{ "cells": [ { "cell_type": "markdown", "id": "71bc4436", "metadata": {}, "source": [ "# Getting Started with cooldata\n", "\n", "This shows you how to get started with the `cooldata` package.\n", "\n", "First, install it with:\n", "\n", "```bash\n", "pip install cooldata\n", "```\n" ] }, { "cell_type": "markdown", "id": "617cd077", "metadata": {}, "source": [ "The PyVista dataset is the main format to use the `cooldata` library. It allows you to load and visualize the samples from the dataset in its original format, which is CGNS files. Let us now load a few samples from Hugging Face:" ] }, { "cell_type": "code", "execution_count": 5, "id": "ae804270", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loaded 12 samples from '/Users/ole/Documents/software/flow_field_dataset/docs/usage/datasets/pyvista'.\n", "Loaded 12 samples from 'datasets/pyvista'.\n" ] } ], "source": [ "from cooldata.pyvista_flow_field_dataset import PyvistaFlowFieldDataset\n", "\n", "ds_pv = PyvistaFlowFieldDataset.load_from_huggingface(\n", " num_samples=12, data_dir=\"datasets/pyvista\"\n", ")" ] }, { "cell_type": "markdown", "id": "65113b1c", "metadata": {}, "source": [ "Next, let us explore the first sample of the dataset:" ] }, { "cell_type": "code", "execution_count": 17, "id": "ceab60b7", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "

Design ID: 125002

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " Quader 1\\nTemp: 24.8\\nPos: (0.02, 0.07)\\nSize: (0.15, 0.05)\n", " \n", " \n", " Quader 2\\nTemp: 72.1\\nPos: (0.08, 0.09)\\nSize: (0.14, 0.06)\n", " \n", " \n", " Quader 3\\nTemp: 40.7\\nPos: (0.20, 1.00)\\nSize: (0.05, 0.01)\n", " \n", " \n", " Quader 4\\nTemp: 29.5\\nPos: (0.12, 0.03)\\nSize: (0.08, 0.01)\n", " \n", " \n", " Cylinder 1\\nTemp: 70.8\\nPos: (0.07, 1.00)\\nRadius: 0.00\n", " \n", " \n", " Cylinder 2\\nTemp: 79.8\\nPos: (0.11, 1.00)\\nRadius: 0.01\n", " \n", " \n", " \n", "

Bounding Box (xmin, xmax, ymin, ymax): (-0.00, 0.50, 0.00, 0.10)

\n", "
" ], "text/plain": [ "" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds_pv[0]" ] }, { "cell_type": "markdown", "id": "c4d13a76", "metadata": {}, "source": [ "We can see a 2d projection of the sample: The flow comes in from the left, there are three rectangular obstacles in the flow, and the flow exits on the right side.\n", "Now, let us visualize the sample in 3D:" ] }, { "cell_type": "code", "execution_count": 23, "id": "e2fa46ee", "metadata": { "tags": [ "hide-cell" ] }, "outputs": [], "source": [ "import pyvista as pv\n", "pv.set_jupyter_backend('static')" ] }, { "cell_type": "code", "execution_count": 24, "id": "76eed9c8", "metadata": {}, "outputs": [ { "data": { "image/jpeg": 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AYLQDAAqFUTwaAqMhMBoCoyEwGgKjITAaAqMhMBoCIwSMdgBGSESPenMUjIbAaAiMhsBoCIyGwGgIjIbAaAiAwGgHABQKo3g0BEZDYDQERkNgNARGQ2A0BEZDYDQERggY7QCMkIge9eZoCIyGwGgIjIbAaAiMhsBoCIyGwGgIgMBoBwAUCqN4NARGQ2A0BEZDYDQERkNgNARGQ2A0BEYIGO0AjJCIHvXmaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIDAaAcAFAqjeDQERkNgNARGQ2A0BEZDYDQERkNgNARGCBjtAIyQiB715mgIjIbAaAiMhsBoCIyGwGgIjIbAaAiAwGgHABQKo3g0BEZDYDQERkNgNARGQ2A0BEZDYDQERggY7QCMkIge9eZoCIyGwGgIjIbAaAiMhsBoCIyGwGgIgMBoBwAUCqN4NARGQ2A0BEZDYDQERkNgNARGQ2A0BEYIGO0AjJCIHvXmaAiMhsBoCIyGwGgIjIbAaAiMhsAoAIHRDgAoFEbxaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIwQMNoBGCERPerN0RAYDYHREBgNgdEQGA2B0RAYDYHREACB0Q4AKBRG8WgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMEDDaARghET3qzdEQGA2B0RAYDYHREBgNgdEQGA2B0RAAgdEOACgURvFoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjBAw2gEYIRE96s3REBgNgdEQGA2B0RAYDYHREBgNgdEQAIHRDgAoFEbxaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIwQMNoBGCERPerN0RAYDYHREBgNgdEQGA2B0RAYDYHREACB0Q4AKBRG8WgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMEDDaARghET3qzdEQGA2B0RAYDYHREBgNgdEQGA2B0RAAgdEOACgURvFoCIyGwGgIjIbAaAiMgtEQGA2B0RAYIWC0AzBCInrUm6MhMBoCoyEwGgKjITAaAqMhMBoCoyEAAqMdAFAojOLREBgNgdEQGA2B0RAYDYHREBgNgdEQGCFgtAMwQiJ61JujITAaAqMhMBoCoyEwGgKjITAaAqMhAAKjHQBQKIzi0RAYDYHREBgNgdEQGA2B0RAYDYHREBghYLQDMEIietSboyEwGgKjITAaAqMhMBoCoyEwGgKjIQACox0AUCiM4tEQGA2B0RAYDYHREBgNgdEQGA2B0RAYIWC0AzBCInrUm6MhMBoCoyEwGgKjITAaAqMhMBoCoyEAAqMdAFAojOLREBgNgdEQGA2B0RAYDYHREBgNgdEQGCFgtAMwQiJ61JujITAaAqMhMBoCoyEwGgKjITAaAqMhAAKjHQBQKIzi0RAYDYHREBgNgdEQGA2B0RAYDYHREBghYLQDMEIietSbo2A0BEZDYDQERkNgNARGQ2A0BEZDAARGOwCgUBjFoyEwGgKjITAaAqMhMBoCoyEwGgKjITBCwGgHYIRE9Kg3R0NgNARGQ2A0BEZDYDQERkNgNARGQwAERjsAoFAYxaMhMBoCoyEwGgKjITAaAqMhMBoCoyEwQsBoB2CERPSoN0dDYDQERkNgNARGQ2A0BEZDYDQERkMABEY7AKBQGMWjITAaAqMhMBoCoyEwGgKjITAaAqMhMELAaAdghET0qDdHQ2A0BEZDYDQERkNgNARGQ2A0BEZDAARGOwCgUBjFoyEwGgKjITAaAqMhMBoCoyEwGgKjITBCwGgHYIRE9Kg3R0NgNARGQ2A0BEZDYDQERkNgNARGQwAERjsAoFAYxaMhMBoCoyEwGgKjITAaAqMhMBoCoyEwQsBoB2CERPSoN0dDYDQERkNgNARGQ2A0BEZDYDQERgEIjHYAQKEwikdDYDQERkNgNARGQ2A0BEZDYDQERkNghIDRDsAIiehRb46GwGgIjIbAaAiMhsBoCIyGwGgIjIYACIx2AEChMIpHQ2A0BEZDYDQERkNgNARGQ2A0BEZDYISA0Q7ACInoUW+OhsBoCIyGwGgIjIbAaAiMhsBoCIyGAAiMdgBAoTCKR0NgNARGQ2A0BEZDYDQERkNgNARGQ2CEgNEOwAiJ6FFvjobAaAiMhsBoCIyGwGgIjIbAaAiMhgAIjHYAQKEwikdDYDQERkNgNARGQ2A0BEZDYDQERkNghIDRDsAIiehRb46GwGgIjIbAaAiMhsBoCIyGwGgIjIYACIx2AEChMIpHQ2A0BEZDYDQERkNgNARGQ2A0BEZDYISA0Q7ACInoUW+OhsBoCIyGwGgIjIbAaAiMhsBoCIyGAAiMdgBAoTCKR0NgNARGQ2A0BEZDYBSMhsBoCIyGwAgBox2AERLRo94cDYHREBgNgdEQGA2B0RAYDYHREBgNARAY7QCAQmEUj4bAaAiMhsBoCIyGwGgIjIbAaAiMhsAIAaMdgBES0aPeHA2B0RAYDYHREBgNgdEQGA2B0RAYDQEQGO0AgEJhFI+GwGgIjIbAaAiMhsBoCIyGwGgIjIbACAGjHYAREtGj3hwNgdEQGA2B0RAYDYHREBgNgdEQGA0BEBjtAIBCYRSPhsBoCIyGwGgIjIbAaAiMhsBoCIyGwAgBox2AERLRo94cDYHREBgNgdEQGA2B0RAYDYHREBgNARAY7QCAQmEUj4bAaAiMhsBoCIyGwGgIjIbAaAiMhsAIAaMdgBES0aPeHA2B0RAYDYHREBgNgdEQGA2B0RAYDQEQGO0AgEJhFI+GwGgIjIbAaAiMhsBoCIyGwGgIjIbACAGjHYAREtGj3hwFoyEwGgKjITAaAqMhMBoCoyEwGgIgMNoBAIXCKB4NgdEQGA2B0RAYDYHREBgNgdEQGA2BEQJGOwAjJKJHvTkaAqMhMBoCoyEwGgKjITAaAqMhMBoCIDDaAQCFwigeDYHREBgNgdEQGA2B0RAYDYHREBgNgRECRjsAIySiR705GgKjITAaAqMhMBoCoyEwGgKjITAaAiAw2gEAhcIoHg2B0RAYDYHREBgNgdEQGA2B0RAYDYERAkY7ACMkoke9ORoCoyEwGgKjITAaAqMhMBoCoyEwGgIgMNoBAIXCKB4NgdEQGA2B0RAYDYHREBgNgdEQGA2BEQJGOwAjJKJHvTkaAqMhMBoCoyEwGgKjITAaAqMhMBoCIDDaAQCFwigeDYHREBgNgdEQGA2B0RAYDYHREBgNgRECRjsAIySiR705GgKjITAaAqMhMBoCoyEwGgKjITAKQGC0AwAKhVE8GgKjITAaAqMhMBoCoyEwGgKjITAaAiMEjHYARkhEj3pzNARGQ2A0BEZDYDQERkNgNARGQ2A0BEBgtAMACoVRPBoCoyEwGgKjITAaAqMhMBoCoyEwGgIjBIx2AEZIRI96czQERkNgNARGQ2A0BEZDYDQERkNgNARAYLQDAAqFUTwaAqMhMBoCoyEwGgKjITAaAqMhMBoCIwSMdgBGSESPenM0BEZDYDQERkNgNARGQ2A0BEZDYDQEQGC0AwAKhVE8GgKjITAaAqMhMBoCoyEwGgKjITAaAiMEjHYARkhEj3pzNARGQ2A0BEZDYDQERkNgNARGQ2A0BEBgtAMACoVRPBoCoyEwGgKjITAaAqMhMBoCoyEwGgIjBIx2AEZIRI96czQERkNgNARGQ2A0BEZDYDQERkNgNARAYLQDAAqFUTwaAqMhMBoCoyEwGgKjYDQERkNgNARGCBjtAIyQiB715mgIjIbAaAiMhsBoCIyGwGgIjIbAaAiAwGgHABQKo3g0BEZDYDQERkNgNARGQ2A0BEZDYDQERggY7QCMkIge9eZoCIyGwGgIjIbAaAiMhsBoCIyGwGgIgMBoBwAUCqN4NARGQ2A0BEZDYDQERkNgNARGQ2A0BEYIGO0AjJCIHvXmaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIDAaAcAFAqjeDQERkNgNARGQ2A0BEZDYDQERkNgNARGCBjtAIyQiB715mgIjIbAaAiMhsBoCIyGwGgIjIbAaAiAwGgHABQKo3g0BEZDYDQERkNgNARGQ2A0BEZDYDQERggY7QCMkIge9eZoCIyGwGgIjIbAaAiMhsBoCIyGwGgIgMBoBwAUCqN4NARGQ2A0BEZDYDQERkNgNARGQ2A0BEYIGO0AjJCIHvXmKBgNgdEQGA2B0RAYDYHREBgNgdEQAIHRDgAoFEbxaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIwQMNoBGCERPerN0RAYDYHREBgNgdEQGA2B0RAYDYHREACB0Q4AKBRG8WgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMEDDaARghET3qzdEQGA2B0RAYDYHREBgNgdEQGA2B0RAAgdEOACgURvFoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjBAw2gEYIRE96s3REBgNgdEQGA2B0RAYDYHREBgNgdEQAIHRDgAoFEbxaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIwQMNoBGCERPerN0RAYDYHREBgNgdEQGA2B0RAYDYHREAABFhAxikdDYDQERkNgNARGQ2A0BEZqCGhVpDMwMPz/9ZuBgeF637yRGgyj/h4NgREEGP///z+CvDvq1dEQGA2B0RAYDYHREBgNAVgIaJWmMzAygBADw//foA4ARGa0GwAJh1FyFAxXMNoBGK4xO+qv0RAYDYHREBgNgdEQwBkCWmWgUX9k6f+//0C5jNCRwdFuADRARqnREBh2YLQDMOyidNRDoyEwGgKjITAaAqMhgDcEsLT+f4Fb/4xI2ka7AUiBMcocDYFhBkY7AMMsQke9MxoCoyEwGgKjITAaAjhDALPpD1H6H9IBgHAYoIuCQDxYN2B0ewAoNEbxaAgMFzDaARguMTnqj9EQGA2B0RAYDYHREMAdAria/hAd6B0AiCh8QmC0GwAJkFFyNASGCxjtAAyXmBz1x2gIjIbAaAiMhsBoCGALAVDT/z/SoD42Ndg7ABCV8G4AaGZgdHsAJFBGydEQGNpgtAMwtONv1PWjITAaAqMhMBoCoyGAKwSgh/zgkkYSx9kBQG79w9XDJwQYGa73jh4bCg+XUcZoCAwZMNoBGDJRNerQ0RAYDYHREBgNgdEQIDIEQE1/ZKVY2/FICnB2ACBqsGof7QZAAmeUHA2BIQhGOwBDMNJGnTwaAqMhMBoCoyEwGgI4QgC96Y+sDGs7HqyAnA4AWCOIgPQERmcDQGExikdDYGiA0Q7A0IinUVeOhsBoCIyGwGgIjIYAwRDA1/pH1ozREyDQAQCt/kfWj4092g3AFiqjYqMhMDjBaAdgcMbLqKtGQ2A0BEZDYDQERkOAhBAgtumPbCRSN4BwB4BwHwC8PxhiJpgc3R6AHNij7NEQGFRgtAMwqKJj1DGjITAaAqMhMBoCo4C0ENAqyWAAN7gZGMBNcNJ0Q08HIqoDADEZaheEg0bCHABXM7ouCC2ERrmjITA4wGgHYHDEw6grRkNgNARGQ2A0BEZDgMQQADX9IVrgDW4QF9YKB7GJxf9/g28CJlY5tNuAQznCAYxMUCXXRg8LgobEKDUaAoMCjHYABkU0jDpiNARGQ2A0BEZDYDQEiA8BRNMfogelAwARQrTCIXz8JMkdAIhxWOyFSDAgT0eMdgPggTLKGA2BQQJGOwCDJCJGnTEaAqMhMBoCoyEwGgKEQwC96Q/RQVxDHKIWkySz9Y9vVwBG94ORgRHuSMb/13rmYzpjVGQ0BEZDgG5gtANAt6AetWg0BEZDYDQERkNgNATIDwHsTX+IefC2NYSLhcRokSOpoUEHAGUGAGQVzIWMjP9hOxYYRrsBoJAZxaMhMBBgtAMwEKE+audoCIyGwGgIjIbAaAiQEgI4W/+whjUhw2jTAYDYit0NqDZiqGFkgioY7QZAQnGUHA0BeoLRDgA9Q3vUrtEQGA2B0RAYDYHRECAtBHA2/SHGYDSsIcIg8j/aVl1ogxskhYwZGUg4AghZIzIbizMwrENTA+bCJwSudY8uCkIO0FH2aAjQFox2AGgbvqOmj4bAaAiMhsBoCIyGAHkhQKDpDzEU3IyGMIkjsbTLadMBwFgFhLlnAOZ4+GwAAwPDaE+AuHgcVTUaAhSB0Q4ARcE3qnk0BEZDYDQERkNgNASoHgJENf0htsLa0BAe0SRSN4AqMwAQi7E7BsUuiEIEyQjeEQDRCLlLGCw32g0AB8MoMRoCtAKjHQBaheyouaMhMBoCoyEwGgKjIUBqCJDQ9IcYDWk6Q9gkk9D9uFSYAUC2GsVJSK1/zBkAJBHQWiCYIfBjQ692ja4LggXKKD0aAlQFox0AqgbnqGGjITAaAqMhMBoCoyFAVgiQ3PSH2ILc2kZf9A9RgY9kkxVjQBp3/3n3GT7VxMghuwehHqkbAFbw7vsXKT21H3eg1sFOCEVSxsCAWBfEyHC1cwHCsFHWaAiMhgDFYLQDQHEQjhowCkZDYDQERkNgNAQoCAEym/4QG8HtaQiTgZQOAJuMGEgXXDuIAW1/U7sbADUWZB14yP/tt6+MjP+l9NRAIuDux8/bz/4zMCJPAoAXBoHlwQog3NFuAChERvFoCFADjHYAqBGKo2aMhsBoCIyGwGgIjIYAWSFAUesf3J4m1Vpo0x9ZG6j1D+aDGND2OqXdAJBRYDOhBMjYt9+/QniMjP8lddQYILeDQZr4DAw/bz+DNPQhakAk2BAQgXR7wGg3ABQyo3g0BCgDox0AysJvVPdoCIyGwGgIjIbAaAiQFQJaxRno7V0yzAG1jonVhqXpj6wV2Sh4o5zsRUHIpjEwvP3+BW4VSAbUAVBnYIBuQgB1ZCDXAjCCuwFwpSAJWCCBtDFAFiwxMjBcGV0UhBxKo+zRECARjHYASAywUeWjITAaAqMhMBoCoyFAWQiAmv5oJkBat2iCxHCJ1kig9Q+3C9lAanQD3n5DNP0hbXmQDaAOAGQJEEQMbD0jYt3/j9vQ7QFwadg+AZBK6GIhsPOudCwECY3i0RAYDQFSwGgHgJTQGlU7GgKjITAaAqMhMBoCFISAdlEmA+N/0GoYrIaAmsZYJXALEqGF2KY/miVwk8HtbIgkSeuCQE1/uCEQ/YgR/f+SuqgzAEgqkbf/wnsCCHkYi5HxH7x7MNoNgAfwKGM0BIgBox0AYkJpVM1oCIyGwGgIjIbAaAhQFAKgpj/EAKT2NJaeAKx1C1FLmMSrnsymP7KtcPNBDOgu4593nyIrwcoGtf4hEiCNEBb0ZmKwAKwDgOgSQGWhSpFmAxgYGCDdAJBGEIYqgSwHAhkADlJGBobLo7MBsLAZpUdDAD8Y7QDgD59R2dEQGA2B0RAYDYHREKAoBBBNf4gx4NYqhAkhUboByA1ciDQeErdiKjT9ke2FWwRnMDDg6gYgmv6gtjmyKVA2eDEPpAMAEQEFAFgQzIVYASEZ/sPvBGBk/P/j1nOwCqSuAuN/qEIGBtC6IDDncvvooiBoOI1SoyGAC4x2AHCFzKj4aAiMhsBoCIyGwGgIUBQC2oWZCP3gtimYi9j5Cmr5goUQBEIZQgwnC1PxfwbQ0f44NRAtgWkymlZYNwZ5URDBpj/EDEZGBsgRQBAuZCsw1EIoBZaBssGBBDkvCNLKh04IQKUZGP4jOg+w2wMgcpdGewLggBwlRkMAE4x2ADDDZFRkNARGQ2A0BEZDYDQEKA0BlNY/ylg4uEWLJALjg22ENF3BTMIEhmJaDfzjcgqsG/Ds8i3sSjBcCPI3egeAAdQHAEmAl/SjaUE6AJQR1r6H2AVZFwTWAxFgYARdhQBiMzEjAvVS2yKQ0CgeDYHREEACox0ApMAYZY6GwGgIjIbAaAiMhgDFIaBdgG3gH9GuhbVNESIgK6GiqIIgCYKYEdR+ps7AP1a7CDnp1fMXcH1/3n6Es6EMDO3QGQCINJIsaA0PhiC4fY+YMwF1E0CzAf9Bfgbr/XEbtC4IzIRoBq8FgjAZGZhAp4uCgvZi62KI2Cg5GgKjAJSP/uM+jWA0gEZDYDQERkNgNARGQ2A0BIgPAZ18UNMfsSwdohPSOIWQIBFQexREI0TAA9dIXJAs0ZiGTX80N2C48NUzRNMf2lIHtSwY/rz5hNCKoYuRAbwECKwSpAyqABos0PU8UEGQPLLJIE0QKVA34B9YGrQlALI9ACwD7S1AzQGvGmKCTSMwMvw/37IEqmuUGgUjGIzOAIzgyB/1+mgIjIbAaAiMhgCVQkAnLxPcTgUZB2rJgpuiIA6cAWq6ggRAQ9cQGlkKLILecwAL4iHo1/RHOB7qHJSmP1QM1BAHMWHrgqDdAPAEBTxwQCZBlgCBlMIwIihAgQe9IRgmCT3tB6GGAdq4B4swgjYKg3WB7f9+6zlEPUiSEWwt2D2MjP+ZQEIglUyM/882L4UbP8oYDYERCEY7ACMw0ke9PBoCoyEwGgKjIUC1EAA1/eGGgZqY4OF8iAiYC26EQvhgEtweBbEgsiAWAhPZB6Br0x/uOrCDsTf94WpADXwwB+ZNRDcA3EAHyTH+l9RWBzHgipEZyJt6wTaCVIIYoLY7qG8A4oPNgguChvlBK39AAmB7IRMCYMXwCQGQdkZGBibQwUEgNhPT/9ONyyCGjZKjITDSwGgHYKTF+Kh/R0NgNARGQ2A0BKgTAjo5WaDGPbjFCTUR1AKleQdgYFr/YB8iL/cHC+AlQJt2oT2aP2+RFgWBlgCBbwGD6AYHGoQJGbyHsJGH+SEiIFmYYqgsqOcAtQLEZIQcGwoWYWT4fvM5aF8BWAuIAe4nMDAwMIGjiJkZtIKImen/ifrlUPNHqdEQGDFgtAMwYqJ61KOjITAaAqMhMBoC1AsB3Zws0DAyuHEJMhWpGwBufoLEQN0DMA0i4CpBDVWQVnRBEJ8BoRfMRSMGsukPWe6P7As0x2FyYYrBjXWolyE9AdAxoGjqYYrBgQZVDNYIHuyHKIYEMmRhD1SEAdQrgCsBK4AM80PMYQR3A8Bs8BQB2BZIBwC8P5iBhQl0nTAzI6gzcLRuJcTUUXI0BIY9GO0ADPsoHvXgaAiMhsBoCIyGADVDQDc7C2QcuCkJYoAOoofQ0MYohINoykNUQkiIHLidCmIiC4L4ODsAoPM9MRSDddCcwLLmhySXwBSDW/OgBTmi4pJQR8PDAcqHN+ShIQnWApaDGQLiQHRBugEQcdCqHpAMCDNCrwWADPlDWvkQNmh7AHgSALQnGGQVSCUzE6jpzwI+LIgZtE/g/4Ga1SBzRvFoCAxrMNoBGNbRO+q50RAYDYHREBgNAeqFALTpDzEQ0vQEsxFtfTAXMiYNYkLOpYerRDCgI9wQNSAShtGNYmAYXE1/mDshY+pwHj4G3NdgRWISEuh6IQ16sCyUAK0dgjJB3SuICRASIow41QfUkIeKQcwBKQO17EE0WAQ0IcD0jxHUYQAF+/fbzxn+g7YRQ7sB4EY/uAPAwML0l4EBNCfAxPBvd9V6iLGj5GgIDEsw2gEYltE66qnREBgNgdEQGA0BaoYAStMfYjCogQlhgYftQW1LWGMUJAUa6oZKg9qwcCZMDfJCIBAbbAiSKgYKm/4Q90AMBLkHwiJEwnUxMmAZ+EfWTbyZMF1ikhIwJpiGmwBupoOFYAQ2KZTZAJgWZEHIMD/ICFD/AdSTgohA1DAy/mcGdwNAgc34//tN8O0BjKDmPkSEiZGBFdQBAAUBK9M/NuY/zIz/N5VtBhk4ikdDYNiB0Q7AsIvSUQ+NhsBoCIyGwGgIUC8EdLPAC35AjURshoKbqqA2I0QSzAUd9AllIDX3cXUDQJtSoQaAGq0Qcyhp/UMNgxkEp+FOgiuAHNAJUYDEJmGnL9xMiCE4SPSmP0QZsl5Ygx4iAyUhCiAkpH8EYUNIUIyAfcIIGs6HaIG0+EHhDwpV0EwDvPUPkWJiQnQDmGDdAFBfiwU09s/I8J+Z8T878x+IaWzMf9iY/rKAtwesLN4BERwlR0NgeIDRDsDwiMdRX4yGwGgIjIbAaAhQOQQQTX9kg+GtT4ggjAtuioKF0NqyMAWg1ihYHtrKh4gjKf7PBJFmAO30hciCBUggEI4gQROyUhKa/sjakDoPcG/C5bG3/uHSyD5FCg24PMJA+EJ/0AA/Qh604ApsCHyRD1gLaBUQSBG0ewAKGiam//BuACN0vB90VTAr079P118yMDBwsoCa/kzgFj8n829msHvYmP+wM/6F7BJeULgXZOYoHg2BoQ9GOwBDPw5HfTAaAqMhMBoCoyFA1RDQzQSP+oOblVgMxhRHFgG3Gv8jDf2D2p5wUyCtfAYGaHMfIg7agQpiscmI/wdrB3GQzQTxCWEUawgphsnDLXn5/AWcDZNEp0mwAWwWaLk/3AywCJyHhYGmAB4OEKVwWdBSfgb4GD9EEtQHAJ35D3IgqHcA08vIBF2IBeobwASZmP5BVv+Dlvuz/GOFbgL+x8Hy58O1VwwMDLysP0HzB2D1HEzQbgAz4z9Opt9MjP8YGRhm5B+C2jtKjYbAkAWjHYAhG3WjDh8NgdEQGA2B0RCgAYC2/kErTIgwHalhClMNaoaCB6FhAkg0yvA/UjcAbdT/P6xLgKQVNxNsIW5pFBn4MDpIFNzGJXPUH6QfgdGcgHPUHx5cCK2oLEwFYEeCFCFLgboBMDtBTX6QPDjMoQEM6g4gaYScBQSKUiaoAibmf8ywQOZi+wU6DBRshgD7j3dXXjMwMPCBuwGQgX82pj8sjP/+/2dkYvzHxvgXMo0wNe8IWMcoMRoCQxKwDElXjzp6NARGQ2A0BEZDYDQEqB0CeuCBf0g7E9a6xG4H8poXqAq4BmL0QxQzMTD+Y2CVEUM2Adr0hyiAGAWVhlEQKRgPP43S3MdU+p8R1PrHagumYrwicDPEJMBHfP5nQExlIGuEOB6uGlkKwsaiAKL6P/jyLlAbngHqKyRxxIQLqNUPaqD/Z/gPbupD2P/+gXoMTEz///8FKwAz/vwFmcDO/ufXH+ZfDMxCnN9ZmP79+cfEpyUuwv7t9ZWfjAwMbEygRUEQp7Ew/mVi/P+XgZHpP+OzG18ggqPkaAgMUTDaARiiETfq7NEQGA2B0RAYDQGqhQCk6Y9sHKhtCGmMIouC259oAli4WDWCBqWhrWJw05SBTQrU9Ieq/QteMwTqEoBthgxOQ+Ww2EBQCNpIRlaH2msBNf0hshDXwNrXEDFiSZBjEWqhrX+wAMQBUA+DjvVnhLNRrEI1AawVusAHPKIPZyOp+8/4HxQykFX+YHFGcPcAJAgKRkjTHxRXjKBuAONfBkYWkIL/kG4A4z+Gf4z/GBiZWP8xMf3//ZuZje0PF+ufX/+Yf/1jFucEtez/MTAK64gKsHxnYGB4cfndfwYGZgbQdQEMDAzPbnxlZIBYDXXsKDUaAkMRjHYAhmKsjbp5NARGQ2A0BEZDgDohgNn0J81cSKMT1NiE6YOLwARAB9iAm6mgdiNoaBy0ZB10uj+4IQzacfqf4R+kNv4Hbu8yM4CWmoPb69AJAbhRqC1p0LA2RArTUqiNEGkwCVODaPqDhWEERANseT1MlAANM1NMEjzwj6Ea1A2AGAxyK4gFaomDlYE6BJCGO5iLIECqwDyY4SAOZIwfLgUSgnQDQPf7gkIY1I35z8AENv4/I+TwH1AA/wdtA/j/l5HxD2jfBWgSALTvl4GR7R/Db9Dyfw6en8yM/3/+YeZn/83J8ufPP2YGBgYu5t/wFr8A1++fP6BOeXLjGyjyQLZDRUDMUTwaAkMQQIqcIejwUSePhsBoCIyGwGgIjIYABSFATtMf0gCFtP0gbLgDIC1UCBeFDVUHWnoClmWTBg38g9qm4CUooDYrAwNkpQm48cnAAJsNAHUrQJtOQaPaYK1QAtSqhjJxUxBHQuRh7gE1/WFsiAyUhAuCGBAHI+sH90WgStEp6Kg/XDlEN7IquBRYENQRADNAvgO12hGLhbB0CZBN+w/uHYG0gfSD+g6Q1f9/wUaCVDIy/AFRDEz/Qc3+fwwMoC3XoH4CI0gNaNgfpICZAaTgF9N/lv8M7P9+/QY1hHg4f/5jYPz1j5mF+S8b6DYAhr8MTL/+Mf+//wxiyZOboIF/JrDxIOtH8WgIDHEASvdD3Aujzh8NgdEQGA2B0RAYDQESQoCcpj/EeNS2LEQMhURWAG7dQturYHHEcn+wHmgTFtLEB5078x/c8mQAdQP+g7oBoHY3aDwa3PD9D2nOgtnwZiiovQ42CzJwjykOthek4j8DqPUPYoFNgDCQSSSVYGGwWWAC1FdBjKiDJUGrc/5Dm/4QATgJNwfic2QXwtWgMpD7Mwg2pMMEHtAHL54CjfJD9IHmTMAOAymBLswBewra4mdg/AOSAbnxL2iXBUgXaC0QE+NfBgbmfwx/Gf79ZfzLysDC8J/hJ9NvVkZuzl8MDAzffrP+/8/4n5XhP9vvn/9Y2B4/+s/0h4mB8fXNTz9//GcBRwjYWgbQEiBQoIAMHsWjITBEwWgHYIhG3KizR0NgNARGQ2A0BEgOAfKb/oSsAjXWEW1fRnj7ENJkBC/4gYuBzAI3UaHLSaA9BUhPgAnaDfgPbvqD2qzww4IgjV2QTeD2LryFDTIPjBEOgCkACyOa/mAuCQTcQCgDPNYO1g9t/eNv30N0QUiIsyHBgdZdARsIJSAKQIP9YBakQwDyOCMoTCFGQZSCQg20vAfEg9zixfgftFD/HyN03dRf8NVrkN0Uv8Gmgfb+Mv3/w8jI9o/pF8O/P8z//jIyC/z++p3t4w8ufu7vrJx/Pv7m+P/4uSDbNwYGhp//WD7ffgNz7H9Qh4GB4R/o2jFkd4DsH8WjITDkwGgHYMhF2aiDR0NgNARGQ2A0BMgJASq3/mFtX3DTEtk9CAHQMTLwQ36QFvL8Z2B4e/8l47//f8Fj/qKK0qBWJkQfrBsAavozgpatg9r5oBYwlA3qRsCsBrFB0mDb4YIgs6CWkd/0BxuJhfjPAD3dH94GhjAgjkeyGl0vRBmEhMhB2BCNcDaEAVEAMg0iDeaDt/CCejb/QX0BkBAjI6jFD/f4P7A4IwPDP0bQLAEkZP6C1UCM+ckECjGW//9/MTH9YgTtu2D/9/cDK8tHZhauvx8ZOBm+/ef/cJeBm+HDL87/D57/Z2BgY2T49/MPCyPjX1B/A7TfANINANk+ikdDYCiD0XsAhnLsjbp9NARGQ2A0BEZDgIgQoHLTH2wjqKUKblaCCZAQSARKQ8XYZMSgLJA4FL95+BI0jAxW/Y8BdsokIwO0GwBRBdEGHr0GtzyhDXq0JjFolQtICKwHogXMZGCALfiBC8JbyWB7oRphiomkxcQlECrhJiOEcLNIUoxmDGTqAC6I5hGIOMRTYDZoagWmBrT0H9QNAC0kYvwDnb5g/g5yzT82kB7u5wz/WP//EADtFWD59YCZ9xcz4z/GR8842H5zMIOihovp5+8f//4zMDKBuhogC/4xMDEx/Fs59QqIM4pHQ2DIgtEZgCEbdaMOHw2B0RAYDYHRECAUAqQ1/WENR0Km4pcHtS8ha35Q1P1neP3kJXRkmonh/7//IDYLaEQb0rZ8ff8pAwOoGwBqmYKarWApCAOplQ9p4EIvEoYqBdsDYYMsh7X+4brA8qDBbwgDLo7ctoawwdqhKiFssGLoqD9cO1gQmQdiw9WDOKgY4jaIGEQZRATChohjJUFrgcASEOeBmSDnIWsHT4+A9gmAzlACm8j4H9TchwUd429Ghn+MoM3W/xiYf4AvBmBi4HkCMuI/MyPTb0bGz49YmP79Z2Vg/MLM8P7J/z9Mf1mYoCEMtpGF4e8/cJ+JmfEf/HQgsMwoMRoCQxWMdgCGasyNuns0BEZDYDQERkMATwiQ1vTHYxBeKVBzHNzmhKtCHPIDEQe1M0Hj96+fvAQ1m8GCoFPoQS1WUFMWJABe7o/cDRABLwoCtzlR9wlATGOA7W2FbQ+A7idmYHj17AXIJSBDwf0HCAMkhA3DTAPJQdgQEsQHawczsLT+weLoBLJeZDk0NyArQ2ZD2utoInAuhIHcDWAArceH2wMd7AeFNAPDX+haIMbfYHlG0LE/TL+g7vjPyMD25f8fDkaWH/8Z//7/xvMEFA0MDGzPH4JODWJmYmX88/8vAwO4fcQGWvvzj+E/AzPDfybGf/9AKkBssLmjxGgIDGEATuBD2P2jTh8NgVEwGgKjITAaAighQIemP3SqANIqhVkObfrDuKC+AZgNafqDmSACJA5qoP4HH0sJPtyGEdzKB61DgTZq395/+p+BQURJGtwHAFkD0gXe1AoyAgmDphHATefXz16C2uyQVi5IB1gRnAERB4sRT0DX/EAMQW58k2QaRDuyrchGgR0PkoQP9oM42DHEs6A1Uf/BIQa6Exh8vRhk4wQjA2jjBMRAOJsBdCgQpOvF+B/RcWJgYvjPAtoe8OnKU+Zv74WUeEFB/Y+B88/f/wyMf3n+szD842X5AXEHE8RiBgZWsAX/kGcHICpGydEQGGpgtAMw1GJs1L2jITAaAqMhMBoCOEKADk1/iM1oDWDInb6QgeT/kNY8WN3rp6BRfzATQYDar+D7vEBtUEZQkxTUHgabCGrlg7sBoDbzP4Y3D0CLgkQUpUCa4QowugGvnsNsgVkNsQKkC45BJoKHxyEMSCsZwgabDHI8hAHWIiYmAWoQgxrOYD7IiWAGhIBohLAhJJJeiAA+Ek07MheZDTcC5i+IAKw1DuIhBv4hC4FAYrBuANiPcAUg74AvXGP6w/CHDaTuLwsj27f/DBy//rJzf3r8je3/X2EZNgZGxr88//jYf7CBr2ZgZ/wDuncY7CpG8I0CDKBuAGh7AMiIUTwaAkMWjHYAhmzUjTp8NARGQ2A0BEZDABYCuplZJDVBYfqIoKGj/ThVQlv/MHlQI56BAWvTH9TIhiljYPwPaaaDRpNhDVyICHQ9DyPDn89fQMohXQpwGxTERVX8CjTwD27ZQywGqYCMjoNYEK2gZjwkdOCGgIRACkAYLghmiItLgmnQdAIYg3WChOABAeKA2tMgzTAMFoNxMGh4/wFsGDQcIGxkl8D0QbwCMRKkCs6CMCDKIKP+YDZylwCykgrU+Id2Cf6jnNvJxPCPlYGRhZHp5/8fL1/+/MfAygo6iomJj+XPf5a3L34zMf5n/vmPzwhkLjsjtKHPDLOAmeHfX3Sfg1SO4tEQGHJgtAMw5KJs1MGjITAaAqMhMBoCKCGgm5mFwqcuB9QCxW4iaM0PfOEKTBl60x+5zYpsDOQsS/B4P8N/8EIgSFMYtDoI1vSHiIBIsOmo7WKoRaCLasF2wNvnSLZAdIBawxAl8IY4SAhJHYwpLibJADtbH9wbQb4ADOwGkEow4z+yfWDT4YaD5UEK4RgsD+LBGSBPgQQQGCYF1g0iQCEBdgS4yf0ftJEXrhrsSJALYLpAMtAWP6h/AWuxg7tGIHWgvgyorwX2+M+nL0Ehw8bw9+NVDqbf/xkZmf7/Z/377zcHi7Tc5///GfiY/0Ia/RyMf/8yQK8VZgYxQNM2TCDNIAtH8WgIDF0w2gEYunE36vLREBgNgdEQGOkhgNz0hzQFQS1H2oUKzA52STFQ0xTU+gdbCBq0B9kKWogPUQPi4cWgBekgBSD9oEY8qIXKwMjw58tncAMWY6EPTC0Dw/9XT1+C28Tg1i2oJQ2fFAApAknB3QAyHSwIJuANV5A8CMNNYAA1/XEoBreZYSpB1oHY4BY42FAQAdYJ7xKATIY0ukFyII+B5UH+gpgFUgCRAjkWYiREBmQ0RAakBqINZACqOEQFYqIDxIdYCN0bAFIOcg5IAmoFlPrP8Ov5S1ArHrTSn4GP/fv//wx/frEwM/xXlvn4nwF0/doPVi5m8PZhDsa/38C7AFgY/0Lma/4yMI62/sGBOkoMeTDaARjyUTjqgdEQGA2B0RAYgSGA3PSngvdBzU1sxkDE4WPbDAzsUmIQdZDGNESe4T/j62cvQE1MKB+iBIOENVLBKkED3CAGRNV/WNMfxoU0iMHmgQmQ0v+I/cSQPgOk7QxyHritjOImsEFwrWAenACrBjXIGf8ziItKgjozEKPgKpCsB4mBrADRUAxp/kNMgWgE+QY6XQAWgMuBDEJ2F2ghPbjpDlYBCREwH2o0BgXxApIwSCOyIGzgH2QTBENkYW4GbxMGBd/PZ68gxkDdwwyaeGH5/5+Z9beO6Nuv/9ghpzHxMP/gZvoFVsnIxMDAzPgPdNEwAwMT43/wRWIM0yfdA8uOEqMhMITBaAdgCEfeqNNHQ2A0BEZDYASGAJWb/pAQhDUWITwQCWlEglhgzMjALglt+oP5kJYmqFkJPXkT3OyFSYFpaOMWPICNZj7EcIggqD2L2voH6wYT/yV11cEMhtdPwOd7Qs79BGsBt99Bu4lBCkCL/WGTBqDmLUQFzE1w6yACMElGBlDrH+QTiAKYASADISqhLLAXIGwkN4McABEEK4aZChICdQUg3oeToEF5JAy1EVkTSCOKmWABNAKkAaoXLINmPlgMFCsQBoz8BWn6QxwP9ibEHDbG/9oib/+Bz/zkY/r5j4Hh5382XhADJM/O+O8P2OusoMuFQbb+YwBNHsBMHaVHQ2AIg9EOwBCOvFGnj4bAaAiMhsCICgGaNP0hIQhq3UFYMBLWWGTAbPpDWtvwQ/dhOhA03DRsDFDTErR2iIERvKb8z+fPUI1wGxnA21b/g3YGgNYWMTK8eQw754cJ3Lj9Bxq6BrNAY+eg8XtQox/WsAXxIU1tUNsebDjYHWACxAUzxEUl4WyIUSDVYCmIASBZTAxWgNJMhzgb5Csk1cjKIGyIJDIblwhEHBsJ8SVUBtMokAfAknApsKugrX+wDIgAC4LW9TMwGAi9ZQYH4S+wFmYGBg7GXwwMjBzQPQQgpUwQD4Kb/pAtGyBDRvFoCAxxMNoBGOIROOr80RAYDYHREBgBIUDDpj8k9GCNPAgPRIJbhAwMmAP/oEF36Nk7IHVgjDQODeaDCEjbHdQoBbXkoSIgCmQAiIYe8gMdLQcPNYPb7TCbQWpeP4Yt9wcZBBIBNb5R1/9AmsWgVjuchewdUCMWhMEWgBjiIrAjPsHmgQiIlSBJEA9hDEQc3LMASWDFEDUQEtlerIpJFIS4BDTBANvmADUAYh2EA2NDaJAnYM6Ar/kB3boGkYZoYWC4NHMaAwNDcb4yRIAdfEHwb7AaDsb/4FVFjKyMjCygy78YmBhBF4D9A8uCzIfoGSVHQ2Aog9EOwFCOvVG3j4bAaAiMhsBwDwHdLPAJP7AmHa28C27bQQ2HsVHW/EAEwc5AnLsPapmC2+wQBlQ/aEgZwoS3X+EMiPhvyKg/ZMk5mhxEBQPoOlv4NlZQ4x9sNaiVD7cL2hQFrb4H34gF0glSADEQNk0B6jCA9IOwhLAESAG6CSCNIAzxI0ghiAcxBsSC9VigeiFCWEm4CVhliRBEthShHLLlAMInZAVUnpEBfeAfop2B4dIMUNMfwmMGLfJn+Atp8DMwsDEy/gNPy7CCegyMBlqs/xj+nzgLmh74D9oMAArxf8ixAjFllBwNgSEIRjsAQzDSRp08GgKjITAaAiMjBKCtf4hnQa0v8Cg2hEtdEty8hhrJyMAugbTcH9qiBEmCBv7RBvuRNcIayiClyBiiBdLs/s/w5+tnSDMX0p5mBK2/QWrh/mdg+AM7ihPJauhRoXCjkM0HhQwIg0bqwVpAJoPsgAiClf5nkBCRALXt4Qog7gFLIgiIDrAaiLugUmBxkJFQPpQCWQRlEkXBTQB1TyC2YNUHl4IHL1wEUz1cDUwK0fTHkEJu/YNCA3Tz8n8mRkbQxcGwbgArI7OuFtM/kNQ/BgZGc2NWJnCf7ji4J8AMmrGB2TRKj4IhC0Y7AEM26kYdPhoCoyEwGgLDNwRQmv7I3gS3RKGj2sjiVGKDRv2xtTURo/5obUpw0x3ULMemC+HO/6Abf39/+QJevMMIPZcG1LxkYGCC6QSvGfoPuXsKYiKkrQlig7yHbDOCDdENChYIC6wSzATbApKQEEZf8wNviINa+SAdMJeCNUIFIWywLFQaZBiEDyUR5kAFEBT+Jj66RmS7EGYQ3d+DOOw/tlF/mNSl6YiBf4gNFQVqEAa4D8YA2V7ByMCor8XyjwF64A9ktwXEdZbGbIwMDCfO/oboGiVHQ2BIg9EOwJCOvlHHj4bAaAiMhsBwCwGcTX9kj8Jadchi5LPB7TtQ0x8yKI5oXIOMBDX9YU1waDsYJIzAIEmwCQghiDlw/n+Gv59Ad/qCWv//QWYw/WcUEuB9+fM9ZBAapBDkI8a/H7+B2AwMzFzcIHVwY0F2QGQQJKQNDR2DB6lEWyYPasZLCIFG/UGSIAxbrYQwA9bChjSBYTyQ1RA1IFdBWGASYgiYCSXQFEBFQRTEeSAWHGPVjikIV08i49dz6CmfaPouT0Vv+iMrgHkdJGagzcoJ2v/7nwnUXwMFIBMoTP5DugFMoL3ZDL0T74KUjuLREBjiYLQDMMQjcNT5oyEwGgKjITBcQoCopj+yZyGtT8pbkDjW/ICa/hDrULsEEDE4CXEFnItoPYOFQE1/mAtBbWLwjIGQAC8DA4M4uyADA8OrP+/A3QCwBMQiRoa/374y/Ad3A8CGQAmwEkSLH2wxyEzQ0h+wEogcWEhCCHzID1gYLAA+OAjmEpAwWDuIAe+uwNrCCFUQFsRVYFdC1cMpiAI4l1QGhdph1uFZ84On9Q9p1kPMMNBiBTX1wRzIVAC4pwbqAzCCOgMgh4bG3QDLjxKjITAcwGgHYDjE4qgfRkNgNARGQ2BIhwDJTX9k30IasqAWGrIosWzQwD82vYjWP7x9TIyRSEaBmv4QLbAG9H9GBiF+Xoh7ITIMDAxiLEIMDAyv/7wF9Rwg1wND2vEMoG4AIyMDiwA/SDF8EgBiBZIpMOUgVaBW7H8GROsfSTGkGwA6fBSmENS8hbAhJEwx3GyIAMhhyAqw9gQgCuhO/nz2Cu5aqOUQ/n8GPE1/qEpQYIFiF9z6h4oxgY8D+v+fgQl08A9I8B/Dv/C4myDWKB4NgWEERjsAwygyR70yGgKjITAaAkMtBChq+iN7FtbsQxbDz4Y2/aGNXIRalKY/RBjWgofw0Em4CUiMv59Ba36gKsHiQnygUX+IM6HiSJQoizDDf4bnDN9AA/UQRWBdDAwMfz58ZGCAdQPgWiCyYJWQlj2kGyAhKAVSAhECsTCW/aBNI2C25pFNBpsAEQAzYQRECDlYIGywe2CKaE5DTvmEuwVu3+Up+Nb8wJUxMDDAmv7gexnAEtCBf/BkCPjcz/+jA//ggBklhhsY7QAMtxgd9c9oCIyGwGgIDIkQ0M0Gn+9JRbdCWoJEGAhq+kOUQZqtEDYDA5amP0SKaJNB7XXYcn+IVgYGBkjTH8KFjOPDzUNrMDOBNgkz/ONBjLmDdP1n/M/I8PvDJwbG/6z84NkAuDaIQWCupABozQ9EgOEfWAiyvRhiJcggBIZ0ECB9BqhlYB0IFRCDwIJgAqQKzoAqg6iBcCBsCAkRgZMQbXAuHgZcOyEtkKY/skkQrYwMDKS3/uF9IIgZCFOD464hOKOs0RAYXoDx/+iJtsMrRkd9MxoCoyEwGgKDPwRArX9IwxS90UWZ28HD23iMQDT9URWBzvdEFYHy8DoP0oyGq4Re7AXmw6VArX+8hsCbnwz/GV4+egJakgLezfuXk4HhHyMrDzfYPBABba8z/mcRBHcDYDolBcFNf6RbasEqYbbCG9NwBkwjyFDoMhgIE2O6ACaMoJEMgVmAkCSfhdoTA5mDLIJkKWbTH6QYjK8QPfAPVo4gls3SgnM4OaHMwNjR1j80KEapYQlGOwDDMlpHPTUaAqMhMBoCgzQEQE1/ZKdRsxUJMhfUVsRhJtbWP86mP8gwMMZhGryJDx/1B6uGEowMDEK8oDU/UD6oXY/UvMZmJuN/hhePn0CMhXSOmPl4QPpYQaPvUHPABwmB2/cMrOBuAGTgH76a/z9KNwBbfwgUQFDDEPsBYAJQGlkNVAgnBXEMTmkqSoDv9sIWcgxkN/2RXQfpBnBxMgbEXkUWH2WPhsCwBKMdgGEZraOeGg2B0RAYDYFBFwLoTX+IA7E26CBSZJGQBjSaVqxNf9AJPM9fQlXicgYucbA2RgaGP+AFP2AeYixdGK3pD5XGoFANZ2RgePHoCaixz8jAygNu+jOCjqMHaQO3yP8zQ7oQoGb9f0YGUWZQB4NTVhrR+gcrA/UZwP0EkEbUwX64SqgUmEJvwcMMAUsSS0B6LCDVjOCrdEEsVEyWsXAjfj1/hRpacBnqtP4Rxo2yRkNgZIDRDsDIiOdRX46GwGgIjIbAwIUA9qY/xD24mnUQWdJJUDsTyUzCTX9kK5A0IoSxCoKb4n8+fQbTCLWgpj8O9QhFaCwk9ZAlQCzg1j+isQ7pBjCCtgeDBBkZRNhA3QNQVwFmFKecNMIYxCTAf0TjHhQuMNXIbJgYymwAVgVwlcQxEO7Bqh5thQ+iA4GuGu10f2RjqTLwj27fKH80BEYGGO0AjIx4HvXlaAiMhsBoCAwEoGfTHzrYDWshktb0Rw4cmAkgMWQ2iA/Ffz9/BrGgsqD2MqjpDxKCYagUjEuQBqt/++4DSCHIPBANwaBVPRARcE9AhB3c+ofIgUb7wSywAg45aTAH0isBmwi5IgAsC5WCU6iCiK4CDgVwYZIYUEcQrwfVVaOtf+JDblTlaAiQBEZPASIpuEYVj4bAaAiMhsBoCBAVAvia/kQZQLIiaNMR7VYvJGNwHvKDpAZ5WB0kDDUUxATh/wx/IE1/EAd8MSyoCf5fmJcPLIBEQDQS3f7lkBAHaX4P7gCAWGAMNoQRcjIlA4MwF2rTH9LjAat5Bz51FHwCKKT1D5Fj+A9ZEQVxBlgl2FwwgSoIsgWrAqhJYC2kE3AjIbYRNgCiDrzcHzTdgaoBMm0wOvCPGiqjvNEQIAeMdgDICbVRPaMhMBoCoyEwGgK4QoD+TX+4S9glxOBsZAZRTX+IBkgbE8JGJcELflCE/jMwCPPyQdrYKBKkcDjEwU1/rFpgC2OEubE1/WFa3n35Am0rw5vbIClQUxriNtAcAkgEFaMoBklBFWOIQztFmOIgTcRiiG6QmwjpQIz6Q1RDdIJ1EX/EJ1j5KDEaAqMhgBOMdgBwBs2oxGgIjIbAaAiMhgCpITC0W/8Q30JanJDWJ0SEAWXgHyIGH/WHLJ6BtJ4hUggSd3cCogZf6x+sQgiyHwDMRhAQFzIwgJr+MFEk9yKYELdhb8FDVMGMghgDVQ/hIJOoypBlSGJDjIHYjFUjovUPkYZoALNHW//gYBglRkOAOmC0A0CdcBw1ZTQERkNgNARGeAgMZNNfEjTwD2lWIjfESRj4R4s8iFlgQcSaH1hjFNT0R1IAVgXeocvAgGw7RBw6No+hnmDTH3SDGC/GwD9sQQ5ozQ/MPaBVSBDLoDMGEAmkHcAwXRBVeEgsC4EgqqEmQziUklD3oRqD3vSHyILD7fJUYm/2hWgaJUdDYDQECILRDgDBIBpVMBoCoyEwGgKjIYAvBAa86Y/sOMgY9utnL0EMjAF4SNMTWT12Nlgd5pofBvCaH+iAOnadOETBBkI0gpb7g9u1OJSChIWwNv1BMiCM1voHCUEwxBYQG7X1D+kiIGRBKqA9EzAThYC4DU0xxASiOxIoBuLgQGz4z8CAvekP1jXa9AcHwygxGgLUB6MdAOqH6aiJoyEwGgKjITBCQmBQNf0hYQ4d9Ye0LuENVlijFkSDjtGHqMVJ4mz6Q3Rg9CsgwgRJUNMfogjiPJBrIHwESaDp/+ULQimMBTIGYiBIBMQD0QQxjkF9qOcgxiCMhRmHSxwmTyo92vonNcRG1Y+GAFXAaAeAKsE4ashoCIyGwGgIjKwQGLxNf6zxgNyQZQQPxCN1A5Bbwtib/nx8YD1IRkMMhLSGkYTxMLGs+YG2tRGa8LT+kZf7ow3eg4xB+AGbyyBiCHvwsVD8BOFgascljs9gdLmfz1+hC8H4owP/sJAYpUdDgFZgtANAq5AdNXc0BEZDYDQEhmUIDGDTn4GBgfzT/dEiA9INgAmC2s//GUCtf0hjF9LAZWAQ5oOd7wlqZcNUw2lUxXBhNAa7uDhEIYo4yEr4kZ3QW4Q5ZUAH+X9/8hSkEqLnP8pOX7SmP0gZBEMUg9ioi38Q4iA5ghjmbySFeEyAqMajAMkYNCau1v9o0x8toEa5oyFAIzB6ERiNAnbU2NEQGA2B0RAYbiFA5aY/pPlIdCBRremPzca/oDt90SVAm32RxXA5GEkc2hiGibCjHvEJlYWYCVGDIgSRgJKQbgBouT9UAKm3ABeB3PMF7ktIa6ozMKC2/iHKcFmBTRziKIg+BIlNJUIWwiJGDVglrqY/AwPDaOsfHEKjxGgI0AOMzgDQI5RH7RgNgdEQGA2BoR4CVG79kxIcA9/0h7gW6yQARAqNZGQANf0xWtMQAWhTGUoh6YRLgxmfmZgRcpiKIXMGSOJgTahORJJFGAVngbsNcB6EAdEBNgoiACYhfIgcWAALQYSa0aY/lnAbFRoNgQECox2AAQr4UWtHwWgIjIbAEAkB3Zws9BXw9HI5TZv+oAU/GKPq6KP+aD6FNIIhjV24FIYgqPWPtv8YrhjScMewFyQPMYeB4dWLFyAuGLMK8DMwMPz++BHMgxJQ+2HqEeuCkE8hhctCNWFQOBRADUdTjkMxmipoOsGmeLT1jx5Wo/zREBhQMNoBGNDgH7V8NARGQ2A0BAZxCICa/hDnQZp02NuGEBVUJtmlxKCtSVSDoYf8oAqSwYO0/pEPt0Qs94eL4jIXa2iABaFNf4hGSHBhDMpDhJHH35HZr57DWv+wXQqMDAys/Pz/GRj+gLsBEO0QG1BIeOsf7BIUKawciEEYilHdC9OJQzFMGpVGVfzzGXizL4ZFo2t+UENtlDcaAnQFox0Augb3qGWjITAaAqMhMCRCANH0R3YupA0Had4hi1ObDWr9YxtBp0rrH970h7tamI8P4jO4CHRMnRSfQpr+yE15kCH/YQP+YKMhtkBIsACUgIggmv4omhD9IBZ+LLMBUCMgFMQgCJsYEpt6fJ6GyGHThcW2/wyjo/5YgmVUaDQEBgcY7QAMjngYdcVoCIyGwGgIDI4QwN70R3YbpP0HaQsii1ODDW36IxsFtu7Vs5fIYuSxMZv+oIu94Of8YBqKfTAcXR27hDi8kQ52LEwBJIggQkinjsKkETRy0x8hioOFdVEQSC3EIhCLCIxNMcS9BDRj04hVy2jrH2uwjAqOhsAgAaMdgEESEaPOGA2B0RAYDYEBDgHCTX9kB0IagkS1GZG14WRjafqD1Q5M0x9sNZTA2w0Atf6RJisg4QEKGwgLagRoyT9ocgBNkIHhJWzBD7IlIO1wjcgMJAlWgrMByBqR2UiGIAsjeQJNGJUL8gaqCAZvtOmPESSjAqMhMOjAaAdg0EXJqINGQ2A0BEZDgM4hQFrTH9lxyO1WZHGCbKSmMK6mP8SMPx9A+19ZwHthISIkkUSO+uNs1uJuLkOb/siuYWSAr8OHrv9BkkVIwQRfvngBV4YID0aG/xDXQEiIYmQ2RARMktMNwGEU2Dz4TAaEh4OEuBVbyIw2/XEE2ajwaAgMOjDaARh0UTLqoNEQGA2B0RCgZwiQ3/qn2JX4m/7IxuPrBuDuhPz5/BnZEAILfsAr7+HNWkQ7GdLeRTIIpemPJIvexIeYBVPwH8yFqAE1/eEGgsVBTW8IAz4UD+fCReBa4Ayw3yHdALgYeQyYM4nTjew2mA58rf9p02CqRunREBgNgUEBRjsAgyIaRh0xGgKjITAaAvQPgSHR9Ic0TCENTuzdAGQVsEAkcuAfphxEQ4yBkCA+uD/AgLp2H6XpD1EEcRlYG3ITHyIJatZDWVDq5UvYIT9QARgFMQfGI4qGaGFkEJUWJ0o9no4EaI0SpmNxm4roHoHUjDb9QaEwikdDYEiB0Q7AkIquUceOhsBoCIyGADVCQCcnC24MpBkJ59KBget0fzxWgxvYoPUyDAwM6N0AVA+Q0fTHYy/8RFBGBgYsrX+ITojjIGzY1bxQR4FH6CEyyKf7Q32CqhGijCgSajpILbGtfyQtIG2UY7Djf74AH/GJzbTLo6P+2IJlVGw0BAYJGO0ADJKIGHXGaAiMhsBoCNAjBJCb/hD7wA05aIsUIkI7koymP7JjkJ2K6AbARKne9IdbzSEpBmaDbYKM84P5UALStgZLgkRQJw0gIYv9nB+k7gFII4mYQNMf2VUQNm7z4W7HrQSLDGjgH4fJo61/LOE1KjQaAoMJjHYABlNsjLplNARGQ2A0BGgWAphNf2SrIE1AHM05ZIVkskHL/SF2kGkAQhvEGIhTod0AQX7M1j+BO30R5uFjwZr+SGogq/jxdAMgF3jBugHIy/0hbkYyiywmwTU/yNYgs7HZBglMbDL4xEBNf4g86log0N1eowP/kJAZJUfB4AajHYDBHT+jrhsNgdEQGA0BikMAf9Mf2XjM5iCBBiSmBmTjwGxQ0x/MgIyFk7LSHKINOwmxGeI8tNY/etMfogiiAbthWETZJUCj/hBNEANQFOHpBsAu/wIt94fohy2+Bx3vA15tjzCKyEkAmAtwjvrDFCBMJoIFdx0RaqFKEE1/qABkqwTIV6Oj/vAgGWWMhsDgB6MdgMEfR6MuHA2B0RAYDQEyQ4D4pj8uCzBGeJEUEmo/Ipr+cE2EtMAVEsmAmIfc+sXe+ifSOJgySOsfxgP1WZCtgIuDTv0EuQBVkhHUGsa55ge+qwBuCkQ3yBy4EBIDIgsWEJWBbfbFFytgpYQIXLbh14el9Q/TMNr6h4XEKD0aAkMDjHYAhkY8jbpyNARGQ2A0BEgNAcpb/xAbIY1F5KFqpEYpRAkWEkvrHzIQDjEOiw5KhajT9Icu9wc7BsmpECYWj4OE/oO6CNAJDgbQZl+Iahz+hawegkwhgK0BEyBzwAxsBKLpD5HFqxiiBBcJdxouBVjF8TX9p48e8Yk1zEYFR0NgUIPRDsCgjp5Rx42GwGgIjIYAGSFAraY/stXIDUcIG1crlE0KungGuwKIKPIYNsQ4ZMtIZBPb9EfuxGBYgWWDMtypYMWMuLRD3f//1YuXYIWgGQAQAyKOaghIHIJxmQaRhZHoTX+YOHk0xEUk6cXT9Aet+B9t/ZMUmqOKR0Ng0IDRDsCgiYpRh4yGwGgIjIYAxSFAi6Y/LkdhjmRDmv5w9ZDmJqQBDBeEMpBFIWyIaqg0sZQwDzd49B3W5sajD2ILpNkNYcNW42Bp+iObA1MM6rNA2GhOZWR4+eIl1BlgjRBVoCkBuEqIEJwLVgZSAHMDRACNpLD1D7ENq81oFuHi4mn9Xx5t+uMKtVHx0RAYCmC0AzAUYmnUjaMhMBoCoyFAKATo2fRHdgukG4CnDY3cDEXWiM4mvaEKav1DTIHohbAJksiKGRlALoc4kaBG+H5XZBMYGF4+Bw/8Q7oWaD0RmCDUbIhGsHVgAtwFQBKEKmNgIK/pD+qigI2AGA5mIndMIAJEkaNNf6KCaVTRaAgMWTDaARiyUTfq8NEQGA2B0RAAh8BANf3BloMb0BAWXhLSJIW0dfEpRGsx41CKaPpD1tnjUIZfGNT0h6iAOAviRIgIXhKu8BWk6Q9RDBOFt8IhwuA2PqzrABFC8iNEE8R+iCTxTX9kiyDm4J1OgBhPFDna+icqmEYVjYbAUAajHYChHHujbh8NgdEQGNkhMLBNfwYGYlv/kFhCbuZCRLCTEHXwJi1Sc5mBgQGl6Y9dP2FRRNMfWS3EXmQRvOxXz8AD//Ahf7A7QfMhkC3BcHGIIWBZCBOTBPmVEXSkEKT1j9yyx1SM3MoHacSqglzB0aY/uSE3qm80BIYYGO0ADLEIG3XuaAiMhsBoCDAwMAx80x+805ek9SUE27UoMQtpjkNauGC2MDc3igKyONib/mQZ9ef9RwYGBhZBfoQbGWHD/eDmPkIcYj5YEMKEqYPyGBgYIAf8Q7QgN/ERKiBzHXAVaKZBxMEBBY0UZDaKKdg5o01/7OEyKjoaAsMUjHYAhmnEjnprNARGQ2D4hsDAtv5RzvcksZWJ3EwlKn4g5jMwCHFzk9Z/wGY6FVv/T6/dAjmNkQF6FbEAtBsAaqXj6QaA9CAtBwI34kGj/pBwAWlGl4X6A6IRogAqhDrFAFeAVQ1W8+HmMDCMtv6RAmOUORoCIwKMdgBGRDSPenI0BEZDYHiEwCBq+iMHKKT1CW9lIktRzIYM/FNoNhWb/nAPgVb7wBrhoG7Af9BsAHzwnhG8pAfOhbgfEk6g4X8IH77ZFyoBNhsXGyxJJoFpJswBo01/MoN0VNtoCAxxMNoBGOIROOr80RAYDYGREQKDtOmPHPiQViasZYksQwmbQ176x8OnELPJMIcWTX+4M0A3A8Db+JDZAKRuAEQWcuEXJFQgJMQvkDU/cKPozWAEj/pDHIRh9+gRnxhBMiowGgLDDYx2AIZbjI76ZzQERkNgmIXAEGj6I4c4pHmLo2UJUQiRhCiEiGAhkRRxyEszMDD8ePgUizLcQrRt+oPtRXIjmA9efgOfDUCWhXgWIiIqJQ5TPWD06MD/gAX9qMWjITA4wGgHYHDEw6grRkNgNARGQwAjBAa26Q865Aey0xfDYYQFkBu8hFUTpYKkbgBNW///wQv1QV4Et+jBBHRdD0gQrRsAFoLMA4hLgpr+EPVE+ZkGihBNfwx3jA780yC8R40cDYFBCkY7AIM0YkadNRoCoyEwkkNgCDf9kaMN3PaFHkqDLE4MG6IXvsAG3Kpm+M/AIQeeDXiEczYAukcZo3VLjJ1Y1UBMgjgHwoYoA7HBu3hBXEaoL0GC/0GdAYgg4qQgRgZxCVDrnwGyNwCmHqSMXhjR9Mdm42jrH1uojIqNhsCwBaMdgGEbtaMeGw2B0RAYiiEwTJr+yEGP2XYGy4LayrBNtGABbAREEUQGiY21GwBt+kMU47AUIkkkiWQhtH2P0AgxH9ItQYiCWYwM/yF9AJh+/l9/QBKoWiA8mBKQPE0xntb/aNOfpiE/avhoCAxOwPj/P93Kn8EZAqOuGg2B0RAYDYHBEgI6uZlQp0COmIFy6EShNKBpZCeOCgfSGsZiJw71yCp/PHoKWR2ELAhiE6EXpAwbJqj12fVb2PTBxCAdAAYGIR5uxn8wQTCN1an4rINMMsADCJ9SsAUYBM6m/3+G0aY/RmiNCoyGwEgBox2AkRLTo/4cDYHREBjMIYBo+sNdScc+AD2a/nB/Ia/qQRbEnA0gvrELbx+jGogxbo8mjYVLpJ0EOwAM4NY/fIYAuRuAtQ+AJVRweQqLUiweYcB7uj/DaOsfe5iNio6GwEgBo0uARkpMj/pzNARGQ2BwhgCWpj/EoZB9o7TvBtC79Q9vFGO0tSECiHYvZPAbEhp4SIQGDEUQKYi5GJKYAkQphJiJqRlJRJgHemkxZLswSIYJRDCAZwN+PHz6n4EB0g3AaRhOCbA5EFm8zsU58M/AcHnaNLApo8RoCIyGwMgFox2AkRv3oz4fDYHREBjYEMDZ9Ed2Fi27AQPQ9EfxGpiD0YqFCECauNDttBAhsHIUAqoIRYw8Di4b0E0jZCPk2jK4LohyXN0ABkbonma4eigDog3KwU1BlEGcjsQebfrjDrJRmdEQGA0BKBjtAEADYpQaDYHREBgNAbqFAFFNf2TXIHcDkNnIakhhD3DTH9mpSC1XZGEUNnwqAK4YwkBRRCYH0n4mVjNe1Witf7iZEMfCtf4HzwZAFgX9AB9nBNnTDFcPXbkE0YYQxcFCUoan6c8wOvCPI/xGhUdDYGSC0Q7AyIz3UTAaAqMhMDAhQHLTH9mZkKY/RATCJn2B0CBq+kM8AiEhrVh4GxkiiExCFEBEkNkQEfwkRD2G4RgCMFPQ1MO7HzB5TBpX0x9ZJZqp0G4A2BFU6AYwMPx89grZOmT26Jof5NAYZY+GwChgYGAY7QCMJoPREBgNgdEQoEcIUNT0x+VAxv8MRPcBBmnTH9lrSE3t/7A9weAWMnQpELJaUtmgcIIdzoNvGy2knQ7fqACxBiIIcQpEBEYKcXNDJGECBGiIYrhJ/xnBXgPzye4GjDb9CQT6qPRoCIyGAAYY7QBgBMmowGgIjIbAaAhQOwRo0vqHOBIyFQBhQ0hQUxfCQpBDoPUPcSxqHwAiBm+vI7eeIWy4AkwGvAsB1Q5uZIMJTLVgEYImIrkNtEqHkYGYgX+w0egExCqEY5D40G6APOi+M3Rt2PijrX9soTIqNhoCoyFAAIweA0oggEalR0NgNARGQ4CSEKBh0x+/s2DdgCHT9Id4B9EohvAJkJCWM6SJj8zGrg2X4XCd2LXBRJG0/wSv3YdJUJVGsgVyUhAu00eb/rhCZlR8NARGQ4AgGO0AEAyiUQWjITAaAqMhQE4IjDb9yQk1ND1IrWE0GZK5WI0ivekP1wEZqifZGURqQHItZjdgtOlPZCiOKhsNgdEQwAVGOwC4QmZUfDQERkNgNATIDIEBa/rD3MsuKQ5jDmUaqRFMHW+grQqCt+XxmI7kBqzK6d8NGG3944muUanREBgNASLBaAeAyIAaVTYaAqMhMBoChENg4Jv+UuCmP1KzlbCjB7OKAfQIktVYm/7IwUafbsDP5y855GSQ7YWzR8/5gQfFKGM0BEZDgBgw2gEgJpRG1YyGwGgIjIYAgRAY8KY/AwMDO6T1D1kRT8C9Q0EaqQlOb+ciWU2w9Q93G+26AT+fvYTbwsDAgNYNGG39IwfOKHs0BEZDgBgw2gEgJpRG1YyGwGgIjIYAzhAYXE1/iDOR2q8QgaFHDpQXkOwlvumPHLxU7wagtf7hdnHIyYw2/eGhMcoYDYHRECAJjHYASAquUcWjITAaAqMhgBICA976R4z6w92F1ISFiw1JBp09gmQdeU1/5ECmSjcAV9MfYtHtLZsgjFFyNARGQ2A0BEgFo/cAkBpio+pHQ2A0BEZDABQCg7HpD3IX+AItpLYsRGxIksjn7pPtAWIMoUFwcciBDvInuxuAv+lPdmCMahwNgVEwGgIQMNoBgITDKDkaAqMhMBoCxIbA4G36Q3xAg+YsxOABICFD8RAfkcH+zwC6sYt0dyMfF0S6boQO8roBo61/RAiOskZDYDQEaANGOwC0CddRU0dDYDQEhmMIDPamPyTMkRvKEJGhTkJ8BPEFkWySmv6oswTINkDspJAkvhvw8znKZl8K7R3VPhoCoyEwGgK4wGgHAFfIjIqPhsBoCIyGACIEBrzpj3LID8Jd2FiQ8XJsMiNCjFTvo6qneusfHub4uwHQUX+I9agdErgJo4zREBgNgdEQoBYY7QBQKyRHzRkNgdEQGJ4hMJSa/pAYGMnNR9TWPCQ88JEY6qm1+AeXpVi7AdDWPy49o+KjITAaAqMhQG0w2gGgdoiOmjcaAqMhMFxCYOg1/YdLyJPjD4ymPFGGYHSWIEPwROmlQBGHnDRkfzBK058+dlPg7FGtoyEwGgLDBox2AIZNVI56ZDQERkOAmiEw4K1/LOd7UtN/w8gs8pr+kADA0AuZAYAL065NzsjKCnEClKSdTVALRqnREBgNgdEQQIDRDgAiLEZZoyEwGgKjIcDAwDAcmv4YA9vDOWYhnoU3oOGNd2L8DNGLqhLZAAgbbjaqQvJ5P5+/gmjmkJdhYGD48fAJhDtKjobAaAiMhgB9wGgHgD7hPGrLaAiMhsAQCIEBb/qTsNOXYHBCGq2QBixBxUNdAcSzEF9A2MR7nAj1EMMgCiGWkE3Cm/7IJkC7AY9GuwHIoTLKHg2B0RCgIRjtANAwcEeNHg2B0RAYKiEwrJr+yIEOabRCGrDI4qNstBCgfUBhbfoju4JDDjwbMNoNQA6UUfZoCIyGAG3AaAeANuE6aupoCIyGwBAJgWHb9EcOf9q3bpFtG8JsmgUUtPUP6YlBbMERTNBuwOiiIBzhMyo8GgKjIUAVwPj/P6RAooppo4aMhsBoCIyGwJAJgRHR9McEI6fIp9CnOLTjbb1jBjfDz2fQ5f7ockQYhGdvwO0tm9ANHOWPhsBoCIyGANFgdAaA6KAaVTgaAqMhMFxCYIQ2/SHRh23bK0Rm+JA42u6keRDSQMcwCiIAkSRoIM7WPwMDAxEGQWcDRhcFEQzoUQWjITAaAiSC0Q4AiQE2qnw0BEZDYIiHwIhu/UPiDtJ6hTRAISLDhqS6p3D0lyCnheIJNuiaH7gKZHOQ2QQNYmAY7QbAQ3GUMRoCoyFALTDaAaBWSI6aMxoCoyEw2ENgtOk/2GOIcvfRom+Dw0xIXwMiiexwlKY/sjQmG2IEEX0AhtFuAHIQj7JHQ2A0BCgGox0AioNw1IDREBgNgUEfAqNNf/QogjQ90UWHBZ9GXoM03zEMRxP4BTvgn6ighJiJSyma0WBl0ANDR7cIg0NjlBgNgdEQIBuMdgDIDrpRjaMhMBoCQyAERpv+2CMJ0vTE1sTErn4IiSIvsKG6s3GHG2lNf8ocBukGUGbGqO7REBgNgRENRjsAIzr6Rz0/GgLDOARGm/6EIxd3c5aw3qGoAtm/yGxS/QLXC2b8wnXOD6nGYqpH7syA7WJgYLg8dRqmwlGR0RAYDYHRECAJjHYASAquUcWjITAaAkMgBEab/sRG0vCbAUD2EaTFDBGBsCHhgsyGiJBHgs2hbesf4jCwRRDmaOsfEg6j5GgIjIYAhWC0A0BhAI5qHw2B0RAYRCEwGJr+DAwM7FLigyhQ8DgFeYAZj7IhIQVp6EOcitRiZkBmQ2SpRNKw6Y/sQpj7R5v+yKEyyh4NgdEQoBCMXgRGYQCOah8NgdEQGCwhMBha/0Om6Y8WacitZzSpIcSF+ALWYibW4RBdxKoGqUNZ7o9fO8QxEDW42CAj8eHRpj++0BmVGw2B0RAgC4zOAJAVbKOaRkNgNAQGUwiMNv0HU2wMnFswW9jEuAVZFxHqUVr/RKgHKYFYAWIxoMxIQMQh3QOILAY52vrHCJJRgdEQGA0BKoDRDgAVAnHUiFEwGgIDFQKjTf+BCvnBay+kVU28+/C2v5GNwdL0J6gXogC/kyCyEJVI9o02/ZECY5Q5GgKjIUBlMLoEiMoBOmrcaAiMhgB9QmC06U/lcMZogFLZ/EFoHNFehjb9iVaPxa+QVj4WCVQhmBWjrX/UcBnljYbAaAhQGYx2AKgcoKPGjYbAaAjQOgQGQ9N/KO30JSk+YA1QkjQNScVE+xTU+idaMYGgIKIbcHnK6CmfBEJxVHo0BEZDgHIwugSI8jAcNWE0BEZDgE4hMNr0p21AU6uZS1tXUsP0/0hr8XH7GtT0Z2BgwK2ABKeMNv1JCKxRpaMhMBoCNAejHQCaB/GoBaMhMBoCVAmBwdD6H6qH/FAlAoaTIcjNcQgbtZVPzaY/JNwg5kPsgoigkqMD/6jhMcobDYHREKAtGF0CRNvwHTV9NARGQ4DyEBht+lMehiSYAGmqkqBhuCiFeRzU+oexaeI31G7AaNOfJoE8auhoCIyGAF4wOgOAN3hGJUdDYDQEBjQERpv+AxD8w+l2MOKDD9zip9PdXmC7GBgZRpv+xMfPqMrREBgNAeqC0Q4AdcNz1LTREBgNAeqEwGBo+g/bnb74owjSPMWvZjjJgv1Lp6Y/UriNtv6RAmOUORoCoyFAbzDaAaB3iI/aNxoCoyGAPwRGm/74w4fmspAFKuBmMfTWKkw2A3gTLUSc5g6ipQVgL9C59T96xCctY3TU7NEQGA0BosDoHgCigmlU0WgIjIYAHUJgtOlPh0CmvhXgNjT1jaW1iWBn07npz8DAMNr6p3XEjpo/GgKjIUAMGJ0BICaURtWMhsBoCNA2BEab/rQNX5qaPuT2DICb/gwMDHRu/Y82/WmaDEcNHwWjIUASGO0AkBRco4pHQ2A0BKgfAoOh9T96vif58QprT5NvAq11QlyItLRptOlP6yAfNX80BEZDYJCD0Q7AII+gUeeNhsBwDoHRpv/Qjl1Iw3ow+wHZhWA2nZv+o2t+BnPqGHXbaAiMZDDaARjJsT/q99EQGLAQGAxN/xF6yA8V43wwL/4BN/fR/Ern1v/omh+08B/ljobAaAgMHjDaARg8cTHqktEQGBEhMNr0H1bRPJj7AEgBTeem/+jAP1LYjzJHQ2A0BAYjGO0ADMZYGXXTaAgMyxAYbfoPy2hFOSp08PgQtuJ/tOk/eOJk1CWjITAaAoMHjHYABk9cjLpkNASGbQiMNv2HbdTCPQafCoC0vBkYGLAtwoErpw/j1/NX9LEIYsvomh9IOIySoyEwGgKDH4x2AAZ/HI26cDQEhnAIjDb9h3Dkkep0eNMfohHeJYBw6UuODvzTN7xHbRsNgdEQGGJgtAMwxCJs1LmjITCEQmC09T+EIosmToV0Ceg7FTDa9KdJVI4aOhoCoyEwvMBoB2B4xeeob0ZDYHCEwGjTf3DEw+BwBR27AaOt/8ER5aOuGA2B0RAY7GC0AzDYY2jUfaMhMLRCYLTpP7Tii36upXE3YLTpT7+oHLVpNARGQ2Dog9EOwNCPw1EfjIbA4AiB0ab/4IiHwQ3gGwMg/QFq7BXG1/Snzeqj0c2+gzuRjbpuNARGQ4AwGO0AEA6jURWjITAaAvhDYLTpjz98RmVRQgDe9IeIwrsEEC6JJL7WP4lGEal8tPVPZECNKhsNgdEQGMxgtAMwmGNn1G2jITDYQ2CQNP0ZGBj//fw52ANr1H1UDQGimv6U9S7Q3Dva9EcLkFHuaAiMhsDQBaMdgKEbd6MuHw2BgQyBQdP0Z2CXEh/IgBi1m+4hQFTTH+4qyIQDZWuBRpv+8OAcZYyGwGgIDA8w2gEYHvE46ovREKBrCAyS1v9o05+usU47y0hpo5PW+oe7mRQr4JogjNHWPyQcRsnREBgNgeEERjsAwyk2R/0yGgI0D4HRpj/Ng3jEWkCojU5m0x85PAlZgayWgYFhtOmPFiCj3NEQGA2BYQNGOwDDJipHPTIaArQNgdGmP23Dd9R0SAhgW7VPhaY/xHAISVw3YLT1DwmtUXI0BEZDYFiC0Q7AsIzWUU+NhgA1Q2C06U/N0Bw1i2AIoDbQqdz6h9uOracBkRxt+kPCYZQcDYHREBjGYLQDMIwjd9RroyFAaQgMkqY/A8PoTl9Ko3Lo6Wdk+PnsFSNlm3cJ+Bq1pzG65odAcI1Kj4bAaAgMI8D4/z9Ny9dhFFSjXhkNgZEUAqNN/5EU24PRrz+fvYI66z8DpKEO5dKI+j+64p9GITtq7GgIjIbAYASjMwCDMVZG3TQaAgMYAqNN/wEM/FGrGRhAA/9o4fCfgbZ9gMtTpqHZOModDYHREBgNgeENRjsAwzt+R8FoCJAWAoOk9T96vidp0TZcVCNG/TF8BJmqpsVUwGjrHyOwRwVGQ2A0BIY/GO0ADP84HvXhaAgQEwKjTX9iQmlUDe1CAE/rH24pdbsBo01/eMCOMkZDYDQERhoY7QCMtBgf9e9oCKCHwCBp+jMwMrJJiqE7bpQ/AkKAmKY/cjBQ3g0Ybfojh+coezQERkNgBILRDsAIjPRRL4+GADQEBkvTf/SQH2iEjDiK1KY/cgCR3Q0Ybf0jB+MoezQERkNgZILRDsDIjPdRX4/0EBht+o/0FDAI/E9J6x/ufJL2B482/eHhNsoYDYHREBjhYLQDMMITwKj3R1wIjDb9R1yUDz4PU6XpD/cWMVMBo01/eHCNMkZDYDQERgEDA8NoB2A0GYyGwEgJgdGm/0iJ6UHsT+o2/ZE9iqcbMNr6Rw6oUfZoCIyGwCgY7QCMpoHREBgpITDa+h8pMT2I/Um71j/c02jdgNGmPzxkRhmjITAaAqMhgAxGZwCQQ2OUPRoCwzAERpv+wzBSh5qX6ND0Rw4SyMaA0dY/cpiMskdDYDQERkMAGYx2AJBDY5Q9GgLDKgRGm/7DKjqHpmcoavpDxvNJ9/iV0Zt9SQ+0UR2jITAaAiMKjHYARlR0j3p2pITAaNN/pMT04PYnRa1/srw22vQnK9hGNY2GwCgYcWC0AzDionzUw8M7BEab/sM7foeK734+ewl2KiOYpBMx2vqnU0CPWjMaAqMhMPTBaAdg6MfhqA9GQwAcAqNNf3AwjBIDHAKwpj/EGZBFPDTvBow2/SHBPUqOhsBoCIyGAJFgtANAZECNKhsNgcEbAoOn6c8weqfv4E0m9HAZausfbiNtuwGjrX94QI8yRkNgNARGQ4BIMNoBIDKgRpWNhsAgDYHB0/pnlxIfpGE06izahwCOpj+yxdTvBow2/ZHDd5Q9GgKjITAaAsSD0Q4A8WE1qnI0BAZXCIw2/QdXfIxg1xDR+oeHDuSITgiX/C7BaNMfEoKj5GgIjIbAaAiQB0Y7AOSF26iu0RAYyBAYbfoPZOiP2o0UAqQ0/eHaIO1+ZC5pmwRGW//wsBtljIbAaAiMhgB5YLQDQF64jeoaDYGBCYHRpv/AhPuorRghQFbTH8MUqACkS0C4GzDa9IcG2Cg1GgKjITAaApSB0Q4AZeE3qns0BOgVAoOn6T+605decT547aFq6x/uTQLdgNHWPzykRhmjITAaAqMhQCEY7QBQGICj2kdDgOYhMNr0p3kQj1pAdAjQpumPbD2WbsBo0x85gEbZoyEwGgKjIUA5GO0AUB6GoyaMhgCtQmC06U+rkB01l/QQoH3TH9lN0L3Co01/5EAZZY+GwGgIjIYAtcBoB4BaITlqzmgIUDkEBk/rf/R8TypH7RAE9G39QwLo/5Up0yGsUXI0BEZDYDQERkOAumC0A0Dd8Bw1bTQEqBACo01/KgTiqBFUCoGBaPozXJk82vSnUvyNGjMaAqMhMBoC2MBoBwBbqIyKjYbAAIXA4Gn6MzAy/f/xY4CCYdTaQRECo03/QRENo44YDYHREBgNARqA0Q4ADQJ11MjRECA9BAZT05+RTUyYkZmZdE+M6hg+ITDa+h8+cTnqk9EQGA2B0RDAAKMdAIwgGRUYDQH6hsAgavozMIwu96dv5A9G20ab/oMxVkbdNBoCoyEwGgJUBaMdAKoG56hhoyFASgiMNv1JCa1RtbAQgNyXBTktEyZGFXpAmv4MDKMr/qkSe6OGjIbAaAiMhgAJYLQDQEJgjSodDQFqhcBo059aITlMzGFkYIA36NHa95hSED/jUQZRQCI5IK3/0c2+JMbSqPLREBgNgdEQoA5g/P8fXu1Qx8RRU0ZDYDQE8IfA4Gn9jy74wR9T9JCFtOOpaBPpJfpo05+KwT9q1GgIjIbAaAgMCTA6AzAkomnUkcMkBAZP059hdLn/gKQpqjf3MX0BmTFAtgh3l2BAmv6ja34wI21UZDQERkNgNAToDEY7AHQO8FHrRmgIjDb9R2LEQ1rhkPY3hE2fUECzC9IlwLB6QFr/o2t+MOJhVGA0BEZDYDQEBgCMdgAGINBHrRxRITDa9B8p0Y3czkZugiOzByosIG6AdEUYGAak6T868D9QkT9q72gIjIbAaAhggtEOAGaYjIqMAuqEwGjTnzrhOPhNgTSvGRgY4IzB6WZGhp9PXw6I00YH/gck2EctHQ2B0RAYDQFcYLQDgCtkRsVHQ4D8EBht+pMfdoNf5yBv5eMOwAFp/Y82/XFHyKjMaAiMhsBoCAwYGO0ADFjQj1o8LENgUDX9R3f6UiGNQZr7kMUzEDYVDKW3EQPS9B9d80PvaB61bzQERkNgNASIBqMdAKKDalThaAgQCoHB0/pnl5ZgGD3hl1B8YZEfzOv4sTiXKKEBaf2PDvwTFTejikZDYDQERkNggMBoB2CAAn7U2uEVAoOn6Q8d9WdkHO0AkJbE4KP7cAZp+gej6gFp+o8O/A/GpDDqptEQGA2B0RBABaMXgaGGxyhvNARIDIFB1/Qn0f2jygf7zl2yYmi06U9WsI1qGg2B0RAYDYGRAkZnAEZKTI/6k+ohMNr0p3qQ0sNA+AD/EF/WjyesBqT1P7rmB0+MjEqNhsBoCIyGwGADox2AwRYjo+4ZAiEwqJr+0DU/QyDYBoET4a3/wX9kJ1mhNSBN/9E1P2TF1aim0RAYDYHREBhIMNoBGMjQH7V7yIXAaNN/yEUZ1MHITX+o0LCiRpv+wyo6Rz0zGgKjITAaAjQGox0AGgfwqPHDJQRGm/5DNSaHe9OfgWFgrvcaXfMzVHPEqLtHQ2A0BEYBA8NoB2A0FYyGAOEQGFStf3YpccIuHlUxTBf5oEXs6MA/WoCMckdDYDQERsFoCBADRjsAxITSqJqRGwKjTf+hGvfDfeB/tOk/VFPmqLtHQ2A0BEZDYBCA0Q7AIIiEUScMyhAYVE1/RiYmNkmx0aP9iUopw73pP1BrfkY3+xKV/EYVjYbAaAiMhsBQAKMdgKEQS6NupG8IDKqmPwMj0/+fP9kVZEZb/4RTwWjTn3AYkalidMU/mQE3qm00BEZDYDQEBiUY7QAMymgZddQAhcDgavozMIwu9yc2IYw2/YkNKZLVjTb9SQ6yUQ2jITAaAqMhMOjBaAdg0EfRqAPpEgKjTX+6BDNtLBlt/dMmXEfX/NAsXEcNHg2B0RAYDYEBBqMdgAGOgFHrBzwERpv+Ax4F5DtgtOlPftgR0Dk68E8ggEalR0NgNARGQ2Aog9EOwFCOvVG3UxwCg6r1P7rgh4T4HG36kxBYJCsdbf2THGSjGkZDYDQERkNgSIHRDsCQiq5Rx1IvBAZV059hdLk/STE72vonKbhIUTza9CcltEbVjobAaAiMhsBQBaMdgKEac6PuJjsEBlXTn01SjJFxBLRnyY4tNI0jIKiwHPDPyMDwHxYQyGyYGFXo0aY/VYJx1JDREBgNgdEQGBJgtAMwJKJp1JHUCYFB1fSHjvozMTH8+0cd7w1vU0ZC0//ZS1BDH9mn/xkYIFxIux/ORotrePcATZxo7mjrn+igGlU4GgKjITAaAsMBMP7/T3HVMRzCYdQPwzwEBmPTf5gHObW9B2n7UtvUwWPez2cvKXUMvLfAgDRjQMjQ0aY/oRAalR8NgdEQGA2BYQhGOwDDMFJHvYQcAqNNf+TQGNrsYdoHoELTH1e84h3eGW364wq2UfHREBgNgdEQGPZgdAnQsI/ikevBQdf0lxYHLfAYuRFCmc9HW/9khB9k4RA2jaOtf2yhMio2GgKjITAaAiMFjHYARkpMjzR/DrrWv5T4SIsCqvl3tOlPSVBCQg9pKmC06U9JcI7qHQ2B0RAYDYHhAUY7AMMjHkd9gQiBwdv0R2qEIZw7ysITApDGKx4FQ1OKhmt+cAUIbCpgtPWPK4RGxUdDYDQERkNgRIHRDsCIiu5h7tnB2/Qf5gFPA+8N06Y/AwM1NvuSFd6jTX+ygm1U02gIjIbAaAgMTzDaARie8TrSfDXa9B9uMQ6ZLRle3YABGPgHJ4srk6aD6VFiNARGQ2A0BEZDYDQEoGC0AwANiFFqiIbAYGv6Q0/3H6KhOXicPdr0p1JcjLb+qRSQo8aMhsBoCIyGwLACox2AYRWdI8ozo03/4Rndw6vpP5BrfkYH/odnDhn11WgIjIbAaAhQAYx2AKgQiKNG0DkERpv+dA7wUevIC4GBWvPDwMAwOvBPXpSN6hoNgdEQGA2BEQJGOwAjJKKHjzcHW+ufffR8T+omLuTrbKlrMh1NG2360zGwR60aDYHREBgNgdEQIBmMdgBIDrJRMFAhMNr0H6iQp6u9Q38J0EC1/kdH/emaUEctGw2B0RAYDYGhDEY7AEM59kaM20eb/iMiqkeb/hRE82jrn4LAG9U6GgKjITAaAiMOjHYARlyUDy0PD7am/+ghPzRJP6NNfwqCdbTpT0HgjWodDYHREBgNgREKRjsAIzTiB7+3R5v+gz+OqOPC0dY/BeE42vqnIPBGtY6GwGgIjIbAyAWjHYCRG/eD1uejTf9BGzU0cdhQ3vU7UMv9R8/5oUlSHDV0NARGQ2A0BEYMGO0AjJioHgoeHW36D4VYorYbh+YMwGjTn9rpYNS80RAYDYHREBgNAfqB0Q4A/cJ61Cb8ITDYWv+j53vijy/qyI62/kkMx9E1PyQG2Kjy0RAYDYHREBgNASxgtAOAJVBGhegcAoOt6T+605ceCWC06U9iKI82/UkMsFHloyEwGgKjITAaAjjBaAcAZ9CMStAhBEab/nQI5EFqxVBb+j+65meQJqRRZ42GwGgIjIbAaAiQDkY7AKSH2agOaoTAaNOfGqE4agadQmC09U+ngB61ZjQERkNgNARGQ4AuYLQDQJdgHrUEKQRGm/5IgTFSmUNn/c9o03+kptFRf4+GwCgYDYHhDEY7AMM5dgeb30ab/oMtRgbGPaOtfyLCfXTFPxGBNKpkNARGQ2A0BEZDgEww2gEgM+BGtZEUAoOw6c/IzMwmIcrw/z9JHhlVPEJCYHTgf4RE9Kg3R0NgNARGQ2BkAsb/ow2gkRnzdPT1YGv9s0tLjLb76Rj/2KwaxJMAo01/bBE2KjYaAqMhMBoCoyEwrMDoDMCwis7B5pnB1vSHnu/JyMAwOu4/UGllEDf9GRgYRlv/A5UuRu0dDYHREBgNgdEQoCcYnQGgZ2iPILsGadN/BMXAIPbqoOwDjDb9B3GKGXXaaAiMhsBoCIyGAJXB6AwAlQN01LjRpv9oGhhaITCATX8GBobRzb5DK7WMunY0BEZDYDQEhgcY7QAMj3gcFL4YbfoPimgY5I4YZMP/A9j6H236D/KkOuq80RAYDYHREBjGYLQDMIwjl35eG4RNf+hyf/qFwahNxIXAoLkAeLTpT1yEjaoaDYHREBgNgdEQGIZgtAMwDCOVnl4abfrTM7RH7aJKCAxg0390zQ9VYnDUkNEQGA2B0RAYDQEKwWgHgMIAHNHaB2Hrn11KfERHySD3/CBY/zOArf/RNT+DPHmOOm80BEZDYDQERg4Y7QCMnLimpk9Hm/7UDM2RYxbk9NUB6gYMYNN/dOAfFASjeDQERkNgNARGQ2DQgNEOwKCJiiHikNGm/xCJqMHqzIFo/Y82/Qdrahh112gIjIbAaAiMhsDAgNEOwMCE+1C0dTA2/Ufv9B1aKWmEtf5H1/wMreQ56trREBgNgdEQGDlgtAMwcuKafJ8OwqY/7JAfyJoS8r02qnMYh8DowP8wjtxRr42GwGgIjIbAaAhQAkY7AJSE3vDXO4ib/uDAH23/g4NhlEALgdGmP1qAjHJHQ2A0BEZDYDQERkMAGYx2AJBDY5SNCIHB3vRHuHSUNRoCKCEwgK3/0TU/KDExyhkNgdEQGA2B0RAYrGC0AzBYY2ZA3TUIW/+j53sOaIoYGpYPYNN/9JyfoZFERl05GgKjITAaAqMhAAajHQBwMIwSsBAYhE1/2HJ/mBNH6dEQwAiB0aY/RpCMCoyGwGgIjIbAaAiMhgBOMNoBwBk0I01iEDb9R0f9h1si/M/AQIODgEZb/8MtnYz6ZzQERkNgNARGQ4DGYLQDQOMAHgrGD8KmP3TUn4mR4d/oPt+hkIaIceNo05+YUBpVMxoCoyEwGgKjITAaArQHjP//jzawaB/Mg9WGwdv0H6whNuouikKAqn2AARz4H93sS1EyGNU8GgKjITAaAqMhMNBgdAZgoGNggMBo03+AAn5kW0ulJUAD2PQf3ew7slPwqO9HQ2A0BEZDYJiA0Q7AMIlIkrwxCFv/o8v9SYrBIawYMuNI7lTAaNN/CEf9qNNHQ2A0BEZDYDQEBg0Y7QAMmqigi0MGYdMfutyfLt4ftWRQhMBo639QRMOoI0ZDYDQERkNgNARGLhjtAIyUuB9t+o+UmB7k/iSr9T868D/IY3XUeaMhMBoCoyEwGgJDC4x2AIZWfJHj2tGmPzmhNqqHRiFA4jaA0aY/jeJh1NjREBgNgdEQGA2BkQyYRrLnR4LfVfz8Bps32aXER1f8D7ZIoat7/jMwQHYCELJ1tPVPKIRG5UdDYDQERkNgNARGQ4AcMHoMKDmhNrT0qPj5cchLDwY3j7b7B0MsDCI34F4ONNr0H0TRNOqU0RAYDYHREBgNgWEHRpcADbsoxeahHw+fMjAwDGA3gF1anMhBX2zOHxUbdiEw2vQfdlE66qHREBgNgdEQGA2BIQRGlwANocii1KmQbgClppCuHzzwj7vFR7qBozqGawiMDvwP15gd9ddoCIyGwGgIjIbAoAKjMwCDKjpo7pgfD5/Scx4A3PQHe2r0wmlwMIwS0BCA7AFA6hWONv2hITNKjYbAaAiMhsBoCIyGAO3BaAeA9mE8yGygTx8A0fQfZN4fdc5gC4GBbfqP3uw72NLDqHtGQ2A0BEbBaAjQAYxuAqZDIA+8FVjPAqLRVMBo03/g43vouADU+keaB6Czw69Mmk5nG0etGw2B0RAYDYHREBgNgcEARmcABkMsDIwbaDEVMNr6H5i4HIK2gpr+EGeTeDMARBOF5GjTn8IAHNU+GgKjITAaAqMhMKTBaAdgSEcfpY6nVh+AXVqCYXSVP6WxMVL0I5r+cB9jbAmAy9CCMdr6p0Wojpo5GgKjITAaAqMhMITAaAdgCEUWTZxKeR8ANOrPSOzVTjTxw6ihQycEsLT+6ej40aY/HQN71KrREBgNgdEQGA2BwQtGOwCDN27o5jLI8aBkbAkANf0hrvwHGcKFcEbJ0RDAEgID2/Qf3eyLJUpGhUZDYDQERkNgNARGKhjdBDxSYh7rPmA0zxPfB0A0/dGMGOWOhgC2ECCq9U+z3cCjA//Y4mRUbDQERkNgNARGQ2DkgtEZgJEb95g+J2Y50GjTHzPcRkXwhABRTX88+imTGm36UxZ+o7pHQ2A0BEZDYDQEhicYvQl4eMYr2b6CLAfCpX209Y8rZEbFMUPg57OXo61/zGAZFRkNgdEQGA2B0RAYDYEBB6MzAAMeBYPOAZA+APJyIDZJMUZGmq3PGHQBMOogKoQAOU1/+EYSitPa6MA/FaJw1IjREBgNgdEQGA2B4QtGZwCGb9xS5jNIN4CBgYFdSpyRmZkyw0Z1j6AQGB34H0GRPerV0RAYDYHREBgNgaEJRmcAhma80cXV/3//gc4D/PtHFwtHLRnaIUDOqD9VfTw68D8KRkNgNARGQ2A0BEZDgBgwegoQMaE0TNQQcxAQxKvIa/2hfQCIxCg5GgI4QoCarX/SlwCNNv1xRMuo8GgIjIbAaAiMhsBoCGABo0uAsATKCBdCbv0zMDDA1wKN8GAZ9T6uEBhd84MrZEbFR0NgNARGQ2A0BEZDYHCC0SVAgzNeBsZVaE1/uCMgfYDRqQB4gIwyICFAzVF/iIkkkqMD/yQG2Kjy0RAYDYHREBgNgdEQAIHRDgAoFEYxrqY/csgQc0sAsvpR9vAOgYFt/Y82/Yd36hr13WgIjIbAaAiMhgBNwWgHgKbBOwQMJ6bpD/fGaB8AHhQjmTGwTX8GBobR1v9ITn6jfh8NgdEQGA2B0RCgHIxuAqY8DIeSCcj7gElq+iN7cnQtEHJojCg2nZr+uDcBjzb9R1R6G/XsaAiMhsBoCIyGAI3A6CZgGgXsYDeW7NY/ZFswZFfAYPfkqPuoGgJ0av3jdvNo6x932IzKjIbAaAiMhsBoCIyGAAlgdAkQCYE1PJRS0vRHDoHR5UDIoTFs2YwM/37+/v3mHV09+J+BgZGBAUKCLR5t+oODYZQYDYHREBgNgdEQGA0B6oDRJUDUCcchZIp2RioVXTu6HIiKgTkIjfr/5++vV2/o7TBI658B1A0YbfrTO/BH7RsNgdEQGA2B0RAYAWC0AzACIhnDi6N9AIwgGRXAEgIDvOaHcXSzL5ZIGRUaDYHREBgNgdEQGA0BysFoB2CEAur2ARgYGEanAoZTShrgpj8Dw5XJ04dTeI76ZTQERkNgNARGQ2A0BAYVGN0EPKiig36OuTpjNnUtG90WTN3wHEDTRlv/Axj4o1aPhsBoCIyGwGgIjIYAHcDoDAAdAnlQW0HdqYDReYBBHdmEHDfa9CcUQqPyoyEwGgKjITAaAqMhMBzAaAdgOMQihX4Y7QNQGIDDQPto038YROKoF0ZDYDQERkNgNARGQ4BIMNoBIDKghrky6vYBRrcEDK3kMtr6H1rxNera0RAYDYHREBgNgdEQoBCMdgAoDMDho320DzB84pJon4w2/YkOqlGFoyEwGgKjITAaAqMhMHzAaAdg+MQl5T4Z7QNQHoZDxYTRpv9QialRd46GwGgIjIbAaAiMhgDVwWgHgOpBOuQNpG43YHRb8CBMEKOt/0EYKaNOGg2B0RAYDYHREBgNAbqB0Q4A3YJ6KFk02gcYSrFFiltHm/6khNao2tEQGA2B0RAYDYHREBieYLQDMDzjlXJfUbcPMLotmPIYodCEAW/6M4xe70VhFI5qHw2B0RAYDYHREBgNASqB0Q4AlQJyOBoz2gcYNrE64K3/0Zt9h01aGvXIaAiMhsAoGA2BYQBGOwDDIBJp6IXRPgANA5cuRo82/ekSzKOWjIbAaAiMhsBoCIyGwFACox2AoRRbA+VW6nYDRrcF0yceB7zpP7rmhz4RPWrLaAiMhsBoCIyGwGgIkApGOwCkhtgIVU/dPsDolgBaJ6MBb/2PrvmhdRSPmj8aAqMhMBoCoyEwGgJkg9EOANlBN+I0jvYBhkSUD3jTf3Tgf0ikk1FHjobAaAiMhsBoCIxkMNoBGMmxT7LfR/sAJAcZHTWMNv3pGNijVo2GwGgIjIbAaAiMhsAQBqMdgCEceQPldOp2A0a3BFAlHge89T+65ocq8ThqyGgIjIbAaAiMhsBoCNABjHYA6BDIw9AK6vYBRrcEUJJEBrzpP7rmh5LoG9U7GgKjITAaAqMhMBoC9AejHQD6h/kwsXG0DzDgETna9B/wKBh1wGgIjIbAaAiMhsBoCAxFwDQUHT3q5sEQAldnzKauM348fEpdA4e3aaOt/+Edv6O+Gw2B0RAYDYHREBgNAdqB0RkA2oXtiDB5dB6A/tE82vSnf5iP2jgaAqMhMBoCoyEwGgLDCYx2AIZTbA6YX0a7AfQJ+tGmP33CeRSMhsBoCIyGwGgIjIbA8AajS4CGd/zSyXejy4HoENCjrX86BPKoFaMhMBoCoyEwGgKjITASwOgMwEiIZTr5cXQegEYBPdr0p1HAjho7GgKjITAaAqMhMBoCIxOMdgBGZrzTytejfQCqh+yAt/5HD/inepyOGjgaAqMhMBoCoyEwGgIDC0Y7AAMb/sPQdqr3AUbiLQFMTH8/ffnz6fOAp4/R1v+AR8GoA0ZDYDQERkNgNARGQ4DqYLQDQPUgHTUQFAJU7waMqAuD//358/vVW1A4DhwebfoPXNiP2jwaAqMhMBoCoyEwGgK0BaMdANqG70g2fbQPQF7sD/ian9GbfcmLuFFdoyEwGgKjITAaAqMhMFTAaAdgqMTUkHTnaB+ApGgbbfqTFFyjikdDYDQERkNgNARGQ2A0BMgDox0A8sJtVBexITDaByAipP7///f/14vXRKikoZLRNT80DNxRo0dDYDQERkNgNARGQ2AwgdEOwGCKjeHrltFuAJ64HR34xxM4o1KjITAaAqMhMBoCoyEwGgJUB6MdAKoH6aiB2ENgtA+AHC7///1jZGIabfojh8koezQERkNgNARGQ2A0BEZDgD5gtAMwCugXAqN9AHhY///z59dAn/MzutkXHh2jjNEQGA2B0RAYDYHREBhRYLQDMKKie+A9O9oHYGBgGB34H/iEOOqC0RAYDYHREBgNgdEQGMFgtAMwgiN/gLxO9T7AELopbLTpP0CJbtTa0RAYDYHREBgNgdEQGA0BBBjtACDCYpRFzxCgejdgkN8UNhia/qNrfuiZwkftGg2B0RAYDYHREBgNgUELRjsAgzZqhr/DRk4fYDC0/kdP+Rz+OWrUh6MhMBoCoyEwGgKjIUAcGO0AEBdOo6poEwLDvg8wGJr+owP/tEm8o6aOhsBoCIyGwGgIjIbAUAWjHYChGnPDxt1U7wMMki0Bo03/YZNERz0yGgKjITAaAqMhMBoCwwyMdgCGWYQOSe8Mvz7AYGj9j675GZKZYdTRoyEwGgKjITAaAqMhQHsw2gGgfRiP2kBcCFC9GzAg24IHQ9N/dM0PcSluVNVoCIyGwGgIjIbAaAiMUDDaARihET84vT2k+wCjTf/BmahGXTUaAqMhMBoCoyEwGgKjIYAGRjsAaAEyyh3gEKB6H4A+WwIGQ+t/dM3PAKfdUetHQ2A0BEZDYBSMhsAQAaMdgCESUSPJmUOrDzAYmv6ja35GUv4Y9etoCIyGwGgIjIbAaAhQCkY7AJSG4Kh+GoUA1bsBtNgSMBha/6MD/zRKgaPGjobAaAiMhsBoCIyGwHAFox2A4Rqzw8Ffg7kPMBia/qMD/8MhlY/6YTQERkNgNARGQ2A0BOgORjsAdA/yUQtJCYFB2AcYbfqTEoGjakdDYDQERkNgNARGQ2A0BAYdGO0ADLooGXUQWghQvQ9AybbgwdD6H13zg5ZCRrmjITAaAqMhMBoCoyEwGgIkgdEOAEnBNap4YEJgMPQBBkPTf3TNz8Ckv1FbR0NgNARGQ2A0BEZDYHiB0Q7A8IrPYe0bqncDiNwWPNr0H9bJatRzoyEwGgKjITAaAqMhMOIA04jz8aiHh2wIXJ0xm7pu//HwKUEDR1v/BINoVMFoCIyGwGgIjIbAaAiMhsDQAqMzAEMrvkZdy0D1eQBcWwJGm/6jqW00BEZDYDQERkNgNARGQ2BYgtEOwLCM1mHuKVr3AUab/sM8AY16bzQERkNgNARGQ2A0BEY2GF0CNLLjf2j6nuprgRgYGODLgUZb/0MzUYyC0RAYDYHREBgNgdEQGA0BYsHoDACxITWqbhCGANWnAhhZWQbcm6OnfA54FIw6YDQERkNgNARGQ2A0BIY3GO0ADO/4Hf6+o24fYGA7AKNN/+GfXkd9OBoCoyEwGgKjITAaAoMAjC4BGgSRMOoECkKAFsuBKHAO+VpHW//kh92oztEQGA2B0RAYDYHREBgNAVLA6AwAKaE1qnawhgC15gEGZAZgtOk/WJPVqLtGQ2A0BEZDYDQERkNgeILRDsDwjNeR6SvKuwH07wCMtv5HZlod9fVoCIyGwGgIjIbAaAgMIBjtAAxg4I9aTf0QGEJ9gNGmP/Wjf9TE0RAYDYHREBgNgdEQGA0BIsBoB4CIQBpVMqRCgMI+AB0mAUab/kMqQY06djQERkNgNARGQ2A0BIYbGN0EPNxidNQ/g3xb8GjrfzSJjobAaAiMhsBoCIyGwGgIDCwYnQEY2PAftZ1WIUD2PADtZgBGm/60iuxRc0dDYDQERkNgNARGQ2A0BEgBox0AUkJrVO1QCwEyugE06gCMtv6HWtoZde9oCIyGwGgIjIbAaAgMWzDaARgFwzwESO0DUL0DMNr0H+YpbNR7oyEwGgKjITAaAqMhMNTAaAdgqMXYqHtJDwGS+gBU7ACMNv1Jj6tRHaMhMBoCoyEwGgKjITAaAjQHo5uAaR7EoxYMeAiQtC34/+8/VHHwaOufKsE4ashoCIyGwGgIjIbAaAiMhgDVwegMANWDdNTAQRoCxM8DUDgJMNr0H6QpYNRZoyEwGgKjITAaAqMhMBoCYDDaAQAHwygxYkKAmG4AJR2A0db/iElKox4dDYHREBgNgdEQGA2BoQpGOwBDNeZG3U12CBDsA5DXARht+pMdI6MaR0NgNARGQ2A0BEZDYDQE6AlGOwD0DO1RuwZLCODvA5DaARht+g+WeB11x2gIjIbAaAiMhsBoCIyGABFgdBMwEYE0qmTYhQBJ24Lx+3609Y8/fEZlR0NgNARGQ2A0BEZDYDQEBhsYnQEYbDEy6h66hgDWqQAiZwBGm/50japRy0ZDYDQERkNgNARGQ2A0BKgERjsAVArIUWOGbAhg9gEIdgBGm/5DNrZHHT4aAqMhMBoCoyEwGgKjgGF0CdBoIhjpIYC5HAj/VQCjrf+RnmJG/T8aAqMhMBoCo2A0BIY4GJ0BGOIROOp8KoUA2jwA1kmA0aY/lQJ71JjREBgNgdEQGA2B0RAYDYGBBKMzAAMZ+qN2D54QwJwHQHPbaOsfLUBGuaMhMBoCoyEwGgKjITAaAkMUjM4ADNGIG3U2rUIAMhWAPAMw2vSnVViPmjsaAqMhMBoCoyEwGgKjITAQYLQDMBChPmrn4A4B7YxUSAdgtOk/uCNq1HWjITAaAqMhMBoCoyEwGgLkgNElQOSE2qie4R0CkOVAo63/4R3Lo74bDYHREBgNgdEQGA2BEQtGZwBGbNSPenw0BEZDYDQERkNgNARGQ2A0BEZDYCSC0RmAkRjro34eDYHREBgNgdEQGA2B0RAYDYHREBixYLQDMGKjftTjoyEwGgKjITAaAqMhMBoCoyEwGgIjEYx2AEZirI/6eTQERkNgNARGQ2A0BEZDYDQERkNgxILRDsCIjfpRj4+GwGgIjIbAaAiMhsBoCIyGwGgIjEQw2gEYibE+6ufREBgNgVEwGgKjITAaAqMhMBoCIxaMdgBGbNSPenw0BEZDYDQERkNgNARGQ2A0BEZDYCSC0Q7ASIz1UT+PhsBoCIyGwGgIjIbAaAiMhsBoCIxYMNoBGLFRP+rx0RAYDYHREBgNgdEQGA2B0RAYDYGRCEY7ACMx1kf9PBoCoyEwGgKjITAaAqMhMBoCoyEwYsFoB2DERv2ox0dDYDQERkNgNARGQ2A0BEZDYDQERiIY7QCMxFgf9fNoCIyGwGgIjIbAaAiMhsBoCIyGwIgFox2AERv1ox4fDYHREBgNgdEQGA2B0RAYDYHREBiJYLQDMBJjfdTPoyEwGgKjITAaAqMhMBoCoyEwGgIjFox2AEZs1I96fDQERkNgNARGQ2A0BEZDYDQERkNgJILRDsBIjPVRP4+GwGgIjIbAaAiMhsBoCIyGwGgIjFgw2gEYBaMhMBoCoyEwGgKjITAaAqMhMBoCoyEwgsBoB2AERfaoV0dDYDQERkNgNARGQ2A0BEZDYDQERsFoB2A0DYyGwGgIjIbAaAiMhsBoCIyGwGgIjIbACAKjHYARFNmjXh0NgdEQGA2B0RAYDYHREBgNgdEQGAWjHYDRNDAaAqMhMBoCoyEwGgKjITAaAqMhMBoCIwiMdgBGUGSPenU0BEZDYDQERkNgNARGQ2A0BEZDYBSMdgBG08BoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjCAw2gEYQZE96tXREBgNgdEQGA2B0RAYDYHREBgNgVEw2gEYTQOjITAaAqMhMBoCoyEwGgKjITAaAqMhMILAaAdgBEX2qFdHQ2A0BEZDYDQERkNgNARGQ2A0BEbBaAdgNA2MhsBoCIyGwGgIjIbAaAiMhsAoGA2BEQRGOwAjKLJHvToaAqMhMBoCoyEwGgKjITAaAqMhMApGOwCjaWA0BEZDYDQERkNgNARGQ2A0BEZDYDQERhAY7QCMoMge9epoCIyGwGgIjIbAaAiMhsBoCIyGwCgY7QCMpoHREBgNgdEQGA2B0RAYDYHREBgNgdEQGEFgtAMwgiJ71KujITAaAqMhMBoCoyEwGgKjITAaAqNgtAMwmgZGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYASB0Q7ACIrsUa+OhsBoCIyGwGgIjIbAaAiMhsBoCIyC0Q7AaBoYDYHREBgNgdEQGA2B0RAYDYHREBgNgREERjsAFEX2zJkzGWFASUmJIrNGNY+GwGgIjIbAaAiMhsBoCIyGwGgIjIYA7cFoB4CiMLaxsVmzZs3kyZMZGRmDgoIoMmtU82gIjIbAaAiMhsBoCIyGwGgIjIbAaAjQHjD+//+f9rYMcxv8/f2vX79+8eJFTk7OYe7VUe+NhsBoCIyC0RAYDYHREBgNgdEQGOKAZYi7f+Cdv3Dhwi1bthw5cmS09T/wkTHqgtEQGA2B0RAYDYHREBgNgdEQGA0BQmB0BoBQCOGVf/r0qY6OTlpaWmdnJ16Fo5KjITAaAqMhMBoCoyEwGgKjITAaAqMhMCjAaAeA5Gjo7GQoL4fq8vT0fPTo0blz59jZ2aFCo9RoCIyGwGgIjIbAaAiMhsBoCIyGwGgIDGIwugmYtMh5+JChooJh9+4fDAwMc+fO3bFjR1BQ0I4dOzZu3EiaQaOqR0NgNARGQ2A0BEZDYDQERkNgNARGQ2AgwOgeANJCfcUKiHoOBgaGZcuWMTAwtLS0MDAwyMrK+vv7Q+RGydEQGA2B0RAYDYHREBgNgdEQGA2B0RAYtGB0CRAJUfPw4Q8FBVDTn4GBYdeu966ugiRoHlU6GgKjITAaAqMhMBoCoyEwGgKjITAaAoMAjC4BIiESVqz4jqR6tPWPFBijzNEQGA2B0RAYDYHREBgNgdEQGA2BIQJGZwCIjSjw8D8DAwN0BoCB4f3//6N9AGJDb1TdaAiMhsBoCIyGwGgIjIbAaAiMhsAgAaMzAMRGBHj4H976Z2BgENy9+z2xmkfVjYbAaAiMhsBoCIyGwGgIjIbAaAiMhsDgAKMzAMTGAyPjewYGtCH/0UkAYkNvVN1oCIyGwGgIjIbAaAiMhsBoCIyGwCABozMAxIKODk40pR0daP0BNPlR7mgIjIbAaAiMhsBoCIyGwGgIjIbAaAgMOjA6A0BClDx8yLBiBegegI4OBiMjBldXEvSOKh0NgdEQGA2B0RAYDYHREBgNgdEQGA2BwQBGZwBIiAV5eVC7n4EBRI62/kkIuFGloyEwGgKjITAaAqMhMBoCoyEwGgKDBox2AAZNVIw6ZDQERkNgNARGQ2A0BEZDYDQERkNgNARoD0Y7ALQP41EbRkNgNARGQ2A0BEZDYDQERkNgNARGQ2DQgNEOwKCJilGHjIbAaAiMhsBoCIyGwGgIjIbAaAiMhgDtwWgHgPZhPGrDaAiMhsBoCIyGwGgIjIbAaAiMhsBoCAwaMNoBGDRRMeqQ0RAYDYHREBgNgdEQGA2B0RAYDYHREKA9GO0A0D6MR20YDYHREBgNgdEQGA2B0RAYDYHREBgNgUEDRjsAgyYqRh0yGgKjITAaAqMhMBoCoyEwGgKjITAaArQHox0A2ofxqA2jITAaAqMhMBoCoyEwGgKjYDQERkNg0IDRDsCgiYpRh4yGwGgIjIbAaAgMuxCIjY1lhAEuLi55eXk/P7/du3cPO4+Oemg0BEZDYCgBlqHk2FG3jobAaAiMhsBoCIyGwFALATs7u66urn///n39+vX169cbN2708vLasmWLu7v7UPPKqHtHQ2A0BIYJGO0ADJOIHPXGaAiMhsBoCIyGwOAMASEhIXNzc7jbIiMjo6KiioqKrl69ChccZYyGwGgIjIYAPcHoEiB6hvaoXaMhMBoCoyEwGgKjIcAQHBx848aNr1+/jobFaAiMhsBoCAwIGO0ADEiwj1o6GgKjITAaAqMhMHJDQFBQ8N+/fx8+fGBgYFBUVOzt7Z04caKxsfHhw4cZGBj+//8/a9YsJycnYWFhcXFxX1/fvXv3IgfW8ePHzc3NeXl5ra2tz58/D5HCKggxHKIATlZWVhoaGkK4EAUk2Q7ROEqOhsBoCAxpMNoBGNLRN+r40RAYDYHREBgNgaEXAgcPHhQUFJSWloY4feHChd3d3YGBgRoaGj9//nR0dKytrXVyclq8ePHUqVNlZWV9fHxqamogij98+ODj4yMqKjp//nxOTk4/P7/fv39jFYSoJ0iSZDtB00YVjIbAaAgMCTC6B2BIRNOoI0dDYDQERkNgNASGfAj8/v379evX69ata29vr6yshPvn5cuX165dExYWZmBgyM/Pf/bs2eXLl8XExCAKQkJCoqKi3Nzc9PX1Q0NDT58+/e7du8mTJysqKurr63d1db158+bKlSuYgpKSkhAT8JMk2Y7fqFHZ0RAYDYGhAkZnAIZKTI26czQERkNgNARGQ2BIhsCGDRsgB4GysbFJS0vX1taWlJTU19fDPRMREQFp/f/+/XvWrFmdnZ3w1j9EjY2NTWpqan9/PwMDg7y8PBMT0+zZs//+/auqqjp79mxJSUmsghC9BEmSbCdo2qiC0RAYDYEhAUZnAIZENI06cjQERkNgNARGQ2CohgDkGFAGBgYmJiZeXl4lJSU2NjZkz8jIyEC4165d+/HjR1BQEISLRgoJCTEwMKipqU2aNKmkpGTx4sVpaWklJSWcnJxYBdG04+KSZDsuQ0bFR0NgNASGFhjtAAyt+Bp17WgIjIbAaAiMhsAQCwG0Y0AxXc/EBJ2NFxUVZWBgWLJkiYqKCqYyuEh2dnZkZOSiRYv6+vpWrVp15MgRfn5+rIJsbGw/f/6Ea4Qwvnz5AmFASFJth+gaJUdDYDQEhjQY7QAM6egbdfxoCIyGwCgYDYHhEwJSUlISEhIvX76Mjo5G89X06dMha/p//PjByMgoJCRUUFAQHh6uoKCwa9cuX19fTMHQ0FApKaknT56gGXXv3j00EQiXGNshKkfJ0RAYDYGhDqCjDkPdG6PuHw2B0RAYDYHREBgNgWEQAk1NTfX19ZcvX0b2y6pVq3JyciDzA8XFxQYGBhBZHh4eFhaWjx8/YhVkYGCwsbHZsGHDmzdvIOoZGBguX768a9cuOBeNQdB2NPWj3NEQGA2BIQpGZwCGaMSNOns0BEZDYDQERkNgGIZAamrqsWPHzMzMcnJy7O3t////v379+iVLlvT391tbWzMwMISFhU2fPj01NdXb23vx4sVMTEweHh6qqqqYggwMDLm5uStWrLCxsSkoKFBSUjp37tyECRMsLCzQVgHBw5Gg7XCVo4zREBgNgSENRjsAQzr6Rh0/GgKjITAaAqMhMNxCYP78+b6+vrNnz160aBEzM7ORkdHRo0dNTU0h/rS3t1++fHlLS8uyZcu0tLS2bNkiAwaYggwMDGJiYidPniwvL584ceLz589NTEzmz59///79EydOQEzDJPHbjql+VGQ0BEZDYCgCxv///w9Fdw+Um3fvZnBzY9i1i8HVdaCcMGrvaAiMhsBoCIyGwGgIjIbAaAiMhsBoCJAPRvcAkB92ozpHQ2A0BOAhcPz4cS8vLzExMTk5ueDg4CtXrsClMBn4Fe/evdvR0VFAQEBWVjYsLOzu3buYJoyK0CcEYmNjGRkZDx48iMu6V69excfHS4JBbGzsy5cvkVX6+/tDzr+HkwsXLkRWMMqmVgjs2bPH29tbUlJSTk4uPDz82LFjeEzGn8VOnjwJj6+lS5diNefDhw/i4uLFxcVYZUcFKQkBknIN/qjEX9JS4shRvQQB/nxEUoZFtotgmYysGD97tAOAP3xGZUdDYDQECIfAkiVLbG1tJSQk5syZ09PT8+/fP2Nj440bN2LViV/xmjVrPDw8pKSk5s6d29fX9+7dOz09vWvXrmE1alSQpiGwfft2XO0/iL2/fv1ycnK6efPm9OnTp06devXqVRcXl9+/f0NkGRgYrl69WllZeQIJeHt7w2VHGdQKgRkzZri7uwsJCU2YMKGvr4+FhcXJyWnNmjVYzSeYxbS1tSExxsnJidUEBgaGmpoaFhaWhoYGXApGxckOAeJzDf6oxF/Sku28UY1EAjz5iKQMi2wdwTIZWTFh9v9RQEoI7Nr1n4Hh/65dpOgZVTsaAsM6BF69eiUoKNjU1ITsy7y8PHFx8ffv3yML/v//H7/iX79+SUtLp6WlwXX9+/fPycnJ2dkZLjLKoE8IfPr0SVZWNiUlhYGB4cCBA1gtXbFiBTc397t37yCyz549Y2FhWb9+PYT77ds3Jiam/fv3Q7ijJI1C4P379/z8/DU1Ncjml5eXCwgIfP78GVnw////JGUxHh6eJUuWoJnw////s2fPMjExrVy5ElNqVITCECA+1+CPSvwlLYWOHNVOEkDLRyRlWGSLiCmTkdUTZDMQVDGqADkEds18ysDwf8/l58iCo+zREBjJIbBs2TJOTs6fP38iB8KnT5+YmZk3bdqELPj//3/8io8fP87AwHDnzh1kXcuXL+fg4Pjz5w+y4Cib1iGQlZWlpKT09OlTPB2A+vp6HR0dZJcoKCh0dnZCRM6ePcvAwPD8+WhpCQkPWpGbN2+GnASKbMHbt28ZGBg2b96MLPj//3+SshhawwVi1L9//8zNzV1cXCDcUZK6IUB8rsEflfhLWuq6edQ0/AAtH5GUYZFNJqZMRlZPkD26BIjwJAlUxeXjDFNzXH+37d9W0flvttul5gOvQNUbVHaUGg2BkRoC165dU1ZWZmNjQw4AXl5eeXl5zKU7+BWzsrIGBATIysoiG8XBwfHjx4/Pnz8jC46yaRoCR44cmTFjxsyZM7m5ufFYJC8vf+fOnRcvXkDUPH369MmTJ9ra2hDu1atX+fn5xcXFHz169PjxY4jgKEn1EHj8+LGYmBgfHx+yyUJCQvz8/GhbMhgYGCjPYnPnzj1//nx3d/fdu3dHDxFBDnOqsInPNfijEn9JSxWnjhpCHiApw8KtILJMhqsnhjHaASAilC4fZ9i+kOEQeC+UXbSyXYEvrxYDA0Pbi22T7699/BVa+RFh0KiS0RAYhiEgJSUFGSdG9tvfv39fvHghJyeHLMjAwIBfsbGx8fr169H6Eps3b1ZUVBQQEEAzapRLoxD48eNHcnJyfHy8i4sLfivCw8Pl5OTc3d1Xrly5Zs0aLy8vExMTe3t7iK6rV68yMjKqq6vLy8vLyclJSkqO7gCGhAx1yU+fPvHy8mKayc/Pj3nYP4VZ7M2bNxUVFYyMjGZmZioqKpBdB6PdAMzAJ1uE+FyDPyrxl7RkO29UI+WApAwLsY74MhminkhytANACFw+Dmr63zsNUmcXzaBrKcstkasYPFc51ZdXa/Pna8l3Z492A0CBM4pHagjY2dl9/Phx9erVyAEwb968nz9/Qu4tQhYnSTEDA8O+ffvmz59fV1eHbMgom6Yh0NjY+PHjx56eHoK2cHFxFRQUXLp0KSIiIjQ09PLly9nZ2Tw8PBCN165d+/r1a3p6+sOHD588eVJYWJient7b2wuRHSWpGAKMjIyYpjExEVW/k5TFiouLv3//3tnZ+eDBg2fPnjU1NVVXV9fX12PaPipCXghQkmuQo5LUkpY8147qIg+QmmGJL5NJcw/BRULDTMGiRYsYGBj27Nnz////L1++6OjoeHl5/f37F4s3Lx37PyUbii4dw6Lg///9L8+4XmyCoP0vz2BVQ7xgd3c3Ozv7t2/f/v//f/HiRRYWFswVnMSbNqpyNAToFgI5OTm8vLwzZsx48eLF06dPe3p6ODg4kPfyIruEeMVnzpwREBBITExE1j7KpmkInDt3joWFZdWqVRBbPnz4gGcPwKRJkzg4OCZNmvQCDHp6etjY2KZOnQrRe/bs2SNHjkDYEHLy5MmcnJzPnj2DcEdJqoRAR0eHhoYGplEKCgoTJkzAFEcWwZ/F0NYu37x5k5GRcfHixcgmzJ8/n5WV9f79+8iCo2yyQ4DsXIMZlcSXtGS7dlQjMQAtH5GaYUkqk4lxD1zNiNsE/Pv3bzk5OW9v7////4eEhKipqX348AEeHFAGEU1/qEowNeneGkgfwPVi06Mv5O94u3XrFgMDw44dO/79+2dpaRkVFQU2fpQYDYFBFAIfP358gAQ+ffr0////P3/+NDQ0QNaLs4KBmJgY/HAYNNcTqRhSnwUFBY1u/0ULQGpxMaPy9+/fhoaGvr6+cCvwdAC+fv3Kx8fX1dUFV/z///+6ujpBQcEfP34gC8LZv379YmNjW716NVxklEF5CHR0dKipqWGaIycnh78DQDCLoTVcZs2aJSAggGbR379/ubi4sB4WhKZylEteCBCTa7BGJZElLXmuGtVFPEDLRyRlWJLKZOKdBFFJ1BQhaXMKg1s1CwtLUVHRtm3bUlJSdu3atXHjRn5+foSTLx9ngKz5YWBgsItmCKti0LVEyOJgwVcEMTAwULIiSFVVVVNTc/fu3XPmzLlz587EiRNxWDgqPBoCAxYCs2fPVkAC8+bNY2BgYGZmrq+v//jx4/Xr1w8dOvT///+enh5BQUGsriRG8blz51xdXZ2cnFasWMHMzIzVnFFBCkMAMyq7u7vv3Lkzbdo0Yky+fv36p0+f/P39kRX7+/u/f//+zp07Fy9e3L59O7IUZAeqpKTkw4cP0cRHuZSEAB8fH6SfhmbIp0+f8OycISOLPXr0SFpaGs0WJiYmSUlJzF1AaMpGucSEAHm5BldUElPSEuOqUTXUBSRlWJLKZJLdCekHjCjyy5cvQkJCjIyM6AtsSBz4xwy0R1+ew2cDJt1bQ8ZsQEVFhbKyspCQ0IoVKzDNHxUZDYFBHgL//v2zsbGxtbUlxp24FJ87d05QUDAoKOj379/EmDOqhlohYGJigqsKaWlpQbPl3r17DAwM58+fRxY/dOgQAwPDixcvFixYwMnJ+f37d2TZDx8+MDExbd++HVlwlE1hCGzatImJiQltwu3t27eMjIy7cNxZQ2QWQxu5XLJkCeRILmQHf/v2jYWFBfPAX2Q1o2wiQ4CMXENMVOIqaYl01agyCgFaPiIpw5JUJpPqzhG3BOj///+XL1/m4eFhYWF5+PAhNLwobvpDzQFTlGwMgJzs6+fnBzZplBgNgSEWAvPnz2dhYbl8+TKyuz9//rxnzx7I5hZkcayKz58/LyQkFBwcPNr6Rw4r+rAvX74MuQIWTu7evZuBgWHatGlPnjz5//8/WlTKy8tnZ2cjuy0+Pl5VVfX////v3r0TFhYuLy9Hls3Ly5OSkoIsG0MWH2VTEgJfvnzh4eGprq5GNqS+vp6Pj+/Lly+YsUZ8FkNruLx48UJAQADNourqajExMcwr/5AdM8omMgQI5hq0DEhkVGItaYl00qgyygFaPiIpwxIskylx3ojrALx9+1ZZWdnPz4+Hhyc3N/c/VZv+8JggeyrgwYMHDAwMo3dnwkNylDGEQuDdu3eioqLFxcVobr5w4QLm9V5YFV+9elVYWFhfX//48eNnUMG/f//QjB3l0iEEIGtL4DcBo0Xl3r17WVlZY2Njt27dumXLlqioKBYWlr1790IctmHDBjY2tujo6M2bN2/cuDEkJISdnX3r1q0Q2VGSiiGwbt06Nja2hISE9WCQnp7OyMg4ceJEiBXIsUZSFkNruPz//3/p0qUsLCwxMTEbN27csmVLQkICCwvL6KYOSDhThcSfa8iISqwlLVWcOmoIkQAzHxGfYTGtQCuTMRUQLzKyOgB//vxxdXXV1dX98uVLUUYaFwfH645k0Dk/2xaAegLEBxtxKsnoBmzdupWBgeHNmzfE2TCqajQEBlEIZGZmSktLf/78Gc1NyJUWXAqr4hkzZuBagoJrXyncwFEGLUIArbLBjMqLFy/6+vpKSEiIiop6enqePXsW2RmnTp3y8fEREhKSkJDw9/e/dOkSsuwom4ohsHfv3rCwMAUFBRERETc3t3Xr1sENR441krIYZsPl////p0+f9vHxkZSUFBcX9/b2Pn36NNyiUQZVQgBPriEjKrGWtFRx56ghRAKs+YjIDItpBVqZjKmAeBHGEXWFR0lJybx5806fPq387dXTTbOU6heXuRo2d00iZqcvrnYJQfHHX18k350NUebLq5WrGAxhYyW7uromTpw4uqEKa+CMCo6GwGgIjIbAaAiMhsBoCIyGwGgIUA5GQAfg2WMGKVlESMEP+YGc80PEIT8IvRSwDrw62/ZiG8SAKgkvBzFjCBtCPnz+WF4SyZEQ0VFyNARGQ2A0BEZDYDQERkNgNARGQ2A0BKgNhnkH4P2cSYK3DzOE5zMY2SDO96Rv0x8eZY+/vtjw6ujmz9cYGBh8ebUCxKxluSX2PzxVeWz+1/tvLlethqscZYyGwGgIjIbAaAiMhsBoCIyC0RAYDQEageHcAfhx9ADHpqkM/NwMbCwMWjYM989AA9EumqZrfqC24KCQuwE+nJobXp7/++P3z9efWzWjnA1scWgaFR4NgdEQGA2B0RAYDYHREBgNgdEQGA0B6oBh2wH48eQRQ28+hyg/qPXPygIKLRYW0N1e9FrzA7IRNwatCHq29d/vfwwMDP///Pvz9QeoD6Ac4Wxmj1vTqMxoCIyGwGgIjIbAaAiMhsBoCIyGwGgIUAqGZwcA2vqXEGTgYEOEkH0sg4E1gjvQrEnXVm38eIWRBXQZ8/8///7+/P352rOzWQsH2l2j9o+GAL4QcGUKBUkzMoJIBkYGMIORCcwFscEMMJcRxGUAKYAzGBBcqCxYJQPMHAYIF6IeVRCqHmICAwMDEyjjgNwAUQwnwfaDLIWrhDH+oxgOdglMCqQem8b/EGMhVkHYMC1QKUaQ29GdwcDwH2IaxEYQF8wHEyC7QBpgaiDGwsxBGAtVA9YDJhgYGf6DBSGhBLUC4R6wHEQlSBDERTcN6hGQFGjoAW41WD3UcLAJ+A2HyoJVIlwF5TJiMQciBQoHsNVYuVgF0bQwohjOANECDxYwF+o2sI9AloEF0RxJmhqQKfBYhkUBzFiQJKoDoK5CuBwcHgTUgIxBaATzoFyIRWimwXwH9QhMDUQLVBCkBmo1yDx0NUhSIJUgJQgMCWaIFggJUoNNC1glJB2BtIO5EGeABRFawFyQEgawGoipYEGIGhAJ5oLUQOIZwgWTEFkICVIAcg7EHAgJFgPlIQgXSoLSOKioAFsGNROU7yHmQEho0gArYWCCaMSmBm44EzgJwF0F1cIIMgdDzX9ItEPUQEgMNXCNoNFAJkZQ7IHUgG2BagEJgsQhXJgDUA0HFScgNRBvwlWiOYARpAxkI+j6dkaQjRC7GBkYmMBcsMb/TKD0DgofqCBUFwMjRA2ICypaIIYzM4DMAbsc7AAwlxkckkwQlaDwBKsBcUGBDNHIBFYJ1wjxF5j8DxEEORIRDiDDIVqYwYKM4GBBqAEbDvIO2GqoGrBHwL4DeweuBpxgmMGxDi8UIQwmcE0DMgeiBpyamcDxDTIHwmUAqYWpZARFPgMDE0QKpB1kLpPEbbABg5oAeWNQO5A8xx3YwiEtDG39//7D8PsPw9cfDLevkmcYjXT9+/Lrz9cff77+/P/nHyMLEws3O7+eTN/eeTSybtTY0RAYDYHREBgNgdEQGA2B0RAYDYFRAOobD8NQOH2Y48U5BlYWULv/w1cGCHr98cfXX4PKs3o8ip9vvfzx/MOvd19+vfv67+dvRmbmLex39905PqjcOeqY0RAYDYHREBgNgdEQGA2B0RAYDYHhBMCL44eTh14+Zdg3/8eXHwzadgw//nDY6P34++/7X9Dsj6Cd46DyqJOW9XpBuTuP7zGwMV24f5XhLzMTL9va9+cbf25g+PXPSWsQrVYaVOE26pjREBgNgdEQGA2B0RAYDYHREBgNAUrAsOsA/P3HUD6PAylIOBgYkLlIMgPPlJeUhRz/Dz//p5AhnoGB4fGXFwPvuFEXjIbAaAiMhsBoCIyGwGgIjIbAaAgMRzDs9gAg3/k1ZCNMlkdiyLp91OGjITAaAqMhMBoCoyEwGgKjITAaAoMaDLsOwKAO7VHHjYbAaAiMhsBoCIyGwGgIjIbAaAiMhsAAg9EOwABHwKj1oyEwGgKjITAaAqMhMBoCoyEwGgKjIUBPMNoBoGdoj9o1GgKjITAKRkNgNARGQ2A0BEZDYDQEBhiMdgAGOAJGrR8NgdEQGA2B0RAYDYHREBgNgdEQGA0BeoLRDgA9Q3vUrtEQGA2B0RAYDYHREBgNgdEQGA2B0RAYYDDaARjgCBi1fjQERkNgNARGQ2A0BEZDYDQERkNgNAToCUY7APQM7VG7RkNgNARGQ2A0BEZDYDQERkNgNARGQ2CAwWgHYIAjYNT60RAYDYHREBgNgdEQGA2B0RAYDYHREKAnGO0A0DO0R+0aDYHREBgNgdEQGA2B0RAYDYHREBgNgQEGox2AAY6AUetHQ2A0BEZDYDQERkNgNARGQ2A0BEZDgJ5gtANAz9AetWs0BEZDYDQERkNgNARGQ2A0BEZDYDQEBhiMdgAGOAJGrR8NgdEQGA2B0RAYDYHREBgNgdEQGA0BeoLRDgA9Q3vUrtEQGA2B0RAYDYHREBgNgdEQGA2B0RAYYDDaARgFoyEwGgKjITAaAqMhMBoCoyEwGgKjITCCwGgHYARF9qhXR0NgNARGQ2A0BEZDYDQERkNgNARGwWgHYDQNjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsAIAqMdgBEU2aNeHQ2B0RAYDYHREBgNgdEQGA2B0RAYBYz///8fDYXREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2BEQJGZwBGSESPenM0BEZDYDQERkNgNARGQ2A0BEZDYDQEQGC0AwAKhVE8GgKjITAaAqMhMBoCoyEwGgKjITAaAiMEjHYARkhEj3pzNARGQ2A0BEZDYDQERkNgNARGQ2A0BEBgtAMACoVRPBoCoyEwGgKjITAaAqMhMBoCoyEwGgIjBIx2AEZIRI96czQERkNgNARGQ2A0BEZDYDQERkNgNARAYLQDAAqFUTwaAqMhMBoCoyEwGgKjITAaAqNgNARGCBjtAIyQiB715mgIjIbAaAiMhsBoCIyGwGgIjIbAaAiAwGgHABQKo3g0BEZDYDQERkNgNARGQ2A0BEZDYDQERggY7QCMkIge9eZoCIyGwGgIjIbAaAiMhsBoCIyGwGgIgMBoBwAUCqN4NARGQ2A0BEZDYDQERkNgNARGQ2A0BEYIGO0AjJCIHvXmaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIDAaAcAFAqjeDQERkNgNARGQ2A0BEZDYDQERkNgNARGCBjtAIyQiB715mgIjIbAaAiMhsBoCIyGwGgIjIbAaAiAwGgHABQKo3g0BEZDYDQERkNgNARGQ2A0BEZDYDQERggY7QCMkIge9eZoCIyGwGgIjIbAaAiMhsBoCIyGwGgIgMBoBwAUCqN4NARGQ2A0BEZDYDQERkNgNARGQ2A0BEYIGO0AjJCIHvXmaAiMhsAoGA2B0RAYDYHREBgNgdEQAIHRDgAoFEbxaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIwQMNoBGCERPerN0RAYDYHREBgNgdEQGA2B0RAYDYHREACB0Q4AKBRG8WgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMEDDaARghET3qzdEQGA2B0RAYDYHREBgNgdEQGA2B0RAAgdEOACgURvFoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjBAw2gEYIRE96s3REBgNgdEQGA2B0RAYDYHREBgNgdEQAIHRDgAoFEbxaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIwQMNoBGCERPerN0RAYDYHREBgNgdEQGA2B0RAYDYHREACB0Q4AKBRG8WgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMEDDaARghET3qzdEQGA2B0RAYDYHREBgNgdEQGA2B0RAAgdEOwCgYDYHREBgNgdEQGA2B0RAYDYHREBgNgREERjsAIyiyR706GgKjITAaAqMhMBoCoyEwGgKjITAKRjsAo2lgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEYQGO0AjKDIHvXqaAiMhsBoCIyGwGgIjIbAaAiMhsAoGO0AjKaB0RAYDYHREBgNgdEQGA2B0RAYDYHREBhBYLQDMIIie9SroyEwGgKjITAaAqMhMBoCoyEwGgKjYLQDMJoGRkNgNARGQ2A0BEZDYDQERkNgNARGQ2AEgdEOwAiK7FGvjobAaAiMhsBoCIyGwGgIjIbAaAiMgtEOwGgaGA2B0RAYDYHREBgNgdEQGA2B0RAYDYERBEY7ACMoske9OhoCoyEwGgKjITAaAqMhMBoCoyEwCkY7AKNpYDQERkNgNARGQ2A0BEZDYBSMhsBoCAA2gkIAANhkb5uDNtC8AAAAAElFTkSuQmCC", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ds_pv[0].plot_volume(\"Pressure\")" ] }, { "cell_type": "markdown", "id": "b2fad07f", "metadata": {}, "source": [ "We can now explore all the data stored in the sample:" ] }, { "cell_type": "code", "execution_count": 26, "id": "82166052", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "SystemParameters(V=1.4626069901096383, Quads=[Quader(T=24.795703504009577, Pos=Position(x=0.018249944958045404, y=0.06611177279292552, z=0.0), Size=(0.1542503652893203,0.05499632681045156,0.016728866350987515)), Quader(T=72.13221452936163, Pos=Position(x=0.08315818417399129, y=0.08644018438488871, z=0.0), Size=(0.13550081561748564,0.05539239193604516,0.0010947800005462244)), Quader(T=40.687050706967995, Pos=Position(x=0.20406612028393045, y=1.0, z=0.0), Size=(0.05244352457224315,0.009513245853355834,0.005394400102415295)), Quader(T=29.463879851447047, Pos=Position(x=0.1218932063793058, 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MultiBlockValues
N Blocks:2
X Bounds:-4.337e-19, 5.000e-01
Y Bounds:0.000e+00, 1.000e-01
Z Bounds:0.000e+00, 2.000e-02
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IndexNameType
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" ], "text/plain": [ "MultiBlock (0x15da483a0)\n", " N Blocks: 2\n", " X Bounds: -4.337e-19, 5.000e-01\n", " Y Bounds: 0.000e+00, 1.000e-01\n", " Z Bounds: 0.000e+00, 2.000e-02" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds_pv[0].volume_data[0][0]" ] }, { "cell_type": "code", "execution_count": 30, "id": "265e45b9", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
HeaderData Arrays
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N Points205437
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Z Bounds0.000e+00, 2.000e-02
N Arrays10
\n", "\n", "		\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
NameFieldTypeN CompMinMax
PressureCellsfloat641-9.924e+001.036e+01
TemperatureCellsfloat6412.931e+023.449e+02
TurbulentDissipationRateCellsfloat6417.667e-091.722e+03
TurbulentKineticEnergyCellsfloat6411.000e-107.283e-01
Velocity_0Cellsfloat641-1.501e+004.269e+00
Velocity_1Cellsfloat641-2.486e+001.829e+00
Velocity_2Cellsfloat641-5.805e-013.984e+00
VolumeCellsfloat6411.368e-119.567e-09
Base/ZoneFields1nannan
ispatchFieldsint3210.000e+000.000e+00
\n", "\n", "
" ], "text/plain": [ "UnstructuredGrid (0x15da48b80)\n", " N Cells: 187194\n", " N Points: 205437\n", " X Bounds: -4.337e-19, 5.000e-01\n", " Y Bounds: 0.000e+00, 1.000e-01\n", " Z Bounds: 0.000e+00, 2.000e-02\n", " N Arrays: 10" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds_pv[0].volume_data[0][0][0]" ] }, { "cell_type": "markdown", "id": "228bd3f3", "metadata": {}, "source": [ "You can now work with these fields. For example, let us look at the average velocity in the flow in the x-direction:" ] }, { "cell_type": "code", "execution_count": 37, "id": "493d7065", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.7326225377343115" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds_pv[0].volume_data[0][0][0].cell_data[\"Velocity_0\"].mean()" ] }, { "cell_type": "markdown", "id": "fd134b9f", "metadata": {}, "source": [ "You may see this is good for exploration, but not well-suited for training a model. Therefore, in the next section, we will explore how to convert the data to a voxelized format." ] } ], "metadata": { "kernelspec": { "display_name": ".venv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.12" } }, "nbformat": 4, "nbformat_minor": 5 }