{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Access CELLxGENE-hosted embeddings\n", "\n", "This notebook demonstrates basic access to CELLxGENE-hosted embeddings of the Census. **CELLxGENE-hosted embeddings have been contributed by the community**, CELLxGENE Discover does not actively maintain or update them. Find out more about these in the [Census model page](https://cellxgene.cziscience.com/census-models). \n", "\n", "**IMPORTANT:** This tutorial requires cellxgene-census package version 1.9.1 or later.\n", "\n", "## Contents\n", "\n", "1. Background\n", "2. Quick start\n", "3. Query cells and load associated embeddings\n", "4. Load embeddings and fetch associated Census data\n", "5. Embedding metadata\n", "\n", "> ⚠️ Note that the Census RNA data includes duplicate cells present across multiple datasets. Duplicate cells can be filtered in or out using the cell metadata variable `is_primary_data` which is described in the [Census schema](https://github.com/chanzuckerberg/cellxgene-census/blob/main/docs/cellxgene_census_schema.md#repeated-data).\n", "\n", "\n", "## Background\n", "\n", "This notebook demonstrates access to CELLxGENE-hosted embeddings of the Census. The Census has multiple releases, named by a `census_version`, which normally looks like an ISO date, e.g., `2023-02-01`. A CELLxGENE-hosted embedding is a 2D sparse matrix of cell embeddings _for a given census version_, encoded as a SOMA SparseNDArray.\n", "\n", "⚠️ Note that embeddings may be available for one or both organisms, see the [Census model page](https://cellxgene.cziscience.com/census-models) for the latest availability.\n", "\n", "⚠️ **IMPORTANT:** embeddings are only meaningful in the context of the Census from which they were created. Each embedding contains a metadata field indicating the source Census, suitable for confirming embedding lineage.\n", "\n", "## Quick start\n", "\n", "The easiest way to access Census CELLxGENE-hosted embeddings is by calling the `get_anndata` function with an `obs_embeddings` or `var_embeddings` parameter.\n", "\n", "Let's start by exploring what embeddings are available:" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "scvi mus_musculus obs_embedding \n", "scvi homo_sapiens obs_embedding \n", "geneformer homo_sapiens obs_embedding \n", "scgpt homo_sapiens obs_embedding \n", "uce homo_sapiens obs_embedding \n", "uce mus_musculus obs_embedding \n", "nmf homo_sapiens obs_embedding \n", "nmf homo_sapiens var_embedding \n" ] } ], "source": [ "from cellxgene_census.experimental import get_all_available_embeddings\n", "\n", "census_version = \"2023-12-15\"\n", "\n", "for e in get_all_available_embeddings(census_version):\n", " print(f\"{e['embedding_name']:15} {e['experiment_name']:15} {e['data_type']:15}\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "These can also be viewed on the [CELLxGENE Census Models page](https://cellxgene.cziscience.com/census-models). \n", "\n", "For this example, we'll use `scgpt`. We can call `get_anndata` with the `obs_embeddings` parameter:" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import cellxgene_census\n", "from cellxgene_census.experimental import get_embedding\n", "\n", "CENSUS_VERSION = \"2023-12-15\"\n", "\n", "with cellxgene_census.open_soma(census_version=CENSUS_VERSION) as census:\n", " adata = cellxgene_census.get_anndata(\n", " census,\n", " organism=\"homo_sapiens\",\n", " measurement_name=\"RNA\",\n", " obs_value_filter=\"tissue == 'tongue'\",\n", " obs_embeddings=[\"scgpt\"],\n", " )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And now you can use these data for downstream analysis." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "AnnData object with n_obs × n_vars = 372 × 60664\n", " obs: 'soma_joinid', 'dataset_id', 'assay', 'assay_ontology_term_id', 'cell_type', 'cell_type_ontology_term_id', 'development_stage', 'development_stage_ontology_term_id', 'disease', 'disease_ontology_term_id', 'donor_id', 'is_primary_data', 'self_reported_ethnicity', 'self_reported_ethnicity_ontology_term_id', 'sex', 'sex_ontology_term_id', 'suspension_type', 'tissue', 'tissue_ontology_term_id', 'tissue_general', 'tissue_general_ontology_term_id', 'raw_sum', 'nnz', 'raw_mean_nnz', 'raw_variance_nnz', 'n_measured_vars'\n", " var: 'soma_joinid', 'feature_id', 'feature_name', 'feature_length', 'nnz', 'n_measured_obs'\n", " obsm: 'scgpt'" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "adata" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "AxisArrays with keys: scgpt" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "adata.obsm" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "⚠️ **IMPORTANT**: `get_embedding` will fill in missing values in the embedding matrix with `NaN`, therefore missing cells are represented with rows where all values are `NaN`. To learn more use `help(get_embedding)`." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Storage format\n", "\n", "Each embedding is encoded as a SOMA SparseNDArray, where:\n", "\n", "* dimension 0 (`soma_dim_0`) encodes the cell (obs) `soma_joinid` value\n", "* dimension 1 (`soma_dim_1`) encodes the embedding feature, and is in the range [0, N) where N is the number of featues in the embedding\n", "* data (`soma_data`) is float32\n", "\n", "⚠️ **IMPORTANT:** CELLxGENE-hosted embeddings may embed a subset of the cells in any given Census version. If a cell has an embedding, it will be explicitly stored in the sparse array, _even if the embedding value is zero_. In other words, missing array values values imply that the cell was not embedded, whereas zero valued embeddings are explicitly stored. Put another way, the `nnz` of the embedding array indicate the number of embedded cells, not the number of non-zero values.\n", "\n", "The first axis of the embedding array will have the same shape as the corresponding `obs` DataFrame for the Census build and experiment. The second axis of the embedding will have a shape (0, N) where N is the number of features in the embedding.\n", "\n", "Embedding values, while stored as a float32, are precision reduced. Currently they are equivalent to a bfloat16, i.e., have 8 bits of exponent and 7 bits of mantissa.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Query cells and load associated embeddings\n", "\n", "This section demonstrates two methods to query cells from the Census by `obs` metadata, and then fetch CELLxGENE-hosted embeddings associated with each cell.\n", "\n", "1. Load an embedding into an AnnData `obsm` slot\n", "2. Load an embedding into a dense NumPy array\n", "\n", "Let's first do a few imports and utility functions used throughout this notebook." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "# A few imports and utility functions used throughout this notebook\n", "\n", "\n", "import warnings\n", "\n", "import cellxgene_census\n", "import numpy as np\n", "import scanpy\n", "import tiledbsoma as soma\n", "from cellxgene_census.experimental import get_embedding_metadata\n", "\n", "warnings.filterwarnings(\"ignore\")\n", "\n", "# The Census version to utilize\n", "CENSUS_VERSION = \"2023-12-15\"\n", "EXPERIMENT_NAME = \"homo_sapiens\"\n", "MEASUREMENT_NAME = \"RNA\"\n", "\n", "# The location of the embedding. See \n", "# for available CELLxGENE-hosted embeddings.\n", "EMBEDDING_URI = \"s3://cellxgene-contrib-public/contrib/cell-census/soma/2023-12-15/CxG-contrib-1/\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Load an embedding into an AnnData `obsm` slot\n", "\n", "There are two main ways to load hosted embeddings into an AnnData.\n", "\n", "1. Via `cellxgene_census.get_anndata()`, followed by merging embeddings.\n", "2. With a lazy query via `ExperimentAxisQuery`, followed by merging embeddings.\n", "\n", "\n", "#### AnnData embeddings via cellxgene_census.get_anndata()\n", "\n", "This is the simplest way of getting the embeddings. In this example we create an AnnData for all \"central nervous system\" cells, and use the `obs_embeddings` parameter to add scGPT embeddings to the `obsm` slot.\n" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "with cellxgene_census.open_soma(census_version=CENSUS_VERSION) as census:\n", " adata = cellxgene_census.get_anndata(\n", " census,\n", " organism=EXPERIMENT_NAME,\n", " measurement_name=MEASUREMENT_NAME,\n", " obs_value_filter=\"tissue_general == 'central nervous system'\",\n", " column_names={\"obs\": [\"cell_type\", \"soma_joinid\"]},\n", " obs_embeddings=[\"scgpt\"],\n", " )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "⚠️ **IMPORTANT**: `get_embedding` will fill in missing values in the embedding matrix with `NaN`, therefore missing cells are represented with rows where all values are `NaN`. To learn more use `help(get_embedding)`." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Then we can take a quick look at the embeddings in a 2D scatter plot via UMAP." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAABRUAAAGvCAYAAADFZjJzAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/H5lhTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd3hUZdrH8e/0mSST3ntCEkLovQtWFHvDgmvXteu6irq79rbq2lZXV9e2KnZRsSGooHTpLaGFhPReZjK9nPePB6O8YGEFAnJ/rosrJHPmnOecsGb5cd/PrdM0TUMIIYQQQgghhBBCCCF+JX1PL0AIIYQQQgghhBBCCHFwkVBRCCGEEEIIIYQQQgixRyRUFEIIIYQQQgghhBBC7BEJFYUQQgghhBBCCCGEEHtEQkUhhBBCCCGEEEIIIcQekVBRCCGEEEIIIYQQQgixRyRUFEIIIYQQQgghhBBC7BEJFYUQQgghhBBCCCGEEHtEQkUhhBBCCCGEEEIIIcQekVBRCCGEEEIIIYQQQgixRyRUFEL8JmvXruWiiy4iLy8Pq9VKVFQUgwYNYtq0aWzbtm2nYy+88EJ0Ol33r+joaAYOHMijjz6Kz+ejsrJyp9d/7ldlZWXP3LAQQgghhBBCCCEw9vQChBAHr//85z9ceeWVJCYmMnXqVIqLiwkGg6xfv55XX32VJ554Ao/Hg8Fg6H6PxWLhhRdeAKCjo4P333+fm266iWXLlvHiiy/y2muv7XSNRx99lJqaGh5//PGdvp6UlLTvb1AIIYQQQgghhBC7pdM0TevpRQghDj6LFi3isMMOY+zYsXzyySfY7fadXvd6vdx///3cdddd3aHihRdeyHvvvUdXV1f3ceFwmJEjR7J8+XJqa2tJT0/f6TwnnHAC69evl8pEIYQQQgghhBDiACLtz0IcgpxOJzfccAO5ublYLBaSk5M5+uijWblyZfcxS5cuZfLkycTFxREZGcmAAQN48sknu1+/++670el0TJ8+fZdAEcBqtXLvvffuVKW4O3q9nokTJwJIcCiEEEIIIYQQQhwkpP1ZiEPQFVdcwXvvvcc111xDSUkJra2tLFiwgLKyMoYMGcKcOXM44YQTSEtL4/rrryc1NZWysjI++eQTrr/+etxuN19//TUTJ04kMzPzN6+nvLwcgISEhN98LiGEEEIIIYQQQux7EioKcQj69NNPueyyy3j00Ue7vzZt2jQAQqEQf/zjH0lLS2P16tXExsZ2H/P9bglbt24lGAzSr1+/Xc7d1tZGOBzu/jw6Ohqz2bzTMS0tLQB0dnbyzjvv8OGHHzJgwAB69+691+5RCCGEEEIIIYQQ+46EikIcgmJjY1m6dCl1dXW77GG4atUqKioqePzxx3cKFAF0Oh0ADocDgKioqF3OnZ+fT2dnZ/fn7777LmeccUb35y6Xa5chK2PGjNllQIsQQgghhBBCCCEOXBIqCnEIevjhh7ngggvIyspi6NChTJ48mfPPP5/8/PzuVuTdVSF+7/s9FH88cOV7H330EYFAgDVr1nDTTTft8rrVauXjjz8G1CTovLy8vdJCLYQQQgghhBBCiP1HQkUhDkFTpkxh/PjxfPDBB8yePZtHHnmEhx56iBkzZvyq9xcUFGA0Glm/fv0ur02YMAEAo3H3/3kxGAwcddRR//vihRBCCCGEEEII0eNk+rMQh6i0tDSuuuoqPvzwQyoqKkhISOD++++nV69eALsNDL8XGRnJxIkT+eabb6itrd1fSxZCCCGEEEIIIcQBQkJFIQ4xoVBopz0PAZKTk0lPT8fn8zFkyBDy8vJ44okn6Ojo2Om47we1ANxxxx2EQiHOO++83bZB//hYIYQQQgghhBBC/L5I+7MQhxin00lmZiZnnHEGAwcOJCoqii+//JJly5bx6KOPotfrefbZZznxxBMZNGgQF110EWlpaWzcuJENGzbwxRdfADB+/Hiefvpprr32WgoLC5k6dSrFxcX4/X42b97M9OnTMZvNpKam9vAdCyGEEEIIIYQQYm+TUFGIQ0xERARXXXUVs2fPZsaMGYTDYQoKCnjmmWe48sorAZg0aRJz587l7rvv5tFHHyUcDtOrVy8uu+yync515ZVXMnr0aB5//HHeffddGhoaMJlM9OrViwsuuIArr7yyu51aCCGEEEIIIYQQvx86TXoUhRBCCCGEEEIIIYQQe0D2VBRCCCGEEEIIIYQQQuwRCRWFEEIIIYQQQgghhBB7REJFIYQQQgghhBBCCCHEHpFQUQghhBBCCCGEEEIIsUckVBRCCCGEEEIIIYQQQuwRCRWFEEIIIYQQQgghhBB7xNgTFw2Hw9TV1WG329HpdD2xBCGEEELsIU3TcDqdpKeno9fLv0sKIYQQQghxKOuRULGuro6srKyeuLQQQgghfqPq6moyMzN7ehlCCCGEEEKIHtQjoaLdbgfUX0qio6N7YglCCCGE2EMOh4OsrKzun+NCCCGEEEKIQ1ePhIrftzxHR0dLqCiEEEIcZGTrEiGEEEIIIYRsiCSEEEIIIYQQQgghhNgjEioKIYQQQgghhBBCCCH2iISKQgghhBBCCCGEEEKIPSKhohBCCCGEEEIIIYQQYo9IqCiEEEIIIYQQQgghhNgjEioKIYQQQgghhBBCCCH2iISKQgghhBBCCCGEEEKIPSKhohBCCCGEEEIIIYQQYo9IqCiEEEIIIYQQQgghhNgjEioKIYQQQgghhBBCCCH2iISKQgghhBBCCCGEEEKIPSKhohBCCCGEEEIIIYQQYo9IqHgI0jStp5cghBBCCCGEEEIIIQ5iEioeQi5evZX0uauZvGJLTy9FiD3m9ASpaHSjaZoE40IIIYQQQgghRA8z9vQCxP4xv83JZ+1dALQHAvjDYcx6yZTFwcEXCFPb6qGyyUNjhw+3L8zh/ePR6XQ9vTQhhBBCCCGEEOKQJKnSIWJYTCQPF2ZwTFwkHYEQMxrbe3pJQvxqG6qcbGvw4PFr1Lf76fIEaXP6e3pZQgghhBBCCCHEIUsqFQ8RNoOe8zOTOD8zifZAkBijoaeXJMRPUi3OsKK8E48/RHKsGV/wh5bnkAYryzsZ3CuWxGhzD65UCCGEEEIIIYQ4NEmoeAiKM8m3XRyYNE3D6QnR2OGjrs2HNxDC7QvT6gzucqwvqFHZ5JFQUQghhBBCCCGE6AHS/iwOaRXNXfzxteWsreno6aUIoMUZYO66VqIjjLR1BTAb9RSlWdHvZutETYNhBTH7f5FCCCGEEEIIIYSQSkVx6Hrgkw08v6ASgLOGZ/XsYgQAW+tcJNqNbKpxkZ1kpbHDT7MjSFgDAxD60bHBMHgDIZo7/djMehKjLT21bCGEEEIIIYQQ4pAjlYrikPTgx6XdgeLIvDiOKE7p2QUJANLjrbS7gnS6A4BGhEVPu0u1PptNYNDDoFw7VpOOvGQbX6xsYdU2BwvLOvD4Qz9/ciGEEEIIIYQQQuw1EiqK373qNjfH/3M+Xb4f9uV7bmEFAPecWMLbfxzTU0sT/09Oso3C9EjsNiPVzT46dgSKBh14gxAKQ2yUkeOGJhMbZSQ93gzoOGJAPDazDB8SQgghhBBCCCH2F2l/Fr97SXYLo3sl0Ojw8vzKGp6eV45RD8Nz4zl/bF5PL0/8P70zothY40IDdBrERRopzozE5QuxoaoLhzuI2xdmU62L9DgLQ3tZibLKf8qEEEIIIYQQQoj9Sf4mLn73rCYDte0ezn5uMc1dfgCO6pPM8+cP7+GViZ9SnBmJyxPCHwrRsXQFnhnfsf7YSzl+WBI1rT78wTAjCmNZtLGdXmmR6HS7meQihBBCCCGEEEKIfUban8UhYWLvpO5A8axhmRIoHuB6Z0QxpCCGCIsRW3U57hnvMThFh9Ggx2zUsbbSyTcb2hheGEOERdqehRBCCCGEEEKI/U1CRfG7FwyF2dbcxX0n9UWvgyirqaeXJH6FVqcfo16Hd/LptL/5FXEp8bi8ITx+NQ06yqLDbpNiayGEEEIIIYQQoifI38jF71Y4rFHb4cHtD/LakiomFiVht5q4/LD8nl6a+BX8gTA6nY7xJfF4/CHsNiNfrGpGC2sAZCTaZDiLEEIIIYQQQgjRQ6RSUfxu3fdpKUc/No8/vb0atz/EyYPS6ZNm55VFlT29NPErpMVb6ZMVRWOHjy11bgCGFcRgMOhJijbi8oZ7eIVCCCGEEEIIIcShSyoVxe/SZ+vqeXlRJUa9jtJ6JyPz4llS0ca4gkSumljQ08sTeyAvJYK8lAgA7G31jA23YiwahKb18MKEEEIIIYQQQohDmISK4nfpy7JGkqMsNDp96IETBqbxh1G5Pb0s8Rt1zV+Ad9060ocM6emlCCGEEEIIIYQQhzQJFcXvTqc7wBcbGnD7QgDcdEwRKXYLmqah0+l6eHXit4g/b2pPL0EIIYQQQgghhBDInorid0inh6QoC1EWA2kxVh6evZmb3l1Lc5evp5cm9gJfRQXNzzzT08sQQgghhBBCCCEOaVKpKH53osxGStKjcXYFeeWiEfgJy5Tg3xHN4yHY0NjTyxBCCCGEEEIIIQ5pUqkofndc/iDrajqpKw2y7CFNAsXfGWtJCWn33N3TyxBCCCGEEEIIIQ5pUqkofndMBh3+UBiPzUPhpSEkOxdCCCGEEEIIIYTYuyRtEb877yyvprHTR3ZzPB8uqevp5QghhBBCCCGEEEL87kioKH53Th6YyaDsGMrimnl2/eaeXo4QQgghhBBCCCHE746EiuJ3JybChF6nw2MM0uLyM+qBObh8wZ5elhBCCCGEEEIIIcTvhoSK4nfHGwihR+v+vMnpx2qSYS1CCCGEEEIIIYQQe4uEiuJ3JxAKU9Ph7f7cbjXi8kulohBCCCGEEEIIIcTeIqGi+N2xW018M+1wbjqmkILkSAZnx9HllVBRCCGEEEIIIYQQYm/RaZqm/fJhe5fD4SAmJobOzk6io6P39+WFEEII8T+Qn99CCCGEEEKI70mlohBCCCGEEEIIIYQQYo9IqCiEEEIIIYQQQgghhNgjEioeRDRNY0G7s6eXIYQQQgghhBBCCCEOcRIqHkQa/AH+sHYbM5va+bS5g65gqKeXJPaDDrefFZXtvL+ihh7YAlUIIYQQQgghhBBiF8aeXoD49Z7e3oRFp+PGsu0kWsykl+QyODqip5cl9qF/zd3KI19sAiAuwsSkfqlEWeR/tkIIIYQQQgghhOhZUql4EDk6IRpvOExXGGq9fooiLHv1/Oucbra5vEz8biPbPb69em7xv8mItWE26hnXK4FPrxsvgaIQQgghhBBCCCEOCJJQHEQmJkRzemo80+vbCGlw3tpyPhhStNfO/0hFA0U2CxtdXp6rbKA9FGJoTBR1vgBT0xPoFWHda9cSv058pJk3LxvJkm1tpMfaeno5QgghhBBCCCGEEICEigedR4uzafAF+KrNyeJON2/UNnNuRtJvPu8nTR0ENI3vHC4AXmpoB+CDZgcJRgN1Pj//7pv3m68jdlXf6SEtRgWGLV0+zv3PEk4dnEmn18+/523j65smcPXhBbS7/MRFmnt4tUIIIYQQQgghhBDS/nxQ+bS5A384zD2FGWRbTViBr9u79sq5O4JBuoJBljvcu7zWHgyxzunZK9cRO2vp8jHmwa+palVhrsWoJzMuAk8gyNbGLiYUJVHe1EX/O2cx+N45fLGhvodXvHthZyOVy/9FxUtjoGJ+Ty9HCCGEEEIIIYQQ+5hUKh4kXMEQd26tpTjSyoL2LpLNJjoCISYlRLPa4WbQbxjY8n5DG580dbLMoYLD+wrSCYY17tqmAqwzU+K4vyhzr9yHgHBY44kvN3Py4AzCYQ2TUUdzl483l1VzeO9kXrpwOKFQmElPfEuLy0/ZjE68wTBGvY6XF1YyqW9aT9/CTmpW/ZuMj24lB40OezyYZHiQEEIIIYQQQgjxeyeVigeJSKOB5aP7kmgyckFGIp8MLeL+wkxmNndyyqotOIOh//ncJVE2zkuP59iEaCJ00NceQZnLC0CK2cjfe2dx1PJNbNrxNfHbrK7u4F9zy/luWxs3vbuGqSNyGJoTT6zNRJPDyxNfbuam99bgCYT56/F9yIiPwGbSU5AcyR8P69XTy9+JY9FjpM+8jbbYFJzpg4lKGwYpfXt6WUIIIYQQQgghhNjHpFLxIOIJhem/cAOfDC1kgD2CM9PiGRMXhVmvw240/M/n7RNlo9zt4/yMRJ4qyWHY4lLCmsb0AXmURNqwGfT8JT+dHKvs5/dblNU7uPndNQzLjWdi7ySOLEnmrWVVxEep5/rHCb1YV9PJyqoOFm9twWjQc9fMDXgDIRIjzViMBg4vTu7hu1DC4RDuZ4djbd2OY8g5JJzwL9DpenpZQgghhBBCCCGE2E8kVDxABMMaHze10+APMiYuCm8ozGt1rTxYlNkdGNoMer4e0ZteNgunrNxCltVMjc/PhDg7N+SmAuAPhzHr96wANaxpbHZ5SbOaWOlwk2QyUO7xUxBhJW1HkHhScuxevd9DyeZGJ1e+voLKFjdWk46S9GhevHA4APef2p9/frW5+9j+mTH0z4zh/ZXVdDr9WE16CpOj2NjQRW5iZE/dwk6cLaX461YQ17yN+oEnky6BYs+oXgTR2eCogaxRPb0aIYQQQgghhBCHGGl/PkCcvaacK8uqeKe+lfu21nHm6q04gyH0P8pq/rihkgZfAE9YY0KcHVc4zDmp8VyRparXwppG3wXrWdbp2qNrz25x8HJtC9FGA1lWM2Pj7Nyan0qOzbI3b/GQ1O7yc+wT3xIIhjHowWQ08Pn6hu7XS9KiWbi1lWWVbd1fe2VhBdE2E0Y9rLz9aGZcNZb0GCsj8xIIhMI9cRvd3Ftno71yPOF596M/7z0yTn4ZnQSK+1ZTGdQs/eHz9kpoWg/NG2H5s7DpI+ioVK9pYWguA01Tnzvqfvj9rxH0grPuh99XfqPOKYQQQgghhBBC/D86TduTv3HuHQ6Hg5iYGDo7O4mOjt7flz8gLe/o4uGKOpY5PCSYDLhCGscnxTAtL42bN1fjDATJt1nJspmp8PiY396FEY1af5D/lORy3I5KwjVON30jbRj1vz7oCWsa564pZ63TQ4rZhCcc5r3Bvci0Hhyhoi8Y4svSRo4oTsFm/t/bwPemBz4rIy3GSm5CJAMyYwiFNRZsaSHGZqK6w01BchQLt7Zyy7HFbGl00ispCr1exwvzy/l0XQMDMmP4fF0Dw3LiWFvbiQFoc/t54YLhjMxP6JF7an3vfOLXf0RXZDyhS78gNq6oR9bxu1b5LWQM23nYzXfPgKMaxt8GQR8sfhwiEmDMn2HbV9C4Fsx2yBwF7jbYNhtGXA3WWPj2fiiYBGlDwNMGnlZIHbTzNcNhqJwL/i6IzoSNH0FMNnTVQ8AN/aZCSgno5N+ghPz8FkIIIYQQQvxA2p972OyWTsbH2cmyWYgzmQhrHlyhMAadHk3TGLq4lNNTYtnQ5WFUrJ1ZzR2s6vKiAwZHWWkPhrEa9Mxvc5JtMzPQvmeTd9+qb8URDJFpNbO804XdqKfc4WWNw31Ah4odbj/vr6zhknH5jHnwS9rdQZ44axAnDcro6aUB8PGaOoblxBJtNWE1GTj3P0vIS4jkwzV1GHRwRJ9k+qTaGXT3bA4rSkIDTHodXb4g/kCYPx1VxJHFyby/oobEKAtvXz6KbS0usuN7ZrKys2oh8es/wm+wYL3qO0yRST2yjoPe91V/3wd0IT/ojepzTxts/RyMVnA1Qf4RqhoxazRsqIVVr0D6MIjNg35TYMss2L4AbAngaYft36rw8fvzm2ww8Q5Y+SKggSUG2rbBpk9g7M1gtKgQs3apen9CMQQ8kNBbfQz41LnKv4DaxZDUR4WXqQP391MTQgghhBBCCHEAklCxhzxQXsfLtS24QmEKIyxUePx8NrSQmc2dZJnMPNQ7k/vL60gwGZicGMNjxdlMWVNOdoSFal+AjkCIMpePOLORr9sctPiDuEJh4kxGnuyT/ZPXbfEHmdfmoNrrpyMQxBEMk2g2srCjixvz0jghKYYL11Ww0eXj+P34PH5JbYeHLY1O4iLMRJoN3PjuGtbWdNLu8tPqCqLTwQ1vr2ZEXgKpMdYeW+fsDQ10egLceWIJg7LieG1JJRsbnHR5g9R1ugGY2DuReZuaGZ4bjzcYon+6nQann96pdmra3Mzb1MTVb6wkNyGS+07tj91qorTOwbT313DeyBzOHvHT3999onEDka+dTuWo88g95p/o9AdGNehBIegFg1mFfN4OqPhatSOXnK5eX/kSxOWqsNCWAONuUS3LlfOgcR34HRCZoo51t0HNYsgeB9ULVaCIBt4WFVb6HKo60dsBS/4J2WNVVWJUGmz5XFU/Dr0c4gtg8WMw/EpIGQCNa9T6Orer0DAiAfKPhFUvQkQq2NNUxWL5HCg4DsJB6KyFuJweeKBCCCGEEEIIIQ4UEir2kAyrGT1g0sFWt49xsZFMWr6ZsbGR3JCTwos1LWzo8pBhNXNMUiyVHh8L2rs4PTmGPpFWkk1GvmhzkmTUM722hb/0yuDoxGg84Z/f/6zS4+P1ulampiXwTkMbzf4gHw8p5MKMRK4p284FGQl8PaJ4/zyE3dA0bac9+m58ezVJdjMxEWY+Wl1LOAxbmrqwGPXkJ0bw7LxtnD08kw9W1vLkOYN7NFD0BkIEQhq+YJgz+6UB0OUN8s2mJra1uhhbmEOMzcTcTS2MKUggENR48LQBvPDtNjY2OJh38+Fct7SK80fnctGYXK59axWXv7qcqw8v5LYP1nLLscUc3z9tv96T+7tn0S9/Cet5M8jLGbNfr33QWPcmZAxXwVz5HNU63LAG+k+Flf+BhELofRIseEgdn3s4bJ8POeOh31mw7WuoX6n2Sgx4wVWvgkCDFZL7grsF0KlKxphcCHpUoGiOgmAQskdB9WJ1jAbE5EFXnRrkUrNUhYe1y0FnhJUvQFI/FUD6nBCTBSOvhbIPoW0LBLqgrQ1aStVaXc0QmahCxaxx6j63falCz/5TIaVfDzxwIYQQQgghhBAHAgkVe8gFGYlckJHI7JZOIvV6OkMhNrl9LOhwUda1HaMOoowGTk2J46Ft9fSOtHJ3rzTuLq/HrNfhC2towBqXjwSTgfcb27k065dbUofFRPLhkEKGLdrApMRolna6+KCxnb/0SueDwYX7/sZ/RmWLi8n/nM8rFw7jpnfXcsXEXnT5gmyoc9Dg8JJitxAXYWJARjTBsEaHO8BT5w4iI9bGxoYuRvXQXoOapnHei0tZuLWVo4uT+MvxJayu6iA1xspri7ej00FhchSLt7WwpVEN0Vlf00GnO4DJqGdjg5Nom4mtTU7WVHewpqaDSIuB/hkx+IJhDHodX/95IibD/t3TrnXpE0TP/Qe1Yy8lVwLFXYUCqrqvdQsYbZA+FDwd4OtSrcdN6wAdNG8C/WdgiQZrPBhMP+yZaLJBzjhY9RJkjwe/W7U+d9UDelUNGJkEjlpVyVi/EvQGQAO/U52jcb2avh30QMij9kbUguracXlgi4Ps0SpwbN4A9atVq3PbVlWFuPULqFsJRjNEJoM5ApIHQMVctQdjy2aIzVEVjbVLIH04RCSpNUqoKIQQQgghhBCHLAkVe9gxiTEA3LW1Fqtez4lJMXzT5sQd1jgvLYEXa1ow63S81D+PNIuJDwcXkGI2cm95HZ+2OPhrXgoL2l1scHl4ansjV2Yl/6ohLQ/3zmJkbCQAKzvdBMMaRr2Ov2+r56tWB3OG996n9/1jq6raue7NVbx3xRieO28oU1/8jiFZcdz+4XqunFjAX47vwxnPLqLLH6Sy1Y2GRiCkYbcauOfjUs4fncuEoqQeG9ISCIVpd/mIMOuZs7GZldWL6fD4mfOnCRSkRFHe7KKyxcXRJSnUd3jp8oVIi7VyfP80NtQ5aE3wU5AUSXlTFxrw6bXjaO7yo2kaE3sn73StcFijyx8k2mra5/cVyjuM9uh0cvtM2efXOqiEAioYdNTAurdUWFe/UrUMpw9RYZzRolqE4/MhZSB428HrUO/xtsOgC1TloiUG4vJV+/KWT1W1Y1wedNYAYcg/SoWIiX1UqOdpgegM6KwDNNAC4GuH/GPUfozoISoF9GborFCt1N/eD+HAD+vXm1WbdPkciEiE1MGqIrGjEpwNkNpP7Z8Yk6XupWmd2mMx/xjQaWpPxcyRqq1bCCGEEEIIIcQhS0LFA8A1pds5KiGav+SnMWpxGVNS41jQ3sULtS08VJhBksXM0OgI+ixYz6v980i3WugMhTHr4P6KRh4tymDJVhdv1beywuHmtJQ4TtoxDfqnHJGgpnbWePxcvL4CgL/lp/N1aye13gCNvgApln0fXAGU1jnwBcOc+sxCXr5oBHERJipaXcy4aizZ8REYDTpiI8y0dvmY1DeFL0sbCADBUJhGh4+Lx+VhNe3/QLHD7ae1y88fX1/O1iYXuQk20mMj2FTvINZm4rYZ64i2mji8KIlgWOP6Iwv5bH0DiZFmzh2Ry6R+qTR3lfPJaeOwmgx0+YLER1koSY/5yWvOWFXLc9+UM+fGCfv8/pKTh0DykH1+nYOC3wW1yyCxNyx7Bg77mwr/xt+qhqmUvgfr3oaoZDBY1JRmXwd0tkHLRkgoUlWNaKodun6lal9OHQibPlZfjy+E3ieqacyuBrWH4vq3VeDnagCDDXQG9bnmV+uKTFV7KDasUoGk2a6Gvzhr1etBN9jif2id7qwDvUlVNpoiIDYflj8L3k61LlOkqlqMTIWts9TkaL0BOqpUaDn+FnXe2qWqRVuGtgghhBBCCCHEIUtCxQPAScmxFERYMev1xJuN9LdH0uAP8p++eRRGWQlpGiOWlDF9QD5DYyIJaRolUTaOSbBzz9Z6nqhqJsFkpJfNglUHm10eZjaGWeH0kGez8EZdK55wmAeLMhkXZ+f6sir6222URNo4b902to7rx6JOFw9srWVtl5dEo56TVm5hclI07zd28NHgAvIi9t1ehflJUdx5Yl++2dzEBytrMOj13DKpN2c/v4R//2EomxucnD0si6mjctDpoO+dDeQl2Khs9ZAdH8Gc0gZOHLj/pz6f+5+lJEaZKW9yEW0xUtXmIRDS6PQGuPaIQp6fv41XLx7BQ59vZHV1Jw9+vpEYqwlfKMw/v95Cg8PLeytqOLpPCiPyE7Ca9IwtSPzZa544MI2RefH77J40TaPTWUlsdN4+u8ZBKehRlXwd2yH3CGgpg+gs2PiRqgKMzoD2crWXoTUeXHVqqrPeAmGfChXN0VC/XLUfD70UqhaoMM8Uqc7vrFWB5OK/o8ofdepjRBKgV63NOj0YoyEqXV1Lp1eDVZL7qsEuXQ1qT0djJARdah/EtEGqfdrbqa4x5CLYOBNicqD0XbW/ohZU4Wdsrrrf+lU72rXjVJAZ1wvWTVeTo3ufAPZ09ZoQQgghhBBCiEPW/t2kTezWMYkx5EdYAPhyeG/OSovnhX4qUAQw6HTcX5hBnygbW1xeriur4u6CDN6ob+eewgzSLSbqfQFKXR4+bu7kvYZ2ylxeqjw+JiVE0xYMYtbpuHBdBTMb29ni8jAqJorRsZH8uySb1V0ehkRHstHtA6AlGGa718+/q1to8gc5ZtkmFrY59tn9j+6VwPED0li5vZ3P19dzxYR8bpmxjuK0KMYXJDJjZQ2fra/HFwzx4apaTh6UTk2HlzOHZVLT7ub5b7fts7X9nMn9U8iMt9EnzY7DF0Svg9oOL7kJkeTE23jk9AF8vKYetz9I75QoYm0mfMEQTm+QxEgzH6ysod0d4NYZ6wB4d3kNl/x32c9e02I0kBUfsXdvZMV/wVEPgNvTxJKVf8cf6Nq71zgYtWxSrc4bZ4KzTu1ViAbJJWpYSd0KaN8G/c5WoV32YWras6tOVQxa7GCJAnSw+RNVLYheVQRaY1XIaIxSw1FsCVB4Aix8SAV2ADmHqfAwJgfYMYBJC6uQz9upztVVB+5WtTdicglkjYXEYuh1pAoFC46BlS+qwTGeVig+WYWHBqMautJZBRkj1PAWgxW6mkELgbNGDY0xmGDTTNUGHVeohsm0b1NTo2OyeuCbIoQQQgghhBDiQKHTNE3b3xd1OBzExMTQ2dlJdHT0/r78QccRDGHT6zHpddR6/bxe18ot+Wm0+oPEGA1kfbOG77+JsQY9hydEE2U08GZdK2HgwvQEvmhxkGA2ssXtRQ+8PbAXVoOeT5s6WO50c2teCues2YYjpGEGIgw6OkIasXo9HTsmSm8Y25cE875riW5yeJn4j3mkx1h55ryhpMZY+c+327juyEJmrKzhlUWV6IE/jFZTlN9cVsPAzGh6JdrpnxlNr2T7Plvb/7eovIVXFlZS2+Ghus2NwxsEYEh2DCurOsmKs9Hq8jOxdxLXjU3hqy0d2COjGNMrgep2D6kxVuaUNuDwBPmuoo2Z144jGArj8oWIidj1Gb++ZDsJkWbmbWrmoTMG7N2bmX4mHHYzZI0AIBwOotcfwkXMdSvUcJKWMsgcpaYo2zMgLldVK6YPU8FfyKcq97ydkHc4NKwGo1VVLJrsEHDBEXfDpk/VgBN06teo61QlYNUCFTC2bIQB56lwsHGdCvQiktW+i4seUVWH5gg1BVqnU4ElerWXos6gKgaHXKzCw1AQ/A6ISlWt1EEvrHlVHReboyoRWzapikWjVYWR3k7VEu3tUPdkskPAqdZqilT7J1Z89cPz0ZvgiHv2+7dFHBjk57cQQgghhBDie1KpeBC4aF0F/65uAiDDauaW/DQAEsxGjHodjxRlogNSzUaWjSnh7LQEhsdE8t9+eSSZjLxW18rkpBjeG9SLI+Lt/KVXOn9YV8GU1VvRgIXtXZy0shyDTo9BB9k2C2vG9uPMlNjuQBHgi5bOfXqfK6s66JUYSaTFiMMT4Mk5m/myrJE2l59P1taxsd5Jot1CdbuHr8qa0LQwC7a0ctP7qznqsW9x+4P7dH3fW1XVzlXTV7KkvIXzRuUQG2Hm2H4pjC1IYE1NJ2aDjiiznmsmFvDZugbenPEBh39bzbxZHRz/1ALGFSbSJy2atTUOxhQkMPPacQAYDfrdBooA8zY1s6yyjdmlDXv/hqa+2x0oAod2oAiqGjAmQwWJzgZVkZfcF9CpykV3s5q8bEtQE5CDXjVkJRxQoWNEigrscieoFuj6lSrk0xkgc8SOKsdlUHKaqmbsfbI6Zuss6Hummq6c3A8WP66uGfara/Y5Va3N16kCRcOOLQkiE9Xr5mhVTanTq2rFuDy1vyKoMFFvVIGk0aramWNyIPdwFT7mH6mGwaCDYZeqFm+dQe3JqGmg2/FnwmBVn3dU7u/vihBCCCGEEEKIA4yEigeBZ0tyuCQzabevfdLUwdNVjUTrdfw1Pw1vWGNJRxfeUJgnqhppCgTRgAUdXXzW0smJyXEUR1iw6XWcmhKP1aCndGw/vh1ZzIKRxQy2R5BgNvBcTQsRegPfjz85IyWWrW7/Prm/Npefv3ywjkXlLej0OvQ6HRvqHLy+tIoub5AOt59F5a0UpUTx3B+GcfOkYj5b18D8La0EQ2GMOh0Ds2KYubpun6zv/3N6A+QlRnJsvxTu/7SUQVmxDMiIobXLz4SiJKKtJlpcQVZVd3BMSQpfB0rIvngCZx+VgUEHyyvbAXjhgmEcUZzyq675wgXDKEyJojA5igc/K9uXt3foatkES/6p2oJzDlP7HLpbIGcC5B6m2oK76sHXpdrFFzys3heZrII8d5sK79yNKvirnKtCvrRBal/EYZepluSmDZAzEVq3gDVBhYm2BBXYbfxQXbPya9U6bbCo9mSdEaoXQ6/J6pomu7qm3qQmPFcvVq3Q5kgVHLZtVcfFF0BCbxUeRiSoMNRZp6opC48DTweUfaRasxtXq/e0V6rj0EF0tqrA1HYE9iGvCiHt+38PUyGEEEIIIYQQBxYJFQ8CyRYTEYZdv1W1Xj/DoiNxhMJMTIhmREwUAxduYK3TTYLJyInJsSSZjWRazZyTFs9dW+t4orKRq8qquCwrmfuLMsm2WWgOBOkVYSXBbOKToUW80C+PSzOTuK1XGvcWZrBydAlPl+RyR0H6Prk/TdMIhzVOHJiG1x8kI9bClGGZGPQqcFxU3kqUxUjf9BimvbeWkjtm8fQ5g9HrYFNjF/6QxtUTC/hgVe0+WR/AI19sZNb6Bj5aVcuf3llNeVMX76+sQ9M0guEwT88t59zhmXy7uYXDipL45uaJLCxvYXy2hRNLYrj9u81s8LWz+s5JDM2Jw+MP/eI131tRQ7tLBbneQAiz0UAgFObTdfX77D4PWd5OaFwLMZlQ8x2UzwFXo6oIXDddHWNPh6zDVMhW8TUQBmOEChujs8FgBleT2i/x+2pPg1m1S6ODgEed1xQB5bPUPocVX6rKwaAbEnqpkDB5AMQVqFbmxCI1GOXwu9V66pdBZIpqT86dAPH5qhqxvVK1LhceB2NuVK3M27+F+Q/CgHPVuRN6g9EG0ZlqbevfVns9+hxqjdFZam0bP1St2LHZkNIXvG0/VComFKtzGPbPZHghhBBCCCGEEAeuQ7zP8eBU6fHx76omvml3clVWMn0irGx1+7imrIq/5qcRZzJyfHIsACs7XXze0snomEi6giEGJ8WQZjJi0esAmN/uJMqgpzDyh+nOSTv2TYww6Ln4Jyok96aEKAs3TSpi2H1fYdDDliYXy7fPIynKgsMbJD3WSkGynWP6pvLU11u4eEwuf/9iI4OzYyhvdnN471SufmMVpwzeN6EnQH5iFCnRFu78aD1uXwibSU9Igz5p0Xy2rgGDHp6aW845I7IYV5CIzWxg2ZWTMHx8MaW2VG5pnsTSba2YjXocngA1HR7OGZ7Nx2vquvdI9AZCtLr8ZMTaAHh1bhW+mZFMvdvM6qoOHvysjDOHZXUHjWIv6KxWIWHrJhXiGcyqCs+yY7Kx3qTCxJUvQdsWGPAH1Y5cu0S9HpmsAjxcqrJRp1ctyonF6pzViyAqDdo2Q9NatUdhUh/V7oxOXcdiV/s4Zo+HqvngbVfHhQMq6MwYuaOaMVFVOvabAmUfQM1SdU2DESISVYv1ls/UYBWDGSq+gYLjoHSGqnbc/Kna1jFlkJpKHZkErvlAGFa+oO7bnq5am8NBNUU66FPrtMVBOKTWXvElpPRT+zsKIYQQQgghhDhkSaXiQcQXDjOruZN3G9p4q6ENnaYxbXMNRyZG0xYI8ny/HLZ7/bzb0IYnFEbTNB7unc1TJbn0s0eQaDTwZn0bn7R0clSC2mD/8eJsjkmM+dnrekNhNru8+/TeznpuCSa9jlAYYiOMnDo4g77pMRSn2hmWE09Nu5tHvthIIBhmY6OTLY1d5CfaCWsaJWnRXDg2lxuP7s2jszdR3ebe6+vrnxnD5+sb2N7mJsJsoNOj2kFd/iBjCxL4+2n9sVtN3HxsMYvKW7n9o/WsfV5jc/gZ7mw/Fm8wjF6v46UF28iIs3H1xAIu+e8yshMieHT2Jh6bvYn3VtRwxWsruq/55tTRjBwezVuPt3L+C9/h8AT4blsrfz99Lw9qOZRoYbUnIKjKQYMZzFEw7Eq1h6CnXbUlO6pUZV/mSDXZuW2LaomOTv8hUIzNV63E4QBkjYai41UIqTOp4SqmCIjJhcQd7cc5h6mqwsb1EF8MhMFkU0GkzgA1i9V5PW2ApoI9gJX/AUeNOk/ndhU05h0JAbcK/bLGqDVGZ6v9GdHUPo9hP2gBFf6ZbJBUota17Sto2aBCTjRIHwldDarKsnmDCkQdVVC9EFIHgylKVTLGZMLmj9XvJVAUQgghhBBCiEOeVCoeRCo9fm7bXI0jFMYb1tjmDWDX67invJ5ZQwtJs5g5OzWe2zZXc9G6CkbFRvJpcydzhvdmi8tLUzBEnNFAjdfPSSu3sGpMX3S/IhyY1dLJwxUNLBrVZ5/d22NTBqJDh8mox2TQEW01kRytqif73zkLTyBMWNMIBDXyk6J4/dIRjMpP5KPVtfiDYf4yWa2tyeHDGwhRVu8gLzESq8nwc5fdI95AiE5PEIMOwjtyqSlDM3lvZS0fraqjstWFPxjmssPy0TTIOFHHlxs7CX+l570rRvLC/G3MXFPHoq2tnD86l1cuGsHoXgmsrelAhw4NjZMGpnVfLzJNR33vNu5bupIIkx5NDwOyYvfa/RySyj5UrbvxBarab9jlkD1OTUj2OoGgal3OGqMCxxXPqd83rlHTmvVGVTGYMQICXWpISuNaVR2o0++oMPRC02rIO0q1LOuAhlUqANQbVXVha6lqKQ4FVIBnsKoBLfH5qkU64FEBqMEG1mh1Hk87pAxUFYPVi9R+i9ljVEiaNlQFfpqm2p19DvX79m0qLLSnqYrI9m2qZbvwWCh7DyyxkD4IPC2qQjEuD/wutQfkqBtUBWPIq/aZNIxVFZamiJ77/gkhhBBCCCGEOGBIpeJBpHeklWuyk3GFfpjIvHhUCVdlJZFnswAwJCaSL4YXU+nxkWU181zfXADyIyy8N6iAsvH9GRkbRYM/yOct7b/quqekxPHV8N57/X5+bGBWHAOyYumTFs0jX2zineXVAMxa38CAzFjiIkxcPi6fsKZxVJ8k4iMteAMhitOiiY0wd5/noTMGUJhi54rXVzBvU/NeW19Y0/hodR3xkSb0Oh0akB5j5cHPN3PJuHyuPrwXWXE2/vjqCuIizHxX0cZ7K2tIj7VxwZhctjV3kZcYydK/HMW//zCU9bWdXPLfZXgDIe74aAN1HR7OeHYxpfVOajs83dctb+risbMGYLYaGJGXwPVHFu61ezok5R0OWWMhvlAFimteh0WP7RhsElDH5E4AeypExKtBK44qtQ+hBlTMVQGcXq8mJlvjICJZDWgZeAH0nQIFk9R5yr9QbctrXleVhb0mqfDvewm9wbVjf8yQFxpWwpr/QuogcDcBGugNqsJQb4LmMmjZqNqtHTXg74S65Tt+LVN7HUalQNUitS9i2fsqzOxqgOaNqiKz8DjofxbULoP0EWqwy/L/qOC06ATo2K6Oi8tT95h3uGp5DgfVWjKG75iELYQQQgghhBDiUKfTtO97Afcfh8NBTEwMnZ2dREdH7+/LH9QeKq/j8aomAHItJhoCQeaNKCZ3R6j4vY+a2hkdE0WyZfcDFYYu2kC8ycicfRwW/i80TcMTCHUPKun0BBiSE8eEoiQmPDKPvx7Xh39/W841RxRw0sD03VZb+oNhzMa9l5l7AyH+M38b8TYTLy+qRIeOLc1dHFWcRJLdyoOnD2DexkYufGU5H1w1hvpOL6GwxokD1T6Pf/1gHR+urmXF347GqNeh0+lYX9vJh6tq2Nbi5omzBmE1GXho1kbaXD6G5sQzsXcSt81YR227m9oOD9MvHcXI/IS9dk+HrGX/htSBqmU55Ie6VWpSczig9kx01Kh258EXgbMBNs5UYV3dcjUFOTINfB0q7GtYpQK/kE/tVdi4GuyZqlW4aYOq+tPpVXVfUm8wR+8Y8oIKDxtWgc4Cmg+SB0PHFjUJOi5PBZ+l76qwsux9tS50kDYYuprAWQN6s9pL0VGtKjBDfjVwxVG9630PuwKa1qv2a18nKrQ0qorG+AIVfK59TVVuZo9Vz8PdBt89pULToB9KTlct4OKQJT+/hRBCCCGEEN+TUPEAtNbpJstqJs60++50TdM4bsVm1js9nJcez4NFWeh0OircPq4rq+LdQb2w7mZa9I91BIJY9Hpsv3BcT1m0tYUrp6/gqD4pPDpl0C6vB0NhjL9i7WuqO/h6YxNXH17Aiu3tjO7120K5TneAsQ99TZcviNmgwx/SsBj13HtKXzLjIshPjCI1xsrLCysYW5BIUYq9+71dviDjH/oKly/ESxcOZ0hOHP3u/ILBWbE8de4Q0mNtbG50cuVry6np8DKuIJGC5Cjmbmoixmbi3SvG/Ka1C1S7cWeVqrzb+JEKDg1mVa1otKmKwZHXqD0KG1bDgPPg67+pic4RSSpstMSp/QoDrp3PnXu4qm4sfX/HRGcvoNsR8lVBYglkjVSDU1IHqT0S17+l9loMB1UlYtGJqhKy4mvIGAXls8EWD4MuUMfG9VIDYBzVOyYy69T+hmG/+twcqfZ29DpUpaSmqSBUZ1JhYFTajj0hDZA3EdrK1T6NaOo1vemH/SS/nwrduglaN4MtCfqeDrE5+/VbJg4s8vNbCCGEEEII8b0DM1E6xP1lcw2ft3T+5Os6nY5Hi7IJAuucHloCQba5fSSZjZySEts92fnnxJqMB2ygCDCmIJHLxudjt6pKS38wjMsXJBTW+M+32zjpXwv519ythMM/nYk/NGsj29tcdLr9fL6unj++tpzAj1rH/xcxESZevXgEeh0EQxpPnTOI/MRI/vHFZt5bUYPRoEPTNLY1u3aZ0lzV6sbhCZIeZ+NPb69iwZYWThyYTkm6nSMenUcwFCbSYsSg1xHWNKrb3czb1MSIvHgJFH8LRy04d7QZ1y1XLcnbv1UBnTlKva6FVBBoiYWmUmjZBO0VsOAh9T5LtKrW05sh7FOBYuZ4NWAlIkW1PVfOBU+nGooSCsGQS9V0aEcVoIOuekgoUiFj1QJV/TjsCjXdub1Cfb7saVj/NvQ/V70v5AVXM5gjoPcpqrIxFFDhnxbcMYjFoAJRTVMViBvehfpVqpJSC6pjQU267qxWxyYVq4/edkCDrHGQMmDHBGsjJPUFd4sa1pI9bkdgGSGBohBCCCGEEEKIbjKo5QD08ZDCXxyg0jfaxqrRJQSBM1aXE23Q8/HQIs5LT/hVw1cOBl9vbOLyw3oB8PTcrXxZ1sg9J/Xl39+U4/EHeeLLzRzXL5X8pKjdvj8QDFOUYucvM9ZT2uAkJdpKhztAkt2y2+N/jfImJ6c9uwiAcQUJXPfWap6YMghPIMR3lW2Me+hrnj1vKPee0o+adjcbGxwUp6pqnpL0aP52fAnH9k/F4w+RFR9BQpQZu9XEtUcU8fqS7dz9cSlnD8sEnY7Zf5pARYuL4G8MQg95jWtUsGZPU9Oca5ao/RDbK2D+Az9MWXY3gj1DVQladlSYBn2qyi9zpBryYs+AzkpADxFxqrU55IUN70DmaKj4Ug1CiclWQ00yhqsqx7Wvq/0Zt8xS4aXBon5ftwxi81Qbct4REA7/MOG5o0odlzwAqpeo4wmp9ST1Bk0HHdvUFGpHlQoEDRYVAHbVgrtZrTNjpAoGt3yi2rDNEWoPyeYN6viUgVCzaMdUbE21X6cNgowdU56DXuhzqmrJFkIIIYQQQgghdpBQcT/yh8NUePz0jlRTjV+oaSbHauboxJidjvu1oWCaVQ0o+WNmIqNio3iisoGXaltYO7bf3l14D7npmN4Up6lA7vLD8tna5MTpC7Li9qMBCIU1DD9Tlfm3E0oA+ObmiXT5glz8yjIen7OZKyf2Iiv+f5tg+6+5WwEoTo6kyxfi3pP78uDnGxlbkIA3EOLqiQVMKEwCYMbKWipaXDx+1iBAta1/u6UZm9nAv78tZ2hWLJEWI/ec0p8Ot5+7Py5lTK94vtzYzLK/HQVAXmLk/7ROsYOmqWEqSerPAmteV8Fg/RowmgEd9D4Vmtep/Q8HTIWVL6nJywm91XTnmCwVBIaDOwJFgLDaVzEc2BHGocI5Xye0bgFLFNSvVsFi4QlQeLyqYKxbrqoF0alAUW9Rw1GMVlU1mTFMXc+eplqTA261d6JOU+u1xKivNa1XE6NDXkjtD60b1RpCPsAH/f8AZpsa2uJ3qCnWRcfD+neg3xQVRDavU0NmvA4VNhp2PI8BU9X+jN+rXaYGxKQP2fffLyGEEEIIIYQQB40Dt//1IKZpGl3BUPfnvnCYF2uambh0Iyeu2AzAgnYnHzd1YNgLVYXnpieSH2FlSaeLyzJVoFXr9dPkC/zmc/ek15dsZ1tzF/d9UspriysZmBmLzahnwsNzKatz0O724/IFeWlBxc+2QSdEWXB4gowtSOSrjY0c/o95LNzaAqjv1e4sLm+lw+3f5eupMTbOGpbJ4Nx4qlpdNHb6GJ4bx+YGJ1ajnqP7prC5yclz35Rz3ZGFPH7WIDrdAVq6fLy+ZDvNTQFenLOdkrQYXP4wDQ4fAO3uAMNy49hQ5+TCsbm//eEJVWE37241MGX7fFj3JhQcA9EZap9Ac5SqynM3grtVhWqdVaoVOqFI7R9YtRDat6v9BiNTVBWg0aamIuuMqgoxqUSFgqteAL9XBY2Na2DYH6FwsqoQ7NiurhGRrNamBVWrdUpfNS06oVBNV65bDs46FSi6m2HgH2DUdaoKMuiBcEhVNQLYYtXH7fPV9Gbz9/vbGdS54vLAYARTpJpoHQ6q+zJHwfZ5aop08wbo3AZhTQ1qsdhh6VMqGP3mfjUQJm0IDLpwP37jhBBCCCGEEEIcDCRU3Afea2znuBWb6QgEGbloPTnfrOWvW2qp8/lxhsIs7egi0Wzk5ORYjkj43ze6//u2erZ7fN2fvzWwF9fmpADw4LZ6/lXd9JvvpadsqOvkiw2NOL0BeqfaeWVRJQ9+vpH3VlSzvc3NXR+vZ9Lj3/LG0io+X1+PL/jzLcJWk57EKAuzrj+Mly8aRv+MGJ7/tpyLX1mGpmnUtrsprevsDhn//nkZSyvadjnPtGOL6fKFSI+18fTUIby1rIrP1tWzvc1NQ6eXzLgIXL4gDQ4vnZ4AmqbxxFebue+TUk4dksm0gv5EaAZMejhnRDbJ0VZmra/nsTmb2NrURW5iBFcfXrBPnukhx2iFQeervRAbVkNyP9j0sfoYDqh9B7Wg2vcwKlWFdUklMPJa8LTDxk8ATbUCB71qcIkWVF+rXqKqEjUgbaCqODRYIDZLVUbaM2Hlf8DvAbNd7dHYslENetE01Y7t61At2OlDVNDpaVfTm521sG2uqkgM+tW1t3yi1hedrqoY43rB4EvBnq4GuYS8P+yHGJkIa15VawyH1DW2fqEGvZgjVMWk3qiOzRyt3h+ToYa/OOtUIOmog0AXrJsOFXN3rlwUQgghhBBCCCGQ9ue9zhUKEQxrTEqM5uJ129juC3a/FmPQ0xgM80RlA28OKqA40vabrtXgC+D9iQq9J4qz+RXzWg5YfdNj+OOEfO77tIyzh2dz1vBs5m5s4pO1auDGgIwY7jihLzmJkVx2WP4vnq8wxY43EOaeT0qZWJTIsPu/ZObVYzm8dzKvL63iwc/K8PhDvHrJCMYXJvHRNeN+8lxXHd6LuAgz6bE2nL4ger0OhzdIly+IDhiaE8/QnHiO+Mc8rjuykEaHlxibiSe/3MRXlc3Ued20brfg9IUoSo5i/pYWqlrdlKRFc/G43L30BAUAcfmq5VdvgoAHnA0qtAsHVbiXPlTtl5jUB0rfU23PXY2qkjE6S4V86KB6kQrt7JmqHTn/aNg2B0x22DhTtSy3bVYVfrkTYOOH6pqWSCg5TQV7jjoVHOqNKtTMnqCqIv0utcdhe4UKGkNBiE5TAV/5LNjgAJMF8o5S+y0WHQ8RCWptfhd4O1VwqmkqMHS3QcGxsPljiExToWR8L3XvEUmw5GlIG6zar6vmq7btouPgu2fUOeOLoKUU8o9SrdrJ/VTlZGSSGlgjhBBCCCGEEEIgoeJeV+3182x1E65giDq/ChR1qIKmxh3VdBUeP+/Wt/FFayfPluRi0uvY0OUh12Ym0mD4yXPPbOrg+eomXuqXR7LFxBN9sgGY3+bkkcoGZg4p7D7WeDAnijtcd2QhryysoKKli2P6phJtNZJsz6XN5eeEgRnc+dEG4iPN3HNy31/ch/KOj9bzwcpaAAx6eOXC4RgNOgqS7aTH2uibZsflCzJ+x36Iu9Pm8rNiezsb6jq54agiAFbdfgwfr6ll2vvrqGhxEWE2MHdTEyNz4/nX1MGU1TlpXqSjtbeLze0OgmEYkh1HaYOT/KRIvqtsY1VVBx9cPYZBWXF77+EJJRxSk5rtmeqjKQJMUaqqMCJJtQaHQyrsG3yxeo/FDkfer36/drqaptzVoFqHB1+ohrcEfVC/AnInQtkMNdnZGKEmJscXQsYoqF0Ktd+pUC/oVYNYcg9TFZKdVart2tOmKgszRqiJ1JY4NZHZEqMCRFeTCiG9Xij/QoWHAIseVR99nZDYB6zRKvRzN8Nht4GnAyqtgKbOn9hHBZchv5oY3VymKhLDQfC0wuIn1HX0ZjX8Bb1q3972tZo43VKm9oVMHbgfv3lCCCGEEEIIIQ5kEiruZb1sVl7qn8f4pRs5It7O3DYnl2Ym4Q2H8YbDzG7uIN5k4IaNVQyyR/B9FPbHDZVMy0ujKxiin93GAPuug0QGR0fgDYdZ7XDjDIU4ITkWi15PnygbV2T9dBh2sLKaDMRGmGnu8tEn1c7tH66npt2D3WpkQFYcS8pb6PAGGV+YwG0z1vPcH4YyLDcegIqWLpZXtnPmsCwAqlpdpMdZ+eCqsUSYjbz5XRUPzdrIR9eMI9JiZEhO/E7XDoc1trW46PQEGJoTR0OnlzF//4pnpg4hNdrafZzNbGDF9namDM0gPS6CJqePG99ezQkD0ilv7iLWbGZMTQ6fxZTRHg6SGWdlQ10nnd4Qby+r5sQB6cRHmrnvkzLeu3LM/nu4v1fr3lTVhyG/qrDztKngzFENrkYVGFZ9C/EFEJGojqtdBls/h3G3qlBw2TNqv0NfJyT2BleDanvuqFTXKPtQVRhGpkDjetQuEmEoOA4yh6lj7Gmqqs8UpQahhPwqdOyoVIFmVJqaBu13QeM6teciO4bKeFohFFBTn1u3gD1VBZ/9z4Elj6tWZnebau/OOVwFipXzVIXk9oVqfb5O1dbc1QDD/qaei9Gm2ryNNtDrIb4/NK5SzygqHeKyITob0Kk9F7++A3odAzkTVDWnPX0/fzOFEEIIIYQQQhzIdNpPTarYhxwOBzExMXR2dhId/ftpp1vvdHPiyi3cV5jJK7UtoGkcFhfF560OHi3OZnRsFADBsMb1ZVW0BAJMy0tjaEwkgbCGSa/jrq21jI2N2mUi9I91BUMcu2Iz0wfkk2Oz7K/b6xFVrS4mPDKPEwaksramk+p2DznxNqJtZk4alM7fPyvDbjVx9eG9yIiLYFLfVKra3Ex9YSltXT4enTKIp77ewtPnDiE/KWqnc/uDYczG3W8rOvKBLzmiOBmdTscDp/bnX3O3kh5jZWhOPE/P3cJDpw/oro5csKWFf88rZ01tB59eN46b3l3Ln44q5PLXVnB0SQprqjvotyoDfy8P/jwv8za1cNqQdOZvaSU2wkh5kwuTUcdjUwaxvdXNHyf02ufP9Xerbrmq8lvzmtoHMOSH0TeqsLBpPTSVQdinQsPik9R05oBHtRqnDVFDXUJeiM1Tv7fGqIpGb7uqJtQB5V+pYzQN0oap0NJZB0WT1V6GiSWqVTpvgqr0C/rVQJf+Z8G396tqSV+nCj2bNuyYUB0NqUPUhOeqBWofxq4GyBkH2xcAmgolzXY1zTnoU2sLBSCpGFo3g8+pjovOgfzD1R6Ovi51XX+Xej4136lnYY1Vz8PbrkJOg0mdy2BWrznrVSt4RAKMubGHvpniQPR7/fkthBBCCCGE2HNSqbgX9Ymy8URxNk9sb+TdQb0YsHAD1b4AMUYDgR/tfWjU63isOIv8b9eyzV3JZ8OKSDKrQQh3FWQA8NfNNVyYkUhhpHWX60QZDSwY2Wf/3FQPy06IZHSvBFZWdVDX4eXckdnERZhZV9vJzNV1BMJqcvL0pVU0O/0Mzo7DbNAzZVgW1e0u2lx+kuxWTIZdw8OfChQBnvvDMIpT7VhNqh3dbNCTHmvDaNBht+48tGJcYSIl6dH86YbNXH3HBpLskThrwuTGR3Lq4AzmbmxiSXY1Pn8If3mQCIuBPmnRVLa4yYyzsbGhi7OGZGE1GbCZf7r9XfwK6TsqBYddAatfhuzxUPmNChBdzWCtgZAVMkeor/s6AR3oDKp6sG4ZJPcHR62antzVoKocjRawxcGWz9W+hZGp4KiBhpWqalFvgvh8NeilaT2gqdeNZjXEpbVMhXx6y44wcT04G1U1ozkaEougfZt6X3J/qFkMGKB6qfoaetVCnTYEqheAKVpVUZqj1BTnkdfB4sfUcBcdqhKzaqF6bcFDkDoYCo9V10jsDdnjVKu0MQISClSw2LRe7aforIKB56uW7pR+PfJtFEIIIYQQQghx4JPpz3uRQafj5JQ45o4oJtFs4oHCDD4bUsjS0SUcFm/f6VizXsfU9AQmJUbTf+EGHtlWz+mrtuIPqX0XTXod67vc7K6QtCsYot+C9WxxeffLffW0Ny4bRWqMldgIE61dfo4qTuZvx/chLyGS0wZnkGy34AuGyYqPIBTWmPDIPM4enkXftBhG5sfz34tHkBW/azv5zxmUFdsdKFa0uOjyBRmZn0B6rI3bTyjZaQ/HdS+EWXBdmC2JLfTqbaXc1M577zTT0R6gX0YM0VYjBbk2fMYgYwuS6PIGmV3ayOQBafzthBIePLUfZfVOBmbGcv7o3L356A5d0enQ7xy1B6CzBta8rir8Bl0Afc+ArNEqHDRFwvAr1aTjqgWAXrUoe9vUhGVTBERnqr0GozNVa7XRBp4mtTdhTI6aHm2OUlWRuYeBNUGtIbRjYnRkkpqyXPoBBBw7wr52cDepduyQD7bPh/ZyFfqFg6oNOTJ5xx6KBtDpVTuzLU4NVgn71O9jstTei5tmwvCrVKjqboFvH1T7RLqbVSWkt0NVKYZ86hi/U4WcQa96f/7hMOpaiEpUrdg6Td2LLf4nH7EQQgghhBBCiEObVCruQxdm/vQ+hzqdjod7Z7Hd42NkrJ2iSAuPbm/k8tJKnu6Tw9XZyYxYXMrQ6Eiy/1+Lc5TRwHU5KTiCoX19CweMwdlxjOuVxLsrqznl2UVMLEri9KGZ9EmLpqzBQW5CBM+ep6rU3rtyNMnRVi4cm7dXru3xh2ju8v3k65ZYWKNvoaDAhtfs58SiVLY2OmnZ4mPepia6fCEuHJvH9L6pPDxrI0f1SebMYVnodwzTOWdkDueMzNkraxU/Er9jKnhCsRrSUvOd2lMwZSDodFAwSYWNribodzaUzlDhot4ItiTYNluFhVqMmtYcDqqQMHssbPoIhl7+w1TopCL45j5UmWB4x/WLVJWjt01Nhg4HVVDZXq5etyWAu/WHATIJ/cEcqUI9e4Z6L2EVkDpqVDVj3TIVhEalg98N2+bCgPOgZqlqWW5YDVGZ4KhUASKoasjmDWo4S1yu2pdx9J/Vfo/f79X4vaBXtT1HZ+2P75AQQgghhBBCiIOYhIr7kC8c5qhlm/hPv1yKI227PSbHZiHJbGLYog0U2MzManFwzppy3hjYiy3jB2DU63CHwrxa28LSzi706Lg6O5n2QJCv2hwMjYncz3e1/zU5vRQl2zljaCYaGku3tVKcZufEgWpwxIjceHol79ivMhTmP/MruOXY3mTG7Vl14v/X0uUjMcrC+tpOLh6bu8vrH35bxicVLl64YBhDexu4Mm8QDk8AfzDMtW/W88FVY0iINGM26umXGcPdH29Ar9Nx1ojs37SuvSLog5plkDtu19e8DrXH3+9Fr6PUx+yxsPoVNQk54FJ7FfocsPIF6D9VVQPGFYFjO/Q5Re2T2NWoph/nTITS91T1ozlChXTb5qgAMCZbnc8Wp0I6dKrt2dWkQjpDigoUQQ1iscZDOKwGsqCplmiDRU1j7mpSlYZdDVB4Amz5WJ0vc5Ta6zAqHTwtanp0V73aTzEchuaN0LJJVSXa0yClBMrnqIDRWaeG0mSOUJOpve0qvBx5jVqX5Uff65aNKlTtrFYhphBCCCGEEEII8ROk/Xkfsuj1/Dk3lWzr7oepXF26nQ8b2zHqwBEMcU1OCskmI6scblY4XBj1OsKaRv+F66nz+any+Jnd2slWt5fLspLoCoZ32qvx96q6zcPMNXXo9TpuPKY3T08dSnykmWnvraHTE8DpDeL0qtBGr9ORGWfrbl3+XzU5vAy//0vqOjysqm6ntuP/tZq3tzNiwwIuGqSqUSf3TyMxykJ+UhTFadHMuXEixWnRJEVbWXzbkaTF2DhvVA5TR/ZgoBj0gbMBnh2rfr1xFsz4I1TMV69vng1bvoR/FKnhIuEwNKxTr9Ush+plKvT6sY2fQ8UC2PipOv5A1rQBUgep/RHdLWq4ScClWo0Ti1SRYcijWn4b1qiPIR9EZaghKB3bYdEjapJyZKpqVc4eryr7DCa1T2H+kSpQTBsMaJB3hGqzNpghoQgyhkNsDhiNUHS8GgITkQCjrlNVhn4HHPYXKDlDHYNOncfVqIa+NKxWIeDoP6uwtGkDrHxRVUMG3NDrWNUa3bB2R8VlHPQ+AWIy1RqiktWeirBjCE2CmjC94T31tSGXQP5R6h6FEEIIIYQQQoifIdOfe9Cs5g5qvAEuykhgpcONxaAnENZwh8K829jGhDg7p6fGU9blwajTUePx81BlPcNjIrk2O4V7yut4tDgLi/7Qy4a3NXfR7PTh8ge55+NSHj9rEIOz4/bqNarb3LvuxdjZAWYzvPM2jD8M8g+SSc2zboVlL8JpL8C750PhMWBPhYAX+p0BuWNh+pkw9gaIy4HkYqhdAa+cADeXwzsXQHwefPc8jLhcBVL9Tod/j4XEYhXSXfY1xGT09J3unrdDVfNFpah9CnU61T68dZYK6Xwdavpxy2YV/jWtVeFjKKiqC73tgEHtgeh3qnbouEIV/IWCYImCrDFQ+r4KALMnqGErIa8a4qKFVRVh7uFqaEvmGLXfYdUC9bo9VYWArmYVfNYsUdWL4YCqdjTZ1F6IHZWq7Vpv+OG+Nn+mhqzE5qkQs/Rd6HW0Gtay5AkoPF5VJjpqf6ja/LHtC2D7tzD+VlWtqYXB0wERsp+i2JX8/BZCCCGEEEJ8T9qf97Eqj2+XPRG/N8AewV+3bMEVDvFabSvHJcVwb2EmAD5NI89mBtRU6Rdrmlnr9PDZ0CJ0qD0Zny459Pbh8wfDmI168pOiyE9SLc9HFKfsdEynO0AgHCYxavfP/dc474WlXHZYPl9vbMIbCPHHCTvCwyWLISkZTjsDoqL+5/PvV501sOFDFZ511atgrG4NGMvg2pXw2U1Q9iH0PQXWvKlaZ5OLIWOoChRDfvC0wbh/gt8Fm2ep8Gv9DDjhn1D6kQrG6tceuKFi6xZo2wJZo2D586ptuGoh5IyH8i9VeKc3ARq0bVUtyUEfmO3g7VQTngnvCAkNMPAP6j0bP1ThXed2yDlMDXNxt0HTOnUsqCEvQY96vyVShZTmSDAY1Hsq56qwMCZXtWNv/1aFtujV/o/V89VejGlDofA4WPeWCiFzJ6qWaJ1eDXUJ+cBqV+Hg4sfVfcTkqGrEuDxI+omJ8Tnj1K/v6fQSKAohhBBCCCGE+EWHXonbfuQLhxm3dCN3ba3d7RTnL1sdPNY7ixdrWnihX153oAhweLyd/9S00OALcOKKLfSLsvFkn2z0Ot1Ok4cPJTNW1nDS0wt+8bgnvtrMfZ+U/qZrnTcqh5WVbbw7dwOHNWyARQvVr6MnweAhYLerarcDlbsNXj0VHsxUbc22OBUOfvFX1crragSdAZ4epqrS2iqhsw7ic1Ur80O50FGl9g+0xapQ8eProfh46HOSCqgMZrX33tYvoHEdvHW2qv773pd3Q+OGHrn9XWQMV0EgQO8TIXUIZI2FzZ9D3zNVtaXJpp5R0K2qFA1WugevWGJh2B8hY6SqOPQ5YMO7MHaa2q/Q2wnbvlKDVGyxqq36e3ojGK1qGEtkMgyYqkLN1EGqxdoYocLLzkq1HyIGNahl7J8h7zAVWoaDuKf/jc1jRuML7xg2A2pPxJYyKD5ZTbqOSNxxv6NUq3TqABUotm2F9W/t+lyaS1WFZleDaqPe/4XrQgghhBBCCCEOUhIq7kMWvZ6jE6L5oLGdwG7+sr7G6QYdPFyUxaDoXYeKtPoDHLdiM+elx1MQYd0fSz6gTeqbypNnD/7F4249rpi/nz7gN10rc9sG7KuXM7FXHMWOemhrhfx80OsP7DARVEgU9Kk99mKy4Iu/gatFBWH6H/05cjWr4DDgghMeg62zVYt03ngYciFsma3anh/vq6r4ts2Dxf+C5N6qkq25VJ3z9Bfg+H+oSsgPr4COarg7DmpWwGc3w9f399ST2D17mmpXzj0MUgaoCcxaWLUb2xLAHKv2NjSYVbu0OUrtQ7jyBaj8esc+iykqwKtZqgbb6Axqj0VrvAoY+55FOHU0Wu4kNItdVYeGQ2ry86JH1LPfvkBVGuaMU5WLsflQfAqYrGpgSvVi2PypCj0DbqwnXodtwCBM9XNUCAgqsJxwu2qjrl6s9sLcOBNcDWCOVr9ArSu+cOfnEA7B5k/UWsxRKlg90P9sCyGEEEIIIYQ4YMieivtYpceHJxjm5boWbu+Vjt34wwCRZn+AcpePFQ43p6TEkmE14wqGeKu+jRqfn9vy05jd4uCE5Nieu4FD0Kz1DYwq/445bQZeaI/ki5RqKOmrKhQPdE0b4fmJcMZL8N6FMPkxWPGy2h/RaFEhVFSqCsJSSqBiHhw2DRrXw6bPIG8iXPARrHsPljwLA8+Bbx+G6AzVFutqVh/bKwAd9DkR0gbA2nfUEJjUASqYai2HY+6Dr++D6DS44OMf9gE8kJR/qSr8IpNUO7SnTQWtzhq1h6HfpVqntaAKAEvOgPgdrfDeDhVELvi7CnIBTJEQ9OJutlD90DsUPHAc4YABk92sBrCAmijdugW2fQlx+Wpwy/b5UDgZ0oeqISlRqao1e9tXeL1pmKxuDHlDwN+lwuLv94WsX6UqGQM7qis7tkPpDPV6RAKgqSpGIfaSQ+nntxBCCCGEEOLnSaXib+AKhbhw3TaafAFWOlwcu2wTbYEgDb4A15Zu5/jlm6nzBsiymfGHNV6pbeGt+lYA1jvdfNzUwdlry3m0sp5nqtRU3bltDp6pbiLGaMCs10ug+BM63QGm/HsxzU7f/36ShoZdv6ZpzPxyDe6oWE7217C12cV3GX2hoHDXYw80vi5Y/jJMfRdmXKaCruUvQu1KFQQarSqUGv9n1dVbMQ+KjlOhodGmqtqqFqnWaWe9ChDXvAG9J8OkB1SINvIKaK8EnVGFWpu/UO8rPhFG/FFV2RUdCxd9DjOvU4Himf+Flyer932vZasacNLTeh2lAkWA5jJVeTnyavV53XKIyYYB56r9DlMGqCEtoI7bOltNfR58MQy/EvKOwl/XTN2bG7AecRa5z/+DcGxfWj5dhxbywar/woKHVWVkw2o0UyTBmo10rSknEIxh29X3o616Ga2zBq1qPv7KzTTOWE/Dg//Aub5JVTPWr1Dtzt9XFNYtV0NyolJU6JnSX1WMtm2F1k1gjsTbUMaKT56htes3/G9FCCGEEEIIIYT4f2RQyw5tgSBxRgM6nY6wpnUPQ/leWNPQAMOOr7UHgpy5eiuZFhNXbtjONreH+kCIu7bU8F5jB+kWIyFN/d0/ymjgiT7ZzGzqoLTLjT8c5saN1ZyYHMNf8tKo8vq4tzCDV2tbuGNrLa8PyMcX1nAGQztVNoofRFgMHFWSjN26B3+EtR3fkLpaqKmBdWvh7HMg8kcDV1paeCZqO9Sa2RiRQEiDlP69wR65y+leWlDBgq0tvHTh8L1wR3uBFgJPqwoErXEQDEJ0lhrKooUgKlntwbf4KRWkhfyqpdmWAJnDoPxrCGrw/mUqqHI1qerDurWw6lWISIaKbyGhAGKz1X6JXY0w53bVEpw2CJo3qeq7N89Rw0mqlsAz48DdAK+eBlcuUPs0vng0nP4fKNjNNOKesOkT1eJtVn8WOmMHU2XpT3+LB9ZOJ9T3Igylr6j9D30uCHSpPRjRqUrDhtWQOw5dQx3G1BB6fFjidOAxkXzGMLDaCNp7Y4jLR9dZDd4OfJYhbL/7Tkwpq4k9aigGSxCdr4v6DzdjSk7EanagBQLkvPnGD/8tKpy887qHXrbz55428HVC8gDIHQ+RiejcnTTo0ykgtK+fohBCCCGEEEKIQ4hUKu5wzPJN9F24nvcb2riqdDsPVexcxXbn1lpu3FjNt20O+sxfx3Vl21nf5WWN08Mmt5fjkmJJMxv5vMXBacmxXJ2dwtT0RD5v7uSt+jZcoRBHxtt5t6GdF2qaafAHaPGHeLexjfcbO/igsZ07ttbSy2bm2tLt3LqphnVOTw89jQOL0xvA7d+5qk0HDMyMxWr66dDV7Q/i9gcJhzWWrtiC9vJLEAjw0aZ2vHojHHf8ToHi28uquGNRI5wzFUaNJnvKyZw1LJNQePc7BJwwMI0/H1O0V+5xr7DGqP0NK+eDo1q17G786IeqtqQiOOpuiM9TVW0hnwr+/rReDQTxdqoW2op5MPpq1Qod8oEWgNTB6rXNn6tzOerUvn5jr1ct0ACt22DSfWoQTMsmOPEpFdS5G9TgkeTe6hyr34RRVxw4gaKmQdiv9omMzQWfA33ueLJ966D0XTRjBFuPn4KrRqf2WqxfCdWLIG2Iaul21kP5HPC0YRp7Hsn3PQXhsBrYomkYdF50/c6m4vI7cH+3BBw1+Oyj6fimlNwHLyf/5jHEnn8laXf+DYJuki6aiq8F9BGRpN5x+68fzNRWrr4/UamqWjQ6HZY8icXdwPFp7cQ0LdqXT1EIIYQQQgghxCFGQsUd7u6VTlsgxLTN1eRYzfwhPYEjvttIWZcK9q7JTuHmvFS2uX10BEOENUi3mDg5OZY5w4uY1drJyclxnJ+RyF96pbPa6eHKrCQcwRD3ltfySk0Ltb4Ay0aXcFpKPP8uySXOZCDGaORPuSkY9TpKIm1MH5BPjMnIcyU5FEVYqPb6AfioqZ0qz0+3Lz5a0cBD2+r3y7PaX1r9QcYtLeOmmet5eNamnV7b1Ojk0leX4w3sWn3V5Qvy6OxN/PWDdbzwxjc0vjKdSz7YQvWIw/BvKCV6/SqaQgb4/FPwervfNzArliOKkyEyEop6EwjBgq2tPPnVlt2uL9lupW96zN696d8q4IG61TDqqu6qO7Sgqh5s3gIbP4G0wZA5VE1wjs+HeQ/CW+eq0O+I26HwWEgsVEGjwaLO0V4J6YN27N/nUa3UxSfAwn+qgS6nvwSXfAHDL4UBZ6khKF/cCv2nqPc7a9Uei20VsP59SCxS+z++cLRqt+5JOh30OW3HVOiBULUIe8VHxHSuUy/b08h9YhoRU+9UU5qjMyF7PEQm0fb6dFyz3oKkEkLY0Va+rELG1AGgoapBk/qCrxPb8KF0VYfUsJ/Nn0LAQ9BnIhCOQb9lBmbHUjBaMSYmkHFSLBFDhlBz/Q34yst/3X34HGA0qwEzIR8N99xLwBehKk77nQU5E/bdMxRCCCGEEEIIcciRUHGHcXF2TkmKwRvSWOZwYdbruDI7mSyrGYAUi4lMq5kLM5OYN7w3h8XbOS05lgSzkcnLN1PvCzK9roVlnS70Oh2rHC42dHlINhtJNBp4pKKeY5dvYnpdK/NaHVy/sYqTkmLRA42+IFEGPaucbs5fV8lZqfFctKGCU1Zv5fDvNvJYZT2PVjSwyeWlM6Aq9kq7dq5iPDIhmkqPj9WdLlzB30ebY6zJwPU5Kdx/fF9untR7p9cyYm18+afDdlupWNvu5osN9Xy8pp4MTzspASc35YQxdDnRJydxuM1DdtVmuOgSsP4wDbk4NZqJvZO7P+/w+Dm6JJn7T+kPgMsX5ISn5lPd5t5Hd7wXtGyB1q2qFTmhQFUKgppM3LIJapbB3Pugeimc8DiMuV4NI8mdoMK9WbdA9RJ49xI1qCXkgyPvBE8LlH4EXU2qNbp+FVQtBjQ48Z/Q7zTVBv3MGHj7PHWtpD7q/Yl9oP+Z4KhVA0WSi6Hvqar12t26o434AFIwCQqPg35nq7V31WNJNKMzGGDY5Wpvw4ALvB1oXg9aylAoOp6GO26na02Veh2gbhl0VMDA88BgIuNoE2abh7DbiSU1htRzx+J36jFqrWooS97hkFAIjhooOQ0Aa3Fv9FF2FVQuekxNbPa7dr/utMGQVALpQ6BuObEDDWj2dIhK5ZuZL/JdlXM/PUAhhBBCCCGEEIcCmf78/wTCGmes2szaLi+zhhaBTkfvSCtrnG6KIqzYDHr6L1hPjNHA7OG9Meog75u1DLHb0Ot1RBoMpFlMzGzq4MiEaIojrbxc00xjIESmxUSTP0iK2UidL4AGxBsNOEMhRsREUdrloTDCgsWg55v2Ls5Pjac5GETTYJvHx7cj+1D47VrCmoYrrHFnrzSOjo9hrdPFCzUtbHJ5cO34bqZbTKwc07dHn+XeMqe0kUAozOT+ad1fe+CzMmo7PPzr3B8mMmuaxiOvL+CZDQ4A4q16HstwslCXSL4tzGcVXYzslcg1xRFQWASOTkhNU5Vju3H3xxtw+YI8fMZAAMJhjbeWVXPq4Axs5gN0r8uAF9a+pfb9m/1X1QIbEQ8N69Tk53AQYnKgczvkH6FCRmsMFE5Sg0SOfxwW/wtaNkJyCUz+B6x5S+2daI5UE6JHXgFr3lRfAxhwNkx+GD6/RX19yquqUu+5wyBjqJqmnDlM7bc4+hooPl7tq3ggK31fDTzpdfTuXy/7QA1u+X4StLOOUF0pZIzCELWjQjQUUJWK7mb89U1o697FFGel/vXvSJ86mHBYj96kR9fnNBU+JhTh37QS2svp3Kwn9uQT0CfmUH/vA6Td8VcM/jr1vVvwENrYaXjKKogYMlhVjrZXqO/PyhfY/sIG4k45nuj4rWDPAnsqWzsgadCJxESY9svjE79fB/LPbyGEEEIIIcT+JaHibizv6OK01eXoNI1Ei4lPhxYxcnEpT5dkc2Jy3E5DXQDeqG3lps3VxJn05Nms/Kskh/d37J3YEQxhN+pxh8JMSY4jwWLi8Hg756wp58iEaJr9QZY73JREWrmzMINsq5myLjcVHj/N/hAFkRbOTUvoXtsWl5fPmzuo9wV4r7GdrlAYA/DjHQeNOz5/f2A+GTYLdV4/hRFWkiwHZ6Dwjy820ez0clifFCaXpKDT6QiEwoTCGtOXbOeD1bXkxkfw9cYmgmENf0j9kTbqQRfWiNMHGZNm49bYdqKmnEGUxQiBALz+Kpx8KsTH7/a64bDGuyuqWV3dwYOnDdift/zbPT1CBVrnvqNCxU/+rCoQgx4VhhUdowawbHgXjr4P7ClqsMf2hbDkGTVF+KQnoXkzvHeh+pjcFxrWqBbg/AlQPg8CTvV1UINgvJ1w9L0w/x9q38V+p6s9/la8rDbCbN6iAsYLPtr9ute8DR9eCdPK4e0/wElPqT0gDyDNzzyDKTUNa3YilkEj0RnNaj/DljIwRUJyX6quuw370DziJo2C5lI81U7M5jbC1kSCTg1r3xK6Zn+GruhIoo44Hja8TbC1ha23vEPsaafi315F5rm5kH8MTY88QPSUy4g47Di1AHcL/mYX204+hcJ5czE4N8L2b2H0DeBpx7VmK5bcDIzb3gJTBLibofhUVcEoxG90oP/8FkIIIYQQQuw/Mv15N4bFRrF2bF+eqW7iD2kJ3Lm1lvPS4zkuMRaAeNMPj227x8efN1dzZkocU9MTuLq0kiSTgXltDoKahh4osFnoCoaJMBpINBt5vqaFCKOBXhFW5rQ2k20xUefzc//WOh7vk82lG7azcVx/onYz+bkw0kphZCoAU9MTeWZ7PdflpvHwtgZmtXaSbzVj1euo8Pp5t7Gdtxva0QCTDr4bXUKaxbwfnuDeoWkaOp0OfzBMqyvAzfM24U0wc3pqPCaDnktfWcrC8lYm908hIhjgpth2Jg/O4rSlPhLtZuJsFra3ufH4g6z0GHi/3zDO9Adpcnjp8AQYcuHFPwwx+ZFP1tSxsLyFB08bwNCcOFJjDrD23F/DaIaYLGhYC6teV/ssmiPVUJLt86GpVE2KBpjzN9U6u/I1KDpO7Zc46gr1WsAFKf3gki/h1ZPVpGNPuxoIEg4CerWXn6MOLHZoKoNvH1EVkGe9rvZhdNSqyseYHJh9Gxh2hNubv1Dt1IPOVQNPwmF17vE3giUGCo9RgeiBxNVETGGQQFQqlRddRs5D12E7YoqqWIzvpQbjOBtIOu84TB1L1DMeeS22/q1oK/+Lq95C59y1ZJ3xFyzWEjo//oKo46JgyCUYgd5HTUOn0+FZvZrOreVY4vTYB6bR8cZzdHz2Lal33I4WNOPd8B29ly9DZzRCh1eFxS0bwddFpLUUUodDe756rhnDIXgAt+wLIYQQQgghhDgoSaXiT9A0jbFLNzLQbqPVH2RpZxd3F2ZyYUYiAJ81d/BcdTO390onwWQkL8JCqz/I0EXruTkvjQe21RNnMhDSoCTSysJOF2lmI0FgZHQkX7R0cnV2EpUeHx83OwgBqWYjwbDG+PgoninJ/fVTX3eo8vjIsJox7HhfKBxm8oot+MNhHKEw340u6X7tQPDJ2jpu/3A9j00ZxOHFyTu9FgiFGXLPHK4/spDXllRiNhrIT7OTZgiTbLcQMlv578JteIMhLHo9b2S38216P9Y2uGjwhjlhQBoasL3Fhau6jiMK4pnRCNOOLWbuxia2NnXx0Bm7rz48/8WlBEMab1w+CoD6Tg8xNhMR5oMog3fUQ+1K+OByyBoJ1d+pj4kFsPTfYLCC0QSRKSrYC3khJhN6HQWtmwG9qjIcct4P56xbBdXL4Iu/QM5YFSJmj1QtzVVL4Kt7VCtu5jBY/hJkj4KcMXDE39T75z4AC5+ECz6Gz6ep6seoJLj0a4hMAK8DnpsAJz6hKiFBhaA6ndor8tt/wGnP7e8nuTN3G9R+B4XHEt7wGfrOTRCXpyZhDzhX3f+Sf6pBNc4GCLjwtzghJhNPeyzNj9xHwfuv0PrJYmKTN9K+JkDCmFjqP24g6abbMaWm0vjoY7iXLgVHDVooBPYMAi0tmJKSyHnlZfwVFdTfdRf5M2b8sK6gVw3VCbjV/osNq6B1i9oXMj6/556X+N05GH5+i19n4sSJDBo0iCeeeKKnlyKEEGIfys3N5YYbbuCGG27o6aUcNC688EI6Ojr48MMPe3opQhzwZFDLT9DpdLzQL5czU+NpCQTwafBqbQtVbh+bXF62eXwkGA28WtfClDXlLO3oItZkoCQqgr9X1HNsYjQzBxfyUFEG56TFYwI8oTAXpidQFGnlmpxkvBrM3BEomgBHIEhLMMRHTZ3MaGzf4zVn2yw7hYYGvZ4vhvdm7sg+rBjTd78EitVtLvreMYsV2395ou9hRUn8YVQOabE/DEtZsKWFVVXtmAx6BmTG8I/Zm/jr5D5sbe5idUUbCzY28vA3VTQ6vLS4g3T5NTITI6kZNAaP0cKnm1pJirJQ3ebhwjF5xFmNzKj2MynCzfPnD6MgOYrLDsv/yUAR4NVLRvLEOYO4evpKXllUwQUvfccbS6v2yvPZb6LTYPZfIC4XznwZxv8ZTnhMVRqe8QrcUgmjr1PTmAMuKDgG3O2q4q3gaLCnqRbmgAce7gWb50DLVhg8Ve2XmDpA7UWZqPYdJWc0xGZB7+NUu/JtNWqAS99Tf1hTXC4EfWo68cTb4NqVcPhfIBxQr1ujIW+cGiLz9X2quvKJfjD7b7DoXxCRsMtt7ncR8Wo6NqDvOxnG/EntTenvgs4qiEqBgX+AzmpIKETTwhj0Hfi98URPPo68t9+C2BxiBsQSthcSddrlzFrYTvPsb6mYdjOa34/jk0+wH3kkiedPIXZiCb4tW8DjIfnGP2Gw27ENGLBzoAiqutTXCevehFUvQuM6sCXA+rd64CEdpD79M5R9Cqumw73J0Porp26L34WGhgauv/56CgoKsFqtpKSkMHbsWJ599lnc7l0rfR988EEMBgOPPPLILq+98sor6HS67l9RUVEMHTqUGf//f7c7vPnmmxgMBq6++uq9fl8/Z8aMGdx777379ZpCCCEOfPPmzUOn09HR0dHTS+mm0+n2a8D35JNP8sorr+y36wlxMDuISq96xgPb6rk5L5XbNteioTFyaRlpFhNFERaWdroojLBS6/Xz5PYGzk9PZFxcFIOjI8i1WTDoddywsZqQpmE2qPz28e2NDIqysdntI9qop7fNQq0/QN8oG9s9PmKBizKT6BVh/dl1HWgWlbdw18wNdHmD+ENhVld3oNPpGJId95PvibaauPGYH6Y6+4Nh3l5WxdCcOAZnxxEbaeaUwRlYzUZOGZhOR5uDuVU+AN5eVs3YrCgqWtxUtLhZ0eQh2mbEatRz0bg8+mfEcOrjX7PNEeCZUdHokpL26H4sBgOZcTamL6kiM87GRWMPrH39flFTGfSbAhtmwDsXQuW3MP+RHZV/ehh2idofMT4P2raqqraBZ0NKCQw5H9q3Q2SimjYc9KpqxsVPQUpfOPdtVYnYuAHQQdCv3l+6Y5/ES+bA+vfVMVEpcOYrYLKqSc8jLlUt0V6H2mdx/j8gvgCOfRDmPQjnf6SGyrwxRX0ccgHM/TvoNEgs7rnn+XMs0TD2ph8+79yu2p4NZsLOFjzlrURdrfZD1Da8i5Y3DGOvIXQtnE/5HZfz17N7c1thKv3WrENnNlM492sAOj78kJYvZoCmkffBDPQRvzDcxmCBmGzwtMGgC9Sz93XB1i8g/0g1qEf8tLKZsOwFQKe2CojN7ekVHbJCYY3vKtpocnpJtlsZkRePQb/v/lFs27ZtjB07ltjYWB544AH69++PxWJh3bp1PP/882RkZHDSSSft9J6XXnqJadOm8dJLL3HzzTfvcs7o6Gg2bdoEgNPp5OWXX2bKlCls2LCB3r1773Tsiy++yLRp03juued49NFHsVp/28//QCCAyfTLeyjH/8R+wgc6v9+P2XzwbOUihDi0hDSNJR1dNPmDJJuNjIqNOqA6xQ51v/ZnZExMzH5Yzd4nPyNFT5BKxZ+RZTVzeVYSjb4gjf4gJyXFMshuo84XwBEMUWSzMTkxml42CzlWC6DDFw7zcXMHF2QkUOH2YTfqeaFfLhadDk84zLTcVHxhDUcoTI0vSJnHhyMUpskfZFp+GlflpHBtTgqDog/s6bgef4i7Zq7nxndWA5AWY8NqMmAy6hmRF09bl58Ot/8Xz1PR4uKPry3nn19u5qWF21ha0cYZQzN5dXElNx3dm+P7p3HpK9/x+bo6Ntd2AGAz6gmENeodPiL0YRzeIFWtLh6ZtZmZ14xjeG4893+yAX+ng4sGJtFojKTTav9V9zVzTR3vLq/m6blbGJQVy7tXjOZfU4fs07/Q7hPNG6F1k6o8jMuDEVeoVmejRbUndzUCeuisVZWDyX3AFg96E1R8C08OVMGfJQpO+w98fbcKF1e9psLFupUqDHz/YmjaADOvU9WQF3yi2m/Xv6+uUbsCVk9X4eSIy9V06rfOhWdGw9av4Kw34Q8fqAAy9zC19pR+cPxjsHkWrHtXVTDa01XweDDIOQyGXwnOOvRFx2A99yH8VVVsmXg45X95m5bP1lP9t39QffODmOubWHra/fTb2oylsICaa65h07jxND7+OBFDh5Fw8UUUr1pJoKaG8qOP+fnr+johZzyMm6ZatMtmgLMWXE3q+Ytf8KMfh3+pBcMBOuH9d27W+nrGPfQ15/xnCde/tZpz/rOEcQ99zaz19fvsmldddRVGo5Hly5czZcoU+vTpQ35+PieffDKffvopJ5544k7Hf/PNN3g8Hu655x4cDgeLFi3a5Zw6nY7U1FRSU1MpLCzkvvvuQ6/Xs3bt2p2Oq6ioYNGiRdx6660UFRXttprxhRdeoE+fPlitVoqLi3nmmWe6X6usrESn0/H2228zYcIErFYr06dPJxgMct111xEbG0tCQgK33HILF1xwAaecckr3eydOnLhTK5zP5+OWW24hKysLi8VCQUEBL7744k8+t9zcXB544AEuvvhi7HY72dnZPP/88zsdU11dzZQpU4iNjSU+Pp6TTz6ZysrKn1wDwCmnnMKFF16403Xuvfdezj//fKKjo7n88ssBeP/99+nbty8Wi4Xc3FweffTRPV6fEELsTZ82dzBscSmnry7nytLtnL66nGGLS/m0uWOfXdPpdDJ16lQiIyNJS0vj8ccf3+1/W7/3/c+N1atXd3+to0MVg8ybN4/KykoOP/xwAOLi4tDpdN3/TZ41axbjxo3r/tlywgknUF5evsu533nnHcaPH4/NZmP48OFs3ryZZcuWMWzYMKKiojjuuONobm7uft+yZcs4+uijSUxMJCYmhgkTJrBy5cru13NzcwE49dRT0el03Z8DfPTRRwwZMgSr1Up+fj533303weAPI0x1Oh3PPvssJ510EpGRkdx///0A3HfffSQnJ2O327n00ku59dZbGTRoUPf7Lrzwwp1+ZobDYR5++GEKCgqwWCxkZ2d3n2t3Jk6cyHXXXce0adOIj48nNTWVu+66a6djOjo6uPTSS0lKSiI6OpojjjiCNWvW/OQaAG644QYmTpy403WuueYabrjhBhITE5k0aRKg/r/KiBEjsFgspKWlceutt+70XH7N+oT4tSRU/Bl2o4EpqfGMibOTYjayzulhk8sLQJnTQ6nLzdsN7cwYUkCa1cyRCdGkW82kmE0YdTpuKKui0R/imtIqbAY9xyZEM9Aeybod5wA1EPfazAQ+GFzA2WkJXJq5ZxV1+5vbH+SGt1bR985ZvLJoO7M3NHDS0wvIS4xk5jXj+Obmw5l+6ShuPraYI4pTfvF8URYjJWkxLKtq5/lvtvHuFaP52wfrueOjDcwpbaDJ6WNIbjwBTUfAZMZsgNQYKyf0T8ESYcVjsqLXQaPDR0qMhWOfnI/D6aKrvJLEzBSuO2kwb5S7qDXvPlQMhsIAlNZ1MubvX/Ha4ko+XFVLv4wYMuMiiI0wU9/h4fyXvsMbOIiCmb6nwpRXVeVf+zZVFXj4X+GU5yBtoNrPcNs80IJw8Ry1V2DLZqhapFpAE4vgy7vUuVL6QUQSDL8MBp4L/c9UAeSW2RAKqLbk/meoj1nDVTVjyclwzTK4ajEMvRC+eRjeuQDG3qCmQ5/2nBoWM/MaVeHYsgVcLfBABjSshw/+COd/DPkTVZjZ6wgVlIYCPfZIf7WKr9Sk7eKT0GWPwRgXhzExEfukSaTe+wAt/36OrjlzQKdDHxODzmZDb7EQ7uoi1OUi3NZGoKaGYHMTnhUr0ZlM2IYOJfrEEwm2/8y2CGUfqrbnkF+1Q+uNavpz9lgVMIufFvSrStrYXDjl2Z5ezSFr1vp6rnx9JfWd3p2+3tDp5crXV+6TYLG1tZXZs2dz9dVXExkZudtj/v/+xi+++CLnnHMOJpOJc84552eDN4BQKMR///tfAIYM2XkK+8svv8zxxx9PTEwM55133i7nmj59OnfccQf3338/ZWVlPPDAA9x+++3d5/verbfeyvXXX09ZWRmTJk3ioYceYvr06bz88sssXLgQh8Pxi21j559/Pm+++Sb//Oc/KSsr47nnniMqKupn3/Poo48ybNgwVq1axVVXXcWVV17ZXaEZCASYNGkSdrud+fPns3DhQqKiojj22GPx+3/5Hx1/7B//+AcDBw5k1apV3H777axYsYIpU6Zw9tlns27dOu666y5uv/32XVrVfm59QgixN33a3MGl6yup9+38/1UbfAEuXV+5z4LFG2+8kYULFzJz5kzmzJnD/Pnzdwrk9lRWVhbvv/8+AJs2baK+vp4nn3wSAJfLxY033sjy5cv56quv0Ov1nHrqqYTD4Z3Oceedd/K3v/2NlStXYjQaOffcc5k2bRpPPvkk8+fPZ+vWrdxxxx3dxzudTi644AIWLFjAkiVLKCwsZPLkyTidTkCFjqB+ZtbX13d/Pn/+fM4//3yuv/56SktLee6553jllVd2CfvuuusuTj31VNatW8fFF1/M9OnTuf/++3nooYdYsWIF2dnZPPvsz///v9tuu42///3v3H777ZSWlvLGG2+QkvLzf9f973//S2RkJEuXLuXhhx/mnnvuYc6cOd2vn3nmmTQ1NfH555+zYsUKhgwZwpFHHklb2y9vI/b/r2M2m1m4cCH//ve/qa2tZfLkyQwfPpw1a9bw7LPP8uKLL3Lfffft0fqE+LWkH+5X2NDlwRUKM6vVwS25qfy9soHDE+x83uokckfV3Px2J1PT4imJtHFDjplGXwB3OMzf8lIZERvFPVtrmdniYLnTw0lJ0XzZ6uSx3plMSorDZjh4sl1vIMwna+oIaxBl1jM8N568pEiWV7YxLHfPW6nCmsakfil8tr6ODk+AVxdVUpQaRVqllfG9kzjtX4vwBEIkR5nJio+gqaqDilY3NrOBa48owOUL8s7yGoZmx7FhiYPR+fEYm5q4LSvI2uJMVla1s7mxC51OR6cngNmgx2b+oQLpqMe+4bbJfXB6A9R1ePH6w4wrTOTkQRndx8zf2kJZvePgq1YESCyE82bAPfHw2U3Q+1gV/rVuVi3JwQCYbZCQD1GpcPhtMP9x9drAs384T3MZfHkn3FYLJguMuVYFgR3bobMO0Km96IZfoqoft36p9hlMH6ICro4qFVRqIQiF4b8nQkIhJPSC5BIYfbWqSvR3qVAsOgNm/1UNewn5VWvqpk9VeBmZ2GOP81dJG6pazH9EHxFB6m23AqD75z+p/dOfiD/3XFJumUagsYmwz0fmg38ncvAgfOXlmLOz0ZlMROwIILRwmM6ZM4maOAH7j/51slvjWlXNaY6CeXfDYber7+Hmz8DVCMYI2PIZFJ8Kib13ff+hbs2bqor3nLcgpU9Pr+aQFApr3P1xKbubHKeh/gHu7o9LObokda/+t3jr1q1omrZLS3JiYiJerwo3r776ah566CFADap57733WLx4MQDnnXce48eP58knn9wpgOvs7Oz+3OPxYDKZeP755+nVq1f3MeFwmFdeeYWnnnoKgLPPPps///nPVFRUkJentty48847efTRRznttNMAyMvL6/6L0wUXXNB9rhtuuKH7GICnnnqK2267jVNPVfvaPv3003z22Wc/+Rw2b97MO++8w5w5czjqqKMAyM//5SFPkydP5qqrrgLglltu4fHHH2fu3Ln07t2bt99+m3A4zAsvvNAdzL788svExsYyb948jjnmF6qvf+SII47gz3/+c/fnU6dO5cgjj+T2228HoKioiNLSUh555JGdqhx/bn1CCLG3hDSNv22p/dmfYbdvqeXYxJi92grtdDr573//yxtvvMGRRx4JqP/Opqen/8/nNBgM3dtjJCcnExsb2/3a6aefvtOxL730EklJSZSWltKvX7/ur990003dFXPXX38955xzDl999RVjx44F4JJLLtnpH4GOOOKInc77/PPPExsbyzfffMMJJ5xA0o5trGJjY0lNTe0+7u677+bWW2/t/nmYn5/Pvffey7Rp07jzzju7jzv33HO56KKLuj9/6qmnuOSSS7q/dscddzB79my6urp2+0ycTidPPvkkTz/9dPe1evXqxbhx437qMQIwYMCA7nUUFhby9NNP89VXX3H00UezYMECvvvuO5qamrBYLID6B7QPP/yQ9957r7sq/9coLCzk4Ycf7v78r3/9K1lZWTz99NPodDqKi4upq6vjlltu4Y477kCv1//i+oTYEwdPmtWDTk2JY8thAzg/PZ53Gtow6XRcn5fGklF9eKV/PikWE5MTYxiyaAP/rGrky1YH/8fefYdHUbUNHP7NbnaTTXbTK+kNCL33Jl0FERUUUUAQX/XF3j8r2HuvVEUQrIgICNKk94SSkBBISO91k2y2zHx/jKzEUH2BAJ77urh0Z87MnJlsZrLPPuc8HbcmM9TPk+8Ky/mtpJJd1XUogMXhYGO5mb6+Jq4P9rusAooAvh56Hh7aHICHBjcnrdCMl5uexOyKf7S/n/bm8s6qNO7qG4tOI3GsrJaKWjuf3daZ5NxKPPQaDDoNw1oHcyCvEgBPNy3lNfXcu2Av7/92iHnj2rEsMQ+Pej2FVRaeWXuMBzLdmPrNPn7dn8+o9iHklNfx2HdJDHhrHUeL1QdGelE1VrvMsRIzhVUW+sb742lw4dkRrRr0cVKvaLY/NQjd5fKzqqsAS6VaWOXDLmpFYI1WDTiN/gyGvQxj56tDYluOgKpcaD9eLbIC0PchNRAZ0BL2zIc5Q0GRwc0bXg5Ug4ab3oXcnerQ2r1fQUALdV5Fa41aERoF1r8Oubvg29shc6MatJk3ApKXwLjFakCyxTXgG6sGC8fOV7Mi17+iZk62uAaaD4Mh06HX/XDHiks/oAhqkRvjqb+59Bx4Fc03rCfoiccB0AUFkpCUiEfHDgC4xsYi/W2uF62rK6FvvoFHt24n36l7gDrM3ScKgtoBCtSVq9fLXAiRfSCsBxz74zyc4BWmplQt0tLrPhFQbEI7MsoaZSieSAHyKy3syDi3b+//cX927CAxMZHWrVtTX1/vXP7NN98QGxtL+/btAejQoQORkZEsXry4wfYmk4nExEQSExPZu3cvr7zyCnfffTe//PKLs83q1aupqanhmmuuAdRA5pAhQ5gzZw6gZoQcOXKEKVOmYDQanf9eeumlBsPNALp06eL8/8rKSgoLC+l2wv1Cq9XSuXPnU55vYmIiWq2W/v37n9N1atfur6Jnx4d8FxUVAZCUlER6ejomk8nZd19fXywWS6P+n8mJ5weQkpLi/HB6XO/evTl8+DAOx1+jCk7XP0EQhPNlW4W5UYbiiRQgr97GtoqTB63+qaNHj2Kz2Rrc7728vC7YFyeHDx9m3LhxxMTE4Onp6RyGnJXVsKDliffe49l8bdu2bbDsxHtxYWEhU6dOJT4+Hi8vLzw9PTGbzY32+3dJSUnMmDGjwTNy6tSp5OfnNyiy9vdnSGpqaoNrBjR6faKUlBTq6+udgduzdeJ1AAgJCWnwjDSbzfj5+TXof0ZGxjk/I//+fE9JSaFnz54NRlr07t0bs9lMTk7OWfVPEM6FyFQ8BzpJw9AAL56IDsHthABTmc3Ol3mlzG4Tw6GaWraWm4l01ZFWYyGttp5jlhL0ElgV0EkStbLM5FB/7LLCH+XVDPTzbMKzOnelNVYkYFtmOZufHHjG9qdzd/9YrHaZ2ZsyeHtsBx76NpE7ekex61gZ7/2eRm29g0CTKz3j/FifVozNITOgeSDrUgsJMum5170Y903rWBZYyghzGN0i/Vm4K5snh7fEI7MMrSRRbLbyyHeJvDCyFV2ifPhgzWGevDqBqV/tQpJg5YFC9mRXMLR1EK/d0BY3nYa3fkvl1/35vDy6Db8k5fPCda1w1Vwmc6ytelqdG3H4a9D/CZDt6l8zOjfI2AiHlsGOL9SiLVe/orZ9Ww0U03IkhHeDwgNQkQ05u8BRD6M/hZTlcGipmk2IRh1a22kCDHwWqvLUjEOtXi3qkrYKovupwcDiNDWw1Xo0HF4NBh9oPhTa3KAOf5YegKlr1QIuY76ExbdBzFXqNsYgSFyoVuK1W2Dg0014Yc8f7Qnf+p4t0+n+kDGFqD+X3bOgx/2QvQUyN6gVoPs+qVbx9omBqAH/uM9XrDlDwBQMHW5r6p78qxVVnzqg+E/ana24uDgkSWo0JPZ4lp7BYGiwfPbs2Rw8eBAXl7/+fJJlmTlz5jBlyhTnMo1GQ1xcnPN1u3btWLVqFa+//rpzjsbZs2dTVlbW4BiyLLNv3z6mT5/uzJiYOXMm3bt3b9AP7d/m/DzV0O2z9ffzPFt/n+xekiTnMDiz2Uznzp1ZsGBBo+2OZ51oNBoUpWFuj83W+IP5Pz2/0/VPEAThfCmy2s/c6BzaXUjHs9ROvPee7L57MiNHjiQyMpKZM2fSrFkzZFmmTZs2jaa0OPHeezyw9fdlJ96LJ06cSGlpKe+//z6RkZG4urrSs2fPM06VYTabmT59eoNM/eNOLHp2qT4jQ0JCWL9+faPtjmeHimekcLm4TFKvLg0vNg/j+bjQBgFFAF+dC+u7tWSwvyfR7m7sqKqlxOagwGZnsK+RKaH+ZA3owKgATzx1LnTzMtLZ04OMunruS8nCbL+M5uoD+jUPxNdDx4fjOvLD7hy2HCn5x/vKrahjb3Y5X23N4JFvEwnzcVMnnd+ZjauLFlmB/Kp6nv/5IH3j/Smoqqeo2oKnQc+aR6/i1lsHkRLSnA/cmnPHNbF8szuHa9oGs/S7UvYcqqTYXM/nt3Xmli4R2GVw0UikFlQza+NR+sX74eHqgkNRiPYzcLTIzCPfJbE6uZDVyYU083bjwzWHySmrpdera6i9BP4QOCtXvwHDXlGDiO3GgMEbni2CjuNBtkFoF+h+N/S4F9y84MepalZii2vgyDqoKVazEd19ISBezRRMuA5GfQhPF0Lab3B4Jdy7HXpMg6+uU6vmVuVCeQYgqdmQ+Ymw9RO18nTpEXW/9no4/JsarLz+U7hni5rBmLFRDXJ6+IExEOqrIHWFuu8DP6n9KU2H/d838cW9BB1YDAX7wDMM4tShJpSkQkAriPoz66g4BfYvVoOLNcWw7YPLY37KC62+Wn1v+rcA77Cm7s2/WqDp7Coen227s+Xn58eQIUP46KOPqKmpOW3b/fv3s2vXLtavX+/MQkxMTGT9+vVs3bqVQ4cOnXZ7rVZLXV0doM7l+PPPP7No0aIG+9q7dy/l5eWsWrWKoKAgmjVrxtGjR4mLi2vw7/jw6JPx8vIiKCjIOecUqPM6nm6OrbZt2yLLMhs2bDjtOZyLTp06cfjwYQIDAxv1/3hVzYCAAPLz/5or0+FwcODAgTPuOyEhgc2bNzdYtnnzZpo3b94o4CoIgnChBerPLk/nbNudrZiYGHQ6XYP7fWVlJWlpaafc5viXOifee08s2gI4qwefmPldWlpKamoqzzzzDIMGDSIhIYHy0831fQ42b97M/fffzzXXXOMswFVS0vDzpU6na9AfUJ8zqampjZ4xcXFxzuDpybRo0aLBNQMavT5RfHw8BoOBNWvW/IOzO7lOnTpRUFCAi4tLo777+6sjs/7+jITGP6uTSUhIYOvWrQ0Ckps3b8ZkMhEWJv7eFc4/kal4nl0b4E25zU6Em55+vg0zED9v03B+ongXLQf7tOFy0795AH5GV1YlF1JYbSGnvI4IX3fCfM69YvUvSXkkZVdQUKkOL8sqrWPBtixMri7cOyAOm93BliOlrDhQwPEvTgqr6pncJwqzxY7V6IOmMhM3gytT+kTTv3kAEgq/5VWRU+LL5uxsNhwuZsGOLL6/uydPLznAE1e35OttWbQIMpJWaCY+0EhNvR0XFy0Wm4P1qUXkVtSSV1HHk1e3JDG7gk3pJXyyLp1Hh7U8n5fywtCf5NsqjRb6PKT+f3EqrHhczfwLaqUWQXH3Vec4rMiCHTMhtKMajBzzByweD7/PUOdDHP+9muUoO9RCLkXJUJEJoz4DFPio259ZXxOgrlLNiqzIhgf2gU8ETFwKH3dT+xDWRR2y6+EPG99SMxtnXqUGG3+6S82sqywF32goOwJlR9Vh1kJDQW3BIxB0hr/mS2w7Ti3UovnzFm+rAUsZbH4TwntDSMe/1v2buZrguTL190NoUt2ifQnxcqOg0nLSOakk1CJd3aLPfe7eM/nkk0/o3bs3Xbp04YUXXqBdu3ZoNBp27tzJoUOHnMOKZs+eTbdu3ejXr1+jfXTt2pXZs2fz5ptvAmoGSEFBAaDOqbh69Wp+++0358T08+fPx8/Pj7FjxzYqBHPNNdcwe/Zshg8fzvTp07n//vvx8vJi+PDh1NfXs2vXLsrLy3n44YdPeU733Xcfr776KnFxcbRs2ZIPP/yQ8vLyRsc6LioqiokTJzJ58mQ++OAD2rdvz7FjxygqKmLs2LHnflFR5z188803GTVqFDNmzCAsLIxjx47x448/8vjjjxMWFsbAgQN5+OGH+fXXX4mNjeWdd96hoqLijPt+5JFH6Nq1Ky+++CI333wzW7du5aOPPmpQGVsQBOFi6eFtJMRVR0G97ZTPsBBXHT28T1/86lyZTCYmTpzIY489hq+vL4GBgTz//PNoNJpT3u8NBgM9evTgtddeIzo6mqKiIp555pkGbSIjI5EkiWXLlnHNNddgMBjw8fHBz8+PL774gpCQELKysnjyySfPy3nEx8czf/58unTpQlVVFY899lij7MCoqCjnvIyurq74+Pjw3HPPMWLECCIiIrjpppvQaDQkJSVx4MCBRkVJTnTfffcxdepUunTpQq9evVi8eDH79u075VzCbm5uPPHEEzz++OPo9Xp69+5NcXExBw8ebDBK4VwMHjyYnj17cv311/PGG2/QvHlz8vLy+PXXXxk9ejRdunRh4MCBvPnmm3z11Vf07NmTr7/+mgMHDtCxY8fT7vvee+/lvffe47777mPatGmkpqby/PPP8/DDD5822CoI/5R4V10AtzXzbxRQvNK8e3MHBrUM5N4BcaQWVvFH2j/LVry7fyyf3taZ7+7uydd3duODWzuy8XAxhdUW3lmVygvLkqmqs+Hu6sKiXdmM9KihrLic15Yf4qkf9/HZhiO0NGl4vLc6IXFcoJHYQBP3PhrKjff48tGtnYj0dSfQqMfHXQeKwvytx5g1sQsPDWnOHb0jGdgykK7R/gxqGcSn4zuzL6eCO/vE8OGtHRnfIxIvgw6tRmJ7Rhlbj5Ry55e7zuelvLAyNsLHPcBc/NeygBbwRIY6dLk4FXrfD+tehe2fQcF+0Lurw5bbjwONBrr9B5AhuC2sfhbihqiBvkPL1DkUbRbYM1cd+tzqemgzBvYtVIdR5+5Wg5yzBqnFW+Zdq2YxtrtZ7cuWD6DrXfBIKjRrr1aWNhfCgwegOg9aXqtmLQa3VbMgg9ue7Cz/3Wx1kPwjVGb/tex49efkH9V5LXP+fM/a69Tq1B6BcB4nCr9kmYv/OvcTybKaGQsioHiJ0Goknh+pzmf793fm8dfPj2x1QQpmxcbGsnfvXgYPHsxTTz1F+/bt6dKlCx9++CGPPvooL774Ilarla+//rrRJPXH3XjjjXz11VfOYUlVVVWEhIQQEhJCQkICb7/9NjNmzODpp9UpHObMmcPo0aNP+qHvxhtvZOnSpZSUlHDnnXcya9Ys5s6dS9u2benfvz/z5s07baYiqEVJxo0bx4QJE+jZsydGo5Fhw4Y1GA72d59++ik33XQT9957Ly1btmTq1KlnzN48HXd3d/744w8iIiK44YYbSEhIYMqUKVgsFjw91b+RJk+ezMSJE5kwYQL9+/cnJiaGq6666oz77tSpE99++y2LFi2iTZs2PPfcc8yYMaNBkRZBEISLRStJvBSvFnk81TPsxfjQ81qk5bh33nmHnj17MmLECAYPHkzv3r1JSEg47f1+zpw52O12OnfuzIMPPtgoABcaGuosghIUFMS0adPQaDQsWrSI3bt306ZNGx566CHnF2n/q9mzZ1NeXk6nTp24/fbbuf/++wkMDGzQ5u2332b16tWEh4c7g2rDhg1j2bJlrFq1iq5du9KjRw/effddIiMjT3u88ePH89RTT/Hoo4/SqVMnMjIymDRp0mmv2bPPPssjjzzCc889R0JCAjfffPP/NP+gJEksX76cfv36cccdd9C8eXNuueUWjh075pyHctiwYTz77LM8/vjjdO3alerqaiZMmHDGfYeGhrJ8+XJ27NhB+/btufvuu5kyZUqj4LEgnC+S8veB+hdBVVUVXl5eVFZWOv+wFP7dftqbw5srU+kc5cPLo9vScfoqHApoJPA36qm3Oai0OPDCThVaFCR0Gpg5sSsDWgSyaEcWfeL92ZJeiiTBmC7hPPXjPoI9DTwwON55nBs+3cyBnEq+vrM7a1IK+TkxnwVTu/HQ4iQ+vrUT4b5qtuX+nEpu+WIrd/aNod7uoH2YF19vy2JqvxhKzVZu7HwZpI5X5sK7rdShzXdvBu1pMtN2zgZ3fzVop3MDzz+rxuXshm8ngHcEJIyEThPVORYVWR0++8ebsOdLuOZt6DIJyo+pgUatDn57Wm035EVQ7OAdCXl7IaQdfHMrjP0SPu2lBi+HvqgeL2sbrH0Jxn4Fb0Srcyvq3KDvo+qcjfpzz4a94tVXqfMnWs1qhuKJtn8EXhHgFQ51VZC5Vq2s3eXsK8pdttJWwbe3qUPuh78OPe6GxbdDaGdIW6lm6t61vql7edm50M/vlQfymf5LcoOiLSFebjw/shXD24Sc9+P9W8iyTEJCAmPHjuXFF19s6u4IgiBckX4truCZw7kNirY0c9XxYnwo1wZ4X5Q+1NTUEBoayttvv/2Ps+j+jYYMGUJwcDDz589v6q4IwmVHjH8TmtThwmpyyuvoGePPE8PhgcVJpBVU4/gz1O2u01JUbcXgos6HaMSByU1PcIAXB/MqKTWrE/jO3ZyJn1GPu6sWzZ/fAr56g1rRqqjawiPfJvHpbZ15ZEgL7pi3gzvm7kCWwVWnZfm+ArpH+1Jirsddr8XP6ErbMC8Snx/Kc0sOsjG9mJl/HOWJq1vSJtQLf6Nrk1yrc1ZxDLSu6lDl0wUUAbqe4o+OklQ1K7HzHfDjnbB2Btz2EyR+Db0fhDY3gm+MWr0ZIGkR5OyE9rdAp9uh+FDDirox/cFuVStNK6hVnhNG/rXe1RtCu6rVeF291Cwzz2Zw6Fd1uLRAUW0lBhc9Jv2fw0JcPaHFCddQdkDlMXX4ePdpUFsC2dvUTE9JAwmNJ7O+Isk2MPhCdT6sfAKqC9TK6L/PUN9Lra5v6h4KJzG8TQhDWgWzI6OMomoLgSZ1yPOFyFC8kh07doxVq1bRv39/6uvr+eijj8jIyODWW29t6q4JgiBcsa4N8Ga4vxfbKswUWe0E6l3o4W28IBmKx+3du5dDhw7RrVs3KisrmTFjBgCjRo26YMe83NXW1vLZZ58xbNgwtFot33zzDb///jurV69u6q4JwmVJBBWFJrUnq4KvtmZSWGXBRSMhAamFZiTARQO1VgcSUGcHCYUyFzd+uakFBToTC7Zn4eehw2yxEepjINrfg7hAU6NjGF1dCPMxIAFBnm74ebiSX2nhmjZBmOsdmNx0hPkamDBnB9H+7rx0fVuyymqZtTEDf6OedY8OIKusltiA8zsPygUX0EINIp0ueFJvBksleKlDNtj8gTrPYVhnNZjnEQBdpsDm9+GqZ9WhootvU+eiS10Joz9X27v+eW0GPAG75qqFWyYuaxgwPM5Frw65Bnj0sFqcpaYElj2kzu1YlKJmQY7+AnZ8rg6Lztx0Xi/N5WzG1m+I8w7hwc4n+WOxOh8sFXDwW+j3tDoEWpHVoeTmfGh7qzqH5d65ED1QzR69Unk2U4d5O+zqsO/tn4CLAXCoQ8K9w5u6h8IpaDUSPWP9mroblzWNRsO8efN49NFHURSFNm3a8Pvvv5OQkHDmjQVBEIR/TCtJ9PZp/HnkQnrrrbdITU1Fr9fTuXNnNm7c6Cz2ITR2fOjxyy+/jMVioUWLFvzwww8MHjy4qbsmCJclEVQUmtSw1kG8tiIFrUai2mKnR4wfGSVmiqrqCTS5UmS24uuhp9RsRa/VYHU4GPN9OqHeBjJLa1iTUsioDqG8cVM7vA26kx7DoNOy4kABN3UOI7usllBvN/IrLaxJKaTeAW3DvJnUO4r1qcVkltTw4rJkesT4Map9M37dn89TP+7nrTHtL/KVOQ/c/WDcQojqq84hl7sbwruq62SHOp9i8s+Q8jPcu01dfuhXdbjx2hfVQGFdBbQapWYsanXQ+z7ofhckLlCzwI5tVgOOzxT9lQ1ZngmFB9XiIJLx1HPWmYvUbYfMUIeiVuVBRE+QXGDXbDAGwISf1L7bLSffx7/M4cI0NLY6/ttxxMkbHPtDDaT1f+6vORPtFrUq9MHvIXszBLWBwLZg8Ll4Hb9Yakpg++cw4CnI3qHOM1lfBW6+UFusZskGt4PeD4NWTCksXLnCw8MbVUcWBEEQrjwdO3Zk9+7dTd2Ny4rBYOD3339v6m4IwhVDBBWFJnEgt5Kc8lp6xfrTPsyboioLN3YJo1OED098v49aq50Pb+1Edb2DBVsz2ZZRxqSekRwuriE5r4rqOhtWu0KHcG+OFJtZdbCAj9al89L1bRjYUp3cdn1qEZklNYzqEMreZ4cgSRK3fL6VaH8jr45uzdNLDqKVoLLOiiwr3NYjEnO9nRh/DyL91ArKI9o3wyFf9GlHz5/YgZC9E/bOV4cm37tVLaiSuxuW3KPOoejq/Vf7Pg+q8+9Za+DAj2rQUW9UA4lFyWobnUENWDps0P8J6DxJnWfxeFBx0HPqctkGr4bBXRsgoHnjvtnroaZYLZjhFQZT16j7/Ok/aiXo5J+gIAm6TBZzKf7JdOhXEvJ3ojtVoLbNzY2X7Z0LEf2grgRCOqjLQq+AoeSb31cD5qGd/lpmNUNxCuQnQe4e9T0m28E3FmpL1YzcksNqJfKwzk3Xd0EQBEEQBEEQhCuAKNQiNIkle3PZn1tJ50hvHliUyPA2wSxLygdA7yJRb1doG+rJj/f2ptOM1VTX27m2XQgl1fVkldWQX1lPuI+Bz27vzLUfqENjn7q6JRN7ReGmUwMuczYd5d3fDxPt78HSaX0Y/M4G7u4Xwzur07A5HEgaDe+P7cCH69KJC/Tg+925bP+/QZjcdBzIraRNqFeTXZ/zxl6vDmne8LpaEdg7HPybq8Oau94JhQf+mg/xuJLD8HE3tTCKpIWbv1azvEI7q9mF1QXqPg/+CNEDIKYfrH8VHs9oHPzL2gZh3dQq0ufq0K9qkLH19f/w5C9vNfV2nvphPyPahzC0dbC6UJZBtrG/PJ8Y72A8dKeuUue05V1oOQqMgWqA+EqxZgbEDYbIXg2X//oIlGdBcBvI3qVmb3acAHu/Ute3vVmdhzJ2gJqtGdX7onf9ciae34IgCIIgCIIgHCfGfwlN4tp2ISzbl0dehQVXrYZfkvIZ3joISYKBLQLoEe1NbkUdh/KrqbXa0Uqw6mA+4T4GNJKG9qGefHdPT1o38+I//WJoH+bF1L4xuOm0TJ63k1kbj7LxcAnhPm58cEsHjpXW0D3al+nLDpJXaaGs1kZJdT23zdmBv9GVpXvzGd0hlF2Z5eRX1jH6k80UVl0BQ24zN6rzG5pC1CwuWYHSdOgxTQ0u/j2geGSdGiDsca9aZKUqTw3GfPNnVeHkn2HZg1B6WB3WnLsT/OLhzjUnzyaM6HHmgKLDrmadWWsaLm957b8noPjLg5C4UJ1PMmUZAGU1VhJzKqi12tU2616B354CF1ce/WMu2/JST72/gn1QX63+f6+H1GI6V1JAEdSM2L8HFEEd3jxkOlz1tBo0B3VuSVALF6UsgV0z4ef/wprpF627giAIgiAIgiAIVxox/FloEjqthtdvbEeMv5Ff9+VxuNDMjswyOkf6kFdZz6GCah4ZEs/nfxxxVoJ2OEBBoby2ntEdQ7HZFeqsDh4e2px6u4zmz+qgjw1rgZ9RT69YPz5df4QgTzfavvAbDhlGtA1m+YECNJLE8vv74uWhI9Dkxu5jZdw2eweLd2Xz20P92Pf8MAz6UwwxvZzEDYYH96tBpjnDwGGF0kz4sD34t4Kx88A3Clz+rGjtEwWxg6CmVB02GtgK/ngLBr8A77WD8O5QdhSsdeDXHKL7qtuvmQHeEXDNm+feR3sdHF4NbceC3uN8nflloeyQQuURhWhTMCydBpG91aG6CSMI93Xnj8ev+qtx6xvAYSXXXMrzPW6hV+hpCi7k7VCvpetJJgqvr1LnGgxsff5P6FLQeaL6X2sN+MdCr/fV4f5IoHGD4AToeBvs+RJunN2kXRUEQRAEQRAEQbicieHPQpNbti+PV35NIa/SgquLhmvaBFFWY2PTkVJkWUGS1AQ7gDGdw5BRqKixsTm9hMl9onl8eMtT7jurtJaHv92LyU1HdlktJdUWWoZ4klJQzeK7etIyxJN3VqXiotVw/6B4vtuVTZXFzpQ+0Rfp7C8Sez18O1HNPqwrV+daPPiTWoyl72NqcDCghTpEuihZLdBScABWP6sGF5t1gqpciBsCXSZCbRlUZEG7seDmBb8+pmaFTV7R1Gd6WTDnKSh2qM6FjOUybSZr8JI3QGUWdJpw2m1/Tt/OmqwkPhh41z87eGkaHNsInab8s+0vR78+qmbs8ueNZOSH8Mt96pyMk5Y1adcuN+L5LQiCIAiCIAjCcSJTUWhy3aJ8eeOm9tzz9S78PFzZeLgEg16DVgIPNxfM9XbCfQ30ivHjvkHxWO0ya1KKuKplIG/+lkq3aF8GtAjk1pnbGNm+GeO6RQDw/M8H+HZXNnU2mS4R3tgcCh0ifNiQVkLbME+iAzx4+qf9xAcZ6RiuVsKtt8v8uDvnygkqOuxqoMrFDfzjIW0ljP1KzUA0BkJhMmRsUAuiVOVDwgh1HsWKLBj8PKx7Wc1erMgESyXk7YYUP+olI8nbttBh47tIDx1Qtw9q09Rne9k4ulTBVgOdH9FQsE2i8qiC16ABZ7XtqLjujIrr/s8P7tdc/fdv0vIaSF+lzklZma0GFNGoQUVBEARBEARBEAThHxFBRaHJBXq6Eejpxs/T+vDJusP8lJiHXdYyrE0wZWYr86d0R6ORsDtk2rzwGwvu7M7UfjEADGgRQDMvAwBPXt2SUG+Dc7/dY/zYeLiEMZ1DWbAjmxqLjR4x4QxuFUyJuR69VsOOjDKqLTb25VSy77tKWjfzpHnQFTT33JE16txxUX0AjTq02VIOswZBRE8wF6iFWbwj1ArM1lp17sXaEvjhTrU6tN0Gra5Xi64UHQRTMDUtp5BiKaDWNYROh//AoDdC9/809dleNtrd/dc8k50eaoKpbUvTwOAL7v4X/9hNIXagWvHaLx5MzWD5w2oGbuHBpu6ZIAiCIAjCPzZgwAA6dOjAe++9d172N2nSJCoqKliyZMl52Z8gCFc+UahFuGT8sDuHlQcKcMggSRqeG9GKxJwKPv/jCAAuWg0bHx9I50hf5zZhPu7OuRTbhXljdcisPFAAwDVtQ+gb74/JzYWCSguuOi1ZZbVoJAjzMTDm061klNSQX2khxMuN9CIzdVY7w9qEXPyTv1CaD4O7N0PeXjWT0D8eKnPhqv9T5z9scxN4NlMrOh/bqmYybvsE2o9Xh0lnbVHnTNz7tVqIRW9EiRmEb9cRjH3+NYryS7Fl7wNjAGx4o6nPVjhbBYlQcaype3Fx9X9SnW+xy0R1PkmNXs3CFYT/kSRJl8yHr0mTJnH99dc3dTcEQRAE4R8RzzFBuPyITEXhkpFbUYdGowFk7LLCbwcLee/mDjz5wz7GdYvA211PgMn1tPtIzqvi213ZDG8TDECIlxsfbziCXVYoqKqnbagXG9JK6B3vzz1XxWK22GkRbCI+yMSSvbl0jvR1bntF2Pg2HP4d9Ca1Am6zTmrmol80BLSE6nw1oNjxdtg7H2KuUrMUi5LV7eOHwcCnIagVtL6eXW9O5tjc77ix4zhcvr+T0b5bYdNvWN2DOVIfQUJ9NVQXgn9c0563cHqtxzZ1Dy6+gBOGfHedDK6e0OaGpuuPcGqyA45tAXMhGIPUKt+ay7twltVqRa/XN3U3BEEQhAtMURRKqmxYbA7cdFr8PXVIktTU3RIEQbhgRKaicMl4ZkQrZk7owoh2wXw9pRu3dA1nSKtgOkf68vkfR89qH4MSgpgzqavz9ZpDRdjsMgEmPaM7NqN5sInPbu/M7T0iaR5komOEDy1DPNFqJO69Ko6R7ZtdqNO7+Bw2dXhrSZpaCbfTbfDH66B1UQN/C8eqBVomLIGEkaAzwOb31HV15dBhHAyZAb7RENYVilJp9cBcBrTWwRsxapDSLw4MPjjqLRwuccWxYy4sHHPy/lz8mlCCcHKdJ4mA4qUqeSm81wa+HAE/TFH/+14bdfkFtHLlSvr06YO3tzd+fn6MGDGCI0fULHmr1cq0adMICQnBzc2NyMhIXn31VQCioqIAGD16NJIkOV+/8MILdOjQgVmzZhEdHY2bmxsAWVlZjBo1CqPRiKenJ2PHjqWwsLBBX3755Re6du2Km5sb/v7+jB49GoAZM2bQpk3juWs7dOjAs88+ywsvvMCXX37Jzz//jCRJSJLE+vXrAcjOzmbs2LF4e3vj6+vLqFGjyMzMPM9XURAE4d8tt8zCyr0lbEopZ1d6FZtSylm5t4TcMstFOX59fT2PPvoooaGheHh40L17d+dzAP56Np3ovffecz67Tmbnzp0EBATw+uuvA+I5JghCYyKoKFwy/I2udI/x46NbO9M+3AcXrfr2fP3Gdtw38Nwz33Ir6mgZbKLUbKNtqBdHimuw2GTn+tmbMpi58SjVFhujPtqEwUXLwu1Z7MgoO2/n1KS2fgy/3K8O8ewyGZY/Bi2uVeeVi+wFYd0gbihE91OHRfe6D8Z9o2YE7V8Mu+ZCfTV8cRWUHobN7+K+4x38rn4Qml8NbW9U19eVYXCUc12LMrSb34aR70PpETi4BA78oPalLANeDVOrRv+dzaK2F4QLbd938PP9Td0L4VSSl8K3E6Aqr+Hyqnx1+QUMLNbU1PDwww+za9cu1qxZg0ajYfTo0ciyzAcffMDSpUv59ttvSU1NZcGCBc4PYDt37gRg7ty55OfnO18DpKen88MPP/Djjz+SmJiILMuMGjWKsrIyNmzYwOrVqzl69Cg333yzc5tff/2V0aNHc80117B3717WrFlDt27dAJg8eTIpKSkNjrF371727dvHHXfcwaOPPsrYsWMZPnw4+fn55Ofn06tXL2w2G8OGDcNkMrFx40Y2b96M0Whk+PDhWK3WC3ZNBUEQ/k1yyyzsSKvEYpUbLLdYZXakVV6UwOK0adPYunUrixYtYt++fYwZM4bhw4dz+PDhf7S/tWvXMmTIEF5++WWeeOIJ8RwTBOGkxPBn4ZLn4/HPhoxV1FrJLqtD0sCM61oT5uvRYP0L17VmaWIu42Zuw+TqQpHZwtzNGfga9XSL9j3FXi8jnSdCyi9w7dvw0z3gEwlHfge7FVxN6pyKbia1rU8k1JbCzlkw4CkI7wrh3WHjO2rV5y6T1YBgzm51iLTsUD/gT/4N/ngD9i6EogNqZuR3k6D3g+Dhr7YD8I6EcYvA/STXNXmJepxpOy7ShRH+tda/Cs06NnUvhJORHbDyCeBkGc0KIMHKJ6HltRdkKPSNN97Y4PWcOXMICAggOTmZrKws4uPj6dOnD5IkERkZ6WwXEBAAgLe3N8HBDafOsFqtfPXVV842q1evZv/+/WRkZBAeHg7AV199RevWrdm5cyddu3bl5Zdf5pZbbmH69OnO/bRv3x6AsLAwhg0bxty5c+naVc3Inzt3Lv379ycmRi1eZjAYqK+vb9CXr7/+GlmWmTVrlnMI3ty5c/H29mb9+vUMHTr0f7+AgiAI/2KKorAvs/q0bfZnVtPMx/WCDYXOyspi7ty5ZGVl0ayZOvLq0UcfZeXKlcydO5dXXnnlnPb3008/MWHCBGbNmuUMGq5Zs0Y8xwRBaERkKgpXpKd/2s87q9OYN7kbaS9e3SigeFxqYTU+7nq+uasnd/eP4+CM4UzuHX2Re3uBGHxg6hpo1gFGvqcGU+oqwRQM13/2Zybhjw3bm0Kg1zQ1oAjQ7S64/c82pmA1Y3HRbeqw54geahBAowWHBRKug6DWanDyyFoIbgedble3NReo25+Mm7daREMQLrS7N8GNs5q6F8LJHNvSOEOxAQWqctV2F8Dhw4cZN24cMTExeHp6OjMRs7KymDRpEomJibRo0YL777+fVatWndU+IyMjnQFFgJSUFMLDw50fxABatWqFt7c3KSkpACQmJjJo0KBT7nPq1Kl88803WCwWrFYrCxcuZPLkyaftR1JSEunp6ZhMJoxGI0ajEV9fXywWi3OItyAIgvDPlVTZGmUo/l2dVaakynbB+rB//34cDgfNmzd33uuNRiMbNmw453v99u3bGTNmDPPnz2+QhSieY4IgnIzIVBSuSJF+7lTWqQ/u48OoT+axYS0vVpeaVkR3CO2kzp24+X34biK0uAbcvP5qc9X//fX/c4ZDSEe4+lVwNarLOt4G7W9VMxNtFtj3LbQYAWtfgNt+hH2LwDsCkODoOvisLzywVx1+vWsulB2Fm2ar+0pcBFqdOoR6xWNqYLGtmONOuMD07k3dA+FUzIVnbnMu7c7RyJEjiYyMZObMmTRr1gxZlmnTpg1Wq5VOnTqRkZHBihUr+P333xk7diyDBw/m+++/P+0+PTxO/mXW6RgMhjP209XVlZ9++gm9Xo/NZuOmm2467TZms5nOnTuzYMGCRutODHoKgiAI/4zF5jiv7f4Js9mMVqtl9+7daLUNM/qNRvVveY1Gg/K3Oc5ttsaBztjYWPz8/JgzZw7XXnstOp3urPshnmOC8O8jgorCFef37UUE/hrM+y/GNHVXLi1anVrFecgMsJrBL1ZdXpapFlFZOx2GvqxmK1bmqoVe/k6jgQFPQk0p6Nyg1QgoTQXfWPCNg5yd6jyLsYPUoKVPlFokZuDT6jE2vAGJC9WsyOJUUGSoyALpdBlKgiBc8YxB57fdOSgtLSU1NZWZM2fSt29fADZt2tSgjaenJzfffDM333wzN910E8OHD6esrAxfX190Oh0Ox5k/KCYkJJCdnU12drYzyyM5OZmKigpatWoFQLt27VizZg133HHHSffh4uLCxIkTmTt3Lnq9nltuuaXBBzi9Xt+oL506dWLx4sUEBgbi6el59hdGEARBOCtuurObluNs2/0THTt2xOFwUFRU5HyW/V1AQAAFBQUoiuIcRpyYmNionb+/Pz/++CMDBgxg7NixfPvtt+h0OvEcEwThpMTwZ+GKU1RjpVZrQxLv7pP77f8gcxOsf019PXc4fN5XzTJ0cVMDhw/tV4dOn0pVLmRshAM/QdZWWHQLbH4XMtapwcZud0FAczVb8fVoyN4Jsgx6I4R1ATdPNch5dB006wzBbS/OuQuCcGmK7AWezYBTzTUlgWeo2u488/Hxwc/Pjy+++IL09HTWrl3Lww8/7Fz/zjvv8M0333Do0CHS0tL47rvvCA4OxtvbG1ArQK9Zs4aCggLKy8tPeZzBgwfTtm1bxo8fz549e9ixYwcTJkygf//+dOnSBYDnn3+eb775hueff56UlBT279/vrLh53J133snatWtZuXJloyFjUVFR7Nu3j9TUVEpKSrDZbIwfPx5/f39GjRrFxo0bycjIYP369dx///3k5OScp6soCILw7+XvqcNNf/oPHga9Bn/Ps8/4O1fNmzdn/PjxTJgwgR9//JGMjAx27NjBq6++yq+//grAgAEDKC4u5o033uDIkSN8/PHHrFix4qT7CwwMZO3atRw6dIhx48Zht9vFc0wQhJMSYRfhilCUqLBygvqt1q0Dw7j1FW80LhdmIuTLXswAcPdTsxUTv1ELJFjNENUfPPwat683N16WnwiRvdUiK3pPdVh0m5vg+s+h7RjI2AAlh9WMxKvfhDnD4MOO6lDq0K6Q8Qf0ul8tGtN6FPhEXOCTFgThkqbRwvDjHzr+fu/+8/Xw1y5IkRaNRsOiRYvYvXs3bdq04aGHHuLNN990rjeZTLzxxht06dKFrl27kpmZyfLly9Fo1D+h3n77bVavXk14eDgdO566EJAkSfz888/4+PjQr18/Bg8eTExMDIsXL3a2GTBgAN999x1Lly6lQ4cODBw4kB07Ghaxio+Pp1evXrRs2ZLu3bs3WDd16lRatGhBly5dCAgIYPPmzbi7u/PHH38QERHBDTfcQEJCAlOmTMFisYiMD0EQhPNAkiTaRZlO26ZtlOmCFWk5bu7cuUyYMIFHHnmEFi1acP3117Nz504iItS/sxMSEvjkk0/4+OOPad++PTt27ODRRx895f6Cg4NZu3Yt+/fvZ/z48ciyLJ5jgiA0Iil/n1jhIqiqqsLLy4vKykpxIxDOC1utQulBCO4qAolnZdN7amXo+io1yJe5EUxBcOfvUFcO306AHtMgsge8nQA97gZ7/Z+Vn+2wcza46MFhh+JD0HUyVGRDwX7ofAd0uAXSf4eVT0H3u9U5E1N+geg+8NuzMPRF6HLHBQkQCMJJyQ61MFGbG8T77n9wwZ/fyUvVAlAnFm3xDFUDiq2uO//HuwwpikJ8fDz33ntvg4xKQRAEoWnlllnYl1ndoGiLQa+hbZSJUF+3JuzZpUU8xwThyiLmVBSuCBMXbOepqxMIxuvMjQVoeS3s/04dhpyxHmx1kJOtDmlO/10NNK58Qv0gP/h5WPkktBwBJelQdljNaCw8CNX50GIkrH4OWl0POTvULEbvcNC6Qtxg+PURdVhj25vUitAP7oPP+0DzYWo7QbgYaoph/Stqpq5RTOp9yWp1nXp/OrZFLcpiDFKHPItAMADFxcUsWrSIgoKCU85XJQiCIDSNUF83mvm4qtWgbQ7cdFr8PXUXPEPxciKeY4Jw5RFBReGKcG27EHzsbuyfKdN2qhjVf0b+8dD/CfjjTbDWgqUctG7w5XWArA5ttlRARA/Y8yUMngGxV8GCMeoH/e53wy0L4b12ahCxz8Nq4LDFtVB+FHyj1dfVBepcjZ0mgKSBoxsg5REwF8OBH9SsyO7/+XMuNUG4gEzB4BEAhQfAeFVT90Y4HY0Wok8+yfy/XWBgIP7+/nzxxRf4+Pg0dXcEQRCEv5EkiQAvfVN345IlnmOCcOURQUXhijC+eyTmXIXcYqVBRTPhNKL6qEOa3X3h10fV/7a7Wc3k2vOlmiG0/QsoSVOHN//0H7WCs+IAm0XNMtS5QXUuVOao8yd2m9rwGEGt1YBhWQakLFWHW2v06j52zVFfSxLEXw25O6DHvSIjSbhwej+oZssKwmWqCWasEQRBEITzRjzHBOHKI+ZUFAQBds+D5ler8ypmboZF48BSBSgQOxSOrAGvZlCVr7aXgLvWw3dTQKuFymy49j0147EqV81QHP1Zw2PUlcPXN0LBQZCt4B4EdSUg20DjAv7N1Tkd9R4X9dQFQTh74vktCIIgCIIgCMJxYpyocNlJ/Ehm9zvyKden/yRTUyC+BTsnnSepAUVQA3zR/cG/hfraK0wtylKZrc5FF9BaLdYycxBc+4Y69NkjSN3OXg/ekdB69F/7LsuA4lTY8Dpc+466TNJAbYmasYik7q/LFBFQFARBEARBEARBEITLhAgqCped+JskWtx86uHNJfvBUnYRO3SlieiuFlipr4BnSwAHxA8Fz3CoKYXig+DmA8Ft4fDv8OOdUJEFG16F+mp1/kSvMNi7QN3f1o/VatN7v4avbwKHFXyiwOCFmvIIPJoOXac0yekKgiAIgiAIgiAIgnDuxJyKwmXHI/j08yX2eE7Eyv9ndWXQ+gbQ6tSqz9/cDHdvhk97QexAdW7Fgn1QfEhtHzsY8nap2YhBraDeDHl7IKa/WsW11Si4aS6UHlHntIvq9dexasvU+RwFQRAEQRAEQRAEQbhsiDkVBUE4udw9anGW/+6AmmIwBkLObnXYsrsfzB4C3tFw7Zvw0z3Q8Ta1MnT6WrUAi4cfdBwP+fvVoGHyEjUj0UVUxBOEy5V4fguCIAiCIAiCcJzIVBQE4eT8m8PAZ9TqzMZAdVlY57/Wxw9Xl/88DWoKIW83FKWogcWe08BugTY3Qf8nYPHtMG6RCCgKgiAIgiAIgiAIwhVCjBMVLlu2GoU978nYLaIoywXhalSHLZ9Ki6shcQEMf00dIl1VAA8kwTPFMOxluPZt8ItV2948HyJ7nXpfgnAx2CxN3QPhX2rSpElcf/31ztcDBgzgwQcfdL6Oiorivffeu+j9upD+fo7/1Pm4Nme6/meyfv16JEmioqLif+rH6fz9PCVJYsmSJRfseIIg/HtdjHva2fpf730vvPACHTp0OO/9Oi4zMxNJkkhMTAQurWsnCJcKkakoXLYURU2GQ8QUm0bnCbDqaXVo8y0Lmro3gnB6tWXwdgu4Zyv4xzV1b4R/mffff58mmG3msjJv3jwefPDBi/JB7ccff0Sn013w4wiCIFyKevXqRX5+Pl5eXk3dlUby8/Px8fFp6m4IgnAORFBRuGzpjRLdnmxctMVSpuDme/piLsJ58lg6uLg2dS8E4czcfWHK6r+yZ4VLlkOW2VWYTnFdJQEGL7oExaHVXN4DKy70BzeHw4EkSWgu8+t0sfj6iuJggiBcIIoM5ZlgrQK9J/hEgXRp3Zv1ej3BwcH/eHur1Ypef2GmNPpf+iUIQtO4tO5wgnAerJggU7hboa7435MVYrZV80vBYuyyjVq7+eIdWAQUhctJsw7qHKHCJWtV5l4Gffc0E1e+y6Mb5jBx5bsM+u5pVmXuvWDHlGWZN954g7i4OFxdXYmIiODll192rn/iiSdo3rw57u7uxMTE8Oyzz2Kz2Zzrjw+9+vzzzwkPD8fd3Z2xY8dSWVnpbPP34bdn8s4779C2bVs8PDwIDw/n3nvvxWz+694+b948vL29Wbp0Ka1atcLV1ZVNmzah0+koKChosK8HH3yQvn37nvJYFRUV3HnnnQQEBODp6cnAgQNJSkpqdH7z588nKioKLy8vbrnlFqqrq51tampqmDBhAkajkZCQEN5+++1GxykvL2fChAn4+Pjg7u7O1VdfzeHDhwF1ONkdd9xBZWUlkiQhSRIvvPCCc9va2lomT56MyWQiIiKCL774osG+s7OzGTt2LN7e3vj6+jJq1CgyMzNPec5/H/48f/58unTpgslkIjg4mFtvvZWioqJTbn+q6/if//yHoKAg3NzcaNOmDcuWLXOu37RpE3379sVgMBAeHs79999PTU3NOR1DEIRLXNEB2PQG7JkJBxar/930hrr8AhkwYAD33XcfDz74ID4+PgQFBTFz5kxqamq44447MJlMxMXFsWLFCuc2JxvCu3nzZgYMGIC7uzs+Pj4MGzaM8vJy5zGmTZvGgw8+iL+/P8OGDQNgw4YNdOvWDVdXV0JCQnjyySex2+3OfVZXVzN+/Hg8PDwICQnh3XffPeP0E38f/nymZ/DZOHjwICNGjMDT0xOTyUTfvn05cuSIc/2sWbNISEjAzc2Nli1b8sknn5zT/gXh304EFYXLWskBhdLkhsHDYXM1BHRUWDlRpmjvlR9YPFi5l0W5s8izZLGzfAtf53xGWX1JU3dLEJqMoihUFJmx1at/2Frr7RxJzKeqrLaJeyaczqrMvTyw7gsKaisaLC+sreCBdV9csMDiU089xWuvvcazzz5LcnIyCxcuJCgoyLneZDIxb948kpOTef/995k5cybvvvtug32kp6fz7bff8ssvv7By5Ur27t3Lvffe+4/7pNFo+OCDDzh48CBffvkla9eu5fHHH2/Qpra2ltdff51Zs2Zx8OBBunTpQkxMDPPnz3e2sdlsLFiwgMmTJ5/yWGPGjKGoqIgVK1awe/duOnXqxKBBgygrK3O2OXLkCEuWLGHZsmUsW7aMDRs28NprrznXP/bYY2zYsIGff/6ZVatWsX79evbs2dPgOJMmTWLXrl0sXbqUrVu3oigK11xzDTabjV69evHee+/h6elJfn4++fn5PProo85t3377bbp06eK8rvfccw+pqanOcxw2bBgmk4mNGzeyefNmjEYjw4cPx2q1ntX1ttlsvPjiiyQlJbFkyRIyMzOZNGnSWW0LamD66quvZvPmzXz99dckJyfz2muvodVqnddv+PDh3Hjjjezbt4/FixezadMmpk2bdtbHEAThEld0APYtgPrKhsvrK9XlFzCw+OWXX+Lv78+OHTu47777uOeeexgzZgy9evViz549DB06lNtvv53a2pP/HZSYmMigQYNo1aoVW7duZdOmTYwcORKHw9HgGHq9ns2bN/PZZ5+Rm5vLNddcQ9euXUlKSuLTTz9l9uzZvPTSS85tHn74YTZv3szSpUtZvXo1GzdubPRsOJOzeQafTm5uLv369cPV1ZW1a9eye/duJk+e7Ax+LliwgOeee46XX36ZlJQUXnnlFZ599lm+/PLLc+qnIPyrKU2gsrJSAZTKysqmOLxwBZBlWclY4VD2fWFXkuc7Ttqmtli+yL26+Cqt5crsjHeVmRnvKHMy31f2lG1VPs94U/ks4w3li4y3lPWFy5u6i4JwUTjsDiV9b65irbcrWYeKlM0/H1R2/paqVJfVKpWlNcqeJZuU+pnXNXU3L3sX6vltdziU/oueVFrMufuk/1rOuVvpv/gpxe44+f3+n6qqqlJcXV2VmTNnnvU2b775ptK5c2fn6+eff17RarVKTk6Oc9mKFSsUjUaj5OfnK4qiKBMnTlRGjRrlXN+/f3/lgQcecL6OjIxU3n333VMe87vvvlP8/Pycr+fOnasASmJiYoN2r7/+upKQkOB8/cMPPyhGo1Exm80n3e/GjRsVT09PxWKxNFgeGxurfP75587zc3d3V6qqqpzrH3vsMaV79+6KoihKdXW1otfrlW+//da5vrS0VDEYDM5zTEtLUwBl8+bNzjYlJSWKwWBwbjd37lzFy8urUR8jIyOV2267zflalmUlMDBQ+fTTTxVFUZT58+crLVq0UGT5r2d+fX29YjAYlN9++01RlDNf/7/buXOnAijV1dWKoijKunXrFEApLy8/afvffvtN0Wg0Smpq6knXT5kyRbnrrrsaLNu4caOi0WiUuro653me+B4AlJ9++umUfRQE4RIiOxTlj1cVZfWTp/73x6tqu/Osf//+Sp8+fZyv7Xa74uHhodx+++3OZfn5+QqgbN26VVGUxve0cePGKb179z7tMTp27Nhg2f/93/81uvd+/PHHitFoVBwOh1JVVaXodDrlu+++c66vqKhQ3N3dT/v8O9O972TP4Pbt25+y/VNPPaVER0crVqv1pOtjY2OVhQsXNlj24osvKj179lQURVEyMjIUQNm7d6+iKGd+HgjCv5HIVBQuS7IV0r5TiBquIeG2k7+NDf5X/jBHjaQhxqMFXjpv9BpXDtXsR0I97165rbHll1NpK2dZwbfY5LPL2BCEy1FdTT2Fxyo4vDuH+jobwVE+2OrtHNqRjaevO237RlPR5QWsFjsp27Ox2xxn3qlw0ewqTG+UoXgiBSioKWdXYfp5PW5KSgr19fUMGjTolG0WL15M7969CQ4Oxmg08swzz5CVldWgTUREBKGhoc7XPXv2RJZlZzbdufr9998ZNGgQoaGhmEwmbr/9dkpLSxtkmej1etq1a9dgu0mTJpGens62bdsAdZj02LFj8fDwOOlxkpKSMJvN+Pn5YTQanf8yMjIaDA2LiorCZDI5X4eEhDiHBx85cgSr1Ur37t2d6319fWnRooXzdUpKCi4uLg3a+Pn50aJFC1JSUs54PU48T0mSCA4Odh4/KSmJ9PR0TCaTs/++vr5YLJYG53A6u3fvZuTIkURERGAymejfvz9Ao5/zqSQmJhIWFkbz5s1Puj4pKYl58+Y1uMbDhg1DlmUyMjLO6hiCIFzCyjMbZyj+XX2l2u4COPEeqdVq8fPzo23bts5lx7PvTzWtw/FMxdPp3Llzg9cpKSn07NkT6YRpZXr37o3ZbCYnJ4ejR49is9no1q2bc72Xl1eDZ8PZOJtn8OkkJibSt2/fkxbnqqmp4ciRI0yZMqXB/fmll1466+eHIAiiUMu/VsURBVdvMPhdnoE3ravE0Nnapu5GkzO6eBLiGk6do5YaqhkUMBIPrYktZWvI8iul3N3M5qI1FNhyya7LJMbj5B94BOFyl7w1G40WKopq8PB2xWK2EdUqiGPJRdhsDnLzNORnu6IcSwMgP6OMwDBvXN1FBdhLQXHdGT6MnWO7s2UwGE67fuvWrYwfP57p06czbNgwvLy8WLRo0UnnDDxfMjMzGTFiBPfccw8vv/wyvr6+bNq0iSlTpmC1WnF3d3f2XfrbHKGBgYGMHDmSuXPnEh0dzYoVK1i/fv0pj2U2mwkJCTlpG29vb+f///3DmCRJyLL8j8/xXJ3u+Gazmc6dO7NgwYJG2wUEBJxx3zU1NQwbNoxhw4axYMECAgICyMrKYtiwYWc9fPpM7yOz2cx//vMf7r///kbrIiIizuoYgiBcwqxV57fdOTrZPfLEZcefFae6b5/pHgac8supC+l8PINPd27H5yqeOXNmgy+9AOf0FYIgnJkIKv6LFOxQyPlDQbaDOU8htI9Ei7HqQ6Y6WyZvK7QYq6HkgILNDCE9Ls+A47/Nvupd1NiraefVBbtiZ37OJ4wPu4t89xxqC4qRiusp9i+g0JIjgorCFSnzYCGyQ8bTz0hVaQ0g4R1kxGZzENM+mCN78zCX1+Hl70FFkVoYoaqkFk9fdxFUvEQEGM6uOvLZtjtb8fHxGAwG1qxZw5133tlo/ZYtW4iMjOTpp592Ljt27FijdllZWeTl5dGsWTMAtm3bhkajOeeMDFCz5mRZ5u2333ZWc/7222/Pevs777yTcePGERYWRmxsLL179z5l206dOlFQUICLiwtRUVHn3FeA2NhYdDod27dvdwbIysvLSUtLc2b8JSQkYLfb2b59O7169QKgtLSU1NRUWrVqBaiZlyfO33W2OnXqxOLFiwkMDMTT0/Octz906BClpaW89tprhIeHA7Br165z2ke7du3IyckhLS3tpNmKnTp1Ijk5mbi4uHPunyAIlwH9Wd57zrbdRdauXTvWrFnD9OnTz3qbhIQEfvjhBxRFcQYtN2/ejMlkIiwsDB8fH3Q6HTt37nQ+GyorK0lLS6Nfv35ndYyzfQafTrt27fjyyy+x2WyNgq9BQUE0a9aMo0ePMn78+HParyAIfxHDn/8FKo8qZKyQcQ+CqkwFF3eFbk9oaH6jxIZHHByY62D9Iwr7PlXYP8dB9jqZo8tltr7gIHuDg9RvHVirrvyCJ5er4UGjuTF0Ip28e+KvD2RE0FiK6gtZU7yMVLcjbPTbTbxHK1LM+8mvy0Z2yMjKxcswEYQLLSDMi7iOzdDqNBiMrrgbXSnLr8YrwIMjSQWUF1YT0z6E8BZq1pKkAYfdgZf/xf/WXTi5LkFxBLt7c6qvsiQg2MOHLkHnNyjj5ubGE088weOPP85XX33FkSNH2LZtG7NnzwbUoGNWVhaLFi3iyJEjfPDBB/z0008n3c/EiRNJSkpi48aN3H///YwdO5bg4OBz7lNcXBw2m40PP/yQo0ePMn/+fD777LOz3n7YsGF4enry0ksvcccdd5y27eDBg+nZsyfXX389q1atIjMzky1btvD000+fdWDNaDQyZcoUHnvsMdauXcuBAweYNGmSMyAK6nUcNWoUU6dOZdOmTSQlJXHbbbcRGhrKqFGjAHWItdlsZs2aNZSUlJyyoMDfjR8/Hn9/f0aNGsXGjRvJyMhg/fr13H///eTk5Jxx+4iICPR6vfN6L126lBdffPGsjn1c//796devHzfeeCOrV68mIyODFStWsHLlSkCtXrplyxamTZtGYmIihw8f5ueffxaFWgThSuETBa5n+NLL1Uttdwl66qmn2LlzJ/feey/79u3j0KFDfPrpp5SUnLrw47333kt2djb33Xcfhw4d4ueff+b555/n4YcfRqPRYDKZmDhxIo899hjr1q3j4MGDTJkyBY1G0yjL/lTO9hl8OtOmTaOqqopbbrmFXbt2cfjwYebPn++cnmT69Om8+uqrfPDBB6SlpbF//37mzp3LO++8c07HEYR/MxFU/Bco2C1zaIHC4e9l6srAKxqqsxRyN6vZiPZacNQBGsjdAkd/AY0GcjbAzldh/xeQuUoEFS8VB6r28FvRXw9Uk4sXJhf1m09Jkghya4aXzpuWpnbotK508epNsbUAd60Huwr/YN2h71lbuKypui8I55WlxorO1QVPX3dQFNr0iSKmXTBGHzd0ehciEgLoNCSeuup6jiUX4htiRJERAcVLjFaj4f+6jwVoFFg8/vr/uo1Bqzn/f7Y8++yzPPLIIzz33HMkJCRw8803O+eduu6663jooYeYNm0aHTp0YMuWLTz77LON9hEXF8cNN9zANddcw9ChQ2nXrh2ffPLJP+pP+/bteeedd3j99ddp06YNCxYs4NVXXz3r7TUaDZMmTcLhcDBhwoTTtpUkieXLl9OvXz/uuOMOmjdvzi233MKxY8caVMA+kzfffJO+ffsycuRIBg8eTJ8+fRrNvzV37lw6d+7MiBEj6NmzJ4qisHz5cmfmSK9evbj77ru5+eabCQgI4I033jirY7u7u/PHH38QERHBDTfcQEJCAlOmTMFisZxV5mJAQADz5s3ju+++o1WrVrz22mu89dZbZ33ux/3www907dqVcePG0apVKx5//HFn5mW7du3YsGEDaWlp9O3bl44dO/Lcc885M1sFQbjMSRpoMeL0bVqMUNtdgpo3b86qVatISkqiW7du9OzZk59//hkXl1MPagwNDWX58uXs2LGD9u3bc/fddzNlyhSeeeYZZ5t33nmHnj17MmLECAYPHkzv3r1JSEjAzc3trPp1ts/g0/Hz82Pt2rWYzWb69+9P586dmTlzpvPZc+eddzJr1izmzp1L27Zt6d+/P/PmzSM6OvqcjiMI/2aSoigXPVpUVVWFl5cXlZWV/2ioinD2KtIVfr9bRpFB5w56H6gvBVdfqCuC4fMlMn6FFmNh3UMK1kq4eqEaaFw1WSGgE9TkQW0htL9HImKghuosBVOEGBp9sSVW7sBH54efPpBah5lA15DTtk83p7Ch5DcGB1xHpEcMZdZiVhUupVVxBCHlngQM6n7a7S8n9qp6HJX1uHi5Yq+yog81nvW3oMLlLXVnDgajnoiEQGqr6zFX1BEY7k11aS2uHjr0bjpqq+s5drAQ32YmjiTmIwFxHZsREO7d1N2/7Fzo5/eqzL28sv3bBkVbgj18+L9uYxga1fG8H+98eOGFF1iyZAmJiYlN3RWnKVOmUFxczNKlS5u6K4IgCP8eRQcgdVnDoi2uXmpAMbBN0/XrElFTU0NoaChvv/02U6ZMaeruCIJwnog5FS8T1TkKpjA1SJK3WcGvDbh6/RU0KT+sYPCHQwsVIgdL+LRQ15kiFAZ9rGHPhzKSAhVHQZHBvx2UHoAdryi4uMP+OdByHCTPhdoC2PK8gt4TujykYfvLMuWpkL5UoVlPhVV3ygz8WMIn/tL8tu1KpSgKVkc9RhcTGiS2lK2lh88ANJKGSls5LpILHi5/VeeMdI/D3WUT07fNJ8q9Bc/1vIWxfrdjTTuCS6sQHIqDdcXL6eE7AOMJ211O7GUWyr9Pw1Zah2KXUWrtoIA+zovAO9udeQfCZa95l1By0orZ9VsaXoEeyDYZa52drJQiQuP9iWwVSO7hEjy83QgI9UKr1XAsuYiyQjOe/h64GsScipeSoVEdGRTRnl2F6RTXVRJg8KJLUNwFyVC8ElVWVrJ//34WLlwoAoqCIAgXW2AbCGilVnm2VqlzKPpEXbIZihfa3r17OXToEN26daOyspIZM2YAOKe9EAThyiCCipewkgMKFUdkCndA3hYY+YMGvRfsnyXjGQ3GZuDmI+EdJ5E8Xya0j4TOCBq9uv3+WQ4OLQCvOIXKo6DzgKirIWMZlKeB7ICSAxDQUR3yHNwNoq6RSFviYHdQHg88EYaLQaJkP7j6QE0ubPo/mcihkPoN9Hiuaa/Pv4FDcaAoMha5jmN16dhkG9WOShyKg1q7mVJrMZm1hzlWm06YIZoevuqk+LIio9PoGBs6me6mIqQ/ZzrYWZnJQs0m3g+ZSrr5ENl1R2lr73zZBhUlvQaNSY9WUrAd+auinueQqKbrlHBRSZJEQLg3BqMbBqMOW72DktwqOg6KxWB0BSA0zg+NVkPhsQqyU4sIjvKlpsqC3eoQQcVLkFajoXuIKCr1T4waNYodO3Zw9913M2TIkKbujiAIwr+PpAHfmKbuxSXjrbfeIjU1Fb1eT+fOndm4cSP+/v5N3S1BEM4jMfy5iTjqFex14OqtZhQqikLZIYW97ykM/ERDdabCzjcVytU5ZIkeAe7+EoGdJP54XEa2Qdv/QF0ByDLkbVWDhsNma9X9OdSMwqpM8AgFS4kabHTYweALNQUQ1h9y1qJOWKVAywnQ9g4tJdUWxs3czoKp3Qk0uZH4kczRZQpRw8FhhfgbJRQHgKQWfzkGAe3EUNPzqcpWQVbdUWodNZTbSvHXB3GkJpkwt2hyLJlU2srp6NWDxMrt6CRXvHTexHkkEOeRwM6KjZTZShgVcmuj/eaaS9mWl0qfiCg8tCaSqnaQXXsUo8aLAUHDMbp4IlfVodTb0QaYkCtqkQGltBqX6EAkzaX3c855eqP6Hrarr/3vaYdb5PmtECtc2ipLaqivs5G+J4/OQ+LJPFiAXzMv/EM9cdhl9q49QqueESRvzcLk60ZlcS2dB8eh1WmbuuuXHfH8FgRBEARBEAThOJGp2EQO/6BQuEuh75saNFqJ3W8pSFqF5mMk9s9UyFim4LCCexB4x0Nob4nKDIW6Erh2May+C6qOql+GxY7ScORnGfc2sOkpB31e1VK4B/zbglcsuPtDSTL4xEP2BnUuRWTwaQE568AYBq6ekLoAWt6sYJJdWXJrP5Rq2Py6gzxTFX1eMRHcQYu9TmHT/ylIGpDtCvE3ajj8vczAj8SH8/9VmbWY1cW/cFOzieRbckiq3MFNzSZRbC1gVdHP2BQrsizj7mKigjI8tJ7oJD0WpQ6rxUJtXSXbytfjpjUwPHA0dY5a7IoNk8tfAbZQox+j43swJ+t9XDVuXF85lFb53rjIGiq9y9WgYkUtcnE1juwy5KIq0EpgV5BzK9H3jEW6hAIxiqI4A4oaPzfkino0enFb+7cozCon80Ah3gEe1FbV4xNkxEWnobqsjuBoXwDyjpRgt9px2B10HhxHyvZs7FYHyqUXHxcEQRAEQRAEQbisiE/fF9mx1TJ6k0T0CPBrI7FkhEzCbeqw5fgbNbgHSsiyg4TbwDMGNj8NPWdIFGyHgu1qIC+svwZTmExgR9jxGiTcptCsj1pQpSoDavIVdB7gFS0R0EFh9VTo86pEcFcNJfscWCsBBdK+hTaTwTNCQuelkPErHF0ms+9zCGgLPV/QYLfBzp1VaDxk5Ee80bqDYoPoayFyiAY3X0RA8Tyod1gwuXhh1JrYUraW1OoDalXOou/p4t0bH50vJdYizI5q3F1MBOiCsTpq0KAFFGRJoVqqIUQXSr4tl4yadPyztJS6V9Ol+VAUWcFxpAg8XFGqLEyIuhuLth53Vw0ZShEZbtkMdLkey8r9uLQJQxPoif1gLiiAIoFOQnHIKIrSqDJrU7GV1lL4zh5QQHLX4jUoAkOCHxqDuK1d6WSHTOK6o0haCYdNRtJqqDNbCYryQeOiIbJ1ECYfA5UlNUhIyA6Fo/vy0bpoqSqpRaOV1Pe2IAiCIAiCIAiC8I/9O2eNbQLFSQr2OgVrNVRlK/xyo4KLu0Job/BtCSgKpQfUT7lRQ7VkrIBDC0GjBXutgrs/dPs/iBiohnTsdXD4Rxj+pQaPEA2RgyUspeDiDqXJCn6tJOJGa8j6XcK/DVjKFDY/46D3Sxq0etD7gsMG6T9ByUGF5C8ha40aaNS4QLO+kL9doXQ/dKsKpWtrb9CCoxaM4WqG5NppMsvHyZSnyiR9IpO/TXxKP1t1jhoAfsj9koVZX7Ag+zP2Vm6nj+9gmhtb48COrMjEuScQbojGU+dDmFsUDhx463ypdJSTb83DqDMR6RajZutJUGDLB2BP1VYyyMTNTZ0rsaK+BEdlLSgKjuxS5K3HMGFCMrkRnGugZ8hgtK56cNPhKKxELq5GE+YDgOTjjkvzENyuanlJZQHKNhmtrxtBj3bBLdYHfbhJBBT/JRwOGa1OQ4tuYfgEGamtrCOhRwQhMb7qHIthXigKHNqeTU1VPcGxPlgqqqgurQXARa9FcwkO5RcEQRAEQRAEQbicnPOcinV1dezevRtfX19atWrVYJ3FYuHbb79lwoQJp93Hv3FOpuW3OtCZwCsKJK1aIKW+HAI7QNcnNWx9QaYyE656TyJ1kYKrLxj8Yc+7qPmkDmh7J6R8DaN+1uCwgrUSPEL+nJNRVrBWK6R8DW2nSmj1fy1XFHVOxay1agZjUGcJj2DY9baMpRQs5ep8i6ZwNWjp30bi8E8yad+DrRp07mCrUzMUJZ0adGx1O9QWwrFV4JugzutYdRQ6PQx+LTW4B4kP7CcjKzJbytZysHovk8LvY2H2F1ipx9PFG7O9mkDXEAb4DWdx3myuDRxDlb2S9NoUWhnbY9B6sLpoKTeGTqBetlBnr2V50Xd08OyOVnJhd+UWvLTeSJKE2VFFjHtLYj1aEO4ezcKcL+jhM4AYj+bUH8hBKaymsJuOLZXruMV/EpKbDmtZFRqrAooC9XZcoi69SZTtpXXUZ1eBAopVpuKXIwRMjgdqqfr1VwLum9bUXbyiWGqsaHUadHoXHHYHDruM3q3pC5s47DK5h0sIa+5PRUktNouNoEifRu2s9TYykgqw1FgxVB2gTBMH1lr8Y0Ix+Ro4llxEt6tbNMEZXL7+jc9vQRAEQRAEQRBO7pwyFdPS0khISKBfv360bduW/v37k5+f71xfWVnJHXfccd47eblKXSSz+WkH5jyFaxZqiRgk0awP5G6CoE7Q+VGJXi9q0XlIFCWCbIV1DyiYc8EUBg4LDPgQcEBId6hIh4jBoHGR0LlLzoBidZbCT9fKaLQSHf6rofQgVB2TOTBHxloNGq2Ee5BaVMVSDsZQCUVWhz3XlUFdqRogbHeXhuCuGlwMEs1v1BDUGRS7WtCl86OABN2fhi6PSRxZBkVJ4Oqt9imoM9hqIOljWD5ebsKrfmnbWbGJg9WJeGl9WFH4A5JGIkAfTG+fQfTyGUgX715sKluNgkKBNY9jdelEu8cTa2yJTuOCRanlsDkZN42BMPdIbg6dQhef3rT36sJ1wTczIOBq+voPQSu5cLgmGUmSWFW0hAF+V5NZm87a4uXo44MpSlCoUcwMDLgWyU1HZm06m7NXUFqSBZJ0SY4MlS12ShenUr44jfIl6WgMWgyt/cm+awLmtWuwl5Y0dRevGLKskLIti8OJeeSkqtd1z+/p7F51mPIis7Odw+ZAdlz83/c6cz3lhWYkjUTRsXJkx8nfseYyC7XmeupqrNT5tEWRZQIrV1GaX4mrux7vAI+L3HNBEARBEARBEIQrxzkFFZ944gnatGlDUVERqampmEwmevfuTVZW1oXq32XJblHY/rIDBQVLGay4TWb7yw4sZWCrBcUB/h1gz7sKv97iAGDwZxLesWqlZmst5G6ElAVgCpUY9KlEqwkSBj8I6984A9AYBn1f16AzShz6Rmb/bJnUb9Vq0sVJCtlr1aHJxXvVIi0H5jnY+abM/lkKVRngYlAzKJPnKVRnKywb66AsVaZ4L0iucPQX2PcpdH0CbNUSVRlqYZfqTAjpBdFXa2k5TkPkUKgrBs9okG2XYliq6VXb1Aktqx1VGLTu6CQ9QwOvZ23pclJr9uOuNdLC2BaT1ptauxkvnS8tjG0BMGo9GRYwmlzLMYrq1WB+Ru1h1peswEWjI9gtjCC3ZgS6htDRqwfDg27gWO0RNGhIrk7iWG06+ZZskur2sNGxEatST5BrMwDCDdEEh8QiW+0U56SzwbaW5OrEJrpKJ2crrcNWUAMKaFxdKP/5KO4dAgh46DlK584j6IknmrqLlxVZVpDlk/+e2uvtVBbX4G5yxVxRB0Bk6yCMPgayDxU526Un5rNvYwal+VWYK+rITi2+oH1WFAVLrZX6OhsuOg2SJNGyWzghMb4nbe8bYqLjwDgSukfg7qHHP9wXa5sJoEhkJRcS1TrogvZXEARBEARBEAThSnZOQcUtW7bw6quv4u/vT1xcHL/88gvDhg2jb9++HD169EL18bKjyOrw5vytUJYGAR3UTMC07xXcfCS6PyOx+w1od7e6vOyQjHeshrgbJQLaq1mKtYUQNQz+eEzBt7mGoj2Q9gMcmN04CCBpJOqKFfbPclByQMHNByxlEDdaQ94myNmoULhbQXJRSLgNCvdA1u/Q/224fpkGn3gJv7bQYZqEq7dCq4kS1cfUrEb9n4k87kFQuBv2fqDg6gmDPtbQrDdUpKnrHfVQsAOQwCcOMVvnSTgUB+GGaLxdfHGVXOnpexWKovBd7lz6+g7BptjYUraGjNrD1Mu15FqOcbQmlf2Vu0ms3MHXOZ8R6R7LiOCxRHvEA5BZm061vbLBcW5e9ha7cgt4bONnrM/di12xU1Sfh12x099/OFX2Cvz0gbT37EZa9UEqbOWsK1lOnEcrahzVpITk0SqkO6FukU1xmU5J66EDhwxaCa2nHo1eQ+mXyViOutHs1VfQGAxN3cVLzvEgXE2VBUuN1bncUmslZVsWR5LyT7qd3qCjx8gEYtoG07qX+j4IDPemeZewBoE4vzBPLGYrx5KLKM2rwmGTcdgvXOZiVWktiWuP4uaux2By5Uhi3tltV15LWaEZ32ATLbuF06ZvFD6BRrQ6LYr8V6BSEC4XkiSxZMmSpu6GIJyzAQMG8OCDDzZ1NwRBuEAyMzORJInExMQLdoy/30eioqJ47733LtjxBEE4vXOqalBXV4eLy1+bSJLEp59+yrRp0+jfvz8LFy487x283DisCooDhnyuYfvLMh3ulYgcBsvGKPi1BP82UJUJLW6RSP9RIagL2OskFFlh2wwF2QrDv4ai3RIeIQr52+C7wQ7824BHM4gaLpG9VkbvJRHUWaJgh4LeEw7MUZAVdQh1aE+JluMlPIIlbDUKOevVas2JH8LyWxW8YtVhy3s/gbiRMj2f/6t6c8ZPCvlbFPq8pqE6V6EqR6FgM0RfDYEdIfY6Cf82asSw13R1bkeAwz8odH1SQm8E35Yiongyuyu2srdyK24aA+PCp6LXuHJr+F0cqNqDl86HIQEjWVW4FDetHR+dP3EeCeyu3EpGbSqxHq2IN7ZGkhpmqga7NiPavXmDZS/0HEeQ0ZO8mgK6+zVncFA/6h0WFubMJKUqkcy6IwS6BvNT3tdUOcqxyTbcNe5IfnqSmmWg07jiViVxRN5Hp7D+AMg19dh2ZaLrGYucXYY20g/J5eJW/a5clQmKhGTQogszglWm+shiFGsMQffddlH7cikryatCcSgEhHtRVVJL8tYsvIM8kB0KejcXtFoNHj5uWOtsVJXWEhLtg9G7YUA2J7WY2up69G4uRLUJdi4vzCzHw9uNkrwqaist5B4pBUUhtn0Ibu56ctNL2PVbGnEdm+HX7PzPt+fl70HnIXHoXF0Ijvbl6L58UnflYPR2IzSu8RygskOmJLcKF50GDy83Unfm4FMfT5VbNnFdgtC6aMhJLaYwqwKTj4HmXcLOe58FAdQPPA8++KAIplxm1q9fz1VXXUV5eTne3t5N3R1BEARBEIRLzjkFFVu2bMmuXbtISEhosPyjjz4C4Lrrrjt/PbtMLRsj49NSLcbb4zkNOg81CDRqiYJGD1lrZQ7Mgp7Pq9Wbuz0lkbtJUTcAtO5QnaUhYjDsegPCByskz1GrPdfmqYVXaoskMn6TSZkPsgMiBkkM/Fhi5+sKBdvAEKBgzoGC7QqWSoWaAtj5ukKbyRLB3aD5GInaQtj7kUxZKsSMgPoKhbzNCs1vlIgdKeHiJiFbZSrTwDMK9n6gZlwOeFuD7FDY866MOQ/6vaEh5w+F7LUKYX016D1h74dqMFXSimItJ4p1b0Fi5Tb1Z+ioYWf5ZmI9WnDYnExS1Q789UGEuIVSUJ+HTtITa2xJG69OAByq3o+lvrbRPnv4DgCg2l6FrDjw0vnQxl/NLHum651MXPEuQfoIQjw9yCivoGXQVbR0C2Fvfh5G32N09OrBjoo/MMtmNpauotRaTFxNONqySozuQBjU2M24ubnh0jwIJJBLa9CG+sBFDCpWrspE6+MGGlBq7NRnVqL10OMSfhVak46y79LwHByBi4/bRevTpURRFPLSSwmK8sFqsVFVUktttYXIVkF4B3lgq3dg8jVgqbFSll+NzWqnrsaK3lXLsZQimncKxUWvdQat3Yx6ygqr8Q4yOo9RVVpLaUE1Lnot5vI6fIKMxLQNpqygmtoqC17+HkQkBCLLCtmHipxBRUVWsNbbcTWcnwIvOlf1seVucqVZrB9Wix03j5Pv21pvJze9FKOPgerSWjQaCdmzkgjfGPyaqe/f4Bhf3L3dcDXoqCyuQefmgrvJ9bz0VfhnFIeD2l27sRcX4xIQgHuXzkjai/slRlNwOBxIkoRGc2l+MWe1WtHr9U3dDaEJiJ+9IJw9WZEpsORQ66jBXetBsFsYGunSvK+fC3EfEAThVM7pDjd69Gi++eabk6776KOPGDduHOdYTPqKUV+poCgK/d/W4BmlDgXeP0tGkRX+eMxB1hqZijTY9TrINlj/EMSMBHOuwsG5Cns/UIgdCf1ek/AIkbHVyrgHqwVdtG5qkRY3P9j7HpSlKRTuVOdndPODI78obHhYod1d0GoSHJwLm55W2POBQvqP6lDlmGskjKEKkUMk9ryvsOJ2mboSaHOH+haoKYRjqxX2z5LZ/Y5M8gIHLW6RiL8R6qug3T3Q81m1rTlHIXcjVOeolaxtZoX4myQ8oyRkB9hruSQLfTQ1P9cARoXcyqSo+/DW+eLhYkSn0XN9s1u5IWQCgwNGcqjmAA4cuGhcMGjdnduGGaJo79WNKlsFKwp/wKE4Guz7QNUe9lZua3TMkbHdaGb0xd81gHvi/ouX0cG6olVsKtzGsMDrsTnq8depw1lTq5Ox1UKpthwp3Iv41j0BWFrwDfurd3PUkIN1UzouCSGgd8G64yiyuf4CXjFQ6m3U7MzHvDEX85psNIHqNXGUWNC4ueDi5YE+zBeNmxZJI+GosmIrqMFRVU/l78co++kwtoIaKldlUruvGOUUBT0uZw6bg5TtWWSnFWO12Kkz12OzOqivs6MoCmHxAZjL61BkhYBQLzRaCZOfOxEtA1BkBdkus3ftEXauTKOsoBoAnyATddVWMvcXkp6YR1lhNfW1VvyCjRiMelw99FSW1pKTWoKlxkbu4VLKC6tJXHeUoqwK6sxW6v58b5TmV7N/YyYOu4OSXHWo/pHEPAqPlf/P5+4bbCI4ygfvAONJ17u564nrEEJUq0Bc9FpsVVr8w0yEdPsrQOWi01JeYKYsr5ri3EqqSmr+534J/1zVqlWkDxpM1sSJ5D36KFkTJ5I+aDBVq1ZdsGPKsswbb7xBXFwcrq6uRERE8PLLLzvXZ2dnM3bsWLy9vfH19WXUqFFkZmY610+aNInrr7+et956i5CQEPz8/Pjvf/+LzaYOqR8wYADHjh3joYceQpIkZ/B+3rx5eHt7s3TpUlq1aoWrqytZWVns3LmTIUOG4O/vj5eXF/3792fPnj3ndE4DBgzg/vvv5/HHH8fX15fg4GBeeOGFBm0qKiq48847CQgIwNPTk4EDB5KUlORc/8ILL9ChQwdmzZpFdHQ0bm5ufPHFFzRr1gxZbjjNwahRo5g8ebLz9aeffkpsbCx6vZ4WLVowf/5857qTDY2rqKhAkiTWr18PQHl5OePHjycgIACDwUB8fDxz58495fl+//33tG3bFoPBgJ+fH4MHD6ampoY//vgDnU5HQUFBg/YPPvggffv2BeDYsWOMHDkSHx8fPDw8aN26NcuXLyczM5OrrroKAB8fHyRJYtKkSYD6nnn11VeJjo7GYDDQvn17vv/+e+f+169fjyRJ/Pbbb3Ts2BGDwcDAgQMpKipixYoVJCQk4Onpya233kptbeMvDI87/h5ZtmwZLVq0wN3dnZtuuona2lq+/PJLoqKi8PHx4f7778fh+Ovvgvnz59OlSxdMJhPBwcHceuutFBUVNdj3wYMHGTFiBJ6enphMJvr27cuRI0eAv97TL7/8Ms2aNaNFixYA7N+/n4EDBzqv81133YXZ/FfxruPbTZ8+3fm+uvvuu7FarQ2OLcvyad+b77zzDm3btsXDw4Pw8HDuvffeBscBmDlzJuHh4bi7uzN69GjeeeedRtmkP//8M506dcLNzY2YmBimT5+O3W4/5fUWhP/V0Zo0FuZ8zi+Fi1lTsoxfChezMOdzjtakXbBjDhgwgPvuu48HH3wQHx8fgoKCmDlzJjU1Ndxxxx2YTCbi4uJYsWKFc5vj95YTLVmypMGIqJM9AwBWrlxJnz598Pb2xs/PjxEjRjjvHWervr6eJ554gvDwcFxdXYmLi2P27NnO9QcOHODqq6/GaDQSFBTE7bffTkmJKMgoCJeqcwoqPvXUUyxfvvyU6z/55JNGf2j+W/x2h8zKiTJlhxTaTNIQ0hu0OjWAWJ0Nh38C7zgY+KGGITMlHPWQuxlC+2hpPQnCB0o4rGrwcPWdsP5+aPcfiZz1EhodSBLYLaD3hsqjgAJ+rdWCLrWF4LDCmnuhWW9ofgtEDFSDkQZ/SPtOAUlh5e2w4nbZOUS7OhvcfNWHh28LiQHvaalIh+y1cHAWpCxQ8GsN9WVqcZmqTPVcD8xRh20HdYbaAkj6TME9QN2Pe4CEf7s/51cUGjleGOVIzSFaGFuzpWwtJdYifi9eyvysmRSUy7Tz7ExHr+58lfUxpfXqhwCji4kQtzD0GleCXJuh+duvbhfvXvT1G9roeDc1742fQc0YCzH6kmBsR7iXJ1M79kZWZJLN+4jzSOCmkElYKyJYcqgAs3s9a1z/QDKo30aOCrkVT503Oys3kacrJMWezLd5c9jvkU7u4f3YCysbHfd/5aioxWG2ULc5g/rDpbhEmACQ8/4M+GjBcrAUdBqUegfeI2PBRUPx7P2UfJ1Mwbt7cFRZqd1RQOF7e6hem035knQcFZbz3temlp1WjMMmExrnT96RUgozKlAcMnarHdmhYLPaiWodSHmRmcyDBUS2CqJZjB9aFy0BET6Yy+vQ6jTYbQ48/dSgraIoBIR5EdkmCBedluyUYo4k5VOcW0VBRhmFx8opzqogMNKb6LZBdB4aT2leFV7+7qCAosDeNUeoM9fj18xE+/7RHNh8jKP7CnA4ZLwCPKitvrABaQC71cGBTcew1FjRaDW4yp7oXRt/yx7bPoTwlgHEdWhGcPTJi74IF17VqlXkPvAg9r8FgOyFheQ+8OAFCyw+9dRTvPbaazz77LMkJyezcOFCgoLUL1tsNhvDhg3DZDKxceNGNm/ejNFoZPjw4Q0CJevWrePIkSOsW7eOL7/8knnz5jFv3jwAfvzxR8LCwpgxYwb5+fnk5/81l2ltbS2vv/46s2bN4uDBgwQGBlJdXc3EiRPZtGkT27ZtIz4+nmuuuYbq6upzOq8vv/wSDw8Ptm/fzhtvvMGMGTNYvXq1c/2YMWOcQa7du3fTqVMnBg0aRFlZmbNNeno6P/zwAz/++COJiYmMGTOG0tJS1q1b52xTVlbGypUrGT9+PAA//fQTDzzwAI888ggHDhzgP//5D3fccUeDbc7k+M9ixYoVpKSk8Omnn+Lv33iKA4D8/HzGjRvH5MmTSUlJYf369dxwww0oikK/fv2IiYlpENS02WwsWLDAGQT973//S319PX/88Qf79+/n9ddfx2g0Eh4ezg8//ABAamoq+fn5vP/++wC8+uqrfPXVV3z22WccPHiQhx56iNtuu40NGzY06NsLL7zARx99xJYtW5zB6ffee4+FCxfy66+/smrVKj788MPTXova2lo++OADFi1axMqVK1m/fj2jR49m+fLlLF++nPnz5/P55583CGrabDZefPFFkpKSWLJkCZmZmc6AKEBubi79+vXD1dWVtWvXsnv3biZPntwg4LZmzRpSU1NZvXo1y5Yto6amhmHDhuHj48POnTv57rvv+P3335k2bVqD/q5Zs8b5c/jmm2/48ccfmT59eoM2Z3pvajQaPvjgAw4ePMiXX37J2rVrefzxx53rN2/ezN13380DDzxAYmIiQ4YMafBFAMDGjRuZMGECDzzwAMnJyXz++efMmzevUTtBOF+O1qSxuvhnahwNA+A1DjOri3++oIHFL7/8En9/f3bs2MF9993HPffcw5gxY+jVqxd79uxh6NCh3H777af9EuNk/v4MAKipqeHhhx9m165drFmzBo1Gw+jRo88pBjBhwgS++eYbPvjgA1JSUvj8888xGtUviCsqKhg4cCAdO3Zk165drFy5ksLCQsaOHXtOfRcE4eI5p+HPoH7DvHr1aqxWK/3796dNmzYXol+XnUGfaEj+UibzN4XoayX6vKQld6NCXYmCeyBUHoH9c2Ta3qnBWiURc51yfMQzkUMkVk5U6PE8eEZKoFWIGAJHlyrYaqDf6xIlByD9JwWdEbyiwZyjBvm0OrVISm0R6Ayw9r8QMRjKDkHLWySiR0BdkUJxkoR3S7Uv3tFQ2RKihoDsUND8OUzZalYoOwQBnaFoJ+Rugpo8aHGzWoV670cyQ2dp6fGcBklSC8Qc/lEmuAsEd1P3kb1eIXOlQvwNYujziTaV/k6oWwTBbmG4atxIrk6kzl5LtHtzPF286ODVnU15iaxJ287zHTuxq2wrCvBH6Sq6+vRFr9ET6BqCm9ZAJ++ejfb/e/EvBOiD6eLTG0VRnN807izfRJBrMyLcY6i0qZlhDkXm94xDZASnoZVcOGTeT3ptCjHBBm4zRDE6tTc7vTJAjX/irvUgxqMFdsVOQLMwfilYRLWjihSTlZzaHFrm1RLi2w5Pnfc5XZPSOXPxHDYUrcGbrCo7Rl8D/p566rcfRSmrQfI2YE6vw1FpJeiBjpT/lI7lUDl+4xNwVNVT/n0anv3D0XrqcdTYKHx3N1p/A17DIqn4KR0X/xPmCXSB4Ic6ozVdecM2jF4G/EI80bpoyTiQj9ZFg7nCgs5VS3FOBRWFZjRaDS46LTU1NuxWBxkHCijLq8Lg6UpoiwACQj2pqbTgolMz+KrL66gsqcFmtWP0NuDh5YbOTYvN6sBmlXFYHfiHeuHh5YpGo6E0r4qQWD9ku0xJTiUKagZgcW4VOp2WkBhfYtoGI0mSOqejlxuFx8o5tD2bkFhfvPw9kGUFjeb83jdc9FqMPm4oCvgEGwnu5o27l7g3XYoUh4PCV15VI9KNViogSRS+8iqmQYPO61Do6upq3n//fT766CMmTpwIQGxsLH369AFg8eLFyLLMrFmznPfVuXPn4u3tzfr16xk6VP0yx8fHh48++gitVkvLli259tprWbNmDVOnTsXX1xetVuvMGjuRzWbjk08+oX379s5lAwcObNDmiy++wNvbmw0bNjBixIizPrd27drx/PPPAxAfH89HH33EmjVrGDJkCJs2bWLHjh0UFRXh6qoO93/rrbdYsmQJ33//PXfddRegDnf76quvCAgIcO736quvZuHChQwaNAhQswT9/f2dWX1vvfUWkyZN4t577wXg4YcfZtu2bbz11lvONmeSlZVFx44d6dKlC6DOSXkq+fn52O12brjhBiIj1ek/2rZt61w/ZcoU5s6dy2OPPQbAL7/8gsVicX5AzcrK4sYbb3RuExMT49zW11f9kiEwMNCZ1VNfX88rr7zC77//Ts+ePZ3bbNq0ic8//5z+/fs7t3/ppZfo3bu3sx9PPfUUR44ccR7jpptuYt26dTzxxBOnPD+bzebM/Dy+zfz58yksLMRoNNKqVSuuuuoq1q1bx8033wzQIGs0JiaGDz74gK5du2I2mzEajXz88cd4eXmxaNEidDp1+ojmzRvOz+zh4cGsWbOcwx1nzpyJxWLhq6++wsNDreL30UcfMXLkSF5//XVnIF6v1zNnzhzc3d1p3bo1M2bM4LHHHuPFF190Du0/3XsTaFSA4aWXXuLuu+/mk08+AeDDDz/k6quv5tFHH3X2fcuWLSxbtsy53fTp03nyySedv9cxMTG8+OKLPP74485jC8L5IisyW8rWnLbNlrK1RLnHXZCh0O3bt+eZZ54B/vqizN/fn6lTpwLw3HPP8emnn7Jv3z569Ohx1vs92TPgxhtvbNBmzpw5BAQEkJycfFZxgbS0NL799ltWr17N4MGDgYb33Y8++oiOHTvyyiuvNDhGeHg4aWlpje5VgiA0vXO6q61bt47WrVvzn//8h/vuu49OnTrx9ddfX6i+XTZsNQq//0fGGA7Vx2D32zL522VSF8scWw2lyWCvh9SFsOU5mT3vyrjoodOD6gejbS8ruBhg15tgKVeIHQE+8RoK9yjY68A3QYN7MNSVqMVS4m+U0LiA1QzR14BGBxotdPivhJsvtLpdostjEkd+VjgwU2HNPdD8JgmdAcpTwJwvEd5PInke7Hpdza5M+kTGUqZmJhYnQrt74eqvJVqMkyg5CKF9NAydpfZXo5WQNBKbn3GgyGqV6coM9YOgKVx9HdZffHA/UbBrKMfqjvBd7lwOViXiUBxsKV+HQ7Fjla2EuIUT4Knlh+sfZkX2Wn7NWcuI4LF463zJs2RRWH/6Krc9fQbQzqsrAItyZ7GvcicAHi5GXDVuVNkqWJw7G4dsp7lHO7r49qS/31CGBIxgeNANxLi3IM+ahc1gZa9fGvY6U4P9y4pMc2Nr9lRupZN3L3r7DCLcEM3AkOupCoWU6iQOVe8/ad+Ka3LZsOVzFEfDIduWA/uxl1dgzy5DV1WLQ1bfQ9pwHzRBnui7x+J3awJB93dCrrLhe1NzvK+LxaVkLe6V8wjpvwNDKz/0YSY07i54j4rDf0IryuYl4397K+yFNeCqxb1fM0Kn97kiA4qyrOATbMLd0w1Xdx1RrYORHeo3xbZ6BzlppSgKuHroCInxxWDU4+KqpTirApO/O5XFtdRWWSjLr8Y3WP2Z19fZOLQ9m9a9I9EbdGQdKsJSU4+11oYE+AR6kNAjguqKOo4k5pNzuJjDe/NIWneUo/sK0Lu64O7pit3qIDe1GBSFLT8nk5NWytF9+X8OgZZo1TMSu81B9iG1cvTeNekX5Bq17RuNpJEozKxAlq+84e9XitpduxtlKDagKNgLCqjdtfu8HjclJYX6+npngOzvkpKSSE9Px2QyYTQaMRqN+Pr6YrFYGgz3at26NdoTgp0hISGNhpuejF6vp127dg2WFRYWMnXqVOLj4/Hy8sLT0xOz2UxWVtY5ndvf93tin5KSkjCbzfj5+TnPy2g0kpGR0eC8IiMjG3yYBBg/fjw//PAD9fVqtvGCBQu45ZZbnAGjlJQUZyDtuN69e5OSknLWfb/nnntYtGgRHTp04PHHH2fLli2nbNu+fXsGDRpE27ZtGTNmDDNnzqS8/K/pFSZNmkR6ejrbtqlThMybN4+xY8c6A2P333+/M/j3/PPPs2/fvtP2LT09ndraWoYMGdLg2n311VeNhgCe+DMICgrC3d29wYfnoKCgM75P3N3dnQHF49tERUU5s3pOtp/du3czcuRIIiIiMJlMzkDn8fdQYmIiffv2dQYUT6Zt27YN5k9LSUmhffv2zusG6s9VlmVSU1Ody9q3b4+7+1/Tt/Ts2ROz2Ux2dvZJrws0/n35/fffGTRoEKGhoZhMJm6//XZKS0udWVapqal069atwT7+/jopKYkZM2Y0+BlNnTqV/Pz8c87WEoQzKbDkNMpQ/LsaRzUFlpwLcvwTf6e0Wi1+fn4Nvlw5HvQ/m+fSiU72DDh8+DDjxo0jJiYGT09P55c+Z/uMSkxMRKvVNvgC5kRJSUmsW7euwe9uy5YtAc55mLUgCBfHOWUqPvvsswwZMoRPP/0UNzc3nnnmGR5//HFuu+3fV3k1a41M1hqFmBES7oES3Z/R4BEsU7IPXAyw9wOFumKoyVcIHwK560EGQnpIBLSDrdMVEj+WaX6TROwIiYAOUJYC+VsU8jaDpVTGvz0Ed1aDc2F9NTRboVBxWGHbKwre8VB+WC2UonGV8WsJ+z5XGPCuhHuQRO5GhXZ3w573wNUXvh8kE3u9mt3oGQmxIyU8o9RjKg416ClpJFwMCh5BEDFQQmfQ4NNcofdLJw8QanQSJfsUavLAIwS8oiW8YyW8Y0/a/F/pSE0qXi7eVNkqKK4vRIMWSQItLlwfNI6VxT+RUZuGt4svFruFn/K/Js69FV56N8qtJTQ3tmFj6SpuCbuzwX53lG+kwlbK0MDrybfk8GvBt0S7N2dQ4Aj89AEcqNpLmvkgAwOuxVev/jFwe/i9GLTu9AsYCAFQVJ+Pi+SCl84bF40L/f2GsqHkNw75ZdEtNpLFObMZFjSa7eUbOVZ7mDHN7iDGowVZtUcJdg0jreYgmXXptDZ1xK/SgJvRjbWWXwl1i2Bj2WrGuI3D7WgN9vB6LAeTkVtVo/X2Ri6vRbFYCX3nHRRFQamopZm3O3JRFYqix6WZDzTzwS47+L/dCxhhTyB2o4zvmBY4Kuup3pqJz1VeaCNbOq+HJEm4t1WHxvnd3goXPwO+Y1rgO+bi/aybQvahIiqKa3DYHOjcdASEetIszg+HXcbka8DD04C7pyv7/sjA5OOOf5gXOWklePgYsNXb0Wo16A06slOLMfl54OlrwNWgwyvQg8yDRcS2C6YsvxpzhQXZoeAd4EF2aglGbzeM3m54eLmRlVyExkVDfJdQjiUXUW+x467XonGR0OlcCIn1ozi3Ck9/A8FRoRzYnIm1zobDrtB1eLw6twPQ0qNh0Nduc5CTWkxEQiAarYY6s5XsQ0XEdw5tVAX9xOzck/HwcqNF11CqK+ow+hhO2U5oOvbi4vPa7mwZDKd/P5jNZjp37syCBQsarTvxg9bfgzOSJJ3VUDCDwdDovTtx4kRKS0t5//33iYyMxNXVlZ49ezaal+5MTtcns9lMSEiIcw7DE504z9aJAaTjRo4ciaIo/Prrr3Tt2pWNGzfy7rvvnnW/jgcfT5yD+/j8k8ddffXVHDt2jOXLl7N69WoGDRrEf//7X956661G+9NqtaxevZotW7Y4hxM//fTTbN++nejoaAIDAxk5ciRz584lOjqaFStWNDjvO++8k2HDhjmHI7/66qu8/fbb3HfffSft//G5/X799VdCQ0MbrDue9XnciT8DSZL+0fvkZNucbj/HhykPGzaMBQsWEBAQQFZWFsOGDXO+h870voeT/+zPl9P1PzMzkxEjRnDPPffw8ssv4+vry6ZNm5gyZQpWq7VBwPJ0zGYz06dP54Ybbmi07vjccIJwvtQ6zm4+5rNtd67OdJ84/pw5/num0Wga1UH4+30YTv0MiIyMZObMmc45dtu0aXPWz6izee4ez4D+u5CQkLM6hiAIF9c5BRUPHDjAli1bnL/Qb775Jp9//jmlpaX4+fldkA5eqvzbStQWwbYZCu7BCuFXSVirwMUg0WqihGyTKT0EnuFQtAtkO1zzjYR7gIbk+WqRlPztCp5REDVUQqOT8AiG+ioHjnqoN0PSh8A9Mp6RavbDrjcV8rYoBLSDzg/DitvVQGLFYbU4StwodU7Dve/JlKZA54cl/FopzjkOs9aB3QyFuxWy1yuU7FMLrWSvVfBJgMPfQc/ntaya6iDzN0i4FQ7MVrDXqlWq/67n86dPdK0tVnD1BK3rvzdrcXvZekDCodgxaIwYXTxx07oTb2zNjspNxHu0otJejqvGjV5+nfilYDFZdemMDr+eNSW/cEvoXfTxG0yFrYwKWxlR7nEAyIoDs72aLWVr6erdl2GBo6myV3KwOokoQzzxxtasLlrKltJ1mHRe9PcfhkHrjk22sr5kJX38BnPYnEJm7WHae3Vjf+VuTJKJq/N6gYuWMh8tlbZqMsyHsdhr2J9by76jixjXviUWRy1eLl5cm9mT1aE7CA4II6foIC6aSuqoZnf1Fkx6LzZXr2OgtRNBPnEMm/q+85oodVZkswVtCCjmeqw7M9H3icd2MA+9yYDkrgaXHLLMwdIs/PWudL5u0P+zd95hdtRl+//MnF73tO29Zje9EEISSCC0SJcXBYlSRBQVeEFBX0SaqFgAFVHhB9JRlCpC6CEQUkklZUu2976n15n5/v6YsBBBDBoE8Xyui4vsOXNmnjlz2txzP8+NbZqf2P2DUHQ8HDbt7z7n1hrPR3hEP1kU1waYGI5hdVooqtbb9Dp3DWF3W5FkiZ6mUeYeU8P0xeWM9oUJDkUprvEjBOQWu5ENMumUgsNlweHWT4bTKYVkJI0n18FIXxirw4yvwIXZZiQW0mdSqqpGoDgHJJhzdA09zSMIDaYtrmC4c4KellEMJhmX30br9n7Kp+ZhNBkwGGXMViPxcBKhwUD7OOGxBAVVXnz5LtSMimSQ9ZRmTZBKKpPdsAaDhNVhZmIoislswOV758SyaWMPLr+dktr3n7kmyxJWu5n+1nEKKrwfKEBm+Xgw/o0T4l9d7kCpra3FZrPxyiuv8JWvfOU998+dO5c//elP5OXl4Xa7/+ntmM3m/YI0Poi1a9fy29/+lhNOOAHQg2IO9oD6uXPnMjg4iNFo/MDW4vfDarVy+umn8/DDD9Pa2sqUKVOYO3fu5P0NDQ2sXbt2su0U9H2aOnUq8I4YOzAwwJw5cwD2C215m9zcXM4991zOPfdcjjjiCK688sr3FRVBP2FevHgxixcv5tprr6W8vJwnn3ySb33rW4AuHH7hC1+gpKSE6urq9zgpS0tLueiii7jooou46qqruOuuu7jkkksmnXrvPnbvDtX5e06bj5OmpibGxsb4yU9+QmlpKQCbN2/eb5mZM2dy//33k8lkPtCt+G4aGhq47777iMVik0LD2rVrkWV5MsgFdJdRIpGYFA42bNgwOaPyQNiyZQuapnHLLbdMCtB//vOf91tmypQpvPnmm/vd9rd/z507l+bmZmpqag5ou1my/CvYDQcmwh/och81ubm5RCKR/d7P7/c5/LeMjY3R3NzMXXfdNRl29cYbb3yobc+YMQNN03jttdcm25/fzdy5c3n88cepqKjAaPzQk9qyZMnyMfCh2p/D4fB+g7Ltdjs2m41Q6OAHNXySifYJ1CTUf0Gm4RxITUDb04I3f6Y7ADf+UKPjOag9VSI2qAedHHOHjD1Xf7pb/ixQ0/rjMlHBkydpDG9VWfM9lW2/BHs+VJ8InlrYs2+2uNAExUfoYS3hThjZLiEbQDIK3JUw9CZY/BKZOAQ7IKca1l4tsAWg4jiZZbcZWHCVhMUHg2/CRBNYvFB4GMQGdFGy7Bj9RNtTJdGzSrDpJyrxQcGMC2HHbzVS4fdeTd98s0ao/f1bCtddq9Gx8r+33XAw2YsqVCRJJq7FCKnjRNQg+eYiAqY8BpK9jKfHiCph3opsxiibKLVVIQkLoxFBqa2KlthOELB2bBUd7xrwPJYeocJWS0KNAwKL7OTxzud4c3QTr46tZNXwSoySgVJbFV6Tj4ymX32UJRmn0UV/oodCawnVjnp2hDZikIz0K72sLFzLi/nr2TC+mtUto2wKrcFkMLOwuIa5FSZ2RbYSVCZoj7WgoHL0wHzWj60i6ZMYt4aY1lvM0sh8FvuOJmSJweEVKHv60YLvtBoZijyY6vS5YrLLiuXYqch2M9ZlDcj2d9xqFqOJZ0+/ju+cdDaOuXrbhv+cqQTO/fuC4n8bRpMBl8+G1W7C4bZiMuutx7JRYnwggtNrQwhBV+MwvS0jRCYSZJIKg+3jtO4YoGPnILvXdpFf7sVglImHkyTjGdLJDC6/HW++k7L6XErqAgy0TzDaG8Zb4CSTVmnfMUBvsx7gIssSQ11BEpEULr8dhGDKvGKUtMpYf5iWrX3sWN1Ob/Mo6YRCUbV+EcpsNRIcjtK8sQclo9KypY/eZt2JJkkSuSV6WrWqaJhtJlRFo217P7FwEiEEbTsGSCUyVEzLJ7/M84HPld1tZfrhFUiSRLRP8Mo3VNTUf+/n0ycN+yHzMBYUTDpX34MkYSwowH7IvIO6XavVyne/+12+853vTLavbtiwYTKFcsWKFQQCAU499VTWrFlDR0cHq1ev5tJLL6W398Db2CoqKnj99dfp6+v7hwJhbW0tDz74II2NjWzcuJEVK1YckLPsw3DMMcewcOFCTjvtNF588UU6OztZt24dV1999XsEqPdjxYoVPPvss9xzzz2TAS1vc+WVV3Lffffxu9/9jr1793LrrbfyxBNPTM6/s9lsHHbYYfzkJz+hsbGR1157bXIW2Ntce+21/OUvf6G1tZXdu3fzzDPP0NDQ8L61bNy4kR//+Mds3ryZ7u5unnjiCUZGRvZb/vjjj8ftdvPDH/6Q888/f7/HX3bZZbzwwgt0dHSwdetWXn311cnHlpeXI0kSzzzzDCMjI0SjUVwuF1dccQWXX345999/P21tbWzdupVf//rX3H///f/4yf+IKSsrw2w28+tf/5r29naefvppbrzxxv2WufjiiwmHw5x11lls3ryZvXv38uCDD+7Xxvy3rFixAqvVyrnnnsuuXbt49dVXueSSS/jSl7402VoJ+gy2Cy64gD179rBy5Uquu+46Lr744kmB8B9RU1NDJpOZrP/BBx/kjjvu2G+ZSy65hJUrV3Lrrbeyd+9e7rzzTp577rn9Lhhde+21PPDAA9xwww3s3r2bxsZGHnnkkfe81rJkORgUWEtwGJwfuIzD4KLAWvJvquiDWbBgAXa7ne9973u0tbXxhz/8YTJc7IPwer34/X7+3//7f7S2trJq1arJizcHSkVFBeeeey5f/vKXeeqppya/V9++ePDNb36T8fFxvvCFL/Dmm2/S1tbGCy+8wPnnn3/AF+eyZMny7+VDT4p94YUXePrppyf/0zSNV155Zb/bPs0kJwTPnaMnPT9/jopsBHeFLsp5a8DiFRQtlFj+gETFZ2QO/7HMCY+AmoSdv9dYd61K8VKoOgmW3CyTjsCUs+H170C0B2ZfAhXHSxhtEjlVelvx3idUXvuWRiYmsOeCpw5Kl+mCpiyBt07C6gdHAXS/LDCYQGR0cbJ3NQy+qdH5vEakR5Ac0YNXjrpNpupEiZwqCYNdb6X21kFiVDD9yxKHXCFTc5pE3edkZJPEWJPgpQsE6cj+J+FWHxgseju4ktj/vqU/l6k+5b/XEeQ1BVjsP5ovlHyF6Y4FfLZgBQk1zgvDT7A7upWjc09iKN1HMDOB35TLk/0Pcaj3cFa1jPP1V37HDPc8Sm1VvND5Fms6uzgq94TJdS/wLqHePYOjc09CQmZneAMVzhJeahoFAQppMiJDTAnjNObwaP+9AAQzE9TYZnLZKw/QGenHZ/ZTn6phsC9BKK6ADAv9R3FO/8n8vuYbHJKzmOPzPkt1TgnFjlyO8B5HvXMGPksujbUjiGofbpOHI3M/w3F5p7G+aA9Ue8m1FGA12GiPNSHnu5Fs7zghwpkgqngnYfJAXGNaWiW26QPmrf2XoioaRqOM1WFmtC9Mx65BvPkuohOJfXMNFba90spYf5jS+jxK6wP07h3BV+QkMhZnpC+E229nx2vtdDYOs2dDN7vWdFDWkIfZamCoawKzzcSbz7dgdRmRDTAxGEVJq6STCtGJJE6PFW+BCyWtEBmL4/TYKK3PBUkiMp5AkiTMFv1Kc3/HGEIINEUwbXE5IGGyGJBkiW2r2rC7rcSjKdLJDG1b+2ja2EPHzkHefK6Zgc5xohMJvPlODEYD21a1kkkp7FzTQcuWPkyW97+aLYQglcjQ3TjMrrWdqIqG1Qflx0nIB2nMppJRJ2dZZvnnkAwG8r931b4//uYzYd/f+d+76qCGtLzNNddcw7e//W2uvfZaGhoaOPPMMyfnTtntdl5//XXKyso4/fTTaWho4IILLiCZTH4o5+IPfvADOjs7qa6ufs98qr/l97//PRMTE8ydO5cvfelLXHrppeTl5f1L+/i3SJLEypUrWbJkCeeffz51dXWcddZZdHV17ScQ/T2WLVuGz+ejubmZs88+e7/7TjvtNH71q19x8803M23aNO68807uvfdejjzyyMll7rnnBgJHDQABAABJREFUHhRFYd68eVx22WX88Ic/3G8dZrOZq666ipkzZ7JkyRIMBgOPPPLI+9bidrt5/fXXOeGEE6irq+P73/8+t9xyC5/5zGcml5FlmfPOOw9VVTnnnHP2e7yqqnzzm9+koaGB5cuXU1dXNxkIUlxcPBn4kZ+fP5l0fOONN3LNNddw0003TT7u2WefpbKy8h8+dx81ubm53HfffTz66KNMnTqVn/zkJ+9xePr9flatWkU0GmXp0qXMmzePu+666wNdi3a7nRdeeIHx8XHmz5/PGWecwdFHH83tt9++33JHH300tbW1LFmyhDPPPJNTTjmF66+//oDrnzVrFrfeeis//elPmT59Og8//DA33XTTfsssXryYO+64g1tvvZVZs2bx/PPPc/nll+/X1nz88cfzzDPP8OKLLzJ//nwOO+wwfvGLX0yG+WTJcjCRJZlFvvefzfs2i3zLPpKQln8Gn8/HQw89xMqVK5kxYwZ//OMfD+h9KssyjzzyCFu2bGH69Olcfvnl/PznP//Q2//d737HGWecwTe+8Q3q6+u58MILicX01vCioiLWrl2Lqqocd9xxzJgxg8suuwyPx3PAFyeyZMny70USfztQ4QM4kDeyJEn/8CpCOBwmJyeHUCj0L7UTfVykQoLXv6MR7tAFwfqzZGQTrP2+RrAFFt4gse1XgqN/K9H1oqDlcaj7nMToLkHPK7DohxI5lRI2v8STJ6rIJphzGZQulZEkCSUhaH5EYM8TbL4V5l4K/ukSW34hiPXBnEslSo/a/1hsuVXFPxXa/gLTvixRMF+m+c8qnc+DxQ1KAowOGNk3f/z0Z2V23i0YbxJYA5AJw7xvS7Q+AcPbBfVfkCg7+p1taBnBxh9rGG0S878js+3XGrkzJUqWSmgZwYsXaiy8TianUq9fSYDV998rKL5NV7yd1lA7337lSa5fejR2s4G0lsIgGTg27xSiahQhNJ4Z/BNm2cYZxedwypM/xGW28bvjvkxbvJliUy23736I8+v+hxqP/mM4pWSwGPUf/yOpQZ4e/CN+Uz4JNU5YncAiWUkJvVW10laLQTJSYa9h7fgqDJKBLd1Bvjf3QtYGX2Ak0c9i0zI6pRGk6CjHuj7DjugWqrq8vDajhcO9J3BX46PMLvJxfN5nkSSJUGaC3zb/DkWRyPMYWeY/iaboDg73H0N7vIXBZB/Lck+habSP/tgYJ1bN31frEFs2v0J14TRqq2a9/5P2PihjCcYeaiT367OQzQdfVPhPo691DE3V6GkewWgyMHVhGU6PjYnhKBODEQY7JpBkyC3OQdU0gsNxzGYDmbSCqmpMW1RB6/Y+fPkucks97F7XhZLWP7dlWcIdsBMcjiHJElUzCxjtC2OxmxjuDoIAe46FZCyDyWwgk1HQMgJPvpOcgB2TxYjRZKBrzzCBEhcDrRN6wrwELq+dyEScnICDsf4wmirICdiRDBKJcJJUQkUyQElNLoOdE8hGSMV0AdqRY8HmtFA5o4D+9nHi4RSSJBgf0OebmW0GzFYT9YeWERqJ0rVnmPKpebRu70doYLQYUFIqVqcJb54eSlM5o+B9n9+3ScbS7F7XxawjqzCaDCTjaVRFw+F+58T1rdfakWQJs81E+dQ8rPZPXyDQu/mov7/DL77I0I9v2i+0xVhQQP73rsK9L2k5S5Z/hgsuuICRkZFP/cXvj5PzzjuPYDDIU0899W/f9oUXXkhTUxNr1qz5t287S5a3aY+1sG78lf1CWxwGF4t8y6hyZFOLs2TJ8unkQw0qOJCh4592BjfprcuHfV/i+XMEnSth72Mah/9YZsYFEutv0JOc6z4nsfcJ6F8PC6+XcZdJ5M8VDKzX2Pn/BNE+QcM5IBn14JSNN8Amg0bt52DK52Um9goqT5ao+5xg94OQP1dQcxqg6WnSpUeBmhIYLBJ961Xan4HOFwEBwTZQ4oJgG4Q7IHcuaCqM7XrHALL7Xt2R2PcGvHWHIBWC588T1JwKgel6srSaEsSHwVWqz3yc/10Z9knQgWng3DefXDZJLL/vHaFn7+OCkR2CJT//7xZ/BpN9PD/8ODbJzv8unE+MEdxyKXE1RlgJElZCWA022mJNmGULYWWcpJrg2PI5HJJfgyJUUmqS1dG/MJaaYPemzRQf7sVmd3PKUzdy+SGnsbxiLm8G38BhcDOU7pvctlEyscS3nDcmXsIkmym1VZJj8lJkLaMn0c53530Jn8VDRkuhyYKgPYhBjZNjCvDX9NPMKjqMEW2cpd6TuHTVXYTScSoCMs3RXdS7ZpBj8vJmVwzkNCv8h7Bq7BkAtkxsoMRWxpyBap7rW8ttbS8zy1/BCeXzkAwyW4PrqO4rp9CcD/sCMG/Z/BRHlEzl0IK//2Mr3RfFc1rNf72gONIbQlM1rA4TRqMBl8dGZCKB0ASZlEJ4LMbEkP5DNr/CS9WMQsYHI8SCSdIZhdziHMYGwiSiKfLLvPS2jCIbZQLFbnwFTlIJhYGOMYLDMVw+K5HxJAMd48xaWkVoNM5wVxBJAn+hi769o+SV+QmORImHU6QTCpm0Ql/rGA2HlZGMpehpTCGbJNxeB8lYBl+hk8h4nPHBMEKAv8iFJEsEh6PUzC2maUMPQoWBjjGmH17J9lfbQAan20rZtDwkJPrbxjCYDDQsKKV5s95+ajQbSCdU0gmVWDjBUFcQTdVo2zGAzWkhk1IxmmSUlJ5YP9AxTo7fzpaXWpBkiUBxDmpGo6DSx0D7GLmlHlz7wmyMJgOyQaJlcy9GswFV0aidW8zebX2k4wo2l4VUIsNYf5gcvx3ZIOMtcGEyG/QgIqELtVkODPdxx+E6+mg9DXpkBGNuLvZD5n0kDsUs/x2EQiF27tzJH/7wh6yg+Cni5ptv5thjj8XhcPDcc89x//33TzpMs2T5uKhy1FFhr2Ew2UtcjWE3OCiwlnxiHIpZsmTJ8lFwUKefaprGypUrOemkkw7maj92EiMCoYE9X6LpjxrjTZBTCb5poKVhylkQ6RZUniDxmQf1Lw1PNWRigtigoO0vGrJRYtr5EssfkOl7TRCYDa99S6BlINYPVSfD8A5w5ElYvRJFiyRW/6/g0O9JRHoFfWtAy4CagoH1AqGqtD0Dx94ps/FGQNJryakCmw/G9mgc8m2Z5JjG8Baw5erCIpo+SzE6IDDaZJzFULRYr2P6V2SGtwp6Vun/mezQ+KDAWycx82sStlyJlsc04oOCms9KSAZ9H02O/U+Yp5wlUXO6fptQBb2vCUqOlJD+y06sDZIBq2Qjz1TFhuBmzq8+h5b4DkbSAziNbjJaGoHG7vA2jvAfQ8BcQDAzTlHBGDX+eeRa8umKt1JireCG+SfSM9rMzu61HJK3hF8f/TWc+0ImA6Z8ehIdk9uVMWCWzKyZeAFNqGho1Dj1+VDT3XM41Hs4wcwEeyLbMUhGSqQSAlKAgD2fVfFnKbVWsHb4Zc7oPwpKDMzNr+arM5eTFBHcRg8AaVXhJ4u/gmaIMJoaJhwdJk2KnRN7aI3vQfJKLLGchr3LzI8rTia9qQPLwmqOz/8synHJ/VqZ/TYXNuP+iZlvo4ZTjNy1E6EJtFiG3K/OxFz0wTNrPg1ommDLiy00HKY7EN9GliWEBnu39OEvdKNkFIpq/Ax2ThAei1PekIe9wcLeLf2M9UeonF6Ar8CFJ9fBxmebGOycoLQuwEhPiPB4nIUnNxAPp5gYihILp8gJOIiH9PS+WChJfqWXicEIG59t2lcACA3GByNoGiTjKaITCQqqfKAKUnEFJa2y87UOSupzKa720bptACWjEI+m2LulHwCr00z1rEL628YIDkaxOkyYzEZko4SmCLwFLuKRFEaz7i6MhpJ07R5CSWm4Azby8vTXQF5ZDqqikUnp23X5bYRH49TMKcJkMTLcNUF30wjVs4to2SdA5gTsxMMpnD47odE4SNC3dwxJlvDkOTAYZPas76K4NoAQAl+hC9BDYgoqvJhtJkKjMVKxDGabkYJKH02bujEYJGLhFLFQEpvLgqoY2Pl6B1aHGavDTM2comxAzAEiGQw4Fhz6cZeR5VPCqaeeyqZNm7jooos49thjP+5yshwkNm3axM9+9jMikQhVVVXcdttt7xu2lCXLvxtZkimylX3cZWTJkiXLv42DIiq2trZyzz33cN999zEyMvK+kfT/yTQ+rDHeCHnz9ACUke3gqoTcqaAkJKw+CHUI/nKq4IifyPin6SeOHc8KHAXga5BofRKEAiaHbvabaNYToRffCPnzDAy+KZj7vyAZ9Mda/QI1BY58KFkCuTMhPg69L8PCG6DzOT0BevvtGsWLoXsVSCZYeouEJUem7WKVtqcF7nLInwutT0PBfKj7vET3y4KcKlCSgnCnQNPAXiBhdumuxKqTJByFgo7nBZoCwXbBngcF9V8CSYboALQ+BcE2QeGhElPOkphoFnin6LXLRgnZqLs6O1/QGN0FsWGoP+u/64Q611JAka2UPIufY01LeXnsCSQhUWAp4Zi8k1kz9hJL/cvJtxQhSQYsBitNEztxG93IGEipSeJqjNZYI/3JHk4pOAupYwIRT1NeFOCB7t9wRtG5uI0eJCQEAotko845lXJbNUOpfhpcszDK77zNt4c2EjDnsSeygzOLv0yVvY7Uzh6sETtP5byAESNFtnKOzz8duRwQcNm8U0mqCZ7qepDje47kjtENTLgEsmuQZeVTyLUUokoKhzqP5Stv3M35hzRwYe0FIGQunHE8hiIvP+p4nksTeQRsLm7c+ii5wwYupgKA86b9/Rk0oZe60FIKns/WkumOYPRa/+6ynyZkWaJmThF21/5iq79Ibze1OMx07hrCYjfhK3CRjKUpb8hj9/oufIX6MkLT6Nw1ROWMAmSDTOWMAtp3DpKIp8ktzUEg2LG6HavdhNFkwGQzsfP1Dopr/Yz0hEgnFYLDUTRVQ1N1i3J+uYeh7iBWpwVNFaST+5x/reM4vVZKp+Th9tkYaJ/Al+dACIiHk3jynYTHEwgESJCKp2nfMUDJlFzSSQWhCrr3DGF3WrDYTVTPKmRiKIIkoLguQCyYwFfoon3HICM9GYSATEpBkiTCIzGcPivugB2L3URf6xiDnRPUzikiGk6iKhodOweQZL1+h8fG+ECEdE8Qo0VGSenOz7pDigmNxkkm0ngCDvr2jlI9q5DellHMViOlU3KRZAklrbJnfTcV0/JIJRSsdhOaKlAVwVDnBDkBu+5yTCuYrSacXiuSJKOpGtFgEk3VsLusWOwHlriaJUuWf43Vq1d/3CX813AgQQ8Hi79NhM6SJUuWLFmyfDx8qJmK7yaRSPDoo49y9913s3btWo444gjOOussPvvZz/7DId//STMVtYzGjjsEAxv0VuXCw2BwM5Quhc6VMPsSiYH1cMgVMqO7BL56XVQDWHWJipKATBSWPyBjMEuoKcGqSzQOu1Zmz4MaQxvhMw/LPHOWBioc+SsJb62MlhHsukfQsELi+fM0tIweiFJ2HDScLWOyS3Q8p7H3CT2YZcH3JZxFMnsf07AEBLIRZINE5wuC4S26u2j5A6BlZFr+rLsH51wqM7RFIxWERT8wMLBJY+MPBJ/5g4RQJIa2amz6EVSdAt0vgX8GjO+Bzzwkk4nCpp9omN0wskOf2Tj1XGh7Co69S8bmlwh3C8b3CJzFusNRTUHViTLFR3z6xcU1oy8x1TULFRWbwUF7rIlIJoIsSVgMViJKCE1ozMlZwGP99zPNNYeZOfOxyBYe7r2TgCmfmBZhvudwXht9AZvBxvF5p+M1+ye3kdHSmGQz4UyQNyfeIK7EmJYzh9ZYIyktiVW2cmzeqf+wVqEJJtKjPDp4HybMLPAtYZp7DqnGXkRKQSm2syu0leqSWTh7JSLNvazy7GUkr4+Lqi8lvLuN120byVgFTmUKiQxsHGjhm7NPIM/uQdFUFv3xSu445hssLp7KtuF2XGYb/dExTLKRhUX1CCFI7h4juLKDwu/MR4tnGLlvN5nhGDnHVaCOJVFjGfxn1X+Uh+0TQ+euQcYHI7h8dkrrc7HazUQnEtjcFmRZYjScYXzvEGN9EWSDxOyja4iMxYlMxElG0yRjaRxuCxUzCrHYTHQ1DiM0QcW0fGKhJHvWd2F3WUgnFdJJfWbh9CMqkJCwuy3seL2dVFRvVzYYYLxxJ6qjCJPdAUAymkIIdPfxvhZf0NOcS+tz6WkeoaDCS2G1n7HeEPFIiv628cn9M5oNCE3g8FqRkciv9NK8qReTxUAmpc92lGQJoQlsLjMzl1aRimcY6BhjqCOI0ay3JJfU5dLfNkIyqjBtURl9raMEh+OYbAZMZgNqRg9pQYA7YMeRY2WkJ4S/0MlofwQ1o4/0mLa4HJvLQtOGbpSMRllDLgajAW++k1g4yUDbGCO9YapmFOD224mGEnTvGSG3LIdMUiE4HMNsN2JzmlFSGgJB/fzSSXf25hdayKQUvRXaKOH2OZi6cH8Xw1BXkFQiTVn9wQ3kONj8J31/Z8mSJUuWLFmyZMmS5aPlQw94ePPNN/na175GQUEBv/zlLzn11FORJInf/va3XHTRRQeUGvifwPB2QcdKjadO0QVFZwmocRjeAv4p0PxHcBaBs1CQCgo23KgRmC5NCooAy35t4NCrID4MT56opy93PKex7HaJgQ0CZzEY7dD+V8FRvwKrH2x+/ew80gPjzQKjHRZcI1F2tF5D8yOw6pv6ibDFqyc+588HsS8bR2iCvX+GjTdC98v67MP6L8KMCyXGdsu8+r8acy6VqToZBt7UGNkBPr0zlsA0CXshvHyRYHi7oPwYA6f9VabwMInKE2HhtTLuCtj0Y43mRzWsXr1OJQGLfwh7HtQTp80uaPqjhlDB5ISulzUqT5AJ7gXff4EmFMpMMJoa4i+Df2T16HO4jG6mOGeioTKU6ieqRHAa3Mz1LMRrDvA/RediNdh5duhRNk2sodJex5RIOYvap2CWrUiSxFklF04KilosRaaxH9O+6Fq3ycPReSdRYCsmo2h0DVpZ4lvOIZ7DD6heSZbIsfgwSEYa3DMpt9cAsDnQwmv52zH2xykLBvBb8rHVFJD7mbkcPW8ZdrPugHRKThZ7l/Fmfzc/3fgXcmwSnZFe/tS8hsP+cAUGSebNFbfSMzbEmp5dzMmrosZTyN6JftqCeht0YucoE39tw3eGPldRjWfIdEcgqRF6uh1Lgw/PydUH9Th9UlEVjVRSIRnLYDDKyPtaZps399K5a5DGLX2sa5wgUO7FZDFgshhRUwo9TSPklXpx+WwoGY3aQ0qRDTI713SgpFXGByIEh6OM9YeZtbSKwhof+RVeZKOEqmi07xhgpDdI8+ZeJCSUjEpoLM5AR4iMtQhFNSJJkIikMNuMlDbkUjG9ACHA4jLjDthw5Fj3BahIdDeNsOPVdlp3DDDYNYHBpH/dBEpy9JoVjchYHINJRkmrFNX6JsNiAMwWA44cK44cG3vWdbF9VRuJsN6a7fLZqF9QSteeIVJxFV+hi6ZNPcgGA558J5mESkltgExSmRTvamYXMdYfQkmrjPZHJuccygaJ5jd72b6qDYvTQnGtH0+ek9HeEN1NI+x+oxOby4zRbGCoe4JELE14NE5OnoOy+jzyK33MOboaTRUMd4VQFBW338GmF5rpbhpmz8Zu0kkFT4ETi92I2WZCVVQyKeXdhx2DUUJJqaT/5vYsWbJkyZIlS5YsWbJk+aTyodqfZ86cSTgc5uyzz2bdunVMmzYNgP/7v//7SIr7d9PxrEYmAaVHSrxxlcaMC6HyJPBWS2AUND0ARhtYcuCQ70jsvlew50EId8Ksb4CSEGiaxnMrYN7lEiVLZcJdEsfdDVpGQjJrbPsVdK8SBFvBHoAZX4f2pwSuUn29Bqt+oqsqgtwZuuCz4XqNmv+B8lpwl+piIugzFLU0pMN6e/WMCwU774bKE8FVCodeJbP6MpXkBMSHBbMvEVi9sO12lba/6K3Mcy4FT5V+sq+m4LBr9FbmtqcE7gqNsV3QsVKvd/Y3JSweSI6DKQrRPpjzTRjbo6dZS0LDZAeDWSI+pBHpFay/FpylYHJqFBwKklEAn26n4ovDTzHVNQeTbAIBrZFGXht/AZtsJ6KGmMiMU+eYhozMz7fdx/ElhzM7cCjF1nK2hNbSk+ig2+LAX+FnuXURpxZ84T3bUFWFoUQXJbbyydvmew9nKBZkXf/znN2wFIcp54BrNkgGzig8l1Ujz7A3uodzyr7JC3v7SKsZAo491GYqUBsHkRoKSYs0XrMft9HDaKiPwNRi8mQzN+b8HxNTY7TFWrhy0TIO8Szk5KpDWdmxmYcbX+Me03J+37eNI0qnMxAd55HmNTx8whUA2KYFMJe6Jtub1fEkksWAEBrmcjfmXDsGx6ezXVTJqKgZbbIdNjIRJzqeYOEpDZMz+DIphepZBTS92YumCBYdUkyOx6aHguQ7sLmtlE/NIzweo7DKj9NjQ82oGEwGfIVuCiu9yAaZ0FgcSZbY8Vr7pCPQ5jSjGlQiE4l9cxXtWB0mZINEeCwOgCYZKakNMNAxjiSD1WFGzWiM9o7p9cUzGGWZaYtK2f5qG0aTgYIqLz1NIxiMEjWzi2jdNqCvS9Vw+2xMmV9C86YehBAMtI8jG2TsORZiwRR55TkMd4WomlVI395R/AV6oIvBKOPy2UhEUrRt68dkNuDwWBnri2AwySRiafyFbmxOMz3No2iaoKdxBElCFzIHc0gGE1jLE7wtX9rdFlw+G+MDUaITcUqqfYRGY8RCScYHI6iKhpLRKKj00ts8itFswJ3r2DfX0kXjhh5mHVVFzZwi2ncMUFzrR02rqGmN3uZRLHYT7lw7EwNR7DlWlJRCLJ6hcWM3OQEnJbV+xgYimCxGQqMx0tsV6heU/htfgVmyZMmSJUuWLFmyZMnyz/GhRMXm5mbOPPNMjjrqKKZOnfpR1fRvZ3CTYPtvNGrPkOh5VZAKCwIzYe8TUHWSHpry4tcERrM+T3BsN+QdIoj2gH8aJCd0t97LX9coPQrSEbDlChIjgp5XBdLRElpG0PsQTPsqtPwJPFUQ7YctPwU1Dd46vUX56c8Klt+v0f0iqBkJoQqO/KVEfEhi7fc1ltwsYXYLnvm8SvEReuvx0BbBst9A40MCs0dPgc6p0Oc8hnshFdRnLabGITEq6HpBn+1YeCgg4M2faShxPfHZP00XSZPjumg4+KbAWaKLlENbBEocZCNUnwpv/Q58U2UKFujCx9JbJOz5sOFHKiPbYWATIIHBCl0v6iLm0NcEpcs0ig+HwPRPZxLaaYUrMEomomqEP/XeDYCKyrG5pzASj3PV+t/ymYYU/alunK4Y7p4ww5EW/BVVWGQrNfYGuhPt1HpnIEsyCS3BusFHObHgcwDIDguDVWm2TWzYT1QEyHd4uHf5Zf9U3ZuCr5PUkiS0OE92rmJJeRmVzkru3PME362bj0GS2bvhJfYU93KacjLTtFrsu8bZNq+braOdnFdzFnsS63iieQcnlByH5JVo8JdS7s7DYbTw1U3PsDMxwJKBBfzv6rtYUFCH3+pCExqyQd5vXqIxYEd2mpAdJiRJJrZ5CPfRn66h1wPt40iyRCalEBlPTDrqPLlO8ss9RMYTuP12xgbCtO8YwOWzU1Tlx+owYbXpcxDnHVu73/qS8TSaKuhpGgEEh53YQKDIza43uiiu86MqGkNdExgtBpSMRn6FB0mSmBiOYDQaiAWTgC785QQcOD1WvW1Z6OEsbr+ddCJDaDSO1WGedFFqqsC6T/R1ONKM9oZIJTNoiqCo1kfv3jFURXdY5+TqCclvrW7H7rYQCyVR0homi5GqmQWERmOMD0YJlLrp3D2Eqmj0tY0hNEHlzAI6dg5htZmwuc1UTCtg8wstyLKEpmggBL3NIyCBy2vFV+gknVSonFFAOpnBmBfDbpXRgMgGP7I7ReA4GW++m+GuEAaTTHAkxkhviEQsjdNrJVCcQ36Zh6ZNPZitRnat6aR6diG+AhcmixG720J34zDFtT40VdC4oQeDQcZsNepzTvfNrESCZCxN/fwSmjf3koikcbgU+trG6G0eJSdgx2Q14sl3sOWlvciyxPQjKpENEgbDp/OzMkuWLFmyZMmSJUuWLP/ZfChRsb29nfvuu4+vf/3rJBIJvvCFL7BixYr/+ERL/3SYe7nM8HaNSC9IBj3dOTkGo28Jqk+BogW6ODbzQpme1zVa/gzTL9QDFYasgtJlEr56CYNVULkcNEXimTM15v8fbLhBUHky9L+hC5DLbpPZfa+Gtw6cxRL+aeCt01NPnzpR0Ps61J8tYfVJDG0RrL9OcMTPwWCDjT8UWDyQGAGTG9QM2AKw9VcQbNHboGUrzLhQJtQh8NVCbAj8DRIGs4S3TtC3VqNjJXhqofAwmbKj4flzNZyluoiaDkEmKdDSEB8C2aS3aa+/QWPqedD4kO6OLFoMZpfEyA6N174lOP5+CUeBzMg2Ff80qP0f2HknpMLgb4C+NWAv1gNsWv4Mp/31vcnRnwbebktujzWTZykilB5HSOAyeRgzjXDnkVcjG1P0JjqYlTHSZe+i3dBDYCifhBpjefNcMg1JSm2VrB9bzWhmiFrH/iJ+hb2Gin1tygeLhd6j2BPZgcfk4+63VlGVB4oUpDs4SofSRWW0gOaRKDmlxWjjUSpH3Kwu2ka9ZQl3vPkYR+Uto3EgzueqlnNI3lTOePonJEMRHi87h9tHnyUppzmhch7N472cUbOIiVSU5Y9fhz9h4a6yc7HNzMXosxLfOUp0fT+FV84HIN0fRbYYDuq+fhKw2EyT4SGaJlAyqi4+AUgQCyfo2jOEJ8+B0Wyg7pASZFmip3mErj3DVEzLJ7fUw1DnBOmUQllDHk2beuhrGWXaojKEgMaN3djdVmKhBJmUis1p0mcoJvTtW2xGXUwzyCSiacw2E+GxOGpGDxUxGGQMRpn8Mg8DHRNIkkQslEI2SAx1BvEVuZAMEsmYHp6iqYJUQsZkUkGA0WQgPBrXW6YdRrSMQNMEHW/prsVoMInVaUJVNCxOicaNPcgGGaHpic5Gk4FAkYv+tglkg0THziGMZgMNC8sY6pognVTwF7vJJBVi4SSJaBrZKCEBVTP1xGejycBQ1wRdjcPIsoxmSeEO2Ck9X6anMUoyZqOneRhNE8xZUkl0IklZfR49LcNExhL4ClzIBhmLw4ymCYrrAoz2h4iMJsiv8GA0G1DTKrvWdFNY4yMWSlIxPY+e5lHsTitFNX6MRplAUQ5qRqFj1yBGo4HKmQUYTQYaN3ZjMEmExuKUTsnFm+ekt3kEgZ5C7c1zUtbwyZ6zmCVLlixZsmTJkiVLlv9OPpT9obi4mKuvvprW1lYefPBBBgcHWbx4MYqicN9999HS0vJR1fmRsOpilZ13q5jsEpkItD8N/qkw9Ysyalp37A1tgVRYMLgJUhOw6lKN3td1IW/XXdD8qKDhixKSJOEsltj7GOz4HRgsArMbet8Agx3GduptyUKD+KDeahzuhs4X9NRkSZZITUgIoG+tYGyPns4cHxKc8IiEEpfwVEPeXEgGoe4smH6ugYXXShhMMNECFj+Yc6D+LMibLVG2TGbxj2RmfV1CS0NyXBDpFYRaJZCg5VFYdYnG7vv1+YeVx0PrE4KcaonRt2DTzwTpsJ7cPLxZT5GuO93AqU8YcBRIhNr059HigZIj9VmMqZCgYrk+S7H3NQlHkR5Sc9h1MgY7JIZAScKMr8FfP6ex6afq3z0+/8lktDQxJUJUiWAz2kloMd6cWMO68VW8OPYH3hh7kZ5EByFDhF7rIHNyDmMw1UtCjTPQoOI05zCY7MMkGelPduuR4fvQgnG0ifhBq1UTGhktw1vhzSS1BDvHWvnqjOW4LCaGUz18s2gORCYwtY+yzdNJZ7qRjaatZIqszBudQrGjkG1fvI0pvlKsqpt4Uxev9L1Ca7CfoJRG1OZy+zEXoQiV5zu38dPNj1Pk9NEZHua0moV827qMZGcINZgkmkkSHAuijCcn6zMXOTH6bQdtfz8p+ApdePNdSJLuRNv+ahtj/WEAcnKddO4aJhpKIMkS6aRC08Ye0kmFvDLdXdjbMkr7zgFko7QvdCWDqmgUVnnZ9UYXfXtHiQWTjA+EMVmN9O0dZffabvyFLgprfaQSGbp2j5CIpjEYDeSXefAXukGA1WEinVBIRNMITVBUE0BoAm+hE0++Y/JCUmgkts9pqOLy2VBVlUQCMsKHoqhomQRmq0Hfh5iCJEt07RrGW+DA5tbFdyWtIhkgHkxhcZiwu804vTYkCVLJNP1tE4AuWCppFYvFwHB3kO7GEbqbhlHSql6DojH98DI0ReAvzmHvll48+U6K6vyoqoaa0aialUf1zAKmL66guCaAO+AgOpEgMpYAIDwWp2vPEK3b+0nFFQqqfLh9djRN4PLYyAk4kCUJu8tKaUMuVocZT56T4voAuWUeCiq8lDXkMdqrH0dPngNvnpOR3jATQxE8+S7sbgs2t4XBjnF6945QNiUXR47u0h3tC/HW6x2kkyouv53K6Xm4fPprv7tpmP7WsX/fCzRLlixZsmTJkiVLlixZ/gH/dE/VsmXLeOihhxgYGOD2229n1apV1NfXM3PmzINZ30eLBN4aibEmjQ0/0qhfoSc1r/k/jcAMfX6ilobnVsAJfzBQd4aefhxqhYrjJcqOBaMFQt2CVy5WaXxEpfJEQTIoeOZzAk81jG4Fkw1y50DPKnAVg3cKHP5jA/Mul0mMwtrv622BsQEoWQLLfmWg+HCJ5BjsfUKw/nrB+h9o1H1OonCB7iRUkxIbf6gytFXotZph7qUSSgKqTn7H/Te0Gd64StCzWrDm/zSa/yRwlQkinZAY1d2YrX8BVxlggFAHJMY1BjeBSOvhMOkgWHz6LEdNFfS9ITDnCKIDgnRYsPlmQc+rMPdy0BSo+IxE3RkyM74i0fBFidYnBU1/0J8Pe0APa4n16sv2roHxRl0xy8QEW27VUBL/VCD5J4p1Ay/THN1FRA2S1JLMcs+nzjWdY3JPYb7nCGRhZX1fK5WBOczzH86O8Camu+YRsBSwXdvBQKqP18aeZ1wZY77ncJIijtI5isioaKMR1JHwQat1R2gTLw4/SZG1lJ5EB/2ZJl4ZfYaklmBbf4Rhm5c95hZWVndQXeLDr7no8Axgqy0htTAXs2xBkiSEEDzTtZnfBLezY2SQ7efcxsl1C1i+5ufcvfMFrlv4BRYW1nFYYT31/lLsRjOz8yqZ//lFWM+uRip38Ottz3BN8llePyZ60PbvP4VpiyrwFrhIJzOM9YeZe0wNNoeF7sYRVEVDkkFVNba/2obZZsSeY0FTBHu39NO6vZ9oMIG/0EVRtZ+KqYUktucjBGRSKt4CJwaDfjEhEUsx3hcBCYwWAwaThKqqpJMZ+tv0NuVkLIPVpTspi2r8DHToyc29TaOEhmOTrcyaqk3q3V27h9ny4t59rcwGhAaSQSY0kkAIgdVhJLMvaTo0Ep8MXQEm06OdOTY0TRAejZNJqQhND1J5N6GxBF17hvHkOZgYjCI0PX3aZDIw0hNGkiA4HCURywD6uvSkalAygra3BuncNYgETFtUxuxlVXjyHQghUFUNT54Df6ELX5ELh8uCqmpse6WVzt1DKGmF1u39FNf4Ka4JYHNYSEZTNK7rQVP15y2vNAenz05pXYBAcQ59e0cRQlA9qxCjyUA6riBUDVXRSETSpJIKsVASBCTj6UnREaC/bYKmTb0MdwfJ8TsmBcYsnw7OO+88TjvttH9pHatXr0aSJILBIAD33XcfHo/nX67tPxVJknjqqac+tu13dnYiSRLbt28H3nt8smTJkiVLlixZPm18qPbn9yMnJ4dvfOMbfOMb32D79u3cc889B6Ouj5zNt2iMN0LRYonhbYK6MyTq/kcm1K6SUw02n0zJkRqRHgi1Q6hdsP23ULgYyo6SaPmz4KjbDKy+XKXjWRAZGG/ShUH/VPDW6KnMex6AxT8Cq8dA3myV7bfrrcvtf9XQVJj6JYlwl0BNC2y5usPwbSRZdwDufQxsPj1spepEmelDukgY7gJPjZ4yXXqUSucLgvx50PaUYHibSt0ZMolRQcGhegJ1JqbX1viwnjR92PXgLpVo+oNgdDekQ1B2jITBDM5iQSYOw9sATd+f4W3w2mUaoQ7dfVl/Jqy+XMNeqNfa9RxsvVWj+jR9v4xWiaGtGu1/hcAMvZU6GYRMQq/H4oKCw+CNqzR8U6FwgT57ccqZelv4fyp7OtcTiQxh9zpQFRUDBjrie6myzuGXm1Zy0+HnUGwrwyw8vDbxNKcVnM2O0CbCygQFliKSJh9N0bf4XNF5WA02NKHxxugrqEMB5IATY83BTVgvsVWwM7yFElsFtpiB46MLUes8gGCW3cgUTxV/7YrxeNNOxlMhzqqq5EtVX0Jd10GkcoLVOc0cGfgMGwYaaQ0OsKioHqNw8/udL9IZHmYwHmRtXyMvdG6jIiePRCbNYy1rGYwF2TrcypOt64mkE0wPlHPZ3FPY0N/I1uGOg7qPnxSUjMpoX5iCCu977rM5zYwPRBjpDZFOZsgry8HpsWEwyigZlVgwyZ713bj9NiJjCQoqvbRuHUA2gprRGO4NoyQVVFXD6/Mw2hElp0RDQ1A2JY9kSZquPcN6+IoENocZR6yZUVFJLJgiJ9cBEpjMBpS0SjKSAfST9N7mEWQDmKxGMkkVg1GfGegJOOhvG8dsN5BJvCMClk4J0N04gpIxYrJKKCmNdHJ/V7LLbyM6kcBiNyGiGWxuM3XzimnZ2kdsQneq2hxm8sq9jPWHiAWTWJ1mZINETsDBcFcIq8tEPJLC5jJTVBNASSmU1OfS0ziCwSQz2D6BEOht2pJELJhkxpIKmjf1koylKanPZWIwSjySBgFt2wZweCwIDaYtrsBkNtDTPIyqaMw7tpbGDd14ch2YrSa0tx4jse1ZQgXfxUic0IgBT64Tb56T4HCUggovFpsJb74LVVGRDTKZtIrRbKC4NoDFZsJsMxKdSBCPpjAaZSLjcUIjcQoqPFTNKiI4HMWb76SneYQp80twev47REWhCkZ2QnJMYPVLemiZ4T/3OyFLlixZsvwXoWkwOADxONjtUFAIcnY2cpYsWT69/Mui4ruZPXs2t91228Fc5UdG4WG6gCebJHbfp2G0QePDKp3Pg7sMrF5B5/NwyLclkuOCzhf1GYh7H4eJZsH08/UTnJKlEhN7BUoGUKHjaX1Go8EMFctlbLkaL34Zlv1a0PKoLigaLAKLV7D1FzDty5COSOy6W1B4mIR3yjsnTp0v6m3XRUdA50pIx9BbHQskon2CaedJCA3612qs/b7uKlx4nUzTnzSUpO6I9NRKbP+dYOQtQdVJYDBJ+KcJcqoAoe9/qFPgKoHd98HnXpHpfF4jbw7kzpRYf71uIdJUiA1C0WKYaAUpDZ0v6PsT6oKF14DJKTHRArvu1ZOr8+YKmv8EZgfUni4x3iwoPwa6V0Hd52H7rwEB9kIYb9ZnNx52jYyj8N/+cjhojKdHGHZMkEHGY/KSY/LRlWhjluMInh54CIvJTEKL05XYy6G5s9geSvHSyF+pNtcxFO8lZoiSEWlWlHwNq0EXELribbQlGhEVGsc6qw96zT5zLksCx5PW0thMDkwOG52JdjoTrQBYLUchULg+fzmrpA0MC4mHezZxTvF0imxuinMcrGvZxY93Po5RNnL70RchBHz+rz+lJdgHQDyTIqmk+dnh5xFTUrzQuY2JVJRChw+PxclJVfOxGs3YjGaOKpvFUWWzDvp+fhS07xjAaDFQVp9Hd+MwFruJ/HJdMHxbLMor9QAQCyWRJInh7iB5ZR5k+Z33uqpotO8YIL/Siztgp3PnIHs39yEbZcqn5mM0G9i+Sp834M13EhyKYbKY9jkCBZIRVEVBNkhMDEZRMiq+ZWkyKYHBKNHTPMz4QBQhBEhQ3pCL22ej7fUeZCNYHGaGu0KYLO+4Cc0OI+mYQjySBAmsdguugI2hjiAmq0w8nCLH7wAgHX9HMNRUQceuYQJFLsYGImiqmExurp5dQMfOQYQQxMMpJEnCk+tkOBEkGkzStKmH8YEIZpsRSZJQMiqDHeMIITCYDCTjaYQKsWBq3yxDDVmWyaRUImNxRvtCaJogJ2DH4jARGo2Riin4ClxoiqBkSi5mixG3305oNEZv8yihkRgLTqxn97ouIuNxyqflE93jYPvLbZisEiVTcvHk6U7G8Fic6jmFZFIKW7unoXnrsRnBpAWpnF/H3u36a6DhsDLiIV0Yte9zHfY0jyBJEg2HlTE+EKFj5yCzjqzC5bNTP7+Uoc4J8it8DHWOMz4URdnci5JR8eQ7MRhk4pHUf4Wo2Pu6YPvtGomRt2/RL7jNvlimZMl/hrCYTqcxm80fdxn/NAez/v/05yJLlixZPhTt7bDuDYjF3rnN4YBFh0NV1cdX10Em+9meJUuWd/OhLpssW7bsH/539NFHf1S1HlSKF8sUzJdIhQTzrpAoPQYcRRKH/1AXt0a2CY67W6JiuUz92QZyKiRKlsic8EcJVzFsu11veU5H4NSnJE74g8wpT0gceZuelJxJwNbbNKZ8/u3QFahYLuGdos8eTEfAYNHnNObPh3RMMLBRY3Tn2yKe3losND1QZcrndYdkclxg8+u3uSsFVi9svU1gsOtpzTmVkInAvMtlHAUSziKJooV6C3bBAig+QmLpzQaMVok1VwoaH9KID+qJ1UYLPHasyvbfCPLnSiBJHH6TRP0KWHqzAX89dL0AU86C6pMgFYLaz0H58dD6FLz+XYGSEsy5GEZ3abx0oYaW1tvIV/2vINIDTX+EwCxwl8ocf5+Mq1RCU0DLgNkF3np47dsa6ahG7+sCTf3PaoXujrezN9aI0WKlM7EXRWQ4vfCLXPLCI/SHk6QMw/yp+yFGUoNoaDiNbqxJI3sjuygcczPPs5AF6Xkkh0ZpjTayM7SF4VQ/DoOTKseUA66jNTjAnW89f0DLvjzyNBbZikEy4PUWkV87lVJLLZm0ga6hDGPRDC2jE/xqfDXeXAin0tR48sFmwj6okhxL8fW1d3KRvJizG5YQUyLcseePtIcGObJ0Brcf9TXMBiPTA+WMpSLcvPlJhhMhHjv5Ko4rn83n6hbjtTqxGf+zfpwMd08w0heit3mU8cEITq8Nu0sXkJKxFG+93sFwVxCA4EiMt17vAAlmHFHBjlfbiAYTtG3vp7dlhGQ8jcEkY3dZSMXTCCCdUZi2qByzzcRYX4h5x9Ui73OzmaxGepqGyaRUVE3DYJRBA00TGEwyakZDSWvY3WZURRALp1AUFSWjEshJ0Lenh13rukmaCjCYdGeiklbJJBXMNv1aUzqmi4tjfREQEI+kCI/qszzTyQwSEB6LYXPq+yzJIEm6iCbJEqqmv3/VjIY74EA2yAy0jyHLEmpGn3GoqYLwhN6e7PBYQAhsLjNWh5lUPKPPmk1kyKRV1IyKLMk4vVYMJkmvN62STimYzAYGO8bJpFQkCcLjCUZ6QhRVB5gyvxglpWJ3W1DSCtteacXiNGOyGFEzKrXzigGYtqickrpcepvH2PH/MhhTDnLLPEiSPvexaWMPs46sIr/MS8fOQXLynOSV+zDZbGScZZhsVvIrvTSu7yI0EqNrzzCaqjHSG+LN55oZ7Q0x1h8iNBrDHbBTMT0fNaMSDycZ6hynp2kYm9NM2ZRcNE1jfDBC5YwCiqr85OQ5aNs+wJ71XSiZT+ccWtAFxfXXvVtQ1EmMwPrr9O+EjwJN0/jZz35GTU0NFouFsrIyfvSjH03e39PTw+c//3k8Hg8+n49TTz2Vzs7OyfvfbmP+0Y9+RFFREVOmTDmgx73NDTfcQG5uLm63m4suuoh0+p3RAJqmcdNNN1FZWYnNZmPWrFk89thjB7xvbW1tnHrqqeTn5+N0Opk/fz4vv/zyfstUVFRw4403cs455+B2u/nqV7/6vuuKRCKsWLECh8NBYWEhv/jFLzjyyCO57LLL/uG6vvvd71JXV4fdbqeqqoprrrmGTCYz+bjrr7+e2bNn8+CDD1JRUUFOTg5nnXUWkUhkv3X/8pe/3K+m2bNnc/311//d/T/QY/Budu/ezUknnYTb7cblcnHEEUfQ1tY2ef/dd99NQ0MDVquV+vp6fvvb337g+rJkyfJfQns7vPTC/oIi6H+/9IJ+/0fAkUceyaWXXsp3vvMdfD4fBQUF+30uBoNBvvKVr0x+zyxbtowdO3ZM3v9+ozguu+wyjjzyyP22cfHFF3PZZZcRCAQ4/vjjAXjttdc49NBDsVgsFBYW8n//938oinLAtWXJkuXTwYdyKq5evZry8nJOPPFETCbTR1XTR8rOuzScJXr77dgegc0HPa9C2TFgyYGiIyS0jGDh9TIWj8REsz7n7+g75H3hBBJH/FTw5s81BjaAlhKkQnrqciYqGN4Gi34gs/oyDVcZxIdlKpbrAuLABkGwHQoOgdKlEiVHSNgLINgm2H0vVBwnYfWCmhJsvU0jOQpqEkItEB2A0R8Lcqr1+YVKHIJtcNpfZJr+qJIKgWyGcLdgwdUyZtc7jg4lrjsNR7ZD14sah31fYvqXZYoWCcwugWQQ7H0Cpp4DLY/p4uLgZkHb07qj0Vsj0f6MRtVJsPcJGNkGU8+VafgSvHWnRnIYEFAwT3dUVp0k4SwSmJwQ6QPZCDa/PkMRIG8W5B8ioSQE4S7BvMvAVabXrCQFubP1+YqbfiyY9mWJKZ//z3Cn7I3uYWtwAxoaA6keFuQsYdvQTh4Yfpqbjj6J7vQu8lQze0eHaew2kJmWpshSQkW3DY/LgjtQyKa2F8lL+0m5YW+ojaSaJNecz+H+4yizVR5wLfFMiuF46ICWLbNV4zK6SWsp7AY7zw09wa7hfvJdBhocXuamS5k1Zwa7g4083vECBR6Z53veYOa0L2DvTpHuiTIzv5LuwjSXNZxEyx2rqT7JSr2vhNd7djGejDCRjBJTUty/exW9kVEGYhOc/NSNFDv9LCqq58r5p7+nrl2jXVzwwm2sOeunGFUJ2fzJSoCeGI6hZvTZgoMd4xTXBEglMgxu69Nn5AHVs4tQMip7N/dSNbMAq8NMJqlQWp9HPJzC5bfTtXuY/rZxyhryaNvez1h/BINRxmI1IQQMtI8x0KbPNNQUDZPFSCyYJJ1QyC3LoajKx841nciyTH6FF4vVyPhQBE0zEd83tzAylsBokVEFREIKed40MZOPRCSFxW7Gneugr2kUq9NMMpbGZDWQSarYnGYS0X0ChwSJSBpkcHntVEzLo6dljIkB/aTfYjOTSStY7CZ8BS4ioQQp0lgwExqNggZKSsFo1b92Cqq8DHeHMJkM+GoDBIciBEdiaKrAbDWCBOnEPtek2UAqqaAqGk6PDTWjIdslvW0ZoSdVm2SMZgPppMK0xeXYnBbatvVjMMkER6JYbSaGuifwBBz0tYyCANkoo7boCtZwd5Ciah9Gs4Hw51ox+mzYXU46dw+RV+ZBzaj68UsrmCwGosEk4wMRTBYDmbTKcE+Qsvo8UrE0kYk4mbTC1pdbMZj0tueS+gChkTi713ZRWp9LoNjNQPs4YwNhauYWM2W+FbPFyNhEAiWlgQS9LaPUzi2mcnoB3gIX4/3hyZCcTxtC1R2KH8T22zWKF8sHvRX6qquu4q677uIXv/gFhx9+OAMDAzQ1NQGQyWQ4/vjjWbhwIWvWrMFoNPLDH/6Q5cuX89Zbb006NV555RXcbjcvvfTSh36c1Wpl9erVdHZ2cv755+P3+ydFzZtuuomHHnqIO+64g9raWl5//XW++MUvkpuby9KlS//hvkWjUU444QR+9KMfYbFYeOCBBzj55JNpbm6mrKxscrmbb76Za6+9luuuu+7vrutb3/oWa9eu5emnnyY/P59rr72WrVu3Mnv27P2We791uVwu7rvvPoqKiti5cycXXnghLpeL73znO5PLtLW18dRTT/HMM88wMTHB5z//eX7yk5/sJ/B+GA70GLybvr4+lixZwpFHHsmqVatwu92sXbt28iT54Ycf5tprr+X2229nzpw5bNu2jQsvvBCHw8G55577T9WZJUuWTwGapjsUP4h1a6Gi4iNphb7//vv51re+xcaNG1m/fj3nnXceixcv5thjj+Vzn/scNpuN5557jpycHO68806OPvpoWlpa8Pl8H2obX//611m7di2gf16ecMIJnHfeeTzwwAM0NTVx4YUXYrVa9xMOP6i2LFmyfDr4UKLiT3/6U+69914effRRVqxYwZe//GWmT5/+UdX2keCfKtG+UiO4VxfRJvbClBUwsQcOuUIm2i8oPxbUNMSHBFt/rREb0JOgJ1o0/A0Sva9rDLyptzhPvwDeuBokoyAwDQxWfRunPSNjMOsnPs+fq9KwQsJo1x2Dh10D0X6Jl7+msfB6iY0/FKgpMLkFTX+EHb8TuEph4fUyG36s0fE85M+BiTaY8RUYWAf+BhjcqItvVSfBjt/q2151iSB3tuDwH74jwBx+k8zwNo3Gh3Vxc9c9giN+Igh3aWy7DQIz9VRqkwNOecyApgj+cqqGJEFyHHJnwVt3CSxuWHqLhBBg8+v7Zi+Cjueh5lRofgScZTC0TXDULwwkRlXGG3X3YU451H1epvEhje2/geY/qThLYeANfZZisFUw0aphyZEI7gUJiUU/kHAWQ6RH0Pu6oGHFJ3seidfkp8E9k+bITiKZBHe+9SJzi+24JDcem41i55Gk1BSS/BqVBTOIqR2YghqNnl6a7d1MtAxxaWARyDJtnnGKlDLG06PkWgp4YfgJTsj7H0rtH9w6kdbSrB1/hUW+o7gm98wDqrvBpYcrjaQGGUuPsMhzPPe8+UvqDD6+PmsZj2iP8FnpS8QYwCrZyDMHeKJjJ+dOiVK/pI4LHruWiriD3w89R3HGwcy4lSN9C7gl+TNm5FYwmgijIrh6weepcOehaCqjiTBXvn4vkX6Zs6cteO9+9ESotgW4o+5cEq/2Enm9j+LrFyHJH7+gkkkpjPWHKakNEA8lURSV4HCM4PA7V6adXitOr43e5hEEYHGYiEwkGOkNER6NM395HXvWd+EvcpMTsOniYcfYZHhJSV2Arj3DdDcO48ixYrYaGeoOIkng8tpQFZVkNE0qnmHH6g5kg4QkwUD7OELTW5wBcss8pOJpwqNxXagCUlgYCLkR2j7XYSKB0AQl9X5GukNY7CYySQWjxUAqkUEySJhtBlJRBavDRDKeITwap3Vrvy7qSWA0yaRT6X0XDiTyyjzkZBzsGe9mdl0VI7tDSDIYrQaUlILBKFNSE6BqRiHtbw0QHI4QGotTPjUPp8eGw2Nlx6o2UvtExVRCAQlq5xThL3aDJNHdOEwqMYHRbEIIgVAFdpcFJaUy2D5OYZWPWDhJKp4BCTJJFbffjizL2F1m5H0txdFgkq49QygplQmnBaFpODxWTBYjkbE4To+N/tZxyupzMRhlRrvDDHeH0ISG0SzjK3Iz1DFBX8sogUIPJrMBi8NMcDhGMpomEHCRiKQxmU1MOaSEt97opKd5hOHuIEKAv8jF7je6KKj0Ys+xsndzLwaDTKDExcRQjPGBCL5CF56AA0/A8e96mf/bGdnJexyKf0tiRF8ub/bB224kEuFXv/oVt99++6QoVF1dzeGHHw7An/70JzRN4+67754UdO+99148Hg+rV6/muOOOA8DhcHD33XdPClUPPfTQAT3ObDZzzz33YLfbmTZtGj/4wQ+48sorufHGG8lkMvz4xz/m5ZdfZuHChQBUVVXxxhtvcOeddx6QqDhr1ixmzXpnnMSNN97Ik08+ydNPP83FF188efuyZcv49re//YHP0/33388f/vCHyY6Ue++9l6Kiovcs+37r+v73vz/574qKCq644goeeeSR/URFTdO47777cLlcAHzpS1/ilVde+adFxQM9du/mN7/5DTk5OTzyyCOTF8/r6uom77/uuuu45ZZbOP10/UJYZWUle/bs4c4778yKilmy/DczOPBeh+LfEovqyxUVH/TNz5w5c/JCTm1tLbfffjuvvPIKNpuNTZs2MTw8jMWid5bcfPPNPPXUUzz22GN/15n+ftTW1vKzn/1s8u+rr76a0tJSbr/9diRJor6+nv7+fr773e9y7bXXIu8TT/9ebVlRMUuWTw8fSlS88sorufLKK1m/fj333HMPixcvZsqUKXz5y1/m7LPPxu12f1R1HjQCs2DLL6D6ND3NeGQ7OAoh0quLV9E+QePDgvbnBK5imP0NmYkWwZqrNNylYPFIpMOgRMBeCe4KGbNLo/w4iPZD3f9IqGmNV74usOXB7G/KFB4GslkwvAWUJLzxPYj2apQdC/1r9RZiyQhqXMJeIIj06e3Ikqy3GQ9vhkOvljBaJIw2iZP+DKmwxgvnCSb2Qu9revBKKgoiBnP/F9S03iamJOCZz2nUngGxfjA7dSE11Kk7HR1FMLIDzG7Y+gvIm6NhdkoYrCAZYM5l4CwUZMJ6q3akB9ZeLVh4vSD/EInx3frsRk3Ta4h26wnaoQ5Bz766ht7Ug1reuFpjbCdUnKBvr+XPuhC6/bf6QP6p50LRQonKkwShdkHBofqX0USzID74cb1iDpyAJZ8NE6sRAo7NO4mR6JPIkpMRdYSEEmcsNUxCjbG2NYSpeJjz61ewevPjbE3FcDhVLrEfisnjxlyZR0naTa5WQMIaRxUKZxV9hRyzl/ZYMwJBia0Si6z/ONCERlyN4TS6kACjZPxQbqakkubX257h67NPoNY5FY/ZCZqFz8xZwlODO8nLt7IrvIUjco+mxF7KN55/mGPKZ1HvL2Xd2Gssn+5k2/oMGQQrg29x6lWX8NUXb0fRVCyyEUXTOLHqEOxGC99f+zA5Zjs7RjvwWVz0EuHPQ5vo7Z3gC/VHkP9KnNzDyhm9dxeSSSYXiCoR/OdO+9gFRaEJQmMx0kmF4e4g3nw9ablt58DkMha7CaNZbz9ORNO4/XZioSTVs4sY7BjHaJKRDRKRiQSxUIpAiYTb76B95+B+KceSBNWzC8ktyWHXG50IwGo1YbGZ6G8fw2g0kEmpWB0C2SAhGySUtIbZZkBThf5vq4HR3hD+Yhc5eQ5MJgOjfWEkTZATMBOPqZNOwHgkhZrRMBh1IVFTBZqq4vRYSacVcnxOQmO70FQ7vtJyiusC7FzdgSTrFyRsLguRsQQAE4MR1IyCvyiH4oyfseYwnjwH4bE4tXOK6dw9TDycpLd5hFRKYWIwislqBAGDnRNITJCKZ95Jps4Iimv89LWOkc4otGzpY3wwgtEko6Q1LDaJWEgXY5WRGE6vFUXRGBsI43BbkSQJq8OEklEJj8WxucxomgBZgABPnoPQSAxfoQujSSYWSmOxmlDSCja3G5ffQFlDLhabmc7dQ9hdZgwmGRT9eEfHE5RMCZCMpdlwHZQdGaD0NJnckhxatw8QHY+Tk2unbUcfBmMJnoAdk1kmJ2Cna/cI+eUe1IxGf/sYbr9dD+cxyWia7qSMBhO0vzVA1cwCfIWf/O/Yf5bk2IG1NuvLHbzPgsbGRlKp1N8d3bJjxw5aW1snha7JOpLJ/VpiZ8yYsZ/z7UAfN2vWLOx2++TfCxcuJBqN0tPTQzQaJR6Pv+fEK51OM2fOnAPav2g0yvXXX8+zzz7LwMAAiqKQSCTo7u7eb7lDDjnkA9fT3t5OJpPh0EMPnbwtJydnstX7H63rT3/6E7fddhttbW1Eo1EURXnPb8aKior9nq/CwkKGh4cPaD/fjwM9Bu9m+/btHHHEEe/bjROLxWhra+OCCy7gwgsvnLxdURRycnL+6TqzZMnyKSAeP7jLfUhmzpy5399vf37u2LGDaDSK3+/f7/5EIvF3Pwf/HvPmzdvv78bGRhYuXLjfOcfixYuJRqP09vZOuuH/Xm1ZsmT59PBPBbUsXLiQhQsX8qtf/YpHH32U3/zmN1xxxRX09/d/4oVFJSFIjulJzU0P6bfN+7bEa98WrL1GY+bXoXChflJfsEB3HXpqYNttgtrToXCBRMEhMmpaIxPT5wWqKeh9Haw+6F8v2HEHlB2tC2nrb9BQ4uxLstRnIY5s18NcXMUQ7RfU/Y9MpAe2/VojdxaUHgXdL0HnixpWr8TJj8Pue6H4CMifB7EBQXxEn58Y7tQ45AqZgU2CSI/Qk6hVma2/0Ai2wtJbJRbeCPaARMVn4NWLBUffLuMqk9j7OMgGqFwO9V+EzT+FVd8UVBwPJUv1NucNPwBUQNadmRaPxLF3SWz5pUY6KjG0RZ+HuPBaiYF1ukNq8Q/1VGh3JdSeDjvugJ5Vehu2LQDhLpCELlpWngBdL+tzJevPkjFYJNbfAH2vw8IfqngqZLxTJOZN+fgdagfCVNccVqeeY0voDep9uVQ7phJRQuyJbieeEuSY3BS6bfQrjUTVo2lxDvFyby8XVs7ANLuUP4z8HmOPGZtspyAVIGiJUuQop9Y5lUf77iXH5GM0NYTiUZji0l3CXfE23hh/mS+Vfh2TbOYI/3uv/P2x6TXC6QRfm7l88rbtw+1MD5SjaCq90TEyqsL20EZmuOfxy+PO4ImOl3hibw9fyS1DE4I/7FnLQHScS2Z/lsOKK1jfv4enOrbzRk8vh1ZVITphTV8jZz7zU0odfkYSYeYEqgilu5mXV0OR08dFM5fzYOOr1HmKaAn2c2LlfN5o30ntuJvH977AURUz8UczSA4TIpxm2BjDe0oNthrPv+kI/n1i4SRNG3owWQwgSQx2jpNKZPRAkv4oQtPFr8hEgtBoHEmWGOsPo2ZUGtd3IYTA7Xfsa9OVcXit2JwWlLRKoNjNaG8YgLr5JbRu60eoGuHROIHiHDp3D+HIseDy2fXEZJdlcqZgzewClIygv32cZPSdWWzppIrZbmS0J4zBJJNb4sFf5CI8pBAcTQISBrOMw2WhenYx6VSGTFKhb+8osVAKo1lmyqGlpOJp+lrHsGhBPEN/JVTwbYKDEX2GIhICgdEoT85yBDBZTGiKhtNvIzaRJDQap35BCa3b+nB47FhsJlIpheBQFNDdn6AnT8fCKYTY5ywM2AiPJnD57VgGI3TtGkY2SiDAbDWhpFOkkoreth1NYzTpomoqkSI0EqNmThHJvSO4c3VRNREZIhFJk1uag8liJO3IMNqnP+9jfRHG+iO4vDYi4wlko0SqcQhZlhFAYaUPs9WIzWWhtC6X9p2DmG0mImMJrHYzg+0TVJ0bweEzAW4kScJolLE6zUwM6vvpyLGRSigMdQV1d7jVSMeuIapmFJLe5+AE/XktqQvQtKkHm9NMOqnQtKmXaYvLyfmUuhWtfgn4x8Ki1X9wvwtstg8Ov4lGo8ybN4+HH374Pffl5uZO/tvh2P+4HOjj/tG2AZ599lmKi/d3trztOPlHXHHFFbz00kvcfPPN1NTUYLPZOOOMM/ab2/h+9f8r/O261q9fz4oVK7jhhhs4/vjjJ52At9xyy37L/a2QJ0kSmvZOS7wsy3rY1Lt491zGv+WfOQYf9Hp4+3jcddddLFiwv8PeYPhkjefIkiXLv5l3XRw6KMt9SP7e52c0GqWwsJDVq1e/5zEejwc48M/Wf/Z74h99tmfJkuU/n38p/Xnr1q289tprNDY2Mn369P+IOYv2XJmGc1T2PqaLWo4iiPbAkb+QGW/R6HxOFxwLF4DJLqMpgqEtgorl+unOxF6NN38imHqehKtEYu01Gu4ycJXrcwQbH4Zp50O0F1qfhHQIjFaYaAKTS28/Bl203POA7tQb3KhR8Rm91djihWnnyuTNEmgqdK/SU6jdVdD8Z0H+PAObb9bIxCE1DkabhLtCb60e26MnS6/6poYQurPwlW8I4kNg9QtO/KOBBd8XOPa1FGeiusuo4YsyfW8IypYLLF7IJAQdz0DxUgh36zWlxsHohvXXa5icEGqHTFzgnwYTLfDatwSOIig5EuIDEumw7qLMRPUAluggqHGY+78SjQ8LZBNYPND6BOTOhXQQVq7QqD9bFxTrvwTrvgf5h2q4y3VRtPIE/WTS5PzkCoyF1lJUoRBT9TlzfckORjPD5JryebW9j0JbnPOth7PetYPBZB9fa/gmX60XXLLqDmKlq0iZUxSPBxjOCdHCOFoGhkODTHfPwWZwcJjvKJwGJ7L0Tit4hb2GgoQPoWpIhvdvEa/KKSSpvHMSmdFULnjx19x3/P8yI7eCXx2luy6W553OUKoflymHwXCcqb5SIuEc8rz52Pw2Xu/dzV/aNnLOgkLu39hHUsmwuCKP/sQwi8rzOKPiJAZjIdb2N3JoQR0v9mxHAn655S9cNGs5CSXDaTWHsbCojhXP3sor3Ts4qmAa37EeiTHXhvvIUlJdYewNfpyHFzGY6aW84ONPy9v2Siv2HAu180tw5ljY9UYXvgIn4fEE0WASSWbSgTjaF0Y2SlhsRpKxDBa7SW/BBcb69ddFeDxOPJQinVLo3jOEktaQDWA0mxhoG0VT9B9bAkHn7iEsdiOpeAZNjWG2mRDoidGGdJqWjZ0ocTtF012kYmmEYFLgSycUHB4rBpOMr9DBnnU9GAwyIGGyGFBVDYPJwM7XO7A6TUSDSYz7hC0lrbHtlVZdHEuPkbJNJx2YTcBvp2/vGELT6wNQMipun53QWAxNE4z1h5kYjpCT69DnQ9qNSLJEMqaQiod5929Xe46FwkofPS0jxIJJJOkdaSk8msCRY6H9rQEqpuXTsc/RmVL12Y3ppIKSUskv89DfOkYmpZBJKchGmZK6AO07BpANEoEiN5mkgtVuQkiQ3tfCbjTpQoDNZcZiM5FJKyhjdiRFQyOFZhCkErrjtKtxGH+hC5vDTE/LCHmlOWia4JDj9dZIi91EaCRGIq4C+sU1q9NMbmkOVrs+S7O3eYSqWYXEQgni4TTlU/MYbB8nNBYjNBLDajcRKHYTmUiwe20X6aTCYNcEslFGaBq713VhsZmYcUSlPnfyU0TuDLDlfnALtC1XX+5gUltbi81m45VXXuErX/nKe+6fO3cuf/rTn8jLy/tQF00P9HE7duwgkUhMilkbNmzA6XRSWlqKz+fDYrHQ3d19QK3O78fatWs577zz+OxnPwvowtg/Cip5P6qqqjCZTLz55puT7pNQKERLSwtLliz5wMeuW7eO8vJyrr766snburq6PnQNubm5DAy84wwPh8N0dHT83eX/mWM3c+ZM7r//fjKZzHt+0+bn51NUVER7ezsrVqz40PVnyZLlU0xBoZ7y/EEt0A6nvty/kblz5zI4OIjRaKSiouJ9l8nNzWXXrl373bZ9+/Z/eF7f0NDA448/jhBi0q24du1aXC4XJSUlB6X+LFmy/GfwoYfU9ff38+Mf/5i6ujrOOOMMfD4fGzduZMOGDf/wiv8nhennGzjuXoniI/R25OY/C3z1UHKEHlJi9ULtGdD+V41d92hs/JGg9zXY+Tu99Tcd0V13Q28KZAPkzQN/gx6gUv8FPX25W5/VjsGqC5eyGVRFn6koGWF0J9jy9GXVtN4K7CqDdFgXzcqPk6n8jMzMr+kipZqC8T3w4oX6nML8QyA+Ck1/FIzuEmz4gcZbdwran4HkhJ7M7K6AhhVQdaq+jfaVGgXz9VbJgQ2C2BAsukHGkgPdLwvan4K+N6DzBV3wiw/r8xCVmD47MRUCIfR1BWbCRDN4a2H+d/WU6DmXSsy4wEDxEfoXi1BASwMa2H1gz4fNPxeko+AsBntAb48efUv/v7MEYgO60Nn+NCy8Xp/fuPdRMDoFO+4QbPuNxrNnqaz6pp6AGhsQdK/65FztshlsHJt3CtNdc5nqnM1YZoRF3qOIqhGO8Ocxy59LibcGt9HDm8E1gH7F7oIZx1PucWKWLJhcdk4s+DwOi5uF3iOp3zfz0GXMwSKZJwVFpXscbTyGJElIO4YRwb/fUrGgsI7FxfVMpEcBMMkGNp59MzNyKwA4//lf8mz7m4ykh1gz9iKKUCh2e6g15OGRS2iNN+F1KdiMZjQh+P26LlKKQoXPxbquYQrsPmaVWTGaY3SEh9gz1s2mwRam+cs4reYwFhRNIZZJcfv2Z3isZS2FDj8gkVTTnDljCb7P1eE+shQAS7kb72k1mAJ2Dims209A/TgQQuDwWIlOJGne1EPrtgGUjMqeDd043FZ8eU5sTj1lORpMYDTJWO0WUkldSHxbUJSN0j5xDbp3j2B3W+hrHtXnKuY6MFqMpBMZ7DlWSusDTFtUjs2ht1OqGQ3ZIOuzETPqZKsxBiMYTRgcKmP9YQxGPcTibccgAmKhJNGJBD0t+rFXVRlkyKRUNEUwMRglt1Sf+2cwSji9+ue4w2vB6bWiaRpvm3CScYW+5lEcXivVswspmRIgUOImHk6hZFQ8AQe+AicACTXN9/Y+iM1lxmg00PJmLwANC8uw2E16CzGQSSp0Nw2Tjiu62ChJehL0vmsHqqqhpFVCIzGmLa6gqNrPrKVVBIejuLw2DEaJRDSF06fPprTnWHB5bQz3TCCEoKjWT3/bGE2berDYTcxaWoU3z4kn30k6qSAbJWYfVc3UheVMW1iBLe3DFHfj8toorPJhsRopqfHjzXMwNhAhPJ7gkOPqqJxZyMRQlNBIFFmWyAk4MFmM9LWOkYzpAv5Id5BoMEnljALsORaUfWJxfpkXJa2QSSrMXFpFXqmHmjmF5JZ6KKj0kVuSo8/JlCX8hS6EJrDYTdhdZgIlORg/YaFFBwPJIDH74g9+r8+++OCHtFitVr773e/yne98hwceeIC2tjY2bNjA73//ewBWrFhBIBDg1FNPZc2aNXR0dLB69WouvfRSent7/+56D/Rx6XSaCy64gD179rBy5Uquu+46Lr74YmRZxuVyccUVV3D55Zdz//3309bWxtatW/n1r3/N/ffff0D7V1tbyxNPPMH27dvZsWMHZ5999j/lEHG5XJx77rlceeWVvPrqq+zevZsLLrgAWZb/4biN2tpauru7eeSRR2hra+O2227jySef/NA1LFu2jAcffJA1a9awc+dOzj333A90CP4zx+7iiy8mHA5z1llnsXnzZvbu3cuDDz5Ic3MzoCd133TTTdx22220tLSwc+dO7r33Xm699dYPvT9ZsmT5FCHLsOjwD15m0eKPJKTlgzjmmGNYuHAhp512Gi+++CKdnZ2sW7eOq6++ms2bNwP6Z+vmzZt54IEH2Lt3L9ddd917RMb34xvf+AY9PT1ccsklNDU18Ze//IXrrruOb33rW5PzFLNkyfLfwYd6x59wwglUV1ezceNGfv7zn9Pb28vNN9/M1KlTP6r6DirD2wQvXqCLUcEWQdcLsOgG3UmXDglWngWhbt1V+PoVEBvUBS5XiS6ylR4DubOh8DD9PkeRRGCmxOhO2HY7JEahZzVUnyKz6IcSoU49+bjocL3tN3+2PrvRVQKFh+vt0GYP1JwGS27WZy92PKPXmhjR2P47lefPgXXX6yKbNRemflHixD/LlB8r4y7Xhb+mP2iULtO3VXoU2Av0lmbZpNclSeCphj33C7bcotK3RiBbBFavvn8tjwuOus2AktD/dhZD/Rcllt4sEWrV1+su1UW/JT+TKFoMgxtAZCBvtkR8UBc9n/+iYMedKrJJ4pTHJeZcou9vfBhc5XrLt2wEVykMbYboiC40VpwAw9t0p6WSAN80qD4VSpbKFC8CDODIk5n9TYmiBRLJEEy0wlijyquXaey+V5+FqSkHNpPro6bCXssi/zIiahiDZGRvrJFMxsxjAy0U59XxB/7IhDKGomV4K7SZmBKloUtQoxSjCgXFYWLV+Erd9SipKCJNNBVmifdYLAbrOxtKK4iM/nq2LKtH9js/sK7uRBvPDT8x+bdRfudk7OuzT2BB4RSKrKUc4zsTVbHyrYoLOXd1GdNMhTT2mPHJ5SiKwGN2cmLNHNwWKxfMPpzrlh6LZIyQyqj84s0XeaTpdWxGM18MzuDHtpO56YhzuWLeZ7l710ucXb+U+5ZfhsNkZeOKm2k6/3ccVlh/cA/AQSQyHmfTymYKK30UVvnIK/MQHY/j9tsBia49Q7TtGCAWTIEAb76LQLGb/DI3JvP+TjJNEaQSCnaXlZxcB0VVPjIZlWgwSSqeJh3XW4BHukPEwymSsTTxaAoAp8+OklaR3yUYGs0Gpi4sp6g6F4NFQlU0FEVDqPveB2+f5wv9YkBkVBcijejuP9n4jhAw3jWApigsOKEBeZ9TMTaRIjyaoGFhOXHhxWw1UFLrp2ZOMalYho5dg4RH4xjN8r7nKsH4YJREJI0kSzisFq5wnEbFtAIKa/z4i9yYbUaEBlMPK6N6ln61PpNSyST117Hbb6eo2k9+mRer3YTVaUJJqSDBUFeQ7ava6Ng5xEiv3j6sCg1NFYwPRImOJ7C5zKQSepAMAiRZomv3MIPtE2RSKuHxBHu39NK5a4jxfa5R2SATGY8THIliNBsoOiaD4h9FUTRioSTplMpIX4jaeSVUTMunrF5vm9y9tgvZIGF36+/J8cEITo+VggovAoGSUamapc/FDI/F6W8bZ7Q3xK61nYz2haiaVUhwRHc0DHdNkE5kSKcUBjsnaNrYQ0GlD6fXSm/LGEITGIwG4uE0/kIX8r75osn4/i2s/+mULJFYeIOM7W86U225sPAGmZIlH41L/ZprruHb3/421157LQ0NDZx55pmT857sdjuvv/46ZWVlnH766TQ0NHDBBReQTCY/0P12oI87+uijqa2tZcmSJZx55pmccsop+6Vm3njjjVxzzTXcdNNNNDQ0sHz5cp599lkqKysPaN9uvfVWvF4vixYt4uSTT+b4449n7ty5/9TzdOutt7Jw4UJOOukkjjnmGBYvXkxDQwNWq/UDH3fKKadw+eWXc/HFFzN79mzWrVvHNddc86G3f9VVV7F06VJOOukkTjzxRE477TSqq6v/7vL/zLHz+/2sWrWKaDTK0qVLmTdvHnfdddekY+crX/kKd999N/feey8zZsxg6dKl3HfffQd8PLJkyfIppqoKjj1edyy+G4dTv73q3995I0kSK1euZMmSJZx//vnU1dVx1lln0dXVRX5+PgDHH38811xzDd/5zneYP38+kUiEc8455x+uu7i4mJUrV7Jp0yZmzZrFRRddxAUXXLBfMFeWLFn+O5DE3w5R+ABkWaawsJC8vLwPvDK9devWD1xPOBwmJyeHUCj0b53BmIkKtv1awxqQiA0Iel+F05+XEUJ3CL7xPY2CBXr7s9kJC6+TSY5Dx3OC2v+R6FujEe4CT5VE2zO6S7FgATT+AZxFuhg565uw8w74zMMSr166z9WYBDQwOXVBbcnNMqlxwcsXCQw23WxUdqzE4JuCwvkw3qInOxsdeohMtF+fQagk4bMrJdQUPPM5Qe4cPbE52gMzLpRJRwQFC2DzzwT5h0LlcpnXrtAY2wPOQnBXwtgumH2xxIYb9MO+9FboWAkLrjbw7NkqJhtUnSzhLIJ11wvsuXpYS8/L0PnivnbxbvBNhWCrLhZKAmZcKPHG1QJkOPYOidYnBaFO3TWZGILKz0AypDs0U+P72sAlPYwGQLbo7dFqSq+zbBlYAxJ77hPUf1Gi+iSZ1d9SCXfpcyxjfYCst6mXHiWx4zcC31Q4/MefHAfPYLKP1aPPE1eiVDhqcUpOCjusbM5rJJWMU+s9gkGtkUM8i9i99w3y8ipo1zoIZcZJagmOzj0Jj8lPS3QXNb159FoHKa2Ygdfk589993BM7skELPn7bfPiV+6gPD/JWdWnUmp770mOomUwyia2hzZhka00uGbyWMtaXGYbJc4A0wJl/GTTo0SVED9c9BUGwt28GXqLtR0jvNL9FocUFZFnc5CfY+XhbY3c85n/5adbH2D7YB+fm11EKlLAX/e+BUJidiyP3xx9EVqVnQUPf5ufLDmPEyrnfezOww+Dpgl2rG6jtC6XQEkO0WCCtu39yLKM1WUmNBwjk1Jwem16cIrTRHg0jsVuRkkpSPtab/vbxgG9LVmWJTJpVRfN7CZsLguxcAqzxUigJIeOtwYJFLno2/cYJDCaZZSUhtVpIhnN4CtyMd4foXZu8eRsR00TkwLcu0fTWZxGlKSGqmjkF4Bp7C2C1pmk0gaUjKanRQPV03JIpo0MdU2gpPX09+LaAP5iN00be3TRMq3i8tqIhRII9IsQdrcJs1VPOzaaDPgKHYz0hREqGC0ydXNL2LO+m4bDSmjZ3I8QgtySHDQhiIwn9psDWVDpYagziMtnR1VVYsEUFoeJTEpBU/RQGk0VlDXkMtg5QTqpC7EI3Qmqh7KYiQWTmG0GzBYTdo+V8b4wkkEik1Rx+qxEx5PIBgmb00IilsKX70LJqExdWE77WwOMD0YwW416e3VaRTKA1W5BqIK6Q0qwOs0Mdo7Tt3eMTFKhdlYpbaujBGYKIsGE7mwdT+D0WKk7pARV0QiPxRjuDjLWH8FiNzLvWL1tumljD5m0QjySwuY0Y7aYqJtfMikcRicSNG7qZuphZfS1jjI+EGX+Z6aw641OYsEkNbMLySv3fqTvg3fz7/j+FqrYN4dYYPVL5M7goDsUs/zrxGIxiouLueWWW7jgggs+7nKyZMmS5ZOBpukpz/G4PkOxoPDf7lDMkiVLln8nH2oo07XXXvuhUmU/acQGdYeb1CYoP0YPGEmMCZ4/V1D/BT3ZeNY3weKWeOsOwevf1bC4JHrXCGKDAiWhi3KtEcEh34Fdv4e3fgfWAEw9R58PqCb1NuaXvipIhwAJjr8fVn1Tn+E43gRPnaQx5QuQd4g+P8pghqIjBM1/0gNSYgO6k3FiD1g94CiA4sWw+WaIdMOrlwkqT9Bbq9v/CpUnQsGhEm9bkwY2qoQ6YPfdGoddB12roOcVyMR1B2PpkXpi9Z4HBX1rJJS4YOddGoFp0P0yuMsFe+7f1+LcCAgoXKS3U3unwBtX6cKfswR6V0PRQsipguLDoX8dvHSRLrjKJt0FWncmRLr0515ogAF89XrqNJLuQlHikFMDFcshPgStT4GjSBAfBotTsPJLKlUnSlQuhz0PCZwlkFMNORWQP0+i7BiBxSvR8ZxG7kwJZ/HH/zp9dvBRVBRKLOUYJSNzvIexLvo8hRQxpdvHih0PcdqhuRxpWA4FTopyavAq+awdf5WklmBLcB2H+4/FKJvw19fRHOonpSWRJZkSWwV9yW4Clnxu2fwUefYczpxyBIcXT6Uhz0+BRR/qr45FUduGMR+qXx3VBKhCoSW6m0JDHctfvI5zpi5jOB7iitfu5e4TV3BUdTFrhvRk0L70BE+0rmN3b5JKTz69wQS3LPkm9zU/id1sxWwwkmsuRFH6sZNLb3oYAdhMJs6rX0bT1maq+4t58bQfkNOhEnq6He+pNR/XITkgRvvC9LeNMWVeMWODEWYfVT35uWe1m8kv92JzWjDbjDg9NoLDUSx2ExXTCkgnMnpQy1iM6HiC+gWlNK5/J2XVajfpbdECMmmFZCxDcCSOw20hFElNhoZYnHrbs8NtIRFLU1yXS9fOoUkB8G2XXU/LCGpGJZNSKaz2EZ1IIMkQm0jiyXMwNhDV24r3dTsWxVfTHs3HVpDDlIY82ncOkEkqRINJwkGwuuR9LSsKdqcBi81E69Z+UvHMZLuyqmm8u3syHs4QD+st3rmlOSRiKewuC7FgCiWlEQsnMRhlVEVgMMmkEwqJaJpoMEH17EL2bumntCGXicEIw90hhIDwWJy8cg+xYAo1oyLLMjWHFNDdNILQBN1NIyB0t2ZOrp2xvggIvVU6FkwCkE6ouANOkpE0mibQMhqyUSI6rt+vqQJNCAwGmbxyD/FQir69o4z2hVDSGkaTrIuWAlBBM2u4/DZ6WoYJj8Qx2/Wvz4JKD0aDkfE3bdgrJwBBaDhKJqWSTmXY/EILRTU+8sq8tGzpo7jWT0GFj2gwQU/zCGX1eZjMBkxWPbW9Y+cg6WRGn8OYVggORymqCTDUFcRs1V8X21e1IgRY7Ebadw4SGU+QV+FFksDp+c8YQ/JBSAaJvNlwMFOes/zrbNu2jaamJg499FBCoRA/+MEPADj11FM/5sqyZMmS5ROELENR8T9eLkuWLFk+JXwoUfHdLTn/iUgGKF4kUXemRPcresvs0GbBET+RyJ0JzmLBuu/D/O9C9Wd10Ss5LjC79Ll/yaAu8NV8VmLzzwTuCkjaoWA+bPslaAp46yAd1QU8ix9SY7D6Msibq4ebpIMw6xKYaJKY+VWJzT/XmNgL0W6JQ78HzX8SRLp1N2HBjTLBdu3/s3feYXJT99f/SJreZ3vvxevejbHpxXQcSAgkBAgQSAKBJLSQhN5LQk2AJPRQf/TeDDbGHdvrut7m7XV2Z6f3kd4/7rJgqiG05N3zPH5gNdKV7tWVZnR0vueg6EFvlag+VsVVLbHfrRJ6h4bRDs1Pa/Qsg0kna+it4gFMTYuSY0mGlVeIsmudURB/E34qo6kaviaN4S2g6DXScREIs89fQO8QKslglyBLJRnWXC1CXxY9JOEolnFWpGl/GQr3FWXhihVGmjUSAdjvVpltD6n0rxF+invfCB1vivaK9hbekbIe5lwMr/xEEKr5e8DgevBuA0fJaFm4XRC0znJYe4NoS01rbLgNbCXgaxIvAnuWQ/86lVRc+CuqCZE+/X0gFX9U+HOe6LkXo2KmM7oTvaQjw12AJCksmbiJBzJ/T3N4K/7UCPu5D6Vh0xo25mwGYJ+sQ2kNN0A8BX1BqFVYkH0g/eERnm9ZzfSCclKaIHImZBRy47pnaBnp5aK5P8Si/zAVVLYZoSgDgPDgCHet+D9cdU66/WkWzZjK2TMMHFExh2eaVzE9u4xXWut5sXE7Rp2B8yfCL169jymZpThNXvYrnkq+zUlSjVKVbeXFH/wRs87MjXv/nM2edu5etxG9rLCgcAJTyqP8acPjnGjZi4KtRmxI6CdkIP8XeME5sywMdo6wdVUHOkUmt9SNMloq3NXooW+nl3lHTMDT6adr8wjmDBm/J0w8kqRuXgmRYBxZEio4T6cPk9VANJTAaNGTjKdJxVV0BoVUKo0kC2JIVTUyCx307xxB0cl0NniwukxMml+KpEjsrO9jyl7l+IZCdDV4sLiNREbiqGl1LGzE0+WjYko+bdsG0IDyaYLsTSXShP2CZDTNPInE8i4MgNGsx2QWqj5Xjo1EIkViOIUj08xIT4B02kp/u5dwMI4jy0IiliSdVEknVUxWPbIiEwnE0ZtF4nJekQX9+7fSn/kznL4V4FxIdomTzAIHEX8Mo8WAwaRHTQvVpCvHRn/7CJIEXTtEOofZpicaHE0c1KC0LpuRwTC5ZS6cWVbSyf6x8m+DWYfVacbbFwIJTFYDsUiCiin5dDQM4Mq2ARoBbwR3ro2R/pAIodFLpJNpCmuz6NzmIbvYSfOGHsx2I2ab+KepGpMWlNLdNER/2wgaGsl4isEOP3qTgrvAhm8wQiqeQkPC4JCY92eZsN/KULcfTdNw5dgw2w0MdvoIeKN0NAxSUptDbqlbeCJK4MqyYnV+WDqqqhqRYIxwIEYkECMRTdHVOETdHsWYLHoigThqWkNWZCwOE8OjJHQkHGfH2i50OpkZB3y/Sftx/Hfj5ptvprGxEYPBwKxZs1i+fDlZWVnf9WGNYxzjGMc4xjGOcYzjO8KXKn92u92fqlR0Op3U1NRw/vnnc9BBB31hO99V+TOAf6dG1zsqOx6FY16XeH6xhqTAnPNlVl6mkjMDIh5ByuXOBDTImiJRcTTU36ZRcTS4qyRiXglLjggv0ds1Xj9ZI+YHZFDjwsOMFOQvEOpCnRWsuSLc5OB/yfSt0bAVSnS9rdL0JFQfC9N+LfPWL1WMblEGbM4Gf6tIks6aKlR+s8+XsBXIvH12GnOW8CKsXAxtL8OMc2RMbo1l52vYSyAeEKXCsWGoPEooMIc2a2RNg9bnRQCMJVskR4e6YN2NGukEZNRBpF+QqCY3JKNCmZgMgKsCJp8Ob/0KcqaDvRAanxBEYcVRMOF4GXPWKLmZ1IiNwOs/Vzn4Xome96B7mVAx1p4gseZqDUkWpdSVR0ps/qeGlhJBNuEeOPYNhZhXo+FRldbnhCKz9z1ICJEWalKMt6wT/6+3i/8qRihbBNN++d0TWN3RdpYPvYld7yCpJkmoCTRU5JTE5N5ieqviTLBPIV8tZPD+zbT/0I/T4KJslYGkzopvjyTZfSbMtcVIksTzLau5aPmDvPSDS6ly5ZNU04wkB0mldPz6zXu4Zb9fsDO4k0yLjekZIiZ1MN6HpmlkBe00du7g38lVPNewgzU/vgnWj7A+3cUVrc8yIIeYJRcxZIyh6iVeP/YKbt7wCEPhOEdVzufsJfdw66GHk9IS7J99OKt7d9A40sNQNMhPJuzNwU9fit1gJpKI88jRv8TUqCMzZeac/se5fJ+fUpFV8KljdMYbd3JYxWwWV+3xbZ6az4RvMETIHxtVwsmk4mmKaoXJ26ZlO8ktd5NX4qZ3lcqW54eZ8DOVsD9KLJxEZ9QRCcaQZYm5h06gq9EjkoVNehrXdZNMfKga1OkkdEYd0/erZNOyNoprs+htGQZZIuSNUrdnCT2NQ2QVOenf6SWVSpNKpFHTGjqjIJUCngg6vYw900IkEMeRYUbVwGjWEfJFsdhNeLr8aICaVpElCVXVqJ1bRCqhYnOb2Laig1QijdVtIhlL4ciyMtztHw1NATSwuc1EQ3H0BoWyyXk4s6xsXdFObpmLRDRFd+PQaGl2ApvLQMQfR2cyUD2rkI5tg4RGolgcRix2I8l4ajQxW8JgVIgEE7uUbH9Q4izLEnqzjnhYkIylk3IZ6vbjzLHS1+rFnSuSpT1dAWRFQtbJmKwGTBYDmqoyMhBCkiX0Bh1Wp3EseVvRyxiMCvZMK4MdvrHznlPqIqfEhU4n07ium1QyTSqVRpFl0mkVi9NExB9HUiRqZhTgzrWzfVUHhdVZREMJBjt96E06fIOhUT9HmHd4HZIEm9/dSdgXFwSiBHV7lGAw6kin0jRv6KV8Sh5Gs55YJMHW99rJK8/APxjCPxTBmW2lqDabzm0DGCw6DEaRpD3Q4SOdVJEU8d1Qt0cJrmzrN15N8F1+f49jHOMYxzjGMY5xjGMc4/h+4UspFW+99dZPXe7z+Vi/fj1HHHEETz31FEceeeTXcWxfK7S0xopLVPrXQdF+kDkJ+lbCpFOgaB8JSRJ+gIEOob5T4+BthNrjYPvDGtnTZXw7NUZ2wKrLNbKnamRNlgj1a/S+J8qYVVWUK8fCjD0gO4ohc4Jot2sZ5M4QhOVIo8a66zXcdcJPUDJAeECj6miJkRaw5GrE/RAdDTlJRYXSsuERDYNDZfLpohS7YKHExts1kmFQjCrrbhY+i9Zc8LeA3iW8CvtWQf4eGlU/kAj1QtZUjbXXQd1PNSafqmAvVoU/oiJUgjN/K2HJlmh+RqX9dUHWpeMiTMVTDzoD1P5YJtAhGBJbMbS/Cv5WFb1dqB2L9oOpZ0gU7QNb/6VhzoIZ58D6v0DbK4L4lA2CdK2/WyPcDbPOkzBlanjqYWiLRjquYcmR2Ot6Udpc82MJX4tG8X4w0iwIxNgIxIag/FCJ92/WSMVFAE4qpqEmNNpegVRco+4nMrL+21Uw5hoLmeGah4TE0uHXkFEotVSi1+twFZTQoW4jmo7wbuRNvMcMYcLMHq59SZQNoMtx8krwEfYrOwzLKFFwdNUezMuvJc8qPNQWPnYhx0wtYY/8CTy3WBgj/2nlvUzPLabOMQGjTk93tJ20lsadMY+b1q9kTV8j5885BpIalzU+xXp9L1UZedj1PSzIsRDbXsT+B+wNwKbhZkZCcP1ep7LyhBvRyRJNvh7W9jVx1tv3cMNeJ1PrLiTflsHt+53B75b+g59Vz+D5l9cQ94bJt2dyxPw9yHFm7DIu6XCSkC7BT16+mbNnHMHM3M822/82kUwI4i6VSGGxGTGY9cRIjn1usRtp39xPbqGL/D0k3DVZmDMl3n+9iVQyTSKWQmfSkYgkCQeiGEw62jb3k13sJBFLYTTrSSZS5Ja78HQG0Bt1RMMJiqoz8XvCREMJnDlWHJlmWjf2YrTohUIwpZKIpsaOI6vAQX+bD0UvPGF1BoVUIk0inqZ4QjbbVnSgqRrJWBqry0TQGwUN1NF3SJ5R9Zwkgd6gABoWm4HqvSvweUIM9/gFqaqXqZxegMlqoKd5CKNFlN8OdvhIxFKEvDEGO30AxEJJZJ1ERoGLVMqHzWmm5f0eNAkKqzPp3TlMJCCCZ2QdSJqEojdgc5kIjZYsm20GErEkjiwLik6iZEIOnu4AA+1evH0BjBa98DiUIJ3SqJldSHFtDgazntUvNWAvNuMfDI+Nk6pqTN2nnKb1Hya9ppMqrhIXRdVZhAMxov44KhpqWqVtaz+xcIJ0QkXRyRTVZJGMpSmpyxlNuE6xY003LRt7mX1IDY5RpaErx4bBpKNlUy8Wu5Gp+5STTql4ewN0NAyiqhrOLAsFVVkMdvroaxmmdFIuwZEovoEQ6iRxHzVZDOgNOnR6hZK6HLwDIaLBON1NHkL+GBlmO5mFTrYubx8dRxk1pSIrEiFvBLPNAJpQbY5jHOMYxzjGMY5xjGMc4xjHN40vRSqefPLJn/v59OnTue66676XpGJ0SMO/Ewr2BEsO+Bqhd41G+yuQP08QNu4qjezpMPlUmbXXq2RPgeL9ZUoO1Aj3afjbhHowPiKIPv9ODU0TqcxF+0Hj46L0WDaIoBdTlghBSQTA4BDJzBm18MapKvvdKeFt0hjaDKiizVd/onHgPRJRn8bWeyFnhiDyMidC59sibMWzCdJxjeYnxT67lmpUHysSmzf8VRxXTA+ZdRDqE16Gk06HxkegbzU0PaFx9IsyOptGqBt2PAaKMY1nsyAwJ/wUmp+Ghoc19rxSJu4TRGkqCcX7Cw/FDbeKMm97MWy6SxB4yVH1YOXRIlCmdwV0vg7D2zTUmEh5HtwEGZMh0C5KwWXdaNrzRMjfQ2LHvzXKFgnFUTKo8u4fVNJRKD1YrDvSJMbU5IZNd8OcC8TxpyJQMF/C6BIKS2sBNDwEOx5ScVaClhZEazopFJXfJvSyngn2qXgTHnINhQwkevEnRlhc8FNWDi+hvMlBj7uBJstOik3lzHLtiSTLGCeJZNzjtFMJJH20+vrYPtzFwWVTaY69T5Z5X3SynnsXnYPFlKQr1oo/OYKqpfnVlKP5+6ZXOKTlMi7Z48fsXzKftJpm/mMXcuPep3DalIN4aNvb3LHhRWJKgoX5k2gY7iQcTPHjg0/mz8EnMPZsZ2p2GbfvdT790UGCiQh2g4VGbzdXrnySGTmVrD/xFt7u3MyjO96lKzhEmSMHFY2gN8EO/wB1hjziU60cV7vXLmOiqRr9168l4+cTOX3KwRxQMg2D8qVuRQI966HtXVj4u6/jVNHbOoxvUCQAy4rMzi39TNqzlNxS19g6OSUu9GkLzx2pctRzMqYM6G8fYfJeZWxf2YE9w8JQr5+cMiebl7ZRUpdNSV3OaCiIgen7VzLSH6KlvhedQSHojdK+dQCjWc9glw9JEn6JeqOO0sk5pOIp2rcOYrIayClxYrTo8Q2E0Rv1ODItmGwGPN0+hnsClE8RCsKNS1pGy4H1TJhbjG8oTGBIJFbHo0lSyTTJRAqTVY/eqCMeTqA36nBmi/TwrkYPFoeRCXNLMJrFBdPd5GG4J0BOqZuuRg8FFRm4cqwMdvowWHTIgKxXiIWTePuCKIrMcF8QTdOwOU1CxWcQBCmSsIpQjLLwahwtBQbIKnQQDSUY7g+ipTVG+tvIq8gYTT6OIysJSiflMNTtx2wz0L1jEJ1JJ3wUNfHyKBKI48qxojco+IcidDYMkkqoo+fPiazIZBc58fYH0ekU7JkWbC4T/uEI4RFBbso6kaadW+wmmUiz9pVGzDYDqqphMCkk4mm2vNtO2aRc9EYxd5VRgi8SiLN56U4iwQQT5xdjdRrRkIgG43TuGKRsUg6phErIF6NhdRdzFtWABOtea2LywlImLyxDVkTojD3Dgm8wxFBvAEWRcGSYcGRYKKrNoqd5CDWljnldBrxRwgGhJq2c/umq4HGMYxzjGMc4xjGOcYxjHOP4OvEVnuQ/G0cccQRXX33119nk14JkRGOwXoR77HmFQve7Ko2PaMLnbz/Y9qBK91JBRpUfKrPxdo3sqRJxH9T/TUVnlJhwoihni3rBWij8/nQ2UZrs2yECTUxuUPSQ8EPaCMFuqD4akjFofQZKDhBkWtF+oiR5qF6oFCuPhLoTZSoO14h6Yfv9giSc9yd4+XiI+8T+zFlgSAiloKTAwPtCcRloB3eNROHeGgPrYL87JQw2GW9zGjTY9i9RUpyKwJ5XSvSv1th4CyTDkD9fqA/1ZvGg37dWEH2pKPhahd+iwQ35EyQ89RqRfkASpKKWFknVpGDBtRKyIpE9Hd67WDzA586Bmb+DkQaJnpUaEQ+sukQQrOWHgSlDkIKSDHU/ldBUjbXXqUw4QWbjbRrpCFQdC93LQE1oOEoh4Rcl05F+eOdcyJ0Nxgyw5EHvKsiYCsE2kbQtIcZx7h++2zLoV/qewpf0Ytc5AY00aV7sfxxPYoCpE0+k0uikTh7BoXdhks3ElzVyu66ezuQgNZkZGO19OJJTWNO7k4PKppBSk2ijUtjJWaUAVNiqWDuynGg6wtSsBfxy6qHk29yUOXIAOOyZK5GAruAwt7z/LA6DlYmZxZxdfBC/2fwAbqOVIyvn4Ta4OW/WYsqcYju3ycapb19JLK7w6g+uI55OMi+7mjNNC/njew+xoqeBSnMOz21YTm1ZOUbZQNCmx5uj8kRwM+umnPKJ8ZBkidzfzUJxG/mBNH9suZZWkZQvkY6XSkA89JXOyadhpD9IcCRK9ewiMvPsVE0vIBFLseblRqbuVUZ/xwjFE3KIZMSpuWAAxVBAPJqkbXMfhbVZpBJpYuEkFpsJX38YDTBaDDizbWx9t41oOEFwJEo6laZsSi4tG3oBEdgSHi23RgK9USEZT7FzUx9aWpznZDxJ0AvDfUHUtEo8miQZT1M1PR+z3UD3jiFa6/uonlkAkoTBJEJWtq5ox2QzYnOZcGRasLlNNG/oJRJIMGFeMSaLga4mD/YMM65sKyBCXiRFYuOSFoprs+lv95KRb8eVY6OwKpPG97uJhpMEhiIgQTKWRqeX0Rslpu9fSfuWfsK+GHqjQiKaIr8yg8x8B6tf2oEkCXWdwaAjFkmSV+rCNxRCkcXLhK7GIZzZVlxZFkYGhOKwf6cXo0VPbkUGyWiSti0DqGmNSCBGLJwkEUshy5K4P4dFkrR/OEL55FySiRTxaILQSBSAwU5B+G59rx1Xro2gV5Ct3padpPXODyeDJkJnOnd4+EB2noinMJj0RCNCuSrrJAIjUWLRBMlYCk0DvUGHM9uKxWmkY+sgDWu6sWeYMVkM2Ioc+AbDNKzqIr8yg84dgzgzLcJfEaHmTCXS4tzGUtgzLDSt78HqNOLp8pFb6qa72Ut3i3csGfqDg00nhRdjMpZm2n7fD9XvOMYxjnGMYxzjGMc4xjGO/318raRiPB7HYPj+lV0NrBNJzR+o1GLDULg3eLbC4AahspPNQhX43h9V4gHwbBaE4bxLRHhI7wqNjDqI9sOUX0hE+jV2PCJCWcyZQk3n2QxDmwThlwwAklDnlR8iIek03rsIzLkQHYDqYzXhkwh0LYVkSKX0IJk1V6ssuEoid65EIgCOUhV/G7iqhH+jd7soaZZl8ffQZpj7R4n21zXclVB1jMQLizUO/bc2RlJUHwfTzhQPrqEejXU3quTOAt9OqDhSwt8CpYtEYnVGLdjyJdJxsZ6vGVEGadLImiLKuNUU7HwZsqdquCqFH2MipFG0UKL3PQ1vs0hlToag/g7oW6thzgS9BZRC4fXorIKON4RC05oH4UGNHY9BzbEiVVpvF6TnzpeharE4N63PgqMC9rtVon+NBpIgFa35Et3LBKGav6cgHLOnQMUREj3LoW+1xqa/q0w7S8aaC46yb68EWtVUuuMdSEhEEiEqzLXsmbk/3oQHWVJwm/MAyOXDxNaHDE3kO12YZQ+NPUF+XrA/Jr1CjiuFSTGzX/Zhu+zj3e6tLO3awqXzTwAglAowO78Mq87Gb5bcw2DEz/ScCl5pXUuTt5tYOoGUlOkODNH64lbihUkOMJVyQfUhqJrKsS9ex78O/g2zcqtIJVPUOqpxm+xomsZJr97CRDWXo/syUOel8UT8nBacwfxYMe3zTUzIKOTSlY/y2GEXsK6/GX8sjFVv4uPQZey6zPt0E5ENg+RdMAedy/iJ9T8VpfPFv68JNreZnFI3mXn2sWUGk47K6XlEI8Izz9Ptx2jWk4gmSSdzCY1EUXQyAU8Yk81AbpkLu8vM8ECAzm0e+tq8OLOs2LPM6AwKns4REvE0I/0hzHYR4KKlVVKJtOhSXQ7t2waFmi+tISsSWkojndKIhgRh5sq1ijJiGTYsaaW0LgtNFeEpepNOJETLErFRVWIkGCUzz0lgOEIinkJVhXqwZWMvU/cpp6Q2m/ffaEaSYMaBVcw5tJbgSITW+j4CwxFsLjMhX4zQSIz2bQNM26cCT5ef/IoM3Dk2IsE4LRt7MZoNbFm2k3RaxWDUU1idSVeDB29fEFmWsTlNZJc66WkaJp1WhWK1fQSjWY/ZYSS/MpPW+j78njBmu2HMZzGvzI23P0DYGyUaimOy6An74wSGo0iSRHaRA/9wBJ1OHit9njC3mB2rO9E0iAQSu5znkf4gJqsBb38Qi81AKpEiplrQjZpIGsw6FEWiYlq+8CyUhA/jQLuP2ChpaXUaUWShTNy5aXDMx7B0Yi6OTAtmm4FoMIGn00fIFyMWSlA5PZ+uHUMYLXqyi50idGW0HD3kE4pVs91IZoEdRZHR+5rItiZIGouYMLcYd66d0om59L/0T/zuvTGYzaTiKWRFJhZOkIylkWWJWDiO1bGb19A4xjGOcYxjHOMYxzjGMY5x/Af4WknFe++9l+nTp3+dTX4tyJwEhz4iIY2qO6wFEgP3acy7WCY8oNLyDDhLhaLQ6BT+g6UHwrb7IdwLm+/WiA6CKVM855oyBBEY90HefDA6oOFRyJ8HRrdQ+aXT4v9lRfgNainImg7hblDMYpvyQyUan9RIxyB3tsSqK1QqDhcpzSM74O1zVVABnfi77iTwNYMaEx6MhXsJ4rPpaQ1Jg6pjZXa+pHHA3yVWXaYy9VcSPe9pdL8DJQeoaElBvjnLofwwifq7NNZeoyEbhH+kLV8Qr6mwhqtalDqjQeZk6F8lkprLDoMpp8ukorD0dyrRQTj8CYk3f6ExtFlFMcHU00V4y4QTYd31Qr2ZORFqfwT1fxdE7Oa7QZLAWiS8KLvfgaK9JGp+JKEzSUw8ScJdq9H+mgiVKV0kzqVigt5V4pgjA1D9A5mXjlPJmgKoIEugJYQaLme6TM506HwnzfTfQM+7GpmTvl1SUZZkTi05l4F4D8uGXmcw3otVZ8Ob9PDu8GucUHTGJ7YxOCxUuYvYI38RTPhw+USm7bLeC32PMce1F6qmMWlUsRhPJVnvW4kvFmVrd4JDymfyj82v8+LONRxZOZerFp6IzWBC3x9mb0MpplNLeVS/EEdUQnKYkSSZpcddi8Ng4aDH/sg+cgmvxRtYdcKNrOhtIMfiIm7Q2HLwAMfI8ynPyOfFjo2ECyysb2rjXwf/BrvBzFlv30W+NYPbNr7IihNuwGW0fqKfajzNyHPNuA6rIO1PYN+3aPcJxW8ApRNzxXGp2i5KsMBwlFQyTU6JC0UvozMo2DMsrH21ESTQGXRk5DsIeiPsrO+jeEI23Y1D6AwyoZEYG5a0iHZTKkF/lNIJOQSGI0RHA0pSKQ2DSYR2dDUNUT2zYNTXMLjrAUrgyLSgqRqJaApnjgWTxUBHgwdbZAcJ4xTUtIY714amacQiSTRNKIpzSl1sXd6OopdwZFkIeCJomkbXjkGQJPQmHclYiuBwhOxiF65sG2WTcxloH6FmdjFqSmX76k6MZj3dTR6C3ii1c4vZuKQFs81A6eRcOhsGSMWFStmcaUCSZNy5doZ6/Xj7QtTMLsTqNNLX6sWZY2OgbYTiumysdjNN67vp3D4glIyKhKJTxnxpBzt9qKqGJCfIyLMzMOrhaLToKZ+Si5pWGRkMYcm0kE6pFE/IpqdpiILyDPo6RjDbDMTjSVIxFaNFP6oEFN6OEX8Mp1NDNhhIJjVMFj2xSBJntgVFkVEUmYA3gt8TwWw3EgsnUCWNVEolEY8TDsQAiepZhTSu7WZkIIjRMlrKDkxaWEpng4fQSAxPpx9FJ4Mm0q5D/hjpRJq2zX30tY9QPbOAwS4/qUQaT78fRW7AnmjHdtgFY1NA0cnkWQZI2nUYnQ7atg2g6GVknYzNbSQRTY2lY49jHOMYxzjGMY5xjGMc4xjHN40vRSr+/ve//9Tlfr+fDRs20NTUxLvvvvu1HNjXiWXnq+TNhulni9LKvDmw6D6Jtpc1ZL3EwmsleleqbH8QDr5PEG7b7tc49k0ZWSdRfYxGy4sqCR80/R8ULNBw1ULuPMieLPwXZ/9ewrNVI2emUD+mY5C/B2RPkXBXw6RTYWgLWPLBKsPOl6DjLY19bhZJ0rFhlcKFQj0Y8YCjDBQdSHrQWSDuFf6M+/wVelZAOio8BiN9glxTDLDxdpXIAFQeJVN7vEhJ7l8Dhz+usP1hlWRYY9ovZQbWayz9rYpsgGQEFl4Cq68UbXp3iITn3DkSrmqN4a2iPFoxiOPPrANJktBbYP87ZELdYLBJVP9ApeMtEXbT9bYgEAffh5oTIGcK9K+DhsdFuXfCD3qH8JcMdop/3h0ahQsk1lyrsveNCuWHyiSCGoE24as4+D7MPE/0ef3NIjjG4BQliIvul3j3fI1kDEoXSUQGNHJG+bdkSGPtNWArgEMe+hKltV8jdLKOQnMpM5xzyTeVAFBsLv9UQhHg5EkH7Fa7E+xT6QmEOeedf/DOj67hZy//lY1DO7n3oN9wzdJ7sBrMlDtzuWXf0zn6+WsIx6Okmge4cNYxpH1h6jfW402HmZ1VjSXrQzLPOUoAZtqc9MfC6BMa57zwdzZEOrho7g/5Uc0C3t+6la1qJ9bWON3RYSSDwrSsMvZ6/CL2LKjjrGmHc9uGF3jyiAu5df3zWPUmLphzzC7HH2v0EtvmRTukHGOpA13WJxWN3yYGOkYIjEQJj0SZvl8lO9Z2EfHHsLnNmMx6hnoCVM8uxJFhYd1rTWQVOQn5YuSVuejYPog9w4zBrGOw04c9w0IqniIcjGOyGEgl0miKTCImlILppIrdbcKeacVg1BGLJIhHkhhMOlo39aGOlj2jgsGsYDDpCY3ERMnxB9BgoN2HoleI2OooLneL4BWjgs1lpqd1GL1BYdKCUjzdASQJCiuz6G4eQlM1MgvtDPUI30MJMNn0tG8bEGnTbSP0tXmJhRIEvBHsbgvlU/IIjUQZ6g0QDcRp2dhDPJpEkmCkL0j1rEIaVnahGCSsTiM763uxZ1lRUxqlk3Jo3tDDrINrMJj1FFdnYbYa6GrwoKFhcRqJBhNjhFgykcLiNBDxJ1DV0fLjWJL+9hFABMjEo0l2bu4nEU1hsRvR6XVkFDjIKXETGI7S3+VDTWsk4mlSMdGuM8tKcGSU0AUKTa0MJ6vRVHDn2wgMRTDZ9Pg9EVo29RIYiuDOsVFcm41Or9DRMIjepENNpimbnMdglw//YBhJAmeOlbA/Rv9OLz5PGINZRzySJBKIoTPIxGNJcsvcWOwGUQafTKMzKfS1j2B3iXTtoDeCXq+MhrjsheI6GNvH5mmz++cEByOUZQmCUk2ppFWo3V+Qvzrj1/qucBzjGMc4xjGOcYxjHOMYxzg+E1+KZdm4ceOn/hsaGuKggw5i69atzJo165s61q8Mewm0vAiappGKaqy6TKXxMaF4S8c07MUSjnKJVAKWXwQr/iT8/yIDYnudWWLCcQpTz1DY80pBCLa9CE2PgaJXsRVA93KNzjeFejEunnsZ3ACb7tLY+ZLGzpdEGbbOJNrtWgYl+wvloWezytrrYGirKBle8ScNWQczfivUg3tdL4i+2JAIXxneCqmYxJTTZaacCfYiyJ4qFJZqCt77g0r3u2DK0Jj2a3Es1lyRptz8tErGRA1nFWPhCIkAZE8DnR1y58L8K0SJuKNMouJI4VdodArl5dCWD8dVMUg4K0QjNcfJzPiNTHxYlD63vynKy5sehTXXQNMTImzFkj06piZBekY8QrXp3ylCcIoPgM4lggB461cqA+8LZWdkQJwHcxaUHAR6JxQsgPbXVIxOmcK9QUuO+kCmoPVFjR2PqSCrmDKh4CNZIdpoyeG3CU3T2BHaSpoU8XQMT3zgE+u8OvA0m/3rdrvNGtskZufW8u6Pr8emN1M/tBNN1bhv61v831EXc83CE8m3ZnDEc1eyoGACh5bNQvVFWNq+mT+ufoQd/h5uWPsMb3bUA/B+fws3rH0aT8TPD56/hjOmHkptYTHn+ufym9bp3FdxGkcbp5L2xcl9dIT6thZeCmzGl4xw/9Yl/HPLG0SSCZZ1beXlne8TU5MYdXoOLZvFjz8W1gJgmZpNwSV7ENkwgKHMgWVazlce3/8UYX+Mvp1e4uEE1TML2bG2k+BwmFRaxeIw0t8+gsluwD8YRlU1pu1bTtgXIxqMM9wTYPJeZfg9EXRGHXkVboLeCJJOAg1SSRW9UYc9w0z5lFwSUeHJFxyJMdAxQmejh2Q8RdAbZaDDh87w4W1ZkiVkRSEWTmC06LE4jFicRqwuI+48O0iQTqmYHUZ6WryEfDE0DYJeoa6UJBgZCNPbPERumQtPtx9FL6wQcsvcpBJpsgqdlE7Jo7Aqi9kH1xCPJOltGSYjz0b51FwaVnXSsLqT4d4AnTsGScZTqKqKmlapmV1EzewiRgZDjPSFUXQyRpOBvtZhkdQcTzHv8AkUVGZSUJnJzk29xEIJJEUiGUuRWeggI89OTrFblG0DepNCKpnCZDVSOjkPWRH3GG1UgKc36dDQ0OklykbLjXVGBZNVj7c3SF+rl4A3gsVuRNHLJGMpsouFX6Kn20cyPpqiLUHIPg29xUz5lDyCw1Fyy1ykUyo6vUzEFyUWShDyRelr89KxY5BIIEYymmTSgjKsThPlk/OYvn8lik7BPxjGnW8nr9yNzqhDVmQUg0wqoaJpGiabgd6WYUYGQgSGI8w6qIpEJIU7x0YilqS3xYvZasCWYSar0EH55Dyyi8Rxr3+zmY6GAbYsb8PvCZFMpGnZ1Icki3Ex2w2oaQ2DWf8xv8VxfFXsu+++/Pa3vx37u6ysjFtvvXXs7/7+fg466CCsVisul+szl33fsHTpUiRJwufzfS/a+V9Ce3s7kiRRX1//re3z4/P0q0CSJJ577jng2+3Dx6+pbwpfxxiNYxz/zfj4/fqBBx74Vr6jvs37yUfvY+MYxzi+fXwpScM777zzTR3HNwYtrWHKAEmDl49XKTtEBHrsfYtGzkyJgQ0aK/6cxl4iOLaYX6Q364zwxukq9iJIxSFzgsTsCyV6VwgSb+F1Equv1Fh2vlDNlR8F1T+QCPVoGJzC28/shgk/lZHQaH1eeDJmTRPkoikLbIUSrS9oSDpAEiSbNU+QoJ1va2RNkmgIC+9GxQKzzoOygxTKDoK116n0rFJpeRrQg69VlFrnzYOc6TKeeo2t94FnAxQsSFNzPPjboX+dRvnhMtEBDU2FqqNh7XVQ9QMwOiU8mzWWnA0zz4XywyWW/EojnQSdAbJnQKQHEn6V1pc1XOUyni0aqTDM/J1My3MqSBAdEkRo11IRnuBt1uhZDnUnwtZ/iVJmoxNangVUiI1AxZGw4lKN7Kmgt2oU7qWRCIhzmDdHqBnXXq+hM4qy6expgvTseFOj4ZE0FUeBoxQUowidiQ7Btgc1UjFB8u58EfLnaXQuUUlHJUoOFME89qJv5wFckiR+UHAiAEsGX6Qt2sLppbumFs9170VaTfFI1938sOAU7t/6DtNzKtgjv/Yz2w3EI2OlxdXuQmZml9M40osE7FlQB8DSQ6/E1BDFUV1Mi6eHG959FpfRipqpJy/u4pb1z7OobAZnvHkHJsXA4eWz6Al5ebzlDYoz9CQXpHk/kcEhSyN4YpvJ+dV0ii7bkwO6jVy0/AHe/tE1bB5q57YNL7LT38/c3GrqPW3Mzavh7/WvUOnK46yCw8eOOfhuN/p8K8YqF5JeRo2kCK/uI+2LY6p1o9i+fV/W9q39ZJc4GekL0d08hLcvhKKXySl2Ys+woOhGqJ5RgKLItGzoQWfQkUykyC52MNQdxNPpx2TVEwnEads8QNWsAsK+GIoiE/RGcWRZCXojGMwG3HmCRAIJnydMVqGdeCRFKpkmt9zNQNsIJZNyCHgiWOwGUokknu4ENpcZ/2jZcmF1Jp3bBsdKhBPxNKlkGv9QGJNFj6JX0NIaOpNeEJJWA57uAHllGVROz2Ew10cqnmbGAZXUv91KPJpk4h4lpFMqyUQak1VPVqGT9q0DuHJt2N1mepqHyS520dfqRdFLBEeiePtC7HHEBNy5NqJdOygLraBDPZLy3jvoqriQvDI3ik7GNxgilUgTCcZJxFIoOoXC6izatw8QHIkyMhASpcGoZBU68Q+F8fYGySl2klnkwNPpH+trMp4CDRS9RE/LEFaXmbwyN7IsE48kGPEEiYcTxD6S4TPU6wcEAfeB8lGWJWRFJjgUZlDzMXlhGdtWdJCMp8mryCC31EV/2wgmm57h3iA6nYzVaSTojTHQOUJWgRNFJxOLJDBZDMw8qIqGVZ2ggcmiQ9PAnWtnuCeIBKIPwMhACFmR2fj2Tsx2AyFfhGRcxZltwWjWI8kSyUSa/p1eimqzkCQJV44Nq8PEcE+QrEIniWgSo8VAf9sIiiKRTqpseKuZeYdPGPN3/G+GqqbpadhGyDeCzeWmsG4SsvzdBm6tW7cOq/VDG4dbbrmFvr4+6uvrcTqdn7nsu8S+++7L9OnTdyFu9txzT/r6+r7U8X1d7fyvo7i4mL6+PrKysgDxIL/ffvsxMjKyywP8p43n9wUf78M4vj5IksSzzz7L4sWLv+tDGcc3DE3ThI91LIXBpMORaflefTf/+Mc/5rDDDvviFcfxpfBZ9/xxjOP/B/zP10m98hOVWADyF8DAWqg6BkK9Qmko6zQG1gvVXNZUQeihACoUHwg970IyKoJcrIWw+R6NgQ2iFHj7gyKgRVYE6egqh2CPRt58kTxcvVii8y3QWyRAouoHKlpakF3lh2sM1gvvxKJ9JAoXSqiqymsnjiYx26B7qca8P0tMP1tix2MavmbY969CwbTq8jQ9K2Hqr4W/YzICaLDoIYn2l6HjdY1Z58l0L09jcIpAF3OmhDVHIzwAy36vkjMH5pyvkI6r7HxZw9cCGRPF56Sg4VGNZEQj3CeUgb0roOMVoQ5ccak4nhnnaJQfJsJZwgOqIPrKhZ9i01PgKNNoeUZ4TGpJeOtM4S3prGBMIysbAAkG1sP+t8Pqq2Cv6ySGtmiYswVJ2PMuuOvAYAX3BKGi7F0BoT6NmFecL0kWbXnqYeF1CoMbVdIJDUeJhMGhUbKfTP2dGq4qERKz9nqVKb8Ae9G3/6C6T9YhzE7t6pe3LbARtz6TPFMR8zP2xyAbMSh6dNInxcQjsRAbB1uZl1/Lno9dgN1g4ZDymWSbHexfOo1NQ+20+QcwKjr+vOLfnFq4D8Nb2inR+Qi/0cn8Qyfw45q9eGj9a+RIFnDlccabfyOhpjm8fBonvHwzNRmFRIIJCpPF1Ky10pDr48EDw5xctz+KZCA1FOWoqnnMy6/FbtQzqKzhz3seyS9fv5+tw52cM/NIpmaVMiWQjanGvWsHZImUP87wZavI/+NcTBPcBFf3En6/H12W+auRisOt4GmECV/tR9KkBWUAWGxGGlZ3gQyV0/Np3zqAJEuk0yr9bSNkFTmR7CYaQxoTS90MdfnJLXMy2OnD7DASCwsVYsuGXqGUUyRRghtNkE6puHOttG0ZIBEVfodWh5Hh3iDuXFHkqsjifHs6fLhzbXi6/ZT330nEtC/+oTo0QNZL9LYO7/IDdcLsIiRFxjcQIOxPYLTIqGmNmjlFdO0YJBZKUFKXjaJT0DQNvVFHX8swVTMLmXlQNUazSLFqWt+N1WFi0oIyWjf1ISsSE+YUEw7EMFkNNK7txmDSMXmvMrqbPHg6/WxatpNoMIHVloPfdAAzF9bRsv4itFCaod4AkiwRDcYxWHSU5eViz7QiyxIN73fh90TG1HY6g450CjxdPlIJIUsc7PIRjyRxZJhJxFKkkiqppAi1SSc1wv44RouBLcvbyS5yMNjpR9FLaBpkFtgZ7g2CJHwlkcQLCYvdRCQQxZllwT8cJrvERSQQY7BrVMUowXCPH4vVQEFlBiDRuW0QZ7aV4EgMAKvDxMYlLbjz7MQjCcw2I+VT8qiaWUgsHGewwyeOf9T/UWfSkYil0ZsUNBVK6nLoHlWophIqepOCyWLA4jTh6fJhsRkI+aNoqoakSFROy0dVNeKRJPFokqKabKwuMza3mZaNvaTjKWYeWPW9emj5qmhes5K3H/gHIe/Q2DJbRhb7n3IG1fP2/M6OKzs7e5e/W1tbmTVrFtXV1Z+77MsikUh8o4F3BoOBvLy87007/0tQFOW/fkz+F/rwZfFNX3PfB3xXfUyn00iShCx/vfZDyWQSvV7/tbb5dWG4N0Dbln4SsdTYMoNJR/mUPDILHN/hkX0Is9mM2Wz+4hX/h/B9njPjGMf/Ar4bk7lvESUHQ+YE8GyEgoWQjkp46qFvjVC/mTIg3A++Fgj1gM4swkCK9xPJwntcCiUHQt2JEoP1GrkzwWADR7lG32pIJ4Vf39Z/iTTjbfdDx1vw7oUa8ZBGdEil8UmVyKBG4xMaakpjpEn4CmZPlRlpgp7lGv2rJSaeIkJRUlFR8rv5Lo2112kYHbDPX2TUJLx8QhrPJkHSbboDTG7hhTj1l6K/piyNwn1g/V/SFO4tVI/OSnj71xruWvFw7WsVJB6IcmuDXRCTLU8Bo9+BakIErDgqwZwFB98vobcKki9vviDwNtymIes02l/X2PGo8G/0bBS+iT3vwYa/iv4kAiAZRSq23gUxLxxwl8SeV8gc85qMOUMoJc3ZMuFeeO0kjdVXaTjLwF0NOqtIdC5YAK4KaawMMtAuSqoL94ZAm0Tl0RJ1J4op3fSkhq9FwpovU7ZI5o3TVaLDGiUHwvaHNMoWSZQf+t0oX3SyHqchY5dlCTVBUksiSzLbg/U83voKh5fPZnaeeDhd09vILeufR9VU7tn8Gn9+79/oZYVrFv4Mp9HCqZMP5E/zjmPPgjr+78g/kGm2c8D/XcLMnEpubH6J2/LWcXHfU6zZM8KFs4/h2dbVuPRWLqw5DEWSyTTbMcg6ivwWrurem23DnaDp6Ax5+VPuUn5UvAezV5o56oWrWff+Zppf38o/N7/OQ9vf5uhnriKUCHHWm/czJbuYtKZS4yrgXytf5bS37uDf9W/v0lf7wkKsM3PJOmUiskmH9/FG4lu8OA8uw1j6FX9w9W2C7c9/tW1HkU6p7FjTRV65m+wiJy0b+qiaWUhRVSaFVZn0tg7T0+wh7gkxt8pBX+sQziwrQz1B3LnWUf9F4Qup6GTMNgMGsx53no2MPAeyLLF9dSfuPBvFddlYHAZCvhgWpwmz1YCiEx6uNbOLMNuN9LZ6ScbTtLlPwhTvpbgmSxBH6TSZnleQZFEqDLBtVQcd2/rpbBgiMBymu1EQMk3ruiiozGT+kXUi5KTdSyqp4s6xMXHPUjq2D9DT/CF5UzmtgIKqTAByS11j4TXB4Qh+T5jpB1SSV+YmFkky2OHHOJpynF/hxl2QRdKcRziUwOtJYDQbmDC3mM6GQaFOVBQaVnfRsr4HAHe+A0emhaxCJ5IsUTWjkKl7l+PKtmIwK0LhOBAiFkoSGBYp2x+kZH+Ua/cOBNFUjeEeP6gpdDoJq8vIyOCoVFEDnVEEv1RMzcOZZcFkNRIOxlFTmkho9kbpbRkGhMqwpC4H/1CY5vU9bF3RhqyXx9K3bS4j/qEIqWSa4d4AGfl27BlmkartMtGxfRCAzAIbVpcJSYaITwTDSJKEzWUmMBQWJGlCpWxyLkazSKOOR5KEfTE8vQFkWUZWREfVtEihLqzOwmDS4+0PEg3F8fYFcWZbqZiax7YVHWOE638rmtes5IW/XrsLoQgQ8g7xwl+vpXnNym9kv+FwmJNOOgmbzUZ+fj5/+ctfPrHOR0s1y8rKePrpp3nooYeQJIlTTjnlU5cB+Hw+Tj/9dLKzs3E4HOy///5s2rRprN3LL7+c6dOn869//Yvy8nJMJtOX2u7hhx+mrKwMp9PJ8ccfTzAoXlidcsopLFu2jNtuuw1JkpAkifb29k+UwQ0PD3PCCSdQWFiIxWJhypQpPPbYY2P72d12AJ5++mkmTZqE0WikrKzsE+NYVlbGtddey6mnnordbqekpIR//OMfX3h+tm3bxhFHHIHD4cBut7PXXnvR2toKgKqqXHnllRQVFWE0Gpk+fTqvvfba2LYflN89+eST7LXXXpjNZubMmUNTUxPr1q1j9uzZ2Gw2Dj30UDwezy79Xrx4Mddeey25ubm4XC6uvPJKUqkUF1xwARkZGRQVFXH//fd/Yl/19fW0t7ez3377AeB2u8fmxGeNJ8DWrVs59NBDsdls5Obm8rOf/YyhoQ+vhd2Zp5+Gu+66i8rKSgwGA7W1tTz88MOfue6nlSu+8MILVFdXYzKZ2G+//XjwwQe/9LkfHBzkyCOPxGw2U15eziOPPPKJff+nc353x6isrIyrrrqKk046CYfDwRlnnLFbfYjH41x00UUUFxdjNBqpqqri3nvvRdM0qqqquPnmm3dZv76+HkmSaGlpoaysDIAf/OAHSJI09jfA888/z8yZMzGZTFRUVHDFFVeQSqX4LHwwN6+44oqxsfrlL39JIpEYW2fffffl7LPP5re//S1ZWVksWiTSDr9ojqmqyo033khVVRVGo5GSkhKuueYa4NMtDz7o4wdz+IOy2hdeeIGJEydiNBrp7Oxk6dKlzJ07d8waYsGCBXR0dIy180VzVJIk7rrrLo466iisVuvYMX3fMNwboHFd9y6EIkAilqJxXTfDvYFvbN/xeJxzzjmHnJwcTCYTCxcuZN26T7dU+rTy56uvvpqcnBzsdjunn346f/jDH3YJX/2iey3A2rVrmTFjBiaTidmzZ7Nx48ZP7PuL5uC+++7LOeecw4UXXkhGRgZ5eXlcfvnlu7TR3NzM3nvvjclkYuLEibz55pu7fP7BfeyJJ55gn332wWQy8cgjj+xWH7q7uznhhBPIyMjAarUye/Zs1qxZQ3t7O7Is8/777++y/q233kppaSk7d+781Hv+B2N33XXXUV5ejtlsZtq0aTz11FOfem7GMY7/VvzPk4pTTlOY/huJvFnCi7DnXeHrZ3KLcmBrHlQfI4JVSg8RZF+kH4KdEpEBieiAROtz0L1MY/LPJUaaRYhKx+uADBl1kDNDouxwEazirhJltQAdr8JLx2k0PKyRMx0qj5YYaRJkWCoCsRGNeX+ScZRJSLJG0/8JIjPhh4rDoOoYiWRYqP+63taQ9cJX0V4KFT8Qij+dWZRFN/0frL16tOS5XmO4QZRsO8tEf4v2E+3tf7vMAX+TWfRPcerTSQlJgWAHmHMBvehX/gKRhh3uBUsOWHNkZL3wVAy0CjVlOibIxT0ukXHXavStE0rBxIgon0aGrncEmZg9CfQWKN5b4qB/yfgaJfLnix/UB94lsePf0PKcxsLrJPa6UWLeH2UGNkLfWlF2nYpA+yvQ+rxGsAOQYNbvYeHVEumYCGQpOUCoSGNeDXsJhLo1dr6soqU0ChYIsnbZ78FRDLXHf78UPTNc8zDKRlJqkimOWbzb0crGwdaxz69b9xQrerbjjYV4ZPtSJo+mPYeTcULJGA6DhedaV7MtsAlPvJ9fLbmTX86dwbz8Wpr9veglhaF4iBcD9fRHfFw894dcuN8JuMsK+MfBZ7NXwUSqXfk879nAe9YunAYrWwJdVA1lcmjWVPqyE/iyNaZml/PP+ErOsr3IQ9vf5o3G9/lH/aEUjUznoJo8phdZMOsMhFIxplfWMHPeVA6dMGeXvqrxFFpKxVjhIrptCE0nY5qejbH8Pyijm3wMHHPPV98e6G7yYLIZSMZTmCwGyifnYnOaCPliFNVkUzmtgGQsTSQQJ+YJkleeSSySQNM0EnERwBIaVbKlkyrDvUFi4QTB4Sg5JS5mHVRN+aRc+lq9GE160ESoik4nEw7GcWZb8XT5aXq/G2+feEiSJEhiZch1AJ07hmhY3YXJbkarOQxFpyMZF76Jakrs255pJhlPUzVT3IQigQRb3m0n5I8S8w4TDSXwdPnG+lw5LZ+yyXkM9fgZ7PRhMOnQjXou2lxmrE5BcOSVZ1AxNR+z1UBWkRO7y4Q9w0x61LdRVTW6m4bweyJ4Ov1UThdv5HV6hcrpBVhdJroaPZROzsXbH6RlYw+ejhECwxHceTYkCVrqezHbjPg8YaxOMwVVmRgtBlRVxZVrJR5N4cqxkpFnQ9MEoZpV7ITRlwyG9DAZodXIwU7CPkEYAigGGZ1O3O/C/jjRYILcUjdaWsOVZ8WZZSW/MhPDKEErywoGk47hvqCouNYgnVCJR5KgQTKRJhyIYXEYya/MQG/U0b51AP9giDUv78DqNJFb4sJsM9HX6h17CWJzm9AbZILeCIl4kil7lWFzmdAZdSTjSdJJlYLKTCbsUYyWVvENhujaMUjT+m4a1nSxc3MfI/1BOhsGGeoOsPW9dtS0SiwsVLClE3NGS8j/O6Gqad5+4PMJpnce/Aeq+vUTpxdccAHLli3j+eef54033mDp0qVs2LDhM9dft24dhxxyCMcddxx9fX3cdtttn7oM4Ec/+hGDg4O8+uqrrF+/npkzZ3LAAQfg9XrH2mtpaeHpp5/mmWeeGSNzdme71tZWnnvuOV566SVeeuklli1bxvXXXw/Abbfdxvz58/nFL35BX18ffX19FBcXf6IvsViMWbNm8fLLL7N161bOOOMMfvazn7F27dov1c769es57rjjOP7449myZQuXX345l1xyCQ888MAu6/3lL38Ze9j89a9/za9+9SsaGxs/c6x7enrYe++9MRqNvP3226xfv55TTz11jHS57bbb+Mtf/sLNN9/M5s2bWbRoEUcddRTNzc27tHPZZZfx5z//mQ0bNqDT6fjJT37ChRdeyG233cby5ctpaWnh0ksv3WWbt99+m97eXt59913++te/ctlll3HEEUfgdrtZs2YNv/zlLznzzDPp7u7+xHEXFxfz9NNPA9DY2Dg2Jz5rPH0+H/vvvz8zZszg/fff57XXXmNgYIDjjjturM0vO08Bnn32Wc4991zOO+88tm7dyplnnsnPf/7z3bYzamtr44c//CGLFy9m06ZNnHnmmfzpT3/aZZ3dOfennHIKXV1dvPPOOzz11FP8/e9/Z3BwcJd2/tM5/2XG6Oabb2batGls3LiRSy65ZLf6cNJJJ/HYY49x++2309DQwD333IPNZkOSJE499dRdCGaA+++/n7333puqqqoxcuf++++nr69v7O/ly5dz0kknce6557J9+3buueceHnjggS8kzZYsWUJDQwNLly7lscce45lnnuGKK67YZZ0HH3wQg8HAihUruPvuu3drjl188cVcf/31XHLJJWzfvp1HH32U3Nzczz2WjyMSiXDDDTfwr3/9i23btpGRkcHixYvZZ5992Lx5M6tWreKMM84YU9bv7hy9/PLL+cEPfsCWLVs49dRTv9QxfRvQNI22Lf2fu07b1v5vzNf9wgsv5Omnn+bBBx9kw4YNVFVVsWjRol2un8/CI488wjXXXMMNN9zA+vXrKSkp4a677tplnS+614ZCIY444ggmTpzI+vXrufzyyzn//PN3aWN35iCIuWu1WlmzZg033ngjV1555RhxqKoqxxxzDAaDgTVr1nD33Xdz0UUXfWq//vCHP3DuuefS0NDAokWLdqsP++yzDz09Pbzwwgts2rSJCy+8EFVVKSsr48ADD/zU6/yUU06htLT0U+/5ANdddx0PPfQQd999N9u2beN3v/sdJ554IsuWLfvCczOOcfy34H++/BkEgZiKw6zzJDJqRflr8zMw8WQoXCDjbVTZfA9k5oKtEKoWyxQukBhYpxLogMOegFWXakh6QabZiyX61mgsuEqiYE/xEBcbEeTVxJNkNt6h0rVE7NtaAAV7wkgzeLdrBLtg9kVgzZMIdoHRobHxTpWEX3gONj4GSFCwp0TCL7H/36BvlUb3uxp1Jwniz1YI6YiEotNYcLXM8DaNyIBGwZ6wx6US2x/WiAzA8HYNo1tCMUC4T6PjDY0pp0ms/4vKHpfJ6G0wuEGjaC9RbjzSDLIerEUiZdmzUfgUFu8r+jj9LInGJzUm/ETCmg+Nj2ssO08jFdaoOlaUNu9/B0Q9sPpqoeCMeEFLiCAWnRF6V2j0vKehM0HuHLFMMYky8+wp4K6RiHgADeyFEDOBs0Si9ABYd6NGKgKmbKg5FioOVxhp1hh4X2Piz+G5IzRkg/CKVOOibLv9VQ00ifLDJdpf08iZBRVHSRidEsPbNHpWaEw94/vxIP6m5wXypBnE0iEm5+Rxx8aXMOuM+BNh/u/IP5BS05z3xj9JamnMOgMvtKzDGw1yYt2+RJJxVvQ08HrHau448BTSqopRNjAtu5wiayb+ZBhFkZFlmedaVvG7WYvpCQ7zesdGJmUUc8Xqx3lsj3N4eGAlb7Rv4NCy2aiaymM76hkJJbC9k6BYzmDhtDp6Ql4OKJ3GgpxaVj64lAuKltCwZYiZRdlMzyzlwUMWU+HKR/8xD7TI1iGCS7tQnEYUhwH30VUMP7ZDhJn0hj5jVL49xKNJoqEEyUSaqhmFKDqZTUt3EvbHmHdYLcGRCKWTcuht9ZJKpultHcbqNGF1mEQwiyRhMMnEox+q6bKLXORXfqhKza/IxJVtY7gviGJQSPpi+AbDKHqZdFLFkWnB6jbi7QlhcRpwZlrp2zmCxWUgGkgQDcaxuYwMDwNSkox8O+GRKPFYCp1BoXZ2Ee3bB9Cb9FidJpzZFoLeKJIk4W/ZRn5WJrmlLtS0iqzISKOhHtFQguHeAPFYkuIaUebpHwrjyLTg7QsiyRIZeXb8Q2EaVncxYV4xkUCcdEolq8hBIprEbDNgcRiJR5OEWiNYXWY0TcM3GGKw00fltAJC/ihI4PNEKJ2Yg9VpIuSLIisy8XCS1S83iHE06+htHSKd1Mgrd+PtD5JKpPENhkVgjc1IJBhnqNuPwaSQVjXSSiZB3XySqQ/nnaxIKIpEQXUmaBIZeTbq327B2x+kfEouqirU4zmlLoZ7/ZgdBhRFxjsQQlYkooH4mAej0SJKmJOJNENdfgwmnVBwDgr/TWe2leK6bLoaPDizraRVoS60uExIMOZRCaDTK5hsBpAkWjb0YLLoUTUN/1CIlo19ODLNpFMq3oEQuaVuXNlWmut7GejoQtKJYBaDWcdghx9JhqGeADWziujf6SW/MvNbuFq+fvQ0bPuEQvHjCA4P0dOwjeJJU7+2/YZCIe69917+/e9/c8ABBwDigaaoqOgzt8nOzsZoNGI2m3cpFf34svfee4+1a9cyODiI0WgEBJnx3HPP8dRTT40ppBKJBA899NBYifXubqeqKg888AB2ux2An/3sZyxZsoRrrrkGp9OJwWDAYrF8bjlrYWHhLg9+v/nNb3j99dd58sknmTt37m6389e//pUDDjiASy65BICamhq2b9/OTTfdNKbWADjssMP49a9FgtxFF13ELbfcwjvvvENt7ad7B//tb3/D6XTy+OOPj5Wu1dTUjH1+8803c9FFF3H88ccDcMMNN/DOO+9w66238re//W1svfPPP39MrXXuuedywgknsGTJEhYsWADAaaed9gkCNCMjg9tvvx1ZlqmtreXGG28kEonwxz/+EfiQgHnvvffG9v8BFEUhI0Pc+3NycnZRBX3aeN55553MmDGDa6+9dmzZfffdR3FxMU1NTRQUFHzpefrB+JxyyiljY/773/+e1atXc/PNN4+paj4P99xzD7W1tdx0000A1NbWsnXr1l1Iry86901NTbz66qusXbuWOXPES8Z7772Xurq6sTa+jjn/Za7l/fffn/POO2/s75/+9Kdf2Icnn3ySN998kwMPPBCAioqKse1POeUULr30UtauXcvcuXNJJpM8+uijY+rFD65tl8u1y3m/4oor+MMf/sDJJ5881uZVV13FhRdeyGWXXfaZ58VgMHDfffdhsViYNGkSV155JRdccAFXXXXVWKlxdXU1N95449g2V1999efOsfz8fG677TbuvPPOseOprKxk4cKFn3kcn4ZkMsnf//53pk2bBoDX68Xv93PEEUdQWVkJsMu53905+pOf/ISf//znX+pYvk184KH4eUhEUwSGIzizrJ+73pdFOBzmrrvu4oEHHuDQQw8F4J///Cdvvvkm995779h191m44447OO2008bG99JLL+WNN94gFPrwt/kX3WsfffRRVFXl3nvvxWQyMWnSJLq7u/nVr3411sYX3ec+uLdPnTp1bP5XV1dz5513smTJEg466CDeeustduzYweuvv05BgXiBfu211471+6P47W9/yzHHHPOl+uDxeFi3bt3Y/buqqmps+9NPP51f/vKX/PWvf8VoNLJhwwa2bNnC888//5n3/Hg8zrXXXstbb73F/PnzAXGdv/fee9xzzz3ss88+n3tuxjGO/xb8f0Eqbr1PI9QLGTUSW+9T2fmy8PCy5oA5Q2PdTcIbcfpZ4mF0xZ/SRD3C63Dt9SrbH4Kc2ULBmI6Bq1KicE9B1L17YZq9b1R472KNkgMFWZUzQyIyKAJOgh3Qt1IEswxvEz6MEhLe7RDsVln+B3CUCCWemhKhJc5y2HiHBppGoE0o/czZsOZqjYRfKPZMWRrz/iRhcEhIOhWDXaRS2wqh9gSJyIDG9ofAVauRN1NicD0kwxDzqigmSAQ0rHkiTVlnBvckQWjOv0Si7TWNnncBGaKDoLdC/1oNnVn4HC47XyOjVhxv1CNCV4a3ARKkErDuZkjHRVJ15iRBLk4+VWZok0bv+xq+BlHS3PYSGJyQOwtMToj7JbqWarQ8KxScmRMlyg6RsBdDOsFYOmzMI8qyl/0+zZ5Xyxz1rMLgxjSaCguuBnuhTMyv4qqUkRCBO2WLxNhEPYy9HW1+ViUVgc3/SFP9QwlzxndHLm4c3InXU0h7vJPVfdsodWbx6OHn8+SKJfj8AYajQebGCjl9ZSVLq7bzRsdGXu/YiFVn5OCymeTbMjiyYi4uo4Ut/V588ShFhjrWD7YQTEZxGWx44yEWFtRh1Zs5b+l9vN6+nrSmMT+vlj1cVRju7+KXFy7i/NmLkSSJH75wPVUlBRyUWcz0hRVsbGlkadv71LoLKXFkU2zPJqHTiOcqTDGW0h/ws1fhZIrNn/6QkxqOotgMuI6oILiiF8+D20DVME1w4zio/Fse8Q+RjKfYubmPaFiUDqXiaXyeMLFQnLwyN507BhkZDCHLEu3bBkkl0mQXO+lt8RIJxLDYTZTU5dDTPDRGKJrsBtKJNAOdPrx9wlewdm4xOr2C2W4kA7BnmIhFBBlnMOqIBuMkEykiwdRoua5EdokLs91Eb8sQFdPyadsygMFsAF8cNBjpD1E6MQez3UDD6i42LGlBliUCQxEyCxw4s22UTRp9gJkxH02S6dg2iKpqVEzNo6W+D1mWSKWEAjMS8JBd6CQSjLFjTTfOLAvuXNtYYrQkSWiqRsOqTowWPaBhshkJeSPklbvRNFBTKqlUGv9QhIY1XeSUOIkEYuhNCm6jjVQixVBPAKvDiMUu/g12+Qh4ImiauM4H2nyA8CEy2wwkoikKajLpbRpG0ckU1WTT9H43aJCIiTFXZdBUBd1o4rLeJJOMqSSiaXbW9+PMsqA3KqSS4j4y1BskOBzBlWMj5I9RWJVFb6uXUChGcCSKM9uK3xMms9BBcW02iViS4d4AiiKj6GUy8u1seqcNs134VMXCCVJxFTWtUT2zUOyjJ0A6lSYzz4F3IEhumYuBdh/e/hCJ1V1kFtgIjURJJlJkFjiw2E1oqobepMedYyUeS+PtD5JX5iYr30EsGEeSJfIqMtixuguDSQcSZObbSSZShPyxb+GK+WYQ8o18revtLlpbW0kkEsybN29sWUZGxmeSXF8GmzZtIhQKkZm5K9EbjUbHyncBSktLd/Fs3N3tysrKxsgVgPz8/E+ov74I6XSaa6+9lieffJKenh4SiQTxeByLxfKl2mloaODoo4/eZdmCBQu49dZbSafTKIq4h0yd+iEhLEkSeXl5Y8d86KGHsnz5ckCMybZt26ivr2evvfb6VC+sQCBAb2/vGDH40f1+tGz24/v9QHk1ZcqUXZZ9fOwmTZq0ixdcbm4ukydPHvtbURQyMzO/9Jh/GjZt2sQ777yDzWb7xGetra1Eo9GvNE8bGhrGCLkPsGDBgjEFzRehsbHxE4TE3LlzP7GPzzv3DQ0N6HQ6Zs2aNfb5hAkTdiFav445/2Wu5dmzZ3+pPtTX16MoymcSAAUFBRx++OHcd999zJ07lxdffJF4PM6PfvSjT13/o/1esWLFLiRtOp0mFosRiUQ+8zqcNm3aLp/Nnz+fUChEV1cXpaWikuWj4/3Bvj5vjvl8PuLx+Bgh+1VhMBh2ud4yMjI45ZRTWLRoEQcddBAHHnggxx13HPn5+cDuz9GPn7PvG76IUPyy630ZtLa2kkwmd7kX6vV65s6dS0NDwxeSio2NjWOk7geYO3cub78t7It2517b0NDA1KlTxyw8gDES7QN80Rz8KKn4UXz0Om9oaKC4uHiMUPy0/XyAj86Z3elDfX09M2bMGCMHP47Fixdz1lln8eyzz3L88cfzwAMPsN9+++1iZ/BxtLS0EIlEOOigg3ZZnkgkmDFjxmduN45x/Lfhf55UjHk18uaIMl41LUqPJSBjAlQtlnj9NA1rPuxxGbx7fpqF18nkzRMltbmzJSadBvW3g9EGtukS9mKNcJ9KuA/qTpKJeTU2/yONrwXmX67h2aSx41FBvvmagTREPKKE11EC08+WUQwSr52SxmAThJ27RqgfnRUas86D+jtEyfOBf1dIhjVSUWh6SsWaD7MvlOhbJZSIKy/VUFNpqhaL0t7c2bDtPo3uZcIHUUtDsA30Zg01Cd4GeON0qDxSYut9Gu7aNA0PQ/H+0LUEMifCwAZofgrmXyGx8Vbx8J1OwM6XVBSzKCGf/ivY/E8o3Ev4HDY9JYhTNFhxsSAUQag6XRXis8FpGqYMiaGNGpIMNT8E40+E8hFVJE37WjTKD5Uo3Avqb9co3k/j7bM05v5JonCBzMxzIRESZdShThjcKMoSFb3MxjuF92XuTPHgYslVCPVqeHdoZEyQKD5AYsu/VDInwtb7VPa+UcFgg4L5sO4GUQZfedR3MEFH0RcaZoung2Kni0AiytLOHVz+9sMYt0d5OaOVqQ3F7NNoZE3RCDpJRpYU9IoOWZJwGMy80b6BNzo28tuZRzEho4hJWSVUufL59Vt3kWtxMTOnkmdbVqFIMo3DPazqb+DiuT/EbrCwfqCVZ1tW8e4Pa/jHqzdx+uSD2TTUxrNH/xGn0craviZOff02Lpp9LN2bhmgZ6aXKXcCeWTUsOvUgXl1Zz5FVFfy0QpQfDO8cZCQRxrU2grHUgX0fUSrn2KcY9oH4Tj/hlb1gUpCMOhJdIQz5X+9b2y8DVdWIBBOAhqKTURQZV7aVlm4/0VCcgmpR5hyPpcgpcTLQ7mOww4emahhtBiKBGH07U2gqFNVk4e0LkkykSMbTJJNpoqpQzK19pZGp+5YjSxL97SMU12aTjCZRJInAUBg1pSHrpLGy3VQ8TTqp4sqxCj/HpiGMZj1ZRQ4sNiPdzUPIikT71gHceTZ0egVZkUinVBLRFIlYkobVnUzbp4JtKzuomV1Aw+pOJs4vYceaLgY7fUzZp4xIIEFrfS8G82jpc7AHW2yIogml9DYP48i2YtDJDHT4yCl2UlKXjX8ogn8oPFp6LRSEalqjdk4RnTs8ZBU6cGZbCY3E8A9FCPlidGwbQAMKKjIJDEcJB+KoaY2RwRBF1VkMWf04M6x0Nw2hqhr2DAvDvQE83X5kRaKsLpdUPM1gh4+2zX1kFTnIKnSyY00Xsg40VdhImCwGdC4dIV8EAEkRRKh/KEIinsLsMKCpwidSUSTQVPyeKIGhMJkFNqIhmaA3ht8TJrvYgawodGwfwGDUMdDhw2jRk1XoIOyLUzYxh752L8mESk/LMHqjjvlH1SFJ4jygQTquCqN6JGRJomRCNkO9fpLxFDqd+AqWJBmHW4TRzDqomu2rO5AkCXeujWQiTTKRoqtxEKtT+DHGo0lsLhOuHCs5JW5C/igDbSNUzyr8jq6i/xw2l/uLV/oS630fEAqFyM/PZ+nSpZ/47KOEykdTpb/Mdh8n2iRJhL59Gdx0003cdttt3HrrrUyZMgWr1cpvf/vbXfzZvk583jH/61//IhqN7rLe1xUm8NH9fvBi8ePLPj52n3asX8eYfxpCoRBHHnkkN9xwwyc+y8/Pp6Wl5T/ex/cZ3+ach09ec1+E3ZmHp59+Oj/72c+45ZZbuP/++/nxj3/8heR8KBTiiiuu2EVN9QE+Ss58FXzafeXz5tjOnTs/t70PCPaPlu8mk8lPrGc2mz8RGnb//fdzzjnn8Nprr/HEE0/w5z//mTfffJM99tjjK/fn+waDafceqXd3vf9FfNEc/ADf1+vcYDBw0kkncf/993PMMcfw6KOPfuELmg/Uni+//DKFhbv+RvtAlT2Ocfwv4PtR9/kNon/taAJxDNZep6KmYP87JdQ0vHOuKJVFg3U3CpJKTWmY3BLp0d/TudNl3DUw6zwZnUVj010QDwg/xtdOUgl2i8RkvQV0Jplwv0bcJ4hCSRLlxGoCsqdJOMokXj5eZeMdacJ9Iuk5HRcJ0IEOjVWXCfJzzytk9rr2gy9v8LWoND0JgQ7QmSTy58pkTZEo3hfKFgmV4BH/J+GsAFcV5M0VITRGJ0w8CaqOlrCXwMH3w6EPS1QcJZEKi5LwjAlifVMW+NugfBHU/FBi6z819FZBKHa+reEok5h+tii/3nCHOG5vgwhkCfdA/nxAhrSKSFlVwOCGmecqLLxOYv2tGumUStG+4KoEW6FM4UKZ/LkSllxB8AY6NbY/pKIzSuht0PqSKI3ufENj/V/TvH+j8MQM90HWZIm9/yLR/qrEe39UcVVAz/IPz3vLcyptL2v0roA5F8lYsiXmXSLGangrjDRrtD4P2x+G8sMFAfuBEvK7wPVrn2ZNfxNP7ljDSCwCSPR29pGTsvCX/U7GrbfwjrKTFc4efli9J/uVTMFptFJozeC5ze9xwbL7uXDOMczMrUTbOEIZ4i2bSaenyJ7FHnk1hFNxXmxdx6sd72OQ9Vj0JqrdBfxf8wrKHDnsVzUDm86Eqqm4jTbu2fw6zzSvotCWwbTscobiQfKsbipceRhkHQO3bKDp6c3U9wR4c1UvwRUigOPJd97k4uUPotgNmKd9qL7RUqpIHi60YVtYgOIwYKx0kn3611fK+FVgNOup26OY0om56PQKqqri7Q9SO6cId66djq2DDPcE8HtCJONpDGY98Yi4QSiKSBqWZQl7hhlJkYhFEpisBmpmFyIhkVFgR9Er2DLMbF7axnBfAG9/kJ1b+qmaUUjljIIPH3IN4sem1Wliwh6ixHjz0p3EQgmc2Vbyytw0r+/F7DAw88BK1LSKziBTWJVJOp2moDKT6ftVUjwhi4x8BwajDlknU1qXw/aVXdTOLsTmNlMxLQ9JlhjqCpBT7MSZbQUNpu9XiUmOYEgOUVKbgzPLin8wjKYBmoYkSyLF2KjDZNGTW+IirywDd66V7GInqqqRSqQIjUQJDkcprs3GYFCwOk0kYoJobdnYS3axE4vDyOZ32+hu9AgD854gIwMh3Hl21LRGyYRspuxVJoJl8mwk4yncOTac2VbKp+ZRM6uIts39WBxGFEUhp8SJpkJWkZPyqUKJZDArWB1GGL20o8E4Zl2CD8RH6bRGYU0meqNQRA71BAkH4ih6GXeuFU9XAN9AEL8nRCIu1AWJmFAE9rYM0759kHRao6DCxchAiOGewFjwTSqZxpFlIZlM48iykkikMNkMaICa1kgl0wS8YRSDRNnEHALeKI3rumha303F1Hw0TaOneZjBDh/rXm3CaNKjMygYLXrat/bjyLLS3TRMS30vgeEI8ZhIhv5vRWHdJGwZWZ+7jj0zi8K6SV/rfisrK9Hr9axZs2Zs2cjICE1NTf9x2zNnzqS/vx+dTkdVVdUu/7KyPruvX3W7j8NgMJBOf74H5YoVKzj66KM58cQTmTZtGhUVFZ/o++60U1dXx4oVKz7Rdk1NzZhK8YtQWFg41s8P1FZTp05l+fLln0peOBwOCgoKPnW/EydO3K19fpP4IG3342P3aeM5c+ZMtm3bRllZ2SfOudVq/crz9LPOy+6OT21t7SeCCT4e/vBF537ChAmkUinWr18/9nljY+MugR9fx5z/T67lL+rDlClTUFX1cz3QDjvsMKxWK3fddRevvfbaJ3z/9Hr9p573xsbGT/S5qqrqcxOTN23aNEbAA6xevRqbzfapfqcf3dfnzbHq6mrMZjNLliz51O0/UFP39fWNLftooM8XYcaMGVx88cWsXLmSyZMn8+ijjwL/+Rz9vsCRaflCwtBg1uHI/HIq8N3BByE3Hx3HZDLJunXrdmsca2trP3Fdf/Tv3bnX1tXVsXnzZmKxDysmVq9evcv6XzQHdwd1dXV0dXXtMg8/vp9Pw+70YerUqdTX13+uD+Xpp5/OW2+9xd///ndSqdQuLwQ+7Z7/0cCij/f5867XcYzjvw3/86Ri2SEydSfKKEZB4g1vhx2Payy4WqLsCKGYCw+ArxGQIB7QCHSoTDhBPORb8yX2u01BUkRIScFCqPupwuFPyMy9WCLQORpOEhTE5fYHNTLqoOIwmf1vl1h4o/BQbH1OI9SrEfdD9zLInwd73ygx+zyZ3FkyU06XyayDxqdANogn4B2PqXjqYcu/YNH9En0rIdip8frPVRSDRNYUCVc1RAbh1RM1Gh4CbzNsf0CkLk8/W8KaJ7H6Kg1XDTiKFDz1ABqyEXY+JwjShn8LUs1eCu/9WWNoq0hJVgxw8D8lWl/QaPi3xms/A3uBhG1Uce5tAL1ZeCP2vgeyLHwQdWaRuj3nAoll56dZ8muNnBmw4xHwt4hwlxWXqjx1YJq4X6P6R8LncWQHGJ0Ssl5ixjkyC69ROPTfMoEuUUo97SwoO1RCViSW/k4j1C1IVb0dyo+Ao54Tb1ATAY2Nt4tgmz0u+XCKtz4HmVPhiGdBb9dAhsiA8Ls0OODZw1XWXLPrD750QvtWyMbp2RXsUzSZ6dnlFNmyyDLbUYrsPJC/iRyrm1uP+jXHnfNDhi1xVDSWdW/j3JlHkhu18Ih0Im6TnXPe/gfv9zfzyltLOf+Fezhryd344xHe7tzE8zvXsG/RZJafcD3XLDgJnSTzevtGqt0FnDdrMWfPOIJNg21kW5w83LAUvawwPbucJxuX83Lbem7e51Tu2/Imbf4Bbtn3F5w4cV+ch5YxWCTeHB4bmEhs2zDD0QC/PPUnPHzyH3EtrkLnMpEOCAJu8O5NBNb08rftrxLaOEC6P4Kx0oU+9+v/gfVlYbIYyMizU1gjHl7sbvG2MqfYSX55BpoKJXU59LYOExgKM3HPMoonZFM6MZcpe5eh6BXC/hiJaBI1rRGLJJFkCWeWhexCJ4WVmSRjKWxuE57uAGpKIxlLERyOoDcopFMqRrOOZCKFJAlCqrW+l7Yt/eRXZpBfkcFgp5+hHj95ZS6a1/ey+d12JEVGU8Hb1ExmlpHgcASjWY/VaaZj6wCT9ypn09JWWjf3gQSKTqFj+yBtWwaQZFH6HQsn8HvClE0eNWPPmQTVh7JjTRdGi55kMk1gWCgT27eJ7YLeCKmEylBvkHRaJRZOMtTjJ+yL4R8Kk1fmoKQuBwB3rh2by0wqlSYz386kBaWEvFGGewLkVWRQPjUfNKFgtDiMDPcGyMxIM/TklejevpRUIoVvIMyGt1qIRZOkEil2bupl58Z2ErEksiIhyRID7V5KrK1IEmx8q5VUQiUZSxP1DGLGI8rME/2EvSNEgglkLY4ip2la1ytCWBCkqaLI6PQK4YCQXFdMy6d4Qi42twmjWYeEuNdN268CV66VVDxNT+sIOSVOFL1M2B9joGMET5cPNaVSWpeD0aRj4vxScsvc+D1hMvLsTN2nnJH+ECazkcxCJ0W1WdgzLYRGt7e5zTizLdgzzWQW2tGb9eiNCopOweG20NsyzOSFpRRWZyErEsHhyFg69n8jZFlh/1PO+Nx19jv5DGR59wiq3YXNZuO0007jggsu4O2332br1q2ccsopn/tAv7s48MADmT9/PosXL+aNN96gvb2dlStX8qc//ekTRM3Xsd3HUVZWNpZaOTQ09KlKj+rqat58801WrlxJQ0MDZ555JgMDA1+6nfPOO48lS5Zw1VVX0dTUxIMPPsidd975CaP+L4uzzz6bQCDA8ccfz/vvv09zczMPP/zwWLjLBRdcwA033MATTzxBY2Mjf/jDH6ivr+fcc8/9j/b7daC0tBRJknjppZfweDxjipVPG8+zzjoLr9fLCSecwLp162htbeX111/n5z//Oel0+ivP0wsuuIAHHniAu+66i+bmZv7617/yzDPP7PZ5OfPMM9mxYwcXXXTRmK/gB96TH7wM+6JzX1tbyyGHHMKZZ57JmjVrWL9+PaeffvouqqCvY87/J9fyF/WhrKyMk08+mVNPPZXnnnuOtrY2li5dypNPPjnWhqIonHLKKVx88cVUV1d/oiSzrKyMJUuW0N/fz8iIsHG49NJLeeihh7jiiivYtm0bDQ0NPP744/z5z3/+3ONNJBKcdtppbN++nVdeeYXLLruMs88++3P7+kVzzGQycdFFF3HhhRfy0EMP0drayurVq7n33nsBxkiQyy+/nObmZl5++eXdSiBva2vj4osvZtWqVXR0dPDGG2/Q3Nw85qv4n87R7wskSaJ8ymf7zgKUT877hIrz64DVauVXv/oVF1xwAa+99hrbt2/nF7/4BZFIhNNOO+0Lt//Nb37Dvffey4MPPkhzczNXX301mzdv3uVYv+he+5Of/ARJkvjFL34xNi8/noj+RXNwd3DggQdSU1PDySefzKZNm1i+fPknwqM+C1/UhxNOOIG8vDwWL17MihUr2LlzJ08//TSrVq0aa6Ouro499tiDiy66iBNOOGGX+9in3fPtdjvnn38+v/vd73jwwQdpbW1lw4YN3HHHHTz44IO7ddzjGMd/A/7nSUWARFAjFRa+hFU/gEAbpOMSO18UROGhD8roLDDjXOh+R2L7w6LM9qOQZIgOweB6ePeCNF1va2RPlVh0r8ykkyXm/hG8OzSc5ZAzHbY9qLL+Fo2mxyB3poQGtL0slIvJMOTOksidLWMr1njmkDT+DpWYV5QLd7+j0fmOxs6XNAY3quhMsPkfooR5+8MaC66H7OkwsEGj8XFR9uuoAGshTD0DkISaL3s6tL+uMev3kFkHybDKln8KJeXgBtj3dphymoTBAfERMT7Z02BosyBIo0NCpfhBqMrsC0Axa8w+HyadAqUHQ+UxUHqgxL63ifEzOkQqtaceBtYJwtNdJ9SaikGMa8+7MPEUUXLcv1aEuHS+A65amHKm+AJ798I0ba+qbL5bY++bZOZcIFPzQ4WKw2Qm/FSi/HCo/5tG3xqN3pXw3h9gzZWw8VaNRFAci+Fjlh3eHUIJ2vQ4LPmVht4Gpkzhe9m9XMPgEMpLgO6NKW778TBv/i5F8zPfPKl4+wFnsG/xFHb6BziwbDqzCnOYUqzn1ImLmJ5dhaqpLHzqDwQTEQYjfu456CyOrJzL7ImTeG+On33M1SiSTEdgkLdmD/O21syGgRY2DLaS0lQ2DO5kJBbipnXP8kb7BvoiI/jiIdb0NTEUDXDv1jdY3rONeCpBuTOXSmcu96x7hawWjUAiTHtgELvBTJWrgHd7trL89VUkkkkK6gp5pGMx4ViUOydtZcHjF/H3Ta8wkggJ/z1No//mdcRafbgWVxGLxwjvGIa0BopEsj/8jY/t7kBTNTa/24bdZWbuoRMwmvX4h8KY7UbKp+ZRO7cIo8VAKqGSkW8nEUviyLTgGwyxY00XaBqKTsE3IFKbtXQaT5efwqosdm7uQ2/SMX3/SibtWUZemZuK6XnkVrhIq2mMFj2TF5ZRMb0ALa1htBqIR5JIkoSik+ht9eIdDJJX5iSnxIUrx4beqJBT4kBNqkIZ3LYEnydMZpGTRCxJ1w4PFdPy6W70YHOaySlxMXP/SpLJNLFQHDlhxpFhJZ1SMduMTFpQik6voGmiHLm3dRhXro3sIic2p4lYJEFBdSbevgB9rV7ikSSKXpzfju0DOLOtJKIpVE1DDm3A1/thGqrNbSa31I0sy+iNOgxGHaoqAlwsdgPeviCyImG2GxjqDZBKpunv00gVzEMyWpmyVzk6g4KGRue2AcL+GGo8Rn9HmKqZBSSiCRxuI3nuMF3hMjq2D5KRb8fqNCLJYMRPlCyioQQJQx4J2Y1OLyPLIMkKyVEiLhxIYDQbKKwWSdCJaApJBk+3H29fgNBwDFkno2raWKJzYCiCopcxmvX0tXopnpBN+eQ8kCDki2G0GCiszmLbqk42vNnMthXtoyE/Xvpah8ktz0BnVEjEUzS9300ikkBLizL8dFLFnmFBkiQcGRZSiRSZ+Q6m7VtBbpl7VPFgJTQSpbfZS+mkXKxO01iwzH8jquftyVG//+MnFIv2zCyO+v0fqZ635zey35tuuom99tqLI488kgMPPJCFCxd+wo/sq0CSJF555RX23ntvfv7zn1NTU8Pxxx9PR0fH5yaqftXtPo7zzz8fRVGYOHEi2dnZdHZ2fmKdP//5z8ycOZNFixax7777jj1Qfdl2Zs6cyZNPPsnjjz/O5MmTufTSS7nyyit3CWn5KsjMzOTtt98eS+WcNWsW//znP8fK48455xx+//vfc9555zFlyhRee+01XnjhBaqrq/+j/X4dKCwsHAviyM3N5eyzzwY+fTw/UNCk02kOPvhgpkyZwm9/+1tcLtcYUfRV5unixYu57bbbuPnmm5k0aRL33HMP999/P/vuu+9u9aG8vJynnnqKZ555hqlTp3LXXXeNPcB/ULq3O+f+/vvvp6CggH322YdjjjmGM844g5ycnLHPv645/1Wv5d3pw1133cUPf/hDfv3rXzNhwgR+8YtfEA7v+hvmtNNOI5FIfGqgyF/+8hfefPNNiouLx7zUFi1axEsvvcQbb7zBnDlz2GOPPbjlllvGlLqfhQMOOIDq6mr23ntvfvzjH3PUUUdx+eWXf+42uzPHLrnkEs477zwuvfRS6urq+PGPfzzmZafX63nsscfYsWMHU6dO5YYbbuDqq6/+oqHFYrGwY8cOjj32WGpqajjjjDM466yzOPPMM4H/fI5+n5BZ4KB2TtEnFIsGs47aOUVkFji+sX1ff/31HHvssfzsZz9j5syZtLS08Prrr+N2f7FlyE9/+lMuvvhizj//fGbOnElbWxunnHLKLiX4X3SvtdlsvPjii2zZsoUZM2bwpz/96RNlzrszB78Isizz7LPPEo1GmTt3LqeffvoXpqXvbh8MBgNvvPEGOTk5HHbYYUyZMoXrr7/+E2r7D67zj6uRP+uef9VVV3HJJZdw3XXXUVdXxyGHHMLLL79Mefl35yc/jnF83ZC0byrb/nMQCARwOp34/X4cjm/uBvsB+tak8WwBZ5lE1KMR6ICc6RLv/0XDnAX73yGx4hINxSDUfZv+plF6sMRIi4ajWKJggUQqqvHWmULxV32MTNMTKpmToe5EmbhPY+nvNbQ07H+7jK0InjpARZIF0ZeMgCUbJp0svAyTQZFAbXJJSHqNjtdh9vlCMde5RCjv0ATJ59kovBIH3hfEnCSyEZh/qcTqqzVm/k6i/BDh7RgdFmXYKy9TmfZLiUCXxtZ/igTqdEKQfX2rRGmyNR8K9pCY8gsZT71G87Mqw9tg5m9lBtarBNqFcnHamRIbbtPoeANyZgpS1ZgJ1YslWp7TkHRgtEPNjyXq79AoPxx6V0CwB45+RmL5HzWiHqj7CXQtg5Ed4ngSAag6RqJzicaEEyTMWRqxEYlQFwR7NDrfgr1uguFNEhNP/vCLxtuosfJSQbRO+zWsvFT4UpozYY9LIOaDpb9DqEg7YHirxr63iC+DVVekcZRK1BwHL/9YIxmC2RdC89OC/EwGRR+nnClx5jPrmJLM4tcnleHMktFbv/43ix9Hf3iE+sGdzM2v4bS3rufEaTM4tviHrOlr5PW2jUTTCUZiQe4+6Cz6Ql4yTHY2DLaiC6nk3T/MFQs2sH5kJ/FUkgJbJsX2LCKpODXuQqpd+dyw7ml+Pe1QVvc30TjczeLqPXimaSVPHHkRt65/gb6QF4fRwvqBFs6afgTL1r/P6R2T+evUTcS0JKlYEodkYnJpJctaN7G/eyJXHnUqw//XyE0spV0bxmYyozcb+enEfVlYKMoJUv44OqeR5GCE9XcvY1l+D2dPPwJDsTBb1+d9zT45mgg54ksojQY7fbRs7GXmQVWYLAbC/hhb32tn0oJSmjf0MnlhKYpOYbgnQFeTh4KqDHqahzFbDRiteooqs9i2uhODUUfQG8GWYSa3xE3H9kEyCx1YHUZ8g2GKarMY7g3Q0zyMzWVCUWQKa7JoWN3JnEU1eHpEEEhf2zAVU/LZ/G4bjkwLgeEIWUUOqmcUsu61JjILbAx0+LG5zRhMOkGA2gTpqehlosE4tXOLcGZaQZKQR1Oeg94IvS0jDDZGMLhVpu5bTuPaLtx5NsL+ONFQnHg0id6gMHF+KaGRKMP9AZKxNLYMM0FvhEgwjixJyDoZu9uMbyBE9axCTBYDZpsBVdPo2+nF2xekemYhVqf4UdqxYjUDfieKUY9Bp2GMtjGcLGbyglIiwRiJWJpYOIHZYaBzmwdZL0NaQ2cUSk41LZKgjZ1vYrbK7PDPIK/CTbLxXVyh94nPu5D8ygy6m4Yw24107fCQGC0HlpJBNL0NnUEmu/sJPPk/IqVKY2XRRrOeVDKFzqAjEUuhNyqkkyrplEpBVSbRYBxN0/B7whiteoon5NC+ZYA5h9QQ9EbwDoToaRqiYmounTuGqJ5ZgKfLh8GoJ7PISeO6LuyZFiyjJdauHAtmq5HBTj+aqlJYk0XT+z3IioTeoJBT5qarwQOA2WEgEUlSUpdLVpEDvUFHOqUSHIniyrbSsW2AkC+GopeJhRNomvCjtLst5Ja6vr7rahTfxve3qqZFGrRvBJvLTWHdpK9doTiOcYzjq+Gaa67h7rvvpqur67s+lO8dli9fzgEHHEBXV9eXIkO/DE455RR8Ph/PPffcN9L+OP5zaJo2lgZtMImS529CofhN4qCDDiIvL4+HH374uz6U7x2uuuoq/u///o/Nmzd/14cyjnF8b/A/7xYb7tdYfRWgwg9ekVl3g4rOpLH+Fg2DU5BrcZ94shzeBu+ep1FzArQ8qyHpoX+1xsY7tdEgAAj1iBCU/f8m8+4FKtFhjTdP06g4EjInScgGGGkVMhbJAGoS4sMQ98LGv2mEu8FZI8i9ST/X2Hqv8CNUUxJDmwQxGB0NEgzshBm/BSSxTDHD8BZB9qmqhqsKyhZJND+rUn+7RunBYHBKuKslrPkSO57QsBYJZeaEEyDmFWrBVEx4PlYfK77gsqdLZE9XCPVoWPJESfTOF4U6M+6TSASFv+LQZpHanAqDvURDksBeLHwZrXliXPQWiXC/xvRfgcEhkwik0Zmh/u9gdIm+lB8hwm+GtmrEPLD2Wg2dGWpPEInV1iKx76FNwmsx3CeCabKnSzhKYMZvZAoXSvSv01BMgrzNmwc7HhOqy9nnQ8frGnMvlnFXffglXnucjN6hsex34nxa8iB3pgy2FOtv0rAUKvjbYMmZGifvOxmXYiCr9Nt7kG329fFsy2rm5FVzUOlM5mTO4rX29Vy8/CHMOgN1GcVkW5wMRQOc9fbd5Fnc/LFmMfpX+4ieU8Hq1x9nUeks3urcSFJNkVBTLK7agxMm7M2flz8Mmsb9W99ianY5kXSCXIubHKubzoCHlb0NTMgootnXhyRJHD9hL9oCA2yaJhFoiTIrtwrvkJephmJ+v/B4/qCqTMmp5IqVj9LtHGZR2QzmLxvhbX0nfzngTHSyghpJomkQ2z6MvtCGbFAoOKSG083TsH5BichXRrAfbp8hSMXfrAfnFwdXhAMxUsnUaJpvK/MOr8No0ZNZYBcqQBk2L2ujqCabnuYh7Jlm4uEU6aSKwaTDmWlloMtHPJLEaNJTUJ1JcChCZoEdWZbIKnICo6XGoQQ9TUMgQ9AbZeL8EpxZVmrnFOMdCNHf5qVsci6ubJtQwFn0GC16JlQVsWNtN44MC3MOraGvbQRZCaAzKDhbH0LO3Z+K+XPweyIM9waIBOIYjHpkRRCrIwMhAsNhSupyKJ2sQ9INkk6pRENx8ivcZBY66W8fweI0MNIXGvsst8xNbpmbgY4RhnsDSBoUVWcR9scI+2OM9IeQFYmhXj9V0woZ6PTR1+bFZDWQV5GByfKh2XaxtAbJUUuvrxQprFGZvQNLxQyG+4IU12aj6GTq32nF0+XHlWvFNxBGb5QxmnXoDDp8AyH6dnpx5+yDN63izhMpz0O6KQy7JmHu9ZOIJ/F7wkwqK0E/LY+uHR6hItWbiUeS2Fxm+hI/grS4L8ijIS6SDLllGaSTabIKnRhMCn3tIxiMOpLxNIpOxp5pJuiNYjTpMVsM1M4VKefxaJK+lmFRgjwSw5VjIRlPMdQTJLfUxfZVHaSTKr7+IH5ZpnpmAa31faTTfrKLnMiKRF+rF6vTRNgfI5VM4+0NklvuwjcQxuY04wkmSKfSY56byXiK7Ss7sDiM6AziHmV1CtWQfyhEPJLAlfX9NrX/PMiyQvGk79ZrdRzjGIfA3//+d+bMmUNmZiYrVqzgpptuGlPgjEMgHo/j8Xi4/PLL+dGPfvSNEYrj+O+AJEk4/4u+gyORCHfffTeLFi1CURQee+wx3nrrLd58883v+tC+VwiFQrS3t3PnnXfulkp3HOP4/wn/H5CKYM4BRYH6v6UZ3i4Ue45Skc4cBN48U4SHTDsLeldCyb4ScS+UH6FhzZN48YeiVLZgT0EQDm1VyagTxFa4B5BhYL0oNc6YoDG0FepOhKZnhXfi9LNkupaqrL1BBJ3M/C3Eh2QyJohUZXMObHtIw5ItiDk1DgYXxIah8UmQJciaKkqUD/23JMJR+jUSAfBsgh3/1phzsYTeLLHxTpUjnlCI+4Xn4JQzhTrQUSLIxkCHyv53KAzWa7x5psqR/6cQ7tPwt2lkTpJIRUVJuIYooVaMkDFBIp3QsBUJH0aA7Q9BxkRRyuxvgYrDJA6+VyY8qJKMQMURMr0rNfa8XOKtX4mH9vLDYMejsO1+sOTCvD/CC4sheyr8P/bOO8yOqnD/n5m5vd+7vffdbHonIZQAofciikpRxPITEaUoVlAQBRH0K0VR6aAoHekllEBI72Wzvfe9vc+c3x8nLIQaFBDxvs/DQ3bvtDN3ds6977xldKtsnVY0mdMord4QGzQINCls+oPMZVz0Y5WttxpkouCuVFlyBbx8MTScqKCnFUCgWhTs+Qq2gEL5gfJ4h9YavHyJYP73INQlrdwF01UcRQrLXxoikXFTkXRhssPCS6BoroOPW8K7f9lUGv2l7P+37/PYiZfy960ruHnLU5zefBCfaVzCaY/9mvlF9RhCcNsR3+GHL99BzJalfEkpfUqUZnspu0Z7+Ypnf449ZCmXv/o3RuJBjrr/MsYSYXQEaUMn3+Gl0VfG31teZjQR4qmuDST1DLow8FocfG3m4Zz++G9omejDYbJS4vTz5enL+Nazf2DVWAfnZ09lfoefa9sfoKm4kp0TfZwVncMd5V1s7G3lzj/cy6IjF7HlwbUsHC5Cs5oInNpI8KE28haXfHSEIoC7GD5/r2xJ2gtCEWCkO0h/+zgF5V7cgTfyHVPxDJuWd2ANlVC6n2xm1rMGmWSW6HgCQzcY7QtTWOXHZNHo3TlKaDRGLCxDqkOjMdo2DZBf7iWT1ultGSWv1INm0bA7LcQjKXas6qF+dgkta/uxOc0YAqwOM/1t4yhAYZWXgdZxHB4rxTV+wuMxOrYMUdoQwNAFhm4wbF2AnnISmUgyMRxltC8MCpMKwXg4yfaV0q440D6OzWXFm+dgtGecZCRFMpZheLdVe6A9KolMuxmz1TTZIF09rQhVlapKf5Gbkb4QE4NRiqp9BIdjKEiSLjqRwF/gorwxH82ioWlvqEWNed9i9P4nsOYlSfSVkt73a3Sva8Nb4EQIQSadpWFuKT0to/iLXISGY2QzBpHxJE37lKOoCkUVXto2DSJ0gbfQSd2sEjK7Mxcz6SyGbiAE9DzwJ0bd+2J1udFMKtFQEiMjSCcjaGYNVYNMykA1q2STOigw1D2OnhYMdQUnj9nmMsu8zIkk40NhAAoq3KRTWdwBB0II9IwhsxjNKppJZbg7TDycZu6yejKpLLFwkuhEEpfPTqDEgxACRVOYuaSG6ESC4EiMyIQstRFCkFfhxum04y9yMeieQAhBUbUPRVHpax2loMzLumdaZQZwIkM8nKKkNoCCQkltgPHBCNXTiiff/xxyyCGHfwevZ6yNj49TWVnJBRdcwCWXXPKfPqxPFO655x7OPvtsZs+eze233/6fPpwccvhAeD1+4IorriCZTNLU1MR9993HsmXL/tOH9onCueeeyz333MMJJ5zwNutzDjn8r+NTa39ORwUWl/yi+/RXdZmJOCbJqqPuUvjn5wWaCfLngKdC5upZfND5FBhJWHqdwvPnC+Z+W9qhAZZcobLtdoPRTXD4bQovfFew72W7VXhemUcYbIfup8DfJO3MxftIpWB8WKoEKw6BkXXgqYZZ/0/B6lHY/GeD9kcgb5osP3FVQuPJ4K2B574plYzzL1SxBRSG1goEgoEVgvZ/wrKb4KmvwPwLFIr3UTBZ4flvG6TCkA7K/Q+ulvbrw29RUVSYaBVkE3IS8TXA418w0DMw99sKoTZoe0TmN9ryYf53ZfZjz3KDlT8TFMyRx191uCRnQ+2y7KThZEkWpiKgJ+GouxWe+rKg7jjY8meprjTZpNIzE5WkoqLK89H9FASmyeN0lcrtmRww5fNS0bj0Otjwe0kCL/mFwis/EThKId4nMxEPvFZh262C0sUqO+42qDlKofbYPa2vqZDOmqth0aUKqQkFR4G8NlZ1jDMaSpL+aSF6RgFDvncH//Y/Y7X72at/pcFfyj07XsRrsbN1rIe0nmVWQTV/OfzbnHjrpZwcaabqpOksq5rNxpEOihw+/t/TNzI6Ok614eMn/ftz2cK1rB7ahYLCnIJa3FY7PquTxzvX8vT4lzi/9EnWx7r5XNP+aIrK6sFdHFQ5gzkFdTzavpoX+7bS5C9j82gnB1fO4jdLz+YPr/0TfdsEX//s5xi7ezuRZT4KSwsYjgbZ+dhGfpJ9HC0D340t4TLfcn5WdiKLtvl4oK6DnY5xfnfgV1G0j9D+kUlIFvxfKFgwdINsRiedzNKxeZCmBRUMdo7Rty2IM1zF1C+YyaZ1IsEEbr+dvpZRhruDWB0WZh9Ui64bdG8fZqQ3ROWUQjz5DsJjMTo3DzP/sAbMNhODHeP0t4+TimV2q8sEDo8Nh9vKYIcMbddMKg3zyggUu+naNkw8kiQaTJBJ6pNKNpvTTOXUInat7aN+TimR8TildXlsXN5O7exiYhNJ8src7FzVx6yltbuVhBFS8TSZZJZEJI2vxEX31mGsDhN6RuD0WfEEHPS2jDJlnwr8RW5WP9FCaV1AWrhL3djdVqLBJLFQgmxaRxjgK3ISGU/gK3DRtKB88nxufrGDQKmH4mo/mXSW7a92ExuE8HOl1H51DLvbSsWUAlY9tgNFVcgrcTPcHQLAZFEJlHhIxdK48+z07hxDNSkoKFidZoqr/Yz0hkhGMxTV+OjdMSqVqYpA1WT2ol1LkshYEELdXeQCekagmVW8BU7C43FJJiLvQ+6Ag/BoHKvDRCqZlU9VBJisKtmUAUYWi8OC0NNoqVbK5x1Mz44R8stlIU3ruj6SsQyNC8rJpnV6W0aobC4iOBKlc8sQ3nwHmbROPJzCHbATGYtT1pjPUOcEmZROoMSNJ2DntZYWTBmVBTObsLvMdG0fltZmTaWwysf4YASr3UxhhQ9VUzAMQX6ph+4dIwy0j+HNc2IIwfQl1f/uX9O74uOOL8khhxxyyCGHHHLIIYccPrn4VJKKE7sEz33T4IRHVDSrQrBVsPVWg0CzwuAqQckihZojIT6iYM+DjTcK/A2CTTeDvwGaT4fSxRqb/qAT6YHypdD/GoiMJP0Sw+BtgFgf7PdLWHuNJA33uURh440CAcQHZKNw/kwYeA1mfh023ghkQbXKfER7HpQskcrA+hN2F5uMwsTuJuqFlyis/bW0BtefKG16Lf+Q9uXao6B0X4X8aQoDqwRtD0q7tskG4c7dJSUqHHK9ythWwauXCQ6+ER7/vLRx2/PgmHs1gq2C5RcYZMJSRZmakBmOsUFpvwZo+AxM/5LKg8cazPwGDK6E4fWS+MtEpShsznkwuEa2QHsbJEHa9SQs/Q08f55so9ZTEO6Sy+tZEFmpzMwmweaHSDcyo9EP3iqZR5k3FbbeCs4isAVgwcWqVIylBVv+YtB6P9SfBC33ytbpfa8AV7GCs1gSS93PGWy8UbDvz+CF78Cx9yu8eIFg3gUqRgaevSDL2AlDHF5ZwpprJB9lckDkmBGmHGJhfnXgQ78+3wsPtq6kOVCBzWTmli3PsnaolRKnH5fZxs/sR/Poiy/QHAnw6NFBfrDPZ1h8z0Wc0XwQz3RvxGO1kzF0rj7gy6T0DHdtX45VM/NI2yqCqRgZI0utt5i/1/8/NriG+fILv+esqYdwb8vLzCuqYyQRpspdwIr+7Tx/6i9wW+y0hwZxmm0UOXx7HGcym+bObc8zvaCa2bFCxu/eget7s2gPDzG7oIbZt5+HKQknFS0gHoCTGvdlblHdR3vy/nw4TDsR6g6GB78OX3oCTJa9WlUIgZ41GOsPEx6PUzezhExaJxZKMtg5gdNtZXwwSml9AEOXeXZF1X48u4s0shmdVY/tnNxeaX0ARVMZ6w1hdZgxmTVCIzFK6/Po2Tki/wbdVtKJDFanmUCxGyFguHuCaYur2fJyJ7puMOOAasKjcdKpLP27xgAmbbj1c0oJFLkn7a9d24ZIRNJM2aeCkd4QoZEYZQ0BelvGyGYM9IxOWWM+O1f1YLJoaCaV6mnFDLSPkU5miYdTOL1W7C4rdreVVCJDzfQixgfC2N1WelvGyCt1Ew+n6GsdAwGqBi6fnUxGp7KpEH+xtHxn0ll6do4w3BVE7C420UwKmSE7SiCOooDTZyOTzJJOZqmcVshYb4h4NI3DacEVcDDaF2LusnrWPrULAJvTQjYtiV8Ai1WjsMpP765REGB1aKTiOsW1foY6g5TW59HfOoqqqrJdOztM2lyAEG8ithXIL/MQmYiTTujkl3uIh5LEIymcXjtmqzy3Hq+gqLaUVCJNKpagvz1KMp4mnZB5SSaLRiqeIb/ci8tnI5PSyaSyGIYgEU1h6IJoMIGqKrj9dsoa80nGMiTCSSITCQoqvKTiGZ7ZsZFWbYAL5p9A944RDN3A7bdjd1spKPfSuqEfBLj8DkZ6grjzHLi8NgY6xnG4regZg7o5Jbj9H12jeo5UzCGHHHLIIYcccsghhxxex6fS/uyrh0P/JAnFxJig72XBkss1Xv6hjrsCKg8RPHwi5M8ULL1WpfZYBXueQv2JsOt+wYofCo75myAVgnQEhK4wtFqQCYFqg+LFMPgqlO4HQ6ukytFeAtvvFpQukQq+DddL1V3JPgr9LwuGVgFSGIORQVrX4tC7XBJz664Fd6V83VsDyQnIxgUiK626pYtV7jtCx0jJZfz1Ch3/FAy8Koj2Q92JCquuFHjKpW3ZfyDM+w4oqkJyQjDnWwpDKwEEC74HVYeqvHa5Qe1xCt5qmZdYcZC0f0/5Aqz5lVQj9r4EQ+ug/1UDoUu1Z7Qf8mfIhmfVAftfAWuvhcJZ8thivRDaJUtldt4L8y9UGNksGFwFDSfByCaI9khVo6JJZWMmDp4amPk1SUyGe6Htfuh+GhCSRLX5FVSTJATaHhJ0Pi5bpAdfg1OeUelZLkiNw5pfCrx1Oo2fUcnEBekobL8DTnhERTUr1B5n4CgGzQw1B2ssbiqjdD/IRAWqWZbE9CezvPRLaPiewFvz8YUrn1C/aPLfKwd2UOwIcPUBX8KFhdGbt3DC545kKB7ksfXX8+VNjSypaKQ/Nk6jv5Rjahfy150v8nDbSm7a+CTLqmahG8ak9bnSlc+M/GqO3PYbJlJRFOD2bc/xtZmHU+EuxG9z8q3n/sjBFdP5/ku3cf0hX6fW+3arcqo7zN3PPM5vxYtcP3IUiakayiwf6voQs+ZVsn2shwvmn4hJ0bhm7QPkZzx8ffZRH/3JO+kP4MiXrPmc0/eaUAQYG4jQtXUIp8dKNJQkFk7h9tux2s14C5xkUzpjAxEy6SyqqtI47w1VnmEIjKyBO2AjMp7E5rIw1BnEEAYms4loMImeMWheXIm/0MX4UIRULEM6kWHGATXEIykwBE6fjbG+MMlYmqIaH1abGVVVGR+IIIRAVRUKq3wEit0MdsqMw9Z1/Wgmlcb5ZZQ15GNkd+e5KgrjA2GGu4P4i11YbWZGx+NkUllm7FeNoqlYbCbaN/YTHk/QMLeUicEoFruJicEo+RVeWV6zoZ/x/givP3ryFjipmlokC2f6IthdFuweKxuXt9Oyto/qqYWoJpWeHSPMXFqL3WmlY/MgdreZUAeMP1hMyZm9CHOaWChJSU0AQxhEx+MUVvro2DyEp8CJr9DFcNcEHZsGmXlgLdlUli2vdIGQak49a5BOSUu5w2PFbfSQzNpI4SGT1mVO4Y4+bMY4sVQlVr9CnlvH8NqIRCEW3H0jFTDaK23NZpvGyG61pHxNMDEYBSAa1IhEBncXtkAqnkY1qbuJyzFJRoZTRMbjZFNZamYUs/nlTpxeGw6PJPvKGgKMD0YZ6Q7h9seonFpEKpFh/bOthEbjRCfiTLVUEKiT9urGBWVkkjo7VvUwtS5ANJjA5bMz0hPCEAKzTaNySgEAvS2jlO+2pueQQw455JBDDjnkkEMOOXxc+FSSiooiCz3aHjLw1EKoQ7DtLp3ECDgKwepTqD9ZEGqF6IBBpFehYKbKih9LZWLBHPjn5w18DVJZN/E7Ick8Bfa7XKVonkJiVKCZBQ+dIkABm1cqGUuXKHiqFDoeMxjbAsFO+W18cB0ULZAtzCIr1Xj9r0AmK63QkV6oORKCbdD/qlQy5s+EGV9V8NZAJm6gmmTe4IyvQtWhCpXLFDb/ycCer1B5kEr5fjK7sO1Rg803w0PHQ+0xOkNrYdFPVVCgeKHASCm7rc8G4zsF9nyFA64RDKyUx7fht7KspetJKJwv1YsFM8FXK4tiYv2SgLQXSNJv7a/B7IJQx+5m591k4dQzpCW693l5Dmx5sPNvMmdyLCSLZ4QhlYuqRWYzBlth7vkaK36iUzgPhtdJcrL7OdATguoj5Hs8uErQeArYvApl+0vytPJghUzcoOsZSAXB6he8dLHcR3Ic1v5GsOB7CjVHvmGPnX+hwtg2wfPfMjjkBo211+iMjqc5akoJol7B+RHG/70fvjbzCO5teZlvPf9Hbj/yOxR9a458IZyC9cAML5u6uxkbjVLrLabY6afQ4eW6dY9wTM18vjj1IH708h14rS4yIsspTfvxQu8WLt/vi7w20IJJUQln4iRDSTaEdrGgagolTj9Pd2/kH8e+kZd0+8ZnaYn0U+crId/uwZnUqAuUsk9PGecVPckFnRF+51nJVaWfp+n/ernN+iqt5TEKnT4uWfgZgqko5e68j/6E+avf+Pf8L+3VKsKQ12ag2I3LayObzrLpxU52rOrGbDYxff9qTGYNzaFSPa2Inh3DNC+q3GMbIz0h+tvG0DRlt2ItjaLIv7FsWqdqaiHjA2EG2sYIj8SomV5My+peDN3AbNUItkapnlYkS1cKnOxc04uv0ElJdQCL3UxRlR9/kQuTRSOb0RntC1NSG6B98yAApQ15tG0cZP5hDWDWCI3GUE0K+RUeTBYzDpeF8Fichrll7FrXhzAEdreFZDyDr8CBxSrbhMNjMRRVoWZ6MaP9YbKZLOHROCUNeaQiKRKxNEOdE/RsH2bqvpW0bRxg/uGNmEwasw6spWVNH6GxOJ58J00Lytn2SpcsjLGZsDutRIY9uGfFsPkVGubW0N82ykDHOMU1frJpg5G+MFaHCZvLIjMghbSlyzZqE4EiF5pJZbRfkoDeAieGYZBJ6tQVj0Pbc4wt+AXCEIwPhHFZ40TSxQhDIBSF/kgJDhXiodQ7XguappJ5/ckPEA3JbEzVpGBkBeP9EVSTgs1hQVFV7A4LpXUBwmMxbA4LIz2hSYVi17ZhWbgyEMFs1XB6bUTGEyAEpQ0BKqcWMTEcpWPTAIESN5om8xiVlE5xq49udRhVU7HaZdHNthXdk8dlMqsyx1GRKlGAeYc1TC6bQw455JBDDjnkkEMOOeTwceFTSSoCvHqZzugWWPwThbpjFF68WFC2P8z8qspz3zQwu8AWUFh5mSDaK+h+Wic2AJmYJMREVmZt2fNlQUvr/eAqgcE1BkXzNFofNNhxD1i8MO98KJyj8M/PCTbeJGg4Eca2SNJMT0g7cbgHhtaAv1mq+IwsYMgoME+NzCYcXA2Vh0D3MzD/e+AqUXjuNkHbI1CxVFYh2ArA4t5tAU4JpnxBweaTSrqttxp0PC6Pf79fQMc/pfX60JsVzE7ofFyqDauPUgi2CTbfDIVzJJmZiapEegwKZkHvs/I4x4IwvEbuM9QKy/6gkYkJln/XYKIVGk6UxxwbhMbPQfvDoGek9brmaNhxFxz8O4Vwl8xptPqkIrJksWyfVq3Q8wzEByHbC2UHQsOJKh2PGUzslBmUmkXmMR54LbT+A+4/SmffyxQ81VC5TCXSA5YUdD2jM7wGkiFIh+X2XSUw6xuw6yHIpqSyND4ieOIMgznfgpqjpLXRXQ6Vy+C1K3RCXfCi1gu3l3PIxTZa/i6YesbHp1R8M05sWMyRNfOIpBN7/L7KU8iK064irWfp3THGTxadxmnNB3DB8j+TZ3Nz11EXMK+onvaRftS0oNKTz66JfrrCQ5zZPZWrQ//gouQBLFw6F2uNl4n7d/G4uYWeyCifbdqf6zf+kwp3Pn9veZmfv/o3ft97BDOaGnnBPoSiKPxqzROcWrWYUd3gV/O+hILgZ6KB/atmE4v1M96WoC82xpbxbg6rmkOFu+A/cv72Bm0bB1A1hdqZJdicFgybieIaP4ESN+0bBohOSHWYyaLhDtjRLBoDHRNUTS1E1w06twwhDMG0JZWMD0To3DKIMMDhsxALpjCZNUZ7Qxi6QVm9H7PNRCyYRDWpzFpSzbZXurA5LCRiKdpfGaRpQRlWu4l4OIVhCFKJDF3bhhgbCO8uJdHpbxsjGUuDAKfPTH6pnWDLS2SSFRhCY9urXQgpWGTuofVoqkrL2j7ikRQOjwUFhdBoHLNVw9Blk7C/0MVYXxgQRCbiJGNpNE0jncwSHIwQD6dRNQVvgRNFVbC7bOxzVNNku7TJrDF1cSW9u0YZ7pogGXVgd1kkqWg34yt0E5o1SGW1n4kBQcvaXpLxDDaHmfGBCIFiN4loGqwmOjZKsjSv2E14PM744BuEmrfQyaJjmln56A4UFVQUbE4zPZb9MRqWEO2coLQuDwWFgqnNZNvHSCgZ9KwkB99GKCpgtZtAAV+Rm0Q4SWg0DkBJjR+720oslGR8IIKehfKGAsYGwhRWeMmksoRG41hsZpxeG7ouUDR5LmwuM2JIPnByeqxExuJYnRbGB6MYWQNPnpOdq3oIFLsZH4gwbd8qgiMxhJDHWdlcyEDbOIWVPhQFRvsjRMbioICuG3gLZGP468gRijnkkEMOOeSQQw455JDDfwKfWlJxok0q7AZXCYbWQPFC6F8J634n24k1KzR9Hp45B7z1MLZdNkAfdbfKzr8abO2WNuqOR6VduXiBLF5pfxgsDoPWB3bnFuoQaFZJjBpkU5CNw7Y7pfpJT0gFnqsMpn0JdtwjcwONrCwqcRRAfASivdJWXbafbHxGBasHsimBqkkrdGJUMP8iFZMdVvzIoOlzCkYWOp8Q1J8gaHsYqo6QSkyhQzYhS13SEeh+VhDuFIS75evrf2cQaJKFJPMuUBAItvxJnqfKZTLLcGyLPI/OMnkeoykIdwkcRdL+HGyR+1FU0JzQ+QRkIoACyRS0/BXKDoBgh2D77ZJsVDS5/PA6hebTFfSULKSZ2CnY8TfB4Ep49FQDq2+37dyQhOzACnj8c+AokRmL2+8SOAvBWaKQTQhevMjAlifJREcR7P8rlcfPzWB9REGEVRJD8lg7HhOULlZAgTXXgJHVsXpVyg9UKD9AJdhqULIQLjisnDyThczEf+jifRNsJgu2d7HxWjQTP9znVI6snQdAMBXDb5NNut9d/icucB7C50emEp/mZ2FxE1bNxPMV/bQMD/JkeBPxUTuHli3Af1IDJ2WrsJksPNa+hkdO+DF/2fI0z/dsxmd1sFUbZsgY5OX2Dg6unMlVjuMJbFYZmhOj0p1Pc14F28d6WD/Uxo9H7iRrzzKRivHHQ77JgtJG7B/AhvxxI6/UTduGAVw+G4WVfnau6SUWTGLoBnMPbWDj8jayGYPZB9dhtpqYtm8ViiJboFc/vpPG+WW0rOsjNBrd3cYst+vJc5IIp7A4TEzdt4q2jQN4C10oCowPRskr8RANJSmq8hMajWGxmSmu8aOZNZw+O+WNBbRtGiAdz0y2+G56qZPqaYXouo7DYyUeThEbi7D9+XZSoonQWJKR3jA104vp2j6Mt8BJPJxiuHsCm8NMoNjDWH+ISFCSZr5CFxWNBax/vo3NL3cwY78aWjf007NjFFVTmL20jsHOcUwWDcdUG7vW9lJan4c3z8nEUATDEOSVyEy9ieEo7RsHUFUFT76TQLEbb76TbucwkYkEyUQaTVOYGIxQUhfY3YY9QjatUzu7lEwig6IqDHVNYLGb0DM6Y4NS5SfLZAy8hU4iYwl2rOoFIDgUQ1Hkg5ngcIziag95+SZ2rpaZkT07RsikdKwOE/4iN/FIivBuwvB12J1mEtEMVruJoc4JhCGJQaHDSG8Ym9NMNJjE6ZU5iWMDYWpnluD2S4Vgf9sY0WCCzS91Tm5z6r5V0rKuCzSTSmQiia4LhjomsNrNuItcDHVOkFfioXp6MfnlcWJhWcCTTmWpnlZMf+sYpfV5KIpC+8YBQNqzM0kdl9++B6GYQw455JBDDjnkkEMOOeTwn8IHr0n9L8ERt6ic+JjK1DNUFv5IwWSHwrkyw3DK5yVBOLZNgCpJPQQ0fVZh0x8FrQ9Jcmpsq/xyGRsCd4UkImuPgfzZgqrDIZsAqw8sbnjhApnRF+2RGYHWgGyTrjoUup6Vr4ssZDOSPMSA2efKbUzsAFWBbbdJ1aKrBFb9EtZeLbc/5TRIBqH/FYNsSlB7tLQZTztLoWi+VDku/L6KI1+Slq4yGN0iMLLQ+Bko21/ByMCCixX8DZIY3XqbVGEqqixv6Vkuj6nraTA7oP5Eue7+v1Q44naFOecqLP+OtNwt+B5oDqk6NNKSPMUAFFmWYsuT/w28But/C6kQqCY51qIFMP8ihd7nBVv+bLDxJoOdfxMEd0HBXGg4BSJ9kigwO6TluuEU8NaBrwZKFsmynP5X4fnv6oxuNag5Wm4zOQG+egWLS+EvTWtoJUjLvVB5KEz/Csw9X0VRFU58VOXIO2QrrNAlAWzPV5h7vkr9iSo1lXaSwwrb7jRo/uJ/RqW4t/ji1IPwWZ0AnDn1YAZiQe7ctpwnOtZx7Pbr+MzXT8KimniuZyNWk5krjz6bL0w5kP4m+MGOv9L3uzX8+Z6/M/uOb3P8g5dzwQt/4d6dL7NmcBe13mIywmCmp4LZlgrqvCVoigqL81i5X5Qto138veVlhBCc/MiVnP7EtXRGR0gqOmbVxA2bHuMvW57+WM6DrhsMPHEPovPVD7Seoiikk1mScVn+4St0kU5mUTWFsf4w05ZUU1qfx1DHOKl4BkVRSMbSCCGYum8VLWv7CBS7SSeylDXmM++welRVYXwwgmFIYrxzyxCR8QSaprD6yRYGO8aJjMcZ7w9TUOEjGUuz9ZUuIhMJVj/RQtv6fgBCwzHi4RTNiyopa8jDyOq0rOnFSAuZwyjA4nRQNmMWJXV5uHwOCit9BIdlIYymqtgcFixWE74CSWhaHWYQYHOaaZhbhs1loWlBOSU1Ado3DZBXKklCQxdY7Cb628YZ7Q8zMRDBZDZhtZsZ6ppg5+peaefdDU/AQcPcMhoXlBMLJUjGM6SSGawOM7FgkuGuCdJJnWQsQ/vGQYQuUFDwFbrIJLOU1OVRPa0Im8M8eS5VTSGT1kGRZcxjfRE8+Q6ScWmptrlMCAF2t4X8Mg+ibxPjm1ahmTWyMZVMSpdErUkjv8yLntkt31QhUOImv8JDIppBUSCVyCIMQV6pB5vdgtmi7S6UMmQxiteGZlaJBZOYzHLaHOkNgQC33447347Lb9tdohPfbXm2Y3NaKKz0UVLnx51nx+Iw4fTYcPlsRINJ1j7dgqELOjYPkU7pTFlYQXA0tvt3g/TuHEFRIL/MzZSFFdTNLiEReWf7dg6fPFx66aXMnj37397OWWedxQknnPBvbePWW2/F5/NN/vyvHJuiKDz44IP/1nG8F946zqVLl3L++ef/W9scHBzk0EMPxel07jH+HHLIIYf/FSxfvhxFUQgGg8Db54OPCp2dnSiKwoYNGz7yfX3U81MOnx68+Vr5OK/RTzs+tUpFVVNoe9SgZJGCu0xl8aWw/Ds69SdCzVEqmlmw9lqBq0wSa5F+SWJl41KNlxiFaKskB0UG2h6Cw29TsLgVgq3Q8biBYUj13USLQWoCLH6pdkTAeIskxkKdsjsi3AkDK+WxRR2yHbnlH1Ld5yyW9lzNLluVo31w4G+kxddIwz9PE/jqZTFK38uCo+9RsXgUwp2CKaepk0UimlWlaKHB0Fq5LUWFXX+XBSSdT8pjLT9ApWi+wfA6mP5lhc03C2Z/S5J1o5thy5/lsXQ+CdkYtPxDYPHITMV9L4cHjpYWaluhJBOtXtCHpZoRwJYP3mroe1EqC7MJSbYW7wNjO2B0Izx+ukEyCE2nQu8Lsqhm9rkKIxshNiCoO1aSkPYCSZL2vQQzvyFbtzsfhyPvVHnlJwYTW2VD9bzvqPgbFExWHV+9JAnv+fIinjpHKsfmnS/zJBVFnidFVXCVgqt0T8Kw8wlB+6OCOecpJMcE4Q6ID0nbtsn+ySYXAf6w6Qm2jnXjszg4vfkg5pc0oJk0mgJlHF+/iNObDwLg+/t8hlf6t3Hec3/E/8Up1MZtBFa+hqIoLC2fwWBsgg0jnRxfvw//OPb7DHcPc+maG/l86YGE0jHWj7TzXM9GRofGCJkKUBSFvx19MTdveorxZJg7j76QnsgIXosTm+mjt2UahqB72zChVDmBRy/BevYDYPfv1bpmqwmrw0x5Yz7pZJaiSh/RiQSGbhAajU02QptMGi6/A6vDTNvGAXwFTkpqAzTOL2eocwJ/kRur1cRITwhfkZPxAVl6UjW1gGzaoH5OKeODEVxeG+ndtllFgYZ5ZVhsZoIjUYK6jtmqUVIbYPvKbuYuq588Ts2k4fDYiEzEsDktODxWxgbC2N12urYF8RW56Nw6RFG1n1Qig8tvo2FeGalkhqHuELMPqsNs1UgnM0zZp4J4NA1APJJCUcDmsNC1bZhUIjO5z97WUQDySqQ1OZvRCY/GCZTIBmibw0xvyyhOr5VsxiC/1IOiKtTNKsViN7NrbR+ZVBZfoZNUIkPVwiIcbis920eIhZLMXVbP+GAUu9PCUFcQI2uQSmTRTArB4RhWhwUQWKwm7EU2hrsmGO0L4y10EhqKoWqgmRUsNjOZVJbRTDUFlVayQ2noLkSrHiOTzFIxpQC724LVZSYRSyIMCI5EMbLyXiEEWB0mUvEsyXh6DzIzk9JRTTIrs2l+OSarxpYVnVRPK2KkJ0Q0mKSoykdkXDY764aga9sw6WQGYYDFbiKVyMgGZ6cgPBand9coDreVTFrHZNYYHwhjtmokwil2vtaDsTvnEwVMFo36OaWM9IaIjCcoqQ3gzXd+CH81OXwS0dnZSU1NDevXr/9QyMj3woUXXsi3vvWtj3QfnwRce+21DAwMsGHDBrxe74e67eXLl3PQQQcxMTGRIyxzyCGH/xp89rOf5aijPoYCxf8x5OaEHP6X8akiFfW0QE+DxaUwuErQ+ZRgbJtg4SUyO298lywTsfkF7mqp5Ftwkcry86UC77VfCDw1MNGCVN4hVYWpsGxkXnuNIBUSLPqxSsUBcrmZX4Nd/5BW3/xpCsmIwFEAvkYY3SL3p8dl2YgwoO4EyGuC8e0KvgboeUZgLYBsj9xn7wvSorzxBkH9SQo1R6gUztbx1sB+V8DqqyEdhXRE0PIPA5NdYfY3ZUFJ3lSFxdNUUkFofVDgLBWkgtD+KMz5FlQsBatfwV6gsvJnBgJB97PQ87xU+CVGBKkJmStZvI8k7HyNkBqXxF7fy2ALyObnvpclSVlzFFg8kpTd9Tep+nQWynNncUPjyQrZpGDbbfLLOwaYXCDSkkA12WSpStl+sPbXgimfV+h6Vh5HOgwmB5zwsMo/TzMw2+GwP6somsKyGzWySUFy/A1y0D9F2rDXXaeTP12SlYGp8lhe+p6Br06hbH+FxKgsi9GsexKF1oDMe3z+W4L6k6BglsKrPxOULoKpZ/4XkIqHncvDra+xcmAHL/Zv5ZJFnwFgQXED313+Z+YV1lHjLWLpvT/goeN/xAPH/xCX18tBzOKCbIw1Q61cuf8ZfOe5P6EAV+x3OgA3B5/ErJooc+dRJvJYObiTcDLBfK2SzvAwADMKqrlwwYkccf9PmUhGP9YcRWEIkrE0rooauuw/p9Hq2av1DN1AVRVUTSUVT7Pl5S48ATvRYBLDMDBbTVQ0FWB3WejYPEgslEQYgqb5ZWhmjR2vdRMajVNan0/vzhF03SA0EkPbrWTLpnU8eU6yaZ1sRsfptWF1WDBbTdTPCWCxmVn71C68BU68eemVLMQAAPuASURBVE6sTgvljfkoioLNZWHrii4CJW5KagM43FYa55ezdUUnsZC0ylpsZkKjMRAw1h8mr9TDztU9TFlYgcks7b/DPUGmLCjD7rKQTmVJRNMYumCkN4TLa2P7a934ClyYrRoms0Z0IomiKghDMNIdwmKT1uFUfBynx8ZoX4jQaIxkUBBsFSi+OMERjWQ0TXg0Rt3sUpxeG93bh7E6zHjy7JTU5rHphXYsVhOpEQ2G8sE7wNYVXSSiaeYcXMdofxhvgQOTRUPPGMRCSawOM/FQmuIqP6N9YQSC4mo/gx27n2AoKp48x+425gw2lwWrx40yPEbdSdC7SxAciVG3m9Cd6I+AIsfm8tnQszrefCdDXUHSCR2TVcNX5JxsgLY5JFkpBLj8Nnp2juD0WskkdVrXD1BY6SUaTDIxFMVf7MbqMDHYMSEVrap8qGNkDUpqAui6QVlDPptf7sBkUYmFUzJnc1ohfTtHaZpXRue2IZLxDBgyhzGv1IM7z4E3X7Zhvw6b85MbJ/BhQRiCVEcII5JGdVuw1nhR1E/+Pfi/CS6XC5fL9f4L/pejra2NefPm0dDQ8KFuN5PJvP9CewkhBLquYzJ9qj6S55DD/yyEYRAeGiAdj2FxOPEUlaConxxzoN1ux263/6cP42NFJpPBbP5050//p8aYTqexWD7cz6a5efG/D5+cO9yHgB13CVZdIdnArbcYlO4L0QFJNgKYzJLoGtsmeOVHsN9VMN5iYC8Ak1Mq9Ma3SXWgySVt0poZyvYFzSa/JEZ74amzDdwV0oIssirxEWnZHd4g2HknrL9WthWH2qR92lkm/48O3U+Aq1ISYDa/PC5HPpjdUrFYcSAUzJJt0G0PCp7/jo6/WRKU0V6VKacpRPsELffKdfteEoxtN3jwGMHW26SNuOc5wegmga8GpnxOYcmvYP3vYfXVgkivINQmcFfCht/ByU+rlB8oz120D2Z+TaHxFChfomBygD0A9iLwNUBgChxxm0LBTIWmz0D9SbDzr7D9Dmnf9lTLMdSfBNY8CO6SNux0FNDkNpZcCZ4q+X4lR2G/K6Vluuc5QcVBUH+CtGgbGaRN0w+JMbnMgb9R6H5OMNFisPFGA0XdU214wFUaDSepFC+AsW1w9N/hkN9rKKrCrK+rKJqg5zmDzX80iPS8/fox0mDzK5QfJK3vjkKBaoLCeR/RBfshw2W28fnmA7n6gC9z07L/t8drL33ul8wtqsNvc3H7kd+hylNArfeNauuTG/flyv3PAOAHiz7DTYd+c/K1/zf7aGYX1jCRjPKbdQ+xoLiBa70nc3C2lts+c9HkcpWeAp46+Wf4bR/vF1XNpNK8qJLqGSXUHLgYVG2P19PJrLQLvwmxUJLXHtvBlhWdpBJp1j/XRsO8Uvwlbsoa88ikddLJ7O6CFgdTFlagmRR2rOohPBZn0wvtCCFtwsIwqJpeSHgshmbabalXAFWhZ8cIm15sZ/1zbQy0j2MyKySiaUZ6QrvtyBbG+sOExuIMdU4QHI6yfWUXO1f14i92kV/2BkFqtmg0L6qkuNpHcCSGyazSOK8MRZV5e3aXhdLaPHat7cPQDQY7x8mms2x/rZdkLE0inMKT7yCTymIyq/TsGMHhtDI+GGG4S6odVU3Bsru4RM/Kduq+XWOYLRqBEjdOr41oMIFiaKghH+6AnUQkRXGNbKoODkfZ8HwbQ50ThMfi9O0aQ1GhvKkAq91MtA9GVmsUVfqxuSwUVXmxu60EStwMdwVJxTLY3VacHptsOFahd9comkXFZNYQQqBo8m/e7bcRCyZx+WXmpMNtRVMV8ko9BEo9VE4plNmTkRQdmwax2M3YnGY0s4rdZSG/zIvDY8MwBFaHiWxKJx3PUt6Qj8NjJZs1sLmsGLqgZ+coyXiawY4gAA3zSgmNxvEXu6idUUxJbYBsSkfXDRweK4uPnUrFlAIqphRic1lkIctghFQsTSqWQQEQ0LtjBD1rsHNNH958F4YuKKjw0ry4kvKmgv9JVWJiyyiDv1rF6M2bGf/rTkZv3szgr1aR2DL6ke3TMAyuvPJKampqsNvtzJo1i3/84x+Tr79uHXv22WeZP38+DoeDfffdl507d+6xnV/+8pcUFRXhdrs5++yzSSaTb9vPz372M8rLy7FarcyePZsnnnhi8vWamhoA5syZI5XjS5fusf6vf/1rSkpKyMvL45vf/OYexFYqleLCCy+krKwMp9PJPvvsw/Lly991zG+1P69evZpDDz2U/Px8vF4vBx54IOvWrdvbUzg5vquuuor6+nqsViuVlZVcccUVk6/39PRw6qmn4vP5CAQCHH/88XR2dn6gfbwVN954I3V1dVgsFpqamrjjjjsmX6uurua+++7j9ttvR1EUzjrrrHfcxt6MXVEUbrzxRo477jicTifnnHMOBx0k1f9+v3+P7e/t9fT4448zb948rFYrd955J6qqsmbNmj32e91111FVVYVhGP/Wecohhxw+Hox1trHm3tvZ8tiDtCx/mi2PPciae29nrLPtI9tnKpXivPPOo7CwEJvNxn777cfq1avfdfl3sj9ffvnlFBYW4na7+cpXvsL3v//9PeaI95u/AFatWsWcOXOw2WzMnz+f9evXv23fW7Zs4cgjj8TlclFUVMTpp5/O6Ogb8/vSpUs577zzuPjiiwkEAhQXF3PppZfusY1du3ZxwAEHYLPZmDp1Kk8/vWfU0uuW1r/97W8ceOCB2Gw27rrrrr0aQ29vL6eddhqBQACn08n8+fN57bXX6OzsfM97dHt7+788J7wTqqur+fnPf85pp52G0+mkrKyM66+/fo9l3jovvT7fPvTQQ8ydOxebzUZtbS2XXXYZ2Wx2cr1gMMjXvvY1ioqKsNlsTJ8+nUcffRR452iU6667jurq6smfX48queKKKygtLaWpqQmAG264gYaGBmw2G0VFRZxyyimT67zfNfpO8+LLL7/8jufm3d6j1/F+48/ho8Gniv5tOk1BT8kvnIfcqDHRYrD1L4LkuMDsgNL9pTJuokUSSMHtsPVWSWBZ8+VrSy6HxAioFoXxFsGuB+GQY8G1WWHqWaAosPFGgS0glYeRfkGwVZKVh/9J47Ev6MRHIH+6JOF6X5SvJYZBtcvG4+XnScvm9DNlhmL/K2CkIH8azPp/KkYWCmYKqg6Dl38omNgGedNh858NTHZJeB33gGyA7n5eMLIe9vkhlCxSmGiBxDi4yhXaHxNUpSDyGKhm2dRcvt1gw2/BVQHhLmh/WDCySeZFOoug5e8CRwnkzxLoSQi2ydbq8oOg/yUY3y7HmzdNYcP1Ak+V3M6Ou8DsAqtflsTM/Kpg3W8gOiit3vMuALNNtm27K+X75a2DUJtKxYEGVi9MtEI6Jig/CHpfkiU3VYeCzSfzLnfcIxjbCg0nK8SHZeGNnhZoux+OtD0sqDxYYXgdeGsl2fQ6vLUKM2ol2TT73LdfOzvu1tl+Jxz7D4Udd0vVYtvD0PRZcBb/dylkrCYzVZ7Cd319VkHNe65f4PBS4HjDJlbo8HLzYdImd2zdQirc+ahTVS6670HKx6cxr+gNm265O//fPPoPhsh4nB2reph/eCMms/aOywx3TxCZSNC8T+Xk7xweK9OXVJNJ67gDdto2DJCMphkfipKIpJh9UC3DXUEURSE0GqN1fT9ldXnklXoYG4wQC6XQzGlZvDIQwWw1YTJpaFaNwnIv4bE4iWgau8tCcU2A/tYxbA4zw90xkvE0igobnm9HGAJPvoPwaJy8Mg9tGwbIK3NjspgorPRhMmsk42la1/XTvKiSvl1jCAFVzYV07xihZ+coDo8k13p2jO4mGE20rO0jmzGwuyw0L6okHk6SiKXp3DJEeWM+4bEY0WCCvDIPqAqGkFX03nwn7jwH3duGsTpMFFb4iIVSjPZFyCtzUz2tmPKmAjRNRQjBumdkfuPEYBS728LYoFRDCkPgLXDSvE85q59oYeoi2QwdJ8X0cwsY7ZMN0958H1tWdJJJZUlEpCU7HU9jtptQVYWq5iK6tg9R3pAPisKW3YUoFocJEKSTWXp3yA+jRZV+SuvzANixqofxgQgz9q+WNnbdwOdzklfqITgcZbQvjMtnx+mz4StwkIhmUDWF4HCUWDCBp8C5m9RUiAWTaCYNVVXJJBPYnGZGukOkE2kmBnTG+kKYrbIB2mzWMFul5TkZzeD0aWx+qYMpC8tpXd+H3WWlenoRO1b1UjWtEE+ek2gwQSKSoqQuTxbcFPzvEYmvI7FllLE7t7/t93oozdid28n7YjP26R/+PebKK6/kzjvv5KabbqKhoYEXX3yRL37xixQUFHDggQdOLvfDH/6Qa665hoKCAr7+9a/z5S9/mRUrVgBw7733cumll3L99dez3377cccdd/C73/2O2trayfV/+9vfcs011/CHP/yBOXPm8Je//IXjjjuOrVu30tDQwKpVq1i4cCHPPPMM06ZN2+PJ//PPP09JSQnPP/88ra2tfPazn2X27Nmcc845AJx77rls27aNv/71r5SWlvLAAw9wxBFHsHnz5r1S6UUiEc4880z+7//+DyEE11xzDUcddRS7du3C7Xbv1Xm85JJLuPnmm7n22mvZb7/9GBgYYMeOHYBUUBx++OEsXryYl156CZPJxOWXX84RRxzBpk2b/iWVwwMPPMC3v/1trrvuOpYtW8ajjz7Kl770JcrLyznooINYvXo1Z5xxBh6Ph9/+9rfvqszZ27Ffeuml/PKXv+S6665D0zSOO+44Tj75ZHbu3InH45nc/t5eT9///vf59a9/TW1tLX6/n2XLlnHLLbcwf/78yWVuueUWzjrrLNRPkMophxxyeGeMdbax49kn3vb7dCzGjmefYMohR5BXXfeh7/fiiy/mvvvu47bbbqOqqoqrrrqKww8/nNbWVgKBwPuuf9ddd3HFFVdwww03sGTJEv76179yzTXXTD7ogvefv6LRKMcccwyHHnood955Jx0dHXz729/eYz/BYJCDDz6Yr3zlK1x77bUkEgm+973vceqpp/Lcc89NLnfbbbfx3e9+l9dee41XX32Vs846iyVLlnDooYdiGAYnnXQSRUVFvPbaa4RCoXfN3v3+97/PNddcM0l07s0YDjzwQMrKynj44YcpLi5m3bp1GIZBdXX1e96jq6qquO+++/6tOeGtuPrqq/nBD37AZZddxpNPPsm3v/1tGhsbOfTQQyeXefO8ZDKZeOmllzjjjDP43e9+x/77709bWxtf/epXAfjpT3+KYRgceeSRRCIR7rzzTurq6ti2bRua9s7fod4Nzz77LB6PZ5LQXbNmDeeddx533HEH++67L+Pj47z00kuTy+/tNfrWefGteK/3CHjf8efw0UERQoiPe6fhcBiv10soFMLj2Tur4geFMAQv/8igaplC5cEqA68KNt5kMOc8lVcvM8jEpCV4ZDP0r4C550vSbN6FMq8v0iPzDoUChbNlqUnJYoWCGQrPn2dQdzxsuUUSgQVzoe0BmP99WHGJJNeMLJisUqE48+syo9BRBIFmWPcbmRfoKICy/SWxqVqg4UTIm6qw5VbBshve+ONOhQTPf9tAAeo/A1v/BEuuUMmbqpCOCF75sUHpEtj8J1mssuEGgXN3S7NmhbJ9FUa2CCZ2Sktx3nRJTE77ElQeAs9/G5Ij4K6StmCLTx731lvggGtg5WUw51zY9EdJwBppKF0CFi+0PiDJSNUO4VawFch9xnrfyHVUFGmpnvddsOUrFM2FR04WqObdRKQHZnxVYfudgnnfVXnyLAP/FFnIEmiGJZerWFwKL16kY3bJRuhtt8PRf1V58SKDwtkKigY77hbs/yuV7mcE9ScquCsUxrcLFE1gssuf34qnv6oz/csqqkkwtE4w7UyVh080yCah5miY9111Mosxh08eDN2QmYbF7ve0hQoh3vF9jEdSDHdNUD1dqjazGZ3Wdf1EJmJkUgYOt4W8Mi/xcJLgcAybw4w7T6r9IhNxVFUW/hi6QNVUnF4bDXPLGBsI07qun6pphSTjGYY6JyitDTDSG2LakmoyqQwDbROYLCrplM7EYIT8Mi/xSIqKKQX4d9td4+EUG5a3kV/qoW5OKUIINE1ek0IIEJDN6qx7thWnx0J4VCqj3AE7/mIXo71hqqcV0bK2D3+xCwQUV/vp3jFCLJTA7dHwFgfo3DqEyaxRN6uEvFIPa5/ehdtvZ3wwiifPTnQiQU2zG+/os6wZkB+mGuaWEh5LMNQ5QWGFl2g4SSqeASHwFDipbi5i80udmK0adreVZCyNnjVQTQoIBZffhsWm0dcyjt1loaK5kO5tQyRjGUxmFYfXRmldHulkhsJKH5HxOFtXdAMwY/9qBjrGJ3MeQean1s0uobDSRyalo2d1zBaNDcvbSSeyOH02EDJTVVEk+RoejZNNy8puzaygZ96YDhsXlNOyuhdfsZP6WaWseXIXAKpJxcjKDy/+YhfpRIZMSqekLoCqKQx3B0lE05gtJgorvCRiaax2Mw6PjeBwlNqZJWx8oZ1UPM38wxpRVIVtr3YzZUE5Fvsn35rzUc3fwhAM/moVeij9rstoXivF31vwoVqhU6kUgUCAZ555hsWLF0/+/itf+QrxeJy77757MifpmWee4ZBDDgHgscce4+ijjyaRSGCz2dh3332ZM2fOHkqCRYsWkUwmJwPAy8rK+OY3v8kPfvCDyWUWLlzIggULuP766981U/Gss85i+fLltLW1TX7wP/XUU1FVlb/+9a90d3dTW1tLd3c3paWlk+stW7aMhQsX8otf/IJbb72V888/fzKo/9JLL+XBBx9813BywzDw+XzcfffdHHPMMYBURTzwwAPvWBoTiUQoKCjg97//PV/5ylfe9vqdd97J5Zdfzvbt2yfvxel0Gp/Px4MPPshhhx3GWWedRTAYnAxQX7p0KbNnz+a66657x2NcsmQJ06ZN449//OPk70499VRisRj//Oc/ATjhhBPw+Xzceuut77iNDzL2888/n2uvvXZyuXfKz/og19ODDz7I8ccfP7nMvffey9e//nUGBgawWq2sW7eO+fPn097evodKJIcccvjkQRgGa+69nXQs9q7LWJwu5p96+odqhY7FYvj9fm699VY+//nPA/IhTnV1Neeffz4XXXTR2+5Vb50PFi1axPz58/n9738/ud399tuPaDS61/PXH//4R37wgx/Q29uLzSYdJDfddBPf+MY3Jue0yy+/nJdeeoknn3xychu9vb1UVFSwc+dOGhsbWbp0Kbqu70FILVy4kIMPPphf/vKXPPXUUxx99NF0dXVNzndPPPEERx555OT89Ppcet111+1BbO7NGC688EI6OzvfkYx9v3v0vzonvBOqq6tpbm7m8ccfn/zd5z73OcLhMI899hjwzvPSsmXLOOSQQ7jkkksmf3fnnXdy8cUX09/fz1NPPcWRRx7J9u3baWxsfNt+3+mzwXXXXcd111036Sw466yzeOKJJ+ju7p58IHj//ffzpS99id7e3rc9iPwg1+hb58W34v3eo/cb/+vn7a3XyseRZf1px6f20aeiKuRPUyicIz+8lixWOOI2jaJ5Cgf9VsFVJgmxaB9UHwY1R2gsuULD5leoO0HmBQamArok0AC23irQUwaZBGy8CRAyX7DxJJV531GJ9crl0iHImwoLLoFMAlrug+G10P007PwbFC+Qy4U6YdudspSkaplspO57WYAOPc/JL62JMcHDJxks+pHMZTRZFI57QCNvqhyXxa2w9DqNksUK9SfAht8LQq1SYWiyS7t20QKFSJdUJ2oWKJwj99+7XBaqYEDdibD4UoWe52DLn6R6UrNA24OS9Nt2G7jLYfHPYMY35PZ3/UOqMFWbLLlRNGlpjvVKu7i/WbZmz/gqFMyG7XdJsnJ0s0DoMPc7sOB7CrP+n0rBTJUDrtKI9Mh8ylnflORkcNdu6zhwwNUa+TMV1v4a7HlSZbnoRyqNn1FoOFnhqLsk0TrnPBVUgaEL1v/e4JVLBWt/Y5CJvp0/n/k1lbxpUDRfZeZXNTSrQtkBsrhm2pnK5JeftocMNt2Usx/9JxEajSEMQWQiwdqndjHWH0bV1Mlcu/fCOxGKhm7IQo03XRYjPSEmhqNoJo2ZB1RjdVjIpnVioSRNC8rJr/ARKHFT2VyIyaSRjGdQTSqZjI6iQEVTAWP9YVrW9DF13yryy7wMto9jtmgUVftxem1seqGdLS91kUnrGLogGUuRX+6loNxDIpLCYpUC8m2vdrH5pQ7MVg2by8LO13rYtLzjjcIhRdmdfwhWm5n8Mh+KquD0WBGGwGTSmH1QHb5CFw1zShnrC1NSG8Ac7SA8EkHVDIKjMawW2XBsMqsER2IMdo5TNbWIxnmlzClYSWJ8nIJKL+3bwuwMzgAhrdgjPSGCw1GKqn0YhsBk1ggUuUBRUIDxoSjeAlluY99tAfYXukhE0qTiaZLRFG6/E0UBi91MKp6mcUE5NqcZAYRH43RuGaR35ygdm4fY/moPjQvKKWvMRxiC6EQSoQssNjN1c8rwF7ro2DxI365RzFaNkb4Qq55oIZ3IYnebMVs08ko9VE8vIp3MMt4fIZvWMdtNOLw2yury0czy3KqaQtv6flRNmSQNTWYVzaRQUO7F7bcza2kNUxZWMOOAWiqaCxnsmCAylthNrEo1+kD7OIFiN4qq0LllEJAK6sJyLxa7mfZNA5jMGjMPqPmvIBQ/SqQ6Qu9JKALooRSpjtCHut/W1lbi8TiHHnroZM6gy+Xi9ttvp61tT7vazJkzJ/9dUlICwPCwzJXdvn07++yzzx7Lv/kLRDgcpr+/nyVLluyxzJIlS9i+/e3qzLdi2rRpeygJSkpKJve9efNmdF2nsbFxjzG88MILbxvDu2FoaIhzzjmHhoYGvF4vHo+HaDRKd3f3Xq2/fft2UqnUJOn6VmzcuJHW1lbcbvfk8QUCAZLJ5F4f4zvt8189n2/G3o79zeqUd8MHuZ7eur0TTjgBTdN44IEHAGlRPOigg3KEYg45/BcgPDTwnoQiQDoWJTw08KHut62tjUwms8e90Gw2s3Dhwr2+F+7cuZOFCxfu8bs3/7w389f27duZOXPmJKEIe86BIOeB559/fo9745QpUybH8TrePNfCnvPd9u3bqaio2OMB2lv38zrefI/dmzFs2LCBOXPmvKu681+5R3+QOeGteOu4Fi9e/Lb39K3zyMaNG/nZz362x77OOeccBgYGiMfjbNiwgfLy8nckFD8IZsyYsYfD4NBDD6Wqqora2lpOP/107rrrLuLxOPDBrtH3m2ff7z16v/Hn8NHhU2V/fh3piMDiVmj+wp6caXxI8NovDKw+qZ4LNMkcxVAHBFsNtt8pM9KG14HZCWNbAFU2IptsUn249reSBESRCr2+V6DuOElaJkZV6o5T6HhSZ+3VMPiaJPbKl8r25O6npcpvcLW0PbtKIR2RDclF+0C0U6HmGIW+lw02/VFQOFdgz1M44jaVWL8g0i3IxqHraYOqQ/ccm7tcZdY3pPIO5DEGW+GIW1WG18sCmpJ9oOA7KolxgWoShNqh9SFIjkmlZahVMOMchbGdgrb7peqw7yU48g6Zm9j5FFgfhJ5nJZlYeYgkDTWbgmYVNJyosOkmgb1I5lG+8iNAwIbrYfqXFHbcLRhcLWh/SJ7XxCj46hSePsfgqLtVwp0Gm/4osyr9tSozviLLZzJRwSOnGNQdB7P+n4LZDWObYN3/CXbeKzjoOhV7gTJpgw62Gjx9jqDiENlcDTD1S/DQSQYnPqqiWd4gmIrm7Uk29Sw36HoaTvynisn2xmuBZgVHyccu6s1hN3TdYMdrPUzfr5rwWAyLXSOT0tnyUifeQid2t1UWr2h7/5xkuDtIz84R6ueUAbBrbR+KqtA4r5RMWmewY4KmhRUIQ+bkmcwa3duGCJR6aJpfTmlDHqO9YZoWVDDQMU7vzhF2resjEU0zdXElLp8NQzcob8yfbHtOJbI4PDYS0RQWu4mhriAmi4aipBhTI0zZpwKH2wqAr9BFXqkHh9tKy9o+GuaUknxTO/PrsNhMzD6oDl03SMUzmG0mOrcMUaS9cf36i91M3bcKp8cG1gqapvazY5sBmEmmpLIxMp5Az4YZ7pZNzu6AnRgBDN3AV+hifDCKNVCAp9yC1WbCEAIhIoz0hAiUuElEUoRH47gDdsYHohRW+FEVGOkLU9FUwNpnWtGzuiTcdEEilsFf5MJkNREaiREejyO2yoIXp1daumXGoI++XaMUVvkYaB8nMhZHQUhiMpYmr1S2UYfH43jy7Iz2hlFUZdIWrWoKmtlEMp4mOBKjpNpPNpPF5jKTjGaomlLA2ECE4R5pd/cXOwkORxFIsjYRTrPpxQ65HZOGyaSSjKfRzCodmweZGIpQWOlHMymM9snCnHQyjb/Yg8mskl/mZefqXlRVmVTThscTBIrdFFfvXUv5/wKMyHsTih90ub1FNCofSPzzn/+krKxsj9esVuseP785AP11cv/jyrp7a/i6oiiT+45Go2iaxtq1a99mYdrbMpYzzzyTsbExfvvb31JVVYXVamXx4sWk03t3vt8v9D8ajTJv3jzuuuuut71WUPDxFXu9E/Z27E7n+0cTfJDr6a3bs1gsnHHGGdxyyy2cdNJJ3H333fz2t7/9V4aUQw45fMxIx9+bUPygy30aEY1GOfbYY/nVr371ttdef1AH7z3ffRDszT37zXi/eexfuUd/kDnhX8FbxxiNRrnssss46aST3raszWZ73zGqqow3ejPeqZjsrft1u92sW7eO5cuX89RTT/GTn/yESy+99D2zPd8J7/ee7c1njfcafw4fHT51SsXkuOChEwxig28ngMwuQcliiA9KK/K8CxXGd8D4Duh9UeCthVg/ZOMyV7FwvlQiukogOQFWnyxM2fcKWa7S8BkINMJL3zdY/h2dR0812HC9jiNfwVMDzWfKxuOC6Sqz/5/GAb9WEVlAyGzFJVeomBxgy4dwG8SHIbhLAAql+yooqrRtZuPQ8YSg7jgFk0vQs1yw+WadYNsbYxS6QE8azPyGVAz6m2WWYTpqsOZqwdBa2HiDzBbMa1YQyOPInwnH/AMOuFZasjueELQ9Cvv/SsFTKfsmtvwF8qYrYMjzUjBXkqFjO6RFemy7YOONsPIygbMUxrdKi3fN0ZJUbTwFnCWy1Xp4rTyPdcdA8TyVjscMpn4JHvuiwYsXQ6gV+l+E1dcYKJqCr14lOiDHac+HXf8QrL4CBlbClM9C8xcVrH5pnXsdFreC1Sf3n41D+YEKqXEFq5c9CEWQ5Mbr0NOC+ICg8hD2IBSNrKD/VcGrlwoysRyx+J+ApqksPKqJnp0jdG0bJjqRpHPrIOl0lkCxm22vdNG9Y+QDbVM1qWTSOuEx+QFvYijCcHcQd8BB364xdCHYta6Pba92Ew+n2LGqB5NZw5PvIBpM0Ll1mPB4nC0vdZCMplFNCi6fnWn7VuHNdzK4vYOdq7qwOixUNBXQsWUIh9tKLJTAbDWhp3WcPiv+IhfJWJrQaIyda3rp2DLIjtd6cLitFFX5cQcczDu0AU++k8IK33ueo8rmQoysoLDSh9vn2ON1T8CBoipsWjXKzp2yAdlk1sikDLz5TsxWSdT6C5148hxsfaWLXWONZISdVCxDOp5htCeM2axhc1ro3DyE2WqirCGfWCiF2WZCUUAgleJd24dweGz4CpyMDYTJJLMY2d1/PwpkUzq71vROtl3bnRasDjPZtL47n1LFMAz8xS6qphYSGYsTGYuDAiN9IQTgK3SSSev07RqlpDaAv8hNJp1loG2M4ho/05ZUUT2jCCNrYHNYMFs0JoajCANUTaOkLsD4QITQSAy7y4pm0oiFkiiKgqpCxZQCpu9fjcNtQdVUAqVufEWy0XvLy12M9oVJp7MMdk5QNa0YX5ELgUFhlZ+R7iBd24eIjMewOc3MO6yRwkr5/tXPLaVySiF217//gfLTAtW9d5l6e7vc3mLq1KlYrVa6u7upr6/f47+Kioq93k5zc/MeQeEAK1eunPy3x+OhtLR0MoPxdaxYsYKpU6cCTD7113X9A41hzpw56LrO8PDw28ZQXFz8/hvYfRznnXceRx11FNOmTcNqte4Rnv9+aGhowG638+yzz77j63PnzmXXrl0UFha+7Ri9Xu87rvN+aG5ufs/zubf4V8f+Tu/Xv3s9feUrX+GZZ57hhhtuIJvNvuMXoxxyyOGTB4tj7wisvV1ub/F6UdWb74WZTIbVq1fv9b2wqanpbeTPm3/em/mrubmZTZs27VFQ9uY5EOQ8sHXrVqqrq992f9xbArC5uZmenh4GBt5QfL51P++EvRnDzJkz2bBhA+Pj4++6nfe6R3/Yc8Jbx7Vy5Uqam5vfc525c+eyc+fOt+2rvr4eVVWZOXMmvb29tLS0vOP6BQUFDA4O7kEsvltMylthMplYtmwZV111FZs2baKzs5PnnnvuQ7lGX8f7vUfvN/4cPjp86pSKtoDCEbeoWFww8KqgZLHChusNKg+G134hC1saTgFbnoJmUTnqbsHOvxkIA3qeF9SfIDMWTQ7wVCg0f1FBNSs8/XWdYIvMAOx9Tub6qapsNO54UpaylC6R2Yn1J0gLdMs9sOQXkrjqWS6oWKpi8UDj5yDQoJKNw+xvwta/wM57IRsTmBzQci8c/7DK1lsF7Q8LAlPBW6Mw6xsqj5yi46mBcLdUGFIHL16sE+2HWB8sukyeh/pjYcWPYPn50HCqbGW2+uHZb+mYLFC+PwytlkrEsiUKY1sE5QdC64Ng0kCzKrjKBeM7JKE6skHQcApMOU3h8dPljSbWDyiyhMZWAMkhyJ8F8RHw1cHgKkmqOgoVOh4XhDqkwnHZH1U0M6z+lUE6JnMaszFJ9DacDO0Pw8h6mNgpKN1X0P6IPP7WB6U69KAbwFfzhpLQyAge/azBwu+pFMyC2BAc94BUaxTttnoLISia+wZRmE0KTDaFJ880qD1OoelUle13Clr+ASc+sudNJx2WLdsLf6BgdubyFf9TUBSFbEZH1RTyy7zEQgmS0QyDHePMPrgWi+2D2UeTsTQmk1SSrX+uDZNFQwBrntpFY02CuOqgtzWEyaJRXO1H1+VT0v6WMfSsgc1pRtEUImMJYuEUiqpQWp+HdbeNtXj8H8TUI+jalqWg3Mv4QARfkYNs2kDVMmQzWTwBJxNDUepmldDbMoqv0MpgxwSFlV4EH5zAnhiK0tc6yuyldVgdZsJjMZw+O9qbFJzV04toWd1LNJjEV+TEX+SidUM/mZROeUM+nnwHfa2jlNYFSCUypHa9xkTLGKh5oIO+2w5udZgZ6w/vJugUAiVuvPkOBtom8OQ5QIHR/hDB4RipeAZ1dzO21WHGGasgnBlltD+MxWYiubsoxdAFZquGQJBJZBECxgfDGBlBIioLboQBqVgWzaTiL3RRUpfHrnV9jA2EMXSB02vD4bZSUOmje/swkfEEwjDktaOqpBNZqmYUMdQxzkDbOHa3laqphQRHYthdFjJp2RCXTetYbBpuvwOnz06sK0h4PE5wSKoY3X47Dp+N4GCUZDyD1W7GMAyCw3HqZpYy1BFEj6bZ/loPnnwXmXSWtU/vYvbSWhye3NPSt8Ja40XzWt43U9Fa868RUO8Gt9vNhRdeyHe+8x0Mw2C//fYjFAqxYsUKPB4PZ5555l5t59vf/jZnnXUW8+fPZ8mSJdx1111s3bp1j6KWiy66iJ/+9KfU1dUxe/ZsbrnlFjZs2DCp3issLMRut/PEE09QXl6OzWbbK8KtsbGRL3zhC5xxxhmTofQjIyM8++yzzJw5k6OPPvp9t9HQ0MAdd9zB/PnzCYfDXHTRRe+rCHgzbDYb3/ve97j44ouxWCwsWbKEkZERtm7dytlnn80XvvAFrr76ao4//vjJ9s2uri7uv/9+Lr74YsrLy/d6X6/joosu4tRTT2XOnDksW7aMRx55hPvvv59nnnnmA23nXx17VVUViqLw6KOPctRRR2G32//t66m5uZlFixbxve99jy9/+csf6D3IIYcc/nPwFJVgcTrfN1PRU1Tyrq//K3A6nXzjG9/goosuIhAIUFlZyVVXXUU8Hufss8/eq21861vf4pxzzmH+/Pnsu+++/O1vf2PTpk0faP76/Oc/zw9/+EPOOeccLrnkEjo7O/n1r3+9x36++c1vcvPNN3PaaadNtju3trby17/+lT/96U97VRaybNkyGhsbOfPMM7n66qsJh8P88Ic/3Ktxvt8YTjvtNH7xi19wwgkncOWVV1JSUsL69espLS2dtCK/1z36w54TVqxYwVVXXcUJJ5zA008/zd///vfJvOB3w09+8hOOOeYYKisrOeWUU1BVlY0bN7JlyxYuv/xyDjzwQA444ABOPvlkfvOb31BfX8+OHTtQFIUjjjiCpUuXMjIywlVXXcUpp5zCE088weOPP/6+GdqPPvoo7e3tHHDAAfj9fh577DEMw6CpqelDuUZfx/u9R+83/hw+OnwqKVt3pUKwFTb90SAdEegp2HqLIBODhs8o6Gl48ULB1tskQaEosPXP0t687XapXDRZYXSLQM/Aml8b1B4Fiy+VLcr9r0LH47DhBlj/u92N0tugchkUzILl3xEkRkDPwqorZYHIphsF6agg2gcl+6gUzFZ45usGz34Lgu2ganDM3xUaTlKZd4GCZlEINCmU7Cvt2Q0nSTKrfKmCzQdLfq5RvFBBGILRTZAKSfWjnlQ48i6F5d+RJKejGHb9HVwlCrFehfgAeOqg8WSV4x/SOPZvKhY3dD4Bu+6T9mxnKXQ+ZRDcCZ4qSEehbKlsYB7dJvA3SQWiq1SWtbgroXQfef623wrpoDxmPQ2H/QnqjlNZ/BOFooVSxfT4Fw2eONNgeD3462GfHyocfAPEh2STtLNMFrukw9C/QjDzawoWz+7zvEtmv5lsCtvvlIrUZ79pUH2EQv5MGN8peOVHBsLYU1WoKAoWz+5w+LDgoWMNgq0GFq8kKgHqT4Kpp4Oi7Ukc2gIKh/1Jo3y/T+Wfy38VSmsDGFnBcFeQ+tlllDfmU95UgMNte9f253eDJ2AnmzGYGI5g6AbJeAZvgcz46+nM0N8+AchrdqRX5rjll3rQzCrljfnMOKCG6Uuq0cyyKEhRoH3TAFtf7SI4EmWk7EyGR0y4fHbSqSwltXkYkq9CGKBnBfFwiin7VLBzTS/55R5sDhuKAqqmMtA6zpYVnR9oTP4iF5VTCtn8UgdbX+1i+8puohMJWtb1sv65Vja+0M5wV5BMWgcFYqEUW1d0kV/iobDKR++uUYa7g6iqykD7OEZkjDxLL1EjD2++C5vLzFDPBMERSRQWVEjCw+ayMNobnvxAGIskCY/GiQZ3ZwwiFb+aRaWsIZ+OJ3XiY5I8ymalYtPlk0SbqqloJg1hgMmsMdg+QXAkimZSEW9yvzh9NqxOCztX95BJZ8kks6iaSmQiwWDnBBufbycy9kYRSzatY3NbQIWOTYOoqirVmcks3TtGMJk1YmPjxIJJMqksiqIw2DHBWH+Y8oZ8/EUuNE3F5bcz95B6DEPg9tmJh1MgBBueayOdzJJX4mZ8MEIslEBRIJs2qJ9TyvhAlHnL6nOE4rtAURV8x753K6bv2NoPtaTldfz85z/nxz/+MVdeeSXNzc0cccQR/POf/9yj+fL98NnPfpYf//jHXHzxxcybN4+uri6+8Y1v7LHMeeedx3e/+10uuOACZsyYwRNPPMHDDz882c5sMpn43e9+xx/+8AdKS0vfM6z8rbjllls444wzuOCCC2hqauKEE05g9erVVFZWvv/KwJ///GcmJiaYO3cup59+Oueddx6FhYV7vX+AH//4x1xwwQX85Cc/obm5mc9+9rOTOVgOh4MXX3yRyspKTjrpJJqbmzn77LNJJpP/cuHPCSecwG9/+1t+/etfM23aNP7whz9wyy23sHTp0g+0nX917GVlZVx22WV8//vfp6ioiHPPPRf496+ns88+m3Q6zZe//OUPNI4ccsjhPwdFValdtP97LlO7aL8PtaTldfzyl7/k5JNP5vTTT2fu3Lm0trby5JNPvmN77jvhC1/4ApdccgkXXnghc+fOpaOjg7POOmsPu+j7zV8ul4tHHnmEzZs3M2fOHH74wx++zeb8ulJQ13UOO+wwZsyYwfnnn4/P59trFZmqqjzwwAMkEgkWLlzIV77yFa644oq9Wvf9xmCxWHjqqacoLCzkqKOOYsaMGfzyl798G9n5bvfoD3tOuOCCC1izZg1z5szh8ssv5ze/+Q2HH374e65z+OGH8+ijj/LUU0+xYMECFi1axLXXXktVVdXkMvfddx8LFizgtNNOY+rUqVx88cWT6srm5mZuuOEGrr/+embNmsWqVau48MIL3/fc+nw+7r//fg4++GCam5u56aabuOeee5g2bRrw71+jr+P93qO9GX8OHw0+te3Pelqw9RZJXC25XGXLXwwSo3DAVfKie/AYHX+TzE4MdQCKLDU54WGV/pWCtb8RlO8PCy/RGHhNYLIZrPkNRHsk+TSyASweGNsONj8YOtgDksRz5EH3c5J4i/XLTMW55yu8/H3BlC8oOEthx12CvOmw4f8kKVd9hELTqcrkFybZJitJw47HBVWHKmy8UVA4W6H8QIXh9YKCmW8QYIkRmRdZtUyh5miVjscN9BSMbZN6p74X4PiHFfQEmJ1SfZkMGmz5k0CzQiYOmTDUHqfQ97JsYQ53wPPnGSiaLEvJJOT5ysRg5tfked56iyRIpp8Nm26Uv3OWSZIzGwX/FDj49yqv/MiQWYhbITEmlZ3zvquw6UZBYgwOuFrhiTME6bAkR1VNNj97qyExqjC0VuCuhkP+T2P7XTq+BkkEmz0w55sq9kIwOxR6lgs23WSwz49kM7SrHOqOVxjfJlhwsUYmJphogfZHDRRVYZ8ffrDJPRUSZKKSeM21Qn/8iIWTbFreTmm9n5GeCCazSuW0IgJFbhLRNKlEhrG+INZ4O+ULF8qnA+8CQzcY7QvRul5aKMqb8klEUlQ2S1Iumzaw2EyU1gfw5DkZ6QmR3p1pWD29GKvDTNe2IQBsDgujfSHyy730t46RX+6luMbPtgdilM6w09behtVhnmxttrutuH123AE7woCtr3RRUO2jtDqAqqmTNuDIeJy80g92jxRCMNQVpK91FJvdwrQlVWx7tYtYKIXFplHWkE/Lmj5AKgzNFo2pi6tQzSriT0cyseAyKGzGZFLp2DKEyxrD4i/CbDWRSmQIjcQoqvLTu2sUBPiKnETGEggh9ogTMNs0rHYz2bRBMi4JxCmLKvEXONnxygDB0RCGEDg8FqqnF7P9VVmKYHdbUVWF/DIP6WSGeDRNaDhG+ZR8RrqDpOKSmS2o8DDWF0Ezqdg8VuIhmcHo9ttQVJV4OEE2bZBX7mW0JySVkIbAk2cnMpFAQcFiN5OMpWX5jM2Ef2I5Kf8MiqY3Mz4YIzgcxeowo5lU0rtJ55G+EC6vHZNFw+mxMdgxLklapKV+nyOb0LMG657ZhW4IvAEHBZU+2jcNMG9ZAybLByO/P2n4qOfvxJZRgo+07aFY1LxWfMfWYp+e/6HvL4ccPmn4+c9/zt///nc2bdr0nz6UHHLI4QNirLON9pUv7aFYtDhd1C7aj7zq935w9knCoYceSnFxMXfcccd/+lA+cfg47tGvNyOff/75H9k+csjhw8Snzv78OjbfLOh8StqVt94mmH+BDB7dcbdBwylSWfQ6meYqB3+DtO2ObQM9BWY79CyHykN08ppVXrgQYoNSjWR2SkVd9ZGyEMXiguiAbEte/CMVQ4eCuQbrfws1x8DQKmh9WKCY5P+jfTLXsWCWQvURAv8U2PA7gatU5g4KIXjxQsGB16gEpijUHi3Jq6G1Br56QdtDsOlmOOQGlZWX6cw+V8XXAOM7wV0p2HKrTiYK+/wY1J0K0T5B06kK/Sug70WBnhZMP1slMQodj8Fhf5btzsF22HSTYNGlCnpSKov0tLQ2p0KAgClfhJ13w6775bHqSfA3SWu1vQCSYUk6Wt2ygCbcCc9/28BVBrXHQMUh8hy2PQwTrYJMAiI9kug84i7B8vPAWwNWr1SEZmIw5fOC3hcg3AHPnacztk2+P4t/qrDmGoHVL1h1pXyPy/eH4fVgCwgKzo9yyeMbuc1YQteTMOsbgvHtsPEGg4OvVydbpT8I2h+RJG98RBbVOAoU6o6V15MtoBDuFLz4PYMjbtuz6CWHDwc2pwVPgZPQaJx0Mks2o9C6rp+FRzbRtqGfeCQF6SjllnZEdhbKu5CKE8NRVFWhsNJPKpGVeXpmlb6WUYqq/TQtqKBj8yCGbmBkBS6fHXZbcYe7Q5gsKtte7cLlt+MrcGIya/S3jeHy2ZhzSL3cx1CETK+LWJ6BEIL6OaVsX9kjFVn5TiITCVw+O558B9XTC+ncMkwmniE8JtvJ5hxcR16ph8h4nHg4RdFelnooikJxtZ/CSt9k1mig2I2v0CWLYcwq7oAdl8+GZtZIxTNsWdFJoNiNa99fMhrxMaNGtqrllXlJRFNsfL4dT76DxvllDHeHsDnMlNT6GWibIDgkPzhXTCkgOhEnlciSimXAkErIiikFJCIpUok0O17tpsBeQcdtRTR8W2GkL0gqniEynqCoysdwT4hUIk2gyE0mozPQMTE5rrHeEIYu8BY4CI3GsdrNODxW8su89OwaluHShiA8lsDiMPF6zGoymsJs0zBbTWTTOulEFn+RG4BUPENeiYfyhgAGCh0bl5FOZRlonyAZS2O2aVQ05bNzdS9VU4soqQ0QHI5hMqsYumCgYxxvngOby8JQ1wRWuxlFVTBZNOYd2gCqgqapxMJJqpoL/+sJxY8D9un52KbmkeoIYUTSqG4L1hrvR6JQzCGHTxKi0SidnZ38/ve/z9m0csjhvxR51XUEKmtkG3Q8hsXhxFNU8pEoFD8sxONxbrrpJg4//HA0TeOee+7hmWee4emnn/5PH9onCrl7dA45vDs+uXe4fxPTzlSoOBji/TDRIsgkBK0PCDb/SbDjrwaVy6SKsGSRgrsCWv4uS0T6VxjY8xS8dVKBt+EGePx0mbl4zN9lhmI6IotHSvaRKsfS/RRC7TL3T9GkorD9EchEYaIFTG4pmBrfJkm2+JDMUqw7TmXBxRr1x2k0nQZb/yJYfZXB4Co44GpJFBoZwcrLdWLDOs1fUPDWKLQ9DM1fUGh/RFC2n4K3RqBqUH24zIvMxmS24Y47oOIghVAnTD1TYedfBcWL5PkZ3WKQHIeFlyikgirxEUhNQHQQnjpL8Mw3DJ75mvxWHu8HkQGEbMTWrHDYHxSSo5L881RBqE2SiCIjydX8GXDUnQqeKoh0ga8WXv6+bIRuewBcxQrrfgOjGyWJ2/6IINKpkg7BPj9SKV2iYGSg4USF5Lj8Mlk4V+ZIVi4DzSat6NPPVogPC5zFoO7O788m5Tmesa+dL8+rpfYYlRMfU7G4FYoXKhx+q0Z8GLb85YOLdKd8QaF0yRvnY2SDfM+Wf0f6Ml1lMOdb704oCiGIDYi3/S6HvYOhG8RDSZLR3ZZaXWCxaehZg+ZFFUzbt5KCyjxKDjgaxfbuKqpYMElwKEomnSUyHkcIg4nBCP4SN06PDZdXWj7MVhOugMxLGe0PMz4YIZ3MEo+kEAKiwSRbVnTRu2sUzaKybWUPwZEoiWia7St70KfuovxAlcophbRvHKB5YQUVTQWEx+KU1efhznOQzeik4llK6gOkElkMXWAYgk0vdgKQSmaJBhMf+FypqoJmkrf4eCRF784RbA4znjwnNdOLCY7E8Be6CBS7qZhSSFlDPkVz5zN9v2pYfyfxiQjbV3bRuXmQmhmFhEfj7FzdS+/OETo2DeItkKHaigpF1X6Cw1GyGQNFkW3dxbV+6ueUUFjpY6QnRDycomJKPmPpXvb7lSAWi2N1mzB0wWhvkFQiQ1l9ALffjqopxENJ6T3f/eeRiGZQVIXohPx9764xosEkwpAPSjIpHWM3k5iOZ9HTxhvLK1DVXMjcZQ2omoqqKpMt0uWNeTh9Dtw+O/4iSb7GgkmKagKynCqaxmq3EAsmWP9sK95CJ4qqkIimpDJTgcrmQvxFbrIZg94WWfCgmbXJLEunx0bxbqI2h/eHoirY6nw4Zhdiq/PlCMUc/idw7rnnMm/ePJYuXZqzPueQw38xFFXFW1JGQV0j3pKyTzShCPJh9GOPPcYBBxzAvHnzeOSRR7jvvvtYtmzZf/rQPlHI3aNzyOHd8alVKppdCvXHKbQ/KHBXQKRbYeutgiPuhJWXwsyvKrgroWKpQv/LAl89pBPQ8yJ0vyCz9mZ8DQZflTmDRfNBT0hCMTYAyXEYWiN/RhVULJWW59IlBtO/rND1nGB4LZQsgYGXoPtpaPwsRPukwm3lz8DXpDO2WaFsiSyFiVQJ/I0w5fMKIitJSLNb0PeiXK94AVQfrnLYnyHYJgi2Gay9BvJmSkJy5tcUPBUqCy4xQAhsfoXRLYIFF0mC9NA/arQ+YBDuEgy8Ct56Qc1RsPYawdQzpFqzbwVkVZhxDuz6hzyWWL9geAPUHAkt90mr88gWqdzMmyqLXLqeAsUkCb/up2TZjTUgCHXJLERVU1h2k2Db7bIEp+Fkhe7lAiMj7eO9L0gF57H3aYxtN3jtSkHxfPA1KPS9ZGByQv9L4K6CvuWS1G17WNDzgmyonvlVaV9/4QIDkx0GVwqOf8jCl0+X4e/aWwRrqkmWxuwNnv+2TvXhCjVHqSiKwq77ARX8jbDw+xqrr9aJ7y6KVM0KZfu9se6OewzGtgmW/FwqlEbWw4ofG5z4zzcUS89+Xapnqw79ZH/o+CQgGU2TSemYrG+cP8OAzS91UFqXR2Glj5o51e+7nfLGfNY81SKLVsYTZOIxTGYToYkstTOK2fxyFzanhfGBCIMdE7RvGiQVz+Denfu3fWUPLp8Nu9MCBU40k4qqqNgcZtrWdFI7xYWiKuhpg+0ru9EzOvFImqHuCUrr88iksqgmlVWP70QYkvwysgKL3YTJouIrclPRJK2eigITw+8e/L03SCezVEwpxOY0k80YWBxmUvEMZpsJd0C2RA/3BNn0YgczF/oxv3IT3fGFRCZ0DF0Qi6RQTAqJSIqCci/DPUFaVksLtTAgr8TN2EAYq91MPCptq+HROD07RlA1BRRJAPe3jePJszMeHEUYgoqmAvp2jpDJGkQnZCu2oQscHiujfWFcfjtWu4lAqYdda/rw5DsY7Q3j9NpIxtLousFA5zg1M4sIDku78uvN9oqqTNqxLRYznoCD1nV96FkdXRc43FYsvc8T3+DDeeCJjPSGsNhMVEwpoG5WCYqiYDap9LePU9lcgJ41GOuP4PLaiAQTuAN2xvojhCcSrHpsJ3MOqZ/Md8whhxxy+KC49dZbufXWW//Th5FDDjn8j8Fut3/ggqv/RXyc9+jOzs6PZT855PBh4VNLKgJ4a1RKl+jUHi1VhMf8TcHsUllyuaDl7waaRcHqVQg0q3Q+ZaDHZMmIaoG0gPaHpJrRVSkbmftflTbg2Eqpkpv7bQ3VbLD+WkE2IVud11wtOOh3CkMrYcoXpK0YAYXzINItbdOrXpOW4eXngqJJ8nFilyS6UGD9/xn0vyxLX/KmKhzzd5VsQpJzACt/blCyCIoXqASaDLbdLi3Ya64WlB9ggCYYfBXs+dK+vPmPMOXzBjPO0ag6VKH9UYFikYrCiZ1Qsgh2PQD50yE5Ku3Oq3dn63qqFDbfLLD5YcVPpO042ALOYiGVi1ulpVlzSNJ1YndDvS0PBteA2QGLf6qimuC5cwXpGDSeIhufU2Pga4TgLklUxgYEr/5cl8UzY9J+ng4bZKJSmRkbFDhLoWCmwuAqqW7EgAN+o1A4WyXcJSjbH4bWQmB3Q337Pw3K9pPv85vhrlCYfvbeqV+qj1DwvilL1yfdrWz4P9j5Nx09Bc1ffOd1qw5VKFn0xn4K5yocdbdK9zMGXU8L9v+VxrwLVJyle3Uo//MY6QlidZhIxbN48h0oikJ4LI4330Em9cHInLmH1LNtZbdsciaMXcsSIiAtu00FeAucbAy1k05mSUbT+AqdBIdjVDTno6oqmWSWoe4g+WUeiir9bFnRidtvZ159N69trcJbILMGLTYzitnOxPYEI0qYRCSNxW6ic0sSQzcwmTUCxS5SiSwoglQsw1hfmPxSD3anlbwSD74C17913qYsrABkdmNhpY90Ulq+rXYzmVSWXev6KK3PI1DsxuzNZ23tn8mOZvEVOnH57CgqxMIpUtE0RdV+8srcbHulRzL6Ajq2DOFwWTGEwJfv3K0QTICQ6lKQdmF0QXA4TiKWRs8KBtrGScQyoECgxE1oNIav0ElBhY+ubcOkExmcXpt8SOK0MNoTBmS2psNtxeGxoqoqsVCKVCw9WeTiL3ERHI4CUkmZiKaIh5Mk4xkKyn2M9IYw20xQsQhR5AMgk8qSjKXp2DKI2WLCZNYY6griK3BSUO4jEUkhEKRTWeKhJKmkTqDYTWGVl/aNgygqePKck7mbOeSQQw455JBDDjnkkEMOn3Z8qknFVEjQ/wpUHKyw9VaD0n0VCmYbrPy5wFsjSayRTTrzL1TJxGQ+YP3Jstk5E4Gj71Z4+YcCIw2eSjD7ZHYiQMm+0PWUgZ4SHHqzgsUND58kcJXDyz80iA/A2A6pMvJPheL50P6YzCTc/EeZI1h2AFQfAfZ8BSMjC1I6HhdkImDPh9nnSjKu83Fp33YUgq9epfpwBUexoP9lwX5XKvS+CC1/Fyy6DLb9WbZdmxySOMumBMPrpSVYGILEmEA1Q9E8CLXD9HOg5a+w7EaFwdcEigqjW2STs2aFFy8ySIVkSUv5UhjbCGY3zL9Y5akvGxTMkgrBxT+BHfdIOzPI9Y2UJErTYcHa6wSZuCylGV4LDScbOEogFZSZlkNroftZEFkwOcFeJInSVFCW4ES6Bb0vwYmPSoWa1SPoelrQcBIUzpYKP0+Vgr9RYWyrwJ4PkV6D7XcI/PUKVu8b10W0X2DPA826d6TiyAZpKQ9MkT/XHqWQTQgqDwZXqcq22w2yCbmt/hUCsxMKZsuf7fkK9rd0C1i9CgWzwZYnl/E35qx97wchBMPdQYZ7ghg6oEBkIo4n4KB5nwoyaR3zB8yrUzWViqYCBi0TONwFhMZizDqoGIfbiqIodG4doqDci81pQVR6iYZSWJ1pRnrCzDm4jq4dwxi6gWbSiEdTePIceAucbBmciq/YhKKCr8iNr8BJx+YhPIVeLD6IRVIYhqB2VgmltQEUTSERTdO6vh+r3YTb76Cy2S3JtN143cb876JuVgmZVJZMKovZqjHcFaR98yCldQHcfgeqptKzY5hAsRtVk+3H0YkERTUBjKxBNmOQTmZRVAWL3YTDbSE4HCeVSNO8qJ71z+yivCkfk9lEcbWf/rYxgsMxQGBPtKEHppBOZMkkpQIym9JRVFlI9ToJODEUIxbqxmIzo2oKNodUV+pZGYLq9FqJh1OYzCrF1X52ru6lcUEZekYnGc/g8FgJj8YRBljsJhACV8CBySb/7Q7YcbittKztI25SUJ2CQpAqy3AKxRBgho4tgzjcVvJKZWHMaF+IqftWseO1HqYuqiCT0tm1rp9AiQtVVdCzBlVTP1hbbg455JBDDjnkkEMOOeSQw38zPtV+S6tX4Zh7VVSTQqgD/I2CVEiQDkH/y9K67K6UNthlN6occZuKt0aSi1Y/PPllQekSKNsPFnxfYWIrmMzS5muyw64HBQVzwOJRMNlVao+WJFrpYlkQY/PD4bdJZZ+nRqF0H7D5oPIg2WrcvwLWXQtDq2Fsi0AYgsU/VTA5ofwQGN0seOpsg+7nBDvvhbaHoO1Rg/X/J8nMtocFekqhdF8FRyGsvxbio5LQKl2sUDBbYWQDIKD1Adhxt8FTZws81ZAOgR6XVuXhdVKJWbRAxVEoiVCrBwpmyKZm1SQzBGN9EB+TykKrd3cL9mZp697yFxjdLLMOrQFZepMYhkAjbPqjbEwWOhTOhmAr7LpPqiIVVZKSIxvlusWLJJmZTYCiSUVodEDa0vNnQbRPJz6mM7JRkBgCby0Mrnojk7DyYIVFP1XoXQ4brxcUzFLwNymEuwWPf1EnmxS88mOD7mf2Psdw4SUqDae88afS/4pgcA1sux2C7QbBNig/AJLjgp33GoR7jffdpj1foXBOjkzcW+hZg4H2cXwF0rPu9NoQOkTGE/gKXRSUe/EVfnA132D7OKlEhnQqQ9OCcpwe22Srt9mqEShxU1jpo6BClp44PTYyqSxd24cZaB1j2r7VTAxF6NwsW5yELkgnM2RSWWwOC6HRGG0bBzB0A1tpishEAn+xi0CJG5fPxtZXutj2ajfJWJrypnyyGYPwWJxsWmfLS50Mdo5/qOdxfFDauUvr8qibXUrntiGEEAx2jBOdSLyRB2hSqJleTHlTHppZJTIeBxSqZxTRsraXltW9mMwaoZE4drcFk0kjFU9TUOnDZDWRiCQRQHA4hitgp6jCg72khkxKEoM104vw5DtwB+yThKmRlepnq82EntYx2zQyaZ1oMEnvzmFMFo36uaVUzygGRaG4xk86kUUI2P5qDxODUQxdkF/upXFeGTMPqMZiM5HJ6IRGYmx/tZtoMMlgxwT55V6Kqn0YWUEylma4O0heqYf6OaXYXBY8+XbKG/OIhZJse7Wbba92MzYQwWTS0DMGW1d04y9y0zi/jECRG5fPLo8/hxxyyCGHHHLIIYcccsjhfwifalIRJHnjKJKk1qpfyGzCpdepWPxSEdf3InQ8LlDNChaPwtg2wJBKPkWF8a2y1ffFiwQGsixk2pkKqgkmtsPqX8h2Y0MXNH9RxVMJvcth3gVyO9tuBSEg0KQwvAFW/AhC3bD/r2TOmKcaLD5oPFWl/ACpTNTMEOmE1y6XLcOLL1Nw5Mvsws7H5P/NLoVDb9ZIjMDAawYWvxxbzZEKHY8LKg6CjTcZ0rpbBwWzoe54hQOugcQoOAqg+SwYeBVqjobokODZ/2fQ87wsOYkPQ+NnFWqPkeUoqTDUn6DgKNitWNwmGFwt3Y9dT0ii0ewAPQ3psCQiC+dA5aEQ7ZGqRYtXHr/JAdPOUmg+Q5KWtjz5XukJacc226VSMx2S62SjkugdfBUe/yI89jnofl4w7wKFbBJ6X5Rf5sNdArMb7AFZkpMMSkKw7WGD+IjB9LMVTDaFg3+vUn3kByf04iOCh47X8VbL9141Qe/z8jpp/6egf6XAnq9Qc+Sn/s/qY4fJrDH7oDoKq3wAODwWSuoCVE0ror91jNS/aDktbyqgeloRiUialjV9e7xWVp+Py2cnk84yPhjF7rIwZWEFRZVehrsmCJR4GGgfp2lBBdmMgcmkkMnomCwa4dE4iUgaIaCw0ovdbSE0Kludx3rDDHVN0LqhH6ffLotgBISGo+gZA0NAT8sodpeZ9o2DH2pGX2ldHg3zygCwWE2UN+SDAD0raNv4/9k77zCpqvOPf86dXne298ayC7v0JgIqIKhYUJNojL1ETVOjRpNofhrUJBqjMVVjTGzRaIwVxY6i0usuZWEb23ud2enlnt8fFxeJDQ0Imvt5Hh52bznn3DN35575zvu+3w6sdhNmu4m+dh++gSBmq5nkLBfFE7LIH5tGzfo2zRglruLJcuEen0toOEosEqdhVw++/gDN27vp7xymvbYPg1EhI8fNUH+YsqPGMWpiJgDG6ACB3n5igWHU0NDI+NSEHElTDg9HScl0YjApxKMq0VCc3VWd7FjZjFQl4UAMm8vCpHnF5JWlY3WasbnM+HqDePuCNFf34B8MIxNgNBsIB2JkFiVTsCeaUBECxQD+oQiJ2F4reP9gmERcxeG2kV2SQv7YdEZNzGLsEfk4kqyk57uxOs1sebthxEXa4jChGPUvCXR0dHR0dHR0dHR0/rf4Sqc/v49nlMDikYT6tLqGzmxJdBCcOZCxAFLLtfTKd36kYs/Q6vFNuFQhEYah3VqEX9YRYM+EjEkw3KbVVsyYCvYcaHoJXjpL5dSnDTiytXTe6ke1lONAl9aPyalF7xmsmlnH65dIjrtfUPuspH+7ZNRJsOX3KlJqUXr58zVhzZ0P9nSFjKkqvibNjMVoh5onJbuXJshfCG1vaanUyaO1VFqjVVJ5ryQehOKTBDlHgYxLdj4OLW9qEYDxgGbKkjIWdi/TIg+FARIJsGdDcolWL1GNa2OfdQuE+zVDm4rzofE1SaBrjyBo0ExLRp0iaH5DEvHBmG9qguXALkBobZts2lwY7bDrn5pDtmLSahT2btEiQJNKYO5vDFTem8C7WzNnceZrbtn1z2vHFZ4EXWs19+aiRYKyMwWJqOSNy1Xm/0EhZYzCkTep9GzRXv+dj0tSx8HYb2nGNWnjP9+Hf1sqTPmhYMcjkvGXQlKRYMX1kswpkFQs8JQIRp2kCwsHk/ej2npbfCgGmHlyOTUb2nCn2bHYTJ+5PUeSlfb6fgoqMkjEVJq2a67G74tFAD0tQ3Q1DhCPqpo5R6cfi82kRR86TDRUdWJ3WfD2BUnEtShVxSCIRmIkogm8vUGcyVZcKTZi0QRWm1kTKjuHsdhMTDy6GFWVDPb4MVuNRMOaE3RnvWZA8r7ZyIEmGonT3TKIYtT+zsOBGN1Ng0ippRjXbGgjf2w6wwMhwv4oyZlOPJkOhroDCAMYHRa8nVrKspQQ6g8hDEACxs3KZ/uqJtLytMhFITTTlPdTp2t2RkkzdtEXKQaDY2RMxROzsNhMDHYPk57vQVEEO9e2YrIYKByXSW+rD99AgKyiFNpr++hpGSJndBr9nT4yCjykZLkwW43UV3aQW5ZGLNpNcoYDqYJvIEh30yD5ZVo9goAvQtH4LFKyXDTt6Kb77QYmzy/RzF5UyUD3MO4UOzmlqXTUD+BIspI3Jg2b00J6vofhgRCb3qxDjUtmLCo7KK+Rjo6Ojo6Ojo6Ojo7O4cxXXlRMRCUvnKaSCEP6VM11ePkV2od0GYcJlyusvEHFu0SSNh56t2qmLh2rVNImCFrfloT6tci3wVqoeQIsyZKcoyDvGEF/tQQFUsdp4mPFhQq5R0F/tYq/XUtZlirUPSM5+g6Fdb9QifrAkQNt70na39EEwbpnVQoWao7SmdMEtf+WmjGLhJU3JCg8QTDlSq1m3CvnJxAGLUV7zFmaK3THKrBnC969XiVtvFaPcNbPFaJeeO0iqbkfS0nFJZr5jK9RSx2O+aH8PEHKWEH9syrdm6F/uxa9mD5BsGaJVgtxy+8gqRScOYJ3fyyJh7VUZu9uLX07e6bmij3hMkHnWoktHdrf08REc5IW+TmwQ4s49LdrwmnUrwl11mRNaFTMWt/Lzk5QcQHYM6B/p+Yw3bVBSzm3ZWgRi2kTtGjHmn/B7hdVUscJCo+H3S+pJCIK2/6mRWuqcckp/9Lmbdc/VWIBPreoKBRBzizorZKEBwUliwWzboLNv5cUn/jh2ogxv6RjtaTweD1y8UCRlObA7rLg8FjobfUxPBAaMSHZX/rafXQ1DTB+ThEAgaEQSWl24lLS0+oFReBOdTDU4yc1x01abhLhQISeFi+RQIzSqbnUbmrDaDbS1ThIRkEyaXlukDDYPUzn7gHMNhOxSAJ3qo1QIIYQAk+Gi7QcN+FglN6WIfpiKsIBnbv76dw9SP6YdDp395NZnEx/hw/FKOhuGiIRlziTrLjTHCjKgROtg74wakIi9wTpKQZBUrpmzBIORAl4vWQVJhP2RxkeCNK4rZv8sWkYjQYsDjNtWzsoHJuOtSAP/1CI7qZBQODOsONKtZOe7yHgC5OW697jYO0nf0wGOSWpbHqjniFKIKFitJhQ4ypSSuLROEPdfhweK95ePzaXhaR0O1JCf4ePoR4/FoeReDRBTmka8ViCzt0DKAqoqkrl2w04kqzEogkKxppBQkfDADaXhYwCD1aHmcFuP30dXtJy3XQ2DrK7qguLfa8gPfW40bTs7CGjwMNQj59da1tJy3OTNyaN+s0dmCwGPOlOHEk23Cl2zNav/GNUR0dHR0dHR0dHR0fnI/nKqx0Gs2De7xTSJsHYswTObEFSAaSUa2m67/1UJdgHJYu16EMhoPRrgm1/g5U3atF4kQFAaGnAAI5saH5FEyWd2YIJlwomXiZoWCpZdrbKtgdUGl/V6hSa3JB/LNQ/K3n3OpVEDEpOhxk/1hydYwHoWA07HpQYHTD+UoWUcqg4TzNRaXpVM3xpenVvtNKcXyoc/WvBjJ8odG8QNL8Ks28xMPkHgjm3KRz9awPxMKz7pUrNUyoWjybaFZ2o1VD0FAuOul2h6TUtcrFnC3SukdQ8qYmJJid0r9+TTuzUUrQtyZp5zajF2u+Fx8HATs3ARSagcz00vCR598eSuqeh+XVNJESB6T/SxMTQAJSeAbNv1dLHrSmQiGvXWHyiINSnHZeIwsbfQH81zL0bHNlamuJwqxYtarTAzBsNNL8B+XMFHWtg90sSi0cQ6oGkIkmgB2r+Bb6mvffC2HMUJlz2+W/5QJdk94uS/LmChuclLW9J8o5RmPdbhayZWrTrB6m8V6Xyz/JD23X+O8pm5DE8GKZofAbuVPtnPt+daie/LB2A4HCEnJJU7G4rgaEQ8WiCjLwketuGNPfhSJxNr9fR3eRFCEFafhLOZBt5ZenklKTgSLLS3TxIzfo2qte0MNDpR6rgSXMQjyaQElKzXSNu0f2dPrYsbyAajYOAwFCESChOWp6bzt39RKNxOur7cSZZR2r0hfwRdq5vJegLH9B5TM50kTs6FavDjNVpJjnLyWC3n/a6PlwpNspn5RPyRzGYFAonaGnLnQ0DRIIx2mv7UBMSX2+AwS4/QW+EovGZjDuqCHeqne7mQZweK65kG4oiqJhVSGqWi91bO9m2shmDURCPqhRPyqSgPEMTN1Ut7TsSitJW10dbXR+7q7roa/MRi8Tx9gZBgMNtw9cfJDnTSXKmk/wxaZRMzqW/Yxhnko2kdAdGk4HgcIRYJI5UIeiNEA3FGegYpqm6i6Avgq8/SDQYJTnTwejJ2aTnJdHf6aNmfRsDncOoCcm0haVYHSaiEc0BPG9sGjklWr0Gk9lAUroDm8tyQF8XHZ0P0tTUhBCCysrKQz0UioqK+N3vfnfQ2l+yZAmTJ08e+f2iiy7i9NNPP2j96ejo6OgcfB5++GE8Hs+hHsYXzrx587j66qsPSd8rVqxACMHQ0NAh6f9Ac7DXH18Uh/KeeJ//nEshBM8///x/3e7/RIhFyhhBySkCV4FAGAQWj5ZymzdPof09le1/0+orml2aUNayXFJ0AlRcJLC4FXa/nMCZC+9cA9a0vSm9Ox6WWJKh4nzB9oclwX5IKdWi6oQBLB5Qo9D8hmbeMlCrReZ1roWmV1QiQ9oxBivMu1+rFTjnV5KW5RJ3kWDX45Kj74DhVoElGXqrVN65TlJ6BnStg0RYEyLn/U4w1CCJBbTrCA9IIl7NhCbQqaVj92+DxmWawJm/QFD7lOb0nHMMeBu1mpPjLxMUL1IY2JGg6U2I+iXJpZrwmT1T0PiypHujZHCXZsqixrUUcKSW2h3u16ILM6dqAuCk70HtvzU36VlLFLY9oFLzL0308zZC1jQoOknQWykpP1eQPkmy6mdQvEgTOvu2Q+dqmHqtJH+eQiygYnaDeSoM7JREhiSKWXDULxVsGWCyC2r+pRLqF8y9C3oqJZ7R/11kl0xIon7N9Cfi1WpJqqpATUCoVxN93IWC927QIkRTK8CaItl6vyR7Foz5pjJi/AEQHdYiUBWTnib9eTFbjYSDUZq295BVlIJi+GxCsdlqHIku276yaU/UWyrJ6U6mHecBBG01fdhcFkxmA9OOL2Ww289Ap4/m6h6KxmXSuquHgrEZBLwRckpS8A+GGR4Mkj0qmeHBMCabEZvTTFqOm+GhMAaDoGlHF8lZLorGZ9K4tYuMwiR6mr34h8KMmpBJT/MQ0bDmyuwfCpOS5cKT6URNqPS1eknEPt0A6LPS3zFMOBBFMQj6/VEyCjzEowmatnczad4ovL0B2mr6CPmjjJ6SzUCnD5PVhFDA1x/Ck+lkqMePqkJDZRdILeJRVVU86Q4t1XljK0gonpiNmpAoCoQjCRSjoLGqWxMBzQat1qOUWOxGKt9qRAJ2jxlffwjfnnqUANnFHkwWE7FogoaqTqLBOBWzC8gpSaVuUzvCIIhHtQjGREzF6jQR9scY6vXjSrUR8IU1h2+DIL3AQ2ZBMrAnHXxrFxkFHpKznLhS7AhFUDA2g5ZdPeze1kk4EGPacaUH/HXQ0dHR0dHR0dH56vDss89iMu1/aaYVK1Ywf/58BgcH/ydFWNAE6KuvvvorI4b+L/E/ISoCFCzUhIf+aknfdi3NuexMzXxk94tavUV7lpZWG+jWBEezA9rfk9Q/B7GgFnUo0KL+Mqdpwlr6ZDB7JG3LtX4SEa3+YPU/IG0cNDyv1Sjs2gDpkzQx010IDS9qx1mSFHYvldhTBXnzVJy5ktm3aOm6+XMlSaMEmdOh8s8qUpVUXCiwpWoi4KTvKHSskZgdCvUrE0SHNZfj3KMEc+8y4G2UrL9dJXkshHvB6IT8+YIVV6tM/oHAlirY9neJp0SL0nQXaNcw9lyFluUqiRAMN8O83wsSYc0URY1JLClaLcW8o2HbA6DGNDdrxQDJpaDGBbNuEay7TSXYpblst66QxCNadGL7Ki3Ks/VtCA1KIoOQMxsypihY01R6t2ou1jG/ljq9+0XY9bhKsFeLJM2cAcFulYalMO4iTfB7n2C3JoJmTFbImPzf3zctb0mq/yE58VEDKWMEUmoRrnN/I7BlCPq2SRzZkp7NUH6uZNXPJDN/po1nqFZgdqsYrBDqVTDaJOt+KSk8XjD2bF1U/LxIKWGPvtZe10/+2PTP3daUBSX0tAzRuquXzoYBJhxdhJpQsbktWO1mEnGVnpYhMguTEUIS9EcJ+sJMnDsKxSDo6/Dh9NjIKEgm6AuTku3GZPbR3tBPNBQjvcCDb7CTvo5hpMqe9GKtvqK3N0hqjgtff5Cd61oZNSkLb1+QonGZCCHYta6Vxq2dJGc5SUpzINUDH/E6/qgivH0BbE4zoUCUREylblM7nkwH9Vs68WTYsbvMWupxt59EQsVqN2Gxm8koTMLbG8BgNGA2GYiEouSPzaB+UztSatfa0TBAUroTh9uCI8lCel4Sm9+sp2RyDg63hcq3d+MfDGFzmWjc2onVoZnhWBwmLDYTKVku3KkO3Kl2gsNh2mr76esYZrg/RHA4AmjvCS07exkeDGK2GUnNce2piehHVSU2p4VIKE7IH8VTlIzNaaW/w0skFCMeU0nO0ObXlWwjEU+QX5ZG7aY2fH1BrJOzsTrNuFLs9LZ5KRqXecBfA50PI6XKwFAtkcgQFouHFE8ZQnzlEyt0dHR0dL4CSClRBwIQiYPFiJLi2CfAQOezE41GMZvNh3oYn4mUlJRDPQQdnS+M/6lVeiwoeedalaNuFxz9a4XNv5e8/m1J3jEw9SoDo05SyJohGH+JQjwiaXtPZeNdKrZUzS1ZjUB4APKOgclXCE58RKH9XRhuEhQcp0UGehv31DdMhzFng7tEc1uWCa2OYcNbCd78S5B4AOqe1moUTvyugjAIutbD+l9qY132rQTLf6DibdbUkwmXCXa/CNkzBJEhMZJeXHicQrBbsuMRrdZf8YmCklMVpCpx5mjOxLGgZhgTHoSq+yTJZZA+WZB7tGDid6Bns1b3cdXPJG9cnuCVC1Ry54IwwYL7DLSvhDe/p9K/XVL/vGbyMv5CQd82zVwl71jInA4zf6bgbdRcnxGaiJhUpjk+b3tQM2ZxZGmp1MIEqeM1I5zhFmh5W6XmKUlKhSbuhnu1VOjIEFRcDDlzNHfoeEgTa6debeD4vyskYpK+bXsjuKZcpZA2XtC6QhLx/vciTP58wbzf7v0zmXq1Qvk5AqNDYPXAyp+pBHsEx/xaofVtmH2bQtYRCkf9ysCUqwVrb4E3vgPrfqXS9Lo2ntKv6wuL/4b4B5x622p76Woc+NxtmcxGkjNdWOwm7C4zW99tpK/dh2IQWB0m1r9cg68vSCKewD8YoatxkJ3rWknEEmx9p5HiCVn0tHhpr+sjLTcJpKRpRzep2U4mzh2Frz9I/x7hccIxxWQXpRD2x4hFEhRWZIKAGYvGkF+WRsgfZbDbT3N1D+31ffi9ISQwPBDCbDOyc10L1WtbqN3YdgBmcS9JaQ7MVhNJqQ6S0h1IVSUWiSMEREJxxs0pomJWAZ4MJ7mjUzGajXj7AvQ0exnsDZA3Nh3/YAhPupP03CRmnVpBZqGHlp29qHGVwa5h+jt8WrRgjx9VVemo7wMhKJ2Wg1AE/sEI4UAMb1+AgC/CtIWljJ9TRFpeEq4UG4pBIbMwBXeqDf9ACKPFQN6YNBSDJvQLBZAQjyYIDUfoafUy3K9FN2YUeHC4LSDlHpHTTiySICndQdH4TJq2d7O7qovGbV2EhqP0tnmxu6wM9fiJhuN7RGPNNCarKPmAzr3Oh+nq2cTbq69n3ZY7qaz+K+u23Mnbq6+nq2fTQetTVVVuv/12iouLsdlsTJo0iaeffnpk//tpRMuWLWPixIlYrVaOPPJItm/fvk87K1eu5Oijj8Zms5Gfn89VV11FIBAY2V9UVMSvfvUrLrnkElwuFwUFBfz1r3/dp43169czZcoUrFYr06dPZ8uWLSP7pJSMHj2au+66a59zKisrEUJQX18PaKks999/P6eccgp2u53y8nLWrFlDfX098+bNw+FwMHv2bBoaGkbaaGho4LTTTiMzMxOn08mMGTN48803P/NcPvjgg4wbNw6LxUJ2djZXXHHFyL6hoSEuvfRS0tPTcbvdHHvssVRVVX3mPnR0dHQOVxJdXiIraoitbyRW1UpsfSORFTUkurwHpb+//vWv5OTkoKr7ZrOcdtppXHLJJcD+vb/fe++9lJaWYrVayczM5IwzzhjZp6oqd955J6NHj8ZisVBQUMAvf6l9YP2oNNv3n0lNTU0fOeb9GU9RURG33XYbF1xwAW63m8svv/wj23r11Vc56qij8Hg8pKamcsopp+zzbItGo1xxxRVkZ2djtVopLCzk9ttvB7Rn6pIlSygoKMBisZCTk8NVV101cu7g4CAXXHABycnJ2O12TjzxROrq6vbpf9WqVcybNw+73U5ycjInnHACg4ODwIdTXf/xj38wffp0XC4XWVlZnHPOOfT09ABaqZP58+cDkJycjBCCiy66aGT+P2mNAvDyyy9TVlaGzWZj/vz5Hzv37/Np115UVMQvfvELLrjgApxOJ4WFhSxdupTe3l5OO+00nE4nEydOZOPGjfu0+8wzz4ysAYqKirj77rv32f9Jc7pixQouvvhivF6t5JQQgiVLloycGwwGP3H99J/MmzePK6+8kquvvprk5GQyMzN54IEHCAQCXHzxxbhcLkaPHs0rr7wycs5Hpeo///zz+3wpUFVVxfz583G5XLjdbqZNm7bPPHzSPfGfRCIRrrvuOnJzc3E4HMycOZMVK1Z84nUNDQ3xne98h8zMTKxWK+PHj+ell14a2f9pa9GDxf+UqGiyC05/SXMHThkjmPwDgdmtpSWrCUlymaD8PAV/m2TL7yQdq2DUqZojsT1dq+dn9mhmIutuk6y/Q2XBnxUKjpME2rVUZs8YaH5NS9ut+jNMuwYMJs3kZNYSBXuqwG01EuyFggXauGIByabfqhxzF8z5lSDml+QcDWnjtTGDVhvylH8rJI8RlH1TcMydCgazts+eKTjxHwpqQqtHuOmeBM8t1gTR8ABE92guiRCE+rW6hmtvVXnrhyo1T8LkKzWh0JwMqqpFG06/TmHBnxSG2yS9lZJ5v1VwZAmOvElh8TMG0icr2FLBZIfWt6D1HQj1SY7/m4HtD0qq7pX422Bol9Z3WoUmKPZs0epZ5s7R3KXTK8Ds1lKze7ZIuteByQHTfgwTvwPz/yDInKSgGAEDIKH6MXj5nASOLNhwu2TljZJYQOX1SxMM1GoP1bqnVXzN//09E+rbk+6+B2uyIOKD1y9WiQ7DaS8opFYI0icLHFkCsxM610oq/6SiGAQnPSEYfboWmTn5+wZOeMiAwSJQ45IXz0gwsOvAp7R+UWxY+gxbXn3xC+/X5rAw+7QKkjIcKAaF9vp+/EMhqtc0U7360190KSX9Hb6RyD+7y8KkuaPILUtnyoISfH1BfH1B4rEEBqNC+awCWmv66Gv3MnXBaEwWI/VbOnB4bFjtJlKynYQDUQD6OnwkEiqtu/owmgykZLmYfWoF42YX4kq2AZCa42bc7EKcHiuedKdWry8Yw2Q2aqYo/UEGOoaJRxMYTQpZo1IomZzD5GNL8PYe3IdCPJpAIggHYqTmuuhr8xHwhulqHMRkNuBIsmKyGEGC2WbEaFSo39RO+ZEF+0TxlUzOIS0viXhMpaAig9JpuYSCEXatbyURVwn5o1St2E3rrl7MFsPe10aF2o1tDHYP09U0wMZXa9m9tYtdG1qpemc38bhKcDiCJ8NJe10/yVkuUnNcjJmRhzPFRnKWk4wCDxOPLmb6ojKsThON27oYO7MACRjNBmx2M/lj0wn5o2TkeyidlktOaQo2p5mkdAdtdX2YLAbKjyzA6dFes6Q0BzNOKPvMqfY6n42unk1s3v5nwpF9F1/hyCCbt//5oAmLt99+O48++ih/+ctf2LFjB9dccw3nnXce77zzzj7HXX/99dx9991s2LCB9PR0Fi9eTCwWA7QPSYsWLeIb3/gGW7du5V//+hcrV67cR1QDuPvuu0fEwu9///t873vfo6amBgC/388pp5xCRUUFmzZtYsmSJVx33XUj5wohuOSSS3jooYf2afOhhx7imGOOYfTo0SPb3v8wVllZydixYznnnHP4zne+ww033MDGjRuRUu4zNr/fz0knncTy5cvZsmULixYtYvHixbS0tOz3PN5333384Ac/4PLLL2fbtm0sXbp0nzGdeeaZ9PT08Morr7Bp0yamTp3KggULGBj4/F8M6ejo6BwuJLq8xLa0QDi2745wjNiWloMiLJ555pn09/fz9ttvj2wbGBjg1Vdf5dxzzwU+/f1948aNXHXVVdx6663U1NTw6quvcswxx4y0d8MNN3DHHXdw0003UV1dzT//+U8yMz9/5sb+Pm/uuusuJk2axJYtW7jppps+sq1AIMC1117Lxo0bWb58OYqi8LWvfW1EZP3DH/7A0qVLeeqpp6ipqeHxxx+nqKgI0ASwe+65h/vvv5+6ujqef/55JkyYMNL2RRddxMaNG1m6dClr1qxBSslJJ5008tyvrKxkwYIFVFRUsGbNGlauXMnixYtJJBIfGidALBbjtttuo6qqiueff56mpqYR4TA/P59nnnkGgJqaGjo7O/n9738PfPoapbW1la9//essXryYyspKLr30Un76059+4mvwadcOcM899zBnzhy2bNnCySefzPnnn88FF1zAeeedx+bNmykpKeGCCy4Y8Q7YtGkT3/zmN/nWt77Ftm3bWLJkCTfddBMPP/zwfs3p7Nmz+d3vfofb7aazs5POzs591kCftH76OB555BHS0tJYv349V155Jd/73vc488wzmT17Nps3b+b444/n/PPPJxgMfmI7H+Tcc88lLy+PDRs2sGnTJn7605+OpLl/1nviiiuuYM2aNTz55JNs3bqVM888k0WLFn1IvH4fVVU58cQTWbVqFY899hjV1dXccccdGAzaZ6n9XYseFOQhwOv1SkB6vd5D0b2UUsqeLapU46r0dyTk6iVxOdiQkJX3Jkb21z6dkO9cH5cvnxeXdc/G5aqb4rJ9ZVy2vpOQlffGZdVf4jI8pGptVSXkU/Pjsnl5XD59Qlw+NS8ut/41Ll+5IC5rno7LV78dl/UvxKW3SZUb7ozLF74Wly+eEZe7nopLKaVcdbO2LTKs9e9tUuXyH8RlIq5+6nV4WxJy2Tlx2bUpIWNBVW76XUKuuD4u/70gLp9fHJcDdQn55ve1Mb3xnbh8++q4XPp17fcXvh6Xz54Yl8OdCdm5Pi6rH9O2Lz0zPtL+cJsqt/wpIdf/Oi5fuyQu4xFV9mxR5Y6HE3LNrXH51LFxueHuuHxqflxu/Xtcbn8wIVvejsuXL4jL0EBcPn96XL59bVwuPSMuG5Zp42p4KS7X/lLr/9/Ha+e+8V2t777quPz3wrh89mSt7WXnxGX7mrh87pS4XHZ+XK64ThvfW1fFZTSgylhIlRFvQja+mpDPnKidE/F9+rztD9sfSsitDyS01361Kt+7UZsXX4sqQ/2Jjz1vsE6Vu5d9/H4ppUxEVfncyXHZu/2Tjzuc2b15g2zauuVQD0MGhyNy1fM75OqlO+Tm5XXS7w196BhV3XtPRCMxueG1GhkORKWUUrbX98mhnmG56Y1amYgnZFtdr9y5rkXWbGyT1WuaZSQYlTWbWmVLTY9UVVWuXlotV7+4Q656YYeMxxLSNxCUdZvbZfWaZrnq+R1y28pG6feGZDQSl+31fbK/wzfSdzyWkFvf3S1bdvWMbGvc1iV3rmuRAW9Ibl/ZKL39flm9rkWufalarnphhwz4wiPH9rV75cbXaw/GNI4wPBCUO9c2y01v1MmajW0yGo7JcDAqq95tkKte2CEbqjrklhX1ctXzO+SmN+tk1Tu75fqXd8nVS6tlb9uQ9PUH5O5tnbK7dVBueateVr5dL9tqe+XqF3bI5upuGQlF5YbXamRDVbtc9/Iu2dnUL6ve2S3rtrTL9vo+ueHVGhn0R2Rbfa9cvXSH7O/wyp3rW+T6V2pkwBeWG1+vlUO9frnu5Z0yHkvIaDgmVVWVW5bXyTUvVktff0CuebFa1m1pl2terJaNO7q0ed7eKTe8ViPXvlQtq9e2jFxv044uWb2mWa55cafc+HqNXP1Ctezv9H3c9PzPc7Ce36qakMtXXiuXLb/4Y/8tX/kjqaoH9j0zHA5Lu90uV69evc/2b3/72/Lss8+WUkr59ttvS0A++eSTI/v7+/ulzWaT//rXv0aOv/zyy/dp47333pOKoshQSHtPKiwslOedd94HrlmVGRkZ8r777pNSSnn//ffL1NTUkeOllPK+++6TgNyyZYuUUsr29nZpMBjkunXrpJRSRqNRmZaWJh9++OGRcwD5f//3fyO/r1mzRgLy73//+8i2J554Qlqt1k+cm3Hjxsk//vGPI78XFhbKe+6552OPz8nJkT/72c8+ct97770n3W63DIfD+2wvKSmR999/v5RSyp///Ody0qRJI/suvPBCedppp33iGHV0dHQOB1RVlaG3dsrQy1s//t9bO/dZjx4oTjvtNHnJJZeM/H7//ffLnJwcmUh8/PPyg+/vzzzzjHS73dLn+/Dax+fzSYvFIh944IGPbOf95+Pg4ODIti1btkhANjY2SimlfOihh2RSUtInXsNHPW9OP/30Tzzno+jt7ZWA3LZtm5RSyiuvvFIee+yxHznvd999tywrK5PRaPRD+2prayUgV61aNbKtr69P2mw2+dRTT0kppTz77LPlnDlzPnYsc+fOlT/84Q8/dv+GDRskIIeHh6WUHz2X+7NGueGGG2RFRcU++3/yk598qK39vXYpP7xe6ezslIC86aabRra9v7bo7OyUUkp5zjnnyOOOO26fdq6//vqRse3PnH7cvfJp66ePYu7cufKoo44a+T0ej0uHwyHPP//8D13XmjVrPrb/5557Tn5QMnO5XPusuT7IZ7knmpubpcFgkO3t7fscs2DBAnnDDTd85PmvvfaaVBRF1tTUfOT+/V2LfnAtB8jnnnvuY8e8v/xPhl3EQ5KV/6cy3AqDdYLuTdBXpUXJvM9wi5ZyG/Nr9REVk6BjtSBnjmCoAZy5YqSWX/pEhWN+I9j8W5jxEy3a0JoqyD1KUPYNA0JqEXrDreDv1MxS3EVgT9POz5giiA3DYI32u7tQcOyfDCiGfdNkW95SWXGtpnT72yWdayUb79Qcqlf/XNK1SUtRnvZDwYmPKUy5BhSzZGAnlJ+vmcdM/7EWeVlyOky7WuH0lxT6t8Gm32q1C8svBLNjb5+7l0nCAxLPnpRppASDxGDRojdLvw6Tv69F4+UdJaj+h2YYE+yGN78DSG1uoz6of1ar21h5r+Y6nT8XsmeCYoT3A1OE0KL6MmeA0aa9Jomoll4d6oVAB4w5QzDhUgWTXWC0CsxuhaITFKb/CCZ8W2B2HZj0Ylu6ZlAz+1YDnhIoXqT9ubx7vUr/jo/vwzNaUHzSJ/9pKSbB6S8ZSBv35f0TLJ4yHaf50DtbWx0miidkMfaIAtJykjDsiSYLB6J0NPTT2+5ly5v19LZp3xCHhqNMO64Ui137VsnbF8BgMjB1YSlCEeSOTmPsEfmk5bgY6vWz6Y06rDYzPc1DNFR1kFnkwWIzYXdZaKjqoLm6m4A3xPBgCGeKjVg0TvOObra9uxtvX4CB7mG2r2oCoLm6m0gwhtGojVFKSVfTAJ50Bx0N/QT9UapXt+DrC+BMtjN6Sg5Wh4mgL0xn4yDOZBtjZuQd1Pl0JtsonZ7H+DmFjJqQRXt9P007ugkMhUFCSo6L4FAEg1HgSrYR9kdQpcRgVGio6iShSoQi6G/3IaUk4ItgdZhQDILBbj+xSIJoKE4kFMfhtpCU5sTqMCMEGIwGMouS6W4cwD8QRqpQt7mdwFAYk9lAyB/RIkSdZrKKUxgeDLL5zXpqNrQRi6vYnGacHhs5pZpDsyfDiX8gRCQUIxGXTDuulPIjCyiekElbTS+tNb0UjM1gzIw8Zp48htzSdCbOLSY503lQ51jnwwwM1X4oQvE/CUcGGBiqPaD91tfXEwwGOe6443A6nSP/Hn300X1SqABmzZo18nNKSgpjxoxh586dgJYO8/DDD+/TxgknnICqqjQ2No6cN3HixJGfhRBkZWWNpD/t3LlzJL36o/oEyMnJ4eSTT+bBBx8E4MUXXyQSiXDmmWfuc9wH+3k/ouSDUQiZmZmEw2F8Ph+gRY5cd911lJeX4/F4cDqd7Ny5c78jFXt6eujo6GDBggUfub+qqgq/309qauo+c9TY2PihedbR0dH5sqEOBD4cofifhGPacQeYc889l2eeeYZIRKs1/fjjj/Otb30LRdHWmp/2/n7cccdRWFjIqFGjOP/883n88cdHIrd27txJJBL52Pf2z8P+Pm+mT5/+qW3V1dVx9tlnM2rUKNxu90gU4vttXXTRRVRWVjJmzBiuuuoqXn/99ZFzzzzzTEKhEKNGjeKyyy7jueeeIx6PA9p1G41GZs6cOXJ8amrqPs/996PS9pdNmzaxePFiCgoKcLlczJ07d5+xfhT7s0bZuXPnPuOED68d/pNPuvb32Z91BLDPGmbOnDn7tDFnzhzq6upIJBL7NaefxCetn/bnHIPBQGpq6idew/5w7bXXcumll7Jw4ULuuOOOfdYwn+We2LZtG4lEgrKysn1e23feeedj10WVlZXk5eVRVlb2kfv3dy16MPifMWr5IEab4PQXNVdedxEEezQn51lLPlA77xrt56LjJT1VkrRxmlglVUlyqSBntiYq7XxMRShQ8y9J8WJY/wvImCpJGSsIdMKuJxJ4mzSBUhjgqF8JXjlP4hmtmbYAjD5dIX++3MdwBKBxmYojW5AxdY/4OFnQtVay6wkVezq0r5SYHJB7FJScKkgph233S5rfkIy7SKF7o+DtKyTFJ2r1F4ebYbAOso4QGCxamm7OUYK65yRlZ0Hp6Vro7PiLtP4H67S2IoNgTRFMuVLhxW8kiIdhxo8FZWdqtSDjEZXmNyFtsuTrryoM1qtaemQSeEqg+U1ILgNvHeQerTlF23Jh96uaoKjGtG3jL4WUsQYmX5mg4XmY9XPB1r9I1AhM/oFC+iTNVTkakKhxbU5kQtJfDWkTBAULDBxIRp28936wZwjsGdrPxz+ojKSl/y8TqnyRR2+/jwu/+3VS5l96yMYhhCB7lFYM+YNiUCwSx9sbYLDbj9VppnVXDylZLqrXNJOTr7Lljec56lsXMPaIfLa910hOSQoNlV1IKcks8BAYjpBbmk7AG6KrSUvP8/WFSMQTGM0G7G4L/e0+PJlOrDYTqbkWBjp9RAJxjEYDrhQbQij0tXlJSnMQjyVGHJFbdvWSXZKKEIKJc0dRtaKBcXOKyB+TTlfzIL0tXkomZVO9phmLzUT1mhakKrG7C0lKdXzkPBxIDAYFg027/00WA0KB7FEpDHUHqF7VgsGkUDA2g+xRKQSHI8RjcU08tJmIhmN0NgwgQHNYzksiHldRVUnAG2aozz/yumUWJSMEJOIqAW+EsD+Krz+EyaKQW5qOYhCa4Ut9P0lpdlp39RD0RbHYTPS2DdFW0wfAQOcwJZOy8Q0EEYogJdNF844eSqfnMtg5TH/nMEFfGAB3qoO6ze3EYyo5o1IQikCg/T3rNRMPHZHI0AE9bn/x+7X7cdmyZeTm5u6zz2KxfKZ2vvOd7+xTk+h9CgoKRn7+TydIIcSHamF9Gpdeeinnn38+99xzDw899BBnnXUWdrt9n2M+2M/7tYA+atv7fV933XW88cYb3HXXXYwePRqbzcYZZ5xBNBrdrzHZbLZP3O/3+8nOzv7IWkH/qy6XOjo6XyEi8U8/5rMc9xlYvHgxUkqWLVvGjBkzeO+997jnnntG9n/a+7vL5WLz5s2sWLGC119/nZtvvpklS5awYcOGT31vf1+4lHJvkMH76cEfx/4+bxyOT1/vLl68mMLCQh544IGR2pLjx48faWvq1Kk0Njbyyiuv8Oabb/LNb36ThQsX8vTTT5Ofn09NTQ1vvvkmb7zxBt///vf5zW9+86HSJx/Hp83NBwkEApxwwgmccMIJPP7446Snp9PS0sIJJ5zwic/ZA7VG+U8+6drfXyt81nXEwebzrJ8+6pxPugZFUfa5l+HD9/OSJUs455xzWLZsGa+88go///nPefLJJ/na1772me4Jv9+PwWBg06ZNI+nL7+N0fnRww/6stfZnLXow+J8UFYF9Cm6WnWHAU6piMKv42xUGayWJCHSuk3Rv0kQvqUqOvkMwsAvKzxOYHIJEXMWZB0hJdBhcuTDv92B2KxgtWj2+7s2QO0cy/hIDVfeptL4lWfy0gebXVVb9TLLoUW0M/yko9lapDLdLzB/Ybk0ROHLA16K5DU/6vsKaW1TMTnAXCbo3qvjbtDqH4UGJNVkyawm48xXeu1EzX3FmKzQ8p9K3HQoWQiIiiAxCzT/BnirJPVp8YAyS0aeBwQGhHsna2xKEB8CaCWuWSMZ8SzLxOwb8rQKQrL0FHBkqmTO1CEOTA6zJgNTcpRMRCHRq0Z8x7T0SFVBMeyIUgbd+mCDm16ITMyYL8udLtv4F4lEVmYBFj4E9de8fXsdayZolkq+9pGCwfDFCny4oatg2/ZHvl23EMlgAHDpR8eNwpdgpP7KAga5hzFYjQhEYjAoVRyTTumk9VncO3bs76G1ow+bMp2VnHxmFHoa6h+lqHkSqIBRBdE+9w0gohiPNQn/HMEIInB4bQV+YpDQH3c1DuNMcBLxhklLtePtDDA+EEArkjk7DaDGw4dVaRk3MIindQWfDALFInGg4TuP2Lo44cQxCUeho6AMEzmQbBqPC1IWlACSl2onHE9gcX7zznTvFTiKh4kq2Ew13IIHSaTk43Fo0VXN1N8MDIeLRBK5UG8P9IQCcaXbSst04k61se7eJ8XMKadjaiclsxJ1mp3hCFtvfa2LCMcVkFibRUNWFxS5Iy3MT8kcwW40kYir1mzsYf1Qh4WCMzt2DJKXZCQ2HyS5JoadpEATEQgkGuocpn6k9MJ0eG+PmFBKPJsgsSmaox4+Sl6SZuggonpCFENr9oHN4YLF4Duhx+0tFRQUWi4WWlpaRqIGPY+3atSOLssHBQWpraykvLwe0Dy7V1dX71BD8rJSXl/OPf/yDcDg8Eq24du3aDx130kkn4XA4uO+++3j11Vd59913P3ef77Nq1Souuugivva1rwHawvTTCr1/EJfLRVFREcuXLx8pNv9Bpk6dSldXF0ajcSSSREdHR+crg2U/P1Lv73GfAavVyte//nUef/xx6uvrGTNmDFOnTh3Zvz/v70ajkYULF7Jw4UJ+/vOf4/F4eOuttzjppJOw2WwsX76cSy/98Fo/PT0dgM7OTpKTtS9mKysrP3G8/+3z5n36+/upqanhgQce4OijjwY0k4r/xO12c9ZZZ3HWWWdxxhlnsGjRIgYGBkhJScFms7F48WIWL17MD37wA8aOHcu2bdsoLy8nHo+zbt06Zs+evU9/FRUVgBYFt3z5cm655ZZPHeuuXbvo7+/njjvuID8/H+BDJifvu1t/sP7e/qxRysvLWbp06T7bPmrt8J983LV/8N75LJSXl7Nq1ap9tq1atYqysjIMBsN+zanZbP7Y+oNfBOnp6QwPDxMIBEZE7Y+6n8vKyigrK+Oaa67h7LPP5qGHHuJrX/vaZ7onpkyZQiKRoKenZ+T+/TQmTpxIW1sbtbW1HxmteCDWop8X/RPVHqJDgnevg+pH93zqBPLmCpLLwGiHGT+F5DHQ9p4k5oeIV/L8iZLN90hSxyuc8LBC5Z9g6/2aCBkPSxBgTdFShdWYJHuWpPVtWHtbAqMD5vxSsOlulVC/SsPSBJX37f0jeu+nkta3YPvf91Xg3YWC5BLNQbnyjyqjv6FFISIlkSFInQBl3zTQ9Kpk7S+g5glNtLO4NDE0uVQw7x4Dc+8WxANalObJTxiYcpUgY5qk6l6VFVdr4wh0amnbHe9CzyZoWwmTfgBmu5aaPFADAzUqb1yuUnQCHPdXhRk3CFreBKMVhhqgtxIW/kXgKdYMYiSa87PBCiY3zLgRpl4Lwgx9W6F/q5Y6nTpOExZjQW3/rCXavLb/x2cnR5YWdTn4CRlxMiEJdEn6tkuq//HlNUb5XKgJaHzvwLfr64DWTVisFtj+LMT3L5rlUJCS5cLpsY2IYO6MLHbX7CQ5Kx2j2cLAoJOc0WmUTM4mEowxZUEpFUcWUjYjFwGMm1PE5PklzDx5LKMmZVM8IYv88nSaqrsJ+aNkF6cw5dgSWnf1MnpKLt7BEFKVCAUy8j14+wIEvVoKcCQUJSXTxZQ9hi+KUZCa7cJgNLBrXQuRYJx4LMFgl6a6B30Raje2kZafhM1pGXlv+iJxpdjxpDsxGBV8fUEsNiMOt3Xki5nUHDdpOS4A/IOaoOhOszNhThGJWIKe5iFmLCojEo5htpvoa/fi6wsSCkbIG5OGmlDpbvbiSrbh7Q0S9EfwD4ap2dDGQNcwAPWVHcTCcVKyXXvcqAux2sxEgnFsDgtZxck4k/b99k5NqGx4rZb+Th8IQVttH91NWnqt0WTQBcXDjBRPGVbLJ0eKWi0ppHg+OuXj8+Jyubjuuuu45ppreOSRR2hoaGDz5s388Y9/5JFHHtnn2FtvvZXly5ezfft2LrroItLS0jj99NMB+MlPfsLq1au54oorqKyspK6ujhdeeOEzFcc+55xzEEJw2WWXUV1dzcsvv/whp2fQUnguuugibrjhBkpLSz81zWl/KC0t5dlnn6WyspKqqirOOeeczxx9sGTJEu6++27+8Ic/UFdXNzKPAAsXLmTWrFmcfvrpvP766zQ1NbF69Wp+9rOffeiDlY6Ojs6XDSXFAVbTJx9kNWnHHQTOPfdcli1bxoMPPjhi0PI+n/b+/tJLL/GHP/yByspKmpubefTRR1FVlTFjxmC1WvnJT37Cj3/845GU27Vr1/L3v/8dgNGjR5Ofn8+SJUuoq6tj2bJlH3L8/U8OxPMGNJfk1NRU/vrXv1JfX89bb73Ftddeu88xv/3tb3niiSfYtWsXtbW1/Pvf/yYrKwuPx8PDDz/M3//+d7Zv387u3bt57LHHsNlsFBYWUlpaymmnncZll13GypUrqaqq4rzzziM3N5fTTjsN0AxsNmzYwPe//322bt3Krl27uO++++jr6/vQWAsKCjCbzfzxj39k9+7dLF26lNtuu22fYwoLCxFC8NJLL9Hb24vf79+vNcp3v/td6urquP7666mpqeGf//znPuYoH8UnXfvn5Uc/+hHLly/ntttuo7a2lkceeYQ//elPI2Yr+zOnRUVF+P1+li9fTl9f32cyUDkQzJw5E7vdzo033khDQ8OH5jIUCnHFFVewYsUKmpubWbVqFRs2bBj5gvmz3BNlZWWce+65XHDBBTz77LM0Njayfv16br/9dpYtW/aR45s7dy7HHHMM3/jGN3jjjTdGonBfffVV4MCsRT8v+qeqPeQcBSc8pDDjp4L8eYLQAAy3gT1Nq/fXtxVW3ywZrNEENUuSIH0K2DJgwx0q7gLB2HOh4gLB7hcldU9L3vmRyubfQ6B7Tx3HGzVhMm2iwJkFAzWS1rcla2+VbPkDdK2DhhcTNLyUIKGVL2PS9/YVEfLnK5SeYWDy9xXSpwp2/QPC/dD2LigGwaTvai/p2LMVjv41jLtYQU1IkkrA4tHCeSv/rGLxCExOwbYHVHxNKut+IXnxTImqSmzp0FspKT9XMFgDg/VajUPisPtlTTB05Gpi5vLvSVLLQY2Dp0SQPlFhwZ8F8SA4s8CaBm9+V5I9G5LHCPKO0c5PhMHsgqE6QVKxwphvQqAdFCskjYLONfDyeSoDO2GoXpA8WkExQPgDf5OJqKT+OcnkK8CcpLL+V6om5v4HHWvgrSu1h9Uh0GQOLX118OQ5EPEf2HY3/h2Ia6pvUjYYv/gIus9CZ/VWgkN767VNWriIkmlT6e+GzOwgdreFzoYB0vOSGOr1s3NdC4GhMEO9AfrahmjZ1auFzJuNZI9Koa2mD6PRgNFkoL1euyknzi3Gk+5AxjVBMSndQXZJKhVHFlA0PhM1LjGZtW+orXYTm96oo+qt3fS1azXNQv4I3U2DdDcOUjG7EF9/kPrKdhSDorkUT83FfBC+4d5fhnr8uNMcxCIJGrZ24u0LEIvEycj3kJqbpKVJ7/kD8w+GGewepr97mN42L/2dPuo2deDtDhAOxHCl2hns9NNe10/rrl5AEvSGkaokMBje26kAT6aDsD9GPJ7AnWKnvaGfre/sxpVsY+bJY8krSyMl203+WO3bciklakIFISg/Mp+hHj9djQNYHGZ624a++InT2S+EUKgoPecTj6koPRshDvyy5bbbbuOmm27i9ttvp7y8nEWLFrFs2TKKi4v3Oe6OO+7ghz/8IdOmTaOrq4sXX3xxJLJg4sSJvPPOO9TW1nL00UczZcoUbr75ZnJycvZ7HE6nkxdffJFt27YxZcoUfvazn/HrX//6I4/99re/TTQa5eKLL/78F/4Bfvvb35KcnMzs2bNZvHgxJ5xwwmeOVrjwwgv53e9+x7333su4ceM45ZRTRhwMhRC8/PLLHHPMMVx88cWUlZXxrW99i+bm5v/KRVRHR0fncEAIgak8+xOPMZVn75MpdyA59thjSUlJoaamhnPO2fdZ+mnv7x6Ph2effZZjjz2W8vJy/vKXv/DEE08wbtw4AG666SZ+9KMfcfPNN1NeXs5ZZ501UoPOZDKNiHYTJ07k17/+Nb/4xS8+cawH4nkDWqrqk08+yaZNmxg/fjzXXHMNv/nNb/Y5xuVyceeddzJ9+nRmzJhBU1MTL7/8Moqi4PF4eOCBB5gzZw4TJ07kzTff5MUXXyQ1VavL/dBDDzFt2jROOeUUZs2ahZSSl19+eSR9tqysjNdff52qqiqOOOIIZs2axQsvvIDR+OG1enp6Og8//DD//ve/qaio4I477vjQl4a5ubnccsst/PSnPyUzM3NECPq0NUpBQQHPPPMMzz//PJMmTeIvf/kLv/rVrz5x7j7t2j8PU6dO5amnnuLJJ59k/Pjx3Hzzzdx6660jDtf7M6ezZ8/mu9/9LmeddRbp6enceeedn3s8n4eUlBQee+wxXn75ZSZMmMATTzzBkiVLRvYbDAb6+/u54IILKCsr45vf/CYnnnjiSGTiZ7knQJuPCy64gB/96EeMGTOG008/nQ0bNnxiqvIzzzzDjBkzOPvss6moqODHP/7xSHTngViLfl6E/M/E8S8An89HUlISXq8Xt9v9RXe/X6y9NUGwF/q3a6YqObMFwR4tGjD3aC3iL9QvSakAbwMkjRLYUv/DWGVFgnW3wZizYOLlBnqrVNpXSSouUPC3S976gaTwBEgpB8UAScWCd66VjP46pFYIav4lmXObQsNSiT0DCo9X2PWEStsKycL7DSQikmA32LIkr10oiYdgxo8VcmYLhlslb1+lcuJjCpvulrS9J5Fxrf6iNQVKThc0vgyJiFaXMeqDxlch+0htPDsehAnfA4MRtv5lT3qyBFe+JghWXChofFky80aFrX+VGG2S8d9WRtK4O1arNL0hUWPQtw3sGeDvgKzp4MgWNL8uSR4D3evhhEcErjyFd36coGcT5M2DjlVaZGLBAq0/724oOA52/gMW3CtYfbMkdbyWUt21QRMq08bBkT9XCA9oEYwAkSFJ5X0qEy4V2NP/RzV0KQ+smlr/JtS8ChsehNP+BJO+BcrhPbf1K98mvWQMSdn7vqkmEipb320EVZJZlExP8yBBfxSLzUhBeQZN27uRqkRNSGaePJb+Th8ms5Gd61oASdm0PJLSHBhMBhq3dxEajmBzaQLl7NMqRvppr++jpbqXCUcX4Uy2IaVk1/pW3Kl23KkOXMk2Nrxai9Vuomh8JsHhKL7+ALFonPyx6bg8dg41QV8Y30AIu9tC9epmhBAkEiqT541ieChE07YuHElWfP0hHB4rJouBoe4ATo+NeDxO2B/D4bESGApjMClkj0ohf0w64UCU3Vu7KCzPoKtxgKH+IFabEf8ekTEpzUFqjotIMK4ZvUTjRENxhICZp5TT2zpEf+cwY6blMtQboGVnD/YkKxabiVgkjtFsoHh8FrFonIFOP5mFnkM9lV9qDvbzu6tnE9V1/9zHtMVqSaGi9GyyMqYd8P72hxUrVjB//nwGBwcPm/p/7733HgsWLKC1tVUX5XR0dHQOExJdXmI7O/c1bbGaMJVnY8hKOnQD09HR0TmI/M/WVPw42t6VVD+qcuyfFDb+RsV1omYCkneMoPLPElWF3S9J8udDPAS5RylsuD1B/rFQfOJe4SYRlay7FexZ0PAiTLhM4t0N4y5UMDkEg7skzlzImCpofk3SWwmnvyQ49k8Ce5ZkYKdg3u8EahTsmRKTU2vbmgpmj9aHwSJwFQAIxn4rgTVVsOufKvGQIG+eYMZPFaofVfG1w+ivQ2xYEy9z5woUI3Rvkhxzp0JkSKvTaPZIml7TzFMMZujfBtlHoI0hB+IBzXAla4Yg4tOEzv6dMP16wZY/aiYqM36sjXO4DXo2gtEJmVO1aMr3oxPTJkDRCYKV/yfJP3ZvPcmeTWBL1YTNzpVaRKhvN+QvAMWipUVPuEyrH5k/H3LnQkqZwLsbEJqzNAJevVBl3m8VAp2StElgdgjqnpGkT5QjBjv/Uxzob0VfvQEyKmDJwIFt9yAy+qgP1/gC2PRaHe40O4Ndw3Q1DpBVnEJ3yyCxSAK724ojyYon3UFbbT89rUMMdvmxJ1mwOsyEhiMMdPtJydaElcwCD5Vv7yajKBkpJf0dPlJztH0d9f2k5blxeKzEInFMFuNI/b/3mXbcaIQQtNX1EQ3HcKfa2b21k2goTkF5BknpjhFn60OB3W3F7raiJlTS8zzYXGaioThb323EbDciJagqFIxLJ+iN0N/hI7PQg8lqJByIEfZ7iUXimO1GoqE4HfXafEsJRrOBHaubMJgUoqEE0WAMxQggGOoN4O0LkJaTRMgfobAik7baXlJzXCiKoKO+H2eyDaEIPBlOLHYTZosRYRAYTXvrr5rMRl1Q/BKQlTGNzPQpDAzVEokMYbF4SPGUHZQIxS8jkUiE3t5elixZwplnnqkLijo6OjqHEYasJJRMt+byHImDxYiS4jhoEYo6Ojo6hwO6qPgfZEwFa7LCxt9IjHZw5sLm30mcuQJHFnibtDqEY89W6N4kaV0hmXylwpuXq+QdLVlxrYozF2b93MC0H4GrEOr+DV0bVKr+Aq4CyJwmSCqBub9VsKUKChdA1CcxmAVJozSDlHevV7XUvzKwJkEiJqm6N8HMGxWOvkMQ8e7rFi1Vgb9NS6/u3ykpWKCQPRM23gnhAUgphRk/NtCxWmXlTyVzfilIGSOwpQlsaRAekLS8CTIOg7ug9Buw65/Qt12rgRgPwqTvCooWKex4WKVludaXNVkT+7KOEGROgzcuT5B7NOx+SRt7sAvaV2qu17X/1gxwvPVaSnm4F6ZcpdDwgkQxScZ8C4qO187NnAmhXhiqg8A/NaEz+0jorYLM6RJvoxap+NJZEiE0R2bFpM3HxMuh6j6VoQaYcpVgylUKjS+rHOD6/l8t/iOasXnrFga7Opi4cBG1a1axYekznH3bbzCazXD6X8CecggHe+ComF2A1WGmvb4Ps9mItz+I3WVhwO/HaFSQEoZ6A9hcZvyDIcLBKA6PlXgsQWZxslajAOhuGcS4p0Zf7fo2SiZlY7Hvra1TfmQBakKlv8NH7cZ2nMlWCsZm4Mlw0lHfTzQaw53iICXLRW+rl3gsQdG4TBxJVgxGheo1LYyZkYfTs/+uYgcLxaBQMjmbzsYBFIMgf2wGbTW9CEXgHwwR8kewOS14MpwjImTAG8Zg0sytktLtpI5NIj0/iZ6WIeq3dFBxZD6D3cPEwgmEohk9WR0WQsNRktIcqFJSMiWH0mm5NG7vwmI3MdgTIOALM2XBvsWID4c50vnvEEIhNXnsoR7GYckTTzzBt7/9bSZPnsyjjz56qIejo6Ojo/MfCCEwpH60e6uOjo7OVxE9/fljCA9KFBOYbBAPg8kh8LWo2DP2PCwsgqbXVLb+RVJ+IahhQfMbkoKFAnuGdvzOx1RKThVEvJA9CwZrtNTpiBdeOVdl4veg5FQFxbDvt1exgKTmXyqRIU28VMwSIQT91SAUrQ5j13oYdYogY6ogc5qgZ7NEjcO2v6kYbTDtWoW1t6lMvQbW/xJQ4MifCd66SnLiPwSOrL1RH1Gf5MUzVaZfB9v+rgl+Y86C9MmClrckLW9odQ5taZA7R9C6QpJcCkO7tXTrumdUvE0w7VrB21dKXPlauvKc2+CN70D+fE2zansbpl8PxScZCHQlaHgR8o4RdK2DoXpJ5zot5RmpjdeSAlN+oEVDNi7TojRHnyrY+Zjmtl1xCex4QBMbj7xZwWgTRP0SmdBMZgIdkrRJH05L1/kPal+DV34MP6wiEY/x1oP3s3W5VvDVmZJGOOBn7vmXMPm4kw7xQA8usUic1to+ckpSsNrNDPX42bm2BSHAnmTF6jDj7Q2QlptEdkkKfe0+/IMhyqblsvalXSPtWOxGJs0r2SdKDqB6bQshX5hYLEHB2HRSstxYHWaq3tk9khI8bWEpikEw1BMgJdtFPJagZkMbuaWpdDcOUjo9D0U5fO7npu1dqFLS0zyEYlTIL0+no7Yfh8eKy2PD6jTTtXuAeEwl6AsjJSPOzw63lY2v16IoAqvTwvBAEHeqg7Q8Nz3Ng4QDUewuKylZLlJz3RhNBoYHgnj7g4Cku3mICUcX71NnUqqSja/XUj6zAGeyLi4eDL4Mz28dHR0dHR0dHR0dnS8GXVTcD3q3SoI9kvW/khSfBJ7RgtGna6LcimsSlJ4BKWME/g5Byljwt4OvWYv+K/36R6dsBbpV3r1OMu93yieKXs2vq6RNFCM1At+5TivEWXQCRH0Ce5YW+Wi0aiLnhjskaRO1NOKUCtj5uOalkTYeys/VTGSSx0D+XAVH9t5+1/0ygTUNjFaB0SYZboZxl8BL3wSzE+IRSC4Fg0UTOtMngmISbPtbgl2Pa6YtOXO0+pLOPMifJ7B4JCt/Co4cOOIGwbpfSsZdDEP1WgSiPRNa34b0KTD7FsEbl2n9mlyauGi0QsS7Z4BCM82ZdIVWy3FgJ5z4GER9Cs4c7TqklDx/sspRv1JIn3z4CC+HPdEAdFeztXaAho3raNlRRTwSAaDiqPnkVYxnwoITRg5f8/QTpOUXUjpz9qEa8UGjaUc34WCU0sk5NFR1YrabQFWxu224U+3UbW5n9NRcbA4zkVCMeCyBw23FNxCkZWcPiVgCxSgonZrH7qouckenkpS+1+mvakUDRpMBVUqcSTYsdiNN23vIKPJQMjGbtto+nB4rFruZuk3tjJtTyM41LQSHw6gJyZGLyw/LFJpEXKVqRQNZRSmEg1FSc9w0be8iHIhitBixuywM9vgxWQy4kx1Y7SbMViPxuIpiELTu7MWdbsfXF6SgQqtl6U6xkVmYjGJQSMl2EQnF6Gv1Eo3G6WkeYupxpR9pXDPU48edakc5hKniX2W+bM9vHR0dHR0dHR0dHZ2Dh/6paz9oekUS9UkW3CfIOlIgE3v3zbvHQPs7gl3/hPSJgq71sPIGlfx5YkRQ3PmYSt82yVC9ZNX/aSc7MhVGny4Ybv3kvttXSfzte3+fe5eB3iro3iQo/YbCrsckTa9K1v1KJRGD8gth0vch/1iFhqWa6cnUqzRBrv4Zzdhl94uaMQvA7mUqNU8l6N8B7e9qrs+uPIFQBNEhMDnAVawZtsgEDNRowuILX1ORqmTUKQqjToWiRVpfZjfMulmhb7smek78niayRn2QOk5gSYKOleBt1OpNqnEtRbr+eUmgSxuTYtLqNOYcjRa1KMGSCgjYer+kax2c9JjCUJ1C1/q9mrgQgoX3K6RN/C9e7P9FzA7In0HBuIkEvEPEo1Fyy8cxbt5CCiZNob1mJ0vvuZ1oKAiAKy0dW9JXs9i0xW4i5IvQUtNLPJZguD9Ib/swHQ39dDUNklWcgtWmpTWbzAYsNhORUIzWXb1EgzEC3gjDA2E2v1GPMEDAGwLA2xugdlM7uaWpIARWuwmj2YDZbgQBYX8UIQRSlfgHQ1hsJrKKkzGaDGSXpGAwGcgfm3FYCooABqPCuDlFZBYnM2piNtFQjEgojslqomBsOkPdfgwGA4pQ8PYFsLstdDUPEvCGSUpzkFWcTFKqHSmlVk9REdjdVjoaBvBkOBns9rPt3SbyxqRTPD6L8iMLPtYJ25Ph1AVFHR0dHR0dHR0dHR2dLwC9puJ+MOMnez+gpozRUnXVmByp4Tf5SsH7NeS9uyWZM6Brk0rTK5IZ12nHRAMShCY8vk8iuifd9xMYf7FCIrrvtmPuEiQVaT/P/a1CxCvpXCeJB2D8RQaa31CxJoPFDcFOmPZDA8WLJLtfUenfAcXjIXmMIDos2XS3xDNaSxc2uyFqg+QyQc5sQXRYRY1L+qs0AXC4DYxmzR167t0KQtHqTE67xkB4QLLsWyqLHlW0umnFWnp0ZAiO/ZNC90ZJPCRZeaOmE45eDLYUQdYRmki49V6wZ2vjtSYDEhpfAmuaZvISGQASUHiCFvUY9UPLWypCATUuUYzavLryD0/R5cuAJyubUVOmk4jHMJkt5FdMoGbVOzRWbgKgoHwCkxedwvh5Cw/xSA8eziStXqK3N0A4EEVNSEZPySEciNLX7iU0HKGhsoMJxxTT3+4j4AvjTrGjKAJXio14LEHJ1BwigRgtO3sI+SJkj0rFYjeRlGYnLddDWq6HrsYBupsHCeyKUDY9l752H12NA9iTLAx0DtNQ1UnJxCwA0nKTsLssWOzmQzw7n4zFtreGZHq+h/R8D1JKata3ohgFJrNCyeQcktIctNb24XBbQcD2lU0oBkFyphOpQigQxWg24PBYiIbjREIxkjOdTD52FKB9eZCU5vi4Yejo6Ojo6Ojo6Ojo6Oh8Qeii4ufgnetUjrxJIXOa9rvZtVfIMto1YxJXgSaWtbwN5ecpWrTidsnRd+ytszb27E+Ppml9RxL1ajUN3xfOMiZp53kbJTVPqnSu1wxl6p+H0m9IfE2w658qWUeCIx0aX1Fx5Eg23w0oWqRg48sJ5v9RsPgZhY13qRQsBFTY+gC0vaNisAnq/i0Z/XVoXQ7jLtJqRa5ZIulYKWlYKlEscPSvDKhxlYhXM3xpekWl7jnNadroBBkDW7pK4UJB8hhB51oJcRj9NUhEBDsekUgVhHlP9KTQUqg33S1x5sO8ewS2FIXtDyfoWqtFSg7s1ARKe4ZmmpM+QatlqfP5Cfv9LL37lyTn5DLY0Ya3uwuLw0lj1WYAhKKQk58OakKzEP+K4kiyklWUzECXH5vLQiwSJxFL0NfuJRyIMWZGPomEit1lwVqahppQ2b6qmdzRqXh7AyRnuWir6cOVbCej0ENyphOhCKwOM1bHXlEwHIxq3jgKI+YmA53DTD1uNJ50J627ekEIelqGSEp3YHdbD+GsfH6EEJROyyPoj1C/qR0EdDcNIoQWFdq5ewB3qp3gcBRvX5CkdDuBoTCJhApSYDQbUBMqQghMZv1xpaOjo6Ojo6Ojo6Ojczihf0r7HJzylILB/NEiVtkZCkJRKVggKJgHlmTor9ZqMs75xWdPyRt3oXbO8u8nKFgoKFwoMLu1vg0WsGcKZlwv2PWEFrWnGAVjzgZzEoCk8TVILZcoBsHxD0HLckn985ppzO6lMPp0gadE0FslKViguSw3vwnJZZJgL5AQTLkK1t6q1Wp05EDjqxKDBbo3w7JvJYgFIR6RWJzgLoYxZ4MAujdBoAeaXoH08VB5r8Ti0SIiLcmCLX9QCfdpbSaP0eonehsg6of0adoYm1+XFC5U2fkoZM0El1sTRY+9F9wFCqtuVLGmfo4XUWcfTFYLRZOnYXO78fZ007K9iqB3CKQkr2ICZ/38dnh7CXgMkDv9UA/3oLF7axdBXwSj2UBhRSYg6W0dIhKMkVnkoWrFbqYdX6qZNRkFBqPCqAlZePsDRMIx0vM99LZ6CQeiSFXi6w8SCyfIKPCM9NHbOkR/u4/iSdn0NA0x2OOnZFIOVqd5JKW3eEIWDZUdDA+G6OvwUXFkwaGZkAOAwahgsRrxZDiJhmI0bO2ksCKT/LEZ2F1WopE4Y49IJh5NYLaZ6G4eor/DS2ZhMpmFyYd6+Do6Ojo6Ojo6Ojo6Ojofg1546nPwUYLixrtUWparbH8ogbdRYrRpZi1vX6lidEicOQI1BuFBleHWz+6NM+PHCsOtks2/23uuM0cw/hKFnNkCW7pmkBLqlZidgjHfVPA1ARL6tkPTa5KkIoWK8xRyZwMCLToRqLhAcOT/KQy3CJKKIeaHzKlaqnfHKok9XWBxQ/d68IyGcB/M+YXC1KsE6VO1uojuPE3I7FgD5WcbyJiqMPP/BPY0GH+JIHWcIHOa5iztzIbtD2qu0oDm5Hy+YGC7Vk/RmgyzlyjkHQW1T2lO2vnzoX8b5M/TokHfvFw7N/cYMWLUovP5MRhNHHHaGcRCIZKzc1GMRk677mdc+qe/cdIVP9IOypsJvk8pAvolp7AiA8UkyMhPQqoqPS1DdDcPMWZGHkiYcHQRu9a3EvJrRjZ1m9vxe0P0tg4xPBBETahMLWsnxe5l3Jwi3Cl2uhoH9ukjHIwRiyZoqe4hHIySXZyCfyhEzfq9cxvwhnGn2ikcl4ndZflC5+BgIFWIxxJ40p2UTsult3WIeDROen4SuaNTUQwK5j3p08mZDvLK0g/xiHV0dHR0dHR0dHR0dHQ+DT1S8QCRMVUTw+pfAGeOts0zWqsr2P4uFB4neO1iFSnBmSuZ99vPlkJqsELLG5B7jKR3q9ynNiNAyWKFd69XaXxFEh6UTP2hwvQfKWy9X8Xk0oTQoXqJMKn4O2D8xWB2appy92aJLQXsGZKID8Z+S3NY7tsBxYvAlg5jzxUgYefjkvx5WmTkjodg1Kkw6xZoeA78HZrgWPd0gso/AwIm/QB2/VNSsEDgzBaApGsDSAljz4FdT2gC5sAuSB0Po7+mkHuUdm2OLIGnRGK0CUq/ITAnQcYUwcK/SOIhLbWy+ERdUDyQZI4qJSU3n7Fz5jK0007VvRbsx/2T6Yu/jrX0xEM9vIOOyWJEjan4h8LUbe5AMQjMNhP9HT783jC5Y9LIKkzGbNUEMEeSFaNRIR5TsTosdDcPMiCz8foESf4IEqmZj4RjdDT0k1eWTv6YdCw2Ewazwu6qToaHQuSVpZGa4yIRV4lF42x9ZzfTji+jrbYXw1fAdMRiN1E6NReA9Nwk0nM/3ujHbDWNzK+Ojo6Ojo6Ojo6Ojo7O4YsuKv4XvHNdgqyZmrhVdob2wX/+RK1GoGISGMxw8hMKa25RaV0hEQbInMKHBMH9wZ4Bs5YotCyX1D2jkj5xX1EybSKUnyuwJGuRfACbfivJm6vgKgB7Jrz1AxVnHgy3wOg79woVG++SxIOQXKqJgh1rJMljNIMag2VvpKBMQPHJAsUoaHpNpeR0ScNz0LgMLElgz4H8YwXuQjC5JCaHltIcD0FoQMXfCUmjYdSJEPGDMwuO/DmkTxDEQ1rqdvt7Elce1D8nUcwSV4HmiJtaoeAZLTGYBUarLiQeLHLHVoz8HPVLKr6tsml1K/FoFP5HvDEmztUMQexuMy07e8kdnUZDVQeedAdms5HMIi0lNxyI4usPMmZGHklpdrataia7OJlEwoVDbiPZYiV9/CiklLTV9tHT4iWrKAWjyYDRZKCvzYvRaMCdYmf7e03YnBYSCZVJc0dxxEljMRgVsoqS8fUH2bK8nikLRh/KadHR0dHR0dHR0dHR0dHR2QddVPwvmPBthXhEsutxyejTVTbeBYpBEgvAzJsUdjwk2f2i5Og7BcOtEle+INQr6FovKTx+bzuNL6tYUwXZMz9eLBOKIHM6WFPBu1vb5muRWD1gdgsUg8Dkkgy3SJrfgJLFElcRGB0qr18ChYs0j40JlwriIclwmyS5VLD21gThXsAAo78mmHePwu4XVVLHCxQjvHCaygkPK2x7QCXqg3n3GOipUtnwG0nJYnAVgSNbq5kY7NcEU1e+ILU8gTVZq9EYD2npyjmzIHMaVN6n1VxMRCBtElT+QZIxFTrXaVGenevBVQjb/gpGp6TifLB4BK9/W2X8JYL8+V/+yK0vA2anIG+2mbzZPzvUQzkkhINxpASDSaF0Sg51mzvw9gVJznQCoBgVpCrZtb4FqQJSkpqTpBmyuJOI25Kp3dRGyeQc8sdqEYr+oRC+/uAeN2cTNpeF7uYh8ssz2F3ZiTvNTnN1D4UVGQDY3VYsNhP2pC+nUYuOjo6Ojo6Ojo6Ojo7OVxddVPwvSCkXgCBjMkhVYnZJwgPga4EXFqtMvlJL8/W1QMoYhdcuVEkuk0y4bF9RLDQAJuf+9ZlULEgq1sTHzfeohHph+vWC9EkKZWcoVP0lQfokMFgE3etVutbAUbcLOtZIfM0w3ApCwLvXS057HnLnQWgQhpvB1wgcA6MWK3Rv0q7luAcUXHmC9ImCaABaV0i2/11iTYJABwS6oOwMQWQIBqolgSPAlQ8VF2qipCUFCo+XdKyGUYsEm/8oMZhg8TOC7i2SzGmCDbdLso4UTPqBZsKSOk5gskuSSmDtLZqI6iqUzLlNwZF94F4/HZ1PIm90KgajgrfHT/YozQ2ovb6PpHQHDZUdeDKcWB0mIuE4IX+ESfNHk4gltJNzpqOGYwx0duNIGsBgNDA8EBxxgA4FIpgtRowWIzanGYfbglAErmQbTs++AqLBpEUz6ujo6Ojo6Ojo6Ojo6OgcTuii4gFCKILJPxB0b1TZ9jfJMb9RcBdJav4l6VgtyTsGZtwA/Ttg5Y0qpz6vYLJr4mDtvyRH3vzRUYqBLknNk5IpPxQIse8xc34leOVcSTwMa25JUHySlorsyIRERFJ+nqD6H5LVN0tm3iRwZks8JYIjfw4Nz0v87ZJESOBv1yIFKy5UkAlJ7dMSNSE1J+lpmgCaP19gtMOqn6nkHQO2DIj5BSanxGiHXU9InLmw8x8q4X7oWI0msDaBORmCndDymsTXApkztPHnzDTQvUlyxI1apGX7SsmOR1QW/1th+fdUCo8XnPqswpolKq4CyfhL9AhFnS8Og8lAXmnayO/TTyhj+8pGYpE4drcF/1CISDBO8cQspCqp3dhGcDjCjBPKtBMkFFak01bXj8GkYLGZSM50AZKAN0Lj9u6RtvvavJRMycHpsWJ3aaKifyiEUAQOtx6lqKOjo6Ojo6Ojo6Ojo3P4oYuKB5jM6QqZ07Wf4yEwmCXtK6B5KhQuVEDVUpS3PygZfTq48gTH/03BtsfsdPXNCQqPU8g9eq+A2LddsuufkvJzDSSicsR92mRTOPVZqPxTgvb3IGeOYPIVknAfRLyS3kqYe5eB/h0qVfdJosMw1KDSu1WLTOzboTLrZgOu/ARt70L/Dkn7KpWBnXDEjQr29L1jWPsLlZgPco4W1D8rSUTg6DshfZJCLCDJmgEo0LYctvwZ4kHImAJH3ykI9kh2PKylNB9zl+DVCyWBDoE9U7LmFpX5v1dIKobco7SIy20PJBjuAFsahPpUfC2SqdfogqLOoUVKSTQUR0qJzWnB1xek/MgCaja04e0LEI8lKB6fQSQUo3pNM2F/lNLpuVjsJpJS7aTmutm1rhWT1cjkeSUEh8NYnWa6dg+SkuNCURS2vduEJ8OBEAI1IXEkWXVRUUdHR0dHR0dHR0dHR+ewRFdqDiKKEbJmgDMfbOmSVf+nsvFuSdmZgmC3pO0dlY13qZjdWqRjy5sq6ZMFntK9bTiyBNOuVcg+UiEelrxwqspQg9ynn5RyQfm5kD9XsPMxyDpSIR4WeBs151mTGxAw9mzIniW0+m8CBnfBez9NYLAoNL8KDUtVTHbBvHsM2NMFy7+foPVtFYA5tyoUn6JFQBodMOeXAoNJkFKupU3HQ4KG56D8fEifCOMvgdJvKESGBPnzDCx62MDMGw2YXQqnPmvAXSQw2gQnPqrwzrUqwW7tmswuQdaRAqMVOtZKqv8hifrA9D9iEnK4suwPv2HVU48f6mEcUiw2ExVzCunv8NFR30/5kQUAuFJs5JamMf34Mvo7/Oyu6iSrKAUpobfVSzyWwNsXoL/Dh1AEiZjK1ncbsTktuDx2rE4TA51+mnd0kT82HZPFSDyawD8UJH9sOv0dPhq3dx3iq9fR0dHR0dHR0dHR0dHR2Rc9UvEgopgEEy4z4CpQCfdL+rZpLs5ZRwhyZmsRflX3SuQejbCnEnJmCRxZeyMEO1ZpqclGm7bt/ai+D2JNFrSv1Ppb9KgykiY982cK2/6u4m8BbwM0vgbz71FIrZC8folmvOIuhPb3JGPPFRgsUHKqwo6HVFIqBJO+pzlHA5icguEWQc8WSbAbml6TtL4lKToRpl2tsP0hiTBpY8iYAu4CQe2/VVBAjSukTZCEesGWLuhYJdn2d8mcWxVSx8PUawRGm9auJRk8xYKsGZJgj5YuPuUqzXFa59Bx5De+hdlqO9TDOOS4U+w4kqyk53lGtuWUpI78bDQrRENxskel4HBbqF7TAgokooLeNi8pWW762oaQUtLVFNqT6iwoGpeJJ9OB1WZGKHtqpr5ZR1fjIM5kK86EHq2oo6Ojo6Ojo6Ojo6Ojc3ihi4pfAEUnaAGhObMkvVWSQCd0rFLpr5b074DJV2giwvTrtONifkmgG5KKYePdKkf8VJB1hHZM8pgPi2sZUwUZUwVSSpZ+TWXObQppEwS7/ikZ2KEd8754B1rUX9YRYPFA9yatxmHnWxJXPtgzVdQ9KdpGhwAF6p7WDFWSx0gsydC/UzNPSZ8CnWvh5fNVIkNwzG8EiaAg0CUJdEuGWyFtIpjdsP4OyUC1Ziqz7QGJMEByGSBhwx2SzJnQ8Z7EmgpH/VJhsBaSRkHhcXvnT+fQkZqbf6iHcNhgMCgYDArB4Qj97T7yx6YT8IaxOswUT8gmHk2wZXk9iiJIyXFjNCuaQYuU9LR6Sc/3MNg9jMlixGI3MdA5TMgfIas4GSEE8VgCg1EhEVcxmhWMJgM9LUPE4yrZxSmH+vJ1dHR0dHR0dHR0dHR0dABdVPxCsaYI8ucL+qslw22QPQtSJwjUGEQTKlGvwOSEl85QUROw+GmFpFGgmD8sJIYHJVvvk0y7TozUWBRCYDDD+l+rLLhX0PiKZOL3oPKPMPWHAme2Js4pRsGMnxj2tjUgCXRIOtZAyxsSdxGYXDBUK8k+Evq2Q91zkngQFBOoUTDYIBqAMWfBrscheQwkFQrMLkHvNsmKH0qSx8CUq8BogaFaOPJmyJohSK1Q6K+WvHqRyty7FOb/QcGZo9I2C6LDYE6C4/5qQI1JFJMeoahzeKImVGLROAA1G9oorMggNceNxWYia1QKFpsRV4qD+s3tFIzJYPPyOuJRlYpZhXgynEQCUXwDQXLLUujaPUR30yBTFoxm59oW8srSSc1x4x8MUbe5g3FzCrHtcY7W0dHR0dHR0dHR0dHR0Tkc0EXFQ0BqhSC1Yq9YtuzsBOmTBUN1Kr5mmPQ9yJimiZBz7zLsc66/S8WWIlAMmvD3QUPoni2SsrPAYBIYrQJbusSZI5h9qyDYtbcOo0xI3rpSZfp1CkmjBNYUQfGJgrYVElsGuAqg7JtapKPRDhGvNp5EGPLnQ9MrMO4yiPZDzb9g4f2C1Tdr6ctmFwjAmgrxMLx0Jky+UsWRDYY9GZy2NEHeMYKIV6X2aRUZF0z7kYHtf0sQD4Ni0ITN1TernL503+vX0TlccHpsOD1aSvjkY0tQFC1auLfNS2ZhMsqeNOaMQg/1lR140p0MdvupXN5Aao6LgDeEfyhC6bRcVHUAu8dKLBqnZHIOVqcZs82I0WQgZ3SqFh1p0v8WdHR0dHR0dHR0dHR0dA4f9LzSw4B59yhM/K7E1wxzfiEo/bqBpMIPCwihfskrZ0tW/kzF7BZMuVLZJ5Kv5l8qFrdguBVCvXDsHw1Y3IKq+1QG6/eKisIgKD5ZYHRKnj8twYprEpiTQCiaa/MRPxF0r4eYH1reAlcR+Bq0CMX+aggPQMNz0PQqHPeAQt0zksFazZhGjUk8owV5RwusyVqK9abfgK8J3r1u77WocUnlnyTpk2HUYkhEJZ5SMDthy+8liagWxajz5SIRjxGLRBjo6iDkH+bNv9/Lg1d/lyd//hMe+fFVbHp5KVLKT2/oS8b7AmIirtJe20c0HCMRVwkHogQGwySlOwgORxg7Kx+JykCXD/9QBICBbh9CCBJxlf6OYarXNFO1YjdJaQ5MFgOdDQNseavhUF6ejo6Ojo6Ojo6Ojo6Ojs6HEPIQfML3+XwkJSXh9Xpxu91fdPeHLfGwxGj95HRfb6OKySmwp3/0cd5GyfrbVSZ+RzBUD4XHCWqekpScCo5MgTDse17nWpWO1ZIJlyk0varSsFSLfjQ6tTTkyAAEeiBjAoz5lmDjXZLhZlhwn0AYJe9eB9lHQtZMQfaR8PpFEkeO5jId6JL0b4PCE8CZDd1V4NsNU69WcOYIOtep9G2TdG+A3Lmw/UEtXVqNQOFxChaPnvp8oNi+4k3URJyJCxYdsDaD3iFs7qQRYyApJfdddi6h4WGEgPxxEzGaLXTtriM4NAiAYjCgJhJY7E6ySss448ZbD9h4Djfa6/sZ6PQRiySw2E04k6wYTAa6GgeIhuMgNEfpSDBGSraL4YEgzhQb/v4gnkwXpVNzaa/vp7/dC0Iw8ZjiT+9UR+cgoz+/dXR0dHR0dHR0dHTeR09/Poz4T0Gx8RWVxlckx/5hb9RiUvEnR+9JFTImC0xOgbdRYk0RTPqu4MVvJJh2rSBnzr7Hp43XUpdLvwFlZxrIPVrS9q7ElSdpfw+614LZAzKhma2MPh061oFikbx1JcSHIXUiNLwgifmh8EQomC9Yf7skHoLhVkhth+pHYfatYHULzC5oe0fSUykxWGHidwXdWyT2dEifID71GnX2j+fuvI32XTuYd+Gl9LY0kZydTcjnw3aAhIBHf3IVC7/9fUbPOBKAwY52QsM+hKLgycrhlKt/gs3lprO+llf/fA8TFy6i8vVlhPx+YpEQrdur6G1tJj2/8ICM53AjZ1QKnnQHTTu68KTb6WoaIhqO40qxUzguAwC7y4pQBN4eP2arkeGBEAaTkd42L8mZLnJGpZA7OvVTetLR0dHR0dHR0dHR0dHR+eLRIxUPYxqWqrSukMz77WerpRbsldjSGIkgA6h/LkHOUQJ7+ocFu3hIYrQJElE5YvrSvUnru/ElrXZjbBjGXw7VD0HWDBhuh6gXJlwOg7Uw3AyD9TDr54LMaQrLv58gMgxJRRDq0wxYZAJOfkK7ljcuT2C0QNHJsP1vYM+CaVcreEbr0YkHir//8HIC3iFioSBGs4V4NILJYuWqR58+IO0P9/fhTE5BKHvvqXDQT8jnIzkr52PP2/zqi6x45AEKxk9i4aU/wJOZdUDGczgSCcWo29yOI8mKYlDw9QWwuSwIIXCn2EnJdhGLxBkeCtK6s5fJ80sIB6JUvbMbxaAw4ehihIDG7d2UH5GPUPS/D51Di/781tHR0dHR0dHR0dF5Hz1S8TCm5FSFklP3/t6xWtL0msrsWz5eZJRS8tqFKtOuE3StlUz/iUAxCNreAVWFsm98+JxEFDbepTJYKyk/X1B0vIKvCRqXAQJSK8BgAYFgwX1gS4Htj0hGny5IKlIoPlFrZ7BW8vZVKqVnJIj6tdTp0VcLVv2fxOQAxwe0oyNuELx7vaRrHdgzIWWs0AXFA0g8FiPsHyYWCoIQWJ1OcsuPZPaZ5x6wPlypaR/aZrU7sdqdn3he+VHzsNjsjJu74ICN5XDFYjMxfk7Rh7ZLKdn0Rj0Bb4i+jmHi0TjuVDsD3X5CwxFSc9yUTcsj4A1jtBhwp9g1ByQdHR0dHR0dHR0dHR0dncMEXVT8EmFNlcSDEPUlMLs/WlgUQnDiY1rk2MBOlTVLJOmTBBlTYHCnZojy2sUqc36hkFQsaHo9wZY/QMFxYE2D3S9JAp0J+rZC6de1dOrU8YKCYxVW3pig/R3InAHDLdD4imSoPoEzRzDlSoGrQHNtTioWZE4Hz2iB2SmYfn2C7X+Dkq8Jqh9RAYj4JO5CyJwGnesg+whdMTmQ+Pv7MNvteDKz6GqoIyU3n9TcfIb7ekjJ1qIIA0ODxMJhPFnZn6uPWDjE9mXPM+7EUzHbHft9ns3p+p8QFD8JIQQlk7JxpdhweGy01/Vhshjx9QaIhGMMdvnJyPeza30r4+YUkVf2YQFXR0dHR0dHR0dHR0dHR+dQohev+xJhTxcg4IXTYLhF3Wffez9N0LlWy2SPh9BqKX5PwTNKMFQvSSpRmPl/CgazYOJ3FJy52nlS1QKgDCbtf6FA5gztXHeRQCha2jJA10awpsLOxyHqg3CfFo3YvlKy4mqVhqWS4hMF2bMEGZMV1t6qsuLqBIEuQEDWdEHyGK19i0eQiIIaF8SGIUsXFQ8onqxszr7lTiYedxIGown/4ACrn3qMdx57kNp1q4hFwlS+9hLvPfHIp7YVj8V482/3EvR599luNFvImTAJo9V6sC7jK01yphOjyUB6XhJF4zNJyXaRVZyM3WUBoHptC9mjUnAl2w7xSHV0dHR0dHR0dHR0dHR0PoweqfglwpoiOOp2hebXJc78fUW4UScreEo09+c3LlM57XkFk1Mw7uJ9j+tYJVHjEoNZ05OLFxmweiRt72ki5fzf7Y2A7K2SpE9WyD1K4G1SkTEo+xbkLxQkQpKqv8Do0zSTlcEaKFqkpWyDJjSmjNWER6MFUisEOx6UJKJQfDL4GiWDdTDtWkHJaYeHoPjH5XV8c0Y+me4vt0jW397KpmXPs235a8z82jc5+xe/Yed7KzCaTPQ2N7LqX/+gt2k3s795HlKqH9nGWw/fT3bpWMrnzAUpScRjHzpGKAqZZRUH+Wq++sQicWo3thOPJnAmW1Hjkolzi4mE4pit+lu0jo6Ojo6Ojo6Ojo6OzuGJHqn4JaP2KUnWdLGPCQtA7tECaxq4i2DGDQLjfwQ3hXol7e9JYgFJqE8yWCd58YwEalzbbk+DKVdpUY2BLi3isfQbCu5C2Pw7FUemYPQ3IGWMIBGCxpchFgBbpmTyFYKsGTBUt3dMQ3USqQqECZpfh4ypMPkKwdRrBH3bVTylgq+9pKVg/+e1HAr6/BHufqOWeXcuP9RD+a+QqsrjN1xNc9UWJiw8kbadO/jXkhuIhUNMWXQKnsxsYuEwfa3NvPm3P6MoH51Gn1c+ntTcfACMZjMnfPeH2N1JI/sT8TjxaPQLuaavOopBISnVjsGk4B8KExyOoCZUUrNdepSijo6Ojo6Ojo6Ojo6OzmGLHgbzJWNgpyR7psCWDp1rJGkTweTQRLm1t6g4cgRNr0jSxgl8TZqIuOufkvwFgr6tkhk/UXjx65LJP1TJmQ3rb1cZe47CriclnWsl3kYQiqT4RIX0SVr6s2ICo00w5QoDDS+oVP5ZMvMmQdPLksiAIHWswlG/2nec4y5W6NsmaXpdYnJB7b+llmqtQNs7MO1qgWI89GLi+6Q5LQggFD/UI/nvEIrC5fc+gtXp5LEbr8Fid3DCd66icPJUWrZWMtjZAUgiwSAGo5HjLrviI9spmzln5Odtb79OclYOeeXjR7a1bFpLNBBgzLEnHOxL+spjMCqMOUITcNvr+2ne0U00/CW/EXV0dHR0dHR0dHR0dHS+8uiRil8yKi5Q2HCnSstbCbb8SWXL77X01Y7VEnMSlH5DcMq/FZrfkIQHJBEvTLhUYfSpgqPvMGBNFkz/sSBjKrS9C8PtYLRJXHmCgZ0w80YFk12w9laVni0JGpZKJv9g723i79SMWgxmUOPgLoRV/5dATUh2/VNl2wOJkWOTy6DsDIXJ3xcUL4KIVxNAF95nIHnM4SMovo9xz2W+ubPz0A7kv2DHO8vx9fUAMHr6kXTW7eK1+3/P2meepHjqdKaceAo2TwpqIsF5d/z+U9uLx2IM9/YS8g/vsz1/yhGMmj33oFzD/zKp2S4Kx2WSlpv06Qfr6Ojo6Ojo6Ojo6Ojo6BxCdFHxS4Y9A9ImCBpeAEsyJPZoePXPq3Su0VyV192h0r1JYkuD0q8reEqhfZWkv1pLay4+UcHiVKi4ABQDbL1fYk+ThPo1d+jhNolihnevB8UkWfuLBAM7tXOjXkn3Jlh1k2S4FRy5kpyj4JnjVaoflySimli47e8JNt2j8tpFKq9fKgn2QrAb8o45/MREgJtf2M7EfA+KgByP/VAP53PT09hA+65q1ESC8fOPIx6Nkogn2LXqXYxGEwNtrYSGBohHI/S3tfDm3+9juL/vY9t79vafM9TTSemMWftsN5rNmHSDlgOO1WEmd3TqoR6Gjo6Ojo6Ojo6Ojo6Ojs6noqc/f8kwuwWTfyCofizBjodgoBreGUoQDWiRgD2bJO0roOJCLeU4Y4qkp1Jq6ccJyQkPGUhEJW9freJvAwzgDsFwq3b+a5eoKAbImA55cyAeEtT8S5J9pCSlXJBSLvC1SHKPgtp/w1AtFJ9kQCZUzC5JaoWg4UWV3S9A0mgw2mDcJVB2xkfX7jtcmJzv4ZyZBYzNch/qofxXzL/ocv586Tl4srPx9/dzwW/+zFBnG4rBxDv/+Ds9TbsBUAwGXrznDtILij7WrEVVE4QDfmadcfYXeQk6Ojo6Ojo6Ojo6Ojo6OjpfAnRR8UtIz2ZJ7ZNw3F+htxK6N4HDAc4sLTIx1KfSsRqmXqWw4dcqXRtg3j2CpFFaYOqm36r4W8FoB2EEWyrYMmCwFtz5EI9A00tgTwN/u6RoEeTtyXQdrIWc2YKxZyuE+hPY0rQ2R52s8N5PE0R8Kpt/BwYrOHJgypUKiQjIhEQYDs8oRYCvT8071EM4YJzyw+vZufJd2nZu4+izL6R4ynTMVhur//0Y2WVjadlWSTwaRVXDHHPuRbjTMj6yHUUxcMGv//AFj15HR0dHR0dHR0dHR0dHR+fLgJ7+/CUkfRLM+Klg/e2a6cmEywTOPEifLHj+FJXW5eDKB0uKxJEN0WF476dy5PyCYwXjvw2LHhEUnwTDbVB0nCAyAFOvFRQtgvQpUP0weEZD11oI9WiC4PTrFMrPVQh0Sfq3gzlJazfilRz5fwolpxhw5YFihJbXwJ4uWXGNylD9oZip/z02LXueF397B7VrV+JKSWPlk4+y/oWneeCKbzPQ0YbRYsFotiAUheknn05yzldHTNXR0dHR0dHR0dHR0dHR0fni0CMVv4QIg6DpNZW8eZAICYxWgSsX/J0SewYUnQjNy6HpFcmoUxWsqSo1/4LO9Qlc+YLkMWB2K9jSBJO+A55ileY3JJFh6KuCjXfC+Esg6gM1AfYc6NogqfmRyvw/KphsAJK08eDMk7xzfQKDGWQcXMXgb4eMaVCyWMHkFJy+VKKYDt8oxa8CoWEf0XAIq8PJ9FO/ztg5c7G5XNz/3YtorNxMUmYmvr4emio3Ew0GOO47VzHx2OMP9bB1dHR0dHR0dHR0dHR0dHS+pOii4peUObcZiPo0d2dHtiB9MlT/Q5I6HkpOVah/XiW5VGBPF5g9EOyC6kdhcJfEUwrDzZLTX1IQiiBplGC4DRRFYnYLFj0K3t2Cid+TbPqNxGjTHKJn/kxLp/aMgmgAhlvg9YvBPQpGnQKVfwRhgJk3CfKOEiPpzrqgePBZ/8LT7FjxJorRiMOTjCMpmQnHHo/D48FoNBEYGgIpcaWmUXH6GRRNnPypbUop8Q/240pJO+jj19HR0dHR0dHR0dHR0dHR+XKhi4pfQuIhycobVVLHCQZ2ShIxqDhfcPKTe81QTn7CwPYHVXq2JujdrJmmHPULQftKSfIYaF0BQhFUP5qgcw0cc5cgFtDO7d8hqHlSBQOoMTj+CQUhNGFwYCfYUiARBWsKhPvBMwrWLIGZ/yeouleSP1fPqj+Q+Pt6GGpvJWf8ZBTDRxveHPWtCxh9xGw2vPA0ydk5TNgThTjnm+ez7A934kxJxWAy40xJZcPSZ6l87WWySko59Uc3fmy/z95xC607qrj6secOynXp6Ojo6Ojo6Ojo6Ojo6Oh8edFFxS8hBjNkHykYtViLAnzrCom3EbJmaPuX/yCBK09gSZH0bAT//7d330F2XveZ578359C3c87oRkYDBAEQIMEAUqRAUSQl0UyyZNkzZU/Vumbsma0dj9fr8ap2ataz5fKMvZ4dm6JkWcFUIsUokgJBEAQBIgON0Dmn29039s3h3T9ahIpDSmNoRIIgn08VCn3f+973nPc9Tdyqh+ec3zzs/XMzjqCJjnth8tUy0wcNQmsMli5C5QYTVpeJvv/l52Fg4x4LS/1lzv6Nwcn/p0w2Apv/hZk7/9aMpw4yS3Do35TZ91/NLJw0WPubBjNvGNz+15qV+OuSji5jdThJRSMsjY+yNDpM/fpN1K5Zy9Chn1Lbsx5/bR0AFquVYE0tVc2t7H7osSvXCNTUEmpowu52sxJZJjw2isvnJzo3g9Pr/aXtl4oF6rrWfKD3+KtILoaxOuy4/MFr3RURERERERGRTyyFitchk8VEz2/8PLy74Q8NipnVn6MDBtFBKOUM+u4xMf6CgbsaLv59meULsPaLEGiHG/61iRP/qcynvmZm8ZxBuQD5FYOhH5Sxe00EulYrTDffBkv9MHcU1nzBwOo08eYflbn1L2HtYyZs3tWAc+xPDGKjYDYrVPx1KGQzDL7+KsHGVkr5HOVigerONQQamhg69FMy8RhHv/sNwvNz1Hd2s/Xuz2C224nOzVAulcglE1x+7Sdkszm2fOpeWjZsJhWLcP7Ay+Qzab74H/8Sm8P5C9svFYs88G/+d2zOX3xOMZ/HarcDkM+kiU6NU7tm3a/9Wfz35i+dxxWooGnz1g+8LRERERERERF5fwoVPwbCZwwiFw3m3zaRmDRovwfSYTjzNwbVfaszG1v2Qe/DZk79ZZliGnb9mQmry2D5ksEb/6vBzf8JvHUmEhOry6snXgVXFaTmwOqEhl1Q02emkDZovt3EC48a3P+cifBJcFavLsG+6+9MOIIKFf9n5VaSXD7wE9LxOOnIKQzDwB2qwuZ0UcxmSC7OU7d2E+6aWhxDgzR2drE8NkLXzbex/tY7ePIP/wWNnV24XS6SiQSjLzzD7V/5PSb7z5JcXuKWx36LsTOnOPfqi3z+3/2f72q7XC4xceIYA8eOkF5J8uC//ffvfr9UYrb/LO6KCobfeI0bH/vKlT4vDg9Su2YdsZkpbC4Xnl/jXowLg5dILMzRffPtdN9yx6/tuiIiIiIiIiLyqzEZhmF82I0mEgkCgQDxeBy/3/9hN/+xFLlsEB0wOP1fDCxOsDhW90N0VUMhAZt+10R00KCwAlWbVoPCctFE820mkjMG/mYz5cLPqzQ/fW+J+t2QmoXb/8u79/EzSgaJSQi0m3j5t0ts+l0zddsVJv465DNpjn/7STbd93nGjh0huTCLyWwBExilEhXNrQTqG4lMjLHx3geJz8+SW0kycfwttj/yZVYiy4yfO43P72f6zAniiSSuihC3femfcf7AywwdO4K/uppsKs26m2+lY+t2vv3v/pD1t+5j8533UMhl6X/+R7hCVTRu6sMXqqKQzZKYn6GyrZP5gYuMHH6Nvs8/TrlUwOZw4vC8exn1yJHXySYSVLS0ER64QP36TZjMFmq6eigV8mQTCVzBinftD2mUy0ydPYmvqgYDg1Bz27uumY5Fya0kqWhq+TCGQUR+AX1/i4iIiIjIOzRT8WMi1Gti8axB7Q2wdB4q10PNFjj/t9B5P7jrIDIAi2dX33fXwi1/biY1b2AymYgOGbz2+2U++4wZi93EHf/VTHbZIDb83rZMFhOB9tWf73ri/QuHyK/G7nKz/ZEvUy6VyKdXADCMMjaHk1BbJ6nFMJVtXcxPTTE3PMjIaz8h2NxKyeHEMAy8oUo23LoPo1zG5nZjxoSvroEn/9XvkllZoa6ji5seehyA5NIiR3/4j+SzabIrSQBsDid9Dz5ypT/R6UmSi2GWRgfAZCKbSGB1uli43M/S6BCFXJa63g2079jN8vgI7opKAvWNLA4PkpifoX79JrLJFeYunMXqcDB38TyppTCFXI71n/oMwcbmn92jwcpiGIwyxVz+PaGiO1iBO1jxIYyAiIiIiIiIiPxTqEzvx4irGsKnV/+efRMmfwqNt0B2CQpJ2PTPzNg84GsDux/e+rMSb/1pmTN/VSbYAbf+xWqgCJCeX102XbfDxPm/K3Px78vvae/Qvykx/fqHPtH1Y89qd7A0OozT68ddEaJj1y0YVhvLE2PYPR5WIstMnj/N63//d/QfP0Zt73qmL12gXCoBkI7HGDx6mGf/83+irnc9Lp+fTXfeQ9f2nez8/COMnDiG2WJh+lI/C6PD9N19HzseeAiAyVNvszwxCkAmmeDygZ8QHrqE3eXBYrPj9PnAZGJh4CLNfdsxymXmLp0nNjvFxImjTJx4i8jUBO27bmbD/geITIzhCvixuZwMHHiZQF0DjZu34fB4KeRzxOdmuPjK8xhGmXV37SebSDB/uf+aPXsRERERERER+afRTMWPkZbbzVRvMph5q8zYs6sFWep3mTjyxwbpRYP6nWbqd0FiHJYvgrMKQuuhmDJhspgI9f78WnPHDCZeNsgnDHb9e7C6TRhlgzN/ZdD7qAlXlYk1D5kJdFyz2/3YSkWXmTl/ir7PPYbd5QJg6I0DmM1mvGs3MnDgJax2B5/6vX9FcjlMdVvnlb0RU7Eo/9/vfom7fvt3efz/+gsAzBYLy1MTDB8/yp2/8y84+PX/Rl1nN9v238+2/fdfaTc2O43d7aFUyFMuFoktzLEwM82Oz36BRHgOV7CCdCxK566bKWTSuAIVWGx2jHKZhcGLhFraV4NNwyAxN0N8dhqby00+k8ZkslDTuYZ0Ik58ZopCJs3s+dMEGppJR5Y59s2/Y+vnHqXzpr3Ur9/0oT9zEREREREREbk62lPxYyg1b3DhawYVvQbxcUgvQDYC3jqYOwFGCYwCOAJw4x+ZqLvx5xNWZ98yWL5gEFwDR/8PAyzQdR9MHVytBL14Bvb8BzPuGu2h+EFJx6OMvnWIdGSZjfd+DqfPz+DBV1meGKGisYXY3DRWr5+TLz7LV/7z31LM5Zg5f5pgQxNV7V3MjwxR09aBxWZjfmSIifNn2Hj7XeQzGYK1dQDMjwxx9Iff5b4/+COKuRyZRIz+F56mYct2wpf7abthJ5VtnZz6/j9gsljJryTxVteSWl4k1NpBy9btTJw4hslsIh2LkonFsDocWKxWeu+4h/j8DPl0Gm9VNUapxOjRw9hcq4VmwEQxl6WiqZV8JoXV4aS6s4fkwhzVXT0E6huu7QCIyC+k728REREREXmHlj9/DHnqTNz4R2Za95mZfAUWjkO5DJFBsLmAMvjb4M6vmXj7Pxg8fW+JQrpMuWDgCIDdbzDxEwOsq8ukx1+G+l0w/Trkk5Ba0JLnD0o2meD097/NytISNd1rOfOj75KYn6V9526q2ruITI7hqggRqqunqbOL0z/8Lqd/8B2S4QUmTh7j0qsv4g4EWJ6eAKBUKFDIZjnwtf9KKrIEQC61gsVioam7h4P/7T/zyl/9OUPH3mRpfo5Xn/h/iYYXGH7jALGZSawOJxgGgfpGeu+4G4vDyfLYMEOvv0oyPI9RNijmcj/bCzGLyx8kGZ4n1NLO/OV+FgYuEmxqoVwuUUin8VbVUsznaNq8DWewAkxmvDU1+Kqr8VRWYnO5OP/cD4n+rP8iIiIiIiIi8tGkUPFjzO43cd8PV4c42AoNN0EuDlY3OCrhhYcNOj4D7ffC8f9o8NwXypQLcOFJyC4DZchHoZiC3segkIJMBFamru19fZw5fX56br0Lm9NJbiXJ5vu+QKC+EbvLTceumwETmWiUdDRCNp3GWVlF3+cexl9XT2VbB5GpcU489Q8c+Nu/Yu7iOSjk2HT7XVTW1RP+2V6FI28eZPyt17EYZdp37KFx3UYq6+q579/+GRt37sbn82G2Whk4+AqZWBSH34+7opJUJEIxkwbAwETjpj6q2rvo3L2Xmp519D34CIGGRsrlMnMXzoIB6cgyY0cP43B7KBULlIp5MAwq2zpYCc+TWgpTzORwV1RSv24T7mAFjZv6SEejTJ56+xqOhIiIiIiIiIj8MtpT8WPO6jJx/3NmygU49RerxVZsHqjZaGLb75vwtawuY06Ml4mPQtVGuPNvzfiaTAw9XWL6ILTvB1+DhU89uTpD0VOnpc8fJJvHQ7lYJJtMUMznrxyPzUxhsdsp5XMkFuZoWbeB5vWbGX7jNWwuN3a3BxPgdLno6ruB0bfewOZyU3j7CBavH4fHx5lnnmLj/geJTIzir60nFV2mmEqwsrSIUSrhqaymecs2Bg++gjdUSWJmitTiImtvu5tsMn6lL6mlMOlYBKNYpKKlDYvNTnx2GrvHS3h4kEImTWVbB+lohFKpQNPmbZgtVoYOvUpt73r6X3iarV94nER4DrvT/a77D7W0k1iYI59JUy6VMFtUYVxERERERETko0ah4ieAzW2ikDZw15p48AUTFsd7Q0F/mxl/2+rPvqbVv7vvt9B9/8/PUZj4wVscGSQyOc72h78EQCGboZDJgMmEt6qGNXv3UcznGHr9Vbpu2osrEMRbXcPcpX4K6RS1veuxOZxEpifAZMIZrFgN5/I5rHY77lCI5fER4nMzVHeuYerMCRLzc1Q0t5JcWiC5MEdifhZ/bT1Wh4NyTR3BxmYuvvI8VrvjSj8tdicGZQyzmWwihs3lYX7wAharHVcgSKC+gckTx7DYrPjrGnBVhDj/7A9wBYI0bujD6fUTm5mipqsHAMMwKBeL5FMrXDrwEg63F6fPT2R8lDW33glAYmEe/8/2hBQRERERERGRa0uh4ieEzW1i8+8pFPyo81XXYrGvVlQeO/YmxXyWQjZLcmGOLQ88zPTZU0CZvgcf4cJLz5BPp8FkAsMgk4hhYFAslTBZbQRb2hg7eQyvP8imO/cTammjXCpx4aVnSCzME5+bIZdKYbaYadm2g+jUBA6fj6XRYfKZDIHGRlaWwqyE59/dSbMZKOP0+slEI9Sv30Imukx0ZopCOk4+tUI6uozD48EA5i6eY+7CWYJNLQQbmnAFAswPXCCXTBCdmqRUyGFzuojPz1LZ2kEmGiETi7J23368VVXA6j6Q/S8+zbYvPI7D4/2wh0VERERERERE/jsKFUU+Qpz+AE5/gHK5RKmQp7nvRuxuD4V0CoB8egVvVS3lUoma7rXEZmdYWVzAbHfg8PoJNbdz7JmnsFrtdO2+hW2ffYjJk8coFvJMXThHOjxPcjFMzZq1LA4NUC6vLi++/OpLPyvgYr1S0CWfSuGtqiYViVDZ0kZkapxyoYDLH8QdrACzmXR0mbmL5+i+5Q4sNhvpWByrw065VKSYz7PhU5/h3PM/wigWCTY0kwzPsTw+QjGbBWBleZF8OkW5kMdstbI4PMD2R3+LdDRCsGF1ymwxn2dxZBBPZbUCRREREREREZGPCBVqEfkIMpstdN9yBy5/AIvVimEYXD7wEtWd3RRzGZYnRmnasg2jVKRx01bcwSCp5UXMNhsdG7ZQ09hIRXUNqcUFem67i5lLF3juL/9vXIEgFquVypZ2tj/8JRrXb8ZsNpFPp8inkuTSKSpa2gBYCc+zEl7AhIHFbscdDGH3eikVcsTnZ0gtLxFqaceEiXPPfI9UNEpkcpSlkSEysTjFbJb+F59hzS13cMPDv0l0egKrw8XIm6/j8Pmo7d1AsL4Bs9WCw+unYWMf6+65j9jMFHMXzl15FqNHXie1vETP3n0UczlVhhYRERERERH5CFCoKHIdsLvd1PWsp2XbTmq6e3H6fGQTcbKpJOGhS1S3d9O+82aqO9eQTcQINDRhlMuEhwfIxKJUNTbzG3/8VXKpFYKNLWSTcabOniRQ34ArUEHT5j62P/pb2N1ukuGFK+06/UGaNm+jkMlQLhUppDMUsllKhSJVbR3k0ykqmlsBSIbnsTmcYDGTiUcINDTiDoYAWFlapHP3rSwMXKBULFDM5qhoamZlKUwxk6GQyxAevMTlV17A5nBSv37TlT5Ud/WwPD6C1elk4sRbXPzJc+RSKx/uAIiIiIiIiIjIu5gMwzA+7EYTiQSBQIB4PI7f7/+wmxe5LoSHLuOuqMRTWUVsZoqKphby6RSLI0M0btzC9LlTxBfmiU2OYXU6KeXzeKtqsNjs2FwuPKFKUpFl1uzdR7lU4tyz38fm8mBzOnFXhJg4/hYOr4+e2z/FwE9fYttDX8QwDJKLC8ycP43LH6R+/SasNjsnnvompUIBi81GoKGRlfAChlHGU1mN2WIll0riqqgkOjFGoL6BxMJqwLj2rv1MnTlOZHwMh8+Hv66BZHiemq5ego1NFHM50rEI5WKRsaOHAahfv5mOnXvIpVYwSmXMVivRqQlsbhfDh19jy30PYfd4SC4uYDKb8VZWX+OREvnk0Pe3iIiIiIi8Q3sqilxDxVyOTCJOMZsBs5nJk8fIp1bouvl2UpElYnPTVLZ2MHTop3TfcgeZeJyJ40fIZ1IU0mkKK0lCbZ0k5mbwVNbgq6nFKBuEWttweHxUtnUCMHPuFOlYjLEjb7Djvs+Tiizhr28gGV5g9Mgh1t51LyazGRPgCVWSjiwTm55i9sI5rA47YLB2390sjgzResMu7G43mViU/pd+jFEq4q9twOn14QoECTa2EJkcp5jNcOr738Jic1AqFklHlgk2tpGNxbC53Jz78Q8oFfIA1Pasw+7xUshmKGYzGOUyp77/bcDAV1NHMjxPVccaTGYLxWIeOx4mT75NJh6jc/deHB4vNpcbm9N5zcZSRERERERE5JNEMxVFrpFCJsPY8SMsj41QLhYACLa04XR7sLs9NPdtZ+LkMYINTQTqGzn9w+8QqG8kMjWB1enE7nTjDlZgdTpZGLhINplg4/4HGT3yOrmVJK5gxc+WCZsINDSSWlokPD1FMBSic/deps+ewmKzk00lKaRW6HvwUSZPH6Omu5fB116hfv1mMvEopWKBms41FLJZJk8cpWXbjVS2dZKJxyjm8zh8fhYu9ZNNxikVCtT2rmfyxFEaN/SRWJynmMthsduJTU/i8PnJRJdp23kz4cFLpGMRKJfBZMJstVLb3UsmESeXWiETjYDFwsZ7P4fFbGb63CmS4XmK2Qzr77kfh9fL6OHXWJ4cx1dTj9liZsOn77+mYyrycafvbxEREREReYdmKopcIwOv/QTDgHKxgMXuwGQyUd2xhprO7ivntG7bAcDCwEVatt5IIZclubRIOrJE1dZupk4exe7x4vD6MAyDCy89g6siBGYzBgb5XJZCKoVRLgEG7X1boWzgrqikkM1Q3bUGk8mM1elk8tQxbC4XU2dOAgbuihB1ves4+/RTDEyM0XHTLdi9XmKz0xRyOWIzU7Rt38XCpfMkFubwVteRWJgjGV7A7vYwd/k8Ln+AxMIsFquNcrFAMZfB6nQyfvSN1Rs0m3FVVGFzOAg1t5BcCmOUSuTTKTCbcQeCjB87jNVmIzo9ydbPP8bchXN4KkKYrVbKkVHW37gOR/NWTv3g28xeOEv9uk2YTKYry7VFRERERERE5NdPoaLINdJ7x92YLFYS87MEG5sxmUxX3hs58jo1XT34auoASEWWsDpdZJNxXIEg+dQK85cvUDYMSoUCyYV52m7cTWx+mpXFMMVsBmdDE2azhXhxFndFiFKhQHjwMsvLy8Rmp1aLqBgwduwN1n/6AYKNLfjr6nH5AywMXiQ6Mcb5nzxLqLkNs9WC1eHEE6qka8/tDL1xgJXFMLHpScwOO5vu+zzx2RmyiRiFbJpCLksxl6W6qxe728PC4CUsdicVja14q2twBysYOPgKvpo6IuMjlNweGjbcx/jxt4hOTVIuFmjesh1PVTUDB15i6xcex2q3M3nqbeJzM5TLJcxYWffZL5KIJjEw6LhpL2NvHWLuwjnK5TKlQoFAfSPde+/AarNjGAbzl/qp6e4lPjeNw+vHE6q8VsMvIiIiIiIicl1T9WeRa8TqcGKxWqloanlXoAjg8Pqw2OxXXnfsuoWWvu24AhWko8uYzCZyiRhms5nq7h7Wfepego1NlLI58uk07lAV5XKZlaUw7mCI+Ow0hWwGi81OdVMzdb0bSEeWGX/7TWp71+NwuzHKRQYOvET/Sz9m+I3XMOx2fNV15OJRysUSo0cOUchkCI+PMjF4mY377ycenmP23BmS4QWGXn+V1u03EZkYw+Z0UcrnmTs1x+LwNDaPB29lFanoMovDg3hCVay7cz9dN+2luqsHV0UlC0OXyK0ksdrtNKzfhMlqYejQqxjlMoVUCqvdQWRyHFcgiNXuWH0wziCLoyMsDg8Samlj42cfwldXj6+6llI+R3x2mmPffIJ0NEq5WCQ8fJlcaoWRt95gYfDShzncIiIiIiIiIh8rmqko8hHUtGnr+x4v5nKU8nkKmSw2t4dCOsXsudPU927g/HM/ZMsDD7OytMjAgZfwhEJUtXfRuLGP6f4zZGMxsskEDoeD6TMn2PqFx5m/eA7DgHPPfh9vVS1Nm7cxdvQNysDC2Ai7H/4i4aEBwkMDJBdmadt1M7lUGn9FiMjUBBvvuZ/l8VEuvfoilMskw3O4AhVk4jEAMksFbAE/5fIMiUwWTGB3eyiXS8TnpkkszFHXu4GLP3mWVGQJu8OJp7KK9p03M33uNCaLBZvbw8hbh7C73Ky/+zO4/EEAps+eJNTaQSoaAcNgeWKU+vWbWRoZxiiXsXt8FLMZOvfs5fSPvsPG/Q9S1dHN2WeewiiXWRodxu5y0bR5G4ZhvCfYFREREREREZFfTKGiyHWkecs2oMxs/znMJQuYzXTs3MPE6bcpFYvMnD9NVXsXmz7zOdwVIYr5PMVshuXRIfy19ZhMJsYvXWDN1u04PF7abtyNYRjU9qxjeXyU6NQEm+//DUr5PK5AkHQ0ysjh12jYuJnO3XuZv3CO+OwMLrsdk9lMOrpMMZelbfsuwsOXmTz1NuVCAUwmTFYrlRvNJOZmAH62ryNsvu/zpJaXsDld1HT3MnX6OA0b+1i4fIH6bVswmWC2/ywWqwW720MuEcfk8ZBLJZm7eJ6OnTcDkAwv4KttWJ3JmM2STyUJD13GV1tHNpmgmMtislioaGzB5Q8w03+G+Mwk5WKR9Z95AIoGDo+HyOQ4o28d4obf+M1rNawiIiIiIiIi1x2FiiLXEavdQfuNe3D5gxSyObKJGPVrNxKbnqJcKODw+AgPXcbqcBAsNDP4+k8pZDJY7HYK2Sw3/MaXMFnM2J0uADLxGIZRxh0M4drUx6nvf4t0JEIiPEc8PE9iZppgYzPNW24kFVlieXyUcqkIGWitbeD0009hczhZGW7CGihhC1oItbVQzGaxOZ2koxE6btpLJpkgMjpMLrVCuVgkOjVBOhbFbLWwcf8D5DNpgg2NZGJRbC43Fo8Hi81G1+5bGTv2Jv76BhaHBpi/eB6nL0BFcyvx+RlCre34a+txV1RQzOWo7VnHmWe+Ry6ZpKZrDV43ZBNxLA4HkfFRNn3mcxgmGDr4CtWdPbRs3U4hm6FULHLuuR/ir62nbfuuazzKIiIiIiIiIh99ChVFrkN1vRuITI4zdeY4TVu2UdnWgd3jobZnLWaLBYDw8AC5RBx/fSPpyDLeqmqiU2PU9W64cp2FgYuUCgU6d+/FZDaz7aEvkk3Emb14ltRSGMMoE5udZuC1l4lNT2CyWvFV1zE3OY6/to7mvhtYHB6kYfN6sssGaeM5bA4HDes2AQaeUBVWh4PliTFS4XnW3XMfJrOZ9p17ADj2rScYPPRTlkYG2fr5xyhks4CJipY2LBYr5VKJ1FIYVyBI6/abmLtwltjsNJHJMcrFEoGGJoYPv4bD66Olbztmq5VUIo7ZMLBbS4ydH8ZyeYxSoUB191rOv/Ajem77FA6vj7q1q8/BE6qksq2Thcv9V56diIiIiIiIiPxyKtQicp2qaGqhunMNJpOZmu5eOm/aeyUUG3nzdRweL32fe4S2G3ZSLhYwW62UikUAYjNTHP/uN7C5PURnJknHokSnJ+h/8Rmc/gCBugaMYonmLdvY8sDDlPJ5AMwWC019N+C0WTn//A+ZOnWcXDKJpeISrs5LWB0OuvbcxsCBlxh96xBzl84z+tYbZJNxkuEFBg++wvHvfoPFkUFyK0kqmlpZHhumqe8GHF4fxVyWiZNHOfqN/0YmEaeQzdC6/SY6dt3C7LlTBBub8VZVkwzPU79+E1Onj+Pw+nD6A4RaO5g8+TZWk5mq9k7mRyfxVNdiGNBx0y2shOcJ1DeSTcTo2n0rdtfqbE2LzU7tml4A4nOzGIZx5RkbhkFkcvxdx0REREREREREMxVFriulQoHhNw7QsesWbC4X5UKB5GIYp88PQHR6krFjhwm1tHHp1Rdx+vz03HYX7soqlkaHqe5cw9DrPyXU3omvuhaH20MumcBiteIJVVG/diMA4aEBXH4/LVt3MPbWIdLRZXx1DSQX5vAEgliA1PISGAYGZRz+AEsjg2x/+Euko8tUtnUQnZkiFY1gMplIhOfpvvVOBl/7CTank8T8HPOX+mnYuIVsMkHjhi2MHTvCwuV+bD4vGAb9LzyD0+8nMT9LRXMrmM3MnD+DOxjEbLXhr60nOjVBRXMb5Xweq91OdHKcxo19tGzdTiYWxRUIcvGV5wnUNWKUy0ycPIbZbMEZCJJNrZCYm2FleZGarh48lVVkk0ny6RTFxDyXDx7E5g2STSTYfP9DODzeazjyIiIiIiIiIh8tChVFriMmsxnDMDjxvW+y9XOPsTQxytLYMIG6euxuD4nwPNlEnIWhAVyBAK5gCKNsEGpuw2K3szw2QjoaITx8GbPVSvvOm9nywMM4vD4AFgYvMnXmBI2b+igVCsxdOk94ZAjDKFPK57C5XMwPXnqnN4TaOigX8lQ0tVDKFzjx1Dcp5rJUtnYQau1gZXGBTCwCJjOz509T2dqBp6qapk1bKZeKWGx2Kls7iM1MsTB4kcq2DurWbaT/hacxW8z03HoXFocdkwHeyiool7G7vaSjES6/+gL+uoYrS6UBNuy/n9j0JKNH3yAyMUZtz1qK2QyYTBhlgw333I+vuoaLP3mWzM+Whjdu6MMVCKzeQ6HI4sgg+cg0hVyObCa8WhH72Jt07t4LBticzms0+iIiIiIiIiIfHQoVRa4jZouFNXv30f/C08z2n8YdrKCmqxe728Pi2BBGqYTN6SKfTtN2251Mnz3N3MVz1PWux+71UshkqOrsZvrMSbpuvh2T2cTZZ56ifcce7B4PuZUVKju68NfWM3fxPMGGJsrFAq3bd7Fw+QJVHd1Ud3RRyGRYHhvG4fGxNDrE4IGfUMjnwIByoUBleyfDb7xGPp3G7nbjCgZxur24K6tx+nyYzGbKhTL9z3yPth27CdQ30rx5Gw0bN2Ox2tj2hcfJJuKMHTv8s+XNfhYGL+EKVFDIZdlwz2exuT2klpcYfesQvbd9iuHDr9G15zYwmUjMz1EqFlleWKC6q5eFgQvM9p+lbecexo4dZu2+TxOfm2by1NvYXW4mTh4lt7I6S7Gmq4foXIT1+z/P4MFXiM1MsbK4QC6dwmwyseHT92Myma71r4KIiIiIiIjINaVQUeQ6Y7ZaWXPbXQy+/ir1azcwffYU+XSK8NBlDKMMmKju6iY2O0MquoTd4yUVWWL67EnsHg/FbBa7y43N4WRpZAh/XSOLo0M0rN+Ct7qGli03MHn6OAsDFymXinhqalkYvLRaJTmX4+JLz2Jzudn+8Jd4+ztPUt2+Bm91NanIMonwHFa7g4qmVtp37OHo979Frbedtm078dc1MHP+NP7aeoq5LCuLC2CxcOGlH7Px3geZPHWM6XMnqe1Zh6+6Fkxm0tEIdo+HytZOTCYzDq+P+cv9pGNR6uoaWJ4Yxe52M/jGT8mnUrTv3EN15xqqO9cwd/E8w28exO3z03vzbYRaO3H6/Ti9PmxOJ1XtXVS1d1Eulwg2tZCYnWH63CmKuRyFbIaxo4dpvWEnY8fexO72kI3HKGYz5NNpHB7Ptf41EBEREREREbmmFCqKXIecPj9GuczKYpjannVEJsfZ9JkHOfX9bxNoamFxeBCAtu27mL14Hl9NLel4FLPVRqilg+YtNxCZHGfi5LHVIi4WK4VsCqvdTjaZoHnzNmq7e5k4eYy1t93NhZd+jKeymoqmFtyhSjyhShZHh6jtWc/MuVNUZjooFvJkohGatmzn1FPfJJdOs27PbZSLBQYPvorD58col3D6/AwceJna3vW8/tS3+Oy//mPcwRB2n5/a7rVY7TZGjxyi+9Z91K/fxOiR1wk2NOP0B7jw4o/x1tYxNzyAKxCkkMngrarB6nBQt3YTl159kUI6jbe6mvDgZZq3bKdhwyYAAnX1nPrBt2nZuuNdz9JstrA0MkQ+vYLJBOlYBBMmcukU8blZunbfSiYeI7E4TzI8r0BRREREREREBIWKItel+csXyGfSlIoFgjY7ZqsFh9e/umw4laSUy1LZ3kWopZ3K9i5sThdGuUy5WKBcKrI8OU4+tbI6M7FvOxOn3mbm3GmcvgAz509T2dZJIZvBbLFw8qlvsv2RL2F1rO4lmJifZfitQxiFIvlMGn9tPbHZKSw2G5hMzF08j8VmxxWwsbIUprlvO4sjgxiGQW3PWirbOqnuXkOwqZl//tdPsjw+wol//AY7HvvtK/eXTSSwWG3U9awjUNdAKrLMyJsHadu+i0Q8yvDxo2SWwngrq3H4/NSs6cVisZBPrWC2WLC53D9/TukVHD4/qaVFum+5A1egAoCB116mpquHiuZW7G43+UyK1ht24qms5vxzPyS/kqSQSbM0OkR4eIDeffeQTSRILMzhr63/8AddRERERERE5CNEoaLIdcYolwkPXcJfU09sdpr5S+epau/CMAzsXi9Of4DChi3kUylcgSAAuXSKydPHKRfy+H9WxXnnb/5zysUC/S88TXVH9+qyaK93dRl1uUwutYK/roHW7buYOnuS1q07MFutOP1+svEY1V29hAcukFwM466owF0RonnLdvIrK5QKeZYnRgEThWya1ht24gxUEJkYZXF0iKWRYcKDl6lfv5nIxBjr7/oMycUwvuoaAOrXb+T0D77Dpvs+TzaRZODASzSs30Q2GaepZz09N+0lOj25uiw7k8bu8mBzucinUpjMZtpu2IXN5Wbm7CnKxSLx2RmMchFfdS3Dbx7EW1VDqKUNpz/AxMljpJYXSSzMkYlFySYTbP38Y1jsduwuN8NvHsRstTF56jjuitDq8+rqoX7dRjyhKu2vKCIiIiIiIp9IChVFrjMms5m1d97L2WeeoqKpicXhQdp33szQ66/i9Ado274Lq92BUSpf+Ux8doZiJg1mC05/kN477gHAbLVR1bmG2NwMXbtvpaKphUI6TXx+lkI6RdfuWzFbbYwcOUi5XMYM2N1eNu5/gHPP/QhMJjyhSoq5LLXd67C73MycPwMmiEyO4QlVEahvoKa7l/PP/RCrw8nK4gJdN9+Op7KK88/9AJPZwuUDL5FPp9n1pX+OyWzGZDKz8d4HGXnzdTLxGA6vn9lL/VAuUyqV6N5zG6HmVkLNrZRLJRZHhykXC9Rv2MTchfOMn3gLu9tLqVig5/ZPgWEQHh6gXC5T1daJ3e0Bk4kLLz2Lu6LiZ/sk+rC6XHgqqohOTRBq7WD67ClqunpJzM1QzOeITIxR3bWG2OwUi8MDbP7sQ3hCldfmF0FERERERETkGlKoKHIdsjmd3PAbv8n02VM4vH5yqRU6dt2M2WIBoKKpBYDY7DTLE6M0b7mB6s41+OsaSMejnPju1+m989Ory3tHBmncvJXk4gKZeBRXqJLYzCS1PeuxOl2YLRZi01MsDF6iccNmAHzVtfTsvQOjXGZ+4BK5lSSFbHp1huNKgnKxSLlcJtjYDED/C0+z4dP3M3epn3x6hcXhy8Rm3PTu209qeZGJE0ex2KyYzGbic7P0v/g06+++j3V37ic8cpnZ82dZs3cfU6feJjx4CZc/QNOmrQDMX+pn7NhhnMEKcokEmCA6NUk6uozT5ycTi2KxOxh58yDFfJ7GDZtJx1YLwLTduIuq9i7CwwME6hoYPXqYyPQ4y5OjJJfDxGemScejbLz3QS69/DytW29k7NgRrA47Pbd/SoGiiIiIiIiIfGIpVBS5jllsVoqFHOPHj7Bu36cxW9/9n7TN6cQoljj79FNUda5h9Nhhbnzkt4jPTIFhwu72YnO5SUWWWVlaxOnxsLK0iK+6lq49t165TlVHFxVNzVdel4tFfDV1OLw+/PVNLI0N462qITI1zro797OyvEhifo7GjVswymUqmlqxuVx4QpXEZqcwAZlEHG9NLXMXz1PZ1om3qhqAoTd+itliZfD1V2naso2JE29jtdmoaGrFX1vPiX/8e2wOJ6VikcXhAWrWrMUAXMEgl37yHNXdvVAuU8xlKeXznP7Rd2ndtoOqjm7mL52nrmct/S88TffNd+CrqWf2wlka1m8mm0zg8Hpp37Ebh9vL1NmTOHw+lseGsXu9GMDyxBjNfTcQqG9UoCgiIiIiIiKfaOZr3QER+dXZXB4sFiup5SWO/sPfkY5GKJdLHP/u33Psm39HMZenbJSpbO9itv8MlEqMHn2DiqZWsokYI0dex+ZyU9PZQ8eOPaSjUTZ/9gt07N4LQCqyxMrSIl17bsMdDAGrgeLMhXNc+umLABSyaSIToyTDC4wdO0z/S8+QiUUp5rLA6nJtm8sFQHXnGjp33UI6Hqf3jnso5XKYTLA8McrYscMkwwvYXW7cFSE6du6hkEpjMplwhyqx2u2YrVa2PPAwtT3r6H/+R4y8eZBzz36fhYGLGMUSsLrsenFkkHxqBcMwCNQ14A5Vsjg8gMlsYeC1l/HV1FPR3EomFmFpbBiAYi5HIZ2mrmc9EyePUshmsTlcq3sznjmJw+enXMwzdvQNzvzou8xfvvBhDrWIiIiIiIjIR4pCRZHrWFV7J1seeJj2G2+iYcMWzjzzFEa5TE13D77aembOncJkMhFsaMLu9lDR2kF+ZQWb28PyxCi+mjq8ldWMvnWIQi7Dxns/x/ylC0ydPg7A0tgIS6ND72pz7uJ5ZvvP0H3LHQCEhwZwV4QYOvTT1WIvbi8jbx6kYcMWyuUSZ55+inQ0cuXzvpo6dn7xd3BXhKhobqOQzVIuFgjUN1EuFcnEY7Ru30FVexdmq+VKsRmA0SOHOPfM94DVgNLf0ERd73qyiRjuykpcoUpKuRxWlwuHP4DJYsHm9hBqbmPtnftp2LiFlcUw2ViB1/+3JVLLCbKJOCNvvYHZZqOyrZN8OkVlWxc13b0Usmm69tyKyWzGFazA7vEDYLE7Vqtdi4iIiIiIiHxCafmzyHXO5nRS093LbP9ZzBYr4aEBrDY7bTfexMWXn8dZKhFqaSMTj+GpqiZQW0//i88Qamkj1NrO5Mm38dXWk5ibIZ9aYXlihL7PPQpA67YdACQXF/BUVmE2W6hbu4FsIo7N4QSgY+ceDMNgcWQQi9WJzeGk5467OfHdr7P5gYcJNDRh93jf1WeTycTkyWNMnT3J9oe/zMSJt4hMjTN8+CClQp7cSopyuUzDhs346hpJzk1z4h//nkIuS3PfDaRjUSJT47j9QRLhBRo2biGXTNK4cQsjhw9ilEpYnBbMZjNLI4OkIku4fAHKP3sWy+PzOPwOlsYHKGQyLAxeJDIxSjGXJdjUSmJ+FrvLRSGTweUP4g4Emb/Uj9lsobq7l+jUOL6aug93oEVEREREREQ+QkyGYRgfdqOJRIJAIEA8Hsfv93/YzYt8LJWLRTLJBBdefAZ3RYj2HXtYWVokUN+A0+dn+uxJvNU1BBuaiU5PkkulMJlh6sxJajq7adm6GiAahoHJZLpyXcMwOPYPf8e6u+7FX1v/C9sv5vNkE3GsDgeL4yPMnj2F3e2hmMuy/ZEvv+f8ZHieXGqFiqZWht44QMP6TfS/8Ayb7vs8K8sLTJ54G0wmnF4f6ViErj23UczniU6O4/QHMIwytWvWMXHiKLHZaYxSEZPZQueeW8muJJk+fZyarl7CQ5eutOmuqMQwDCrb2mnesn11RqbZTGVzGzP9Z3B4vMxeOEdVexfRmUmaNvZhc7tZWQqDAXOXzuPw+SmkU2z+7BeuLAkX+aTQ97eIiIiIiLxDMxVFPibMViueihA3PvpbAIy/fQSAytY2IpPjGIbBwuAlkuEFpk6fwGQ2YZTL+GvrCbV0ADB97hTRyXFMZjMbPn0/sDqr8MbHvoLZbPml7Vvt9ivFVixmC6VCns7dn8ZdsVrQpFwu0f/807Ru20mgoRFPZTXuUCWxmSmS4Xn8t3+KHV/8bUbefJ3IxCiGATaHE7PNjtPnp6KplWIui83pZHF4EEyQT6fAKLPtocfJJuKUCnmS4QWiUxOYzGaqurqJTo9jdTrJr6SwlfqIzp3BFYhitlhwVYQYOvgKtd295FMr1Paso+3GmwCIzUxh93i58NKP8VZVY7HasHu8+GvqWBod4vzzP2LN3juvVNoWERERERER+SRRqCjyMfVOOBadnmDw0KuUcjn8dY00bugjPjtNIZcjn05T1dnN0Bs/pe+Bh6np7sVfW0cqEnnXtd4JFN+ZxZhJxMDgXfsdApQKecaPH2V5YhSLzcHlAy/RtLGPUqFAzZq11HT30P/i0wQamlcrU5fLVHf1sGH/A5z98ffIrazgqaxi4/4Hic1Nk1tZYe7CWbY/+ltYbDYsNhsLgxdJR5ep7urBXRHCGaggHYty8cVn8FbVgMlEanmRitYOPMEQVR3dxOdmCNQ3Emq1kSkUaNq8lbmL55g8dZyWbTuwe7zkMxmG3/gp7spq2m7YRbCxmeTiApTLRCbH6dpzG91793Hx5edw+oMUMmmyyTjDhw9S27sOX1XNhzGsIiIiIiIiIh8JChVFPuYqmlqpX7sRp89POrqM0x9gw6fvZ6b/DBNvH8Ff10igvgkAu8uN3eXGX9vwvtd6+1tP0Lvv0yyPj2KUy3TedMu73jcMg1Ihj9XuIJ9eoWPHbUwcP4LV7qSiuQ1XMETrjbsopDME6hsol8pMnn6bbCyGze2iqqObuYvnSHV0Ex68hCdUxU2/9XuYzD+vKVXT1UtlWxee0OoMyGwijlEsYvd6WVlapLKzm2wyTlV7J2ef+R7tO2+mpmsN3qpaUpFlvDWVWKw2FgYvU8xlyadTLFy+SDGfo6qjCwy49PJzrL/nsywMXqRYyNO8ZRveqhre/vaTAFisVtbuuweb08XM+TM4PB6FiiIiIiIiIvKJoj0VRT7BSsUiFus//f8tJMPzeCqrMVt++VJogNjsFPHZGRLheRJzM/Tc/ikGXnuZYGMz6+66FwzjSli4PDGG3eViZSmMUS4zefoEtd29GEDD+k04fav/ToSHB7G73bgCFYweeR1vTR3Tp99mx2/+M/LpNOnIEtGpSXy1ddR09awujzabOfHtr7P2rv1cevl5DKPMjsd/G7PVxoUXf0w6FsHu9pCJR3F4/dSv3YCnqpqFgYusRJbIRCNsf+TLmMxmEvNzrCyHcXj9jBx+DavDSXPfdmb7z+Bwe9h474O/0jiIXC/0/S0iIiIiIu/QTEWRT7CrCRSBq6p4bLHZsTldbPz0/eTTKTLxOCaTmabN25g+c4KVpTBr79wPQGVrOwClQoGJE0fZfN/nOfWDb2N1OIjPTtG+cw+DB1/FYrOtVp72eHAHQ6wszrPtoS9ilA2sdgehlnZCLe1X+mB3ewC48fHfxmq303vnp1lZXMDqcGIYBq5QFYmFWcw2G8GGZipa2ohNT+IOVeLw+ojOTFLd2cPMuVPE52ao7lzD8ugwJouV6q5ecisJsokEJrOZpi3brupZioiIiIiIiFzPFCqKyAfCV12Lr7oWWA337G4PG/ffj6eqmvTyEjU9697zGU9VNc192wkPXSbQ0Ezjhk0MHz5IqVCktmcdGAah9k4uvvRjOnbeTD6dIjI9QTqyTC6ZoHvvnVjtdgAWBi8Sn5tlzd59V47ZnE4y8RiwWoCmlMusFnRp6yQTj2J1OIhMjlHbs45SoYDT46OmqxtfbQPR6QnMFgt9Dz7CzPnT1K/biMVmZ/L0cdzBCiqaWj+cBysiIiIiIiLyEWD+H58iIvLr4aupw2y2kEnE4X02XrA5nIRa2qhbu5HOm27GV1O/Oltxfpbl8RFatu2glMtjlEqYzWbG3z7CyOGDOH1+CpkM85f7r1zLX9tAqKWdUrH48/ara+m57S6mz53i0qsv0n3LHWzc/yCz/WeuVIz2VtWQScRp37GblaUwl159EbPFQlVbJ6HmttVZiZu3YbGtBpUtfdtZu+/TH/izExEREREREfko0UxFEfnQdey6+Re+ZxgGk6eO0dK3HavdTtPmbQy+9jLr7r6PU9//FlaHk/adt+D0B3D6/JhMJqbOnGTtHffgq1mdGZlLrTB5+m2K2Rzp6DItW2+8cv1sMkFyYQ4DWBi4SP26jfhq6rA4HBjlMoVslnR0CZPJRNOW7RjlIiaT6YN+JCIiIiIiIiLXFYWKIvKRY7Ha4GdBXnVHNy5/kMWRAdzBCuweL9Wd3RjlMvH5WWq61tDavAt/XT0AZ595ivp1m8itJLG7vVQ0t7I8PsLEyWP0PfgIF156hsr2LtwVVUTGh8kk4qQiy/TecQ/uYJDGzVvxVVUD0Lrtxl/YRxEREREREZFPMlV/FpHrQiYRwygbuIMV7zp+8SfPkUnE2PaFxwE4+s2/xeZwYnN7KOayZGJRans3UMrlaNu5h7NP/yOlQgGLzUYhk8YdqiS3soK7IsQmVW8W+aX0/S0iIiIiIu/QTEURuS64/MH3Pe6vq6eyo/vK674HHiERniMyMY7T5yfY2ExVWycms5lcMoHFbqd9xx7S8SgzZ09isdpo7ttOKZ/7kO5ERERERERE5PqnmYoi8olklMtEZ6dweny4K0LXujsi1wV9f4uIiIiIyDs0U1FEPpFMZjOhptZr3Q0RERERERGR65L5WndAREREREREREREri8KFUVEREREREREROSqKFQUERERERERERGRq6JQUURERERERERERK6KQkURERERERERERG5KgoVRURERERERERE5KooVBQREREREREREZGrolBRREREREREREREropCRREREREREREREbkqChVFRERERERERETkqihUFBERERERERERkauiUFFERERERERERESuikJFERERERERERERuSrWa9GoYRgAJBKJa9G8iIiI/Are+d5+53tcREREREQ+ua5JqJhMJgFobm6+Fs2LiIjI/4RkMkkgELjW3RARERERkWvIZFyD6QblcpnZ2Vl8Ph8mk+nDbl5ERER+BYZhkEwmaWhowGzWDioiIiIiIp9k1yRUFBERERERERERkeuXphmIiIiIiIiIiIjIVVGoKCIiIiIiIiIiIldFoaKIiIiIiIiIiIhcFYWKIiIiIiIiIiIiclUUKop8At166638y3/5L99z/Otf/zrBYBCAP/3TP8VkMnH33Xe/57w///M/x2Qyceutt77nvenpaex2Oxs2bHjftk0m05U/gUCA3bt3c+DAgSvvHzp0iM985jM0NDRgMpl4+umnf5VbFBEREREREZEPkEJFEfmF6uvree2115ienn7X8a997Wu0tLS872e+/vWv89BDD5FIJDh27Nj7nvPkk08yNzfHm2++SVVVFffeey+jo6MApFIpNm/ezF//9V//em9GRERERERERH5tFCqKyC9UU1PDXXfdxTe+8Y0rx44cOcLS0hL79+9/z/mGYfDkk0/yxS9+kUcffZQnnnjifa8bDAapq6tjw4YN/M3f/A2ZTIZXXnkFgHvuuYevfvWrPPDAAx/MTYmIiIiIiIjI/zSFiiLyS33lK1/h61//+pXXX/va13jsscew2+3vOfe1114jnU6zb98+Hn/8cb773e+SSqV+6fVdLhcA+Xz+19pvEREREREREfngKFQUkV/q3nvvJZFIcOjQIVKpFE899RRf+cpX3vfcJ554gocffhiLxcKGDRvo6Ojge9/73i+8djqd5o//+I+xWCzs3bv3g7oFEREREREREfk1s17rDojIR5vNZuPxxx/nySefZHR0lDVr1rBp06b3nBeLxfjhD3/I4cOHrxx7/PHHeeKJJ/jyl7/8rnMfeeQRLBYLmUyG6upqnnjiife9poiIiIiIiIh8NClUFPkE8vv9xOPx9xyPxWIEAoH3HP/KV77Cjh076O/v/4WzFL/97W+TzWbZsWPHlWOGYVAulxkcHGTNmjVXjv/FX/wF+/btIxAIUF1d/Wu4IxERERERERH5MGn5s8gnUE9PD6dOnXrP8VOnTr0r/HvH+vXrWb9+Pf39/Tz66KPve80nnniCP/zDP+TMmTNX/pw9e5abb76Zr33ta+86t66ujq6uLgWKIiIiIiIiItcpzVQU+QT6vd/7Pf7qr/6K3//93+d3fud3cDgcPP/883znO9/h2Weffd/PHDhwgEKhQDAYfM97Z86c4dSpU3zrW9+it7f3Xe898sgj/Nmf/Rlf/epXsVr/x//krKysMDw8fOX12NgYZ86cIRQK0dLScnU3KiIiIiIiIiIfCM1UFPkE6ujo4NChQ1y+fJl9+/axY8cOnnrqKb73ve9x9913v+9nPB7P+waKsDpLcd26de8JFAEeeOABwuEwL7zwwj+pbydOnKCvr4++vj4A/uAP/oC+vj7+5E/+5J92cyIiIiIiIiLygTMZhmFc606IiIiIiIiIiIjI9UMzFUVEREREREREROSqKFQUERERERERERGRq6JQUURERERERERERK6KQkURERERERERERG5KgoVRURERERERERE5KooVBQREREREREREZGrolBRREREREREREREropCRREREREREREREbkqChVFRERERERERETkqihUFBERERERERERkauiUFFERERERERERESuikJFERERERERERERuSr/P2SQQXgPfzjMAAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "scanpy.pp.neighbors(adata, use_rep=\"scgpt\")\n", "scanpy.tl.umap(adata)\n", "scanpy.pl.umap(adata, color=\"cell_type\", title=\"scGPT\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### AnnData embeddings via `ExperimentAxisQuery`\n", "\n", "Using an `ExperimentAxisQuery` to get embeddings into an AnnData has the main advantage of inspecting the query in a lazy manner before loading all data into AnnData.\n", "\n", "As a reminder this class offers a lazy interface to query Census based on cell and gene metadata, and provides access to the correspondong expression data, and cell/gene metadata.\n", "\n", "Let's initiate a lazy query with the same filters as the previous example." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "census = cellxgene_census.open_soma(census_version=CENSUS_VERSION)\n", "\n", "experiment = census[\"census_data\"][EXPERIMENT_NAME]\n", "query = experiment.axis_query(\n", " measurement_name=\"RNA\",\n", " obs_query=soma.AxisQuery(value_filter=\"tissue_general == 'central nervous system'\"),\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, before downloading all the data we can take a look at different attributes, for example the number of cells in our query." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "31780" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "query.n_obs" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And for example grab all the `soma_joinid` values for the cells in this query." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "soma_joinids = query.obs_joinids().to_numpy()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Then create an AnnData." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "adata = query.to_anndata(X_name=\"raw\", column_names={\"obs\": [\"cell_type\"]})" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And finally add the embedding matrix via `get_embedding` for the cells of the query using the `soma_joinid` values." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "adata.obsm[\"scgpt\"] = get_embedding(\n", " census_version=CENSUS_VERSION,\n", " embedding_uri=EMBEDDING_URI,\n", " obs_soma_joinids=soma_joinids,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "⚠️ **IMPORTANT**: `get_embedding` will fill in missing values in the embedding matrix with `NaN`, therefore missing cells are represented with rows where all values are `NaN`. To learn more use `help(get_embedding)`." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "AnnData object with n_obs × n_vars = 31780 × 60664\n", " obs: 'cell_type', 'tissue_general'\n", " var: 'soma_joinid', 'feature_id', 'feature_name', 'feature_length', 'nnz', 'n_measured_obs'\n", " obsm: 'scgpt'" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "adata" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "query.close()\n", "census.close()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Load an embedding into a dense NumPy array\n", "\n", "To load a embeddinng into a stand-alone numpy array you can select cells from the Census based on obs metadata, then given the resulting cells, use the `soma_joinid` values to download an embedding, and finally save as a dense NDArray.\n", "\n", "Let's first select cells based on cell metadata" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "census = cellxgene_census.open_soma(census_version=CENSUS_VERSION)\n", "\n", "obs_df = census[\"census_data\"][EXPERIMENT_NAME].obs.read(\n", " value_filter=\"tissue_general == 'exocrine gland'\",\n", " column_names=[\"soma_joinid\", \"cell_type\"],\n", ")\n", "\n", "obs_df = obs_df.concat().to_pandas()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now you can use the `soma_joinid` values to download the corresponding rows of the embedding matrix via `get_embedding`." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[-0.00506592, -0.01348877, -0.03173828, -0.02331543],\n", " [ 0.02404785, -0.02441406, -0.00595093, -0.0065918 ],\n", " [ 0.00070572, 0.00187683, -0.04663086, -0.04614258]],\n", " dtype=float32)" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "embeddings = get_embedding(CENSUS_VERSION, EMBEDDING_URI, obs_df.soma_joinid.to_numpy())\n", "embeddings[0:3, 0:4]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "⚠️ **IMPORTANT**: `get_embedding` will fill in missing values in the embedding matrix with `NaN`, therefore missing cells are represented with rows where all values are `NaN`. " ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(115722, 512)" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "embeddings.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Load embeddings and fetch associated Census data\n", "\n", "This section describes a more advanced use case. Here we showcase how to load large slices of an embeding matrix, and then append cell metadata to them.\n", "\n", "The method starts with the loaded embedding, and for each embedded cell loads metadata or X data." ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
soma_joinidsuspension_type
00nucleus
11nucleus
22nucleus
\n", "
" ], "text/plain": [ " soma_joinid suspension_type\n", "0 0 nucleus\n", "1 1 nucleus\n", "2 2 nucleus" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "array([[-0.00762939, -0.00076675, -0.00047874, -0.03588867],\n", " [ 0.00405884, -0.00239563, 0.00982666, -0.00946045],\n", " [ 0.00473022, 0.0135498 , -0.01049805, -0.03051758]],\n", " dtype=float32)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Load a portion of the embedding (caution: embeddings can be quite large)\n", "\n", "import cellxgene_census\n", "import tiledbsoma as soma\n", "\n", "# Fetch first 500_000 joinids from the embedding.\n", "# NOTE: will fail if the there are no cells embedded within this obs joinid range\n", "embedding_slice = (slice(500_000),)\n", "\n", "emb_data = []\n", "emb_joinids = []\n", "ctx = {\"vfs.s3.region\": \"us-west-2\", \"vfs.s3.no_sign_request\": True}\n", "with soma.open(EMBEDDING_URI, context=soma.SOMATileDBContext(tiledb_config=ctx)) as E:\n", " # read embedding and obs joinids for each embedded cell\n", " for d, (obs_joinids, _) in (\n", " E.read(coords=embedding_slice).blockwise(axis=0, size=2**20, reindex_disable_on_axis=1).scipy()\n", " ):\n", " embedding_presence_mask = d.getnnz(axis=1) != 0\n", " emb_joinids.append(obs_joinids[embedding_presence_mask])\n", " emb_data.append(d[embedding_presence_mask, :].toarray())\n", "\n", " # concat\n", " embedding_data = np.vstack(emb_data)\n", " embedding_joinids = np.concatenate(emb_joinids)\n", "\n", "# Load the associated metadata - in this case, obs.suspension_type\n", "with cellxgene_census.open_soma(census_version=CENSUS_VERSION) as census:\n", " experiment = census[\"census_data\"][EXPERIMENT_NAME]\n", " with experiment.axis_query(\n", " measurement_name=MEASUREMENT_NAME,\n", " obs_query=soma.AxisQuery(coords=(embedding_joinids,)),\n", " ) as query:\n", " obs_df = query.obs(column_names=[\"soma_joinid\", \"suspension_type\"]).concat().to_pandas()\n", "\n", "# Display the first few cells, and the first few columns of their embeddings\n", "display(obs_df[0:3])\n", "display(embedding_data[0:3, 0:4])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Embedding Metadata\n", "\n", "Each embedding contains descriptive information stored in the SOMA `metadata` slot, encoded as a JSON string. This metadata includes:\n", "\n", "* census_version - the Census which is embedded. It is critical to confirm this matches the Census in use, or the embeddings will be meaningless.\n", "* experiment_name - the Census experiment embedded, e.g., `homo_sapiens` or `mus_musculus`.\n", "* measurement_name - the Census measurement embedded, e.g., `RNA`\n", "\n", "There are a variety of other metadata values [documented here](https://github.com/chanzuckerberg/cellxgene-census/blob/main/tools/census_contrib/embedding_metadata.md).\n", "\n", "The following example demonstrates how to access and decode the metadata into a Python dictionary." ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'id': 'CxG-contrib-1',\n", " 'title': 'scGPT: Towards Building a Foundation Model for Single-Cell Multi-omics Using Generative AI',\n", " 'description': 'Utilizing the burgeoning single-cell sequencing data, we have pioneered the construction of a foundation model for single-cell biology, scGPT, which is based on generative pre-trained transformer across a repository of over 33 million cells. Our findings illustrate that scGPT, a generative pre-trained transformer, effectively distills critical biological insights concerning genes and cells. Through the further adaptation of transfer learning, scGPT can be optimized to achieve superior performance across diverse downstream applications.',\n", " 'primary_contact': {'name': 'Bo Wang',\n", " 'email': 'bowang@vectorinstitute.ai',\n", " 'affiliation': 'Bo Wang Lab, University of Toronto'},\n", " 'additional_contacts': [],\n", " 'DOI': '10.1101/2023.04.30.538439',\n", " 'additional_information': '',\n", " 'model_link': 'https://github.com/bowang-lab/scGPT',\n", " 'data_type': 'obs_embedding',\n", " 'census_version': '2023-12-15',\n", " 'experiment_name': 'homo_sapiens',\n", " 'measurement_name': 'RNA',\n", " 'n_embeddings': 62998417,\n", " 'n_features': 512,\n", " 'submission_date': '2023-11-09'}" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "embedding_metadata = get_embedding_metadata(EMBEDDING_URI)\n", "\n", "embedding_metadata" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A common use case for accessing embedding metadata is the prevention of nonsense results, which will occur when the embeddings were not derived from the Census or experiment in use.\n", "\n", "This demonstrates an easy way to grab the embedding metadata and confirm that it matches your expectations." ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'all good!'" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "embedding_metadata = get_embedding_metadata(EMBEDDING_URI)\n", "\n", "assert embedding_metadata[\"census_version\"] == CENSUS_VERSION\n", "assert embedding_metadata[\"experiment_name\"] == EXPERIMENT_NAME\n", "assert embedding_metadata[\"measurement_name\"] == MEASUREMENT_NAME\n", "\n", "display(\"all good!\")" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.13" } }, "nbformat": 4, "nbformat_minor": 4 }