docling/docs/examples/backend_html.ipynb
vaaale 5d08b749af A new HTML backend that handles styled html (ignors it) as well as images.
Note: MyPy fails.
Seems to be a known issue with BeautifulSoup:
https://github.com/python/typeshed/pull/13604

- Fixed issues with handling nested lists.
- Fixed some issues with spaces between text fragments
- Change naming of image configuration from INLINE to EMBEDDED. Also renamed corresponding class.
- Introduced constat for default image width- / height.

Signed-off-by: vaaale <2428222+vaaale@users.noreply.github.com>
2025-05-24 22:29:22 +02:00

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{
"cells": [
{
"cell_type": "markdown",
"id": "77f5bf7983ccfc35",
"metadata": {},
"source": [
"# Conversion of HTML files\n",
"\n",
"This example shows how to convert HTML files to a structured Docling Document.\n",
"\n",
"Three examples are given:\n",
"- HTML ignoring images\n",
"- HTML with images parsed as references\n",
"- HTML with images parsed inline"
]
},
{
"cell_type": "markdown",
"id": "5729820db99cacbb",
"metadata": {},
"source": "## HTML ignoring images"
},
{
"cell_type": "code",
"id": "ba735966c052d9ab",
"metadata": {
"ExecuteTime": {
"end_time": "2025-05-24T19:53:12.367346Z",
"start_time": "2025-05-24T19:53:09.291989Z"
}
},
"source": [
"from docling_core.types.doc import ImageRefMode\n",
"\n",
"from docling.backend.html_backend import (\n",
" HTMLDocumentBackend,\n",
" HTMLDocumentBackendImagesEmbedded,\n",
" HTMLDocumentBackendImagesReferenced,\n",
")\n",
"from docling.datamodel.base_models import InputFormat\n",
"from docling.datamodel.pipeline_options import PdfPipelineOptions\n",
"from docling.document_converter import (\n",
" DocumentConverter,\n",
" HTMLFormatOption,\n",
" PdfFormatOption,\n",
")\n",
"from docling.pipeline.simple_pipeline import SimplePipeline"
],
"outputs": [],
"execution_count": 1
},
{
"cell_type": "code",
"id": "86f2468b5e03bd2e",
"metadata": {
"ExecuteTime": {
"end_time": "2025-05-24T19:53:12.477140Z",
"start_time": "2025-05-24T19:53:12.474402Z"
}
},
"source": [
"def pdf_pipeline():\n",
" pipeline_options = PdfPipelineOptions()\n",
" pipeline_options.do_ocr = True\n",
" pipeline_options.do_table_structure = True\n",
" pipeline_options.do_picture_description = True\n",
" pipeline_options.table_structure_options.do_cell_matching = True\n",
" pipeline_options.generate_page_images = True\n",
" return pipeline_options"
],
"outputs": [],
"execution_count": 2
},
{
"cell_type": "code",
"id": "a428f20a1724beb3",
"metadata": {
"ExecuteTime": {
"end_time": "2025-05-24T19:53:12.527478Z",
"start_time": "2025-05-24T19:53:12.524972Z"
}
},
"source": [
"# Using the HTMLDocumentBackend to convert HTML files. Images will be ignored\n",
"doc_converter = (\n",
" DocumentConverter( # all of the below is optional, has internal defaults.\n",
" allowed_formats=[\n",
" InputFormat.HTML,\n",
" ], # whitelist formats, non-matching files are ignored.\n",
" format_options={\n",
" InputFormat.HTML: HTMLFormatOption(\n",
" pipeline_cls=SimplePipeline, backend=HTMLDocumentBackend\n",
" ),\n",
" InputFormat.PDF: PdfFormatOption(pipeline_options=pdf_pipeline()),\n",
" },\n",
" )\n",
")"
],
"outputs": [],
"execution_count": 3
},
{
"cell_type": "code",
"id": "8f11e488b6e81339",
"metadata": {
"ExecuteTime": {
"end_time": "2025-05-24T19:53:12.595349Z",
"start_time": "2025-05-24T19:53:12.571403Z"
}
},
"source": [
"from IPython.display import Latex, Markdown, display\n",
"\n",
"html_file = \"../../tests/data/html/example_08.html\"\n",
"result = doc_converter.convert(html_file)\n",
"document = result.document\n",
"markdown = document.export_to_markdown()\n",
"display(Markdown(markdown))"
],
"outputs": [
{
"data": {
"text/plain": [
"<IPython.core.display.Markdown object>"
],
"text/markdown": "## Introduction to parsing HTML files with Docling\n\nDocling simplifies document processing, parsing diverse formats — including HTML — and providing seamless integrations with the gen AI ecosystem.\n\n### Supported file formats\n\nDocling supports multiple file formats..\n\n- Advanced PDF understanding\n- Microsoft Office DOCX\n- HTML files (with optional support for images)\n\n#### Three backends for handling HTML files\n\nDocling has three backends for parsing HTML files:\n\n1. HTMLDocumentBackend Ignores images\n2. HTMLDocumentBackendImagesInline Extracts images inline\n3. HTMLDocumentBackendImagesReferenced Extracts images as references"
},
"metadata": {},
"output_type": "display_data"
}
],
"execution_count": 4
},
{
"cell_type": "markdown",
"id": "9aa94a8da08cbbf1",
"metadata": {},
"source": "## HTML with images as references"
},
{
"cell_type": "code",
"id": "e6c4ea8cf2cdf8c1",
"metadata": {
"ExecuteTime": {
"end_time": "2025-05-24T19:53:12.624815Z",
"start_time": "2025-05-24T19:53:12.621979Z"
}
},
"source": [
"# Using the HTMLDocumentBackend to convert HTML files. Images will be extracted as references\n",
"doc_converter = (\n",
" DocumentConverter( # all of the below is optional, has internal defaults.\n",
" allowed_formats=[\n",
" InputFormat.HTML,\n",
" ], # whitelist formats, non-matching files are ignored.\n",
" format_options={\n",
" InputFormat.HTML: HTMLFormatOption(\n",
" pipeline_cls=SimplePipeline, backend=HTMLDocumentBackendImagesReferenced\n",
" ),\n",
" InputFormat.PDF: PdfFormatOption(pipeline_options=pdf_pipeline()),\n",
" },\n",
" )\n",
")"
],
"outputs": [],
"execution_count": 5
},
{
"cell_type": "code",
"id": "4f088a6b02ea54bd",
"metadata": {
"ExecuteTime": {
"end_time": "2025-05-24T19:53:12.679786Z",
"start_time": "2025-05-24T19:53:12.671326Z"
}
},
"source": [
"from IPython.display import Latex, Markdown, display\n",
"\n",
"html_file = \"../../tests/data/html/example_08.html\"\n",
"result = doc_converter.convert(html_file)\n",
"document = result.document\n",
"markdown = document.export_to_markdown(image_mode=ImageRefMode.REFERENCED)\n",
"# Does not show otherwise. Not sure why\n",
"markdown = markdown.replace(\"file://\", \"\")\n",
"display(Markdown(markdown))"
],
"outputs": [
{
"data": {
"text/plain": [
"<IPython.core.display.Markdown object>"
],
"text/markdown": "## Introduction to parsing HTML files with Docling\n\nDocling\n\n![Image](https://docling-project.github.io/docling/assets/logo.png)\n\nDocling simplifies document processing, parsing diverse formats — including HTML — and providing seamless integrations with the gen AI ecosystem.\n\n### Supported file formats\n\nDocling supports multiple file formats..\n\n- Advanced PDF understanding\n- PDF\n\n![Image](../assets/pdf.png)\n- Microsoft Office DOCX\n- DOCX\n\n![Image](../assets/docx.png)\n- HTML files (with optional support for images)\n- HTML\n\n![Image](../assets/html.png)\n\n#### Three backends for handling HTML files\n\nDocling has three backends for parsing HTML files:\n\n1. HTMLDocumentBackend Ignores images\n2. HTMLDocumentBackendImagesInline Extracts images inline\n3. HTMLDocumentBackendImagesReferenced Extracts images as references"
},
"metadata": {},
"output_type": "display_data"
}
],
"execution_count": 6
},
{
"cell_type": "markdown",
"id": "a6017dc49bf33601",
"metadata": {},
"source": "## HTML with images inline"
},
{
"cell_type": "code",
"id": "b1112e9c386805b2",
"metadata": {
"ExecuteTime": {
"end_time": "2025-05-24T19:53:12.725721Z",
"start_time": "2025-05-24T19:53:12.722455Z"
}
},
"source": [
"# Using the HTMLDocumentBackend to convert HTML files. Images will be extracted as references\n",
"doc_converter = (\n",
" DocumentConverter( # all of the below is optional, has internal defaults.\n",
" allowed_formats=[\n",
" InputFormat.HTML,\n",
" ], # whitelist formats, non-matching files are ignored.\n",
" format_options={\n",
" InputFormat.HTML: HTMLFormatOption(\n",
" pipeline_cls=SimplePipeline, backend=HTMLDocumentBackendImagesEmbedded\n",
" ),\n",
" InputFormat.PDF: PdfFormatOption(pipeline_options=pdf_pipeline()),\n",
" },\n",
" )\n",
")"
],
"outputs": [],
"execution_count": 7
},
{
"cell_type": "code",
"id": "c37aa8c8afcacd16",
"metadata": {
"ExecuteTime": {
"end_time": "2025-05-24T19:53:14.244575Z",
"start_time": "2025-05-24T19:53:12.770749Z"
}
},
"source": [
"from IPython.display import Latex, Markdown, display\n",
"\n",
"html_file = \"../../tests/data/html/example_09.html\"\n",
"result = doc_converter.convert(html_file)\n",
"document = result.document\n",
"markdown = document.export_to_markdown(image_mode=ImageRefMode.EMBEDDED)\n",
"display(Markdown(markdown))"
],
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Could not load image (src=https://github.com/docling-project/docling/tree/main/docs/assets/pdf.png): cannot identify image file <_io.BytesIO object at 0x7269dfa022f0>\n",
"Could not load image (src=https://github.com/docling-project/docling/tree/main/docs/assets/docx.png): cannot identify image file <_io.BytesIO object at 0x7269dfa4b920>\n",
"Could not load image (src=https://github.com/docling-project/docling/tree/main/docs/assets/html.png): cannot identify image file <_io.BytesIO object at 0x7269dfa4b9c0>\n"
]
},
{
"data": {
"text/plain": [
"<IPython.core.display.Markdown object>"
],
"text/markdown": "## Introduction to parsing HTML files with Docling\n\nDocling\n\n![Image](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABAAAAAQACAYAAAB/HSuDAAABe2lDQ1BJQ0MgUHJvZmlsZQAAeJx1kc8rRFEUxz9myK8RRbGwmBhWRmOU2CgjoaRpjDLYzDzzQ82M13tPkq2ynaLExq8FfwFbZa0UkZL1rIkNes6bNzWTzLmdez73e+853XsuOMJpJaNX+yCTNbTQZMC9EFl01+app50GuumKKro6FgzOUNE+H6my4r3XqlX53L/WuBLXFaiqEx5VVM0QnhKe2TBUi/eE25RUdEX4QrhPkwsKP1h6zOa8xUmbvy3WwqFxcLQIu5NlHCtjJaVlhOXleDLpdaV4H+slrnh2fk5il3gnOiEmCeBmmgnGGWKAEZmH8OKnX1ZUyPcV8mdZk1xFZpVNNFZJksKgT9R1qR6XmBA9LiPNptX/v33VE4N+u7orADWvpvneA7W78JMzza8T0/w5BecLXGdL+WvHMPwheq6keY6geRsub0pabB+udqDjWY1q0YLkFHckEvB2Dk0RaL2DhiW7Z8V9zp4gvCVfdQsHh9Ar55uXfwFwm2fq1uYCrAABAABJREFUeJzs3XV8XGXWwPHfM3FrUnc3SqEUp7y4dCm6wFKkuMPC4u5OcXdYdqE4S/HFdnEtsFAoBVrqLnHPzHn/uJnkzs0kjczMM3K+n890kpk79557M2nmnMdAKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaVUSjK2A1BKKaWiRUQMkAf0AXoD+UBNmFsVUGKMEUuhKqWUUkpFnRYAlFJKJTQR8QEjgM0bb5sC/WlO+rPbuati4Bdgruv+J2PMwgiHrJRSSillhRYAlFJKJRQR6QH8CdgOJ+GfCBRE8ZC/Aa8CM4GvjDH+KB5LKaWUUipqtACglFIqrjV2498I2A/YF/g/wGcpnNXA68CTxphPLcWglFJKKaWUUkolBxExIrK9iNwlIvMlPr0vIjvavlZKKaWUUkoppVTCEZECETlVRH6wm9t3iBYClFJKKaWUUkqp9hCRTUXkAREpt5vLd8k/RSTP9rVUSimllGqNzgGglFLKCnHG9k8BLsUZ158M5gCHGGPm2A5EKaWUUkoppZSyTkT+T0Q+tttgHzWVIjLN9jVWSimllPKyNYuyUkqpFCROV//XgE+BZB03nws8LSLX2Q5EKaWUUspNhwAopZSKOhEZBlwDHEVq/e052RjzqO0gbBKRHKAXUAQ0AHWuW63ra78xRiyFqZRSSqWEVPoQppRSKsZEJA34G3AjkG05HBv8wD7GmHdsBxJJ4kx2OB4YDvTESfDdN/djue3dLc1FgRpgKfAHsKDxFvx6kTGmNlLnopRSSqUSLQAopZSKChEZBfwd2MF2LJaVAzsYY360HUhHiUgGMBrYtPG2SeP9cOx9hhBgGc2Fgd9whpR8bYypthSTUkoplRC0AKCUUiqiRMQH/BWYDuRYDideLATGGWNqbAfSGhEpxFmNYQLNyf5GQKbNuDqgDvga+Ljx9rkxptxuSEoppVR80QKAUkqpiBGREcATwM62Y4lD5xhj7rIdRJCIZALbAXsAewLbkFyTAweA72guCHxqjFlnNySllFLKLi0AKKWUiggROQSny3+e7Vji1FpgpDGmzMbBRcTgtOrv0XjbmdT7WX0KPA28aIxZbzsYpZRSKta0AKCUUqpLGhPLy4FrbceSAK4xxlwd7YM0/kxygD7ALjQn/X2jfewEUQe8iVMMeFMnFVRKKZUqtACglFKq0xqXeHscONx2LAmiAhgJlODMjp/nud/QYx15jWqfEuBFnGLAp8aYgN1wlFJKqejRAoBSSqlOEZF+wExgW8uhJBpB//7Gq0XADOAJY8x828EopZRSkaYfQJRSSnWYiGwGvA4Mth2LUlEQAJ4BbjTG/GI7GKWUUipStACglFKqQ0RkJ+AtUm8COZV6BHgJuMEY84PtYJRSSqmu0gKAUkqpdhORbYH3gXzbsSgVY68D1xtjvrYdiFJKKdVZWgBQSinVLo3d/j8EiuxGopRV7+IUAj6xHYhSSinVUVoAUEoptUEishHwMdDbdixKxYmPgX8C3wM/61KCSimlEoEWAJRSSrVJREYAnwADbMeiVJxqAOYA/8MpCPwP+J8xpsReSEoppVRLWgBQSinVKhEZhJP8D7McilKJaCHNBYHg/VJjjNgLSSmlVCrTAoBSSqmwRCQb+AKYaDkUpZLJOhp7CNBcFPjVGNNgLySllFKpQgsASimlwhKRh4BTbMehVAqoAWbTXBD4AphtjPHbDEoppVTy0QKAUkqpFkTkCGCG7TiUSmFlwOc4Q3A+Bb42xtTYDUkppVSi0wKAUkqpEI0z/s8C8mzHopRqUgd8g1MM+AT43BhTbDckpZRSiUYLAEoppZqISC7wFbCJ7ViUUm0S4CeaCwKfGGOW2g1JKaVUvNMCgFJKqSYi8gRwnO04lFKdsojmIQOfAHONMQG7ISmllIonWgBQSqkUJyIGGAMcBVxmORylVOSsAz7DKQj8B/heCwJKKZXatACglFIpSEQKgN2AvRpvw6wGpJSKhdXAO8DbwLvGmHWW41FKKRVjWgBQSqkU0NjKvynNCf8OQIbVoJRSNgWAr4F/4xQEZmnvAKWUSn5aAFBKqSQlIj2APWhO+vvbjSjyysrKmDt3Lr/88gtz585l7ty5VFZWkp2dTXZ2Njk5OWRnZ9O7d2+23357/u///o/CwkLbYSsVj9YC7+IUA94xxqyxHI9SSqko0AKAUkolCRFJA7akOeHfFvBZDSrCAoEAH330Ec888wxvv/02y5Yt69DrfT4fm266KTvuuCNTpkxhypQpGKN/CpXyEJylQIO9A742xvjthqSUUioS9FOPUkolMBHpC0wGpjTe97QbUXTMmjWLZ555hueff57ly5dHbL+bbLIJl156KYceeig+X1LVSpSKpPU4vQP+DfzbGLPKcjxKKaU6SQsASimVYERkBHBw421by+FE1cyZM7n88sv5+eefo3qc0aNHc/HFF3PsscdqIUCpDfsOpxjwKvCNMUYsx6OUUqqdtACglFIJQETG4CT8fwG2sBxO1M2aNYvzzjuPjz/+OKbHnTx5Ms899xzdu3eP6XGVSmCLgBcbb1oMUEqpOKcFAKWUilMisjFOwv8XnBn8k97ixYu55JJLePbZZxGxk0eMHDmSmTNnsskmm1g5vlIJTIsBSikV57QAoJRScaJxqb4JOAn/wcA4uxHFjohw8803c+2111JTU2M7HPLy8njyySf5y1/+YjsUpRKVFgOUUioOaQFAKaUsakz6t6S5e/8ouxHFXllZGUcddRSvvfaa7VBCGGOYOXMm+++/v+1QlEp0i4CXgBfQYoBSSlmlBQCllIoxEfHhTN4XTPqH2o3Injlz5nDggQfy22+/2Q4lrKKiImbNmsXIkSNth6JUstBigFJKWaQFAKWUihERmQgcAxwCDLQbjX0vvfQSxx13HBUVFbZDadNmm23GF198QU5Oju1QIqqiooLa2tpWn8/JySE3NzeGEakUpMUApZSKMS0AKKVUFIlIH2AaTuK/meVw4oKIcMkllzB9+nTbobTbMcccw5NPPmk7jHYRERYuXMhPP/3Er7/+ysqVK1mzZg2rV69uuq1Zs6bN5D8oJyeH3r17N9169epF79696devH2PHjmXjjTdmxIgRpKWlxeDMVJILzhnwpDEmuut+KqVUCtMCgFJKRZiIZAL7AMcCewPpVgOKM2effTZ333237TA67P3332f33Xe3HUaI8vJyvvnmG2bPns1PP/3E7NmzmTNnDuXl5TGLISsrizFjxjBu3Dg23nhjNt54Y7bbbjsGDx4csxhU0vkaeAJ4zhhTajsYpZRKJloAUEqpCGiczG9znKT/CKCn1YDi1LXXXstVV11lO4xO+dOf/sS///1vqzHU19fz5Zdf8v777/P+++/z9ddf09DQYDWm1gwdOpSddtqp6TZmzBjbIanEUw28jFMM+MgYE7Acj1JKJTwtACilVBeISD+cLv7HArpwfBvuu+8+zjzzTNthdMkPP/zAhAkTYnrMefPm8frrr/P+++/z8ccfx/2cCa3p168fO+64I3vttRf7778/vXr1sh2SSiwLgL8D/zDGLLYdjFJKKaWUShEikiUifxGR10WkQdQGPf3009I4wVdC34466qiYXK9169bJAw88INttt531c47GLS0tTXbbbTe57777ZNmyZTG5pippBETkHRGZKiJZbf5nrZRSqgXtAaCUUu0gThf/rXAm8zsC6G43osTxxhtvcOCBB8ZtV/WOyMjI4I8//mDQoEER33ddXR1vvvkmTz31FG+++SZ1dXURP0Y8MsYwadIkDjroIA499NCoXFuVtNYDM4AnjDH/sxyLUkoppZRKdCLSQ0TOE5GfLbZ4JaxZs2ZJdna29RbnSN7uvffeiF6jJUuWyDnnnCM9evSwfm62b2lpabLvvvvKG2+8IX6/P6LXWSW970TkDBHpgVJKKaWUUh0hIhNF5DERqbb6kTaBVVVVyUYbbWQ9qYz07eijj47I9Zk7d64cd9xxkpGRYf2c4vE2dOhQuf7662XFihURud4qZdSKyHMiMllEdH1KpZRSSikVnohkishhIvKpzU+vyeJvf/ub9SQyGrdx48Z16brMmjVLDj74YPH5fNbPJRFuGRkZcvDBB8vHH38coXemSiGLReRiEdFVWZRSSimllENEBojI1SKiTY0R8t577yXFpH/hbj6fT8rKyjp8Tb744gvZc889rcefyLeddtpJ3n///Si8Y1WSqxKRR0REV2pRSimllEpFImJEZAdxuorW2/xkmmyKi4tl0KBB1pPFaN7++9//tvt6rFixQo4++uikLYjYuG2//fby9ttvR+9NrJLZ+yKyr4j4UEqpFKT/+SmlUoqI5IrIicD3wCfAoUC63aiSyxlnnMHSpUtthxFVs2bN2uA29fX13H777YwdO5Z//vOfiEgMIksNn3/+OVOmTGGbbbbh9ddftx2OSiy7A68Dv4rI30SkwHZASikVS1oAUEqlBBEZISK3AUuBR4HNLIeUlF588UVmzJhhO4yoKykpafP59957jwkTJnD++edTVlYWm6BS0DfffMP+++/PDjvswHfffWc7HJVYRgF3A8tE5E4RGWE7IKWUigUtACilkpaI+ERkLxF5A5gHnAd0txxW0iotLeW0006zHUaTYX0yY37MFStWcNBBBzF58mTmzp0b8+Onqs8++4ytt96aE088kdWrV9sORyWWAuBsYJ6IvCoiu4mIsRyTUkpFjRYAlFJJR0RyROQ0YC7wNrAPoB/oouyOO+5g3bp1tsOgZ0Eadxzfn29uGxnT477++utMmDCBV155JabHVY5AIMDjjz/OmDFjuOOOO6ivr7cdkkosBtgf+AD4QUROEJEcyzEppVTEaQFAKZU0RKRQRC4GFgAPAKMth5QyiouLueuuu6zGkJPp4+KDezP/4TGcs39PKmr8MTluTU0Nf/3rX9l///1Zu3ZtTI6pWldaWsp5553HhAkT+Pe//207HJWYNgUeA5aIyA0iMtB2QEopFSlaAFBKJTwR6SsiNwGLgZuAvpZDSjm33Xab1bHu+25VwG8Pjuamo/pSmJsGwPry6BUAghP6/fTTT2y99dY88MADUTuW6py5c+cyZcoUjjnmmA3O2aBUK3oClwILReRZEdnadkBKKdVVWgBQSiUsERkuIvcDC4GLgW52I0pNa9eu5Z577rFy7NwsHw+eOoDXLx/KoJ4ZIc+ti2IBAOC+++5j66235qefforqcVTX/POf/2STTTbhnXfesR2KSlzpwGHA1yLyrojsaDsgpZTqLB0Tq5RKOCKyCU7CfxiQZjmclHfhhRdy6623xvy4W4/O4elzBjFmQFbY55/7pJTDb18SlWN369ZNZ/dPQCeffDK33347+fn5tkNRie8j4DrgP8YYXeNTKZUwtAeAUiphiMj2IvI6MBuYhib/1q1atYr7778/5sc9e7+efH7ziFaTf4huDwBN/hPTI488woQJE/joo49sh6IS387A+8BnIrK3rhyglEoUWgBQSsU1ETEiMkVEPgI+A/a1HZNqdvPNN1NVVRWz4xkDtx3XjztP6E96Wtuftxv82iinWlqwYAG77rorq1atsh2KSg6TgDeBb0TkzyKin62VUnFN/5NSSsUlEUkTkUOB74C3gJ0sh6Q8Vq9ezUMPPRSz42WkGZ46exDnHdCrXdt3y9U/cSq8Pn36UFVVhd8fm5UiVErYEngF+F5EpoqI9lBTSsWldNsBKKWUm4hkAccAFwKxXchddciMGTOoqamJybFys3y8cskQJk9s/9jtbrn6+VuFt2rVKkaMGEFGRgbDhw9n1KhRjBw5klGjRjFq1CjGjh3L8OHD8fm0iKQ6bALwPDBXRG4AnjPGNFiOSSmlmuh4JaVUXBCRdJzE/ypgsOVwVDtsscUWfP/991E/js/Avy4ewgHbdmyRh/d/qGDPqxZGJ6gE5DMwtE8mYwZk0iM/jbxsn3PLCr0HKKn0U1Lpp7jCuZVUBiiu9LOqpIGFq+uQFBhdUVBQwGabbcbEiRObbuPHjyc7O9t2aCqxzAduBJ42xtTZDkYppbQAoJSyqnG85FTgWmC05XBUO82ZM4fx48fH5Fh3ntCfs/fr2eHXffN7NdtcMD8KEcW3rAzDliNz2GhQFmMHZjFmQCZjBmQxsl8mWRld/7NfURNg9qIaflxYww8LavhxUQ2zF9VQVhWIQPTxLT09nXHjxoUUBTbbbDN69uz4+1OlnMXAzcATxpha28EopVKXFgCUUlY0zpi8D3ADTpdJlUAuueQSbr755qgf54x9enLvSf079dpfl9Wy0V9/j3BE8cdnYOKIHHafkMcem+Wz48a55GTGvuv6z4trmflVGa98Wca386tjfnybBg8ezMSJE9l8882bCgPDhg3DGP2YpVpYDtwCPGqMid0Mqkop1Uj/MimlYk5EdsXpErmd7VhUx4kIw4YNY/HixVE9zq6b5vHeNcNI83XuT9W6cj+9jvolwlHFh97d0jloUjf22CyfXTfNo2dBfM13sGRtPTO/KmPmV2V8/HNVSq7IUFhY2DSEYPPNN2fSpEmMGTNGiwIqaBVOz7dHjTH1toNRSqUO/SuklIoZEdkGp8V/D9uxqM778MMP2XXXXaN6jLxsH7PvHsXwvpmhT6SlQ1YeVJW2az+DTviVZeuS47O1MbDHZvmctGd3Dti2G5npifEnfFVJA3e8upYH3l5PRU3yDxNoS58+fdhhhx3YYYcd2HHHHZk4cSLp6Tofc4r7HbgUeNkYk3qVMqVUzCXGpwelVEITkU2B64ADbMeiuu7EE0/k8ccfj+ox7j6xP3/bN8y46p6DoK4Gyte2az8H3LiI174uj3B0sTWwZwbH7V7ECXt0Z1ifzA2/IE6tr/Bz9+vruOeNdZRU6vJ7APn5+UyaNKmpILDtttuSm5trOyxlx1fAhcaYj20HopRKbloAUEpFjYiMAq4GjkD/v0kKNTU19OvXj9LS9rXAd8YO43L5+MYRtOgpbXwwYgtYtwRKVrVrX9c+v5qrnl0d+SBjYMuROVx1WB/23jK/08Mg8PnAl+Zcu6Z7n+s+rfHeQEMDNNSBv865D0Sntb6sKsD9b63j1plrKa7QQoBbRkYGW265JTvuuGNTT4EePXrYDkvF1hvAxcaYn20HopRKTvqBXCkVcSIyCLgCOB7Q/q1J5MUXX2Tq1KlR278x8OPdo9hkSJil1rr1hv6jYM0iWL+8Xft7c1Y5+16/KMJRRtfQ3hnceFRfDt+xqGURpC3pGZBdANl5kJXrDJXIyOp8IAG/UwgIudVDfS3UVkF9Tef3DSxbV8+Rdy7lw58qu7SfZDd+/PimgsCOO+7IkCFDbIekoi8APAlcZYxZajkWpVSS0QKAUipiRKQ3cDHwV6ALmYeKRyLCVlttxXfffRe1Y/x52268ckkrCc6wCU5Su24prF3Srv2tLG6g/3FzIxhh9BTlpXHZIb05c5+e7V+uLzMH8ntAfnfIKYhugF6BBqipdG61jfd1HZv9PyBw88truOrZ1Sk5UWBnDBkyhB133JE999yTvfbai759+9oOSUVPDXAXMN0YU2I3FKVUstACgFKqy0QkBzgXJ/nPtxyOiqAlS5bw/vvv88EHH/DGG29Etes/wNe3jmTr0Tktn8jtBoPHO18Xr4DVC9u9z3ifCDAz3XD6lB5ccWgfeuS3YzZ/Y6CgF/QY4LT0x5OA3+kdUFPRXBio3fBKZ1/9Vs0Rty/hj1V1MQgyuWy55ZZMmTKFvffem2222Ya0tPhaEUJFxHrgeuABY0yt7WCUUolNCwBKqU4TEQMcDNwGDLUcjoqA4uJi/vvf/zYl/b/99lvMjr3HZvm8d82w8E8O3Mhp5QYoXQ0r57d7v6c8sJxH3l3f9QCjYETfTF68cDBbjAxT9PDy+aCwL3Tv37Wu/dEiAnVVUFPVnPjXVoG/fcWXsqoAU65dyOdzdWn0zurRowd/+tOf2HvvvfnTn/5E7969bYekImshcDnwrDEmtZfUUEp1mhYAlFKdIiITgbuBnSyHorpARJg7dy4zZ87k1Vdf5euvv0bETlfs1y8fyr5bhenGnp4BI7dq/r66DBa3f36sj36uZJfLFkQgwsg6cLtu/P1vAynMbUeLbV4R9BsJ6XGyCkDAD9XloYl+XbVTBOiC4go/O1zyB3OWaCNnVxlj2Hrrrdl7772ZMmUKW221FT6fz3ZYKjK+By4yxrxnOxClVOLRAoBSqkNEpA9OV8QT0f9DEpLf7+fLL7/k1VdfZebMmfz++++2Q6Igx8eaf44LP/a9sC/0G9H8faABfv+m3fsWgSEn/srSOBkGkJFmuOXYfpy9X5hlDr18adBnGBT2iXpcG1RbCZUlUFECNeVdTvZbs2RtPdtf9Efc/LySRe/evdlrr72YMmUKkydPpmfPdrz/VLx7D6cQ8L3tQJRSiUM/vCul2kVEMoEzgSuBbpbDUR1UXV3NBx98wKuvvsprr73G6tXxtTTeoTsU8tz5g8M/OWgjyOse+tj8b51Z6dvpgidXctvMtV2IMDIG98rghQsGs93Ydozdz86HgWPttfoH/FBZCpXFTuLfgevdVXOW1LLjJX+wXpcJjAqfz8d2223XNHfAxIkTtXdAYnsKpxCwwnYgSqn4pwUApVSbGsf57wvcDoy2HI7qgPXr1/Pmm28yc+ZM3nnnHSor43e5tefOH8yhOxS2fMKXBqO2ctatd1s610lM2+n7P2rY4tx5XYyya7YencPbVw6jZ0E7uvznFjrzHsQ6KfM3QNkaqFjvdPG3NBxk8Zp6Lnt6FU9/VGLl+KmmX79+HHzwwUydOpUddthBiwGJqRy4CrjPGKPdZ5RSrdICgFKqVSIyHrgT2NN2LKp9Fi5cyKuvvsqrr77Kxx9/jN8f/y2oxkDJjI3plhsm6SjoAQPGtnx8zWJYv6xDx9n4jN/5ZamdseUThmXz4fXD6d6eWf4LekL/0c6FiZXqcihZCeXrQezMLbZoTT0vflbKi5+V8vXvHVtOUEXOgAEDOOSQQzj00EPZdttttRiQeH4C/mqM+dh2IEqp+KQFAKVUCyLSA7gGOA3QNaXi3OzZs3n55ZeZOXMmP/zwg+1wOmxE30zmPzwm/JP9R0G3MDOZl62FFR2bu+D+t9ZzxiPLOxFh14wZkMUnNw2nT2H6hjcu6AUDYtTRJhBwWvtLVrZrqb5oWLi6jhc/K+PFz0v5RpP+uDN48GCmTp3KoYceylZbbYWJZVFKddXTwIU6LEAp5aX/kyulmohIOnAqcC3QfQObK4uWLFnCM888w4wZM5g9e7btcLpkv60LeO2yMKtIGuPM/p8WJnGuq4YF/+vQceoahNGn/cbiNbHrHTu0dwaf3DSCwb0yNrxxVh4M3aTlcIdIq62CklVO8h+IfQ+RBavqePHzMl78rJRZ8zTpTxTDhw9vKgZMnDhRiwGJoRxn3p77jDENtoNRSsUH/d9bKQWAiOwJ3AVsbDkU1YqSkhJeeuklnn76aT7++GNry/VF2kUH9ebmo/u2fCIrF4Zt1voLF/zPKQR0wGPvFXPS/R0bOtBZ/bun88lNIxjZrx2T+KWlw9AJkJEVvYBqKmDNIqgqi94xWvHHqrrG7v1lfDtfk/5EN3r06KZiwCabbKLFgPg3GzhDhwUopUALAEqlPBEZBNwL/NlyKCqM2tpa3nrrLWbMmMHrr79OXV3sZmKPlSf/Nohjditq+UR+D2cW/NZ0Yh6ABr8w7ozfmbciutexIMfHl7eMZOPB7UzoB42DvKLoBFNf61yr8tiuglDvF576bwn3v72e7zTpT1rjxo3j0EMPZerUqYwbN852OKptTwMXGGNW2g5EKWWPFgCUSlEikoYzxv8mIN9yOMolEAjw6aefMmPGDF544QVKSkpshxRVMy8ZwgHbhllZsnt/6DOs9RfWVMCijg9/mPFRCUfeubTDr+uIB04dwGl79Wjfxt37QZ/hkQ8i4Id1y6B4RUwn9qutFx5/v5hb/rWGRTEcbqHs23TTTZk6dSrTpk1j+PAovKdVJJThDAu4X4cFKJWatACgVAoSkQnAo8A2tmNRzX7++WdmzJjBjBkzWLx4se1wYuatK4cyZYuClk/0GeYUAdoy/9sOr08fEJhw1u/8vDg6KwLsPD6P/14/vH2T+Kelw/DNw89z0BUlq2DtEvDHLgGvqg3w0L/Xc9vMtawo1rwi1e2xxx6cdNJJHHDAAWRlRXFoi+qs2TirBXxiOxClVGxpAUCpFCIiuTiV//PR2f3jwvLly3n22Wd5+umn+d///mc7HCvev3YYu08I0wll4FhnGEBbVi1wZrHvoH9/V8GUaxd2+HUbkpvl48e7R7Vv3D+0r8jREZUlzjj/GM7qX1YV4L631nHna2tZWxb/y06q2OrZsydHH300J554IhtvrFPMxKGncFYL0GEBSqUILQAolSIaJ/l7CBhhO5ZU5/f7eeutt3jooYd4++23k2Yyv8765KYR7DAut+UTwyY4M+O3paoUlszp1HFPeWA5j7y7vlOvbc3tx/Xj3AN6tW/jzGwYNpH2dRXYgIAfVv3hLI8YI+sr/Nz12jrufXMdJZWa+KsNmzRpEieddBKHHHII+fk68iyO6LAApVKIFgCUSnIi0hu4AzjSdiypbvny5Tz++OM8+uijLFmyxHY4caPVIQCjtm5f1/hOrAYAUFkTYLOz5zF/ZWQmBNx2TA6fTx+Jr71/WQeMgYKeXT9wbSUs/w3qarq+r3ZYVdLA7a+u5cG311NRE7u5BVTyKCgo4PDDD+fEE09kq6220lUE4sePwAnGmFm2A1FKRY/+j6tUkhIRAxwD3A60czYyFWmBQIAPPviAhx56iFdffRW/X1tKvR4+fQAnTw7zFh2xRfuWxStdAyvnderYn8+tYqdLF+APdK0XRprP8OPdo9o/6396JozcskvHBKB4pdPlPwaT/FXXBbjmuTXc88Y6qus08VeRMWHCBE488USmTZtGjx76pyoO+IFbgWuMMbGpKiqlYspnOwClVOSJyGjgA+DvaPJvxdq1a7ntttsYO3YskydP5l//+pcm/61Y3NpM8Q3tnKSvsFf7CgVhbL9RLhce1M4u+23Yd+uC9if/AIV9unbAQAMs+xVWL4hJ8v/e/yrY5Mx5TP/XGk3+VUT9+OOP/O1vf2PAgAFMmzaNDz/8MOWHRVmWBlwMfCci29kORikVeVoAUCqJiEimiFyGM7vvrrbjSTUiwqeffsqRRx7JwIEDueCCC5g3r3Mt06mk1QJAXXtn6TfQY0Cnj3/N4X2YODy7068H2r/kHwCmawWA6nJY+CNURHb+gnDWlvk56s6lTL56IX+sisxQCaXCqa2t5ZlnnmHXXXdlzJgx3HzzzaxYscJ2WKlsHPCZiNwqIjm2g1FKRY4OAVAqSYjI9sAjwHjbsaSa0tJSnnrqKR566CF+/vln2+EknK1H5/D1rSNbPtFzEPQa3L6dSAD++A4aOrfs3ZwltUy6aD5lVR1v3R7RN5N5D41p/1x+eUUwaFyHjwPA+uWwdjHEoIV0xkclnP34Cp3ZX1mTlpbGQQcdxLnnnst222ljtEW/AccbYz6zHYhSquu0B4BSCU5ECkXkAeBTNPmPqW+//ZaTTjqJAQMGcOaZZ2ry30nfza+htCpMklnf3h4AgPF1aTm9jQdn8fJFQ8hI63hd/JS9enRsIv/Otv6v+qNxvH90k//qugDH3bOMI+9cqsm/ssrv9/Piiy8yadIktt9+e1566SUaGnSSegvGAJ+IyF0isoGlWZRS8U4LAEolMBHZDae7/2loj56YCH4g3Xbbbdlqq6147LHHqKqK3ZrrycgfED76Kcw17EgBAKCof6fnAgDYY7N8HjtjYIdek5luOH737u1/gTFOD4COWjEPSlZ1/HUd9OuyWra94A+e/E9x1I+lVEd88cUXHHLIIYwePZq77rqLsrIy2yGlGgOcBfwgIjvbDkYp1XlaAFAqAYlIjojchTPRXzv7SKuuqKqq4v7772fMmDFMnTqVr7/+2nZISeWDHytaPlhb4axv314+H/QNM5SgA47etYjrjujb7u3/sn0hvbqltf8A2fng68D2Is4Sf2Vr2v+aTnr+01K2Pn8+sxfpxN8qfi1cuJBzzjmHwYMHc/7557N48WLbIaWakcCHInKfiOTbDkYp1XFaAFAqwYjIVsB3OJV4FWVr1qzhqquuYsiQIZxxxhn88ccftkNKSu98H6YAEAhA+dqO7SivsMsz7F8+tXf4ZQnDOGlyB1r/AXIL27+tCCz/FcrXdewYHSQC5z6xgsNuW0J5tc7wrxJDWVkZt99+OyNGjOCwww7Tomzs/RWYLSK72w5EKdUxWgBQKkGISIaIXAl8AWxkO55kN2/ePE477TSGDBnCtddey7p10U3CUt2vy2r5+OfKlk+UdqLlu89QSM/sUjwPnNqffbYqaHOb9DTDpLG5Hdtxe7v/SwCW/QIV0e2KX+8Xpt2xhDtf0/e3Skx+v5/nn3+ebbfdlh122EGXXI2tYcD7IvKQiHSzHYxSqn20AKBUAhCRscBnwDVAuuVwktqXX37JwQcfzJgxY3jooYeoqdHu0LHywNthlrWrLofKko7tyJcOfYd3KZY0n+H58wfzf+NaT/DHDcoiK6MDU2/40iCnHT1mA35Y+gtUlrZ/351QWRNgv+sX8ewn0T2OUrHy2WefcfDBBzN69GjuueceysvLbYeUKk4BfhKRybYDUUptmBYAlIpjIuITkTOB/wFbWw4naQUCAV577TV23HFHJk2axL/+9S8kBsusqVD/+qKMVSVhZvhevbDjM9/n94CCnl2KJy/bx7tXD2PKFuF7AmwxMrtjO8wpYINzdQaT/6roTnC2rtzP7lcuCD/0QqkEt2DBAs466ywGDx7MhRdeyJIlS2yHlAoGA++IyGMi0oGxTkqpWNMCgFJxSkQGA+8A9wAdzDRUe9TU1PDYY48xfvx4DjjgAD799FPbIaW0er/w0L/D9AKoq4b1yzu+w74jIDOnSzHlZvl49bIhHLFTUYvnthjRwX1ntWO4wPLfnV4PUbSu3M9Ol/7BV79VR/U4StlWWlrKrbfeyvDhw5k2bRpz5syxHVIqOAFnboCdbAeilApPCwBKxRkRMSIyDWd5vz1sx5OMiouLufHGGxk2bBgnnXQSc+fOtR2SanT7q2tZWRymF8C6JR3vEp+WDoM2cu67ICPN8PQ5gzhjn9AeBVuM7GABYEPFiDWLoTK6Y/6ragPsc91C5izp4BKLSiUwv9/PM888wyabbMLhhx+uhYDoGwz8V0SuFhEdtqhUnNECgFJxRER6AS8ATwPahS7CSkpKuPrqqxk2bBiXXXYZq1ZFf1111THl1QEueSrMz0UEVvwGdR2ckyEjGwZuBKZrf+6MgXtP6s9VhzkrDPgMTBzewY45bRUAytfB+mVdiHDDGvzCX6Yv0ZZ/lbJEhOeee45NNtmEI444gl9++cV2SMnMB1yFs2TgUNvBKKWaaQFAqTghIvvgtPr/xXYsyaasrIzrr7+e4cOHc80111BWFt3x1apr/vHfYr7+PUyS6m+ApXM6XgTIKYB+IyMS29WH9eHek/ozZmAW+dkd/BPa2hCA2kpYOa/rwbVBBI6/dxlvf6eToiklIjz77LOMHz9eCwHR93/A/0REP9soFSc6MH2xUioaRCQfuAM4yXYsyaaiooL777+fW265hfXrw4wtV3Frm9E5fD59BGm+MH+m0jKcrv3Z7ZhR323dUlgbmcnAfl1Wy9iBWe1/QXomjNyy5eP+Blj0I9RHt0v+vBV1PPdJKfV+od4v1NU79/UNQl1D42MN4b6HuoYA9X7a9RqdO1MlImMMhx9+OFdccQUbbaSr7EbRo8DZxpgq24Eolcq0AKCURSKyJfA8EJnmSQVAVVUVDz74INOnT2fNmk6sI6/iwkUH9ebmo/uGf9Lng36jOj7T/8p5UGrhPZFbCIM39jwosGRO1Gf8j6UGf2jxoLI2QEmln9JKP6VVYb6u8lNa2fx1SWWA9RV+1pf78Qe0mqBiy+fzNRUCxo4dazucZPULcLgx5gfbgSiVqrQAoJQFImKAvwK3A5mWw0kaNTU1PPzww9x00006vj8JGAOvXDyEA7bt1vpG3XpD32Hg68A8Uyv/gNIYvz+694c+w0IfW70AilfGNo4E4Q8IS9c1sGBVXeOt3rlfXccfq+pYWdygvQ1U1GghIOpqgQuA+4wx+pusVIxpAUCpGGtcH/dx4GDbsSSL2tpaHn/8cW644QaWL+/EcnEqbhXmpvHtHSMZ2a+NOll6JvQbAXnd27/jtYthXXQn3QvRf5RTrAgqXQ0r58fu+Emmtl5YtKaOP1bW8/ncSr7+vZo0n2F1aQM/LqyhrkFzCtV1Pp+PI444giuuuIIxY8bYDicZvQEcb4zRrnpKxZAWAJSKocYu/y8AI2zHkgzq6+t58sknuf7661m8eLHtcFSUTBiWzUc3DKcoL63tDXMLoddgZ9K/9iheAasXdjm+dhm2WfMkgPW1sPAHCPhjc+wUU9cgzFlSy7fzq/l2XjXfzq/mh4U11NZrUUB1js/nY9q0aVx++eVaCIi8FcBRxpgPbAeiVKrQAoBSMdDY5f90nMn+tMt/FzU0NPDUU09x3XXXsWDBAtvhqBjYalQO7187jMLcDRQBAPK7O4WArLwNb1u2xmmJj2Z/cp8PRm/b/P3SuVBZHL3jqRbq/Y1FgcaCQLAoUFOnRQHVfsFCwHXXXcfQobqyXQQJMB240hhTbzsYpZKdFgCUirLGLv+Pocv7dZmI8NJLL3HppZcyb150l01T8Web0Tm8e007iwDgFAC69XJu6W3U3SqLYflvEAhEJlCv7HwYuqnzdfk651jKugZ/c0+Br36r5pM5lcxZEt3VGFRyyMrK4pxzzuGSSy6hW7c25ihRHfU1zgSBf9gORKlkpgUApaJIRLYAXkS7/HfZ119/zTnnnMPnn39uOxRl0bZjcnj36uF0y/V17IW53ZxCQH5PSAszYWBNhZOYR2M5vqK+0HeE0+V/wf+goS7yx1ARsa7cz2e/VPHpL5V8MqeKWfOqafBrLwEVXu/evbnmmms46aSTSE/vwESkqi3lwKnGmGdsB6JUstICgFJR0Njl/zTgTrTLf5csXryYSy65hGee0c8CyjF+SBavXDyU0QM68atlfJBX6EzIl9/d+T4o0OAMByhfH7lgAfqNhMI+sOoPKNHVKRJJVW2Ar3+v5tM5VXwyp5LP51ZRUROlniIqYY0bN47bbruNKVOmYIx+tI6QfwCnG2OqbAeiVLLR/6WUijDt8h8Z5eXl3Hzzzdxxxx3U1NTYDkfFmcLcNJ4+dxD7btXOCf/C8aVBfg/o1hNyi5x1BwFKVsLqRSARSvSGTnD2tfinyOxPWdPgF35cWMMnc5p7CawqabAdlooTe+yxB7fddhubbbaZ7VCSxQ/AQTokQKnI0gKAUhGkXf67zu/388QTT3DFFVewapW2lqrWGQNXHtqHqw7tQ5cb3dLSnR4BBb2c1QTqqp0hAXXVXQ9y1DaweDbUakNWshGBeSvq+M/sCt79XwUf/FBJaZWu7pDKjDEcd9xxXHfddQwYMMB2OMmgGGdegHdsB6JUstACgFIRoF3+I+O9997jvPPOY/bs2bZDUXEqI80wsn8mYwdmMXaAc7/fNgX07hbB8bdp6U7PgPzuzqR9ZWs7v6+sPCjoCWt1mcpU0OAXvv69mne+dwoCX/9WRUCnEEhJubm5XHTRRZx33nnk5bVjRRLVFgEuA242xuhvlFJdpAUApbqoscv/o8AhtmNJVL/88gvnn38+b731lu1QVJzolutjwtBsNhqUxdiBWc79gCyG980gPS2Gf7rSMgABfye7eed0cyYYjNRwApVQ1lf4+c+PlbzzfTnvfF/BkrW6wlmqGTBgADfccANHH300Pl8HJy9VXv8CjjXGlNsORKlEpgUApbpARMYBrwGjbMeSiNasWcM111zDQw89hN+v3WZTVVaGYeLwbLYencvWo3LYZnQOYwdmdb1bv1JxRAR+W17b1Dvgv7MrqarVwlCqmDhxIrfffju77bab7VAS3S/AgcaYX20HolSi0o9XSnWSiOwLPAN0YRay1FRbW8u9997L9ddfT2lpqe1wVAwZA+MHZ7P1aCfR33p0DhOGZZMRy1Z9peJAbb3w+dwq3pxVzsyvypi/UpeHTAX77bcft9xyCxtttJHtUBJZGXCUMeY124EolYj0E5dSHdQ43v8S4Hr0d6jDXn31Vc455xwWLFhgOxQVIz3y05i8eT5Ttihgry3y6VOo62Ur5SYCPy2u4ZUvy5j5VRnf/6ErnySztLQ0/vrXv3LdddfRrVs32+EksuuAq40x2pVGqQ7Q5EWpDhCRXOAJ4FDbsSSaRYsW8be//Y3XXtOCfbIzBjYfkcPeWzpJ/7Zjckjz6Z+bLvOlNS9VaAxNf8K9jxlC772PCc6cBAF/433jTecpiBsLV9cx86tyXvmyjE/nVOpEgkmqf//+3H333fzlL3/B6JinznoLONIYU2w7EKUShf5vo1Q7icgQYCawueVQEkp9fT133XUXV199NVVVugxasirKS2PyxHymNCb9fYu0lT8sX5qzykDIfRr40j33YbaLhWAhIBAA8Yd+732soQH89dBQ33wf0Lk8Im1NWQOvf+0UA977oYLaeq0GJJspU6Zw//33M3z4cNuhJKr5OPMC6BJCSrWDFgCUagcR2QF4GehjO5ZE8vnnn3Pqqafqsn5JauLwbPbesoApWxYwaay28pOeAemZkJHVeO/6Oj0jdkm8TRJoLAg0OPfu4oD73t/g9HtXHVJeHeDf3znFgDe/LaesSnttJIucnByuvPJKzjvvPDIyMmyHk4iqgOONMc/bDkSpeJfin9aU2jAROQm4H9C/yO20fv16LrnkEh555BHboagIKsxNY8+JeUzZwkn6+3dPpVZ+4yTxGZmQntWY3GeGJvzahbdj/A3QUAd1NVBf23hfA3W12pOgHeoahHe+r2DGRyW8+nUZNXVaUEkG48eP56GHHmKHHXawHUqiuh242BjTybVblUp++mlFqVaISAZwJ/BX27EkChHh6aef5rzzzmPNmjW2w1ERMKxPJofuUMjeW+az/Ua5pCf7bP3GB5nZkJUDWbmQmdOY4Gdogh9L/nqnEOAuCtQ3Fgq050ALZVUBXvmyjKc/KuE/P1bonAFJ4IQTTmD69On07NnTdiiJ6D/AYcYY/SCiVBj6aUapMESkF/AisIvlUBLGr7/+ymmnncZ///tf26GoLsrONBy0XSHH71HEbpvmJ2/em57ZmOjnOIl+Vi5kZqF/GuNcU28B131tldOjQLF8fQPPfVLCjI9L+W5+te1wVBf06tWL22+/naOOOkonCey4xcBBxphvbQeiVLzR/02U8hCRTYHXgGGWQ0kI1dXV3HTTTUyfPp26Ol3HOpFtNSqH4/fozuE7FlKUl0Tj1Y3PleTnNLfup8KY/FRSXwe1lVBT5RQEaipTfijBL0trmfFRCTM+KmXhav3/OVHtuuuuPPjgg4wdO9Z2KImmCjjcGKPLDynlogUApVxE5CDgn0Ce7VgSwbvvvsvpp5/O/PnzbYeiOqlXtzSm7VzE8bt3Z8KwbNvhREZWDuQUQHZ+Y+KfJOelOi7YO6DGVRhIwaKACHw+t4oZH5Xw/KelrK9IvWuQ6DIzM7nooou49NJLyc7W/9M6QICzjTH32A5EqXihBQClABHxAVcCV9mOJRGsWLGCc889l+eee852KKoT0nyGyRPzOX6P7uy/TQGZ6Qn8p8AYpzU/J99J+nPytWVfta2uprEoUOX0GKitcpY2TBF1DcKbs8p55N31vPN9hU6pkGBGjRrFgw8+yB577GE7lERzN3CeMUarXyrlJfCnPqUiQ0TygKeAA23HEu9EhL///e+ce+65lJaW2g5HddCo/pkct3t3jtm1iIE9E3RRC+OD7DxXwp/nPKZUV9TVOL0EqsqgutxZrjAFLFhVx2PvFfPEB8WsLNY5FBLJEUccwe23306/fv1sh5JIXgWmGWMqbQeilE1aAFApTUT6Am8AW9mOJd6tWLGCk046iTfffNN2KKoDcrN8HPJ/3Th+9+7sND4BR7b40hqT/cZbVp7Oxq+ir67GKQRUlTv3ST7BYL1feP3rch5+Zz3v/q/Cdjiqnbp3784DDzzAYYcdZjuURDIL2M8Ys9J2IErZop+iVMoSkTHA28AI27HEMxHh2Wef5YwzzqC4uNh2OKqdthuby/G7d+ewHQspyEmgFnJjnEQ/r9Bp4c/KtR2RUlBb3VgQKIPqiqSeR+CPVXU8+m4xT7xfzOrS5C58JIupU6fywAMP6JKB7bcI2McY87PtQJSyQQsAKiWJyHY4Lf/617INa9as4bTTTuPll1+2HYpqh4w0wxE7F3L+n3uxyZAEmiTKl+Yk/MGbjuFX8a6msrmHQE1FUs4hUNcgvNbYK+D9H7RXQLzr168fjz/+OHvvvbftUBJFKXCwMeYD24EoFWtaAFApR0QOAJ4FcmzHEs/+9a9/ceqpp7JmzRrboagNyMv2ceKe3TnvgF4M7pUgY/szMiGvyLnl5Gu3fpW4RFwFgTLn6ySbWW/eCmeugMfeW8+68uTt/ZAMTjzxRO644w4KCgpsh5IIGoCTjDFP2g5EqVjST1wqpYjIacB9QAL1iY6t4uJizjzzTGbMmGE7FLUBPQrSOHOfnpy5T096FiRAq3l2XmMrf5GzPJ9SycjfAJWlUFHiFAQkeXoHVNUGeOrDEu58bR2/Lqu1HY5qxbBhw3jyySfZeeedbYeSKK4HrjTGJFflTqlWaAFApQQRMcCNwMW2Y4lnb731FieeeCIrVqywHYpqw4AeGVx4YC9O3LM7edlxXMsyPsgtaGzpL4T0BOmdoFSkSAAqy6CyxCkKJMlkggGBt74t545X1/Lf2TqhejwyxnDOOedwww03kJ2dQEPC7JkBnGCM0cqWSnpaAFBJT0QygceBI23HEq/Kyso499xzefzxx22Hotowsl8mV0ztwxE7F5KRFqf/fft8TsKf3x3yuukSfUo1EWcCwYoSpyBQX2c7oIj4bn41d762juc+LaXBrw2o8WbcuHH885//ZKutdLGjdvgYONAYs952IEpFU5x+glQqMkSkEHgZ2N12LPHqgw8+4Pjjj2fx4sW2Q1Gt2GhQFjcf1Zf9t+kWv0PlcwqgW08n8fdp0q/UBtVWNRcDaqttR9NlS9fVc9+b63n4nfWUVOo8AfEkLS2Nyy+/nMsuu4yMDO2JtQG/4qwQMN92IEpFS7x+lFSqy0RkIPAWMMF2LPGosrKSiy++mPvuu892KKoVmwzJ4u4T+7PbhHzboYSXkeUk/QU9nUn9lFKdU1/rFAIqSqC6EkjclvSKmgB//6CYu15bxx+rkqOXQ7LYcsst+ec//8nGG29sO5R4txbY3xjzhe1AlIoGLQCopCQi44G3gcG2Y4lHX3zxBUcddRTz52uBOx6NH5zFI38dyPYb5doOpSVfmtPK362nM3u/Uiqy/A1Qvh7K10FNle1oOs0fcJYRvOWVtXz5a+KeR7LJysrixhtv5Oyzz8anvbXaUgNMM8b8y3YgSkWaFgBU0hGRnYGZQJHdSOJPIBDg1ltv5bLLLsPv1y6a8WbMgCyeOHMg/zcu3hJ/40zm160n5BfpuH6lYqWuBsrWOcWAhnrb0XSKCLz/QwXXPL+az37RQkC82GmnnXjyyScZPny47VDiWQA40Rjzd9uBKBVJWgBQSUVEDgX+CWh/ZI/Vq1dz9NFH884779gORXnsuHEe1x3Rh503ybMdSqjM7OYu/jqDv1J2VZU5xYCKkoRcWlAE/ju7kmueX83HP+vKAfEgPz+f+++/n6OPPtp2KPHuLGPMPbaDUCpStACgkoaInAvcbjuOePSf//yHadOmsXLlStuhKJdR/TO55Zh+/HnbOJrcz+dzEv5uPSE7zgoSSikI+KGi2CkGVFfYjqZTPvypkmufX61LCMaJ448/nnvvvZfc3HjrfRZXrgBuMMYk7gQdSjWKl4+cSnWaiBjgeuBS27HEm4aGBq655hpuuOEGRPRvVrzonp/GlYf24fQpPchMj5P/htMzoagPFPZyxvkre/wNzqzw/noo6GE7GhXP6mud+QLK1jlfJ5hP5lRyzXNr+ODHxCxkJJNNNtmEF198kY022sh2KPHsNuBCLQKoRBcnnzyV6pzG5P9O4CzbscSbpUuXcsQRR/DJJ5/YDkU1ykgznLFPDy6f2oce+XGSZGfnOYl/QXf0T0KMBQJQV+3cal33/gbAwMBRkNvNdpQqUVRXOHMFlBc7vQQSyGe/VHHt86t5939aCLApLy+Phx9+mGnTptkOJZ49ApxujEmsXzKlXPTTnkpYIuIDHgROth1LvHnjjTc49thjWbdune1QVKODJnVj+tH9GNU/HqanMJBfCEV9dSb/WBCB+prGJL+mOdlvq8W250Do0S92MarkIQFnnoCSNVCTWAn1l79Wce3za3j7u3LboaS0E088kXvuuYecnBzbocSr54CjjTGJOTOnSnlaAFAJSUTSgb8DR9qOJZ7U1dVx8cUXc+edd9oORTXafEQ2d5/Ynx03joPx9L40Z2x/UR/IyLIdTXIK+KGmEmqrmhP9uhqnCNBe+UXQf2TUQlQppLYKSlY7wwQSaBjYZ79UceE/VvL5XF01wJZNN92UF198kbFjx9oOJV69AUw1xlTbDkSpjtICgEo4IpIJPAMcbDuWeDJ//nwOO+wwZs2aZTsUBeRk+rhuWh/O2rcn6WmW/6vV8f3R01DndL2urnBaW2u7+FkwMxsGb6Q/JxVZ/gYoXePcEmQ5QRGY+VUZF/9zFb8tT7z5DZJBfn4+jzzyCIcffrjtUOLVf4EDjDHaZUUlFC0AqIQiItnAS8A+tmOJJ88//zwnn3wyZWVltkNRwB6b5fPw6QMY0ddyd//sPOje12lR1v/uI6Ouujnhr65wCgARY2DIRpClM3GrKBFxVhAoWe30VEkA9X7h8feKufq51awqabAdTko65ZRTuPPOO3VIQHhfA1OMMettB6JUe+knQpUwRCQPmAnsYTmUuFFdXc3ZZ5/NI488YjsUBfTIT+POE/pz1C5Fdpf1y+/uJP66jF/XiDhdqKvLG1v4Kxsn6IuSbr2g79Do7T/Z+Ruah1wE51so6tNYAFMt1DQOD6hIjOEBFTUBbp+5lltnrqWyJmA7nJSz2Wab8eKLLzJ69GjbocSj2cBkY4yutawSghYAVEIQkW7Am8AOtmOJF3PnzuWQQw7hp59+sh2KAo7YqYg7T+hHn8J0e0HkFUHPAZClrTSdVlfjTKBWVeYk/BKjRMPng2GbQFpGbI6XyNyJfl011Dbee4sz3ftBr4F2YkwkCTY8YGVxA9c+v5pH3i3GH4j/wkUyyc/P57HHHuPQQw+1HUo8mgfsYYxZZDsQpTZECwAq7olID+AdYCvbscSL119/nWnTplFersPObBvSO4MHTx3A3lsW2Asit5uT+Nts8Q8uO5aIY9drKp1u0ZWlTlJpQ88B0KO/nWPHq4DfNZFiG4l+OPndof+I6MeYTBJseMCvy2q55KlVvPKlDn2LtdNOO4077riD7Oxs26HEmyXAnsaYX20HolRbtACg4pqI9AHeAybYjiUeBAIBbrjhBq688krboaQ8Y+Bv+/bk+ml9yc/22QkiJ99JHHNiUHzwNzjL1jXUQX1d473r+4AfBo5OjHXrRZwW/soSJ+m33eqZngnDxoOx9D6KF7VVTuIZvHW2GJOdB4PG6PXsippKKF7l9IYhvlvZP59bxXl/X8mXv+qKAbG0+eab88ILLzBq1CjbocSbNTjDAf5nOxClWqMFABW3RGQg8AGga9AA5eXlHHPMMbzyyiu2Q0l5mwzJ5rEzBrLtGEtd7bNyncQ/rzBy+/Q3OGvV17eS4G+oK7wvDUZsht3JD9oQ8DvJfmUJVJY191iIB70HO2PVU4m/HqpdyX5tJQQiMNwiI8tZRSHN4lCcZFJXA+tXQHkx8VwICAj887/FXPjkKtaU6USBsVJQUMA//vEPDjzwQNuhxJtSnIkBv7AdiFLhxOknNZXqRGQYTvKvfTiBefPmccABBzBnzhzboaS0rAzDFVP7cMGBvchMt/DfZ2a2k/jnd+/6voKtrcHJ7eq7uMxWQXfoF2e/rsEuzWXrnIn84nGiM2Ng+KbJPfY/OJliTUVz0h/R1RMa+dKc5D9TuyVHXF0NFK+E8vieMLCk0s+Vz6zm/rfWodMDxM61117L5ZdfjonXArAdlcBexphPbQeilJf+pqq4IyJjcJL/QbZjiQf//ve/OfzwwykpKbEdSkrbaXwej5w+gLEDs2J/8Iws6NkfCnp27vX+BlfX6saEPxKtrW79hkNBj8jus7Pqa6F0LZStje6s/ZGQVwgDkrALbU2lM8yiaTLFKGdjxjhDUGIxHCaV1dfC+pVQvi6uCwE/LKzhjIeX8+kvOiwgVqZOncrf//53cnN1GVOXcpw5Ab6yHYhSbloAUHFFRMbjJP99bcdim4gwffp0Lr30UiSOP2glu8LcNG49th8n7NkdX6z/x0zPcCaG69arY13r66obW1orujaWur2Mcbr/254AsLLUmcm8stRuHB0RT4WTrvA3NM6rUOrcx7rw0m9Y5wtkquPq65weAWVr47YQIAJPf1TCBU+uZFVJnBcCk8QWW2zBq6++yqBB2n7jUgrsboz51nYgSgVpAUDFjcaW/4/R5J/KykqOP/54XnjhBduhpLSDJnXj3pMGMKBHjMcTp6U7S5gV9Wlf4l9fG7p0XazHt+d2c1pfbfA3OK39pWui0608mnxpMGJCgk5WJ06RKZj011psadXl/uxpqHMmCyxdG7slMzuotMrP1c+u5t431+uygTHQt29fZs6cyXbbbWc7lHiyHtjNGPOD7UCUAi0AqDghIsNxkv+ULxsvWLCAP//5z/z444+2Q0lZ/bunc/8pAzhwuxjPaG8MFPZ2xvlvqDW9psqZ0K6ixGnxt8nGEnbVFU7SX1Ecty2QG5Ro3f8b6qGq1JlEsSpOJlLMyIKh4+N38slU0VDv9AiI40LA7EU1nPHICj7+Of6XOEx0mZmZPProoxx99NG2Q4kna4FdjDE/2w5EKf2LqawTkUE4yf9w27HY9sEHHzB16lTWr19vO5SUdepePbj56L4U5sa4O3t2PvQZ7MzwH46IM5FdRUnj0nVx1Nrdd6gzTCEWaiph7TLnWiS6RGi5Dvid91z5OqiqIO5mgk+UpSdThb+hsRCwJvLzjESACDz7SQnnPqHDAmLhggsu4KabbiItzfLwsPixCtjZGPOr7UBUatMCgLJKRPoBHwFjbMdik4hw5513csEFFxCIww9NqWDswCwe/esAdtw4L7YHTkuHXoOgW5jxy01L1zXe4qHFNZxYJGF1NbBuWeO65Ekibsf/i9PKX77eud5x2qJLfnfoH2crTyiHv8EZGlCyOi7fP8UVfs59YiVP/qfYdihJb++99+bZZ5+lWzct1DVaDuxkjJlvOxCVurQAoKwRkV7Af4FNbMdiU3V1NSeddBIzZsywHUpKykgzXHxwby79S2+yM2P5X6KBwl5OC7C7u39DfXPX/nhdus5r6MaQmROdfTfUw/rlzlJ+iXAtOmLo+Phasq6mymnpLy8Gf73taNrm8znXLz3TdiSqLQ11To+d8vjs1fbO9xWc/MAyFq+J8/d7ghs3bhyvvfYao0Yl0JCn6FqMUwRYZDsQlZq0AKCsEJEi4D/A5pZDsWrlypXst99+zJo1y3YoKWnjwVk8e95gJgyLcRKWnQd9hjR39w8EnLHs5eugKgG7to+cGPkVAAJ+Z7mxOG1B7DLjg1ETsf5nuKEOytY7771orxYRSb0GOkMoVGKoqYS1S525O+JMeXWAi/+5kgfejs8iRbLo3r07L730ErvttpvtUOLFApwiwFLbgajUowUAFXMiUgC8C6T0FLG//PILU6ZMYdEiLQDbcMqfenDH8f3IzYrhDOxp6dBzoNPyD06yX77OSf4TdeiH8cGoCNbxRJykf/2K+B3yEAnpmTB8U3vHr6l0CiyVJfZi6KzMbBiysU78l4gqSpyhPHFYbPr450pOuG8Z81bE0fwqSSYtLY27776b008/HaO/vwC/48wJsMJ2ICq16G+fiikRyQXeAna2HYtNH330EX/+858pKSmxHUrKKcpL47EzBnLwpBiPRyzs5ST//gYn6S9bH18T+XVWRhYMi9AonroaWLXA6Yqe7CJ53TqistSZpC0OW2LbbdAYyCmwHYXqLBFnksD1K5z/D+NIVW2Aq55dzR2vrkVXDIyeU045hXvvvZeMjAzbocSDX3BWB1htOxCVOrQAoGJGRLKA14DJtmOx6ZlnnuG4446jri4Jkr8Es8O4XGacO5ghvWP4oSMr1+muXF/rjGOvSbIlqCLVkl2y2hkrnIzd/cPJzHbGsMdK+XpnUrbaBC+uFPRwJk9UiS/gd4oAJWvi7vf+69+rOf7epfy8uNZ2KElr55135qWXXqJXrxitIBPfZgO7GmPW2Q5EpQYtAKiYEJEM4CVgf9ux2CIiTJ8+nUsuucR2KCnHZ+CKQ/tw+SG9SU+L0X97Pp+ztJ/P57S6JtsEdkG+NGcOgM5qqINVCxNz7oOuyMxxJk+MJhEoW+sk/vVJkMgYA8M2hXRtNUwq9XXOsIA4myiwtl648aU13PjSGhr8Sfr/t2XDhw/n3//+N2PGpPRCUEHfA7sbY3RpChV1WgBQUSci6cAzwCG2Y7GloaGBM844g4cffth2KClnUM8Mnj53EDuPj/Hyfhjibs30aBm1RefGY5etgzVLknusf2uycmHIuOjsWwRKVkHx6vifzb8j8opgwEjbUahoidOJAv+3oIYjbl/CL0uToIgWh3r16sVbb73F1ltvbTuUePANsKcxptR2ICq5aQFARZWI+IC/A0fbjsWWiooKDj30UN566y3boaScP2/bjcfOGEjPggjPUK9CjdjMmeCwvQJ+WLXImfwwVUVrDoCqMqeoEoeTrHXZgJFOEUAlt4piZzhQHPVaqaoNcMGTulJAtOTm5vLyyy+z11572Q4lHnwO7GWMSbFucSqWtACgokZEDPAgcIrtWGxZsWIF++67L999953tUFJKVobhzhP6c+qfeuhE4bHQkfXs6+tg+e/JmaB2hDFOz4lI8dfDmqVx1406YtIyYMSm6MeWFNG0GsjyuFoh5Y1Z5Rx3z1LWlqVgr6UoS09P54knnuCoo46yHUo8+BCYYoxJ8T+UKlr0L6mKisbk/07gLNux2DJnzhz23ntvXeYvxsYPyeLZ8waz6dB2JqSq6wZvBNntGGJRWwXL5iVXt/SuGL6pM4liV5WshnXLk3soRfe+0GuQ7SjaRwLg9xM6BKiNj1sG8KXrsobhNNTB6sXOPCpxYmVxA8fes5R3vo+voQrJ4tZbb+X888+3HUY8eBE4zBgTPxUwlTT0r42KChG5ArjWdhy26DJ/dpy6Vw9uP64fuVk+26GklgGjIK+w7W0qS2HlH3HVmmddV5ezq62C1YtSY9nEjvQyiZa6GmiodwpY/gbnvqHB9X3j1519j/vSnKE0YW8ZoV9nRKBwlEgqip2hLQ3xUTwMCNz7xjou/MdK6hpSZK6XGDr33HO59dZb8flS/m/53cA5xhh9k6mI0gKAijgROQ54wnYctjzzzDMce+yx1NfHxweVVFCUl8bjZwzkoEndbIeSmnoNclpoW1O6xvnwnqwrIXRW32HQrWfHXyfiTJZWsoaUmGgyO8/pZRIrAT/UVju3uqrmr+NpqTpjICMbMrOcwkhGtnOfme0UEpJRwO/MDVC6xnYkTX5cWMMRdyzR5QKj4IgjjuDvf/87mZkpVuxq6UJjzK22g1DJRQsAKqJEZArwOpCkn0BaJyLcfPPNXHrppbZDSSk7jMtlxrmDGdJblwazJr8I+rcyO/vaZVC8MqbhJIzOdGv318Py+c6M6amiz1AojNJa4RJwlqCsqYS6xkQ/jiaf65S09OZiQEY25OS3b4hOoqipdHq+1FbbjgSA6roAF/5jFfe9qUu4R9rkyZN56aWXKCjoQk+p5HCUMeZp20Go5KEFABUxIrIVzsQlSfRJo338fj9nnnkmDz74oO1QUobPwBWH9uHyQ3qTnqb/lVmVngHDJ7R8fM0SZ3y6Ci8rB4Zs3P7ta6uc5L+hLnoxxRvjgxETItuqXV/rDEmpLHWWnIunlv1Iyu3mFE7yipJvfoHgUpfrVsTNz++tb8s59u5lrClrsB1KUtlyyy1566236NOnj+1QbGoA9jbGvGc7EJUckuwvgrJFREYAXwAp9z90Q0MDxx57LDNmzLAdSsoY1DODGecOYqfxKVdril/eCe3Wr3AmplNta+8SihXFsGph6s2hkN8d+o/o2j5EoKaiOelP5hUo0jOdYSXdeqXGPAH1tc4kgVVltiMBYNm6eqbeuoTP56bAvBwxNGrUKN555x1GjOji/wWJrQLYyRjzve1AVOLTAoDqMhHphbNu6WjbscRabW0thx12GDNnzrQdSso4cLtuPHbGQHrkp9wok/jWf4STrIHT6r9mid14EkW/4VDQo+1tUrmYsqH5JdpSWQpl65zkMJlXSADIyIIe/aFbD1Lyo135emcZzDhYYaTeL1z45Eruel2HBERS3759efvtt9l8881th2LTKmCSMWaB7UBUYkvBvxIqkkQkF/gA2M52LLFWWVnJgQceyHvvaY+sWMjONNx5fH9O+VOPpOvNmhSC49nL18NK/WzSbt16Qd+h4Z+TAKxc6LT+p6qBo52u7O3lb4CytVC6NvHH8rdHRhb06Nc4mWSK/8cY8DuTY5autR0JAM9/WsoJ9y2jsibFeu1EUUFBAa+88gq777677VBs+h3Y3hgTH290lZBS/K+F6goRSQdeBva3HUuslZaWsu+++/Lpp5/aDiUljB6Qyb8uHsImQywvA6Zal53ntECumK+z/XdEeqYzfCKc5fPiav1zK9o7RKKm0lkVoaI4bsaER1VaOvQc6CT+WhENVV3hDAuosz9J4JwltRw8fTFzl6ZAMSpGMjIyeOqppzj00ENth2LTV8DuxpgUmg1WRZL+1VCdIiIGeAA41XYssbZ27Vr22msvvv32W9uhpIQ9NsvnhQsG0127/Mc3YwCTGslXpIVr5dYJFNsujoDzXitf7yT+tSk05jqvCPoOgTRd+aRVIs6wmeJV2F4qs7w6wAn3LePFz1K8mBdBxhjuvvtuzjzzTNuh2PQGcKAxRmedVB2mBQDVKSJyKXCD7ThibcWKFey55578/PPPtkNJCWfu05M7ju+ns/yr5FbQw5kLIEjnUHDkFcKAUS0fF3GuUfFKp8t/qkhLh96DNzxnhGpWXeEMSbK8coYI3P3GOi54ciUNfu0hFSnTp0/nwgsvtB2GTY8BJxtj9E2lOkQ/VasOE5FjgCdtxxFrixYtYvfdd2f+/Pm2Q0l66WmG+0/pz8mT9YOuSgHupe4qS2D5H9hutYwLPfpDzwGhj5UXw7plqTG+3y2nwJlosz3DIVSogN8ZElC+3nYkfPpLFVNvWcyK4hQqXEXZDTfcwKWXXmo7DJuuMcZcbTsIlVi0AKA6REQmA28CKfUp5LfffmP33Xdn6dKltkNJej0L0nj54iHsrEv8qVTSezDk5MPSX1Nvqb/W9B8J+UXO19UVzgRvNSk45LWgB/QdpmP9u6q8GFYvsr4ixMriBg67bQkf/ZyC7+Uoueaaa7jyyitth2HTKcaYR2wHoRKH/jVR7SYiWwAfAfm2Y4mlH3/8kcmTJ7Nq1SrboSS98UOyeO2yoYzomwLrVyvllpntJCYN9pcxixvDNnHu1y6FihKroVgTXF1DRUZDPaxaAFXlVsOo9wtnPLyCR9613yshWVx55ZVcffXVmNQslAVw5gN4zXYgKjGk5G+J6jgRGQZ8AfSzHEpMff311+y1114UF6fwMlwxst/WBTx9zmC65fpsh6KUss0YKOwNpWtSd1WJ3oOgqK/tKJJTySpYu9zqpKXBeQHOe2IFgRR9i0faZZddxnXXXZeqRYBqnJUBvrAdiIp/KfkbojpGRHoCnwFjbccSSx999BH77rsvFRUVtkNJehcf3Jvrp/Uhzaf/JSmlFEV9nGEhKnrqqp0JAmvtLhf45qxyDrttCRU1OvQnEi666CJuuummVC0CrAO2NsYssB2Iim8p+duh2k9EMoB3gV0shxJTb7/9NgcddBA1NTW2Q0lqWRmGx84YyJE7F9kORSml4kNuN2dpSBV9Is6kksV2h/jNXlTDftcvYtEaHQIUCeeffz633HJLqhYBfgK2N8bYHeei4lpK/mao9hOR+4HTbccRS2+88QYHHXQQ9fX6hzia+nVPZ+YlQ9l2TI7tUJRSKj5kZMGQcc6KECp2qsth5UKrywWuKmngzzct5stfq6zFkEzOPvts7rjjjlQtAswEDjbGaLcSFVZK/lao9hGRk4GHbccRS++++y777bcfdXV21wxOdluMzOHVS4cwqGeG7VCUUipOGCf5z9KiqBVxsFxgTZ1w/L1LefaTUmsxJJMzzzyTu+++O1WLANcaY66yHYSKTyn5G6E2TER2Aj4ghZb7++9//8vee++t3f6jbOr/FfL3vw0kN0sn+1NKqSaFvaDPUNtRqPL1TiHA0nKBInD9i6u58pnVVo6fbE477TTuu+8+fL6U/Mwx1Rjzou0gVPzRAoBqQUSGArOAXrZjiZVPP/2UP/3pT1RVade7aLr2iD5cfkgfXc5aKaXcfD5n2cM07RUVF+pqYMV8596SFz4r5Zi7l1JTp0sEdNXJJ5/Mgw8+mIpFgGrg/4wx39sORMUX/RiuQohIHs6M/5vZjiVWvvrqK/bcc0/Ky3W+lGjJzfLxz7MHcfCkbrZDUUqp+NNzAPTobzsK5RYIwKqFUGFvGeAvf61in+sWsb7CTm+EZHL88cfz6KOPpmIRYAmwlTFGu5SoJloAUE1ExAAvAH+xHUusfPfdd+y2226Ulup4u2gZ3CuD1y4bysTh2bZDUUqp+ONLgxETwKRcYpIYilc5KwWInZb4X5bWMvmqhSxdpxMTd9UxxxzD448/Tlpayk2y+SmwuzFGJ7hSAOhfG+V2OSmU/M+ePZs999xTk/8omjQ2l29uG6nJv1JKtSa/KD6S/4AfGuqdbu/1teBvsB1RfOjeFwaMhjQ7UyKNG5TFZzePYKNBWVaOn0z+8Y9/cOyxx+L3p1yPih2A+xsb+pTSHgDKISJ/Bl6xHUes/PLLL+y8886sWbPGdihJ65jdinj4tIFkZeh/M0op1aoBoyCvMPL7FWlM5mugttq59zc4XdsDASfhl8avpY3VwnxpTvKblh7+64wsZ+WC9MzIn0M8aaiDFX9ATaWVw68t87Pv9Qv56rdqK8dPJieccAKPPvpoKq4OcKYx5j7bQSj7Uu6dr1oSkU2Bz4F827HEwu+//87OO+/MihUrbIeStG48si8XH9xbJ/tTSqm2+NJgxGZ06T9LEairdpL9umqobUz662tj2209Ld0pBGTmOvdZuZCZ3bVzizcisGYJlNppPKioCfCX6Yt55/sKK8dPJhdeeCHTp0+3HUas+YHJxpj/2A5E2ZVE/yurzhCRXsDXwHDbscTCggUL2GmnnVi6dKntUJKSMfDAKQM4da8etkNRSqn4160n9B3W8dfV1UBVmXOrLnda8eORMU4RICtYFMiDnDwS/uNn2TpnqcC2ek5ESV2DcOzdS3n2Ex2+2FU333wzF110ke0wYm09sI0xZr7tQJQ9Cf4/sOoKEckA3gF2tR1LLCxevJidd96ZhQsX2g4lKaX5DP88eyBH7FRkOxSllEoMfYZCYTtW3A34oaq8MekvhfoEnsvLlwZ53SCvCHK7WRtb32W1Vc5SgRZ+FgGBsx9bwb1vrov5sZPNI488wkknnWQ7jFj7GZhkjNHlr1KUFgBSmIjcC5xhO45YWL58OTvttBPz52vBMxqyMgwvXjiE/bYusB2KUkoljkFjIaeV0Xf+eihbD5UlzrhzS7PQR5eB7DxnDoS8QqeXQCLxN8DKBU5hJsZE4MaX1nD5jFUxP3YyMcbw/PPPc8ghh9gOJdZeAw40xsRp9yEVTVoASFEichLwiO04YmHVqlXssssuzJ0713YoSSkv28drlw5ltwl5tkNRSqnEMnwCpGeEPlZZCqVrnZb+pEz625Ce2VwMyO2WOPMHrFsO6+3MK/Tou8Wc8uCylHurRFJGRgZvvPEGkydPth1KrN1gjLncdhAq9hLkf1YVSSKyI/ABkLGhbRNdcXExO+20Ez/99JPtUJJS9/w03r5yGNuOSbBWG6WUss2XBiMnOl/X10LZWmdseYOu9w6Az+cUAbr1dIYLxLvKUqc3QCD2S8w9/VEJx9y1lIAWATotNzeX999/n0mTJtkOJdYOM8Y8bzsIFVtaAEgxIjIQ+B7obTuWaKupqWHy5Ml88skntkNJSn2L0nn36mFMGJZtOxSllEo8mdnQo7/T2l+tQ3HblJ7pzJXQrVfLHhPxpK4Gls9zCjox9szHJRx1pxYBuqKoqIiPP/6YTTfd1HYosVQN/J8x5nvbgajY0QJAChGRdOA/wI62Y4k2v9/P1KlT+de//mU7lKQ0tHcG7187nFH9k3zdZ6WUUvHDGMgtdIoBeYW2ownP3wDLf4eaqpgf+rlPSpl2xxItAnRBv379+OyzzxgxYoTtUGJpHrClMSb2k1koK3y2A1AxdS0pkPyLCGeddZYm/1EydmAWn9w0QpN/pZRSsSXiTIq4fB4smO2Mu/fH2ZCJtHRnckcLBYrDdizk2fMHk+bT9r3OWrlyJXvuuScrVtiZ08GSUcAjIqJvnBShP+gUISJTgLdsxxELN954I5dddpntMJLSxOHZvHP1MPoUJuiyTUoppZKLMU6yXdjbmTMgnqxeDKVrYn7Ylz4v47DbluDXrgCdtskmm/DRRx/Ro0cP26HE0mnGmIdsB6GiTwsAKUBEBuOM++9pO5Zoe/LJJznuuONsh5GUtt8olzevGEpRXprtUJRSSqmWsnKh/wjIyLIdSbPiVbB2acwP+68vyjj0tiU0+LUI0FmTJk3ivffeIy8vZVY5qgUm6XwAyU8LAElORDKAD4HtLYcSdW+//Tb77bcffn/sZ+BNdntOzOeVi4eQl62jhpRSSsWZ4GoB+UVg4vDvVEUxrFwIEtsl12d+VcYht2gRoCsmT57Ma6+9RlZWHBWVokvnA0gBWgBIciIyHbjQdhzR9s0337DLLrtQVRX7SXeS3UGTuvHMuYPJytD/LpRSSsWJppUBejpfx7vqClgx35kkMIZe+7qcv0xfTL0WATrtkEMO4dlnnyUtLWV6QD4PHG6M0TdNktJP9ElMRPYFXrcdR7TNmzeP7bffnjVrYj/OLtkds1sRj/11IOlp+l+FUkqpOJCeAd37OWP+TYL9bbK0TOAbs8o56CYtAnTFySefzEMPPYRJtPdc5+l8AEksZd7FqUZEhuCM+0/q2UtWrVrF9ttvzx9//GE7lKRz5j49uevE/uhkwkoppaxLS3cS/6Le8dnNv738DU4RoKYypod94bNSDrttCaI1gE6bPn06F16Y9J1qg3Q+gCSmH+2TkIhkAh8B29mOJZoqKirYZZdd+Pbbb22HknQun9qbaw/vm3CNK0oppZKNge59oEd/8CVJF2wJwMoFUFES08M++m4xJz+wLKbHTDYvv/wyBx10kO0wYkXnA0hSCVxCVW24kSRP/uvq6jj44IM1+Y+CW4/tx3VHaPKvlFLKsvRMGDQaeg1KnuQfnB4M/UdCUZ+YHvakyd2Zfky/mB4z2Rx55JHMmjXLdhixMgp4RET0E2GS0R9okhGR/YFXbccRTSLCMcccw1NPPWU7lKRiDDx02gBOnpzUo0aUUkolgoIe0GdIciX+4ZSshjVLgdj1zb/kqVXc/LLOm9RZ/fv356uvvmLw4MG2Q4kVnQ8gyWgBIImIyDCccf9FdiOJrosvvpjp06fbDiPpPHjqAE7dS5N/pZRSFhnjJP7detmOJHbKi2HVAmI1QF8ETntoOQ+/sz4mx0tGm222GZ9++in5+fm2Q4kFnQ8gyegQgCTROO7/eZI8+X/44Yc1+Y+CG4/sq8m/Ukopu4yBfsNTK/kHKOgO/UbEbFUDY+D+U/pz6A6FMTleMvrhhx84/PDD8fv9tkOJhSzgBRHpZjsQFRlaAEge04FtbAcRTR9++CFnnHGG7TCSzgUH9uLig3vbDkMppVQqC46Lz+9uOxI78ouc84/RCgdpPsM/zx7ElC0KYnK8ZPTGG29wwQUX2A4jVnQ+gCSiP8QkICIHAv+yHUc0/fHHH2y99dasX6/d1SLpxD2788jpA3XCP6WUUvYYAwNGQa42MFJVBsvnOysFxOJwtQH+dPVCPv2lKibHS0YPPvggp556qu0wYkXnA0gC+rE/wYnIYGA2kLT9uMrKyth+++35+eefbYeSVA75v0KePW8QaT79b0AppZRFvQfHfEb8uFZdDsvnQSA2RYCSSj+7Xr6A/y2oicnxkk1aWhpvvfUWkydPth1KLOh8AElAhwAkMBHxAU+SxMm/3+/nyCOP1OQ/wv60eT5Pn6PJv1JKKcvyizT598opgAGjY7YCQlFeGm9eMYxBPTNicrxk4/f7OeSQQ5gzZ47tUGIhOB+Ajh1JYFoASGxnArvZDiKaLr/8cl5//XXbYSSV7TfK5eWLhpCZrsm/UkopizKyoO8w21HEp5x8GBi7IsCAHum8ccVQ8rM1NeiMsrIy9tlnH1avXm07lFgYBdxmOwjVeZoBJCgRGQd8B2TbjiVaZsyYwZFHHmk7jKQyYVg2H14/nO75Sb6uslJKqfg3aKyT6KrW1VbBst/B3xCTw/37uwr2vX4R/kBsliRMNpMmTeI///kP2dlJ+/HcbW9jzNu2g1Adp2W+BCQiGcBTJHHy//XXX3PCCSfYDiOpjOqfybtXD9PkXymllH253TT5b4+sXBg4BtLSY3K4vbbI596T+8fkWMnoiy++4Pjjj0ckJQooj4uIriGdgLQAkJiuALa0HUS0LFu2jD//+c/U1tbaDiVpDOyZwfvXDqdvUWw+QCillFJt6jXQdgSJIyvH6S2RHpsx+qft1YPzDugVk2Mlo2effZZrrrnGdhix0B+4z3YQquN0CECCEZFtgc+ApGzGra6uZqeddmLWrFm2Q0kaPQvS+OSmEYwblGU7FKWUUqp5zXvVMfW1sPQ3aKiL+qECAn+ZvphXviyL+rGS1YwZMzjiiCNshxELhxpjXrAdhGo/LQAkEBHJA74HRtuOJRpEhGnTpvHss8/aDiVpFOT4+M91w9lqVI7tUJRSSinH4I0gO892FImpvhaW/Qb10S8CVNUG2OXyBXzze3XUj5WMsrKy+Pzzz9liiy1shxJt64FNjDErbAei2keHACSWW0jS5B/g5ptv1uQ/grIyDK9dNlSTf6WUUvEjPVOT/67IyHKGA2REv1dfbpaP1y4dypDeujxgZ9TW1nLwwQezfv1626FEWw/gURHRhuUEoQWABCEifwJOtx1HtLz22mtcdtlltsNIGmk+w4sXDmGXTfRDllJKqThS0N12BIkvPTNmRYB+3dN584qhdMvVlKEzFi5cyFFHHUUgELAdSrTtA+js3QlCf5sTQOMMm3+3HUe0zJ49m2nTpqXKjKkx8eRZA9lv6wLbYSillFKh8rUAEBHpGTBwNKRFv3V+kyHZPH/+EIy273bKW2+9xQ033GA7jFi4U0SG2w5CbZgWABLDAzgzbSad9evXc8ABB1BRUWE7lKRx38kDOHLnItthKKWUUqHSMix0/0/ixoWMLBg4CnzRnxd6ry3yue6IvlE/TrK66qqrePfdd22HEW35wJMiovllnNNaXpwTkcOBZ2zHEQ2BQIADDjiAN954w3YoSeO6I/py+dTetsNQSimlWsrt5rRad0VDnTMRXl2t83XA77oFmr/2N95LY9drnw+Mr/E+zfO9z2lRz8x2bhnZMVtyLyKqK2DZ783nGiUBgYNvXszMr3RlgM7o2bMn3377LUOHDrUdSrSdZ4y5w3YQqnVaAIhjIjIImA0UWQ4lKm655RYuuugi22EkjXP278ntx/XXLnpKKaXiU/e+0GvQhrdzJ/n1Na6va6Oe5DbxpTUXBIK3rLz4LQxUlsKK+RDl4ZRlVQG2vXA+c5fWRvU4yWrrrbfmk08+ISsrqZdmrgW2MMbMsR2ICk9ThTjV2H3mHWAP27FEwyeffMKuu+6K3++3HUpSOGDbbvzr4iH49DdaKaVUvOo7DLr1DH0s4IeaytCbv8FKeO2SlQt5hc4t3lYzKF8HKxdG/TBzl9ayzQXzKa9O+ontouLUU0/lwQcftB1GtH0LTDLG1NsORLWk6UKcEpEzgXtsxxENq1evZvPNN2f58uW2Q0kK44dk8cX0kRTk6JArpZRScWzwRmBMaLJfV2M7qs5LS3eGNQQLAjEYi79BJathzZKoH2bmV2UceNPiqB8nWf3jH//g6KOPth1GtF1jjLnadhCqJS0AxCERGQv8D8i2HErE+f1+9tprL95//33boSSF7vlpfHPbSEb2y7QdilJKKdU244tdF/5YM8bpEVDYC/J7YHU83rplsH5l1A9z+YxV3PDimqgfJxnl5OTw5ZdfMmHCBNuhRJMf2M4YM8t2ICqUNhnGmcau/4+QhMk/wA033KDJf4T4DLxwwWBN/pVSSiWGZE3+wRl7X13hdMFfOBuKVzrDG2zoORAKoz8h8DWH92GvLfKjfpxkVF1dzUEHHURJSYntUKIpDfiniOTYDkSF0gJA/Dke2Ml2ENHw/vvvc/XVV9sOI2ncfnx/9thM//AqpZRScaWhHtYugwU/Ot3x6y1MmNdnCOR3j+oh0nyGGecOZkRfbYjojPnz53PMMccQCCRxYQzGATfYDkKF0iEAcURE+gG/kISz/i9fvpyJEyeyZo12FYuEY3frzhNnDtQZ/5VSSqm4ZyC/0FkFITuGhXsRWD4PqqK7bN+PC2vY7sI/qK5L6kQ2am6++eZkXxVLgP8zxnxhOxDl0PQhjojIc8ChtuOItIaGBnbbbTc++eQT26EkhW3H5PDh9SPIztRfX6WUUiqh5BVC7yGQEaNWcwnA0t+cCRej6NF3izn5gWVRPUay8vl8vPfee+y22262Q4mm2cCWuipAfNAhAHFCRPYhCZN/gCuuuEKT/wgZ0COdVy4Zqsm/UkoplYgqS2Hxz1C8CqdhNMqMDwaMgszoDsM+cc/uHPJ/hVE9RrIKBAIcdthhLFuW1AWUTYGzbQehHJpFxAERyQd+BobYjiXS3nzzTfbdd1/bYSSFrAzDxzeOYJvROpeKUkoplfCycqHPUMjOjf6xGuph6Vyor4vaIUoq/Uw8ex6L1mgjb2dMmjSJDz/8kMzMpJ1ToRrY2Biz0HYgqU57AMSHa0nC5H/RokUcddRRtsNIGo+cPlCTf6WUUipZ1FbBkrnORIHRngguPQMGjAZfWtQOUZSXxrPnDybNp+2LnfHFF19w5ZVX2g4jmnKA+0VE3yCW6Q/AMhHZCviKJCvG1NXVsdNOO/HVV1/ZDiUpnHtAL24/rp/tMJRSSikVDemZ0Gcw5BVF9zhVZbBsHtEcfnDTS2u49OlVUdt/MjPG8J///IdddtnFdijRdIgx5iXbQaSypEo6E42IZACPkoQ/h4suukiT/wiZPDGf6Uf3tR2GUkoppaLFXw91NdE/Tm436DUwqoe46ODe7D5BlynuDBHh6KOPpri42HYo0XSPiOiEERYlXeKZYM4GJlqOIeJee+017rrrLtthJIVR/TN57vzBpKdpZx2llFIqKWXmwOCNoHuMevp17wvdekZt9z4DT50ziN7d0qN2jGS2ZMkSTj/9dERiMEmkHf2B620Hkco0q7BEREYAP+GMh0kaq1atYtNNN2XNmjW2Q0l4BTk+vrxlJBsPzrIdilJKKaWioagP9BoEJsYfyUVg2W9QXRG1Q7z9XTl7X7soavtPdk899RRHHnmk7TCiRYDtjDFf2w4kFWkPAAsaJ794kCRL/kWEk046SZP/CDAGZpw7WJN/pZRSKhmlZ8LAMdB7cOyTf3CO2X+kE0eUTNmigHMP6BW1/Se7v/71ryxcuNB2GNFigIdFRLuJWKAFADuOACbbDiLSHn/8cV5//XXbYSSF647oy35bF9gOQymllFKRVtADhm4MuZb/zqelw4BR4IteOnDTUX3ZbFh21PafzMrKyjjqqKPw+/22Q4mWicDfbAeRinQIQIyJSE9gLpBUJdF58+YxceJEKisrbYeS8A75v0KeP3+wlQYBpZRSSkWJLw36DHEKAPGkogRWzI/a7mfNq2bbC+YTSNoh7dF1/fXXc9lll9kOI1oqgY2NMYttB5JKtAdA7N1GkiX/DQ0NHH300Zr8R8DE4dn8/cyBmvwrpZRSySS3GwwdH3/JP0B+EfQcELXdbzUqR4cCdMHVV1/NN998YzuMaMkD7rUdRKrRAkAMicjuwLG244i06dOn88UXX9gOI+EV5qbxyiVDyMvWX0ullFIqKRifM85/4GhIz7AdTet69If87lHb/TWH92Fkv+jNN5DMGhoamDZtGhUV0Zuw0bL9ReTPtoNIJZppxIiIZAMP2Y4j0r799luuvvpq22EkhQdO7c+wPvrHUSmllEoKWbkwZJwz038i6DfMiTkKcrN8PHL6wKjsOxX8/vvvnHvuubbDiKb7REQnv4oRLQDEztnAKNtBRFJ1dTVHHnkkDQ0NtkNJeEfsVMQROxXZDkMppZRSXWagRz8YvBFkJtAEeMYHA0ZGrafCbhPyOGGP6PUySHaPPvooM2fOtB1GtAwErrUdRKrQkcYxICIDgN9wxrkkjbPOOot77rnHdhgJb0jvDH64axRFeWm2Q1FKKaVUV2RkQd9hkJNvO5LOq6mEpb+BBCK+6+IKPxuf+Tsri7XxqDN69uzJ7Nmz6d+/v+1QoiEAbG2M+c52IMlOewDExo0kWfL/3nvvafIfAcbAU2cP0uRfKaWUSnTdesGQjRM7+QfIzoO+Q6Ky6+75adx/cvQmHEx269at47jjjiMQiHxxJg74gEdERD8UR5kWAKJMRLYBjrEdRyStX7+eY4891nYYSeHig3uz0/ikqg0ppZRSqSUt3ek633co+JLko3VBT+jeNyq7PmhSNw6a1C0q+04F77zzDvfdd5/tMKJlS+Bk20EkOx0CEEUi4gM+B7a1HUskHX744Tz33HO2w0h4W4zM4YvpI8hM119DpZRSKiHlFTpd/tPSbUcSBeIMBaiO/Ozzy9c3sPEZv1Na5Y/4vlNBVlYWs2bNYpNNNrEdSjSsBUYZY0ptB5KskqRMGbeOIMmS/2eeeUaT/wjIyfQx45xBmvwrpZRSicjngz5DYcCoJE3+AQz0Gx6V8xvQI53bjusX8f2mitraWqZNm0ZdXZ3tUKKhF3CZ7SCSmRYAokRE8oHptuOIpCVLlnD66afbDiMp3HF8PzYalGU7DKWUUkp1RkYWBBqcCfNEbEcTPemZTqEjCk7Yozu7bqrDIDvrxx9/5JZbbrEdRrScJSIjbAeRrLT5MUpE5DrgcttxRIqIsOeee/LBBx/YDiXh7bd1Aa9eOhSjv31KKaVU4vP5nInzcgqcW3YeSfdHfs0SKFkd8d3OW1HHpmf9Tk1dEhdRoigzM5MffviBjTbayHYo0fCSMeYQ20EkoyT73yk+iMgwYC6QNE28jz/+OCeeeKLtMBJen8J0Zt8zij6FydpdUCmllEpxxuesBJBf5NzSMmxH1HUisGQu1FZFfNe3vrKWC/+xMuL7TRU77LADH330Eb5kmYAy1I7GmE9tB5FstAAQBSLyIvAX23FEysqVKxk3bhwlJSW2Q0l4b14xlL23LLAdhlJKKaViJdtVDMhI4Lah+lpY/AsEIjtxX4Nf2O7CP/h2fnVE95tKHnjgAU477TTbYUTDLGBbY0xSrntoixYAIkxEdgH+azuOSDr00EN54YUXbIeR8E6f0oP7T9G1b5VSSqmUlZUDeUXQrWdiFgPK18PKBRHf7f8W1LDVefPxB3QoQGcUFBQwZ84cBg0aZDuUaDjKGPO07SCSSVL2FbFFRNKAu2zHEUlvvPGGJv8RsNGgLG49Vme7VUoppVJabTWsXwELf3KW2Ctfn1iTCBb0cIoXETZxeDYXHtQr4vtNFeXl5Zx++ulIIr2X2u8mEcm1HUQy0QJAZJ0AbGY7iEgpLy9P1u5EMZWRZnjm3MHkZumvm1JKKaUaVZc7rel//ABrFkdlfH1U9BkCmdkR3+2VU/swZkAC9oqIE6+//jovvvii7TCiYRBwnu0gkolmJBEiIkXADbbjiKTLL7+cpUuX2g4j4V1/ZF82HxH5P5RKKaWUSgIBP5SsccbXL/4FytbGd68A44N+I5z7CMrONDz6Vx0q2RVnnnkm69evtx1GNFwsIvrmiBAtAETOlUDS9F366quvuPfee22HkfB2Hp/HeftHvqucUkoppZJQbRWsWgQLZ0PxyohPuBcxWTnQO/LjzXcan8cpf+oR8f2mitWrV3P++efbDiMacoHrbQeRLHQSwAgQkY2A2UBSrO1WX1/PlltuyezZs22HktAKc9P48e5RDOmV0fyb5i7o62+fUkoppdriS4PCXlDUF9LjcDnBFX9ARXFEd1la5WfcX39nRXFDRPebSt577z322GMP22FEmgBbGmO+tx1IotMeAJFxB0mS/APceuutmvxHwEOnDWBIb9cfa6E56Xcn/0JzYcB7r5RSSqnUFfBD8SqnR8CqhVBXYzuiUH2HQkZmRHdZmJvGtUf0jeg+U83JJ59MVVWCzCnRfga4Q0S0Ca2LtADQRSKyGzDFdhyR8ttvv3HttdfaDiPhHbRdNw7bobA5kXcva2NoTvrF9Zj7HloWBtpbHJB2bKOUUkqpxCECZetg8RxYsyR+hgb40hrnA4hsTnbsbkVsNEgnBOysBQsWcNVVV9kOIxp2Afa3HUSi0wpKFzRWoL4AtrUdSySICLvtthsffvih7VASWl62j1/uHc3g3hmhCb647r1EwNf46+h+TcD1eECcP7Dex1vsi7Z/szf0vFJKKaXiW1o69OgPRb2Jiz/qxSth7bKI7nLmV2UceNPiiO4zlfh8Pr766iu22mor26FE2jxgvDGmznYgiUp7AHTNfiRJ8g/wxBNPaPIfAVce0pvBvTJCE313673377Q0JvZCc08BkfCt/009BUzLQoJ3G+/rW3u+NdqLQCmllIpP/ganJ8CiX6CqzHY00L0f5ORHdJcHbNON7TfS5d87KxAIcOKJJ1JfX287lEgbBZxuO4hEFgclw8QkIj7gB2AT27FEwsqVKxk3bhwlJSW2Q0loGw/O4vvbR5KZ7vrVMiZ0OZ/g997uck2FgDDPuXl7EbTWq6A9Ew+6eyW0dkjtMaCUUkrFt7xC6D0YMix2m6+vhUVzQAIR2+Wnv1Sx4yV/RGx/qeimm27i4osvth1GpJUAo4wx62wHkoi0B0DnHUaSJP8AZ511lib/EXD/Sf2d5N+Y5iQ+4MnORULvg9yFApHmm/t79/7cjzXtw3WMcK3+TTEQPvkP12sh3GvDCfdapZRSSkVfZSks+hnWLrU3P0BGFvSM7FLtO4zLZf9tCiK6z1Rz9dVX89tvv9kOI9KKcJZgV52gBYBOEJEMIGlmynvjjTd44YUXbIeR8KbtVMgu4/OcRD7gSs7bHI/vSfTdhQP3NsHHvAk/hE/gg3MFhEveg7EF5xIIPu7ddbi4ww5hCPO49hhQSimlYkukccWAn6B0jZ0YuveF7LyI7vLGI/u1Ou2R2rDa2lpOPvlkJNxnyMR2mogMsR1EItICQOccD4y0HUQkVFVVcfrpOoymq7rl+Ljt2H7ON+7W9xZJtWm+b20ywLY0jeuX5mKBSGjBQaTltsEE3eB6nTsuz7ZtLUsY8MxP4C40tLVaga5OoJRSSkWfvwFWL3ZWDKgqj/3x+w6N6KoA44dkcezu3SO2v1T00Ucf8eKLL9oOI9IygMtsB5GItADQQSKSQxJ1OZk+fTpLliyxHUbCu/7wvvQrTHe+cbeGt5iQL5hgS8sl/9yJtVfYlv8wQwC837uHC4Qk7hL6moA0FwfccYfE3vi4z4TOO9DeCQa9hYLWaJFAKaWU6rraalj2G6yY74zPj5XMHGeFggi6+rA+ZGdqN4CuOP/886mqqrIdRqQdLyLDbQeRaLQA0HGnA5Ed4GTJokWLuOWWW2yHkfAmDsvmtL1clelwibH7e29yHdI6T+u9AFqbjK+1ngRtFQ3CTUwY0ougtX3ibBeux0HTvmi9gBC8D3ec1uYcCBePFgmUUkqp9qkocXoDlK2N3TG794OsnIjtbnCvDP62T8+I7S8VLVmyJBk/96cDV9gOItFoKa0DRKQb8AeQFP8DTZ06NRm7A8XcFzeOYLuxOaGJfHACXHdPgIA4refhWsvF81zw+baS4vZyJ/vhvm5rfgH3NsHng3EGYwq49hHcj7cnQXB79/lsqKBhPK8Ld6+UUkqp9ivoAX2GgC8t+seqrYIlczc8vLGdiiv8jDjlN0oqLU1ymASys7P59ddfGTIkqYbO+4FxxpjfbQeSKLQHQMecS5Ik/x9++KEm/xFw4h7d2W5MdmPS2vgHLkBjcuruZo/zYMD1sPtrdwLd1oz8QnNxIVxPgw3NKxBsxXc/HhwCEE64Vv5wEwe6Jzx0FwsC4tne0/If3EdweEK4cw4OTwjuv709IbSXgFJKKRWqfD0s/gVqKqN/rKxcKOobsd11z0/j0r/0jtj+UlFNTQ0XXHCB7TAiLQ3tBdAh2obWTiLSC1gA5NuOpasaGhrYcsst+fHHH22HktB6FqTx6z2j6Nkt3dVKTuiEet7W9dZaysMlte6iQnBWf9dDzuOu79v7dTjhhia0tm24ngOtnWdb5+29d8cZEluY3hHe83Kfm7uXQPC13nP1vkYppZRKJcZAjwHQo190jyPiDD+oq4nI7mrqhDGn/8aStfUR2V+q+vDDD9l5551thxFJAWC8MWau7UASgfYAaL+LSYLkH+Cxxx7T5D8Cbp7Wl54F6Z5WcAkdZ9/0uGsbcd03P9H8uqbXNz4V3I939n1o7g3gfizYS8CbEDclxYQeWzzbbqjl3D2xYLj5BLznHO7xcNu3dlxv8QA8xQoJPbdwr3X3cDCEXl+llFIq1YjAumXOJIENUUymjXFWBYjQH93sTMO1R/SJyL5S2VlnnYXfn1RDKXwk0STt0aYfgdtBRAYB84As27F0VXFxMaNHj2bdunW2Q0lo243J4bPrhzuNy8bVFB3Scu56PJgkC6EJbfBFTUl0mJZwb7IbbA33TuLnPnZrrelhQmuzh4C7kOB+LjhpIDTG4y5yhNlPU4zhrkcbcYZ7vXc/EFpwCcYanJugrevp3sYde1vDDDryuFJKKRXv0tKh7zDIK4zeMdYsgZLVEdmVPyBsdvY8fl4cw5UNktBDDz3EKaecYjuMSBJgU2PMz7YDiXfaA6B9riAJkn+Aq666SpP/LvIZeODE/o3JP6Gt18FEHMIvu9c0N4Dr1qIngOeAIftwzyNgGpPeMGMDvAUC9z6CyXE47lb0tpLd4H7c+wrXAu/+3n1M94SC4bS1fnDTkAFv4cHTuyD4vPe4wTiDyb97voKwwzBc9x1J8r29LMLdK6WUUrb5G2D5PCdJj9CEfS30GggZkfkoneYz3Hx0lIcupIDLLruM4uJi22FEkgGush1EItACwAaIyCjgBNtxRMLPP//MAw88YDuMhPfXvXqw+bBs5xt3F3xvd/xwY/bxbBPcLtBKtujtuu/dQcgfam9XfBN6DGhsuSe01T7Yyu9OjkPil5bn4o0nuL07XghNmN2Pewsj7se8j4d7rMXSg57hFsFlCn2GsL0EvPMPNBUDWh42JL6A5xoFjxXuHNw/NxPmXimllIonJaudWfsjNF4/hPFBn6ER290+Wxaw48Z5EdtfKlq3bh3XXHON7TAi7RAR2cx2EPFOCwAbdg3O7JIJTUQ4++yzk228T8z1LUznusP6hCa7IV3k3S39rse9SWNrmraR0ISz6TjhMnRomn8gWASQkJ15eikEN3V1fQ80vjb4P4LgWsrQhMYeLBZ4DhGyqoF7H96Q3fcdaRFvsW/XuQW/DvYM8I79b613QJC7x0HwNa31kvDyhRlmEI53eEa4XgHaM0AppZRNtVWw5BcoWxv5fecWQGGviOzKGJh+TORWGEhV9913H3PmzLEdRqRdbTuAeKcFgDaIyKbA4bbjiITXXnuN999/33YYCe/2Y/pSmGNaJnDe1uBwiZy7dTwQ5jn3fXAugGDS710+D1wJrLRMsMM2zwdjDdOK7X7em5m6X9O0O3dLOqHbe5ftcz8d0huB0IJA2B4Crtd7iyrhuCdRdD/mLgy4Jy90FwLCTWronZywtefCteq3dV7ebXBtq5RSStkUCMCqRbDyDxDvB5Yu6jUI0jMjsqtJY3M5cLtuEdlXqvL7/Zx99tlItIZ+2PFnEdnSdhDxTAsAbbuUJPhIXlNTw7nnnms7jIS3y/g8jtihsPmBcC3b7m73wQQx4Ho+ePMRmhQGXF83jV33vCbkOJ59usfjt9bVvsV/7sHHPD0Fgvtuer33wK59unsHhLSiu14W5C1+tNUDINzfIW8LeWtDI7zfu5P+kOJHmITffV7hVh9wDyMIWZ1Bmu+Dj4XE5C0kuL4OSPvO3/tcuHNXSimlIqW8GJb+6swRECm+NOg9OGK7u/HIvqS1Np+Qapf33nuP119/3XYYkXa17QDimRYAWtE49n+q7Tgi4c477+SPP/6wHUZCMwbuPq4vJmymJuGT3WArPoQm84bQ2fXxbuNORlsequkWbh/u14RrlW7RDz/cc8EYvP31CU2im+YckOaXB7kLCN7HmxJ3T2u9OySfa3vvvr1FA28ru5d3jH6LVvkw8XuXcvROShiuoNLUKwJaDEEI6TngicPnel3IMcJ831oRobXXaYFAKaVUV9RURX5egPwiZzhABGw0KItjdiuKyL5S2bnnnkttbVKtqrCviGxjO4h4pQWA1l1AElyf5cuXc8MNN9gOI+EdOqkbE4Zk0XLcvSthbpEQur8RVzIroUlwa5oSVQn9PshHy9b0cK3iwYS0xaG8GXTTxs0t/02bhEmA28o03a/3nqt7n979BnCS5gDNBRH3OYYT7tyDr/PUL1qctlvYYoOrZb+p94CrMBCuCOAubAQnGPQOM3DH7b023oKF+/y85x3ua+85tVU8UUoppTakvtbpCVBTEbl99h7c8jNAJ527f2TmFUhl8+fP584777QdRqRdYzuAeJXwCW40iMgA4FjbcUTCxRdfTGVlpe0wEprPwNV/6d3yCROm5dadKLoTv+B2wZ4BTQ97EvNgwh+S+Lm62YdL+N2v9fYKCG4TMjRAQvcVMgSA0AJF8EFvl3bT4ovG/UpzEuz+w+4ufrQYp+9OphsDdhc/wnVYCFc8aZq00LW9txNDW+Ps3eG4E+WmMfruHh2e83Ofm5d3O+88Au7HjOs4Lc7PXUTyPO8dDtL0fmnl5xau2IHrMfdNKaWU8jfA0t+hoiQy+8vMgW6RSdzHD8liry3yI7KvVHb99dezfPly22FE0l4isr3tIOKRFgDCOxeIzAwlFn399dc89dRTtsNIeEfvXMjYgZmNLcquVuCQyeQaN2762pWsubMoCfeYeLb39DJwJ6bexND9vTv5dyd4Ac9jwe99rudDCgJhNPUgaKUZ2lsECT7WVNBwnYRxBRmSCLuC9ra0h01YPd3q3dt5z9Xb8u2dXyH4mnBJdPB1rV33tniLQBB6zk3zPUjo9gHXc+7XBIsA7h9Di/kGXM+7Vyjw3sLNF+Hef3uKJUoppVKHBGDFH85ygZHQcwCkpUdkV9oLoOsqKyu55JJLbIcRadfaDiAeRabvTRIRkR7AYiDhFxfdfffd+c9//mM7jISWnmb47e6RDO+VEX6sebDVPZhMu593t+pK4/dN3eJdz+F53Ksp2XQ1Y4ckxNLc1dy08pw3YXOfi3jib3qt93zCfG28FySMpv2G27atx1zPuZPhkLH2nnN1Xxvv8d0/K2jZWyLs+Xkeg9Bww/0PKu14vGmoQCvburcJ93hrvD0vvM/5XO8F7/dN+yf03Fu7ni3273nce92UUkolj+59nRn9u6pkNaxZ0uXdiMCEs+bx0+IIzlWQor777js233xz22FE0i7GmI9sBxFPtAdAS2eQBMn/+++/r8l/BJywa1Fz8u9tJQ/XRdr9vbuFtaklvLXtN5DUhWwvrpblxp2HS97d+3W3jLfoRu6Ky3tO4VYicO86uFpBuO3CtqAH4zHN59LimrhfZJpfK40H9c6aH3INXS3uTccPtp67tnf/bNxDLrz7dF/XcCsbhHuNt8Xdq+la0PLHbjwJevAx932LIRS0/X3IMAPX88aExuLtTRFy3d3nJG2fX9O5hDk/rw3UjpRSSsWp4lWwckH4QnVHFPWGzOwuh2MMnHtAzy7vR8Hll19uO4RIu9h2APFG22ZcRCQPWAQk9P8gIsK2227LN998YzuUhJaVYZh390gG9cxwHghpwaW5Bdn9dZA7GfR2Lcf1mHv7plZ4z47cj7XoUUBzMteUMIurxZ3QfbkfC9fKHeSeYNC9fbhdtdVa7H7cfb28hQQIvWbt4j1oMKkNl6W7e0a4kl/3a4KPtbhs0tyzYkOfc9pqPQ93zl6thO68xtNroLUeAu7XBeMOSPjWfnC9f9rxXHBf4eZ3CB4D1/fu6xauh4X76zA/Tv0LpZRScS6nAAaMdJb366yqMlj2e5dDqa0Xhp70K6tKIrhsYYr65JNP2GGHHWyHEUmbGmN+sh1EvNAeAKFOIsGTf4BXXnlFk/8IOHXP7gzqkRGavHtbhoXQRDlcSzthHvP2JHA/1tQqL56EyNVCa4JfuFtvPa39uF4XLil2n4tXawl6uAKG97p4r1fwNe45B7z7bUpYvfGY0H264xPvQcM95vre3YugxSoGrVw7N8/uWhR58DwfLHq0dZ28+26ryNJidYANJP80vib4uuBrwk3EGO4+XGGgRYHKxbucYcjcGK7twn3tLQK0VTxpTXu2UUopFVnV5bDkV2io6/w+crtBXmGXQ8nKMPx17x5d3o+Cyy67DOlq7474cr7tAOKJtq80EpFMYD4QgQFN9vj9fjbddFN++eUX26EktJxMwx/3jKJfYVrLVkxoTqbck9SFa70M/t/pc33dVsumN0n0NT7o7rLua6XlN6Ql230f3DEtv28165SWyV6rLcWNr3Enc8HW/nCtvN5zDVcswPPa1oR9zpuNh3nM23oetjXdE0zINqbVy9aunhGtaatnQLgCzIZ6ErTrGrrOy9urxHuN3MduOlaYbcIeh5bvB3dsG7pOHd1eKaVU7KRnwIDRkJXTudfX18Kin1svbrfTmrIGhpz4KzV1SZW8WvHOO+8wefJk22FESj0w3BizzHYg8UB7ADQ7kgRP/gGefvppTf4j4My9etCvKN2VEDU+4R5/HiwMuJMQ9/PuhMU9Rp4w902vp2VraLi5BHC93tsd271SgVvI9+LZT5gM032skGEG3qZr1zUKzgngjickUXZdH3fruLdlPFzLcWtaXNfGB6RxB03XwtUSHvBkj01Pt1Lg8J5202Oeaxzy85Hmx8BVfHF9752vwD2fgvfcjOsW7nNNuMeCqwC09nxTXK7E39sbwBtvQFpuC6H7CMbbtH/P8b1fe9/v3vMPVzgIt58NCfd71+Jnq5RSqsMa6mHpr053/s7IyIKiPl0Oo3e3dI7apajL+1Fw6aWXJlMvgAzgTNtBxAttPwFEJA2YA4yxHUtX1NbWMnbsWBYtWmQ7lIRWkONjwT2j6JnncyWiYVpJg1p7HFpPvgzhx1J7t/P2HHBvF3zO29IcfC5cK7w3nmBvAHfSJmG2C3cuxrsxNM8sH+6FTRvRXGDwnnuY57za6ITQahd690oN7uOFnIK754Pr+6YVFhof8ybMTT1EQi5q6MGCsXl/5uIJKNw8BOGSX/eqDe5ihvdnvKH9tLdnQHuf9/6eeHukQOhj4fbZ9DUtf0bhLvGGHg9eI18r11b/CiqlVOQYAwNGOd36Oyrgh4U/gb9rY/jnLKll/Jldn1NAwcsvv8xBBx1kO4xIKQUGG2PKbQdim/YAcBxIgif/AI888ogm/xFwzt496Jnva5kYGBO+pbQtTS2Y3tZU2u4u3eL1tGz9Fc/X7lZz94R77huEWcnA3TLtas138y4l6E3q3C+Xxi+C98G7kE1bacL2JtPe2MO93J3seVuMhZbJf6uvldDHW7TyB5P04Aaur729K9wHaWrZpvk6uudlCCkIuI+L62fjuV7eSSd9ru+9RSH3ebpjcm/rfU+5z9vbC6Yp1lbe/9LK8+F+Z0ISfldRwN3TwD2HQdN+XPsIFmeCib57roTg7r3Jv/fH1drXLc4ZpZRSbRGB5fOduQE6ypcGPQd2OYSNB2cxZYuCLu9HOSsC+P1+22FESiFwou0g4kHKFwBExACX2I6jqyoqKrj++utth5HwinLTOGfv7q18+A/z6b9FN/ow99BKa2krQbR2HG9M7qJA2P0QuvRd8OZzPRbU1FtAaJEUht2/NLeMeyctDGotoWvRTO1KhpsSOBPydIvz8l6DcM8HDxPsDRGuiNLa/sK1EgfjavFaTwIvnsel6Z/QYou3y7y7F0DwhU1fm+bXtkhiTctrBM0/e29PEPHcwiXFIdtL+Ovs3pd3lYqw5+d+nbT8nQj3exPsURKMyb3fkNfQ3MrvLli4iwfuIlE43qJJW79brb1eKaUUSACWz4Oayo6/trAXZOV2OQRdEjAyfvnlF2bMmGE7jEg6W0QybAdhW8oXAIDJwBa2g+iqu+++m9WrV9sOI+FdsG8PinLTWraQBsclt9WS31q35tZmW2+tpbRFi7DnMbfWxktvqCjgPT/31+ESYHei5V5Cz7vvpvNxnXNwp97W8mCS3JQsBxNc07wPd+IcfFFT7K79uA/lfsyd+Lsf9ya7bu6iifvc3D0TQq6zJ8nE+3jwZ9T4fVMhwX0dvEGJK9YwWWtIbw53TN59SHOPEO+5uosh3p83rufCvUe8b3P3+9D9WEjMngsddoLBMG/cYJEpeO+eiyDYKye4r4DrnN2Puc/Le57httnQOYe7Bm0VC9oqPCilVDIKBJyl/WqrOv7a3oO7fPjdJ+Sz6dDsLu9HwdVXX01dXRdWeYgvQ4BDbAdhmxYAkqD1f/369dx66622w0h4vQrS+Nte3Z1vvK2A7gQyZCJAWnZVdmtrjLQ7iQlpIW+Dt3W0rcJA03au14Ukjt59u7cP83jwa++khMH9hSS/7q7t3mZVaFEQcR+36bxaa5r2CJd0hxzDFas3kfeer/c+JK4wp9JWQSHkda5WaePZ0NsjIfj+MuGuG80FBXfPgaYvjes5989Amn92bu5zcu/TO2ml+9qF63ER7m3obXFva8iAt0dAW8NjQn424notzQUBd3HAOydFa0MRQt5HrZybe5u2Ev4WxY8NbK+UUsko4HeKAHXVHXtdTj7kd+/SoY3RXgCRsmDBAh5//HHbYUTS+Y09wFNWShcARGQSsLPtOLrqlltuobS01HYYCe+SA3qSn+0Ln+x5k+Nw3Ym9RQL39u4Ey/uatoYWuFs+vc+3Nut6OE2JoefY4ZKbkOPQ8lyDLcrulmWf5zXBrvwhCSvNOwl33sHW/6bn3NfKda7hHmt6jfuH4MnQ3T/DYLLZSk7aMi5C3w/Bc/ceMuQY7nvxhCSh5xju/eRu2W+1QuHaD43XnOB7Q8KfY7jEvuk8Gx8IzingfX8ILecfaFHA8FyDcNcHzzbg+Z2R0G3cfCb8c03X2ZPsh+uJ0FpvhNauV2s/Y+8t+HhwzgHvj6uzxPN1V/enlFKx4m+Apb9DXU3HXtdrEJiupSmH71hE36L0Lu1DOa677jqqqjrRmyM+bQ7sajsIm1K6AEAStP6vWLGCe+65x3YYCa9/UTqn7eFq/XdPGudd1i64jTeJcnez9iZIhuakAMIkIO6vPcmPcT3ubt10PwZt90AIlxh5E4kNJRXuJNhbHGkt2fH2FGjtmnqHCwSfCGnB9p6L66DebvbunXuLDyEH9hwyqLUkr7Vz8m7v3Udb3AUVT2ghx3Ofj3sjb+8CoZXeJGGCdPcm8B6jqaeHNH/v/vmFS0SbesN4Duu+drTxfYvzJTThD8bs3tZ7iq3NPeB9/3ifd/fGCfe74n6fttZbx/szb62o1tb7xfu1dz/am0AplWj89U5PgPra9r8mI7PLywJmZRjO2Ft7AUTCihUruP/++22HEUkX2A7AppQtAIjIaGA/23F01XXXXUd1dQe7VqkWLvtzT3IygsmVKykKCpcsh2sZh9AP9O5kpmkpOVyt467tAoQmYk2zm7tbPMPsI/i4+z4o3Nhq79CB1hIqb2LinmE9XPLn3tabpIRLpL2vAecaeBOxtl4Xcq09LcPusfPeVQzcBYUW5yPNz4fsw7VdwPWY+3xDzjnM/r1j8YOPeZNe92tCig3i6nnh/Vl7YgkJ2rNfGq+v+/kWPS9M83wFLfbtSZDdQQSfd1+n1hLetn6m4fbfWsIc8J5DK/vzDjFwJ/ttzVHgHa7T2nZewWvQVs8C97UNN5dCa+cS7nmllIpXDXVOEaChA2PJu/d1VgboglP36kF2plZNI+Hmm2+mrKzMdhiRspeIbGI7CFtStgAAnG47gK6aP38+jz76qO0wEt6QXhmcuGuR64N4mA/5QcEEydsS3pSU0/I5b+HAky818XleF+RNokLGShOaJLu3b3qdNCf9rQ0l2FDLZvC44cZmh0tuwiV+rbVqN8W9gX221prqXsHAfezg8+J9zJ3wuZL9VpnmBDD4s3cPqQg3QWQwgW7tM0dr7wHvNXFfm3DXMtxx3bemZN7z2nAT8LnnFAhuHNxH8PGml3m/ltCXBn/AYYsyhMbUVmu6N+F3/54R5vlwv19hr2+4hFxC4wvG613+0z3xoLdI4L73ft2031Z+XtDyernv3eeyoUJcON79hXtOKaWiqb7WKQL469u3fVo6FPbu0iF7dUvjmF27d2kfyrF+/XruuOMO22FE0nm2A7AlJQsAIpIPHG87jq666qqraGhosB1GwrvsgJ5kpXuT48ZP200PBRNFPI83amq5cyUW3m7Q7ntc27gLBe6vwyVuwWOBJwl0vdZ9H24GdO9ka231CPB+v6ECQsgxPOfqTmRae879fbhr4d1HMCnyFl7wPB+8Nc0X4D4X4/pemr/3dulwd7V3B2VcB/Ymli0SfQk9p9YSXG8C770W4d5Pba5eEOY4wXP2exN813vdBB8PPiah2wQLItD8nPc6uhN89woSrV0r7zUTaTlppc+zXXBb7/Xz/h55i1DeYwdjDNlXmPf8hnoNeIsD7oJBuCUT25qPwtszQAgdTuQ9H+91FM/z3qKU+/2glFLRVlfjzAngb+fn1wj0Ajh7Px0GECm33347a9eutR1GpEwTkYG2g7AhJQsAwJFAN9tBdMWvv/7KM888YzuMhNczP42jdihs/M7dEirN901cLX8tuD5dh0s6vB/Cvc+FS1i8H8qFlmPFg4IJUbhEpmlfYRIZby+BcM8F5x1wP+cVdm32VjKK1hLkFq8P81y4JCdc4uhOpjd0XJHm/wlDjilhEiN3su+KNfi4eHcSJkvbUJfxkM09vQi8SW64r1u7RuESQEPjubvib/H+c51vsIgRErMnqcX9Ogl9jXt/TbEEi1DeYwevpyshDz7vXXUiGHdwGI1bsEAU7pqEOZ0WPWqg9aEM7t8f775aW8nAXTwIN8FnMObgccPF5/19bO3/jRavDfO1txCyod9PLy0cKKU6qq7a6QkQ8G9427R0KOpaL4CNBmWxz1YFXdqHclRUVHDzzTfbDiNSMoAzbQdhQ8oVABqXfTjDdhxdNX36dKTNbsuqPU7atZCcdDzJL7TMLlyfqptacoMfvCX0Q3TTfjwfzFu0eIZJNLwf4r2JbGs9BNzPB/klNBFomritlWQm3D6bWi0Js4SchBZEQrpQC232KuiMcMlba62+wesULvHD9Rr3ZHbuCQeDG7mPFXB/4/2hNR40pOeDZxtvq3HYFtngz8x9TcMcynu+4R7zFge874WQ8288jrcQ0hSbtP3e8w4BMN43rffaes656X0kLWMN7j8k2Xb97rXW+8N9PbzFg2BY7p4FwWvhfr61a28IPS33qTZt7/odaGvugeDjwceC5+r+/QouZdjadW/aJ6HXLOTefa6en2eL2Nt4zBtDaz0plFKqLbVVjUWAcOsSe3Tv1+VeAOfsr70AIuX+++9n2bJltsOIlFNFJOWqQylXAAB2AcbbDqIrFi9ezFNPPWU7jISX5oPT9uzual2Ulh+aITRpxvUh253IhSSHjbyttyEtme5sJXiQ5s2akxlp+WE85IO85954vnZ/yPfR8kO/e7/uY7t5E0qgRULvTnC8Y6aDj7f2Ou81D9eturVeAa0VA9znFe5Se69B8GccknxKy+sUTBC9r22K3/U+Cbhe1PSUNG8nnlvwIE3vjXCZu+ug7uS8tfOElks0urcLlzC7z7WtpK+1VnVxPSiuJ9wt+iFJv6uIBKHXI/g7YBp/uMHXN/1uuU7Y24Mg5HfNFaP7nH2u7YNfe4sgwde4twl3TcJpcziN63F3b5umOQbCHKtFEck0X8cWvUVMy9c3va1cvQ+C+3QPLQr3/4Q3ZlzbeN9X7S0EaMFAqdRWUwnL54FsoAjgS+vyigC7bprPkN4ZXdqHctTU1CRTL4BC4ETbQcRaKhYAEr71//bbb9ex/xHw5y0LGNKjcX3YVv/2NCZawQQEXB9ygx+eXcmIuD8NE/oBm+BTwUTIlWG0OvmXKxHwTgTnTVDc5+HOHb15pPc4rT3mfU3IvhsP2GLCvTBJrbebc7gx1K2NnXZv0xp3caC1hMI7hjpk/7Tduu3NwcMVFlocN/iekJYtyuF+Fu5zCWlFdydnrlZibwu7t3jhFlKwkJC7sImbuF4TLgn1trYHjxHCtNwm5DxpOXliSOxh3hfuoJt6BEjodu7XeocDBH/n3Mm09/it/fybYg7zvPd3pK33oXe/3t4gLVrtw51fK4+7ew4Ev/du5+5FsaFiQ1vJfGvXKPhcewsBG/jVVkqlgOpyWLVww9t1cS4An4FpOxd1+vUq1OOPP86aNWtshxEpZ4tISlWHUqoAICJDgD/bjqMr1qxZozP/R8jfJndvPckJft30oT+Y1NIy2fEOBWhKJBo/Cbu7N4PrMcJ/MA8mOC1aTsPwJm5uwWTEnRh6x04HH3Pvw3vzHqspTlr2OAjux33vTm7cs+e7E69wyxUGX+MdauAVblI195KF4fYbcgyar1OLfYf53psI47lvcW6Efh02eQ7TCt6U9Ae39ySzTQmt5z3kPTfc23kS65Dih+uxFs954g+JIdy1CBNryPvAG184xtWLwnsQXEU517X2Fjiaeg64gggpsDTyrkARUuSj5cSb3qUb3ecY7neytfMM954OHnNDyXGbP3fPdWrt96u1ONznHPzeU3Nqep1xbet9j7T2f8KGtLVde/ehlEoc5cWwfkXb20SgF8CRWgCImOrqau677z7bYUTKEOAg20HEUkoVAIBTSfBzvvv/2fvyeDuKKv9v37dmT0gCWUjYCfsigggCsgoKCqIoM/qTmdHRcdSRcRxF0dERHdQBRUVcUJHFDYcdNaggILLvaxIISci+r+/lbbd+f7yuut86darffvvem/v9fN7r7upaTtXtOnXOqVNVV1yB9vb2vMmoehwyuwXH7TcqnLmy1ywhM4Ev6HN6zTgAlBRfN0NHSgbPFltPgkBQlwSxwYDKkso9z3ha8CylE9jTSLFlAoCu8GhkxbwNpDHBKp3SsGCVfVYq+Ax2zUuAywF8pae/MOJe1lG7l4qOvNfa3l7tuwJKSp/Lg74JWTYrX0WKHxQqEnEcq7TJOtsr/z5SyXfZmnhfkXkBYVncj9gw5Wbujf9tZn5UCdEj+oSXhL4dT0mmOiUJ/T5CcdbaSyWNaNGOLMyqTqSrq+0cLDNSEOszHK7t1yHDOLn9dixfC5ZD9aM+WXH6g8GkqaOOOioX65YDWzdkxxmiF8ABs1pw2B6tg05fh4/vfve72Lp1a95kDBc+kjcB5URVK8MDgTGmFcCH8qZjKNi0aVMtWdtyxSdOm1TSrwKlWUAqtJpyKONzXHbL5d36Wfm2z0WbKM3I0UfalyeMyxlzexXaoqZEea7XaTw5mx/MVCtlWQUu62x2npm3eSXQlfRg9hKlTdBsGCt6mlIXm1nV7mWdou9YYRJpXFoRBvEuiVwBMXNsSt+DbCKrICdJyME9t3YxHe25h6O3TdlApC1DYc8ENhi4b1KpZ3/6i/vWKY2jC377ePTA/w5dvhQ54Rfw68z5yQ0srfJvBMFeGbYNxLcnnRR4jwKtLvKbkd+ArDO3q9cWxo8bc+d37+gb4DhZSw9i/Ubjl1yP4Ls1pXfcHzQvAe13l3Ec7ZG4GvoTp4466sgPKxf1bg4Yw3B4Abx54pDS11HChg0bcPXVV+dNxnDhzcaYOXkTUS7sMAYAAO8BMCVvIoaCq666Cps2bcqbjKrHTmMb8HdvHC8UYITCoRS4pTIr0/FsphTUNQUoSCtm83hmTs7E8iywp4Qoyg4gFANSdriu/NqLakJDhS1L1lPmpykCCUqGEKtUFo3fRjZPXifOiphtL948zVPUlPbhsED5Y/qk0YTCC0moZNl2ktC+K1bk5Iy6VICs4SNWhmcIMqFCBVF3zxUcpNArSiEX2JeBLKuO3vdh9DxkG2h9jsuwfYzf2+9T67OgdEyL5jofq5MtJKHGMPA9A7xvVNIgvuNYOS6N8enV0nAfTyLpJD/R6mi/MY8fUL1kem+GX3w7bOiTyyacAULkx2XIZQeS1iTyx+XUUUcd1QtT7N0UsLsrHmeIXgDnHzdxwA6CdcRx2WWXobOzM28yhgv/nDcB5cIOYQBIj/6r6nMe29vb8a1vfStvMmoCH3rzBIxqZsXKRO4jGWhKb6DsCLCgGszagmZ1URKsJT1Mk1Wa5cyjpySRAmjopaYcuLwsDUJzYmUHKK3NZsXD5i3/2DvAptVo0CAVZqa/x/jlFxJf+dEUDNA7VsiswiL3DQiMB5yvUd4rCp6tpzarGVNQ3ZF0preeHL+gxPe+CyVvphdEo10jb397bcNGJlCmh1HiGTpmjr+rxG8/pjFmgAL8Xfntd1Cge2lskEYnbnc5+wyIJTGycNHIXvvIdkjo+D5ZL9t2lJ+kg8Nsn5N1kKRJY6Nsz6zvIugn6TVR6iHL5ZMHbFpjfIOcVPhdHU0prdy00EIaAoIjSJU/rlMW+hNnKPHrqKOOoaG7C1jxCqInAxQaeo0Ag8SMnRpx0sFjB52+Dh9Lly7FL3/5y7zJGC5ckHqM1zx2CAMAgDcAOCJvIoaCn/70p1i9enXeZFQ9Cgnw0ZMnCuF1CBk6oRn+VY2LUFhlgV0q8VocTWGya5bZg8CI90HepGCwMC4VFW/WT1EMTfqPZ6p5Zo4VHKdgCQUoVk+r7EqXb9A7q9gUgcDFmOlhugMFk2bFrdLKSor0FpAbqmkzpxKsYMqZVFk3WQf2OJBKn6boeeWJPEHpJKmeMiq+a24P+156pUjl2e3bIOiQ33Ds93LtRbTZ+9hyFEBXiuVvLtsCIq4rj79z+O3hrsq3HxifqAJu3TzlZSgNE8xBRYqv0a7VAaDlNiI/RO5jngLes/GvgP/tS2OCjGufvQ08qa9JwwIbE1QeqNEYeXaGH6PHlfdZxqk66qhjZLB9W/bJABN3HpIXwPvePGHQaesI8Y1vfAPFYh9HOVYHdgJwbt5ElAM7igGgqmf/u7q68I1vfCNvMmoC57x+LGZPbvQFzALd2ysraprgygKu59YaKTgmrPP72Pny/D7R4jHdEDtyE31OMU/0utmZWq6Lt/s+3QfKI7eXVg+TpiHNUzNWuHLFvc2TZ37lfgWybI0O1w6Jrwh45ZFhyM5qaqcQRGfKRRzpJWARW2oQK8PSJOvDYdIQlYi4QdqUNh63uW3dSRJMq2YwsXHo+2FFmA0r0ZlhjVb+VlH6FtgAoc1UZ31T2vv+GPC8egtl19EEP9xWxr534ZIGJpCNTqZUP/daEKnyJ5TS2N9TKsz8LI8YhbiP9dU+6TChcYgNZwEfNeG9zYv5NHsbAOH+Fm6vERO+t2EuP4RtE6urZmiQ6Ot9HXXU0T9knQwwRC+Adx49Aa3NmQy/jgHghRdewB133JE3GcOFD+dNQDnQmDcBIw1jzDQA786bjqHgl7/8JZYsWZI3GTWBj586qfdGm0XTZrBYCC2a7PWyDBZsXZi4Mqxgycquy0fJw6axgn1BpHPvjf/OCuNSOYspbu69CAOlsYqfzQeaYM/EJ6J+8BVyVl44GbeFtoGcFM6NCOO2jbk3AyWDAKd1YcKgYuulGQh4zb1nLIDfpjzryd4YWUe2ae/kNxSUJeJxur7ieAq7CX8rrY6AYhSQ7WRK3itqveh74v0LjL2xaTX6iTjZNtKAxOm1Ngy+GROmJZJK99w3uEoxLdHyHTYGAH5/8jIqFSqP+JRtwh4ZspmlQYDJ044O1eqs5atBMz72y5hmyxOGABkG9PJpaQi1KAj+Iz1sYvxHa9vI5xrSrFepDh1FA2xtL2JLew+2tBfprwftnQZjWgsYN4r/GjBuVAFjWgr1td21hnXLgeZWYOyk8N3EnYGNq4Ge7gFnO350AW8/cjx+88CmYSCyDgC49NJLcdZZZyGp/k54nDHmgCRJXsibkJFE1f9KfcEY80UAX86bjsGiWCziwAMPxEsvvZQ3KVWPQ2a14KlLdit99J6wx4oq+u4ZUpmQio00JkgBNYtBxhQ8DVIBiYVZFODXUZtFZ0WZFWFP0Jf1zaDDKUJp4kBRoLbx4oo8YkqHLF8qK1mKEa8v14wFou49PcDWjiK6iwbjWgtobkz89I6+JPzdY99Af74JC/ltSEMLKzccP/ZNxNoXkTALaXDSFCf3AqWXMeWOf/fgO0jTOnr4GxLalvsupbGA219kLenna18eJ6B49l5tB1EW08H9iZ+9RDat1ob0Q7GC79VTfjeCDl5qY2m3BgOt78WMHrKuHD+mGMf6DsdR6y2g9aesPsHP7A3AdMk0kkcURf5ZXThWZ+33qnFs7zRYsKIDLy3twEvLOjBvWSdeWtqB5eu7sKW9iG0dxT5/bg2FBBjTWsD40Q2YNaUJc2Y2Y7+ZLdhv1xbsN7MFe01vRlPDDtLItYSkAMyaA7SMDt+tX9FrJBgEbn90C97+1cVDJK4Oxn333YfjjjsubzKGA1ckSfLJvIkYSdQ0JzTGNAFYDGB63rQMFjfddBPOPXeHWI4y4vjxP+6CD54wIXyRJYjF7r1ZKIQ9ydswzwqJqRDJzzZubCa4L7Cg3p+4sh7asw1j5UcTxgxKR8lJ5U7qL9JQEihgaT5yo7iEC9e0fKVeWcqHeGcMsHxjd68QuqIT85Z3Ys2WdNZpe++s02a6b+v017g1NyYYZ2ej0uv4dFZqwugG7LVzE/ab2Yz9ZrRgr12adOHTUzgzfvuYESErPkMzSmUp+fadzD/W3lrbZynOmtKdadkR8YJ6RzQoF0+8l+Vr7718wqyjI6hGlrzy2vyA5kh4zADg8QHF0uC8SjiPRNDFYcSHCknciJZFt/t+4PMSGS/Gf6CEcxtkGQXk8gKIOmn9RtIT46ux+ss0wfcVSQMlXg0ZBJav78bdz27F4y+39yr6yzqweHVnn4dwjAQaGxLsuUtzr2Fg1xYcufconHjwWEwZP/i15HWUCY1NwKz9e6+MYhFY9OygvAA6uw1m/MNLWLelZ5iIHBz6Y9+sFrztbW+rlaUAGwHMSJKkPW9CRgo1MLzEYYx5D4Bf5U3HYGGMwVFHHYXHHnssb1KqHjuNacBr394To5uFwFeEvxOGJojFuLNUdrR3HN6XwOqlN/F3Ml7sfZZiDCVMEzr7enZtSJn1ZyCzeWiKRaIRZsuXSk76noVvVujS/IwBXlregedSAXTeik68tLwT81Z0Yuv28mxc01AA9tqlGfvNaMac6enM1PRmvG6PVn8tYtDGQlmxBiRekhJTavoyDgxEwcmKE/u+uE7SoOQZPuArxHLNeixfoPT98ZIW+x2p/YgNKVoBZIiS4awgW0I0m4WWd8xLQBoCvN8/rYyXt6hrkKa/YUqHd3Wj964tlG8sxjP6Ul4l7zUiXPKYaD7UFllGEyA0GsSW7WjvNYNCDJpxLvY7GUoT25OgP79tlsGkzNiwtQf3PLsNf35mK+5+dhteWtqRN0mZSBLg0N1bcdIhY3HyIWNw/IFjMLZ1R9keq8rQOgbYdV8gEb/PuuXxvQL6wEd/sBxX/WH9MBBXh8UzzzyDgw8+OG8yhgMfSJLk2ryJGClUwHAxcjDG3Avg+LzpGCz++Mc/4rTTTsubjJrAZ962Ey49b0opQJupYrCAHlN0soRvVtYCRSjxZ+MAX4gtZAimmlIzEBdyCXVttayLTAO97jHBNUuhZIHfxSelxyqHNj9wWETrTOu0aE0n/vx8G/78fBvufr4NqzYNfIagHGhtSnDsnNE4+cDROPngMThij1Y0sEII6EacvrxIADgPFbnRpU2jQVu6oIVlfS/yu5Dvs8DKISuDffVZLw9K5BmVRB089EeLIoVY8gL5vWsGAGnwihk6uA1kGZZU+Y0EGWjEiR/G4zeR/uT9jqKN2GCgGQVk32Zw3+asbR7WLheLI8viOK6NBb/syzChpbFhgM5rpbeEEWGalwGgb0YYM670xyggUSajQEeXwV+eSxX+Z7bhyYXtuczuDxeaGhIcte8onHTwWJx86Bi8af/RaCiMcCPW0X+MmwRM29MP6+7q9QIYxDT6315qw7GfXThMxA0e0yY1YuWGypRRBor3ve99uO666/ImYzjwtyRJjs2biJFCzXI1Y8zeABbkTcdQcNJJJ+Gee+7Jm4yqRyEBFv7vHthtcuo6Fvvq+3K771PpsPko8aUSoy0F0JSKvuApzYgPgANZVhCUETEwSAEVGff2WaZ1Zcj3ZATQwF4A6WX1liLufn4b/vzcNtz9QhsWru7KrleFYsLoAk7YfzROPnAMTj54NA6Y2dK3riqVHgtpgJLvgfD3ZaNBzI3ayw8l74uYcUAqLzKM69CXcmN/e1YQY8sMMsvXDCi2/CytVbNwiDBXfxHG5YPaMtZWMbByHeM7Wf2SlwE4Iwnnz0pwUqK1z1l0UTgrs5qxI8YHtO8aIp4sTouT9b4/frfyW+3Pkhu55wDTqe1JIOPIMCjhWpqhSHP9MSgIPDy/HdfcvQG//usmbNiarwv1SGL6pEb8/QkT8YGTJuKg2TvE8eCVj8kzgJ3Eyt6VrwJbBj6Tbwyw10fm49VVncNE3OAwZXwD1m6ujX7U0NCAl19+GbvvvnvepAwHDk6S5Lm8iRgJ1LIB4CsALs6bjsHiiSeewBFHHJE3GTWBd75+LP7v4zN8gVcKcOxOrUETkGIGAU0/6CuNTC/LtWnYe8BLkyGcy9mqWBpNMexrnbikWwrdntKRPseEXIj4Bv4MqCwHwLptRfzyb5tw7f2b8ejC7f0gsvowY1Ijzj9mPD5w/AQcPLulN3Agumnsm9GgKfr92ZOgr/Csbyjru9HSxuqdBVbs5V4VRnkfzPgqBct3cnkKu84HhoFIBbLqwf1B+61jCiT3KV6uE7NhuLSiTppXk9f2Cm/NNBQotAZ5Mu2m1KaqQp9e2esg5kGhGQYC3hMxEEhDmWdQoTiat03Mg0CL5/ptxrfDhgXJq2P9ZggGg6XrunDdPRvx83s2Yt6yynbtHwm8bq9R+MCJE/F3x0+s7xuQN2buA4weX3revg14bXCbZX/hF6twyW/WDBNhg8cb9xuNB19qy5uMYcHHP/5xfOc738mbjOHA95Ikqeqj5GOoSQOAMaYAYBGAWTmTMmj8wz/8A6655pq8yagJ/OWzs3DCfqMQznQJ6Y9n45zwlD5ognKW4I1+vJNkaEozEApxWTNbnsKd6AInoIdrmxP2F7F1rzHaQfdWMcmqE6Xp7Db4/TPb8PP7N+GOJ7ehq6c/1onawOG7t+IDx0/A3x07HlPHN2QbmmwYKzTakhQLuTTF/o5yE0uGXMrCsEobIu9lvL4MDjINQzMgBEpkUlLabB5yDTnvZeGUehtZ0x6ZpyhGAEebIErtI8RrnGEO/rOsLz/HlhgoJPcrbUxBhhLHU4Rt2UZRoql+nLnWDvxOwoi2svcxurN4rPY+Bv6GtHj98SrguFKBzzI4RPOB/tt4e4Qocftqo/S+rbOImx7ajJ/fvRF3P7O1qt37hwtNDQne+vpx+MCJE3HmkePqJwvkgYZGYPYB/qaAr73UawgYIF5a2oH9P5a/w/A/v2Un/GhubexHMGrUKCxZsgRTpkzpO3JlYxN6NwOsDcsMoSa5ljHmZAB/ypuOwWLNmjWYNWsWOjp2PAv7cGOvnZuw4NLdkRQSUjQQKvueYkRCOq+P9QReRUlxBgP4gjDDCXzKO5tc7phN2TJ53ruYMMfPntFCUQY1ZM1cufz7oeQNdHkFPxcA0wM8uWQ7fn7fZvziwc1Ym/OuvXmjsSHBWw8bgw8cPwFnvm4smu33bREoZhQOhN9Df78v7buJzX72Z910fxFTciTtWlz5rHmV2Hixjem0e61MNgS4d4oyK93rvZe28Ej7aEliBhBJb+x31hRALb+IDUT/jpQE1sgS7DmQKPkqBTDvZeXZlReBbC/7W/fFS2P9BgjTyvTa/gO8eWfWPgN9GW+19/3xyOlPP0qfN27rwRW3r8MVd6yraRf/oWLGTo349DlT8eG3TMKo5vrmgWXF6HHAzH1Lz1vW9y4FGARe/6lX8Pgr+W74/uaDxqCz2+BvNeIF8MUvfhFf/vKX8yZjOPCPSZL8LG8ihhu1yq0uyJuAoeDqq6+uK//DhPPfMK53w1hjfBdSnsXxZilJGlLPj7YPYmaFIYUtjlO0z5FpFBbQisZPz4KazNeIawyct9uwKiu+EUKs8izjy/DYMgS+Rgwe3T0G192/GYd+fhGOuHgxvnPXhh1e+Qd62+W2x7fi3G8tw/R/eRmf+80arNnUEyr89l7OBNtnI97xN6t+d8rHEpu11L6VohG/u9G/maAMpt+EYVp6qQDb90UK4/TcJrJvSeVYlqMSi5LBhOtq+7X8kVxbKP2D8zZ0H7y3wcQ7jIH6e2bVT1MU3bskfOfqS38ag/KUYqqLrbej3fIMW6iogIHPtx1fj9RXsHaPXr7Ke44fM/4wPB4m+J4da/gbZmhT656HCrWLZhyQfU4zUGhliPZYt7kHF1+/Crt9aB6+9KvVdeW/Dyxf340Lf7ICe/zzfHzz5rVlO1WmDgBtW/zd/8dOAhqbB5XV+948cXhoGgIenNeG84+bkDcZw4bvfe972LZt4B4ZFYgP503ASCDDZF6dMMaMB7ASwKi8aRkMuru7seeee+K1117Lm5SawHOX7IYDZzaLmZuElHm6d4IwSYrSRdi9J8HUzYomvuAqvQCkW6/Nk7OU2TM0hUzrwVpe/E7Li8vwhOGEBG0RJo+gc3mIZ4l+zP52dhtc98Bm/M9t6/BKlW7mV26Mbi7gX06ZiP94206YtlOj0L8y2txAP2lBU3Tlt8TPclaTvQWkNwDH0dyf1fL7+Y1lff8c1p8+J9NJ2V6mkwq0NGpFvSXSzGKeAzYDw+Hix9DW67OxgPckiCmRMb7DirLGv/id/Z5ibauGJ4pizHxU/GDe/gpK/Q109/foc+R7cl5ggub+1KuvOKCw2HfEiM3683umW0vD9XG/V+/7VRu7cdlt63DVH9bXldghYPK4Blz49in4+NsmY/zoWp1jqyAkSa8XwKixvc/rVwLrlg04m5UbujHzH1/KfYnLdz80HT/50wY89Wpt7Gn04x//GB/84AfzJmM4cFiSJE/nTcRwoha507tRpco/ANx222115X+YcPCuLb3KP+ArNm5tM71wgrUVmNJwN1sn0huR1oKF2KKSB+dt43vCoCHhTOSfIEwry9ee5TstPofzs+f1QEjgzybJ2VwO097LuCk6uor4wZ83Yt9Pv4oPXr2yrvwPAG2dRVz2u/XY45Ov4BPXrMLS9d30Wyf+7wu6t4otf2fyj7JRkQDooe+Vvx3XZ8T37PUlLj8pKW88u+uVl/jflDQeuHCE31mR6JB9KNYPAP2kAanIyXvZ36SxkZ/lfglBf6E8PCR+Ovtbe/2XFWZRAfY0kvWRRWV5SchTCfgdp5HtZ+ly/ET8KK6cCB+16bV8i4JQ1x6Cr/M3xm2NJO4xEvtOuBryXaKEy/hUXQ9ZnlgcpnlfJfSN8LiU9M5gf/KnK7HHRxbgm7fUZ7CHinVbenDxDb0eFP/1y7oHxYjDmF63/570CL0JU9Dr9jkwTJvUiFMOHTvMxA0cj77cjgtOmpQ3GcOGK6+8EibLu696UHNeALVoAPiHvAkYCr773e/mTULN4L1HCWbuCfyKYuu5WFK4tp7fE9aEUKnNVBrtHXz3YDsLZZVrXkogaekvJN0yP/teE9zlTJZHM0rrWW29WNCUZnT53uYFAMagvaOI79y1AXt96lX8yzWrsHhtXfEfLLZ3GXx37gbs9clX8C8/XYnFa7rgGjv4XewNKVOs8EpFhZPzGmrexFFkGdxz2fb7k5sPSoW3wOGkKMf6grYuOjbj7e4NAuVOM3jwO1aIOa1sr6J4rymB0qOGjSfq7DTTr/1ACGevtU7N3wBnwwZHaaiRf5Z/2G8mS4fMUpS5LBdmv10g4F1MP8e14Z6xJQ0MXOSJIH4neaNGp/xNbbggxT1r36t2skNW3wnajxol5sWgGGC7ewy+cdNa7PuxBbjijnVo76wr/sOJjdt68N+/Xo19/mU+fvKnDeqqjzqGCd2dwKrFvfcNjcD4nQaVzfnHTxhGogaHv73UhqP2GYV9Z7TkTcqw4KmnnsLDDz+cNxnDgfcZY/K3EA0jasoAYIzZB8CxedMxWDz77LP4y1/+kjcZNYP3vmGcUOSVSJrM42bw6ZkFQiAuDHN6Vmjss2dgYAk2/bPKkFufT8KkNRbYOFlKCtMm6xgTTGOCJsR7p/RRvbx1ziCBm96B6pOmM0WD6x/YjD0/9Sr+7brVWLahO1KZOgaKzm6DH/x5I/b+94X4t2tXY3NbT0mxBErfl1WMNMS+Mfcdps8FiqPNfEK51xQ6/t6tgcmW56U3+vICaSAAwuegjul77Xx2/oaDdPC/Z6kwynAvncjL8gb73hnWqByPfMFTPD5EBdgZcNteavn0wxnKiN3u7XcjjaCCnIwAhU+KP+27YT7CijIXLj0zND7sDKySHsuPtW9GfnOyWokShhJ/599N1pkhy0hQ6k+xdvHyo98/+hv7z399sQ2Hf+oVfObaldhWn/EfUazb0oMPfm8ZjvvcQjy3pDbcuisS2zYCG1f33k/ceVBZvOXwccNHzyDx8opOrN7UjQ+cNDFvUoYNV111Vd4kDAfGATgvbyKGEzVlAADwgbwJGAq+973v5U1CzeCoPVqx59T0eBgWhFhAslBkVQC+sDgQGUkK43Jm0LmlCmnUzYSSQGpddGFKM4RyF2mphNgwVsgkbVCuWj2096zoyHhGxPHK9QXql1Z04uRLl+L9P1yJlZvqiv9IobvH4DtzN2C/T7+KGx/ZAlOE/31ZBN+F8n05iNljg3T215R20tdmxNlNXJvttPGlQsyKEODPkIPDhNJvILwKjDAqkKLseeOINtDc8jncvRP0yjaQcWW9tWer+LKXhexfGthIE8S19aD6SHdxY+OB2o/rJD4YTTnmcM0oEuPDMd6izbKzISrG27xvWn4jRGDwrRvf2Opo4W9FtCEvM9C8x7iO3DayfWSduL6chr81aTQAwJ4y67b04J+uXI7jL34Vzy2pbzRcTjzwYhsOv/AV/OfPV6Kto250GRGsXQp0tAHNo3pPCBggpk9qxCG7t44AYQPDw/Pb8eYDx2D21Ka+I1cBfv3rX2Pt2rV5kzEc+Lu8CRhO1IwBwBjTgCo2AGzYsAHXX3993mTUDM5/w1hfGDPwTwGwCNZRQldo3ax3PwqXwl7suCkpgModoq1wWUglOyMy9zYfpPicv5yt5yyyBPC+4BQ+pW5eHel9et/eYfCF367FIZ9bjHterI3jbqoBKzZ247wrluGt33gNr6yiZQFSkbO30g2dFR+pvAeKMucDX8ExMq24h0irPfMMOa9plidnqMethW0T/YY1xV/bmV3GZZr5npUyGS77o3ynzQhra/JlPG8GWijO3IaW9xSFlpnYTMVvKzc05JdR46DgUZqRUuWVljYOEzyN24nLtu/Zoyv2u8hv09Fj4HlTeHQm/nfoyrbtQ9+KZ1QW8S197FUj6cvqQ/Zq28KlNzBF4Gf3bMR+H1+An/657o6eF7p7DL5581oc8LEFuO2RLXmTU3swBlixECgWh+AFkL+X98ML2lEoAP+vAk4mGA50dHTgZz/7Wd5kDAdOMsZMz5uI4ULNGAAAnAhg17yJGCx++tOfoq2trgwNB5IEOO+ocaWHQJEwJSGQFRYpQGqCqCakA6FA6REUScNlaO+t4M2CpzH+emiuk6uHKRkN3LKBjHaA0d/1ZRGwgrFULmL1AfCHZ7bhoM8twiW3rUdXTx/51zEi+MMz23DQZ17FJTevQ0cXK7JKZN6Lwv3WSUlh5LD00cuLldVYH2HlVnsvlbPYkhY5M2oNAhIGYbgsT25wKZcPBKcWsGIoFOX+wmuzCH2a0mfTcFxpoJHtywoxGyjZ4MOR5fIKj/8IC59Gv0ao/DakcgsRLo/Uk7+J/D7krLrWJh5JRjdUSdKDPSSkQUAk9jYYpL+E2op5qKXT23xQtKdmxNWuBliwohMnfPFV/OP3lmHt5vqGdJWAxWu68I6vLcY7vrYYK+vL3oYXXR3A6sXAmIlA08DX0VeCAeDRBW0oFoHTDh+LXSY25k3OsOAHP/gBisWq93xJALwnbyKGC7VkAPiHvAkYLHp6evD9738/bzJqBifsOwozLNNkt1/eCdnCCVysQEPs3E9xY4J4otwzsoQ0DS5/JQLPfvJRa1aoBKVl4dbVwfh5yJk91U0Wpfp7QjEpQt7Ga35dlm/sxnlXrsAZ/7sMC9fUN/jLG9u7er0wDr3oVdzzYntvoDrbbVMoU6uBcp1+HO4oNiM+X0WJ0RRABru9SwVfU4YTca8VX0gQKHmJuPdmw6Er+7yxpXYEm4yvvZNppGHS0qgq5tDbwYgwzsPesxzGyrQ0BrgECq0ujsIjgjrJH9qIcEuXoXfQIeso43Gb8EaW8jvS8ulrU0cg9DJB5N5rB+UH8owoxENdXsRHA2OH+A20vgPgNw9swhH/8Qrur3taVSRue2QLDrvwZdzzbE2clV452LIe2LxuUF4Ab9p/DEa35KsabWkv4oWlHWhqSPD3FbAx4XBg4cKFuOuuu/ImYzhQM8sAasIAYIyZAOCdedMxWPz+97/HwoUL8yajZvDeo8b6SmmwTpcEU3ajd2FKpnzuPcfThE8gFMqzZmxAzzEDaVSAJeEZQKBIqIJqmoE7ao3SOcOHEWmoPDnb6N4p9TLA75/ZhkM+vxg31l0eKw7zVnTipK8uwUW/WYPu7iL1G4RKmHtOSkqj/O4CLZ2RQFUQXXnwv2f+1m2Yhd1nwL4IlLTIvVUyOa6cJebytD4OlPiGnBm377xlPUkpLMaL7LNmSIgpw85YoL0T91p9PeOBQdB/ua20vD3l2YRx2DjgQIV7vMyQIYIMNAFd1CYuu0j7cHEaKewJVqD49ll6EhgRx6tOEvJarywiyMVLRHz7PaR/2lITaZRSj5oFOnsMPvbjFXjP5Uuxpb3qZ91qGqs2duOUL76Kr/xmdX1pxnBizRKgdQxQaBhQspamBG8+aMwIEdV/PDy/12h31lHjMXHMwOpQqaiRic4j0w3nqx41YQBA786M+e/cMUjUj/4bPjQWEpz7enLh6mv2zZCgxUK7Fp8f+TxlFjK92Xn4s/OchxRMOY0mvIPixATy2LMMk8q+AXlHgE4goMSWNku39ELgWa50iUJ3dxGf/7+1eOtly7CufhZyRePS29bjpK+9huXWHbWIuEeAVZp43Tgr8N5sL/wrG9EgFBxQHoD+zNk5vUZ4HLBiGZsdld4HcoM9LktTIvkEAlb+eNmBXYrjLcMxYX0cH5EKn0K3e2fo9xH1snH4mfPUdHIO15Rd5acM8pDKvMrXKDOZN58WIr2SAmKZjoiVxih/Hl1EtPadsaFV7uMiDb2xJSWxNmXjCMd19WF66LdmAgLDUm/7LVrThWMvehVX/mE96qgOFA3wxV+sxhn/vai+TGO4UCz2LgUYN2nASU87LP9lAA/N7/XMa21K8N43TciZmuHBnXfeicWLF+dNxnDg/LwJGA7UigHggrwJGCzmzZtXK24xFYFTDxyFKWNTa6kTuBL/au9jx4LJ3cStIC9nY+waTp6Fca60LNRDn72X0ARtAIECownfsXdeOqEUsMDOCry6btqUhNMiERnMEvfGXbGxB6d+cxm+dntdCK0W3D+vHYd9fhH+9FzqLiyPFIspjvaB+1vRhgkNusiZmbBvJkD4wRMRkgYu380cE92ekYviF0UemuGN6yi9CDxDGCUM+iq3odHDAV+R05R3UDyNd8nZYY23aScWuDqI+jJtoGdP0Vf+NP4m29q2RYyPeQYnMu5wIaphw0Q8FhS+x4YrRy99w97vLeJp9ffKg6CPwjTPrMDgYsK0wZI0Uwqn3/W2x7bi8P94BY+90o46qg9zn9yKwy98GQ/Elmxo31sdcXS09+4JMEBUwj4ALyzZ7rx3zn3jeIxprX51rVgs4kc/+lHeZAwH/s4YE1EgqgdV/0UZY/YFcEzedAwW9aP/hhfnHzUuFKxYQARIoLLPxh9YWZC24OP5POMASnm6MBOGOXdhlARKzSMhmFGl/C3dDBlnoFdNUHW00MymFIblWdcovb/7hTYc/sXF+MtLdSG02rBmcw9O+/pr+PLN69DDpzwkCEcLIx4S8YKX2HBkT2lMb9gApXrtJKI8+Gls+VKR09bSywrI3dYD/iHTpWGxY9pkP5PpvD5GddHSZXklST7FM8IyT5lWGkOZPqZNptd4ENcrawlTLNwpx/Kd0dvF45umZIhlxZ4b2hqFmP9K3sXpJX3y5BheGuB990p9Zf0k7w2UfxlGhrFExKNvo7u7iP+4dhXecekSbNxWn0GuZixd14U3X/wqvnnz2tCZSvtGLWJ9bEdH25b4ZE8Ec2a25H4EX9EAj77cK0ONHVXAuW8cnys9w4Wrr74anZ2deZMxVMwBcHjeRAwVVW8AQBUf/bd582Zcc801eZNRM2htSvCOQ2ntFgtTcmZKnV3ro4DARTRBplDteQokfh5SsGRh1zvWD76xQp5awHRrLqya0h+7yjaKLUi0tHmztr0ed1+5fT1O/eYyrKq7MVYtjAG+dNNanP6N17B6c4+v3AVKWnqVM+R2ZHGnBcBfVmDjyW/Uy18ouzYsWBKgKHSeQYDSeQpuSkuP0Q1rsdMGpFIXUxyBuOs452PBXkZyaYHmgRTkR2m5f/I7bQlCDDKa5kklaeC0sn6S52hlydn1zLy4TkqaoB6JnybgyWQgsAnZUKvlr52uonkL2O9A7jWQRW8Rpf6jeaCkf22dRZz5tddw2W3rUEdtoLvH4D9/vhL/8N2l6K6fljN09JfnpUiSyvACsPsAAMB73zQBzY1VP+mM1atX46abbsqbjOFA1W8GWNUGAGNMAcD786ZjsLj++uuxdevWvMkYFoyrAPektx0yBuNHFXwBndfgszCuKTMMFuJkXG8mXwiRNo0Uxj2FOcnYQIxpGACzt4YDrR7a7JaMKmc7+xov2Z0VQFunwTuuWI4v3rROnSCso/rwp+fbcPjFi/DMa8KF0lOiI/eaQieVqSSNYCiiNERps6+x7xyAZ5QLdpRP6NmGUT91hYq+rBnS+L6IcLd5m51U+LgeUnH0ZruNbzzh8iQN0gAiDYfSCMnleWVT2sEaCjS+osXV2grw20XOjmuKsPzOAGEkpe8toMHo31iQv1YJ/oYorvYbcd0k/TJbvpdtYPOgOOu39ODkLy/G3KdrQ46ow8fP796Ic7+xBNu7lO/YPmt9QCKrK2d9szsw3nL4uLxJwMPz2x0LmzS2AW8/Kn+ahgM1shng+caYqt6dMX+tbWh4A4BZeRMxWPzsZz/Lm4Rhw9aO/Hcafu+RY31lt5hKUW5gI4FNc/sVsr86sLLgCoQzhza+FDIZcjaf7+Wa4thMHj9LRUGrV2zpgBYnUEyQ2TYbthZx2v8uwx1P148yqjUs39CNEy5ZggfmK2tS5SwmkP2t8LuCvTelvsoKNfefoExZAOUVGBggjHR2xjYpPct8gjAqK/Ei9l6lgY15hFT6YjvLS+VRLi/gvinL0JQC6xYv6yHzc/WK8BjNSMnhEu43VugFQm8lrf6xOnnpEW8v+Q14/Frky/QUQfxWaQNpteCyPFrTeAHvt3zf3irfdpBXjN7evnn8Fxe5zcLqqE3c9sgWvOVLr2LztvTj9b5944fJfmERMw54fHK4KK4NnHzIGDQU8m2UVRu7sWRt6djkdx87IUdqhg/3338/nnvuubzJGCpmADgubyKGgmo3ALwrbwIGi+eeew6PPfZY3mQMC6aOaxioh9WwY2xLAW87ZExJKCvSyObkNhZyKXFMeZbvpYAqFRZNUeDdxYvivTx+0L1LqA70Lmt2TvMo4Dh2Z385YxtbwmChCeIUtmJjN064dCkeWFAXQmsVG9uKOPXrS/E7a+CRM9UWsW/FzbSm4VYx5jgMqUzH8pbpWam2SiErWi5e4it6gSFOKzS9l4o4klL9uI6slDKdHo1CUZUz3lpd5Yw5h3txjd823kZ/ZBzw+IZSbTk7bvPWNkrVIN/Zesd4sayXfJY8rK+0Nr6mrEtF3LUt06t934bagOK5uqYZJfwx2gKU+liDAXuRwPh1E1ktWN6JYz//Kp6X3jl11CTue6ENJ1y8EKs2dpe+SbEBpEPWZIAMl+hvXC1OjWHimAa8Yd9ReZOBh+aVjO+zpzRVBE3DgauuuipvEoYDVb0MoGoNAOkOjFVrAKiltf8zJ+bvBXP24WMwqokFepKIrVAnBy1tsIsOilLwJ9jZzCKgugMDoXLiBFMlQ7m+N7b2NiZ0a/G8TQjTcGmQsHFdfHonjRtFg1dWdeHYry7Fs0vrQmito73T4B3fWoYb/ra5N4ANVFnwlslAn91lxHQmzSAgFWLbBxP4Hj48687eA4EhgxQ4w8QqnjqeokhEy/xkXKbHeSMI2r186D0riRJae2jvgLDf2/cFQU9QBinzfC9PPuH4FmzMlHunyLj9VSy0emqIfU/2d1BPKYD+LfKztxQMxOONXj+59CTh70u0SWwzxwR4cuF2vOmLi7BoTRfq2HHw1Kvb8abPLfR/d+mt4+7FVeOfknf2pfRLxPpfDRkGKuE4wIeFh8+7jpmQEyXDi2uvvRZbtmzJm4yh4l3GmJa8iRgsqtYAAOD1AGbnTcRg0NXVheuuuy5vMoYFo5sTrNuWv/v/e44c6wtkUAZDawzwXDpBghb8Z05vBbIC6Kgtel9AaUC1BgEbRw6uBuHAKxUbLz7Vq7+Dq/QC0HYI51k8ufTAy0PmDTz9WgeO/dpreHVtXQjdUdDdY/C+q1bgO3dt7A2Qih/PTNlnaYySfcfCKlGaECoFS9t/Coh7ErCAGxNUE8Cf8Rc0erOwtu/YfkKz3/Z9dNNAg0DBs+VrtNuZZan8s0eTxlfYkCDbrYCwfaQxwW42Jme2gbCdVc8llHirNFrKTQy19PI59s47nlL5nowSVxpf2TNLU464TvaP95/QvjfXNtQW/C6JFSQych4z0voF3Pv8Nrz5S4uwelM36tjx8PKKThx70UI8t3h7PBJ/04Az2Ac8VnozyTT8ucpPN2ZQkPlUOSphI8CnF233bKvHzBmN6ZMa8yNomLB161bccMMNeZMxVEwC8Ja8iRgsqtkA8O68CRgs/vCHP2D16tV5kzEsOGnOKLy2Pl9hpKkhwYn7tvY+eINPRPAGCacJJzKlZ1VG43DjD6DyzPT+DIJy5smSoiktymSkl84LE4oXbzoojQB8lWns+jchsN8/vx0nfL2+0/+Oin+7fjW++H/rYJzCmL5wrvXQFTnpDSDDVeU/wzDASqnsN1JB43T8no1q3vFulK83800ZMS+wxkGO5NqB2sXGh/FnzKWyaN+5OInfrlHvHfg8wir/MRstt60zIBi//ayxhSGVcE2XtTR5PIfSAKV3huKyt5KrV4R3ad8Th2e5SMdoBoVzHGn8LYj3Nl9to78E/m/J2hJ/55Zmb0lBb0YPzm/HGV9bgs3t+Rvc68gPy9d348Qvvor5yzt9Q5rsZxZ2qYDksYXE7zfeiS2m9NcX+hGl3xMXFYYj9xmFSWPz9XBt6yhi6brSREuhALyzRo4E/P73vw8T82StHlTtMoCqNABUu/t/LW3+N2ty/pbIY/ZqxZjWQjgrxvKWhXYmuY3jBsP0zwl1IsyBBtQCSZXe4CvosXnKjft49o7TgsKl4AoljIVm0L2c0QN84dvFI4FC8Qr4y7x2nHbZMmyqC6E7NL5y6zp8+tdreh+cEmh0hYuVRG2wjx1XZ99xElaMZL9m5VWlAf4slRF/iDzLK+cl84EJN/BTjSEQvIXf23ZUhHo5K+y1Z5ommJXvo76UnWpoDE5BUdLJZ/4dPC8k+LxIzuAXRVwJq8hIPmXfaV4WHMfRr7QRxFW2W1F55jykAUnmr9Vb82BA+m27ehq8tKwTZ166BO2dVS8s1zEMWLu5B6d/ZTFWbuhSlH8j+pYwKGlGAja+2TTuD6X4moFVGhxlX0LkvYb+ft5l6gYNhQSnHJq/F8A8sczyrCPH1cSRgM8++yyefvrpvMkYKt5ujKnK4xmq0gAA4HAAe+RNxGCwZs0a3H777XmTMSx4wx4tWLgmf1fEUw8YpSvF3kxkEg5gRSGIBTu+hgqwBxbg3cBGQjgL+Vbo5FkeKsbLUxtEC0q4VmdBvncv06jus0p9U1qfea0D7/juitKRRHXs0Ljs9xtw2e839D7IJSYM+33J/sWCqbYrvRH9zwqp9s+bBVcURjZuuTD4/UBT1gB/ZJT9jGd6vf0FxH2wF4coI2gqUVeThjkeIpiC8y6w91SAOwIRot8TD2JjJSu7VpmVSjAf0Sf3WJCz4V6bscKePksjCe+twHxb/v6a8iw9lfi9N/tJefG32JdCIhUcLY4cW+RVy0Pyc/6e7G9qDJZv6MFbvroE67fWPa7qKOHVVZ044yuLsaW96Cv1coz3+pAIl0Z/vlqwJ4CVmxjMIwB/giPg6yKdvM/SaSXfLpMYUgnLAF5a5hsAJoxuqIj9CYYDNbAcehSAd+RNxGBQrQaAqp39/8UvfoHu7vyV5uHAu44Yi0cXZaxFKxNOOSDdFTUY/Pg+MhA5YTMpXRkyz1i4m7mzmYpB1c7ocHwpOMq8PWMFlSevnEYK6lqbSMFTC/foMVi8tgunX7687n5ah4f/+OUa3PDgZqGYIfzGnJKKkkApPQbYS0ATTDXvAlB8o8TRjAve+/QqZ7lkHbS+JI0FVnHWZsFjM/Cy88cEW8cPOE8pdRPf8dqOBXsyDnDZLNirPNSUFH9jdK8AvlpSiij91j1ER6AsG79dsviRRGz/EjY8SPD32JcLKtOovhfffZZy0l9+n143tRVxxlcXe0eB1VGHxVOvbsc7v74EnV0m/La0b1CdKFD6iuYpID12+Lko7tlzy9LleQVpdIhwbY8Cpr9ME+CVoGi/tLQzCDv3mNpYBvCLX/wCPT1Vb9ysymUAVWcASN3/q3b9f624/8+c2IhdxjVgfc4bAE4YVcDrZ7WKgQO60svv5OAkXZQ14bOIUmASiestIbCZJyVFxFNuSACVLqkc7jwNBE1ypo6K8+rGxo5Yj5eDK5WzbnMPTr98OVbUN56qQ8E//HgV/vhsm64gS9drfgf4372n2Mq0oq+wsGnTqK6vlF+WAhfjFxyWiPdOsBX14risDBYonPuhnA3ndBrvspEDnmXrzhIzxQ+OPZSVTEQyRUEuinhSYWdIl3mpGHM72bgx5dl5WqS/qWbU4bawdGuzmdLAFIuf5WnAyNpXRY41Hq2cBwKFpqPb4OxvvoZnltRPWakjjj89sw0XfHeZ3/UZEbbnvdP6ig0vSOMASkq+jQOU+oHmkZNVjrapskFpjwIO4/vYc3/Rz/izpjRh/13z3eh93vKOgOXtN7MFB82u2g3oHVauXIm77747bzKGitOMMVPzJmKgyH8B98BxCIC98yZiMHjqqadqYb0LAODc143B44vzF0xO2m8UGgpAr0Cc6DN5qtUbflxAF+Y5PrvhszCv7STu0lPmiVR2hDmbhcaE3rNnghOo0zBPWE/8cFZQNJk/SzBPr21dBmd9bwVeWhlaoCsFzc3NmD59OmbMmIGpU6di3bp1WLZsGVasWIGOjvy/0VpHV4/BO7+7HPdeNAuv26NFV3hiOif3Pfe9CoHQxZP9A6FnjZe3CQ11VgE2kWssn4AgpT5Zwjf3NX62NLKiDPgKMURafnbhht4ner7ObZ+MASDh3IYZbtz0ymXZdiwSQZIvcXJ7r9mKs9qP6+6WGJiwDQtKfC+OIbqprgG/1ehjRQfwlBfPaCsUJD7JgeumDRVsBEnjFgG8/3vL8ZcX2lAJaGlpwQknnID99tsPM2bMwMyZMzFz5kzMmDEDU6ZMwZo1a7B8+XIsW7YMy5Ytw/Lly/Hiiy/ivvvuQ2dn5Y4dtYJf/nUTpk9qxGX/ME1XhvkbZ94S/e7pnTTSauEMO9MfO/mD09q+wnnbfsbvuHzJs7P6mZQBs+SdWFugdxnAizked7xtexHL1nVh1pQmL/zcYybguSXVv6H4ddddh1NPPTVvMoaCBgDnAbgyb0IGgmo0AFSt+3+tzP63NiU465DR+OJtG/ImBafsPwpOiM1QZHuvVkmm8EAwjITLQcJ7NvH3QEmwtmtlgwgoCamcB4heazwwNoIQynm2kwUAKzR7xhFTSh8TSItANwze+4OVePCV/Jd5WIwfPx5nnHEGzj77bOy3336YOXMmpk6NG17Xrl2L5cuX46WXXsJtt92GO++8Exs3biwfwTsItm4v4q2XL8XfLp6NPac2hcJUTPGXz973HBEwg7wNff8UpqWTcbg8zg8U5p2O0c/6SEi32OA9enlDDwm1sXxZYZdKqOZeD6SzcsSDWCBPiOGxQaH3JUpGAbrKH8HyGQ7n8r2lEenLwOCgpJP8ySrJmtKvPXOemlGAPUe0b05WVe66HgMbQqRHCqeX3idpvE9duwo3PrQ5nn8ZMHbsWJxxxhk455xz8La3vQ3jx8ddjidPnoz99tsvCN+0aRPuuOMO3HTTTZg7dy62bds2kiTv0Lj89nXYdXITLjxrsh7Bfmfa/ibSuGghDZGeUg8hLzEvsteIEYAVdw7X9nWRYYWkb37KkH0xs9+KOqVhpxw6Ft++fV0/Chs5vLSsIzAAnHzwGFxxewM2bqtuF/qbbroJV111FcaMGZM3KUPBOagyA0BGT6g8pO7/LwKYkzctA0VnZydmzJiBdevyZSLDgbMPG4N/P2UCTrsi/w3h5n9lFvbZuUmEstSozEZZWKE1EP6VyHaA40GHPQJYeZcCLJfHg4scXLU4ap0gIpl4GCtGan31NjBI8OHrVuPH9+UrhALAzjvvjLe//e0455xzcMopp6C5uXnQeXV1deGee+7BTTfdhFtvvRUrV64cRkrr2HuXJvztC7MxdXxDqNRrMAjPqNeUOs1IpeWVVQ7nqwmyUgjlME1B5OcsoZLTx7oxRBjTzcf4RfTvTB4k8w34DyWQxoVA4ZWGAShxJIgBOf4ZqYQ24yfp5vpI/hurM9dNvpO/ByvmkqVmtXtWmMs/1q4l/ObBzXjPFcsiGYw8jjjiCHzhC1/A6aefjpaW4XMx3r59O373u9/hK1/5Cp566qlhy7eOEhoKCe69ZHccO2e0LiJAPGt9qy9jWqw/9gX1lA4ljMNjhln5zhoKssJivFrjESLKqo3dmHbBS/G6lQF/f/wEfOxtoXHnh3PX45q7N5afoGHGDTfcgL/7u6pcSm/RDWBKkiSb8iakv6i2PQAOQBUq/wBwxx131ITyDwDvet0YPLesM3flf/ZOjdjbs4im2rSRo5kQbg38Y/gMR4uMaIGyQGmkRZ2VeoPS7s488Np0Np50j03Sf9EmjlkZKC3PCGoLBFnxEYPwVX/ZlLvyP3nyZHzrW9/C0qVL8eMf/xhvfetbh6T8A0BTUxNOO+00/OAHP8DSpUtx5ZVXYueddx4miut4eVUXzv/+CvT0AN4eFvx5GZAwhvAbl5+q1gf6w3o4Hy7HziCB3nkKGUrrWOVJIZ6nTUzhhS7oMt3esgQB60Jr32lLeGQbSX4TtDflZcMs/zFUnqEwS6fzKiDmFhhKiTDmNS5eenV0SWYIv414rbCmkGj1ZHB9FdanhjlebPznGNhTg2c25ZppucGa9DoA3PPCVZ340I9W9FHwyGD27Nm47rrr8Nhjj+Ed73jHsCr/ANDa2op3vvOdeOKJJ/Czn/0MM2fOHNb86wB6igbnX76098QI1weM368j4pF7ZvlGQvIJGa7FBeL8Mkv5t++1vTmkzNKfMULb6NAaCbhOLNulsuIuExoxc7KcaCovXlqmL6U5+w3jwwOsqhDXX3993iQMFY0ATs+biIGg2gwAVbv53zXXXJM3CcOC181uwV5TmvDoovzXVp+6/yhvKauDJ0gCAAn8ckDStRNfiUeaB88QcpnyXgqmfGSWExjTq40bO0ZLCqWQ8XhwFHWUG1LJ5QH2nW2jNO1TSzvx779ei7zQ0tKCT33qU3j55ZfxyU9+Ek1NIzPwNjQ04KMf/ShefvllXHTRRRg1atSIlLOj4c8vtOHSO9anTyRpet+07KM2mqFvMgPc7+UJGZpQK8uQQp62OZVBSZnz+IvIi+l2cRI9T37fX2jtwcqx6P5+PHHPxWoni2gSQZAv15Po4zrxpn1Ms2ccYKIETw0ZsF90IgKlgsNZyzpoikNMeZF5aW7HqZLg1VHOVmq8WNDS1WPw3u8sK/tJKxMmTMD//M//YP78+Xjf+9434uUlSYILLrgACxYswFe+8hWMG1eVR2hXLF5b24V//N6yEl+zKCKcIbfQ+IjW17Q02n4lktdYOlgO02Q2G5eVdY1XanyX+5oMC+ISrZzOO6nA76tH7NUa0lFGzFvWoQ4nu0xsxPEHVrXrPADgrrvuwqpVq/ImY6g4K28CBoJqMwBU5fr/lStX4ne/+13eZAwLzj28l9E8WgEbAJ6y/yhlZswo59QaGoxIsktI8LQQMzJ+PjYOwnCa5Aomt/i9tuM35wGKayPFNvFjelmhAguc8NumQMSxIpam2drRg/f8YCU6uiOKywjj7LPPxosvvoj//d//xcSJE8tS5rhx4/C1r30N8+bNw3vf+96ylFnr+OJNa/HX+e2hwgMI4dAIATMpzaxKIZHTxxTyvtBXnk6oJYGVvYWc8U/JxIZznWOGAN6NHvCvUuCV0zty5tiWzc8cpvErGy6FddkOjl77pyjbWntaPiOFauZtAZ/kjEwpfWAckHWzhlnoCk7Ai5UPJspfxTseW7Tz0AO+bkK6eYwiBeWiX67Bo2Xeb+X1r389XnjhBXz2s58d9hn/vjBq1ChcfPHFeP7553HooYeWtexax62PbsF3f2c9TpOQBzjPGFOSj7T+Zb95jZcw74h52khDq+ZZ4Ohg+hTeKOFoCo1p7jngr9BlRM7Hxhd84oi98p0g2Lq9iGXr9eNAa+FIwJ6eHvzqV7/Km4yh4q3GmKrZW69qDADGmP0BHJg3HYPBDTfcUAvnXGLiqAKO26cVWzuKeGFF/jv7njRnlBAsDSngrOSmYIHVCrNusoUHigSh5MdCPLufxYRAEpRtuCZkyxk5e+VBVfMg4DolVJ6jD37bcHx5JXfef71hLeavKv+Z04VCAZdccgluvvlm7LHHHmUvHwBmzZqFX/7yl7j88svR0NCQCw21gqIBzr9qJda1Fem7tIKX/Fb5W4T/3Wr9t78zVww5i6UJqhpkn9XCbLhV1JOkZDiQrqtW+LSzyQxXfyP+RPq+9iWQsK9j53AH3hAiXIOMK/N3RsbE37BPls98m+toeZhV8KP8Vmgt0gASU1zkM6B7RGjFGoor92aQ5UolRZaf0vu7p7bi8t+tRzlx7rnn4r777sOMGTPKWq7ErFmz8MADD+Css6pq8qzi8enrVuHJV7ej1C947JfyDBQ5gfqiJscwNAOa5A+Sn/AzT3LI/DRe48VR+n0MntGTjLMxbwMam/I2AADAS5GTCI7YcxR2D/bCqj7UwDKASQCOzZuI/qJqDAAAzs2bgMHAGFMzu/+/5YBRaCokeG55p2pALScO27UZO48TG41ZgUzR3b14LJQWEkV448GPhFo5U8mjoRRE2bvAEwYVAdWLQ8KwTO/KFmEskDItahuQccBb62pw7YNbcO2DW1BujB49Gr/61a/w+c9/vuxla7jwwgtxyy231F1Th4ilG7rxj1evhOElM7w+2vU1OWtLAp2bKYcfz4WxUOtehsT08TpT0WXatFlzzTtACsl97hhPeTrPAYRCquZSru5eL+JwHQKvAVE/aXiBeNbiu7wpjvt96RnyPZdBhXhLnoifSmOAi2bCNpYKDfNVGybbwN5rM5dcZ5j496ApSbGjLQ2wbF03PvD9FdGJzuFGkiS46KKL8Nvf/rZilj2NGTMGt956K/793/8dyUCWx9QRRUeXwXsuX4qt7cWwP2ofInslMY+2PMOIq+0DsVl2yWc4P80YwN6RRsSVfS2rr2QZLu17ptvSbkT9BW89Ys98lwAA8X0AkgR41zETykzN8OOxxx7DSy/lu9niMODteRPQX1STAaAq1/8/88wzeP755/MmY1jwtoPHAMZg/sryzxBLnLI/zf7LgYQHCCmQWsbvBhsWAo0vxGl58iDByr8c9IqKYiPd3KwgCSo3EPgFLdoAGBtUA2EcJfrE+D9vRRc+ekP51/1Pnz4df/nLX/Dud1dW9z7zzDPx17/+FbNnz86blKrGbU9uw3f+tLHUt9ysOH3EziUzEd8q4rM8ViHkvTxs/hq8ftGHphV7Lenia1GJx3lp7uL92dfD9deE2onQ127ZfLX5Szf52Gybxkv6ii/1CinYc7l8lW0uZwO1pRecxnp0QdSVCZMCvwfxg0meGrRJ4j/HxhvZhuI7KRrg769cjrVbyuMh2NDQgJ/+9Kf42te+VpbyBoIkSXDZZZfhqquuQqFQTaJp5WLBik585EcrFKOeUfqcNMwiVJSB0Djn5SHKsXyf+QMvq4rJa8wXtA2SHV9FWA8ZJ9bVs8KkYTVJMG1iI2bulO8s+7yIBwAAvOXwsWhqrH7jWQ14Abw9PbGu4lEVXNYYsw+AQ/KmYzC48cYb8yZhWLDPzk3uuL15q/M3AJy6/2g/QJ3tRihIynea0Mr5uB38hTDNygzP2rmZO5EZz+AlFAZK45KkI6M3MBqhNPAATgqDVEw0wR3+u+1dBuf9aCW2dZR386np06fjoYcewpFHHlnWcvuLQw45BA8//DB23333vEmpanz612vx+KKOsG9JsOLq+kj6ThoCpDLJrvVy+tWIAuWO/BoNsWeZvTyX3qOVrtqMl33HymasHM1NVSrEVrDW4M7NtgquKbWZzSehawyaYqvxT1cuxZH5yrx4fwEZJ2hT438Tsq3Ye8tT2u23kwha6Z2nfFDekqdSUleuRremgKRhP/jjBtz7YhvKhUsuuQQXXHBB2cobDD784Q/jC1/4Qt5k1AxuuH8T7nx8a2jIYuMcUAqMyVIqw0RvGmfANX4/sGFuAoQYulPuTYk/RPk7wjC5bMCIa0TeUY0DGs9TDIZ5bwT40rIOmIiYNra1gBNqYDPAG264AcVieWXRYcbeqJLT6qrCAADgbXkTMBgYY2rGAHDmQaMdE5yfswGguTHBmyQjZsFQhgG6cO0ETwhlG77Qx1Zwtmh75YjRkgc39ywHtzQjnhGVgqwcodg12KuvFGhFA8jB3wmnBl++fT2eWVrePR1aWlpw0003VfwM+7Rp03DzzTdj9OjRfUeuQ0VXj8H7frQSnT3UF6ICmVDcuK8kdB8YxDgfkZ5Pv7BpeJM/j08omrrkDXx1QislkUKl4wVKeq09tHj8ztJe4HqJzm/3IUD6rmAFcWFE4PhGSSevmkHEo5vaQholZVytftKAKRET6rPaTj5wGzCPlRvA2vaS+1YYUZjj/xHLiVNgTGk8KRqs2dyNi28sn9fVeeedh89+9rNlK28o+NKXvoR3vOMdeZNRM/jET1diezfJLvYT5tOHAF35du9krkmJX/JsvgfBQ6QlzzPsIuyDGiSvkEt5sgx1bJBEJG6MV6FCNgLcIORvovOM140tL0EjgEWLFuGBBx7Im4yhoio2NKkWA8AZeRMwGDz//POYP39+3mQMGY2FBKft38v4tnUYLN3QnSs9x+7ZitHNYjbLIhDi0nCNydvBgv+yBG+nQFBaF4dm5bRZ+AS0mR9lLoVYFjIT6wlAg6FnSecKCKKZJh5s7cxqGvbSqm5c9sdNKCeSJMGVV16Jo48+uqzlDhaHHXYYfvKTn9TXpg4BL63oxBV3bex9yJrhjV3ZkBbM0ourfeDlOHxeKPd3oMQnZD/0upcQjL0ykzCcEftsWAjX0gS8SCjUWcsd7My15I1u1t/4YZ6BMwnbmPNgWmLvbZt7hlb6DftaqiHXA8v38l62iWxz77sxpXawkS0/jRl+pabg8V9DeQianIHJxrG3CT77qzXYsK08rv+HHnpo1e1FdP311+OAAw7Im4yawMJVnfjGzWt95RkI+5kzUFFiqSy7+JJvGr3fMeQEh3c8syFeTXE0AyTXoxDhSczH7XNs9l/KatqYYipkHwBeBiDk0DfsOwqTxlb/Bsa1sAwgbwL6g4o3ABhjRgM4IW86BoNamf1/014tmDi6ABhgQUW4/7eWBh8gnM2yYf1R2AzCgcLlAd1CrGVrjD5oSqVCG3g9y7mhgZSF9/TawwOkMlup7cTNA7SrSwJjgI//cg26emTFRxYf/ehH8U//9E9lLXOoeO9734tPf/rTeZNR1fjyreuxdD0ZD7k/2GdN8LLLcGR8KM+cDytwcmZLKmxWoWOXbyugsjLLBgmePXYzxlS+5jWk8RHZ/WK8SGsbZITJcNsGfKwgtwsL385rghVe+G3Gm4bxn5a3zVO71/KN/a5SUOc68u8jd/SX35M0AMnfh+/lhq7eEhJTaifNWCXjpg8PvdyOn91XHsPrlClTcOutt1adF9PYsWNx6623YtKkSXmTUhO49Ja1eHVVFxnL0hdCye1zfb6FNIzKfALZBsLwl4T8n3l2Qp3UpC/dnicUzzsyEL4R0JiSl0OwRMfyd6KR6ZG0IX8PAAB4aWmnPkYAaEgSvOWw6vcC+M1vfoOOjvyPGh8CjjHGTMmbiL5Q8QYA9Cr/5T2gdpjw29/+Nm8ShgVvO2i0Y855u/8DwClzUiYsBXxGf91XJQIBV7wLrODo2+ot3zmBG4oLnsyfBE83mHGExBfEATEwczukxKeD6P89vhV/erE9g9jhxzHHHINvf/vbZS1zuHDppZfilFNOyZuMqsW2jiI+9es1pYBAwDShYGo/24xZmSg8JQ56v3K0CMXXprGwfcwtH2A3gvTZCZmKpKx5/XC/7os18aalWZCeE9LLge8l/7L81Jsd53hUxyQpLUHwyldmwrMMBPYqNtwK+C7XhelydIsw2QZOCVDiad8c5yHHAUujjS/3ZPC+A1MaN1JDQtEk+NefrerXcDQcuOyyy7DbbruVp7Bhxt57742vf/3reZNRE2jvNPjkNSt7HzxjJgTPS0p9Qusv9ln2PyGWOFiPgkBWMmF8LscuvWE+qxokJS8G9cGklAXzPKA0ScRlazyC0k+b1IgZO+V7zPu8ZR3CgAnvt3jr66r/9KKNGzfizjvvzJuMoaAA4K15E9EXqsEAUJXu/y+88AJeeOGFvMkYMnYaXcDRe7Q4wSZvA8Do5gSvm53ag3iWP9jgCiXB0kK6u2qQZ2xbOCFVxJducHzkmRzYVMWC3lumXqBwG98TwDlPQ+dsJyGN3iBdImhrp8GFN66LNsNIIEkSfOc730FjY74D6GCRJAmuuOIKNDRUv4tdXvjNI1vx5+fbQqXXoHQkJ4OVO6uM9Rey/5GuHgrAlh4jZqE0OhRp0s0AkyDqucuLMDnT5RkziWbJMzQeJOvMaaVQC4S7asuyYvkHs/us2KbppBdBkeroyhf52Ks0HmjGWCPCmV7ttw2EfiVcGpgY2ukOPOPIdEolxmv3Ut1+8KcNeGLRdqWw4cdBBx2E97///WUpa6Twj//4j9h3333zJqMmcNtjW0obAkoYhN4xWhzuM7wRHxvZZL8riPTyPecT9FXuaxC0Z1iG2XPH8yoSMptWHvMZ+5xmd8Se+XoBvLScNgJUfqe9pzdjr2nNZaVpJFADywAqfh+AajAAnJ43AYNBrcz+n37AaDTS2d3zV+VrADh012Y0qANDeq/N2mvCJb/zXMiMHo8Fd1YKZL7yiC0eMKWAz3GAkpVcOw/X0QHfou6RynX1q+DlYQy++rsNZd/L4dxzz8URRxxR1jKHGwcccADe97735U1GVeNjN6xBZzf1N75a2D5j37l+JBRJVdlKoQmxsn9p72WenldA4tMD7ZoSbwXPAjEMNxMuaaI0bFSICav9QSyuNpMeFb4j8fk+OOKQ6Je82nkO0LPavsb/rQHfmMAGCK9M+MYCy3dJgA9mJ2WdbT5auPasxZe8O/0d127uKevGf1/96lerfu+ShoYGfOUrX8mbjJrBv/1sJTq6hJLLkLw0+Jbh9y/LT+Usv5zoyOJjGo8JZBuEfZQzdPHTSHxikjPOCuZuKG3gRUn50bu89wHY2l7E8vVd/lhmUexlj2fUgBfAnXfeiS1btuRNxlDwFmNMRXuvV7QBwBizF4B98qZjMKgVA8DbDkzXDRqgq7uIhevyNQAcvmuLo8cJe1Lg02Zi+AqImSqloKjBgPLRZrdkXPeMkqDLg4xc76oNjFqdOKwortLF16MLmLeqq+wb/zU2NuKrX/1qWcscKfz3f/83Wloqmq9XNF5a0Ykr/rQxLnxapc0dC8cz6RQPEMY4RL957zqQsKBco8fh907pNOS1wAJnkIjoZ16WlLwDbMIs4yc/Sxf+SLGq623snaYAMLIUY/cn6GJaY55Z0muCebfmEeJtBMvPkXrI+vA4Io24sTrKtpKSVTrD+fnfrC3bxn/HHHMM3v72qtiLqk+cd955VW88rhS8sqoT/3v7WgAmNU5a3kRXyVcBlBRphP0CFEfKHkEcBVaZ5b4pJ0f4at/btF4f5IeYcCVmcjTvK3el/IypjH0AlqWnNkXa4C2HjfW2eqlGdHZ2Yu7cuXmTMRSMQ4XvX1fRBgBU6ez/vHnz8Oyzz+ZNxpCx/y5N2HNKgxsYFq7tRk/Ox3MePqsP1ybJ4y2KgsGzsO3SaoI+hcllBrElBTHhXM5ssVFAQ2xGKqbcq4YMP54xwMd/tbbsG/9dcMEFNePGOXv2bHzkIx/Jm4yqxpdvIw8UT4iRyqum4NG97Bc2DfcRKQuKPuHl299uoRkbnFJKZRUpLhJf0WdvAiB0U2VDglc3RaL2jkNMSoK9qvRymSi1u0R/2kKb7c5qe1u+DGPhncuVJxYA4ZGGnveX4M9ZxgXXthl1jxkLuJ7atyDvE2DJ2q6ybfyXJAkuvfTSspRVLnzta1/Lm4SaweV3rMfW7cQnkfiyiOUJXn+08o/oMy4PyZeYDxvfoMbpZPfLkm1setUD0taDyjOGDAuaMSDNxONT2kBQeq4MA4A4CQDw+NCUcQ04cp/86Rwqbr311rxJGCoqehlApRsAqnL9f83M/h/k7xo8f02+x/8BwOG7pgYAT/AWkeQAIyEHHjnwyfwBfzCUxgE2DGgzUoG7a4ZQKukMljSIOP2ZkaL7+17ejj+WeeO/pqYmfOlLXyprmSONiy++uOp21a4kbOso4tLfbeh90JRoCe4zVtHz9ujISoP41SnqpvQc4ycSUk70dp9W4niz+9D7f1SRJqK84/zSQiQPYqGc28EThElIzvKykM+KcushJmfLOkkFWubnLZ8gOuWSLsu/5ZSXSdNrSxRsHtppMVleHmxI7ssbBPC+p2/euaFshteDDz4Yxx13XFnKKhdOO+00zJkzJ28yagLrt/bgB39cXwrwPHFAfQy+0h/0Z2JYHl9IO3JiXyR+n+HImiEQFE3yjoKIzzzbKvycno2unE+0/zIPDMeQ6RMbMX1SvvsYLVjeoR9HTe3x1sOrfxnAHXfcga6u/DceHwLeboypWF+MijUAGGNaAZyYNx2DQS0c/9fUkODU/dK1Tinzm7+qMz+CADQWEhw0ozkUQIfqlcBMPhFXqZyowi0pJ4l4J8vJ8hbQ4mSt38yasWQFxD4nwP/8YUM8vxHC8ccfj5kzZ5a93JHElClT6icCDBE/uX8zVm3u8fuP/Pa1pTiqsqp0BOkKbu+1PiwV6KJII3mBhBRSPTpEmMaz+L3bMIsVXKJJzohL46RUjj0WQgRaAT+2o73jgcYXNPvrKdGfOJry7wn9QmjnNpC/qVVgNA8SzVuL7+XGfpY2rz4mmx+7ePDrXjRYvakHP/nLxr7TDhNqxfVf4qyzKnpCrapw+R3r0dGZMiJWohMIHgKdp1kDok2YUESrcBt6rwpYIk/RbxwMlcdeVXxEbIynSh5jrzZNwHOUZ49sk/tGgMvXk/ecJusVgeMPHINRzRWr4vULGzduxP333583GUPBbAAH501EDJX8dRwHoOqm2BYsWICnn346bzKGjOP3bsH41vTzSBnLvNX5egAcML0JLQ1A1HrMr1Qh3ITMMogTCbPCJ+APDhLeoCOETXmqABCGyee+hFYuV9IllIbHF3dg7gvlnf0HalcYrdV6lQvbuwy+/ceN8f4kZ6U4nO+zFDPN2ybmpWNdxu2mp07oUzwNNAExphsWlXd9Ge8cH0lCXsGzXbFwSz+vl3dtkIS8xc7k8cZZLs/EC3IP7F7P/Mf+ZRpD4Qvg2iygJtxyeu0eCD0BJC/28onwV2MAbbZeLjHQjFeKF8W3/7Ae7Z2xH3z4Uau8qVbrlQdWbOjGz/6yUZcdYseAsjxklXvmJams4fNEySwtEr+Pe94EpvQ+ofgaz2XlnKLCID1RyYThGs9h44IGSpv3RoArN3b3Vkse1Ui8t7UpwckHj8mLxGFDDSwDqFimVckGgKpc//9///d/eZMwLDjjAN/2UiwCL6/JewPA5tKsFcMTfOlqwQOYG2DEe0DfOEvuGC4HGs4fyjsvngnLzRJA2UWVFZ3oDKAQ6oV76//8YWMGcSODJElqVmg766yzUChUMgutfFx59yZsbC/qCrHW1+R7d2/CK/chC/lsjQxSyfeMDxo/ifAYEM0xJTURVy0P+6wemcfxmH8kpTYz1HhuyQTRbvNx/NKmTfwTCVgoZyOqjevxVeK/TK9sJ0Zs9k1rDxb4IeJ4abh+wnihKTscR5Zn247bCCKtZswFXLpN7Qbf//NGlAszZszAkUceWbbyyoljjz0WU6ZMyZuMmsE3b1vXa+eSfEfyMO773pJJ2SEobRG6TOX10bRwy69ceSzbyMQopQlot/mlcYpMENXNiHupSItkrj7p+7wNAF09Buu39qDEc9MXtt5p+57xurH5EDiMuOWWW2BiBtzqQMW6LVWy9FqVBoBacP8f25LgqNn+ZntLN3ajvSvfTnj4rBYS1k1JQOa1sJ6QbOANNkA4a2PByrUXH77QqSnxEpqQKQccOcjyLKZ9721qlcb1Zt3ofdZ6VmPw4qpu3PTUNoXYkcWBBx6I3XffvezllgM777wzjjrqqLzJqGps2V7ElXdv0l9y/+hrNtnb8I3fGb+/a/faM4cDYb9zyq+IZ8vn/ippV5VWUWd7Lw0jnkCu1FXS7rwDWFkX+Xkz5LJNiChnGDDh2nwLz7uCjAguuI8xRNaJwzS+CvRKMVII5vbXwhn8GwUznEyH8dsqZojlfQqSBFf+aQM2tZVv99wzzzyzbGWVG4VCAW9961vzJqNmsHB1F371N8F/uS9JY5s1ikm+pPWbmFHX5Wv5CajPQMg2gXZL4YIHcTgbQG1S/lMNHCKutpdAGqcSNgJcsaETpbqa0hVw/P6w3Vuxy8R89ysYKpYsWVLtXtWvN8ZMyJsIDRVpADDGzAZwQN50DBQLFy7EE088kTcZQ8Zxe7WiqTHxGOK81flvxOE2AHQDh/EHKI/52XslI7mumAVl+54FWd5x1rnBiZEtNlOZNSD2JcBL5UKR0b20GQrN1+duVPWbkUatzv5b1Hr9yoFv/3Ej2jpNXPEC/D5knz2hTShxnGYgkLzBeeAg5BPWS8BTtBGmZyU72JAOIe/I6ucauM1iPEUzemZ5KhgZSAVI/igFa9tWrCCzgG5sPqIcTenwFG6FXi5fpsu61wwoMRokPGVC+ZHIaNTeUcS3y7zvyumnV+XcSb9xxhlVuTd0xeLSW9b59j95z/0rZsey4XKDPouYHCQNj1K394yQ6V9gcBO0STlIVkiOE1wulKvCJ2ZMasTOE/JVrFds6Ba8TRg80GunPePw6vcCqPJlAAUAx+dNhIaKNACgSmf/a2X3/5P2bfWFuQSYn/P6fwA4bGZT740meLGQaL0E7L2Lg9KAYgcVdncFSsKtdB3lQalHeS8HS4ZqhFDCsoRPLt9TgqSVm4Tu9Lp4fTdueGSrkunI401velMu5ZYLtV6/cmDt1h5cfa+YhZICoxTW7NWGZynWUnGUCqWXTuErbFxgRdqbXTe+gi+F0KLx42q0et4JgC8oi7w4C2kUidUtqGt/4xN/lLNuMiHzURtgRIQEPp/1+BZI6FdodbOEGXWSZGmGA8lrZXvKuNr3yMYOBrlI/+TeTVizpSdC7Mhgzz33LGt55cYee+yRNwk1hede68DtT2yJR8jkl3RvlXDJn4tKHJlWW2oZ8BJBk+T9kj94dJvQmOvxWNmHKQ4/W35mgL12aQrpKiNWbOj2afTGQOPenVEDpwHccssteZMwVJyYNwEaKtUAUJUm3lowAIxuTvCG3VoCIWj+6nxPANhrSmNpU0KJYMYIQkAHreUEnBAqZ8PsoBObGeMBieNqAiY/yzNrDcLNZmRcLlMKoFw2KwNMCyki//vHTejWNj4rA2bMmJFLueVCrdevXPjm3I3o7DZ+/wPgjHhyp2f5OTuDnwjnXZ5lutgMT3+7StYZ81nh2lIjVoY5rczDblBoBV3Z/7P6uaYcF9F3fbOWSkQVcZEmsQSi9Ju6+qY/uhPK03jezvx9COgcHjOuynDNkCDbR8aVfFimcXUDUEjw478Iw1YZUOs8qdbrlweuvntj743nfg9fjop5u6hLr2Q8unoz/Aox0vWeXdzZ6Cj7tJyUgS2L+QldPV6WlPotLyn1yrIeCL0Bu0/1l8mWGys30kkA9ip5UwLMntKI/XdtKS9xw4ynnnoKixcvzpuMoaBuAOgPjDHNAE7Om46BYtmyZXj00UfzJmPIOG7PVjQ1JJ5wa0z+HgCHSwamCV92poqtujxL51mARQE80NiALLdiaXSQ+cjlCTyDGBNeZV59QSr+imC6rcPgZw9mWPdHGLUurE2fPh1Jf44GqyMTSzd049antgI0w1JSZpPSN15AqW9zH5J9wYbFZos1vTKm/MXiqbPHEY8cFyYVaCFsG1NaX28ojn32PAmoPMenSJCN1UkaCjTlVsaP6OEBv5LCN/8G2nIEzShrBP0swDuvLSpctmHRhGV5dYh8O1p9uF6awTZmcADwzJLteOa1jkiGI4OmpiZMnTq1rGWWG9OmTavz3GHGH57ahrXWU4X3EpKbXEpvAC9uGkZLYNR+Y9DrRdkXn9b6G+AbgS1/sPyFPXNcWqbDlLQel3+akcqvlfvUKLL7zpXgAWBpohfK/YkHVv9pALfddlveJAwFhxljJudNhETFGQAAHAOg6nxW/vCHP+RNwrDgpDmtgfC0ZnN3707dOeLwXZt9AVWdpdeEWmLsVsEPhFapsCdC6DRito+ETGlNTmd+RAGhwl9IIsybBtjYDKJERrSbn96GbWU8foqxIwijo0ePxrhxVceuKhLXP5QuU2HhUiqJRROOWp7gJ/qZvNe8ZFiJ0/iKVKizdA/Jg2w9ZL2yID0LCtQOmveATcP7ERj4Sj7zTVaqE/EuNisujQD8p+UP5SrvLaQB03oD2Gayir/9fdnAy8qJ9SpIKA8VbAjWxoM+6JVxtTgGuP6BzX0kHn7ssssuZS+z3GhqasLkyRUnS1c1unoMfv1g+r1qS1r4XjNqAtSfEj8dR2eemCXfMP+SfUybcLHhRYoj00meFaPN1snVReG3xmD3qRVgAAB0PsswwAkHVN2J6gFqYBnACXkTIFGJBoCqXP//+9//Pm8ShoxRTQneIHb/hwEWrC3vGkYNvUcApg9ZjLw/wpsUgDncDih8BrTLWwj3ntJAAqoduNxMVFISTKXywQXI48ikZBoTNjNw/cP5rP0HdgxhFOj1Aqhj6Pjds21Yu1Wul0FJCLPgo51s/7LhcpM+vkrl1BrqNEXZ3jOvkIowx89Ueql8+xwYJhSjAPMKdsPVjv+UQrcsW+YZeA2ZkjET9E6692rGEpl/7H0WP5Y0u7YXYS6+0qbSmGE9wmJ7JsiCAxdjMg6oSn6kbdMif5GD51Wte1xZ7Cj1LCeuu29T6SHw0jElHiF5bJaBIPB2ojBOpy1dkhMpRvxp79gIINNwmCb3yXum3xmXSy9zNwBs7M5c8cWYPaUJe+TssTBU3HvvvdiwYUPeZAwFJ+ZNgEQlGgDekjcBA0VXVxf++Mc/5k3GkPGmPVvQ0kAz0ymDfm19hZwAYBm3/JNCZ8wI4A0g6WAUc2zQhFtPGBSDF8+82TiewmHjRMrwBHt6L2cDbZgctFwZpSxXbOrBH19qj1Rw5LGjKMZ1YXR40F00uPGxraX+FVsmE8zIGL8P8DVx/+Lr5dkbJ83Og2e44zIoPvfl2D4FnL9ULKUgTWS795rQ68VXZtW09bsqX0p0I4S6L4GkvZ/X/s60Z/0WHO54YDoQsHLB9SrQLF6R/mxab6+BpBQG+J4Vsg0CZad0e8+LbVi2ofzL5nbaaaeyl5kH6h4Aw4+HX27HgpW015PHL3kSgwwCQNjnOIzBx2NaSAMmp9W0W00uc+kQ8mRNLmTjJxdh42pakcsvcXwjbwNAV7fB+q39n5w7/oDqXgbQ09ODO++8M28yhoK6ASALxpiJAA7Nm46B4qGHHsLmzeV39xtunLRPa+mBhKmVW/N1/582vgHTxhV84UsK84DYDVZkoinmsRmsGDzB1CiCPw1kMRpsuzpXXo5n65QG8nm7PEAW0oGYZ8GMIMYY/Orxrf22EI8Empvz3SSnXGhqqm7LeiXhuge3lL5nZ+Cjb1v2ee/7pk7uKb62n1Cn9IRWhZBgxpnK5aP9bBivd+VR1RavODZ4eXrKqxLHyy+NEMyQRQRxee82RDUlwT6Wxj7behdFnL74C/Nbrd4atPja7838VPPysHRqa5FZmfH2UzCl+toEbGiGaCvm40mpvOtycP8HgHXr1uVSbrmxdu3avEmoSVx//+ZSv+I+12NChZwnLDSFP4ufcP/JWhIlvac4zD1TeMzIyFdOXqAwG84bNBv5V6rT7Cn5j/srnZExJvCWUAvLAKr8OMADjTE7500Eo6IMAOhd/59l46tI1IL7f2tjgqN3p4326FdYtTnfJQCH70qKpBxsmHFrG/wFll85iMk8MghRFQXog5MUQr20duZImbHTZtk8oZ3yswK5pyDZshJcl6P7PwCsWLEi1/LLhR2lnuXAgwu345XVXb4AxsYue8tCKvcJi+BYQFJiGcwzDMWzGWuusK4MzpuFYVGpQPkU4VJIlTwpxpuYV3D9ebNT+xxDjP8wZF62HfuzjlfyLK6PvWdDZ0yOjRUTeFJkpPMEe/5eDIJxwsYp0DQif0PW6GP3J3BlJWjvMrjpsXx4747Ci3aUepYbNzywSedLkoV4mwMiu5+ygh68M8IDBzSJkoT5BsskI2XZ+xh/srxGU/aBcC+BgohjgNamBNMnNsZpKQNWbLTeucEPlF5L9d9vRgt2mZAvvUPFH/7wB2zfvj1vMoaCN+dNAKPSDADH5U3AYFALBoBj92xBayPPIMPxjlVlPsdYonf9v7AUB7NRoHsRLgcXHtCk0G3D+A8UByJMe47NeLn4ymgpFRoJz8iAUj35KC0STp9f3oknl+Z7dOOOIqTtKPUsF65/aKs+Y671O+43weyvfNaUeNnZFcbg8pFeBTYv4Z3g0WbjEY1FhMcTcvosxV9TeBNxdbyB6g2EgrNHI0pxtD0G+LkowtW4flE+74bvwaUtwZD8TtZ/MJDtHczyGXifAkD1Sp+d0s952Hr3/t3yxFZs2Z6P19yqVatgsowyNYCurq4dxtOh3HhlVRf+Nr89ZIdAqf8U4S9DtPFiynQh8Z8tnAeSzZd4iGdckPKb4Ecx/qYZfFUjhFJPCT4uld5XxkkAgkdHkCTA8VXuBbB161bcfffdeZMxFJyYNwGMugFgiFixYgWeeuqpvMkYMk7aJ35O6MqcDQCHzWjWBU67O7Y8qsZCE3htWrkxFAvCmhuZ3AzLRO7tc8yzQAq2iRImoSkKLOzzZmZpO12f0wwUo729HRs3bsybjBFFXRgdflz/8JbS585Cp4XU02Ozxxw/du/19TQjt+s8z/ySlu3OgxZeN97sskIQ14P7r6wHP0tDiCpIizRGhFvIXbU1QTfgsxQO+DxVvjNAYDxw636JhmAjMfhtZ8MCLw5x1WbtJbJ4a9azZlDid7auJg1w9Ulw46P58d6urq6ad49fuXJlzRs58sRvHt5M/RXZkyX2WR7NZ++tsYDT8R+/A6UDQsMb86aYJ0DMCCn5EYfb/PhZ1oVppKizxWsAAQAASURBVLC89wFwRwGyocSbYPLbqL4MIHeclDcBjIoxABhjWgEcmTcdA8XcuXPzJmHIaGlM8Mbdaf0/cbiOboMNbfnuAbD31EYxENBLFqIZPBAUknAAibmvxhbNy82wpAISU0KkAqMZC7Q0EHG4XnIA5rPBAZgi8ItHt+n1KDNqfXa8LowOP15e3YVHF6Xnp8eETiuYcr/TZsc1ZTimIHOANRLC9nXLdyLKvRXAYrNRXGhm/xY3BYQCrVZPRwPC/GUZnEcsL44XbNol0gI0k0eCto3vLVWifLQ8XRr4efASKK3OUqmQM5QcV6uvUd5r3dqLY/w6G6BoDO55sU1JWD4sX7481/JHGrVev7zx5+fadBkli7doCnxBPMu4qtIv8rbeA6oRImIEAMK9StizSZsw0pYdxPJ0+VaAAWBjd2gITVAyYgsvicN2b8X4URWj9g0Kt912G4rFfHWSIWBfY0zF7BpdSV/CUQCqbtewWnD/P2b3FoxqkhptL1bnPPsPALMnNvrCLc+eeQKgCRV4dtnUdprVnrVdn7U4PKslBylPkOQ8EA5m2n3WjFZUwO/NZN7qLizJYQdqDbUurNV6/fLCXS+0iX0vAK+TeH2AFGSp8CnRvDw0hS+B4DNQ+mRSos0KXIbeyQRO6CShzKuLFVQ5f0sTlSXrwYqrrItUYvneehYURbhqsBQNF/MciD1HjSIoCedZngfaruGONkGTNRzIY161byIm6Ac0Imx7e2U5NEnw5KIObMzZYL5w4cJcyx9pvPrqq3mTUNN4flkH1myKyA8GvuzD4c5IymGIG2a1ZVAyT+04Zi+OkNO8TZhFmFwywHlkudBLoyZh95w3Alyxoduny+Pntv5wfLwhAd60f3V7AaxcuRLPPvts3mQMBSfmTYBFJRkAqs79v7u7G3fddVfeZAwZJ+3TIhhfSeJZNYBjRkYCo5sT7DSmoAvqmuCquadJIV1b58qQ7qnWsMBWYrd5GAuwgnhW1rMET60+0uXZ0RKJT8/3zK+cTVKefPLJvEkYUdR6/fLCPfPaUTrCTYHrC6RoSyXdY2kRI4GmRMaUfi+dUMjZYCAJsEIzElEG8Q5A3HN+lveQkKrxGqaNwxwvofSSL8lZpALCNsoS1LPeu3gRI4FnDEkJ8o5WjRgQXFtSe8j1+R5PNcpvqBDtzfQBqrKjeVBUwOw/UBuTEln43e9+lzcJNQ1jgL+80CZ4n+ijktdwp2CDpOSfVuPQ+KUm/8h40ijL6eT+HDxGaJ6d3rIAJVwzIFikYZXgAVDsyRgPLP8nOfiEKjcAAMCf//znvEkYCuoGAAVVZwB45JFHqn6Nc1NDgmP2sOv/BfMEsHJzvrMZsyc1epNiAWLKtL3XhHRtoHBlJCVlnwXlAg0CMcFVDhxW8HcusFSOtaLH1sBJhwy+xuqd/t2zoHIMALfddlveJIwoar1+eeFvr2xHR7dV2Ej68/pq+q+vWV1j00oFlK4sLHF4UbyHiON4CqiPGj8P6x4PE/Z3zzBhSnQWvQzIpdMmtnyGeI4tm3lRAX444BtVbPlyra+2/j6L/0jjyUCgncwg28fey2UBNr6NV6C6S2OAtyzBlqMYFRyvF3TGlBWbzgD3vNQer2eZcMcdd+RNwoihWCzWDQBlwD0v0jIAloO89fwsJ/VlqLXpZbjoozacs9MmQ5jvgtJwGE/ASDocXyY5TzNEBp5J/nPeBoCuboP12/o5SZe27xv2GYXWpsjvVSWoGwCGBxVhADDGNKD3CMCqQi1Y2l+3axNGO2bAAmYv8j4BYPYkOrZEDh59KcRAaRDQBhctjR3gPOESoUAplXw5eKhxFQMBew+wS7EcrDTIeCmpf6kgA8CDDz6I9evX503GiGDbtm2455578iajJrG9y+ChV7bDfdyGP3RQf6M+E8zWZ3QgTsPpCsp7LZ0rA76AKmEFS2lYkAKpK4eNB1awtgK4TCSqpy5bsu8T/9m2T0KVkculuBhn5DBqcwb0aKTKdLbdvPX6gpcyNG8Ajh/s0E/xgzZS7t3vKX4DqagAvkKUvuo2BvfPz98AsGLFCjzyyCN5kzEi+Otf/1rfdLUMuOeFNqi8xpsNj/Qvx1soneTFAa+mOHKWX3oK2DTBhqpMh7iPynzU1z1XehOGyXoWDWZPzX/V8soNYh+AGH9Ow1saE7xhn1FloGzkcN9996Grq6vviJWJPY0xs/MmAqgQAwCAQwGMy5uIgaIWDABH70a7/7MAmQqueZ8AMHtiQ0oTBfJMviag2zj2WRO0Y+k4f8DfOVub5WLjglx7GnVd5UEUfVvRbVxvcNOVmudXdmJNzss2GN3d3bjzzjvzJmNEMHfu3Go/k7aicc+8dupXoD7Kilt64xRBU+JfclZHk5KkoFjkd5SnCgOV3zCZ9lluiCVJ8YRVZQbcKafw+QTzJc1Fyrh/QtAmAd7xnvTPU47FVcuflWbNqOLoht8+zIsTqD+PXxYFyiVZNh8W5qXHgEQi6q8uxRBl2GzsuFBI3Fj0+KKO3I7/k6hVz6RarVel4aXlnb3rywF/Vt3yV3r0+zQZLO0mqp4xIPENbJ7MI/qYfGXEH9DLVyVv0Xir9i5YLkDPNp48/YmPLC0kaG0Epk+kSaoc4E4CAEK+K8eltF7Vvgxg69atePTRR/MmYyioCC+ASjEAVJ37/6pVq/D444/nTcaQ8cbdmuMzXagAD4CJDSUhlgV6w9wthQ3i2RwJ7VgthpxVl5ADCT+73aetMKwo+vys3XuKviKESyFYpK2k9f8WtSq01Wq9KgX3zG8PlXg7m27D+Sg22RcZwcxyEsaxaaUgKiVKDmfFVeMrmpJvn6WA63gT8a8ifPf8Anweoc6yMZiHpH+B0G3bzoTjgItGirDG+6SRRi510PYUECQ6Oh0fF++YdwdjAfw21Xhmhitv3MChxOPvzioJSZLOmlYGapU33X777XmTsMPgL3Y/C4OQ77jvHiWlXxpLLS/1vImYx1g+x7zJvrJlES8M+qgRPFzpw5YnSEXYiL9YGNeFabD1N/kvA1ixkQ01KX3ScGGRjiVvmjMaDbH9daoEVb4MoCKOA6wbAAaJWtj8b/r4hl4Xe7kTtIWpAAPATo0lZd8K+s5llJgcC39uBsfojDwLUcEU0TYKhHEpBPOzNsDIgU1zg9WOq1FmqirRADB37lxs21YZxxIOFzo6OuprUUcYD73agfYuK9CkgcFMMUlvcobZQAif8PkGu797rqyyU1v+w1fOTxDOCqwGKXTa+imTYb6HUSR/zk9bL8v5AYpCrFWACgrc7LW8oPOtmEBt3/GyLqD0m2h7o2ieBbEqaNXh/GPx+jLOevFJATKmItb/Wzz33HO499578yZjWDF37lzMnz8/bzJ2GNzzQlvIVyxPBcgzQMhZXjexir0wqnqz7cTsLP/lMJso1nddlETnNcyDLA8pEDFSbovdSzkzva8YAwD/NhKeIRQYN6qA1+3RqsetElS5AeBEY0zuFpjcDQBpI1SdAaA23P+bvQkvyTxNUhmbAPpKuylt0iQVAcfoTUlBjiE6YEUQ8ZCIulxJwVXGj+Unn9miy0K2srygiAT3vlx5BoAtW7bg8ssvz5uMYcWVV16JNWvW5E1GTaOz2+BvL28PBbCYUlmkq3unKJKA34+MDEsTSL4TGBjFeyh5SqVd0sLKPSu4ku1KHqIZDrSZLpdX4rejI1sEeoYQMnrYQj25nIV4CCE/CfOWZXsbFMo6C4+C2NUrH/q34Y1vJkwbCPYKvXIs8TZ3NTAGvd9qhcAYg4suuihvMoYVn/vc5/ImYYfCA/Pbw77Bs8w23OtvxAM8b0vjT4DI0z4ARCdtDL/juBnGQhcnzYD5g/WqcgYD45ctxxtRNX/D1wo5ChDw5UL7bK+KLHx8lS8DePDBB9HWVjleVwPELAB75k1E7gYAAPsA2DlvIgaCnp4ezJ07N28yhow37taiMPAUBtjUVkRnj3xRXrg9AIASQyua0losVRCncBZUA4VBBHD+MktVaA6LVa+mj3jaQCpnEKVgz+tXU3qfX96J9TmfQR3DZZddVjObN23ZsgX/8z//kzcZOwTulR4tUrG2YdyHZLi8t7BKK6+5Tyix4y/ypVWESdtkGuRse0xpDRRPugaeDvQnTyEwyh8LuzEeKGkNEGk8y3NY4WfB3grT7CZvKE/bJk74T0ruxFwvZ/xkUvh3IfLkJouSbG0YY68Srdr8ThqVhQFk2cZubO2oLN774IMP4tZbb82bjGHBr3/9azzxxBN5k7FD4eVVXeiR6+slj5Jh2nIcadzjeK7vpX3LeRoYX7GXkz3Meywv5nsv88Q3NHiEUNnaiSBS6ed3KfL2ANi4rUe0ieDV9ioM18fvX90bAXZ2duKBBx7Im4yh4Oi8CagEA0DVzf4//vjjVb+zeVNDgtfPbtYFoxQrK2AzuV3tHgB2lsigpPy7gUEIg/bqhExOTwOFO/IPfjuwccG5eVKecpd/DVxONA709o8pBvze20in9/n5FZ3ZNOWITZs24Wtf+1reZAwLvvnNb2Lt2rV5k7FD4IW+vmmtn8QUOm8mGOlMkNH5B7u82iP4Yh1W7kZtb4wR9wjvuVzOui/lFfCNC65soejz2nsO5zbgOstyuS2LIixQ6k2YvzWWWIXeM7iIjIKlCUmJ/1p4rsGUhWfMEEoI14l/V24bq6RovJYVj4gxef7KytyR+vOf/zxMbH+DKkFPTw++8IUv5E3GDofOboNFa7tIFkIoD1loPDhL/pG8jU/w8Pi1FpYGGBHIPIj3FZA8RBsoXBpRF48vc/8vVT5vA0BbZzFQ7gN4J6L01mPncQ3YY+d8aR8qqnwZwJF5E1A3AAwCtbC27tAZTRjVKBgg4AlMqzblO6MxbVwDWhoUGj1GTwk0BsiCIQ8ORRoYWJkvMoNPE2uDgNxARROyM3SGgDZtNkrmqQm7pvRu3uruSEGVge9///tYunRp3mQMCWvWrMG3vvWtvMnYYTBvVUSx0pRl7hPyXgpzWh/S8pJGRk1RD2bCFAKc0ZCl58RPB6tAG3Ev85aCL9MqBEFNCOe6ytMJtDQGvfypAL9deLkE1yHTMGtK/BfGV+idEJ6U6umdeGBKtEm+qbn2w/h0ybC+vgmIeLFwA8xbWZnG1+effx7XXntt3mQMCVdffTUWLFiQNxk7JOZZAyzvPWQQKuux/hLbXypmQOA+yB5EnK81HspymA71+D7LVwRP8fitDaOEHi9KiM/2Bu+W8xKAbR0kDw8QR+5V3V4Ad999d94kDAV1AwCq0ABw//33503CkHH07BY/wDJkUkTz9gCYPUkcASgHghg8YTOSJna0GFCaqeK1YTY/zVXMW08shN6YsCnrY2ejsmwuWlp6nr+mMmehLLZv347PfvazeZMxJHzhC1/A1q1b8yZjh8GC1V19Ott43kGAfy89caQ3j8uD3gNh3wXiM+AafZ7BIOULBfGOC2dvgbASIpxnv4k3iSwzwVlLA4E9WovjSSOK9970rThLOAWeCHG8lXko/37kTaHNxge/JxkmnGEk8euS9VtqdZdx0vTzY4aqCsCnPvUpvPrqq3mTMSjMnz+/6seMasb8FR2hXANAdTfXnoGQt0rlH9D5hmT8nueB8Q2NbFN1fDERfdiU+AvXSfX8oYTaZA/x9UljG5An2uzSoyxvC3VyLMGRe1b3RoCPP/44Nm7cmDcZg8Xhxphcz5DM1QBgjJmBCtgIYSAoFov461//mjcZQ8Ybd2/2BTpF2Fm1Oe8jABtD4R2IK/WSx8lZQG9Wy4TxpVspEA507HrPM2DWIiwFWDtQGUmsoLko4ypxYuvrUsxbXblCqMUNN9yAH/7wh3mTMShcf/31+NGPfpQ3GTsUOroNlqxXPFtYCezPTv88YyUFUi8dSrzCdmXpKm4VYE0p1ARbz6hAGbEnkxNMlfSSWE/xFTPoRVGgxuMlimmeVhrgZVEKO4vxHy8/6zHACRMRJ+DdxqeZwz133yRMA8GnPaME8WnXxlQWRDxpvAFKx6DJcSRFpXoAAMC6detw9tlnV92GWVu2bMHZZ59dzQJ+1SPwAACofwhZKBbPPWdcPeUeOl+xfDeBvg+KjeP4swnTQaHT8yhS6mR5qjvimcadJMG4lnznUbd3GRSzJo404ywAGIPDd2tBoRKmgQeJYrGIv/zlL3mTMViMAnBgngTk/dNX3ez/Cy+8gA0bNuRNxpCwy9gG7LGTMDzJGR4Aq7bmfQJAg8+8pJu8dNnMmqmJCcDSKODikjIeDEpWICWhU1kbpionHJ/dz9itTLq+uQGOBF9RR2OA+RW+BMDiE5/4RNVt3vL444/jn//5n6t+PW01Yj4btrj9pbDJ6/mlK7zqtYNQ0NQ8AHpMGM68xzMYKhWQn4w08ll+4ynrxu/jzC88xTcGUTnN68CLxjwnKfE/numXfNA+aycWyPdG/LkTAEQ1pDLgxWEBHKKtjXhOSu3lVcAaecnYy/VmOgoyKRtZ/LrPq9A9ACyeeeYZXHDBBXmTMSC8733vw4svvpg3GTs05q3gPQCMv/lnosyOWzjZhwSUQDaie6+rGipTyZs3ppZyYZacx/xI2+jZxgvqwVegtIdJb51amxI05KxJtckNSLV2UAwBY1oLOGCm8AauMtSXAQweeRsAjs25/AGjJtz/7fF/DHkOtQFWbsnbA0AsAbD3cmdaIC54C0U5VMbFNaYQaPnyoKYpDgnCI2rYKBBbSuDiUX5SKBb0rNzSgy0Vtgt1DJ2dnXjXu96FZcuW5U1Kv7BmzRqcc845aG+vnHO+dyTMW9np9w2epQFKfYr7mEVs/YA8l9qmUwWnJOQPMd6SxWf4nTX4yTxlfGlcMFBcUiXP4PZJM+IlTXK5gSd4U0W98m0+Cp2acUQ+x9pDegUwPQqf87wzJFTvLAmhyFhvB43AYOdy+0DfWtK7WdridZVtAACAG2+8sWo2Yv3iF7+I2267LW8ydnjMX9kZ8iB5dJ92r3kCaEdpSkMBx5OnjATvBV1SHpTpWHbksFgetiwn74l0rloG41rzVaW2bS+G4wsjo55H7VXdywDqGwEOHnkbAF6Xc/kDxn333Zc3CUPGG3drCYVWyUwTYHXuewA0+oyrQFcWLCXji9UJFE8iJoRLIbCvdGo+xqdJKjIGJUWFhXtj05pSHDl7mGJ+Fbj/M1auXImzzz4b27dXztnZGrq7u/Gud70Lr732Wt6k7LBw66utMFZgBSy9cft2oPQM+EYB3mkaFG6hGeQk1OOkbHrxHInWmw98vsDKrYwHhPzDpSPh28ZTN8CyNCb++6IgIGEGJg0G1L6BMEztzXnGlH9ZJ5s2xmNjhhd+1oy3WtmJuDcyQ0psmGCK69yBgZdXdfYel1YF+MIXvoCf/vSneZORiauuugpf/epX8yajDgDLNnRjW0cxVIABcRJREum7pMxLXmv/+vIWiEHyoNi7rHT8rE0sSW+jwMDaG3/8qJz3Aegi/g+izzOK0pV4ZbXvA/DCCy9gxYoVeZMxWOyYBgBjTAOAw/IqfzAwxlS9B0BDAXj9rGaf0UVcp7Z19oMJjyB6DQAsfCEUmvmdBbtuWkbHG3jZ+rLQFhPgtBmv2LusdBwmBxQp3GqzUgno+MOkpMykUSr9BAANjz32GE455ZSKPVJv48aNOP3002vC6FfNcCcBFAUvICXMc9MEFGUwob4vBMyBCJ6sQMu4cmdspjV2Lw2TmkKrxZHgtN7aVfvelOrulHtEeJgwBiSSAMrTgWbrXBtJL4JIWbyTv41jw9hIyvyziJB+KcjLfRqYRpUYnnE0XpDXZuA6GrxS4ZuvMorFIj74wQ/iM5/5TMUtZyoWi/jkJz+Jf/3Xf0Uxc1FzHeXEyyu79IkNlqW8vmv5MvFnhjXGAuE165vUeHZfaZz8p8TR+LLkM5K3RMaXvD0A/I0A0wokCMcqrk/6d+CuLWhtkgNmdeGee+7Jm4TB4mBjTG4WmDy/2n0AjMmx/AFj0aJFVeO2HMMh05sxpjnxGZpkhAYoFoH2rgzGWgbMntCAXiFSYV6QYaYkGLLV025IxQOYfbaeBApTzDQwaGFaHlp8OZAG5ShCNUAKPykpzmpuqs4DwOKBBx7AUUcdhRdeeCFvUjy8/PLLOProo6vdvawmMG91l99HrIFMU/40oc1zUxXvgFI/0uIH6akPDmgnbM4vUtGgzPS+Ly+kWH4xY4jGn5wQrwnWdA2UY9E2MCIt5SV/Byusut9REFoUYezVIWfxmcxEhHuVFHFscJHe2/zlkgSXJ9clwfpt1aWsGmPwjW98A+985zsrZmPArVu34u1vfzuuuOKKijNM7OjY0Naj9AF6togZMz2vJeOHZRlsJc8AFNkHpQkRjiP5vfSK8soS98xHZDLefJDqOG5UzgaATq5v2sDcDtazVOlbTQ0JDtutuvcBqGI5rRE5ToTn+dUenmPZg0K1z/4DwBt3a+5bsQXQ0RN5USYkCTBlNG2/7chJSOAzfgLLsPmIPzm77lmtuUC6l4KkDZOGBDnIZeXFz7GxKMhb+Q08mozzCsh7ucZQ8Oqrr+KYY47B3Llz8yYFAHDvvffi6KOPxrx58/ImpQ4Aa+xeJFpfynruK0y6z1sPGy+uMAxkLROIubPadwEdJs4P2Ligzb5pSjwQGnStATQGKeTa+MaIzfsiRg6tbYylP33phHPi0VaJTigvrUIJSgZd3ucBIkmsLTiebBdOJ8cEg3CpmRYHBlu2V6fCesstt+BNb3oTli5dmisdixcvxjHHHIM777wzVzrq0LGlnb5vd1yxCftcX33QxtFm2GX6rKVabIB19xQn8yQC4/9xWWyksPSo40dY97w9ALZ19KBkgLXjT+K3ERBpG4Mja2AfgCo2HOa2DCDPr7bq1v/XggHg9TObsyOk/GF7zrP/Y5oTcaIejRiuowtmFlh+jT8AyIHHCMZv4zi3MRHGx4HF4mrQBrosxSQm5GpI1z5XywaAMWzatAlnnnkmLr30UnR15ePN0NPTg29/+9s47bTTsG7dulxoqCNEe5dBN+/ED8SFTU1Zts9aH9f4gSckyaspuX9rs05sBJB5cVx+F9uoUNLA4Fk1GTeYTYOiuKaQbvIxPsd5R9uYBGhHm1Ha2/jt6cpRjB52bwdbB14SwERIDwuDuMGW6xTzIolduS5p2q1VzHuffPJJHHjggfjqV79a9v1Y2tra8KUvfQkHHXQQnn322bKWXUf/4X3fTscUxtIoj0LY79S4ZDy08bQ4XLY0QgKCDwg+I08wkMpwjGfHvAmIT+VtAGjbbmnh8SdteM1TjY2upvr3AVi8eDEWLlyYNxmDRd0AUA2odgPAqKYE+05tyo6U8oW2nA0AY5sL4YyPJ/iRZCcNAkEcG5UtoaCZOkqXpZjbqLxZjBzYrOBpKL4mZMYGQk1I57iarGmqdxaK0d3djYsuugj7778/brzxxrKWfeutt+LAAw/EhRdeiM7Oyj3Te0fF1g4SwrLW2mvCoNanYs884wyEM+Sw74USz4KmFU7lkh37Xm6IZaEJntFlBiK+ZhzRrvJem92OKfpSsZY8yiM/CfN0M3VQEgre7PFJpb0D+hKRt/HfxxT+ohJHg1H+UmzZXr0GAADYvHkzLr74Yuyzzz74+c9/PuIzacYY/OQnP8E+++yDL3/5y9i6deuIllfH0LClnQ0AptQnYwZZyRe0cH5mZV4zLjrZx/Jz4uuOV5FCzwbVhJ7ZS4CvzGO1vxiftR5jxmD8qCzmMfJo6yyWPLcAGofge1AF6A3ba5cWTByT70aGQ8Vf//rXvEkYLHYsA4AxJkGVLQFYvXp11bsEHzK9qZ/nlZqK8ADwLbjp1Srglrt576Wkqkm76TMfQcMDmvQGAHzhW24whVKWDtoMvhRANaE8C32ML9XuAcB45ZVXcN555+GYY47Bgw8+OKJlPf7443jzm9+Ms88+u+r7dy1jy/Z0GYAV9txGmQgFQgs5SyVngyHeJeJZKsRaOk1ZsustpbKrCZ2OTuMbFiT6OqEgJlz3RWtfxhTNiCCNoDbcm3E3obFS8lUbj4VVKaBbN1bOIGgrysMhCel35VreT/TE+LIRcSh7+77aDQAWS5cuxQUXXIAjjjgCN91007B7BLS1teHGG2/EYYcdhg9+8INYvnz5sOZfx8hgy/YefxmPSa+MoG+YEk/gPuT1UePfBgZDGT9M5nkKeYq+yFdDzBgrvQQ8+U/cp3mMy/sUgA4Tr6dtD29zxvRdygcLCXDkHtW9D8AjjzySNwmDxRxjzPg8Cs7LA2A3AJNyKntQqPbZfwA4dHqTIjhaRZoFqiT3DQDHttDsv9DdPRfV2Iw8c0MesOzu1N4gIYROO4AF592ilCgQGiMCOQ+AWa6+3sCCcLCMGQ3Sq5shHSSSrE1ycsKDDz6IY489FqeffjquvvpqrFmzZljyXb9+Pa655hqcddZZOOqoo3DvvfcOS751jBy2doL6AwluUoiTM0jajFLsWVN4tfiBICvzMGFcVrTtc7CpZ5rGCbKJ/166y/e1dEB2aa2Py7BY3eRMnhSyOW2W0N6fNnb8nhV8isRLAixvty6vbh0sj2emlAcfF6m5EMuymGbtSC3UjgHA4sknn8S5556LKVOm4Nxzz8X111+PTZs2DSqvDRs24Nprr8U555yDqVOn4rzzzsMzzzwzzBTXEUNDw9AV0y3txXS2mzqv63+KQiz5H1CSpwCo/AHwDYbaJIoGjd/0l7dLHiDltGA5gXgGHP/MewnANjsBJNvD8tJgLBBxigav36O6lwFUsQEgAXBEHgU35lEo6u7/ueCwGXb9f4QR0wxJe1e+Qs2Y5kK4hpOFvgQ6c+NZHk4nhbkEpZk6mViuJ+UHdiNLlII95sv5JCS0E/EJpS9SmPVyMFROhmV7qB4Ac+bMwcsvv4zu7so6TtAYg7lz52Lu3Ln4yEc+gmOPPRbnnHMOzj77bOy+++79zue1117Drbfeiptuugn3339/xdWzjmxsae8B0OTP/IMUfwMgMSnPSEr9lL0ARJ9xy380HgOEfEUTILPex/KysEI102XvrRAqd2/26g9Rf1tWUqqbNrul8i+U0kho44Skma99zUShj3g2L+a1GkGcvmj841+992mdE5Tq7+5FGm0wMab3d3CGAz9arRkALLZt24abbroJN910E5qbm3Hcccdhzpw5mDlzJmbMmIGZM2di5syZmDJlCtasWYNly5Zh+fLl7vriiy/ir3/9a257utQBHHHEEUNWjLZsN75REijxIe6njlehpDAXhKwj+ZSFprS6Zypbek9piBkxGVKG5HTMl7Ulo9LokQDjWvKdQGnTjux2Y0n6LOsL/7naNwJ8+umnsX37drS2VmU9jgRwT7kLzcsAcHhO5Q4a1W4AaCwAB+zSqAilQkhMGWzeHgBjmpKQVs9yixJzY+OrIqBF83AKNqXxGL69kRlBhJHAnaU9WCMAv+cBTZ63zceT2brKwSqNumWIHgBz5sxBW1sblixZMqR8RhI9PT247777cN999+HCCy9Ea2srZsyY4f5mzpyJqVOnYu3atZ4gunz5crS3t+dNfh1DwJYOEryssu++f1Pqq4X02fY12S0lL9CUf83QCCV9X6wBkfcuf4OAXwU8z/jppZLP7vHMw7Jm+zXvCc3dVaaT9GntknUvobV/FqRnlGsLE/JHVzYbTKiNkJR+A7mpl9cO9B0xoaZ0P1Tvq2pAZ2cn/vznP1fzcVs7JE488cQhGwC2dhThedi4vZnSMN5czzuq0/LfxOcDRUMnrrD8A69fuXgxhd+gl99LD1BpmJRpIOLLd7zhLPMbNnoI5H0MoPMAkPXS6ifHmxTTJzRi5qRGLNtQnZMjXV1deOqpp3D00UfnTcpgkMs+AHUPgH5g8+bNeOqpp/ImY0jYf+cmtDQkJYXZWQVJCHQTGSZ3A8DYlkRn5nIs4LpISGFdCvRsPHCCMwTzNDoN3uyRjZMlBZMRgDNKaCAMjDEiC7v0wRNae4OG6gGw9957Y926dRVtAJDYvn07Fi5cWM27v9bRT2zZXowb5DxDpmAQrEAXEnEknRBaZR+Vgqss3uabZUTQEDNGyDxjPI/5EnsEeE3DgjW9sPG15QW2vgXiQ9LQwDyPoXkpuXfwhVLJY2OKv4zDRhcbVkT8N8gcG0T9vDJlBWI/RO9zrXoA1FH9OPjgg7Hzzjtj9erVg85jS3tR9BEh77ChEqA+ZagrJT5vdEYAIefZBMyHmA97xrrEX9KjGRNjxlBpLGDwElPJ0wEEvNkA4yvBANBfkV2VZ3ufj9yzFcser95NOR955JG6AWAAyOurrSoDwIMPPohisboH+cNnpLv/W6HJwoCEQjjmkLcBYEyTkCQDRm1CC64nIBo/jWYR1QRvCzmbxDTYNvMGQOgM2FMiFOk4Vr6NLmf4eEBM43d0G/QM8fPce++9MWvWrKFlUkcdI4StVsDhPUsspNJm4/GaU2fgIwHS9WOUwtQ+SrwmprxLl1iXHxRaFSTKvSbQMrRN9jwaRd20jRMh4kth3tsDRQj59spKdKA7G7+NXXpBt7xq7W3g76ki24X5v2aI4J+X6+yNCYlODxckvsGh8t466hgpzJo1C3vvvfeQ8uiRfQQgBVoxkkLjBTYP6rTMt739llDiG47nw+dd0rvAGhU4HuAbLjX5SkLyDc34qrCzcS05HwPYHy8kja9yeFL9xwFW8T4Auxljppa70LJ/tcaY6QCmlbvcoaDa3f8B4NDpzb7QCvhWUME/tnf3g6GMIMa2pNKcx7BYiCXGLusD6IIcMp4191J7rwl4bEhRlXhLOwvVYmB0QrVGqBxYrZBN1vW0iYbjxIa9994bs2fPHnI+ddQxEvAMklp/dH0xQ9kMhEkTxmMvArnTvL1a4x8LxlIJtsKpR4BSZlRxtnmExbsrzdwEdeU8VGUf8Gb8tbJtvSS90nPACt7yFIOsWfYYy8oS0qWCr9Es2ylQ+NMrSz5eG4tBkmc7ec8IR6dJx6o66qg8zJ49e8gGgLEthQwvHRP2rZicKQ2sAW8F8bXE7++cD2+Ayn3W8m+Np2awYF1+E2UCkSOYe//yXgLQ1lkM219DzDCaXg+ZXT8JIEeU3Qsgj6/28BzKHBL+9re/5U3CkJAAOGRaU3ym2oR/6qYiZcSYZvlpkjQsBXk5O+WszUoWfG8Q3dnZm81zs3wircZMmT7NEi1pcemlpEtKhjcrJ4RqYzC6eegCaN0AUEclw+MHcrM3IFSUGTGex+m8dyZ8z4JmgYyTLHx6DNboM982f0DsSC/KzqqPFGYDQVvUT6u7nTHjmTOZH4fFhgO3HpjpUCIHRoCMtvG8DiJ0aPXkeGredC+Nt5bPWw8D6fXBBiZBR947gNdRh4ZCoYCZM2cO2QDgvu+YopwlB/GV9zTiOJr8JY2pzgAH4psm7KdsvPXyMfBkOgPdY0CWz3RqfBEACvnzAOcBwPWTfDvGI2n8mDK2AbtMyGtl+NCxYMECrF+/Pm8yBosdwgBQVe7/xhg8+eSTeZMxJOw9pTGcpYi5P6UYjlnloWBMs7AUe8q3EQJy0ocAaGgQoWBrabZluPxBQjJ0RqoJiVIY9dIKBp2IvJi2YLbMCAOC7x3Q3AA0NwzeCNDS0oLZs2fXlwDUUbEY10LfvNc/Tdj3+qMA8rMBgnWkWWmkuyrzF5mBDbd02mNInaBm/P4euJrDf3a8RvIIIpZJ0LyUJH3aLLnjYZQnt5ONFzvaS87+a8svnJuvEOxtmkJGW3C45qIs6ZNGEv5OYvwb0L8nTp/kvwN4HXVomDZtGpqamrDPPvsMKZ9xrYVQaZfoj8FSTorwe82oqfJ0I64ib+elkyZy/Bq0TEvyJvh/lg+px0Bz8ZZv5W8A2MZ7QEk+JvkblHBq8wNnNqOa8eijj+ZNwmBR9qMA6x4AfWDRokXYuHFj3mQMCYdOT9f/e2fNK8IivW7PewlAszLD5gmFlsGXmLAHIzleTNqz2SWlQYQVC5smSa9eUnJTY2bL61Qt5NpVKXALodILtw/eIGife9tpKELotGnTUCgU6h4AdVQs3BrLQFFNdKGSBT8XV7wHaOmP7NsI881Sor31/oriymV4HZ6iy7iegErxY8qu5yEl6pDlWRDLT8ZhrwELybO8EwMS30DDxg7Na8AdvyUEcM/NmPKQ5WW9l94Yjt8a/1nWXX43knaTv/BfRx0a7Hi+yy67DCmfXgMA9RPAn0VXlEgvLhA3FAK6vBTjT1re/I6NqmpZFMj8ONhnAL6nV7CRoCmFJflvAug8djMnwiJh/C6pfgNAFS8D2L/cBdY9APrAE088kTcJQ8Zh1gCgnQHtMdcSI8x9E8AWos8ydiuAAr6QB3onvQMMJdYUb5mHTVPgTKwxQhM2ZT4sfGp5K5WVY0sR/iaERfFOlpcMTQgdP348ANQNAHVULMaNKvh9nmd8DPS+yLvZM2JKvhSepLCrvZPgmSdO6xRJ5icspAq+ZoVr+8C77NsbVoo9GkS4N/uuxJd59MWjNMOAljcL233ZJ21a6wHglZ34yrqkWY5r0qtLxvFop7hyDwMxBKgGXJP/BmB11KHBevTZ8X2w8GQLz+0+lZOcwRKhbOV4n2KctND4q7zP4rkM5kcufyrbO3WJn9Mwx4OorrbenhEXFcUD2juLXrUGDQMctGt9H4CcsKcxpqy7MJb1qzXGTAKweznLHCpqwQBw6IzmkJl5M1YpSBjK3QDQRG5n9lgW7ZxnFjpjMzWOsVO4UxpM6T1HkC6+clRK4Avl7nXi58nColMAJB2iLuxRwPES+OufKf3YIewDYAWESZMmYezYsYPOp446RgpjmxAqej0KD5NePIUSTwuMiVbJ5k3sLLhvSr6j9U+g1H9jwqyNLGfTJHtxrvA2XPAUyc+47obfUQTOX+7czQK6rLv84zTMMjXBH0p8W340DtWB6yXr4XlGcFhGes0wwB4HWScaZBgzxrYOnvfWUcdIwRr0J0yYMKR8ejcBTEr9BCjdWx7qbcwXkS9lf2fvgZghNhHXLP5ir8E7kg+zjIIebzG+zKYZUJ2XqcHYnD0Aigbo7pEVz0AGy5ozvRkNVWzTfOSRR2A0I3flowBgaOt1BlFgOXF4mcsbMqrdALDrhAZMGRXp7ZpBIEXeewA4hdYK4H0Jm064hD8AJEoc7b0n+NGV1+zasED4FRnbNAExghZWVpwVXVrKjf/MyghlPZQlADxDUN8HoI5KxLgWxQOgIVGU16Sk1HO4t54cYbhJ710/E/1WhklluD8oppE1Q2Ui6yKlYihKuIl7RPFJBcFSA/i8S5uBY8E7MDTQO+utxHXR+Cun9ZZXKWWrQjzCJpH81ytXFCyNPDGjQOxq7yXtyH/2r446NAyfB4DlH0JhljIL4PermMeOSy+Ms4DPHyQPYJFKkYE0lhmk57iSdo4XyJZ2TBHlxsaLHNA4kH2gMshtaUyw9y7Vuwxg9erVWLx4cd5kDBZlXQZQNwBkwBhT9QaAw6Y3hUxOY3riXVvOewCMkTPaPCsFugZMHSFz1gwFQRopIKI0wAVCYfovmEkSmXqzVPZ9QjQnQqDUfpeEaIEv9FL9hiKE1g0AdVQ6xrXY2VmUvn25qRPP5lrF3hoDnMAHX3EGwhnpBCXXVlAYz5xLvmOvWbymoMQBUgOnrAtKdYl5FRj4hg2uR4Fo5UJtvs7zgSRa9h5QvRSkQK+0g8ZfGbJNs97H8pB8XcbR+DlQqhsglBaEM5xQ4oHiEep7ANRRibAeAMOyBIB5q4XjDSQLaV42jJixjmfctY2Z7ZVlIaZDzrf0xSMkPbE4cmxg/u+8hoCugcy+jwDkcDVU1PcByA01bQA4oMzlDQkrVqzA6tWr8yZjSDh0epPC5DKYc/oudw+AJjFrJe8tPIashGsCuwaOx4K5ZmkupO8ghEEWnLNodmtNlTb2ZvWU8mWy9P1weQDsvvvug86njjpGCmOsBwDPTGuwhoGYwip3mtfc/6XwqM46QxEWxb2ksQh9diuh95LeGK92aUx4RJ2954guL0WbdsI3GU0CQT5lRiyUy99Cm+3nOvS5PALhe035j3kkaHlafm4NIt6sowmNSJyHptgE9BqMrxsA6qhA2LG8tbUVTU1Ng85nPB8DGFuaI8O0zTnls7Zchz105IkjEPes+GvhQGgUyMrL0SDphIKE6Ac6c5aXmxqYz9NfFjLiHDizvg9ATqhpA8C+ZS5vSKj22X8AOGDnwZ3p2Zb3HgB2RpsFdI9xa4MP4sy9L6avgWfdtYFEZhBTCBJ64PVo7A1gKBEfnVVUCOfy0/uxQ/AA4DWCRx999KDzqaOOkcCY5qR3olsKN7HN4tQZbBJMvTWeduaX05BgmqB3rwE2yvEJKk6BRIlXML+Rin5sqiam6GoKL0Q486aAnxidLheXMpez5TClOtowQ++cd4X48zYvREmQ12YP+T7Gj7Nm6fozTNnf1l41hYC/E+klIBUUsQ56j8kN/SCijjrKh4kTJ+KQQw5xz0PxAthjaipDah47iIVJXhJ55/ZRkpMpbGwk3mLpYJnM/VEfl6eVSFqjvAbhRJI2CSRc/rtyXgLgu//3gxbbVmobGRy0a90DICfUDQCVgmo3ADQ3JNhtYuPABSYAPXI2qsxo1WQqbeBw7yLxGFkzVfaqCeJZg4W9cp52zwIpWIIGMDtgOYFaicNHnBlNii8Vuuv4wQuhPDtw6qmnIslaIlJHHWXGrpaHyRl2OZtu5LO4Mlx3IsMAwy03ACmx1iggZsq5D4PubRAbL7VjqDQln3kVu5fGFGf2IpBxWAGXhkxWiD1DQiodcnobx+Vny00oTnofO4IxZF1hnYPwBOpvyJCeWK5+yp9Wpibkax4VfFQhABQN9t158LOrddQxEjjxxBPR0FCSCQqFwYn6O41pwJQxaT5ZclBfMlIsvif7UFjgSckTI/C9vDi+4bgQBlqRZ4xm3hg2Kx6hs7vvOCOJpgZQHdMKW0MIL4dyPI3GNzluIsGuOzVhbBV7Nj3++OPo7s75Rxkc5hhjymZRLtsvbIyZCGDncpU3HKh2A8A+UxrRkEhGml77YGrNOU9qdHqzbiSka4ODjSMHkQTh4GCvMeUgahVFfKZN18lJ6KerFzcppWEapWGAiSQmzYXvO3Vwnh4AsH37dne/6667Ys6cOYPOq446hhvu2w4U2/Q+a6ZH8juevZeCKPc55h99nTXPApbmPs/HEbLBQDO0ecKtradi7Iwp11pbsBeVPNFA5guQccWE/NCk/zz+Z8hQkBJnPR2sAO4MAiSEOkHb+MJplnLAdPKz9C7Q+LGWB/N1OT7I700+p/mPay1g+oS6F0AdlYNTTz3Ve25vbx9UPvvuIoxbCXwjo+Q5Wh+x9331SQ3SC4A9BrLyYX5bpHt+ryrGKMXlZznDL3hG3nsANNq9YNjLSXpJyDj23l1LP2ohAQ6cUb1eAG1tbXj++efzJmMwaEEZT8orp4mnqmb/AeDJJ5/Mm4QhYc7khtC1CogLiiQANw1kR9ERQEd3hGnbMCkcaudHS2FcE9y1tpECoKKH+zNiFL9IzzINx7f0yTJjSkEi46eBabo5w2QAAELhoY468sQcKYTaPiX7jzW0SYGU+6OFdqSoi5+I/q/wCdA7C96Qj42X3jImEmSdgUHkpfE8rktfkPzHPvMRojFIRZfrosVj2m29rHLv2tKU+J70mJBeByycgsK5XO335Pfa1csvkoaFYc24xIYMoQDUvQDqqCTIMVyO8f3FvtPS71o76UPrW5rxTPJlI+7VPir6PMPyUZbvpJynLd/J8jByZRmd/zrPH05Xus3dANBgZWJZSdEOljer7ZN4Xm31jQBzQ9mWAZTTAFBV04pr167FkiVL8iZjSJizM20AGFujZOidFdCQvwdARw98gUsK5NpZ0porGENadT23sj4YuOZJYO/lejNN6ed3LDxLQTo4aiYp0V2gNJamFPtOGT4DwGmnnTbovOqoY7ix79SmsE/FjGX2XRA3veerEVcXX/ZB9G0UZD7qFF4hnAaGhfTa7/1NKJ5UguV9zMAbU34tsvKVxk5+L40YnIFsOzYGSFokjd5SAubtKLWHFPKLXJhIpykosvxY/WJDhFGMVHXUkRN233137L333u65p6dn0O7Qc+RxcN6JJQh5RZaRUfZvjU+7ckSf9mQ/zo94bsCTBe9gd3iIcMuLCoIn8XIvpk3wiLw3AWy07R5sZps+e15o8NvBjl2eTGpwQN0AkBfKtll+3QMggmqf/QdSDwCD3s7PZ1w74YkYAgAWqCrCA0AT3C14Zo3vQfGZ4fNMFBDuNsv52msw+6YIrC5vpRIxKzczWij33jreNLFTFkQeKSaNKmDqmMF1Z+ke+OY3v3lIuwbXUcdwYs7OjaHbopzl5r4uBUGG1hdlXKmsZih+7sqzxk6JTCN4M1VAVFnmo+ikN4CcaY/xvqJogyya+6qfTMdLmIK69pHW3ngGXRPuuO3KUvi/zAdpO7mxjdrMWwNs+bPlpSYcA0HlSHpsvWNG3qTuAVBH5UAa8Afr/g+kHgC279jlPbzUJ30VyCcsswCKrAldPvJkVCDKV2R4wCuU8iQtFryvh1x2muX5RXG6cj42220CqBm0gXQjW4hxU/BY/hGS6j8JoEqXAAB1D4D8Ue3r/xsKwJ6TGkrMUM4se8ps4nsBoHcDwTzhlgDEBHQLy9Ck5daGsSBow53QSExeWyrBbcT59+UtYOMwow3eIzI4KfE0oV0K7gkwZ+rghFDpATB27Nj6aQB1VAzmWOVK6yeWr3Fft8JnbBYcCI0FgNqnMvujjSMFWRkmjZHMj1y+EeEz5tHUXyMB86GgTEmfDeN7UVd7jdVV49fICNMMu0Ea+j01N1e50ZUzEDCtlC8bWjzXYYjfRgjVbHx19e0VrOseAHVUCobL/R+w37Xoc7YPSpnJCGbhZDMKtv1I4y9pMtVIK/9sXPte8moj0mYacrkOCOVBWUfFs7Qz5yUATdJjV2tXNg5oYxS3bxGYOKqAmZMG71maN1544QWY/sjqlYeaNADUPQDKiD0nNfbO4jPD5DWoAEobqZiSS6YBgCT3JQDbYy5VmkAO6EsF3KZc6FvQ5I1ivGOvTPjsyhPtGcs7y1U58DSQz1QfOZBxMUUMeiNAbYagvg9AHZWA8a0F7Dy6ECrAdgaqkAjFloQ3qagB1H8SX661s9GxWV6GNisdE1i1d5xWCrSq8Mu8hsLkOk47261tWiiNC/Y+oXSx2XCtHvK9rAMrzQOxJXs6BCkRqqIhhfEke6Mrrx70jXgzYbYtBDFyDHH17Q2cU/cAqKMCUCgUcNJJJ3lhg/UAKCTAPu679jpm77PHD6hzqbJVUormlFHRP4P39C5mjJXp5L18r/FiDZqBWH3urW/uewCwh28W5LiTiDCOh+r2Ati0aRNWrFiRNxmDwf7GmLLMwJbFAGCMKaDKDADV7gEwZ2pjtuDlKbBpGAmauS8B6DHZDM0T7sU7TViTArkMYzdSKdjbwcqbgbPXpGQ0kLNMWQjcVcWzrA/XRV5TGucMch+ANWvWBGF1A0AdlYA5Ozf2dgc7s+spa0lJeeV133wOPStq3L9tx5E7RDMv1KAp/TEFWXvWBFF+lkq1Jpy59wqN2jpXIPRgcrNcFOaU58Q3GjCdtgyun21TjW9m8WEJKcTz2MTlOTo4ECWatXb2WKr9lqgMya7t9+UZCSKDTgLsMbkx9zGzjjqOOOII7LTTTl7YYJWgWTs1orVJ8kX7LzJD7mDCfq7yS+P3LduHtaVMqlwWIV4ehyoNkzaMaZP8h9N5PCWU8zorZQmAhOS3kswi/E0axfsDZ1a3YfOFF17Im4TBYDyA6eUoqFweADMBjCpTWUPG5s2bsWDBgrzJGBLmTGmMM0eLDIE1bw+Ajm7oM/cBTBgnS8iUcDNVGQncAGDEM/zjssBxxIBm73nwkLuCxzwKsmgjGge7EeCiRYuCsKOOOgoTJ04cVH511DFc2HdqE3kqQSiGJA1ahc2CFX7pDu9tMCVmTtgQp8W3kAp4Bi+NCrH8XkxkB2n7Elw1r6GYEVLbARroXSfK/EgaAmJtEdsDRerLMX5uRFzAF9g1/q7dx+J5Gwkq9Hjfiri6RImfVpTR2JDgsF2re9OsOqofmuFeG9/7gyN3b/W/dV5DLmfIA5mLNGeNVxvoyza94/2UMqD0ZYhnjZ/yUcwyfgxsRJCGWZdH70NXT0Y+ZYDbBFAzYIDCNF7L78X4dMCM6vUAAKrWAACUaRlAuQwAVbX+/6mnnsqbhCFjPzYAcKePCUmCGTRJ5lxmdHQV4woxK9faaQCALzjKAQEIGSXoWRNGXbqEBEeEA4OheFLZ146zii4PyKh3JN6h0wdnrd2wYQO2bNnihRUKBZx44omDyq+OOoYLh0ynk0xiSrYmyLFRDvD7WSHtuB5fIMVX7hdiZ308vgOf9/AMuMs3jZ/lNSAh6yL5FOevCb+ewEfCclCnxK+rLYvbyS0pEPX3jJUovdeMA9rmjEwPL9Hqa/ZNItYG/KxB5qt+X5ZfKz9AQj82tfGJ+7RGCqyjjvJAMwAsXrx4UHmdOCf9nmV/5G6haRCyT8nJEfbmskhsf4IfZiiuzcd1P3qXxSeYX/IpBVpcng2XdcuQ+fJeAtDrfWTbj8esNEJs7JTPNn1ar70Gua9UpaBuAMhGuQwAVeX+/8wzz+RNwpCQANhrpwY/wDItaQHV7lEBHgA9KAmpVliX7ro8eyeNBUWOj76Vh5jLr43Dg5gnPNJ7r52lYI2S4M3uttKYYbjeGi2inhR390mNmD1x4D+cMUYVEt7ylrcMOK866hhOnLh3P5Qq15dNqf9wuBMWKR6oL3p935QU44KdjUpCPuFczSlt4DKfhMcrsRAr66Dx46KIF7PLxoydWrmWbqt8q8owC+tED58VzR4CsSNVJR9zHlMaD1fqwleGjBuru4Rsjxi8MUWmoXCruBQNTppTNwDUkR8mTJiAY445JggfrAfASfuN7r2RPItnxmOKtEVgFKV0nN4Qk2R+7m3Uacvnzp+UjJSMLMVXo4ey65U1RRy5pEDwn9yPAXRiX0q04Wd5b8c/KO8ICTCqKcG0CdW9EWCVoqYMAFXlATBv3ry8SRgSdpvYgFFN1Lvl7sUWmqCYxqmIUwDcWjBS5IFQWGTFGxQOIZDK87Y5btaafS63KMIstJ1ttXvpZgqKYwVy7yxXUkjsYChdeNNrkgAn7jU4ly1NSDj//PMxbty4QeVXRx1DxfjWAg7ftblvBTCYkTF6XCjxtHegfsjPDolvVJDeAa4MJfOYPCahsSNtyYFUlu29FLwlb5JxZb6AvycAGzb5BBX7Xh65yvRqJxZ4/E+0n/Y7ch2Cs66VOmntLO+1574Q5F2qx5v2aq3vA1BHbvinf/onNDeHy1AGYwCYPqEB+00Tp69IfsKQMhmgK80xGdTu5yH5Ee8H4JVHPNnxD1ZsTUi3x39NKINpvEAaYCVvSp/z9gBodB67msVFVi5mGRWv0jruOcjNpSsBzz//POonAcRR9wBQUO0GAG8zOMmwpYWT49H7pnKeD6Fge7ehGTjAWYjlkU+eEJ+UwnsTlS6OHyphrAxognKR4mgzTH0J8DH+w7NRMo7mhgwoyo3xZt5O3HNwBgDNA2D8+PG44IILBpVfHXUMFcfv2YJG2cfk+fBS8IwJp33BwJ9piuXBvILTMU0sgNIMcbSvcxmG4rr4aQJeq850OlqEYuzVjZ5js2XyWTs5wNJjUKKTeVVsfwEbJj0xNCOBDeclCnLfBo93Gr8O2nfA9Npn2S5A2BbyXcb7MU0Jjtytvg9AHeVHQ0MDPvGJT6jvBrME4M37plt2abqj5D/eO4SbyqnGTIpr4zhlO4lMtFBmjg8SLZD8WxDoJnkkP0vDeHLGPtu4LCcC/v4FCXI/BtD3ANDuZd0Tqh/9GU7bm2aPKdW7DGD9+vXqJtdVgJoyAFSVB8D8+fPzJmFIUDcAlEJRMGuWPqcbveTuAdBjSsfHqIKwFCQBwIQz+W7W3AXQSxMGZRlSg82i4HsgeBZppVKawq8JqloaFrSDGbBSeYM1ALzyyitq+L/927+hoSHn9SB17JDw1lS7viOEPFbotHBOK+NISEVXM/BxeClh6cIKqTfznUb1lGrje/0wf/D4tcxHma2BiNdfRTZmqJRtJGXFGM+UpxBIN3r+DT2aFIJjSwmckURpZ88YgbAdNMNBrD08WvoXXt8HoI48cM4552C33XYLwnt6erBw4cIB53finFH+Eko2SloPKJi4AY35hHq8appfAT7/QFpWAZGlBkL2sfIhIORATmfEPTFxZ5hNFL4k4jCfd3JXb1hXN3KF8wCIypI8LmQxPBlusEd9H4A8MM0YM3GkCxlxA4AxpgXA7iNdznChvb0dS5YsyZuMIcF5AEihN+bOBPR+CRQ3900ALUO1s9/Mt2MzXQAJ0sZn/rxml/O0Lmb2nedVkDYQK/QsgEuh2MWJzCTKwawvwVN7L/MTVvbZExuw504Dd9l69NFH1fC99toLZ5555oDzq6OOoeLEvVriyjrgC46s7MU2epKCJuD3SU6jKboQ4bE+KdMFim8aISjbwNvzRAq8nKGaFiVl2PFAIfxKAwFfpYGyIOLIdmDItHLs8eIpGWr8070zoWEhy4jAPJzbgj01jMhD/l6s8HAaZFwBnLhP1Rx2VEcN4cILL1TDn332WbS3tw84vxPntMb7B1D65uU+S6qBFMoy1DSBtjxV8h9ZrpEBEsRbLT12KWnCDAo+n5Qenm4PApTSus0Kickbk/sSALf0SDPMQgnzxhctUak+ew7ydKlKQZUaAIAyeM6XwwNgb8Tt6hWHBQsWVOuaEYd9Jzf6DBAIhRiI99ZKmz7nvgkgn6sqhXMJydQC4dOUBjMX1/jP9r237IAjgARoMVhoA4cGKWxr72IYwCd54p4Dd0N94okn0NOjn2UTEy7qqGOkMGlUIT3VwoQzy84FnRLE7u0MlOQNUlHnmSpN2WNE+Yx8b3lM4j/zvZc4EXU0YTrpxm4L42MLXT5SGk9K7zS3eZtf1lghxxWur6hKEF8aB2L588y+Zgzgcm2Yp6wkZAhJwrK8e25nhIYGTiPHDiDg48fs0ZK791wdOxaOPPJIdfM/AHjooYcGnN+ukxqx98521peVXZJ/bIfg3fslX5ETJ64PxeQjwZPkUoIY77FX5h+gNGxk4L5uy+D8guVX9oXCRwDHdzq7I3UqExrtBJ5aZ7q3V49FRZkjAGD3Kl4CAFS1AWDWSBdQDgNAVa3/r3b3/ymjCxjbzEordAYg3wuhN28hpkNjqBrjt/fa7B6/d7NDoDqLyIVEbPyV+OltGhay2ZvAzlS5OEYMImKA8/I2Ybj3bPxw7Zr+DWYjwLa2Njz99NPquxNOOAGHH374gPOso47B4oS9WlAosAJIymuwszwQFypLSTMNc54AKd7JuAyN78gw65XkpRM8mgVj7uuswwc8Io0geYEnCIvKyJk6KaRb3iU3TNXaJSaUc5xYei2eFFA9N3+izcLN7KHUNnJDQubRcjMxN8NHvNzmwXGYzgTpJogIjSQGGNWc4I17VPfZ2XVUF7IM9A8//PCA8ztxzqiS/GIvlte4b56ZpTL7LJ9ZzvF4Ovx+F0xYGa8In1cbXb7lezF8BDRpxgWVl2kMz7hlqhXhASDHIO0ULK2tGAqfHtVcPwkgJ9SEAaCq1v9X+waAu/X3GLiYYJsyxeac+3uHtqZKCn8c1h/+GwhthiylxhcQ7QDIs/t20HFrTskq7AZIUv65HB5Ag0k5UnTEmOpoG4ATzYmDFECzhIVPfvKTg8qzjjoGgxP3bi0JjIEiC7iOEiiZJuQNfM+eP1KBk11MCohBv4yU0Z/3gdcQ0yjok/kkIr1UjA1CfuL2UyEBnDdL5f1FnJJLmXozeBQm21rbpyQLsl2z+HqmJ4TNS7SLvbLSENBgfB7MaRm8XIy/HSFgn33I6Fht66hjWDFz5ky8+93vjr4fjAfAOYeJ75eXLjnvKmJScsZdGg4s/3bGNs6D8g8U+gy5p4jwneSf2r2MKxHwFBPOpnMd0zjbcz4GMNimyY4Bnnyago0hfcnPaXg1LwOoGwDiKIcBYK8ylDFsqHYDwOwJw+C7b/LfA2B7txDw5L0mbMt7GScm4Gvv3PtEoYOZKVutrVJiKK1CGLv28swT71/glUecOkuITTFjXEPqPj0wZAkL559/PqZPnz7gPOuoYzA4Y06r0s9JieV+kaT3MUFPKtsch/uSdQeViqYXHz5dCcITVYrivVSeNcU1Rp+8t/lz3by1/cSDgh35ZftZGhNRb+I1RZE/v+c2tPdudpwq1JcxwLahVldtDOB0sfZ1bYPS7+8J9ab0+0oBmduUvQOssdalp3zpGzv/iDFoyPkUnTp2DHzsYx9DY6OunG3cuHHA8uxOYwp420Gj/X7njHqgPoBQdmF4CqecFLHpEgrzEtuEpbw8HimYgTRKchTPUGjCfbA4neTHjqchmz8DWL1ZXz5ZLjS6TRONx4t8I7EptYs2jlnI8Qmo6o0AV61ahXXr1uVNxmAwe6QLKMcwtWsZyhg2VPsSgKgBoA8ZTKIp5z0AtlmLKrt4ZgmHcjZPC+tPuAzTyvUGJuMFeZloLmoslLo6sJEhFTq9Y6/gW3OhDMBC2H/foQOfhcoyADQ1NeFf/uVfBpxnHXUMFG+Y3Yx9pjSWvnsL7qOJDYDfP7kfSOEH4h2fMmIVZ55ZSuS9LYuVRaQbqBqdBwX9X+YFnR8xsmyxMcMl4AvhrnzBr4rwhWS5Zl6eLy3bUeXJQplmbwItviJwuudY3WWbyntblwRhuwP+d2SXmkh3f0s/5yeXoCjH0u4yrgGnzqlvBljHyGL06NH48Ic/HH3/0EMPYaD7Wb37dWPR3Jj4hk1pYNOWB0lNwogHNpS5PGXHZ+MkMU+5z4B0PfLkKeL7Nq3jr5SPVPg1w4BUijOMACs353sMQEtjIaQ34GEJgrGG+SOPR5yuCOxZxQYAAHjxxRfzJmEwqAkPgKoxABhjasMDQBOoVEExPjjkvQfAyi2pRVVzxQwYsRG79yMUTlkIlO1j32VZh2V53jMUZivSclkcJo8Ks4OfVXB4tsoJ4FyZJKwHDP7usFEYqBPHggULMo8M+pd/+ReMGlUXbOsYWbz/iDG9NwahsKnNJjvlnfqHVWxdnwE8QShQXmmWyl7cbHp674RLodAWUTLaZQnDsp+qBkf4QpmWXsYH/Pxi8TWaAqFRJCaeUoqXtkWB25Hbh9ORpu15WxDPC+gwevvwe+bjsXjsrq/xfa6znB1j8L4IKj0gw1Pv5f1HjokQVUcdw4MPfOADmDRpUvT9HXfcMeA83/+GsREF0YT9TZOvAH9jPa0/MVyfM4LXJyX+4a4kF3kEKnnyO4+vcRyFIWh10uRD0QYrN+XrATB5TAGecZblRwaPL4D/nhV/y9PS+HtMrt4lAEDVLgOoCQPAzDKUMSxYu3YtNm7cmDcZQ8LsCQ2hxRbQhR9NuU7RmrMBYMWWlNtq7qeeV4AVJBO/PqxYa0KgffY2ShFCb18zcxxXC0fknZt15DKVQcgbcOkHdYI1ReQ6IsGM8Q04eYCbARpjcPPNN0ffT5kyBR/4wAcGlGcddQwEjQXgPYeNDmdrvb4gjF4Jwv5aoLgMw4nsvVBGbZgTgojHsOBoDQQ8w6QqpjL/FPKoOY6eiHutvlDSAX57SGQpzdEZJJTqx+/tkqVAoEwo3Pg0WqHUWid5iUVC6Vl4lcJqsAmkCeN46cQfl8fxJLQ8ZXkchlIdzj54NMa25DuG1lG7aG5uztz8zxiDW265ZUB57jGlEcfu1arzm4Lo+0GBIr4MC+Qu9G2UY4XUbaRKPJgNvyy/eXJR+me9CBIq1PIwzTNA6+NafdP4K/I2AIwVZ7Y62q3MyHyRx6+k1EZFI9LA1W/3ydXtAVClBoDpxpgRbfgRNQAYY0YDiJsoKwzVPvvfWACmjxW++8xMFf4Yw+TR+S5iXLm1Bz09kpmlCNbWp2CDgDerboipK4KlvefNomLQhEn5zpYbzYMEZ5le0hOz1nJ8+xvzAGiA9x0+8GUAfQkNl1xyCaZOnTrgfOuooz84Y79RmDKq4M+28Gdv1zki8p6fDT3EBExDz7JT2lNBWBBVjQrGD7L5uRlonilnJGFa8RpAOPOUJZjKtJYee43N3skw907U3zWTtNAIAi2/TSDaLTXUWmHTeREYZYbd8nlT+n1svt7a/aREQrDBoVJ3We9Y3WW4NMpwuGjX0c0Jzjmk7gVQx8jgs5/9LPbZZ5/o+8ceewzLli0bUJ5/f9Q4f1LEwvJIjfeoPAN+H5G2Vqv8i6OnQwMpfJ4j+bln6EyIx8CX/+SGqDYfb9KIJ1cQN3ho8l+S/xKAyWOUXQADnsdEaz8oydUe3zUY1QxMH479xXJClRoAEozwBPpIa3lVM/sPVL8BYOb4ht7Nh5hRegKronh6s94lZjB1TL4GgKIBVm9LJV8WQPlqYZQwfqelkUdF2at3L8sQcZg2ec9pmA4tTVT4NHp6G5CIF2JgeucBrRjdNLBZqAcffBCrV6+Ovp88eTIuu+yyAeVZRx39xftelxqtvBkdhMKMFSQtZD+S8o1UEFnu49lqFjBjfCYmCGvhXA82RvJstly+5MpS6JdhqtCsxNPo648CrL1j+llINwjrx/zXEypRUuYDRUH87uD3CtEBH4ffNvIYxtiGZZKvx/i5ZziiP45XBN7/+roBoI7hx3777YfPfe5zmXGyPPlieP9RY8O+zvBOSTJh/wD0fqbJQXztz8Z8Lk8lD0uPvRpALskJlg84HqURZPwTUiQRHj8HOroM1m+LVaI8mDy6IeRBQMhLvWpJ+VK2ReK14x5TqtcLoEoNAMAILwOoGwAI1b4B4G4TGuALWMbv2K7Tc0cnjk0zVWOaE7Q0Dkx5HG4s551VNabPkGc3Zyxv8I6H8jYNi8we8ZIDmUbuEs7CoY1jw208OYj1NaunMnZOL5SatNyxTQnOPqA1I+MQPT09uPXWWzPjvP/978epp546oHzrqKMvjG8t4Kz9R5HSTEJcrI9IQUa+c3EorqbAyXTe7JIIKxqdHsdrKaEUmt2sf+KH8Sw2wwqtTrE36aaDKIVZJVx1yRe0a20jZ7ClUJ5lOIjN3sWg8UbXXOQhECvP8jsb3xvChGXVUHwuO9gcRYwdHDf2fXBcC9FmJ89pxfTx1TtrVkflIUkS/PCHP0RLS/byvoG6/x+5Wwv23aXJFuK/zFp6Y98z/ygRS/d0jU2aGOVZxtHeO3oEzU7OEjyfYd/LcUSWY+Vmy7tJ9luV8wkAQLoHABCeSCN5OYPHCvW0K5DMW90nASxbtgxbtmzJm4zBoKoNAFWzASBQ/R4As+wGgAWFqwbMVdEkSVlNjOl1xc0Ry+1GgDGB3ELOFoKeY0sFvOOdktKzd3a08cNc2gjB2gDDG0ixsN2XwBzUL6s8ElrFu/fLM337gf7MHvzgBz/A6NH1867rGD686+BRGNWclPqKx5tQCmMhzSqCnqKN8J55hxSSbJiMr+UnFWwXhzRtpt3r52nChONTXBYyAd9LycbzTgix/Am+EVAeZ5ilwNtnIt+ro8JTVB6s8SdZRiyMhU3PqEqKh+WhnIDr7S3vEu3jeSUQr5T18Yy7TGesckn8MQEKBvh/9c0A6xhGfPCDH8Txxx+fGefFF18c8K7nFxw9NuQ3MV6kyUyuf1FahuYNEDWiRuJwmBZfs+tJXhXIZyLMi0/8xyvXlwFXbsrX/X9sS6H35AaDbI1OG7tsu3l7sVgDK//2wJ5V7AEAAK+99lreJAwGVW0AqCoPgGo3AOzmNgCUzDa9ickxXnhp5mTKmP5O64wMlm8phgw+SwgFhSnydVSok67/9hqco50iEMxFHloZBRIsNfqkwB0bmPoSvjl9ApyyVwumjR1YN//jH//YJ7Pcc8898V//9V8DyreOOrLw/teNSWexSRGzSq82y+v1l0Tv8/Y+EfdyxjsG5jcGvvFA7YvGp8XLXxGC+Z0R9eM6W2XXc1NX+LPnkSQUZ4/Pwb+35WntEXvWZuZk3YI2oHcxYyizK960i9frunzFuObKNiVhll8EPNWU4nKensFZEkiZxDYLSw1Knzh+fO6edHXUBqZNm4ZvfOMbfcb70Y9+NKB8p45twD+8cRwZSFk2gs9/1f0BZP9UoL3L4rtSWZU8RcsnJlvF5EFrLEUkrlYWjwMp/1iZswfA5LGFUnvJ2X5D4UXxno3eludqxpU0fI/J1e3NtGTJkrxJGAxmj2TmI322Q9V4AHR3d+OVV17Jm4whYdb4gi+sAqHgC/FsACSG3pfuK8oDgBkUC+WgZ7f/AfQ2kG2hKQYM6e4VWJiFQC7TMYoizJh0AywqX4urDUBcv4TiK2NsYwJ84o1j8bk/bg5fRtDd3Y0f/vCHuOSSSzLjfepTn8KvfvUrPPnkk/3Ou446NBw+swkn7NkS8KBAeQYQ7ciyzxv4Ac4FX2TlZkBEn5N9zShhkjQjAyLkx4RfuUSBBW+vfgYwvS/bOw3mr+nCis092NZp0GMMeopJejXoMUBPEWjrNFi4vhuvrO3Gqq09mNhawE6jC2hqABoKCRoKQEOSXtP7xgIwrrWAXSc24MBpTThwWhMmtNC4EOO32r1mOLBh8ugwrS01I63Wph5fJx4OwHlQ8MaM1mhujSxFyqRIfNrybObjAQ+nbxHAjPEN+MBRY/Cjv21FHXUMBd/5zncwceLEzDhtbW245pprBpTvJ08aj1FNid5vYHzeE/BV6BMl/TFWct+UHpgGUOUol5bukz7ia7w2ZhBQy1LqTzx6Rc4eAJPHNCDKe6WRVpOdA35swvBi9Z8EUKUGgBH1ABhpA0DVeAAsWrQIXV1deZMxJOw2QWEEmnKsMTJvpqX3MiXnkwCWbykqM0sskNE7a+XMEq45rmRwmnEE8IXEIC8hXGrCv+YWZ2c4rXDJCjwLnLIcJfve31YMmpbYdAD46FGjcel9W7C5I6thfFx99dX4r//6LzQ1xZl+Q0MDfvzjH+MNb3gDenryXwdXR/Xic28ej8QJHiEvKinnxjcSuHhWIbZ9MQnTaR3f8RHFMODKo/6kKZkcXwpWgeCs5CHjmrQ+HpFAZ7fBvDXdeH5VF55f2YXnVvZeX1nXHT2ifiSw64SSMeCgac04cHoTDti5qXTsXUwYZf6stZMGmVef8Uixd+8yjAg2bUGmY8WEC7BpU4IMEWYNBIB3bNlnThqPnzy0FT357hNWRxXjrLPOwrvf/e4+491www0DOsp6wqgC/vX48aUA5kly0iPG46SBQJsY0Twqebmld2KINAaI+IHhQOTPddHSyzrI+NqzxnvS54rwAABC2VczbGiKvxFx5XiVho9qTjBxdAEb26qTkdUNACHqBoAUCxYsyJuEIWFsc4KJrSkjkFY+6d4jBVH7wLMwyP8kgOWbe3zF30qKdrbOE6ppMJBMTlOmNQYYEy5j4TY/CytEynAXV8SJbXbFM1RS+bADri3Pxi9QfFYkAExoLeBfjx6D/7m3/7NQq1atwo033oi/+7u/y4x3xBFH4OMf/zi+/e1v9zvvOupg7Du1EeccPBoRxgRPwWLlXxovPcFQaNdOqRZCpLz3+k4an/sXwv4VNSgyX5FHXkljA8dNemfsH1zUgXsXduDp5V14blUXFqzpQncFyF5LN/Vg6aYezJ233QvffadGHD6zGSft3YKzDx6NXe0GeFKolMZoGSYNB1KQlW3HyDTYRsI9JYYI42MgJW+WBijJ90nZ2HNKE95z2Bj84oltSuF11JGNsWPH4sorr+xX3P7Gs/jo8eMxQXp6aoqjJlcJFNG774XrA/IY1WDzVFO6Z/lFTqw4mhRFnvcj0CBlIq0+ForS68Vnnk/xVmzM2QBgjwBURE4vnH9XWVcoYUkYPm18Q90AUF5U9R4AVbMEYOnSpXmTMCTMntCQ8kAhJKe3wRogK3SBngVDrAgPAMeQYuZNE7c6a8JhzEosqyqZPT9rZ5TzwCffeVXgQc34gqNnGBCDoVX65fIAnvqzg6iyR8Enjx6D1gGuRe2vMHHJJZdgt912G1DeddRh8dkTxqHBznizMmz/iqBz36EY71gwNH64FRzdp2/omXgH4PdBS4w3C8yKn4QJ6eYiqejgFJD0vrsI/HnBdnzktxsw47+X47jvr8bFf9iEG59pw4urKkP5z8Ki9d24+dk2fPzmDZj138tw7PdW4Vv3bcaSDd2+UUUKmdIAwoKqduJCQn8apOCuhcficJi3MVYkDSsfgSdWibdfdPL4zCXSddQRw1e/+lXMmtW3HvDAAw/g6aef7ne+o5oSfPLE8XHFEdCVYMBL8/KaLvzH/63Hn15s99Ox8s88WxryeFIjJkNx32L5hjdr1tJrHkEyb352tBm/vjGYCvAAGNPPtfkxA7R9J8csZbyaNn6k54xHDlVqAJhsjBmx3bZHTMMzxjQCmDZS+Q83qt0AUHL/J2FVY7R81c6MJiaQvwGgB56wzlzKswIjXme+eoOB8d8p9XfgdiuiNFslBda+BgsGl+mdPAA3iHX1GPzosTYs3pCuMZMbFEoLeZHaRgyMO49twIdePzA+8uCDD+Kxxx7rM96YMWPwk5/8BI2N1Ts41JEPZk1owN8fTt+lds6zFFxYMClwuCkZ52wf0NJxP9UET95tPoFIpEjEzHvcWvK+6w709vG587bjQ79dj2n/vQyn/GgNfvjQVqzeWv1Lav62qAP/fttG7HbJcrzhOyvxzb9sxqsbaF8XCznTJNcOaxtbaVcez+xzTODNMtBo7713ls/a+/S5KOh2jwkOmtGEMw8YhTrqGAje8pa34GMf+1i/4l5++eUDyvuDx47DzuMa4t4ylsdaUF/qLhrc+kwb3vLdldjnS0vR0pjgNP6+ZZ/qr5zk+q6Qz4rU57y8TCmOOsFj9GsM1rgg5Us1z97Lys057wGgbfIcM3jEjBp9ya5pm+8yoXo3AqxSAwAwgl4AI6nhTRvh/IcVy5Yty5uEIWHW+AaovdugFOYUXxZsQUzVeIPB1Jw3AVy9rYiuHvgCl73xZuuIs/FgIYVJQ2nlejA7qASz9BRuFQ5tJi7wNghJC+KztZmvKZoKwNGzmnDIlWtw5vXr8bv5HfG1vrGBjer5H8eOQeMAflJjDC6++OJ+xT355JNx5ZVXIqlPc9UxAHz6hHFobkj8fsbgfiR1b9snOdx+3+5YOPh9z+WjTOfaIHb3ty+Yd7q+lih5Z9QlRWfR4Hcvbcc//Ho9dvnycpx+9Rpc/fA2rKtS18r+4JElnfjPOzZiz68ux+u/tRKX3r0Jr66zhk3o9hWr0AdhJuSransb/53Gi6XxQBrJ7X3su4zde8tVegM/f+oESWAddURxyCGH4MYbb0Sh0Peg/dhjj+Gmm27qd95NDQn+4+QJijGNjViUIDUGrNzUg0vmbsSeX1yKs3+4Cne92I63HzIaXzlzUnaBzK8Z0jBgnwuJ3+9k/9PGAvdsfP7P4fLKfyrdxr9XJl9WbMrZA2A0LQHQ+OhwIM132rjqNQAsXboUxWJVjrFVaQComvX/QPV7AMwYJ/35LVOT0g/geQmAglmgNSZ3DwAAWLm1xx+cnCAOqD6d2gycZ0Aw8GZn3AAg4nqDBHxFQ7qJpdmWyoNvUJDvY0fPAMFPdcjOTbjmnRPxuwUdeNv167HPt1fjG3/dirXbaNDR1sApRoXZExvxvkMHNgt111134d577+1X3H/+53/Gpz/96QHlX8eOi6ljCvgneU66Jodpyp2mKPKf5gnkhSt916WnAMMRrFAqvW8UJmCFUMKKzT34zzs2Yvp/L8fbfroG1zy2DRvaq1IgGRIeX9qJi363CXv9z3KcdfUaPLykEyXjCkrt6xToNKH9LXgPF03At3GzjJHSEBDzFNH4u40fMwJos50GeMPsZpy8b2ucpjrqSDFz5kzceeedGDduXL/if+5znxtQ/u8/agxm79SIkpHMykhJ8O12dhvMfbEN7/3pasy6+DV84fYNeC31SjxoRjOu/8BUFHgPjxhsn9WUfo4DiONMxVXri/ad3B+pQJnLvQNsmLaRICv7WVUy+S8BmMIeADFDJ5DdhjJOBNOq2AOgq6sLq1atypuMwWDEjgIcSQ2vatb/A9XvAbBzsGGf9KtkKFJOIPQmGN3Uu04sT7iTADSBzZuJE3UsygTGX0fsZWTTG32Q4ESeS1w4WHp7LLDFm+uQUNzYjBf9fOfs14ovn9grCCzc0IPP3LUFu/7varz/txvxtyWdobIRrKMz7u8zx40d0FpUYwwuuuiifsf/+te/jvPOO6//BdSxw+Lfjh2L0Y3wv9/oTAzC86k1w4CJxJfvOQ8LKZwCQqAypSvD7T0g+EiqwC7d1I1P3LoBe166At+8dwvW1/BM/0BgDHDHi+04+oqVeMuP1uCBRR0lXgW4ccgzAlgjteP/9C7TbRf+760ZZjUjk5y11JR+aYzQjBMpvvWOSQPywqpjx8PYsWNxxx13YNdd+ydC33333fjjH//Y7/zHtxZwyZmTfH5m9xlK+1RbRxG3PL0N/+/aNdjls0tw+pWr8OsntqGbeOrkMQXc9pFdMK6VPmjXB4wSRn+a0o+McH7WlFybpz1BSRtPpNHX1t1u8hqUk4bJZQF0v7GtB53dfWjNI4ydxjb49cqClC8lInzLYpfx1WsAAKp2GUDdA2CkUe0eAL4BIGZiVWbME8sNSIi1My8ApubsBbBiS48+EHCYPK6G47FXg6smGT2CWSaKzO68gB/HlU8vFXuBTw/FyTqyUBEyv3DCWJx3UGn2qKPb4Ppn2nHs1euw++WrceEfNuP+RZ0lu4c66CbYb3IjPnTEwPcCuP322/sd/9prr8Wxxx47oDLq2LGw64QG/Nubxrnv0jPoZblkSsT6mZ2p1+JIIVQq/mygiyl8hgI8QRrufvG6Hnz0po3Y69KV+O4DW7E9Z0GxknHX/O140/dW4+QfrMG9r3SWXnjr7SHChbHWa14yInAe3p4RCIdKmQXH0b4Ffta8TgQOntaEf31T/2Z169jx0NDQgN/85jc47LDD+p1moLP/X3rrREyf0FjivQBgDDZtN/jFY9vwrqvXYOpFS3DOj1fjuke2YqPipdRYSPDbD+6MPXZq8Pl2gnD9fkLv7H0wSYFSH+6PEqs9W8Wf+XmWfGWV/ph3maWTT1uybZa+W5Hz7H9DodegE0C2gUE4zjE4LMMIM72KNwEE6gYAiboBAMC2bdsGdHZqJWLKaG3m2gX4AqsN4xkrlnQofd7LAJZvSQcfTWCzkEdI2asdjACdwfGg4w0C1A6BzYQGO4uAoRohWNq8FOJ5kOLXbufz0mD6s3dMxOumN8nCsHhjD7794DYc/9N1mPHNVfjw7Zsw9+WO3v0TvPr20vW1U8ZhpwHu7/D5z38epp9KWUtLC2699VbsvffeAyqjjh0Hl79tAsY2QfSvfrhr8rP2PfJsluQFMQXNoKTsy02vYv2TZ4aZjCKwcH03PvR/G7D3N1fgqoe2orOnrvj3F3e/vB1vvmoVjr9yNf60oJ3srDFLTISnuiVhFOZ+ZzvGCR4ulZPYz9bfn1ObqQTw5dMnVPVa2jpGDldeeSXOOOOMfse/+eab8fDDD/c7/kHTm/HxE8YBxsAYYMGaLvz4gS1461WrMPWzS/D316zB/z21DW2d2R/5d8/bCW/epxW+B2U6YVJISkcAuv5UUpql4cEz2Eo5Ncbjs8jTjHWaMYA9QtljQPIMlhHZUA1g5aacNwAc01BS4qTiHpN55bimXaU8nWLC6AKaB3iaVCWhSg0AI6ZL15cAoPrd/ye0JGhpYOFZiaRa9RRDgfAW8AwLOcAZAIDSBnyBopzec5hkYFnMLWgbk8EUyWrMu4VLrmrkO3ubxA0Zsvn5bHIAo5uAW86fhF20XV9TrNpaxI8ea8Pp163Hzl9fhffftBE3v7Ad7TT7OHl0AV87ZWCzUM8++yyuuOKKfsefPHkyfv/732PKlCkDKqeO2scpe7fgXQele1HwenrpZslhMaVfunhqJ2rEBECXrp+Ee0KgCDPA/DXduODG9dj3mytx9SPbKv7YvkrG/a924NQfrsEx31uF37+4HaYIuB/R/V6BW0Bp6Ze6j4P9S7wkzrDLR6wC/tghknnflfMYMfrJOqKsCc0FfOOsif1tijp2EPznf/4nPvzhD/c7/pYtW/CJT3xiQGV86Nix+OafNuPtP1yNnT/3Gvb98lL88y/X4fcvtKOrn4bKjx43Dh85brw3E+7B8l27kZ8E9xdvDT7IEEBCmpTBpMeYBq3/WXaRRZOUzSSvF+xmZd4bAGYdAZhlEMgycmrG8vQ+ATCtipcBVKkBYKeRyrjuAYDqNwDsPKagWzwlNIGElVqHEtebkvNJAK+s7w6VcsB3K0tfu2sB/gydjW/f2z9NWGMF3IVRYmacstk8wdQLoDgGoQXblOoi3/E+A0mCWRMacPN7JvXunN4HNm4v4vqn2/HOX23AhK+txFE/XItP/m4zfvPsdpy+bwtePyP0JsjCxRdfjEWLFvU7/t57741bbrkFra31ja/q6EVTQ4LvnjWx1KWCzZ7o4+dZGRYKNU+BmGFA27CvL08W5gmacAt4QtKqrT34x99uwP6XrcTPH29DT13xHzY8tLgTb/3JGrz5B6vx/MouYWulb4eVA3AchF4mMU8QQMwEit/e+1aVfDhvpsvSY8MKwPuPGIPj9mzpq/oe6ies1C7e/e5349JLLx1Qms985jMDWrqaJMC//XY9Pnf7Btz+XBvWDuKo0RP3acW3z90J6DEI9ljhpZWA2HPJlPqNfecZAmwe8GUgb58PI/p1osS3lYUun2kTL65cEQ8ZcdMy8l4CsNOYgt/eDE3ht+GFCC8x4k/Jq24AKDuq0gAwbQTzHlZU+/p/b51+zMKpMT/Fpclj4Mh/CcCzq7vhiOZBgYU9C1bstTX2mpIvIQ0DgL4jrTQowPgDEsdnIoKBjYhi+nhgE4PjG2c144dnjVeIj6OrB3h0WReueGgb3nPjBux+2WosGaD1etu2bfjQhz40oDTHHnssrrnmmn4dZVRHdeHAAw9EQ8PAhIF/f9NY7Dc1XUfI37Ym2FlYl36bRtuUiWEFz9hxoDKNdh9bdsC2wCJw/ZNtOOCyVfjZY9viR3TWMWTct7ADr/vWKlzyp83o6haKgIWdyXfjQITvenyVFQwvo1K6hG7kd+DypHuZjRSq07/vvXMnNAyALY4fPx4HH3xw/xPUURU45phjcO211w7IwHP//ffjBz/4wYDK6e+2KjHsMbkRN/7TzmjSJh+k0ihlLe4fWj0l87Qell5c8p704gpBj2mQ+wp4fdD4fVemlXVj2gCgCLyyNt8lAFPGNujtaQxt6qi8k/wwBsUbopo3AqxSA8Ckkcp4JKXyiSOY97CiJjwAAFJYEWdqmlCixUv/8jYAzFvXjc4iEHIi+PR7hgzjR49dGUY8cL6aJVltY6n40zs74GjOFkwzbD2IWB4cU2Z/wWGj8O9vFEeoDRCrtw18qvJPf/oTfvaznw0ozXve8x5cf/31aGkZ2IxXHZWJ5uZmXHjhhVi5ciV6evpvRNp1QgMuPildeqIJZEBJ8AO/F0qV7du8Rwbv2OzFU/qc5HsMudxAGgeKvX9LN/XgrJ+vxft/vb6+q3+Z0Nlj8IW5m3DUd1bhyaWd/ftd5Yx8LL43XgjG7hmFKKK3twvSby/x02iDbPpNHjKtCf96TP+XYm3atAmFQmFAbuJ1VDbOPPNM3HXXXQPyktu+fTs++MEP9ntPnuHA2JYCbv/wLphs5UF2p5fKPsNTnAWPtjxcyj2e+GOfqU95y3ysrMZGO5bfrFcOpU/oXRY0Yx7XKQGeW96JPDHZyf7iW7D19pbEmdK9lkaDoh9Mq+KNAKvVAGCMGRFFbEQyNcYkGEGrxXCjZjwANHdV7egsAIEwJI+vQ+91as5LALqLwEtrekj4AjziPZd8Fs5ERqJeXhxPVjNhHBlPcw/zBjqRVs5yauUrcmIwqPGgB+Abp47D6XuXX6n+1Kc+hZUrVw4ozfnnn48//elPmDx58ghRVUc5MH36dNxwww24+eabsW7dugGlvfytEzBWO1Y0Sw6ThjytnwGlfqutO2UDgU1XSHyhMjYT4s6kT4AkgUGCqx/dhgMvX4U7X9qeQXgdI4WnlnfhyO+swsV/2IQOebKCmDCMzv5pcdjYG5ONpYcIj7FW0fBOnxCZMi3J/2fvuuPsKqr/977tJdm0TS+EUBKqdEQ6iCC9I6AgTaoNUUDRnyJiAxUpiqBI772XgEhvghASWkgIpLfNpmx98/tj79z3nTNn3pa8t28f7vl8dt+908uZ0+bMXOAX+9Rh/OCuC9RvvfUWZs2aheuuuw5VVVVdztcPfQ/OPPNM3Hvvvaip6Z4h/+c//znef//9PLXKh9JUhFuOG4aNR4ojgyF3egmaYY3XnCZHsawl13QSz4osyUapLEY63nCxZbABwjFoyDwE6Y7kBTcAVKf8T0BrfM2jWxme5oXLY3jCCF7MRwAWL16M1atXF7oZ3YUUgLx8OiZf2l0lgPI8lZ1zKHoPgGrrGhWBFcTgboimhAZ2pt3PCxYG3l7Y6hJptggnO/+WUPEWIeAxnUTgi8OlgYQvpZGKe7ZxZUFSCp3SuML57VEFbmtStxAYk8o6oCQCbj1sECYP612L7LJly3DMMccgne7ezueOO+6IF198sf/rAEUK2267LaZOnYqLLrqoW3dBAMBe68cX/6lGNyh4Hni3YSEjmuP2z3mMf+uzowhGbn7OF8PHS9vw5WsX4eS7l2NFc/+ufyGhPQ1c9NQKbPGHBXhpdgvNayCDRs+lksFHvzQDsKTzoXqYR9nEljcxLzEGdRURbjl2KEq7wWYfe+wxPP3003juuecwfvz4rmfshz4BqVQKf/zjH/HnP/+520eoHn30Ufz2t7/NU8t8KE1FuP2Eeuy3SbW7JiT97EyJl2l4zdl3udYYbDhfVMibNVaZ57ax+79df4bWoizHppPeQI4sl6lz3op2LCuw99fQmhLdiBLkmwEPNz5mx2DvCqC0xXwEAADmzJlT6Cb0BPJyD0C+tLtBeSo3L/C58ABI6JmwisqbWjVFVirJ9tcAI2tTqCrwZz/eXtjmKu1A2N1MEnjH/cv4hFFjNJL4S+Iqd4q4bZq7WUrkZ7BxIYVGxiWMrOOnriLCk98YjA2G9q4RYOrUqfjxj3/c7Xzrr78+XnrpJey44455aFU/5Au++c1v4qmnnsK3v/1tvPnmm93KW1+TwnWHDo7R2Ij1FaA9FkKkR67LbLu32k6VsBO6tCVyDBPpNPDn5xux6R8X4KkPmwMN6odCwPSFrdjhigU4+8HlWN0q+JoFA/dTsZqCLw0EEPHywliPPhvXmAu4XieJ0i/CAewwvhy/+Epdl/pr4Z///CfuvvtuvPbaa9h11127lbcfCgfV1dW4++678Z3vfKfbeWfNmtUjw3tPoawkwl0n1uPgzar9jRML2sVzWlqNtlv3f5veXt7slA99bWoGOknDHbCKb5RpmzxW4HyRwNCRHmpD8nlDYFqBd/+BWBl3xjyO0LyfOgPmh5oxIB7TYv+EabEeA8hHofnSGvLS2HxBsXsA1NeU6MQWIGVYSD9WIHEurhPuUIiQioCJg0rwbgEvO3l7gag7ROycHR6jKASRsPDG/U/GxDIkOz5awZSXjS3sKmzTapbZzvqhKSseLTYZ63kEjBlQgmeOH4LdrluK95b03jz95je/wfbbb48DDzywW/mGDh2Kp556CscddxxuvfXWPLWuH3IBZWVluOSSS3DWWWfhG9/4Bp544olul3H9YYMxakBspDQCwVO8SIXQlqwNQZu05AmZs4Y3XqsxKGTQyZ88Z4x37y9uw4l3LcNzswov7HUHoggoSUUoSQElJZnf9rRBKopQVR4hlQIGDSjB2OGlKEl1xLWngfb2zO/ihnZ8+GkLeknn6BEYA1z6bCPum7YG/zhyCHaaWOHSd22eNYNRKB3oWUHTIB/SpG4DIDKQbOXc3Qfi6Y+a8cT7XT9WctFFF2HMmDF44okncPbZZ+Oyyy7rct5+6H0YOXIkHnzwQWy11Vbdztvc3IzDDjsMS5cuzUPLfCiPlf/9NqnuCEgTXVXlHZEGiI9ZQchlyISxoZVBW6OAW1ZnCq13nMv44VL+4j5wPr67wBoBjCm4+3+EjosZs8qMkXjmOxdsOhnORgAnbUfE8IElapXFAv0eABnIlwFgUJ7KzTm0trZ2+zxzX4PkCADgCzbKAnaWrqGMieLsSjiTBhfYAGA9AGyzHLd5uBZQTci3YZagGcB1hQKcAVQu3fOMBKxwSMYmlX9rYGF3KkQ+BdUoajYjAk3TqNoUnjl+CHb/51JM76W5MsbguOOOw2uvvdZtt/7y8nLccsstWHfddXHxxRf36oVG/dA1qK+vxx133IFddtkFZ5xxBm644YZul3HOTrXYe4NKAEasN2R2U3iNpeHv3mhf+4DpMCZ4wozUzkACqwxXfmm9Xf/Gapx673Ksae2buDlyaCk2WbcCG69bgU0mVWDjiRXYaGIFBtakOr3fqjvQ1GIwY1Yzpn3cjGkzm/HORx3PMz9rzV0lOYCPlrRh16sW4qK96/Cj3QZ23KquGU8d2kvGJc1Ay8kCRak7lDIP8yIZhg70vOFrQ7D5pQuwoLHrF2ueeeaZKC0txZ/+9CdsscUWOPXUU9Hc3O+l0tdgk002wUMPPdTjIxtnnnkmXn/99Ry3SoeK0gh3n1iPr25UpSjSMciz5EBGpmIFsiMiTgtXFrN5AHf9Sfk1FB4CTx5DeP066Y1PBxLZMBL3xkR4Z15hDQBjB5eiolShcZoMbESYTZeNfkHGdfS/LAUMrS3p0Wck+wL0ewBk4H/eA2D+/PlFrXxUlUaosURAI4qWgFnF1AZKouoVEFMGE2HSkMK6/MxZ0Y7lzQaDKolZ2B0pdqGXRB/2PY5kgicvRbGQuKVFfpqkXKt4cNr41+ZPFBkSMKWbWQg0wTFRmqjvnCACRtZkjADTFvWOEaChoQGHHHIIXnjhBdTW1nY7/0UXXYRJkybh1FNPRWtr31Io/pdhyy23xD333INx48bhxBNPxN///vdul7HduHJctOcAuDtG8AUSB79JiEzWgV2/tCbtWrPrjteXzQJbRhe0YWugMx3ny3/4aAMufW5lt/ucL6goi7DPDrX48rY12HRSh9I/pJfOYlaWR/jCBpX4wgbuTeWr1qQx7eNmPPzCStzxVCPe/bjwimfaAOc90oC357fimsMGo8peOmkELc5mfM2mNFjazkcKgko/G7fg8ydRz4gBJbjx6CH4ytWLuvxJyXQ6jW9961tobm7GmWeeiY022giHHHJI0Xs1fp7gy1/+Mu644w7U1dX1KP9f/vIXXHPNNTlulQ6VZRHuPakeX5kcXzDpKd9kxGXlkXeL7bsE52gmbYawIdgImu7kh782NQOBXZ8MUinmsND6TeQ40e/44Z25hZVXJg4tdY3bSf8VuqMBGyVDtM7Jb5I8IwcWrwGgu5cX9xHovwMgH1DsjLK+Ot7tkWccLTiLmyQQbeE7F+NlIiYNKvyZn3cWtnUQY740xvbZQPcKSJ5JofCsu+LdKvSgsWBmZZkbMzO+hJCNAUm5cf32hnJD4fzLbZDtsg9JP4mLESMbXpPC08cPwabDe+9OgLfffhsHHXQQWlp6ZhE/4YQT8Pjjj2OdddbJbcP6odtgPzP2/PPPY8yYMTj22GN7pPzXVaZw6xGDM9+MZgFK7vLLs5asKHWmXLHQmNz+LA0IXA+VZURZBljelMZ+1y/pE8p/VUWEw3YfiFt/OQaLHtsA9/xmLE4/dDB2+kJ1ryn/2aCmKoVtN6rC/51Uj2m3rItpt6yLX5xSj80K8GUSCTf/ZzV2+csifNbQDlfSN0S/TedKvA2wRVj+I8/7O/zGlikMvRaf5X0CNs4Ae65XiXN3H9itvhpjcNZZZ+F3v/sdtt12W7z22ms4/PDDu1VGP+QeysvL8dOf/hQPP/xwj5X/O++8E2eccUaOW6ZDZVmEB04e7ir/UgmUyrlU/g2yXqSavHMax3AbZcq3Zcn8EXzekJQNRa4Vf5xXkIasmy+iydMK7AEwaVgZ0Rgap2zuX5KHanxSSyvGdHCBvw62NtBbx2hyDIPzUWi+ZjEvjc0HFPsFgMNr4sXON81nW9RpZBY+f8te3oBMSud6gwsvbL69oC2DrZqwxSAJNhN9SdRkHiAzPjYN3ycAkQ5wjRKJsGjccpz2mkw6Tm8TeYYJaXCIKwvsVNVXpTD1G0Ow+YjeMwI89dRTOOqoo3p8QdGuu+6KadOm4Xvf+163b0buh9zANttsg5deegl/+ctfUFJSgiOPPBI333xzj8q69uBBWEcaDh3hiwxmiVENJMQgg+dMlJIwuOvHKna2HhaI7G+KFnFCDzKL54PFbdj+ykV4tBvnsHMNNVUpHLnnQNzxqzFY9OgGuONXY3DkngMxoLrvC1wbTazABScMw1s3rov3bp+EX502HFts0PXvm+caXp3Tgm0uW4hX5rTENNpkFBgAHTRUGqj4l3DIMYob58f71ZQJq/jzO6cjXvyLveqwy7rdN6L88Ic/xIUXXoiRI0fi9ttvxxNPPIHJkyd3u5x+WHv44he/iDfeeAM///nPUVraMz78xBNP9Nqlf1VlER46ZTj2tOuVlX8LCRkWiiOn82SsKEPXWcm3nl5J2UT3QWWwQcCGp437x/XKTSApS4UU/XYT3g1XZMzZS9uwqiUkZPcOrDuMLgC0jWceykb3xLOCSxD8UBuvAG2r6zcA9Db0ewDkAxYtWlToJqwV1FenfEIc3AmnjHYHXRJOJgTx36DKCEMKvODfXtRK7lhxoCT4Np6bGlCS1V0YKGnlmLUjc7kNx4fKAoSQGTfattdpJJdHRgJnpzPEdIyTd1h1hKeOG4It5Ld78wj33HMPTjrppB7nr66uxqWXXooXX3wRm222WQ5b1g/ZYNiwYbj66qvx8ssvY5tttkFLSwsOOeQQ3HXXXT0q77Rta3DoRpW+AKntpkgjGSied/c1YxofAbDl869NyDuxckcp6hCcnvigGdteuQjvFeiuk83Xr8QtF3Yo/bf+cgwO230gaopYyNpgfDnOO24o3rh+It66cV0cscfAnN5L0FWY19iOna9aiJvfpG8/JwZdqdAbV8HxgI1QhtKJxEY8SD4cKc/IPJekgHuOG4aNR3Sfdv/0pz9Nvs6y55574r///S9++9vf9uh4Vj90HwYMGIDLL78czz33HDbeeOMel/Pyyy/j4IMP7rFXXXegujzCw98ajt3XFzSbxBUAviylyIrq5kWSjtaZtsasZwD/cltAZSSGgciN14Drsv0JKfqSP8n4+LfQFwACwLrDypDQoURWpATyaAAgjAPK+EqQcx7LzQMri5c3LVu2rNBN6An0ewDkA4oUGRIYxkKiVEYV4SIBdqfXhBKRvtDHAN5eGAvm3iV8cIUw9mqQlmomYhHcfmazHFtlPTn7adz09iiCJJY2TFqppTXWOytqy4/cvgGUjgh/koSZaoShlSk89Y3B2HJU7xkB/vGPf+Dss89eqzK22WYbvP7667joootQWVm4HcTPO5SUlODUU0/Fe++9h5NPPhlRFGHFihXYb7/98OCDD/aozL3Wq8Afvzow7F2jvQPZPWyS9U6GNMdgadx169A/zXCWCTMGuOzFldjnn4uxvKn3r7rfanIl7vvdWPzn+ok46ssDUVVRAC05z7DZehW47aIxeOfmdXH0VwYi1cuyY3ObwTG3LsV5DzdkvmbANJ4/NZZV8Bc45DwbgcOSAVNBznEYTcnpcLF99KR6jK3rPt/91a9+hTPOOANtbW0oKyvDOeecgxkzZuDII4/sdln90HXYd999MW3aNJxxxhlIrQWST5s2DV/96lexatWqHLZOh5ryCI98azh2Xa8yQ0clGZRypQyXclRoNxlwcV/b7Zeyq6Xd1iBglX42EPCRgrTxjQda3dkUfWkgUHjZO/MKe/6/NAWM8zzsbL+lVxM6wrzNMIU+SQOolVcdGRQYWMTG6X4PgAz8z3sALF++vNBNWCuoq6CFLRapQ0yZmHmWVeMqzgxxGZMKfAzg7YVt4rJGk2m73SXncOfCGWR+mVk5RyAUzhaS90SyxKCg6Q9yTG058jiDZVwOkTaZXU5NeAy6N2QqH1yZwlNfH4xtRveeEeDSSy/FD37wg7Uqo7S0FOeffz7eeust7LLLLjlqWT9Y2G677fDyyy/jqquuwpAhHbzlo48+wvbbb9+jT/0BwFajy3DnUUNQzndzMHjCnZIulI8NaaA0IUEziaM1JfK3tBuccs8yfOfBBrT3su6/3cZVePgP4/DqPybigJ0GFGR3vLdho4kVuOnnYzD91kk4bt86lPSyDPnrZxpx0PWLsaI57Sr12s6m5BmgNM4n0CiTg4eWL5tMHcyXLE7Lumh9jK0rwaMnDevRedsrr7wS++yzT7LBMWbMGNx666146qmnsNFGG3W7vH4Iw/Dhw3HrrbfiwQcfxLhx49aqrFdffRW77rprrygpg6pSePRbw7HzJGtkF/JSCDS7llSoNQOwpPeasi/zWqOAPb7lKP6Ux14kyPVxmaF+SHlY9iep081X6C8AjB9SmrlfxwM2gNCgOzQryoQ5dCn+5XFhD1R0hA8sYkN1kRoAisoDYFCeys05FLsHQG25XZjGW6Txg0soHcUxBnljqDQGmMJ7ADQ0G3y6Ir7QSbtUxhHkiNBJqy+fNXaMJJFL8JzdR1GGZBCh3U65o8RjqzHMCP5uVLJCiTk7/RN18EtsOBhUGeGJrw/BdmN6zwhwySWX4LjjjkN7+9rdFLvBBhvgmWeewV//+lcMGjQoN437H4b6+npcc801eOmll5zvUU+dOhXbbrstpk+f3qNy1x1cgoe+PhQDKiJ3p169DRqu4Cc3U7PZteR6snlC6xFKuDFYtCqNPf++BNe8tjqQOD+w4+bVePyy8XjxmnWwzxdr86D4p4DSQUDlRGDAlsDg3YH6Q4BRJwJjTgVGHQ8MPxIYdiAwZC9g0C7AwO2Amk2A0rzIGB5sML4c110wGu/fsR5OOmAQSoOCbO7hgelN2OGKRfhoifUog06n5Z/0OAGEcZaEbEewRsZ45SgcNi8ZDixfsmVGwMbDy3Df8UNRWdr9MXryySex3XbbYcaMGUnY7rvvjjfffBO///3vMWDAgG6X2Q8uHH/88Zg+fXpOvCueeOIJ7L777li8eHEOWpYdNh1Vhte+PxI7Tqr0cdyCg48cFihU6pzIklaWJ8uV9FzyEXuhcpLe+PykM4NAsulCPMumkV5jwpA8rcAeAJOG9VCWcwwD0tVBU/5BOJBJW8x3ACxbtqxX7tXIMeTFAyAvnNcYMxXAbvkoO9dw+OGH48477yx0M3oMF+1Sg90nlKHz3eBsU03U3/MW6HicvqQdJzy0Yu0au5bw0JGD8NX1yjteNIblgehMQtiUcCCjWLMhQANJO5N8XDQRU6vYhz4dJcvld+5K8qsZQZQ0ToMirG5J4+QHV+Dmd3rvkrN9990Xd9xxB6qqqta6rHnz5uGnP/0pbrzxRjQ1Fe6itmKEkpISfOtb38Ivf/lLDB7sKnpXXHEFvve97/X4M4z1NSm8cMowrDeELrvSdl6cnVNKJy95ApRdV1GWi9phUNJ9sKQNe123BLOW9d5njLbYoBKXfncEdtmiOkdKfwSUjwRqNwFqNgZqNgKqpwBlg7FWdv225cCaj4Gmj+PfmcCaWUDzJ4DJz3jNnt+Kb1+yAPf/uzEv5WtQX5PCYyfWY4sxZRn6zPST75vR8MziKdN0DSL5QgqV9CRw6nCR5J531uCwGxZ3+fOADHV1dbj11lux9957O+Fz587FOeecg1tuuQXF/CnkQsDee++N8847DzvvvHNOyrv11ltx3HHH9cqZ/69tWY2/HTkUNeXS2mrxEW443zSffOo4C802gWcGaXTjcATitLzyWbanK3xCI8jMp8TGUJsBas7+BC3thVsz3/rSABy/fU/v9dAGJjSJbt+tTPva7CacdUdR7qQD6DACFNmG0idRFE3IdaH9HgBF7gEwoJwXLFtrmbhLK598juPZ8gc4NGFiXZQfa1E34O1FtGvDv/IZgEfU5PEB+ex4SCATJq3TlhE69wtEbr4IGZc12wzpFm2UPwvsBSB5tDU4aPlsGnvjtfPFB4Pqsgg3HVKHP+w1AKW9ZMB96KGHsOeee+bkqM2oUaPwt7/9DbNmzcJ5553nKbL94MPAgQNx5pln4p133sEVV1zhjFl7eztOP/10nHnmmT1W/mvKIzz09aEdXwqR3kd86zOHA7pCH/pMn/aehBt3TUF5JnhvcRt2uab3lP/ysggXnz4cr/xjHey65doo/ylgwBbA2G8DG14NbPUcsMVTwPp/AkafAtTtCJQNxVqz9NJBHfXUHwKMPxvY4Apg84eArV4ENvgzMOIooHLt3JwlTBhZhnt/Oxa3XDgGw3rJ02zRqjT2+Nsi/Gduq3t0K6Gf8HcQNTxLB8I1Ou/w5/hd5bmRu5aMwcGbVOLyg3pG7xoaGrDffvvh0ksvdcJHjx6Nm266CdOnT8e3v/1tDBzYvc8P/q9BaWkpvv71r+Ott97CI488kjPl//LLL8cxxxyTd+W/JAX84aDBuOnYYbHyL4HwXXqVcnL7uVVOFygqCEF6rsSxmCrLZjmpK23QxOAkzoi1aFxDQEwPPlzUVlDlHwDWHcbG9u7mzkbQhE4AwJWfO8akmC8BBIryGEBReQB8DGCdfJSda9h6663x+uuvF7oZPYZ/7DsAk4d2VWjKZgqVVMTfgjvi3gbMWVE415ljNqnEjQcMzCjUtmlA16zPCbOIMoqDt0MTKkRU5EXHD059xk0fwf3mrVO0yXxdoLP2a1MlDRAMXE7c93/NbsERdzVg4aremc/1118fN998M7beeuuclblq1Sr87W9/wx/+8Ad88sknOSv38wBTpkzBGWecgeOOO069AXzOnDk49thj8eyzz/a4jtIU8MAxQ7D3+vEny9h7hkEzAMg4Ld6WZ893atpzZztGRPLeW9SG3f6+BPMae0f5/+KmVbj2x6MwZZ3uf9KtA1JA7WbA0L073PXLR+a0fWsFTXOAhueBhueAFa8A7StzUuyi5e046/fzcduTveNtNrgqhSdPGoYtx5S7EV2ls5YXsQeBBY1eayzYYS+0huR6ioDfPdOIHz7c0KW+aXD44YfjL3/5S3LvB8PKlStxww034PLLL8e7777b4zo+b1BbW4tTTjkF3/3ud9f6jD/DihUrcMYZZ+DGG2/MWZkhqK9N4fZvDMOu61e63ojJbr8wdlngs/U2LXttqTQbmfSqXAT93fOkFLJSZ942GnS2uS3kooyHg8hHa/HON1fj8H8U9uthd5xQj7GDSv0+pY37uduQuL+WMH9FOw7+28LcF9xL8Oqrr+ZUFu0lKI+iKKdnT/o9AD43HgDoAnGU2qW0ABKxdeI6qGGh7wF4Y17sAWCJc2j3Rb5rlt4EJCfSTMRkZo7id8+CHPlD611MKOujep1PlSnt14y2mvKjTa80SqSBXSaU442ThvbavQAffPABdthhB1x00UU5czetqanBd7/7XcycORM33ngjNt9885yUW6xQWlqKgw8+GE8++STeffddnHHGGaryf9NNN2GzzTZbK+W/JAVcd8gg7L0eKbch/2S5swIQHhs9nsEq/6F0siy5I2QMZixqw67XLu4V5b+qIsIfvjsC//7rOj1Q/qMOpX/8D4EtngQ2vhkY+Y2+pfwDHV4AI44CNrgc2Op5YL3fAgO2wtpKm/WDSnDrL8fgnt+MxcihPft+endg2Zo09rxmMd74TMhVGjqGFHn+9fiCyKOVxXnY60BZM+fsOgDXHDa4xxco3nHHHdhss83w5JNPenG1tbU47bTTMG3aNEydOhWHHHIISkoKy/MLCSNHjsTFF1+MOXPm4JJLLsmp8v/8889j88037xXlf9vx5Xjj+6Pim/7hG6USPBObG04c5bG0OB0XJkUm9grozOXJkWdE/SwTWRmK83VHjOD1mdTH5cXlq/cGuM+FvgCwojTCaKv8O8YWiDGLQZMduwOK/FlXVdx0oQg9AIA8XASYcwOAMSYFoC7X5eYLiv0rALXWAJBNt2fFk4kzK/r8nJRjKDwq+JcApi9p69ixDiq39CyVYz7T6TAP44dpCneSlsfEZMIAoaDY5wD1dcablBt5iRRfWsgXs1hrrwTJGOVnrwhPxgxM4dnjBuOULdf+fH5XoLW1FT/5yU+wyy67YPbs2Tkrt6SkBMcccwzefPNNPPbYY9hzzz0R/S9cqx5DfX09zjvvPMycORN333039thjDzXd8uXL8bWvfQ3HHnvsWtG9itIIdx01GMdsWhV2mgkJGdq6lcBzJy9oAty1kKa1Z9Pby53i+mYsbsdu1y7G/JX593bZbatqvH3zuvjuUUO6qaRFwODdgE1uAza+teOyvr6m9IcgKgOG7gdsdAOw2QPAyGOBkrW7YO6gXQbg3VvXxfH75l+U6DACLOowAljFJnQBmAX5xZbO8J3fsxluZT2KkH/iNjW445ihqOjBxYAA8Nlnn2GvvfbC97//fTQ3N6tpdtttN9x11134+OOPcf7556O+vr5HdRUjTJ48Gddccw1mzZqFc889N6dnhdva2nDBBRdgl112waxZs3JWbghO3r4Wz545AmNDmzeOzMPGJwpng6ojh2geX1RGso5InknkMSErQcaJIqUYlW0fy7ZT9s/2I5ucJ9ehlIWjwn8CcOLQ0g7FzfZJ0h851hDP/B4KZ+D5j38ry9Brx0jzAf0GgA7IuZRsjBkEYFmuy80HGGNQWlpajDdCJvDc1wchIe1SsJBuTmq4dX2CTwRFoU/PbsX5/8r/t2mzwW0H1+GIKRV+X/hZE6IAnyDyufwoS3rNyNCZS1tKMMckjApRGWjcCXZJM1SIvGxQc4vTmJ3WNxqva95YgzMfbURzL51tq6urwxVXXIFjjjkmL+XPmDED999/P+6//3689NJLa/01gr4GURRh2223xemnn46jjjoK5eXlWdNPnToVxx9/PObMmbNW9Q6oiPDAMUOwyzrl+loD/AsvAR/vegLZjhg4rtKZ9xmL27Hb3/Ov/A+oTuF3Zw3HyQcO7uZ37lPAkD07buivnpyv5vU+pJuAJY8AC28FVr69VkU9+tJKnHLxfMxZkF/Be1BlCk+ePAxbjSnP0F7AfbbvQPbdTY0vhUCWH+ItTLMBTJ3ZjIP+uRiNzT2n2ZtsskniEZQNmpubcccdd+Bvf/sbXnjhBbS1tfW4zr4Glpbuv//+2H///Tsdi57Chx9+iGOOOQavvPJKXspnKC+JcPmhg3Hy9rW6fNRTOqzJSo5MJORJ/uyc3bQItkOuN5HI5k9ROva8lO2TaVl26krfAjD5V3Px3sLCGQG+ulEVLth7kEs3EkOAITkzBi3Mhku6k41mibHZ96oFWLq6OHWnK664Aqeffnqhm9Fd2CGKohdzWWA+DAATAczMdbn5gBUrVqCurq7QzegxVJdFeOqouqCAkEBXFFqZTjEIfLIijSPvLeyXAE7dogpX7R3vLiVtjBtsz2I6cfTOoBF7DpP8RytThnVmgFHrYgJOFYaUnSBQ5ZLRqQKAIP4AXpnbikPvbIg/t9g7cPTRR+Oqq67K6wVUixcvxsMPP4wHHngAjz32GBobe++28VzCuHHjsMcee2DPPffEHnvsgZEjO98hbmxsxAUXXIA///nPa23orK9J4bGvD8EWo+jmdMCnG6F11VWDmgXns6YiDd/jYY1tYs1MX9SG3f6xBAvyrPx/YYNK3PObsVhnVDeO00QlwJC9gTHfAqrWy1/j+gIs/xfwye+BNR/1uIglDe044sefYepr+TVAD6pM4YkTh2LrsfJOAGEA0L4Ww+GdGQdCd1p4F2jacMpLbOH1uS3Y59rFWLQWd7lUVFTgvPPOw49+9CNUVlZ2mr6xsRHPPvssnnrqKTz55JN4++21M/AUAqqrq/HlL38Z+++/P/bdd98u0dK1gWuvvRbf/e53sXJlbu7KyAZj6kpw1/H12G5CjMPW+zFg/O+RUUDKStLoazcnAHhymCbWSP6gyT+anCXXidY+7V1L6xn6RJ4IaGoxqPnhJz36Gkeu4MydB+CYrWp8+iG94Jy7AOK+saEgpPwzhPDDAF+7bhFmLS1OQ+CFF16In/zkJ4VuRndhjyiKpuaywHwYADYD8Fauy80HfPLJJ5gwYUKhm9FjGFGTwr2HxIpTiMCFFNiQEJ5FYU0D2P3mhl7bJdZg8tASTD9laHZl3OmbUKqhpaH8nYFlbMxU5SekuExNKfKs3p2MZ6LkwE3rMOEIjkVc7mBZAwkTf0UAWLg6jSPvbsAzs3vvnNuECRNwww03YKeddsp7XS0tLXjmmWfwwAMP4IEHHsjpUYRcw+DBg7Hrrrtizz33xJ577okNNtigW/n/+c9/4txzz8X8+fPXui0TBpXg8a8Pxgb1ZUi8ZoDsQlXICwDw14eN74kQqgiLvaX8H7b7QFx3wSjUdOe7yLWbAute9PlX/B1IAwvvBD69HGjt2XfOW9sMvv+nBbj8jmU5bpsLWY0AmmdASOHXPAdChgHN4BwCsU7eW9iGva5dhE+Wr53hdp111sEll1yCQw45pFv5FixYgKlTp+LJJ5/Ek08+2WcvZB0zZkyyy7/77rt3ydixtrBkyRKcfPLJuOeee/JeFwAcs2UNLj2gDsNrS32ZxEJn8qC80LI7WkJ36Hc2SDZHjC/n8PEbm1jKXYDoUxxhLzVkeSoxJATWJ43Tv2c2Y+fL1p6frg384eDB2H6dCiHfxaBdImrHT/MMCHk2abxawLduXYL/zi3sfQg9he9///u45JJLCt2M7sI+URQ9mssC82EA2BrAq7kuNx/w1ltv4Qtf+EKhm9FjWG9wCW7YT5y17IoAISFbHiGYfPPhRsxYUlh36rlnDcWomlSGaHumbQYlPlt/5Q23qUjf6eR3Blm2NBjINBG9aGGwAqZWAbWTGyTTe0PCDIKyxkW3tRv87NlV+O2Lq9DWSx5eJSUl+NGPfoSf//znKC3N/+VfFt5++20888wzmD59OmbMmIEZM2Zg/vz5ObuosDtQWVmJHXbYIVH4t9pqK6S6508OAHj99ddx1lln4cUXc+MttlF9KR7/+hCMGWjbQguB14ezvoSRKRtII1kWI2QC1vCmfA3k3UVt2L0XlP//O3EYLjihPuzyL/uQKgfGnA6MOhGIivsSpR5Deg0w91pg3j86nnsAf71nGc78/QK05dEQXRcbAbYZUx6m+5oXCoN2hCBkFMh2rKALHgWfNbTj8JuW4MUcGG733HNPXHbZZZgyZUqP8n/44YeJMeDNN9/EnDlzeuX79hbKy8ux/vrrY8qUKZg8eTImT56MTTfdNG+u/SF4/PHH8c1vfhNz587Ne13rDyvFVYcPwR7rVWbfHJG0NZvhycouEjSRKxQG6PV11rZs7dTaoEHi/i8bTvIWK8VBpTfD1y58rAE/fWR5oMLegftOrsfwWoV/yDHTDOT8zF/XsbKuzeeUq9OvH963DP/+qCk3neplOP744/GPf/yj0M3oLhwYRdH9uSwwHwaALwJ4Idfl5gP+9a9/Yddddy10M3oMW4woxZV7+bd8A9AJs4yT0AXjwS9fWI2HPiqs1e+WAwfiqI2s9Z4azJZcALqybNMKa6eBImjJQSQFR0JnVnVOF/qcjcaAnO/w0jPnd1yguQ000Y6hgCp06nT7+c6iVpz6SCOen9N759023HBDnH/++TjmmGMKdgN1Q0NDYgywf9OnT8fMmTPR2trzsRg4cCAmTJiACRMmYPz48c7vhAkTMGrUqLW6vHDx4sU477zz8Pe//z1n95rsPKEc9xw5CEOqU1DXE+ArL45wRmuqM0OjtvOkKf2REhfH94byX12ZwvUXjMKhu8XGV00BlLso1ZOBSb8GqrvnxfG5hdZFwJw/AovuRfct1sC//rMah577KZY05M8YXVeZwhMnDMU247LfrwEgC09l2kzGAj4LnepkzUegT7FFUA0CxqA1DZz76Apc+u+1P+JUWlqKs846Cz/72c/W+phkOp3GggULMHv2bMyePRuffPKJ8zt79mw0NDR0q8woijBo0CBMnjzZUfSnTJmCiRMnFvTrBc8++ywuvPBC9UsLuYbykgjn7TEA5+4+EJVlsbbuyCLGpcshGaYrhlpbJteR1KO895SVhRRZ+8y0luUi2UbZYM+AkMX6YeOdJAa7X7kQT39QOKW3tiLC46eN0Jue7RnQDQEhDwDp3SRlx1SEXz66HA9N65kRt9BwwAEH4L777it0M7oLh0dRdGcuC8yHAWBnAP/Kdbn5gHvvvRcHH3xwoZvRY9h5XBl+s0tNx0ti7YNP6CDCQ2fCOB2UOAPc80EzfvtyYRf9KV+oxF/3HiCIHHXQYwYKQVO9AQTFZG8AwCW4WXhHkLmy8q/NV6hcblZStkKUvdUs+wt3PlXO7TbaALj2zTX40dSVWLqm9y58mTRpEs477zwcd9xxveoRkA3a2trwySefoLm5Ga2trV36q6urS5T8fN03snjxYlx66aW48soruy1IZ4PzdqrBL3YdgNISNkKBhDD70smikJ8mCiWXnjI2zD7bvPK8aZx/zop2bHf1YsxrzB+ejhtehvt/OwZfWF+4DzuGCxa0SoGx3wLGnIb/2V3/bLDsSWDmBUBb9/H247mtOOCcOXjnI/0m+1zAsJoUXjqtHpOGiG9uayDpryY4806aw3cDgni2d1lmvA7unbYG37xjGZY3rf06GDRoEM466yx85zvfwdChQ9e6vBCsWLECc+bMQXt7O8rKypy/0tJSL6wnnlH5hqlTp+IXv/gF/vWv3hF/d1+vElcdOhgb1Jf6uOa8C74eEe2Wlw07ScUGggR5uZwmW2aDzowGQaMawmswW5rgeiS5UdJxuqujqTWNwed/iqa27hsscwWbjirD1UdmWYcaC2aDI+COK3eFN5KSYxKa3NgBlz3biFteL+yl4D2FHXfcEf/+978L3YzuwjFRFN2cywLzYQDYE8ATuS43H3Ddddfhm9/8ZqGb0WPYd91y/OSL1a7ybiG0m5aNwEqhnPPF8bNXtOOo+wt7idr6g0vw/reGJG0K7rxI74AknDNaQSygtXvu9/FPwhgEF9N0ama2fP6MDQChfihN8stGlnoRnnPb79ARA0q7aHUaZz+5Eje83bvW73XWWQfnnnsuTjjhBJSVdeOStf8BmD9/Pn73u9/hr3/9K1atyh0jHlKVwg0H1+GrG1S4OMXg4ZSGjJG/Vry7KkLliaK0dJS+sTmNHf++FP/N403xO2xShbsvGo0RQ8t84yCDDSsdCky5EqjtXdfjooOW+cCHPwQaX+t21sbVaXz9/+bivmfzx5Mm15fixdPqMagyVjql8Byyo4ZoejZcBoQBKfLPPGczDMR5Zy5rxxE3LcXrn+XGW6+2thannXYazj77bIwYMSInZX5e4LHHHsOFF16I559/vlfqq69N4dL9B+OYLatjjzGj0GALijHWgvEeMnlSiL1OmG5Dx30EwiXd1mimwjKCILvXFZkpWzmasgy4MhEZr//1YRN2vWJBDyrMHRy0aTV+tIdyYXLIKKIp+qH+ayKwTa8YT657eSX++kL+L7XMB2y00UaYNm1aoZvRXTg+iqJ/5rLAfJhRi0ZKX7ZsWaGbsFZQWy5WbBodizbbpXRQ0sgz7kLp59/xdSUY2p0Lr/IAHyxrx2e8y5cQsCjzC2QYkMOsTGb3JWGciImbVXzjcMeCzozTkNumZRBCKEvSwk2XIuaStI8Ubjnu/CyPDjDRlgYfqtYZB2lAgKg7cBa1vroE1x8wEFOPHYwNh/beTuasWbNw6qmnYtKkSbj88suD363+X4JPPvkEZ5xxBiZOnIhLL700p8r/9mPL8J9Th+Kr61eItRO5y8BTeAi5eA0kxiW5pgyVQc/O2hBp7IvA8zYDHHXn8rwq/yfsW4epl43DiCGltF5N5pvVvG7TACrGAZve3DeU/7YGYM0HQMPzwJIHgaWPA8ufAxpfB1ZNB5pmAS0LgPZGwBTgVufykcBG1wFjz0B3vSQGVKdw96/H4vzjh+WnbQBmLGrDYTctRau9c8DyWQueogMXHyQf0vIBGZqbnMsFvF1JxGHZvAKiCOsOLsHzpw7D6dvXdKOnYVi5ciV+97vfYeLEifj2t7+91p8T/TzAgw8+iO222w577713ryn/p2xfi/d+NArHblWNiGUYxM8MNj6RUUD0KptQYBTlX8hHjhJv6B4YWw8Vm4iLkRvP1Uv6KdeGDWeQhgRtfUGEc11p8c4ZbXg6LtgYPPNh4c+7rztU8YbMpvx78i/0cQGlZRk6RXRI5KsrsB6wNrB06dJCN6En0IWzaN2DfPjW5ryR+YLly5cXuglrBQPLo7BAzouV00hBBRQv3bcswaV1HhlgyxGleGJWYe8BeOaTVhyzUUXHi20nC+YWJBGU4fwieSErJd65fSW9B3LwAZjIeXVvpA1lM5l8TvGCuWcTSpnZdbZjpQme8ZjuNqEM/z1pCH794hpc/MKqXnOHmzNnDs466yxcfPHF+MEPfoBTTz0VVVVVvVJ3X4B0Oo1HH30U1157LR544IG1uosgBN/bvga/3qMW5SVRBmf4yxGAb1i0YIBYIo3jlDXlobBAWCMsDOwtwEibJsSOgLMfbcDDH+TPMPTLk4bh/GOHIrJHFFjuYSHcGgWrJwObXAOU5c9lGgCQbgFa5gEtC4HWhR2/yfMCoGVRx1n7dDcF16gUSFUBJdUdv6V1HXcXVE/u+KuZ3BGeU0gBY84ABm4PfHhOh1dAV3OmgItOrce44aU47bf5uaH7qY+acfr9Dbj6oEH6NTFd2YnMlkauMTYKJ2GiDE35p89/VZRGuOLAQdh5YgVOv295Tr7ZvWbNGvz5z3/GlVdeiX322Qcnnngi9ttvvz5zTCvfYIzBvffei1/+8pd44403eq3eTUeW4S+HDsYOE8kwK+9klTQ3IaVCHtK0bkNx/CzzS5dw9uaS6GXbmCbENeJZHg8D/GNf2RR5baMrJOfIMrT3UJoowtN9wACw3jBlnYVEMM24YkEbIw5L09wHyqitKG4DgDFmre5cKgAUhQGgaDwAit0AkHgAhJRHGSaJpiXQRgmHeKf4LUcW3gDw9OyWDgOAZtyw75qRA3CJGRM7+xwBjhsYEAv+okBNYLMFRxEpUPG7Z/KOxE5PROVRudZrwESiT5Se80kBQPMOkETdKPkDzLG8NMJPd6rG0ZtU4LRHGvHkx72HC3PnzsX3v/99/OY3v8EJJ5yAgw46CNtuu22v1d/bMGvWLFx77bW47rrr8Omnn+aljrqKCP84sA4HT6nMLjTY95BSYkRCNTyQ164n54I0IYTwmovhipdX4bKXV3exp92Hi0+px7nH0HEj+xsSmuq2ATa+CigJXM66NpBuBlb+B1jxSsffyrcBkwevB9PW4Q3QTm71K9+iBCmgclxsDJiSMQyUD1/7ugdsBWx6L/DBWcCK7n1M6NRDBiOKgFN/kx8jwDWvrsKGQ0vwg535yzus0EDgtACJM7KIkKCOQBwraw6PN06SIzevxu7rVeIHDy3H9W/kZq20t7fjwQcfxIMPPogRI0bguOOOw4knntjtT5UWC7zxxhu49957ceedd2L69Om9Vu/EIaX44a4DcOK2NSjjjQIN1xK3dSXOkwmFYuccJRBp1QssDeGiEThL6a2MQ0kdz0pjA6VsBTePNLJJGU6m1/otZcFsMpEIb2pN46Ve/DSyBmUlETYeScfPsgr79Kql0+hJtjBlbMqKV/9HS0sL2traiu1Yac4NADk3fxhjvgYgpxcV5AuOO+44XH/99YVuRo/hx9tXY79JXcAJjQhmi5eLXVgL56xM44j7VnS7vbmESYNK8KG9B0BCiJDLeM1AoCkt2RhPtno1Zd1x3QxUwoYIdXKoIY4F3RoVRLGaAcAgc+ka4BqCtO+3G5GH0twyrQn/9+9VeH9pYT4POXr0aOy///448MADsccee6C8vGickFRYuHAhHnroIdx00014+umnc3ajvwZHblyJS/cagNEDSpAYrjS01PBIrh3GHY6T60zLx6AJpkn5GSPAox+2YN+blmYcAnIMvz55GH509BC3rfZFk7+G7QlMvrTjc3+5gHQL0GgV/peBVe90hPG45ZyDrwWUDckYA2o3Awbt1HNPgXQz8MG3geXdv6jp6nuX41u/ntezejuBKALuPnooDtqYLoF0vp4CV+Fh4PkK0WVQWOgoXzbDrgXt4q9UhH/NbMJp9y7H9IX5Oeqx44474tBDD8X++++PSZMm5aWO3oDW1lY888wzuO+++3D//ff3+pGHzUaV4dzdBuLwzatRqtFQQJdhpEFIQqgcpt1rRV8iOBsnCa2U8grJKtq7Ix7FAXxJbHfaJvvWFQOBGKOnP2jC7lct7GKF+YEtxpbjysMGx/0QA5WMR1eQgMCTlbue5/mPm/GD+5Z1vyN9BFauXImamtwckeolODeKot/kssB8GACOA3BdrsvNBxxxxBG44447Ct2MHsP/7VCNr0wMCJuaEtyZYhxKKxiCMcABd6/A4l68FV6DT04bgnEDlTOjWRXxwLN9B3rGWCWwssLeBAnxRuyuyfWICjxLb1ckAIg4AUEFjJS/rgoAVFbaAHe/14xfv7gKr88rwDniGAYMGICvfOUrOPDAA7Hffvth0KBBBWtLd+Ctt97CAw88gAcffBCvvvpqXpV+AJg0uARXfnUg9lqvghQYwPFEYegM9ztbH13BJZlOlklxby9ow5f+vgSNzfnR/n9zyjD88KghvjEteWCB1QDD9wGmXIq1ulbHtAKNbwENL8c7/G91KMJJtZE/P90VhnsTUpVA3Q7AkL2BwbsBJd0Utkwb8OEPOu4s6Cbk0whQXRbh2ZOHYasx5bqiYgVy+Xk/3vns6ryxoUCmlwaFrvA8AK1pg989uxK/fLoRa1rzZD0DMHnyZOy///7Yf//9scMOOxT003xdgYaGBjzyyCO477778Mgjj+T0iypdhZ0mVuDc3Qdinw0qsrsnZ5tv+x7Kl02Jtsoyv6vlEJ479XWGiKIySdOyfaZOg2xrQqbT+tWZWBWH/ezRBvzi8d7HB4aTtq/FidvXhsdFkzHzCK980oLv3F2UZ+kBdNwBVyzyYQwXRFH0y1wWmA8DwMkArs51ufmAgw46qBi/BZnARTtWY/cJedrtDBkLYoz5v+dW47ECHwO4fr8B+PrG4nNc2iV2/Lka+TnArghOjqKsgMZEpeIg83IdXhuEwUCtJ9Bwx5gQaKtROBw3TL0pWIB2dCQu/4mZLfj1i6sxtcD4UVZWhp122gkHHnggDjzwQEyYMKGg7WGYPn06Xn75Zbz44ot45JFHem2Hqbwkwnk71uDcL1WjslRu+YSA8MXZwYFvNEqiSEF2wmMIXWgZsndR2vmr0tjub0vwSZ6+Af/bU4bhnCO1nX/4tCACMGAKsMWtHQpvT2D5i8D824Bl/8qc19foR6LsdULb+qQxoBwYuAMwdC9g8B5AyYDO8wAA0sBHPwEW39vtKv9233KccnF+jACjBpTgldPqMbaOvr0uPzOrfU87SasUms34GuLHXTXYKvk/XtaOM+9fjoffy//Z5iFDhmDXXXfFdttth2233RZbb701amvzcEymG9Da2oqPPvoITz31FO677z4888wzeblbpSuw35QqnLvbAHxpnQp0btAXtFdLE6KjDJpcYxVlzsOXRLMBIVROZ/KQ3UVieiY/WZjIKdwZBNJE4TVgeZEm60kDmrwMm553vnwB/j2zsBcQX3nYYGwxtiIzLs7c0oTLTSc27oPTayDwzDEmuIP7n09bcPqdxWsAWLBgAYYPz8Gxtd6DC6Mo+mkuC8yHAeB0AFfkutx8wL777ouHH3640M3oMfxm52rsPLbMtcaGPme3NqAI4/d/2IKL83j2tivwzU0r8fd9al3rsfY9XA1CO2mdQVcNBppgJhllZ1OjMWiN6Kv6vGiMhhuqAEAKRVKMECzSythxOfH7K3Nb8esXV+Pe95q7NLT5hqFDh2L99ddP/jbYYIPkecCAriok3YPW1lbMmjUrUfhffvllvPbaawXZXdpjYjmu3GcgNhhSApRI4TGG0G5MEgd0QcLTw7MJozIbpyc7xeoWg93+uRSvfJYfQf23pwzDOUcMjusX/WZjh21b+RBgq7uAytHdq6h1ObDgLmD+7cCa2ZnyOwMWWEPDHlrnfQWiMqBuO2DIV4DBe3ZcMtgZzLoIWHBTt6u65v7lOPlX+TECfGFUGf598rDMXTzOnGhrBD5/SoCVGOPimqfUKEZaTUbX8EPhc/fPaMLPnliBN+f1nvKbSqWw0UYbYbvttsPWW2+N9dZbDxMnTsT48eNzei63vb0ds2bNwgcffJD8vf/++/jggw8we/ZstLcX5tgaAJSkgKM2r8aPdh2ATUeV+/RWIoCq2JECnCQXYQxJmJLG5pV0Th4TtHmyGRYcmYVwPiQjaWnlu7e2FHnPa4ioi9smjXJaX9DBcwb/5FO0tIfqyT+Ul0R44rT6jgt6NQjJpR7PFQOv3iegTJB3dDXCO/NacfJtS9a2awWDOXPmYOzYsYVuRnfgN1EUnZvLAv+nvwLQ0lLYHcq1hZKUJeDWwmncBZ0D3R+AqwDGdGCrkYW/9ffpT1pdCy+gMFH4DEIKyPbCGr5ULy3KCbpdKc+aldkyTHZD04wH9lnSZMuIPUZPhUUkKEjm6DB3kc+zFHPDlfYmBgLLmGncqN/bjirD3YfUYcaydvzmhVW46Z0mtBbw1MiSJUuwZMkSvPTSS054FEUYPny4ZxwYNWoUKioqnL/KykqUlJRg5cqVaGxs9P7mzJmDmTNn4uOPP8bMmTMxd+7cggqZALDOoBJctFstvrZJZYdbqfNJHyFUyssvvZvGYyRwbujnKIm08PHLK4+ibDDvQsU4kzbAcfc25E35/93Jw/CDw63yHzdGFaLiNqVKgY3/1D3lv+FVYN5twJLHO87z2/LTgPMVBWcYBV1KRd49HEm8Rq+YloUE794E09rxGcLlzwHRz4GB2wJD9gKGfBkoHaznWefHHV8lmPu3blV10gGDEAE4KQ9GgDfnteLo25fhnqOHoCQFAJH/1QwGO3+8zhK+Q2tSXgwraX1XlH8GmUbAAZMrccCUSjw4vQkXTm3EK5/mXy5Kp9N455138M477+Daa69NwktKSjB27Fisu+66mDhxIurr6zFgwADvr7KyEs3Nzd7f6tWrMXPmzETZnzlzZsF29UNQXRbh+K1r8IOdazFxaKk714ZlOKLFmlIcCfrknbO34Mtv/rt9lrIRly+e7Zl8zVggC5FGA0lX3UbQI/eby5N9VAqTayEZI+JP3HZOR/cNvDirqaDKPwBsOqosrPwD/jhKWpAMj+XFRG8cA5OT2JenSb8oLSnsmKwtFKH+1/8VgFxCX2MM3YXkVljHtVASCUXB8yCbRMiUOpNmdG0KI6pTWJCDTwv1FGY1tGPWinasM7BEMEjQ5/WE4i7PmCV5KC0LYhKkwK3RQMnsGOS3Z0PMNRLpk08dwr8MJxVHWCXCu2AQLrF3mJ1RmIPsnxVQI5FWCizwvQMATB5Sgn/sNxC/2KkGl7yyBn97cw1W5/HsaXfBGIMFCxZgwYIFeO655wrdnJzB+kNKcP6ONThm0yqUxXf8OTfrS5zgefUEAGTe7foCSAg1Ao+Ni+fedGcRZjRBMgIueKoRd76bH3fl339rGM62FywBvtLkCKNxx9Y7FxjUhS9QtK0A5t8LzLsdWP1BpmBe444RU+RP01gyfWJX3GTsPYk+rot5hNLHQoFpAxpe6PibdREwbD9g1IlA1bp+2nHf6/i84eL7u1XFiQcMAgCcfPG88GZhD+GBGU0459EVuHTfge6akgq35Dfas+XRiWEA7mWwdl1Jt2cJcgc42xwTz9lvciX227ASj3/YjAufXoHnCnCEq729HbNnz8bs2bPx9NNP93r9+YLK0gj7TqnEkZtV46uTK1FTrkwKzzvjhP0CkTXsezRKzLd214SHmE7FbrgU+RKeIRRmlUb6xalyEOfJ1iQpb1nI9qUYbxxsZsmMIr2fAJDOrK9nZhZeUdxybLk/9hZCcqhkBSG5VMp+vAEAuPJAIttFKEsV8WcA0G8AAPo9AArdhLWC0pQmXbMQEonFrEknwvzpuQRFIk/mbcsRpXikFz8Bp8GjM1tx6hdKMrceW5DMwWFWNEZ0q7iX1o5FWhBHgMIDjJdBJbhZgBUgVvJtGBsD5FRxO1LGFzxlG1ixsLhjPQnSIn/y6Z+4MvvsMA5F6oyzjxtYgj/uWYuffqkad73XjNumN+OZ2S0osHH9cwdThpXiJzvW4IiNK5Ec89cMT/zrkBBeD8h8/tIo+ULWLEdocDJQwaQIs5Jr8ZHW4PVvrcGvnlvV9UHoBvz+lGE4+5BBhO/URG56Em6A0YcCY7+eveAVbwKf3QosehRIr6EIkxlX1ftGqd/IQJlGCrOy7bSWk/XuF1dQg4BpBRbdAyy6Dxi8KzD6lI6vCTBM/AWwZmbHFxG6AdYIkA9PgD+8sBJThpfi5K2rM4FSuZFrSgMjIhO6HmXoOq8NSZ+5Xsdd28AxymquzwR7rV+Bvdarx9MfN+PCqY14usBnn4sVyksi7LNhJY7cvAr7T6nqOCoilTV1vqDTZQb2wJI7t6z0m0ikgU9zkoridPJzg5xOVT6JbmpfgUlkLfjn7K0OKY2ZHObwBVGux8cCA+Z5gcYVGeJtyfhFmTxRhKc/yP8dGZ3BlmPLMn2UdzBk+xpIBJf3GyWt5At2bBAh41XMeTvGsqzfA6C3Ieeb6/0eAEUMZfaWYVVojOAIfXyuTFr4vELgLnZHmMxQgi1HlOCRj3PSlR7DHe8349QvVNKOJBTlFmGbh+oWL8AK6nwWzWEUgCdkSejsCAG3W5tPTVDnuEiJY4GS0zBjle2T4yF3cqUwAYFfETqYqiZkxMLCkKoIJ3+hCid/oQoLV6dx13vNuP3dZjw7pyVvn3T7X4DNhpfigp1qcMiUSvcueilQakIcn/P08ojERiCoJ1gi84WLiNI5FXI5UQZXSMCw8S980oqTH8jPZ0d/ePjgDuU/aZ6lI6RkSWNWzSRg8i/ChS59HvjoEmDlNDfcCsiIfx2DpYnXZeQrbpIe8Nq1hkgruDOwgRLIjHeiPFJazUOgYJAGlk0Flj0NDNwaGHVSxycFgY7LBDe4DHjncKC1e+dPTzxgEOYsbMXPr1mc8xaffv9yrD+kBLtOrAgrKSFgWsr8FiDeYpPEDwnumAwOWMWNjyFEkassRvBlgoRPuArqbutWYLeJ5Xjp01Zc+9pq3P7f1ViRp69ufF6grCTCXutX4MjNqnHARpWoq4wXvFRuHZkKAdd5+HIYr+VEDkFm/p08IByw4VSxR19cuusjsFWYQbQRbhncD0nDmMfwJgaPgyYPyfGASCN5m5ZOe9YqZPoLYFVzGq/MKayiWFEaYePhpFZp/FuOo4XQmDhpWEY0Pj5wOcT7SyW/KTIoQgNAvwdALqEIEcCBUhY02E3MWahCobPCowG8s4eAUIaZ6fgaxJYjygDwzlbvwzOftGLhmjSGV9FtzBZCCrIMk99LdtIZNzwV4EzyjJQjYNGzLFvdlQukl+3nfmS7mTcl8khDQFKWEAAcQ4L9pbalDZIjB54rXlyAZmAh74nhVRFO26ISp21Rhfmr0rhzRjNue7cJz3/aGuRX/ZCBCB2X+525dTX2X78CnlceK4yakOkpG9BxKgkTs8LpOIq9BoyItziT0BUhzJKRaXZDOw66bVlezmAe8qVaXPzNoe4asWNUArevyZqMgA1/DKQUO/eqD4H3fw0s/beitMVlpUmA5jFJdsaMsz4cAdqh3cgoeRZse73Pz9my6dkTIKWwR+10wv1u5w8MsOLVjr/qDYHRJwFD9wHKRwLr/wmY/k3AdM+I/7MT6/H+Jy245fHcGpTa0sChtyzDy6cOw3pDSKzy2aauuLgPLkQiDSt0TtnEq5wwiz9WgbO4SHSef20hpiNw+3Hl2H5cOS7btw73TF+Df76xGk9+2NxvrI2hNAXsuV4ljtisCgdtVInB1fS5Q+9YIXQZBUo8x3W2iwvomyC2IJbjnLtG4jjHE9LSZKZBEHmIfhutQRbXRHyIX0geIYuU9MrptxKmrg9KLz+Aw3Iz1fXCx81o7QPn/8tKBQ4xDbH9sSDlPIj3wHQ5z1paMQxl2e4kKAIoQv2vKAwA/R4AvQSlcrdOKqvJsxDukmfjLnDvcjz7QEI6EYPRtRFG1qQwf1Xh7gFIG+Ce91vwrc0Dn+DSFB/JYCPlWRJJGy6PAzgKPNzxlszVu1CNy6c0mvIv3ZMlsDugpO4hoYH7zVb5pE64jMZpJ9xxkOXZcO8YilRukIzZyJoUztyyEmduVYnPGtO4Y0Yzbp/ejJc+6zcGSNhwaCmO26wSx25aiXEDUi7OdCYASLD4IfPb55ASEwoDMh4AQaWR1ogTHxcWAY0tBvvfshyL8nDPyFbrV+CGHwyP7RTGVcxt+5OmknA4bDdg6I5uYS1LgI/+BMy9AzDt7tqI4NKMCEiEYynUJgKqoXRw6bo1JqTj/NK4l4KgR4YMCnBpiCZ0p5BJX0JrFaKe3pb9Vr8HfHgOMOcyYNTxQP0hwITzgFlZPDEUiCLg7z8ZjdnzWvHC27k1Xi9dk8b+Ny7Fi6cMw6CqVJhmh9ZEtnAnXhToeWlBGBuUBa3yLqFhODwvQlVZhKM3q8bRm1VjbmM7bvzPGvzzP6vw7sK2bMPyuYO6yhS2G1eO7ceX44sTyrHduHIMrhKWV20DQPtNCfwIySZSCeM82VzAHZoB4R1CddgCJX+X3qOSd2uNTPLYMMpv2+PJXjFN5DCJz7JfofGw71am0Y5XGCUMftgzfeD4y1b2/D/gyrO2nXwZrMYTZP+yHd2XMh+PuyMHAmXFfQVAvwEA/R4AhW7CWkGpdNsMCeOa0KYucEFFE0LJwnD8L47bakQpHirwJSm3z2gOGwAkgbRh2lhoihALVlIJBuAov87laZQ+ubmbGL5953Y4nhqKwJC0i9IkdUVuWGgspKDIcYBP/OVY2TZrQkeiwHCcFE6lABEh43aWacSY2hS+u00Vvrt1FT5pTOOhD1vw4metePGzVny4rLC36hcKBlVG+NrGlThu00psO6aM5K8ArvCYGyCjXHcRR7T5lWEhOsOCCuOTXGcS12Lcbk8DR9/VgLfzoFyMHVaK+y8YiepyWoOO8kOQrGEAJeXA5B9n4tItwOy/A7OuBtpXEv4b1x3bjoW9rJNx3abTaJIcm6RNka9c8rh665zojKZ8cFqm96oHBKXjerOgVE6heQ4w60LgsyuBkV/v+HrA0se7VURleYR7fzcO253wMT6em9tNgBmL2nDUbcvw4LFDMgb6EMhx03iNfdd2+PhZ0nRtlzXJY/GBcIGNAgmOisYS3xo9IIUf7lyDH+5Si9c+a8Hd76zBUx+14PW5LWgv4Jdecg1RBEwaUopd163oUPjHl2NyfSnsRx86PT4oC2NeDaiX5sKWLemkjJPrNgSJ8S9OKNM6/JzkFwssbyR4Q3GSBkhlWlbmlU1ErqveEtoYBJR45yLlkFzDzaDyn/mo8AaALceSSiVlVSmLaX3jPktZmNNIkOPI42v6jwAUAIrCANDvAdBLkNzsra1DPv+pxWvETyOKXr7IEQy3HFGCh2Z2t+W5hWfmtGLhqjSG16R0IqcpGyHQGIoUxhx3dio3myDAu4icViogLAyELm7yXO4j/5nbKYUOWVdQUBS/kkEmZcMdd6kAyjocTxUSTpJ2WgGj43n8wBKctmUVTtuiEoiAxWvSeOmzNrz4aStemtuGl+a29qmvCuQSBlZE2H2dchy9USX2X78claWRWKsswNO7vJOBx5cVUETOjwPJ7jF8JT1xAYWeP4RP2v0TEk8i4LypK/HgB7kXvmqrUnjw/0ZhtP38FkME342ez7lOOB6oHt/xPvd+4INLgKa5mbxJOVGG/oYut0qOHLCSDRKyKUwKzCl6TnZxaY65LnVtE+2x7RVRTj5HgYB/3ljm6w1oXQLM+WPHnQA9gPpBJXjwknHY4eRZaFiZW431sQ+bcfajK/CnfesCfMi48ywVGQ1Y4JfldcbfZTlcZ6LwUQTXwzQZcI3ZMZ5vPbocW48uA6IIDWvS+NfHzXhqZgue+qgZ0xYUl4xVWRZh0xFl2HuDCuy0TgW2HVeGuoqULi8xaIZ7+27jQx6AGu+XvFKLY+OBhj/ZFF3GA86nHftyG5vBCf5ChZRvZN+SNkm+I/kX10NxsjEymMfL8kFRnPPLfQ+svZXNBq98UlgDQGVphCn1sZoWmhdtnoOyV6AinhbHU0TkJzmgrEQWUlzQbwDo9wAodBPWCkphiEAK0M6BdkZANPAYiHEU7C2H5wOFugdpA9zzQQu+9YVKUlKQEehTkTtOzlgojAXwiWZngq3MF1KUs9XBRwXYddcph5i+/NShZjDQdu7kroV2mY+Bn9cpAz7OaAxDMlw5LqC2GMC7hMZQIXG5w6pS2G9SOfZbrwKAQdpEeGdhK16c24YnP27Bc5+2FvRYytpARUmEHceVYfd1yrDHOuXYalRZx10fchqSd00SojF1dgJ5HQjEdHDSuLhgwxAh2fpy1pNShg2XO9yhNUDr9ro31+B3L+b+xv9UBNx6zghsvg59Usl+x1q6icrvtZfXA5POAJa9Bsy4GFjxX7ev4PyE9M6ZUhov/qQWl8PpI46gtrVTe9utwK0QeLlGJW20Yc76p7XIEEVUF41PMq8syBvfu6Az+tlTSPech280sQJ3XjwWe3/nk5zvWl/20ipMGV6KU7eu9pVAu7aMmBzPRRyZ+ensThgJ2phLry1tDTqfl43bohq8CbmovXWVKRwwpQoHTKkEoggLVrRj6scteOqjJrzxWSveX9KGVS0hYaP3oKwkQn1NCusPLcVOE8uxzwaV2HhEaebSPsDnXfylIaMkSngm4PDvZKhEWrtuLEiao/F0iHivbkGTZT86A6nsOWTF+P22PJvbx2FOeURf5BeFYEQ85XECCGyfLT4yjwr1IckrApWvF0z9sAltBRYjNhtVljlrH+KZ2pqWoI4B3PmRPFDWITz6yvo9AHobiuIrAIXXCLsIxe4B4Lng8Kv8RJ0Ms6AJg5boalZAIVSOrE5hdG0Kc3O8i9JduOO95g4DgCOERy5jAHwhSx6jsCAFZ/vrMVrREEO/kXiXEBLEWfFlRijjnfaKMBY4Ott9CLkxSqFTCkRaf7R+SRzi9CkK0D4TlPXXAGkgBYPNhpdis+GlsREowtI1aby1sA0vfNaGFz5twbTF7fissb3gDF1CSQRsPapD2d9jnTLsMLasY5efwZlTKAKACfzCxREfQTKFsMAPiN8og39pRUHhM6KO4SDSd8CzwHNzWnHKQ/m58f/Sk4Zi322q3WMs2k62RzMBjD0MeOscYP7jSC7qS+IFnTVwb/mPRFn2WfuKi1w3jmBMtFueAwUyykfiFUDlsYKp9ZcDNWGRjzUwcDud9rpFqn3sA7DnNjW48oej8K1f5/7zgGc+2IANhpZi94nlLv0N0dsUT34McpdXhvE78yfnU27xu8b3JT3mNGzwAdzyvXCB63G9Iwak8LVNK/G1zTp4szHApyvaMWNRG95b0o4Zi1o7nhe34dOG3B7tiiKgviaFdQeXYpORZdhydBmm1Jdgcn0ZRtaWOLpnps3UJ4hn7ZI9OY4abmvrKalLzC/zbVtnV9eL5m0g++fVHyoLbh+lUs3pNBd0fra8BQJHLA831PZgQ4X8IteETcOyntZ3NoAzX0rmMbN2bntrdZY29Q5sOYaM1TyeoOdsuKfJoHJcQvyZy5NfbUDHMMmvbxcTFKEBoCg8AIpGqy5CBHCglF1BAWQIIFwBFYgJMAl/jiBC4Sw4tBt/B08KGBGw5YhSzF1Z2LF8ek4rFq1qR31VKtMPz0XOuP3gcADJJTQsdGezsjP0RAAIAadnIU6Cd/ab8rBxiHdxQi6KoeMG9j3BA6X/kplojEYTqJihdWV8NGYn88UC1JDKCLtNKMduE8oAVAGIkLbC55I2/GdBG95Y0IYZS9rxSUM7luf581YDKyJsOKQUk4eWYPKwko7nYSVYb3AJKlKEoxK0sTXiOYR7IVyPlETOjoyiHfDOllM4BG6JIrgPybut00338bJ2HHzHcrTmwUhz+lcH4tv71bluq5Hx3eCtQGshQgdd+OhqwNB9BFIwt2vDBmoKuk0n80Gk4XQGyLjNIkPTkvkQgizTOacPtG7l+EvDQGgterQoUuJAbRNlabvbndXZC3DKQYPw/ifNuOTmpTkttz0NHHbrMrx0ylBsMJRELWdHXShtchwtpJU8/M54xvTEKOmdOKpPhoeO0qk0V3lWPEqiVIRxg0oxrq4EX17fXRwrWwzmrWjHimaDxpb4b00ajS1pNDYDK5rTaGxOY00bUFMWYUBFhAHlEQZUpjCgIoWBFXFYRQoDyoCxg0szxtTO2q6Nhdanzt65Hnm8BxTn0ACSS/huIOe4hUhvf51dc8mXTXj+NQjNI6AfDZDKJfMkBuY7yfhEmYtinQL41bjjmdAp48s7iTxAlUhemRRE+aRHZRy+ps3g/mmF/cIVAGw1rjzT5JAxPRSvnfeX/MiCJmfI8j2ZtGMTMh9f6OkNKEL9L+e6dT4MAE15KDMvUOweAM4tnNkYAaAQAqEIas/Bz0m5RPSLo0rx4EeFXUz2GMApm1dlAiIg4QDSzZXjrOEkit81gd3zKACVB59BSxdqcBla+ZTWKO9aHAsKXI+tiwVCTannPmjhUgCVLokaGPHL4c44wt0FlXk8xg13nLVnT7gjwQoGKQDj61IYP7Ace60bG1NjptnYYvDe0na8t6Qdi9ekMwJoi0FjIpCm0dgCNLak0dqORAAdWBFhQFkseJYDA8pTGFAeoa4ywqRBJZg8tBQja1OI5BwoDNXrAzNxZvBSSeV4iyParo0UkJwxNGKeMmOXCJIsiDmm/4iUFkW5lC6XFmJ3+BUtBvvfvhyL83Dj/95bVuNPJw1NlndH943oP40JkGmziTrGJd3mjq0z5vE6VGkp1SnxtZ3HGJkxlWssucRKLC47x0meuL1yrA3lT3CCEUPkkfgoccJxDae5BhWp4qegV1obCwS/OXMEPvy0Ffc925jTcpetSWP/GzuMAN5N8YBPY4HM/FvlTzP+2rzSEwUIC/ja+GaT3TU8gFJOUKkwSr1GVyYNUFsWYf1hpSJSabulRVw/t5f5jPrFGcZZgcMqH1HCOgM5Hhov0/JoxjOPPnB+wa+ZR4c8TaQXJIcn7dVotfIeiV8t3oJ29wnjmOy7M17G/eXynbmk9juGSgUX2aAAN+6RGU1YWeCjKlVlESbXl4XXnQ0zyjOgz4f9lWuGIXRUSKmnrARoKdI7mYvQAJDzCynyYQAo/LWZXYQiRAAHSuUur/acCLKKYKkZAaRQZsOlgYGS7jC6FJUlEZoKbAm8/b0WnLJ5ZaZhISYJuOPC74kAYDL9ZIXeI6pCcI7gv3O4Jlzwc3eEDVUwojBPuREClRTsuT0sdGg7Dtovp5HPtmx2e9ZchWX/5LMMYwGA47TPGsq+EaMbUB5h65Gl2HqkQhKlMJa03dD4s5ARPztCiPHPRUsB1OlfHM5tXhsBwNaXMv6lfjBu/7SdhoheWBBNmiqEKN59kp/OtJlij5t2A3ztngZMW5T7G/83GV+O286u77hHQVNYeYycMTCZG/wlXVTwp6MsBYk1w0donXvrTMZDmWPOg8DFYPFYq/hh00fuOyvpUiFh46L0KEl29iKlLlGO594s6KNcr3mEkhRw089HY+dTZ+ON93K7h/H+kjYccftyPHzsEPfirBCtd+h0gMdrYUaMu2OwgRueEvgs5xeEQwy85jWZgvsVmjePL9lwS0ONnxYR9S/ujOUnhp9B+Entk8ebknYLhDNxmEPbOEmWsQn1VfImidceTyBghV+uNa+uCFlxxDEQ0TpPPEYEL7d5teMEGm2SfdLi5BE/r61KGR5+wp13mU82IJHrHKEnE2eB6OXtfcD9f7NRZRkvX8nnQ/jprE/44+zhs1JWZ3hNY95xP4GCc0UARaj/5bzB+fiSY1EYANrb25FO97EDwd0ExwPAYaIEzs6A0X8tSMLPjCMSaYyJzwQbVJZE2GFM4a9+eHpOa8c3w5kxAET8swGNiRUCeJcrEaSFcMYW5CRe1M/vlpFz25xnI4Q1zieaLGkvCxHan+xuiHazsCRdT1UhCpmxkrjG8bY8jTFpebKBZHQyThMkUkoeOT6h8kDx3FZDERxnkNnhtfjj4ZBx8yZtDgwQ445l1JJpS+FA9kEq99xvvhAvIB9nhEdRvjNucaOSvnDbI8KbjrgfPdWIhz/MPduoH1iCB84fgYHVKbcNBgntckAKkzYdz1uSl8qwfbfjZ+c+2eUyDr1UwcNDgSch/EzDPZ9pKK+lRY7AK/ppy7c7zbZ/QMYIYfuVVsoA3H5LuiHHhfsLGWb08F6CmqoU7vvdWIwalnte9uRHzfjuIw1uoCacy3dnLm24eGeQHgOOkdVkaDTjIefhtCH+oLWTIaScdDU/l+O0J/J3wEP9AAI8PyALJe2N6ZZmFAfFazRWA2+nW5Qr8Z3prqRH2erjtSeBNzLkvHJf7fqTOKfJAjZco6GyL1y2TMd/oXGVz06bs6SzbYjiB2NiWhkXYuU3RwaLsLrN4IF3C+/+v+UY8fk/+Sx5guQhMo02vhIXJGSrN0Lnnzrtw1CEBoCcC0n5mL6iOAJQ7O7/DjCD8D4rBV94gAiT33u2wLvkUlCD+77HuMJ//dEeA/DAJP+IACoMxMazy7IdP8tEbHwiHNN4OgJHnMdz21UEOYdoR86Pyqg1kIRf9kljDpyXf9OiTZqwZd81hcaOhdz9Z9yTyhGgC2whYVftB82pJlSkRb5IxEN5N9AZowORO0+8Y2IFDzt/ybhafBFcOWl7CG+EQC/76wkAVnjzq0raKAUAHjspZNiyRPed36ReOw4RlWWcvvz51TW45OXc77aUl0a459zhWGd4qY/LmhBu/9rjObCKNfeZ1zvPH8+rNq6hObHlpZW0tn65TrQ5B6VnYFxKyjW0vgPrnMeC67a4J4+aMEhjgLfWlfqcum37lDwh+pVDGDu8DPf9diwqyztd9N2GK19ZjYv+tdLvC683ULhsQjYjtuMSLwyzMp2R82rDRZlMP434lXSOcYv75OF+lmdNSXTaY3SjhEa/En6p4KBmLE2OCth8NE7ZUMGhmYKuAIIX0Lvsq1aeDJNlJ/XCpzccL721bJme7BGoiz0HNH4ckksceigKDvH0bO0J4WeoDOeP5tKOCfNGKuChd5v6xGeFtxqb5c63bLgTShv6lWH8rMkHAVJTbFCEBoB+D4BcwefBANBihVXJ+Cx0tjg95iwYGCty9llT7qIIXxxVgsqSwlODO96L14hkHBrR0xQiZhaGxtdRwChxouTBPSfvMb7IfU92woWwlghcAQovBQ3b5pAAAPiuyhDpOuN12QQQ+S6FS951SMojIYjxS9t54Hiv/V1g0iEhNNnZDfRHClZaVTaMy+J2RXGi5MiMYhhwBCptkrL1XTTO1uflp/ZmExTtb9IvEcf2Cm1sPMHNCpgKvgK49s3V+PbjuT1zbeFvpw3Flzao0OdOCoasIIQUIf5NjAN2/pAZD6nQOwox/XlKrsBHpgGhvJ0J3nJuPOMjx1NdEUjJN37+CBlDiX2XKCzHTPIWZ+eWfrlLNk22XcY8wDYbVeGfPxudl7J/8lQjLn1B+cSlXJfKrdvBS+USPLbvCm5ohn/A5+WS5jJt4/mwOCgVcm39JH0yLt3QFHGtf0kflXAZz+9Zy4xcQxjsr6RZYq2xpwy/Q4Rxvmy8hsM044bWdikfaAYabTxsWjEMjjFAA55reSzSlu3xMltvoNCuGAS43U5b4Y6nxKVQOTKtrTdy09z+38K7/1eVRdiwvoubaprRSIvX0mTDt5BxhZ5bi/T8P1CUOmC/B0CuoAgn34PmdgiCKIU6SpyNIWgEgi3jUiHzdg4Mqkoj7DC6jxwDWJMOCxAyTINgXqMIDfSM+NnunLGwwLsRcufEYa48rkqbbDrHNZ9+NcIdYooynwaa4KUJEzINCwfZmL1UfuROVkio0HaxugLSGJFtjYTCZHyEzOVqUokxoN0lipDzZ5SBtmHO8In+JuNrxzDy0/Aab5d1aB2ifsmx8tzNRR1GiePyYrh5WhNOfig/yv+PDqrDN3apddcme7UkcyLbaPw/TXiXhkNbnubVoghNmfrEM7c15G7vpIerjLFSr+XX5ka21dYv59K+y6MNTv1wvRa0LyGwB4Ks075Lj4hEQRFrI2388nIER+wxED87aVhuC43h7MdW4C+vxkqGdBEHXHoCEa71U6PDEted9ELh18aW02pGWac+kddbHyaTj41Isi8SJ/g5xMNsGo2Xafguea5WVgLCeOoovYbKEOnsF5cSPh+JdokxtBGeUVGsI6e/rHxrbUfYAKLRIQf/okyY/XyksxFE6aULvVOfaJBDp7LglCyDcUm9TwbhMWD6Zf/S8PPFsLLV4KEZhVdhvjC6XHGvDxA509X4LqTLJhtF/nNrkX4BAOj3AAD+hz0AysoK77K+ttDSDp9hWQgR+xBIBmnDpHVR7kIQEd5jfOENAO0GuOf9FiHAGp+RaEJCNmBGIssA3PL44hbQM49hclkTMUEryLJQbdPbCm1/ksv0hLAQEmq0/kmmqeEA90XuMITq43bZZ26HHHNnXGk8bBny3gnpZaHWHYiUu/FefJZ+aWvKjoV0sWf8i+C7YTrrSlm3Wt1ylxg0roDbbymkJzvcndTB5/NlfbL9cjzkbjdEfPx393vN+MZ9K7pElroLB25TjV99bbCoX+AUK6i23dxOfk4UIGR+5fEA+WvBrmMPt+GPmW0P76zbPNJ4Ietx2h33UZ6X1m7dTotfa7w09M5KSLZdOocGkQKRNoDlU/IuAGcnmZTDZJyN3042QFhw5ijLGHUTfnpCPY7YY2D3M3YBTnuwAf98Mz5nrI2rhlt89EIaaACdZql0zOjjoRkBVHrCeGx8WiqPhnlGXbj1yyMiXrugj4f9lUpLBH9cmH9xWtlGx3hBfXOOB9g0QjhKDFXcF1LUo/hBrhdrQLCKNhfN5fMaT9pt6wrgUIg2yXhpsLEgZRLuC/NjwMcRScec/kV+20JGqNBdLVraEDA9AXRcMMCD09ZgTR9w/99ufOz+b2iQOu13NuHPZE8n5Xwo78rYFbMHQElJSeeJ+hb0ewDkCiorKwvdhLWGzPc3TUARU6i/pAMhWsdZmamGmGgU4YsjS1HRB9bUHe+3+G5rkWTE4llTarWxyiZsAS69lePEDFJjalKBlI0w8T9ZvhR+OYyFK1kf980Gyv6x26cmfIXGMMRIuqJgy2ft8qFgPiFEeMJMoCw2OGh1BtsC3Sik3TeghSV1wx87bbciuYQqoqMdcSOk8Mr94jDHG8GGiboTwVWhHQ4NELRHGqJEnoc/asFR9zQgHxsHm08ox43fHtZhG7PjGTJKcFsBV8nmMbcu/Zq7sDPfxlfKLG6wUm8oL6C3C/BxRe70e8dORF+ddWsojQmMRfzr4I8Q6K1RQfbRiHxGqYDTebRKthfwcNaIZy5Tel5o59Cz8boApFLAPy4Yha2n5EdWOOHe5bh9WizT2f5pnl3auvM8iODTYq3P3jxnaWBn42XpkKSzIY8vTVGzCqR6l4xWH9z51/CJ02vlaWMS8rhhhZ7rl+uY24O4T+BxMZk1xEp+YiAU69SA6HSUqd/EGZ0+RGGFOuEJYu3IMbJtlzjDPIXBwUllzbLXQ2LgE2kj8ZvEm0zf7XiF+LE0QPFGjwTpeSn7AuC2/xb+8r8IwO7rVcBDdCkTqh6SoUWDLOmMny0bUNq20LwUAVRUVBS6Cd2Ffg+AXEFpaSlSqSK+whLxEQAAGYbQGQeMwWMUnWRzBHz6dRhixzGAL40uvGfF03NaMX9V2mWKgC48aYKXDdeUfk3Il3lAv1KYkGOrfXJN1i/fLcNkkDto9jdFjMNh1DwGJiNwSKXTsdiLcZPPsq1O2VnSZut7SJD10pKAY4UGKRikKEzbNZF3E2jj6dWvMM+QEmzD7PDzznMk0jh943Bbn8nMVZrCnalVcNoLiAL470h47p/hdxLsABpDuONlDJ6a1YJD7mxAax4+vjJ8YAnuP6ceteUpfS3zOfOkfaBdeiFMZVOUpcJp8ySX5ol6bNpkF53H3IgyRV3chmTIia5lU5xkvsTziNrMdahjI/vLvyJvuwxX1g3vYnNdsu9Of4xblh1L2X4HZUVh2vh2AaorU7jvd+MwOg9fBkgb4Ji7luH+95rhEjtKwMoRkBk753N/VKiHKyJOww0Z79AbuPgJmV7DWzFXgFAAjZ8uSWP0ciwwLnqKnMms2xDPyBangRwfjXZ5ZYX6we02SVLX+GgyxgMqzmm7pf22bC6L16eFNBei9ImfTSBMdM/LK8tjvu/0m8sRfJr5c1qMn2Yk8OoWuCjTaLhKsKI5jUdy/AnQnsDmo8tQX51yaSX3PeH3NO+Asu54nCLCq3hiknRdXRBumvZ02C5TDFBenuWSxb4J/R4AuYIoioreC6AlLaWgbJSZ08kwEe0RTiWbFLLi6vcY1zeOAfztnRafQCYW58jvowUpJDHjYkFIClYhS7lWtlT2PGYtwBEAIlcQMCIdC+c2T0KlI8ojlF0pUGhCgnRP1NI4Y0d5tOGO4I4bj4t2To8FFM3F1BE+jO/9wDuoDIwTcheDy9fcYDWQZz41XAmBEX8Qv9qOtjRUyTIimY5wml04uTLNeJbgjVegInS5HX3+szYccGcDmvOw9V9RFuHeH9Rj/NDSTPuZloUEPx6ztOiDpIPeHQKiHE4n6wBchVV6G9j6PDd9bhMyw2kVQ7nLL9NbBd4oZRrK5xw3kumVsTIU4NSrIHbSb+P+yXGTuB1qR5LeCCWB+stfbGClkNNmK1vA6GGluP/341BV0RmB7z60pYHDb1+Ox2e2dDQkoeHxhDtr3PbZhOmIXMpyHPluAVsG04kQH8tmzOwKWAOsLcOTHQSN1Wg003PHAEI0i+tI6oI7BtJbx/aZ08g+8jxwu71+UntCa4frtwXyuDuKHFyvGM0TzxmD+J/En6Q8I/qgtNUrW/ZPeddwwTPQUB+9i3+RWa9BI7LI7/Ur8vGH82s8nuD+d5vQ3NZVhM4f7LFerJfYtaqNKz9bemyftSOSHn+gNRMkJhLcxdBazNo/+j0AgP9hDwCg+I8BtLTz4tU0Dsl5NO6uWZu7KOgoSsIXR/WNYwB//W8T2qxwzYIgkGEWzDjkzhgQD1fkHycAMswpNNTMGD2Pgy52wqZ1lA1RlhMe+VMndyKY1jtWZYVBJP1gpkn1SkYkGxUSqmScHLeQQOYIABTOuz5SUOX82drDDFHuQmiGg86MAto4qnFchyiDl2YIZzRhQJIDm5/bkaa0nkAkhSTFQMR940ZE/gS9Nq8V+9y6PG+fVrr2lKH44voxM2eFkxVtVqDYvV4znji/tC6kUhK6ByCpR9IdLS2VZ+J/vBaNKNOm4/tfGOflMReJt3IK+D3oZku/kt4Zkci2ge8VkOPEdJn/kvYqdXj1if6x4sB9cXDeuPXKdNJQQLDV5Er886f5+TJAS7vBQbcsw7OzWzPrzTbKMwQoyhHjOt/VEKKVDHJOk7Lh0ogQaHWEQDOe23eHBwn8ddISbc5mJJAgDbt2/BwaK98Bj3fb3xAp4zjbT03K5nWjGVfkIFnDBt/9A+Pjg1SiE55odMWQNxQMp88CWt+99Q1/HBikQVXSMJlP1unQdhqTzvBCO54Sp+8Lt/9HAHZbN+ZlcmwY2KPN42HKGET0Z/k5z1mYwMKfqI7MxXwBINDvAQD0GwAK3YS1ghZrrXQYn7L4s2pGTP1BxIB/GRTBiqCvHAP4bGUa931EBjOv24IhsIDlKGWaAEDhKmMyrhKWisJ0tSvAZclpdBRp43sQ8NRbAwbPMV+KZyiNTY9A/x1FQDBzR+FRBBwrJGigCQ6akBkSHuS4SuYYKsNpg3Gfk7GPMvjh7LoaGgNak946FOCcB41ofgK4xaApMDy+IRKgjSmnlWOX9EWEO7gixivJY/Dfha3Y69blaGzJj7Dw44PqcMyXalyhUfYnQsY93TPuwMVhzqPhh6QJckfOM8BRfos3so3JMQ7xy/hkJ48//WrXu/QKYbf9pB3G7498TtIZdzwS5ZLq4zYn7TU+H5J953FhnHRoErWDx8S217v8lsaK6TrTIptG3u/AafgyQR6TGA7fYyB+cUo98gFrWg32vWkpXv60zcWvxECnddj+RLQOmR7E74xHwcv83OwOyPmW6bPhFeOmptBpa06Cdgwt5Cng9IvHkfNyGNdP7xYnUko++6wpZtqYZgOZLkRzZbu0dlrFzvJtNgxprvVsdJbGJBi3TU5fjN8vQaacMF53nC+k4Ds0QaRV6yGcCNHfVCR4pXHme/nqdjz6fuFVly3GlGNodayWafMv50R+LUSbs5B8lpIZ7CsnjpS4DmjtA94SawNFaAAoCg+AojgCABS/AaCZhV7PXYgWvWUGkop4zFNSDw5nghCSGDqe+8IxAAC44i0i6A7zFkKQZID8Ky3GXEYoDtB3dG07BF3NOrxRljjQr/blAVkO9yuJl/2mZ6lUOYq/EWWRICK9KzivJ+ggDLKPMm02oUCWEUF4UiAwVsYfX3lvAM8F4wCPTWinThNOsyn82m4GqF42LkkB1YL2LXqbRiMBWt8hwpNyDSmtbmEzlrTjy7c0YFlTfgSFg7euxi8Or3Pxlc/h27mSSh8ofZKYlD/pJQA3WcezxH8lH38Gjy8ClEdTuAxvvVJdhtqbpkS2bgncPS7HtiGkAHJ6qSQ7SrboJ/fb2fWncZF1SuOHrcvArZcNLRZv20V+r91ifrTxTspjekX5Bc7/5LihOOrL+fkywMoWg71vXIr/zG/125e0mfsgGQiHd0JTkrVN9MzKCclYyDZQmKQToOfOFGVOIw2R1qiY1Bvp6yWo3GcxDHB5Gr+XMgKPU2d8GOgo1+7Qc780WqIB0ypvOrOsb1u3XFuckL1eQM9yvK0RQdKWRCk3+hg7PA7ueMqx5fYzfrHiL3FL4hWHOfRN9j1O43h/Uvp4vu6b3tQndrT3XI92/xl4LTIeskEY9JusJSpD0k+APAi4HMYHjQ52JOwDH0tYKyjCIwD9HgC5hGI3ALRozALwiYUTESmEgBkHL3ghAQQXvBvRV44BPD2nFe8uEd8pYWYgwXMPgytYSCERFG+fpaueJ3BA/7X5uW0sFMn0UiDRvj/PIHfsHMEuABozsWfGE0Zr3HFjwdk5c2fHzEBl2rLPUmgICREsHGlCmRQgZFw24dQCK5XcRh4PCZrinjBdI8YG7nO2c7CyLvY4yTb/XvvoV+KSg29CqJJzxYaOROAweGN+G3a7eTkWrs7DjX8AvjChHDecOjTDwLiNift9HMHr2ED51B11wDHwGLS0GHw4rxWPv7kGD762Gq990IzFDe0urjHNNMb/VJ32HW82NoDK4Dw85vKP+8ltT8pCeNfW2RU3mT9JZ7SjEl4/4NMtwG+7NGjY9oPiZf8YB+0vz21c5rKV7Xh3ZgtentaEzxa1wchPU9l8jKuaZ4DztQelbwaIUhH+/pPR2GZKFfIBy5vS2O2fSzH145ZM2xgcOi+JnX017rwlhho7blbxlwMdxXFRhj6x4ocog28pEE7IsQzQDG6qtiY02u/xAWVMHAVFRDLv1S4ZVA2cJhNnnx2PL1FPguOR21dtvUjgMJ4rTeELAa+vpCzRFgbPC0b0NekfjZ1Dm+ycRHDmy6knEvhGeUUyp49yPLj9HJctTD7bslQjTkfC2/vA7f+pCNh1XUUp1cYkkUHiAGm8kLjDfeZwQFmLYv1G4i/mNX3BYLI20O8BAORjq7bfA6CXoKXN+ISQf6UFMC0Zt5aWtBuNETtKikZlDapKgC+NLsXUOW1r18EcwJVvNePy3ardcWAFjkEq6XLskryCKUrm6KRnAcP4tzdb5puMvajTpjfUYNn+tFJuyGhg00vFDfDfJeNw6qN4bRySeuQYiIqS3RXZaG5TQGhL8DbS+6zNuVd2F8I0IwHXoRmU2HVUAxa6NIOS5mHChgHH8yDyDRHaTg3XZ9tv5EDBVRolDYGIU87IPvxhC464bwVW5WmLYNSgEtz/vXrUVETuXDG+OvMt1iQiJzh5jjroaTsiPPjKKtzy/Go88MZqrG52+xFFwE6TK3H0jjX45u61KC+NXHxjmsmDp9Fcgw7hLVlPcSJ5mZlTLhScFPTZJjTK2uD1LNc11+kI7hDuppTWrkGJg9oXTlhpNPTcDloHjLeM55k0Mz9rwXWPrcCtUxvxwaeuXFRZHmG3Lapx1O4DcciutaitTGX6x/SIDZOqEU+8xMmryiPc99sx+OLJszHb7tbnEBqaDPa+YSmuOaAO39i8KtOWCL7LL7fToXc04R5O2MREe+RYSAXXgnWllp8gTepFB85JRcXyPpsvRFO5SNkvD4fg1yPLddaiAtoutuy/ZjjQ8qjlUzr2hgPEF3rg9zMEMq3G6zWDeYJDJNvJ9RwS6wDXw4FlJclnUtTfpPi48qTukPwh4mR4V1lKNnwScUvXpPH4B4VXW7YaU47BlXJ8RL/511kHythIGi95FIcn/Bw+HsrwOKLYDQD9HgD9HgCFbsJaQYvc3WHgmZXEEFCEVZFAMswkvcjg5IupSATsPq7w9wAAwPXTm93zx0zsNIKpCREQYTzenTJrkUBedKSdzeN8WvnyHF+IQWj5DFw3RU1g0vDJlukpVwpI3ILtM3RhipV/FihsvNYvg0z6ZLeC2ycEGilMGP4VZcs+d/bO4ygFTslgHYatrDWb1tslFXhjQStHE3b5HG0oP/ePd4NsO5K2+cXbfv/ljTXY/66GvCn/Q2tTeOKH9Rg3JIXMzhwUQRL+3CfPJrOTyX0ywDPvNmGrc+fioN8vwm0vrvKUf6Cj2menN+HUvy3BVj+ch1c/bHbLN3Bd3nneuL0sQPFxgQguneA1wHcX2F95e75tpFXonB1SSqfxD891n/K2i3JCng2A22b5px0PsGuWywC8tre3GVx801JsdPwsXHj9Ek/5B4CmFoNHXl6F4y6eh3WPnIm/3L8c7dxXeUwE8I8aqPQm06ZRQ0vx1GXj8/J5QABoTQPH3duAX/xrZULevHbYd0nD+SLA5F3kYfxwFHhBDxyjmcm8R1QGxJgxvXfq4jZQfGhXWPInjV9lg9CYyXggwHOMPx6cPmQUkO+OMSHOK8+ky/bINS/HQT6HcISnV/Imjy6KvDaDXK+Sb9r5tlmS40liTSX4E7npbbker0Mmf2KcEm0OGXakjGJEHI3hve/GF0YXGPZYr8I3psjjhwyy69raCOGETS/pB4fZ58DY9IUxWxvo9wDovwOg0E1YK2i2lyFpll55czwTAOcG8EB+IGP543BDkYLOc7odRpb0iWMAjS0GN0xvyTAMj4FAF6rkrxwvaVEOlSHftQuNsilwlvDLHd+kLQqDkAKcZ7wRbVJ2cR2hQV50FmKsoTDtKwZWIGABgNvDgiGHO/1FZmxk31jAkoJPbKTK/Cr9l+OQ1GmUcGTawngicc7mS4Qk+OPp4KcRipHbRU8o0M7Cymebj0GLt2NqBTO+YEkRNNJp4Ef/WoXTHl8ZPGGztlBX1aH8bzy2zBeWJY4CCu0S4VRGa9rg1GuWYrcLF+Ct2V3ns+/MacEXfzwP97y8yqW7EgccfKZ5k2tP++M8thyN/gQvEERmjGBEmUp+2RZ7pEHuzPG4a5eLsRGD8dpJI+qzz87a7yijqTmNr/zwU5x/zWI0d9HAtGh5O067ZAG2/Va8W6/dVyDHwz7LPhpKb4BJY8vw1J/Ho35Q/hjdz55ZiRPubUBLCE/su+XV9jkScaA0icGY+msTS+Uw8l46QN6fYaMd2mLcrIwHHihxEjelcYZBO94WqEblzSHlKqRgZgtn3NHSsbKrGfoAkhNEu+W88y/LJzIsG4TS2PnSDKsyzHu2c090QzM0cX+co4XMbyJRX5womwwmx0HOA+HLrX3g9v9UBOw6sdyn2VL+C+EUIPov8ErS3xAeyaI941EmTUuRewD0GwD6PQAK3YS1ghbeyUiYbxzmLPjIVVqti5ZGNCUxkMzEgjy/mZTREV5VGuFLo/rKZYBNMInipSQICQUhKzKPjaYUeWOi1WlcQTeUTlqEHQu8ceM0l/KQaxhDZ18psK6K3O+u9hPQqQyXJ0HDNw335JleaUSIKDwtGhsStjiP2ug4rbb7maI4bVxCApwWJ8M8g4MYA+nen5yVFn3RhFMpgIaMB7ZeMTRN7QZHP7ACv30pf4JUbUWER8+pxxbjy32lkemf3D3iNWagGjSXNrZjr4sW4q9PNfaobe1p4Kg/LcbUd+JzpKFLFwF4c5+MKa9rLQ29J8oQ4zYyz7afGj1Pc8EgpYrDRAcjSmt5Dq/BpGwT2G2Gv6b4iEy29sbP7e3AURfOw1Nv9AzH3ni/Cdt+azZemLbGr88ZG9AdEZLOUHvj9JPHl+OJP47H4AH5MwJc99YafPWmZWhYE7fLOX4VJ2LXetkfUDgr4kkZxp8z/pUvHmkkPDS2Mm4MfA8ixx0+NjZamsVfsQjRJdnuFIdzX0VTuVld4V2BIQimDx0FAPxxVr2xIOi1lg6Z9ofuF2IDo3Y/R1f7K9ekrbuz3V+tLYYCme5IeSYlx1CuQyBjdCLZRZVV4/IDxwc+WNKGJz4ovMqyzdhy1FWmdJwIee1pGz78Hokx0uQAwDfcScNwEs7pgdbCn/BdK+g/AtBvACh0E9YKmtslESDuphF5FhbsDj4CQhsCYfLZvrMratyM3cf3jWMA7y5tx7/mtLpMn581gcCmAacxukVe5tNkgCSfcfN51voAMednTdHn+CSdrU8pUwqzimLnGSm4/9oOtlTqszERLY0U5hywuwBKYVp/IxsAElykYMXtkPPCwoaoQ7pkJsKYCMu2ZkKg4ZJWl5w3R5mnvNx+qbTZcPnuCJXGV4ConiVr0vjyrQ24bXr+yH5VeYQHvzsM269LOyQhV237LI0a0tAWK7Krmwz2+e1CPDN97RzXWtoMvn75Yqxck3bnRMNzuQvttF20W1tP8hx4QsfEPGk7pokAz23j9CaDy9aVXK5x70sLAZol17ZV7Oyfc/EY5UnKyTz+8a5luO+FVVgbWLisHXt+fw5emb5GVCTAU6TFeuDftMHm61XgsUvHYUB1PsSpDnjq4xZ86e9L8ElDu2tg9AyD1HapFPOzyZI/W7ihuGB6WUkMKRpUAz/eSQOiPZIWizYwLgP+/TS85ixIXpXNGODRFr/ZSXs1w7F35wql5zTZlDoun/vFCiLbXVj5YyOdgYvfyUV9Sh8dvgqfx4VAG5/OZC3ZTxCd4HYmvNdkPJpkPm8eIsWo3/H+57WkKbmCzO3/Wead30PP8j0kI0pjWjbDlU0jntv6PQB6G4rCA6D/CEAvQYu9OIkhMQQYIrLMIE2GUAJwKDEHS8zojgAQGwJ2GFmCqtJOCEsvgfNJQIAEAJMRei1oAoCJMyXGEqPEwyeUPF7ajowGndFVT9GP/D+vLcQY2b2bw2Ra206+4IuFraCQKNIIXhzsX8iAwGUqjMh714Q0bX4cLwH4/aallCnH6BcuAu56k0aCrrRPC9fSZ3uW7177oeC70lYNHxxhM8JHy9uxw43L8dynub8IzUJ5aYR7zhqKXTao8PFeKo7yLLw2niQIptPAcX9dglc+yg1fnbusHRff2+C20eKCnN/QO+jX8eKA21dZhjHwlHrpZit36NW7A+ALy1yf98m++C8xCog2amUk82P8PrDRMU63cGk7LrxxKXIBa5oNDjj/M8xe0JpRILjPEn+8NsOlF/F62GZyBR7+/ThUV+bPCDBtURu2v3YJ/rOgFY6S1B06CCjKeiAvIDwLqC6p0IHShQzgko6yIME4YOvnowqgcJueC5V9lkaxROGFv+GhgTZ2Wt+CYyyUfo0Wh+pNno37x+XaeCcd5Wf5Rhq/HR6exbgCESZxQ+tLqJ8ho6eGK6E4zYBvwx2juFKgvXfBrl9EaGgy+MfrhTcAlKaAXSYGdqNDBiXpGSBlOM1zVCvXwyGjp1Ha0SK/tlJkUIQGgKLwAMifNJhjKH4DgFy04peZTwLCYhwiDGnxnlh/6Z0tyTIMHccAvjK+bxwDuOfDFnzW2O4yy4SLKAoz5LhxUuPmYQYky+EdiM4s6EbEG/EXzBcQFDShgdPLMPuruVpqdxZoh70TBZnGhJVsLhdQlOdAX7ONgSa0yIIcIVZhcgAyZw0jeIpX0n85DlRe0sa4MaHLrexzgi8mvCMSGjO59rTyOY8cO41keEKb7BeS8Xvps1Zsf/1yvL80f1JAaQq447Qh+MpGMZ0OudZr7vAMdl2Js/OXPbYCd76S22MLf3pkBdY0G18QZqVanvsNKeLcFfbCYTf80LloI/JI4VmumeC4IjOu8u4BxrEURD+UuXDWGnxayDzH1msM/nzvcjSsyt2NUwuWtePQC+YhzcbcREF063YuapR956MYAHbctBL3/3oMKsryZ/SetzKNnf6+FA9/0EyKAGhsTYY2qK7fgl5JwiPphoWu7vxaHGZcBinyDu4oxI3jk+iAlhiJOKajGi20z6rcA9+LUWuL4TLEs4234wyRzusX56P0XpzNaw16vJYtraG4BI8NEqN9tq/SSOOO1j679m1aNoYwnoVoimZUQCfxWntsJZFI4xncI+H1ZcQYG1z3xmqsbAmMSS/CtmPLMaCiGzRDU9ZtuPZsIXQXkDTuc1hIhgTQlq/LfnoJivAIQN/3AIiiyKBIvACK3gCQXDgVCSIZU2dNsZACgHa+SAONoGhCZyJkdPweul7fsLK1G+Dqd1rgjk3MRRJmYsdGSACeABAJRhgpwmv8budGEwCsEMlh2tcbNDprxJ8TbnzmFzgDl7TRpuNffrZChHQtlOm5Hj5/z581Y4HDCiuyn9w3eZmf134lL5DdJZ/DE6E3g7ceqMqMMAJxJVwmCydOMcRcBcqp8xqJOC1MFK3ml2lsnFRYPSHXIG2Ay99owm63NmDxmvxdA5yKgBtPGoIDvkCfQdP+OjOo8VoDEgF/3rJ2/PSuhpy3e1WzwaNvKncBJG0ySruFMMd0FJSWlZPEdTeCs5YM4BlKtFu8QWU4NJuapSn7ofsUQsYZi/9MWzzPBio3DW9Ob/9Xz+5myAavv9+Eq+5bnumHY3ihdoXGtx3qmt5jq2rc9csxKMuj59uqVoP9blmOcx5fgSb7KWBN8fJ2i41La1RljegX01GmBXK8tF9bhg1knAgZubzxpEE3snDqk41jJdg7Yy5w0P56NIL6L9vjXQZJ68imS4wvyHjcsLIqx01T+OV4yE/vSdAMGhbYc0/zHrD18rn7RLZRFECeZ2eNiHDZN6c9Wjj8/tsyVBlWppPyja1HhMf9aW8H/vxi4Xf/AXL/zzdo8p2Myyb/i7/+SwB7HYrCAwAoknsAit0A0GyFEMeiHz84Sj4yCzdZ35KpCCaZhNk0UeY3dPGMU15HHesNSmHzYX3gcwAArn67OXZbkoybuJbDvMQYJS6j9g9+OWwc4DO1LIzYeqTgBgrjuNAFRxYiJbwzC7lkitJ9TBNGFEaqC1Xxc/K5QftL6ey71h6OtwYWTif/ZJzMn41PheJUfIYQPuIB57E2cTjPI7ctERDFuLFBiXHQ2ZnR1ij8fmsg2xLqr8b/4/I/a0xj7zsacNaTKzsUjzzC348fjCO3qSLPEUnjCHjnzkAomMadm3j8f3R7Axqb8tOH+15b7e6AO4ouMnORhmg7pU/OyMeFOjhBfdEUHYi0Nr+jpAf6LtsG2UZRl6SN9pn7C84LXaB36s/M9buzW/D+Z/lxKvzJ3xdjcUN7J+vCuDhlO5FlbPfdvga3/GwUUvk7DQAD4PcvrsY21yzBWwtakfBnnltWaC3iMz11+m35Q0DZ9GQMmZ+qScGnu6xM2zP6qtEiS/khvI1CLzKt5GuRSE60lr0YnDwmQ6dtec5ltPEfaA64/dLAL5sY6nMonQbaejJKHK9hplV8PwfnSVBJ4IiGG056CpOyhZaGIU3xna1TNa+GhBEe+aAJHy0t/C12ZSlgJ+v+H5pTZ7wUXMgVSP7RiVGgtciPAPR7AOTPANDvAdAL0MLfZdb4HjMmVvzZMs8Mwjv3S+UZSpvUoVBkdkuMw/uKF8D81Wnc81FzmOlIQgsmiNRvzq+OGxNpwfBCN0onz4LAa0ICoDNGqYhGIozL9JRTQfhlvpD7obxAzmkjpxX1heq1/ZB5NKVZ9tm+a/mzCkyUF+LZE2SFMSIR9GhdsetrkiduDLtmcjnJHzXYxGVIgdOIfInw3gl0JjgYbjuccbllejM2+fsyPDEr/ye8rjxmEI7bododk2RsBE4xyHGx73zxXNpg7tI23JzH3Z8Z82iMkp03Ma/SGGbby7sqbES0SnU7/P5pNMTW7a1Z8ccXybLhhNNripqzrpiW0RrWaFxa/hkq03S0hy4tm9aNTzJ2F5avTOOvDzQQDxTtlX+2Y3bc2PiS9K3j+dCdB+Cf543q9G6ttYV3FrZhm78twW+eXwlHHk+UOuY3Ap8g+2zD4n4mtE28a8DjZOdW4z2cXnqNhMqDEq/Wb5Qw+xI3RsovzjvLLfSX4DIxF95M4XpsmPWWS2QruIaPEO0CpWFgwxy/d1aOE6eMTwhCBiDtmQ38HM+ypTaXWltlukh5luMXGgcvXWYu/9RHLv/bfnw5assjaq/JtFl6Ploc5DHRoLO1kiPovwSw16HfAyCXUPwGAHpRmazx41mYtoRTEm5J1JNdbehE2GGmcblW+DDArmNKMaQyz5JQFyG5DFATPCRDT+KJQHvEVxYUJ7CfzmMhIrm9n8ugMVc5v5hDh7lCd3NnRTQbo+yMKTvjoeESXM8C9XM1cV5151oRKuRuhCwvKTdQltYfjWFq46AJYXJKNCEqLcItniRu9FI6hMvo7dqRn+uxvykRLhUWuVMcOpunjoMcY/d1aZPBUfc34ugHG7G8Of8M/5LDB+K0nWuy94cVVbnTz2f9AUDZpbjuudVoz9/pBXy0oM3d+ZaX7zGOg9JZkC7XjnBI9Nu59I/yAUr5NE5SMNYuvOP0yWfxAAdvbZhmNJI7ipI2afSG+xnP60dz82twuvbhBhjun7z7Qxp07VyC3rntRJuO3Wsg/vqDkXltPwC0poFzn1qJXa9bipnL2n06KQ21fNeJVN40S6LEu45AuLxLgOQdTF/TIo19juDiYkhk0I6bJAqxqAv0rOEcG2e9xtv6ZD+tEYDCLK+X+M+yE9fPsoR2xE2ml/3R1hOPgyxPlg2RFlp8ABc8b0GT6UeCa/FYZHMpV40cRJ+0Nst2ynRaP0TYtIVtePKjvqGi7LFeJRw5UNu063QsKR0Aj8Y6aXrQSG19A1jd2pPC+g4UoQGgIdcF9nsAFDG0rK0Qa5mQxvukcuYwr0gnJElZxCSMQVlkcNC6feOTgP+e24aX5pHrV2f8nxU4TXAxlJAJeegCJthfsuSysGCFiE4FgDhQEwBsO3l1O4Ybk0mrEXf5tQKnn1DGx6aRfVaYPKcL3T+RGEpIOA1dOKhdQBRqD0S8U7fyHrpJHiI8ZJGXa0saKbz2GKUs20dDQqMioPIY8ZlRKZDKoyCaMSWGxz5uwab/WIbbZvSOsHTRgQPx/T1q0bEG7DqIEdXAVSQ1YAU3beLdZHjKx3XP5Xf3Z+nKtEMKMusybr+jMJvMnzUkpU2H4cKeNffWvwnglfF32I3y5+wCUxtDFygyaF8WsOkkzeI7C0B1SpzkesSFiIuW59fP9OP5rXj6zdWZupO2E97ZBSMVNcdN3GS8AuhrKSfvW4ervj8i754AAPDcnFZsfvUSXPPG6ng4ub2CgTAPgYFnoEpwjHiF04c4QCqEVEXGSNmJEkjzHVSCuVqOY3yT3XTSBYiGQ1Ooz6zkS97JlXCxjqdPJMaR2uDgOtM30UfZZ+3ZBOI0o5xHRyDGU+B3Njojw6Cky5aHPSHZgBC6T8DGM2jya2g8CPrK2f+ykgg7TShzjVcJfyZcYe/CRH7jcTWZdAwa3qjyWCfvAWhoyqMVvRegyI4ApAEsz3Wh/R4ARQzN0gVHY5jZQEvfFWLg7GIbhahYRTaT+aB1y5x7ZgoJP3uZ7FMhIZmFPAtyhwL8bFxm5BkWBDNlJUcaXRyBLcq8a8qfrD95ZcGDftNUBjMNbmtIKFNxQTyHBLPO8gD+Tou3qy8KYzfLpCwaQ3nWNdQe2Q6JAwjERUq4BckbQ4KJJ4TBZeTJO4dpQiUJDp6gR4KVJnhxWQZY3ZzGmU+uxN53rsDclfln8iUp4OpjBuH8vWsz7XG8KoxwFYenKAZxzrm0zmDe8nZ8sCC/Zz9rKqKOqXDuARBtU92fSZBzBD6I+eQy7LjEiKThocRnhx4YV7BOjhoYVyGRRgMj8tjyEhoj6+F3sQjtMQSZD0BVef6ZxtP/WePWbceKjWZ2buSOPyifheRoXkfgqQfU4e4Lx6CqOzd99xBWthic/OAKHHjrcixYmfbXCOD3FfCVBSY5hiISeiszEjKriq9GeCM3WCpzWpisNhUI5/z2TgLZVAnOGjXuu8pDTMbY6hydsbSYKmRDiFXimEfx2Elal/wpdF+224g4boZ8Z9oSwmWt/1y/4B0qaEYAQBgAA2mS+k2Gh2l0HvDHQTFOLl2TxvVv5vbLLz2FHcaXoZovC5U0WsM/g0wiuZGizYE2Vk55huo0Op8IQEOe7tDpDYiiCCUlfeNusi7C0iiKci6M5csAsCZP5eYUit0A4H2H07PS5xg0JqESLJ8Q1VdG2GV03/gk4OOftOI56VqqKXOdCQAG/gV9HO8pdrKMyL0dXzKuRCiIX/miLYcRyHZ3RwCIhQ7t6wP8rjESTTiTwqNsH9ffWTttGs8bJX7X3JyTNPLduMxOtie0djhOu9Qtm4CqCU6Anj4EjsU/sLi5LiMaYQy8xiS7sBHtuhgYAzz4UTO2uKEBV/ynd5y4aisiPHj6UJz8peq4bdT8ZD1QBu2yOQTyOPSoI+0rH+fvTLmF6vKUi7PJkYVAW2WbGX/ZJV2WwbiXGANEvUwvQvQM8NeiDZMX+jnPVLZ2d4Btl3YePE19SpQl47bLANW9oDS/8p7Adaed4tcgvqfB6MYQHuN2JP086Es1ePoP41A/qHeEzgc+aMbGVy3BpS+vxppWonshesS8QxqnIkqYGEXg01tQeqvcJl+LEUoLN0YaHxI8EGm1tls8kvyb2yI9YkJjIZsWNIRQY61xQ6IprwenXBHOxhHnU2wmMxZBPif7S+nseCReKgJHmZbINob4oExroMwdQchrT6tTS8N8WytfGkR4vrSxB3DNq/F66AOw56R4B5o9ixKaaGVDGmzHO4DlRpuGDMdSBucxsWnSohw2PHM6C2KdLy9iD4CKigpEveGWlTtYko9C82UAWJSncnMKRW8AkC6xuaJrQcIcCOtivYeu1zeOAQDAT19uUhigYE6dCQDZlDztU0n22dALM2Ln03qUPiQAyInX3BNZebCVewJA5O70e4RfhLHra8Jw4Y4Tx8umagJEKN5hYgrBdoQeEjilESBpuyaUwB8TT7kJtEMKdxyujaMmdEk+KgUCrXxZrk3vCAASPyidU57BU7NbscPNDdj/nka8v6x3rvcdXVeCf39/KPaeUg5ndxnQd86d9aQIiUHPkczfW5/k/xLD9UaU6nRB66OaDhlhzzOmcX/hj0uC84boU5w+6L0Etx3Ws8yuJQcfjd/ebH20YMvU1gC7QsM4ZUwckX+j8X8+bM7UaZuR7TiEVSoB15DBf4oRdLsplXjpyvHYcFzvnD1dsiaNs59oxHpXLMZVr67xP9sl+VdW4V/kSSFDZzWDL+OdVHLTosIkLXxFVZCwZO0nY6zwS8fALfph46TngOynfdbuJGCDSGj9yjq5j6GBlvTdlu18eheZMqTRQ/PyStosxsmpN/6VnlTSGCv7JuuXY6fiBPXVGYbIfZa728mxGuPHOQYVZBRo8SWDtjRwxSt9w/2/tjzCl8YLOuCMH9EjaWCz8UkfAY8n8OSE5kZ6mjltUepknIuAFUVsACjC8/+L81FovgwAC/JUbk6h2A0Aa9rg8xLN9VhjpNkgT4axLetLsM7APH4bqRvw9KdtePrTNjgDYgkpvzsKuviVY8v5GKQ1XuP/iYVWmaAUp41EGZTeY/aU0JlTy3wFUvBuY5Lf0LPWZuXPFilvPQ6NFQuQUph0DA+dIG+i6FgBQUnDF2NJpVFempUW8fyb9F/UJd3obB+9tto6A+2UwqdWljROhe4scMLc9r0wrw27374Ce96xwr0bI8+w6ehSvHT2UHxhdJkQOjXBA24Y91XuVkocSbthK9bkX2jZbt1yt63c5uTme9FObQ3ZvrUDiQIvz6lrNENbixZP2K3dXmin8QdDaQDCaxKqtXsGrNEvcesnmmKoHK8uZOY+oRkG266f/3Oay1fFg2rXM5/jt+2TY8R/cv0yXbB9i5/XHVWGFy4fh502rcpPZxSY25jG6Y+uwIZXLcF1b61BW4gW2/ayHKH12cbL8QFco5Wsw9ktVypPaDAy42fT85gCdDEqlWvrly70EOuN50T2m98Bl76G/gCdVnNehwfymrLrQVNm4/GwGSVvkd4UqscBlUXrKhNP4ybz8DyFeJQ0ssh7DOQ4SqOBbIdXh3HHzAkn+iSNAfaZDAj3TV+DT/J8p0hX4cCNKlFVKgaVDVoSpNEpeTZiboyfjvFMO3YB6GvZK9NtSzEfAaitrS10E7oLReUBsDBP5eYUit0AsIxv5Wbhyz57DBh5U+67AhGAQ/vIZYAA8LOX1xANNK5FVFqZE4JqxLgyMxcVSAHAZmS30tCunJxPFmYkcwX0NnGEVgc/J3gRUfqI6qQdBBY0NMsxFeMJySFjgBQKWLhIK3ktaIJXCDRBgtvMwoQQHrz0rCiwcqTdqaC1ozMjUmfr1ObhsfHmIlz3GwvasO/djfjSzQ14uhd2xRm+PLkC//7eMIwbROzHMWTQfDhKpPHHKwV4eOQo2W6e1S35F1q2m1TuCt3a/ErhzD7bX+kd4ByDoDKSeCPGC8qfwPOkLSZjDEgraRJcM74BQe6+cd+4nVYxs3m53QAZKOLfWE6fNKIMwwbm122+tc2grU2ON69tGovQUQ7N20vD2zQwZGAJnvj9WHxt9wF565MGs5a345sPrMAmf1mM295t8nRgHy/oWSqIGn3S7lGQvEqODyB4hhGKEBmcxI6uY1Cw6e28ycYmX+WxbTJeEq9fvHakoguRTuYBXN5kebl21M72OylHGO2NfdEmwY6BYCiWH8mFyXVaSGiowHVOaHFco0fSYC9pnkbHspFhiYeegS3y+xEyBND6veylvrH7n4qAwzaq8tcGG0EBnZ87OEpzA7jjkqZMjPdSXrH1pQTOOUBjSjygmC8BHDZsWKGb0F3oNwDkGordALCixaBVM2hmJa4IK52ay1eOYZ8Jpb7ls0Dw77lteHJOG5KdcmfHXAp/JHxYSMbK+GE23ElDCiIntjsqkvBLA4JUopnZakYBhf875Xp95b4IwTyJ47GSYNy0mgCQKGVK/gQPKY6FJh4HqfiGLt3ThNgQbkvjj7rrT3MoDQVSWdDwghUCKaywy5/WXjkusmx0EgZg2pJ2HHZfI7a6oQEP98J5eAnf3L4KD50yGHWVkTtHvLst8ZtB4k0213JQmfG4l+bZAam2IsJXN61015OHF3D7zHMulR1es0bk5fIssGu6ZgiAyM9u77I8mVeW4+SR/RPzwvNhjQHyOATvQhFNPGyHGuQTUhFgWPjmc9NJ+xWaZd/lJYb2Cw5JOkofdaSvKI1w4/mjcN7RQ/LUqzC8t6QdR93dgC2uXoL73m/u+CQm8z65jkKbCfxs4BrjQjSJ55YVfs6TpnBpfAkpRdbYwjfxMy9z1gPNK6eVyqSsB9Rm3lHXDB1aXvlsx8tZT2zk4HZZ/ON5IvogNyA0fOX5Zc8DyTul3OHwI1GmNARyPzVaoRmEJG1ClmdnTARIYxvBm/Na8Oys3ud3Guy8TjlGDki56wHw8Uijm6Awbc7tr2c8in81+Y43NDRelZQZZdpoDBp64bPA+YKhQ4cWugndhaI6AtBvAOglWGoXIa9rad3leCYyUkhJFrcIVwiqmqYLUFMWYZ8JfeMyQKDjLoAOOcAKDyBhAoL5AgkRZWbsXXKkDJbG4OS5PKnMWuEromfOr12YhkBaW76Tj4UslaOKNkeZfLa8tBgLB4GMm9ZJE78nbSXmZePlpWMcJnd+A9V64ejkWel+RzlCyVd3o+C/azu8KaUsrgPwjQEGUL0LQsYnIOl7Y4vB9e824yt3rcCm1y3HXR8URhC68Ku1uPbIOpSVILO+NAXZ3qIu5xzIjIkVWAB/t5zXCygfgInD8rubfPT21ajli+uSpRH5fWXDjzzSIL0gOIzzAu46kYp8YnCLw9rFWNl0ySWC9Cvr15R62y6bXyoDmlDONM3Wwa7f4s6Nk/fK7075mGGlKJOSUELb4nf+bac+hubEpuV1ynNoDFIw+NUJQ/HX7w1HSQFOxv13YRsOun05Jvx5Ec55aiXeXNgG49BL6rTTF/hzCvhjlaSlZ81YK0GuX0kLEj4E3zCu0c0kLSV0+FEcltzfoFjDHOMw83u44yGB2ynDNQ8/Nixwficv8wRK55yjV/JbWpDcFaCUKZVEY8OQebY/zjvnozZo7eBwp1+i7VEgLJRHw4kY/tRHPv0HAEduWqW3O4TThn41mV0Db96heHUZt2yIX483Z9Z8U6tBc5uGnMUBRWgAKCoPgP47AHoJlqxJ+8RVMga5yAGx0AOFZzsHmC1fCOL0h07qO8cAXprfhkdnt2aEB7nLIIUHdRfIZH5DBNlzI4cgrFZAhChHGWTN/c7AXc0a4w0pz0k/4DJ2h/kq/UuUOJteFioNI1yeHGQpnNm2CAFMs4JzMbZ/LFhB/Eo7hac0wQcWeKWAKfN6Y6u10/ZLGBJsmOdlEMczfnrCaqb+1naDB2e24KiHGjHiqmU47pGVeHxWa7eXbC6grAS44dg6/GSv2kxz5dlxQOziIdPfRIABHGWf/1hRbZdjnXmu7vE6AAEAAElEQVReb1h+jY+n7lLr4wC3idtrQRPcbVqI9M4xFZEmRJtZOefPuAlF20OOJJ5xFESrjN8GrpN39AF/Ddh0ti5es7QbteXEcmyTx7sAJo0kfsQX+dk2y75aJVZbTNoxDCDsqQLglH3r8OCvxqC2qjD343zWmMbvX1qNLf62BJtctQQXv7AKs+1Z6Qhwdv5sGLvUazjI4YAvS3D60D0Ssk6me7IMKfdo4PDquFBWcjwZiV48rwCTKU/jZ9kIrYzTZDWO09a2gXKRofENiQB5VlmebjL8hDcsDBWWpkF1do2NyCcabKhczdipGQkhipH4k43OyTmDn2fhqjRu/m/vfNWmM1h/aCk2Z3rTlb5GyjMC6aGkI3RXoaue/FRvMe/+A0VpAOj3AMg1fD4MAMbjPc4vh0fi2RKJbJ+AAzIKlYUI4Vt0OwszwLoDU9iivu98g/OnLzd1uIBKAikv3JKQEE5S2BLmJIQUBk1Rtkq2txvPgr7xiTyXnzBf+mVGwC6HbFHWmA8L5PJsp8aEuZCkXBIUjO0LCwAa4or22PFyGCEJE1FEAo6SRgNuu6haa47zns14kG3HwynL+M8hj4Gkj5RH7jrG42OMwfNz23D6Uysx6q/LsP89jbjtvRasKaClfmhNCo+dOgTHbl2lj7sMA9wxANz+87lFbTdI7pyL+J0mlaGsJJuW0HM4fodqbDG+1O0Tn3HXjl7Z9ZC4n4s1zr8Wv+TZcglcjtMWZMZEHI1w2iFdvqUrPA88K/msfECUIXE6cD4+tC4vOT5/rvK7bFrp1y9xEvCNMDaP1m47VjxH3lxk/vbeqhrP/XEsJo4srHH83cVtOP/plVjn8sXY6fpl+Ovra7DUXpzp0CZkftngCug0EEqYVbql8s75Nfd0jW1oSoxUlqyizoqwTCsN77K9nMF6/hklzk4s80Y735oSZ3m/quAZpR8IG6EkbUxxBLUD8A3ITh1eI8UrTZShCOdzhmTI1n65vdo9J9weDb+ctWXcsDj86ldX+1/AKBAcsUklIg0HAL1fUNJxmoQnUH65PqQcJ8vQngFaJ6LcCFhRxBcAAv13AFjI13ZIURgA6uvrC92EtYYlzQEhENAXLy/ykMVVY8QaAZZMUzIe+U7hh00qw38W9Y0bWV9b2I4HZrXigHWE8MUGEia4FvjyHN610MYYIIFH4fIO0TXEII0vHCXlawMsJqWzeda8AWQ9UNKExsXEfYhku+MCI0rjCRX0rjHHxDsi8sfACgDeRY5xPSkaD2acckw4H8lxnpEshPc8tibwa8dDepto3gDyWYR9tsrg5XlteGFuK+7+sAUfN/Sdi3l2X78c131tIMbVlfi7dgCtBbjz4NEdGhNeB511Va5NAIOqS7DXlAo89E5ud4TqqlL4zWF1mTq5DSbGP8e7QRRgFXvA7afFw7Qtg/IYdKwzoCNOXqjH9WTDVX4O0WxHODUuHnsKihDuNXDaQOtWW48AdppciWN2rsVNz64MFNhzOHzHWpcmcP0GQMoEcFEMlJ0jQMyBcdc2AMeoVRIBaWDzdSvw5tXj8Z3LF+G6x1fkroM9hOfmtOK5Oa046zFgp/Hl2H5MGbYbXYrtxpRhRE1MEL1b+1m5pj57fC0Gu4b5izGh+1zi4j0ani0dv6eR4Uty68vyJDZYJ4q28fHV9skvxP1l/sRj4n2pJ/LHgGmAVkVKpAutdY2mJuFi7XI92cLsWkjm1WTSOPSLypf8TVMwpXdGko/TKG2w6bitKWB1q+kzn/4bVJnCXpNiTyaHvsS/Gj/juct27NHDGSU8m0ziyCa2bon3GSjmCwCBfg8AC/kyACxGWJToM1BfX49UKoV0uniReUlXLXEaE5BnMTmtlt+CdEHXhEd5vs0yq5jx7jyqFMMqIyzuI5bEn77chP3WKXON5ZZoaueuOhOkk3cjfuN/2pGCREm2zC/yVxG78Vqh31EqlIl2ypDplTZ3FhYhLLBJAcBQhIMrBr4RgJk+d0URJDl9RHG2bOedhG2rUNl0dgwd5YrShJSppN+KUBsSyGxYIrjYeKtEZV8Lq9qA1+a34eX5bXh5XsfvZyv7Hu2qLI3w66/W4KydaxJ9SBUwbDiHhYR7BoMOl2o5fozXmiIXP5y8Q1XODQB/PXYQhtem3PpZ8PJuPBedkwIu46iN47Uuj3/Y8XCEOqoruVgtoEzwOwySw+DO/FDhGh4n/aCCNYOHXPY2j5wrQd8uPX4Inn23CXMW5+5zldtuUIGNx5Uj02e3+R6fdHgZ0eI0dAONc8M6950SUvkDK1P4xw9H4IAdanDKHxZicUPhjeStaWDqrBZMpUvUJtSVxMaAcmw3phRbjowv91XnmRU/iuN0afGrGQsg8tj07I0ojdKhIqRSZCCU2EBbnXoE77a8KOHxnME+ysVGhfNdGBYfs8lnGrvQ1pbk0YA/3txPKXPIseDx1Yz2zngxHREEhw30zHuTbMTPJd1Lho9kpYjL7Ej7pxdWYX4f4ZEHTalEufU+46EIKf6AO59yfmS4Nn8SzXguE77SSV6lbcv7DQC9DcXjARBFUZsxZgmAPu1nUVJSgvr6eixYUBRXFqiQGAAkM9AWblrEecImdMIiyw0xJK0dkgHF8aUp4KCJZbhmet+4mfWtxe24Z2Zrx2cKszFYGy6ZqmaNDxBP58ERNE0szLAQQcJTQshpzr06tAlCYBdDEdhC5YYEgNAOhKOIKPmBjPLAYyIFQ06X9IMyaQoTp+VyHAWGhS0qlwUII4QwbndiJIiUOYC+YxsaCzvvBmhLAwtWpzFvdRrzVhp8tiqN/yxsw0vz2vDOknb1JEpfgq3GluKGr9VhyojSzDgZGguLMyxEewJjHG6QmSMW8j2BSKwTG2nEHMRlHLBZJXbfsBxT38sN7bnwgAE4cutKF1+0W+AdMAI3rNAKf43JNQP46yF5h74mGBjXk90z0U5emykKAzqUnJBib9dEcoRIrFen8Ur/mDdxGQCG15XgofNH4Es/nofGNbkRQP9w0lBaf9TGhK4JBQMQdI3mw/HoifO1w6UzEGUAGVxHnDYNHLxDLXbYqAonX7oAD/SRz5cxzG5ox+yGdtw+vRlABz/fbHgZNhteglG1KYyqjX8HpJL3qlLAob+I35N1LhlIJomj3EnjOK9vuQuq0V/t2aaVa449BaS3ApfDR+YsvnP7JB9nOqd5Rxh0rDMTamjkj4cj14nynOxi/OQ42b5KvhYaP62OYLgdA9tuKoTHwYhGsaeEw6MpXzL2HbBktcGvn8u9x1BPoCQFHDJFHDmW+CtBxoUuAFRpMIVrXp6SlmnhUJ5jaOgjG3c9hSI8AlBUHgBAxzGAPj/KI0eOLHIDQDojiGi7SprQwvEMDgMJVKgJMpxfK98RmDLPB04swz/fa0FrHzEm/uzlJhw8sSyzawn4wkSiuFC8gWvgYAFC/soy2RJv3YS5HCm8s6DIQhQLFazgOv0goSPJRwhiKL12vEATAKSyERIoZDjjgyw/xISScbX9NW6+pD9WILKCtWi4IzhRvON9IIUPm5Q4LOMCC3KJUIKkLgNg0eo0Zjem8UljGvNWpTFvlYl/M++LVqeDS68vQ0kKOH/3GlywRw3KSkHjYIQyF2XmThpXImTmjL0ibD7AxWuHbsTpUpxPKF4mk+zyw+qw3SWL0biWgsx3dq/Bj786QBeMJT6Hzmk6CnP8zuXINZKEGfdXekBIgy+QGU95/CQtxisbnzDixdZtd2PZeJCsU0GvAFojcNeSxAlq46YTynHXOcNxyG8XYuVa7kKduOcA7LBhZaZJ3jhH5DlkKD7S5xn8a5RxV+aHBXabLk4zoi6F+34+Gtc+2oDv/WUxVubI6JEPaEsDb8xvxRvzW4Np6iqi2ChQglE1KYwekML4gSVYZ1AJ1qkrwYRBJRhYLtesso4dRdm4eCT5NeCOtYzT3KPZCyEd6fyecVSuDzY8J+vSiHQa3QkwTYcnUtlS4GI+ZNshxwrw17nGmz1ebNcwxBgp79we7yigaIvTbePHybJkGNMfx9sywsX/XokVfeSyut0nVqC+JuVHZGteKC6b7MR5JY5q+K+FazxKpOk/AtDrsCwfhebbALBRHsvPCYwcORJvvfVWoZvRY0g8AEIupXKBdwW6klcKPRqT5TgDj0gNq4xw0MQy3PFRWGjoTZi2tB23f9iCo9YrIwUkct0KNSFVgkaIQ/Ga8OeFa+9ZmKG1YLCQz0qtI5BQ4YnQGksAjtAqJlLbjZF9s0oe1yGFDS+P8h4K4/AEt0x4fGRYEmd84wtnlEcybBhiARE0TlGEpWvSeGJOK16a14YZS9sxuzGNWSvSBb2ML5+w/rAS3HDkQGw3vkwXRBywOEHKlXY/g7MrauPEPFlFjOvSPsuWpMng9JSRpXjgW0PwlSuW9uhzRiUp4M9H1uG0nWuEF4xxBWheG7ZfUvGVQrKlO+B8cPtq+8vg7ELCxVur9JfItaqMl7f2lXaQ10rm3c4pKx1UjyeA0npLiXZF4tnGpQ2+vFklnr9oJPa/eCE+6eFxgK9uVY2rThsWNnxEgOMSbsOAzPxE4jmCP1ZcgNy5jPvj3lsCZ9c5gsFJew/E7ptV4Ru/X4Dnp/WN28x7Ag3NBg3N7ZixJHysYUhVChsPK8EOY8vw1fUq8MWx5ShLEd9ydnoF72ElWzkP7t8hw/gePzqeW3KdUnkOnohOeDuuxjXGSRrprEHum20v1e/xORJEkve4Iub9joeb7ItYA0k7uHnEv+Va0fol8VmOWYjk8nrPRveScbc4ERcY9/OTFe3488urA5X0PhyxcVXuCtPGTqNfknbK+fLmmMI7ma9ivwSwyAwAy6Ioyt25N4J8GgCKYlt95MiRhW7CWsESa+F0rLskvAG+sKERAluG/bxPNsIrhZZQ+pDAmuwUAd/YoBz3zWpFS+GPOgIA/u+VJhy+Xjk6vlEQEIAB3dgBJZ2F4JiLcphoS2ODTMdpnLKMy5D5wjkDJNfQWgHWCkWOgsw4xMK7xS+l8Z4AIHAxzfUiO2j9ZuakhQH+mdCkj7JMEpgiQ4IlMoXJ/HKtUDVvLWzDw7Na8fCsVrw4r63Pu+rnCk7/YhV+u08NaspJ2bQg5zlCh0t0ysDFZUG7rPJr0/DlXXKeTJShW6D61DVFQrABdplUhsdOH4zjb2zArKVdJ0DbTCjDZUfUYft1ynxc9Fz/7VqM/J1BJ50MiwuWR3c8rx5kOcNJa8/mtbdhJ0ZChIV3NtDwVxgseOeKDa0XMYeyn1Lw5DsMbHiyPql9cfxm48vx6q9H4ZwbluGGZ1eqm4Yh+Poutfjr6cNQZumEXNea4cP2N2mLcefDe6e88i6IhL4rPNrWwxAB644uw79+Nxa/v3MZLrh+KVo/p8bEpWvS+PecNP49pxW/eXE16ioi7LVuBfZdrxwHblCBQZXEt5w7cwAfqeg1oQGWTsGdu0Rhjlz5xsmrNFiG2XShdaWuU1GO9NLh9YxAfktjrCEgGQ67DsV65DTJmBCf1uREr79xHs04Lvk0xLOBf6yLw7gubYy5n0rcz6Y29pmb/6fUl2LjEVlULTlOuYDQ2Mn4zupnuks409Dc7wHQi5CX8/9A/j4DCBTJlwCK3QCwtMnASAEacJlFIqBGbhwzmSQ/AgIpfMGFCXck3mV+CXHcsMqo49x9H4H3lqfxt3c6zjU6yqB4VBki91tTGjkfgxwvO57yMz+hywg1QVXmjejPMupE8UdGgAWE26ss3Ih6bZr4l5Vt7awed0AKN6HjDvJXwzUocRDxUihhQUIT8uRciU/LNTYb/P6NJmz4zwZscfMK/PiFNXh+7v+G8j9qQAqPfLMOVxxYGyv/cYQhPJBzJI0zRjxLnNLmV0vr1Et12V+bNg3hIQDsMqkcb587DD/YvQZDNRdNgh0nleOG4wbhpR/Wdyj/sk3OZ0PjZ6lM27Ymn/4z4XFw1lJcWDIuxrtXxe0n1WWMi7tskEt2zqi9UtmXa9fI/sAfdwcPqI9OGdAhWeeRS9O4fwYYPrAE/zxjGF66aBT226q60887bjyuHA/9eASu/059x4V1tlw7FxYkfZG46tBhmzfKjEsIt9MijC+GDNE/6m9JCvjR4YPx6uXjsNnE8qx9/bxAQ7PBHdObcPwDKzDqT4txwgMr8P6SdkG7FWbAuO38BvCW0yWbKHDTQrxbnqEarkRaNgyEPlkYUpDlpcuJMQkuzjgyX5TxeHDwKnLD0lqDOR/RIJvdEziElm/nRJOREhkS7prWPivNY8K8WVuXlPedBW3455tr0FfgyE2q4mGTtMHiWy81JFs9kkZxOBsB4rDlRewBUFJSgrq6ukI3ozuQl/P/QB5RzxjzEwAX5qv8XMEf//hHfO973yt0M9YKHt+3GgPKujCVbNVmkB4DMpzjJTEAiOBHLtHXFCp2sYvjl7UYHPLoKjT1ES+AwRURZnxtAIbXpNy+O30SQrIFjZdqoKULCQ2hNPJMsSTW2drCTDgkwLCAw0qANG4oskNHvIJvmkUZhGeI/HK1fjEI+cNTvmxfQzxLK1OWbe9ogMHSJoPL3mzCZW82Y1kfOWPYW1BeApy+XRV+tkcNBlVFYfwCxLxEbrgdtmw6t8wv6RADz3FECaxxS17I6JUPtLYDT77fgtc/acH8xjQamwzGDy7BxGEl2HPDCowfXJJJL3eq5Gf+eF1q7r8SZyWCa/SYk9m+Jv2iQiWue+92rUFZ05Fbh9oG0Vel+fKrLx4NAbU5VJ8dOx437i+PdQQsXZHG/a+vxrQ5rZi5oBVrWgxGDS7BhPpSHLxdNTadYD/BlQWPJM3h8RF8y6ORcoySS11F2wN6kzNeXE4yXBke29ZucPXDK/DLW5Zh3tK8eIf2WUhFwOFTKnH+l2qw2fASP4FDAzqjz5TGu4hQWYea7CPnkYtIE6KwfMR5JV/LliYbhNriuP4ra99m9niuTEsNTBR8hcGHhp3LlmHcfqZnvFZC9FtM2QG3LsMD7zUrDeh9GFqVwj1HD+nwNpL9C9H4kDzeG9CVJQPghHuXY/qi4qQ79fX1WLiwKPanLTwURdF++Si4/whAkXsAAMCaVmBAVzbR2U1RKveaQKilc856UllWuNGYGL9bLwOKH1we4fBJ5bjh/b7xRYBlzQY/eqkJ/9itSvm0k2VMYpwsSEaeuMcJASDI+ER4NuWXBWMj4jTBQZYh41iYZSE+UTioAlmX0yaLT0YclbA4wsJGlAlPyjP0rghgMsoRuJRw7qu8rCibsMVCeQSsbEnj4tc6FP+VrV3gkp8jKEkBJ2xZiQt2q8a4ulRm3KRBj0EKwkwDOI2cCzl/BplvsSeCakRzZNx1ane+UnFhxtYf+XXRnJelgH0ml2OfKbS7qim73G4eBxthlT0bLu+QiJT8zrEa/gUcmsnRBh2u83xLv93547Fsh7jNnNexyaTjeKbnngJiMuuY17ZsPq+fhEbFCRxlOg5LDCWRW4ZTLrVdtHNIbQrH71LrKw321zlOYagOosue8dD4Y8CXq0n6yZeCch94DfD9DtxOW7+NTj6DaNuYGZfSVITT96vD8XsOwFUPrcDFty/DkhV9xIKeZ0gb4LZ3m3Dbu004YkoFfrdHLcbXlQj+Gbn46cxhQMuRyr8WpspKlITpTFKF8dN6dcPFH9luzmvThcDjzYyLYg1oSr68kNihS4y7ASFPG0cAyVEDy/c9usLJI3hrS1Yp6VwaeG5OS59R/gHgkI0qY+Wf+Q89a7KId3xXpLfhcvhzARI/A0ulr1yu2BMoMvd/II8eAP1HAD4HBoBuEwLVNS5LPOAKwgkTpTTW5U5TyqCEOcKlwdHrl2XcMvsAXDejBf+e10auhPY3Hgfr6glkBD4rZNpAFnqldwRDROk8UAR0j8HDT5O0i/44nRSONebCwrCWX5suKfxyO2Dcc9Ahq4fheMqn4amDU1Qv90cK98gSro2DAaZ+2oYpN6zAr15t+p9S/qMIOHbzCsz4zmBcfVAtKf9RZndLjh/jm3wGXJdreV7CwD3CYoVd6e5ucSKNjNIr3Wt5PTrryyhxgb/EpZtwUCqF3IXkqx7Gzescz3K7rL4bIFlk1k1XHrHhOpOuGZc+JW7Aol8WIlEGG3q5j4Bbppxf6fLvzDHgrT05/x4tpUZyHNftjLOSXh6Dctor2iLDEEjH+JqMhzJWSRql3XYu+QhIu3H7act36qJ8MVRXpnD2oYPw8XUT8IuvD8HA6nyKdH0Pbp/ejE2uXoob3m7KLBlnraPzoyaeUkt5I8HovPNdRhiVKC0rdHJubXr59SC5TjUlGXBx04hwXtPMA9kgyjiWdNFk6G0id1ABPK6OtwRXzo+2MfGfowSL9kuaxPxcyj5atWnARMCPnmxEX4GyFHDQ5ApB/42YWzEYDj2NA6T3rUwvQQvrTnwX0i4v4q8AFOEnAPvvAMgXfB4MAI2tBhVrO5OhHW0bxkSMBTS7M2H/NIEpOfskBDWbJoowqDzCkZP6zl0AAHD6s01oTT5bxuMDV4lGHM9xDLzj4CipRjAAwWSTcilJwli7AGyQ4XY5AoASJ+UhiHycN1i3EiZ3A50xUYQu3klgoUA1BAi8TYacGaVgmp7AbryxaGkHfvT8Gux5dyM+XVm8TK8ncOjGFXjnzMG44dBarDc45eIhK7ds/NIEb01oA2gt0Lw4Z3fjd7uxyUYBFmDbTQaHJL7KPNxubhsbkwz8ejRhVSpldu2wMifHy/aXy5CGCChx1tDB9WptddrM6ZQ6tXmxbbV5uA1M/2XdmlHAliHLEiQP7aIdcm49xVvUl+STuCja5o1v/Mt0JS3+QGXItsm6tfP/DNJgxMqqPC7F91XIcWWFM/4bUBnhgq8Nxsf/mIDzjhyM6oq+Y0zPNzS2GHzj/hU45r4VWL7G+MdzmKazopsoYIzPYswlTfMM8ZY/G5Kh4PMWW5cmM3A81yFxyYZr/eP02lqya4xxlHGNcTxNjWC6YSF0d4lN7wy2aJAxyVE6F8Q48Ngm46v0i4q5f0YzXpjTN74oBQB7TqrAkKqUi1eAu34TTzZW8uMxtOGavBPxpMMd/2zjJOM5rouwssVgVUs3M/Uh6PcAyEC/AeBzYABYsNpgVHWq2wvZAWP0567kc4RM44YxSAGWCVnsBVDTh7wA3lnajsv+25RhQBYSBmp8Ym6ffStAZseUmVnC4Cg8cSEUwklieBBW/KRdgXEHfCFYChchwVWrRwrfWl6l+0leeYmkU2ck+s3CBjFJzigF4qRsFnbE2IudtI5y47pjQWhmQxo73LECv329aa2WVrHBVzcox+un1uHOI2qxUX3MIhjneP6dS99smF3bcPFE7oY6O/1iPtjACPh4InHWhkmDI7dNm8SQQY5xiteOzGdBuzBPbaNx++uMGXQBndPITw7ahLKPcpzshWFWALfzyXMg55XL43F1vBlovEJyvSP8KmOjKTBcTtJW46fXcEoqLdIooNUlPQtk+yPKz8YAedO4Q6/g44/WRxP/kzjLYyXnRusLgCEDS/CrbwzBx9etg+8eNAgVXbkb6HMCt0xrwheuXYr/zI/PJjv4C3fuJEi8kseF1JtdxUTa9ZjQMuMm43qSsomuyt1xuZnACjrr1vYvJdLb/NITgONCYZqBS6aV4Um7qBMmjmR8Tovx4sVqx8FbJJFvjCFoSwPnT+07u/8AcOTGlR0PyZwovEx6lUmZEhDyYFxOwquiTB5+Z2Dc7sqdVSFUj2H+yuI+alSEBoCi9AAoijsA6urqUFFRUehmrBXMX51GfVWEUj4LqkEguMsQEnqzQeIZYDJMwPEYyBD1AWURvrZe3/IC+NkrzR07v5rgkPAoYmgcxoxQcnaHoRo/nCWARLiWTMK4dUovDHlMg0EKFxwueHLSHM4n0zkCgN9dRwiRO1tOPcbtgy3b5lOF6Cjzq/aRhA8rSETcCe5jR7pX5rdhuztW4PWFxc3sugO7TyzDcyfU4aGjB2DLkfH1MHaM242Lf0DGfVTu/iKQJ1GiaP5tfvUYgRECUgBvJL622zbG8yvTq8otlZU2QJshPBE4YgJlpEU7tTbyn0RBHisDDz299ifjLjRoTVF12i7bSvRLS5/0UYyXpHvemNAv503yGHfs1aMFVI8FJ58yv9xPaaggA19W3LX90Y6qSGOLZhBV61b6xmMk01vvB5W/ZKk3FWH4wBT+cMpQfPj3CThjvzrUVP5vHA2Y3dCOna5fhic/ju8TYoXVQD9OxL+J0izWvPVc844iKeU4vFXSD6YP9JwocEwD6I/vrwDlkcYzBttezVgg229Eehkn++od6RFtcdpBAXbHOzQHdkzk+mfZMRm3TOOu/+8avNuHLqXbfGQpNhxaqs8JgIQfRlokPSf0T8EZJ6s3kJk6kjGlsXXiRdVy/gXMbSxuT8giNAAUpQfAKgB951scAYiiqOi9AOatMSiJgOFVwtIqIbSwNSGrK2CM/gy4yqcmwDFRt+mNwZGTSrv2RYNeglVtBt97oSmsGHcGUojnsXbKizLE2VG0TEZg9y4SIgOBE071JGNMhF9TaKQQxKD1WabT8llgfuEpPaIdADwBILmIMNRXKiSiSE/YsYITG1pobOKw1xa248v3rsTiNT1YE0UGYwak8IMvVuK/p9bhqW8MxJfGC8XfUzKM+2sVFFY6O70fg56zXdpocUoTBm15TF/SlMfWkbSfhR9aU1LQdwShiPpl3H5xfdrOuSxfus2C8sq6bT85D/eF88l+Jv1X6tPSJu03AVpF/cpGF6TCYnfGZXkR/CMStl2yXkkbkjmnhNIDRZbrjAkyilZCU2WZ8MuR9XN/uf0eveE+0DphYPyW+OTgPvcvy1jZtsRxY4eU4PLTh2HeTRNw/Q9GYK8tqxMHrM8rrGo1OOCOBvxrTqs/Pmx8jujXgsQ7GaatEWlk4LiEF8W/8ngbr1VryE4UM7K2c9lMl2x65mGMmymO5zohjAOMy9QHaWCw/Q0ZHiQ9d8ZTaYM0gHJkZMfLAvWT7mZY02bw06f71u7/EVOq9DVsweF5UcAzhQZJW+dZNjBcI72yMeIYFbkMpuNUBeWZV+SXjfbfAZCBvBkAoigy6D8G0Cswf3XHYh1ZnUKUzf0U9M5EgAmtZH7yWXvXIJtBIEu62rIIx6zft7wA7vyoFY9+QtblbP0XPMwbT2XjOcP0Iz+to+CTEJGmCU52ieiZ0zoGBbhzkSjMggkwcHu1nVpkiYd4l2GaMYDjHP4vhDdOZ+uWwkRytpa4mTSS0fi/uagdX763ESuK+IxbZzCwIsIJX6jA1K8PwOxvD8Lv9qzGpsNLkChu2hlPwN/hZbC3RrMga4FpkXZhnVSk2K06dNyEz6WD3tkQwW1NzpkbeHirKYBcphNnMulZeNbyWxTj/rDyGRpnaWz0dpKpXbKfPNZS2WWPBt5R5DysqDpu/1SfzBPczaPynDzGzecZSbQ8WfroHJ+Qz8ZvK7cvGQeaVzaGaEcDQv3j/Jw3tG4kHiRlZvnlunjMbLx6XAUYUJnC13evxWO/HIXPblwHfzhlGLZev7g9H7PBmjaDfW9bjuc/jc+EJ7pU5PILyX94PbKSGjKaSAOlBV4zHGYoocQHGFGXUmjyGrlh2tqLbB9ZkeQyTLwG48Zq9Mf2g5sk15DGi7ktIQOLTJe889oXkYl8YfE+wuWvrMJnfWhXeuzAEuyyTjmNPxQ8g0ujNXkxoS3GH2MTJzJxgAF9uYESR3LONUSmNWEby+U78hMwr/8IQG/Dp/kqON9+YUVxDKD4DQBpIALKU8DQCmSIpiawgMMUYhCgD0rm7oEk5FniD1+3FHXlfWub4sx/r0FTO7ILA6C4kKtgNiXKM46IMJP8yz63SVti4s8XzEiB0VFAjJuPy2ehhJUCiHg5NkHcywKSUYbyspClCSqA3z/7zAaUGN5b2o49723E8iL+xE0IykuAgzYsx52H1WLB9wfh2v1qsNuEMpRo314HkChRFpwL0WLB0dmRtjhhcccITwCJx3DfeXc0Ub5MJi/X4eQ1cBRJzfvJ4oa8PE4aI3iXn/FJCvLOmBCyyvPn2k6uJqey0UPSCClw85jweEHkk/PD+e08seEQ0Ntt60pokRHjRnn4HYiNSUpfE7okxkMaPpK6Bc0C3H6F+JPTb/hh2pw4CrZx29Qu8moeILIc0aQEj60XRIi+ybmXxymS+bBtE2PEeCzwYuSgEnz3oDq8+sexmPHX8bjga4Ox7si+ZXTPBaxqNdjntuWYtrhN5ykavrGBAEoeI8ZVprM4LfEsKV+p36snEu1l3DeZX7txk1wkx5VweqabkRsWUfpsijwro5zG2Rwwbrs7kwV4HCzw8RyZHqBPnnb8LFvdjl89t1pJWDg4detql68yroTGAHDxRhphbFhIxrG/1piZ5BNzYudeMjeHlhqFpmbqmteHjC09gSIzAKQBzMlX4fk2APR7APQCzFtjEmFuVLUl/kTgmWmBwjkdQ2fE2/tOaW6hujTC1/uYF8BHK9L4zX+aXSUh5D7M4ZLh23eNwGoMUQoojhBgmb/QvnluQ+1JU2Wq4BC5jEi6QEvlSGU2WfoYAm0MGKThQ3MhD5175DqE8Lei2eDAh1diSVMeELqAsMv4Uly9TzXmf2cQ7jm0BoduWIZKvitEGyNnrIwbZg1KmoKTRkaxaaf0vC6kki3rTHAvnqR0/GvDQfmsMuThoMB7uebk+nNom+0zr3P442QVdkfYJ0GM7z+wu8zcR+57QhfkmFL7ZV1M2+XOuXQz5z7yOHGZtr4QHvCc8djwnzSwsMDqKPE0P4nhJUsbeTy8YxVUr6aQ2/FP2izxuZO/0A59tvsVnGf+E2Mj6/fSizHT1oqDCzTOzPcTGg7XEAZgw7Fl+MUxQ/DhNePx4iVjcMZ+dRgztBSfF2hsMTjwzoaO75Y7c2gyeMFrJqToiqAknPGA6UxQgRLPPDdJXYJeePRL4D/TnYjeATL+R0q/RJjEOS6KywkZiR1vQ9E/OX72WaNpUNIHwn7zwuo+9Um6KcNKsduEcn2eeW60sXDopXgPGQS0siSNieDjZDLH9KsaLY2Xdl6Rfw2pyI4AfBZFUUu+Cs83pe83APQCLGkyaEl3eADUlEQYWBZhRatlboBzBtw7/0zCtiUGEYVF6CDyfHM7KLsnTWeBbElF3CHrluGmD1uxrA/txl78nyYcs14p1htU0hFgd9F4p90gdsWCz8BB74DLIGV4NkjosRAUpHDLlWsWdVY6WGC0fUuEEcIT76iIobQCl5JPKIq0DKzAeYYPkV4bFxbCbBqbxV74xMyTjTDIpD37+TV4b1lxM7bK0ghbjSzBdqNLsd3oEuw6oQzDqyO/zwAppQJnLO46Y0YCJ+I8ics/XPyXdbGAaoFxzdYHSp+ieuyvc7SJ3mW/uM0SpxNaCH3nWWmqKxRFmb7bMnhHSqNvtq3WO4DH15bhjJnJxCdHfWz1NAb2UjKGiNIkbTJun7leZ5fKwJmrpD9inB2lh2iH5RUmXveagCqFWSdewSVtTKUSxAap0OWh3txSHo1ec37Oa4wYM414i/Yq0WgnHJJpvLFSGCbz5lAdyRqm+UzwKfLyRQC2n1KJ7SdX4s+nDsPM+a14+f1mvPxeM16asQZvftSClra+w4u7Ax8ta8c5U1fir/vUZnhmAlEHrTD07vBEG27HPBL4ZPGdiKZNo/E1hs7S2LUWUbxdt0mewJxYGmiPACR0QBBLLsehN8YtyzbIMQBH4hnuu20v98ehxXBw0BkLrVsi/2cr0/jTK31r9//0rauRiuJOqLKQmOikPwJvZFjCE+iZjUZAWJZiYLqvpZd1JRVk6Mi8xuI+AlBk+t7H+Sy83wAAYMSIEYVuwlrDgiaDcTUpwBiMqYmwYjkzfiFcAXBWvmMlhi9gsCChETBJsEPERwNJbOL3qhLgGxuU4U9v58341W1obgfOfL4Jj3y1OqblVpAiRioFUgudEebO4i1IoSEbw7QCSiidfJaf92LmlLSR+wcfp5w4ygtOS4ISC/7cPwmaMJ+138qvfI7fH/ukDde823fwrKuw4ZAUthtViu3GlGC7UaXYbHgJykpAa0oIogauAKkJoLz+AX/cbZjcTdPur5C7Y0leeudz6aA2e3TBuP2yBafh9tXAVY753dJCbkPwixP0nNwcbjJttmnbRXvY6GXrtjhujSZR1KEEagq9c9ke03AaBwBIC9pi00mvAZsnND92LLRL/pw2iPye4YPohVxkbICQc2PnOImjMWYlnW8PZ1xK0lLepAliLhjaDfWBcY/GKi3GzVsrlM9RTuJE0g1YrhlJ6xIcobos7hhkDGNOHyI3vwU5vzaB5FNJ2zL5IgCTRpZh0qgyHL1LLRABzS0Gb37cjJdnNOPl95rwyvvN+HBu3/nmemdw9ZtrcNjkcnx5YjmNu+Q5tHbkMThn/UiCBvf8tcRvKtoDb47gzp185rRyLfDa5vrZI4TpW0pJx2V5/N32jxC0E97qDEJnBn3NWC/Lp2n49qMr0NSHjFLbjSnD1qOlSiVokiNDUTL5bumXs3YFgZbzLOl3trlhYIOSg/P2NxO2shVYWcT3I0VRhPHjxxe6Gd2Bj/NZeL4NAP13APQSzF+dxrjY/b+uPPYCaDEKAYdgBrTgpXCTMD4hGHFC3sGz5TKhYkFG7mZIAUgEHrxOGW76oBWL+5Bb9mNz2nD3zFYcum58RMHZIYv7qJ1FTgRaQBUyEwGRhElluLMq/6E8Yvq9+CRMMKtUXKHHFBivnMn3y+N6pCeJJ7CzUCrGUFq7pRDbQ2hoNjjp6b61iyBhaFWEUTUpTBqUSnb4txlZgsGVASUw+bXKAykV2QSJCO4uf4JjNCe8W+oUQzjCiq4UdqSQagOtQO4Y0+K2SyUJxq+f60tHruDs7XZz+SQU8zpkutYOf8fdGgVYwWchzL47u+4m82uVXWc9AFnXsyNMOtJj9rVg0KE82rnhtmieFBKXpHIAIOsuv0OfSGEwJl7HUTgfP4e8k2x+SRNseXIetDQG/ryyoiTnAiK/xF9JCgF/jCHitfITHCG8EOeevbZyoXKNcnuT/Noaj8vQ5hRARVmE7TaoxHYbVAKoAyJgyYp2vPJ+M/7zUTM+nt+GecvaMW9pG+YtbceCZW3qSZRCwokPr8S0kwdnvjLkeANE7ngY0fgkLSMXhZsAwiXrVuA8P4ul7MxXSkkjy9DeOZzjLc1K6FdckVw3SfvEopQbAF4DqMIoytBvzQgJKHgZ+XMg5YAIuPPdJtw9o1npcOHg9K2rkZ2wEQ3zNkYoj4nzJeub8Y3SSY8BGyXxwFA+642m0Uibjj+VKfBxXmPf+dRiT2DMmDEoLy8vdDO6A7PyWXi/BwA+HwaAz1YZbDMMyWIdVxNhWovRhRn5y8CMwBLh5NyXEXRNFGyFQmdnJY7XdqCYMUimGAEVJcBxG5Thkv/2rd3Z77zQjL3GlWJAGWi8SKiwwAYBCSwgy/AkPzJKmUyrjJeTV8bJX03AkPkdZhM/yp06p6+Z5El7WZCQjA5w5162w46bs8vFCRTGqOGZBCrioteb8GkBzrRFAEbWdCj2o2rj3xr6re0IH1GdQkUp9PnmZylUgcIsDbACX0gY08qz+JfMP9EDo+Sz9YHyaaDJR1xgUp4hwSSiciM4uCYVdGtssviSFmmt8ucI4oRv0ognXVlDu1WJkYsGhOdBO0Jjn7Xvs8m5VtepGG95rMJZ/yRkcj+1HWFvPXPc/7P33nGSHOX5+FM9YXO4nE+Xs3I4SQQhBEhggsg2yYAx2GCCZcDGJIMx2Aa+ZNv8wIAQWQIjgoRACZR1kk7hJJ3udLrTxb24u7d5Qtfvj+nqeevtt3pmbud2Zlb7fD67013xrerqekO9Vc3fYfbC8fr4YNEkLR9LcX0AU6aKtoW3OXIGhNC/VNClzzWsVxfrp94mxiNEcvemc5xH6KSKefjMEemasI3hPEjo5u8mfXcov+DjjBtf+ZgyN5RfhdUq1v+FnxmdCbz4nFa8+OzWYvogf14Dh4/7ONCbw4Gj+eC3YBzYfyyHPYdzePpQDkf6J86deM/xPL54zzD+5VltdlvMu89e2zA+RJAgMlbJM44scphwDcvwGpl3Tf3Kfh7GYEbLovVY/JKQaZVLAviqvzFGmjA6l9L3JiLXkLbTsQcSHnlP2QtK3xXaN2abiiXvmHZoHB7WeM/v6uuzfy9c1oRVMyz3uyBGmv8oBJnIgL+XmpXtKprfh+ISLUMmpRSpjb7/f8mSJbUmoVLsPJmFn2wDwNMnufyqYDIYAJ7o84HFCCfVjpRCV1qhP+NgbBQ0zimMBRGhW6YgZDgFCBQF3Yi7pElH4kn4K5ak8IPtWRyso2+y7xvy8c/3jOFrz2ouBkpt5n1huZqi2Id8pZwKgZQBUwYa8bxg5Vt1MgGS1sFdf6mgSPNIQqoUZ4Vr9qwFwZIqQEb4oIqMCacGhHAPG2lvKDzp4r3Jy8d/cN8z7OOrD5/8VYR10z1ctiSJ9TMSWNKhsKTLw8IOD2mjgFIBS7E2aET3fYYCn4vTA5H33VIOTECQh88LGna/8eLNSi6lnSvLHkvPx7fLdZnWxcemJpGioE4ETdNWjeLqt2mr5XWDaPsll3JOnILtxm9otvJpq5sjyiJtE6ULpH+tZ6rtd4KRZPUFHU+0vfRdMM+Fu/jScmgwXzmiz5fT5Bw7NM70s3LnM2ERd2eSyJpnVTQ/HfvW2RUmfXDjohesfmsckrxSH+XJHEifSfgOC23lfWUZ0lRxHEgnplNeHPaHtvvI5LXGAslH51goUj/hK4BtRKPnQiggoYC53R7mTmvCmUt1kV+RR33syRFs+e1R7O3LY9txjbuO+rj7qI/jJ3FnwRfvHcEV57Sis5nQw/vB8TrYHim0VI2IXETnRNN33KuKKLXWGAnzEb5gCpLeD84vrCwx70NknAl9EZZP7q35krxLtD20E8N+JH0QKv1szuZ9HIYVX/733XAch4frRxFNesC7zm4hIa6JMLg2zz/ysII0WgOKtpkm4w8hSMff4YjQw+L5nGviI2Me1tho9C8ALF26tNYkVIpdJ7Pwk20A2H6Sy68KJsMZAI/3+ZE5YVFbYADgE7r0gtN7F+MLE4AIVLAZFXcNM8KWWRXjcVSgDa+NUKWRUgofODWNj9xbX+5eX380g8sWJfFni4NXyKymaXJt2iMJdKECr+00Zl+nZRxggiP/vFrYd6T/lGL1EBoMBN4kehlIgrFUHt9f7qovrFNH09GvE4jCFCHA4+NO2UIU7+dwbBf68VuPZzB2khagTunw8IEzU7h8eQpLOr2wSSF9lluvLl5badizsPoO0ednCjACuzkAijN4WqYilRqBTNF72MKhQVgm6f+QFhWlFbANAy6jVzjGWftMIup+ailllHahnRoFQ4DrM1Nx/Rq5JvVIZdFxbrWdPh/WcO5BFLaPzd+0X6WDADUrg78f3PjB28xXQiMeC7DpoW2m9JP3rEhTcMPnJMoXdFAYHf/S4YXWmKZ9pm1lk9PKjWYujy2XEdEE0GcbGi0V6XM2UZr8Ho8nzz+sn+UB/dXFdrrmak6rRQebIw14mw0N4YGchmQ2L9DxINFrLvxiOdlhH7tv68PhR4eQBrCsTWFZm8Jl8zz4Gri/18f3d/m471j1lY3BjMZVj43iPWe1yHMAfbdoO/g8ZcLCeYq8N1yZDedZhnC8CvWE/czGlNW/QZhkhAVLH5lLQYxP5JnSfrDmBZbX2S98vJhfMj9TQwGnj8+DWllhv3xiDD95dBT1hMtXN2NBmxflZyFPRvF5KZLGSmfuSd9EmTUJc81jtALal2YcRQh0P0s+p6DxDwCc8gCwcbI/A3gYwPGTXMe40drais7OzlqTMS483hfM5oTRticVpjUpez6ICNwo5nMxQwl0cjAML+L+RtLRT+fxz+dZ7rqEqOD2ovlJXDAnEUNMbfDWW0dwYNj0t7b70rQZkPsxsjqOKDMACn1KDSMSkwxdeUkerhBzOuizo8+EPquQVkaj1KaI4Cm0gwsFUtpQ6NBRQdUYQwzNOshgfaLMFAI2HhXpS42sD/zPlupvLVnQqvBfz2nC9re04QNnpLGkQ9k0U7rC94HQblYMzXOg+8ZNH4Dl00DxM2hcANP2N8K5gG/62AgohiawsjjoZ9f4mKCfTgufo2mTIw/tF/7eaPpn2s/aAZpW2+m1kJZ+Asy0nddF8/D5MKRNM7o0o5e3g/YtKdD0pzRnmOfLVwT5t99pPYrkM3NG5LmSvLSd3PjC0/P6nEqCLn4u0Sj1UPZ4N2XlCa3Q9kq9getZ0HKo4sU/F8ifB6eVb9ei45bm5WMuz+pRjPbIGAAZfyjmpfO1yU/bzNtqzYXkl8L0KZ9HeP/Qcnk9Vn1A9N3W0fmI9lVwnc9o7L2zH5v/dz8OPzoECZ4Czp3u4WtnJfGtc1NY18kZ4vjx9ftHiq8fV8YMfBJP3wUqP7nyx/FBwH6PI9t+mGIclmvCSYTlLalYnYIs5rqnhh+TlY95OhdIWw3A0kWUSTJWDF/i/Ru+u0JH+hrHRnz8bZ25/rekFN5+ZrMsV3NeB5qGtJ8iYjSgZWieUMjMM5F7LYTRMl1zavinp7YATCxyAPadzApOqgFAKaUBbDuZdVQLjb4NYGufH9GfoYCFrYq9xEJmw0BUNL8IqQyufPB5hpdLGQGAcN8XVfKMHudr/MOGNFIn21xVIY6Marz11pFQlou00wVJoAjjiPBIBbyIchSE0RUr8ZNhdIIXhD+gIIQ4PTFQDDdhLsEnTujhipsrrYP/R2ihgr6iaRQxYhCBiQqvAK59KoP9Q9VlZi+e5+HK81I4s0nj8V0ZHO7NQ1PFhj9Ty7hB2swFh1CBYc+eC/u0HJPfMhLQPtGw3lOaFo48eW3TJckRPIzSSZVbcR7iz4v0k8lHBXPza809GtaJ/SDvE1dU+Zg2kVS5ofRafaXta9o+A/6O8HnCCmPvJk1DDYthW0n7QoOLULaBMSyFcbQOgf48C+NzEjdEhX0gtJOOdZ7flEmfjS/UZ40DzdIKf6JyS69JXvObJ/FhPbpoaLFoInkNqNHOjKdwrLDnA3JtDC7m/TKF0TI0Sw/I5SlVKIcaD/mY4B5kYRyry/QJz2+9R8K4ZQZk7WscfHAQD37nAPbefRx+lvWzAxu6FL55bgpvXZooyVIrwdajedy6O1vCYB38asc9yL1L0aNpwNKEBrogILLyDfKeBH/m+fI0IM/a6ngeJg0+EsaVfknB51vT6Dhyzq+sHInPWDInGftAuLhxxY2D6KkzBfSNG5oxrcmT3x1F/gwibYU8j1HwMsJM0rV0L1l3eHrHeGDZpzwAJhS7lVIntcMnQqVqiG0AjW4AOJ7VODDkE1f0AlNoSwDTmxzWYIuh6+i8AchChMQMXQZJ+isxBoshOmgAsKBN4a2rUnJkDfH7vTl86aFgJVmak7mQwcO5gCGtQAHFvjFCphEEXCvEoRGFCxZCB3MmHNLEx40ujC+JdiqUuMo3aSN71xk4HVL6kFnqKB3cMABNxmLBaPKj7dXdaPqPa5P4xPok2oIdIcNjGjsO5LB5RwYHjuWRz1OaaTt0UVinK+cmjo8dOh5oGvpOcQWBLwyEv0SwjJQrpUdUwYlb8bbGBRunlL68JivgtC5TDhnrfLWRr1zzvrVWKVG81iw/WFlWfjKeJEXOGCHoaqukDDnfbUTnP0mBo3nNeJK2A1Gl3DIsINpu2j+0zbReH3Y/8bESCSdhlpBLyqXKsjHS0PFC6+SKhjF65IPGUO8lSgP981n7+Hjkxinary5Fkb5b0ntn6gvza5s+o1wrOJ6H8Px5Hfydi7y/5B0w99xYY9po+oEbkvl4p/cRAwzt58I+/4eu7MHOW3qRHa5clk0q4F3LE/i305LiGZknimu2jkWNQ3EGb/6+0l/Aln+4QcA833Cs6OJz9GD3m1SeNJ7A4imtJkPIv4UBHNbJFojA3n/aBjrWJVmB9ktkLiX5JH5k1Rd9Dtc/mcGVD9eX6393s8JfrA/OgTKGEUne40ZCEyaNH6qfu8Ycn4ukucmZwDVoeXoyloK5SENhf4OfAdBgBoCdJ7uCKQNAgEY3AADBNgBhMljURl50vsoGBBNzkMYIAIqESxMOFX5MGF+5MuCTnQSXgEWE7zetSGFhWxWlgCrhI5tG8cARItxQYYj3E40HbKbqAmcETgEAdp85y9PF50XDqIJl1R2MB+NlEI4PIhxZbvqw/wxMuR4TFlztcMUDMu+idfLVDFJANqfx+z3V+5zNP65N4vIF8lSayWk8fSiHB54cw66DOQyM+LYA4Gqfa7xIea0VRia8SUoRLT9cbdWsPBTLk97f8L0MKpDGDVfqDT18iwD3ZuB0OgVzRhR9p/gqE88Trkqz+iT3dB1c+EHhVEk17eSCm6mD1iu9F3wVml5TOjW7luYN6/mTCKrUcflNqp/2F/fA4HTzOq0Ve9heI6qc/CjmNYm5QEyVIKo4m+s8oZf/apJH8qyxwoX81PgqeQSI9dC+Y30aZ0CzDFbsz+S1jAeQ6Qj7h40Jbrygrt15VpdUvqXUInwHdE7j6LZhbPnJQWz7zRGM9o1/rr14tod/WV+9I6t+tzMTNXBLXlXSAbwS+FhxpeGygKQcmnS8bOs9YM+Tb3dzzQXGsGQtDLD2RfoFxXEa0kAaTOekGJuDFeaRsLBNQlpV+FTvO6+rv53Ef3V6C1qTZMy4nj3vE/58eRyfLzUrQ+pbOl/G0eK0vph7ibBC1OCYj6EyvXfqEZ7nYdGiRbUmoxLsOtkVnOxDAIEpA8CE4fE+H5csiIa3JBVmNiscGSHcxqzmUvdyTa5pOJ+IpF9A/kwXZQoGvpY/SUTvBaU57QEfPC2ND9xVXwcCZn3gL24awf2vakN7ijaGGl4Q7QcTTpPzfgaLN3mkFQPN0pgLHs6t+SZNePigSRs8R08VDyc0yjsVhAEyVpQ9jiwaieIvjSOprZH2ULpZet+Rnt4rjUeP5avGyF6/OOFU/inyPtDTm0dPbx7ppMKMTg8zOhNobwn6hH57F7CFN2N8kZ4jF/L5Kedgz0OhsHpMFQdaZ/hMTR4iTNJDLU2dyTSw/CJg/UuBli5g6CgweBgYPgoMHgGGgr/Bw8BoL+Dni/SbsqhBiW6BCeciUifvamq44KtQEK7D8UbHLhAZs3yfKxWw+HYbK2EF8IX2SuOetlsDxU+KaRJv2qOi+c093SoUjg3Y8wEfh7x5dKwR4TBMY5VHx7Cy+5SP5Qgf0MU+ktrEeYtv+gXFcUDHLF1x5WVYj5LNaz6r2/QjTU/ptcattp+pBqA8IN0OpDqBdAeQ6gp+g/t0Z+Ha3PsZYN+NwP6bgfxwsS2ethUz/qlAapSS2knbYb0PqthP4TjQdl/TDiHzT27Ex6HHhtDz8CAyg9X3XH3hXA+P9Cdw9Z7xl/1UXx7Hhn1Mb6E8OoZvxcW7woEYPgT5HeB5xDHK6TM0oPgeSOH0iw2KzAHm+UoVW7wE0Xsu44RzuNAG3h7eFzS9gQ986KZB7K2zlecFHR5esZqs/vM5hB5Ka9psvU9kPrT6QRflcqjieyfxQNqvipUjve8h7wDsd5nRbl0HhanG3/+/cOFCpFL150Ucg50nu4KJMAA0xBkADWYZErG132dCfACtsbDNw9FR3wqOuI2ba7O3nFs26X5zCSbOtcIL2MqMuZfKof5+hHlsnJXA8+cncPP++tqLtK3fxwfuHMW3n9sCa4aV2ikJDC5BgTNPnkYS8hTLExHMBZqowG6dSM2EP7oSIK2KmGfHx2H4DWwmIHABJ6IIQB4jIc1COtd1cH/f4eqMnQUtCn+zvPLDKTM5jQPH8jhwLI+mlMLMwBjQ2qSKghp/RnS1jyt7IOmlvd7mWWkhr6QARZ6vKioM9FvmAJAZAx7/PfD4H4AVzwXOfytwzpuAhMBotQ8M9xaMBEPEODB0WAg7AgwdK+SJU+ytk/B5G2kHmn6E3R/0dG5+4jl1f7YELfIseL9Jn+e06tcsTkfj+Sfe4vJxYZqQE8JKQ9ooekCo6ByhSf2UJmm+4PVT+i3jFJkf+fzG338qSPMXWpwDtR0f0qYDRVkXBHSFaP1mnNN+Vh6QbAMSzUCqFUiav5bCb6oVSLVFlfi0+eso3qfaWAMFaB/o+ROw48fA/psAX1hBpwoBH5Oeksee1FfWHE/mBmq84O+cuQjyjvTm0PPQIA4/MQw/J/CEKuJvVyRw22EfPaPjr+f+gzm8cEkwT9FtRuG7Tp4TDY9DnDFATG/qQnGsuj716Xw/HOnC8YzoGLfGt6nPtFEzI0FQqbU4EMRz4cOMGWpkpHSJ/EYVv6TBTqm/cVcG33pwRGhkbfGuM1uKZ1JxryyLX2n7ns9loSFXkfcR9vzoGgeUN9FfNkVGjASK5edfk7HSFSOOVPnMpIlGg7n/A1MeABOHNWvW1JqEcaO4BSDKFZo9jZlNCodHzQQkCG+Sy5jkFmeEBDpRWJ4ELCxcmYQ8AfHJKk451sAHNqRx16ERjFTPi7sq+N8nsrh0YRKvXZaKKlAAaSu7p0KDFvrRXBvwCZ1Dmsx5HBfyqSBIXVvpo6DGAP7cwNJL41BqJx1L1HPEGp+kTn7NyzXtodWzx3DfoeoYAN62NIHmcX6cYiyrse9oHvuO5tGSDjwDOhJoMV/vkASA0BgQRBjFir9jXGCkn6cMVzjBDDawhUYjBJjyqCJK9+jDB578I7Djj0DbbOC8NwLnvRWYtrhIt/KAthmFP6wqr4Oyo0BmEMgMAWPBr/VHwkx8dggYI3FjQ0BuGBgbALLDBS8EKmib9hjPCCqMh4oj2FzJ0wblUMNZWLYwn3HBTTosUdp+Jb3PVFCjdJj0khBuYAxOVMCXBHWXgEnnOdNnRgjmygdVosx7bxmmhHopATSvAoBEwQMl0VT49ZoALx2EpYFEC5BqKSrtXHlPSdfCfaJJIqj6GNoL7Pgp8NTVwMgBu+/CMWL6gioZrBz+jkrKBH8mlhJD5ACe1+grvkbf7lH0PDKI/j0T55HXkgBev9jDV7aNfw6/zxgAaJ/SzowYwVU0jvM0CilNmI7JYKHBhT5X9pwpJAON632VZAg6DnxNPs+K4rwW3gcX9N5qK22LJoZRQpw26Ui7IrSbehSgFQYzPt5xXX2d+g8Aq6YncMmSdJQXhC8HaXPYRs2eBc1L+DbNGHoDmHJMeJCGvpuA3Z8gYeEcL8TR67h5H8AQPyS1wdCABoCdJ7uCk24AUEr1aq2PAphxsusaDyaFAaCfuvgjwgAWtnk4MpqH5iv+9DcOkXxUgXMwNBcTk+4lpYULrAqY1aTw16vT+Oqj1f+M23jx17eN4rzZHk5pJ9+FtQwmREA2igVVzKgwETLFALQfKBMNwxDtL4np02vKoLjA4Lq3VlgDWEKnMJYkbxPaFpB2S4IWikksBcn8SmNHYmqafDJzHOhIAS+YW90jVEYyGnuP5LH3SB6tTQozOjzM6Eqg2WwroUo5V6yAonAFFCOttMIzMGMy4vVB6vRIGXHThMk3cAi46UvALV8BVl0MnHY5sPL5QNf8yjsl1Vz4a5tZeV4XcmO24SAzBOSzhT8/E1xnCiuveeE+lwH8LMlD85m0JC5P4nRwrwNvLSMwGsFZmXsU4+jg9X374DCanqeFJkp3MOZVAvASgPKC6yTgeUFYAkgkC78mnUfSIUiXINceTRv8wSt4gCgv+EsCyVRBOU80Bcp5GkiSa49cJ9h1MlDseZyqv0/DVgSdB449Ahy4Hdj/J+DQvQhddLmbb/i86TWZ/82jN4ocwLYBkHfbY/OJyQ/hmh2GONCTxZHtwzj65Ahyo7VZEfyzeQl8fXs+8tGGSrGjNx9V0ihMmGUwDZ4B5T3cUGKUPW5w5YZAy2gt8L9SnpYCyWGY9Fw5j6TTBd+eQ8cTL4cruNaZUaQcXhmVD0HzMSKD23+6dQhP99eXpycAvPucFnjhqrnQ9pD3GlmPyH9mTgaKmcLmm0Ko/ANbxg5BxksoW5Ls3JOQGgG4TETDzLVnxzUnFPbW4bOoBA1oANh1siuYCA8AoLAN4IIJquuEsGTJEqTTaWQy9adUlosDwxr9WY2utBImJaApAcxqVjhUifucpLCF+1YdSp24gsAnecIMzCSnwZQ/FCc4htcuTeK3e3LYcby+3JL6MxpvumUUt7ykFckEim2yFDPaVirAo3jNld6QZwj9BJKGCnsgeUp5FWiaH/Fp+WneEkORZBfN4iRDFPdI4UIrhaSQSnSwIXSgCq5sZ3Z7aDqJR6gOj2kMj+Wx50gebU0KMzoTmN7pFYwB/LlQQ4AZO3wl2gikGpH+iAhhXAAwBwVKBiduQDACEVBQVrfeBDxxU+F+zmpg5SXA6ucDSy8srM7WAslAqWyta5v0FCYjju8Eem4vKP09dwCZ4+TdJC8mnYMBW6g399CADvLRs1mg2PtrFFKqxAYTozFAG0TmaGCkN4cj24dx5MkRjNXBZ8A6UsCydoXtAxXIMQJ6Bn03vwOihgGq+HLGw7fKhfMiIPI5F4/mCyk0T+gloxjdrCwJXPnn4S6DgQmkPD40QKI49kw6UdEU5MOwryQBQuNPe3L4xv315/p/zrwkzpuXKpJqGcbZS6tInDEGmHALXBAzPyo6rrQrD5EL6CGnofcGkbON/M23uLnmGgALuzw8cqjOXG4rRIMZAMYA9JzsSibKALAddW4ASCaTWLlyJR599NFakzIubO31sXFWQrbcqqIXwAmpQFzxLyctEDUEUIZGXd9oWk3KEZBUwIdOTeNv7qivT8MAwO09eXz2oQw+cWa6EBCu6MHuE4D0KRDuuTMTteQODwVrbx5nwuKjUeKlRVMoVFQoTHChqZSlWcpjCSAkMXel5qsj1kGETIDmIMWMVkGGXdlRoo+qiKExjaHDOew+DKSTCh0tCp2tHjpbPbSkBUOR9d7Bfg50tUbclhPkNYc+cuETpBzunsiftdnXaZ5ZzxNAz1bgjv8qrOQuPb/gGbDq+cDc9aXH3RSm0GgYPQIcuLOg8B+4DRjcZ8cb4Z4bOaWzdqR515xhEfKM4NcX3iW64k9fVO5OroCxgTyOPTWCI9tHMHS0up9MrQaWtY3fAJCP9CWiPIuHKZaH5jXgLvJ8xZvLUTzegPM7KhdwLzgOrshLPJin422Wutd4gxkjgAoyWh5pQOQcmzAtlXdoG4s8azir8fbf1t+p/wDw7rNb7VfI3PBxQdPQ30heLY8vcyHJRZH0hjdrhGcoKBSuNS0EZLzEjBumO7QkFaY3e9gyZQCYSOxSSp301c2JNADUPdauXdvwBoDH+wMDgDR568JJ+rNbFHpGhAmlFMpR/Hlal5eApNzxa8l7gDC806d7eOmiBH5ThVOBq41PPTCGS+Yn8Kw5CZvxAbbSTxlghEkYgYHlh4oKAJZwQg0osC3UUnqrnx2GmDghCWDuppQWIaxUuKGbe0aETI61iYMKTvwrF56qyvekW2rkfZzJaRwd0DganIqcSih0tAYGgRYPrc2CQcCAGqJMXGQliuSlxgJjEJDO+gjLgj0uzIGE5peWmx8Ftv+x8HfdJ4GO2cDy5wKLzgTmnw7MPxVo7jzxjprCFCYaQweAY1uAo1sKv0e2AMP7C3HSyi6fh6iCSPeeg7xvNJ/lwk8MAYpcUGUL7L2lr72vMXAwg749Y+jdPYqR3voW9qsxh3vcoCKBx3OlVgqLyEns3nomJL3UJmtbForX1vklgmwhelKGGew6rLboojHI5JWu6ZYBfpo9h7RKbskP2hqTH79tqLA9o85wyZI01k4PGH/YFoF3SjwRsPtKsfjIr3aMB9gFaKCwIKRYfyq7zzXJY8l4kMcMwaJOD7v78xjIVCD/1yGWLl1aaxIqwa6JqGTKAEAwKc4B4Pub+USlgAUtHg6NEC+AKjBTEZHDYihdDuU/Lm/kIB3gPWtT+GOPj4E6+z6pr4E33jKKB1/Viu4005ZdAoAEyhAAYbLWxXgN4UA4bfdl6C1gBEQQRkHK5koeHyNc6IkbQ5KQxQ0IEeap5Tp4f/B7vq9QOJuiGp771fAiqAayeY1jAxrHAoNA0gM6Au+AjlYPbU3KvbAeKhhmPAoJab/nSXqAPSMmCAGyYcf8ht4BQcLjh4AHryn8mXE8fQmw4PTg7zRg/mnVPQtgClM4IWjg+C7gyCMFZf/oowWFf+RoUXnic6LlSUPnLmXPg4B9KJvJS99PfkgkVTA0+aNfuDD3oTKmkBv10bd3DL17xtC/dwy5TH1tp4vDQBXsE0UdWtt9aXlKQFaOLL4ZAz4WzNxm5tzQqMry8fETevhpe1xYdRH+LS2alOUtwMajWRQw7Yh8Opako15i/ABL8yspvIQ33LE3iy/dW3+u/00JhfeeHWxZC/ukKFNH2lNKpubKv/RpP95XkQJoneaedCY/ANR6DtquB6QcH2Hi1pTC9GaF23c37tZoAEgkEli4cGGtyagEOyeikok8A6DuMSkMAP0+ZIHeKHwaKQ+Y0+zhgDnEJ27CKncyE62VJ6iUuwwHQlh3WuHda1P4j4frb4J6etDHu24fxU8ubhHPbwmvy+kmielHBAAUV2ilb1UbZYvvZaSf3rEEDaY8A8U9ppx2+ok43iYX4xcEALHdvCw+PiRGSQ0DFvNTxc/3jANbx+l+erKQ84HeQR+9wTd7Ex7Q0eIVtg20eWhr9sgBRgThWIDVV2Ec9wihEI02Zrwg+kzC+kjl2hRExt2Rp4CjO4GHf1msp2tBYAwIDAOzVha+NCB9dnAKUxgPskMFRb9/V+H3+E6gfwdw7PHCIZJ8mx2df11jnh+QGgrj5F0DbEWLC+4cdP508RMF+BmNwaNZDBzMoHfvGAYP1Z9rfznQALb0j99Y0ZxQtiLGDczc/V5S0qV7F38zcdYnPbWd14TTMmh6Qw+tM2IoomXRtCUMBpKBgI9L5bpW0bFO6edbyIQxe2TEx59fe7wscWii8a4zmzGnjR7AUZSnLbd7/swlmQckjv66+oejlDwVpmMBdIuQVRBJE9JXCFvUmQCUwiOH69sjqBQWLlyIZHKi1N2qYNdEVDJRPfLkBNUzLkwGA8DWfqYY0ZkotPopLGgDDo0q5F2KVJBFBI+XJjeJYbrKijDWyljAyxcl8OvdHh6rwunu1cbPnsrhjGlj+MiZ5FNSXDcv1d+SNd1kcipVJj2JNONBZByCgieVLTF6LrCAlAeQ/eSsLF6X1T7aBp5HR+N42yWmGrRzbqvCtn6hngrwYK+PkXzttgKUi7wP9A356BsCcCQPTwHtLR46WxXaWjy0phWaUkroY3LBz+cwUZbAQx4APdDMtZWEVWF5BEj1AIX3oHcv0LcPeOz6YpyXAKYtAqYvBWYsBWYsK/5OX1L4isAUpiAhO1hQ8Pt3Bgp+cD2wCxg+HCQKBho3nFF3XsA2TIZzUqAgSHM0NVDy8zpMeaR6+9OShgbN5sziuzx6PI/BwxkMHM5i8HAWw8eyJ2yTryc81KvRVwV7/8KO4IFavCmYe8RtcUCE7/Frc09/weLEuZaEU5d/Xgafa7m8FjEq6OiY4t4BkrHfZRiQeLbURqu9KpqW8XlfA2/69QD2DtSfDLdhVhKvX9uMiJCiyTUQlVt5/2k+UEhx1md37Wqse03SusaSxJNpeSEZdGwEtBKPlPa0wrSmwrN7pEqfTq4VGmz/PzCZPACUUgNa6x4AcyeivhPF6tWra03CuLFjwMeYr9Dkca2ITuhAUmnMbQH2DRejrV+XMs8nGXMdEV6EvBRUgRgnPAV8+NQU3n77mPgFulrjn+/PYFV3Aq9ekhSMHcEv7S8qaEoCAIXYt+y5S0KGiaMuiNwtTAmZLGGWChpcSCCGAmo0oC6FvB7JiKBVcaXNMD5+4JAkfPHxqRGuRCzv9PCnA+NjaIM54Ff78nj94jq3ADD4Gjg+7OP4MFD48H3BS6C1uWAMaG1WaG1SaG32kAg9JcgAou7IfLXTJKWffDSKiyV4quKPy4BDtydYA0MVx4UJzueBo7sKf9tvYQKNB3TOBaYvA2YtBaYFRoKu+UDHHKBjbuGLAFOYfMgMAEM9wNDBwu9wDzDYAwwfLPwO7AZGjtifuTQw83A4j+jC62IpUrDnGf6pUzNXeeSdsZQsUpeBxWfpexf8Wgd3FufffF5j6Eg2VPYHj2SRrdFn+k42rnq6OsrI6uletJ/pVBMedOpQhjlKbRXgMpTE26mhRxoXkTqFOC5bhTxYR70PLL4Mm37p6zuuLQYuDzE6/1Ows2T+7a5h3LCz/rw4Uwngoxe2kG5waNwKKHpSsjhNHwjtJ/bwqFxmGRlYtXEyMyWNy5GljAV07AFY2FGUbaa+ADDh2DURlUykT8Q21LkBoL29HQsXLsTevXtrTcoJw9fA9v48NkxL2AodgMLkE/xqYF5wGGA+ZDyQFX16L4HNb7GWcW4giCuvAqzu8vDqU5K4eld9TlRvvnUEp7y0FefMoofIBOD9Ja74M5TbR5GJnsVJLohhPFXCSBhPHxoPOGMLfiPulNr+/BS1jFPlPzwskTVUOa6ldvNrX2Pj7AS++8T43V+/tyuPS+Z4mNlU4WCtM+R9YGDYx8CwHd6UUmgzBoEmD60tCk1pD0qTgUTd/umXKCLCrvBAjFIEFsWFF7N32QMbk0bJlwTPgC7fB/r3A337gZ2324qYobe5q2AM6JwbGAVmFwwDHXOKRoKOOVOHEtYD8hlgtBcY6yv8Dh8uKvmDBwrK/VAPMHAAyI1EeZI1dwQ3kp4cGg1hK1N0PJvxw0/RB0lrhWk73CoP9txP4+l35IO6RvpzGDxaUPYHjmQx3JeL59GTBL/v8XHnkeoYNi6cT7YNSbIKQOYXW2GNGpjt5xMZb5JMxI0D1LjqksdMWdKhu5KCGI4rUoBpj6QMmjbTdsUh1lsgqFyKI9c3PZ3BJ28biq+nRnjH6c1Y0mW+5wywh15M6Frdt0B4Fu0XLt/QBZIwT7RKixyhGuuajxNuKGDxHWmF7uZCvWN5H08crU+5ulw0oAFgx0RUMpEGgO0AnjuB9Z0Q1qxZ09AGAKBwDsCGbo8JP2z2UIVP6c1rUdg7rO2JxDHHxQoumsXT/FwI4/loesSkKzG//s2aFO48lMe+4fqThEbywMt+P4J7X96KRe3B0ioXGqTDnvgKq0Gp1YgwHeR+lhiJF0TybSFx4AJMONYYnXyFwXWADjR71oT5GUGGCmSa9FEcraTMC+dUZ9rrywCf2JLD185KIdHYNgARY1mNsazGsQHAeAt4HooGgSbjMeAhmSJKOBeGeN9I77L0VQsuc3H3HjOm/CARFajC8QL5k6imPE8Bo/2Fv8PBUTV0Rdi8FxpAuhlonwu0TS8YDVq6gt9udt8FNJHw5s4pLwOKfAbIDhf+xo4XlPmRY8BoX+HPKPejvSSsFxjpBfIjUYXexSOkVXZJcaM80jJWIjqvUP5HT2YHolsCKDh/tMY7EfLDshGO2/yYj8Ej2cL+/SNZDB7JNdSBfdXCU0Ma//54dRSRjrTC+pnsa0lmvFCeAiXv2acHrNFtGNJ2KYqwDMXGMEvPPVIAe5zz7ShxiiH7pru98s/zabsuc815Lk1vbX0pQ/YissD+QR9v+NVAXdqu1sxI4I3rg+1jkTmA9wFPxMEnIiNzSw8ZJE4yqEhVCXHSvMjbwQ0CQZpF7cV3Y+uRfPGTmQ2KBjMAHFBKHZ2IiibaAFD3WLNmDW688cZakzEubO3TwClgL7aOCj8oegHkqJJFwYUtDq7wmzzSvRQep9xLgpeLNgCtSeBfz0rjr+8Yq8sJq2dE42V/GMHtf9aC9pSyleGIAMAUW0XCAPvAPQo+2VOlmaZxpZeYmCUASPmpAMDKUGzQhSsPRACO5KHlsAESxjGB2TWGaJkB1k3z0JFSVflyxOZejY8+ksOnNiTRVI3PC9Q5fB8YHNEYHLHdcNPJ4vaBliaFprRCc9pDOglYzw5g44cI13yvaTim2IPlAq05NT18P7SdJzSwwfYioPMj9STwYY8pk2ZsFMjsAnp3FWmkgj83RlGyE01AW3fBMJBuBVIthb9kE5BsDu6D30RT4TrZUjA6JMlfKvj1PEAlgvo84Y+HJ+xwANA+kM8Cfhbw8+w3V/zLB/c6X7w2abLDhcPyjEJv/jJDQC64zg0DY8FvdqhQr+lAfnCo9A4bN2zJ08Ml7PI5yZSbR3Gc5XympHElRiCG00jnLj5eFFDcqkIyWgqcGf8afk5jdNDH6EAeIwN5jB7PYehYDsP9jb36Vg1s6df44INZjFRpK/LGuUkkOB+L7B8kPA+wFFdrgjD30hkNXNn3i8/bOjyO0iHJYSadGTPWZ94YOD9k5IrzML/n4zhsmxbeAYfMoMD6zL7P+cCfX3sch4brz5iV9ICPXdgaNezHyRj8gWhXh1JIYdKAIL86+OVnC0jjQ6KZy02UPAV0Nil0NhfLa3T3fwBYt25drUmoBA9PVEVTBgCGtWvX1pqEcePxfr/4QvN9QDRMAQkFzG9V2D2kiZttkJ5aCAXjQUmlqxL9ik9E9Noljwl1r+328K41KfzX4/V5wvFDx3z8xa1j+OULmpGgSjAHVySMEk73B9IVLp6WuuRLKxu8T13PkTNySdmOs/pTBc/kp23mWwoibSSVUaNIqOyRhodkaLtPmftmQgGXLkrimqeqM0b+eMjH392fxedPT6E7XZUiGw6ZnEZmUKNv0A5XqrCVoDk4bLBgGCj8NqUVkp6yxywQVQat/aLaHvcmHd0iACDcAmAEdOvdMMSB3Ji8yn2Su8kveRWERgVNiiRty40B/QcBHLTm34gRgdJClWPTRgAwHqnkTJfwns4pfE7g7zj9JJ106KI0Jxj+ETaRPBdpCwgH5ynGUkuV+/C5B3XltX1IpLXXmPSTqLAQusO8Qp18CuNu33wfs8SvLN5p6tGMLmBsNI/R43mMDJLfgTzGhhr7oK2TAQ3gDz0+/u2xHKrp9PCKFcFEzZVkqkRRIlzEQbvfs4jSTOaUUJkLrum4NNvjrPEeFKyAiEGU1+kp+f3jPLgU6NiWwvknLWk8/7whPzPA1/jon4Zx2976lNPeemozlneT831oXzhlJ83GkCOuJHinOx4Y30rAiaQGpnBMEwKk56uBRR22Z0yjGwCUUli/fn2tyagEj0xURRN9BkDdYzJ8CeDxft8WiDioeyuAuc0KB4Y1svwwJC74UmjHdakJjpfFJ0pXuZSeOAamgDcuS+Lew3ncV6W9gtXGb/bk8KF7x/D/NgZuwZJrHVWEoYTJnoAKB6HyIjwI1+okEO1TSQmg48HEuZ5FuLWBlm+UDdpm2GmsTx4xgZvXDSBiYDCM1nLjjLbrz5dWzwAAFFao/vyuDN69IomXzvciZyc9U6E1MJrRGM3IAyWZKBoGLONAEOaF8w9TwNghUgVlMoizxqcklAXvkFZFhVajeGAbSD6QvFSJ5HtwKR3F1tvvB/UwoLDON2BjXjofI1xAJ2Nfkfpce0tNG8JDNWnfmLqDANpeDtqfdC7i2zg4XAqIpbAru9/NL+1jbijiXxkxHhxUIecr7pxea+4kccbAYs27ZD6mtBLHhlzWL6ziD+YxOpjDyIAfXOfh16N7Wh1i97DGF7fmce+x6vLxpAe8ZlXaoagF4HzJUvI5/2W/PA9AxhUrI8LPFQrGSyITcCMAP5eA0k4ZT8TzT+C5NFxqk+v9N+XTeOWI4/Kh1vj59jH85z3s0Jk6wYppCbxlg+PLMdbcB/cYKmc8nTDYQLPGHys4HGuCICfI2t1NHjrSNg96uMENAMuXL0dbW1utyagEk9IDYEIONRgvJoMB4Il+P/SKtRQnpvibOA/AglaFXYNa3ltG5w8+4XFZptREx4VlKjjFIW6yZfR6AD5xRhpv/tMY+h2KR63xpUezWN1V8FYAEBUqIt+LJgxfgwkAVLEnykJk1YoIFRDCOfiz5HB9493Q72KC4RjQcrlhfbQMouwZAYj2EVUKQmWAKkSkYKXw8lOSWNzuYfdg9YTL/izwucdz+NV+hXevSODMad74+PwzALm8Ri6vMTQqx6eN1wAzEqRSCqlkwZsDCQXnnMTHnBWubWUeGpFPtpWa46SzApQjrxm73HBhDK/WpxAhvE8kgNIYOTjOvAuazN/MsACShys2VMEwQiVvI+cJVv9ou06X4hH2CS2H5TXnOxgCeDus+YkItlRID8txgHoEALbiFLY1Otf4eR+jQwXFfmQwUPAHchgZzCNXp3ynEbB7WOMXe338fE++sDWxynjT2ibMbfWi41Eaz5VM4HzMWeEOXsfP2yFfdhB5meGJlieUed/J+wZlr9BDRWUB815zTxiXzCaBz29xCMq9ryeHN/9mMD5tjeCpgut/SpJ76PxHw7gMS+O53MznXBop9b0FPlZonOOhWXyRCf8RzwGFRZ1ehO5HDje2AeDUU0+tNQmVYvIZAJRSI1rrPQAWTVSdJ4J58+aho6MDAwMDtSblhDGSB3YP+ljSHsxWWpjg2f2cFoWDI7qwx87EmclO2kbAhVxeJhCd6KSJURLMpImQM2UuhLK0s5oU/vm0FP7xvvr7tIzBe+4aw/JODy+Yl3Ary+KhO+aXxHGBWwt5rS0BROi1FGRWv7l2wfWsxbY48sYxPk0uFAmw9nuDGEE08yJA1BihNVIecMWpKXzgrrGYxp0YHu3XeM/9OZzSpnD5Ag8vnpdAV6p0vilEkclqZLIartnY84BUUiGdVEgli4aBlLlPAqmUh1RKIWFc5yP7epWteEtCH4VP3h0zeJUJJwONH+RFP7epg/xm9RooXvskfUijIcZAEUUd9ntofq13U5P5xNyzl5beWvuZyTtGVzDNJzqleZ+fNB4h0G5KZD7nHhggtNO5hJdvbYmgUUShFz0Dim3O5YDMSA7ZMR+ZUR/ZMV28HtXIjPnIjvrInwzt9BmKrA/cetjHL/f6eKD35HruffjclsIFfUckuBR6Ka/Ey6TXVkoboUMh9AIw77lieeg7bPi5xefIOwsQRc9UEVyLn/ojbeTfnJcOJwTsNsS0e9+gj1f84jhG6vTdefP6Zqyenij/mZswbhiQ+oPmseYoJq/QdNK9KC9pOW0YRud5yjOKhExvVmhLmrSF4N4MsG+gPj1py0WDGQByALZOVGUT6QEAFLYB1LUBQCmFNWvWYNOmTbUmZVx4rF9jSTuYcmcYCiJCktLAKW0KW4+ziQSIrvRKQh9nalSgk9xlDVxKJp9MpTR80mV47pwEXn1KEj9/uj4tmHkNvObmUdz10has7WYrEmFfxUzs3I1Q2hrA99rzcMlLIISK5pG+TKDYbynBiKOUQMHL4rQaJiqNhZiwd6xJ4dMPZHBs7OQII08PaXxlWx7/9WQeG2d4OLNb4cxpHlZ1qEn51YBawPeBsYzGWBkrrsZYUDQUKKRSxICQKsYlEsS4pJU9l4X7/7X9C8A6e4AaBySh3wjskrssd/0382mCCfuWok6UXEkRMeWGCjRjBObd5p8hpR4SkfLYL91eQIVjQ581Zxl6mNGEIqyf5wsqlTwb+DUA7RMlPqORyWhkR/yCMp/RyI6aOL94RuEUThoyPvDYcY0He3082KfxcJ9ftQP+4vDy5WmsneY4rZV6lrnO16HGP5eSJshXIpyyDwmg75GVUUijaHxQMN0CFSr7Gvb+cPYemfeK90M4T5F5xmXsEGSzoazGy35+HPur6HVXTSzpSuCvTg1c//lc7wJ91q57Gk7D6DUfL3zcuAxONC3lLWJGOn9HhauFHQkyDgrPutH3/wMNZwDYqpSq/qqUAxNtANgO4JIJrrNiTAYDwP1HfbxkgRcIr2SCNxO+JpN4EN/dpDAtrdGbMeGkQEtwJeF0fgnnDia8UgHWCISuCZGWCxYfNwlCDn/vuhQ2H/PxVJ1aMfszGi/9wyjueWkLZjYzYZYbT2i41X8xyo9L8XddGzjPGiB0iNdEQIpDOYyzlBDFx6JUh0nH6QTQllT48Olp/NO9J3e+zfrA7Yd93H4YAPJoSQCndXs4rUthRYfC8naFec1q6tyAk4wTMRYkEwVjQCKBwq8H6z5pwpNAwlMkTaGM2PkSEMY7e1/DuMCQkNfu98FaNVe2cc/5brFA6RwC88vfydB4QQJpGs3zE9ojB5whOgexx+TnNPLmL6+RzwP5nB/8BmE5jXxWI5fTxZX7MX/KJb+GGMwBO4c0dgwW/rYP+HjsuEZ2gllyQgH/emGw+s/fFQNuEAeYsqVkg7ckB4HFu+CSf5wGBsdYDuvn8wYhkMpmdKsPYBsipS8Huc72oHMA3brDuvUt1w1gc50qlJ4CPnZBK1L8EOxS8oc0LwLRsVDu8+eKvWvachleaDkquIi0IVrojBYPrSk6Fxd+HjlUn4c0VoLTTjut1iRUggk7ABCojQGg7jEZzgG463AeQOB3bCYCI6BpFkZcqZe0eejP5OHzGctloeSTngKip48iOslxYZReU8WXlsPLkiZbVl6TAj59Zgpvu31swgWOcvHUgI9X3jyKG1/UgibzRpq20D235t7EG0h96IJkEJBWMiOKgCCk8/w03iVIhc9SiOftkvK6yosTxqS8Ad1/f2oTvrcti619Ezc4RvLAPUd93EO+9NqcAJa2FYwBy9qD3zaFGU0q9nFO4eQgNBY4JbDSUIoYCzxiRKAGhGRgMEgWDECep4rHeigEX/ErjAEv/IqfCsOUZ8KVtTgnSo5cuDRh4fvimGCNosCTaB3oURpaa2howEdoX9bBYXxG1/L9QEH3NfJZFH6N0s6UeD+nkcsTpT+vY+2cU6g9Mj7w+HGNe476ePS4xsFRjf6MRl+d6BDvP6sZp80MTnbnnnGuQ/mkQzklTzj65RrAPk/Cdf6GdB/WQ+7L4ecuJZJvH9IsgXXYJekTReJc7eRfKdFwbCnQ+Njtw/jFtvrdjvkXa5qwfoYZG5DlVfrlF0kWoXHS/Mo9Z8sxDkiGJT4+IMSXIw8GcZ5SWNzpRfOh8T0AWlpasHz58lqTUQkmbP8/UJstAHWPyWAAuPuwD9/XhVUoav2NHMxkwgrXTZ7GvGaFfSNMg9II04SGhJCpKDZxmLJhTz7Gei19o5ROkNIp2ZxBUrgMBAGWd3h439oUvvhonUgiAm4/mMc77hzF95/bXDDYSy7AIH3nMsZIiFOGReUfRQEgrENF00VcetkYo3VQ9+QwPaNJEjgoPeHz1dHPhpVS+CMCUiEg7Wn88OJmXPirYYzV8Ctco/mC8Pz4cfshdqUQGAS80CiwrF2hfaJn7ilUDK2BXE4jlwPcL2d1UTQeKNuIoFR43IciRgbzympdVLC1+YiMCdM0nZ12Cs88+BrYN1JYzX8qWNXfNqixb1hP0CivHOfMSeKzz2ot3Ejn6lBYB+4K/Iwq9eIWHG3zuTi45Bqu7FEl28XjThSG3/KDh0O6SKURpZUaFhSKW3WKNF756Bg+d/dIlYitPhZ1ePjrM5plxZ+eg2XkUkk2seQTyM9IOoTbgJfB46V7k08yKlQgG81v89BkDtJlstYjRxr706Tr1q1DIpEonbB+MKkNABPauBPF2rVra03CuNGb0Xii3y/sLaenQYeTOGWCQXxg2V7QonB4TCPj8xkjxnwZTk5shqHMQyv7Wio2oqCyYuOsqXzPFplwX31KEvcc9nH7ofqd0H6wI4fFbWP4zFlNUBGFGeHzKRpgEGUa5Vh+QdLQsul+QVoWEBWSImXFCFFSOqs+2h4+noR2SPszpXRhnawsxpTPmpHAl89vxt/e4TiKvobozwKbezU299rjdk5zwRhAPQaWtCmkS+1ZnMKkRvEokHKkxylMwQ0N4MhY0XXfKPs7hzQydepNJ6GrSeFnf9aOJqMHSLys1JY3jkosYEYGilvEANyGfL6IQsuI4/dUJpLKDEUzHeWRcfyXGuIVvQ6YKzmE97Y9Wfz1DfV54j9QIP+jF7Siyfp8IopygrR9i8upLgXcpZzz8spR4uEIk/LzcInOoIwmT2F+Ozn5XxfjtWp8D4AG2/8PTHIDwB4AhwHMmuB6K8Ly5cuRSCSQz9evslgO7jriY20X+6wHnfT5hAYNeAqe1ljcpvDkgDBjiOZLp9bIFDo2G2k+sxELOi+LM6VwYta2Qkgnb0KS8oGPnpbCm2/zceQkHfpWDXz24SySSuFTZ6XtCK4gA8S4guiEb5JJAgBPA0St/+Uo1ZYAQOsUBINSLpbUE4Gnl7YTKJDvmAvGEsu4AXvYCgLNu9am8MeeHH6yozEY3sHRgovtXWQbgaeAhS0FYwA1DCxsmTpfYApTmIIbA1lgx5BR9P2Csj+kMVC/TnNl43svasPSLi/KIynitgJQt//wkECWX/IqcHkO8Doko7e557yM8m6uiILd8/w0DY3j4huvz/B6aX881y5J2x46nMXL/m+gbrdeAsBrVjfh9NlJS/EFIPczEC8PufqdhrueCRD94oLL8OIyFElppHSkTad0JQpewsIY2HY0j4EGPzulwQwAfQD2TWSFE2oAUEpprfUmAC+ZyHorRTqdxvLly7FtW0PsWHDirsM+3r4C0QlMmuzCuIJSNbPZw8HhPAbMZwEV7ExWmMA1DHMQLeVkBhNXigWtkhsQQiMGuzer4zQ+mFi7UwqfOD2N9987np29Jx+ffigDzwM+eXqatAt2XynAOp0cKCrFrhXy8DcwvtBu5t8wp3kVooYEyZotXZv6TD2Kh5n2kLZZvygKIGH5yt4uYMox2wJonOtB0zES7Kf+1rOb8dTxEdx7uDENf74ufEN797DGLYeK4WkPWNJWNAwY48CsqfMFpjCFZxRG88CuIY2nyKF8OwZ1XRvFx4MvPqcVly9Pu5Ul1wQofDrWWjjh5UDgRy6jN00Xlq2KPMwYtrnV1sXb4xR9ky6uzS5lkZfHvwYVs5Xiyd4cLr16AP11PK7mt3v42zOa3TKCgSRDlRNnwqh8xsNoHuUIl8qT5DHp+buMCAA60x6mNyubflLOnfsa3/rXYAcAPqyUmtAXphY7Se9DnRsAgMI5AI1uALjzcLiZ07YySwyATyBaY2mHh0d6fXuhnuYRDQNUmS9lomRWdihGh0CoNdkqWEo/TW+szlY8cO5MD29clsQPnqrvld5/2ZyBAvCJM4gnAFekzb40augw8TQ9NZL4IAYEFMPB8lrlIMp0XEKHgcR4qDGDhlNFn68khDQKBgKTLjQgwI4L62DpKXHkLIL2lMJ1l7bgst+N4L4G3/tGkfGBbQMa2wbsvm9PIjQGLGtTWNHuYVm7QmeqRoROYQpTqAryGtgzXHTb3zFUuN5bx/v0q43PP7cVV5zVXAygMgvlbXGGgLg4Gu86TBewv3hh5RWMAtR4LXkM0HZwXh3yR1omoZEe0Mf7QWqjZvkj8cZQYafdN+jjhVcfx8HhOl76B/CRja1oKaUBxSnYUjw3yhi5CSRdXFm8z0OZDVEDAi3D1dV0nJPtgQrA0m4WAFjelnfsbXwDQIN5AEz4FvlaGAAa4vt6a9aswa9+9atakzEuPNbvoy+j0Z1W9uQRp+SRyb41CcxuUTg4ypQxA5dhoCwRw5Em4jFQynxNkmnWCAczfOeqFO4/6uPx/vpmUJ/cnIEH4GOnpUizVbGt1DITKs90hYAxe354UShcxEk4KDKPiJGIxPHxIwkYLuNTSKsW8hOhigtZtDzXoU6ShwAVlOi1AmY0K9zykha8/pZRXLenvo1E48VgDnioT+OhPtNfBaPHzCZlHTh4SpvColaFrlTJkTKFKUxhAjGSB/YGXj+7hzWeDlb3dw1N/Gf26gUpD7jy0nb8xWphG53FM2ArVhxcNuLXFEbJ1wIP48ZtQDCEO+6lbQWa3xvF3mUcN7QoWwaQ5EAI7XPxc/NLXNePjWpces1x7Dpe34Pvz9c04Zy5CbhXKiDLVAaSLARHmCsPN0QJJMSWJyn3/MBsIFqWBua0e2ihZ+NFZEbd8B4As2bNwpw5c2pNRiV4RhgA7qtBnRVjMnwJAADuPuLjsnlGe2OIm1CCyWlRq8LRUY0cn/hdOr5r0jshzUHiOBIHYsFaYHDhvUbKU/jU6Wn85R2jGKnzhd6PB54AHz3dLMsaxZ9xE9PuUNE1goiy+z5U+PlqhPnHjEXcCm3SRbwKgAgzkyzVTkOBLpZnfi2FnxTsEtxCAQe2ECTSIQhcQVB7SuHaF7Tgb+4Yxf9ua2wmeCI4MlZwCaafKQSAjhSwuFVhcWvBIGB+F7UqW5iYwhSmUDVkfeDAqMbuoYKSv2dYY/dwYYX/cB27WNcCnWmFX76sHRcvSsnKsOGfRmniCrGkD7r4Ij+bxnjIlZJ1uAhDwznfo5C8ASRPOc6LXQZx1xcK4pROQzdte/AzmNV4yS+O49Gj9S1UbZiZxHvObEFoEQqfu1kIoAPB1UdcgIF9zeUNGs3lEamP+Vh0icH06wRxBgdynfSAhebgP8d4OjYGPF7nz7EUGmz1H3gmGACUUj1a670AFk503ZVgshgA7jrs47L5JaRzUTkqTAhJBSxqU9g5pMP5MnZi4tcULgYbToqazae6ODGLs6Ywy2rHhMwsu4vagA9vSONTD9Xvt2kNPrY5A08BHzktRRRwsKYzBToMdnAXTRKHCrhrZYBxEe45ECfwUOMAtVQbSEyKPn+Xsm89fl1MT/PSOuhXB4yBBELa4D7pKXzrOc1Y2eXho/eNIT8lZ2MgCzzar/Fof7QzZjapwDiA0DiwuE1hXrNCaurLBFOYQix8DRweMyv5BeV+95DGnhGN/SPa+YW2KRRx2swEfvqSNqyZlizyN26wBpn7zXa4EBqWV12YhfBFync8Ff00XJxyR79SJPHMCD8T0nHFPySd8jOWVjqXQMpLPeTCww5pfcQI4tl9MpbXeOW1A7jnQH17zXU1KXzmOa1I0s9jRwwhkszIFOVIWnbt8qyUxFcuy1F5iVdF5SGahqfnoi+5X9zhFdpPDUp04URr3LW3/uXiUmhAA8CjE11hrb4mfR/q3ACwfv16KKWgRQWqcXDXEeKK5bL6ahIPRJjM7GaFgyMaw3mW3uVOZu4lRsgnPq70icqkUQTjuKsrXLJQFMIum+9h52AS32+Ak9//+YGCEeAfTw08AVxdYazzgPCsHWOZ7+WjXgRhodoeP5ZQxIQDWh3nj9I44XEO3ukETy/lj3gYkPZJXybQGgrAP56WxvPmJfA3t4/iwWP17dZYSxivgQd67XBPAfOaiwaBRYGRYHFr4RDCqa8TTOGZAg2gP1M8qHNPuJpf+G2kT+vVE5oTCh89rxkfPLsJzQm+RAo2vwdCh6VAGb7GFELL5T64pvJKaNym6RjiZBun4btIpt0ULp8JeWmbTRt4uLS9QNoeZ4wAEs0EubzGm64fxI1P17e3nALwqQtbMadFFRcLjFwZ9rnEkKjcLMmTLK0o2AoPSZKJJSOUJEPz6lxVmXEahLelgFltZPXfIWvdua/+ZeJSaLADAHcopSb8e5m1MgBsAnB5jeouC52dnVi/fj22bNlSa1LGhbuP+MhrIMFfcnogjEFEYSvcKABL2hUe4yt/zkNtDJNxTJKSoueys0QURMrYpYQSJM2zEPaulSnsGdK4paf+3Z3+6f7CdoAPGyMA/2wMwPiTlpsdgsRThZ8fuAfpuXILBKmf7j0ETRrDEOmYoK6ZtJpwryPJ7n60MTyaZOBjysSHHgMaG2d62PSKNvzP1gw+dn8G/Q3+aZyJhK+BfSMa+0bsTxYCha8TLDTeAmRbweJWha50ZTagKUyhXjCch6XYm9X83cMag40vV9cVXr4shS9f1IqlnV5UUaaGa8qDKH8zcpBlIAiK4Mo/LdrcaAX6pSFRqecLL0YpowfqcrI5LAO3jnoTcCO29KlCk1cCVfStw4YdMl4QnvWBN/9uENdsq/8V47ed2oSN8wKVRxJhQpmBjRcTyb1FRKHLJdCWWKHQQjpJtpHgMgxE5HlgSXciuo5m1VVo+53769uYUw4azANgwt3/gdp6ANQ9zj///IY3AAxkNR7ry+PULs/+hi3/nq1R2KRT1gF0phRmNAFHR/1iegpxv50pG9H9cvRQNolxmmvAZpI8TQkjaxgRsZQWLjxofOK0NHpGxur+UEAA+Mf7C54AH1yXLPanpAhL7oYSowjTa5JWF5kBhwYiHISGKVohCFNRxXguXJmKTTY/uI8IRqS9Fj0kH+fB0niS8kbaqa00SWj83doUXrskiQ9tGsNVT05J8uNFxgeeGiycTs7RnoRlEFjUVjQStE6dNzCFGiPrFwxb0ZV8TNpP6tUTVk9L4AvPbsFLl6Zi7NGEp5n9/5y/RfbbG17FeRxhFpSHkWrCNOF5Mia9oOy5ZB44wl2f4aV1M2UvAktPVVEjAfcacH15J/jN5DTecP0gfr69/pX/c+cm8VcbyBch+CsaUfilNCSAyJDFftV2HkXHkZSfEWAZXMw4RFSediLOsADMalHoSCn3eAuQhcI9+xtbvlFKYf369bUmoxI8owwA99eo3opwwQUX4Nvf/natyRg37jrs49RpCZtJ8MPiqJIMkgYIJ59T2hR6xwAfhCGEFnSSV3Kh4xOYdZotCTeGAsn6KSlw9FoyvirHr1FaFdCc0PjPs1P4qzszODTKK60/fOi+wtcBrlifsvuQtpEryeZXk3hqJHD1nymQCxi07FABN2nY8/cRGAhg77vkxgJaoAIbP6QOsPHBT7417ZT2nrser9QXXFDTwJwWhe8/txkfOtXHFx7J4Gc7cxitf+eRhsNgDnj8uMbjx6MPbGaTwsJW+0DCOc0Kc5qmPAemUB3kdUGRPzwGHBzVODSm0TOCUOE/MDq1L78WeOHiFN65Po1XLk8jQed3Li8Y/haGaztdeCCgxNeo0i+Fc/mEKswCTRHvAluuihyox5V+6WR3yXgt8S2XUUDyEHB5xvEtA1pjLAe87rpB/GpH/Sv/M1s8fOrC1uh2M5ecGNeP4TUbcDzMkqWYTGt98YhUoEg/WwtoFSj/EWNB4T6hgMWdCVlepHVq4KGDWYzkaOc0HpYvX47W1tZak1EJnjkGAKXUUa31UwCW1aL+cnH++efXmoSq4M4jPt65gjFAAJHJylK6dDFJYCxIK40FLQp7honRIMyD6LYC16m1kpdB6DJu8giTXtycxCfqkPmWSBdcz2xS+MI5abzrrrG6/zIAAPzDfRkoBfz9WvLRdtMuaWsA2LUrjWSUoc85jDPPjBiOqHFJNAqYZ06YH68HPN4wNtjPNkKvLhqiaBp6HoJLQORlSvyWjZdTp3m48rnN+PJGjR/syOGbT2TxaG/9e5BMBhTOGwAe7I1OCCkPmN2kMLsZmNOsgmuF2U3F+ykjwTMbeQ0czWgcGgUOjWocHCteHxrTODhaiJ9S8OsDs1sU3r6uCe/Y0ITlnYHWT+djegaNmdeB6Io5lQfEQ/N4zcTwbZXDCtUoLqbQBQ/NGY6Rm7gBAbaxPOSTsLfC0aLCtsPmvdxTQOLvJr1krJDS0vYBGM1pvOrXg7h+V/27iXsK+MyzWjCtmcgQ0vZXAy7/0F/aH2ZcUPlHet5WwUZe4jIxmPzBrQ+kPMsAQTMru0waroEFHR5SdJxE2lzsnzv21v9zLYUG2/8PAI/UotJaeQAAhW0AdW0AWLNmDbq7u9HX11drUsaFuw7TgwBhX0uWTmtrQPAbSEPzWhQOjRVOfY0enoaoBZIxj0IYuzbp82ZSjRHPJXcovr2At422Q1RwC/crOxQ+fUYaH74/E2trqBdcsalwJsAH1pIPtPMDiTjDN/f08zEAIvyK5pXsMaERQIgDhE8icYIIIwxpDMYJH4cW7UqgJwiQPssEFUkWObTQNSZ4n1CDQXA9rUnhvWtS+Lt1Kdx1KI/vbMvh2t05HGkAT5LJCOOavW8EcFkMjZFgTnPBUGCMBHOaCgeezm5W6ErJw3oK9QtfA8dzQH9Goy8LHB2LKveHRoEjU8p93WNem4fnL0zi1cvT+LOlKaTpdjaqyAO2IhWn+ILdS3zRKlfbZfC6Q+VPFXmVdMCeBWoIMPeGJq7Nk7bRBmkIPJDRaNLFfR+ep3cZwUm7hnMal187iD/sbgwl8d2nN+P0WUzNCc8R0vbYoZDkHuna9GvEC1Eo0FL8g4eoSfrIFloyviwapTi3UaE5Ccxr98j4QvS5k6jJcABgg+3/HwbwVC0qrqUBYBOA19Ww/pLwPA8bN27EDTfcUGtSxoVtA4UTumc2CRwgzuIpKIWeApa0Ak8MwFbgQNLzU+QlZkiVPVMAz8PPDFAqOuGZssKwEpZdi4Zo3LNneXjfmiS+srUxJsG/31TYtvCZM9MBXyPKP19JkJReiRGYawjhJq9kMHAZC2g+ANZeOYseViA1agCyYcMkNGMuNALo4hjjBEnjhR9uGPeNaHodMH6lgQtnJ3DhrAT+vwub8Fi/jz/15PGnnjz+2JNHz8iUxlEvKBoJ3M/EU0BXSqE7BXSlge7wumAc6E4Fv+S+NTllNKgWfA0M5ID+rEZfpvDbnwX6+H2mGD6QdZl8plDvWNrp4bkLkoW/+Sks7/KgnJOuAD7PS4YCChd/41VadUDmlWWNOqOwadYUBzOliqHFowjxVN4iK7gWL9OqKDvRbZv0vhxeroHBrMbLrh3ErQ2yQnzxohTesLapcCPJL9zLgrdZkme43MJ/aT4KvuhFbT3Wc3Okt85f0NHyTZwlNxcSLelKQhmvB9pWJbQdelIcAHjWWWfVmoRKsEUpVRO/41p7ANQ9zj///IY3AACFrwG8dIFwepaLr7p4mgampRW600DfmLYN1hbDEBiaNNlJhxGaX5cRgG9ToHFxbZC8E+gkHKR5/ZIknh7S+OWeBtgLAOBzj2SxY0Dje89KoyVh+geCdTkQCEDuQSZ/2l+CAOBcUdFCGGDvYfSE9K5yLes37DETpldF4Ucp4oLJe4e2m9fJlH8FWPs7JW8DQ7tHymH953nAhm4PG7o9vHtNCloBTx738ccDedx/1MeWXh+P9PpTXxOoY/ga6M1o9GYADAHlCPnJwGhgGwwK1x0poNlTaEoAzR7QlACavMInzJqE+7Tn9lKttB1HMxpZv1CeF9i2CtcKCRRfn2J44Lyj4g0aGkDOB8Z8YDSvMeYDY3lzD4z5OviN3hfTaYzlgVG/qOwfz2ocz0W/QDaFyYfPXdiCN65OYVF7Avacrxkf4PM4VYyB0AjsUmgpuMIPcs0HvMV/SLy59kk6E64RvLyMh9ECpTIjBJl4xphNPuOFybfKUV4W8jGjANKiVJFeF28PDNz9Yxov/dUAbm+Q1eE10xP4xAUthWbx7R6RhYSYsWPr0nY5Jj6u/1zg5dJfuoUjpNHIdFR2M/HCYA6STGtW6G6ishJsOSrcNlnIu/u4xt6Bxt/KeOGFF9aahEpwV60qrqUB4AG41c+6wQUXXFBrEqqCu4wBgE5c9BcgijXLzO8VcEqrQn9G07lDTsvL4RMsP5gwMpnqIkPVOmoEoKB7u1zGAw6+R1wpKAD/sC6FfcMam442xmT4s1057B7yce3FzZjdbIwoAXenAkDodQEUBQaBg4Un0LKKJObI7+MMB7QM6c03DIrG0zFjuckJ9NIKrMFJwwSBSRQAdJFB8n6wtgPwsWbTrACs7PCwssPDO0wSBewb1NjS5+ORY3nce8THNbsaQ7iagoxcoGwfzQDlSYHxSHtAcwJo8lTwW7xvCmy5vg7+wmuNUR84PKoxkCt4O4yHEiMjcgOBrwsK/JSSPoXx4Pw5CSxq89h8rhDulbb4B9W2uBKEKM9x8jYwOYfyAlKViQJsRZ/yL34f/grKf6jAsU7g/E5qE7UyW7xQ2+0IPStVsT7zBR6fEBJZTCH5KRSwZ8DHS345gC1HG2NBZFaLwuef04pmsxhCwc+lkrYBUFkg7utVJo8kx5SSgXg6x7C2wqiczNvC6Q+iT+lMkDRULiTpQ2ORxp0HGn/1f/Xq1Zg5c2atyagEd9Sq4poZAJRSx7XWTwBYUysaysF5551XaxKqgjuPBBwstAISBgEQJTvI4LKEBmhJAHObFQ5wN1opn1QmvXYphC7hUtpawCfZyH4qll7yJCATa1IBnz0jhXfcncHTQ40h5d592Mf5143gt89vwtruYAO+1rb1OOwnTeKJIBF3/oL1qUDBeCAxMdp1rudMP9+nY8KpYMXLpUyNGgbA09FwRpAlEAKWuyQthAsMUp9Z7YgKVgrAwjaFha0eLluQgO8DrXsGMdYYMtYUJgAZv/AXnQgnbj7SKCw05htjCpxCg2Eoy5SZUBENElhTr0nLFRjFeIqG5foe0bIcg5kqbFYSB+My6Ti/o/fUUMxlFE6Ga5++4W8RpVLbpIX8GFHFl4LYEmwjuYrQ9MjhHF587SD2DTbGQkhzQuHzz23FzBaHHBPXLwbWtj9uEBFkAv4MXItN0vDj45wPVeHcoWJdguztI1zomd/uoTlB6xPazsbNnQ2yvSMODbb6D9TQACB9KGsisanG9ZfEtGnTsHbt2lqTMW7ce8RHzkxoVOEzf3T/PZ1kFOzJCQjTLWxVSHF3Jc7EDN8oJcO6lMYwvUPxo5MvVfS1tve6SZAmd5K+PaXwxbPT6ErFKMV1hp2DGhdcP4ab9uej7Q5vifJuGFZEOTZ5yEPxzNiJrhJE6hCSheGa/XEaubwlrb4IpIpxsWOG9IPV9oB4y0uAlhGML1OY6cOwfA1xzFGafG0JCp4HnNJW6+l4ClOYwhRkpFIpLF68GBs3bsTll19elTKHjL7hMwU3ckCtjs7pEs+nCrB1BgyfpyUtDGyuN/IQrcNObitksPkbjbfmfl4P4nmlycfLNmlK5eWZrHOWOAHFuJv3ZPHsqwcaRvkHgH85vwWrpwXuUaWUfS2MFcq76S8N5wtK5tcskIReqIi6SMWRRMenZAArJSOHX3bSSHvA/HLkCSOHBOXdsb/xvRAbzACwSym1v1aV13ILAFA4B+DNNaahJM4//3w8/vjjtSZjXBjOA4/05nHmtARjIHQFHGT/kWYTHbeyo/Bt0TaFHcd9hC7Y3GpZijEaSN9yB0krKXc8PXevUyhuC6AChBEoXOcMkOsFrQr/cVYK792UQbZB+GB/VuOym8bwzfPTePuKpKzAAvJn8MJnxfuFhmn7mdJyaVjESk6kJy6ghPsVaXrYaakhwDV+XGXwOrnSHublQh4bN5HCyBiyXPNI+ZQgTYm0CVzaobDtOMaFlpYWKKUwPDw8voKmMIUpPCPheR5mz56N+fPnY/78+Zg3bx7mzZuHGTNmwPOKSsWvf/1r5PPjc1kayuroPM0heoKhOMd6JE7iRwacZ0gG8rAOagRm+SUljLvSc684M/fzMiTZxsW/XP0klcVZDO87C0yhVcCPnsjgrb8fahiZBwD+9rQmXLQoRqVxyZ40Pux7Zhzg20sBO55vJeDGAnoInwm3ZFJFwknZ3CtXol14ros7E0jwZx4VOSwMZjUeOtT4BoBnPetZtSahEtxey8prbQCoew8AoHAOwHe/+91akzFu3HlE48xpRsEhXIYqyvS77WbyoPvKKHyNWSngUFphwPIcYjOSiolzBMUyQrBwKhzEMbyI0kgmeZqGGkB8jdO7FT6yPolPP9I4k2NOA391VwZPDmh85vQUPHpoHYcJK/UpG0tACjKGBxRRYYszyiBT5LAiE6WKRgc+bswzlZiXdM/TWcIiCZPGhzTOzLsSWU2gAgKtHAJj13Y5kqABYEm7B2B8AnVzczM+9alPYWBgAPv378eBAwfC3wMHDiCTyYyr/ClMYQqTB9OnTw+VfPM7Z84cJJOlRcN0Oo2RkZFx1T+cKyqd1lwvKfuSIuPiC5ZnomBk4AepmbJoIVxO0gj4HTfiKlIeM3qHfA12HnoAH29fhFZ2beJdiyacx7sM4wKv1wr4z/tG8E93jO+5TjRevCSFN69tih8XkoxoIJ3NYBn1IcgAJC+/l7aWWjIAMRiYNEbZ53KURTvLR+OC4I60Km6B4EYhRx5oYFNPruG3ek2bNg2rV6+uNRmVoGbu/0DtDQAPoSDxCsfT1w/OP//8WpNQFdx1xMd7VhD3KDoJ0AkuVIBhT5iGcZlZI1hZX9am8Eifhi8dTsJPUncZEzgsHssmPT65l5q0qEJGy+BlSQaCoI0vnp/A7iGN7z3VWJu0P7cliycHfFx5YRNazNsutZda+i1GITDB0ECkhWetERU0ggdpnSFA0mgyCPmn90JFW9njUdECmNAV0srbQsLijAW02FC5j8ljtZOXxd4pp6Wq4AEwXvT19cH3fXR2dqKzsxNr1hSPWNFa4+jRoxHDwMGDB+H7DbTUM4UpTKEitLe3W4r+/PnzMXfuXDQ3N59wmU1NTeM2AIRbAFw8WOLznAcoRL3DpOksnNMZnzIZfV38/EWkYoXinnsqj5CyQprIjSb3YZFKmv4jrCzSbtou7t2tUfzijhTGDSkaxa/zBPTntcL7bhnCfz08JhBRvzh9ZgIfObdZXmfi/SzxeJdsaBbD4rYSWEo0lV2YbMTjeX0aRdnH8jZw1euQiRWwpIMMDqbkO2VcALfvbZwFLhcuvPBCy0upAfDMNQAopYa11o8COK2WdJTCunXr0NHRgYGBgVqTMi7ccZhxRYm5ShZDbpFk++daksDCVo3dQ0EaupJrGKY1kanixMpPreUIGai5J4xVUuJ5e6QJVDl+TZn0PATS1r9ekcSeYY2behpLWbr66Tz2DI3i2oubMLtJUKRdh/ABstLuA/BI/1DrNGCPj7BMQaCSGKa0kkLBjQtg+S1lnYxF/qwJGaIAYPpF+iQPBf/EIRX2pLIl60HA9Je2j98AoLVGb2+veAquUgozZ87EzJkzcdppxSk3n8/j4MGDoVFg//79OHjwII4ePTplGJjCFBoI3d3dmDVrFmbPno25c+eGSn9HR0fV60qn0+MuYyhH52u4FR4KaQ7mPM3FzwCbp4WsRjt4VZDQ8Dlq2A3lI6ro0fYwOUiR+d7yhCOCVlg144GcLZL93pG8NG2cAYUYB46NaLzhhkHc8HRjHQI3v83Dvz+7FanIN1OJTEnHRRBlgcsEPJz2JX8OkWop7y9hBLAW3GCHRc6vCvKI21aL+ea0eGhLKXshJbKoQosslvP7pxvfO7DB9v/3A3i0lgTU2gMAKGwDqGsDQCKRwMaNG3HjjTfWmpRxYdeQxvYBjZV8pVHQzUSLvLUSbOI04APzmxWOjQGDOV6YgWP21aRCeo4AdwfnCh+dhV0n7boEAMoAua5JFVkGTwGfODWFoVwWdx9pLMXo7iM+Nl4/it9e3IR1XYHGqkAYTZCQP3duEOKPkRoQaHrKeHk4UBSowtUUbRsTjEAWCl9kfFCE5TrGNHW1LEcAoPm58CAJAB5JDxToLHUeAW9vsNKwpEqHAB49erSiz+AkEolwVfDss88Ow/P5PI4ePYpDhw6Ff4cPH8ahQ4fQ19dXFVqnMIUpVIbW1lbMnj078jdr1qyqKOXloioGgCyZGKX5NTQMI16cEPk4ovn4tYZcbphG2+GioYLLNCDKG1P4yHxvlxOkDxcfXEIYazM1bpuk/ABFl1054FMPH87jldcN4qn+xpJppjUrfPmi1sJ37l0Qn72gQMeNEy4D8TS8elFmJso8ly+5F6VJI20toGlYWUkPWNSZCJ45MQLwTxpa51UUwvszwF2T4ADABtv/f5dSqqYvXT0YAO4D8Fe1JqIUzj///IY3AADA9ft9rFxttgEgyjw4Q5QmQmkyBLC8w8MjvXnmfScVCjYxsso4c+WHEZp8JoxuM6CM2prY2aTvmtQ52CSfVsB/nJnChx/I4p6jjcUwdw1qXPi7Mfz8eWlcMicRVZyN8YMfPGPizK9kBKD30rWUJjQc6GI8/+yNpWATY4GpWANRQsiY06RicwCfRtHFjtInGSt4nCYZ6BjjxgLeD1ZZOhoGVMUDACgYAKqBRCIRKhccmUwmNAbwv6kDCKcwhfEhnU6HK/lcyW9ra6s1eQBOggFANNgbPo94I26lYdJ870rDjRK+Iw+tL7ISTPJ6JA0lwChpJshc8MWQkP9wgwEpLty+SBsDO40CfvpEBm+/cbh4FkODoC2l8JWLWrGoQ9oLEbGuBCDygXOBSchWzhjiYREZQCiEywNSOnpmgJWX5AnqWtKZQJIvlEheBmZcmPGjFG7aPdbw+/8TiQTOPffcWpNRCWrq/g/UhwGgYQ4CnAz47YE83rc6IU9q0ufWJCXIgZaExqJWhaeHuZXAWB1hWzsBNrGxikOliinvEWsprQdk/hcMBia/9a1X1l4JpKi0Av7zzBQ+vLnxjAD9WY3LbhzDV89N429WJ61t6yHinrPLIMCNKdJ+RPrLjTVA0VJNFWSfjxstGA6owg9AadvwE9IeEKu0fdglNQ5Q4cASEui1itxGDE6CvBZpP/Ncmdmk0JoEhsdpiK+WASAO6XQaCxYswIIFCyJxQ0NDTuNANttYLqZTmMLJgud5mDlzpqjkd3V1QUn7hesI1dkCANtFmfN8yg+owZefLVQJ6BzN5RuXkYFv9ZLS0e1ifJ43YXxLGYDi2QIUlJcxmcnAOrSZ06ZImdRYUAjJ+cA/3zmCzz8wGi23zpFOAF94TgtWdntElpM0eM67JVlT7DxHOQJcVfNrqQppnEVkh6iibz3z4Hd6Mzn4z3nWAJNpyNeKfrer8Vf/zzzzTLS2ttaajEowZQAA8AiADICJ8107AWzcuLHWJFQFtx7yMZTRhX1CQHnKvWse5dc+MK+lsBVgIM9mNer2HMu4mTIXFiFwVrq/WxeZm9tVSrh3KnFMyGD5017gCbA5i3sbzAiQ08C7783gpp48vrUxhWlNRLKR+kxS8Ckkvhr5jrPjnn7CyTxznhawv6cbUa75WGFtsfbikbFhthbQgrlxKMKtBbgOUKT54+QTv3i7tN3Do33jG0+Dg4Pjyj9etLW1oa2tDUuWLLHCtdbo7+8XtxQcOXJk6ryBKUxKTJs2zVLuzfX06dORSNT1+cexaGpqGncZw1ntmOPpHAw4+VApHU3i43RLQSldTznCpTyugwe5YUAyEIflUCVNk3uWlvIxGmmVTRpH+u7IiMaf3zCIm/Y0ntKXUMBnL2zBGbOC94Y+U5hrE8HBB5BL+ZcEXCFdKUWeFiHZJMy9NBa5YYobrYhRKOkBSzvZPGIZCYK0fAtCEK4B/G5X4+//bzD3/zyAe2tNRM0NAEqpjNb6IQB17bsxY8YMrFq1Ctu2bas1KeNCxgduPuTjZQsSbD6kSpKDm0rMUJj8lncoPNynGT/U9gQmzr+axcVZJshErsEs3kFeS4GjeZi2r0kc/x5rhJkW0eQB/3lGCh96MItNDWYEAICf787j3iM+fvisNJ4z25wLICnNMcovh+tx0SKsA2pYXr7KYjE9R/mURHqgIefI0ninacLxR8dCnABAhEmT39xQI4QoAJA6yJg/pV3h0T6hygowPDx8wquHOqBLKQWtdViOuXbF8zRSPqUUuru70d3djVWrVoXlAEAul0Nvby8OHjwY8RqYOm9gCvWO9vb2iMv+rFmzJnxf/kSiaocAcsXG+jyv4cMalpcWCA+haQGb14R7oVHIT09ZV4gq7S7lXLoupWO6DAMu+ceqRBflEokmiY9QuUnkZcDmQzm88rohPD3QePKKAvCJjc141vyk3QcRXs/uNU3DjQBgYXEQrESRbDoaX6p4ruC78lnDX4fplnYlkIo7PshxppUJf/yYjz0NOB44GuwAwAeUUkO1JqLmBoAAd6PODQBA4RyARjcAAMBvDwQGAADhirxB6FaminHcYk4VOCDCyJoTIFsBEE0Xxzyt8sqZlE1SPlMG+SPuc4LSFylH2bSK5BTSNSUCI8DmLO471niT6J5hjefdOIaPn5rCxzYkkbSYS/D86R5G6RRak9a1TYN3f5xy6lpFkcJcghq/5wyWGgFCGl1MktRjHQhFjUcGRPCihoCIAKDtfiFpZsQdaFQmxrMHnyr00rUrvlSaUgaJZDIZKkwcrvMGDh8+XHNvhyk8M+B5Hrq6utDd3Y1p06ZFlP0Gcz2tCqpzBgBsBS6cJ43soe351zpJH0QZUsU8gD2n8+0F9PwXrlTxL8dwvmaMBpJ84Lqnaamxg6bxSDynjZdDDQucNxl+7ZGwoKv+6+ExfPD2EYw26GbvK85qxosWp4gcClmO5GcHWQYCXexn6es9EYZt+DgZe7EWGcG645QhbbLKAiNteovCjGbB4OAyMnEbhgZumASr/0DDGQBq7v4P1I8B4CYA7601EaVwwQUX4Pvf/36tyRg3rjvgF+YGX5h1jMIfcasiCo3ZS0YnF2MYCJSgyFYAl9IfhxPJE2Y0ly6OzJh8CCZIALayZgkchevmhMLnz0zhg5uzuL8BjQC+Bj71cBY3Hcjjh89KY3ErMYAYgxCAcEUCsIUr+t1aEycdXkNXd2jZrvMZOCThKM5KDiENFbKoocnF2+mndMyBS+YdoUKrUfrDd4dERAQApvyT32np8RsARkZGnAq3a9XelYau+NN4GiZ5B7jqNvFSGQY0Hii4GpvzBnjeTCaDvr4+9PX1obe3V/ydMhJMIQ5UuTcKPv3t7u5GZ2dno31f+qSjqh4AIYQ5NTQGgPATbc+d4fxL5lwTb5RhczgaFwlC3U3ZvyYyVKoFuSdOSKFRLqOBUdbo+Utg6Vy8idcTymbaqu/QsMZf3TSE3+xq3PNX/npDE16zPGn3BQXtG+nTvZqFW/1MZRReKA2XNHlJw+bChwRHHM8eIaeYIHT9p58rLkWWYFT6XQOPC4PFixdj4cKFtSajEkwZAAhuhfBF7XrD+eefX2sSqoI9wxpb+nyc2uViXEzJA4pMMHSpU3YYUFR+AsUu3ApgnUiLqNJmwmhdkpW8agYELkTwREy7jKwkKDIZF9DsoWAEeCCLB3obzwgAALcf9nH6dWP41vlpvGYRPReAJAqFKqPME+WfG1uklXUqXHHl38RTBsgNUeEJtoweSh8fX3HjDoieVxDmYQKA9T5oO720UqCB4hkDLsmOEg1Mq4K38NDQkFMJd63au8LiyjGKf7mr/Fx5l8qQ4oGCkkbTmvB0Oo3Zs2djzpw58H0/Eq+1Ri6Xs4wE9M+EDQ3V3BtvCicBSil0dXVFlHr6e6LKvbQdJm4bDM/rMn7xsnl95bS53LTjQdW/AsDB52ALZI4FSUfzSF96seZxBYu/ROoN6lBKMARDFhusLwSUIbTwVWyXAleOEcDQB4QK4Q27c/jLG4dwkHtjNhBetzKNt60LxhqVPc1Bw1RW5P0j8X7XIwnDybMXtRKuRdNfwPKYjBBRikjIYycsvhi2tDNw/dfkj97zNgvjZzin8ce9jW8AaLD9/8CUAaAIpVS/1vpeAHWtYW/YsAFtbW2TQli8br+PU803Qw0koYGu5Lrcv2l+YiBoVsDiFmDXsMRgTflCmLl3KWzS5CahbIMBJ4hP6swQIGbXaEkofOHMJK7YnMODDWoE6MtovPZPY/jrFUl86awU2pJcgQ9+uQeAgq3wh+NFyCMJMXRcubwCqPHJ0FKJXFPJeIkTuKR66diwTmY27wwVEMDaF/xTqioeAHFnAMSt0kur8NIqP1XGedq4cwMAhIoWV4qkMwVMeilcop8qcSbe8zwopZyfMzSgngRDQ0MYHByM/Jq/oaEhjI423unZjQ6lFFpaWtDe3h7+mQMnzTUPa2lpGdfKPR/bPI5fl7NVptL4uLA4uk82qnEI4FAp3SOiVMM2rFKlBywd93DUjAGE++RJvOTuT4269OR9H8wrDEWeJ7XD4oU2KWE7wOL5tQRBlxzNaXzkzlF8+aGxEpnrG5cvS+H9p6VJE0n/8nGhhHD+KynE4uq5RoT303jpqxAmTrEKQn7PK+cGKl6IW2CZ0aIwown2mKbviimTymGItvWPe3IYy0eKbzg0mPv/TqXUgVoTAdSJASDAjahzA0AymcS5556LW2+9tdakjBvX9fj4x7Xk5FCnZZko/pJnAF/ltfbRAXObFY5lgeNZltel7Fl1BzRRq68idSiWn0/4ce1yggsNgPytPCGP1mhJAP/vzCSu2JzFg72VaKf1hW89mcNth/L4ybPSOH26J/ctYFu7+SeJTJz1rBHdLgAhDQWtM6I487QkseWdQtJLBiQqAPDyXcKDy1ZE+TcVDq38pp1k7EJXxQNgdHRUVNSByhQDSaE211zJ58YBmofS4aJHCuPluJQirpjxe64ASgaFpqYmzJkzB3PmzCm5YgsA2WwWQ0ND4d/AwEDk2hgLhoaGkMlkkM1mkclkkM9PAomrAiilkEqlkE6nkU6nw2v+m06nRWXe/La2tkbGpKSUS1tNyo130U/TS2MjLl5Kx8OkOl3bYkodzFlJ2yoFLbcaBoDjWR2dd7mSHCEC0bmY5isFyrMsmYLFh7KFMRSoqAE6NH7DllEQpDflOZftVdSIAcS3SWo7waO9ebzhhmE8fLSx55nXrEjhijOboKjSD8AYy0WebK4B20NAUva5wYAUH0LqY62L5ShXOm5AIEKA5SEQhCs+RlyDXyPlKSztSCDsBymLde3oL0wO93+g4QwAdbH6D9SfAeBjtSaiFC644IJJYQC444iP3gwwLUUC+QRqKeAmjjI12Ao/NwYEWNam8HB/sBWAlmGueZ7QzdtMjkqOp0yX0k1p58qalCYOFRkPCmhJKPy/M9P4+wcyeKivcY0AW49rnHfDGL5wVgp/typZtIO4GA0N44YAK70m1yiOMU/Z2wnMc5e2GPBxKHmn0G0nkjJfSvEPaWPxfIWBlkvLsIRBR310dUkpTKvCIYBA4RyAtra2qq8axq3El1LUy01TCT0nki8u3hgx6D3frgAgVFinTZsWyV/qbIR8Po9MJoNcLodMJmMZB8z12NhYJJ6HGe8G82uuaXgul8PY2FhYf6l+7+7uxvTp09Hc3Azf96G1hu/71jXdfpFMJtHU1CQq86lUCqlUColEwvL8MHVWcg4EpzfOk2W8q+9xcHnEmLByjF2u8nj7+HYWPg4ljxxaHve2idtq4KI/rh+qYgDIaIzkNFqSrG/ofBkHae6mfJ8rfVI+7plmzenaThOu5FK5hRJKDRqG/6jo3K9AylABjyEMI8ZeEKkygK+B/94yhg/eMdqwB/0ZvH5lCu8/I1D+aX9LHhaaDhYiG/rkHkFYPijD8HX6vGn51DgAmgbRZxMJo4kJafSeZgwNAtRIYIpiZQFY2ukh6aGYl1ZC04dtccjIAG54uvENAG1tbTjttNNqTUYlmDIACLgbwAiAlloTEocLLrig1iRUBXkN/OGgj9ctNJ9/g32YCFeeDfiKpsQkGUNt9nRhK8AQ7HiHwSBU/mk8XeWPpCezG/UOAKIH1NE6CI0nBMekChhPgBT+fnMWDzewESDjA++7L4vfH/DxnfNTmFVKQS1lHKDg7pP0GpDHk6fkcLAwpeyvWZjxkyfjQRIkLONUGW0w5XDBkZbPjQ5WPlU0sGldlS0AQGEbQHt7e9nppcMBDcoJd5VJ05ZTR6WrlpWuepaj2LjuKzWQuIwdiUQCLS11zeYqRqmV70q8P7jCy8sAEDHSjIfGE1ktl7wC4oxc0hkBFNRzht6Xa8CIG6eljG782bjop+kBoKurK1LeieDgsI8lXYE3IvfoCwmg14TH8ybxOVtS9IAiX5DkGwnhHG74iyZ1aRbHCLHkHKN8apaOECjyHaFfwgUSYOuxPN556whuO5CT6W8gvGl1Gu+23P5h8/xQWQYQLhBReZH8wqQlynBEgTd9SxRl88s9Bjgvp79AMNbYwzPprS8TGL5vy8rhWLKMBEXMbPYwvZm4i/CxRdtNlX8z5gyUws5+H0/0NraXCABs3LgRyWQ9qbIlcXutCTCom0P3lFJjAP5UazpKYbIcBAgUzgGwJjDqhsaVW42oNbSUPEzi5zYrdEas/PaEBC6gcGastf3H8yrYjB0o7tnjwgRVMp2ChnBPf0u0vzUJfOnMFE7tro5SV0v8Zl8ep183hpt6fJvhueRmHk4FMNOv5rm4FGSpPOsb0aRswB4/LqOUJOxxI5OBtB2Bxhm6KP2+Lrwn1GtAepcUSU/SWB4544D5EgBdHQaKAjwNd917nodEIhHJR1eZ4/7oSrQpw4Cn5eF8VdtVPs0jlcvzU2WtVL5Sf7RNUlukNkvXPCxOYSuVt1aIq79UH8elc8Xx8sv5c42jSsqIK1ei3fy63jeaN26cu/JKXiCVtqec9JwGoHoGgJ4R2LyWK/v02vB4COklHhJnRABLy9OUCpPopYpbhK5g0qdn5oC1LyyPKLqhXAPWHwUD/b9uGsXpPx2YFMr/29am8e5T08Tb0CFgWPHBDfkKlcWUw/FC+L3pYw3Yij8dFzrKxy3ZEbZcDBAlXxeNT1S21ixeahcfv0GelKewpNOzZdYwngurtH1CH2qNG56eHJ//a7ADAPsAPFZrIgzqxgAQ4MZaE1AKs2bNwllnnVVrMqqC63v8oueZ+ZUUYNek51L+eJkBlncoeC6Niir1oleAoKRxZdAPyqACArV6cmXflEcVOJOGtjncuoDib1zbw/qKRoANri8uNBAOjGi88OYxvOueLI5mHAKUCwJvsq65dV0SrqT8NJ4p0yHMeKDjxVpRUMUwfnCUZHCgZdI0ANvCQGihbQOi2woCVNMDgAr3XGk34eUoB6WU/biyuLIiKUtckZGUjbh6Jfp4WyVFqZI2STS4yuRtjTOYuBQ4atyIM7qYcBe9cXRX0g+lxgtN58rD41yQynOlKSd9ufWNF7ycuH7h8a5rmraSvh7vn1QeN8pVywBwYMS3+btCcT429wa+js7FgMxf6NwrpYtV4FlYOfyez/Fh2QJfCpV5VUzjBQVIxmsqmwTJ7jqUx1k/G8An7h1FpjHPHLbw1+vTeOf6tGVDsX5puGK/0vOhMh1PYHkIBFBg3oFKGA/kGdB85tkYuVgp4XlzugR6eTyRu5d1GNd/mk67aQwTKZJOBbKLmjT7/5/3vOfVmoRKcJdSqm7e1ikDwAngxS9+ca1JqAoOjWnc36eLzNaasBjT0oietksnXx/FFV2RCQJNHnBKG6ITHxfA+ORJ48t11aRKnpRfI9rGSFpGT5xQIQkWAdoCI8CZ0xrfCKAB/H9P5rD6N2P43ydz8CuZyihDCxmbQ2mnYZUIAOb5Wc+shMBIxwndYqAUK0/b44qm4+2QBIBS0NUzABgPACOsF0iyBXkaVkr4L0cZpOESqHIrGQT4YX3lKq4uespN4zJKnKjSHNdX3DAgxfN+4nSZOJeCSOtJJBIl+6ISbw5XWXGr0i76XX9SvTwNrZf3dbkGJFcbyhlDUh2cDilMokd6R1zhJxuu+iV0dHRUha6eQT9qUDX3xijrOtHfZaAFojKKxftJHA2z6mDXXInjaX0hXilyZgzJpIjib+gwK9i8vlDRK/Cj42Maf/enETzr54N49Fjju3ADwN9uSOPta2NOwOXDTHoOpo8VebCmn41SDnpteHnwZ4xLFo9nFVr5AtDnFtLhaANLGpFPHK/TzBYP05pVVPaR+iIik5Hyg7Zl8ho37Wl8j5G2tjY8+9nPrjUZlaBu9v8D9WcAeBjAkVoTUQqTxQAAAL/dHzAQpQjDFDQXw+AUbMZq4hSIsoSosSBIN6dZoTOt7LwSc1cs3sWcYwUAZStutHy+8svT8DKtdHALDNw1PKCxPQV85awUXjyv3l65E8PRMY133JvFs28cw4NUCJEUbi44SYdKAtH+pChXACD76cMwU7+nigIBZ54AEQAQXWkiAlh4T/OZsLgx5AJJ05IEmhIxacuE8QBwKRxxCk+pbQNxyjGvS1JqJeVGUgx5na52SPW54ir5M/RQOkuVK7XHpSTytK4+cimDcV4BPH/ccy4nTalnG/fnGi9xz9P1DA3ijDa0X11eGBLdfPzx+uP6ghpb4gwaNB8fA9I4cNEdZ3Ap93m7jEvlvhuJRKKic0Zc6BnWRUXftS2Q8wv6G+HlsA0Hpkx+mCxXxjiPoTJOXBwPNwgVd0T5laVgUh5I+JZQ7693ZrD+JwP4xpaxsmzKjYD3ndaEt6wp8fkb3ti452F5SnBZljwIqkzz1f7w/dREwddRZZ/TQscfwJ4zHOOGGCki4wRIKYUlHZ7dBF6ONBhoWUxevetADoNZKVNj4ZJLLkE6XYVPJ00cbqs1ARR1pY2ogmvETbWmoxQ2btwYOf25UXHdgcBcaE1YgYZvJkZpDpUU3SC5vSILeyLyNZa3KSSUo1zADnctMDgYZKQt7OCTSDoaxuND4YLFhbzBYVQwCPe4q2AiBz6+Pol3Lq+ChlcnuOuIj7NvyOB992XQnzGKvbKVabPKYWDOZaBwPX84wiQBwCdpRSYpKOguIc88czqGzHVE+OTt0Pb7IdVr0WA3phpeAMPDw+MuA4gqn6XSllLseNpyFN1KlU8pbTl/kqIKQFSyXO0tN54rfS4jQClFTmprXPslJdb8xtXpoqkcw4xBJWml+uLGWFxZcX0ltcVA8p4opRS7aIkbS7Rel+HA9Rx435ZjpKNfZYiri45RPl5MWDW2AfSM6KKBNlRWtD1vRhRnotwrYgQwcYoYD3h6Cq6k08UGl4IlLUgoIR0N4+m188YOCn639vn4s98M4uXXD2PvYN14EI8LngL++ewm/MWqEzj4JrY/GQJx1qVgh+PHkhuo/IKiXKwEDV6TCzoW+VijZx5RuqRGkGqWdQWu/5JMY7LRPyWkJWI99OT5/N9ll11WaxIqwXEAd9WaCIq6MgAEqPttAMlkEi960YtqTUZVsKlX4+AoDyWzSThJUWZMf83EyRQeIKqUBUpVUwJY3CoQwycsSTFzMWXXNbfOcnA3bsnFW7O8kiBBhQ8D4fN1CsDblibw6Q0JpOrx7TsB+Br42rY8Vv9mDD/clbf4YfjgrVVykP4K0ip6A3sccFBmZ+75t3wpXAIAZ5j8XhIG6apCyOhZXVSIoMajUt4AQd9UwwAwNDRUUqGrRLEx6Stxk3YpRdIvTyfBpciVk/5EUAktUnyptvLrcp9PXFwlSipXDuPKda0Om0/HlSrPtaLOvUNcSj8vq9zVbld9rr5xGVdcfVPOszBpJG8SlyeCNNZctLmMSFKZcW2jdEr5JK+Dzs7OCL2Vomc4EBLCw/EQnavjFDg+Hxu644z/Jj2dwy0jAimXG6sBt8LPwy2+ES1GNA4QHB3VeO9tI9jwkwFct7vxXbYNWpIKX3hWC162VFD+S7DJsiHJkmI6pngbRZ8r6Ja8S+5NHJdXNcvPx2Uoa1IZ1C57ZrNX+DSwtNBgwM8FMKBbUtj787vdk8MAcOmll9aahEpwo1Kqrjq+HlWQujcAAJNrG8DveqgXgGGgZLIKGauQhij2xQktuDYnDGo2SerCVoAu6du/HFwpo2E8jzQBu9JErlnlfHWfIxQUmJBBw7nhgFy/cI6Hr5+VQneVTn2vBxwc1XjTnRk8/6YxPHZc2+MIsMeBpVyTBxcKZYgyUBSTRVZQwmcuKO3lHlhpyja/EQGA/FqMmtyb98RKTxg8EBUAmBFqWhU82owHQCUKUimFiqKcdFI9gHsluZx4aUWSx5eqq9w+4e2k91If0HaXgqR4xeWX0lUDcXWNJy2Nk/ourpxylG5XXCXPJy5f3Ap6XLpSdMR5k0jeIeWs7JeKL2esx/VJXLuq5gEARJV8wJ5z+XxM85g0Zj6l28y4cg9yr5Q9BwP2Pc8HFD0VKI0a0bMK+FdkFNihxHAikwe+9NAYVvxoAF/fkkG+WkpxHWB6s8J/XdSCC+YGnpC8bZVMcdXuFzqGdAliImNRFeVfsPFEB3aYj8jQtO4gLuUpLOkgAokkT0qGB4k+km9nv48HDzf+2RErV67EsmXLak1GJbi+1gRw1J0BQCm1C8COWtNRCg3mehKL63qCzwGGCjvcCrExAojWz2BCowYBYyzgyhGAZe3BVoByUK4C5wqT0rgMBaWYStg2k14josyZcNo+lu+0LuDb5yaxuLW6Qn2tceshH6dfP4YPP5gt7DMLrdeSZd2MN5A05N7qW1pLcBN++gfFMWYxX9jPWRLceLHaEcchMVxptSgsm71DirwbpI2dqfGPh3w+X5ZCVKmCBcj7r3k+yW2YKiw83MDlmizBpUSPV6kp1W6XQuhy7+Zu3dz126UoSuXH0XEiSiCtlyqcvE9K9WOp5xCXlo8d/oylceIaE3E4kTzjLStu/LrSSH0gpZf6xRVfzljn72Y5f93d3WX1Qxx6hs1cjhJKDOQ5nP+6pmDXQYKUd7i2CJj0fCsB5U+KzefmOlIHax85PFlr4NqdWWz46QCuuHMUfWOTSPMHsLjDw7cubsGaLq+0jMa39Ek42aKTNB7otWZpQ5kFttwbpjXyChk/tDAyBpd3JZA0hxJrXjEQMSDQhQVDR1hHMd3VT06Oz/81oA72u1oTwFF3BoAAde8FMGfOHJx99tm1JqMquOGgj5yPwmig3wWUmCpnYqG+RTiYZYGXFOVCcJOncUprlRkcpVU5rmlaes2FDZ7GgFvxI+Xq0tcBFrR6+PY5SZw1bXIZAXIa+PzjOay9bgzX7MkH9iIqOKHImEyAH0pJxXvOPKmxyRiaglunMGAZrEj9Jg+p0soDRE/U5eOJjxMarlg8FQxNHVwoVUC1TogopQS6FHnJNVsKd5VHFRKe14RxhZjf8zaU2htdStkt1QellFtJMaY0utymS6WjYaVc8WmZkiInxZcTLtFdSf/QZ1ZOeqkvXQYSTodrXJbzfF39Op6/UmW6+l6K52OFPw8XXHW58rrKctUTV3dVPACG/WCa1BD5rQQ6f8el4cq2pLTRrXqUTdA5nMaB/Cplz+fce4BD+ixxoORtPpzDJb8awuW/G8b2/smxz5/i1BkJ/H/Pa8H8Fq/43KiST8HlMYM4b75SBoVqQqLNJUNYMqAQroiME4TNalHoTgcZQplbElKN4SBIExoY3MRevX3KAFADbFFK7a01ERxTBoBxYLJsA+jPAnceM5MRohMn0dEKv1GlxYqnYSY9VfxQTD87rdBlVjyrPWFzBZ9eWwaNmHRUaJAUO0kIiTMKUAYQhHekFb58RhJ/Nkm+EECxd1jjtXdkcdmtGWwf0NG+iYyLoHNdYy3sP02enS4q08Y4QJXrUEgjwhp/QOHXA1DMQ8hxgo4DXiwXFs21z/qBjbEYebtsaEn4dKCUcuEKdykLklLpKq9U+S4F5kQUMle5pcpzKaTlbEdwGTVMuS7lldYrKbNxiq4UJ5XH40v1AX9ecTSU2k7BFXkpPm5cSN4T5rdSpT/OgFDu2HCN10oMKC7DGG2XZDSjdbnGOO8T11YCiSYeTu+rYQDI+EDfKPsUoCQvAMWVTTNnSnqyNPW55lsgeqCxIuloeokOzmcidTKjgCBrbD6cxyt/P4Kzfj6EW/ZPnn3+FBfNT+Jrz2kpynoG/DWnz1R6jvT5SHKZK1+14RpjcYhboCDx6YTCKR1CxygyELlHJPXI5cSQ8fdUn4/7DjW++39TUxMuuuiiWpNRCerO/R+oXwPALZiY13hcmCwGAIBsAwDilVtpVZPHg8TzSKOwkcgV7QqpknnLjDsRuIwBrrrijAZAlEFJcVa9GikP+OjaBP5mEn0hgOL3PT42XD+GjzyUw1Hq1hjpbx0dhxxG0KJKvwY7dFHithpRxgliPUdUOBQNECSeVsMV+7hnz8sk8VXQ/6G1LqkElbv6Lf1K8VIcDSuVRgIPH286KT4ubalyyqmf91tcuXFKM7+vJC7uWZeKd21rKPWs4xRMU2c5Sqvk/cFpdin9cV4BLiNEOZ4mPP9407rGBO9f11hzlS2Nv3LHlmtM0r6pxhYAgHwJgMPiBzpQDkn7yzXQ8rA4HmN4Ap/radWi4skKM3wlTEuVN40Hjvm4/HfDOOuaQfxyZ12dDVZVvHZ5Cp89vxlNkrLP/zgkWTPumfB8cWVIaUthPLKnRLMQv8y4/psxqBB4PjiMYibMklkC4T3cmlIIv2bH5Fj9f+5zn4u2trZak1EJpgwA5UIpdRTAA7WmoxQ2btyI6dOn15qMquC34ecAUfyVJmfJJZrHU4WGT0zC5J1SGivbHYK2ywp8siApdlLdvN0SUzJ/LgbHGJdSwF+e4uFf10+eLwRQZHzg3x/PYcmvx/DRRwJDQBzT58IdH0cGRlgNV2JgC2NUMddBQWG0FuLBnr+2hTdKC4VhtPzZUzrCtEJ+Mg6qASOoS58zK7Xq61KWJAXL1CWtKvIVSr6yK20NkBSTuO0H5bQlLr7cOApJUZLKkfKXo+hJ16XKiAsvFTeetCZ9OW10XbuU3FJ9VeoZSuGu8uMU3xP5k7wUXCvvLm8PKY6+Dy4jiUR/3JYKiTapDD6XVNUAADa3WnxAR5VtF5+g5fDhU4q/U4WLp+HyDOfvUln8ywYA7j+cx8t/N4yzrxnEtZPkc2wSPAW899Qm/P3pTfD4s3AZYKjxhT5XFZOH5+dQ7JeCPuc4WYTSJqWt1DDgSD+71Su4/kufmpTyGHnbzFtUxgnfg2LGn025/9cCgwDuqDUREupZzaj7bQCJRGLSfA5wy3GNbYNshqGKkZn4zIjhjFSTeI3oXi2uHJuJNwjvTCssahYI4wq3VF61Ebeq4FLieRr6JwkhTmUTeMFcD984KzmpvhBAMZgDPvtowRDwzw/lcGSUdaqL2TufOYmQDgt0CQDh8xEGGTVWmXh6rgU/QIp/GjJkzLRd5EZi7kFYNSflUkpQpW7PLkU/TmlwuTK7FHfXiq9Bud9nr1S5ceWT6C5Fb1zf0bq5UUSqk9JcSsGjaeLaXYpWVzrXWKL0u8ri9zS8nDRxz42Pd+kdKCfehbg0cWXy31L5pXbSa1ef8/tSz4HTJl1LY4SXXzUDwDBZgLCUe1U8C8bEu5iqyWvSKohnrEQgeXkZOSaO/0g8nPItVtemI3m89PphnPOLIfz66cnp6m/QmVb40rNa8IaVqUI3SDKVMYxwlFLEuSEhLj2VQ/mzkYYRLZMvdinh2iXjnQDSHnP9l4xNUnuA6OKCjyL9wf1Tx33cPwnc/4GGMwDcqJSqS8vLlAFgnJhM2wB+uNsXVjq5osMy0QmQxvNJ2mUpD5VhjQUtqqD08jqYsSBSPiBPitK9hPFYc8vJKyn6fPWA9o0GTu1S+PY5k+8LARSDOeBzj+ew5DeFrQFH4k48jijTJDzueVGLeEQAYIMmvCXCJMivUkS4VKRcHRUAOQ1xYYYeUvR4QbcAlHL/jlOAXUpWJQojzWOupbJomKs8KY6WU4lbdpxyxfujXI+JchRfWq5EO28HED0vQPqTaOb1S8YY6flX0relDCA8n2TYiRtjfExIaeOee6XPrdQYlp5P3Bgop35p7Lvg6hspXRx43RTce4FDa42BgQHs378ficT4t639+Mkcrnkqh/sP53Aso6HN/GwUm/CMFipMoGh4pXM8NSB4hH7GY4tzvJKNAOYiokDq6JzuC+mC4Ot353DZb4dx3i+G8Nvdk1vxB4CVXR6+e3ELzptNxoXEA8v5PC+X+1zp+bM1mg1dkAKiz99VpilDCXnKkUNL0cjSKyis6PKKBwBL8kScoYHTKcjfVz85ObxNFi1ahLVr19aajEpQd6f/GyRrTUAM7gAwBqCp1oTEocEsUbH4wW4f/7I2AWVOxjUTCbXAU0Qs8wGs020hxENW6DWwolXhkZzGmORBYCybnqMMaQIspUzRclzWYGmSLydMKku6dqRd0FIwAnzkkRzu763EKtFYGMoVtgZ8bXsOf7cyiX9YncCsZrKKQ/uWP3ceDkTz+Yg+58jYEvo3HNtE+AzrdVTIv2ygVfGWblFQxIBA9+qh9DAqB8YAUGxKZaUqpWLLKLd8KVxSPEx9NA8vn9fpqouW5XlemE86GLGSfuEr9a6DFmndLvpKhVEDDu8XWq8Uz9HT04M//vGPuO+++9Db24t0Oo3u7m4sX74cK1aswIoVK7Bw4cJIPqk80yb+LEo9G94uV/mlxoV0b+qnz9qE8XJddPI8rrHtqt/VD64+4rTxdtC6eL+V8+5J8dI44nVLZfi+jx07duCJJ57A008/jZ6eHhw6dAijo6ORek8Uv96dw6+JctyZUljeqXDmzAQunJ3AixYlsajVzKW6OGdbc7kqzsthW+gcLl0TpmDCLV5hyqLMg/W3MuUUMZDVuHJbFl/bksG2SXiivwsvWpTER85qRjP3FOWIU7658ioptFJawH52WriX5Aiennt/CHKqJVtwecIFaXoMwha1K3SmgxsqV9M6KC08zAzLmP6eTKf/VyrP1Bh1uf8fqI6sedKgtb4JwPNrTUcpnHvuubjvvvtqTUZVcOdFSVwwI5i9rc+UBNceZ5BBRmmSNOBuea5JPwgfzAGPHtdFnlqOkg7IhgFJQXRYSEsaAcpR8stFuUwDQNYHvrAtj1/tf2YIEm1J4D0rkvjgmgRmNQVjLzzgjyV2CQD0uoK+Dst0pafvgmHOHkuvXAONEimVW4h7ze1Z/HzP+Fz1Nm7ciPe///3jKuOZjHIU2hPJT5Uwl1InKaEupZ9CKuu2227D//7v/yKTiRf+WlpaLIPA8uXL0dnZGUt/KbrLMby4DAlxiq9LkXaB0xBnvDkZkOiOS1duGB9LBlIc/y1F7759+/Doo49iy5Yt2Lp1a1WV/RPFmm4Ply5M4tIFCTx3XgJtSRXl9RJ/cCqM1CDAE1CjgIlSVlTEYABgR7+Prz+WwXeeyOJ4ZuLGWK3hKeC9G5rw+pWpgg2Gyo4GpWSoUry92uAGAEnepLw9zjAhyZxGSZdkTYJpTR5Wd3vFeGi73+JoL6dNuuD+v/yq4/FlNgh+/vOf41WvelWtySgXjyml1teaCBfq2QMAKGwDqHsDwItf/OJJYwD4wR4fF0w3ynrAAPmBaoVIRPbqAUVreWgpJcqSJmF8gjPhnkJ7EjilBdg1AjtvnLJHJ0Ru+eVhPK80kfL8pg5X/ZWilGxA6k55wEfWJHDWNIX/3JrH8OTYxuXEUA74z605fH17Du9ZmcQHVycwO+58CA6q+APRA50khs7z0zqs9Dq6ChAZK8H49sm1iQzHjMNKpau3L4uvmJowSQEYr8IbB0nJk2h1pZ1ohY3SU+38cSvLcXmllfFSdf/pT3/C//zP/5RF78jICLZs2YItW7aEYXPmzAkNAitWrMApp5yCZNIWGbi3AmA/Q1e4a/WZruLzFXZTF1/pl2iJ84o4GeM8TlGXPB7i+kKil7bLtJ97Y5TyEIjzYBkcHMTmzZvDMdDf33/CfXGysLXPx9a+DL6yBUh7wHPmJvCihUm8/JQk1nQG35anBtpSxgB6Q2UdqvyZZApOT0gNjZv35vGVLRn8ZneuIlvzZEB3WuEz5zXh7FlJ+cwFFz/l96aPJc9RiX9DiONwyYg0jodRpZ/toxfr5XIglT9cMmZw35RQWN7hWfKvbZgKrmm/uJR/Wg9Ld/WOyeH+n0gkcMkll9SajEpQt6v/wMm3sY0LWutzAdxbazpK4e6778YFF1xQazKqghlpYP+LU0gb5qcUOfyMwDBMa0VUuOZud654mia43j4EHM0IcXxSpYyDGxroyrE02k0Z1O3LxTBo3XFlloqrBIyGfSMan3g0j8eOP3PEjNYE8O6VSXxodQKzm8kYMlDK/WzjvE9cz4cr+LQ8h94e9QIw6YMLK46EcZo8hdffnsHPdo/PynPeeefhH/7hH2JXnCmoYlEu4pSsuBVwSVGi5ZSzYhm3sinl4S71lawgx9FP63L1h8sA4qLZ5SYu0SsZeACgv78fH/zgBzE4OFhR++KQSqWwZMkSrFy5MjQKzJgx46QZjhodpbZJxN27vEBcq/s0D83n8gQACq79Dz30EG6++WY8+OCD8P3G9TA7c4aHt61K4Q0rUpjRNI7xGMolwX04hwc3xIC7f0Tjh9uz+N62DB7rbdy+Gw/WdHv4943NmNOibPmOQpIFTXiYBu6tplS+ozDpXTyaK+jlyGRSGkkmdNVhDAX8WihPAdgw3UNbSlnjykpAy5b6wEU3uz/7ZwN44HDjrxw9+9nPxm233VZrMirBC5RSN9WaCBfq3QPgAQB9ALprS0Y8zj33XMyYMQNHjx6tNSnjxtEMcMMhHy+bG1glJVMjDeeTOZ/kKUMwTIAaFESGUfi3rB0Y6tcYzZGJ3ihmnB5P2ROkIrSEZUKetIHiRE0VOUnRo2FxZZbLcEqBtXVBi8I3z07iW0/lcdXT/jNitWE4D3xhaw7f2J7Du1ck8dF1CUxLM2GDMkkqcNAxwAUMSWEncVoBw1lgKOfDUwpNCYV0orD6ZD1WbhSgqwbS+OZ0U/i6KnYjSYGgCr5rRbkSZa6cVWiuoEh7yEvR4jIk8BVNV1qXUuVS5KU8PJwirl+5YcW1qi2t4LoMIlwJlIwHt956a1WVfwDIZrPYvn07tm/fHoZ1d3djxYoVoVFg2bJlaG5ujhhG4oxBcX0cl6aU8cbldVKu8We8nielvDbi7uPG8Yl6jpjrvr4+3Hrrrbjllltw5MiRku1oBGw+6mPzXWP44D1jePkpSbx1VQqXLkgiWY47FZ2/Q9mEGAKIQWA4p3Ht7jyu3JbFH/blIgvezyS8dHESHzy9CU3SGZDSAhGPB4qLNFI/hvlR/BXLoGESLTFxXEZz5edKv0gvCdeAU9YMfpd0eGhLebbBKfQYZPn4+Az7lY5TFW2r1thxXE8K5R9ouDPXhgDcXmsi4lDXBgClVF5rfTOAut7wYT4H+OMf/7jWpFQFP9it8bI5EJUiJzSxjscpEXRV3oAyCVMOgASAVe0KW44Dvi9o05bCx2h0WUNLKeZ5XfQkMEYBbsWlhggqYFAaqBGA0yOhhAWXIqmAv12ewLnTPXzq0RyOTI6zXUpiJA988Ykcvr8rj/88PYG3nJIoDCXq8hk39qhCAODwmMbeIY29o8DeYV34G7F/Rxx8M+UVPBNmNiksblU4pa34e0qbwup2hQVt6oSUeZeRv1JU4v5crS0AcQYGSXGNK4Pnl5Q4+hun0Es08bA4RT4Okgs3V9b5gYBxdHEFVXL55t4a/J4q6ScTfX19uO+++8ItcEopLF68GCtXrsTy5cuxatUqzJ8/v2zlVErj8t7g+SS3emlrgTQGaRzfZhDnqeEyEJQybsS9b+V6z/D3Ic4jxvd9PPzww7jpppvwwAMPNPRqfxwyPnDNzhyu2ZnDvFaFN69I4a0rU1g7zYvyYsOfqcHW/JnEfkGvuv1AHlduz+Lqp3I4nn0Ga/0A2lMK/3hGGi9YkIzKbgZxYfw6XMlX0TgOGkeNDGE8bKUbjnsqo0l5Ofi2AOkzkZKBQJKfFTCzWWFOa1CIgp2JytK8DLPQRQ0GvHJqeFEKVz855mhU46HBDAA3K6XquvOrJGqePGit3wHgW7WmoxSuuuoqvOUtb6k1GVVBswf0vDiFrjTck2LEGsvCy5lYS1luAxzOKOwY9KNWY4CcrE6ZAGcKujhx0rShIk/CqeKuhbI4vZKyX8oAEKfsU/exOIYUoC8LfObxHO448swTSi6c6eF75yaxsoN0kiBEHM8r3HwwjzsP+9jcp/HUUEG5z5xkGXh2s8L5MxQumOnh/OkezpnhoT2Bks/0jXdl8aOnx2exf85znoNPfvKTGBoawthYkQeNd1WTopplNQrGaygpZzXc5T1RShGlYVdccQX27dt3wnRWE62trZaXwMqVK9HR0eFMX+6WCZ5HCufxvJxSKNdbgOdxbUEpd/y40ru2CbjKzWazuPXWW/HrX/8ahw4dKrsNkw0bZyXwtlUpvH55Et0pwv85CL/eO6Tx7Scy+P72HHYOTE6DSaU4Y0YCnzy7CXMr/TyxyxOgnHwGTLG1ZDOXjGfieBgQlcFoHRE6hLTckBTbjmKalqTChukeEnFdKPWXZ8KU3V5F8tAvDQWXZ109iM1HGt8DYNasWejp6Yk1ptcZ3q2U+u9aExGHRjAAzATQA2D8H5s9iTh06BDmzp07aQTi75yVwNsW05NJEV0FNzzR9T5KCqwrzJTpUHqfGtI4RG1pcRM8dz2Lu+ZKusRAuLIvtcOl6PN28fqMoYH3YQWGFA3g53t9fPXJPLLPMDllbrPCLRensKZDhc/W18BDfRq/6/Hxux4fdx7xkauD19JTwJndHi6d5+HVizycOc2zvz4YjIc33Z3FD8dpALjooovw1a9+FUBBCRgaGsLQ0BBGRkbg+75zpRCoTNk5WZAUGmlV1eUuXq6LeDkKtVRnvRtRPvOZz+Dhhx+uernVwrx587BixQqsWrUqPGDQfE8+bpW8HKNIpQq+K+2JrPxXA6WMBKUMJGbF/5577sGPf/xjHDx48KTR2mhoTgCvXJLC21Yl8fz5SVGofPK4j/94OIMrt2efcfzUBU8B71iTxl+uShU91OLkofHAJceVk9Zc8zgDs93ApKeyGT9TgIab8kotzJSQ2zwFnDrdQ0uSyZdhPhX1ALDaqgW5khJF2qqBJ/t9rPzRgIPYxsKb3vQmXHXVVbUmoxIsU0rtrDURcajrLQAAoJQ6orX+I+r8awCzZ8/GOeecg02bNtWalKrgB3t8vG2RcVFikyKdj/me+VLKvZTOdU2wpFVhMKftE/AlxkBdz4yFVGIkhjn49oRZnIApQ0H0njMC88v3mfN4zfIb5Z+GS3n4NQlTAF6z0MMZ3QoffzSPXUO1V+AmCj2jGhffksUvLkxh13BB4b+hx8fB0frrA18D9/f6uL/Xx2cfA5a0KbxmUQKvWeThvOle+AnrasicVEloampCOp3GtGnToLXG8PBwaAwYGxsL01WyQinVU05cJava5WxhkAwY0q/LXdq1qsxXGVxu+tVAqbLiVrddLuYLFiyoawPAgQMHcODAgfBAp1QqhWXLlmHVqlVYuXIlVq5ciRkzZkTySe7/pcJKIS6ta7tBnJdGHMp5X0q5/7veAZN369atuOqqqyZsG0gjYTQP/HhHFj/ekcWSDg/vXpvCX61OYXpaYTCr8d67xvD9J7PP6L39HAvaFD51TjPWd7PDb8qQ25yIVaK1fB3WxRZ/lGIyl6D4m3C+3YBuIQ1lRFo+ol8l4Is4BmV8wWBZJ1H+qQwYptfFOKbPFw0bLJ8xCihEMk2W0/+BwtfWGghP1LvyD1TPZndSobX+WwD/VWs6SuGTn/wkPv3pT9eajKpAAdh9aRILm6nyH8wycUq+uVfsHiyOpqfhMRbU0TzwyHGNfLnMOc56XMrKLMWLjIfQaOimRbksxi4jCoS0/Huy9EwClnY0D3xlex6/3D+1dNFIWNyq8JdLPPzNyiTeuSmL347z+b3oRS/CF7/4xZLp8vk8hoeHMTIyEhoEgKjSXAvEKVelXKNPtmeDWWWthiHA5dFg4k6kXQcOHMAHPvCBht7rPW3aNKxatSr0Eli+fDnS6XTZCnfcdguKUh4fcWmluBPFePMfOHAAP/rRj3DPPfeccBnPRLQkgFecksQDR31s62/c9+Vk4CWLk/iH09JoTSAq/3Dho561Cck7wOU5auUDUdC5gu+QCWlagjktCks7iGGZy7vSwhKEe57WCrNl2cni/t/U1IRDhw6hs7Oz1qSUiy8rpf6+1kSUQj2/siG01nMB7Eed03vPPffg/PPPrzUZVcN/rk/gQyv51wCo9ZIpx3Q1m2cxZVA3Khpn8pp8kmIN4NgYsG1Iy4YCCh5fSsmnaUKrL29fDPOw2snupQkbLB2nm8dHrMG0bYgYBW455OOzW/MYzAnlTaFukfKAaSmFQ2PjU1Zf/epX41Of+lTFSkUul8PIyAiGh4cxPDyMbDZ+BaGUkm5QzpYD7oEQR/d4FHyXQu0qf6JQ7mpyuZ4V3/72t3H99XX9GeKK4HkeTjnllNAgsGrVKsybN8/pKRL3XF3jsdItBBJK5a/Uy4bmM+XTsKGhIVx99dW44YYbkM83vrA/hdqjPaXwj6en8YIF5tAatvhTSv6Kw3jyVhOuBaI4DwIFe0sAVfpjFPO2JLB+enBoMV8okxT/UkYAsDi+iARge7+PVZPE/f8Vr3gFfvnLX9aajEpwqVLq97UmohTqfgsAACilerTWtwF4bq1picM555wzaT4HCBS2AXxopdHKiaYuWT1D13szeYJNWNQ6iqLSSmGUWMkSG5y8Or0JmJcFDowhOmnSsiOr6FqYeNmMSfde0a0EYZkCY7DKYAzB9YUCzjRonGQkoJ+2k9zRuEeABi6e7WFdu8K/bM3jwb7aruROoXxkfYxb+QeAjo6OWJdhQFbQ0+k0UqkUurq6oLVGLpcLPQSGhoaQy+XEsuLq4fdx6Uq5/VMFTXLTL/fsAJO+XPdvWj4tk4fzOAmSAkq3I8RtTTDtjtsWYMLe9ra3IZPJ4Kab6vYzxBXB933s3LkTO3fuxA033AAAaG9vD7cMGMMAPWAwzjggPX/6TMs1DkgGJT6mtdbic+ZwlcHbYmh44IEH8D//8z/o6+uL77wpTKFMnD87gX88PY25LXxRRyP81JyRkcy9tfWRCDMRBZnLj4jKanHKbjUhLeiYcGthh8T7OpqfLoABtkLvayQTCqu6EwjZFT9rgMp8LtYvyboU9MsEAb73xOT5PNRrX/vaWpNQCYYB/KnWRJSDWtvgyobW+n0AvlJrOkrhjW98I370ox/Vmoyq4aHnJXBaF12aD2BNmtQyTCdDvhwOolwrMvHFWFR5MSjwnMeOawyYxclSSrTLuuqyuHI6xrMSKHkQmPCwQYwh8ENnzL1xKQsVfx39ZhwzgOR94MqnffzvrvzUvsZnEN773vfi3e9+t6hQjGd1M5vNVuQhEId8Po8nn3wSWms0Nzdj3rx5aGpqOuHy6hWu7QqSB0MppdBAMiDwMkz6W2+9Fddddx2efPLJk9PAOsP8+fPDrQOrVq3C4sWLwwMGgajBpho42R4jfGxkMhl8//vfn1QeHlOoLbrTCn+/IYUXLkwWFQMqS5nFByqTmDROeZDWQGTDiNIvLPqY/KWU35MBl3cATwPYhgR+rzVWd3mY1qyiMp9Jw2U8ulBE5TvuXQA4+yaXB0754QD2DzX+lpYGdP//rVLqpbUmohw0hAdAgF+gAQwAL3vZyyaVAeCH+zRO62STldbFlXHjKk8npfA6mJ2MFRkgk6owa1GLqmUgsMtWAFa2Ao8cB7KapDHpLeU9pnFKuDYGiTgGIBkLQO4jbUE03sQpZdMaYSYoMgV+wCBlFrzt+cJvQgFvP8XD2dMUPvVYHgfq8HC8KVQfZhVUWtHkq5smvhwFJp1OI51Oo6urC0DRIGD+stmste9cUl4HBwdx5ZVX4q677sLQ0FAYnkgksGzZMqxZsyb8mz59utUO6cBA2gZaL01X7p7tarmBu+ii96U8JspN7/KgMNcXX3wxLr74YuzZswdbt27F9u3b8cQTT2DPnj0nVWmtFfbv34/9+/fj1ltvBVAQIJcvX45Vq1Zh9erVkQMGS201MWc9lBoTlbj1l7sNQPIa2LdvH774xS9i165dZdc3hSnE4SWLknjf+hS60sLKdyhbwJbNjDJv5EHAllUA2JYEtgjkWnl3udVz8AUclJGuXJQzL0oepCHdhd/5bQrTWjw7PX/vNYhsLZRF5Tp+0KBVRjH/7/bmJoXyDwCXXXZZIyn/APDzWhNQLibSpjZuaK3vBHBBremIw9DQEObMmWMJto2MBc3A7hckC+5LdDIuxzJLGYRi2rykOFvKrLbDKdMI0J8FHh/QEA0FLsIUSyKFVWJxdlllrTrLsCZLaSXvAZcV2dRr+jv8Rmwx/Wge+N7uPH64uz4+izeFk4d///d/x+WXX26FSS7NUlwcSqXzfR9jY2MYGRnB6OhoaBQwys6OHTvwuc99DocPHy6rHbNnz8batWuxZs0arF271lrNda2gu/Z2l2o3d9Uu1fZy+sy1bYDfx7n00/RxdcRtgZDyDA0N4cknn8S2bduwbds2PPHEEzh+/HhseyYLZsyYgdWrV4deAuaAwWrgRPf4l1PuzTffjG9961vhYZ1TmMJ4ML+1sNf/vFnsg4hU6Y/IM5DlHiC6AELT0+/Y07hQTqGyDlkZp8YGTgv1OK1IbmOLKScBHWmFdd2eXU3E6IFi+zhdTq8IXfQMkD5brTUuv2EY1+6aHAdA/fCHP8Qb3vCGWpNRLrIA5iilemtNSDloNAPAPwD4Qq3pKIU3v/nN+MEPflBrMqqGmy9M4OKZyh4tZs8RYCvSdD86IEzYJlzZiqonMA7qQUAtycTqu3dUY++IWEG0ISLDQpSZuQwCvAxn26JVO1GJcYDns+oWLOrcgBD87h4FvrAtj029U1aAyYpvfOMbeOELX1i2giqtnlcL5mDBo0eP4k1velPZyr+E1tZWrF69GmvXrsXatWuxcuVKtLa2AojS7WqbpDCfSJtLueVLkNz1XXv9K9kOYOJK0RpHo9Yahw4dCo0BTzzxBJ566qlnxMFyiUQCS5YsCT0EVq9ejblz51rnLdQSw8PD+O///m/cfvvttSZlCpMAngL+YlkK71idQrM55w9wKNmQv1RkKd0OOYZ6EZgVbLoYFLegZMktJp4pyHwracyCUSzKNRyUiZQHnDo9gTRdODOQ5Eup/0otANFzrUh4z7DGwquOl/+1rDpGU1MTDh8+bJ3rUuf4jVLqZbUmolw0mgFgCYCdtaajFK6//nq85CUvqTUZVcPbF3v43zOMGxNAvblKuthLE3vJVXPCNEx6fio/Sfv4gI/+HC9EKpzP8nFm4xiOEJfUdU1JqsRS7WICEUboCJfyewpaAzcd8vGVJ/M4MnnOiplCgKuuugobN24suSJuELdqWa67PQcv89Of/nTVDaNKKSxdujQ0CKxduxazZs1ypnUp2+XWVc42gkoR5xngSluJCzmn1xUueSRkMhns3LkT27Ztw9atW7Ft2zYcOnSo/MY1MNrb27F69erQU2DlypVoa2uz+qrUpyDLebYuA5ypZ+/evfi3f/s39PT0VLmFU3gmYlWXh38+PY3V3V5RDqEH0/GFDCrzVTLVSTKeJAOF3p+CUcBKq2xaLU9HkpB7kwLEdV7bZdH6ykGZRoV10zx0pkg6Vxal5AOqzbXJy2VgmgckHsB/bB7DP90zWmaD6huXX345/u///q/WZFSCtyilrqo1EeWioQwAAKC13gTgnFrTEYdsNosFCxaMa6WrntCZBHpelESLOTHCNWGaCctlLeb34eRM8piJnBsAKBNgheW0xsPHNTI+tzi4EDfsy+AGkg3BXJeTzzXJ8zKp0h5nWIgjXTIGkLjhnMa3n/bx073+1CGBkwi//OUvsWHDBgCy0liOYug6qI6iEkV048aN6O3tPcEWlY+ZM2daBoGlS5dah8DVE0r1n2trQJzSyOPjDD8Grm0DUp7e3l5s374dW7duxRNPPIHt27djdHRyCJylsHDhQqxevRpr1qzB+eefH34tA4i+L1Jfl/O+0K0ojz32GD7zmc9geHi4+o2ZwjMK7SmFt69K4XVLk0hQeUvaV+6SaUQ5BeWJXXCkiSyI0MUOlpCGG3mGKvTmnh5YSLcdcFppvBjnaDsHMQwsavOwoE0oT2pvuYtCoWzNZDiQflAKGsDqHw9ge//k2P//ox/9CH/xF39RazLKxRiA2UqphtlH14gGgH8E8O+1pqMU/u7v/g7f+MY3ak1G1fCzsxN47XyFCAOg2wBCK66yGQNXXinziZsI+YToCgcwkAMeG9CEhFLmZ14gDRcQJpNm6ZiZuxJbhIvZlDK4WH1LrMRxK5PMM2DHcGFbwIP9U1aAyYBbbrkFixcvBhBV2gFZWanmwXccO3fuxAtf+MKTUnYpNDc3W9sG1qxZE24biFudrWR/Pw935T+ZfVwr+L6P3bt3hwYBc8DgZEcqlcKzn/1svP3tbw8PxawUdMx5noempiY0NTWhubkZ9913H6644opnjHFlCicHngJedUoSf7Uqie4m8ulUs4IORA8YNqDyC00vLUiUWtgYD7g8Y1b+ebyl+Jvf4MJyoydhxphg2si3EQB239A41mfdaYU13V58Wm44AUovCNF2u7wAAPypJ4+Lrp0c5481Nzfj0KFDjeT+/0ul1CtrTUQlaEQDwAoA22tNRyncdddduPDCC2tNRtXw8rkK155rNjQhygzAJ06SuRJllnsPUETKJQEa6MkAu4Y1q6OUmVW6p0RXon2XaRgoZVnWQr44C3GMYaQkCOPTAH53UONrO/LoPfGvu02hDnD//fdj2rRp4X2pFX/jzlxqz3O5CixXprds2YJXvOIVFbXhZEEphVNOOSU0CKxbtw5z5swpe2W2VpDODygnrSsekA0gcYahUl4EJm5oaCj82sATTzyBrVu3YmBgoILWNg7mz5+Pf/3Xf8Xs2bOdafjzSKVSobJvFP5UKhWm+8Mf/oD3v//9yOUmx0FeU6gNLpidwHvXpbC0w7MVaEuh1WQFHWThhim/XEkFZFnGZRCIW9wpB9JiSlgWU/Cpp4Akk/L2UAMCSDhYn1l12G1Ie8Bp0xNIeijKcOWIkSac0mrO0oprM88D4C03j+Cq7ZNDeHvlK1+JX/ziF7UmoxK8QSn141oTUQkazgAAAFrrBwGcXms64qC1xvLly7Fz585ak1IVJBVw4NIkZqZgW1UjYOGiJVOwssYJ39RiGimLQAE7hzUOjiE6QdJr5wQay2GEist9fSrkemW0UyzedV8uAgY3mFf45lN5/GK/j8nhSPbMw7Zt25BKpaywUgfLmWtg/KvbvK7e3l6cffbZJ9iak49p06Zh3bp1WLt2LdavX49ly5YhmbS/khvXJzQ87iR+af9+3F7yuK8DlHMgYDmHPJ6IYaPSPFpr9PT0WF4Ck+mAwUWLFuHrX/86EolE2C+e5yGVSoWfzqR/cVtSfvWrX+HDH/7wpOmbKUw8lnYovH9dChsjp/srWd7iyr61Yi2sgltlIl6uKkcWcym7IX0srVS/RI+5UarwaWSPJbLS0bYKZdA81NMAgNLA+uke2lPMMCD2NaOVto/GS93tWjzSQF9GY95VAxidJNPGj3/8Y/z5n/95rckoFyMouP8P1pqQStCoBoCPAfjXWtNRCh/72Mfwb//2b7Umo2r4+qke3rNE2UxEshSbCZd/wkVy0TLgRoUwnoWB57GDtAK2DWr0Zli6MAHYpM4QmXzjuBLjaOG5BWxWj4SXC8GYIin7QpWxceUYCDTwxJDGf27z8dhAZcrBFGqPn/70pzjvvPOsMNfn4sp1VR/PCrjWGhdffDGefvrpE8o/0Uin01i1ahXWrVsXGgY6Ozsj/VfOtgGXgl9qlb7UIXOuZ+j6OgG9l8op9WWBcp9/uekymQx27NiBrVu3hoaBRj435+Mf/zhe8YpXhEo+NyCVg5/85Cf4+Mc/Pum2iUxhYtCdVnjn6iRevjiJhKhAUtnNMcZ4HF/5Bor3/HPDVMazygx+XXKgJKMgJp6j0kUPeiAghyg/UTmOxhUClrQrzG1RpGxGHN9CwBfBgKL8KxlHXIs8JPy/H8vg3bdPju1Czc3NOHz4MNrb22tNSrm4Rin12loTUSka1QCwBsDjtaajFB577DGsX7++1mRUDes6gC0XJQLhkFlElTQ7BddmojOzosVEzIRH0xGYqjwgXI6OU3A9wPeBRwc1hrKwJ0kF+8BBTq6LyYjMhXAp0aggGQ5IuyOGAil/BXAZBeKszdIvS+cr4NcHfPzXUz6OT3mjNgza2tpwzTXXYO3atSVXo1040dVjl+L6i1/8AldcccUJtacesHjxYstLYMGCBTWjpdzDF2l6A9e5B3En1p+IIYCmLTfP0aNHwy0DW7duxfbt2xvmm/cbN27Ej370IyusVLvpu/id73xnUi0YTGHikPKA1y1N4q0rk2hPsnkhTtkvN02cUcDcA/KKd5gGUWOBlLZcYwCEdC4Zrpx1HEmGcqUFwj6Y0aSwspt87y+yMMYaVslijYH1qWxE+wDA2b8YwgNHJsfy/6te9Sr8/Oc/rzUZleB1Sqmra01EpWhIAwAAaK0fBbCu1nSUwplnnokHH3yw1mRUDTee7+GSWcxyKc2c1ChALc4RQwHPz+CaLKnV1FPFPVMBsnlgy6DGGJ0PuZJvwlxkSMqzZAnmcS66XenpWQYWUaWMKiXM3hJTLJXWEdaXA/7rKR+/7pnaFNAoWLhwIX7zm99g+vTpsUpYJQpdpYonRT6fx1/+5V/itttuO6H89Yaurq7QQ2DdunVYuXIl0ul0WXnL2Y4RF+7y5IhT5inivATK8RCpBsoZS/l8Hk8//TQef/zx0EugXg8YnDt3Lu66667Yd8z1rv30pz/FRz7ykYkgs6rwFLB4VhrL5wZ/84rX3W0ePKXgeSj8KsDzgExO4+lDWew8lMHOgxnsPJjFzoMZ7OjJYM+RybF/eaKQUMBLFyXxlyuSmNfK5bIKUUrJd+UB3DIe9xTg+WjechRwmoeutLvkOJdoRetx9Ze4YKIsejuSwNouzzo6oJifCGAhvYxIq994XaY+Rou5IAtrm4/6OOsXk+PwP6DgCfX617++1mSUiyEU3P8b7lMtjWwA+BSAT9SajlL4/Oc/jw9/+MO1JqNqePmc4DBAl5WWw0xuGvaJs57LtEsnNgNhlpYmfDbRj+SBLcc1LJuoSRN32CCtQ0Jcm7kyr2EzAosIygSEhlh5KyHIZSovgTKq2tKv8bWnfDx8/OQoBVOoLl784hfjm9/8ZmyacgwAdFW/HMXQVWYmk8H73vc+XHfddWVQ31hIpVJYu3YtTj31VKxfvx5r1qxBe3s7fH/KaCbBdfZEKQwODoYeAuZvcLD2Wy/T6TS2bt1aclsHfy/uvPNOvOUtb2mIPf9KAWcua8ELTmvDC05vx7PWtqKVniw/Tuw8mMENmwdxw+ZB3PTwIAZGpt4dCUmj+K9MFl3PKcpYWzkhlLt14ESMCSYdIBsS+HslKcwuVOpNUAaaEwrrp3lIScM/bp2LewjwbRTUq1aZdCraXlL4390xim88NjmMZw3o/v8TpVTDfKuQopENAKcCeLjWdJTC3r17sXjx4kmzp08BePLiBJa1IjqJmnsN+/OAFmMAU9QFpsEneh4WUb7dXOB4Dnh8UEd5j6TsUvr5myFag1nacphRXD4xLe0TyZTtMi5wwuOIKQOUFwO4v1fj20/7eGjqs4F1j69+9at41ateJe5fNyjlHRB3EnypveocWmts2rQJ3/nOd3DzzTdjZGRknC2sXyxduhRnn302zjjjDJxxxhlYtGgRgMLKtu/7yGaz0Fojn8+HYblczupPqd/jDvurJH0jIZlMIpFIIJFIIJlMwvM8JJNJKKWwf/9+bNmyBY888ggeeughbN26dcIV6tNPPx3XXnstgGjfu/p63759eNnLXoZjx45NGJ2VYnp7Aq+6oBMvPKMdzz+1HTM73QcYVhPZvMY920Zww+YB/PzO43h8b2NsBTmZSCrg5YuTeMuKJOY0B/NtJQowv55ISGcJSAi9OnU0Tzn5y1gcipXjQPI48ic9YMO0BJoTdnhJ7wIqx4mimrQIRPJqSnAh/UgOmPfDAfRnGms+d+HVr341rrnmmlqTUQlepZT6v1oTcSJoZAOAArAVwKpa01IKz3ve8/DHP/6x1mRUDVcsU/ji2kDDV7DnrHIZkWjNZJBWvyPKcHAdrpZHcTgD7BjS8XWFdRI66T2NN+cImG0HvM0RslXRC4K3HUJ+KaysxX2eoeICosXFPCOtgPt6NT63zceB0cnBfCYjOjo6cPPNN2P+/PkAIBoAOMajIFaSN5fL4bHHHsOmTZtw3333YdOmTejp6TmhehsBXV1dOOecc3D22Wfj3HPPxemnn46WlpZIOt/34ft+aBjI5/PI5XLI5/OhwUBrDd/3obW2/kwY/TXXgGwsoKjG4ZBKKSQSidBjxPO88M+EmTQ0zKThij49Xd91TgGleWRkBI8++igeeOABPPDAA9i8efNJH1fveMc78PGPf7zs9KOjo3j1q1+NLVu2nESqThzPXtuKd102Ha+5oAvN6dqKiloDm54cwXdv6sWP/9SP/uH695aoJlJeQfF/87Ik5rQaWQjls3NJHKg36T/Oa8C11UAyCNAFI75VwKoPxZV4ugUhTnRCQfRb2+2hw/VOSIti9FoKkxCmDy6oNy2h9Yc7cnjTLZPHiP7Tn/4Ur3vd62pNRrkYQMH9vyFPX6y3KaAiaK0/C6DuN85961vfwjvf+c5ak1E1dCWBvZck0M4POeYTnPECkA7vi1O0pcXuMJ/LvCtckwl+7yiwdzSIp5ZUheKWBFexEo3lGDp4WxSibePMAohhCIbxWYEkzGVZ0KzvKjACREAsz3ngs9vyuPHwlPJf73j+85+Pq666quSqciV7v6XP33meV7HhgNe5b98+yyDw+OOPT1o3+mQyiQ0bNuCcc87Bueeei3PPPTf2e/IG5ZwVIKUxq+LUcGBg0kqeA6Y8HsbHgFHgXfFxKOVJIo031zkHkpFg//792Lx5MzZv3owHHngAjzzyCEZHqyO3dXZ24tZbb8XMmTOttrjeB601rrjiiro76KqrNYG3XNyNd106HesXN9WaHBEjGR+/vGcA37upF394aLAsz/JGRcoDXrE4iTcvT2J2cwy/dhnrYxTZMEySd06GZlDu9oETKY+eMRDnKUANB66vFUhyIIlb2eVhRrOS+6uUoaVSQ4wkE7IzAy7+7TBuPTA5DGItLS04fPgw2traak1KufiBUurNtSbiRNHoBoCzANxfazpK4dixY5g7dy6y2cmxRwcAvrHBw7sXw55gJWumywIKxDMcHhZnKTXxlpcAiiv1AXYMFbwBohWZ+iRi2D1lHNbkTAwK4qq50EhzDoHLCEKzSf1qFU0SWeWx8DBfnCElzmRdCO8ZBT78WB7bByex9BWgOaXQnFIYy2lkchr5BtVFr7zySrzwhS+0wqqx2ltOnAtxe79NeQMDA9i8eTM2bdqETZs24YEHHqiLPd8nC4sXL8a5554bGgVWrVplfTe+HMXXtb/etfJfrsv6RG4dGM+Bk3EGEqDQjlwuh8cff9zyEnjqqacqrksphS9/+ct41ateJcZJ/frd734Xn/hE/Rxh1NWawEdfOwvvecn0qu7pP9nYcySL79/Sh+/d3IsnD0SYe0OjOQG8f20KrzglGbH5i7KQYdVOGcSBUvKFhJNlJDgRuLaRxnkH0Djafu49AFhnVy3uSGB+K4s36SWDAUXcghLgfg6RMBV+YvvJAR8rfzp5Dv97zWteg6uvbqjD9F+mlPpNrYk4UdTLK3xCCLYB7ACwtNa0lMLll18e7g+cDFjTDjz6HA+edPyppD/HMSQ+KfJ0Lgsr11OtU1ZhK8UoRG0dQnGvlLW/nhQYKtRwrK6zxiglty+kC0VFP87gQQ8mNPf06wYSCbQfaLsjjI6kjfRfOZynSPDmfo1/fiyPvklgz2pr8rB4ZhILp6ewYFoSC6cHf9NSWDgjiYXTkpje4llDJJ/X6BvOY/fRHJ4+msXuI1k8eSiLe58awwO7x5DN16dRZPXq1bjllltKKlXlnA9QqSI4XsWRKnT5fB5bt27Fvffei/vuuw/33nsv9u7de8Jl1zs6Ojpw9tln45xzzsF5552HM888M3aFJM6jg1+X+hIARalxUelXJsodE3FGIulrCHFxpdp37NgxPPjgg5ZR4Pjx407auru78Y1vfAMXXXRRyXYY3H333Xj9619fF4f+JRMK73nJdHz8dbMxo2Ni9vafDGgN3LF1GN+9qRc/u70fg6MNaqUV8Ny5CXxofQozqQeAi/+XkuhdaxxSGleeuLhKcaJ5x+NNELfVwNyH9BXlwzktCkvbVdFoYB3ch2ifmsUikLTl9j+9dsnCAD54zxi++MjkMXz97Gc/w2tf+9pak1Eu+gHMUUo17OEkDW0AAACt9ecBfLDWdJTCz372s0b6rEVZuOE8hRfNVPYkSKGFCVJiHtK96xoounsZBdkLEpkwo8BzJqCAvA88OqgxTL9pz1fPrUnaKNOk3GIDBeKp4YAwCuo1oIO8oZGhmM1Kww0AFNTaT2Udl7GAx1s3DgmAGQg0FH6x38eXdvioUx23JDwFnL+yBZed0Y7LTm/DWUtbkOCeE1q7r4FCf1MDi4n3NUYzGpv3jOH2J0dx7YNDuGNHfW0N++53v4uXvOQl4X05K8IcJ/KZOKm8Uiu8cUodp72np8cyCGzZsqUuFKyTgUQigXXr1uG8884LjQL0fAdAVpZNfKk46eDAuGcuPSMTXs4BkidiGCq11UGiJ65Nri0PWms89dRTuP/++3H//fdj//79GBkZQUdHBy699FJceuml4Wc2JfD2HTlyBJdccgmOHDlScZurjddc2InPvXkuVswr79OVjYKhUR8/u6MfX7/uGB7YMTn2RrcnFd63NoWXLkrIjooSylloMJDkBEn2kOQyaXGhXlCpMYCHB7/dTR5WdykmPtEFFpK+FKR0pWRjEwaE/Xw8q7Hox0M4PkkO/5s+fTr279+Ppqb63Hok4HtKqbfVmojxoN5e14qhtd4I4O5a01EKIyMjmDNnDgYGBmpNStXwZ7MVfnNu4C5IFSJr9Vy4doErrZISy8O4G73E3FhZYz6wZUAjq0kcV/RFelikyzAQ8SpQbEJnBLmUddovgEyXKw8caSQBQDI+UAFAAVkf+MKTPn7V03jMZv70ZKjwv+C0NkxrTVhKe9hms4fQWO/NNdg9jafpNUuvgf39efzf5kH85L4h3F4HxoBTTz0VN954o3PV1KBcw0AlCp1LERyPd4CrDUNDQ3jwwQdx7733hlsH4lZyGx3z58/HeeedF54jsG7dOiSTxUNayj3sz2XUKXeryER7hhiUs12gnHMT6H2prROVtlsphbe//e24/vrry27XycDSOWlc+f4FeM66htlne0LQGrjriWF87bdHcc2dx5FrVKs1wTkzPPzTqWksaFGy9O7i5WDhLsTFu+LKlVvKpbEWkLYMBPdtKYV13R4SHgnn8p5UFi3HLADRcFNE+FlsyM8rLJfcK+BLWzK44u6GXXyO4AMf+AC+9KUv1ZqMSvBipdTvak3EeFDr127cCLYB7ARwSq1pKYW3vvWtuPLKK2tNRlWx7SIPK9sQmTQBFiZNsAau8FJxHJK1W7JOK2AoBzx6XMPpKBixyAYBkkFCqs9E8gnfOnBQYhymfFKYaDxxcE0XczXX/J63xXhUkLijGeAjj/t45HjjCFDnrmjBay/oxGVntGPDoqZCt0jKPmAr8GDX9L6UYQBCmtBrQOPBvVl86ZZ+/Pi+oZpuE/jRj36EF7zgBeF9pa7f40GlZZVrpCi1GpzP57F9+3bcc8892LRpE+69917s2rXrhNrQCGhra8NZZ50VGgXOOussdHV1WWnK3R5Q6pm5DAnjGTMmv0vxrgTlnJnA056oASwu/KabbsKb3vSmimivNl7/7C58893z0dXauO7+J4L9x3L45g3H8M0bjuFgX650hjpGcwJ416oUXrckGeqNFg+XeD3FeIwCEbmI1U/TxC1cSHXwMkthAgwH6YTChmke0tKxGK6tBHFbCjgk+TaufwJjQi4PrLh6CE8PTp6tLo888gg2bNhQazLKxTEAc5VSDb0RtuENAACgtf4EgE/Vmo5S+P3vf49LL7201mRUFe9fovDldZIiyiZDSemXVs3LdaNylROhA1EGFFz3ZYEnhrTbQyxudV2KDxkcMRaA3JtETs8IonVrkDMNyuGk5D6sLghzCQBcUBCwaxj4wJY8DjaAoVkp4PLzOvEPL5+BC1e1FJpElXDAVvx9kwD2NgpqAKBeASaOlxtnHDBxZDwc6M/jS7f046t/HMBYbuINAc961rNw7bXXxrpBu/aRA1EF0YVylcBquYVTlNoTDgCHDx8OPQTuuecePPzww5PqoFYKpRTWrl2L8847L/xbtGiRFU9R7jPmdZzIVpJKEbeSb8ql6UqdEyDRI+WLi5O+XmDilFLIZDK46KKLTuiQwWqgJe3ha++ch7dfMq0i9jrZkMlpXB1sD7j7ieFakzMurO/28M+nprCs3Ysa9Pm5Q5IsQ9PReC4PuBRSl1FAQrjaLZTnWozgos+JGi1O0FCQ8BTWd3topV+7stpNFP1y6qjEYBC3WKYUrt6Zw+tunhzbWwBg48aNuPvuunfkpvi2Uuqva03EeDEpWIHWehGAp1Hn7cnlcli4cCEOHjxYa1Kqho4ksPf5HjrpJGkmLbPiqlTxmkOaOCuxoEowk6pknWY4OKqxsxzPbBeTi2N+EQMBUe6psSA0AjDuR29pO0wecxaCZEyQjAAROg3z4bQWAp4a1njPI37dH/bXkvbw9ku68YE/m4EVc1J2f0UUeabw03Hpa7uPpC0B5p7mNWW5jAO0bFWM33kkhw//qhfXPDTxgug999yD5cuXxypEBqVWOePcxukqbqnyykGcMaKUGzenkbd9ZGQEDz30EO6+++5w28CxY8dOiM5GwJw5cyyDwKmnnmptG3Apwa4V+RMxGlQTpYw+Li+RcuLijAflbJv4xje+gU9/+tPVaGbFOG1JM37ywUVYu7Bh9tZOCO57cgRf++1R/OS2fmRqYIj9/9m7yjA3jqT9trRattdrxjUz464pzBe8MF3IF2bm3OWc5MK5oC8cB784zMmFzRCzY2ZmWt6V+vux6lFNTY9gLWkkWe/zJDvTWD0aT/dbVV0dDXhcwC29PTi5KAOCEngg/PWWLi8YKef5FKGUAaGIeShlQDhjiwL5FwLo0dCFgkyNAeVAoCP33CCkK6/Ws/7s4V+WY9q21Ilx88orr2DMmDFOixEJjhZC/Oi0EAeKhCbMkUBK+Q2A452WIxRuuOEGPPvss06LEVU820vguvaEeAIB0k/TAHvCD9grCXTg3gK2VvXQWFcBbKqK0gKAf+AleQa8C9OEZqP11XoI+K8lKWvS4Ntojy1t2GNtBXD1fC92JTD5b9koA9ee0BhXHtM4EMHaRPAZ2aeknG4HoM9NWShMngKMzCvFiqobzCuA96vxGvh9ZRUu+7+dWLEjfq6pd911F2677baQLs+AlbDb3UfLomtn4aXth9rzHYy4qXxd23wMdNvA9OnTsWLFiojHlyzIzs42tg0UFxdjyJAhKCwstCX7PE2hvu+Ay+Wy1A21BURB1Q21z5+Tdl17fIyhvGQU7N7/rVu3oqSkBGVl8T+u6+RhDfDBre2Qo/VhTgMAtu2txbjvduE/X+7ErtLkJFXHt3Hjtt6ZyFH6O06e+QlDKk/d82vByqvXR7NF0JRPwful6ZEsTSwGEE2bYHnhKCuCKBU6N3ShWZZmHRZsLWvXXiSeAiYlDOvfnzZlay1GfpU61v+8vDxs3rwZDRo0cFqUcLENQBshRHLvJUJqKQD+CuBjp+UIhRkzZqC4uNhpMaKKrnnAktEuuOyCyynoPpD84whYj/PTwY4wG3vsGQm3+ZgqLC8DdtbEyApgTEBhjEuVBytrO2GS2c2iBCEVTZNm8BXA+gqBqxd4sSNBT5fpU5SNm09ugvNGFyDLI8xEW0u6/WmGhZ+WIw2rfG7tp256Rhn4n6m0bh+g/drJpPrzY1+FDxe9vxOfLYzPxN6rVy9MmjQpbCuvHepD+qPp4m+3d92OtKly9J7W5e1QmQFg586dmDFjBmbMmIHp06djzpw5qKpKgv0x9UT37t1RXFxsKAU6dOhgPItIn78OkXiJ8LRQv7MdQm1vCdZGJIoA9fe6667DBx98EFSmWOCc0QUYf2NbeNwps8yLKUorfRj33S48/ukObNubfGv7TvkuPDwoE+3zBCykGQhuHZeafGjKcfD1nHEqU4h6HJH0YUfs6XWorQZB0DbXhbZ5unUTk1enFAnVT7jPRFfOvwY54+dKfLwm+d5PO1x22WV49dVXnRYjEjwuhLjdaSGigZSZGaSUmQDWA2jutCzBIKVE165dsXLlSqdFiSq+GSJwfDOb1ymYBpdrbMP5SOvcpYK5U1ElgE4ZIAR8ABbvl9hPDQAazXDMYchIZNBN5gB7jlTpAXMlWoY2qPEu2FgpcfUCH7YlIKdpWZiBZy5thbNGFkAYHhAwu9d7yW9O3f6pIoCTcjulgUUR4L/Q1bUEFeTtkXyvtFpYpEStDzhz/I64KQFmzpyJrl271olgQ5IVgpFlns/rh0Os7UiinWXYDsHkCWa9DqUU4PKr9MrKSsyfPx/Tp083lALbt28PS9ZkRNOmTY0tAyUlJejfvz8yM+2PkQv1+x4ogrn903sqi11Zu/c61HtgpwwQQmDWrFmOxP257KhC/Pfq1oHI5WmEjYpqH17/cQ8e/WQ71u9IYBc4DXLcwF19PTi6VYa+gIXcs8VWMILNIVl5XTwBOxl0az4KSq75WoiXt1NauFieTiY2xmZZAp0buAJ5tH27NaSdHKHWcMEUMSYZA2u7Vft96PpRuWm5keyYMmUKhg8f7rQYkaC7EGKZ00JEAyk1O0gpHwNwm9NyhMIDDzzg2H7AWOG4ZgLfDongdbJTCgSbbHR1BSsjYP1I6641yoNaCSzcJ1HJP66hPtB2ZaONUBNrsLLG82XCEU+BLZUSVy7wJVzAPyGAq45rjIcuaIFGuW4r2QYIyWeKAYBsByC/OyfulMyrfItygNVX1z7yTlmIP+vH6FuSrQmBviprJUY8vxVzNsV+4Xnvvffi1ltvBYCgRMYOwcoF2y/u1B5xQE8Y61Mn2JhWrVplKASmTZuGJUuWHJjQCYysrCwMGDAAJSUlhmKgSZMmIT0xgr0D4ZB61Y4KvqfydWm6dkLJFsw7QJXj6br2jjrqKMyZMyfs5xkNXP+XJnj6slZ1Hnlp1BvVtRJv/7oHD0/YjlVbE9QdzganF2Xghp4Z8LhgXe/Ymf2DEXIT1HxHmqP1dOSddqdTMnCxKHRt2JH+cAxItF1StmEG0LORy78cogYVde2vYKwl/WPlHgB8XHZj4XLzNC6jBG6YXoVn/0wupVQw9OrVCwsXLox4TnYQvwkhDnNaiGghaZ56OJBSdgeQ8Kut5cuXo1u3bk6LEXUsOcSF7gd6tDD/gPPJASwdMLv8a0mvuvdf8FgD5GNf6QMW7gdqdXvd7CacUGlOwDSx6hQe0jS2rdXA1Qt82OT8UfUm9OuQjZevboPiLtl1CSbLPghJ9w/GCMxHxktjAHCFgSqrI/+6a1pX5QlhturbeRUAVtk1Mi7YXIMhz21DdYyPCuzfvz8mTpxo60IdjNhQhONuHw2E2t+tS9fJEsptPFwPhVDKDXW/d+9eTJ8+3fjvjz/+QEVF6uzh5OjSpQuKi4uN/7p27aol73bPLhgB52Q/nPcrlNInWL6dLCpPNxaV9u233+K8884LKV80cespTfHY31rUfeKFgIWIJMLclGSo9Up8MGkvHp6wHYs3JJh2PAh6Frjw0EAPWuVw/3QCHVE10vhCLEjdUEaZYCQ/1DsZrL4uzw5cNlI3xw30LnQjQ9g+DDPxp0oQ7fNCQNnhY/d2svtYGaowAbCnWqLtB+UoS9KAlTo89dRTuOmmm5wWIxJcIIR412khooWUmw6klL8DGO20HKFw3HHH4fvvv3dajKji2vYCz+mOBIwGgmlUw5lMKAkORtKFwP4aicWlgC/UZBOJciDUfSxgp9E3ySywo0riqgU+bEgg8p+b5cI/z22OG05qAo9yY6XEuy4hMGnqiDctq7Xcq7qhyvo7CHZKAEhdqhywy7Prx1/m3h/24aGf94XzqOoNIQRWr16Nxo0bR2T1V4gWudeRv2AI10JMZQxGKHXlg8mqK2dn4dY919raWsyfPx/Tpk0zlAKbN28O2m8yo7Cw0IgjUFJSgkGDBiE7O9u2vJNeIrotAeEoknh5IQSOPfZYTJ8+PW6ynzSkAT67owguN0nUeb4pxUAaEcEngU+n7cPYD7dhblhHBzmPBh6BB/p5MLK5nTtIMEbqn5NMBFflIZBPFzNqPuUeBby6KZ2RaS6K+qsLKBhq/RVMAeFP97iBPo3cyHLrxqjk4x2yMnTcYP/WaDW7NaNE8KMbBfD4/GrcPiu5PFGCwePxYNOmTWjatKnTooSL3QBaCyGS4x9/GEi5aUBK+TcAbzktRyh89dVXOOmkk5wWI6rId9cdCVhgs/0sZrD7oPJ8u2v1l3gS7KoBlpVCP+kEk4HeKznsJikESY8TdlYDVy/0YV0CGST/MqQBXriiNdo389QlqOdqItyKTJuJs+nkiXCO+qNE3WSRZ8qiYF4EtA91b/IIYG3bKQiI18LOMi86PLoFpdWxJUIff/wxjjnmGAAIm0CH8gZQ9ezKRLKv326Pdjh1wnHvDuXWTfPC9X4Ipx6Xd/369Zg2bZqhFFi4cKFjJDjW8Hg86N+/P0pKSgwvgZYtW4Z85uq9US7+dgim6NFZ9HWeCHZWfVo+2Pu0ePHiuO5r7dYqEzP+3QkFeYzoUQJC09TY0jECIoaUwIeT9+LO8VuxZltyELILO2Xgim4ZsI8HqbOw6BYxKotbv0EuNEoBmJNMFvP6GEZ06ypFounWg2DGDwm4XEDvRi7kWU5PsKtoc2/ZMqCK6L7hguQJvax0zSGAGh/Q6aMybChLnTnhrLPOwv/93/85LUYkeFYIcYPTQkQTKff1l1LmAtgEoMBpWYLB6/WiW7duWLVqldOiRBVP9xS4sUOCvlZ2mmCbcisq6qzjtm5mXKur2qP7wrhbVzBlAEKUibKyYE9NHflfHf9j6LVo3TgDz/69Nf5a0jAw/5qs5P4Lg4CrvxoiHoqwW9rlaawfmqf6AanHy/L3QrttgZeXMLY4SOCO7/fisd9LgzyxA8e9996Lu+66yz+M8KK4B3PL5mm0fKSENtL9+uEQfypHsDLB5A3mBcDlsAPdq67D/v37jRgCKp6AE8fIxQsdOnRAcXExSkpKUFJSgp49e8IVxU3swX7nUGU57N53WveOO+7AuHHjoiZ/MORnuzDjkY7o2TaLCWr8zzyncGVAqDkpDS0qqyWe/2Ynxn64HXvLE//4wKFNXPj3oEzkRmygsVMEBCHBKt+07uELJRtrjJEsAwosKgp1qadpodZmmq67NxIozBQ2779/PMH+XRj1yFgsygBpTeP1DYUIySeKlfdWe3H+byljeAYA/PDDDzj66KOdFiMS9BVCLHRaiGgiJT/5UsoXAFzttByh8OSTTxpBuFIFnXKBZYe4gmiaExz+j3GNBObuA4xpXTdfBQOfULjCwU4rrhQIkbQdaT6AvbXAtQt9WJEgnOK8QxrhpStbo2EuGzw9mo9O6FQZQIPwUeKvwOvT/GBKBjIBWyz5dJ0TbGuAWkBoAv5Z+zG3t3xnLbo9tVX3uKKGv/zlL5gwYYKFrCuES9qddNsOB6HctnkZmhdOeijLMq+vuw+G2tpaLFq0CNOmTcPUqVMxffp0rF+/vj6PIinQsGFDwzugpKQEQ4cORU5OjumZcS+SSH4vlU7vKcL1CtCVKS8vR7du3bB3794DfQxh4ZNb2uK0oQ385J5NLLo5CMI+vk1aIRAxduzz4sH/24aXvtuF2hjHbTlQdG/owtNDPWbSq/utI/r97RYzKk+XzuvSIjYCGSRao9QKok/gzai0jvkCLXIELOsvnSIh0vWWnUJBm0kVH+xZ+b8rQ76swOyd9Lzh5Eb79u2xatWqqCp5Y4xpQoikOqogHKTkJ15KORDAbKflCIXdu3ejTZs2KRcQ6rNBAqe0SO5Xa1U5YPHu081lwSYIO2UBvddFkLWbhHQy6MpzGVheaS1wzUIfliUA+XcJ4NGLWuKWU5qalf06sm2y7mvIvrSpSy3uYPe6ffymAIJhKArs+rEEIpTWulQhQdvy5w94fjvmbYld1N/WrVtjxYoVAKyESSGY9TwUiaWkqaamBlOnTsXvv/8Ol8uFRo0aoU+fPhg6dCiys7PDImbhIBwiGC6p042ZXweDbptBsPtIsHHjRkydOtXYOjB//nx4vYlviawP3G43+vXrh+LiYgwfPhwlJSVo06ZN0Drcy8LuvdZ5BNgpedQ1L0vx/vvv4/LLL6/fQCPE7Sc3waPnNjNbFS2kX5jTeZqU/u1vCCgRlNUyuafxuGLpxircMX4rPp8e29gtB4q2uQLPDM1Em1zNj6tbWwDW9+CAFEThWlKCLKz4FgTLGkkG/k2oPNJcqxyB9g0Em3Nh/jcSSiFA62p5rL+QrTKALSa160mB37d6cei3qcUR/vnPf+L+++93WoxIcJkQ4nWnhYg2UvbzLqX8A8Agp+UIhcsvvxyvvPKK02JEFYMLgJkjXEn7cpV7gfn761ExmJJbt8an5dV2ASAwmdjxAt38GYpD+OvUALhpkcQfe523VDTKc+ODW9vh2IH5gURKtAFyhB8CzwcwH9/H84y0MBQDNF/VkSyRKhp44EBLPdI2VzrwtiTLo936ZX/o1/2498f6vIzhY82aNWjZsqVflOAEP5K91ApSSnz11Ve48sorsXPnTkv/Ho8HgwYNwogRIzBy5EiMGDEChYWFYctv59IdLJ3LyMuHihHAy4Tj/h8NL4lgpLW0tBSzZs3C1KlTMXXqVMyYMQP79iU2GTkQtGvXDsOHDzeUAr1790ZGRmT+zeGS/2B1+G967LHHYvLkyRHJUR8UNfFg8RMdkZvtgrF1yG5Pv8s/AeiUaoZCgBArSmiUQoAqCdKwxa8Ly3DLG1swe2XikrYmWQJPD/Ggq+2Z95q/tBxY+YigFEyadIulg14TK7l6T22at20GQLYLGNDYpS9P72lQPlLfpByga7VQhiHjXgTmfK0ByfxgTvmpAl+sTx3FrhACa9euRbt27ZwWJVzsB9BKCJEAJrPoImU/5VLKqwC86LQcoTB//nz079/faTGijs8HC5zcPDlfr8WldS7yUYXdJKpTFkTSpmpDo1DWXT+5SuKjzc6T/55ts/D53e3RtXVmIFHJqSPT6ton6yZd6mopNeUsXgHSrNG3uOkLUsZfSLfP36Kg4HKQcrQebYfuVzTJwfuSmLO5BoNe2oFY4quvvsLRRx8d0jU9UgKryo8dOxZjx46NSKbevXsbCoFRo0ahbdu2EdWniCSWQDjW+WAKD7v6kV5TmXkZu9gBfJxerxeLFy82FALTpk3D6tWrw3oOyYj8/HzjpIGSkhIMGzYMDRs2NPJDWfDttnLYlVHp9Hrp0qUYNCg+docJN7TGGcMaWC2dKpitbv903SD06fSet6mulRLArm4aAOo+6+/+tgd3v70VG3Ym5rnteRnAY4MzMajQhgxz40K45D/UeiQs6KwmOqZOO0VwxQAp27uRCw343n+7cetE0zdrVhLwuAS0TKih+O+X7fOhxycVoYeURDj++OPxzTffOC1GJPivEOJKp4WIBVL28y2lbIS6YIA5DosSEoceeih+//13p8WIKgY0BGaPTD4vgD01wBIn9Xy6yYdOpvSB8u0DQbXOwLfbJB5c7vxUctLQBnjnpnbm/f4hiTXJp0TZRwuh7j7UlgBVV0foKYkHK8tl05W1eB0wZYYljcgNaZG5xgs0eGgLqmJ49u+zzz6LK6+0zm927u7hBMxTeb/99ltUAv0UFRVh5MiRxn89e/Y09aOTPZx9/nby0zJ2vD3NVQABAABJREFU3gCRuPIH204QT2zevNmIIzB16lTMmTMHtbXR1nYmBlwuF/r06WN4CYwYMQJFRUVhKYPC3YbCf8877rgDzz333IELHwKH9czFz3e1g1Dffxdg+vCrS50ygFo4TQnCTGAAfT3dI0mfJqBFeZUP97+3DU9/scM0pSUKPC7gn/09OLyFW8+5FYLlqXwFHZHWKQR09YJ6BYQrWDBNRd11vgfo08j/jyeU0sDOQ8BOuRFqbIbyH2ZlAPUs8Jf5+9QqvLostb7PH3/8Mf761786LUYkGCKE+MNpIWKBlP5qSynfAvA3p+UIhQkTJuCss85yWoyo45NBAqclUSwACWDB/rotAI5CN3ECkU1E7Hp5GTBmoQ/VDseRue+s5vjHuc2t60U7wi9JInfzlzAHAJSsLan+x6z5QUl6iDxpl0fqqnudd0Cwa51ngA8ofmUHZmyMnRXp3nvvxQMPPBAQVUPugwVRs0sDgP79+2Px4sVRl7lJkyYYPnw4Ro0ahVGjRmHgwIHweDzasuF4AAQj+fWJjaBrIxThtyuj6vP8YLLx+ro+hBCoqKjArFmzMGXKFMNLYPfu3UHlTGa0atUKI0aMQElJCYYPH47+/fvD4/EE/W0p7OJHKM+Mjh07YuvW2AbudAlg7tj26NvOH/WfWusV6P59i4Xfn6Dc+o0yLF3NIbx9I92m3eSZ8uOGGcsrcNlzG7FwXeJFchcAbuvtwWltXWaFD1UcUS859c7YrUV06cHKBGsjIoVAsA4YGxcCXfKBptm6FxnmdtT2GsH+AQiQ5wLzvw8ujrr3kXS6xYAbcnzAqjKJbp+UI8HjSkaEZs2aYcOGDcjMzAxdODEwRwiR8FvJ64uU/lRLKUcDSHjTek1NDTp27IiNGzc6LUpU0a8BMGekK2mMA9uq64L/JTR0k6NuwiGTzb4a4JL5PmyqiqukJuRmufDWDW1xxoiG1kwLcafk2H+hUwooV32T6z5pj9bVkX71wCwB+og8AnXbDVwaJYJW4UD6pZO9rdWfpFny6/5e8/U+vDgzdi/mmDFj8NJLLwV1jVb3waz+FEIIrF+/Hh07doyBxFbk5OSguLjYUAgUFxcjPz8/dEU/QpH7UOMOFiQxHIVAfQIMqv5cLhd8Pp9JDl4mWB6VyefzYdmyZZgyZYrxnwoSmYrIzc3FkCFDMHz4cBx11FEYNWqUEZnaTuFl5wEzc+ZMjB49OuYyX3NkIzx/UXM/cRCB7wUn4IqwqXQeW4ZOzJysqPrUQknL6vqzS0sDAFBdK/Hvj7dj7IfbUZOArG5Mlwxc2tlt/k5w7xHd1hLAnrxHqiRQ94D1fQRJB8uzKxukkyy3RP9CN1yCrCMEKW+M1T8368ZteR5MccDllURQvn5jwaAvnVyFN1aklvX/1ltvxeOPP+60GJHgaiHES04LESuk9GdaSikALAHQzWlZQmHs2LG47777nBYj6vhooMDpLRP/NfPKumP/ahJvXq4/BODzAbcskZi2x7mBdWieic/vLkK/DtnmDE6gAULm2T3PV/Xs8rgSwc7NX1deta2UKGBtUcIvYKNcYHXV1gRTrAEmlyUeQF25F2aW49pvYhfM7eSTT8Ynn3wCALYkmN4H2x9N8fHHHzvm2eR2uzFgwACMHj3a2DbQrFkzW0+GcIIbhrLmhxM7IVSsgHCgykfi2WB3HypNSokdO3Zg6tSphkLgjz/+QHU1PyIlNdCzZ0/cc889OOuss2w9XOy2hjzxxBO45557Yiqf2wWsf6ojWhVqvF2UtZ6TMEViKOMwlALC/F3i2nqVrq5VmxIBhQL1NlCg3fFtBAc5Fq2rwmXPb8D0ZYkXJPC0dm7c2jMDLr51hL4DdkqA+iKYIcPuL9i1DiGVAkBRnkDrXGXBJx3w7zH3hNB1Yqss8ZfRKQBsFCIr9vvQ49OKlLL+CyGwdOlSdO3a1WlRwkU5gNZCiL1OCxIrpPznWEp5G4DHnJYjFLZu3YqioqKUW1j1aQDMSwIvgPWVwMbE8847YLyyXuL1Dc7NIoM65+D7BzqgaUO3OYMTfItFnuRZrhHQ1mv3/LOygN67gLZlKsPkpDIqd0ATcaflCbnnygGdkoHLbbQXyPv4z0qcMWEPYoWSkhJMmTIlJDm0c39W4ETzm2++wUknnRQzuSNF9+7dMWrUKIwcORKjR482vBPsXP1DudUHewZ2Vn6VR9OCkf9wSH6osqE8OXhaKJmrq6sxe/ZsTJ482dg6sH379rBkTBY89NBDuP322437UFsCAOCvf/0rvvzyy5jKdeqgfHx6fStCWMAs8OovI27c2s8rqkvdRC3oX00dwQv7P34uBL6XShGhvqEJvh6INbw+iee+3oV73tmK8qrEOt/9+NZu3NvXE3gV6OkSdooAnbJAlaPgZDfSPK7cAkvXtRHkXXOLuhMBPAKB99sYI6tseAgI8zXN50EyqUKBv/9KyS9onbr1w0VTqjF+ZWpZ/08++WR8/vnnTosRCd4UQlzitBCxRMp/hqWULQBsABDZ+UAO4MILL8Q777zjtBhRx/8NEDirVeK+atU+YO5+JGSQngPBxN0Sty9xblD9O2Tj57Ed0TifkH8TuWYE37QOIkQasBJ4IDT5V+kmTwHaLuuD1/Ux+QzybyM/hF5OOgautDCNDdq0yeuqMerNXYgVOnToYIkOH661P9ie+UQ/4aR169aGh8Do0aPRp08fuN2Bd9XO5TucoIK6Nug9bZcimALBrh2eb3dKQDgIV4lAy/p8PqxcudJQCEyZMiUmcR/ijXfeeQfnnHNO0DL0d2rdunXMFSHf3NQax/fNs5J+RX64lZ6Wo3u3LUoDZqnk5MqyvQD8wt8H71zTJiWKiW4ZiDFWba3G5S9swk/zS50WxYQzity4uWdG3b93Sl7tYKcQCMdbwI60R7J0CaYA4PkK/nItcgQ65oeS0Z+vTiGibWmv/R1SRV2YWLbPh56fV6TcevS3337DIYcc4rQYkWCkEGKK00LEEgfF11dK+TGAhA87OX36dJSUlDgtRtTRKx+YP8oFd4K+bSvLge2p5XiB9ZV1+/7LHApo2LsoC7+M7YhmDZneTVnCJbtX1+qCegEY5TRlqcWdl6f3yqrOTw2wUwDQdi1KBdZnsLrhyqiVtw4rdtai6wuxOwowLy8PpaXRX4DW1taiV69eWL58edTbjgUKCgqMYwdHjRqFoUOHIjs720LGQwUCjDYi3SKgQ7hB7nh+OMEFuVeIEAK7du3C1KlTDaXAjBkzUFmZXC5W3bp1w4IFC5CRUfcNs9seIoTA8uXL0aNHj5jKU9Q4A6se7QA3db0HrKs4ncu9jgDpLPHcZZmXN5Xl6dKcwZUBWhlCjOUggJTA6z/txg2vbkZZZeJ4A1zeJQOXdHIHt7Trfi+d0kBCr+yxUxREqgAw9c9k1OWRayGAfo1cyHGzukpZ72LtqbEohb4Ee9fVtRofE0DAHLzY9CwFLphUhXdXpZb1f/DgwZg5c2a9FdMOYBGAvkKIFFPDmJE0v8aBQEp5PICEP3hSSolhw4Zh1qxZTosSdbw/QOCcBPQCKPPWRf5PJVR46yL+OxXQsEfbLPw6tiNaNAqD/CtSriZFBTVBGhb3EEoDem/nWq8j5YKV15FyatVXdbyom/R9/gQp9coKNQZan/drjJn2G1AE7K+SaPj4NsQSsSKv77zzDi688MKYtB1rZGVlYdiwYRg1ahRGjx6NESNGoKCgwDF5wgnmFyw93P3/ur7CCVhoFx1fSonq6mrMnTsXU6ZMweTJkzF58mRs2bIlsgfgAH7++WccdthhAII/v/Hjx+Piiy+OqSwPntIY951YqCfuOnJl2t+P4MTbqAMTGTGXJXWoWzhvU5XhJFGnTAhGJA8y74DFG6pw+r/XYfEGB6P1MtzRKwOntvN7RdmRaa7/oYEpjbIapYDtvnqYy/KtBXZl7RDKOwBAo0ygR4HLXrnBx8n/LZnWNDD/O6LH/fHtAMZ46q4X7/WhzxeVKWf9f++993Duuec6LUYkuFEI8R+nhYg1DoovrJTSDWANgLYOixIS48ePx0UXXeS0GFFHjzxg4ejE8wL4sxTYl0LKVgng/mUSP+50Zgbp2joTvz3UCa0KCfnXEnboLd9UbMtxftC7/fOyOqJtEG5h7he0PMm39M/lJXLpti7wQIEqzSSTvy/dKQKkL68EMh6K3dFiyo07FvB6vbj66qvx8ssvx6T9eEIIgX79+mH06NHGf61atXJarKSElBJr1qwxlAGTJ0/GwoULY6aIqi9effVVXHrppca9nVfElVdeif/+978xk8MlgLWPtkfbQo//eyL1ioCAoMQ6ya3whDDZKQI4wTHtU0agbbsJ3UL6RYAEqXYU8dF5LFCZEmzNEEuUVvpw5Uub8O5ve5wWBUDdq/NQPw8Oa+EKJNpZ1oHA+0aV5TrSD5gV5FRZRe+N9kMoDnSKArt6NmPoWSBQ4BHmsdiNlefRNDuFg045ALN85/5eiQ/WOH0OdXTRtm1brFq1yvaY3gREFeqC/8Vu32WC4KD5tEop/wngfqflCIXKykq0a9cOO3bEzuXXKbzTX+D81onzyu2uAZaWOS1FdPH+Zoln1ziziO7UIhO/PdwRbZuQDz0n/4o0c405J/VeSSZQRrK5p4Du2q5vE9nXyCBt6lEZ6fYEpeE3lQ+iOKByWvphCgr/+GtrJTz/jp0HgMvlgtcbu0WHlBL/+Mc/8Pjjj6OiIvEiXx8IOnXqZFIIdO3aNZncHBMKe/bswfTp0w2FwPTp01FW5uwH+pFHHsGdd94Zsly/fv2wYMGCmMkxrGMWpt/pt1/oLPIcinjZKghAlAOaesHKc4svlYdbbY321DeNtU2PJuR906KGy3WQMaUIpARe/mEXrn9lM6prnVeIeVzA04M9GFzoMmfoiHIowkw94vjvKDVpwWIP2MUY4GlcIWCDXDfQt9Blfb0i8TBQ1/RZuFiaqgMRME4AWLTXh75fVNo5KSQtHn/8cdx6661OixEJ3hNCnO+0EPFAin9KA5BSdgCwCkkw5nvuuQcPP/yw02JEHd3ygEWjXchIgF9AApi/v85dPlUwe5/EdX9KR9zH2jfz4LeHO6F9M42W15bw+i8oyQ5anhFrXTnaBp+I/YqEsiqJ//y8B0u31mBXmQ87y7zYVe7DrjIfan0S2RkCWRkC2R5hXDfOdaFTkwx0bpKBTo0z0LmJG52aZCDXLawy0j65bBaZqUeCRlEggRofkBlDBYDb7UZtbezdYHbu3InXX38d33zzDaZPn55yygAAaN68ubFlYPTo0ejfv7+xhzyNyFBbW4v58+ebvAQ2bNgQVxm++eYbHH/88UHL7N27F4WFhTH1XrjxyAI8fWYTPennVnNKSGi6lOw0AEKgKDHhxF7XnyI2fDklEFxGQzZaT5oDFNJxmOoyUpfiWwT+WFmBMx9bj9VbnQ9QlJsBvDQ0E93ybd4vDrs8pUTiixSuPOJKcwXqGcBjDOjaAazlg5D5zvkCzXKEWXmvU2rZKTsA678h3bPSpJ31exUmrE2hBSmA/Px8rF+/Ho0aNXJalEhwuBDiV6eFiAdS+wvKIKX8HMDJTssRCuvXr0eHDh1i5pbrJMb3E7iwjfOv3ZYqYE0K8Y/dNcAF83zYVRP/vts28eC3hzuiU4vMQKKdJRwI7InjZUwR9InVSGdJt8QSIGk0OI9N3b3lPjz6v7145ue9qKip/8K9faEboztk4dBOWTi0Yxa6NnFb+xSA6UDfYONRHgUkrbpWIuux2EUX93g8cT9+VB0lN3HiREycOBGTJk3C7t274ypDPJCfn4/hw4cbCoFhw4YhNzfXabGSFuvWrTPFEZg3b17M5km3243t27ejsLAwaLmJEyfGPLr1h39vgTMH55kTKdkHAtb0ukwzGVdQBIwUs7RJtwtw6y3rwlyPpHPrsE7ZYLRhp1xg7euWDTrFRgphd6kXFz+7AV/McD5QUWGmwMvDPGibS5Q1wYi+9vcieZxE060DtDw0ZWm+ztpvsrYzxYIuzd9GpgsYUOiCC0EUBeF4HejGHOR+wR4f+n2ZXEFSw8GNN96Ip59+2mkxIsECAP1TPfifQmp+NW0gpRwFYKLTcoSD008/HZ988onTYkQdXXKBxYc46wXglcCcfUACeNdFDXcvk/jFgX3/rQoz8PvDndClVaY1kx+ZB1gD/tF8u2MAeTA9wGpJN8g+LUPaoWWNa2Dj7lo88M1uvDm9FN4o8IhWDdw4tGMmjuychb/2zkbjbJemXzIeJbOSkZF/AKislch5PHYKgMzMTFRVORt4yufzYfHixSaFwLp16xyVKRbweDwYPHgwRo8ebZw20LhxY6fFSlrs378fM2bMMBQCU6dOxf790SFLd955Jx555JGQ5V5//XVcdtllUenTDusfLkJbFVfFBWtgMQVucRSUbYgAseau1er8chctTiyetH1a30LobVwIglnzeT6NN2AQPGkdl04WLm8KQErgic924K63t8LrcHS4NjkC/x3mQZNM/29iIcLQP3+lpLETX0eSoUnjygP+HisFl12aLp+hba4IKDl0yoVg2wF0igBq7LCJSXDG71X4eF1qWf9dLhdWrFiBjh07Oi1KJLhICDHeaSHihRT7VAaHlFIAmAIg4c/a+/XXX3H44Yc7LUZM8EY/gYsd9AJYVwFsSpxAuweM33dJ3LE0/guDFo0y8NtDHdG9TZY5w47wqn39oYLrgSkDaFA+qgiQYNZ+/6rAZ2gDCLEOohgAsGhTDe76Yhe+XBQ9t5BMt8AJ3bJwQf8cnNgtC1kZwjxmJYdpGwAsipPSGokGT8YuJkh2dnZCuuOvW7fOUAZMnDgRixYtclqkmKB3796GQmD06NEoKipyWqSkhdfrxaJFi0zbBtasWRNxO3369MGMGTOQk5MTsuzYsWNx33331UPa8FDUOANrx7aruwllZaRu+SYyD/MF9w6gxEi7TcBfyc6qG8w7gMut+rarY4yDlJGwykzbDtVfCmDin2U449H12LbX2ajFXRsIvDgkE/kZGkJsR9jpPQf9bSWrw8vQtnXtgJVR6wW794bm+d91lwAGNnbDo075CeVJAFgVUHQNpNt6QJ7F3N0+DPw69az/Z5xxBiZMmOC0GJFgE4COQgjn99zECSnyaQwfUsq/AvjYaTlCQUqJvn37puSit1MusOQQFzwOvH1VPmDefusWtGRFmRc4d64P2+P8ycryCEz+dycM7kwWyD42OXJCqwu8Z0Tot8m3RN4nygCeZqoH84+sc7dXiwrS1q8rKnHlh7uwdFt091I0ynbhzN7ZuLh/Dka08wSUFXZBClWiBFbv8aLTuNgFpM3NzXU82Fo42LlzJyZPnmwoBGbNmhWX2AXxRlFRkUkh0LNnT7hc3Cc6jXCxadMm07aBOXPmBH1vzjnnHLz88sto0KBBWO3feuutePLJJ6MlrgVnD8rDB5c2t7fE8zQjXUPQDEUBIS6WQIA2eQaho9Z3wEzyNPIoQi81+RaZYSJHpnwaJ8BUl3Ski4FgFxchCbFySzWOeWANVjkcF6C4iQtPDcyAi5/kQOcu0x58pqTR/b6StaP7zYL9hrS8nSKC9msXkFACzbMFOjVk31y+ZYB68tFTDHTjsZMVwGm/VeGz9all/QeAqVOnoqQk4W2tFHcKIR51Woh4Isk/h5HDfyTgEgBdnJYlFMaNG4errrrKaTFigtf6ClzaNv6v35qKuv3/qYInV0t8tCX+2ow3rm+Di48oDCRwIg4E9r1zgq8j4mBppnzJyujqSrP7PC3LtT3qniosiEKiyivxr+/34rFf9qPGG/1nO7JdJu4ZlYvjO2eRhQnphylDpm2swfC390RdDoV27dolpbt9eXk5pk+fbigEpkyZkhSKjEjRuHFjY7vA6NGjMWjQIGRmarbcpBEWysvLMXPmTEyePBmzZ8/Gnj17UFlZiREjRuCUU07BiBEjIjrJ4bLLLsPrr78eM3kfPaUQtx9VEPhW6fa7U0LPCa/O+m9bn6apapq2jXQbkhNsT76RR9gcl9fuJALaRlCrsNDncTf0JFwBb91Ti+MfXIM5q5y1Gl/WyY0xnd0khStwdHOngJmgM+WAHfGnXfhs8pgYWtKvS9OJKoB+jVzIdcP8vuu8CWh6sDIKRDEwe5cPg79JPev/8OHDMWXKFKfFiASlANoJIfY4LUg8kYSfvwOHlPJKAC85LUcolJaWom3btti7d6/TokQdHXKAZYfG1wugVgKz96WO9X/hfuDyhT7bbXWxwpXHNcZLV7a2ZtDI+9wF30TaNXncWm/KJ+1yoqwK0jzNPnpDPtWusvxLcm8KSAgs2FyNMRN2Yca62FhbBrX04O6Rufhr96y6D7F6buyZfba8Gqd9ui8mMgDA0KFDMWPGjJi1Hy/U1tZi7ty5hkJg4sSJ2L49drETnEJOTg6Ki4uNwILDhw9Hfn6+02IdtIh1vJ7Xz2uKS4aT31dnhaREn7soW6zzjHSZFATMCsuMoKVVPizaXIMF66uwYGM1lm2pxt0nNcborjmBJnTR0rksEmZFgPTn0zPSubXWQqo0ndg5ylDiz59HEq6C95X7cNq/1+Ln+c4pPAWA5wZ7MLgxffnsViPkBzViPMjAtd1voPMAoE3qyvOjJXmdMO8LMgV6NtS8dzoZ1PusC0JolGX/LgGc/EsVvtyYetb/jz76CKeffrrTYkSCZ4QQNzktRLyRhJ++A4eUMgfAWgDNnJYlFG6++eZki6IZNl7uI/D3dvF7BTdWAutTRNlaK4GL5vuwqjy+/ZZ0z8WvYzsiS2luOJlWaQYpV2lmK7sBHg/ApAhg7XDLvm57APc2ME4c0Mij+qNeALQ8AJ8PeHbiftz7/V6UVcdG1dKzaQbuHZGLc3tnQ/Dn5pMYN7cSV/2vNCZ9A8BJJ52EL774ImbtOwUpJZYtW2ZSCKxatcppsaIOt9uNAQMGGAqBUaNGoXnz5k6LddDgiCOOwC+//BKz9j8d0xyn9vOfHKELvGdn1aZk3GK9R4B0g6epNgTKayR+XVKB7xaW4Yc/K7B0S0AZ2iDbhc+vb43De2riJOgs9JY+iAIDsD/FwK68MUawvoiV2cXNvuzZma41ZC+BUVUjccHT6/HRlNgph0OhaZbA+JIMFHr4c2VKKgvUb0QVTtJa3+IxAIT0GuBbDnTvYTClAxGxRwOBRlns3xfJN94xO6sS/TfIPANm7PSh+LsUckf1o2PHjli+fDncbnfowokBL4AuQog1TgsSbyTR5y66kFLeD+CfTssRChs3bkSnTp3ifkxXPFCUAyw/xIXMOGxvlQBm7wUO4MS3hML4jRIvrYvvYJoXZGD2U53RpomnLoGTaSAQ2E5Z4WmQPpA0SugN8k6ION0jryX/rH4whYOuL7t2LG3VXa/d5cUF/7cLk9bEbsIe1daDF49rgL5N3IHn4ZP4x+Ry/HNK7DQ9Y8aMwSuvvBKz9hMJmzZtMikE5s+fj1ie3+4UunXrZlIIdOrUKSK39jTCx8CBAzF37tyYtf/rtS1waJdsc6L6KV2MIFG3fAsxJmVMlkt/g/7yK7bX4Kv55fh2YTl+W1aBKs1xOc0auPHdja0xqEOWvl0ua7CgfDRPnXDATyOIhLQLMh4OQ1lCiKfp+UHvLZCg8Pokrn9lM178NnYxYkIhEA+A53Dliy4fMD/sYOX9ZYxsVkYXkE+B/+YqLZgIABp4gN6NXNby/B2ldfnwaF211BDAIT9UYdL21Dvq+z//+Q+uv/56p8WIBB8IIc51WggnkOCft9hBStkUwDoAocP8Ooxrr70WL7zwgtNixAQv9ha4qij2r+H2amBlnK3lscL6SuD8eT7UxHHucLsEfvpXBxza238WtcWS7k+kpJuTf0X8BcmnMLwBOCG36UeQMlRRYByxR+oYEzdVGsDqcRAkKF+NV+LWr/fi2Smxs8ZnuIDrBuXgn6Ny0cDvZXHl96X47/zYua7ce++9+Ne//hWz9hMZe/fuxZQpUwyFwIwZM1JS2dqqVSuTQqBv377JZKFJaHTs2LFeJw2Ei3m3tUK/NplWUmr8JdZWahHncQFoHQohUOWV+GR2Gf47aR9+Wxb8W9O+SQZ+uKkNurXIMFv6g5J8kqjNI2OxpLEEOn41Tl3sA96mqS5ja3bPJwm2CUgJjJ2wDfe/t80xGa7u4saFHaP1PeGsnOcRC7+U5nTuZm+sE2TgnrN9HniQXfcpdCGfDk0pzbjSIJwh+etPWOfFWZNSb54pKCjA+vXrww6gmiAYKoSY5bQQTiCBP2uxh5TyeQDXOC1HKGzYsAGdO3dOyYVps0xg2SEuNPLEtp/5+4HyFNhqJQFc/6fErL3xtVo+dWkr3HRyE3OiCpBHSbcSUreP30cSKMGmdYEQxwT6Z2Z+1J+W0BNLvgjSrt298mRgY3l3bjku/3QPymPoTtI634UnD8vFOd2zcMSH+/DL+uieSkDx/PPP45prEv4zGBdUVlZi1qxZhkJg8uTJ2LfPORfbWKGgoAAjRowwFAJDhw5FdnZ26IppWNCoUaOYxulZe19rFBVmkNUaI6UmUgsr4beziAtg2bYavDxpP96cWoqdZaEnyF6tMvHDTa3QplFGXQJ39bcj3kx0rUs/NwDzEwiMfA3LF7A+B0seeT4u3qcNGaRdJfhpAi//sAtXvbTJkRhHLgGMG+JB30YiAZ4PZeTC+l6pPLv4A2wLQZNMga4Nbd7lcJQALK/SC/T8qhJryhz4oWKM22+/HY8+mlSB9H8TQhzmtBBOIQE/Y/GDlLITgOWwDx2TMLjmmmvw4osvOi1GTHBTB4GnesbuVdxTAyxJkeDg32yX+NeK+E4c54wuwHs3twusq0IRaVrGUl4GtgeourStYOTfri3BylMvAZ0ygsssWXlB29GMR0rM31yDv763Cyt3xVardGwHD2Zt8WJnZezcPSZMmIAzzjgjZu0nM7xeLxYuXGgoBCZOnIjNmzc7LVbUkZmZiWHDhhkKgREjRqBRo0ZOi5Xw8Pl8yMjIiOk2kn0Pt0WDbM0SRXf0mI4Ea6zaczdU4Z4v9+CbReG7xQ1ol4WfbmqFxnluc7vKIko75MH8qIcAJ9FqD7WdF4GO0HPLPx9n2B4AwlqP7z8PJk+CraD/b9JenPvkev22+xijRbbA+GIPGqoDSsJRBPB3JFiZsGBh+5o8mJVPtrEGAp0PbOxClttGFp5mJ68/7dFFtbhzbuwU+k4hIyMDq1evRtu2bZ0WJRKcJIT4ymkhnEKCfb7iDynlhwDOdFqOUFi/fj06d+6MmpoU/HAIYP4oF3rGKJD14lJgbwocF76nBjh7rg/74jiWPkXZmPZYJ+Rlu/RkOljQPpofzK2fltVZ6wXJs6urix1g17bkcgmrl4FWWWAew54KLy74aA++XpbcgXx+//13jB492mkxkgJSSqxevdpQBkyaNAlLly51WqyoQwiBfv36GQqB0aNHo3VrzckfBzl8Pl/Mt1LUPFaEDBesZJSTYE6kOGEVwIptNbj/mz14/4/INOLdW3jw+62t0TzfrSHCikjBrAigLteGxZ18m/mmcapQ4NsZaJ+67Q6GhZ+QOa4E0AVQNIlAniFXaPB2dc8+QfDSd7tw9bhNjvR9SHMX/t0vw+KsAsA8p5p+6zAatisXjgIhGCwnEkiWXoeWOUCHXBHweFEBh3lMAdOFVbCtVRJdv6zE/tRbxuO8887Du+++67QYkWAJgN5CiNQLxBAmEuiz5QyklEMBJMUZWFdddRXGjRvntBgxwTFNBb4bKqL+QpZ769z/UwH/XCHx3fb4qfYLct2Y+URndG2daSbAACPRCEyI3LpPj+SjdXVB+myt9f6/PlKBKxlU3/wYHpOMmnwv6YieCMA9EQDtM5Beiau/3otxM5M3wMTmzZvRsmVLp8VIWmzbtg2TJk0yggvOmTMHXm8K7Ddi6NSpk0kh0K1bt3RgQQAulyumHgCbH2iNlg3cViIMWFdwlJwSbNrrxb9+2ItXp5aiNkIf8faNMzDp1lZoW8j26ekIuB2BDqW84O0CVgUDzwunLlWG8PPabb0HiLxqbFw5QYMV2ikXHMQ/P9iGf3zgTEyAm7u7cWY74iXiY7+T1tKO4EqBsIi+P0OtRSIB9QTQ+PW7BDCosQsZhrcKV7yxMeq8CwBcPqMGr6xIAWuUBnPmzMGAAQOcFiMS/F0I8arTQjiJBPlcOQsp5W8ADnFajlBYt24dunTpkpJeAADw2SCBU1pE95VcUQ7sSIHQCdP3SNy4OH7kHwC+vLc9ThziD+aiC5bHCby6BsmnWnHdyQBK+04VCtDkGWReBNoOFWSQywieRmTUKTBMctI+yeTvk5A+iau+3of/zko+JUCTJk2wffv2NJGLIkpLSzFt2jTDS2DatGmoqKhwWqyoo3nz5hg1apShEBgwYAAyMjKcFivuaN68ObZv3x6z9ufe1BL9W/vJt84iztOJNdwHged/34e7vt6D8nocY9qigRsTb26Frs1J/7RfmmZK15BzQH88ICf1RvBCks/71RFzdSICrWuniLBTQug+g7pjB3XtmeTTkN44Qkrg2pc3OXI6gMcFvDLUg+4NOEkmhXRkn5P8UOVDQVvWTvsQIl8IFOUJtM7WyEyVAhYZpNHs/D0SA7+rciRGQ6xx2mmn4ZNPPnFajEiwDUB7IUSKHAxeP6RXfQCklCcC+NJpOcLBFVdcgZdfftlpMWKCTrnAotEu6LY71gfVPmDOvuCf+2RApQ84f64Pm+LoaX7XGc3w8AUtrOSeB9ajJJ0Sa4snACHOlNwb7ZJ+AHPAQMBsqbeQexuirytrK4cInBygC0poKAmEtT+fhBTAlV/uw8uzk0sJcOihh+LXX391WoyURnV1NebMmWPaNrBrl3PHdsUK+fn5GD58uKEQKC4uRm5urtNixRx9+/bFwoULY9b+92Oa4piu2Wbiqf7wFRwhsqt21uKSD3bi95X1mzgKc1347cZW6Nvaw6ybrG87K7zKsygtWGFOynVj4koCwerSvu1iDXDizskm7UOnoOAslEeCp+2SYgas5+TFFF6fxLlPbsCEyXvj2i8AdMgTeGtYBjIzhHlO5goSpfDxaRQ/gPlZqrJ2SgCd4gCw/r71hEfUeQEI01YB//+MsbF1irp0CRz9UxV+2pqa3ubz5s1Dv379nBYjEtwvhDg4jz4iSCsAAEgpXQAWAujptCyhsGbNGnTt2hW1tanpRvRwN4G7OkfntVxXgbiS5ljhpXUS4zfGT43RvU0W5j3TBVkZZLKmZFkF3tMF7FP3lHDzPPA8cm/k+y+oW7+A2YvAKCat/fF2dXl0PBR2AQztjhU0hihx5df78PLs5LH2Xn311Sl7xGiiwufzYcmSJabAguvWrXNarKjD4/Fg8ODBhkJg5MiRaNKkSeiKSYajjjoKP/30U8zaH392Y1w4MJcRTo112U9GfBL477RS3PblbpTVw+oPAHmZAj9d1xLF7bPMXgU6azm3plP5ghFp6j6v0rVKAgSIn8qzkHJNHif1NF8CtooLXWwCTiDt3P2pB4RLBLYJmPJg9nSIIapqJP7yr7X4aX7sjq61w+Wd3bhEHQ2o2yLD40HQeVfnTq8DJ/xUScDLBFMa8GsbdM4XaJYlrP3SvtSFKiMlvtjkwym/p4ArqgZnnHEGJkyY4LQYkaACQJEQYofTgjiNtALADynlpQBec1qOcHD55ZfjlVdecVqMmCDPDSw9xIU2B3gilVcCs/eZDcfJiK1VwJlzfIjhiXMW/PZQRxzSK09jWWdWdzXDcbd5HbG2BNYDTEoB3RYD2q9dRH7LdgLU/egagm71VmD9m44yZPV0WxyMvECalMAVX+/DK3OSQwnw4osv4qqrrnJajIMe69atM2IITJw4EYsWLXJapJigd+/ehkJg9OjRKCoqclqkA8b555+P9957L2btP35CAW49hJyrzQkLsT5v2OPFxR/uwk/LD8yz9dMxzXBq31xo3bctAfJgXUlSSzyXW5AbJT8lykY/xCIcKfm2i/yvVWBoGlNyqTkhnBMXtAoRNQAyHh6BPsaxA/ZX+HD4vavxx8r4zklZLuD/hmegRY7LqhgyBdvT5AVTAPBnp6CMEvR56uIPUHAFAC9DljkAkJsh0K8Rf6+pEstcHgCqJdDnmyos35/ki1ENhBCYP38++vTp47QokeBFIUT63GOkFQAGpJRZAFYDaOW0LKGQ6l4A57cWeKf/gb2am6uAtcnBwYLi0VUSn22N38Tx92MK8fJVbepu2NF3JrKr0qhLPWC10Ktrog23JdZ0scSDB6o6dl4HdlH+TW3TcQRROOjyjfH6E+gY2PikBC7+ch/GL0j87WXpEwASE7t27cLkyZONLQOzZs1KydgvRUVFJoVAz5494XIl/Km8Jtx88814+umnY9b+LaPz8cTxBXrCSiza09dV49TxO7Fl/4EFoLzjyIb490mF5kRFhnWWa271tKQTmSk5ctGClJhTcift26Xu4CZlCBNOVzdo8EDCCnl7wU4ucJGEUM/Brm2u7IgStu2txai7VmH5pvhaoY9s4cLYPppTMjihD5XO64ZSCtD3jCsYAKsSzVDywPw+aX6Png1dKGDxME1t0T4k8MzSWtw0JzXX6ueccw7ef/99p8WIBBJANyHECqcFSQSkFQAEUso7ATzitBzhYMyYMXjttaRwWKgXJpW4MLIwdDkdJIC5+4CqJN9utcVv/a+NE/9v0SgDi5/visJc/8pMZynX7bfnUfh1VnKwPG2UfaJkUPs8teSd38vg1nvjrwxDQRFEbkuMAvuyFTUSxW/uxoLtiT3x79y5E40bN3ZajDRCoLy8HDNmzDAUAlOmTEFpafzdemONxo0bY+TIkYZCYNCgQcjMzAxd0UE8+uijuPPOO2PW/gUDcvH2mYV6KzsACIH35pbj0o92o+oAJ4vDumTjf1c2rzt2EAhC9mG1fFPYudHbtWeQLY2SQdAC/muuI9JZ901KAY2VPVxlQDDSTvPUyQBEKaO17lMFhvJ8IEOLVfDANduqUXzbKmyL85nILwzKwKDCAxwIt7LTNJ7HiXww2G0v0NX1FyvIEOhZwOpIazkA2Fkl0eXrauyp51acRIYQAosWLULPngm/c5riEyHE6U4LkShIKwAIpJSNAKwHEKMT6aOHVatWoVu3bil53BQADGoIzBjhgrseb+jOGmB5ZMccJyTibf3/v9va4azhDa2kHDAH5dMd9Uct75woa63/TKlgXJN87bX/f7wsrW8XH4AqM3RbCsINJqgsBlQG2pa/7NKdXgx5azdKE3Tyb926NTZu3Oi0GGnUA7W1tZg3b56hEJg4cSK2bXPm2K9YIicnB8XFxYZCYPjw4cjPT6zp+c0338Qll1wSs/b7t/Rg7rXN6m7YEXU+APf/uA8P/XLgZ922aujGnJtbokVDYrE1yDdgIusUfH++qV4QggVYCbsuar+JyNPCwpyuyuksuXwsJo8DaOQXmvpkPEpWrtSge9Bduvq6/oI832DHFdYDP84rxTH/WGNrXI8FOufXBQQ03iq7MUiWx++DwS5GgE5BAJjfWZ0SIJgcEuhX6EIud2zg75AErptdg+eXp+Ya/fzzz8c777zjtBiRYqQQYorTQiQK0goABinlUwBuclqOcHDppZfijTfecFqMmOGVPgJj2kX+ii7YD5Ql+Td3s9/6H68YBn8Z3ABf3l1k2kZpIdt8H3+woH1cA68LrEeVCrwcJ9pGGQ35tygXSJ7pnqSFc6whH6vRptArKJQXBFE6vLOwEhd+deCL81jgmGOOwffff++0GGlEAVJKLF++3KQQWLlypdNiRR1utxsDBgwwFAKjRo1C8+bNHZXp22+/xQknnBCz9oUAdt7dEoXZrgDhFQJlVRJ/+2g3Pll04HvdMlzAr1c3x8gOWapXRroJuBXf2KuvIdWc1CrybCK5CNRTBFpHkjm5poXCOcZPm0fGyuW0GxOVTz0javlX9fkYKTOUTC6uMAkVJPAAAgje++5WPDQhdsdW6nBLdzfOaKvZ2qMhzca9TokTKXQKGLttAsGUCAr+Ms2yBDo30Ci+CBbvk+j7bVXSx6HSweVyYfHixejWrZvTokSCqUKIEU4LkUhIKwAYpJRFAFYB0GxcSiysXLkS3bt3T1kvgKaZwPJDXGik229lg321wJ8p4Bn7yEqJL7bFZ+bIy3Zh0X+6oH0zj574A2bCq/bL8ej6lGDbkWlbLwCYJ1oalI8rAoK1y5UFtKwuKKEqp/rSjYGXt8RDkEE9JC77thSvJ2A8gH/+85+4//77nRYjjRhh06ZNmDRpkqEQmDdvHmQ8TX9xQrdu3QyFwOjRo9GxY8e6o7rihNmzZ2Pw4MEx7ePL8xvjxB7ZBjEsrZY4/q2dmLQ2Onu6nz65EW4czQMNaizTnNTz4wHtrOKUEKuAerwct3zzdEr8dbIYhDyEMsCOVLpIPUrs7ALO8etgAQKp8oIrCXQKEbD6du3W4zWv9Uocfu9qTFocvyNr8zOACcM9aJQJ83jp54hb3cHKWZRC0P+OdrAE6yP3dkEHbRQDAsDAQhcyqU6D1fvLpBp8synJ96Ha4G9/+xveeustp8WIFKcLIT5xWohEQloBoIGU8h0A5zstRzi4+OKLk/EfYti4sYPA0z3Df02XlQG7kjxW1qYq4Kw4Wv+fvrQVbvwL2QfOyTF14wesZNwgwNAf+xcO+ecKB4scCC+YoI+1pZQHgFUOSuC5EoLLxetZFAw2Y5RARa3EsLf3YOGOxFLU/frrrzj00EOdFiONOGHv3r2YOnWqcdLAjBkzUFWVAuekMrRu3doUWLBPnz5wu2Onz9+9e3fM42jcNioPjx3TEABQVi1xwju78Pua6JD/wzpl4efLm0FQcq1gIt+M4OqUAQYJp23oLPqsDcnKcWs6l8WkTCCJLtawrj3aJgVN0lnYucKD11FKEzpWla47RcBo03/BvQ2CjVc3FjvFhgYbdtZgwI0rsPMAA0ZGglNbu3BHD5t/h/yZ0XTA+u7w5xts3Lo83bYAXXqQ0wha5wgU5Wo6lRLfb5U47rfUPPbP7XZjyZIl6NKli9OiRIL5AAYKIVJTI1NPpBUAGkgp+wOY67Qc4WDFihXo0aNHynoBZAhg3igXeoWx7bNWAn/s1c8jyYSHVkp8FSfr/5DOOZj2aEe41eKNu77zPfCmz6cMuPybgvCxegrUmk/zeAR/XbBA2JWl7fobNSkZhFlOox0iACX/VKlAFRuqU3rMoa0yw9rW4p21GPT2XlTGK6JjCGRmZmLPnj3IyclxWpQ0HEJVVRVmzZplKAQmT56MvXv3Oi1W1FFQUIARI0YYCoEhQ4YgO/sAz5llaN26NTZv3hzVNimK23ow7fKmKKuSOPHdXfg1SuQ/wwXMvaEFerfwmIk5XRraWaeDHdOnDeRH8uyOvuNEmRM+aqVX33xhU9ciO1MIGIoBjbwUXBFh166SU7B0CftAf1Re5VXnUjLx/lmfdrLoZNfgq1n7cdLYtfYFogwB4I2hGejeIIhQdoqAUGV117QbOwWB+u35u2BXjiDDJTCwkbDEqarxAQN+qMaf+xJjro82LrnkErz++utOixEpThVCfO60EImGtALABlLKHwAc7bQc4eCiiy7C+PHjnRYjZji6qcD3Q0XIl3VbNbAqfl5tMcHGSuCsuT4L740F3C6BmY91wsCO2WaXewDGbKqLdq8j5zSfknQ767uRxsi+SfkA86TrYzLotgwEO2mAezbQsah8SvjtylJvA8HudbL669/yaxme+iMxtgKMHj0av//+u9NipJFA8Hq9WLRokaEQmDhxIjZt2uS0WFFHVlYWhg4ditGjR+PYY4/FIYcccsBbBk4//XR88knsvEszXMDGW5rjnI/24JfV0bMs3jwqH0+e2MicqMg1Jd30O0mPu+Nk3qJEIHMBWLmg1vQgigJdzAFan8vLSbhB9NhYVTol8ybi7i/I+5QIKB/A2tBtHzDGr8nnig2eblIKEHl0pJfLosEtb2zBU5/vsC8QZfQtEPjv4IzYEg/+LOzIv106zYemDPnNOuQCLbOFKf3fS7y4a35in/5TX2RkZGDp0qXo1KmT06JEglkAhgkhUlMjcwBIrgN344t/OC1AuLj33nuT7uzkSPC/HRJfhBENf2cKeFy9sUHGhfwDwM0nNakj/8ZESAm9+k+aCa5hGWfkW/rzVbpOky/JjEuVAOo/0+LLnyhYGUrKqazKhVJbFjArHriiQbI0ycg8Lcueg6Rp0tyW8fzqqt41NAcNMhND53rIIYc4LUIaCQa3241+/frhmmuuwQcffIANGzZg1apVeOuttzBmzBh0797daRGjgqqqKkyaNAmPPPIIDjvsMPTt2xcffvjhAbUZ6600tT7g+Hd2R5X8t2zgxgNHNKz7ZtPTW3zk+ycRyFPfZF6eBmJV30Z+JKzhiUW+jV4yj1hiuNB09n328u81kdUiL+mex4DhFmKVruSi41HjU2W4ctnLvvnGnEj+gj4zIitgbs9L5j06FiqLyYPNTl4EfisfkYngkQtbYGjX+HmBLdgr8d2WIF7YSr76TpN03SE11/Re1zdN50oXvn6QEptV/E0/+V9RBvxzUWqSf6Buy3GSkX8AuC9N/vVIjNVogkJK+SWAE52WIxxceOGFyXgkR9jomAP8eYgL2TZ6jhoJzN6r/64nCzZUAmfHyfrfsUUmFj7dGbmZhJArUgtYrdmcMKuidi76dPHFF3XGtgHSj3Lj5/3R5kO1bVqkafqlfRtliEyCtkNkNOqRfFVW5yGhZAW7lsA/p1XgH9MOPGr3geKHH37A0UcnhYNTGgmE7du3G0EFJ02ahNmzZ6fM9rPHH38ct956a73qzp07FwMHDoyyRLHF22cW4oKBuXU36nPF59eQR/j5P4b8+D7VqCkYoKaunaU/mOWau+zbuXbzPG41pzKFOr3Ark11HyqmAK8vWEF6z70JbMdB7o1xsP7sniHZvrFqWzUG3rQC+8rjsz26RbbAhJIMeGJls9IZH8Kpo2DM72GUBdC7wIUGbkC6BI7+tRo/bU3NbeYejwfLli1Dhw4dnBYlEkwBMCqtANAjrQAIAillPwDznJYjHCxduhS9evWCz5eaHx8AeKibwN2d9a/s1ipgtfO86oDw4AqJb7fH5zv17b3tcdyAfCuZpkSautTTPAUTUZfmidMuKJ+lXY3Cwc7tX3evI95cWaFTBtgpDpQigAYctBsH74fWNdLNfe6v8qHTm3uxo8K5+cjtdmPPnj0Jd556GsmH0tJSTJs2zdgyMG3aNFRUJO+H+KOPPsLpp58ecT2v14smTZokTQyFUe0z8fuYpgHeSkkst4Jyl3vqWm241fsTLS7z/oLB9qzr9t+bFAW6eqRfbTrrQ5FjnxoPI9jhtEvb42nqnh9zqK7tggoa7Unzc+R9BwseqJPFlGajeCDKlw+n7MXZj6/XNBIb3NnDjVNah6EB4L9lfRBKIRCuwoCWIzK1zBbokCcwfo0XF81IXev/FVdcgXHjxjktRqQ4Ugjxs9NCJCrSCoAQkFK+B+Bcp+UIB+effz7ee+89p8WIGXLdwNJDXGirid+0qBTYn8Tf3nWVwLlzfIiH+uaw3nn45Z8dYCK0QN2FxULO8sDyARaEj6QZZQnh533yAH60XxpcUFdXtU/LE3G1JxKAleXXtE3ATOq58oOX5fJY7uuun55TiZsnOkeSiouLMW3aNMf6TyN1UVNTg9mzZxsKgUmTJmHXrl1OixU2evfujfnz59drS92JJ56Ir7/+OgZSRR+zr2qKga0zbUmNybpPCXww6zQl/DpiahBkpQSG2XOAtqMjfjoirOob5Fla69tZ6NV4OCwWepJB8/gRf7wNnSJBF+TQx+qbnj2sz5D2bUojMpKfzlYZQiAlcMLYtfhuTnzOUG6fK/DesAzzY4sWG4mG0iAYmMLA4xIoygN6fluDndXOKfZjiczMTCxfvhxFRUVOixIJfhVCHO60EImM1N04Hj3cDyApqOW99957wMGMEhnlXuCOpdYPbLUvuck/ALy5QcaF/APAP89uDjOZloF9nxbyLwPWbUBDcMlfY6+iHaGWAWLOybrhOUDbQpA9ogjIZSgLSH27fRTGnkqQvfywtk0VGqa2pL5t2q4d/HlX981Gu3znPr3p/f9pxAoejwfFxcW49dZb8fnnn2P79u1YtGgRxo0bh/PPPx/t27d3WsSgWLRoUb2VY8ny7+qIjpkY2MoT+FbrFL50uxWNgG4EeBXWoKymb6C6lubvqmkbF/mmq++xj7ajmSdM95J9w4mM9F71y+cdYzw0j86FpF91weccycZA/1N1tPFySL/GCTy0XTImXdu6vf302dHnQEHnaPLchQCeubQlPDykfYywtlxi6i5pVVKEmj8lK6MrH+shsD5rfBLXz/GmLPkHgL///e/JRv4B4D6nBUh0pBUAISCEWAHgNaflCAc9e/bEOeec47QYMcV7myR+2GH+0O6scUiYKGFdBfB9nFz/j+ibh0N65dgHuQPYBCcCixIOu8UGXeD5yLXKUwsealXnRwjyRaNFPkkWDmQBBCYrXehoxwdYPBckAoGYuKLEtDAjMhuykzHQxS5ZyGW5gfuHRfcYskhw3HHHOdZ3GgcXXC4XevXqhSuuuALvvPMO1qxZg3Xr1uHdd9/FlVdeiT59+jgtogWrV6+uV71kUQBcPTSPkW3YE26AKWHZ914XQJB+i0Ha0JFZHrCPfqslr0vIs0lu1qaSFQKWeYv2ScdA2zG2qJE+jLKkfTVOAfMzoHLSMVieFaztS1aHzqWQsPw+gpal7TIZ+PxHf3P/PN29dRZuPKkJ4oX31/ljh3DyTwNQ0ndBaMpSss/ndX4fbl6EmLlL4oN1qREHRYesrCzcddddTosRKb4XQkxyWohER+qai6MIKWUbACsAOLdqDxPLly9H7969UVOT5Kw4CNplAwtGu1CQUXe/YD9QlsTf338sl/h+RxRnpCCYOLYDRnXPZUSWXAPEHV+YFxYq2UKGYS7Dg/jZucnTa60MrB/LNgHd4kYGFmVKFvpX1VNnLvO+uRwS+vp8fKYjFGG+1oyxrEai+Wv7UF4bn99dobCwEFu3boXH44lrv2mkYYddu3Zh8uTJRnDBWbNmOTp/PfXUU7jpppsirlddXY3CwkKUlyfuWbRtGrix5sZmyHDBvEdckStKKrmLvykPgQrcHV13tB3NVyRbXdPj+WheqH3t2nZJfSWzKS4BGxuXm6ep+nwgPNYBjY+glZs8CypnsOfE26awjZmg6ZOnqzwXzHOlAPaV+9D9+hXYsic+LpVvDslA93xhfp6GjJo0mq7b4kDhg9nEGaxsPVHpBS6YUYuNDsb0iTWuu+46PPvss06LESmKhRAznBYi0ZH2AAgDQoiNAJ53Wo5w0LVrV1x33XVOixFTrK8Ebl1S98Gt9CU3+d9YWXfMYTxwVL88jOqWSywKgT+W44oU+VegVgNalx4/pNrh5am1wXYLAasHUpaWA4jlhNSlViEBcz+6x0uPbVJ96aw7XNFgcfOXpA75z/QMSD/+55OXIXBC+wyNYLHFiSeemCb/aSQUGjdujJNOOgmPPvoopkyZgj179uCXX37Bgw8+iGOOOSbuwSr79+9fr3qZmZkYPnx4lKWJLq4YnIMMi7u1+n7C/L2ilnKdG7vOA4qWlay+6kN9n9VcY9n7xuvQbzMCfdM5y2jXf+8lMvJ5gM5HpEutN4Lpr78RyWUmBS3KYVJXpzgGrHLwbQ68jDG/kYFZFOfkGZmeG6lvHKcYeI4Ns1147MIWiBfeW+8LyMflpL+5RYFBri3zrB8ulq9DqHS7fD/eWONNafLfsGFD3Hdf0nnSf5km/+EhrQAIH/8GsN9pIcLBfffdh6ZNmzotRkzx6vo6q/nO6B2L7Ag+2hLHvf9nNfNfURd8skgw7QvULDwUlPsoX5SohZjhgigDkzeNMG23R9F0T8tTWf2J3GVTsHYkbw+B8WgXhKxdIwP6rQW0LSo7XaDaKTH8+Wd3jj8RP/XUU+PeZxppRILc3FwcdthhuO+++/D9999j9+7dmDVrFp5++mmcfvrpaN68ecz6zszMRHFxcb3rH3bYYdETJsrwuIC/D8hhpA/M24p+/2AmYQCMPet837luG4Ad8fZKfZqXtKlisOi+05xYq7903lFy0L86cs6Du1LiaVKAsOdBx8zb9LI8Lq8p7gBrD2wOpvOKaesDAnKZ+pDmdNq2T5MHUs8/iZ4/ugDDu+UgHvhxmw9bq8lz4F4QPmmO7QNYnyk0dXm+bvuAGrLlWcDeu4DUXVEq8c661D11C6jjEs2aNQtdMLFwv9MCJAvSCoAwIYTYCeAJp+UIB40aNcLYsWOdFiPmGLNAYm3ynjiFGh/iduzfMf3zMaJrjnXRoiBhJukAWVzBvOAQJA8giz9hrqeutQslsjjzatrSbRNQlU0TNl1oSbPMNJ8unmgBWpdm8cWjqU2bvwBZOAizBwGV2y/HX4oykJfBVxixQ3Z2No499ti49ZdGGtFARkYGBg8ejBtvvBEfffQRtmzZgqVLl+LVV1/FxRdfjM6dO0etr3vuuQd5eXn1rn/SSSdFTZZo4/Qe2WiZ7zJ/z0G/jyTdRFRhJqw65bDum6j9liNQ1+K1RWTifai2qGXfQmRVW4J8a2GW2cvGYNQj4xUwe4ip/tQ8ZRojAmPg85VkbXNPBfocuGecz/9QVB98zuRKDeN50+fB5De2ebD+VB/+G5eUeO7SlrYHJ0QTPglMUF4AXGFPf0v6jgRE1ZN33TOgihKlXOJbCXhdrlAg2yV8AB5Z4tXaGFIFnTt3TkZv4o+FEHOdFiJZkI4BEAGklA0ArASQ8Coxr9eLQYMGYf78+U6LElOc1Fzg7s7J+Rr/tFPi3mXxmUGmju2AEuX+TxcfAJn8wRZ4pAGepu6p5d8UkIgJoCPUQCDYHm/XmNzt5CVpdJHD+zPKsbKqjJJfBYxS93xBR9vVjc1UVgA+n9lSRq0YpL1z/1eOD1bEZ7/zSSedhC+++CIufaWRRjyxadMmTJo0yYgjMG/ePEid91IQDBkyBFOmTDmgLTJSSvTq1QtLliypdxuxwq8XFuLQdh7rfnedezU9po+TInrMHv1227UryLcVQcpwGaDJs8QN8CeE2mOv219P29aVA/THBOrSTf2STrglmR+jGGzpot3nz+IF2D0nnsfzdc+D1b/8lc145ac9QQSMDvLcwOfDM5DnEda5VUrzc+DvomTXOss9v7dLs4Om7QnrfXhqeRLvPQ0Dn3zyCU477TSnxYgEEkBfIcQipwVJFqQ9ACKAEGI/gIedliMcuN1uPPPMM06LEXN8uU1i2p7kVMN+sTU+/Rw3IB8lhvUfZguAKWIwmNUAVoWAycouA226WJ7hbifNZJy64XGlgpf1A9YPt/iYXE254gCBMXErjc5NlD4DDtNzIKsG7qJp2q8pmLJFySVN7Z3VKX7bANLu/2mkKlq3bo2zzjoLzz77LObMmYPdu3fj22+/xd13343Ro0cjKysraP1LLrkEv/766wHHxxBC4NJLLz2gNmKBPI/AiDYes/LTZJ2G9XsJyWKl+EG3N6nvpaHglObvq+7brL6lFnd20oll/mHt8m1Z9DurYJnviMzc28Eox/r3Sf2YqEs9r+9j+XRMXvLM6DYK0/NFQHnMn5POo43PgTqPO8A8DlN51rYfD53dHI3y3Ig1yrzAl5t91jlUKWWM34GNg8IyVnLN3fwBc3wAOxj/VmBat2ytlHhpVWqT/0MPPTQZ1wvvp8l/ZEhO06mDkFJmA1gGoJ3TsoSDv/71r/j000+dFiOmaJ4JvDvAhfzYz1VRw6Yq4PTZ8dk/Nu2hDijukqNZ5LDFFE1Tk64QsCxwTHvy+OJE0w5gXgjRfaQg9Ux1Wb98HyAQ8B7gigR/36VVEst21GDpDi+W7azF7gofqmolqmpR99crUe0F8jMFWuS50DK37m+LXBda5rnQsZEbjRQfoB4P0r5PkzeFaf8se05+VNYChW/uQ2WM1xMulwtbtmxJxv18aaRxwKiqqsKsWbMwceJEzJ49G3v27EFlZSVGjx6Nk046CSUlJVHra8uWLWjbti283sQhCcd0zMT35zSC8QGnFmT1TVfpEmbTkC4SveB1YbVAG+WCeBvwcqq9UG3yPJ3l3iQbHwvrz1YeabbUG88nmAcAs/7bnUKgs1aHyrMbF72xHTPJp4p4w7OAvBv+/Ke/3Y2bx8feUtEyG/io2AM32HtGvSXUPX8nDEUBWRyoU3507wgn/fR3YmSfBxKUAG5f6MWkHam7918IgT/++AMDBw50WpRI4APQUwixzGlBkgnxD0Od5BBCVEop/wngVadlCQePP/44vv76a1RXJ3m0vCDYVg38Z43EPUm0FeDrbcFUz9HD8QPzUdw1x2zpNzTiwkrMFYzJlFkLaDlOfmldmsSvLZp+XV2SLhCQ39SeNEh2rReYur4a3y6rxPQN1Vi6w4uN+w58Ad65kRtDWrgxpGUGhrbMwKDmGWhAv5oWmaC5Z2MkSpVsIZGXIVDp5Q1EFyNHjkyT/zQOWmRlZWHkyJEYOXJkzPtq2bIlTjjhBHz55Zcx7ytcHNLOQ5SYjI0qhav6TqnvrQFpdV2n5MpoThJCSvJ06bpbQw6Yv/FGWWEuA6khdWRMaq5R8rpFQGls9IfAmLnbvmqUy0WVzi4mrw+Ai7YrAnMXVwxIkm5SMGieg8r3sQQ6n6vnrHsW6i8lxqay/LnU3fz9sAI8+PEO7InxUUtbKoGft/lwdHNG5AErubfb2kMVHdR4QZUAPvY7AObfDizNyKt7dr9u96U0+QfqvKGSjPwDwPg0+Y8caQVA/fAWgNsBdHNakFDo3LkzbrzxRjz22GNOixJTfLVN4ogmwPBGia8E8Mm6rQvxwD/OaGom/0oAwEq8wfIB/4KJWR1Mk6P/hp8KoLLUgsZYfApzXdqW7pFQuU1eA8DWMolvllTg22VV+N+KKuypjP7EvHKPFyv3ePF/S+sUaC4BdC9049j2HpzaOROjWrnh5otYO+WHT1oWFgt3+7CzKvbvwimnnBLzPtJII406XHrppQmlADi0DVnqGcTYr0DVWUsBRs7JX7cii9JsDVeKA7UdzJgvCBHjsQBou8Y2Mprvn0RUf4BBxkxzhmHFJfOR4dFA6hn9aaz6igSrPNNnmcxfpj6ZvNDUE8I8Fp8MeAVwBQKdM+lzogoHOu+aLvk8zX5TpbigygQ6tyvvNdW/SyA/y4Urj2yEf3+xE7HGJ5t8OLq5xo2TKp7oGkPnKaCrp0A9DqmSwFDIkHT6fom6vkprgKeWJY5XTyyQn5+fjAHEawE86LQQyYjEZ0sJCinlWQD+z2k5wsG+ffvQrVs3bN0ap03nDqFZJvBefxfyE1ytNWW3xC1LYk/6/jIwH1/d0c68SAlG2jlBpZYOqSnL97kDZssLJfi8bZ1bv0kxoSlv3Ndd7Cz14YnJpXh+WhlKq2P/PHVomiPwlw4enNrJg2PaZSA3Q5jl5MoA5mVx27QqPLEgtt45LpcL69atQ5s2baLW5vr16zF+/Hh88cUXWLduHRo2bIhWrVph+PDhGDVqFIYPH47GjRtHrb800kgm1NTUoE2bNti+fbvToiA7Q2DP9Y2R5RbWFZ/Ovd3OhZ1b8WlbpjIs30+gTNZuCVT7JLaW+rC51Ict+73YWiYhRJ28ORkC2Z666z4tPGjRwIWAIoDKT8ZhGgNN1xE6UtjOTVx5PWiD8bFnyPvmrvrB6gp2b4I0l7ELbEjzuEw6ORUMBYS0jgMAXMCm3V50uGElamLspQYAHw9zo3W2Zmy6ZxlpejjbBADLe6rWQQ8t9eGrLalt/X/ooYdw9913Oy1GpPivEOJKp4VIRqQVAPWElNIFYBaAgU7LEg5ee+01jBkzxmkxYo4Tm4uE3wpw51KJ33bFfjKd+XBHDOmYZSbZOpd1StotMQBA6gch5Qo08BItB5j7MMUWIG0JTdsmObgyA9hZ5sWTU8rw/PQy7I+DNd0OORkCxxZl4O89M3FcUUZgG602uJVElRco+qAU2ypiK/Oxxx6L7777LmrtffbZZ7jkkkuwZ8+eoOV69eqFkSNHYtSoURg5ciQ6deoEEY+zpdJIIwFwyy234KmnnnJaDBzWzoNfzikwW65Bru3+Tbp4YQT2SRsfN0KiqRKAKBKkANbu9mLqxhpM3VCNaetrsHK3F7sqQpOpvw3MxSunFiDTLczEVBE0neh8PHQPPiXmnBxL8oDs2qYWe2rF55ZpqvwwaRVYXtAYBzyB51HCzgi89qQFmH4XLpa5rLn+xf/dgrcm7rXKGmVc19mF89rWMzY5V/zw3yTU1oEg979s8+HuP1Pb+t++fXssXrwYOTk5TosSCaoBdBFCrHdakGREejV2AJBSHgfgW6flCAderxdDhw7FnDlznBYl5niyh8CIwsR8tXfWAKf84UOslenHD8jHN3e2s7r76/b5a88P5ml2hJy3xe5pHaoMMPrxX+jq8TY4+ad9CmBnmQ9PTinF8zPKsd8hjwCFjg1duKJXJi7tnolmOVTZERjD+OU1uOi3ypjL8v777+Occ86JSlsfffQRzjzzzHrVbdGihUkhMHDgwAOOup5GGomKlStXomvXroj0OMJo44HhOfjHiNy6G3psXjALtSXgn4l91/3hSgBCbndU+DDhzyr8b3UVpm6owZbSyC2n/zqyAe45JL+ua05aTVZqjazcEm7kKVHJcwCpQ62+6hlRxUYwizpVBhiu+qwOVSDonn2o4xAp2Vey0b51dYMGHGRj0fUJYP66SvS/Zy1ijT4NBV4Z4GbKHpgVS1xGBTo+Cfsx0/K8fQr/O7GjGjh/Vi32xee0XsfwwQcf4Oyzz3ZajEjxnBDieqeFSFYkJktKEkgpBYDfAIx2WpZwMHHiRBxyyCFOixFzNM0E3k/QrQDvbJJ4YW3sF4Sf39oWJw/KD07iQa6pRZ6W5QSdewFw67zaFkDzaf8qnbetFjZ2CgSdzIBZLv/9rgofnpxahucSQBGQ5QbO6OjBVb08GNkyw5BbAhj8aRnm7IytS2FBQQE2b94cFa3+zp070atXL2zbti0KkgE5OTkYNmyYoRAYPnw4GjVqFJW200gjEXD++efjvffec1SGr05tgL90ygwQRxPBg1kZYCHArI7JwkrSJFBaK/H5siq8t6gSP6yqRm09P22ZboE3TyvAuf383ywlD3er56QtnMj8RlnehmaMtCFO/lVd2qfFA4L1qyPzOllpGfX8aYR6OyWBYAm8fdouEFBUBKtH7o95bAP+t7AcscbnxRlobndqpx1Z58892HvCwd93Ah+Am+d7MX23s+uIWGPEiBGYNGlSsnno7QXQVQjh/D6rJEVS/dqJCCnlSACTnJYjXJx11lmYMGGC02LEHH9pJnBvl8R6vSWAc+b4sC7GRt9WjTKw7rnOyHBzUg8rOVeWEK4YkJryumujjr8dGvGYk3+THOqCtCdBykhr2bBkCkziu8p9eGpaOZ6d6bwiAAD6N3HjngGZOKNDBiZt8eKQr2O/mLriiiswbty4qLT1+OOP4/bbb49KWzoIIdC7d29DITBy5Eh06NAh2RYlaaRhYMmSJejduzd8Puf2Ds86ryEGt/Brw3XWYEGYUigLtEoTAHyAdAG/rq3By3Mr8fmyKlTUHth3tkmOC5+f2wgjizJhIt7c8mtHrBW4MkBXV6sQIWM0PSNaj6WH2zcn3vw30LWlU8RYlDWh6vqFthurNs6B9T35fmEZjnt8o6aj6OKmzi6c1YZsA6C/vx2b1ykGdEoBWp6WA0hMgEDWhI0+PLUitff9A8CMGTMwdOhQp8WIFDcLIZ52WohkRnplFQVIKb8C8Ben5QgHa9asQY8ePVBVVeW0KDHHEz0ERibQVoC5+4CrFsV+MrnrlCZ4+Cxy5JtPBogyi6Qf1NWfewEAAYs7Jff83kToefukPaoQsCX47F6AbCfgctE2AmV3Vfjw9IwKPDurHPscjBGg0K+xC7kZAtO2xX5P4bRp01BcXByVtk499VR8/vnnUWkrXLRq1cqkEBgwYAAyMhLQtSeNNGxwwQUX4N1333Ws/7WXNUJRQ5fewkyhs1DbBJyTQuDrldV4aEo5pm2Kjm90tyYZ+PrcQnRp7A7IQ63TNpZpAxZSzQpzi7idEsHSBlN8qLbsiLXRpjDna5Uumv7txhyO8oNvbeD1TKcxCPt8Tb8SAv3uXYuFG2K7dhxQIPBSf3UagM6kD5bHYEf6QYrzfF5HAKvKJC6Z7UV1ivP/Cy+8EOPHj3dajEixDEBfIUTqnm8eByQOO0piSCkHAJjjtBzh4p577sHDDz/stBgxR1P/qQANEoQvPLhC4tvtsSegy5/qhC4tMvWW8mB77QF9wDo7DwFKxmkdrmCgE63mKDyTsgCsrN/SZLTB9v2b2yMKAJVH5NhS5sNNP5big8Wpr/wCgB49euDPP/+MmgW9Z8+eWLJkSVTaqi9yc3NRXFxsKAVKSkpQUFDgqExppBEMS5cuRa9evRzzAii7plHd6STBgr8BGgszUwIA8PqAj5dX4eFpFZi3rTZqMh7aPhOfnFWAxtkuc1A9LpOEdc+/3TjsoI2gT/Ls0ril3PQc/YLoLPu8PL3n+ZSQClZJsHK8vqkeqSCgeU42ioIQJwm8MWk/Ln1tC2IJAeDLkgw0ydSxc8DelA9YXwZYn6tOKcDyawBcNtuL5aXOGwxiiZycHCxbtgxt27Z1WpRIcaIQ4munhUh21DPcZhoUQoi5AD5wWo5wcdddd6FVq1ZOixFz7KgGnlmTGB/w0lrg552xl+XwXrlW8q/A50adZV65DPpgEGeTVZ2CHqGj8ulZu7xt7jWg2uByqPqU9Kv6PlbGUFCwtjVKiJZ5Lrx/UgN8d2ZDdGqkOW84xXDxxRdH1X2+devWUWurvigvL8cvv/yCf/3rXzjuuONQWFiIAQMG4JprrsF7772HtWvXOh50LY00KLp3747zzjvPkb5zMwRy3ULzHaXfR39hGqhV/fWnSSnx0ZIq9H5jN87+Yn9Uyf/f+mbjh3ML0DjLxeRQMhA5lUJCebVR7zY+L/gka4vk02dAn4OU5D/yXAxltE2bSjgedJe2p+vTJ83/6bzfqDx8q5yPtavmSMMjTvWt+iPtUvlA2qOym2QBzivJR8uC2M6dEsDvO5SyTCkkjMUArJoQCq7coesLdq25VNevrPalPPkHgDvuuCMZyf93AL5xWohUQFoBED3cDyApzgnJz8/HI4884rQYccE32yUmJ0AAlx92SlTFwQA05rAC8+IFMC9YfGzCp8fv0bIqT9ByamGFQHtem8WLqgNSll5LWlDTL0SgHD9mSfozDG8GELnoAo30TxQHx3bIxMJLGuHu4lx4UvQL6HK5cOGFF0a1zW7dukW1vWhASol58+bhxRdfxPnnn48OHTqgqKgI55xzDp577jnMnj0btbXRIytppFEf3HfffXC54v+xaZojzN9cg4AK8zdZQR1PQ4jm8l1eHDdhH878cj+W7oruEudfh+bhzRMb1h3zZyKqkpBZvyB87qH3av4xzXNqfBqS638EFv7I29R6xME8z6g8JaNXBvK5ssA0NsnaZPLxelSxIZlsSiZqwafzI22IzuMmhTppy6QMCjy/LBdw2eiGiDV+3kGEErofSkGTZxovh7S5DmDOXol31qe43z+Atm3b4rbbbnNajEjhRd3ef7sXIo0IkN4CEEVIKZ8BcIPTcoQDn8+HkpISzJw502lRYo5E2Apw8XwflpbFto/CPDc2vdAF2cb2Of/kabfnX7c/31hoyYBigJJpI8gfbLYT2KTxfgF7OXRHFxr9SXOb2nHRpyJhCkyoFpl+S9KfO7y44JtSzImiRSsRcPzxx+Obb6KrJF+4cCH69euXdBb2/Px8lJSUGHEESkpK0KBBA6fFSuMgw9/+9je8/fbbce2zf1M35p7jf9cNIsXc6gHzStDvxl7hlfj3zEr8e2YFqqNs2nAJ4K0TG+CCPjnW/g3Xd0X+/LK6SL5k4zFF9WekkAe44276FNQN3jbavs7tntQJ49ma6/ovqLI9WB+68ejGYSdrsHReRpL3xZ83b30VBvwjtseuuwTwdUkGGnnoIsQP/tsZ9/5yxjsAUi8I1TGet0RprcAFf9Ri60GwS/Dtt9/GBRdc4LQYkeJZIURScKxkQFoBEEVIKQsALAXQwmlZwsGUKVMwcuRIp8WIC45tKvBAV+HIC7+sDLhofuw1ytceXYjn/tY8kGBy32cTqCmfE3hCki0ujaSempd1ygJO9vk+ft4vl9dyr5EDpB8fkVndm5QbRLEhzO1U+SRu+LkM/52fOrP+hAkTcMYZZ0S9XSdITLThcrnQv39/QyEwcuRItGvXzmmx0khxrFmzBr169UJFRUXc+myWI7DlkgK4+HnxnGSyvePfrqnBdb+WYeXe6M9bAnXk/8I+2eY96XYB6NTcQsmzjrAyomqAEkYtWRbW8i6Sp1MW6J6h6tekoEDgCD/eJj020CITGQ9XKNiNgyo2eHnKh9XRf6qM4IWobOx38d92u3stVmyLTvBHO9zdzYWTWhIFEBPRBCOfeECYFDlcaU3TAg/nH0t8+H5bcim464OhQ4di2rRpjnglHQB2oe7Yv11OC5IqSKpfP9EhhNgLIGl8akaMGIFzzz3XaTHigu93SHzl0If9hx3x6XfMEQWBG76PEiBkXf0HjdVcmsk6Pe9ZmgqytqXVDZO6GnJlAW/D4o0grXO2ZOWVCyN16TSUEWSlQPtU4yFtZQlg3BF5ePe4fOR7kl8n2q5dO5x66qkxafuVV17B6aefHpO24wWfz4c5c+bg+eefx7nnnouioiK0b98e5513Hl544QXMnTsXXm9S7OZKI4nQoUMH3H///XHtc3uFxN1TKwLfYcDvok5LBb7Z+6okLviuFCd8vj8m5B8Axh2bjwt7Zpn3qwedR6jcZE5RedSNHSpNWt33Aev8Q/vUuftzWRRorBuuXOdxaoz9+Uw2UxwDaP6TgfLQ5bP/6PPRlQfMigCLvP6CVGb+u3glBIDTB+Uj1vh5u+Yd4LLTdAFzgrGFkf/gNC2gCPjfdhwU5N/lcuGll15KNvIPAPelyX90kfyr3QSDlFIA+B3AKKdlCQfr1q1Djx494mqVcAqZLuDVPi50zYtvv+fM9WFtjB/vkI7ZmPlgezPZB8yLB27R120B4HsL6UJGsnYkyzfa8F+YJmhNebrQ4X3xttQfbZAlJr+d3Ja2paXckj1enPl1GRbuTF4C+Nhjj8V0b5/X68ULL7yA5557DitWrIhZP06iQYMGGD58uOEhUFxcjPz82C9600htVFdXY+DAgfjzzz/j2u9rh+fg0h6ZAb7Do9kL4I9tXpzzXRlWxIj4A8CzR+bhukE5zAItrMRUa3GH2dXfkF2Y61Dltc4ajiB1VF9g6Yal3J9gF1zVRdr1Sc2pAaQ+71PnUUBl5FZ/NXa+9YDWMZWD/rlaxuD/S38fYwtdXdrMNVUY9vAG3ROIGjIE8E2Ju27rJv0N7JQZYOkg+coLQF1TpY0AtlbVuf6XptZOQC1uueUWPPHEE06LESkWAhgohDgIfqH4Ia0AiAGklP0BzEaSeFg88MADePDBB50WIy5olw280c+FvDgFgd9YCZwxJ/bu/+MuaYErjmhkJrUWi4b/nu6lVxOqTiFA69Mow5Rwg7RrR8ohA9Yn2pYR3RcBawhtRyAQlIq2aycvVTKEGospWJJZuVFe48N535fj81WxdXGMBXJzc7FhwwYUFhbGvC+fz4cpU6Zg4sSJmDx5MqZMmYLdu3fHvF8n4Ha7MWDAANO2gTZt2jgtVhpJiN9++w2HHXZYXPvMcAE/nJiHw1tnmN27ISEBPLegGrdOrkBNDKeqxw7Nw21Dsutu6Hn1lGRz5QTUPSFvCoL95eQapF26J9xyvJ3Qr4SN9nl5BsvRf6Qe39bAZQVp25SkGYudXJKNSdcvWB2uIOCKCD4uk9x1yR3uWot1u2LLxx7s7sLRzYjMOiUGhVIS0feYPluqRPKX9wG4foEPf+zhmoTUQ/v27bFo0SLk5cXZCnbgOFoI8aPTQqQa0gqAGEFK+R8A1zstRzgoKytDjx49sGFDbDW6iYIjmgiM7RafeAAfbZF4cnVsJ5bcTIHNz3dBwywyIh15B+wt9HaKA50SQWdxJ4H1LGVpOZVnKaPJ11n7VV92HgZAndKALgB5+4zwB+QI9FfrBc7/Xxk+XJFcSoCrrroKL774oiN9+3w+LFmyBJMmTcLkyZMxefJkrFy50hFZ4oEOHTqYFAK9e/eG2536x0umceC46KKLMH78+Lj22ShLYNpf89G9wGV8H3dVSVz6SwU+Xx3b79xtQ3Lw2KG55m8utarTyZhaw+2ILEDILr1nBXT77I3+hTWdW/h1BNqWXLOx0DGGCrpHlRtKZtPpNzolAsx92XkIBFvoUNm4EiOYzABu/mgXnv5xT5DGDxwntxS4qwtxSaC/tyL6Oos/9xSheez5vb9B4tlVqR/1HwC+/fZbHHfccU6LESk+F0Kc6rQQqYi0AiBGkFI2Ql1AwOYhiiYEvv76a5x44olOixE33NJR4IyWsX/9b1kiMWV3bBUAF49uiDfGtKy70VrGYSXmlETTdHWtS+NKAqpVV2mwqQtWn5N/GqFfFaLXauKmHgE+fyJ35RcisB+SykOfhZ1iguR5pcRlP1fgraXVSBYsXrwYPXr0cFoMA1u2bDGUAZMnT07pY/kKCgpM2waGDRuWjJaWNOKAbdu2oUePHnH3mOnc0IVpp+WhabbA1K1enP1jBdaXxpb8HNveg69PawA3JZUmEkZvCEOjRBgwE29KAiVrw0T6GaGnZbggFgUCAoST53HCrWSi8thZ7i1jpvX985mOzAerayoThPTTLQp0XFQxY9keQhQRpO8pqyox8vFNNh1FB53zBN4ZyBxpuScAX+vw34nWAUweAisqJC6d7UNNbJdoCYHzzjsP7777rtNiRIoaAL2EEKm519BhpBUAMYSU8iIAbzotR7hIhQjf4SJDAC/3caFnDLf1VvmAY2b6UB1j5fKk+9phZBf/cUo66z0ltgI2x/cxpYHOhd6OyKt81baU5n4sMQVIv9p4A0FkM5QEpIyprg25p27/pmvSgKn/uvoSwFW/VeC/fya+EiAWR/9FG+Xl5Zg5c6bhJTBlyhTs3bvXabFigoyMDAwcONDkJdCqVSunxUojQfDyyy/jiiuuiHu/o1q6cXnPTIz5rSLmc1PnAhdmntsQhdmExBmENYSFX7c/nde3pGnyFDG32y+v6tkRaBM552UR3ENB5fP9/dS6H45bPk+jbWi3UTBBuHzqJACftPZPn4P6oxmLTwLt7lqLTXtjFy/HBeDHEhdyMtgzFEBgC6H/r/F8KOtXUHN+IKXcC1w61xvz+EyJgMLCQixZsgTNmyeFPZLicSHE7U4LkapIKwBiCCmlC3UBAZPirL2dO3eiV69e2LZtm9OixAUts4C3+rnQMCM27U/dI3Hz4tiqlnu0ysSfj3SomxfpPn01UVMLPaiF3T9bKos6JdD03i6SsrpXk7IpKjLM+SbFAgIk3CX0SgralyLmlPTTfvk+fgq+hcB0H0QJwYMQSolrJ1XihUWJrQT4/vvvccwxxzgtRkTw+Xz4888/TdsGVq9e7bRYMUOnTp1MCoFevXolYzTmNKIAn8+HUaNGYerUqU6LEhPkeQSmnd0AfRq7rWQ9lIWaljXIN1MWGGRcQ5ApmQ0WWE9V0gbr08ip8jhZDzUWg6f6L/jzkLC3+nNlg1ZxwYiwRW7WL7ei656rSQ5hrQPgug934vnf9vGRRxUv9HVhUIFGiWJxA7B5Rzj8j/DexT78HKcTmpzG66+/jksuucRpMSLFNtQd+xfbF+wgRloBEGMkW0DAjz/+OCbnhycqRhYKPNZDxOTHeXK1xEdbYjvBPH52M9x6fCMz0TdZvmG1yKsydiSfEuCg5JiTew35N679F7S8Hfnn2wvoPkifNLfD+1Fy6LwceF/UK0L1RRUpShYJeAEc+WUZftucmKcD9OzZE4sWLYKwi06dRNi0aZNp28CcOXNS9li+Ro0aYcSIEaZtAzk5OU6LlUacsGLFCgwYMABlZWVOixJ1fHRCHk7vnBlIMMg4+ejabQmw8wzQeQVwAm2xtvv/KgJORTCRWk0doanLx8Mt0xyGXLo6XFaSx8dByTpn4nwBE8yrgAct5LIGDSBI5mIX8OuyShz+zGZNQ9HD1e0FLmwnAr8Bh+k5SfPvqeZz9k7930aJZw6Sff+HH344fvrpp2RcG4wRQrzmtBCpjKR7I5IRUsrnAFzrtBzh4swzz8RHH33ktBhxw7XtBc5vHd1/ChLAmXN82FgZ1WYtWPNkR7RvnBHo1C6YHie3lCxzos0VCTolArX8K1c8E3FnJB2kH5A27BQJJgIviCyasiY5SJ9KgaHkFrq2NeOl7ZMzs7eU+zDgkzJsrUg8q8G4ceMccSeOB8rKyjB9+nRDITB16lTs25eaRgGPx4NBgwaZvARatGjhtFhpxBBvvvlmMlrnguL6fln4zyF+RZbOam6kq2s7i7uNVZxeW0i9pg4nvNwSziLDGzKrPf0KVAFhCTAozOkWeTVk3nQfhoJByWBSEpC6xlhoHskXrG1FjnXPVfWlvPX4M3QJeH1Aq7vWYXtp7BS0hzYR+HdPQZ4pVfTAnE4VK8ZgqJYfmLcPuGaBzxROKFWRlZWFBQsWoGvXrk6LEinmABgqhEhNzX+CIK0AiAP8AQGXAWjmsChhYevWrejVqxd27drltChxgUsAL/RyYUDD6LW5rhI4O8bH//Vuk4mFY9vX3XCLNkDc+wmx5ZOeQagJ2Vd1qAKBFAm44LM2tOSe35OFi5HPlBChFAeK7NOtBypd+MdN+9A+A9qnph8+fv9C6JdNXhz9bXlCLR4KCwuxYcMG5ObmOi1KXOD1erFo0SLTtoG1a9c6LVbM0KVLF5NCoEePHultAykEKSXOOeccfPjhh06LEhW0zXdh8XkNkO8RZsLpQ4CcAvZEGbCx9NsQaJ0lXVtG04/p+DxYCT0l1UqJrAs8qK3P2yeK7KDKAI2yBLD3cIBGJl19HdE3KU2kVS46HhuZz35jOz6cHTsPlqaZwJdDbQIB2qXZeATsrAYunuvFjsTezRc1PPTQQ7j77rudFqM+OEQIMdFpIVIdaQVAnCClvBjAG07LES7effddXHDBBU6LETc0zQTG93Oh0BOd9v5vs8Qza2LLEm87vhCPndVUs+efkd1glm5OuNUkyvf025HyYBZ4ABY3f7C2JOuHyg2eFqwtTVmL0kDTJpWR11XKBJb38Lxq3PNH4qwg7r77bjz00ENOi+EoNmzYYNo2MHfuXPh8qeni2bhxY9O2gaFDhyI7O9tpsdI4AOzevRv9+/fH+vXrnRblgPHZ8Xk4pWOGlaQqIk24GYCAdTlY4LpQ5FpBWaztLOqU8HKLOdVGcCMytbrTPu3ao0SUG6HpOA15WbvUim1HykOeBqCpq0un7epk1/VN2njq13245ZPYGou+GOpCM7KbRKsAUDLx+EB+eCVw3SIf5uyNpaSJgz59+uCPP/5AZmZm6MKJhQlCiLOcFuJgQFoBECf4AwJOAjDcaVnCgZQSJ598Mr766iunRYkbhhYIPNNT2AYfjgQ3/CkxY29sFQA/394Wh/fMMRNierwf7d52jz1J9wYs3Vp3elVXpdmRaaoYoK77XElhUkiQsjRfksYpn6OknferygqYx+EDLIoD+jxUPldssD6lBA77pgK/b3XeOy0vLw9r1qxB06ZNnRYloVBaWorp06cbXgJTp05FaWmp02LFBB6PB0OGDDF5CTRrlhTOZmkQTJw4EYcddlhSK65O7ejBp8flEpIK5rIdxBJvIZggF/6MYCTX0ia5MBFnmJUPCtSKzl3ruay0vK5vpdRQeZQ0S1aJ5+va4+3y7Qe6SP5U6WDn6aDbYmBXjuaR9MkrKzHqP1tsBI4OHukhcFgTm4dipwwATL/l86sl3t0Y2zVZokAIgSlTpqCkpMRpUSJFJYCeQog1TgtyMCCtAIgjpJQDAcxCkgQE3LhxI3r16pWy+211GNNO4LK2B/bPosILHDsztmfLNsh2Ycd/OiLT49JbwwFyKgBLV8Rat6+fkmhTXf//FLHmgfpUfZqvk4mXNcnrL6Da1PUTqh1+IgE95g9Cr8DQKUZUGdoWeXa/b63Fod/GOMBDGLj99tvx6KOPOi1GwsPr9WLBggWmbQOpYG21Q7du3UwKge7duydjEKiDDvfddx/Gjh3rtBj1Qr5H4M8z89CuwG0l8mpeCEbWdRHeuQUasCejYPm6111HmHVEmpdVc6WlbXUhrccESlLfpLjQKBhoPToONe9YTikIIi9PV3mmsRIlBv1t7JQoXJlCUFEj0fCO9ajlSvko4oI2Atd0CPL90ikByHh/3SFx15KDg/wDwLXXXovnnnvOaTHqgweFEA84LcTBgvSKIM6QUj4P4Bqn5QgXr732GsaMGeO0GHGDAPCfXgJDC+r/T2PibonbYzzZ/HVwPj6+umXdDSfhRtfSbPU2yjISTYME8jRazs4Fn16HQ9hpPYPoqzLSOh5eXslHoXPjNykrBHs2sFr37Z6jZOX8C7gjvq/EL1uc8wLIycnBmjVrkvFs34TAunXrTNsG5s+fn9TW12Bo0qSJSSEwZMgQZGVlOS1WGgw1NTU45JBDMG3aNKdFiRiPFWfjtv6Zge+/9hg8UkF9k+0i+1Oiyi6DEnbaPuHndf2oOcdGuWAQcY3spj34wfom5NoyJmG24KtrlW4h6rB/TlxWStb589fKqeoyZYuRJMxKCa7UMWQDBj+5GbM3xG5b3MAC4MU+9bObrasALpnnQ7nzDntxQZs2bfDnn3+iYcMoBrWKD5YAGCCEqHJakIMFaQVAnCGlLASwFEkSEFBKiWOOOQY//vij06LEDY08wNv9XGhaz61Tj66S+GxrbBUAr17cHJeNbAgTc+cE1iDWZuu1qawuAr+pHQQuqIWe5mnc5IMSaS6HIuqqvk4eTvglG4NOHkX+dePhSgto8kMoIX7f4sWh3zvnBXDzzTfjySefdKz/VMO+ffswbdo0QyEwbdq0lDyeDQAyMzMxdOhQQyEwYsSI9DaSBMGqVaswdOjQpArC28AjsOG8PDTM9DPbUMHkgpF1CrX3XpXhZFURaGhIsK4tVUcRW0W8qcxaws8t/6ouyxO0ARtFAFg5U9saUzYn8qYTAUhx2zZt6qq2gz1f2q7umfrTrv54N16avF9TIDrIcQM/Frvst2dy5ZIfFbXAmAU+rCqPmWgJh88++wynnHKK02LUB6OFEJOcFuJgQloB4ACklJcAeN1pOcLFmjVr0KdPn5RdDOswoCHwfC8X3BH+C5EATvvDh60xjhG38YkOaN1IHf8nYdkfz635qpwSUpFZ3VF+CpaI/CRNGzxQI4dRl5N/MLLvv1BB9wQrG+zUAKM/liegkZUpGHSWfyqSXV3/9eE/VOFXB2IBZGdnY/Xq1WjZsmXc+z5YUFtbi3nz5pm8BDZu3Oi0WDFDr169cMkll+Cyyy5DYWGh0+Ic1Pjtt99w9NFHo6amxmlRwsL1vTPxn5IsYpEm31G7rSd2bu2qjs5Cb7rXEOFwPQNUuqkOyeOEMlS7ujbpYwh22oDRjrDJE5qysCogtO1rniNVbihQRYIufoGPXHMvBgG8NaMMF3+wE7HE2wNc6JIL83joPM+GJAH8Y5nED9uZQiWFcfrppyfrEd4vCSGudlqIgw1pBYAD8AcEnAwgaSJ0vPDCC7j22mudFiOuuLCNwNVFkf0TWVUOnD8vtm7EA4qyMOf+dnU3uij7PJ3nhyLDasKn1n5+7p2d1Z1fUxJNybs2L4SMFg8Clm+JSyDJNoAgffPx075UPd6vv+2ft3hx5I/x91i74YYb8Mwzz8S934MZUkqsW7fOFEdgwYIFkCzadLIjPz8fH3/8MY455hinRTmo8dZbb+Hiiy92WoywsOyMXHQtcMPiqm4iwdATZUU4VV1O5nTtUas/J8HK4m4QcULqdXl2/dK+Kam3I97GNbfY03xmoaf5UtW1aZs/O96vKqO11DOPAJOiwuYZKAUCzXPxegAgsWR7LXo+ulnTcfRwZxeBU5qT8RnHSvrBfr+PNks8uSq1vs3B0LBhQyxevBitW7d2WpRIsRFALyHEwRNsLEGQFMHoUg1CCB/q4gAkzdfpqquuwujRo50WI654e6PE5N2R/URT9sT+Jz2hrz/KMrfWA4yk+kGj+muJNZgigeUbxyqxutKmrlGOlBX+BEs9svgDk5Fa5y3XhKBL/70g9zyGAV00mdrzl+Xk3zIOOrZA/mEt3CjwxFePmpWVhdtvvz2ufaYBCCHQvn17nH/++XjxxRcxb9487N69G99++y3uvfdeHH744cjNzXVazANGaWkpTjzxRHz55ZdOi3JQ46KLLkqKM7yPb+NG14ZkKUm/r0oXrsiij3xvTWWl+RtL5xWjLUm+7wh8u40KZE6gwWvV/EDbMmSVAS84AVgU59x7zsfkkUx2PyG2KMF9pC5YXR+pS7e80TaDPTsObX2pf86mMUI/Fu1voZ5J3X23ph4UZMeWTixWOwz4ewKw3xtYuB/4z2rNs0lhPProo8lI/gHg6jT5dwZpDwAHIaV8AUDSuL0sX74c/fr1Q2Wl89HP44UGGcD4fi60DDNe1tWLfJgT40/ZpDvaYGTXHLPrPrV20wk7aOA8mBc9tIyuLZqvFk6S9WtsAyBy0UWIyuKyGQsnnq4j43xxJa1bBuzkNOWpfOhl1MppXSyd9Fs1vtoYv20ASRzhN+VRU1ODuXPnmrYNbN4cW8tYrNC2bVssX74c2dnZToty0MLn8+Gcc87BhAkTnBbFFt8enY3j2mYEPvmA1cIMkm5cK5d3GboMbOrZubgbVneNq7vdvn8Ok9u+MM87wbYv0Lq8b13b3KTPx0O9AugzVnLQPfwS1u0QKo+3Sx+WJY/Vs7RHLvzP+piXt+N/y2K3NuzfEBjXx2WWhb9zAPZUAxfN82FbjLdhJhIOPfRQ/Pzzz3C5ks6m+6EQ4mynhThYkXRvS4rhXgA7nBYiXHTt2hX/+te/nBYjrthfC9y+1IeKMPhdqReYH7s4OACAwlwXijtlEUuGCFhGgDpXfW79Vv9RV0hKlKmFwZKnCDK9JvlaRQH5K0ldo28Ji4WCkn/BVhp2BJ2PU8nLlR8+WfdcqBxgbWmVDKyORYFR96dnw/jpUTMzM3HHHXfErb80IoPH48HQoUNx4403YsKECdi4cSNWrVqF8ePH44orrkCfPn2S5ji+DRs24PXXkyZUTUrC5XLhrbfeQnFxsdOiaNEoU+CYVm72zbX5LgPsu8/nHhvlq601m/Vn6RewfvN18siAhd40D5C2LZ4DYJZ4km4H2ocxbgT6Vw1o5SXjNnkBkHUAnUdpfXoCjmqPejKo56DKG3Kxvrnc9Pl6JYrb1TNqcpjYUgXmiUj++v/z+YD7lsmDivwXFBRg/PjxyUj+dwO43mkhDmYk3RuTShBC7AZwp9NyRIKbbroJw4YNc1qMuGJ5GXDfcqn1tqOYv09atspHG8f2zkWG2pcHIOiKQ02MlMBzokzzTfXYgoD+Z0rnCxJNPkSQttTMTeTmLpaGkoEt8OiF3eNQ91z5YRf5n5+aYPxlaaT+9J3xOzru0ksvRdu2bWPWfllZGbZv346qqvRJPNGAEAIdO3bEhRdeiHHjxmHBggXYuXMnvv76a9x999049NBDkZOT47SYtpg8ebLTIhz0yMnJweeff4727ds7LYoFxU1ddYtICwHXkHJdMFqTdxlpR5WnaXze4vOIiajqSLSEZV4DrN93rgzgrv5qDILkgc2BxrYyCcvCgcpDn52xTUDTp0rnHha0fzoguq2Nz6daWcCU5JrfUl1z+Kf44qLYKgC2VwNeL2w8Lur+vLRWYtZejYwpjBdffBFFRUVOi1Ef3CKE2Oq0EAczMpwWIA28AeAiAEmxwd7tduP111/HwIEDkyZCcTQwebfEf9YCN3Wwt979WRp7OY7vo/YYE7d/bjUPtoddBKqa9szT9QMnuxQ8HoAREAkB13+jP77gY0Jx0m6Sm7YJq7VCXdOtB8aYyPPQbWPgCy8d6MJS/VHtkvq/bfXi923xUQB4PB7cddddMWn7o48+wquvvopffvkF1dV15pPmzZtj1KhRGD16NEaNGoUBAwYgIyM9ZRwoCgsLccIJJ+CEE04AAFRXV2Pu3Lmm4IJbtybGumjNmjVOi+A4pJQoKyvD/v37tf9VVFTA5/NBSgkppXEdLM3j8SAvLw95eXnIz883rvl9Tk4OhBBo0aIFvvrqK4wYMQL798fYzSwClDRz1X0XlSu6EISo+r+TQjILuQBcjKCr77WxnYtMDsq13fSpllalruGdJtk8wNoQkrQisKXchz93+bB4lxdt8104tbOH9COsbSt5TemmwQSeBZ2TAPPcCTJ3AuZrw6JPniNV/NOTFujcqxowtgHIwDM3FWHznmn94P/PRepKCXhJXaOdQLvFbWOrAPBJYEcN0IJ2Q7YCfLFN4p1NBxf5P/fcc3Heeec5LUZ98DOAN50W4mBHcvgipjiklJ0BzAeQNBGkxo4di/vuu89pMeKOmzoInNVK/8/mtiUSk3bHdgLa+kQHNM/3O+5wAkuJNyf3uvKAObq/stYrqwUluz5Wl5JsbpUxFl8wL/xMigBhJeWUdOtk5teWeprx0zJKbrCyJkUE7St4316fRPH31fhjd3wUANdccw2ef/75qLZZXl6O6667LixX77y8PJSUlGDUqFEYNWoUSkpKkJ+fH1V50qgjnCtXrjTFEfjzzz8dkeWoo47C//73P0f6jgVqa2uxbds2bNmyxfTf1q1bsWXLFmzfvt1C8EtLS+HUSQ9CCEMp0KJFC3g8Hvzxxx+OycPx3RFZOLa1O5Bgt+9cO2UG9o8b5SnBVSTa2AcPmIi/apfwXku/fvgArCuTWLzLiz93+7B4t7eO9O/2Yk9VXZ+Dmrnx61/z0SBTsG1ofuhOIzDJZicPGStvz7LlDeSZ8GfA2xaafkhdi5wsQddmyJgITLHByhY+uBl7KmI3H77cx4W+Dazps/ZK3Lg49h6YiYR27dph3rx5yXhkawWAvkKIlU4LcrAjrQBIEEgprwbwgtNyhIuamhoMGzYMc+fOdVqUuMIF4NEeAqMKrf90TvkjtoFnhnbIwow729Td2BJgG4JLiTUnvKb9h5q2LO2wPEBP5mldk8ysvJ11nuaZ9jVqCL1dPRXhmfelI/eG8kI3Duv1uBVeXDUrPl4wDRo0wIoVK9C8efOotnv55ZfjlVdeqVddt9uNAQMGGAqBUaNGoWXLllGVL4067Nq1C1OmTDEUAjNmzIjLNo0HHngA//jHP2LeTzTg9Xqxdu1aLFu2DMuWLcOGDRssRH/Hjh0JQ55TAbvOzEahRwTIMeHp1g2mxDptsn4zRQEnpBYSq9oX5nRSb0sF8MWaGkzcUovFu31YvNuH8lr7371DQxemnpGPlrkuM4Gml0YfjDyz4ia5eRuqEif9wZQBuudB++H9K6WErj1dgEDaDm/DbmxAoCHyfPr9ZxsWbIndnPivbgJHNTELtLoCuHyBD6Xxi8PrOIQQ+Omnn3D44Yc7LUp9cJsQ4gmnhUgjrQBIGEgpXQB+AHCk07KEizlz5mDo0KHweg+iLy+AbFddNNrueYG03TXACbNiawl+4MRC/OPEQjPJpYsQStIFAtZ9blX3+QvQvZamQEFMiWDUYWV9pIC0Ka+zsPPH5NP0a2oDgXxTERnYqylgte4HI/u0nGVfKFE62MQD2F4p0f3rauyujg+ZGDt2LO65556otvnzzz/jyCOj+7np0qWLSSHQrVu3pAl6l0yoqqrC7NmzTV4C27dvj2ofLpcLs2fPRv/+/aPa7oFix44dWLZsGZYuXWr8Xbp0KVasWGFsX0kj9miUKbDrjGwzt7UjnuGQVsny7D4bVNkgA2nL9vjw2ZpafLa2BtO2ermTuy2aZAtMPr0BuhfahMTi3ggm5YbGM0E3VsuYNIqAUM+PbrezfVbs2bhYG5K0xdvXeQdQuATZ7sGG769/4vid+Hpp7E4CuLa9wPmtA4LtrgHGLPBh00EWsubWW2/F448/7rQY9cFsAMVCiFqnBUkjrQBIKEgpiwAsBKBxckpM3HvvvXjooYecFiPuaJoJvNrXZexHm76nzgUtlph2ZxsUt/efRxjOUXY8eJ6W/MJMci0Bi5hSgSoCVB3jr7+QsUdf0y9p3iuB7aVebC/3YVu5D9vKfNhWJrG9wodt5bIurdyHPVUSORlAQaZAw0xh/utR90CBp+5vI49AlwIXsqm1g0dxNt1TZYYg95pn4M+7dEYN3lgdH8VX69atsXz58qifMX/eeefh/fffj2qbHE2bNjUpBAYOHIjMzNjuFT0YIaXE8uXLTQqBJUuWHFCbt99+Ox599NEoSRgZKisrsWLFCgvJX7ZsGXbt2uWITGlYcW03N54dklm3rV5nxdcd78cJLM3T3fN4Lv52fQBm7fD6SX8tFu+JXAGf7QZ+PiUfw1u49d4IVMmgk4cTenVN8+jWBuq1YGrPak0PeDlIa7/GX01dXlb6SbsglamSwfRcEfhtdF4FtK5ql+CqL/Zi3IwyxApnthS4uWNdn9U+4Jo/fViYOCEx4oJ+/fphxowZyMoK82zqxIEXwFAhxBynBUmjDmkFQIJBSnkZgFedliNcVFVVYdiwYZg/f77TosQdXXKB//ZxIdcNjN8o8dK62CkAsj0C+5/pgAzqfaf+6lzZFZSlXrDy1M1d1w5P43UVqVYLBm6tN8g/We34JLaUenHpt6WYsbkGuypk2FaaSOFxAX0buzG0qQvDmrsxtKkbvRu54DJtc7AZr91z9JeZvN2HUT/Fz9L42muv4dJLL416u0VFRVi/fn3U2w2GnJwcFBcXG4EFS0pK0LBhw7jKcLBgx44dpm0DM2fODNtCfuaZZ+Ktt96K6QkFPp8PGzZsMJF79Xft2rVpV/0kwfXd3HhmsAeCkuBQLuVaS7Q/0UVuWd1qH/DrFi8+W1uLz9fVYlN5/d8RlwA+OTYXp3TwaBQQeoJrkGQfuVbk2/BGIG2oOmR4pj5MZB4B0s/LK+s7YI1FoFOo0DbtvA5M3gHCPC7eBthYdF4EAB7+vRT3/G+fJT1aOKSxwKPd65Q/DyyT+HHnwfWNyMrKwqxZs9CnTx+nRakPHhVCJNWpZ6mOtAIgwSClFAC+AnCC07KEiyVLlmDIkCEoK4ud5jdRMaJQ4LHuAvcvl/g5hpNRcccsTLutNSGrnKCSNG59B0mj+/3VNgCtZVxCT4xJnlowqHoUqrxme8H+Kombfi7Dawti5yqoQ16GwKAmLgxr6qpTDDRzo2MuYHkOGm8F9VxqAQz+vgrz98Rn4dGnTx/MnTsXbrc7dOEI4PP5kJ2d7fhJHi6XC/379zd5CbRu3dpRmVIVlZWV+OOPP0xeAjt37jSV6dKlC2655RZcccUVUd26UV5ejh9//BEzZswwSP7y5ctRUVERtT7ScA7Xd3Pj6YGeOm7KLd864q/yDUs3a5C9e9srJZ75swYvLq3Fnihtu3ppdDau7MW8kSxWdqYI4B4BFi8AaIg3rM8AIERfmt3raTm7WALheE+oYH3KE44/Z118BVUHpJ6pXRt5/O29M68CF360G7FC9zzgzX4u/HedxJsbDy7yDwDPPPMMbrjhBqfFqA9Woi7wX/qDn0BIKwASEFLK1qjbClDotCzh4u2338bf/vY3p8VwBKe3FJi2R2JjDPnsVYc0xIvnNAltnZcsj5JabvXn9UDybcm/P5Hf88B5dooKwFAWfL2iCn//oQyby+ITRV+HplkCJc1cOKO9G6e3dSM/A1bZiaLjP8tqceOc+G1f++abb3D88cfHpO1OnTph9erVMWn7QNCxY0eTQqBHjx5wuWz256ZRb6htA1u3bsW+ffvQqVMn9OjRI6rEf/ny5bjjjjvw7bfforIyvgq/NOKLC9u78dowDzwuWFeWOku6cc1Ir7F1S2BzhQ9PLKrBuGW1KI/iZ/eegVkYO5S4UOs8AHT/DChJtrjI2zUGM8EG2DhZv7yOYd2X5r7tnqFSJNgpJozy/oa4hwJtW3kk8D75tgY/fltTjcNeNysVo4lGnro4AGNXHHzk/+ijj8Z3332XrHPhEUKIX5wWIg0z0gqABIWU8nwA7zgtRyS49NJL8cYbbzgtRkri5fOb4u8j/KEhdEfZqWugbnM9ncC5R4DdMXk6rwJ+nB91m1feAgLm+pbAf7yfgDy7KiSu/qkU/7fU+eBduRnAKW3duKCDG8e0ciMD5uexuVyi+zdV2B8n/n/EEUfgxx9/jFkQvdNOOw2fffZZTNqOJpo0aYKRI0caCoHBgwen4wgkOKSUePbZZ3HXXXelrfwHEU5o5cKHIzKR5wGz9vv/RwkqSJ5BNOtI7royicf+rMGrK2pRFeVQKxd19eCNQ2nwQmYJpwhmcbdxg7coO+jWBqMPjUKEewcozwDuNUETqCwGSRfmtrRtkzSicKlLk2YFiJJXpQc5SWDVbi86P7PN+kyiiAwBBDnQISXRuHFjLFiwIFm9414VQvzdaSHSsCKtAEhQ+LcCfAzgNKdlCRdlZWUYNmyYY2dWpzJm3dEag4tYAEBLID5G4HX5PtRN4Nx1nwcCpBp+ScoaFnF/GZ80l9MpGCyyWD0VPlxajat/LsPOysSY2ZtnC5xT5MIFHdwY2qjuM3n+tBq8ty5+3gqzZs3C4MGDY9b+9OnTUVJSErP2Y4Xs7GwMGzbMUAgMHz4cjRo1clqsNAj+9a9/4f7773dajDQcQEkTF74anYEmWa4AaQTMJJW6vxMSvbJM4t8La/HW6lrUxOBTe2wbN748JtfqpUCPtuNk30SWNZ4BOtd4wBzLgG+HoO71guXrVuXayPtMSUDzLNfcyyJIf3ZeDi5/ZcnaI/WqvEDO2C2WA33SODBMmDABZ5xxhtNi1AdbAPQSQux2WpA0rEgrABIYUsrmABYBaOq0LOFi0aJFGDp0aNrqE0VkuARKn26PLOr5RQk4oHfbB+yD/dG6tL4un7vC67YXcMUDbUel0f5pXT+2lHrx9x/L8dVqZ/elc/RoIDCiqQuvxynqPwCcf/75eOed2DsAXXjhhXHpJ5YQQqBv374YNWqUEVywbdu2Tot10OLTTz/FX//6V6fFSMNB9Gwo8P0hHrTL5ZZuPcFdvB94ZFEN3lvrNU6vjTYGNXHh1+Nz0MAjAkTejjgbJFmTx+MCGJZ3eq2x8JvuNR4FlnJCH1BQsr+0TWrBp+3xCP68P+qVoJWHewTQMUhTfqsnt2FLqXPb+lINF110Ed58802nxagvzhBCfOy0EGnokVYAJDiklGcAmOC0HJHg9ddfx2WXXea0GCmDAW0zMeeuNlZS79MQaQkNQff/z+5ce6qut0Tz53WkOU8nB5eBewzo5CSKgTcWV+PG38uxL0rBnpINmZmZWLp0KTp06BDzvmpra3HZZZdh/PjxMe8rnmjfvr0pjkCvXr2Sde9kUqG6uhpFRUXYunWr06Kk4TDa5tQpAXo11BBLP7ZUAzfNrsX/rfNaQsVEEwWZAvNPyUFRnstK1hV0WwF4cD5o6tB0ndWck25aPmTkfiYbYLbgW7YbMLnoWO3a5f1yCz9VAljSqEx1mcWv7cSMjYmlxE9WdOjQAfPmzUvWk3I+BnCmEOLgXMglAdIrogSHEOIjAB84LUckuOSSS3D++ec7LUbKYFDbzADJ9sHsdi8AExunn1pK1JXSgEb5laSAhHXLAEg/du1Ta7+d35+Pl9XJGPAyuKSnB/PPbYAj2mbo20txXHfddXEh/wCQkZGBN954A1988QWOOuqouPQZD6xduxbvvvsurrrqKvTt2xdNmjTBiSeeiH//+9+YNGlSOiBdjPDpp5+myX8aAIANFRKjf6nG1O0+cHYvAby/zofe31ThgxiTfwB4uSQTRbnEQk7nOqpQV3OrJGlAYH6jc5hkdehfY6B0foR5/jPNmzLQn5LJbq5V7VKZ+dyq2lTb/ixxg1hZYzwIPCM1J/uI8cAn9X0q70CfRLuGaVoRDbhcLrz99tvJSv43AbgiTf4TG2kPgCSAlLIJ6k4FaOm0LOFi//79GDJkCJYtW+a0KEmP585sjGsPaRh8z7+PZFgWAjDv61dl+UJEXSuLPc3j/fDFieqDW/UFzaPyILDQ4EoAdSmBR/6oxL3TK2O+QEwUNGnSBMuWLUPjxo0d6X/r1q2YMmUKJk2ahIkTJ2L27NnweuO39SFeyMzMNMURGDFiBAoLC50WK+lx7LHH4ocffnBajDQSCDlu4KPhGTihRZ31fVs1cPUftfh4Y3zcxC/pnIHXR7KI/9xdn85VoazklmtdfohtAnwPPu/fB82RgLx/f4YpYJ+NxwH1aNC2RcZB5aLlJMzxBly0gUCjN/1vP56ZUY40Dgz33HMPxo4d67QY9cVRQoifnBYijeBIKwCSBFLKkwB84bQckWDevHkoLi5GVVWV06IkNSbf3Aoj2vujnnNCbiLihFwD+gB/anFBXfl1hJ+2rdIoaTet3aS5T7UeoNcWa4O/YylZOh1XXdrHq2rwt58qUH4QhP599dVXE2r7TFlZGaZPn45JkyZh0qRJmDp1KkpLS50WKybo06ePadtAUVFRzE5gSFUk6tGSaTgLtwDeGJyBnAzgqjm12BGnJUHXBgKzT8ypO94VgP44PU0aoCHmhFwrcm+3d17BReY4LfkmfetA++bu/Lp8qUnXjYXX4coP260JQRQM/mfx1PQy3PJjas4R8cKQIUMwZcoUeDwep0WpD54QQtzmtBBphEZ6dZNEkFK+AeBip+WIBOPGjcNVV13ltBhJCyGA/Y8VIS/LFVYgPYPcc+MKJ/Cc3NsRf9qWmvjVMYN2cuiUFBYZ/RmU9HO5icyztnlx8rdl2FyeukqA4cOHY9KkSQm9V722thbz5883FAITJ07Eli1bnBYrJmjbtq0psGDv3r3hdrudFithIaVEbm5uentFGgmBDAFMPTYLQ5qyf7OGFV7d25BdlUet92B17FbQtnvrWX+cWAe10LMOdaSexwQIR2aTVwLvj8lHZdfFHxDA6/MqcdnX+6x5aYSFhg0bYtasWejatavTotQHcwGUCCHSVr8kQFoBkESQUhagbitA0oS4llLinHPOwYcffui0KEmJni08+PPu1vbu+hYC7p/NdVZ3wGqhB0lXFnnuVaDaspwkAHOeLeEn15a2NJZ/foygv+yGUh9O+q4cc3emXoRhl8uFP/74AwMGDHBalIggpcSqVasMhcCkSZOwZMkSp8WKCQoKCjBixAjDQ2Do0KHIyclxWqyEQXV1NbKyskIXTCONOODOXhl4ZIDHSlSp9d5kMddYxAGzlZ4Ted0xh+paldEFEdRF5edEX7B8Wp+Xo3km+YnngKkNG5kB67YFKrPdKQKk3XcWVuLCL9MKgPris88+wymnnOK0GPVBBYDBQojFTguSRnhIKwCSDFLKYwB877QckWDv3r0YNGgQVq1a5bQoSYfzBufh3Qv9p0CqffSUeIci+xSc9NP4ACarv/+CHyEIWLcP0D61HgnBrol7pK6+JeYBUFbjw8k/VODnTam1L/26667Ds88+67QYUcH27duNOAKTJk3CrFmzUFtb67RYUYfH48GQIUMMhcDIkSPRpEkTp8VyDFJKZGZmpuRvnUZyoVmWwIqTstHQA5hc7IO5uBsWdjXPCpYHc7pu/z2gJ/VGvtT379KU53VUgVDu+i5ehSgwdN4Mdm3o+mOi6LYYTFhShbM+SysA6oM777wTjzzyiNNi1BdXCSHGOS1EGuEjrQBIQkgpxwG4wmk5IsEff/yB4cOHo6YmfTxMJHji1ELcchgLAEhJOrec0wlaR765UsBC6CXZKkDSeB86hQPP4/lBgxgyuVSaSTFRd19aI3HkNxWYsT01lAAtWrTA0qVLUVBQ4LQoMUF5eTlmzpxpKASmTJmCfftSc4HYs2dPY8vAqFGj0KFDh4MqjkBhYSH27NnjtBhpHOR4YbAHV3d1Mxd76Fe83C0fMO/d55Z2ixeAqkPbDGIt1ykCuOVetxVAldd6KdC/pIDh3q+SiEeAjszrPAKCbU+gdf34fEUVTv04Nb/vscQRRxyB77//HhkZSXn60ZcATklH/U8uHDwrkxSClLIBgPkAOjgsSkR49tlnccMNNzgtRlLh52ta4PAufrdawyLv/58i25a9+zaKAG5h1xF6Xp9H7aek3OJhYEP2LXIR6z+XX6fI4MENBbCrwodDvq7Aoj3Jvx3g7bffxgUXXOC0GHGD1+vFggULTHEENm3a5LRYMUHr1q1NgQX79euX0nEE2rVrhw0bNjgtRr3hcrnQtGlTNGzYEA0bNkSDBg1C/pefnw+PxwOXywUhhPGXXtO/AFBRUYGysjLjv9LSUtM9TduzZw+2bNmCzZs3Y//+/Q4/ocRHtwYCC4/NhMets8LDTN4t+Xbu9hrWTck1LUwt8Db75C396Ui1REARoYu+Twm9XR865SNXVNgpAwwFiKYPwcZK2vh2dTVO+CitAIgEbdq0wezZs9G8eXOnRakPtgLoK4TY7rQgaUSGtAIgSSGlPAzAL07LEQmklDj99NPx6aefOi1K0mD3w+3QKJvsybO4zGss8pSsU0u+ItaCtQUEzvkN5lGgI+yClbW0a6MIoGlcIWH0x/KYImNzucSobyqwan/yKgEOPfRQ/PLLLweVlZhDSom1a9ea4ggsWrTIabFiggYNGmD48OFGcMFhw4YhNzfXabGihp49eyZkDIjGjRujZcuWaNGiBVq2bGn5T6U3bdo0oRU0ZWVl2Lx5s+1/GzduxIoVK1BdXe20qI7hs5EenNLGz3KpJd6OZFPrt4Ii34DZku/SmchJG0Zlf6LO3V7JpbPkG80KsyIhHGs8lcFk9Sf11BiMdCoDUUZwJYW2rv7Z/ryuBkf+317NoNPQwePx4Pfff0dJSYnTotQXxwshvnNaiDQix8G76kwBSCn/A+B6p+WIBLt378bAgQOxdu1ap0VJeHRqkoGV97S2EmdK8AE9cbY7gs8nAxO3zmNAbQmApq6OwNN+wGQS/vZUGe6JwGXnLv/cs4HK4f+7qlRixNcV2FpJCyUHMjIyMHfuXPTu3dtpURIOu3btwuTJkw2FwMyZM1Ny+1BGRgYGDx5siiPQrFkzp8WqN4YOHYpZs2Y50nerVq3QvXt3dOvWzfS3qKjooApO6PV6sWbNGixZsgRLly7FkiVLjP+2b09tI93gQoGZR2aaDd92q1xTYD6NKz63wocKxsf7Yq7xlvZp36Fk5HoHTspN42DmfK3LvqZ/u7Hayab1oAAmbazF6PfTCoBw8dxzz+Haa691Woz64j9CiBudFiKN+iGtAEhiSClzAcwB0M1pWSLB9OnTMWrUqHSwqBA4vV8uPrq4qZWEc7KtrnXWeFUPLI/eq3r0mEAg4BWgIhnrLPV2hF0Rfp2sOjnA0+wt/8ZpB766QX6x3odTfkm+o8duvfVWPP74406LkRSoqKjArFmzDIXA5MmTsXdvai4yu3fvbto20Llz56TxEDniiCPwyy+/xKz9/Px8C8Hv1q0bunXrhgYNGsSs31TBzp07DaXA6tWrMXPmTHz/fVLFFA6KZwe4cV1nd4CUa63rMFuvabrKU551PHq/HUl20UY0HgASZqKvLPQ6mAIL0o6VF4L51gTdaQM6TwFdmvI6sApkVYxQWVmbM7bUovjd1Pw2RxvnnXce3nnnnaT5vjMsBDBUCJF8i680AKQVAEkPKWU/ANMBZDstSyR48sknceuttzotRkLjoRMa4e4jG9bdBAugR63i1Lqv8xzQbRkweRAIa5qWxGsIvCGjjrBDr7yws/T7uFykvkauCydX453VyaNQatOmDZYsWYL8/HynRUlK+Hw+LFq0yBRHYP369U6LFRO0aNHC2DIwatQo9O/fP2EDRZ188sn48ssvo9LWCSecgO7du5vIfqtWrZJ1sZyweO211zBmzBinxThguAWw6QQPmmcicMyfCYTIAgGya2fZN/L8zNYSXV9T3+S2TxQFOmLNXeh1ngHBZLILIKjK2CkILONH3dpAt73BUHoweVQa79clMG97LQaMTysAQqFPnz6YNm0a8vLynBalPqhCHflf4LQgadQf6Zk0BSClvBTAa07LEQl8Ph9OPvlkfP31106LkrD48tJmOLFXNiPaEZB7lc+JtOHmT9wIvWF4EKhqtD2+x1/w+rwtUlfnCWCRgcrNlQ7SCAy4u0ai9xeV2FxBB5+4+PDDD3HmmWc6LUZKYd26daY4AgsXLoSUyfE+RIK8vDwjjsCoUaNQXFycMIqks88+Gx9++GFU2qqqqkJmZmZU2kojON59911cfPHFSe2Vd3wLgW9GMMWYds86YGvVDsczwLhGoAz3FqB1TbEBiFeA8rjjHgU6Qq/d8++vF6pfvk9f0EIwp+s8A1wisHXQ1JV6hkrJUSfP4l1e9HorrQAIhoYNG2LmzJno1i2pnHcpbhBCpMa5xQcx0gqAFICUUgB4A8BFTssSCXbu3IkBAwYkddToWGL+La3Qt2VGYFIOxwtAQUfSgUAkfUWeLVZ60o6PLHaUgkCl2/brv9fGGiD90PZ5f7ysdrz+/6m+JPDVZh9O+qUKiY6jjz4a33//fdqSGWPs3r0bU6dONRQCM2bMQFVV4r8fkcLtdmPgwIGmbQMtWrRwRJZTTjkFX3zxxQG3I4RAbW2tETU/jdjju+++w+mnn47y8nKnRakX3h3ixnltXRq3fxuyq/K4EoDXpcRYos7VgHrM2bnX834FL+AHPaLPTsGgG49Kp8EKVfu0DFVq8BMFBOxlVYp7F5PZBY3HAIxnuXKfD13e2IM07PHJJ5/gtNNOc1qM+uI7ACekj/xLfqRXoCkCfzyA6QD6OC1LJJg0aRIOO+wweL2pcaZ7NLHzn23QOMe/ALaNyI/AZK0ItBF0j+RxizoN9qcuKakGaVPA7GFg9CFs2iWNStaX6oefSKDapGKpEw14XUHzzM/mr79X49MNifsuZWZmYsGCBcms+U9aVFVVWeII7N6922mxYoKuXbsayoATTzwxbsdLHXXUUfjpp58OuJ28vDyUlpZGQaI0IsH06dPxl7/8BTt37nRalIiQ5QJ2nuBBnptY2QErIecWc8rFqZXdYjUP4hlg3BNlge4oQOYIYLLE21nf+R5+O3n4iQE0SCB/HrZbC5QM3FuAjZEKpJF3w34v2r2W9gCww+23345HH33UaTHqi+0A+gkhtjgtSBoHjrQCIIUgpewBYCaAxPAHDRPPPvssbrjhBqfFSChkZwiUP9QWwgV7y7/S+Nsdo2fsoyf1jHKkQXpPCXw4x/XxPNWvSV5Wnpah49HWZYqOYCcfSODnLV4c+UviHoF1zz33YOzYsU6LkQbqtiEtXrzYtG1gzZo1TosVdWRmZuLcc8/Fgw8+iKKiopj2VVJSgunTpx9wOy1atMCWLek1phNYsmQJjjnmmKSKqdGngcCCw/3HN6q5wrCMw4bQchLtJ7cSwd3qdYoAi6KB9aU7UtAij2pDmK3wJuJN8jm4twKVmfbNlQ12Lv5CUxewxjNQ4/XX2VYu0eLVPRoB0zj88MPxww8/JGwMlzBwkhDiK6eFSCM6SCsAUgxSynMBvOe0HJFASomrr74a48aNc1qUhEGXphlYfnsrK+nmTle2VnN/os6ab/IIQIBYc9INTZuWQIM2SgTqgcDbpvLYjSUY2aeyaNrq8XUVlu7nD8p5tG/fHn/++WdKnfueatiwYYPp+MF58+alTByBtm3b4n//+x969OgRsz769u2LhQsXHnA7nTp1wsqVK6MgURr1wYYNG3Dcccdh0aJFTosSFk5tKfDpUBdMlmlKdCmRpuRYge+xt1jkhdXKDpgJsineAGlEt9WLKyKUWz1XGtD2TH3rlASsLqAfE83XjYXLGSqfKRz2VAOF/91jLXuQo3Xr1pg9e7Zj27OigBeFENc4LUQa0UN6g12KQQjxPoCXnJYjEggh8Oyzz+LII490WpSEQfM85foPM4k30qTZ5V/9laSSqkuP8PNJKyG3I/9cSQCertpU14T8B7P069qkMgjUxRzgY4Y/ncpM4xj4y13e2Y1ExLPPPpsm/wmOtm3b4uyzz8Zzzz2HOXPmYPfu3fj2229xzz334NBDD0V2dlIdtmLChg0bcPjhh8fUtT5abSdpZOyUQdu2bfH7779jxIgRTosSFrrkwjwPKaU1nWu44lvNHz4E5kgfywdpl85JkrbnJ/kmBTtIW5LNq2DXMtCHqV9Sj89zCCKvqqvzxFNzLn8OfJ0gNX0b8khzvjC3k5neGm5BRkYGJkyYkMzkfzGA25wWIo3oIq0ASE3cDGC200JEAo/HgwkTJqB79+5Oi5IQWLK9FnvKyF52S0A8/pdNunQxpMpJwMS6eRsKAmaSTxc7gDVdsHaMxQqrq8rShYaqR10T6UKKj50fRQQ+RomLO7iRnWA6gBNPPBEnn3yy02KkESEKCgpw3HHHYezYsfj111+xd+9eTJ06FY8//jhOOeUUNGnSxGkRI8KWLVvwwgsvxKz9srKyqLSTKKcaHMyoqqpCt27dkiJYaReqV/UBxtY4GpQWMBNyNQ9RbzPAnGdRRPvnG9oeJe+cdPMy/NQcQ2aiRLCQc2kdi1JcqDnQUGCo8RN5ucLc7jmofK80y2faosdkp2P2t53m/1Y8+eSTSaNM06AawHlCiOSMDpqGLRL/y55GvSCl7IQ6JUCB07JEghUrVqC4uBi7du1yWhTHUVKUiR8ua4YGmdAQcHIPmIPlGVZ4OunrFAiSKApgnvDpve4UgaB7/v1M305hwMk/78NO6cBls9tOIIEzptTg442miISOITs7G3/++Sc6duwY97537NiBDRs2oEmTJmjevDmysrLiLkMqQ0qJpUuXYuLEica2gVWrVjktVlAUFRVh7dq1MWk7NzcXFRUVB9zOUUcdhf/9739RkCiNSFFaWorHH38cTzzxRNKcCPBTiQtHNIZZIQ1o9tPbuOXzOjyNp1Oltyk+AL1n9bVHEgpzW8aJAKxP1Z5ufLaySn2ZYH3zfFqPyq5jDv7yWyskWr6xV1Pg4MS5556Ld999NykUaTYYI4RIqmPG0wgPaQ+AFIUQYhWAi52WI1J06dIFH3/8cTIHSYkapq2rxl/e2I6yKqWBF8FJNNfwG9YArjhAwFqga0P1Q9NB29K1p8pTKwX5T0foDTlkoK4pcKEd2Sf9aMg/APQrSJzJ9u677447+X/vvfdQUlKC5s2bY+DAgSgqKkKDBg0wevRo3H///fjll19QWVkZV5lSEUII9OjRA3//+9/x1ltvYeXKldi4cSM+/PBDXH/99Rg0aFDCHWW3fv16VFdHP1Dm/v37o0L+gbQHgBOora3Ff//7X3Tp0gUPPvhg0pB/AMjh+/3pvMXnPTVn6LYDGGVYHq3jk3VWch9vn86NbJ4D9DFtVHvUgs/nVNMWPwnz2GTgPxNIOTpuYxwkj3rcqe0Qpn5hLU//suezvYLLcvBi4MCBePnll5OZ/L+SJv+pi6R9K9MID1LKJwDc4rQckeK1117DmDFjnBYjIXBk5yx8eWET5GTA3hKuFj+U1NOJXhcAkJazuzbcEkm/RhG+SGITP10kCFaGLi6ot4KqR9um/RrjlIFYATQoob/sh+t8OHtGLZxGly5dsGDBgrjtHa+oqMDf//53vPvuuyHLZmVlYfjw4TjssMNw+OGHo7i4OO0hEAPs378f06ZNMzwEpk2b5ji52rBhA9q0aRPVNufMmYNBgwZFpa2//e1veOutt6LSVhrBIaXEV199hTvuuAOLFy92Wpx64dNBAqe2CBJsT80NbmGej1y8sJpPwIIFkiCAvB4ld9SCLxEI8CcDzWjr6eTRnSagyuqs9EaaP0EbJJCM0c6LgRblEKwMK1fuBY78sgzTtibuUbzxQps2bTB9+vSof2fjiJkARgshqpwWJI3YIK0ASHFIKT0AfgMw3GlZIsVtt92GJ554wmkxEgJHd8nCJ+c2Rr6HJHISTdN02n+wa3VPo/XTOsa1/4ISck7+ucWB9qXrmwYQtLNW8HHyey4nyVuwV6LfjzVwGt999x2OPfbYuPV300034ZlnnqlX3ZycHIwYMQKHH344Dj/8cAwZMgSZmZnRFTAN1NTUYM6cOabjB7dv///27js8yirt4/j3pBcgBJJQpIUiIFVUpAkoogJrowjWXXWXXV0LKhawrOAq8oIodkQElAVBkKZIrwEEQZBeBOmI9GIIkMx5/5jMMJnMJJNkZs6U+3NdY6Y8c55fAJO5z3PKUb+dPzk5mWPHjnl9ZMKkSZPo2bOnV9rq168fb731llfaEu6tWbOGvn37smTJEtNRSqRvumJIPQ8+zkY4Fc427gpzx9eV0xMut8NzLsptd3KrbJW3CZf5XOVy1RngWIw7F/oOMwBcbu/n6oHj91hQR4Bt20DblAaACDh3UXP7nPMsPmS+4920xMREMjIyaNq0qekoxXUMaKaUCp69QEWRSQdAGNBaVwXWAUG1YlVOTg5du3ZlxowZpqMEhOZVovn+gXKkxEdgn2fvOEze3ZaArq78u7rv+DjPVn+5jTqPLnB8r230gbv3OhXo1vsOYS0On16c27bRTu3YzmNrxuGcF3I0CTMu5es78Cd/X8VcsWIFrVu39lp7CQkJtGnTxt4hcM0118jUHB/QWrNz5848HQI7d+702fn+8pe/MHPmTK+3+9Zbb/Hyyy97pa0vvviChx9+2Cttifz27NlD//79mTBhgukoXhGp4KsminsrefiR1n7F3eF453nxtuOci+Q8T7m70p4r39aAjm07FO+Oz2mdf1tC5yy2UXOu5vc7n9+xIef28mV27rxwaMfi7s8HTl+CTj9kslKu/BMREcH06dP5y1/+YjpKcVmAjkqphaaDCN+SDoAwobW+DZhFkP2dnzt3jtatW7NhwwbTUQJCvZQo5jxUjmplIl2vlu/qCrrzFXx3iwk63nc5NN/5Sr1Du+ByLr7LYf+uRhU4nsu5PXsHg4ti3zGXYycEUGtuNrv/NNMDULlyZTZt2kRycrLfzvnUU0/xwQcf+Kx92xoCN954I+3bt+fqq68mMjLAtlsIEUeOHGH58uX2xQXXrVtHTk7JP1xHRESwcuVKmjdv7oWUeT388MOMGTPGK20tXbqUG264wSttictOnjzJm2++yQcffOCTdSBMG1hH8UptVfQPOa6G1Tu+BpeLX4er3oBDEe1QHLsq9l0W87aObFwW1vYstk4BV7kLGlngfCXfNqUvwuFAV50a5J7PcXQhuByhcCJLc+vs86w5JsU/wPDhw3nqqadMxyiJF5RSQ0yHEL4XVMWgKBmt9RvAK6ZzFNW+ffto3rw5R44cMR0lIFQpE8ncB5OpXz53UQCXxbbtidxf5gVdvbcdiuP79eUPC47t2otsp2NxasfxeVdD+G1t5zmnUwZbe67ebz+/i+8v95irF2Wz/rSZDoBZs2bRqVMnv56zcePGbNy40W/nS0pKom3btvYRAo0bNw64Be9Cxblz51i1apV9hMDKlSuLteXeSy+9xKBBg3yQENq0acPy5cu90tbhw4epWLGiV9oS1i39PvroI/773/9y8uRJ03F86qErFCMbKmKK+6OooGkCeYpkp+c1eQt9+8g7h2OcOxlcZnRT0DuODnDxFrer99vea//+yDs9AC6HdBwVYB/i79Cm42vAH+ctdJx9ng0nAmPHHdOefPJJ3n//fdMxSmIycI9SspljOJAOgDCitY4E5gE3ms5SVKtWraJdu3ZcuCDrkQCUi49g1n3JXF85ynXR7bgVn+MVdBdXyvO8L8992/sdrry76lhwnodva8OxU8H24cTlrgQOBX1Rpg84f29O56gxL5u9BtZae/TRR/n888/9ft709HT27Nnj9/PalCtXjnbt2tkXFWzQoIF0CPhIdnY2v/zyi71DYNmyZQV2kMbExDB06FCeeOIJn61IXbFiRa900pYqVYozZ84E88rZAUNrzcSJE+nfvz+//fab6Th+064cTGkWQfnowo91y1Zo2zu/HQpze1HvbrSAU1uuts6zPedyaL2tGHd4zXGUQEHbA7qdPuDUvu15d50aee7nf+3Qec3Ns8+z9ZQU/wBdunRh+vTpwTwqbitwvVLqrOkgwj/kN2yY0VpXxLoeQNBdXvn666+59957TccIGAnRim97lOXWWjGu5/+D+yv/eY51eq6wBQCdRw7YpiLY5vE7X8HPs6WS49V/h3Yc23LM6qqzwmWHgHNbmjLfZ3PWz+sRVa1alY0bN5KUlOTfEwOtW7dmxYoVfj+vOykpKfbOgBtvvJF69epJUecjWmt2797NsmXLWLZsGbt27eLMmTPEx8fTuXNnevTowZVXXumz8x89epS0tDSvtNW0aVPWrVvnlbbC2dKlS+nbty8//fST6ShG1EqAmddEUN+bO0o6F+DOV/sdi2VXQ+sjyDus3nl4vW1xPef3ORfkDn30BXdCuBgN4Hyc4/eTp01bp3r+73NfpqbDnCx+PSPFP0CTJk1YtmwZpUuXNh2luM4CzZVS20wHEf4jn8bCkNa6PbAANwPQAtnrr7/OgAEDTMcIGFER8OUdSdzbIDZvwe68+B/kL5ydi3NyHyvH45yvyDu8J9/93P+4PI9DLmzZdAEdFC5GL9g4dibYrp5A7paA1ucvWiB2pv9XI543bx4333yz388LJdsBwB8qVKiQp0OgTp060iEQIiZPnkyPHj280laPHj2YNGmSV9oKR9u2bePFF1+UxXOBMlEwsanitlQv/ZxxbMZxFICrK/T5CnXntly8z/a8q/O5G+bvamSAq3O5mx7g2LYj+8J/edvefU5z09zz7D2nEdb1flatWkWVKlVMRymJbkqpb02HEP4VdAWgKDml1GKCcC0AgP/85z/06tXLdIyAkW2B+6ad5v3V5/NeAXcs/m0Fs0UXvIWe7Y6Fy8W/RV9+bJsOYG/Xqfh3Ppe9WefzkLf4d55m4JjN8X3OORyH/dvfb83w2lb/X5n417/+Zaz4B3juueeIji7JmFffOnLkCBMnTuRf//oXdevWpUqVKjzwwAOMGjWKXbt2oR3/zkVQ8eY2cnXq1PFaW+HkyJEjPPbYYzRs2FCK/1xnsqHLWs3wPRqv/HTRDjfbY8c1aRx//+XYRrk5Pe/yPnl/9zn/fnV1LnD4Her8Xqf2HX8/2o63cezwt/1etT12nPKAZttpC21nS/Fvk5CQwMyZM4O9+H9biv/wJJdfwpTWOgKYCXQ2naWozp8/z4033siqVatMRwkor7ROYOANidiXb3FeENDxd3a+KQPkLe7tHQhOxzsfi/N9h/Pma9fpWMeMtg8s7rb2cz6PYybHWl9rFh7T3Lwixzsf+DxUo0YNNmzYYHwI4KBBg+jfv7/RDMVVtWpV++iAG2+8kerVq5uOJDzkzQUox44dy0MPPeSVtsLBn3/+ybBhw/i///s/zp07ZzpOwPpHVcWHV5VgcUB3XF3Fh8u/yyKUwxV4pzdEOLxXk3foPeS9+u64AKDj+Zzn8Ds+72pnA3ef+vNNPXA4N7DsDwt3Lr7AyYtS/AMopZg2bRp33HGH6SglMR+4TSklWziEIekACGNa6/JY1wOoajpLUf3+++80b96c/fv3m44SUHo3jePjW0oT6TwUP8/iei4KbMcPIeDmWKfHzm3na9Phg0Keq/0OgZ23LnTM4dw5oLn8gcn2uv381gN/Pw9Nl2RzxM9rRS5atIj27dv796RuBHMngKP09HT7loM33nhjsF9lCVnHjh0jNTXVa+1t2bKF+vXre629UJWTk8OYMWN47bXXOHTokOk4QcEriwN6wnknAcffrbbHcHkagPPzjtwtIOjqPXmOU5enHuTpMHDI5mptARfTASbty+GhFRe5IFP+7d5991369OljOkZJ7AOuUUodMx1EmCEdAGFOa30dsASIN52lqH755Rdat25drO2wQlnXK2P4X5fSxEU5FObOW+w5r/QPlwttnI51NRLA1RZ8rhYSdD637W3Oi/YVNDWhoJEDDusU5Gi4dWUOC4759wpFIG79s2nTJoYNG8bXX3/N+fPnTcfxitq1a9tHB7Rv355KlSqZjiSAqVOn0rVrV6+0lZaWxu+//y5rQxRAa83s2bN54YUX2LRpk+k4JCYmBtXv4Jq5iwNe5c3FAQvi6fx+2x3bCAULeUcIOL7X1hme5zwuCn5757xDsR+h8v5+drltoO00imHbsum77lJh32VYefzxx/nwww+D+efUBaCNUmqN6SDCnKD91yu8R2vdDev+n0Fn5syZ3HnnnTJ/2MmN1aKZdlcZysSQv0CH/FfdbU9anF53lOOmwHccNQCXpxw4Dc13eZzjdANwsXCgw/EuOxYun2fgDgv/2e7fSxS1a9dm/fr1JCYm+vW8nrpw4QKrV69m0aJFLF68mBUrVoTMVpr16tWzjw5o376911ahF0XTp08fhg8f7pW2unfvzjfffOOVtkLRunXreP7551mwYIHpKJQqVYq2bdty8OBBfvnlF9NxiqR0FHzdVNHZW4sDFoXzgn35nnfxep6r9w7PuZt2YBPparU/3HQ+kGcLwRwNz6y7xAc7ZHS4o06dOjFjxgyioqJMRymJvyulRpkOIcySDgABgNb6JWCQ6RzFMXToUJ5//nnTMQJOs7QofuhWmrT43EsF7ob1O76myLvtnm1bIotTce9qCoDtarztdY3TfVx3BDhe6Xc3AsHVLgAObS86pumw0r/z/pVSLF26lDZt2vjxrCWTlZXFjz/+yKJFi1i0aBE//vgjly6FxtWdBg0a2EcItGvXjvLly5uOFPK01lx55ZX8+uuvXmnvgw8+4IknnvBKW6Fk3759vPLKK4wbN854Z3dERASNGjWiefPmREdHM3PmzKCcihehYGg9RZ8ayv8fhN11Atg4X/nXTs+Rez/CRSeB83B/22vOowZcbfGXK9OiuP/HS0w7IMW/o8aNG5ORkWF8rZ8S+kwp9U/TIYR50gEgANBaK2AU8LDpLEWltaZ37958/vnnpqMEnNplI5nbtTTpSREOWwPq/AW5qwIdXG8ZCG6OcfG6uy0IXbXtfN/2uJBRAUcuWOf9/+7nC9vPPvss77zzjn9P6mWZmZmsWLGCxYsXs2jRIlavXk12tv+3T/SFxo0b2zsE2rZtS3JysulIIWfVqlW0aNHCa+1t3LiRhg0beq29YHf69Gnefvtt3n333YAYuZOWlkb79u1JSUmxPzdmzBgyMzMNpiqZR6soPm7gg8UBPVXQvH97JwAOV/5z35BvAUGn153bdpzz7+49Co5maW7PyGbVCZnw76hSpUqsWrWKqlWDbsksR6uBtkop8z9MhHHSASDstNYxwFygneksRZWdnU2vXr2YMmWK6SgBp1JiBHPuLk2j8pHWJ5y2zMs7t57L2wGB9YNBjnZ6n+PxOv+oANsxbncKcDivbT0Ax/c4n8PVIoa5r+dYNLf9aGG+n+f9161bl3Xr1hEfH3RLZxTo3LlzLF++3D5lYM2aNeTkBP9VIKUUV199tX26wA033EBSUpLpWEHvySef5MMPP/RKW+XLl+ePP/4gIkJ2J7548SIjRoxg4MCBHDtmfo2umJgYWrRoka9z5sKFC4waFfwjiW9Iti4OmBpjOIjtir9tCz6X0wAcHjh3EtiPdZj77+5/J+edBYCdf2o6ZWSzS7b5yyMxMZElS5ZwzTXXmI5SEkexLvoXfMN1hE9IB4DIQ2tdDvgRCLrNmC9cuMBdd93F7NmzTUcJOGVjFTPvKEWbSlEeDM13egyXi3TbFAHbe/Kt7p/7ocM2t99SQFvOV/udh/m7G/bvcGHijR0WXvPzvP+IiAhWrFjB9ddf79fzmnDmzBkyMjLsUwbWrVuHxRL8V4YiIiK45ppr7CME2rRpQ6lS/loVLDRcunSJypUre61Avfvuu/n22/DejlprzZQpU+jXr5/XplWUVK1atbjhhhtISEjI99qhQ4eYNm2a/0P5QI146+KADQNxdHeeBfwcnsszNcDV/H6HHgIXQ/0d3/PjSc3tyy9xTK4N5xETE8OsWbPo0KGD6SglcQnoqJRaYjqICBzSASDy0VrXwdoJUM50lqLKzMykU6dOLF261HSUgBMXqZjYKZE70nMXr3Fc8K+wDgHH1129ZmvP1XaAjpxX/8+3JoDTlX7HnLb351p0zMLNP1ry9BP4w0svvcSgQUG5XEaJnTp1imXLltk7BH755Rfjc5K9ISoqiuuuu4727dtz2223ccMNNwTzCs9+8d1333H77bd7rb3hw4fz1FNPea29YLNixQr69u3LypUrTUcBoHTp0rRt25bq1au7PWbTpk0h9bu2dBRMaKroYmJxwIK4urpf2Px+5/fbh/yrfCMGph6ycN+aHLKCf7CXV0VGRjJlyhTuvPNO01FK6kGl1DjTIURgCbCfciJQaK3bAfMAX++Y63VnzpyhQ4cOrFkjO5w4U8BbLeN48Zo4lNuCXzusF+DiNXtx7jAx0XEagO1121BGyLuYoMvi3kUHhI2tbdt9ra3z/pfm+H3ef4MGDVi7di2xsbH+PXGAOnHiBEuWLLF3CATCtmTe0LhxY1555RV69OhhOkrA6tWrFxMnTvRae1u2bKF+/fpeay9Y7Ny5k379+gXM9LWIiAiaNGnCddddV+hK50uWLGHz5s1+SuYfCvi/eorn0g0sDugpV1fx4fJoAMfnbev+OC76Z59GoPlgt+bpjf5dQDcYKKX46quvuP/++01HKanXlFJvmA4hAk/A/nwT5mmt/waMNp2jOI4fP0779u1DpiDxtp51ohnVPoHEKFzPvXe1Qr+rq/v2fgA3BXy+97l47NxxAHk7IBzXF7BocjTctsr/8/4jIyNZtWpVsM8D9KmjR4/m6RDYunWr6UglMmTIEPr27Ws6RsA5ffo0FStWJCsryyvtNWzYkA0bNoTVqIudO3fy3//+l//9738Bs85GxYoVi7SDxtSpUzl8+LCPU5nxcBXFJw0UsYG+JIXzWgGOz2s3ryvrr9gXNlt4Z1fwT+nyhU8++YR//etfpmOU1BjgEaWU9O+IfIJ6I0vhW0qpMVrrK4F+prMUVfny5Zk3bx433HBDwMylDCQTd15i28lzTLs1gRqlXXzC0c5fXRT/rkYI4PRYOxX3tg8iznP6HT+f5Blc4NSxAAz6Vfu9+Ad49dVXpfgvRGpqKt27d6d79+4A/P777yxevNi+y8COHTsMJyya559/nipVqtCrVy/TUQLKxx9/7LXiH+CBBx4Im+J/27ZtvPnmm4wfPz5g1tOIjY2lRYsWNGjQoEjvO3HihI8SmTf6gGbnn5pvA2FxwII4/p50HurvOK3O4bUsi+KhdTl8c0jqQlcGDx4cCsX/AuCfUvwLd8LjN64oNq11BDAR6G46S3Hs3buXG264ISj3KfaHlDjFN7ck0L5ipMMCfzrvvHvHgt/iUJA7FumFLfbn2I7tPbYG8i0q6Hg+8nQ0zD6q6bLa//P+b7zxRubNm0dkZKR/TxxiDh48aO8MWLx4Mbt27TIdqVD16tVj06ZN8nefKzMzkxo1anD06FGvtblv375g316rUFu3buWNN97g66+/Dqh1M+rUqUObNm2KvKPJuXPn+PLLL32UKnBUz10csFEgLg5YEDfTBI5chG5rLCw/GTj/BgNJ//79efPNN03HKKktQGul1CnTQUTgkg4AUSitdQKwGLjOcJRi2bFjB23btuXIkSOmowSkSAXvtozjiQYxKFer8rtcJ8DhGOet/GzHQt6FAd2269CO83MO79l6Dlosz+GMn7epT0tLY/369VSqVMm/Jw4D+/bts3cILFq0iL1795qO5NL8+fODfRVor3n//fd5+umnvdZe+/btWbRokdfaCzSbN2/mjTfeYNKkSQFV+CclJdG2bdtid7zs27eP7777zsupAlOpSBjfVHF7WhB+ZLZNAdCa1aeh61oLB703eCekPPHEE7z//vvBPhrpd6CFUiowf5mKgBHU/8qF/2itKwKrgaC8TLNx40batWvHyZMnTUcJWI/UjebjVnGX5zzm6wxwvGKvybfqf56vLjoSLNr+QcR+Zd95qz/be53WBDh+EZpn5LA7s+TfZ1EopZg7dy4333yzf08cpn777Tf76IBFixZx4MAB05EAGDlyJH//+99NxzDu4sWL1KpVy6t/L59//jmPPvqo19oLFBs3buSNN95g8uTJAVX4R0REcPXVV3PttdeWaFTLunXrAmbHAn9QwOB6ir6BvDhgAUYd0Dy+WXMxMGadBJyHHnqI0aNHExER6Is+FCgTaKeUkhWwRaFkDQDhEaXU71rrvwDLgaDbMLtRo0bMnj2bDh06cO7cOdNxAtIX2y+x5aSFKTfFUTnB4SOOBafF+5y+2rias+9yMUHyP+d4rNPOABct0G2N/4t/sM77l+Lff9LT00lPT+eRRx5Ba82uXbvsowMWLVrE77//biTXH3/8YeS8gearr77yavEfGxtLt27dvNZeINiwYQMDBw4MmFX9HVWqVIn27duTnJxc4rZCef6/Kxp4YZtm81kY0TAIFgfMddECT2/VfLovcDqhAs3dd9/NqFGjgr34twC9pPgXngrGjkxhkNa6MzCTvLvOBo0lS5Zw2223eXUBq1BTKUExtUMc15ePxF6d2+fiu1kfAFxcwXcxCsB2nOM0AFeLGOW+X2vovcHC5/v9/+Glffv2zJ8/X+Z+BwitNTt27LB3BixevNhvhfn06dO54447/HKuQJWdnU39+vW9uqhqjx49mDRpktfaM2n9+vUMHDiQqVOnmo6ST1xcHC1btvTqNouTJk3i2LFjXmsvmLROhm+bRZAWyIsDAocvQPd1FlbIwEe3OnbsyMyZM0Nha98nlVIfmg4hgod0AIgi01o/BQw3naO4fvjhB+68804uXbpkOkrAiomAT1vG8nDt3EFCLtcBcCziC7jy725xQPt95XYngfd2W3hmq/+Lf5n3H/i01mzZssXeGbB48WKOHz/u9fNERERw/PhxypYt6/W2g8mIESO8vjL2jBkzuP32273apr/9/PPPDBw4kOnTp5uO4lLdunVp3bo1cXFxXmvTYrEwcuTIgNm+0ITq8TDjmggaB+jigCtPQbefLRy+YDpJ4GrVqhVz584lMTHRdJSSelcp9azpECK4SAeAKDKttQI+AP5tOktxTZ48mZ49ewbMNkyB6sn60bxzbQzRtqv/jov/2eTpAHAs7h0OcJzT77gOAI4dCnnbnvWHhdvXaL+v+K+UYs6cOXTs2NG/JxYlYrFY2LRpk32EwJIlSzh16lSJ23322Wd55513Sh4wiB09epS6det6dQ2V9PR0du7cGbQjbNasWcOAAQMCdiG8lJQUWrduzRVXXOH1tg8fPhyQIx38LTES/tdEcWeFwPoo/dl+zRObNZdk1L9bTZs2ZdGiRaHQsTsV6KGUCt/eOFEsgfVTSwQNrXUU1qkAt5nOUlxjx47lb3/7m+kYAe/GipFMahtDSoy6XMDbtgN0Nec/z3oBXP6ab44/Tqv/X37P5jOalissnPXziv9gnfc/cOBA/59YeFVOTg4bNmywdwgsXbqUM2fOFKmNq666ijVr1hR5i7RQ88gjjzB69GivtjlixAh69+7t1Tb9YfXq1QwYMIBZs2aZjuJS6dKlad68OXXr1vXZOdauXcuqVat81n4wUcCguooXappfHPCCBZ7cohlpYMpcMKlbty5Lly4lLS3NdJSS+glor5QysEKSCHamf16JIKa1LoN1UcCGprMU10cffcQTTzxhOkbAq1FKMe2GGJqUj8wt/p3m8DtvBehubQDIe+XfsRMh9+7RLM31Ky38ZuBXmsz7D13Z2dmsW7fOPmVg2bJlBS4I2qNHD0aMGOGVBdOC2fLly2nTpo1X26xcuTK7d+8Oqnm3P/74IwMGDGD27Nmmo7gUGxvLNddcQ+PGjX2+mNnMmTPZv3+/T88RbB66QjGioSLO0OpIB7Og2zoLq06ZOX+wqF69OhkZGVSpUsV0lJLag3W7P9nfWhSLdACIEtFaV8e6PWDQdqW+/fbb9OvXz3SMgJcQBaNbxHBPtUinK/q5owJy9OWfKI5b/eVbI8BpJIBDZ8LFHM3Nqy0sM7DAtMz7Dy+XLl1i7dq1LFq0iLVr13Ls2DEyMzNp06YNXbp04aabbgr2/aBLLDs7m2bNmrFx40avtjts2DCeeeYZr7bpKytWrGDAgAHMnTvXdBSXoqKiaNSoEc2aNfNLh4rWms8//1zW0HGhZVmY2iyCCn7u18o4aV3s74jM9y9QxYoVWbZsGbVr1zYdpaROAa2UUltNBxHBK7w/3Qiv0FpfDywGvLfKkJ/179+fQYMGmY4RFPpdFcUbDaOIdPzp4Tj033FKgONruHjd4TUNPLrBwmgDwxdl3r8Q+b377rs8+6x315ZKSUlhz549Ab/wVkZGBgMGDGD+/Pmmo7iklKJu3bo0b96cUqX8tzPvH3/8weTJk/12vmBTNc66OGDTMr4/lwY+2ad5eosmW0b9Fyg1NZWFCxfSsGHQDli1uQTcopRabDqICG5BuZWbCCxKqVVAV6w/mILSm2++yZNPPmk6RlAYtCWbOzMucvpi7lQAV/P97YsG6svb/uVZzc+5lwCG7TJT/AO8/PLLUvwL4eDXX3/ltdde83q7ffr0Cejif+nSpXTo0IEbbrghYIv/6tWrc88993DTTTf5tfgHOHjwoF/PF2z2Z0HrHy1MO+Lb32VZFnh0o+bfm6X4L0ylSpVYsmRJKBT/AI9I8S+8QUYACK/RWncDJhGkHUsWi4VHH32UMWPGmI4SFGqXUoy/Pprryqn8UwJsXM7/J9+ogCmHNT3WaUx8jmnXrh3z588nKirKwNmFCDxZWVm0atWKdevWebXdMmXKsHfv3oBceXvx4sW8/vrrLFmyxHQUt9LS0mjZsqVPVvb31KxZs9izZ4+x8weTt65UvFTL+4sD7s6EnustrDnt5YZDUNWqVVm4cGEoDPsH+I9SSlYoFl4RlIWaCExKqSnAI6ZzFFdERAQjR47kgQceMB0lKPx6TtNq4UUGbc0mx37Vn9xt/nIPyjMKwPG5y6/NO6q5d72Z4j81NZXx48dL8S+Eg759+3q9+Ad48sknA6r411qzcOFC2rVrx4033hiwxX9SUhK33HIL3bt3N1r8g3ULQOGZ/js0D/6iyfLibsP/O6RpulyKf0/UrFmTpUuXhkrx/ynwhukQInTICADhdVrrfwMfms5RXBaLhaeeeoqPPvrIdJSg0S5F8dV1UVS1rQLhchQAebf905qVJ+Hm1RYyDexgq5Ri9uzZ3HLLLf4/uRABavLkyfTo0cPr7aalpbFjxw6SkpK83nZRaa1ZsGABAwYMICMjw3Qct+Lj47n22mtp0KCBz1f298SxY8eYNGmS6RhB5/qyMK1ZBBVLsDjgmWx4Yovmq4My3t8TdevWZcGCBcY7zLzkK+BvSikvdiWJcGf+N4oIOUqpj4CgXVY/IiKCDz74gJdfftl0lKCx5Jim8fxLfHPQcvlKP8rpqr/DFAGt2XAWOq8xU/wDvPHGG1L8C+Fg165dPProoz5pe+jQocaLf601c+bMoU2bNnTs2DFgi//o6GiuvfZaHnjgARo1ahQQxT/AoUOHTEcISqtOQfMVFtadKd77V5+Gq5dbpPj3UMOGDVmyZEmoFP9TsM77l+JfeJWMABA+o7V+E+hvOkdJDBkyhBdeeMF0jKDycLUIhjeKoHQUuSMBVL45/79mQpuV5rYtuv/++/nqq6/Cfps3IWwuXLhA69atWbt2rdfbbtu2LYsXLzb2/9vFixeZPHky7733Hj/99JORDJ6IiIigXr16NG/enISEBNNx8pk9eza7d+82HSNoJUTCV00UXSt49v9Bjob/2615bacs9Oepq6++mrlz55KSkmI6ijf8ANyllLpoOogIPfLpV/iM1loBw4GgXl5/5MiR/POf/0Rr+Q3sqVqJivHNImhuu+DnUPwfzLIW/3vOm8nWokULFi1aRFxc0O5aKYRXaa35+9//zhdffOH1tqOioli3bp2RFbiPHTvGiBEj+PjjjwP+6nV6ejotWrQgOTnZdBS3vvjiC7KyskzHCHr/vVLRv5DFAQ9mwYMbNIuOy+cOT11//fXMnj07oNYZKYHFQGellKFPSiLUycpXwmeUUlpr3QcoDfzNbJri+8c//kGZMmV44IEHyM7ONh0nKOz6U9MqI4cBV0bwUi1FpAIsmuOX4JbV5or/qlWrMm3aNCn+hXDw2muv+aT4B3jmmWf8Xvxv2rSJ4cOHM27cuIAvWCtWrEirVq2oWLGi6Sh2jiM1bPdPnDgR8H+WweKVHZrNZ2FUI0V8ZP7Xpx/RPLJRcyJoN1b2v7Zt2/Ldd99RunRp01G84UfgDin+hS/JCADhc1rrSGAC4P2Vpfxo1qxZdOvWTT4EFdEN5WBc4wiSY6DDKgs/GVq9ODExkeXLl9OkSRMzAYQIQJ9++imPPfaYT9quUqUKW7du9cte9RaLhe+//57hw4ezYMECn5+vpJKTk2nRogXp6emmo7gs+J3v//LLLyxdutSvuUJd8ySYdk0ElXIXBzyfA89t03yyT676F8XNN9/M9OnTA3LaTDGsB25SSp00HUSENukAEH6htY4BpgKdTWcpiaVLl/KXv/yFs2fPmo4SVJKioEq8YvNZMx9slFJ8++233HXXXUbOL0Qgmjp1Kt27d8di8c36UpMnT6Zbt24+advm7NmzjB49mvfff59du3b59FzekJCQQPPmzalfv77f10QoqNDXWhf4+pQpUzhw4IB/goaRK+JgxjURRCvotd7ClnOmEwWXLl26MHny5FAZ1bcVaKeUOmo6iAh90gEg/EZrHQ/MAtobjlIia9eu5bbbbuPYsWOmowgPvf3227z44oumYwgRMDIyMujYsaPPRjR16dKFmTNn+qzI3b17Nx988AFffPEFZ84Uc3l1P0pKSqJp06bUq1ePyEgX4759wPnP3va4qMV/ZmYmI0eOlHVwfCQ6AtBwSf54i6Rr165MmDCBmJgY01G8YTfQVil10HQQER6kA0D4lda6NDAfaG46S0ls3bqVjh07cvCg/KwOdA899BBjxoyRFf+FyLVlyxbatGnDyZO+GWVaoUIF1q9f7/V57VprlixZwnvvvceMGTOCoiBNSUnh6quvpnbt2j79GeRJse/8uKDXbI+VUmzYsIH58+d7M64QJXLfffcxduxYoqJCYimzA8ANSqk9poOI8CGfiIXfaa3LAYuAxqazlMSePXvo2LEjv/76q+kowo1WrVqxcOFCYmNjTUcRIiBs3LiRjh07cuTIEZ+0r5Ri3rx5dOjQwWttZmVlMWHCBN577z02bNjgtXZ9qXLlyjRr1oxq1ar57ByuinlPC35P72utmTx5Mvv27fNecCFK4JFHHuGzzz7z20gaH/sD65X/7aaDiPASEl1nIrgopU5orW8BlgJXms5TXDVq1GDZsmXccsstbNy40XQc4aRatWpMnTpVin8hcq1evZrbbrvNZ1f+AV599VWvFf+HDx/mk08+4dNPP+Xo0cCfFquUonr16jRr1sxrox8ch+i7Ku7dvWZ73fFrQffdHX/+/HmZ+y8CxmOPPcaHH35IRESE6SjecBLoKMW/MEFGAAhjtNZVgQzAd5dI/ODEiRN06dKFH3/80XQUkSsxMZEVK1bQuHFQDzIRwmsWL17M7bffzrlzvltlrH379syfP7/EV+bWrFnD8OHDmThxIpcuBf5eaBEREdSpU4dmzZqRnJxc4vY8ubLv7jV38/s9Ge7v6v4vv/zC3Llzi/NtCOFVzz//PIMHDw6V6XxngQ5KqZ9MBxHhKST+LxLBS2tdG1gGBM4myMVw7tw57rrrrqDYfirUKaWYNm0ad9xxh+koQgQEf2xhmpqayvr166lcuXKx3p+dnc20adN47733WL58uZfT+UZ0dDT169enadOmxdrq0FbIaK2JiIjwqFj35DVvjgb4+uuv2bt3r+fflBBeppTi/fff54knnjAdxVvOA7cqpZaZDiLCl0wBEEYppX7VWncElgDlTOcprlKlSvHdd99x7733Mm3aNNNxwtrgwYOl+Bci1zfffMN9991Hdna2z86hlGLcuHHFKv5PnjzJ559/zocffhg088zj4uJo2LAhjRs3LtL2Y4UV687PFbVYL6xtx9X+PRk1kJWVxf79+z3+/oTwtvj4eCZMmMCdd95pOoq3XATukuJfmCYdAMI4pdQmrfWtwEKgtOk8xRUXF8c333zDo48+ypdffmk6Tlh67LHH6Nu3r+kYQgSEESNG8Pjjj2OxWHx6nv79+3PLLbcU6T1bt27l/fff58svvyQzM9NHybyrVKlSNGnShKuuuoro6OhCj/fG1fzCjnN8XNj7bXncbfvn/HX79u0+/7cjhDupqanMnDmT66+/3nQUb8kB7lFKyZwaYZx0AIiAoJRao7XuAswB4k3nKa6oqChGjx5NUlISH3zwgek4YeW+++7jww8/DJX5gUIU26VLl+jTpw8ff/yxz8915513MmDAAI+OtVgszJ07l+HDhzN79mwfJ/Oe5ORkrr76aq688kq3i48V5cp6Qce5a6uw9xTlfc4dAe7a2rZtm6tvVQifq1OnDj/88AO1atUyHcVbNPCgUmq66SBCgHQAiACilFqmtb4DmEEQdwJEREQwfPhwypYtyxtvvGE6Tljo0qULY8aMCZWVgYUotj/++IMePXqwdOlSn5+rVatWTJgwodBF/06fPs348eN5//33g6qoTEtLo1mzZtSsWdP+nKcFvu05T4f9O98v6XGedjC46zQ4f/68zP0XRrRs2ZIZM2aQkpJiOoq3WICHlVITTAcRwkY6AERAUUrNz90i8HugjOk8xaWUYuDAgZQtW5bnnnvOdJyQ1rZtW7755huPhuQKEcrWrVvHXXfd5Ze59PXq1WPmzJnEx7vuq83JyWHevHmMHTuWadOm+XQBQm+rWrUqzZo1o0qVKvbnPLmaX9AVeHdX2YsyMqCwc7h7X1E6BWz3d+zYIcP/hd917dqVcePGuf25EoSygXuVUpNNBxHCkYyVFQFJa30N1ukA5U1nKampU6fywAMPBM0812DSrFkzFi5cSFJSkukoQhg1ceJEHn74Yc6fP+/zc1WuXJkVK1ZQvXr1fK9t2bKFsWPHMm7cOA4dOuTzLN6ilKJWrVo0a9aM1NTUEl+ltz0uaRHv6hh3HQYFvdfxucKG/gOMGzeOXbt25XtdCF/p06cPQ4cOLfE2ogHkAtBNKfW96SBCOJMOABGwtNZXAfOBSqazlNT69eu54447ZEVlL6pbty7Lli0jNTXVdBQhjMnJyeHVV19l0KBBfjlfmTJlyMjIoFGjRvbnjh8/zoQJExg7dixr1qzxSw5viYyMpF69ejRr1oyyZcu6PKawgr2onQUFLcRXknO6W//Ek84C232lFKdPn+a9996TEQDCL5RSDBs2jD59+piO4k1/AncopRaaDiKEK9IBIAKa1romsACoYThKiR05coS7776blStXmo4S9KpWrUpGRgbVqlUzHUUIY/bs2cODDz5IRkaGX84XExPDnDlzaN++PZcuXWLWrFmMHTuW7777jkuXLvklg7eULVuWBg0aUL9+feLj44u10r4nz7t6XNT7zufxdDu/omaxPZ47d67f/k2J8BYXF8e4cePo1q2b6SjedBrorJRaYTqIEO5IB4AIeFrrKsA8oJ7pLCWVlZVF7969+eqrr0xHCVqpqaksW7aMunXrmo4ihBFaa8aNG8e///1vzp4965dzKqWYMGECV155JWPHjmX8+PEcPXrUL+f2lsjISGrWrEnDhg2pWrWq/XlPC2fH50q6EJ8n7ynK4+JMJ3D12qVLlxgyZIhfppKI8Fa+fHlmzJhBq1atTEfxpuPALUqpn00HEaIg0gEggoLWOg3rmgBNDUcpMa01Q4YM4aWXXkJrbTpOUClTpgyLFi2iWbNmpqMIYcSJEyd47LHHmDRpkt/OGRkZyT333MOmTZvYuHGj387rLWXLlqVhw4bUr1+fhISEPK95egXdk3nzJV18z/bYG50AxRmBAPDTTz8xffp0hPClWrVq8cMPP1CnTh3TUbzpMHCzUmqL6SBCFEY6AETQ0FqXBWYBLQ1H8YoZM2Zw//33c+7cOdNRgkJcXBxz5syhbdu2pqMIYcSCBQv461//ysGDB/12TtvWmsE2HzwyMpJatWq5vdpf3ALZ+f1Fmc/v+Li48/893TGguFMO3nvvPf744w+E8JXrr7+eGTNmkJaWZjqKN+0DOiilfjUdRAhPSAeACCpa61LANKCD4ShesXHjRu644w727NljOkpAi46OZurUqXTp0sV0FCH8Lisri5dffplhw4aZjhLwkpOTadiwIVdddRVxcXFFWjTP06K+pHPtizo8vyj3C9qe0Llt5+N37NjB6NGj8x0rhLfceeedjB8/Pt9InCC3E+uVf9/vvyqEl0gHgAg6Wus44GvgTtNZvOHo0aN07dpVFl1yIyYmhqlTp9K5c2fTUYTwu0WLFvHYY4+xfft201ECVmRkJLVr16ZRo0ZUqVKl0KK8uPPx3R1X0vO4O29Rphs4ntM2tcw2esOTNpRSjBo1ih07drh8jxAl9eSTT/Luu++G0jZ/AJuAjkqp300HEaIopANABCWtdTQwBrjPcBSvuHDhAo899phcfXESFxfHd999R4cOITHgQwiPHTlyhOeee47//e9/pqMErOTkZBo1akSDBg2Ij4/PM0/f3VB558dFXXzPk2H5jkV4SUYRlHTUgXOegto4evQoQ4cOlXVphNfFxMTw8ccf8+ijj5qO4m1rgVuVUsdNBxGiqKJMBxCiOJRSl7TWDwHngN6m85RUbGwso0aNokGDBjz//PPyIQxITExk9uzZtGnTxnQUIfwmJyeHzz77jH79+nH69GnTcQJOZGQkderUoVGjRvnm9jsX4bb7jgpbZM/VlXXH591dPXd+n+PVd0+mHBR0/qKOTijseFfPZWRkyO8d4XVXXHEF3377Lc2bNzcdxdsygL8opeSHtAhKMgJABDWttQKGAM+ZzuIts2bNolevXn7b3isQlSlThvnz53PdddeZjiKE3/z888/861//4qeffjIdJeAkJyfTuHFj+9V+m+IU1Y5XxIszh9+T8xS3kC/uMa6+NxvnqQDO7z9//jwDBw7k4sWL+TILUVxt27Zl0qRJVKhQwXQUb5sP3KWU+tN0ECGKSzoARNDL7QR4BRhoOou3bN68mdtvv53ffvvNdBS/K1u2LEuWLKFx48amowjhF6dPn+bVV1/lo48+CrrV9n0pKiqKOnXq0Lhx4wLn9ns6DN7dMZ4O/3d+XNQ8xe1g8GQ6Q3E7H7TWLF68mJkzZ+Z7jxDF9fTTTzNkyBCio6NNR/G2GUBPpVSW6SBClIR0AIiQobXuA7xrOoe3HDt2jG7durF06VLTUfwmJSWFZcuWUa9ePdNRhPC5ixcvMmLECN544w2OHj1qOk7AKFeuXL6r/SW9Mu7qfYUV1wW1WZKivjj3Xb3m6XSFgtrWWvPf//6XEydOuGxLiKKIi4tj5MiRPPDAA6aj+MJE4EGl1CXTQYQoKekAECFFa/0oMJIQ+bd98eJF/v3vf/P555+bjuJzFSpUYPny5dSqVct0FCF8ymKxMHHiRF555RV2795tOk5AiImJoXbt2vmu9rsq1h3vOw/lL86VdE+H4btbSK+w1zw5T0HHlmQqQmGv/fLLL7L4rPCK6tWr8+2339KsWTPTUXzhC6C3UirHdBAhvEEWARQhRSk1Smt9DhhHCPz7jomJ4bPPPqNhw4Y8++yzITs8uHLlyqxcuZJq1aqZjiKEz2itmTdvHi+99BLr1q0zHce4mJgYatWqRd26dalZsyZRUZd/ZBc0jN/dfcf3OT+ntbbPhXfVGeDqOVfHuGrbk+eK87y7dgs6tiidCFprZs+ena8dIYqqQ4cOfP3116SkpJiO4gvvAc8ppULzA5gISyFxlVQIZ1rrvwCTgVjTWbxl9uzZ9OzZkzNnzpiO4lW1atVi2bJlVKpUyXQUIXxmzZo1vPTSSyxYsMB0FKOio6OpVasW9erVsxf9RS18i3K842NPpgUU9P6Cjnc1usDbBb27bAVNBSho5ENGRgYTJ050+V4hPNW3b18GDRqUpwMvRGigj1LqfdNBhPA26QAQIUtrfSPWBVtKmc7iLVu3buX2229n165dpqN4xbXXXsvixYtJTEw0HUUIn9i+fTv/+c9/wrrQiomJoWbNmtSrV49atWq5vdLvaVFd1OH2nhTirtotatsFFdsFPS6ow8CT44oy+sB2Pysri9dffz2sd5sRJZOQkMCoUaPo1auX6Si+cB64Vyk13XQQIXxBOgBESNNaNwVmAlUMR/GaU6dO0bt3b7755hvTUUrktttu47vvviMyMtJ0FCG87ueff2bQoEFMmTIlLPdXd7zSX6tWLaKjowstjouyNV9Ri2tXxxV1nn1h9z1ZY8DT87j7Htz9ORU15/Tp05k7dy5CFEfNmjWZOnVqqO7WcwS4XSkl+7GKkCUdACLkaa0rYR0JcK3pLN6itWbkyJE8/fTTZGUF32409957L+PHjzcdQwiv0lqzdOlSBg0axJw5c0zH8TtXRT94PhS+KEP3bc97s7PA0/vuHhc0OsHTTLY2IiIiitxWQZ0qjq+fOHGC119/nUuXZDFzUXS33XYb//vf/yhXrpzpKL6wFeislNpjOogQviQdACIsaK0TgK+ArqazeNOmTZvo2bMnW7ZsMR3FY//617/45JNPTMcQwmu01nz//fe89dZbrFy50nQcv4qOjqZmzZrUr1+fWrVqERMTk+d1T4ttx+cKKq4d31fSq/7O7ynJlXV32b2R010hX9C5CjrnyJEjWbNmTb73ClGY/v37M3DgwFAdubcQ6KaUOmU6iBC+Jh0AImxorSOAN4GXTGfxpszMTPr06cPIkSNNRynUs88+yzvvvGM6hhBekZ2dzTfffMOgQYPYuHGj6Th+Yyv669WrR+3atfMU/YUNW3d+zd2xthX7XR3j7jzuXitOh0BB34NzZ4QnbRSls8PVMQWNBijK+Xfv3s3gwYPDclqKKL5SpUoxduxYunYNqWsojsZi3ebvoukgQviDdACIsKO1fhgYAUSbzuJNEydOpHfv3gG7S8ALL7zA4MGDTccQosROnjzJ6NGj+eijj9i9e7fpOH4RFRVlH95fp04dl8P7i3qF2pPF/Ao7h6tjSvqe4k4ZKOp5i9IxYnvs6VV/d8cNGjQobP7NCu9o0qQJEyZMoH79+qaj+Mp/gDeUUtIrJsKGdACIsKS1bgd8C4TUJLbdu3fTq1cvfvopsNau6devH2+99ZbpGEKUyPr16/noo48YN25cUK69UVRRUVH24f21a9cmNta6q6q74fIlLcqL+v6iXBn3RhFflFEMro5x95qvpgg4t7V69WpGjBiRL5MQ7vTp04dBgwYRFxdnOoovXAIeVUp9ZTqIEP4mHQAibGmt6wDfA3VMZ/Gmixcv8vLLLzN06FDTUQB4/vnnGTx4sMsPw0IEuvPnzzN8+HA+++wzfvvtN9NxfC46Opr09HTq169PnTp17MP7izKs3vm54lxZd/f+ohbhnt735LiijFooqI2iHlfckQq255RSXLp0if79+3P8+PF8xwjhLC0tjTFjxtCpUyfTUXzlFHC3Umqx4RxCGCGfyEVY01qXA6YA7Q1H8boffviBhx56iGPHjhnL8OSTTzJ8+HAp/kVQuHTpEtu3b2fjxo0sX76c2bNns3v37pCfL52WlkbNmjVJT0+nevXqREVFebzgnvPjklzNLs4Vc9t95xEJhY0O8DSDJ8Pw3Y2IKOgc7v58i9Op4ZzNVSfJ999/z+TJk/O9Rwhnt956K2PHjqVChQqmo/jKHqwr/W81HUQIU+RTuQh7WusY4BPgEdNZvO3QoUM8+OCDLFy40O/n7t27N59++qkU/yLgaK05cOAAGzduZMOGDWzcuJGNGzeybdu2sNgaLTExkfT0dGrVqkV6ejqlSpXKd4wnV8M9Ob44bdmec1XEu2qjpAW5qzzOC/4V9j5Pr+y7y1/Q91ncP1tbm2fOnOHFF1/k/Pnz+TIKYRMTE8PgwYN56qmn8i3CGUJ+Am5XSh0xHUQIk+STuRCA1loBzwNvE2L/X+Tk5PD222/z2muvYbFY/HLOv/71r3zxxReh/CFCBInTp0+zadOmPMX+pk2bOHXqlOlofhMVFUXVqlXtV/krVKiQr9h19f+qu6vJ7gpNV68Vdt/T1wo6p7vj3LVdWFuuji2sI6A45y3s+yzK91bQeYYPH87atWvztSuETd26dZkwYQJXX3216Si+NBV4QCmVaTqIEKaFVKEjRElpre8G/gfEm87ibRkZGdx7770cOHDAp+fp1asX48aNC9V9gkWAchy+71js79u3z3Q0I1JTU6lZsyY1a9akevXq9lX7HRVnuHlJOgEKel9xCmtPjy3J80UpyD1t25POi+J0ELg6buHChYwePTrfe4Sw6d27N8OGDSMxMdF0FF96F3heKZVjOogQgUA6AIRworW+BpgJVDKdxdveeustXn75ZZ+1f/fddzNx4kSXxYYQJZWdnc3BgwfZs2cPe/fuZe/evWzfvp0NGzaEzfB9dxISEuzD+mvWrGkf1l/UYfbOX90V6L646l9Qu4V9DwW9XtgohoLyuDqmKCMQnDMW95zuzu/qeNtrhw4d4pVXXuHiRdnaXOSXnJzMyJEj6datm+kovmQBnlZKfWg6iBCBRDoAhHBBa10FaydAU8NRvOaTTz7h8ccf91n7Xbp04dtvv7WvGi5EUV24cIH9+/ezd+9ee5HvWOwfOHCAnBy5gAMQGRlpH9Zfs2ZNKlXK21/prSvjRSlcvblCvyd5PO2UKOl5PMlQUKeAp/cLattZYX9H2dnZ/Oc//2Hv3r35XhOibdu2jBs3jqpVq5qO4kuZQC+l1EzTQYQINFGmAwgRiJRSB7TWN2CdDnCH6Twl9cUXX/i0+L/55puZPHmyFP+iQJmZmfZi3rGwt90/fPhwyK+4XxIpKSn2gr9GjRpER0cXq9B2fOzpFWtXx0VERHi0RkBB910Vzq6O9eSquye5vTECwNV9x3UUPBltUdjfjfOfq6s2C/L1119L8S/yiYyMZMCAAbz00kuhPk1vF9BVKbXBdBAhApGMABCiAFrrSGAw8JzpLMU1fvx4HnjgAZ8VVm3btuWHH34gISHBJ+2LwKW15tSpUxw9erTQ24EDBzh69KjpyEElPj6e9PR0atasSa1atShTpkyJruY7Py7OVenitOHplXpfjyZwV0QXdmxBV+BdZS5KfldtuTunpzZs2MCQIUOkM03kkZ6ezvjx42nRooXpKL72PdbF/k6ZDiJEoJIRAEIUQFkXjOmrtd4OfEyQ/T8zefJkHnroIZ99EGzZsiXfffedFP8h4tKlS5w+fdqjgt52y87ONh07ZMTFxXHFFVdQrVo1atWqReXKlfO87q649PfQ++K05fw9ON93d35PRih4ms25bXfHuHvd0w4G21fHnRVsf08FtVOSot/mzJkzjBgxQop/kcf999/Pxx9/TJkyZUxH8SUNvA78Vynlny2PhAhSQVXMCGGKUmqk1no3MAVIMp3HEzNnzuTee+/12Zzpa6+9lh9++IHSpUv7pH1RNDk5OZw9e5ZTp05x+vRpTp8+nee+J48zM2V3JH+JiIggLS2NK664gipVqlClShXKly8PFF6QOheWxR3WXtSr3J4+X1jbRemUKO4V/qIU9QVtg1iU/M7vcT7O28W+K59++imnT5/2Sdsi+JQuXZqPP/6YBx54wHQUXzsF3K+UmmU6iBDBQDoAhPCQUmqB1vol4BPTWQozZ84cunfv7rOrs40bN2bOnDkkJQVFX0jAu3DhAqdPn+bMmTN5vhb2nOPt7Nmzpr8NUYAyZcpwxRVX2Av+ypUrExUV5VGh6nyV3/m4ol6Bd/e8p+/15H5h35fzsZ5MCyju91XY44KKdnd/7p50mLi76u8rs2fPZsMGmfIsrDp16sSnn35KtWrVTEfxtQ1Y5/vvMh1EiGAhHQBCeEhrXRrw3R56XrJo0SLuuusun239dNVVVzF//nzKlSvnk/aD1YULFzh+/Lj9duzYsTz3T5w44bKAP3PmDBcuXDAdX3hRdHQ0lSpVynN133GkjGMB6ekWdd66Gu/qsfM5nJ8rzur2BWVz9VphV8gLunpf1A4DT4/RWhMZGenx9+/JY1/Zt28fEydO9Mu5RGArX748w4cP57777vPbvz+DxgH/VErJ8DUhikA6AITw3JtAFdMhCpKRkcFf/vIXsrKyfNJ+nTp1mD9/PqmpqT5pPxBorcnMzHRZxBd0/9y5c6ajCwOUUpQrV44qVarYC/4KFSp4XLAXduW9OEPhXWV0LJY9KcgdOU85KOy8xekscNd2YaMDivJn5e597r4f23PuVvcPlOLq4sWLfPjhh1y6dMl0FGFYr169GD58OGlpaaaj+Fo28AzwkVJKFrwQooikA0AID2itWwBPmM5RkNWrV9O5c2efzeNOT09n4cKF+fYbDzZnzpxh//79eW4HDhzIc//PP/80HVMEqPj4eHuhbxvSHxcXBxRtSLurx966sl1Qu57mKc4V9KKcw9ORD+C6A6KgXEX5XorzvQWazz//nEOHDpmOIQyqXLkyn3zyCXfcEfS7Fnvid6C7Umq56SBCBCvpABCiEFrrGOBzCNxtM9etW8ett97qs3ngVatWZeHChVSpEtADIDh37lyeYt65uN+/f7/MlRcei4yMzLdQX7ly5YpUQBa3wHc1/N6TAregK/0FXVl3PGdh53B+3dMC2/F550X3ijNqwN33WpJOAld/LoHsq6++YsWKFaZjCIP+8Y9/8H//93+ULVvWdBR/yADuUUodNh1EiGAmHQBCFO4FoIHpEO5s2rSJjh07curUKZ+0X6lSJRYsWECNGjV80n5RXLx4kZ07d7JlyxZ27NjBvn378hT4vvozEKFPKUVycjIVK1a0X92vVKlSnoX6CircHR8XdvXYdkxBxahjYVvUK9uuCmJ3V9y9faXfMbcnoyBcvb+gzgHnx47D8x0X3PPk78CT9gPZjBkzmDNnjukYwpCaNWsycuRIbrrpJtNR/OV9oK9SSua6CFFCwfFbTghDtNZ1sa4wG2M6iyvbtm2jXbt2/PHHHz5pPzU1lSVLllC/fn2ftO9OVlYW27dvZ8uWLXluO3fu9Nm2hiI8REREUK5cOVJSUkhNTSUlJYW0tDRSUlKIjIwEPB8G7slwd9tzxb2y7sm8fVdtOr7X0xEBxb3vfG5Phve7e48nHReevObJ9xnMFi1axBdffGHv9BDhIyIigmeeeYaBAweSkJBgOo4/nAd6K6XGmQ4iRKiQEQBCuKG1jgA+I0CL/127dtGhQwefFf/lypVj/vz5Pi3+//zzT7Zt25av0N+9ezcWi8Vn5xWhLyoqinLlytmLfNvX8uXL2wt9cH1l3llRrl67K7QLK8KLcjXfVb6CrqQ7jiQoznaCno4ScP4ei9Keqw4D59EA7joVCssTan766SdGjx4txX8YatiwIaNGjaJ58+amo/jLbqxb/P1iOogQoUQ6AIRw71GgrekQruzdu5ebbrrJZws/JSUlMXfuXBo3buyV9s6cOcPWrVvzFfp79uzxSvsifEVHR5OSkmK/paamkpqaSnJyMhEREQUWpYU9LqzYdjXsvLiFfFHzFVToFlTwK6U8nn/vyevuindP8ztfxXfM7JzTXRue5A4VW7Zs4eOPP5YO0jATHR3Nyy+/TL9+/YiJCchrEr4wC3hAKXXSdBAhQk3o/XYUwgu01pWArUCS6SzODh48SNu2bdm9e7dP2i9VqhTz5s2jRYsWRX6v1pr9+/ezYsUKVq9ezebNm9myZQsHDhzwQVIRTmJjY/MU+bb7ycnJ9mM8uSJfnMLb00KzoOK4sPcW9Hpxh7e7uzLu+FxR5+m7a8Oxs6Wg97k6Z2HTHNx1ZISbPXv28Oabb3L+/HnTUYQfNW/enFGjRtGwYUPTUfxpADBQKSU9XUL4gIwAEMK1DwjA4v/333/npptu8lnxn5CQwKxZszwu/i9evMi6detYsWIFK1asYOXKlRw8eNAn2UR4iI+Ptxf55cuXt1/RL126dLGKdU+KWm8V+yW578niec7nL6goLqz4tz0uSvHv7tyOIw48Leid2yvszzMcC35HR44cYciQIVL8h5H4+HjefPNNnnrqqTzTlkLcceCvSqnvTQcRIpSF929UIVzQWt8JTDOdw9mxY8do3749mzdv9kn7sbGxfP/993To0MHtMUeOHGHlypX2gn/NmjVcuHDBJ3lE+IiJibEX/YmJifbni1ucFnRcYe/z5LmoqChiYmKIiYkhOjqa6OjofI8dn4uMjCzSvvcF5fAkq6fvKawNV+8rqOPB0w4TT/9uhNWpU6cYMGAAR48eNR1F+MnNN9/MiBEjqFmzpuko/jQP+JtSyjdzG4UQdvKbVggHWusywBbgCtNZHJ08eZKbbrqJ9evX+6T96Ohopk+fTqdOnezPZWdns2nTJvuV/RUrVvhs5IEQoSwyMjJPp4CrDgPn5x1ft32NjY3Nc9/5tejoaMDzOfvOitt5UtjjonQ4iLwyMzN544032L9/v+kowg/S09N55513uOuuu8Lp/4+LwEvAcBnyL4R/yBQAIfIaRIAV/2fOnOHWW2/1WfEfGRnJpEmTaNGiBT/88IP96v7q1as5d+6cT84pRDjJyckhJyeHrKwsn55HKeWyMyE2NpbY2FgSExNJTEwkISHBft/22PZcqVKl7IuMFXX6gvNrBb1PFC4rK4t33nlHiv8wkJCQQP/+/XnuueeIi4szHceftgD3KVnlXwi/kt/GQuTSWrcGMkzncHTu3Dluu+02li9f7rNzlCpViqpVq7J161afnUMIETyioqLydRLYOgpKlSqV53Hp0qUpVaoUpUqVKnCdBlE0J06cYOjQoezbt890FOFj9913H4MHD6ZKlSqmo/jbh8ALSilZ2EIIP5Pf0EIAWutYYB3gu03viygzM5MuXbqwePFi01GEEKJQkZGRlCpViqSkJMqUKWP/6ng/KSnJfj8qSgYhurJnzx7eeecdTp6U3c9CWbNmzXj//fdp3bq16Sj+9gfwiCz0J4Q58ttXCKuXCKDiPysri7vvvluKfyFE0MjJyeH06dOcPn260GOVUsTHx+frHHDXWRAfH++H78C8n3/+mY8++kgWVw1hKSkpvPXWWzzyyCPhtLq/zQ/Aw0qpI6aDCBHOZASACHta6/rAeiDGcBTAurVe9+7dmTlzpukoQggREGJjY0lOTqZcuXJub2XKlDEds0Rmz57N+PHjsVhkHbRQFBUVxRNPPMF//vMfypYtazqOv10A+gIfKaW06TBChDvpABBhTWsdASwFAmIMXnZ2Nr169WLKlCmmowghRFCJjo4utJMgKSkp4NYn0Frz5ZdfMm/ePNNRhI/ccsstvPfee9SvHzADDf1pA9aF/nyzh7EQosgC67egEH6mtX4M+Nh0DrAOn33ooYcYP3686ShCCBGSIiMjKVu2rMvOgZSUFFJTU/06kiArK4sPP/zQZ7u8CLNq1arFsGHDuP322wOu48lP3gX6K6V8uwWKEKJIwvKnkRAAWusrgK1AadNZLBYLf//73xk9erTpKEIIEdbi4uJITU0lLS3N5VfbNokldfLkSYYOHcrevXu90p4IHImJibzyyis888wzxMbGmo5jwu/AX5VSc00HEULkJx0AImxpracCdwVADh5//HE+/fRT01GEEEIUQClFmTJlSEtLc9lBUK5cOY+u9O7du5ehQ4fKSv8h6MEHH+Ttt9+mcuXKpqOYMh34u1LqmOkgQgjXpANAhCWtdVfA+ER7rTXPPPMMw4cPNx1FCCFECUVFRVG+fPl8HQO2+6VKlWL9+vV8+OGHZGXJqOhQ0qJFC4YNG0bLli1NRzHlPNAHGCkL/QkhhAgoWuuyWutD2jCLxaJffPFFDcitkFvlypV1vXr1dEJCgvEscpOb3ORW3FtCQoKOiIgwnkNu3rs1adJEz5w5U1ssFtMfK0xaq7WuhxAiKESZDiCEAYOBSqZDDBw4kMGDB5uOEVCqV6/OVVddledWv359kpKSAPjzzz8ZPnw4gwcP5syZM4bTCiFE0WRmZpqOILykXr16DBw4kG7duhEREWE6jimXgLeB/yqlLpoOI4TwjEwBEGFFa90WWGI6x3vvvcczzzxjOoYRSilq1qyZr9CvV68epUqV8qiN48ePM3jwYD744AMZRiuEEMJvatSoweuvv879999PVFRYX0dbhXWu/ybTQYQQRSMdACJsaK2jsO5Ha3Qj3nXr1tG8eXOys7NNxvCL+Ph4rrvuOlq0aEGTJk246qqrqFu3LvHx8V5p/+DBgwwcOJBRo0aRk5PjlTaFEEIIZ5UrV+aVV17h0Ucf9dpOEEHqT6Af8LFSSn7xCiGECFxa67+bnSKndVZWlm7QoIHxOYu+ulWrVk337NlTDx8+XP/000/64sWLfvlz3b59u77nnnuMf/9yk5vc5Ca30LqlpKTod955R2dmZvrl91mAm6W1ro4QIqjJCAARFrTW8cAOoIrJHLNmzaJLly4mI3hNdHQ0zZo1o1WrVrRs2ZKWLVtSpYrRP17Wrl1L//79mTtXth4WQghRfElJSfTt25enn36a0qVLm45j2jHgaWCCrPAvRPAL68lLIqw8juHiH6wdAMEqLS2NVq1a2W/NmjXz2lB+b7nmmmuYM2cOCxcupF+/fqxevdp0JCGEEEEkMTGRp59+mr59+5KcnGw6TiD4CnhWKXXMdBAhhHfICAAR8rTWScAuoLzpLA0aNGDLli2mYxQqIiKCxo0b07JlS3vBn56ejlLB8yNDa820adN4+eWX2bp1q+k4QgghAlhsbCyPPfYY/fr1Iy0tzXScQLAX+KdSao7pIEII7wqeT/NCFJPWeiDwqukcAPXr12fbtm2mY+RTtmxZe7HfsmVLmjdvHjJDHnNycvjqq6947bXX2L9/v+k4QgghAkhUVBSPPvoor7zyivFpbAFCA8OBV5VS50yHEUJ4n3QAiJCmtU4DdgOJprMANG/enJ9++sl0DJRSNG/enM6dO9OlSxeuvvrqkN/HOCsri7FjxzJs2DB27NhhOo4QQgiDoqKiuP/++3n11VepVauW6TiBYhPWrf1WmQ4ihBBCFIvWepjB1XLz6dq1q7GVjMuWLat79uypx44dq48cOWL6j8KYnJwcPX36dN22bVvjq0vLTW5yk5vc/HsrXbq0fu655/S+fftM/zoKJBe01i9rrcN6f0MhwoWMABAhS2tdBjgABMxY9unTp3PXXXf57XwNGzakS5cudO7cmVatWhEVJet+Olq9ejXvvPMOkydPxmKxmI4jhBDCRypVqkSfPn3o3bs3ZcuWNR0nkGQA/1BKBd78RCGET0gHgAhZWus+wLumczjKzs6mWrVqHD582Cftx8fH06FDB7p06UKnTp2oXr26T84Tan777TeGDx/O559/zp9//mk6jhBCCC+56qqr6Nu3L/fddx+xsbGm4wSSs8ALwGdKKekBFyKMSAeACEla60hgJ5BuOouzadOm0bVrV7TWXmkvPT3dfpW/ffv2Abc1XzA5efIkn332GcOHD/dZJ40QQgjfa9euHc8//zydOnUK+TVuimEm8LhS6oDpIEIIIYRXaK3vMjiXrlBDhgwp9vzFqKgofeONN+qhQ4fqLVu2aIvFYvrbCTkXLlzQY8aM0Q0bNjQ+X1VucpOb3OTm2S0iIkJ3795dr1q1yvSvkUC1U2t9h9ZaLgAKIYQILVrrxYZ/yRbIYrHoTz/9VCcnJ3v0oaZChQr64Ycf1t98840+deqU6fhhw2Kx6Dlz5uiOHTsa/2ArN7nJTW5yc32Lj4/Xjz/+uP71119N/9oIVKe11n211jIHQgghUwBE6NFaXw38bDqHJ44dO8Z///tf5s6dy7Zt2+zTAuLi4mjcuLF9aH+zZs1kCKNhv/zyC8OGDWP8+PFkZ2ebjiOEEGGvfPnyPPHEE/z73/8mNTXVdJxApIFRwCtKqSOmwwghAoN0AIiQo7X+EPi36RxFdfr0aX777TcqV65MamoqSsn/noHowIEDfPDBB4wYMYLTp0+bjiOEEGGnZs2aPPfcc/ztb38jISHBdJxAtRToo5RaZzqIECKwSIUhQoq2Lv53AKhoOosIbWfPnmXUqFG8++677Nu3z3QcIYQIeS1atODZZ5+la9euREZGmo4TqPYCfYEpSiltOowQIvBIB4AIKVrrtsAS0zlE+MjOzmbKlCkMGTKEtWvXmo4jhBAhpUyZMjz44IP84x//oEmTJqbjBLI/gUHAMKXUedNhhBCBSzoAREjRWn8APGE6hwg/WmuWLl3KO++8w/fff4/FItsqCyFEcbVo0YJ//vOf9OjRg8TERNNxAt1XQD+l1EHTQYQQgU86AETI0FpHYB3+X8l0FhHeDh48yFdffcXo0aPZsWOH6ThCCBEUkpKS7Ff7GzdubDpOMPgR6zz/VaaDCCGCh3QAiJChtb4B66I3QgQErTU//vgjo0ePZuLEiZw5c8Z0JCGECDgtW7a0X+2XRf08chB4EZiglJLhZkKIIpEOABEytNZvAK+YziGEK5mZmUydOpUxY8awYMEC+5aPQggRjpKSknjooYf4xz/+QaNGjUzHCRZZwBBgsFLqT9NhhBDBSToARMjQWs8GbjWdQ4jC7Nu3jy+//JIxY8awa9cu03GEEMJvWrVqRe/eveVqf9FNBF5USu01HUQIEdykA0CEBK21Ao4DyaazCOEprTUZGRmMHj2aSZMm8eefckFHCBF6ypYta7/a37BhQ9Nxgs3PWOf5LzMdRAgRGqQDQIQErXVtYKfpHEIU17lz55gyZQpjxoxh8eLFpuMIIUSJtW7dmt69e9O9e3e52l90W4HXgG9lnr8QwpukA0CEBK31vcB40zmE8Ibdu3fbpwjs3SujPYUQwaNp06b06tWLe+65h/T0dNNxgtGvwOvA10qpHMNZhBAhSDoAREjQWr+NdUVcIUKGxWJhyZIljB49msmTJ3P+/HnTkYQQIp969epx77330rNnT+rWrWs6TrDaAwwEvlJKZRvOIoQIYdIBIEKC1nok8HfTOYTwlTNnzvDNN98wZswYMjIyTMcRQoS5mjVr0qtXL3r27EmjRo1QSj5SFtNB4A1gtFLqoukwQojQJz+tRUjQWn8DdDedQxTod2A+sACoATwNlDWYJ2jt3LmTsWPHMm7cOJkiIITwmypVqtCzZ0969uzJtddeK0V/yRwB3gI+U0plmQ4jhAgf8pNbhASt9Vygo+kcIo9zwGKsRf98YItSStte1FqXAR4DngNSTQQMdlprNmzYwIwZM5gxYwZr1qwxHUkIEWLS0tLo0aMHvXr1olWrVkRERJiOFOyOAYOBj5VSmabDCCHCj3QAiJCgtV4NXGc6R5jLBn7kcsG/Wil1qbA3aa0TsE7feAG4wqcJQ9zBgwf57rvvmDFjBgsWLODChQumIwkhglBycjLdunWjV69etGvXjqioKNORQsEpYAjwgVLqrOEsQogwJh0AIiRordcCzUznCEObuVzwLynJhxqtdSzwV+AlQJaOLqFz584xb948ZsyYwXfffcexY8dMRxJCBLDSpUtz11130atXL26++WZiYmJMRwoVZ4F3gXeVUqcMZxFCCOkAEKFBaz0VuMt0jjBwCJhH7lx+pdRhb59Aax0F9AJeBup5u/1wlJOTw8qVK+1TBbZv3246khAiANSrV49OnTrRuXNnbrjhBmJjY01HCiWZwPvAUKXUcdNhhBDCRjoAREjQWr+HdVE54V1ngUVcLvq3O87j9yWtdQTQFWtHQFN/nDNcbN++nZkzZzJjxgyWL1+OxWIxHUkI4Qfx8fHcdNNNdOrUiU6dOlGzZk3TkUJRFvAJMFgpdcR0GCGEcCYdACIkaK2fAYaZzhECLgEruTys/yfT+xFrrRXQGXgFaGEySyg6duwYs2bNYsaMGcyePZs///zTdCQhhBfVrl2bzp0706lTJ9q1a0d8fLzpSKHqAvA58JZS6pDpMEII4Y50AIiQoLXuAnxnOkeQ2sDlgn+ZUuqc4Twu5XYE3Ih1RMBNhuOEpKysLBYvXmyfKnDw4EHTkYQQRRQbG0v79u3tRX+dOnVMRwp1x4GPgI+UUn+YDiOEEIWRDgARErTWcVj3mU8ynSUI7Odywb8gGIcoaq1bYu0I6GI6S6jSWvPzzz/bOwPWr19vOpIQwo0aNWrQuXNnOnfuTPv27UlMTDQdKRz8inXk4VjZzk8IEUykA0CEDK31SKzbyYm8TgMLuVz07/TXPH5f01pfDfQHuiE/z3xq//79LF26lIyMDDIyMti0aZPpSEKErejoaNq2bWsv+uvWrYtS8iPQT5YDQ4GZSqkc02GEEKKo5LeFCBla63bAYtM5AsBFrB9QbAX/z6bn8fua1ro+0A+4D4g0HCcsnDhxgpUrV7Js2TIyMjL46aefuHjxoulYQoSkhIQEWrRoQZs2bWjTpg0tW7akVKlSpmOFEw18C7yjlFppOowQQpSEdACIkJG7avxywnOhuPXknccflsMRtda1gBeBvwHRZtOEl6ysLNasWWMfIbB8+XJOnTplOpYQQalChQr2Yr9169Y0bdqU6Gj5kWZAJjAaeFcptct0GCGE8AbpABAhRWt9JdZiONSXOd7L5a35FiqljhrOE1C01lWA54FHALlMZoDFYmHz5s32DoGMjAz27dtnOpYQAalevXq0bt3aXvTXqlVLhvSbdQT4APhUKXXcdBghhPAm+e0iQo7W+ilguOkcXnYSWMDlq/y7Q2Uevy9prUsDDwCPAY0Mxwl7+/bty9MhsGnTJrSWf8YivERHR3PNNdfYi/1WrVqRmppqOpaw2gq8A/xPKZVlOowQQviCdACIkJM7FeBz4GHTWUrgArCMywX/ellsqPhytxBsjbUjoAcyPSAgnDx5kpUrV9o7BFavXs2FCxdMxxLCq5KSkmjVqpW94L/uuuuIjw/1QWpBZxHWwv8HpZTFdBghhPAl6QAQISm34HsZeMN0Fg9p4GcuF/zLlVLnzUYKTVrrNOBR4J9AdcNxhIOsrCzWrl1rX0Ngw4YN7N2713QsITxWsWJFGjduTJMmTexfr7rqKiIjZW3SAJQDTMK6sN9a02GEEMJfpANAhDSt9f3ApwTmPPCdWK86zAMWyTxD/9JaRwKdsI4K6IT8PAxIZ8+eZdu2bWzevJnNmzezZcsWNm/eLB0DwqiYmBiuuuoqe6Fvu6WlpZmOJgp3EhgDDFdKyQ8SIUTYkQ+8IuRprVOxrgz/byDOYJQ9WAv+hcBipdQBg1mEA611OtYRAY8CKYbjCA+cPXuWrVu32jsEbJ0D0jEgvK1y5cr5rupfeeWVsip/8FkMjAS+lfn9QohwJh0AImxora/AujJ8V6Cqj0+XBWwCfgFWYL3C/5uPzylKSGsdC3QHHgdaGY4jikE6BkRxxcbG0qBBg3xX9VNSpE8wiP2B9Wr/50qpnYazCCFEQJAOABF2ctcHaAB0zr01AcoWs7kLwGFgO9btB3/Jve1QSmWXNKswR2vdBOv0gAeARMNxRAlJx4AA64J86enp+W41a9akTp06REVFmY4oSk4Dc7Fe7Z+plLpoOI8QQgQU6QAQAtBal8W6IFyN3JtjwWfbp8yCdW/gQw63k7IdX2jTWpcBHsTaGdDAcBzhZbaOgc2bN7Njxw4OHz7MoUOHOHToEIcPH+bEiROmI4oiiIuLo0aNGi6L/PT0dJKTk01HFL5zEPgC+EIptcdwFiGECFjSASCEEB7IHTlyA9aOgG7IVoJhISsri99//93eIeDu6/HjsoanP0RGRlKtWjV7Qe9c7FesWBGl5KNNGMkBvsd6tX+2jLwTQojCyW9JIYQoIq11BS5vJVjNcBwRAC5cuGDvKCios0A6CvIqXbo0KSkplC9fnpSUFPvN3ePU1FQZpi/Auqju58BopdQhw1mEECKoSAeAEEIUU+5Wgp2xdgTcCkhlIgpk6yiwdQgcOXKEzMxMzp8/T1ZWVpG/2u5nZ/v3wmdkZCQxMTHExsbav9ruJyQkFFrUly9fnvLlyxMbG+vX3CKoXQKmYb3av0ApZTEbRwghgpN0AAghhBdorctjnRrQC2iP/HwVfpSdnZ2nQ6Cwr9nZ2fkK94K+Oj8XGRlp+lsW4WMH1qL/S6XUH6bDCCFEsJMPqEII4WVa60pAD6ydAS0NxxFCiGBzAvgW+ApYJovtCiGE90gHgBBC+JDWugZwD3Av0NRoGCGECFynganARKxD/C8ZziOEECFJOgCEEMJPtNb1gJ5YOwPqGo4jhBCmnQWmYy365ymlLhjOI4QQIU86AIQQws9ytxRsjLUjoBdQ3WwiIYTwmz+BmViL/tlKqSzDeYQQIqxIB4AQQhiU2xlwPdaOgJ5ARbOJhBDC684D3wOTgO+VUpmG8wghRNiSDgAhhAgQudsKtsXaGdAdKGc2kRBCFNsF4AesRf9MpdQ5w3mEEEIgHQBCCBGQtNbRwM1YpwncBZQ2GkgIIQp3CZiDteifrpQ6YziPEEIIJ9IBIIQQAU5rHQ90wjoy4HYgzmwiIYSwywbmYy36pymlThrOI4QQogDSASCEEEFEa10KuAm4LfeWbjaRECIMHcN6pf8HrAv5HTecRwghhIekA0AIIYJU7gKCtYFbsXYG3AgkGA0lhAhFFmAVMBtr0b9WKWUxG0kIIURxSAeAEEKECK11LNAGa2fArUAjs4mEEEHsDy4X/PPkKr8QQoQG6QAQQogQpbW+ArgFa2fALUCy2URCiABmAVZiLfh/ANbLVX4hhAg90gEghBBhIHeLwWu5PDrgeiDCaCghhGmHuXyVf74s4CeEEKFPOgCEECIMaa3LAR243CFwhdlEQgg/yAGWk7t4H/CLUkqbjSSEEMKfpANACCHCXO5igg24vJhgWyDGaCghhLfsARZw+Sr/abNxhBBCmCQdAEIIIfLQWicC7bjcIXCl2URCCA/lAOuwXuVfDixXSh0yG0kIIUQgkQ4AIYQQBdJaVwCaY1034Prc+2WMhhJCAJzBunCfreBfrZQ6ZzaSEEKIQCYdAEIIIYpEax0B1ONyh8D1WLccjDSZS4gwsBeHq/vAJqVUjtlIQhCDdKYAAAJnSURBVAghgol0AAghhCix3GkDzbB2BrTI/VrFaCghglsO8AuQweXh/AfNRhJCCBHspANACCGET2itK5N3lMB1QKLRUEIErrPkHc6/SobzCyGE8DbpABBCCOEXWutIrLsNOHYKNEB+F4nwcxzYkHvbCKwFNspwfiGEEL4mH7qEEEIYo7UuA1xL3k6BikZDCeE9l4AtWIv8DQ6335VS2mQwIYQQ4Uk6AIQQQgQMrbXCunZAfawLDdZ1uMmaAiKQHSBvkb8R2K6UumQ0lRBCCOFAOgCEEEIEBa11KeBK8nYK2G4JBqOJ8PIn1uLe8ar+RqXUSaOphBBCCA9IB4AQQoiglrst4RXk7RCwjR6oZjCaCG5HgD3Ab8BWLhf8vymlLAZzCSGEEMUmHQBCCCFCltY6AahD3k4B262UwWjCvBNYi/s9Tl9/A/YqpTKNJRNCCCF8RDoAhBBChJ3ctQYqkbdToCrWBQgr5H6VLQuD21ncF/h7lFJnjCUTQgghDJEOACGEEMIFrXUilzsDHL+6ek7WIPCvc8AxrNvp/YFDYe/w9YSstC+EEELkJR0AQgghRAnkjiYohfvOAefn4swkDVinuVzMe/L1hFLqgpmoQgghRHCTDgAhhBDCT3I7C0qTt1OgFBCLtWPAdivscWHHRHk5eg5wAbhYxK9ZXC7eXRX0J2SbPCGEEMJ/pANACCGECDFa60gK70SIIH/R7qqQv6iUyvHztyCEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIEsP8H/jBreLc1e8MAAAAASUVORK5CYII=)\n\nDocling simplifies document processing, parsing diverse formats — including HTML — and providing seamless integrations with the gen AI ecosystem.\n\n### Supported file formats\n\nDocling supports multiple file formats..\n\n- Advanced PDF understanding\n- PDF\n- Microsoft Office DOCX\n- DOCX\n- HTML files (with optional support for images)\n- HTML\n\n#### Three backends for handling HTML files\n\nDocling has three backends for parsing HTML files:\n\n1. HTMLDocumentBackend Ignores images\n2. HTMLDocumentBackendImagesInline Extracts images inline\n3. HTMLDocumentBackendImagesReferenced Extracts images as references"
},
"metadata": {},
"output_type": "display_data"
}
],
"execution_count": 8
},
{
"cell_type": "code",
"id": "94f7cc6d7288c909",
"metadata": {
"ExecuteTime": {
"end_time": "2025-05-24T19:53:14.915566Z",
"start_time": "2025-05-24T19:53:14.262109Z"
}
},
"source": [
"from IPython.display import Latex, Markdown, display\n",
"\n",
"html_file = \"../../tests/data/html/wiki_duck.html\"\n",
"result = doc_converter.convert(html_file)\n",
"document = result.document\n",
"markdown = document.export_to_markdown(image_mode=ImageRefMode.EMBEDDED)\n",
"print(markdown)"
],
"outputs": [
{
"ename": "AttributeError",
"evalue": "'TableCell' object has no attribute 'get_ref'",
"output_type": "error",
"traceback": [
"\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
"\u001B[0;31mAttributeError\u001B[0m Traceback (most recent call last)",
"Cell \u001B[0;32mIn[9], line 4\u001B[0m\n\u001B[1;32m 1\u001B[0m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;21;01mIPython\u001B[39;00m\u001B[38;5;21;01m.\u001B[39;00m\u001B[38;5;21;01mdisplay\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m Latex, Markdown, display\n\u001B[1;32m 3\u001B[0m html_file \u001B[38;5;241m=\u001B[39m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m../../tests/data/html/wiki_duck.html\u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[0;32m----> 4\u001B[0m result \u001B[38;5;241m=\u001B[39m \u001B[43mdoc_converter\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mconvert\u001B[49m\u001B[43m(\u001B[49m\u001B[43mhtml_file\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 5\u001B[0m document \u001B[38;5;241m=\u001B[39m result\u001B[38;5;241m.\u001B[39mdocument\n\u001B[1;32m 6\u001B[0m markdown \u001B[38;5;241m=\u001B[39m document\u001B[38;5;241m.\u001B[39mexport_to_markdown(image_mode\u001B[38;5;241m=\u001B[39mImageRefMode\u001B[38;5;241m.\u001B[39mEMBEDDED)\n",
"File \u001B[0;32m~/.cache/pypoetry/virtualenvs/docling-6_27CWgt-py3.10/lib/python3.10/site-packages/pydantic/_internal/_validate_call.py:39\u001B[0m, in \u001B[0;36mupdate_wrapper_attributes.<locals>.wrapper_function\u001B[0;34m(*args, **kwargs)\u001B[0m\n\u001B[1;32m 37\u001B[0m \u001B[38;5;129m@functools\u001B[39m\u001B[38;5;241m.\u001B[39mwraps(wrapped)\n\u001B[1;32m 38\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;21mwrapper_function\u001B[39m(\u001B[38;5;241m*\u001B[39margs, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs):\n\u001B[0;32m---> 39\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mwrapper\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43margs\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n",
"File \u001B[0;32m~/.cache/pypoetry/virtualenvs/docling-6_27CWgt-py3.10/lib/python3.10/site-packages/pydantic/_internal/_validate_call.py:136\u001B[0m, in \u001B[0;36mValidateCallWrapper.__call__\u001B[0;34m(self, *args, **kwargs)\u001B[0m\n\u001B[1;32m 133\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m__pydantic_complete__:\n\u001B[1;32m 134\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_create_validators()\n\u001B[0;32m--> 136\u001B[0m res \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m__pydantic_validator__\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mvalidate_python\u001B[49m\u001B[43m(\u001B[49m\u001B[43mpydantic_core\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mArgsKwargs\u001B[49m\u001B[43m(\u001B[49m\u001B[43margs\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 137\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m__return_pydantic_validator__:\n\u001B[1;32m 138\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m__return_pydantic_validator__(res)\n",
"File \u001B[0;32m~/PycharmProjects/docling/docling/document_converter.py:222\u001B[0m, in \u001B[0;36mDocumentConverter.convert\u001B[0;34m(self, source, headers, raises_on_error, max_num_pages, max_file_size, page_range)\u001B[0m\n\u001B[1;32m 204\u001B[0m \u001B[38;5;129m@validate_call\u001B[39m(config\u001B[38;5;241m=\u001B[39mConfigDict(strict\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mTrue\u001B[39;00m))\n\u001B[1;32m 205\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;21mconvert\u001B[39m(\n\u001B[1;32m 206\u001B[0m \u001B[38;5;28mself\u001B[39m,\n\u001B[0;32m (...)\u001B[0m\n\u001B[1;32m 212\u001B[0m page_range: PageRange \u001B[38;5;241m=\u001B[39m DEFAULT_PAGE_RANGE,\n\u001B[1;32m 213\u001B[0m ) \u001B[38;5;241m-\u001B[39m\u001B[38;5;241m>\u001B[39m ConversionResult:\n\u001B[1;32m 214\u001B[0m all_res \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mconvert_all(\n\u001B[1;32m 215\u001B[0m source\u001B[38;5;241m=\u001B[39m[source],\n\u001B[1;32m 216\u001B[0m raises_on_error\u001B[38;5;241m=\u001B[39mraises_on_error,\n\u001B[0;32m (...)\u001B[0m\n\u001B[1;32m 220\u001B[0m page_range\u001B[38;5;241m=\u001B[39mpage_range,\n\u001B[1;32m 221\u001B[0m )\n\u001B[0;32m--> 222\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28;43mnext\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43mall_res\u001B[49m\u001B[43m)\u001B[49m\n",
"File \u001B[0;32m~/PycharmProjects/docling/docling/document_converter.py:245\u001B[0m, in \u001B[0;36mDocumentConverter.convert_all\u001B[0;34m(self, source, headers, raises_on_error, max_num_pages, max_file_size, page_range)\u001B[0m\n\u001B[1;32m 242\u001B[0m conv_res_iter \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_convert(conv_input, raises_on_error\u001B[38;5;241m=\u001B[39mraises_on_error)\n\u001B[1;32m 244\u001B[0m had_result \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;01mFalse\u001B[39;00m\n\u001B[0;32m--> 245\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m conv_res \u001B[38;5;129;01min\u001B[39;00m conv_res_iter:\n\u001B[1;32m 246\u001B[0m had_result \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;01mTrue\u001B[39;00m\n\u001B[1;32m 247\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m raises_on_error \u001B[38;5;129;01mand\u001B[39;00m conv_res\u001B[38;5;241m.\u001B[39mstatus \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;129;01min\u001B[39;00m {\n\u001B[1;32m 248\u001B[0m ConversionStatus\u001B[38;5;241m.\u001B[39mSUCCESS,\n\u001B[1;32m 249\u001B[0m ConversionStatus\u001B[38;5;241m.\u001B[39mPARTIAL_SUCCESS,\n\u001B[1;32m 250\u001B[0m }:\n",
"File \u001B[0;32m~/PycharmProjects/docling/docling/document_converter.py:280\u001B[0m, in \u001B[0;36mDocumentConverter._convert\u001B[0;34m(self, conv_input, raises_on_error)\u001B[0m\n\u001B[1;32m 271\u001B[0m _log\u001B[38;5;241m.\u001B[39minfo(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mGoing to convert document batch...\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n\u001B[1;32m 273\u001B[0m \u001B[38;5;66;03m# parallel processing only within input_batch\u001B[39;00m\n\u001B[1;32m 274\u001B[0m \u001B[38;5;66;03m# with ThreadPoolExecutor(\u001B[39;00m\n\u001B[1;32m 275\u001B[0m \u001B[38;5;66;03m# max_workers=settings.perf.doc_batch_concurrency\u001B[39;00m\n\u001B[1;32m 276\u001B[0m \u001B[38;5;66;03m# ) as pool:\u001B[39;00m\n\u001B[1;32m 277\u001B[0m \u001B[38;5;66;03m# yield from pool.map(self.process_document, input_batch)\u001B[39;00m\n\u001B[1;32m 278\u001B[0m \u001B[38;5;66;03m# Note: PDF backends are not thread-safe, thread pool usage was disabled.\u001B[39;00m\n\u001B[0;32m--> 280\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m item \u001B[38;5;129;01min\u001B[39;00m \u001B[38;5;28mmap\u001B[39m(\n\u001B[1;32m 281\u001B[0m partial(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_process_document, raises_on_error\u001B[38;5;241m=\u001B[39mraises_on_error),\n\u001B[1;32m 282\u001B[0m input_batch,\n\u001B[1;32m 283\u001B[0m ):\n\u001B[1;32m 284\u001B[0m elapsed \u001B[38;5;241m=\u001B[39m time\u001B[38;5;241m.\u001B[39mmonotonic() \u001B[38;5;241m-\u001B[39m start_time\n\u001B[1;32m 285\u001B[0m start_time \u001B[38;5;241m=\u001B[39m time\u001B[38;5;241m.\u001B[39mmonotonic()\n",
"File \u001B[0;32m~/PycharmProjects/docling/docling/document_converter.py:326\u001B[0m, in \u001B[0;36mDocumentConverter._process_document\u001B[0;34m(self, in_doc, raises_on_error)\u001B[0m\n\u001B[1;32m 322\u001B[0m valid \u001B[38;5;241m=\u001B[39m (\n\u001B[1;32m 323\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mallowed_formats \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m \u001B[38;5;129;01mand\u001B[39;00m in_doc\u001B[38;5;241m.\u001B[39mformat \u001B[38;5;129;01min\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mallowed_formats\n\u001B[1;32m 324\u001B[0m )\n\u001B[1;32m 325\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m valid:\n\u001B[0;32m--> 326\u001B[0m conv_res \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_execute_pipeline\u001B[49m\u001B[43m(\u001B[49m\u001B[43min_doc\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mraises_on_error\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mraises_on_error\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 327\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[1;32m 328\u001B[0m error_message \u001B[38;5;241m=\u001B[39m \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mFile format not allowed: \u001B[39m\u001B[38;5;132;01m{\u001B[39;00min_doc\u001B[38;5;241m.\u001B[39mfile\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m\"\u001B[39m\n",
"File \u001B[0;32m~/PycharmProjects/docling/docling/document_converter.py:349\u001B[0m, in \u001B[0;36mDocumentConverter._execute_pipeline\u001B[0;34m(self, in_doc, raises_on_error)\u001B[0m\n\u001B[1;32m 347\u001B[0m pipeline \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_get_pipeline(in_doc\u001B[38;5;241m.\u001B[39mformat)\n\u001B[1;32m 348\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m pipeline \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[0;32m--> 349\u001B[0m conv_res \u001B[38;5;241m=\u001B[39m \u001B[43mpipeline\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mexecute\u001B[49m\u001B[43m(\u001B[49m\u001B[43min_doc\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mraises_on_error\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mraises_on_error\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 350\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[1;32m 351\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m raises_on_error:\n",
"File \u001B[0;32m~/PycharmProjects/docling/docling/pipeline/base_pipeline.py:54\u001B[0m, in \u001B[0;36mBasePipeline.execute\u001B[0;34m(self, in_doc, raises_on_error)\u001B[0m\n\u001B[1;32m 52\u001B[0m conv_res\u001B[38;5;241m.\u001B[39mstatus \u001B[38;5;241m=\u001B[39m ConversionStatus\u001B[38;5;241m.\u001B[39mFAILURE\n\u001B[1;32m 53\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m raises_on_error:\n\u001B[0;32m---> 54\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m e\n\u001B[1;32m 55\u001B[0m \u001B[38;5;28;01mfinally\u001B[39;00m:\n\u001B[1;32m 56\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_unload(conv_res)\n",
"File \u001B[0;32m~/PycharmProjects/docling/docling/pipeline/base_pipeline.py:46\u001B[0m, in \u001B[0;36mBasePipeline.execute\u001B[0;34m(self, in_doc, raises_on_error)\u001B[0m\n\u001B[1;32m 40\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m 41\u001B[0m \u001B[38;5;28;01mwith\u001B[39;00m TimeRecorder(\n\u001B[1;32m 42\u001B[0m conv_res, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mpipeline_total\u001B[39m\u001B[38;5;124m\"\u001B[39m, scope\u001B[38;5;241m=\u001B[39mProfilingScope\u001B[38;5;241m.\u001B[39mDOCUMENT\n\u001B[1;32m 43\u001B[0m ):\n\u001B[1;32m 44\u001B[0m \u001B[38;5;66;03m# These steps are building and assembling the structure of the\u001B[39;00m\n\u001B[1;32m 45\u001B[0m \u001B[38;5;66;03m# output DoclingDocument.\u001B[39;00m\n\u001B[0;32m---> 46\u001B[0m conv_res \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_build_document\u001B[49m\u001B[43m(\u001B[49m\u001B[43mconv_res\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 47\u001B[0m conv_res \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_assemble_document(conv_res)\n\u001B[1;32m 48\u001B[0m \u001B[38;5;66;03m# From this stage, all operations should rely only on conv_res.output\u001B[39;00m\n",
"File \u001B[0;32m~/PycharmProjects/docling/docling/pipeline/simple_pipeline.py:40\u001B[0m, in \u001B[0;36mSimplePipeline._build_document\u001B[0;34m(self, conv_res)\u001B[0m\n\u001B[1;32m 33\u001B[0m \u001B[38;5;66;03m# conv_res.status = ConversionStatus.FAILURE\u001B[39;00m\n\u001B[1;32m 34\u001B[0m \u001B[38;5;66;03m# return conv_res\u001B[39;00m\n\u001B[1;32m 35\u001B[0m \n\u001B[1;32m 36\u001B[0m \u001B[38;5;66;03m# Instead of running a page-level pipeline to build up the document structure,\u001B[39;00m\n\u001B[1;32m 37\u001B[0m \u001B[38;5;66;03m# the backend is expected to be of type DeclarativeDocumentBackend, which can output\u001B[39;00m\n\u001B[1;32m 38\u001B[0m \u001B[38;5;66;03m# a DoclingDocument straight.\u001B[39;00m\n\u001B[1;32m 39\u001B[0m \u001B[38;5;28;01mwith\u001B[39;00m TimeRecorder(conv_res, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mdoc_build\u001B[39m\u001B[38;5;124m\"\u001B[39m, scope\u001B[38;5;241m=\u001B[39mProfilingScope\u001B[38;5;241m.\u001B[39mDOCUMENT):\n\u001B[0;32m---> 40\u001B[0m conv_res\u001B[38;5;241m.\u001B[39mdocument \u001B[38;5;241m=\u001B[39m \u001B[43mconv_res\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43minput\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_backend\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mconvert\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 41\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m conv_res\n",
"File \u001B[0;32m~/PycharmProjects/docling/docling/backend/html_backend.py:106\u001B[0m, in \u001B[0;36mBaseHTMLDocumentBackend.convert\u001B[0;34m(self)\u001B[0m\n\u001B[1;32m 101\u001B[0m headers \u001B[38;5;241m=\u001B[39m body\u001B[38;5;241m.\u001B[39mfind(\u001B[38;5;28mlist\u001B[39m(_BLOCK_TAGS))\n\u001B[1;32m 102\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mcontent_layer \u001B[38;5;241m=\u001B[39m (\n\u001B[1;32m 103\u001B[0m ContentLayer\u001B[38;5;241m.\u001B[39mBODY \u001B[38;5;28;01mif\u001B[39;00m headers \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m \u001B[38;5;28;01melse\u001B[39;00m ContentLayer\u001B[38;5;241m.\u001B[39mFURNITURE\n\u001B[1;32m 104\u001B[0m )\n\u001B[0;32m--> 106\u001B[0m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_walk\u001B[49m\u001B[43m(\u001B[49m\u001B[43mbody\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdoc\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mparent\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mdoc\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mbody\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 107\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m doc\n",
"File \u001B[0;32m~/PycharmProjects/docling/docling/backend/html_backend.py:136\u001B[0m, in \u001B[0;36mBaseHTMLDocumentBackend._walk\u001B[0;34m(self, element, doc, parent)\u001B[0m\n\u001B[1;32m 134\u001B[0m \u001B[38;5;28;01melif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(node, Tag) \u001B[38;5;129;01mand\u001B[39;00m node\u001B[38;5;241m.\u001B[39mfind(\u001B[38;5;28mlist\u001B[39m(_BLOCK_TAGS)):\n\u001B[1;32m 135\u001B[0m flush_buffer()\n\u001B[0;32m--> 136\u001B[0m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_walk\u001B[49m\u001B[43m(\u001B[49m\u001B[43mnode\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdoc\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mparent\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 137\u001B[0m \u001B[38;5;28;01melif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(node, Tag):\n\u001B[1;32m 138\u001B[0m buffer\u001B[38;5;241m.\u001B[39mappend(node\u001B[38;5;241m.\u001B[39mget_text())\n",
"File \u001B[0;32m~/PycharmProjects/docling/docling/backend/html_backend.py:136\u001B[0m, in \u001B[0;36mBaseHTMLDocumentBackend._walk\u001B[0;34m(self, element, doc, parent)\u001B[0m\n\u001B[1;32m 134\u001B[0m \u001B[38;5;28;01melif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(node, Tag) \u001B[38;5;129;01mand\u001B[39;00m node\u001B[38;5;241m.\u001B[39mfind(\u001B[38;5;28mlist\u001B[39m(_BLOCK_TAGS)):\n\u001B[1;32m 135\u001B[0m flush_buffer()\n\u001B[0;32m--> 136\u001B[0m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_walk\u001B[49m\u001B[43m(\u001B[49m\u001B[43mnode\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdoc\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mparent\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 137\u001B[0m \u001B[38;5;28;01melif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(node, Tag):\n\u001B[1;32m 138\u001B[0m buffer\u001B[38;5;241m.\u001B[39mappend(node\u001B[38;5;241m.\u001B[39mget_text())\n",
" \u001B[0;31m[... skipping similar frames: BaseHTMLDocumentBackend._walk at line 136 (4 times)]\u001B[0m\n",
"File \u001B[0;32m~/PycharmProjects/docling/docling/backend/html_backend.py:136\u001B[0m, in \u001B[0;36mBaseHTMLDocumentBackend._walk\u001B[0;34m(self, element, doc, parent)\u001B[0m\n\u001B[1;32m 134\u001B[0m \u001B[38;5;28;01melif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(node, Tag) \u001B[38;5;129;01mand\u001B[39;00m node\u001B[38;5;241m.\u001B[39mfind(\u001B[38;5;28mlist\u001B[39m(_BLOCK_TAGS)):\n\u001B[1;32m 135\u001B[0m flush_buffer()\n\u001B[0;32m--> 136\u001B[0m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_walk\u001B[49m\u001B[43m(\u001B[49m\u001B[43mnode\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdoc\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mparent\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 137\u001B[0m \u001B[38;5;28;01melif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(node, Tag):\n\u001B[1;32m 138\u001B[0m buffer\u001B[38;5;241m.\u001B[39mappend(node\u001B[38;5;241m.\u001B[39mget_text())\n",
"File \u001B[0;32m~/PycharmProjects/docling/docling/backend/html_backend.py:133\u001B[0m, in \u001B[0;36mBaseHTMLDocumentBackend._walk\u001B[0;34m(self, element, doc, parent)\u001B[0m\n\u001B[1;32m 131\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(node, Tag) \u001B[38;5;129;01mand\u001B[39;00m node\u001B[38;5;241m.\u001B[39mname\u001B[38;5;241m.\u001B[39mlower() \u001B[38;5;129;01min\u001B[39;00m _BLOCK_TAGS:\n\u001B[1;32m 132\u001B[0m flush_buffer()\n\u001B[0;32m--> 133\u001B[0m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_handle_block\u001B[49m\u001B[43m(\u001B[49m\u001B[43mnode\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdoc\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mparent\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 134\u001B[0m \u001B[38;5;28;01melif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(node, Tag) \u001B[38;5;129;01mand\u001B[39;00m node\u001B[38;5;241m.\u001B[39mfind(\u001B[38;5;28mlist\u001B[39m(_BLOCK_TAGS)):\n\u001B[1;32m 135\u001B[0m flush_buffer()\n",
"File \u001B[0;32m~/PycharmProjects/docling/docling/backend/html_backend.py:201\u001B[0m, in \u001B[0;36mBaseHTMLDocumentBackend._handle_block\u001B[0;34m(self, tag, doc, parent)\u001B[0m\n\u001B[1;32m 198\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_emit_image(img_tag, doc, li_item)\n\u001B[1;32m 200\u001B[0m \u001B[38;5;28;01melif\u001B[39;00m tag_name \u001B[38;5;241m==\u001B[39m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mtable\u001B[39m\u001B[38;5;124m\"\u001B[39m:\n\u001B[0;32m--> 201\u001B[0m data \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_parse_table\u001B[49m\u001B[43m(\u001B[49m\u001B[43mtag\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdoc\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mparent\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 202\u001B[0m doc\u001B[38;5;241m.\u001B[39madd_table(data\u001B[38;5;241m=\u001B[39mdata, parent\u001B[38;5;241m=\u001B[39mparent)\n",
"File \u001B[0;32m~/PycharmProjects/docling/docling/backend/html_backend.py:282\u001B[0m, in \u001B[0;36mBaseHTMLDocumentBackend._parse_table\u001B[0;34m(self, table_tag, doc, parent)\u001B[0m\n\u001B[1;32m 280\u001B[0m cells\u001B[38;5;241m.\u001B[39mappend(cell)\n\u001B[1;32m 281\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m img_tag \u001B[38;5;129;01min\u001B[39;00m cell_tag\u001B[38;5;241m.\u001B[39mfind_all(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mimg\u001B[39m\u001B[38;5;124m\"\u001B[39m, recursive\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mTrue\u001B[39;00m):\n\u001B[0;32m--> 282\u001B[0m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_emit_image\u001B[49m\u001B[43m(\u001B[49m\u001B[43mimg_tag\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdoc\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mcell\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 284\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m dr \u001B[38;5;129;01min\u001B[39;00m \u001B[38;5;28mrange\u001B[39m(rs):\n\u001B[1;32m 285\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m dc \u001B[38;5;129;01min\u001B[39;00m \u001B[38;5;28mrange\u001B[39m(cs):\n",
"File \u001B[0;32m~/PycharmProjects/docling/docling/backend/html_backend.py:211\u001B[0m, in \u001B[0;36mBaseHTMLDocumentBackend._emit_image\u001B[0;34m(self, img_tag, doc, parent)\u001B[0m\n\u001B[1;32m 209\u001B[0m caption_item \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;01mNone\u001B[39;00m\n\u001B[1;32m 210\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m alt:\n\u001B[0;32m--> 211\u001B[0m caption_item \u001B[38;5;241m=\u001B[39m \u001B[43mdoc\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43madd_text\u001B[49m\u001B[43m(\u001B[49m\u001B[43mDocItemLabel\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mCAPTION\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43malt\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mparent\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mparent\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 213\u001B[0m src_url \u001B[38;5;241m=\u001B[39m img_tag\u001B[38;5;241m.\u001B[39mget(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124msrc\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n\u001B[1;32m 214\u001B[0m width \u001B[38;5;241m=\u001B[39m img_tag\u001B[38;5;241m.\u001B[39mget(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mwidth\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m128\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n",
"File \u001B[0;32m~/.cache/pypoetry/virtualenvs/docling-6_27CWgt-py3.10/lib/python3.10/site-packages/docling_core/types/doc/document.py:2246\u001B[0m, in \u001B[0;36mDoclingDocument.add_text\u001B[0;34m(self, label, text, orig, prov, parent, content_layer, formatting, hyperlink)\u001B[0m\n\u001B[1;32m 2239\u001B[0m text_index \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mlen\u001B[39m(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mtexts)\n\u001B[1;32m 2240\u001B[0m cref \u001B[38;5;241m=\u001B[39m \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m#/texts/\u001B[39m\u001B[38;5;132;01m{\u001B[39;00mtext_index\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m\"\u001B[39m\n\u001B[1;32m 2241\u001B[0m text_item \u001B[38;5;241m=\u001B[39m TextItem(\n\u001B[1;32m 2242\u001B[0m label\u001B[38;5;241m=\u001B[39mlabel,\n\u001B[1;32m 2243\u001B[0m text\u001B[38;5;241m=\u001B[39mtext,\n\u001B[1;32m 2244\u001B[0m orig\u001B[38;5;241m=\u001B[39morig,\n\u001B[1;32m 2245\u001B[0m self_ref\u001B[38;5;241m=\u001B[39mcref,\n\u001B[0;32m-> 2246\u001B[0m parent\u001B[38;5;241m=\u001B[39m\u001B[43mparent\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mget_ref\u001B[49m(),\n\u001B[1;32m 2247\u001B[0m formatting\u001B[38;5;241m=\u001B[39mformatting,\n\u001B[1;32m 2248\u001B[0m hyperlink\u001B[38;5;241m=\u001B[39mhyperlink,\n\u001B[1;32m 2249\u001B[0m )\n\u001B[1;32m 2250\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m prov:\n\u001B[1;32m 2251\u001B[0m text_item\u001B[38;5;241m.\u001B[39mprov\u001B[38;5;241m.\u001B[39mappend(prov)\n",
"File \u001B[0;32m~/.cache/pypoetry/virtualenvs/docling-6_27CWgt-py3.10/lib/python3.10/site-packages/pydantic/main.py:989\u001B[0m, in \u001B[0;36mBaseModel.__getattr__\u001B[0;34m(self, item)\u001B[0m\n\u001B[1;32m 986\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28msuper\u001B[39m()\u001B[38;5;241m.\u001B[39m\u001B[38;5;21m__getattribute__\u001B[39m(item) \u001B[38;5;66;03m# Raises AttributeError if appropriate\u001B[39;00m\n\u001B[1;32m 987\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[1;32m 988\u001B[0m \u001B[38;5;66;03m# this is the current error\u001B[39;00m\n\u001B[0;32m--> 989\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mAttributeError\u001B[39;00m(\u001B[38;5;124mf\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;132;01m{\u001B[39;00m\u001B[38;5;28mtype\u001B[39m(\u001B[38;5;28mself\u001B[39m)\u001B[38;5;241m.\u001B[39m\u001B[38;5;18m__name__\u001B[39m\u001B[38;5;132;01m!r}\u001B[39;00m\u001B[38;5;124m object has no attribute \u001B[39m\u001B[38;5;132;01m{\u001B[39;00mitem\u001B[38;5;132;01m!r}\u001B[39;00m\u001B[38;5;124m'\u001B[39m)\n",
"\u001B[0;31mAttributeError\u001B[0m: 'TableCell' object has no attribute 'get_ref'"
]
}
],
"execution_count": 9
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2025-05-24T19:53:14.919066675Z",
"start_time": "2025-05-24T19:49:22.082841Z"
}
},
"cell_type": "code",
"source": "",
"id": "5d325df8ba7fe9d2",
"outputs": [],
"execution_count": null
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2025-05-24T19:53:14.919492904Z",
"start_time": "2025-05-24T19:49:22.138930Z"
}
},
"cell_type": "code",
"source": "document.export_to_dict()",
"id": "32e863ce5e23040b",
"outputs": [
{
"data": {
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" 'orig': 'Contact us',\n",
" 'text': 'Contact us',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/13',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Contribute',\n",
" 'text': 'Contribute'},\n",
" {'self_ref': '#/texts/14',\n",
" 'parent': {'$ref': '#/groups/1'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Help',\n",
" 'text': 'Help',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/15',\n",
" 'parent': {'$ref': '#/groups/1'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Learn to edit',\n",
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" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/16',\n",
" 'parent': {'$ref': '#/groups/1'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Community portal',\n",
" 'text': 'Community portal',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/17',\n",
" 'parent': {'$ref': '#/groups/1'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Recent changes',\n",
" 'text': 'Recent changes',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/18',\n",
" 'parent': {'$ref': '#/groups/1'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Upload file',\n",
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" 'marker': '-'},\n",
" {'self_ref': '#/texts/19',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Search',\n",
" 'text': 'Search'},\n",
" {'self_ref': '#/texts/20',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Search',\n",
" 'text': 'Search'},\n",
" {'self_ref': '#/texts/21',\n",
" 'parent': {'$ref': '#/groups/3'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Donate',\n",
" 'text': 'Donate',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/22',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Appearance',\n",
" 'text': 'Appearance'},\n",
" {'self_ref': '#/texts/23',\n",
" 'parent': {'$ref': '#/groups/5'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Create account',\n",
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" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/24',\n",
" 'parent': {'$ref': '#/groups/5'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Log in',\n",
" 'text': 'Log in',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/25',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Personal tools',\n",
" 'text': 'Personal tools'},\n",
" {'self_ref': '#/texts/26',\n",
" 'parent': {'$ref': '#/groups/6'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Create account',\n",
" 'text': 'Create account',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/27',\n",
" 'parent': {'$ref': '#/groups/6'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Log in',\n",
" 'text': 'Log in',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/28',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Pages for logged out editors learn more',\n",
" 'text': 'Pages for logged out editors learn more'},\n",
" {'self_ref': '#/texts/29',\n",
" 'parent': {'$ref': '#/groups/7'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Contributions',\n",
" 'text': 'Contributions',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/30',\n",
" 'parent': {'$ref': '#/groups/7'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Talk',\n",
" 'text': 'Talk',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/31',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'section_header',\n",
" 'prov': [],\n",
" 'orig': 'Contents',\n",
" 'text': 'Contents',\n",
" 'level': 2},\n",
" {'self_ref': '#/texts/32',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'move to sidebar',\n",
" 'text': 'move to sidebar'},\n",
" {'self_ref': '#/texts/33',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'hide',\n",
" 'text': 'hide'},\n",
" {'self_ref': '#/texts/34',\n",
" 'parent': {'$ref': '#/groups/8'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '(Top)',\n",
" 'text': '(Top)',\n",
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" 'marker': '-'},\n",
" {'self_ref': '#/texts/35',\n",
" 'parent': {'$ref': '#/groups/8'},\n",
" 'children': [{'$ref': '#/groups/9'}],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '1 Etymology',\n",
" 'text': '1 Etymology',\n",
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" 'marker': '-'},\n",
" {'self_ref': '#/texts/36',\n",
" 'parent': {'$ref': '#/groups/8'},\n",
" 'children': [{'$ref': '#/groups/10'}],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '2 Taxonomy',\n",
" 'text': '2 Taxonomy',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/37',\n",
" 'parent': {'$ref': '#/groups/8'},\n",
" 'children': [{'$ref': '#/groups/11'}],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '3 Morphology',\n",
" 'text': '3 Morphology',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/38',\n",
" 'parent': {'$ref': '#/groups/8'},\n",
" 'children': [{'$ref': '#/groups/12'}],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '4 Distribution and habitat',\n",
" 'text': '4 Distribution and habitat',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/39',\n",
" 'parent': {'$ref': '#/groups/8'},\n",
" 'children': [{'$ref': '#/groups/13'}],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '5 Behaviour Toggle Behaviour subsection',\n",
" 'text': '5 Behaviour Toggle Behaviour subsection',\n",
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" 'marker': '-'},\n",
" {'self_ref': '#/texts/40',\n",
" 'parent': {'$ref': '#/groups/13'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '5.1 Feeding',\n",
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" 'marker': '-'},\n",
" {'self_ref': '#/texts/41',\n",
" 'parent': {'$ref': '#/groups/13'},\n",
" 'children': [{'$ref': '#/groups/14'}],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '5.2 Breeding',\n",
" 'text': '5.2 Breeding',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/42',\n",
" 'parent': {'$ref': '#/groups/13'},\n",
" 'children': [{'$ref': '#/groups/15'}],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': \"What if we have some random text here. , or here... 5.3 Communication ....or maybe here?\\n\\t\\t\\t\\tThis is the last garbage I'm adding today.\",\n",
" 'text': \"What if we have some random text here. , or here... 5.3 Communication ....or maybe here?\\n\\t\\t\\t\\tThis is the last garbage I'm adding today.\",\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/43',\n",
" 'parent': {'$ref': '#/groups/13'},\n",
" 'children': [{'$ref': '#/groups/16'}],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '5.4 Predators',\n",
" 'text': '5.4 Predators',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/44',\n",
" 'parent': {'$ref': '#/groups/8'},\n",
" 'children': [{'$ref': '#/groups/17'}],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '6 Relationship with humans Toggle Relationship with humans subsection',\n",
" 'text': '6 Relationship with humans Toggle Relationship with humans subsection',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/45',\n",
" 'parent': {'$ref': '#/groups/17'},\n",
" 'children': [{'$ref': '#/groups/18'}],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '6.1 Hunting',\n",
" 'text': '6.1 Hunting',\n",
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" 'marker': '-'},\n",
" {'self_ref': '#/texts/46',\n",
" 'parent': {'$ref': '#/groups/17'},\n",
" 'children': [{'$ref': '#/groups/19'}],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '6.2 Domestication',\n",
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" 'marker': '-'},\n",
" {'self_ref': '#/texts/47',\n",
" 'parent': {'$ref': '#/groups/17'},\n",
" 'children': [{'$ref': '#/groups/20'}],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '6.3 Heraldry',\n",
" 'text': '6.3 Heraldry',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/48',\n",
" 'parent': {'$ref': '#/groups/17'},\n",
" 'children': [{'$ref': '#/groups/21'}],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '6.4 Cultural references',\n",
" 'text': '6.4 Cultural references',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/49',\n",
" 'parent': {'$ref': '#/groups/8'},\n",
" 'children': [{'$ref': '#/groups/22'}],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '7 See also',\n",
" 'text': '7 See also',\n",
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" 'marker': '-'},\n",
" {'self_ref': '#/texts/50',\n",
" 'parent': {'$ref': '#/groups/8'},\n",
" 'children': [{'$ref': '#/groups/23'}],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '8 Notes Toggle Notes subsection',\n",
" 'text': '8 Notes Toggle Notes subsection',\n",
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" 'marker': '-'},\n",
" {'self_ref': '#/texts/51',\n",
" 'parent': {'$ref': '#/groups/23'},\n",
" 'children': [{'$ref': '#/groups/24'}],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '8.1 Citations',\n",
" 'text': '8.1 Citations',\n",
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" 'marker': '-'},\n",
" {'self_ref': '#/texts/52',\n",
" 'parent': {'$ref': '#/groups/23'},\n",
" 'children': [{'$ref': '#/groups/25'}],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '8.2 Sources',\n",
" 'text': '8.2 Sources',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/53',\n",
" 'parent': {'$ref': '#/groups/8'},\n",
" 'children': [{'$ref': '#/groups/26'}],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '9 External links',\n",
" 'text': '9 External links',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/54',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Toggle the table of contents',\n",
" 'text': 'Toggle the table of contents'},\n",
" {'self_ref': '#/texts/55',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'section_header',\n",
" 'prov': [],\n",
" 'orig': 'Duck',\n",
" 'text': 'Duck',\n",
" 'level': 1},\n",
" {'self_ref': '#/texts/56',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': '136 languages',\n",
" 'text': '136 languages'},\n",
" {'self_ref': '#/texts/57',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Acèh',\n",
" 'text': 'Acèh',\n",
" 'enumerated': False,\n",
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" {'self_ref': '#/texts/58',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Afrikaans',\n",
" 'text': 'Afrikaans',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/59',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Alemannisch',\n",
" 'text': 'Alemannisch',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/60',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'አማርኛ',\n",
" 'text': 'አማርኛ',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/61',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Ænglisc',\n",
" 'text': 'Ænglisc',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/62',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'العربية',\n",
" 'text': 'العربية',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/63',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Aragonés',\n",
" 'text': 'Aragonés',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/64',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'ܐܪܡܝܐ',\n",
" 'text': 'ܐܪܡܝܐ',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/65',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Armãneashti',\n",
" 'text': 'Armãneashti',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/66',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Asturianu',\n",
" 'text': 'Asturianu',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/67',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Atikamekw',\n",
" 'text': 'Atikamekw',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/68',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Авар',\n",
" 'text': 'Авар',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/69',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Aymar aru',\n",
" 'text': 'Aymar aru',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/70',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'تۆرکجه',\n",
" 'text': 'تۆرکجه',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/71',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Basa Bali',\n",
" 'text': 'Basa Bali',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/72',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'বাংলা',\n",
" 'text': 'বাংলা',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/73',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '閩南語 / Bân-lâm-gú',\n",
" 'text': '閩南語 / Bân-lâm-gú',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/74',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Беларуская',\n",
" 'text': 'Беларуская',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/75',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Беларуская (тарашкевіца)',\n",
" 'text': 'Беларуская (тарашкевіца)',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/76',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Bikol Central',\n",
" 'text': 'Bikol Central',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/77',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Български',\n",
" 'text': 'Български',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/78',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Brezhoneg',\n",
" 'text': 'Brezhoneg',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/79',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Буряад',\n",
" 'text': 'Буряад',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/80',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Català',\n",
" 'text': 'Català',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/81',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Чӑвашла',\n",
" 'text': 'Чӑвашла',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/82',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Čeština',\n",
" 'text': 'Čeština',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/83',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'ChiShona',\n",
" 'text': 'ChiShona',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/84',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Cymraeg',\n",
" 'text': 'Cymraeg',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/85',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Dagbanli',\n",
" 'text': 'Dagbanli',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/86',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Dansk',\n",
" 'text': 'Dansk',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/87',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Deitsch',\n",
" 'text': 'Deitsch',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/88',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Deutsch',\n",
" 'text': 'Deutsch',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/89',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'डोटेली',\n",
" 'text': 'डोटेली',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/90',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Ελληνικά',\n",
" 'text': 'Ελληνικά',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/91',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Emiliàn e rumagnòl',\n",
" 'text': 'Emiliàn e rumagnòl',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/92',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Español',\n",
" 'text': 'Español',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/93',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Esperanto',\n",
" 'text': 'Esperanto',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/94',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Euskara',\n",
" 'text': 'Euskara',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/95',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'فارسی',\n",
" 'text': 'فارسی',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/96',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Français',\n",
" 'text': 'Français',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/97',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Gaeilge',\n",
" 'text': 'Gaeilge',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/98',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Galego',\n",
" 'text': 'Galego',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/99',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'ГӀалгӀай',\n",
" 'text': 'ГӀалгӀай',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/100',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '贛語',\n",
" 'text': '贛語',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/101',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'گیلکی',\n",
" 'text': 'گیلکی',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/102',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '𐌲𐌿𐍄𐌹𐍃𐌺',\n",
" 'text': '𐌲𐌿𐍄𐌹𐍃𐌺',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/103',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'गोंयची कोंकणी / Gõychi Konknni',\n",
" 'text': 'गोंयची कोंकणी / Gõychi Konknni',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/104',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '客家語 / Hak-kâ-ngî',\n",
" 'text': '客家語 / Hak-kâ-ngî',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/105',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '한국어',\n",
" 'text': '한국어',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/106',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Hausa',\n",
" 'text': 'Hausa',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/107',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Հայերեն',\n",
" 'text': 'Հայերեն',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/108',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'हिन्दी',\n",
" 'text': 'हिन्दी',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/109',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Hrvatski',\n",
" 'text': 'Hrvatski',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/110',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Ido',\n",
" 'text': 'Ido',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/111',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Bahasa Indonesia',\n",
" 'text': 'Bahasa Indonesia',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/112',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Iñupiatun',\n",
" 'text': 'Iñupiatun',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/113',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Íslenska',\n",
" 'text': 'Íslenska',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/114',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Italiano',\n",
" 'text': 'Italiano',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/115',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'עברית',\n",
" 'text': 'עברית',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/116',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Jawa',\n",
" 'text': 'Jawa',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/117',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'ಕನ್ನಡ',\n",
" 'text': 'ಕನ್ನಡ',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/118',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Kapampangan',\n",
" 'text': 'Kapampangan',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/119',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'ქართული',\n",
" 'text': 'ქართული',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/120',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'कॉशुर / کٲشُر',\n",
" 'text': 'कॉशुर / کٲشُر',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/121',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Қазақша',\n",
" 'text': 'Қазақша',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/122',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Ikirundi',\n",
" 'text': 'Ikirundi',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/123',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Kongo',\n",
" 'text': 'Kongo',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/124',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Kreyòl ayisyen',\n",
" 'text': 'Kreyòl ayisyen',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/125',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Кырык мары',\n",
" 'text': 'Кырык мары',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/126',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'ລາວ',\n",
" 'text': 'ລາວ',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/127',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Latina',\n",
" 'text': 'Latina',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/128',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Latviešu',\n",
" 'text': 'Latviešu',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/129',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Lietuvių',\n",
" 'text': 'Lietuvių',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/130',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Li Niha',\n",
" 'text': 'Li Niha',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/131',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Ligure',\n",
" 'text': 'Ligure',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/132',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Limburgs',\n",
" 'text': 'Limburgs',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/133',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Lingála',\n",
" 'text': 'Lingála',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/134',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Malagasy',\n",
" 'text': 'Malagasy',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/135',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'മലയാളം',\n",
" 'text': 'മലയാളം',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/136',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'मराठी',\n",
" 'text': 'मराठी',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/137',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'مازِرونی',\n",
" 'text': 'مازِرونی',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/138',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Bahasa Melayu',\n",
" 'text': 'Bahasa Melayu',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/139',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'ꯃꯤꯇꯩ ꯂꯣꯟ',\n",
" 'text': 'ꯃꯤꯇꯩ ꯂꯣꯟ',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/140',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '閩東語 / Mìng-dĕ̤ng-ngṳ̄',\n",
" 'text': '閩東語 / Mìng-dĕ̤ng-ngṳ̄',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/141',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Мокшень',\n",
" 'text': 'Мокшень',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/142',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Монгол',\n",
" 'text': 'Монгол',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/143',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'မြန်မာဘာသာ',\n",
" 'text': 'မြန်မာဘာသာ',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/144',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Nederlands',\n",
" 'text': 'Nederlands',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/145',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Nedersaksies',\n",
" 'text': 'Nedersaksies',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/146',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'नेपाली',\n",
" 'text': 'नेपाली',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/147',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'नेपाल भाषा',\n",
" 'text': 'नेपाल भाषा',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/148',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '日本語',\n",
" 'text': '日本語',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/149',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Нохчийн',\n",
" 'text': 'Нохчийн',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/150',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Norsk nynorsk',\n",
" 'text': 'Norsk nynorsk',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/151',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Occitan',\n",
" 'text': 'Occitan',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/152',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Oromoo',\n",
" 'text': 'Oromoo',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/153',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'ਪੰਜਾਬੀ',\n",
" 'text': 'ਪੰਜਾਬੀ',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/154',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Picard',\n",
" 'text': 'Picard',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/155',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Plattdüütsch',\n",
" 'text': 'Plattdüütsch',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/156',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Polski',\n",
" 'text': 'Polski',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/157',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Português',\n",
" 'text': 'Português',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/158',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Qırımtatarca',\n",
" 'text': 'Qırımtatarca',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/159',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Română',\n",
" 'text': 'Română',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/160',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Русский',\n",
" 'text': 'Русский',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/161',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Саха тыла',\n",
" 'text': 'Саха тыла',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/162',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'ᱥᱟᱱᱛᱟᱲᱤ',\n",
" 'text': 'ᱥᱟᱱᱛᱟᱲᱤ',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/163',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Sardu',\n",
" 'text': 'Sardu',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/164',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Scots',\n",
" 'text': 'Scots',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/165',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Seeltersk',\n",
" 'text': 'Seeltersk',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/166',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Shqip',\n",
" 'text': 'Shqip',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/167',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Sicilianu',\n",
" 'text': 'Sicilianu',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/168',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'සිංහල',\n",
" 'text': 'සිංහල',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/169',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Simple English',\n",
" 'text': 'Simple English',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/170',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'سنڌي',\n",
" 'text': 'سنڌي',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/171',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'کوردی',\n",
" 'text': 'کوردی',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/172',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Српски / srpski',\n",
" 'text': 'Српски / srpski',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/173',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Srpskohrvatski / српскохрватски',\n",
" 'text': 'Srpskohrvatski / српскохрватски',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/174',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Sunda',\n",
" 'text': 'Sunda',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/175',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Svenska',\n",
" 'text': 'Svenska',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/176',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Tagalog',\n",
" 'text': 'Tagalog',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/177',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'தமிழ்',\n",
" 'text': 'தமிழ்',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/178',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Taqbaylit',\n",
" 'text': 'Taqbaylit',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/179',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Татарча / tatarça',\n",
" 'text': 'Татарча / tatarça',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/180',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'ไทย',\n",
" 'text': 'ไทย',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/181',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Türkçe',\n",
" 'text': 'Türkçe',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/182',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Українська',\n",
" 'text': 'Українська',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/183',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'ئۇيغۇرچە / Uyghurche',\n",
" 'text': 'ئۇيغۇرچە / Uyghurche',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/184',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Vahcuengh',\n",
" 'text': 'Vahcuengh',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/185',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Tiếng Việt',\n",
" 'text': 'Tiếng Việt',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/186',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Walon',\n",
" 'text': 'Walon',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/187',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '文言',\n",
" 'text': '文言',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/188',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Winaray',\n",
" 'text': 'Winaray',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/189',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '吴语',\n",
" 'text': '吴语',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/190',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '粵語',\n",
" 'text': '粵語',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/191',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Žemaitėška',\n",
" 'text': 'Žemaitėška',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/192',\n",
" 'parent': {'$ref': '#/groups/27'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '中文',\n",
" 'text': '中文',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
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" {'self_ref': '#/texts/205',\n",
" 'parent': {'$ref': '#/groups/31'},\n",
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" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
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" {'self_ref': '#/texts/206',\n",
" 'parent': {'$ref': '#/groups/31'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'View source',\n",
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" 'enumerated': False,\n",
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" {'self_ref': '#/texts/207',\n",
" 'parent': {'$ref': '#/groups/31'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'View history',\n",
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" 'enumerated': False,\n",
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" {'self_ref': '#/texts/208',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
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" 'prov': [],\n",
" 'orig': 'General',\n",
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" {'self_ref': '#/texts/209',\n",
" 'parent': {'$ref': '#/groups/32'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'What links here',\n",
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" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/210',\n",
" 'parent': {'$ref': '#/groups/32'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
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" 'orig': 'Related changes',\n",
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" 'enumerated': False,\n",
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" {'self_ref': '#/texts/211',\n",
" 'parent': {'$ref': '#/groups/32'},\n",
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" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
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" 'orig': 'Upload file',\n",
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" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/212',\n",
" 'parent': {'$ref': '#/groups/32'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
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" 'orig': 'Special pages',\n",
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" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/213',\n",
" 'parent': {'$ref': '#/groups/32'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Permanent link',\n",
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" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/214',\n",
" 'parent': {'$ref': '#/groups/32'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
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" 'enumerated': False,\n",
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" {'self_ref': '#/texts/215',\n",
" 'parent': {'$ref': '#/groups/32'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
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" 'orig': 'Cite this page',\n",
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" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/216',\n",
" 'parent': {'$ref': '#/groups/32'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
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" {'self_ref': '#/texts/217',\n",
" 'parent': {'$ref': '#/groups/32'},\n",
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" {'self_ref': '#/texts/218',\n",
" 'parent': {'$ref': '#/groups/32'},\n",
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" 'parent': {'$ref': '#/groups/33'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
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" 'enumerated': False,\n",
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" {'self_ref': '#/texts/222',\n",
" 'parent': {'$ref': '#/body'},\n",
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" 'enumerated': False,\n",
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" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
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" 'orig': 'Appearance',\n",
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" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
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" 'orig': 'move to sidebar',\n",
" 'text': 'move to sidebar'},\n",
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" 'parent': {'$ref': '#/body'},\n",
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" 'content_layer': 'body',\n",
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" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
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" 'label': 'text',\n",
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" 'orig': 'From Wikipedia, the free encyclopedia',\n",
" 'text': 'From Wikipedia, the free encyclopedia'},\n",
" {'self_ref': '#/texts/229',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
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" 'orig': '(Redirected from Duckling)',\n",
" 'text': '(Redirected from Duckling)'},\n",
" {'self_ref': '#/texts/230',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Common name for many species of bird',\n",
" 'text': 'Common name for many species of bird'},\n",
" {'self_ref': '#/texts/231',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'This article is about the bird. For duck as a food, see Duck as food. For other uses, see Duck (disambiguation).',\n",
" 'text': 'This article is about the bird. For duck as a food, see Duck as food. For other uses, see Duck (disambiguation).'},\n",
" {'self_ref': '#/texts/232',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': '\"Duckling\" redirects here. For other uses, see Duckling (disambiguation).',\n",
" 'text': '\"Duckling\" redirects here. For other uses, see Duckling (disambiguation).'},\n",
" {'self_ref': '#/texts/233',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
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" 'orig': 'Duck is the common name for numerous species of waterfowl in the family Anatidae. Ducks are generally smaller and shorter-necked than swans and geese, which are members of the same family. Divided among several subfamilies, they are a form taxon; they do not represent a monophyletic group (the group of all descendants of a single common ancestral species), since swans and geese are not considered ducks. Ducks are mostly aquatic birds, and may be found in both fresh water and sea water.',\n",
" 'text': 'Duck is the common name for numerous species of waterfowl in the family Anatidae. Ducks are generally smaller and shorter-necked than swans and geese, which are members of the same family. Divided among several subfamilies, they are a form taxon; they do not represent a monophyletic group (the group of all descendants of a single common ancestral species), since swans and geese are not considered ducks. Ducks are mostly aquatic birds, and may be found in both fresh water and sea water.'},\n",
" {'self_ref': '#/texts/234',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Ducks are sometimes confused with several types of unrelated water birds with similar forms, such as loons or divers, grebes, gallinules and coots.',\n",
" 'text': 'Ducks are sometimes confused with several types of unrelated water birds with similar forms, such as loons or divers, grebes, gallinules and coots.'},\n",
" {'self_ref': '#/texts/235',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
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" 'label': 'section_header',\n",
" 'prov': [],\n",
" 'orig': 'Etymology',\n",
" 'text': 'Etymology',\n",
" 'level': 2},\n",
" {'self_ref': '#/texts/236',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': \"The word duck comes from Old English dūce 'diver', a derivative of the verb *dūcan 'to duck, bend down low as if to get under something, or dive', because of the way many species in the dabbling duck group feed by upending; compare with Dutch duiken and German tauchen 'to dive'.\",\n",
" 'text': \"The word duck comes from Old English dūce 'diver', a derivative of the verb *dūcan 'to duck, bend down low as if to get under something, or dive', because of the way many species in the dabbling duck group feed by upending; compare with Dutch duiken and German tauchen 'to dive'.\"},\n",
" {'self_ref': '#/texts/237',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Pacific black duck displaying the characteristic upending \"duck\"',\n",
" 'text': 'Pacific black duck displaying the characteristic upending \"duck\"'},\n",
" {'self_ref': '#/texts/238',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'This word replaced Old English ened /ænid \\'duck\\', possibly to avoid confusion with other words, such as ende \\'end\\' with similar forms. Other Germanic languages still have similar words for duck, for example, Dutch eend, German Ente and Norwegian and. The word ened /ænid was inherited from Proto-Indo-European; cf. Latin anas \"duck\", Lithuanian ántis \\'duck\\', Ancient Greek νῆσσα /νῆττα (nēssa /nētta) \\'duck\\', and Sanskrit ātí \\'water bird\\', among others.',\n",
" 'text': 'This word replaced Old English ened /ænid \\'duck\\', possibly to avoid confusion with other words, such as ende \\'end\\' with similar forms. Other Germanic languages still have similar words for duck, for example, Dutch eend, German Ente and Norwegian and. The word ened /ænid was inherited from Proto-Indo-European; cf. Latin anas \"duck\", Lithuanian ántis \\'duck\\', Ancient Greek νῆσσα /νῆττα (nēssa /nētta) \\'duck\\', and Sanskrit ātí \\'water bird\\', among others.'},\n",
" {'self_ref': '#/texts/239',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'A duckling is a young duck in downy plumage[1] or baby duck,[2] but in the food trade a young domestic duck which has just reached adult size and bulk and its meat is still fully tender, is sometimes labelled as a duckling.',\n",
" 'text': 'A duckling is a young duck in downy plumage[1] or baby duck,[2] but in the food trade a young domestic duck which has just reached adult size and bulk and its meat is still fully tender, is sometimes labelled as a duckling.'},\n",
" {'self_ref': '#/texts/240',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'A male is called a drake and the female is called a duck, or in ornithology a hen.[3][4]',\n",
" 'text': 'A male is called a drake and the female is called a duck, or in ornithology a hen.[3][4]'},\n",
" {'self_ref': '#/texts/241',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Male mallard.',\n",
" 'text': 'Male mallard.'},\n",
" {'self_ref': '#/texts/242',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Wood ducks.',\n",
" 'text': 'Wood ducks.'},\n",
" {'self_ref': '#/texts/243',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'section_header',\n",
" 'prov': [],\n",
" 'orig': 'Taxonomy',\n",
" 'text': 'Taxonomy',\n",
" 'level': 2},\n",
" {'self_ref': '#/texts/244',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': \"All ducks belong to the biological order Anseriformes, a group that contains the ducks, geese and swans, as well as the screamers, and the magpie goose.[5] All except the screamers belong to the biological family Anatidae.[5] Within the family, ducks are split into a variety of subfamilies and 'tribes'. The number and composition of these subfamilies and tribes is the cause of considerable disagreement among taxonomists.[5] Some base their decisions on morphological characteristics, others on shared behaviours or genetic studies.[6][7] The number of suggested subfamilies containing ducks ranges from two to five.[8][9] The significant level of hybridisation that occurs among wild ducks complicates efforts to tease apart the relationships between various species.[9]\",\n",
" 'text': \"All ducks belong to the biological order Anseriformes, a group that contains the ducks, geese and swans, as well as the screamers, and the magpie goose.[5] All except the screamers belong to the biological family Anatidae.[5] Within the family, ducks are split into a variety of subfamilies and 'tribes'. The number and composition of these subfamilies and tribes is the cause of considerable disagreement among taxonomists.[5] Some base their decisions on morphological characteristics, others on shared behaviours or genetic studies.[6][7] The number of suggested subfamilies containing ducks ranges from two to five.[8][9] The significant level of hybridisation that occurs among wild ducks complicates efforts to tease apart the relationships between various species.[9]\"},\n",
" {'self_ref': '#/texts/245',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Mallard landing in approach',\n",
" 'text': 'Mallard landing in approach'},\n",
" {'self_ref': '#/texts/246',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': \"In most modern classifications, the so-called 'true ducks' belong to the subfamily Anatinae, which is further split into a varying number of tribes.[10] The largest of these, the Anatini, contains the 'dabbling' or 'river' ducks named for their method of feeding primarily at the surface of fresh water.[11] The 'diving ducks', also named for their primary feeding method, make up the tribe Aythyini.[12] The 'sea ducks' of the tribe Mergini are diving ducks which specialise on fish and shellfish and spend a majority of their lives in saltwater.[13] The tribe Oxyurini contains the 'stifftails', diving ducks notable for their small size and stiff, upright tails.[14]\",\n",
" 'text': \"In most modern classifications, the so-called 'true ducks' belong to the subfamily Anatinae, which is further split into a varying number of tribes.[10] The largest of these, the Anatini, contains the 'dabbling' or 'river' ducks named for their method of feeding primarily at the surface of fresh water.[11] The 'diving ducks', also named for their primary feeding method, make up the tribe Aythyini.[12] The 'sea ducks' of the tribe Mergini are diving ducks which specialise on fish and shellfish and spend a majority of their lives in saltwater.[13] The tribe Oxyurini contains the 'stifftails', diving ducks notable for their small size and stiff, upright tails.[14]\"},\n",
" {'self_ref': '#/texts/247',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': \"A number of other species called ducks are not considered to be 'true ducks', and are typically placed in other subfamilies or tribes. The whistling ducks are assigned either to a tribe (Dendrocygnini) in the subfamily Anatinae or the subfamily Anserinae,[15] or to their own subfamily (Dendrocygninae) or family (Dendrocyganidae).[9][16] The freckled duck of Australia is either the sole member of the tribe Stictonettini in the subfamily Anserinae,[15] or in its own family, the Stictonettinae.[9] The shelducks make up the tribe Tadornini in the family Anserinae in some classifications,[15] and their own subfamily, Tadorninae, in others,[17] while the steamer ducks are either placed in the family Anserinae in the tribe Tachyerini[15] or lumped with the shelducks in the tribe Tadorini.[9] The perching ducks make up in the tribe Cairinini in the subfamily Anserinae in some classifications, while that tribe is eliminated in other classifications and its members assigned to the tribe Anatini.[9] The torrent duck is generally included in the subfamily Anserinae in the monotypic tribe Merganettini,[15] but is sometimes included in the tribe Tadornini.[18] The pink-eared duck is sometimes included as a true duck either in the tribe Anatini[15] or the tribe Malacorhynchini,[19] and other times is included with the shelducks in the tribe Tadornini.[15]\",\n",
" 'text': \"A number of other species called ducks are not considered to be 'true ducks', and are typically placed in other subfamilies or tribes. The whistling ducks are assigned either to a tribe (Dendrocygnini) in the subfamily Anatinae or the subfamily Anserinae,[15] or to their own subfamily (Dendrocygninae) or family (Dendrocyganidae).[9][16] The freckled duck of Australia is either the sole member of the tribe Stictonettini in the subfamily Anserinae,[15] or in its own family, the Stictonettinae.[9] The shelducks make up the tribe Tadornini in the family Anserinae in some classifications,[15] and their own subfamily, Tadorninae, in others,[17] while the steamer ducks are either placed in the family Anserinae in the tribe Tachyerini[15] or lumped with the shelducks in the tribe Tadorini.[9] The perching ducks make up in the tribe Cairinini in the subfamily Anserinae in some classifications, while that tribe is eliminated in other classifications and its members assigned to the tribe Anatini.[9] The torrent duck is generally included in the subfamily Anserinae in the monotypic tribe Merganettini,[15] but is sometimes included in the tribe Tadornini.[18] The pink-eared duck is sometimes included as a true duck either in the tribe Anatini[15] or the tribe Malacorhynchini,[19] and other times is included with the shelducks in the tribe Tadornini.[15]\"},\n",
" {'self_ref': '#/texts/248',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'section_header',\n",
" 'prov': [],\n",
" 'orig': 'Morphology',\n",
" 'text': 'Morphology',\n",
" 'level': 2},\n",
" {'self_ref': '#/texts/249',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Male Mandarin duck',\n",
" 'text': 'Male Mandarin duck'},\n",
" {'self_ref': '#/texts/250',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'The overall body plan of ducks is elongated and broad, and they are also relatively long-necked, albeit not as long-necked as the geese and swans. The body shape of diving ducks varies somewhat from this in being more rounded. The bill is usually broad and contains serrated pectens, which are particularly well defined in the filter-feeding species. In the case of some fishing species the bill is long and strongly serrated. The scaled legs are strong and well developed, and generally set far back on the body, more so in the highly aquatic species. The wings are very strong and are generally short and pointed, and the flight of ducks requires fast continuous strokes, requiring in turn strong wing muscles. Three species of steamer duck are almost flightless, however. Many species of duck are temporarily flightless while moulting; they seek out protected habitat with good food supplies during this period. This moult typically precedes migration.',\n",
" 'text': 'The overall body plan of ducks is elongated and broad, and they are also relatively long-necked, albeit not as long-necked as the geese and swans. The body shape of diving ducks varies somewhat from this in being more rounded. The bill is usually broad and contains serrated pectens, which are particularly well defined in the filter-feeding species. In the case of some fishing species the bill is long and strongly serrated. The scaled legs are strong and well developed, and generally set far back on the body, more so in the highly aquatic species. The wings are very strong and are generally short and pointed, and the flight of ducks requires fast continuous strokes, requiring in turn strong wing muscles. Three species of steamer duck are almost flightless, however. Many species of duck are temporarily flightless while moulting; they seek out protected habitat with good food supplies during this period. This moult typically precedes migration.'},\n",
" {'self_ref': '#/texts/251',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'The drakes of northern species often have extravagant plumage, but that is moulted in summer to give a more female-like appearance, the \"eclipse\" plumage. Southern resident species typically show less sexual dimorphism, although there are exceptions such as the paradise shelduck of New Zealand, which is both strikingly sexually dimorphic and in which the female\\'s plumage is brighter than that of the male. The plumage of juvenile birds generally resembles that of the female. Female ducks have evolved to have a corkscrew shaped vagina to prevent rape.',\n",
" 'text': 'The drakes of northern species often have extravagant plumage, but that is moulted in summer to give a more female-like appearance, the \"eclipse\" plumage. Southern resident species typically show less sexual dimorphism, although there are exceptions such as the paradise shelduck of New Zealand, which is both strikingly sexually dimorphic and in which the female\\'s plumage is brighter than that of the male. The plumage of juvenile birds generally resembles that of the female. Female ducks have evolved to have a corkscrew shaped vagina to prevent rape.'},\n",
" {'self_ref': '#/texts/252',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'section_header',\n",
" 'prov': [],\n",
" 'orig': 'Distribution and habitat',\n",
" 'text': 'Distribution and habitat',\n",
" 'level': 2},\n",
" {'self_ref': '#/texts/253',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'See also: List of Anseriformes by population',\n",
" 'text': 'See also: List of Anseriformes by population'},\n",
" {'self_ref': '#/texts/254',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Flying steamer ducks in Ushuaia, Argentina',\n",
" 'text': 'Flying steamer ducks in Ushuaia, Argentina'},\n",
" {'self_ref': '#/texts/255',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Ducks have a cosmopolitan distribution, and are found on every continent except Antarctica.[5] Several species manage to live on subantarctic islands, including South Georgia and the Auckland Islands.[20] Ducks have reached a number of isolated oceanic islands, including the Hawaiian Islands, Micronesia and the Galápagos Islands, where they are often vagrants and less often residents.[21][22] A handful are endemic to such far-flung islands.[21]',\n",
" 'text': 'Ducks have a cosmopolitan distribution, and are found on every continent except Antarctica.[5] Several species manage to live on subantarctic islands, including South Georgia and the Auckland Islands.[20] Ducks have reached a number of isolated oceanic islands, including the Hawaiian Islands, Micronesia and the Galápagos Islands, where they are often vagrants and less often residents.[21][22] A handful are endemic to such far-flung islands.[21]'},\n",
" {'self_ref': '#/texts/256',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Female mallard in Cornwall, England',\n",
" 'text': 'Female mallard in Cornwall, England'},\n",
" {'self_ref': '#/texts/257',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Some duck species, mainly those breeding in the temperate and Arctic Northern Hemisphere, are migratory; those in the tropics are generally not. Some ducks, particularly in Australia where rainfall is erratic, are nomadic, seeking out the temporary lakes and pools that form after localised heavy rain.[23]',\n",
" 'text': 'Some duck species, mainly those breeding in the temperate and Arctic Northern Hemisphere, are migratory; those in the tropics are generally not. Some ducks, particularly in Australia where rainfall is erratic, are nomadic, seeking out the temporary lakes and pools that form after localised heavy rain.[23]'},\n",
" {'self_ref': '#/texts/258',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'section_header',\n",
" 'prov': [],\n",
" 'orig': 'Behaviour',\n",
" 'text': 'Behaviour',\n",
" 'level': 2},\n",
" {'self_ref': '#/texts/259',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'section_header',\n",
" 'prov': [],\n",
" 'orig': 'Feeding',\n",
" 'text': 'Feeding',\n",
" 'level': 3},\n",
" {'self_ref': '#/texts/260',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Pecten along the bill',\n",
" 'text': 'Pecten along the bill'},\n",
" {'self_ref': '#/texts/261',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Mallard duckling preening',\n",
" 'text': 'Mallard duckling preening'},\n",
" {'self_ref': '#/texts/262',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Ducks eat food sources such as grasses, aquatic plants, fish, insects, small amphibians, worms, and small molluscs.',\n",
" 'text': 'Ducks eat food sources such as grasses, aquatic plants, fish, insects, small amphibians, worms, and small molluscs.'},\n",
" {'self_ref': '#/texts/263',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Dabbling ducks feed on the surface of water or on land, or as deep as they can reach by up-ending without completely submerging.[24] Along the edge of the bill, there is a comb-like structure called a pecten. This strains the water squirting from the side of the bill and traps any food. The pecten is also used to preen feathers and to hold slippery food items.',\n",
" 'text': 'Dabbling ducks feed on the surface of water or on land, or as deep as they can reach by up-ending without completely submerging.[24] Along the edge of the bill, there is a comb-like structure called a pecten. This strains the water squirting from the side of the bill and traps any food. The pecten is also used to preen feathers and to hold slippery food items.'},\n",
" {'self_ref': '#/texts/264',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Diving ducks and sea ducks forage deep underwater. To be able to submerge more easily, the diving ducks are heavier than dabbling ducks, and therefore have more difficulty taking off to fly.',\n",
" 'text': 'Diving ducks and sea ducks forage deep underwater. To be able to submerge more easily, the diving ducks are heavier than dabbling ducks, and therefore have more difficulty taking off to fly.'},\n",
" {'self_ref': '#/texts/265',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'A few specialized species such as the mergansers are adapted to catch and swallow large fish.',\n",
" 'text': 'A few specialized species such as the mergansers are adapted to catch and swallow large fish.'},\n",
" {'self_ref': '#/texts/266',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'The others have the characteristic wide flat bill adapted to dredging-type jobs such as pulling up waterweed, pulling worms and small molluscs out of mud, searching for insect larvae, and bulk jobs such as dredging out, holding, turning head first, and swallowing a squirming frog. To avoid injury when digging into sediment it has no cere, but the nostrils come out through hard horn.',\n",
" 'text': 'The others have the characteristic wide flat bill adapted to dredging-type jobs such as pulling up waterweed, pulling worms and small molluscs out of mud, searching for insect larvae, and bulk jobs such as dredging out, holding, turning head first, and swallowing a squirming frog. To avoid injury when digging into sediment it has no cere, but the nostrils come out through hard horn.'},\n",
" {'self_ref': '#/texts/267',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'The Guardian published an article advising that ducks should not be fed with bread because it damages the health of the ducks and pollutes waterways.[25]',\n",
" 'text': 'The Guardian published an article advising that ducks should not be fed with bread because it damages the health of the ducks and pollutes waterways.[25]'},\n",
" {'self_ref': '#/texts/268',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'section_header',\n",
" 'prov': [],\n",
" 'orig': 'Breeding',\n",
" 'text': 'Breeding',\n",
" 'level': 3},\n",
" {'self_ref': '#/texts/269',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'A Muscovy duckling',\n",
" 'text': 'A Muscovy duckling'},\n",
" {'self_ref': '#/texts/270',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Ducks generally only have one partner at a time, although the partnership usually only lasts one year.[26] Larger species and the more sedentary species (like fast-river specialists) tend to have pair-bonds that last numerous years.[27] Most duck species breed once a year, choosing to do so in favourable conditions (spring/summer or wet seasons). Ducks also tend to make a nest before breeding, and, after hatching, lead their ducklings to water. Mother ducks are very caring and protective of their young, but may abandon some of their ducklings if they are physically stuck in an area they cannot get out of (such as nesting in an enclosed courtyard) or are not prospering due to genetic defects or sickness brought about by hypothermia, starvation, or disease. Ducklings can also be orphaned by inconsistent late hatching where a few eggs hatch after the mother has abandoned the nest and led her ducklings to water.[28]',\n",
" 'text': 'Ducks generally only have one partner at a time, although the partnership usually only lasts one year.[26] Larger species and the more sedentary species (like fast-river specialists) tend to have pair-bonds that last numerous years.[27] Most duck species breed once a year, choosing to do so in favourable conditions (spring/summer or wet seasons). Ducks also tend to make a nest before breeding, and, after hatching, lead their ducklings to water. Mother ducks are very caring and protective of their young, but may abandon some of their ducklings if they are physically stuck in an area they cannot get out of (such as nesting in an enclosed courtyard) or are not prospering due to genetic defects or sickness brought about by hypothermia, starvation, or disease. Ducklings can also be orphaned by inconsistent late hatching where a few eggs hatch after the mother has abandoned the nest and led her ducklings to water.[28]'},\n",
" {'self_ref': '#/texts/271',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'section_header',\n",
" 'prov': [],\n",
" 'orig': 'Communication',\n",
" 'text': 'Communication',\n",
" 'level': 3},\n",
" {'self_ref': '#/texts/272',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Female mallard ducks (as well as several other species in the genus Anas, such as the American and Pacific black ducks, spot-billed duck, northern pintail and common teal) make the classic \"quack\" sound while males make a similar but raspier sound that is sometimes written as \"breeeeze\",[29][self-published source?] but, despite widespread misconceptions, most species of duck do not \"quack\".[30] In general, ducks make a range of calls, including whistles, cooing, yodels and grunts. For example, the scaup which are diving ducks make a noise like \"scaup\" (hence their name). Calls may be loud displaying calls or quieter contact calls.',\n",
" 'text': 'Female mallard ducks (as well as several other species in the genus Anas, such as the American and Pacific black ducks, spot-billed duck, northern pintail and common teal) make the classic \"quack\" sound while males make a similar but raspier sound that is sometimes written as \"breeeeze\",[29][self-published source?] but, despite widespread misconceptions, most species of duck do not \"quack\".[30] In general, ducks make a range of calls, including whistles, cooing, yodels and grunts. For example, the scaup which are diving ducks make a noise like \"scaup\" (hence their name). Calls may be loud displaying calls or quieter contact calls.'},\n",
" {'self_ref': '#/texts/273',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': \"A common urban legend claims that duck quacks do not echo; however, this has been proven to be false. This myth was first debunked by the Acoustics Research Centre at the University of Salford in 2003 as part of the British Association's Festival of Science.[31] It was also debunked in one of the earlier episodes of the popular Discovery Channel television show MythBusters.[32]\",\n",
" 'text': \"A common urban legend claims that duck quacks do not echo; however, this has been proven to be false. This myth was first debunked by the Acoustics Research Centre at the University of Salford in 2003 as part of the British Association's Festival of Science.[31] It was also debunked in one of the earlier episodes of the popular Discovery Channel television show MythBusters.[32]\"},\n",
" {'self_ref': '#/texts/274',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'section_header',\n",
" 'prov': [],\n",
" 'orig': 'Predators',\n",
" 'text': 'Predators',\n",
" 'level': 3},\n",
" {'self_ref': '#/texts/275',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Ringed teal',\n",
" 'text': 'Ringed teal'},\n",
" {'self_ref': '#/texts/276',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': \"Ducks have many predators. Ducklings are particularly vulnerable, since their inability to fly makes them easy prey not only for predatory birds but also for large fish like pike, crocodilians, predatory testudines such as the alligator snapping turtle, and other aquatic hunters, including fish-eating birds such as herons. Ducks' nests are raided by land-based predators, and brooding females may be caught unaware on the nest by mammals, such as foxes, or large birds, such as hawks or owls.\",\n",
" 'text': \"Ducks have many predators. Ducklings are particularly vulnerable, since their inability to fly makes them easy prey not only for predatory birds but also for large fish like pike, crocodilians, predatory testudines such as the alligator snapping turtle, and other aquatic hunters, including fish-eating birds such as herons. Ducks' nests are raided by land-based predators, and brooding females may be caught unaware on the nest by mammals, such as foxes, or large birds, such as hawks or owls.\"},\n",
" {'self_ref': '#/texts/277',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Adult ducks are fast fliers, but may be caught on the water by large aquatic predators including big fish such as the North American muskie and the European pike. In flight, ducks are safe from all but a few predators such as humans and the peregrine falcon, which uses its speed and strength to catch ducks.',\n",
" 'text': 'Adult ducks are fast fliers, but may be caught on the water by large aquatic predators including big fish such as the North American muskie and the European pike. In flight, ducks are safe from all but a few predators such as humans and the peregrine falcon, which uses its speed and strength to catch ducks.'},\n",
" {'self_ref': '#/texts/278',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'section_header',\n",
" 'prov': [],\n",
" 'orig': 'Relationship with humans',\n",
" 'text': 'Relationship with humans',\n",
" 'level': 2},\n",
" {'self_ref': '#/texts/279',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'section_header',\n",
" 'prov': [],\n",
" 'orig': 'Hunting',\n",
" 'text': 'Hunting',\n",
" 'level': 3},\n",
" {'self_ref': '#/texts/280',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Main article: Waterfowl hunting',\n",
" 'text': 'Main article: Waterfowl hunting'},\n",
" {'self_ref': '#/texts/281',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Humans have hunted ducks since prehistoric times. Excavations of middens in California dating to 7800 6400 BP have turned up bones of ducks, including at least one now-extinct flightless species.[33] Ducks were captured in \"significant numbers\" by Holocene inhabitants of the lower Ohio River valley, suggesting they took advantage of the seasonal bounty provided by migrating waterfowl.[34] Neolithic hunters in locations as far apart as the Caribbean,[35] Scandinavia,[36] Egypt,[37] Switzerland,[38] and China relied on ducks as a source of protein for some or all of the year.[39] Archeological evidence shows that Māori people in New Zealand hunted the flightless Finsch\\'s duck, possibly to extinction, though rat predation may also have contributed to its fate.[40] A similar end awaited the Chatham duck, a species with reduced flying capabilities which went extinct shortly after its island was colonised by Polynesian settlers.[41] It is probable that duck eggs were gathered by Neolithic hunter-gathers as well, though hard evidence of this is uncommon.[35][42]',\n",
" 'text': 'Humans have hunted ducks since prehistoric times. Excavations of middens in California dating to 7800 6400 BP have turned up bones of ducks, including at least one now-extinct flightless species.[33] Ducks were captured in \"significant numbers\" by Holocene inhabitants of the lower Ohio River valley, suggesting they took advantage of the seasonal bounty provided by migrating waterfowl.[34] Neolithic hunters in locations as far apart as the Caribbean,[35] Scandinavia,[36] Egypt,[37] Switzerland,[38] and China relied on ducks as a source of protein for some or all of the year.[39] Archeological evidence shows that Māori people in New Zealand hunted the flightless Finsch\\'s duck, possibly to extinction, though rat predation may also have contributed to its fate.[40] A similar end awaited the Chatham duck, a species with reduced flying capabilities which went extinct shortly after its island was colonised by Polynesian settlers.[41] It is probable that duck eggs were gathered by Neolithic hunter-gathers as well, though hard evidence of this is uncommon.[35][42]'},\n",
" {'self_ref': '#/texts/282',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'In many areas, wild ducks (including ducks farmed and released into the wild) are hunted for food or sport,[43] by shooting, or by being trapped using duck decoys. Because an idle floating duck or a duck squatting on land cannot react to fly or move quickly, \"a sitting duck\" has come to mean \"an easy target\". These ducks may be contaminated by pollutants such as PCBs.[44]',\n",
" 'text': 'In many areas, wild ducks (including ducks farmed and released into the wild) are hunted for food or sport,[43] by shooting, or by being trapped using duck decoys. Because an idle floating duck or a duck squatting on land cannot react to fly or move quickly, \"a sitting duck\" has come to mean \"an easy target\". These ducks may be contaminated by pollutants such as PCBs.[44]'},\n",
" {'self_ref': '#/texts/283',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'section_header',\n",
" 'prov': [],\n",
" 'orig': 'Domestication',\n",
" 'text': 'Domestication',\n",
" 'level': 3},\n",
" {'self_ref': '#/texts/284',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Main article: Domestic duck',\n",
" 'text': 'Main article: Domestic duck'},\n",
" {'self_ref': '#/texts/285',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Indian Runner ducks, a common breed of domestic ducks',\n",
" 'text': 'Indian Runner ducks, a common breed of domestic ducks'},\n",
" {'self_ref': '#/texts/286',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': \"Ducks have many economic uses, being farmed for their meat, eggs, and feathers (particularly their down). Approximately 3 billion ducks are slaughtered each year for meat worldwide.[45] They are also kept and bred by aviculturists and often displayed in zoos. Almost all the varieties of domestic ducks are descended from the mallard (Anas platyrhynchos), apart from the Muscovy duck (Cairina moschata).[46][47] The Call duck is another example of a domestic duck breed. Its name comes from its original use established by hunters, as a decoy to attract wild mallards from the sky, into traps set for them on the ground. The call duck is the world's smallest domestic duck breed, as it weighs less than 1\\xa0kg (2.2\\xa0lb).[48]\",\n",
" 'text': \"Ducks have many economic uses, being farmed for their meat, eggs, and feathers (particularly their down). Approximately 3 billion ducks are slaughtered each year for meat worldwide.[45] They are also kept and bred by aviculturists and often displayed in zoos. Almost all the varieties of domestic ducks are descended from the mallard (Anas platyrhynchos), apart from the Muscovy duck (Cairina moschata).[46][47] The Call duck is another example of a domestic duck breed. Its name comes from its original use established by hunters, as a decoy to attract wild mallards from the sky, into traps set for them on the ground. The call duck is the world's smallest domestic duck breed, as it weighs less than 1\\xa0kg (2.2\\xa0lb).[48]\"},\n",
" {'self_ref': '#/texts/287',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'section_header',\n",
" 'prov': [],\n",
" 'orig': 'Heraldry',\n",
" 'text': 'Heraldry',\n",
" 'level': 3},\n",
" {'self_ref': '#/texts/288',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Three black-colored ducks in the coat of arms of Maaninka[49]',\n",
" 'text': 'Three black-colored ducks in the coat of arms of Maaninka[49]'},\n",
" {'self_ref': '#/texts/289',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'Ducks appear on several coats of arms, including the coat of arms of Lubāna (Latvia)[50] and the coat of arms of Föglö (Åland).[51]',\n",
" 'text': 'Ducks appear on several coats of arms, including the coat of arms of Lubāna (Latvia)[50] and the coat of arms of Föglö (Åland).[51]'},\n",
" {'self_ref': '#/texts/290',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'section_header',\n",
" 'prov': [],\n",
" 'orig': 'Cultural references',\n",
" 'text': 'Cultural references',\n",
" 'level': 3},\n",
" {'self_ref': '#/texts/291',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'In 2002, psychologist Richard Wiseman and colleagues at the University of Hertfordshire, UK, finished a year-long LaughLab experiment, concluding that of all animals, ducks attract the most humor and silliness; he said, \"If you\\'re going to tell a joke involving an animal, make it a duck.\"[52] The word \"duck\" may have become an inherently funny word in many languages, possibly because ducks are seen as silly in their looks or behavior. Of the many ducks in fiction, many are cartoon characters, such as Walt Disney\\'s Donald Duck, and Warner Bros.\\' Daffy Duck. Howard the Duck started as a comic book character in 1973[53][54] and was made into a movie in 1986.',\n",
" 'text': 'In 2002, psychologist Richard Wiseman and colleagues at the University of Hertfordshire, UK, finished a year-long LaughLab experiment, concluding that of all animals, ducks attract the most humor and silliness; he said, \"If you\\'re going to tell a joke involving an animal, make it a duck.\"[52] The word \"duck\" may have become an inherently funny word in many languages, possibly because ducks are seen as silly in their looks or behavior. Of the many ducks in fiction, many are cartoon characters, such as Walt Disney\\'s Donald Duck, and Warner Bros.\\' Daffy Duck. Howard the Duck started as a comic book character in 1973[53][54] and was made into a movie in 1986.'},\n",
" {'self_ref': '#/texts/292',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'text',\n",
" 'prov': [],\n",
" 'orig': 'The 1992 Disney film The Mighty Ducks, starring Emilio Estevez, chose the duck as the mascot for the fictional youth hockey team who are protagonists of the movie, based on the duck being described as a fierce fighter. This led to the duck becoming the nickname and mascot for the eventual National Hockey League professional team of the Anaheim Ducks, who were founded with the name the Mighty Ducks of Anaheim.[citation needed] The duck is also the nickname of the University of Oregon sports teams as well as the Long Island Ducks minor league baseball team.[55]',\n",
" 'text': 'The 1992 Disney film The Mighty Ducks, starring Emilio Estevez, chose the duck as the mascot for the fictional youth hockey team who are protagonists of the movie, based on the duck being described as a fierce fighter. This led to the duck becoming the nickname and mascot for the eventual National Hockey League professional team of the Anaheim Ducks, who were founded with the name the Mighty Ducks of Anaheim.[citation needed] The duck is also the nickname of the University of Oregon sports teams as well as the Long Island Ducks minor league baseball team.[55]'},\n",
" {'self_ref': '#/texts/293',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'section_header',\n",
" 'prov': [],\n",
" 'orig': 'See also',\n",
" 'text': 'See also',\n",
" 'level': 2},\n",
" {'self_ref': '#/texts/294',\n",
" 'parent': {'$ref': '#/groups/35'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Birds portal',\n",
" 'text': 'Birds portal',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/295',\n",
" 'parent': {'$ref': '#/groups/36'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Domestic duck',\n",
" 'text': 'Domestic duck',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/296',\n",
" 'parent': {'$ref': '#/groups/36'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Duck as food',\n",
" 'text': 'Duck as food',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/297',\n",
" 'parent': {'$ref': '#/groups/36'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Duck test',\n",
" 'text': 'Duck test',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/298',\n",
" 'parent': {'$ref': '#/groups/36'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Duck breeds',\n",
" 'text': 'Duck breeds',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/299',\n",
" 'parent': {'$ref': '#/groups/36'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Fictional ducks',\n",
" 'text': 'Fictional ducks',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/300',\n",
" 'parent': {'$ref': '#/groups/36'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Rubber duck',\n",
" 'text': 'Rubber duck',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/301',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'section_header',\n",
" 'prov': [],\n",
" 'orig': 'Notes',\n",
" 'text': 'Notes',\n",
" 'level': 2},\n",
" {'self_ref': '#/texts/302',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'section_header',\n",
" 'prov': [],\n",
" 'orig': 'Citations',\n",
" 'text': 'Citations',\n",
" 'level': 3},\n",
" {'self_ref': '#/texts/303',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ \"Duckling\" . The American Heritage Dictionary of the English Language, Fourth Edition . Houghton Mifflin Company. 2006 . Retrieved 2015-05-22 .',\n",
" 'text': '^ \"Duckling\" . The American Heritage Dictionary of the English Language, Fourth Edition . Houghton Mifflin Company. 2006 . Retrieved 2015-05-22 .',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/304',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ \"Duckling\" . Kernerman English Multilingual Dictionary (Beta Version) . K. Dictionaries Ltd. 20002006 . Retrieved 2015-05-22 .',\n",
" 'text': '^ \"Duckling\" . Kernerman English Multilingual Dictionary (Beta Version) . K. Dictionaries Ltd. 20002006 . Retrieved 2015-05-22 .',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/305',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Dohner, Janet Vorwald (2001). The Encyclopedia of Historic and Endangered Livestock and Poultry Breeds . Yale University Press. ISBN 978-0300138139 .',\n",
" 'text': '^ Dohner, Janet Vorwald (2001). The Encyclopedia of Historic and Endangered Livestock and Poultry Breeds . Yale University Press. ISBN 978-0300138139 .',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/306',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Visca, Curt; Visca, Kelley (2003). How to Draw Cartoon Birds . The Rosen Publishing Group. ISBN 9780823961566 .',\n",
" 'text': '^ Visca, Curt; Visca, Kelley (2003). How to Draw Cartoon Birds . The Rosen Publishing Group. ISBN 9780823961566 .',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/307',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ a b c d Carboneras 1992 , p.\\xa0536.',\n",
" 'text': '^ a b c d Carboneras 1992 , p.\\xa0536.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/308',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Livezey 1986 , pp.\\xa0737738.',\n",
" 'text': '^ Livezey 1986 , pp.\\xa0737738.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/309',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Madsen, McHugh & de Kloet 1988 , p.\\xa0452.',\n",
" 'text': '^ Madsen, McHugh & de Kloet 1988 , p.\\xa0452.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/310',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Donne-Goussé, Laudet & Hänni 2002 , pp.\\xa0353354.',\n",
" 'text': '^ Donne-Goussé, Laudet & Hänni 2002 , pp.\\xa0353354.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/311',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ a b c d e f Carboneras 1992 , p.\\xa0540.',\n",
" 'text': '^ a b c d e f Carboneras 1992 , p.\\xa0540.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/312',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Elphick, Dunning & Sibley 2001 , p.\\xa0191.',\n",
" 'text': '^ Elphick, Dunning & Sibley 2001 , p.\\xa0191.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/313',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Kear 2005 , p.\\xa0448.',\n",
" 'text': '^ Kear 2005 , p.\\xa0448.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/314',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Kear 2005 , p.\\xa0622623.',\n",
" 'text': '^ Kear 2005 , p.\\xa0622623.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/315',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Kear 2005 , p.\\xa0686.',\n",
" 'text': '^ Kear 2005 , p.\\xa0686.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/316',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Elphick, Dunning & Sibley 2001 , p.\\xa0193.',\n",
" 'text': '^ Elphick, Dunning & Sibley 2001 , p.\\xa0193.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/317',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ a b c d e f g Carboneras 1992 , p.\\xa0537.',\n",
" 'text': '^ a b c d e f g Carboneras 1992 , p.\\xa0537.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/318',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': \"^ American Ornithologists' Union 1998 , p.\\xa0xix.\",\n",
" 'text': \"^ American Ornithologists' Union 1998 , p.\\xa0xix.\",\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/319',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': \"^ American Ornithologists' Union 1998 .\",\n",
" 'text': \"^ American Ornithologists' Union 1998 .\",\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/320',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Carboneras 1992 , p.\\xa0538.',\n",
" 'text': '^ Carboneras 1992 , p.\\xa0538.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/321',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Christidis & Boles 2008 , p.\\xa062.',\n",
" 'text': '^ Christidis & Boles 2008 , p.\\xa062.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/322',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Shirihai 2008 , pp.\\xa0239, 245.',\n",
" 'text': '^ Shirihai 2008 , pp.\\xa0239, 245.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/323',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ a b Pratt, Bruner & Berrett 1987 , pp.\\xa098107.',\n",
" 'text': '^ a b Pratt, Bruner & Berrett 1987 , pp.\\xa098107.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/324',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Fitter, Fitter & Hosking 2000 , pp.\\xa0523.',\n",
" 'text': '^ Fitter, Fitter & Hosking 2000 , pp.\\xa0523.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/325',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ \"Pacific Black Duck\" . www.wiresnr.org . Retrieved 2018-04-27 .',\n",
" 'text': '^ \"Pacific Black Duck\" . www.wiresnr.org . Retrieved 2018-04-27 .',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/326',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Ogden, Evans. \"Dabbling Ducks\" . CWE . Retrieved 2006-11-02 .',\n",
" 'text': '^ Ogden, Evans. \"Dabbling Ducks\" . CWE . Retrieved 2006-11-02 .',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/327',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Karl Mathiesen (16 March 2015). \"Don\\'t feed the ducks bread, say conservationists\" . The Guardian . Retrieved 13 November 2016 .',\n",
" 'text': '^ Karl Mathiesen (16 March 2015). \"Don\\'t feed the ducks bread, say conservationists\" . The Guardian . Retrieved 13 November 2016 .',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/328',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Rohwer, Frank C.; Anderson, Michael G. (1988). \"Female-Biased Philopatry, Monogamy, and the Timing of Pair Formation in Migratory Waterfowl\". Current Ornithology . pp.\\xa0187221. doi : 10.1007/978-1-4615-6787-5_4 . ISBN 978-1-4615-6789-9 .',\n",
" 'text': '^ Rohwer, Frank C.; Anderson, Michael G. (1988). \"Female-Biased Philopatry, Monogamy, and the Timing of Pair Formation in Migratory Waterfowl\". Current Ornithology . pp.\\xa0187221. doi : 10.1007/978-1-4615-6787-5_4 . ISBN 978-1-4615-6789-9 .',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/329',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Smith, Cyndi M.; Cooke, Fred; Robertson, Gregory J.; Goudie, R. Ian; Boyd, W. Sean (2000). \"Long-Term Pair Bonds in Harlequin Ducks\" . The Condor . 102 (1): 201205. doi : 10.1093/condor/102.1.201 . hdl : 10315/13797 .',\n",
" 'text': '^ Smith, Cyndi M.; Cooke, Fred; Robertson, Gregory J.; Goudie, R. Ian; Boyd, W. Sean (2000). \"Long-Term Pair Bonds in Harlequin Ducks\" . The Condor . 102 (1): 201205. doi : 10.1093/condor/102.1.201 . hdl : 10315/13797 .',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/330',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ \"If You Find An Orphaned Duckling - Wildlife Rehabber\" . wildliferehabber.com . Archived from the original on 2018-09-23 . Retrieved 2018-12-22 .',\n",
" 'text': '^ \"If You Find An Orphaned Duckling - Wildlife Rehabber\" . wildliferehabber.com . Archived from the original on 2018-09-23 . Retrieved 2018-12-22 .',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/331',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Carver, Heather (2011). The Duck Bible . Lulu.com. ISBN 9780557901562 . [ self-published source ]',\n",
" 'text': '^ Carver, Heather (2011). The Duck Bible . Lulu.com. ISBN 9780557901562 . [ self-published source ]',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/332',\n",
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" 'label': 'list_item',\n",
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" 'orig': '^ Titlow, Budd (2013-09-03). Bird Brains: Inside the Strange Minds of Our Fine Feathered Friends . Rowman & Littlefield. ISBN 9780762797707 .',\n",
" 'text': '^ Titlow, Budd (2013-09-03). Bird Brains: Inside the Strange Minds of Our Fine Feathered Friends . Rowman & Littlefield. ISBN 9780762797707 .',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/333',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Amos, Jonathan (2003-09-08). \"Sound science is quackers\" . BBC News . Retrieved 2006-11-02 .',\n",
" 'text': '^ Amos, Jonathan (2003-09-08). \"Sound science is quackers\" . BBC News . Retrieved 2006-11-02 .',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/334',\n",
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" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
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" 'orig': '^ \"Mythbusters Episode 8\" . 12 December 2003.',\n",
" 'text': '^ \"Mythbusters Episode 8\" . 12 December 2003.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/335',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Erlandson 1994 , p.\\xa0171.',\n",
" 'text': '^ Erlandson 1994 , p.\\xa0171.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/336',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Jeffries 2008 , pp.\\xa0168, 243.',\n",
" 'text': '^ Jeffries 2008 , pp.\\xa0168, 243.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/337',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ a b Sued-Badillo 2003 , p.\\xa065.',\n",
" 'text': '^ a b Sued-Badillo 2003 , p.\\xa065.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/338',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Thorpe 1996 , p.\\xa068.',\n",
" 'text': '^ Thorpe 1996 , p.\\xa068.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/339',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Maisels 1999 , p.\\xa042.',\n",
" 'text': '^ Maisels 1999 , p.\\xa042.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/340',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Rau 1876 , p.\\xa0133.',\n",
" 'text': '^ Rau 1876 , p.\\xa0133.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/341',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Higman 2012 , p.\\xa023.',\n",
" 'text': '^ Higman 2012 , p.\\xa023.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/342',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
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" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Hume 2012 , p.\\xa053.',\n",
" 'text': '^ Hume 2012 , p.\\xa053.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/343',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Hume 2012 , p.\\xa052.',\n",
" 'text': '^ Hume 2012 , p.\\xa052.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/344',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Fieldhouse 2002 , p.\\xa0167.',\n",
" 'text': '^ Fieldhouse 2002 , p.\\xa0167.',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/345',\n",
" 'parent': {'$ref': '#/groups/37'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Livingston, A. D. (1998-01-01). Guide to Edible Plants and Animals . Wordsworth Editions, Limited. ISBN 9781853263774 .',\n",
" 'text': '^ Livingston, A. D. (1998-01-01). Guide to Edible Plants and Animals . Wordsworth Editions, Limited. ISBN 9781853263774 .',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/346',\n",
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" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ \"Study plan for waterfowl injury assessment: Determining PCB concentrations in Hudson river resident waterfowl\" (PDF) . New York State Department of Environmental Conservation . US Department of Commerce. December 2008. p.\\xa03. Archived (PDF) from the original on 2022-10-09 . Retrieved 2 July 2019 .',\n",
" 'text': '^ \"Study plan for waterfowl injury assessment: Determining PCB concentrations in Hudson river resident waterfowl\" (PDF) . New York State Department of Environmental Conservation . US Department of Commerce. December 2008. p.\\xa03. Archived (PDF) from the original on 2022-10-09 . Retrieved 2 July 2019 .',\n",
" 'enumerated': True,\n",
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" {'self_ref': '#/texts/347',\n",
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" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ \"FAOSTAT\" . www.fao.org . Retrieved 2019-10-25 .',\n",
" 'text': '^ \"FAOSTAT\" . www.fao.org . Retrieved 2019-10-25 .',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/348',\n",
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" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ \"Anas platyrhynchos, Domestic Duck; DigiMorph Staff - The University of Texas at Austin\" . Digimorph.org . Retrieved 2012-12-23 .',\n",
" 'text': '^ \"Anas platyrhynchos, Domestic Duck; DigiMorph Staff - The University of Texas at Austin\" . Digimorph.org . Retrieved 2012-12-23 .',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
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" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Sy Montgomery. \"Mallard; Encyclopædia Britannica\" . Britannica.com . Retrieved 2012-12-23 .',\n",
" 'text': '^ Sy Montgomery. \"Mallard; Encyclopædia Britannica\" . Britannica.com . Retrieved 2012-12-23 .',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/350',\n",
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" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Glenday, Craig (2014). Guinness World Records . Guinness World Records Limited. pp. 135 . ISBN 978-1-908843-15-9 .',\n",
" 'text': '^ Glenday, Craig (2014). Guinness World Records . Guinness World Records Limited. pp. 135 . ISBN 978-1-908843-15-9 .',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
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" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '^ Suomen kunnallisvaakunat (in Finnish). Suomen Kunnallisliitto. 1982. p.\\xa0147. ISBN 951-773-085-3 .',\n",
" 'text': '^ Suomen kunnallisvaakunat (in Finnish). Suomen Kunnallisliitto. 1982. p.\\xa0147. ISBN 951-773-085-3 .',\n",
" 'enumerated': True,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/352',\n",
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" 'orig': '^ \"Lubānas simbolika\" (in Latvian) . Retrieved September 9, 2021 .',\n",
" 'text': '^ \"Lubānas simbolika\" (in Latvian) . Retrieved September 9, 2021 .',\n",
" 'enumerated': True,\n",
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" {'self_ref': '#/texts/353',\n",
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" 'orig': '^ \"Föglö\" (in Swedish) . Retrieved September 9, 2021 .',\n",
" 'text': '^ \"Föglö\" (in Swedish) . Retrieved September 9, 2021 .',\n",
" 'enumerated': True,\n",
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" {'self_ref': '#/texts/354',\n",
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" 'orig': '^ Young, Emma. \"World\\'s funniest joke revealed\" . New Scientist . Retrieved 7 January 2019 .',\n",
" 'text': '^ Young, Emma. \"World\\'s funniest joke revealed\" . New Scientist . Retrieved 7 January 2019 .',\n",
" 'enumerated': True,\n",
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" 'orig': '^ \"Howard the Duck (character)\" . Grand Comics Database .',\n",
" 'text': '^ \"Howard the Duck (character)\" . Grand Comics Database .',\n",
" 'enumerated': True,\n",
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" {'self_ref': '#/texts/356',\n",
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" 'orig': '^ Sanderson, Peter ; Gilbert, Laura (2008). \"1970s\". Marvel Chronicle A Year by Year History . London, United Kingdom: Dorling Kindersley . p.\\xa0161. ISBN 978-0756641238 . December saw the debut of the cigar-smoking Howard the Duck. In this story by writer Steve Gerber and artist Val Mayerik, various beings from different realities had begun turning up in the Man-Thing\\'s Florida swamp, including this bad-tempered talking duck.',\n",
" 'text': '^ Sanderson, Peter ; Gilbert, Laura (2008). \"1970s\". Marvel Chronicle A Year by Year History . London, United Kingdom: Dorling Kindersley . p.\\xa0161. ISBN 978-0756641238 . December saw the debut of the cigar-smoking Howard the Duck. In this story by writer Steve Gerber and artist Val Mayerik, various beings from different realities had begun turning up in the Man-Thing\\'s Florida swamp, including this bad-tempered talking duck.',\n",
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" 'orig': '^ \"The Duck\" . University of Oregon Athletics . Retrieved 2022-01-20 .',\n",
" 'text': '^ \"The Duck\" . University of Oregon Athletics . Retrieved 2022-01-20 .',\n",
" 'enumerated': True,\n",
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" 'orig': \"American Ornithologists' Union (1998). Checklist of North American Birds (PDF) . Washington, DC: American Ornithologists' Union. ISBN 978-1-891276-00-2 . Archived (PDF) from the original on 2022-10-09.\",\n",
" 'text': \"American Ornithologists' Union (1998). Checklist of North American Birds (PDF) . Washington, DC: American Ornithologists' Union. ISBN 978-1-891276-00-2 . Archived (PDF) from the original on 2022-10-09.\",\n",
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" 'orig': 'Carboneras, Carlos (1992). del Hoyo, Josep; Elliott, Andrew; Sargatal, Jordi (eds.). Handbook of the Birds of the World . Vol.\\xa01: Ostrich to Ducks. Barcelona: Lynx Edicions. ISBN 978-84-87334-10-8 .',\n",
" 'text': 'Carboneras, Carlos (1992). del Hoyo, Josep; Elliott, Andrew; Sargatal, Jordi (eds.). Handbook of the Birds of the World . Vol.\\xa01: Ostrich to Ducks. Barcelona: Lynx Edicions. ISBN 978-84-87334-10-8 .',\n",
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" 'orig': 'Christidis, Les; Boles, Walter E., eds. (2008). Systematics and Taxonomy of Australian Birds . Collingwood, VIC: Csiro Publishing. ISBN 978-0-643-06511-6 .',\n",
" 'text': 'Christidis, Les; Boles, Walter E., eds. (2008). Systematics and Taxonomy of Australian Birds . Collingwood, VIC: Csiro Publishing. ISBN 978-0-643-06511-6 .',\n",
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" 'orig': 'Donne-Goussé, Carole; Laudet, Vincent; Hänni, Catherine (July 2002). \"A molecular phylogeny of Anseriformes based on mitochondrial DNA analysis\". Molecular Phylogenetics and Evolution . 23 (3): 339356. Bibcode : 2002MolPE..23..339D . doi : 10.1016/S1055-7903(02)00019-2 . PMID 12099792 .',\n",
" 'text': 'Donne-Goussé, Carole; Laudet, Vincent; Hänni, Catherine (July 2002). \"A molecular phylogeny of Anseriformes based on mitochondrial DNA analysis\". Molecular Phylogenetics and Evolution . 23 (3): 339356. Bibcode : 2002MolPE..23..339D . doi : 10.1016/S1055-7903(02)00019-2 . PMID 12099792 .',\n",
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" 'orig': 'Elphick, Chris; Dunning, John B. Jr.; Sibley, David, eds. (2001). The Sibley Guide to Bird Life and Behaviour . London: Christopher Helm. ISBN 978-0-7136-6250-4 .',\n",
" 'text': 'Elphick, Chris; Dunning, John B. Jr.; Sibley, David, eds. (2001). The Sibley Guide to Bird Life and Behaviour . London: Christopher Helm. ISBN 978-0-7136-6250-4 .',\n",
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" 'orig': 'Erlandson, Jon M. (1994). Early Hunter-Gatherers of the California Coast . New York, NY: Springer Science & Business Media. ISBN 978-1-4419-3231-0 .',\n",
" 'text': 'Erlandson, Jon M. (1994). Early Hunter-Gatherers of the California Coast . New York, NY: Springer Science & Business Media. ISBN 978-1-4419-3231-0 .',\n",
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" 'orig': 'Fieldhouse, Paul (2002). Food, Feasts, and Faith: An Encyclopedia of Food Culture in World Religions . Vol.\\xa0I: AK. Santa Barbara: ABC-CLIO. ISBN 978-1-61069-412-4 .',\n",
" 'text': 'Fieldhouse, Paul (2002). Food, Feasts, and Faith: An Encyclopedia of Food Culture in World Religions . Vol.\\xa0I: AK. Santa Barbara: ABC-CLIO. ISBN 978-1-61069-412-4 .',\n",
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" 'orig': 'Fitter, Julian; Fitter, Daniel; Hosking, David (2000). Wildlife of the Galápagos . Princeton, NJ: Princeton University Press. ISBN 978-0-691-10295-5 .',\n",
" 'text': 'Fitter, Julian; Fitter, Daniel; Hosking, David (2000). Wildlife of the Galápagos . Princeton, NJ: Princeton University Press. ISBN 978-0-691-10295-5 .',\n",
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" 'orig': 'Higman, B. W. (2012). How Food Made History . Chichester, UK: John Wiley & Sons. ISBN 978-1-4051-8947-7 .',\n",
" 'text': 'Higman, B. W. (2012). How Food Made History . Chichester, UK: John Wiley & Sons. ISBN 978-1-4051-8947-7 .',\n",
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" 'orig': 'Hume, Julian H. (2012). Extinct Birds . London: Christopher Helm. ISBN 978-1-4729-3744-5 .',\n",
" 'text': 'Hume, Julian H. (2012). Extinct Birds . London: Christopher Helm. ISBN 978-1-4729-3744-5 .',\n",
" 'enumerated': False,\n",
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" 'orig': 'Jeffries, Richard (2008). Holocene Hunter-Gatherers of the Lower Ohio River Valley . Tuscaloosa: University of Alabama Press. ISBN 978-0-8173-1658-7 .',\n",
" 'text': 'Jeffries, Richard (2008). Holocene Hunter-Gatherers of the Lower Ohio River Valley . Tuscaloosa: University of Alabama Press. ISBN 978-0-8173-1658-7 .',\n",
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" 'orig': 'Kear, Janet, ed. (2005). Ducks, Geese and Swans: Species Accounts ( Cairina to Mergus ) . Bird Families of the World. Oxford: Oxford University Press. ISBN 978-0-19-861009-0 .',\n",
" 'text': 'Kear, Janet, ed. (2005). Ducks, Geese and Swans: Species Accounts ( Cairina to Mergus ) . Bird Families of the World. Oxford: Oxford University Press. ISBN 978-0-19-861009-0 .',\n",
" 'enumerated': False,\n",
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" 'orig': 'Livezey, Bradley C. (October 1986). \"A phylogenetic analysis of recent Anseriform genera using morphological characters\" (PDF) . The Auk . 103 (4): 737754. doi : 10.1093/auk/103.4.737 . Archived (PDF) from the original on 2022-10-09.',\n",
" 'text': 'Livezey, Bradley C. (October 1986). \"A phylogenetic analysis of recent Anseriform genera using morphological characters\" (PDF) . The Auk . 103 (4): 737754. doi : 10.1093/auk/103.4.737 . Archived (PDF) from the original on 2022-10-09.',\n",
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" 'text': 'CS1 Finnish-language sources (fi)',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/431',\n",
" 'parent': {'$ref': '#/groups/42'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'CS1 Latvian-language sources (lv)',\n",
" 'text': 'CS1 Latvian-language sources (lv)',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/432',\n",
" 'parent': {'$ref': '#/groups/42'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'CS1 Swedish-language sources (sv)',\n",
" 'text': 'CS1 Swedish-language sources (sv)',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/433',\n",
" 'parent': {'$ref': '#/groups/42'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Articles with short description',\n",
" 'text': 'Articles with short description',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/434',\n",
" 'parent': {'$ref': '#/groups/42'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Short description is different from Wikidata',\n",
" 'text': 'Short description is different from Wikidata',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/435',\n",
" 'parent': {'$ref': '#/groups/42'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Wikipedia indefinitely move-protected pages',\n",
" 'text': 'Wikipedia indefinitely move-protected pages',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/436',\n",
" 'parent': {'$ref': '#/groups/42'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Wikipedia indefinitely semi-protected pages',\n",
" 'text': 'Wikipedia indefinitely semi-protected pages',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/437',\n",
" 'parent': {'$ref': '#/groups/42'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': \"Articles with 'species' microformats\",\n",
" 'text': \"Articles with 'species' microformats\",\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/438',\n",
" 'parent': {'$ref': '#/groups/42'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Articles containing Old English (ca. 450-1100)-language text',\n",
" 'text': 'Articles containing Old English (ca. 450-1100)-language text',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/439',\n",
" 'parent': {'$ref': '#/groups/42'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Articles containing Dutch-language text',\n",
" 'text': 'Articles containing Dutch-language text',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/440',\n",
" 'parent': {'$ref': '#/groups/42'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Articles containing German-language text',\n",
" 'text': 'Articles containing German-language text',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/441',\n",
" 'parent': {'$ref': '#/groups/42'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Articles containing Norwegian-language text',\n",
" 'text': 'Articles containing Norwegian-language text',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/442',\n",
" 'parent': {'$ref': '#/groups/42'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Articles containing Lithuanian-language text',\n",
" 'text': 'Articles containing Lithuanian-language text',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/443',\n",
" 'parent': {'$ref': '#/groups/42'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Articles containing Ancient Greek (to 1453)-language text',\n",
" 'text': 'Articles containing Ancient Greek (to 1453)-language text',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/444',\n",
" 'parent': {'$ref': '#/groups/42'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'All articles with self-published sources',\n",
" 'text': 'All articles with self-published sources',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/445',\n",
" 'parent': {'$ref': '#/groups/42'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Articles with self-published sources from February 2020',\n",
" 'text': 'Articles with self-published sources from February 2020',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/446',\n",
" 'parent': {'$ref': '#/groups/42'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'All articles with unsourced statements',\n",
" 'text': 'All articles with unsourced statements',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/447',\n",
" 'parent': {'$ref': '#/groups/42'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Articles with unsourced statements from January 2022',\n",
" 'text': 'Articles with unsourced statements from January 2022',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/448',\n",
" 'parent': {'$ref': '#/groups/42'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'CS1: long volume value',\n",
" 'text': 'CS1: long volume value',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/449',\n",
" 'parent': {'$ref': '#/groups/42'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Pages using Sister project links with wikidata mismatch',\n",
" 'text': 'Pages using Sister project links with wikidata mismatch',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/450',\n",
" 'parent': {'$ref': '#/groups/42'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Pages using Sister project links with hidden wikidata',\n",
" 'text': 'Pages using Sister project links with hidden wikidata',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/451',\n",
" 'parent': {'$ref': '#/groups/42'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Webarchive template wayback links',\n",
" 'text': 'Webarchive template wayback links',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/452',\n",
" 'parent': {'$ref': '#/groups/42'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Articles with Project Gutenberg links',\n",
" 'text': 'Articles with Project Gutenberg links',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/453',\n",
" 'parent': {'$ref': '#/groups/42'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Articles containing video clips',\n",
" 'text': 'Articles containing video clips',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/454',\n",
" 'parent': {'$ref': '#/groups/43'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'This page was last edited on 21 September 2024, at 12:11 (UTC) .',\n",
" 'text': 'This page was last edited on 21 September 2024, at 12:11 (UTC) .',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/455',\n",
" 'parent': {'$ref': '#/groups/43'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Text is available under the Creative Commons Attribution-ShareAlike License 4.0 ;\\nadditional terms may apply. By using this site, you agree to the Terms of Use and Privacy Policy . Wikipedia® is a registered trademark of the Wikimedia Foundation, Inc. , a non-profit organization.',\n",
" 'text': 'Text is available under the Creative Commons Attribution-ShareAlike License 4.0 ;\\nadditional terms may apply. By using this site, you agree to the Terms of Use and Privacy Policy . Wikipedia® is a registered trademark of the Wikimedia Foundation, Inc. , a non-profit organization.',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/456',\n",
" 'parent': {'$ref': '#/groups/44'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Privacy policy',\n",
" 'text': 'Privacy policy',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/457',\n",
" 'parent': {'$ref': '#/groups/44'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'About Wikipedia',\n",
" 'text': 'About Wikipedia',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/458',\n",
" 'parent': {'$ref': '#/groups/44'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Disclaimers',\n",
" 'text': 'Disclaimers',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/459',\n",
" 'parent': {'$ref': '#/groups/44'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Contact Wikipedia',\n",
" 'text': 'Contact Wikipedia',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/460',\n",
" 'parent': {'$ref': '#/groups/44'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Code of Conduct',\n",
" 'text': 'Code of Conduct',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/461',\n",
" 'parent': {'$ref': '#/groups/44'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Developers',\n",
" 'text': 'Developers',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/462',\n",
" 'parent': {'$ref': '#/groups/44'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Statistics',\n",
" 'text': 'Statistics',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/463',\n",
" 'parent': {'$ref': '#/groups/44'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Cookie statement',\n",
" 'text': 'Cookie statement',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/464',\n",
" 'parent': {'$ref': '#/groups/44'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': 'Mobile view',\n",
" 'text': 'Mobile view',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/465',\n",
" 'parent': {'$ref': '#/groups/45'},\n",
" 'children': [{'$ref': '#/texts/466'}],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '',\n",
" 'text': '',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/466',\n",
" 'parent': {'$ref': '#/texts/465'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'caption',\n",
" 'prov': [],\n",
" 'orig': 'Wikimedia Foundation',\n",
" 'text': 'Wikimedia Foundation'},\n",
" {'self_ref': '#/texts/467',\n",
" 'parent': {'$ref': '#/groups/45'},\n",
" 'children': [{'$ref': '#/texts/468'}],\n",
" 'content_layer': 'body',\n",
" 'label': 'list_item',\n",
" 'prov': [],\n",
" 'orig': '',\n",
" 'text': '',\n",
" 'enumerated': False,\n",
" 'marker': '-'},\n",
" {'self_ref': '#/texts/468',\n",
" 'parent': {'$ref': '#/texts/467'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'caption',\n",
" 'prov': [],\n",
" 'orig': 'Powered by MediaWiki',\n",
" 'text': 'Powered by MediaWiki'}],\n",
" 'pictures': [],\n",
" 'tables': [{'self_ref': '#/tables/0',\n",
" 'parent': {'$ref': '#/body'},\n",
" 'children': [],\n",
" 'content_layer': 'body',\n",
" 'label': 'table',\n",
" 'prov': [],\n",
" 'captions': [],\n",
" 'references': [],\n",
" 'footnotes': [],\n",
" 'data': {'table_cells': [{'row_span': 1,\n",
" 'col_span': 2,\n",
" 'start_row_offset_idx': 0,\n",
" 'end_row_offset_idx': 1,\n",
" 'start_col_offset_idx': 0,\n",
" 'end_col_offset_idx': 2,\n",
" 'text': 'Duck',\n",
" 'column_header': True,\n",
" 'row_header': False,\n",
" 'row_section': False},\n",
" {'row_span': 1,\n",
" 'col_span': 2,\n",
" 'start_row_offset_idx': 1,\n",
" 'end_row_offset_idx': 2,\n",
" 'start_col_offset_idx': 0,\n",
" 'end_col_offset_idx': 2,\n",
" 'text': '',\n",
" 'column_header': False,\n",
" 'row_header': False,\n",
" 'row_section': False},\n",
" {'row_span': 1,\n",
" 'col_span': 2,\n",
" 'start_row_offset_idx': 2,\n",
" 'end_row_offset_idx': 3,\n",
" 'start_col_offset_idx': 0,\n",
" 'end_col_offset_idx': 2,\n",
" 'text': 'Bufflehead(Bucephala albeola)',\n",
" 'column_header': False,\n",
" 'row_header': False,\n",
" 'row_section': False},\n",
" {'row_span': 1,\n",
" 'col_span': 2,\n",
" 'start_row_offset_idx': 3,\n",
" 'end_row_offset_idx': 4,\n",
" 'start_col_offset_idx': 0,\n",
" 'end_col_offset_idx': 2,\n",
" 'text': 'Scientific classification',\n",
" 'column_header': True,\n",
" 'row_header': False,\n",
" 'row_section': False},\n",
" {'row_span': 1,\n",
" 'col_span': 1,\n",
" 'start_row_offset_idx': 4,\n",
" 'end_row_offset_idx': 5,\n",
" 'start_col_offset_idx': 0,\n",
" 'end_col_offset_idx': 1,\n",
" 'text': 'Domain:',\n",
" 'column_header': False,\n",
" 'row_header': False,\n",
" 'row_section': False},\n",
" {'row_span': 1,\n",
" 'col_span': 1,\n",
" 'start_row_offset_idx': 4,\n",
" 'end_row_offset_idx': 5,\n",
" 'start_col_offset_idx': 1,\n",
" 'end_col_offset_idx': 2,\n",
" 'text': 'Eukaryota',\n",
" 'column_header': False,\n",
" 'row_header': False,\n",
" 'row_section': False},\n",
" {'row_span': 1,\n",
" 'col_span': 1,\n",
" 'start_row_offset_idx': 5,\n",
" 'end_row_offset_idx': 6,\n",
" 'start_col_offset_idx': 0,\n",
" 'end_col_offset_idx': 1,\n",
" 'text': 'Kingdom:',\n",
" 'column_header': False,\n",
" 'row_header': False,\n",
" 'row_section': False},\n",
" {'row_span': 1,\n",
" 'col_span': 1,\n",
" 'start_row_offset_idx': 5,\n",
" 'end_row_offset_idx': 6,\n",
" 'start_col_offset_idx': 1,\n",
" 'end_col_offset_idx': 2,\n",
" 'text': 'Animalia',\n",
" 'column_header': False,\n",
" 'row_header': False,\n",
" 'row_section': False},\n",
" {'row_span': 1,\n",
" 'col_span': 1,\n",
" 'start_row_offset_idx': 6,\n",
" 'end_row_offset_idx': 7,\n",
" 'start_col_offset_idx': 0,\n",
" 'end_col_offset_idx': 1,\n",
" 'text': 'Phylum:',\n",
" 'column_header': False,\n",
" 'row_header': False,\n",
" 'row_section': False},\n",
" {'row_span': 1,\n",
" 'col_span': 1,\n",
" 'start_row_offset_idx': 6,\n",
" 'end_row_offset_idx': 7,\n",
" 'start_col_offset_idx': 1,\n",
" 'end_col_offset_idx': 2,\n",
" 'text': 'Chordata',\n",
" 'column_header': False,\n",
" 'row_header': False,\n",
" 'row_section': False},\n",
" {'row_span': 1,\n",
" 'col_span': 1,\n",
" 'start_row_offset_idx': 7,\n",
" 'end_row_offset_idx': 8,\n",
" 'start_col_offset_idx': 0,\n",
" 'end_col_offset_idx': 1,\n",
" 'text': 'Class:',\n",
" 'column_header': False,\n",
" 'row_header': False,\n",
" 'row_section': False},\n",
" {'row_span': 1,\n",
" 'col_span': 1,\n",
" 'start_row_offset_idx': 7,\n",
" 'end_row_offset_idx': 8,\n",
" 'start_col_offset_idx': 1,\n",
" 'end_col_offset_idx': 2,\n",
" 'text': 'Aves',\n",
" 'column_header': False,\n",
" 'row_header': False,\n",
" 'row_section': False},\n",
" {'row_span': 1,\n",
" 'col_span': 1,\n",
" 'start_row_offset_idx': 8,\n",
" 'end_row_offset_idx': 9,\n",
" 'start_col_offset_idx': 0,\n",
" 'end_col_offset_idx': 1,\n",
" 'text': 'Order:',\n",
" 'column_header': False,\n",
" 'row_header': False,\n",
" 'row_section': False},\n",
" {'row_span': 1,\n",
" 'col_span': 1,\n",
" 'start_row_offset_idx': 8,\n",
" 'end_row_offset_idx': 9,\n",
" 'start_col_offset_idx': 1,\n",
" 'end_col_offset_idx': 2,\n",
" 'text': 'Anseriformes',\n",
" 'column_header': False,\n",
" 'row_header': False,\n",
" 'row_section': False},\n",
" {'row_span': 1,\n",
" 'col_span': 1,\n",
" 'start_row_offset_idx': 9,\n",
" 'end_row_offset_idx': 10,\n",
" 'start_col_offset_idx': 0,\n",
" 'end_col_offset_idx': 1,\n",
" 'text': 'Superfamily:',\n",
" 'column_header': False,\n",
" 'row_header': False,\n",
" 'row_section': False},\n",
" {'row_span': 1,\n",
" 'col_span': 1,\n",
" 'start_row_offset_idx': 9,\n",
" 'end_row_offset_idx': 10,\n",
" 'start_col_offset_idx': 1,\n",
" 'end_col_offset_idx': 2,\n",
" 'text': 'Anatoidea',\n",
" 'column_header': False,\n",
" 'row_header': False,\n",
" 'row_section': False},\n",
" {'row_span': 1,\n",
" 'col_span': 1,\n",
" 'start_row_offset_idx': 10,\n",
" 'end_row_offset_idx': 11,\n",
" 'start_col_offset_idx': 0,\n",
" 'end_col_offset_idx': 1,\n",
" 'text': 'Family:',\n",
" 'column_header': False,\n",
" 'row_header': False,\n",
" 'row_section': False},\n",
" {'row_span': 1,\n",
" 'col_span': 1,\n",
" 'start_row_offset_idx': 10,\n",
" 'end_row_offset_idx': 11,\n",
" 'start_col_offset_idx': 1,\n",
" 'end_col_offset_idx': 2,\n",
" 'text': 'Anatidae',\n",
" 'column_header': False,\n",
" 'row_header': False,\n",
" 'row_section': False},\n",
" {'row_span': 1,\n",
" 'col_span': 2,\n",
" 'start_row_offset_idx': 11,\n",
" 'end_row_offset_idx': 12,\n",
" 'start_col_offset_idx': 0,\n",
" 'end_col_offset_idx': 2,\n",
" 'text': 'Subfamilies',\n",
" 'column_header': True,\n",
" 'row_header': False,\n",
" 'row_section': False},\n",
" {'row_span': 1,\n",
" 'col_span': 2,\n",
" 'start_row_offset_idx': 12,\n",
" 'end_row_offset_idx': 13,\n",
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