druid/examples/quickstart/jupyter-notebooks/kafka-tutorial.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Ingest and query data from Apache Kafka\n",
"\n",
"<!--\n",
" ~ Licensed to the Apache Software Foundation (ASF) under one\n",
" ~ or more contributor license agreements. See the NOTICE file\n",
" ~ distributed with this work for additional information\n",
" ~ regarding copyright ownership. The ASF licenses this file\n",
" ~ to you under the Apache License, Version 2.0 (the\n",
" ~ \"License\"); you may not use this file except in compliance\n",
" ~ with the License. You may obtain a copy of the License at\n",
" ~\n",
" ~ http://www.apache.org/licenses/LICENSE-2.0\n",
" ~\n",
" ~ Unless required by applicable law or agreed to in writing,\n",
" ~ software distributed under the License is distributed on an\n",
" ~ \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n",
" ~ KIND, either express or implied. See the License for the\n",
" ~ specific language governing permissions and limitations\n",
" ~ under the License.\n",
" -->\n",
"\n",
"This tutorial introduces you to streaming ingestion in Apache Druid using the Apache Kafka event streaming platform.\n",
"Follow along to learn how to create and load data into a Kafka topic, start ingesting data from the topic into Druid, and query results over time. This tutorial assumes you have a basic understanding of Druid ingestion, querying, and API requests."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Table of contents\n",
"\n",
"* [Prerequisites](#Prerequisites)\n",
"* [Load Druid API client](#Load-Druid-API-client)\n",
"* [Create Kafka topic](#Create-Kafka-topic)\n",
"* [Load data into Kafka topic](#Load-data-into-Kafka-topic)\n",
"* [Start Druid ingestion](#Start-Druid-ingestion)\n",
"* [Query Druid datasource and visualize query results](#Query-Druid-datasource-and-visualize-query-results)\n",
"* [Learn more](#Learn-more)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Prerequisites\n",
"\n",
"This tutorial works with Druid 25.0.0 or later.\n",
"\n",
"Launch this tutorial and all prerequisites using the `all-services` profile of the Docker Compose file for Jupyter-based Druid tutorials. For more information, see [Docker for Jupyter Notebook tutorials](https://druid.apache.org/docs/latest/tutorials/tutorial-jupyter-docker.html).\n",
"\n",
"If you do not use the Docker Compose environment, you need the following:\n",
"* A running Druid instance.\n",
" * Update the `druid_host` variable to point to your Router endpoint. For example, `druid_host = \"http://localhost:8888\"`.\n",
" * Update the `rest_client` variable to point to your Coordinator endpoint. For example, `\"http://localhost:8081\"`.\n",
"* A running Kafka cluster.\n",
" * Update the Kafka bootstrap servers to point to your servers. For example, `bootstrap_servers=[\"localhost:9092\"]`.\n",
"* The following Python packages:\n",
" * `druidapi`, a Python client for Apache Druid\n",
" * `DruidDataDriver`, a data generator\n",
" * `kafka`, a Python client for Apache Kafka\n",
" * `pandas`, `matplotlib`, and `seaborn` for data visualization\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Load Druid API client"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To start the tutorial, run the following cell. It imports the required Python packages and defines a variable for the Druid client, and another for the SQL client used to run SQL commands."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
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"<style>\n",
" .druid table {\n",
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"\n",
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" padding: 4px 1em ;\n",
" text-align: left;\n",
" }\n",
"\n",
" td.druid-right, th.druid-right {\n",
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"\n",
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"\n",
" .druid .druid-left {\n",
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"\n",
" .druid-alert {\n",
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"text/plain": [
"<IPython.core.display.HTML object>"
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"metadata": {},
"output_type": "display_data"
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],
"source": [
"import druidapi\n",
"import json\n",
"\n",
"# druid_host is the hostname and port for your Druid deployment. \n",
"# In the Docker Compose tutorial environment, this is the Router\n",
"# service running at \"http://router:8888\".\n",
"# If you are not using the Docker Compose environment, edit the `druid_host`.\n",
"\n",
"druid_host = \"http://router:8888\"\n",
"druid_host\n",
"\n",
"druid = druidapi.jupyter_client(druid_host)\n",
"display = druid.display\n",
"sql_client = druid.sql\n",
"\n",
"# Create a rest client for native JSON ingestion for streaming data\n",
"rest_client = druidapi.rest.DruidRestClient(\"http://coordinator:8081\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Create Kafka topic"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This notebook relies on the Python client for the Apache Kafka. Import the Kafka producer and consumer modules, then create a Kafka client. You use the Kafka producer to create and publish records to a new topic named `social_media`."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"from kafka import KafkaProducer\n",
"from kafka import KafkaConsumer\n",
"\n",
"# Kafka runs on kafka:9092 in multi-container tutorial application\n",
"producer = KafkaProducer(bootstrap_servers='kafka:9092')\n",
"topic_name = \"social_media\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Create the `social_media` topic and send a sample event. The `send()` command returns a metadata descriptor for the record."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<kafka.producer.future.FutureRecordMetadata at 0x7f5f65344610>"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"event = {\n",
" \"__time\": \"2023-01-03T16:40:21.501\",\n",
" \"username\": \"willow\",\n",
" \"post_title\": \"This title is required\",\n",
" \"views\": 15284,\n",
" \"upvotes\": 124,\n",
" \"comments\": 21,\n",
" \"edited\": \"True\"\n",
"}\n",
"\n",
"producer.send(topic_name, json.dumps(event).encode('utf-8'))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To verify that the Kafka topic stored the event, create a consumer client to read records from the Kafka cluster, and get the next (only) message:"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{\"__time\": \"2023-01-03T16:40:21.501\", \"username\": \"willow\", \"post_title\": \"This title is required\", \"views\": 15284, \"upvotes\": 124, \"comments\": 21, \"edited\": \"True\"}\n"
]
}
],
"source": [
"consumer = KafkaConsumer(topic_name, bootstrap_servers=['kafka:9092'], auto_offset_reset='earliest',\n",
" enable_auto_commit=True)\n",
"\n",
"print(next(consumer).value.decode('utf-8'))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Load data into Kafka topic"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Instead of manually creating events to send to the Kafka topic, use a data generator to simulate a continuous data stream. This tutorial makes use of Druid Data Driver to simulate a continuous data stream into the `social_media` Kafka topic. To learn more about the Druid Data Driver, see the Druid Summit talk, [Generating Time centric Data for Apache Druid](https://www.youtube.com/watch?v=3zAOeLe3iAo).\n",
"\n",
"In this notebook, you use a background process to continuously load data into the Kafka topic.\n",
"This allows you to keep executing commands in this notebook while data is constantly being streamed into the topic."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Run the following cells to load sample data into the `social_media` Kafka topic:"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"import multiprocessing as mp\n",
"from datetime import datetime\n",
"import DruidDataDriver"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"def run_driver():\n",
" DruidDataDriver.simulate(\"kafka_docker_config.json\", None, None, \"REAL\", datetime.now())\n",
" \n",
"mp.set_start_method('fork')\n",
"ps = mp.Process(target=run_driver)\n",
"ps.start()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Start Druid ingestion"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now that you have a new Kafka topic and data being streamed into the topic, you ingest the data into Druid by submitting a Kafka ingestion spec.\n",
"The ingestion spec describes the following:\n",
"* where to source the data to ingest (in `spec > ioConfig`),\n",
"* the datasource to ingest data into (in `spec > dataSchema > dataSource`), and\n",
"* what the data looks like (in `spec > dataSchema > dimensionsSpec`).\n",
"\n",
"Other properties control how Druid aggregates and stores data. For more information, see the Druid documenation:\n",
"* [Apache Kafka ingestion](https://druid.apache.org/docs/latest/development/extensions-core/kafka-ingestion.html)\n",
"* [Ingestion spec reference](https://druid.apache.org/docs/latest/ingestion/ingestion-spec.html)\n",
"\n",
"Run the following cells to define and view the Kafka ingestion spec."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"kafka_ingestion_spec = \"{\\\"type\\\": \\\"kafka\\\",\\\"spec\\\": {\\\"ioConfig\\\": {\\\"type\\\": \\\"kafka\\\",\\\"consumerProperties\\\": {\\\"bootstrap.servers\\\": \\\"kafka:9092\\\"},\\\"topic\\\": \\\"social_media\\\",\\\"inputFormat\\\": {\\\"type\\\": \\\"json\\\"},\\\"useEarliestOffset\\\": true},\\\"tuningConfig\\\": {\\\"type\\\": \\\"kafka\\\"},\\\"dataSchema\\\": {\\\"dataSource\\\": \\\"social_media\\\",\\\"timestampSpec\\\": {\\\"column\\\": \\\"__time\\\",\\\"format\\\": \\\"iso\\\"},\\\"dimensionsSpec\\\": {\\\"dimensions\\\": [\\\"username\\\",\\\"post_title\\\",{\\\"type\\\": \\\"long\\\",\\\"name\\\": \\\"views\\\"},{\\\"type\\\": \\\"long\\\",\\\"name\\\": \\\"upvotes\\\"},{\\\"type\\\": \\\"long\\\",\\\"name\\\": \\\"comments\\\"},\\\"edited\\\"]},\\\"granularitySpec\\\": {\\\"queryGranularity\\\": \\\"none\\\",\\\"rollup\\\": false,\\\"segmentGranularity\\\": \\\"hour\\\"}}}}\""
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{\n",
" \"type\": \"kafka\",\n",
" \"spec\": {\n",
" \"ioConfig\": {\n",
" \"type\": \"kafka\",\n",
" \"consumerProperties\": {\n",
" \"bootstrap.servers\": \"kafka:9092\"\n",
" },\n",
" \"topic\": \"social_media\",\n",
" \"inputFormat\": {\n",
" \"type\": \"json\"\n",
" },\n",
" \"useEarliestOffset\": true\n",
" },\n",
" \"tuningConfig\": {\n",
" \"type\": \"kafka\"\n",
" },\n",
" \"dataSchema\": {\n",
" \"dataSource\": \"social_media\",\n",
" \"timestampSpec\": {\n",
" \"column\": \"__time\",\n",
" \"format\": \"iso\"\n",
" },\n",
" \"dimensionsSpec\": {\n",
" \"dimensions\": [\n",
" \"username\",\n",
" \"post_title\",\n",
" {\n",
" \"type\": \"long\",\n",
" \"name\": \"views\"\n",
" },\n",
" {\n",
" \"type\": \"long\",\n",
" \"name\": \"upvotes\"\n",
" },\n",
" {\n",
" \"type\": \"long\",\n",
" \"name\": \"comments\"\n",
" },\n",
" \"edited\"\n",
" ]\n",
" },\n",
" \"granularitySpec\": {\n",
" \"queryGranularity\": \"none\",\n",
" \"rollup\": false,\n",
" \"segmentGranularity\": \"hour\"\n",
" }\n",
" }\n",
" }\n",
"}\n"
]
}
],
"source": [
"print(json.dumps(json.loads(kafka_ingestion_spec), indent=4))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Send the spec to Druid to start the streaming ingestion from Kafka:"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Response [200]>"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"headers = {\n",
" 'Content-Type': 'application/json'\n",
"}\n",
"\n",
"rest_client.post(\"/druid/indexer/v1/supervisor\", kafka_ingestion_spec, headers=headers)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A `200` response indicates that the request was successful. You can view the running ingestion task and the new datasource in the web console at http://localhost:8888/unified-console.html."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Query Druid datasource and visualize query results"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You can now query the new datasource called `social_media`. In this section, you also visualize query results using the Matplotlib and Seaborn visualization libraries. Run the following cell import these packages."
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import matplotlib\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Run a simple query to view a subset of rows from the new datasource:"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div class=\"druid\"><table>\n",
"<tr><th>__time</th><th>username</th><th>post_title</th><th>views</th><th>upvotes</th><th>comments</th><th>edited</th></tr>\n",
"<tr><td>2023-01-03T16:40:21.501Z</td><td>willow</td><td>This title is required</td><td>15284</td><td>124</td><td>21</td><td>True</td></tr>\n",
"<tr><td>2023-05-02T23:34:54.451Z</td><td>gus</td><td>3y4hkmd1!&#x27;Er4;</td><td>4031</td><td>93</td><td>15</td><td>False</td></tr>\n",
"<tr><td>2023-05-02T23:34:55.454Z</td><td>mia</td><td>m62u53:D9s2bOvnY_VM9vjtZ&#x27;MyDLvQ7_xGodAP:ZNTXM6cFAt,_jrxBVBeRILLvAF9Z!jM9YNN;3ErV5eGbE_TFQS</td><td>16060</td><td>84</td><td>8</td><td>True</td></tr>\n",
"<tr><td>2023-05-02T23:34:55.455Z</td><td>jojo</td><td>rAmeAJrjs;FBj:zy2MwoGh_P_SowlLTfp6zhX55xqogH.,1DC2xY_x2T;M_Vcu3QWaz650u;Roa</td><td>14313</td><td>65</td><td>7</td><td>False</td></tr>\n",
"<tr><td>2023-05-02T23:34:56.456Z</td><td>willow</td><td>3bHB,iJdE;sedTDA,1dKGDAZL!qdsvO_tv.4Jrq7fa.KWcHPD&#x27;TB_5nnvsf9EgtnN8tGeeA0MjKc30iubJ:D&#x27;l7pHNihWpFz8K&#x27;46q!vJs</td><td>4237</td><td>112</td><td>3</td><td>True</td></tr>\n",
"</table></div>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sql = '''\n",
"SELECT * FROM social_media LIMIT 5\n",
"'''\n",
"display.sql(sql)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In this social media scenario, each incoming event represents a post on social media, for which you collect the timestamp, username, and post metadata. You are interested in analyzing the total number of upvotes for all posts, compared between users. Preview this data with the following query:"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div class=\"druid\"><table>\n",
"<tr><th>num_posts</th><th>total_upvotes</th><th>username</th></tr>\n",
"<tr><td>155</td><td>10985</td><td>willow</td></tr>\n",
"<tr><td>161</td><td>11223</td><td>gus</td></tr>\n",
"<tr><td>164</td><td>11456</td><td>leon</td></tr>\n",
"<tr><td>173</td><td>12098</td><td>jojo</td></tr>\n",
"<tr><td>176</td><td>12175</td><td>mia</td></tr>\n",
"<tr><td>177</td><td>11998</td><td>milton</td></tr>\n",
"<tr><td>185</td><td>13256</td><td>miette</td></tr>\n",
"<tr><td>188</td><td>13360</td><td>rocket</td></tr>\n",
"</table></div>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sql = '''\n",
"SELECT\n",
" COUNT(post_title) as num_posts,\n",
" SUM(upvotes) as total_upvotes,\n",
" username\n",
"FROM social_media\n",
"GROUP BY username\n",
"ORDER BY num_posts\n",
"'''\n",
"\n",
"response = sql_client.sql_query(sql)\n",
"response.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Visualize the total number of upvotes per user using a line plot. You sort the results by username before plotting because the order of users may vary as new results arrive."
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df = pd.DataFrame(response.json)\n",
"df = df.sort_values('username')\n",
"\n",
"df.plot(x='username', y='total_upvotes', marker='o')\n",
"plt.xticks(rotation=45, ha='right')\n",
"plt.ylabel(\"Total number of upvotes\")\n",
"plt.gca().get_legend().remove()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The total number of upvotes likely depends on the total number of posts created per user. To better assess the relative impact per user, you compare the total number of upvotes (line plot) with the total number of posts."
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7f5f18400310>"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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iYWtnLpZgMit4ujhYK1S/53dpqIVUroQQ9XXmzBk0Gg0JCQlqh2J1/PhxbrzxRpycnIiNjVU7nGYnK6KFEMLOOBv0/PmmzpgVhbW7z1inBc4cHC7TAtsI68bB/m6gqXtYhaVyJcmVEJflHVzeYtfy7je/wc+ZNWsWa9eu5eWXX+aZZ56x3r9hwwZuv/12FEWxYYStw6JFi3B1dSUpKQk3t7or9c3thx9+YNSoUeTl5eHl5dWs15LKlRBC2KHXNiXRu4Mn+/46hgPPjWHPs6Pp1cGT0zklaocmmqjKZCYl59otgQC+bo6gqd5ouNRY9xo8IYT9cXJy4tVXXyUvL0/tUGzGaGx8e3JycjLDhg2jU6dO+Pr62jAq+yTJlRBC2JnMwnI+2nuWBz86wLncMnzdHHnxm2P8+aMDfL7/nNrhiSZKyy2l0mTGzVFPoIfTVY9z0Gnxcq5uGcwpkuqVEK3FmDFjCAoK4uWXX77qMYsXL67VIrd8+XLCw8OtX8+aNYvJkyezZMkSAgMD8fLy4oUXXqCqqoonn3wSHx8fOnbsyAcffFDr/MePH2fIkCE4OTnRq1cvfvzxxxqPHzlyhAkTJuDm5kZgYCDTp08nJyfH+vjIkSOZN28e8+fPx8/Pj3HjxtX5OsxmMy+88AIdO3bE0dGR2NhYNm3aZH1co9Fw4MABXnjhBTQaDYsXL67zPJbrzZs3D09PT/z8/FiwYEGNSl9eXh4zZszA29sbFxcXJkyYwMmTl7csOXv2LJMmTcLb2xtXV1d69uzJxo0bOXPmDKNGjQLA29sbjUbDrFmzAPjiiy/o3bs3zs7O+Pr6MmbMGEpKmvYhpiRXQghhZz77JQ2TWeGGcG+6BlZXNuJ6BADwzW8XMJnbX1tJW2JpCezi74bmKi2BFrKZsBCtj06nY8mSJbz11lucO9e0D8S+//57Lly4wI4dO1i2bBmLFi3i1ltvxdvbm7179/LQQw/x5z//udZ1nnzySR5//HEOHTrE4MGDmTRpEhcvXgQgPz+fuLg4+vbty/79+9m0aROZmZncfffdNc6xdu1aDAYDu3btYs2aNXXGt2LFCpYuXcrf//53fvvtN8aNG8dtt91mTXrS09Pp2bMnjz/+OOnp6TzxxBNXfa1r165Fr9ezb98+VqxYwbJly3j33Xetj8+aNYv9+/fz9ddfs3v3bhRFYeLEiVRWVk/QnTt3LhUVFezYsYPDhw/z6quv4ubmRmhoKF9++SUASUlJpKens2LFCtLT05kyZQpz5szh2LFj/PDDD/zxj39scuumJFdCCGFHTGaFf+9LBWDqoDDr/SO6++Pp7EBWUQV7Uy6qFZ5oIrNZsbZ2Xqsl0MLf/dI4dqlcCdGq3H777cTGxrJo0aImncfHx4c333yTyMhI5syZQ2RkJKWlpfz1r3+lW7duPPvssxgMBnbu3FnjefPmzeOOO+4gKiqK1atX4+npyXvvvQfAypUr6du3L0uWLKFHjx707duX999/n+3bt3PixAnrObp168Zrr71GZGQkkZGRdcb397//naeffpp7772XyMhIXn31VWJjY1m+fDkAQUFB6PV63NzcCAoKuuaaq9DQUN544w0iIyOZNm0ajzzyCG+88QYAJ0+e5Ouvv+bdd99l+PDhxMTE8PHHH3P+/Hk2bNgAQGpqKkOHDqV379507tyZW2+9lZtuugmdToePjw8AAQEBBAUF4enpSXp6OlVVVfzxj38kPDyc3r178/DDDzd5XZgkV0IIYUd+SMriQkE5Xi4OTOgVbL3foNcyoVcQAF8nXFArPNFE5/PLKK804WzQEeLlfN3jL08MlHHsQn1paWmMHDmS6Oho+vTpw+eff652SHbt1VdfZe3atRw7dqzR5+jZsyfaKzaODwwMpHfv3tavdTodvr6+ZGVl1Xje4MGDrf+t1+sZMGCANY5ff/2V7du34+bmZr316NEDqF4fZdG/f/9rxlZYWMiFCxcYOnRojfuHDh3aqNd844031qjmDx48mJMnT2IymTh27Bh6vZ5BgwZZH/f19SUyMtJ6rUcffZSXXnqJoUOHsmjRIn777bdrXi8mJobRo0fTu3dv7rrrLt555x2brJOT5EoIIezIx3urq1Z39e+I0++mAt4WEwLAt0cyMFbJOPbWyNIS2NnPDa322i2BAH6XJgbmlRgxyQh+oTK9Xs/y5ctJTExk8+bNzJ8/v8nrU9qym266iXHjxvHss8/Wekyr1dZqP7O0t13JwaHmvoYajabO+8wN+P1QXFzMpEmTSEhIqHE7efIkN910k/U4V1fXep/THvzpT3/i9OnTTJ8+ncOHDzNgwADeeuutqx6v0+nYsmUL3377LdHR0bz11ltERkaSkpLSpDgkuRJCCDtxLq+U7UnVnz5OGRhW6/FBnX0JcHekoKySHSeyWzo80USKopCcfWkEez1aAgHcHfU4OegwKwq5Ur0SKgsODrYOYQgKCsLPz4/c3Fx1g7Jzr7zyCv/5z3/YvXt3jfv9/f3JyMiokWDZcm+qPXv2WP+7qqqKAwcOEBUVBUC/fv04evQo4eHhdO3atcatIQmVh4cHISEh7Nq1q8b9u3btIjo6usEx7927t9Zr6NatGzqdjqioKKqqqmocc/HiRZKSkmpcKzQ0lIceeoj169fz+OOP88477wBgMFS3WJtMphrX0Gg0DB06lOeff55Dhw5hMBj46quvGhz7lSS5EkIIO7HulzQUBYZ08aWzf+033zqthlv6VLcKfv2rtAa2NhkF5ZRUVGHQawn1uX5LIAAajWwmbEd27NjBpEmTCAkJQaPRWNd6XI3JZGLBggVERETg7OxMly5dePHFF2u8oV68eDEajabGzdKipUbsq1atIjw8HCcnJwYNGsS+ffvqPO7AgQOYTCZCQ0NtHmtb0rt3b6ZNm8abb75Z4/6RI0eSnZ3Na6+9RnJyMqtWreLbb7+12XVXrVrFV199xfHjx5k7dy55eXnMmTMHqB78kJuby5QpU/jll19ITk7mu+++Y/bs2bWSj+t58sknefXVV1m3bh1JSUk888wzJCQk8Je//KXBMaemphIfH09SUhL//ve/eeutt6zn6datG3/4wx944IEH2LlzJ7/++iv33XcfHTp04A9/+AMA8+fP57vvviMlJYWDBw+yfft2a0LZqVMnNBoN33zzDdnZ2RQXF7N3716WLFnC/v37SU1NZf369WRnZ1uf01iSXAkhhB2oNJn59Jc0AKYN6nTV4yytgVsSM2Xvo1bG0hIY4eeKTlv/P7+WiYEy1EJ9JSUlxMTEsGrVqnod/+qrr7J69WpWrlzJsWPHePXVV3nttddqtSr17NmT9PR06+33wwl+b9euXXW2kCUmJpKZmdno2NetW0d8fDyLFi3i4MGDxMTEMG7cuFrreXJzc5kxYwZvv/32NeMU1V544YVabXtRUVH84x//YNWqVcTExLBv375rTtJrqFdeeYVXXnmFmJgYdu7cyddff42fnx+AtdpkMpkYO3YsvXv3Zv78+Xh5edVY31Ufjz76KPHx8Tz++OP07t2bTZs28fXXX9OtW7cGxzxjxgzKysoYOHAgc+fO5S9/+QsPPvig9fEPPviA/v37c+uttzJ48GAURWHjxo3WNkmTycTcuXOJiopi/PjxdO/enX/84x8AdOjQgeeff55nnnmGwMBA5s2bh4eHBzt27GDixIl0796d5557jqVLlzJhwoQGx34ljdIet4puBufOnSM0NJS0tDQ6duyodjhCiBaUd3B5k89xKrOI/x5Ox8WgZ86wCHRXW4+jKHz48xkKyioZ3yuIyCCPJl8bwLvffJucpz1o1M9bUfjg5zMUllVya59gugS41/upiRcK2JKYSUdvZ+7ob5sqgfy8L7P8/e7atSsODg7MnTuXuXPnXvd5Go2Gr776ismTJ1/1mFtvvZXAwEDrlDaAO+64A2dnZ/71r38B1ZWrDRs21LslzGw2069fP7p168ann36KTle9NjMpKYkRI0YQHx/PU0891ajYBw0axA033MDKlSut1woNDeWRRx7hmWeeAaCiooKbb76ZBx54gOnTp9cr5oYqLy8nJSWFiIgInJyuvhecaDtGjhxZY8qgvWnI/5NSuRJCCDtw+HwBAD1DPK6eWAFoNEQGVr8xP5FR1BKhCRvILqqgsKwSvU5DmG/DFon7u18xMVA+D20227dvJzExsV6JVX0NGTKEbdu2Wcdb//rrr+zcubPWJ+MnT54kJCSEzp07M23aNFJTU696Tq1Wy8aNGzl06BAzZszAbDaTnJxMXFwckydPvm5idTVGo5EDBw4wZsyYGtcaM2aMdb2QoijMmjWLuLi4ZkushGjtJLkSQgiVFZQaSc0tBQ306uB53eMjg6qTqzO5pZRXNqw/Xqjj1KVBFp18XHHQNexPr4+rAa1GQ0WliaIKaQVtTZ555hnuvfdeevTogYODA3379mX+/PlMmzbNesygQYP48MMP2bRpE6tXryYlJYXhw4dTVHT1D09CQkL4/vvv2blzJ1OnTiUuLo4xY8awevXqRseak5ODyWQiMDCwxv2BgYFkZGQA1e2I69atY8OGDcTGxhIbG8vhw4cbfU0h2iK92gEIIUR7Z6lahfu44uHscJ2jwcfNET83R3KKK0jOKqZnPRIyoS7Leqtu9ZwSeCWdVouPq4Gc4gpyiipwd7r+/yPCPnz22Wd8/PHHfPLJJ/Ts2ZOEhATmz59PSEgIM2fOBKhRxerTpw+DBg2iU6dOfPbZZ9x///1XPXdYWBgfffQRI0aMoHPnzrz33ns19ghqDsOGDWvQyG8h6uuHH35QOwSbkcqVEEKoyGQ2c/RCIQC9O9Y/Sep+qTUwKVNaA+1dXkkFuSVGtFoN4X6N2zfGT4ZatEpPPvmktXrVu3dvpk+fzmOPPcbLL7981ed4eXnRvXt3Tp06dc1zZ2Zm8uCDDzJp0iRKS0t57LHHmhSrn58fOp2u1kCMzMxMgoKCmnRuIdoTSa6EEEJFp7KKKa804eakJ7wBa3EsrYFpeaWUSKuYXbNUrcK8XXD83cbQ9WVZd5Uj49hbldLS0lrT13Q63TWrP8XFxSQnJxMcHHzVY3Jychg9ejRRUVGsX7+ebdu2sW7duiZNmzMYDPTv359t27ZZ7zObzWzbto3Bgwc3+rxNITPXhL1oyP+L0hYohBAqsrQE9grxRHutQRa/4+HsQLCnE+kF5ZzILKJvmHdzhSia6FQDNw6ui3Ucu2wkrKri4uIaFaWUlBQSEhLw8fEhLCyMlStX8tVXX1kTlEmTJvG3v/2NsLAwevbsyaFDh1i2bJl1vyGAJ554gkmTJtGpUycuXLjAokWL0Ol0TJkypc4YzGYzEyZMoFOnTqxbtw69Xk90dDRbtmwhLi6ODh061FnFul7sAPHx8cycOZMBAwYwcOBAli9fTklJCbNnz7bJ96++LKO1S0tLcXau555wQjSj0tJS4PL/m9ciyZUQQqgkt7iC83llaDQaeoY0fN1UZKA76QXlJElyZbcKyyrJKqxAo4HO/o1rCQTwczcAkF9mpLLKjINeGk/UsH//fkaNGmX9Oj4+HoCZM2fy4YcfkpOTQ3JysvXxt956iwULFvDwww+TlZVFSEgIf/7zn1m4cKH1mHPnzjFlyhQuXryIv78/w4YNY8+ePfj7+9cZg1arZcmSJQwfPhyDwWC9PyYmhq1bt171edeLHeCee+4hOzubhQsXkpGRQWxsLJs2bao15KK56XQ6vLy8rPtrubi4NPt6MiHqoigKpaWlZGVl4eXlZd364FpknysbkX2uhGi/GrvP1Y9JWSSk5dPF341bL20O3BClFVW8u/M0igKzhoTj6WK4/pOuQvY9qr+G/LwPnc1jx8lsm+xR9e5PpympqOLuAaEEezXt03z5eV8mf7/tk6IoZGRkkJ+fr3YoQuDl5UVQUFC9knypXAkhhAqqTGYS0xs+yOJKLo56Qr1dSM0t5URmETdE+NoyRGED1pZA/8a3BFr4uzlSUlFFTnFFk5MrIeydRqMhODiYgIAAKisr1Q5HtGMODg71qlhZSHIlhBAqOJFZhLHKjIezA2E+Lo0+T2SgO6m5pSRJcmV3SiqquFBQBkCXJqy3svBzd+TMxRKZGCjaFZ1O16A3tkKoTZq2hRBCBZZBFr07eDZpLUGXADd0Wg0Xi41clElydiU5uxgUCPJ0ws0Ge1NdHmohP2chhLBXklwJIUQLyy4sJ6OgHK1WQ3SIR5PO5eigs45wP54he17Zk+Qs27UEAvhfGmpxsdgoI6qFEMJOSXIlhBAtzFK16urvhouh6d3Zlj2vTmQWgbzptgvlRhNpedUtgU0ZwX4lT2cDOq2GSpOZgjJZgyKEEPZIkishhGhBxiqztcLUu0PjBln8XoSfKw46LYVllaQXlNvknKJpTucUoygKfm6OTZrieCWtVoPfpdbAHFl3JYQQdkmSKyGEaEFJGYVUmsx4uxro6G2biW96nZYul/ZQOpEprYH2wNoSaKOqlYV13ZUkV0IIYZckuRJCiJaiKPx2xSALbLgpZmRQ9dqtE5nFmM3SGqgmY5WZs7mlgO2TKz93GWohhBD2TJIrIYRoIRmF5eQUVaDTaogKbtogi98L83HByUFHqbGKc3mlNj23aJgzOSWYzApeLgZ8XW3TEmhhqVzlSHIlhBB2SZIrIYRoIYfPVVetuge64+Rg231btFoN3S5VSZJkaqCqamwcbMPqJIDvpYmBReVVlFeabHpuIYQQTadqcrVjxw4mTZpESEgIGo2GDRs21Hh88eLF9OjRA1dXV7y9vRkzZgx79+6tcUxubi7Tpk3Dw8MDLy8v7r//foqLi2sc89tvvzF8+HCcnJwIDQ3ltddeqxXL559/To8ePXBycqJ3795s3LjR5q9XCNF+VVSaSMq07SCL37NMDTyVXYzJbG6Wa4hrqzKZOZNTAti+JRDAUa/Dw7l6zywZaiGEEPZH1eSqpKSEmJgYVq1aVefj3bt3Z+XKlRw+fJidO3cSHh7O2LFjyc7Oth4zbdo0jh49ypYtW/jmm2/YsWMHDz74oPXxwsJCxo4dS6dOnThw4ACvv/46ixcv5u2337Ye8/PPPzNlyhTuv/9+Dh06xOTJk5k8eTJHjhxpvhcvhGhXjqUXYjJXT48L9nRqlmuEeDnj5qjHWGXmTI60BqohNbeUSpMZNyc9gR6OzXIN2UxYCCHsV9M3WGmCCRMmMGHChKs+PnXq1BpfL1u2jPfee4/ffvuN0aNHc+zYMTZt2sQvv/zCgAEDAHjrrbeYOHEif//73wkJCeHjjz/GaDTy/vvvYzAY6NmzJwkJCSxbtsyahK1YsYLx48fz5JNPAvDiiy+yZcsWVq5cyZo1a5rp1Qsh2g1Fse5t1bujbQdZXEmj0dA90J2DqXkkZRbRpRkqJ+LaTmU1X0ughZ+bI8nZxVK5EkIIO9Rq1lwZjUbefvttPD09iYmJAWD37t14eXlZEyuAMWPGoNVqre2Du3fv5qabbsJguLyoeNy4cSQlJZGXl2c9ZsyYMTWuN27cOHbv3n3VeCoqKigsLLTeiopkjYMQom7n88vILTHioNPS41LrXnOxtAam5BRjrJLWwJZkNiuczm6eEexX8peJgUIIYbfsPrn65ptvcHNzw8nJiTfeeIMtW7bg5+cHQEZGBgEBATWO1+v1+Pj4kJGRYT0mMDCwxjGWr693jOXxurz88st4enpab9HR0U17oUKINssyyCIyyB2D3raDLH4vwN0RLxcDVabLb/RFyziXV0pFlRkXg44QL9vsYVYXS3KVW2KUsftCCGFn7D65GjVqFAkJCfz888+MHz+eu+++m6ysLLXD4tlnn6WgoMB6S0xMVDskIYQdKjNWcfJSktNcgyxq0GiIDKyuXsnUwJZlaQns7O+GpplaAgE8nPQY9FpMZoW8UmOzXUcIIUTD2X1y5erqSteuXbnxxht577330Ov1vPfeewAEBQXVSrSqqqrIzc0lKCjIekxmZmaNYyxfX+8Yy+N1cXR0xMPDw3pzd2/eVh8hROuUeKEQs1kh0MOJAI/mGWTxe5bWwNTcUsqNMq67JSiKQnJ2800JrEGjwc8y1ELWXQkhhF2x++Tq98xmMxUV1X9MBg8eTH5+PgcOHLA+/v3332M2mxk0aJD1mB07dlBZWWk9ZsuWLURGRuLt7W09Ztu2bTWus2XLFgYPHtzcL0cI0YYpisLhC5cGWbRE1eoSb1cD/u6OmBWFk1lSvWoJ6QXllBqrMOi1dPR2afbryWbCQghhn1RNroqLi0lISCAhIQGAlJQUEhISSE1NpaSkhL/+9a/s2bOHs2fPcuDAAebMmcP58+e56667AIiKimL8+PE88MAD7Nu3j127djFv3jzuvfdeQkJCgOqJgwaDgfvvv5+jR4+ybt06VqxYQXx8vDWOv/zlL2zatImlS5dy/PhxFi9ezP79+5k3b16Lf0+EEG1HWm4pBaWVGPRaujfzIIvfs7YGZkpy1RJOZVa3BHbxc0Onbb6WQAvrUAupXAkhhF1RNbnav38/ffv2pW/fvgDEx8fTt29fFi5ciE6n4/jx49xxxx10796dSZMmcfHiRX766Sd69uxpPcfHH39Mjx49GD16NBMnTmTYsGE19rDy9PRk8+bNpKSk0L9/fx5//HEWLlxYYy+sIUOG8Mknn/D2228TExPDF198wYYNG+jVq1fLfTOEEG2OZZBFVJAHDrqW/XVrSebO55dRXF55naNFkygKpy6tq2up8fd+V+51pchQCyGEsBeq7nM1cuRIlGv8UVi/fv11z+Hj48Mnn3xyzWP69OnDTz/9dM1j7rrrLmtFTAghmqqkoorknOo1OL07tlxLoIW7kwMhXs5cyC/jRGYx/Tp5t3gM7UVWUQVF5ZXodVo6+TZ/SyCAr5sBjQbKjCZKjCZcHVX9cy6EEOKSVrfmSgghWoOj5wtQFIUQL2d8L1UZWpq0BrYMy5TACF8X9C1UodTrtHi5VO/fKJsJCyGE/ZDkSgghbExRFI6oMMji97oFVo8EzyosJ19GdjcPRbEmVy3VEmjh7yabCQshhL2R5EoIIWzsTE4JReVVODnomn8s9zU4G/SE+VS3qcmeV80jt8RIXqkRnVZDhJ9ri15bhloIIYT9keRKCCFs7PD56qpVdLBHi7WJXU2N1kAZfGBzlqpVmI8LBr2uRa/tJ+PYhRDC7khyJYQQNlRYVknKxUuDLFRsCbToEuCKTqshr8QoFY5mYJkS2NW/5SuUlspVXqmRKpO5xa8vhBCiNkmuhBDCho5eKAAFQn1c8HI1qB0OBr3O2q4mgy1sq6C0kuyiCjQaDREqJFeuBh3OBh2KUt2eKIQQQn2SXAkhhI2YzQpHLhQC9lG1srC0Bp7ILLrm9heiYZKzq5PVjt7OOBtatiUQAI3m8lALqUoKIYRdkORKCCFs5HR2MaUVVbgY9HRWoZJxNeF+rhj0WorKq0gvKFc7nDbDst5KjZZACz9JroQQwq5IciWEEDZiGWTRM8QDnVajcjSX6XVaulxKAGRqoG0UX5GotvQI9itZ1l3JUAshhLAPklwJIYQNFJQaSc0tBQ30sqOWQIvIoOrWwJNZRZjN0hrYVKcvDbII9nTC1VGvWhzWcezFFTINUggh7IAkV0IIYQOWqlW4jysezg4qR1NbqLcLzgYdZUYTabmlaofT6p20tAQGuKsah7eLAZ1Wg7HKTGF5laqxCCGEkORKCCGazGQ2c9QyyKKj/VWtALRaDd0CrtjzSjRamdHE+fzqBLWLymvrtFoNPpemUsq6KyGEUJ8kV0II0USnsooprzTh5qQn3NdV7XCuytIamJxdLPsiNUFKdjGKUt2S5+mifpVSNhMWtpCWlsbIkSOJjo6mT58+fP7552qHJESrJMmVEEI0kaUlsFeIJ1o7GmTxe8GeTrg76TFWmTmTU6J2OK3WSTuYEngl67orqVyJJtDr9SxfvpzExEQ2b97M/PnzKSmR3xNCNJQkV0II0QQnM4s4n1eGRqOhZ4h9tgRaaDQaugdKa2BTFJZXkpZX3RLYVcUpgVey7nUllSvRBMHBwcTGxgIQFBSEn58fubm56gYlRCskyZUQQjTBx3tTAejs54qbk3pT4+rL0hqYklNCRZVJ5Whan+3HszCZFbxdDda1Tmrzu1S5KiyrxCg/02a1Y8cOJk2aREhICBqNhg0bNlzzeJPJxIIFC4iIiMDZ2ZkuXbrw4osv2nwz7/rGtWrVKsLDw3FycmLQoEHs27evzuMOHDiAyWQiNDTUpnEK0R5IciWEEI1UZjTx5cFzgP0Osvg9fzdHvF0NmMwKp7Ok5aehNh3JAC61BGrsowXUyUFnTexzio0qR9O2lZSUEBMTw6pVq+p1/Kuvvsrq1atZuXIlx44d49VXX+W1117jrbfeuupzdu3aRWVlZa37ExMTyczMbHRc69atIz4+nkWLFnHw4EFiYmIYN24cWVlZNY7Lzc1lxowZvP322/V6jUKImiS5EkKIRvrPbxcoKq/Cw9mBMB8XtcOpH42GSGkNbJQyo4kfkrIB+2kJtLC0BubIuqtmNWHCBF566SVuv/32eh3/888/84c//IFbbrmF8PBw7rzzTsaOHXvVipHZbGbu3LlMnToVk+lyFTIpKYm4uDjWrl3b6LiWLVvGAw88wOzZs4mOjmbNmjW4uLjw/vvvW4+pqKhg8uTJPPPMMwwZMqRer1EIUZMkV0II0UifXGoJ7N3BE42dVDHqw9IamJpbSplR9kaqrx0nsymrNOHu5EDApVY8e2FddyXJVaONGjWK6Ojoelel6mPIkCFs27aNEydOAPDrr7+yc+dOJkyYUOfxWq2WjRs3cujQIWbMmIHZbCY5OZm4uDgmT57MU0891ag4jEYjBw4cYMyYMTWuNWbMGHbv3g2AoijMmjWLuLg4pk+f3qjrCCHA/hcICCGEHTpyvoCEtHwcdBqiQzzUDqdBvFwMBHo4kVlYzsnMYvqEeqkdUqtgbQkMsJ+WQAvLuisZatF427dvp2PHjjY95zPPPENhYSE9evRAp9NhMpn429/+xrRp0676nJCQEL7//nuGDx/O1KlT2b17N2PGjGH16tWNjiMnJweTyURgYGCN+wMDAzl+/DhQ3Y64bt06+vTpY12z9dFHH9G7d+9GX1eI9kiSKyGEaIRP9lVXrcb1DMLFcELlaBouMtCdzMJykjKLJLmqB2OVma3Hqte72FtLIFyuXF0sqUBRlFZVSW3LPvvsMz7++GM++eQTevbsSUJCAvPnzyckJISZM2de9XlhYWF89NFHjBgxgs6dO/Pee+81+8902LBhmM2y/50QTSVtgUII0UDFFVX836HzAEwb1EnlaBqnW6A7aOBCfhlF5bUXz4uafk7Ooai8Cn93R4I9ndQOpxZPFwf0Oi1VJoX8Uvl52osnn3ySZ555hnvvvZfevXszffp0HnvsMV5++eVrPi8zM5MHH3yQSZMmUVpaymOPPdakOPz8/NDpdLUGYmRmZhIUFNSkcwshapLkSgghGmjDofOUGE109nflxs4+aofTKG5Oejp4OQNwIkMGW1zPd0erWwLHRgfaZVVIo9Hg51Y9Gl7WXdmP0tJStNqab7V0Ot01K0Q5OTmMHj2aqKgo1q9fz7Zt21i3bh1PPPFEo+MwGAz079+fbdu2We8zm81s27aNwYMHN/q8QojapC1QCCEaQFEU695W0wZ1sss32vUVGejO+bwykjKLGHP9w9stk1lh89HqT/zH9woCO81F/d0cySgoJ7u4gu64qx1Om1RcXMypU6esX6ekpJCQkICPjw9hYWGsXLmSr776yprETJo0ib/97W+EhYXRs2dPDh06xLJly5gzZ06d5zebzUyYMIFOnTqxbt069Ho90dHRbNmyhbi4ODp06FBnFet6cQHEx8czc+ZMBgwYwMCBA1m+fDklJSXMnj3blt8iIdo9Sa6EEKIBEtLyOZZeiEGv5Y5+HdQOp0m6BbjzQ1I22UUVnMoqtsu1RPbglzO5XCwx4unswI2dfSn+Ve2I6mYZaiHj2JvP/v37GTVqlPXr+Ph4AGbOnMmHH35ITk4OycnJ1sffeustFixYwMMPP0xWVhYhISH8+c9/ZuHChXWeX6vVsmTJEoYPH47BcHmT6piYGLZu3Yq/v3+j4gK45557yM7OZuHChWRkZBAbG8umTZtqDbkQQjSNRrH1NuHt1Llz5wgNDSUtLc3m04aEEPbjic9/5YsD5/hjvw4suzsWgLyDy1WNqSm+TjhPSk4JHn3nE39zd7XDsUuLvz7Khz+f4Y5+HVl6d4zd/rzT88v4bH8aro56/jS88zWP9e43v2WCagXk77cQwpZkzZUQQtRTQWkl//n1AtB6B1n8nmVD4a8TziOftdWmKIp1vdX4Xva98N/XzRE0UFJRJfuXCSGESiS5EkKIelp/6BwVVWZ6BLnTL8xL7XBsorO/G3qdhjMXSzl8vkDtcOzOr+cKSC8ox8WgY3g3P7XDuSaDXouXswMAOUVGlaMRQoj2SZIrIYSoh5qDLMJa9SCLKznotUT4Va+1+jrhgsrR2B/LxsGjegTg5KBTOZrr83OTzYSFEEJNklwJIUQ97EvJ5VRWMS4GHZP7tu5BFr9naQ385rd0zGZpDbRQFIVNR9IBmGDnLYEWls2EZaiFEEKoQ5IrIYSoB0vV6g+xIbg7OagcjW2F+7ng7qQno7CcfWdy1Q7HbiRlFnHmYikGvZaRkQFqh1Mv/u5SuRJCCDVJciWEENdxsbiCby9VMKYObBuDLK6k02qtlZmvf5XWQAtLS+BN3fxwc2wdO5dYxrHnlhgxXWOjWiGEEM1DkishhLiOLw6co9KkENPRk94dPdUOp1ncFlPd6rjxcDrGKnlTDpeTq/G9glWOpP7cHfU46rWYFYXcEhlqIYQQLU2SKyGEuAazWeGTfdUtgVMHhakcTfMZ3MUXPzdH8ksr2XkqW+1wVJeSU8LxjCJ0Wg1jolpHSyAAGs0VmwlLciWEEC1NkishhLiGXck5nL1YirujnkkxIWqH02x0Wg239qmu0MjUQKx7Ww3u7IuXi0HlaBrGXyYGCiGEaiS5EkKIa/h4T3XV6o/9OuBiaB3rbhrLkjxuTsykzGhSORp1fXukdWwcXBfrUAuZGCiEEC1OkishhLiKzMJythzLBGDqoLY3yOL3+oV50dHbmVKjiW3HM9UORzUX8sv4NS0fjQbG9gxUO5wGs45jL64ARUbrCyFES5LkSgghruKzX9IwmRVuCPcmMshd7XCanUaj4bZL1av/a8etgZaWwAGdvAlwd1I5mobzdjWg0WgorzRRXFGldjhCCNGuSHIlhBB1MJkV/t0OBln83m2x1cnVj0nZFJRVqhyNOixTAsf1bH0tgQB6nRYf1+q92HJk3ZUQQrQoSa6EEKIOPyRlcaGgHC8XBya0olHcTdUjyIPugW4YTWa+u5RktCc5xRX8cmkj5daaXMEVQy1k3ZUQQrQoSa6EEKIOH++trlrd1b8jTg46laNpWZbWwPa4ofCWxEzMCvTu4Emoj4va4TSanzW5knHsQgjRkiS5EkKI3zmXV8r2pCwApgxsPy2BFpapgT8n55BVVK5yNC1rUyueEngly8RAaQsUQoiWJcmVEEL8zrpf0lAUGNLFl87+bmqH0+I6+boSG+qFWYGNv6WrHU6LKSir5OfkHKB1twTC5cpVXpmRSpNZ5WiEEKL9kORKCCGuUGky8+kvaQBMawfj16/GOjWwHbUGfn88k0qTQrcAN7oGtO6k2sVRj4ujHhS4KNUrIYRoMZJcCSHEFbYmZpJdVIGfmyM3R7e+PY5s5dY+wWg1cCg1n7TcUrXDaRFtpSXQQoZaCCFEy5PkSgghrmAZZHHPDR0x6Nvvr8gADydu7OwLtI/BFqXGKn48kQ20neTKz80AyLorIYRoSe33nYMQQvzOmZwSdp7KQaOBe29of4Msfs/SGvifdpBc/ZiUTXmlmVAfZ6KDPdQOxyYsQy2yi2VioBBCtBS92gEIIYS9sGwaPKK7f6sew20rE3oFs+D/jnA8o4ikjCIig9xrPJ53cLk6gdmQd7/5AGw6eqklsGcQGo1GxYhsx9IWmFNUgaIobeZ1CSGEPZPKlRBCABVVJj7bL4MsruTp4sCI7gEAfP3reZWjaT4VVSa+P1Y9en98G9ow2svFgE6rodJkprCsUu1whBCiXZDkSgghqB5mkFdaSbCnE6Mi/dUOx27cFmtpDUxHURSVo2keP5+6SFFFFQHujvQN9VI7HJvRajX4ylALIYRoUZJcCSEElwdZ3HtDGHqd/Gq0GBMVgLODjtTcUhLS8tUOp1lYpgSO6xmEVtu2Wuf8ZaiFEEK0KHkHIYRo905mFrEvJRedVsM9N4SqHY5dcTHorSPp2+LUwCqTmc2J1cnVhDYyJfBKl8exy1ALIYRoCZJcCSHaPUvVanSPAII8nVSOxv5YpgZ+81s6JnPbag3cdyaXvNJKvF0cGBjho3Y4NudnnRgolSshhGgJklwJIdq1MqOJLw+eA2DajTLIoi43dffH09mB7KIK9p6+qHY4NvXdpZbAm6MD22Q7qN+lylVReSUVlSaVoxFCiLav7f0lEUKIBvjPbxcoKq8i1MeZ4V391A7HLhn0Wib2rm6Z+7+EttMaqCjK5RHsbbAlEMDRQYe7kwMg666EEKIlSHIlhGjXPrnUEjh1YKc2N8zAliZdag389kg6FVVtowKSWVhOZmEFbo56hrbhxNq6mbBMDBRCiGYnyZUQot06cr6AhLR8HHQa7hrQUe1w7NqgCF8C3B0pLK9ix4kctcOxiVNZxQDE9QjAUa9TOZrm4y/j2IUQosXo1Q5ACNF25B1crnYIDZJ0LJNZPgV0D3RHd+IEeYB3v/lqh2WXdFoNt/YJ4f1dKXz96wXrBMFWS1GsyVVbbQm08He/NI69RJIrIYRoblK5EkK0S8YqM8czigDo3cFT5Whahz9c2lB4a2ImJRVVKkfTNDnFRgrKKnHUaxnRvW1vGm0ZanGx2Ii5jU17FEIIeyPJlRCiXUrKKKTSZMbb1UBHb2e1w2kV+nT0pJOvC2WVJrYey1Q7nCY5lVWdWI/o7o+rY9tu4vBwdsBBp8VkVsgvlf2uhBCiOamaXO3YsYNJkyYREhKCRqNhw4YN1scqKyt5+umn6d27N66uroSEhDBjxgwuXKg5qSo8PByNRlPj9sorr9Q45rfffmP48OE4OTkRGhrKa6+9ViuWzz//nB49euDk5ETv3r3ZuHFjs7xmIYQdUBR+O18AXKpaaWSQRX1oNBrrnldft/Kpgaey20dLIFT/3GSohRBCtAxVk6uSkhJiYmJYtWpVrcdKS0s5ePAgCxYs4ODBg6xfv56kpCRuu+22Wse+8MILpKenW2+PPPKI9bHCwkLGjh1Lp06dOHDgAK+//jqLFy/m7bffth7z888/M2XKFO6//34OHTrE5MmTmTx5MkeOHGmeFy6EUFVGYTk5RRXotBqigj3UDqdVsSRXO05mU95K903KKzFysdiIVqNhdI9WvnasniytgbKZsGistLQ0Ro4cSXR0NH369OHzzz9XOyQh7JKqvRATJkxgwoQJdT7m6enJli1baty3cuVKBg4cSGpqKmFhYdb73d3dCQqq+9PHjz/+GKPRyPvvv4/BYKBnz54kJCSwbNkyHnzwQQBWrFjB+PHjefLJJwF48cUX2bJlCytXrmTNmjW2eKlCCDty+Fx11ap7oDtODm13Slxz6BboTo8gd45nFHEqq5herXC9mmWQRaiPC54uDipH0zL8JbkSTaTX61m+fDmxsbFkZGTQv39/Jk6ciKurq9qhCWFXWtWaq4KCAjQaDV5eXjXuf+WVV/D19aVv3768/vrrVFVdXmi9e/dubrrpJgwGg/W+cePGkZSURF5envWYMWPG1DjnuHHj2L1791VjqaiooLCw0HorKiqywSsUQjS3ikoTSZkyyKIpbrs02CIpo3X+3ku+1BLY1d9N5Uhajp9lYmCRrLkSjRMcHExsbCwAQUFB+Pn5kZubq25QQtihVpNclZeX8/TTTzNlyhQ8PC638Tz66KN8+umnbN++nT//+c8sWbKEp556yvp4RkYGgYE12z4sX2dkZFzzGMvjdXn55Zfx9PS03qKjo5v8GoUQze9YeiEms4KfmyPBnk5qh9MqTepTnVydyy9tdVMDi8orySwsBw10Dmg/n7j7uTmi0UCpsarV/czsybXWitelrnXhGo2GuXPnArB48eJaj/Xo0UO1uFetWkV4eDhOTk4MGjSIffv21XncgQMHMJlMhIaG2jxWIVq7VpFcVVZWcvfdd6MoCqtXr67xWHx8PCNHjqRPnz489NBDLF26lLfeeouKiuZtfXj22WcpKCiw3hITE5v1ekIIG1AUDssgiyYL9XGhfydvUOBEK6teWVoCO3g542Jo21MCr6TXafFyuVS9ktbARrvWWvG6/PLLLzXWhFuWO9x1113WY3r27FnjmJ07d17znLt27aKysrLW/YmJiWRm1j3Fsz5xr1u3jvj4eBYtWsTBgweJiYlh3LhxZGVl1TguNzeXGTNm1Fi7LoS4rFHJ1aZNm2r841+1ahWxsbFMnTrV2mpnK5bE6uzZs2zZsqVG1aougwYNoqqqijNnzgDVpevf/7KxfG1Zp3W1Y662jgvA0dERDw8P683d3b2hL00I0cLO55eRW2LEQaelR7D8m20Ky2ALS4tla5Gc1f5aAi0sQy1yZGJgo02YMIGXXnqJ22+/vV7H+/v7ExQUZL198803dOnShREjRliP0ev1NY7x8/O76vnMZjNz585l6tSpmEyXB8okJSURFxfH2rVrGx33smXLeOCBB5g9ezbR0dGsWbMGFxcX3n//fesxFRUVTJ48mWeeeYYhQ4bU63sgRHvTqOTqySefpLCwEIDDhw/z+OOPM3HiRFJSUoiPj7dZcJbE6uTJk2zduhVfX9/rPichIQGtVktAQAAAgwcPZseOHTU+5dmyZQuRkZF4e3tbj9m2bVuN82zZsoXBgwfb7LUIIdRnGWQRGeSOQS+DLJpiYu9gNBrILCynoJXsnVRSUcX5gjIAugS0v+RKhlpc26hRo4iOjq53VaqhjEYj//rXv5gzZw6aK6rmJ0+eJCQkhM6dOzNt2jRSU1Oveg6tVsvGjRs5dOgQM2bMwGw2k5ycTFxcHJMnT66xLKKhsR04cKDG+nOtVsuYMWOs688VRWHWrFnExcUxffr0Rl1HiPagUT0RKSkp1jVGX375JbfeeitLlizh4MGDTJw4sd7nKS4u5tSpUzXOm5CQgI+PD8HBwdx5550cPHiQb775BpPJZF0D5ePjg8FgYPfu3ezdu5dRo0bh7u7O7t27eeyxx7jvvvusidPUqVN5/vnnuf/++3n66ac5cuQIK1as4I033rBe9y9/+QsjRoxg6dKl3HLLLXz66afs379fSt5CtCFlxipOXhpkIIMsms7f3ZFQHxdSL5aSlFHEwM7X//BLbaezi0GBQA8n3J3ax5TAK8leV9e2fft2Onbs2Gzn37BhA/n5+cyaNct636BBg/jwww+JjIwkPT2d559/nuHDh3PkyJGrdsSEhITw/fffM3z4cKZOnWodyvX7ZRMNkZOTg8lkqnP9+fHjx4HqdsR169bRp08f65qtjz76iN69ezf6ukK0RY1KrgwGA6WlpQBs3bqVGTNmANVJj6WiVR/79+9n1KhR1q8tVa+ZM2eyePFivv76awDrdBqL7du3M3LkSBwdHfn0009ZvHgxFRUVRERE8Nhjj9Wonnl6erJ582bmzp1L//798fPzY+HChdYx7ABDhgzhk08+4bnnnuOvf/0r3bp1Y8OGDfTq1ath3xghhN1KvFCI2awQ6OFEgIcMsrCFyED36uQqs4iBET52v4bNsnFw13ZYtYLLbYF5pZWUV5pkG4IW9t577zFhwgRCQkKs9125HU2fPn0YNGgQnTp14rPPPuP++++/6rnCwsL46KOPGDFiBJ07d+a9996rUQ1rDsOGDcNsNjfrNYRoCxqVXA0bNoz4+HiGDh3Kvn37WLduHQAnTpxo0Kc+I0eORFGUqz5+rccA+vXrx549e657nT59+vDTTz9d85i77rqrxgJTIUTboSgKhy9cMchC2ESXADe+P55FbomRnGIjfpcqI/aootLEudzqlsD2uN4KwM1Rh5ODjvJKEyczi+ndUf4ttJSzZ8+ydetW1q9ff83jvLy86N69e42unrpkZmby4IMPMmnSJH755Rcee+wx3nrrrUbH5+fnh06na/D6cyFEbY1ac7Vy5Ur0ej1ffPEFq1evpkOHDgB8++23jB8/3qYBCiFEU6XlllJQWolBr6V7kAyysBVHvY5w3+px5va+59Xp7BLMioKvmyNerobrP6Et0misrYHH0uvfZSKa7oMPPiAgIIBbbrnlmscVFxeTnJxMcHDwVY/Jyclh9OjRREVFsX79erZt28a6det44oknGh2fwWCgf//+Ndafm81mtm3bJuvPhWigRlWuwsLC+Oabb2rdf+U6JiGEsBeWQRZRQR446FrFDhStRmSQO8nZxSRlFjG0q6/dtgaeaocbB9fF382RtNxSEiW5apRrrRUPCwtj5cqVfPXVV7WSlA8++ICZM2ei19d82/XEE08wadIkOnXqxIULF1i0aBE6nY4pU6bUeX2z2cyECRPo1KkT69atQ6/XEx0dzZYtW4iLi6NDhw489thjDY4bqpdmzJw5kwEDBjBw4ECWL19OSUkJs2fPbtL3TIj2ptGbfCQnJ/PBBx+QnJzMihUrCAgI4NtvvyUsLIyePXvaMkYhhGi0kooqknNKAKQNqhlE+LnioNNSVF5JekE5wV7OaodUS2WVmbMXq/8faK/rrSws664kuWqca60V//DDD8nJySE5ObnGc7Zu3Upqaipz5sypdb5z584xZcoULl68iL+/P8OGDWPPnj34+/vXeX2tVsuSJUsYPnw4BsPlCmxMTAxbt2696vOuFzfAPffcQ3Z2NgsXLiQjI4PY2Fg2bdpUa8iFEOLaGpVc/fjjj0yYMIGhQ4eyY8cO/va3vxEQEMCvv/7Ke++9xxdffGHrOIUQolGOni9AURRCvJzxdbPfNUGtlV6npYu/G8czCknKKLLL5OrMxRJMZgVPFwf83NppS+AlV7YFKorS7EMQ2prrrRVfvHgxixcvrnHf2LFjr/qcTz/9tMEx3HzzzXXe37dv36s+53pxW8ybN4958+Y1OCYhxGWN6o955plneOmll9iyZUuNT07i4uLqNWBCCCFagqIoHJFBFs0u8tI6tpNZRZjN138D19JOXblxcDtPJrxdDWi1GorKqzifX6Z2OEII0eY0Krk6fPhwnbt8BwQEkJOT0+SghBDCFs7klFBUXoWTg67dt4M1pzAfF5wcdJQaTZzLK1U7nBqqTGZScqQl0EKn1eDjUv2h6LF0+x5CItqesrIy61Y+UD1Fcfny5WzevFnFqISwrUYlV15eXqSnp9e6/9ChQ9bJgUIIobbD56urVtHBHuhlkEWz0Wo1dLuUuNjb1MC03FIqTWbcHPUEyv5mwOXWwMQLsu5KtKw//OEP/POf/wQgPz+fQYMGsXTpUv7whz80aRNkIexJo95t3HvvvTz99NNkZGSg0Wgwm83s2rWLJ554wrqhsBBCqKmwrJKUS0MMpCWw+VlaA09lF1Nlsp+NRq0tgQFusr7oEn83Gccu1HHw4EGGDx8OwBdffEFgYCBnz57ln//8J2+++abK0QlhG41KrpYsWUKPHj0IDQ2luLiY6OhobrrpJoYMGcJzzz1n6xiFEKLBjl4oAAVCfVza775GLSjEyxk3Jz3GKjNnL9pHa6DZrHD6Uktgl3Y+gv1Kls2ej2VIciVaVmlpKe7u1R/EbN68mT/+8Y9otVpuvPFGzp49q3J0QthGo5Irg8HAO++8w+nTp/nmm2/417/+xfHjx/noo4/Q6XS2jlEIIRrEbFY4cqnlSapWLUOj0RAZWP2myV5aA8/nl1FeacLZoKODt/1NMVSLZRz72YulFFdUqRyNaE+6du3Khg0bSEtL47vvvmPs2LEAZGVl4eHhoXJ0QthGo5KrF154gdLSUkJDQ5k4cSJ333033bp1o6ysjBdeeMHWMQohRIOczi6mtKIKF4OezlKxaDGW5Op0TjHGKvVbA09lVSd5XfykJfBKzgYdQZfWnx2X1kDRghYuXMgTTzxBeHg4gwYNYvDgwUB1Fetao+SFaE0alVw9//zzFBcX17q/tLSU559/vslBCSFEU1gGWfQM8UCnlTfVLcXf3RFvFwMms8Lp7Np/I1qSoiicyr7UEihTAmuJCq5OhGXdlWhJd955J6mpqezfv59NmzZZ7x89ejTLly9XLzAhbKhRydXVNh789ddf8fHxaXJQQgjRWAWlRlJzS0EDvaQlsGVpNHS3k9bAjIJySiuqMOi1hPq4qBqLPYoKrm7BSpRx7KIFzZkzB1dXV/r27YtWe/ktaM+ePXn11VdVjEwI22lQcuXt7Y2Pjw8ajYbu3bvj4+NjvXl6enLzzTdz9913N1esQghxXZaqVbiPKx7ODipH0/5Ypgam5pZSZjSpFodlSmBnP1epXtbBklxJ5Uq0pLVr11JWVnvz6rKyMuuIdiFaO31DDl6+fDmKojBnzhyef/55PD0vfypsMBgIDw+39s8KIURLM5nNHLUMsugoVSs1eLsa8Hd3JLuoglNZRfTu6NXyQSgKp7Ivj2AXtUWHVCdXxzMKMZkVSUBFsyosLERRFBRFoaioCCeny3vOmUwmNm7cSEBAgIoRCmE7DUquZs6cCUBERARDhgzBwUE+FRZC2I9TWcWUV5pwc9IT7uuqdjjtVo8gd7KLKkjKVCe5yi6qoLCsEr1OQyf5/6BO4b6uODloKa80c+ZiiYyqF83Ky8sLjUZj7Xz6PY1GI2v2RZvRoOTKYsSIEZhMJr788kuOHTsGVPfL3nbbbTKKXdSQd3C52iE0mXe/+WqHIOrJ0hLYK8QTrXwSr5puge78dDKH83llFJVX4u7Ush/EWVoCw31c0esatbS4zdNpNUQGefBrWj7H0gsluRLNavv27SiKQlxcHF9++WWN9fkGg4FOnToREhKiYoRC2E6jkqtTp04xceJEzp8/T2RkJAAvv/wyoaGh/Pe//6VLly42DVIIIa4nt7iC83llaDQaeoZIS6Ca3J0c6ODlzPn8Mk5mFtGvU8sOOrK2BAZKwnAt0cHu1uTq1j7yxlY0nxEjRgCQkpJCWFiYbI0g2rRGfaT36KOP0qVLF9LS0jh48CAHDx4kNTWViIgIHn30UVvHKIQQ12WpWnX2c8XNqVGfGwkb6n5psEVSZstOo8srqSC3xIhWqyHcT1oCryXaMjHwggy1EC3j2LFj7Nq1y/r1qlWriI2NZerUqeTl5akYmRC206jk6scff+S1116rUdb19fXllVde4ccff7RZcEIIUR9VJjOJ6TLIwp50C6jeuDersIL8EmOLXdfSEhjm7YKjXtrUr+XyxEAZxy5axpNPPklhYfXv6sOHDxMfH8/EiRNJSUkhPj5e5eiEsI1GJVeOjo4UFdX+ZVxcXIzBYGhyUEII0RAnMoswVpnxcHYgTPY0sgvOBj2dLv0sWrJ6JVMC66/HpeQqo7CcvBZMgEX7lZKSQnR0NABffvklkyZNYsmSJaxatYpvv/1W5eiEsI1GJVe33norDz74IHv37rWO1tyzZw8PPfQQt912m61jFEKIa7K0BPbu4Cm9/HYk8srWQEVp9usVllWSVViBRgOd/aUl8HrcHPXWDyNkvyvREgwGA6WlpQBs3bqVsWPHAuDj42OtaAnR2jUquXrzzTfp0qULgwcPxsnJCScnJ4YOHUrXrl1ZsWKFrWMUQoiryi4sJ6OgHK1WY927R9iHzv5u6LQa8kqMZBdVNPv1ki+1BHbwcsbZIOvu6sO67kqSK9EChg0bRnx8PC+++CL79u3jlltuAeDEiRN07NhR5eiEsI1G/fXx8vLi//7v/zh58iTHjx8HICoqiq5du9o0OCGEuB5L1aqrvxsu8obarhj0Wjr7uXIyq5ikzCL8PZyu/6QmOGltCXRv1uu0JVHBHmw6miHJlWgRK1eu5OGHH+aLL75g9erVdOjQAYBvv/2W8ePHqxydELbRqHciO3fuZNiwYXTr1o1u3brZOiYhhKgXY5WZ4xnV63l6d5BBFvYoMsjdmlwN7erXbG2bJRVVpOeXAcieTQ0QFVydiMpQC9ESwsLC+Oabb2rd/8Ybb6gQjRDNo1HJVVxcHB06dGDKlCncd9991sWJQgjRkpIyCqk0mfF2NdDR21ntcEQdOvm6YtBrKS6vIj2/nJBm+jklX6paBXk6ySj+BrBMDDyVVT0UxqCXTZdF8zKZTGzYsIFjx44B0LNnT2677TZ0OpnuKdqGRv0WvXDhAo8//jg//vgjvXr1IjY2ltdff51z587ZOj4hhKibovDbFYMskEEWdkmv09L1UiUpKbP5Ws8sI9i7StWqQTp6O+PupKfSpFi/h0I0l1OnThEVFcWMGTNYv34969ev57777qNnz54kJyerHZ4QNtGo5MrPz4958+axa9cukpOTueuuu1i7di3h4eHExcXZOkYhhKglo7CcnKIKdFqN9dN3YZ8sUwNPZBZjNtt+amC50cS5vOqWQBnB3jAajeaK/a5k3ZVoXo8++ihdunQhLS2NgwcPcvDgQVJTU4mIiODRRx9VOzwhbKLJvRMRERE888wzxMTEsGDBAtlEWAjRIg6fq65adQ90x8lB2knsWUdvF1wMOkqNJlJzSwn3s+2Y9NM5xSiKgp+7I54ustdiQ0UHe7AvJVeSK9HsfvzxR/bs2YOPj4/1Pl9fX1555RWGDh2qYmRC2E6Tmqt37drFww8/THBwMFOnTqVXr17897//tVVsQghRp4pKk3VjWhlkYf+0Wg3dLk3wO5Fh+8EJ0hLYNNahFhmSXInm5ejoSFFR7d8BxcXFGAzywYhoGxqVXD377LNEREQQFxdHamoqK1asICMjg48++khGaQohmt2x9EJMZgU/N0eCPZt3vLewDUtr4KnsYqpMZpud11hlJjW3elNSaQlsnMttgUUoLbDZs2i/br31Vh588EH27t2LoigoisKePXt46KGHuO2229QOTwibaFRb4I4dO3jyySe5++678fPzs3VMQghxdYpi3dtKBlm0HkGeTrg7OVBUXsmZnBK6BtpmL6ozOSWYzAreLgZ8XeWT78boHuiOTqsht8RIZmEFQfKBhWgmb775JjNnzmTw4ME4ODgAUFVVxW233caKFStUjk4I22hUcrVr1y5bxyGEEPVyPr+M3BIjDjotPYJls9jWQqPREBnozv6zuSRlFNksubK0BHYJcJNEu5GcHHTWzZ6PpRdKciWajZeXF//3f//HyZMnOXbsWPVAlagounbtqnZoQthMowdaJCUl8dZbb1n3KYiKiuKRRx4hMjLSZsEJIcTvWQZZRAa5Y9DLIIvWJDKoOrlKuVhCRZUJxyb+/KpMZs5cLAFkvVVTRQV7cDKrmMT0Qkb1CFA7HNHGdevWzZpQNdfG4kKopVFrrr788kt69erFgQMHiImJISYmhoMHD9KrVy++/PJLW8cohBAAlFeaOJdfPXJbBlm0Pn5uBnxcDZjMCsk22FMp9WIplSYz7k56Aj0cbRBh+yXj2EVLee+99+jVqxdOTk44OTnRq1cv3n33XbXDEsJmGlW5euqpp3j22Wd54YUXaty/aNEinnrqKe644w6bBCeEEFBdodBoNFSZFGYOCSezoJwAD2ldanUutQbuPn2RpMwiokOaliCfyr7UEugvLYFNFR1SnVwlSnIlmtHChQtZtmwZjzzyCIMHDwZg9+7dPPbYY6SmptZ6XylEa9So5Co9PZ0ZM2bUuv++++7j9ddfb3JQQghhYTKZ2X8mj4RzeVRUmnF00BLb0YtgTyd0uibtJiFUEBlUnVyl5ZZRaqzCxdC47nSzWeH0peTKMuZdNJ5lHPuZnBLKjCacDdJyK2xv9erVvPPOO0yZMsV632233UafPn145JFHJLkSbUKj3pmMHDmSn376qdb9O3fuZPjw4U0OSgghoLpi9cuZPPamXKSisnp8d0Wlmb0pufxyJo9KG470Fi3D08VAoIcTiqJwKrPxrYHn8kqpqDLjYtAR7CVVzKYKcHfCz82AWcG6h5wQtlZZWcmAAQNq3d+/f3+qqqpUiEgI22vUR4a33XYbTz/9NAcOHODGG28EYM+ePXz++ec8//zzfP311zWOFUKIxtBoNCScy6vzsYRzedwQ4dPCEQlbiAx0J7OwnOOZRfQJ9WrUOSxTAjv7u8mCeBuJCvbgp5M5HEsvJLaRPxchrmX69OmsXr2aZcuW1bj/7bffZtq0aSpFJYRtNSq5evjhhwH4xz/+wT/+8Y86H4PqN0Ymk6kJ4Qkh2jNjlclasfq9ikozxioTzo1sKxPq6R7kzo5T2aTnl1FYVomHs0ODnq8oCsnZ1VMCu8nGwTYTfSm5Srwg665E83nvvffYvHmz9cP5vXv3kpqayowZM4iPj7ce9/sETIjWolHvSsxmacURQjQ/g16Ho4O2zgTL0UEro9hbKVdHPR29nDmXV8aJzCIGhDesApmeX06psQpHvZYO3i7NFGX7IxMDRXM7cuQI/fr1AyA5ORkAPz8//Pz8OHLkiPU4qUaL1kw+8hVC2C1FUYjt6MXelNxaj8V29MasKOiQP8KtUWSgB+fyykhqRHJlbQn0c0OnlZ+/rViSq+MZRZjNClr53rYbaWlpTJ8+naysLPR6PQsWLOCuu+6y+XW2b99er+POnTuH2WxGq5WhRaL1aVRydb1pLgsXLmxUMEIIcaWCskpiQr1QgF/P5V8xLdCbG8K9ZVpgK9Y1wI3tSVnkFFWQV1KBt2s996lSFOsI9q7SEmhTnf1dMei0FFdUcS6vjDBfqQq2F3q9nuXLlxMbG0tGRgb9+/dn4sSJuLq6qhJPdHQ0CQkJdO7cWZXrC9EUjUquvvrqqxpfV1ZWkpKSgl6vp0uXLpJcCSGaTFEUtiRmYjSZGRsdyMAIX4xVJgx6XXXFShKrVs3JoKOTrwspOSUkZRRxY5f6JVdZRRUUlVfioNPKm38bc9Bp6RboxtELhSSmF8j3tx0JDg4mODgYgKCgIPz8/MjNzVUtuVIURZXrCmELjXp3cujQoRq3I0eOkJ6ezujRo3nsscdsHaMQoh06fL6AzMJySiqqcHdyQKfV4GzQo9NqcJDEqk2IDKreW+l4ZhHU882UpSUw3NcVvfx/YHPRwZbNhGUce1127NjBpEmTCAkJQaPRsGHDhmseHx4ejkajqXWbO3dui8e0atUqwsPDcXJyYtCgQezbt6/O4w4cOIDJZCI0NNRmMQrRntjsL5OHhwfPP/88CxYssNUphbiqKpMZk1mhzFiFyazIfkdtTGlFFbtO5QAwpIsfro6yPLQt6uznhl6noaC0kszCius/QVGsyZW0BDYPGWpxbSUlJcTExLBq1ap6Hf/LL7+Qnp5uvW3ZsgXgquuZdu3aRWVlZa37ExMTyczMbHRM69atIz4+nkWLFnHw4EFiYmIYN24cWVlZNY7Lzc1lxowZvP322/V6fUKI2mz6sV9BQQEFBQW2PKUQtZhMZvafyeOdn5J5e8dp3vkpmQNn8jBJgtVm7DyVg7HKjL+7I306eqodjmgmDnotnf2qk6T6bFybW2Ikr9SITqsh3E9a1ppDe06uRo0aRXR09DWTlAkTJvDSSy9x++231+uc/v7+BAUFWW/ffPMNXbp0YcSIEbWONZvNzJ07l6lTp9bYxiYpKYm4uDjWrl3b6JiWLVvGAw88wOzZs4mOjmbNmjW4uLjw/vvvW4+pqKhg8uTJPPPMMwwZMqRer08IUVujPg5+8803a3ytKArp6el89NFHTJgwwSaBCVGXqkuJ1d6Ui9b7KirN1q/7h3tLy1grdz6vtPqNnQbiegTISN42LjLQnROZRZzILGJ4N79r/rwtVaswHxcZw99MLG2B5/LKKCirxLOBe5C1Ztu3b6djx47Ndn6j0ci//vUv4uPj6/z/XKvVsnHjRm666SZmzJjBRx99REpKCnFxcUyePJmnnnqq0dc9cOAAzz77bI1rjRkzht27dwPV7+NmzZpFXFwc06dPb9wLtCH5vS9as0YlV2+88UaNr7VaLf7+/sycObPGP14hbE2j0ZBwLq/OxxLO5XFDRMNGOgv7YjYrfH+8uk2ld4gnQZ7OKkckmlsnPxcc9VpKKqo4n1dGR5+rV6ROypTAZufp4kAHL2fO55dxPL2QQZ191Q6pzdiwYQP5+fnMmjXrqseEhITw/fffM3z4cKZOncru3bsZM2YMq1evbvR1c3JyMJlMBAYG1rg/MDCQ48ePA9XtiOvWraNPnz7WNVsfffQRvXv3bvR1m0IGWojWrFHJVUpKSr2OO3fuHCEhIbJPgbAZY5Wpzg1lobqCZawy4WyQ9Tmt1aHUPHJLjDgbdAzp6qd2OKIF6LRauga4c/RCAUmZRVdNrgpKjeQUVaDRaKythKJ5RAW7cz6/jGOSXNnUe++9x4QJEwgJCbnmcWFhYXz00UeMGDGCzp0789577zV7JWfYsGGYzfbTWp+YmHjd75MQ9qpZs57o6GjOnDnTnJcQ7YxBr8PRoe7/bR0dtNIq1IoVlVey59JmwcO6+uHkID/L9sIyNfBkVjEmc92fWFtaAjt6O+NkkP83mtPldVcyMdBWzp49y9atW/nTn/503WMzMzN58MEHmTRpEqWlpU2ewuzn54dOp6s1ECMzM5OgoKAmnbuhysvLef3115k4cSIDBgygX79+NW4WoaGh6HTy71y0Ts36Eb+UdYWtKYpCbEfvGmuuLGI7elfvf4T0ardGO5KyqTKZCfFytr65E+1DR29nXBz1lFZUkXqxhAj/2pUp68bBdTwmbCvKOo69/Q21aC4ffPABAQEB3HLLLdc8Licnh9GjRxMVFcXnn3/OiRMnGDlyJI6Ojvz9739v1LUNBgP9+/dn27ZtTJ48GagenrFt2zbmzZvXqHM21v3338/mzZu58847GThwoKytEm2S9E+JVkWv09K/kzcKCr+ey6ei0oyjg5aYjl7Ehnmh18ov6tboTE4Jp7KL0Wg0MsSiHdJoNHQPcCMhLZ+kzKJayVVxeRUZBeWggS6y3qrZWYZaJGUWUWUyy35iVyguLubUqVPWr1NSUkhISMDHx4ewsDBWrlzJV199xbZt26zHmM1mPvjgA2bOnIlef/W3XWazmQkTJtCpUyfWrVuHXq8nOjqaLVu2EBcXR4cOHeqsYl0vJoD4+HhmzpzJgAEDGDhwIMuXL6ekpITZs2fb4ttSb9988w0bN25k6NChLXpdIVqSJFeidVEUvj+eSbcAd/40rDOVJjMGvY6zF0v4bH8aMR29iAn1UjtK0QBVJjM/JFUPsegb6oWvm6PKEQk1RAa5k5CWz+nsklpv6JMvVa2CPZ1lz7MWEObjgqtBR4nRREpOCd0C3dUOyW7s37+fUaNGWb+Oj48HYObMmXz44Yfk5OSQnJxc4zlbt24lNTWVOXPmXPPcWq2WJUuWMHz4cAwGg/X+mJgYtm7dir+/f6NiArjnnnvIzs5m4cKFZGRkEBsby6ZNm2oNuWhuHTp0wN1d/n8SbZt8HCValbS8Mo5nFLHxSDrGKjPOBj06rYbi8irySozsPJVNfolR7TBFA+w/k0dBWSVujnpZPN+OBXk44eHsQKXJzOnskhqPWTcOlpbAFqHVaqzr4KQ1sKaRI0eiKEqtmyWJWbx4ca215mPHjkVRFLp3737d89988804OTnVur9v375XHRN/vZgs5s2bx9mzZ6moqGDv3r0MGjSoXq/ZlpYuXcrTTz/N2bNnW/zaQrSUZk2upLVH2JSisOd09Vqr3h08cbniE+zeHT0J9XGhyqTwXWIG5qssihf2Jb/EyP6z1UMsRnT3x6CXz3vaLY2GyEsVkqSMy4MUyowmzueXAjKCvSXJUAvRHAYMGEB5eTmdO3fG3d0dHx+fGjch2gIZaCFajbTcMi7kl6HTahgQXvOXsEaj4eboQP615ywZBeUcOCt7Xtk9RWF7UhYms0InX1d54yyIDHLnlzO5nMktoaLShKODjtPZxSgK+Ls74tGONrRVW3SIDLUQtjdlyhTOnz/PkiVLCAwMlA/hRZvUrMmV7FMgbEZR2JNyuWpV17oLdycHRnYPYHNiBntSLhLh54qfu6zfsVcns4pJzS1Fp9UwKtIf5I9su+fr5oivmyMXiys4lVVMzw6e0hKoksuVK0muhO38/PPP7N69m5iYGLVDEaLZ1Du5+uMf/1jvk65fvx6o3qdACFu4VtXqSlHB7pzKLuZ0djHfJWZw7w1h6GSCoN0xVpn48UQ2ADeE++DpYrjOM0R7ERnozs/FFSRlFtE10I20vOqWwG6Bkly1pB5B7mg0kF1UQU5xBX4yaEbYQI8ePSgrK1M7DCGaVb0XOHh6etb7JoRNXVG16tPB69rTwjQaRvcIwNmgI6eogr2na++HJdS353QuJRVVeLo40L+Tt9rhCDtiGaRwsbiC01nFGPRavF0NeLvKm/uW5GLQE+7rCkj1StjOK6+8wuOPP84PP/zAxYsXKSwsrHEToi2od+Xqgw8+sPnFd+zYweuvv86BAwdIT0/nq6++sm5wV1lZyXPPPcfGjRs5ffo0np6ejBkzhldeeaVGq2Fubi6PPPII//nPf9Bqtdxxxx2sWLECN7fLn3L+9ttvzJ07l19++QV/f38eeeQRnnrqqRqxfP755yxYsIAzZ87QrVs3Xn31VSZOnGjz1ywaLjW31Fq16h9+/TfiLo564iID+O/hdPafzaWzvytBns4tEKmoj5yiChLS8gEY1T1A9tARNXg4O3BH/44EejhRZjQxe2gEBaWVaofVLkUFu5OSU0LihUKGd6t7DLgQDTF+/HgARo8eXeN+RVHQaDSYTCY1whLCplTdMKSkpISYmBjmzJlTq+2wtLSUgwcPsmDBAmJiYsjLy+Mvf/kLt912G/v377ceN23aNNLT09myZQuVlZXMnj2bBx98kE8++QSAwsJCxo4dy5gxY1izZg2HDx9mzpw5eHl58eCDDwLVPcBTpkzh5Zdf5tZbb+WTTz5h8uTJHDx4kF69erXcN0TUpijsSameJnfdqtUVuga60yO7mOMZRWw+msnUQWHyJt4OKIrC90lZKIpCtwA3Ovm5qh2SsDMmk5lzuaV889sF6ybhsR298XZxQCf/hltUdLAHGw9nSOVK2Mz27dvVDkGIZtfo5OqLL77gs88+IzU1FaOx5r5CBw8erNc5JkyYwIQJE+p8zNPTky1bttS4b+XKlQwcOJDU1FTCwsI4duwYmzZt4pdffmHAgAEAvPXWW0ycOJG///3vhISE8PHHH2M0Gnn//fcxGAz07NmThIQEli1bZk2uVqxYwfjx43nyyScBePHFF9myZQsrV65kzZo1dcZXUVFBRUWF9euiIhlX2xxSc0tJb0DV6kojIwNIyysjr9TIrlM5jIgMaKYoRX0du1BIen4ZDjotN3WXT8JFTVUmM/vP5LH30gcqABWVZvZeagvuH+6NgyRYLUbGsQtbGzFihNohCNHsGvVX6s0332T27NkEBgZy6NAhBg4ciK+vL6dPn75qsmQLBQUFaDQavLy8ANi9ezdeXl7WxApgzJgxaLVa9u7daz3mpptuqrHb+bhx40hKSiIvL896zJgxY2pca9y4cezevfuqsbz88ss11plFR0fb6mUKi0ZWrSwcHXTcHFW9+3xCWj7nckttHqKov3KjiZ9O5QBwY2df3JxkrLaoSaPRkHAur87HEs7loZWJki3KklwlZxdTXintWqLpduzYcc2bEG1BoypX//jHP3j77beZMmUKH374IU899RSdO3dm4cKF5ObmXv8EjVBeXs7TTz/NlClT8PCo/oWfkZFBQEDNaoRer8fHx4eMjAzrMRERETWOCQwMtD7m7e1NRkaG9b4rj7Gcoy7PPvss8fHx1q/Pnz8vCZaNNaVqZdHJz5XeHTw5fL6AzYmZTLsxDEe9zsaRivrYlZxDeaUJXzdHYkO91A5H2CFjlYmKSnOdj1VUmjFWmXA2qNrN3q4Eezrh6exAQVklp7KK6dVBBlaJphk5cmSt+67c60rWXIm2oFGVq9TUVIYMGQKAs7OztSVu+vTp/Pvf/7ZddJdUVlZy9913oygKq1evtvn5G8PR0REPDw/rzd3dXe2Q2hZFYc+lSX99Oja8anWl4d388XR2oKi8kp8ujf8WLSujoIwj5wsAiOsRgFbG44s6GPQ6HB3q/rPk6KDFIB+MtCiNRkN0sGwmLGwnLy+vxi0rK4tNmzZxww03sHnzZrXDE8ImGpVcBQUFWStUYWFh7NmzB4CUlBQURbFddFxOrM6ePcuWLVusVStLHFlZWTWOr6qqIjc3l6CgIOsxmZmZNY6xfH29YyyPi5aXmltKekF5ddWqiaO6HfRaxkYHgQaOXigkJbvYRlGK+jCbFb4/Xv3vNDrYgxAvmdwo6qYoCrEd6/73HtvRG7ON/76I65PNhIUt/X7rHj8/P26++WZeffXVWlOchWitGpVcxcXF8fXXXwMwe/ZsHnvsMW6++Wbuuecebr/9dpsFZ0msTp48ydatW/H19a3x+ODBg8nPz+fAgQPW+77//nvMZjODBg2yHrNjxw4qKy+P8t2yZQuRkZF4e3tbj9m2bVuNc2/ZsoXBgwfb7LWIBrBh1coixNuZfqHVP++tx7IoM0rrQUv57Vw+2UUVODroGNbNT+1whB3T67TcEO7NoAhfawXL0UHLoAhfbpBhFqqICq7uypDkSjSnwMBAkpKS1A5DCJto1LvWt99+G7O5ui9+7ty5+Pr68vPPP3Pbbbfx5z//ud7nKS4u5tSpU9avU1JSSEhIwMfHh+DgYO68804OHjzIN998g8lksq6B8vHxwWAwEBUVxfjx43nggQdYs2YNlZWVzJs3j3vvvde6F9bUqVN5/vnnuf/++3n66ac5cuQIK1as4I033rBe9y9/+QsjRoxg6dKl3HLLLXz66afs37+ft99+uzHfHtFElqqVXtf0qtWVBnfx5czFEnJLjGw/nsXE3kEgC+SbVUlFFbsvJcpDu/jKehlxXTqdlv7h3twQ4YOxyoRBr8OsKDKGXSWWylXihULrXkRCNNZvv/1W42tFUUhPT+eVV14hNjZWnaCEsLFGvdM5d+4coaGh1q/vvfde7r33XhRFIS0tjbCwsHqdZ//+/YwaNcr6tWVAxMyZM1m8eLG1Ovb7f3Dbt2+3Lor8+OOPmTdvHqNHj7ZuIvzmm29aj/X09GTz5s3MnTuX/v374+fnx8KFC61j2AGGDBnCJ598wnPPPcdf//pXunXrxoYNG2SPKzUoivXNeGMmBF6LXqdlXM8g1v2SxsmsIk5kutE9SNbKNaefTmRjrDIT6Okki+FFvVkqVJZkXIe8oVdLt0A39FoNheVVXCgop4O09YomiI2NRaPR1FpCcuONN/L++++rFJUQttWod64RERGkp6fXmtSXm5tLREREvae9jBw58pprtOqzfsvHx8e6YfDV9OnTh59++umax9x1113cdddd172eaF5nc0vJuFS16mfDqpVFgIcTAyN82HP6It8nZdHB29mmCZy4LC23lKTMIjQaiIsMkE+8hWiFHPU6uga4cTyjiGMXCiW5Ek2SkpJS42utVou/vz9OTk4qRSSE7TXqXeXVWgOKi4vlH4hovCvXWtm4anWlG8J9OJ1TQlZhOVsTM/lDbIi0B9qYyWxme1L1EIs+HbwI8JDfC0K0VlHBHtXJVXohY6IDr/8EIa6iU6dObNu2jW3btpGVlWVdYmIh1SvRFjTo3aulbU+j0bBgwQJcXFysj5lMJvbu3Ss9s6LRrqxa2XKt1e9ptRrGRQfyyb5Uzlws4ciFQmlZs7GDZ/PJKzHiYtAzuIvv9Z8ghLBbUcHufHVIxrGLpnv++ed54YUXGDBgAMHBwdLRINqkBiVXhw4dAqorV4cPH8ZgMFgfMxgMxMTE8MQTT9g2QtE+/K5q5dLMrXo+bo4M6eLHTyez2XEimzAfFzycHZr1mu1FYVkle1Oqf5Y3dfPD0UH2JhKiNYsOrv7wSSYGiqZas2YNH374IdOnT1c7FCGaTYPewW7fvh2oHr++YsWKGntOCdEUZy+2TNXqSn3DvDidXcz5/DI2J2ZwR7+O8imaDfyYlIXJrNDR25lIGRgiRKtnGcd+NreUkooqWacqGs1oNDJkyBC1wxCiWTVqtu0HH3xgTazOnTvHuXPnbBqUaGcUhT0pLVe1stBoNNwcHYSDTsv5vDISUvNb5Lpt2ensYk7nlKDVaIjrESBr2YRoA3zdHAlwd0RR4HhGkdrhiFbsT3/603WHkAnR2jXqXazZbOall15i6dKlFBcXA+Du7s7jjz/O//7v/6LVyn4kov7UqFpZeLo4MLybH98fz2JXcg7hfi54uzq2aAxtRamxih+SsgHo18lbvo9CtCFRwR5kFWWTmF7Y4r+nRdtRXl7O22+/zdatW+nTpw8ODjXb8ZctW6ZSZELYTqOSq//93//lvffe45VXXmHo0KEA7Ny5k8WLF1NeXs7f/vY3mwYp2jBFYbcKVasr9e7gSXJ2CWcvlvDd0UzuHhCKVisVl4Za+f0pSssrcXdyYGCEj9rhCCFsKDrEgx9PZMu6K9Ekv/32m3Xw2ZEjR2o8Jm35oq1o1DvZtWvX8u6773LbbbdZ7+vTpw8dOnTg4YcfluRK1NuZi6VkWqpW4Sp9GqrRMCYqkH/tOUNmYTn7z+QysLNMuGuIU1lFvPPTaaZ5wsju/tZNYIUQbUNUcPVSAEmuRFNY1u4L0ZY16h1Qbm4uPXr0qHV/jx49yM3NbXJQop24Yq1VTEcvXAzqLZJ2c9Izqkf1pth7U3LJLixXLZbWRlEUFmw4SqVJIcLPlc7+rmqHJISwsehLQy2SMoowmxWVoxFCCPvVqOQqJiaGlStX1rp/5cqVxMTENDko0T5cWbXqZwc9/JGB7nQNcMOsKHyXmEGVyXz9Jwn+L+ECu09fxFGvZWSkDLEQoi0K93XFUa+l1GjibG6p2uEIIYTdalSp4LXXXuOWW25h69atDB48GIDdu3eTlpbGxo0bbRqgaKPsqGpldWnC3YX8Mi4WG9lz+iLDuvmrHZVdKyir5KX/HgPgkbiueDgnqRyREKI56HVaIoPc+e1cAYkXConwkwq1EELUpVGVq4iICE6cOMHtt99Ofn4++fn5/PGPfyQpKYlOnTrZOkbRBl2uWmntompl4WzQMzoqEIADqXmk55epHJF9W7Y5iZziCjr7ufLATZ3VDkcI0YyiZd2VEEJcV6PKBREREaSnp9caXHHx4kVCQ0MxmUw2CU60UYrCntOWqpWnfVStrtDZ343oYA8S0wv5LjGDTkNl08y6HD5XwEd7zgLwwh964ajXIc1CQrRdMtRCCCGur1GVK0WpezFrcXExTk5OTQpItH1nLpaSWWh/Vasr3RTpj7uTnoLSSl7+9pja4dgdk1nhuQ2HMSswKSaEYd381A5JCNHMJLkSQojra9DH8fHx8UD1XgQLFy7ExcXF+pjJZGLv3r3W/QuEqJOdV60sHPU6bo4OYv3Bc/xrTypjo4O4qbusv7L49JdUfj1XgJujnuduiVI7HCFEC+hxaWLghYJy8kuNeLkYVI5ICCHsT4Pe2R46dAiorlwdPnwYg+HyL1aDwUBMTAxPPPGEbSMUbcqZiyV2X7WyCPVxIaajF+TCU1/8xneP3YSns8N1n9fW5RRX8Nqm6sEVj4/tTqCHVKuFaA88nBwI9XEmLbeMxPRChnSRirUQQvxeg5Iry+Zvs2fPZsWKFXh4eDRLUKKNUhT2nK7eB82eq1ZXGtbNj4gLrqTklPD810dZdk+s2iGp7pVvj1NQVkl0sAfTb5QBNkK0J1FBHqTllnEsvUiSKyGEqEOj1lx98MEHkliJBruyatXfzqtWFnqdlr/fFYNWA+sPnWfTkQy1Q1LVvpRcvjhwDoCXbu+FXteoXyFCiFZK1l0JIcS1yTsj0TJ+V7VybgVVK4v+nbz584guAPzvV4fJKa5QOSJ1VJrMLNhwBIApA0PpF9Y6EmQhhO1YkqvEC5JcCSFEXSS5Ei2iNVatrjR/TDd6BLlzscTI/351+KoTM9uyD3edISmzCG8XB54a10PtcIQQKugZUp1cncoqptJkVjkaIYSwP5JciebXiqtWFo56HcvujsVBp+G7o5l8dei82iG1qPSCMt7YegKAZydE4e0qU8KEaI86ejvj7qjHaDKTnF2sdjhCCGF3JLkSzS4lp7pq5dBKq1YW0SEe/GV0NwAWfX2UC/llKkfUcl78JpFSo4n+nby5s39HtcMRQqhEo9FYR7LLuishhKhNkivRvBSFPSmWqpVXq6xaXemhEV2IDfWiqLyKp7/8rV20B/6QlMXGwxnotBpemtwLrVajdkhCCBXJuqv2Ky0tjZEjRxIdHU2fPn34/PPP1Q5JCLsjyZVoVik5JWRdqlr16+SldjhNptdpWXp3DE4OWn46mcO/9qaqHVKzKq80sejrowDMGhJufVMlhGi/oq0TA4tUjkS0NL1ez/Lly0lMTGTz5s3Mnz+fkpIStcMSwq5IciWajdLGqlYWXfzdeHp89UCHJf89xpmctvuHZc2PyZy9WEqghyPzx3RTOxwhhB24chx7e6jei8uCg4OJjY0FICgoCD8/P3Jzc9UNSgg7I8mVaDbbjmVdUbVqvWut6jJzcDiDO/tSVmniic9/xWRue28wzuSU8I8fkgFYcGs07k4OKkckhLAHkUHuaDVwscRIdlH72ppix44dTJo0iZCQEDQaDRs2bKjX886fP899992Hr68vzs7O9O7dm/3791sfX7x4MRqNpsatRw/bTmWtb+yrVq0iPDwcJycnBg0axL59++o87sCBA5hMJkJDQ20apxCtnSRXolkoisLybdXT5WJCvXA26FSOyLa0Wg2v39UHN0c9+8/m8e5Pp9UOyaYURWHh10cxVpkZ3s2PW3oHqx2SEMJOODnoiPBzBeBoOxtqUVJSQkxMDKtWrar3c/Ly8hg6dCgODg58++23JCYmsnTpUry9a37o2LNnT9LT0623nTt3XvWcu3btorKystb9iYmJZGZmNjr2devWER8fz6JFizh48CAxMTGMGzeOrKysGsfl5uYyY8YM3n777Wu9dCHaJUmuRLPYdiyLI+cLq6tWbXSz2Y7eLiy8NRqApZtPkJTRdtYfbDqSwY4T2Rh0Wp6/rScajQyxEEJcdmVrYFsxatQooqOjr5l8TJgwgZdeeonbb7+93ud99dVXCQ0N5YMPPmDgwIFEREQwduxYunTpUuM4vV5PUFCQ9ebn51fn+cxmM3PnzmXq1KmYTCbr/UlJScTFxbF27dpGx75s2TIeeOABZs+eTXR0NGvWrMHFxYX333/fekxFRQWTJ0/mmWeeYciQIfX+PgjRXkhyJWyurVetrnTXgI6M7hGA0WQm/rMEjFWtf1PN4ooqnv9PIgAPjehMZ383lSMSQtib6JC2N9Ri+/btJCYmMnfuXJue9+uvv2bAgAHcddddBAQE0LdvX955551ax508eZKQkBA6d+7MtGnTSE2te2CSVqtl48aNHDp0iBkzZmA2m0lOTiYuLo7Jkyfz1FNPNSpOo9HIgQMHGDNmTI1rjRkzht27dwPVf99nzZpFXFwc06dPb9R1hGjrJLkSNrf1UtXK1aBrs1UrC41Gw8t39MbLxYGjFwpZ+f1JtUNqsje3nSSjsJxQH2ceHtVV7XCEEHaoLVaumsvp06dZvXo13bp147vvvuN//ud/ePTRR2tUmAYNGsSHH37Ipk2bWL16NSkpKQwfPpyiorqT15CQEL7//nt27tzJ1KlTiYuLY8yYMaxevbrRcebk5GAymQgMDKxxf2BgIBkZGUB1O+K6devYsGEDsbGxxMbGcvjw4UZfU4i2qG2MbxN2Q1EUlm+trlrNHBKOs+G4yhE1vwB3J16a3It5nxxi1Q/JjI4KJCbUS+2wGiUpo4j3dqYA8MJtvXByaLtVRyFE41nGsZ/OLqa80iS/K67BbDYzYMAAlixZAkDfvn05cuQIa9asYebMmUB1y55Fnz59GDRoEJ06deKzzz7j/vvvr/O8YWFhfPTRR4wYMYLOnTvz3nvvNXsL97BhwzCbW3+HhhDNSSpXwqa2Hsvi6IXqqtWfhndWO5wWc2ufECbFhGAyK8R/lkB5pen6T7IziqLw3IbDmMwK43oGMqpHgNohCSHsVIC7Iz6uBswKbWq9aXMIDg4mOjq6xn1RUVFXbfsD8PLyonv37pw6deqqx2RmZvLggw8yadIkSktLeeyxx5oUp5+fHzqdrtZAjMzMTIKCgpp0biHaE0muhM38vmrl42pQOaKW9eIfehLg7khydgmvf5ekdjgN9uXB8/xyJg9nBx0LJ/VUOxwhhB3TaDRXbCYsrYHXMnToUJKSav5NOHHiBJ06dbrqc4qLi0lOTiY4uO5JrTk5OYwePZqoqCjWr1/Ptm3bWLduHU888USj4zQYDPTv359t27ZZ7zObzWzbto3Bgwc3+rxCtDeSXAmb2ZKYaa1aPdCOqlYWXi4GXr2jDwDv70phz+mLKkdUf/mlRl7eeAyAv4zpRgcvZ5UjEkLYu6hgd6B9JVfFxcUkJCSQkJAAQEpKCgkJCdYq1MqVKxk9enSN5zz22GPs2bOHJUuWcOrUKT755BPefvvtGoMznnjiCX788UfOnDnDzz//zO23345Op2PKlCm1YjCbzUyYMIFOnTqxbt069Ho90dHRbNmyhQ8++IA33nijUbEDxMfH884777B27VqOHTvG//zP/1BSUsLs2bOb8m0Tol2RNVfCJqqrVtXDHGYNDce7nVWtLEb1CODeG0L59Jc0nvj8VzbNvwk3R/v/Z/bad0lcLDHSLcCNOUMj1A5HCNEKXB5q0X7aAvfv38+oUaOsX8fHxwMwc+ZMPvzwQ3JyckhOTq7xnBtuuIGvvvqKZ599lhdeeIGIiAiWL1/OtGnTrMecO3eOKVOmcPHiRfz9/Rk2bBh79uzB39+/VgxarZYlS5YwfPhwDIbLf2tjYmLYunVrnc+pT+wA99xzD9nZ2SxcuJCMjAxiY2PZtGlTrSEXQoirs/93faJV2JKYSWL6pbVWw9pf1epKz90azc5TOZzLK+Nv/03k5T/2UTukazqUmse/91V/cvni5F4Y9FLQFkJc35UTAxVFaRf74Y0cORJFUa76+OLFi1m8eHGt+2+99VZuvfXWqz7v008/bVAcN998c5339+3b96rPuV7sFvPmzWPevHkNikcIcZm8ixJNJlWrmtwc9fz9rhg0Gvj3vjS2H8+6/pNUYjIrPLfhCIoCf+zbgRs7+6odkhCileji74ZBp6WooopzeWVqhyOEEHZBkivRZFK1qu3Gzr7W9rqnv/yN/FKjyhHV7V97znL0QiHuTnqenRildjhCiFbEoNfSNaB6k/HEdrTuSgghrkXaAkWTSNWqbnkHl/NQoBmP0FTySoxs/HwLE3rXPfVJLSUVVZzfc4ZZPmZGRQagP3mMvCse9+43X63QhBCtRFSwB4nphRxLL2RcTxnXLYQQUrkSTbL5UtXKzVEvVavf0eu0jIsOQqPRcCKziJOZ9rXoe+fJbIxVZgI8nOjd0VPtcIQQrZBlYmDiBalcCSEESHIlmkBRFFZYqlZDpGpVl0BPJwaGewPw/fEsSiqqVI6o2rncUo5nFIEG4iID2sVCdCGE7UWHXBpqkSHJlRBCgCRXogmurFrdP0zGd1/NDRG++Ls7Ul5pYtuxTKjHtKbmZDIrfJ9UPWSjTwdPAj2dVI1HCNF6WTYSTssto6i8UuVohBBCfZJciUYxm69YayVVq2vSaTWM6xmETqshJadE9faZQ6l55JUYcTboGNLFT9VYhBCtm5eLgeBLH9Acz7Cv1mchhFCDJFeiUTYnZnLMstZquFStrsfXzZHBl8ac/3gym8IydT7hLSyrZG/KRQCGd/XH0UGnShxCiLbDst+V2h8cCSGEPZDkSjSY2aywYlt11Wr20HC8XKRqVR/9OnkT4uWMscrMlsTMem3maGs/nsimyqTQwcvZuhBdCCGaIvqKzYSFEKK9k+RKNNiVVStZa1V/Go2GsdGB6HVazuWV8mtafotePyW7mNPZxWg1GuJ6BIAMsRBC2ECUJFdCCGElyZVoEKlaNY2ni4HhXavXOe08lUNeSctsLlxlMvPDiWwA+oZ54ePm2CLXFUK0fZYq+PGMIqpMZpWjEUIIdUlyJRpkc2IGx9ILcZeqVaP16ehJmK8LJrPC5sQMzObmbw/8JSWXwrJK3J30DIrwbfbrCSHaj06+rjg76KioMnPmYona4QghhKokuRL1duWEQKlaNYFGw81RgRj0WjIKyjlwNq9ZL5dXYmR/avU1RnQPwEEv/+yFELaj02qIDLq0mXC6TAwUQrRv8i5L1NvmxAyOZxTh7qhnjlStmsTNyYFRkQEA7Em5SE5RRfNcSFHYnpSF2awQ7utKF3/X5rmOEKJds24mLOuuhBDtnCRXol6kamV7PYLc6eLvhtms8N3RDExm269VOJFZTFpuKTqthpGRMsRCCNE8ZKiFEEJUk+RK1Mt3R6VqZXMaDXFRATgbdOQUV7D3dK5NT19RZeLHk9VDLAaG++Dp4mDT8wshhEX0paEWsteVEKK9k+RKXJdMCGw+LgY9o3sEArD/bC7p+WU2O/ee5IuUVlTh5WKgXydvm51XCCF+LzKounKVVVTBxeJmanMWQohWQJIrcV1XVq3uH9ZZ7XDanC4BbkQFeaAo1XuIVdpglHF2UTm/nssHYFSkP3qd/FMXQjQfN0c94b4uAByToRZCiHZM3nGJa6pRtRoWIa1lzWREpD9ujnryS43sOpnTpHMpisL3x7NQFOgW6E6YrwyxEEI0P1l3JYQQklyJ69h0ZdVqqKy1ai6ODjpujq5uD/z1XD5puaWNPlfihUIyCspx0Gm5qZu/rUIUQohrsiRXiZJcCSHaMUmuxFWZzQortkrVqqWE+brSp6MnAFsSM6ioMjX4HGVGEztPVVe+Bnf2xc1Jb9MYhRDiaqRyJYQQklyJa9h0NIOkzCLcnaRq1VKGdfPH08WBovIqdiRlN/j5u07lUF5pws/NkZhQL9sHKIQQV2HZ6+pUVnGjPhwSQoi2QJIrUacrq1ZzhkrVqqU46LSMiw4CTXVrzens4no/Nz2/jKMXCgCI6xGAVit7WgkhWk6IpxMeTnqqzAqnsur/u0sIIdoSVZOrHTt2MGnSJEJCQtBoNGzYsKHG4+vXr2fs2LH4+vqi0WhISEiodY6RI0ei0Whq3B566KEax6SmpnLLLbfg4uJCQEAATz75JFVVVTWO+eGHH+jXrx+Ojo507dqVDz/80MavtnW5smol+1q1rGAvZ/qHVY9O33YskzLj9T8BNpurh1gA9AzxINjLuVljFEKI39NoNFe0BsrEQCFE+6RqclVSUkJMTAyrVq266uPDhg3j1VdfveZ5HnjgAdLT06231157zfqYyWTilltuwWg08vPPP7N27Vo+/PBDFi5caD0mJSWFW265hVGjRpGQkMD8+fP505/+xHfffWebF9rK1KpaOUvVqqXd2NkXXzcDpUYT249ngqJc8/hf0/LJKa7AyUHH0K4yxEIIoQ7rUAvZTFgI0U6putp9woQJTJgw4aqPT58+HYAzZ85c8zwuLi4EBQXV+djmzZtJTExk69atBAYGEhsby4svvsjTTz/N4sWLMRgMrFmzhoiICJYuXQpAVFQUO3fu5I033mDcuHGNe3Gt2LdHpGqlNv2l9sBPf0njZFYxSZlF1k06f6+4vIrdpy8CMLSrH84GXUuGKoQQVpZ1VzLUQgjRXrWJNVcff/wxfn5+9OrVi2effZbS0stjrHfv3k3v3r0JDAy03jdu3DgKCws5evSo9ZgxY8bUOOe4cePYvXv3Va9ZUVFBYWGh9VZU1DZaIKr3tToBwP3DpGqlJn8PJwZF+ACw/XgWxeVVdR6342Q2lSYzQZ5O9AypOwETQoiWEG1pC8woRLlOxV0IIdqiVp9cTZ06lX/9619s376dZ599lo8++oj77rvP+nhGRkaNxAqwfp2RkXHNYwoLCykrK6vzui+//DKenp7WW3R0tC1flmq+PZLBicxi3J30zJYJgaobEO5DoIcTFVVmth6r3R6YerGEk5lFaDQQFxmARiNDLIQQ6uka4IZOqyG/tJKMwnK1wxFCiBbX6pOrBx98kHHjxtG7d2+mTZvGP//5T7766iuSk5Ob9brPPvssBQUF1ltiYmKzXq8lSNXK/mi1Gsb1DESn1XD2YglHzl9utakymdmeVD3EIqajF/4eTmqFKYQQADg56Oji7wrIuishRPvU6pOr3xs0aBAAp06dAiAoKIjMzMwax1i+tqzTutoxHh4eODvXPXXN0dERDw8P683d3d2mr0MNG4+kS9XKDnm7OjK0ix/ergZcHXWYzAplxuoWweFd/QnxcubGLr4qRymEENVkM2EhRHvW5pIry7j24OBgAAYPHszhw4fJysqyHrNlyxY8PDysrXyDBw9m27ZtNc6zZcsWBg8e3DJB24ErJwRK1cr+xIZ5cfeAUDIKy3nnp2Te3nGad3eeJrOonMmxHXDUyxALIYR9iJZx7EKIdkzVaYHFxcXWChNUj0RPSEjAx8eHsLAwcnNzSU1N5cKFCwAkJSUB1ZWmoKAgkpOT+eSTT5g4cSK+vr789ttvPPbYY9x000306dMHgLFjxxIdHc306dN57bXXyMjI4LnnnmPu3Lk4OjoC8NBDD7Fy5Uqeeuop5syZw/fff89nn33Gf//73xb+jqhn45F0TmYV4yFVK7tkMiskpOazLyXXel9FpZl9Kblo0NA/3BsHXZv7rEQI0QpJ5UoI0Z6p+m5s//799O3bl759+wIQHx9P3759rXtQff311/Tt25dbbrkFgHvvvZe+ffuyZs0aAAwGA1u3bmXs2LH06NGDxx9/nDvuuIP//Oc/1mvodDq++eYbdDodgwcP5r777mPGjBm88MIL1mMiIiL473//y5YtW4iJiWHp0qW8++677WYMe82qVWepWtkhjUZDwrm8Oh9LOJeHVgZZCCHshCW5SrlYQqmx7imnQgjRVqlauRo5cuQ1R7XOmjWLWbNmXfXx0NBQfvzxx+tep1OnTmzcuPG6sRw6dOi652qL/nv4ctVq1tBwtcMRdTBWmaioNNf5WEWlGWOVCWeDqv+chRACAH93R/zcHMkpruB4RhH9wrzVDkkIIVqMvBtrIXkHl6sdQp0URSFlz1lm+Ri5sbMv5mPHqLs+At795rdkaOIKBr0ORwdtnQmWo4MWg6y5EkLYkegQD3acyOZYeqEkV0KIdkUWabRzJzOLyS0x4qjXEhvmpXY44ioURSG2Y91vUGI7emOWzTqFEHYkKrh6gq6suxJCtDdSuWrHFEVhb8pFAPqFecvEOTum12m5Ibw6uUo4l0dFpRlHBy2xHb25IdwbnQyzEELYEcvEQNnrSgjR3khy1Y5dWbWKkaqV3dPptPQP9+aGCB+MVSYMeh1mRZHESghhdyxDLY5nFGE2K2i1MnRHCNE+yLuydkqqVq2Tg06LTqvB2aBHp9XI+HUhhF3q7OeKQa+l1GgiNbdU7XCEEKLFyDuzdkqqVkIIIZqLXqclMlDWXbUmaWlpjBw5kujoaPr06cPnn3+udkhCtEqSXLVDUrUSQgjR3CxDLRIluWoV9Ho9y5cvJzExkc2bNzN//nxKSkrUDkuIVkfWXLVD1qqVg06qVkIIIZqFZd2VVK5ah+DgYIKDgwEICgrCz8+P3NxcXF1d/397dx4WVd2+Afw+rKKg4IbihiiKuIGA5paCuKK9mvnTMlFTSdNM3EJNpXJP1Nz3tbc0d01zwy1TcwuXcEHcF0DcAEGBmef3B++cmMQyHRhnuD/X5XXFOWdmni8zDec+3+UYuTIi08Keq3xGRHBU12tVzpG9VkRElCs81XCVbORKDOfgwYNo164dXFxcoCgKNm3a9FKPu337Nj788EMUK1YMdnZ2qFmzJk6cOJHntc2ZMweurq4oUKAA6tWrh2PHjuX4XCdPnoRGo0G5cuUMWiNRfsBwlc9cik/GQ/ZaERFRLvP4X7i6/SgNj1MzjFyNYTx58gS1a9fGnDlzXvoxDx8+RMOGDWFtbY2ff/4Z0dHRiIiIgJNTzvcu/PXXX5GR8fzvKzo6GvHx8a9c25o1azB48GCMHTsWp06dQu3atdGyZUskJCToHffgwQMEBwdj4cKFL91GIvoThwXmI1lzrR4AYK8VERHlriJ21ijjaIfbj9IQfTcJ9SsVM3ZJr61169Zo3br1v3rM5MmTUa5cOSxbtkzdVrFixRyP1Wq16N+/P9zd3bF69WpYWmb9nb548SICAgIwePBgDB8+/JVqmzZtGvr06YOePXsCAObPn49t27Zh6dKlCAsLAwA8e/YM7du3R1hYGBo0aPCv2klEWdhzlY9k77XyYq8VERHlMlOad+Xv7w9PT89/1Sv1MrZs2QJfX1906tQJJUuWhLe3NxYtWpTjsRYWFti+fTt+//13BAcHQ6vVIjY2FgEBAWjfvv0Lg9U/SU9Px8mTJxEYGKj3WoGBgThy5AiArAuwPXr0QEBAALp16/ZKr0NEDFf5RvZeK5/yjrBhrxUREeUyTxfTCVf79u1DdHQ0+vfvb9DnvXLlCubNmwd3d3fs3LkT/fr1w8CBA7FixYocj3dxccHevXtx6NAhfPDBBwgICEBgYCDmzZv3yjUkJiZCo9HA2dlZb7uzszPi4uIAZA1HXLNmDTZt2gQvLy94eXnh7Nmzr/yaRPkVhwXmE3pzrco5GrscIiLKBzz/txz7+bg3P1zlFq1WC19fX0yYMAEA4O3tjXPnzmH+/Pno3r17jo8pX748Vq1ahSZNmsDNzQ1LliyBoii5WmejRo2g1Wpz9TWI8gP2XOUD7LUiIiJj0A0LvBSfggxN/jxxL126NDw9PfW2VatWDTdu3HjhY+Lj4xESEoJ27dohNTUVoaGhr1VD8eLFYWlp+dyCGPHx8ShVqtRrPTcR6WO4ygd0vVYF2GtFRER5qJxTQRSysUR6phZX7uXPG9I2bNgQFy9e1Nt26dIlVKhQIcfjExMT0axZM1SrVg0bNmxAZGQk1qxZg6FDh75yDTY2NvDx8UFkZKS6TavVIjIyEvXr13/l5yWi5zFcmTm9FQLLO7HXioiI8oyFhaIuyW4K867+SUpKCqKiohAVFQUAuHr1KqKiotReqNmzZ6NZs2Z6jwkNDcXRo0cxYcIEXL58Gd9//z0WLlyY49wurVaL1q1bo0KFClizZg2srKzg6emJ3bt3Y9myZZg+ffor1zZ48GAsWrQIK1aswPnz59GvXz88efJEXT2QiAyDc67M3KW47L1WRYxdDhER5TOepQvj5PWHOH83Ce29yxi7nNdy4sQJ+Pv7qz8PHjwYANC9e3csX74ciYmJiI2N1XuMn58fNm7ciBEjRuCrr75CxYoVMWPGDHTt2vW557ewsMCECRPQuHFj2NjYqNtr166NPXv2oESJEq9cW+fOnXHv3j2MGTMGcXFx8PLywo4dO55b5IKIXg/DlRljrxURERmbbt5VtBn0XDVt2hQi8sL94eHhCA8Pf25727Zt0bZt25d6jebNm+e43dvb+7VqA4ABAwZgwIABL1UHEb0aDgs0Y5fikvEwlb1WRERkPNV0KwaaQbgiIvonDFdmir1WRET0JqhaygGKAiSmpCMh+amxyyEiylUMV2bqol6vlaOxyyEionyqoI0VKhYvBAA4fzfZyNUQEeUuhiszpNUKjun1WvFtJiIi46lmRisGEhH9HZ51m6FL8ey1IiKiN4enblGLOwxXRGTeGK7MDHutiIjoTcNFLYgov+CZt5lhrxUREb1pPEtnrVh7JfEJnmZojFwNEVHuYbgyI1rtnysE+lRgrxUREb0ZnAvbwqmgNTRaQUx8irHLISLKNTz7NiOx91Lw6H+9VrXKOhq7HCIiIgCAoijZbib82MjVEBHlHoYrE5ep0UKjFaSmZ6Ji8UJoV8sFDSsXY68VERG9Uf5cMZDLsROR+bIydgH06jQaLU5ce4ioWw/xLEMLW2sL1C7rCD/XosYujYiISI+6YiAXtSAiM8ZwZaIy/xesfrt6X932LEOLY1cfQIECH1cnWFuy94qIiN4M2e91JSJQFMXIFRERGR7Pvk2UoiiIuvUwx31Rtx7Cgn+0iIjoDVK5pD2sLRUkP83ErYdpxi6HiChXMFyZqPRMDZ5laHPc9yxDi/RMLnVLRERvDhsrC1QqYQ+A97siIvPFcGWibKwsYWud89tna20BGyvLPK6IiIjo73lyUQsiMnMMVyZKROBV1inHfV5lnaAVyeOKiIiI/p6ny5/zroiIzBEXtDBRVpYW8HPNClfZVwv0KusEP1cnWHIxCyIiesNU44qBRGTmGK5MmKWlBXxcneBXsSjSMzWwsbKEVoTBioiI3ki6cHXjQSqSn2bAoYC1kSsiIjIsnoWbOGtLC1haKLCzsYKlhcLl14mI6I1VtJANnAvbAgAuxnHeFRGZH56JExERUZ7xLM15V0RkvhiuiIiIKM/8Oe+KPVdEZH4YroiIiCjPcFELIjJnDFdERESUZ3Th6mJcEjRa3jaEiMwLwxURERHlmYrFC6GAtQWeZmhx7f4TY5dDRGRQDFdERESUZywtFFQtxUUtiMg8MVwRERFRnvIs7QAAiL7DcEVE5oXhioiIiPJUNS7HTkRmiuGKiIiI8tSf97ricuxEZF4YroiIiChPefwvXMUlPcWDJ+lGroaIyHAYroiIiChP2dtaoXzRggA4NJCIzAvDFREREeW5av9b1ILhiojMCcMVERER5TnP0kUAANEMV0RkRhiuiIiIKM/92XPFRS2IyHwwXBEREVGe0y3HfjkhGemZWiNXQ0RkGAxXRERElOfKOtnBoYAVMjSCywkpxi6HiMggGK6IiIgozymKgmqleDNhIjIvDFdERERkFJ4uDFdEZF4YroiIiMgodItacMVAIjIXDFdERERkFLpFLc7fTYKIGLkaIqLXx3BFRERERlHF2QEWCvAwNQPxSc+MXQ4R0WtjuCIiIiKjKGBtiUol7AFw3hURmQejhquDBw+iXbt2cHFxgaIo2LRpk97+DRs2oEWLFihWrBgURUFUVNRzz/H06VP0798fxYoVg729PTp27Ij4+Hi9Y27cuIGgoCAULFgQJUuWxLBhw5CZmal3zP79+1GnTh3Y2tqicuXKWL58uYFbS0RERH+lGxrIeVdEZA6MGq6ePHmC2rVrY86cOS/c36hRI0yePPmFzxEaGoqtW7di7dq1OHDgAO7cuYN3331X3a/RaBAUFIT09HQcPnwYK1aswPLlyzFmzBj1mKtXryIoKAj+/v6IiorCoEGD0Lt3b+zcudNwjSUiIqLnVCtdGEUL2eBRarqxS6F/cPPmTTRt2hSenp6oVasW1q5da+ySiN44VsZ88datW6N169Yv3N+tWzcAwLVr13Lc//jxYyxZsgTff/89AgICAADLli1DtWrVcPToUbz11lvYtWsXoqOjsWfPHjg7O8PLywtff/01Pv/8c4SHh8PGxgbz589HxYoVERERAQCoVq0aDh06hOnTp6Nly5aGbTQRERGp3qntgu4NKuDBk3SkZ2qRqdWioI1RT0/oBaysrDBjxgx4eXkhLi4OPj4+aNOmDQoVKmTs0ojeGCY95+rkyZPIyMhAYGCgus3DwwPly5fHkSNHAABHjhxBzZo14ezsrB7TsmVLJCUl4Y8//lCPyf4cumN0z5GTZ8+eISkpSf2XnJxsyKYRERGZvWcZGvx44ibemhiJRpP3wXf8biw4cAXPMjTGLo1yULp0aXh5eQEASpUqheLFi+PBgwfGLYroDWPS4SouLg42NjZwdHTU2+7s7Iy4uDj1mOzBSrdft+/vjklKSkJaWlqOrz1x4kQUKVJE/efp6WmIJhEREeULaemZmLs/Ft9GxiApLWsedFJaJr6NjMHc/bFITc/8h2fIe/80Vzwn4eHhUBRF75+Hh8e/Piavap8zZw5cXV1RoEAB1KtXD8eOHcvxuJMnT0Kj0aBcuXIGrZPI1Jl0uDKmESNG4PHjx+q/6OhoY5dERERkMiwtLLDs8NUc9y07fBVWFm/eKco/zRV/kerVq+Pu3bvqv0OHDr3SMTq//vorMjIyntseHR393KJe/6b2NWvWYPDgwRg7dixOnTqF2rVro2XLlkhISNA77sGDBwgODsbChQtf+FxE+ZVJD2ouVaoU0tPT8ejRI73eq/j4eJQqVUo95q9XXXRfPNmP+euXUXx8PAoXLgw7O7scX9vW1ha2trbqz0lJXOWIiIjM18NTMwz6fGnpmXjX7gqQ859ZJJ44CzsDz71yqjPohfv8/f1hbW2N/v37o3///jke809zxV/EyspKPed4nWMAQKvVon///nB3d8fq1athaWkJALh48SICAgIwePBgDB8+/JVqnzZtGvr06YOePXsCAObPn49t27Zh6dKlCAsLA5A1LaJ9+/YICwtDgwYN/rFeovzmzbss9C/4+PjA2toakZGR6raLFy/ixo0bqF+/PgCgfv36OHv2rN5Vl927d6Nw4cLqUL769evrPYfuGN1zEBERkWHZWFnC1jrn0xBbawvYWFnmaT379u1DdHT0C4PV64iJiYGLiwvc3NzQtWtX3Lhx45WOAQALCwts374dv//+O4KDg6HVahEbG4uAgAC0b98+x2D1MtLT03Hy5Em9OegWFhYIDAxU56CLCHr06IGAgAB10TEi0mfUcJWSkoKoqCj1/lVXr15FVFSU+oXy4MEDREVFqUPuLl68iKioKHWuVJEiRdCrVy8MHjwY+/btw8mTJ9GzZ0/Ur18fb731FgCgRYsW8PT0RLdu3XD69Gns3LkTX3zxBfr376/2PPXt2xdXrlzB8OHDceHCBcydOxc//vgjQkND8/g3QkRElD+ICLzKOuW4z6usE7QieVxR7qhXrx6WL1+OHTt2YN68ebh69SoaN26stxDWyxyTnYuLC/bu3YtDhw7hgw8+QEBAAAIDAzFv3rxXrjMxMREajSbHOei6865ff/0Va9aswaZNm+Dl5QUvLy+cPXv2lV+TyBwZdVjgiRMn4O/vr/48ePBgAED37t2xfPlybNmyRe2aBoAuXboAAMaOHYvw8HAAwPTp02FhYYGOHTvi2bNnaNmyJebOnas+xtLSEj/99BP69euH+vXro1ChQujevTu++uor9ZiKFSti27ZtCA0NxbfffouyZcti8eLFXIadiIgol1hZWsDPNStcRd16iGcZWthaW8CrrBP8XJ1gaWnSg2tU2Yfi1apVC/Xq1UOFChXw448/olevXi99zF+VL18eq1atQpMmTeDm5oYlS5ZAUZRcbUujRo2g1Wpz9TWITJ1Rw1XTpk0hf3NlqkePHujRo8ffPkeBAgUwZ86cv52gWaFCBWzfvv0fa/n999//9hgiIiIyHEtLC/i4OsGvYlGkZ2pgY2UJrYjZBKucODo6okqVKrh8+fJrHRMfH4+QkBC0a9cOx48fR2hoKGbNmvXKdRUvXhyWlpY5zkF/mblgRJTFfL+9iIiI6I1nbWkBSwsFdjZWsLRQYG3GwQrImhIRGxuL0qVLv/IxiYmJaNasGapVq4YNGzYgMjISa9aswdChQ1+5LhsbG/j4+OjNQddqtYiMjOQcdKJ/wby/wYiIiIgM5J/mis+ePRvNmjXTe8zQoUNx4MABXLt2DYcPH0aHDh1gaWmJ999//18do6PVatG6dWtUqFABa9asgZWVFTw9PbF7924sW7YM06dPf6XagazpGYsWLcKKFStw/vx59OvXD0+ePNGbokFEf8+kl2InIiIiyiv/NFc8MTERsbGxeo+5desW3n//fdy/fx8lSpRAo0aNcPToUZQoUeJfHaNjYWGBCRMmoHHjxrCxsVG3165dG3v27MnxMS9TOwB07twZ9+7dw5gxYxAXFwcvLy/s2LHjuUUuiOjFGK6IiIiIXsI/zRUPDw9XF9zSWb169T8+78sck13z5s1z3O7t7f3Cx/xT7ToDBgzAgAED/lU9RPQnDgskIiIiIiIyAIYrIiIiIiIiA2C4IiIiIiIiMgCGKyIiIiIiIgNguCIiIiIiIjIAhisiIiIiIiIDYLgiIiIiIiIyAN7nykC0Wi0A4O7duznuT3vwOC/LyRVPbt36149hu00X2/3y2G7TxXa/PHNtt+7vtu7vOBHR61DkZe4oR//o+PHjqFu3rrHLICIioldw7Ngx+Pn5GbsMIjJxDFcGkpmZid9//x3Ozs6wsMjb0ZbJycnw9PREdHQ0HBwc8vS1jYntZrvzA7ab7c4PjNlurVaL+Ph4eHt7w8qKA3qI6PUwXJmBpKQkFClSBI8fP0bhwoWNXU6eYbvZ7vyA7Wa784P82m4iMj9c0IKIiIiIiMgAGK6IiIiIiIgMgOHKDNja2mLs2LGwtbU1dil5iu1mu/MDtpvtzg/ya7uJyPxwzhUREREREZEBsOeKiIiIiIjIABiuiIiIiIiIDIDhioiIiIiIyAAYroiIiIiIiAyA4YqIiIiIiMgAGK6IiIiIiIgMgOHKhOSHVfO1Wm2O2/ND24nIvImI+l2W377ToqKikJmZCSD/tZ2I8heGKxMQFRWFlJQUKIpi7FJylVarhYVF1kfy/PnzuHz5MmJjYwHA7NtO+RtPNs2T7mKRLlQoioIrV66o/51fpKamwt/fH0OHDgWQv9pORPkPw9UbbvTo0QgNDcVPP/0EjUZjtidhIqIGq5EjR6Jjx45o0KABmjdvjpEjRxq5utyne1/v37+PhISEHPeZG1277t69i/Pnz+Px48fIyMgA8OIeTHOga/fNmzcRHR2Nmzdv4unTp0auKvfp2h0bG4vLly/j+vXrz+0zNxYWFrh06RKGDRsGAFi7di1q1qyJixcvGrmy3JW9hw4AChYsiG+//RYHDx7Erl27jFgZEVHuszJ2AfRiI0eOxKJFi/D999/Dx8cHlpaW6r7svTzmQHcl85tvvsGCBQuwZs0aaDQaXL9+HYMHD0ZiYiIWLlxo5Cpzj6Io2LhxIyZOnIi4uDi0b98ewcHB8PX1haIoEBGzutqra8+mTZswevRoJCYmonz58mjdujUGDhyIokWLmt1nHPiz3Rs3bsTnn38OKysrPHv2DE2bNkXfvn3h5+dn7BJzjaIoWLduHQYPHozMzEy4ubkhODgYISEhZvkZ17l16xa+/fZbnD9/Hnv27MGSJUtQtWpVs20v8Of3+bFjx1C1alUUKVIEzZs3x8aNG7F9+3a8/fbbKFCggJGrJCLKJUJvpOPHj0uVKlXkyJEjIiLy+PFjuXTpkixYsEBiYmJERESj0RizxNd28+ZNvZ/T09OlQ4cO8vXXX+tt37Vrl1hbW8u3336bl+XlqRMnToizs7OMHTtWIiIixM3NTdq1aye7du1Sj9FqtUas0PC2b98uDg4OEhERIfHx8RIaGiouLi4SEhIi9+7dExHT/4znZP/+/eLg4CAzZ84UEZHp06eLtbW1LF261MiV5Q7d5/b27dtSqVIlWbx4saxfv14GDRok5cuXl6lTpz53rLnQtWf06NGiKIr4+/vLkydPjFxV3rh06ZIoiiLVq1eXhQsXyt27d+XgwYNiZ2cnO3fuFBHz/P+biMi8LgubkQIFCuDZs2dIS0vDuXPn8MUXXyAoKAiTJk1CzZo1cenSJZO+qt+rVy8MHDhQb1tGRgb++OMP3L9/X92m0WjQvHlz9OnTB/v27UN6errZDSG6fPky9u/fj08++QTh4eEYPHgwNm3ahPj4eMycORN79uwBAPXqvin65Zdf9H5OSEjAtGnTMGrUKAwePBhWVlZYv349ypUrh8OHD+OLL77AgwcPYGFhYTZDBHXt+Omnn9CpUyd8+umnuH37NmbNmoVevXqhZ8+eAIDHjx8bs0yDUxQFR44cwaxZs9C6dWv07NkT7777LoYMGYIePXpg+vTpiIiIUI811c94TjQaDQDA0tISgwcPxsGDBzFo0CDcvXs3x+PNqe3FihWDn58fbt26hevXr6Nr166wsLDAsGHD8OmnnyIuLs6k/4YREb0Iv9neMBcuXEBqaiqcnJxQs2ZN9O/fH/Xq1UNGRga+/vprHD9+HBUrVsSOHTuMXepriYiIwJo1awAADx8+BJA1Lv+DDz7AwYMHcfToUQBQh0IWKVIESUlJsLa2NpuhNCKCBw8eICAgAF988YXeCVfNmjWxaNEixMfHY/bs2di2bRsA05wIvnfvXgQFBSExMVE9eSxWrBi6d++Od955B/fu3UODBg3Qpk0bHD16FD4+PlizZg369++PxMREkzwByx4IdfPIdG1/8uQJ6tSpg8ePH6Nu3boIDAzE3LlzAQCbN2/Gnj171JNyc5CSkoKVK1di3rx5OH/+vPp+li1bFn369EGvXr0we/ZsjBs3DoBpfsb/Svde6xayGDNmDKZOnYrNmzdj6dKlGDt2LOLj49XjT5w4AcA82n779m0kJCSgaNGiWLhwIcqUKYMiRYogODgYLVu2xLlz55CcnIxFixYhPT3d2OUSERmc6Z21mLENGzbAz88P27ZtQ5kyZRAREYGJEydi27ZtmDlzJjp37gw7OzvY29ujRIkSxi73tTg6OsLa2hpLlixB9erVERMTAwDw9/dH4cKFMXv2bBw+fBhA1pX8EydOwM3NzSxOPoA/594ULVoUK1euRNmyZXH69Gn1JAsAatWqhSVLliA6OhqrVq1CamqqESt+dQ0aNMDly5dRvHhx3LhxA0BWaH733XdRrVo1LF++HJUrV8b48eMBAHXq1EHp0qWRkZFhsidfFhYWuHXrFgDA2toa27dvx+LFiwFkffYnT56MGjVq4L333sOcOXOgKAoyMjKwbt06HD9+3Cx663QBw97eHn369MH777+PQ4cOYdWqVeoxZcuWRUhICDp27IgffvgBDx48MPneG93/27t27ULfvn3Rpk0bhISE4OrVqwgKCsK2bduwbNkyjBkzBqdOncK4ceMQGBiod/HBVF24cAFBQUEYPnw4Tp48idq1ayM4OBh37txBcHAw9u3bBwcHB8THx2Pjxo3qhQciIrNilMGI9EL/+c9/xNXVVdatWydPnz5Vt6elpcmVK1ckKChIfH19JTMz04hVGk58fLx4eXlJzZo15fLlyyIisnHjRmnevLk4OzuLr6+vuj89PV1ETHtehq523funm3MQGRkprq6u8uGHH8qpU6f0HnPu3Dm5cuVK3haaC65cuSKKosg333yjt33IkCFSt25dSUlJUX+ePHmy3L9/3xhlGkRycrL4+vpKYGCgrFu3ThRFkbVr14qISFJSkrRo0UIcHR0lOTlZRLLmG44YMULKlCkjFy9eNGbpr033GU9LS5OMjAx1+6VLl6RPnz7i4eEh3333nd5jbt++rc6zMwcbN24UOzs7GTVqlEydOlUaN24shQsXlri4OBER2bNnjxQtWlRq164tzs7OcuLECSNXbDgzZ86UDz/8UBwcHGTJkiXy3//+V5o3by67d+8Wkazv/N27d6vf90RE5obh6g3UsWNHKV++vKxdu1ZSU1NFRGTu3LnSunVradCggRoyTC1gvWjycmJiotSpU0c8PDwkNjZWREQuXLggmzdvlpEjR8q8efPUk7TsJ2umRnfSuWfPHunfv7907dpVxo8fL/Hx8SIisnPnTnF1dZWuXbtKVFSUMUvNFRkZGRIeHi42NjZ6i5PMmTNH6tatKx07dpRu3bpJoUKF5NKlS0as9PU9ffpUIiMjpWTJkmJrayurVq0SkawQpdVqJTIyUqpXry6lS5eWZs2aScuWLaVkyZLPBWtTo/uMb9u2TVq1aiUNGzaUNm3ayLFjx0REJCYmRkJCQqRq1ary/fffG7PUXHP//n1p0KCBTJ8+XUREbty4IeXKlZPevXuLyJ+/o/Pnz8uBAweeW9jHlOjakpqaqncxJDU1VWbMmCGlSpWSTz/9VNzd3aVmzZomfcGEiOhlMVwZ2Zw5c2Tfvn3PBY8OHTpIqVKlZN26dSIicubMGVm1apUaqEwtZGRv39GjR2XHjh1y5swZefjwoYhknZDoAtaLrmiaWpjMycaNG6VAgQLSu3dvad68ufj6+kqFChXk+vXrIpK1MqK7u7u88847cubMGSNX+3p0J17R0dHyyy+/yI0bN0REZOrUqaIoisyYMUNEsoLI2LFj5d1335XWrVubZLtzunBw7do1cXJyEkdHR/nPf/6jt0+r1cqDBw9k/PjxMmzYMJkxY4Z6YcHU/fTTT2JtbS1Dhw6VcePGSZMmTcTFxUUNmH/88Yd88sknUrJkSfnxxx+NXK3h3bhxQ8qXLy+3bt2Su3fvSpkyZSQkJETdv2bNGvV7z5Tp/v/eunWrBAYGioeHhwQFBcmqVavUi4IHDhyQTz/9VOrXry+KosiXX35p0iMPiIheBsOVkXl5eUnZsmXl119/fe4EzcvLS2rVqiUrV67U+4NkSiFDq9Xq1T58+HBxcXERV1dXsbGxkS5duqjL8t6/f198fHzE09PT5HsucnLv3j3x8vKSKVOmqNvOnj0rLVq0kIoVK0pCQoKIiOzYsUNq164tt2/fNlapBrNx40axt7eXSpUqia2trSxatEji4+Nl2rRpoiiKREREiMif4SQtLc2Y5b6W27dvy/Hjx0VE5LvvvpMhQ4ZIbGys7Nq1SypVqiRt2rRRjzW1iyMvQ6vVSkpKijRr1kzCwsL09vXs2VNcXFzk9OnTIiJy8uRJCQ0NNauhYb/99ps8ePBAUlNTpU2bNrJo0SIpX768fPzxx+r7fePGDenatats377dyNUaxvbt28XGxkbCwsJk/vz50qJFC6lbt66MGjVKDVgJCQly+PBh8ff3l/Pnzxu5YiKi3MdwZST//e9/1WExAQEB4urqKocOHVKDk1arlc6dO4ujo6O89957xiz1lf11uMuCBQukRIkScuDAAXn48KH89NNP0qJFCwkKCpKDBw+KSFYA8fX1lRo1asidO3dExHzuhXL16lVxdnbWu3dVZmamREVFSZ06dWTWrFlqW039XjgajUbu378vDRs2VO/NNm7cOFEURSZNmiR3796VadOmia2trUyYMMHY5b4WrVYraWlp4ufnJ//5z39k4sSJoiiKLFiwQESyeuY2bdoklStXlrZt26qPmzt3rixatEg0Go3JXc3PXm/2oKjRaMTb21sd9pl93mj9+vWlU6dO6s/Pnj3Lg0pzh25+oM7ly5elTJkycuHCBdFoNNK5c2dRFEWvvSJZF5dM9cJJYmKiiGS99xqNRp48eSJt27bVC9Lp6ekycuRI8fPzM8teSSKil8FwZQTnzp0Tb29vqVWrlmzbtk1ERJo2bSqurq5y8OBB9cS6Z8+eEh0dbZLh4pNPPpFhw4aJyJ89bR999JEEBwfrHbd//37x8fFRjxXJ6sHy9vaWhg0b5l3BeeDp06dSp04dGTVqlN52rVYrdevWlQEDBuhtM0XZFzNITU2VkSNHyoMHD9T9M2bM0AtY48ePl6JFi+odY6piYmKkXLlyoiiKjB07Vm9f9oBVq1Yt6du3ryiKIn/88Ydxin0NuvdYd7ItInLw4EH59ddfRUTE399fWrVqpe7TBaxBgwbphUtTNXfuXKlRo4ZeQIqNjZWKFSuq8yeTk5PF29tbvLy8ZPLkybJy5Ur5+OOPpXDhwiY5n/K7776TZs2aPfd5bdq0qQwePFhE/vyez8zMlLfffls6d+6c53USEb0JuBR7Hhs2bBjGjh0LOzs73Lp1C59++ik2b96Mffv2wd3dHd27d0eHDh3QoEEDHD16FFWqVDHJG6m2aNFCXVr70aNH6vbk5GQAf94HqEmTJnj//fexZMkSPHr0CCKCokWLYtKkSbh//z5iY2PzvHZDkGz3uUlLSwMA2NraomnTpti9ezc2bNigHqsoCsqUKQNHR0dI1gUPk11yXlEUbN68Ge3bt4evry82bNiAmzdvqvs/++wzTJ8+HWPGjMH8+fPRq1cvxMTEwMnJyYhVv76MjAwULVoUlpaWKFmyJC5evIjffvtN3W9ra4s2bdpg1apVqFq1KhISEnD69Gl4enoasepXoygKEhMT0bZtW0yYMAFbtmxBkyZNkJSUBAAYMWIEYmJi1JuE29raAgASExPh4OCAzMxMk15yvHnz5khOTsYHH3yAO3fuAMi6XYS1tTWKFSsGjUYDe3t77Nu3D56envjxxx8xefJkxMfH49ChQ6hdu7aRW/DydO9TSkoK0tPTER4ejvPnzwMAnj17hiJFiiA6OhpA1u0VNBoNLC0t0bJlS9y8edNkb6VARPRajJns8ptly5aJo6OjnDx5Uh48eCB3796VFi1aiK+vr2zZskVERCZNmiQff/yxfPLJJ+pwG1Pqufprj8uKFSukZcuWcvv2bVm7dq0oiiK//PKL3jFr1qyRt956S5KSktRtU6dOFXd3d72r46Yi+4ppXbp0kWrVqsnQoUMlMjJSnj59Km3btpW33npLPvvsM/nxxx9lwIABUrhwYbOYj3D8+HEpXLiw9O3bV3r06CHW1tby2WefybVr1/SOmzhxojg5OZnk+/t3kpOT5fTp01K5cmV599135ciRIzkep5uPYmp0dV+/fl3GjRsnZcuWlQIFCsgPP/ygHpOUlCSzZs2SihUrir+/v4wePVq6d+8uhQoVkrNnzxqrdIO6evWqVKpUSRo1aiRxcXFy+PBh8fDwyHEu3ZMnTyQ5OVlviKSpyP75Xblypfj7+0uHDh3U9/HMmTNiZ2cnAwcO1Ps7FRwcLB07dlRXtiUiyk8YrvLQqFGjpFGjRqLRaNQ/RLdu3ZJ69eqp97bS0e039Ynvc+fOlfr168sHH3wgt2/fls8++0yKFCki27Ztk2vXrsnDhw+lefPm0rZtW71gtmHDBpMMG7o2bN68WQoWLCijR4+WVatWSdOmTaVixYpqm4cPHy5vvfWWuLu7S+PGjeX33383buEGcPnyZRkzZoxMnDhR3TZ37lwpW7ashIWFPRewTH0ooO69joqKkh9++EFWrlyptvG3336TypUrS6dOneTw4cMiIjJixAgJDw/Xe6wpWblypTg7O6v3atqxY4coiiLOzs5677lIVsg8cOCAtG3bVpo1aybvvfee2QQrHV3AatGihWzZskW8vLxk5syZsm7dOtm3b59s3LhRli5dKufOnTN2qa9k7969UqJECb33dsWKFWrA0q3quX79erGzs5OAgADp0aOHdO/eXezt7U1y1U8iIkNguMoDuhOpr776Snx9fdUV0XRX9fbu3SsFCxYUf39/Wb16tdHqzC3Lly+Xxo0by//93//JsWPHJCwsTOzs7KRs2bLi6ekpXl5eJnvvLpGsHirdKmharVYSEhKkSZMm6n1uUlNTpUSJEhIaGvpcL2R8fPxzk+NN0ePHj8XX11eKFy8uI0eO1Ns3e/ZsKVOmjIwaNUrvZsimGDD+at26dVKuXDnx8/OTJk2aiLW1tWzdulVERE6cOCHVq1eXt956S1q0aCEFCxZ8YU/Wm0z3Pu3bt0/q168vNWrUkISEBLl//75s2bJFJk6cKB4eHs/NM8vOHHowdL+HCxcuqBd+rl69KpUrVxZFUaR69epSq1YtqVGjhvj4+Ii7u7tUrVpVLly4YMyyX9mFCxdk6NChUr16dZk8ebK6fcWKFdK0aVPp0KGDREdHi0jW7RaCg4OlQ4cOEhwcbHZBmojo32C4ykNnzpwRS0tL9eq1zo4dO6Rjx44SEBAggYGBJr2KVnbZT56XLl0qTZo0kc6dO8uDBw/k9OnTsnbtWlm7dq3J3rtLRCQuLk4qVqyoLj4ikrWSmI+Pj1y4cEGuXLkiZcqUkT59+qiP2bFjh8TExBir5Fxz6tQpcXd3l4YNGz53cjVv3jwpUKCAfPnllyb5Pufk+PHjUrRoUVm4cKGIiFy8eFEURZGvvvpKDdFRUVEycuRIGTBggEkuXiGSda8ikaz/n48cOSKNGjVSA5ZI1v28xo4dKx4eHvLll1+qj/vuu+/URS5MPUjr6l+/fr14enrKmDFj5O7duyKSFbB8fHykZs2aEhsbKxkZGZKRkaEu6mJqpk6dql7wuX79unz++edStWrVFwYs3YUlXYA2hyBNRPQ6GK7y2LJly8Ta2lqGDRsmJ06ckNjYWAkKCpLx48dLdHS0KIoiu3fvNnaZBvPXgNWoUSPp3Lmz2oOh22+KPVY6J0+eFD8/P+ndu7ecPXtW0tLSxNPTU+bPny+VK1eW3r17q+27evWqdOnSxWzuc/NXp0+fFi8vLwkJCXluONTixYtN9v5lulsFZLd27Vp1qe0rV65I2bJlpV+/fup+3bDHzMxMk5o3mV1kZKQ4ODioq+BptVo5dOiQNGrUSDw8PNQhgtevX5fw8HDx8PCQjz76SEaNGiWKopjVfax27twpdnZ2Mm/ePDVY6ly9elXc3NzE399fvVm2KYqJiZHGjRvrDcmOiYn524DVqVMnvRUQTT1IExG9LoYrI1i3bp2ULFlSypYtK2XKlBFvb29JS0uTa9euibu7u3ol0Fz8NWA1btxYL2CZg1OnTkmdOnWkV69ecufOHZk9e7YoiqJ341gRkZEjR0qNGjVM+gTsn+h+F7179zbZ3prsdAHj3r17ep/ladOmScOGDSU2NlbKly8vISEhaojasmWL9O/f3+SHfKalpanBKvsFEV3Aqlatmhqwbt68KbNmzZK6detK/fr15dSpU0ar25C0Wq08ffpUunXrJkOGDFG3iehfFLp27Zo4OTlJq1atTPZiUWZmpiQnJ4uIyC+//KL+94sC1qpVq8Tb21u6detmNiMuiIheF8OVkdy6dUuOHDkiBw8eVE/IwsLCxMPDQx1uYk6yn5QuX75c3n77bfn888/l6dOnZnOl89SpU+Ll5SW9e/eWPXv2yNChQ8XS0lKmTJkiU6ZMkX79+omDg4NZLF7xT06dOiV169aVLl26mOTCJNllDxjZF+U4duyYNGnSRJycnKRHjx4i8udCNKGhofJ///d/8vjx47wvOBdcuXJFFEWRKVOmiMiLA9bTp09Fo9HIo0ePjFlurmjQoIGEhobmuE93seT69esmO+Q3+/fwnTt3xN/fXypXrqxeIHhRwPrhhx+eW6yGiCg/Y7h6A5w7d066desmxYoVM+sT7+x/vIcOHSqNGjUyu6udp06dEh8fH/n4449l165dMmvWLKlevbrUq1dP3n///Xw10VsXPu7cuWPsUgxCFzC++eYbERF59uyZ9O7dW0qVKiWzZ8+WlJQUuXXrloSFhUmxYsVMdpW4nGRkZEh4eLjY2NioC7VkD1g1a9Y0u4tC2XunUlJSJDAwUD744AN1m+6YmzdvSlhYmNkMgTx16pSEhITI2rVrpUGDBlKnTp3nAlb16tWfmztMRERZGK6MLCMjQ06dOiVDhgwxq5OxF9GdsISHh4ubm5tZXuE+efKk+Pr6Su/eveXOnTtqm3WrROYn5tTm7AFj2rRpIpLVvo4dO0rNmjXF3t5eGjRoIJUqVTL5IXG6z2x0dLT88ssvas/M1KlTRVEUvYD166+/So0aNaRevXomO7csO13bnzx5IiKi3p9q69ateuFaZ8SIEeLr66v2bpq6adOmiY+Pj5w4cUIOHToktWvXFh8fH72ANWDAAPHz85PExESzGXlARGQoisj/bsFORpWRkQFra2tjl5EnRATr1q1DlSpVULt2bWOXkyt+//13fPzxx3Bzc8Po0aNRvXp1iAgURTF2afSSdO/X+fPncf/+fVSoUAHlypVDREQEhg0bhm+++QZDhgxBeno6zp8/j6ioKFSuXBmurq4oU6aMsct/bZs2bUK3bt3g7OyMW7duYfbs2XjnnXfw3//+F0OGDMG0adMwaNAgaLVaHD9+HM7OznB1dTV22a9F957//PPPWLhwIR4/fozixYtj5MiR8PLywsyZMzFo0CB06NAB9vb20Gg02Lp1K/bv3w9vb29jl/9KdG1OS0uDnZ0dAKBx48YoUKAAdu/ejaNHj6Jfv36wtLTEgQMHUKhQIVy5cgX29vYoWbKkkasnInoDGTHYEZk1cxsWlx9t3LhR7O3tpVKlSmJrayuLFi2S+Ph4mTZtmiiKIhEREcYu0eA0Go3cv39fGjZsKAsWLJCYmBgZN26cKIoikyZNkrt378q0adPE1tZWJkyYYOxyDW7z5s1iY2MjYWFhMnDgQGnTpo0UKFBAvX9ZZGSkfPjhh9KuXTvp27evWSzasmPHDvnwww9l586dIpI1d8zNzU0mTZokIlnL8detW1fc3NxMfpEWIqLcxnBFlIvMaVhcfvJvAobuBNTUZR++mpqaKiNHjlSXkxcRmTFjhl77x48fL0WLFpX79++bzdCw9PR0ad26tYSFhanbUlNTZdCgQWJraytnzpwREVHniprDPdu0Wq306dNHFEWRokWLytixY+XKlSsyfvx4ee+99+TMmTOi1Wplx44d0rRpU7Na5ZWIKDdYGbvnjMicFShQwNgl0L8g/xsilZ6eDjs7OzRp0gSdOnWCk5MTRo0aBXt7e4SGhgIAunfvjrS0NEyZMgUhISFwcnIycvWvR1EUbN68GfPmzcPNmzeh1WrRuXNntV2fffYZAGD48OFIS0tDv3790LdvXxQtWtSYZRvM5s2bERMTg2vXruGdd94BkPV5sLW1xbhx43Du3DnMnDkTc+fOhYWFBQDA0tLSmCW/Msk2RFlRFPTu3RspKSmoUaMGNm7ciPj4eGRmZuKPP/7A7t27UbNmTQQEBKBx48YoWLCgkasnInqzWRi7ACKiN4UuYLRv3x6+vr7YsGEDbt68qe7/7LPPMH36dIwZMwbz589Hr169EBMTY/LBCgBOnDiB4OBgVKxYEXXr1kVsbCyWLl2K69evq8d89tln+PLLLzFz5kxYWVmZTbA6efIkPvroI1SoUAFVqlTBtm3bkJqaCkVRoCgKChUqhFKlSiExMRHW1tawssq6LmmqcygVRcHevXuxePFiAICvry+KFSuG2NhY7N27F7Vq1QIAXLhwAUOHDsWRI0dgbW3NYEVE9BIYroiI/ie/BozY2Fhs3boVI0aMwLx587Bs2TJ8++23WL9+PebPn6/X/rCwMMTGxqJYsWJGrNhwLl++jC1btqBPnz7o1KkTWrdujXv37iEiIgJPnz5VA5SVlRWcnJyQkZEBMfF1oDQaDX777TeEhIQgODgYR44cwcyZMxEVFYUZM2agX79+iIiIQP/+/eHi4oISJUoYu2QiIpPB1QKJiJAVMFauXAk7OzuEhYUBAObNm4cJEybgww8/RN++fVGhQgX1+IcPH5pFj1VSUhKaNWuGa9euISQkBOPHj1f3zZkzBxMnTkSPHj3Qq1cvVKxYEQDMZuVLXduvX7+Orl27Yvr06cjMzMSIESNw4MABODg4IDAwEBcvXsT69etx9OhRVK9e3dhlG8yZM2cwbNgwpKSkwM/PD61atcL8+fMxfPhwNGjQAADw6NEjODo6GrdQIiITwp4rIsr3kpKS0KVLF8ydOxfJycnq9n79+iEsLAyrVq3CokWLcPXqVXWfuZxwFi5cGAsXLoSTkxMOHDiAc+fOqfv69++PL774AhEREVi1ahUyMzMBmO5wuL/Std3R0RH79+/HqVOnYGVlhUmTJmHAgAEoVaoUNm3ahJSUFBw+fNisghUA1KpVCytXrkTfvn1x4MABvPfeezhz5gy2b9+uHmMun3MiorzCnisiImTdm6xz584oWbIk5s+fjxo1aqj75s+fj9DQUIwYMQIjR45U59yYkzNnzqB79+6oW7cuBg4cqBcklixZgrfffhvu7u5GrDD3nDlzBt26dUPdunXx6aefqnOOACAtLQ1WVlZmfx/CjIwMfP7555g9ezacnJxw+fJlODg4GLssIiKTw3BFRPQ/+TlgAFkBs3fv3qhTpw5CQ0Ph6elp7JLyTPa2Dxo0yOx6qf5O9mGee/bsgbu7u94QWCIienkMV0RE2eTngAFktb9v375wc3PD2LFj4eHhYeyS8kx+bru5zKMjIjI2zrkiIsrG29sbixcvxpkzZ/D111/jwoULxi4pT3l7e2P27Nm4e/cuihQpYuxy8lR+bjuDFRGRYbDniogoB8ePH8ewYcPwww8/oHTp0sYuJ889ffo0394EOz+3nYiIXg/DFRHRC/Akm4iIiP4NhisiIiIiIiID4JwrIiIiIiIiA2C4IiIiIiIiMgCGKyIiIiIiIgNguCIiIiIiIjIAhisiIiIiIiIDYLgiIiIiIiIyAIYrIiIiIiIiA2C4IiIiIiIiMgCGKyKibDQaDbRarbHLICIiIhPEcEVEbzxXV1fMmDFDb5uXlxfCw8MhIggPD0f58uVha2sLFxcXDBw4UD3u2bNnGDp0KMqUKYNChQqhXr162L9/v7p/+fLlcHR0xJYtW+Dp6QlbW1vcuHEDrq6umDBhAj766CM4ODigfPnyWLhwoV4Nn3/+OapUqYKCBQvCzc0No0ePRkZGhro/PDwcXl5eWLp0KcqXLw97e3t88skn0Gg0mDJlCkqVKoWSJUti/Pjxes/76NEj9O7dGyVKlEDhwoUREBCA06dPG+4XSkRERLnCytgFEBG9jvXr12P69OlYvXo1qlevjri4OL0gMmDAAERHR2P16tVwcXHBxo0b0apVK5w9exbu7u4AgNTUVEyePBmLFy9GsWLFULJkSQBAREQEvv76a4wcORLr1q1Dv3790KRJE1StWhUA4ODggOXLl8PFxQVnz55Fnz594ODggOHDh6uvHxsbi59//hk7duxAbGws3nvvPVy5cgVVqlTBgQMHcPjwYXz00UcIDAxEvXr1AACdOnWCnZ0dfv75ZxQpUgQLFixAs2bNcOnSJRQtWjSvfrVERET0LykiIsYugojo77i6umLQoEEYNGiQus3Lywvt27dH4cKFsWDBApw7dw7W1tZ6j7tx4wbc3Nxw48YNuLi4qNsDAwNRt25dTJgwAcuXL0fPnj0RFRWF2rVr671m48aNsWrVKgCAiKBUqVL48ssv0bdv3xzrnDp1KlavXo0TJ04AyOq5+uabbxAXFwcHBwcAQKtWrXDx4kXExsbCwiJr8ICHhwd69OiBsLAwHDp0CEFBQUhISICtra363JUrV8bw4cMREhLyGr9JIiIiyk3suSIik9apUyfMmDEDbm5uaNWqFdq0aYN27drBysoKZ8+ehUajQZUqVfQe8+zZMxQrVkz92cbGBrVq1XruubNvUxQFpUqVQkJCgrptzZo1mDlzJmJjY5GSkoLMzEwULlxY7zlcXV3VYAUAzs7OsLS0VIOVbpvueU+fPo2UlBS9+gAgLS0NsbGx/+ZXQ0RERHmM4YqI3ngWFhb4aye7bm5TuXLlcPHiRezZswe7d+/GJ598gm+++QYHDhxASkoKLC0tcfLkSVhaWuo93t7eXv1vOzs7KIry3Ov+tSdMURR1sYsjR46ga9eu+PLLL9GyZUsUKVIEq1evRkRExD8+x989b0pKCkqXLq03L0zH0dHxuW1ERET05mC4IqI3XokSJXD37l3156SkJFy9elX92c7ODu3atUO7du3Qv39/eHh44OzZs/D29oZGo0FCQgIaN25s0JoOHz6MChUqYNSoUeq269evv/bz1qlTB3FxcbCysoKrq+trPx8RERHlHYYrInrjBQQEYPny5WjXrh0cHR0xZswYtSdq+fLl0Gg0qFevHgoWLIjvvvsOdnZ2qFChAooVK4auXbsiODgYERER8Pb2xr179xAZGYlatWohKCjolWtyd3fHjRs3sHr1avj5+WHbtm3YuHHja7c1MDAQ9evXR/v27TFlyhRUqVIFd+7cwbZt29ChQwf4+vq+9msQERFR7uBS7ET0xhsxYgSaNGmCtm3bIigoCO3bt0elSpUAZA2VW7RoERo2bIhatWphz5492Lp1qzpnadmyZQgODsaQIUNQtWpVtG/fHsePH0f58uVfq6Z33nkHoaGhGDBgALy8vHD48GGMHj36tduqKAq2b9+Ot99+Gz179kSVKlXQpUsXXL9+Hc7Ozq/9/ERERJR7uFogERERERGRAbDnioiIiIiIyAAYroiIiIiIiAyA4YqIiIiIiMgAGK6IiIiIiIgMgOGKiIiIiIjIABiuiIiIiIiIDIDhioiIiIiIyAAYroiIiIiIiAyA4YqIiIiIiMgAGK6IiIiIiIgMgOGKiIiIiIjIAP4fKXpU04SpQawAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 640x480 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"matplotlib.rc_file_defaults()\n",
"ax1 = sns.set_style(style=None, rc=None )\n",
"\n",
"fig, ax1 = plt.subplots()\n",
"plt.xticks(rotation=45, ha='right')\n",
"\n",
"\n",
"sns.lineplot(\n",
" data=df, x='username', y='total_upvotes',\n",
" marker='o', ax=ax1, label=\"Sum of upvotes\")\n",
"ax1.get_legend().remove()\n",
"\n",
"ax2 = ax1.twinx()\n",
"sns.barplot(data=df, x='username', y='num_posts',\n",
" order=df['username'], alpha=0.5, ax=ax2, log=True,\n",
" color=\"orange\", label=\"Number of posts\")\n",
"\n",
"\n",
"# ask matplotlib for the plotted objects and their labels\n",
"lines, labels = ax1.get_legend_handles_labels()\n",
"lines2, labels2 = ax2.get_legend_handles_labels()\n",
"ax2.legend(lines + lines2, labels + labels2, bbox_to_anchor=(1.55, 1))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You should see a correlation between total number of upvotes and total number of posts. In order to track user impact on a more equal footing, normalize the total number of upvotes relative to the total number of posts, and plot the result:"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df['upvotes_normalized'] = df['total_upvotes']/df['num_posts']\n",
"\n",
"df.plot(x='username', y='upvotes_normalized', marker='o', color='green')\n",
"plt.xticks(rotation=45, ha='right')\n",
"plt.ylabel(\"Number of upvotes (normalized)\")\n",
"plt.gca().get_legend().remove()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You've been working with data taken at a single snapshot in time from when you ran the last query. Run the same query again, and store the output in `response2`, which you will compare with the previous results:"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div class=\"druid\"><table>\n",
"<tr><th>num_posts</th><th>total_upvotes</th><th>username</th></tr>\n",
"<tr><td>404</td><td>28166</td><td>willow</td></tr>\n",
"<tr><td>418</td><td>29413</td><td>jojo</td></tr>\n",
"<tr><td>419</td><td>29202</td><td>mia</td></tr>\n",
"<tr><td>419</td><td>29456</td><td>miette</td></tr>\n",
"<tr><td>428</td><td>29472</td><td>gus</td></tr>\n",
"<tr><td>433</td><td>30160</td><td>milton</td></tr>\n",
"<tr><td>440</td><td>31212</td><td>leon</td></tr>\n",
"<tr><td>443</td><td>31063</td><td>rocket</td></tr>\n",
"</table></div>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"response2 = sql_client.sql_query(sql)\n",
"response2.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Normalizing the data also helps you evaluate trends over time more consistently on the same plot axes. Plot the normalized data again, this time alongside the results from the previous snapshot:"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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GjRpl9HilD1AZpA+QEKIitl7ZSuhPofg4+RD3Yly5C5r3x+ynx7Ie+Dj5ED8n3shRisqobB+gYhq1hpjwGDISMnDydsI/xN9iR36qmqH6AEkNkBBCGEh5uj+XpY1XGxQouJFxg6TMJDwdPY0VojATSpWSgN4Bpg6jRpN0UwghDECr1er6/+gz/QXgaONIkzpNAJkGE6KqSAIkhBAGcPbmWa6nXcfOyo6+Dfrq/XwphBaiakkCJIQQBlA8/dW/YX8crB30fn4773aAjAAJUVUkARJCCAPQTX811W/6q5hsiWFZZP2Q6Rjq714SICGEqKSbWTc5FHcIgKFNhlboGsVL4a/cvkJ6XrrBYhOGVdwJuXgDUFH1iv/u/9mpWl+yCkwIISqpuPtzO+921HOuV6Fr1HWoi6+zL3HpcZxKPEVI/RADRykMQaVS4erqqtv/ysHBQfZvqyJarZbs7Gxu3ryJq6srKpWqUteTBEgIISqpstNfxYK9golLjyMiMUISIDPm5eUF/L0JqKharq6uuv8HlSEJkBBCVEJeYR5bo7YC5dv89H6CvYLZeGmj1AGZOYVCgbe3Nx4eHhQUFJg6nBrF2tq60iM/xSQBEkKISthzfQ+Z+Zl4O3rrVnJVlG5LDFkKbxFUKpXB3oxF1ZMiaCGEqITi6a+hTYaiVFTuV2rxSrBzt86RV5hX6diEEPcmCZAQQlSQVqvV9f/Rt/tzWfxd/KltV5tCTSHnbp2r9PWEEPcmCZAQQlTQ+VvnuZZ6DTsrO/o37F/p6ykUCpkGE6KKSAIkhBAVVDz607dB3wp1fy6LNEQUompIAiSEEBWkm/6q5PL3uxUnQCcSThjsmkKI0iQBEkKICkjOTuZg7EGg8svf71Y8BXYq6RRqjdpg1xVClCQJkBBCVEBx9+e2Xm3xdfY12HWb1WmGvZU92QXZXL592WDXFUKUJAmQEEJUgDGmvwBUShVtvNoAUghdHak1anZf282qM6vYfW23jPKZkCRAQgihp3x1PluvGKb7c1mkELp6Wh+5noBFAfRZ0YfH1j9GnxV9CFgUwPrI9aYOrUaSBEgIIfS09/peMvIz8HL0ooNPB4NfXxKg6md95HrGrB5DXHpciePx6fGMWT1GkiATkARICCH0ZMjuz2W5uxeQVqs1+PVF1VJr1MwKm4WW0v8vi4/NDpst02FVTBIgIYTQw93dn40x/QXQyqMVKoWKlJyUUiMGwvKEx4Tf9/+jFi2x6bGEx4RXYVRCEiAhhNBDZHIkV+9cxVZly4CGA4xyDzsrO1q4twBkGqw6SMhIKNd5Xxz5gvDr4eSr840ckQBJgIQQQi/F0199G/Sllk0to91HtsSoPrydvMt13vrI9fRc3pPaC2oT+mMo/97/b47fOC5TY0Zi0gQoICAAhUJR6jFjxgwAvv/+e3r37o2zszMKhYLU1NRyXferr74iICAAOzs7OnfuzJEjR4z4KoQQNYmxp7+KSSF09RHiH4Kvsy8KFGV+X4GC2na1GdtiLO4O7mQXZLM1aiuv7niVDos74P5vd0b9MoqvjnxF5K1IqQszECtT3vzo0aOo1X9ntmfPnmXAgAGMHTsWgOzsbEJDQwkNDWXu3LnluuYvv/zCnDlz+Pbbb+ncuTMLFy5k0KBBXLx4EQ8PD6O8DiFEzZCSncKB2AOAJECi/FRKFYtCFzFm9ZhS3ytOin546AdGBY5Cq9Vy9uZZ/oz+k53RO9lzfQ93cu+w4cIGNlzYAICPkw99G/Slb0Bf+jXsh7+Lf5W+nupCoTWjVHL27Nls2rSJy5cvo1D8nSnv3r2bPn36cOfOHVxdXe97jc6dO9OxY0e+/PJLADQaDX5+frzwwgu8/vrr5YojPT0dFxcX0tLScHZ2rvDrEUJULz+e/pEnNjxBa8/WnHr2lFHvlZabhusCVwCSX0mmjkMdo95PGN/6yPU8suYRCrWFumN+zn4sDF3IqMBRZT6nUFPI8RvH2Rm9kz+j/2R/7H5yC3NLnNOodiP6NehXlBQ16It7LXejvg5zps/7t0lHgO6Wn5/Pjz/+yJw5c0okP/pe4/jx4yVGi5RKJf379+fgwYP3fF5eXh55eXm6r9PT0yt0fyFE9Was7s9lcbFzoWHthly9c5WIxAj6N+xv9HsK4wrxD9ElP4uHLaZxncaE+IegUqru+RwrpRWdfTvT2bczb4S8QW5hLgdjD+oSoiPxR4i6E0XUnSi+P/E9AK09W+tGh3rW74mzrXyQL4vZJEC//vorqampTJ48ucLXSE5ORq1W4+npWeK4p6cnFy5cuOfz5s+fz3vvvVfh+wpRXhq1hpjwGDISMnDydsI/xB+lStYiWIICdQFhV8KAqkmAANp5tytKgBIkAaoODsYVfRBv4d6Cp9o/VaFr2FnZ0adBH/o06ANAel46e6/v1U2ZnU46rXssPLwQlUJFx3oddQlRN79u2FnZGew1WTK9EqDIyEh+/vlnwsPDuX79OtnZ2bi7uxMcHMygQYMYPXo0tra2FQpkyZIlDB48GB8fnwo9vzLmzp3LnDlzdF+np6fj5+dX5XGI6i1yfSRhs8JIj/t7hNHZ15nQRaEEjgo0YWSiPMJjwknPS8ejlgcd63WsknsGewWz9vxaqQOqJorrx7r5djPYNZ1tnRnWdJiuJu1W1i12XdulS4iu3L7CobhDHIo7xLx987BV2dLdv7suIerg0wErpdmMhVSpcr3qEydO8Oqrr7Jv3z66d+9O586defjhh7G3t+f27ducPXuWf/3rX7zwwgu8+uqrzJ49W69E6Pr16+zYsYP16yvXCrxu3bqoVCqSkpJKHE9KSsLLy+uez7O1ta1w4iZEeUSuj2T1mNX8sxFsenw6q8esZtzacZIEmbmNF4umv4zV/bksUghdvegSID/DJUD/5F7LnXEtxzGu5TgAYtJidMnQzqs7SchM4M/oP/kz+k/e3PUmTjZO9AropashauXRqsr+fZtauRKg0aNH88orr7B27dr7FiEfPHiQRYsW8cknn/DGG2+UO4hly5bh4eHB0KFDy/2cstjY2NC+fXt27tzJyJEjgaIi6J07d/L8889X6tpCVJRGrSFsVlip5AcoOqaAsNlhNBvRTKbDzNTd3Z+ravoL/u4FdDH5Iln5WUbtOySMK1+dz9EbRwHjJkD/5O/iz+S2k5ncdjJarZaLKRd1CdGu6F3cyb3DpkubdP2t3B3c6dOgD/0a9KNfg340rN2wwnW55q5cCdClS5ewtrZ+4Hldu3ala9euFBQUlDsAjUbDsmXLmDRpElZWJcNJTEwkMTGRK1euAHDmzBmcnJzw9/fHzc0NgH79+vHwww/rEpw5c+YwadIkOnToQKdOnVi4cCFZWVk8+eST5Y5JCEOKCY8pMe1VihbSY9OJCY8hoHdAlcUlyu9iykWi7kRho7JhQCPjdH8ui5ejF16OXiRmJnI66TRd/bpW2b2FYZ1KPEVuYS5u9m40rdPUJDEoFAqa121O87rNea7jc6g1ak4lnWLn1Z38ee1P9l7fy63sW6w+t5rV51YDRQnU3SvMfJyqvkzFWMqVAJUn+ano+Tt27CAmJoYpU6aU+t63335boji5Z8+eQNGIUXGxdFRUFMnJybpzHnnkEW7dusXbb79NYmIibdu2JSwsrFRhtBBVJSMhw6DniapXPP3VJ6APjjaOVXrvYK9gtlzZQkRihCRAFuzu6S9zGVFRKVW0825HO+92vNL9FfLV+RyJP8LOqzvZGb2TQ3GHiEmLYdnJZSw7uQyA5nWb60aHegX0ws3ezcSvouLKlQB9/vnn5b7gzJkz9Qpg4MCB9+xq+e677/Luu+/e9/nXrl0rdez555+XKS9hNqwdyveBwMnbyciRiIradLloesDYzQ/LokuAZEsMi3YgzvAF0IZmo7Khh38Pevj34J3e75CVn8W+mH26KbMTCSe4kHyBC8kX+OroVyhQ0M67HX0b9KVfg3708O9RrmlatUZNeEw4CRkJeDt5P7AVgLGUKwH67LPPSnx969YtsrOzdfVAqampODg44OHhoXcCJER1Fn8kni0vbLn/SYqi1WD+IdLN1RzdzrnN/pj9QNXW/xTT7QkmhdAWrSoKoA2tlk0tBjUexKDGgwC4k3OH3dd263oQRSZHcjzhOMcTjvPvA//GWmlNF98uuimzzr6dsVHZlLjm+sj1zAqbRVx6nO6Yr7Mvi0IX3bMZpLGUKwGKjo7W/XnlypV8/fXXLFmyhGbNmgFw8eJFpk2bxjPPPGOcKIWwMFqtlmPfHCNsdhiaAg2OXo5kJmX+9c3S54cuDJUCaDMVdiUMtVZNkEcQ9V3rV/n9i1eCnbl5hgJ1AdYq/UoShOnFpsUSlx6n68ljqWrb1+bhwId5OPBhAG5k3GBX9K6iFWbRO4lJiyE8JpzwmHDe3fMuDtYOhPiH6BKi6DvRjFs7Du0/fgnGp8czZvUY1o5bW6VJkN5bYTRq1Ii1a9cSHBxc4vjx48cZM2ZMiWTJUslWGKIy8jPz2fTMJs6sPANA4KhAHlr6ENE7o0v1AQLo+XZP+rzXxxShinJ4dN2j/Hz2Z+b2mMu8fvOq/P4arYbaC2qTnpfOqWdP0dqzdZXHICrnl7O/MH7deDr4dODotKOmDscotFotV+9c1Y0O/Rn9J7eyb5U4R4GiVPJz9/d8nX2JnhVdqekwo26FkZCQQGFhYanjarW6VP8dIWqaW5G3WDNmDbfO30KhUjDg4wF0ebELCoWCwFGBNBvRTNcJ+vza81xYf4Fzv5yj5796orKp+jlwcX8F6gK2XC6awjTF9BeAUqGkrVdb9l7fS0RChCRAFqh4+qurb/UtYlcoFDRya0Qjt0Y83f5pNFoN526e0yVEO67uIKcw557P16IlNj2W8Jhwegf0rpKY9R5z79evH8888wwnTpzQHTt+/DjTp0+nf39p1S5qrrO/nGVxx8XcOn8LR29HJu+eTNc5XUus+FCqlAT0DiDo0SBGLBlBLY9apFxM4dDCQyaMXNzL/tj9pOWl4e7gTqd6nUwWhzREtGy6AmgLqv+pLKVCSZBnELO7zOb3R3/n++Hfl+t5CRkJRo7sb3onQEuXLsXLy4sOHTroOih36tQJT09PfvjhB2PEKIRZU+er2TJzC+vGr6Mgq4CAPgE8E/EM/j3uX9Rs52pH/4+LPjTseX/P/XsFCZMoXv4+pMkQk6xSKVacAJ1IOPGAM4W5ycrP0q3gq0kJ0D/5OvuW6zxvJ28jR/I3vafA3N3d+eOPP7h06ZJug9HmzZvTtKlpGjsJYUppsWmsGbuG+MPxAPSY24M+7/dBaVW+zxZtnmjDie9PEHsglm0vb2PMz2OMGa7Qkym6P5elnXc7AE4mnkSj1dSYrQqqg2M3jqHWqqnnVA8/55q7x2SIfwi+zr7Ep8eXWQdUXAMU4h9SZTFV+KcoICCAZs2aMWTIEEl+RI0UtS2K74K/I/5wPHaudoz/fTz95vUrd/IDoFAqGPLVEBRKBed+OUf0LstfRFBdXEq5xOXbl7FWWldp9+eyNK/bHFuVLRn5GVy9c9WksQj9mGMDRFNQKVUsCl0EFCU7dyv+emHowiodadU7AcrOzmbq1Kk4ODjQsmVLYmJiAHjhhRf46KOPDB6gEOZGq9Gy5/09/Bj6IzkpOXi38+bp40/TbHizCl3Pq60XHaZ3AGDL81tQF6gNGa6ooOLpr94BvXG2Ne1qUGuVNUGeQQDSENHC1MT6n3sZFTiKtePWUs+5Xonjvs6+Vb4EHiqQAM2dO5dTp06xe/du7OzsdMf79+/PL7/8YtDghDA32cnZ/DTkJ3a/sxu00G5aO6bsn0LthrUrdd0+H/TBwd2BW+dvcfjzw4YJVlRKcfdnU09/FZNCaMuj1Wo5GHsQkASo2KjAUVybdY1dk3axctRKdk3aRfSs6CpPfqACNUC//vorv/zyC126dCkxnNeyZUuioqIMGpwQ5iT+SDyrx6wmPTYdK3srhn4zlLaT2hrk2va17en/UX9+n/o7e97dQ9CjQTj5yNYYpnIn5w7h18MB02x/URZJgCzP5duXSclJwc7KjrZebU0djtlQKVVVttT9fvQeAbp16xYeHh6ljmdlZdXo+U1RfWm1Wo58dYSlPZaSHpuOWxM3njr0lMGSn2JtJ7elXud65Gfms/2V7Qa9ttBPcffnlu4taVC7ganDAe7aEkOmwCxGcf1PR5+OpbaEEKandwLUoUMHNm/erPu6OOn54Ycf6Nq1+jZ5EjVTfmY+6x9fz5bnt6Ap0BA4KpBpR6fh2drT4PcqLohGAWdWnuH63usGv4coH3Ob/gJo7dkapUJJUlZSlfZKERVnift/1SR6T4HNmzePwYMHc/78eQoLC1m0aBHnz5/nwIED7NmzxxgxCmEStyJvsXr0apIjk0t1dTYWn/Y+tH+6Pce/O84fz//BMyee0WtVmai8Qk2hrvuzuUx/AThYO9CsTjMikyOJSIyo0n4pomIkATJvev9m7dGjBydPnqSwsJCgoCC2bduGh4cHBw8epH379saIUYgqd/bnoq7OyZHJOPk4ldnV2Vj6/l9f7N3suXnmJke+OmL0+4mS9sfs507uHerY16GLbxdTh1OCTINZjtTcVM7dOgdU7y0wLJneI0BQtCHq4sWLDR2LECanzlez9aWtHP2yaMPCBn0bMGrlKBw9HassBoc6DvSb349Nz2xi99u7afVIKxy9qu7+Nd2mS0XTX6bu/lyWYK9gVp5ZKYXQFuBQXNH2No3dGuNey93E0Yiy6D0C1LdvX957771Sx+/cuUPfvn0NEpQQppAWm8aynst0yU+PN3owYduEKk1+igVPDcangw956XnseG1Hld+/JjOX7s9lkZVglkOmv8yf3gnQ7t27+fLLLxk5ciRZWVm64/n5+VIDJCzWP7s6P7rxUfr9Xz+UKtPU3yhVSl1B9Kn/niJmf4xJ4qhpLqdc5mLKRayUVgxqPMjU4ZRSPAV29c5VUnNTTRuMuC9dAuQrCZC5qtBv9x07dpCYmEiXLl24du2agUMSoupoNVp2v7e7ZFfnE0/TdJjpt3ep16kewVOL3vD+mPEHmkKNiSOq/oqnv3rV72Xy7s9lcbN3o75LfaBoXzBhngo1hRyOL2poKiNA5qtCCZC3tzd79uwhKCiIjh07snv3bgOHJYTxFXd13vPunqKuzk//1dW5QeW6OhtS//n9sattR9KpJI59e8zU4VR75jz9VUwKoc3f2ZtnyczPxNnWmRbuLUwdjrgHvROg4lUwtra2rFy5klmzZhEaGsrXX39t8OCEMJa4w3F81+47orZGYWVvxcgVIxn+3XCs7Cq0LsBoHOo60Pf/imrr/nzzT7JuZj3gGaKiUnNTCY8xr+7PZZE6IPNXPP3VxbeL2RXSi7/pnQBptSW3sX/zzTf56aef+OSTTwwWlBDGotVqOfLlEZaFLPu7q/Php2gzsY2pQ7un9k+3x7udN3lpeex4XQqijWXrla0UagoJrBtII7dGpg7nniQBMn8H4/7a/0vqf8ya3glQdHQ0devWLXFs9OjRHDp0iKVLlxosMCEMLT8zn/WPrWfLC391dR4dyNPHnsYzyPBdnQ1JqVIy+MvBAJxcdpK4Q3Emjqh6soTpL/h7CizyViQ5BTkmjkaURVaAWQa9E6D69eujVJZ+WqtWrZg0aZJBghLC0G5F3mJxp8Wc/fksSislAz8dyNg1Y7F1tjV1aOXi19WPtpPbAn8VRKulINqQCjWFbLlift2fy1LPqR51Heqi1qo5e/OsqcMR/5CYmcjVO1dRoKCzb2dThyPuo1wFD6NGjWL58uU4OzszatT9t6xfv369QQITwlDOrDrDxmkbKcgqwMnHiTGrx+Df3d/UYemt/4L+RG6IJOFEAicWn6DDsx1MHVK1cTD2ILdzbuNm70ZXP/Pu2qtQKAj2Cmb71e1EJEbQsV5HU4ck7nIwtmj6K8gzyCxXEoq/lWsEyMXFRVf87OLict+HEOaiMK+QP57/g/WPracgq4AGfRvwTMQzFpn8ANTyqEWfD/oAsPONnWQnZ5s4ouqjePprSJMhWCnNqxC+LLo6IFkJZnak/4/lKNdP+rJly8r8sxDmKi0mjTVj1xB/JB6AkH+F0Pu93iZrbGgoHad3JOKHCJJOJ7HzjZ0M/96861UsRXH/n2FNzHv6q5huKbwUQpudA3FFCZC5jySKCvYBEsKcXdl6he/afUf8kXjsatvx6KZH6fthX4tPfgCUVn91iAZO/HCC+KPxJo7I8kXdjiIyORIrpRWhjUNNHU65FI8AnU46jVqjNnE0olheYR7HbhT165ICaPNXrhGg4ODgcu+CfeLEiUoFJERFadQa9n6wlz3vFzU29G7nzdi1Y82qsaEh+Pfwp/UTrTn9v9P8MeMPnjr0FAql8Xepr66KR3961u+Ji51lTOM3qdOEWta1yCrI4mLKRWm2ZyZOJJwgX52Pu4M7jWqbbysFUaRcCdDIkSONHIYQlZOdnM36x9cTtS0KgPbPtCd0YajZNTY0lAEfD+Dibxe5cfQGJ5acoP209qYOyWIV1/9YyvQXgFKhpI1XGw7EHiAiIUISIDNx9/L38g4aCNMp17vDO++8Y+w4hKiwuMNxrBm7hvTYdKzsrRj23TDaPGG+jQ0NwdHLkd7v9Wbri1vZOXcnLUa3wN7N3tRhWZy03DT2XC/axHl4M8uqp2rn1Y4DsQc4kXCCx1s/bupwBH/X/8j0l2Ww/KIIUWNptVoOf3G4dFfnap78FOv0fCc8WnmQk5LDn2/+aepwLNK2qG0UagppVqcZjd0amzocvUghtHnRarXSANHC6J0AqdVq/vOf/9CpUye8vLxwc3Mr8RCiKhR3dQ6bGYamQEOLMS0soquzISmt/u4QfezbYyScSDBxRJbHUro/l+XuLTH+uUWRqHrX066TmJmItdKa9t4yJW0J9E6A3nvvPT799FMeeeQR0tLSmDNnDqNGjUKpVPLuu+/qda2AgAAUCkWpx4wZMwDIzc1lxowZ1KlTB0dHR0aPHk1SUtJ9rzl58uRS1wsNtYyVHaJ8bp2/xeKOf3d1HvTZIMasHmMxXZ0NKaBXAK0ebQXaog7RWo28EZaXWqPmj8t/AJY3/QXQ0qMl1kprUnNTuZ523dTh1HjFoz/tvNthby3T0ZZA7wTop59+YvHixbz00ktYWVnx6KOP8sMPP/D2229z6NAhva519OhREhISdI/t27cDMHbsWABefPFFNm7cyJo1a9izZw83btx4YCdqgNDQ0BLXXbVqlb4vU5ipM6vOsLjTYpIvJOPk48Sk3ZPoMrtLjS44HPifgdg42hB3KI6TK06aOhyLcSjuECk5KdS2q22RUxY2KhtaerQEpCGiOZDpL8ujdwKUmJhIUFAQAI6OjqSlpQEwbNgwNm/erNe13N3d8fLy0j02bdpEo0aN6NWrF2lpaSxZsoRPP/2Uvn370r59e5YtW8aBAwcemGjZ2tqWuG7t2vdfBp2Xl0d6enqJhzAvpbo697Psrs6G5OTjRK93egGw47Ud5NyRDTLLo3j6a3CTwRbR/bkssjO8+ZAEyPLonQD5+vqSkFBUa9CoUSO2bdsGFI3m2NpWfAoiPz+fH3/8kSlTpqBQKDh+/DgFBQX0799fd07z5s3x9/fn4MGD973W7t278fDwoFmzZkyfPp2UlJT7nj9//vwS23n4+flV+HUIw0uLSWN5z+Uc/eooACFvhjBh6wRqedQycWTmo/OsztQNrEv2rWx2vb3L1OFYhOL+P5ZY/1NMEiDzkJmfyamkU4AkQJZE7wTo4YcfZufOnQC88MILvPXWWzRp0oSJEycyZcqUCgfy66+/kpqayuTJk4GikSYbGxtcXV1LnOfp6UliYuI9rxMaGsp///tfdu7cyYIFC9izZw+DBw9Grb53t9S5c+eSlpame8TGxlb4dQjD+mdX58c2P0bfD6pHV2dDUlmrGPJlUYfoY18fI/HkvX9GBETfiebcrXOoFCoGNRpk6nAqTLcSTKbATOpI/BE0Wg3+Lv74OPmYOhxRTnqP+3700Ue6Pz/yyCO6EZkmTZowfHjFP0ktWbKEwYMH4+NTuX8848eP1/05KCiI1q1b06hRI3bv3k2/fv3KfI6trW2lRq+E4WnUGva8v4e9H+wt6urc3ptxa8fhGuBq6tDMVoO+DWg5riXnVp/jj+f/4MnwJ2t0bdT9FE9/hdQPoba95XYKb+PZBgUK4jPiuZV1C/da7qYOqUaS6S/LVOmP0V27dmXOnDmVSn6uX7/Ojh07eOqpp3THvLy8yM/PJzU1tcS5SUlJeHl5lfvaDRs2pG7duly5cqXC8YmqlZ2czcohK9n7flHy0/7Z9kzZN0WSn3IY+MlArGtZE7s/ltP/O23qcMyWpW1+ei9Otk66/kUyDWY6sgO8ZapQ5d+NGzfYt28fN2/eRKPRlPjezJkz9b7esmXL8PDwYOjQobpj7du3x9ramp07dzJ69GgALl68SExMDF27ln+X3bi4OFJSUvD29tY7LlH14g791dU5ruZ0dTYkZ19ner7Vk52v72T7q9tpNqIZdi52pg7LrKTnpbP72m7AMpe//1OwdzCXb18mIiGCgY0GmjqcGkej1XAwrqguVUaALIveCdDy5ct55plnsLGxoU6dOiWG2BUKhd4JkEajYdmyZUyaNAkrq7/DcXFxYerUqcyZMwc3NzecnZ154YUX6Nq1K126dNGd17x5c+bPn8/DDz9MZmYm7733HqNHj8bLy4uoqCheffVVGjduzKBBljvPXxNotVqOfHmEbS9tQ1OgoU7TOoxbNw6PVh6mDs3idH2xKyeXnSTlYgq7391N6GfSB+tu26K2UaApoGmdpjSt09TU4VRasFcwq8+tlhEgE7mQfIHU3FQcrB1o7dna1OEIPeidAL311lu8/fbbzJ07F6Wy8oWoO3bsICYmpswC6s8++wylUsno0aPJy8tj0KBBfP311yXOuXjxom4pvkql4vTp06xYsYLU1FR8fHwYOHAgH3zwgdT4mLG8jDw2TtvIuV/OAdBiTAseWvJQjWxsaAgqGxWDPx/Mj4N+5MgXRwieElyjOmQ/SHWZ/iomK8FMq3j6q1O9TlirrE0cjdCH3glQdnY248ePN0jyAzBw4MB7tnG3s7Pjq6++4quvvrrn8+9+rr29PVu3bjVIXMLwNGoNMeExZCRk4OTthH+IP8kXklkzZg3JF5JRWikZ8J8BdJ7ZWYp3K6nRwEYEjgokcn0kW57fwqTdk+TvlKLuz5svF/Urqw7TX/D3SrBLKZfIyMvAydbJxBHVLFL/Y7n0ToCmTp3KmjVreP31140Rj6imItdHEjYrjPS4v5tM2rvZk5+ZjzpfjVM9J8auHotfN+nBZCiDPhvE5S2Xub73OmdXnSXosSBTh2RyR+KPkJydjKudK939ups6HIPwqOVBPad6xGfEcyrpFD38e5g6pBpF6n8sl94J0Pz58xk2bBhhYWEEBQVhbV1yyO/TTz81WHCieohcH8nqMavhHwN9ObeLOhZ7BHkwccdEaWxoYC7+LoT8K4Rdb+5i28vbaDqsaY2fVixe/h7aOLRaTVcEewcTnxFPREKEJEBVKCU7hQvJFwDo4tvlAWcLc1OhBGjr1q00a9YMoFQRtBB306g1hM0KK5X83C33Ti72dWTzQGPo9nI3Ti0/xe0rt9nz/h4G/qdmrxKy5N3f7yfYK5hNlzZJHVAVOxRXtC1T87rNqeNQx8TRCH3pnQB98sknLF26VNexWYj7iQmPKTHtVZb0uHRiwmMI6B1QNUHVIFa2VoR+HsrKISs5vOgwwVOCcW9RM5vlXUu9xtmbZ1EpVIQ2rl4r46QQ2jSk/sey6V3JbGtrS/fu1WPuXBhfRkKGQc8T+msyuAnNRjRDU6jhj+f/uOeig+quePVXd//uuNm7mSQGjVrDtd3XOLPqDNd2X0Oj1jz4SeVQXAh97uY58tX5BrmmeLADcdIB2pLpnQDNmjWLL774whixiGrIybt8K1LKe56omNCFoVjZWXFt1zXOrT5n6nBMwtTTX5HrI1kUsIgVfVaw/rH1rOizgkUBi4hcH1npa9d3qU9tu9oUaAo4d7Nm/v+tagXqAo7EHwGgq1/5m/MK86F3AnTkyBFWrFhBw4YNGT58OKNGjSrxEOJu/iH+OPs63/sEBTj7OeMf4l91QdVArgGu9JhbVBy77aVt5GfWrFGCjLwMXffnYU2rvv9P8UKAf04Hp8ens3rM6konQQqFgrZebQGZBqsqp5NOk12QjaudK83rNjd1OKIC9E6AXF1dGTVqFL169aJu3bq4uLiUeAhxN6VKycBP71F4+1fNfOjCUNndvQp0f7U7tRvWJiM+g70f7jV1OFVq+9Xt5KvzaezWmGZ1mlXpve+7EOCvY2Gzwyo9HaarA5Kd4atEcf1PV9+uKBXy+8sS6VUEXVhYSJ8+fRg4cKBeG5KKmq0wtxAAhVKBVvP3u4CzrzOhC0MJHBVoqtBqFCs7K0IXhbJq+CoOfnqQtk+2pW6zuqYOq0oU1/8Mbzq8ylerPnAhgBbSYyu/EKC4DkhGgKqG1P9YPr0SICsrK5599lkiIys/Zy1qBo1aQ/iH4QD0+aAPft38SnSClpGfqtV0WFOaDG3C5c2X2fLCFiZsnVDt21dotBpd92dTTH9V1UKA4hGgU0mn0Gg1MiphZLoVYJIAWSy9f0I6depERIR8whDlc271OVIupWDvZk+nFzoR0DuAoEeDCOgdIMmPiYQuCkVlq+Lq9qsGKcA1d0fij3Az6ybOts6E+IdU+f2raiFAs7rNsLOyIzM/kyu3r1TqWuL+4tLjiEmLQalQ0qleJ1OHIypI73eg5557jpdeeokvv/ySgwcPcvr06RIPIYppNVr2flBUa9LlxS7YOtXsLsTmwq2RG91fLWplsfXFreRnVe+C6OLpL1N1f/Zo7YGV3f0H2+3r2ld6IYCV0oo2nm0AOJFwolLXEvd3MLZo+4s2nm1wtHE0cTSiovROgMaPH090dDQzZ86ke/futG3bluDgYN1/hSh2ft15kiOTsXWxpdML8inJnPR4vQcu9V1Ij00nfF64qcMxKlMuf0+5lMLSbkt1dXD3kpOcw9Gvj1b6flIIXTVk/6/qQe8EKDo6utTj6tWruv8KAf8Y/ZndBTsXOxNHJO5m7WBN6MKibsgH/3OQlMspJo7IOK6nXud00mmUCiWDGw+u0ntfCbvC4k6LSbmYgrOvM/0/7l+qJYSzrzMNBjQAIGxmGFtf2lpioYC+pBC6akj9T/Wg91YY9evXN0Ycopq58NsFbp65ia2zLZ1ndTZ1OKIMzUY0o3FoY66EXSFsZhiP/fFYtSuILi5+7ubXrcr2atJqtRz89CA7Xt2BVqPFr5sf49aNw9HLka5zuhITHlNiIYBCqWD/gv3snLuTQ58eIu16Gg//72Gs7fWfrrt7SwytVlvt/n+ag5yCHN0UoyRAlq1CVahRUVG88MIL9O/fn/79+zNz5kyioqIMHZuwUFqtlr3vF43+dJrZCfvastGpOVIoFIR+HorKRsWVsCtc/P2iqUMyuKqe/irMLeTXSb+y/eXtaDVagqcGM/HPiTh6FdWJKFXKUgsBFAoFPV7vwaifRqGyURG5LpL/9vsvWbey9L5/kGcQKoWK5Oxk4jPiDf3yBHA84TgFmgK8Hb2p7yIDApZM7wRo69attGjRgiNHjtC6dWtat27N4cOHadmyJdu3bzdGjMLCXNp0icSTidg42tBldhdThyPuo06TOnR9uaiN/9bZWynIKTBxRIaTmZ/Jn9F/AlWTAGXcyGB5r+Wc/t9pFKqi5HL44uFY2ZZvoD3osSAmbJuAnasdcQfjWNptKbev3NYrBjsrOwLdi/pqSR2QcegaIPp1lRE2C6d3AvT666/z4osvcvjwYT799FM+/fRTDh8+zOzZs3nttdeMEaOwIHeP/nR8viMOdRxMHJF4kJA3QnD2cyb1Wir7Ptpn6nAMZsfVHeSr82lYu6HRtyqIPxLP9x2+J/5IPHa17ZiwdQKdX+is9xtkQK8AphyYgmuAK7ev3OaHLj8QeyBWr2vIzvDGJTvAVx96J0CRkZFMnTq11PEpU6Zw/vx5gwQlLNeVsCvcOHYDawdrus6RDQItgU0tGwZ9NgiA/Qv2cztKv1EHc7Xx4t/TX8b8pH7qf6dY1nMZmQmZuLdwZ9rRaTTs17DC13MPdGfqwan4dPAhJyWHFX1XcH5d+X+3SgJkPFqtVgqgqxG9EyB3d3dOnjxZ6vjJkyfx8PAwREzCQmm1Wva8tweADs91oJZ7LRNHJMorcFQgDfs3RJ2nZuvsraYOp9KqovuzRq1h28vb+HXir6jz1DR7qBlTD07FrZFbpa/t6OXIpN2TaDq8Keo8NWvGruHgZwfRah+8Qky3EkymwAwu6k4Ut7JvYaOyoZ13O1OHIypJ7wRo2rRpPP300yxYsIDw8HDCw8P56KOPeOaZZ5g2bZoxYhQW4uqOq8QfjsfKzopuL8unI0uiUCgY/MVglNZKLm26xKVNl0wdUqUcu3GMpKwknG2d6Vm/p8Gvn5uay6phqzj4SVE/mJA3Q3hkwyPYOhuu2adNLRse2fAIHZ7rAFrYNmcbYbMevGlq8a7w19OuczuneozmmYvi0Z8OPh2wtarY/2uNWsO13dc4s+oM13Zfq/QmuKLi9F4G/9Zbb+Hk5MQnn3zC3LlzAfDx8eHdd99l5syZBg9QWIa7R3/aP9seR0/pjmpp6javS5cXu3Dg4wOEzQqjYf+GD+xgbK6Kp78GNRqEjcrGoNdOvpjMzw/9TMqlFKzsrRi5fCQtx7U06D2KKVVKhnw5hNoNarP9le0c+eIIaTFpjF45GmuHspfJu9q50sC1AdGp0ZxMPEnfBn2NEltNVNn6n8j1kYTNCiuxOa6zrzOhi2RTaFPQewRIoVDw4osvEhcXR1paGmlpacTFxTFr1iypiK/Bru2+Ruz+WFS2Krq/0t3U4YgK6vVWL5zqOXHn6h32f7zf1OFU2KbLRdtfGHr66/Ifl/mh0w+kXErB2c+ZKfunGC35KaZQKOj2cjfGrB6DylbFxd8usrz3cjKTMu/5HJkGM47K1P9Ero9k9ZjVJZIfgPT4dFaPWV0j9uUzN5XajdLJyQknp8pt4Ceqh+KVX+2mtcPJR/5NWCobRxsGfjIQgH3z93En+o6JI9JfbFosJxNPolQoGdJkiEGuqdVq2f/xflYOW0leeh7+PfyZdnQa3sHeBrl+ebQc25KJOydiX8eeG0dvsKTrEpIvJpd5bjuvovoUKYQ2nLTcNM7ePAsULYHXh0atIWxWGJRVwvXXsbDZD57eFIaldwKUlJTEE088gY+PD1ZWVqhUqhIPUfNc33uda7uvobJR0eO1HqYOR1RSy3EtadC3AYW5hWybs83U4eitePPTrr5dqetQt9LXK8gpYMMTG9jx2g7QFiX5E3dONMk0r393f6YemErthrVJjU5lSdclXA+/Xuq84hEg2RTVcI7EH0GLloa1G+Ll6KXXc2PCY0qN/JSghfTYdGLCYyoZpdCH3hP8kydPJiYmhrfeegtvb2+Z9hLseb+o9qftlLal9joSlqe4IPrbNt9y4dcLXAm7QuPQxqYOq9wMOf2VHp/OLyN/4caxG0XNDReF0vG5jib9vVenaR2mHprKquGriD8cz//6/4+R/x1Jq0da6c4pXgp/MeUi2QXZOFhLP67Kqsz0V0ZChkHPE4ahdwK0b98+wsPDadu2rRHCEZYmZn8M0TujUVop6fG6jP5UF+4t3Ok8qzMHPznIlhe2MP3s9HJ3NDalrPwsdl7dCVS++3PcoTh+efgXMhMzsXezZ+yasTTo28AQYVZaLfdaTPpzEusnrOfChgusG7+O1GupdH+1OwqFAm8nbzxreZKUlcTppNN08ZWO7JV1IK4KGiBWfB9cUQF6T4H5+fmVqxeFqBmKd3xvM7kNrvVdTRuMMKhe7/TC0duR21du65Z7m7ud0TvJU+cR4BpAC/cWFb7OyRUnWd5rOZmJmXi08mDa0Wlmk/wUs3awZuyasXSeXbTZ8M7Xd7L5uc1oCovqSKQQ2nDUGjWH4g4B+tX/qAvU7P/3fn6b8lu5zt8waQNbZm2p0D5wQn96J0ALFy7k9ddf59q1a0YIR1iSuMNxRG2NQqFSEDI3xNThCAOzdbJl4H+KCqL3friXtJg0E0f0YJXt/qwp1LB1zlZ+m/wb6nw1zUc2Z8qBKdRuWNvQoRqEUqUk9LNQBi0cBAo4/u1xfh7xM/mZ+dIR2oDO3zpPel46jjaOtPJo9eAnULQ9yuKOi9nx6g7UuWrcW7qDgqLH3f465tnWE22hliOfH+HzRp+z98O95GflG/qliLvonQA98sgj7N69m0aNGuHk5ISbm1uJh6g5dKM/T7Qx2zcIUTmtHm1F/Z71KcwpZOsc8+4QrdFqdPU/FZn+yrmTw09DfuLQZ0Wf9Hu+3ZNx68Zh62S45obG0mVWF8atG4eVnRWX/7jM8l7LaaUqeqOWBKjyiut/OtfrjJXy/lPBeel5bJm5hR+6/EDSqSTs3ex5aOlDTD8znXFrx+Fcr2SdpLOvM+PWjuPZiGd5YscTeLfzJj8jn11v7eKLxl9w7LtjulE9YVh6T+ovXLjQCGEIS3Pj+A0ub76MQqkg5F8y+lNdKRQKBn85mO+CvyNyXSRR26NoNKCRqcMq04mEEyRmJuJo46h39+dbkbf4+aGfuX3lNtYO1oxcMZIWYyo+hWYKgQ8HMmnXJFYNX0XCiQQcnnDA/SF3zqjOUKAuwFpVduNE8WC6+p8HFEBf+PUCfzz/BxnxRcXMrZ9ozcBPBuq2BQocFUizEc2ICY8hIyEDJ28n/EP8UaqKxiIa9mvItKPTOLf6HDvf2ElqdCqbn93Moc8O0W9+P5qPbC4LjwxI7wRo0qRJxohDWJji0Z+gx4Nwaywjf9WZZ5AnnZ7vxOFFh4sKok9PR2Vjfi0v7u7+rM82BZc2XWLdY+vIz8jHxd+F8b+Nx6utfsuczYVvF1+mHprKT4N/4vbl20xdOpWfH/mZC8kXCPIMMnV4FutBK8DS49L54/k/uPjbRQBqN6rNsG+H0bB/6U1xlSolAb0D7nkvhVJBq/GtCBwVyLFvj7H3g72kXExh9ajV+Hb1ZcDHA/Dv4V/5FyXKNwWWlaVfQVZ5zw8ICEChUJR6zJgxA4Dc3FxmzJhBnTp1cHR0ZPTo0SQlJd33mlqtlrfffhtvb2/s7e3p378/ly9f1it+cX+JJxOLftAVyOhPDdH7vd7U8qxFysUUDn5mngXRGy/9Xf9THlqtln0f7WPVQ6vIz8infs/6TDs2zWKTn2JujdyYenAqft39sMu144n/PUH4knBTh2Wxbmbd5MrtKwClVtNp1BoOf36YrwK/4uJvF4tWw77Rg+lnppeZ/OhDZaOi88zOzIyaScibIVg7WBN3MI5lIcv4ecTP3Dp/q1LXF+VMgBo3bsxHH31EQkLCPc/RarVs376dwYMH8/nnn5fr5kePHiUhIUH32L59OwBjx44F4MUXX2Tjxo2sWbOGPXv2cOPGDUaNGnXfa3788cd8/vnnfPvttxw+fJhatWoxaNAgcnNzyxWTeLC9HxaN/rQa34q6zSrfaE6YPzsXOwZ8PAAoGv27b1M3E4hPjyciMQIFCgY3GfzA8wuyC1j/+Hp2zt0J2qL9657Y/oRuqsLSOdRxYOKOieT1yEOlUXHrX7fY++FeWcFbAQdjixL+lu4tcbVz1R1PPJnIkq5LCJsVRn5mPn7d/Hgm4hn6/V8/rO0NN91o62xL3w/68sKVF2j/THsUKgUXf7/IN0Hf8PtTv5Meb14/i5ZEoS3HT8TFixd544032Lx5M23atKFDhw74+PhgZ2fHnTt3OH/+PAcPHsTKyoq5c+fyzDPPVKgr9OzZs9m0aROXL18mPT0dd3d3Vq5cyZgxYwC4cOECgYGBHDx4kC5dSve10Gq1+Pj48NJLL/Hyyy8DkJaWhqenJ8uXL2f8+PHliiM9PR0XFxfS0tJwdpbGfne7efYm3wR9AwqYfmY6Hi09TB2SqCJarZZlIcuI3R9Ly0daMubnMaYOSee7Y9/x7OZn6erblQNTD9z33PS4dH4e+TMJxxNQWikJ/TyUjtM7VlGkVWvZiWWsemEV3Q8U7c8XPDWYod8MRWVtflOY5uq17a/x8YGPmdZuGt8P/578rHx2v7ubQ58dQqvWYutiS/+P+tP+6fYolMavz0m+kMzON3ZyYcMFAKzsregyuwvdX+2Onaud0e9v7vR5/y7XCFCzZs1Yt24dly5dYty4ccTHx7N27VoWL17M7t27qVevHosXL+batWs899xzFUp+8vPz+fHHH5kyZQoKhYLjx49TUFBA//79dec0b94cf39/Dh4sewg+OjqaxMTEEs9xcXGhc+fO93wOQF5eHunp6SUeomzFoz8txrSQ5KeGUSgUDPlqCAqlgnO/nCN6V7SpQ9Ipb/fn2AOxfN/hexKOJ2Bfx54ndjxRbZMfgHY+7dg+cDs7H9qJQqkgYkkEq4avIi89z9ShWYy7C6Avb7nM1y2/5uB/DqJVa2k5riUzImfQ4dkOVZL8ANRtXpdH1j/ClP1T8OvuR2FOIfvm7+PzRp9z8LODFOYVVkkc1YFey+D9/f156aWX+PXXX4mIiODChQvs27ePL774gmHDhlVqL7Bff/2V1NRUJk+eDEBiYiI2Nja4urqWOM/T05PExMQyr1F83NPTs9zPAZg/fz4uLi66h5+fX4VfR3V2K/IW51afA6Dnm/qtshHVg1cbLzo81wGALc9vQV2gNnFEkF2QzY6rO4D71/9ELI1gRZ8VZCVl4dnak6ePPU1Ar4AqitI0Wri3wEZlQ3i7cHr92AtrB2uitkaxLGSZTJ2UQ746n2M3juGY4Yj2PS0rh6wk7XoaLvVdeGzzY4z5ZQxO3qbZ/Nmvmx9Phj/J+N/GUzewLjm3c9g2ZxtfNvuS0z+eRquR6c4HqdRu8Ia0ZMkSBg8ejI+PT5Xfe+7cuaSlpekesbGxVR6DJQj/v3DQQvOHm+PZ2vPBT/gHtUbN7mu7WXVmFbuv7UatMf2bp9Bf3w/64uDuwK3ztzj8+WFTh8POqzvJLcylvkv9MpvUaQo1bJm1hd+n/o46X03g6ECm7J+Ca4Br1QdbxaxV1gR5FK3+utXmFpP3TKaWZy2STiexpMsSkk7ff1FJTRdxI4KWh1rywlcvEPNrDAqlgq4vdeW5c8/RZEgTU4eHQqGg2UPNmH56OsN/GI6TjxNp19PY8MQGvm//PVHbokwdolkziwTo+vXr7Nixg6eeekp3zMvLi/z8fFJTU0ucm5SUhJdX2as0io//c6XY/Z4DYGtri7Ozc4mHKCnlUgpnV50FoOdb+o/+rI9cT8CiAPqs6MNj6x+jz4o+BCwKYH3kekOHKozMztWO/guKppn3vLuHjBum3cCxePf3YU2HleqRknM7h58G/8SRz48A0OvdXoxdPRYbR5sqj9NUdB2hEyLw6eDDU4eeom5gXdLj0lnaYylR2+VNsiw3z91k+7DtDN80HNtcW3w6+DDt2DQG/mcgNrXM69+P0kpJu6nteOHyC/Sd1xdbZ1sSTyby46Af+d+A/3Hj+A1Th2iWzCIBWrZsGR4eHgwdOlR3rH379lhbW7Nz507dsYsXLxITE0PXrmXvxdKgQQO8vLxKPCc9PZ3Dhw/f8zmifMLnhaPVaGk6vCnewd56PXd95HrGrB5DXHpciePx6fGMWT1GkiAL1HZSW+p1rkd+Zj7bX9lusji0Wu09uz/fPHeTxZ0Wc3XHVaxrWTNu3Th6v9O7ymo1zIVuT7C/OkK7BrgyZf8U6veqT35GPiuHrCRimXSLLlaQU8Cfb/7Jd8HfoT6tJs8mD9ULKqYemqr3776qZu1gTcjcEGZGzaTLi11Q2ai4uuMqizssZt1j67hz9Y6pQzQrJk+ANBoNy5YtY9KkSVhZ/d2X0cXFhalTpzJnzhx27drF8ePHefLJJ+natWuJFWDNmzdnw4YNQNFw4OzZs/nwww/5/fffOXPmDBMnTsTHx4eRI0dW9UurNm5H3eb0j6cB/Ud/1Bo1s8JmoS1jm+PiY7PDZst0mIVRKIsKolHAmZVnuLbnmkniOJFwghsZN6hlXYveAb11xy/+fpElXZZwJ+oOrgGuTD0wlcBRgSaJ0dTK2hPMvrY9E7ZOIOixIDSFGn6f8ju73tlV45fJX915lW9bf0v4/4WjKdBwreU1vprxFSFzQnTdmi2BQ10HBn06iOcvPk/Q40VToGdXneXL5l/KZqt30bsTtKHt2LGDmJgYpkyZUup7n332GUqlktGjR5OXl8egQYP4+uuvS5xz8eJF0tL+3qTx1VdfJSsri6effprU1FR69OhBWFgYdnayPLCiwueFo1VraTy4MfU61tPrub9e+LXUyM/dtGiJTY+l3qf1aOTWiHpO9fBx8vn7v85/f13Lpnr0aKkufNr70P6Z9hz/9jhbnt/C0yeervLl1cXTXwMbDcTWyhatVkv4vHB2vbULtBDQO4Cxa8biUNehSuMyJ609W6NAQWJmIomZiXg5FpUDWNla8fD/HsYlwIV98/ax9/29pF1LY/ji4WbZ6duYsm5lsf3l7Zz67ykAnHyc6LigIz2v9ESlVNGxnmWuFHQNcGXUj6Po+lJXdr6+k6htURz5/Agnl52k+2vd6TK7i9lN51WlcvUBultYWBiOjo706NEDgK+++orFixfTokULvvrqK2rXtvxNMaUP0N/uRN/hy6ZfoinUMOXAFPy63n+FnFar5WTiSTZe2sjGSxs5duOYwWJxsXUplRT9M1nycvR64GaFwnBybufwRdMvyEnJYdBng+gyu3R/LmPq8H0HjiccZ+lDS5nQbAK/TfmNc78UrVTs8FwHQheGSs8bIPCrQC4kX+CPx/4os1Hk8cXH2Tx9M1q1lgZ9GzBu3bga0VNGq9VyasUptr28jZyUHFBAxxkd6fd//dgQs4FH1z1KB58OHJ121NShGsTVHVfZ/up2EiOKVkU7ejvS+93eBE8JRmllOSNc96PP+7fe7xSvvPIKCxYsAODMmTO89NJLummqOXPmsGzZsopFLczSvo/2oSnU0HBAw3smPzkFOfwZ/ScbL21k06VNxGfE632fLwd/iaejJzcybhCfHs+NzL/+m3GD+Ix4MvMzSctLIy0vjcjkyHteR4ECT0fPMpOju/9c2662STYVVGvUhMeEk5CRgLeTNyH+IaiUlvsGbe9mT7/5/dj09CZ2v7ObVuNb4ejlWCX3vpFxg+MJx1GgIMQuhKU9lpIYkYjSSsmQr4bQ/un2VRKHJQj2CuZC8gUiEiPKTIDaT2uPs68za8etJfrPaJb2WMrjfzyOi7+LCaKtGimXUtj07Cau7boGgGdrT4Z9Pwzfzr7AXft/+d5/A1RL0rB/Q54+9jRnfznLn//6k9ToVDY9s4mDnx6skZut6p0ARUdH06JF0S7J69atY9iwYcybN48TJ04wZMgQgwcoTCctJo2Ty04C0OvtXiW+l5CRwObLm9l4aSM7ru4guyBb9z0HawcGNBzAsKbDCG0UStelXYlPjy+zDkiBAl9nX57t8Ox9E4H0vPS/k6O/kqLi/xYfS8hMoFBTqBvqP55w/J7Xs7Oyw8fJp9RI0j9Hl+yt7fX8W7u39ZHrmRU2q8SUoK+zL4tCFzEq8P5bvJizdlPbcWLxCW4cvcGO13YwcsXIKrnv5kubARiUPYhfe/9K1s0sHOo6MG7dOOr3rF8lMViKYK9gVp1dVaIO6J+aDG7C5L2TWTl0JbfO3eKHLj/w2ObHzL7wV1+FeYXs/3g/4f8XjjpPjZW9Fb3f7V1UNHzXaOGDNkC1VAqlgqBHg8rcbNWvmx/9P+6Pf/easdmq3lNgbm5u7Nu3jxYtWtCjRw8mTpzI008/zbVr12jRogXZ2dkPvoiZkymwIptnbObY18cI6BPAxJ0T7zu15evsy7AmwxjebDh9AvqUSByKV4EBJZIgBUWfNNaOW2uQBECj1XAr69bfydFdydLdx1JyUsp9zdp2tUtNu/2zPsmzlucDR3GK/w7+mQQa+u/AVOKPxvND5x9AC0/ue7JKfoE+tOoh4lfF89CWh6AQPNt4Mv638bjWdzX6vS3Njqs7GPC/ATSq3YgrM6/c99y0mDR+GvITt87dwsbRhjGrx9BksOl73hjC9fDrbHpmE8mRyQA0GtSIod8MpXaDkqUbWflZuHzkglqrJmZ2DH4u1bc5bm5aLgf+fYCDnx6kMKeoi3Szh5rR76N+uAe6mzg6/enz/q13AvTQQw+Rn59P9+7d+eCDD4iOjqZevXps27aN559/nkuXLlUqeHMgCRCkx6fzecPPUeerSZmXwga7DaWKmTv6dGR40+EMazqMtl5t7zt0Wtboh5+zHwtDF1b5G39uYS4JGQklR5LS40uNKuUU5pTrekqFEi9Hr79HkBxLJkyetTwZvHIwNzLK7sVRPAoWPSvaoqfDNj69kROLT+DZpqjLsjFrCjKzM3ms32O0P1Q0zdVibAtGLBtRows67yclO4W6/y7auDj1tVRc7O4/tZWblsvq0auJ3hmNQqVg6NdDLXpKMedODttf3U7ED0UjYLU8ahG6KJSWj7Qs8/fW7mu76bOiD77OvsS+WDMa42bcyGD3e7uJWBKBVq1FoVTQdkpber/bG+d6lvM+aNQEKCYmhueee47Y2FhmzpzJ1KlTgaKd29Vqdbl3gjdnNTkBKp7aivhXBB5hHlyrf43lTy4HwN7KngGNBjC86XCGNhmKt5N+Q+OWVP+i1WpJy0srPZL0j/qkxMxE1FrDLOHfNWlXiaXcliY7OZsvm31Jzu0cBn8xmE7PdzLOfVKy+Xbot2QcLmrA2Pv93vR8s2eNql2oCP/P/IlNj2XP5D30rP/gdhbqfDUbn97IqRVFK6N6zO1B3w/7WlQfJa1Wy9mfz7J19laybhYt/W43rR39F/THvva9p7fnh8/njT/fYFzLcfwy5peqCtcsJF9IZufcnVz49R+brb7WHTsX8y+MN2oRtL+/P5s2bSp1/LPPPtP3UsIMlLVqyzHDkVk7ZgFwfvB5nm3/bJlTW/pSKVUW8wavUChwtXPF1c6VFu4t7nmeWqPmZtbNe44k3ci4QfSdaLIKHtx3IyEjwZAvoco51HWg7//1ZfP0zfz55p+0HNeSWh6GbV1w8+xNVj20iozoDPJs8sh5JYdeb/V68BMF7bzbEZseS0RCRLkSIJWNihHLRuAa4Mqe9/awb/4+Uq+lMmLZCKxszX+l5Z3oO2yevpmorUWdrusG1mXYd8OoH/Lg+jDdBqjVqAC6vOo2r8sjGx4h9kAs21/dTuz+WPbN38fx74/T882edJjewSL+/5dHhV5FVFQUy5YtIyoqikWLFuHh4cGWLVvw9/enZcuWho5RGFhOQQ67ru1i48WNbLq8qdTU1qjTo7AutKZ2h9oc/OogSmX1WB5pDCqlCm8n7/uOhhUPpz+IviNq5qjdtKKC6IQTCex4fQcjlo4w2LUv/HqBDU9sID8zn3S3dH585EeWT1pusOtXd8Fewfx28bf7FkL/k0KhoPe7vXGp78KmpzdxdtVZMm5k8MiGR+47gmJK6gI1hz47xO53d1OYU4jKVkXIv0Lo/mr3cr1xa7XaalsArY/izVYv/n6Rna/vJPlCMltf3MrhRYfp82Efgh4NsqjRwLLo/c62Z88egoKCOHz4MOvXryczMxOAU6dO8c477xg8QGEYCRkJ/HDiB0b8PIK6/67L0JVD+fb4t8Slx2FvZc9DzR5i8fDFRD0RRdN9TQEY8uEQSX4MIMQ/BF9nX13Bc1n8nP0I8Q+pwqiMQ6lSMvjLomXWJ5edJPZg5esntFotez7Ywy8P/0J+Zj51e9Tlm6e+IdM3kz4NHpxYiiLFW2KcSDih/3OfDObxLY9j42TD9T3XWdptKXeizW9bhbjDcSzusJgdr+2gMKeQgD4BTD89nV5v9Sr3qMWllEvczrmNnZUdbbzaGDli86ZQKGg+ojnTz0xn+OKizVZTr6WyYUL12GxV73e3119/nQ8//JDt27djY/N3wWHfvn05dOiQQYMTFafVaolIiOCDPR/QaXEnfD71YdrGafx+8XeyC7Kp51SPZ9s/y+bHNpPyagq/jf+Np9o9RdR3URTmFFKvUz0aDWxk6pdRLaiUKhaFLgK4ZxLUyqNVtalh8evqR9sn2wKw5fktaNSaCl8rPyuftePWsvvt3QB0eqETKe+mkOOQw4CGA7CzMv+aBHNRvCXG+VvnyS3M1fv5Dfs3ZMr+KTj7OpN8IZklXZZw45h5bLKZl57HH8//wZKuRTvc27vZM2LZCCbunEidpnX0ulbx6E9Hn47YqKSoHv7abPWpe2+2mnDCMqfv9U6Azpw5w8MPP1zquIeHB8nJyQYJSlRMbmEuf1z+g+mbpuO/0J9237fj7d1vc/RGURfTjj4deb/3+5x4+gSxL8byzbBvGNJkiK6uJzs5m6NfFZ3b820pKjWkUYGjWDtuLfWcS24l4mrnCsCWK1uYsH4C+ep8E0RneP0/6o+dqx0JJxI4sVj/EQeA1OupLO2+lPNrz6O0VjJ88XAGfz6YTVfL3vxU3J+vsy917Oug1qo5e/Nsha7hGeTJ1ENT8WzjSdbNLJb3Ws7FjRcNHGn5abVaItdH8lXgV0W/u7TQZmIbZlyYQdvJ91+Zei8y/XVvd2+22nl2Z5TWSq7uuMr37b8v2mzVDEcF70fvGiBXV1cSEhJo0KBBieMRERHUq6ffPlGi8hIzE9l0aRObLm1i+9XtJRoS6rtq6+BnBynIKsC7nTdNhlSPvh/mZFTgKEY0G1FqJdzqc6uZ+OtEVp1dRUpOCuvGrcPRpmq6KRtLLY9a9PmgD1te2MLON3bSYkwLvfbjuh5+ndWjV5N9K5taHrUYt24c/j38SchI0CX0Q5sONVb41ZJCoSDYO5gdV3cQkRBBB58OFbqOcz1nntz7JGvGrSFqaxS/jPyF0M9D6TTDOKv+7iUtNo0tz2/h4u9FCZhbYzeGfjuUhv0aVuq6ugJoSYDuyaGuA6GfhdJ5Zmd2vbWLMz+d4eyqs5xfe56Oz3Uk5F8h1HI3/70b9U6Axo8fz2uvvcaaNWtQKBRoNBr279/Pyy+/zMSJE40Ro7iLVqvlVNIpNl4sWrVV/GZQrJ5TPYY3Ha73qq2c2zkc+eIIIKM/xlTWSrhHgx7Fzd6N0atHsy1qG/3+24/Nj22mrkNd0wRpIB2e7cCJH06QdCqJnW/sZPj35RuxOfbdsaKps0INXsFejP91vG5Lhj8u/wEUjWYWb+opyi/Y668ESI9C6LLYOtvy6MZH2Tx9MxFLItjy/BZSr6UyYMEAoxfGatQajnx5hF1v7iI/Mx+llZLur3Un5F8hWNtbV+rad3LucP7WeQC6+nY1RLjVWu0GtUtttnp40WEilkZYxGareidA8+bNY8aMGfj5+aFWq2nRogVqtZrHHnuMN9980xgx1ni5hblFe23dY9VWR5+ODGs6jOFNhz+wIeG9HFp0iPyMfDzbeNLsoWaGCl2U06DGg9g5cSdDVw7lSPwReiztwbYntuHvYrkt6Yv35FrWYxknfjhBu2ntqNfx3qPE6gI1YbPCOPZNUZfxlo+0ZMTSEVg7/P2mtvHSRkCmvyqquA6osgkQgMpaxfDFw3Ft4MquN3dx8D8HSbuexsP/fRgrO+Msk06ISGDjtI0kHC+qOfHr5sew74fh0dLDINc/FFdUx9rErQnutSyvC7KpeAd7M2HrhBKbre56cxdHvzpK7/d6E/xkyc1WNWoNMeExZCRk4OTthH+IP0pV1S+40bsRYrHY2FjOnDlDZmYmwcHBNGlSfaZMjNUIUZ9GgImZiWy+VLTXVmWnth4kNzWXhQELyUvLY+zasbQYfe++N8K4Im9FMujHQcSmx+Lr7MvWCVvv24fIEvw66VdO/fcUPh19eOrQU2WOEGQnZ7Nm7Bqu7b4GCuj7YV96zO1RIpnPLcylzsd1yC7IJuKZCNp6ta26F1FNXEi+QOBXgThYO5D+errBGpGe/vE0v035DU2BBr/ufoz/bTwOdco/5fkg+Zn57HpnF4cXHkar0WLrYkv/Bf1pP629QUec3vrzLT4M/5BJbSaxfORyg123JtFqippP/vmvP0m9lgoU9RbqN78fzUY048KGC4TNCiM9Ll33HGdfZ0IXhRI4KrDS9zdqJ+j333+fl19+GQeHkv+4c3Jy+Pe//83bb7+tf8RmxhgJ0IM2wjTW1FZ57Hl/D7vf2Y17S3emn55u8b0dLF1sWiyDfhxEZHIkbvZubH5sM118u5g6rArLTMrky6Zfkpeex9Bvh1K3Wd0Sn/xunbvFzyN+JvVaKjaONoxaOYpmw0uPQm65vIUhK4fg6+xLzOwYmaatALVGjfNHzmQXZHP+ufMEulf+DadY9K5ofnn4F/LS8nBr4sbjWx7HrZFbpa97afMl/njuD9Ji0gBoOa4lgxYOwsnbqdLX/qd+/+3Hn9F/8t2w73i6/dMGv35NUphXqNtsNSelaFuhOs3qkHKxjL0Y//pRHrd2XKWTIKMmQCqVioSEBDw8Sg45pqSk4OHhgVptmG0BTMnQCdD9NsLUomVQo0Gcv3We2PSSPVMMMbX1IHnpeSysv5Dc1FxG/zyaVo+0Mvg9hP5SslMYunIoh+MP42DtwLpx6whtHGrqsCrs0KJDbJ29tWjd6V2r4u3r2JOfmY86T03tRrUZ/9v4e05nPLf5Ob459g3Ptn+Wb4Z9UzWBV0PdlnTjYNxBfhr1E48FPWbQa988d5OVQ1aSFpOGQ10HHt34KL5dfCt0rYyEDMJmhXF+TVFNjkt9F4Z+PdRoCzQKNYW4fuRKVkEWZ6afoZWH/C40hOLNVg98cgB17n3yA0XRSNCs6FmVmg7T5/1b77totdoy34hPnTqFm1vls/3qRq1RMytsVqnkB/7eGX1r1FZi02NLNCS8MecGR6Yd4e1ebxPsHWy0T7tHvjxCbmoudZvXpcUYy55qqU7qONRh58SdhDYOJbsgm+GrhvPT6Z9MHVaFOfn89Wn9Hy2BclJyUOep8WztybQj0+6Z/Gi1WjZdKlr+PqzpMGOGWu3p6oASKl8H9E8eLT2Yemgq3u28yU7OZkWfFURuiNTrGlqNlmPfHuOrwK84v+Y8CpWCri935blzzxl1derZm2fJKsjC2dbZ4qedzYmdix19P+zLqP89YNNrLaTHphMTHlM1gaFHEXTt2rVRKBQoFAqaNm1a4g1ZrVaTmZnJs88+a5QgLVl4THipouWyzOs7j9ldZht0autB8jLyOPjJQQBC3gwxSRGauLdaNrX4ffzvPPnbk/x05icmbJhAcnYys7rMMnVoetGoNWybs+2+5+TczsHWxfae3z+ddFr3IaFvg76GDrFGKe4IbYhC6LI4eTsxec9k1o5fy+XNl1k9ejWDPh1El9kPnsa9efYmm57ZROyBotFwn44+DP9+OF5tjb/ir7j/T1ffrigV8rvQ0NQF5ZsdykjIMHIkfyt3ArRw4UK0Wi1Tpkzhvffew8XFRfc9GxsbAgIC6NpVlg3+U3k3uAxwDajS5Afg2DfHyLmdg1sTN5n6MlPWKmv++/B/qetQl0WHFzF762xuZt3kw74fWkwNTEx4TImCx7KkxxV98gvoHVDm94tXfw1oNKDKf06qm3be7YCiBOheI/qVZeNow/hfx/PHC39w/NvjbH1xK6nXUhn4yUCAUiuA1Plq9n6wlwP/PoCmUIONow195/Wl43Mdq+yD2d0JkDC88tZsGaO2617KnQBNmjQJgAYNGtCtWzesrSvXb6GmKO8KrareCDM/K58D/yn6gQ/5V0iJJYrCvCgVSj4b9BmetTx54883mLdvHjezbvLNsG+wUpr/rszl/UR3v/N0019NZPqrslq6t8RKacXtnNvEpMVQ3/XBu6NXhNJKydCvh1K7QW12vLaDw4sOE3cwjvT4dDLi//5/7VDXAYVKQVZSFgDNRzZn8BeDcfY13Arc8pAO0MblH+KPs68z6fHplFERoqsB8g+putYfev/27NWrF2q1mnXr1hEZWTS327JlSx566CFUKsMsqaxOijfCjE+PL7MOSIECX2ffKt8I8/h3x8m+lU3thrVp/XjrKr230J9CoWBuyFzca7nzzKZn+CHiB5Jzklk1epXZ74dV2U9+SZlJHIkvatIp9T+VZ2tlS0v3lpxKOkVEYoTREiAo+nfb/dXuuNR3YcOEDcQfiS91TnZyUYsPOzc7RiwZQfORzY0Wz70kZCQQnRqNAgWdfTtX+f1rAqVKSeiiUFaPWV206uvut8O/BiFDF4ZWaSmG3ne6cuUKgYGBTJw4kfXr17N+/XomTJhAy5YtiYqy7J1hjeF+G2EWf70wdKHB+nGUR0FOAfs/3g/I6I+leardU6wbtw5blS2/XviV0B9DSctNM3VY91X8ye8e+8AWffLzu/cnv82XN6NFSwefDlU+Ulpd6eqAjFAIXZYWY1pgV/v+ibq1vTVNhzetknj+6WBcUS1kkGcQzrZVO/JUkwSOCmTc2nE41yv5d+zs62yQJfD60vudb+bMmTRq1IjY2FhOnDjBiRMniImJoUGDBsycOdMYMVq8e22E6evsy9pxaxkV+IDqeAM7sfgEWUlZuNR3ofUTMvpjaUY2H8nWCVtxtnVmz/U99Frei8TMRFOHdU/Fn/yA0klQOT75yfSX4RmyI3R5xITHkH0r+77nZMRnVOkKoLvppr98ZfrL2AJHBTLr2iwm7ZrEqJWjmLRrErOiZ1V58gMVmALbs2cPhw4dKrHkvU6dOnz00Ud0797doMFVJ/faCLMqR34ACnML2b/gr9GfN0JQWcu0pSXqFdCLPZP3EPpjKKeSTtF9aXe2TdhGI7dGpg6tTMWf/MrsALvw3h1gcwtz2RZVtIJseDPZ/sJQqjoBMkQdmDFJ/U/VUqqU91zwUJX0ToBsbW3JyCj9jzQzMxMbG/Pd9MwclLURZlWLWBpBxo0MnP2caTOpjUljEZXT1qst+6fsZ+CPA7l65yrdl3YnbEKY2W4RETgqkGYjmum1B9Dua7vJKsjCx8lH96YtKq+NV9HPflx6HMnZyUbfeNccVwAVyy3M5XjCcUASoJpG7ymwYcOG8fTTT3P48GG0Wi1arZZDhw7x7LPP8tBDDxkjRmEghXmF7Ju/D4Aer/fAytb8VxCJ+2vk1oj9U/bTxrMNSVlJ9Freiz3X9pg6rHsq/uQX9GgQAb0DHljwePf0l6Us+7cEzrbONHZrDFRNHVBl68CM6UTCCfLV+XjU8qBh7YZVfn9hOnonQJ9//jmNGjWia9eu2NnZYWdnR/fu3WncuDGLFi0yRozCQE6tOEV6XDpOPk4ET5FP09WFl6MXeybvoWf9nqTnpTPox0H8euFXU4dVaVqt9u/d32X6y+CqchqssnVgxnT39Jck2TWL3v/aXF1d+e2337h48SJr165l7dq1XLx4kQ0bNpRojijMi7pATfi8cAC6v9YdKzsZ/alOXOxc2DphKyObjyRPncfo1aNZcmKJqcOqlLM3zxKTFoOdlZ10fzaCqq4DMrcVQMWkALrm0vtdcN++ffTo0YMmTZrQpInx9mURhnX6f6dJu55GLc9atJvWztThCCOws7Jjzdg1PLvpWZZELOGpjU9xK/sWr3V/zSI/2RaP/vRv2B8HawcTR1P9VPVSeKhYHZgxabVa3RJ4qf+pefROgPr27Uu9evV49NFHmTBhAi1ayKZx5k5TqCH8//4a/Xm1O9b20sW7urJSWrF4+GI8ankwf9985u6cS1JmEp8M+sTi9jfSTX81lekvYygeAbqUconM/EwcbRyr5L7msgII4FrqNRIzE7FWWtPep72pwxFVTO/fiDdu3OCll15iz549tGrVirZt2/Lvf/+buLgHb/gpTOPMyjPcuXoHB3cH2j8jP+TVnUKhYF6/eXw26DMAFh5eyMQNEylQF5g4svK7mXWTw3GHARjaZKiJo6mePB098XHyQYuW00mnTR2OSRRPf7Xzbmf2HdWF4emdANWtW5fnn3+e/fv3ExUVxdixY1mxYgUBAQH07Svz9OZGU6hh74d7Aej2cjdsakmrgppidpfZ/Pjwj1gprfjpzE+M+HkEWflZpg6rXP64/AdatLTzbleqgagwHF0dUBVOg5kT6f9Ts1VqTLxBgwa8/vrrfPTRRwQFBbFnj/7Lb+Pj45kwYQJ16tTB3t6eoKAgjh07pvt+UlISkydPxsfHBwcHB0JDQ7l8+fJ9r7l8+XIUCkWJh51dzczuz/5yltuXb2Nfx56Oz3U0dTiiij3e+nF+H/879lb2bLmyhf7/68/tnNumDuuBiqe/pPuzcRUnQCcSTpg4EtM4ECcJUE1W4QRo//79PPfcc3h7e/PYY4/RqlUrNm/erNc17ty5Q/fu3bG2tmbLli2cP3+eTz75hNq1awNFBWojR47k6tWr/Pbbb0RERFC/fn369+9PVtb9P8k6OzuTkJCge1y/fr2iL9ViadQawj8sqv3pOqcrNo4y+lMTDW4ymJ0Td1LbrjaH4g4RsiyEuHTznbLOK8yT7s9VRFcIXUUrwcxJRl6GbupPEqCaSe8i6Llz5/Lzzz9z48YNBgwYwKJFixgxYgQODvqv0liwYAF+fn4sW7ZMd6xBgwa6P1++fJlDhw5x9uxZWrZsCcA333yDl5cXq1at4qmnnrrntRUKBV5eXnrHVJ2cX3ue5AvJ2Lna0en5TqYOR5hQV7+u7Juyj0E/DuL8rfN0W9KNbU9so3ndqt95+0H2XN9DZn4m3o7etPOWFYvGVDwCdPbmWfLV+dioas6HpCPxR9BoNdR3qY+Pk4+pwxEmoPcI0N69e3nllVeIj49n06ZNPProoxVKfgB+//13OnTowNixY/Hw8CA4OJjFixfrvp+XlwdQYvpKqVRia2vLvn377nvtzMxM6tevj5+fHyNGjODcuXP3PDcvL4/09PQSD0un1WjZ+0FR7U+XF7tg62xr4oiEqbVwb8H+KftpVqcZsemx9FjagyPxR0wdVinF3Z+HNhlqcSvXLE2AawCudq4UaAo4f+u8qcOpUlL/I/T+7VI89VW3buX3jrl69SrffPMNTZo0YevWrUyfPp2ZM2eyYsUKAJo3b46/vz9z587lzp075Ofns2DBAuLi4khISLjndZs1a8bSpUv57bff+PHHH9FoNHTr1u2eK9Xmz5+Pi4uL7uHn51fp12ZqkRsiuXXuFrYutnSe2dnU4Qgz4e/iz74p++jo05GUnBT6ruirm24yB9L9uWopFArd3nE1rRBa6n9EhT5eXbx4keeff55+/frRr18/nn/+eS5evKj3dTQaDe3atWPevHkEBwfz9NNPM23aNL799lsArK2tWb9+PZcuXcLNzQ0HBwd27drF4MGDUSrvHXrXrl2ZOHEibdu2pVevXqxfvx53d3e+++67Ms+fO3cuaWlpukdsbKzer8WcaDVa9r5fNPrTeVZn7FxrZgG4KFtdh7r8OelPBjQcQFZBFsNWDmPVmVWmDguAc7fOcS31GnZWdvRv2N/U4dQIVd0R2hxotBoOxkoDxJpO7wRo3bp1tGrViuPHj9OmTRvatGnDiRMnaNWqFevWrdPrWt7e3qUaKQYGBhITE6P7un379pw8eZLU1FQSEhIICwsjJSWFhg3Lv2mdtbU1wcHBXLlypczv29ra4uzsXOJhyS5uvEjS6SRsnGzoMquLqcMRZsjRxpFNj21ifKvxFGgKeHz943xx+AtTh6Wb/urboK90f64iNTEBirwVSVpeGg7WDrT2bG3qcISJ6F0E/eqrrzJ37lzef//9EsffeecdXn31VUaPHl3ua3Xv3r3UyNGlS5eoX79+qXOL9xm7fPkyx44d44MPPij3fdRqNWfOnGHIkCHlfo6l0mr/Hv3p9EIn7N3sTRyRMFc2Kht+GvUTde3r8uXRL5kZNpNb2bd4r/d7Jts6Q7o/V73ilWAnE0+i0WpqRN1Vcf1P53qdsVLKvog1ld7/0hMSEpg4cWKp4xMmTLhvXU5ZXnzxRQ4dOsS8efO4cuUKK1eu5Pvvv2fGjBm6c9asWcPu3bt1S+EHDBjAyJEjGThwoO6ciRMnMnfuXN3X77//Ptu2bePq1aucOHGCCRMmcP369fuuGqsuLv9xmYQTCVjXsqbri11NHY4wc0qFks8Hf84HfYo+UHyw9wOmb56OWqOu8lhuZd3STUtI9+eq07xuc+ys7MjMzyTqdpSpw6kSsv+XgAokQL179yY8PLzU8X379hESEqLXtTp27MiGDRtYtWoVrVq14oMPPmDhwoU8/vjjunMSEhJ44oknaN68OTNnzuSJJ55g1aqS9QoxMTElkq87d+4wbdo0AgMDGTJkCOnp6Rw4cKDa71t29+hPxxkdcagrUwjiwRQKBW/2fJNvh36LAgXfHf+OR9Y+Qm5hbpXGseXKFrRoaevVFj8Xy1+IYCmslFYEeQQBNWcarHgEqKuvfEisyRRarVarzxO+/fZb3n77bcaNG0eXLkX1JYcOHWLNmjW89957+Pj83U/hoYceMmy0VSQ9PR0XFxfS0tIsqh7oytYr/BT6E1b2Vsy+NptaHrVMHZKwMOvOr+Ox9Y+Rr86nT0Affh3/K862VfMzMHbNWNaeX8tbPd/i/T7vP/gJwmCe3fQs3x3/jte7v878/vNNHY5RJWcn4/5v96I/v5JMHYc6Jo5IGJI+7996T34+99xzAHz99dd8/fXXZX4Pij5VqtVVP4xeU2m1Wva8V7QVSYfpHST5ERUyusVowuzDGPHzCHZd20Xv5b3Z8vgWPB09jXrffHU+W69sBWBYU9n+oqrVpELoQ3GHgKKpP0l+aja9p8A0Gk25HpL8VK3oP6OJOxiHlZ0V3V6WeW1RcX0a9GH35N24O7gTkRhBj2U9iL4TbdR77r2+l4z8DLwcvejg08Go9xKlFRdCn0g4gZ6TAhZH1wDRV35P1nTVv9y/hiiu/Wn3dDucvJ1MHI2wdO2827F/yn4CXAO4cvsK3ZZ20+2bZAwbLxat/pLuz6YR5BGESqHiVvYtbmTcMHU4RiUdoEUxvafA/rn8/Z/efvvtCgcjKubanmtc33sdlY2K7q92N3U4oppoUqcJ+6fsJ/THUM7cPEPPZT3Z+OhGQurrt9jhQe7u/izTX6Zhb21P87rNOXfrHBGJEdRzrmfqkIyiQF2g2/5FEiChdwK0YcOGEl8XFBQQHR2NlZUVjRo1kgTIBIprf4KfCsa5nuUUbQvz5+Pkw94n9/LQqocIjwln4I8D+WXMLzzUzHALHCKTI4lOjcZWZSvdn00o2Du4KAFKiKi2ieippFPkFOZQ2642zeo2M3U4wsT0HmuOiIgo8Th79iwJCQn069ePF1980Rgxivu4Hn6da7uuobRW0uO1HqYOR1RDrnaubJ2wleFNh5NbmMuoX0axLGKZwa5fPP3Vp0EfHG0cDXZdoZ+aUAitW/7u11WmWoVhaoCcnZ157733eOuttwxxOaGH4h3f2z7ZFhd/FxNHI6ore2t71j+ynsltJ6PWqpny+xQ+3v+xQa696XLR9hfS/dm0alICJAXQAgxYBF28kaioOrEHY7m6/SpKKyUhcw1blyHEP1kprVj60FJe7fYqAK/teI2Xt72MRqup8DVTslN0b0rVddrFUhTvCn8t9Rp3cu6YNhgjkQJocTe9a4A+//zzEl9rtVoSEhL43//+x+DBgw0WmHiw4tGf1hNb4xrgatpgRI2gUChYMGABHrU8eHn7y3xy8BNuZd/ih+E/YK2y1vt6W65sQaPV0NqzNf4u/kaIWJRXbfvaBLgGcC31GicTT9KnQR9Th2RQcelxxKbHolKo6Fivo6nDEWZA7wTos88+K/G1UqnE3d2dSZMmldiPSxhX/NF4rmy5gkKlIOQNGf0RVeulbi/hXsudKb9N4b+n/ktKdgqrx67Wewd32fzUvAR7BXMt9RoRiRHVLgEq3meutWdrqTUTQAUSoOho4zZEE+WjG/2Z0Bq3Rm4mjkbURBPbTKSOfR3GrhnL5subGfC/AWx6dBO17WuX6/n56nzCroQBkgCZi2CvYDZc2FAt64Bk+kv8k5TBW6CEiAQubbyEQimjP8K0hjYdyvYntuNq58qB2AOELAshPj2+XM/dF7OP9Lx0PGp5yJSEmSjuCB2RUA0ToDhJgERJkgBZoOLRn1aPtqJOU9nLRphWd//uhD8Zjo+TD+dunaPb0m5cTL74wOdJ92fz0867HQAXki+QU5Bj4mgMJ6cghxMJJwBJgMTf5LeOhUk6ncSFDRdAASH/ktEfYR5aebTiwJQDNK3TlJi0GHos68GxG8fueb50fzZP3o7eeNTyQK1Vc+bmGVOHYzDHbhyjUFOIt6M39V3qmzocYSYkAbIwez8sGv1pOa4l7oHuJo5GiL/Vd63Pvif30cGnA8nZyfRZ0YcdV3eUee7FlItE3YnCRmXDwEYDqzhScS8KhULXD6h4xKQ6uLv+R6FQmDgaYS7KlQC1a9eOO3eK+kK8//77ZGdnGzUoUbab525yfu15AHq+2dPE0QhRmnstd/6c+Cf9GvQjMz+TIT8NYfW51aXO03V/DpDuz+ZG1xCxGtUBSf2PKEu5EqDIyEiysrIAeO+998jMzDRqUKJs4f8XDloIHB2IRysPU4cjRJmcbJ3Y/NhmxrYYS4GmgPFrx/P10a8BUGvU7L62m6UnlwIwpMkQU4YqyqArhK4mK8G0Wq2sABNlKtcy+LZt2/Lkk0/So0cPtFot//nPf3B0LPtTm2yGahzJF5I5+/NZQEZ/hPmztbJl1ehVuDu48/Wxr5nxxwz2XNvDgbgDxKXH6c77aN9H+Dr7MipwlAmjFXcrHgE6c/MMhZpCrJR6d0sxK1duXyE5Oxlbla3utQkB5UyAli9fzjvvvMOmTZtQKBRs2bIFK6vST1UoFJIAGUn4vKLRn2YjmuHV1svU4QjxQCqlii+HfIlHLQ/e3fMuq8+XngpLzExkzOoxrB23VpIgM9HIrRFONk5k5GdwIfkCrTxamTqkSike/eng0wFbK1sTRyPMSbkSoGbNmvHzzz8DRZ2fd+7ciYeHTMFUldtXbnPmp6IVGT3fktEfYTkUCgVv9nyThYcXkpqbWur7WrQoUDA7bDYjmo1ApVRVfZCiBKVCSRuvNuyL2UdEQkS1SYBk+kv8k96rwDQajSQ/VSx8XjhajZYmQ5vg097H1OEIoZfwmPAyk59iWrTEpscSHhNedUGJ+6pOO8MfjCvaAqOrb1cTRyLMTYUmd6Oioli4cCGRkZEAtGjRglmzZtGoUSODBifgztU7nPrvKUBGf4RlSshIMOh5wviqSwKUlpvG2ZtFtZNd/SQBEiXpPQK0detWWrRowZEjR2jdujWtW7fm8OHDtGzZku3btxsjxhotfH44WrWWRoMa4dvZ19ThCKE3bydvg54njK94JdjJxJNotVoTR1Nxh+MPo0VLw9oN8XKU2klRkt4jQK+//jovvvgiH330Uanjr732GgMGDDBYcDVd6vVUTi0vGv3p9XYvE0cjRMWE+Ifg6+xLfHo8Wkq/mSpQ4OvsS4i/dDY3Fy3cW2CttCY1N5VrqddoULuBqUOqEKn/Efej9whQZGQkU6dOLXV8ypQpnD9/3iBBiSL7PtqHplBDg34N8OvmZ+pwhKgQlVLFotBFQFGyc7firxeGLpQCaDNio7IhyDMIsOxpMF0C5CsJkChN7wTI3d2dkydPljp+8uRJKY42oLTYNCKWFP3ikdEfYelGBY5i7bi11HOuV+K4r7OvLIE3U5beEVqtUXMo7hAgI0CibHpPgU2bNo2nn36aq1ev0q1b0T+q/fv3s2DBAubMmWPwAGuq/R/vR1OgIaB3APV7yuZ9wvKNChzFiGYjCI8JJyEjAW8nb0L8Q2Tkx0xZeiH0uVvnyMjPwNHG0eKX8gvj0DsBeuutt3BycuKTTz5h7ty5APj4+PDuu+8yc+ZMgwdYE2XcyODE4qKNCHu+LSu/RPWhUqroHdDb1GGIciguhLbUTVGLp7+6+HaRJFuUSe8ESKFQ8OKLL/Liiy+SkZEBgJOTk8EDq8n2/3s/6jw1/j38CegdYOpwhBA1UGvP1ihQkJCZQFJmEp6OnqYOSS9S/yMeRO8aoLs5OTlJ8mNgmYmZHP/2OFA0+qNQKB7wDCGEMDxHG0ea1mkKWOY0mKwAEw9SqQRIGN6BTw5QmFuIbxdfGvZvaOpwhBA1mG5neAsrhE7KTCLqThQKFHT27WzqcISZkgTIjGTdyuLY18cAGf0RQpiepRZCF29/0dKjJa52rqYNRpgtSYDMyMFPD1KQXYBPBx8ahzY2dThCiBrOYhOgWNn/SzyYXglQQUEB/fr14/LlywYLID4+ngkTJlCnTh3s7e0JCgri2LFjuu8nJSUxefJkfHx8cHBwIDQ0tFz3X7NmDc2bN8fOzo6goCD++OMPg8VsDNkp2Rz98iggoz9CCPNQPAV25fYV0vPSTRxN+R2Ik/of8WB6JUDW1tacPn3aYDe/c+cO3bt3x9rami1btnD+/Hk++eQTateuDYBWq2XkyJFcvXqV3377jYiICOrXr0///v3Jysq653UPHDjAo48+ytSpU4mIiGDkyJGMHDmSs2fPGix2Qzu08BD5mfl4tfWi6bCmpg5HCCGo61AXX+eiPQhPJZ4ycTTlk6/O52h80YdJSYDE/eg9BTZhwgSWLFlikJsvWLAAPz8/li1bRqdOnWjQoAEDBw7U7Sp/+fJlDh06xDfffEPHjh1p1qwZ33zzDTk5Oaxateqe1120aBGhoaG88sorBAYG8sEHH9CuXTu+/PLLMs/Py8sjPT29xKMq5dzJ4cjnRwAZ/RFCmBdLmwaLSIggT51HHfs6NHFrYupwhBnTOwEqLCzkm2++oUOHDjzzzDPMmTOnxEMfv//+Ox06dGDs2LF4eHgQHBzM4sWLdd/Py8sDwM7O7u+AlUpsbW3Zt2/fPa978OBB+vfvX+LYoEGDOHjwYJnnz58/HxcXF93Dz69q9906/Plh8tLz8AjyoPmI5lV6byGEuB9LS4DuXv4uHybF/eidAJ09e5Z27drh5OTEpUuXiIiI0D3K2iPsfq5evco333xDkyZN2Lp1K9OnT2fmzJmsWLECgObNm+Pv78/cuXO5c+cO+fn5LFiwgLi4OBISEu553cTERDw9Szbt8vT0JDExsczz586dS1pamu4RGxur1+uojNy0XA4vPAxAz7d6olDKD6wQwny0824HWM5SeKn/EeWldyfoXbt2GezmGo2GDh06MG/ePACCg4M5e/Ys3377LZMmTcLa2pr169czdepU3NzcUKlU9O/fn8GDB6PVag0Wh62tLba2tga7nj6OfHGE3NRc3Fu402J0C5PEIIQQ91JcCH3u1jnyCvOwtTLN78ry0Gq10gBRlFuFl8FfuXKFrVu3kpOTA1ChhMTb25sWLUq+6QcGBhITE6P7un379pw8eZLU1FQSEhIICwsjJSWFhg3v3STQy8uLpKSkEseSkpLw8vLSO0ZjysvI4+CnRdNyIW+GyOiPEMLs+Dn74WbvRqGmkHO3zpk6nPuKSYvhRsYNrJRWdPDpYOpwhJnTOwFKSUmhX79+NG3alCFDhuimoqZOncpLL72k17W6d+/OxYsXSxy7dOkS9euX3v3cxcUFd3d3Ll++zLFjxxgxYsQ9r9u1a1d27txZ4tj27dvp2tW8ekIc/eoouXdyqdO0Di3HtTR1OEIIUYpCodDVAZn7xqjFoz/BXsE4WDuYOBph7vROgF588UWsra2JiYnBweHvf2CPPPIIYWFhel/r0KFDzJs3jytXrrBy5Uq+//57ZsyYoTtnzZo17N69W7cUfsCAAYwcOZKBAwfqzpk4caJuZ3qAWbNmERYWxieffMKFCxd49913OXbsGM8//7y+L9do8jPzOfjJ36M/SpX0pBRCmCddIbSZ1wHJ9JfQh941QNu2bWPr1q34+vqWON6kSROuX7+u17U6duzIhg0bmDt3Lu+//z4NGjRg4cKFPP7447pzEhISmDNnDklJSXh7ezNx4kTeeuutEteJiYlBqfw7gejWrRsrV67kzTff5I033qBJkyb8+uuvtGrVSt+XazTHvj1GdnI2bo3dCHo0yNThCCHEPen2BDPzlWBSAC30oXcClJWVVWLkp9jt27crVEg8bNgwhg0bds/vz5w5k5kzZ973Grt37y51bOzYsYwdO1bveKpCQXYBB/5d9IMa8q8QlFYy+iOEMF/FI0Cnkk6h1qhRKVUmjqi0rPwsXbNG2QJDlIfe77whISH897//1X2tUCjQaDR8/PHH9OnTx6DBVTcatYZru6+x6dlNZN3MwiXAhaDHZfRHCGHemtZpioO1A9kF2Vy+bbitkAzp6I2jqLVqfJ198XOp2l5uwjLpPQL08ccf069fP44dO0Z+fj6vvvoq586d4/bt2+zfv98YMVYLkesjCZsVRnrc312m89LyuLTxEoGjAk0YmRBC3J9KqaK1Z2sOxR0iIiGC5nXNr2Gr1P8Ifek9AtSqVSsuXbpEjx49GDFiBFlZWYwaNYqIiAjdFhaipMj1kawes7pE8gOQm5rL6jGriVwfaaLIhBCifMy9I7QuAfKVBEiUj94jQFC0JP1f//qXoWOpljRqDWGzwqCsNklaQAFhs8NoNqKZrAQTQpgtc06ANFoNB+OKVtXKCJAorwolQHfu3GHJkiVERhaNXLRo0YInn3wSNzc3gwZXHcSEx5Qa+SlBC+mx6cSExxDQO6DK4hJCCH3oVoIlRKDVas1qn61LKZe4nXMbeyt72nq1NXU4wkLoPeSwd+9eAgIC+Pzzz7lz5w537tzh888/p0GDBuzdu9cYMVq0jIQMg54nhBCm0MqjFVZKK1JyUohLjzN1OCUUT391rNcRa5W1iaMRlkLvBGjGjBk88sgjREdHs379etavX8/Vq1cZP358iQaGooiTt5NBzxNCCFOws7KjhXvR1kXmNg0m9T+iIvROgK5cucJLL72ESvV3HwiVSsWcOXO4cuWKQYOrDvxD/HH2dYZ7jRYrwNnPGf8Q/yqNSwgh9GWuHaFlBZioCL0ToHbt2ulqf+4WGRlJmzZtDBJUdaJUKQldFFr0xT+ToL++Dl0YKgXQQgizZ46F0LdzbhOZXPSe1NVPGiCK8itXEfTp06d1f545cyazZs3iypUrdOnSBYBDhw7x1Vdf8dFHHxknSgsXOCqQcWvHleoD5OzrTOjCUOkDJISwCMWF0Oa0KeqhuENAUbPGug51TRyNsCQKrVZb1gLtEpRKJQqFggedqlAoUKvVBgvOVNLT03FxcSEtLQ1nZ2eDXVej1hATHkNGQgZO3k74h/jLyI8QwmKk56Xj8pELAMmvJFPHoY6JI4I3/3yT/wv/Pya1mcTykctNHY4wMX3ev8s1AhQdHW2QwGo6pUopS92FEBbL2daZRrUbEXUniojECPo37G/qkKT+R1RYuRKg+vXrGzsOIYQQFiDYO7goAUowfQJUqCnkSPwRQBIgob8KNUK8ceMG+/bt4+bNm2g0mhLfe9DO7UIIISxXsFcwa8+vNYtC6DNJZ8gqyMLZ1lm3RF+I8tI7AVq+fDnPPPMMNjY21KlTp0Q3UIVCIQmQEEJUY+a0Eqx4+qurb1eUCqmnFPrROwF66623ePvtt5k7dy5KpfyDE0KImqR4JdjF5Itk5WdRy6aWyWI5ECf1P6Li9M5gsrOzGT9+vCQ/QghRA3k5euHl6IUWLaeTTj/4CUYkBdCiMvTOYqZOncqaNWuMEYsQQggL0M67HWDaabAbGTe4lnoNpUJJp3qdTBaHsFx6T4HNnz+fYcOGERYWRlBQENbWJTee+/TTTw0WnBBCCPMT7BXMH5f/MOmWGAdjDwIQ5BGEs63h+rWJmqNCCdDWrVtp1qwZQKkiaCGEENWbORRCy/SXqCy9E6BPPvmEpUuXMnnyZCOEI4QQwtwVF0KfuXmGAnUB1irrBzzD8KQAWlSW3jVAtra2dO/e3RixCCGEsAANXBvgYutCvjqf87fOV/n9cwtzOX7jOFC0BF6IitA7AZo1axZffPGFMWIRQghhARQKBW292gKmmQY7fuM4BZoCPGp50LB2wyq/v6ge9J4CO3LkCH/++SebNm2iZcuWpYqg169fb7DghBBCmKdgr2D2XN9DREIEk9tOrtJ7H4wrKoDu5tdNak9FhemdALm6ujJq1ChjxCKEEMJCFNcBmWIESFcA7Sv1P6Li9E6Ali1bZow4hBBCWJDilWAnE0+i0WqqbCsKrVYrK8CEQUg7ZyGEEHprXrc5tipbMvIzuHrnapXdNzo1mqSsJKyV1rT3aV9l9xXVj94jQA0aNLjvnOvVq1X3gyCEEMI0rFXWBHkGcezGMSISImjs1rhK7ls8+tPepz12VnZVck9RPemdAM2ePbvE1wUFBURERBAWFsYrr7xiqLiEEEKYuWCv4KIEKDGCsS3HVsk9pf5HGIreCdCsWbPKPP7VV19x7NixSgckhBDCMpiiI7TU/whDMVgN0ODBg1m3bp2hLieEEMLM6TZFraI9wdLz0jlz8wwAXf2kAaKoHIMlQGvXrsXNzc1QlxNCCGHmgjyDUCqUJGUlkZCRYPT7HYk/gkarIcA1AB8nH6PfT1RveidAwcHBtGvXTvcIDg7G29ubN954gzfeeEPvAOLj45kwYQJ16tTB3t6eoKCgElNpmZmZPP/88/j6+mJvb0+LFi349ttv73vN5cuXo1AoSjzs7KRYTgghDMnB2oHmdZsDVTMNJtNfwpD0rgEaOXJkia+VSiXu7u707t2b5s2b63WtO3fu0L17d/r06cOWLVtwd3fn8uXL1K5dW3fOnDlz+PPPP/nxxx8JCAhg27ZtPPfcc/j4+PDQQw/d89rOzs5cvHhR97V0CxVCCMML9grm/K3zRCREMKTJEKPeqzgBkv2/hCHonQC98847Brv5ggUL8PPzK9FcsUGDBiXOOXDgAJMmTaJ3794APP3003z33XccOXLkvgmQQqHAy8vLYLEKIYQoLdgrmJ/O/MSJxBNGvY9Gq+FQ3CFARoCEYZi0EeLvv/9Ohw4dGDt2LB4eHgQHB7N48eIS53Tr1o3ff/+d+Ph4tFotu3bt4tKlSwwcOPC+187MzKR+/fr4+fkxYsQIzp07d89z8/LySE9PL/EQQgjxYLotMYxcCB15K5K0vDQcrB1o7dnaqPcSNUO5EyClUolKpbrvw8pKvwGlq1ev8s0339CkSRO2bt3K9OnTmTlzJitWrNCd88UXX9CiRQt8fX2xsbEhNDSUr776ip49e97zus2aNWPp0qX89ttv/Pjjj2g0Grp160ZcXFyZ58+fPx8XFxfdw8/PT6/XIYQQNVXxrvDRqdGk5qYa7T7F01+d63XGSqn35IUQpZT7X9GGDRvu+b2DBw/y+eefo9Fo9Lq5RqOhQ4cOzJs3DygqsD579izffvstkyZNAooSoEOHDvH7779Tv3599u7dy4wZM/Dx8aF///5lXrdr16507fr3HHG3bt0IDAzku+++44MPPih1/ty5c5kzZ47u6/T0dEmChBCiHNzs3ajvUp/radc5mXiS3gG9jXKfA3FSAC0Mq9wJ0IgRI0odu3jxIq+//jobN27k8ccf5/3339fr5t7e3rRo0aLEscDAQF0/oZycHN544w02bNjA0KFDAWjdujUnT57kP//5zz0ToH+ytrYmODiYK1eulPl9W1tbbG1t9YpdCCFEkWDvYK6nXSciIcJ4CZCsABMGVqEaoBs3bjBt2jSCgoIoLCzk5MmTrFixgvr16+t1ne7du5dYqQVw6dIl3XUKCgooKChAqSwZpkql0mu0Sa1Wc+bMGby9vfWKTwghxIMZuyN0cnYyl1IuAdDFt4tR7iFqHr0mUtPS0pg3bx5ffPEFbdu2ZefOnYSEhFT45i+++CLdunVj3rx5jBs3jiNHjvD999/z/fffA0VL2Xv16sUrr7yCvb099evXZ8+ePfz3v//l008/1V1n4sSJ1KtXj/nz5wPw/vvv06VLFxo3bkxqair//ve/uX79Ok899VSFYxVCCFE2YydAB2MPAhBYNxA3e2m4Kwyj3AnQxx9/zIIFC/Dy8mLVqlVlTonpq2PHjmzYsIG5c+fy/vvv06BBAxYuXMjjjz+uO+fnn39m7ty5PP7449y+fZv69evzf//3fzz77LO6c2JiYkqMEt25c4dp06aRmJhI7dq1ad++PQcOHCg13SaEEKLyileCRd6KJKcgB3tre4NeX6a/hDEotFqttjwnKpVK7O3t6d+/PyqV6p7nrV+/3mDBmUp6ejouLi6kpaXh7Oxs6nCEEMKsabVaPP/jya3sWxx56ggd63U06PV7Le/F3ut7WfLQEqYETzHotUX1os/7d7lHgCZOnCjdlIUQQpSiUCgI9g5mW9Q2IhIjDJoAFagLOBJ/BJARIGFY5U6Ali9fbsQwhBBCWLJgr78SIAM3RDyZeJLcwlxq29WmaZ2mBr22qNlM2glaCCFE9WCsQmjd/l9+XVEq5C1LGI78axJCCFFpxYXQp5NOU6gpNNh1dQ0QfWX6SxiWJEBCCCEqrbFbYxxtHMkpzOFi8sUHP6GcipfAS/2PMDRJgIQQQlSaUqGkjWcbwHDTYLFpscSmx6JSqAy+skwISYCEEEIYhK4OyECF0AfjikZ/2ni1wdHG0SDXFKKYJEBCCCEMorgOyFAjQLoGiFL/I4xAEiAhhBAGcfdKsHL22L0v6QAtjEkSICGEEAbR0qMl1kprUnNTuZ52vVLXyi7I1o0kSQIkjEESICGEEAZho7KhpUdLoPJ1QMduHKNQU4iPkw/+Lv6GCE+IEiQBEkIIYTDtvNoBla8Dunv6S7ZhEsYgCZAQQgiDMVQhtK4DtG/XSsckRFkkARJCCGEwhlgKr9VqpQBaGJ0kQEIIIQymjVcbFCiIz4jnVtatCl3j8u3LpOSkYKuy1SVUQhiaJEBCCCEMxtHGkSZ1mgAVnwYrHv3p4NMBWytbg8UmxN0kARJCCGFQlZ0Gk/2/RFWQBEgIIYRBFSdAJxJPVOj5uh3gJQESRiQJkBBCCIPSrQSrwAhQam4q526eA2QFmDAuSYCEEEIYVPEI0OXbl8nIy9DruYfjDqNFS6PajfB09DRGeEIAkgAJIYQwMPda7tRzqgfAqaRTej1Xlr+LqiIJ0P+3d99RUZxtG8DvBZGiFDUC0kQUREQEKSoWRLFjYgnBBAOJQUQlKq+aUI6CsRuxxxKNYnlfTUCJWIK9xhIboLEhKgICKhZAQGD3+v7g2wkb0BgF1t29f+d4jjszLPfMsjPXPPPMPIwxxmrd214G4/4/rL5wAGKMMVbrqo4M/6bEEjGdzTpLRByAWN3jAMQYY6zWvU0AuvrwKhWVFZFuQ11q37x9XZXGGBFxAGKMMVYHOrWoHBT1z4d/Upm47I1+Rtr/p7NZZ1JXU6+z2hgj4gDEGGOsDljoW1ATrSZULikXbmv/J0L/HzO+/MXqHgcgxhhjtU4kEv3rkeH5DjBWnzgAMcYYqxP/ZkiMvKI8uvP0DolIRJ3NOtd1aYxxAGKMMVY3/k1H6DNZleN/tTdsTwZaBnVZFmNExAGIMcZYHZFeAkvOTSaxRPzaZYXLX9z/h9UTDkCMMcbqRNtmbUm7gTa9KH9Bt5/cfu2y3P+H1TcOQIwxxuqEupo6ORg5ENHrL4O9rHhJFx5cICIOQKz+cABijDFWZ96kI/Tl3Mv0UvySPtD5gNo0bVNfpTEVJ/cAlJ2dTaNGjaJmzZqRtrY2dejQgS5cuCDMLyoqopCQEDIzMyNtbW2ys7OjNWvW/OP7xsXFka2tLWlpaVGHDh1o3759dbkajDHGavAmt8JXvfwlEonqpS7G5BqAnj59St26dSMNDQ367bff6Nq1axQTE0NNmjQRlvnPf/5DSUlJtHXrVrp+/TpNnjyZQkJCKDEx8ZXve/r0afr000/pq6++osuXL9PQoUNp6NChdPXq1fpYLcYYY/+v6p1gAGpchjtAM3kQ4VV/kfUgLCyMfv/9dzp58uQrl7G3tydfX1+aPn26MM3Z2ZkGDhxIs2fPrvFnfH196cWLF7Rnzx5hWpcuXcjR0bHG1qOXL1/Sy5cvhdcFBQVkbm5Oz58/Jz09vbdZNcYYY0RUWlFKjec2JjHElBmaSWZ6ZjLzAZDJYhPKLcql418cp54te8qpUqYMCgoKSF9f/42O33JtAUpMTCQXFxfy8fEhQ0NDcnJyonXr1sks4+7uTomJiZSdnU0A6OjRo3Tr1i3q16/fK9/3zJkz5OXlJTOtf//+dObMmRqXnzdvHunr6wv/zM3N333lGGOMkVYDLbJrbkdENfcDynieQblFudRArQG5mLjUd3lMhck1AN25c4dWr15N1tbWtH//fho3bhxNnDiRNm3aJCyzYsUKsrOzIzMzM2rYsCENGDCAfvjhB+rZ89VnCbm5uWRkZCQzzcjIiHJzc2tcPjw8nJ4/fy78y8zMrJ0VZIwx9tp+QNLLX07GTqSjoVOvdTHV1kCev1wikZCLiwvNnTuXiIicnJzo6tWrtGbNGgoICCCiygB09uxZSkxMpJYtW9KJEydowoQJZGJiUq2V521pamqSpqZmrbwXY4wxWU7GTrQ5ZfNrAxDf/s7qm1wDUIsWLcjOzk5mWrt27WjHjh1ERFRSUkIRERGUkJBAgwcPJiIiBwcHSk5OpkWLFr0yABkbG1NeXp7MtLy8PDI2Nq6DtWCMMfY6r7sVXjoEBgcgVt/kegmsW7dudPPmTZlpt27dopYtWxIRUXl5OZWXl5OammyZ6urqJJFIXvm+Xbt2pcOHD8tMO3jwIHXt2rWWKmeMMfamHI0diaiyv8+TkifC9KKyIkrJTSEiDkCs/sk1AIWGhtLZs2dp7ty5dPv2bfrf//5HP/74I02YMIGIiPT09MjDw4OmTZtGx44do7t371JsbCxt3ryZhg0bJryPv78/hYeHC68nTZpESUlJFBMTQzdu3KDo6Gi6cOEChYSE1Ps6MsaYqtPX0ierJlZEVDkumNT57PMkhpjM9cyr3R3GWF2TawBydXWlhIQE2rZtG9nb29OsWbNo6dKl5OfnJyyzfft2cnV1JT8/P7Kzs6P58+fTnDlzKDg4WFjm/v37lJOTI7x2d3cXwlTHjh0pPj6efv31V7K3t6/X9WOMMVZJehnsUs4lYRr3/2HyJNc+QERE3t7e5O3t/cr5xsbGtHHjxte+x7Fjx6pN8/HxIR8fn3ctjzHGWC1wMnaiHdd3yHSEPp3FAYjJj9yHwmCMMab8hFvh/78jtAQSOpPJHaCZ/Mi9BYgxxpjyk14Cu5l/k4rLiynjWQY9LX1K2g20qaNRRzlXx1QRtwAxxhircy10W5BRIyOSQEKpealC/x9XU1fSUNeQc3VMFXEAYowxVi+qXgbjAVCZvHEAYowxVi+qjgzPHaCZvHEfIMYYY/WiU4tORER05O4RSn+aTkREXc35AbVMPrgFiDHGWL2QtgBJw4+Znhk10Woiz5KYCuMAxBhjrF5czr1MIhIJr7MKsshymSXtvL5TjlUxVcUBiDHGWJ3beX0nfRL3CYEgMz27IJs+/uVjDkGs3nEAYowxVqfEEjFNSppULfwQkTBtctJkEkvE9V0aU2EcgBhjjNWpk/dPUlZB1ivng0CZBZl08v7JeqyKqToOQIwxxupUTmHOPy/0L5ZjrDZwAGKMMVanWui2qNXlGKsNHIAYY4zVqR4WPchMz0zmDrCqRCQicz1z6mHRo54rY6qMAxBjjLE6pa6mTssGLCMiqhaCpK+XDlhK6mrq9V4bU10cgBhjjNW54e2GU/wn8WSqZyoz3UzPjOI/iafh7YbLqTKmqkQAqt+XqOIKCgpIX1+fnj9/Tnp6evIuhzHGlIZYIqaT909STmEOtdBtQT0senDLD6s1/+b4zWOBMcYYqzfqaurUy7KXvMtgjC+BMcYYY0z1cABijDHGmMrhAMQYY4wxlcMBiDHGGGMqhwMQY4wxxlQOByDGGGOMqRwOQIwxxhhTORyAGGOMMaZyOAAxxhhjTOXwk6BrIB0dpKCgQM6VMMYYY+xNSY/bbzLKFwegGhQWFhIRkbm5uZwrYYwxxti/VVhYSPr6+q9dhgdDrYFEIqEHDx6Qrq4uiUSiWn3vgoICMjc3p8zMTJUcaFXV15+ItwGvv2qvPxFvA1Vff6K62wYAqLCwkExMTEhN7fW9fLgFqAZqampkZmZWp79DT09PZf/wiXj9iXgb8Pqr9voT8TZQ9fUnqptt8E8tP1LcCZoxxhhjKocDEGOMMcZUDgegeqapqUlRUVGkqakp71LkQtXXn4i3Aa+/aq8/EW8DVV9/ovdjG3AnaMYYY4ypHG4BYowxxpjK4QDEGGOMMZXDAYgxxhhjKocDEGOMMcZUDgcgxhhjjKkcDkCMMcYYUzkcgOqAKj1ZQCKR1DhdlbYBY4xJARD2f6q6H0xOTqaKigoier+3AQegWpScnExFRUW1PoDq+0oikQiDzV2/fp1u375N6enpREQqsw0Yq8n7vNNntUt6Eig94ItEIrpz547wf1VTXFxMnp6eNHXqVCJ6v7cBB6BaMn36dAoNDaU9e/aQWCxW+h0gACH8RERE0IgRI8jd3Z369u1LERERcq6ufkk/6/z8fHr48GGN85SZdB1zcnLo+vXr9Pz5cyovLyeiV7cQKhPp+mdmZtK1a9coMzOTSktL5VxV/ZJug/T0dLp9+zZlZGRUm6es1NTU6NatWzRt2jQiIoqLi6MOHTrQzZs35VxZ/aja4kVEpKOjQ8uWLaMTJ07QgQMH5FjZGwB7Z+Hh4fjggw9w4MAB5Ofny8wTi8Vyqqp+LFy4EE2bNsXBgweRlJSEtWvXolGjRhgzZoy8S6tXO3fuhKurK8zNzfH111/j/PnzwjyJRCLHyuqWdN0SEhJgb28PY2NjuLm5ISoqSvguKPN3QLr+O3fuhLW1Ndq1awcrKyuMHj0af/zxh5yrq19xcXEwNzdHixYt0K1bN6xdu1aYp8zfAQA4fPgwRCIR+vfvD3V1dcTGxgJQ/vWu6ty5c3j27BkA4MGDBxg6dCgmTZqEkpISOVf2ahyA3tH58+dhY2ODM2fOAACeP3+OW7duYe3atUhLSwOgPAeAzMxMmddlZWUYNmwYZs2aJTP9wIED0NDQwLJly+qzPLm5cOECjIyMEBUVhZiYGFhZWWHIkCE4cOCAsIwy7wj37dsHXV1dxMTEIC8vD6GhoTAxMUFQUBAePXoEQHm+AzU5duwYdHV1sXz5cgDAkiVLoKGhgQ0bNsi5sron/bvOzs5G69atsX79euzYsQOTJ0+GhYUFFi1aVG1ZZSNdr+nTp0MkEsHT0xMvXryQc1X169atWxCJRGjfvj1+/PFH5OTk4MSJE9DW1sb+/fsBvJ/7AA5A7+jKlSto2bIljhw5gitXruDrr7+GtbU1WrVqBS0tLdy8eVPeJdaK0aNHY9iwYTLTXrx4ARsbG0yePFmYVlFRAQAYP348hg4dipcvXyrtjg8A0tLSsGjRIsycOVOYlpqaCjc3N3h7e+PgwYPCdGXYDidOnJB5nZeXBy8vL8yfPx8AkJ+fDwsLC3Tu3Bn29vYYO3as0rYESddn6tSpGD16NAAgKysLVlZWCA4OFpaTnhUrq9OnTyMsLAwhISHCNsnMzMSMGTNgamqq9CGovLwcABAdHY0pU6ZAXV0dY8aMwYMHD2pcXhm3QX5+Ptzc3KCvr4/IyEj07t0bp06dwowZM2BjY4OcnBx5l1gjDkBv6fr163jx4gWysrLg7e2Ndu3aQUdHB8HBwdi+fTseP36Mdu3aKU0ryNOnT1FWVgYAePLkiTA9OjoanTp1ElrApMLDw9G7d2+l/LIDlTux/Px8mJubQ0tLS+aABwApKSlwdXXFRx99hD179sipytp1+PBh6Orq4tGjR8LnWlFRgS1btuDatWt4+PAh2rZtK2yLgIAAGBgYYOTIkUJLkKKqGt6k3wNp2B83bhxWrlyJZ8+eCS1f0u3z66+/Ij4+XlhW2RQWFiI4OBj6+vro06ePzDxpCLK0tKzWSqwMpJ+x9BKP9PWePXuEEJSbmyssX/WyuLLIyspCXl4eACA5ORl2dnZYuHAhYmNj0ahRIwwfPhwtWrTAd999h5cvX8q52uo4AL2FHTt2oHHjxvjll18AADdv3sSvv/6Ko0ePCjvHFy9ewNXVFf/73//kWWqtW79+PVq0aIFbt24BAI4fP45evXrBz88Pv//+O4DKM96+ffsiMDBQnqXWmaqh7ujRo2jTpg26du1abQeXmpoKa2tr+Pr6KkWTeElJibCzu3fvnjBdum4LFy7E4MGDhRafZcuWoV27dhgxYgSys7Prv+BaVvUS8N69e7FmzRoAlWHf3NwcZmZmmDhxotAiUFZWhlGjRuHbb78V9gvKoup34OLFiwgODoampiY2b94ss1xWVhamTJkCOzs75OfnK80JkXQ99u/fj4CAAAwcOBCBgYG4c+cOACApKQkNGjRAUFAQLl68iFmzZkFfX1/m5EHRXb9+HR07dkRAQAAuXLgAAJg/fz4mT54MiUSCP/74AwEBAVBTU4OTkxOKiorkXHF1HIDe0kcffQRLS0vEx8ejtLRUmF5SUoI7d+5g8ODBcHFxUbozv7y8PDg6OqJDhw64ffs2gMoOsH379oWRkRFcXFyE+dKdvrJ84au2egB/tQocPnwYlpaWGDVqFC5duiTzM1evXhV2isrizp07EIlE+P7772WmT5kyBW5ubsKObsqUKViwYEG1GwMUUWFhIVxcXODl5YX4+HiIRCLExcUBAAoKCtCvXz8YGBigsLAQQGX4CQ8Ph6mpqdJcBgdkWz2kQQ+o7AMyZswY2NraYuvWrTI/k52drfAtgDVJSEiAtrY2IiMjsWjRIvTo0QN6enpCq8+hQ4fQtGlTdOzYEUZGRkJIUCbLly/HqFGjoKuri59++gn//e9/0bdvX+HSf15eHg4ePCgcK943HIDewYgRI2BhYYG4uDgUFxcDAFatWoWBAwfC3d29WlO5onlVn43Hjx+jU6dOsLW1RXp6OgDgxo0b2LVrFyIiIrB69Wph51h1J6nIpDv+Q4cOYcKECfDz88OcOXOEFpH9+/fD0tISfn5+SE5Olmepda68vBzR0dFo2LChzCXeH374AW5ubhgxYgQ+//xzNGrUSGgpVHSlpaU4fPgwDA0NoampiS1btgCoDDoSiQSHDx9G+/bt0aJFC/Tp0wf9+/eHoaFhtUCsyKTfgb1792LAgAHo1q0bBg0aJNztlpaWhqCgILRt21bpWr7/Lj8/H+7u7liyZAkA4P79+zA3NxdavaXb6vr16zh+/Hi1G0gUkXSdiouLZU5qiouLsXTpUhgbGwt9YDt06KAQJz4cgN7QDz/8gKNHj1YLBcOGDYOxsTHi4+MBVF722LJlixB6FDUAVF3Ps2fPIikpCampqXj69CmAyh2ANAS9Kt0ravB7lYSEBGhpaSEwMBB9+/aFi4sLWrZsiYyMDACVd79ZW1vjww8/RGpqqpyrrT3SHd+1a9dw8uRJ3L9/HwCwaNEiiEQiLF26FEBlSIiKisLw4cMxcOBAhd4GNYX/e/fuoUmTJjAwMMBHH30kM08ikeDJkyeYM2cOpk2bhqVLlwonB8pkz5490NDQwNSpUzF79mx4eHjAxMRECIR//vknxo8fD0NDQ6GLgDK6f/8+LCwskJWVhZycHJiamiIoKEiY//PPPwv7SmUg3Qfs3r0bXl5esLW1xeDBg7Flyxbh5P/48eP4+uuv0bVrV4hEIsycOfO9b/3nAPSGHB0dYWZmht9//73aztHR0REODg7YvHmzzAeuiAFAIpHIrMM333wDExMTWFpaomHDhhg5cqRwW2N+fj6cnZ1hZ2enNGf6r/Lo0SM4Ojpi4cKFwrQrV66gX79+aNWqFR4+fAig8tp/x44dlaLPS1UJCQlo3LgxWrduDU1NTaxbtw55eXlYvHgxRCIRYmJiAPwVHN7nZ3+8qezsbKFf19atWzFlyhSkp6fjwIEDaN26NQYNGiQsq6gnOm9KIpGgqKgIffr0QVhYmMy8L7/8EiYmJkhJSQFQ2ScoNDT0vb3s8S7OnTuHJ0+eoLi4GIMGDcK6detgYWGBsWPHCn8D9+/fh5+fH/bt2yfnamvXvn370LBhQ4SFhWHNmjXo168f3NzcEBkZKYSghw8f4vTp0/D09MT169flXPE/4wD0D/773/8Kzbm9e/eGpaUlTp06JYQbiUQCX19fGBgY4OOPP5Znqe/s7820a9euRfPmzXH8+HE8ffoUe/bsQb9+/TB48GDhduhHjx7BxcUF9vb2wm2fyna7MwDcvXsXRkZGMs/2qaioQHJyMjp16oQVK1YI660MHZ6lxGIx8vPzhQfbpaWlYfbs2RCJRJg/fz5ycnKwePFiaGpqYu7cufIut1ZIJBKUlJQId/HNmzcPIpFIeLBfaWkpfv31V7Rp0wbe3t7Cz61atQrr1q2DWCx+7898X6dq7VWDnVgshpOTk3DZs2rfx65du8LHx0d4/T7e8fNv/b3T7u3bt2FqaoobN25ALBbD19cXIpFIZr2BypNGRT8Jevz4MYDKvwWxWIwXL17A29tbJvyWlZUhIiICrq6uCtvaxwHoNa5evQonJyc4ODhg7969AIBevXrB0tISJ06cEA50X375Ja5du6bQB/7x48dj2rRpAP5quRo9ejT8/f1lljt27BicnZ2FZYHKliAnJyd069at/gquZ6WlpejUqRMiIyNlpkskEri5uSEkJERmmqKr2tm1uLgYERERMo8/WLp0qUwImjNnDpo2bSqzjKJLS0uDubk5RCIRoqKiZOZVDUEODg4IDg6GSCTCn3/+KZ9ia4n0c5ceAIHKZz9J7/D09PTEgAEDhHnSEDR58mSZMKjoVq1aBXt7e5kQk56ejlatWgn9/goLC+Hk5ARHR0csWLAAmzdvxtixY6Gnp6fQ/QC3bt2KPn36VPtb7tWrF/7zn/8A+OsYUVFRgZ49e8LX17fe66wNPBbYK0ybNo2ioqJIW1ubsrKy6Ouvv6Zdu3bR0aNHydramgICAmjYsGHk7u5OZ8+eJRsbG1JTU1PYsY/69etHc+bMISKiZ8+eCdMLCwuJ6K8xnTw8POjTTz+ln376iZ49e0YAqGnTpjR//nzKz88XBkNVZPj/cW0qKiqopKSEiIg0NTWpV69edPDgQdq5c6ewrEgkIlNTUzIwMBDGxHmfB/97UyKRiHbt2kVDhw4lFxcX2rlzJ2VmZgrzJ02aREuWLKEZM2bQmjVr6KuvvqK0tDRq0qSJHKuuPeXl5dS0aVNSV1cnQ0NDunnzJp07d06Yr6mpSYMGDaItW7ZQ27Zt6eHDh5SSkkJ2dnZyrPrdiUQievz4MXl7e9PcuXMpMTGRPDw8qKCggIiIwsPDKS0tjSZOnEhElduBiOjx48ekq6tLFRUVSjH2V9++famwsJA+++wzevDgARERPX/+nDQ0NKhZs2YkFoupcePGdPToUbKzs6NffvmFFixYQHl5eXTq1Cnq2LGjnNfg35N+bkVFRVRWVkbR0dF0/fp1IiJ6+fIl6evr07Vr14iISF1dncRiMamrq1P//v0pMzOTysrK5Fb7W5Nn+npfbdy4EQYGBrh48SKePHmCnJwc9OvXDy4uLkhMTARQ+byDsWPHYvz48UIzsSK2AP29tWLTpk3o378/srOzERcXB5FIhJMnT8os8/PPP6NLly4oKCgQpi1atAjW1tYyZ46KqOqdLiNHjkS7du0wdepUHD58GKWlpfD29kaXLl0wadIk/PLLLwgJCYGenp5CXO/+N86fPw89PT0EBwfjiy++gIaGBiZNmiTz/B8AmDdvHpo0aaLwn/urFBYWIiUlBW3atMHw4cOrPfBTStoHQpFJ1yEjIwOzZ8+GmZkZtLS0sG3bNmGZgoICrFixAq1atYKnpyemT5+OgIAANGrUCFeuXJFX6XXi7t27aN26Nbp3747c3FycPn0atra2Nfb3evHiBQoLC2UuCyqaqn/bmzdvhqenJ4YNGyZ8rqmpqdDW1sbEiRNljnX+/v4YMWKEQj7rigNQDSIjI9G9e3eIxWLhg87KykLnzp2FZ/9ISecrSyfIVatWoWvXrvjss8+QnZ2NSZMmQV9fH3v37sW9e/fw9OlT9O3bF97e3jLhaefOnQofAqTrs2vXLujo6GD69OnYsmULevXqhVatWgnr/80336BLly6wtrZGjx49cPnyZfkWXstu376NGTNmYN68ecK0VatWwczMDGFhYdVCkLJc9pJ+/snJydi2bRs2b94srOu5c+fQpk0b+Pj44PTp0wAqH4AYHR0t87OKavPmzTAyMhKeYZOUlASRSAQjIyOZvwOgMhQeP34c3t7e6NOnDz7++GOlCz9S0hDUr18/JCYmwtHREcuXL0d8fDyOHj2KhIQEbNiwAVevXpV3qe/kyJEjaN68ucxnvWnTJiEESe/o3LFjB7S1tdG7d2988cUXCAgIQOPGjRX2jk8OQFVId2LfffcdXFxchDtZpMn2yJEj0NHRgaenJ7Zv3y63OutabGwsevTogU8++QR//PEHwsLCoK2tDTMzM9jZ2cHR0VHhn3EktXfvXuHuFYlEgocPH8LDw0N4vkdxcTGaN2+O0NDQai18eXl57+XTTd/F8+fP4eLigg8++AAREREy81auXAlTU1NERkbKPNxR0Q/+VcXHx8Pc3Byurq7w8PCAhoYGdu/eDaBy0Nv27dujS5cu6NevH3R0dF7ZIqQopJ/d0aNH0bVrV9jb2+Phw4fIz89HYmIi5s2bB1tb22p9oKpSxDP/V5Fujxs3bggndHfv3kWbNm2EwT4dHBxgb28PZ2dnWFtbo23btrhx44Y8y35nN27cwNSpU9G+fXssWLBAmL5p0yb06tULw4YNw7Vr1wBUPg7D398fw4YNg7+/v0KHXw5ANUhNTYW6urpwdieVlJSEESNGoHfv3vDy8lKKOx2qqnog27BhAzw8PODr64snT54gJSUFcXFxiIuLU/hnHEnl5uaiVatWQid2oPLOD2dnZ9y4cQN37tyBqakpxowZI/xMUlIS0tLS5FVyvbh06RKsra3RrVu3aju31atXQ0tLCzNnzlT4z//vzp8/j6ZNm+LHH38EUDnEjUgkwnfffSeE3+TkZERERCAkJEThOzwDlc9uASq/+2fOnEH37t2FEARUPvsoKioKtra2MgP+bt26VegYrSwBWLoeO3bsgJ2dHWbMmCEM4nn37l04OzujQ4cOSE9PR3l5OcrLy4WbBBTVokWLhJO4jIwMfPvtt2jbtu0rQ5D0ZFEaehU9/HIAeoWNGzdCQ0MD06ZNw4ULF5Ceno7Bgwdjzpw5uHbtGkQikcxI38ri7yGoe/fu8PX1Fc74/z4chKK7ePEiXF1dERgYiCtXrqCkpAR2dnZYs2YN2rRpg8DAQGFd7969i5EjRyrd8z1qkpKSAkdHRwQFBVVr3l+/fr3CP/fp76PaA0BcXJxwS/OdO3dgZmaGcePGCfOll/oqKioUsr/f30kHt5Xe1SSRSHDq1Cl0794dtra2wuWwjIwMREdHw9bWFqNHj0ZkZCREIpFSPudn//790NbWxurVq4UQKHX37l1YWVnB09NTeBioIktLS0OPHj1kui6kpaW9NgT5+PjI3OGm6OGXA9BrxMfHw9DQEGZmZjA1NYWTkxNKSkpw7949WFtbC2lY2fw9BPXo0UMmBCmbS5cuoVOnTvjqq6/w4MEDrFy5EiKRSOZBdwAQEREBe3t7pdj5vQnpdgkMDFSK1g6pmka1B4DFixejW7duSE9Ph4WFBYKCgoSgk5iYiAkTJijVJc+qg9tWPcGRhqB27doJISgzMxMrVqyAm5sbunbtqlRDfACV611aWorPP/8cU6ZMEaYBsid70qeBDxgwQOFPAisqKoSx606ePCn8/1UhaMuWLXBycsLnn3+uNFc/OAD9g6ysLJw5cwYnTpwQdoZhYWGwtbUVmkeVUdUDQ2xsLHr27Ilvv/0WpaWlCp/6a3Lp0iU4OjoiMDAQhw4dwtSpU6Guro6FCxdi4cKFGDduHHR1dZWuw/M/uXTpEtzc3DBy5EiF7+Qu9apR7f/44w94eHigSZMm+OKLLwD8dZNDaGgoPvnkEzx//rz+C65j0sFtpU85f1UIKi0thVgsxrNnz+RZbp1yd3dHaGhojfOkJz4ZGRkKfxm86j78wYMH8PT0RJs2bYSA/6oQtG3btmo3QSgyDkD/wtWrV/H555+jWbNmKnEgrPolmTp1Krp37640yb8mly5dgrOzM8aOHYsDBw5gxYoVaN++PTp37oxPP/1UoTv7vQtpMJA+6VtZ/H1U+5cvXyIwMBDGxsZYuXIlioqKkJWVhbCwMDRr1kzh7/R5laqD20o7/1cNQR06dFDak72qrTxFRUXw8vLCZ599JkyTLpOZmYmwsDClu+x36dIlBAUFIS4uDu7u7ujUqVO1ENS+fftq/WGVBQegN1ReXo5Lly5hypQpSrsjrIl0BxEdHQ0rKyulPvsDKvsEubi4IDAwEA8ePJB5IrIqU8b1r3rgX7x4MYDK9RwxYgQ6dOiAxo0bw93dHa1bt1aqSz7/NLht1RD0+++/w97eHp07d1aKfk9S0m0gfZq/9Pk9u3fvlgnFUuHh4XBxcRFaDpXF4sWL4ezsjAsXLuDUqVPo2LEjnJ2dZUJQSEgIXF1d8fjxY6Vr/ecA9C8peq/3tyGRSPDLL78o9OPd/41Lly7B1dUVvr6+QthVti++KvqnA/+iRYsAVLYEJScnIzY2FqdOnUJWVpbcaq4r/zS4rTQEicVinD17Fnfv3pVrvbVJ+newb98+DB06FJ6envDx8RFa9ZctWwaRSIThw4fD398ffn5+0NPTU4oQLF33qneude/eHV5eXgAqH4bo6OgoE4LS09OVLvhJcQBirAbKetlH1b3pqPbKShUHt63Jrl27hJHNJ06ciEGDBkFLS0t45tPhw4cxatQoDBkyBMHBwUp1E0BSUhJGjRqF/fv3A6js02RlZYX58+cDqHw0gpubG6ysrJSq039NOAAx9grKeNlHVf2bA7/0QKBM3nZw2/z8fKVr/SwrK8PAgQNlRjYvLi7G5MmToampKTzVWNrfUZmedyWRSDBmzBiIRCI0bdoUUVFRuHPnDubMmYOPP/4YqampkEgkSEpKQq9evZT2zl+pBvIei4yx95WWlpa8S2DvCP8/OG1ZWRlpa2uTh4cH+fj4UJMmTSgyMpIaN25MoaGhREQUEBBAJSUltHDhQgoKClKagV2J/hrcdvXq1ZSZmUkSiYR8fX2FdZw0aRIREX3zzTdUUlJC48aNo+DgYGratKk8y651u3btorS0NLp37x59+OGHRFT5N6KpqUmzZ8+mq1ev0vLly2nVqlWkplY5Vri6uro8S35nqDJAs0gkosDAQCoqKiJ7e3tKSEigvLw8qqiooD///JMOHjxIHTp0oN69e1OPHj1IR0dHztXXLR4NnjGmtFR9VHupCxcukL+/P7Vq1Yrc3NwoPT2dNmzYQBkZGcIykyZNopkzZ9Ly5cupQYMGShd+Ll68SKNHj6aWLVuSjY0N7d27l4qLi0kkEpFIJKJGjRqRsbExPX78mDQ0NKhBg8r2AWl4UFQikYiOHDlC69evJyIiFxcXatasGaWnp9ORI0fIwcGBiIhu3LhBU6dOpTNnzpCGhobShx8iDkCMMSXGB36i9PR02r17N4WHh9Pq1atp48aNtGzZMtqxYwetWbNGZluEhYVReno6NWvWTI4V177bt29TYmIijRkzhnx8fGjgwIH06NEjiomJodLSUiHkNGjQgJo0aULl5eUEQM5V1w6xWEznzp2joKAg8vf3pzNnztDy5cspOTmZli5dSuPGjaOYmBiaMGECmZiYUPPmzeVdcr0RQVk+ZcYYqyI9PZ02b95M2traFBYWRkREq1evprlz59KoUaMoODiYWrZsKSz/9OlTpWv5KSgooD59+tC9e/coKCiI5syZI8z74YcfaN68efTFF1/QV199Ra1atSIi2UsmykC6DTIyMsjPz4+WLFlCFRUVFB4eTsePHyddXV3y8vKimzdv0o4dO+js2bPUvn17eZdd61JTU2natGlUVFRErq6uNGDAAFqzZg1988035O7uTkREz549IwMDA/kWWp/k2P+IMcbqhKqPal+Vqg5uW5V0Gzg6OuLixYsAKh90uGnTJnz22Wdwc3PDiBEjhA7Qyio3NxebN2+Go6MjGjVqhFatWiEyMlLeZckNByDGmFLiA/9flH1w2zeRkpICBwcHBAYGVhvHsbi4WKWe8VZWVobQ0FBoaGjA0NAQBQUF8i5JLvgSGGNMaaWmplJAQAC5ubnRxIkTZS5t/PTTT9SzZ0+ytraWY4X15/LlyxQYGEidOnWi0NBQsrOzk3dJ9a7qNpg8ebJSXur6J6hyifPQoUNkbW0tcylYlXAAYowpNT7w/+Xy5csUHBxMVlZWFBUVRba2tvIuqd7xNlC+fl5vi+8CY4wpNScnJ1q/fj2lpqbSrFmz6MaNG/IuSW6cnJxo5cqVlJOTQ/r6+vIuRy54Gyj+rf21hVuAGGMq4fz58zRt2jTatm0btWjRQt7lyFVpaanKP+iTtwHjAMQYUxl80GOMSXEAYowxxpjK4T5AjDHGGFM5HIAYY4wxpnI4ADHGGGNM5XAAYowxxpjK4QDEGGOMMZXDAYgxxhhjKocDEGOMMcZUDgcgxhhjjKkcDkCMMaUlFotJIpHIuwzG2HuIAxBjrF5ZWlrS0qVLZaY5OjpSdHQ0AaDo6GiysLAgTU1NMjExoYkTJwrLvXz5kqZOnUqmpqbUqFEj6ty5Mx07dkyYHxsbSwYGBpSYmEh2dnakqalJ9+/fJ0tLS5o7dy6NHj2adHV1ycLCgn788UeZGr799luysbEhHR0dsrKyounTp1N5ebkwPzo6mhwdHWnDhg1kYWFBjRs3pvHjx5NYLKaFCxeSsbExGRoa0pw5c2Te99mzZxQYGEjNmzcnPT096t27N6WkpNTeBmWMvZUG8i6AMcakduzYQUuWLKHt27dT+/btKTc3VyYshISE0LVr12j79u1kYmJCCQkJNGDAALpy5QpZW1sTEVFxcTEtWLCA1q9fT82aNSNDQ0MiIoqJiaFZs2ZRREQExcfH07hx48jDw4Patm1LRES6uroUGxtLJiYmdOXKFRozZgzp6urSN998I/z+9PR0+u233ygpKYnS09Pp448/pjt37pCNjQ0dP36cTp8+TaNHjyYvLy/q3LkzERH5+PiQtrY2/fbbb6Svr09r166lPn360K1bt6hp06b1tWkZY38HxhirRy1btsSSJUtkpnXs2BFRUVGIiYmBjY0NysrKqv1cRkYG1NXVkZ2dLTO9T58+CA8PBwBs3LgRRITk5ORqv3PUqFHCa4lEAkNDQ6xevfqVdX7//fdwdnYWXkdFRUFHRwcFBQXCtP79+8PS0hJisViY1rZtW8ybNw8AcPLkSejp6aG0tFTmvVu3bo21a9e+8nczxuoetwAxxt4bPj4+tHTpUrKysqIBAwbQoEGDaMiQIdSgQQO6cuUKicVisrGxkfmZly9fUrNmzYTXDRs2JAcHh2rvXXWaSCQiY2NjevjwoTDt559/puXLl1N6ejoVFRVRRUUF6enpybyHpaUl6erqCq+NjIxIXV2d1NTUZKZJ3zclJYWKiopk6iMiKikpofT09H+zaRhjtYwDEGOsXqmpqREAmWnSvjbm5uZ08+ZNOnToEB08eJDGjx9P33//PR0/fpyKiopIXV2dLl68SOrq6jI/37hxY+H/2traJBKJqv1eDQ0NmdcikUjoIH3mzBny8/OjmTNnUv/+/UlfX5+2b99OMTEx//ger3vfoqIiatGihUw/JSkDA4Nq0xhj9YcDEGOsXjVv3pxycnKE1wUFBXT37l3htba2Ng0ZMoSGDBlCEyZMIFtbW7py5Qo5OTmRWCymhw8fUo8ePWq1ptOnT1PLli0pMjJSmJaRkfHO79upUyfKzc2lBg0akKWl5Tu/H2Os9nAAYozVq969e1NsbCwNGTKEDAwMaMaMGUKLTmxsLInFYurcuTPp6OjQ1q1bSVtbm1q2bEnNmjUjPz8/8vf3p5iYGHJycqJHjx7R4cOHycHBgQYPHvzWNVlbW9P9+/dp+/bt5OrqSnv37qWEhIR3XlcvLy/q2rUrDR06lBYuXEg2Njb04MED2rt3Lw0bNoxcXFze+Xcwxt4O3wbPGKtX4eHh5OHhQd7e3jR48GAaOnQotW7dmogqLwutW7eOunXrRg4ODnTo0CHavXu30Idm48aN5O/vT1OmTKG2bdvS0KFD6fz582RhYfFONX344YcUGhpKISEh5OjoSKdPn6bp06e/87qKRCLat28f9ezZk7788kuysbGhkSNHUkZGBhkZGb3z+zPG3p4If78YzxhjjDGm5LgFiDHGGGMqhwMQY4wxxlQOByDGGGOMqRwOQIwxxhhTORyAGGOMMaZyOAAxxhhjTOVwAGKMMcaYyuEAxBhjjDGVwwGIMcYYYyqHAxBjjDHGVA4HIMYYY4ypnP8D5Cl+Ow2FVokAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df2 = pd.DataFrame(response2.json)\n",
"df2 = df2.sort_values('username')\n",
"df2['upvotes_normalized'] = df2['total_upvotes']/df2['num_posts']\n",
"\n",
"ax = df.plot(x='username', y='upvotes_normalized', marker='o', color='green', label=\"Time 1\")\n",
"df2.plot(x='username', y='upvotes_normalized', marker='o', color='purple', ax=ax, label=\"Time 2\")\n",
"plt.xticks(rotation=45, ha='right')\n",
"plt.ylabel(\"Number of upvotes (normalized)\")\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This plot shows how some users maintain relatively consistent social media impact between the two query snapshots, whereas other users grow or decline in their influence.\n",
"\n",
"## Learn more\n",
"\n",
"This tutorial showed you how to create a Kafka topic using a Python client for Kafka, send a simulated stream of data to Kafka using a data generator, and query and visualize results over time. For more information, see the following resources:\n",
"\n",
"* [Apache Kafka ingestion](https://druid.apache.org/docs/latest/development/extensions-core/kafka-ingestion.html)\n",
"* [Querying data](https://druid.apache.org/docs/latest/tutorials/tutorial-query.html)\n",
"* [Tutorial: Run with Docker](https://druid.apache.org/docs/latest/tutorials/docker.html)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.16"
},
"vscode": {
"interpreter": {
"hash": "a4289e5b8bae5973a6609d90f7bc464162478362b9a770893a3c5c597b0b36e7"
}
}
},
"nbformat": 4,
"nbformat_minor": 4
}