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patcon/polis-implementation-demo.ipynb

Created April 27, 2025 07:50
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polis-implementation-demo.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/patcon/5e08c185a8329283985c52f3f7ec5341/polis-implementation-demo.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"execution_count": 108,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "kEyVHx6y7zpu",
"outputId": "68777d59-4c68-40db-ee43-7fe9edb3d171"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
" Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
" Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
" Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
"Requirement already satisfied: pacmap in /usr/local/lib/python3.11/dist-packages (0.8.0)\n",
"Requirement already satisfied: scikit-learn>=0.20 in /usr/local/lib/python3.11/dist-packages (from pacmap) (1.6.1)\n",
"Requirement already satisfied: numba>=0.57 in /usr/local/lib/python3.11/dist-packages (from pacmap) (0.60.0)\n",
"Requirement already satisfied: annoy>=1.11 in /usr/local/lib/python3.11/dist-packages (from pacmap) (1.17.3)\n",
"Requirement already satisfied: numpy>=1.20 in /usr/local/lib/python3.11/dist-packages (from pacmap) (2.0.2)\n",
"Requirement already satisfied: llvmlite<0.44,>=0.43.0dev0 in /usr/local/lib/python3.11/dist-packages (from numba>=0.57->pacmap) (0.43.0)\n",
"Requirement already satisfied: scipy>=1.6.0 in /usr/local/lib/python3.11/dist-packages (from scikit-learn>=0.20->pacmap) (1.14.1)\n",
"Requirement already satisfied: joblib>=1.2.0 in /usr/local/lib/python3.11/dist-packages (from scikit-learn>=0.20->pacmap) (1.4.2)\n",
"Requirement already satisfied: threadpoolctl>=3.1.0 in /usr/local/lib/python3.11/dist-packages (from scikit-learn>=0.20->pacmap) (3.6.0)\n"
]
}
],
"source": [
"%pip install --quiet --no-cache-dir git+https://github.com/polis-community/red-dwarf.git@main\n",
"%pip install pacmap"
]
},
{
"cell_type": "code",
"source": [
"from reddwarf.data_loader import Loader\n",
"from reddwarf.utils.matrix import generate_raw_matrix, get_clusterable_participant_ids, simple_filter_matrix\n",
"from reddwarf.utils.polismath import extract_data_from_polismath\n",
"from reddwarf.utils.statements import process_statements\n",
"\n",
"# REPORT_ID=\"r7aybmkd3nce56sbry55t\"\n",
"# REPORT_ID=\"r9cnkypdddkmnefz8k2bn\"\n",
"# REPORT_ID=\"r8bzudrhs8j6petppicrj\"\n",
"# REPORT_ID=\"r64ajcsmp9butzxhzj44c\"\n",
"# REPORT_ID, CONVO_ID = \"r7cwmiaxczyj8te9rzdmx\", \"9usurb2mmh\"\n",
"REPORT_ID, CONVO_ID = \"r3rwrinr5udrzwkvxtdkj\", \"3akt5cdsfk\"\n",
"REPORT_ID, CONVO_ID = \"r2xcn2cdbmrzjmmuuytdk\", \"9wtchdmmun\" # Bowling Green #1\n",
"REPORT_ID, CONVO_ID = \"r263pyffyjvsurzs9dc6h\", \"7yhactmdme\" # vTaiwan drunk driving\n",
"REPORT_ID, CONVO_ID = \"r6xd526vyjyjrj9navxrj\", \"4uf4hkunf3\" # Germans never had it better (33,000)\n",
"REPORT_ID, CONVO_ID = \"r8nssrnnnf2bewvtd5f5h\", \"2vkxcncppn\" # Austria Klimarat: Energy (7000 ppl)\n",
"REPORT_ID, CONVO_ID = \"r7jjamzvde5iv96scfhdr\", \"3ufjbm7hfb\" # DemDis: NGOs (400 ppl)\n",
"\n",
"loader = Loader(polis_id=REPORT_ID, data_source=\"csv_export\")\n",
"loader.conversation_id = CONVO_ID\n",
"loader.load_api_data_math()\n",
"\n",
"_, _, mod_out_statement_ids, _ = process_statements(loader.comments_data)\n",
"\n",
"raw_vote_matrix = generate_raw_matrix(votes=loader.votes_data)\n",
"\n",
"filtered_vote_matrix = simple_filter_matrix(\n",
" vote_matrix=raw_vote_matrix,\n",
" mod_out_statement_ids=mod_out_statement_ids,\n",
")\n",
"\n",
"print(filtered_vote_matrix)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Ea8YprXESDAd",
"outputId": "707031e3-a40b-498c-ebd8-8f8783325d33"
},
"execution_count": 128,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Removing duplicate vote: {'participant_id': 417, 'statement_id': 37, 'vote': 1, 'weight_x_32767': None, 'modified': 1697530715000.0, 'conversation_id': None, 'datetime': 'Tue Oct 17 2023 08:18:35 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 417, 'statement_id': 31, 'vote': -1, 'weight_x_32767': None, 'modified': 1697530712000.0, 'conversation_id': None, 'datetime': 'Tue Oct 17 2023 08:18:32 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 404, 'statement_id': 52, 'vote': 1, 'weight_x_32767': None, 'modified': 1694414653000.0, 'conversation_id': None, 'datetime': 'Mon Sep 11 2023 06:44:13 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 389, 'statement_id': 42, 'vote': -1, 'weight_x_32767': None, 'modified': 1692037038000.0, 'conversation_id': None, 'datetime': 'Mon Aug 14 2023 18:17:18 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 389, 'statement_id': 42, 'vote': 1, 'weight_x_32767': None, 'modified': 1692037030000.0, 'conversation_id': None, 'datetime': 'Mon Aug 14 2023 18:17:10 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 379, 'statement_id': 66, 'vote': 1, 'weight_x_32767': None, 'modified': 1691994251000.0, 'conversation_id': None, 'datetime': 'Mon Aug 14 2023 06:24:11 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 351, 'statement_id': 26, 'vote': 1, 'weight_x_32767': None, 'modified': 1691914103000.0, 'conversation_id': None, 'datetime': 'Sun Aug 13 2023 08:08:23 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 343, 'statement_id': 52, 'vote': 1, 'weight_x_32767': None, 'modified': 1691907956000.0, 'conversation_id': None, 'datetime': 'Sun Aug 13 2023 06:25:56 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 334, 'statement_id': 19, 'vote': -1, 'weight_x_32767': None, 'modified': 1691892335000.0, 'conversation_id': None, 'datetime': 'Sun Aug 13 2023 02:05:35 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 332, 'statement_id': 58, 'vote': 0, 'weight_x_32767': None, 'modified': 1691886924000.0, 'conversation_id': None, 'datetime': 'Sun Aug 13 2023 00:35:24 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 332, 'statement_id': 20, 'vote': 0, 'weight_x_32767': None, 'modified': 1691886922000.0, 'conversation_id': None, 'datetime': 'Sun Aug 13 2023 00:35:22 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 332, 'statement_id': 21, 'vote': 0, 'weight_x_32767': None, 'modified': 1691886922000.0, 'conversation_id': None, 'datetime': 'Sun Aug 13 2023 00:35:22 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 332, 'statement_id': 10, 'vote': 0, 'weight_x_32767': None, 'modified': 1691886921000.0, 'conversation_id': None, 'datetime': 'Sun Aug 13 2023 00:35:21 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 332, 'statement_id': 11, 'vote': 0, 'weight_x_32767': None, 'modified': 1691886921000.0, 'conversation_id': None, 'datetime': 'Sun Aug 13 2023 00:35:21 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 332, 'statement_id': 55, 'vote': 0, 'weight_x_32767': None, 'modified': 1691886920000.0, 'conversation_id': None, 'datetime': 'Sun Aug 13 2023 00:35:20 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 332, 'statement_id': 14, 'vote': 0, 'weight_x_32767': None, 'modified': 1691886919000.0, 'conversation_id': None, 'datetime': 'Sun Aug 13 2023 00:35:19 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 332, 'statement_id': 23, 'vote': 0, 'weight_x_32767': None, 'modified': 1691886918000.0, 'conversation_id': None, 'datetime': 'Sun Aug 13 2023 00:35:18 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 332, 'statement_id': 4, 'vote': 0, 'weight_x_32767': None, 'modified': 1691886916000.0, 'conversation_id': None, 'datetime': 'Sun Aug 13 2023 00:35:16 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 332, 'statement_id': 81, 'vote': 0, 'weight_x_32767': None, 'modified': 1691886915000.0, 'conversation_id': None, 'datetime': 'Sun Aug 13 2023 00:35:15 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 332, 'statement_id': 74, 'vote': 0, 'weight_x_32767': None, 'modified': 1691886913000.0, 'conversation_id': None, 'datetime': 'Sun Aug 13 2023 00:35:13 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 332, 'statement_id': 53, 'vote': 0, 'weight_x_32767': None, 'modified': 1691886912000.0, 'conversation_id': None, 'datetime': 'Sun Aug 13 2023 00:35:12 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 332, 'statement_id': 57, 'vote': 0, 'weight_x_32767': None, 'modified': 1691886911000.0, 'conversation_id': None, 'datetime': 'Sun Aug 13 2023 00:35:11 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 332, 'statement_id': 52, 'vote': 0, 'weight_x_32767': None, 'modified': 1691886910000.0, 'conversation_id': None, 'datetime': 'Sun Aug 13 2023 00:35:10 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 332, 'statement_id': 41, 'vote': 0, 'weight_x_32767': None, 'modified': 1691886909000.0, 'conversation_id': None, 'datetime': 'Sun Aug 13 2023 00:35:09 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 312, 'statement_id': 74, 'vote': 1, 'weight_x_32767': None, 'modified': 1691862793000.0, 'conversation_id': None, 'datetime': 'Sat Aug 12 2023 17:53:13 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 312, 'statement_id': 74, 'vote': 1, 'weight_x_32767': None, 'modified': 1691862793000.0, 'conversation_id': None, 'datetime': 'Sat Aug 12 2023 17:53:13 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 230, 'statement_id': 58, 'vote': 0, 'weight_x_32767': None, 'modified': 1691398886000.0, 'conversation_id': None, 'datetime': 'Mon Aug 07 2023 09:01:26 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 221, 'statement_id': 6, 'vote': 1, 'weight_x_32767': None, 'modified': 1691392266000.0, 'conversation_id': None, 'datetime': 'Mon Aug 07 2023 07:11:06 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 195, 'statement_id': 25, 'vote': 1, 'weight_x_32767': None, 'modified': 1691383324000.0, 'conversation_id': None, 'datetime': 'Mon Aug 07 2023 04:42:04 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 195, 'statement_id': 64, 'vote': 1, 'weight_x_32767': None, 'modified': 1691383318000.0, 'conversation_id': None, 'datetime': 'Mon Aug 07 2023 04:41:58 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 195, 'statement_id': 62, 'vote': 0, 'weight_x_32767': None, 'modified': 1691383315000.0, 'conversation_id': None, 'datetime': 'Mon Aug 07 2023 04:41:55 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 195, 'statement_id': 45, 'vote': 1, 'weight_x_32767': None, 'modified': 1691383313000.0, 'conversation_id': None, 'datetime': 'Mon Aug 07 2023 04:41:53 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 195, 'statement_id': 42, 'vote': 1, 'weight_x_32767': None, 'modified': 1691383307000.0, 'conversation_id': None, 'datetime': 'Mon Aug 07 2023 04:41:47 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 195, 'statement_id': 3, 'vote': 0, 'weight_x_32767': None, 'modified': 1691383290000.0, 'conversation_id': None, 'datetime': 'Mon Aug 07 2023 04:41:30 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 178, 'statement_id': 5, 'vote': 1, 'weight_x_32767': None, 'modified': 1691380683000.0, 'conversation_id': None, 'datetime': 'Mon Aug 07 2023 03:58:03 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 154, 'statement_id': 21, 'vote': -1, 'weight_x_32767': None, 'modified': 1691365000000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 23:36:40 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 154, 'statement_id': 20, 'vote': -1, 'weight_x_32767': None, 'modified': 1691364981000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 23:36:21 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 154, 'statement_id': 13, 'vote': 1, 'weight_x_32767': None, 'modified': 1691364972000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 23:36:12 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 154, 'statement_id': 45, 'vote': 1, 'weight_x_32767': None, 'modified': 1691364961000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 23:36:01 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 154, 'statement_id': 7, 'vote': 1, 'weight_x_32767': None, 'modified': 1691364954000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 23:35:54 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 154, 'statement_id': 11, 'vote': -1, 'weight_x_32767': None, 'modified': 1691364923000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 23:35:23 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 154, 'statement_id': 34, 'vote': 1, 'weight_x_32767': None, 'modified': 1691364906000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 23:35:06 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 154, 'statement_id': 29, 'vote': 1, 'weight_x_32767': None, 'modified': 1691364801000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 23:33:21 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 154, 'statement_id': 15, 'vote': 0, 'weight_x_32767': None, 'modified': 1691364783000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 23:33:03 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 154, 'statement_id': 24, 'vote': 1, 'weight_x_32767': None, 'modified': 1691364765000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 23:32:45 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 154, 'statement_id': 41, 'vote': 1, 'weight_x_32767': None, 'modified': 1691364713000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 23:31:53 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 154, 'statement_id': 26, 'vote': 0, 'weight_x_32767': None, 'modified': 1691364678000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 23:31:18 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 150, 'statement_id': 58, 'vote': 1, 'weight_x_32767': None, 'modified': 1691362974000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 23:02:54 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 132, 'statement_id': 31, 'vote': 1, 'weight_x_32767': None, 'modified': 1691356705000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 21:18:25 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 132, 'statement_id': 11, 'vote': 1, 'weight_x_32767': None, 'modified': 1691356613000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 21:16:53 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 132, 'statement_id': 60, 'vote': -1, 'weight_x_32767': None, 'modified': 1691356569000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 21:16:09 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 132, 'statement_id': 3, 'vote': -1, 'weight_x_32767': None, 'modified': 1691356488000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 21:14:48 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 132, 'statement_id': 51, 'vote': -1, 'weight_x_32767': None, 'modified': 1691356482000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 21:14:42 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 132, 'statement_id': 29, 'vote': -1, 'weight_x_32767': None, 'modified': 1691356454000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 21:14:14 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 132, 'statement_id': 29, 'vote': -1, 'weight_x_32767': None, 'modified': 1691356453000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 21:14:13 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 132, 'statement_id': 1, 'vote': -1, 'weight_x_32767': None, 'modified': 1691356440000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 21:14:00 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 132, 'statement_id': 1, 'vote': -1, 'weight_x_32767': None, 'modified': 1691356440000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 21:14:00 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 132, 'statement_id': 53, 'vote': 1, 'weight_x_32767': None, 'modified': 1691356432000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 21:13:52 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 132, 'statement_id': 53, 'vote': 1, 'weight_x_32767': None, 'modified': 1691356432000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 21:13:52 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 132, 'statement_id': 20, 'vote': 1, 'weight_x_32767': None, 'modified': 1691356404000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 21:13:24 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 132, 'statement_id': 17, 'vote': -1, 'weight_x_32767': None, 'modified': 1691356391000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 21:13:11 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 132, 'statement_id': 38, 'vote': 1, 'weight_x_32767': None, 'modified': 1691356364000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 21:12:44 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 132, 'statement_id': 5, 'vote': 1, 'weight_x_32767': None, 'modified': 1691356357000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 21:12:37 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 132, 'statement_id': 34, 'vote': 1, 'weight_x_32767': None, 'modified': 1691356348000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 21:12:28 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 127, 'statement_id': 60, 'vote': -1, 'weight_x_32767': None, 'modified': 1691355721000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 21:02:01 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 95, 'statement_id': 17, 'vote': -1, 'weight_x_32767': None, 'modified': 1691350743000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 19:39:03 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 91, 'statement_id': 24, 'vote': 1, 'weight_x_32767': None, 'modified': 1691349942000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 19:25:42 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 91, 'statement_id': 45, 'vote': 1, 'weight_x_32767': None, 'modified': 1691349939000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 19:25:39 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 91, 'statement_id': 20, 'vote': 1, 'weight_x_32767': None, 'modified': 1691349938000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 19:25:38 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 91, 'statement_id': 21, 'vote': 1, 'weight_x_32767': None, 'modified': 1691349934000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 19:25:34 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 91, 'statement_id': 5, 'vote': 1, 'weight_x_32767': None, 'modified': 1691349933000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 19:25:33 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 91, 'statement_id': 15, 'vote': 1, 'weight_x_32767': None, 'modified': 1691349931000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 19:25:31 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 91, 'statement_id': 15, 'vote': 1, 'weight_x_32767': None, 'modified': 1691349931000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 19:25:31 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 91, 'statement_id': 49, 'vote': 1, 'weight_x_32767': None, 'modified': 1691349923000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 19:25:23 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 91, 'statement_id': 10, 'vote': 1, 'weight_x_32767': None, 'modified': 1691349922000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 19:25:22 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 91, 'statement_id': 22, 'vote': 1, 'weight_x_32767': None, 'modified': 1691349921000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 19:25:21 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 91, 'statement_id': 23, 'vote': 1, 'weight_x_32767': None, 'modified': 1691349921000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 19:25:21 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 71, 'statement_id': 29, 'vote': 1, 'weight_x_32767': None, 'modified': 1691348315000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 18:58:35 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 37, 'statement_id': 18, 'vote': -1, 'weight_x_32767': None, 'modified': 1691344477000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 17:54:37 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 37, 'statement_id': 10, 'vote': 1, 'weight_x_32767': None, 'modified': 1691344464000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 17:54:24 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 34, 'statement_id': 29, 'vote': 0, 'weight_x_32767': None, 'modified': 1691344277000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 17:51:17 GMT+0000 (Coordinated Universal Time)'}\n",
"Removing duplicate vote: {'participant_id': 14, 'statement_id': 6, 'vote': 0, 'weight_x_32767': None, 'modified': 1691343183000.0, 'conversation_id': None, 'datetime': 'Sun Aug 06 2023 17:33:03 GMT+0000 (Coordinated Universal Time)'}\n",
"statement_id 0 1 2 3 4 5 6 7 8 9 ... 85 \\\n",
"participant_id ... \n",
"0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN ... 0.0 \n",
"1 0.0 1.0 -1.0 1.0 0.0 0.0 1.0 0.0 -1.0 1.0 ... 0.0 \n",
"2 -1.0 -1.0 1.0 -1.0 1.0 1.0 1.0 1.0 1.0 1.0 ... 0.0 \n",
"3 -1.0 0.0 1.0 0.0 0.0 0.0 1.0 1.0 -1.0 1.0 ... 0.0 \n",
"4 NaN 1.0 -1.0 1.0 NaN NaN 1.0 NaN -1.0 1.0 ... 0.0 \n",
"... ... ... ... ... ... ... ... ... ... ... ... ... \n",
"435 NaN -1.0 0.0 NaN NaN 1.0 1.0 NaN 0.0 0.0 ... 0.0 \n",
"436 NaN NaN NaN NaN 1.0 NaN NaN NaN NaN NaN ... 0.0 \n",
"437 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN ... 0.0 \n",
"438 NaN NaN 0.0 NaN NaN NaN 0.0 1.0 NaN NaN ... 0.0 \n",
"439 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN ... 0.0 \n",
"\n",
"statement_id 86 87 88 89 90 91 92 93 94 \n",
"participant_id \n",
"0 NaN NaN NaN NaN NaN NaN NaN NaN NaN \n",
"1 NaN NaN NaN NaN NaN NaN NaN NaN NaN \n",
"2 NaN NaN NaN NaN NaN NaN NaN NaN NaN \n",
"3 NaN NaN NaN NaN NaN NaN NaN NaN NaN \n",
"4 NaN NaN NaN NaN NaN NaN NaN NaN NaN \n",
"... .. .. .. .. .. .. ... ... ... \n",
"435 NaN NaN NaN NaN NaN NaN NaN NaN 0.0 \n",
"436 NaN NaN NaN NaN NaN NaN NaN NaN NaN \n",
"437 NaN NaN NaN NaN NaN NaN NaN NaN NaN \n",
"438 NaN NaN NaN NaN NaN NaN 1.0 1.0 1.0 \n",
"439 NaN NaN NaN NaN NaN NaN NaN 0.0 NaN \n",
"\n",
"[440 rows x 95 columns]\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"import numpy as np\n",
"from sklearn.pipeline import Pipeline\n",
"from sklearn.impute import SimpleImputer\n",
"from pacmap import PaCMAP, LocalMAP\n",
"from sklearn.decomposition import PCA\n",
"from reddwarf.sklearn.transformers import SparsityAwareScaler\n",
"import matplotlib.pyplot as plt\n",
"\n",
"n_components = 2\n",
"\n",
"# Setup participant mask (we won't derive our own list of active participant IDs this time)\n",
"# participant_ids_to_cluster = get_clusterable_participant_ids(raw_vote_matrix, vote_threshold=7)\n",
"# cluster_mask = [pid in participant_ids_to_cluster for pid in raw_vote_matrix.index]\n",
"\n",
"# Set up participant mask and cluster labels from polismath, for comparison with default Polis.\n",
"all_clustered_participant_ids, cluster_labels = extract_data_from_polismath(loader.math_data)\n",
"cluster_mask = [pid in all_clustered_participant_ids for pid in raw_vote_matrix.index]\n",
"\n",
"RANDOM_STATE = 12345\n",
"\n",
"# Configure pipelines\n",
"pipelines = {\n",
" \"PCA\": Pipeline([\n",
" (\"impute\", SimpleImputer(missing_values=np.nan, strategy=\"mean\")),\n",
" (\"pca\", PCA(n_components=n_components, random_state=RANDOM_STATE)),\n",
" (\"scale\", SparsityAwareScaler(X_sparse=raw_vote_matrix.values)),\n",
" ]),\n",
" \"PaCMAP\": Pipeline([\n",
" (\"impute\", SimpleImputer(missing_values=np.nan, strategy=\"mean\")),\n",
" (\"pacmap\", PaCMAP(n_components=n_components, random_state=RANDOM_STATE)),\n",
" ]),\n",
" \"LocalMAP\": Pipeline([\n",
" (\"impute\", SimpleImputer(missing_values=np.nan, strategy=\"mean\")),\n",
" (\"localmap\", LocalMAP(n_components=n_components, random_state=RANDOM_STATE)),\n",
" ]),\n",
" # Add more here easily\n",
"}\n",
"\n",
"# Run pipelines\n",
"embeddings = {}\n",
"for name, pipe in pipelines.items():\n",
" X_transformed = pipe.fit_transform(filtered_vote_matrix.values)\n",
" embeddings[name] = {\n",
" \"X\": X_transformed,\n",
" \"kmeans\": None,\n",
" }"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "DwoS4OvOSJqG",
"outputId": "0413d5bc-bd09-41e5-a905-4a75faab79ba"
},
"execution_count": 129,
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"WARNING:pacmap.pacmap:Warning: random state is set to 12345.\n",
"WARNING:pacmap.pacmap:Warning: random state is set to 12345.\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# [Re-]generate clusters\n",
"for name, data in embeddings.items():\n",
" _, _, kmeans = find_optimal_k(\n",
" projected_data=data[\"X\"][cluster_mask],\n",
" k_bounds=(2,6),\n",
" init=\"k-means++\",\n",
" # random_state=RANDOM_STATE,\n",
" )\n",
" embeddings[name][\"kmeans\"] = kmeans"
],
"metadata": {
"id": "nhgO-6vCFpBY"
},
"execution_count": 133,
"outputs": []
},
{
"cell_type": "code",
"execution_count": 142,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "NkGdoHCy8RdA",
"outputId": "d30500c8-6440-40d3-8424-5a445fdd2911"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 1500x500 with 4 Axes>"
],
"image/png": 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kmB4fPXo0vv76ayxevLhWB2rOvffei6lTp0KhUMDd3d1UH/xSnTp1qnH/3LlzAICuXbvWeNzOzg4RERGm7eacPn0aRUVF8PX1Nbs9OzsbwIUpbD179qzzedjCUswA0K1bN/z666+1Fk8JDQ2t0c7DwwNAVULF1dW1UeIiIqLLV1c/u2nTJixcuBBxcXE16nZe/OWy+n29Pv1xNR8fH1x99dVYs2YNysvLYTQarZZEW716NZycnBAREWHqx+3t7REeHo6vvvoKEydOrNHe3t4eP/30EwBAo9GgU6dOtWqbWzNv3jyMGDECSqUS3t7e6NatW43Fz6qZ6+8VCgWioqJqPO7v7w93d/c6+/sTJ07Ax8fH7PaL+3uFQoHu3bvb/HyssdbfR0dH4++//67xmL29fa0YPTw8zK5zQkTU2uTk5KC8vNzidxxZlpGSkoIePXogMTERN954Y53HXLVqFZYsWYL4+PgapS0v7SOsYb9YG/tFovaHSXEiGwwaNKjWVeeLRUdHIy4uDjqdzqZVqqtHg998881mt//xxx8YPXp0ncfp3Lkzrr766jrbXTzC7nLJsmx1RLulDwkt4eLR8RcTQjRzJEREZI21fvavv/7CddddhyuuuAIfffQRAgICoFarsWLFihoLVFcvdH3kyBH07du33jHcdtttmD17NjIzMzF+/Hi4u7ubbSeEwNdff42ysjKzX3izs7NRWloKZ2dn02NKpdKm/tqSXr16XVZ/35CRabIso1evXnjrrbfMbg8JCan3MZuCpb6eiKgjWr16NWbNmoUpU6bg6aefhq+vr6kOdfWgJVuxX6yJ/SJR+8OkOFEjuPbaa7F7926sW7euxpQxc8rKyvDDDz/glltuMXu1/ZFHHsFXX31lU1K8ocLCwgAAJ0+erDFNT6fT4ezZs1Y/YERGRmL79u0YNmyY1WR7ZGQkAODo0aO1rsRfzNYPJBfHfKn4+Hh4e3vXGCVORETtw7p162Bvb49ff/21xmyoFStW1Gg3fvx4KJVKrF69ut6LbQLA9ddfj/vuuw979uzBt99+a7HdH3/8gdTUVCxYsADdunWrsa2goAD33nsvNm7ciOnTp9c7hsYWFhYGWZZx+vTpGrFmZWWhsLDQ1LeaExkZiUOHDuGqq66y2ldHRkZClmUcP37c6sWIhvT31VPSq508edJqzEREbY2Pjw8cHR0tfsdRKBSmZGtkZCSOHj1q9Xjff/89IiIisH79+hrvuy+99FK9Y2O/WBP7RaL2hzXFiRrB/fffj4CAADz55JM4depUre3Z2dlYuHAhAGDDhg0oKyvDQw89hJtuuqnWbdKkSVi3bl2N6eGN7eqrr4adnR3ee++9GqOmP/vsMxQVFdWa3naxm2++GUajEa+88kqtbQaDwbT69ZgxY+Di4oJFixahsrKyRruLz+nk5ISioqI6Yw4ICEDfvn2xatWqGitsHz16FFu3bsWECRPqPAYREbU9SqUSkiTBaDSaHktKSsLGjRtrtAsJCcHs2bOxdetWvP/++7WOI8sylixZgtTUVLPncXZ2xtKlS/Hyyy/j2muvtRhP9RTxp59+ulYfPnv2bHTu3Lle64M0peq+8Z133qnxePUot7r6+7S0NCxfvrzWtoqKCpSVlQEApkyZAoVCgQULFkCW5RrtLu3vL+6/LRkwYAB8fX3x8ccf1/gstGXLFpw4ccJqzEREbY1SqcSYMWPwww8/ICkpyfR4VlYW1qxZg+HDh5vKg9144404dOiQ2brb1e+31aOEL37/3bt3L3bv3l3v2Ngv1sR+kaj94Uhxokbg4eGBDRs2YMKECejbty+mT5+OmJgYAMCBAwfw9ddfIzY2FkBV6RQvLy8MHTrU7LGuu+46LF++HJs3b661YGZj8fHxwdy5czF//nyMGzcO1113HU6ePImPPvoIAwcOtHoVf+TIkbjvvvuwaNEixMXFYcyYMVCr1Th9+jTWrl2Ld999FzfddBNcXV3x9ttv45577sHAgQNx2223wcPDA4cOHUJ5eTlWrVoFAIiJicG3336LJ554AgMHDoSzs7PFD11vvPEGxo8fj9jYWNx9992oqKjA+++/Dzc3N7z88stN8aMiIqIWNnHiRLz11lsYN24cbrvtNmRnZ+PDDz9EVFQUDh8+XKPtkiVLkJiYiEceeQTr16/HpEmT4OHhgeTkZKxduxbx8fG49dZbLZ5r5syZVmPRarVYt24drrnmmlqLSFe77rrr8O677yI7O9vi+hvNpU+fPpg5cyY++eQTFBYWYuTIkfj333+xatUqTJkyxeqstDvuuAPfffcd7r//fuzYsQPDhg2D0WhEfHw8vvvuO/z6668YMGAAoqKi8Pzzz+OVV17BiBEjcMMNN0Cj0WDfvn0IDAzEokWLAFT190uXLsXChQsRFRUFX1/fWiPeAECtVmPx4sW48847MXLkSEybNg1ZWVl49913ER4ejscff7zJfl5ERE3l888/xy+//FLr8UcffRQLFy7Etm3bMHz4cDz44INQqVRYtmwZtFot/ve//5naPv300/j+++8xdepU3HXXXYiJiUF+fj5+/PFHfPzxx+jTpw8mTZqE9evX4/rrr8fEiRNx9uxZfPzxx+jevTtKS0vrHTf7xQvYLxK1Q4KILFqxYoUAIPbt22dT+/T0dPH444+LLl26CHt7e+Ho6ChiYmLEq6++KoqKikRWVpZQqVTijjvusHiM8vJy4ejoKK6//nqLbc6ePSsAiDfeeOOy4v/ggw9EdHS0UKvVws/PTzzwwAOioKCgRpuZM2eKsLCwWvt+8sknIiYmRjg4OAgXFxfRq1cv8cwzz4j09PQa7X788UcxdOhQ4eDgIFxdXcWgQYPE119/bdpeWloqbrvtNuHu7i4AmM5V/RxXrFhR43jbt28Xw4YNMx3v2muvFcePH6/R5qWXXhIARE5Ojtmfx9mzZy3/0IiIqNnY2s9+9tlnonPnzkKj0Yjo6GixYsUK03v9pQwGg/j000/FiBEjhJubm1Cr1SIsLEzceeed4uDBg/U+d1hYmJg4caIQQoh169YJAOKzzz6z2H7nzp0CgHj33XeFEFX9qJOTk9VzWLJjxw4BQKxdu9ZqO0v9nhBC6PV6MX/+fNGpUyehVqtFSEiImDt3rqisrKzRbuTIkWLkyJE1HtPpdGLx4sWiR48eQqPRCA8PDxETEyPmz58vioqKarT9/PPPRb9+/UztRo4cKbZt22banpmZKSZOnChcXFwEANO5qp/jjh07ahzv22+/NR3P09NT3H777SI1NbVGG0s/W0uvDSKi5lbd11i6paSkCCGEOHDggBg7dqxwdnYWjo6OYvTo0WLXrl21jpeXlycefvhhERQUJOzs7ERwcLCYOXOmyM3NFUIIIcuyeO2110RYWJjQaDSiX79+YtOmTWa/0wEQL730Uq1Y2S9WYb9I1P5JQnDFOSKy7I477sDu3btNq4gTERFR+zNixAhoNBps3769pUMhIiJqcewXido/1hQnIqsyMjLg7e3d0mEQERFRE2J/T0REdAH7RaL2j0lxIjLr8OHDWLBgAf78809cddVVLR0OERERNYFdu3bhqaeeQmJiIvt7IiLq8NgvEnUcXGiTiMxav3493n//fdx6662YO3duS4dDRERETWD58uXYsmULHnvsMdx5550tHQ4REVGLYr9I1HGwpjgRERERERERERER1dvrr7+OuXPn4tFHH8U777xjsd3atWvx4osvIikpCZ07d8bixYsxYcKE5gv0EiyfQkRERERERERERET1sm/fPixbtgy9e/e22m7Xrl2YNm0a7r77bhw8eBBTpkzBlClTcPTo0WaKtDaOFCciIiIiIiIiIiIim5WWlqJ///746KOPsHDhQvTt29fiSPFbbrkFZWVl2LRpk+mxIUOGoG/fvvj444+bKeKaWnVNcVmWkZ6eDhcXF0iS1NLhEBERXRYhBEpKShAYGAiFov1M1mJ/TURE7QX7aiIiagxN2Z9UVlZCp9M16jGFELX6B41GA41GY3Gfhx56CBMnTsTVV1+NhQsXWj3+7t278cQTT9R4bOzYsdi4cWODY75crTopnp6ejpCQkJYOg4iIqFGlpKQgODi4pcNoNOyviYiovWFfTUREjaGx+5PKyko4BYVAzs9ttGMCgLOzM0pLS2s89tJLL+Hll1822/6bb77BgQMHsG/fPpuOn5mZCT8/vxqP+fn5ITMzs0HxNoZWnRR3cXEBUPUCcnV1beFoiIiILk9xcTFCQkJM/Vt7wf6aiIjaC/bVRETUGJqqP9HpdJDzc+H97S+QHJ0a5ZiivAy5t4yr1UdYGiWekpKCRx99FNu2bYO9vX2jxNASWnVSvHrYvqurKztuIiJqN9rbtGX210RE1N6wryYiosbQVP2J5OgEhZNzoxxLPv+vrX3Ef//9h+zsbPTv39/0mNFoxJ9//okPPvgAWq0WSqWyxj7+/v7Iysqq8VhWVhb8/f0vO/6Gaj9F0oiIiIiIiIiIiIioyVx11VU4cuQI4uLiTLcBAwbg9ttvR1xcXK2EOADExsbit99+q/HYtm3bEBsb21xh18KkOBEREREREVELefXVVzF06FA4OjrC3d3dbBtJkmrdvvnmm+YNlIiICFUluXr27Fnj5uTkBC8vL/Ts2RMAMGPGDMydO9e0z6OPPopffvkFS5YsQXx8PF5++WXs378fDz/8cEs9DSbFiYiIiIiIiFqKTqfD1KlT8cADD1htt2LFCmRkZJhuU6ZMaZ4AiYiI6ik5ORkZGRmm+0OHDsWaNWvwySefoE+fPvj++++xceNGUxK9JbTqmuJERERERERE7dn8+fMBACtXrrTazt3dvUVrrxIREVmyc+dOq/cBYOrUqZg6dWrzBGQDjhQnIiIiIiIiauUeeugheHt7Y9CgQfj8888hhLDYVqvVori4uMaNiIiILuBIcSIiIiIiIqJWbMGCBbjyyivh6OiIrVu34sEHH0RpaSkeeeQRs+0XLVpkGoFOREREtXGkOBEREREREVEjmjNnjtnFMS++xcfH23y8F198EcOGDUO/fv3w7LPP4plnnsEbb7xhsf3cuXNRVFRkuqWkpDTG0yIiImo3OFKciIiIiIiIqBE9+eSTmDVrltU2ERERDT7+4MGD8corr0Cr1UKj0dTartFozD5OREREVZgUJyIiIiIiImpEPj4+8PHxabLjx8XFwcPDg4lvIiKiBmJSnIiIqAO77rrrEBcXh+zsbHh4eODqq6/G4sWLERgY2NKhERERdQjJycnIz89HcnIyjEYj4uLiAABRUVFwdnbGTz/9hKysLAwZMgT29vbYtm0bXnvtNTz11FMtGzgREVEbxqQ4ERFRBzZ69Gg899xzCAgIQFpaGp566incdNNN2LVrV0uHRkRE1CHMmzcPq1atMt3v168fAGDHjh0YNWoU1Go1PvzwQzz++OMQQiAqKgpvvfUWZs+e3VIhExERtXlMihMRUZtmFAJHSytQbpQR5aiBj526pUNqUx5//HHT/8PCwjBnzhxMmTIFer0eanXr/1kKIRCfWYKiCj1CPR0R6O7Q0iERERHVy8qVK7Fy5UqL28eNG4dx48Y1X0BtVJHegPiySqglCT1cHKBRKFo6JCIiasWYFCciojZJCIEv0/PwVlIWMnV6AIASwAQfNyzoHIQAjV3LBtgG5efn46uvvsLQoUOtJsS1Wi20Wq3pfnFxcXOEV8vPRzLwxi/xOJtXDgCQAAzv7I2Xru2OKF+XFomJiIiImlexwYj5CWlYm1kAnRAAAHeVEveF+OCRMD8oJamFIyQiotaIl06JiKhNeispC8+cSjUlxAHACODnnCJM+O80ci56nKx79tln4eTkBC8vLyQnJ+OHH36w2n7RokVwc3Mz3UJCQpop0gvW7k/Bg18dQNL5hDgACAC7EvMw5cNdSMgubfaYiIiIqHmVG2XccDAB32TkmxLiAFBoMGLx2Uw8fiIZ4qLHiYiIqjEpTkREbU5qpQ5vJmWa3WYEkK3T491zWc0bVCsyZ84cSJJk9RYfH29q//TTT+PgwYPYunUrlEolZsyYYfUL5Ny5c1FUVGS6paSkNMfTMinXGfDSj8cAVCXCL2aUBSr0RizacqJZYyIiIqLmtzo9F8dKK2C0sP27rALsKypr1piIiKhtYPkUIiJqc77LzIcCsPgFyCiANen5eCkyCGpFx5sy++STT2LWrFlW20RERJj+7+3tDW9vb3Tp0gXdunVDSEgI9uzZg9jYWLP7ajQaaDSaxgy5XrYcyUS5ztJvvyox/nt8NnJKtPBxabk4iYiIqGl9kZ5ndbtSAr7KyMcgd+dmioiIiNoKJsWJiKjNSanUQZJQe5jwRcplGUUGI7ztOl5X5+PjAx8fnwbtK8syANSoGd7apBZUQKWQYJAtvwCEADKKKpgUJyIiasdSK3XWPg7CKICkitb7mYaIiFpOx8sUEBFRm+ehqrv7UkqAs5JVwqzZu3cv9u3bh+HDh8PDwwOJiYl48cUXERkZaXGUeGvg4aSG0UpC3NTOkYutEhERtWfuKiUydQaL25UAvNVMexARUW3MFhARUZtzg587DFZyokoAk3zcYc+kuFWOjo5Yv349rrrqKnTt2hV33303evfujT/++KNFy6PUZVxPfyislMVRSECfYDeEeDo2Y1RERETU3G7294TSynYjgBv9PZorHCIiakOaPFug1WrRt29fSJKEuLi4pj4dERF1AD1dHDHJx81sJ6YAoFZIeCzMr7nDanN69eqF33//HXl5eaisrMTZs2exdOlSBAUFtXRoVvm62OOe4Z3MbqtOlT8zLrr5AiIiIqIWcXewD9zVKijNXCtXAujn4ogxXm7NHhcREbV+TZ4Uf+aZZxAYGNjUpyEiog7mg25huMXfEwpUJUKrO7RAjRrf9YlEN2eHFoyOmtqz46LxwKhIqM5/C64eOO7haIePp8dgWJR3C0ZHREREzcFPo8bGflHo4mgPAKbPhQAw2ssVX/eJgKoDLrpORER1a9LiWlu2bMHWrVuxbt06bNmypSlPRUREHYy9UoG3u4XimQh/bM0tRoVRRrSzPa7wcIFC4pef9k6hkPDsuGhMHxyKn49kwiALRPg44cpoX6hZNoeIiKjD6Oxkj98HdsX+4nIcKC6DUpIw2tMFkecT5UREROY0WVI8KysLs2fPxsaNG+HoyJqeRETUNAI0dpgZxFHBHc2R1CK899tpbI/PghCAg1qJmwcEo3+oB3xcWm89dCIiImp8kiRhoJsTBro5tXQoRETURjTJUCohBGbNmoX7778fAwYMsHk/rVaL4uLiGjciIiKii+1KyMUNS//B7/HZEOcXXK3QG7F6bzKu++BvZBVXtmyARERERERE1KrVKyk+Z84cSJJk9RYfH4/3338fJSUlmDt3br2CWbRoEdzc3Ey3kJCQeu1PRERE7ZvBKOORbw7CKAsYqzPi5xllgewSLV7dfKKFoiMiIiIiIqK2oF7lU5588knMmjXLapuIiAj8/vvv2L17NzSamtOXBwwYgNtvvx2rVq0yu+/cuXPxxBNPmO4XFxczMU5EREQmv8dnI7dUZ3G7URbYfCQD86/rAQ8nu2aMjIiIiIiIiNqKeiXFfXx84OPjU2e79957DwsXLjTdT09Px9ixY/Htt99i8ODBFvfTaDS1EulERERE1U5nl0KpkGCUhcU2RlkgKa+MSXEiIiIiIiIyq0kW2gwNDa1x39nZGQAQGRmJ4ODgpjglERERdQCOdkqrCfEL7ZpsLXEiIiJqhRLKK/FTdiGKDUZEOdpjsq87nFXKlg6LiIhaKX5jpA6rUm/E6axSCAh08XOBvZofmIiIWruru/li/k/HrbYJcLNHFz/nZoqIiIiIWlKlUcZj8cnYmF0IJQCFJEEvBF44nYY3uwbjRn/Plg6RiIhaoWZJioeHh0OIukd1ETUHvVHG+7+dxspdSSiuNAAAnDUq3BEbhseu7gwNRxMQEbVae87k19nGYJQhSVIzRENEREQt7fH4ZPyYXQgAMAKmhbgrZBkPn0iGh1qFK71cWy5AIiJqlRQtHQBRc5JlgQe/OoD3dySYEuIAUKo14OM/EnHvF//BYJRbMEIiIrJm4Wbro8QBIKdUh3N5Zc0QDREREbWkxPJKbMguhKVvcBKAN5MymzMkIiJqI5gUpw5l+4ksbDueBXMTF4QA/jiVgy1H+aGJiKi1Kqow1N0IwL6zdY8oJyIiorZtfVaB1e0ygAPF5cjQ6ponICIiajOYFKcO5et/k6G0MqVeIQFr9iY3Y0RERGQrrcFoc1u1ih9xiIiI2rvdhaU2tSsxcDYwERHVxIU2qUM5m1tmqjFnjiyAJE65JyJqlVQK2xPdMaHuTRcIERERNYocnR4/ZRciR2dAgEaN63zd4a62PU1xorSyzjYSgAA7pj6IiKgmDqOiDsXD0Q7Wll6TzrchIqLWR6mQ0N/GZPez645wkW8iIqJWSgiB/53NQL9dx/D86TS8n5yNZ0+lovc/x7AsJdvmYxTYMItMAHj6VKrVwVFERNTxMClOHcr1/YPqbHODDW2IqGWkV+qwJj0PK9Jysb+ojEnPDmhyX9veo/9JzMOB5MKmDYaIiIga5IPkbLyVlAWDqEpaG4SAAKATAi8lpGN1el6dx5AkCfYKa0OeLvghuxDvncu6vKCJiKhd4Rwi6lBu7B+M5X+eQXpRJYxyzWSaUiHB10WDqQNCWig6IrKk3Cjj2ZMpWJdVABlVszoEgG5O9ljaIwzRTg6Ner4ygxEbswtxoqwCDgoFxnu7oZ+rIyQraxJQ89h9Js/0+6/LpsPpiAnzaOqQiIiIqB7KjEa8nWQ9Qb34TAZu9feEqo6kd6i9HU6Va+s8pwDwv7OZMAiBx8P86zwuERG1fxwpTh2Kk0aF7+6PRa8gNwBVC2tWfx7q5u+C7+6LhZuDugUjJKJLCSEw9WAC1p5PiAMXEqKnyiox+UACUip1jXa+X3KK0HvXMTx5MgWr0vKwNCUbEw6cxg0HE1CgNzTaeahhDp4rsCkhDgBHU4uaNBYiIiKqvx15JSiXrS98maM34N+iutd66u3iaPN5BYAlSVl4+MQ5zjYkIiKOFKeOJ8DNARsfGoZDKYXYcyYPAsCgTp7oF+LOUaBErdCCxHT8V1JudpsRQKnRiI+Ts/Fql+DLPtd/RWW4++hZU/Jdf9EXpn+LyjDj8Fn82D+K7xUtSK2y/Xp+mY4XMYiIiFqbYhvqgANAoQ2DEQa7OeH7rIJ6nX9jdiFuC/DCFZ4u9dqPiIjaF44Upw6rT4g77hsZiftHRqJ/qAeTXESt0OmySixNybHaxiiAbzPzG+V875yvNWlu7JARwL7iMuwurHvUEjWdq7v5WV0w+WKRPs5NGgsRERHVXydHjU3ttuYV19kmQFP/Wb5KCfgqo+6a5URE1L5xpDgREbVaq9JzbaofXWqUYRQCysu4uFVplLE9r9jquVQS8FNOIYZ6MNnaUmYODcfqPUkwWJ91DQC4Z0RE0wdERERE9TLEzQmh9nZIrqP83cbsArzSOQguKqXFNl529U+KGwVwxoY65ERErdmn4g44icYZ61wmZExulCO1LRwpTkRErda+ojKb6kd7q1WXlRAHAK0s23SuMqNtU36paXTydsLyGQPrHC0e6umAPiHuzRESERER1YMkSbgtwLPOdpWywD8FpVbb9HGp/2LrCgCeao4PJCLq6JgUb4PKtAbsPZOH3Yl5KKrQt3Q4RERNRm1jovuOQK/LPpeLSglPteWRSAAgC6Czo/1ln4suz+hoX/z17Gh4WFgY2cvJDhsfGtbMUREREZGtwh1sK6FSWceCnApJgrOifgMjZAA3+XvUax8iImp/eHm0DdEajFiy9RS+3H0OFfqqkYp2SgWmDgjGcxO6wUnDXycRtS9XerniQHE5rH0dclYqcG+Iz2WfSyFJmBnojXfPZVk8nyQBt9owsomaXrCHIw7MuwY/xKXj4z8SkVemg6u9CrOGhuP2waFQKHjdn4iIqLXq7mzbCO9AjRo5Oj281SqLa0DFuDnhjzpGlFdTAoh0tMe1Pu42RkpERO0Vs6hthCwL3L/6P/xxMgfyRfP7dUYZX/+bjBMZxfj63iHQWKm3RkTU1twR6IUPzmWjUpbNJqolAKt6dYJHI02BfTjUF9vyinGitAIXF0lRoGpU0Wudg+HTgNqV1Di0BiN+OZqJ+MwS2KuUuKa7H6b0C8KAcA98uy8FxzOKsedMPpw0KkzoFQD7Okb+ExERUcvo4mSPwW5O2F9cBqOZ+nUSAI1CwnUHEwAAofZ2uD/EB7OCvKG4JDn+QkQg/vjvlE3nHezuhGU9wmGv5MVzIqKOjknxNuL3+GzsiM8xu00WwIHkQvwQl46bB4Q0c2RERE3Hx06Nr/pEYPrhM6gwXkiMKwAoJOCj7uEY5uHSaOdzUimxsV8U3krKwpfpuSgxVp2xr6sjHgvzwxhvt0Y7F9XPn6dy8H9fH0RRhR4qhQQB4O3tp9DZ1xkJ2aVQSFULZykkYPORDLy59STW3DME4d5OLR06ERERmfFut1BM+u80CvQGXLpiiwCgvWg0WEqlDs+dTkNcSTnejQ6tMWq8l6sj7gnyxqdpuWbPowDweJgvJvh6oIeNI9SJiKj94+XRNuLrfclQWqmVppCANXuSmzEiIqLmEevujH+HdMdzEQEY4eGMoe7OeDTMD/8O6Y7rfN0b/XzOKiXmRQXi2PCe2B/bHUeH9cTPMV2YEG9BR9OKcNeqfSiurFpHwyALGM9/UT6dXQoBmEaZVX9/zirWYvpne6E3Wq9FSkRERC0j3EGDbQO74K5gbzifH7ltf9F33osHkFf//7vMAmzLK651rIVdgvFedCgCNRdm9CkBjPd2xdmRvfF0RCAT4kREjWTp0qXo3bs3XF1d4erqitjYWGzZssVi+5UrV0KSpBo3e/uWX6uLI8XbiJT8ClMCwBxZACkF5c0YERFR8/GyU+HhMD88HObXbOe0UygQbG/XbOcjyz7ckQAhAGG5G6zFKAukFlRg67EsTOwd0HTBERERUYMFaOzwSudgLIgKQqUs8OiJc9icU1Rr5Hg1JYAVablmByvcHOCJm7n2CxFRkwsODsbrr7+Ozp07QwiBVatWYfLkyTh48CB69Ohhdh9XV1ecPHnSdN/SOhHNiUnxNsLb2Q4J2YCVvDi8nJm8ISKi9kVvlLH1WBaM9cmIn6dUSPg9PptJcSIiolZOkiQ4KCWcKKu0mBAHACOAE6WVzRUWERGZce2119a4/+qrr2Lp0qXYs2ePxaS4JEnw9/dvjvBsxvIpbcQN/YOtJsQlCZgaw3riRETUvlTqjQ1KiAOAEAI6lk8hIiJqM5xsWADTmYtkEhE1ieLi4ho3rVZb5z5GoxHffPMNysrKEBsba7FdaWkpwsLCEBISgsmTJ+PYsWONGXqDsDdpIyb1DkC0v4vZuuJKhYRANwfcPJBJcSIial+cNSp4OjZsJpQA0DuIteCJiIjaiut8PWBtQr0CwHV+7s0UDRFRxxISEgI3NzfTbdGiRRbbHjlyBM7OztBoNLj//vuxYcMGdO/e3Wzbrl274vPPP8cPP/yA1atXQ5ZlDB06FKmpqU31VGzCpHgbYa9WYs3sIRge5Q0AkM7fAKBfiDvW3h8LNwe1xf2JiNo7oxDYVVCKTdmFiCsuh2jg6GJqXSRJwvQhobCy1rT5/QColQrcFBPcJHERERFR45sW4AlPtQpKM9uUAJxVCswM9G7usIiIOoSUlBQUFRWZbnPnzrXYtmvXroiLi8PevXvxwAMPYObMmTh+/LjZtrGxsZgxYwb69u2LkSNHYv369fDx8cGyZcua6qnYhDXF2xBPJzusumsQEnNKsTsxD0IIxIR5onuga0uHRkTUor7PzMcrienI0hlMj3V21GBxlxAM9XBuwcioMcy+IgK/HstCQnapTaVUJFSVFXvv1r7wcOJ6G0RERG2Fh1qF9f2icNuhRKRp9VCdvyhuEIC3nQpf9o6An4aDwYiImoKrqytcXW3LMdrZ2SEqKgoAEBMTg3379uHdd9+1KdGtVqvRr18/JCQkXFa8l4tJ8TYo0scZkT5M8hARAcCajDw8EZ9S6/HEci1uPpSA7/tGYYg73zPbMhd7Nb67PxZvbzuFr/aeg95oPTEuAKy+ezCGRXEkGRERUVvT1ckee4d0x9a8IvxTUAoBYLC7E8Z7u8FOwcnuREStkSzLNtUgB6rqkB85cgQTJkxo4qisY1KciIjarAqjjJdOp5ndJgOAAF5KSMOvA7o2a1zU+Nwc1Hj5uh5QKIBV/yShjrw4/Fw1zRMYERERNTqVQsIEH3dM8HFv6VCIiOgSc+fOxfjx4xEaGoqSkhKsWbMGO3fuxK+//goAmDFjBoKCgkw1yRcsWIAhQ4YgKioKhYWFeOONN3Du3Dncc889Lfk0mBQnIqK2a1teMUqMssXtMoBDJRU4XVaJzk72zRcYNZkgd0fUVUBFkgAvJybFiYiIiIiIGlt2djZmzJiBjIwMuLm5oXfv3vj1119xzTXXAACSk5OhuGhmT0FBAWbPno3MzEx4eHggJiYGu3btsrgwZ3NhUpyIiNqsLK0eCpwfFW5FplbPpHg7cV2fQLz28wnAQm1xBYDR0b6sJU5ERERERNQEPvvsM6vbd+7cWeP+22+/jbfffrsJI2oYFuQiIqI2y8dOVWdCHAB8NLwG3F74uGgwvqe/xe0ygCERns0XEBEREREREbU5TIoTEVGbNcbbDU5Ky12ZAkAPZ3t0deQo8fZClgX+O1dgtc1nfyfBKNdVZIWIiIiIiIg6KibFzcgr1SIlvxyVemNLh0JERFY4KhV4PiLA7Dbp/L8vRwZBkiSzbajt+TcpHxlFlVbbZBZVYu/ZvGaKiIiIiIiIiNoazie/yN+nc/Hub6ewL6lqBJqDWompA4Lx+NVdWJuUiKiVuivYBypJwqIzGSgwXLiYGWxvh8VdgjHC06UFo6PGll2italdjo3tiIiIiIiIqONhUvy8Hw+l49FvDuLisYQVeiO+2puMP0/lYP2Dw+DJxDiKKvTIKq6Em4Mafq4sR0BErcOMIG/cEuCJP/NLkK83IthejVh3Zyg4QtyqpKQkvPLKK/j999+RmZmJwMBATJ8+Hc8//zzs7Fpnn+frorGpnY+N7YiIiIiIiKjjYVIcQKnWgGe/PwwI1FqwzSgLpBRU4J3tp7Bgcs8Wia81SMkvxxu/nsTmIxmmOq0Dwjzw5JiuiI30auHoiIgAjUKBa7zdWjqMNiU+Ph6yLGPZsmWIiorC0aNHMXv2bJSVleHNN99s6fDMGhTuiQA3e2QWVcJS1XB/N3sM7sS+iYiIiIiIiMxjTXEAP8alo1JvtPjl2igLrN2f2mFrjKfkl2Pyh//USIgDwIHkAtz+6R5sPZbZgtEREV1QbpSxJiMPDx8/h4eOn8MXabkoM3TM925bjBs3DitWrMCYMWMQERGB6667Dk899RTWr1/f0qFZpFBIeOnaHgAAS/MAXprUHUqFhIIyHdIKK6AzXHrJm4iIiIiIiDoyjhQHcCanFEqFBINsKS1eVUolq7gSYV5OzRhZ6/DK5uMoqtDXSIgDgCyqEhLPrDuMUV19YafiNRYiajkHi8tx++FE5OuNUJ5/bF1WARaeycCXvTphsLtzi8bXVhQVFcHT09NqG61WC632Qs3u4uLipg6rhnE9/bF0egzm/3SsxqKbAW72mDepO5w0Ktz08S7sP79GiLNGhWmDQvB/V3WGq726WWMlIiIiIiKi1odJcQCOGpXFUeIXc9J0vB9XTokW249nwdL1AgGgsFyP7SeyMKFXQLPGRkQtQyfL+CW3GEdLyqFWSLjGyw19XR1bNKYcnR43xyWgzFg1IvjiseGlBiNuiUvEFD8P7MwvRqUs0NPZAXcFe2O8txsk1h03SUhIwPvvv19n6ZRFixZh/vz5zRSVeeN6+mNMdz/8m5SPrOJK+LrYY1AnT2w8mIYHvzqAi3+tpVoDPv87CX+cysH3DwxlYpyIiIiIiKiD63hZXjPG9/THe7+dtrhdIQH9Qj3g7Vx70a6iCj2+3ZeMtftTkV+mQ7CHA6YNCsX1/YOgUSnNHK1tSSkot5gQr6ZUSDibW9Y8ARFRozlSUo4v0vNwuKQcjkolJvq44WZ/T7haee/aW1iKu48mIVdvgEqqujC2JCkLsW5O+LRnJ3jZtUy3sjo9D2VGuda6EEDVWhGVQuDbzHzTBdDdhaX4u7AU0/w98VZ0SLtLjM+ZMweLFy+22ubEiROIjo423U9LS8O4ceMwdepUzJ492+q+c+fOxRNPPGG6X1xcjJCQkMsLugEUCglDIi7UDi8q12Pu+iMQAMQlfZdRCCRml+LDHQmYO75b8wZKRERERERErQqT4gC6Bbjimu5++O2E+RHRQgCPXtW51uMZRRWY+vFupBVWmL5855frcGj9EXy3PwVf3j24zY8ud7WvO35ZFnCxoR0RtR5LzmbijaRMKCXAeL4U0p7CUryTlIXv+0Ui2smh1j6nyypxy6FE6M6/URouer/8t6gMtx1OxM8xXVBkMGJtZj7iyyrhoFBgvLcbhns4N2ni+eecIrMJ8Ytd/PZePZL868x8DHRzwm2B7WtRxieffBKzZs2y2iYiIsL0//T0dIwePRpDhw7FJ598UufxNRoNNJraF4pb2vqDqdAbLb8SjAL4em8ynhrTFWolS34RERERERF1VMxknvfurX3x6Ddx2HY8C0qFBIUEGIwCGpUCr9/YG1d08am1z/+tOYiMosoao9Gq/x+XUojXfj6BV6/v1UzPoGlE+jgj0scJZ3LKLJaYkSRgbA//Zo2LiBpuU3Yh3kiqWiDXeP4Pu/rvu0BvwLRDZ7B3SDfYKWomDZcmZ0MvhNnksxHAoZIKLExMx2epudALAeX5HPjnabno6+KA1b0j4d1EI8kr5IYtpCgBWJaa0+6S4j4+PvDxqd1vmZOWlobRo0cjJiYGK1asgELRdpPFCdl1rxFSXGlAQZkOvq72zRgZERERERERtSZMip/naKfC8hkDcCKjGFuOZKBUa0SEjxMm9w2Ei5nao8fTi7H/XIHF48kCWLs/Fc+Mi4abQ9utXSpJEp4e2xX3rz5gfjuA6YPD4MfkAlGb8WFyNhSAxeR2hlaPn3OKMMXPo8a2DdmFpiS6OQoAS1NyTPcvHkl+pLQC0w8nYktMlyYZMd7HxRFnK7RW4zNHADhZVolyowzHDjhyOC0tDaNGjUJYWBjefPNN5ORc+P35+7e9i522zs5ysGv75c2IiIiIiIio4ZgUv0S3AFd0C3Cts91/yQWQAKsLdOqMMo6lF2FopHejxdcSxvUMwOIbe+GlH49Bq5ehUkgwCgEB4LZBoZh3bfcGHdcoC+yIz8ah1EKoFAqM7OqDPsFc9I6oKZUbZRwsKbfaRiUBfxaU1EiKy0LUORrb2lajAOJKKvB3QSlGeLrUJ2SbzAryxrosyxcq66LsoG8727ZtQ0JCAhISEhAcHFxjm7i0KHcbMK6nPz7584zF7QoJiI30Mnuxm4iIiIiIiDoOJsUbSGFjAkXRThK8twwMxYReAdh0OAPJ+eVwd1BjYu8ABHs4Nuh4h1MLcd+X/yGjqBIqhQQB4O3tpxAT5oGPp8fAx6X11aolag9kGxKdAqg14lohSQixVyOlUt/gc6skYEtuUZMkxQe6OeHxMD+8fS6rxij4ui5eKgD0d3WEpg2XDLkcs2bNqrP2eFvSL8QdQyO9sPdMPoyXvNarXwsPj669RggRERERERF1LB0zC9AIhkR4WU20AFXTs3sFuTVLPM3BxV6NaYNC8ey4aNw3MrLBCfGU/HJMW74HWcWVAACDLGA8X/81LqUQ0z/dC52hYfWBicg6J6UCkQ4aWLtcZxRVSeZLzQz0vqxOQ6Dhtb9t8WxEAJb3CEdf1wvvTT2c7OGmUsJSsQwZwIOhvk0WEzUvSZLw8R0xiI30BACoFBJUCgkSAI1agfdu7YfYyPZVP56IiIiIiIjqjyPFGyjSxxkju/jg74RcU0L3YpIE3DEkzOb6ph3J5/+cRaVehrl10IyywMmsEmw9nolJvQObPziidk6SJNwf6oOnT6aa3a5AVeL8ej/3WtvuCvbB5pwiHCopr1EqpXoErqNCgXIrSW9ZANFOtq8/UGow4qecQiRX6OChVuJaX3cEaOys7nOtrzuu9XWH7nwcdgoFTpRW4Ka4ROTrDaaLmUqpKvn/bCd/TPCp/Vyp7XK1V2P1PUNwKKUQvxzLRLnWgM5+LhbXCCEiIiIiIqKOhxnby/D2LX1x+/I9OJFZAoVUlfBRKiQYZYFRXX3w1JiuLR1iq7TxYJrZCwnVFBKw6XAGk+LU7gkhYBRVo1mb0+0BXthXVIbvMgugRNXimgCgBKBWSFjZqxOclLXHVjsqFfi+byTeSMrE6vQ8lBqrEs+dHDR4NMwPqZU6LEnKtFhbXC1JmOrvaVOMX2fk4blTaaiQZagkCbIQeDkhHXcGeWNB5yAo6yhNZXdROZRuzg7YNTgaa7MKsDmnEBVGGb2cHTEzyAs9XRo244Vaj9xSLdYfSMW5vHK4OahxbZ9AdAtwRZ8Qd/QJcW/p8IiIiIiIiKgVYlL8Mng62WHjw8Ow+XAG1h1IRU6JDiGeDpg2MBRXRvtC0cyJrraiTGu0ul0WQHFFw+sWE7V2J8sq8VFyFjZmF0IrCwRo1LgzyBt3B3ubTUY3NoUk4d3oUIzxcsOKtFwcL62AvUKBSb5uuDvYB+EOlmv6O6mUeDkqCHM6BSClUgc7hYRQeztIkoQKo4wd+cU4UFxzJLkSVWVK3o4Ogae67m5nc04hHo9PMd03XFQb+vO0XKgkCfM7B9XrObupVbgn2Af3BPvUaz9q3T7/+yxe+/kEZCGgkKrWp/hoZyLG9/TH27f0hb266f+eiIiIiIiIqO1hUvwyaVRK3NA/GDf0D27pUNqMUC9HJGaXWqzJrlRI6ORdu54xUXuwu7AU0w4lQn9+lDgAZGj1eP1MBn7KLsSGflFwVjV9Ik+SJEzydcckX/cG7W+vVKDzJaVQHJQKfNc3CkuTs7EiLRe5egMAYJiHMx4N88Mwj7oX2BRC4LXEDIsLZAoAn6bl4OEwX/jYsRRGR/ZDXBoWbDpuun/xIrK/HsvEnHWH8c6t/VoiNCIiIiIiImrluNAmNbsZsWFWtxtlgWmDQpspGqLmo5cFZh9Ngk6+kBCvJgM4XlqBN85mtkhsjcVRqcCTnfxxeFgPnBjeE2eu6I3v+kbZlBAHgJPllUis0FpdyFgWwJacosYJmNokIQTe2XbK4oKxsgB+iEtHSn55s8ZFREREREREbQOT4tTsbhkYggHhHrBUXeae4Z3QM8iteYMiaga/5BYhV2+wWHPbCGB1Rh4qjJYXq2wrFJIED7UKjsr6dTPFeuvllYCqjqvYUHc7ar8Sc8pwNq/c6sUTSaoaMU5ERERERER0KSbFqdlpVEp8efdg3HtFJFw0Fyr4BHs4YOGUnnh+YrcWjI6o6RwrrYCqjqUGyowykit1zRNQKxTqoLE4+reaEbBa95zavwqdDRdPJAnlNrQjIiIiIiKijoc1xalF2KuVmDM+Go9d3Rkp+eVQKRUI83Tk4qTUrtkpJAhrQ1vPs+/Afwf+GjWu8nLBjrwSmEtnSgDc1UqM8XZt7tCoFQn1dIRKIcEgW/6DMsgCnX2dmzEqIiIiIiIiais4UpxalL1aic5+Lujk7cSEOLV7V3u5mk30VpMARDhoEGpv11whtQrplTr8U1CCQyXlkIXAgqhguKiUUF7ylqBA1c/o7a6hsFOw++rI3BzVuLZPIJQW+g1JAjyd7HBVN79mjoyIiIiIiIjaAo4UJyJqJr1dHDHc3Rm7C0vNJscFgMfC/SBJHeMCUVKFFs+dSsWO/BJTbeggjRrPdArALwO64JWEdGzJLTLVYO/v6og5EQEYbuOindS+zZ0Qjb1n85BVrIXxohHjSkmCJAFv39IXdipePCEiIiIiovZn965bodE0TllRrVYL4PVGOVZbwm+LRETNaHnPcPRxdQQAqKSqkc/K89ueDvfHzf6eLRZbUys3yliTkYeHj5/DrCNncOW+eOy8KCEOAGlaPR6NT8avuUX4rFcnHBnWE9sHdMH+2O7YFNOFCXEy8XWxx48PD8ftg0PhoK76K5IkYFRXH6x7YChGdvFp4QiJiIhs8+qrr2Lo0KFwdHSEu7u72TbJycmYOHEiHB0d4evri6effhoGg6F5AyUiImpHOFKciKgZeahV2NS/M3bml+CH7EKUGo3o5KDB7QFe6OTYfhePPFhcjtsPJyJfb4QSgAzAWnn1hYkZmOrvCS87Fbzs2FWRed7OGiyYXLVAc2G5Hk4aFZw1fL0QEVHbotPpMHXqVMTGxuKzzz6rtd1oNGLixInw9/fHrl27kJGRgRkzZkCtVuO1115rgYiJiIjaPn5zJCJqZgpJwpVerrjSq2MsFpmj0+PmuASUGasKoVirq17NIATWZxXgnmCO9qW6aVRK+Lkq625IRETUCs2fPx8AsHLlSrPbt27diuPHj2P79u3w8/ND37598corr+DZZ5/Fyy+/DDu7jrUeDRERUWNg+RRq1fLLdFjxz1m89vMJfPxHItILK1o6JCKqp9XpeSgzyqba4LZQSRJSKnVNFhMRERFRW7F792706tULfn4XFpAeO3YsiouLcezYsRaMjIiIqO3iSHFqtZb9kYg3t56EQRZQKSQYZYHFv8TjrqHheH5idygUHWMxQqK27ueconolxAHAKAS81A3vog4Wl+Pvgqp65QNcnRDr7tRhFjBtb05mlmD1nnM4mFIIjUqBq7v54ZaBIfB0Mj8qrlJvxPoDafj632SkFJTD09EON8YE4/bBoXB35Eg6IiJqezIzM2skxAGY7mdmZprdR6vVnl84rUpxcXHTBUhERNQGMSlOrdKavclYtCXedF9vvFB9+PN/kuBgp8JTY7u2RGjtghCCCUJqNhVyfVPiVfXGJ/u613u/DK0Odx9NwoHictMCpkYAXZ3ssaJnJ0S047rt7dGnf53Bws0noDx/YRQADiQX4KOdCVh992D0CXGv0b5Ma8Dtn+5FXEohJFS9jgrL9Viy9SRW7zmH7+6LRYinY7M/DyIi6njmzJmDxYsXW21z4sQJREdHN8n5Fy1aZCrLQkRERLWxfAq1OgajjLe3nbK4XQBY/tcZFFfqmy+odiBbq8fCxHT0+PsIAnceQu9/jmLxmQzk67lqPTWtPi6OUNbjGowE4AZfd3yXmY+Hjp/D3FOp2FNYCiGsLc0JlBtl3HgwEYdKygFUJcOr65cnlFViysHTyNPx9d5W/HU6Bws3nwAAU0IcAISoSn7P+PxflGpr/j5f+/kEDqcWVrW76HFZANklWvzf1webOmwiIiIAwJNPPokTJ05YvUVERNh0LH9/f2RlZdV4rPq+v7+/2X3mzp2LoqIi0y0lJeXynhAREVE7w5HiTcAoC/xxKhs/xKWjoEyHEE9H3DowFL2C3Vo6tDbhYEohckq1VttoDTJ2xGdjct+gZoqqbTtXocWk/04jX28wJQmzdQa8ey4LazPzsSmmC/w16haNkdqvWUHeWJdVYLVN9ahelQT0c3HE+uxC01VbSQJWpOVihIczVvTsBGeV+QUVN2QV4EyF+fcOI4BcnQFfpufisXDzXx6pdVn+55kaI8QvJgugqEKPjQfTMH1IGICq+2v3p8JMcwBVfXNcSiGOphWhZxD7YyIialo+Pj7w8WmcBcNjY2Px6quvIjs7G76+vgCAbdu2wdXVFd27dze7j0ajgUbDGXJERESWMCneyIoq9Lhr5T78d67A9GVeqZDw1d5kTB8SigXX9bRYC7tCZ8TqPefw5Z5zSCkoh5OdCpP7BmL2iAiEezs18zNpOZeO/LPkcGohk+I2evh4MvINFxLi1WQAGVo9nj6Zgi972zZShai+Bro54bEwP7xzLgsKwFRfvPr/47xcEevuBBeVChWyjOdPpwG4MMq7esjvroJSPHziHFb2Mv9aXZeVb0qumyMDWJtZwKR4GyCEwD+JeWYT4tUkAP8k5JqS4icyiqEzWi/VI0nAf+cKmBQnIqJWJTk5Gfn5+UhOTobRaERcXBwAICoqCs7OzhgzZgy6d++OO+64A//73/+QmZmJF154AQ899BAT30RERA3EpHgje/K7OMQlFwK4MN27+t/Ve5IR4uGI+0ZG1tqvTGvAbcv34EhakWmUW6nWgG/2pWDDwTR8dc9g9Av1aJbn0NI6edl2AWDFriRM7B2I/h3k59JQJ0orsK+4zOJ2I4DtecVIrdQh2J6L0FHTmBMRgB7ODliako0DxVXlTXo6O+D+UF9c7+sOSZIghEDs3hMWE9tGAL/kFuN0WSU6O9nX2l6gN1pMiFcrMlx6aYhaq7rK5QA1y6oobVl8WQBco5mIiFqbefPmYdWqVab7/fr1AwDs2LEDo0aNglKpxKZNm/DAAw8gNjYWTk5OmDlzJhYsWNBSIRMREbV5TIo3osScUmw/kW21zbI/z+Cu4Z2gVtYs5/7WtlM1EuLVjLJApd6IB1YfwN/PjoZK2f7LwId7O2FwJ0/sS8q3OA0eAIQMvPHLSXx975DmC64NOlxSUWcbAeBoSQWT4h3IqbJKbMgqQL7egFAHDab6ecC3iUvoXOvrjmt93aE9v/CmRlHz/SyxQoukCp3VYygA/JpbZDYpHumowamyylozIi7eN9yBr/G2QJIk9A1xR1xKoeV+QAIGhF+4KNoz0A1OdkqU6Sxf+BAAhkZ5N26wREREl2nlypVYuXKl1TZhYWH4+eefmycgIiKiDqD9Z1ib0Z+nciDVMQItv0yHExnFNR6r1Bvx9b/JFr/4ywLILK7E7/HWE+7tycIpPWtdOLiUALD7TB6yiyubJ6g2SmXjqEg1h092CDpZxsPHz+GKf+PxXnIW1mTk4dXEdPTbdQzvn8uq+wCNQKNQ1EqIA0BlHaUvgKpRvpUW3iynB3pZTIgDVeVTZgYxIdpW3D08wmK/KAHQKBWYGhNieszBTokZQ8OtHrOzrzMifZwbL0giIiIiIiJqk5gUb0R6owxb0or6SxI/5/LKUW5lZBsAqBQSjqYVXUZ0bUtnPxdMjQm26eeZV2Z9ZGlHZpAF1texwCEA2EkS+rs4NkNE1NJePJ1mek0YBaAXVcliI4BXz2RgTXpei8UW7qCBpo6LMwYBdHOuPUocAEZ6uGCKr7vZ9w0FgBEezpjiy3JLbcWEXv64a1g4gJqlUZQKCSqlhKXTY+DhVHPk/xPXdIG/m/nXBwCczi7FL0czmiReIiIiIiIiajuYFG9EvYPdrZb7AAA7pQJRvi41HlMr6079CqDOkdPtTXSAa51tJAnwdeHiMpZ8kJyF3/NL6mynEwJj/juFxHKOum/PsrR6rE7Pg7Xx2G8mZUK2oZZzU3BWKXGzv6fFjkkBwEetwhgv84skSpKED7uH4dlO/vBQK02PuygVeCjUF6t7R3BGRBsiSRJenNQdK+4ciBGdveHpaAd/Vw1uHxyKXx67AqOjfWvtk15Ygcwiy+9jkgS8ve2UTfXKiYiIiIiIqP1iTfFGNLiTJyJ9nJCUV15j8a9qSknCDf2D4OZQs25vuJcTgj0ckFZQYXGROKMszCYA2rNrewdiwU/HobNQUkEpSRgV7QMvZybFzdHLAstTc+tceLBaeqUONx1MxN9DouGkVNa9A7U5W/OKrCbEASBdq8eR0gr0aaGZA5N93fF1Rp7ZC4xKAMt6hFtNbCslCY+F++PBUF+cLtdCFgJRjvZw6GAXFdsLSZIQG+EFtUKBCr0RXf1cEOpl+bX567FMKCRYvEAtBHAyqxTn8soR7m3bos5ERERERETU/jBL0IgkScKHt/eHk0ZZY6o3UFUHt7OfM+ZO6FZrP4VCwoOjoiwmL5WKqqRAzyDzoyPbKzdHNZ4dH212m1ICNGoF5owzv52Ac5Va5OkNNrc3AsjQ6fFDVmGTxUQtq9zGEk9lhrprezeFlEod7jxy1mxCUwIQ7GCHAW62JevtFAr0cHZALxdHJsTbKFkW+OD30xi4cDumf7YXs7/Yjyve2IHpn+5FSn652X3KtEYo6lrcA0CZzvb3RiIiIiIiImp/mCloZNH+rvjl0Sswa2g4PBzVUEoSgj0c8My4aKx7YGitUeLVpg0KwQOjIgFcqJ1aXVWlW4ALPry9f7PE39rcPbwTFt/Yq1aJlH6hHlj3wFB09nOxsCc1pEiEBGBzTmEjR0KtRWdH+zpHiisARDq2zOyLT1NyUG6UzcYoAJyt0GFLbsdZW6Gje2XTcby59RRKtDUT2LvP5GHKR/+YLZMS6esMQx11zFRKCcEeXEOBiIiIiIioIZYuXYrevXvD1dUVrq6uiI2NxZYtW6zus3btWkRHR8Pe3h69evXCzz//3EzRWsbyKU0g0N0BL07qjhcndbd5H0mS8Oy4aFzfLwhf/5uMpNwyuDqoMal3IK6M9q018rwjuWVgKG7sH4yDKYUoqdQjzMsJkT7OLR1Wqxdmr4GvnQrZ9RgRKQCU11UYn9qskZ4uCNSokanVm008KwGM8XaDn8b8xbumti6rANaWHFYA2JhViMk2LpZZaZSxKacQO/JLYBACfV0ccWuAJzzU7Ppau8ScUqzYlWR2m1EWKCzXY+nOBMyf3LPGtjHd/eDmoEJxhcHs7CulQsLkPoEWL1ATERERERGRdcHBwXj99dfRuXNnCCGwatUqTJ48GQcPHkSPHj1qtd+1axemTZuGRYsWYdKkSVizZg2mTJmCAwcOoGfPnmbO0DyYGWhluvi54KVra7+AOjqVUoGB4Z4tHUabolJIuDfYB6+eybC5rrhSAno62zdpXNRylJKED7qF4dZDiTAKUSMBrZQAT5UKCzoHtVh8pUZrKXFABlBksN6m2smyStwal4gMnR5KVF3w+TG7EK+fzcAnPcIx1rtjlaNqa9b9lwqlQjK7PgdQlRj/bn8qXpzUHaqLyuPYq5VYMrUv7v1yPyTUrC2uVEjwddHgWZbdIiIiIiIiarBrr722xv1XX30VS5cuxZ49e8wmxd99912MGzcOTz/9NADglVdewbZt2/DBBx/g448/bpaYzWH5FILeKOPnIxmY98NRzPvhKDYdToeuhWoKU+N6INQX1/tVjaq1ZelMowDuCPRu2qCoRQ31cMammM64xtvNVGLHXiHhtgAvbB3YBSH2di0WW7iDxmrZH6UERNlQ2qXMYMTUuARk6/QAqurly6hKjOtkgbuPnsXx0orGCJmaSGZx7dIol6rQG1GmrX2R5OrufvjuvlgMjbzwXmavVuDWgSH44eFh8HXlhT8iIiIiIqJLFRcX17hptdo69zEajfjmm29QVlaG2NhYs212796Nq6++usZjY8eOxe7duxsl7obiSPEOLj6zGLM+34fM4kqozpdo+WL3Ofi6aLDizoHoEcjRlG2ZUpLwYbdQ3OjngS/Tc3G6rGrxzcJLRtsqUJU0fDEyEF2cmDBq73q7OGJlr04oNRhRbDDCU62CfStYjHJmkDeeO5VqcbtRALcHetV5nPXZBRbLBonzt09SsvFOt7AGRkpNzce57osfdkoFnDTmL/cNCPfE6nsGo7Bch5JKA3xcNLBX23JpkIiIiIiIqGMKCQmpcf+ll17Cyy+/bLbtkSNHEBsbi8rKSjg7O2PDhg3o3t18GenMzEz4+fnVeMzPzw+ZmZmNEndDMSnegeWX6TDtkz0orqgaTXnx4mR5pTpMW74Hvz0xCj4uLbPoHjUOSZJwlZcrrvJyBQAYhcCqtFwsT83B2QodACDG1QkPh/mypEQH46xSwlnVeInCMoMR67IK8EN2IUqNRkQ72WNGoDdi3Jxs2v+2AE9syCrA/qIyszXPJ3q7YX1mAb5Kz0N3Zwfc6OcBFzPx/5pbDAmwWDbIKICfc4vxjq1PjJrdlH5BWPbnGYvblQoJ1/cPqlE6xRx3Rzu4O9qhUm/E9/+l4pejGSjTGtHV3wW3DQ5FFy7WTEREREREBABISUmBq6ur6b5GYzkf2LVrV8TFxaGoqAjff/89Zs6ciT/++MNiYrw1YlK8A/tmXzKKKvQwV7LVKARKKw34+t9kPHJV5+YPjpqMUpJwV7AP7gzyRplRhkKS4NgKRglT23auQosbDiYgTas3JaSPllbg28wC3Bfsg5ejAiFJ1hcM1igU+LZPJN44m4kv0nNRaqxKjfvbqaFWAJtzi6A6fwijAOYnpOH9bmGY5Ote4ziVRrnOOvo6mSWiWrNuAa64oX8QNhxIq/W7VCokONop8eCoSJuOlZJfjtuW70FKQQUkCRAC+DcpHyt3JeHJa7rg/9jHERERERERwdXVtUZS3Bo7OztERUUBAGJiYrBv3z68++67WLZsWa22/v7+yMrKqvFYVlYW/P39Lz/oy8BMWAe2+XCG2YR4NVkAPx1Kb76AqFlJkgRnlZIJcbpsshC4/fAZZJ6v4V39tmI8/59lqTn4OiPfpmM5KBWYFxWIo8N6YuegrvhrUDT87JRIrzw/o0VU3QSASlng3mNJ2FdUVuMYvVwcrNbQVwDo4exg+xOkFrH4xt64a1g41MqaF1O6+Dlj7f2xCPOqewaCLAvMWvEv0ouqapSL86/J6gU8l2w7hU2H2c8RERERERFdDlmWLdYgj42NxW+//VbjsW3btlmsQd5cOFK8AyvTmq+5e7FyXe1FzIiILvZHfgkSyi0vwCEB+CA5G9MCPOscLV7NXqlAtJMD/swvwaFS84suClQluN87l4Uve0eYHp8R6I2PU3IsHlsGcHewj01xUMtRKxV48doe+L+rOuPP07mo1BsR7e+CXkFuNr2Ockq0eHv7KSTmlFlso5CAj3cmYlLvwMYMnYiIiIiIqN2aO3cuxo8fj9DQUJSUlGDNmjXYuXMnfv31VwDAjBkzEBQUhEWLFgEAHn30UYwcORJLlizBxIkT8c0332D//v345JNPWvJpMCnekUUHuCKloMI0Yu5SSoWE6ADWWyUi6/4sKIFKqhrBbY4AcKZCi0ydHgEau3ode3NOodVjGwFszyuGVpahUVTNeujkqMHCzkF4/nQalOfbABcWlL3JzwNTLim5Qq2Xu6MdrutTO2mdkl+OhOxSONgp0T/UA3aqqt+/EAJvbz+ND3ckWOzfqskCOJpejMJyHdwd6/faJCIiIiIi6oiys7MxY8YMZGRkwM3NDb1798avv/6Ka665BgCQnJwMheJCVYKhQ4dizZo1eOGFF/Dcc8+hc+fO2LhxI3r27NlSTwEAk+Id2vTBYfjlqOWVXo2ywB1DwpoxIiJqi+rIO5oYbWx3sXJZNpW8sEQA0MoCmosqAd0d7IMoR3t8lJyNPwtKIAB0cbLHvcE+uDXAEwobR6xT65OcV45n1h3CnjMXSvI42inxf1dG4f6Rkfj4jzN477fT9TrmkbQijOjM2QNERERERER1+eyzz6xu37lzZ63Hpk6diqlTpzZRRA3TJEnxpKQkvPLKK/j999+RmZmJwMBATJ8+Hc8//zzs7DgSq7UYFuWF6UNCsXpPsmlhPACm/986MAQjuzBJQETWxbg5YVmq5XIlAOBnp0KARl3vY3dxtK9z0UwftQouZmrjj/R0wUhPFxiFgCwAtYKJ8LYuvbACE977C6WXlP8q1xmx+JeTSMguxRYrF3st+fbfZCbFiYiIiIiIOpAmSYrHx8dDlmUsW7YMUVFROHr0KGbPno2ysjK8+eabTXFKagBJkvDK5J7oHuCK5X+dxdncqrqrYV6OuGdEBG4fHGpz/V8i6rjGe7vB106FXJ0BspntEoB7gn2gbMD7ya0Bnlh81vKiwAoAdwZ7W32vUkoSlHwraxde2XS8VkL8YusOpDXouL8ez4IQgn0eERERERFRB9EkSfFx48Zh3LhxpvsRERE4efIkli5d2m6T4gVlOnyx+xy+25+C/DId/Fw1mDYoFLcPCYOzpnVWqTmWXoRlf5zBlqMZ0BsFAtzscfOAYNw/MhIOdq0zZiJqfdQKCV/0isBNcQmoMMqmGt7Vs078NSrsKSxFrt6A6QFe6Oxkb/OxfezU+F+XEDxxMsVUE7yaAkBfV0fcH+LbaM+lI3r11VexefNmxMXFwc7ODoWFhS0dklk6g4xfj9V/FLgt9EYBgyyg5tUTIiIiIiKiDqH2fPMmUlRUBE9PT6tttFotiouLa9zagrTz07nf/e0U0gorUKE3IimvHK//Eo/JH/yN/DJdS4dYyx+ncjD5w3+w+UhVQhwAMooq8f7vCbjjs39RqTfWcQQiogv6ujrij0HRuD/UF4EaNVyVCtifL1eSrTXgt/wSfJqagxH/xuONsxn1OvZtgV74uncEBro5mR7zUCnxaJgfvu8bBUczpVPIdjqdDlOnTsUDDzzQ0qFYVVypt7l+fX0FuNlDzdcRERERERFRh9Es3wATEhLw/vvv47777rPabtGiRXBzczPdQkJCmiO8y/b4t3HILtHW+rIuBJCUV455PxxtmcAsqNAZ8fCaAzAaBYyXBC0L4EByAT7amdhC0RFRWxVkb4cXIwPxX2x3dHayh+78+0v1JbbqhTaXJGXhu8x88wexYLSXK37o3xknh/fE4aE9cGRYTzwbEcCEeCOYP38+Hn/8cfTq1aulQ7GqKWddZRRV4u6V+3Ays6TJzkFEREREREStR72yCXPmzIEkSVZv8fHxNfZJS0vDuHHjMHXqVMyePdvq8efOnYuioiLTLSUlpf7PqJmdyirBv2fzayWXqxllgZ+PZCC7pLKZI7Psp8PpKKk0WFy8ThbAl7uTYDCaqw5MRGTdf8Xl+K+4HJbmm0gA3jtXVcO5vtzUKvhq1FBx0cwOx16thIdj/RdrtdXOkzm4/qN/cCy9qMnOQURERERERK1DvYZdPfnkk5g1a5bVNhEREab/p6enY/To0Rg6dCg++eSTOo+v0Wig0WjqE1KDZJdUYvWeZPx0KB2llQZE+TrjjtgwjOvhD0U9Ey1xyYV1tpEFcDStCFdG215HtykdTy+GSiHBYGUeekG5HtklWgS6OzRjZNTayULgTIUWelkgzEHDUbpk1va8YqgkwGDhLUYASCjXIk2rR7C9XbPGRo1Dq9VCq9Wa7jdXubMHR0fh1c0nGrSvl5MdvJzscCq71Ox2oxCo1Bvxwoaj2PDQsMsJk4iI6kGWjUjYtweHtm1BQXoq7J1d0G34KPS6cizsnZ1bOjwiIiJqp+qVFPfx8YGPj49NbdPS0jB69GjExMRgxYoVUChaR/LseHoxpi3fg5KLapPml2mx+0weJvTyx/vT+kNpY2I8v0yHg8kFNrVVtpLnDwAalW2x2NqO2j8hBFZn5OHdpCykavUAAEeFArcHemJOpwA4qZQtHCG1JjpZwJZ3UX1TFYgmzJkzB4sXL7ba5sSJE4iOjm7Q8RctWoT58+c3aN/Lcc/wTtibmIft8dn12k+SgCGRXpgZG46bl+222E4WwMGUQpzKKkEXP5fLDZeIiOpgNBjw09uLkLh/LySFAkKWUZKXi5zkJPz38w+49eXFcPcPaOkwiYiIqB1qkqxnWloaRo0ahdDQULz55pvIyclBZmYmMjMzm+J0NjMYZdy9ah9KL1msq7rO7ZYjmfjs7zM2HeeVn45h0Kvb8fW+uku82KsViAnzaGjYje7KaF+ro8QVEtAryA1ezk0/ap/ahtfOZODpk6mmhDgAlMsyPkvNxQ1xCShnqR26SB9XB+jryHe7qZQIslejSG/AX/kl+Cu/BEV6Q/ME2AE8+eSTOHHihNXbxTO76qulyp1JkoTlMwdgQk//+u0H4Ex2KZZsPWlT+6TcsgZER0RE9bV3w7dI/O9fAICQL/o8KQTKiwqx8Y1XGlRujYiIiKguTbJq1bZt25CQkICEhAQEBwfX2NaSH2p+i89GRpHl2t4CwOd/n8XdwyOsjhZ/fsNRfLc/xWJN7otJEnDHkLAmXSCsvgZ18kSfYDccTS82WwtdFsBDoyNbILLGlZJfjn1JVYv5DQz3RIinYwtH1DbFl1Xg/WTzozJlAIdLKrAyLRcPhvo2b2BUpzPlWmTp9PC1UyHSsfnKN433doOXWoUCvQHmLpcoANwW4Il5p9OwJiMfuvP9gkYhYZq/J+ZFBbE0z2Wqz8yuhmiucmfmSJKE+ZN7YuvxLKsXeC8mC+Bklu2LaLrYN13tciIiqmI06HFgy0+Ahe+HQpaRl5qM1BNHEdK9dS8GTURERG1Pk2QdZs2aBSGE2VtL+u9cQZ2Ls2UWa5FRVGFxe2JOKb61ISFenVS/prsfnh7bsOnpTUWSJHw6cyC6+FXV6FMqJEioGiEuScALE7thXM+2O02xoEyHe1btwxX/24EnvjuEJ747hCv+twOzv9iPgjJdS4fX5nyVlmd1uwDweWpO8wRDNvm3sBQT/juFoXtP4PqDCRi2Nx7j9p/EnkLztZQbm51Cgc96hsNOIUF50VuudP7W39UR/xWXYVV6nikhDgBaWeCL9DzcfjiRpVWaUXJyMuLi4pCcnAyj0Yi4uDjExcWhtLR5Xi8N4eOiwavX9wRQ1XfZQhaALS8rLyc7DAhvPbO7iIjaq/z0NGjL6u5rDv7yUzNEQ0RERB1N6xm+3MRkWaBMa7BpdLdCsvwN+4eDaVAqJLMjrC82roc/bh8cithIL0hWjtdSfFw02PR/I7DzZDZ+PpKJcl3VgqM3Dwhp0yOqK/VGTFu+B6ezSmv8rgWA3+OzMW35Hmx8aBjs1ayBbasDJeV1tknV6iGEaJWv9Y5mV0Epbj6UUCv5d7ikAjfGJeDbPpEY7tH0tZKHuDtj+8CuWJaSgw1ZBSg1ygixV2NWkDfclCo8ecp8uQ0ZwO7CMmzKKcT1fkxMNod58+Zh1apVpvv9+vUDAOzYsQOjRo1qoajMKyrX41h6ESRJwqTegQhwc8CHOxKw92zVrCA7ZdUi0pdzTeWJMV2g5kwFauNkIfB3QSmOllbATiHhai9XhDuwLB61LrZ+akzYtweVpaVcdJOIiIgaVbtPisuywMpdSfjs77NIK7Q8Ahyo+mAW7OEAf1fLZQbyynQ2fYB7YVI3BLg51C/YZqZUSLiqmx+u6ubX0qE0mg0H0xCfaX6KvFEWiM8swQ9xabhlYGgzR9Z25ej0dbaRACbEWwEhBJ4+mVI1IvaSbTIASQB3HjmLG/08MMrTFVd7udY5e+ZyRDna4/EwP0gAvsvMR3KlHgsTM+qcoiQBWJ2ex6R4M1m5ciVWrlzZ0mFYVao1YOGm41h3IBX68wuBOKiVmD4kFF/cPQh6o4BWb4S7ox2KK/Q4k1uKu1fuQ2FF3XXqVQoJRiGgUkh4emxX3D44rKmfDlGjSa7Q4myFDi4qBfq4OEIpSThcUo57jyUhqUIHJare/188nYaJPm54NzqUi2NTq+ERGASNk3Odo8WFLOP4X7+j//jrmikyIiIi6gjadVJcCIGnvj+EDQfSbBohLgDce0UEFFaSRIHuDpDrKANjp1TAw9GufsG2MUUVevwQl4YzOWVw0igxvmcAega5tXRYWLs/BZJksTQhJAn4dl9Kh06KCyFwqKQC5yq1cFepEOvuBDuF5TSlvZVt1Zowr9phlBiM+C4zHz9mF6LEYERXJ3vMCPLGEDcnmy84HCwuR2KF1uJ2AaDEKOPL9DysTM9DmL0d1vSJaLJ64+cqtJj432kU6A0wnn9MRu2Evbk4kytZ6oiqVOqNuH35HhxNKzItjA0AFXojPv37LBJzyvDpjAGmtTs8nOwQ4+RpU73xEA8HXNc3EP5uDri2dwDc23nfTe3H6bJKPHc6FX8VXEgmBmjUuDvIG++cy0LF+QWwjRftsyWnCIX6s1jbN5IXsqlVUKrU6H3VWOz7cZ3VdgqlEnkpyc0UFREREXUU7Top/nt8NtYfSKuzXXU5lNsHh2L6EOsjxG7oH4QlW09aPdb1/YPadXmO9QdSMXf9EegMMpQKCQLAhzsSMaqrDz64rX+LLiqaXaK1mBAHqpLlOSWWk4bt3f6iMjx1MgXxZRcWnPVUKzGnUwBmBHmb3SfK0R6nyq3/zLzV7fqtpMmdLdfihrgEZGqrRuULACfLK7EhuxB3BnrhtS7BNiUwbE0kVydJUit1uOlgIv4eHN0kIwfnnEqtkRCvDx87vqaoyvoDaTiUWmR2mxBVff3OU9m4MrrmrKcufi6ISym0WEpFIQEju/i0unU/iOpytlyLiQdOo8xQ8901Q6vHwjNVs3HMXXw0Avi7sBT/FJY2SxktIlsMmnxTnUlxAFDbs/wPERERNa52nXX4cs+5Out/O2uUGN3VF7cNDsOQCM86E08Bbg74vys7493fTtfaplRIcHNQ45GrOl927K3VH6dy8OR3h0wj7y8eiffnqRw88vVBfD5rYMsEh6qR/OmFFVaTIIHurbusTVM5WFyOGw4mwHDJVYN8vRHPnEpFhSzjvhDfWvtN9ffAz7nmE1JA1Wq9twd6NXa4HYYsBKYfPoNsrb7GjJbqEbEr0vMQ7eyAmRYuWlzMs54XJ4wAMnR6fJ9VYNPx6yOlUoed+SU2zdIx51Z/z0aNh9qur/9NhgRYfC0pFRK+/jelVlJ85tBwHPgmzuJxZQH8ejwT43oGYHjnxn39EzWl186ko8xotHjB0dpsHJUEbMgqYFKcWg17ZxeE9OiF1ONHISyMbJGNRnQeNKyZIyMiImrdZlSOhItwapRjlWjL8Dpeb5RjtSXteiWp01kldS6I6e2swfu39a/XgpiPXd0Z86/rAS+nC9OsJQDDIr2w8cFhCGrHSdd3t5+CpR+TfH7E3vH04uYN6iK3DAixusCaLIBbB4U0X0CtyILENBiEsPhledGZDBQban/FvsbLDQNcHWFuHLFSArztVLizkROqHcnO/BIkVmgtJjckAB8lZ1v8onixWHdneNUzMS4B2JRdWK99bHGqrLLBCXGNQsKN/qwnTlWS88utvpaMskBKfu0Fga/tHYiJvQOsrgOSU6LDjM/3Yn9S3mXHSdQcCvUG/JxTs5RQfRgFUKBvyPwdoqYz5IZpFt/nJYUCQdE9ENi1W7PGRERERO1fu06KO9lQxqMhpT4kScLMoeHY89xV+P7+WKy6axD+enY0vrh7MEK9HBsSap2MskBBmQ4Vupb7IpNbqsWBZMtT0YGqEXtbjmY0X1CXuLZPIPqHuputca2QgP6h7pjYK7D5A2thqZU67C4sszp6rFIW2JRTWOtxlULCmj6RGOvtZkouVf/b09kBP/bvDB87dSNH3HH8XVAKlZWsnQBwrlKHDG3dC56qFRKejwyo1/kFgDK5rirf9edgQy16S54I94OTsv2WoCLbaA1GPPFdHIoq6n7tX3yRuppCIeG9W/vhqTFdre4rC+CulftRpq17UU6ilpata1hJqmoKCQhxYO18al1Ce/bGhIefhFKtBiQJCqUSivOfA4K6dsPkp19gHXwiIiJqdO26fMq1vQPx9vZTFpO4klSVRG0otVKBAeFNO8W/TGvAsj8SsXpPMvLLdZAAjOjsjYev7IxBnZqvvIBRFsgprrsWt0ICyrQtl7i3Uynwxd2DMf/HY9hwMM1U3kWlkHB9vyC8fF0P2Kna9bUgs7J1dSeVVBKQZSHx6qpS4vNenXCuQos/C0pgEEA/F0f0dW2ai0AdiWzjeGpb09a3BXhBJwu8kpiOMmPdeykloLtT4y+0OcDNER4qJQrMzD6wGAuAIHs73B3k0+jxUNvz8JqD2HY8y6a2YV7mpw0qFRKcNHVfYCmuNOCRrw/isxYs/0VkC4/LXLPGKKr6CaLWptvwUejUbwCO/7kDeannoNbYo/OgoQjs2o0JcSIiImoS7TopPm1wKD7/5yyKK/S1ppkqFRLcHdW4ZWDrLaVRpjXglmW7cTyj2JTYFwD+ScjF3wm5eH9af0zsXb9RofWVkl+OD3ckYMPBNGgNdSfY9EaBKF/nJo2pLs4aFd6Y2gdzxkfjUGohAKBPsDu8nDvuAj2+NozkNgrAr452YQ4a3OHQcX+OTWGQmxM+Tsmx2sbfToUAje2j8WcFeWOqvwc2ZBXiq/RcHCypsNjWKGBxkdXLYadQ4JEwP8xPTLd5n76ujljeIxzOTbDoJ7Utx9KLbE6IA0BiTqnZxw+lFGKdDQtuA8Bv8dlIyS9HiCcv9lHr5WOnxggPZ+wqKLU6YlwJmN1+X4gPujbBhVCixmDv5Iz+469t6TCIiIiog2jXSXFvZw2+vncI7lyxDxlFlVCdr6lhkAUC3OyxYtZAuDu23imkH+1MqJEQr2YUVeUrnvwuDiO6eMPVvmlKV5zKKsFNS3ehTGesszY7UBWTRqWA1mDEG7/Gw8PRDpN6B8LfzfKXr7TCCny7LwVnckrhrFFhXE9/XNHZBwpz9U/qyctZU2vhtY4q2N4Og92csK/IcgkVO4WEiT5uzRoXAWO83BCgUSNbqzebwJAAzA7xhbKeo6TWpOdj4Zl0aGVhdpFCBapGnz8e5ofeLk2TBLw/xAd5egM+SM42u106f7sryBs3B3g2WRzU9izZeqpe7QvKdTXu640ynvzuEH48lG5xHYxLSQB2nszGHbHh9To3UXOb2ykAkwsTIMysEyIBmB7gCa0Q2JBVCP359Sh87VT4v1A/3BPMNUCobdJXVuLQtp9xaNsWFOVkQ+PoiO5XXImYiZPh6l17oXgiIiKiurTrpDgARPu74q9nRuO3+GzsPZMPSQJiI7wwOtoXykZIvDYVg1HG6j3JFku/CABag4wfDqY12Rf4x7+NQ5nWCKMNC/wppKq6rAZZYMFPx6FUSJCFwGs/n8CdwzrhuQndav28P/3rDF79+cSFOtWShG/2paB3sBtW3jkInmZqxFLDzYsMxJSDCYCFxTaf6RQAt3ou0kiXT6WQ8GWvTrgxLhGlBqMpMV49ym+ijxvuC65fOZE16Xl4MeHC6Fhzf8HdnO3xcKgfrvdrugUtJUnCC5GBuMXfAw8cP4ejpZUALjw3T7UKH3QLxWgv1yaLgdqmY+lFNrdVKiSEetYsn/LGryfx0+GqWQo2dGEAqkqq2TIjiqil9XdzwpreEXgkPhkZWr3pwqdaknB/iA/mRARAKUmYHxWEhHItNAoJ3Z0cTINDiNoabXk5vps/BznnzpoWHq8sLcHBX37CsZ3bccvLr8MnrFMLR0lERERtTYfIgKmUCozt4Y+xPfxbOhSb5ZXp6lxcTKmQcCrL/JTxy3UktQjH0ottbt/J2wmJOWWmGt6Gi7L5n/99FmqlAnPGR5se+/lIBhZuPgHgooTd+Q+5x9KLce8X+7H2/ljWEGxEMW5O+K5vJJ6KT0FixYX68G4qJZ7u5I+7m6CEBtmmp4sj/hwUjZVpudiQXYBSg4wuThrMCvLBJB83KOrxd2CQBRadsb7YrYMk4cf+nWssZmmQBbbmFeHnnCKUGo3o4miP2wO9ENYI5XIUkoTeLo44XVYJrQAclApc7eWKRZ2D4WHXIbohakJGWWDaoAul0Ior9Vi1K8nmZHg1WQA9AjlbhtqGEZ4u2B/bHX8VlCCxXAsXlRLXeLnC46KL2x5qFQa68T2W2r6/1qxETnKSKSFeTcgydJUV+PGt13DXO5/wewMRERHVS4f9pCzLApKEBn14EkJg/7kC/HEyB3qjjN7B7hjTww9qZeMt4Ghv40JKDnZNU3v3RKZtCfHXb+yFMd39cO37/1hsIwB89vcZ3D8ywlSu5oPfEyBJ5kfwGeWqn29cSiH6hV7+KNaicj1+OJSG5LxyuDmoMalPIDp5m1+Urb2LdXfG34Oj8V9xOc5VaOGmVmGEhzM0io63+Ghr46dR49mIADwbcXnrBOwrLkOO3mC1TYUQ2JFXgkm+7gCqFli9+VAiTpZVmkZxb0Mx3k/OxouRgXgwtOHTkg8UleGmuERohWxa26HUKOPH7ELEl1Xih35RnKFAtQwI88DmI5k2tfV0UmPFP2cRn1mCmweE4GByQYNGfLs7qLFy11k8t+EInDUqTOwdgFsHhrTqMmvUsSklCaM8XTGq+dZdJ2p22vJyHN25HUI2/74uZBmFmRlIPnoIYb36Nm9wRERE1KZ1qEyEziDjq73n8MXuczibWwaNSoFxPf1x7xURNo8Oyy6uxOwv9uNQalGNGuVuDio8OaYrJvcNgpvD5df4dnNQY2C4B/47V2CxhIpBFhjTvWlqZtualA9yd0BaQSXSCi0v5AdULcC57XgWpg4IQXZJJY5nWE+6KxUSth3Puuyk+Oo957Dgp+PQyzJUCgmyDCzZdgo3xQTjtet7wU7V8ZLBkiRhgJsTBrh1zAsDrVWR3oBDJRWQAPR2cbCaKD5RWoFlKdnYnFOESlkg2skedwV742Z/TxQbrC29dkF1OyEE7jh8BgllVaVNqveu/ndBYjpC7e1MCfT6MAqBe44loVKWa5XskQGcLqvEq2cy8L+urXfBY2oZdw7rZHNSPL9Mj78T8rArMQ/v/3Yadw1v2BT6wgo9th7PMl2sPZpehOV/nsE39w5BZz+XBh2TiIguT356Cox6ndU2kkKBzMTTTIoTERFRvXSYjKDWYMSdK/7Fgp+OIym37PxjMjYdzsDkD/7BjpPmF4K7mM4g4/ZP9+Lo+bIiBlmYyoQUVRgw74djGLBwG+auP4xSrfWRmrb4vys7W5z+rVRIGBDugZiwpqkHfEVnb6iV1kfRO2tUGBjuiZJK62VegKqa4yWVVT8Trb7uEXyKRqjtuvlwBl7YeBQ6owwhqhLz1fXR1x1IxUs/Hr2s4xM1hnKjjDknU9Drn2O4+VAiph5KRO9dxzD3VCrKjbX/Bn7LK8aY/aewNqsAJUYZeiFwrLQCj8enYPbRJITY2zaqNcyhqt2uwlIcLq0wu8gnUNVJvJ+c1aDn9nteMdK1eouLuxoBfJeZj1IbE/nUcQwI98Td9Uxuy6Kq31j+55kGn/fiPlcIoLBcj1kr9sFg5m+RiIiqyEYjMk6fRPLRQygtyG/UYytVNgw2EgJKVYca60VERESNoMMkxT/96yx2n8mDQM1F54yygFEWePirAyirI5G99XgmTmeXwmhp6DaqEq/f7kvBtE/2oFJ/eYmeK7r44H839YZKAUioShRXr5HUN8Qdn84Y0GS189wd7TBjSBisHf7eKyJgr1Yi1MuxzuPJAqaSJX6u9nC1t/7BVW8U6B7Q8MX3hBBYsu0kLIUvBPDNvhRkFFkf4d5WGWSBnfnF+DYjHzvyimvUeKfWQy8L3HYoEV+k50F3UTZOKwusSsvF7YfPQH/R767EYMTso0kwCGEqRQLAlHTekluEXYWl6OfiAEtzPRQAwuztEOvuDADYllcMlZW/cxnAoZIK5Onqf6Hvj/ySOttUygJnLqpxT1TthYndEFHPUlcCVf1NgJt9oyymbRQCaYUV+C2+7gvnREQdjRACB3/5CcsenIU1LzyJta88j08emIkf3lyI4tycRjmHd0gYHN3c64yjU9+YRjkfERERdRwdIikuywKrdiVZLEMiAJTpjPghLt3qcTYfzoAt37FlARxNK8La/Sn1D/YSoZ6O8HDUVCXzBUzPIcDVHhpV09QTrzZnQjdM7hsEAFApJCglmJIMM2LD8PDoKABAsIcjhkd5Q2khgy5JgJ+LBld08QEA2KkUuG1wmMWfpSQBrvZV9VwbKjGnFGdyylBXKvjXo7ZNz29LfswuRMzuY7j10Bk8Gp+MaYfPoN+uY9iQVdDSodElfswuwJ6iMrMjqWUAuwtLsTmnEGmVOnxwLguzjpxFuSxbfV1/mpKDxV2CYaeQaiXGFai6sLYkOsS0eKdOFoDFy0cX6ET9RsoahcD3Nr7m7BoheUntT3xmCc6cn9lVH0YhYKdSwNPJrlES4yqFhD1n8i77OERE7c2utV/h9xXLUF54ob8XQiDxv3+x5oUnG2XUuEKpxMDrbrS4XVIoEN6nP7yCQy/7XERERNSxdIikeH65Dtkl1kciqhQSjqYXWW1TqjVYTKyb89XeZNsbmxGfWYwZn/+LvLKq2C8+9c9HM/DQmgOXdfy6qJUKvHNLX/z8yAjcOSwc1/YJxOwREdj+xEgsmNwTiouSDS9f1wNOGmWtBETV6HYJ/5vap8a2R66KQs8gt1qJcaVCglIh4f3b+ttc19ycUm3do/SVkoQyXfsq27ApuxD3HktC1iWjenP0Bjxw/BwT463M6vQ8q2/CCgCvJKZjwO7jeO1MBnYVllo9ngCQVKlDJ0d7bI7pgpGeLjXS3YPdnbCxX2cM97hQH7mXiwMMluo0neelVsFHXb+1ErbnFaPQhrIogXYqdHG0r9exzTEKgY1ZBbjh4Gn0+ecoRu6Nx3vnspBfx6Kj1HrtSsyz4XKNZZsfGY67h3cyzUxy1jR8an0dfyJERB1OUXYW9qz7xuw2IcsoLyrEvxvXNsq5YiZMRp8xEwEAkkJ5/t+qT1B+naIw8ZFnGuU8RERE1LF0iOJraqVtuX+7OtpF+jhjV2Ke1fIp1QSA09mlmPLhP4j2d8Htg8PQK9i2xTyrffB7AgyyMJuIlwXwe3w24lIK0TfEvV7Hra/uga7oHtjdapsoX2f88PBw/O+XePx6LNMU88BwTzw1tisGhnvWaO9op8K398bi83/O4svdScgs1kKlkDC+pz/uHxVp88KnloR4OEAhwepFDIMs6j01vzUzCoEXE9KstnnhdCqu9XE3LRLbkgr0BnydkY9NOYUoN8ro5eyAmUHezbIA6NGScnyVkY/E8kq4qVSY7OuOsd5uUDfzzyVFq7NYbxuoGi2epq2q2V+fnJxKktDd2QFr+kQiW6tHpk4Pb7UKgWbqjU/29cC802koM9ZeDBOoSszfGeRd79fMPwWlUEmAoY7A7w72MY1abyidLOOuo2exPa8EClT93LJ0Brx+JgOfpuZgY7/OiHDUXNY5qHmlFpTjx7i0er3uqykkYECYB3xd7PHchG54bkI3GIwyVEoFrn3/bxxNL6pXktsgCwzu5Fl3QyKiDuT4n79DUiggZPOfZIQs4+iObRh5x92XXe9bUihw9d0PoNfoa3Dk960oyEyHg4srug0fiU79BkChaNrZs0RERNQ+dYikuJuDGv1C3HEotdBiktQgC1zVzRcAcDa3DF/sTsK241nQG2X0C/XAzNhw3DooBCt3Jdl8XqMsEJdSiCNpRfhmXwoeGh2Jp8Z0takOuM4gY8vRTKsJeJVCwo9x6U2eFLdVJ28nLJ0eg4KyqpH57o5q+LlaHgHqYKfEQ6Oj8NDoKFTqjbBTKmqMPr8cXs4ajOsZgF+Pmf8ZSgDcHdW4qptfo5yvNdhbWIYMrfVFT/P0Rkw+eBofdg9DuEPLJQmPl1bgprgEFOiNpqTX6fJKrM0qwP+F+uK5iIAmqZcvhMCCxHQsTcmBUgKMoirp+1NOIbo72ePbvpHwsavfiOjL4aNWI61S36DEnzkKAAPdnOBw0QU+X40avhrLz8lRqcDynuG44/BZSLhQq7z6pz/IzQkPh/rWOxbrRV4uuNHv8hcLfudcFn7PKzl/3otjAPJ0Bsw6cgZ/DIpusjUYqHEl5Zbh+o/+QVFF3Ys4myML4I4hYTUeU53/m3h6bFfM+Pxfm4+llAAfF3tc07399BVERI2hODcbVhcfAqDXVkJbXgZH18sb7FLNLyIKfhFRjXIsIiIiog5RPgUAHhwdZTEhrlRIiPZ3wbBIb+yIz8aYt//AF7vPIbWgAlnFWmw7noVpy/fg58MZpjra9VGdlP1wRyI2xlkfyVutQmesc0S6AFBYoat3PE3Nw8kOXf1drCbEL2WvVjZaQrza8xO7ma0pq5CqPsMvubkP7FTt508gR29bAulgcTnG7z+Fcy20uKFOlnHboUQUXZQQB2BKxr6fnI2N2YVNcu4v0/OwNCWnxvmqk6gnyysx+2iSqW2R3oDlKTm468hZ3HXkLJan5KCokUtx3BLg2WgJcaDquTQkgT3K0xW/DuiCG3w9oDn/9xLmYIf5UYH4tm8k7G2cbXOxgW5OdY4SD64jYW8LnSzj89RciyPujQBOlWvxTx2lZ6j1ePK7OBSU6+tVruxSWoP5V0RRuc7qrIeLtygkwMVBjc9nDTQl1YmIqIqDi2ud09gkhRJ29g7NExARERFRPXWYb3nXdPfDvEndIUkwLQhZnSwN93LEyjsHoaBchwdW/weDUdRISFf//73fE9A3xA3/u6k3wr0c6x2DJAHL/jgDYcO8bWd7FVzqqH8qhECoZ/3j6CiC3B3w48PDcH2/QKiVF1IdQyK88O19sbgyun2N/PO3cYSzDKDYYMSiMxlNG5AFP+cUIVNngKVq0woAHyZnN/p5ZSHw3rksi9uNAthTVIa44nL8U1CC/ruPY15CGrbkFmFLbhHmJaSh/+7j+KegpNFimurvgShHDZRmcnT1eXNWoiqZNz8qENd4N2w0VndnB7zfPQxJV/RG+qg+2DOkO+4N8YVG0bBuYry3G3ztVLUW+6wmAbgvxPeyS6cklmvrrF2ukqpmUlDrty8pH/8lF172cd7ZfgoAUKY1YOfJbGw9lonP/z6D//smDgZr2XYJ8HfRoLOvMx67ugu2PT4S3QNdLzseIqL2JnrYSAjZcv8rKRToGjscKrvapduIiIiIWoMOUT6l2l3DO+Ga7n74Zl8yTmWVwtFOiXE9/HF1dz+olQp8tDMBOqPlSf9KCfj8nySsmT0EU2OCEZ9Zgvk/HsOes/mQUHfNXyGA+MwSFJTr4elk/QOiUiFh2uBQfPbXWRgtJNEFgKkDQup62h1agJsD3pzaF/Ov64nsEi1c7VXwcq5ZNqRCZ8TW45lIK6yAl5MdxvUIgJtj85XQaCwD3ZwQYm+H1Epdna9FI6pKhizWG+Cmbt63gb/rqDUtAzhaWoESgxEuqsarEZlUoUNqHeVllAA2ZhdgVVoetHLt94IKo4zph8/g78HdEGSmPnd9OSmV2NAvCg8dP4c/C2qOZO7j4oCDJRV1HmOgqyMGuDnhjkDvRqmbLUnSZS1uWM1OocCXvSNw08GEGvXKlah6/U32dcddwd6XfR5bcurCxnbU8pb8erJRjrP7TD7uXPEvdp/JQ6XeWuX+Swhg9shI3D28U6PEQUTUXvmGRyB66BU4ufuvWgN+JIUCSpUKg6+/uYWiIyIiIqpbh0qKA0CIpyOeHhttdtu+s/lWp2sbBbA/qQBAVeKoW4ArvrkvFmdySvFPQi5+PJSOA+cKTGUZLDFYWJDmUg+MjMQvR6uStRePXK9OwD95TRcEuXNKoi2cNCp0MjPy/vv/UvHyj8dQqjVAqZAgywIvbDyKh0d3xiNXRbWpGsQKScJrnYMw48hZm9obBZCh0zd7UtzWWtONWVYEAHSi7r87SQIOFJdDJ5tfdFIGoJMFVqXl4rnIwEaJy8dOje/6RuF0WSX2FlWNZh7i7oRIBw2G7Y1HUoXWbCxKADFuTvixf+cGnVcIgXy9EUoJcG+i10AfF0f8NbgbVqXlYkN2AcoMMqKd7XFnkDfGebtd9ihxAIh0sIeXWoU8K6VtjAIY5u582eeiplWpN+Lfs/mNdrwdJ3PqvY8AcDy9qNFiICJqz8Y++DjUDg44umMbhCxDkiQIIeDq7YuJjzwN75Cwug9CRERE1EI6XFLcmuoRktaSceZyOBE+zojwcYazvQr7zifNLQl0t4e3k22jOT2c7LD+waF4bfMJ/Hgo3TTlO8jDAY9c2Rk3D+Qo8cvx85EMPLX2kOl+9YUHvVHg7e2noJCA/7uqYQnHlnKNtxu+6NUJ/3ciuc6SEgDgoWr+t4BBbk5Yk2E58SUBiHLUwKWRa/iG22vgrFSg1Gg5OW4QQGqFzmJpF6BqlPOW3KJGS4pX6+xkj85ONevwv9ctFDfGJcAgixoxKVG1QObiLsH1Po9BFvg8LQefpOSYRs73cnbAQ6G+mNIIi15eyl+jxrMRAXg2IqDRjw0AaoWE+0J8sOhMhtn3bqUEdHdywCA3pyY5PzWeuOQCi7Xhm1NqQd0zNIiICFCp1Rhz7/9h6NTbcfbgfui1WniHhCGkR682NbCEiIiIOqYOU1PcFkMjvaxuVyokq23G9wyAh6MaltbwkgDcNaxTvRaU9HbW4K1b+uK/F67BDw8Nw6+PXYE/nx7NhPhlEkLg9S3xVstEfLAjASWVti1e2Zpc4+2GrQO6WH1uCgBD3Jzgd5mLHDbEZF8PeKiUFt98BID7Q3wb/cuUvVKBOwK9LJ5XCSBAo4bahndF7eWsAFgPA9ycsLl/Z1zl5Wr6fSoBTPRxxy8DuqCbc/1mihiFwP3Hk/BSQnqNUjLHSitw//FzWHI2s/GCP88gC2zLLcKylGx8lZ6HXF3jLlYKAA+F+mKyrzsAmGqYS+dvgRo7rOjViV/O24BXfz7R0iEAAArKW98C1kRErZmzhyd6XTkG/cdfi9CevdnnEhERUZvAkeIXmRoTgre3n0KFzmi2jIpRFrhnRITF/e3VSiyfMQAzPv8XWoNsGnmskABZAGN7+GPW0PAGxebmqEYfR/cG7Uu1HUsvRnJ+udU2WoOM305kY0q/oGaKqvGEOmgwM9ALq9Lzao2erU4WNtXI3bo4KKtqTd9yKBGVRtk0Arq61vRtAZ64LcCzSc79dKcA7Csqw3/FVb/76p+N8nxcn/fshOUp2UjVFlosg6SUgBjX5lvgtqeLI77oHYFCvQH5eiO87VRwbWCt9Y1ZBdiUU7s0RPXo3DeSMjHOxw096plsv5gQAnuKynCitALJlTp8n5mPXL0RivPnefZUCu4K8sa8yCCo6nGB0BqlJGFp9zBM9ffEl+m5SCzXwu3/2Tvr8Dqq9I9/Zq7F3T1pk9TdkQKF4lBcipWlsLtFC/yAxbWw7CK7uBRdKF60RUpLKRXqbnH35Mavzfz+uE2aNNfiSXs+z5OnvTNnzrz33rkj3/Oe76vVcFFUCJdEBuPXg970gt7hq62F7Cys7e8wAHrEU18gEAgEAoFAIBAIBAMbIYq3IdBHx+JrJzPv3Y00Ww4L4xpZwqaoPHD2cI4b6row3KSkEH68/UTeXZvDdzuKaDTbSI3w49oZSZwzJgZND4lAgu5R0+g+A1ySBnfG4BOpcWgliXeKKlBUe3a4DQjRaXlhWDzT+9FjeVKgL6unDOPdwgq+LauhUVEY6efNvNgwTgsN6LUMIx+NzOfjhvJBUSXvFlaQ12zGVyNzUWQwN8aHk+htYF5cOF+W1Tjtw6bC9XHhvRKfK4J02m57f79dWNEqTjtCI8H7hRU8k961mSjb6xr52+5csppMHda17NOqwpsFFZgVlae7uB9HSJLErNAAZoUG9Fifgr5BUVSeWTYwssRlCYZFi2NIIBAIukNdZQV5u7ajKDaih6QRlpDU3yEJBAKBQCAQdECI4kcwNSWUVXedxMd/5vPznhLMNoUJCcFcPT2RkTGBHvURH+LDg+eM4MFzRvRytEcPFfWmQ0VMVcYnBBMZ4OV2m+4QF+w+E1ZVISGk7zKCexqtLPFEWhy3JUWyrNxIrdXGEB8Dp4YGohsAgzOxXnruHxLD/T3sze0OL43M/Phw5sc7FrYnB/pyd1IUz+aUtGavw+FM9ruSopg8SP2p9zc0u/Rstqmwt6G5S31nNDZzwZYMTB4UElaB94oqWZAYSbyXvkv7Exw9bM2vpqS240BKf6CoMHeqKAwnEAgEXcHc1MjPb77M/rWrUdXDU+5ih43krJvvJCA8oh+jEwgEAoFAIGiPEMUdEBHgxW2npnLbqX1TZHFrXjVL/swns7yeQG8d542L4YxRURiOgSn/9SYrj3yzm6+2FrazmzlrdDRPzhlNoE/veF4nhfkyOSmYzbnVDq1yJCDUT8/MtL7PCO5pwvU6rol1PcNB0J47k6MY7e/N6/nlrDfWAzA10I+/xoczO8yzwbGBiLcs0+Ci0KgE+HaxwOkLOaWYFMVlkdK2yNjtXG5JjOzS/gRHD+V1fTsjx1FB7ZZl10xPZHJSzxecFQgEgqMdRbHx1TOPUbh/TztBHKDowF6WPPx/XP3Mf/D2F7NxBAKBQCAQDAyEKN6PqKrKw9/s5v11ua0WLbIEK/aVMTTCj4/mTyXCv3czpvsTi03h2sV/sjWvvTCtqLBsZwlZ5fV8+ffj8NL1zuDAI+eN5OJX12G2Ktja3Ly3OHc8dcFotF0UCAWDn9lhgcwOC2x9sGuxdNnX0MSreWV8W2akWVEY4mPg+rhw5kaHoJcH9vFyXkQQ7xVWOBWuVexFPDuLWVH4uqzGY0EcQJYkqiw9X3RTMPiICuyZ69yM5BBOGh7Bb/vLWZvZsZ5CC89ePIbsygY+21RAWZ09Qz0x1IcbTxzCFVPiRYE4wYBDVVX+NDbwTVkNxkOzvi6PDiHaIGbaCAYOWVs2UbB3l8N1qqJQX1XFtp++Z/pFV3RYbzWb2b/ud/b+8RvN9XWExMQxZtbpxA4bKc7JAoFAIBAIeo2BreD0I2V1zfz7p/3MWLSCkQ8t5/QXVvPBuhyaLZ2RfVzz3toc3l+XC9CaJd0iDmdXNPDXDzb32L4GIst2lTjN1LapKnuK6/hyS2Gv7X9kTCBf/G0G01LaF3UcER3A+9dPYfbIqF7bt2DwIElS6wPZb1V1nLbxAJ+XVtOoKChARqOJfxwo4KodWZg9sA7pT+bHhaOTJYcnfo0E0QYdF0QGdbrfBpuCRXUmQTrGqqrCOkUAwNi4QLx7YPDz2cvGceOJQ3jz2kmcPsp+/paxzz4C8NHJzB4RySPf7uHllZmU1ZkYHu3Pvy4Zw8q7TuLKqQlCfBEMOOqsNi7Zlsn5WzN4r6iCr0qreTa7hIlr9/BqXll/hycQtLJn9QokF8kBqqqwa+XPHZbXV1Xy/j23sPyV58nbsZXSzIPs+2M1nzxyLz+/+RLqAL+3EggEAoHgWGTRokVMnjwZf39/IiIimDNnDvv373e5zbvvvtuqr7T8eXn1byKwyBR3QGZ5PZe+to7qRnOrYHugpI6Hvt7NF1sK+d8NU/E1dO+jsykqr63Ocrl+S14N2/JrGBcf1LpcVVXWZVXy8YY8sioaCPbRM2d8LOeMie61jOre4tON+cgSDkVxsE9n/2RjHldOTei1GEbEBPDGNZP4ZlsRRcYmhkf7c+aoaCGMCDrQaFO4YVc2VlVtl4Ha8v811fW8mlfObUmu7UAsisqa6jqqLFZivfRMCfRF7qPjLdnHwMdjh3DdzmyMVhvaQ7u1qhDvpefjMUPw1XT+POKv0eAjyzR24sFVJ0lcGClsKgRgbLLQ1M0B50h/A1GHalH46LW8dtVEMsrq+XF3CY1mK/HBPryzNocVe0uxtfkB7y+p467PdmCyKsJLXDAg+dueXNbV2G28rEfcLz2aWUS0QcccJ+fSSrOV/GYzgVoNSd56cW8j6FUaaqrdCtiNxpp2r1VV5et/P0lNSXHrawBVsV8Tdq74kdDYeCaePafH4xUIBAKBQNB1fvvtNxYsWMDkyZOxWq384x//YPbs2ezZswdfX+c12AICAtqJ5/19fypE8SNQVZW/fbiZmiZLO7G25b87Cmr45/J9PHr+qG7tJ6eygRKj64J2Glli9YHyVlHcpqjc/fl2vtxS2M5uZU1GBa+symDJ/GlE9HKByp6k2NjkVBAH+2de7OYz6g6KovLfXzN47bfMdoJMeuRB/nXJOEbHDV7vaEHPs7SsmjoXftwKsLiwnJsTI9A4ObF/VFzJE5lFVLU53hK89DyTFsfJoX3jsTk9yI+tM0bydVk1W2sb0UgSJ4X4c2pogNO43aGVJa6IDuHdoop2gqMrHhoaQ5BOXIIEdlG8u8wZH4vmiALCQyP8GBoxFIB//7Sfg6V1Ha45La8f/no3s0dEEe5v6HYsAkFPsbe+iV8qa52ul4Dncko4PyKo3QNFXpOJxzKLWFZubLW1Gu7rxX0p0YO6LoZgYBMQFkHR/r2d2qb44H5KMg64bLPx2y8Zf+a5yPLgSv4RCAQCgeBoZvny5e1ev/vuu0RERLB582ZOPPFEp9tJkkRU1MBxZRD2KUewKbeaA6X1rXYmR6Ko8MmmfOpN3fPCddZ/WyTA2qbd66szW+1EjrRbya1s5G//29KtmPqaqAAvZBcanHSoTVdQVZXM8nq25FVTVutYWH96+T6e/+VAhwzFg2X1XPr6Og6U1nVp34Kjkx11Ta2Z1c4oNVupMDs+N3xYVMnCffntBHGA/GYzc3dksbqq7443H43MFdGh/DM9nkVpcZweFthlQbyFWxMjCddp0bjpJt5Lz0vDE7ghbvAXsRX0DGF+BnTuDhw3vL8uh235NQ7XKYrKh+tzXQ7CKqrKF1sKuhWDQNDT/FhhxJUMqAIHGk38WGFsXZbXZOKMzQfaCeIA+xqauWZnNh8WVXQogigQ9ARxw90nDFnNZqpLilpf5+7c6tJyBaChuorq4iKXbQQCgUAgEPQMtbW17f5MJpNH2xmN9vvRkJAQl+3q6+tJTEwkPj6e888/n927d3c75u4gRPEj2JpX7VKoBWi2KN0WTBNCfPB3Y8FiVVTGJwQB9qKUb/2e7bStTVHZnFvNjoKabsXVl1wyKd6lSAFwyeT4Tve7Ym8pZ774O7P+/RsXvrKWqYtW8Jd3N5JVXt/aprCmiTd/d2xfo6hgtik8/7PrzBXBsYXeQ9FY5+AE0mRTeDTDsT++eujv4YzCbgkVzTaFz0uquP9AAQ8fLGRlZS1KHwofkQYd309MY1ZIAG0/gRCdhoWJkXwxdgg/T0pjw7ThXBzl+kIpOLbwNWg5f1xMh0zvzmCyKvz1g81YHczmqG22UN3oOhtdkiQyy+pdthEI+pomRcWTS891u3K4YnsmdVYbT2YVY7TYOhQ+brka3LW/gOG/7+SpzCKqRbFjQQ+h2GxkbFznUduKvJzW/6uK4tG0adXWczWdBAKBQCAQOCc+Pp7AwMDWv0WLFrndRlEUbr/9do477jhGjXI+SJ6ens7ixYv5+uuv+fDDD1EUhRkzZlBQ0H/JSWLu+hF46u2r7cbDO4CXTsPcaYm8sTrToTCskSA6yJuZqfZsyoyyeqoazC77bLFSGRMX1K3Y+oqzRkfzzh/Z7Cw0dvgMNLLEkHBfLpoQ26k+v95WyO1LttFWlVNVWLW/nI05VSxdcBwp4X58va0QCXAmGdoUlZ92l1LbbCHAS9epGARHJ7NCA3ijoNzpehkY4+9NiANLkF8qa11ar6jA3oZm9jU0M9zPu9Oxra+p5/pd2VRZDvuEv15QTrqvFx+OSWktaNlsU2hUFAK1mm5nhjsi1kvP+2NSKDaZOdhgwkuWGB/g63CgQCBoyx2npbNyXzlVDWan52VXKCqU1Dazcn85p41o7+vvpdMgSfZrgTMk6HatEIGgpxnu69XBR9wZq6vquHZHNhtq6zsI4kdSY1N4Oa+Mb8tr+HZCGmF6cewLusfyV58nZ7tnM1a1usNFtmNSh6G4EbwNPr4ERXfueUAgEAgEAkHXyM/PJyDgsLWrweDeXnLBggXs2rWLNWvWuGw3ffp0pk+f3vp6xowZDB8+nNdff53HH3+860F3A5EpfgQnpIa7zV4O8tExLKrr/r8mq40vtxSwu8iIj94+MbatZKSRJHwNWl6/eiLyITHJI7sVSULxoN1AQa+V+eCGqZwzJrpddr4kwaxhESy5cTo+nXhQa7bYeGDpLnvm7REfg01VaTDbePIHu9dheZ2p9bN1hk1VqWnovtet4OjghGA/hvt6OZ3KrgA3JzgusllmtuCJLFxq7vzxltVo4vLtmdQcsmWxqoeLsR1saObsTQf4trSa63Zmk7J6ByPW7GLEml08kVmEsZeyBKMNek4M8WdKkJ8QxAUeERvkzdIFx+Hn1XVxTitLDmdLeek0nJzu3Osf7DOzzhod3eV9CwS9wZnhgYToNB7drNuAtcZ6j+s62IC8JjOPOZnFJBB4SmlWBnt/X+VRW52XVzublfCkFCTJ9RE+6uTT0OpEgopAIBAIBH1BQEBAuz93ovjNN9/Md999x8qVK4mLi+vUvnQ6HePHjycjI6M7IXcLkRpyBOlR/hw/NJR1WVVOhegbjk9Gr+3aeEJZbTOXv7merPIGZMme3daSwaaVJUJ89VwwPpZrZyQRE3Q4Y3RohB8GrYzJ6jzb1KaoTEgM7lJc/UWAl47/XDGB+89u5s/sKlRgQkIQccE+ne7rx90l1DU7F/lsisqv+8oorzMRGeDldgBBI0uE+OldthEMfOqsNn6urKXGYiXR28DMYH+nMz1KTBbeL6rg54parKrK5EBfrosNY4SfN7Ik8b8xKVyyLZPMJhMydiFcc+jf+1OiOSciyGG/kXqdR9mvkfrOP/S9UVCORVVxdGZQgDKLlfl7ctstN1ptvJpXxvIKI99OSCVYFLwUDAB8DVoaulGvQwV0GsfX5gUnD2XV/jKHM4Q0ksSExCAmJw2u66fg6Mcgy7w6IomrdmSBk/N8WzTgNku8LTbgq7IaHk2NFdcBQZcozcpg+asveNx+4tkXoPM6XC9o54ofUd3cIfmHiRokAoFAIBAMNFRV5ZZbbuGrr75i1apVJCcnd7oPm83Gzp07Oeuss3ohQs8Qd8AO+M8VE7jqrfXsKa5rFa41soRNUblwQix/O2lol/pVVZUbP9hMbmUjcLhIZktWs1VR+ftJQ7juuI4Hkye2LjqNxLTkwenVGxngxbljY7rVR15lI1pZalec9EhU1e4nPmdcLP9cvs9pO40scdaoKPzEdPpBi6qqvJhbygu5pTQraqsYFqnX8q/0eE4LC2zX/o/qOq7akY1JUVqFhwONzbxfVMkTqbHcEBdOjJeelVPSWVZh5IdyIw1WG2m+3lwVE0qKj/MR1FNDAwjQytQ6GdSSgeF+Xgzz7Xxh2W/Kqj3ODGyLDchuNPFMdglPp3VuRFcg6A2+2Fzg0uLEHTZF5aR0x+LJxMRgXrtqInd8uo0Gkw2tRkJV7dtMTQnh1bkTPfK1FQj6mpkh/nw/MZV/ZhXzi5uCzJIEYVoNVRabWwG9BYuqktloYlKguN8ReI6i2PjlzZfZ+etP4NFcOBh58mlMv/jydsv2/rHKtbcVcGDdGiaedX4XIxUIBAKBQNAbLFiwgI8++oivv/4af39/SkpKAAgMDMTb257ge8011xAbG9vqS/7YY48xbdo0hg4dSk1NDc8++yy5ubnccMMN/fY+xB2wA0J89SxdcDw/7i5h6dZCqhrNJIX6cvnkeKYkh3T5wXlrfg3b8mtctnl9dRZXT0/qUHDs94PlLrPEASw2lV1FtYPGU7ynCfTReWQzE+StIyrQiwUnD+W/v3acpqGRJLx1Gu44La03whT0Ef/OKeVfOSWtr1uOjDKzlWt3ZvPpuCEcH+wPQJXFytVHCOJAq9j8wMFCRvh6MyPYD70sc35EMOdHeJ5V6qWReWRoLAv35XdYJ2N/nHx0aGyXzi2NLrzK3WEDlhRX8uCQaHw1zoxhukejTWFpaTXLKow02hRG+nlzdUwoqV0YABAc3ewtqXXr/e0MjSwxISHI5fVv9sgoNt5/Kt9tL2Z/aR3eOg2njYhkdGwg2wtqqGowEx3ozfBofyGQCwYUY/x9eGd0CsPX7KTexTnfpsI54UG8V1TZqf4NwuZK0Ek2fPXpIUEcnFfoOYzO4MXpN93a4dxqamhwu21zgyiCLBAIBALBQOPVV18F4KSTTmq3/J133uG6664DIC8vD1k+PJO3urqa+fPnU1JSQnBwMBMnTmTt2rWMGDGir8LugBDFnaDXypw7Nqbb2ctt+f1ARWvGuTOKjc3kVDYwJNyv3fKyOpNH+yir9azd0cgZo6J49Ns9Tj9fSYLhUQEkhfkCsPC0NPy9tLz0awa1bWxXxsYH8tSFo0k54jsQHKbEZOGr0mrKzVaiDTrmRAYR3gXrj96iymLlxdxSh+tU7CL0k5lFLJuUDsCS4iqaFMXpY51Ggtfzy5gR3PVj4sroUHSSxOOZRZSZDx9vSd4Gnk6LaxXoO0uqjxe765s8zgo8kmZFpbDZQppvz4vi2Y0mLtqWQZHJ0pqpv95YzxsF5Tw4JIbTQgPYWdeITpY5PtjPYZFSwbGDTiO7renRQsu1tGU2V3qkH69dNdHtdj56LZdOjm99vXxXCTd/tIX86qbWZcOi/Hns/FFMGaQzrwRHJzpZ4qqYUN7ML3dqkaKTJO5Niea4YH/u3J9PrdW9mUqUXseILhR4Fhy7WM1mNn+31OP2kiwz5tTTHQ42hsTG01hrRFUc38VIskxobLzDdQKBQCAQCPoP1YNMplWrVrV7/fzzz/P888/3UkRdQygQfYhNVT2aYOhI1I3wd1/xFew2JMcqEf5ezDsuibd+z+6wTgJQ4e4z0g8vkyRuPHEI10xP4s/sKhpMVoZE+JEW2TVx8lhAVVWeyirm5bwywJ5Vb1NVHsks5O6kKG5LjBwQGZY/lBuxujhJK8DWuiZymkwkeRtYXVXnMs/JpsLv1d3PVLokKoQLIoJZb6ynwmwl3kvPhACfdp9ZQbOZdwor+LashqZDmdXz4sKYHRrg8LOdFxvGwv0dM9A7g7cTH+buYFVULtueSanJXjy05fNtyb5/PLOIxzOLWtvrJIlrYkJ5eGgMelnUgD4WCfH1bGBtzrgYAr11ZFc0EOCt45wx0Zw6PBJtJ4/jb7cXccvHWztclw+U1nHlm+v5aP40IYwLBgxWRSXGoGu97rZFxn6OfTY9niCdlnMjgjgtNIBlFUZeyCnhQKPJ6TXutqRIl0VoBYIjKc7Yj6nRfYY32EVtb/8AJp1zocP1Y087k/zdO5xuryoKY049o0txCgQCgUAgELhDiOJ9yPj4IJd+1wABXloSQzsWmTwhNZxgHx3VjRaH20kSpIT5Mio2oEdiHazcd+ZwJGDxHzkoiormkMe4v5eWJy8YzcnpER228dJpODFNFPHxhOdySvjvIUEcQGl5MFfh6ewS/LQabojr/8+y0mxFI4HVzeBlpdlKkrfBoyKYzvPIO4dWlpxmhW80NnDZtkxMitKaCfh7dR2rquu4MjqEf6fHdxDGL40K4fvyGn51I+w7QgLSfb2IM/R8lv+PlUbyms0et7eoKosLKygxWXhrVFKnBlcabQrlZguBWg1BItu8y7z88ss8++yzlJSUMHbsWP773/8yZcqUPtt/gJdnx+G+kjqW335it/Z1oKSW+760CzFH/m7sl2mVR77dzQ+3ntCt/QgEPYFVUblhdzY/VtQ6PM8next4IjWWk0MP3wN6aWQuiAxmdlgAN+zKYWVVHdqWAu/Y7bNuS4zkuphQFFVlTXU9K6pqsSgq4wN8ODc8CK9eGDAVDH5sFsfPIo6ITR/B6X+7Hb+QUIfrU6fOYOjkaWRs2uDQO2vEzFNIHDO+y7EKBAKBQCAQuEKoB33IiWnhxAV7U1zT5LAwnizBVdMSMWg72hjotTIPnjOChZ9u77BOOvT34DkjBkSWbn+ikSXuP3sEN544hB93l2BsspAQ4sNpIyLx0vWOZ/Jg4EBDM6/ll/FNWQ1NisJQHy/mxYYxNzoUnQdeohuNDbyQU8IKN0W+/p1dwjUxof2e6RvjpXMriANEHxKDpwX58nt1nVMLEg0wLbB37XQabQpX78ii+Uhf80P/flRcxYQAX66Kaf9gqZUl3h2dwmv5ZTyTVYwVz1GBhUlRvXLeWHVIgPHke2gbz/cVRjbVNjI50Ndt+6JmM//KLuHz0mrMh2binBTiz91JUUzwYHvBYT755BMWLlzIa6+9xtSpU3nhhRc4/fTT2b9/PxERHQcTe4NgH71H7Y6sudEZ8iob+b8vtrM+q8plO0WFPUW17CupZVjUsT3YLOh/3i2qcCqIAxSYzIwL6JhQAeCr0fDRmBQ2Ghv4sqyGGouVBC89V0SHkuxjoLDZzFU7stjb0IxWApBYXFjBgwcLeWtUUpetvQRHL+GJyUiS5Hba9Nm33cOwGa4HFmVZwzm338vGb75gy7JvaKo1AuAbHMKkcy5g4lnnH/PPNm1JSkoiNze33bJFixZx77339lNEAoFAIBAMboQo3odoZIk3rp7E5W+so8Fka53+2lJYbGpyKLfOSnW6/YUT4tDIEk9+v7edx3hcsDePzRnFSQ6yoI9Vwv0NXDUtsb/DGBCsqa5j7o4srKraOhhzoKGZ+w4U8EN5DR+OSXEpYi8trebve3Kdrm9LtdXGhpoGTgjp34fos8IDuWe/TKMTj0oNcHywPzFedhFubnQoz+eUYlFVh6KDDbgxvncz4JeWVVPjwv9VAl7LL2NudMdivzpZ4pbESD4sqiTXg+zsluKejwyN5byIoG7F7QxX9jWu0ErwWUmVW1G8oNnMWZsPUGmxth7XKrC6qo7fq+v435ghzOzn43Aw8dxzzzF//nzmzZsHwGuvvcb333/P4sWL++xh+/SRUdz31U63hTZPSe/ab7HE2MwFr/5BjZMZV44oNjYLUVzQr6iqylv55S7bmBWVT0uquCne8X2gJElMCfJjSlD7wV2TonDJtkxym+z3lNZDsyQAaq025u7I4pdJ6aIwsqAdvkHBpE6dwcE/1zn2ApcktDo9az/9kP1rf2PsqWeSOHaCU3Fbo9Uy7cLLmHzeRRjLSpEkCIyMQpaP3WQWVzz22GPMnz+/9bW/v7jXEQgEAsHRS3BwsMcD5FVVrhOfHCFE8T5mREwAP95xIu+tzWXp1kLqTRYSQ325aloiF02IQ691nWF7/rhYzh4dzZ/ZVVQ0mIkO9GJiQjByNzLnBAMLVVXZmFPN55vzKTY2E+HvxUUTY5meEtrpbJkmm8JfduVgUdR22cctmtOa6npeySvj9qQoh9tXWazcujcPlY4WA86os7kv7NXb+Go0PJEa69BrWwPoZZmHhh4uohth0PHWqCT+sisHRVVbs7M12AXxu5KiOCW0c8JYs02hwmIlQKshwMHsjyPZZGxo3Z8jVCCj0US9TcHfSX8J3nryms0uv6twnZb58eFcFhVCZC/YprQwzt+Hj4s7f1GyqlBqdi9aPnywsJ0g3oINkFW4eU8uW2eMRCvOjW4xm81s3ryZ++67r3WZLMuceuqprFu3zuE2JpMJk+nw4GxtbW234wj21XPB+Fi+3FLotI1Ghiu7OOD52m+Z1DRaXBa7PpIwX8/qeQgEvUWTopLjZrBTBnbUNbls44gfyo1kNTku0K5gr4XzRkE5z6aLQoeC9pwy76+UZmVSW1HWURhXVaxmE9XFhdSUFpOxcT3DTziZM/5+u0uhW6PVEhIT28uRD378/f2JinJ83y4QCASCY4svc5/HS9czz/TNnbBH60teeOGFXu1fiOL9QHSgN/eeOYx7zxzWpe21GpkZQ8N6OCrBQMBsVbh1yVaW7ypBI0vYDvmif7GlgJOHhfPq3ImdsoH5pqwGo4vsYwV4u6CCWxIdF9r6tLjKafa0M1J8BoaIdGVMKD4amSezislvIyhMCPBlUVosI/2827WfHRbIqinpLC6o4KdKu6/qpEAfro8NZ0aw59Yp5WYL/84pZUlxJc3KYUuPO5OimOQi+1lGQpJwO/rgathsbnSo24KgjwyN4aKoniseaFVUfqmsZXmFkSZFYbivF1dEh3JRZDCPZxbRaFOc2tI4QitBpN71hb3cbGFZhdFpvwpQbrGyoqqW08MCO7H3Y5OKigpsNhuRkZHtlkdGRrJv3z6H2yxatIhHH320x2P518VjKas1sSajosM6jQSvzp1IdKC3gy1doygqn27K91gQl4AkUadDMADQSvbj0eWRK4HezQCgSVH4qrSa/xVVkd9sIsKgQ1FVZHB6LrWq9tliQhQXHIlvUDBzFz3Plh++YceK5TTWVNstVaCdN3iLYL7395WEJyYz+VzHBTcFnvP000/z+OOPk5CQwJVXXskdd9yBVise6QUCgUBwdHLttdf2av/iCnqUoCgqG7KrKKltItTXwPQhoehEgaRBxzPL9/Hj7hKAVvGm5d/f9pfz2Ld7eOrC0R73t72u0a2vc7nFSpnZQrSho5/v7oYmZJxnL7dFA4wL8GGYb+cFq95iTmQw50UEsb2uye6j6q1niI/zaeBDfLx4Mi2OJ7u4v1KThTM3H6DUZGn9zFosPVZX1/H+6BRmOck4Pz7Yjw+LK532LQMj/bzxdZF1fk54EDOCKllfU99B5JCByYG+nNuDdinFJjOXb89if0MzmkM2UN8Cz+aU8GxaPG+NSuLqHdlIqA7rKDjCqsLlbkT7nCazW6FdAxxsaBaieC9x3333sXDhwtbXtbW1xMd3XziTZYkPb5jKmoPlPP/zATLK69FrZM4aHcN1xyWRHNY1r/gmi41Gs2ezWFqkxQfOHi68bAX9jl6WOT7Yj7XV9U6vxTYVTnUxm6neamPO1oPsqm9uXVZi9qwCRaNNIbfJRKL3wBjwFgwcvP38Oe7SuRx36Vxyd2zl8ycfdNl+83dfMfGs85E1whalq9x6661MmDCBkJAQ1q5dy3333UdxcTHPPfecw/a9MatLIBAIBIL+JDMzk3feeYfMzExefPFFIiIiWLZsGQkJCYwcObLT/QlR/Chgxd5SHvx6F0U1hx92Qn313H/2cC6cENePkQk6Q22zhQ/X5zr101VU+HRTPnednk6Ir2cF6TwpogmgkxwPoHjJssfZy14aeUBmk8mSxHgnBch6micyi9oJ4i3YAEmFW/bmsm3GSIce7meFBxKl11JutjoUPhRgQYLrugFaWeLDMSk8nlnER8WVmA4NqOglicujQ3h4aEyPFUFVVJUrtmeR0Wg/77QTvVW4c38+n4wdworJ6bxZUM43ZTWYFIUUbwOFJgv1VluH9ykB50UEuf2+fD0Y8FPA5QCC4DBhYWFoNBpKS0vbLS8tLXU6RdtgMGAw9J5IdnxqOMen9pyPv7dOg7dOQ5PFvTAe5mfg8TkjmTU80m1bgaAvuCUh0uksII0E8V56Zoc6HwC8fW9eO0G8M9iAqev3Mi3Ql8dSYxnj3zfXU8HgomDfbmRZg6I4P8c21FRTU1rSLYsUq9lMzo6tNNUZCQiLIH7k6EHvPX7vvffyzDPPuGyzd+9ehg0b1m4wesyYMej1em666SYWLVrk8JrcW7O6BAKBQCDoD3777TfOPPNMjjvuOFavXs2TTz5JREQE27dv5+233+bzzz/vdJ9CFB/krNxXxg3vb+ogWlY2mFn46XYUFS6eKITxwcDG7CpMVtf5r1ZFZW1mBeeMiXHZroVZIQG87qJAlwyM8PMmTO/4VHBaaAAfFDnPXm7hzLBA7kmJJq0PinHta2jis5JqSk0WIg06LokKHhDZ6TUWK1+VVbv0BK+y2FheUeuwuKVelvl47BAu2pZBtcXW+pPWSHbB+bbESM73IMvbRyOzKC2Oe5Oj2F7XhAqM9fcmSNezp/uVVXXsa3AussjAf3JL+Xz8UJ5Nj283YFLYbObOffmsqq5rXeYlS8yLDeMfKTFus3OH+3qR6KV3WVRUAs4IE9YXnqDX65k4cSIrVqxgzpw5ACiKwooVK7j55pv7N7geQpYlLp4Yx0d/5rm0UHn0vJHMnZqAVsy0EgwgTgzx59n0OO7ZXwDYB/1abE9iDXo+GTvE6SB4lcXKdxXGbsew0djAeVsOsnR8KuP6aKBZMIhQ1cPTbFw3bLOJSn11Jaqi4hcS4lbc3vrjd/yx5ANMjQ2ty/xDwzh1/gJSxk/uYuD9z5133sl1113nsk1KSorD5VOnTsVqtZKTk0N6enqH9b01q0sgEAgEgv7g3nvv5YknnmDhwoXtCk2fcsopvPTSS13qU4jigxhVVXnsuz2gOk/kffL7PZw3NsZtAU9B/2Oxeea87Em7EpOF5RVG6qw24gw6ikwWh3YTCnBLovPs41mhAaT5GMhsNDkVe2+MCyNUp+NPYwPhei3BPSy+tmBTVe7Zn8+HxVWtVh0AL+eVcWVUMM8OS3Doi94dmm0K35TXsLqqDpuqMinQl0uiQtoVzmyyKSwtq+bDokqXNjVg94Y96EJIHu7nzdqpw1lSXMW35TU02RRG+XlzXWwYE1z4kTsiUKflxBB/9w27yE8VRpfWPDZgTU09TTYF7yMExlgvPUvGDSGnycSuuib0ssT0ID+nBUSPRJIk7k6O4ua9eY7XA1dGhzq0BBI4ZuHChVx77bVMmjSJKVOm8MILL9DQ0MC8efP6O7Qe468nDeG7HUXUNls7COMSMGd8LNfOSOqX2AQCV+Q2mai3KvwlLoyCZjMWRcVHq+GMsEDODg/E4GIG0NLS6h6JwYbdzu2anVl8PHZIh7ocgmMDVVGQHBxvsekjUNwUWvcJCCQwIgpFUVj/xRJ2/voj9VX2xAvf4BAmnHkek865wKG9ypZl37Dy3Tc6LK+rqmTpM49x0T8eJ3HMuK69qX4mPDyc8PCuzYzatm0bsiwTEeH4Xr63Z3UJBAKBQNCX7Ny5k48++qjD8oiICCoqOtak8gQhig9idhYaya5ocNmmutHC7wfLxTTwQcDImED3xbSA0bFBTtdZFJUHDxbwQVFlayaZDbu/MhzOLNMcWn5fcjTnRwQ77U8jSSwZO4TLtmdysNHUTowG0EoSbxRUoD2UzXzfgQLuSIrkjsRIh9m+NRYrP1XWUmu1keRt4OQQf4+F7H9ml/BhcRVAB3/qj0qqqbDYeG90co94AJsVhf8VVfJUVjF1NgUN9u9laVkNT2UV886oZE4M8aew2cxF2zLIaTJ7lCClqO6tP4J0Wv6aEMFfHVilmBWFnypqyW02E6zVcEZ4ICG9NAjhDpPiWQFWs9JRFG8hydtAUhd9ai+OCqHaYuPRzEIU1X6sKqqKDbgkKpin0ro+PftY5LLLLqO8vJyHHnqIkpISxo0bx/LlyzsU3xzMxAZ58/nfZnD3Z9vZklfTutyglbl2RhL/d3rHLDuBoD9ptincvT+fz0urkQD50EBkoFbDi8MSOCPcfc2E3CbnM2raEqLVUOWiMHcLZWYrszbu55LIYJ4bluCxTZtg8NLcUM+WH75mxy/LaaipRu/tw8iZs5h0zgUEhNvvVRLHjCcoKgZjWUlrcc12SBITzjqffX/8xq/vvIa5qand6obqKn7/6D1yd24jJi0dc1MzwdGxDD9+JpIss+bj9x0Hp6qoksSqD97imn/+96iuA7Fu3To2bNjAySefjL+/P+vWreOOO+7gqquuIjjY+b28QCAQCARHC0FBQRQXF5OcnNxu+datW4mN7drzvxDFBzFltSb3jYCyOs/aCfqX+BAfZqaH8/vBCofT+zWyxOSkYIZG+Dnt494D+XxUXNUqVrY83rYI5NOD/NDLEmm+XlwdE8pQF0UnW4jx0rNy8jB+qaxleYWRZkVBUeGb8hrMhxTylmxhi6ryz+wStJLErYmHxTTl0PJX8sowq2qr+B+l1/LcsAROcVEgDOxFwl7PL3PZ5qfKWp7MLOaBoZ5Zyzjjf0WVPJZRiLFNRn5bmaDRpnD1zix+nZTOTXtyyT8kOHgiEKvAmR6IGI74rqyGu/fnU221tQ5q3HOggL8nRHBPchRyHz8IjvTz5pMS122i9Lp2WfU9zfz4cC6MDOaL0iryms0EabVcEBnkspiqwDk333zzUWOX4owh4X58+ffj2FdSy77iOgxamRlDwwj01vV3aAJBB+7Yl8fXZTWo2K8fLbcGtVYbf9mVzRfjhzItyPk9AcBQH88GHh8eEkO5xcoTWcUetf+8tJoQnZZHU8UA5NFMY62Rjx+8u53YbW5qZNtP37Nn9a9c9ugzhCckIckyc/7vQT599D6aao2oh+4PJVlGVRSGTpqGJEksf+V5F3tTydu5jbxd25FlGUVR+O2DtxgxcxYWkwtPfFWlIi+HyoI8wuITe/DdDywMBgNLlizhkUcewWQykZyczB133NHOHkUgEAgEgqOZyy+/nHvuuYfPPvsMSZJQFIU//viDu+66i2uuuaZLfQpRfBATGeCZ8BMZIKbNDRaeuWgMF76ylmJjE211cVmCcD8D/7pkrNNtc5pM7QTxtqjY7QEk4OOxQzodl1aWOCM8kDPCA1FUlcnr9rhs/3xOCdfHhuF3SBB9IrOYV9qI2i0xlpqtXL0ziy/GdXywz2sysaa6HhsqzTaVZhc+wC28lF/GxdFd9xh/t7CCew8UuGyjAlZV5ansYnbVN7ls2xYZuCAymMQuZEavrKxl/u6c1tctIr1FVXkxtxRVVfnHkO4NBnSWS6KCeSKrCLOTjHEJuCEurNeztkL1Wm6Mb59VX2628ElxFQcam/HVaDg7PJDjgvyO6gwyQecYFhXAsCjhOS8YuBxoaOarshqH61rOuc9ml/DF+KEu+zkjPJD/O1DgcuBWA5wbGcxPnfAeV4F3Ciu4Iymyx2tWCAYOK999w2H2t6oomJub+P7Ff3Ltv15GkiRCY+O59l8vs3PFj+xdswpTYwMhMXGMPe1Mooem8+Ytf/Fsp6raasViNZvZ8fMykI6YquiARmMNHMWi+IQJE1i/fn1/hyEQCAQCQb/x1FNPsWDBAuLj47HZbIwYMQKbzcaVV17JAw880KU+xV3sIGZUbABDwn3Jqmhwep8Y4qPnhNSu+dQJ+p7IAC++u+V43luXw5I/8ymvNxHiq+fyyfFcNyOJUD/ngurXpTWtdimOULB7PFeYrU4La3rC1tpGCk0Wl22aFJVfKmuZExlMqcniNMtbxf6MsyirmK8npAL2DLiF+/L4vtzoUfZ1W2Tgw6JKnkjtfHHZRpvCE5lFHrW1qbCqqs6lp3YLLVndZ4cH8e/0rhU3evJQ5p6zXb2SX8aN8RHd+l47S5BOy0vDE/nr7hyQDlvatMjOxwX5MT++7889HxZVcu+BfJRDNb8kyS7cTArw4f0xKf1mNyMQCASd4duymtbrhyNswB819VSarYS6OPeH63VcFhXCkpIqp23mx4fjo5E5LTQAb1miyYNBaACzqvJsdgn/SInGtxdnBQn6h8ZaI/vX/e7YDgW7MF5ZkEfR/r3EDhsB2H3Dp15wKVMvuLRd2w1ffdq9YNwI4gB+IaHd24dAIBAIBIIBjV6v58033+TBBx9k165d1NfXM378eFJTU7vcp1AH+pgGk5W6ZitBPjq8dN17gJAkiYfPHcl17/wJOBbMHjp3BDo3HsYtKIrKuqxK8qoaCfTWcVJ6OD59KLIJ7AT76rn91DRuPzWtU9tVW63IkoTNzYOD0do9UbzGA89RqU27b8trXIrbCrDB2ECxyUy4TseV2zPZWtvYaUG8pa8DLgpZuuKnCiP1HhY7Bdx+zi1cHRPKtbFhDO9iUbKsRpPbjHSbCj+U13BNbFiX9tFVzo0IIsaQykt5ZfxYYUQB4rz0/CU2jOvjwtC7KP7WG/xSWctd+/PbLzz0NW2tbWTezmyWjh8qMsYFAsGAp9pqdSqIt6XeZiPUze3802lxVFis/FJZ22HdRZHBPJASQ5NNodhs4S9x4byU59qurC1vF1bwcXEV/xgSzQ1xIgnjaKIiL9epIN6KJFGandEqijvsJz+XvWtWue+ri0iSROSQVEJiOp8QIRAIBAKBYPCRkJBAfLw94bC7z/ZC8ewj9hTV8uKKA/y8pxRFtRf2unBCLLfOSiU6sGtiGcCJaeEsvm4yD329m7yqxtblUQEG/nH2CM4be9hSwWJTqG2y4GvQdhDkVx8o594vd1BUc1hQ9NFruG1WKjeemIIkSdgUFVVV0Xoosgv6lkRvA1Y3Qq1OkojUd887N9Fb77aNCiR62dtVmq2tRRBdUWm2sqW2kU21jS7buUIG/DVdG2wqN1tbC5G6QwOkeBvY40aAD9FpeDw1rkuFyAqazXxYVMnKqo4ixpHIElRbPJFPep6Jgb68MzoZm6piUVS8+vD8kNnYzDuFFayuqkMFjBab02K1NuyDL5trG5kU6NtnMQoEAkFXsHiQrS1hzwR3h5dG5oPRyfxpbOCzkmrKLRaiDXoujwphiI+BxzKL+F9xJQ2HBobDdBpqrDa3M6FaaFQUHjhYiEaSmNfHg7OC3kOj8+B+UVXZ/vMywhOSiB855ohVKn988iEbvvrEPm2rF5AkCUnWcNI183ulf4FAIBAIBAOLt99+m+eff56DBw8CkJqayu23384NN9zQpf6EKN4HbMqpYu5bG7AqaqtPtMmq8OmmAn7eU8pXfz+O+BCfQ8ttlNWaMOhkIvw98ww/KT2C3+4OZ0teNcXGZkJ9DUxJDkFzSIgrq2vm5V8z+GxzAY1mGxpZ4sxRUdxySirpUf6sz6pk3rsbO4iWjWYbi5btY39JHYU1TfyZbferHhkTwA0nJDNnXKzIuBxAXBARxMMHC1uLXx6JBpgTEdTq891Vhvp4MSnAhy21jQ4FZAl7gcUTQ/wBe+awO7FeBqIMev6VU+qxMO0IBXv2cleINOg83q8NuCs5igcOFlJqsjjM5pOBebFhXRLEvyip4tZ9eaA6nzrfLh4V4j0YrOhNNJKERtN354OlpdUs2JsLHLZucYdWgh/KjUIUFwgEAx531004XOPCEyRJYmqQH1Pb1O9osNo4b+tB9tU3t7vWVFpsqECoVkOV1ebxzK1nsoq5MjoEQx/PEhL0DlFDhuLl509zfZ3LdlVFBXz62D844+93MHLmrNblu1b9bBfEwSP7E3do9AY0Gg3mpsPJE6Hxicz6y9+ITR/e7f4FAoFAIBAMbB566CGee+45brnlFqZPnw7AunXruOOOO8jLy+Oxxx7rdJ9CFO9lFEXl9k+2YbEpHJn0Y1NUqhstPPLtbl68fDz/XXGQjzbkUWeyAjAqJoBbZ6Uye2SU2/1IksTExJAOy4uNTVzw8lrK603YDgVgU1SW7Srh5z2lfDR/Kk8v24eqqk7vV7/cWogsHc6+3FNcyx2fbGdTTjVPzBklhPEBQpBOy6Opsdx3oKBDtqzm0Pp7UqJ7ZF+L0uI4b8tBzIra7kFaxi6K/2tYPJpDx8V5EUHcf7DAaaFMjQSnhQYSptdSbrZ0WRDXSJDsbeCs8MAubX9aaAB+GtkjC5WrokM4MyyQeC89F23LoMGqtH4OLaL+icH+3JYY2ek4ttU2csvevE59Dv4amTPDuva+W9ha28hbBeWtWdfHBfsxPy58QArIGY3NLNib67EY3pbmXpq+LRAIBD2JLEkeDRKbPfT/dsRr+eXsrW/usI+WHiutNkJ0GowWm0cDtDVWG79V1TG7m9cjwcBAo9Ux6dwLWfPxe64bHnqA+On1/5A8biI+gUGoqtp9H/EjsJlN2ID4UWMZf/rZBIRHEpGUIp5DBAKBQCA4Rnj11Vd58803ueKKK1qXnXfeeYwZM4ZbbrmlS6K4SOXoZdZlVVJQ3dRBEG/Bpqis2FvGha/8wZu/Z7UK4mAXn2/8YDPvr8vp8v4f+WZ3O0G87X4tNoW//28L2/JrnMbXQtv1LeL5/zbksWKv576Tgt5nXmwYr41IJKlN1rAMzA4LZNnEVOK8eiabeLS/D99NTOO4YL92y8cF+PDpuCHMCg1oXeav1fDI0FiH/WgAH1nm/kNifbyXHlfJxhIQZ9AResj+RytJaA+1H+nrzefjhnbZx9pbI/OokzhbSPLW8+KwBJ5Nj0eSJEb7+7Bq8jD+lhBBjEFHgEZmjL83LwyL58MxKV2K5fX8Mo9nGbc0W5QWh3c3bEs+KKrgrM0HWFpWTbnFSoXFynflNZyz5SBvFZS73V5VVXbXN7G6qo6Mxq55uneGdwsrurSdVYXhfp7NwBEIBIL+ZJy/j1tBPNqgI6SL9WlUVeXdwgqX+5CBiyODuS42DL2HF6b+svIS9A5TzruIsbPP8qitqijsXPkzALk7tmIsLemVmPJ3bUfv5UNk8hAhiAsEAoFAcAxhsViYNGlSh+UTJ07EarU62MI9IlO8lzlYWockuZ81eLCsvkObFiH60W/2cMbIKCICOifmlNU1t3qYO0JRobTW1Kk+26KRJd5bl8OpIzqfDXusYrUp/LK3lN8OlGO1qYyJD2LOuBj8vbrn892WOZHBnB8RxL6GZuptColeeiIMPdd/CyP9vPl03FCKms0UmyyE6rUkeRsctr0uNgx/jczT2SXkN5tbl08L8uOptDhSfe3H9pXRoSwtq3G535viI7g2NpQfyo1srWtEL0mcEhrAtEDfbj8czY0JRSdLPJFZRJn58Ek1xUvPk2lxnNxG7G8hxkvPA0NieGBITId1XeGXylqPM6CH+hi4PyWGM7qYHQ+wt76Ju/cXAO1tSFr+/8DBQiYF+DIuwMdpvI9kFJLRePhcMt7fhydSY5nYhSxzVVWxqKrLAYXfquo6nSUuAd6yzIURwZ2OSSAQCPqaOZFBPJJRSL1NcWhfIgE3xIUjd/G616golFvcPzyUm608mRaHqqosLqp02z6uB+9nBP2PJMuc+pe/M+LEU/j4gbvcNJaoyMuhsiCPb/71ZC8GJbHj1+UkjhnXe/sQCAQCgUAw4Lj66qt59dVXee6559otf+ONN5g7d26X+hSieC/jo9d6ZKPnqo2KymebC1hw8tBO7TurvMFtBrgs4baNM2yKyq5CY9c2PgbJqWjg6rc3kF/dhFaWUIHPNhfw9A97eeWqicxMC++xfUmSxHC/rhdw7QwxXnpiPMhAvygqhAsig9lR10Sd1UaCt57EI0T0E4L9OCsskGUVxg4igAZI8/XiypgQ9LLMnMhg5kQGs7+hmS21DRQ0mzkh2J+obg4AXBoVwoURwaw31lNpsRJv0DM+wKfPspE8EXtH+Xnz0ogE0n28uhXXV6XV3LUv32UbDfBOYTkvBiR2WPdDeQ1/2ZXTYfn2ukbmbM3gq/FDPbZfyW0y8XJeGZ+VVNOkKITqtFwTE8pN8eEE6dpfqjp7ymrJo3xpRAK+3fTUFwgEgr7AV6PhrVHJXLUjCwW19drQcsY/JcSfG+PCMSkK35cb+aasmhqLjTRfL66KCWWMv+OBzBa8ZBmN5PqaI2H3LD9+w163GeAS9hoi04P8XLYTDE6iUlJxl+UjIaHVG1j53ltYLGan7bqNqlJTXNR7/QsEAoFAIBgwLFy4sPX/kiTx1ltv8dNPPzFt2jQANmzYQF5eHtdcc02X+heieC9z8rAINLLUwb6kM0hAZll9p7fz9mBKrapCSpgvuZUNXfLnNQiBySOazDaueHM9ZXX2bFprm+Oh0WLjhvc28sOtJ5Aa6d9fIfYJsiQ5zTgG+0nu9ZFJPJ1dzDsFFTQe8n/WSnBBRDCPp8biq7EfcwXNZm7ek8t6Y8Ph/oELIoP5Z1pct8RPrSxxfHD/fBfjAnzYUFPv1L9Vg10MGebbvUGPRVnFvJhb6radDVhb0/H8Y1VU7jmUYX7kqUMBUFXuP1jAj5PS3e5j1yERvUlRWs9DlRYrL+aWsrSsmm8mpBKuPzzYcXywP9lNJqfnLAnQSxImVUUCTgkN4NbESCYPQH90gUAgcMbMEH9+mZzO6/llfFtWQ7Oikupj4Pq4cC6PCqHCYuXibRlkNJpa/cc31jbwflElf4+P4MEh0U4HTjWSxDnhQXxXXuP0XGoDllcYsamuByNb6on8My2uy5nrgoGNrNGQPG4SOds3ozqpzaEoNmKHDefHV1/s9XiMZaVsXf4tI06chcHH9QCQQCAQCASCwcvWrVvbvZ44cSIAmZmZAISFhREWFsbu3bu71L8QxXuZcH8Dc6ck8MGGXKfJFUcWRezYQMLX0PmvalRsIJH+BkrrnFukSBI8fO4IbvxgM6qDYqCu0MgSZ4xyXQS00Wzlk435fPxnHiXGZkL9DFwyKY65UxIJ9Dl2pth+s72QYqNjr2VVtWfrv70mm6cvGtPHkQ08dLLEg0NiWJgYyda6Rqyqyig/H8L0h38DlWYr5245SJnZ0m5bBfiytJqiZhOfj09tLfY5mJgfF+ZQhG5BBa6KCe3WPvKaTB4J4i3IdPwcV1XXuZx6rwDb65rY19DkUsBXVZWbdufSZFM6DAQoQF6TmYcPFvLKyKTW5fNiw3jfja/49xNTiffS46WRMXTRZ14gEAj6m3RfL54blsBzwxLaLVdVlWt3ZpF9yLqqRaZsEbhfyS8jxcfg8npxa2IkP5QbUVCd3odaPLgvHOnnzcNDY/ptMFnQN0yZczE52zY5XCfJMiExcQRG9kxBd3eYGhv49Z3X2bD0My57eBHB0a5rwggEAoFA0Blsio0/iv7gx5wfqTPXkRiQyAWpF5ASmNLfoR1zrFy5slf7F0pBH/DguSO4cLz9Zk0jS2hlCVmyW5fceVoap46IRCM7F+9sisqZo12Lz47QyBK3zEp1ul6W4JJJ8cxMj+DTm6YzKra9L3GEvwEfvQZHoUmSPZv22hlJTvs3Nlq46JW1PPbtHg6W1lPbbCW7ooF//bifs/7zO8XGpk6/p8HKT7tLXRZPtCkqy3b1TkGiwYqvVsPxwf6cFBLQThAHeKewghKTxWF2mwqsMzbyfRtvclVV2VrbyLuFFXxUVElhs+tpvTZV5acKI/cfKODeAwV8VlJFs81dybOe4YywQGYGO59+HqjVdKuoJsBjmZ5PO9Zgz7Q+EnefYQsFzRaX69fVNJDZZHKaGW8Dvi6voaKNx3u6rxcvDk9AhnaFWTWSfZDx38PiGeXvQ6BOKwRxgUBwVPKnsYHtdU1Oz50S8N/cUlQXdhcj/bx5f3Ryt2MJ12sxWm3tZsEJjj7iho3kzFvuQqPVIkkSkiwjH5q9FxITx0X3P4aPv+c1TiRJQu/dvSzvRmMNXz79CIoiCrwKBAKBoGcwmoxctewqFqxYwPdZ37MyfyUf7PmA85eez3+3/tflvZVg8CEyxfsAnUbm35eO428nDeHrbUVUNZiJDfbmwvFxRAV6sT2/hl/3lTnMGNfIEmPjApme0rXM0LlTE6ioN/HiioNI2O0rVOwi7Fmjo3ns/JEAjI0P4pubj+dAaR15lY0E+egYnxDM3uJarl38J5UNZjSSPT5VtVuzvH71RJLDnNsRPPzNLg6U1ne0VlChpLaZ25ds45ObpnfpfQ02Gs02t97yJqu4ofeUJcWVbn2lH8oo5LzIYDIam/nb7lx21je1/sYk7HYszw6La7VjaSG70cQVOzLJaTKjPSS4vlsID2cU8u6oZKb0sl9qnU1hvYtM8VqbjX9ml/BsenyX97Gr3vMBKUmC62PDOiwP0Xl2+QhxY+O0u76pddq/M2wqHGhoJkx/+LO/JCqEUX7evFNYwaqqOgCOD/bjL3HhjOwjP32BQCDoL1ZV1aGVwOrkYqgCuc1m8prNHep3tCVQp+l0nQZHsfxaVcfkAB8+GjsEf2Gtd9Qy/LiZJI0Zz+5Vv1Cel4NWp2fI5KkkjZ2ALGtQg1VC4xKoLMx3XTAJe8KCuamxW/GoikJNSTE527aQMmFyt/oSCAQCgQDgzlV3srdyLwA21dbu3zd2vEGsXywXpl7Yb/Ed62zatIlPP/2UvLw8zOb2iXpffvllp/sTongfMjTCnztnd/TXHRsfxJvXTOTWj7dRb7KiPaQ+WxWVSYnBvH71xC4X05MkidtPTePSSfF8vrmAgupGgn31nD82lhExHbM/0yL9SWvjaz0qNpA/7j2Fb7YX8UdGBbZDMV04MY4AL+f2J+V1Jr7dUYzNyQ2xTVHZkF3FgdK6dvs7WhkeHcCfOVVOveVlCdIijv7PoacoN7vOPgYoMVv501jPdTuzMR4qENby6avA0rJqyi0WPh07pPX31WC1ceG2DMpM9v7big01FhuXbc9i1ZR0lwJDd1laWo3ZxXOkTYXPSqp4ZGhMB0HfU7QO7FAcIQOvjkgi1derw7pZoQH4amQanGTQS0CCl55xboq96Q8VnXWHl4MpK8P9vPlnNwYHBAKBYLBi9TBLyV29mKYemAXV0sOW2kYW7svjzVHdzz4XDFy8/QOYdK5jMUCSJE648jqW/vOxPotH1mjI27VdiOJHIRZTMxmbNlBfVYlvUDBDJ09D7yUSHwQCQe+xt3IvG0o2uGzz5o43uWDoBV3W6ARdZ8mSJVxzzTWcfvrp/PTTT8yePZsDBw5QWlrKBRdc0KU+hSjugoyyej7blE9+dSOB3nrOHxfD1OSQXjn4TxkWycb7T+XbHUXsL6nDSydz2ogoxsYF9sj+YoK8udWFlYorvHQaLp0Uz6WTPBefdhUZPSouujWv+pgQxa+cmsA7f2Q7Xa+ouLSiEbQnRK+l2OTcz7qFf2aVYLTYHE4vV4Dfq+tZU13PCSH2Y/CL0mqKTY4FdwUwKwqLCyp4NLX3vCszm0xoJQmLC8GjWVEpM1lJ9umaKH5WeCD/yStz2UYrwR9ThpHo01EQB/DRyNybHM2DGYUO16vAQ0Nj3BZdc2TNciShOi2j3YjrAoFAcCwxPsDHaZZ4C0FaDXEuEhgAhvp4uZ2t4yk24LtyIwXNZuK89D3Qo2AwMmTiFM6+9W5+fvPlbmeCe4qYyn70sf3nZfz24dtYmpuRZBlVUdAaDJxwxbVMOPO8/g5PIBAcpawuWI1G0rRmhjuioL6AvLo8EgMS+zAyAcBTTz3F888/z4IFC/D39+fFF18kOTmZm266iejortU1EWarDlBVlUXL9nLqc7/x1ppslu0q4dNN+Vz+xnquemsDDR6IcV3BW28Xnx88ZwR3nz6McfFBg3b0ydMCh5pjxO93aIQf9501DKCdR7t06O/MUVHMGS+KBHnKaaHuPStlYHNtg1O/VbB7UH9WWtX6+tvyGpc51DbsGea9SYBGg+LBw52ftuu/nTuSItG6+Y0uiI9wKoirqkq52cK54YE8MiQGn0O/45Yeg7UaXhmRyNnhQW5jiffSMyciyOXF6OaECHQu6i4IBALBscbs0ECi9Fqn504Ze1FivZv7rEiDjjPCAukpwxMVWFNd10O9CQYrw46byV9fex+tofdm1rWg2GzEpg/v9f0I+o5dq37hl7dextLcDNhtcgCsJhMr332DbT/90J/hCQSCoxiLYkHyYFa12eZZfS1Bz5KZmcnZZ58NgF6vp6GhAUmSuOOOO3jjjTe61KfIFHfAe2tzeP23LIDWbOcWG5B1WZXc9dl2Xr1qIgD1JitfbC7g880FVNSbiA/x4Yop8ZwzJgZdN4vhDWbGJwRh0MqYrM5zjyQJpg/pmlf6YOTGE4eQHObH679lsinXLqzGh/hw/XFJXD09qV2x1SazjQ3ZlTSZbaRG+jM0ond9rAcbtyRE8H5Rpcs2CtDkZraCTaVdAccGm+LWyqMnppo7Y19Dk72AqIs2MjA50JdwvevsP1d4azR8NjaFi7dnOpxaf1poAPemdBxpVVWVj0uqeDm3jMwmEwAxBh13JEUQa9BTZbURY9BxamiAWyGmLf8aFk+1xcaqartHrk21D1hYVbgxLpy/xod3+b0KBALB0YhWlnhndAqXbMugyaa0Xjda7iSmB/lxe1KkR309kRrL1tpGysyurz+e4s6yRXD0UJqdyc4Vy6ksyEfv40P69BNIm3Y8Wp0OnZcX408/h03ffdUqavY0kizjExDEkEnTeqV/Qd9iLCuhoaaG1R8udtluzZL3GXXyaWh1Xb8XFggEAkcMDx2OVXWdBOut9SbOP66PIhK0JTg4mLo6e/JFbGwsu3btYvTo0dTU1NDY2LXZaUIUPwKrTeGVVZlO1ysqLN9VQm5lA946DZe+vo7cSvuHrwKltc38mV3Fkj/zeXfeFLz1x2axIX8vHXOnJvLu2mwc6ZKyBGeMiiY26NjyhTttRCSnjYikyWzDqij4GbTtZgMoisorqzJ47bcs6tvMSJicFMzTF41hSLgQxwHivQ3MiQji67IahyK2Bkj2MVBvtVFidn5R00i0m+I93NeL7XWNTh/oZSDdt+ePWZOicPvePL4qq0Ej4bDoLhxefndyVLf3OT3Ynz3HjeaprCKWVxgxKypJ3nruSYnmpBDHliaPZBTxekF5u7HzIpOFp7JKOC88iFdHJrq1S3GEr0bDx2NTWG9s4MvSaqosVuK89FwZHUq6Az9zwbFFy+Dz0m2FGBstpIT7MXdqAielhw/a2VQCQU8wPsCHXyen81ZBBV+WVlNvs5HsbWBebBiXR4d4PDgZ46Xnx0lpvJBbypLiKhoVBY0EBkmi0QMrvCOZECDsro52VFXl94/fY+PXnyPJGlTFBpJE1uY/Wff5x1z60FP4h4Yx+byLOLDhD2rLyxwK4yFx8VQV5HcpBkmW0Rm8uOCeh9BoxSPtYCZj0wZWvf8mxtISj9qbGurJ27lN+MgLBIIeZ2bcTMK9w6lsqkRxYC4nSzIXpV6Et/bY0rEGCieeeCI///wzo0eP5pJLLuG2227j119/5eeff2bWrFld6lNSB7AJW21tLYGBgRiNRgIC3PvO9gS7Co2c8981LttIEjx8zgiW7y5hY061Q+9sWYKrpyXy6PmjeivUAY/JauOvH25m5b5yNLKETVGRJfvAwviEIN6/fgr+brwujzUe/24Pb6/p6D2ukSX8DFq+u+V44kPEwyZAtcXK+VsyyGhsbne50gB+Wg1Lxw9lWYWRf2WXuPRKXTYxjfGHHuC31zVy+qYDLvf76ohELogM7nb8bblrXz7/K650mqWuwW7d4qeReW5YAudFBPXo/j1ho7GBc7ccdNnmzZFJnNsPsQ0m+uO61hf01vsqqG7kstfXU1TTBNgHhVquJ+eMieaFy8ahPYZnZQkEPY1FUTFabfhpZFZV1TFvV7ZHxZBbmBboy9IJXathIxg87Fz5Ez+99h+H6yRZQ1hCIlc//SKSJNForOG3D95m39rVKDb7XAT/0DAmnj2H3z5c3OUs8qSxE5j911vxDwnr8vtwhrhWO6e5vp7dv62gLDsDWasjZfwkhkyaitzJ4u/leTlsXfYte9esxGruvA3BGX+/g5EzuyaACAQCgSu2lW1j/k/zsSiWdt7iMjLpIem8c8Y7+Op8Peqrt64nLf0+ccFsvHpo1kyzxcIDX/00oK99VVVVNDc3ExMTg6Io/POf/2Tt2rWkpqbywAMPEBzceZ1GDKsfgSu7jxZkJAqqm1ifVeW0jaLCko353Hl6OgHHqPBr0Gp4+5rJrD5Yzqcb88mvbiIywMDFE+M4dXikEDKOILeywaEgDnYbn3qTlf/+epB/Xjy2jyMbmATrtPwwMZW3Cyp4r6iCYpOFAK2GS6OCuTE+gngvPTEGHZ+XVJPbZHI4JfyyqOBWQRxgrL8PtydG8kJuaYfCYxJwdnhgjwvSJSYLH7sQxAG8NTKPDY1hTmQIPv30u3m/sALtIUsTR2iAdwrLhSgu6DFUVeXG9zdTUtvc7vfRMhD9/Y5ihkX5c/MpQoATCHoKnSwRprc/HpwRHsgbI5P4x4ECyi3u6+kYZImXRoiiU0c7qqry59LPna9XbJTnZLFr5U9EpqQSEhvPmTffyUnX3UhNcRFavZ6w+EQyt2zslq1KTWkJfsHHjg3jQODgxnX88J9n7SK2JIEksWvlTwRFRXPRPx4nKNKzmYx7f1/Jspef61aB1MBwz+yhBAKBoLOMixjHp+d+ynu73+P7rO9ptjUT7RvNZemXccWwK/DRiSTF/iIkJKT1/7Isc++99wLQ2NjItm3bmDFjRqf7FKL4EQwJ90WrkbC6MES0qSoWRXFqcdCCyaqwq9DIjCE9n8EwWJBliZPSIzgpPaK/Q+lVMsrqyK1sJMhHx7j44Hb+4J7yxZZCNJLU6l9/JDZFZenWIh6fMwqDduDb8jTbFGyo+Mhyr1kc+Gk13JYUyW1JkaiqiiRJWBSVVVW1rKisJUSn5ZOxQ3gis4jvymtahXF/jcxN8RHc4cBv9Z7kKFJ9DLyUV8beBnuBnziDjvnx4dwQF+5xEVlP+anC6DKTHaDepjDS36ffBHGAPfVNTgVxsGey7zv0eQkEPcGm3Gr2FNc6Xa8Ci9fkcNPMIcd0DQ+BoKcwKwrLKowsLzfSqCgM9/XmyugQZob48Xlpjdvtn0+Pb2dJJjg6qausoKakyG27n17/LwAGX1/Gn3Eu0y68nOjU9Nb1qq17DvY1JUWYmxox+HiWrSfoHqVZGXzz76eg5TlFVVv/X1NawudP3M91z73m1ue7qqiQH15+7nA/nUSSJALCI4kdNqJL2wsEAoEnJAcm88iMR3hkxiMoqoIsiWeNgczBgwc54YQTsHXh3kKI4kcQ5KPn/LExLN1W5NQWJTbIm6Eeejt7UrlWMHjZWWDkwa93sS2/pnVZVKAX/3d6OhdO6FzxhbLaZiQ3Iy1mm0Jtk5Vw/4Eriv9UYeTlvDI2GBsASPE2cGN8OFfHhPa4oNwWSZL4vryGe/YXUGGxtg5a+Wlk7kmO5vHUGPY2mNBJEuMDfPB2IqJJksRFUSFcGBlMtdWGTVUJ02l7TdgvNlk8mpre4MEslt7ET6txOxDo28mpswKBK9ZnVrZapTijqtFMVnkD6VH+fRiZQHD0UdBs5tJtmWQ1mVotu36pqOXF3FKPrlHnhQcxp4etxQQDE1Xp3AOnqaGB9V9+QllOFuffdT+ybL9XiEge0u1YpE4U9RZ0j1Xvv+lcyFZVjGWlHNzwB8OPP8llP7+++1q3BHEkiVPnLxDfvUAg6DOEIH50I0RxB9x/9gi25NWQW9nQrkikRpYwaGVenjsBH73G7UOCl05mdFxgr8Yq6D92Fxm55PW1mI8QK0uMzSz8dDtNFhtzp3o+jTjc3+D2mNJpJPy9Bu7P9tW8Mh7NLKLtZSO7ycR9BwpYV1PPqyO6VojRE36uMHLDrpzW1y2fZb1N4cGMQlRUboz3fMaCJEmE6Lr3WauqyqbaRr4orabaYiXeS88V0SEM8bEXj8xpMvF2QbnbfmSgxmplfU09o/y88evDmQI2VWVNdT0xXjowOm+nAS4Q1imCHsTTR2a1U47HAsHApdhkZrOxEUmCyQG+RBj6xn7PpqpcsT2T3CaT/XXLcg+3nxHkyyu9eH0XDCz8QsLw9g+gqc75TJ4OqCpZm/8kc+MGUqfapzYHRkSSPH4yOds3d8lGJTAyGp3e0OntBJ3HYmqmYO9ut+0yNm1wKYo31hrJ3b61y3FEpAxl5lXXEz9idJf7EAgEAoGgLWLIwwEhvnqWLjiOm08eSqivfRqol1bm0klxfH/rCYyJC2JohD/HDw11apMhASlhfrz9ezYZZfV9GL2gr3jqh71YrCrOkhif+G4vDSb3HpwtzBkf6zIjUiNLnDc2Bi/dwMzGPdjQzKOZ9um0bR9t1EN/X5fV8FVpda/sW1VVHskoat2fI57JLqGhm1N1O0OjTeHqnVmcu+UgHxZV8G1ZDa/ml3Hchn08llGEqqrcs7+ABptnD4LX78phztYMRv+xi4cOFtLs4XbdYXm5kYlrd3PZ9ky+Kq1xWQjUWyNzXeyxaxUl6HkmJ4W4PCcCBHrrSAnzbOaWQDBQqbFYuXFXDhPX7uGG3Tn8ZVcO49fu5uY9udRbe/+69WtlLQcbHdfe8ASDLKPtgm2cYHCi0WoZd/o5nZ5BJ8ky239Z1m7Z7JtuwT80DLows9ZYWswbC+ZRVVTQ6W0FnePA+j88ald0YC+rP3qX8tyONZIspmaWPHxPp/ftFxrGJQ89xbznX+eqp54XgrhAIBAIepSBm3LazwR661g4O52Fs9MxWW3oNR19kZ+/bDyXv7GOzPIGJMk+E6zFXkAFDpTWsr+0jud/OcD542L458Vj2nlBGxstFNQ04mfQkhDi06H/6gYzZptCqK9eFKUcYBQbm/gjo9JlmyaLjeW7Srhoomc2KkPC/bhqagIfbsjrsE4jS3jrNAO6oNwHRZVoJHBmxy8DiwsruCgqxHGDbrC7vonMQxluzmiwKfxcUevR9O5Sk4VPS6ooNFkI0Wm4KDK4NbvbU/5vfz6/VtYBbYpTHvr3lfwyvGSJ36rrPOqrrfzdpKi8VVDO3oYmPh4zpNeEiF8qa5m3y3HhV7B/n/KhwpshOi3vj0khRnjJCnqQaSkhpEb4kVXR4FAclyS4dkYSeq24PgoGL002hYu2ZbCvvrndud4GfFVaTXaTia/GD0Xfi1YBv1TWuiyk7AoJ0IsM8WOOKXMuoXD/HvJ2bqP1IcgNqqJQkZ/bbllTXS1avQHP5wa1p76qkiUP/R/zXngdbz9ho9VbHPm9OaO+spJN337Jxq8/J27EaE6cex2RKakUHdjLlh++oboLAxgzr7qehJFjOr2dQCAQCI4evvnmG5frs7Od6xbu6HVR/OWXX+bZZ5+lpKSEsWPH8t///pcpU6b09m57FGdFDcP9DXx3ywl8va2QzzYXkFfZSHn9YWHO7qphv8n7dnsROlniX5eOo8TYzNPL9vLdjmKshx70h0X5s/C0NGaPjOLnPaW89OtBthfYvQpCfPRcNT2Rv580ZMBmCR9rlBjdFxTUyBLFxqZO9fvo+aMI9NHx1u/ZmNrYsgyL8uffl44lOWzgFhPaWdfoVBAHu7C7t753CjFWWtznt0lAhcV15r6qqryYW8qz2SWogEYCRYXnckq5IiqEf6bHo/NAhC5oNvNFabXLR7y3PLBNcYYC/F5dzw8VRs7rBcsSVVV5+GCh/f9O2mgkmBsdyrQgP84KD+xVwUZwbCJJEm9cM4nLXl9HRb2pdVZOy+DbyekR3HLK0P4NUiDoJl+UVrPbybXRBmyubeTbsppeGVBuwdJFf1+wXyNmhwmrwGMBVVFAkpAkCa1Ox4X3PsLu335h248/UF1ciM1qcWuD0lBdxQf33sas6/+GT2AQSx7+PyzN3bs3bKqrZdevPzH5vIu61Y/AOVq9wcPBDxX10MW6YM9OPrr/TmStFsXq+czZtpxw5XUMm3Fil7YVCAQCwdHDnDlz3Lbpag24XhXFP/nkExYuXMhrr73G1KlTeeGFFzj99NPZv38/ERGee/sOZLz1Gi6fksBlk+M57fnVVNSbHIpIigpfbCnkqmmJ/PXDLZTXm9plvu0vrePGDzZz3thovtleTFvdrarRzEu/HmRtRgUf3jBVCOMDgDA/9x6GiqIS6kG7tmhkibtPH8ZfZw7hj4wKmiw2UiP8GRU78B84vTWy20KMhl7Kao7xwHdVBWLdtHu/qJKns0taX7dNTl1SUoWvRuaJNPeZ/ysq3fts1nbT/kQGPiiq6BVRfJcHmfcWFY4P9ucc4SMu6EWSw3z56Y4TWbIxn6+2FGJsspAc5stV0xI5Y1SUUwszgWCw8L+iSpfXThn4uLiqV0Xx0f4+fFxc1entNNhnCs2JDOrxmAQDA1VR2P3bCrYs+4by3GxkjYbk8ZOYdO6FhMUlEpWSStq0Gez+7VdqSoo86rM8J4tPH72PpHETsDQ3d8lP/Ej2/fGbEMV7kaGTprL+i4+7tG1XBPGA8EjOv+t+IpJSurRPgUAgEBxdKD1wr+CMXhXFn3vuOebPn8+8efMAeO211/j+++9ZvHgx9957b2/uus/Jrmhw6x0uSfDwN7s7COJweOD9m+3FAB18qhUVtuRV897aHG6a2f1q7YLuER/iw/j4ILYX1Dj1FNdqJM4cFdWl/v29dJwxKrobEfY9Z4UH8WuVczsQrUSvCaipvl6M9/dme10Tjk6XEhCk1TArNMBpH1ZF5bmcEqfrVeDdogpuT4oiTK/lYEMzf9TUowJTAn0Z6efd2rZZUdwOEAD4a2TquiiOK0Buk7lL27qj3Oz+AUYCyt1k3jujzGThg6JKllUYaVYUxvv7MC82jAmBA3cmhKD/CPLR89eZQ/iruPYJjkJKzBaX1woFKDJZejWGiyODeSyjiGZFcRhLy9DTkesU4OqYUPY3NBOk1ZLsre9ylo5g4KEqCj+8/Bz71qyyP8QAis1G1paNZG7a0PV+VRVFsXWrjyNpqvfMjk7QNSJThnYr47szJI6dwMX/eKzX9yMQCAQCAfRioU2z2czmzZs59dRTD+9Mljn11FNZt25db+2232gweWbfsKuw1m3hMGcoKry/zjNPt65gstpYurWQf3y1k/u/2sm324swW3u/mN9g5d4zhyFJEs6e/245JZUgn2PHY/mCyCCi9Fo0Dj4PCZCQuCEuvNf2/0RqHBpJ6nBSaxGnF6XFubT42FHXSKkbMdiq2j1eL9uWyQl/7uO+AwX840ABszbu57wtBylqtovUI/28HYrzR8Z1U1z3ClOG6XtnXNPXgxoGKp5l6B/JJmMDMzbs5d85JeyqbyKj0cSXZdWcteUg/8p2PighEAgERyOReq3LEoMyEN2Fc21n8NdqeH1kIhqJdtdw6dBfmo/BoViuAs/llnLW5oPM2LCXWRv383OFsVdjFfQde35faRfEoZ1tRk9kdvdEH22pqyhn07df9mifgvZ4+fZ+UeshE6YIQVwgEAgEfUqvieIVFRXYbDYiIyPbLY+MjKSkxLHwYTKZqK2tbfc3WIgP8XZb8M6mgq0bvo0AhTVNvSJU7ywwctzTv3L7J9v4dGM+n2zM55aPt3L8M7+yp2jwfA99ydSUUBZfN5mogPYFGH30Gu45Y9gx53Xrq9Hw+fihROntD+9ayT61WgK8ZZn3RyeT7tu5YpWdYWKgL1+NH8pof+92y5O89SweleS2wGa9BxnbEvDfvFLW1NgzklqK6gJsNjZw/tYMaq02jgvyI9nb9YCICgTotNyWGImE/bPSHiFIuOMiD4qGdpZqi5U79uV71NZosbK6qo5Piqv4tbIWi5sBv3qrjbk7smi0Ke0Lyh3a7F85JfwoBBWBQHAMcWV0qNtM8Suie886pYXZYYEsm5jG+eFBGGQJCRjiY+DxoTGUmT3LVN/X0Mw1O7P5qrS6d4MV9Albln0zqDL/f/twMXt+X9nfYRy1JI+bCFLv1Y+JSRvOuXfe12v9CwQCgUDgiF4vtNkZFi1axKOPPtrfYXSJIB89Z4+J5rsdxQ4zwSXA31tLbVP3pp1pZcmt+N5ZymqbmfvWeupN9tisbeKvrDdx5Vvr+fXOkwjxPXaynj1lZlo4f9xzCmszK8mtaiDIW8/Jw8Lx6aUM3oHOUB8v1k8bwbIKIyurarGqKuP9fbgkKgR/JwVre5JJgb78OCmdfQ1NFDZbCNVpGevv7dFD3RAfg1vLExUoc5JNbsNeYPOjokr+mhDBY0NjuXqn6yrIT2UV8+nYIcyNDuHz0mqKmi2E6bVYVZVX8srcZpu3WLaUmy18VFTFemM9Enav78ujQwjRdf44fCGnlFw3fuIt3HqEeB6q0/LI0BguceJ9+0VpNUar81k1GuDVvDJOF0XbBALBMcIlUSG8W1jB/oZmjjw7aoAx/j69UjvCEaP9fXhlZBIAiqoiSxK/VNZS7WEyRkuru/fnc3pYID4ezDoSDFzKc7NRu5nM09cse/k5/MPCiR8+qr9DOeoYf+Z57Fn9q1trwM4iazSMOHEWJ183H422d2fFCAQCgaDnWLRoEV9++SX79u3D29ubGTNm8Mwzz5Cenu5yu88++4wHH3yQnJwcUlNTeeaZZzjrrLP6KOqO9NrdalhYGBqNhtLS0nbLS0tLiYpy7LN83333YTQaW//y8z3LVhwo3HfmcML89B0Kf8mS3Yrv+UvHMTU5hK5q2hpZ4oxRUcg9LIr/b0Me9SarQ29smwq1TRaWbMzr0X0eTciyxPGpYcydmsjZY6KPWUG8BZ0scV5EEM8PS+C/wxO5Pi68TwTxtgzz9WZWaADjAnw8znKK9dJzSog/riL1JIv7kxJ7sTJPPGCbFZXztmbwdHYJtyZE8q9h8dybEk2wzvV0+hb0hwSLSev28Ex2MSur6vi1qo7HM4uYtHYPa6rrUFWVnCYTe+qbqHMhSAOYFYX/FVd2EGY8pdJi5Za9eXzipGDb2pp6lxcdG7DB2NDtGTUCgUAwWPDWyHwxfihnhge2O+9rgPMigvhk3BCX1l+9hXzo2lnhYZZ4W+ptCsvKa3o4IkFfI2v69t6tR1BVPn30Pirycvo7kqOOyOQhnP632+3WkT10TopMSeWm197n9L/eit7L2/0GAoFAIBgw/PbbbyxYsID169fz888/Y7FYmD17Ng0NDU63Wbt2LVdccQV/+ctf2Lp1K3PmzGHOnDns2rXL7f5sNhurV6+mpqamB99FL4rier2eiRMnsmLFitZliqKwYsUKpk+f7nAbg8FAQEBAu7/BRFSgF9/cfDyXTIzDoD380U4fEsonN01n1vBI7jgtDcCh4CVLEOCl7SCqt7SXoFcKjX2/s9hpsUiwe5n/sKO4x/crEAw0nkqLI0indXpitLnRalXswjDYi216eoL9qrSaf2Yf/o1NCPBxK0x7yRIWVeGaHVmYFLVdVrl6aP9Xbs9ixvq9TFu/l1M27mfE7zu5dU8u5U5EjuJmi0c2Mu54NLPQoZWKkLoFAoGgI8E6LW+NSmbT9BG8NiKR10cmsnnGSF4dmYSfRmZ9TT1fllbzW1Vdu9l8fUGMofOzBLUS5Db3TiFoQd8xZOKUHhM/+xRV5ac3XurvKI5KRs6cxXXPvcb4M84lIimFyJShSN0YPDnl+pvwCRCzAwUCgWAwsnz5cq677jpGjhzJ2LFjeffdd8nLy2Pz5s1Ot3nxxRc544wzuPvuuxk+fDiPP/44EyZM4KWX3F+3NRoNs2fPprq6Z236ejWldeHChVx77bVMmjSJKVOm8MILL9DQ0MC8efN6c7f9SmSAF09fNIaHzx1JeZ0Jfy8twW1sR6alhPLaVRO567Pt1DZb0coSiqqiqnDh+FjuOC2dv/9vM9sLjK02KVZFxceg4b9XjGdUbM/fODSa3Fu6NJq7mjsqEAweEr0NfDFuCLM27u/S9jIQ72X/vXtSbLMFFXiroILbEiPx1WqYFuhLmo+BzCaTQyFeBs4JD+KK7dlO96EAZlUlu40wYQE+La1maVkNz6TFcUVM6OEYVJV/HCzwMGLXVFls/FZdx6mhhwc2rYpKg9Xm8jORsQ8IaAaRh6lAIBD0FLFeemK9Dt8zrqis5b4DBeS1OY+H67Q85MKmqqc5LtiPKL2OUrPF44FNmwoBfTxDTNDzTDrnQg5uWNvfYXSJ4oP7UFV1UHmiDxZCYmI5+dr5ra8/f/JBcnds7XQ/o085nZjUYT0ZmkAgEAh6gCNrOxoMBgwGg9vtjEZ7bbCQEOf3qOvWrWPhwoXtlp1++uksXbrUo9hGjRpFVlYWycnJHrX3hF4VxS+77DLKy8t56KGHKCkpYdy4cSxfvrxD8c2jEW+9hoRQH4frZo+M4s+0cH7cXUJWeQN+Bi1njIoiPsTefumC49iQXcWKvaWYrAojogM4b1xMr9lyDI8JoLTO5NALHey2LcOjB0/WflWDmSUb8/hxVwmNFhtjYgOZOy2RCQk9X5RQcPSxtqbeYzH7SBTg6kNCc0uxzbwms0d2JI2KwsbaBk4KCUCSJN4alcycrQcxWmyt27c82o3192aTsYFGpWuRmlWVO/bn80ZBOU+nxTEl0JfNtY2sqKrrUn+OaFuYTVVVFuzNddu/AtwUH9FjMQgEAsFgZVVVLVfvyOogRJcfsqmyqSqXR4c63LYn0UgSi9JiuX5Xjtu6Gy20DNwKBjfRqemcdctdLHv5eVTFNuj8xRWbDY322LY07AtGzpzVJVF89+oVGHx9OeHKa5FlMYgmEAgEXcEQdDNeet8e6Us1NwA/ER8f3275ww8/zCOPPOJyW0VRuP322znuuOMYNcp5XY+SkpIOenBkZCQlJSUexfjEE09w11138fjjjzNx4kR8fdu/9664jfT6ncLNN9/MzTff3Nu7GXR46TScPy7W4TpJkpiWEsq0lN5/2AG4eloiK/aWOV1vU1SumpbYJ7F0l12FRua+tYHaZgst9+5Z5Q18saWQW08ZysLZrk3/BZ0jt8lEpdlKlEFHjNfRUYh1T30zGgmsnXz2k4DJAb5cGGkffJEkiddGJnHh1gyabIpHQru5zcBUmq8XKycP453CCj4tqaLGaiPRS8/VMaFEG3TM25XTuQAdsLehmfO3ZjAvJhQF+5T3zr5vZ0TrDxdL+q26jq/Latxu8/f4CM4JF9NoBQLBsY2qqjx4sBAV5yL0IxlFXBAZjKEP7C3ODA/ivdHJPJxRSHaTa1sUCbg+LowogyiYdzQw7LiZxI8cw84VP1KanUH+nl2YGur7Oyz3SJIQxPuIIZOm4hMQSGOtsVPbKVYrm779CqvZzKzr/9pL0QkEAoGgs+Tn57cTlz3JEl+wYAG7du1izZo1vRlaa0HO8847r91ssJbZYTZb5x0uxN2CgJlp4VwxJZ6P/8xvlwXU8v/rZiQxLaVvpul2h2aLjWvf+ZO6NoI40JoB/59fMxgWHcBZo6P7KcKjh3U19TyeWcSW2sbWZccH+fHw0BhG+zueITFYMHSxkK1Bllg8OqldQbSx/j78PCmdJzIL+aGi1sXW9t/bSL/2RYYiDTruTYnm3pT2x+xjGUU9KmC/U1TJaD9vl7UFOkOEXssJwf6trz8sqkQjufZkT/Ux8NDQGABsqkpmowmbqpLsbcBLMwg9TQUCgaCL7Kpv4mCjyWWbGquN53NKuDclpk9imh0WyGmhAWyta6TcbGV/QzP/zS2lzqagPXR+l7EL4o8MdZz0IRic+AYFM+2iy6nIz+W9uxb0dzgeEZMqkmD6AlVRWPbSczTWub7HddED2378jknnXEBgxNE/k1wgEAgGA52t73jzzTfz3XffsXr1auLi4ly2jYqKorS0tN2y0tJSoqKiPNrXypUrPY7LU4Qo7oCDpXW8vjqLP7OrABgVG8Dds9NJDvfr58h6B0mSeOqC0YyJC+LN37PIKrdXix0a4cf8E1O4ZGLcoPDk+35HMZX1zjOYZAneWJ0lRPFusqqqlrk7sjhyFu26mnrO3XKQpeNTGRcweIXx2WGBvF1Y0entmhWVnytrueKI6ewpPgYWj07hrE372VbX5DBjXAPMCg1o5yXrCqWHS1ZKQE6TyWEBYEfI2K1OnE2lfyI1Dq0sYVFUaq02Mhua3RYprbRYUVSVNwvKeTWvjBKzvdZBgFbm2pgw7kyKEuK4QCA4Jig1u6/1AvBCbhnDfL2ZE9k39nCSJDEhwD5N9fSwQObHhbO8wkhuk4kArYZzwoOIEBniRy01JcXuG3UCSdagMxgwNzUiazQMnTyNA+v/6H6/ksTsm27tgQgF7sjZvoWMjeu61Ycky+z74zemXnBpD0UlEAgEgr5AVVVuueUWvvrqK1atWuWRz/f06dNZsWIFt99+e+uyn3/+menTp3u0z5kzZ3Y1XKcIUbwNqqry3M8H+O+vGe2W51U18sPOEi6fHM9TF4xG7mImqTM251bx7h85bMiuQpYkZqaHc92MpD718ZYkiSumJHD55HiMTRYkJAK8tYNCDG/hj8wKNLLk1BtdUWFbfg0mqw2DgwJQqqqyv7SOumYrCSE+RAZ49XbIAxKzovB9uZE/qutRUJkU6MuciGB8NDKKqnLnvnwUtaMYagNUReXeA/ksn9T9DJ0Gq40ikwU/rUy0oe+sWU4I9mOUnzd765s88gJvQQZWVdV1EMVbeHlEEudtOUiVxdquXxmI8dLzbHq8w+0cMTnQl9fyyzsRnWtUoM7m2uBFA8yNCeXa2DBiDDq21Tbyf/sLyDcdHoiKM+h4NDWWsf4+3LUvn89KqzApqkdie5BGwz37C/iguLLd8lqrwst5ZWyubWDJ2CHtMvEFAoHgaCSyEzVk7t6fz+lhgXj3w6Cht0bmgj4S5AX9j8G3ZzxLW5BkiROvvI5hx89EqzfQVGfk4J/rULtYLwXsMV5wzyOExiX0YKQCZ+xY8SOSLHfrO5MkudPWKwKBQCDofxYsWMBHH33E119/jb+/f6sveGBgIN7e9hnw11xzDbGxsSxatAiA2267jZkzZ/Lvf/+bs88+myVLlrBp0ybeeOMNj/f7+++/8/rrr5OVlcVnn31GbGwsH3zwAcnJyRx//PGdfh9CFG/DV1sLOwjibVmyMZ/oQC9uOzWtx/b55uosnvxhbzsx9/PNBXy2KZ/nLh3HnPF9OwVVkiSCfAapN7Qr8822zRy0+X5HMc/+uI+cSrsdiCTBKekRPHjOCJLCevYhYCCzt76JK7ZnUmK2opXsn9VHxVU8llHEB2NSaLYpFJosTrdXgG11TexraGKYr7fTdq4oN1tYlFXM5yXVmA99WeP8vbkrOZpTQ3t/oEiWJP43JoXLt2eyt6G5dVq4u0NLBawuilAl+xj4ZXI6bxSU83FxJdUWG+F6LVfFhHJDXDghOs9Px6eHBhJt0FFmsnRKuHfHxZFBfF5a02G5Bogy6Pi/5GjC9FpWVdXyVFZxO0F8gr8Pzw+LRyfLzN60v12BUHefnQzMCPbrIIi3oABraxr4rKSauTF9U2tBIBAI+otRft6k+hjIaDS5PX/W2RSWVRhb61kIBL1FbPoIZI0GxYVfp6zRcNYtd1NXWU5tRTnbfvzOXqDTwf2RYrXyy9uv0NxYT0nGATI3beh0Mc9zbr+X0qyDWM0mksdPInncpE6/L0HXqSkt7pYgDqAqNgLCwnsoIoFAIBD0Fa+++ioAJ510Urvl77zzDtdddx0AeXl5yG2S2mbMmMFHH33EAw88wD/+8Q9SU1NZunSpy+Kcbfniiy+4+uqrmTt3Llu2bMFkstsNGo1GnnrqKX744YdOvw8hih9CVVWXgngLr6zKZP6JKfh0IovHGZtyqnjyh70A7bKbW/5/56fbGRcfdEyJst1hUlIIX24tdLpeliA9yh8vXfss8SV/5nHvlzvbZbOqKqw6UM7mV/7gmwXHkxA6eO1APKXGYuWibRkYLfaHnbZ+1bVWG5dty+SOJM/8/vKazF0SxcvNFs7cdIBis6Wd3caOuiau3pHFC8MSuCy69/3tIw06fpmczorKWn4oN9KkKKyvqafcbHVaMFMCxrnxU4806HhwSAwPDolpLQbRFbSyxAejk7loWya1VluPmKmE67Q8l55Amq83L+eVYbTajwMJu6XMorQ4wvRavi+v4YZdOR2yv7fXNXL2loMM8TG0E8TdoZEgTKelzqq49B2XgfeKKoQo3kusXr2aZ599ls2bN1NcXMxXX33FnDlz+jssgeCYwaaqrKisZWttI1pJ4tqYUB7MKHK7nVayF73uK2yqyi+VtaytrkcFpgf5clpoINoenkUpGHhU5Oe6FMQB9N4+pE07rvX+ZvhxM1ny8D0oNueWQGs+ft+ejdJJQVySZeJHjiZ9euezwgQ9g09gIJIkuRzM0Ht7YzGZnIvnksTw40/qnQAFAoFA0Gt4MpC9atWqDssuueQSLrnkki7t84knnuC1117jmmuuYcmSJa3LjzvuOJ544oku9SnmoR+ipLaZ7IoGt+1MVoV1mY6zGTvLO3/koHH1ECHB/zbk9si+jgXOHxdDgJcWZx+posINx6e0W1bXbOGRb3cDDuxAFJW6ZitPL9/XC9EOPJYUV1HtRMxUAJOisLnW/W8EIMiBPY0nPJtdQrHJ0kEYVbB/P/ccyKfO2pO50c7RSBKzwwJ5YXgCr49M4oEhMS4Fca0kObVOcbhNN62JRvn7sHrKsE5Ns3caC3BDXDh6jcytiZHsOG4kX40fypKxKWyZMYJ3RicTZdBhVhTu2p8P0OGzsAGNNoXtde5tZyTs2ecAaT5eLB2fSl6z2aXvuAJkuyk8J+g6DQ0NjB07lpdffrm/QxEIjjl21DUyed0ertmZzX/zSnkup4QHMopI8HLvz21TIaCL11xnZDY283RWMbfvzeOpzCIONjQDsL+hmWnr93LtzmzeLixncWEF83blMGX9HvbWN/VoDIKBR9aWjUhuLMya6+uoKTk8mGNqanQpiLfSSUEc7JnrPgGBnd5O0HOMOOEUl6KIJEmMOfVMDN4+To+d4y67Gp/AoF6KUCAQCARHE/v37+fEE0/ssDwwMJCampou9SkyxQ9hsXp+M9Zg7hlRbkN2pVP/a7CLsp9uyue0EVFMSe797NjBjq9By1vXTubaxX9itirYDt2ktVjTXD0tkQsntLej+W5HMSaL82l/NkVl+a5iahrNg9dWxkO+K69xmXFsA3bVNeGrkWlw4T8dpdcxMbDzsxsabQqfllS5FFRNisqXpdVcGxvW6f67y8WRwaytrufjkqrWQpNgz3QGeG1kImF6LeVmCx8XV7GjrhG9LHNqaABnhwdi6GEv7I3GBp7NLm4tSNkVWt7HaaEB/D0honW5QZaZHtSxsPDPlbVUW5x/Q55OoD0/IohRft5MDvRlSqAvkiQRrNO0+1wd0dPCj+AwZ555JmeeeWZ/hyEQHHPkN5u5cGsGTYeuq21vRwtMFvSA8xLi9vP4OeFBPRKLoqo8eLCQtwsrWq9tAP/JK+PSyGBWVNZSY207m8webKnJwoXbMlg9ZRjhelFo82jFZrXYs4LdtbMcttmrzO+95B6DX8f7FEHfkj79BDZ+8wVVRQUdMsElWcY3KIQpcy5h9Cmns2LxK+Tt3N663icomBkXX8nY08S9h0AgEAg8IyoqioyMDJKSktotX7NmDSkpKY43coMQxQ8RHeSFv5eWumb3AlNaZM/chMkeZIoam6xc+vo65p+QzD/OGj6oCl/2B1OSQ/h54Yl8sD6XZTtLaLbYGBkbwDXTkzgpLbzD51dQ3YhGlrC6GJxQVPtMgqNdFHcldLdgUlUWJkXxeKbzKd3/GBKNpgvHaZnZQrOL7wHs2dhZ/ZQtLEkSzw2L56RQf97Kr2BnfSN6SeKMsEBujA9nlL8PS0uruWVvHjZVRcUuVnxZWk2sQcen44YwxKdnirf+XGHkul3ZHnnod3gfgLcsY5Alhvp4MS8ujPMjgjz6znKbzGig2z7m54QHcU5EULtlF0QG82tVndNtNMDFUWJwUCAQDH621zXybkEFm2sbqLRYabApDk/nNvXw+Vai4ylfAv4SF0akoWeE6OdySnm7sKJ13235tLTa6XY2wGix8b+iSm5PiuqRWAQDj4ikFLf2KTqDF4GRh48Bq8V5HZru0lxb22t9CzxDq9dz6UNP8f1/niVv13aQJPu5SlWJSBrCuXfci7efP95+/lzywJMYy0qoLipE5+1D9NA0ZI1IdhAIBAKB58yfP5/bbruNxYsXI0kSRUVFrFu3jrvuuosHH3ywS30KUfwQOo3MvBlJ/MeNr/iYuECGRfVMsb+ZaeF8ubXQZbZ4C2/+ns2ImAAuGB/XI/s+mokL9uG+M4dz35nD3bYN8tajeDBlM8j76BbEAUb7eXOgsdmphYUGGOnrzd/jw7EoCs/llGJRVTSSPWPMR5Z5aGgMl3ZRuPTz4MZYUVX8tP3n+iRJEudHBHN+RMeCZluMDfx9T267TOeWR8cSk4VLtmWydupwvDTdi9+kKNy6Nw/Fg+KfjlCBN0YldaloaZBW021B3CBLnBji32H5ueFBvJhbSnajqcM+NIC/VsO8fpghIHCMyWRqLWwCUCvECYHAI17KLeWJrGKXNRTaIgNj/L3JbDRRZ1Naiz/LwPVxYTw8tGcKsjfYbLyaX9bl7RVgaVmNEMWPYlImTME3KJhGY41DywxJlhl1ymnoDIcTACISk3slFkmW8Q0WA+UDAZ/AIC558Ekq8nPJ27UDVIWYtOFEDU3r0DYwIorACHGOEAgEAkHXuPfee1EUhVmzZtHY2MiJJ56IwWDgrrvu4pZbbulSn0IUb8PfTx7Kqv3l7Cg0Olzvrdfw7MVje2x/185I4vMtBR61lSR447csIYr3MGePieapZXudrpclmJAYTFRgz2T4DmSuiw1zmwk2Ly4MSZK4PSmK62LD+K7cSIXZQrRBzznhgfh2w94iTK9laqAvG40NTi00bMB5DgTpgcAr+WUdik+2YAOKTBa+La/hkm5mO/9YUUt1F33VNcAof29OdiBKe8IZ4YHcc6AAi5OBJAkI1mmocmKxIgHz48Id2qB4aWS+GDeUebuy2VLbiAb7ec+qQpyXnncP+ZoLBgaLFi3i0Ucf7e8wBIJBxcrKWp7IKgY8E8TBLjZ7azTsOG4UyyuM5DaZCNBqOCc8iIgePCeuq2nwaMaYK+r7qOaHoH/QaLWce8d9fP7kA9isNlTl8PctSRJhCUkcf9nV7baJGzEKjU7XzlKlJ1AVhZEzZ/Von4LuERafSFh8Yn+HIRAIehCbYuP3wt/ZVbELnazjhLgTGBE6or/DEhzDSJLE/fffz913301GRgb19fWMGDECv25YqglRvA1eOg2f/W06L6/M5J012dSZ7FYqsgSzhkVw/9kjSArrvFeyM0bFBvLsxWP5v8+3o7rJ+lRV2FtSR12zBX8PCi/1B+syK3lrTRZrMypRUZmUGMJfTkjm5PQI9xv3EzFB3lwzLZH31+U6nJYMcNfs9L4Oq1+YEOjLrQkR/CevrJ23c8uU7SujQ5jdJrs4SKflqhjPC0t6wt3JUVyyLdPhNHEZOCs8kHTfgTlA8VNFrcssahm7J3d3RfGDDc1opfa+s67QSvbzhw1I8NZzU1w4iko7v1hPCdFpWZAQwQu5pQ7Xq8CzaXGsq2ngrcKKVmFbxS4AXRkdwn0p0U77jzTo+H5CKltrG/mtug6rqjIpwJeZIf4e2U0J+o777ruPhQsXtr6ura0lPj6+HyMSCAY+r+WXd9qCSiPBUB8D3hqZCyJ7b1C4sZuCuEaCYX4D8/os6Dlih43gqqdfZOM3X7J/7W9YzWb8QsIYN/ssJpx5Hjqv9seAzuDFlPMvYd3nH/V4LOu++JjAiChC48S1RyAQCDylzlzH91nfs69qH15aL06OP5kpUVM62MzuLN/JHavuoLSxFK2kRUXlpZWxt+sAAN28SURBVG0vMSlyEs+d9BzBXgMzUU1wdHP99dfz4osv4u/vz4gRhwdoGhoauOWWW1i8eHGn+5RUVyWj+5na2loCAwMxGo0EBPSMZUlnaLbYMDZZCPTW4aXrPc+zrPJ6/vrhZg6U1rttu+OR2QS4EcVVVWVTbjWF1U0E++qZnhKKvpctJxavyeax7/a0FrUE0EgSNlXl1lmpLDyt4xS6gYLVprBo2T7eXZuDoqjIh+IO8dXz7MVjmDU8sr9D7DNUVeXrshpezitjZ30TYH8Y/1t8BFdGh/SJp/03ZTXcsS+PBpuCTpJQVNWeIR4eyIvDE/E+wn6k2aawpqYeo8VKkreBCQE+7eIsMVn4X1Elu+ub0MsSs8MCe7zwpaqqxKza7tbO5PTQAN4b07UCEC28llfGY5lFbota/l9yJHEGA5+XVrGuph5Lm+DCdFoWpcVx7hG+3p6gqCpPZxXzSn4ZtkPiulUFP43MorS4VtE/u9HEpyVVFJssROi1XBwVQtoAHdDoS/r7uuYJkiTx1VdfMWfOHI+3GQzvSyDob+JXbXc608YVyyemMS7ApxciOsyBhmZO/HNft/r4YHQyp4UF9lBEgoGOqqqoiuLWF1pVFH55+1V2/LIMJBlQ7QU7FYVhx5+E1dRMxsb1nd6/JMsYvH246ukXCYzo2Xv1o/WadrS+L4FA4Bm/5P7Cfb/fh8lmQiPZz91W1crwkOG8cuorhHnbrSrza/O5+NuLabY1o6jtnzo1koa04DQ+OvsjtLLIsXVHb513W/p9dt43eOt7JnG3ydzA3e+cN6CvERqNhuLiYiIi2ifeVlRUEBUVhdXqvkbkkYij2AVeOk2viuEtpIT7cdOJQ7jzs+1O20jAkAg//A2uv7LfD5Zz/1e7yKtqbF0W7KPjnjOGcfmUhJ4KuR17i2t57Ls9AO380W2HHvz+s+IgM4aEMi2lZ7OKewqtRubBc0bw15lD+HlPKXXNFhJDfZk1PAJdN/2fO4OqqmzJq6aguokQXz3TUkL7dP9gF8PmRAYzJzKYBqsNBbvY2ZcFXs+LCGJWqD/fltWQ0WjCTyNzTkQQQ48oUqmqKm8VVPBsTjG11sMX66E+Bv6dHs/UID8+Ka5i4f681pkYMnbP03gvPZ+NG0KSt6FHYpYkieG+XuxraHYqVsvYrUu6y1nhgTzqotCphP0zuCMxincKK1hd3XGwrcJi5cbdObwrJ3N6JwUMWZL4x5AYboyP4PvyGqotVhK8DZwZFthuwCLZx8A9LrLCBQOL+vp6MjIO19TIzs5m27ZthISEkJDQO9cOgeBYQ+1CJYgb48J7XRAHSPP1YkqgL5uNDV2qHXFJZHCXalUIBi+SJCF5UA9GkmVOm7+A8Wecw+7fVlBfVYlvUBAjTpxFRFIKNaUlZG/fgs1s7tT+VUXB1NTIn19/xmnzb+7q2xAIBIJjgu3l27nztzvtA5qoWNXD4uGB6gP87ee/8cm5nyBLMu/teQ+TzdRBEAewqTb2Vu1ldcFqTkk4pS/fguAYpra21n7sqip1dXV4tZmZZrPZ+OGHHzoI5Z4iRPEBwtljonnyh73UNJpxVHdTBeafkOxSnFyXWcl1izeiHPHQVd1o4d4vd2JRVK6elkij2Up5nQl/Lx0hvt0vIPnB+tx2GeJHopEl3l2bM2BF8RbC/Q1cObV/xJ8/Miq4/6ud5FQeHswI8dVz7xnDuHRy/0wL7Y4/eLf3rdFwebTr4+WlvDKePOTN2pasRhMXb8vkidRY7j1Q0O7X0PKgX2Qyc8m2TP6YOgx9D2WM3xAXzsL9+U7XS8BcN+/JExK8DVwcGcwXpdUOBXgVuDs5mmZF5XEX4jnAoxlFzA4N6NKgR5hey7Wi8OVRw6ZNmzj55JNbX7dYo1x77bW8++67/RSVQHB0MTnQlw01zutmtCXOoGNBYiTX9bBNmSueGxbPuZsPUmuzeex5DvDgkGj+Fh/RpwPogsFHWHwiM6+6vt2ybT/9wKr33sRmde45LkmSw8KeYBfGd/+2gpi04ZibmwiOiiFh9Fhkuf/uYQUCgWAg8vbOt0F1PEBvU23sq97H2qK1HB97PD9k/4BNdT5ELksyy7OXC1Fc0GcEBQXZB+MlibS0ji4UkiR1ud6VEMUHCF46DYuvm8xVb22g0WxtFcZbxOa5UxO4dJJrcfTx7/egouJsZu5TP+xhe14132wvxnzIO3J6Sih3nJbGlOSu+xxvzq12KoiDPXt8S67zAo7HOuuzKrlm8Z8oR3xxVQ1m/u+LHVgUhblTj67CNc02hR8qjGQ1mgjQypwVHkScl+cDNNUWK//MLnG4TgE4ZPEh49i71aZCfrOZGev3Mi8unCujQwjW2U+HlWYrJkUhQq9DK3v+gH9ZdAgrq+r4trymnSe65lBM/x4WT0wn3qMrnk2Px6KqLC2rQSOBjIRVVdFKEo+nxnJeRBAv5pTQ5OJ3qQJZTSZ21Dcx1r/3sxAFA5uTTjrJqeggEAh6hr/GR7CuJtvhOhnQyxKfjh1KqF5Dsrehz2spDPXx4sdJabyYW8rnpdWYXFxD2nJVdKio+yDoNHvXrGLF26+4befu2mSzWFj+yvOHipio+IeGcfrfbidx9LgeilQgEAgGN7XmWlbmr3Tb7rvM7zg+9ngaLA0u2ymqQq25tqfCEwjcsnLlSlRV5ZRTTuGLL74gJOSwfqnX60lMTCQmJqZLfQtRvA37S+r4aEMu+0rq8NFrOGNUFOeNjcVb3zfZBuPig/hl4Uz+tyGX73cW02S2MTw6gKunJ3JSWrjLDJyDpXXsKXJ9YmoyK3y5tbBdJvqG7Eouf2Mdb1w9iVNHdM2PT++BxUdf24AMJh7/bs+hqSCO1y/6YR8Xjo/rs+Owt/murIaF+/OotSpoJVBUeDijiLnRoTyVFutR5va3ZTVYXTwkKUC11f0E8AKThScyi3g9v4w7EiNZUlLF9jq7l3qwVsO1sWHcmhiJjwfHr0aSeG1kIjOL/XmzoJz9Dc1ogFNCA/h7QgTTg7peEflIvDQyr41MYmFSM1+XVVNrtZHobeCiyGCCdVpUVWVxYYVHfVWYO++7JRAIBILOc3pYILcnRvJCbmm7gpsy9qLuDw6JYXKgT79mXCd4G/j3sASeTovn7YIyHsnsOCOrBQlI8NIT0I8zywT9i6qqmBoaUFHx8vXz+NhVFYU1S97v6WAAqK+q5MtFD3PZI08Tkza8Z/chEAgEg4z9Vfu5/sfr3TcEdlfuBiDOL478unyntm8aSUNiwNGVtCcY2MycOROwW3wmJCT06L2yEMUP8dKvB/nXTwdaM7MlCVbuL+fFFQdZMn86CaF9k0kZFejFnbPTuXN2eqe2K68zedTuyKQfRbU/1Nz52Xb+vH8Whi482MwaHsHuIqND2xewZ7uf1kXB/Wgno6yO3W4GM+pNVn7ZW8q5Y7s28jWQ+L2qjvm7c1ovr9Y2x8z/iitRUHlumHsLmzKztbXAY3dRgXKzlfsOFtJW+q622vhPbilrquv4bNzQDgU+HaGRJK6KCeWqmFCsioos0avZc2m+Xtyd3NG3e1tdE6Ueit0xho6Fe3OaTLxbWMGvlbXYVDgu2I95sWEM93Psib6muo63CyrYXteIQZY4MyyIeXFhxPdQZrxAIBAcLdybEs0JwX4sLqjg9+o66m0KCvb7sfsPFvJBUSX/To9nYmDPFE3qKjpZ4uqYMP6dU0rDoRgdcWO866QNwdGJqqrsWvkzm779kqqiAgBCYuKYdO6FjDr5NLfHRFlOFrXlZb0WG6rKmk8+4NIHn+qVfQgEAsFgoN5cz40/3+hxVndubS45tTlcln4Z/9r0L6ftbKqNi9Iu6qkwBQKP2bt3L/n5+Rx//PEAvPzyy7z55puMGDGCl19+meDg4E73KdJ3ge93FPOvnw4AhwtFtiShltaauHbxBpf2IAOBiICuFwxUAWOThZ92l3Zp+yunJGDQanDkNCFhz366ZroYSXREWa37wQxZgjIPBz0GOs9kF+PsMUkFPi6uIq/J/XuNNGg98jv19DG9pasjH/oVYEttI28VlHvY02G0stRv08lzPfgMAeINug5C9/JyIyds2Meb+eUcaDSR2WTif8WVnLJxP+8fkX2uqiqPZRRx8bZMfqo0UmSykN1k5vX8Mk7csJc/qut67D0JBALB0cJxwf6MC/Ch1oHYfKChmQu3ZbC9rtHhtn2Jr1bD4lHJ6GQJTZvLWcvDwznhQVwnakscc6iqyorFr/HT6/9pFcQBqooK+On1//DzGy+Rv3cX3zy3iFfmz+XVG69i2Uv/pjTrcDFnU6PrqfndjlFRyN+1g4YaYd8oEAiOXb7N+pbqZs/Pgyoq1y67llkJsxgVNgpZciwXzhs1j7Tgjr7OAkFvc/fdd1Nbax/k2blzJwsXLuSss84iOzu7tSZWZxGiOPDqqgyHgi7YRfLsykZW7e+dbIaeYmiEP6NiApy+D3doZYms8vY3qDZFZeW+Mh75ZjcPLt3F55sLaLZ0tKSICPDinXmT8dZpaKsByhLotDKvXTWRlPCes444mvDEEkVRIcK/64MeA4Vik5lNtY0uC4xJwDdlNW77Ojc8CJ0LwVkDDPHpmc9MAd7x0IpkoODpVPZ5R4gZ+c1m5u/Owaqq7bzYbap94OCeAwVsrT0s1HxbbuSV/LLWNq3tAZOicu3ObGo9sLERCASCY4kqN3UxrIrKUy5sS/6fvbuOj+JOHzj+mZmVuCtRQiC4S4EWagf1UperUr/27nq1+9Xlru7X9mh7daHuXqBCoUhxh0DcfZPsbtZmfn9sEhKS3WxCPN/365VXm93Z73w3JDszzzzf5+lpNlVlc62FjSYzU0ICWDEjg4viI4nUKwQoMpNDAnh+TDIvjUtBEVniQ07e9q1s/fEbj89v/+kHPrzv/9j/x1qstSYsphp2r17JO3f8gx0/LwMgLLbtKjdPdAYjM08/G73Rr9NztdaaOv0aQRCEweKX/F86/Zrqhmo+yfyEVxa8wkVjLiJAd7BiwrDAYdx9xN38Y+o/um+SgtAJ2dnZjB07FoBPPvmEU089lYceeogXXniB7777rktjDvnyKSargx0dlK/QyRK/7ivnuDH9uwTI3aeM5cJX1iF5abbpiappBBoPBtLyqyxc+vp6ssrNzc0G316by7++3sVLF0/jiLTIVq8/Ii2SVf88lo825rN6fyWapjFzeATnzUgmehAEdLubzenikW/3sHR9XofbBhl1HN/Pf/d8YfIhOKpIkk9B1DC9jv9Li+eBA0VtnpNx/80+NyaZ53PL+Lbi8C+IimwOGlwqfv2wNr6maeQ22DG7VJL9DATrFOaGBxGmU6jx8rMMUmSuSIpu9djbhRWomqfqce4bXa8UlPPCWPfKj5fyy5Bpm2FP42Nml8qHJVVcmRjdzhaCIAhDU0d9MVzAr9V1lNocxLZT4qqnuDSN/+SW8lJ+efPxw0+WuCA+kntGDOPRDO8N34WhYYuXgHhLmupq8/8/vPQf4keNJjIhieQJk8nfuQ1N9ZYuAbPPvoCZp5/NEWeeT/6u7TjtNiry81jzyXt4u+CRJInA8AiPzwud43Q4KM/NQnWpRCUlYwzo2xJPgiB0zOayeawL7omGxmf7P+NvU//GrTNuZWHqQraWbSXUL5QTUk/AoIjymELfMRgMWCzuJL3ly5dzySWXABAREdGcQd5ZQz4o7mtZFGc/L58CMCstkrevmMldn+9olfUdGahHJ8uU1dk8fiRqGpwwPg6ABoeL819eS0ltA9D6vdc1OLj0tfV8f+M8hke1PhkKDzRw9bwRXD1vRPe+sUFG0zSuf3czP+0p9ViHvaXbTxo9KJpsDjMa0HVQB9yhaaT6+3YT5bqkaPwVmceyils11cwI9OOJjCSmhgTyv/GpLC2ubC4F0lU6CQxdXYbRg74sq+GJ7OLm92aQJM6KDef/0uKYHBzAL17Kl/xfWjzGQ5qa/lZdj7dbEi4NVla5x1Q1jU21Fq+nWRKwrsYsguKCIAgtlNodKJLkNTAOUGbvvaC4pmn8bXcen5ZWt/pcb1A13ix094z4dHJ6v7w5LPSu0qzMLr9WkiS2LvuWYy+7hmMvv4b37roFe4O13cC4JMvMWnQufkFBfP/fpwGJ5PETGXXEkSSPn8z6zz/C5XS0vx9ZZsT0WfgHh3R5roKbqrpY//nHbPzmcxrq3eeAil7P+KOP56gLL8cY0Dt9twRB6LxxkePYXLYZVfN+8/FQNbYadlTs4IE1D7C7anfz409teIq/TvmrqCcu9JkjjzySm266iblz57J+/Xo++OADAPbt20diYmKXxhzyQfHwAD3DwvwoqmnwuI1T1ZicGNZ7kzoMc0ZEseKm+WzJr6Gg2kpEoIFZwyNYvruUa9/Z1O5rZAnOnJJAYrj7pOarrUUU1ljb3VbV3D+P11dn88Dp43vsfQxmq/dXsnx3x/XbIwMN/POE0Zw7Y3BkZoXoFE6PCefz0mqPgVd/Web0mDCfxpMkicsTovhzfAS/19RjcrpI9TcyMci/ucGTIrkbhV08LIrnckt5KKu4k/fKQZHg5OiwPqsP7slrBeXckVnYqm66XdP4sKSKb8prqHV5Pvk5Ny6cK9qpA+tLJkFnf3797McmCILQ52INelw+LOmLMfRelviaGjOflLZfd1QFNtdaeK+kqk3ZLWHoOZw0IU1VKdi5A4fdRs6WTRgDAtvUFw+JjiF95mwCw8JZ+8n7OBoakGQZkNj563J+fec1zrrjAeZddDk/v/Fym31Isozez4+jLrj0MGYqgPtm2Q8vPsuuX39q9bjL4WDbih8oOZDJefc/it4gVgULQn/zbda3fJf9XacD4gBhhjAu+/4yHGrrG4+VDZXct+Y+rE4rF429qLumKgg+e/755/nLX/7Cxx9/zJIlS0hISADgu+++44QTTujSmEM+3UOSJBbPHe6xIZ8sQYifjlMnDevVeR0OSZKYkhzOqZOGMTc9Cp0ic8L4eB46YwIGRUaSQK9IKI2Zr6dNGsaDZ05ofv2324u9BrJcqsZXW9uWrRB88/HG/OafvSfRwUbW3nHcoAmIN7kjLZ5wva5Vwy442BDzkVGJBPpYD7uJQZY5OiKE02PCmRQc0BwQP9RfkmM4rTHg7usHn9T4dX1yTKfm1NMq7E7u2V8ItL04dYHXgDjAtrr2b3rNDQ/G209fJ8Hc8CB+rDBx0558wvWK12amKjA3TPQTEARBaOnUmDB0HfTFmB8e3KulU94trmxzbD7Uoc2WhaEpfsRhNleTJD564A5+efsVaisO9mySZBlJUQgMC2fbsu/57d03cDS4k5Y0VW0uwWKtq+Wjf93JmCOPZuF1NxIU0fpGTeLocVz4ryeIGNa1jDHhoMK9u9oExJtoqkpp9gG2r/ihl2clCEJHPs38lH/+9k/KreWdfq2MjL/eH4fq8BhQf2bTM9Tb6w93moLQacnJyXz99dds3bqVK664ovnxp59+mv/85z9dGnPIZ4oDXDYnlfXZVfy4qxRZormkhSJL6GSJly6ePmDLV2iaRmZZPSarg2NHx3DyhHi+2FpIbqWFED89p0yKZ8QhTTAtdleHNcmt7TTcFHxTZGrosGxPrdWBfhAuUU7wM/Dd9FH8+0ARX5fXNDdnHBPox/+lxbMgKrTH9q1IEkvGpnBKdCh3ZBZSbnd2+Bp/Webl8alMDO5fS0M/KqnyqfSOJ3vMDeyz2MgIbN206pJhkbyUX4aktZ8J5tRgS62FL8pq0EkHG3C2RwaCdQpnx4Z3faKCIAiDSLHNToXdSaxBz63D43goq20zTRn38eqOEb43IuwO2VZbq4bJh9JwN2MWhJmLziFz/e9deq0kyyh6PSUHMtvUA28qoVKcudfrGJqqYjPXs/2nH5l5+tmMnXcMJfszsVsthMXGExbXu387g9n2FT8gyUqr+vCH2rrsO6aeeFovzkoQBG8sDguPrn+0S69VJIW4wDjy6/K9bmd32fkx90fOHHlml/YjCF2Vl+e9J19ycnKnxxRBcUCnyCy5aBqfby7krTU57Cutx08vc8rEYVw+N5W06IGZ6fj9jhIe/2EPBxrri0vA0RnR3H3KWC6Z7fk9jY4LZkNutcfArSTByJjgnpjykBAbbESRJa+B8aigwbsMMcnPwEvjUqlyOClosBOiU0jxM3jM8O4uqqbxbG4pz+eVYe4gk7rJihkZDA/of/8W2VZbqxt4XVHjaHtTIMXfyJKxqVy7Kwc0msvcKI0B8HiDnoLGoIi32vAyEKDILJ2Y1unMf0EQhMFmo8nMv7OKWFNz8HxsfngQ1yfF8E5xZatG1CMD/XgyI4lJPXQzdmudhTcLK9hRZ8VfkTk5OpTz4iKI0Os8Nk5uEqYXn+cCxI0YSdK4ieTv3Nal11fkZXfYXLMjmqaRuf53Zp5+NrKsMGzU6MMaT2ifqbTEa0AcTaO2vMzz84Ig9DhVU/kx90fe3/M++6v341AdWJyWTo8jI3Nc8nGcPepsrl52tddtFUmh1NxxOVhB6G6pqale40YuV+eTd0VQvJEiS5w1LZGzpvXMUjtN03o86NfSRxvyufXjba1KG2jAyswKFr2wmi9uOLJNo8wmF8xK5s01uR7H1jS4ZHZK9054CDlzWiJfbWubHdZEluC8QVY2pT0Reh0R+t77CPrXgSKW5Pu2hEwGZoYG9suAOEBoNwSaE/3a7xx+akwYowNH83phBT9V1aJqMCcskEnBgdyeWeB1TD9ZYmSAHydGh3JRfCQxvbj0XxAEoT9aXV3H+VuzWtUQ13A3Nl5nMvPh5BHUOlVqnS5S/A1M8VIG7HA9kV3CEzklzTc6AdabzDybW8ZfkqJZXlnr8bUycG5cRI/MSxh4Trv5Dj76152UZR/o1Os0VcVp754VBw5b1xuoC77xDwlBkmWvNzH8ggZm8pggDAYu1cVtK2/jx9wfkZB86g91qPMzzueoxKMYEzGG6IBoSswlHe9XcxHpH9mVKQvCYdm8eXOr7x0OB5s3b+app57iwQcf7NKYIijeg2osdl5dlc176/OoqLcT6q/nnGmJXHlUGnGhfh0P0EUWu5N7v9wJtFNvWNUw21089O1u/nfJ9HZfPzouhH8cP4qnl+9DameMYzJiOGNKQrfPe6iYPzKauemRrDlQ2SbTV5ElYoKNXHyEuOnQnfIb7LzoY0C8qY74P9P67/Lb02PCeC6va5k5Cu664AkeguLgzlR8aFTrG4R37itAJ3nPEG9QNT6bkk6QyA4XBEFA0zRu3pOPS9PaZGC7AJuqcVdmIT9Mz+jxuXxdVsMTOe4L3ZZlUjTcK4f+V1DOmEAj+8y2Ns2wm0L0n5VWk22xcWlCFLNCA3s12UPoH6pLitj92y9Y60yMnDmH8cf8ibUfv4+ltqZX5yHJCrGpab26z6FozFHHsP+PtR6fl2SZcfOP68UZCYLQ0ju732FZ7jKALgXEJSRSQlKYlziv+TGzw4wiKbg0zxm3OlnHwtSFnZ+wIBymSZMmtXls+vTpDBs2jMcff5wzz+x8SR8RFO8hZbUNnLXkdwprrM2BT5PVweu/5/Dp5kI+vnZ2j5Vl+XZ7CRa75w8xl6qxYncplfU2Ij2U6bhkdgrv/5FHsamhzXOF1RbqbU7CAjwH1QTPZFnilUtmcM8XO/h0c2GrMiqzhkfw5LmTCA8UP9vu9GlJNTK0udBvT7he4ZnRyczuxw0ixwcHcEJUCD9W1Hpd6t4eoyzxr5GdXxFj87FWi03V6L8/OUEQhN6z1mQmx0sdbhXYWmdld72VMUH+PTqX/+aXeSyP4gJK7E5uTo3jq/IaVlbXt0qK0Bq/sq12sq12Piur4YiQAN6cmEZoL674EvqO6nLx02svsnX5d+6GmJKEprp/M6adcgb71q2mrqL8sMui+EpTXUxacHKv7GsoS59+BLFp6ZTlZLX5t5VkGb+gYCYvPKWPZicIQ5uqqbyz650uBcObaGhMjpnc6rG7V9+N1kGDuasnXk2osed6gQlCZ2VkZPDHH3906bWDr5NfP3Hn5zsoMjW0yQR2qRomq4Mb39/SY/vOr7Kgk71n76ga7Qa8m9z+6XbK6tpflnigwsztn24/rDkOdf4GhcfPmcSa24/l2fMn89S5k1h+03yWXnUE8aHde2FscjjZXGthd70VtaMOqoNUqd2BLwltj45KZMuccT3a8LO7/HdsKqdEd36elyREtWmw6YuxQX5em7ABxBh0hIuas4IgCIC7/4Mvcq0928DS4lLZVGvxehNVJ8GmOgsfTk7nlxkZJPkZ8HbYXFdr4aqdOd08U6G/+u29N9m6/HvAXQJFdbnQNBVN09jw1adMOu4Epp54aq/NZ9YZ54k64r1AVhTOuvNfpEyc4n5AkpAkd/ggMiGJ8+9/lKBwUVZJEPpChbWCEkvHpU48USSFcZHjGB81vvmxn/J+YnvFdtQO0q6OTTq2y/sVhMNRW1vb6stkMrFnzx7uuusuRo4c2aUxRXpHDyg2WVm+u/TQpurNXKrGtkITOwpNjE/o/uBbWIDep+BnqH/79X6Laqz8sKvE6/y/31lCscna7QHcoSYm2I/TJ/dMKZoqh5N/7y/io9JqHI3/mAlGPf9IjePP8RFDatlzrEHfYVNKRYKzY8MxyF27V1jQYGdHnRW9LDEzNJDgHi4hEqDIvDx+OOWbMllrMvuUI6CX8Ph33ZGz4yL414EiGtT28xFk4IqEaOQh9HslCILgja/9H0La2W53vZV3iirZbW4gSJE5OTqM02LC8Fc6f4zqKOML3JngTXXPLapKnpcM96btV1bXs73OwoQeagoq9A/W+jo2ffclbQsqHrTxm8855rJrfB4zZcJkcrdv6bBe9aGiUlI54ozzyJh9lM+vEQ6Pf1AwZ91+P5UF+eRu34zqchGXPoqEjLFD6lpCEPobWTq8/FZ/nT9PzH8CcAfY7/jtDtYUr/HptVm1WYyKGHVY+xeErggLC2tz7NE0jaSkJN5///0ujSmC4j1gT3GdT4GnngqKnzQhnn99vcvj87IEExPDSIpo/yJmU151h/PXNNicV0P8BBEU749MDienbswkx9q6NmihzcEte/Mpstm5bXj/rZl9ODRNY2Otha/La7C4VEYG+HFcZAiPZHtubqpIcGp0GIFdCGSXNv5Ml1fWNl8u+skSixOiuT0tHn0HqzYO1z9S4zh3q2+NrlwaXW5+GaJTeGFsClftyHGP1eI5CZgVFsg1SdFdGlsQBGEwOjoimEBFxuzyHPSL1uuYGdq68flTOSU8ln2wIaYM/FhZy5M5JXw8eQTJ/p1rAh2gyKQHGDlgsXkMa7o0mBnqLn71U2UdCh2XHJOBb8tNIig+yOVs3oDqdHrdxlJroqow3+cx/3TNX7FbrWxf8QM52zZTXeS9kXdUcgon/OUmYoeP8HkfQveKTEwiMjGpr6chCEKjSL9IUkJSyK3N7dLr6x31bCnbQqR/JIt/WExebZ7Pr/VXRAxI6Bs///xzq+9lWSY6Opr09HR0uq6Ft0VQvAfofcziMeh6pnpNbIgfl89J5dXVOW2eawrP3brQc1MnyeuC2bZjCf3PkvzyNgHxlp7OKeXcuAhSO3lh3d+ZHE4u35HN7zVmFMn9O+rSQC9JHBsRzIqqujavUQB/WeaW4XGd3l+1w8kpmzIparC3CjQ0qBpL8ssoaLDz0riUHs2kmRcRTJReocLhS8V0OCs2vMv7Oik6jK+mjeT53DJ+qDDhAhKNehYnRnNFYhTGLmbZC4IgDEaBisKNKbE8mOX5puw/0+Jblbz7vLSax7JbN8RsCqkXNti5cFsWK2eO7tSqHEmSuDYphlv2th+0lIEgReaM2DAAHJrmLjnWQYKEDDT0Ug1poe/YGzyXW2wpOCrK5zF/fPE/+AeHkDxhEkddcCn71q3m9w/fpbbiYBPxqORURs6cQ+qkqcSPzMBaV8vqD99lxy/LsNaaCAyLYOJxC5m88GSMAYFe9iYIgjD4SJLEtJhpXQ6KA9y1+i5KLaVkm7J9fo2/zp8ZcTO6vE9BOBzz58/v9jFFULwHTEsJJ9CoYLZ5DlIpssSRI30/eeysO04ei6LIvLYqG5eqIcsSLlUjLEDPI2dNZG66533PGB6OLOG13IQiS0xPFTXk+iNN03izqMJrhpcMvFdcxe1pgydbvMHl4k8b9pLX4ABoVf/armn8VFXH+XERfF1eQ32LrL0Jwf48PTqZ9IDO19l+paCcwgZ7u1XXNODL8hquqo0mSq/jtcJyfqioxa5qTA8NYHFCNHPCu6clZaKfgQqHtcPt/poSS1wXM8WbTA0J5LUJw3FpGg5Vw68LS/kFQRCGihuSY7CpGs/mluLUtObsb4MscUdaPBcNi2y1/XN5pV4bYu632Pi5qo7jIkM6NY8L4yP4w1TPByXVrbLAFUAvS7wxIY1Axb1aalKwP04fVjw6gR31Vm7bm8/kkAAWxYQTII4Jg05kgm/ZwcnjJ5EycQq52zZ3uG3ejq1IkszeNb/x23tvcdbt93Plc69QlpOFvcFKWFw8wREHr1Vqy8t4757bMFdXoWlq42OlrP7gbXb8spwLHniMgNCwLr0/QRCEgUqvHN51nUtz8cLmFzr1msvGXUaAXqwQE3rPl19+6fO2p512WqfHF0HxHuBvULhi7nCe+2l/+7V3JThraiIxwZ0PwvlKkSXuOGkM18xL48ddpdRaHaREBnDs6NgOM9Sb6lx/saWw3cC4LMHpk4cRHTy4sowHC4uqUt1B1rAG5PrYAGwgsKkqp27KbA6It0fC3fRs29zxrK6uw+xSGRXox9gg78u/TA4nv9fUY1M1xgf7twqev1tU6bUNiQw8mV3M6hozqqY1ByG+KzfxdbmJm1Jju6WMzSnRYWyrs3qdy9ywIP6vC9nwniiShKJIuDSNnfVWrC6VEQF+RBnEYUUQBKGJJEncMjyOyxOi+LK8hnK7g2FGA6dGhxKqb/15WeVwsrPee1auToJfqmo7HRSXJYlnRiezICqU1wsq2FlvxU+ROTU6jCsSo0hpsXLs2IgQDBLYfQiMr6mpZ01NPW8VVXLf/iJeH5/K3PBgwF0X/YOSKsrsTmIMOs6Li2BMB8dcof9JGDOOsLh4TKUl7danl2SZpHETCY2J44TrbuSNW67HZq7vcNym4Latvp6PH7ybxc+8RGxaervbfvfCk5hrDgbED46hYSorYdn/XuD0W+7swrsTBEEYuBRJQZEUXJpvK4bb49A8Xz8f6uThJ3PtpGu7vC9B6IpFixb5tJ0kSbhcnf9bENGLHvL340dRZGrg440F6GQJp6qhNGZrz8+I5oHTx/XKPCKDjFwwM7nTr/vXovHkVprZlFfTnDXe9N8pyeH86/TxHQ8i9Ak/WcYgSdi9FIaXJd8bgA0EbxVWsr2DQIIKrDOZsakqf4rquJa/Q9X4d1YRbxRWYGtxd2hOWCDPjE4m2d9Imd17jU0V+KW6nkNXoTd9VD+VU8rUkECObwxu2FSV78pN7DU3EKDInBQdyggfMtgvHBbJf/PLMDlcbVYISECALPHcmORuLePiXpFQyTM5JZQ0/hyaarM/kJ7Q5drlgiAIg1GkQcflCd5XCLp87ITs6GLDZEmSODk6jJOjw7xu922FyaeAONAqo7ze6eLP27JYNj2DJfllLC2uQtfiHPLF/HIuiIvg8YykViVjhP5NkiROvP5mPnrgDlwuZ6vGmJIsYwwI5Pgr/wJAUEQkY+cfy+Zvfc/q0jQVu8XMjp+XMfP0s9s8X1mQR8HunZ5fr6rs37CWusoKgiN7bhWuIAhCfzNn2ByW7lnaa/ubGjv1sBt8CkJnqT1cqk8ExXuIIks8cc4kLpmdwkcbCig2WYkMNHLm1ARmDo/o9926g4w6PrhmNt/vKOHDDfmUmBqID/Xj3BlJLBwX53PddKFnVNidbDCZ0dCYGhJIbIsApCJJnB4Txqel1R5LqDg1OOMwakv3N68Wlvu8rcWlEt5BvFbTNP66O5cvymrarPZYV2PmlE2ZLJ+eQaReR7nDe2AcPJdlVYCX8ss4PjKEZRUm/ro7jxqnqzmI8GBWMadEh/LsmOTmZe3tidDr+HhyOhdsPUCp3Ymu8ePFqUG4XuGdCWkM8zN0OM/OeDynhKdySls95tLgq/IaNpjMfD89Q2SNC4IgdEKkXkecQU+J3XPWllODycE9m239VmGFxxIu3qi465FfvyuX7fXukl5NQfOme8vvlVQRrle4Jz2hu6Yr9IJho0Zz4UNPseajpez/Yw2apiHrdIyZO5/ZZ19IaEwsDfX1mE3VBIV1/vxS0zRWvf82v3/0LmFxw5i84GQmHPsnFJ2ekgOZvgxAWc4BERQXBGFIOTLhSJKDkymsLzysbHFftVwtVGIuIcuURYAugPFR49HJ4rpPGJjEb24Pm5gYxsTEsL6eRpfoFZlTJw3j1EnD+noqQiOz08UdmQV8XFrdXDNbAU6NCePRUYnNS7H/mhLLV+U1aKrW5qJWAeaGBzErdHA0JVI1jRyr3adt/WWJaB8CtZvrLHxeVtPucy6g0u50Z7zFR/B8XlmnAwctx1pXY2ajycxlO7KbgwYtM+++LTfh0HJ5c0Ka17HGBvnzx+yxfFNuYnV1PRoaM0ODOC0mDH8PN7E0TcOmahhlqVM36nKtNp4+JCDe/J40KLY5eC6vlPtF0EMQBMFn+ywNpPgbPAbFZSBYp3B6TM/e1M710CvDFy4NttV773Hx3/xyxgf5c2ac6E0zkEQnp3LazXdgt1poMNfjHxyC3uhHVVEBXz75UHOwvKs01YVLdVGZn8eKV//L3jUrOev2B5B9bOItK+KyVhCEoUWRFZYcv4TFPyym1NL+tVl3mhI7hcL6Qh5a+xC/Ff6G1pj6FekXydUTr+aC0Rf0++RPYWD66aefuOGGG1i7di0hIa1LCJpMJubMmcOSJUuYN29ep8cW6b6CMEA4VI3ztx7go5LqVk0kXcBXZTWcteUA1sYGkqMC/fhocjqxBndKtCId/GNfGBXKa+OH94sDlkvTWFdTz3flNWyvs3TpYkoCDD6+lyQ/AwYfLq4+LKluzrZujwtYWlzJVUnRGA9zCbgkwZM5JaC1n1GuAj9U1LKjztLhWAZZ5ozYcJ4YncSTo5M5Lz6i3YB4sc3O3ZkFjPxtO6krtzHyt+3ck1lIia11ICbXauP+/YUc/8dejvtjD/fuLyTbYuODkiqvBw8X7nrrvpYCEARBGMo0TeO+/YUcvX4vG2rN7W6jSO7mnK+PH+7xRmd3Cdcp9PQZwvW781hVXdfDexF6gsE/gIDQcBrq6ynK3MO7d9zE/g1rDysg3pp7nMLdO1n90TskT5iM1MG5m85gYNioMd20//7vhRdeIDU1FT8/P2bNmsX69ev7ekqCIPSR5JBkHpj9QI/vZ3TEaEIMIVz4zYWsLlrdHBAHqGyo5OH1D7Nk65Ien4cwND3zzDNcddVVbQLiAKGhoVxzzTU8/fTTXRpb3FIXhAHi6/Ia/qhtPzDqAnbUW/m0tJo/D4sEYEZoIBvmjOWnylp21TdglCUWRIWSFtA/GqR+XlrN/QeKKG4RiB0T6McjoxKZFRbk8ziSJHFKdCifesjsbinISwmSlspsjlbZ2u2pcboI1+k4NTqMD0urfRr3UApwRGggP1fVeSyxAu7Gap+X1TA+2Hun773mBl7KK+ObChMNqsroQD8WJ0Rzdlw4SuONgwOWBk7akEmdy9WcCVjvUnm1sJxPS6v5ZtpIUvyNfF1Ww7W7ctC0gzXQ99Q38EpBOTNCOl5lUO9SqbQ7iDF2b9kWQRCEwebVwgpezHeXAXO1czDQAX+Oj+TqpGif+kwcrvPiI7hvf1GP7+fRrGKOnBbc4/sRuo+5ppq1n77Pjl+W47T1bMN2TdPY8OWnZG38g/j0DIoy90B7gXdJYtKCkzEGeD9HGiw++OADbrrpJl588UVmzZrFM888w8KFC9m7dy8xMTF9PT1BEPrAB/s+6PF9VDdUc8pnp2Bzef7sf3Hri5w58kziAuN6fD7C0LJ161YeffRRj88vWLCAJ554oktji0xxQRgglhZXev2DlYF3iytbPaZIEn+KCuXvqbFcmxzTbwLiHxRXce2u3FYBcXAHdc/ecoD1NfU+j5VrtXUYLAb3zyfOqKegwc6SvDIeySpmaXElZmfb+msxRr3XTHGAMJ2CTpY4JSbM57keygVcGB/pNSAO7mz42nbm2dLPlbUc/8dePiitwuR0YVM1ttdZ+fuePK7ZmYNL01haXMkx6/diahEQb56LBpUOJ9fuzCHLYuOanTk4WwTEm+br0twNS30xe507u7yjuQuCIAxVTlXjP7nelzw7gWuSYnolIA5wQXwk8T3cE0ID/qi1UGzzrfyZ0Pfqq6t4986b2Lrsux4PiLdUVZhP0b7dBIaFATRnjUuyO9EhffoRHHXBJb02n7721FNPcdVVV3H55ZczduxYXnzxRQICAnjttdf6emqCIPSBXZW7+Cn/px7fT6ml1GtAHNzJal8e8L3RsiD4qrS0FL3ec2M4nU5HebnvfeZavbarkxIEoXcVNTi81vhUG7fp7xpcKnfvL2j3ORVA07h3fyHfTc/wOk5Rg52b9+bzc5Vvy69VwOpyMWPNLiTcS9EdGty5r5CHRyVwfnxk87bnxoXzRmGFx7EU3MFsgOMiQ0j1N5BvtXtsbGqQJJzawfruCu4A830jhnFidCiBiozZ5flf16lBmr/nGxp1ThdX7szBqWmtAuxNI35TbmLx9mx+qKz1OAa4gxSb66ws2LDX43sBd5DelzC32aXySn45v1bV8dXUkQTrfMvUFwRBGCp2m62U2b03bJaBFZW1pAVEd2kfqqbxe009hQ0OIvQK8yKCMXopRxGiU7hoWBSP5ZR0aX+dYXK6iO8f9+uFDqx893XqqyrR1K5WnD885upqjjjzfKpLijDXVBMSFc34o48nceyEflESsDfY7XY2btzI7bff3vyYLMscf/zxrFmzps32NpsNW4sbGLW13s8DBUEYeN7a9VZfT6GZjEyxubivpyEMQgkJCezYsYP09PR2n9+2bRvx8fFdGlsExQVhgIgz6sm22jwGxiUg1tj//6SXVdZS6/R8QaXiDsxmmhsYGdh+Vlyl3cmpmzI9NiM7lAJE6HX8XO3OQNeguamlVVW5cU8+oTqFE6PDAJgSHMCimDC+KKtpk8WtAJEGHdcmuYMTiiTx7sQ0ztq8n9LGwIaGO+ju0uD65BiuTIjilYJyPiutwaqqJPoZuDElhpMbm6VdGB/BqwUVHv9tNdzlcDz5pLQai0v1mHGuQYcB8ZbqvQTowf1vFCBLNLTTyPVQLiDT3MBzuaXcMUI07RUEQWjJrnZch1kCbF0MRC6vrOWfe/MpbLEyK1yncOeIYVw0LNLj6/7wUNu8O+kkiDd4zvoR+o+G+nr2/r6yWwPisl6P6vA9mUOSZQr37uLcex7qtjkMNBUVFbhcLmJjY1s9Hhsby549e9ps//DDD3P//ff31vQEQegDv+T/0tdTaKahEW7s2WbgQmvzf7vZ5xKxHal39d/V3SeddBJ33303J5xwAn5+rWNEVquVe++9l1NOOaVLY4vyKUCxycrOIhMV9b23FFAQOuv8+AivAUiNg9nL/VmJzeHTB8+hTR9beqWgnGKbo93aq02kFv+dGhJAucNzJp4EPJxV3NwkSpIknhuTwtXtNNJM8TewZGwKMcaDF/IjAvxYNWsMD45MYHpIIGMDjMwLC+aeEfFcMiySFVV1/K+ggmK7g3qXi131Vq7Ymcu1O3NocKncmBLntWGnDNyVWejx+S21Fg6z32enReh1nBUb7lMzNhfwlmi8KQiC0MaIACP6DrJcXcAEH8qEHerXqjou2ZZF0SHH02qni1v25vOmlxVRtg5ujh4uRYJTo8MI1ff/m/kCmMpKULv5Yll1OIhKTu2wiWYTTVUpz8nq1jkMdrfffjsmk6n5Kz8/v6+nJAhCN3Oq3leb9SaX5uKUtK4FJgXBm7vuuouqqipGjRrFY489xhdffMEXX3zBo48+SkZGBlVVVdx5551dGntIn4luzK3ise/3si67CgBJgmMzYvi/E0czMlY0/hH6l9NjwniloJwdddY2pSsUID3Qj3PiIvpiap0SbdB1mF0MEOWlnum7xZVex5BxB8LPi4+gxuHioSzvy7g0YJ/FxgGrjfTGmq16WeL+9ATOi4vgqh3ZHLC6655mW+2cteUAx0UE89zYFCL0OsrtDp7LLePdogrMjVl/uyw2fq6u44EDrfftaBEX/rKsBr0kcXtaPA1esgXd2fMWttdZ2g2M6CTJp+B0d9FJMC88mKfGJPPPtHiu25nLxlqz13+TGqeLaofL67+rIAjCUBOm13F2bDgfllS1W5ZKARL9DBwV7nsDanA3Kbw7sxANPK4i+teBIs6Ni8BfaR2UrHE42W1u8Gk/MrT72a8A8UY9BTYH0iFzUIAwnU6sHhpAdMbur3EjyTJJYyegulxUFfoWrFUMQ7t5d1RUFIqiUFraug9BaWkpcXFtG9sZjUaMPfBvJwiHa0ehiY83FlBeZyM62MjZ0xIZnxDa19MacCwOC9H+0RTUt1+atLfNT5hPWlhaX09DGIRiY2P5/fffue6667j99ttbJTMuXLiQF154oc0qKl8N2UzxVZkVnPfSWv7IqWp+TNPgl73lnP7CavaUiJprQv9ikGU+mpzOydFhrf5wJeD4qBA+nZxOgNL//6T/FBVCgJesIAkYE+jHaA+lUwAqOqi/quKuiTo5OICHsoo7bGTZpNhm59PSal4vrOCXqloq7A4u2pZFTsPBRmBNY/1SVce5Ww6QZ7WxcMM+Xi0obw6I+0oFPi6t5ueqWp/muL3O2u7jx0QG4+zFJGyXBosTowB3sGZKSECHmeoS4K8MjZqfgiAInXFP+jDSAoxtTsoVCfwVmZfHpyJ3smbybnMD+ywNXo8t9S6VZe2U1nq9sIIaHxokhyhy+/PGHez/YPIIXh+fyqgWx3MFODE6lO+mjSTJb2gHOAeSiGGJhMcndLhdU/NLX2iqiqW2hkse+w8n/+1WopJTOhhbZtQRc30efzAyGAxMmzaNFStWND+mqiorVqxg9uzZfTgzQfCN06Xyjw+2cMpzq3hnbS7f7ijmnbW5nPLcKv7xwRacPbxKaTApMZdw9ldn95uAOEB+XT4NTt9uqgtCZ6WkpPDtt99SUVHBunXrWLt2LRUVFXz77bcMHz68y+MOyZQ9VdW47ZOtuDSNQ1fzuzQNm0Pl7s938NG1c/pmgoLgQYhO4eXxqRQ12FlnMqMB00MCSPbShLG/CVQU7hgR3245EKnx6970YV6bJkXqdV7LoSgSxBr1vFpQjtxY27sjEnDRtmxsqtac1RasyNR7qNXtAnbUW7lmZy6ldodPjSc92VzbfrD7UAYPkeeFkaEk+xkobPDc7LM7PToqkfEtMtZPiQ7l5QLP3Z4VYH5EMIHdVO9MEARhMAnX6/hm2ij+l1/OW0UVlNqdBMgyZ8eF85fkGFK7cIwv7+DmcZOydnpzvFtc6dON2lqXyhfjUvmxopa3i9wlwsJ1Os6Lj+CqxGjijHpGBPhxQlQoWVYbtU6VJD+DWDE0AEmSxJxzLuSb/zzu8fmY4SNIGjeR8twccrdt8mncnC2bsFksjJ47n9TJ03jt71fTYK5vU7tckiRkRWHKCace9nsZ6G666SYuvfRSpk+fzsyZM3nmmWcwm81cfvnlfT01QejQ4z/s5fPN7mtAZ2MykbMxIPP55kJiQozcfuKYPpvfQKFpGjf9chNF9UV9PZVWsmqz+CbrG84adVZfT0UYxMLDw5kxY0a3jTckz0pXH6igqMbzHSyXpvFHTjXZFWaGR3lubicI3cXhUvl0UwFvr8klu8JMgFHH6ZOGcdncVBLD25bLGOZn4IwBnGF1ZWI0iiTxcFZRq6ab8UY9j45K5OiIEK+vvyA+ghfyyjwGgF0anBsXwfW7cn0OiGuArfHkrOkldR1kK0i4y5ocrgi9QqAiY/ayP0VyB5bbo5MlPpg0grO27KeosWa7ijsYrQL3jBjGXnMDH5RU+Zw178m1idFckhDV6rEZoYHMCQtkXY25zb9JUxj/xpSuLWcSBEEYCkJ0CjcPj+Pm4XG4NA2lk5nhh/K18ba1neNOR6uxmijAjxW1/D01lr+nev6MlySJEQGeV38JA8PoufOx1Jr49e1X0VQVSZbRNNBUF+kzZ3PiDTcjSTIvXnORz2ParVbWf/ExR198BX6BQZxzz0N88tA9mKur3HUtATQNvdGP0265k/A4UXLnvPPOo7y8nHvuuYeSkhImT57M999/3+Vl44LQW2obHLzxe47HaxENePP3HG44Jp1gP9GE2ZsdFTvYXrG9r6fRhoTEp5mfiqC4MKAMyaB4TqVvQazcShEUF3qezeniqjc3sDKzAklyl/Ex2128vjqH9/7IY+mVRzApKayvp9ntLk+I4oK4CH6trqPS4STJaGBOeJBPgYCrkqL5qKSaMkfbZpsy8KfIEI4IDfQ5ANzVQHF3VCzRgJGBflydGM0zuaXtjikD58dFEG1oe4Koahomp4s4o55Vs8bwRVk135WbsLpUxgb5c3FCJOkBfjhUjTqni28qTF2apyJBvEHPTcPb1qyUJIk3JqRx5Y5sVlbXo5PcwXCHBgGKzHNjkpkZ1rl6uIIgCEPV4QbEAUYH+jM+yJ9d9Vav/R6ezCnh+MgQxgT5Nz8WpddR4KXZdRNJktrNNBcGr6knnsboOfPYtfInakpL8AsKImPOPKKTUwEoztyLzWz2eTxNU9m2/Hvm/fkyZFkhOjmVYy+7hpVL38BU6u7JYgwMYvopi0gcM74n3tKAdMMNN3DDDTf09TQEoVPWHqjE5vSecNTgUFlzoJIF49pebwgHrStZhyzJqFr/KjejoVFqKe14Q2HQWLlyJY8//jgbN26kuLiYzz77jEWLFnnc/pdffuGYY45p83hxcXG7vTF6w5AMiof4+fa2xR1KoTcs+eUAv+2vAGhVzselaVjtLq56awOr/+9Y9AOgXnhn+SkyC6M631Ql2qDny2kj+fvuXH6vOXjxpZckLoqP4L6RCUiSxLzwID4urfaaLR6p11HlcHYpwO2pwVhn/SkyhOBYhUKbnQ9LqtFJ4NTcgWiXBsdGBvPgyMRWrzG7XLyQV8abhZVUOpxIwPzwYG5MjeWtiW0bnOhliZfGpTJx9Q6qOqgVG6PXUeZwNteJVYEJQf68Mn44Ibr2S6CE6BQ+nJzOlloL31e4g/IZgX6cHhsmyqYIgiD0gX+NTODszfu9buNQNZ7ILuHVCQdrMV44LJInsks6PL6pmkacsfW5coNL5avyGn6tqsOlaUwNCeTcuHBC9UPykmNQCggNY/qpZ7b7nKp2/qzI0WDliyce5ITrbmTnryv49e1XW5XQs5nrWf3huxTt3cOi2+5GFucUgjAgdRQQ7+x2Q51E/+vVJCERGyBWrQwlZrOZSZMmsXjxYs48s/1zg/bs3buXkJCD1QFiYmJ6Yno+GZJnqMeMjsGok71+4MaF+jF5EGbnCv2Lw6Xy1u+5bWrbN1E1KKuzsWJ3KSeMj2/1nFPV2FZvwepSGRngR4xxaN3ESfIz8OmUkey3NLCtzopekpgbHkREiwvvKxKj+bCk2uMYCrAoJow3iyq61KhSBcJ0ik8NyTyJN+gIa5zzf8akcHlCNO8XV1JscxBl0HFOXARHhAa2ukA0u1yctXk/2+oOZgBqwG/VdaysrmPJuBROjwlvsy+dLHHz8DjubKeee5M/x0Xw5JhkttRaWFNTjwbMDgtiSkjbMj7tmRwSwGQftxUEQRB6zuywIM6Ji+D9kiqP27iA7ypM1DldBDfe9Lw8IYr3iqsoaLB3eMP47LiDx5rd9VbO33qAUrsTBfdx6fOyGh7KKubV8akcG+m9NJow8IXHd628SdamP3j3zpswlZYA7nq5rWga2Vs2sOPnZUw8/oTDnaYgCH1gTHz7ZSAPldRO6VChtcnRk3FpvdFJqnM0NM4c6XtgVBj4TjzxRE488cROvy4mJoawsLDun1AXDMmgeIifnuuOHsEzyzM9bnPLggwUD03tBKG7FNVYqbLYvW6jkyU259U0B8U1TeP1wgqeyimhwuE+GErAiVGhPDgqgXjjwK013hXpAX6ke6hVOjE4gMczkrh1b36rhpsKgAT/HZuC2al2KSAuAQujQjkqPMhrkLkjN6a2XiY0JSSgwwD087llrQLiTVyN8/r77jyOiQhpN6t7cUIUFXYnz+SWIuMu2anh/tmcGRPOwxnujHQR3BYEQRj4AhUZvSTh8HT3HfcN3mqHszkoHq7X8dXUkVyzM4d1Js+lMP6WEtt8zlHndHH2lgPUNDbBbnmp3qCqXLo9mxUzMhgVKGqLD1YOWwNfPvlQ116sac0BcY8kic3ffyWC4oIwQKVFBTEmPpi9JXWoXq69zn7xdy6bk4pekVmZWY7Z5mREdBDnzkji+DGxIkYDTIudRnpYOtmm7H4THFckhZHhIzk57eS+nopwmGpra1t9bzQaMRo73/Tdm8mTJ2Oz2Rg/fjz33Xcfc+fO7dbxO2NIBsUB/nbsSBwulRd/zUJtbGjkUjUMOpk7ThrD2dMSOx5EEA6Trwd1nXJwu4ezivlPXlmr5zXg2woTG01mls/MaLf29FB10bBIpoQE8FpBOatr6pGAYyJCuDwhipGBftQ5XdyRWUCDh7MzBYgz6imzO5uDCgGyxOLEaP45PB6dRHOQWcJzORWFg0GCpsaep0WHcdGwyE69H6eq8UZhhcf9NDUM/bikisWJ0W2elySJf6bFc+GwSD4qcWcCRup1nBkb3qqmrCAIgtA76p0uTE4X4XodAd1cKi3eqMflJSAOoJPcpcRaijPq+WLqSJZXmLhnfyFZ1oM38EN0MjemxHFd0sFjzIclVR5LkWmAisYrBeU8lpF0OG9H6Md+ev1lCvfu6rkdaBqVhQU9N74gCD3m621FPPLdHgqqrR1u61Q1XlmV3eqxnEoLK/aUMTc9klcvnYGffmiXUZIkiWePeZbLvr+MCmsFWrd0ujqM+SBxXPJx3DP7Hvx04ub3QJeU1Ppc7d577+W+++7rlrHj4+N58cUXmT59OjabjVdeeYWjjz6adevWMXXq1G7ZR2cN2aC4LEvcunA0l80Zzrfbi6mstxEf5s/JE+MJEbXEhV6SEOZPSkQAeVUWj4cyp6px1Ej3hWeupaFNQLylUoeTJ7NLeERcdLYyLsifJ0cnt/tcsE7hvvQE/m9f2wstBXfd83cnpbGnvoHn80rZVd9Ag6qxrsbMDxUmTo4O5Z9p8VwQ716int9gJ0CWGeanJ9qgZ0ygPwYJXi4o55tyE3ZVY0yQH1ckRnN2bDhyJxuqVTmcVHdQrkWRYI+5wes2SX4GbkoVTWwEQRD6yu56K49nl/B9hQkVd1+MM2PDuDk1jmT/gxk5TlXj2woT7xVXUtTgINao4/z4SE6JDsUgew6ib6+zsL3O4rU2uCLBophwAj30izg+KpTjo0LZY7ay32wjUJGZHRaE3yHB++87aOLs0uCbcpMIig9SmX+sZcfPP/b4fnQi6UMQBpyPNxZwy0dbu2Ws3/dX8u9vdvHvRRO6ZbyBLDkkmU9P+5R3dr/DS9te6tO5zE+az5NHP9mncxC6T35+fqt6392ZJZ6RkUFGRkbz93PmzOHAgQM8/fTTvP322922n84YskHxJtHBRi6dk9rX0xCGKEmSuPboEdz+6fZ2n1dkiYzYYGYNjwDgsZwOlpYCS4ur+PfIRHRiaZnPLkuIIlCReTirmCKbo/nx6aGBPDIqkR/Ka3k4uxiFg5ngG2vNXLnTzPXJMdw9YhjJ/kZuGx7f7vgAz45J4dkxhz/XQwMRnvgPwsasgiAIg8VGk5mztuzHoWrNxxWHpvFxSTXLKmv5ZuoohgcYMbtcXLQtizU15uYVR5kWWFldzyshAbw/aUS7pbLeLarklsbSYZ4oQJCicMvwjm+Qjg70Z3Sg59VEDa6O89TsXWjCKPR/NaUlfP3MIz2+H0lWGHXEkT2+H0EQuk+Dw8X9X+7stvE04IP1+dy6YDShAeImWZhfGKekndLnQfGNpRv7dP9C9woJCWkVFO9pM2fOZNWqVb22v0MN+aC4IPS182ckkVVez/9+y0aR3WV8ZMndZDMp3J9XLp3e3GRxXY3n2p5N7JpGrctFhDx4/rz3mK18UFxFsc1BdGPzyYnBnutd1zicfFRSzc56K0ZZYkFUKMdEBHvNyj4nLoKzYsPZUmvB5HSR4m8kLcDIlloLD2cXA61rpDZd2r+QV8YxEcEcGe5b85jDFaJTOCI0kHUms+fVBZq7xrwgCILQ/2iaxg27c7G3CIg3cQEmp4vrduWQ4m/k+3ITtsbyJ03HoKbXbK21cOvefF4al9pqjJ31Vm7Zm9/cL8KTEJ3CWxOGk+p/+BlAE4P92VRrxtM6JgX3qi1h8Nny4zdorp6vaSvJEtNOXtTj+xEEofv8uKuUOpuzW8d0qBr3fLmDR8+aOOTLqACE+4V3vFEPUzVx01voui1bthAf7zm5sKcNnqiZIAxQkiRx58ljOXXSMN5bn8e+0npC/HScMnEYJ0+Mb3Wwt3nrStJC0CDJElY1jTv2FfBGUSW6xhsFsgT/K6hgUUwY/xmT3Gbp+JdlNfy1MdggS+763W8WVTIm0I+lk9K8NiKVJYmpoYGtHnujsBxF8hxYUCR4taCi14LiADemxHL+tiyPz0vAVTtyCNLJLIoJ59KEKOKMIptCEAShP1hrMpNt9dxk26XBljorW+usXrOvXcBXZTXcO8LOML+Dx7bXCspbNZf2pNbp4h978/l+2iiCPJRP8dUlCVG8Wljhda5XtNPnQhj4DmxYi9ZB3frDpeh0nH7r3UQnp/bofgRB6B5FNVZeX53N55sLe2T8L7cUUWJq4K0rZmI8zOPXQBeg95wo1htkZKbG9E0taKHv1dfXs3///ubvs7Oz2bJlCxERESQnJ3P77bdTWFjIW2+9BcAzzzzD8OHDGTduHA0NDbzyyiv89NNP/Phjz5dg82RwRM4EYRCYmBjGw2dO5JPr5vD65TM5a1pim7vfIwI6zuYKVGSvNUYHkqdzSnmjqBJwZz+rjf8F+KKshvv3F7XafoPJzLU7c7CrWnOGXNP2+ywNnLclq8OGY4faXGv1GlhwabC51tKpMQ+XvoPSOBpQ7nCSbbXzn9xS5q3fzda63p2jMHA8/PDDzJgxg+DgYGJiYli0aBF79+7t62kJwqC1r4OeD018OVqpuIPsLa2uqe8wIA7uQPUBi42lxZU+zcebjEA/7h0xDHBnhTdpOhs5Py6CU6LFCqbByOXo3izQ9lz21BKGT57W4/sRBOHwPbN8H3Mf+Yn//ZZNeb3nG8CHQwPWZ1fxztq8Hhl/INHLeiL9Ivts/yoqF425qM/2L/StDRs2MGXKFKZMmQLATTfdxJQpU7jnnnsAKC4uJi/v4N+p3W7n5ptvZsKECcyfP5+tW7eyfPlyjjvuuD6ZP4igeI+y2l38vr+CX/aWUVbr2wWQIHiz2IcsqwviI3phJj3P4lJZku+5qagGvFVUSVWLi7HnckuRpPYDCS7NHRhfUVnbqXkYfKjNbuzl+u3vl1Tha06EC6hzqpy8cR+nbtzHy/llmHrhAlYYOH799Veuv/561q5dy7Jly3A4HCxYsACzueNyTYIgdF5gN6/majikdEVnj0hLi6u6ZR7XJcfw7sQ0ZoUFNT+WEejH06OTeHp0UnMpOGFwiR85CqkHkzHiR44mLLbvllULguC7Z5fv45nlmT7d1D1cGvDKb1k9vlJlILhobN8Fpa+bdB1zEub02f6FvnX00UejaVqbrzfeeAOAN954g19++aV5+9tuu439+/djtVqprKzk559/5phjjumbyTcS5VN6gNOl8szyTF5bnY3F7r5QkSU4cXw8D5w+jsig7uveKgwtJ0aFMinYn20ellRH63XcnNpxw6yB4A+TmXqX9/pkDk3j16o6zogNx6VpLKusbVOftSWdBN+Wm1jQiXrbJ0aHsrPe6nFcpXGb3lTQ4PBYt7U9Gu6M+T9qLWyotfBMbimfTE5njKjvKgDff/99q+/feOMNYmJi2LhxI/PmzeujWQnC4HVsZAh6ScLRTRfyd2YW4qconBnrrit6dEQIeYUVPh0nNKCkRYPpw3VcZAjHRYbgVDVUtEGzck3wbMrCU9m3dnWPjT/h2AU9NrYgCN0nr9LC08sze3WfxaYG5j6ygpsWjObsaYm9uu/+ZGHqQp7d9Gyv7zfSL5K/TP5Lr+9XELqTOFPtZpqmcctHW3nh5/3NAXFw10L+fmcJZ7/4OyZr9118CEOLXpb4cNIITogKbZMJNiMkgO+mjyJcPzjudTWovjXsaNrO0U7DskOpmu/jNrkoPpIARW73w1ICdLLE5QlRnRrzcMUadD5nih9KA0wOF+dvPYCtkz8LYWgwmUwARER4XnVis9mora1t9SUIgm8i9DquSIjqdEa3J1ZV4/pduc0roTpzTJKAWEP395zQyZIIiA8RiWPHc8RZFwC0yhiXJO///r5ml48+cn7XJycIQq95a21On+y3yGTjlo+28vxPvRuQ7w80TeP3wt+547c7+mT/cxPm9sl+BaE7ibPVbrYpr5rPtxS1X75B1cittPD2mpzenpYwiITqdbw+YThrjxjDUxlJPDYqkZ9mZPDVtFEk+nluIjnQjA7082m7sY3Zzn6KTJIP79/XcZvEGPW8P2kEQToFCfeHptT45S/LvD0hjRT/3l39cXZcRKcyxQ/lAkrtTr4uq+mmGQmDhaqq3HjjjcydO5fx48d73O7hhx8mNDS0+SspKakXZykIA99dI4ZxUby7BqiCeyVT00l5V4LlEvBYdjEAowL9eGFsCork24n+hcMGR9k1oe/MPffPLLrtbhJHj0NWFGRFR/KESZz899s48vxLCI2NQ1ZaJG1IEoljPB9jWirYtaOHZi0IQnf6cWeJz9tOGBbS7ft/4sd9LN9VSukQKVvrUB3c9MtNXLP8GraWb+2TOVww+oI+2a8gdKfBkVLaj3y0oQBFlnCp7S+JVTVYui6PG44d2cszEwabFH9jrwdje1OKv5Gjw4P5rbqu3QCwgjsgPin4YMftxQlRPHCg/ZtSAJIEF8Z3vhHJ9NBANs0ey0el1ayqrgPgiNAgzokLJ6wPMvOPiQhmTlgga2vMHWbHe6IAK6vrOStOBEOEg66//np27NjBqlWrvG53++23c9NNNzV/X1tbKwLjgtAJOlni8dFJ/CU5hk9Kq6lwOEkw6hkf5M+ft2V1uh6rCmyts5LfYCfJz8Ci2HAmBQfwSn4ZbxdXYW+nVIsMxBn1BMgyK6vqmBMWhK6TPTKKGuzsqLeiSBIzQwMJ1nV1HZMw0I2YNosR02a1+9ysM85F0zQq8nKwWS2ExcRRlptD/s5t3geVJKqLC0WTTUHo5/KrLORVWX3evtBkxU8vY3Oo3Vp//Mq3NgDuG8ULx8XxwoVTULq5j0d/sWTLElbkrQBA65Uq7q0ZFSNJweLcXxj4RFC8mxXWWD0GxJuU1tl6aTaCcHjMLhefl9bwa3UdLk1jWkgg58dHENFLgeDHRydxysZ9VNidrQLjigTBisLzY1NabX9FYhTLK2v5vaa+1amBgjtg8HhGEjHGri0TD9IpXJ4Q1eulUtqjSBJvT0jjtn0FfFpa3eXTIJdoTCO0cMMNN/D111+zcuVKEhO912U0Go0YjYP3ppwg9JbhAUZuGR5HntXGUzklPJZd0uWbnQB1zoNHS5PTxbcVtdg1DYm2Taj1kkSRzcGt+woAd2mu+9MTWNRYm9ybcruD2/bm831FbfO4frLEZQlR3JEWL0qnCG1IkkR0yvDm77f/9GPHL9I01nz8Hk67nSknnoreII47gtDfaJrGde9s7NRrqswOnjx3Erd9tBVXD1yOaLhL14655wd+ufVohoUNrj5KDc4Glu5Z2ifB8CZ2l53P93/OpeMu7bM5CEJ3EGes3SwqyIjSQZZNeED3127sa1VmOy/+eoCzlvzOKc+t4q7Pt7OnRNSYHci211mYuWYXN+/N5+uyGr4tN/GvA0VM/X0nyyt75982yc/AsukZXJkYTVDjXX5/WeKi+EiWzcgg45BSKAZZZumkNO5IiyeuRY3U2WFBfDhpRJeyxPurbfVWqh3O5u/DFJnxQe6fh+JDop8LmBEa2EOzEwYSTdO44YYb+Oyzz/jpp58YPnx4xy8SBKHbHLA0sHDDPj4qrW7VfLOpZFdGgJEFkR0vNddJMKzxxm9+g52zt+ynzO7uY9PeZbPtkBujpXYn1+7K5fPSaq/7MTmcnLYpkx9bBMQBGlSNl/LLuW5nLpq46Sp0oKa02KftGurrWPXem3z0wJ04bEOjLIIgDCSb82vYUdT5a8NPNhb0SEC8JbtL5eT//IbaQdLiQLO7ajdmh7lP56Ch8X329306B0HoDiJTvJudMSWBzzYXenxekSTOmT64lplsza/h4lfXUWdz0nQNtLu4lnfW5nHXyWO48qi0vp2g0Gk1DifnbjlAbWPGWcusNZuqcfn2bH6akcHITtbn7ooYo577RyZwX/owLKqKvywjS56jvkZZZnFCFHPDgrCqKuOD/An1MbN9d72VX6vqcGoaU0ICmBMWhORlX33l45Iq/ro7D5mDgY4al0pNfQOTgvxJ9TewzmSmxO5s9/UyEKjInNUiG9DiUlldXYfZpTIy0I9xQYMro0Lw7Prrr2fp0qV88cUXBAcHU1LirgkZGhqKv7/4PRCEnnbb3gJqna42pcI03IFxF7BkbAqTft+J2dX+UnMFODU6rLmk1yv55Vhdapf6T9y7v5BTY8JQPBz/Xi+sINdqbzejXQO+qTCxpsbMnPCgLuxdGCo0TXPXtfPhBoqmaZTs38f6zz9i7nkX98LsBEHw1doDle2uRvJEliA+1J81WZU9Oa1m1RYHb67J4fK5gyfpw6UeTnep7tPXgXlB6A4iU7ybHZkexdz0SNpLFldkibBAPZfPTe31efWUepuTS19fT32LgDjQXELm39/s5rfM8j6andBV7xdXUdPOBTq4T3hUNP5X0Lv/rpIkEagoXgPiZpeLuzILGLd6BydtyuSsLQc4Yu1uns0p9VoqpMrh5Nwt+znmj708cKCIh7OKOWvLAY5av4e95v6VlVRud/CPPflo0O6/z7Z6K1NDA9k8ZxwXNNYLb1nhVQEMssTrE4YTpFPQNI1nc0qZuHoHF2/P5tpduRz3x14WbtjLrnrfawMKA9eSJUswmUwcffTRxMfHN3998MEHfT01QRj0si02VtfUewxeq8B+i41d5gaeyHAnVRx68q4AEXodd40Y1vzYp2XVXW7IXGp38nt1vcfn3ymq9FriRZHgg5KqLu5dGCriR2b4FBBvomkqW378Fpez/Rv+giD0jdUHKjpVxEPVoNbq6Myf/2G7/6td/OWdjdic/SOYfLgyIjIwyIY+nYMiKYwMF33yhIFPBMUPsa+0jvu+3Mn5L63hijf+4KMN+TQ4fP/wlGWJ/10yndMnJ7QJjE9ICOWTa+cQE9zz2bW95fPNhdRYHHhakaTIEi+vzOrdSQmH7YdKk9eTG5cG35Wbem0+vmhwqZy35QCvFVTQ0OIXstrp4pHsYv6xJ6/d5dwOVeO8LQdY3RgAUDkYbM622Fi0KZMSm6MX3oFv3i+u6rAW+CsFFQA8NTqJ18enMic8iHCdQrxBz+LEKH6ZOZojw4MB+HdWMQ9nF1Pvah3i2FFn5bRNmWT2s5sCQvfTNK3dr8suu6yvpyYIg16mxbfP2H3mBhbFhrN0YhqTgg+u4NBJcHpMGN9PH0WC38ELZLPrcCqTw7W7cpi/fg+PZxdTesgxsNTDKqQmLg0KG+yHtX9hcKirrKBwzy4qC/LbnIONPepY9H5+7mxxHzXU12Gu8V7eRxCE3lNttrMuy/eboIosccuCUdTZev/m1rc7Sri6sRHnQBdsCGZR+iJkqe/CeS7NxbkZ5/bZ/gWhu4jyKS08tyKTJ5ftQ5ElXKqGLMGKPWU8uyKT9646gqSIAJ/GCTDoePq8yfzzhNH8llmOw6UxMTGU8QmhPfwOet/vByq8rnx0qRq/H6hE07R+WYZCaJ/Nh7pr9n5WL/T9kio21FrafU4DPiyp5vy4yDbLub+vMLHdQ0a0C6h1uni1oJw7W2Tg9aWOsrc13LVkG1QNf0XmxOgwTowOa3fbggY7/80ra/c5F2BVVZ7MKeHFcamHNWdBEAShfQGKbxe0gY3bHRMZwjGRIRQ02Klzuog36ptLprSU5m9kV721y007Kx0uKh0uMs0NvJxfzgeTRzA1xN2HIlKvo8Tu+WaxAsR2sam1MDhUFuTx85uvkLttU/NjUUkpHHnBpYyYNhMAY0AAp998F589dj+qy4Wm+vbbqjP0bXakIAgH/bCzBKcP142BBoW/HJPOOdMSsTlVnvhxXy/Mrq1f91WwJb+ayUkdN5Tu726efjO7q3azvWJ7n+z/rJFnMTNuZp/sWxC6k8gUb/T1tiKeXOb+cG4q/dH0+V5sauDS19c3P+6ruFA/zpmexIWzkgdlQBwaf1Yd/FjUfhY8FTo2OTjAa7NGBZgY3L9qDb9ZWIG32y6KBEuL29au+6y02usHoQv4sB8tA/dT5A6TqiRA78NNqE9Lq73+zFwafFVeQ/0gWWooCILQ38wIDSRcp3jdxiBJHB0R3OqxRD8DY4L82w2IA1yeENXlgHhLKu6s8z9vzcLSmH1+QXxEh8fNc+IGfsBB8J2mqmRt+oMvnnyQN27+C2/e+lfytm9utU1FQR6fP/YAe1b/2vxYysTJXPr480z600n4BXVQg16SCImJpSz7AKpLnJcIQn9QbXH4tNjD5lS5bE4qMSF+JIb7kxwR4PUaBHouUPXUssweGrl3BegDeP2E17lp2k29vu8jE47k3tn3iqRHYVAQQfFGS3454PED3aVqZJWbWblP1MY+1LSUcLwd0WQJpiSFiQ/MAeaShEiPJXHAfcF7ZWJ0r83HF/kN9g5LvmRZbW0er3Q4OwwcmPpRUHhhZKjXTu0KcFxkMLr2GhscotTm8HrzA9w/tyqHqN8pCILQE4yyzI2psR6fl4CrEqM8Br89OTcugnnhQR0GHXyh4i5F9nmZu2zFFYnRxBr07R4/ZGB+eDDzwoPbPikMSk67nU8fuY/PHr2fAxvWUVmQh6a62pasa/x++Sv/xWm3YyorJXvLRsymGo6+5Er+8sp7xKdnIMkeLk81jdqyUj556B5euu5Sdq38qYffmSAIHUkI9/epNrhT1ThQ7i5VKUkS184f4fW6TQLCA/QoPlzPdFZmSV23j9lXjIqRy8dfzknDT+q1fU6MnMhTRz8l4jvCoCGC4kCNxc7OolqvH+g6WeLXIR4U1zSN0toGCmusOBuzhc6ZloRRkT1edKkaLD5y8HR6HipGB/pzf7q7XEjL/LWmD4zLh0WyIDKk1+flTWgHmXYy7kZkh0rzN3YYGA7VKVgPsz5rdzk+MoT0ACOe3q0K3JDsOcDSUqxR7zXADu4M+/Z+boIgCEL3uDoxmhtTYpFwBwIUDh5vLx4WyR1dKN+llyWeyEjqVPMzbxRgbY07oBFl0PHltJHMaCyn0nKbc+MieH3CcK9NsYXB5dd3XyN3mzsr3JcSKDaLmXfvvIlX/noFnz58Lx/c+09evu5StvzwNaffehdRyakASLLisd64xVTDdy88xc5fV3Tb+xAEofMWjI3FoPMtpHTmf1ezdF0eABfMTOJKLzECDai0OJiaHNYNs2xN19GF3wB0z+x7yAjP6PH93DjlRl494VX8df1rxbggHA4RFAef6mC5t+sfQbHepmkaH23I57infmXWQyuY+8hPzHpoBc+tyCTQqGPJRdPQKVKrO7lNx5rFc1M5eUJ8H81cOBxXJ8Xw/qQ05oYHIeO+UJ8Y7M9/x6bw0KjEfnd3+Ny4CI+BYnAHi8+Obbuc+8/DIjsMDJfancxeu4u9/aDppE6W+GDSCNICjO7vpYMBFL0k8cLYFI4I62AJcqMzY8O9BkwU4NToMII6uOEgCIIgdJ0kSZwRG8688CA03KuxVGB6SADnx0egdOF4q2oa/9iT1/G+gQfTOx90T/Iz8PnUkfwyM4NnRyfz37EpbJ4zjmfGJPtcJ13o3zRNY9+61bx/7z955qIz+c+lZ/PVM49QvH9v8zYN5nq2L/+h3Ubm3lTk57b63lJr4qfXX2Lrsu+46OGnOeP/7mXsvGPQG41ex/n17VdxOftPM3RBGGr89Aq3LfQtGOtU4Y7PtrN8VymSJHHBrGSv28sSZJWb6e5k8WPHxHTvgP1AoD6Q905+j3/N/RdpoWkE6AKI8ItgQcoCJkVP6pZ9JAYlcuaoM/HT+XXLeILQX4j0PyAiwEB8qB/FJs8BL6eqMSkxrMfm0OBwsTarEqvdRXpMECNj+8+y0yd+3MsLPx9olQ1eabbz1PJ9bMit5pVLp/P9jfN48/ccftxZgt2pMSExlMvmpnL0qOh+FzztDiaLg483FbCzyIRRJ3NMRgzHjYntkSVefenoiBCOjghB0zQ06NeZX5cnRPFWUSU1TmebILcCZAT6cVJ029r+00ICuDA+gqXF3uuGl9udnLtlP2uOGNsjF/yVdidfltdQZnMQb9RzWkyYx+XyCX4Gfpk5muWVtfxQYcKmaowJ9OP8+EiiDL5/rCf6GbguKYb/5rdttqngrl9+c2pcV9+SIAiCcIg6p4uPSqpYbzIjAUeGBzM60I9ztx6g4ZAVSZtrLZy+aT8fTBrRpkl0Rx7JKmZ1jbnD7TTg/gNFxBh0VNg9lxNzQbs3XEcH+jM6UGSMDTaaprHitRfZ+uM37mxtTcPlgH1rVrFvzSqOv/IvTPrTSRTt2921oLSHIPraT95j4nELSZsyg4DgUHb+stzrMNa6WnK3bSFt6ozOz0EQhG5x5VFp/LK3nFX7KzrcVpbg2RWZHD82lu93lCBLeCzZqWrumEN3koBLZ6d265j9hV7Rsyh9EYvSF7V6vLi+mAWfLDjs8YvNxVy/4nrePendQRnfEYYuERQHZFni8rmpPPztnnazJmUJgow6Tp3U+UyajmiaxpJfD7Dk5wPU2Q7W7Z2WEs6jZ00gPaZvg+M7i0y88PMBoG0/TU2DX/eV89mmQs6dkcQDp4/ngdPH9/4ke9n3O4r5+/tbsDtVZFlCAt5bn09adCBvLZ5JYnhAX0+x20mS1C11SXtSjFHPF1PTWbw9m30WW/MyGBWYEx7EkrGpGNqpUylJEpcNi+LjkmrsXjKdXLgzxj8vq+bC+Mhum7emaTyVU8ozuaU4NQ1FknBpGndlFnJ7WjzXJbefzaBIEgujQlkYdXhNfO8aEU+ITua5vDLMLQIy44L8eXpMMiMDRTaAIAhCd1hdXcel27Mxu9TmY+pnZTUouM+xDg1Iu3AfI/6xJ481R4zx+cZ0pd3Z7s1OT+walNk9946QgTC9wqIY0TxzqMhc/7s7IA7tBrCXv/JfIhKSfCqX0imSxK7ffmbm6WdTX1Pt00vqq/tPM3RBGKreuHwG//p6F2+tyfW6ClXVYHuhidLaBsw2J7IkoXZypUlXScCjZ08kLbpzN5kHuh2VO7plHJfmYnvFdtaVrOOI+CO6ZUxB6A9EULzR5XOHsy67ihW7y5oSIgBQZAmdLPHSxdPx03d/CYFHvtvDSyuz2jy+Ja+GM//7O1/99UhSIgPbeWXveG99Hoos4fJwC1eS4M01OZw7I6mXZ9Y3tuTX8Jd3N6Fp7gvYlj+X3EoLF72yjmU3zUcvlg73ifQAP36dOZq1JjMbTWZ0ksS8iGDGBnnOYtM0jX/szcPlwwmZBCyrqO3WoPgLeWU8nlPS/L2zcR52TeP+A0UEKjKXJER12/4OJUsSN6bGcXVSDKuq6zC7VEYGGBkfPPhu7giCIPSVXKuNP2/Lwq66V161POJ4a+WsArkNdtbU1DPXx+aV31WYOiwL1h6pcV5KiznJQKAi88KYZL4rr6FB1RgX5M/kEHGMGMw2ffslrS6I2vHlkw9x6ePPI8lytwXHJUmitsLdwykoPMKn1wRF+LadIAg9Q1U1XlqZxRdbi3zuY3HtOxvZXVzbYRnbpuPS4TDoZE4cH8fiucOZlBR2mKMNPNUNvt1g9IUiKSzPXS6C4sKgIoLijfSKzEsXTeOzzYW8tSaX/WX1GPUyp0yMZ/Hc4T1yRzG/ysLL7QTEAVyahtnu4j8rMnny3Mndvm9f7Sut9xgQB/e5clZ5x8tzB4uXfj2A5OGOtkvVyKm08OPOUk6eKOqo9xVJkpgdFsRsH+tqb6u3srPet1rhGmDrxqwos8vF07mlXrd5NLuEC+Ij0fdwaZ4ARWbBYWadC4IgCG51Thc/VJiocjhJ8DOwtqYeh6p5LE/SkRyrnbk+JmpXO5zIEp0OjEvAZQmRVNidbKuz4q/InBgVSlGDnYu3Z+NsMd6EIH+eH5tChlhNNCiVHMj0GhAHaKivoyI/l1FHHMm+tas6DIxLsuyuPe5lXE3TCAhxN3KPTUsnfFgC1cVFHl/jHxJKyoQpHbwbQRB6iqZp/POTbXy0saBTr9uSV9NhsLvp0udwE8knJYby7PlD93NiRNiIbh3P6rR263iC0NdEULwFnSJzzvQkzpneO1nPn20uRG4sldAel6rx5dYiHjxjQo9kqfsiyKjrKFGEAMPQaMKnaRrLd5d6vUmgyBLLdpWIoPgAsr8TzTMVYFI3ZlCvrKprVbKkPZUOJ+tM9RzpY4agIAiC0Hc0TeP5vDKezCmhQdWQcWd7N/23q4I70fA42d/QpUxxRZIIUhQeHn/wPPiqHTl8Xd42eLG93sr89XvQAzpJYk54ENckxTAvQhyrBgNZlryuYGiSv2s7x11xHRV5OVQW5re5YAgICWXCsQsJiYkhfcZslv/vBfZvWOsxgK6pKmOOPBpwJzkce+nVfPrIfWgeLkaOufQqFJ24nBWEvrIpr6bTAXHoOPtbkSUCDApmm+fSXr5ydOWAOIiMjhiNIim4NF8+1b3TNI200LRumJUg9B+ixkMfKq1toKPykA6XRo2l77qqnzwh3mtAXJGlHqm13h/YnSpldQ1Y7e4DiKp1fFBVVY0GRzfXVxR6VKDSuZs6fx7WfaVTTE7fTk5qfdxOEARB6Fsv5JXxYFYxDY030JvOCA7nzMBPlji2E8HmhZGhhOqUTvcCcWoa8UZ98/ebay181U5AvCUHYNU0fq6q49ytB3iug9VPwsCQOHZih9tIjYFq/6Bg/vzgUxxz6VVEJqVg8A/ALziEiGGJxI4YSVBkFKPnzCMgJJTZ51yIouiQ2unxgiQx4biFhMcnND+UOnkaZ/zffYTGxLbaNCgikpP/fltzAF0QhL7xwR/uUqvdyaiTOXd6EiNjgjw24eyMHYU17CutO/yBBqhAfSBnpJ/RLWPJktymkacgDHTi1nofig42drgcSCdLhPrrvW/Ug06eGM9/VmRSUGNtkyEtS+6D1uK5w/todj2jxNTAcz9l8vHGAmxO1d3QcHwsfztuJGlRgWRXmD1eIEoSZMSJLKmB5KjwIAJkGUtHy36Bx0cnkehn6LZ9D/c3+rRdqo/bCYIgCH2n3uniiRY9IrrL31JiCepEprifIvPoqESu25XbqXqsOkliUezBGi0fl1Shk2hVNsWTpiPog1nFzA0LYmpo3/XDEQ7fEWecS/bmP7xuo2kaCWPGAaD382PqiacRFBHJt/95HEeDlYa6WqqKC8nevIHVH7zNWXc8QNyIkZxzz4N8/exj1DXWDgeQdTqmLDyFeX++vM1+hk+exhXP/o+ifXuor6ogICSUhDHjkOWhsVJVEPqz3EqL11XUTYL9dNQ1dJz1PW9kFC9dPB1/g8J5L63pjiniVOHsJb+z6a4/odMNzZzQG6fdyKayTWSZ2i/d66u7jriLSP/uSxAThP6gRz8VHn74YWbMmEFwcDAxMTEsWrSIvXv39uQuB5QzpiR47basyBInT4zHvw/Lk/jpFZZefQQjY9z1mXWNjUcBwgMNvH3FLJIjB0+zpYJqC6c+v4r3/8jH5nRf4rk0jR92lnL686s5dkyM19dLSJw/c2g0HR0sAnUK1yd7/3cdGWDk0ynp3dpgE2BmaCDD/Q0eP4hlYGKQv9dGoYIgCEL/sKyytjlD/HBJgCLBSVGhZFsauGpHDk/llFBss/v0+kWx4bw5YXibmt8Knk/+b0+LJ0J/MF+mwuHsdJaeIsFrhRWde5HQ7wzLGEPG7KM8byBJhMbGMXzStOaHynOz+fqZR3E5ne7a4dBc8sRmMfPJg3ezb+1qlr+6pFVAPCIxmbPv+BdHX3IlsofVe5IkkdA4p6RxE0VAXBD6iYhAAx0likcFGth01/EoHSyRlyUI9tc3xz5mpUV2OLavahuc/PPTbd0z2AAUagzlwbkPHtYYBtnAWaPO6qYZCUL/0aNB8V9//ZXrr7+etWvXsmzZMhwOBwsWLMBsHjqNGb1JiQzkktkp7T6nSOCnl/nbcSN7eVZtJYT5893fj2LplbO44sjhXDonlecumMKa/zuOaSk+dn0aIO79cidVZnubO94uVcPhUvl+RwlHjYxqsyS56SD/7zPGEx8qApgDzT9SY7k2KdodhAD00sEPxxuSolk5c7TPjTs7Q5Iknh6djCJJHHp5pwBGWeLx0eImiyAIwkBQ6XB2y4m1DvhbSgzJfga+rTDxaWkN35TX8ER2CdN/38W7RZU+jbMgKpSfZ2Tw28zRvDNhONckRhGh17XJHI/W63hsVCJ/OeQGcbxR32GZv0O5NFhvEuf5g8FJf72F4VOmt/ucf3AIZ9x2b6syKBu//RI8FO3RVJUGcz1fPf0w5bnZrZ6rLirg00fvoyyn/QxGl9PJntW/8slD9/DmrTfw2aP3k/nHGlRVlJYThL52+uQErzdPFQnOmZGEzaUxc3i41yC3qsFR6VHN3583PanTZcC8+XJrERb74dcoH6hC/UK7/FoJiZSQ9uNWgjDQ9Wj5lO+//77V92+88QYxMTFs3LiRefPm9eSuu01BtYV31uaxfHcpdqfKtJRwLp6dwtTk7gkG33vqOEL99bz8W1arWtSj4oJ58pzJjIju/kBcV0iSxJz0KOa0OFANNiWmBn7aU+axpI2qQUG1lQfPGM/8jBjeWJ1NfrW7+/IRIyK4bn46R44cvD+fwUyWJO5LT+CKxGg+Lamm1O4gzqjnrNhwErqxXEp7jggL4oup6Tx0oJhVNfWA+5JyfkQwd44YxjiRJS4IgjAgJPkZDqt2OLg//29IieX7ChN5De6s8ENDfzfvzSfRz8B8H+qMS5KEvyJz674CSm2OVvOTgDijnm+njiS+nWPdeXERvJhf3ubxjug7G0kX+iVZUTjjtnvYv2EtW5d9R1VhPoaAAMbMPZoJxy0kIORggKW2opx9a1eh+RKoPuREW1NVnHY7y15+jvPuexRJlrGZ69H7+6M6nXz877spObAPSZLRNJXKgjyyNv1B8oRJLLrtHvQGUWJOEPrK8WNimJgYys7CWlyH/G0rsoS/Xub3/RUs+eWA13EUSSI0QM9pk929yuoaHNz4weYuNY32xOHS+H1/JcePje1440EoMSiR5OBk8uvy0XwurOamoXFexnk9NDNB6Fu9WlPcZDIBEBER0Zu77bLV+ytY/MYfOF1q8wdyYY2VzzYXcuvCDK4/Jv2w9yHLEjctyODq+SNYlVmBxe5kZEwwExK7fidP6Jqs8voOa7xLEmSXm7niyOEsnpuK2e5CJ0v46cUyzsEgyc/A31N7/0RpakggH09Jp8TmoNzuINagJ8bYd70EBEEQhM47JiKYCL1ClcP3DNamMika7izrS4ZFMjUkgGe8NKxUgP/klvoUFAf42+5cyuyONgF7DSizObgjs5DXJ7TtDzMmyJ9Lh0Xypo+Z6U1zWxAV4vP2Qv8myTIjZ85h5Mw57T5fV1nB8ldeIGuT9/rjHdI0Sg5k8uwlZyHLMqrLhSRJBIaFY66padzE/RusNfaAyd+xjV/ffpXjr/jL4e1bEIQu0ykyby+exY0fbObnveVIkvu4pmoQEWCgvN7G9kKT1zEkINhfx1uLZxJgcIenbvt4Gxtzq7t9vuYhnCkuSRJXTbyKu1ff3f7zSO0Gy2VJZnL0ZM4Y2T3NOgWhv+m1oLiqqtx4443MnTuX8ePHt7uNzWbDZrM1f19bW9tb02uj2mznyjc3YHeprQKlTWU1Hv9hL+MTQpk/Krpb9hdk1HHC+LhuGUvoGl9qt2vawe0kSSLIKHrVDkZlNgcNqkqcUY9B7r2GLHFGPXEiGC4IgjAgGWSZR0clcfXOHKDjBpcS7p4Vk0MCiDPoOScugpGBfty2N99rg0sXsLqmHotLJUDxfozKNDfwe43nciYu4PsKE0UNdoa1ky3+8KhENtSa2Vnf0MG7cVMkicsSxKq5ocBiqmHpXbdQX+37TZMOaRqqy9X4vxr11VVeNtXY8dMyjjzvEvyC+sfKWkEYikID9Lx++UwOlNezcl85TpdGQrg/NyzdBOCxvEpiuD/JEQEcPyaWs6YlEurvvgbKr7Lw/Y6STuYy+yY9Zmh/Vpw+4nSK64v579b/okgKqqYiSzIuzcW4yHEcl3wcS/cspdzqXiUWqA/knFHncP3k6zEoPbt6WuiaS2/Wofh3T4KmyyrBdd0y1IDSaxG966+/nh07drBq1SqP2zz88MPcf//9vTUlrz7amE+D0+Uxc1iRJV75LavbguJC35uQEEp0kJHyepvHbRRZ4tjRQ3PJ1VDwTXkNT+eUsqPeXRYnVKdwybBIbkyNJfCQ5k9Wl8onpdUsLa6kxObO7j4/PpxzYiMI0ImVA4IgCEPRqTFhvCkP518Hisi0eD6fAHfQfHpoIE+NTm71uF31bWGzQ1Whg6D45jpLh+NowPLKWi5pJ5gtSxKTgwPYXd/QYWkYowSvTxhOir8oZzEU/PHVp5hrqtqUQ+lNLqeDoszdpE2Z0WdzEATBbUR0UHPp16d+3Ov1o0ECdLLE0quOaPPcqv0VPRIQHz8shHHDhvZqfEmSuG7ydZyUdhKfZH5CXm0egfpAFqYupN5ez5u73mwOiCcGJXLp2Es5b/R5SKIsmjCI9UpQ/IYbbuDrr79m5cqVJCYmetzu9ttv56abbmr+vra2lqSkvmkyty6ryusHuUvVWJflOXuhL5isDj7eWMDX24qob3CSERfMn2elcERahPgg84FOkfnb8SO5+/Md7T4vSXDhzGSig8XFXl9wqhomp4tARcavgyCAL6wulfeKK3m7qJJCmwNFgmqHq1VDF5PTxQt5ZayqrueTKenNGXk1DidnbznAjnorMqACRTYHm+ss/HNfIdNDAvhbSiwLoob2iZcgCMJQtCAqlD9FhnDFjmy+rfC+6rGwsW54S+OD/fmgxPs+4o16Qny4Aetrfe8HDhRxdEQwye0EtI+LDOHdYu/nvMl+Br6ZNpJog1jtNBRomsb2FT80lzLp07l46/InCEKf+GpbsdfAtgbkVFpwqRrKId03nT3wNy1L8NjZk7p93IEqJSSFm6YdjLv9Z9N/+N/2/yG3aBdeWF/Ig+sfZHfVbu6bc5+IJwmDVo/WBdA0jRtuuIHPPvuMn376ieHD29YrbMloNBISEtLqS/DNgfJ6/vTUr/z7611szqshs6ye73aUcMH/1nLPFzvR+jCLYyC5aFYyNx4/EllyHzx1stR8oF40OYG7TxnbxzMcesrtDu7OLGD0qu2MW72DESu3cdWObHY1ZnN3Ra3TxembMrkzs5A95gZqnS6qG2vAHvqXogJb6yy8UnCw2dhtewvY3bj/9i4HN9RauGR7Nk9kdxDVEARBEAYlSZIY7u/X4Xa/VtdTZXe0euzs2HCMsoSny08JuCIhyqcL1LlhQfiydsniUnkoq7jd5xZEhjLc3+B1nEdGJYqA+BDidNixWTyX5ektkiwTN2JkX09DEIQWik1Wsis6/nzQKxI1Fjsfbsjn1VXZ/Ly3DJeqMTkxrNvnpGrw/M+ZzaVwhYO2lW/jf9v/B4Da4sq2ac3ap/s/5deCX/tkboLQG3o0KH799dfzzjvvsHTpUoKDgykpKaGkpASrtevBrN4yKy0Cb9caiiwxK61/NAx1qRqLX/+DSrO9VUCv6UP/7bW5LF2f1zeTG2AkSeLG40ex+v+O5eYFGZwzPZFr56ex7B/zePq8yRh0vVdfWoBSm4MTNuzjtYIK6l3ug7QL+LbCxIkb97G2pr5L496XWcjOeisaHdd8BXfg+7WCCgBKbA6+Lq/BlzZqT+SUsMHk+0Vjmc3BawXlPJ1Twqel1VhdfZ+BJQiCIHSNRVV9Ckg/n1fe6vswvY7nx6QgQ6vXS41fR4YHcXWSb+X7Yox6zo4L9xhgb6ICX5XXYHK0bUKmkyXenzSCxMaa401nQkrjfB4elcixkSKRZSjR6Q3oDH27clKSZTLmzCMwLLxP5yEIQmtfbCnq8JgDkBDmz6yHVnDbx9t48JtdXP76H8x9ZAU1VjsTE0LbZJAfrm+3l/Ds8n3dOuZg8MHeD1Akz2criqTw3p73enFGgtC7ejTCt2TJEkwmE0cffTTx8fHNXx988EFP7rZbnDMtCT+d4jEw7lI1rjjSe+Z7b/l1Xxm5VRaPdz4l4OWVWSJbvBPiQ/25/ph0Hj5zIrcuHM3I2OC+ntKQdN/+QkpsjjYBaJcGDlXjul25uDr5e13lcPJRabVPQe2WSuwOGlwqG0zmDuuqNlEkeL2wosPtXJrGfZmFTFmzkzszC3kyp4S/7Mpl4uodfFba/Z3XBUEQhJ43zKj36XjxUUllm2PZKTFhfDVtJCdEhaI0nosm+xm4P30Y705M61QT6IdHJZHoQxNnlwbFh2StN0nxN7Jy1mj+OzaFU2LCWBAZwg0psaw7YgyXi8aaQ44kSYybfyxeM4h6bu8ARCWlcNzia/tg/4IgeFNeZ/PpoyGn0tJcKqUpjFFaZ+Py1//gmvlphAfo6ea4OK+uzsZq7+xV4OBUbinnhS0v8F32d7g0zz8Tl+Zib9XeXpyZIPSuHq0pPpCDsOGBBl65dDqL3/gDp0vF1fhWFFnCpWrcujCDozNi+naSjVbvr0QnSx7rb2lAbqWFsjobsSEdL+UVhP6g0u7kSy8Z2SpQbHPwc1Udx3ciQ21nnRVHFz6bFAkMstSp6z+XBptqO84U//eBIl4qKG/OWnc2/k+dS+Uvu3IJUmT+1E31ycvtDj4ormKPuYEAReaEqFCOjghGFnXiBEEQutXZceEeS5K0VO5wUWZ3EG80tHp8akggr04YjqppODWtU4HwlgIUmUsTongwy3uNV4BwnedLA6Msc2ZsOGfGisxcAWacdhZ7Vq/slTIqMWnpuBwOLDXVBEdGMeG4Exg3/1j0RnFdIwj9SZXZzo7CGrpapUTTQEXjvfX5fPf3eby1JocPN+RTY3EQGWQgPMBAtcWOhITJ6qDe1nZ1kzdmm4vNedXMSR/aN3N3V+7myh+vpN5Rj6p1fPveqBM91YTBq1cabQ5Uc9OjWHHzfN5dl8eyXaXYnSrTUsK5eHYKU5P7zwWBr/G9AXyPQuinChvsvFNUybY6C0ZZ5vjIEBbFhjc3pDwcWVZb880oTxRgT721U0HxrmQcKBKcEh2GLEnMCAlEAZ8zzY0dBDHKbA5ebhEQb89DWcUcHxly2A1OPiiu4ua9eaha4zJ8Cd4qqmRCkD9LJ6WJerCCIAjdKN5oYEpIAJtqLR1uq2vx+a5pGhtqLWyts6CXJI6OCCalnQaYnXF6bDgPegnQy8CM0EBifcgoFwSA0Jg4zn/gMb56+hGqCvPbbiBJhEbHctwV12Ex1VBXVcGaj5aiunw7g5JkBU11MXLmbE786y3o+7hciyAIbdmdKst3l5JdYcbmcPHuujwqzW0bSHeGqsGq/RVIEty8IIObF2S0u91Ty/bynxX7Oz2+bYiXp3SoDm5YcYPPAXFFUliYurAXZiYIfUMExTuQGB7AP08YzT9PGN3XU/FoRmo4r63O9rpNfKgfMcHiZFLoPu8XV3Lznnw03FnbEu5a349kF/PR5HQyAtvP3lE1jfUmMyU2BzEGPbPCAlHaCfb6ElhXAf9OBuAnhwQQIMtYVN9OiGRARuKGZPfKkBijnkWx4XzuQwkWGTixgwzvbytMXrMpNGC3uYEsq40RAV3PiFpZVceNe/JaB98bv9lVb+XPW7P4Yfoo0VlcEAShG92WGsf527I8Pi8DGYF+ROndp+T7zA1cszOH3eaGVjVZT44O5ZnRyQTpfKlS3laSn4FLhkXyVlFlm5uwTbXK/zk8vktjC0NXVFIKlz35Xwp2b2frsu8o3LMbR4OVwLBwxh/zJyYefwLGgMDm7YeNHMP3S56mrqK8ndEkQCM2LZ2o5OH4Bwczeu58YoeP6LX3IwiC75bvKuXWj7dSbXF4XbXeVTUWB1FBnuMXVx2Vxgs/7e8wiaolWYKx8UO7B8bPeT9TZi3zaVsZGYNi4PyM83t4VoLQd0RQfBAI9tehVyQcHo4IEnDFkcORu7solzBkraup5x+NAfEmTf9faXdy7pb9rD1ibJuA9Y8VJu7YV0CB7WDN0nijngfSEzg1JqzVtmMC/Ugw6im0tV/ftMnCTpYVCVQUFidG8UJemcfsbAnQSeDQIFCReXlcKhOCA5qff2RUItlWm9fsPxnwk2UuSYj0Oh+Tw4UiHSyZ4m27w/Fsbiky7We4u4Bt9VZ+q65nXoSony8IgtBd5kUEMzrQj33mhnbri6vAX1NikSSJogY7p2/KpNbp/qRueVj4ptxEliWT5TMyulzu6sGRiegkiTcKK1BxBwdcGoTrFZ4Zncyc8KAujSsMbZIkkTR2IkljJ3a4bfL4iVz13Kvk7thKUeYeSjL3UlWYj8vpJDYtnckLTyFlwmRxg14Q+rl1WZVc/faG5pXo3R0QV2SJmBAj9TYnOwtNFFRbCTTqOCItgrAAd6mxYD89Vxw5nJd/854c2HLM48fEDPlyspvLNqOTdDi1jkvPBBmCeP645xkWNKwXZiYIfUMExQe45btKWx2Q2nPqpHgun9s/moIKg8N/88qaL6YP5QJK7U4eyy7m3vSE5sd/rDBx6fa2Jy3FNgdX7czhJVI4PeZgWSJZkrgpNY6b97azJBd30Pms2HAS/QztPu/NbcPjOGCx8V2FqbkUiow7OJEeYOTYiGAkJMYG+XNaTFib4H6wTuHzKel8VVbDkvxydtZb0aBVVl+gIvPOxLQ2NWIPleJv6DAgLgEJXXifTcwuF6tr6r1uo5Pg+wqTCIoLgiB0o421FlL8DOy3NLRaFaQ0HkNvSY1rrtH9ckE5tU5XuzcvNWCXuYGrduTwyvjULgUNdbLEg6MS+XtKLN9WmKhzukgLMLIgMhR9FxInVE3jp6o63i2qJNdqI9Kg45y4CE6LDsOvG8qoCYOTJMukTpxC6sQpfT0VQRC66Mll+wA67FPRFYoscVR6FDe+v5mf9rReVaKT4YKZKdx58hj89Aq3njCafWX1/LK3vdUnB8kSJIT58+9FE3pgxoPTrdNv5ZyMc/DX+ff1VAShR4mg+ABmd6rc9vE2NM3zAWlSQijPnDdFZIkL3UZrvAjuaKnakvxyJgQHcGZsOKqmcVdmofv1Hra/J7OQk6PC0LX4Xb0wPoJyu4NHs0uQOFgP3Km5M8Qfy0jq0nswyDKvjk9lZbX7Yj6vwU5048X8SVFhPgUHDLLMWXERnBUXgcnh5KPSatbU1CMBc8KCOCcugmAflrmfEBVKiE6mzqm2+7NRgGMjQw6rzqvNx+yNBh9LygiCIAgdezy7mCdzSpsD4E1kYGFkKLelxTE68ODF5oclVR2W5fqmwsRnZTWH1ewyxqjnsoTDazLmUDWu3pnNdxW1B28um+G36nr+m1fGx5PTiTKIywxBEITBprzOxvrsqh4ZW5El/PUKv2dVYG8na8ipwttrc9lbWssHV88mp8LMlrwaZIk25SibHosJNnLBzGQWzx1OaIDomzEzbibv7H7H4/MSEknBSVw89mKxakcYEsTZ6gC2YncpVRbvjSy2FZmoMNuICR7ay4SE7uX0sWvrzXvy+FNkCHvMDeQ1eP9dLbU7WV1Tz/wWmcqSJHFjahznxEXwYUkVuVY74XqFM2LDmdiinElXyJLE0REhHB1x+HXlQvU6rkyM5srE6E6/1k+ReWxUEtftym3OVm+iAIE6hfvSD2/JWphOIVqvo9zheZmcS4MxgSITQBAEoTv8UGHiyZxSoP1VVSur63jGmNzqMV/LZC3JKzusoHh3eDy7mO8raoGDZbmajl+Z5gau35XLB5NFLWjBO9XloiI/F5fTQWRCEgb/wzu3EwSh55ms3ktbdpUEzB0RSX6VhZxK7w2q12dXs+DpX3GqUNfgbLc/kyRJnDl5GE+dN7lH5jtQzUucR2JQIsXmYlxa2/MODY3Lxl8mAuLCkCGC4gNYdqUZRZZweckC1TTIr7KKoLjQbSRJYnyQPzvrre3WR22pQdX4tLSaSL1vHzUlHuqHJ/gZ+EdqXCdnOnAsig0nWKfwUFYRO+sbAPeJ4XGRIdyXnkBawOE1yZUlicWJUTyeXdLuv5kEGGSJc+L6NsgiCIIwWLyYX9bmRmcTFTC7VD4sqWp1MzXeqG/Vc8OT7fVWLC7Vp4bUPcHiUnmtsMLjyi8X8Gt1HXvNDR6bbgtDm6aqbPjmczZ8+QmWWhMAit7A+GP+xFEXXIoxQATHBaG/ig0xIkl4Ld/aGTOHh3PjcaNIiQqkrLaBM/77u0+vyywze33epWp8ubWIu04ZS0Rg18tQDjaKrPDC8S9wxQ9XUGmtRGs8miuSgktzcX7G+Zw98uw+nqUg9B4RFB/Agv30qD6URQj2E//MQve6MjGav+/J63A7nQT7LQ2MiQ7zadxY49D9XT0uMoTjIkPIttiodjpJNBqIOYySKYe6NimGnyrr2FhrbpONrgHPjk4mzMebF4IgCIJnmqaxrsbc4Y3jNTX1rYLiFw+L4uHsYt/20SOVXH2zs95Kvcv7u5OAVdV1IigutGvFa0vYuuy7Vo+5HHa2Lf+O4sw9nH//o+iN4ndHEPqjYD89EQEGKs3eVwH7yqXCnHR3Sa9VmRXdMmYTp6qxt6SO2SMiu3XcgS4tNI0vFn3BF/u/4Pvs76l31DMyfCTnZZzH9NjpIktcGFJEBGQAWzg2lnu/2OHxLq0EDI8KZGRMUK/OSxj8zokLZ3mlia/KTV63U4EgRWF6aCBJfgYKGuweL+NjDDqODPO9yWOd08WHJVV8VlqNyeliZIAflyREMj88eEAfyIcHGBnO4WWGt8dfkflw8gj+V1DOawXllNidSMDREcH8LSWWWWHic0IQBKEvLU6M4rXCckrtnktdScDYQD8ClY57VnSXPKuNj0qqKbY5iDLoGOnj6qW+C9sL/VnJ/n1tAuJNNFWlLCeLrcu+Y/opZ/TyzARB6IimaSzbVYrTx35FvtiUW83+sjq+3FLEq6uyu23cJgbdwL0u7EkhhhAuHnsxF4+9uK+nIgh9SgTFB7CYED8umZ3Km7/ntHvhoQG3LMwY0AFCoX+SJYmXxqWyc90esqw2j9u5NDglJgxZkvj3yAQu256NRPsXyg+kJ7RqsulNrtXGmZv3U9S4zFwDsiw2vq0wcU5sOM+OSUYWv/dt+Csyf0uJ5a/JMZhdKgZZwiD3zfJ7QRCEwUqSJGaFBbK+xuy1cebsQ25GBusUvps2iiPW7sLuId6gAXstDVy3M4frk2MY34X+GlpjNkVH54eapvFgVjEv5LlLwUiSe/8ujebmmh5fC0wPCez03ITBb/tPPyLJCprq4TdI00RQXBD6IU3TuPuLHbyzNg8fL9l8Gxe4/PU/KKyxtlsb/HCE+usZnxDavYMKgjCoiGjIAHfXyWP486xkJMndYVkvS0iAUSfz8JkTOGlCfF9PURikZEnikVGJeDonkoE/RYYwLsjdvHFhVCj/GZ1EiK71x06cQceLY1NY5GPTME3TuHR7NiU2BxoHA+xNl1Yfl1bzYn55Z9/OkCJJEkE6RQTEBUEQesi1STEeg8YyEKjInBsX0ea5YX4GPp8yksDG87n2ODX4sryGEzbu48cK7yu2mmiaxpdlNZy8cR/DftlK4i9bOXfLfn6urPX4mufzyng+r8wdCG/cb1PTUBd4nJ8iwZTgACaHiLrQQls1pcWeA+KNasvLemk2giD46qONBbyz1l0+szuD1xJQUN39AXGAq+elYdT13soqQRhqVq5cyamnnsqwYcOQJInPP/+8w9f88ssvTJ06FaPRSHp6Om+88UaPz9MbkSneBfU2J59vLmRTbjWyLDE3PZKTJsT3yQeuTpH59xkTuO6YdL7ZVkS1xUFyRACnTIwn2K/76hELQnvmRQTzwtgUbt6TR4OqoZPcJVNcmrtG9otjUwD3xfgLeWU8ml2CU9NQcG8nAefHR3J6TJjP+1xdU88ec4PH5zXgpfwyrkmKRhHZ4oIgCEIfWBgVys2psTyZU4oiHQwmy4BRlnlrQhohHs4bp4YG8vsRY3mzqIK3CiupcLQtp+LS3MfQa3fmsm3uOIK8nINqmsa9+wt5uaACGZqD3Kur61lZXc+9I4ZxXXJM8/arqut4NreU36rrfXqvLRuKykCMQc9L41J8eq0w9PgHhyDJMprquS69MVDcUBH6D4vFwpYtW8jKykLTNJKSkpg6dSohISF9PbVeU1lv4+7Pd/TI2D1Vauu86YlcN39ED40uCAKA2Wxm0qRJLF68mDPPPLPD7bOzszn55JO59tpreffdd1mxYgVXXnkl8fHxLFy4sBdm3JYIinfSmgOVXPXWBuptTpTGdUMfbyzgoW/38NbimYyJ75uDY0KYP1fPa/uh71I1ftxZwtL1eeRWWogINHDW1ATOnJpI4BBuaih0nzNjw/lTZAiflVaz32IjUJE5JSasOUMc4I2iSv6ddbB5WFN+kAY8k1tKoCLz15RYn/a3uroeneTOWPOk1O4kx2pjRIBo0iQIgiD0jVuHxzM/PJjXCyvYVGvBKEucGB3GJcMiSfAzeH1trFHPLalxLC2q8riNBlhVlU9Kq7k0Icrjdj9X1fFygbt5WcswZNOx+P4DRcyPCGZskD/vFFVy6958j1ngh+7/ovgIdtRbyW+wE6HXcW5cBBcPixSNmwWPMubOY++a3zw+L8kyY+cd14szEgTP8vLyePfdd7HZDpaLzMrK4rfffuPss89mzJgxfTi73nP7p9uwOTtqH915LW+qdrcF4+KQu7POiyAIbZx44omceOKJPm//4osvMnz4cJ588kkAxowZw6pVq3j66adFUHwgyKu0cPkb67E3HhBcLdb4VNXb+PMr6/j55qMJDegfGdo2p4tr3t7IL3vLkSX3Mqf8Kgtb82t45bdsPrhmNnGhImgoHL5gncIlHi7I7arK49nF7T7X5JncUhYnRnVr4zDR4EsQBEHoazPDgpjZxUbG1Q4XJXaH120UCbbVWbxu82pBudca4IoEbxRW8PeUWP65N79VabKOTA0J5InRyT5uLQgwYupMYkeMpCz7QJtscUmWMfgHMPXE0/podoJwUH19Pe+88w4OR+vPYU3TcLlcfPTRR1x77bXExMR4GGFwKDZZ+XGXbyWNOhPkVmQJf72Mxe7q9tIpiizxzrpcjhvjW9KVIAgH1da2Lq1nNBoxGn1rst6RNWvWcPzxx7d6bOHChdx4443dMn5XiIKynfDmmhwcLq3dD22XBtVmOx9vKuj9iXnw1LJ9rNznrq3cNOemC52CGis3LN3UZ3MTho51NWaqHN5rR5pdKiur6nCoGp+XVnPB1gMcu34PF2/L4tvyGlzawT+6maGBXrPEASL1OlL8uueDWxAEQRD6gtHHDLeO+kNsqvXe8NOlweZaC+8WV3Zidm4Zga2TK6ocTp7MLmHGml2MWLmNo9bt5uX8Mswu7+cBwtBhMdUQkZDY3PC1pdCYOM677xFCoqL7YGaC0NqmTZtwOBzt/q42WbduXS/OqG9szfetdwXAiRN962cmS/DnWcl89/d5LBgX17wCv7u4VI2scnO3jikIQ0VSUhKhoaHNXw8//HC3jV1SUkJsbOubVbGxsdTW1mK1WrttP50hMsU74dvtxa2yww+lAd/vKOaKI4f33qQ8sNpdvL0m1+NdV5eqsSG3mh2FJtGRWehRtT5eCJfZnSzanMnGWktzlsFecwPLKmuZGxbE2xPTCFBk5kcEk+ZvJNdqa/ciXwKuTIxCL5bLCYIgCANYkE5hRkgAG2stHjPvnJq7qbUnRQ12TD4seTfKErvqrV6D5y0pQHqgH1NbNNPMs9o4fdN+Su2O5vnut9i4d38R7xdX8dmUdEJFWZUhra6ygnfvvAmLqQbaCTQOGzWa0BiR2Sn0D/v27fMaEFdVlb1793Lqqaf24qx6X2cC1hEBesIC9NRYPK9yUmSJ0ycN44HTxwPwl6NHsGxXKRK+r1IKMuqot7Xtt9FSgF402BSErsjPz2/VM6G7ssT7K5Ep3gk2R8cXFRZ7/8iE2V1S2+FcZAnWZXuuVSkI3SHN37cP0a/KathS614C3vSX1vQbvKamnvv2FwIgSxJvTBhOmF7X6gOs6bRnYVQINySLCypBEARh4PtrSqzHgLiCO1P76Ihgj6+/K7OwwyCDBJwQFYqfLPt0YSADforMc2OSkVo0tL5uVy5lLQLicHCF4l5zA3dnFvowujCY/fLW/7CYajw22dy18ifeu/tWbBbvJYEEoTeoXprBdmabgW5Gajh6xbfA+K7iOv48KxlvcXSXqnHm1MTm7ycmhvHyxdMIMLiv5nSyhK5xAMMh+1UaM8yvP2YEUgdT2lNSxy0fbcXaT+IzgjBQhISEtPrqzqB4XFwcpaWlrR4rLS0lJCQEf39/D6/qWSJdoxPGDgthzYEKXB6uLhRZ6jdZ115uah+ynai8LPSsMUH+TA72Z3td+xloMpDoZ2BVTb3HMVTgveIq/i8tngi9jlGBfvw6czTvFFXwSWk1tU4X6QF+XJoQxcnRoSgdnSUNQpqmYXapyJJEgCLudwqCIAwGC6JC+ffIBO7OLETGfbO4qT54qr+RpRPTkD0c88psDr6vMHUYFPeXJS6Ij2RldR2fl9V43VYCzogN58aUWEa2KJ2yo87CxlrPgUwX8GlZNfekJxBlEJcfQ5Gl1kTm+jUeA+JNKvJzWfX+Wxy3+NpempkgtGWz2YiIiKC4uNjj9bIsyyQmJrb73GASFmDgvOlJvLMuz+t2EuCvl7l87nA+3lhARb29zSp7WYIj06OYmx7Z6vHjxsSy/s7j+WprEbuLazHqFY4fE8uM1HD2l9Wzt7SOAL3C7BFR+BsUaix2XlqZ5TUjXQM+3lhAYY2FpVce0eomriAIfWP27Nl8++23rR5btmwZs2fP7qMZiaB4p1wyO4VV+ys8Pu9SNS4+IqUXZ+TZmPhgAgyK12xxVYMj0iI9Pi8I3eXxjCRO27Qfu6q2CowrgCJJnBMXzpM5pZ5eDoBD09hgMrMgyn3jKcqg48bUOG5Mjeu5iR/C5HDyYUk1a03uAP6csCDOiYsgRNd3y/NUTWNpcRUv5ZeRabEBMCU4gL8kx3BqTFifzUsYOJYsWcKSJUvIyckBYNy4cdxzzz2d6iQuCELPuTIxmgWRISwtrmKvuQF/RebEqFBOiAr1Wipsv8XmU8Ozi4ZFEmnQcVJ0KMl+Bgob7G1uYkuNX59OSeeIdhqHbvISEG/i1GBnvZX5XjLbhcGrpqS4w4A4AJrGjp+XcdSFl2Lw65usMWHoslgsrFixgq1bt+J0ei/Poaoqs2bN6qWZ9a27ThnL8t2llNTavG53/JhYooKMfHztHP7x4RY25FQ3P6fIEmdNTeCB08e3G6AONOo4f2bbxs0jY4MZGdv6uBEWYCApzN9rULzJmgNV/LK3jGNGi5XEgtDd6uvr2b9/f/P32dnZbNmyhYiICJKTk7n99tspLCzkrbfeAuDaa6/l+eef57bbbmPx4sX89NNPfPjhh3zzzTd99RZEULwz/jQ2lvNnJPH+H/mtal7JkjvA/I/jR/WbTPEAg44/z0rm1VXZ7dYVV2SJiYmh/Wa+wuA2ITiAb6eN5KGsYpZX1jb/7RwZHsztafHstzT4NE5frmtYVV3HpduzsbjcF3QS8G25iUeyinlnYhqz2gkSeKNpGpvrLHxcUk2Fw0m8Uc/5cRGMCfL9AlDTNP6xJ48PSqppeWq5tc7CVTtzuMUcxy3De++mgTAwJSYm8sgjjzBy5Eg0TePNN9/k9NNPZ/PmzYwbN66vpycIApDsb+T/0nxrYNbE34dVQxI0Z3wbZZmPJo/gvK0HyLHa0UnulYcqoG+8gf1wVjE1ThcjA4xcPCyKeeFBSJLk8wotH1fgC4OQwc+v440aOe02akqKiUlN68EZCUJrdXV1vPjii5jN3hs0SpKEpmkceeSRjBgxopdm17f89ApvXj6Tk55b1W6PNUWC0AADZ05zZ84nRQTw8bVz2FtSx7aCGgw6mdkjIokJ9v1zwJtqs53tRbU+b3/Th1vZeNefkEXPKUHoVhs2bOCYY45p/v6mm24C4NJLL+WNN96guLiYvLyDq0yGDx/ON998wz/+8Q+effZZEhMTeeWVV1i4cGGvz72JCIp3giRJPHzmBKYmh/PKqiz2lbqzRSclhnHN/DROGN+5i5WedvOCDPaU1PFbZkVz4L7pMDAs1I8XLpzap/MThpYxQf68PTGNCruTcruDKIOOaIMegDAfGqEowOTggA636yy7qvJVWQ1Li6sotjmIM+q4ID6S02LCMMrugEJ+g52LtmVhV7XmwHzTf80ulQu2ZvH7EWOIM+p92qdNVbl+Vy5fl5vQNf1tSvBSfjmXDovk4VGJHpfDt/RdhYkPSqpbzQcO1mR/IqeEBVEhTOyBn5sweBzaIOrBBx9kyZIlrF27VgTFBWEAmxjsT6xBR6ndc7ajDPwp8mCCRIq/kVUzx/BjpYkfK2qxaxrJfgY+LKni3eKq5qSQ/ZYGvi43cU5sOM+OSebI8KAOm6QFyDJTQsTxaKiKTEohNDYOU2mJT9sret/OqQShO9jtdl5++eUOA+KKopCSksKsWbPIyMjopdn1DxnxIfzvkmn85Z1N2Jxqc01vVYPwQANvX/H/7d15eFNl+j7w+2Tvvu+0pWUpe6FFyqooCDIMA+rghop8ERXRwcEVR8UdRkdxHWEcAXFD0Z+oDIKIAiqVpbTIIpWtG93pkq5Jm7y/P0oLpUmbtE1Om96f68oFTU7S+ySQN+fJe543Cd665v9v40K9EBfa+WcHVbUyrllSWl2HL1PP4vpE1293Q+RMEydObLUl87p16yzeJzU11YGp7MOiuJ0kScINl0XihssiUWM0QaEAtDK2TmiNTq3E2jsuw7dH8vHJvixknquGv4cG1yVE4K+JveCl44fNnuBsrRH7yqsgAIz0dkeUjQtfOkqgRtWin2hvNy2u8vfCrpIKi33HlQBmBPsixMais60q6k246dAppOiroUBDMTmjxoA9ZVV4L6cInw3vC2+VEu+fLUadWVg8Dd0MoNZsxge5xXg4xrYvxp46cRZbisoBNJxODqCpkvB+7jmEaNVYYkNbmDU5xU29ZS1RSsD7Z4vxyoCWpyISWWIymbBx40ZUVVW12tvNYDDAYLhwCq1eb/tsHSJyDqUkYUnvUDz6R47F2xUAbgrzb/GFrkoh4U9BvvhTkC+EEJh8IB0FxoZT1BuHrMb1dT4vKMVATzfcGxWMaYE+2FZcbnFMkgD8X69AeCi75mdmcjxJkjBu9hxseeuVNrf1DgqGf1iEE1IRNfjuu+9QUVHR6jaSJOGKK67A5Zdf7qRUXc9VA0Lw6+OT8HlKDlKzyqBUSJjQLxAz4sOhs2GSU2cJ8tJCpQDq7VjndN2eDBbFiagFFsU7wE3T9T/Yq5QKzIgPx4z4cLmjkJOV19XjofQcbC4qazqIlQBMCfTGygFR8Fd3rf/+rw+MwsyDJ3GmpqHQJnDhzIY4Dx1W9O/8DzFL/8hB2vk+qI2fqRr/PFxRg0fSs7FqcG9sKbJ8kI+L7rOlqNymoniRsQ4f5Z1rtc/rO1mFWBgZ3Oap70crLS9e2sgkgCOVNW1mIjp8+DDGjBmD2tpaeHp64ssvv8SgQYOsbr98+XI888wzTkxI1DMdqahGelUt3JUKTPDzgqedEzFuDw9AsbEe/8rIhwINZyUJNIwPM4J98WIbY+ve8iocrbTe4kwAWJ1diLt6BeG1gVG45dApHLjoi2al1PC7/hTog0dt/OKYXNfACVeiWl+Onev/2+p2l/3lekgKLhpOzlFbW2vzrMWSkhIHp+n6fN01uHOCvK2NtColLuvtj+TTtr8ex/I4gYOIWupaVTEi6hQGsxk3HDqFIxU1zU5lFgC+L9bjutST2JLYH+429Bt1liCNGt+N7I9P8krwcd45FBjrEK7V4NbwANwQ6t/pWQsNdfiyoNRqUdkE4OvCMizra4TRhoWhjJaa91uwu6TiwuxwKypMZhwor8KENhYj0ykVQH1rZXHAjQeVZIO4uDikpaWhvLwcn3/+OebOnYtdu3ZZLYwvXbq0qWcc0DBTPDIy0llxiVze75U1eOB4Fg5VXPhiU6eQsDAyGA/FhNrcw1uSJDwYE4qbwvzxWX4JcmqN8FOrcF2IHwZZWMMiz2DEhrwSnKo2wEulRLXJ3FTgtqbAWI+MWgP6uuuwaUQ/fHeuHJ/ll6LIWIconQa3hAU0tFexMTO5tsCo3m1uo1RrHB+E6Lz8/HyYTK1/ngYa1vLRauU945YuuPvyWLuK4poudNxLRF0Hi+LtIITA/oxSbDuaj5o6E/oHe+LahF7wcZOnHUladhne35OBvafPQamQcEVcEOaO6d1ilWbqOb4qLGt2IH0xE4DjVbX4PL8Et0cEOjdYGzxVStwS5g8PpQLp1bVwVyhwmY9Hi4J4Zb0JaRXVMAtgqJcb/Nox632/vqrVWdZAQxFgX3kVRni7I6+4vOl08UspJSDBxj6pBhuL57U2FOJnBPnivZwiq/shAZge5GvT76OeTaPRoG/fvgCAxMRE7N+/H6+//jpWr15tcXutVssDQyIHOVNtwF8OnkCVqfk4UGsWWJlZgI35JVjcOwTXhfjZ3I4kQqfB39toy/VudhGWnTwLoGH8kCS0+SVuo8ah7eLWK0SWHN6xDZJCAWHlc44kSfjt+28x9MqrnZyMqG1ca6XrGBkT0LRuWlsUEnD1oBDHhyKibodFcTuVVhmxYP0BHMgsher86sUms8CKb4/jpdnx+IuT25S89/MZPLf5GJQKqWkl6E/2ZeOTfdl446YRmD6Mp6r2RBvyzrU6s0sC8HHeuS5XFN9cWIbFx7NQZTJDLTXkX5lZgEn+Xlg9uDfUCgnLT+fh/bPFqDn/710tSZgd6odn+kbAy47TyltZD6LFdv/XKwjfnO8BbolJAPNsfC4tzcy7lISGhUnbMr9XINbnFkNY6HeuBOCrVuGGUD+bchFdzGw2N+sZTkTO8+qZPFSazFYXrcwx1OHh9Bz860w+Ph/eF/08dG0+phACe8urkFFjgK9Khcv9vZp94fxNYRmePF8Qv3An2/L6qZTo7caZvWSbkryzVgviQMO/1bL8PCcmop7MbDajsrLS5u2NRqMD05A9PLUqzEmKwge/Ztm0/Z0TYhyciIi6IxbF7SCEwJ3rDyAtuwwAUH/R15KGejMWb0hFsJcWo2MDnJInJbMEz20+BgBNBfGL/754QyqG9fJBpL9tM1jJdeQb6ls91Vmg4XTnriS5rBJ3Hc1oOgavu+hgfGdJBRYczYBKkvD9OX2z4/Q6IfBpXgmOVdZg04h+DS1FbDDSx6PNU8IlAJf5eCBCp8ED0SF4LbOg2cKWjX9/JCYUCT4eNv3e4d7uGOrphmNW+oErJeBKfy/00rVdYIh20+LjYX1wx+HT0JvMUEoNmesFEKxR45PhsfDpYr3jqetZunQppk2bhqioKFRUVODjjz/Gzp07sW3bNrmjEfU4tSYzvigss6keXVxXjxsPncKvowdC00qrrF9KK/Dg8Wxk1F4o5ngqFXiwdyjuiQwCALyakQ8JNtfBmygAzO8V1OrvJ7qYm5cXJEmCaGV2gs7D04mJqKcyGAz4+OOPkZmZafN9kpOTm86sI/k9Nm0gfsspx6Ecy5OXJAAqpYTXbhyBYb18nZqNiLoHVkvssPdMCVIySy3eJtBQIHvrh5NOK4qv+Tmj2QzxFpkE8NHeLDw2bYBT8lDXEa5VI6PGYLXgqzi/TVfSeEBuKbMJwI8l1leENwFIq6jBZ3a0hAnVqjEj2BebC8ssF6cBTAvyQcT54vRjsWGI93LDquwi7C+vggQgydcT90QGYUqgj02/s9Fbg6Lxl4MnUGkyNWvJogQQrFbjpf6292Ye6+eJ1HGD8WVBGfaXV0EpAZf7eeFPQT4sUpBNCgsLcfvttyMvLw8+Pj4YNmwYtm3bhquv5qnrRM6Woq9q9cvai5kEkGuow5aicswKsXxW0P7yKtx46FSL08srTWY8cyoXRrPAX0P98HuV9cU0LWn8UvmqAC8sjuYp6WS7geMmIuvwIau3S5KEQZdf5cRE1FN99dVXyMqybZZxo1OnTqGwsBDBwcEOSkX28NCq8OndY/DZgWx8+GsmsktqoFUpEOSlRaSfG0bG+OOGkZEI9GTLPyKyjEVxO2w7mg+VQmo2Q/xiJgH8fLIY1cZ6uGsc/9T+evqc1YJ4Qx6BX0+dc3gO6npuCQ/Az2XWTwU0A5gT5pwvb2yhrzfhp9LWT11sXJ7L2r94CcAHufa1hHmpfy+cqjbgSGVN0wF+45/9PXR4Oa55cXpakC+mBfk2zW5q76JhcR46fH9ZHN7OKsSneSWoMZvhrVJgTlgA7o0KRpDGvi8sPJRK3BoegFvDu85rSt3He++9J3cEIjrvm6Iyu7ZXAvihRG+1KP78qVyYhfWzov6VkY/L/duelauSgERvD5wz1kNvMiHWTYu5EYH4S7CvzYt+EgFA3LjLse/rz1GWn9eijYqkUMDNyxvxV0+TKR31FKWlpTh27Fi77rtnzx7MmjWrcwNRu+nUStw+pjduH9Nb7ihE1A2xKG6HGmPbq1I3bueMorhNeJzSI80I8sVa7yKk6Kst9poe7OmG66wcQMuhypYV3224PafWvj5/PmoVvknohy8LSvFh3jnkGeoQqlFjTngArg/xg5uVViytFcNPVtdib1kVAGCMrydi3S3PTIjUabCify8s7xeBWrOATiG1u8hORESu4Uy1/b38rS2GmVNrxN7yqjbuK5Cmr4aHUtFiYc9Lf8ft4QG4PtTf7nxEF1NrtLhx2Qp8/epy5KYfg3T+rDZhNsM/vBf+8uA/4O7jK2/ILurpp5/GM8880+y6uLg4HD9+XKZE3dfJkyfbfd/ff/+dRXGZ5ZXX4OO9WdiVXgSTEBgV44/bRkcjNoitl4jIPl2kcts99A32hKmN1fn83NXwdXfOYkMT+gXim9/yrM4WV0gN21DPo1ZI2BDfB4+fyMEXBaVNB8xKADND/LCify+be287Q4BaBU+lApWtHJADaLPfabXJjFHJx9DHXYvbwgNwTaAPFG0Umt2UCtwSHoAZwb7YXVqBGpMZAzx0Vgvi1hQZ63DfsSzsKm3e5uUqfy+8MTAagVa+KJMkCW5KFsOJiAjwUinbXO/iYmYAI7wsrx1TZMPaIUoJKK034ZYwf6zJKbbYTkxxPtf0IF8bUxG1zsPXDzc/+xIKTp9E5uE0CLMZEXGDEDFwMCcItGHw4MH4/vvvm35WqXg43x4mk6nN3vbWGAwGnDt3DgEBPENTDjvTC3H3BymoM5mbWoMdz6/A+3sy8M/rh2H2SNvbUBIRcRS1w/UJvfDPrcdRZ7JehL51dDSUCud8mJs3LgZfpeVavE0CoFIocPOoKKdkoa7HQ6XE6wOj8USfcKSUV0NAINHbA8FdrJc4AGgUCswJD8B/s4ssHpADDaduW5sN18ggBLJqjThba8SPJRWYGuCN/w6JgbqV/5MmIfDSmXyszi5E7UVfMMV7ueH1gVEY4OHWZv4qkwnXpp60OMNvV2kFrks9ia0j+8O9C30RQUREXc+MYF9sLrK8YNilJAA6hYQbQi2f+RViw1mLJtGwxsadvYLwc2kl0qtqmxXklQAUkoR3BkV3qS/TyTWExPZFSCwXLbSHSqVCaGio3DG6vfDw8HYVxBsdPHiQa6/IIL+8Fnd/kAJjvbnZRKnGSYKPfPEbBoZ5Y0iEfes9EVHPxU+3dvDz0OCf1w+DhIYC+MUUEjAozBv3XNHHaXniI33x4nVDIUloVohXShJUSgmrbktAuG/bBT1ybUEaNa4J8sG0IN8uWRBv9PfoEMS4a6G85PrGN6kV/XthiKdbi9staSysf3dOj1cz8lvddukfOXg9s6BZQRwAjlTUYEbKCWTUtH0q+2f5pThZbbBY0DcJ4I/qWvy/AsuL9BIRETWaFuiDflbabl1MAqCSJKwe3Bs+asvF73CdBiO9Lc8ib6SUGlqueauU+DqhHxZHh8Bf3TDSKgFcE+iDzYn9cFWAt727QkQOcOLECYSHhyM2NhZz5syxe6FIahAZGYmgoKB2n5mQm2t5Yho51sf7slBnMls9c1ghSVj7yxmnZiKi7o1FcTtdl9ALH96ZhFExF3oq+rqpce/Evvj07jHw0Dp38v3No6Kw7YHLccuoKPQL9sSAUC/ceXkMfnhwIq4aEOLULEQd4Xu+v/cdEYFwV1x4axru7Y4Ph8Xi1vBAbBzex64DcwFgzdli1Fppy/JHVS3W51pejNaEhnYsr2cUtPl7Ps0712r7fgWAT/NK2nwcIiLq2TQKBW4Lb7v1nVoC/pfQD1MCW58N56Nq/atkk0BTL3GTEPBWKRGl1aCPmwZ/DvLBgsggxFtpz0JEzpWUlIR169Zh69ateOedd3DmzBlMmDABFRUVFrc3GAzQ6/XNLtRAkiTMnj0bWm3bX0JakpubC5MNayJR59r9RxGsdI4F0DBjfPcfxc4LRETdHtuntMO4voEY1zcQFbV1qK0zw89dDZWMp5T2D/HCc7OGyPb7iTqLn1qFF/r3whN9wlFgrIO7QtFsdrufWoUPhsXiTLUBv5RVYse5cmwr1rfae7W83oQT1bUYauGg/ouCUiilhqKAJabz2/wzrhc0Cuv/x4uN9a32OjcDKDTWtbIFERFRg+xaA1QAWusIbhSAfxvtUapMJuwurWx1GwnA5/klmBzojetTT6Gk7sJ4llFrxFdF5VjQKxDP9o1gr2cimU2bNq3p78OGDUNSUhKio6Px2WefYf78+S22X758eYuFOemC4OBgLFy4EMnJyUhJSUFdne2f1Q0GA5577jnodDokJCRg7Nix8PTkIo+OZrah5Y0t2xARNWJRvAO8dGp46eROQeR63JQK9HazPnMjxl2LGHctSuvq8V1x+2e92FKoNgoBfb0ZgRrrRfFeOg1yDXVWi/MKAJE65yzAS0RE3ZtGoWh7ZWkA2jbWsCmpM6GujeKAUpKQU2vELYdOo6yu+Re8jV8Yv5tTjEGebrg5jIvKEXUlvr6+6N+/P06ePGnx9qVLl2LJkiVNP+v1ekRGchHCi/n4+OCaa67B1KlTsWnTJhw6dMiu+9fW1iI5ORmHDx/G/Pnz4evr65igBAAYHRuAo7n6ph7il1IqJCTF+lu8jcgV/ZqZA29t50xa0BsEemI3frZPIaJua7Svp9WFORv5qJTo527526tQjdqmooO3qvW3yjnhAa3OVjcDuDWcxQQiImrb5ADvVheWVgAY4umGIE3r64T4qpRtftA3C4HSehNyDXVWx1MJwDtZhR1alI6IOl9lZSVOnTqFsLAwi7drtVp4e3s3u5BlkiQhKiqqXfcVQqCyshJff/11J6eiS81Jimr12M1kFrhjbIzzAhFRt8eiOJGM0vMr8OgXv+GyF75HwnPbMf/9/fj5BPug2WqktzuGtrL4pgTg/yICobPS3mh2qH+rRXWlBMwO8W+1dQoAzAz2RZKPh8U3VAWAMb6emB7k2+pjEBERAcBoHw8M93KD0srEHzOAxdFtrxvjpVLimkCfVheoNgNQSxJUrUwyEgD+qDagpI79c4nk9NBDD2HXrl3IyMjAnj17cO2110KpVOLmm2+WO5pL6Ej7EyEETp8+jZISriHkSNEBHnj1xngopIZZ4Y0a/7502oBma78REbWFRXEimfzvtzz86Y2f8HlKDooqDCipMmJnehFufW8vXvkuXe543YIkSXhvSG+EatXNFrpsLABcHeCNv/e2XjiIdddifoTlBc2UALyUSvwtOrjNHBqFAh/Hx+LW8ABoLuq5qlVIuD08AB8Ni4W6jdPciYiIgIax7YNhsYg7f5aTEg1f8jb++VSfcMwI9rXpsR6OCYVaIVn8wC8BuCM8AB42rovDeeJE8srJycHNN9+MuLg43HDDDQgICMCvv/6KoKAguaO5hD59+kCn61hv1Pz8/E5KQ9bMHB6B//1tAv6a2Auh3loEeWoxbUgoPr9nDO6+oo/c8Yiom2FPcSIZ5JXXYPGGVJjNonn/zvP90d784SQSo/0wMa7tgmxPF+WmxY+jBmBD3jlszC9FWb0JsW5a3BYegGlBPlC2sTDYc/0iEKBR4e2sQlSZLjRBSfTxwMoBkYhqpbf5xTyUSrwUF4nHY8OQVlENCRKGe7nBR823WSIisk+QRo3vRsZhR4ke3xSWodpkRj8PHW4J80e0jeMSAAz0dMP/G94X9/+ehVM1hqbrtQoJd/UKwmOxYfiqsAzv556z+hgSgGg3DQLUrc05JyJH27Bhg9wRXJpKpcKUKVM61AZFpeLnfmcYGOaNf14/TO4YROQC+K5NJINP9mXDLITVWVdKhYS1v2SwKG4jb5USd0UG465I+58vhSRhSe9Q3BMZjOSyStSYzOjvoUN/j/bNFPFVqzDRnz0biYioY1QKCVMDfTA1sGPLHiX4eODnpAHYV16FE9UGeCgVuMrfq+lL2+lBPghUq1BSV29xfQwB4O7IYEhtfMlMRNQd1dXVIT09HXq9Hh4eHggODkZhYaHdj6NSqRAdHe2AhERE5CgsihPJYP+ZElhZNBtAw4zx/RnsSedM7koFJgWwmE1ERK5HkiQk+Xoiybdlz1ytQoEPhsXihrSTqDKZmwrjSgAmADeG+mEuF4smIheUmpqKrVu3wmAwQJIkCCGgaGMtIWsSEhKg1dp+Jg8REcmPRXEiGSht6C+t4IwsIiKiHstgNuN/ReXYVlyOWrMZgzzccGt4ACJ0mk7/XSO83fFT0kC8f7YYX51v1zLQU4d5EYG4OsCbs8SJyOUcPnwYX331VdPPQjTMWDKbLZ0z07b9+/fD29sb48eP75R8RETkeCyKE8lgQr9A/HKqGMLKbHGlQsLl/bloDhERUU+UWWPA7LRTyKo1QgHADOD7Yj1ezyzAS3GRuNUBM7dDtWo8GhuGR2PDOv2xiYi6ErPZjO3bt7e5XePscVsIIfD999/D3d0dCQkJHY1IRERO0L5zg4ioQ2aPjIS7WglrE8bNZoH543s7NRMRERHJr84scOOhUzhrMAJAUzsT0/m/P5yejZ9KKuSKR0TU7Z09exZ6vb7N7Xx9faFWq+167J07d7Z7tjkRETkXi+IurLCiFgcySpCeX2HzN9zkHP4eGqydNwq6SwrjSoUESQJevG4oEqP95QtIrSqpq8fG/BKsO1uMn0v5/4uIiDrP1uJyZNQYYbIytCgAvJVl/yJwRETUoLq62qbtSktLMXr0aLseW6/XIz8/vz2xiIjIydg+xQVlnavGs5uPYcfxgqb2HL0D3PHglDjMiA+XNxw1GRXjj10PX4nPDmRjx+8FqDcLJEb74dbR0egT1HIhLJJfvVnghdO5+G9OMeqEgARAAOit0+DNQdG4zMdD7ohERNTNfX9OD6UEq0VxE4BdpRXYeU6PCf5eULLfNxGRXXx9fW3aTpIkVFZWIigoCEVFRTY/vtFobGcyIiJyJhbFXUx2STVm/fsXlFUbm/WrzjhXjfs/SUVZTR1uGx0tX0BqJshLi0VX9sWiK/vKHYVs8I8TOVifew6N/7Ua/8yqNeKvaSexJbE/Bnu6yRWPiIhcQJ0QFwaYVtz022mEalR4um8EZoX4OT4YEZGLCAkJQVhYGPLy8lrdTgiB06dPo7y83K7HDwjo/HUfiIio87F9iov513fpKK02wmzlYOrZr4+ivKbOuaGIXEBGjQHvX1QQv5gZDbPIXz7DUyWJiKhjhnq6wdZutPnGetxzLBNfFpQ6NBMRkauZPn26TdvZUxBXKBSIi4uDl5dXe2MREZETsSjuQvS1ddh8KBettTeuMwt8tDfTeaGIXMT/KyiFspXbTQC2FZdDX29yViQiInJB0wK9rS7Ebc2TJ86iztqMCCIiaqFXr14YMmRIm9tJNraoUigUcHNzw7Rp0zoajYiInIRFcRdSqDdY7T95sR9+5+JMRPY6Z6yHoo0PxQJAWV29cwIREZHL2V5cjiv3/2HT57mLFdfV46fSCseEIiJyUVdffTXc3Ky3PlQqlRCtzTi7SExMDO6++26b+5UTEZH8WBR3IT5uapu2K9DXOjgJkesJ12lgauNDsVqSEKDhUg1ERGS/3ytr8H9HMlBrtrV5SnMFRrbHIyKyh4+PD+bNm4egoCAAzWeFh4SEwGSy/QzQzMxMKJWtnVdKRERdDas3LiTISwulQoKpjdNn/Tw0TkpE5Dr+GuKHF0/lWr1dCeDaYF948MMwERG1w6rsQpghbFlj06IQjW2TI4iI6ILg4GDce++9yM7OxtmzZ6FUKhETE4O1a9fa9TgmkwlpaWkYN26cg5ISEVFn40xxFzMi0rfV2yUAE/sHOSULkSsJ0arxcEyoxduUEuCtUuIhK7cTERG1ZUtRud1tUxoFqlW43I8LuxERtYckSYiKisKYMWMwatQoVFdXo7q62q7HEEIgKyvLQQmJiMgRWBR3MUum9G/1dpVSwk2jopyUhlxFnsGIlRn5WHQsE4+kZ2N3SYXN/fVcyeLoEKzo3wtB6uYn2Yz39cKWxP6IctPKlIyIiLo7QwcWyny2XwRU9q7OSUREFhmNxnbdz9ZFOYmIqGtg+xQXM7ZPIB69ZgD+ufU4FBLQeHylVEiQALx5cwLCfa0vJkJ0qfdyivDUibMQaDjTQJKA9bnnkODtjg+HxcJf3XPeRiRJwh0Rgbg1LAAH9VWoMpnRx13LYjgREXXYQE8dDlfUwFpHcQUAd6UClaYLW4RqVHi6bwRmhfg5JSMRUU8QEBDQrvvFxMR0chIiInKknlPN6kEWTuyDUTF+WPdLBvZnlEKllHBlXDDmju2NvsGecsejbmRrUTn+ceJs8yvPf9GSqq/GhL2/Y4KfF0b6eOCGUH94q3pGP22VQsIoX/5fIiKizjO/VxD+9rv1U+8FgK2J/VFUV498Qx2CNCqM8fWEkjMTiYg6lcFgsGt7SZKg1WoRHx/voEREROQILIq7qMRofyRG+8sdg7q5lZn5UAAWZ60JAOfqTPi6sAxfFZZh+ek8rBsSgwn+7GlKRERkr7+G+GF7sR6bi8oANH0HDSUAE4Dn+kWgr4cOfWXKR0TUUxw6dMiu7TUaDebMmQOdTuegRERE5AgsihORRUXGOhyqqGlzu8aCebXJjFsPn8auUQPQm+1EiIiI7KKQJKwaHI0Pcj3xn+winK5pmKk4ytcD90WFYFKAt8wJiYh6hpMnT9q0nbe3N0aOHImEhAR4evIsUiKi7oZFcSKyqMZkraupZQKA0SzwVmYB/jWAi7kSERHZS3l+7Yq54QGoMQsoJUCrUMgdi4ioR9Hr9TZtd//990OtVjs4DREROQo/ZRORRaFaNbxV9r1FCACf5JWgwFDnmFBEREQ9gCRJcFcqWBAnInKyqqoqGI3GNrfz9vZmQZyIqJvjJ20iskijUOC28EC73yRMAJ49leuISERERERERA4hhEBGRoZN2/bq1cuxYYiIyOHYPoWIrFoSHYKfSipwpLLG4mKb1nxVWIrn+0XAT823GCIiIiIi6tqOHDmCnTt3ori42Kbtw8PDHZyIiIgcjTPFicgqD5USXyb0xUMxoQiyo8BdL4CMmrZPOyQiIiIiIpJTcnIyPv/8c5sL4kBDmxUiop7u7bffRu/evaHT6ZCUlIR9+/ZZ3XbdunWQJKnZRafTOTFtSyyKE1GrPJRKLOkdit/GDcapCUNxlb+Xjffj2wsREREREXVdFRUV+O677+y+3++//+6ANERE3cenn36KJUuWYNmyZTh48CDi4+MxdepUFBYWWr2Pt7c38vLymi6ZmZlOTNwSq1ZEDiaEQHlNHSoN9XJH6RBJkuChUmJ5/9b750kAYt206OeudU4wIiIialO9WaDOLOSOQUTUpaSlpbXrfhUVFZ0bhIiom3n11VexYMECzJs3D4MGDcKqVavg7u6ONWvWWL2PJEkIDQ1tuoSEhDgxcUts+EvkIGazwEd7M/Hfn88g81w1AGBIuDfumdgHfx7WfXvQRbtp8dcQP/y/glKLfcYFgIdiQiFJkrOjERER0SU2F5ZhVXYhDugbPosM93LDPZHBmBnsy7GaiHq8kpISSJIEIez70lAIgerqari7uzsoGRGR8+n1+mY/a7VaaLUtJzwajUakpKRg6dKlTdcpFApMnjwZycnJVh+/srIS0dHRMJvNSEhIwIsvvojBgwd33g7YiTPFiRzAbBb4+2dpePKro8g6XxAHgGN5etz3cSpWbv9DxnQd96+4SPwpyAcAoJQAldTwZqKUgGf6huO6ED95AxIRERH+eToPdx7NwEH9hc8iv1XU4J5jmXj2VK6MyYiIuob29rM1m8344IMPYDKZOjkREZF8IiMj4ePj03RZvny5xe2Ki4thMplazPQOCQlBfn6+xfvExcVhzZo1+Oqrr/Dhhx/CbDZj7NixyMnJ6fT9sBVnihM5wJYjefgqreFg8+I5B41nLb++4wSuHhSCIRE+zg/XCXRKBf47JAbHKmuwqaAUZfUm9HbTYnaoH4I0arnjERER9Xj7y6uwMrMAAJqd2dX493eyizApwBvj/WxbK4SIyBUNHjy41VmNrcnLy8Px48dlneVIRNSZsrOz4e3t3fSzpVni7TVmzBiMGTOm6eexY8di4MCBWL16NZ577rlO+z324ExxIgdYn5wJRStnJCsVEj7am+W8QA4yyNMNj/cJx0txkbg3KpgFcSIXsGLFCkiShAceeEDuKETUAWtziqBs7bOIBKzNKXZeICKiLigiIgJ9+/ZtVzspSZJw+PBhB6QiIpKHt7d3s4u1onhgYCCUSiUKCgqaXV9QUIDQ0FCbfpdarcaIESNw8uTJDuduLxbFiRzgeL4era1lZTILHMstd14gIiIb7N+/H6tXr8awYcPkjkJEHXSoogam1j6LCOBQRbX1DYiIegBJkjB79mwMGDCg6WeFwrYyiRACVVVVjozn0upMZmw5nId/bUvHGztO4CiPj4m6DY1Gg8TEROzYsaPpOrPZjB07djSbDd4ak8mEw4cPIywszFEx28T2KUQO4KZWQl9Tb/V2CYCHlv/9iKjrqKysxJw5c/Duu+/i+eeflzsOEXWQrrVp4udpuNAmERG0Wi1uvPFGFBUVIT09HXV1dQgKCsLOnTtRXGz9jBqFQgF/f38nJnUde0+fw70fH8S5SiMUEiAE8Or2P5AY7Yc1cy+DjzvPQCbq6pYsWYK5c+di5MiRGDVqFF577TVUVVVh3rx5AIDbb78dERERTX3Jn332WYwePRp9+/ZFWVkZXn75ZWRmZuLOO++UbR9YlSNygD8NDcP65EyYWpkufs0Q204pISJyhkWLFmH69OmYPHkyi+JELuBPgb44VpmPViaLI0jLogMRUaOgoCAEBQU1/VxVVYVvv/3W6vZmsxkJCQnOiOZS/iiowG1r9sFY37DKxcWHzCmZpZjy2i7sefQqKJVsbEDUlTV+mfjUU08hPz8fw4cPx9atW5sW38zKymp25k1paSkWLFiA/Px8+Pn5ITExEXv27MGgQYPk2gUWxYkcYd7YGHyyLwtCiBZtVJQKCf4eGlw7IkKecEREl9iwYQMOHjyI/fv327S9wWCAwWBo+lmv1zsqGhG1023hAXglo/WieEp5FY5WVKO3uxYeSqXTshERdQcJCQk4dOgQ8vLyIETLd9P4+HhERUXJkKx7W7XzFOrqzVZvL9Ab8OTXR/HitUOdmIqI2uO+++7DfffdZ/G2nTt3Nvt55cqVWLlypRNS2Y5fvRE5QFSAO96fNwqe51ukKBUSVOdX3gzx1uKTBaPhpePsrM4khMDPpRW471gmZh08gYVHM/DDOT3MFj7AEtEF2dnZWLx4MT766CPodDqb7rN8+XL4+Pg0XSIjIx2ckojsVW02w3rJoUE9gEkH/kDcT4dx79EMnKk2tHEPIqKeQ61WY+7cuUhMTIRKdWE+oZubG6666irMnDmzXQt09mRCCHzzW26rX9gCwBcpOagztTWKERF1jCQsfeXZRej1evj4+KC8vBze3t5yxyGyW43RhG8O5SIlsxRKpYTxfQNx9aAQqHkqWKcyms2462gGthbroZQaFg9TAjABmODnifeHxsKdzzl1AV1xXNu0aROuvfZaKC+aJWoymZoWmjIYDM1uAyzPFI+MjOxS+0XU06WUV2H6wRM2b68E4KFS4JuE/ojzsO0LMiJX1BXH6s7gqvvlLLW1tSgsLIRSqURISEizIjnZzlhvRv8nrLekudgXC8ciMdrPwYmIHMdR77tNj/uYF7y1nfPFnN4g4LOioseNEXwnJ3IgN40SN1wWiRsu4yxKR3r+VB62FTe0bzCd/5rPdP62X0or8fgfOXhtIE9tJLJk0qRJOHz4cLPr5s2bhwEDBuDRRx9tURAHGhak0mq1zopIRO0QZme/cBOAqnozHjqejW8S+zkmFBFRN6XT6dgqpRNoVAp4aVWoMNS3uW1tnanNbYiIOoJTJ4moW9PXm/B+brHVU/DMADYWlKDIWOfMWETdhpeXF4YMGdLs4uHhgYCAAAwZMkTueETUTuE6DSb4ecKeTuEmAPv1VfijqtZRsYiIqIebNjS0zW0kAH2DPR0fhoh6NM4UJ6JubW9ZJQyXrmZ6CZNomDE+K4Sn3xERUc/xdN8I/DnlDxjMos3+4hc7UV2L/myhQkREDvDUnwfhy9SzqDNZPoaTJODqQSEI8eY4RNSaIbXvQSHcO+WxzIZqADd0ymN1J5wpTkTdmpXPUi3Udd3lE4i6nJ07d+K1116TOwYRddBgTzd8ndAPCd72HTB5cB0OIiJyEE+dGh/MHwWVomUvZEkCQrx0eOYvg2VIRkQ9jdM+8a5YsQKSJOGBBx5w1q8koh5gqJcbbFlaYrhX53yDSkRE1J0M9XLH2qExNm/vo1JitA9PWSci1yaEQHZ2Nvbu3Yv9+/ejpKRE7kg9yujYQGz7++WYOTwMqvNVKXe1AvPGxuCb+8cjzMdN3oBE1CM4pX3K/v37sXr1agwbNswZv46IepAInQbXBHrju2I9LC3FogQw2tcT/XgaOBER9VAldixW9rfoEOg4U5yIXFhxcTE2btyIgoICSJIEcf6M0gEDBmDWrFnQ6Xjc4Ax9gjzx+k0J+NdsM6oNJnjqVFBamD1OROQoDv/EW1lZiTlz5uDdd9+Fnx/7+RJR53spLhJRbpoWb2gKACFaNd4YyJXiiYio5wrWqGz60H+FnyfujQxyeB4iIrlUVFRgzZo1KCwsBICmgjgApKen46OPPoLZbM8qDNRRaqUCPu5qFsSJyOkcXhRftGgRpk+fjsmTJ7e5rcFggF6vb3YhImpLkEaNbSPjsDQ2DFE6DbQKCRFaNR7sHYrtI+MQodPIHZGIiEg2fmoVpgX6QNnKNioA7wzuDUliUYKIXNfevXtRU1PTrBjeqLGlyokTJ2RIRkREzubQ9ikbNmzAwYMHsX//fpu2X758OZ555hlHRiIiF+WtUuL+6BDcHx0idxQiIqIuQwiBQxU1uMzHAz+U6GE0C4vtxp7oEw5/tVM6KxIRySYtLc1iQbyRJEn47bffEBcX58RUREQkB4d98s3OzsbixYuxfft2m3tyLV26FEuWLGn6Wa/XIzIy0lERiYiIiIhcVkp5FR5Kz8bvVbVN11364T9Eo8IjMWGYEx7g3HBERDKoqalp9XYhBKqqqpyUhoiI5OSwonhKSgoKCwuRkJDQdJ3JZMLu3bvx1ltvwWAwQKlsfhKnVquFVqt1VCQiIiIioh7hUEU1rk09ifpLZkTWn//z5lB/3BzmjwRvD6jYx5WIeggfHx+UlJRYvV2hUHAtNCKiHsJhPcUnTZqEw4cPIy0trekycuRIzJkzB2lpaS0K4kRERERE1DmeP5ULkxCwtlzchvwSCIAFcSLqURITE1tdO8FsNmPEiBFOTERERHJx2ExxLy8vDBkypNl1Hh4eCAgIaHE9ERERERF1jjyDET+VVra6jQDw17RT+DaxH4Z4uTsnGBGRzEaOHIlDhw6hqKjIYm/x+Ph4tnAlIuohHDZTnIiIiIiInK/QWN/2RgDqhcA/Tpx1cBoioq5Dq9Vi3rx5iI+Ph0JxoRyi0+kwceJEzJw5s9WZ5ERE5DqcusT8zp07nfnriIiIiIh6nGCNbR/xBYC95VU4XW1ArDvX9SGinsHNzQ2zZs3ClClTUFhYCIVCgbCwMKjVarmjERGRE3GmOBERERGRCwnTajDO1xO2znXMqjU4NA8RUVfk7u6O3r17IyoqigVxIqIeiEVxIiIiIiIX80SfcJs/6PuqnHryKBERERGR7FgUJyIiIiJyMSO83fHRsNg2Z4tH6zQY5uXmlExERERERF0Fi+JERERERC5oYoA3HokJbXWbx/uEQcFF5YiIiIioh2FRnIiIiIjIRT0QHYKHeodCLUmQACjP1789lQqsHBCJmcF+suYjIiIiIpIDGwgSUbd1utqAdWeL8WOJHmYBjPXzxLyIQAzy5GngREREACBJEh6KCcX8XoHYUlSOc3X1iNCqMS3IF+5KBVL11VibU4T9+iqoJQlTAn0wNyIQkTqN3NGJiKgLOJRdhvXJGUjJLIVGpcCkgSGYkxSFXn7uckcjIuoQFsWJqFvaUlSGu45mQAjAdP66jFoDPsw9h5fieuG28EBZ8xEREXUlfmoV5oQHNLvu7axCPHcqF0oJMImG605lFeK/OUVYPzQWl/t7yZCUiIi6ilW7TmHFt8ehVEgwmRsGilOFlVjz8xm8N/cyjO/HYy4i6r7YPoWIup2sGgPuPpoJ00UFcaDhgF4AeCQ9B2n6arniERERdXm7Syrw3KlcABcK4kDDuGowC8w9fAbFxnp5whERkex+PlGMFd8eB4CmgjjQMGYYTWYsWH8AJVVGueIREXUYi+JE1O2szz0HsxAQVm5XSsB/c4qcmomIiKg7WZ1dCKWV2wQAg9mMT/LOOTMSERF1Ie/9fBpKheWFmIUADPUmfHYg28mpiIg6D4viRNTt/FRa0WyG+KXqRcM2REREZNmesspWx1Lz+W2IiKhnSj59rtkM8UuZBZB8il+eElH3xaI4EXU7wvpnswvbOD4GERFRt2XLOGnLeEtERD2X4EBBRN0Yi+JE1O2M9/Oyeso30NA+ZYIfFwcjIiKyZoyvZ6tjqQLAOD9PZ8UhIqIuJikmwGr7FABQSMCYPlxok4i6LxbFiajbmRsRAEkCrH1EMwvgzl5BTs1ERETUndwdGWS1fYoEQKuQcFOYvzMjERFRFzJ/fIzV9ikSAI1KgRtG9nJuKCKiTsSiOBF1O9FuWrwzqDcUEprNclOeL5Qv798LI7zd5YpHRETU5U3098Y/YsMANIyfjZQANAoJa4fGIEijliccERHJ7vL+QXh4ahwANJsxrlRI0KgU+M9tIxHgqZUrHhFRh6nkDkBE1B4zgn0x0HMA1uYU44cSPcwCGOvrif/rFYihXiyIExERteX+6BCM9fXEmrPF2F9eBbUkYUqgN+6ICES0GwsdREQ93aIr+2JMnwCs35OBlMxSqFUKXD0wBLeOjkakP4+5iKh7Y1GciLqtvu46vNCfp+wRERG1V6KPBxJ9POSOQUREXVRClB8SovzkjkFE1OnYPoWIiIiIiIiIiIiIegwWxYmIiIiIiIiIiIiox2BRnIiIiIiIiIiIiIh6DBbFiYiIiIiIiIiIiKjHYFGciIiIiIiISCa7d+/GjBkzEB4eDkmSsGnTpma3CyHw1FNPISwsDG5ubpg8eTJOnDghT1giIiIXwaI4ERERERERkUyqqqoQHx+Pt99+2+LtL730Et544w2sWrUKe/fuhYeHB6ZOnYra2lonJyUiInIdKrkDEBEREREREfVU06ZNw7Rp0yzeJoTAa6+9hieeeAIzZ84EAKxfvx4hISHYtGkTbrrpJmdGJSIichmcKU5ERERERETUBZ05cwb5+fmYPHly03U+Pj5ISkpCcnKyjMmIiIi6N84UJyIiIiIiIuqC8vPzAQAhISHNrg8JCWm6zRKDwQCDwdD0s16vd0xAIiKiboozxYmIiIiIiIhcyPLly+Hj49N0iYyMlDsSERG5mLfffhu9e/eGTqdDUlIS9u3b1+r2GzduxIABA6DT6TB06FBs2bLFSUktY1GciIiIiIiIqAsKDQ0FABQUFDS7vqCgoOk2S5YuXYry8vKmS3Z2tkNzEhFRz/Lpp59iyZIlWLZsGQ4ePIj4+HhMnToVhYWFFrffs2cPbr75ZsyfPx+pqamYNWsWZs2ahSNHjjg5+QUsihMRERERERF1QTExMQgNDcWOHTuartPr9di7dy/GjBlj9X5arRbe3t7NLkRERJ3l1VdfxYIFCzBv3jwMGjQIq1atgru7O9asWWNx+9dffx3XXHMNHn74YQwcOBDPPfccEhIS8NZbbzk5+QVduqe4EAIA+58REZFraBzPGsc3V8HxmoiIXIUcY3VlZSVOnjzZ9POZM2eQlpYGf39/REVF4YEHHsDzzz+Pfv36ISYmBk8++STCw8Mxa9Ysm38Hx2oiIudy9HhiNlR3+mNdOkZotVpotdoW2xuNRqSkpGDp0qVN1ykUCkyePNnqItDJyclYsmRJs+umTp2KTZs2dTB9+3XponhFRQUAsP8ZERG5lIqKCvj4+Mgdo9NwvCYiIlfjzLH6wIEDuPLKK5t+biwazJ07F+vWrcMjjzyCqqoq3HXXXSgrK8P48eOxdetW6HQ6m38Hx2oiInl09nii0WgQGhqKs+/c0WmPCQCenp4txohly5bh6aefbrFtcXExTCaTxUWgjx8/bvHx8/Pz7V402tG6dFE8PDwc2dnZ8PLygiRJTv3der0ekZGRyM7OdqlTzVx1vwDX3TfuV/fC/epenL1fQghUVFQgPDzc4b/LmeQcr61xtX+zrrQ/rrQvgGvtjyvtC8D96cq68r7IMVZPnDix1ZmEkiTh2WefxbPPPtvu3+Hosborv6ZdEZ8v+/D5sg+fL/s46vly1Hii0+lw5swZGI3GTn1cIUSL8cHSLHFX0qWL4gqFAr169ZI1g6v2X3PV/QJcd9+4X90L96t7ceZ+udIM8UZdYby2xtX+zbrS/rjSvgCutT+utC8A96cr66r7wrG6/brqa9pV8fmyD58v+/D5so8jni9HjSc6nc6us4U6W2BgIJRKpV2LQIeGhtq9aLSjcaFNIiIiIiIiIiIiImqTRqNBYmJis0WgzWYzduzYYXUR6DFjxjTbHgC2b9/e6qLRjtalZ4oTERERERERERERUdexZMkSzJ07FyNHjsSoUaPw2muvoaqqCvPmzQMA3H777YiIiMDy5csBAIsXL8YVV1yBV155BdOnT8eGDRtw4MAB/Oc//5FtH1gUt0Kr1WLZsmUu1z/HVfcLcN194351L9yv7sVV94tc77V1pf1xpX0BXGt/XGlfAO5PV+ZK+0IN+Jrah8+Xffh82YfPl334fLXPjTfeiKKiIjz11FPIz8/H8OHDsXXr1qbFNLOysqBQXGhQMnbsWHz88cd44okn8Pjjj6Nfv37YtGkThgwZItcuQBKtrehBRERERERERERERORC2FOciIiIiIiIiIiIiHoMFsWJiIiIiIiIiIiIqMdgUZyIiIiIiIiIiIiIegwWxYmIiIiIiIiIiIiox2BR3EZ//PEHZs6cicDAQHh7e2P8+PH48ccf5Y7VKf73v/8hKSkJbm5u8PPzw6xZs+SO1GkMBgOGDx8OSZKQlpYmd5wOycjIwPz58xETEwM3Nzf06dMHy5Ytg9FolDua3d5++2307t0bOp0OSUlJ2Ldvn9yROmz58uW47LLL4OXlheDgYMyaNQvp6elyx+pUK1asgCRJeOCBB+SO0inOnj2LW2+9FQEBAXBzc8PQoUNx4MABuWNRB9n6Xvnbb79hwoQJ0Ol0iIyMxEsvvSRT4ra98MILGDt2LNzd3eHr62txG0mSWlw2bNjg3KA2sGVfsrKyMH36dLi7uyM4OBgPP/ww6uvrnRu0nXr37t3idVixYoXcsWzmKuPz008/3eJ1GDBggNyxbLJ7927MmDED4eHhkCQJmzZtana7EAJPPfUUwsLC4ObmhsmTJ+PEiRPyhLVBW/tzxx13tHitrrnmGnnCUru44rjraK4+FjqCq4xPnc3VxgxHs+WYvba2FosWLUJAQAA8PT1x/fXXo6CgQKbE5Ggsitvoz3/+M+rr6/HDDz8gJSUF8fHx+POf/4z8/Hy5o3XIF198gdtuuw3z5s3DoUOH8Msvv+CWW26RO1aneeSRRxAeHi53jE5x/PhxmM1mrF69GkePHsXKlSuxatUqPP7443JHs8unn36KJUuWYNmyZTh48CDi4+MxdepUFBYWyh2tQ3bt2oVFixbh119/xfbt21FXV4cpU6agqqpK7midYv/+/Vi9ejWGDRsmd5ROUVpainHjxkGtVuPbb7/FsWPH8Morr8DPz0/uaNRBtrxX6vV6TJkyBdHR0UhJScHLL7+Mp59+Gv/5z39kTG6d0WjE7NmzsXDhwla3W7t2LfLy8pouXfFL7rb2xWQyYfr06TAajdizZw/ef/99rFu3Dk899ZSTk7bfs88+2+x1uP/+++WOZBNXG58HDx7c7HX4+eef5Y5kk6qqKsTHx+Ptt9+2ePtLL72EN954A6tWrcLevXvh4eGBqVOnora21slJbdPW/gDANddc0+y1+uSTT5yYkDrKFcddR+sJY2FncrXxqTO52pjhaLYcs//973/HN998g40bN2LXrl3Izc3FddddJ2NqcihBbSoqKhIAxO7du5uu0+v1AoDYvn27jMk6pq6uTkRERIj//ve/ckdxiC1btogBAwaIo0ePCgAiNTVV7kid7qWXXhIxMTFyx7DLqFGjxKJFi5p+NplMIjw8XCxfvlzGVJ2vsLBQABC7du2SO0qHVVRUiH79+ont27eLK664QixevFjuSB326KOPivHjx8sdg5zk0vfKf//738LPz08YDIam6x599FERFxcnRzybrV27Vvj4+Fi8DYD48ssvnZqnI6zty5YtW4RCoRD5+flN173zzjvC29u72evVVUVHR4uVK1fKHaNdXGl8XrZsmYiPj5c7Rodd+v/abDaL0NBQ8fLLLzddV1ZWJrRarfjkk09kSGgfS+9Tc+fOFTNnzpQlDzmOq4y7juaqY2Fnc6XxyZFcbcxwhkuP2cvKyoRarRYbN25s2ub3338XAERycrJcMcmBOFPcBgEBAYiLi8P69etRVVWF+vp6rF69GsHBwUhMTJQ7XrsdPHgQZ8+ehUKhwIgRIxAWFoZp06bhyJEjckfrsIKCAixYsAAffPAB3N3d5Y7jMOXl5fD395c7hs2MRiNSUlIwefLkpusUCgUmT56M5ORkGZN1vvLycgDoVq+PNYsWLcL06dObvW7d3ddff42RI0di9uzZCA4OxogRI/Duu+/KHYsc5NL3yuTkZFx++eXQaDRN102dOhXp6ekoLS2VI2KnWLRoEQIDAzFq1CisWbMGQgi5I9ktOTkZQ4cORUhISNN1U6dOhV6vx9GjR2VMZrsVK1YgICAAI0aMwMsvv9wtTnd3xfH5xIkTCA8PR2xsLObMmYOsrCy5I3XYmTNnkJ+f3+x18vHxQVJSUrd9nQBg586dCA4ORlxcHBYuXIhz587JHYk6qKeMu47iCmNhZ3HF8clZXHXM6EyXHrOnpKSgrq6u2XM2YMAAREVF8TlzUSyK20CSJHz//fdITU2Fl5cXdDodXn31VWzdurVbn2p/+vRpAA19F5944gls3rwZfn5+mDhxIkpKSmRO135CCNxxxx245557MHLkSLnjOMzJkyfx5ptv4u6775Y7is2Ki4thMpmafcADgJCQkG7fiuhiZrMZDzzwAMaNG4chQ4bIHadDNmzYgIMHD2L58uVyR+lUp0+fxjvvvIN+/fph27ZtWLhwIf72t7/h/ffflzsadTJL75X5+fkW34cab+uOnn32WXz22WfYvn07rr/+etx7771488035Y5lt+7+2vztb3/Dhg0b8OOPP+Luu+/Giy++iEceeUTuWG1ytfE5KSkJ69atw9atW/HOO+/gzJkzmDBhAioqKuSO1iGNr4WrvE5AQ+uU9evXY8eOHfjnP/+JXbt2Ydq0aTCZTHJHo3bqKeOuI/H5usDVxidncsUxozNZOmbPz8+HRqNp0eufz5nr6tFF8ccee8ziwlQXX44fPw4hBBYtWoTg4GD89NNP2LdvH2bNmoUZM2YgLy9P7t1owdb9MpvNAIB//OMfuP7665GYmIi1a9dCkiRs3LhR5r1oydb9evPNN1FRUYGlS5fKHdkmtu7Xxc6ePYtrrrkGs2fPxoIFC2RKTtYsWrQIR44c6ZKL3NkjOzsbixcvxkcffQSdTid3nE5lNpuRkJCAF198ESNGjMBdd92FBQsWYNWqVXJHIytc7b2yPfvTmieffBLjxo3DiBEj8Oijj+KRRx7Byy+/7MA9uKCz96WrsWf/lixZgokTJ2LYsGG455578Morr+DNN9+EwWCQeS96lmnTpmH27NkYNmwYpk6dii1btqCsrAyfffaZ3NHoEjfddBP+8pe/YOjQoZg1axY2b96M/fv3Y+fOnXJH6/Fcbdx1NFcfC4lcjascs1PHqOQOIKcHH3wQd9xxR6vbxMbG4ocffsDmzZtRWloKb29vAMC///1vbN++He+//z4ee+wxJ6S1na371VjQHzRoUNP1Wq0WsbGxXfIUU3ter+TkZGi12ma3jRw5EnPmzOlyM0Ft3a9Gubm5uPLKKzF27NhutzhNYGAglEpli9WbCwoKEBoaKlOqznXfffdh8+bN2L17N3r16iV3nA5JSUlBYWEhEhISmq4zmUzYvXs33nrrLRgMBiiVShkTtl9YWFiz9z4AGDhwIL744guZElFbOvO9MjQ01OL7UONtzmDv/tgrKSkJzz33HAwGQ4vxsLN15r6EhoZi3759za5z9mtzqY7sX1JSEurr65GRkYG4uDgHpOscrj4++/r6on///jh58qTcUTqk8bUoKChAWFhY0/UFBQUYPny4TKk6V2xsLAIDA3Hy5ElMmjRJ7jg9mquNu47m6mOhXFx9fHKknjBmtJe1Y/bQ0FAYjUaUlZU1my3Of2+uq0cXxYOCghAUFNTmdtXV1QAaelddTKFQNM227kps3a/ExERotVqkp6dj/PjxAIC6ujpkZGQgOjra0THtZut+vfHGG3j++eebfs7NzcXUqVPx6aefIikpyZER28XW/QIaZl9ceeWVTbP6L/032dVpNBokJiZix44dmDVrFoCGGbs7duzAfffdJ2+4DhJC4P7778eXX36JnTt3IiYmRu5IHTZp0iQcPny42XXz5s3DgAED8Oijj3bbgjgAjBs3Dunp6c2u++OPP7rkex816Mz3yjFjxuAf//gH6urqoFarAQDbt29HXFyc09qi2bM/7ZGWlgY/Pz+HF8SBzt2XMWPG4IUXXkBhYSGCg4MBNLw23t7eLb7IcpaO7F9aWhoUCkXTvnRVrjw+A0BlZSVOnTqF2267Te4oHRITE4PQ0FDs2LGjqaCh1+uxd+9eLFy4UN5wnSQnJwfnzp1rVsAhebjauOtorj4WysXVxydH6gljhr3aOmZPTEyEWq3Gjh07cP311wMA0tPTkZWVhTFjxsgRmRxN1mU+u4mioiIREBAgrrvuOpGWlibS09PFQw89JNRqtUhLS5M7XocsXrxYREREiG3btonjx4+L+fPni+DgYFFSUiJ3tE5z5swZAUCkpqbKHaVDcnJyRN++fcWkSZNETk6OyMvLa7p0Jxs2bBBarVasW7dOHDt2TNx1113C19e32erq3dHChQuFj4+P2LlzZ7PXprq6Wu5oneqKK64QixcvljtGh+3bt0+oVCrxwgsviBMnToiPPvpIuLu7iw8//FDuaNRBtrxXlpWViZCQEHHbbbeJI0eOiA0bNgh3d3exevVqGZNbl5mZKVJTU8UzzzwjPD09RWpqqkhNTRUVFRVCCCG+/vpr8e6774rDhw+LEydOiH//+9/C3d1dPPXUUzInb6mtfamvrxdDhgwRU6ZMEWlpaWLr1q0iKChILF26VObkbduzZ49YuXKlSEtLE6dOnRIffvihCAoKErfffrvc0WziSuPzgw8+KHbu3CnOnDkjfvnlFzF58mQRGBgoCgsL5Y7WpoqKiqb/FwDEq6++KlJTU0VmZqYQQogVK1YIX19f8dVXX4nffvtNzJw5U8TExIiamhqZk1vW2v5UVFSIhx56SCQnJ4szZ86I77//XiQkJIh+/fqJ2tpauaOTjVxx3HU0Vx4LHcGVxqfO5mpjhqPZcsx+zz33iKioKPHDDz+IAwcOiDFjxogxY8bImJociUVxG+3fv19MmTJF+Pv7Cy8vLzF69GixZcsWuWN1mNFoFA8++KAIDg4WXl5eYvLkyeLIkSNyx+pUrlIUX7t2rQBg8dLdvPnmmyIqKkpoNBoxatQo8euvv8odqcOsvTZr166VO1qncpWiuBBCfPPNN2LIkCFCq9WKAQMGiP/85z9yR6JOYOt75aFDh8T48eOFVqsVERERYsWKFTIlbtvcuXMt7s+PP/4ohBDi22+/FcOHDxeenp7Cw8NDxMfHi1WrVgmTySRvcAva2hchhMjIyBDTpk0Tbm5uIjAwUDz44IOirq5OvtA2SklJEUlJScLHx0fodDoxcOBA8eKLL3ar4p6rjM833nijCAsLExqNRkRERIgbb7xRnDx5Uu5YNvnxxx8t/h+ZO3euEEIIs9ksnnzySRESEiK0Wq2YNGmSSE9Plzd0K1rbn+rqajFlyhQRFBQk1Gq1iI6OFgsWLGChq5txxXHX0Vx5LHQUVxmfOpurjRmOZssxe01Njbj33nuFn5+fcHd3F9dee223m4hItpOEEKLD082JiIiIiIiIiIiIiLqB7tWQmIiIiIiIiIiIiIioA1gUJyIiIiIiIiIiIqIeg0VxIiIiIiIiIiIiIuoxWBQnIiIiIiIiIiIioh6DRXEiIiIiIiIiIiIi6jFYFCciIiIiIiIiIiKiHoNFcSIiIiIiIiIiIiLqMVgUJyIiIiIiIiIiIqIeg0VxIiIiIiIiIiIiIuoxWBQnIiIiIiIiIiIioh6DRXEiIiIiIiIiIiIi6jFYFCciIiIiIiIiIiKiHuP/A4DhYvMAHG9VAAAAAElFTkSuQmCC\n"
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"metadata": {}
},
{
"output_type": "stream",
"name": "stdout",
"text": [
"GROUP A\n",
"* Mimovládky prekážajú najmä totalitným režimom. Tam sa kritizovať nepatrí.\n",
" 98% of those in group A who voted on statement 21 agreed.\n",
"\n",
"* Problém je, že politické mimovládky boli založené s cieľom manipulovať verejnosť.\n",
" 84% of those in group A who voted on statement 33 disagreed.\n",
"\n",
"* Všetky mimovládne organizácie, ktoré dostávajú peniaze zo zahraničia a robia politickú činnosť, by mali byť označené: zahraničný agent.\n",
" 90% of those in group A who voted on statement 35 disagreed.\n",
"\n",
"* Slovensko nie je samostatné, a k jeho koloniálnemu statusu prispievajú aj niektoré politické neziskovky.\n",
" 86% of those in group A who voted on statement 38 disagreed.\n",
"\n",
"* Jednoznacne mimovladky obmedzit. Hlavne politicke!!! Nie su to volene organy. Preco by sa mali vyjadrovat ku politickym zalezitostiam?\n",
" 84% of those in group A who voted on statement 45 disagreed.\n",
"\n",
"\n",
"GROUP B\n",
"* Slovensko nie je samostatné, a k jeho koloniálnemu statusu prispievajú aj niektoré politické neziskovky.\n",
" 88% of those in group B who voted on statement 38 agreed.\n",
"\n",
"* Všetky mimovládne organizácie, ktoré dostávajú peniaze zo zahraničia a robia politickú činnosť, by mali byť označené: zahraničný agent.\n",
" 88% of those in group B who voted on statement 35 agreed.\n",
"\n",
"* Problém je, že politické mimovládky boli založené s cieľom manipulovať verejnosť.\n",
" 91% of those in group B who voted on statement 33 agreed.\n",
"\n",
"* Všetky mimovládky, ktoré sa miešajú do politiky zákazať\n",
" 86% of those in group B who voted on statement 31 agreed.\n",
"\n",
"* Mimovládky prekážajú najmä totalitným režimom. Tam sa kritizovať nepatrí.\n",
" 74% of those in group B who voted on statement 21 disagreed.\n",
"\n",
"\n",
"\n",
"GROUP A\n",
"* Mimovládky prekážajú najmä totalitným režimom. Tam sa kritizovať nepatrí.\n",
" 98% of those in group A who voted on statement 21 agreed.\n",
"\n",
"* Všetky mimovládne organizácie, ktoré dostávajú peniaze zo zahraničia a robia politickú činnosť, by mali byť označené: zahraničný agent.\n",
" 92% of those in group A who voted on statement 35 disagreed.\n",
"\n",
"* Jednoznacne mimovladky obmedzit. Hlavne politicke!!! Nie su to volene organy. Preco by sa mali vyjadrovat ku politickym zalezitostiam?\n",
" 88% of those in group A who voted on statement 45 disagreed.\n",
"\n",
"* USA chce nasilu presadzovat, ze len ich nazor je spravny (len oni maju recept na pravdu), preto americke SEREŠ- organizacie treba zakazat!!!\n",
" 93% of those in group A who voted on statement 61 disagreed.\n",
"\n",
"* Slovensko nie je samostatné, a k jeho koloniálnemu statusu prispievajú aj niektoré politické neziskovky.\n",
" 89% of those in group A who voted on statement 38 disagreed.\n",
"\n",
"\n",
"GROUP B\n",
"* Všetky mimovládky, ktoré sa miešajú do politiky zákazať\n",
" 98% of those in group B who voted on statement 31 agreed.\n",
"\n",
"* Všetky mimovládne organizácie, ktoré dostávajú peniaze zo zahraničia a robia politickú činnosť, by mali byť označené: zahraničný agent.\n",
" 99% of those in group B who voted on statement 35 agreed.\n",
"\n",
"* Slovensko nie je samostatné, a k jeho koloniálnemu statusu prispievajú aj niektoré politické neziskovky.\n",
" 96% of those in group B who voted on statement 38 agreed.\n",
"\n",
"* Mimovládky prekážajú najmä totalitným režimom. Tam sa kritizovať nepatrí.\n",
" 86% of those in group B who voted on statement 21 disagreed.\n",
"\n",
"* Mimovládky robia viac dobra, ako zla.\n",
" 84% of those in group B who voted on statement 3 disagreed.\n",
"\n",
"\n",
"GROUP C\n",
"* musia mať transparentný účet , občan ma právo vedieť, kto ich financuje a komu idú peniaze, nech vidíme kto za koho kope\n",
" 84% of those in group C who voted on statement 42 agreed.\n",
"\n",
"* Nemyslím, že démonizujeme mimovládky. NGO vykonávajú to, čo chcú ich najväčší sponzori- t.j. najbohatší ľudia a často ich vlastné NGO.\n",
" 73% of those in group C who voted on statement 30 agreed.\n",
"\n",
"* MNO sa môžu vyjadrovať k politikám, nemali by však propagovať konkrétnych kandidátov a strany\n",
" 78% of those in group C who voted on statement 78 agreed.\n",
"\n",
"* MNO platené zo zahraničia sú predlženou rukou našich nových pánov. Vraj sme zvrchovaný štát. Zlý vtip.\n",
" 71% of those in group C who voted on statement 87 agreed.\n",
"\n",
"* USA chce nasilu presadzovat, ze len ich nazor je spravny (len oni maju recept na pravdu), preto americke SEREŠ- organizacie treba zakazat!!!\n",
" 70% of those in group C who voted on statement 61 agreed.\n",
"\n",
"\n",
"\n",
"GROUP A\n",
"* musia mať transparentný účet , občan ma právo vedieť, kto ich financuje a komu idú peniaze, nech vidíme kto za koho kope\n",
" 84% of those in group A who voted on statement 42 agreed.\n",
"\n",
"* Nemyslím, že démonizujeme mimovládky. NGO vykonávajú to, čo chcú ich najväčší sponzori- t.j. najbohatší ľudia a často ich vlastné NGO.\n",
" 73% of those in group A who voted on statement 30 agreed.\n",
"\n",
"* MNO sa môžu vyjadrovať k politikám, nemali by však propagovať konkrétnych kandidátov a strany\n",
" 78% of those in group A who voted on statement 78 agreed.\n",
"\n",
"* MNO platené zo zahraničia sú predlženou rukou našich nových pánov. Vraj sme zvrchovaný štát. Zlý vtip.\n",
" 71% of those in group A who voted on statement 87 agreed.\n",
"\n",
"* USA chce nasilu presadzovat, ze len ich nazor je spravny (len oni maju recept na pravdu), preto americke SEREŠ- organizacie treba zakazat!!!\n",
" 70% of those in group A who voted on statement 61 agreed.\n",
"\n",
"\n",
"GROUP B\n",
"* Všetky mimovládky, ktoré sa miešajú do politiky zákazať\n",
" 98% of those in group B who voted on statement 31 agreed.\n",
"\n",
"* Všetky mimovládne organizácie, ktoré dostávajú peniaze zo zahraničia a robia politickú činnosť, by mali byť označené: zahraničný agent.\n",
" 99% of those in group B who voted on statement 35 agreed.\n",
"\n",
"* Slovensko nie je samostatné, a k jeho koloniálnemu statusu prispievajú aj niektoré politické neziskovky.\n",
" 96% of those in group B who voted on statement 38 agreed.\n",
"\n",
"* Mimovládky prekážajú najmä totalitným režimom. Tam sa kritizovať nepatrí.\n",
" 86% of those in group B who voted on statement 21 disagreed.\n",
"\n",
"* Mimovládky robia viac dobra, ako zla.\n",
" 84% of those in group B who voted on statement 3 disagreed.\n",
"\n",
"\n",
"GROUP C\n",
"* Mimovládky prekážajú najmä totalitným režimom. Tam sa kritizovať nepatrí.\n",
" 92% of those in group C who voted on statement 21 agreed.\n",
"\n",
"* Jednoznacne mimovladky obmedzit. Hlavne politicke!!! Nie su to volene organy. Preco by sa mali vyjadrovat ku politickym zalezitostiam?\n",
" 100% of those in group C who voted on statement 45 disagreed.\n",
"\n",
"* Všetky mimovládne organizácie, ktoré dostávajú peniaze zo zahraničia a robia politickú činnosť, by mali byť označené: zahraničný agent.\n",
" 94% of those in group C who voted on statement 35 disagreed.\n",
"\n",
"* Všetky mimovládky, ktoré sa miešajú do politiky zákazať\n",
" 88% of those in group C who voted on statement 31 disagreed.\n",
"\n",
"* Ak niekto chce ovplyvnovať v politických otázkach, tak nech otvorene vstúpi do strany a angažuje sa a neskrýva sa za MNO.\n",
" 84% of those in group C who voted on statement 46 disagreed.\n",
"\n",
"\n",
"GROUP D\n",
"* Mimovládky prekážajú najmä totalitným režimom. Tam sa kritizovať nepatrí.\n",
" 100% of those in group D who voted on statement 21 agreed.\n",
"\n",
"* USA chce nasilu presadzovat, ze len ich nazor je spravny (len oni maju recept na pravdu), preto americke SEREŠ- organizacie treba zakazat!!!\n",
" 96% of those in group D who voted on statement 61 disagreed.\n",
"\n",
"* MNO platené zo zahraničia sú predlženou rukou našich nových pánov. Vraj sme zvrchovaný štát. Zlý vtip.\n",
" 100% of those in group D who voted on statement 87 disagreed.\n",
"\n",
"* Slovensko nie je samostatné, a k jeho koloniálnemu statusu prispievajú aj niektoré politické neziskovky.\n",
" 97% of those in group D who voted on statement 38 disagreed.\n",
"\n",
"* Problém je, že niektoré politické neziskovky sú platené zvonku s cieľom ovplyvňovať slovenskú spoločnosť.\n",
" 80% of those in group D who voted on statement 52 disagreed.\n",
"\n",
"\n",
"GROUP E\n",
"* Mimovládky prekážajú najmä totalitným režimom. Tam sa kritizovať nepatrí.\n",
" 100% of those in group E who voted on statement 21 agreed.\n",
"\n",
"* Mimovládnym organizáciám spravidla dôverujem.\n",
" 87% of those in group E who voted on statement 0 agreed.\n",
"\n",
"* Slovensko nie je samostatné, a k jeho koloniálnemu statusu prispievajú aj niektoré politické neziskovky.\n",
" 100% of those in group E who voted on statement 38 disagreed.\n",
"\n",
"* Mali by sme zrušiť mimovládky, ktoré podporujú naši spojenci.\n",
" 100% of those in group E who voted on statement 19 disagreed.\n",
"\n",
"* Všetky mimovládne organizácie, ktoré dostávajú peniaze zo zahraničia a robia politickú činnosť, by mali byť označené: zahraničný agent.\n",
" 93% of those in group E who voted on statement 35 disagreed.\n",
"\n",
"\n",
"\n",
"PCA PaCMAP LocalMAP\n",
"------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------\n",
"GROUP A GROUP A GROUP A\n",
"* Mimovládky prekážajú najmä totalitným režimom. Tam * Mimovládky prekážajú najmä totalitným režimom. Tam * musia mať transparentný účet , občan ma právo\n",
"sa kritizovať nepatrí. sa kritizovať nepatrí. vedieť, kto ich financuje a komu idú peniaze, nech vidíme\n",
" 98% of those in group A who voted 98% of those in group A who voted kto za koho kope\n",
"on statement 21 agreed. on statement 21 agreed. 84% of those in group A who voted on\n",
" statement 42 agreed.\n",
"* Problém je, že politické * Všetky mimovládne organizácie,\n",
"mimovládky boli založené s cieľom manipulovať verejnosť. ktoré dostávajú peniaze zo zahraničia a robia politickú * Nemyslím, že démonizujeme\n",
"84% of those in group A who voted on statement 33 disagreed. činnosť, by mali byť označené: zahraničný agent. mimovládky. NGO vykonávajú to, čo chcú ich najväčší\n",
"* Všetky mimovládne organizácie, ktoré dostávajú peniaze zo 92% of sponzori- t.j. najbohatší ľudia a často ich vlastné NGO.\n",
"zahraničia a robia politickú činnosť, by mali byť označené: those in group A who voted on statement 35 disagreed. 73% of those in group A who voted on statement 30 agreed.\n",
"zahraničný agent.\n",
" 90% of those in group A who voted on * *\n",
"statement 35 disagreed. Jednoznacne mimovladky obmedzit. Hlavne politicke!!! Nie su MNO sa môžu vyjadrovať k politikám, nemali by však\n",
" to volene organy. Preco by sa mali vyjadrovat ku politickym propagovať konkrétnych kandidátov a strany\n",
"* Slovensko nie je samostatné, a k zalezitostiam? 78% of those\n",
"jeho koloniálnemu statusu prispievajú aj niektoré politické 88% of those in group A who voted on in group A who voted on statement 78 agreed.\n",
"neziskovky. statement 45 disagreed.\n",
" 86% of those in group A who voted on * MNO platené\n",
"statement 38 disagreed. * USA chce nasilu presadzovat, ze zo zahraničia sú predlženou rukou našich nových pánov. Vraj\n",
" len ich nazor je spravny (len oni maju recept na pravdu), sme zvrchovaný štát. Zlý vtip.\n",
"* Jednoznacne mimovladky obmedzit. preto americke SEREŠ- organizacie treba zakazat!!! 71% of those in group A\n",
"Hlavne politicke!!! Nie su to volene organy. Preco by sa 93% of who voted on statement 87 agreed.\n",
"mali vyjadrovat ku politickym zalezitostiam? those in group A who voted on statement 61 disagreed.\n",
" 84% of those * USA chce nasilu\n",
"in group A who voted on statement 45 disagreed. * presadzovat, ze len ich nazor je spravny (len oni maju\n",
" Slovensko nie je samostatné, a k jeho koloniálnemu statusu recept na pravdu), preto americke SEREŠ- organizacie treba\n",
" prispievajú aj niektoré politické neziskovky. zakazat!!!\n",
"GROUP B 89% of 70% of those in group A who voted on statement\n",
"* those in group A who voted on statement 38 disagreed. 61 agreed.\n",
"Slovensko nie je samostatné, a k jeho koloniálnemu statusu GROUP B\n",
"prispievajú aj niektoré politické neziskovky. * Všetky mimovládky, ktoré sa miešajú do politiky\n",
" 88% of zákazať GROUP B\n",
"those in group B who voted on statement 38 agreed. 98% of those in group B who voted on statement 31 * Všetky mimovládky, ktoré sa miešajú\n",
" agreed. do politiky zákazať\n",
"* Všetky 98% of those in group B who voted on\n",
"mimovládne organizácie, ktoré dostávajú peniaze zo * Všetky mimovládne organizácie, ktoré dostávajú statement 31 agreed.\n",
"zahraničia a robia politickú činnosť, by mali byť označené: peniaze zo zahraničia a robia politickú činnosť, by mali byť\n",
"zahraničný agent. označené: zahraničný agent. * Všetky mimovládne organizácie, ktoré\n",
" 88% of those in group B who voted on 99% of those in group B who dostávajú peniaze zo zahraničia a robia politickú činnosť,\n",
"statement 35 agreed. voted on statement 35 agreed. by mali byť označené: zahraničný agent.\n",
" 99% of those in\n",
"* Problém je, že politické mimovládky * Slovensko nie je group B who voted on statement 35 agreed.\n",
"boli založené s cieľom manipulovať verejnosť. samostatné, a k jeho koloniálnemu statusu prispievajú aj\n",
" 91% of niektoré politické neziskovky. * Slovensko nie\n",
"those in group B who voted on statement 33 agreed. 96% of those in group B je samostatné, a k jeho koloniálnemu statusu prispievajú aj\n",
" who voted on statement 38 agreed. niektoré politické neziskovky.\n",
"* Všetky 96% of those in group B\n",
"mimovládky, ktoré sa miešajú do politiky zákazať * Mimovládky prekážajú who voted on statement 38 agreed.\n",
" 86% of najmä totalitným režimom. Tam sa kritizovať nepatrí.\n",
"those in group B who voted on statement 31 agreed. 86% * Mimovládky prekážajú\n",
" of those in group B who voted on statement 21 disagreed. najmä totalitným režimom. Tam sa kritizovať nepatrí.\n",
"* 86%\n",
"Mimovládky prekážajú najmä totalitným režimom. Tam sa * of those in group B who voted on statement 21 disagreed.\n",
"kritizovať nepatrí. Mimovládky robia viac dobra, ako zla.\n",
" 74% of those in group B who voted on 84% of those in *\n",
"statement 21 disagreed. group B who voted on statement 3 disagreed. Mimovládky robia viac dobra, ako zla.\n",
" 84% of those in\n",
" group B who voted on statement 3 disagreed.\n",
" GROUP C\n",
" *\n",
" musia mať transparentný účet , občan ma právo vedieť, kto GROUP C\n",
" ich financuje a komu idú peniaze, nech vidíme kto za koho *\n",
" kope Mimovládky prekážajú najmä totalitným režimom. Tam sa\n",
" 84% of those in group C who voted on statement 42 kritizovať nepatrí.\n",
" agreed. 92% of those in group C who voted on\n",
" statement 21 agreed.\n",
" * Nemyslím, že démonizujeme mimovládky. NGO\n",
" vykonávajú to, čo chcú ich najväčší sponzori- t.j. * Jednoznacne mimovladky obmedzit.\n",
" najbohatší ľudia a často ich vlastné NGO. Hlavne politicke!!! Nie su to volene organy. Preco by sa\n",
" 73% of those in mali vyjadrovat ku politickym zalezitostiam?\n",
" group C who voted on statement 30 agreed. 100% of\n",
" those in group C who voted on statement 45 disagreed.\n",
" * MNO sa môžu\n",
" vyjadrovať k politikám, nemali by však propagovať *\n",
" konkrétnych kandidátov a strany Všetky mimovládne organizácie, ktoré dostávajú peniaze zo\n",
" 78% of those in group C zahraničia a robia politickú činnosť, by mali byť označené:\n",
" who voted on statement 78 agreed. zahraničný agent.\n",
" 94% of those in group C who voted on\n",
" * MNO platené zo statement 35 disagreed.\n",
" zahraničia sú predlženou rukou našich nových pánov. Vraj sme\n",
" zvrchovaný štát. Zlý vtip. * Všetky mimovládky, ktoré sa\n",
" 71% of those in group C who miešajú do politiky zákazať\n",
" voted on statement 87 agreed. 88% of those in group C who\n",
" voted on statement 31 disagreed.\n",
" * USA chce nasilu\n",
" presadzovat, ze len ich nazor je spravny (len oni maju * Ak niekto chce\n",
" recept na pravdu), preto americke SEREŠ- organizacie treba ovplyvnovať v politických otázkach, tak nech otvorene vstúpi\n",
" zakazat!!! do strany a angažuje sa a neskrýva sa za MNO.\n",
" 70% of those in group C who voted on statement 84% of\n",
" 61 agreed. those in group C who voted on statement 46 disagreed.\n",
" GROUP D\n",
" * Mimovládky prekážajú najmä totalitným režimom. Tam\n",
" sa kritizovať nepatrí.\n",
" 100% of those in group D who voted\n",
" on statement 21 agreed.\n",
"\n",
" * USA chce nasilu presadzovat, ze\n",
" len ich nazor je spravny (len oni maju recept na pravdu),\n",
" preto americke SEREŠ- organizacie treba zakazat!!!\n",
" 96% of\n",
" those in group D who voted on statement 61 disagreed.\n",
"\n",
" * MNO\n",
" platené zo zahraničia sú predlženou rukou našich nových\n",
" pánov. Vraj sme zvrchovaný štát. Zlý vtip.\n",
" 100% of those\n",
" in group D who voted on statement 87 disagreed.\n",
"\n",
" * Slovensko\n",
" nie je samostatné, a k jeho koloniálnemu statusu prispievajú\n",
" aj niektoré politické neziskovky.\n",
" 97% of those in group D\n",
" who voted on statement 38 disagreed.\n",
"\n",
" * Problém je, že\n",
" niektoré politické neziskovky sú platené zvonku s cieľom\n",
" ovplyvňovať slovenskú spoločnosť.\n",
" 80% of those in group D\n",
" who voted on statement 52 disagreed.\n",
"\n",
"\n",
" GROUP E\n",
" * Mimovládky\n",
" prekážajú najmä totalitným režimom. Tam sa kritizovať\n",
" nepatrí.\n",
" 100% of those in group E who voted on statement\n",
" 21 agreed.\n",
"\n",
" * Mimovládnym organizáciám spravidla dôverujem.\n",
" 87% of those in group E who voted on statement 0 agreed.\n",
"\n",
" *\n",
" Slovensko nie je samostatné, a k jeho koloniálnemu statusu\n",
" prispievajú aj niektoré politické neziskovky.\n",
" 100% of\n",
" those in group E who voted on statement 38 disagreed.\n",
"\n",
" *\n",
" Mali by sme zrušiť mimovládky, ktoré podporujú naši\n",
" spojenci.\n",
" 100% of those in group E who voted on statement\n",
" 19 disagreed.\n",
"\n",
" * Všetky mimovládne organizácie, ktoré\n",
" dostávajú peniaze zo zahraničia a robia politickú činnosť,\n",
" by mali byť označené: zahraničný agent.\n",
" 93% of those in\n",
" group E who voted on statement 35 disagreed.\n"
]
}
],
"source": [
"%pip install --quiet tabulate\n",
"\n",
"import math\n",
"from reddwarf.utils.clustering import find_optimal_k\n",
"from reddwarf.utils.stats import calculate_comment_statistics_dataframes, select_representative_statements\n",
"import pandas as pd\n",
"\n",
"from tabulate import tabulate\n",
"from reddwarf.data_presenter import print_repness\n",
"\n",
"# Plotting\n",
"pid_labels = raw_vote_matrix.index[cluster_mask].to_list()\n",
"\n",
"MAX_COLS = 3 # <-- How many plots per row\n",
"n_embeddings = len(embeddings)\n",
"n_cols = min(MAX_COLS, n_embeddings)\n",
"n_rows = math.ceil(n_embeddings / MAX_COLS)\n",
"\n",
"fig, axes = plt.subplots(n_rows, n_cols, figsize=(5 * n_cols, 5 * n_rows))\n",
"\n",
"FLIP_X = False\n",
"FLIP_Y = True\n",
"# Set to name of algo: \"PCA\", \"PaCMAP\", \"LocalMAP\"\n",
"# Set to \"polis\" to show originals from API.\n",
"LOCK_CLUSTER = \"polis\"\n",
"LOCK_CLUSTER = \"LocalMAP\"\n",
"LOCK_CLUSTER = False\n",
"\n",
"# Ensure axes is a flat list, even if 1 row\n",
"axes = np.atleast_1d(axes).flatten()\n",
"\n",
"# Save the last scatterplot to add colorbar\n",
"sc = None\n",
"\n",
"for ax, (name, data) in zip(axes, embeddings.items()):\n",
" X = data[\"X\"]\n",
" x = X[cluster_mask, 0]\n",
" y = X[cluster_mask, 1]\n",
"\n",
" kmeans = data[\"kmeans\"]\n",
"\n",
" if not LOCK_CLUSTER:\n",
" colors = kmeans.labels_ if kmeans else None\n",
" else:\n",
" if LOCK_CLUSTER == \"polis\":\n",
" colors = cluster_labels\n",
" else:\n",
" colors = embeddings[LOCK_CLUSTER][\"kmeans\"].labels_\n",
"\n",
" sc = ax.scatter(x, y, c=colors, cmap='tab10')\n",
" ax.set_title(f\"{name} Projection\")\n",
"\n",
" # Too crowded for participant ID labels.\n",
" # for xi, yi, label in zip(x, y, pid_labels):\n",
" # ax.text(xi, yi, label, fontsize=6, color=\"gray\", ha='right', va='bottom')\n",
" if FLIP_X:\n",
" ax.invert_xaxis()\n",
" if FLIP_Y:\n",
" ax.invert_yaxis()\n",
"\n",
"# Add one colorbar\n",
"cbar = fig.colorbar(sc, ax=ax)\n",
"cbar.set_label('Cluster Label') # Optional label for the colorbar\n",
"\n",
"# Hide any unused axes (if there are extra empty slots)\n",
"for i in range(len(embeddings), len(axes)):\n",
" axes[i].axis('off')\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"\n",
"import io\n",
"import contextlib\n",
"import textwrap\n",
"\n",
"cols = []\n",
"# Write the representative group statements below.\n",
"for name, data in embeddings.items():\n",
" grouped_stats_df, gac_df = calculate_comment_statistics_dataframes(\n",
" vote_matrix=raw_vote_matrix.loc[all_clustered_participant_ids, :],\n",
" cluster_labels=data[\"kmeans\"].labels_,\n",
" )\n",
" repness = select_representative_statements(grouped_stats_df=grouped_stats_df)\n",
"\n",
" string_io = io.StringIO()\n",
" with contextlib.redirect_stdout(string_io):\n",
" print_repness(repness=repness, statements_data=loader.comments_data)\n",
" output = string_io.getvalue()\n",
" print(output)\n",
" output = textwrap.wrap(output, width=60, replace_whitespace=False)\n",
" output = \"\\n\".join(output)\n",
" cols.append((name, output))\n",
"\n",
"headers, data = zip(*cols)\n",
"print(tabulate([data], headers=headers))\n"
]
}
],
"metadata": {
"colab": {
"provenance": [],
"gpuType": "T4",
"include_colab_link": true
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
},
"accelerator": "GPU"
},
"nbformat": 4,
"nbformat_minor": 0
}
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