nN///33xX8L7777LpRKJSIjIxEdHd1ipW5XV1dMnjwZkydP1kkbqpaoVCpERUVh165dzWa+XVxcsGjRIgQHB+tkBQAREZE+YbClG06pVOLPP//Erl27xJDT2gdw6h5BEJCZmYmPPvpIq2XJ9ZYsWYJbb71Va8bP2NgYixYt6lIFakEQcPz4cWRlZbV4u4GBAYYMGQKNRoPs7OwOLfMNCQnBww8/LC77XL9+vdiuZvjw4Rg/fnynxwk0VJ/et28fBEGATCbD+++/3yPVZzUaDSorK7XCbtP/Ly0t7faeYQMDgxbDs4ODA1auXIlRo0YBAD7++GOt2U4ACAwM7HYLrczMTBw/fhwAxLY/Tbm7u2P58uUYM2ZMs5nNK1eu4KOPPtK6sGFoaAgnJydxn7IgCKisrERxcTEKCgrafN8YGhrCwsICUqkUNTU14oxwI4lEgjlz5uCOO+5o8cKNQqHA6tWrUV9fD2tra3zxxRfimFUqFc6dO4fIyEjEx8c3e80lEglGjRqF0NBQjB8/vlO9tjtKo9EgNjYWO3bsaLY/3d7eHgsXLsTUqVMHdG0CIiIaWBhs6YZKSUnBV199hdzcXPGYu7s7Vq9eDQ8Pj94bWD9WXV2NNWvWaM2UXs/JyQkffvihVlicOnVqt6qv1tbWYufOnVqVXQ0MDCAIglY7k6ZkMhmkUqm477HRrbfeiptvvlkrDOXm5mLdunXifSdMmNDhas+NKisrxeI8ALBs2TIsXbq0U+fQJaVSqTXr23Spc+Ox1lrmdMQDDzyAmTNn4rHHHkNpaalWEDYyMkJ4eHiXC10plUrs2bOnxRl3BwcH3HbbbQgKCmpzqWxFRQV++OGHZqG7LXK5HPPmzUNhYWGzFQGt8fb2xp133tlmkE9ISMC7774LAJgyZQrWrFnT4v2qq6sRExODyMhIJCcnN7vdyMgIEyZMQGhoKEaMGKHzpcKNKyR27NghtllqZGVlhfnz52PmzJl9soAZERGRLjHY0g2hUCiwbds27N69W5xlkclkWLJkCRYtWsRZ2h5UUlKCxx9/vNlxiUQCIyMjmJqaYs2aNbC1tcUzzzwDALC0tMSiRYu6vV+wsUJyW4YMGYLRo0dj1KhRGD58OH799VccPnwYQMN+65UrV2LatGktPnb//v346aefxO99fX1x0003dWjpdEZGBmJjY8U2Rt7e3nj11Vf79HtREATU1NQ0W+bc+HVSUlKbwW7ixIm4//77xZDm6OgIIyMjcWbdxcUF06ZN63T4EgQBMTExzfotW1hYYNmyZQgLC+vU65qamopDhw4hJiam1TZTtra2CAsLQ1hYmLjst6ysDMePH0dSUhLS09PFGXATExO4u7uL7aE8PT3bHcOvv/6KPXv2AAAef/zxDvVLzs/Px4kTJxAZGdniCgkbGxtMmjQJoaGhGDJkSLvn66wrV65gx44dzVpmmZqaYu7cuZgzZw4sLCx0/nOJiIj6AgZb0qmcnBzExcVh2rRp4ofNpKQkfPXVV1r7wTw9PbF69Wr2Y7xBTp06haSkJNjZ2cHR0RGOjo6wt7fXWqYYERGBb775BgDg7+8vLlvtjvLycuzatUvrmJWVlRhkR48e3WwvYkZGBl599VUYGhrisccew7hx41o9vyAI2LJlC7Zv3y4eMzU1hZ+fH7y8vJrNUqnVauTl5eHKlStae4/d3Nywbt06WFpadv3J9jKNRoMVK1a0OBtuYGAAT09PPPfccygvL8fzzz8PABg6dCj8/f2xa9cuMUB6eHggJCSkw5V+NRoNzpw5gytXrjS7zdTUFPfeey9CQ0O7dJFErVYjNzcXGRkZqKmpgVQqxaBBg+Dp6Sm2fWqLIAgQBKFLs6TPP/88cnJyIJFI8OWXX3YqEAqCgMTERERGRuLUqVMtFhbz9PREaGgogoODYWVl1enxtSU9PR07duxAXFyc1nJtIyMjzJgxA/Pnz+9QMTgiIiJ9wmBLOlNdXY2nn34a1dXVcHJywuuvv44dO3aI+xeBhg/Yt9xyCxYuXNijLTKo85pWGp41a5ZO9pkKgoDff/8dSqUSZmZmeOWVV+Dq6tpuIGkMMa3tTRQEAfHx8aiurkZoaCgOHz6MX3/9tdnsnpmZGaysrCCRSFBbW4vy8vJmM5oTJkzAqlWrYGZm1r0n28tUKhUeeOABcWmxTCbDuHHjEBoainHjxokXMXJzc/Hcc88BaAi2ISEhyMvLQ0REhPjaWFpaIjg4GA4ODm3+zLKyMkRHRzer0mtoaKi1BN3f3x8PPvhgr4WpvLw8rF+/HsbGxli/fn27PWibrnLw9vbGm2++2eWfrVAocPbsWURGRuL8+fPN3n9SqRRjx45FaGgobrrpJp3uic3NzcWuXbtw4sQJrQseBgYGmDJlCsLDw+Ho6Kizn0dERNSbGGxJZzZu3IgDBw6I35uammrNVAwdOhSrV6/ukSV41H0ffPABzp49C6Bhr6mu9uTt3btXDD6//PJLt/YYVldX48SJE9izZ49YDbex8FVBQQF++uknsYpte+zt7bF8+XIEBQX1mx6gx44dQ3x8PEaOHImgoKAWZxkrKyu1liLPnj0bAJCdnY3IyEitAGRnZyfOjjZWGa6urkZJSQkyMzNbrbi9dOlSFBYWIioqSjzW3dnb7mha3djPzw+vvPJKm2NounrhlltuwS233KKTcVRUVODkyZNaLZGaMjU1xcSJExEaGophw4bp7HUqKirCnj17EBERobV/XSKRIDg4GOHh4bC2tkZ9fT3kcjmsrKzYNoiIiPRO391MRjdMRUUFzp49i7S0NOTk5KCurg4ymQx2dnbw8vLCiBEjMHTo0DY/ZOXk5ODgwYNaxxpDrVwux7JlyzB//nzO0vZhTWeSdPmhtum5unIdTRAEJCcn4/Dhw4iJiWlWWKqiogJAQ0h77rnnkJ+fj6NHjyIxMRGZmZniLK5EIoGTkxO8vLwQHByMsWPH9rsP71OnTsXUqVPbvI+lpSVsbGxQWlqK0tJSaDQaSKVSuLq6Yv78+Th58qR4IaK4uFirnU5b57S2thb36g4bNgzLli3DxIkT8d1336G8vBw1NTX48ssvERMTg5UrV97Q2ducnBzx6ytXriAiIgLTp09v9f5N96iOGTNGZ+OwsrLCvHnzMG/ePOTk5CAqKgpRUVFiP+GamhpEREQgIiIC9vb2CA0NxeTJk7u9esLe3h733XcflixZgn379uHgwYOora2FIAg4efIkTp48qXV/ExMTuLq6oqqqCnK5HI899linLkgKgoDS0lKkpaUhNzcXCoUCBgYGcHR0hJeXFxwdHfvdvz0iIup9nLEdwHJycrB9+3acOnWq1Sq1jdzd3TFv3jxMnjy52QcSQRDw73//W+xb2pShoSFef/11VjzWA59//rn4AbdxBkcX/vrrL1RXV0Mmk+Hxxx+Hj49Pp3p8/u9//0NkZGSrt7/33ntwdXVt8TaNRoOamhpoNBoYGxuz9cn/98knn+DUqVMAgGnTpmm9fhqNBqmpqUhMTGzWrud6FhYW8PX1xdChQ7Fr1y7U1tZCKpXiyy+/hLm5OYCGWfaffvqp2eztPffcgylTpvT47G1ZWRkeffRRrWNyuRxvvPFGi3+XVCoVVq9ejdraWpibm+PLL7/s0RCm0Whw+fJlREZGIjY2tsWq1z4+PggNDUVQUJD4ujaO9euvv0ZVVRXuv//+dpeOA0B9fT02b96MQ4cOtft3v5GJiQn+/e9/w97evt1zR0VF4dChQ81aEDVlZ2eHmTNnYtq0aXq9r52IiPoWBtsBSK1WY9euXfjzzz9b7HkplUrFoivXGzlyJB566CGtDzgxMTH49NNPW/15S5cuxbJly3QzeOoxO3fuxObNmwE09IwdOnRot89ZX1+PP/74o9lxOzs7+Pr6wsfHBz4+PnBzc2uxaq4gCFi1alWLxXcANOsvSh0THx+P999/H0DDTPesWbOavYaNs26NVZcbA5eRkRFsbGxga2sLe3t7SCQSpKamihdFJkyYgKeeeqrZzzxz5ow4e9to3LhxPT57e/ToUXz99dfNjjs6OuLtt99utt/2ypUr4p7a4ODgFiuK95S6ujqcPn0akZGRuHDhQrO/wQYGBvD39xf3TR8/fhzffvstgIZZ2ddee63N1zItLQ2ff/55syXkJiYmGDRoEORyOVQqFcrKypr9m5PL5XjmmWdancG+ePEivv766zb7ZV+vN5enExFR/8NgO8AoFAp89tlnOHPmjHjMyMgI3t7ecHFxwaBBg2BoaAiNRoPKykoUFRUhJSVFazmiubk5XnzxRXh5eUEQBDzwwAOttuQAAC8vL6xfv75Hnxd134ULF/DOO+8AaKgS3N6S1o5oGnjaYmRkhKFDh4pB18fHR9wfGhERgW+//bbFCy1t9Rel1mk0Gjz99NMoLCwE0BDgvL29u3Su2tpararKL730EkaOHNnifVubvb377rsxderUHgk3TWenrxcSEoLHHnsMlZWV2Lt3LywsLJCfn48jR44AANasWYMpU6bofEwdUVZWJrYOys7Obna7ubk5DAwMtC4UuLi44JVXXmlxFvTKlSvYsGGDeIFCKpXCx8cHvr6+La7OqKqqQkpKChITE8Xl/xKJBE8++SQmTJgg3k8QBGzduhV//fWX1uNtbW3h5OQEGxsbyOVyqNVqlJWVoaCgoFmwDg4Oxpo1azrUpouIiKg1DLYDiEajwSeffIK4uDgADR9SRowYgTFjxrTbYzIvLw/R0dHiVXwzMzO89tprcHJywj333NPiYxr3VN1+++0YP368bp8M6ZxKpcITTzyB8vJySCQSLFmypFuVggVBwL59+8T9msuXL0dNTQ2Sk5ORmpqqVTW3JU5OTvDx8YG3tzf279+PvLy8Zvd55JFHMHny5C6PcSBrOmtrYGCAmTNntrvU9HoqlQpHjhxBQUEBgIbZ2ieffLLdgNrS7O3YsWOxcuVK2Nradu6JtEGtVmP16tWtzvgbGhri+++/xw8//CD2Tm5q5cqVCAoKareKck8SBAGZmZmIiorCiRMnxD3lrfHw8MDLL7+sNeb8/Hy8/PLLqK2tBdAQOidNmtShNkPXrl1DdHS02K5NKpXi1Vdfha+vLwBg06ZNWi29HB0dERAQ0ObvsaqqCufOnUNGRoZ4LCAgAE899RTrMBARUZcx2A4gBw4cwMaNGwE0tAIJCwuDk5NThx+vUCgQEREhzvJ4eHjgzTffxLFjxxAVFQUfHx94enrCzs4OdnZ2rKyph7Zs2SLOvLi4uCAsLKzLs2jJycmIiYkB0LBH+5133hHPpVKpkJWVheTkZCQlJSE5OblDRYqu97///U/nPUAHkq+++grHjh0D0BBuQ0JC4O7u3qHHVldXIyoqSlx6amFhgQ0bNnT491FdXY2ff/5Za/+0iYkJ7rnnHp3N3ra0v7aRubk5wsPDER4eju+++67FYAs0PK/XX3+9U38re4parUZCQgKioqIQExPTrHVQo8GDB+Ptt9+GiYkJNBoN3nzzTSQlJQEAnJ2dMW3atE4FSI1Gg+joaKSlpQFoWPa8YcMGxMfHa21DuemmmzBixIgO/+6ysrIQFRUl7vW9+eabcdttt3V4XAOFRqNBeXk56uvrYWZmxn3JREStYLAdIIqKivD888+LywWnT58OFxeXTp9HqVRi37594qzBbbfdhptvvlmXQ6UeIggCcnJyUFVVhWvXrqGmpgbXrl1Dfn4+8vPzsWDBAvj4+OC5554Tf7/jx4/H8OHDO/2zysrKcODAAXEJ4/PPP49x48a1+ZjS0lIkJyeLYTc9Pb3d4jZubm7i0mVfX184Ojpyr951BEFAfX19s57AKpUKf//9NzZt2qT1Oru5uWHUqFGtzrjV1dUhJSUFCQkJ4h59ExMT/Otf/+rScuazZ8/i22+/7ZHZW41Gg59++gmXL1+GpaUlLl68CAAIDAzEU089Jb5XDh8+jO+++67V86xduxaBgYHdGosuCYKAp556qs39rH5+fnj11Ve1npuFhQUWLFjQpSW/Go0GBw4cEC9AzZs3D1FRUaiqqgLQMFs/bNiwTp83Pz8fhw8fhiAIkEqleOutt+Dp6dnp8/Q3+fn5+PXXX5GcnIzq6mqtrRhSqRRWVlbw9/fH8uXLtQqKERENZAy2A8RPP/2E/fv3AwB8fX0xceLELp+rpKQE+/btgyAIMDc3x+eff85qs3qgaZ/alsjlcmzcuBGnT5/Gf/7zH/F4Z2dhCgsLcfToUfEiSlf3wf7999/48ccfxe9NTEzEpZStsbS01Aq6Xl5eA/q92XT7wfLly7Fo0SJx9m3Lli3i6ouWWFlZwd7eHpaWlpBKpaitrUVJSQkKCwu1ZgptbW2xdu1aeHl5dXmc1dXV+OWXX3D8+HHxmImJCe6++25MmzZNJxcrFAoFHnzwQajVari6uuK9994Tb0tNTcUrr7zS4uOGDRuGdevW9an9n4WFhS0W6GrKy8sLb731Fp5//nnk5uYCAGbPng1HR8cu/9yKigrs3r0bGo0GcrlcvHDV3T3558+fxz///AMAGD16NP71r391+Vz6rri4GBs2bNBqUdWesWPHYu3atQP6bx0REcA+tgNCfX29+IFRJpO1O3PWHltbW3h4eCA9PR3V1dWIjo7WSaEh6lmpqalt3t64J2/8+PFYvHgxduzYAaBhRi03NxeBgYFttumpq6vDxYsXcfnyZXF2wdvbG/fdd1+nx3r27Flx2TwA3HPPPZg7dy6KiorEpcvJycnIzMzUmsmorKzEmTNnxOJoMpkM7u7u8PX1Fasw63IPp65pNBpcuHAB//zzD9LT03H16lUolUoYGhrCxcUFnp6e8Pf3h6+vb4fC3s6dO8U99Vu2bIGVlRX279/frBVLYGAgfHx8sHPnTlRXVwNoCDHt7ecMCwvDXXfd1e09qObm5lizZg0mTpyIb7/9FmVlZaitrcU333yDU6dOYdWqVd3+vRkaGsLZ2RnZ2dnIy8uDQqEQg4CrqyukUmmzpb2urq545pln+lSoBRou4Li4uCA3NxcymUysUm1jYwOZTAZTU1PcfvvtSExMFEOtg4NDt0It0HCxw83NDRkZGWKolUqlWsWkumL06NFIS0tDdXU1EhISkJ+f3yeWft9oe/bswaZNm5q9D42MjGBtbQ0DAwMoFAqUlpZqrbI4f/48Vq9ejaeffhqjR4++0cMmIuozOGM7ACQkJODdd98F0HAVf9KkSd0+Z2FhIQ4cOACg9fYe1Lf8+eef2Lp1a4u3SaVSrF+/XuzrKQgCtm3bhj///FPrfg4ODnB2doaNjY1YPbu8vByFhYXIysrS+kDm5+eHZ599ttOhJyUlBevXrxeLSy1YsAB33XVXi/etq6tDamqq1l7da9eutXl+GxsbrVZDHh4e7RZP62kajQYRERHYvXu3WIipLW5ubrj55psxceLEVgNuamoqXn/99TaXc48cORLLly8XWzvV1dUhOjoahw8fRnp6eouVqK2trREcHIyZM2f2SPjoydnb//73v2JF5rfffltryevatWu1Xns7Ozu88cYbneq5fCMJgoCqqiqYm5u3Wstg+/btYrut7lS+biovL09rP7Ku/pty8eJFcUXJsmXLsHTp0m6fU5/89ttv2L17t/i9gYGB+DfK0tJS632v0WhQXFyMxMRErYt7EokETz31VJ9aNk9EdCNxxnYAaCz4ATQUFdEFOzs7yGQyqNVqpKen6+Sc1HOKioq0KpBeb9myZWKoBRo+IC1btgzDhg3DN998I+6rKywsbHP5KtDwgWzZsmVYsGBBpyuc5ufn4/333xdDbXBwMO64445W729sbIyRI0eK7WU0Gg3y8/O1gm7jjFWj0tJSxMTEiIWt5HI5vLy8tMLujSxIVVhYiK+++gqXL19udpuxsTHkcjkUCoVWS62srCx8+umnGD9+PB588MFm462rq8MXX3zRaqj19PTE8uXLm83uGBsbIywsDGFhYairq0NWVhZKS0uh0WhgamoKNzc3DBo0qEf3Mbc1exsTE4NVq1bBzs4OKpUKf/31F2pqanD77bc320PcEnd3dzHYZmZmagXbphXAjY2N8eKLL/bZUAs0/Bttr4hQ07/Nna143Ro7Ozut711dXXVyXldXVzHYNv1v1kBw4MABrVA7ePBghISEtFqVXiqVwsHBAQ4ODvDz88PJkydRWVkJQRDw8ccf4+2339b6e05ENFAw2A4ATduk2NjY6OScUqkUgwYNQnFxMYqKirSW9VHfUVdXh127dmH37t3i0sHreXh4YOHChS3eNnr0aGzYsAHHjh3DoUOHmoXEpszMzDB16lTMmjWrS0seKyoq8O9//1ssRjNixAisWbOmU5W1pVIpXFxc4OLigmnTpgFomAFMSUkRg25qaqrYyxNoKIiWmJiIxMRE8Zijo6PWXt3GpaodfR7GxsYwMjJq975ZWVl45513UFlZKR4bPHgwfH194eDgABMTEwANs3O1tbXIz89HUlKSeKHh9OnTyM7Oxrp167SCyzfffNOsV2gjT09PvPXWW+0+H2NjY7GlS2/w9/fHhg0b8Msvv4iVmxMSEvDCCy/g7rvvRllZmVjBW61W44EHHmj3nE0/7F+/HHvChAlIS0sTe7U6Ozvr7sn0ksZWWwB0VknX0NBQa9m2rpb2W1hYiPt2r//d9GcVFRX4+eefxe+9vLwQHBzc4b839vb2mDdvHg4dOoSSkhIIgoD33nsPX3zxBbsSENGAw2A7ADTtF6rL8Nn0XI37AKlvEAQB0dHR+O2331BaWioet7S0hLm5uXixQyaT4aGHHmpzKa6xsTHmzJmD2bNnIy8vD2fOnMHmzZsBNMyyzJgxA56envDw8OjyXsTa2lq89957YpVXV1dXPP300zrZ22hubo5x48aJe8s1Gg2ys7PFoJuUlNRsFrqgoAAFBQXi7J6xsTGGDh0q7tX19vZucTbl8uXLWL9+PUxMTPDoo4/C39+/1XEVFRVphVozMzMEBwe3uLxXIpHA1NQUQ4cOxdChQ5GZmYlTp06hvr4eBQUFeOedd/DWW2/B3NwcBw4cQHR0dKs/Nz09HdnZ2R1u69ObzMzMsHr1akyYMAHfffcdSktLxdnbprPGhw8fxsyZM+Hm5tbm+Zrefn14WrRoEYYNGwYbGxudzW72lOTkZHz77bcwNTXFmDFjMGbMGHh6ejYLMo3hUyqV9tgse+PFl+5qfI9XVFSgpKQEDz/8MIyNjWFiYgJTU1OYm5vD0tISVlZWsLa2ho2NDezs7GBvb9+h2fobLSUlBaampu1eIPnwww/F35ODg0OnQm0jQ0NDTJ8+Hbt27UJdXR0qKiqwefNm3HnnnV0ePxGRPmKwHQCahoPWZu26oum5enuPIv2fjIwM/PTTT7hy5Yp4TCaTYe7cuViyZAmKi4vx6quvQqFQYPHixR1esiaRSODi4qI12+nn54fZs2d3a7wqlQqffPKJuFTa1tYWL7zwQrcLErVGKpXC3d0d7u7umDVrFoCGWZOmRanS0tK03t+NhbEa28UADX1+my5fdnJywrFjxyAIAmpqavDBBx/g9ttvR3h4eLNQodFo8OWXX4qh1s7ODtOnT+/QLC/QsKTWzs4Ohw4dQmVlJQoKCrBx40Y8+uijYuGstjSdIdYH/v7+eO+99/Drr7/i6NGjAKC1/1cQBPz8889Yt25dmwGusrISpqamqKmpQVJSElatWgWZTAZbW1t4enrCz89PL1rNHD16FNnZ2QCAxMREbNmyBRYWFhg+fDjc3Nwwc+ZMWFpaiqFTo9Ggvr6+w++vtgiCoLWXXpdlOpqetyPFy5qSSCQwMDCAgYEBDA0NezUUHz16FF9//TWAhhUSa9eubbaEG2h4jikpKQAa/i51JdQ2MjY2xoQJE8S96YcPH2awJaIBh2lkAGi6r7asrAzW1tbdPqcgCGLfSRsbG518YKLuqaysxB9//IGIiAitD5vjxo3DPffcI84Eurm5Yf369SgtLe1SBU1drgAQBAHffvut2OrD1NQUL7zwgs6WzHeUlZUVAgMDxaIrKpUKGRkZWnt1m858A0Bubi5yc3MREREBoGFmuGkYFgQBmzdvRlZWFh566CGt1yoiIkLcU2tmZtapUNvIzMwMM2fOxO7du6FQKHDixAmEhITg/vvvx0cffQS1Wg0nJycYGxvDwMAAcrkcBgYGcHd3x6hRo7r0OvUmMzMzPPTQQ1CpVOJMelONxYcCAgKa3ZaUlIQtW7ZoXZjQaDRiobHKykqkp6fjyJEj+OmnnzBjxgwsXry4T84EAi1vKamqqkJsbCxiY2OxY8cO/PDDD3B1dRXfZ6WlpTop9nX9RZHKykqd7EVWq9XtFn5riyAIUCqVUCqVqK2t1WkotrCw0ArFtra2sLe3b/Xi24kTJ8Sv09PT8eSTT2LKlCl48MEHtS4C//777+LXnp6e3V4u7ubmBisrK1RUVKC2thZnzpxp8d8DEVF/xWA7ADSdgSgoKNDJjERpaalWu4dz585h9OjRnS4WRN2nUqlw8OBBbNu2DTU1NeLxwYMH45577mlxOeyQIUMwZMiQTv0cjUaDgoICrWW7MpkMgiB0eZnjli1bxBkGuVyOZ599ttPj6gkGBgbw9vaGt7c35s2bB6Bhv2JSUpIYdDMzM7WKMzW2ybneyZMnkZycjBdffBFOTk7QaDRahWKCg4O7fGHIzMwMgYGB4gfpPXv24OWXX8aGDRu6dL6+rrCwsM1l1t988w3GjBkjrlJRKBT4448/xL7bTcnlchgbG2sFXKDh97hjxw7ExMRg9erV8PPz65kn00GCIKC0tBQZGRni/5ruB2+JUqmEWq3W6i2ck5Ojk2B7fX/V4uJinQTbxiJlABAUFITw8HCUlJSgtLQU5eXlqKioQFVVFaqrq1FTU4Pa2lrU19dDoVBApVJBrVZ3efa4u6FYJpNBLpfD0NAQRkZGKCsra3b+Y8eO4eTJk1i2bBnCw8MBAJcuXRLvo4uK1RKJBN7e3uKqjRMnTjDYEtGAwmA7AAwbNgxGRkaor69HRkYGAgICur13MTk5Wfy6saG8lZUVQkJCMHnyZHh4ePRo5VRqkJCQgJ9++kmrqJOJiQmWLFmCuXPn6myJuFqtxmuvvdasWunOnTuxa9cu3HTTTVi7dm2nltEdPHgQ27dvB9DwgeyRRx7p9RDRFltbWwQHByM4OBhAQ3/otLQ0cfnypUuXUFtb2+Jji4qK8K9//Qvff/89Ll68KLaVGTx4cLfDhqenJxISElBZWYlLly4hJyenT1wc6Al5eXltti+qrKzEb7/9hhUrVqCurg4ffvih1iythYUFfH19MWTIEFhYWIh/o5RKJYqLi5GamorMzEzxIs7bb7+Nxx57DBMnTuzx5wY0BKDCwkJkZGQgPT1dDLKdWToul8tx//33Qy6X46abbhILMqWmpmLcuHHd+tuv0WiQlJSkdSwtLQ0+Pj5dPmfT8zQaMWIEPD09u3QRtrq6GsXFxR0OxY0XAboTilUqFVQqVav//hsplUps2rQJsbGxeOutt8RVIBKJRGdFuJruD2+rEj4RUX/EYDsAmJqaIiQkBBEREVAqlbhw4UKbRW3aU1FRgdTUVAAN/0Fu/EBQUVGBffv2Yd++fXBxcUFoaCgmTZqks/9g0/8pKCjAL7/80mw/5dSpU3H77bfrZLl5U4IgtNrWSRAEnDlzBkVFRR2uhnz69Gn8+OOP4vf33nvvDQsPumJkZIThw4dj+PDhAIBNmzZh165drd5fqVRCEARx2TUAnVQdlkgk8PHxEd8LCQkJ/TbYjh49GsuWLcOlS5dQVFSE0tLSZkFXqVRCo9Hgk08+EUOtVCrFuHHjMHz48BYvvsjlcjg5OcHJyQljxozByZMnUVRUBLVajc8//xympqZdWrbflsbWVE0DbEZGhtaqi9YYGxuLgawpb29vPPHEE+J+TnNzc4SEhODYsWNQKpU4e/Zst/6dXbp0SVyZ0HixtLCwEEVFRd0quFVTUyMGWyMjI4SEhHT5XObm5jA3N+9Su5uamhoUFRW1G4rr6uq6FYqzsrIANKy2ARouuOhqtVPT1l+NFeaJiAYKBtsBYv78+Th+/DjUajUuXryIIUOGdOmDiFqtxsmTJ8UlY/PmzcOwYcMQFRWF+Ph48T/Uubm52Lx5M37//XcMHz4ckydPxoQJE3qsINBAUVdXh+3bt2Pv3r3iaw00fKBdsWIFhg4d2iM/18DAAIGBgYiNjW3xdnd39w6/n5KSkvDZZ5+JHwbDw8MxZ84cnY21tzTOwl7P1tYWdnZ2WLhwIWQymdYFAgcHB5387KYXFPpzX2mZTIalS5di6dKlABrCYVlZGYqKinDp0iVoNBosWbIE+/fvx/nz5wE0hNYZM2Z0+P1paWmJ2bNnIyYmBqmpqVCr1fjf//6HDRs2wNzcvEvjVqlUyMnJ0ZqJzcrK0upN3BoLCwt4eHiIlcc9PT1hb2+P9957DwkJCeL9Zs+ejbvvvrvZKo2bb74Z0dHRUCgUSEpKgpOTU7vVo1tSWFgovqYSiQSzZs0Sl9SfPHlSfH93liAIOHXqlPj3LDQ0tNf+O2FqaioWluus2tpaMRR//PHHrRZqlEqleOSRR7SO6XILT9NzNS3GRUQ0EDDYDhAuLi5YsmQJtm7dCkEQEBERgZkzZ3aqSI9arUZkZKTYQ3Pw4MG49dZbYWRkhMDAQFRXV+PUqVOIjIwUl6sJgoBLly7h0qVL+OGHHzB+/HhMnjwZY8aM4X7cThAEASdOnMCmTZu09m9ZW1vjjjvuwKRJk3q8Z+HChQtbDbZ33nlnh35+Xl4ePvjgA/FD36RJk3D77bfrdJy9JTQ0FElJSWJ12uHDh8PPz09rBgWA2F+2sUCNLjSdoW+tf21/JJVKYWtrC1tbW3EZe1FRkVZRnqlTp3b6Ip5UKkVQUBBqa2uRl5eH8vJy/Pbbb3jooYfafaxCoUBWVpbWTGx2drbWhajW2NjYwMPDQyvI2tjYtLitY+LEiUhISICRkRFWrVrV6iyno6Mj7rjjDmzcuBEAEBkZiZCQkE4t883Pz8exY8fEoLRgwQLcfvvtuHTpEtLS0lBZWYmoqCiEhoZ26u+QIAg4d+6cuG/XysoKt956a4cf35eYmJjAzc0Nbm5uLb4GXl5euOOOOzBy5EjxWOOKp6aV5rur6bl00S6NiEifMNgOIIsWLcKFCxdw5coV1NfXY//+/fD394efn1+7+2FLS0tx8uRJMVQZGhrikUce0Sp6Y25ujhkzZmDGjBkoKCjAiRMnEBkZKc5kKZVKREdHIzo6GpaWluJ+XE9PT+7HbUNaWho2btyota/ZwMAA8+fPx+LFi3UWjtrj7e0NPz8/rTZCQMPy0I4s0ywrK8N7770nLmUcOXIkVq9e3eOB/EYJCAjoUKGWxlCvyxZZMpkMUqkUGo1Gpy299NHff/8tvgbDhg3r8h7mxvYrO3fuhFKpRGRkJG677Tatiwg1NTXIzMzUWkqcm5vboZkyBwcHrQDr4eHR7CJIW8LCwuDl5QUbG5t2q+nOmjULKSkpOHHiBDQaDaKiopCTk4ObbrqpxX7Mjerq6vDPP/9oFasaNWoUbr31VshkMqxZswYvv/yyGOYPHz6MkJCQNs/ZSKFQ4PTp0+K2FgBYuXIlLCwsOvDs+7YxY8YgLi4OhoaGCAoKwp133tni78jExERc3lxbW6uTv+VNq7frakUIEZG+YLAdQAwMDPDss89iw4YNSEpKglqtxunTp5GUlARfX1+4uLhoFVSpr69HUVERUlJSkJOTIy4dNTQ0xDPPPNNmFUdHR0csXboUS5YsQUpKCqKiohAdHS2GmsrKSuzfvx/79++Hi4sLJk2ahEmTJnVrn1Z/U1FRgd9//13sjdooICAAd911l1Ybpxtl4cKFzYLtHXfc0e7jampqsGHDBhQVFQFoWLq8du3aAdn/uLHtj0Kh6FZF6aZUKpUYprrbgkmfKRQKsc+tVCrFmDFjunU+U1NTDBs2DBcuXIBarcYff/wBJycncTa2I7PjEokEzs7OYnj18PCAu7t7l5c1Nz1vR/eRSqVSrFmzBjKZTKxCnpGRgczMTLi4uGDw4MGwsbGBXC6HSqVCWVkZCgsLkZWVpRXSx40bhyeffFKcCRwyZAjWrl2L//znP1Aqlbh69Sp27dqF4cOHw8fHp8UlxQqFAqmpqbh06ZLWfuIVK1b0mwq+a9euhUqlavfv2+DBg8W9xbm5uTqpjNy0kKAu9vATEekTiaDL7uqkF+rr67Fp0yb8/fffzW5rbFmg0WharPDo6uqKhx9+uEuFOVQqFc6fP4/IyEicPXu2xaV5jftxJ06cOGD346pUKuzfvx9//fWX1u/A2dkZ9957b7c/rHeHRqPBww8/LBYlGTVqFNatW9fmY1QqFTZs2IALFy4AAOzs7PDGG2/opEWIPnr33XfFvZFLly7t0OxWewoLC3HgwAEAwLRp0zq0ZLY/SkxMxBtvvAEA8PDwQGhoaLfPWV1djb/++qtD95XJZBgyZIjWcmI3N7c+0w+3cUvDxo0bO9Uz1tDQEMuXL8fs2bNbXGFx+fJlfPHFF1qzhRKJBFZWVlqBuby8HGVlZVph2cTEBPfffz8mT57cvSenhyIiIvDNN98AaFiGPn/+/G5d6FIoFNi2bZv439bPPvuMxRuJaEAZeNMlBCMjI9x3332YOHEitm3bptVLr7GX3/UGDRqE2bNnY8GCBV2eZTMwMBCXa167dg2nTp1CVFSU1gzg5cuXcfnyZfz4448ICAgQ9+MOlJm9+Ph4/PLLL8jPzxePmZqa4pZbbsGsWbN6/XWQSqWYM2cOtm7dColEgnvvvbfN+wuCgK+//loMtebm5njhhRcGbKgF/q89D9CwH1YXBb+azhzqok+1vmraMqajFbrbY25uDlNT02bViuVyOdzc3LSWE7u6uvbpfY0SiQSTJ0/G6NGjcfjwYRw+fLhZz9WmzM3NMW3aNMyaNavN1TTDhw/Hhg0b8Ouvv4p7cQVBQHl5OcrLy1t93Lhx4/DAAw+IVZwHmqlTp2Ljxo1QKBQoLS1Fampqt2Ztz5w5I4baIUOGMNQS0YDDGVtCTk4O4uLikJaWhuzsbNTV1UEmk8He3h6enp4YMWIE/P39eyxUFRYW4sSJE4iKitIKdI0sLCwQHByMyZMnY+jQof1yP25+fj5+/vlnnDt3TjwmkUgwbdo03HbbbZ3ae3cjJCcnY9CgQe1+IN28eTN27twJoCEIrFu3DsOGDbsRQ+yzkpKS8PrrrwNoqJg8f/78bp1Po9Hgr7/+Qk1NDSQSCT7++OMBu6T/xx9/FFeizJkzR2d7DI8cOSIu8bznnnswatQoODs7630BPLVajczMTKSnpyMnJwcKhUJsfdTYR7azQb2kpARHjhzB2bNnkZOT06wlkZOTE0aPHo2ZM2f227ZUnbFt2zZs27YNQMPfyLlz53apXVtWVhaOHTsmfv/qq6/26b7gREQ9gcGW+gxBEJCamirux22pB5+TkxMmT56MyZMn94sP7zU1Nfjrr7+wf/9+rQ+Avr6+WLFiRZ+afauvr0dmZiYKCwuhVqthbGyMIUOGwMnJqcXliQcOHBArsUokEjz11FMIDAy80cPucwRBwLp165CZmQmgoZpyV5b2N7p06ZLYw9bf3x/PPfecLoapl7755htEREQAaNgPrquVAcePHxd/X5988km/+NtzIygUCly9ehUKhQIGBgZwcHAQt5hkZ2fjk08+gbu7Ox599NF+U0SuK9auXSsWWTQxMUFYWFinZlszMjLEwmAAEBwcjMcff7xHxkpE1JcNjPWdpBckEgm8vb3h7e2Nu+++G+fPn0dUVBTOnj0rLo/Oz8/Hli1bsGXLFvj5+Yn7cXWxT7E1tbW1YluL3Nxc1NfXw8DAAIMHD4anpyeGDx/e6Q/QGo0Gx48fx++//46KigrxuI2NDe68804EBwf3iZlphUKBmJgYHDlyBMnJyWjpOpiJiQkCAgIwa9YseHt7QyKRIDY2Fj/99JN4n/vuu4+h9v+TSCS4+eab8cknnwAAYmNjYW9v36X3cFlZmTjLL5FIsHjxYl0OVe80LZylUCh0dt6m2zMGcnGuzjI0NGy1Z+63336LvLw85OXloaioCC+++OKAravw8ssv45lnnoFCoUBtbS327duH0aNHY8SIEW3OmNfU1ODs2bNavavt7e3x8MMP34hhExH1OZyxpT7v2rVriI2NRVRUFC5fvtzsdrlcDn9/f4SGhmLs2LEtLpnOyMjAtWvXMGLEiA4HxoKCAuzZswdRUVFt9hmUSqUYP3485s+f36EqlMnJydi4caPWfkC5XI4FCxZg0aJFfabQTHx8PL777jutgjDtGTt2LKZNm4b//ve/YhhYvHhxv+lVqyuCIODjjz9GXFwcgIbl9jNnzuxUpdyysjIcOnRIfG/OnTu33T3P/d2hQ4fw/fffAwDGjx+P4cOHd/ucgiBg69atqKurg5mZGb7++us+cdFJ37366qtISUkRv3dycsKzzz7b5fZM+i4/Px/r1q1DfX29eEwul8PT0xMODg6wtraGgYGBuB83Pz8fWVlZWhcbHR0d8d577/HiCxENWAy2pFeKiorE/bh5eXnNbjc3N0dwcDBCQ0PF/bjZ2dlYt24d1Go15s2bh7vvvrvND6YajQb79+/H77//3umeoLNnz8by5ctbDKdlZWXYtGkToqKitI4HBgbirrvu6jM9B9VqNX788UccPnxY67ilpSUcHBxgZWUFmUyG+vp6lJaWoqCgQGt2TCKRiB+2QkNDsWbNGgaBFlRWVuK1114TlyDK5XIEBgbCy8ur3ffnlStXcO7cOXH5upeXF1555RWtvtIDUVpaGl5++WUADcVzwsLCun3OsrIy7N69G0DHqoBTx2zYsEGrpgDQUCjv8ccfx9ixY3tnUL2ssS1aUlJSpx8bFhaGBx98cEAv6SYiYrAlvSQIAtLT0xEZGYno6GhUVlY2u4+TkxMmTZqEwsJCsXcjACxZsgS33npri+dVKBT4/PPPcfr0afGYgYEBPD094eTkhEGDBsHIyEhsXVFQUIDU1FStGV1XV1f861//EguAKJVK7Nu3D9u3b9e635AhQ3Dvvfdi1KhR3X05dEaj0eCLL75AdHS0eMzJyQljxoyBvb19i4FLpVIhMzMT8fHxWu2J3NzcsH79+l6v5NyXFRcX45133tGqamxpaQkfHx84ODhg0KBBkMlkUKlUKC0txdWrV5GcnKxVodfLywsvvvhit/ui9gdqtRpPPvkkSktLxSXf3X1dTp06JQaNFStWYM6cOboY6oD39ttv4+LFi82OSyQSrFq1CtOmTbvxg+ojYmNjsXnz5nb7JDdu37n//vu7tU+fiKi/YLAlvadSqZCQkIDIyEicOXOmQ7Osd9xxB8LDw7WOaTQafPTRR2IhHgDw8/PD2LFj21zapVarkZSUhPj4eHEGzcXFBa+++iqSkpLwyy+/iLNyAGBmZoZly5Zh5syZfa6q6tatW/Hnn38CaFhiPWHCBHHfbHsa9+M2FtkxMDDA+vXrW91jRw2qq6vx008/NZvJb9R0Bvz643PnzsVtt9024Gdqm/rzzz+xdetWAIC7uzumTJnS5XOVl5djz5490Gg0MDIywhdffDFg94Hq2vVLkZuytbXFZ599doNH1PcUFRUhMjISly5dQklJCdRqNQwMDODs7IxRo0ZhypQpfD8SETXBYEv9Sk1Njbgft2l/3pZcP/uya9cubNq0CQAgk8kwbdo0ODs7d/hnV1RU4PDhw7h27RqAht6/TXtESiQSzJgxA8uWLYOlpWVnntYNkZ6ejldeeQUajUZsNdTZdhyCICA6OhqpqakAAA8PD7z55pucte2A8+fPY9euXe2+byUSCfz9/bFo0aIO7ekeaCorK/Hss8+iuroaADBp0iR4eXl1+jwqlQp///03SkpKAADh4eG44447dDrWgeyFF15AdnZ2i7e1taqGiIioNQy21G8VFxfjgw8+QFZWVqv3ufXWW7FkyRLk5+fjxRdfFGd7Z8yY0alQ26iqqgp79+5tVpF1+PDhuPfee+Hu7t7pc94ob731llica8yYMV3e56ZWq7F3716Ul5cDAB588EHMmDFDV8Ps93Jzc5GQkID09HTk5+dDpVLB0NAQzs7O8PT0xLhx49huph0nTpzAF198AaBh5cHkyZM79W9PqVTi2LFjYl9tJycnvPvuuyzKo0NNW9w0MjIywuuvv96n/04SEVHfxWkU6rfMzc3FD6atOXToEJYsWYKdO3eKoXb48OFdCrVAQ3XbCRMmiMtK5XI51qxZg6CgoD5dQCk7O1sMtRYWFt3a9yuTyRAUFIT9+/cDAA4ePIjp06f36effl7i4uMDFxaW3h6HXQkJCcPHiRRw9elRsreXj44Obbrqp3XB69epVREdHizO+BgYGePTRRxlqdWz48OEoKCiAhYWF+Le6vr4e2dnZDLZERNQlDLbUbykUCnHP6/UkEgnkcjkWLVqE6upqnDx5EkBDEO1uRU4PDw9cuXIFxcXFUCqVGDRoUJ8PdZGRkeLXfn5+3d77a29vDzs7OxQXFyMrKwuZmZksbkI3jEQiwYMPPgi1Wi2+t5OTk5GRkQEvLy8MGTIENjY2MDIygiAIqKioQHFxMVJTU1FUVKR1LpVKhRMnTnRpOTO1buXKlZg7dy4GDx6MtLQ0vPnmmwCAvXv3YtKkSX3+byYREfU9DLbUb1laWuKZZ57BpUuXYG1tDVtbW9ja2sLOzg5WVlZiW4STJ0+Ks7VDhw6FXC7v1s+VSCTw9fVFcXExAODMmTPw8/Pr3pPpYU2LuOgqgHp4eIivQUpKCoMt3VAymQyrV6/G0KFDsWnTJtTX10OpVCIxMRGJiYkAWi/MBTRU9c7OzoYgCNi3bx/s7Owwb968G/kU+jWpVCoWlhs2bBi8vLyQlpaGjIwMXLp0CSNHjuzlERIRkb5hsKV+zd/fH/7+/m3eJz09Xfy6q0uQr9f0PE3P3xcJgoCMjAwADRWbW+rB2xW2trbi1339NaD+SSqVYvbs2Rg3bhx27NiBkydPor6+Xry9pVDr6uqKuXPnYurUqTh27Bi++eYbAMAvv/wCW1tbTJgw4YaNf6CQSCSYP38+Pv/8cwANs7YMtkRE1FkMtjTgNa3MaWNjo5NzmpiYwMTEBLW1ta1W/uwrlEql2F/XzMxMZ+dt2j+0cb8iUW9wcHDAqlWrcOeddyI+Ph7p6enIyspCbW0tpFIpbG1t4enpieHDh2u1twoLC0NRURG2b98OQRDwxRdfwNramtWoe8DEiROxefNmFBcXIz4+Hrm5udxrTkREncJgSwNe0xkcXRaIMTIyQm1trRga+yruZaOBwszMDJMnT8bkyZM7/Jhbb70VxcXFiIqKglKpxAcffIA33ngDTk5OPTjSgUcmk2HOnDn49ddfAQD79u3DypUre3lURESkT6S9PQCi3ta0UFJrxaa6ovFcfb2Hq4GBAUxMTADodma1qqpK/NrCwkJn5yW6kSQSCR566CFxaWx1dTU2bNiAysrKXh5Z/xMWFib+LYqMjORrTEREncJgSwOeg4OD+HVj79XuUiqVYkhsev6+SCKRiO01ampqUFtbq5PzlpSUiF97enrq5JxEvcHAwABr166Fq6srAKCgoAAffPCB1moP6j5TU1OEhYUBaPgbeujQoV4eERER6RMGWxrwmoau61t9dFVxcbFYmEYfQp2Pj4/4dWMhqe5qeh5vb2+dnJOot5iamuL555/HoEGDADRU+v7vf/8LjUbTyyPrX+bMmSNWrP/777+hUCh6eURERKQvGGxpwGtafTMlJaXV9h+d0bR9jj5U9wwNDRW/TkxM7PaS7MLCQnHG1sPDQ2zrQaTPbG1t8fzzz4vLZePi4vDzzz/r5G8GNbC3txcrT1dWVuLEiRO9PCIiItIXDLY04Dk7O2PEiBEAGj5IdXfGsqysDJmZmQAa9pbqQ3uQIUOGiAG8qqoK//zzT5fPpVarER0dLX4/a9YsFqiifsPd3R1PPvmkuDf/wIED2LdvXy+Pqn+ZP3+++PXevXt54YCIiDqEwZYIwIIFC8SvY2NjUVNT06XzqNVqnDx5UvwgNnv2bMjlcp2Msafdfffd4of1ixcvIisrq9Pn0Gg0iI6OFou+eHl5YcqUKTodJ1FvGzNmDB588EHx+19//RWnTp3qxRH1L97e3hg2bBgAIDc3F+fPn+/lERERkT5gsCUC4O/vj6CgIACAQqHA4cOHO11ESa1WIzIyEqWlpQAAFxcXLFq0SOdj7Snu7u5YsmQJAEAQBBw/fhyJiYkdni2pr6/H8ePHkZ6eDgCQy+VYs2aNVtVpov5i2rRpWLp0KYCGfy///e9/kZiY2Muj6j+aztru2bOnF0dCRET6gsGW6P+77777YGdnB6ChOvLevXuRl5fXoceWl5fjwIEDyM7OBtDQD/fhhx/Wm9naRjfffLPY41MQBMTGxuLgwYO4evVqqwFXqVQiKSkJO3fuFJ+/TCbD448/jiFDhtywsRPdaLfccou4IkGpVOLDDz9Efn5+L4+qfwgICICjoyOAhhUkjds7iIiIWiMRuHmFSJSfn4+3335bnHUFGmZefX19MXjwYK2etBqNBiUlJUhOTkZ6erpYHdXQ0BDPPPMMRo8efcPHrwsajQa//PIL9u/fr3XcwsICdnZ2sLa2hkwmQ319PUpLS1FYWAilUinez9TUFI8++ij8/f1v9NCJbjiVSoX3338fCQkJABrae73xxhuwsrLq5ZHpv7///hs//vgjgIYCdw8//HDvDoiIiPo0Blui65SUlODLL7/ExYsXtY5LJBJYWlrC0NAQKpUKFRUVzVp9ODk54ZFHHsHQoUNv5JB7REJCAr755hsUFxd3+DEBAQF44IEHxJYoRANBTU0N3nzzTXFf+tChQ/HSSy/B2Ni4l0em3+rq6vD444/j2rVrkMlk+PTTT/m3hYiIWsVgS9QCjUaDiIgI7Nixo0PBztTUFLNmzcKSJUtgaGh4A0Z4Y6hUKsTFxeHw4cOttgEyNzfH+PHjMWvWLL3o2UvUE0pKSvDaa6+Jqz0CAgKwdu1aSKVSFBQUQC6Xw8bGppdHqX9+//137NixAwCwaNEiLF++vJdHREREfRWDLVEbNBoN4uPjcebMGaSnpyMnJwdqtRoSiQSDBw+Gp6cnRo0aheDgYBgZGfX2cHuUUqlEdnY2CgsLoVarYWxsDFdXV9jb27OdDxGArKwsvPHGG2LhuZkzZ8LGxgZ//PEH5HI5/v3vf8PJyamXR6lfysrK8MQTT0CtVsPMzAyfffYZZ8KJiKhFDLZEnaRWqyGVShnmiKiZhIQEbNiwocXVDcuWLRMrKVPHffnllzh+/DgAYMWKFZgzZ04vj4iIiPoiVkUm6iSZTMZQS0QtGj16NO67774Wb7tw4cKNHUw/0bT1z759+5rVNiAiIgIYbImIiHSmqqoKhw8fbvG25ORk1NXV3eAR6T83NzeMGjUKAFBYWIgzZ8708oiIiKgvYrAlIiLSkQMHDiAjI6PF29RqNRITE2/sgPqJBQsWiF/v2bOnF0dCRER9FYMtERGRjnh5eUEqbf0/rZxt7JoxY8bAxcUFAJCUlISUlJReHhEREfU1LB5FRESkQ7m5uThy5AiOHTuGmpoardvMzMzwzTffaB1LS0vDuXPnkJ6ejqtXr0KhUMDQ0FCsvD5u3Dh4eXndyKfQJ0VERIivXVBQEJ544oleHhEREfUlDLZEREQ9oL6+HtHR0Thw4AAyMzMBNPS8/vbbbwEAcXFx2LFjB9LS0to9l5eXFxYvXozAwMAeHXNfplAo8MQTT6CyshISiQQff/wx7O3te3tYRETURzDYEhER9bALFy7g6NGjmD9/Puzs7PDDDz/g1KlTze4nk8kgl8uhVCpbbBk0ceJE3H///bC0tLwRw+5z/vzzT2zduhUAMG/ePNxzzz29PCIiIuorGGyJiIhukKKiIrzzzjsoKCgQjw0aNAi+vr4YPHgwLCwsIJFIIAgCqqqqcPXqVSQlJaGsrEy8v6OjI9atWzcgZysrKyvx+OOPQ6lUwtjYGJ9//jlMTU17e1hERNQHMNgSERHdAJWVlXjttdfEUGtkZITAwEB4eHi02RtbEARkZGQgLi4O9fX1ABrC7RtvvDEgZ26/++47saXSnXfeiYULF/byiIiIqC9gVWQiIqIb4IcffhBDraWlJRYsWABPT882Qy0ASCQSeHp6YsGCBWKQLSgowI8//tjTQ+6T5s2bJ369f/9+qFSqXhwNERH1FQy2REREPSwuLk7cU2tkZISZM2fCzMysU+cwMzPDzJkzYWhoCACIiYnB6dOndT7Wvs7Z2Rn+/v4AgNLSUsTGxgIAlEol8vPzkZWVhby8PCiVyt4cJhER3WAGvT0AIiKi/m7Xrl3i14GBgZ0OtY3MzMwwYcIEREVFAQB27tyJ8ePH62SM+mTBggWIj48HAPz222/YvXs3srOztQpuyWQyuLq6Yty4cZg+fTrs7Ox6a7hERHQDcMaWiIioB6WnpyMlJQVAQ6EoDw+Pbp3Pw8MDgwYNAgCkpKQgIyOjmyPUP66urrCwsADQMGubkZHRrIq0Wq1GRkYGtm/fjieffBL//e9/UVVV1RvDJSKiG4DBloiIqAedP39e/NrX17fdPbXtkUgk8PX1Fb8/d+5ct86nbxISEvD88883C6lWVlbw8PCAj48PPDw8YGVlJd4mCAKioqLw/PPPa/0+iIio/+BSZCIioh6Unp4ufu3o6KiTczY9T9Pz93dxcXH49NNPxdlZQ0ND+Pn5wcfHp8W2PzU1NUhJScHly5ehUChQUVGBDz74AI8//jgmTJhwo4dPREQ9iDO2REREPSgvLw9Aw55PXbXnsbS0hEwm0zp/f5eSkoLPPvtMDLXOzs4IDw/H2LFjW+1la2pqijFjxiA8PBwuLi4AGpYof/bZZ0hOTr5hYyciop7HGVsiIqIe1Fid18DAoNvLkBtJJBIYGBhArVbj6tWrePHFF2Fpaan1PwsLi2bHTE1NdTaGG0mhUOCrr74SW/t4eXkhODgYUmnHrs+bmppi2rRpiImJQWpqKtRqNb788ku8++67YpVpIiLSbwy2REREPUgulwMAVCoVBEHQSbDUaDRiyFOr1cjKyurQ4xpnjdsKv43HraysYGJi0mNBWBAE7NmzByUlJZg7d26by7T37t2L3NxcAICtrW2nQm0jqVSKoKAglJeXo6SkBPn5+di9ezeWLl3aredBRER9A4MtERFRD3J2dkZubi7UajUqKyu1ihp1VVVVlbgk18jICGq1Wgy6bVGr1SgrK0NZWVmHfo6BgUG7Abjp950Jwunp6fjtt98AAEeOHMHixYsRHh4uXghopFKpcPDgQQANM9VdCbWNpFIpQkJCsHv3bgiCgEOHDmHRokUwMODHISIifce/5ERERD3I09MTcXFxAICrV6/qJNhevXpV/Hrx4sVYvHgxamtrUVlZKf6vqqpK6/umxysqKpq1x2mJSqVCaWkpSktLOzSuxiDcdNa3tVDcdJZZqVRi69atiIqKwn333YcxY8aIt50/f14M4i4uLmKro66ytraGq6srsrKyUF5ejvj4eAQGBnbrnERE1PsYbImIiHrQuHHj8McffwAAkpOTu93yRxAEJCUlaZ1fIpHA1NQUpqamGDx4cIfOUVtbi4qKijYDcNPveyIIX+/q1av497//DXd3dzz99NOwt7dHYmKiePvQoUO7dN7reXl5icE6KSmJwZaIqB9gsCUiIupBHh4e8Pb2RkpKCsrKypCRkQFPT88uny89PR3l5eUAIPZs7aymQdjJyand+wuCgJqamnbDb9PjHQnCrcnMzMRbb72FTz/9VKudkZ2dXZfP2VTT86SlpenknERE1LsYbImIiHrY4sWL8eGHHwIAYmNj4eDgADMzs06f59q1a+KyZgBYtGiRzsbYFolEAjMzM5iZmXU4CF+7dk1c9txSAL5y5Uqbe30bW/g0zv7K5fJW2/p0lomJCQwNDaFQKLo8u0xERH0Lgy0REVEPCwgIQFBQEGJiYqBQKHDw4EHMmjWrU+H22rVrOHjwIBQKBQAgJCQEAQEBPTXkbpFIJDA3N4e5uXmrQfijjz7SCumNnJ2dMX78eNxyyy0AGipAN55T12MEGkI4ERHpPwZbIiKiG+D+++9Heno6CgoKUFVVhd27dyMwMBCenp5thjZBEJCeno64uDgx1Do6OmLFihU3aug9wsTEROvrSZMmYfr06c2WVjeGf6VSCZVKpZMKxiqVSnwtdTULTEREvYvBloiI6AawsLDASy+9hLfffhsFBQVQKBQ4ceIELl68CF9fXzg6OsLS0hJSqRQajQaVlZUoKChAUlKSuKcWAAYPHox169bBwsKi956MDixfvhyDBg2Co6MjgoKCYGxs3OL93NzckJaWBkEQUFpaCgcHh27/7LKyMnGm1s3NrdvnIyKi3sdgS0REdIPY2dnhzTffxMaNG3Hy5EkAQHl5OWJjYwE09Fk1MDCASqUSl+A2FRISghUrVuh9qAUa2u7cfvvt7d7Py8sLR48eBQDk5OToJNhmZ2eLX+uq0jIREfWurnU4JyIioi6xsLDAY489hmeeeQY+Pj5at2k0GigUimah1sfHB8888wwee+yxfhFqOyMwMBAymQwAkJKSAqVS2a3zqVQqpKSkAABkMhlb/RAR9ROcsSUiIuoFAQEBCAgIQEZGBs6fP4/09HTk5eVBqVRCLpfD2dkZnp6eGDt2bJda+vQXVlZWmDhxIk6ePIn6+nqcO3euW2E0Pj4e9fX1AIAJEybA2tpaRyMlIqLexGBLRETUizw8PAZ0cO2IW265BXFxcVAqlbhy5QocHR27tDc2OzsbV65cAdDQPqix8jIREek/LkUmIiKiPs3JyUlrP25kZKRYUKqj0tPTcfz4cfH7W2+9Fc7OzjodJxER9R6JwAZuRERE1MdpNBp8+eWXiIqKEo+5ubnB398flpaWrT6usrIS8fHxyMrKEo+FhITgkUcegVTK6/tERP0Fgy0RERHpBbVaje+//x4RERFaxwcPHozBgwdj0KBBkMvlUKlUKC0tRUFBAfLz87XuO3XqVKxcuVIsSEVERP0Dgy0RERHplZiYGPzwww+oqqrq8GPMzc1x//33IygoCBKJpAdHR0REvYHBloiIiPROdXU1IiIicOjQIRQVFbV6P3t7e8yYMQNhYWEDrlUSEdFAwmBLREREekuj0SA/P79ZuyQnJyd4enrC2dmZe2mJiAYABlsiIiIiIiLSa7yESURERERERHqNwZaIiIiIiIj0GoMtERERERER6TUGWyIiIiIiItJrDLZERERERESk1xhsiYiIiIiISK8x2BIREREREZFeY7AlIiIiIiIivcZgS0RERERERHqNwZaIiIiIiIj0GoMtERERERER6TUGWyIiIiIiItJrDLZERERERESk1xhsiYiIiIiISK8x2BIREREREZFeY7AlIiIiIiIivcZgS0RERERERHqNwZaIiIiIiIj0GoMtERERERER6TUGWyIiIiIiItJrDLZERERERESk1xhsiYiIiIiISK8x2BIREREREZFeY7AlIiIiIiIivcZgS0RERERERHqNwZaIiIiIiIj0GoMtERERERER6TUGWyIiIiIiItJrDLZERERERESk1xhsiYiIiIiISK8x2BIREREREZFeY7AlIiIiIiIivcZgS0RERERERHqNwZaIiIiIiIj0GoMtERERERER6TUGWyIiIiIiItJrDLZERERERESk1xhsiYiIiIiISK8x2BIREREREZFeY7AlIiIiIiIivcZgS0RERERERHqNwZaIiIiIiIj0GoMtERERERER6TUGWyIiIiIiItJrDLZERERERESk1xhsiYiIiIiISK8x2BIREREREZFeY7AlIiIiIiIivcZgS0RERERERHqNwZaIiIiIiIj0GoMtERERERER6TUGWyIiIiIiItJrDLZERERERESk1xhsiYiIiIiISK8x2BIREREREZFeY7AlIiIiIiIivcZgS0RERERERHqNwZaIiIiIiIj0GoMtERERERER6TUGWyIiIiIiItJrDLZERERERESk1xhsiYiIiIiISK8x2BIREREREZFe+38oWUumEjZ0hAAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 1200x1000 with 1 Axes>"
       ]
@@ -353,7 +326,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2022-03-23T18:11:17.653899Z",
@@ -643,7 +616,7 @@
        "110         gas         0  "
       ]
      },
-     "execution_count": 6,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -663,7 +636,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2022-03-23T18:11:17.655599Z",
@@ -865,7 +838,7 @@
        "[100 rows x 8 columns]"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -897,7 +870,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2022-03-23T18:11:17.657053Z",
@@ -1026,7 +999,7 @@
        "[179 rows x 3 columns]"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1057,7 +1030,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2022-03-23T18:11:17.658270Z",
@@ -1076,7 +1049,7 @@
        "10.921627803299574"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1096,7 +1069,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2022-03-23T18:11:17.660266Z",
@@ -1115,7 +1088,7 @@
        "[9, 11, 24, 25, 30, 45, 48, 53, 58, 60, 64, 65, 79, 86, 88, 99, 102, 110]"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1164,7 +1137,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2022-03-23T18:11:17.662132Z",
@@ -1257,7 +1230,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -1269,9 +1242,8 @@
     }
    ],
    "source": [
-    "print(\n",
-    "    f\"The average objective value over all instances is: {np.mean([OPF1(instance) for instance in I]):.2f}\"\n",
-    ")"
+    "sol1 = [OPF1(instance) for instance in I]\n",
+    "print(f\"The average objective value over all instances is: {np.mean(sol1):.2f}\")"
    ]
   },
   {
@@ -1307,7 +1279,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2022-03-23T18:11:17.666581Z",
@@ -1424,7 +1396,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2022-03-23T18:11:17.668379Z",
@@ -1446,9 +1418,8 @@
     }
    ],
    "source": [
-    "print(\n",
-    "    f\"The average objective value over all instances is: {np.mean([OPF2(instance) for instance in I]):.2f}\"\n",
-    ")"
+    "sol2 = [OPF2(instance) for instance in I]\n",
+    "print(f\"The average objective value over all instances is: {np.mean(sol2):.2f}\")"
    ]
   },
   {
@@ -1486,7 +1457,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2022-03-23T18:11:17.670681Z",
@@ -1623,7 +1594,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2022-03-23T18:11:17.672765Z",
@@ -1640,14 +1611,13 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The average objective value over all instances is: 41608.73\n"
+      "The average objective value over all instances is: 41623.27\n"
      ]
     }
    ],
    "source": [
-    "print(\n",
-    "    f\"The average objective value over all instances is: {np.mean([OPF3(instance) for instance in I]):.2f}\"\n",
-    ")"
+    "sol3 = [OPF3(instance) for instance in I]\n",
+    "print(f\"The average objective value over all instances is: {np.mean(sol3):.2f}\")"
    ]
   },
   {
@@ -1662,20 +1632,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "objs = [\n",
-    "    [OPF1(instance) for instance in I],\n",
-    "    [OPF2(instance) for instance in I],\n",
-    "    [OPF3(instance) for instance in I],\n",
-    "]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2022-03-23T18:11:17.676081Z",
@@ -1691,7 +1648,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1701,6 +1658,7 @@
     }
    ],
    "source": [
+    "objs = [sol1, sol2, sol3]\n",
     "plt.plot(objs[0], color=\"blue\", label=\"OPF1\")\n",
     "plt.plot(objs[1], color=\"green\", label=\"OPF2\")\n",
     "plt.plot(objs[2], color=\"orange\", label=\"OPF3\")\n",
diff --git a/notebooks/04/power-network.html b/notebooks/04/power-network.html
index 8de9ff3a..6ad9d1d0 100644
--- a/notebooks/04/power-network.html
+++ b/notebooks/04/power-network.html
@@ -608,7 +608,7 @@ <h2>Optimal Power Flow problem<a class="headerlink" href="#optimal-power-flow-pr
 <li><p><span class="math notranslate nohighlight">\(\theta_i\)</span> phase angles</p></li>
 <li><p><span class="math notranslate nohighlight">\(f_{ij}\)</span> power flows</p></li>
 </ul>
-<p>All the other quantities are instance-dependent parameters. Each of the 96 instances captures the network in a different moment in time, thus with different energy demand at each node and different realizations for the power produced by renewable energy sources.</p>
+<p>All the other quantities are instance-dependent parameters. Each instance captures the network in a different moment in time, thus with different energy demand at each node and different realizations for the power produced by renewable energy sources.</p>
 </section>
 <section id="data">
 <h2>Data<a class="headerlink" href="#data" title="Permalink to this heading">#</a></h2>
@@ -642,136 +642,6 @@ <h3>Setup code and data import<a class="headerlink" href="#setup-code-and-data-i
 </pre></div>
 </div>
 </div>
-<div class="cell_output docutils container">
-<div class="output traceback highlight-ipythontb notranslate"><div class="highlight"><pre><span></span><span class="gt">---------------------------------------------------------------------------</span>
-<span class="ne">HTTPError</span><span class="g g-Whitespace">                                 </span>Traceback (most recent call last)
-<span class="o">/</span><span class="n">Users</span><span class="o">/</span><span class="n">ale</span><span class="o">/</span><span class="n">My</span> <span class="n">Drive</span><span class="o">/</span><span class="n">GitHub</span> <span class="n">repositories</span><span class="o">/</span><span class="n">MO</span><span class="o">-</span><span class="n">book</span><span class="o">/</span><span class="n">notebooks</span><span class="o">/</span><span class="mi">04</span><span class="o">/</span><span class="n">power</span><span class="o">-</span><span class="n">network</span><span class="o">.</span><span class="n">ipynb</span> <span class="n">Cell</span> <span class="mi">10</span> <span class="n">line</span> <span class="mi">9</span>
-      <span class="o">&lt;</span><span class="n">a</span> <span class="n">href</span><span class="o">=</span><span class="s1">&#39;vscode-notebook-cell:/Users/ale/My%20Drive/GitHub</span><span class="si">%20r</span><span class="s1">epositories/MO-book/notebooks/04/power-network.ipynb#X13sZmlsZQ%3D%3D?line=6&#39;</span><span class="o">&gt;</span><span class="mi">7</span><span class="o">&lt;/</span><span class="n">a</span><span class="o">&gt;</span> <span class="c1"># Download the data</span>
-      <span class="o">&lt;</span><span class="n">a</span> <span class="n">href</span><span class="o">=</span><span class="s1">&#39;vscode-notebook-cell:/Users/ale/My%20Drive/GitHub</span><span class="si">%20r</span><span class="s1">epositories/MO-book/notebooks/04/power-network.ipynb#X13sZmlsZQ%3D%3D?line=7&#39;</span><span class="o">&gt;</span><span class="mi">8</span><span class="o">&lt;/</span><span class="n">a</span><span class="o">&gt;</span> <span class="n">base_url</span> <span class="o">=</span> <span class="s2">&quot;https://raw.githubusercontent.com/mobook/MO-book/main/notebooks/04/data/&quot;</span>
-<span class="o">----&gt;</span> <span class="o">&lt;</span><span class="n">a</span> <span class="n">href</span><span class="o">=</span><span class="s1">&#39;vscode-notebook-cell:/Users/ale/My%20Drive/GitHub</span><span class="si">%20r</span><span class="s1">epositories/MO-book/notebooks/04/power-network.ipynb#X13sZmlsZQ%3D%3D?line=8&#39;</span><span class="o">&gt;</span><span class="mi">9</span><span class="o">&lt;/</span><span class="n">a</span><span class="o">&gt;</span> <span class="n">nodes_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">base_url</span> <span class="o">+</span> <span class="s2">&quot;nodes.csv&quot;</span><span class="p">,</span> <span class="n">index_col</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
-     <span class="o">&lt;</span><span class="n">a</span> <span class="n">href</span><span class="o">=</span><span class="s1">&#39;vscode-notebook-cell:/Users/ale/My%20Drive/GitHub</span><span class="si">%20r</span><span class="s1">epositories/MO-book/notebooks/04/power-network.ipynb#X13sZmlsZQ%3D%3D?line=9&#39;</span><span class="o">&gt;</span><span class="mi">10</span><span class="o">&lt;/</span><span class="n">a</span><span class="o">&gt;</span> <span class="n">edges_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">base_url</span> <span class="o">+</span> <span class="s2">&quot;edges.csv&quot;</span><span class="p">,</span> <span class="n">index_col</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
-     <span class="o">&lt;</span><span class="n">a</span> <span class="n">href</span><span class="o">=</span><span class="s1">&#39;vscode-notebook-cell:/Users/ale/My%20Drive/GitHub</span><span class="si">%20r</span><span class="s1">epositories/MO-book/notebooks/04/power-network.ipynb#X13sZmlsZQ%3D%3D?line=11&#39;</span><span class="o">&gt;</span><span class="mi">12</span><span class="o">&lt;/</span><span class="n">a</span><span class="o">&gt;</span> <span class="c1"># Read all instances</span>
-
-<span class="nn">File ~/Library/Caches/pypoetry/virtualenvs/mo-book-rd3A6LPh-py3.10/lib/python3.10/site-packages/pandas/util/_decorators.py:211,</span> in <span class="ni">deprecate_kwarg.&lt;locals&gt;._deprecate_kwarg.&lt;locals&gt;.wrapper</span><span class="nt">(*args, **kwargs)</span>
-<span class="g g-Whitespace">    </span><span class="mi">209</span>     <span class="k">else</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">210</span>         <span class="n">kwargs</span><span class="p">[</span><span class="n">new_arg_name</span><span class="p">]</span> <span class="o">=</span> <span class="n">new_arg_value</span>
-<span class="ne">--&gt; </span><span class="mi">211</span> <span class="k">return</span> <span class="n">func</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
-
-<span class="nn">File ~/Library/Caches/pypoetry/virtualenvs/mo-book-rd3A6LPh-py3.10/lib/python3.10/site-packages/pandas/util/_decorators.py:331,</span> in <span class="ni">deprecate_nonkeyword_arguments.&lt;locals&gt;.decorate.&lt;locals&gt;.wrapper</span><span class="nt">(*args, **kwargs)</span>
-<span class="g g-Whitespace">    </span><span class="mi">325</span> <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">args</span><span class="p">)</span> <span class="o">&gt;</span> <span class="n">num_allow_args</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">326</span>     <span class="n">warnings</span><span class="o">.</span><span class="n">warn</span><span class="p">(</span>
-<span class="g g-Whitespace">    </span><span class="mi">327</span>         <span class="n">msg</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">arguments</span><span class="o">=</span><span class="n">_format_argument_list</span><span class="p">(</span><span class="n">allow_args</span><span class="p">)),</span>
-<span class="g g-Whitespace">    </span><span class="mi">328</span>         <span class="ne">FutureWarning</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">329</span>         <span class="n">stacklevel</span><span class="o">=</span><span class="n">find_stack_level</span><span class="p">(),</span>
-<span class="g g-Whitespace">    </span><span class="mi">330</span>     <span class="p">)</span>
-<span class="ne">--&gt; </span><span class="mi">331</span> <span class="k">return</span> <span class="n">func</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
-
-<span class="nn">File ~/Library/Caches/pypoetry/virtualenvs/mo-book-rd3A6LPh-py3.10/lib/python3.10/site-packages/pandas/io/parsers/readers.py:950,</span> in <span class="ni">read_csv</span><span class="nt">(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)</span>
-<span class="g g-Whitespace">    </span><span class="mi">935</span> <span class="n">kwds_defaults</span> <span class="o">=</span> <span class="n">_refine_defaults_read</span><span class="p">(</span>
-<span class="g g-Whitespace">    </span><span class="mi">936</span>     <span class="n">dialect</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">937</span>     <span class="n">delimiter</span><span class="p">,</span>
-   <span class="p">(</span><span class="o">...</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">946</span>     <span class="n">defaults</span><span class="o">=</span><span class="p">{</span><span class="s2">&quot;delimiter&quot;</span><span class="p">:</span> <span class="s2">&quot;,&quot;</span><span class="p">},</span>
-<span class="g g-Whitespace">    </span><span class="mi">947</span> <span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">948</span> <span class="n">kwds</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">kwds_defaults</span><span class="p">)</span>
-<span class="ne">--&gt; </span><span class="mi">950</span> <span class="k">return</span> <span class="n">_read</span><span class="p">(</span><span class="n">filepath_or_buffer</span><span class="p">,</span> <span class="n">kwds</span><span class="p">)</span>
-
-<span class="nn">File ~/Library/Caches/pypoetry/virtualenvs/mo-book-rd3A6LPh-py3.10/lib/python3.10/site-packages/pandas/io/parsers/readers.py:605,</span> in <span class="ni">_read</span><span class="nt">(filepath_or_buffer, kwds)</span>
-<span class="g g-Whitespace">    </span><span class="mi">602</span> <span class="n">_validate_names</span><span class="p">(</span><span class="n">kwds</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;names&quot;</span><span class="p">,</span> <span class="kc">None</span><span class="p">))</span>
-<span class="g g-Whitespace">    </span><span class="mi">604</span> <span class="c1"># Create the parser.</span>
-<span class="ne">--&gt; </span><span class="mi">605</span> <span class="n">parser</span> <span class="o">=</span> <span class="n">TextFileReader</span><span class="p">(</span><span class="n">filepath_or_buffer</span><span class="p">,</span> <span class="o">**</span><span class="n">kwds</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">607</span> <span class="k">if</span> <span class="n">chunksize</span> <span class="ow">or</span> <span class="n">iterator</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">608</span>     <span class="k">return</span> <span class="n">parser</span>
-
-<span class="nn">File ~/Library/Caches/pypoetry/virtualenvs/mo-book-rd3A6LPh-py3.10/lib/python3.10/site-packages/pandas/io/parsers/readers.py:1442,</span> in <span class="ni">TextFileReader.__init__</span><span class="nt">(self, f, engine, **kwds)</span>
-<span class="g g-Whitespace">   </span><span class="mi">1439</span>     <span class="bp">self</span><span class="o">.</span><span class="n">options</span><span class="p">[</span><span class="s2">&quot;has_index_names&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">kwds</span><span class="p">[</span><span class="s2">&quot;has_index_names&quot;</span><span class="p">]</span>
-<span class="g g-Whitespace">   </span><span class="mi">1441</span> <span class="bp">self</span><span class="o">.</span><span class="n">handles</span><span class="p">:</span> <span class="n">IOHandles</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span>
-<span class="ne">-&gt; </span><span class="mi">1442</span> <span class="bp">self</span><span class="o">.</span><span class="n">_engine</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_make_engine</span><span class="p">(</span><span class="n">f</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">engine</span><span class="p">)</span>
-
-<span class="nn">File ~/Library/Caches/pypoetry/virtualenvs/mo-book-rd3A6LPh-py3.10/lib/python3.10/site-packages/pandas/io/parsers/readers.py:1735,</span> in <span class="ni">TextFileReader._make_engine</span><span class="nt">(self, f, engine)</span>
-<span class="g g-Whitespace">   </span><span class="mi">1733</span>     <span class="k">if</span> <span class="s2">&quot;b&quot;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">mode</span><span class="p">:</span>
-<span class="g g-Whitespace">   </span><span class="mi">1734</span>         <span class="n">mode</span> <span class="o">+=</span> <span class="s2">&quot;b&quot;</span>
-<span class="ne">-&gt; </span><span class="mi">1735</span> <span class="bp">self</span><span class="o">.</span><span class="n">handles</span> <span class="o">=</span> <span class="n">get_handle</span><span class="p">(</span>
-<span class="g g-Whitespace">   </span><span class="mi">1736</span>     <span class="n">f</span><span class="p">,</span>
-<span class="g g-Whitespace">   </span><span class="mi">1737</span>     <span class="n">mode</span><span class="p">,</span>
-<span class="g g-Whitespace">   </span><span class="mi">1738</span>     <span class="n">encoding</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;encoding&quot;</span><span class="p">,</span> <span class="kc">None</span><span class="p">),</span>
-<span class="g g-Whitespace">   </span><span class="mi">1739</span>     <span class="n">compression</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;compression&quot;</span><span class="p">,</span> <span class="kc">None</span><span class="p">),</span>
-<span class="g g-Whitespace">   </span><span class="mi">1740</span>     <span class="n">memory_map</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;memory_map&quot;</span><span class="p">,</span> <span class="kc">False</span><span class="p">),</span>
-<span class="g g-Whitespace">   </span><span class="mi">1741</span>     <span class="n">is_text</span><span class="o">=</span><span class="n">is_text</span><span class="p">,</span>
-<span class="g g-Whitespace">   </span><span class="mi">1742</span>     <span class="n">errors</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;encoding_errors&quot;</span><span class="p">,</span> <span class="s2">&quot;strict&quot;</span><span class="p">),</span>
-<span class="g g-Whitespace">   </span><span class="mi">1743</span>     <span class="n">storage_options</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;storage_options&quot;</span><span class="p">,</span> <span class="kc">None</span><span class="p">),</span>
-<span class="g g-Whitespace">   </span><span class="mi">1744</span> <span class="p">)</span>
-<span class="g g-Whitespace">   </span><span class="mi">1745</span> <span class="k">assert</span> <span class="bp">self</span><span class="o">.</span><span class="n">handles</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
-<span class="g g-Whitespace">   </span><span class="mi">1746</span> <span class="n">f</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">handles</span><span class="o">.</span><span class="n">handle</span>
-
-<span class="nn">File ~/Library/Caches/pypoetry/virtualenvs/mo-book-rd3A6LPh-py3.10/lib/python3.10/site-packages/pandas/io/common.py:713,</span> in <span class="ni">get_handle</span><span class="nt">(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)</span>
-<span class="g g-Whitespace">    </span><span class="mi">710</span>     <span class="n">codecs</span><span class="o">.</span><span class="n">lookup_error</span><span class="p">(</span><span class="n">errors</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">712</span> <span class="c1"># open URLs</span>
-<span class="ne">--&gt; </span><span class="mi">713</span> <span class="n">ioargs</span> <span class="o">=</span> <span class="n">_get_filepath_or_buffer</span><span class="p">(</span>
-<span class="g g-Whitespace">    </span><span class="mi">714</span>     <span class="n">path_or_buf</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">715</span>     <span class="n">encoding</span><span class="o">=</span><span class="n">encoding</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">716</span>     <span class="n">compression</span><span class="o">=</span><span class="n">compression</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">717</span>     <span class="n">mode</span><span class="o">=</span><span class="n">mode</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">718</span>     <span class="n">storage_options</span><span class="o">=</span><span class="n">storage_options</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">719</span> <span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">721</span> <span class="n">handle</span> <span class="o">=</span> <span class="n">ioargs</span><span class="o">.</span><span class="n">filepath_or_buffer</span>
-<span class="g g-Whitespace">    </span><span class="mi">722</span> <span class="n">handles</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="n">BaseBuffer</span><span class="p">]</span>
-
-<span class="nn">File ~/Library/Caches/pypoetry/virtualenvs/mo-book-rd3A6LPh-py3.10/lib/python3.10/site-packages/pandas/io/common.py:363,</span> in <span class="ni">_get_filepath_or_buffer</span><span class="nt">(filepath_or_buffer, encoding, compression, mode, storage_options)</span>
-<span class="g g-Whitespace">    </span><span class="mi">361</span> <span class="c1"># assuming storage_options is to be interpreted as headers</span>
-<span class="g g-Whitespace">    </span><span class="mi">362</span> <span class="n">req_info</span> <span class="o">=</span> <span class="n">urllib</span><span class="o">.</span><span class="n">request</span><span class="o">.</span><span class="n">Request</span><span class="p">(</span><span class="n">filepath_or_buffer</span><span class="p">,</span> <span class="n">headers</span><span class="o">=</span><span class="n">storage_options</span><span class="p">)</span>
-<span class="ne">--&gt; </span><span class="mi">363</span> <span class="k">with</span> <span class="n">urlopen</span><span class="p">(</span><span class="n">req_info</span><span class="p">)</span> <span class="k">as</span> <span class="n">req</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">364</span>     <span class="n">content_encoding</span> <span class="o">=</span> <span class="n">req</span><span class="o">.</span><span class="n">headers</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;Content-Encoding&quot;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">365</span>     <span class="k">if</span> <span class="n">content_encoding</span> <span class="o">==</span> <span class="s2">&quot;gzip&quot;</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">366</span>         <span class="c1"># Override compression based on Content-Encoding header</span>
-
-<span class="nn">File ~/Library/Caches/pypoetry/virtualenvs/mo-book-rd3A6LPh-py3.10/lib/python3.10/site-packages/pandas/io/common.py:265,</span> in <span class="ni">urlopen</span><span class="nt">(*args, **kwargs)</span>
-<span class="g g-Whitespace">    </span><span class="mi">259</span><span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
-<span class="g g-Whitespace">    </span><span class="mi">260</span><span class="sd"> Lazy-import wrapper for stdlib urlopen, as that imports a big chunk of</span>
-<span class="g g-Whitespace">    </span><span class="mi">261</span><span class="sd"> the stdlib.</span>
-<span class="g g-Whitespace">    </span><span class="mi">262</span><span class="sd"> &quot;&quot;&quot;</span>
-<span class="g g-Whitespace">    </span><span class="mi">263</span> <span class="kn">import</span> <span class="nn">urllib.request</span>
-<span class="ne">--&gt; </span><span class="mi">265</span> <span class="k">return</span> <span class="n">urllib</span><span class="o">.</span><span class="n">request</span><span class="o">.</span><span class="n">urlopen</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
-
-<span class="nn">File ~/.pyenv/versions/3.10.10/lib/python3.10/urllib/request.py:216,</span> in <span class="ni">urlopen</span><span class="nt">(url, data, timeout, cafile, capath, cadefault, context)</span>
-<span class="g g-Whitespace">    </span><span class="mi">214</span> <span class="k">else</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">215</span>     <span class="n">opener</span> <span class="o">=</span> <span class="n">_opener</span>
-<span class="ne">--&gt; </span><span class="mi">216</span> <span class="k">return</span> <span class="n">opener</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">url</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">timeout</span><span class="p">)</span>
-
-<span class="nn">File ~/.pyenv/versions/3.10.10/lib/python3.10/urllib/request.py:525,</span> in <span class="ni">OpenerDirector.open</span><span class="nt">(self, fullurl, data, timeout)</span>
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-<span class="g g-Whitespace">    </span><span class="mi">524</span>     <span class="n">meth</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">processor</span><span class="p">,</span> <span class="n">meth_name</span><span class="p">)</span>
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-<span class="g g-Whitespace">    </span><span class="mi">527</span> <span class="k">return</span> <span class="n">response</span>
-
-<span class="nn">File ~/.pyenv/versions/3.10.10/lib/python3.10/urllib/request.py:634,</span> in <span class="ni">HTTPErrorProcessor.http_response</span><span class="nt">(self, request, response)</span>
-<span class="g g-Whitespace">    </span><span class="mi">631</span> <span class="c1"># According to RFC 2616, &quot;2xx&quot; code indicates that the client&#39;s</span>
-<span class="g g-Whitespace">    </span><span class="mi">632</span> <span class="c1"># request was successfully received, understood, and accepted.</span>
-<span class="g g-Whitespace">    </span><span class="mi">633</span> <span class="k">if</span> <span class="ow">not</span> <span class="p">(</span><span class="mi">200</span> <span class="o">&lt;=</span> <span class="n">code</span> <span class="o">&lt;</span> <span class="mi">300</span><span class="p">):</span>
-<span class="ne">--&gt; </span><span class="mi">634</span>     <span class="n">response</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">parent</span><span class="o">.</span><span class="n">error</span><span class="p">(</span>
-<span class="g g-Whitespace">    </span><span class="mi">635</span>         <span class="s1">&#39;http&#39;</span><span class="p">,</span> <span class="n">request</span><span class="p">,</span> <span class="n">response</span><span class="p">,</span> <span class="n">code</span><span class="p">,</span> <span class="n">msg</span><span class="p">,</span> <span class="n">hdrs</span><span class="p">)</span>
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-
-<span class="nn">File ~/.pyenv/versions/3.10.10/lib/python3.10/urllib/request.py:563,</span> in <span class="ni">OpenerDirector.error</span><span class="nt">(self, proto, *args)</span>
-<span class="g g-Whitespace">    </span><span class="mi">561</span> <span class="k">if</span> <span class="n">http_err</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">562</span>     <span class="n">args</span> <span class="o">=</span> <span class="p">(</span><span class="nb">dict</span><span class="p">,</span> <span class="s1">&#39;default&#39;</span><span class="p">,</span> <span class="s1">&#39;http_error_default&#39;</span><span class="p">)</span> <span class="o">+</span> <span class="n">orig_args</span>
-<span class="ne">--&gt; </span><span class="mi">563</span>     <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_call_chain</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">)</span>
-
-<span class="nn">File ~/.pyenv/versions/3.10.10/lib/python3.10/urllib/request.py:496,</span> in <span class="ni">OpenerDirector._call_chain</span><span class="nt">(self, chain, kind, meth_name, *args)</span>
-<span class="g g-Whitespace">    </span><span class="mi">494</span> <span class="k">for</span> <span class="n">handler</span> <span class="ow">in</span> <span class="n">handlers</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">495</span>     <span class="n">func</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">handler</span><span class="p">,</span> <span class="n">meth_name</span><span class="p">)</span>
-<span class="ne">--&gt; </span><span class="mi">496</span>     <span class="n">result</span> <span class="o">=</span> <span class="n">func</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">497</span>     <span class="k">if</span> <span class="n">result</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">498</span>         <span class="k">return</span> <span class="n">result</span>
-
-<span class="nn">File ~/.pyenv/versions/3.10.10/lib/python3.10/urllib/request.py:643,</span> in <span class="ni">HTTPDefaultErrorHandler.http_error_default</span><span class="nt">(self, req, fp, code, msg, hdrs)</span>
-<span class="g g-Whitespace">    </span><span class="mi">642</span> <span class="k">def</span> <span class="nf">http_error_default</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">req</span><span class="p">,</span> <span class="n">fp</span><span class="p">,</span> <span class="n">code</span><span class="p">,</span> <span class="n">msg</span><span class="p">,</span> <span class="n">hdrs</span><span class="p">):</span>
-<span class="ne">--&gt; </span><span class="mi">643</span>     <span class="k">raise</span> <span class="n">HTTPError</span><span class="p">(</span><span class="n">req</span><span class="o">.</span><span class="n">full_url</span><span class="p">,</span> <span class="n">code</span><span class="p">,</span> <span class="n">msg</span><span class="p">,</span> <span class="n">hdrs</span><span class="p">,</span> <span class="n">fp</span><span class="p">)</span>
-
-<span class="ne">HTTPError</span>: HTTP Error 404: Not Found
-</pre></div>
-</div>
-</div>
 </div>
 </section>
 <section id="network-data">
@@ -827,7 +697,7 @@ <h3>Network data<a class="headerlink" href="#network-data" title="Permalink to t
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/f93897a96746e788ff558fe4d780aaec3f291f99000ef78ecee2d067e4f236d8.png" src="../../_images/f93897a96746e788ff558fe4d780aaec3f291f99000ef78ecee2d067e4f236d8.png" />
+<img alt="../../_images/88de9ea49f4f4698d96a59bf348f1c678f6b79c309ce0f860aa4c38f4aaef9ac.png" src="../../_images/88de9ea49f4f4698d96a59bf348f1c678f6b79c309ce0f860aa4c38f4aaef9ac.png" />
 </div>
 </div>
 <p>The IEEE-118 network has 18 generators, of which:</p>
@@ -1511,9 +1381,8 @@ <h2>Solving the OPF problem<a class="headerlink" href="#solving-the-opf-problem"
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span>
-    <span class="sa">f</span><span class="s2">&quot;The average objective value over all instances is: </span><span class="si">{</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">([</span><span class="n">OPF1</span><span class="p">(</span><span class="n">instance</span><span class="p">)</span><span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="n">instance</span><span class="w"> </span><span class="ow">in</span><span class="w"> </span><span class="n">I</span><span class="p">])</span><span class="si">:</span><span class="s2">.2f</span><span class="si">}</span><span class="s2">&quot;</span>
-<span class="p">)</span>
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">sol1</span> <span class="o">=</span> <span class="p">[</span><span class="n">OPF1</span><span class="p">(</span><span class="n">instance</span><span class="p">)</span> <span class="k">for</span> <span class="n">instance</span> <span class="ow">in</span> <span class="n">I</span><span class="p">]</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;The average objective value over all instances is: </span><span class="si">{</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">sol1</span><span class="p">)</span><span class="si">:</span><span class="s2">.2f</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
 </div>
@@ -1658,9 +1527,8 @@ <h1>Strict fossil fuel policy pt.1<a class="headerlink" href="#strict-fossil-fue
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span>
-    <span class="sa">f</span><span class="s2">&quot;The average objective value over all instances is: </span><span class="si">{</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">([</span><span class="n">OPF2</span><span class="p">(</span><span class="n">instance</span><span class="p">)</span><span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="n">instance</span><span class="w"> </span><span class="ow">in</span><span class="w"> </span><span class="n">I</span><span class="p">])</span><span class="si">:</span><span class="s2">.2f</span><span class="si">}</span><span class="s2">&quot;</span>
-<span class="p">)</span>
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">sol2</span> <span class="o">=</span> <span class="p">[</span><span class="n">OPF2</span><span class="p">(</span><span class="n">instance</span><span class="p">)</span> <span class="k">for</span> <span class="n">instance</span> <span class="ow">in</span> <span class="n">I</span><span class="p">]</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;The average objective value over all instances is: </span><span class="si">{</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">sol2</span><span class="p">)</span><span class="si">:</span><span class="s2">.2f</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
 </div>
@@ -1826,14 +1694,13 @@ <h1>Strict fossil fuel policy pt.2<a class="headerlink" href="#strict-fossil-fue
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span>
-    <span class="sa">f</span><span class="s2">&quot;The average objective value over all instances is: </span><span class="si">{</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">([</span><span class="n">OPF3</span><span class="p">(</span><span class="n">instance</span><span class="p">)</span><span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="n">instance</span><span class="w"> </span><span class="ow">in</span><span class="w"> </span><span class="n">I</span><span class="p">])</span><span class="si">:</span><span class="s2">.2f</span><span class="si">}</span><span class="s2">&quot;</span>
-<span class="p">)</span>
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">sol3</span> <span class="o">=</span> <span class="p">[</span><span class="n">OPF3</span><span class="p">(</span><span class="n">instance</span><span class="p">)</span> <span class="k">for</span> <span class="n">instance</span> <span class="ow">in</span> <span class="n">I</span><span class="p">]</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;The average objective value over all instances is: </span><span class="si">{</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">sol3</span><span class="p">)</span><span class="si">:</span><span class="s2">.2f</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>The average objective value over all instances is: 41608.73
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>The average objective value over all instances is: 41623.27
 </pre></div>
 </div>
 </div>
@@ -1844,18 +1711,8 @@ <h1>Comparing the three models<a class="headerlink" href="#comparing-the-three-m
 <p>For all three implemented models, we plot the objective values for all instances and explain the differences between the objective values in view of the different feasible regions.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">objs</span> <span class="o">=</span> <span class="p">[</span>
-    <span class="p">[</span><span class="n">OPF1</span><span class="p">(</span><span class="n">instance</span><span class="p">)</span> <span class="k">for</span> <span class="n">instance</span> <span class="ow">in</span> <span class="n">I</span><span class="p">],</span>
-    <span class="p">[</span><span class="n">OPF2</span><span class="p">(</span><span class="n">instance</span><span class="p">)</span> <span class="k">for</span> <span class="n">instance</span> <span class="ow">in</span> <span class="n">I</span><span class="p">],</span>
-    <span class="p">[</span><span class="n">OPF3</span><span class="p">(</span><span class="n">instance</span><span class="p">)</span> <span class="k">for</span> <span class="n">instance</span> <span class="ow">in</span> <span class="n">I</span><span class="p">],</span>
-<span class="p">]</span>
-</pre></div>
-</div>
-</div>
-</div>
-<div class="cell docutils container">
-<div class="cell_input docutils container">
-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">objs</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">color</span><span class="o">=</span><span class="s2">&quot;blue&quot;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">&quot;OPF1&quot;</span><span class="p">)</span>
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">objs</span> <span class="o">=</span> <span class="p">[</span><span class="n">sol1</span><span class="p">,</span> <span class="n">sol2</span><span class="p">,</span> <span class="n">sol3</span><span class="p">]</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">objs</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">color</span><span class="o">=</span><span class="s2">&quot;blue&quot;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">&quot;OPF1&quot;</span><span class="p">)</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">objs</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">color</span><span class="o">=</span><span class="s2">&quot;green&quot;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">&quot;OPF2&quot;</span><span class="p">)</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">objs</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span> <span class="n">color</span><span class="o">=</span><span class="s2">&quot;orange&quot;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">&quot;OPF3&quot;</span><span class="p">)</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Optimal objective values over all instances and models&quot;</span><span class="p">)</span>
@@ -1867,7 +1724,7 @@ <h1>Comparing the three models<a class="headerlink" href="#comparing-the-three-m
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/703622920603465998e76e47a061edc99f9daa555973eb5683eca2c8e45e1f8f.png" src="../../_images/703622920603465998e76e47a061edc99f9daa555973eb5683eca2c8e45e1f8f.png" />
+<img alt="../../_images/e16fe7af2d2378b9d0385276d9f25fba90db593bf2b3e9099a1411083da0ae45.png" src="../../_images/e16fe7af2d2378b9d0385276d9f25fba90db593bf2b3e9099a1411083da0ae45.png" />
 </div>
 </div>
 <p>The goal of the OPF problem is to minimize the total costs of dispatching energy. OPF1 is the original OPF formulation, whereas OPF2 and OPF3 are restricted versions of OPF1. This means that the feasible region of OPF1 is at least as large as OPF2 and OPF3, where we may assume that <span class="math notranslate nohighlight">\(x_i = 1\)</span> for all the generators <span class="math notranslate nohighlight">\(i\)</span>.</p>
diff --git a/searchindex.js b/searchindex.js
index c71f4f84..26c60127 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"docnames": ["genindex", "intro", "notebooks/01/01.00", "notebooks/01/production-planning", "notebooks/01/production-planning-advanced", "notebooks/01/production-planning-basic", "notebooks/02/02.00", "notebooks/02/L1-regression-wine-quality", "notebooks/02/bim", "notebooks/02/bim-dual", "notebooks/02/bim-fractional", "notebooks/02/bim-maxmin", "notebooks/02/bim-rawmaterialplanning", "notebooks/02/lad-regression", "notebooks/02/mad-portfolio-optimization", "notebooks/02/multiproductionfaciliity_worstcase", "notebooks/03/03.00", "notebooks/03/bim-perturbed", "notebooks/03/bim-production-revisited", "notebooks/03/cryptarithms", "notebooks/03/facility-location", "notebooks/03/job-shop-scheduling", "notebooks/03/machine-scheduling", "notebooks/03/maintenance-planning", "notebooks/03/recharging-electric-vehicle", "notebooks/03/shift-scheduling", "notebooks/03/simple-production-model-gdp", "notebooks/03/strip-packing", "notebooks/04/04.00", 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Mixed Integer Linear Optimization", "BIM production with perturbed data", "BIM production revisited", "Extra material: Cryptarithms puzzle", "Facility location problem", "Extra material: Job shop scheduling", "Machine Scheduling", "Extra material: Maintenance planning", "Recharging strategy for an electric vehicle", "Workforce shift scheduling", "Production model using disjunctions", "Extra material: Strip packing", "4. Network Optimization", "Cryptocurrency arbitrage search", "Dinner seating arrangement", "Forex Arbitrage", "Gasoline distribution", "Scheduling as a graph coloring problem", "Minimum-Cost Flow Problem", "Extra material: Energy dispatch problem", "5. Convex Optimization", "Extra Material: Cutting Stock", "Markowitz portfolio optimization", "Milk pooling and blending", "Ordinary Least Squares (OLS) Regression", "Extra material: Refinery production and shadow pricing with CVXPY", "Support Vector Machines for Binary Classification", "6. Conic Optimization", "Optimal Design of Multilayered Building Insulation", "Economic Order Quantity", "Extra material: Luenberger\u2019s Investment Wheel", "The Kelly Criterion", "Markowitz portfolio optimization revisited", "Extra material: Optimal Growth Portfolios with Risk Aversion", "Training Support Vector Machines with Conic Optimization", "7. Accounting for Uncertainty: Optimization Meets Reality", "Robustness analysis of BIM production plan via simulations", "Fleet assignment problem", "8. Robust Optimization - Single Stage Problems", "Robust BIM microchip production problem", "9. Stochastic Optimization - Single Stage Problems", "Economic dispatch in energy systems", "Markowitz portfolio optimization with chance constraints", "Pop-up shop", "Stock optimization for seafood distribution center", "10. 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42, 50, 57, 65, 66], "broad": 2, "term": [2, 3, 4, 13, 17, 18, 20, 21, 25, 26, 29, 32, 33, 37, 39, 40, 42, 44, 45, 46, 47, 48, 49, 50, 53, 57, 59, 60, 63, 65, 66], "describ": [2, 3, 4, 6, 8, 12, 18, 21, 22, 23, 24, 25, 27, 29, 32, 34, 35, 37, 38, 41, 42, 44, 45, 48, 49, 57, 58, 59, 62, 66, 69], "wai": [2, 3, 4, 5, 8, 11, 13, 16, 20, 21, 22, 23, 28, 29, 30, 31, 32, 34, 35, 38, 45, 46, 48, 49, 50, 53, 57, 58, 63, 65, 66, 68, 69], "them": [2, 4, 5, 8, 9, 16, 18, 24, 29, 30, 36, 38, 39, 49, 53, 55, 58, 62, 63, 65, 66], "us": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 19, 20, 21, 23, 24, 25, 27, 28, 29, 30, 31, 32, 33, 34, 35, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 57, 59, 61, 64, 65, 66, 67], "dedic": [2, 55], "algorithm": [2, 3, 27, 29, 33, 45, 53, 63], "consist": [2, 5, 7, 13, 14, 20, 21, 25, 29, 31, 33, 35, 40, 42, 49, 50, 62, 68, 69], "three": [2, 4, 18, 21, 22, 25, 27, 31, 39, 49, 51, 59, 60, 62, 64, 68], "part": [2, 3, 21, 37, 42, 45, 50, 55, 63, 64, 65], 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3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 18, 19, 20, 21, 22, 25, 26, 27, 29, 30, 32, 33, 34, 36, 37, 38, 39, 40, 42, 44, 45, 46, 47, 48, 49, 53, 55, 57, 58, 60, 62, 63, 64, 65, 66, 67, 69], "evalu": [2, 5, 13, 42, 50, 63], "specif": [2, 3, 5, 6, 8, 10, 13, 14, 15, 17, 20, 25, 29, 30, 34, 35, 37, 38, 39, 41, 42, 45, 48, 53, 55, 57, 59, 60, 62, 63, 65, 67, 68, 69], "i": [2, 5, 6, 7, 8, 9, 12, 13, 14, 15, 16, 18, 20, 21, 22, 23, 24, 25, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 40, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 60, 62, 63, 65, 66, 69], "e": [2, 5, 7, 18, 19, 21, 22, 25, 27, 29, 30, 32, 33, 34, 35, 37, 38, 40, 41, 42, 44, 45, 46, 47, 49, 50, 53, 57, 58, 59, 60, 62, 63, 65, 66, 68, 69], "valu": [2, 3, 4, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 60, 62, 63, 65, 66, 68, 69], "earlier": [2, 5, 10, 21, 42, 45, 48, 52, 57, 59], "For": [2, 3, 5, 8, 10, 14, 16, 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35, 37, 39, 41, 44, 45, 52, 53, 57, 59, 60, 63, 64, 65, 66, 68], "number": [2, 3, 4, 5, 8, 9, 10, 13, 16, 17, 18, 19, 20, 22, 24, 25, 27, 29, 31, 33, 35, 37, 38, 40, 42, 43, 44, 46, 47, 48, 49, 50, 51, 53, 54, 55, 56, 58, 59, 60, 61, 62, 63, 64, 65, 66, 69], "satisfi": [2, 3, 9, 15, 16, 18, 19, 20, 27, 29, 30, 31, 32, 34, 39, 42, 46, 47, 49, 57, 59, 62, 65], "custom": [2, 20, 21, 29, 32, 37, 39, 42, 51, 57, 62, 69], "restrict": [2, 16, 25, 30, 33, 35, 46, 49, 53, 55, 68, 69], "possibl": [2, 4, 5, 6, 9, 13, 15, 16, 17, 18, 19, 20, 21, 24, 27, 29, 30, 32, 33, 34, 35, 38, 39, 40, 42, 47, 50, 53, 55, 57, 58, 60, 62, 63, 64, 65, 66, 68, 69], "condit": [2, 3, 8, 15, 18, 23, 24, 26, 27, 29, 30, 42, 44, 50, 55, 59, 64, 68, 69], "must": [2, 3, 5, 19, 21, 23, 26, 27, 29, 31, 32, 35, 38, 39, 44, 53, 63, 64, 65, 66, 68], "requir": [2, 3, 4, 8, 12, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 37, 39, 45, 47, 52, 53, 57, 59, 62, 63, 64, 66, 68, 69], "maximum": [2, 3, 8, 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60, 69], "alwai": [2, 4, 10, 12, 17, 24, 35, 38, 40, 42, 46, 47, 48, 50, 51, 55, 58, 62, 68], "flaw": 2, "challeng": [2, 8, 19, 27, 31, 37, 39, 42], "follow": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 45, 46, 47, 49, 50, 51, 52, 53, 55, 57, 59, 60, 62, 63, 64, 65, 66, 68, 69], "given": [2, 3, 4, 5, 7, 8, 9, 11, 13, 14, 15, 17, 18, 20, 21, 22, 24, 25, 26, 27, 29, 30, 31, 32, 35, 37, 39, 42, 44, 45, 46, 47, 49, 50, 51, 53, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66, 68, 69], "f": [2, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66, 68, 69], "x": [2, 4, 6, 7, 8, 10, 11, 12, 13, 15, 16, 17, 18, 20, 23, 24, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 47, 48, 50, 52, 53, 55, 57, 58, 59, 60, 63, 64, 65, 66, 68, 69], "mathbb": [2, 6, 8, 13, 16, 17, 18, 26, 35, 37, 38, 40, 42, 45, 46, 47, 49, 50, 55, 57, 58, 59, 60, 62, 65, 66], "r": [2, 4, 6, 8, 13, 14, 16, 18, 19, 21, 22, 24, 25, 27, 29, 31, 32, 35, 37, 38, 39, 40, 42, 44, 45, 46, 47, 48, 49, 50, 53, 55, 58, 59, 60, 62, 63, 64, 65, 66, 68], "subseteq": [2, 16, 33, 35, 53], "n": [2, 6, 7, 8, 9, 13, 16, 17, 18, 19, 20, 21, 23, 24, 25, 27, 29, 30, 31, 32, 33, 35, 37, 38, 39, 40, 42, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 60, 62, 63, 69], "being": [2, 5, 6, 8, 33, 35, 38, 39, 50, 53, 66], "y": [2, 4, 7, 8, 9, 13, 14, 18, 19, 20, 23, 24, 26, 27, 29, 30, 31, 32, 34, 35, 38, 39, 40, 41, 42, 44, 45, 47, 48, 49, 50, 55, 57, 59, 60, 63, 64, 66, 68, 69], "geq": [2, 6, 8, 9, 10, 12, 13, 14, 15, 16, 17, 18, 21, 22, 24, 25, 26, 27, 29, 30, 31, 32, 34, 35, 37, 38, 39, 40, 42, 44, 45, 46, 47, 48, 49, 50, 55, 57, 58, 60, 62, 63, 65, 66, 68], "foral": [2, 4, 7, 11, 12, 13, 14, 15, 18, 19, 20, 22, 23, 24, 25, 27, 29, 30, 32, 33, 34, 35, 37, 38, 39, 40, 42, 45, 46, 48, 49, 50, 53, 55, 57, 59, 62, 63, 65, 66], "least": [2, 6, 7, 12, 18, 22, 24, 33, 35, 36, 37, 39, 52, 53, 63, 64], "good": [2, 4, 5, 7, 15, 20, 27, 29, 33, 34, 38, 46, 49, 59, 63, 64, 69], "similarli": [2, 8, 13, 18, 35, 40], "chang": [2, 4, 5, 10, 14, 15, 21, 23, 24, 27, 29, 30, 32, 33, 35, 38, 39, 40, 41, 48, 51, 53, 55, 57, 58, 62, 63, 65, 68, 69], "last": [2, 12, 18, 22, 23, 24, 29, 35, 38, 39, 52, 53, 55, 64, 66], "leq": [2, 3, 4, 8, 9, 10, 11, 12, 14, 15, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 32, 33, 34, 35, 37, 38, 39, 42, 44, 45, 46, 47, 48, 49, 50, 53, 55, 57, 58, 59, 62, 63, 65, 66, 69], "case": [2, 3, 4, 5, 7, 8, 13, 16, 20, 21, 25, 26, 27, 29, 30, 32, 37, 40, 42, 46, 47, 49, 50, 55, 57, 59, 60, 66, 68, 69], "refer": [2, 3, 4, 6, 8, 13, 16, 20, 24, 27, 29, 32, 34, 39, 40, 42, 47, 50, 65, 69], "begin": [2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 32, 33, 34, 35, 37, 38, 39, 40, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 65, 66, 68, 69], "align": [2, 3, 4, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 32, 33, 34, 35, 37, 38, 39, 40, 42, 44, 45, 46, 47, 48, 49, 50, 53, 55, 57, 58, 59, 60, 62, 63, 65, 66, 68, 69], "min": [2, 6, 7, 8, 9, 11, 13, 14, 16, 18, 20, 22, 24, 25, 27, 29, 30, 32, 33, 34, 35, 37, 39, 40, 42, 44, 45, 46, 50, 53, 55, 57, 59, 60, 63, 65, 66, 69], "quad": [2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18, 20, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 37, 38, 40, 42, 44, 45, 46, 47, 48, 49, 50, 53, 58, 59, 60, 62, 63, 65, 68, 69], "text": [2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 42, 44, 45, 46, 47, 48, 49, 50, 53, 55, 57, 58, 59, 60, 62, 63, 65, 66, 68, 69], "t": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66, 68, 69], "end": [2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 32, 33, 34, 35, 37, 38, 39, 40, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 65, 66, 68, 69], "lead": [2, 14, 17, 18, 19, 20, 21, 22, 26, 29, 36, 39, 42, 44, 50, 55, 57, 63, 66, 69], "techniqu": [2, 7, 11, 13, 21, 22, 23, 26, 32, 42, 45, 49, 57, 63, 65], "introductori": [2, 61], "present": [2, 4, 5, 7, 8, 13, 14, 24, 29, 31, 32, 35, 37, 39, 40, 41, 42, 46, 47, 48, 49, 50, 53, 62, 64, 66, 68, 69], "simpl": [2, 3, 4, 5, 12, 21, 26, 30, 31, 36, 37, 39, 41, 42, 45, 50, 55, 68, 69], "context": [2, 15, 25, 33, 34, 35, 58, 63, 66], "plan": [2, 4, 5, 10, 11, 15, 16, 18, 24, 25, 27, 39, 45, 51, 59, 61], "explain": [2, 7, 35, 39, 50, 57, 66], "structur": [2, 4, 8, 17, 26, 28, 30, 37, 44, 62, 63, 65, 66, 68, 69], "formal": [2, 16], "implement": [2, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 19, 22, 24, 27, 28, 29, 32, 35, 36, 37, 38, 39, 43, 44, 45, 46, 51, 54, 56, 57, 58, 59, 61, 62, 63, 68, 69], "second": [2, 4, 5, 10, 13, 18, 21, 27, 29, 31, 32, 33, 35, 37, 38, 39, 42, 50, 60, 61, 62, 63, 64, 65, 66], "also": [2, 3, 4, 5, 8, 11, 12, 14, 15, 18, 20, 22, 23, 25, 29, 30, 35, 36, 38, 39, 41, 42, 45, 53, 55, 58, 62, 63, 65, 66, 69], "serv": [2, 4, 5, 20, 34, 53, 63], "tutori": [2, 25, 37, 46, 47, 69], "lastli": [2, 3, 62, 63, 66], "discuss": [2, 32, 39, 42, 45, 50, 51, 63], "some": [2, 3, 4, 5, 7, 8, 13, 16, 21, 23, 27, 29, 30, 32, 33, 35, 39, 40, 41, 42, 44, 46, 47, 49, 50, 55, 57, 63, 65, 66, 68, 69], "advanc": [2, 3, 5, 23, 39, 45, 51, 63, 65, 66], "featur": [2, 4, 5, 6, 8, 13, 16, 20, 21, 22, 23, 27, 34, 39, 40, 47, 49, 60, 62, 68, 69], "third": [2, 4, 5, 32], "go": [2, 6, 8, 13, 14, 16, 21, 28, 30, 35, 36, 39, 40, 43, 51, 53, 54, 56, 63, 64, 65, 68], "next": [2, 3, 4, 5, 6, 7, 8, 12, 15, 16, 18, 21, 22, 23, 25, 28, 29, 30, 32, 34, 36, 38, 43, 46, 50, 51, 53, 54, 56, 57, 60, 64, 65, 66], "about": [2, 6, 8, 16, 20, 24, 28, 29, 30, 36, 39, 43, 51, 54, 56, 57, 59, 62, 63, 65], "linear": [2, 3, 5, 7, 8, 10, 11, 12, 13, 14, 15, 17, 19, 20, 22, 23, 26, 29, 31, 35, 36, 39, 40, 41, 55, 57, 60, 61, 62, 63, 65], "compani": [3, 6, 8, 12, 17, 18, 34, 39, 45, 51, 52, 53, 55, 63], "produc": [3, 4, 7, 8, 10, 12, 15, 17, 21, 23, 26, 29, 31, 32, 35, 37, 39, 42, 46, 47, 52, 53, 55, 57, 63, 65, 66, 68], "two": [3, 4, 5, 6, 8, 12, 13, 14, 16, 17, 19, 20, 21, 23, 25, 26, 29, 30, 31, 32, 33, 37, 39, 42, 45, 47, 50, 53, 55, 56, 57, 59, 60, 65, 68, 69], "version": [3, 4, 5, 10, 18, 20, 29, 30, 35, 39, 45, 53, 54, 55, 63, 65, 66, 69], "each": [3, 4, 5, 8, 9, 12, 13, 14, 18, 19, 21, 22, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 42, 46, 47, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66, 68, 69], "raw": [3, 5, 8, 12, 18, 26, 29, 35, 39, 42, 50, 52, 57, 63, 65, 66], "10": [3, 4, 5, 7, 10, 11, 12, 13, 14, 15, 18, 19, 20, 21, 22, 23, 24, 25, 27, 29, 30, 31, 32, 33, 34, 35, 37, 39, 41, 42, 44, 45, 46, 47, 49, 50, 52, 53, 57, 59, 60, 62, 63, 64, 65, 66, 68, 69], "per": [3, 8, 10, 12, 14, 18, 23, 24, 25, 26, 29, 32, 34, 37, 44, 45, 52, 60, 63, 64, 65], "gram": [3, 18, 42, 50], "special": [3, 4, 11, 12, 13, 16, 28, 30, 37, 40, 45, 62, 69], "labor": [3, 4, 26, 63, 68], "finish": [3, 12, 18, 21, 22, 23, 26, 37, 52, 53, 69], "u": [3, 4, 5, 14, 18, 23, 29, 34, 42, 44, 45, 46, 49, 50, 53, 55, 57, 63, 68, 69], "higher": [3, 14, 26, 29, 39, 42, 47, 50, 52, 57, 59, 63, 65], "270": [3, 4, 5, 26, 29, 63, 66, 68], "unit": [3, 4, 5, 10, 12, 14, 15, 18, 23, 24, 26, 29, 31, 32, 34, 35, 39, 44, 45, 47, 52, 57, 58, 59, 60, 62, 63, 64, 65, 68], "one": [3, 4, 5, 6, 8, 9, 13, 14, 15, 17, 18, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 37, 38, 39, 40, 42, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 55, 57, 58, 59, 62, 63, 64, 65, 66], "hour": [3, 4, 21, 24, 25, 26, 53, 63], "b": [3, 4, 5, 6, 7, 8, 13, 15, 16, 18, 19, 21, 22, 25, 26, 29, 32, 34, 35, 37, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 53, 60, 62, 63, 65, 66, 68, 69], "due": [3, 4, 12, 14, 18, 29, 35, 38, 39, 51, 52, 55, 59, 62, 64, 65, 69], "market": [3, 4, 14, 15, 29, 31, 39, 46, 47, 49, 62, 63, 64], "limit": [3, 5, 12, 18, 20, 21, 24, 25, 26, 29, 32, 35, 37, 39, 41, 44, 46, 49, 52, 57, 63, 65, 66, 69], "40": [3, 4, 5, 7, 24, 25, 26, 29, 32, 33, 37, 44, 45, 46, 59, 62, 63, 64, 68, 69], "week": [3, 25, 33, 62], "v": [3, 4, 5, 14, 20, 21, 24, 29, 30, 33, 34, 35, 39, 42, 45, 46, 50, 53, 57, 63, 65, 66, 68, 69], "lower": [3, 4, 5, 12, 14, 21, 29, 31, 32, 37, 39, 40, 55, 59, 62, 64, 65, 69], "unlimit": [3, 4, 26, 37, 39, 63], "210": [3, 4, 5, 26, 35, 62, 63, 64, 68], "9": [3, 4, 5, 7, 8, 9, 10, 11, 12, 14, 15, 17, 19, 20, 21, 22, 23, 24, 25, 27, 29, 30, 31, 32, 34, 35, 37, 38, 39, 41, 42, 45, 50, 51, 52, 53, 55, 62, 63, 66, 68], "1": [3, 4, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 33, 34, 37, 38, 40, 41, 42, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 61, 63, 65, 66, 68, 69], "summar": [3, 4, 25, 32, 35, 39, 42, 50, 59, 62, 63, 64], "tabl": [3, 4, 18, 21, 22, 24, 26, 27, 31, 42, 46, 52, 53, 55, 59, 60, 62, 64, 69], "g": [3, 4, 5, 8, 14, 18, 20, 22, 27, 29, 30, 31, 32, 33, 34, 35, 39, 40, 42, 44, 45, 50, 53, 55, 60, 65, 66, 68], "hr": [3, 4, 24, 53], "2": [3, 4, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 33, 34, 37, 38, 40, 41, 42, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 63, 65, 66, 68, 69], "weekli": [3, 25], "avail": [3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 41, 42, 45, 46, 48, 49, 50, 52, 53, 55, 57, 59, 60, 62, 63, 66, 68], "inventori": [3, 12, 18, 29, 45, 52, 59, 60], "shelf": 3, "life": [3, 22, 30, 36, 44, 53], "order": [3, 4, 10, 12, 18, 21, 22, 25, 30, 32, 35, 37, 41, 42, 43, 50, 52, 53, 59, 63], "left": [3, 7, 8, 9, 10, 12, 13, 21, 22, 23, 24, 25, 27, 30, 32, 37, 39, 40, 42, 44, 45, 47, 49, 50, 52, 53, 57, 60, 62, 63, 65], "over": [3, 4, 10, 11, 14, 18, 21, 23, 25, 29, 30, 35, 37, 39, 41, 42, 45, 47, 50, 52, 59, 62, 63, 64, 68, 69], "discard": 3, "detail": [3, 8, 20, 25, 42, 44, 50, 59], "resourc": [3, 4, 15, 21, 25, 27, 29, 30, 37, 52, 64, 65, 68], "amount": [3, 4, 12, 15, 16, 17, 18, 21, 22, 25, 29, 31, 32, 34, 38, 39, 51, 52, 55, 57, 58, 60, 63, 64, 65, 69], "80": [3, 4, 5, 26, 29, 32, 35, 41, 47, 49, 50, 63, 64, 66, 68], "50": [3, 4, 5, 9, 14, 18, 24, 26, 29, 31, 32, 35, 37, 39, 42, 44, 45, 52, 55, 60, 62, 63, 64, 66, 68, 69], "100": [3, 4, 5, 10, 18, 19, 20, 22, 24, 26, 29, 31, 32, 35, 37, 39, 41, 42, 45, 47, 49, 50, 52, 55, 57, 60, 62, 63, 64, 65, 66, 68, 69], "want": [3, 14, 17, 18, 20, 29, 32, 33, 38, 40, 42, 48, 55, 58, 62, 63, 69], "its": [3, 5, 7, 8, 9, 13, 14, 20, 22, 30, 34, 40, 42, 45, 50, 55, 63, 65, 68, 69], "gross": [3, 46, 47, 49], "profit": [3, 4, 5, 6, 8, 9, 10, 17, 23, 26, 29, 32, 37, 39, 41, 55, 62, 63, 64, 68, 69], "much": [3, 8, 12, 13, 17, 18, 23, 24, 27, 30, 33, 37, 44, 47, 51, 63, 65, 66], "abov": [3, 4, 6, 8, 11, 12, 13, 14, 17, 18, 22, 23, 24, 29, 30, 32, 33, 35, 37, 39, 40, 44, 45, 46, 48, 49, 50, 52, 55, 57, 60, 62, 63, 65, 69], "optim": [3, 4, 5, 9, 10, 11, 13, 17, 20, 21, 23, 24, 25, 27, 29, 30, 31, 32, 33, 34, 40, 41, 45, 46, 52, 53, 55, 57, 59, 61, 67, 69], "reformul": [3, 5, 10, 13, 14, 44, 46, 47, 49, 50, 55, 62], "involv": [3, 5, 6, 8, 11, 21, 31, 39, 42, 45, 46, 47, 49], "few": [3, 4, 5, 32, 33, 42, 62, 68], "crucial": [3, 35], "element": [3, 4, 5, 8, 25, 30, 32, 42, 44, 47, 50, 65, 68, 69], "start": [3, 5, 7, 8, 13, 14, 18, 21, 22, 23, 24, 27, 29, 31, 33, 37, 49, 55, 62, 63], "point": [3, 4, 7, 8, 13, 16, 20, 23, 27, 29, 34, 39, 40, 41, 42, 45, 47, 50, 55, 60, 62, 66, 69], "list": [3, 4, 8, 14, 19, 21, 24, 25, 26, 29, 30, 31, 33, 35, 37, 42, 44, 46, 49, 50, 52, 53, 57, 60, 62, 63, 65, 68, 69], "relev": [3, 4, 18, 20, 27, 29, 66, 68, 69], "hand": [3, 4, 8, 9, 17, 20, 24, 25, 29, 30, 31, 42, 50, 55, 57, 59], "quantiti": [3, 8, 11, 12, 18, 34, 35, 37, 39, 43, 51, 52, 55, 63], "modifi": [3, 5, 17, 20, 21, 23, 29, 31, 42, 55, 57, 62, 65, 66, 68, 69], "achiev": [3, 11, 14, 23, 25, 38, 42, 50, 65, 68], "outcom": [3, 15, 32, 42, 46, 50, 57, 59, 63], "while": [3, 5, 8, 9, 12, 14, 17, 18, 20, 21, 24, 25, 26, 29, 33, 34, 35, 37, 42, 48, 49, 50, 51, 52, 53, 55, 57, 59, 62, 63, 65, 66], "stage": [3, 5, 27, 39, 46, 47, 60, 64, 65, 68, 69], "prove": [3, 8], "redund": [3, 69], "later": [3, 4, 5, 15, 21, 24, 27, 45, 47, 66, 69], "creat": [3, 12, 13, 14, 15, 19, 21, 22, 23, 27, 29, 30, 31, 33, 35, 37, 39, 42, 45, 46, 49, 50, 57, 59, 62, 63, 64, 68, 69], "comprehens": [3, 7, 42, 50], "below": [3, 5, 9, 11, 12, 14, 17, 20, 21, 24, 29, 30, 35, 37, 39, 42, 44, 45, 46, 50, 55, 57, 60, 62, 63, 66, 69], "symbol": [3, 14, 22, 29, 31, 32, 49, 59, 68, 69], "descript": [3, 15, 21, 32, 42, 51, 55, 66], "upper": [3, 4, 5, 9, 12, 14, 21, 22, 23, 24, 29, 32, 33, 37, 38, 39, 40, 44, 45, 52, 55, 60, 68, 69], "bound": [3, 4, 5, 9, 14, 19, 21, 22, 23, 24, 26, 29, 30, 31, 33, 37, 38, 39, 42, 44, 53, 55, 57, 63, 64, 66, 68], "known": [3, 4, 5, 7, 13, 14, 19, 21, 22, 23, 27, 33, 38, 39, 40, 42, 44, 45, 47, 49, 50, 53, 57, 59, 63, 64, 65, 66], "x_m": [3, 5, 60], "0": [3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66, 68, 69], "x_a": [3, 5], "x_b": [3, 5], "y_u": [3, 5], "y_v": [3, 5], "measur": [3, 7, 10, 14, 23, 24, 25, 29, 39, 42, 50, 51], "max": [3, 4, 7, 8, 9, 10, 11, 14, 15, 17, 21, 22, 23, 24, 25, 26, 27, 29, 35, 37, 38, 39, 41, 42, 44, 46, 47, 48, 50, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66, 68], "equal": [3, 5, 6, 7, 8, 10, 12, 15, 16, 23, 25, 26, 27, 29, 30, 32, 33, 34, 38, 39, 40, 41, 44, 45, 46, 47, 49, 53, 55, 57, 59, 60, 62, 63, 65, 66], "between": [3, 4, 5, 8, 10, 13, 14, 20, 21, 24, 25, 27, 29, 31, 32, 34, 35, 36, 38, 39, 40, 42, 44, 46, 47, 48, 50, 53, 57, 64, 65, 66, 68, 69], "revenu": [3, 4, 5, 10, 11, 41, 59, 62, 64, 68], "written": [3, 4, 5, 15, 42, 45, 58, 59, 62, 68, 69], "As": [3, 4, 5, 8, 14, 18, 21, 25, 29, 30, 31, 39, 42, 45, 46, 50, 53, 59, 60, 63, 66, 69], "shown": [3, 5, 39, 42, 45, 46, 69], "here": [3, 4, 5, 10, 12, 13, 21, 22, 24, 25, 26, 29, 31, 39, 40, 42, 45, 46, 47, 49, 52, 53, 55, 57, 58, 59, 62, 63, 66, 68, 69], "algebra": [3, 5, 19, 41, 42, 45], "combin": [3, 4, 5, 18, 19, 29, 39, 44, 53, 57, 63, 65, 68, 69], "name": [3, 4, 5, 9, 10, 12, 13, 14, 15, 17, 18, 20, 21, 22, 24, 25, 29, 30, 32, 35, 37, 40, 41, 42, 48, 50, 59, 60, 62, 65, 66], "when": [3, 4, 5, 7, 8, 12, 13, 16, 20, 21, 22, 23, 24, 25, 29, 31, 32, 35, 39, 41, 42, 43, 45, 46, 47, 50, 57, 59, 60, 63, 64, 65, 66, 67, 68], "place": [3, 4, 29, 30, 31, 35, 39, 45, 46, 59, 68, 69], "break": [3, 4, 29, 33, 53, 57, 63, 66], "up": [3, 4, 5, 12, 16, 17, 18, 19, 21, 23, 29, 37, 42, 46, 47, 50, 52, 56, 57, 62, 63, 64], "longer": [3, 20, 21, 30, 45, 50, 53, 57, 62, 68], "smaller": [3, 4, 10, 16, 27, 51, 57], "simplifi": [3, 5, 24, 27, 50, 62, 68, 69], "relationship": [3, 5, 13, 22, 24, 25, 27, 29, 31, 44, 45, 46, 69], "inequ": [3, 6, 8, 9, 39, 47, 55, 65], "overal": [3, 8, 15, 25, 39, 44], "now": [3, 4, 5, 7, 8, 12, 14, 18, 20, 21, 24, 25, 27, 29, 30, 31, 32, 33, 34, 35, 37, 42, 45, 46, 47, 48, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 65, 66, 68], "readi": [3, 29, 31, 45, 50, 63], "full": [3, 7, 13, 20, 23, 24, 32, 37, 39, 40, 42, 44, 49, 50, 55, 62, 63, 69], "canon": [3, 6, 38], "nonumb": [3, 4, 30], "textbook": [3, 20, 63, 64], "customari": [3, 8, 50], "under": [3, 14, 15, 18, 20, 25, 26, 52, 57, 59, 62, 63, 64, 68], "clearli": [3, 4, 7, 18, 20, 23, 25, 39, 53, 63, 66], "distinguish": [3, 29, 66, 69], "paramet": [3, 4, 5, 18, 21, 23, 29, 32, 33, 35, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 50, 51, 55, 57, 59, 60, 62, 63, 65, 66, 68], "might": [3, 15, 16, 27, 29, 31, 33, 35, 36, 39, 42, 51, 59, 65, 68], "letter": [3, 19, 45, 63], "throughout": [3, 8, 29, 63, 69], "websit": 3, "howev": [3, 4, 8, 13, 15, 16, 17, 18, 20, 28, 29, 30, 31, 33, 35, 36, 39, 42, 44, 45, 48, 49, 50, 53, 55, 57, 59, 62, 63, 65, 66, 69], "stick": 3, "convent": [3, 5, 6, 8, 57, 65, 66], "onli": [3, 4, 7, 8, 9, 16, 18, 20, 21, 24, 25, 26, 27, 29, 30, 32, 33, 35, 37, 39, 42, 45, 49, 53, 55, 57, 59, 62, 63, 64, 65, 69], "explicitli": [3, 8, 17, 29, 30, 31, 50, 53, 62, 64, 69], "domain": [3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 48, 52, 53, 55, 57, 58, 59, 60, 62, 63, 65, 66, 68], "vector": [3, 6, 8, 11, 12, 13, 35, 36, 38, 40, 41, 43, 58, 62, 63], "minimum": [3, 11, 12, 14, 16, 21, 24, 25, 28, 29, 33, 35, 37, 39, 44, 53, 62, 64], "even": [3, 5, 20, 25, 29, 30, 39, 42, 48, 50, 53, 62, 63, 65, 66], "like": [3, 4, 8, 9, 11, 12, 14, 18, 29, 30, 31, 32, 37, 39, 42, 50, 52, 62, 63, 65, 66], "immedi": [3, 21, 29], "clear": [3, 9, 17, 36, 57, 63, 69], "what": [3, 8, 15, 21, 22, 25, 29, 31, 39, 41, 43, 46, 47, 51, 55, 57, 59, 62, 63, 64, 66, 68], "exactli": [3, 14, 33, 34, 35, 45, 50, 51, 53, 55, 62, 63, 66], "where": [3, 4, 5, 6, 7, 8, 9, 12, 13, 14, 15, 16, 18, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 35, 37, 38, 39, 41, 42, 44, 45, 46, 47, 48, 49, 50, 53, 55, 57, 59, 60, 62, 63, 65, 66, 68, 69], "come": [3, 4, 14, 15, 30, 36, 42, 50, 63], "plai": [3, 8, 36, 46, 50, 53, 63], "thei": [3, 5, 8, 16, 18, 22, 24, 29, 30, 31, 32, 36, 37, 39, 42, 49, 51, 53, 57, 62, 63, 65, 66, 68, 69], "procedur": [3, 37, 55, 63], "long": [3, 4, 14, 16, 22, 25, 29, 46, 47, 60, 63, 69], "standard": [3, 5, 6, 8, 13, 14, 22, 29, 35, 39, 41, 42, 50, 58, 62, 69], "fashion": [3, 4, 53], "practition": [3, 49], "often": [3, 4, 16, 21, 28, 32, 35, 51, 63, 66, 69], "boil": 3, "down": [3, 17, 23, 29, 30, 35, 47, 62, 63, 64], "pass": [3, 4, 5, 18, 20, 21, 24, 28, 42, 50, 68], "softwar": [3, 26], "regardless": [3, 4, 8, 12, 18, 29, 46, 52, 60], "wa": [3, 7, 14, 25, 29, 30, 32, 35, 36, 37, 39, 45, 46, 47, 48, 49, 53, 55, 59, 63, 65], "stori": [3, 46, 47], "behind": 3, "To": [3, 5, 8, 18, 21, 22, 23, 24, 25, 27, 29, 30, 35, 37, 39, 42, 44, 45, 49, 50, 53, 55, 57, 59, 60, 62, 63, 65, 66, 68], "do": [3, 4, 8, 20, 23, 25, 29, 30, 31, 33, 35, 39, 41, 45, 53, 55, 57, 62, 63, 65, 66, 68, 69], "interfac": [3, 4, 5, 14, 45, 69], "commun": [3, 5, 7, 20, 25, 27, 64], "adopt": [3, 8, 26, 32, 42, 44, 47, 55], "python": [3, 5, 8, 13, 17, 20, 21, 25, 29, 30, 32, 37, 40, 41, 42, 45, 50, 53, 57, 66, 68, 69], "base": [3, 5, 7, 12, 13, 19, 21, 26, 29, 32, 35, 40, 41, 42, 47, 49, 50, 51, 52, 57, 63, 65, 68, 69], "carri": [3, 24, 35], "ll": [4, 31, 39], "revisit": [4, 16, 25, 43, 61], "time": [4, 5, 6, 8, 14, 18, 20, 23, 24, 25, 26, 27, 30, 31, 33, 35, 36, 37, 39, 40, 42, 45, 46, 49, 50, 51, 52, 53, 57, 59, 62, 63, 65, 66, 68, 69], "capabl": [4, 7, 26, 39, 55], "scale": [4, 7, 29, 30, 35, 37, 39, 42, 57, 60, 62, 63, 66], "enabl": [4, 5, 28, 29, 45, 50, 68], "vari": [4, 12, 38, 50, 52, 55, 57, 64], "addit": [4, 6, 7, 12, 15, 18, 21, 23, 25, 27, 29, 37, 42, 45, 47, 49, 50, 59, 62, 63, 66, 68, 69], "compon": [4, 5, 8, 13, 14, 18, 22, 26, 38, 45, 50, 58, 69], "index": [4, 5, 8, 12, 13, 14, 15, 18, 19, 20, 21, 22, 23, 24, 25, 27, 29, 30, 31, 32, 35, 37, 39, 40, 41, 42, 44, 45, 49, 50, 52, 53, 57, 59, 62, 64, 65, 68], "essenti": [4, 22, 29, 30, 37, 42, 50, 53, 55, 63], "scalabl": [4, 6], "maintain": [4, 5, 8, 27, 29, 45, 66, 69], "more": [4, 5, 8, 10, 11, 13, 14, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 31, 32, 35, 37, 38, 39, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 59, 60, 62, 63, 64, 65, 66, 68, 69], "analysi": [4, 7, 8, 12, 13, 21, 29, 32, 39, 42, 46, 47, 50, 51, 53, 55, 62, 69], "examin": [4, 7, 17, 39, 49], "identifi": [4, 5, 16, 18, 24, 27, 29, 31, 34, 37, 39, 42, 44, 45, 47, 50, 62, 66, 69], "underli": [4, 40, 63], "verifi": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 38, 48, 50, 52, 53, 55, 57, 59, 60, 62, 66], "high": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 39, 42, 44, 49, 50, 52, 55, 57, 59, 60, 63, 65, 66, 69], "via": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 38, 48, 50, 51, 55, 57, 60, 66], "appsi": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 35, 52, 55, 60, 66], "modul": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66, 68], "elsewher": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 35, 38, 48, 52, 55, 57, 60, 66, 69], "assum": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 35, 37, 38, 39, 42, 44, 45, 48, 49, 50, 51, 52, 53, 55, 57, 58, 59, 60, 62, 63, 65, 66, 68, 69], "cbc": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 35, 37, 39, 41, 42, 52, 53, 55, 59, 60, 62, 63, 64, 65, 66, 68], "been": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 36, 37, 38, 39, 42, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 60, 62, 64, 66, 68, 69], "previous": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 35, 38, 47, 48, 50, 52, 53, 55, 57, 60, 62, 65, 66, 68, 69], "solverfactori": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66, 68, 69], "It": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 34, 35, 38, 45, 48, 52, 55, 57, 60, 63, 65, 66], "sy": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66, 68], "pip": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66, 68], "dev": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66], "null": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66], "highspi": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 41, 52, 53, 55, 59, 60, 62, 63, 64, 65, 66], "environ": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 57, 58, 59, 60, 62, 63, 64, 65, 66, 68, 69], "appsi_high": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 41, 53, 55, 59, 60, 62, 63, 64, 65, 66], "els": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 29, 31, 33, 34, 35, 38, 42, 44, 45, 47, 48, 49, 50, 52, 53, 55, 60, 62, 63, 65, 66, 68, 69], "assert": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 38, 48, 52, 55, 57, 60], "basic": [4, 16, 17, 21, 27, 42, 55, 65, 68, 69], "previou": [4, 9, 12, 15, 18, 28, 29, 35, 42, 45, 50, 51, 63], "were": [4, 18, 27, 30, 35, 42, 49, 62, 65], "distinct": [4, 22, 29], "evid": [4, 20], "compris": [4, 21, 23, 25, 31, 37, 40, 59, 68, 69], "abbrevi": [4, 29, 68], "m": [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66, 68, 69], "factor": [4, 7, 20, 42, 44, 48, 50, 55, 62, 65, 69], "attribut": [4, 5, 7, 14, 29, 35, 37, 45, 65, 68, 69], "built": [4, 20, 57], "librari": [4, 5, 8, 13, 21, 29, 30, 32, 33, 35, 40, 41, 44, 45, 47, 49, 50, 69], "handl": [4, 23, 26, 35, 45, 68], "tabular": [4, 5], "sever": [4, 5, 6, 7, 11, 16, 19, 24, 26, 28, 29, 36, 37, 39, 42, 49, 57, 69], "option": [4, 5, 14, 21, 27, 29, 33, 35, 41, 42, 50, 63, 65, 68, 69], "would": [4, 7, 8, 12, 15, 17, 18, 19, 21, 25, 26, 29, 31, 32, 33, 35, 39, 42, 45, 48, 49, 50, 52, 53, 55, 57, 59, 62, 63, 64, 65, 66, 68], "appropri": [4, 5, 42, 50], "task": [4, 16, 20, 24, 29, 30, 32, 37, 42, 53], "nest": [4, 37, 63, 68, 69], "dictionari": [4, 18, 21, 29, 34, 35, 37, 42, 45, 50, 53, 57, 63, 69], "column": [4, 5, 7, 12, 14, 15, 18, 20, 22, 24, 25, 29, 30, 31, 32, 35, 39, 42, 45, 49, 50, 52, 53, 62, 64, 66, 69], "show": [4, 5, 7, 9, 12, 13, 14, 18, 20, 21, 22, 24, 25, 26, 27, 29, 30, 31, 32, 33, 35, 37, 38, 39, 40, 42, 44, 45, 47, 48, 49, 51, 52, 53, 55, 57, 59, 60, 62, 63, 66, 68, 69], "repres": [4, 6, 8, 18, 19, 22, 23, 25, 31, 33, 34, 35, 37, 39, 42, 44, 45, 46, 47, 49, 50, 57, 59, 68, 69], "kei": [4, 5, 8, 14, 20, 21, 29, 32, 33, 34, 35, 37, 40, 46, 49, 52, 53, 57, 59, 60, 63, 65, 66, 68, 69], "outermost": 4, "inner": [4, 42, 50], "float": [4, 30, 42, 50, 52, 60, 69], "none": [4, 5, 7, 20, 21, 27, 29, 30, 32, 34, 35, 40, 42, 45, 47, 50, 52, 57, 66, 68], "print": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 22, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 59, 60, 62, 63, 64, 65, 66, 68], "item": [4, 21, 30, 32, 34, 35, 37, 50, 53, 57, 59, 60, 65, 66, 69], "consum": [4, 21, 35, 57, 65, 69], "8s": [4, 29, 49], "row": [4, 5, 7, 8, 22, 29, 31, 35, 42, 53, 63, 66, 69], "label": [4, 7, 13, 15, 24, 27, 29, 31, 32, 33, 34, 35, 37, 39, 40, 41, 42, 44, 45, 50, 52, 53, 57, 60, 66, 69], "4s": 4, "By": [4, 5, 7, 14, 30, 31, 32, 55, 69], "rearrang": [4, 42], "straightforward": [4, 18, 55, 69], "becom": [4, 8, 9, 14, 19, 20, 22, 25, 38, 39, 41, 42, 45, 47, 49, 50, 57, 58, 59, 60, 65, 66], "collect": [4, 5, 6, 7, 11, 13, 15, 20, 21, 27, 31, 32, 33, 35, 40, 42, 50, 62, 63, 69], "compar": [4, 7, 8, 13, 14, 19, 20, 22, 30, 37, 39, 40, 42, 45, 47, 50, 59, 60, 62, 64, 66], "adapt": [4, 15, 49, 57, 62, 63, 65], "let": [4, 7, 8, 9, 11, 12, 15, 19, 20, 21, 25, 27, 29, 30, 33, 34, 35, 37, 38, 39, 44, 45, 47, 50, 52, 55, 57, 58, 59, 62, 63, 65, 68], "cal": [4, 50], "p": [4, 11, 12, 18, 23, 24, 26, 33, 35, 37, 39, 41, 42, 44, 46, 47, 49, 50, 52, 53, 57, 58, 60, 62, 65, 66, 68], "respect": [4, 5, 8, 14, 18, 21, 26, 27, 29, 30, 32, 34, 35, 37, 39, 42, 46, 55, 57, 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14, 17, 18, 19, 22, 23, 25, 27, 29, 33, 35, 37, 42, 44, 45, 48, 50, 53, 55, 60, 62, 63, 65, 66, 69], "action": [2, 61, 66], "choic": [2, 4, 15, 21, 24, 26, 35, 37, 39, 42, 44, 57, 68, 69], "whether": [2, 8, 22, 24, 26, 27, 29, 31, 33, 35, 36, 44, 45, 53, 57, 63, 66], "new": [2, 4, 5, 7, 8, 13, 17, 21, 23, 25, 26, 27, 29, 30, 32, 35, 37, 39, 41, 42, 45, 48, 55, 59, 62, 63, 66, 68, 69], "manufactur": [2, 8, 17, 27, 34, 41, 63], "facil": [2, 6, 16, 21, 26, 27, 34, 39, 45], "suppli": [2, 4, 30, 32, 34, 35, 39, 57, 66], "rout": [2, 29, 51, 53, 62], "price": [2, 3, 4, 10, 11, 12, 18, 29, 31, 32, 37, 39, 49, 52, 59, 60, 62, 63, 64, 68, 69], "should": [2, 3, 8, 14, 15, 18, 22, 23, 24, 25, 26, 29, 33, 34, 36, 37, 39, 42, 47, 50, 53, 55, 57, 59, 63, 64, 65, 66, 68, 69], "sell": [2, 3, 11, 15, 18, 26, 29, 31, 32, 38, 39, 59, 60, 62, 63, 64], "product": [2, 5, 6, 16, 20, 23, 34, 35, 36, 37, 39, 42, 45, 46, 50, 51, 54, 57, 61, 64, 65, 66], "function": [2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 18, 19, 20, 21, 22, 25, 26, 27, 29, 30, 32, 33, 34, 36, 37, 38, 39, 40, 42, 44, 45, 46, 47, 48, 49, 53, 55, 57, 58, 60, 62, 63, 64, 65, 66, 67, 69], "evalu": [2, 5, 13, 42, 50, 63], "specif": [2, 3, 5, 6, 8, 10, 13, 14, 15, 17, 20, 25, 29, 30, 34, 35, 37, 38, 39, 41, 42, 45, 48, 53, 55, 57, 59, 60, 62, 63, 65, 67, 68, 69], "i": [2, 5, 6, 7, 8, 9, 12, 13, 14, 15, 16, 18, 20, 21, 22, 23, 24, 25, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 40, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 60, 62, 63, 65, 66, 69], "e": [2, 5, 7, 18, 19, 21, 22, 25, 27, 29, 30, 32, 33, 34, 35, 37, 38, 40, 41, 42, 44, 45, 46, 47, 49, 50, 53, 57, 58, 59, 60, 62, 63, 65, 66, 68, 69], "valu": [2, 3, 4, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 60, 62, 63, 65, 66, 68, 69], "earlier": [2, 5, 10, 21, 42, 45, 48, 52, 57, 59], "For": [2, 3, 5, 8, 10, 14, 16, 18, 20, 21, 22, 24, 27, 29, 30, 31, 34, 35, 36, 37, 39, 41, 42, 44, 45, 46, 47, 49, 50, 53, 55, 57, 59, 60, 62, 63, 64, 65, 66, 68, 69], "specifi": [2, 4, 5, 8, 13, 21, 24, 27, 29, 30, 31, 34, 37, 38, 39, 42, 45, 46, 48, 50, 58, 66, 68, 69], "either": [2, 3, 4, 5, 20, 21, 22, 23, 24, 26, 27, 29, 35, 50, 59, 63, 65, 69], "maxim": [2, 3, 4, 5, 6, 8, 9, 10, 17, 18, 20, 23, 26, 29, 30, 31, 35, 37, 38, 39, 41, 46, 47, 48, 49, 55, 58, 60, 62, 63, 64, 68, 69], "minim": [2, 3, 5, 6, 7, 8, 9, 11, 12, 13, 14, 18, 20, 21, 22, 24, 25, 27, 29, 33, 34, 35, 37, 40, 42, 44, 45, 50, 52, 53, 55, 57, 64, 65, 66, 69], "In": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 16, 17, 18, 20, 21, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 53, 54, 55, 56, 57, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69], "oper": [2, 3, 15, 21, 22, 27, 29, 35, 37, 39, 41, 42, 44, 45, 53, 59, 62, 63, 65, 66, 68], "cost": [2, 3, 4, 5, 6, 11, 12, 14, 15, 18, 20, 26, 28, 29, 30, 31, 33, 35, 37, 39, 41, 44, 45, 52, 53, 57, 59, 60, 63, 64, 65, 66, 68], "number": [2, 3, 4, 5, 8, 9, 10, 13, 16, 17, 18, 19, 20, 22, 24, 25, 27, 29, 31, 33, 35, 37, 38, 40, 42, 43, 44, 46, 47, 48, 49, 50, 51, 53, 54, 55, 56, 58, 59, 60, 61, 62, 63, 64, 65, 66, 69], "satisfi": [2, 3, 9, 15, 16, 18, 19, 20, 27, 29, 30, 31, 32, 34, 39, 42, 46, 47, 49, 57, 59, 62, 65], "custom": [2, 20, 21, 29, 32, 37, 39, 42, 51, 57, 62, 69], "restrict": [2, 16, 25, 30, 33, 35, 46, 49, 53, 55, 68, 69], "possibl": [2, 4, 5, 6, 9, 13, 15, 16, 17, 18, 19, 20, 21, 24, 27, 29, 30, 32, 33, 34, 35, 38, 39, 40, 42, 47, 50, 53, 55, 57, 58, 60, 62, 63, 64, 65, 66, 68, 69], "condit": [2, 3, 8, 15, 18, 23, 24, 26, 27, 29, 30, 42, 44, 50, 55, 59, 64, 68, 69], "must": [2, 3, 5, 19, 21, 23, 26, 27, 29, 31, 32, 35, 38, 39, 44, 53, 63, 64, 65, 66, 68], "requir": [2, 3, 4, 8, 12, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 37, 39, 45, 47, 52, 53, 57, 59, 62, 63, 64, 66, 68, 69], "maximum": [2, 3, 8, 11, 15, 18, 23, 24, 25, 29, 33, 34, 35, 39, 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40, 42, 46, 47, 48, 50, 51, 55, 58, 62, 68], "flaw": 2, "challeng": [2, 8, 19, 27, 31, 37, 39, 42], "follow": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 45, 46, 47, 49, 50, 51, 52, 53, 55, 57, 59, 60, 62, 63, 64, 65, 66, 68, 69], "given": [2, 3, 4, 5, 7, 8, 9, 11, 13, 14, 15, 17, 18, 20, 21, 22, 24, 25, 26, 27, 29, 30, 31, 32, 35, 37, 39, 42, 44, 45, 46, 47, 49, 50, 51, 53, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66, 68, 69], "f": [2, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66, 68, 69], "x": [2, 4, 6, 7, 8, 10, 11, 12, 13, 15, 16, 17, 18, 20, 23, 24, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 47, 48, 50, 52, 53, 55, 57, 58, 59, 60, 63, 64, 65, 66, 68, 69], "mathbb": [2, 6, 8, 13, 16, 17, 18, 26, 35, 37, 38, 40, 42, 45, 46, 47, 49, 50, 55, 57, 58, 59, 60, 62, 65, 66], "r": [2, 4, 6, 8, 13, 14, 16, 18, 19, 21, 22, 24, 25, 27, 29, 31, 32, 35, 37, 38, 39, 40, 42, 44, 45, 46, 47, 48, 49, 50, 53, 55, 58, 59, 60, 62, 63, 64, 65, 66, 68], "subseteq": [2, 16, 33, 35, 53], "n": [2, 6, 7, 8, 9, 13, 16, 17, 18, 19, 20, 21, 23, 24, 25, 27, 29, 30, 31, 32, 33, 35, 37, 38, 39, 40, 42, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 60, 62, 63, 69], "being": [2, 5, 6, 8, 33, 35, 38, 39, 50, 53, 66], "y": [2, 4, 7, 8, 9, 13, 14, 18, 19, 20, 23, 24, 26, 27, 29, 30, 31, 32, 34, 35, 38, 39, 40, 41, 42, 44, 45, 47, 48, 49, 50, 55, 57, 59, 60, 63, 64, 66, 68, 69], "geq": [2, 6, 8, 9, 10, 12, 13, 14, 15, 16, 17, 18, 21, 22, 24, 25, 26, 27, 29, 30, 31, 32, 34, 35, 37, 38, 39, 40, 42, 44, 45, 46, 47, 48, 49, 50, 55, 57, 58, 60, 62, 63, 65, 66, 68], "foral": [2, 4, 7, 11, 12, 13, 14, 15, 18, 19, 20, 22, 23, 24, 25, 27, 29, 30, 32, 33, 34, 35, 37, 38, 39, 40, 42, 45, 46, 48, 49, 50, 53, 55, 57, 59, 62, 63, 65, 66], 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69], "align": [2, 3, 4, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 32, 33, 34, 35, 37, 38, 39, 40, 42, 44, 45, 46, 47, 48, 49, 50, 53, 55, 57, 58, 59, 60, 62, 63, 65, 66, 68, 69], "min": [2, 6, 7, 8, 9, 11, 13, 14, 16, 18, 20, 22, 24, 25, 27, 29, 30, 32, 33, 34, 35, 37, 39, 40, 42, 44, 45, 46, 50, 53, 55, 57, 59, 60, 63, 65, 66, 69], "quad": [2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18, 20, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 37, 38, 40, 42, 44, 45, 46, 47, 48, 49, 50, 53, 58, 59, 60, 62, 63, 65, 68, 69], "text": [2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 42, 44, 45, 46, 47, 48, 49, 50, 53, 55, 57, 58, 59, 60, 62, 63, 65, 66, 68, 69], "t": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66, 68, 69], "end": [2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 32, 33, 34, 35, 37, 38, 39, 40, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 65, 66, 68, 69], "lead": [2, 14, 17, 18, 19, 20, 21, 22, 26, 29, 36, 39, 42, 44, 50, 55, 57, 63, 66, 69], "techniqu": [2, 7, 11, 13, 21, 22, 23, 26, 32, 42, 45, 49, 57, 63, 65], "introductori": [2, 61], "present": [2, 4, 5, 7, 8, 13, 14, 24, 29, 31, 32, 35, 37, 39, 40, 41, 42, 46, 47, 48, 49, 50, 53, 62, 64, 66, 68, 69], "simpl": [2, 3, 4, 5, 12, 21, 26, 30, 31, 36, 37, 39, 41, 42, 45, 50, 55, 68, 69], "context": [2, 15, 25, 33, 34, 58, 63, 66], "plan": [2, 4, 5, 10, 11, 15, 16, 18, 24, 25, 27, 39, 45, 51, 59, 61], "explain": [2, 7, 35, 39, 50, 57, 66], "structur": [2, 4, 8, 17, 26, 28, 30, 37, 44, 62, 63, 65, 66, 68, 69], "formal": [2, 16], "implement": [2, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 19, 22, 24, 27, 28, 29, 32, 35, 36, 37, 38, 39, 43, 44, 45, 46, 51, 54, 56, 57, 58, 59, 61, 62, 63, 68, 69], "second": [2, 4, 5, 10, 13, 18, 21, 27, 29, 31, 32, 33, 35, 37, 38, 39, 42, 50, 60, 61, 62, 63, 64, 65, 66], "also": [2, 3, 4, 5, 8, 11, 12, 14, 15, 18, 20, 22, 23, 25, 29, 30, 35, 36, 38, 39, 41, 42, 45, 53, 55, 58, 62, 63, 65, 66, 69], "serv": [2, 4, 5, 20, 34, 53, 63], "tutori": [2, 25, 37, 46, 47, 69], "lastli": [2, 3, 62, 63, 66], "discuss": [2, 32, 39, 42, 45, 50, 51, 63], "some": [2, 3, 4, 5, 7, 8, 13, 16, 21, 23, 27, 29, 30, 32, 33, 35, 39, 40, 41, 42, 44, 46, 47, 49, 50, 55, 57, 63, 65, 66, 68, 69], "advanc": [2, 3, 5, 23, 39, 45, 51, 63, 65, 66], "featur": [2, 4, 5, 6, 8, 13, 16, 20, 21, 22, 23, 27, 34, 39, 40, 47, 49, 60, 62, 68, 69], "third": [2, 4, 5, 32], "go": [2, 6, 8, 13, 14, 16, 21, 28, 30, 35, 36, 39, 40, 43, 51, 53, 54, 56, 63, 64, 65, 68], "next": [2, 3, 4, 5, 6, 7, 8, 12, 15, 16, 18, 21, 22, 23, 25, 28, 29, 30, 32, 34, 36, 38, 43, 46, 50, 51, 53, 54, 56, 57, 60, 64, 65, 66], "about": [2, 6, 8, 16, 20, 24, 28, 29, 30, 36, 39, 43, 51, 54, 56, 57, 59, 62, 63, 65], "linear": [2, 3, 5, 7, 8, 10, 11, 12, 13, 14, 15, 17, 19, 20, 22, 23, 26, 29, 31, 35, 36, 39, 40, 41, 55, 57, 60, 61, 62, 63, 65], "compani": [3, 6, 8, 12, 17, 18, 34, 39, 45, 51, 52, 53, 55, 63], "produc": [3, 4, 7, 8, 10, 12, 15, 17, 21, 23, 26, 29, 31, 32, 35, 37, 39, 42, 46, 47, 52, 53, 55, 57, 63, 65, 66, 68], "two": [3, 4, 5, 6, 8, 12, 13, 14, 16, 17, 19, 20, 21, 23, 25, 26, 29, 30, 31, 32, 33, 37, 39, 42, 45, 47, 50, 53, 55, 56, 57, 59, 60, 65, 68, 69], "version": [3, 4, 5, 10, 18, 20, 29, 30, 35, 39, 45, 53, 54, 55, 63, 65, 66, 69], "each": [3, 4, 5, 8, 9, 12, 13, 14, 18, 19, 21, 22, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 42, 46, 47, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66, 68, 69], "raw": [3, 5, 8, 12, 18, 26, 29, 35, 39, 42, 50, 52, 57, 63, 65, 66], "10": [3, 4, 5, 7, 10, 11, 12, 13, 14, 15, 18, 19, 20, 21, 22, 23, 24, 25, 27, 29, 30, 31, 32, 33, 34, 35, 37, 39, 41, 42, 44, 45, 46, 47, 49, 50, 52, 53, 57, 59, 60, 62, 63, 64, 65, 66, 68, 69], "per": [3, 8, 10, 12, 14, 18, 23, 24, 25, 26, 29, 32, 34, 37, 44, 45, 52, 60, 63, 64, 65], "gram": [3, 18, 42, 50], "special": [3, 4, 11, 12, 13, 16, 28, 30, 37, 40, 45, 62, 69], "labor": [3, 4, 26, 63, 68], "finish": [3, 12, 18, 21, 22, 23, 26, 37, 52, 53, 69], "u": [3, 4, 5, 14, 18, 23, 29, 34, 42, 44, 45, 46, 49, 50, 53, 55, 57, 63, 68, 69], "higher": [3, 14, 26, 29, 39, 42, 47, 50, 52, 57, 59, 63, 65], "270": [3, 4, 5, 26, 29, 63, 66, 68], "unit": [3, 4, 5, 10, 12, 14, 15, 18, 23, 24, 26, 29, 31, 32, 34, 35, 39, 44, 45, 47, 52, 57, 58, 59, 60, 62, 63, 64, 65, 68], "one": [3, 4, 5, 6, 8, 9, 13, 14, 15, 17, 18, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 37, 38, 39, 40, 42, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 55, 57, 58, 59, 62, 63, 64, 65, 66], "hour": [3, 4, 21, 24, 25, 26, 53, 63], "b": [3, 4, 5, 6, 7, 8, 13, 15, 16, 18, 19, 21, 22, 25, 26, 29, 32, 34, 35, 37, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 53, 60, 62, 63, 65, 66, 68, 69], "due": [3, 4, 12, 14, 18, 29, 35, 38, 39, 51, 52, 55, 59, 62, 64, 65, 69], "market": [3, 4, 14, 15, 29, 31, 39, 46, 47, 49, 62, 63, 64], "limit": [3, 5, 12, 18, 20, 21, 24, 25, 26, 29, 32, 35, 37, 39, 41, 44, 46, 49, 52, 57, 63, 65, 66, 69], "40": [3, 4, 5, 7, 24, 25, 26, 29, 32, 33, 37, 44, 45, 46, 59, 62, 63, 64, 68, 69], "week": [3, 25, 33, 62], "v": [3, 4, 5, 14, 20, 21, 24, 29, 30, 33, 34, 35, 39, 42, 45, 46, 50, 53, 57, 63, 65, 66, 68, 69], "lower": [3, 4, 5, 12, 14, 21, 29, 31, 32, 37, 39, 40, 55, 59, 62, 64, 65, 69], "unlimit": [3, 4, 26, 37, 39, 63], "210": [3, 4, 5, 26, 62, 63, 64, 68], "9": [3, 4, 5, 7, 8, 9, 10, 11, 12, 14, 15, 17, 19, 20, 21, 22, 23, 24, 25, 27, 29, 30, 31, 32, 34, 35, 37, 38, 39, 41, 42, 45, 50, 51, 52, 53, 55, 62, 63, 66, 68], "1": [3, 4, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 33, 34, 37, 38, 40, 41, 42, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 61, 63, 65, 66, 68, 69], "summar": [3, 4, 25, 32, 35, 39, 42, 50, 59, 62, 63, 64], "tabl": [3, 4, 18, 21, 22, 24, 26, 27, 31, 42, 46, 52, 53, 55, 59, 60, 62, 64, 69], "g": [3, 4, 5, 8, 14, 18, 20, 22, 27, 29, 30, 31, 32, 33, 34, 35, 39, 40, 42, 44, 45, 50, 53, 55, 60, 65, 66, 68], "hr": [3, 4, 24, 53], "2": [3, 4, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 33, 34, 37, 38, 40, 41, 42, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 63, 65, 66, 68, 69], "weekli": [3, 25], "avail": [3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 41, 42, 45, 46, 48, 49, 50, 52, 53, 55, 57, 59, 60, 62, 63, 66, 68], "inventori": [3, 12, 18, 29, 45, 52, 59, 60], "shelf": 3, "life": [3, 22, 30, 36, 44, 53], "order": [3, 4, 10, 12, 18, 21, 22, 25, 30, 32, 35, 37, 41, 42, 43, 50, 52, 53, 59, 63], "left": [3, 7, 8, 9, 10, 12, 13, 21, 22, 23, 24, 25, 27, 30, 32, 37, 39, 40, 42, 44, 45, 47, 49, 50, 52, 53, 57, 60, 62, 63, 65], "over": [3, 4, 10, 11, 14, 18, 21, 23, 25, 29, 30, 35, 37, 39, 41, 42, 45, 47, 50, 52, 59, 62, 63, 64, 68, 69], "discard": 3, "detail": [3, 8, 20, 25, 42, 44, 50, 59], "resourc": [3, 4, 15, 21, 25, 27, 29, 30, 37, 52, 64, 65, 68], "amount": [3, 4, 12, 15, 16, 17, 18, 21, 22, 25, 29, 31, 32, 34, 38, 39, 51, 52, 55, 57, 58, 60, 63, 64, 65, 69], "80": [3, 4, 5, 26, 29, 32, 35, 41, 47, 49, 50, 63, 64, 66, 68], "50": [3, 4, 5, 9, 14, 18, 24, 26, 29, 31, 32, 35, 37, 39, 42, 44, 45, 52, 55, 60, 62, 63, 64, 66, 68, 69], "100": [3, 4, 5, 10, 18, 19, 20, 22, 24, 26, 29, 31, 32, 35, 37, 39, 41, 42, 45, 47, 49, 50, 52, 55, 57, 60, 62, 63, 64, 65, 66, 68, 69], "want": [3, 14, 17, 18, 20, 29, 32, 33, 38, 40, 42, 48, 55, 58, 62, 63, 69], "its": [3, 5, 7, 8, 9, 13, 14, 20, 22, 30, 34, 40, 42, 45, 50, 55, 63, 65, 68, 69], "gross": [3, 46, 47, 49], "profit": [3, 4, 5, 6, 8, 9, 10, 17, 23, 26, 29, 32, 37, 39, 41, 55, 62, 63, 64, 68, 69], "much": [3, 8, 12, 13, 17, 18, 23, 24, 27, 30, 33, 37, 44, 47, 51, 63, 65, 66], "abov": [3, 4, 6, 8, 11, 12, 13, 14, 17, 18, 22, 23, 24, 29, 30, 32, 33, 35, 37, 39, 40, 44, 45, 46, 48, 49, 50, 52, 55, 57, 60, 62, 63, 65, 69], "optim": [3, 4, 5, 9, 10, 11, 13, 17, 20, 21, 23, 24, 25, 27, 29, 30, 31, 32, 33, 34, 40, 41, 45, 46, 52, 53, 55, 57, 59, 61, 67, 69], "reformul": [3, 5, 10, 13, 14, 44, 46, 47, 49, 50, 55, 62], "involv": [3, 5, 6, 8, 11, 21, 31, 39, 42, 45, 46, 47, 49], "few": [3, 4, 5, 32, 33, 42, 62, 68], "crucial": [3, 35], "element": [3, 4, 5, 8, 25, 30, 32, 42, 44, 47, 50, 65, 68, 69], "start": [3, 5, 7, 8, 13, 14, 18, 21, 22, 23, 24, 27, 29, 31, 33, 37, 49, 55, 62, 63], "point": [3, 4, 7, 8, 13, 16, 20, 23, 27, 29, 34, 39, 40, 41, 42, 45, 47, 50, 55, 60, 62, 66, 69], "list": [3, 4, 8, 14, 19, 21, 24, 25, 26, 29, 30, 31, 33, 35, 37, 42, 44, 46, 49, 50, 52, 53, 57, 60, 62, 63, 65, 68, 69], "relev": [3, 4, 18, 20, 27, 29, 66, 68, 69], "hand": [3, 4, 8, 9, 17, 20, 24, 25, 29, 30, 31, 42, 50, 55, 57, 59], "quantiti": [3, 8, 11, 12, 18, 34, 35, 37, 39, 43, 51, 52, 55, 63], "modifi": [3, 5, 17, 20, 21, 23, 29, 31, 42, 55, 57, 62, 65, 66, 68, 69], "achiev": [3, 11, 14, 23, 25, 38, 42, 50, 65, 68], "outcom": [3, 15, 32, 42, 46, 50, 57, 59, 63], "while": [3, 5, 8, 9, 12, 14, 17, 18, 20, 21, 24, 25, 26, 29, 33, 34, 35, 37, 42, 48, 49, 50, 51, 52, 53, 55, 57, 59, 62, 63, 65, 66], "stage": [3, 5, 27, 39, 46, 47, 60, 64, 65, 68, 69], "prove": [3, 8], "redund": [3, 69], "later": [3, 4, 5, 15, 21, 24, 27, 45, 47, 66, 69], "creat": [3, 12, 13, 14, 15, 19, 21, 22, 23, 27, 29, 30, 31, 33, 37, 39, 42, 45, 46, 49, 50, 57, 59, 62, 63, 64, 68, 69], "comprehens": [3, 7, 42, 50], "below": [3, 5, 9, 11, 12, 14, 17, 20, 21, 24, 29, 30, 35, 37, 39, 42, 44, 45, 46, 50, 55, 57, 60, 62, 63, 66, 69], "symbol": [3, 14, 22, 29, 31, 32, 49, 59, 68, 69], "descript": [3, 15, 21, 32, 42, 51, 55, 66], "upper": [3, 4, 5, 9, 12, 14, 21, 22, 23, 24, 29, 32, 33, 37, 38, 39, 40, 44, 45, 52, 55, 60, 68, 69], "bound": [3, 4, 5, 9, 14, 19, 21, 22, 23, 24, 26, 29, 30, 31, 33, 37, 38, 39, 42, 44, 53, 55, 57, 63, 64, 66, 68], "known": [3, 4, 5, 7, 13, 14, 19, 21, 22, 23, 27, 33, 38, 39, 40, 42, 44, 45, 47, 49, 50, 53, 57, 59, 63, 64, 65, 66], "x_m": [3, 5, 60], "0": [3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66, 68, 69], "x_a": [3, 5], "x_b": [3, 5], "y_u": [3, 5], "y_v": [3, 5], "measur": [3, 7, 10, 14, 23, 24, 25, 29, 39, 42, 50, 51], "max": [3, 4, 7, 8, 9, 10, 11, 14, 15, 17, 21, 22, 23, 24, 25, 26, 27, 29, 35, 37, 38, 39, 41, 42, 44, 46, 47, 48, 50, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66, 68], "equal": [3, 5, 6, 7, 8, 10, 12, 15, 16, 23, 25, 26, 27, 29, 30, 32, 33, 34, 38, 39, 40, 41, 44, 45, 46, 47, 49, 53, 55, 57, 59, 60, 62, 63, 65, 66], "between": [3, 4, 5, 8, 10, 13, 14, 20, 21, 24, 25, 27, 29, 31, 32, 34, 35, 36, 38, 39, 40, 42, 44, 46, 47, 48, 50, 53, 57, 64, 65, 66, 68, 69], "revenu": [3, 4, 5, 10, 11, 41, 59, 62, 64, 68], "written": [3, 4, 5, 15, 42, 45, 58, 59, 62, 68, 69], "As": [3, 4, 5, 8, 14, 18, 21, 25, 29, 30, 31, 39, 42, 45, 46, 50, 53, 59, 60, 63, 66, 69], "shown": [3, 5, 39, 42, 45, 46, 69], "here": [3, 4, 5, 10, 12, 13, 21, 22, 24, 25, 26, 29, 31, 39, 40, 42, 45, 46, 47, 49, 52, 53, 55, 57, 58, 59, 62, 63, 66, 68, 69], "algebra": [3, 5, 19, 41, 42, 45], "combin": [3, 4, 5, 18, 19, 29, 39, 44, 53, 57, 63, 65, 68, 69], "name": [3, 4, 5, 9, 10, 12, 13, 14, 15, 17, 18, 20, 21, 22, 24, 25, 29, 30, 32, 37, 40, 41, 42, 48, 50, 59, 60, 62, 65, 66], "when": [3, 4, 5, 7, 8, 12, 13, 16, 20, 21, 22, 23, 24, 25, 29, 31, 32, 35, 39, 41, 42, 43, 45, 46, 47, 50, 57, 59, 60, 63, 64, 65, 66, 67, 68], "place": [3, 4, 29, 30, 31, 35, 39, 45, 46, 59, 68, 69], "break": [3, 4, 29, 33, 53, 57, 63, 66], "up": [3, 4, 5, 12, 16, 17, 18, 19, 21, 23, 29, 37, 42, 46, 47, 50, 52, 56, 57, 62, 63, 64], "longer": [3, 20, 21, 30, 45, 50, 53, 57, 62, 68], "smaller": [3, 4, 10, 16, 27, 51, 57], "simplifi": [3, 5, 24, 27, 50, 62, 68, 69], "relationship": [3, 5, 13, 22, 24, 25, 27, 29, 31, 44, 45, 46, 69], "inequ": [3, 6, 8, 9, 39, 47, 55, 65], "overal": [3, 8, 15, 25, 39, 44], "now": [3, 4, 5, 7, 8, 12, 14, 18, 20, 21, 24, 25, 27, 29, 30, 31, 32, 33, 34, 35, 37, 42, 45, 46, 47, 48, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 65, 66, 68], "readi": [3, 29, 31, 45, 50, 63], "full": [3, 7, 13, 20, 23, 24, 32, 37, 39, 40, 42, 44, 49, 50, 55, 62, 63, 69], "canon": [3, 6, 38], "nonumb": [3, 4, 30], "textbook": [3, 20, 63, 64], "customari": [3, 8, 50], "under": [3, 14, 15, 18, 20, 25, 26, 52, 57, 59, 62, 63, 64, 68], "clearli": [3, 4, 7, 18, 20, 23, 25, 39, 53, 63, 66], "distinguish": [3, 29, 66, 69], "paramet": [3, 4, 5, 18, 21, 23, 29, 32, 33, 35, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 50, 51, 55, 57, 59, 60, 62, 63, 65, 66, 68], "might": [3, 15, 16, 27, 29, 31, 33, 35, 36, 39, 42, 51, 59, 65, 68], "letter": [3, 19, 45, 63], "throughout": [3, 8, 29, 63, 69], "websit": 3, "howev": [3, 4, 8, 13, 15, 16, 17, 18, 20, 28, 29, 30, 31, 33, 35, 36, 39, 42, 44, 45, 48, 49, 50, 53, 55, 57, 59, 62, 63, 65, 66, 69], "stick": 3, "convent": [3, 5, 6, 8, 57, 65, 66], "onli": [3, 4, 7, 8, 9, 16, 18, 20, 21, 24, 25, 26, 27, 29, 30, 32, 33, 35, 37, 39, 42, 45, 49, 53, 55, 57, 59, 62, 63, 64, 65, 69], "explicitli": [3, 8, 17, 29, 30, 31, 50, 53, 62, 64, 69], "domain": [3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 48, 52, 53, 55, 57, 58, 59, 60, 62, 63, 65, 66, 68], "vector": [3, 6, 8, 11, 12, 13, 35, 36, 38, 40, 41, 43, 58, 62, 63], "minimum": [3, 11, 12, 14, 16, 21, 24, 25, 28, 29, 33, 35, 37, 39, 44, 53, 62, 64], "even": [3, 5, 20, 25, 29, 30, 39, 42, 48, 50, 53, 62, 63, 65, 66], "like": [3, 4, 8, 9, 11, 12, 14, 18, 29, 30, 31, 32, 37, 39, 42, 50, 52, 62, 63, 65, 66], "immedi": [3, 21, 29], "clear": [3, 9, 17, 36, 57, 63, 69], "what": [3, 8, 15, 21, 22, 25, 29, 31, 39, 41, 43, 46, 47, 51, 55, 57, 59, 62, 63, 64, 66, 68], "exactli": [3, 14, 33, 34, 35, 45, 50, 51, 53, 55, 62, 63, 66], "where": [3, 4, 5, 6, 7, 8, 9, 12, 13, 14, 15, 16, 18, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 35, 37, 38, 39, 41, 42, 44, 45, 46, 47, 48, 49, 50, 53, 55, 57, 59, 60, 62, 63, 65, 66, 68, 69], "come": [3, 4, 14, 15, 30, 36, 42, 50, 63], "plai": [3, 8, 36, 46, 50, 53, 63], "thei": [3, 5, 8, 16, 18, 22, 24, 29, 30, 31, 32, 36, 37, 39, 42, 49, 51, 53, 57, 62, 63, 65, 66, 68, 69], "procedur": [3, 37, 55, 63], "long": [3, 4, 14, 16, 22, 25, 29, 46, 47, 60, 63, 69], "standard": [3, 5, 6, 8, 13, 14, 22, 29, 35, 39, 41, 42, 50, 58, 62, 69], "fashion": [3, 4, 53], "practition": [3, 49], "often": [3, 4, 16, 21, 28, 32, 35, 51, 63, 66, 69], "boil": 3, "down": [3, 17, 23, 29, 30, 35, 47, 62, 63, 64], "pass": [3, 4, 5, 18, 20, 21, 24, 28, 42, 50, 68], "softwar": [3, 26], "regardless": [3, 4, 8, 12, 18, 29, 46, 52, 60], "wa": [3, 7, 14, 25, 29, 30, 32, 35, 36, 37, 39, 45, 46, 47, 48, 49, 53, 55, 59, 63, 65], "stori": [3, 46, 47], "behind": 3, "To": [3, 5, 8, 18, 21, 22, 23, 24, 25, 27, 29, 30, 35, 37, 39, 42, 44, 45, 49, 50, 53, 55, 57, 59, 60, 62, 63, 65, 66, 68], "do": [3, 4, 8, 20, 23, 25, 29, 30, 31, 33, 35, 39, 41, 45, 53, 55, 57, 62, 63, 65, 66, 68, 69], "interfac": [3, 4, 5, 14, 45, 69], "commun": [3, 5, 7, 20, 25, 27, 64], "adopt": [3, 8, 26, 32, 42, 44, 47, 55], "python": [3, 5, 8, 13, 17, 20, 21, 25, 29, 30, 32, 37, 40, 41, 42, 45, 50, 53, 57, 66, 68, 69], "base": [3, 5, 7, 12, 13, 19, 21, 26, 29, 32, 35, 40, 41, 42, 47, 49, 50, 51, 52, 57, 63, 65, 68, 69], "carri": [3, 24, 35], "ll": [4, 31, 39], "revisit": [4, 16, 25, 43, 61], "time": [4, 5, 6, 8, 14, 18, 20, 23, 24, 25, 26, 27, 30, 31, 33, 35, 36, 37, 39, 40, 42, 45, 46, 49, 50, 51, 52, 53, 57, 59, 62, 63, 65, 66, 68, 69], "capabl": [4, 7, 26, 39, 55], "scale": [4, 7, 29, 30, 35, 37, 39, 42, 57, 60, 62, 63, 66], "enabl": [4, 5, 28, 29, 45, 50, 68], "vari": [4, 12, 38, 50, 52, 55, 57, 64], "addit": [4, 6, 7, 12, 15, 18, 21, 23, 25, 27, 29, 37, 42, 45, 47, 49, 50, 59, 62, 63, 66, 68, 69], "compon": [4, 5, 8, 13, 14, 18, 22, 26, 38, 45, 50, 58, 69], "index": [4, 5, 8, 12, 13, 14, 15, 18, 19, 20, 21, 22, 23, 24, 25, 27, 29, 30, 31, 32, 35, 37, 39, 40, 41, 42, 44, 45, 49, 50, 52, 53, 57, 59, 62, 64, 65, 68], "essenti": [4, 22, 29, 30, 37, 42, 50, 53, 55, 63], "scalabl": [4, 6], "maintain": [4, 5, 8, 27, 29, 45, 66, 69], "more": [4, 5, 8, 10, 11, 13, 14, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 31, 32, 35, 37, 38, 39, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 59, 60, 62, 63, 64, 65, 66, 68, 69], "analysi": [4, 7, 8, 12, 13, 21, 29, 32, 39, 42, 46, 47, 50, 51, 53, 55, 62, 69], "examin": [4, 7, 17, 39, 49], "identifi": [4, 5, 16, 18, 24, 27, 29, 31, 34, 37, 39, 42, 44, 45, 47, 50, 62, 66, 69], "underli": [4, 40, 63], "verifi": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 38, 48, 50, 52, 53, 55, 57, 59, 60, 62, 66], "high": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 39, 42, 44, 49, 50, 52, 55, 57, 59, 60, 63, 65, 66, 69], "via": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 38, 48, 50, 51, 55, 57, 60, 66], "appsi": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 35, 52, 55, 60, 66], "modul": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66, 68], "elsewher": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 35, 38, 48, 52, 55, 57, 60, 66, 69], "assum": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 35, 37, 38, 39, 42, 44, 45, 48, 49, 50, 51, 52, 53, 55, 57, 58, 59, 60, 62, 63, 65, 66, 68, 69], "cbc": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 35, 37, 39, 41, 42, 52, 53, 55, 59, 60, 62, 63, 64, 65, 66, 68], "been": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 36, 37, 38, 39, 42, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 60, 62, 64, 66, 68, 69], "previous": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 35, 38, 47, 48, 50, 52, 53, 55, 57, 60, 62, 65, 66, 68, 69], "solverfactori": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66, 68, 69], "It": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 34, 35, 38, 45, 48, 52, 55, 57, 60, 63, 65, 66], "sy": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66, 68], "pip": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66, 68], "dev": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66], "null": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66], "highspi": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 41, 52, 53, 55, 59, 60, 62, 63, 64, 65, 66], "environ": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 57, 58, 59, 60, 62, 63, 64, 65, 66, 68, 69], "appsi_high": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 41, 53, 55, 59, 60, 62, 63, 64, 65, 66], "els": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 29, 31, 33, 34, 38, 42, 44, 45, 47, 48, 49, 50, 52, 53, 55, 60, 62, 63, 65, 66, 68, 69], "assert": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 38, 48, 52, 55, 57, 60], "basic": [4, 16, 17, 21, 27, 42, 55, 65, 68, 69], "previou": [4, 9, 12, 15, 18, 28, 29, 35, 42, 45, 50, 51, 63], "were": [4, 18, 27, 30, 35, 42, 49, 62, 65], "distinct": [4, 22, 29], "evid": [4, 20], "compris": [4, 21, 23, 25, 31, 37, 40, 59, 68, 69], "abbrevi": [4, 29, 68], "m": [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 62, 63, 64, 65, 66, 68, 69], "factor": [4, 7, 20, 42, 44, 48, 50, 55, 62, 65, 69], "attribut": [4, 5, 7, 14, 29, 35, 37, 45, 65, 68, 69], "built": [4, 20, 57], "librari": [4, 5, 8, 13, 21, 29, 30, 32, 33, 40, 41, 44, 45, 47, 49, 50, 69], "handl": [4, 23, 26, 45, 68], "tabular": [4, 5], "sever": [4, 5, 6, 7, 11, 16, 19, 24, 26, 28, 29, 36, 37, 39, 42, 49, 57, 69], "option": [4, 5, 14, 21, 27, 29, 33, 41, 42, 50, 63, 65, 68, 69], "would": [4, 7, 8, 12, 15, 17, 18, 19, 21, 25, 26, 29, 31, 32, 33, 35, 39, 42, 45, 48, 49, 50, 52, 53, 55, 57, 59, 62, 63, 64, 65, 66, 68], "appropri": [4, 5, 42, 50], "task": [4, 16, 20, 24, 29, 30, 32, 37, 42, 53], "nest": [4, 37, 63, 68, 69], "dictionari": [4, 18, 21, 29, 34, 35, 37, 42, 45, 50, 53, 57, 63, 69], "column": [4, 5, 7, 12, 14, 15, 18, 20, 22, 24, 25, 29, 30, 31, 32, 35, 39, 42, 45, 49, 50, 52, 53, 62, 64, 66, 69], "show": [4, 5, 7, 9, 12, 13, 14, 18, 20, 21, 22, 24, 25, 26, 27, 29, 30, 31, 32, 33, 35, 37, 38, 39, 40, 42, 44, 45, 47, 48, 49, 51, 52, 53, 55, 57, 59, 60, 62, 63, 66, 68, 69], "repres": [4, 6, 8, 18, 19, 22, 23, 25, 31, 33, 34, 35, 37, 39, 42, 44, 45, 46, 47, 49, 50, 57, 59, 68, 69], "kei": [4, 5, 8, 14, 20, 21, 29, 32, 33, 34, 35, 37, 40, 46, 49, 52, 53, 57, 59, 60, 63, 65, 66, 68, 69], "outermost": 4, "inner": [4, 42, 50], "float": [4, 30, 42, 50, 52, 60, 69], "none": [4, 5, 7, 20, 21, 27, 29, 30, 32, 34, 35, 40, 42, 45, 47, 50, 52, 57, 66, 68], "print": [4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 22, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 55, 57, 59, 60, 62, 63, 64, 65, 66, 68], "item": [4, 21, 30, 32, 34, 35, 37, 50, 53, 57, 59, 60, 65, 66, 69], "consum": [4, 21, 35, 57, 65, 69], "8s": [4, 29, 49], "row": [4, 5, 7, 8, 22, 29, 31, 35, 42, 53, 63, 66, 69], "label": [4, 7, 13, 15, 24, 27, 29, 31, 32, 33, 34, 35, 37, 39, 40, 41, 42, 44, 45, 50, 52, 53, 57, 60, 66, 69], "4s": 4, "By": [4, 5, 7, 14, 30, 31, 32, 55, 69], "rearrang": [4, 42], "straightforward": [4, 18, 55, 69], "becom": [4, 8, 9, 14, 19, 20, 22, 25, 38, 39, 41, 42, 45, 47, 49, 50, 57, 58, 59, 60, 65, 66], "collect": [4, 5, 6, 7, 11, 13, 15, 20, 21, 27, 31, 32, 33, 35, 40, 42, 50, 62, 63, 69], "compar": [4, 7, 8, 13, 14, 19, 20, 22, 30, 37, 39, 40, 42, 45, 47, 50, 59, 60, 62, 64, 66], "adapt": [4, 15, 49, 57, 62, 63, 65], "let": [4, 7, 8, 9, 11, 12, 15, 19, 20, 21, 25, 27, 29, 30, 33, 34, 35, 37, 38, 39, 44, 45, 47, 50, 52, 55, 57, 58, 59, 62, 63, 65, 68], "cal": [4, 50], "p": [4, 11, 12, 18, 23, 24, 26, 33, 35, 37, 39, 41, 42, 44, 46, 47, 49, 50, 52, 53, 57, 58, 60, 62, 65, 66, 68], "respect": [4, 5, 8, 14, 18, 21, 26, 27, 29, 30, 32, 34, 35, 37, 39, 42, 46, 55, 57, 62, 63, 64, 66, 68], "x_r": [4, 39], "y_p": 4, "denot": [4, 8, 12, 15, 18, 19, 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"qquad": [11, 15, 20, 23, 25, 39, 40, 42, 45, 53, 62, 65], "guarante": [11, 14, 15, 32, 33, 38, 44, 48, 55, 57, 58, 62, 63, 65], "vice": [11, 63], "versa": [11, 63], "henc": [11, 35, 62, 66], "uncertainti": [11, 15, 43, 44, 52, 61, 63, 65, 66], "regard": [11, 15, 25, 39, 42, 45, 50, 51, 55, 64], "instead": [11, 16, 20, 29, 30, 33, 35, 36, 41, 55, 57, 62, 63, 65, 66, 68], "nomin": [11, 52, 55, 63, 64, 65, 66], "estim": [11, 13, 39, 51, 57, 60, 63], "trick": [11, 45], "bim_maxmin": 11, "maxmin": [11, 15], "c1": [11, 21], "c2": [11, 21], "583": [11, 15, 29], "1166": [11, 15, 55], "17500": [11, 15], "carefulli": [12, 39, 52], "manag": [12, 44, 45, 46, 47, 49, 51, 52, 56, 69], "led": [12, 52], "monthli": [12, 18, 52], "jan": [12, 18, 52], "feb": [12, 18, 52], "mar": [12, 18, 52], "jun": [12, 18, 52], "jul": [12, 18, 52], "aug": [12, 18, 52], "oct": [12, 18, 52], "nov": [12, 18, 52], "dec": [12, 18, 52, 63], "88": [12, 18, 20, 29, 35, 37, 42, 50, 52, 62, 66], "125": [12, 18, 35, 37, 49, 52, 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